diff --git a/0c/3347168c79/0/content_hash.txt b/0c/3347168c79/0/content_hash.txt
new file mode 100644
index 00000000..5be6fbc2
--- /dev/null
+++ b/0c/3347168c79/0/content_hash.txt
@@ -0,0 +1 @@
+sha256:ecea3c3214d408c40b0d58c76a453915f9e0243d25ac7dec5acdf4fa902b5a7a
\ No newline at end of file
diff --git a/0c/3347168c79/0/full.jsonl b/0c/3347168c79/0/full.jsonl
new file mode 100644
index 00000000..479dd07c
--- /dev/null
+++ b/0c/3347168c79/0/full.jsonl
@@ -0,0 +1,70 @@
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+{"parentUuid":"c9799028-35c4-4f6e-baaa-415c852e0241","isSidechain":false,"type":"user","message":{"role":"user","content":"<local-command-stdout>Set model to \u001b[1mSonnet 4.6 (default)\u001b[22m</local-command-stdout>"},"uuid":"e54a134f-6afa-453c-a84b-c5b6f5b59bc0","timestamp":"2026-03-18T09:53:25.870Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"020fd1ca-672d-4980-ada9-2ebe18ec52db","version":"2.1.78","gitBranch":"hotfix"}
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+{"parentUuid":"31853fd6-a3e4-425f-9453-9ad125e06533","isSidechain":false,"promptId":"f9838e86-7716-4bfa-87ac-5b7b562fe13a","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01W5fTQ8y83vSFmETVB7R2Bc","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"fmt\"\n    10→\t\"maps\"\n    11→\t\"net/http\"\n    12→\t\"strings\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→)\n    22→\n    23→type UpdateNodeStatesRequest struct {\n    24→\tNodes   []schema.NodePayload `json:\"nodes\"`\n    25→\tCluster string               `json:\"cluster\" example:\"fritz\"`\n    26→}\n    27→\n    28→// metricListToNames converts a map of metric configurations to a list of metric names\n    29→func metricListToNames(metricList map[string]*schema.Metric) []string {\n    30→\tnames := make([]string, 0, len(metricList))\n    31→\tfor name := range metricList {\n    32→\t\tnames = append(names, name)\n    33→\t}\n    34→\treturn names\n    35→}\n    36→\n    37→// this routine assumes that only one of them exists per node\n    38→func determineState(states []string) schema.SchedulerState {\n    39→\tfor _, state := range states {\n    40→\t\tswitch strings.ToLower(state) {\n    41→\t\tcase \"allocated\":\n    42→\t\t\treturn schema.NodeStateAllocated\n    43→\t\tcase \"reserved\":\n    44→\t\t\treturn schema.NodeStateReserved\n    45→\t\tcase \"idle\":\n    46→\t\t\treturn schema.NodeStateIdle\n    47→\t\tcase \"down\":\n    48→\t\t\treturn schema.NodeStateDown\n    49→\t\tcase \"mixed\":\n    50→\t\t\treturn schema.NodeStateMixed\n    51→\t\t}\n    52→\t}\n    53→\n    54→\treturn schema.NodeStateUnknown\n    55→}\n    56→\n    57→// updateNodeStates godoc\n    58→// @summary     Deliver updated Slurm node states\n    59→// @tags Nodestates\n    60→// @description Returns a JSON-encoded list of users.\n    61→// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n    62→// @produce     json\n    63→// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n    64→// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n    65→// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n    66→// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n    67→// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n    68→// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n    69→// @security    ApiKeyAuth\n    70→// @router      /api/nodestats/ [post]\n    71→func (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n    72→\t// Parse request body\n    73→\treq := UpdateNodeStatesRequest{}\n    74→\tif err := decode(r.Body, &req); err != nil {\n    75→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n    76→\t\t\thttp.StatusBadRequest, rw)\n    77→\t\treturn\n    78→\t}\n    79→\trequestReceived := time.Now().Unix()\n    80→\trepo := repository.GetNodeRepository()\n    81→\n    82→\tm := make(map[string][]string)\n    83→\tmetricNames := make(map[string][]string)\n    84→\thealthResults := make(map[string]metricstore.HealthCheckResult)\n    85→\n    86→\tstartMs := time.Now()\n    87→\n    88→\t// Step 1: Build nodeList and metricList per subcluster\n    89→\tfor _, node := range req.Nodes {\n    90→\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n    91→\t\t\tm[sc] = append(m[sc], node.Hostname)\n    92→\t\t}\n    93→\t}\n    94→\n    95→\tfor sc := range m {\n    96→\t\tif sc != \"\" {\n    97→\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n    98→\t\t\tmetricNames[sc] = metricListToNames(metricList)\n    99→\t\t}\n   100→\t}\n   101→\n   102→\t// Step 2: Determine which metric store to query and perform health check\n   103→\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n   104→\tif err != nil {\n   105→\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n   106→\t} else {\n   107→\t\tfor sc, nl := range m {\n   108→\t\t\tif sc != \"\" {\n   109→\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n   110→\t\t\t\t\tmaps.Copy(healthResults, results)\n   111→\t\t\t\t}\n   112→\t\t\t}\n   113→\t\t}\n   114→\t}\n   115→\n   116→\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n   117→\tstartDB := time.Now()\n   118→\n   119→\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n   120→\tfor _, node := range req.Nodes {\n   121→\t\tstate := determineState(node.States)\n   122→\t\thealthState := schema.MonitoringStateFailed\n   123→\t\tvar healthMetrics string\n   124→\t\tif result, ok := healthResults[node.Hostname]; ok {\n   125→\t\t\thealthState = result.State\n   126→\t\t\thealthMetrics = result.HealthMetrics\n   127→\t\t}\n   128→\t\tnodeState := schema.NodeStateDB{\n   129→\t\t\tTimeStamp:       requestReceived,\n   130→\t\t\tNodeState:       state,\n   131→\t\t\tCpusAllocated:   node.CpusAllocated,\n   132→\t\t\tMemoryAllocated: node.MemoryAllocated,\n   133→\t\t\tGpusAllocated:   node.GpusAllocated,\n   134→\t\t\tHealthState:     healthState,\n   135→\t\t\tHealthMetrics:   healthMetrics,\n   136→\t\t\tJobsRunning:     node.JobsRunning,\n   137→\t\t}\n   138→\t\tupdates = append(updates, repository.NodeStateUpdate{\n   139→\t\t\tHostname:  node.Hostname,\n   140→\t\t\tCluster:   req.Cluster,\n   141→\t\t\tNodeState: &nodeState,\n   142→\t\t})\n   143→\t}\n   144→\n   145→\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n   146→\t\tcclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n   147→\t}\n   148→\n   149→\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n   150→}\n   151→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"bccb5d2c-3294-41bf-ae94-140df4ceee6d","timestamp":"2026-03-18T09:54:48.381Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"fmt\"\n\t\"maps\"\n\t\"net/http\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\ntype UpdateNodeStatesRequest struct {\n\tNodes   []schema.NodePayload `json:\"nodes\"`\n\tCluster string               `json:\"cluster\" example:\"fritz\"`\n}\n\n// metricListToNames converts a map of metric configurations to a list of metric names\nfunc metricListToNames(metricList map[string]*schema.Metric) []string {\n\tnames := make([]string, 0, len(metricList))\n\tfor name := range metricList {\n\t\tnames = append(names, name)\n\t}\n\treturn names\n}\n\n// this routine assumes that only one of them exists per node\nfunc determineState(states []string) schema.SchedulerState {\n\tfor _, state := range states {\n\t\tswitch strings.ToLower(state) {\n\t\tcase \"allocated\":\n\t\t\treturn schema.NodeStateAllocated\n\t\tcase \"reserved\":\n\t\t\treturn schema.NodeStateReserved\n\t\tcase \"idle\":\n\t\t\treturn schema.NodeStateIdle\n\t\tcase \"down\":\n\t\t\treturn schema.NodeStateDown\n\t\tcase \"mixed\":\n\t\t\treturn schema.NodeStateMixed\n\t\t}\n\t}\n\n\treturn schema.NodeStateUnknown\n}\n\n// updateNodeStates godoc\n// @summary     Deliver updated Slurm node states\n// @tags Nodestates\n// @description Returns a JSON-encoded list of users.\n// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n// @produce     json\n// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/nodestats/ [post]\nfunc (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n\t// Parse request body\n\treq := UpdateNodeStatesRequest{}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n\t\t\thttp.StatusBadRequest, rw)\n\t\treturn\n\t}\n\trequestReceived := time.Now().Unix()\n\trepo := repository.GetNodeRepository()\n\n\tm := make(map[string][]string)\n\tmetricNames := make(map[string][]string)\n\thealthResults := make(map[string]metricstore.HealthCheckResult)\n\n\tstartMs := time.Now()\n\n\t// Step 1: Build nodeList and metricList per subcluster\n\tfor _, node := range req.Nodes {\n\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n\t\t\tm[sc] = append(m[sc], node.Hostname)\n\t\t}\n\t}\n\n\tfor sc := range m {\n\t\tif sc != \"\" {\n\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n\t\t\tmetricNames[sc] = metricListToNames(metricList)\n\t\t}\n\t}\n\n\t// Step 2: Determine which metric store to query and perform health check\n\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n\tif err != nil {\n\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n\t} else {\n\t\tfor sc, nl := range m {\n\t\t\tif sc != \"\" {\n\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n\t\t\t\t\tmaps.Copy(healthResults, results)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     healthState,\n\t\t\tHealthMetrics:   healthMetrics,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n}\n","numLines":151,"startLine":1,"totalLines":151}},"sourceToolAssistantUUID":"31853fd6-a3e4-425f-9453-9ad125e06533","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"020fd1ca-672d-4980-ada9-2ebe18ec52db","version":"2.1.78","gitBranch":"hotfix","slug":"glimmering-swimming-pie"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"fmt\"\n\t\"maps\"\n\t\"net/http\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\ntype UpdateNodeStatesRequest struct {\n\tNodes   []schema.NodePayload `json:\"nodes\"`\n\tCluster string               `json:\"cluster\" example:\"fritz\"`\n}\n\n// metricListToNames converts a map of metric configurations to a list of metric names\nfunc metricListToNames(metricList map[string]*schema.Metric) []string {\n\tnames := make([]string, 0, len(metricList))\n\tfor name := range metricList {\n\t\tnames = append(names, name)\n\t}\n\treturn names\n}\n\n// this routine assumes that only one of them exists per node\nfunc determineState(states []string) schema.SchedulerState {\n\tfor _, state := range states {\n\t\tswitch strings.ToLower(state) {\n\t\tcase \"allocated\":\n\t\t\treturn schema.NodeStateAllocated\n\t\tcase \"reserved\":\n\t\t\treturn schema.NodeStateReserved\n\t\tcase \"idle\":\n\t\t\treturn schema.NodeStateIdle\n\t\tcase \"down\":\n\t\t\treturn schema.NodeStateDown\n\t\tcase \"mixed\":\n\t\t\treturn schema.NodeStateMixed\n\t\t}\n\t}\n\n\treturn schema.NodeStateUnknown\n}\n\n// updateNodeStates godoc\n// @summary     Deliver updated Slurm node states\n// @tags Nodestates\n// @description Returns a JSON-encoded list of users.\n// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n// @produce     json\n// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/nodestats/ [post]\nfunc (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n\t// Parse request body\n\treq := UpdateNodeStatesRequest{}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n\t\t\thttp.StatusBadRequest, rw)\n\t\treturn\n\t}\n\trequestReceived := time.Now().Unix()\n\trepo := repository.GetNodeRepository()\n\n\tm := make(map[string][]string)\n\tmetricNames := make(map[string][]string)\n\thealthResults := make(map[string]metricstore.HealthCheckResult)\n\n\tstartMs := time.Now()\n\n\t// Step 1: Build nodeList and metricList per subcluster\n\tfor _, node := range req.Nodes {\n\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n\t\t\tm[sc] = append(m[sc], node.Hostname)\n\t\t}\n\t}\n\n\tfor sc := range m {\n\t\tif sc != \"\" {\n\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n\t\t\tmetricNames[sc] = metricListToNames(metricList)\n\t\t}\n\t}\n\n\t// Step 2: Determine which metric store to query and perform health check\n\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n\tif err != nil {\n\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n\t} else {\n\t\tfor sc, nl := range m {\n\t\t\tif sc != \"\" {\n\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n\t\t\t\t\tmaps.Copy(healthResults, results)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     healthState,\n\t\t\tHealthMetrics:   healthMetrics,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n}\n","structuredPatch":[{"oldStart":34,"oldLines":23,"newStart":34,"newLines":28,"lines":["   return names"," }"," ","-// this routine assumes that only one of them exists per node","+// determineState resolves multiple states to a single state using priority order:","+// allocated > reserved > idle > down > mixed.","+// Exception: if both idle and down are present, idle is returned."," func determineState(states []string) schema.SchedulerState {","-  for _, state := range states {","-    switch strings.ToLower(state) {","-    case \"allocated\":","-      return schema.NodeStateAllocated","-    case \"reserved\":","-      return schema.NodeStateReserved","-    case \"idle\":","-      return schema.NodeStateIdle","-    case \"down\":","-      return schema.NodeStateDown","-    case \"mixed\":","-      return schema.NodeStateMixed","-    }","+  stateSet := make(map[string]bool, len(states))","+  for _, s := range states {","+    stateSet[strings.ToLower(s)] = true","   }"," ","+  switch {","+  case stateSet[\"allocated\"]:","+    return schema.NodeStateAllocated","+  case stateSet[\"reserved\"]:","+    return schema.NodeStateReserved","+  case stateSet[\"idle\"]:","+    return schema.NodeStateIdle","+  case stateSet[\"down\"]:","+    return schema.NodeStateDown","+  case stateSet[\"mixed\"]:","+    return schema.NodeStateMixed","+  }","+","   return schema.NodeStateUnknown"," }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"126f1c7d-3e19-4fa5-bcdd-994e1dd5f9b7","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"020fd1ca-672d-4980-ada9-2ebe18ec52db","version":"2.1.78","gitBranch":"hotfix","slug":"glimmering-swimming-pie"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"fmt\"\n\t\"maps\"\n\t\"net/http\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\ntype UpdateNodeStatesRequest struct {\n\tNodes   []schema.NodePayload `json:\"nodes\"`\n\tCluster string               `json:\"cluster\" example:\"fritz\"`\n}\n\n// metricListToNames converts a map of metric configurations to a list of metric names\nfunc metricListToNames(metricList map[string]*schema.Metric) []string {\n\tnames := make([]string, 0, len(metricList))\n\tfor name := range metricList {\n\t\tnames = append(names, name)\n\t}\n\treturn names\n}\n\n// determineState resolves multiple states to a single state using priority order:\n// allocated > reserved > idle > down > mixed.\n// Exception: if both idle and down are present, idle is returned.\nfunc determineState(states []string) schema.SchedulerState {\n\tstateSet := make(map[string]bool, len(states))\n\tfor _, s := range states {\n\t\tstateSet[strings.ToLower(s)] = true\n\t}\n\n\tswitch {\n\tcase stateSet[\"allocated\"]:\n\t\treturn schema.NodeStateAllocated\n\tcase stateSet[\"reserved\"]:\n\t\treturn schema.NodeStateReserved\n\tcase stateSet[\"idle\"]:\n\t\treturn schema.NodeStateIdle\n\tcase stateSet[\"down\"]:\n\t\treturn schema.NodeStateDown\n\tcase stateSet[\"mixed\"]:\n\t\treturn schema.NodeStateMixed\n\t}\n\n\treturn schema.NodeStateUnknown\n}\n\n// updateNodeStates godoc\n// @summary     Deliver updated Slurm node states\n// @tags Nodestates\n// @description Returns a JSON-encoded list of users.\n// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n// @produce     json\n// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/nodestats/ [post]\nfunc (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n\t// Parse request body\n\treq := UpdateNodeStatesRequest{}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n\t\t\thttp.StatusBadRequest, rw)\n\t\treturn\n\t}\n\trequestReceived := time.Now().Unix()\n\trepo := repository.GetNodeRepository()\n\n\tm := make(map[string][]string)\n\tmetricNames := make(map[string][]string)\n\thealthResults := make(map[string]metricstore.HealthCheckResult)\n\n\tstartMs := time.Now()\n\n\t// Step 1: Build nodeList and metricList per subcluster\n\tfor _, node := range req.Nodes {\n\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n\t\t\tm[sc] = append(m[sc], node.Hostname)\n\t\t}\n\t}\n\n\tfor sc := range m {\n\t\tif sc != \"\" {\n\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n\t\t\tmetricNames[sc] = metricListToNames(metricList)\n\t\t}\n\t}\n\n\t// Step 2: Determine which metric store to query and perform health check\n\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n\tif err != nil {\n\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n\t} else {\n\t\tfor sc, nl := range m {\n\t\t\tif sc != \"\" {\n\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n\t\t\t\t\tmaps.Copy(healthResults, results)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     healthState,\n\t\t\tHealthMetrics:   healthMetrics,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); 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MonitoringStateFull: all expected metrics are healthy\npkg/metricstore/healthcheck.go:150://   - MonitoringStatePartial: some metrics are missing or degraded\npkg/metricstore/healthcheck.go:151://   - MonitoringStateFailed: node not found, or no healthy metrics at all\npkg/metricstore/healthcheck.go:162:\t\t\tresults[hostname] = HealthCheckResult{State: schema.MonitoringStateFailed}\npkg/metricstore/healthcheck.go:178:\t\tvar state schema.MonitoringState\npkg/metricstore/healthcheck.go:181:\t\t\tstate = schema.MonitoringStateFull\npkg/metricstore/healthcheck.go:183:\t\t\tstate = schema.MonitoringStateFailed\npkg/metricstore/healthcheck.go:185:\t\t\tstate = schema.MonitoringStatePartial\ninternal/graph/generated/generated.go:2275:scalar MonitoringState\ninternal/graph/generated/generated.go:2287:  healthState: MonitoringState!\ninternal/graph/generated/generated.go:2703:  healthState: MonitoringState\ninternal/graph/generated/generated.go:8215:\t\tec.marshalNMonitoringState2string,\ninternal/graph/generated/generated.go:8228:\t\t\treturn nil, errors.New(\"field of type MonitoringState does not have child fields\")\ninternal/graph/generated/generated.go:13546:\t\t\tdata, err := ec.unmarshalOMonitoringState2ᚖstring(ctx, v)\ninternal/graph/generated/generated.go:18450:func (ec *executionContext) unmarshalNMonitoringState2string(ctx context.Context, v any) (string, error) {\ninternal/graph/generated/generated.go:18455:func (ec *executionContext) marshalNMonitoringState2string(ctx context.Context, sel ast.SelectionSet, v string) graphql.Marshaler {\ninternal/graph/generated/generated.go:19579:func (ec *executionContext) unmarshalOMonitoringState2ᚖstring(ctx context.Context, v any) (*string, error) {\ninternal/graph/generated/generated.go:19587:func (ec *executionContext) marshalOMonitoringState2ᚖstring(ctx context.Context, sel ast.SelectionSet, v *string) graphql.Marshaler {\ninternal/api/node.go:129:\t\thealthState := schema.MonitoringStateFailed\ninternal/api/nats.go:440:\t\thealthState := schema.MonitoringStateFailed\ninternal/repository/node.go:318:// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\ninternal/repository/node_test.go:168:\t\tHealthState:     schema.MonitoringStateFull,\ninternal/repository/node_test.go:203:\t\t\t\tHealthState:     schema.MonitoringStateFull,\ninternal/repository/node_test.go:240:\t\t\tHealthState:     schema.MonitoringStateFull,\ninternal/repository/node_test.go:282:\t\t\t\tHealthState:     schema.MonitoringStateFull,"}]},"uuid":"ba5b270e-060e-4c68-84be-171799131c63","timestamp":"2026-03-18T10:16:24.384Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"pkg/metricstore/metricstore_test.go:674:\t\twantStates      map[string]schema.MonitoringState\npkg/metricstore/metricstore_test.go:681:\t\t\twantStates: map[string]schema.MonitoringState{\npkg/metricstore/metricstore_test.go:682:\t\t\t\t\"node001\": schema.MonitoringStateFull,\npkg/metricstore/metricstore_test.go:690:\t\t\twantStates: map[string]schema.MonitoringState{\npkg/metricstore/metricstore_test.go:691:\t\t\t\t\"node002\": schema.MonitoringStatePartial,\npkg/metricstore/metricstore_test.go:699:\t\t\twantStates: map[string]schema.MonitoringState{\npkg/metricstore/metricstore_test.go:700:\t\t\t\t\"node003\": schema.MonitoringStatePartial,\npkg/metricstore/metricstore_test.go:708:\t\t\twantStates: map[string]schema.MonitoringState{\npkg/metricstore/metricstore_test.go:709:\t\t\t\t\"node004\": schema.MonitoringStateFailed,\npkg/metricstore/metricstore_test.go:717:\t\t\twantStates: map[string]schema.MonitoringState{\npkg/metricstore/metricstore_test.go:718:\t\t\t\t\"node005\": schema.MonitoringStateFailed,\npkg/metricstore/metricstore_test.go:726:\t\t\twantStates: map[string]schema.MonitoringState{\npkg/metricstore/metricstore_test.go:727:\t\t\t\t\"node001\": schema.MonitoringStateFull,\npkg/metricstore/metricstore_test.go:728:\t\t\t\t\"node002\": schema.MonitoringStateFull,   // Only checking first 2 metrics which are healthy\npkg/metricstore/metricstore_test.go:729:\t\t\t\t\"node003\": schema.MonitoringStateFull,   // Only checking first 2 metrics which exist\npkg/metricstore/metricstore_test.go:730:\t\t\t\t\"node004\": schema.MonitoringStateFailed, // Node doesn't exist\npkg/metricstore/metricstore_test.go:731:\t\t\t\t\"node005\": schema.MonitoringStateFailed, // Both metrics are stale\npkg/metricstore/healthcheck.go:19:\tStatus schema.MonitoringState\npkg/metricstore/healthcheck.go:26:\tState         schema.MonitoringState\npkg/metricstore/healthcheck.go:149://   - 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You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"2a49b9f5-c1e2-4899-8141-33e96adb1cf9","timestamp":"2026-03-18T10:16:28.095Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","content":"\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\t// Build nodeList per subcluster for health check\n\tm := make(map[string][]string)\n\tmetricNames := make(map[string][]string)\n\thealthResults := make(map[string]metricstore.HealthCheckResult)\n\n\tfor _, node := range req.Nodes {\n\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n\t\t\tm[sc] = append(m[sc], node.Hostname)\n\t\t}\n\t}\n\n\tfor sc := range m {\n\t\tif sc != \"\" {\n\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n\t\t\tmetricNames[sc] = metricListToNames(metricList)\n\t\t}\n\t}\n\n\t// Perform health check against metric store\n\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n\tif err != nil {\n\t\tcclog.Warnf(\"NATS nodestate: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n\t} else {\n\t\tfor sc, nl := range m {\n\t\t\tif sc != \"\" {\n\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n\t\t\t\t\tmaps.Copy(healthResults, results)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     healthState,\n\t\t\tHealthMetrics:   healthMetrics,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}","numLines":80,"startLine":400,"totalLines":502}},"sourceToolAssistantUUID":"b1aaee0a-1e0b-4790-8d47-eb717d19fb38","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"020fd1ca-672d-4980-ada9-2ebe18ec52db","version":"2.1.78","gitBranch":"hotfix","slug":"glimmering-swimming-pie"}
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metrics being collected successfully\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib@v1.0.0/schema/node.go:\tMonitoringStatePartial MonitoringState = \"partial\" // Some metrics missing\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib@v1.0.0/schema/node.go:\tMonitoringStateFailed  MonitoringState = \"failed\"  // Metric collection failing\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib@v1.0.1/schema/node.go:\tMonitoringStateFull    MonitoringState = \"full\"    // All metrics being collected successfully\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib@v1.0.1/schema/node.go:\tMonitoringStatePartial MonitoringState = \"partial\" // Some metrics missing\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib@v1.0.1/schema/node.go:\tMonitoringStateFailed  MonitoringState = \"failed\"  // Metric collection failing\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.1-0.20260123065417-b7df4f7ccade/internal/graph/generated/generated.go:\t\t\tdata, err := ec.unmarshalOMonitoringState2ᚖstring(ctx, v)\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib@v0.11.0/schema/node.go:\tMonitoringStateFull    MonitoringState = \"full\"    // All metrics being collected successfully\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib@v0.11.0/schema/node.go:\tMonitoringStatePartial MonitoringState = \"partial\" // Some metrics missing\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib@v0.11.0/schema/node.go:\tMonitoringStateFailed  MonitoringState = \"failed\"  // Metric collection failing\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260224192951-a6e23dd52e80/internal/graph/generated/generated.go:\t\t\tdata, err := ec.unmarshalOMonitoringState2ᚖstring(ctx, v)\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260224192951-a6e23dd52e80/internal/api/node.go:\t\thealthState := schema.MonitoringStateFailed\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260224192951-a6e23dd52e80/pkg/metricstore/healthcheck.go:\t\t\tresults[hostname] = HealthCheckResult{State: schema.MonitoringStateFailed}\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260224192951-a6e23dd52e80/pkg/metricstore/healthcheck.go:\t\t\tstate = schema.MonitoringStateFull\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260224192951-a6e23dd52e80/pkg/metricstore/healthcheck.go:\t\t\tstate = schema.MonitoringStateFailed\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260224192951-a6e23dd52e80/pkg/metricstore/healthcheck.go:\t\t\tstate = 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successfully\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib@v1.0.0/schema/node.go:\tMonitoringStatePartial MonitoringState = \"partial\" // Some metrics missing\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib@v1.0.0/schema/node.go:\tMonitoringStateFailed  MonitoringState = \"failed\"  // Metric collection failing\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib@v1.0.1/schema/node.go:\tMonitoringStateFull    MonitoringState = \"full\"    // All metrics being collected successfully\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib@v1.0.1/schema/node.go:\tMonitoringStatePartial MonitoringState = \"partial\" // Some metrics missing\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib@v1.0.1/schema/node.go:\tMonitoringStateFailed  MonitoringState = \"failed\"  // Metric collection failing\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.1-0.20260123065417-b7df4f7ccade/internal/graph/generated/generated.go:\t\t\tdata, err := ec.unmarshalOMonitoringState2ᚖstring(ctx, v)\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib@v0.11.0/schema/node.go:\tMonitoringStateFull    MonitoringState = \"full\"    // All metrics being collected successfully\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib@v0.11.0/schema/node.go:\tMonitoringStatePartial MonitoringState = \"partial\" // Some metrics missing\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib@v0.11.0/schema/node.go:\tMonitoringStateFailed  MonitoringState = \"failed\"  // Metric collection failing\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260224192951-a6e23dd52e80/internal/graph/generated/generated.go:\t\t\tdata, err := ec.unmarshalOMonitoringState2ᚖstring(ctx, v)\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260224192951-a6e23dd52e80/internal/api/node.go:\t\thealthState := 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You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"9448fcb5-070e-429a-87ce-2589c3d4ace8","timestamp":"2026-03-18T10:17:07.630Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go","content":"// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/nodestats/ [post]\nfunc (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n\t// Parse request body\n\treq := UpdateNodeStatesRequest{}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n\t\t\thttp.StatusBadRequest, rw)\n\t\treturn\n\t}\n\trequestReceived := time.Now().Unix()\n\trepo := repository.GetNodeRepository()\n\n\tm := make(map[string][]string)\n\tmetricNames := make(map[string][]string)\n\thealthResults := make(map[string]metricstore.HealthCheckResult)\n\n\tstartMs := time.Now()\n\n\t// Step 1: Build nodeList and metricList per subcluster\n\tfor _, node := range req.Nodes {\n\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n\t\t\tm[sc] = append(m[sc], node.Hostname)\n\t\t}\n\t}\n\n\tfor sc := range m {\n\t\tif sc != \"\" {\n\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n\t\t\tmetricNames[sc] = metricListToNames(metricList)\n\t\t}\n\t}\n\n\t// Step 2: Determine which metric store to query and perform health check\n\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n\tif err != nil {\n\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n\t} else {\n\t\tfor sc, nl := range m {\n\t\t\tif sc != \"\" {\n\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n\t\t\t\t\tmaps.Copy(healthResults, results)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     healthState,\n\t\t\tHealthMetrics:   healthMetrics,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}","numLines":80,"startLine":71,"totalLines":158}},"sourceToolAssistantUUID":"f7f837dc-34c0-4133-87de-a35cda58acfe","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"020fd1ca-672d-4980-ada9-2ebe18ec52db","version":"2.1.78","gitBranch":"hotfix","slug":"glimmering-swimming-pie"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"fmt\"\n\t\"maps\"\n\t\"net/http\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\ntype UpdateNodeStatesRequest struct {\n\tNodes   []schema.NodePayload `json:\"nodes\"`\n\tCluster string               `json:\"cluster\" example:\"fritz\"`\n}\n\n// metricListToNames converts a map of metric configurations to a list of metric names\nfunc metricListToNames(metricList map[string]*schema.Metric) []string {\n\tnames := make([]string, 0, len(metricList))\n\tfor name := range metricList {\n\t\tnames = append(names, name)\n\t}\n\treturn names\n}\n\n// determineState resolves multiple states to a single state using priority order:\n// allocated > reserved > idle > down > mixed.\n// Exception: if both idle and down are present, down is returned.\nfunc determineState(states []string) schema.SchedulerState {\n\tstateSet := make(map[string]bool, len(states))\n\tfor _, s := range states {\n\t\tstateSet[strings.ToLower(s)] = true\n\t}\n\n\tswitch {\n\tcase stateSet[\"allocated\"]:\n\t\treturn schema.NodeStateAllocated\n\tcase stateSet[\"reserved\"]:\n\t\treturn schema.NodeStateReserved\n\tcase stateSet[\"idle\"] && stateSet[\"down\"]:\n\t\treturn schema.NodeStateDown\n\tcase stateSet[\"idle\"]:\n\t\treturn schema.NodeStateIdle\n\tcase stateSet[\"down\"]:\n\t\treturn schema.NodeStateDown\n\tcase stateSet[\"mixed\"]:\n\t\treturn schema.NodeStateMixed\n\t}\n\n\treturn schema.NodeStateUnknown\n}\n\n// updateNodeStates godoc\n// @summary     Deliver updated Slurm node states\n// @tags Nodestates\n// @description Returns a JSON-encoded list of users.\n// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n// @produce     json\n// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/nodestats/ [post]\nfunc (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n\t// Parse request body\n\treq := UpdateNodeStatesRequest{}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n\t\t\thttp.StatusBadRequest, rw)\n\t\treturn\n\t}\n\trequestReceived := time.Now().Unix()\n\trepo := repository.GetNodeRepository()\n\n\tm := make(map[string][]string)\n\tmetricNames := make(map[string][]string)\n\thealthResults := make(map[string]metricstore.HealthCheckResult)\n\n\tstartMs := time.Now()\n\n\t// Step 1: Build nodeList and metricList per subcluster\n\tfor _, node := range req.Nodes {\n\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n\t\t\tm[sc] = append(m[sc], node.Hostname)\n\t\t}\n\t}\n\n\tfor sc := range m {\n\t\tif sc != \"\" {\n\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n\t\t\tmetricNames[sc] = metricListToNames(metricList)\n\t\t}\n\t}\n\n\t// Step 2: Determine which metric store to query and perform health check\n\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n\tif err != nil {\n\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n\t} else {\n\t\tfor sc, nl := range m {\n\t\t\tif sc != \"\" {\n\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n\t\t\t\t\tmaps.Copy(healthResults, results)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     healthState,\n\t\t\tHealthMetrics:   healthMetrics,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n}\n","structuredPatch":[{"oldStart":86,"oldLines":14,"newStart":86,"newLines":23,"lines":["   requestReceived := time.Now().Unix()","   repo := repository.GetNodeRepository()"," ","+  // Step 1: Pre-compute node states; only include non-down nodes in health check","+  nodeStates := make(map[string]schema.SchedulerState, len(req.Nodes))","+  for _, node := range req.Nodes {","+    nodeStates[node.Hostname] = determineState(node.States)","+  }","+","   m := make(map[string][]string)","   metricNames := make(map[string][]string)","   healthResults := make(map[string]metricstore.HealthCheckResult)"," ","   startMs := time.Now()"," ","-  // Step 1: Build nodeList and metricList per subcluster","+  // Step 2: Build nodeList and metricList per subcluster, skipping down nodes","   for _, node := range req.Nodes {","+    if nodeStates[node.Hostname] == schema.NodeStateDown {","+      continue","+    }","     if sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {","       m[sc] = append(m[sc], node.Hostname)","     }"]},{"oldStart":106,"oldLines":7,"newStart":115,"newLines":7,"lines":["     }","   }"," ","-  // Step 2: Determine which metric store to query and perform health check","+  // Step 3: Determine which metric store to query and perform health check","   healthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)","   if err != nil {","     cclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)"]},{"oldStart":125,"oldLines":12,"newStart":134,"newLines":17,"lines":[" ","   updates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))","   for _, node := range req.Nodes {","-    state := determineState(node.States)","-    healthState := schema.MonitoringStateFailed","+    state := nodeStates[node.Hostname]","+    var healthState schema.MonitoringState","     var healthMetrics string","-    if result, ok := healthResults[node.Hostname]; ok {","-      healthState = result.State","-      healthMetrics = result.HealthMetrics","+    if state == schema.NodeStateDown {","+      healthState = schema.MonitoringStateFull","+    } else {","+      healthState = schema.MonitoringStateFailed","+      if result, ok := healthResults[node.Hostname]; 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+{"parentUuid":"eb038dae-f948-4805-b04b-a1c635612c35","isSidechain":false,"promptId":"c388b1a4-1e55-428c-a481-6277b385bb89","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011ZaUgjUgLE2aeruNXyWeF7","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"536299ee-cfbf-4169-ba01-bb4f9437bbd8","timestamp":"2026-03-18T10:17:29.311Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"\t// Build nodeList per subcluster for health check\n\tm := make(map[string][]string)\n\tmetricNames := make(map[string][]string)\n\thealthResults := make(map[string]metricstore.HealthCheckResult)\n\n\tfor _, node := range req.Nodes {\n\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n\t\t\tm[sc] = append(m[sc], node.Hostname)\n\t\t}\n\t}\n\n\tfor sc := range m {\n\t\tif sc != \"\" {\n\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n\t\t\tmetricNames[sc] = metricListToNames(metricList)\n\t\t}\n\t}\n\n\t// Perform health check against metric store\n\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n\tif err != nil {\n\t\tcclog.Warnf(\"NATS nodestate: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n\t} else {\n\t\tfor sc, nl := range m {\n\t\t\tif sc != \"\" {\n\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n\t\t\t\t\tmaps.Copy(healthResults, results)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}","newString":"\t// Pre-compute node states; only include non-down nodes in health check\n\tnodeStates := make(map[string]schema.SchedulerState, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tnodeStates[node.Hostname] = determineState(node.States)\n\t}\n\n\t// Build nodeList per subcluster for health check, skipping down nodes\n\tm := make(map[string][]string)\n\tmetricNames := make(map[string][]string)\n\thealthResults := make(map[string]metricstore.HealthCheckResult)\n\n\tfor _, node := range req.Nodes {\n\t\tif nodeStates[node.Hostname] == schema.NodeStateDown {\n\t\t\tcontinue\n\t\t}\n\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n\t\t\tm[sc] = append(m[sc], node.Hostname)\n\t\t}\n\t}\n\n\tfor sc := range m {\n\t\tif sc != \"\" {\n\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n\t\t\tmetricNames[sc] = metricListToNames(metricList)\n\t\t}\n\t}\n\n\t// Perform health check against metric store\n\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n\tif err != nil {\n\t\tcclog.Warnf(\"NATS nodestate: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n\t} else {\n\t\tfor sc, nl := range m {\n\t\t\tif sc != \"\" {\n\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n\t\t\t\t\tmaps.Copy(healthResults, results)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := nodeStates[node.Hostname]\n\t\tvar healthState schema.MonitoringState\n\t\tvar healthMetrics string\n\t\tif state == schema.NodeStateDown {\n\t\t\thealthState = schema.MonitoringStateFull\n\t\t} else {\n\t\t\thealthState = schema.MonitoringStateFailed\n\t\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\t\thealthState = result.State\n\t\t\t\thealthMetrics = result.HealthMetrics\n\t\t\t}\n\t\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"maps\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// natsMessage wraps a raw NATS message with its subject for channel-based processing.\ntype natsMessage struct {\n\tsubject string\n\tdata    []byte\n}\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobCh receives job event messages for processing by worker goroutines.\n\tjobCh chan natsMessage\n\t// nodeCh receives node state messages for processing by worker goroutines.\n\tnodeCh chan natsMessage\n}\n\n// NewNatsAPI creates a new NatsAPI instance with channel-based worker pools.\n// Concurrency is configured via NATSConfig (defaults: JobConcurrency=8, NodeConcurrency=2).\nfunc NewNatsAPI() *NatsAPI {\n\tjobConc := 8\n\tnodeConc := 2\n\n\tif s := config.Keys.APISubjects; s != nil {\n\t\tif s.JobConcurrency > 0 {\n\t\t\tjobConc = s.JobConcurrency\n\t\t}\n\t\tif s.NodeConcurrency > 0 {\n\t\t\tnodeConc = s.NodeConcurrency\n\t\t}\n\t}\n\n\tapi := &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobCh:         make(chan natsMessage, jobConc),\n\t\tnodeCh:        make(chan natsMessage, nodeConc),\n\t}\n\n\t// Start worker goroutines\n\tfor range jobConc {\n\t\tgo api.jobWorker()\n\t}\n\tfor range nodeConc {\n\t\tgo api.nodeWorker()\n\t}\n\n\treturn api\n}\n\n// jobWorker processes job event messages from the job channel.\nfunc (api *NatsAPI) jobWorker() {\n\tfor msg := range api.jobCh {\n\t\tapi.handleJobEvent(msg.subject, msg.data)\n\t}\n}\n\n// nodeWorker processes node state messages from the node channel.\nfunc (api *NatsAPI) nodeWorker() {\n\tfor msg := range api.nodeCh {\n\t\tapi.handleNodeState(msg.subject, msg.data)\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Messages are delivered to buffered channels and processed by worker goroutines.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, func(subject string, data []byte) {\n\t\t\tapi.jobCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, func(subject string, data []byte) {\n\t\t\tapi.nodeCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\t// Build nodeList per subcluster for health check\n\tm := make(map[string][]string)\n\tmetricNames := make(map[string][]string)\n\thealthResults := make(map[string]metricstore.HealthCheckResult)\n\n\tfor _, node := range req.Nodes {\n\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n\t\t\tm[sc] = append(m[sc], node.Hostname)\n\t\t}\n\t}\n\n\tfor sc := range m {\n\t\tif sc != \"\" {\n\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n\t\t\tmetricNames[sc] = metricListToNames(metricList)\n\t\t}\n\t}\n\n\t// Perform health check against metric store\n\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n\tif err != nil {\n\t\tcclog.Warnf(\"NATS nodestate: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n\t} else {\n\t\tfor sc, nl := range m {\n\t\t\tif sc != \"\" {\n\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n\t\t\t\t\tmaps.Copy(healthResults, results)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     healthState,\n\t\t\tHealthMetrics:   healthMetrics,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":402,"oldLines":12,"newStart":402,"newLines":21,"lines":["   repo := repository.GetNodeRepository()","   requestReceived := time.Now().Unix()"," ","-  // Build nodeList per subcluster for health check","+  // Pre-compute node states; only include non-down nodes in health check","+  nodeStates := make(map[string]schema.SchedulerState, len(req.Nodes))","+  for _, node := range req.Nodes {","+    nodeStates[node.Hostname] = determineState(node.States)","+  }","+","+  // Build nodeList per subcluster for health check, skipping down nodes","   m := make(map[string][]string)","   metricNames := make(map[string][]string)","   healthResults := make(map[string]metricstore.HealthCheckResult)"," ","   for _, node := range req.Nodes {","+    if nodeStates[node.Hostname] == schema.NodeStateDown {","+      continue","+    }","     if sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {","       m[sc] = append(m[sc], node.Hostname)","     }"]},{"oldStart":436,"oldLines":12,"newStart":445,"newLines":17,"lines":[" ","   updates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))","   for _, node := range req.Nodes {","-    state := determineState(node.States)","-    healthState := schema.MonitoringStateFailed","+    state := nodeStates[node.Hostname]","+    var healthState schema.MonitoringState","     var healthMetrics string","-    if result, ok := healthResults[node.Hostname]; ok {","-      healthState = result.State","-      healthMetrics = result.HealthMetrics","+    if state == schema.NodeStateDown {","+      healthState = schema.MonitoringStateFull","+    } else {","+      healthState = schema.MonitoringStateFailed","+      if result, ok := healthResults[node.Hostname]; ok {","+        healthState = result.State","+        healthMetrics = result.HealthMetrics","+      }","     }","     nodeState := schema.NodeStateDB{","       TimeStamp:       requestReceived,"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"eb038dae-f948-4805-b04b-a1c635612c35","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"020fd1ca-672d-4980-ada9-2ebe18ec52db","version":"2.1.78","gitBranch":"hotfix","slug":"glimmering-swimming-pie"}
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diff --git a/0c/3347168c79/0/metadata.json b/0c/3347168c79/0/metadata.json
new file mode 100644
index 00000000..7700a939
--- /dev/null
+++ b/0c/3347168c79/0/metadata.json
@@ -0,0 +1,37 @@
+{
+  "cli_version": "0.5.0",
+  "checkpoint_id": "0c3347168c79",
+  "session_id": "020fd1ca-672d-4980-ada9-2ebe18ec52db",
+  "strategy": "manual-commit",
+  "created_at": "2026-03-18T10:20:10.589047Z",
+  "branch": "hotfix",
+  "checkpoints_count": 2,
+  "files_touched": [
+    "internal/api/nats.go",
+    "internal/api/node.go"
+  ],
+  "agent": "Claude Code",
+  "model": "claude-opus-4-6",
+  "turn_id": "ff65efca2408",
+  "checkpoint_transcript_start": 19,
+  "transcript_lines_at_start": 19,
+  "token_usage": {
+    "input_tokens": 16,
+    "cache_creation_tokens": 11502,
+    "cache_read_tokens": 329105,
+    "output_tokens": 5712,
+    "api_call_count": 12
+  },
+  "session_metrics": {
+    "turn_count": 3
+  },
+  "initial_attribution": {
+    "calculated_at": "2026-03-18T10:20:10.531825Z",
+    "agent_lines": 44,
+    "human_added": 0,
+    "human_modified": 0,
+    "human_removed": 0,
+    "total_committed": 44,
+    "agent_percentage": 100
+  }
+}
diff --git a/0c/3347168c79/0/prompt.txt b/0c/3347168c79/0/prompt.txt
new file mode 100644
index 00000000..414eaf0a
--- /dev/null
+++ b/0c/3347168c79/0/prompt.txt
@@ -0,0 +1,5 @@
+Correction: If a node is idle + down then mark it as down
+
+---
+
+Change for both the REST and NATS API that the healthstate update is only performed if a node is not in down state. Do mark those nodes as healthy
\ No newline at end of file
diff --git a/0c/3347168c79/metadata.json b/0c/3347168c79/metadata.json
new file mode 100644
index 00000000..ad1d8782
--- /dev/null
+++ b/0c/3347168c79/metadata.json
@@ -0,0 +1,26 @@
+{
+  "cli_version": "0.5.0",
+  "checkpoint_id": "0c3347168c79",
+  "strategy": "manual-commit",
+  "branch": "hotfix",
+  "checkpoints_count": 2,
+  "files_touched": [
+    "internal/api/nats.go",
+    "internal/api/node.go"
+  ],
+  "sessions": [
+    {
+      "metadata": "/0c/3347168c79/0/metadata.json",
+      "transcript": "/0c/3347168c79/0/full.jsonl",
+      "content_hash": "/0c/3347168c79/0/content_hash.txt",
+      "prompt": "/0c/3347168c79/0/prompt.txt"
+    }
+  ],
+  "token_usage": {
+    "input_tokens": 16,
+    "cache_creation_tokens": 11502,
+    "cache_read_tokens": 329105,
+    "output_tokens": 5712,
+    "api_call_count": 12
+  }
+}
diff --git a/17/cdf997acff/0/content_hash.txt b/17/cdf997acff/0/content_hash.txt
new file mode 100644
index 00000000..bf5874e4
--- /dev/null
+++ b/17/cdf997acff/0/content_hash.txt
@@ -0,0 +1 @@
+sha256:88c25baaa9b962085812badf7ff60c5c411d55a5b31f9f19c21de8062e94edf8
\ No newline at end of file
diff --git a/17/cdf997acff/0/full.jsonl b/17/cdf997acff/0/full.jsonl
new file mode 100644
index 00000000..7d017347
--- /dev/null
+++ b/17/cdf997acff/0/full.jsonl
@@ -0,0 +1,35 @@
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n//   - Overall (JobsStats): Single aggregate across all matching jobs\n//   - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n//   - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n//   - Duration, nodes, cores, accelerators (AddHistograms)\n//   - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n//   - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n//   - Resources: Natural value-based bins\n//   - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n//   - Duration calculated as (now - start_time) for running jobs\n//   - Metric histograms for running jobs load data from metric backend instead of footprint\n//   - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"golang.org/x/sync/errgroup\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser:       \"job.hpc_user\",\n\tmodel.AggregateProject:    \"job.project\",\n\tmodel.AggregateCluster:    \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs:      \"totalJobs\",\n\tmodel.SortByAggregateTotalusers:     \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime:  \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes:     \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores:     \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs:      \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours:  \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n//   - filter: Job filters to apply (cluster, user, time range, etc.)\n//   - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n//   - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n//   - Single count: COUNT(job.id) when col is empty\n//   - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n//   - \"running\": Only jobs with job_state = 'running'\n//   - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n//   - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(*)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(*)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = 'running'\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n// Only requested columns are computed; unrequested columns select 0 as placeholder.\n//\n// Parameters:\n//   - filter: Job filters to apply (cluster, user, time range, etc.)\n//   - col: Column name to GROUP BY; empty string for overall statistics without grouping\n//   - shortThreshold: Duration threshold in seconds for counting short-running jobs\n//   - reqFields: Set of requested field names; nil means compute all fields\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n\tshortThreshold int,\n\treqFields map[string]bool,\n) sq.SelectBuilder {\n\tnow := time.Now().Unix()\n\n\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n\tneed := func(field string) bool {\n\t\treturn reqFields == nil || reqFields[field]\n\t}\n\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n\n\t// Build column list\n\tcolumns := make([]string, 0, 14)\n\n\tif col != \"\" {\n\t\tcolumns = append(columns, col)\n\t}\n\n\tcolumns = append(columns, \"COUNT(*) as totalJobs\")\n\n\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n\t} else {\n\t\tcolumns = append(columns, \"0 AS totalUsers\")\n\t}\n\n\tif need(\"totalWalltime\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalWalltime\")\n\t}\n\n\tif need(\"totalNodes\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalNodes\")\n\t}\n\n\tif need(\"totalNodeHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n\t}\n\n\tif need(\"totalCores\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalCores\")\n\t}\n\n\tif need(\"totalCoreHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n\t}\n\n\tif need(\"totalAccs\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalAccs\")\n\t}\n\n\tif need(\"totalAccHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalAccHours\")\n\t}\n\n\tif need(\"runningJobs\") {\n\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as runningJobs\")\n\t}\n\n\tif need(\"shortJobs\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n\t} else {\n\t\tcolumns = append(columns, \"0 as shortJobs\")\n\t}\n\n\tquery := sq.Select(columns...).From(\"job\")\n\tif col != \"\" {\n\t\tquery = query.GroupBy(col)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n\treqFields map[string]bool,\n) ([]*model.JobsStatistics, error) {\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID:             id.String,\n\t\t\t\t\tTotalJobs:      int(jobs.Int64),\n\t\t\t\t\tTotalUsers:     int(users.Int64),\n\t\t\t\t\tTotalWalltime:  int(walltime.Int64),\n\t\t\t\t\tTotalNodes:     int(nodes.Int64),\n\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n\t\t\t\t\tTotalCores:     int(cores.Int64),\n\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n\t\t\t\t\tTotalAccs:      int(accs.Int64),\n\t\t\t\t\tTotalAccHours:  int(accHours.Int64),\n\t\t\t\t\tRunningJobs:    int(runningJobs.Int64),\n\t\t\t\t\tShortJobs:      int(shortJobs.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n\tif col == \"job.hpc_user\" && len(stats) > 0 {\n\t\tusernames := make([]any, len(stats))\n\t\tfor i, s := range stats {\n\t\t\tusernames[i] = s.ID\n\t\t}\n\n\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n\t\t\t// Non-fatal: stats are still valid without display names\n\t\t} else {\n\t\t\tdefer nameRows.Close()\n\t\t\tnameMap := make(map[string]string, len(stats))\n\t\t\tfor nameRows.Next() {\n\t\t\t\tvar username, name string\n\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n\t\t\t\t\tnameMap[username] = name\n\t\t\t\t}\n\t\t\t}\n\t\t\tfor _, s := range stats {\n\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n\t\t\t\t\ts.Name = name\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n//   - ctx: Context for security checks and cancellation\n//   - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n//   - totalJobs, totalUsers, totalWalltime\n//   - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\treqFields map[string]bool,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs:      int(jobs.Int64),\n\t\t\t\tTotalUsers:     int(users.Int64),\n\t\t\t\tTotalWalltime:  int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours:  totalAccHours,\n\t\t\t\tRunningJobs:    int(runningJobs.Int64),\n\t\t\t\tShortJobs:      int(shortJobs.Int64),\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n//   - job: Job struct with populated Statistics field\n//   - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n//   - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n//   - ctx: Context for security checks\n//   - filter: Filters to apply\n//   - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID:        id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n//   - ctx: Context for security checks\n//   - filter: Filters to apply\n//   - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n//   - stats: Existing statistics to augment (modified in-place by ID matching)\n//   - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n//   - ctx: Context for security checks\n//   - filter: Filters to apply\n//   - stats: Existing statistics to augment (modified in-place)\n//   - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n//   - ctx: Context for security checks\n//   - filter: Filters to apply to jobs included in histograms\n//   - stat: Statistics struct to augment (modified in-place)\n//   - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n//   - HistDuration: Job duration distribution (zero-padded bins)\n//   - HistNumNodes: Node count distribution\n//   - HistNumCores: Core (hwthread) count distribution\n//   - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\t// Run all 4 histogram queries in parallel — each writes a distinct struct field.\n\tg, gctx := errgroup.WithContext(ctx)\n\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(gctx, value, filter, targetBinSize, &targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\t}\n\t\treturn err\n\t})\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(gctx, \"job.num_nodes as value\", filter)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\t}\n\t\treturn err\n\t})\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistNumCores, err = r.jobsStatisticsHistogram(gctx, \"job.num_hwthreads as value\", filter)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\t}\n\t\treturn err\n\t})\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(gctx, \"job.num_acc as value\", filter)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\t}\n\t\treturn err\n\t})\n\n\tif err := g.Wait(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n//   - ctx: Context for security checks\n//   - filter: Filters to apply (MUST contain State filter for running jobs)\n//   - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n//   - stat: Statistics struct to augment (modified in-place)\n//   - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n//   - Values normalized to metric's peak value from cluster configuration\n//   - Bins evenly distributed from 0 to peak\n//   - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n//   - Running jobs: Limited to 5000 jobs for performance\n//   - Requires valid cluster configuration with metric peak values\n//   - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n//   - value: SQL expression that produces the histogram value, aliased as \"value\"\n//   - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n//   - value: SQL expression computing bin number from duration, aliased as \"value\"\n//   - filters: Job filters to apply\n//   - binSizeSeconds: Width of each bin in seconds\n//   - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n//  1. Pre-initialize targetBinCount bins with zero counts\n//  2. Query database for actual counts per bin\n//  3. Match query results to pre-initialized bins by value\n//  4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tbinMap[p.Value] = i\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins using map lookup.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n\t\t\tpoints[idx].Count = point.Count\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n//\n// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n// and computing bin assignments in SQL.\n//\n// Parameters:\n//   - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n//   - filters: Job filters to apply\n//   - bins: Number of bins to generate\n//\n// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n//\n// Algorithm:\n//  1. Determine peak value from cluster configuration (filtered cluster or max across all)\n//  2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n//  3. Pre-initialize bins with min/max ranges based on peak value\n//  4. Query database for counts per bin\n//  5. Match results to pre-initialized bins\n//\n// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n// peak by 0.999999999 to avoid creating an extra bin.\nfunc (r *JobRepository) jobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetric string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) (*model.MetricHistoPoints, error) {\n\t// Peak value defines the upper bound for binning: values are distributed across\n\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n\t// scan all clusters to find the maximum peak value.\n\tvar metricConfig *schema.MetricConfig\n\tvar peak float64\n\tvar unit string\n\tvar footprintStat string\n\n\t// Try to get metric config from filtered cluster\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\tpeak = metricConfig.Peak\n\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\tfootprintStat = metricConfig.Footprint\n\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n\t\t}\n\t}\n\n\t// If no cluster filter or peak not found, find largest peak across all clusters\n\t// This ensures histogram can accommodate all possible values\n\tif peak == 0.0 {\n\t\tfor _, c := range archive.Clusters {\n\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\tif m.Name == metric {\n\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t}\n\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t}\n\t\t\t\t\tif footprintStat == \"\" {\n\t\t\t\t\t\tfootprintStat = m.Footprint\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Construct SQL histogram bins using normalized values.\n\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n\tstart := time.Now()\n\n\t// Bin calculation formula:\n\t//   bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n\t// Special case: value == peak would create bin N+1, so we test for equality\n\t// and multiply peak by 0.999999999 to force it into bin N.\n\tbinQuery := fmt.Sprintf(`CAST(\n\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n\t\t* %v as INTEGER )`,\n\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n\n\tmainQuery := sq.Select(\n\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n\t\t`count(*) as count`,\n\t).From(\"job\").Where(\n\t\t\"JSON_VALID(footprint)\",\n\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n\n\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tmainQuery = BuildWhereClause(f, mainQuery)\n\t}\n\n\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n\n\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tidx := i\n\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Build a map from bin number to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tif p.Bin != nil {\n\t\t\tbinMap[*p.Bin] = i\n\t\t}\n\t}\n\n\t// Match query results to pre-initialized bins using map lookup.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rpoint.Bin != nil {\n\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n\t\t\t\tpoints[idx].Count = rpoint.Count\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}\n\n// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n//\n// Unlike completed jobs which use footprint data from the database, running jobs require\n// fetching current metric averages from the metric backend (via metricdispatch).\n//\n// Parameters:\n//   - metrics: List of metric names\n//   - filters: Job filters (should filter to running jobs only)\n//   - bins: Number of histogram bins\n//\n// Returns slice of MetricHistoPoints, one per metric.\n//\n// Limitations:\n//   - Maximum 5000 jobs (returns nil if more jobs match)\n//   - Requires metric backend availability\n//   - Bins based on metric peak values from cluster configuration\n//\n// Algorithm:\n//  1. Query first 5001 jobs to check count limit\n//  2. Load metric averages for all jobs via metricdispatch\n//  3. For each metric, create bins based on peak value\n//  4. Iterate averages and count jobs per bin\nfunc (r *JobRepository) runningJobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetrics []string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) []*model.MetricHistoPoints {\n\t// Get Jobs\n\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n\t\treturn nil\n\t}\n\tif len(jobs) > 5000 {\n\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n\t\treturn nil\n\t}\n\n\t// Get AVGs from metric repo\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n\t\t\treturn nil\n\t\t}\n\t}\n\n\t// Iterate metrics to fill endresult\n\tdata := make([]*model.MetricHistoPoints, 0)\n\tfor idx, metric := range metrics {\n\t\t// Get specific Peak or largest Peak\n\t\tvar metricConfig *schema.MetricConfig\n\t\tvar peak float64\n\t\tvar unit string\n\n\t\tfor _, f := range filters {\n\t\t\tif f.Cluster != nil {\n\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\t\tpeak = metricConfig.Peak\n\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\t}\n\t\t}\n\n\t\tif peak == 0.0 {\n\t\t\tfor _, c := range archive.Clusters {\n\t\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\t\tif m.Name == metric {\n\t\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Make and fill bins\n\t\tpeakBin := int(peak) / *bins\n\n\t\tpoints := make([]*model.MetricHistoPoint, 0)\n\t\tfor b := 0; b < *bins; b++ {\n\t\t\tcount := 0\n\t\t\tbindex := b + 1\n\t\t\tbmin := peakBin * b\n\t\t\tbmax := peakBin * (b + 1)\n\n\t\t\t// Iterate AVG values for indexed metric and count for bins\n\t\t\tfor _, val := range avgs[idx] {\n\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n\t\t\t\t\tcount += 1\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Append Bin to Metric Result Array\n\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n\t\t\tpoints = append(points, &point)\n\t\t}\n\n\t\t// Append Metric Result Array to final results array\n\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n\t\tdata = append(data, &result)\n\t}\n\n\treturn data\n}\n","structuredPatch":[{"oldStart":360,"oldLines":7,"newStart":360,"newLines":7,"lines":[" ","   var jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64","   if err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {","-    cclog.Warn(\"Error while scanning rows\")","+    cclog.Warnf(\"Error scanning job statistics row: %v\", err)","     return nil, err","   }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"81df65e2-1ff7-4289-ae50-143a949138bb","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"50633cd8-2ab8-4107-9a64-7f258725f2c3","version":"2.1.78","gitBranch":"hotfix","slug":"eventual-meandering-frog"}
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+{"parentUuid":"f5557cf4-4494-4c7e-bdeb-80b2ab37c0e2","isSidechain":false,"promptId":"0be7b781-e914-4948-9577-6a6a0c7e6920","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011XWu5emf1AjAKUKyk4QguE","type":"tool_result","content":"   280→- `event`: JSON payload containing job data (see REST API documentation for schema)\n   281→\n   282→#### Node State Updates\n   283→\n   284→```json\n   285→{\n   286→  \"cluster\": \"testcluster\",\n   287→  \"nodes\": [\n   288→    {\n   289→      \"hostname\": \"node001\",\n   290→      \"states\": [\"allocated\"],\n   291→      \"cpusAllocated\": 8,\n   292→      \"memoryAllocated\": 16384,\n   293→      \"gpusAllocated\": 0,\n   294→      \"jobsRunning\": 1\n   295→    }\n   296→  ]\n   297→}\n   298→```\n   299→\n   300→### Implementation Notes\n   301→\n   302→- NATS API mirrors REST API functionality but uses messaging\n   303→- Job start/stop events are processed asynchronously via configurable worker pools\n   304→- Duplicate job detection is handled (same as REST API)\n   305→- All validation rules from REST API apply\n   306→- Node state updates include health checks against the metric store (identical to REST handler): nodes are grouped by subcluster, metric configurations are fetched, and `HealthCheck()` is called per subcluster. Nodes default to `MonitoringStateFailed` if no health data is available.\n   307→- Messages are logged; no responses are sent back to publishers\n   308→- If NATS client is unavailable, API subscriptions are skipped (logged as warning)\n   309→\n   310→## Dependencies\n   311→\n   312→- Go 1.24.0+ (check go.mod for exact version)\n   313→- Node.js (for frontend builds)\n   314→- SQLite 3 (only supported database)\n   315→- Optional: NATS server for NATS API integration\n   316→"}]},"uuid":"9c423e6c-c794-4ad0-a770-7a080c16aa8e","timestamp":"2026-03-18T09:03:46.781Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/CLAUDE.md","content":"- `event`: JSON payload containing job data (see REST API documentation for schema)\n\n#### Node State Updates\n\n```json\n{\n  \"cluster\": \"testcluster\",\n  \"nodes\": [\n    {\n      \"hostname\": \"node001\",\n      \"states\": [\"allocated\"],\n      \"cpusAllocated\": 8,\n      \"memoryAllocated\": 16384,\n      \"gpusAllocated\": 0,\n      \"jobsRunning\": 1\n    }\n  ]\n}\n```\n\n### Implementation Notes\n\n- NATS API mirrors REST API functionality but uses messaging\n- Job start/stop events are processed asynchronously via configurable worker pools\n- Duplicate job detection is handled (same as REST API)\n- All validation rules from REST API apply\n- Node state updates include health checks against the metric store (identical to REST handler): nodes are grouped by subcluster, metric configurations are fetched, and `HealthCheck()` is called per subcluster. Nodes default to `MonitoringStateFailed` if no health data is available.\n- Messages are logged; no responses are sent back to publishers\n- If NATS client is unavailable, API subscriptions are skipped (logged as warning)\n\n## Dependencies\n\n- Go 1.24.0+ (check go.mod for exact version)\n- Node.js (for frontend builds)\n- SQLite 3 (only supported database)\n- Optional: NATS server for NATS API integration\n","numLines":37,"startLine":280,"totalLines":316}},"sourceToolAssistantUUID":"f5557cf4-4494-4c7e-bdeb-80b2ab37c0e2","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"50633cd8-2ab8-4107-9a64-7f258725f2c3","version":"2.1.78","gitBranch":"hotfix","slug":"eventual-meandering-frog"}
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This is a Golang backend that provides REST and GraphQL APIs, serves a\nSvelte-based frontend, and manages job archives and metric data from various\ntime-series databases.\n\n## Build and Development Commands\n\n### Building\n\n```bash\n# Build everything (frontend + backend)\nmake\n\n# Build only the frontend\nmake frontend\n\n# Build only the backend (requires frontend to be built first)\ngo build -ldflags='-s -X main.date=$(date +\"%Y-%m-%d:T%H:%M:%S\") -X main.version=1.5.0 -X main.commit=$(git rev-parse --short HEAD)' ./cmd/cc-backend\n```\n\n### Testing\n\n```bash\n# Run all tests\nmake test\n\n# Run tests with verbose output\ngo test -v ./...\n\n# Run tests for a specific package\ngo test ./internal/repository\n```\n\n### Code Generation\n\n```bash\n# Regenerate GraphQL schema and resolvers (after modifying api/schema.graphqls)\nmake graphql\n\n# Regenerate Swagger/OpenAPI docs (after modifying API comments)\nmake swagger\n```\n\n### Frontend Development\n\n```bash\ncd web/frontend\n\n# Install dependencies\nnpm install\n\n# Build for production\nnpm run build\n\n# Development mode with watch\nnpm run dev\n```\n\n### Running\n\n```bash\n# Initialize database and create admin user\n./cc-backend -init-db -add-user demo:admin:demo\n\n# Start server in development mode (enables GraphQL Playground and Swagger UI)\n./cc-backend -server -dev -loglevel info\n\n# Start demo with sample data\n./startDemo.sh\n```\n\n## Architecture\n\n### Backend Structure\n\nThe backend follows a layered architecture with clear separation of concerns:\n\n- **cmd/cc-backend**: Entry point, orchestrates initialization of all subsystems\n- **internal/repository**: Data access layer using repository pattern\n  - Abstracts database operations (SQLite3 only)\n  - Implements LRU caching for performance\n  - Provides repositories for Job, User, Node, and Tag entities\n  - Transaction support for batch operations\n- **internal/api**: REST API endpoints (Swagger/OpenAPI documented)\n- **internal/graph**: GraphQL API (uses gqlgen)\n  - Schema in `api/schema.graphqls`\n  - Generated code in `internal/graph/generated/`\n  - Resolvers in `internal/graph/schema.resolvers.go`\n- **internal/auth**: Authentication layer\n  - Supports local accounts, LDAP, OIDC, and JWT tokens\n  - Implements rate limiting for login attempts\n- **pkg/metricstore**: Metric store with data loading API\n  - In-memory metric storage with checkpointing\n  - Query API for loading job metric data\n- **internal/archiver**: Job archiving to file-based archive\n- **internal/api/nats.go**: NATS-based API for job and node operations\n  - Subscribes to NATS subjects for job events (start/stop)\n  - Handles node state updates via NATS\n  - Uses InfluxDB line protocol message format\n- **pkg/archive**: Job archive backend implementations\n  - File system backend (default)\n  - S3 backend\n  - SQLite backend (experimental)\n  - **parquet** sub-package: Parquet format support (schema, reader, writer, conversion)\n- **internal/metricstoreclient**: Client for cc-metric-store queries\n\n### Frontend Structure\n\n- **web/frontend**: Svelte 5 application\n  - Uses Rollup for building\n  - Components organized by feature (analysis, job, user, etc.)\n  - GraphQL client using @urql/svelte\n  - Bootstrap 5 + SvelteStrap for UI\n  - uPlot for time-series visualization\n- **web/templates**: Server-side Go templates\n\n### Key Concepts\n\n**Job Archive**: Completed jobs are stored in a file-based archive following the\n[ClusterCockpit job-archive\nspecification](https://github.com/ClusterCockpit/cc-specifications/tree/master/job-archive).\nEach job has a `meta.json` file with metadata and metric data files.\n\n**Metric Data Repositories**: Time-series metric data is stored separately from\njob metadata. The system supports multiple backends (cc-metric-store is\nrecommended). Configuration is per-cluster in `config.json`.\n\n**Authentication Flow**:\n\n1. Multiple authenticators can be configured (local, LDAP, OIDC, JWT)\n2. Each authenticator's `CanLogin` method is called to determine if it should handle the request\n3. The first authenticator that returns true performs the actual `Login`\n4. JWT tokens are used for API authentication\n\n**Database Migrations**: SQL migrations in `internal/repository/migrations/sqlite3/` are\napplied automatically on startup. Version tracking in `version` table.\n\n**Scopes**: Metrics can be collected at different scopes:\n\n- Node scope (always available)\n- Core scope (for jobs with ≤8 nodes)\n- Accelerator scope (for GPU/accelerator metrics)\n\n## Configuration\n\n- **config.json**: Main configuration (clusters, metric repositories, archive settings)\n  - `main.api-subjects`: NATS subject configuration (optional)\n    - `subject-job-event`: Subject for job start/stop events (e.g., \"cc.job.event\")\n    - `subject-node-state`: Subject for node state updates (e.g., \"cc.node.state\")\n    - `job-concurrency`: Worker goroutines for job events (default: 8)\n    - `node-concurrency`: Worker goroutines for node state events (default: 2)\n  - `nats`: NATS client connection configuration (optional)\n    - `address`: NATS server address (e.g., \"nats://localhost:4222\")\n    - `username`: Authentication username (optional)\n    - `password`: Authentication password (optional)\n    - `creds-file-path`: Path to NATS credentials file (optional)\n- **.env**: Environment variables (secrets like JWT keys)\n  - Copy from `configs/env-template.txt`\n  - NEVER commit this file\n- **cluster.json**: Cluster topology and metric definitions (loaded from archive or config)\n\n## Database\n\n- Default: SQLite 3 (`./var/job.db`)\n- Connection managed by `internal/repository`\n- Schema version in `internal/repository/migration.go`\n\n## Code Generation\n\n**GraphQL** (gqlgen):\n\n- Schema: `api/schema.graphqls`\n- Config: `gqlgen.yml`\n- Generated code: `internal/graph/generated/`\n- Custom resolvers: `internal/graph/schema.resolvers.go`\n- Run `make graphql` after schema changes\n\n**Swagger/OpenAPI**:\n\n- Annotations in `internal/api/*.go`\n- Generated docs: `internal/api/docs.go`, `api/swagger.yaml`\n- Run `make swagger` after API changes\n\n## Testing Conventions\n\n- Test files use `_test.go` suffix\n- Test data in `testdata/` subdirectories\n- Repository tests use in-memory SQLite\n- API tests use httptest\n\n## Common Workflows\n\n### Adding a new GraphQL field\n\n1. Edit schema in `api/schema.graphqls`\n2. Run `make graphql`\n3. Implement resolver in `internal/graph/schema.resolvers.go`\n\n### Adding a new REST endpoint\n\n1. Add handler in `internal/api/*.go`\n2. Add route in `internal/api/rest.go`\n3. Add Swagger annotations\n4. Run `make swagger`\n\n### Adding a new metric data backend\n\n1. Implement metric loading functions in `pkg/metricstore/query.go`\n2. Add cluster configuration to metric store initialization\n3. Update config.json schema documentation\n\n### Modifying database schema\n\n1. Create new migration in `internal/repository/migrations/sqlite3/`\n2. Increment `repository.Version`\n3. Test with fresh database and existing database\n\n## NATS API\n\nThe backend supports a NATS-based API as an alternative to the REST API for job and node operations.\n\n### Setup\n\n1. Configure NATS client connection in `config.json`:\n   ```json\n   {\n     \"nats\": {\n       \"address\": \"nats://localhost:4222\",\n       \"username\": \"user\",\n       \"password\": \"pass\"\n     }\n   }\n   ```\n\n2. Configure API subjects in `config.json` under `main`:\n   ```json\n   {\n     \"main\": {\n       \"api-subjects\": {\n         \"subject-job-event\": \"cc.job.event\",\n         \"subject-node-state\": \"cc.node.state\",\n         \"job-concurrency\": 8,\n         \"node-concurrency\": 2\n       }\n     }\n   }\n   ```\n   - `subject-job-event` (required): NATS subject for job start/stop events\n   - `subject-node-state` (required): NATS subject for node state updates\n   - `job-concurrency` (optional, default: 8): Number of concurrent worker goroutines for job events\n   - `node-concurrency` (optional, default: 2): Number of concurrent worker goroutines for node state events\n\n### Message Format\n\nMessages use **InfluxDB line protocol** format with the following structure:\n\n#### Job Events\n\n**Start Job:**\n```\njob,function=start_job event=\"{\\\"jobId\\\":123,\\\"user\\\":\\\"alice\\\",\\\"cluster\\\":\\\"test\\\", ...}\" 1234567890000000000\n```\n\n**Stop Job:**\n```\njob,function=stop_job event=\"{\\\"jobId\\\":123,\\\"cluster\\\":\\\"test\\\",\\\"startTime\\\":1234567890,\\\"stopTime\\\":1234571490,\\\"jobState\\\":\\\"completed\\\"}\" 1234571490000000000\n```\n\n**Tags:**\n- `function`: Either `start_job` or `stop_job`\n\n**Fields:**\n- `event`: JSON payload containing job data (see REST API documentation for schema)\n\n#### Node State Updates\n\n```json\n{\n  \"cluster\": \"testcluster\",\n  \"nodes\": [\n    {\n      \"hostname\": \"node001\",\n      \"states\": [\"allocated\"],\n      \"cpusAllocated\": 8,\n      \"memoryAllocated\": 16384,\n      \"gpusAllocated\": 0,\n      \"jobsRunning\": 1\n    }\n  ]\n}\n```\n\n### Implementation Notes\n\n- NATS API mirrors REST API functionality but uses messaging\n- Job start/stop events are processed asynchronously via configurable worker pools\n- Duplicate job detection is handled (same as REST API)\n- All validation rules from REST API apply\n- Node state updates include health checks against the metric store (identical to REST handler): nodes are grouped by subcluster, metric configurations are fetched, and `HealthCheck()` is called per subcluster. Nodes default to `MonitoringStateFailed` if no health data is available.\n- Messages are logged; no responses are sent back to publishers\n- If NATS client is unavailable, API subscriptions are skipped (logged as warning)\n\n## Dependencies\n\n- Go 1.24.0+ (check go.mod for exact version)\n- Node.js (for frontend builds)\n- SQLite 3 (only supported database)\n- Optional: NATS server for NATS API integration\n","structuredPatch":[{"oldStart":307,"oldLines":6,"newStart":307,"newLines":28,"lines":[" - Messages are logged; no responses are sent back to publishers"," - If NATS client is unavailable, API subscriptions are skipped (logged as warning)"," ","+## Development Guidelines","+","+### Performance","+","+This application processes large volumes of HPC monitoring data (metrics, job","+records, archives) at scale. All code changes must prioritize maximum throughput","+and minimal latency. Avoid unnecessary allocations, prefer streaming over","+buffering, and be mindful of lock contention. When in doubt, benchmark.","+","+### Change Impact Analysis","+","+For any significant change, you MUST:","+","+1. **Check all call paths**: Trace every caller of modified functions to ensure","+   correctness is preserved throughout the call chain.","+2. **Evaluate side effects**: Identify and verify all side effects — database","+   writes, cache invalidations, channel sends, goroutine lifecycle changes, file","+   I/O, and external API calls.","+3. **Consider concurrency implications**: This codebase uses goroutines and","+   channels extensively. 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+    "api_call_count": 4
+  },
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+  },
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diff --git a/17/cdf997acff/0/prompt.txt b/17/cdf997acff/0/prompt.txt
new file mode 100644
index 00000000..69699101
--- /dev/null
+++ b/17/cdf997acff/0/prompt.txt
@@ -0,0 +1 @@
+Extend CLAUDE.md and add remarks that on any significant change als o sideeffects and all call paths have to be checked. Also add that this is an application that deals with large amounts of data and should focus on maximum throughput.
\ No newline at end of file
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new file mode 100644
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+sha256:9afbd2231cd2de94d00602cda5fece31185c1a0c488b63391fed94963950b039
\ No newline at end of file
diff --git a/20/746187d135/0/context.md b/20/746187d135/0/context.md
new file mode 100644
index 00000000..bd62cb32
--- /dev/null
+++ b/20/746187d135/0/context.md
@@ -0,0 +1,17 @@
+# Session Context
+
+## User Prompts
+
+### Prompt 1
+
+Implement the following plan:
+
+# Plan: Improve GetUser logging
+
+## Context
+
+`GetUser` in `internal/repository/user.go` (line 75) logs a `Warn` for every query error, including the common `sql.ErrNoRows` case (user not found). Two problems:
+
+1. `sql.ErrNoRows` is a normal, expected condition — many callers check for it explicitly. It should not produce a warning.
+2. The log message **omits the actual error**: `"Error while querying user '%v' from database"` gives no clue what went wrong for re...
+
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new file mode 100644
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+{"parentUuid":"218ef109-ae6a-464b-83c4-e53227c0722e","isSidechain":false,"promptId":"04ac757c-e21e-4aa4-9121-fb278bd10e02","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Plan: Improve GetUser logging\n\n## Context\n\n`GetUser` in `internal/repository/user.go` (line 75) logs a `Warn` for every query error, including the common `sql.ErrNoRows` case (user not found). Two problems:\n\n1. `sql.ErrNoRows` is a normal, expected condition — many callers check for it explicitly. It should not produce a warning.\n2. The log message **omits the actual error**: `\"Error while querying user '%v' from database\"` gives no clue what went wrong for real failures.\n\nThis is the same pattern just fixed in `scanJob` (job.go). The established approach: suppress `sql.ErrNoRows`, add `runtime.Caller(1)` context and include `err` in real-error logs.\n\n## Approach\n\nModify the `Scan` error block in `GetUser` (`internal/repository/user.go`, lines 75-79):\n\n```go\nif err := sq.Select(...).QueryRow().Scan(...); err != nil {\n    if err != sql.ErrNoRows {\n        _, file, line, _ := runtime.Caller(1)\n        cclog.Warnf(\"Error while querying user '%v' from database (%s:%d): %v\",\n            username, filepath.Base(file), line, err)\n    }\n    return nil, err\n}\n```\n\nAdd `\"path/filepath\"` and `\"runtime\"` to imports (not currently present in user.go).\n\n## Critical File\n\n- `internal/repository/user.go` — only file to change (lines ~7-24 for imports, ~75-79 for error block)\n\n## Verification\n\n1. `go build ./...` — must compile cleanly\n2. `go test ./internal/repository/...` — existing tests must pass\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-CC-cc-backend/7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd.jsonl"},"uuid":"7fbf4291-37f3-41e7-80e6-5c696ecb5872","timestamp":"2026-03-16T19:07:02.269Z","planContent":"# Plan: Improve GetUser logging\n\n## Context\n\n`GetUser` in `internal/repository/user.go` (line 75) logs a `Warn` for every query error, including the common `sql.ErrNoRows` case (user not found). Two problems:\n\n1. `sql.ErrNoRows` is a normal, expected condition — many callers check for it explicitly. It should not produce a warning.\n2. The log message **omits the actual error**: `\"Error while querying user '%v' from database\"` gives no clue what went wrong for real failures.\n\nThis is the same pattern just fixed in `scanJob` (job.go). The established approach: suppress `sql.ErrNoRows`, add `runtime.Caller(1)` context and include `err` in real-error logs.\n\n## Approach\n\nModify the `Scan` error block in `GetUser` (`internal/repository/user.go`, lines 75-79):\n\n```go\nif err := sq.Select(...).QueryRow().Scan(...); err != nil {\n    if err != sql.ErrNoRows {\n        _, file, line, _ := runtime.Caller(1)\n        cclog.Warnf(\"Error while querying user '%v' from database (%s:%d): %v\",\n            username, filepath.Base(file), line, err)\n    }\n    return nil, err\n}\n```\n\nAdd `\"path/filepath\"` and `\"runtime\"` to imports (not currently present in user.go).\n\n## Critical File\n\n- `internal/repository/user.go` — only file to change (lines ~7-24 for imports, ~75-79 for error block)\n\n## Verification\n\n1. `go build ./...` — must compile cleanly\n2. `go test ./internal/repository/...` — existing tests must pass\n","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"cee37f8b-4e17-4b3b-b57e-6ed3ccc8fba7","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
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+{"parentUuid":"e7306f16-6e8c-45b6-8809-d84c34ba063b","isSidechain":false,"promptId":"04ac757c-e21e-4aa4-9121-fb278bd10e02","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KGYRPm2UjfLALSdWfEgrhz","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package repository\n     6→\n     7→import (\n     8→\t\"context\"\n     9→\t\"database/sql\"\n    10→\t\"encoding/json\"\n    11→\t\"errors\"\n    12→\t\"fmt\"\n    13→\t\"reflect\"\n    14→\t\"strings\"\n    15→\t\"sync\"\n    16→\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→\tsq \"github.com/Masterminds/squirrel\"\n    22→\t\"github.com/jmoiron/sqlx\"\n    23→\t\"golang.org/x/crypto/bcrypt\"\n    24→)\n    25→\n    26→// Authentication and Role System:\n    27→//\n    28→// ClusterCockpit supports multiple authentication sources:\n    29→//   - Local: Username/password stored in database (password hashed with bcrypt)\n    30→//   - LDAP: External LDAP/Active Directory authentication\n    31→//   - JWT: Token-based authentication for API access\n    32→//\n    33→// Role Hierarchy (from highest to lowest privilege):\n    34→//   1. \"admin\" - Full system access, can manage all users and jobs\n    35→//   2. \"support\" - Can view all jobs but limited management capabilities\n    36→//   3. \"manager\" - Can manage specific projects and their users\n    37→//   4. \"api\" - Programmatic access for job submission/management\n    38→//   5. \"user\" - Default role, can only view own jobs\n    39→//\n    40→// Project Association:\n    41→//   - Managers have a list of projects they oversee\n    42→//   - Regular users' project membership is determined by job data\n    43→//   - Managers can view/manage all jobs within their projects\n    44→\n    45→var (\n    46→\tuserRepoOnce     sync.Once\n    47→\tuserRepoInstance *UserRepository\n    48→)\n    49→\n    50→type UserRepository struct {\n    51→\tDB     *sqlx.DB\n    52→\tdriver string\n    53→}\n    54→\n    55→func GetUserRepository() *UserRepository {\n    56→\tuserRepoOnce.Do(func() {\n    57→\t\tdb := GetConnection()\n    58→\n    59→\t\tuserRepoInstance = &UserRepository{\n    60→\t\t\tDB:     db.DB,\n    61→\t\t\tdriver: db.Driver,\n    62→\t\t}\n    63→\t})\n    64→\treturn userRepoInstance\n    65→}\n    66→\n    67→// GetUser retrieves a user by username from the database.\n    68→// Returns the complete user record including hashed password, roles, and projects.\n    69→// Password field contains bcrypt hash for local auth users, empty for LDAP users.\n    70→func (r *UserRepository) GetUser(username string) (*schema.User, error) {\n    71→\tuser := &schema.User{Username: username}\n    72→\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n    73→\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n    74→\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n    75→\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n    76→\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n    77→\t\treturn nil, err\n    78→\t}\n    79→\n    80→\tuser.Password = hashedPassword.String\n    81→\tuser.Name = name.String\n    82→\tuser.Email = email.String\n    83→\tif rawRoles.Valid {\n    84→\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n    85→\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n    86→\t\t\treturn nil, err\n    87→\t\t}\n    88→\t}\n    89→\tif rawProjects.Valid {\n    90→\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"7719bb17-00b5-4ad4-9b66-dea2045a44eb","timestamp":"2026-03-16T19:07:06.992Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/user.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"reflect\"\n\t\"strings\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"golang.org/x/crypto/bcrypt\"\n)\n\n// Authentication and Role System:\n//\n// ClusterCockpit supports multiple authentication sources:\n//   - Local: Username/password stored in database (password hashed with bcrypt)\n//   - LDAP: External LDAP/Active Directory authentication\n//   - JWT: Token-based authentication for API access\n//\n// Role Hierarchy (from highest to lowest privilege):\n//   1. \"admin\" - Full system access, can manage all users and jobs\n//   2. \"support\" - Can view all jobs but limited management capabilities\n//   3. \"manager\" - Can manage specific projects and their users\n//   4. \"api\" - Programmatic access for job submission/management\n//   5. \"user\" - Default role, can only view own jobs\n//\n// Project Association:\n//   - Managers have a list of projects they oversee\n//   - Regular users' project membership is determined by job data\n//   - Managers can view/manage all jobs within their projects\n\nvar (\n\tuserRepoOnce     sync.Once\n\tuserRepoInstance *UserRepository\n)\n\ntype UserRepository struct {\n\tDB     *sqlx.DB\n\tdriver string\n}\n\nfunc GetUserRepository() *UserRepository {\n\tuserRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tuserRepoInstance = &UserRepository{\n\t\t\tDB:     db.DB,\n\t\t\tdriver: db.Driver,\n\t\t}\n\t})\n\treturn userRepoInstance\n}\n\n// GetUser retrieves a user by username from the database.\n// Returns the complete user record including hashed password, roles, and projects.\n// Password field contains bcrypt hash for local auth users, empty for LDAP users.\nfunc (r *UserRepository) GetUser(username string) (*schema.User, error) {\n\tuser := &schema.User{Username: username}\n\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Password = hashedPassword.String\n\tuser.Name = name.String\n\tuser.Email = email.String\n\tif rawRoles.Valid {\n\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\tif rawProjects.Valid {\n\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {","numLines":90,"startLine":1,"totalLines":518}},"sourceToolAssistantUUID":"e7306f16-6e8c-45b6-8809-d84c34ba063b","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"cee37f8b-4e17-4b3b-b57e-6ed3ccc8fba7","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
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+{"parentUuid":"2acd4789-2101-4173-9075-92cead753c40","isSidechain":false,"promptId":"04ac757c-e21e-4aa4-9121-fb278bd10e02","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MQUtPMj2fG3dhJctDh1Aw4","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/user.go has been updated successfully."}]},"uuid":"50d8f9cf-693b-41f2-9dd1-e01d1278eeb5","timestamp":"2026-03-16T19:07:12.058Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/user.go","oldString":"import (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"reflect\"\n\t\"strings\"\n\t\"sync\"","newString":"import (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"path/filepath\"\n\t\"reflect\"\n\t\"runtime\"\n\t\"strings\"\n\t\"sync\"","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"reflect\"\n\t\"strings\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"golang.org/x/crypto/bcrypt\"\n)\n\n// Authentication and Role System:\n//\n// ClusterCockpit supports multiple authentication sources:\n//   - Local: Username/password stored in database (password hashed with bcrypt)\n//   - LDAP: External LDAP/Active Directory authentication\n//   - JWT: Token-based authentication for API access\n//\n// Role Hierarchy (from highest to lowest privilege):\n//   1. \"admin\" - Full system access, can manage all users and jobs\n//   2. \"support\" - Can view all jobs but limited management capabilities\n//   3. \"manager\" - Can manage specific projects and their users\n//   4. \"api\" - Programmatic access for job submission/management\n//   5. \"user\" - Default role, can only view own jobs\n//\n// Project Association:\n//   - Managers have a list of projects they oversee\n//   - Regular users' project membership is determined by job data\n//   - Managers can view/manage all jobs within their projects\n\nvar (\n\tuserRepoOnce     sync.Once\n\tuserRepoInstance *UserRepository\n)\n\ntype UserRepository struct {\n\tDB     *sqlx.DB\n\tdriver string\n}\n\nfunc GetUserRepository() *UserRepository {\n\tuserRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tuserRepoInstance = &UserRepository{\n\t\t\tDB:     db.DB,\n\t\t\tdriver: db.Driver,\n\t\t}\n\t})\n\treturn userRepoInstance\n}\n\n// GetUser retrieves a user by username from the database.\n// Returns the complete user record including hashed password, roles, and projects.\n// Password field contains bcrypt hash for local auth users, empty for LDAP users.\nfunc (r *UserRepository) GetUser(username string) (*schema.User, error) {\n\tuser := &schema.User{Username: username}\n\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Password = hashedPassword.String\n\tuser.Name = name.String\n\tuser.Email = email.String\n\tif rawRoles.Valid {\n\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\tif rawProjects.Valid {\n\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn user, nil\n}\n\nfunc (r *UserRepository) GetLdapUsernames() ([]string, error) {\n\tvar users []string\n\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying usernames\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar username string\n\t\tif err := rows.Scan(&username); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tusers = append(users, username)\n\t}\n\n\treturn users, nil\n}\n\n// AddUser creates a new user in the database.\n// Passwords are automatically hashed with bcrypt before storage.\n// Auth source determines authentication method (local, LDAP, etc.).\n//\n// Required fields: Username, Roles\n// Optional fields: Name, Email, Password, Projects, AuthSource\nfunc (r *UserRepository) AddUser(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := []string{\"username\", \"roles\", \"projects\"}\n\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n\n\tif user.Name != \"\" {\n\t\tcols = append(cols, \"name\")\n\t\tvals = append(vals, user.Name)\n\t}\n\tif user.Email != \"\" {\n\t\tcols = append(cols, \"email\")\n\t\tvals = append(vals, user.Email)\n\t}\n\tif user.Password != \"\" {\n\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"Error while encrypting new user password\")\n\t\t\treturn err\n\t\t}\n\t\tcols = append(cols, \"password\")\n\t\tvals = append(vals, string(password))\n\t}\n\tif user.AuthSource != -1 {\n\t\tcols = append(cols, \"ldap\")\n\t\tvals = append(vals, int(user.AuthSource))\n\t}\n\n\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n\t\treturn err\n\t}\n\n\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n\n\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n\t} else if defaultMetricsCfg != nil {\n\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n\t\t\tif _, err := sq.Insert(\"configuration\").\n\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n\t\t\t} else {\n\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n\t\t\t}\n\t\t}\n\t}\n\t// END DEPRECATION\n\n\treturn nil\n}\n\n// AddUserIfNotExists inserts a user only if the username does not already exist.\n// Uses INSERT OR IGNORE to avoid UNIQUE constraint errors when a user is\n// concurrently created (e.g., by a login while LDAP sync is running).\n// Unlike AddUser, this intentionally skips the deprecated default metrics config insertion.\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := \"username, name, roles, projects, ldap\"\n\t_, err := r.DB.Exec(\n\t\t`INSERT OR IGNORE INTO hpc_user (`+cols+`) VALUES (?, ?, ?, ?, ?)`,\n\t\tuser.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n\treturn err\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n\t// user contains updated info -> Apply to dbUser\n\t// --- Simple Name Update ---\n\tif dbUser.Name != user.Name {\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Def Helpers ---\n\t// Helper to update roles\n\tupdateRoles := func(roles []string) error {\n\t\trolesJSON, _ := json.Marshal(roles)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to update projects\n\tupdateProjects := func(projects []string) error {\n\t\tprojectsJSON, _ := json.Marshal(projects)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to clear projects\n\tclearProjects := func() error {\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// --- Manager Role Handling ---\n\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n\t\t// Existing Manager: update projects\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Manager: update roles and projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n\t\t// Remove Manager: update roles and clear projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := clearProjects(); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Support Role Handling ---\n\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t// Remove Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) DelUser(username string) error {\n\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted user '%s' from DB\", username)\n\treturn nil\n}\n\nfunc (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n\tif specialsOnly {\n\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n\t}\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying user list\")\n\t\treturn nil, err\n\t}\n\n\tusers := make([]*schema.User, 0)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\trawroles := \"\"\n\t\trawprojects := \"\"\n\t\tuser := &schema.User{}\n\t\tvar name, email sql.NullString\n\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning user list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tuser.Name = name.String\n\t\tuser.Email = email.String\n\t\tusers = append(users, user)\n\t}\n\treturn users, nil\n}\n\n// AddRole adds a role to a user's role list.\n// Role string is automatically lowercased.\n// Valid roles: admin, support, manager, api, user\n//\n// Returns error if:\n//   - User doesn't exist\n//   - Role is invalid\n//   - User already has the role\nfunc (r *UserRepository) AddRole(\n\tctx context.Context,\n\tusername string,\n\tqueryrole string,\n) error {\n\tnewRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(newRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n\t}\n\tif exists {\n\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n\t}\n\n\troles, _ := json.Marshal(append(user.Roles, newRole))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// RemoveRole removes a role from a user's role list.\n//\n// Special rules:\n//   - Cannot remove \"manager\" role while user has assigned projects\n//   - Must remove all projects first before removing manager role\nfunc (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n\toldRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(oldRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n\t}\n\tif !exists {\n\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n\t}\n\n\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n\t}\n\n\tvar newroles []string\n\tfor _, r := range user.Roles {\n\t\tif r != oldRole {\n\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n\t\t}\n\t}\n\n\tmroles, _ := json.Marshal(newroles)\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// AddProject assigns a project to a manager user.\n// Only users with the \"manager\" role can have assigned projects.\n//\n// Returns error if:\n//   - User doesn't have manager role\n//   - User already manages the project\nfunc (r *UserRepository) AddProject(\n\tctx context.Context,\n\tusername string,\n\tproject string,\n) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n\t}\n\n\tif user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n\t}\n\n\tprojects, _ := json.Marshal(append(user.Projects, project))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n\t}\n\n\tif !user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n\t}\n\n\tvar exists bool\n\tvar newprojects []string\n\tfor _, p := range user.Projects {\n\t\tif p != project {\n\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n\t\t} else {\n\t\t\texists = true\n\t\t}\n\t}\n\n\tif exists {\n\t\tvar result any\n\t\tif len(newprojects) == 0 {\n\t\t\tresult = \"[]\"\n\t\t} else {\n\t\t\tresult, _ = json.Marshal(newprojects)\n\t\t}\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\t\treturn err\n\t\t}\n\t\treturn nil\n\t} else {\n\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n\t}\n}\n\ntype ContextKey string\n\nconst ContextUserKey ContextKey = \"user\"\n\nfunc GetUserFromContext(ctx context.Context) *schema.User {\n\tx := ctx.Value(ContextUserKey)\n\tif x == nil {\n\t\tcclog.Warnf(\"no user retrieved from context\")\n\t\treturn nil\n\t}\n\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n\treturn x.(*schema.User)\n}\n\nfunc (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n\tme := GetUserFromContext(ctx)\n\tif me != nil && me.Username != username &&\n\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"forbidden\")\n\t}\n\n\tuser := &model.User{Username: username}\n\tvar name, email sql.NullString\n\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n\t\t\treturn nil, nil\n\t\t}\n\n\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Name = name.String\n\tuser.Email = email.String\n\treturn user, nil\n}\n","structuredPatch":[{"oldStart":10,"oldLines":7,"newStart":10,"newLines":9,"lines":["   \"encoding/json\"","   \"errors\"","   \"fmt\"","+  \"path/filepath\"","   \"reflect\"","+  \"runtime\"","   \"strings\"","   \"sync\""," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"2acd4789-2101-4173-9075-92cead753c40","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"cee37f8b-4e17-4b3b-b57e-6ed3ccc8fba7","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
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+{"parentUuid":"54afad83-3b10-4b24-9972-609b4915b1c9","isSidechain":false,"promptId":"04ac757c-e21e-4aa4-9121-fb278bd10e02","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014MYB93LDFRKCGo8NwbLq7Q","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/user.go has been updated successfully."}]},"uuid":"4548479b-8d63-40eb-8914-cdfcccfb5ed3","timestamp":"2026-03-16T19:07:18.098Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/user.go","oldString":"\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n\t\treturn nil, err\n\t}","newString":"\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n\t\tif err != sql.ErrNoRows {\n\t\t\t_, file, line, _ := runtime.Caller(1)\n\t\t\tcclog.Warnf(\"Error while querying user '%v' from database (%s:%d): %v\",\n\t\t\t\tusername, filepath.Base(file), line, err)\n\t\t}\n\t\treturn nil, err\n\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"path/filepath\"\n\t\"reflect\"\n\t\"runtime\"\n\t\"strings\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"golang.org/x/crypto/bcrypt\"\n)\n\n// Authentication and Role System:\n//\n// ClusterCockpit supports multiple authentication sources:\n//   - Local: Username/password stored in database (password hashed with bcrypt)\n//   - LDAP: External LDAP/Active Directory authentication\n//   - JWT: Token-based authentication for API access\n//\n// Role Hierarchy (from highest to lowest privilege):\n//   1. \"admin\" - Full system access, can manage all users and jobs\n//   2. \"support\" - Can view all jobs but limited management capabilities\n//   3. \"manager\" - Can manage specific projects and their users\n//   4. \"api\" - Programmatic access for job submission/management\n//   5. \"user\" - Default role, can only view own jobs\n//\n// Project Association:\n//   - Managers have a list of projects they oversee\n//   - Regular users' project membership is determined by job data\n//   - Managers can view/manage all jobs within their projects\n\nvar (\n\tuserRepoOnce     sync.Once\n\tuserRepoInstance *UserRepository\n)\n\ntype UserRepository struct {\n\tDB     *sqlx.DB\n\tdriver string\n}\n\nfunc GetUserRepository() *UserRepository {\n\tuserRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tuserRepoInstance = &UserRepository{\n\t\t\tDB:     db.DB,\n\t\t\tdriver: db.Driver,\n\t\t}\n\t})\n\treturn userRepoInstance\n}\n\n// GetUser retrieves a user by username from the database.\n// Returns the complete user record including hashed password, roles, and projects.\n// Password field contains bcrypt hash for local auth users, empty for LDAP users.\nfunc (r *UserRepository) GetUser(username string) (*schema.User, error) {\n\tuser := &schema.User{Username: username}\n\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Password = hashedPassword.String\n\tuser.Name = name.String\n\tuser.Email = email.String\n\tif rawRoles.Valid {\n\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\tif rawProjects.Valid {\n\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn user, nil\n}\n\nfunc (r *UserRepository) GetLdapUsernames() ([]string, error) {\n\tvar users []string\n\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying usernames\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar username string\n\t\tif err := rows.Scan(&username); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tusers = append(users, username)\n\t}\n\n\treturn users, nil\n}\n\n// AddUser creates a new user in the database.\n// Passwords are automatically hashed with bcrypt before storage.\n// Auth source determines authentication method (local, LDAP, etc.).\n//\n// Required fields: Username, Roles\n// Optional fields: Name, Email, Password, Projects, AuthSource\nfunc (r *UserRepository) AddUser(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := []string{\"username\", \"roles\", \"projects\"}\n\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n\n\tif user.Name != \"\" {\n\t\tcols = append(cols, \"name\")\n\t\tvals = append(vals, user.Name)\n\t}\n\tif user.Email != \"\" {\n\t\tcols = append(cols, \"email\")\n\t\tvals = append(vals, user.Email)\n\t}\n\tif user.Password != \"\" {\n\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"Error while encrypting new user password\")\n\t\t\treturn err\n\t\t}\n\t\tcols = append(cols, \"password\")\n\t\tvals = append(vals, string(password))\n\t}\n\tif user.AuthSource != -1 {\n\t\tcols = append(cols, \"ldap\")\n\t\tvals = append(vals, int(user.AuthSource))\n\t}\n\n\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n\t\treturn err\n\t}\n\n\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n\n\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n\t} else if defaultMetricsCfg != nil {\n\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n\t\t\tif _, err := sq.Insert(\"configuration\").\n\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n\t\t\t} else {\n\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n\t\t\t}\n\t\t}\n\t}\n\t// END DEPRECATION\n\n\treturn nil\n}\n\n// AddUserIfNotExists inserts a user only if the username does not already exist.\n// Uses INSERT OR IGNORE to avoid UNIQUE constraint errors when a user is\n// concurrently created (e.g., by a login while LDAP sync is running).\n// Unlike AddUser, this intentionally skips the deprecated default metrics config insertion.\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := \"username, name, roles, projects, ldap\"\n\t_, err := r.DB.Exec(\n\t\t`INSERT OR IGNORE INTO hpc_user (`+cols+`) VALUES (?, ?, ?, ?, ?)`,\n\t\tuser.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n\treturn err\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n\t// user contains updated info -> Apply to dbUser\n\t// --- Simple Name Update ---\n\tif dbUser.Name != user.Name {\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Def Helpers ---\n\t// Helper to update roles\n\tupdateRoles := func(roles []string) error {\n\t\trolesJSON, _ := json.Marshal(roles)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to update projects\n\tupdateProjects := func(projects []string) error {\n\t\tprojectsJSON, _ := json.Marshal(projects)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to clear projects\n\tclearProjects := func() error {\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// --- Manager Role Handling ---\n\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n\t\t// Existing Manager: update projects\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Manager: update roles and projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n\t\t// Remove Manager: update roles and clear projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := clearProjects(); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Support Role Handling ---\n\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t// Remove Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) DelUser(username string) error {\n\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted user '%s' from DB\", username)\n\treturn nil\n}\n\nfunc (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n\tif specialsOnly {\n\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n\t}\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying user list\")\n\t\treturn nil, err\n\t}\n\n\tusers := make([]*schema.User, 0)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\trawroles := \"\"\n\t\trawprojects := \"\"\n\t\tuser := &schema.User{}\n\t\tvar name, email sql.NullString\n\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning user list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tuser.Name = name.String\n\t\tuser.Email = email.String\n\t\tusers = append(users, user)\n\t}\n\treturn users, nil\n}\n\n// AddRole adds a role to a user's role list.\n// Role string is automatically lowercased.\n// Valid roles: admin, support, manager, api, user\n//\n// Returns error if:\n//   - User doesn't exist\n//   - Role is invalid\n//   - User already has the role\nfunc (r *UserRepository) AddRole(\n\tctx context.Context,\n\tusername string,\n\tqueryrole string,\n) error {\n\tnewRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(newRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n\t}\n\tif exists {\n\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n\t}\n\n\troles, _ := json.Marshal(append(user.Roles, newRole))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// RemoveRole removes a role from a user's role list.\n//\n// Special rules:\n//   - Cannot remove \"manager\" role while user has assigned projects\n//   - Must remove all projects first before removing manager role\nfunc (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n\toldRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(oldRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n\t}\n\tif !exists {\n\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n\t}\n\n\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n\t}\n\n\tvar newroles []string\n\tfor _, r := range user.Roles {\n\t\tif r != oldRole {\n\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n\t\t}\n\t}\n\n\tmroles, _ := json.Marshal(newroles)\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// AddProject assigns a project to a manager user.\n// Only users with the \"manager\" role can have assigned projects.\n//\n// Returns error if:\n//   - User doesn't have manager role\n//   - User already manages the project\nfunc (r *UserRepository) AddProject(\n\tctx context.Context,\n\tusername string,\n\tproject string,\n) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n\t}\n\n\tif user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n\t}\n\n\tprojects, _ := json.Marshal(append(user.Projects, project))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n\t}\n\n\tif !user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n\t}\n\n\tvar exists bool\n\tvar newprojects []string\n\tfor _, p := range user.Projects {\n\t\tif p != project {\n\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n\t\t} else {\n\t\t\texists = true\n\t\t}\n\t}\n\n\tif exists {\n\t\tvar result any\n\t\tif len(newprojects) == 0 {\n\t\t\tresult = \"[]\"\n\t\t} else {\n\t\t\tresult, _ = json.Marshal(newprojects)\n\t\t}\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\t\treturn err\n\t\t}\n\t\treturn nil\n\t} else {\n\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n\t}\n}\n\ntype ContextKey string\n\nconst ContextUserKey ContextKey = \"user\"\n\nfunc GetUserFromContext(ctx context.Context) *schema.User {\n\tx := ctx.Value(ContextUserKey)\n\tif x == nil {\n\t\tcclog.Warnf(\"no user retrieved from context\")\n\t\treturn nil\n\t}\n\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n\treturn x.(*schema.User)\n}\n\nfunc (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n\tme := GetUserFromContext(ctx)\n\tif me != nil && me.Username != username &&\n\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"forbidden\")\n\t}\n\n\tuser := &model.User{Username: username}\n\tvar name, email sql.NullString\n\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n\t\t\treturn nil, nil\n\t\t}\n\n\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Name = name.String\n\tuser.Email = email.String\n\treturn user, nil\n}\n","structuredPatch":[{"oldStart":75,"oldLines":7,"newStart":75,"newLines":11,"lines":["   if err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").","     Where(\"hpc_user.username = ?\", username).RunWith(r.DB).","     QueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {","-    cclog.Warnf(\"Error while querying user '%v' from database\", username)","+    if err != sql.ErrNoRows {","+      _, file, line, _ := runtime.Caller(1)","+      cclog.Warnf(\"Error while querying user '%v' from database (%s:%d): %v\",","+        username, filepath.Base(file), line, err)","+    }","     return nil, err","   }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"54afad83-3b10-4b24-9972-609b4915b1c9","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"cee37f8b-4e17-4b3b-b57e-6ed3ccc8fba7","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
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+{"parentUuid":"e71965a0-7ca9-40d4-99a2-34c038300bdc","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_01J5ADM42LKZHSrQLqtWaND7","type":"message","role":"assistant","content":[{"type":"text","text":"Hmm, the diagnostics say the imports are unused. Let me check the actual file state."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":453,"cache_read_input_tokens":20084,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":453},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ7HQGHaxTnztmAzcZgCW","type":"assistant","uuid":"5761812a-ce96-48cf-80c3-b4493d2effc8","timestamp":"2026-03-16T19:07:22.069Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"cee37f8b-4e17-4b3b-b57e-6ed3ccc8fba7","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
+{"parentUuid":"5761812a-ce96-48cf-80c3-b4493d2effc8","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_01J5ADM42LKZHSrQLqtWaND7","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VZnP6qPheN8BEayBiYrGvr","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/user.go","limit":100},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":453,"cache_read_input_tokens":20084,"output_tokens":169,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":453,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ7HQGHaxTnztmAzcZgCW","type":"assistant","uuid":"6f77b87a-0646-41e0-a3b8-bb04430358b4","timestamp":"2026-03-16T19:07:22.275Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"cee37f8b-4e17-4b3b-b57e-6ed3ccc8fba7","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
+{"parentUuid":"6f77b87a-0646-41e0-a3b8-bb04430358b4","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01VZnP6qPheN8BEayBiYrGvr","toolUseID":"toolu_01VZnP6qPheN8BEayBiYrGvr","timestamp":"2026-03-16T19:07:22.295Z","uuid":"9f21c1cb-e9c5-42c0-8269-56f6f99763a2","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"cee37f8b-4e17-4b3b-b57e-6ed3ccc8fba7","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
+{"parentUuid":"6f77b87a-0646-41e0-a3b8-bb04430358b4","isSidechain":false,"promptId":"04ac757c-e21e-4aa4-9121-fb278bd10e02","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VZnP6qPheN8BEayBiYrGvr","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package repository\n     6→\n     7→import (\n     8→\t\"context\"\n     9→\t\"database/sql\"\n    10→\t\"encoding/json\"\n    11→\t\"errors\"\n    12→\t\"fmt\"\n    13→\t\"path/filepath\"\n    14→\t\"reflect\"\n    15→\t\"runtime\"\n    16→\t\"strings\"\n    17→\t\"sync\"\n    18→\n    19→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    20→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    23→\tsq \"github.com/Masterminds/squirrel\"\n    24→\t\"github.com/jmoiron/sqlx\"\n    25→\t\"golang.org/x/crypto/bcrypt\"\n    26→)\n    27→\n    28→// Authentication and Role System:\n    29→//\n    30→// ClusterCockpit supports multiple authentication sources:\n    31→//   - Local: Username/password stored in database (password hashed with bcrypt)\n    32→//   - LDAP: External LDAP/Active Directory authentication\n    33→//   - JWT: Token-based authentication for API access\n    34→//\n    35→// Role Hierarchy (from highest to lowest privilege):\n    36→//   1. \"admin\" - Full system access, can manage all users and jobs\n    37→//   2. \"support\" - Can view all jobs but limited management capabilities\n    38→//   3. \"manager\" - Can manage specific projects and their users\n    39→//   4. \"api\" - Programmatic access for job submission/management\n    40→//   5. \"user\" - Default role, can only view own jobs\n    41→//\n    42→// Project Association:\n    43→//   - Managers have a list of projects they oversee\n    44→//   - Regular users' project membership is determined by job data\n    45→//   - Managers can view/manage all jobs within their projects\n    46→\n    47→var (\n    48→\tuserRepoOnce     sync.Once\n    49→\tuserRepoInstance *UserRepository\n    50→)\n    51→\n    52→type UserRepository struct {\n    53→\tDB     *sqlx.DB\n    54→\tdriver string\n    55→}\n    56→\n    57→func GetUserRepository() *UserRepository {\n    58→\tuserRepoOnce.Do(func() {\n    59→\t\tdb := GetConnection()\n    60→\n    61→\t\tuserRepoInstance = &UserRepository{\n    62→\t\t\tDB:     db.DB,\n    63→\t\t\tdriver: db.Driver,\n    64→\t\t}\n    65→\t})\n    66→\treturn userRepoInstance\n    67→}\n    68→\n    69→// GetUser retrieves a user by username from the database.\n    70→// Returns the complete user record including hashed password, roles, and projects.\n    71→// Password field contains bcrypt hash for local auth users, empty for LDAP users.\n    72→func (r *UserRepository) GetUser(username string) (*schema.User, error) {\n    73→\tuser := &schema.User{Username: username}\n    74→\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n    75→\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n    76→\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n    77→\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n    78→\t\tif err != sql.ErrNoRows {\n    79→\t\t\t_, file, line, _ := runtime.Caller(1)\n    80→\t\t\tcclog.Warnf(\"Error while querying user '%v' from database (%s:%d): %v\",\n    81→\t\t\t\tusername, filepath.Base(file), line, err)\n    82→\t\t}\n    83→\t\treturn nil, err\n    84→\t}\n    85→\n    86→\tuser.Password = hashedPassword.String\n    87→\tuser.Name = name.String\n    88→\tuser.Email = email.String\n    89→\tif rawRoles.Valid {\n    90→\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n    91→\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n    92→\t\t\treturn nil, err\n    93→\t\t}\n    94→\t}\n    95→\tif rawProjects.Valid {\n    96→\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n    97→\t\t\treturn nil, err\n    98→\t\t}\n    99→\t}\n   100→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"49337e48-3747-4685-8e1b-486246169888","timestamp":"2026-03-16T19:07:22.295Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/user.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"path/filepath\"\n\t\"reflect\"\n\t\"runtime\"\n\t\"strings\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"golang.org/x/crypto/bcrypt\"\n)\n\n// Authentication and Role System:\n//\n// ClusterCockpit supports multiple authentication sources:\n//   - Local: Username/password stored in database (password hashed with bcrypt)\n//   - LDAP: External LDAP/Active Directory authentication\n//   - JWT: Token-based authentication for API access\n//\n// Role Hierarchy (from highest to lowest privilege):\n//   1. \"admin\" - Full system access, can manage all users and jobs\n//   2. \"support\" - Can view all jobs but limited management capabilities\n//   3. \"manager\" - Can manage specific projects and their users\n//   4. \"api\" - Programmatic access for job submission/management\n//   5. \"user\" - Default role, can only view own jobs\n//\n// Project Association:\n//   - Managers have a list of projects they oversee\n//   - Regular users' project membership is determined by job data\n//   - Managers can view/manage all jobs within their projects\n\nvar (\n\tuserRepoOnce     sync.Once\n\tuserRepoInstance *UserRepository\n)\n\ntype UserRepository struct {\n\tDB     *sqlx.DB\n\tdriver string\n}\n\nfunc GetUserRepository() *UserRepository {\n\tuserRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tuserRepoInstance = &UserRepository{\n\t\t\tDB:     db.DB,\n\t\t\tdriver: db.Driver,\n\t\t}\n\t})\n\treturn userRepoInstance\n}\n\n// GetUser retrieves a user by username from the database.\n// Returns the complete user record including hashed password, roles, and projects.\n// Password field contains bcrypt hash for local auth users, empty for LDAP users.\nfunc (r *UserRepository) GetUser(username string) (*schema.User, error) {\n\tuser := &schema.User{Username: username}\n\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n\t\tif err != sql.ErrNoRows {\n\t\t\t_, file, line, _ := runtime.Caller(1)\n\t\t\tcclog.Warnf(\"Error while querying user '%v' from database (%s:%d): %v\",\n\t\t\t\tusername, filepath.Base(file), line, err)\n\t\t}\n\t\treturn nil, err\n\t}\n\n\tuser.Password = hashedPassword.String\n\tuser.Name = name.String\n\tuser.Email = email.String\n\tif rawRoles.Valid {\n\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\tif rawProjects.Valid {\n\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t}\n","numLines":100,"startLine":1,"totalLines":524}},"sourceToolAssistantUUID":"6f77b87a-0646-41e0-a3b8-bb04430358b4","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"cee37f8b-4e17-4b3b-b57e-6ed3ccc8fba7","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
+{"parentUuid":"49337e48-3747-4685-8e1b-486246169888","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_017d9mbWaQyJLKPTkRhqxoxU","type":"message","role":"assistant","content":[{"type":"text","text":"The file looks correct. The LSP diagnostics are likely stale — the code on lines 79-81 clearly uses both `runtime` and `filepath`. Let me verify with a build."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1610,"cache_read_input_tokens":20537,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1610},"output_tokens":6,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ7HQaEazf51bRkuWzeTL","type":"assistant","uuid":"81794742-22e1-43ce-9a2f-3ca38bb192e2","timestamp":"2026-03-16T19:07:24.790Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"cee37f8b-4e17-4b3b-b57e-6ed3ccc8fba7","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
+{"parentUuid":"81794742-22e1-43ce-9a2f-3ca38bb192e2","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_017d9mbWaQyJLKPTkRhqxoxU","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XoiTjLsrpNBALhLpGs4nLA","name":"Bash","input":{"command":"go build ./... 2>&1","description":"Build to verify compilation"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1610,"cache_read_input_tokens":20537,"output_tokens":136,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1610,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ7HQaEazf51bRkuWzeTL","type":"assistant","uuid":"ab5f8633-c48a-453b-8918-a067c2a9ea1a","timestamp":"2026-03-16T19:07:25.469Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"cee37f8b-4e17-4b3b-b57e-6ed3ccc8fba7","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
+{"parentUuid":"ab5f8633-c48a-453b-8918-a067c2a9ea1a","isSidechain":false,"promptId":"04ac757c-e21e-4aa4-9121-fb278bd10e02","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XoiTjLsrpNBALhLpGs4nLA","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"uuid":"c04ff3d0-ff62-4b15-8a7e-e41da6240cba","timestamp":"2026-03-16T19:07:31.072Z","toolUseResult":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"ab5f8633-c48a-453b-8918-a067c2a9ea1a","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"cee37f8b-4e17-4b3b-b57e-6ed3ccc8fba7","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
+{"parentUuid":"c04ff3d0-ff62-4b15-8a7e-e41da6240cba","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_015yhQrgAgNFNMozD6N2kyah","type":"message","role":"assistant","content":[{"type":"text","text":"Clean build. Let me run the repository tests."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":139,"cache_read_input_tokens":22147,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":139},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ7HRDkowkk8WyTmWjo7k","type":"assistant","uuid":"5ff00ef8-7cf8-4570-8547-0e93ceb83fe2","timestamp":"2026-03-16T19:07:34.051Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"cee37f8b-4e17-4b3b-b57e-6ed3ccc8fba7","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
+{"parentUuid":"5ff00ef8-7cf8-4570-8547-0e93ceb83fe2","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_015yhQrgAgNFNMozD6N2kyah","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LFfyTpBz6k3Sp983yiE2W2","name":"Bash","input":{"command":"go test ./internal/repository/... 2>&1","description":"Run repository tests"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":139,"cache_read_input_tokens":22147,"output_tokens":93,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":139,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ7HRDkowkk8WyTmWjo7k","type":"assistant","uuid":"1b3c2e2f-4994-4442-a7ad-9d2fcea8cf34","timestamp":"2026-03-16T19:07:34.422Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"cee37f8b-4e17-4b3b-b57e-6ed3ccc8fba7","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
+{"parentUuid":"1b3c2e2f-4994-4442-a7ad-9d2fcea8cf34","isSidechain":false,"promptId":"04ac757c-e21e-4aa4-9121-fb278bd10e02","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LFfyTpBz6k3Sp983yiE2W2","type":"tool_result","content":"ok  \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t0.951s","is_error":false}]},"uuid":"bf959b3e-0775-4033-be08-4e90cb729fec","timestamp":"2026-03-16T19:07:36.469Z","toolUseResult":{"stdout":"ok  \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t0.951s","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"1b3c2e2f-4994-4442-a7ad-9d2fcea8cf34","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"cee37f8b-4e17-4b3b-b57e-6ed3ccc8fba7","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
+{"parentUuid":"bf959b3e-0775-4033-be08-4e90cb729fec","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_013uihxV82AHNdJTJKWq9mVE","type":"message","role":"assistant","content":[{"type":"text","text":"Done. Both `go build` and `go test` pass cleanly. The changes:\n\n- **`internal/repository/user.go`**: `sql.ErrNoRows` is now silently passed through; real errors log the message with the caller location and the actual error value included."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":130,"cache_read_input_tokens":22286,"output_tokens":66,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":130,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ7HRcq8vLPW4LBkhBAcV","type":"assistant","uuid":"21879b31-1112-471f-96fd-7f3c6d27b1b5","timestamp":"2026-03-16T19:07:39.647Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"cee37f8b-4e17-4b3b-b57e-6ed3ccc8fba7","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
+{"parentUuid":"21879b31-1112-471f-96fd-7f3c6d27b1b5","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"Stop","hookName":"Stop","command":"entire hooks claude-code stop"},"parentToolUseID":"6576078b-4596-4eed-9379-92da9dc8b296","toolUseID":"6576078b-4596-4eed-9379-92da9dc8b296","timestamp":"2026-03-16T19:07:39.669Z","uuid":"24faf082-a67a-4f68-94b9-26d4c0760d0f","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"cee37f8b-4e17-4b3b-b57e-6ed3ccc8fba7","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
diff --git a/20/746187d135/0/metadata.json b/20/746187d135/0/metadata.json
new file mode 100644
index 00000000..b9129e53
--- /dev/null
+++ b/20/746187d135/0/metadata.json
@@ -0,0 +1,30 @@
+{
+  "cli_version": "0.4.8",
+  "checkpoint_id": "20746187d135",
+  "session_id": "cee37f8b-4e17-4b3b-b57e-6ed3ccc8fba7",
+  "strategy": "manual-commit",
+  "created_at": "2026-03-16T19:09:46.19279Z",
+  "branch": "hotfix",
+  "checkpoints_count": 1,
+  "files_touched": [
+    "internal/repository/user.go"
+  ],
+  "agent": "Claude Code",
+  "turn_id": "8655b74a6705",
+  "token_usage": {
+    "input_tokens": 9,
+    "cache_creation_tokens": 13749,
+    "cache_read_tokens": 131587,
+    "output_tokens": 1095,
+    "api_call_count": 7
+  },
+  "initial_attribution": {
+    "calculated_at": "2026-03-16T19:09:46.15026Z",
+    "agent_lines": 0,
+    "human_added": 1,
+    "human_modified": 7,
+    "human_removed": 0,
+    "total_committed": 8,
+    "agent_percentage": 0
+  }
+}
diff --git a/20/746187d135/0/prompt.txt b/20/746187d135/0/prompt.txt
new file mode 100644
index 00000000..dbe99a18
--- /dev/null
+++ b/20/746187d135/0/prompt.txt
@@ -0,0 +1,41 @@
+Implement the following plan:
+
+# Plan: Improve GetUser logging
+
+## Context
+
+`GetUser` in `internal/repository/user.go` (line 75) logs a `Warn` for every query error, including the common `sql.ErrNoRows` case (user not found). Two problems:
+
+1. `sql.ErrNoRows` is a normal, expected condition — many callers check for it explicitly. It should not produce a warning.
+2. The log message **omits the actual error**: `"Error while querying user '%v' from database"` gives no clue what went wrong for real failures.
+
+This is the same pattern just fixed in `scanJob` (job.go). The established approach: suppress `sql.ErrNoRows`, add `runtime.Caller(1)` context and include `err` in real-error logs.
+
+## Approach
+
+Modify the `Scan` error block in `GetUser` (`internal/repository/user.go`, lines 75-79):
+
+```go
+if err := sq.Select(...).QueryRow().Scan(...); err != nil {
+    if err != sql.ErrNoRows {
+        _, file, line, _ := runtime.Caller(1)
+        cclog.Warnf("Error while querying user '%v' from database (%s:%d): %v",
+            username, filepath.Base(file), line, err)
+    }
+    return nil, err
+}
+```
+
+Add `"path/filepath"` and `"runtime"` to imports (not currently present in user.go).
+
+## Critical File
+
+- `internal/repository/user.go` — only file to change (lines ~7-24 for imports, ~75-79 for error block)
+
+## Verification
+
+1. `go build ./...` — must compile cleanly
+2. `go test ./internal/repository/...` — existing tests must pass
+
+
+If you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-CC-cc-backend/7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd.jsonl
\ No newline at end of file
diff --git a/20/746187d135/metadata.json b/20/746187d135/metadata.json
new file mode 100644
index 00000000..2d93abb4
--- /dev/null
+++ b/20/746187d135/metadata.json
@@ -0,0 +1,26 @@
+{
+  "cli_version": "0.4.8",
+  "checkpoint_id": "20746187d135",
+  "strategy": "manual-commit",
+  "branch": "hotfix",
+  "checkpoints_count": 1,
+  "files_touched": [
+    "internal/repository/user.go"
+  ],
+  "sessions": [
+    {
+      "metadata": "/20/746187d135/0/metadata.json",
+      "transcript": "/20/746187d135/0/full.jsonl",
+      "context": "/20/746187d135/0/context.md",
+      "content_hash": "/20/746187d135/0/content_hash.txt",
+      "prompt": "/20/746187d135/0/prompt.txt"
+    }
+  ],
+  "token_usage": {
+    "input_tokens": 9,
+    "cache_creation_tokens": 13749,
+    "cache_read_tokens": 131587,
+    "output_tokens": 1095,
+    "api_call_count": 7
+  }
+}
diff --git a/21/87cd89cb78/0/content_hash.txt b/21/87cd89cb78/0/content_hash.txt
new file mode 100644
index 00000000..96415f05
--- /dev/null
+++ b/21/87cd89cb78/0/content_hash.txt
@@ -0,0 +1 @@
+sha256:fb4cc846169599e2af69598b8ecdb739278dc005163f8795bfac91e2e2066b9d
\ No newline at end of file
diff --git a/21/87cd89cb78/0/full.jsonl b/21/87cd89cb78/0/full.jsonl
new file mode 100644
index 00000000..9f75a8e2
--- /dev/null
+++ b/21/87cd89cb78/0/full.jsonl
@@ -0,0 +1,23 @@
+{"type":"file-history-snapshot","messageId":"9632af24-4cd3-471b-bf7b-c2264d5ee9c3","snapshot":{"messageId":"9632af24-4cd3-471b-bf7b-c2264d5ee9c3","trackedFileBackups":{},"timestamp":"2026-03-18T05:54:06.615Z"},"isSnapshotUpdate":false}
+{"parentUuid":null,"isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"2eae9aed-e5e2-4295-b814-f1c9b810e7b9","toolUseID":"2eae9aed-e5e2-4295-b814-f1c9b810e7b9","timestamp":"2026-03-18T05:54:06.569Z","uuid":"f89c5f38-3ede-4d5f-8649-ddcc12eed8be","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9669e1b0-5634-4211-874c-e6727553d73c","version":"2.1.78","gitBranch":"hotfix"}
+{"parentUuid":"f89c5f38-3ede-4d5f-8649-ddcc12eed8be","isSidechain":false,"promptId":"91ccd3cf-29e3-4c49-926c-ff2fbce3f600","type":"user","message":{"role":"user","content":"<local-command-caveat>Caveat: The messages below were generated by the user while running local commands. DO NOT respond to these messages or otherwise consider them in your response unless the user explicitly asks you to.</local-command-caveat>"},"isMeta":true,"uuid":"5d3d05cf-fc80-4cd4-84ad-c16f083764ea","timestamp":"2026-03-18T05:54:06.615Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9669e1b0-5634-4211-874c-e6727553d73c","version":"2.1.78","gitBranch":"hotfix"}
+{"parentUuid":"5d3d05cf-fc80-4cd4-84ad-c16f083764ea","isSidechain":false,"promptId":"91ccd3cf-29e3-4c49-926c-ff2fbce3f600","type":"user","message":{"role":"user","content":"<command-name>/clear</command-name>\n            <command-message>clear</command-message>\n            <command-args></command-args>"},"uuid":"9632af24-4cd3-471b-bf7b-c2264d5ee9c3","timestamp":"2026-03-18T05:54:06.437Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9669e1b0-5634-4211-874c-e6727553d73c","version":"2.1.78","gitBranch":"hotfix"}
+{"parentUuid":"9632af24-4cd3-471b-bf7b-c2264d5ee9c3","isSidechain":false,"type":"system","subtype":"local_command","content":"<local-command-stdout></local-command-stdout>","level":"info","timestamp":"2026-03-18T05:54:06.615Z","uuid":"6e8b4f16-56d9-408a-b3b2-72b743f2cf9d","isMeta":false,"userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9669e1b0-5634-4211-874c-e6727553d73c","version":"2.1.78","gitBranch":"hotfix"}
+{"type":"file-history-snapshot","messageId":"2be51b7f-c95d-4e37-9a6d-c4dc4175037c","snapshot":{"messageId":"2be51b7f-c95d-4e37-9a6d-c4dc4175037c","trackedFileBackups":{},"timestamp":"2026-03-18T05:54:32.164Z"},"isSnapshotUpdate":false}
+{"parentUuid":"6e8b4f16-56d9-408a-b3b2-72b743f2cf9d","isSidechain":false,"promptId":"d59532b9-b93b-41d1-974e-b7c671f10548","type":"user","message":{"role":"user","content":"Add more context information to the log message at line 424"},"uuid":"2be51b7f-c95d-4e37-9a6d-c4dc4175037c","timestamp":"2026-03-18T05:54:31.630Z","permissionMode":"acceptEdits","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9669e1b0-5634-4211-874c-e6727553d73c","version":"2.1.78","gitBranch":"hotfix"}
+{"parentUuid":"2be51b7f-c95d-4e37-9a6d-c4dc4175037c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0172ActnKgbwZKXvVnSL7Zyw","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nLet me read the file to see the current log message at line 424."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":10489,"cache_read_input_tokens":8666,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":10489},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZA2ZovNQeXxoZMpCgWHP","type":"assistant","uuid":"8912940a-9154-4f5e-9a95-d5595edc9a99","timestamp":"2026-03-18T05:54:36.718Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9669e1b0-5634-4211-874c-e6727553d73c","version":"2.1.78","gitBranch":"hotfix"}
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+{"parentUuid":"a0df7bcf-8c0d-4738-b459-ef6ddf12e031","isSidechain":false,"promptId":"d59532b9-b93b-41d1-974e-b7c671f10548","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LAbQPhkDxeJ1qrVoqioPYv","type":"tool_result","content":"   415→\t\t\t\treturn\n   416→\t\t\t}\n   417→\t\t}\n   418→\t\tif user != nil {\n   419→\t\t\tctx := context.WithValue(r.Context(), repository.ContextUserKey, user)\n   420→\t\t\tonsuccess.ServeHTTP(rw, r.WithContext(ctx))\n   421→\t\t\treturn\n   422→\t\t}\n   423→\n   424→\t\tcclog.Info(\"auth -> authentication failed\")\n   425→\t\tonfailure(rw, r, errors.New(\"unauthorized (please login first)\"))\n   426→\t})\n   427→}\n   428→\n   429→func (auth *Authentication) AuthAPI(\n   430→\tonsuccess http.Handler,\n   431→\tonfailure func(rw http.ResponseWriter, r *http.Request, authErr error),\n   432→) http.Handler {\n   433→\treturn http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n   434→\t\tuser, err := auth.JwtAuth.AuthViaJWT(rw, r)"}]},"uuid":"a3f33ba5-18d5-491d-ab24-fda532a06b18","timestamp":"2026-03-18T05:54:37.242Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/auth/auth.go","content":"\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t\tif user != nil {\n\t\t\tctx := context.WithValue(r.Context(), repository.ContextUserKey, user)\n\t\t\tonsuccess.ServeHTTP(rw, r.WithContext(ctx))\n\t\t\treturn\n\t\t}\n\n\t\tcclog.Info(\"auth -> authentication failed\")\n\t\tonfailure(rw, r, errors.New(\"unauthorized (please login first)\"))\n\t})\n}\n\nfunc (auth *Authentication) AuthAPI(\n\tonsuccess http.Handler,\n\tonfailure func(rw http.ResponseWriter, r *http.Request, authErr error),\n) http.Handler {\n\treturn http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\tuser, err := auth.JwtAuth.AuthViaJWT(rw, r)","numLines":20,"startLine":415,"totalLines":644}},"sourceToolAssistantUUID":"a0df7bcf-8c0d-4738-b459-ef6ddf12e031","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9669e1b0-5634-4211-874c-e6727553d73c","version":"2.1.78","gitBranch":"hotfix","slug":"moonlit-kindling-rose"}
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+{"parentUuid":"d49ef3ae-f891-4572-8d2e-761ca6560d36","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01EDcKT1KdkCcrCeFPYV61rA","toolUseID":"toolu_01EDcKT1KdkCcrCeFPYV61rA","timestamp":"2026-03-18T05:54:40.630Z","uuid":"dd6c5669-f183-44f6-8c52-ada903eadbed","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9669e1b0-5634-4211-874c-e6727553d73c","version":"2.1.78","gitBranch":"hotfix","slug":"moonlit-kindling-rose"}
+{"parentUuid":"d49ef3ae-f891-4572-8d2e-761ca6560d36","isSidechain":false,"promptId":"d59532b9-b93b-41d1-974e-b7c671f10548","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EDcKT1KdkCcrCeFPYV61rA","type":"tool_result","content":"   390→\t\t\thttp.RedirectHandler(\"/\", http.StatusFound).ServeHTTP(rw, r.WithContext(ctx))\n   391→\t\t\treturn\n   392→\t\t}\n   393→\n   394→\t\tcclog.Debugf(\"login failed: no authenticator applied\")\n   395→\t\tonfailure(rw, r, errors.New(\"no authenticator applied\"))\n   396→\t})\n   397→}\n   398→\n   399→func (auth *Authentication) Auth(\n   400→\tonsuccess http.Handler,\n   401→\tonfailure func(rw http.ResponseWriter, r *http.Request, authErr error),\n   402→) http.Handler {\n   403→\treturn http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n   404→\t\tuser, err := auth.JwtAuth.AuthViaJWT(rw, r)\n   405→\t\tif err != nil {\n   406→\t\t\tcclog.Infof(\"auth -> authentication failed: %s\", err.Error())\n   407→\t\t\thttp.Error(rw, err.Error(), http.StatusUnauthorized)\n   408→\t\t\treturn\n   409→\t\t}\n   410→\t\tif user == nil {\n   411→\t\t\tuser, err = auth.AuthViaSession(rw, r)\n   412→\t\t\tif err != nil {\n   413→\t\t\t\tcclog.Infof(\"auth -> authentication failed: %s\", err.Error())\n   414→\t\t\t\thttp.Error(rw, err.Error(), http.StatusUnauthorized)\n   415→\t\t\t\treturn\n   416→\t\t\t}\n   417→\t\t}\n   418→\t\tif user != nil {\n   419→\t\t\tctx := context.WithValue(r.Context(), repository.ContextUserKey, user)\n   420→\t\t\tonsuccess.ServeHTTP(rw, r.WithContext(ctx))\n   421→\t\t\treturn\n   422→\t\t}\n   423→\n   424→\t\tcclog.Info(\"auth -> authentication failed\")\n   425→\t\tonfailure(rw, r, errors.New(\"unauthorized (please login first)\"))\n   426→\t})\n   427→}\n   428→\n   429→func (auth *Authentication) AuthAPI("}]},"uuid":"27f48a8b-a2de-4c2f-9aff-92eb93f4b2d3","timestamp":"2026-03-18T05:54:40.629Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/auth/auth.go","content":"\t\t\thttp.RedirectHandler(\"/\", http.StatusFound).ServeHTTP(rw, r.WithContext(ctx))\n\t\t\treturn\n\t\t}\n\n\t\tcclog.Debugf(\"login failed: no authenticator applied\")\n\t\tonfailure(rw, r, errors.New(\"no authenticator applied\"))\n\t})\n}\n\nfunc (auth *Authentication) Auth(\n\tonsuccess http.Handler,\n\tonfailure func(rw http.ResponseWriter, r *http.Request, authErr error),\n) http.Handler {\n\treturn http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\tuser, err := auth.JwtAuth.AuthViaJWT(rw, r)\n\t\tif err != nil {\n\t\t\tcclog.Infof(\"auth -> authentication failed: %s\", err.Error())\n\t\t\thttp.Error(rw, err.Error(), http.StatusUnauthorized)\n\t\t\treturn\n\t\t}\n\t\tif user == nil {\n\t\t\tuser, err = auth.AuthViaSession(rw, r)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Infof(\"auth -> authentication failed: %s\", err.Error())\n\t\t\t\thttp.Error(rw, err.Error(), http.StatusUnauthorized)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t\tif user != nil {\n\t\t\tctx := context.WithValue(r.Context(), repository.ContextUserKey, user)\n\t\t\tonsuccess.ServeHTTP(rw, r.WithContext(ctx))\n\t\t\treturn\n\t\t}\n\n\t\tcclog.Info(\"auth -> authentication failed\")\n\t\tonfailure(rw, r, errors.New(\"unauthorized (please login first)\"))\n\t})\n}\n\nfunc (auth *Authentication) AuthAPI(","numLines":40,"startLine":390,"totalLines":644}},"sourceToolAssistantUUID":"d49ef3ae-f891-4572-8d2e-761ca6560d36","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9669e1b0-5634-4211-874c-e6727553d73c","version":"2.1.78","gitBranch":"hotfix","slug":"moonlit-kindling-rose"}
+{"parentUuid":"27f48a8b-a2de-4c2f-9aff-92eb93f4b2d3","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_015YySujTrGUVMjzJVqH2sAq","type":"message","role":"assistant","content":[{"type":"text","text":"The log at line 424 is hit when both JWT and session auth return no user and no error. Adding the request method, path, and remote address will help diagnose which requests are failing."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1087,"cache_read_input_tokens":19155,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1087},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZA2aRynnMTGsa8ZA5phe","type":"assistant","uuid":"4b9025ac-e75e-47a5-8c26-1374cb51d8b1","timestamp":"2026-03-18T05:54:45.917Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9669e1b0-5634-4211-874c-e6727553d73c","version":"2.1.78","gitBranch":"hotfix","slug":"moonlit-kindling-rose"}
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+{"type":"file-history-snapshot","messageId":"09965c0f-0401-4991-a5ae-ba20685f2449","snapshot":{"messageId":"2be51b7f-c95d-4e37-9a6d-c4dc4175037c","trackedFileBackups":{"internal/auth/auth.go":{"backupFileName":"4b49bf6266df7e09@v1","version":1,"backupTime":"2026-03-18T05:54:47.049Z"}},"timestamp":"2026-03-18T05:54:32.164Z"},"isSnapshotUpdate":true}
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+{"parentUuid":"09965c0f-0401-4991-a5ae-ba20685f2449","isSidechain":false,"promptId":"d59532b9-b93b-41d1-974e-b7c671f10548","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01X5gAQ4TeGwik1RMzBJW6ft","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/auth/auth.go has been updated successfully."}]},"uuid":"4e17c376-47cf-4909-a45b-438d77f84ad1","timestamp":"2026-03-18T05:54:47.053Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/auth/auth.go","oldString":"\t\tcclog.Info(\"auth -> authentication failed\")","newString":"\t\tcclog.Infof(\"auth -> authentication failed: no valid session or JWT for %s %s from %s\", r.Method, r.URL.Path, r.RemoteAddr)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package auth implements various authentication methods\npackage auth\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"crypto/rand\"\n\t\"database/sql\"\n\t\"encoding/base64\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"net\"\n\t\"net/http\"\n\t\"os\"\n\t\"sync\"\n\t\"time\"\n\n\t\"golang.org/x/time/rate\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t\"github.com/gorilla/sessions\"\n)\n\n// Authenticator is the interface for all authentication methods.\n// Each authenticator determines if it can handle a login request (CanLogin)\n// and performs the actual authentication (Login).\ntype Authenticator interface {\n\t// CanLogin determines if this authenticator can handle the login request.\n\t// It returns the user object if available and a boolean indicating if this\n\t// authenticator should attempt the login. This method should not perform\n\t// expensive operations or actual authentication.\n\tCanLogin(user *schema.User, username string, rw http.ResponseWriter, r *http.Request) (*schema.User, bool)\n\n\t// Login performs the actually authentication for the user.\n\t// It returns the authenticated user or an error if authentication fails.\n\t// The user parameter may be nil if the user doesn't exist in the database yet.\n\tLogin(user *schema.User, rw http.ResponseWriter, r *http.Request) (*schema.User, error)\n}\n\nvar (\n\tinitOnce     sync.Once\n\tauthInstance *Authentication\n)\n\n// rateLimiterEntry tracks a rate limiter and its last use time for cleanup\ntype rateLimiterEntry struct {\n\tlimiter  *rate.Limiter\n\tlastUsed time.Time\n}\n\nvar ipUserLimiters sync.Map\n\n// getIPUserLimiter returns a rate limiter for the given IP and username combination.\n// Rate limiters are created on demand and track 5 attempts per 15 minutes.\nfunc getIPUserLimiter(ip, username string) *rate.Limiter {\n\tkey := ip + \":\" + username\n\tnow := time.Now()\n\n\tif entry, ok := ipUserLimiters.Load(key); ok {\n\t\trle := entry.(*rateLimiterEntry)\n\t\trle.lastUsed = now\n\t\treturn rle.limiter\n\t}\n\n\t// More aggressive rate limiting: 5 attempts per 15 minutes\n\tnewLimiter := rate.NewLimiter(rate.Every(15*time.Minute/5), 5)\n\tipUserLimiters.Store(key, &rateLimiterEntry{\n\t\tlimiter:  newLimiter,\n\t\tlastUsed: now,\n\t})\n\treturn newLimiter\n}\n\n// cleanupOldRateLimiters removes rate limiters that haven't been used recently\nfunc cleanupOldRateLimiters(olderThan time.Time) {\n\tipUserLimiters.Range(func(key, value any) bool {\n\t\tentry := value.(*rateLimiterEntry)\n\t\tif entry.lastUsed.Before(olderThan) {\n\t\t\tipUserLimiters.Delete(key)\n\t\t\tcclog.Debugf(\"Cleaned up rate limiter for %v\", key)\n\t\t}\n\t\treturn true\n\t})\n}\n\n// startRateLimiterCleanup starts a background goroutine to clean up old rate limiters\nfunc startRateLimiterCleanup() {\n\tgo func() {\n\t\tticker := time.NewTicker(1 * time.Hour)\n\t\tdefer ticker.Stop()\n\t\tfor range ticker.C {\n\t\t\t// Clean up limiters not used in the last 24 hours\n\t\t\tcleanupOldRateLimiters(time.Now().Add(-24 * time.Hour))\n\t\t}\n\t}()\n}\n\n// AuthConfig contains configuration for all authentication methods\ntype AuthConfig struct {\n\tLdapConfig   *LdapConfig    `json:\"ldap\"`\n\tJwtConfig    *JWTAuthConfig `json:\"jwts\"`\n\tOpenIDConfig *OpenIDConfig  `json:\"oidc\"`\n}\n\n// Keys holds the global authentication configuration\nvar Keys AuthConfig\n\n// Authentication manages all authentication methods and session handling\ntype Authentication struct {\n\tsessionStore   *sessions.CookieStore\n\tLdapAuth       *LdapAuthenticator\n\tJwtAuth        *JWTAuthenticator\n\tLocalAuth      *LocalAuthenticator\n\tauthenticators []Authenticator\n\tSessionMaxAge  time.Duration\n}\n\nfunc (auth *Authentication) AuthViaSession(\n\trw http.ResponseWriter,\n\tr *http.Request,\n) (*schema.User, error) {\n\tsession, err := auth.sessionStore.Get(r, \"session\")\n\tif err != nil {\n\t\tcclog.Error(\"Error while getting session store\")\n\t\treturn nil, err\n\t}\n\n\tif session.IsNew {\n\t\treturn nil, nil\n\t}\n\n\t// Validate session data with proper type checking\n\tusername, ok := session.Values[\"username\"].(string)\n\tif !ok || username == \"\" {\n\t\tcclog.Warn(\"Invalid session: missing or invalid username\")\n\t\t// Invalidate the corrupted session\n\t\tsession.Options.MaxAge = -1\n\t\t_ = auth.sessionStore.Save(r, rw, session)\n\t\treturn nil, errors.New(\"invalid session data\")\n\t}\n\n\tprojects, ok := session.Values[\"projects\"].([]string)\n\tif !ok {\n\t\tcclog.Warn(\"Invalid session: projects not found or invalid type, using empty list\")\n\t\tprojects = []string{}\n\t}\n\n\troles, ok := session.Values[\"roles\"].([]string)\n\tif !ok || len(roles) == 0 {\n\t\tcclog.Warn(\"Invalid session: missing or invalid roles\")\n\t\t// Invalidate the corrupted session\n\t\tsession.Options.MaxAge = -1\n\t\t_ = auth.sessionStore.Save(r, rw, session)\n\t\treturn nil, errors.New(\"invalid session data\")\n\t}\n\n\treturn &schema.User{\n\t\tUsername:   username,\n\t\tProjects:   projects,\n\t\tRoles:      roles,\n\t\tAuthType:   schema.AuthSession,\n\t\tAuthSource: -1,\n\t}, nil\n}\n\nfunc Init(authCfg *json.RawMessage) {\n\tinitOnce.Do(func() {\n\t\tauthInstance = &Authentication{}\n\n\t\t// Start background cleanup of rate limiters\n\t\tstartRateLimiterCleanup()\n\n\t\tsessKey := os.Getenv(\"SESSION_KEY\")\n\t\tif sessKey == \"\" {\n\t\t\tcclog.Warn(\"environment variable 'SESSION_KEY' not set (will use non-persistent random key)\")\n\t\t\tbytes := make([]byte, 32)\n\t\t\tif _, err := rand.Read(bytes); err != nil {\n\t\t\t\tcclog.Fatal(\"Error while initializing authentication -> failed to generate random bytes for session key\")\n\t\t\t}\n\t\t\tauthInstance.sessionStore = sessions.NewCookieStore(bytes)\n\t\t} else {\n\t\t\tbytes, err := base64.StdEncoding.DecodeString(sessKey)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Fatal(\"Error while initializing authentication -> decoding session key failed\")\n\t\t\t}\n\t\t\tauthInstance.sessionStore = sessions.NewCookieStore(bytes)\n\t\t}\n\n\t\tif d, err := time.ParseDuration(config.Keys.SessionMaxAge); err == nil {\n\t\t\tauthInstance.SessionMaxAge = d\n\t\t}\n\n\t\tif authCfg == nil {\n\t\t\treturn\n\t\t}\n\n\t\tconfig.Validate(configSchema, *authCfg)\n\t\tdec := json.NewDecoder(bytes.NewReader(*authCfg))\n\t\tdec.DisallowUnknownFields()\n\t\tif err := dec.Decode(&Keys); err != nil {\n\t\t\tcclog.Errorf(\"error while decoding ldap config: %v\", err)\n\t\t}\n\n\t\tif Keys.LdapConfig != nil {\n\t\t\tldapAuth := &LdapAuthenticator{}\n\t\t\tif err := ldapAuth.Init(); err != nil {\n\t\t\t\tcclog.Warn(\"Error while initializing authentication -> ldapAuth init failed\")\n\t\t\t} else {\n\t\t\t\tauthInstance.LdapAuth = ldapAuth\n\t\t\t\tauthInstance.authenticators = append(authInstance.authenticators, authInstance.LdapAuth)\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Info(\"Missing LDAP configuration: No LDAP support!\")\n\t\t}\n\n\t\tif Keys.JwtConfig != nil {\n\t\t\tauthInstance.JwtAuth = &JWTAuthenticator{}\n\t\t\tif err := authInstance.JwtAuth.Init(); err != nil {\n\t\t\t\tcclog.Fatal(\"Error while initializing authentication -> jwtAuth init failed\")\n\t\t\t}\n\n\t\t\tjwtSessionAuth := &JWTSessionAuthenticator{}\n\t\t\tif err := jwtSessionAuth.Init(); err != nil {\n\t\t\t\tcclog.Info(\"jwtSessionAuth init failed: No JWT login support!\")\n\t\t\t} else {\n\t\t\t\tauthInstance.authenticators = append(authInstance.authenticators, jwtSessionAuth)\n\t\t\t}\n\n\t\t\tjwtCookieSessionAuth := &JWTCookieSessionAuthenticator{}\n\t\t\tif err := jwtCookieSessionAuth.Init(); err != nil {\n\t\t\t\tcclog.Info(\"jwtCookieSessionAuth init failed: No JWT cookie login support!\")\n\t\t\t} else {\n\t\t\t\tauthInstance.authenticators = append(authInstance.authenticators, jwtCookieSessionAuth)\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Info(\"Missing JWT configuration: No JWT token support!\")\n\t\t}\n\n\t\tauthInstance.LocalAuth = &LocalAuthenticator{}\n\t\tif err := authInstance.LocalAuth.Init(); err != nil {\n\t\t\tcclog.Fatal(\"Error while initializing authentication -> localAuth init failed\")\n\t\t}\n\t\tauthInstance.authenticators = append(authInstance.authenticators, authInstance.LocalAuth)\n\t})\n}\n\nfunc GetAuthInstance() *Authentication {\n\tif authInstance == nil {\n\t\tcclog.Fatal(\"Authentication module not initialized!\")\n\t}\n\n\treturn authInstance\n}\n\n// handleUserSync syncs or updates a user in the database based on configuration.\n// This is used for LDAP, JWT and OIDC authentications when syncUserOnLogin or updateUserOnLogin is enabled.\nfunc handleUserSync(user *schema.User, syncUserOnLogin, updateUserOnLogin bool) {\n\tr := repository.GetUserRepository()\n\tdbUser, err := r.GetUser(user.Username)\n\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"Error while loading user '%s': %v\", user.Username, err)\n\t\treturn\n\t}\n\n\tif err == sql.ErrNoRows && syncUserOnLogin { // Add new user\n\t\tif err := r.AddUser(user); err != nil {\n\t\t\tcclog.Errorf(\"Error while adding user '%s' to DB: %v\", user.Username, err)\n\t\t}\n\t} else if err == nil && updateUserOnLogin { // Update existing user\n\t\tif err := r.UpdateUser(dbUser, user); err != nil {\n\t\t\tcclog.Errorf(\"Error while updating user '%s' in DB: %v\", dbUser.Username, err)\n\t\t}\n\t}\n}\n\n// handleTokenUser syncs JWT token user with database\nfunc handleTokenUser(tokenUser *schema.User) {\n\thandleUserSync(tokenUser, Keys.JwtConfig.SyncUserOnLogin, Keys.JwtConfig.UpdateUserOnLogin)\n}\n\n// handleOIDCUser syncs OIDC user with database\nfunc handleOIDCUser(OIDCUser *schema.User) {\n\thandleUserSync(OIDCUser, Keys.OpenIDConfig.SyncUserOnLogin, Keys.OpenIDConfig.UpdateUserOnLogin)\n}\n\n// handleLdapUser syncs LDAP user with database\nfunc handleLdapUser(ldapUser *schema.User) {\n\thandleUserSync(ldapUser, Keys.LdapConfig.SyncUserOnLogin, Keys.LdapConfig.UpdateUserOnLogin)\n}\n\nfunc (auth *Authentication) SaveSession(rw http.ResponseWriter, r *http.Request, user *schema.User) error {\n\tsession, err := auth.sessionStore.New(r, \"session\")\n\tif err != nil {\n\t\tcclog.Errorf(\"session creation failed: %s\", err.Error())\n\t\thttp.Error(rw, err.Error(), http.StatusInternalServerError)\n\t\treturn err\n\t}\n\n\tif auth.SessionMaxAge != 0 {\n\t\tsession.Options.MaxAge = int(auth.SessionMaxAge.Seconds())\n\t}\n\tif r.TLS == nil && r.Header.Get(\"X-Forwarded-Proto\") != \"https\" {\n\t\t// If neither TLS or an encrypted reverse proxy are used, do not mark cookies as secure.\n\t\tcclog.Warn(\"Authenticating with unencrypted request. Session cookies will not have Secure flag set (insecure for production)\")\n\t\tif r.Header.Get(\"X-Forwarded-Proto\") == \"\" {\n\t\t\t// This warning will not be printed if e.g. X-Forwarded-Proto == http\n\t\t\tcclog.Warn(\"If you are using a reverse proxy, make sure X-Forwarded-Proto is set\")\n\t\t}\n\t\tsession.Options.Secure = false\n\t}\n\tsession.Options.SameSite = http.SameSiteStrictMode\n\tsession.Values[\"username\"] = user.Username\n\tsession.Values[\"projects\"] = user.Projects\n\tsession.Values[\"roles\"] = user.Roles\n\tif err := auth.sessionStore.Save(r, rw, session); err != nil {\n\t\tcclog.Warnf(\"session save failed: %s\", err.Error())\n\t\thttp.Error(rw, err.Error(), http.StatusInternalServerError)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (auth *Authentication) Login(\n\tonfailure func(rw http.ResponseWriter, r *http.Request, loginErr error),\n) http.Handler {\n\treturn http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\tip, _, err := net.SplitHostPort(r.RemoteAddr)\n\t\tif err != nil {\n\t\t\tip = r.RemoteAddr\n\t\t}\n\n\t\tusername := r.FormValue(\"username\")\n\n\t\tlimiter := getIPUserLimiter(ip, username)\n\t\tif !limiter.Allow() {\n\t\t\tcclog.Warnf(\"AUTH/RATE > Too many login attempts for combination IP: %s, Username: %s\", ip, username)\n\t\t\tonfailure(rw, r, errors.New(\"too many login attempts, try again in a few minutes\"))\n\t\t\treturn\n\t\t}\n\n\t\tvar dbUser *schema.User\n\t\tif username != \"\" {\n\t\t\tvar err error\n\t\t\tdbUser, err = repository.GetUserRepository().GetUser(username)\n\t\t\tif err != nil && err != sql.ErrNoRows {\n\t\t\t\tcclog.Errorf(\"Error while loading user '%v'\", username)\n\t\t\t}\n\t\t}\n\n\t\tfor _, authenticator := range auth.authenticators {\n\t\t\tvar ok bool\n\t\t\tvar user *schema.User\n\t\t\tif user, ok = authenticator.CanLogin(dbUser, username, rw, r); !ok {\n\t\t\t\tcontinue\n\t\t\t} else {\n\t\t\t\tcclog.Debugf(\"Can login with user %v\", user)\n\t\t\t}\n\n\t\t\tuser, err := authenticator.Login(user, rw, r)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Warnf(\"user login failed: %s\", err.Error())\n\t\t\t\tonfailure(rw, r, err)\n\t\t\t\treturn\n\t\t\t}\n\n\t\t\tif err := auth.SaveSession(rw, r, user); err != nil {\n\t\t\t\treturn\n\t\t\t}\n\n\t\t\tcclog.Infof(\"login successfull: user: %#v (roles: %v, projects: %v)\", user.Username, user.Roles, user.Projects)\n\t\t\tctx := context.WithValue(r.Context(), repository.ContextUserKey, user)\n\n\t\t\tif r.FormValue(\"redirect\") != \"\" {\n\t\t\t\thttp.RedirectHandler(r.FormValue(\"redirect\"), http.StatusFound).ServeHTTP(rw, r.WithContext(ctx))\n\t\t\t\treturn\n\t\t\t}\n\n\t\t\thttp.RedirectHandler(\"/\", http.StatusFound).ServeHTTP(rw, r.WithContext(ctx))\n\t\t\treturn\n\t\t}\n\n\t\tcclog.Debugf(\"login failed: no authenticator applied\")\n\t\tonfailure(rw, r, errors.New(\"no authenticator applied\"))\n\t})\n}\n\nfunc (auth *Authentication) Auth(\n\tonsuccess http.Handler,\n\tonfailure func(rw http.ResponseWriter, r *http.Request, authErr error),\n) http.Handler {\n\treturn http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\tuser, err := auth.JwtAuth.AuthViaJWT(rw, r)\n\t\tif err != nil {\n\t\t\tcclog.Infof(\"auth -> authentication failed: %s\", err.Error())\n\t\t\thttp.Error(rw, err.Error(), http.StatusUnauthorized)\n\t\t\treturn\n\t\t}\n\t\tif user == nil {\n\t\t\tuser, err = auth.AuthViaSession(rw, r)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Infof(\"auth -> authentication failed: %s\", err.Error())\n\t\t\t\thttp.Error(rw, err.Error(), http.StatusUnauthorized)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t\tif user != nil {\n\t\t\tctx := context.WithValue(r.Context(), repository.ContextUserKey, user)\n\t\t\tonsuccess.ServeHTTP(rw, r.WithContext(ctx))\n\t\t\treturn\n\t\t}\n\n\t\tcclog.Info(\"auth -> authentication failed\")\n\t\tonfailure(rw, r, errors.New(\"unauthorized (please login first)\"))\n\t})\n}\n\nfunc (auth *Authentication) AuthAPI(\n\tonsuccess http.Handler,\n\tonfailure func(rw http.ResponseWriter, r *http.Request, authErr error),\n) http.Handler {\n\treturn http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\tuser, err := auth.JwtAuth.AuthViaJWT(rw, r)\n\t\tif err != nil {\n\t\t\tcclog.Infof(\"auth api -> authentication failed: %s\", err.Error())\n\t\t\tonfailure(rw, r, err)\n\t\t\treturn\n\t\t}\n\n\t\tipErr := securedCheck(user, r)\n\t\tif ipErr != nil {\n\t\t\tcclog.Infof(\"auth api -> secured check failed: %s\", ipErr.Error())\n\t\t\tonfailure(rw, r, ipErr)\n\t\t\treturn\n\t\t}\n\n\t\tif user != nil {\n\t\t\tswitch {\n\t\t\tcase len(user.Roles) == 1:\n\t\t\t\tif user.HasRole(schema.RoleAPI) {\n\t\t\t\t\tctx := context.WithValue(r.Context(), repository.ContextUserKey, user)\n\t\t\t\t\tonsuccess.ServeHTTP(rw, r.WithContext(ctx))\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\tcase len(user.Roles) >= 2:\n\t\t\t\tif user.HasAllRoles([]schema.Role{schema.RoleAdmin, schema.RoleAPI}) {\n\t\t\t\t\tctx := context.WithValue(r.Context(), repository.ContextUserKey, user)\n\t\t\t\t\tonsuccess.ServeHTTP(rw, r.WithContext(ctx))\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\tdefault:\n\t\t\t\tcclog.Info(\"auth api -> authentication failed: missing role\")\n\t\t\t\tonfailure(rw, r, errors.New(\"unauthorized\"))\n\t\t\t}\n\t\t}\n\t\tcclog.Info(\"auth api -> authentication failed: no auth\")\n\t\tonfailure(rw, r, errors.New(\"unauthorized\"))\n\t})\n}\n\nfunc (auth *Authentication) AuthUserAPI(\n\tonsuccess http.Handler,\n\tonfailure func(rw http.ResponseWriter, r *http.Request, authErr error),\n) http.Handler {\n\treturn http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\tuser, err := auth.JwtAuth.AuthViaJWT(rw, r)\n\t\tif err != nil {\n\t\t\tcclog.Infof(\"auth user api -> authentication failed: %s\", err.Error())\n\t\t\tonfailure(rw, r, err)\n\t\t\treturn\n\t\t}\n\n\t\tif user != nil {\n\t\t\tswitch {\n\t\t\tcase len(user.Roles) == 1:\n\t\t\t\tif user.HasRole(schema.RoleAPI) {\n\t\t\t\t\tctx := context.WithValue(r.Context(), repository.ContextUserKey, user)\n\t\t\t\t\tonsuccess.ServeHTTP(rw, r.WithContext(ctx))\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\tcase len(user.Roles) >= 2:\n\t\t\t\tif user.HasRole(schema.RoleAPI) && user.HasAnyRole([]schema.Role{schema.RoleUser, schema.RoleManager, schema.RoleSupport, schema.RoleAdmin}) {\n\t\t\t\t\tctx := context.WithValue(r.Context(), repository.ContextUserKey, user)\n\t\t\t\t\tonsuccess.ServeHTTP(rw, r.WithContext(ctx))\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\tdefault:\n\t\t\t\tcclog.Info(\"auth user api -> authentication failed: missing role\")\n\t\t\t\tonfailure(rw, r, errors.New(\"unauthorized\"))\n\t\t\t}\n\t\t}\n\t\tcclog.Info(\"auth user api -> authentication failed: no auth\")\n\t\tonfailure(rw, r, errors.New(\"unauthorized\"))\n\t})\n}\n\nfunc (auth *Authentication) AuthMetricStoreAPI(\n\tonsuccess http.Handler,\n\tonfailure func(rw http.ResponseWriter, r *http.Request, authErr error),\n) http.Handler {\n\treturn http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\tuser, err := auth.JwtAuth.AuthViaJWT(rw, r)\n\t\tif err != nil {\n\t\t\tcclog.Infof(\"auth metricstore api -> authentication failed: %s\", err.Error())\n\t\t\tonfailure(rw, r, err)\n\t\t\treturn\n\t\t}\n\n\t\tif user != nil {\n\t\t\tswitch {\n\t\t\tcase len(user.Roles) == 1:\n\t\t\t\tif user.HasRole(schema.RoleAPI) {\n\t\t\t\t\tctx := context.WithValue(r.Context(), repository.ContextUserKey, user)\n\t\t\t\t\tonsuccess.ServeHTTP(rw, r.WithContext(ctx))\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\tcase len(user.Roles) >= 2:\n\t\t\t\tif user.HasRole(schema.RoleAPI) && user.HasAnyRole([]schema.Role{schema.RoleUser, schema.RoleManager, schema.RoleAdmin}) {\n\t\t\t\t\tctx := context.WithValue(r.Context(), repository.ContextUserKey, user)\n\t\t\t\t\tonsuccess.ServeHTTP(rw, r.WithContext(ctx))\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\tdefault:\n\t\t\t\tcclog.Info(\"auth metricstore api -> authentication failed: missing role\")\n\t\t\t\tonfailure(rw, r, errors.New(\"unauthorized\"))\n\t\t\t}\n\t\t}\n\t\tcclog.Info(\"auth metricstore api -> authentication failed: no auth\")\n\t\tonfailure(rw, r, errors.New(\"unauthorized\"))\n\t})\n}\n\nfunc (auth *Authentication) AuthConfigAPI(\n\tonsuccess http.Handler,\n\tonfailure func(rw http.ResponseWriter, r *http.Request, authErr error),\n) http.Handler {\n\treturn http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\tuser, err := auth.AuthViaSession(rw, r)\n\t\tif err != nil {\n\t\t\tcclog.Infof(\"auth config api -> authentication failed: %s\", err.Error())\n\t\t\tonfailure(rw, r, err)\n\t\t\treturn\n\t\t}\n\t\tif user != nil && user.HasRole(schema.RoleAdmin) {\n\t\t\tctx := context.WithValue(r.Context(), repository.ContextUserKey, user)\n\t\t\tonsuccess.ServeHTTP(rw, r.WithContext(ctx))\n\t\t\treturn\n\t\t}\n\t\tcclog.Info(\"auth config api -> authentication failed: no auth\")\n\t\tonfailure(rw, r, errors.New(\"unauthorized\"))\n\t})\n}\n\nfunc (auth *Authentication) AuthFrontendAPI(\n\tonsuccess http.Handler,\n\tonfailure func(rw http.ResponseWriter, r *http.Request, authErr error),\n) http.Handler {\n\treturn http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\tuser, err := auth.AuthViaSession(rw, r)\n\t\tif err != nil {\n\t\t\tcclog.Infof(\"auth frontend api -> authentication failed: %s\", err.Error())\n\t\t\tonfailure(rw, r, err)\n\t\t\treturn\n\t\t}\n\t\tif user != nil {\n\t\t\tctx := context.WithValue(r.Context(), repository.ContextUserKey, user)\n\t\t\tonsuccess.ServeHTTP(rw, r.WithContext(ctx))\n\t\t\treturn\n\t\t}\n\t\tcclog.Info(\"auth frontend api -> authentication failed: no auth\")\n\t\tonfailure(rw, r, errors.New(\"unauthorized\"))\n\t})\n}\n\nfunc (auth *Authentication) Logout(onsuccess http.Handler) http.Handler {\n\treturn http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\tsession, err := auth.sessionStore.Get(r, \"session\")\n\t\tif err != nil {\n\t\t\thttp.Error(rw, err.Error(), http.StatusInternalServerError)\n\t\t\treturn\n\t\t}\n\n\t\tif !session.IsNew {\n\t\t\tsession.Options.MaxAge = -1\n\t\t\tif err := auth.sessionStore.Save(r, rw, session); err != nil {\n\t\t\t\thttp.Error(rw, err.Error(), http.StatusInternalServerError)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\n\t\tonsuccess.ServeHTTP(rw, r)\n\t})\n}\n\n// Helper Moved To MiddleWare Auth Handlers\nfunc securedCheck(user *schema.User, r *http.Request) error {\n\tif user == nil {\n\t\treturn fmt.Errorf(\"no user for secured check\")\n\t}\n\n\t// extract IP address for checking\n\tIPAddress := r.Header.Get(\"X-Real-Ip\")\n\tif IPAddress == \"\" {\n\t\tIPAddress = r.Header.Get(\"X-Forwarded-For\")\n\t}\n\tif IPAddress == \"\" {\n\t\tIPAddress = r.RemoteAddr\n\t}\n\n\t// Handle both IPv4 and IPv6 addresses properly\n\t// For IPv6, this will strip the port and brackets\n\t// For IPv4, this will strip the port\n\tif host, _, err := net.SplitHostPort(IPAddress); err == nil {\n\t\tIPAddress = host\n\t}\n\t// If SplitHostPort fails, IPAddress is already just a host (no port)\n\n\t// If nothing declared in config: Continue\n\tif len(config.Keys.APIAllowedIPs) == 0 {\n\t\treturn nil\n\t}\n\t// If wildcard declared in config: Continue\n\tif config.Keys.APIAllowedIPs[0] == \"*\" {\n\t\treturn nil\n\t}\n\t// check if IP is allowed\n\tif !util.Contains(config.Keys.APIAllowedIPs, IPAddress) {\n\t\treturn fmt.Errorf(\"unknown ip: %v\", IPAddress)\n\t}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":421,"oldLines":7,"newStart":421,"newLines":7,"lines":["       return","     }"," ","-    cclog.Info(\"auth -> authentication failed\")","+    cclog.Infof(\"auth -> authentication failed: no valid session or JWT for %s %s from %s\", r.Method, r.URL.Path, r.RemoteAddr)","     onfailure(rw, r, errors.New(\"unauthorized (please login first)\"))","   })"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"09965c0f-0401-4991-a5ae-ba20685f2449","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9669e1b0-5634-4211-874c-e6727553d73c","version":"2.1.78","gitBranch":"hotfix","slug":"moonlit-kindling-rose"}
+{"parentUuid":"4e17c376-47cf-4909-a45b-438d77f84ad1","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Ut1U2WgRWRhg4ttCYkzLR9","type":"message","role":"assistant","content":[{"type":"text","text":"The log message now includes the HTTP method, request path, and remote address, making it much easier to diagnose which unauthenticated requests are being rejected."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":270,"cache_read_input_tokens":20242,"output_tokens":37,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":270,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZA2aubhs67khi93UiVDk","type":"assistant","uuid":"727e5e2b-130c-49ed-a9e1-0b9e789596d1","timestamp":"2026-03-18T05:54:50.530Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9669e1b0-5634-4211-874c-e6727553d73c","version":"2.1.78","gitBranch":"hotfix","slug":"moonlit-kindling-rose"}
+{"parentUuid":"727e5e2b-130c-49ed-a9e1-0b9e789596d1","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"Stop","hookName":"Stop","command":"entire hooks claude-code stop"},"parentToolUseID":"e2df4868-08f9-4675-ab58-701972ad14e6","toolUseID":"e2df4868-08f9-4675-ab58-701972ad14e6","timestamp":"2026-03-18T05:54:50.559Z","uuid":"1eaeab81-b4b1-4e96-be83-f78ac1965552","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9669e1b0-5634-4211-874c-e6727553d73c","version":"2.1.78","gitBranch":"hotfix","slug":"moonlit-kindling-rose"}
+{"parentUuid":"1eaeab81-b4b1-4e96-be83-f78ac1965552","isSidechain":false,"type":"system","subtype":"stop_hook_summary","hookCount":1,"hookInfos":[{"command":"entire hooks claude-code stop","durationMs":465}],"hookErrors":[],"preventedContinuation":false,"stopReason":"","hasOutput":false,"level":"suggestion","timestamp":"2026-03-18T05:54:51.024Z","uuid":"7756ae00-36bd-473a-8966-12e6004d2ed0","toolUseID":"e2df4868-08f9-4675-ab58-701972ad14e6","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9669e1b0-5634-4211-874c-e6727553d73c","version":"2.1.78","gitBranch":"hotfix","slug":"moonlit-kindling-rose"}
diff --git a/21/87cd89cb78/0/metadata.json b/21/87cd89cb78/0/metadata.json
new file mode 100644
index 00000000..393dfeeb
--- /dev/null
+++ b/21/87cd89cb78/0/metadata.json
@@ -0,0 +1,33 @@
+{
+  "cli_version": "0.5.0",
+  "checkpoint_id": "2187cd89cb78",
+  "session_id": "9669e1b0-5634-4211-874c-e6727553d73c",
+  "strategy": "manual-commit",
+  "created_at": "2026-03-18T05:56:01.203449Z",
+  "branch": "hotfix",
+  "checkpoints_count": 1,
+  "files_touched": [
+    "internal/auth/auth.go"
+  ],
+  "agent": "Claude Code",
+  "turn_id": "8f257da7b4b1",
+  "token_usage": {
+    "input_tokens": 6,
+    "cache_creation_tokens": 12255,
+    "cache_read_tokens": 67218,
+    "output_tokens": 498,
+    "api_call_count": 4
+  },
+  "session_metrics": {
+    "turn_count": 1
+  },
+  "initial_attribution": {
+    "calculated_at": "2026-03-18T05:56:01.16919Z",
+    "agent_lines": 1,
+    "human_added": 0,
+    "human_modified": 0,
+    "human_removed": 0,
+    "total_committed": 1,
+    "agent_percentage": 100
+  }
+}
diff --git a/21/87cd89cb78/0/prompt.txt b/21/87cd89cb78/0/prompt.txt
new file mode 100644
index 00000000..03757cdb
--- /dev/null
+++ b/21/87cd89cb78/0/prompt.txt
@@ -0,0 +1 @@
+Add more context information to the log message at line 424
\ No newline at end of file
diff --git a/21/87cd89cb78/metadata.json b/21/87cd89cb78/metadata.json
new file mode 100644
index 00000000..e0ff1b7b
--- /dev/null
+++ b/21/87cd89cb78/metadata.json
@@ -0,0 +1,25 @@
+{
+  "cli_version": "0.5.0",
+  "checkpoint_id": "2187cd89cb78",
+  "strategy": "manual-commit",
+  "branch": "hotfix",
+  "checkpoints_count": 1,
+  "files_touched": [
+    "internal/auth/auth.go"
+  ],
+  "sessions": [
+    {
+      "metadata": "/21/87cd89cb78/0/metadata.json",
+      "transcript": "/21/87cd89cb78/0/full.jsonl",
+      "content_hash": "/21/87cd89cb78/0/content_hash.txt",
+      "prompt": "/21/87cd89cb78/0/prompt.txt"
+    }
+  ],
+  "token_usage": {
+    "input_tokens": 6,
+    "cache_creation_tokens": 12255,
+    "cache_read_tokens": 67218,
+    "output_tokens": 498,
+    "api_call_count": 4
+  }
+}
diff --git a/30/099a746fc7/0/content_hash.txt b/30/099a746fc7/0/content_hash.txt
new file mode 100644
index 00000000..112e886f
--- /dev/null
+++ b/30/099a746fc7/0/content_hash.txt
@@ -0,0 +1 @@
+sha256:6c921c14791fd15faaa59e33d3fb2c4caba08064b0ce07aa69e21a4d3656e4fb
\ No newline at end of file
diff --git a/30/099a746fc7/0/full.jsonl b/30/099a746fc7/0/full.jsonl
new file mode 100644
index 00000000..83e8d7c8
--- /dev/null
+++ b/30/099a746fc7/0/full.jsonl
@@ -0,0 +1,44 @@
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Depending on your database size (more then 40GB) the\n    13→`VACUUM` may take up to 2h. You can also run the `ANALYZE` command manually.\n    14→While we are confident that the memory issue with the metricstore cleanup move\n    15→policy is fixed, it is still recommended to use delete policy for cleanup.\n    16→This is also the default.\n    17→\n    18→## Changes in 1.5.2\n    19→\n    20→### Bug fixes\n    21→\n    22→- **Memory spike in parquet writer**: Fixed memory spikes when using the\n    23→  metricstore move (archive) policy with the parquet writer. The writer now\n    24→  processes data in a streaming fashion to avoid accumulating large allocations.\n    25→\n    26→### Database performance\n    27→\n    28→- **Reduced insert pressure**: Bulk insert operations (node state updates, user\n    29→  and job cache syncs) now use explicit transactions and deferred inserts,\n    30→  significantly reducing write contention on the SQLite database.\n    31→- **SyncJobs wrapped in transaction**: `SyncJobs` now runs inside a transaction\n    32→  for better consistency and reduced lock contention.\n    33→- **Configurable busy timeout**: New `busy-timeout` configuration option for the\n    34→  SQLite connection. This allows tuning how long the driver waits for a locked\n    35→  database before returning an error, which improves resilience under concurrent\n    36→  write load.\n    37→- **Increased default SQLite timeout**: The default SQLite connection timeout\n    38→  has been raised to reduce spurious timeout errors under load.\n    39→\n    40→### NATS API\n    41→\n    42→- **Nodestate health checks in NATS API**: The NATS node state handler now\n    43→  performs the same metric health checks as the REST API handler, including\n    44→  per-subcluster health checks and `MonitoringStateFailed` fallback for nodes\n    45→  without health data.\n    46→\n    47→### Logging improvements\n    48→\n    49→- **Better error context**: Several repository functions now include the calling\n    50→  function name in error messages for easier diagnosis.\n    51→- **Reduced log noise**: `ErrNoRows` (no results found) is no longer logged as\n    52→  an error in `scanRow`; common \"no rows\" paths are now silent.\n    53→- **Debug-level missing metrics**: Warning about missing metrics in the metric\n    54→  store has been downgraded to debug level to reduce log noise in normal\n    55→  operation.\n    56→- **Checkpoint archiving log**: Added an informational log message when the\n    57→  metricstore checkpoint archiving process runs.\n    58→\n    59→### Dependencies\n    60→\n    61→- **cc-lib upgraded**: Updated to latest cc-lib version.\n    62→\n    63→## Known issues\n    64→\n    65→- The new dynamic memory management is not bullet proof yet across restarts.\n    66→  Buffers that are kept outside the retention period may be lost across a\n    67→  restart. We will fix that in a subsequent patch release.\n    68→- To use the new log viewer (which is only working when starting cc-backend with\n    69→  systemd) in the admin interface the user under which the cc-backend process is\n    70→  running has to be allowed to execute the journalctl command.\n    71→- The user configuration keys for the ui have changed. Therefore old user\n    72→  configuration persisted in the database is not used anymore. It is recommended\n    73→  to configure the metrics shown in the ui-config sestion and remove all records\n    74→  in the table after the update.\n    75→- Currently energy footprint metrics of type energy are ignored for calculating\n    76→  total energy.\n    77→- With energy footprint metrics of type power the unit is ignored and it is\n    78→  assumed the metric has the unit Watt.\n    79→\n    80→## Changes in 1.5.1\n    81→\n    82→### Database\n    83→\n    84→- **New migration (version 11)**: Optimized database index count and added covering indexes for stats queries for significantly improved query performance\n    85→- **Migration 9 fix**: Removed redundant indices from migration 9 that are superseded by migration 11\n    86→- **Optional DB optimization flag**: Added `-optimize-db` CLI flag to run `ANALYZE` on demand; removed automatic ANALYZE on startup\n    87→- **Selective stats queries**: Stats queries are now selective, reducing unnecessary computation\n    88→- **User list paging**: Added paging support to the user list for better scalability\n    89→- **SQLite configuration hardening**: Sanitized SQLite configuration with new configurable options; fixes large heap allocations in the SQLite driver\n    90→- **Query cancellation**: Long-running database queries can now be cancelled\n    91→- **Resource leak fix**: Added missing `defer Close()` calls for all query result sets\n    92→\n    93→### Bug fixes\n    94→\n    95→- **Segfault when taggers misconfigured**: Fixed crash when `enable-job-taggers` is set but tagger rule directories are missing\n    96→- **GroupBy stats query complexity**: Reduced complexity for `groupBy` statistics queries\n    97→- **Ranged filter conditions**: Fixed GT and LT conditions in ranged filters\n    98→- **Energy filter preset**: Reduced energy filter preset to a more practical default\n    99→- **JSON validity check**: Fixed wrong field being checked for JSON validity\n   100→- **Tagger float rounding**: Fixed rounding of floats in tagger messages\n   101→- **Node view null safety**: Added null-safe checks in node view to prevent runtime errors\n   102→- **Public dashboard null safety**: Added null-safe checks in the public dashboard to prevent runtime errors\n   103→\n   104→### Frontend\n   105→\n   106→- **Bumped patch versions**: Updated frontend dependencies to latest patch versions\n   107→\n   108→### Documentation\n   109→\n   110→- **New DB config options**: Added new database configuration options to README\n   111→\n   112→---\n   113→\n   114→_The sections below document all features and changes introduced in the 1.5.0 major release, which 1.5.1 is based on._\n   115→\n   116→## Breaking changes\n   117→\n   118→### Configuration changes\n   119→\n   120→- **JSON attribute naming**: All JSON configuration attributes now use `kebab-case`\n   121→  style consistently (e.g., `api-allowed-ips` instead of `apiAllowedIPs`).\n   122→  Update your `config.json` accordingly.\n   123→- **Removed `disable-archive` option**: This obsolete configuration option has been removed.\n   124→- **Removed `clusters` config section**: The separate clusters configuration section\n   125→  has been removed. Cluster information is now derived from the job archive.\n   126→- **`apiAllowedIPs` is now optional**: If not specified, defaults to not\n   127→  restricted.\n   128→\n   129→### Architecture changes\n   130→\n   131→- **Web framework replaced**: Migrated from `gorilla/mux` to `chi` as the HTTP\n   132→  router. This should be transparent to users but affects how middleware and\n   133→  routes are composed. A proper 404 handler is now in place.\n   134→- **MetricStore moved**: The `metricstore` package has been moved from `internal/`\n   135→  to `pkg/` as it is now part of the public API.\n   136→- **MySQL/MariaDB support removed**: Only SQLite is now supported as the database backend.\n   137→- **Archive to Cleanup renaming**: Archive-related functions have been refactored\n   138→  and renamed to \"Cleanup\" for clarity.\n   139→- **`minRunningFor` filter removed**: This undocumented filter has been removed\n   140→  from the API and frontend.\n   141→\n   142→### Dependency changes\n   143→\n   144→- **cc-lib v2.8.0**: Switched to cc-lib version 2 with updated APIs\n   145→- **cclib NATS client**: Now using the cclib NATS client implementation\n   146→- Removed obsolete `util.Float` usage from cclib\n   147→\n   148→## Major new features\n   149→\n   150→### NATS API Integration\n   151→\n   152→- **Real-time job events**: Subscribe to job start/stop events via NATS\n   153→- **Node state updates**: Receive real-time node state changes via NATS\n   154→- **Configurable subjects**: NATS API subjects are now configurable via `api-subjects`\n   155→- **Deadlock fixes**: Improved NATS client stability and graceful shutdown\n   156→\n   157→### Public Dashboard\n   158→\n   159→- **Public-facing interface**: New public dashboard route for external users\n   160→- **DoubleMetricPlot component**: New visualization component for comparing metrics\n   161→- **Improved layout**: Reviewed and optimized dashboard layouts for better readability\n   162→\n   163→### Enhanced Node Management\n   164→\n   165→- **Node state tracking**: New node table in database with timestamp tracking\n   166→- **Node state filtering**: Filter jobs by node state in systems view\n   167→- **Node list enhancements**: Improved paging, filtering, and continuous scroll support\n   168→- **Nodestate retention and archiving**: Node state data is now subject to configurable\n   169→  retention policies and can be archived to Parquet format for long-term storage\n   170→- **Faulty node metric tracking**: Faulty node state metric lists are persisted to the database\n   171→\n   172→### Health Monitoring\n   173→\n   174→- **Health status dashboard**: New dedicated \"Health\" tab in the status details view\n   175→  showing per-node metric health across the cluster\n   176→- **CCMS health check**: Support for querying health status of external\n   177→  cc-metric-store (CCMS) instances via the API\n   178→- **GraphQL health endpoints**: New GraphQL queries and resolvers for health data\n   179→- **Cluster/subcluster filter**: Filter health status view by cluster or subcluster\n   180→\n   181→### Log Viewer\n   182→\n   183→- **Web-based log viewer**: New log viewer page in the admin interface for inspecting\n   184→  backend log output directly from the browser without shell access\n   185→- **Accessible from header**: Quick access link from the navigation header\n   186→\n   187→### MetricStore Improvements\n   188→\n   189→- **Memory tracking worker**: New worker for CCMS memory usage tracking\n   190→- **Dynamic retention**: Support for job specific dynamic retention times\n   191→- **Improved compression**: Transparent compression for job archive imports\n   192→- **Parallel processing**: Parallelized Iter function in all archive backends\n   193→\n   194→### Job Tagging System\n   195→\n   196→- **Job tagger option**: Enable automatic job tagging via configuration flag\n   197→- **Application detection**: Automatic detection of applications (MATLAB, GROMACS, etc.)\n   198→- **Job classification**: Automatic detection of pathological jobs\n   199→- **omit-tagged**: Option to exclude tagged jobs from retention/cleanup operations (`none`, `all`, or `user`)\n   200→- **Admin UI trigger**: Taggers can be run on-demand from the admin web interface\n   201→  without restarting the backend\n   202→\n   203→### Archive Backends\n   204→\n   205→- **Parquet archive format**: New Parquet file format for job archiving, providing\n   206→  columnar storage with efficient compression for analytical workloads\n   207→- **S3 backend**: Full support for S3-compatible object storage\n   208→- **SQLite backend**: Full support for SQLite backend using blobs\n   209→- **Performance improvements**: Fixed performance bugs in archive backends\n   210→- **Better error handling**: Improved error messages and fallback handling\n   211→- **Zstd compression**: Parquet writers use zstd compression for better\n   212→  compression ratios compared to the previous snappy default\n   213→- **Optimized sort order**: Job and nodestate Parquet files are sorted by\n   214→  cluster, subcluster, and start time for efficient range queries\n   215→\n   216→### Unified Archive Retention and Format Conversion\n   217→\n   218→- **Uniform retention policy**: Job archive retention now supports both JSON and\n   219→  Parquet as target formats under a single, consistent policy configuration\n   220→- **Archive manager tool**: The `tools/archive-manager` utility now supports\n   221→  format conversion between JSON and Parquet job archives\n   222→- **Parquet reader**: Full Parquet archive reader implementation for reading back\n   223→  archived job data\n   224→\n   225→## New features and improvements\n   226→\n   227→### Frontend\n   228→\n   229→- **Loading indicators**: Added loading indicators to status detail and job lists\n   230→- **Job info layout**: Reviewed and improved job info row layout\n   231→- **Metric selection**: Enhanced metric selection with drag-and-drop fixes\n   232→- **Filter presets**: Move list filter preset to URL for easy sharing\n   233→- **Job comparison**: Improved job comparison views and plots\n   234→- **Subcluster reactivity**: Job list now reacts to subcluster filter changes\n   235→- **Short jobs quick selection**: New \"Short jobs\" quick-filter button in job lists\n   236→  replaces the removed undocumented `minRunningFor` filter\n   237→- **Row plot cursor sync**: Cursor position is now synchronized across all metric\n   238→  plots in a job list row for easier cross-metric comparison\n   239→- **Disabled metrics handling**: Improved handling and display of disabled metrics\n   240→  across job view, node view, and list rows\n   241→- **\"Not configured\" info cards**: Informational cards shown when optional features\n   242→  are not yet configured\n   243→- **Frontend dependencies**: Bumped frontend dependencies to latest versions\n   244→- **Svelte 5 compatibility**: Fixed Svelte state warnings and compatibility issues\n   245→\n   246→### Backend\n   247→\n   248→- **Progress bars**: Import function now shows progress during long operations\n   249→- **Better logging**: Improved logging with appropriate log levels throughout\n   250→- **Graceful shutdown**: Fixed shutdown timeout bugs and hanging issues\n   251→- **Configuration defaults**: Sensible defaults for most configuration options\n   252→- **Documentation**: Extensive documentation improvements across packages\n   253→- **Server flag in systemd unit**: Example systemd unit now includes the `-server` flag\n   254→\n   255→### Security\n   256→\n   257→- **LDAP security hardening**: Improved input validation, connection handling, and\n   258→  error reporting in the LDAP authenticator\n   259→- **OIDC security hardening**: Stricter token validation and improved error handling\n   260→  in the OIDC authenticator\n   261→- **Auth schema extensions**: Additional schema fields for improved auth configuration\n   262→\n   263→### API improvements\n   264→\n   265→- **Role-based metric visibility**: Metrics can now have role-based access control\n   266→- **Job exclusivity filter**: New filter for exclusive vs. shared jobs\n   267→- **Improved error messages**: Better error messages and documentation in REST API\n   268→- **GraphQL enhancements**: Improved GraphQL queries and resolvers\n   269→- **Stop job lookup order**: Reversed lookup order in stop job requests for\n   270→  more reliable job matching (cluster+jobId first, then jobId alone)\n   271→\n   272→### Performance\n   273→\n   274→- **Database indices**: Optimized SQLite indices for better query performance\n   275→- **Job cache**: Introduced caching table for faster job inserts\n   276→- **Parallel imports**: Archive imports now run in parallel where possible\n   277→- **External tool integration**: Optimized use of external tools (fd) for better performance\n   278→- **Node repository queries**: Reviewed and optimized node repository SQL queries\n   279→- **Buffer pool**: Resized and pooled internal buffers for better memory reuse\n   280→\n   281→### Developer experience\n   282→\n   283→- **AI agent guidelines**: Added documentation for AI coding agents (AGENTS.md, CLAUDE.md)\n   284→- **Example API payloads**: Added example JSON API payloads for testing\n   285→- **Unit tests**: Added more unit tests for NATS API, node repository, and other components\n   286→- **Test improvements**: Better test coverage; test DB is now copied before unit tests\n   287→  to avoid state pollution between test runs\n   288→- **Parquet writer tests**: Comprehensive tests for Parquet archive writing and conversion\n   289→\n   290→## Bug fixes\n   291→\n   292→- Fixed nodelist paging issues\n   293→- Fixed metric select drag and drop functionality\n   294→- Fixed render race conditions in nodeList\n   295→- Fixed tag count grouping including type\n   296→- Fixed wrong metricstore schema (missing comma)\n   297→- Fixed configuration issues causing shutdown hangs\n   298→- Fixed deadlock when NATS is not configured\n   299→- Fixed archive backend performance bugs\n   300→- Fixed continuous scroll buildup on refresh\n   301→- Improved footprint calculation logic\n   302→- Fixed polar plot data query decoupling\n   303→- Fixed missing resolution parameter handling\n   304→- Fixed node table initialization fallback\n   305→- Fixed reactivity key placement in nodeList\n   306→- Fixed nodeList resolver data handling and increased nodestate filter cutoff\n   307→- Fixed job always being transferred to main job table before archiving\n   308→- Fixed AppTagger error handling and logging\n   309→- Fixed log endpoint formatting and correctness\n   310→- Fixed automatic refresh in metric status tab\n   311→- Fixed NULL value handling in `health_state` and `health_metrics` columns\n   312→- Fixed bugs related to `job_cache` IDs being used in the main job table\n   313→- Fixed SyncJobs bug causing start job hooks to be called with wrong (cache) IDs\n   314→- Fixed 404 handler route for sub-routers\n   315→\n   316→## Configuration changes\n   317→\n   318→### New configuration options\n   319→\n   320→```json\n   321→{\n   322→  \"main\": {\n   323→    \"enable-job-taggers\": true,\n   324→    \"resampling\": {\n   325→      \"minimum-points\": 600,\n   326→      \"trigger\": 180,\n   327→      \"resolutions\": [240, 60]\n   328→    },\n   329→    \"api-subjects\": {\n   330→      \"subject-job-event\": \"cc.job.event\",\n   331→      \"subject-node-state\": \"cc.node.state\"\n   332→    }\n   333→  },\n   334→  \"nats\": {\n   335→    \"address\": \"nats://0.0.0.0:4222\",\n   336→    \"username\": \"root\",\n   337→    \"password\": \"root\"\n   338→  },\n   339→  \"cron\": {\n   340→    \"commit-job-worker\": \"1m\",\n   341→    \"duration-worker\": \"5m\",\n   342→    \"footprint-worker\": \"10m\"\n   343→  },\n   344→  \"metric-store\": {\n   345→    \"cleanup\": {\n   346→      \"mode\": \"archive\",\n   347→      \"interval\": \"48h\",\n   348→      \"directory\": \"./var/archive\"\n   349→    }\n   350→  },\n   351→  \"archive\": {\n   352→    \"retention\": {\n   353→      \"policy\": \"delete\",\n   354→      \"age\": \"6months\",\n   355→      \"target-format\": \"parquet\"\n   356→    }\n   357→  },\n   358→  \"nodestate\": {\n   359→    \"retention\": {\n   360→      \"policy\": \"archive\",\n   361→      \"age\": \"30d\",\n   362→      \"archive-path\": \"./var/nodestate-archive\"\n   363→    }\n   364→  }\n   365→}\n   366→```\n   367→\n   368→## Migration notes\n   369→\n   370→- Review and update your `config.json` to use kebab-case attribute names\n   371→- If using NATS, configure the new `nats` and `api-subjects` sections\n   372→- If using S3 archive backend, configure the new `archive` section options\n   373→- Test the new public dashboard at `/public` route\n   374→- Review cron worker configuration if you need different frequencies\n   375→- If using the archive retention feature, configure the `target-format` option\n   376→  to choose between `json` (default) and `parquet` output formats\n   377→- Consider enabling nodestate retention if you track node states over time\n   378→"}]},"uuid":"0a6b95e4-8728-4741-a162-3fd9c0c9b1b7","timestamp":"2026-03-20T07:16:00.518Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/ReleaseNotes.md","content":"# `cc-backend` version 1.5.2\n\nSupports job archive version 3 and database version 11.\n\nThis is a bugfix release of `cc-backend`, the API backend and frontend\nimplementation of ClusterCockpit.\nFor release specific notes visit the [ClusterCockpit Documentation](https://clusterockpit.org/docs/release/).\nIf you are upgrading from v1.5.1 no database migration is required.\nIf you are upgrading from v1.5.0 you need to do another DB migration. This\nshould not take long. For optimal database performance after the migration it is\nrecommended to apply the new `optimize-db` flag, which runs the sqlite `ANALYZE`\nand `VACUUM` commands. Depending on your database size (more then 40GB) the\n`VACUUM` may take up to 2h. You can also run the `ANALYZE` command manually.\nWhile we are confident that the memory issue with the metricstore cleanup move\npolicy is fixed, it is still recommended to use delete policy for cleanup.\nThis is also the default.\n\n## Changes in 1.5.2\n\n### Bug fixes\n\n- **Memory spike in parquet writer**: Fixed memory spikes when using the\n  metricstore move (archive) policy with the parquet writer. The writer now\n  processes data in a streaming fashion to avoid accumulating large allocations.\n\n### Database performance\n\n- **Reduced insert pressure**: Bulk insert operations (node state updates, user\n  and job cache syncs) now use explicit transactions and deferred inserts,\n  significantly reducing write contention on the SQLite database.\n- **SyncJobs wrapped in transaction**: `SyncJobs` now runs inside a transaction\n  for better consistency and reduced lock contention.\n- **Configurable busy timeout**: New `busy-timeout` configuration option for the\n  SQLite connection. This allows tuning how long the driver waits for a locked\n  database before returning an error, which improves resilience under concurrent\n  write load.\n- **Increased default SQLite timeout**: The default SQLite connection timeout\n  has been raised to reduce spurious timeout errors under load.\n\n### NATS API\n\n- **Nodestate health checks in NATS API**: The NATS node state handler now\n  performs the same metric health checks as the REST API handler, including\n  per-subcluster health checks and `MonitoringStateFailed` fallback for nodes\n  without health data.\n\n### Logging improvements\n\n- **Better error context**: Several repository functions now include the calling\n  function name in error messages for easier diagnosis.\n- **Reduced log noise**: `ErrNoRows` (no results found) is no longer logged as\n  an error in `scanRow`; common \"no rows\" paths are now silent.\n- **Debug-level missing metrics**: Warning about missing metrics in the metric\n  store has been downgraded to debug level to reduce log noise in normal\n  operation.\n- **Checkpoint archiving log**: Added an informational log message when the\n  metricstore checkpoint archiving process runs.\n\n### Dependencies\n\n- **cc-lib upgraded**: Updated to latest cc-lib version.\n\n## Known issues\n\n- The new dynamic memory management is not bullet proof yet across restarts.\n  Buffers that are kept outside the retention period may be lost across a\n  restart. We will fix that in a subsequent patch release.\n- To use the new log viewer (which is only working when starting cc-backend with\n  systemd) in the admin interface the user under which the cc-backend process is\n  running has to be allowed to execute the journalctl command.\n- The user configuration keys for the ui have changed. Therefore old user\n  configuration persisted in the database is not used anymore. It is recommended\n  to configure the metrics shown in the ui-config sestion and remove all records\n  in the table after the update.\n- Currently energy footprint metrics of type energy are ignored for calculating\n  total energy.\n- With energy footprint metrics of type power the unit is ignored and it is\n  assumed the metric has the unit Watt.\n\n## Changes in 1.5.1\n\n### Database\n\n- **New migration (version 11)**: Optimized database index count and added covering indexes for stats queries for significantly improved query performance\n- **Migration 9 fix**: Removed redundant indices from migration 9 that are superseded by migration 11\n- **Optional DB optimization flag**: Added `-optimize-db` CLI flag to run `ANALYZE` on demand; removed automatic ANALYZE on startup\n- **Selective stats queries**: Stats queries are now selective, reducing unnecessary computation\n- **User list paging**: Added paging support to the user list for better scalability\n- **SQLite configuration hardening**: Sanitized SQLite configuration with new configurable options; fixes large heap allocations in the SQLite driver\n- **Query cancellation**: Long-running database queries can now be cancelled\n- **Resource leak fix**: Added missing `defer Close()` calls for all query result sets\n\n### Bug fixes\n\n- **Segfault when taggers misconfigured**: Fixed crash when `enable-job-taggers` is set but tagger rule directories are missing\n- **GroupBy stats query complexity**: Reduced complexity for `groupBy` statistics queries\n- **Ranged filter conditions**: Fixed GT and LT conditions in ranged filters\n- **Energy filter preset**: Reduced energy filter preset to a more practical default\n- **JSON validity check**: Fixed wrong field being checked for JSON validity\n- **Tagger float rounding**: Fixed rounding of floats in tagger messages\n- **Node view null safety**: Added null-safe checks in node view to prevent runtime errors\n- **Public dashboard null safety**: Added null-safe checks in the public dashboard to prevent runtime errors\n\n### Frontend\n\n- **Bumped patch versions**: Updated frontend dependencies to latest patch versions\n\n### Documentation\n\n- **New DB config options**: Added new database configuration options to README\n\n---\n\n_The sections below document all features and changes introduced in the 1.5.0 major release, which 1.5.1 is based on._\n\n## Breaking changes\n\n### Configuration changes\n\n- **JSON attribute naming**: All JSON configuration attributes now use `kebab-case`\n  style consistently (e.g., `api-allowed-ips` instead of `apiAllowedIPs`).\n  Update your `config.json` accordingly.\n- **Removed `disable-archive` option**: This obsolete configuration option has been removed.\n- **Removed `clusters` config section**: The separate clusters configuration section\n  has been removed. Cluster information is now derived from the job archive.\n- **`apiAllowedIPs` is now optional**: If not specified, defaults to not\n  restricted.\n\n### Architecture changes\n\n- **Web framework replaced**: Migrated from `gorilla/mux` to `chi` as the HTTP\n  router. This should be transparent to users but affects how middleware and\n  routes are composed. A proper 404 handler is now in place.\n- **MetricStore moved**: The `metricstore` package has been moved from `internal/`\n  to `pkg/` as it is now part of the public API.\n- **MySQL/MariaDB support removed**: Only SQLite is now supported as the database backend.\n- **Archive to Cleanup renaming**: Archive-related functions have been refactored\n  and renamed to \"Cleanup\" for clarity.\n- **`minRunningFor` filter removed**: This undocumented filter has been removed\n  from the API and frontend.\n\n### Dependency changes\n\n- **cc-lib v2.8.0**: Switched to cc-lib version 2 with updated APIs\n- **cclib NATS client**: Now using the cclib NATS client implementation\n- Removed obsolete `util.Float` usage from cclib\n\n## Major new features\n\n### NATS API Integration\n\n- **Real-time job events**: Subscribe to job start/stop events via NATS\n- **Node state updates**: Receive real-time node state changes via NATS\n- **Configurable subjects**: NATS API subjects are now configurable via `api-subjects`\n- **Deadlock fixes**: Improved NATS client stability and graceful shutdown\n\n### Public Dashboard\n\n- **Public-facing interface**: New public dashboard route for external users\n- **DoubleMetricPlot component**: New visualization component for comparing metrics\n- **Improved layout**: Reviewed and optimized dashboard layouts for better readability\n\n### Enhanced Node Management\n\n- **Node state tracking**: New node table in database with timestamp tracking\n- **Node state filtering**: Filter jobs by node state in systems view\n- **Node list enhancements**: Improved paging, filtering, and continuous scroll support\n- **Nodestate retention and archiving**: Node state data is now subject to configurable\n  retention policies and can be archived to Parquet format for long-term storage\n- **Faulty node metric tracking**: Faulty node state metric lists are persisted to the database\n\n### Health Monitoring\n\n- **Health status dashboard**: New dedicated \"Health\" tab in the status details view\n  showing per-node metric health across the cluster\n- **CCMS health check**: Support for querying health status of external\n  cc-metric-store (CCMS) instances via the API\n- **GraphQL health endpoints**: New GraphQL queries and resolvers for health data\n- **Cluster/subcluster filter**: Filter health status view by cluster or subcluster\n\n### Log Viewer\n\n- **Web-based log viewer**: New log viewer page in the admin interface for inspecting\n  backend log output directly from the browser without shell access\n- **Accessible from header**: Quick access link from the navigation header\n\n### MetricStore Improvements\n\n- **Memory tracking worker**: New worker for CCMS memory usage tracking\n- **Dynamic retention**: Support for job specific dynamic retention times\n- **Improved compression**: Transparent compression for job archive imports\n- **Parallel processing**: Parallelized Iter function in all archive backends\n\n### Job Tagging System\n\n- **Job tagger option**: Enable automatic job tagging via configuration flag\n- **Application detection**: Automatic detection of applications (MATLAB, GROMACS, etc.)\n- **Job classification**: Automatic detection of pathological jobs\n- **omit-tagged**: Option to exclude tagged jobs from retention/cleanup operations (`none`, `all`, or `user`)\n- **Admin UI trigger**: Taggers can be run on-demand from the admin web interface\n  without restarting the backend\n\n### Archive Backends\n\n- **Parquet archive format**: New Parquet file format for job archiving, providing\n  columnar storage with efficient compression for analytical workloads\n- **S3 backend**: Full support for S3-compatible object storage\n- **SQLite backend**: Full support for SQLite backend using blobs\n- **Performance improvements**: Fixed performance bugs in archive backends\n- **Better error handling**: Improved error messages and fallback handling\n- **Zstd compression**: Parquet writers use zstd compression for better\n  compression ratios compared to the previous snappy default\n- **Optimized sort order**: Job and nodestate Parquet files are sorted by\n  cluster, subcluster, and start time for efficient range queries\n\n### Unified Archive Retention and Format Conversion\n\n- **Uniform retention policy**: Job archive retention now supports both JSON and\n  Parquet as target formats under a single, consistent policy configuration\n- **Archive manager tool**: The `tools/archive-manager` utility now supports\n  format conversion between JSON and Parquet job archives\n- **Parquet reader**: Full Parquet archive reader implementation for reading back\n  archived job data\n\n## New features and improvements\n\n### Frontend\n\n- **Loading indicators**: Added loading indicators to status detail and job lists\n- **Job info layout**: Reviewed and improved job info row layout\n- **Metric selection**: Enhanced metric selection with drag-and-drop fixes\n- **Filter presets**: Move list filter preset to URL for easy sharing\n- **Job comparison**: Improved job comparison views and plots\n- **Subcluster reactivity**: Job list now reacts to subcluster filter changes\n- **Short jobs quick selection**: New \"Short jobs\" quick-filter button in job lists\n  replaces the removed undocumented `minRunningFor` filter\n- **Row plot cursor sync**: Cursor position is now synchronized across all metric\n  plots in a job list row for easier cross-metric comparison\n- **Disabled metrics handling**: Improved handling and display of disabled metrics\n  across job view, node view, and list rows\n- **\"Not configured\" info cards**: Informational cards shown when optional features\n  are not yet configured\n- **Frontend dependencies**: Bumped frontend dependencies to latest versions\n- **Svelte 5 compatibility**: Fixed Svelte state warnings and compatibility issues\n\n### Backend\n\n- **Progress bars**: Import function now shows progress during long operations\n- **Better logging**: Improved logging with appropriate log levels throughout\n- **Graceful shutdown**: Fixed shutdown timeout bugs and hanging issues\n- **Configuration defaults**: Sensible defaults for most configuration options\n- **Documentation**: Extensive documentation improvements across packages\n- **Server flag in systemd unit**: Example systemd unit now includes the `-server` flag\n\n### Security\n\n- **LDAP security hardening**: Improved input validation, connection handling, and\n  error reporting in the LDAP authenticator\n- **OIDC security hardening**: Stricter token validation and improved error handling\n  in the OIDC authenticator\n- **Auth schema extensions**: Additional schema fields for improved auth configuration\n\n### API improvements\n\n- **Role-based metric visibility**: Metrics can now have role-based access control\n- **Job exclusivity filter**: New filter for exclusive vs. shared jobs\n- **Improved error messages**: Better error messages and documentation in REST API\n- **GraphQL enhancements**: Improved GraphQL queries and resolvers\n- **Stop job lookup order**: Reversed lookup order in stop job requests for\n  more reliable job matching (cluster+jobId first, then jobId alone)\n\n### Performance\n\n- **Database indices**: Optimized SQLite indices for better query performance\n- **Job cache**: Introduced caching table for faster job inserts\n- **Parallel imports**: Archive imports now run in parallel where possible\n- **External tool integration**: Optimized use of external tools (fd) for better performance\n- **Node repository queries**: Reviewed and optimized node repository SQL queries\n- **Buffer pool**: Resized and pooled internal buffers for better memory reuse\n\n### Developer experience\n\n- **AI agent guidelines**: Added documentation for AI coding agents (AGENTS.md, CLAUDE.md)\n- **Example API payloads**: Added example JSON API payloads for testing\n- **Unit tests**: Added more unit tests for NATS API, node repository, and other components\n- **Test improvements**: Better test coverage; test DB is now copied before unit tests\n  to avoid state pollution between test runs\n- **Parquet writer tests**: Comprehensive tests for Parquet archive writing and conversion\n\n## Bug fixes\n\n- Fixed nodelist paging issues\n- Fixed metric select drag and drop functionality\n- Fixed render race conditions in nodeList\n- Fixed tag count grouping including type\n- Fixed wrong metricstore schema (missing comma)\n- Fixed configuration issues causing shutdown hangs\n- Fixed deadlock when NATS is not configured\n- Fixed archive backend performance bugs\n- Fixed continuous scroll buildup on refresh\n- Improved footprint calculation logic\n- Fixed polar plot data query decoupling\n- Fixed missing resolution parameter handling\n- Fixed node table initialization fallback\n- Fixed reactivity key placement in nodeList\n- Fixed nodeList resolver data handling and increased nodestate filter cutoff\n- Fixed job always being transferred to main job table before archiving\n- Fixed AppTagger error handling and logging\n- Fixed log endpoint formatting and correctness\n- Fixed automatic refresh in metric status tab\n- Fixed NULL value handling in `health_state` and `health_metrics` columns\n- Fixed bugs related to `job_cache` IDs being used in the main job table\n- Fixed SyncJobs bug causing start job hooks to be called with wrong (cache) IDs\n- Fixed 404 handler route for sub-routers\n\n## Configuration changes\n\n### New configuration options\n\n```json\n{\n  \"main\": {\n    \"enable-job-taggers\": true,\n    \"resampling\": {\n      \"minimum-points\": 600,\n      \"trigger\": 180,\n      \"resolutions\": [240, 60]\n    },\n    \"api-subjects\": {\n      \"subject-job-event\": \"cc.job.event\",\n      \"subject-node-state\": \"cc.node.state\"\n    }\n  },\n  \"nats\": {\n    \"address\": \"nats://0.0.0.0:4222\",\n    \"username\": \"root\",\n    \"password\": \"root\"\n  },\n  \"cron\": {\n    \"commit-job-worker\": \"1m\",\n    \"duration-worker\": \"5m\",\n    \"footprint-worker\": \"10m\"\n  },\n  \"metric-store\": {\n    \"cleanup\": {\n      \"mode\": \"archive\",\n      \"interval\": \"48h\",\n      \"directory\": \"./var/archive\"\n    }\n  },\n  \"archive\": {\n    \"retention\": {\n      \"policy\": \"delete\",\n      \"age\": \"6months\",\n      \"target-format\": \"parquet\"\n    }\n  },\n  \"nodestate\": {\n    \"retention\": {\n      \"policy\": \"archive\",\n      \"age\": \"30d\",\n      \"archive-path\": \"./var/nodestate-archive\"\n    }\n  }\n}\n```\n\n## Migration notes\n\n- Review and update your `config.json` to use kebab-case attribute names\n- If using NATS, configure the new `nats` and `api-subjects` sections\n- If using S3 archive backend, configure the new `archive` section options\n- Test the new public dashboard at `/public` route\n- Review cron worker configuration if you need different frequencies\n- If using the archive retention feature, configure the `target-format` option\n  to choose between `json` (default) 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2 +-\n web/frontend/src/Node.root.svelte                  | 41 ++++++++---\n web/frontend/src/Systems.root.svelte               |  8 +--\n web/frontend/src/systems/NodeList.svelte           | 13 ++--\n web/frontend/src/systems/NodeOverview.svelte       | 24 +++----\n web/frontend/src/systems/nodelist/NodeInfo.svelte  | 34 ++++-----\n .../src/systems/nodelist/NodeListRow.svelte        |  6 +-\n 12 files changed, 171 insertions(+), 104 deletions(-)\n886791cf remove deprecated minRunningFor filter remnants\n\n\n api/schema.graphqls                   |  2 --\n internal/graph/generated/generated.go | 11 +----------\n internal/graph/model/models_gen.go    |  1 -\n internal/repository/jobQuery.go       |  7 -------\n 4 files changed, 1 insertion(+), 20 deletions(-)\n16ec1e69 streamline and unify statsSeries calc and render\n\n\n internal/metricdispatch/dataLoader.go                  | 4 ++--\n web/frontend/src/generic/joblist/JobListRow.svelte     | 2 +-\n web/frontend/src/generic/plots/DoubleMetricPlot.svelte | 4 ++--\n web/frontend/src/generic/plots/MetricPlot.svelte       | 8 +-------\n web/frontend/src/job/Metric.svelte                     | 1 -\n web/frontend/src/systems/nodelist/NodeListRow.svelte   | 5 ++---\n 6 files changed, 8 insertions(+), 16 deletions(-)\nc42898bd fix: add top list query fixes to analysis and dashboard\n\n\n web/frontend/src/Analysis.root.svelte               | 14 +++++++++++---\n web/frontend/src/status/DashInternal.svelte         | 21 ++++++++++++---------\n .../src/status/dashdetails/UsageDash.svelte         |  2 --\n 3 files changed, 23 insertions(+), 14 deletions(-)\n22057ff2 Pass reqKey as CacheKey\nEntire-Checkpoint: b95ef43221bb\n\n\n internal/graph/schema.resolvers.go | 4 ++--\n internal/graph/stats_cache.go      | 6 +++---\n 2 files changed, 5 insertions(+), 5 deletions(-)\n8b0881fb Exclude down nodes from HealthCheck\nEntire-Checkpoint: 0c3347168c79\n\n\n internal/api/nats.go | 26 ++++++++++++++++++++------\n internal/api/node.go | 32 ++++++++++++++++++++++++--------\n 2 files changed, 44 insertions(+), 14 deletions(-)\nc1d51959 Change dtermineState to enforce priority order\nMake exception if node is idle + down, then final state is idle\n\nEntire-Checkpoint: 92c797737df8\n\n\n internal/api/node.go | 33 +++++++++++++++++++--------------\n 1 file changed, 19 insertions(+), 14 deletions(-)\n8b132ed7 fix: Blocking ReceiveNats call\nEntire-Checkpoint: 38a235c86ceb\n\n\n pkg/metricstore/metricstore.go | 9 +++++----\n 1 file changed, 5 insertions(+), 4 deletions(-)\nbf1a8a17 fix: Shard WAL consumer for higher throughput\nEntire-Checkpoint: e583b7b11439\n\n\n pkg/metricstore/lineprotocol.go  |   8 +-\n pkg/metricstore/metricstore.go   |   4 +-\n pkg/metricstore/walCheckpoint.go | 362 +++++++++++++++++++++++++++------------\n 3 files changed, 254 insertions(+), 120 deletions(-)\n50aed595 fix: metricstore NATS contention\nEntire-Checkpoint: 7e68050cab59\n\n\n pkg/metricstore/lineprotocol.go  | 18 ++++++++++++++++--\n pkg/metricstore/metricstore.go   |  2 +-\n pkg/metricstore/walCheckpoint.go | 24 +++++++++++++++++++++++-\n 3 files changed, 40 insertions(+), 4 deletions(-)\n6ebc9e88 Add more context information to auth failed log\nEntire-Checkpoint: 2187cd89cb78\n\n\n internal/auth/auth.go | 2 +-\n 1 file changed, 1 insertion(+), 1 deletion(-)\n30b8ca4a further clarify plot titles\n\n\n web/frontend/src/status/DashInternal.svelte           | 2 +-\n web/frontend/src/status/dashdetails/StatusDash.svelte | 4 ++--\n 2 files changed, 3 insertions(+), 3 deletions(-)\nbb691577 fix: clarify title\n\n\n web/frontend/src/status/dashdetails/HealthDash.svelte | 4 ++--\n 1 file changed, 2 insertions(+), 2 deletions(-)\n33beb3c8 fix: simplify stats query condition\n- caused expensive subquery without need in frontend\n\n\n internal/repository/stats.go | 2 +-\n 1 file changed, 1 insertion(+), 1 deletion(-)\n6cad2ee1 bump frontend dependencies, increase version to match release\n\n\n web/frontend/package-lock.json | 56 ++++++++++++++++++++++++++----------------\n web/frontend/package.json      |  4 +--\n 2 files changed, 37 insertions(+), 23 deletions(-)","is_error":false}]},"uuid":"ec96aa96-d137-483f-9c97-5bbdd6fbef97","timestamp":"2026-03-20T07:16:44.887Z","toolUseResult":{"stdout":"bf48389a Optimize sortby in stats queries\nEntire-Checkpoint: 9b5b833472e1\n\n\n internal/graph/schema.resolvers.go |  5 +++++\n internal/graph/stats_cache.go      | 27 +++++++++++++++++++++++++++\n 2 files changed, 32 insertions(+)\n10b4fa5a change: remove heuristic metricHealth, replace with DB metricHealth\n- add metricHealth to single Node view\n\n\n api/schema.graphqls                                |  3 +-\n internal/graph/generated/generated.go              | 82 +++++++++++++++++-----\n internal/graph/model/models_gen.go                 |  9 +--\n internal/graph/schema.resolvers.go                 | 18 ++---\n internal/repository/node.go                        | 35 +++++----\n web/frontend/src/DashPublic.root.svelte            |  2 +-\n web/frontend/src/Node.root.svelte                  | 41 ++++++++---\n web/frontend/src/Systems.root.svelte               |  8 +--\n web/frontend/src/systems/NodeList.svelte           | 13 ++--\n web/frontend/src/systems/NodeOverview.svelte       | 24 +++----\n web/frontend/src/systems/nodelist/NodeInfo.svelte  | 34 ++++-----\n .../src/systems/nodelist/NodeListRow.svelte        |  6 +-\n 12 files changed, 171 insertions(+), 104 deletions(-)\n886791cf remove deprecated minRunningFor filter remnants\n\n\n api/schema.graphqls                   |  2 --\n internal/graph/generated/generated.go | 11 +----------\n internal/graph/model/models_gen.go    |  1 -\n internal/repository/jobQuery.go       |  7 -------\n 4 files changed, 1 insertion(+), 20 deletions(-)\n16ec1e69 streamline and unify statsSeries calc and render\n\n\n internal/metricdispatch/dataLoader.go                  | 4 ++--\n web/frontend/src/generic/joblist/JobListRow.svelte     | 2 +-\n web/frontend/src/generic/plots/DoubleMetricPlot.svelte | 4 ++--\n web/frontend/src/generic/plots/MetricPlot.svelte       | 8 +-------\n web/frontend/src/job/Metric.svelte                     | 1 -\n web/frontend/src/systems/nodelist/NodeListRow.svelte   | 5 ++---\n 6 files changed, 8 insertions(+), 16 deletions(-)\nc42898bd fix: add top list query fixes to analysis and dashboard\n\n\n web/frontend/src/Analysis.root.svelte               | 14 +++++++++++---\n web/frontend/src/status/DashInternal.svelte         | 21 ++++++++++++---------\n .../src/status/dashdetails/UsageDash.svelte         |  2 --\n 3 files changed, 23 insertions(+), 14 deletions(-)\n22057ff2 Pass reqKey as CacheKey\nEntire-Checkpoint: b95ef43221bb\n\n\n internal/graph/schema.resolvers.go | 4 ++--\n internal/graph/stats_cache.go      | 6 +++---\n 2 files changed, 5 insertions(+), 5 deletions(-)\n8b0881fb Exclude down nodes from HealthCheck\nEntire-Checkpoint: 0c3347168c79\n\n\n internal/api/nats.go | 26 ++++++++++++++++++++------\n internal/api/node.go | 32 ++++++++++++++++++++++++--------\n 2 files changed, 44 insertions(+), 14 deletions(-)\nc1d51959 Change dtermineState to enforce priority order\nMake exception if node is idle + down, then final state is idle\n\nEntire-Checkpoint: 92c797737df8\n\n\n internal/api/node.go | 33 +++++++++++++++++++--------------\n 1 file changed, 19 insertions(+), 14 deletions(-)\n8b132ed7 fix: Blocking ReceiveNats call\nEntire-Checkpoint: 38a235c86ceb\n\n\n pkg/metricstore/metricstore.go | 9 +++++----\n 1 file changed, 5 insertions(+), 4 deletions(-)\nbf1a8a17 fix: Shard WAL consumer for higher throughput\nEntire-Checkpoint: e583b7b11439\n\n\n pkg/metricstore/lineprotocol.go  |   8 +-\n pkg/metricstore/metricstore.go   |   4 +-\n pkg/metricstore/walCheckpoint.go | 362 +++++++++++++++++++++++++++------------\n 3 files changed, 254 insertions(+), 120 deletions(-)\n50aed595 fix: metricstore NATS contention\nEntire-Checkpoint: 7e68050cab59\n\n\n pkg/metricstore/lineprotocol.go  | 18 ++++++++++++++++--\n pkg/metricstore/metricstore.go   |  2 +-\n pkg/metricstore/walCheckpoint.go | 24 +++++++++++++++++++++++-\n 3 files changed, 40 insertions(+), 4 deletions(-)\n6ebc9e88 Add more context information to auth failed log\nEntire-Checkpoint: 2187cd89cb78\n\n\n internal/auth/auth.go | 2 +-\n 1 file changed, 1 insertion(+), 1 deletion(-)\n30b8ca4a further clarify plot titles\n\n\n web/frontend/src/status/DashInternal.svelte           | 2 +-\n web/frontend/src/status/dashdetails/StatusDash.svelte | 4 ++--\n 2 files changed, 3 insertions(+), 3 deletions(-)\nbb691577 fix: clarify title\n\n\n web/frontend/src/status/dashdetails/HealthDash.svelte | 4 ++--\n 1 file changed, 2 insertions(+), 2 deletions(-)\n33beb3c8 fix: simplify stats query condition\n- caused expensive subquery without need in frontend\n\n\n internal/repository/stats.go | 2 +-\n 1 file changed, 1 insertion(+), 1 deletion(-)\n6cad2ee1 bump frontend dependencies, increase version to match release\n\n\n web/frontend/package-lock.json | 56 ++++++++++++++++++++++++++----------------\n web/frontend/package.json      |  4 +--\n 2 files changed, 37 insertions(+), 23 deletions(-)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"150d6bbe-8a5b-41a9-8da5-c47644235267","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7295dc77-690f-48eb-95e9-1987f8dd13f9","version":"2.1.80","gitBranch":"hotfix","slug":"majestic-doodling-manatee"}
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You can also run the `ANALYZE` command manually.\nWhile we are confident that the memory issue with the metricstore cleanup move\npolicy is fixed, it is still recommended to use delete policy for cleanup.\nThis is also the default.\n\n## Changes in 1.5.2\n\n### Bug fixes\n\n- **Memory spike in parquet writer**: Fixed memory spikes when using the\n  metricstore move (archive) policy with the parquet writer. The writer now\n  processes data in a streaming fashion to avoid accumulating large allocations.\n\n### Database performance\n\n- **Reduced insert pressure**: Bulk insert operations (node state updates, user\n  and job cache syncs) now use explicit transactions and deferred inserts,\n  significantly reducing write contention on the SQLite database.\n- **SyncJobs wrapped in transaction**: `SyncJobs` now runs inside a transaction\n  for better consistency and reduced lock contention.\n- **Configurable busy timeout**: New `busy-timeout` configuration option for the\n  SQLite connection. This allows tuning how long the driver waits for a locked\n  database before returning an error, which improves resilience under concurrent\n  write load.\n- **Increased default SQLite timeout**: The default SQLite connection timeout\n  has been raised to reduce spurious timeout errors under load.\n\n### NATS API\n\n- **Nodestate health checks in NATS API**: The NATS node state handler now\n  performs the same metric health checks as the REST API handler, including\n  per-subcluster health checks and `MonitoringStateFailed` fallback for nodes\n  without health data.\n\n### Logging improvements\n\n- **Better error context**: Several repository functions now include the calling\n  function name in error messages for easier diagnosis.\n- **Reduced log noise**: `ErrNoRows` (no results found) is no longer logged as\n  an error in `scanRow`; common \"no rows\" paths are now silent.\n- **Debug-level missing metrics**: Warning about missing metrics in the metric\n  store has been downgraded to debug level to reduce log noise in normal\n  operation.\n- **Checkpoint archiving log**: Added an informational log message when the\n  metricstore checkpoint archiving process runs.\n\n### Dependencies\n\n- **cc-lib upgraded**: Updated to latest cc-lib version.\n\n## Known issues\n\n- The new dynamic memory management is not bullet proof yet across restarts.\n  Buffers that are kept outside the retention period may be lost across a\n  restart. We will fix that in a subsequent patch release.\n- To use the new log viewer (which is only working when starting cc-backend with\n  systemd) in the admin interface the user under which the cc-backend process is\n  running has to be allowed to execute the journalctl command.\n- The user configuration keys for the ui have changed. Therefore old user\n  configuration persisted in the database is not used anymore. It is recommended\n  to configure the metrics shown in the ui-config sestion and remove all records\n  in the table after the update.\n- Currently energy footprint metrics of type energy are ignored for calculating\n  total energy.\n- With energy footprint metrics of type power the unit is ignored and it is\n  assumed the metric has the unit Watt.\n\n## Changes in 1.5.1\n\n### Database\n\n- **New migration (version 11)**: Optimized database index count and added covering indexes for stats queries for significantly improved query performance\n- **Migration 9 fix**: Removed redundant indices from migration 9 that are superseded by migration 11\n- **Optional DB optimization flag**: Added `-optimize-db` CLI flag to run `ANALYZE` on demand; removed automatic ANALYZE on startup\n- **Selective stats queries**: Stats queries are now selective, reducing unnecessary computation\n- **User list paging**: Added paging support to the user list for better scalability\n- **SQLite configuration hardening**: Sanitized SQLite configuration with new configurable options; fixes large heap allocations in the SQLite driver\n- **Query cancellation**: Long-running database queries can now be cancelled\n- **Resource leak fix**: Added missing `defer Close()` calls for all query result sets\n\n### Bug fixes\n\n- **Segfault when taggers misconfigured**: Fixed crash when `enable-job-taggers` is set but tagger rule directories are missing\n- **GroupBy stats query complexity**: Reduced complexity for `groupBy` statistics queries\n- **Ranged filter conditions**: Fixed GT and LT conditions in ranged filters\n- **Energy filter preset**: Reduced energy filter preset to a more practical default\n- **JSON validity check**: Fixed wrong field being checked for JSON validity\n- **Tagger float rounding**: Fixed rounding of floats in tagger messages\n- **Node view null safety**: Added null-safe checks in node view to prevent runtime errors\n- **Public dashboard null safety**: Added null-safe checks in the public dashboard to prevent runtime errors\n\n### Frontend\n\n- **Bumped patch versions**: Updated frontend dependencies to latest patch versions\n\n### Documentation\n\n- **New DB config options**: Added new database configuration options to README\n\n---\n\n_The sections below document all features and changes introduced in the 1.5.0 major release, which 1.5.1 is based on._\n\n## Breaking changes\n\n### Configuration changes\n\n- **JSON attribute naming**: All JSON configuration attributes now use `kebab-case`\n  style consistently (e.g., `api-allowed-ips` instead of `apiAllowedIPs`).\n  Update your `config.json` accordingly.\n- **Removed `disable-archive` option**: This obsolete configuration option has been removed.\n- **Removed `clusters` config section**: The separate clusters configuration section\n  has been removed. Cluster information is now derived from the job archive.\n- **`apiAllowedIPs` is now optional**: If not specified, defaults to not\n  restricted.\n\n### Architecture changes\n\n- **Web framework replaced**: Migrated from `gorilla/mux` to `chi` as the HTTP\n  router. This should be transparent to users but affects how middleware and\n  routes are composed. A proper 404 handler is now in place.\n- **MetricStore moved**: The `metricstore` package has been moved from `internal/`\n  to `pkg/` as it is now part of the public API.\n- **MySQL/MariaDB support removed**: Only SQLite is now supported as the database backend.\n- **Archive to Cleanup renaming**: Archive-related functions have been refactored\n  and renamed to \"Cleanup\" for clarity.\n- **`minRunningFor` filter removed**: This undocumented filter has been removed\n  from the API and frontend.\n\n### Dependency changes\n\n- **cc-lib v2.8.0**: Switched to cc-lib version 2 with updated APIs\n- **cclib NATS client**: Now using the cclib NATS client implementation\n- Removed obsolete `util.Float` usage from cclib\n\n## Major new features\n\n### NATS API Integration\n\n- **Real-time job events**: Subscribe to job start/stop events via NATS\n- **Node state updates**: Receive real-time node state changes via NATS\n- **Configurable subjects**: NATS API subjects are now configurable via `api-subjects`\n- **Deadlock fixes**: Improved NATS client stability and graceful shutdown\n\n### Public Dashboard\n\n- **Public-facing interface**: New public dashboard route for external users\n- **DoubleMetricPlot component**: New visualization component for comparing metrics\n- **Improved layout**: Reviewed and optimized dashboard layouts for better readability\n\n### Enhanced Node Management\n\n- **Node state tracking**: New node table in database with timestamp tracking\n- **Node state filtering**: Filter jobs by node state in systems view\n- **Node list enhancements**: Improved paging, filtering, and continuous scroll support\n- **Nodestate retention and archiving**: Node state data is now subject to configurable\n  retention policies and can be archived to Parquet format for long-term storage\n- **Faulty node metric tracking**: Faulty node state metric lists are persisted to the database\n\n### Health Monitoring\n\n- **Health status dashboard**: New dedicated \"Health\" tab in the status details view\n  showing per-node metric health across the cluster\n- **CCMS health check**: Support for querying health status of external\n  cc-metric-store (CCMS) instances via the API\n- **GraphQL health endpoints**: New GraphQL queries and resolvers for health data\n- **Cluster/subcluster filter**: Filter health status view by cluster or subcluster\n\n### Log Viewer\n\n- **Web-based log viewer**: New log viewer page in the admin interface for inspecting\n  backend log output directly from the browser without shell access\n- **Accessible from header**: Quick access link from the navigation header\n\n### MetricStore Improvements\n\n- **Memory tracking worker**: New worker for CCMS memory usage tracking\n- **Dynamic retention**: Support for job specific dynamic retention times\n- **Improved compression**: Transparent compression for job archive imports\n- **Parallel processing**: Parallelized Iter function in all archive backends\n\n### Job Tagging System\n\n- **Job tagger option**: Enable automatic job tagging via configuration flag\n- **Application detection**: Automatic detection of applications (MATLAB, GROMACS, etc.)\n- **Job classification**: Automatic detection of pathological jobs\n- **omit-tagged**: Option to exclude tagged jobs from retention/cleanup operations (`none`, `all`, or `user`)\n- **Admin UI trigger**: Taggers can be run on-demand from the admin web interface\n  without restarting the backend\n\n### Archive Backends\n\n- **Parquet archive format**: New Parquet file format for job archiving, providing\n  columnar storage with efficient compression for analytical workloads\n- **S3 backend**: Full support for S3-compatible object storage\n- **SQLite backend**: Full support for SQLite backend using blobs\n- **Performance improvements**: Fixed performance bugs in archive backends\n- **Better error handling**: Improved error messages and fallback handling\n- **Zstd compression**: Parquet writers use zstd compression for better\n  compression ratios compared to the previous snappy default\n- **Optimized sort order**: Job and nodestate Parquet files are sorted by\n  cluster, subcluster, and start time for efficient range queries\n\n### Unified Archive Retention and Format Conversion\n\n- **Uniform retention policy**: Job archive retention now supports both JSON and\n  Parquet as target formats under a single, consistent policy configuration\n- **Archive manager tool**: The `tools/archive-manager` utility now supports\n  format conversion between JSON and Parquet job archives\n- **Parquet reader**: Full Parquet archive reader implementation for reading back\n  archived job data\n\n## New features and improvements\n\n### Frontend\n\n- **Loading indicators**: Added loading indicators to status detail and job lists\n- **Job info layout**: Reviewed and improved job info row layout\n- **Metric selection**: Enhanced metric selection with drag-and-drop fixes\n- **Filter presets**: Move list filter preset to URL for easy sharing\n- **Job comparison**: Improved job comparison views and plots\n- **Subcluster reactivity**: Job list now reacts to subcluster filter changes\n- **Short jobs quick selection**: New \"Short jobs\" quick-filter button in job lists\n  replaces the removed undocumented `minRunningFor` filter\n- **Row plot cursor sync**: Cursor position is now synchronized across all metric\n  plots in a job list row for easier cross-metric comparison\n- **Disabled metrics handling**: Improved handling and display of disabled metrics\n  across job view, node view, and list rows\n- **\"Not configured\" info cards**: Informational cards shown when optional features\n  are not yet configured\n- **Frontend dependencies**: Bumped frontend dependencies to latest versions\n- **Svelte 5 compatibility**: Fixed Svelte state warnings and compatibility issues\n\n### Backend\n\n- **Progress bars**: Import function now shows progress during long operations\n- **Better logging**: Improved logging with appropriate log levels throughout\n- **Graceful shutdown**: Fixed shutdown timeout bugs and hanging issues\n- **Configuration defaults**: Sensible defaults for most configuration options\n- **Documentation**: Extensive documentation improvements across packages\n- **Server flag in systemd unit**: Example systemd unit now includes the `-server` flag\n\n### Security\n\n- **LDAP security hardening**: Improved input validation, connection handling, and\n  error reporting in the LDAP authenticator\n- **OIDC security hardening**: Stricter token validation and improved error handling\n  in the OIDC authenticator\n- **Auth schema extensions**: Additional schema fields for improved auth configuration\n\n### API improvements\n\n- **Role-based metric visibility**: Metrics can now have role-based access control\n- **Job exclusivity filter**: New filter for exclusive vs. shared jobs\n- **Improved error messages**: Better error messages and documentation in REST API\n- **GraphQL enhancements**: Improved GraphQL queries and resolvers\n- **Stop job lookup order**: Reversed lookup order in stop job requests for\n  more reliable job matching (cluster+jobId first, then jobId alone)\n\n### Performance\n\n- **Database indices**: Optimized SQLite indices for better query performance\n- **Job cache**: Introduced caching table for faster job inserts\n- **Parallel imports**: Archive imports now run in parallel where possible\n- **External tool integration**: Optimized use of external tools (fd) for better performance\n- **Node repository queries**: Reviewed and optimized node repository SQL queries\n- **Buffer pool**: Resized and pooled internal buffers for better memory reuse\n\n### Developer experience\n\n- **AI agent guidelines**: Added documentation for AI coding agents (AGENTS.md, CLAUDE.md)\n- **Example API payloads**: Added example JSON API payloads for testing\n- **Unit tests**: Added more unit tests for NATS API, node repository, and other components\n- **Test improvements**: Better test coverage; test DB is now copied before unit tests\n  to avoid state pollution between test runs\n- **Parquet writer tests**: Comprehensive tests for Parquet archive writing and conversion\n\n## Bug fixes\n\n- Fixed nodelist paging issues\n- Fixed metric select drag and drop functionality\n- Fixed render race conditions in nodeList\n- Fixed tag count grouping including type\n- Fixed wrong metricstore schema (missing comma)\n- Fixed configuration issues causing shutdown hangs\n- Fixed deadlock when NATS is not configured\n- Fixed archive backend performance bugs\n- Fixed continuous scroll buildup on refresh\n- Improved footprint calculation logic\n- Fixed polar plot data query decoupling\n- Fixed missing resolution parameter handling\n- Fixed node table initialization fallback\n- Fixed reactivity key placement in nodeList\n- Fixed nodeList resolver data handling and increased nodestate filter cutoff\n- Fixed job always being transferred to main job table before archiving\n- Fixed AppTagger error handling and logging\n- Fixed log endpoint formatting and correctness\n- Fixed automatic refresh in metric status tab\n- Fixed NULL value handling in `health_state` and `health_metrics` columns\n- Fixed bugs related to `job_cache` IDs being used in the main job table\n- Fixed SyncJobs bug causing start job hooks to be called with wrong (cache) IDs\n- Fixed 404 handler route for sub-routers\n\n## Configuration changes\n\n### New configuration options\n\n```json\n{\n  \"main\": {\n    \"enable-job-taggers\": true,\n    \"resampling\": {\n      \"minimum-points\": 600,\n      \"trigger\": 180,\n      \"resolutions\": [240, 60]\n    },\n    \"api-subjects\": {\n      \"subject-job-event\": \"cc.job.event\",\n      \"subject-node-state\": \"cc.node.state\"\n    }\n  },\n  \"nats\": {\n    \"address\": \"nats://0.0.0.0:4222\",\n    \"username\": \"root\",\n    \"password\": \"root\"\n  },\n  \"cron\": {\n    \"commit-job-worker\": \"1m\",\n    \"duration-worker\": \"5m\",\n    \"footprint-worker\": \"10m\"\n  },\n  \"metric-store\": {\n    \"cleanup\": {\n      \"mode\": \"archive\",\n      \"interval\": \"48h\",\n      \"directory\": \"./var/archive\"\n    }\n  },\n  \"archive\": {\n    \"retention\": {\n      \"policy\": \"delete\",\n      \"age\": \"6months\",\n      \"target-format\": \"parquet\"\n    }\n  },\n  \"nodestate\": {\n    \"retention\": {\n      \"policy\": \"archive\",\n      \"age\": \"30d\",\n      \"archive-path\": \"./var/nodestate-archive\"\n    }\n  }\n}\n```\n\n## Migration notes\n\n- Review and update your `config.json` to use kebab-case attribute names\n- If using NATS, configure the new `nats` and `api-subjects` sections\n- If using S3 archive backend, configure the new `archive` section options\n- Test the new public dashboard at `/public` route\n- Review cron worker configuration if you need different frequencies\n- If using the archive retention feature, configure the `target-format` option\n  to choose between `json` (default) 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This allows tuning how long the driver waits for a locked\n  database before returning an error, which improves resilience under concurrent\n  write load.\n- **Increased default SQLite timeout**: The default SQLite connection timeout\n  has been raised to reduce spurious timeout errors under load.\n- **Optimized stats queries**: Improved sortby handling in stats queries, fixed\n  cache key passing, and simplified a stats query condition that caused an\n  expensive unnecessary subquery.","originalFile":"# `cc-backend` version 1.5.2\n\nSupports job archive version 3 and database version 11.\n\nThis is a bugfix release of `cc-backend`, the API backend and frontend\nimplementation of ClusterCockpit.\nFor release specific notes visit the [ClusterCockpit Documentation](https://clusterockpit.org/docs/release/).\nIf you are upgrading from v1.5.1 no database migration is required.\nIf you are upgrading from v1.5.0 you need to do another DB migration. This\nshould not take long. For optimal database performance after the migration it is\nrecommended to apply the new `optimize-db` flag, which runs the sqlite `ANALYZE`\nand `VACUUM` commands. Depending on your database size (more then 40GB) the\n`VACUUM` may take up to 2h. You can also run the `ANALYZE` command manually.\nWhile we are confident that the memory issue with the metricstore cleanup move\npolicy is fixed, it is still recommended to use delete policy for cleanup.\nThis is also the default.\n\n## Changes in 1.5.2\n\n### Bug fixes\n\n- **Memory spike in parquet writer**: Fixed memory spikes when using the\n  metricstore move (archive) policy with the parquet writer. The writer now\n  processes data in a streaming fashion to avoid accumulating large allocations.\n- **Top list query fixes**: Fixed top list queries in analysis and dashboard\n  views.\n- **Exclude down nodes from HealthCheck**: Down nodes are now excluded from\n  health checks in both the REST and NATS handlers.\n- **Node state priority order**: Node state determination now enforces a\n  priority order. Exception: idle+down results in idle.\n- **Blocking ReceiveNats call**: Fixed a blocking NATS receive call in the\n  metricstore.\n\n### Database performance\n\n- **Reduced insert pressure**: Bulk insert operations (node state updates, user\n  and job cache syncs) now use explicit transactions and deferred inserts,\n  significantly reducing write contention on the SQLite database.\n- **SyncJobs wrapped in transaction**: `SyncJobs` now runs inside a transaction\n  for better consistency and reduced lock contention.\n- **Configurable busy timeout**: New `busy-timeout` configuration option for the\n  SQLite connection. This allows tuning how long the driver waits for a locked\n  database before returning an error, which improves resilience under concurrent\n  write load.\n- **Increased default SQLite timeout**: The default SQLite connection timeout\n  has been raised to reduce spurious timeout errors under load.\n\n### NATS API\n\n- **Nodestate health checks in NATS API**: The NATS node state handler now\n  performs the same metric health checks as the REST API handler, including\n  per-subcluster health checks and `MonitoringStateFailed` fallback for nodes\n  without health data.\n\n### Logging improvements\n\n- **Better error context**: Several repository functions now include the calling\n  function name in error messages for easier diagnosis.\n- **Reduced log noise**: `ErrNoRows` (no results found) is no longer logged as\n  an error in `scanRow`; common \"no rows\" paths are now silent.\n- **Debug-level missing metrics**: Warning about missing metrics in the metric\n  store has been downgraded to debug level to reduce log noise in normal\n  operation.\n- **Checkpoint archiving log**: Added an informational log message when the\n  metricstore checkpoint archiving process runs.\n\n### Dependencies\n\n- **cc-lib upgraded**: Updated to latest cc-lib version.\n\n## Known issues\n\n- The new dynamic memory management is not bullet proof yet across restarts.\n  Buffers that are kept outside the retention period may be lost across a\n  restart. We will fix that in a subsequent patch release.\n- To use the new log viewer (which is only working when starting cc-backend with\n  systemd) in the admin interface the user under which the cc-backend process is\n  running has to be allowed to execute the journalctl command.\n- The user configuration keys for the ui have changed. Therefore old user\n  configuration persisted in the database is not used anymore. It is recommended\n  to configure the metrics shown in the ui-config sestion and remove all records\n  in the table after the update.\n- Currently energy footprint metrics of type energy are ignored for calculating\n  total energy.\n- With energy footprint metrics of type power the unit is ignored and it is\n  assumed the metric has the unit Watt.\n\n## Changes in 1.5.1\n\n### Database\n\n- **New migration (version 11)**: Optimized database index count and added covering indexes for stats queries for significantly improved query performance\n- **Migration 9 fix**: Removed redundant indices from migration 9 that are superseded by migration 11\n- **Optional DB optimization flag**: Added `-optimize-db` CLI flag to run `ANALYZE` on demand; removed automatic ANALYZE on startup\n- **Selective stats queries**: Stats queries are now selective, reducing unnecessary computation\n- **User list paging**: Added paging support to the user list for better scalability\n- **SQLite configuration hardening**: Sanitized SQLite configuration with new configurable options; fixes large heap allocations in the SQLite driver\n- **Query cancellation**: Long-running database queries can now be cancelled\n- **Resource leak fix**: Added missing `defer Close()` calls for all query result sets\n\n### Bug fixes\n\n- **Segfault when taggers misconfigured**: Fixed crash when `enable-job-taggers` is set but tagger rule directories are missing\n- **GroupBy stats query complexity**: Reduced complexity for `groupBy` statistics queries\n- **Ranged filter conditions**: Fixed GT and LT conditions in ranged filters\n- **Energy filter preset**: Reduced energy filter preset to a more practical default\n- **JSON validity check**: Fixed wrong field being checked for JSON validity\n- **Tagger float rounding**: Fixed rounding of floats in tagger messages\n- **Node view null safety**: Added null-safe checks in node view to prevent runtime errors\n- **Public dashboard null safety**: Added null-safe checks in the public dashboard to prevent runtime errors\n\n### Frontend\n\n- **Bumped patch versions**: Updated frontend dependencies to latest patch versions\n\n### Documentation\n\n- **New DB config options**: Added new database configuration options to README\n\n---\n\n_The sections below document all features and changes introduced in the 1.5.0 major release, which 1.5.1 is based on._\n\n## Breaking changes\n\n### Configuration changes\n\n- **JSON attribute naming**: All JSON configuration attributes now use `kebab-case`\n  style consistently (e.g., `api-allowed-ips` instead of `apiAllowedIPs`).\n  Update your `config.json` accordingly.\n- **Removed `disable-archive` option**: This obsolete configuration option has been removed.\n- **Removed `clusters` config section**: The separate clusters configuration section\n  has been removed. Cluster information is now derived from the job archive.\n- **`apiAllowedIPs` is now optional**: If not specified, defaults to not\n  restricted.\n\n### Architecture changes\n\n- **Web framework replaced**: Migrated from `gorilla/mux` to `chi` as the HTTP\n  router. This should be transparent to users but affects how middleware and\n  routes are composed. A proper 404 handler is now in place.\n- **MetricStore moved**: The `metricstore` package has been moved from `internal/`\n  to `pkg/` as it is now part of the public API.\n- **MySQL/MariaDB support removed**: Only SQLite is now supported as the database backend.\n- **Archive to Cleanup renaming**: Archive-related functions have been refactored\n  and renamed to \"Cleanup\" for clarity.\n- **`minRunningFor` filter removed**: This undocumented filter has been removed\n  from the API and frontend.\n\n### Dependency changes\n\n- **cc-lib v2.8.0**: Switched to cc-lib version 2 with updated APIs\n- **cclib NATS client**: Now using the cclib NATS client implementation\n- Removed obsolete `util.Float` usage from cclib\n\n## Major new features\n\n### NATS API Integration\n\n- **Real-time job events**: Subscribe to job start/stop events via NATS\n- **Node state updates**: Receive real-time node state changes via NATS\n- **Configurable subjects**: NATS API subjects are now configurable via `api-subjects`\n- **Deadlock fixes**: Improved NATS client stability and graceful shutdown\n\n### Public Dashboard\n\n- **Public-facing interface**: New public dashboard route for external users\n- **DoubleMetricPlot component**: New visualization component for comparing metrics\n- **Improved layout**: Reviewed and optimized dashboard layouts for better readability\n\n### Enhanced Node Management\n\n- **Node state tracking**: New node table in database with timestamp tracking\n- **Node state filtering**: Filter jobs by node state in systems view\n- **Node list enhancements**: Improved paging, filtering, and continuous scroll support\n- **Nodestate retention and archiving**: Node state data is now subject to configurable\n  retention policies and can be archived to Parquet format for long-term storage\n- **Faulty node metric tracking**: Faulty node state metric lists are persisted to the database\n\n### Health Monitoring\n\n- **Health status dashboard**: New dedicated \"Health\" tab in the status details view\n  showing per-node metric health across the cluster\n- **CCMS health check**: Support for querying health status of external\n  cc-metric-store (CCMS) instances via the API\n- **GraphQL health endpoints**: New GraphQL queries and resolvers for health data\n- **Cluster/subcluster filter**: Filter health status view by cluster or subcluster\n\n### Log Viewer\n\n- **Web-based log viewer**: New log viewer page in the admin interface for inspecting\n  backend log output directly from the browser without shell access\n- **Accessible from header**: Quick access link from the navigation header\n\n### MetricStore Improvements\n\n- **Memory tracking worker**: New worker for CCMS memory usage tracking\n- **Dynamic retention**: Support for job specific dynamic retention times\n- **Improved compression**: Transparent compression for job archive imports\n- **Parallel processing**: Parallelized Iter function in all archive backends\n\n### Job Tagging System\n\n- **Job tagger option**: Enable automatic job tagging via configuration flag\n- **Application detection**: Automatic detection of applications (MATLAB, GROMACS, etc.)\n- **Job classification**: Automatic detection of pathological jobs\n- **omit-tagged**: Option to exclude tagged jobs from retention/cleanup operations (`none`, `all`, or `user`)\n- **Admin UI trigger**: Taggers can be run on-demand from the admin web interface\n  without restarting the backend\n\n### Archive Backends\n\n- **Parquet archive format**: New Parquet file format for job archiving, providing\n  columnar storage with efficient compression for analytical workloads\n- **S3 backend**: Full support for S3-compatible object storage\n- **SQLite backend**: Full support for SQLite backend using blobs\n- **Performance improvements**: Fixed performance bugs in archive backends\n- **Better error handling**: Improved error messages and fallback handling\n- **Zstd compression**: Parquet writers use zstd compression for better\n  compression ratios compared to the previous snappy default\n- **Optimized sort order**: Job and nodestate Parquet files are sorted by\n  cluster, subcluster, and start time for efficient range queries\n\n### Unified Archive Retention and Format Conversion\n\n- **Uniform retention policy**: Job archive retention now supports both JSON and\n  Parquet as target formats under a single, consistent policy configuration\n- **Archive manager tool**: The `tools/archive-manager` utility now supports\n  format conversion between JSON and Parquet job archives\n- **Parquet reader**: Full Parquet archive reader implementation for reading back\n  archived job data\n\n## New features and improvements\n\n### Frontend\n\n- **Loading indicators**: Added loading indicators to status detail and job lists\n- **Job info layout**: Reviewed and improved job info row layout\n- **Metric selection**: Enhanced metric selection with drag-and-drop fixes\n- **Filter presets**: Move list filter preset to URL for easy sharing\n- **Job comparison**: Improved job comparison views and plots\n- **Subcluster reactivity**: Job list now reacts to subcluster filter changes\n- **Short jobs quick selection**: New \"Short jobs\" quick-filter button in job lists\n  replaces the removed undocumented `minRunningFor` filter\n- **Row plot cursor sync**: Cursor position is now synchronized across all metric\n  plots in a job list row for easier cross-metric comparison\n- **Disabled metrics handling**: Improved handling and display of disabled metrics\n  across job view, node view, and list rows\n- **\"Not configured\" info cards**: Informational cards shown when optional features\n  are not yet configured\n- **Frontend dependencies**: Bumped frontend dependencies to latest versions\n- **Svelte 5 compatibility**: Fixed Svelte state warnings and compatibility issues\n\n### Backend\n\n- **Progress bars**: Import function now shows progress during long operations\n- **Better logging**: Improved logging with appropriate log levels throughout\n- **Graceful shutdown**: Fixed shutdown timeout bugs and hanging issues\n- **Configuration defaults**: Sensible defaults for most configuration options\n- **Documentation**: Extensive documentation improvements across packages\n- **Server flag in systemd unit**: Example systemd unit now includes the `-server` flag\n\n### Security\n\n- **LDAP security hardening**: Improved input validation, connection handling, and\n  error reporting in the LDAP authenticator\n- **OIDC security hardening**: Stricter token validation and improved error handling\n  in the OIDC authenticator\n- **Auth schema extensions**: Additional schema fields for improved auth configuration\n\n### API improvements\n\n- **Role-based metric visibility**: Metrics can now have role-based access control\n- **Job exclusivity filter**: New filter for exclusive vs. shared jobs\n- **Improved error messages**: Better error messages and documentation in REST API\n- **GraphQL enhancements**: Improved GraphQL queries and resolvers\n- **Stop job lookup order**: Reversed lookup order in stop job requests for\n  more reliable job matching (cluster+jobId first, then jobId alone)\n\n### Performance\n\n- **Database indices**: Optimized SQLite indices for better query performance\n- **Job cache**: Introduced caching table for faster job inserts\n- **Parallel imports**: Archive imports now run in parallel where possible\n- **External tool integration**: Optimized use of external tools (fd) for better performance\n- **Node repository queries**: Reviewed and optimized node repository SQL queries\n- **Buffer pool**: Resized and pooled internal buffers for better memory reuse\n\n### Developer experience\n\n- **AI agent guidelines**: Added documentation for AI coding agents (AGENTS.md, CLAUDE.md)\n- **Example API payloads**: Added example JSON API payloads for testing\n- **Unit tests**: Added more unit tests for NATS API, node repository, and other components\n- **Test improvements**: Better test coverage; test DB is now copied before unit tests\n  to avoid state pollution between test runs\n- **Parquet writer tests**: Comprehensive tests for Parquet archive writing and conversion\n\n## Bug fixes\n\n- Fixed nodelist paging issues\n- Fixed metric select drag and drop functionality\n- Fixed render race conditions in nodeList\n- Fixed tag count grouping including type\n- Fixed wrong metricstore schema (missing comma)\n- Fixed configuration issues causing shutdown hangs\n- Fixed deadlock when NATS is not configured\n- Fixed archive backend performance bugs\n- Fixed continuous scroll buildup on refresh\n- Improved footprint calculation logic\n- Fixed polar plot data query decoupling\n- Fixed missing resolution parameter handling\n- Fixed node table initialization fallback\n- Fixed reactivity key placement in nodeList\n- Fixed nodeList resolver data handling and increased nodestate filter cutoff\n- Fixed job always being transferred to main job table before archiving\n- Fixed AppTagger error handling and logging\n- Fixed log endpoint formatting and correctness\n- Fixed automatic refresh in metric status tab\n- Fixed NULL value handling in `health_state` and `health_metrics` columns\n- Fixed bugs related to `job_cache` IDs being used in the main job table\n- Fixed SyncJobs bug causing start job hooks to be called with wrong (cache) IDs\n- Fixed 404 handler route for sub-routers\n\n## Configuration changes\n\n### New configuration options\n\n```json\n{\n  \"main\": {\n    \"enable-job-taggers\": true,\n    \"resampling\": {\n      \"minimum-points\": 600,\n      \"trigger\": 180,\n      \"resolutions\": [240, 60]\n    },\n    \"api-subjects\": {\n      \"subject-job-event\": \"cc.job.event\",\n      \"subject-node-state\": \"cc.node.state\"\n    }\n  },\n  \"nats\": {\n    \"address\": \"nats://0.0.0.0:4222\",\n    \"username\": \"root\",\n    \"password\": \"root\"\n  },\n  \"cron\": {\n    \"commit-job-worker\": \"1m\",\n    \"duration-worker\": \"5m\",\n    \"footprint-worker\": \"10m\"\n  },\n  \"metric-store\": {\n    \"cleanup\": {\n      \"mode\": \"archive\",\n      \"interval\": \"48h\",\n      \"directory\": \"./var/archive\"\n    }\n  },\n  \"archive\": {\n    \"retention\": {\n      \"policy\": \"delete\",\n      \"age\": \"6months\",\n      \"target-format\": \"parquet\"\n    }\n  },\n  \"nodestate\": {\n    \"retention\": {\n      \"policy\": \"archive\",\n      \"age\": \"30d\",\n      \"archive-path\": \"./var/nodestate-archive\"\n    }\n  }\n}\n```\n\n## Migration notes\n\n- Review and update your `config.json` to use kebab-case attribute names\n- If using NATS, configure the new `nats` and `api-subjects` sections\n- If using S3 archive backend, configure the new `archive` section options\n- Test the new public dashboard at `/public` route\n- Review cron worker configuration if you need different frequencies\n- If using the archive retention feature, configure the `target-format` option\n  to choose between `json` (default) 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This\nshould not take long. For optimal database performance after the migration it is\nrecommended to apply the new `optimize-db` flag, which runs the sqlite `ANALYZE`\nand `VACUUM` commands. Depending on your database size (more then 40GB) the\n`VACUUM` may take up to 2h. You can also run the `ANALYZE` command manually.\nWhile we are confident that the memory issue with the metricstore cleanup move\npolicy is fixed, it is still recommended to use delete policy for cleanup.\nThis is also the default.\n\n## Changes in 1.5.2\n\n### Bug fixes\n\n- **Memory spike in parquet writer**: Fixed memory spikes when using the\n  metricstore move (archive) policy with the parquet writer. The writer now\n  processes data in a streaming fashion to avoid accumulating large allocations.\n- **Top list query fixes**: Fixed top list queries in analysis and dashboard\n  views.\n- **Exclude down nodes from HealthCheck**: Down nodes are now excluded from\n  health checks in both the REST and NATS handlers.\n- **Node state priority order**: Node state determination now enforces a\n  priority order. Exception: idle+down results in idle.\n- **Blocking ReceiveNats call**: Fixed a blocking NATS receive call in the\n  metricstore.\n\n### Database performance\n\n- **Reduced insert pressure**: Bulk insert operations (node state updates, user\n  and job cache syncs) now use explicit transactions and deferred inserts,\n  significantly reducing write contention on the SQLite database.\n- **SyncJobs wrapped in transaction**: `SyncJobs` now runs inside a transaction\n  for better consistency and reduced lock contention.\n- **Configurable busy timeout**: New `busy-timeout` configuration option for the\n  SQLite connection. This allows tuning how long the driver waits for a locked\n  database before returning an error, which improves resilience under concurrent\n  write load.\n- **Increased default SQLite timeout**: The default SQLite connection timeout\n  has been raised to reduce spurious timeout errors under load.\n- **Optimized stats queries**: Improved sortby handling in stats queries, fixed\n  cache key passing, and simplified a stats query condition that caused an\n  expensive unnecessary subquery.\n\n### NATS API\n\n- **Nodestate health checks in NATS API**: The NATS node state handler now\n  performs the same metric health checks as the REST API handler, including\n  per-subcluster health checks and `MonitoringStateFailed` fallback for nodes\n  without health data.\n\n### Logging improvements\n\n- **Better error context**: Several repository functions now include the calling\n  function name in error messages for easier diagnosis.\n- **Reduced log noise**: `ErrNoRows` (no results found) is no longer logged as\n  an error in `scanRow`; common \"no rows\" paths are now silent.\n- **Debug-level missing metrics**: Warning about missing metrics in the metric\n  store has been downgraded to debug level to reduce log noise in normal\n  operation.\n- **Checkpoint archiving log**: Added an informational log message when the\n  metricstore checkpoint archiving process runs.\n\n### Dependencies\n\n- **cc-lib upgraded**: Updated to latest cc-lib version.\n\n## Known issues\n\n- The new dynamic memory management is not bullet proof yet across restarts.\n  Buffers that are kept outside the retention period may be lost across a\n  restart. We will fix that in a subsequent patch release.\n- To use the new log viewer (which is only working when starting cc-backend with\n  systemd) in the admin interface the user under which the cc-backend process is\n  running has to be allowed to execute the journalctl command.\n- The user configuration keys for the ui have changed. Therefore old user\n  configuration persisted in the database is not used anymore. It is recommended\n  to configure the metrics shown in the ui-config sestion and remove all records\n  in the table after the update.\n- Currently energy footprint metrics of type energy are ignored for calculating\n  total energy.\n- With energy footprint metrics of type power the unit is ignored and it is\n  assumed the metric has the unit Watt.\n\n## Changes in 1.5.1\n\n### Database\n\n- **New migration (version 11)**: Optimized database index count and added covering indexes for stats queries for significantly improved query performance\n- **Migration 9 fix**: Removed redundant indices from migration 9 that are superseded by migration 11\n- **Optional DB optimization flag**: Added `-optimize-db` CLI flag to run `ANALYZE` on demand; removed automatic ANALYZE on startup\n- **Selective stats queries**: Stats queries are now selective, reducing unnecessary computation\n- **User list paging**: Added paging support to the user list for better scalability\n- **SQLite configuration hardening**: Sanitized SQLite configuration with new configurable options; fixes large heap allocations in the SQLite driver\n- **Query cancellation**: Long-running database queries can now be cancelled\n- **Resource leak fix**: Added missing `defer Close()` calls for all query result sets\n\n### Bug fixes\n\n- **Segfault when taggers misconfigured**: Fixed crash when `enable-job-taggers` is set but tagger rule directories are missing\n- **GroupBy stats query complexity**: Reduced complexity for `groupBy` statistics queries\n- **Ranged filter conditions**: Fixed GT and LT conditions in ranged filters\n- **Energy filter preset**: Reduced energy filter preset to a more practical default\n- **JSON validity check**: Fixed wrong field being checked for JSON validity\n- **Tagger float rounding**: Fixed rounding of floats in tagger messages\n- **Node view null safety**: Added null-safe checks in node view to prevent runtime errors\n- **Public dashboard null safety**: Added null-safe checks in the public dashboard to prevent runtime errors\n\n### Frontend\n\n- **Bumped patch versions**: Updated frontend dependencies to latest patch versions\n\n### Documentation\n\n- **New DB config options**: Added new database configuration options to README\n\n---\n\n_The sections below document all features and changes introduced in the 1.5.0 major release, which 1.5.1 is based on._\n\n## Breaking changes\n\n### Configuration changes\n\n- **JSON attribute naming**: All JSON configuration attributes now use `kebab-case`\n  style consistently (e.g., `api-allowed-ips` instead of `apiAllowedIPs`).\n  Update your `config.json` accordingly.\n- **Removed `disable-archive` option**: This obsolete configuration option has been removed.\n- **Removed `clusters` config section**: The separate clusters configuration section\n  has been removed. Cluster information is now derived from the job archive.\n- **`apiAllowedIPs` is now optional**: If not specified, defaults to not\n  restricted.\n\n### Architecture changes\n\n- **Web framework replaced**: Migrated from `gorilla/mux` to `chi` as the HTTP\n  router. This should be transparent to users but affects how middleware and\n  routes are composed. A proper 404 handler is now in place.\n- **MetricStore moved**: The `metricstore` package has been moved from `internal/`\n  to `pkg/` as it is now part of the public API.\n- **MySQL/MariaDB support removed**: Only SQLite is now supported as the database backend.\n- **Archive to Cleanup renaming**: Archive-related functions have been refactored\n  and renamed to \"Cleanup\" for clarity.\n- **`minRunningFor` filter removed**: This undocumented filter has been removed\n  from the API and frontend.\n\n### Dependency changes\n\n- **cc-lib v2.8.0**: Switched to cc-lib version 2 with updated APIs\n- **cclib NATS client**: Now using the cclib NATS client implementation\n- Removed obsolete `util.Float` usage from cclib\n\n## Major new features\n\n### NATS API Integration\n\n- **Real-time job events**: Subscribe to job start/stop events via NATS\n- **Node state updates**: Receive real-time node state changes via NATS\n- **Configurable subjects**: NATS API subjects are now configurable via `api-subjects`\n- **Deadlock fixes**: Improved NATS client stability and graceful shutdown\n\n### Public Dashboard\n\n- **Public-facing interface**: New public dashboard route for external users\n- **DoubleMetricPlot component**: New visualization component for comparing metrics\n- **Improved layout**: Reviewed and optimized dashboard layouts for better readability\n\n### Enhanced Node Management\n\n- **Node state tracking**: New node table in database with timestamp tracking\n- **Node state filtering**: Filter jobs by node state in systems view\n- **Node list enhancements**: Improved paging, filtering, and continuous scroll support\n- **Nodestate retention and archiving**: Node state data is now subject to configurable\n  retention policies and can be archived to Parquet format for long-term storage\n- **Faulty node metric tracking**: Faulty node state metric lists are persisted to the database\n\n### Health Monitoring\n\n- **Health status dashboard**: New dedicated \"Health\" tab in the status details view\n  showing per-node metric health across the cluster\n- **CCMS health check**: Support for querying health status of external\n  cc-metric-store (CCMS) instances via the API\n- **GraphQL health endpoints**: New GraphQL queries and resolvers for health data\n- **Cluster/subcluster filter**: Filter health status view by cluster or subcluster\n\n### Log Viewer\n\n- **Web-based log viewer**: New log viewer page in the admin interface for inspecting\n  backend log output directly from the browser without shell access\n- **Accessible from header**: Quick access link from the navigation header\n\n### MetricStore Improvements\n\n- **Memory tracking worker**: New worker for CCMS memory usage tracking\n- **Dynamic retention**: Support for job specific dynamic retention times\n- **Improved compression**: Transparent compression for job archive imports\n- **Parallel processing**: Parallelized Iter function in all archive backends\n\n### Job Tagging System\n\n- **Job tagger option**: Enable automatic job tagging via configuration flag\n- **Application detection**: Automatic detection of applications (MATLAB, GROMACS, etc.)\n- **Job classification**: Automatic detection of pathological jobs\n- **omit-tagged**: Option to exclude tagged jobs from retention/cleanup operations (`none`, `all`, or `user`)\n- **Admin UI trigger**: Taggers can be run on-demand from the admin web interface\n  without restarting the backend\n\n### Archive Backends\n\n- **Parquet archive format**: New Parquet file format for job archiving, providing\n  columnar storage with efficient compression for analytical workloads\n- **S3 backend**: Full support for S3-compatible object storage\n- **SQLite backend**: Full support for SQLite backend using blobs\n- **Performance improvements**: Fixed performance bugs in archive backends\n- **Better error handling**: Improved error messages and fallback handling\n- **Zstd compression**: Parquet writers use zstd compression for better\n  compression ratios compared to the previous snappy default\n- **Optimized sort order**: Job and nodestate Parquet files are sorted by\n  cluster, subcluster, and start time for efficient range queries\n\n### Unified Archive Retention and Format Conversion\n\n- **Uniform retention policy**: Job archive retention now supports both JSON and\n  Parquet as target formats under a single, consistent policy configuration\n- **Archive manager tool**: The `tools/archive-manager` utility now supports\n  format conversion between JSON and Parquet job archives\n- **Parquet reader**: Full Parquet archive reader implementation for reading back\n  archived job data\n\n## New features and improvements\n\n### Frontend\n\n- **Loading indicators**: Added loading indicators to status detail and job lists\n- **Job info layout**: Reviewed and improved job info row layout\n- **Metric selection**: Enhanced metric selection with drag-and-drop fixes\n- **Filter presets**: Move list filter preset to URL for easy sharing\n- **Job comparison**: Improved job comparison views and plots\n- **Subcluster reactivity**: Job list now reacts to subcluster filter changes\n- **Short jobs quick selection**: New \"Short jobs\" quick-filter button in job lists\n  replaces the removed undocumented `minRunningFor` filter\n- **Row plot cursor sync**: Cursor position is now synchronized across all metric\n  plots in a job list row for easier cross-metric comparison\n- **Disabled metrics handling**: Improved handling and display of disabled metrics\n  across job view, node view, and list rows\n- **\"Not configured\" info cards**: Informational cards shown when optional features\n  are not yet configured\n- **Frontend dependencies**: Bumped frontend dependencies to latest versions\n- **Svelte 5 compatibility**: Fixed Svelte state warnings and compatibility issues\n\n### Backend\n\n- **Progress bars**: Import function now shows progress during long operations\n- **Better logging**: Improved logging with appropriate log levels throughout\n- **Graceful shutdown**: Fixed shutdown timeout bugs and hanging issues\n- **Configuration defaults**: Sensible defaults for most configuration options\n- **Documentation**: Extensive documentation improvements across packages\n- **Server flag in systemd unit**: Example systemd unit now includes the `-server` flag\n\n### Security\n\n- **LDAP security hardening**: Improved input validation, connection handling, and\n  error reporting in the LDAP authenticator\n- **OIDC security hardening**: Stricter token validation and improved error handling\n  in the OIDC authenticator\n- **Auth schema extensions**: Additional schema fields for improved auth configuration\n\n### API improvements\n\n- **Role-based metric visibility**: Metrics can now have role-based access control\n- **Job exclusivity filter**: New filter for exclusive vs. shared jobs\n- **Improved error messages**: Better error messages and documentation in REST API\n- **GraphQL enhancements**: Improved GraphQL queries and resolvers\n- **Stop job lookup order**: Reversed lookup order in stop job requests for\n  more reliable job matching (cluster+jobId first, then jobId alone)\n\n### Performance\n\n- **Database indices**: Optimized SQLite indices for better query performance\n- **Job cache**: Introduced caching table for faster job inserts\n- **Parallel imports**: Archive imports now run in parallel where possible\n- **External tool integration**: Optimized use of external tools (fd) for better performance\n- **Node repository queries**: Reviewed and optimized node repository SQL queries\n- **Buffer pool**: Resized and pooled internal buffers for better memory reuse\n\n### Developer experience\n\n- **AI agent guidelines**: Added documentation for AI coding agents (AGENTS.md, CLAUDE.md)\n- **Example API payloads**: Added example JSON API payloads for testing\n- **Unit tests**: Added more unit tests for NATS API, node repository, and other components\n- **Test improvements**: Better test coverage; test DB is now copied before unit tests\n  to avoid state pollution between test runs\n- **Parquet writer tests**: Comprehensive tests for Parquet archive writing and conversion\n\n## Bug fixes\n\n- Fixed nodelist paging issues\n- Fixed metric select drag and drop functionality\n- Fixed render race conditions in nodeList\n- Fixed tag count grouping including type\n- Fixed wrong metricstore schema (missing comma)\n- Fixed configuration issues causing shutdown hangs\n- Fixed deadlock when NATS is not configured\n- Fixed archive backend performance bugs\n- Fixed continuous scroll buildup on refresh\n- Improved footprint calculation logic\n- Fixed polar plot data query decoupling\n- Fixed missing resolution parameter handling\n- Fixed node table initialization fallback\n- Fixed reactivity key placement in nodeList\n- Fixed nodeList resolver data handling and increased nodestate filter cutoff\n- Fixed job always being transferred to main job table before archiving\n- Fixed AppTagger error handling and logging\n- Fixed log endpoint formatting and correctness\n- Fixed automatic refresh in metric status tab\n- Fixed NULL value handling in `health_state` and `health_metrics` columns\n- Fixed bugs related to `job_cache` IDs being used in the main job table\n- Fixed SyncJobs bug causing start job hooks to be called with wrong (cache) IDs\n- Fixed 404 handler route for sub-routers\n\n## Configuration changes\n\n### New configuration options\n\n```json\n{\n  \"main\": {\n    \"enable-job-taggers\": true,\n    \"resampling\": {\n      \"minimum-points\": 600,\n      \"trigger\": 180,\n      \"resolutions\": [240, 60]\n    },\n    \"api-subjects\": {\n      \"subject-job-event\": \"cc.job.event\",\n      \"subject-node-state\": \"cc.node.state\"\n    }\n  },\n  \"nats\": {\n    \"address\": \"nats://0.0.0.0:4222\",\n    \"username\": \"root\",\n    \"password\": \"root\"\n  },\n  \"cron\": {\n    \"commit-job-worker\": \"1m\",\n    \"duration-worker\": \"5m\",\n   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This\nshould not take long. For optimal database performance after the migration it is\nrecommended to apply the new `optimize-db` flag, which runs the sqlite `ANALYZE`\nand `VACUUM` commands. Depending on your database size (more then 40GB) the\n`VACUUM` may take up to 2h. You can also run the `ANALYZE` command manually.\nWhile we are confident that the memory issue with the metricstore cleanup move\npolicy is fixed, it is still recommended to use delete policy for cleanup.\nThis is also the default.\n\n## Changes in 1.5.2\n\n### Bug fixes\n\n- **Memory spike in parquet writer**: Fixed memory spikes when using the\n  metricstore move (archive) policy with the parquet writer. The writer now\n  processes data in a streaming fashion to avoid accumulating large allocations.\n- **Top list query fixes**: Fixed top list queries in analysis and dashboard\n  views.\n- **Exclude down nodes from HealthCheck**: Down nodes are now excluded from\n  health checks in both the REST and NATS handlers.\n- **Node state priority order**: Node state determination now enforces a\n  priority order. Exception: idle+down results in idle.\n- **Blocking ReceiveNats call**: Fixed a blocking NATS receive call in the\n  metricstore.\n\n### Database performance\n\n- **Reduced insert pressure**: Bulk insert operations (node state updates, user\n  and job cache syncs) now use explicit transactions and deferred inserts,\n  significantly reducing write contention on the SQLite database.\n- **SyncJobs wrapped in transaction**: `SyncJobs` now runs inside a transaction\n  for better consistency and reduced lock contention.\n- **Configurable busy timeout**: New `busy-timeout` configuration option for the\n  SQLite connection. This allows tuning how long the driver waits for a locked\n  database before returning an error, which improves resilience under concurrent\n  write load.\n- **Increased default SQLite timeout**: The default SQLite connection timeout\n  has been raised to reduce spurious timeout errors under load.\n- **Optimized stats queries**: Improved sortby handling in stats queries, fixed\n  cache key passing, and simplified a stats query condition that caused an\n  expensive unnecessary subquery.\n\n### MetricStore performance\n\n- **Sharded WAL consumer**: The WAL consumer is now sharded for significantly\n  higher write throughput.\n- **NATS contention fix**: Fixed contention in the metricstore NATS ingestion\n  path.\n\n### NATS API\n\n- **Nodestate health checks in NATS API**: The NATS node state handler now\n  performs the same metric health checks as the REST API handler, including\n  per-subcluster health checks and `MonitoringStateFailed` fallback for nodes\n  without health data.\n\n### Logging improvements\n\n- **Better error context**: Several repository functions now include the calling\n  function name in error messages for easier diagnosis.\n- **Reduced log noise**: `ErrNoRows` (no results found) is no longer logged as\n  an error in `scanRow`; common \"no rows\" paths are now silent.\n- **Debug-level missing metrics**: Warning about missing metrics in the metric\n  store has been downgraded to debug level to reduce log noise in normal\n  operation.\n- **Checkpoint archiving log**: Added an informational log message when the\n  metricstore checkpoint archiving process runs.\n\n### Dependencies\n\n- **cc-lib upgraded**: Updated to latest cc-lib version.\n\n## Known issues\n\n- The new dynamic memory management is not bullet proof yet across restarts.\n  Buffers that are kept outside the retention period may be lost across a\n  restart. We will fix that in a subsequent patch release.\n- To use the new log viewer (which is only working when starting cc-backend with\n  systemd) in the admin interface the user under which the cc-backend process is\n  running has to be allowed to execute the journalctl command.\n- The user configuration keys for the ui have changed. Therefore old user\n  configuration persisted in the database is not used anymore. It is recommended\n  to configure the metrics shown in the ui-config sestion and remove all records\n  in the table after the update.\n- Currently energy footprint metrics of type energy are ignored for calculating\n  total energy.\n- With energy footprint metrics of type power the unit is ignored and it is\n  assumed the metric has the unit Watt.\n\n## Changes in 1.5.1\n\n### Database\n\n- **New migration (version 11)**: Optimized database index count and added covering indexes for stats queries for significantly improved query performance\n- **Migration 9 fix**: Removed redundant indices from migration 9 that are superseded by migration 11\n- **Optional DB optimization flag**: Added `-optimize-db` CLI flag to run `ANALYZE` on demand; removed automatic ANALYZE on startup\n- **Selective stats queries**: Stats queries are now selective, reducing unnecessary computation\n- **User list paging**: Added paging support to the user list for better scalability\n- **SQLite configuration hardening**: Sanitized SQLite configuration with new configurable options; fixes large heap allocations in the SQLite driver\n- **Query cancellation**: Long-running database queries can now be cancelled\n- **Resource leak fix**: Added missing `defer Close()` calls for all query result sets\n\n### Bug fixes\n\n- **Segfault when taggers misconfigured**: Fixed crash when `enable-job-taggers` is set but tagger rule directories are missing\n- **GroupBy stats query complexity**: Reduced complexity for `groupBy` statistics queries\n- **Ranged filter conditions**: Fixed GT and LT conditions in ranged filters\n- **Energy filter preset**: Reduced energy filter preset to a more practical default\n- **JSON validity check**: Fixed wrong field being checked for JSON validity\n- **Tagger float rounding**: Fixed rounding of floats in tagger messages\n- **Node view null safety**: Added null-safe checks in node view to prevent runtime errors\n- **Public dashboard null safety**: Added null-safe checks in the public dashboard to prevent runtime errors\n\n### Frontend\n\n- **Bumped patch versions**: Updated frontend dependencies to latest patch versions\n\n### Documentation\n\n- **New DB config options**: Added new database configuration options to README\n\n---\n\n_The sections below document all features and changes introduced in the 1.5.0 major release, which 1.5.1 is based on._\n\n## Breaking changes\n\n### Configuration changes\n\n- **JSON attribute naming**: All JSON configuration attributes now use `kebab-case`\n  style consistently (e.g., `api-allowed-ips` instead of `apiAllowedIPs`).\n  Update your `config.json` accordingly.\n- **Removed `disable-archive` option**: This obsolete configuration option has been removed.\n- **Removed `clusters` config section**: The separate clusters configuration section\n  has been removed. Cluster information is now derived from the job archive.\n- **`apiAllowedIPs` is now optional**: If not specified, defaults to not\n  restricted.\n\n### Architecture changes\n\n- **Web framework replaced**: Migrated from `gorilla/mux` to `chi` as the HTTP\n  router. This should be transparent to users but affects how middleware and\n  routes are composed. A proper 404 handler is now in place.\n- **MetricStore moved**: The `metricstore` package has been moved from `internal/`\n  to `pkg/` as it is now part of the public API.\n- **MySQL/MariaDB support removed**: Only SQLite is now supported as the database backend.\n- **Archive to Cleanup renaming**: Archive-related functions have been refactored\n  and renamed to \"Cleanup\" for clarity.\n- **`minRunningFor` filter removed**: This undocumented filter has been removed\n  from the API and frontend.\n\n### Dependency changes\n\n- **cc-lib v2.8.0**: Switched to cc-lib version 2 with updated APIs\n- **cclib NATS client**: Now using the cclib NATS client implementation\n- Removed obsolete `util.Float` usage from cclib\n\n## Major new features\n\n### NATS API Integration\n\n- **Real-time job events**: Subscribe to job start/stop events via NATS\n- **Node state updates**: Receive real-time node state changes via NATS\n- **Configurable subjects**: NATS API subjects are now configurable via `api-subjects`\n- **Deadlock fixes**: Improved NATS client stability and graceful shutdown\n\n### Public Dashboard\n\n- **Public-facing interface**: New public dashboard route for external users\n- **DoubleMetricPlot component**: New visualization component for comparing metrics\n- **Improved layout**: Reviewed and optimized dashboard layouts for better readability\n\n### Enhanced Node Management\n\n- **Node state tracking**: New node table in database with timestamp tracking\n- **Node state filtering**: Filter jobs by node state in systems view\n- **Node list enhancements**: Improved paging, filtering, and continuous scroll support\n- **Nodestate retention and archiving**: Node state data is now subject to configurable\n  retention policies and can be archived to Parquet format for long-term storage\n- **Faulty node metric tracking**: Faulty node state metric lists are persisted to the database\n\n### Health Monitoring\n\n- **Health status dashboard**: New dedicated \"Health\" tab in the status details view\n  showing per-node metric health across the cluster\n- **CCMS health check**: Support for querying health status of external\n  cc-metric-store (CCMS) instances via the API\n- **GraphQL health endpoints**: New GraphQL queries and resolvers for health data\n- **Cluster/subcluster filter**: Filter health status view by cluster or subcluster\n\n### Log Viewer\n\n- **Web-based log viewer**: New log viewer page in the admin interface for inspecting\n  backend log output directly from the browser without shell access\n- **Accessible from header**: Quick access link from the navigation header\n\n### MetricStore Improvements\n\n- **Memory tracking worker**: New worker for CCMS memory usage tracking\n- **Dynamic retention**: Support for job specific dynamic retention times\n- **Improved compression**: Transparent compression for job archive imports\n- **Parallel processing**: Parallelized Iter function in all archive backends\n\n### Job Tagging System\n\n- **Job tagger option**: Enable automatic job tagging via configuration flag\n- **Application detection**: Automatic detection of applications (MATLAB, GROMACS, etc.)\n- **Job classification**: Automatic detection of pathological jobs\n- **omit-tagged**: Option to exclude tagged jobs from retention/cleanup operations (`none`, `all`, or `user`)\n- **Admin UI trigger**: Taggers can be run on-demand from the admin web interface\n  without restarting the backend\n\n### Archive Backends\n\n- **Parquet archive format**: New Parquet file format for job archiving, providing\n  columnar storage with efficient compression for analytical workloads\n- **S3 backend**: Full support for S3-compatible object storage\n- **SQLite backend**: Full support for SQLite backend using blobs\n- **Performance improvements**: Fixed performance bugs in archive backends\n- **Better error handling**: Improved error messages and fallback handling\n- **Zstd compression**: Parquet writers use zstd compression for better\n  compression ratios compared to the previous snappy default\n- **Optimized sort order**: Job and nodestate Parquet files are sorted by\n  cluster, subcluster, and start time for efficient range queries\n\n### Unified Archive Retention and Format Conversion\n\n- **Uniform retention policy**: Job archive retention now supports both JSON and\n  Parquet as target formats under a single, consistent policy configuration\n- **Archive manager tool**: The `tools/archive-manager` utility now supports\n  format conversion between JSON and Parquet job archives\n- **Parquet reader**: Full Parquet archive reader implementation for reading back\n  archived job data\n\n## New features and improvements\n\n### Frontend\n\n- **Loading indicators**: Added loading indicators to status detail and job lists\n- **Job info layout**: Reviewed and improved job info row layout\n- **Metric selection**: Enhanced metric selection with drag-and-drop fixes\n- **Filter presets**: Move list filter preset to URL for easy sharing\n- **Job comparison**: Improved job comparison views and plots\n- **Subcluster reactivity**: Job list now reacts to subcluster filter changes\n- **Short jobs quick selection**: New \"Short jobs\" quick-filter button in job lists\n  replaces the removed undocumented `minRunningFor` filter\n- **Row plot cursor sync**: Cursor position is now synchronized across all metric\n  plots in a job list row for easier cross-metric comparison\n- **Disabled metrics handling**: Improved handling and display of disabled metrics\n  across job view, node view, and list rows\n- **\"Not configured\" info cards**: Informational cards shown when optional features\n  are not yet configured\n- **Frontend dependencies**: Bumped frontend dependencies to latest versions\n- **Svelte 5 compatibility**: Fixed Svelte state warnings and compatibility issues\n\n### Backend\n\n- **Progress bars**: Import function now shows progress during long operations\n- **Better logging**: Improved logging with appropriate log levels throughout\n- **Graceful shutdown**: Fixed shutdown timeout bugs and hanging issues\n- **Configuration defaults**: Sensible defaults for most configuration options\n- **Documentation**: Extensive documentation improvements across packages\n- **Server flag in systemd unit**: Example systemd unit now includes the `-server` flag\n\n### Security\n\n- **LDAP security hardening**: Improved input validation, connection handling, and\n  error reporting in the LDAP authenticator\n- **OIDC security hardening**: Stricter token validation and improved error handling\n  in the OIDC authenticator\n- **Auth schema extensions**: Additional schema fields for improved auth configuration\n\n### API improvements\n\n- **Role-based metric visibility**: Metrics can now have role-based access control\n- **Job exclusivity filter**: New filter for exclusive vs. shared jobs\n- **Improved error messages**: Better error messages and documentation in REST API\n- **GraphQL enhancements**: Improved GraphQL queries and resolvers\n- **Stop job lookup order**: Reversed lookup order in stop job requests for\n  more reliable job matching (cluster+jobId first, then jobId alone)\n\n### Performance\n\n- **Database indices**: Optimized SQLite indices for better query performance\n- **Job cache**: Introduced caching table for faster job inserts\n- **Parallel imports**: Archive imports now run in parallel where possible\n- **External tool integration**: Optimized use of external tools (fd) for better performance\n- **Node repository queries**: Reviewed and optimized node repository SQL queries\n- **Buffer pool**: Resized and pooled internal buffers for better memory reuse\n\n### Developer experience\n\n- **AI agent guidelines**: Added documentation for AI coding agents (AGENTS.md, CLAUDE.md)\n- **Example API payloads**: Added example JSON API payloads for testing\n- **Unit tests**: Added more unit tests for NATS API, node repository, and other components\n- **Test improvements**: Better test coverage; test DB is now copied before unit tests\n  to avoid state pollution between test runs\n- **Parquet writer tests**: Comprehensive tests for Parquet archive writing and conversion\n\n## Bug fixes\n\n- Fixed nodelist paging issues\n- Fixed metric select drag and drop functionality\n- Fixed render race conditions in nodeList\n- Fixed tag count grouping including type\n- Fixed wrong metricstore schema (missing comma)\n- Fixed configuration issues causing shutdown hangs\n- Fixed deadlock when NATS is not configured\n- Fixed archive backend performance bugs\n- Fixed continuous scroll buildup on refresh\n- Improved footprint calculation logic\n- Fixed polar plot data query decoupling\n- Fixed missing resolution parameter handling\n- Fixed node table initialization fallback\n- Fixed reactivity key placement in nodeList\n- Fixed nodeList resolver data handling and increased nodestate filter cutoff\n- Fixed job always being transferred to main job table before archiving\n- Fixed AppTagger error handling and logging\n- Fixed log endpoint formatting and correctness\n- Fixed automatic refresh in metric status tab\n- Fixed NULL value handling in `health_state` and `health_metrics` columns\n- Fixed bugs related to `job_cache` IDs being used in the main job table\n- Fixed SyncJobs bug causing start job hooks to be called with wrong (cache) IDs\n- Fixed 404 handler route for sub-routers\n\n## Configuration changes\n\n### New configuration options\n\n```json\n{\n  \"main\": {\n    \"enable-job-taggers\": true,\n    \"resampling\": {\n      \"minimum-points\": 600,\n      \"trigger\": 180,\n      \"resolutions\": [240, 60]\n    },\n    \"api-subjects\": {\n      \"subject-job-event\": \"cc.job.event\",\n      \"subject-node-state\": \"cc.node.state\"\n    }\n  },\n  \"nats\": {\n    \"address\": \"nats://0.0.0.0:4222\",\n    \"username\": \"root\",\n    \"password\": \"root\"\n  },\n  \"cron\": {\n    \"commit-job-worker\": \"1m\",\n    \"duration-worker\": \"5m\",\n   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diff --git a/30/099a746fc7/0/prompt.txt b/30/099a746fc7/0/prompt.txt
new file mode 100644
index 00000000..fe0f1337
--- /dev/null
+++ b/30/099a746fc7/0/prompt.txt
@@ -0,0 +1,5 @@
+Check if there are points missing in the ReleaseNotes for the upcoming v1.5.2 release
+
+---
+
+Add the points as suggested
\ No newline at end of file
diff --git a/30/099a746fc7/metadata.json b/30/099a746fc7/metadata.json
new file mode 100644
index 00000000..7bb20f32
--- /dev/null
+++ b/30/099a746fc7/metadata.json
@@ -0,0 +1,25 @@
+{
+  "cli_version": "0.5.0",
+  "checkpoint_id": "30099a746fc7",
+  "strategy": "manual-commit",
+  "branch": "hotfix",
+  "checkpoints_count": 2,
+  "files_touched": [
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+  ],
+  "sessions": [
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+      "transcript": "/30/099a746fc7/0/full.jsonl",
+      "content_hash": "/30/099a746fc7/0/content_hash.txt",
+      "prompt": "/30/099a746fc7/0/prompt.txt"
+    }
+  ],
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+    "cache_creation_tokens": 24474,
+    "cache_read_tokens": 240011,
+    "output_tokens": 4294,
+    "api_call_count": 9
+  }
+}
diff --git a/38/a235c86ceb/0/content_hash.txt b/38/a235c86ceb/0/content_hash.txt
new file mode 100644
index 00000000..321f6544
--- /dev/null
+++ b/38/a235c86ceb/0/content_hash.txt
@@ -0,0 +1 @@
+sha256:3498cd38117b5191a5fea47c442d19126faae98c86041a527b23b0e84bf8ed42
\ No newline at end of file
diff --git a/38/a235c86ceb/0/full.jsonl b/38/a235c86ceb/0/full.jsonl
new file mode 100644
index 00000000..39afcfc4
--- /dev/null
+++ b/38/a235c86ceb/0/full.jsonl
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+{"parentUuid":"6e47e120-4d61-402d-a1b3-1f979008a883","isSidechain":false,"promptId":"53f7aeff-f280-4fa6-a195-55ff40087d7e","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Fix WAL Channel Saturation (3M+ messages dropped)\n\n## Context\n\nAfter the initial slow-consumer fixes (multi-worker decode, non-blocking WAL send, 65K channel buffer, 256-batch drain), the WAL channel is still permanently full. 3M+ messages are being dropped — the single `WALStaging` goroutine fundamentally cannot keep up with `NumWorkers` concurrent decode goroutines producing WAL messages.\n\n## Root Cause\n\nThe single `WALStaging` goroutine is the bottleneck. For every message it must:\n1. `path.Join()` to build hostDir string — **allocates**\n2. Map lookup in `hostFiles`\n3. `buildWALPayload()` — **allocates a new `[]byte`** per message\n4. `writeWALRecord()` — **allocates another `[]byte`** (record = magic+len+payload+crc)\n5. `bufio.Write()` — copies into buffer, occasionally flushes to disk\n\nWith `NumWorkers` producers (e.g., 5-10 goroutines) each decoding batches of metrics, the single consumer cannot match. The 65K channel buffer fills in seconds, then every message is dropped.\n\n## Plan: Sharded WAL Writers\n\nReplace the single `WALStaging` goroutine with **N sharded writer goroutines**, each owning a subset of hosts. Messages are routed to shards by hashing `cluster+node`. This:\n- Parallelizes serialization and I/O across goroutines\n- Keeps per-host writes serial (required for correct WAL files)\n- Eliminates the single-goroutine bottleneck entirely\n\nAdditionally, eliminate per-message heap allocations in `buildWALPayload`/`writeWALRecord` by encoding directly into the `bufio.Writer`.\n\n### Change 1: Sharded WAL writer goroutines\n**File:** `pkg/metricstore/walCheckpoint.go`\n\nReplace the single `WALMessages` channel + `WALStaging()` goroutine with:\n\n```go\nconst walShards = 16  // or NumWorkers\n\n// Per-shard channel + goroutine\nvar walShardChs []chan *WALMessage\n\nfunc walShard(msg *WALMessage) int {\n    // FNV-1a hash of cluster+node, mod shard count\n    h := fnv.New32a()\n    h.Write([]byte(msg.Cluster))\n    h.Write([]byte{0})\n    h.Write([]byte(msg.Node))\n    return int(h.Sum32()) % len(walShardChs)\n}\n```\n\nEach shard goroutine:\n- Owns its own `hostFiles` map (no contention)\n- Drains its channel with the existing batch-drain pattern\n- Handles rotate requests for its hosts\n\n**Shard count:** Use `NumWorkers` (already configured, sensible default).\n\n**Channel buffer per shard:** `65536 / numShards` — same total memory, but each shard only buffers its hosts.\n\n### Change 2: Eliminate per-message allocations\n**File:** `pkg/metricstore/walCheckpoint.go`\n\nReplace `buildWALPayload()` → `writeWALRecord()` (2 allocations per message) with `writeWALRecordDirect(w *bufio.Writer, msg *WALMessage)` that encodes directly into the `bufio.Writer` using a small stack-allocated scratch buffer:\n\n```go\nfunc writeWALRecordDirect(w *bufio.Writer, msg *WALMessage) error {\n    // Build payload into a pooled or stack buffer, compute CRC inline,\n    // write magic+len, then payload, then CRC — all directly to w.\n    // Zero heap allocations in the hot path.\n    var scratch [128]byte  // stack-allocated, covers most records\n    // ... encode payload into scratch or a pooled []byte if >128 ...\n}\n```\n\nKeep the old `writeWALRecord`/`buildWALPayload` for use in tests or non-hot paths, but the shard goroutines use the direct version.\n\n### Change 3: Route WAL sends to shards from DecodeLine\n**File:** `pkg/metricstore/lineprotocol.go:355-372`\n\nReplace:\n```go\nselect {\ncase WALMessages <- msg:\ndefault:\n    // dropped\n}\n```\nWith:\n```go\nshard := walShard(msg)\nselect {\ncase walShardChs[shard] <- msg:\ndefault:\n    // dropped\n}\n```\n\n### Change 4: Shard-aware rotation\n**File:** `pkg/metricstore/walCheckpoint.go`\n\n`RotateWALFiles` must send rotate requests to the correct shard. Each shard has its own `walRotateCh`. The checkpoint goroutine hashes the hostDir to find the right shard and sends the rotate request there.\n\n### Change 5: Shutdown\n**File:** `pkg/metricstore/metricstore.go` (Shutdown function)\n\nClose all shard channels instead of the single `WALMessages` channel. Each shard goroutine drains and flushes on close.\n\n## Files to Modify\n\n- `pkg/metricstore/walCheckpoint.go` — sharded goroutines, direct record writing, shard-aware rotation\n- `pkg/metricstore/lineprotocol.go` — route WAL sends to shard channels\n- `pkg/metricstore/metricstore.go` — `WALStaging()` call updated, `Shutdown()` closes shard channels\n\n## Verification\n\n1. `go build ./...`\n2. `go test ./pkg/metricstore/...`\n3. Deploy and verify:\n   - WAL drop count stays at 0 (or near-zero during extreme bursts)\n   - WAL files are correct (load a checkpoint, verify data)\n   - No \"WAL channel full\" log messages\n   - Memory usage roughly same (total channel buffer size unchanged)\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/5eb20a94-f8df-4979-a0ae-2aa99bfad884.jsonl"},"uuid":"e61b6d31-15d1-4b25-a4d5-dc4c0ddd1260","timestamp":"2026-03-18T05:29:19.088Z","planContent":"# Fix WAL Channel Saturation (3M+ messages dropped)\n\n## Context\n\nAfter the initial slow-consumer fixes (multi-worker decode, non-blocking WAL send, 65K channel buffer, 256-batch drain), the WAL channel is still permanently full. 3M+ messages are being dropped — the single `WALStaging` goroutine fundamentally cannot keep up with `NumWorkers` concurrent decode goroutines producing WAL messages.\n\n## Root Cause\n\nThe single `WALStaging` goroutine is the bottleneck. For every message it must:\n1. `path.Join()` to build hostDir string — **allocates**\n2. Map lookup in `hostFiles`\n3. `buildWALPayload()` — **allocates a new `[]byte`** per message\n4. `writeWALRecord()` — **allocates another `[]byte`** (record = magic+len+payload+crc)\n5. `bufio.Write()` — copies into buffer, occasionally flushes to disk\n\nWith `NumWorkers` producers (e.g., 5-10 goroutines) each decoding batches of metrics, the single consumer cannot match. The 65K channel buffer fills in seconds, then every message is dropped.\n\n## Plan: Sharded WAL Writers\n\nReplace the single `WALStaging` goroutine with **N sharded writer goroutines**, each owning a subset of hosts. Messages are routed to shards by hashing `cluster+node`. This:\n- Parallelizes serialization and I/O across goroutines\n- Keeps per-host writes serial (required for correct WAL files)\n- Eliminates the single-goroutine bottleneck entirely\n\nAdditionally, eliminate per-message heap allocations in `buildWALPayload`/`writeWALRecord` by encoding directly into the `bufio.Writer`.\n\n### Change 1: Sharded WAL writer goroutines\n**File:** `pkg/metricstore/walCheckpoint.go`\n\nReplace the single `WALMessages` channel + `WALStaging()` goroutine with:\n\n```go\nconst walShards = 16  // or NumWorkers\n\n// Per-shard channel + goroutine\nvar walShardChs []chan *WALMessage\n\nfunc walShard(msg *WALMessage) int {\n    // FNV-1a hash of cluster+node, mod shard count\n    h := fnv.New32a()\n    h.Write([]byte(msg.Cluster))\n    h.Write([]byte{0})\n    h.Write([]byte(msg.Node))\n    return int(h.Sum32()) % len(walShardChs)\n}\n```\n\nEach shard goroutine:\n- Owns its own `hostFiles` map (no contention)\n- Drains its channel with the existing batch-drain pattern\n- Handles rotate requests for its hosts\n\n**Shard count:** Use `NumWorkers` (already configured, sensible default).\n\n**Channel buffer per shard:** `65536 / numShards` — same total memory, but each shard only buffers its hosts.\n\n### Change 2: Eliminate per-message allocations\n**File:** `pkg/metricstore/walCheckpoint.go`\n\nReplace `buildWALPayload()` → `writeWALRecord()` (2 allocations per message) with `writeWALRecordDirect(w *bufio.Writer, msg *WALMessage)` that encodes directly into the `bufio.Writer` using a small stack-allocated scratch buffer:\n\n```go\nfunc writeWALRecordDirect(w *bufio.Writer, msg *WALMessage) error {\n    // Build payload into a pooled or stack buffer, compute CRC inline,\n    // write magic+len, then payload, then CRC — all directly to w.\n    // Zero heap allocations in the hot path.\n    var scratch [128]byte  // stack-allocated, covers most records\n    // ... encode payload into scratch or a pooled []byte if >128 ...\n}\n```\n\nKeep the old `writeWALRecord`/`buildWALPayload` for use in tests or non-hot paths, but the shard goroutines use the direct version.\n\n### Change 3: Route WAL sends to shards from DecodeLine\n**File:** `pkg/metricstore/lineprotocol.go:355-372`\n\nReplace:\n```go\nselect {\ncase WALMessages <- msg:\ndefault:\n    // dropped\n}\n```\nWith:\n```go\nshard := walShard(msg)\nselect {\ncase walShardChs[shard] <- msg:\ndefault:\n    // dropped\n}\n```\n\n### Change 4: Shard-aware rotation\n**File:** `pkg/metricstore/walCheckpoint.go`\n\n`RotateWALFiles` must send rotate requests to the correct shard. Each shard has its own `walRotateCh`. The checkpoint goroutine hashes the hostDir to find the right shard and sends the rotate request there.\n\n### Change 5: Shutdown\n**File:** `pkg/metricstore/metricstore.go` (Shutdown function)\n\nClose all shard channels instead of the single `WALMessages` channel. Each shard goroutine drains and flushes on close.\n\n## Files to Modify\n\n- `pkg/metricstore/walCheckpoint.go` — sharded goroutines, direct record writing, shard-aware rotation\n- `pkg/metricstore/lineprotocol.go` — route WAL sends to shard channels\n- `pkg/metricstore/metricstore.go` — `WALStaging()` call updated, `Shutdown()` closes shard channels\n\n## Verification\n\n1. `go build ./...`\n2. `go test ./pkg/metricstore/...`\n3. 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This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n     7→//\n     8→// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n     9→// per host, eliminating the extra memory overhead of the AvroStore and providing\n    10→// truly continuous (per-write) crash safety.\n    11→//\n    12→// # Architecture\n    13→//\n    14→//\tMetric write (DecodeLine)\n    15→//\t      │\n    16→//\t      ├─► WriteToLevel()    → main MemoryStore (unchanged)\n    17→//\t      │\n    18→//\t      └─► WALMessages channel\n    19→//\t               │\n    20→//\t               ▼\n    21→//\t        WALStaging goroutine\n    22→//\t               │\n    23→//\t               ▼\n    24→//\t        checkpoints/cluster/host/current.wal  (append-only, binary)\n    25→//\n    26→//\tPeriodic checkpoint (Checkpointing goroutine):\n    27→//\t  1. Write <timestamp>.bin snapshot (column-oriented, from main tree)\n    28→//\t  2. Signal WALStaging to truncate current.wal per host\n    29→//\n    30→//\tOn restart (FromCheckpoint):\n    31→//\t  1. Load most recent <timestamp>.bin snapshot\n    32→//\t  2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n    33→//\n    34→// # WAL Record Format\n    35→//\n    36→//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n    37→//\n    38→//\tpayload:\n    39→//\t  [8B timestamp int64]\n    40→//\t  [2B metric_name_len uint16][N metric name bytes]\n    41→//\t  [1B selector_count uint8]\n    42→//\t  per selector: [1B selector_len uint8][M selector bytes]\n    43→//\t  [4B value float32 bits]\n    44→//\n    45→// # Binary Snapshot Format\n    46→//\n    47→//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n    48→//\tLevel tree (recursive):\n    49→//\t  [4B num_metrics uint32]\n    50→//\t  per metric:\n    51→//\t    [2B name_len uint16][N name bytes]\n    52→//\t    [8B frequency int64][8B start int64]\n    53→//\t    [4B num_values uint32][num_values × 4B float32]\n    54→//\t  [4B num_children uint32]\n    55→//\t  per child: [2B name_len uint16][N name bytes] + Level (recursive)\n    56→package metricstore\n    57→\n    58→import (\n    59→\t\"bufio\"\n    60→\t\"context\"\n    61→\t\"encoding/binary\"\n    62→\t\"fmt\"\n    63→\t\"hash/crc32\"\n    64→\t\"io\"\n    65→\t\"math\"\n    66→\t\"os\"\n    67→\t\"path\"\n    68→\t\"strings\"\n    69→\t\"sync\"\n    70→\t\"sync/atomic\"\n    71→\n    72→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    73→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    74→)\n    75→\n    76→// Magic numbers for binary formats.\n    77→const (\n    78→\twalFileMagic   = uint32(0xCC1DA701) // WAL file header magic\n    79→\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n    80→\tsnapFileMagic  = uint32(0xCC5B0001) // Binary snapshot magic\n    81→)\n    82→\n    83→// WALMessages is the channel for sending metric writes to the WAL staging goroutine.\n    84→// Buffered to allow burst writes without blocking the metric ingestion path.\n    85→var WALMessages = make(chan *WALMessage, 65536)\n    86→\n    87→// walRotateCh is used by the checkpoint goroutine to request WAL file rotation\n    88→// (close, delete, reopen) after a binary snapshot has been written.\n    89→var walRotateCh = make(chan walRotateReq, 256)\n    90→\n    91→// WALMessage represents a single metric write to be appended to the WAL.\n    92→// Cluster and Node are NOT stored in the WAL record (inferred from file path).\n    93→type WALMessage struct {\n    94→\tMetricName string\n    95→\tCluster    string\n    96→\tNode       string\n    97→\tSelector   []string\n    98→\tValue      schema.Float\n    99→\tTimestamp  int64\n   100→}\n   101→\n   102→// walRotateReq requests WAL file rotation for a specific host directory.\n   103→// The done channel is closed by the WAL goroutine when rotation is complete.\n   104→type walRotateReq struct {\n   105→\thostDir string\n   106→\tdone    chan struct{}\n   107→}\n   108→\n   109→// walFileState holds an open WAL file handle and buffered writer for one host directory.\n   110→type walFileState struct {\n   111→\tf *os.File\n   112→\tw *bufio.Writer\n   113→}\n   114→\n   115→// WALStaging starts a background goroutine that receives WALMessage items\n   116→// and appends binary WAL records to per-host current.wal files.\n   117→// Also handles WAL rotation requests from the checkpoint goroutine.\n   118→func WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n   119→\twg.Go(func() {\n   120→\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n   121→\t\t\treturn\n   122→\t\t}\n   123→\n   124→\t\thostFiles := make(map[string]*walFileState)\n   125→\n   126→\t\tdefer func() {\n   127→\t\t\tfor _, ws := range hostFiles {\n   128→\t\t\t\tif ws.f != nil {\n   129→\t\t\t\t\tws.w.Flush()\n   130→\t\t\t\t\tws.f.Close()\n   131→\t\t\t\t}\n   132→\t\t\t}\n   133→\t\t}()\n   134→\n   135→\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n   136→\t\t\tws, ok := hostFiles[hostDir]\n   137→\t\t\tif ok {\n   138→\t\t\t\treturn ws\n   139→\t\t\t}\n   140→\n   141→\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n   142→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n   143→\t\t\t\treturn nil\n   144→\t\t\t}\n   145→\n   146→\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n   147→\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n   148→\t\t\tif err != nil {\n   149→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n   150→\t\t\t\treturn nil\n   151→\t\t\t}\n   152→\n   153→\t\t\tw := bufio.NewWriter(f)\n   154→\n   155→\t\t\t// Write file header magic if file is new (empty).\n   156→\t\t\tinfo, err := f.Stat()\n   157→\t\t\tif err == nil && info.Size() == 0 {\n   158→\t\t\t\tvar hdr [4]byte\n   159→\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n   160→\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n   161→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n   162→\t\t\t\t\tf.Close()\n   163→\t\t\t\t\treturn nil\n   164→\t\t\t\t}\n   165→\t\t\t}\n   166→\n   167→\t\t\tws = &walFileState{f: f, w: w}\n   168→\t\t\thostFiles[hostDir] = ws\n   169→\t\t\treturn ws\n   170→\t\t}\n   171→\n   172→\t\tprocessMsg := func(msg *WALMessage) {\n   173→\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n   174→\t\t\tws := getOrOpenWAL(hostDir)\n   175→\t\t\tif ws == nil {\n   176→\t\t\t\treturn\n   177→\t\t\t}\n   178→\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n   179→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n   180→\t\t\t}\n   181→\t\t}\n   182→\n   183→\t\tprocessRotate := func(req walRotateReq) {\n   184→\t\t\tws, ok := hostFiles[req.hostDir]\n   185→\t\t\tif ok && ws.f != nil {\n   186→\t\t\t\tws.w.Flush()\n   187→\t\t\t\tws.f.Close()\n   188→\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n   189→\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n   190→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n   191→\t\t\t\t}\n   192→\t\t\t\tdelete(hostFiles, req.hostDir)\n   193→\t\t\t}\n   194→\t\t\tclose(req.done)\n   195→\t\t}\n   196→\n   197→\t\tdrain := func() {\n   198→\t\t\tfor {\n   199→\t\t\t\tselect {\n   200→\t\t\t\tcase msg, ok := <-WALMessages:\n   201→\t\t\t\t\tif !ok {\n   202→\t\t\t\t\t\treturn\n   203→\t\t\t\t\t}\n   204→\t\t\t\t\tprocessMsg(msg)\n   205→\t\t\t\tcase req := <-walRotateCh:\n   206→\t\t\t\t\tprocessRotate(req)\n   207→\t\t\t\tdefault:\n   208→\t\t\t\t\t// Flush all buffered writers after draining remaining messages.\n   209→\t\t\t\t\tfor _, ws := range hostFiles {\n   210→\t\t\t\t\t\tif ws.f != nil {\n   211→\t\t\t\t\t\t\tws.w.Flush()\n   212→\t\t\t\t\t\t}\n   213→\t\t\t\t\t}\n   214→\t\t\t\t\treturn\n   215→\t\t\t\t}\n   216→\t\t\t}\n   217→\t\t}\n   218→\n   219→\t\tfor {\n   220→\t\t\tselect {\n   221→\t\t\tcase <-ctx.Done():\n   222→\t\t\t\tdrain()\n   223→\t\t\t\treturn\n   224→\t\t\tcase msg, ok := <-WALMessages:\n   225→\t\t\t\tif !ok {\n   226→\t\t\t\t\treturn\n   227→\t\t\t\t}\n   228→\t\t\t\tprocessMsg(msg)\n   229→\n   230→\t\t\t\t// Drain up to 256 more messages without blocking to batch writes.\n   231→\t\t\t\tfor range 256 {\n   232→\t\t\t\t\tselect {\n   233→\t\t\t\t\tcase msg, ok := <-WALMessages:\n   234→\t\t\t\t\t\tif !ok {\n   235→\t\t\t\t\t\t\treturn\n   236→\t\t\t\t\t\t}\n   237→\t\t\t\t\t\tprocessMsg(msg)\n   238→\t\t\t\t\tcase req := <-walRotateCh:\n   239→\t\t\t\t\t\tprocessRotate(req)\n   240→\t\t\t\t\tdefault:\n   241→\t\t\t\t\t\tgoto flushed\n   242→\t\t\t\t\t}\n   243→\t\t\t\t}\n   244→\t\t\tflushed:\n   245→\t\t\t\t// Flush all buffered writers after processing the batch.\n   246→\t\t\t\tfor _, ws := range hostFiles {\n   247→\t\t\t\t\tif ws.f != nil {\n   248→\t\t\t\t\t\tws.w.Flush()\n   249→\t\t\t\t\t}\n   250→\t\t\t\t}\n   251→\t\t\tcase req := <-walRotateCh:\n   252→\t\t\t\tprocessRotate(req)\n   253→\t\t\t}\n   254→\t\t}\n   255→\t})\n   256→}\n   257→\n   258→// RotateWALFiles sends rotation requests for the given host directories\n   259→// and blocks until all rotations complete.\n   260→func RotateWALFiles(hostDirs []string) {\n   261→\tdones := make([]chan struct{}, len(hostDirs))\n   262→\tfor i, dir := range hostDirs {\n   263→\t\tdones[i] = make(chan struct{})\n   264→\t\twalRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}\n   265→\t}\n   266→\tfor _, done := range dones {\n   267→\t\t<-done\n   268→\t}\n   269→}\n   270→\n   271→// RotateWALFiles sends rotation requests for the given host directories\n   272→// and blocks until all rotations complete.\n   273→func RotateWALFilesAfterShutdown(hostDirs []string) {\n   274→\tfor _, dir := range hostDirs {\n   275→\t\twalPath := path.Join(dir, \"current.wal\")\n   276→\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n   277→\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n   278→\t\t}\n   279→\t}\n   280→}\n   281→\n   282→// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\n   283→func buildWALPayload(msg *WALMessage) []byte {\n   284→\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n   285→\tfor _, s := range msg.Selector {\n   286→\t\tsize += 1 + len(s)\n   287→\t}\n   288→\n   289→\tbuf := make([]byte, 0, size)\n   290→\n   291→\t// Timestamp (8 bytes, little-endian int64)\n   292→\tvar ts [8]byte\n   293→\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n   294→\tbuf = append(buf, ts[:]...)\n   295→\n   296→\t// Metric name (2-byte length prefix + bytes)\n   297→\tvar mLen [2]byte\n   298→\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n   299→\tbuf = append(buf, mLen[:]...)\n   300→\tbuf = append(buf, msg.MetricName...)\n   301→\n   302→\t// Selector count (1 byte)\n   303→\tbuf = append(buf, byte(len(msg.Selector)))\n   304→\n   305→\t// Selectors (1-byte length prefix + bytes each)\n   306→\tfor _, sel := range msg.Selector {\n   307→\t\tbuf = append(buf, byte(len(sel)))\n   308→\t\tbuf = append(buf, sel...)\n   309→\t}\n   310→\n   311→\t// Value (4 bytes, float32 bit representation)\n   312→\tvar val [4]byte\n   313→\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n   314→\tbuf = append(buf, val[:]...)\n   315→\n   316→\treturn buf\n   317→}\n   318→\n   319→// writeWALRecord appends a binary WAL record to the writer.\n   320→// Format: [4B magic][4B payload_len][payload][4B CRC32]\n   321→func writeWALRecord(w io.Writer, msg *WALMessage) error {\n   322→\tpayload := buildWALPayload(msg)\n   323→\tcrc := crc32.ChecksumIEEE(payload)\n   324→\n   325→\trecord := make([]byte, 0, 4+4+len(payload)+4)\n   326→\n   327→\tvar magic [4]byte\n   328→\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n   329→\trecord = append(record, magic[:]...)\n   330→\n   331→\tvar pLen [4]byte\n   332→\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n   333→\trecord = append(record, pLen[:]...)\n   334→\n   335→\trecord = append(record, payload...)\n   336→\n   337→\tvar crcBytes [4]byte\n   338→\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n   339→\trecord = append(record, crcBytes[:]...)\n   340→\n   341→\t_, err := w.Write(record)\n   342→\treturn err\n   343→}\n   344→\n   345→// readWALRecord reads one WAL record from the reader.\n   346→// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n   347→// A CRC mismatch indicates a truncated trailing record (expected on crash).\n   348→func readWALRecord(r io.Reader) (*WALMessage, error) {\n   349→\tvar magic uint32\n   350→\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n   351→\t\tif err == io.EOF {\n   352→\t\t\treturn nil, nil // Clean EOF\n   353→\t\t}\n   354→\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n   355→\t}\n   356→\n   357→\tif magic != walRecordMagic {\n   358→\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n   359→\t}\n   360→\n   361→\tvar payloadLen uint32\n   362→\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n   363→\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n   364→\t}\n   365→\n   366→\tif payloadLen > 1<<20 { // 1 MB sanity limit\n   367→\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n   368→\t}\n   369→\n   370→\tpayload := make([]byte, payloadLen)\n   371→\tif _, err := io.ReadFull(r, payload); err != nil {\n   372→\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n   373→\t}\n   374→\n   375→\tvar storedCRC uint32\n   376→\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n   377→\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n   378→\t}\n   379→\n   380→\tif crc32.ChecksumIEEE(payload) != storedCRC {\n   381→\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n   382→\t}\n   383→\n   384→\treturn parseWALPayload(payload)\n   385→}\n   386→\n   387→// parseWALPayload decodes a binary payload into a WALMessage.\n   388→func parseWALPayload(payload []byte) (*WALMessage, error) {\n   389→\tif len(payload) < 8+2+1+4 {\n   390→\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n   391→\t}\n   392→\n   393→\toffset := 0\n   394→\n   395→\t// Timestamp (8 bytes)\n   396→\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n   397→\toffset += 8\n   398→\n   399→\t// Metric name (2-byte length + bytes)\n   400→\tif offset+2 > len(payload) {\n   401→\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n   402→\t}\n   403→\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n   404→\toffset += 2\n   405→\n   406→\tif offset+mLen > len(payload) {\n   407→\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n   408→\t}\n   409→\tmetricName := string(payload[offset : offset+mLen])\n   410→\toffset += mLen\n   411→\n   412→\t// Selector count (1 byte)\n   413→\tif offset >= len(payload) {\n   414→\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n   415→\t}\n   416→\tselCount := int(payload[offset])\n   417→\toffset++\n   418→\n   419→\tselectors := make([]string, selCount)\n   420→\tfor i := range selCount {\n   421→\t\tif offset >= len(payload) {\n   422→\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n   423→\t\t}\n   424→\t\tsLen := int(payload[offset])\n   425→\t\toffset++\n   426→\n   427→\t\tif offset+sLen > len(payload) {\n   428→\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n   429→\t\t}\n   430→\t\tselectors[i] = string(payload[offset : offset+sLen])\n   431→\t\toffset += sLen\n   432→\t}\n   433→\n   434→\t// Value (4 bytes, float32 bits)\n   435→\tif offset+4 > len(payload) {\n   436→\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n   437→\t}\n   438→\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n   439→\tvalue := schema.Float(math.Float32frombits(bits))\n   440→\n   441→\treturn &WALMessage{\n   442→\t\tMetricName: metricName,\n   443→\t\tTimestamp:  ts,\n   444→\t\tSelector:   selectors,\n   445→\t\tValue:      value,\n   446→\t}, nil\n   447→}\n   448→\n   449→// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n   450→// l is the host-level node. Corrupt or partial trailing records are silently skipped\n   451→// (expected on crash). Records older than 'from' are skipped.\n   452→func (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n   453→\tbr := bufio.NewReader(f)\n   454→\n   455→\t// Verify file header magic.\n   456→\tvar fileMagic uint32\n   457→\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n   458→\t\tif err == io.EOF {\n   459→\t\t\treturn nil // Empty file, no data\n   460→\t\t}\n   461→\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n   462→\t}\n   463→\n   464→\tif fileMagic != walFileMagic {\n   465→\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n   466→\t}\n   467→\n   468→\t// Cache level lookups to avoid repeated tree traversal.\n   469→\tlvlCache := make(map[string]*Level)\n   470→\n   471→\tfor {\n   472→\t\tmsg, err := readWALRecord(br)\n   473→\t\tif err != nil {\n   474→\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n   475→\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n   476→\t\t\tbreak\n   477→\t\t}\n   478→\t\tif msg == nil {\n   479→\t\t\tbreak // Clean EOF\n   480→\t\t}\n   481→\n   482→\t\tif msg.Timestamp < from {\n   483→\t\t\tcontinue // Older than retention window\n   484→\t\t}\n   485→\n   486→\t\tminfo, ok := m.Metrics[msg.MetricName]\n   487→\t\tif !ok {\n   488→\t\t\tcontinue // Unknown metric (config may have changed)\n   489→\t\t}\n   490→\n   491→\t\t// Cache key is the null-separated selector path.\n   492→\t\tcacheKey := joinSelector(msg.Selector)\n   493→\t\tlvl, ok := lvlCache[cacheKey]\n   494→\t\tif !ok {\n   495→\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n   496→\t\t\tlvlCache[cacheKey] = lvl\n   497→\t\t}\n   498→\n   499→\t\t// Write directly to the buffer, same as WriteToLevel but without the\n   500→\t\t// global level lookup (we already have the right level).\n   501→\t\tlvl.lock.Lock()\n   502→\t\tb := lvl.metrics[minfo.offset]\n   503→\t\tif b == nil {\n   504→\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n   505→\t\t\tlvl.metrics[minfo.offset] = b\n   506→\t\t}\n   507→\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n   508→\t\tif writeErr == nil && b != nb {\n   509→\t\t\tlvl.metrics[minfo.offset] = nb\n   510→\t\t}\n   511→\t\t// Ignore write errors for timestamps before buffer start (can happen when\n   512→\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n   513→\t\tlvl.lock.Unlock()\n   514→\t}\n   515→\n   516→\treturn nil\n   517→}\n   518→\n   519→// joinSelector builds a cache key from a selector slice using null bytes as separators.\n   520→func joinSelector(sel []string) string {\n   521→\tif len(sel) == 0 {\n   522→\t\treturn \"\"\n   523→\t}\n   524→\tvar result strings.Builder\n   525→\tresult.WriteString(sel[0])\n   526→\tfor i := 1; i < len(sel); i++ {\n   527→\t\tresult.WriteString(\"\\x00\" + sel[i])\n   528→\t}\n   529→\treturn result.String()\n   530→}\n   531→\n   532→// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n   533→// Returns the number of files written, the list of host directories that were\n   534→// successfully checkpointed (for WAL rotation), and any errors.\n   535→func (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n   536→\t// Collect all cluster/host pairs.\n   537→\tm.root.lock.RLock()\n   538→\ttotalHosts := 0\n   539→\tfor _, l1 := range m.root.children {\n   540→\t\tl1.lock.RLock()\n   541→\t\ttotalHosts += len(l1.children)\n   542→\t\tl1.lock.RUnlock()\n   543→\t}\n   544→\tm.root.lock.RUnlock()\n   545→\n   546→\tlevels := make([]*Level, 0, totalHosts)\n   547→\tselectors := make([][]string, 0, totalHosts)\n   548→\n   549→\tm.root.lock.RLock()\n   550→\tfor sel1, l1 := range m.root.children {\n   551→\t\tl1.lock.RLock()\n   552→\t\tfor sel2, l2 := range l1.children {\n   553→\t\t\tlevels = append(levels, l2)\n   554→\t\t\tselectors = append(selectors, []string{sel1, sel2})\n   555→\t\t}\n   556→\t\tl1.lock.RUnlock()\n   557→\t}\n   558→\tm.root.lock.RUnlock()\n   559→\n   560→\ttype workItem struct {\n   561→\t\tlevel    *Level\n   562→\t\thostDir  string\n   563→\t\tselector []string\n   564→\t}\n   565→\n   566→\tn, errs := int32(0), int32(0)\n   567→\tvar successDirs []string\n   568→\tvar successMu sync.Mutex\n   569→\n   570→\tvar wg sync.WaitGroup\n   571→\twg.Add(Keys.NumWorkers)\n   572→\twork := make(chan workItem, Keys.NumWorkers*2)\n   573→\n   574→\tfor range Keys.NumWorkers {\n   575→\t\tgo func() {\n   576→\t\t\tdefer wg.Done()\n   577→\t\t\tfor wi := range work {\n   578→\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n   579→\t\t\t\tif err != nil {\n   580→\t\t\t\t\tif err == ErrNoNewArchiveData {\n   581→\t\t\t\t\t\tcontinue\n   582→\t\t\t\t\t}\n   583→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n   584→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   585→\t\t\t\t} else {\n   586→\t\t\t\t\tatomic.AddInt32(&n, 1)\n   587→\t\t\t\t\tsuccessMu.Lock()\n   588→\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n   589→\t\t\t\t\tsuccessMu.Unlock()\n   590→\t\t\t\t}\n   591→\t\t\t}\n   592→\t\t}()\n   593→\t}\n   594→\n   595→\tfor i := range levels {\n   596→\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n   597→\t\twork <- workItem{\n   598→\t\t\tlevel:    levels[i],\n   599→\t\t\thostDir:  hostDir,\n   600→\t\t\tselector: selectors[i],\n   601→\t\t}\n   602→\t}\n   603→\tclose(work)\n   604→\twg.Wait()\n   605→\n   606→\tif errs > 0 {\n   607→\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n   608→\t}\n   609→\treturn int(n), successDirs, nil\n   610→}\n   611→\n   612→// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n   613→// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\n   614→func (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n   615→\tcf, err := l.toCheckpointFile(from, to, m)\n   616→\tif err != nil {\n   617→\t\treturn err\n   618→\t}\n   619→\tif cf == nil {\n   620→\t\treturn ErrNoNewArchiveData\n   621→\t}\n   622→\n   623→\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n   624→\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n   625→\t}\n   626→\n   627→\t// Write to a temp file first, then rename (atomic on POSIX).\n   628→\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n   629→\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n   630→\n   631→\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n   632→\tif err != nil {\n   633→\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n   634→\t}\n   635→\n   636→\tbw := bufio.NewWriter(f)\n   637→\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n   638→\t\tf.Close()\n   639→\t\tos.Remove(tmpPath)\n   640→\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n   641→\t}\n   642→\tif err := bw.Flush(); err != nil {\n   643→\t\tf.Close()\n   644→\t\tos.Remove(tmpPath)\n   645→\t\treturn err\n   646→\t}\n   647→\tf.Close()\n   648→\n   649→\treturn os.Rename(tmpPath, finalPath)\n   650→}\n   651→\n   652→// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\n   653→func writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n   654→\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n   655→\t\treturn err\n   656→\t}\n   657→\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n   658→\t\treturn err\n   659→\t}\n   660→\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n   661→\t\treturn err\n   662→\t}\n   663→\treturn writeBinaryLevel(w, cf)\n   664→}\n   665→\n   666→// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\n   667→func writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n   668→\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n   669→\t\treturn err\n   670→\t}\n   671→\n   672→\tfor name, metric := range cf.Metrics {\n   673→\t\tif err := writeString16(w, name); err != nil {\n   674→\t\t\treturn err\n   675→\t\t}\n   676→\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n   677→\t\t\treturn err\n   678→\t\t}\n   679→\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n   680→\t\t\treturn err\n   681→\t\t}\n   682→\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n   683→\t\t\treturn err\n   684→\t\t}\n   685→\t\tfor _, v := range metric.Data {\n   686→\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n   687→\t\t\t\treturn err\n   688→\t\t\t}\n   689→\t\t}\n   690→\t}\n   691→\n   692→\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n   693→\t\treturn err\n   694→\t}\n   695→\n   696→\tfor name, child := range cf.Children {\n   697→\t\tif err := writeString16(w, name); err != nil {\n   698→\t\t\treturn err\n   699→\t\t}\n   700→\t\tif err := writeBinaryLevel(w, child); err != nil {\n   701→\t\t\treturn err\n   702→\t\t}\n   703→\t}\n   704→\n   705→\treturn nil\n   706→}\n   707→\n   708→// writeString16 writes a 2-byte length-prefixed string to w.\n   709→func writeString16(w io.Writer, s string) error {\n   710→\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n   711→\t\treturn err\n   712→\t}\n   713→\t_, err := io.WriteString(w, s)\n   714→\treturn err\n   715→}\n   716→\n   717→// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n   718→// The retention check (from) is applied to the file's 'to' timestamp.\n   719→func (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n   720→\tbr := bufio.NewReader(f)\n   721→\n   722→\tvar magic uint32\n   723→\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n   724→\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n   725→\t}\n   726→\tif magic != snapFileMagic {\n   727→\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n   728→\t}\n   729→\n   730→\tvar fileFrom, fileTo int64\n   731→\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n   732→\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n   733→\t}\n   734→\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n   735→\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n   736→\t}\n   737→\n   738→\tif fileTo != 0 && fileTo < from {\n   739→\t\treturn nil // File is older than retention window, skip it\n   740→\t}\n   741→\n   742→\tcf, err := readBinaryLevel(br)\n   743→\tif err != nil {\n   744→\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n   745→\t}\n   746→\tcf.From = fileFrom\n   747→\tcf.To = fileTo\n   748→\n   749→\treturn l.loadFile(cf, m)\n   750→}\n   751→\n   752→// readBinaryLevel recursively reads a level from the binary snapshot format.\n   753→func readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n   754→\tcf := &CheckpointFile{\n   755→\t\tMetrics:  make(map[string]*CheckpointMetrics),\n   756→\t\tChildren: make(map[string]*CheckpointFile),\n   757→\t}\n   758→\n   759→\tvar numMetrics uint32\n   760→\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n   761→\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n   762→\t}\n   763→\n   764→\tfor range numMetrics {\n   765→\t\tname, err := readString16(r)\n   766→\t\tif err != nil {\n   767→\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n   768→\t\t}\n   769→\n   770→\t\tvar freq, start int64\n   771→\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n   772→\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n   773→\t\t}\n   774→\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n   775→\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n   776→\t\t}\n   777→\n   778→\t\tvar numValues uint32\n   779→\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n   780→\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n   781→\t\t}\n   782→\n   783→\t\tdata := make([]schema.Float, numValues)\n   784→\t\tfor i := range numValues {\n   785→\t\t\tvar bits uint32\n   786→\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n   787→\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n   788→\t\t\t}\n   789→\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n   790→\t\t}\n   791→\n   792→\t\tcf.Metrics[name] = &CheckpointMetrics{\n   793→\t\t\tFrequency: freq,\n   794→\t\t\tStart:     start,\n   795→\t\t\tData:      data,\n   796→\t\t}\n   797→\t}\n   798→\n   799→\tvar numChildren uint32\n   800→\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\n   801→\t\treturn nil, fmt.Errorf(\"read num_children: %w\", err)\n   802→\t}\n   803→\n   804→\tfor range numChildren {\n   805→\t\tchildName, err := readString16(r)\n   806→\t\tif err != nil {\n   807→\t\t\treturn nil, fmt.Errorf(\"read child name: %w\", err)\n   808→\t\t}\n   809→\n   810→\t\tchild, err := readBinaryLevel(r)\n   811→\t\tif err != nil {\n   812→\t\t\treturn nil, fmt.Errorf(\"read child %s: %w\", childName, err)\n   813→\t\t}\n   814→\t\tcf.Children[childName] = child\n   815→\t}\n   816→\n   817→\treturn cf, nil\n   818→}\n   819→\n   820→// readString16 reads a 2-byte length-prefixed string from r.\n   821→func readString16(r io.Reader) (string, error) {\n   822→\tvar sLen uint16\n   823→\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {\n   824→\t\treturn \"\", err\n   825→\t}\n   826→\tbuf := make([]byte, sLen)\n   827→\tif _, err := io.ReadFull(r, buf); err != nil {\n   828→\t\treturn \"\", err\n   829→\t}\n   830→\treturn string(buf), nil\n   831→}\n   832→"}]},"uuid":"311973a6-2ed6-45c9-8815-188a98dee868","timestamp":"2026-03-18T05:29:23.141Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n//\n// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n// per host, eliminating the extra memory overhead of the AvroStore and providing\n// truly continuous (per-write) crash safety.\n//\n// # Architecture\n//\n//\tMetric write (DecodeLine)\n//\t      │\n//\t      ├─► WriteToLevel()    → main MemoryStore (unchanged)\n//\t      │\n//\t      └─► WALMessages channel\n//\t               │\n//\t               ▼\n//\t        WALStaging goroutine\n//\t               │\n//\t               ▼\n//\t        checkpoints/cluster/host/current.wal  (append-only, binary)\n//\n//\tPeriodic checkpoint (Checkpointing goroutine):\n//\t  1. Write <timestamp>.bin snapshot (column-oriented, from main tree)\n//\t  2. Signal WALStaging to truncate current.wal per host\n//\n//\tOn restart (FromCheckpoint):\n//\t  1. Load most recent <timestamp>.bin snapshot\n//\t  2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n//\n// # WAL Record Format\n//\n//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n//\n//\tpayload:\n//\t  [8B timestamp int64]\n//\t  [2B metric_name_len uint16][N metric name bytes]\n//\t  [1B selector_count uint8]\n//\t  per selector: [1B selector_len uint8][M selector bytes]\n//\t  [4B value float32 bits]\n//\n// # Binary Snapshot Format\n//\n//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n//\tLevel tree (recursive):\n//\t  [4B num_metrics uint32]\n//\t  per metric:\n//\t    [2B name_len uint16][N name bytes]\n//\t    [8B frequency int64][8B start int64]\n//\t    [4B num_values uint32][num_values × 4B float32]\n//\t  [4B num_children uint32]\n//\t  per child: [2B name_len uint16][N name bytes] + Level (recursive)\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/binary\"\n\t\"fmt\"\n\t\"hash/crc32\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"path\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Magic numbers for binary formats.\nconst (\n\twalFileMagic   = uint32(0xCC1DA701) // WAL file header magic\n\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n\tsnapFileMagic  = uint32(0xCC5B0001) // Binary snapshot magic\n)\n\n// WALMessages is the channel for sending metric writes to the WAL staging goroutine.\n// Buffered to allow burst writes without blocking the metric ingestion path.\nvar WALMessages = make(chan *WALMessage, 65536)\n\n// walRotateCh is used by the checkpoint goroutine to request WAL file rotation\n// (close, delete, reopen) after a binary snapshot has been written.\nvar walRotateCh = make(chan walRotateReq, 256)\n\n// WALMessage represents a single metric write to be appended to the WAL.\n// Cluster and Node are NOT stored in the WAL record (inferred from file path).\ntype WALMessage struct {\n\tMetricName string\n\tCluster    string\n\tNode       string\n\tSelector   []string\n\tValue      schema.Float\n\tTimestamp  int64\n}\n\n// walRotateReq requests WAL file rotation for a specific host directory.\n// The done channel is closed by the WAL goroutine when rotation is complete.\ntype walRotateReq struct {\n\thostDir string\n\tdone    chan struct{}\n}\n\n// walFileState holds an open WAL file handle and buffered writer for one host directory.\ntype walFileState struct {\n\tf *os.File\n\tw *bufio.Writer\n}\n\n// WALStaging starts a background goroutine that receives WALMessage items\n// and appends binary WAL records to per-host current.wal files.\n// Also handles WAL rotation requests from the checkpoint goroutine.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\twg.Go(func() {\n\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\t\treturn\n\t\t}\n\n\t\thostFiles := make(map[string]*walFileState)\n\n\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\n\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\tw := bufio.NewWriter(f)\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tws = &walFileState{f: f, w: w}\n\t\t\thostFiles[hostDir] = ws\n\t\t\treturn ws\n\t\t}\n\n\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tws := getOrOpenWAL(hostDir)\n\t\t\tif ws == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}\n\n\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.w.Flush()\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}\n\n\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\t// Flush all buffered writers after draining remaining messages.\n\t\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\n\t\t\t\t// Drain up to 256 more messages without blocking to batch writes.\n\t\t\t\tfor range 256 {\n\t\t\t\t\tselect {\n\t\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\t\tif !ok {\n\t\t\t\t\t\t\treturn\n\t\t\t\t\t\t}\n\t\t\t\t\t\tprocessMsg(msg)\n\t\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\t\tprocessRotate(req)\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tgoto flushed\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\tflushed:\n\t\t\t\t// Flush all buffered writers after processing the batch.\n\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFiles(hostDirs []string) {\n\tdones := make([]chan struct{}, len(hostDirs))\n\tfor i, dir := range hostDirs {\n\t\tdones[i] = make(chan struct{})\n\t\twalRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}\n\t}\n\tfor _, done := range dones {\n\t\t<-done\n\t}\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFilesAfterShutdown(hostDirs []string) {\n\tfor _, dir := range hostDirs {\n\t\twalPath := path.Join(dir, \"current.wal\")\n\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t}\n\t}\n}\n\n// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\nfunc buildWALPayload(msg *WALMessage) []byte {\n\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n\tfor _, s := range msg.Selector {\n\t\tsize += 1 + len(s)\n\t}\n\n\tbuf := make([]byte, 0, size)\n\n\t// Timestamp (8 bytes, little-endian int64)\n\tvar ts [8]byte\n\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n\tbuf = append(buf, ts[:]...)\n\n\t// Metric name (2-byte length prefix + bytes)\n\tvar mLen [2]byte\n\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n\tbuf = append(buf, mLen[:]...)\n\tbuf = append(buf, msg.MetricName...)\n\n\t// Selector count (1 byte)\n\tbuf = append(buf, byte(len(msg.Selector)))\n\n\t// Selectors (1-byte length prefix + bytes each)\n\tfor _, sel := range msg.Selector {\n\t\tbuf = append(buf, byte(len(sel)))\n\t\tbuf = append(buf, sel...)\n\t}\n\n\t// Value (4 bytes, float32 bit representation)\n\tvar val [4]byte\n\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n\tbuf = append(buf, val[:]...)\n\n\treturn buf\n}\n\n// writeWALRecord appends a binary WAL record to the writer.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(w io.Writer, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := w.Write(record)\n\treturn err\n}\n\n// readWALRecord reads one WAL record from the reader.\n// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n// A CRC mismatch indicates a truncated trailing record (expected on crash).\nfunc readWALRecord(r io.Reader) (*WALMessage, error) {\n\tvar magic uint32\n\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil, nil // Clean EOF\n\t\t}\n\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n\t}\n\n\tif magic != walRecordMagic {\n\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n\t}\n\n\tvar payloadLen uint32\n\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n\t}\n\n\tif payloadLen > 1<<20 { // 1 MB sanity limit\n\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n\t}\n\n\tpayload := make([]byte, payloadLen)\n\tif _, err := io.ReadFull(r, payload); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n\t}\n\n\tvar storedCRC uint32\n\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n\t}\n\n\tif crc32.ChecksumIEEE(payload) != storedCRC {\n\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n\t}\n\n\treturn parseWALPayload(payload)\n}\n\n// parseWALPayload decodes a binary payload into a WALMessage.\nfunc parseWALPayload(payload []byte) (*WALMessage, error) {\n\tif len(payload) < 8+2+1+4 {\n\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n\t}\n\n\toffset := 0\n\n\t// Timestamp (8 bytes)\n\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n\toffset += 8\n\n\t// Metric name (2-byte length + bytes)\n\tif offset+2 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n\t}\n\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n\toffset += 2\n\n\tif offset+mLen > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n\t}\n\tmetricName := string(payload[offset : offset+mLen])\n\toffset += mLen\n\n\t// Selector count (1 byte)\n\tif offset >= len(payload) {\n\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n\t}\n\tselCount := int(payload[offset])\n\toffset++\n\n\tselectors := make([]string, selCount)\n\tfor i := range selCount {\n\t\tif offset >= len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n\t\t}\n\t\tsLen := int(payload[offset])\n\t\toffset++\n\n\t\tif offset+sLen > len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n\t\t}\n\t\tselectors[i] = string(payload[offset : offset+sLen])\n\t\toffset += sLen\n\t}\n\n\t// Value (4 bytes, float32 bits)\n\tif offset+4 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n\t}\n\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n\tvalue := schema.Float(math.Float32frombits(bits))\n\n\treturn &WALMessage{\n\t\tMetricName: metricName,\n\t\tTimestamp:  ts,\n\t\tSelector:   selectors,\n\t\tValue:      value,\n\t}, nil\n}\n\n// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n// l is the host-level node. Corrupt or partial trailing records are silently skipped\n// (expected on crash). Records older than 'from' are skipped.\nfunc (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\t// Verify file header magic.\n\tvar fileMagic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil // Empty file, no data\n\t\t}\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n\t}\n\n\tif fileMagic != walFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n\t}\n\n\t// Cache level lookups to avoid repeated tree traversal.\n\tlvlCache := make(map[string]*Level)\n\n\tfor {\n\t\tmsg, err := readWALRecord(br)\n\t\tif err != nil {\n\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n\t\t\tbreak\n\t\t}\n\t\tif msg == nil {\n\t\t\tbreak // Clean EOF\n\t\t}\n\n\t\tif msg.Timestamp < from {\n\t\t\tcontinue // Older than retention window\n\t\t}\n\n\t\tminfo, ok := m.Metrics[msg.MetricName]\n\t\tif !ok {\n\t\t\tcontinue // Unknown metric (config may have changed)\n\t\t}\n\n\t\t// Cache key is the null-separated selector path.\n\t\tcacheKey := joinSelector(msg.Selector)\n\t\tlvl, ok := lvlCache[cacheKey]\n\t\tif !ok {\n\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n\t\t\tlvlCache[cacheKey] = lvl\n\t\t}\n\n\t\t// Write directly to the buffer, same as WriteToLevel but without the\n\t\t// global level lookup (we already have the right level).\n\t\tlvl.lock.Lock()\n\t\tb := lvl.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n\t\t\tlvl.metrics[minfo.offset] = b\n\t\t}\n\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n\t\tif writeErr == nil && b != nb {\n\t\t\tlvl.metrics[minfo.offset] = nb\n\t\t}\n\t\t// Ignore write errors for timestamps before buffer start (can happen when\n\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n\t\tlvl.lock.Unlock()\n\t}\n\n\treturn nil\n}\n\n// joinSelector builds a cache key from a selector slice using null bytes as separators.\nfunc joinSelector(sel []string) string {\n\tif len(sel) == 0 {\n\t\treturn \"\"\n\t}\n\tvar result strings.Builder\n\tresult.WriteString(sel[0])\n\tfor i := 1; i < len(sel); i++ {\n\t\tresult.WriteString(\"\\x00\" + sel[i])\n\t}\n\treturn result.String()\n}\n\n// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n// Returns the number of files written, the list of host directories that were\n// successfully checkpointed (for WAL rotation), and any errors.\nfunc (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n\t// Collect all cluster/host pairs.\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel    *Level\n\t\thostDir  string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\tvar successDirs []string\n\tvar successMu sync.Mutex\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\n\tfor range Keys.NumWorkers {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor wi := range work {\n\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n\t\t\t\tif err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\tsuccessMu.Lock()\n\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n\t\t\t\t\tsuccessMu.Unlock()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := range levels {\n\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel:    levels[i],\n\t\t\thostDir:  hostDir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n\t}\n\treturn int(n), successDirs, nil\n}\n\n// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\nfunc (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n\t}\n\n\t// Write to a temp file first, then rename (atomic on POSIX).\n\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n\n\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n\t}\n\n\tbw := bufio.NewWriter(f)\n\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n\t}\n\tif err := bw.Flush(); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn err\n\t}\n\tf.Close()\n\n\treturn os.Rename(tmpPath, finalPath)\n}\n\n// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\nfunc writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n\t\treturn err\n\t}\n\treturn writeBinaryLevel(w, cf)\n}\n\n// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\nfunc writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, metric := range cf.Metrics {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tfor _, v := range metric.Data {\n\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, child := range cf.Children {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := writeBinaryLevel(w, child); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// writeString16 writes a 2-byte length-prefixed string to w.\nfunc writeString16(w io.Writer, s string) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n\t\treturn err\n\t}\n\t_, err := io.WriteString(w, s)\n\treturn err\n}\n\n// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n// The retention check (from) is applied to the file's 'to' timestamp.\nfunc (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\tvar magic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n\t}\n\tif magic != snapFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n\t}\n\n\tvar fileFrom, fileTo int64\n\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n\t}\n\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n\t}\n\n\tif fileTo != 0 && fileTo < from {\n\t\treturn nil // File is older than retention window, skip it\n\t}\n\n\tcf, err := readBinaryLevel(br)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n\t}\n\tcf.From = fileFrom\n\tcf.To = fileTo\n\n\treturn l.loadFile(cf, m)\n}\n\n// readBinaryLevel recursively reads a level from the binary snapshot format.\nfunc readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n\tcf := &CheckpointFile{\n\t\tMetrics:  make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tvar numMetrics uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n\t}\n\n\tfor range numMetrics {\n\t\tname, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n\t\t}\n\n\t\tvar freq, start int64\n\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n\t\t}\n\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n\t\t}\n\n\t\tvar numValues uint32\n\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n\t\t}\n\n\t\tdata := make([]schema.Float, numValues)\n\t\tfor i := range numValues {\n\t\t\tvar bits uint32\n\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n\t\t\t}\n\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n\t\t}\n\n\t\tcf.Metrics[name] = &CheckpointMetrics{\n\t\t\tFrequency: freq,\n\t\t\tStart:     start,\n\t\t\tData:      data,\n\t\t}\n\t}\n\n\tvar numChildren uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_children: %w\", err)\n\t}\n\n\tfor range numChildren {\n\t\tchildName, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child name: %w\", err)\n\t\t}\n\n\t\tchild, err := readBinaryLevel(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child %s: %w\", childName, err)\n\t\t}\n\t\tcf.Children[childName] = child\n\t}\n\n\treturn cf, nil\n}\n\n// readString16 reads a 2-byte length-prefixed string from r.\nfunc readString16(r io.Reader) (string, error) {\n\tvar sLen uint16\n\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {\n\t\treturn \"\", err\n\t}\n\tbuf := make([]byte, sLen)\n\tif _, err := io.ReadFull(r, buf); err != nil {\n\t\treturn \"\", err\n\t}\n\treturn string(buf), nil\n}\n","numLines":832,"startLine":1,"totalLines":832}},"sourceToolAssistantUUID":"53cacb9b-842f-4b11-adeb-ae3f42fafd4a","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"parentUuid":"89e8ab32-1c9d-4c0d-b4c3-a3d9fad1a16b","isSidechain":false,"promptId":"53f7aeff-f280-4fa6-a195-55ff40087d7e","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PtLUrnJXjXdSBqyJaBpYkt","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// This file implements ingestion of InfluxDB line-protocol metric data received\n     7→// over NATS. Each line encodes one metric sample with the following structure:\n     8→//\n     9→//\t<measurement>[,cluster=<c>][,hostname=<h>][,type=<t>][,type-id=<id>][,subtype=<s>][,stype-id=<id>] value=<v> [<timestamp>]\n    10→//\n    11→// The measurement name identifies the metric (e.g. \"cpu_load\"). Tags provide\n    12→// routing information (cluster, host) and optional sub-device selectors (type,\n    13→// subtype). Only one field is expected per line: \"value\".\n    14→//\n    15→// After decoding, each sample is:\n    16→//  1. Written to the in-memory store via ms.WriteToLevel.\n    17→//  2. If the checkpoint format is \"wal\", also forwarded to the WAL staging\n    18→//     goroutine via the WALMessages channel for durable write-ahead logging.\n    19→package metricstore\n    20→\n    21→import (\n    22→\t\"bytes\"\n    23→\t\"context\"\n    24→\t\"fmt\"\n    25→\t\"sync\"\n    26→\t\"sync/atomic\"\n    27→\t\"time\"\n    28→\n    29→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    30→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    31→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    32→\t\"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n    33→)\n    34→\n    35→// ReceiveNats subscribes to all configured NATS subjects and feeds incoming\n    36→// line-protocol messages into the MemoryStore.\n    37→//\n    38→// When workers > 1 a pool of goroutines drains a shared channel so that\n    39→// multiple messages can be decoded in parallel. With workers == 1 the NATS\n    40→// callback decodes inline (no channel overhead, lower latency).\n    41→//\n    42→// The function blocks until ctx is cancelled and all worker goroutines have\n    43→// finished. It returns nil when the NATS client is not configured; callers\n    44→// should treat that as a no-op rather than an error.\n    45→func ReceiveNats(ms *MemoryStore,\n    46→\tworkers int,\n    47→\tctx context.Context,\n    48→) error {\n    49→\tnc := nats.GetClient()\n    50→\n    51→\tif nc == nil {\n    52→\t\tcclog.Warn(\"NATS client not initialized\")\n    53→\t\treturn nil\n    54→\t}\n    55→\n    56→\tvar wg sync.WaitGroup\n    57→\tmsgs := make(chan []byte, max(workers*256, 8192))\n    58→\n    59→\tfor _, sc := range *Keys.Subscriptions {\n    60→\t\tclusterTag := sc.ClusterTag\n    61→\t\tif workers > 1 {\n    62→\t\t\twg.Add(workers)\n    63→\n    64→\t\t\tfor range workers {\n    65→\t\t\t\tgo func() {\n    66→\t\t\t\t\tdefer wg.Done()\n    67→\t\t\t\t\tfor m := range msgs {\n    68→\t\t\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(m)\n    69→\t\t\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n    70→\t\t\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n    71→\t\t\t\t\t\t}\n    72→\t\t\t\t\t}\n    73→\t\t\t\t}()\n    74→\t\t\t}\n    75→\n    76→\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n    77→\t\t\t\tselect {\n    78→\t\t\t\tcase msgs <- data:\n    79→\t\t\t\tcase <-ctx.Done():\n    80→\t\t\t\t}\n    81→\t\t\t})\n    82→\t\t} else {\n    83→\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n    84→\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(data)\n    85→\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n    86→\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n    87→\t\t\t\t}\n    88→\t\t\t})\n    89→\t\t}\n    90→\t\tcclog.Infof(\"NATS subscription to '%s' established\", sc.SubscribeTo)\n    91→\t}\n    92→\n    93→\tgo func() {\n    94→\t\t<-ctx.Done()\n    95→\t\tclose(msgs)\n    96→\t}()\n    97→\n    98→\twg.Wait()\n    99→\n   100→\treturn nil\n   101→}\n   102→\n   103→// reorder prepends prefix to buf in-place when buf has enough spare capacity,\n   104→// avoiding an allocation. Falls back to a regular append otherwise.\n   105→//\n   106→// It is used to assemble the \"type<type-id>\" and \"subtype<stype-id>\" selector\n   107→// strings when the type tag arrives before the type-id tag in the line, so the\n   108→// two byte slices need to be concatenated in tag-declaration order regardless\n   109→// of wire order.\n   110→func reorder(buf, prefix []byte) []byte {\n   111→\tn := len(prefix)\n   112→\tm := len(buf)\n   113→\tif cap(buf) < m+n {\n   114→\t\treturn append(prefix[:n:n], buf...)\n   115→\t} else {\n   116→\t\tbuf = buf[:n+m]\n   117→\t\tfor i := m - 1; i >= 0; i-- {\n   118→\t\t\tbuf[i+n] = buf[i]\n   119→\t\t}\n   120→\t\tfor i := range n {\n   121→\t\t\tbuf[i] = prefix[i]\n   122→\t\t}\n   123→\t\treturn buf\n   124→\t}\n   125→}\n   126→\n   127→// walDropped counts WAL messages dropped due to a full channel.\n   128→// Logged periodically; not critical since binary snapshots capture the data.\n   129→var walDropped atomic.Int64\n   130→\n   131→// decodeState holds the per-call scratch buffers used by DecodeLine.\n   132→// Instances are recycled via decodeStatePool to avoid repeated allocations\n   133→// during high-throughput ingestion.\n   134→type decodeState struct {\n   135→\t// metricBuf holds a copy of the current measurement name (line-protocol\n   136→\t// measurement field). Copied because dec.Measurement() returns a slice\n   137→\t// that is invalidated by the next decoder call.\n   138→\tmetricBuf []byte\n   139→\n   140→\t// selector is the sub-device path passed to WriteToLevel and WALMessage\n   141→\t// (e.g. [\"socket0\"] or [\"socket0\", \"memctrl1\"]). Reused across lines.\n   142→\tselector []string\n   143→\n   144→\t// typeBuf accumulates the concatenated \"type\"+\"type-id\" tag value for the\n   145→\t// current line. Reset at the start of each line's tag-decode loop.\n   146→\ttypeBuf []byte\n   147→\n   148→\t// subTypeBuf accumulates the concatenated \"subtype\"+\"stype-id\" tag value.\n   149→\t// Reset at the start of each line's tag-decode loop.\n   150→\tsubTypeBuf []byte\n   151→\n   152→\t// prevTypeBytes / prevTypeStr cache the last seen typeBuf content and its\n   153→\t// string conversion. Because consecutive lines in a batch typically address\n   154→\t// the same sub-device, the cache hit rate is very high and avoids\n   155→\t// repeated []byte→string allocations.\n   156→\tprevTypeBytes []byte\n   157→\tprevTypeStr   string\n   158→\n   159→\t// prevSubTypeBytes / prevSubTypeStr are the same cache for the subtype.\n   160→\tprevSubTypeBytes []byte\n   161→\tprevSubTypeStr   string\n   162→}\n   163→\n   164→// decodeStatePool recycles decodeState values across DecodeLine calls to\n   165→// reduce GC pressure during sustained metric ingestion.\n   166→var decodeStatePool = sync.Pool{\n   167→\tNew: func() any {\n   168→\t\treturn &decodeState{\n   169→\t\t\tmetricBuf:  make([]byte, 0, 16),\n   170→\t\t\tselector:   make([]string, 0, 4),\n   171→\t\t\ttypeBuf:    make([]byte, 0, 16),\n   172→\t\t\tsubTypeBuf: make([]byte, 0, 16),\n   173→\t\t}\n   174→\t},\n   175→}\n   176→\n   177→// DecodeLine reads all lines from dec (InfluxDB line-protocol) and writes each\n   178→// decoded metric sample into ms.\n   179→//\n   180→// clusterDefault is used as the cluster name for lines that do not carry a\n   181→// \"cluster\" tag. Callers typically supply the ClusterTag value from the NATS\n   182→// subscription configuration.\n   183→//\n   184→// Performance notes:\n   185→//   - A decodeState is obtained from decodeStatePool to reuse scratch buffers.\n   186→//   - The Level pointer (host-level node in the metric tree) is cached across\n   187→//     consecutive lines that share the same cluster+host pair to avoid\n   188→//     repeated lock acquisitions on the root and cluster levels.\n   189→//   - []byte→string conversions for type/subtype selectors are cached via\n   190→//     prevType*/prevSubType* fields because batches typically repeat the same\n   191→//     sub-device identifiers.\n   192→//   - Timestamp parsing tries Second precision first; if that fails it retries\n   193→//     Millisecond, Microsecond, and Nanosecond in turn. A missing timestamp\n   194→//     falls back to time.Now().\n   195→//\n   196→// When the checkpoint format is \"wal\" each successfully decoded sample is also\n   197→// sent to WALMessages so the WAL staging goroutine can persist it durably\n   198→// before the next binary snapshot.\n   199→func DecodeLine(dec *lineprotocol.Decoder,\n   200→\tms *MemoryStore,\n   201→\tclusterDefault string,\n   202→) error {\n   203→\t// Reduce allocations in loop:\n   204→\tt := time.Now()\n   205→\tmetric := Metric{}\n   206→\tst := decodeStatePool.Get().(*decodeState)\n   207→\tdefer decodeStatePool.Put(st)\n   208→\n   209→\t// Optimize for the case where all lines in a \"batch\" are about the same\n   210→\t// cluster and host. By using `WriteToLevel` (level = host), we do not need\n   211→\t// to take the root- and cluster-level lock as often.\n   212→\tvar lvl *Level = nil\n   213→\tprevCluster, prevHost := \"\", \"\"\n   214→\n   215→\tvar ok bool\n   216→\tfor dec.Next() {\n   217→\t\trawmeasurement, err := dec.Measurement()\n   218→\t\tif err != nil {\n   219→\t\t\treturn err\n   220→\t\t}\n   221→\n   222→\t\t// Needs to be copied because another call to dec.* would\n   223→\t\t// invalidate the returned slice.\n   224→\t\tst.metricBuf = append(st.metricBuf[:0], rawmeasurement...)\n   225→\n   226→\t\t// The go compiler optimizes map[string(byteslice)] lookups:\n   227→\t\tmetric.MetricConfig, ok = ms.Metrics[string(rawmeasurement)]\n   228→\t\tif !ok {\n   229→\t\t\tcontinue\n   230→\t\t}\n   231→\n   232→\t\tst.typeBuf, st.subTypeBuf = st.typeBuf[:0], st.subTypeBuf[:0]\n   233→\t\tcluster, host := clusterDefault, \"\"\n   234→\t\tfor {\n   235→\t\t\tkey, val, err := dec.NextTag()\n   236→\t\t\tif err != nil {\n   237→\t\t\t\treturn err\n   238→\t\t\t}\n   239→\t\t\tif key == nil {\n   240→\t\t\t\tbreak\n   241→\t\t\t}\n   242→\n   243→\t\t\t// The go compiler optimizes string([]byte{...}) == \"...\":\n   244→\t\t\tswitch string(key) {\n   245→\t\t\tcase \"cluster\":\n   246→\t\t\t\tif string(val) == prevCluster {\n   247→\t\t\t\t\tcluster = prevCluster\n   248→\t\t\t\t} else {\n   249→\t\t\t\t\tcluster = string(val)\n   250→\t\t\t\t\tlvl = nil\n   251→\t\t\t\t}\n   252→\t\t\tcase \"hostname\", \"host\":\n   253→\t\t\t\tif string(val) == prevHost {\n   254→\t\t\t\t\thost = prevHost\n   255→\t\t\t\t} else {\n   256→\t\t\t\t\thost = string(val)\n   257→\t\t\t\t\tlvl = nil\n   258→\t\t\t\t}\n   259→\t\t\tcase \"type\":\n   260→\t\t\t\tif string(val) == \"node\" {\n   261→\t\t\t\t\tbreak\n   262→\t\t\t\t}\n   263→\n   264→\t\t\t\t// We cannot be sure that the \"type\" tag comes before the \"type-id\" tag:\n   265→\t\t\t\tif len(st.typeBuf) == 0 {\n   266→\t\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n   267→\t\t\t\t} else {\n   268→\t\t\t\t\tst.typeBuf = reorder(st.typeBuf, val)\n   269→\t\t\t\t}\n   270→\t\t\tcase \"type-id\":\n   271→\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n   272→\t\t\tcase \"subtype\":\n   273→\t\t\t\t// We cannot be sure that the \"subtype\" tag comes before the \"stype-id\" tag:\n   274→\t\t\t\tif len(st.subTypeBuf) == 0 {\n   275→\t\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n   276→\t\t\t\t} else {\n   277→\t\t\t\t\tst.subTypeBuf = reorder(st.subTypeBuf, val)\n   278→\t\t\t\t}\n   279→\t\t\tcase \"stype-id\":\n   280→\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n   281→\t\t\tdefault:\n   282→\t\t\t}\n   283→\t\t}\n   284→\n   285→\t\t// If the cluster or host changed, the lvl was set to nil\n   286→\t\tif lvl == nil {\n   287→\t\t\tst.selector = st.selector[:2]\n   288→\t\t\tst.selector[0], st.selector[1] = cluster, host\n   289→\t\t\tlvl = ms.GetLevel(st.selector)\n   290→\t\t\tprevCluster, prevHost = cluster, host\n   291→\t\t}\n   292→\n   293→\t\t// subtypes: cache []byte→string conversions; messages in a batch typically\n   294→\t\t// share the same type/subtype so the hit rate is very high.\n   295→\t\tst.selector = st.selector[:0]\n   296→\t\tif len(st.typeBuf) > 0 {\n   297→\t\t\tif !bytes.Equal(st.typeBuf, st.prevTypeBytes) {\n   298→\t\t\t\tst.prevTypeBytes = append(st.prevTypeBytes[:0], st.typeBuf...)\n   299→\t\t\t\tst.prevTypeStr = string(st.typeBuf)\n   300→\t\t\t}\n   301→\t\t\tst.selector = append(st.selector, st.prevTypeStr)\n   302→\t\t\tif len(st.subTypeBuf) > 0 {\n   303→\t\t\t\tif !bytes.Equal(st.subTypeBuf, st.prevSubTypeBytes) {\n   304→\t\t\t\t\tst.prevSubTypeBytes = append(st.prevSubTypeBytes[:0], st.subTypeBuf...)\n   305→\t\t\t\t\tst.prevSubTypeStr = string(st.subTypeBuf)\n   306→\t\t\t\t}\n   307→\t\t\t\tst.selector = append(st.selector, st.prevSubTypeStr)\n   308→\t\t\t}\n   309→\t\t}\n   310→\n   311→\t\tfor {\n   312→\t\t\tkey, val, err := dec.NextField()\n   313→\t\t\tif err != nil {\n   314→\t\t\t\treturn err\n   315→\t\t\t}\n   316→\n   317→\t\t\tif key == nil {\n   318→\t\t\t\tbreak\n   319→\t\t\t}\n   320→\n   321→\t\t\tif string(key) != \"value\" {\n   322→\t\t\t\treturn fmt.Errorf(\"host %s: unknown field: '%s' (value: %#v)\", host, string(key), val)\n   323→\t\t\t}\n   324→\n   325→\t\t\tif val.Kind() == lineprotocol.Float {\n   326→\t\t\t\tmetric.Value = schema.Float(val.FloatV())\n   327→\t\t\t} else if val.Kind() == lineprotocol.Int {\n   328→\t\t\t\tmetric.Value = schema.Float(val.IntV())\n   329→\t\t\t} else if val.Kind() == lineprotocol.Uint {\n   330→\t\t\t\tmetric.Value = schema.Float(val.UintV())\n   331→\t\t\t} else {\n   332→\t\t\t\treturn fmt.Errorf(\"host %s: unsupported value type in message: %s\", host, val.Kind().String())\n   333→\t\t\t}\n   334→\t\t}\n   335→\n   336→\t\tif t, err = dec.Time(lineprotocol.Second, t); err != nil {\n   337→\t\t\tt = time.Now()\n   338→\t\t\tif t, err = dec.Time(lineprotocol.Millisecond, t); err != nil {\n   339→\t\t\t\tt = time.Now()\n   340→\t\t\t\tif t, err = dec.Time(lineprotocol.Microsecond, t); err != nil {\n   341→\t\t\t\t\tt = time.Now()\n   342→\t\t\t\t\tif t, err = dec.Time(lineprotocol.Nanosecond, t); err != nil {\n   343→\t\t\t\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n   344→\t\t\t\t\t}\n   345→\t\t\t\t}\n   346→\t\t\t}\n   347→\t\t}\n   348→\n   349→\t\tif err != nil {\n   350→\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n   351→\t\t}\n   352→\n   353→\t\ttime := t.Unix()\n   354→\n   355→\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n   356→\t\t\tmsg := &WALMessage{\n   357→\t\t\t\tMetricName: string(st.metricBuf),\n   358→\t\t\t\tCluster:    cluster,\n   359→\t\t\t\tNode:       host,\n   360→\t\t\t\tSelector:   append([]string{}, st.selector...),\n   361→\t\t\t\tValue:      metric.Value,\n   362→\t\t\t\tTimestamp:  time,\n   363→\t\t\t}\n   364→\t\t\tselect {\n   365→\t\t\tcase WALMessages <- msg:\n   366→\t\t\tdefault:\n   367→\t\t\t\t// WAL channel full — metric is written to memory store but not WAL.\n   368→\t\t\t\t// Next binary snapshot will capture it.\n   369→\t\t\t\tif dropped := walDropped.Add(1); dropped%10000 == 1 {\n   370→\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> WAL channel full, dropped %d messages (data safe in memory, next snapshot will capture)\", dropped)\n   371→\t\t\t\t}\n   372→\t\t\t}\n   373→\t\t}\n   374→\n   375→\t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n   376→\t\t\tcclog.Warnf(\"write error for host %s metric %s at ts %d: %s\", host, string(st.metricBuf), time, err.Error())\n   377→\t\t\tcontinue\n   378→\t\t}\n   379→\t}\n   380→\treturn nil\n   381→}\n   382→"}]},"uuid":"b32930de-19da-45b1-b574-3e7fd25bbefa","timestamp":"2026-03-18T05:29:23.586Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/lineprotocol.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file implements ingestion of InfluxDB line-protocol metric data received\n// over NATS. Each line encodes one metric sample with the following structure:\n//\n//\t<measurement>[,cluster=<c>][,hostname=<h>][,type=<t>][,type-id=<id>][,subtype=<s>][,stype-id=<id>] value=<v> [<timestamp>]\n//\n// The measurement name identifies the metric (e.g. \"cpu_load\"). Tags provide\n// routing information (cluster, host) and optional sub-device selectors (type,\n// subtype). Only one field is expected per line: \"value\".\n//\n// After decoding, each sample is:\n//  1. Written to the in-memory store via ms.WriteToLevel.\n//  2. If the checkpoint format is \"wal\", also forwarded to the WAL staging\n//     goroutine via the WALMessages channel for durable write-ahead logging.\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\t\"sync/atomic\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// ReceiveNats subscribes to all configured NATS subjects and feeds incoming\n// line-protocol messages into the MemoryStore.\n//\n// When workers > 1 a pool of goroutines drains a shared channel so that\n// multiple messages can be decoded in parallel. With workers == 1 the NATS\n// callback decodes inline (no channel overhead, lower latency).\n//\n// The function blocks until ctx is cancelled and all worker goroutines have\n// finished. It returns nil when the NATS client is not configured; callers\n// should treat that as a no-op rather than an error.\nfunc ReceiveNats(ms *MemoryStore,\n\tworkers int,\n\tctx context.Context,\n) error {\n\tnc := nats.GetClient()\n\n\tif nc == nil {\n\t\tcclog.Warn(\"NATS client not initialized\")\n\t\treturn nil\n\t}\n\n\tvar wg sync.WaitGroup\n\tmsgs := make(chan []byte, max(workers*256, 8192))\n\n\tfor _, sc := range *Keys.Subscriptions {\n\t\tclusterTag := sc.ClusterTag\n\t\tif workers > 1 {\n\t\t\twg.Add(workers)\n\n\t\t\tfor range workers {\n\t\t\t\tgo func() {\n\t\t\t\t\tdefer wg.Done()\n\t\t\t\t\tfor m := range msgs {\n\t\t\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(m)\n\t\t\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}()\n\t\t\t}\n\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tselect {\n\t\t\t\tcase msgs <- data:\n\t\t\t\tcase <-ctx.Done():\n\t\t\t\t}\n\t\t\t})\n\t\t} else {\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(data)\n\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\t\tcclog.Infof(\"NATS subscription to '%s' established\", sc.SubscribeTo)\n\t}\n\n\tgo func() {\n\t\t<-ctx.Done()\n\t\tclose(msgs)\n\t}()\n\n\twg.Wait()\n\n\treturn nil\n}\n\n// reorder prepends prefix to buf in-place when buf has enough spare capacity,\n// avoiding an allocation. Falls back to a regular append otherwise.\n//\n// It is used to assemble the \"type<type-id>\" and \"subtype<stype-id>\" selector\n// strings when the type tag arrives before the type-id tag in the line, so the\n// two byte slices need to be concatenated in tag-declaration order regardless\n// of wire order.\nfunc reorder(buf, prefix []byte) []byte {\n\tn := len(prefix)\n\tm := len(buf)\n\tif cap(buf) < m+n {\n\t\treturn append(prefix[:n:n], buf...)\n\t} else {\n\t\tbuf = buf[:n+m]\n\t\tfor i := m - 1; i >= 0; i-- {\n\t\t\tbuf[i+n] = buf[i]\n\t\t}\n\t\tfor i := range n {\n\t\t\tbuf[i] = prefix[i]\n\t\t}\n\t\treturn buf\n\t}\n}\n\n// walDropped counts WAL messages dropped due to a full channel.\n// Logged periodically; not critical since binary snapshots capture the data.\nvar walDropped atomic.Int64\n\n// decodeState holds the per-call scratch buffers used by DecodeLine.\n// Instances are recycled via decodeStatePool to avoid repeated allocations\n// during high-throughput ingestion.\ntype decodeState struct {\n\t// metricBuf holds a copy of the current measurement name (line-protocol\n\t// measurement field). Copied because dec.Measurement() returns a slice\n\t// that is invalidated by the next decoder call.\n\tmetricBuf []byte\n\n\t// selector is the sub-device path passed to WriteToLevel and WALMessage\n\t// (e.g. [\"socket0\"] or [\"socket0\", \"memctrl1\"]). Reused across lines.\n\tselector []string\n\n\t// typeBuf accumulates the concatenated \"type\"+\"type-id\" tag value for the\n\t// current line. Reset at the start of each line's tag-decode loop.\n\ttypeBuf []byte\n\n\t// subTypeBuf accumulates the concatenated \"subtype\"+\"stype-id\" tag value.\n\t// Reset at the start of each line's tag-decode loop.\n\tsubTypeBuf []byte\n\n\t// prevTypeBytes / prevTypeStr cache the last seen typeBuf content and its\n\t// string conversion. Because consecutive lines in a batch typically address\n\t// the same sub-device, the cache hit rate is very high and avoids\n\t// repeated []byte→string allocations.\n\tprevTypeBytes []byte\n\tprevTypeStr   string\n\n\t// prevSubTypeBytes / prevSubTypeStr are the same cache for the subtype.\n\tprevSubTypeBytes []byte\n\tprevSubTypeStr   string\n}\n\n// decodeStatePool recycles decodeState values across DecodeLine calls to\n// reduce GC pressure during sustained metric ingestion.\nvar decodeStatePool = sync.Pool{\n\tNew: func() any {\n\t\treturn &decodeState{\n\t\t\tmetricBuf:  make([]byte, 0, 16),\n\t\t\tselector:   make([]string, 0, 4),\n\t\t\ttypeBuf:    make([]byte, 0, 16),\n\t\t\tsubTypeBuf: make([]byte, 0, 16),\n\t\t}\n\t},\n}\n\n// DecodeLine reads all lines from dec (InfluxDB line-protocol) and writes each\n// decoded metric sample into ms.\n//\n// clusterDefault is used as the cluster name for lines that do not carry a\n// \"cluster\" tag. Callers typically supply the ClusterTag value from the NATS\n// subscription configuration.\n//\n// Performance notes:\n//   - A decodeState is obtained from decodeStatePool to reuse scratch buffers.\n//   - The Level pointer (host-level node in the metric tree) is cached across\n//     consecutive lines that share the same cluster+host pair to avoid\n//     repeated lock acquisitions on the root and cluster levels.\n//   - []byte→string conversions for type/subtype selectors are cached via\n//     prevType*/prevSubType* fields because batches typically repeat the same\n//     sub-device identifiers.\n//   - Timestamp parsing tries Second precision first; if that fails it retries\n//     Millisecond, Microsecond, and Nanosecond in turn. A missing timestamp\n//     falls back to time.Now().\n//\n// When the checkpoint format is \"wal\" each successfully decoded sample is also\n// sent to WALMessages so the WAL staging goroutine can persist it durably\n// before the next binary snapshot.\nfunc DecodeLine(dec *lineprotocol.Decoder,\n\tms *MemoryStore,\n\tclusterDefault string,\n) error {\n\t// Reduce allocations in loop:\n\tt := time.Now()\n\tmetric := Metric{}\n\tst := decodeStatePool.Get().(*decodeState)\n\tdefer decodeStatePool.Put(st)\n\n\t// Optimize for the case where all lines in a \"batch\" are about the same\n\t// cluster and host. By using `WriteToLevel` (level = host), we do not need\n\t// to take the root- and cluster-level lock as often.\n\tvar lvl *Level = nil\n\tprevCluster, prevHost := \"\", \"\"\n\n\tvar ok bool\n\tfor dec.Next() {\n\t\trawmeasurement, err := dec.Measurement()\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\t// Needs to be copied because another call to dec.* would\n\t\t// invalidate the returned slice.\n\t\tst.metricBuf = append(st.metricBuf[:0], rawmeasurement...)\n\n\t\t// The go compiler optimizes map[string(byteslice)] lookups:\n\t\tmetric.MetricConfig, ok = ms.Metrics[string(rawmeasurement)]\n\t\tif !ok {\n\t\t\tcontinue\n\t\t}\n\n\t\tst.typeBuf, st.subTypeBuf = st.typeBuf[:0], st.subTypeBuf[:0]\n\t\tcluster, host := clusterDefault, \"\"\n\t\tfor {\n\t\t\tkey, val, err := dec.NextTag()\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tif key == nil {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\t// The go compiler optimizes string([]byte{...}) == \"...\":\n\t\t\tswitch string(key) {\n\t\t\tcase \"cluster\":\n\t\t\t\tif string(val) == prevCluster {\n\t\t\t\t\tcluster = prevCluster\n\t\t\t\t} else {\n\t\t\t\t\tcluster = string(val)\n\t\t\t\t\tlvl = nil\n\t\t\t\t}\n\t\t\tcase \"hostname\", \"host\":\n\t\t\t\tif string(val) == prevHost {\n\t\t\t\t\thost = prevHost\n\t\t\t\t} else {\n\t\t\t\t\thost = string(val)\n\t\t\t\t\tlvl = nil\n\t\t\t\t}\n\t\t\tcase \"type\":\n\t\t\t\tif string(val) == \"node\" {\n\t\t\t\t\tbreak\n\t\t\t\t}\n\n\t\t\t\t// We cannot be sure that the \"type\" tag comes before the \"type-id\" tag:\n\t\t\t\tif len(st.typeBuf) == 0 {\n\t\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n\t\t\t\t} else {\n\t\t\t\t\tst.typeBuf = reorder(st.typeBuf, val)\n\t\t\t\t}\n\t\t\tcase \"type-id\":\n\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n\t\t\tcase \"subtype\":\n\t\t\t\t// We cannot be sure that the \"subtype\" tag comes before the \"stype-id\" tag:\n\t\t\t\tif len(st.subTypeBuf) == 0 {\n\t\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n\t\t\t\t} else {\n\t\t\t\t\tst.subTypeBuf = reorder(st.subTypeBuf, val)\n\t\t\t\t}\n\t\t\tcase \"stype-id\":\n\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n\t\t\tdefault:\n\t\t\t}\n\t\t}\n\n\t\t// If the cluster or host changed, the lvl was set to nil\n\t\tif lvl == nil {\n\t\t\tst.selector = st.selector[:2]\n\t\t\tst.selector[0], st.selector[1] = cluster, host\n\t\t\tlvl = ms.GetLevel(st.selector)\n\t\t\tprevCluster, prevHost = cluster, host\n\t\t}\n\n\t\t// subtypes: cache []byte→string conversions; messages in a batch typically\n\t\t// share the same type/subtype so the hit rate is very high.\n\t\tst.selector = st.selector[:0]\n\t\tif len(st.typeBuf) > 0 {\n\t\t\tif !bytes.Equal(st.typeBuf, st.prevTypeBytes) {\n\t\t\t\tst.prevTypeBytes = append(st.prevTypeBytes[:0], st.typeBuf...)\n\t\t\t\tst.prevTypeStr = string(st.typeBuf)\n\t\t\t}\n\t\t\tst.selector = append(st.selector, st.prevTypeStr)\n\t\t\tif len(st.subTypeBuf) > 0 {\n\t\t\t\tif !bytes.Equal(st.subTypeBuf, st.prevSubTypeBytes) {\n\t\t\t\t\tst.prevSubTypeBytes = append(st.prevSubTypeBytes[:0], st.subTypeBuf...)\n\t\t\t\t\tst.prevSubTypeStr = string(st.subTypeBuf)\n\t\t\t\t}\n\t\t\t\tst.selector = append(st.selector, st.prevSubTypeStr)\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tkey, val, err := dec.NextField()\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tif key == nil {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\tif string(key) != \"value\" {\n\t\t\t\treturn fmt.Errorf(\"host %s: unknown field: '%s' (value: %#v)\", host, string(key), val)\n\t\t\t}\n\n\t\t\tif val.Kind() == lineprotocol.Float {\n\t\t\t\tmetric.Value = schema.Float(val.FloatV())\n\t\t\t} else if val.Kind() == lineprotocol.Int {\n\t\t\t\tmetric.Value = schema.Float(val.IntV())\n\t\t\t} else if val.Kind() == lineprotocol.Uint {\n\t\t\t\tmetric.Value = schema.Float(val.UintV())\n\t\t\t} else {\n\t\t\t\treturn fmt.Errorf(\"host %s: unsupported value type in message: %s\", host, val.Kind().String())\n\t\t\t}\n\t\t}\n\n\t\tif t, err = dec.Time(lineprotocol.Second, t); err != nil {\n\t\t\tt = time.Now()\n\t\t\tif t, err = dec.Time(lineprotocol.Millisecond, t); err != nil {\n\t\t\t\tt = time.Now()\n\t\t\t\tif t, err = dec.Time(lineprotocol.Microsecond, t); err != nil {\n\t\t\t\t\tt = time.Now()\n\t\t\t\t\tif t, err = dec.Time(lineprotocol.Nanosecond, t); err != nil {\n\t\t\t\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n\t\t}\n\n\t\ttime := t.Unix()\n\n\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\t\tmsg := &WALMessage{\n\t\t\t\tMetricName: string(st.metricBuf),\n\t\t\t\tCluster:    cluster,\n\t\t\t\tNode:       host,\n\t\t\t\tSelector:   append([]string{}, st.selector...),\n\t\t\t\tValue:      metric.Value,\n\t\t\t\tTimestamp:  time,\n\t\t\t}\n\t\t\tselect {\n\t\t\tcase WALMessages <- msg:\n\t\t\tdefault:\n\t\t\t\t// WAL channel full — metric is written to memory store but not WAL.\n\t\t\t\t// Next binary snapshot will capture it.\n\t\t\t\tif dropped := walDropped.Add(1); dropped%10000 == 1 {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> WAL channel full, dropped %d messages (data safe in memory, next snapshot will capture)\", dropped)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n\t\t\tcclog.Warnf(\"write error for host %s metric %s at ts %d: %s\", host, string(st.metricBuf), time, err.Error())\n\t\t\tcontinue\n\t\t}\n\t}\n\treturn nil\n}\n","numLines":382,"startLine":1,"totalLines":382}},"sourceToolAssistantUUID":"89e8ab32-1c9d-4c0d-b4c3-a3d9fad1a16b","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"parentUuid":"857ea268-ae28-4dde-bae7-4a938c7bfc2c","isSidechain":false,"promptId":"53f7aeff-f280-4fa6-a195-55ff40087d7e","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012X88QcakG9hKNwYLbzPDDG","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package metricstore provides an efficient in-memory time-series metric storage system\n     7→// with support for hierarchical data organization, checkpointing, and archiving.\n     8→//\n     9→// The package organizes metrics in a tree structure (cluster → host → component) and\n    10→// provides concurrent read/write access to metric data with configurable aggregation strategies.\n    11→// Background goroutines handle periodic checkpointing (JSON or Avro format), archiving old data,\n    12→// and enforcing retention policies.\n    13→//\n    14→// Key features:\n    15→//   - In-memory metric storage with configurable retention\n    16→//   - Hierarchical data organization (selectors)\n    17→//   - Concurrent checkpoint/archive workers\n    18→//   - Support for sum and average aggregation\n    19→//   - NATS integration for metric ingestion\n    20→package metricstore\n    21→\n    22→import (\n    23→\t\"bytes\"\n    24→\t\"context\"\n    25→\t\"encoding/json\"\n    26→\t\"errors\"\n    27→\t\"fmt\"\n    28→\t\"runtime\"\n    29→\t\"runtime/debug\"\n    30→\t\"slices\"\n    31→\t\"sync\"\n    32→\t\"time\"\n    33→\n    34→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    35→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    36→\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n    37→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    38→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n    39→)\n    40→\n    41→// GlobalState holds the global state for the metric store with thread-safe access.\n    42→type GlobalState struct {\n    43→\tmu                sync.RWMutex\n    44→\tlastRetentionTime int64\n    45→\tselectorsExcluded bool\n    46→}\n    47→\n    48→var (\n    49→\tsingleton  sync.Once\n    50→\tmsInstance *MemoryStore\n    51→\t// shutdownFunc stores the context cancellation function created in Init\n    52→\t// and is called during Shutdown to cancel all background goroutines\n    53→\tshutdownFunc   context.CancelFunc\n    54→\tshutdownFuncMu sync.Mutex // Protects shutdownFunc from concurrent access\n    55→\t// Create a global instance\n    56→\tstate = &GlobalState{}\n    57→)\n    58→\n    59→// NodeProvider provides information about nodes currently in use by running jobs.\n    60→//\n    61→// This interface allows metricstore to query job information without directly\n    62→// depending on the repository package, breaking the import cycle.\n    63→//\n    64→// Implementations should return nodes that are actively processing jobs started\n    65→// before the given timestamp. These nodes will be excluded from retention-based\n    66→// garbage collection to prevent data loss for jobs that are still running or\n    67→// recently completed.\n    68→type NodeProvider interface {\n    69→\t// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n    70→\t// that are currently in use by jobs that started before the given timestamp.\n    71→\t//\n    72→\t// Parameters:\n    73→\t//   - ts: Unix timestamp threshold - returns nodes with jobs started before this time\n    74→\t//\n    75→\t// Returns:\n    76→\t//   - Map of cluster names to lists of node hostnames that should be excluded from garbage collection\n    77→\t//   - Error if the query fails\n    78→\tGetUsedNodes(ts int64) (map[string][]string, error)\n    79→}\n    80→\n    81→// Metric represents a single metric data point to be written to the store.\n    82→type Metric struct {\n    83→\tName  string\n    84→\tValue schema.Float\n    85→\t// MetricConfig contains frequency and aggregation settings for this metric.\n    86→\t// If Frequency is 0, configuration will be looked up from MemoryStore.Metrics during Write().\n    87→\tMetricConfig MetricConfig\n    88→}\n    89→\n    90→// MemoryStore is the main in-memory time-series metric storage implementation.\n    91→//\n    92→// It organizes metrics in a hierarchical tree structure where each level represents\n    93→// a component of the system hierarchy (e.g., cluster → host → CPU). Each level can\n    94→// store multiple metrics as time-series buffers.\n    95→//\n    96→// The store is initialized as a singleton via InitMetrics() and accessed via GetMemoryStore().\n    97→// All public methods are safe for concurrent use.\n    98→type MemoryStore struct {\n    99→\tMetrics      map[string]MetricConfig\n   100→\troot         Level\n   101→\tnodeProvider NodeProvider\n   102→}\n   103→\n   104→// Init initializes the metric store from configuration and starts background workers.\n   105→//\n   106→// This function must be called exactly once before any other metricstore operations.\n   107→// It performs the following initialization steps:\n   108→//  1. Validates and decodes the metric store configuration\n   109→//  2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n   110→//  3. Loads metric configurations from all registered clusters\n   111→//  4. Restores checkpoints within the retention window\n   112→//  5. Starts background workers for retention, checkpointing, archiving, and monitoring\n   113→//  6. Optionally subscribes to NATS for real-time metric ingestion\n   114→//\n   115→// Parameters:\n   116→//   - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n   117→//   - wg: WaitGroup that will be incremented for each background goroutine started\n   118→//\n   119→// The function will call cclog.Fatal on critical errors during initialization.\n   120→// Use Shutdown() to cleanly stop all background workers started by Init().\n   121→//\n   122→// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n   123→// receiving termination signals to ensure checkpoint data is persisted.\n   124→func Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n   125→\tstartupTime := time.Now()\n   126→\n   127→\tif rawConfig != nil {\n   128→\t\tconfig.Validate(configSchema, rawConfig)\n   129→\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n   130→\t\tdec.DisallowUnknownFields()\n   131→\t\tif err := dec.Decode(&Keys); err != nil {\n   132→\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n   133→\t\t}\n   134→\t}\n   135→\n   136→\t// Set NumWorkers from config or use default\n   137→\tif Keys.NumWorkers <= 0 {\n   138→\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n   139→\t}\n   140→\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n   141→\n   142→\t// Pass the config.MetricStoreKeys\n   143→\tInitMetrics(metrics)\n   144→\n   145→\tms := GetMemoryStore()\n   146→\n   147→\td, err := time.ParseDuration(Keys.RetentionInMemory)\n   148→\tif err != nil {\n   149→\t\tcclog.Fatal(err)\n   150→\t}\n   151→\n   152→\trestoreFrom := startupTime.Add(-d)\n   153→\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n   154→\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n   155→\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n   156→\tif err != nil {\n   157→\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n   158→\t} else {\n   159→\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n   160→\t}\n   161→\n   162→\t// Try to use less memory by forcing a GC run here and then\n   163→\t// lowering the target percentage. The default of 100 means\n   164→\t// that only once the ratio of new allocations execeds the\n   165→\t// previously active heap, a GC is triggered.\n   166→\t// Forcing a GC here will set the \"previously active heap\"\n   167→\t// to a minumum.\n   168→\t// runtime.GC()\n   169→\n   170→\tctx, shutdown := context.WithCancel(context.Background())\n   171→\n   172→\tRetention(wg, ctx)\n   173→\tCheckpointing(wg, ctx)\n   174→\tCleanUp(wg, ctx)\n   175→\tWALStaging(wg, ctx)\n   176→\tMemoryUsageTracker(wg, ctx)\n   177→\n   178→\t// Note: Signal handling has been removed from this function.\n   179→\t// The caller is responsible for handling shutdown signals and calling\n   180→\t// the shutdown() function when appropriate.\n   181→\t// Store the shutdown function for later use by Shutdown()\n   182→\tshutdownFuncMu.Lock()\n   183→\tshutdownFunc = shutdown\n   184→\tshutdownFuncMu.Unlock()\n   185→\n   186→\tif Keys.Subscriptions != nil {\n   187→\t\terr = ReceiveNats(ms, Keys.NumWorkers, ctx)\n   188→\t\tif err != nil {\n   189→\t\t\tcclog.Fatal(err)\n   190→\t\t}\n   191→\t}\n   192→}\n   193→\n   194→// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n   195→//\n   196→// This function must be called before GetMemoryStore() and can only be called once due to\n   197→// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n   198→//\n   199→// Parameters:\n   200→//   - metrics: Map of metric names to their configurations (frequency and aggregation strategy)\n   201→//\n   202→// Panics if any metric has Frequency == 0, which indicates an invalid configuration.\n   203→//\n   204→// After this call, the global msInstance is ready for use via GetMemoryStore().\n   205→func InitMetrics(metrics map[string]MetricConfig) {\n   206→\tsingleton.Do(func() {\n   207→\t\toffset := 0\n   208→\t\tfor key, cfg := range metrics {\n   209→\t\t\tif cfg.Frequency == 0 {\n   210→\t\t\t\tpanic(\"[METRICSTORE]> invalid frequency\")\n   211→\t\t\t}\n   212→\n   213→\t\t\tmetrics[key] = MetricConfig{\n   214→\t\t\t\tFrequency:   cfg.Frequency,\n   215→\t\t\t\tAggregation: cfg.Aggregation,\n   216→\t\t\t\toffset:      offset,\n   217→\t\t\t}\n   218→\t\t\toffset += 1\n   219→\t\t}\n   220→\n   221→\t\tmsInstance = &MemoryStore{\n   222→\t\t\troot: Level{\n   223→\t\t\t\tmetrics:  make([]*buffer, len(metrics)),\n   224→\t\t\t\tchildren: make(map[string]*Level),\n   225→\t\t\t},\n   226→\t\t\tMetrics: metrics,\n   227→\t\t}\n   228→\t})\n   229→}\n   230→\n   231→// GetMemoryStore returns the singleton MemoryStore instance.\n   232→//\n   233→// Returns the initialized MemoryStore singleton. Calls cclog.Fatal if InitMetrics() was not called first.\n   234→//\n   235→// This function is safe for concurrent use after initialization.\n   236→func GetMemoryStore() *MemoryStore {\n   237→\tif msInstance == nil {\n   238→\t\tcclog.Warnf(\"[METRICSTORE]> MemoryStore not initialized!\")\n   239→\t}\n   240→\n   241→\treturn msInstance\n   242→}\n   243→\n   244→func (ms *MemoryStore) GetMetricFrequency(metricName string) (int64, error) {\n   245→\tif metric, ok := ms.Metrics[metricName]; ok {\n   246→\t\treturn metric.Frequency, nil\n   247→\t}\n   248→\treturn 0, fmt.Errorf(\"[METRICSTORE]> metric %s not found\", metricName)\n   249→}\n   250→\n   251→// SetNodeProvider sets the NodeProvider implementation for the MemoryStore.\n   252→// This must be called during initialization to provide job state information\n   253→// for selective buffer retention during Free operations.\n   254→// If not set, the Free function will fall back to freeing all buffers.\n   255→func (ms *MemoryStore) SetNodeProvider(provider NodeProvider) {\n   256→\tms.nodeProvider = provider\n   257→}\n   258→\n   259→// Shutdown performs a graceful shutdown of the metric store.\n   260→//\n   261→// This function cancels all background goroutines started by Init() and writes\n   262→// a final checkpoint to disk before returning. It should be called when the\n   263→// application receives a termination signal.\n   264→//\n   265→// The function will:\n   266→//  1. Cancel the context to stop all background workers\n   267→//  2. Close the WAL messages channel if using WAL format\n   268→//  3. Write a final checkpoint to preserve in-memory data\n   269→//  4. Log any errors encountered during shutdown\n   270→//\n   271→// Note: This function blocks until the final checkpoint is written.\n   272→func Shutdown() {\n   273→\tshutdownFuncMu.Lock()\n   274→\tdefer shutdownFuncMu.Unlock()\n   275→\tif shutdownFunc != nil {\n   276→\t\tshutdownFunc()\n   277→\t}\n   278→\n   279→\tif Keys.Checkpoints.FileFormat == \"wal\" {\n   280→\t\tclose(WALMessages)\n   281→\t}\n   282→\n   283→\tcclog.Infof(\"[METRICSTORE]> Writing to '%s'...\\n\", Keys.Checkpoints.RootDir)\n   284→\tvar files int\n   285→\tvar err error\n   286→\n   287→\tms := GetMemoryStore()\n   288→\n   289→\tlastCheckpointMu.Lock()\n   290→\tfrom := lastCheckpoint\n   291→\tlastCheckpointMu.Unlock()\n   292→\n   293→\tif Keys.Checkpoints.FileFormat == \"wal\" {\n   294→\t\tvar hostDirs []string\n   295→\t\tfiles, hostDirs, err = ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n   296→\t\tif err == nil {\n   297→\t\t\tRotateWALFilesAfterShutdown(hostDirs)\n   298→\t\t}\n   299→\t} else {\n   300→\t\tfiles, err = ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n   301→\t}\n   302→\n   303→\tif err != nil {\n   304→\t\tcclog.Errorf(\"[METRICSTORE]> Writing checkpoint failed: %s\\n\", err.Error())\n   305→\t}\n   306→\tcclog.Infof(\"[METRICSTORE]> Done! (%d files written)\\n\", files)\n   307→}\n   308→\n   309→// Retention starts a background goroutine that periodically frees old metric data.\n   310→//\n   311→// This worker runs at half the retention interval and calls Free() to remove buffers\n   312→// older than the configured retention time. It respects the NodeProvider to preserve\n   313→// data for nodes with active jobs.\n   314→//\n   315→// Parameters:\n   316→//   - wg: WaitGroup to signal completion when context is cancelled\n   317→//   - ctx: Context for cancellation signal\n   318→//\n   319→// The goroutine exits when ctx is cancelled.\n   320→func Retention(wg *sync.WaitGroup, ctx context.Context) {\n   321→\tms := GetMemoryStore()\n   322→\n   323→\twg.Go(func() {\n   324→\t\td, err := time.ParseDuration(Keys.RetentionInMemory)\n   325→\t\tif err != nil {\n   326→\t\t\tcclog.Fatal(err)\n   327→\t\t}\n   328→\t\tif d <= 0 {\n   329→\t\t\treturn\n   330→\t\t}\n   331→\n   332→\t\ttickInterval := d / 2\n   333→\t\tif tickInterval <= 0 {\n   334→\t\t\treturn\n   335→\t\t}\n   336→\t\tticker := time.NewTicker(tickInterval)\n   337→\t\tdefer ticker.Stop()\n   338→\n   339→\t\tfor {\n   340→\t\t\tselect {\n   341→\t\t\tcase <-ctx.Done():\n   342→\t\t\t\treturn\n   343→\t\t\tcase <-ticker.C:\n   344→\t\t\t\tstate.mu.Lock()\n   345→\n   346→\t\t\t\tt := time.Now().Add(-d)\n   347→\n   348→\t\t\t\tstate.lastRetentionTime = t.Unix()\n   349→\n   350→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start freeing buffers (older than %s)...\\n\", t.Format(time.RFC3339))\n   351→\n   352→\t\t\t\tfreed, err := Free(ms, t)\n   353→\t\t\t\tif err != nil {\n   354→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> freeing up buffers failed: %s\\n\", err.Error())\n   355→\t\t\t\t} else {\n   356→\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d buffers freed\\n\", freed)\n   357→\t\t\t\t}\n   358→\n   359→\t\t\t\tstate.mu.Unlock()\n   360→\n   361→\t\t\t\t// Clean up the buffer pool\n   362→\t\t\t\tbufferPool.Clean(state.lastRetentionTime)\n   363→\t\t\t}\n   364→\t\t}\n   365→\t})\n   366→}\n   367→\n   368→// MemoryUsageTracker starts a background goroutine that monitors memory usage.\n   369→//\n   370→// This worker checks actual process memory usage (via runtime.MemStats) periodically\n   371→// and force-frees buffers if memory exceeds the configured cap. It uses FreeOSMemory()\n   372→// to return memory to the OS after freeing buffers, avoiding aggressive GC that causes\n   373→// performance issues.\n   374→//\n   375→// The tracker logs both actual memory usage (heap allocated) and metric data size for\n   376→// visibility into memory overhead from Go runtime structures and allocations.\n   377→//\n   378→// Parameters:\n   379→//   - wg: WaitGroup to signal completion when context is cancelled\n   380→//   - ctx: Context for cancellation signal\n   381→//\n   382→// The goroutine exits when ctx is cancelled.\n   383→func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n   384→\tms := GetMemoryStore()\n   385→\n   386→\twg.Go(func() {\n   387→\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n   388→\t\tfastInterval := 30 * time.Second\n   389→\n   390→\t\tif normalInterval <= 0 {\n   391→\t\t\treturn\n   392→\t\t}\n   393→\n   394→\t\tticker := time.NewTicker(normalInterval)\n   395→\t\tdefer ticker.Stop()\n   396→\t\tcurrentInterval := normalInterval\n   397→\n   398→\t\tfor {\n   399→\t\t\tselect {\n   400→\t\t\tcase <-ctx.Done():\n   401→\t\t\t\treturn\n   402→\t\t\tcase <-ticker.C:\n   403→\t\t\t\tvar mem runtime.MemStats\n   404→\t\t\t\truntime.ReadMemStats(&mem)\n   405→\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n   406→\t\t\t\tmetricDataGB := ms.SizeInGB()\n   407→\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n   408→\n   409→\t\t\t\tfreedExcluded := 0\n   410→\t\t\t\tfreedEmergency := 0\n   411→\t\t\t\tvar err error\n   412→\n   413→\t\t\t\tstate.mu.RLock()\n   414→\t\t\t\tlastRetention := state.lastRetentionTime\n   415→\t\t\t\tselectorsExcluded := state.selectorsExcluded\n   416→\t\t\t\tstate.mu.RUnlock()\n   417→\n   418→\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n   419→\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n   420→\t\t\t\t\tif err != nil {\n   421→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n   422→\t\t\t\t\t}\n   423→\n   424→\t\t\t\t\tif freedExcluded > 0 {\n   425→\t\t\t\t\t\tdebug.FreeOSMemory()\n   426→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n   427→\t\t\t\t\t}\n   428→\t\t\t\t}\n   429→\n   430→\t\t\t\truntime.ReadMemStats(&mem)\n   431→\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n   432→\n   433→\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n   434→\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n   435→\n   436→\t\t\t\t\t// Use progressive time-based Free with increasing threshold\n   437→\t\t\t\t\t// instead of ForceFree loop — fewer tree traversals, more effective\n   438→\t\t\t\t\td, parseErr := time.ParseDuration(Keys.RetentionInMemory)\n   439→\t\t\t\t\tif parseErr != nil {\n   440→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> cannot parse retention duration: %s\", parseErr)\n   441→\t\t\t\t\t} else {\n   442→\t\t\t\t\t\tthresholds := []float64{0.75, 0.5, 0.25}\n   443→\t\t\t\t\t\tfor _, fraction := range thresholds {\n   444→\t\t\t\t\t\t\tthreshold := time.Now().Add(-time.Duration(float64(d) * fraction))\n   445→\t\t\t\t\t\t\tfreed, freeErr := ms.Free(nil, threshold.Unix())\n   446→\t\t\t\t\t\t\tif freeErr != nil {\n   447→\t\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s\", fraction*100, freeErr)\n   448→\t\t\t\t\t\t\t}\n   449→\t\t\t\t\t\t\tfreedEmergency += freed\n   450→\n   451→\t\t\t\t\t\t\tbufferPool.Clear()\n   452→\t\t\t\t\t\t\truntime.GC()\n   453→\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n   454→\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n   455→\n   456→\t\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n   457→\t\t\t\t\t\t\t\tbreak\n   458→\t\t\t\t\t\t\t}\n   459→\t\t\t\t\t\t}\n   460→\t\t\t\t\t}\n   461→\n   462→\t\t\t\t\tbufferPool.Clear()\n   463→\t\t\t\t\tdebug.FreeOSMemory()\n   464→\n   465→\t\t\t\t\truntime.ReadMemStats(&mem)\n   466→\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n   467→\n   468→\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n   469→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after emergency frees (%d buffers), memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n   470→\t\t\t\t\t} else {\n   471→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n   472→\t\t\t\t\t}\n   473→\t\t\t\t}\n   474→\n   475→\t\t\t\t// Adaptive ticker: check more frequently when memory is high\n   476→\t\t\t\tmemoryRatio := actualMemoryGB / float64(Keys.MemoryCap)\n   477→\t\t\t\tif memoryRatio > 0.8 && currentInterval != fastInterval {\n   478→\t\t\t\t\tticker.Reset(fastInterval)\n   479→\t\t\t\t\tcurrentInterval = fastInterval\n   480→\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)\", memoryRatio*100)\n   481→\t\t\t\t} else if memoryRatio <= 0.8 && currentInterval != normalInterval {\n   482→\t\t\t\t\tticker.Reset(normalInterval)\n   483→\t\t\t\t\tcurrentInterval = normalInterval\n   484→\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval\", memoryRatio*100)\n   485→\t\t\t\t}\n   486→\t\t\t}\n   487→\t\t}\n   488→\t})\n   489→}\n   490→\n   491→// Free removes metric data older than the given time while preserving data for active nodes.\n   492→//\n   493→// This function implements intelligent retention by consulting the NodeProvider (if configured)\n   494→// to determine which nodes are currently in use by running jobs. Data for these nodes is\n   495→// preserved even if older than the retention time.\n   496→//\n   497→// Parameters:\n   498→//   - ms: The MemoryStore instance\n   499→//   - t: Time threshold - buffers with data older than this will be freed\n   500→//\n   501→// Returns:\n   502→//   - Number of buffers freed\n   503→//   - Error if NodeProvider query fails\n   504→//\n   505→// Behavior:\n   506→//   - If no NodeProvider is set: frees all buffers older than t\n   507→//   - If NodeProvider returns empty map: frees all buffers older than t\n   508→//   - Otherwise: preserves buffers for nodes returned by GetUsedNodes(), frees others\n   509→func Free(ms *MemoryStore, t time.Time) (int, error) {\n   510→\t// If no NodeProvider is configured, free all buffers older than t\n   511→\tif ms.nodeProvider == nil {\n   512→\t\treturn ms.Free(nil, t.Unix())\n   513→\t}\n   514→\n   515→\texcludeSelectors, err := ms.nodeProvider.GetUsedNodes(t.Unix())\n   516→\tif err != nil {\n   517→\t\treturn 0, err\n   518→\t}\n   519→\n   520→\tswitch lenMap := len(excludeSelectors); lenMap {\n   521→\n   522→\t// If the length of the map returned by GetUsedNodes() is 0,\n   523→\t// then use default Free method with nil selector\n   524→\tcase 0:\n   525→\t\tstate.selectorsExcluded = false\n   526→\t\treturn ms.Free(nil, t.Unix())\n   527→\n   528→\t// Else formulate selectors, exclude those from the map\n   529→\t// and free the rest of the selectors\n   530→\tdefault:\n   531→\t\tstate.selectorsExcluded = true\n   532→\t\tselectors := GetSelectors(ms, excludeSelectors)\n   533→\t\treturn FreeSelected(ms, selectors, t)\n   534→\t}\n   535→}\n   536→\n   537→// FreeSelected frees buffers for specific selectors while preserving others.\n   538→//\n   539→// This function is used when we want to retain some specific nodes beyond the retention time.\n   540→// It iterates through the provided selectors and frees their associated buffers.\n   541→//\n   542→// Parameters:\n   543→//   - ms: The MemoryStore instance\n   544→//   - selectors: List of selector paths to free (e.g., [[\"cluster1\", \"node1\"], [\"cluster2\", \"node2\"]])\n   545→//   - t: Time threshold for freeing buffers\n   546→//\n   547→// Returns the total number of buffers freed and any error encountered.\n   548→func FreeSelected(ms *MemoryStore, selectors [][]string, t time.Time) (int, error) {\n   549→\tfreed := 0\n   550→\n   551→\tfor _, selector := range selectors {\n   552→\n   553→\t\tfreedBuffers, err := ms.Free(selector, t.Unix())\n   554→\t\tif err != nil {\n   555→\t\t\tcclog.Errorf(\"error while freeing selected buffers: %#v\", err)\n   556→\t\t}\n   557→\t\tfreed += freedBuffers\n   558→\n   559→\t}\n   560→\n   561→\treturn freed, nil\n   562→}\n   563→\n   564→// GetSelectors returns all selectors at depth 2 (cluster/node level) that are NOT in the exclusion map.\n   565→//\n   566→// This function generates a list of selectors whose buffers should be freed by excluding\n   567→// selectors that correspond to nodes currently in use by running jobs.\n   568→//\n   569→// Parameters:\n   570→//   - ms: The MemoryStore instance\n   571→//   - excludeSelectors: Map of cluster names to node hostnames that should NOT be freed\n   572→//\n   573→// Returns a list of selectors ([]string paths) that can be safely freed.\n   574→//\n   575→// Example:\n   576→//\n   577→//\tIf the tree has paths [\"emmy\", \"node001\"] and [\"emmy\", \"node002\"],\n   578→//\tand excludeSelectors contains {\"emmy\": [\"node001\"]},\n   579→//\tthen only [[\"emmy\", \"node002\"]] is returned.\n   580→func GetSelectors(ms *MemoryStore, excludeSelectors map[string][]string) [][]string {\n   581→\tallSelectors := ms.GetPaths(2)\n   582→\n   583→\tfilteredSelectors := make([][]string, 0, len(allSelectors))\n   584→\n   585→\tfor _, path := range allSelectors {\n   586→\t\tif len(path) < 2 {\n   587→\t\t\tcontinue\n   588→\t\t}\n   589→\n   590→\t\tkey := path[0]   // The \"Key\" (Level 1)\n   591→\t\tvalue := path[1] // The \"Value\" (Level 2)\n   592→\n   593→\t\texclude := false\n   594→\n   595→\t\t// Check if the key exists in our exclusion map\n   596→\t\tif excludedValues, exists := excludeSelectors[key]; exists {\n   597→\t\t\t// The key exists, now check if the specific value is in the exclusion list\n   598→\t\t\tif slices.Contains(excludedValues, value) {\n   599→\t\t\t\texclude = true\n   600→\t\t\t}\n   601→\t\t}\n   602→\n   603→\t\tif !exclude {\n   604→\t\t\tfilteredSelectors = append(filteredSelectors, path)\n   605→\t\t}\n   606→\t}\n   607→\n   608→\treturn filteredSelectors\n   609→}\n   610→\n   611→// GetPaths returns a list of lists (paths) to the specified depth.\n   612→func (ms *MemoryStore) GetPaths(targetDepth int) [][]string {\n   613→\tvar results [][]string\n   614→\n   615→\t// Start recursion. Initial path is empty.\n   616→\t// We treat Root as depth 0.\n   617→\tms.root.collectPaths(0, targetDepth, []string{}, &results)\n   618→\n   619→\treturn results\n   620→}\n   621→\n   622→// Write all values in `metrics` to the level specified by `selector` for time `ts`.\n   623→// Look at `findLevelOrCreate` for how selectors work.\n   624→func (m *MemoryStore) Write(selector []string, ts int64, metrics []Metric) error {\n   625→\tvar ok bool\n   626→\tfor i, metric := range metrics {\n   627→\t\tif metric.MetricConfig.Frequency == 0 {\n   628→\t\t\tmetric.MetricConfig, ok = m.Metrics[metric.Name]\n   629→\t\t\tif !ok {\n   630→\t\t\t\tcclog.Debugf(\"[METRICSTORE]> Unknown metric '%s' in Write() - skipping\", metric.Name)\n   631→\t\t\t\tmetric.MetricConfig.Frequency = 0\n   632→\t\t\t}\n   633→\t\t\tmetrics[i] = metric\n   634→\t\t}\n   635→\t}\n   636→\n   637→\treturn m.WriteToLevel(&m.root, selector, ts, metrics)\n   638→}\n   639→\n   640→func (m *MemoryStore) GetLevel(selector []string) *Level {\n   641→\treturn m.root.findLevelOrCreate(selector, len(m.Metrics))\n   642→}\n   643→\n   644→// WriteToLevel assumes that `minfo` in `metrics` is filled in\n   645→func (m *MemoryStore) WriteToLevel(l *Level, selector []string, ts int64, metrics []Metric) error {\n   646→\tl = l.findLevelOrCreate(selector, len(m.Metrics))\n   647→\tl.lock.Lock()\n   648→\tdefer l.lock.Unlock()\n   649→\n   650→\tfor _, metric := range metrics {\n   651→\t\tif metric.MetricConfig.Frequency == 0 {\n   652→\t\t\tcontinue\n   653→\t\t}\n   654→\n   655→\t\tb := l.metrics[metric.MetricConfig.offset]\n   656→\t\tif b == nil {\n   657→\t\t\t// First write to this metric and level\n   658→\t\t\tb = newBuffer(ts, metric.MetricConfig.Frequency)\n   659→\t\t\tl.metrics[metric.MetricConfig.offset] = b\n   660→\t\t}\n   661→\n   662→\t\tnb, err := b.write(ts, metric.Value)\n   663→\t\tif err != nil {\n   664→\t\t\treturn err\n   665→\t\t}\n   666→\n   667→\t\t// Last write created a new buffer...\n   668→\t\tif b != nb {\n   669→\t\t\tl.metrics[metric.MetricConfig.offset] = nb\n   670→\t\t}\n   671→\t}\n   672→\treturn nil\n   673→}\n   674→\n   675→// Read returns all values for metric `metric` from `from` to `to` for the selected level(s).\n   676→// If the level does not hold the metric itself, the data will be aggregated recursively from the children.\n   677→// The second and third return value are the actual from/to for the data. Those can be different from\n   678→// the range asked for if no data was available.\n   679→func (m *MemoryStore) Read(selector util.Selector, metric string, from, to, resolution int64) ([]schema.Float, int64, int64, int64, error) {\n   680→\tif from > to {\n   681→\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid time range\")\n   682→\t}\n   683→\n   684→\tminfo, ok := m.Metrics[metric]\n   685→\tif !ok {\n   686→\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> unknown metric: \" + metric)\n   687→\t}\n   688→\n   689→\tn, data := 0, make([]schema.Float, (to-from)/minfo.Frequency+1)\n   690→\n   691→\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n   692→\t\tcdata, cfrom, cto, err := b.read(from, to, data)\n   693→\t\tif err != nil {\n   694→\t\t\treturn err\n   695→\t\t}\n   696→\n   697→\t\tif n == 0 {\n   698→\t\t\tfrom, to = cfrom, cto\n   699→\t\t} else if from != cfrom || to != cto || len(data) != len(cdata) {\n   700→\t\t\tmissingfront, missingback := int((from-cfrom)/minfo.Frequency), int((to-cto)/minfo.Frequency)\n   701→\t\t\tif missingfront != 0 {\n   702→\t\t\t\treturn ErrDataDoesNotAlign\n   703→\t\t\t}\n   704→\n   705→\t\t\tnewlen := len(cdata) - missingback\n   706→\t\t\tif newlen < 1 {\n   707→\t\t\t\treturn ErrDataDoesNotAlign\n   708→\t\t\t}\n   709→\t\t\tcdata = cdata[0:newlen]\n   710→\t\t\tif len(cdata) != len(data) {\n   711→\t\t\t\treturn ErrDataDoesNotAlign\n   712→\t\t\t}\n   713→\n   714→\t\t\tfrom, to = cfrom, cto\n   715→\t\t}\n   716→\n   717→\t\tdata = cdata\n   718→\t\tn += 1\n   719→\t\treturn nil\n   720→\t})\n   721→\n   722→\tif err != nil {\n   723→\t\treturn nil, 0, 0, 0, err\n   724→\t} else if n == 0 {\n   725→\t\treturn nil, 0, 0, 0, ErrNoHostOrMetric\n   726→\t} else if n > 1 {\n   727→\t\tif minfo.Aggregation == AvgAggregation {\n   728→\t\t\tnormalize := 1. / schema.Float(n)\n   729→\t\t\tfor i := 0; i < len(data); i++ {\n   730→\t\t\t\tdata[i] *= normalize\n   731→\t\t\t}\n   732→\t\t} else if minfo.Aggregation != SumAggregation {\n   733→\t\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid aggregation\")\n   734→\t\t}\n   735→\t}\n   736→\n   737→\tdata, resolution, err = resampler.LargestTriangleThreeBucket(data, minfo.Frequency, resolution)\n   738→\tif err != nil {\n   739→\t\treturn nil, 0, 0, 0, err\n   740→\t}\n   741→\n   742→\treturn data, from, to, resolution, nil\n   743→}\n   744→\n   745→// Free releases all buffers for the selected level and all its children that\n   746→// contain only values older than `t`.\n   747→func (m *MemoryStore) Free(selector []string, t int64) (int, error) {\n   748→\treturn m.GetLevel(selector).free(t)\n   749→}\n   750→\n   751→// ForceFree unconditionally removes the oldest buffer from each metric chain.\n   752→func (m *MemoryStore) ForceFree() (int, error) {\n   753→\treturn m.GetLevel(nil).forceFree()\n   754→}\n   755→\n   756→func (m *MemoryStore) FreeAll() error {\n   757→\tm.root.lock.Lock()\n   758→\tdefer m.root.lock.Unlock()\n   759→\n   760→\tfor k := range m.root.children {\n   761→\t\tdelete(m.root.children, k)\n   762→\t}\n   763→\n   764→\treturn nil\n   765→}\n   766→\n   767→func (m *MemoryStore) SizeInBytes() int64 {\n   768→\treturn m.root.sizeInBytes()\n   769→}\n   770→\n   771→func (m *MemoryStore) SizeInGB() float64 {\n   772→\treturn float64(m.root.sizeInBytes()) / 1e9\n   773→}\n   774→\n   775→// ListChildren , given a selector, returns a list of all children of the level\n   776→// selected.\n   777→func (m *MemoryStore) ListChildren(selector []string) []string {\n   778→\tlvl := &m.root\n   779→\tfor lvl != nil && len(selector) != 0 {\n   780→\t\tlvl.lock.RLock()\n   781→\t\tnext := lvl.children[selector[0]]\n   782→\t\tlvl.lock.RUnlock()\n   783→\t\tlvl = next\n   784→\t\tselector = selector[1:]\n   785→\t}\n   786→\n   787→\tif lvl == nil {\n   788→\t\treturn nil\n   789→\t}\n   790→\n   791→\tlvl.lock.RLock()\n   792→\tdefer lvl.lock.RUnlock()\n   793→\n   794→\tchildren := make([]string, 0, len(lvl.children))\n   795→\tfor child := range lvl.children {\n   796→\t\tchildren = append(children, child)\n   797→\t}\n   798→\n   799→\treturn children\n   800→}\n   801→"}]},"uuid":"0f4c1787-87de-49e0-99d1-bfbd5aed3be2","timestamp":"2026-03-18T05:29:24.072Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides an efficient in-memory time-series metric storage system\n// with support for hierarchical data organization, checkpointing, and archiving.\n//\n// The package organizes metrics in a tree structure (cluster → host → component) and\n// provides concurrent read/write access to metric data with configurable aggregation strategies.\n// Background goroutines handle periodic checkpointing (JSON or Avro format), archiving old data,\n// and enforcing retention policies.\n//\n// Key features:\n//   - In-memory metric storage with configurable retention\n//   - Hierarchical data organization (selectors)\n//   - Concurrent checkpoint/archive workers\n//   - Support for sum and average aggregation\n//   - NATS integration for metric ingestion\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"runtime\"\n\t\"runtime/debug\"\n\t\"slices\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// GlobalState holds the global state for the metric store with thread-safe access.\ntype GlobalState struct {\n\tmu                sync.RWMutex\n\tlastRetentionTime int64\n\tselectorsExcluded bool\n}\n\nvar (\n\tsingleton  sync.Once\n\tmsInstance *MemoryStore\n\t// shutdownFunc stores the context cancellation function created in Init\n\t// and is called during Shutdown to cancel all background goroutines\n\tshutdownFunc   context.CancelFunc\n\tshutdownFuncMu sync.Mutex // Protects shutdownFunc from concurrent access\n\t// Create a global instance\n\tstate = &GlobalState{}\n)\n\n// NodeProvider provides information about nodes currently in use by running jobs.\n//\n// This interface allows metricstore to query job information without directly\n// depending on the repository package, breaking the import cycle.\n//\n// Implementations should return nodes that are actively processing jobs started\n// before the given timestamp. These nodes will be excluded from retention-based\n// garbage collection to prevent data loss for jobs that are still running or\n// recently completed.\ntype NodeProvider interface {\n\t// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n\t// that are currently in use by jobs that started before the given timestamp.\n\t//\n\t// Parameters:\n\t//   - ts: Unix timestamp threshold - returns nodes with jobs started before this time\n\t//\n\t// Returns:\n\t//   - Map of cluster names to lists of node hostnames that should be excluded from garbage collection\n\t//   - Error if the query fails\n\tGetUsedNodes(ts int64) (map[string][]string, error)\n}\n\n// Metric represents a single metric data point to be written to the store.\ntype Metric struct {\n\tName  string\n\tValue schema.Float\n\t// MetricConfig contains frequency and aggregation settings for this metric.\n\t// If Frequency is 0, configuration will be looked up from MemoryStore.Metrics during Write().\n\tMetricConfig MetricConfig\n}\n\n// MemoryStore is the main in-memory time-series metric storage implementation.\n//\n// It organizes metrics in a hierarchical tree structure where each level represents\n// a component of the system hierarchy (e.g., cluster → host → CPU). Each level can\n// store multiple metrics as time-series buffers.\n//\n// The store is initialized as a singleton via InitMetrics() and accessed via GetMemoryStore().\n// All public methods are safe for concurrent use.\ntype MemoryStore struct {\n\tMetrics      map[string]MetricConfig\n\troot         Level\n\tnodeProvider NodeProvider\n}\n\n// Init initializes the metric store from configuration and starts background workers.\n//\n// This function must be called exactly once before any other metricstore operations.\n// It performs the following initialization steps:\n//  1. Validates and decodes the metric store configuration\n//  2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n//  3. Loads metric configurations from all registered clusters\n//  4. Restores checkpoints within the retention window\n//  5. Starts background workers for retention, checkpointing, archiving, and monitoring\n//  6. Optionally subscribes to NATS for real-time metric ingestion\n//\n// Parameters:\n//   - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n//   - wg: WaitGroup that will be incremented for each background goroutine started\n//\n// The function will call cclog.Fatal on critical errors during initialization.\n// Use Shutdown() to cleanly stop all background workers started by Init().\n//\n// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n// receiving termination signals to ensure checkpoint data is persisted.\nfunc Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n\tstartupTime := time.Now()\n\n\tif rawConfig != nil {\n\t\tconfig.Validate(configSchema, rawConfig)\n\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n\t\tdec.DisallowUnknownFields()\n\t\tif err := dec.Decode(&Keys); err != nil {\n\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n\t\t}\n\t}\n\n\t// Set NumWorkers from config or use default\n\tif Keys.NumWorkers <= 0 {\n\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n\t}\n\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n\n\t// Pass the config.MetricStoreKeys\n\tInitMetrics(metrics)\n\n\tms := GetMemoryStore()\n\n\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\tif err != nil {\n\t\tcclog.Fatal(err)\n\t}\n\n\trestoreFrom := startupTime.Add(-d)\n\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n\tif err != nil {\n\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n\t} else {\n\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n\t}\n\n\t// Try to use less memory by forcing a GC run here and then\n\t// lowering the target percentage. The default of 100 means\n\t// that only once the ratio of new allocations execeds the\n\t// previously active heap, a GC is triggered.\n\t// Forcing a GC here will set the \"previously active heap\"\n\t// to a minumum.\n\t// runtime.GC()\n\n\tctx, shutdown := context.WithCancel(context.Background())\n\n\tRetention(wg, ctx)\n\tCheckpointing(wg, ctx)\n\tCleanUp(wg, ctx)\n\tWALStaging(wg, ctx)\n\tMemoryUsageTracker(wg, ctx)\n\n\t// Note: Signal handling has been removed from this function.\n\t// The caller is responsible for handling shutdown signals and calling\n\t// the shutdown() function when appropriate.\n\t// Store the shutdown function for later use by Shutdown()\n\tshutdownFuncMu.Lock()\n\tshutdownFunc = shutdown\n\tshutdownFuncMu.Unlock()\n\n\tif Keys.Subscriptions != nil {\n\t\terr = ReceiveNats(ms, Keys.NumWorkers, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t}\n}\n\n// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n//\n// This function must be called before GetMemoryStore() and can only be called once due to\n// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n//\n// Parameters:\n//   - metrics: Map of metric names to their configurations (frequency and aggregation strategy)\n//\n// Panics if any metric has Frequency == 0, which indicates an invalid configuration.\n//\n// After this call, the global msInstance is ready for use via GetMemoryStore().\nfunc InitMetrics(metrics map[string]MetricConfig) {\n\tsingleton.Do(func() {\n\t\toffset := 0\n\t\tfor key, cfg := range metrics {\n\t\t\tif cfg.Frequency == 0 {\n\t\t\t\tpanic(\"[METRICSTORE]> invalid frequency\")\n\t\t\t}\n\n\t\t\tmetrics[key] = MetricConfig{\n\t\t\t\tFrequency:   cfg.Frequency,\n\t\t\t\tAggregation: cfg.Aggregation,\n\t\t\t\toffset:      offset,\n\t\t\t}\n\t\t\toffset += 1\n\t\t}\n\n\t\tmsInstance = &MemoryStore{\n\t\t\troot: Level{\n\t\t\t\tmetrics:  make([]*buffer, len(metrics)),\n\t\t\t\tchildren: make(map[string]*Level),\n\t\t\t},\n\t\t\tMetrics: metrics,\n\t\t}\n\t})\n}\n\n// GetMemoryStore returns the singleton MemoryStore instance.\n//\n// Returns the initialized MemoryStore singleton. Calls cclog.Fatal if InitMetrics() was not called first.\n//\n// This function is safe for concurrent use after initialization.\nfunc GetMemoryStore() *MemoryStore {\n\tif msInstance == nil {\n\t\tcclog.Warnf(\"[METRICSTORE]> MemoryStore not initialized!\")\n\t}\n\n\treturn msInstance\n}\n\nfunc (ms *MemoryStore) GetMetricFrequency(metricName string) (int64, error) {\n\tif metric, ok := ms.Metrics[metricName]; ok {\n\t\treturn metric.Frequency, nil\n\t}\n\treturn 0, fmt.Errorf(\"[METRICSTORE]> metric %s not found\", metricName)\n}\n\n// SetNodeProvider sets the NodeProvider implementation for the MemoryStore.\n// This must be called during initialization to provide job state information\n// for selective buffer retention during Free operations.\n// If not set, the Free function will fall back to freeing all buffers.\nfunc (ms *MemoryStore) SetNodeProvider(provider NodeProvider) {\n\tms.nodeProvider = provider\n}\n\n// Shutdown performs a graceful shutdown of the metric store.\n//\n// This function cancels all background goroutines started by Init() and writes\n// a final checkpoint to disk before returning. It should be called when the\n// application receives a termination signal.\n//\n// The function will:\n//  1. Cancel the context to stop all background workers\n//  2. Close the WAL messages channel if using WAL format\n//  3. Write a final checkpoint to preserve in-memory data\n//  4. Log any errors encountered during shutdown\n//\n// Note: This function blocks until the final checkpoint is written.\nfunc Shutdown() {\n\tshutdownFuncMu.Lock()\n\tdefer shutdownFuncMu.Unlock()\n\tif shutdownFunc != nil {\n\t\tshutdownFunc()\n\t}\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tclose(WALMessages)\n\t}\n\n\tcclog.Infof(\"[METRICSTORE]> Writing to '%s'...\\n\", Keys.Checkpoints.RootDir)\n\tvar files int\n\tvar err error\n\n\tms := GetMemoryStore()\n\n\tlastCheckpointMu.Lock()\n\tfrom := lastCheckpoint\n\tlastCheckpointMu.Unlock()\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tvar hostDirs []string\n\t\tfiles, hostDirs, err = ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t\tif err == nil {\n\t\t\tRotateWALFilesAfterShutdown(hostDirs)\n\t\t}\n\t} else {\n\t\tfiles, err = ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t}\n\n\tif err != nil {\n\t\tcclog.Errorf(\"[METRICSTORE]> Writing checkpoint failed: %s\\n\", err.Error())\n\t}\n\tcclog.Infof(\"[METRICSTORE]> Done! (%d files written)\\n\", files)\n}\n\n// Retention starts a background goroutine that periodically frees old metric data.\n//\n// This worker runs at half the retention interval and calls Free() to remove buffers\n// older than the configured retention time. It respects the NodeProvider to preserve\n// data for nodes with active jobs.\n//\n// Parameters:\n//   - wg: WaitGroup to signal completion when context is cancelled\n//   - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc Retention(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\ttickInterval := d / 2\n\t\tif tickInterval <= 0 {\n\t\t\treturn\n\t\t}\n\t\tticker := time.NewTicker(tickInterval)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tstate.mu.Lock()\n\n\t\t\t\tt := time.Now().Add(-d)\n\n\t\t\t\tstate.lastRetentionTime = t.Unix()\n\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start freeing buffers (older than %s)...\\n\", t.Format(time.RFC3339))\n\n\t\t\t\tfreed, err := Free(ms, t)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> freeing up buffers failed: %s\\n\", err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d buffers freed\\n\", freed)\n\t\t\t\t}\n\n\t\t\t\tstate.mu.Unlock()\n\n\t\t\t\t// Clean up the buffer pool\n\t\t\t\tbufferPool.Clean(state.lastRetentionTime)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// MemoryUsageTracker starts a background goroutine that monitors memory usage.\n//\n// This worker checks actual process memory usage (via runtime.MemStats) periodically\n// and force-frees buffers if memory exceeds the configured cap. It uses FreeOSMemory()\n// to return memory to the OS after freeing buffers, avoiding aggressive GC that causes\n// performance issues.\n//\n// The tracker logs both actual memory usage (heap allocated) and metric data size for\n// visibility into memory overhead from Go runtime structures and allocations.\n//\n// Parameters:\n//   - wg: WaitGroup to signal completion when context is cancelled\n//   - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n\t\tfastInterval := 30 * time.Second\n\n\t\tif normalInterval <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(normalInterval)\n\t\tdefer ticker.Stop()\n\t\tcurrentInterval := normalInterval\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tvar mem runtime.MemStats\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n\t\t\t\tmetricDataGB := ms.SizeInGB()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n\n\t\t\t\tfreedExcluded := 0\n\t\t\t\tfreedEmergency := 0\n\t\t\t\tvar err error\n\n\t\t\t\tstate.mu.RLock()\n\t\t\t\tlastRetention := state.lastRetentionTime\n\t\t\t\tselectorsExcluded := state.selectorsExcluded\n\t\t\t\tstate.mu.RUnlock()\n\n\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n\t\t\t\t\t}\n\n\t\t\t\t\tif freedExcluded > 0 {\n\t\t\t\t\t\tdebug.FreeOSMemory()\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n\n\t\t\t\t\t// Use progressive time-based Free with increasing threshold\n\t\t\t\t\t// instead of ForceFree loop — fewer tree traversals, more effective\n\t\t\t\t\td, parseErr := time.ParseDuration(Keys.RetentionInMemory)\n\t\t\t\t\tif parseErr != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> cannot parse retention duration: %s\", parseErr)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tthresholds := []float64{0.75, 0.5, 0.25}\n\t\t\t\t\t\tfor _, fraction := range thresholds {\n\t\t\t\t\t\t\tthreshold := time.Now().Add(-time.Duration(float64(d) * fraction))\n\t\t\t\t\t\t\tfreed, freeErr := ms.Free(nil, threshold.Unix())\n\t\t\t\t\t\t\tif freeErr != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s\", fraction*100, freeErr)\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tfreedEmergency += freed\n\n\t\t\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\t\t\truntime.GC()\n\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n\t\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\tdebug.FreeOSMemory()\n\n\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after emergency frees (%d buffers), memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\t// Adaptive ticker: check more frequently when memory is high\n\t\t\t\tmemoryRatio := actualMemoryGB / float64(Keys.MemoryCap)\n\t\t\t\tif memoryRatio > 0.8 && currentInterval != fastInterval {\n\t\t\t\t\tticker.Reset(fastInterval)\n\t\t\t\t\tcurrentInterval = fastInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)\", memoryRatio*100)\n\t\t\t\t} else if memoryRatio <= 0.8 && currentInterval != normalInterval {\n\t\t\t\t\tticker.Reset(normalInterval)\n\t\t\t\t\tcurrentInterval = normalInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval\", memoryRatio*100)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\n// Free removes metric data older than the given time while preserving data for active nodes.\n//\n// This function implements intelligent retention by consulting the NodeProvider (if configured)\n// to determine which nodes are currently in use by running jobs. Data for these nodes is\n// preserved even if older than the retention time.\n//\n// Parameters:\n//   - ms: The MemoryStore instance\n//   - t: Time threshold - buffers with data older than this will be freed\n//\n// Returns:\n//   - Number of buffers freed\n//   - Error if NodeProvider query fails\n//\n// Behavior:\n//   - If no NodeProvider is set: frees all buffers older than t\n//   - If NodeProvider returns empty map: frees all buffers older than t\n//   - Otherwise: preserves buffers for nodes returned by GetUsedNodes(), frees others\nfunc Free(ms *MemoryStore, t time.Time) (int, error) {\n\t// If no NodeProvider is configured, free all buffers older than t\n\tif ms.nodeProvider == nil {\n\t\treturn ms.Free(nil, t.Unix())\n\t}\n\n\texcludeSelectors, err := ms.nodeProvider.GetUsedNodes(t.Unix())\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\tswitch lenMap := len(excludeSelectors); lenMap {\n\n\t// If the length of the map returned by GetUsedNodes() is 0,\n\t// then use default Free method with nil selector\n\tcase 0:\n\t\tstate.selectorsExcluded = false\n\t\treturn ms.Free(nil, t.Unix())\n\n\t// Else formulate selectors, exclude those from the map\n\t// and free the rest of the selectors\n\tdefault:\n\t\tstate.selectorsExcluded = true\n\t\tselectors := GetSelectors(ms, excludeSelectors)\n\t\treturn FreeSelected(ms, selectors, t)\n\t}\n}\n\n// FreeSelected frees buffers for specific selectors while preserving others.\n//\n// This function is used when we want to retain some specific nodes beyond the retention time.\n// It iterates through the provided selectors and frees their associated buffers.\n//\n// Parameters:\n//   - ms: The MemoryStore instance\n//   - selectors: List of selector paths to free (e.g., [[\"cluster1\", \"node1\"], [\"cluster2\", \"node2\"]])\n//   - t: Time threshold for freeing buffers\n//\n// Returns the total number of buffers freed and any error encountered.\nfunc FreeSelected(ms *MemoryStore, selectors [][]string, t time.Time) (int, error) {\n\tfreed := 0\n\n\tfor _, selector := range selectors {\n\n\t\tfreedBuffers, err := ms.Free(selector, t.Unix())\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"error while freeing selected buffers: %#v\", err)\n\t\t}\n\t\tfreed += freedBuffers\n\n\t}\n\n\treturn freed, nil\n}\n\n// GetSelectors returns all selectors at depth 2 (cluster/node level) that are NOT in the exclusion map.\n//\n// This function generates a list of selectors whose buffers should be freed by excluding\n// selectors that correspond to nodes currently in use by running jobs.\n//\n// Parameters:\n//   - ms: The MemoryStore instance\n//   - excludeSelectors: Map of cluster names to node hostnames that should NOT be freed\n//\n// Returns a list of selectors ([]string paths) that can be safely freed.\n//\n// Example:\n//\n//\tIf the tree has paths [\"emmy\", \"node001\"] and [\"emmy\", \"node002\"],\n//\tand excludeSelectors contains {\"emmy\": [\"node001\"]},\n//\tthen only [[\"emmy\", \"node002\"]] is returned.\nfunc GetSelectors(ms *MemoryStore, excludeSelectors map[string][]string) [][]string {\n\tallSelectors := ms.GetPaths(2)\n\n\tfilteredSelectors := make([][]string, 0, len(allSelectors))\n\n\tfor _, path := range allSelectors {\n\t\tif len(path) < 2 {\n\t\t\tcontinue\n\t\t}\n\n\t\tkey := path[0]   // The \"Key\" (Level 1)\n\t\tvalue := path[1] // The \"Value\" (Level 2)\n\n\t\texclude := false\n\n\t\t// Check if the key exists in our exclusion map\n\t\tif excludedValues, exists := excludeSelectors[key]; exists {\n\t\t\t// The key exists, now check if the specific value is in the exclusion list\n\t\t\tif slices.Contains(excludedValues, value) {\n\t\t\t\texclude = true\n\t\t\t}\n\t\t}\n\n\t\tif !exclude {\n\t\t\tfilteredSelectors = append(filteredSelectors, path)\n\t\t}\n\t}\n\n\treturn filteredSelectors\n}\n\n// GetPaths returns a list of lists (paths) to the specified depth.\nfunc (ms *MemoryStore) GetPaths(targetDepth int) [][]string {\n\tvar results [][]string\n\n\t// Start recursion. Initial path is empty.\n\t// We treat Root as depth 0.\n\tms.root.collectPaths(0, targetDepth, []string{}, &results)\n\n\treturn results\n}\n\n// Write all values in `metrics` to the level specified by `selector` for time `ts`.\n// Look at `findLevelOrCreate` for how selectors work.\nfunc (m *MemoryStore) Write(selector []string, ts int64, metrics []Metric) error {\n\tvar ok bool\n\tfor i, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tmetric.MetricConfig, ok = m.Metrics[metric.Name]\n\t\t\tif !ok {\n\t\t\t\tcclog.Debugf(\"[METRICSTORE]> Unknown metric '%s' in Write() - skipping\", metric.Name)\n\t\t\t\tmetric.MetricConfig.Frequency = 0\n\t\t\t}\n\t\t\tmetrics[i] = metric\n\t\t}\n\t}\n\n\treturn m.WriteToLevel(&m.root, selector, ts, metrics)\n}\n\nfunc (m *MemoryStore) GetLevel(selector []string) *Level {\n\treturn m.root.findLevelOrCreate(selector, len(m.Metrics))\n}\n\n// WriteToLevel assumes that `minfo` in `metrics` is filled in\nfunc (m *MemoryStore) WriteToLevel(l *Level, selector []string, ts int64, metrics []Metric) error {\n\tl = l.findLevelOrCreate(selector, len(m.Metrics))\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tfor _, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tcontinue\n\t\t}\n\n\t\tb := l.metrics[metric.MetricConfig.offset]\n\t\tif b == nil {\n\t\t\t// First write to this metric and level\n\t\t\tb = newBuffer(ts, metric.MetricConfig.Frequency)\n\t\t\tl.metrics[metric.MetricConfig.offset] = b\n\t\t}\n\n\t\tnb, err := b.write(ts, metric.Value)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\t// Last write created a new buffer...\n\t\tif b != nb {\n\t\t\tl.metrics[metric.MetricConfig.offset] = nb\n\t\t}\n\t}\n\treturn nil\n}\n\n// Read returns all values for metric `metric` from `from` to `to` for the selected level(s).\n// If the level does not hold the metric itself, the data will be aggregated recursively from the children.\n// The second and third return value are the actual from/to for the data. Those can be different from\n// the range asked for if no data was available.\nfunc (m *MemoryStore) Read(selector util.Selector, metric string, from, to, resolution int64) ([]schema.Float, int64, int64, int64, error) {\n\tif from > to {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid time range\")\n\t}\n\n\tminfo, ok := m.Metrics[metric]\n\tif !ok {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> unknown metric: \" + metric)\n\t}\n\n\tn, data := 0, make([]schema.Float, (to-from)/minfo.Frequency+1)\n\n\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n\t\tcdata, cfrom, cto, err := b.read(from, to, data)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif n == 0 {\n\t\t\tfrom, to = cfrom, cto\n\t\t} else if from != cfrom || to != cto || len(data) != len(cdata) {\n\t\t\tmissingfront, missingback := int((from-cfrom)/minfo.Frequency), int((to-cto)/minfo.Frequency)\n\t\t\tif missingfront != 0 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tnewlen := len(cdata) - missingback\n\t\t\tif newlen < 1 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\t\t\tcdata = cdata[0:newlen]\n\t\t\tif len(cdata) != len(data) {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tfrom, to = cfrom, cto\n\t\t}\n\n\t\tdata = cdata\n\t\tn += 1\n\t\treturn nil\n\t})\n\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t} else if n == 0 {\n\t\treturn nil, 0, 0, 0, ErrNoHostOrMetric\n\t} else if n > 1 {\n\t\tif minfo.Aggregation == AvgAggregation {\n\t\t\tnormalize := 1. / schema.Float(n)\n\t\t\tfor i := 0; i < len(data); i++ {\n\t\t\t\tdata[i] *= normalize\n\t\t\t}\n\t\t} else if minfo.Aggregation != SumAggregation {\n\t\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid aggregation\")\n\t\t}\n\t}\n\n\tdata, resolution, err = resampler.LargestTriangleThreeBucket(data, minfo.Frequency, resolution)\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t}\n\n\treturn data, from, to, resolution, nil\n}\n\n// Free releases all buffers for the selected level and all its children that\n// contain only values older than `t`.\nfunc (m *MemoryStore) Free(selector []string, t int64) (int, error) {\n\treturn m.GetLevel(selector).free(t)\n}\n\n// ForceFree unconditionally removes the oldest buffer from each metric chain.\nfunc (m *MemoryStore) ForceFree() (int, error) {\n\treturn m.GetLevel(nil).forceFree()\n}\n\nfunc (m *MemoryStore) FreeAll() error {\n\tm.root.lock.Lock()\n\tdefer m.root.lock.Unlock()\n\n\tfor k := range m.root.children {\n\t\tdelete(m.root.children, k)\n\t}\n\n\treturn nil\n}\n\nfunc (m *MemoryStore) SizeInBytes() int64 {\n\treturn m.root.sizeInBytes()\n}\n\nfunc (m *MemoryStore) SizeInGB() float64 {\n\treturn float64(m.root.sizeInBytes()) / 1e9\n}\n\n// ListChildren , given a selector, returns a list of all children of the level\n// selected.\nfunc (m *MemoryStore) ListChildren(selector []string) []string {\n\tlvl := &m.root\n\tfor lvl != nil && len(selector) != 0 {\n\t\tlvl.lock.RLock()\n\t\tnext := lvl.children[selector[0]]\n\t\tlvl.lock.RUnlock()\n\t\tlvl = next\n\t\tselector = selector[1:]\n\t}\n\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\tlvl.lock.RLock()\n\tdefer lvl.lock.RUnlock()\n\n\tchildren := make([]string, 0, len(lvl.children))\n\tfor child := range lvl.children {\n\t\tchildren = append(children, child)\n\t}\n\n\treturn children\n}\n","numLines":801,"startLine":1,"totalLines":801}},"sourceToolAssistantUUID":"857ea268-ae28-4dde-bae7-4a938c7bfc2c","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n//\n// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n// per host, eliminating the extra memory overhead of the AvroStore and providing\n// truly continuous (per-write) crash safety.\n//\n// # Architecture\n//\n//\tMetric write (DecodeLine)\n//\t      │\n//\t      ├─► WriteToLevel()    → main MemoryStore (unchanged)\n//\t      │\n//\t      └─► WALMessages channel\n//\t               │\n//\t               ▼\n//\t        WALStaging goroutine\n//\t               │\n//\t               ▼\n//\t        checkpoints/cluster/host/current.wal  (append-only, binary)\n//\n//\tPeriodic checkpoint (Checkpointing goroutine):\n//\t  1. Write <timestamp>.bin snapshot (column-oriented, from main tree)\n//\t  2. Signal WALStaging to truncate current.wal per host\n//\n//\tOn restart (FromCheckpoint):\n//\t  1. Load most recent <timestamp>.bin snapshot\n//\t  2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n//\n// # WAL Record Format\n//\n//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n//\n//\tpayload:\n//\t  [8B timestamp int64]\n//\t  [2B metric_name_len uint16][N metric name bytes]\n//\t  [1B selector_count uint8]\n//\t  per selector: [1B selector_len uint8][M selector bytes]\n//\t  [4B value float32 bits]\n//\n// # Binary Snapshot Format\n//\n//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n//\tLevel tree (recursive):\n//\t  [4B num_metrics uint32]\n//\t  per metric:\n//\t    [2B name_len uint16][N name bytes]\n//\t    [8B frequency int64][8B start int64]\n//\t    [4B num_values uint32][num_values × 4B float32]\n//\t  [4B num_children uint32]\n//\t  per child: [2B name_len uint16][N name bytes] + Level (recursive)\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/binary\"\n\t\"fmt\"\n\t\"hash/crc32\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"path\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Magic numbers for binary formats.\nconst (\n\twalFileMagic   = uint32(0xCC1DA701) // WAL file header magic\n\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n\tsnapFileMagic  = uint32(0xCC5B0001) // Binary snapshot magic\n)\n\n// WALMessages is the channel for sending metric writes to the WAL staging goroutine.\n// Buffered to allow burst writes without blocking the metric ingestion path.\nvar WALMessages = make(chan *WALMessage, 65536)\n\n// walRotateCh is used by the checkpoint goroutine to request WAL file rotation\n// (close, delete, reopen) after a binary snapshot has been written.\nvar walRotateCh = make(chan walRotateReq, 256)\n\n// WALMessage represents a single metric write to be appended to the WAL.\n// Cluster and Node are NOT stored in the WAL record (inferred from file path).\ntype WALMessage struct {\n\tMetricName string\n\tCluster    string\n\tNode       string\n\tSelector   []string\n\tValue      schema.Float\n\tTimestamp  int64\n}\n\n// walRotateReq requests WAL file rotation for a specific host directory.\n// The done channel is closed by the WAL goroutine when rotation is complete.\ntype walRotateReq struct {\n\thostDir string\n\tdone    chan struct{}\n}\n\n// walFileState holds an open WAL file handle and buffered writer for one host directory.\ntype walFileState struct {\n\tf *os.File\n\tw *bufio.Writer\n}\n\n// WALStaging starts a background goroutine that receives WALMessage items\n// and appends binary WAL records to per-host current.wal files.\n// Also handles WAL rotation requests from the checkpoint goroutine.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\twg.Go(func() {\n\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\t\treturn\n\t\t}\n\n\t\thostFiles := make(map[string]*walFileState)\n\n\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\n\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\tw := bufio.NewWriter(f)\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tws = &walFileState{f: f, w: w}\n\t\t\thostFiles[hostDir] = ws\n\t\t\treturn ws\n\t\t}\n\n\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tws := getOrOpenWAL(hostDir)\n\t\t\tif ws == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}\n\n\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.w.Flush()\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}\n\n\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\t// Flush all buffered writers after draining remaining messages.\n\t\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\n\t\t\t\t// Drain up to 256 more messages without blocking to batch writes.\n\t\t\t\tfor range 256 {\n\t\t\t\t\tselect {\n\t\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\t\tif !ok {\n\t\t\t\t\t\t\treturn\n\t\t\t\t\t\t}\n\t\t\t\t\t\tprocessMsg(msg)\n\t\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\t\tprocessRotate(req)\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tgoto flushed\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\tflushed:\n\t\t\t\t// Flush all buffered writers after processing the batch.\n\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFiles(hostDirs []string) {\n\tdones := make([]chan struct{}, len(hostDirs))\n\tfor i, dir := range hostDirs {\n\t\tdones[i] = make(chan struct{})\n\t\twalRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}\n\t}\n\tfor _, done := range dones {\n\t\t<-done\n\t}\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFilesAfterShutdown(hostDirs []string) {\n\tfor _, dir := range hostDirs {\n\t\twalPath := path.Join(dir, \"current.wal\")\n\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t}\n\t}\n}\n\n// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\nfunc buildWALPayload(msg *WALMessage) []byte {\n\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n\tfor _, s := range msg.Selector {\n\t\tsize += 1 + len(s)\n\t}\n\n\tbuf := make([]byte, 0, size)\n\n\t// Timestamp (8 bytes, little-endian int64)\n\tvar ts [8]byte\n\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n\tbuf = append(buf, ts[:]...)\n\n\t// Metric name (2-byte length prefix + bytes)\n\tvar mLen [2]byte\n\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n\tbuf = append(buf, mLen[:]...)\n\tbuf = append(buf, msg.MetricName...)\n\n\t// Selector count (1 byte)\n\tbuf = append(buf, byte(len(msg.Selector)))\n\n\t// Selectors (1-byte length prefix + bytes each)\n\tfor _, sel := range msg.Selector {\n\t\tbuf = append(buf, byte(len(sel)))\n\t\tbuf = append(buf, sel...)\n\t}\n\n\t// Value (4 bytes, float32 bit representation)\n\tvar val [4]byte\n\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n\tbuf = append(buf, val[:]...)\n\n\treturn buf\n}\n\n// writeWALRecord appends a binary WAL record to the writer.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(w io.Writer, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := w.Write(record)\n\treturn err\n}\n\n// readWALRecord reads one WAL record from the reader.\n// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n// A CRC mismatch indicates a truncated trailing record (expected on crash).\nfunc readWALRecord(r io.Reader) (*WALMessage, error) {\n\tvar magic uint32\n\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil, nil // Clean EOF\n\t\t}\n\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n\t}\n\n\tif magic != walRecordMagic {\n\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n\t}\n\n\tvar payloadLen uint32\n\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n\t}\n\n\tif payloadLen > 1<<20 { // 1 MB sanity limit\n\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n\t}\n\n\tpayload := make([]byte, payloadLen)\n\tif _, err := io.ReadFull(r, payload); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n\t}\n\n\tvar storedCRC uint32\n\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n\t}\n\n\tif crc32.ChecksumIEEE(payload) != storedCRC {\n\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n\t}\n\n\treturn parseWALPayload(payload)\n}\n\n// parseWALPayload decodes a binary payload into a WALMessage.\nfunc parseWALPayload(payload []byte) (*WALMessage, error) {\n\tif len(payload) < 8+2+1+4 {\n\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n\t}\n\n\toffset := 0\n\n\t// Timestamp (8 bytes)\n\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n\toffset += 8\n\n\t// Metric name (2-byte length + bytes)\n\tif offset+2 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n\t}\n\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n\toffset += 2\n\n\tif offset+mLen > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n\t}\n\tmetricName := string(payload[offset : offset+mLen])\n\toffset += mLen\n\n\t// Selector count (1 byte)\n\tif offset >= len(payload) {\n\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n\t}\n\tselCount := int(payload[offset])\n\toffset++\n\n\tselectors := make([]string, selCount)\n\tfor i := range selCount {\n\t\tif offset >= len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n\t\t}\n\t\tsLen := int(payload[offset])\n\t\toffset++\n\n\t\tif offset+sLen > len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n\t\t}\n\t\tselectors[i] = string(payload[offset : offset+sLen])\n\t\toffset += sLen\n\t}\n\n\t// Value (4 bytes, float32 bits)\n\tif offset+4 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n\t}\n\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n\tvalue := schema.Float(math.Float32frombits(bits))\n\n\treturn &WALMessage{\n\t\tMetricName: metricName,\n\t\tTimestamp:  ts,\n\t\tSelector:   selectors,\n\t\tValue:      value,\n\t}, nil\n}\n\n// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n// l is the host-level node. Corrupt or partial trailing records are silently skipped\n// (expected on crash). Records older than 'from' are skipped.\nfunc (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\t// Verify file header magic.\n\tvar fileMagic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil // Empty file, no data\n\t\t}\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n\t}\n\n\tif fileMagic != walFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n\t}\n\n\t// Cache level lookups to avoid repeated tree traversal.\n\tlvlCache := make(map[string]*Level)\n\n\tfor {\n\t\tmsg, err := readWALRecord(br)\n\t\tif err != nil {\n\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n\t\t\tbreak\n\t\t}\n\t\tif msg == nil {\n\t\t\tbreak // Clean EOF\n\t\t}\n\n\t\tif msg.Timestamp < from {\n\t\t\tcontinue // Older than retention window\n\t\t}\n\n\t\tminfo, ok := m.Metrics[msg.MetricName]\n\t\tif !ok {\n\t\t\tcontinue // Unknown metric (config may have changed)\n\t\t}\n\n\t\t// Cache key is the null-separated selector path.\n\t\tcacheKey := joinSelector(msg.Selector)\n\t\tlvl, ok := lvlCache[cacheKey]\n\t\tif !ok {\n\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n\t\t\tlvlCache[cacheKey] = lvl\n\t\t}\n\n\t\t// Write directly to the buffer, same as WriteToLevel but without the\n\t\t// global level lookup (we already have the right level).\n\t\tlvl.lock.Lock()\n\t\tb := lvl.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n\t\t\tlvl.metrics[minfo.offset] = b\n\t\t}\n\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n\t\tif writeErr == nil && b != nb {\n\t\t\tlvl.metrics[minfo.offset] = nb\n\t\t}\n\t\t// Ignore write errors for timestamps before buffer start (can happen when\n\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n\t\tlvl.lock.Unlock()\n\t}\n\n\treturn nil\n}\n\n// joinSelector builds a cache key from a selector slice using null bytes as separators.\nfunc joinSelector(sel []string) string {\n\tif len(sel) == 0 {\n\t\treturn \"\"\n\t}\n\tvar result strings.Builder\n\tresult.WriteString(sel[0])\n\tfor i := 1; i < len(sel); i++ {\n\t\tresult.WriteString(\"\\x00\" + sel[i])\n\t}\n\treturn result.String()\n}\n\n// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n// Returns the number of files written, the list of host directories that were\n// successfully checkpointed (for WAL rotation), and any errors.\nfunc (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n\t// Collect all cluster/host pairs.\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel    *Level\n\t\thostDir  string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\tvar successDirs []string\n\tvar successMu sync.Mutex\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\n\tfor range Keys.NumWorkers {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor wi := range work {\n\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n\t\t\t\tif err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\tsuccessMu.Lock()\n\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n\t\t\t\t\tsuccessMu.Unlock()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := range levels {\n\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel:    levels[i],\n\t\t\thostDir:  hostDir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n\t}\n\treturn int(n), successDirs, nil\n}\n\n// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\nfunc (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n\t}\n\n\t// Write to a temp file first, then rename (atomic on POSIX).\n\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n\n\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n\t}\n\n\tbw := bufio.NewWriter(f)\n\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n\t}\n\tif err := bw.Flush(); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn err\n\t}\n\tf.Close()\n\n\treturn os.Rename(tmpPath, finalPath)\n}\n\n// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\nfunc writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n\t\treturn err\n\t}\n\treturn writeBinaryLevel(w, cf)\n}\n\n// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\nfunc writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, metric := range cf.Metrics {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tfor _, v := range metric.Data {\n\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, child := range cf.Children {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := writeBinaryLevel(w, child); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// writeString16 writes a 2-byte length-prefixed string to w.\nfunc writeString16(w io.Writer, s string) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n\t\treturn err\n\t}\n\t_, err := io.WriteString(w, s)\n\treturn err\n}\n\n// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n// The retention check (from) is applied to the file's 'to' timestamp.\nfunc (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\tvar magic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n\t}\n\tif magic != snapFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n\t}\n\n\tvar fileFrom, fileTo int64\n\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n\t}\n\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n\t}\n\n\tif fileTo != 0 && fileTo < from {\n\t\treturn nil // File is older than retention window, skip it\n\t}\n\n\tcf, err := readBinaryLevel(br)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n\t}\n\tcf.From = fileFrom\n\tcf.To = fileTo\n\n\treturn l.loadFile(cf, m)\n}\n\n// readBinaryLevel recursively reads a level from the binary snapshot format.\nfunc readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n\tcf := &CheckpointFile{\n\t\tMetrics:  make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tvar numMetrics uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n\t}\n\n\tfor range numMetrics {\n\t\tname, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n\t\t}\n\n\t\tvar freq, start int64\n\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n\t\t}\n\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n\t\t}\n\n\t\tvar numValues uint32\n\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n\t\t}\n\n\t\tdata := make([]schema.Float, numValues)\n\t\tfor i := range numValues {\n\t\t\tvar bits uint32\n\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n\t\t\t}\n\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n\t\t}\n\n\t\tcf.Metrics[name] = &CheckpointMetrics{\n\t\t\tFrequency: freq,\n\t\t\tStart:     start,\n\t\t\tData:      data,\n\t\t}\n\t}\n\n\tvar numChildren uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_children: %w\", err)\n\t}\n\n\tfor range numChildren {\n\t\tchildName, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child name: %w\", err)\n\t\t}\n\n\t\tchild, err := readBinaryLevel(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child %s: %w\", childName, err)\n\t\t}\n\t\tcf.Children[childName] = child\n\t}\n\n\treturn cf, nil\n}\n\n// readString16 reads a 2-byte length-prefixed string from r.\nfunc readString16(r io.Reader) (string, error) {\n\tvar sLen uint16\n\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {\n\t\treturn \"\", err\n\t}\n\tbuf := make([]byte, sLen)\n\tif _, err := io.ReadFull(r, buf); err != nil {\n\t\treturn \"\", err\n\t}\n\treturn string(buf), nil\n}\n","structuredPatch":[{"oldStart":61,"oldLines":6,"newStart":61,"newLines":7,"lines":["   \"encoding/binary\"","   \"fmt\"","   \"hash/crc32\"","+  \"hash/fnv\"","   \"io\"","   \"math\"","   \"os\""]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"0b6218a5-96c5-4d0c-b0c6-8461ff1f8ad3","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n//\n// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n// per host, eliminating the extra memory overhead of the AvroStore and providing\n// truly continuous (per-write) crash safety.\n//\n// # Architecture\n//\n//\tMetric write (DecodeLine)\n//\t      │\n//\t      ├─► WriteToLevel()    → main MemoryStore (unchanged)\n//\t      │\n//\t      └─► WALMessages channel\n//\t               │\n//\t               ▼\n//\t        WALStaging goroutine\n//\t               │\n//\t               ▼\n//\t        checkpoints/cluster/host/current.wal  (append-only, binary)\n//\n//\tPeriodic checkpoint (Checkpointing goroutine):\n//\t  1. Write <timestamp>.bin snapshot (column-oriented, from main tree)\n//\t  2. Signal WALStaging to truncate current.wal per host\n//\n//\tOn restart (FromCheckpoint):\n//\t  1. Load most recent <timestamp>.bin snapshot\n//\t  2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n//\n// # WAL Record Format\n//\n//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n//\n//\tpayload:\n//\t  [8B timestamp int64]\n//\t  [2B metric_name_len uint16][N metric name bytes]\n//\t  [1B selector_count uint8]\n//\t  per selector: [1B selector_len uint8][M selector bytes]\n//\t  [4B value float32 bits]\n//\n// # Binary Snapshot Format\n//\n//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n//\tLevel tree (recursive):\n//\t  [4B num_metrics uint32]\n//\t  per metric:\n//\t    [2B name_len uint16][N name bytes]\n//\t    [8B frequency int64][8B start int64]\n//\t    [4B num_values uint32][num_values × 4B float32]\n//\t  [4B num_children uint32]\n//\t  per child: [2B name_len uint16][N name bytes] + Level (recursive)\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/binary\"\n\t\"fmt\"\n\t\"hash/crc32\"\n\t\"hash/fnv\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"path\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Magic numbers for binary formats.\nconst (\n\twalFileMagic   = uint32(0xCC1DA701) // WAL file header magic\n\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n\tsnapFileMagic  = uint32(0xCC5B0001) // Binary snapshot magic\n)\n\n// WALMessages is the channel for sending metric writes to the WAL staging goroutine.\n// Buffered to allow burst writes without blocking the metric ingestion path.\nvar WALMessages = make(chan *WALMessage, 65536)\n\n// walRotateCh is used by the checkpoint goroutine to request WAL file rotation\n// (close, delete, reopen) after a binary snapshot has been written.\nvar walRotateCh = make(chan walRotateReq, 256)\n\n// WALMessage represents a single metric write to be appended to the WAL.\n// Cluster and Node are NOT stored in the WAL record (inferred from file path).\ntype WALMessage struct {\n\tMetricName string\n\tCluster    string\n\tNode       string\n\tSelector   []string\n\tValue      schema.Float\n\tTimestamp  int64\n}\n\n// walRotateReq requests WAL file rotation for a specific host directory.\n// The done channel is closed by the WAL goroutine when rotation is complete.\ntype walRotateReq struct {\n\thostDir string\n\tdone    chan struct{}\n}\n\n// walFileState holds an open WAL file handle and buffered writer for one host directory.\ntype walFileState struct {\n\tf *os.File\n\tw *bufio.Writer\n}\n\n// WALStaging starts a background goroutine that receives WALMessage items\n// and appends binary WAL records to per-host current.wal files.\n// Also handles WAL rotation requests from the checkpoint goroutine.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\twg.Go(func() {\n\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\t\treturn\n\t\t}\n\n\t\thostFiles := make(map[string]*walFileState)\n\n\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\n\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\tw := bufio.NewWriter(f)\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tws = &walFileState{f: f, w: w}\n\t\t\thostFiles[hostDir] = ws\n\t\t\treturn ws\n\t\t}\n\n\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tws := getOrOpenWAL(hostDir)\n\t\t\tif ws == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}\n\n\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.w.Flush()\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}\n\n\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\t// Flush all buffered writers after draining remaining messages.\n\t\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\n\t\t\t\t// Drain up to 256 more messages without blocking to batch writes.\n\t\t\t\tfor range 256 {\n\t\t\t\t\tselect {\n\t\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\t\tif !ok {\n\t\t\t\t\t\t\treturn\n\t\t\t\t\t\t}\n\t\t\t\t\t\tprocessMsg(msg)\n\t\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\t\tprocessRotate(req)\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tgoto flushed\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\tflushed:\n\t\t\t\t// Flush all buffered writers after processing the batch.\n\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFiles(hostDirs []string) {\n\tdones := make([]chan struct{}, len(hostDirs))\n\tfor i, dir := range hostDirs {\n\t\tdones[i] = make(chan struct{})\n\t\twalRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}\n\t}\n\tfor _, done := range dones {\n\t\t<-done\n\t}\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFilesAfterShutdown(hostDirs []string) {\n\tfor _, dir := range hostDirs {\n\t\twalPath := path.Join(dir, \"current.wal\")\n\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t}\n\t}\n}\n\n// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\nfunc buildWALPayload(msg *WALMessage) []byte {\n\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n\tfor _, s := range msg.Selector {\n\t\tsize += 1 + len(s)\n\t}\n\n\tbuf := make([]byte, 0, size)\n\n\t// Timestamp (8 bytes, little-endian int64)\n\tvar ts [8]byte\n\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n\tbuf = append(buf, ts[:]...)\n\n\t// Metric name (2-byte length prefix + bytes)\n\tvar mLen [2]byte\n\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n\tbuf = append(buf, mLen[:]...)\n\tbuf = append(buf, msg.MetricName...)\n\n\t// Selector count (1 byte)\n\tbuf = append(buf, byte(len(msg.Selector)))\n\n\t// Selectors (1-byte length prefix + bytes each)\n\tfor _, sel := range msg.Selector {\n\t\tbuf = append(buf, byte(len(sel)))\n\t\tbuf = append(buf, sel...)\n\t}\n\n\t// Value (4 bytes, float32 bit representation)\n\tvar val [4]byte\n\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n\tbuf = append(buf, val[:]...)\n\n\treturn buf\n}\n\n// writeWALRecord appends a binary WAL record to the writer.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(w io.Writer, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := w.Write(record)\n\treturn err\n}\n\n// readWALRecord reads one WAL record from the reader.\n// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n// A CRC mismatch indicates a truncated trailing record (expected on crash).\nfunc readWALRecord(r io.Reader) (*WALMessage, error) {\n\tvar magic uint32\n\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil, nil // Clean EOF\n\t\t}\n\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n\t}\n\n\tif magic != walRecordMagic {\n\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n\t}\n\n\tvar payloadLen uint32\n\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n\t}\n\n\tif payloadLen > 1<<20 { // 1 MB sanity limit\n\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n\t}\n\n\tpayload := make([]byte, payloadLen)\n\tif _, err := io.ReadFull(r, payload); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n\t}\n\n\tvar storedCRC uint32\n\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n\t}\n\n\tif crc32.ChecksumIEEE(payload) != storedCRC {\n\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n\t}\n\n\treturn parseWALPayload(payload)\n}\n\n// parseWALPayload decodes a binary payload into a WALMessage.\nfunc parseWALPayload(payload []byte) (*WALMessage, error) {\n\tif len(payload) < 8+2+1+4 {\n\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n\t}\n\n\toffset := 0\n\n\t// Timestamp (8 bytes)\n\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n\toffset += 8\n\n\t// Metric name (2-byte length + bytes)\n\tif offset+2 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n\t}\n\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n\toffset += 2\n\n\tif offset+mLen > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n\t}\n\tmetricName := string(payload[offset : offset+mLen])\n\toffset += mLen\n\n\t// Selector count (1 byte)\n\tif offset >= len(payload) {\n\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n\t}\n\tselCount := int(payload[offset])\n\toffset++\n\n\tselectors := make([]string, selCount)\n\tfor i := range selCount {\n\t\tif offset >= len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n\t\t}\n\t\tsLen := int(payload[offset])\n\t\toffset++\n\n\t\tif offset+sLen > len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n\t\t}\n\t\tselectors[i] = string(payload[offset : offset+sLen])\n\t\toffset += sLen\n\t}\n\n\t// Value (4 bytes, float32 bits)\n\tif offset+4 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n\t}\n\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n\tvalue := schema.Float(math.Float32frombits(bits))\n\n\treturn &WALMessage{\n\t\tMetricName: metricName,\n\t\tTimestamp:  ts,\n\t\tSelector:   selectors,\n\t\tValue:      value,\n\t}, nil\n}\n\n// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n// l is the host-level node. Corrupt or partial trailing records are silently skipped\n// (expected on crash). Records older than 'from' are skipped.\nfunc (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\t// Verify file header magic.\n\tvar fileMagic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil // Empty file, no data\n\t\t}\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n\t}\n\n\tif fileMagic != walFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n\t}\n\n\t// Cache level lookups to avoid repeated tree traversal.\n\tlvlCache := make(map[string]*Level)\n\n\tfor {\n\t\tmsg, err := readWALRecord(br)\n\t\tif err != nil {\n\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n\t\t\tbreak\n\t\t}\n\t\tif msg == nil {\n\t\t\tbreak // Clean EOF\n\t\t}\n\n\t\tif msg.Timestamp < from {\n\t\t\tcontinue // Older than retention window\n\t\t}\n\n\t\tminfo, ok := m.Metrics[msg.MetricName]\n\t\tif !ok {\n\t\t\tcontinue // Unknown metric (config may have changed)\n\t\t}\n\n\t\t// Cache key is the null-separated selector path.\n\t\tcacheKey := joinSelector(msg.Selector)\n\t\tlvl, ok := lvlCache[cacheKey]\n\t\tif !ok {\n\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n\t\t\tlvlCache[cacheKey] = lvl\n\t\t}\n\n\t\t// Write directly to the buffer, same as WriteToLevel but without the\n\t\t// global level lookup (we already have the right level).\n\t\tlvl.lock.Lock()\n\t\tb := lvl.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n\t\t\tlvl.metrics[minfo.offset] = b\n\t\t}\n\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n\t\tif writeErr == nil && b != nb {\n\t\t\tlvl.metrics[minfo.offset] = nb\n\t\t}\n\t\t// Ignore write errors for timestamps before buffer start (can happen when\n\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n\t\tlvl.lock.Unlock()\n\t}\n\n\treturn nil\n}\n\n// joinSelector builds a cache key from a selector slice using null bytes as separators.\nfunc joinSelector(sel []string) string {\n\tif len(sel) == 0 {\n\t\treturn \"\"\n\t}\n\tvar result strings.Builder\n\tresult.WriteString(sel[0])\n\tfor i := 1; i < len(sel); i++ {\n\t\tresult.WriteString(\"\\x00\" + sel[i])\n\t}\n\treturn result.String()\n}\n\n// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n// Returns the number of files written, the list of host directories that were\n// successfully checkpointed (for WAL rotation), and any errors.\nfunc (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n\t// Collect all cluster/host pairs.\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel    *Level\n\t\thostDir  string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\tvar successDirs []string\n\tvar successMu sync.Mutex\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\n\tfor range Keys.NumWorkers {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor wi := range work {\n\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n\t\t\t\tif err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\tsuccessMu.Lock()\n\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n\t\t\t\t\tsuccessMu.Unlock()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := range levels {\n\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel:    levels[i],\n\t\t\thostDir:  hostDir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n\t}\n\treturn int(n), successDirs, nil\n}\n\n// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\nfunc (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n\t}\n\n\t// Write to a temp file first, then rename (atomic on POSIX).\n\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n\n\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n\t}\n\n\tbw := bufio.NewWriter(f)\n\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n\t}\n\tif err := bw.Flush(); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn err\n\t}\n\tf.Close()\n\n\treturn os.Rename(tmpPath, finalPath)\n}\n\n// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\nfunc writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n\t\treturn err\n\t}\n\treturn writeBinaryLevel(w, cf)\n}\n\n// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\nfunc writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, metric := range cf.Metrics {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tfor _, v := range metric.Data {\n\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, child := range cf.Children {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := writeBinaryLevel(w, child); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// writeString16 writes a 2-byte length-prefixed string to w.\nfunc writeString16(w io.Writer, s string) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n\t\treturn err\n\t}\n\t_, err := io.WriteString(w, s)\n\treturn err\n}\n\n// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n// The retention check (from) is applied to the file's 'to' timestamp.\nfunc (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\tvar magic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n\t}\n\tif magic != snapFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n\t}\n\n\tvar fileFrom, fileTo int64\n\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n\t}\n\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n\t}\n\n\tif fileTo != 0 && fileTo < from {\n\t\treturn nil // File is older than retention window, skip it\n\t}\n\n\tcf, err := readBinaryLevel(br)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n\t}\n\tcf.From = fileFrom\n\tcf.To = fileTo\n\n\treturn l.loadFile(cf, m)\n}\n\n// readBinaryLevel recursively reads a level from the binary snapshot format.\nfunc readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n\tcf := &CheckpointFile{\n\t\tMetrics:  make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tvar numMetrics uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n\t}\n\n\tfor range numMetrics {\n\t\tname, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n\t\t}\n\n\t\tvar freq, start int64\n\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n\t\t}\n\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n\t\t}\n\n\t\tvar numValues uint32\n\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n\t\t}\n\n\t\tdata := make([]schema.Float, numValues)\n\t\tfor i := range numValues {\n\t\t\tvar bits uint32\n\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n\t\t\t}\n\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n\t\t}\n\n\t\tcf.Metrics[name] = &CheckpointMetrics{\n\t\t\tFrequency: freq,\n\t\t\tStart:     start,\n\t\t\tData:      data,\n\t\t}\n\t}\n\n\tvar numChildren uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_children: %w\", err)\n\t}\n\n\tfor range numChildren {\n\t\tchildName, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child name: %w\", err)\n\t\t}\n\n\t\tchild, err := readBinaryLevel(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child %s: %w\", childName, err)\n\t\t}\n\t\tcf.Children[childName] = child\n\t}\n\n\treturn cf, nil\n}\n\n// readString16 reads a 2-byte length-prefixed string from r.\nfunc readString16(r io.Reader) (string, error) {\n\tvar sLen uint16\n\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {\n\t\treturn \"\", err\n\t}\n\tbuf := make([]byte, sLen)\n\tif _, err := io.ReadFull(r, buf); err != nil {\n\t\treturn \"\", err\n\t}\n\treturn string(buf), nil\n}\n","structuredPatch":[{"oldStart":81,"oldLines":14,"newStart":81,"newLines":16,"lines":["   snapFileMagic  = uint32(0xCC5B0001) // Binary snapshot magic"," )"," ","-// WALMessages is the channel for sending metric writes to the WAL staging goroutine.","-// Buffered to allow burst writes without blocking the metric ingestion path.","-var WALMessages = make(chan *WALMessage, 65536)","+// walShardChs holds per-shard channels for WAL messages.","+// Initialized by WALStaging; nil when WAL is not active.","+var walShardChs []chan *WALMessage"," ","-// walRotateCh is used by the checkpoint goroutine to request WAL file rotation","-// (close, delete, reopen) after a binary snapshot has been written.","-var walRotateCh = make(chan walRotateReq, 256)","+// walShardRotateChs holds per-shard channels for WAL rotation requests.","+var walShardRotateChs []chan walRotateReq"," ","+// walNumShards stores the number of shards (set during WALStaging init).","+var walNumShards int","+"," // WALMessage represents a single metric write to be appended to the WAL."," // Cluster and Node are NOT stored in the WAL record (inferred from file path)."," type WALMessage struct {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"69377157-45d8-4c04-b32f-f1ddb534194e","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"737d5132-6e8a-4223-9217-3aff0eabc3cf","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01UkiNmp2ojYLjXiiABq4CBe","type":"message","role":"assistant","content":[{"type":"text","text":"Now replace the `WALStaging` function with the sharded version:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":605,"cache_read_input_tokens":49299,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":605},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ9zghVNv1GdSuBA5fT7i","type":"assistant","uuid":"42bedadd-e697-4576-b1a1-7f7472f588b7","timestamp":"2026-03-18T05:29:54.980Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"42bedadd-e697-4576-b1a1-7f7472f588b7","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01UkiNmp2ojYLjXiiABq4CBe","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KuNHaxhouA5V546M6CKh2e","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","old_string":"// WALStaging starts a background goroutine that receives WALMessage items\n// and appends binary WAL records to per-host current.wal files.\n// Also handles WAL rotation requests from the checkpoint goroutine.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\twg.Go(func() {\n\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\t\treturn\n\t\t}\n\n\t\thostFiles := make(map[string]*walFileState)\n\n\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\n\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\tw := bufio.NewWriter(f)\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tws = &walFileState{f: f, w: w}\n\t\t\thostFiles[hostDir] = ws\n\t\t\treturn ws\n\t\t}\n\n\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tws := getOrOpenWAL(hostDir)\n\t\t\tif ws == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}\n\n\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.w.Flush()\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}\n\n\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\t// Flush all buffered writers after draining remaining messages.\n\t\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\n\t\t\t\t// Drain up to 256 more messages without blocking to batch writes.\n\t\t\t\tfor range 256 {\n\t\t\t\t\tselect {\n\t\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\t\tif !ok {\n\t\t\t\t\t\t\treturn\n\t\t\t\t\t\t}\n\t\t\t\t\t\tprocessMsg(msg)\n\t\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\t\tprocessRotate(req)\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tgoto flushed\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\tflushed:\n\t\t\t\t// Flush all buffered writers after processing the batch.\n\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}\n\t})\n}","new_string":"// walShardIndex computes which shard a message belongs to based on cluster+node.\n// Uses FNV-1a hash for fast, well-distributed mapping.\nfunc walShardIndex(cluster, node string) int {\n\th := fnv.New32a()\n\th.Write([]byte(cluster))\n\th.Write([]byte{0})\n\th.Write([]byte(node))\n\treturn int(h.Sum32()) % walNumShards\n}\n\n// SendWALMessage routes a WAL message to the appropriate shard channel.\n// Returns false if the channel is full (message dropped).\nfunc SendWALMessage(msg *WALMessage) bool {\n\tif walShardChs == nil {\n\t\treturn false\n\t}\n\tshard := walShardIndex(msg.Cluster, msg.Node)\n\tselect {\n\tcase walShardChs[shard] <- msg:\n\t\treturn true\n\tdefault:\n\t\treturn false\n\t}\n}\n\n// WALStaging starts N sharded background goroutines that receive WALMessage items\n// and append binary WAL records to per-host current.wal files.\n// Each shard owns a subset of hosts (determined by hash of cluster+node),\n// parallelizing serialization and I/O while keeping per-host writes serial.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\treturn\n\t}\n\n\twalNumShards = max(Keys.NumWorkers, 1)\n\tchBufSize := max(65536/walNumShards, 1024)\n\n\twalShardChs = make([]chan *WALMessage, walNumShards)\n\twalShardRotateChs = make([]chan walRotateReq, walNumShards)\n\n\tfor i := range walNumShards {\n\t\twalShardChs[i] = make(chan *WALMessage, chBufSize)\n\t\twalShardRotateChs[i] = make(chan walRotateReq, 64)\n\t}\n\n\tfor i := range walNumShards {\n\t\tmsgCh := walShardChs[i]\n\t\trotateCh := walShardRotateChs[i]\n\n\t\twg.Go(func() {\n\t\t\thostFiles := make(map[string]*walFileState)\n\n\t\t\tdefer func() {\n\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t\tws.f.Close()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\n\t\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n\t\t\t\tws, ok := hostFiles[hostDir]\n\t\t\t\tif ok {\n\t\t\t\t\treturn ws\n\t\t\t\t}\n\n\t\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\n\t\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\n\t\t\t\tw := bufio.NewWriter(f)\n\n\t\t\t\t// Write file header magic if file is new (empty).\n\t\t\t\tinfo, err := f.Stat()\n\t\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\t\tvar hdr [4]byte\n\t\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\t\tf.Close()\n\t\t\t\t\t\treturn nil\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\tws = &walFileState{f: f, w: w}\n\t\t\t\thostFiles[hostDir] = ws\n\t\t\t\treturn ws\n\t\t\t}\n\n\t\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\t\tws := getOrOpenWAL(hostDir)\n\t\t\t\tif ws == nil {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tif err := writeWALRecordDirect(ws.w, msg); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tprocessRotate := func(req walRotateReq) {\n\t\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\t\tif ok && ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t\t}\n\t\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t\t}\n\t\t\t\tclose(req.done)\n\t\t\t}\n\n\t\t\tflushAll := func() {\n\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tdrain := func() {\n\t\t\t\tfor {\n\t\t\t\t\tselect {\n\t\t\t\t\tcase msg, ok := <-msgCh:\n\t\t\t\t\t\tif !ok {\n\t\t\t\t\t\t\treturn\n\t\t\t\t\t\t}\n\t\t\t\t\t\tprocessMsg(msg)\n\t\t\t\t\tcase req := <-rotateCh:\n\t\t\t\t\t\tprocessRotate(req)\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tflushAll()\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase <-ctx.Done():\n\t\t\t\t\tdrain()\n\t\t\t\t\treturn\n\t\t\t\tcase msg, ok := <-msgCh:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\n\t\t\t\t\t// Drain up to 256 more messages without blocking to batch writes.\n\t\t\t\t\tfor range 256 {\n\t\t\t\t\t\tselect {\n\t\t\t\t\t\tcase msg, ok := <-msgCh:\n\t\t\t\t\t\t\tif !ok {\n\t\t\t\t\t\t\t\treturn\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tprocessMsg(msg)\n\t\t\t\t\t\tcase req := <-rotateCh:\n\t\t\t\t\t\t\tprocessRotate(req)\n\t\t\t\t\t\tdefault:\n\t\t\t\t\t\t\tgoto flushed\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\tflushed:\n\t\t\t\t\tflushAll()\n\t\t\t\tcase req := <-rotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\t}\n\t\t\t}\n\t\t})\n\t}\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":605,"cache_read_input_tokens":49299,"output_tokens":3031,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":605,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ9zghVNv1GdSuBA5fT7i","type":"assistant","uuid":"204ce3a2-a499-4c2d-9ae9-1b3453c4603d","timestamp":"2026-03-18T05:30:26.596Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"parentUuid":"204ce3a2-a499-4c2d-9ae9-1b3453c4603d","isSidechain":false,"promptId":"53f7aeff-f280-4fa6-a195-55ff40087d7e","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KuNHaxhouA5V546M6CKh2e","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go has been updated successfully."}]},"uuid":"28929730-3cd1-4a1c-83da-2d5bd6de5ced","timestamp":"2026-03-18T05:30:26.619Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","oldString":"// WALStaging starts a background goroutine that receives WALMessage items\n// and appends binary WAL records to per-host current.wal files.\n// Also handles WAL rotation requests from the checkpoint goroutine.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\twg.Go(func() {\n\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\t\treturn\n\t\t}\n\n\t\thostFiles := make(map[string]*walFileState)\n\n\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\n\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\tw := bufio.NewWriter(f)\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tws = &walFileState{f: f, w: w}\n\t\t\thostFiles[hostDir] = ws\n\t\t\treturn ws\n\t\t}\n\n\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tws := getOrOpenWAL(hostDir)\n\t\t\tif ws == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}\n\n\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.w.Flush()\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}\n\n\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\t// Flush all buffered writers after draining remaining messages.\n\t\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\n\t\t\t\t// Drain up to 256 more messages without blocking to batch writes.\n\t\t\t\tfor range 256 {\n\t\t\t\t\tselect {\n\t\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\t\tif !ok {\n\t\t\t\t\t\t\treturn\n\t\t\t\t\t\t}\n\t\t\t\t\t\tprocessMsg(msg)\n\t\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\t\tprocessRotate(req)\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tgoto flushed\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\tflushed:\n\t\t\t\t// Flush all buffered writers after processing the batch.\n\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}\n\t})\n}","newString":"// walShardIndex computes which shard a message belongs to based on cluster+node.\n// Uses FNV-1a hash for fast, well-distributed mapping.\nfunc walShardIndex(cluster, node string) int {\n\th := fnv.New32a()\n\th.Write([]byte(cluster))\n\th.Write([]byte{0})\n\th.Write([]byte(node))\n\treturn int(h.Sum32()) % walNumShards\n}\n\n// SendWALMessage routes a WAL message to the appropriate shard channel.\n// Returns false if the channel is full (message dropped).\nfunc SendWALMessage(msg *WALMessage) bool {\n\tif walShardChs == nil {\n\t\treturn false\n\t}\n\tshard := walShardIndex(msg.Cluster, msg.Node)\n\tselect {\n\tcase walShardChs[shard] <- msg:\n\t\treturn true\n\tdefault:\n\t\treturn false\n\t}\n}\n\n// WALStaging starts N sharded background goroutines that receive WALMessage items\n// and append binary WAL records to per-host current.wal files.\n// Each shard owns a subset of hosts (determined by hash of cluster+node),\n// parallelizing serialization and I/O while keeping per-host writes serial.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\treturn\n\t}\n\n\twalNumShards = max(Keys.NumWorkers, 1)\n\tchBufSize := max(65536/walNumShards, 1024)\n\n\twalShardChs = make([]chan *WALMessage, walNumShards)\n\twalShardRotateChs = make([]chan walRotateReq, walNumShards)\n\n\tfor i := range walNumShards {\n\t\twalShardChs[i] = make(chan *WALMessage, chBufSize)\n\t\twalShardRotateChs[i] = make(chan walRotateReq, 64)\n\t}\n\n\tfor i := range walNumShards {\n\t\tmsgCh := walShardChs[i]\n\t\trotateCh := walShardRotateChs[i]\n\n\t\twg.Go(func() {\n\t\t\thostFiles := make(map[string]*walFileState)\n\n\t\t\tdefer func() {\n\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t\tws.f.Close()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\n\t\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n\t\t\t\tws, ok := hostFiles[hostDir]\n\t\t\t\tif ok {\n\t\t\t\t\treturn ws\n\t\t\t\t}\n\n\t\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\n\t\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\n\t\t\t\tw := bufio.NewWriter(f)\n\n\t\t\t\t// Write file header magic if file is new (empty).\n\t\t\t\tinfo, err := f.Stat()\n\t\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\t\tvar hdr [4]byte\n\t\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\t\tf.Close()\n\t\t\t\t\t\treturn nil\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\tws = &walFileState{f: f, w: w}\n\t\t\t\thostFiles[hostDir] = ws\n\t\t\t\treturn ws\n\t\t\t}\n\n\t\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\t\tws := getOrOpenWAL(hostDir)\n\t\t\t\tif ws == nil {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tif err := writeWALRecordDirect(ws.w, msg); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tprocessRotate := func(req walRotateReq) {\n\t\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\t\tif ok && ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t\t}\n\t\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t\t}\n\t\t\t\tclose(req.done)\n\t\t\t}\n\n\t\t\tflushAll := func() {\n\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tdrain := func() {\n\t\t\t\tfor {\n\t\t\t\t\tselect {\n\t\t\t\t\tcase msg, ok := <-msgCh:\n\t\t\t\t\t\tif !ok {\n\t\t\t\t\t\t\treturn\n\t\t\t\t\t\t}\n\t\t\t\t\t\tprocessMsg(msg)\n\t\t\t\t\tcase req := <-rotateCh:\n\t\t\t\t\t\tprocessRotate(req)\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tflushAll()\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase <-ctx.Done():\n\t\t\t\t\tdrain()\n\t\t\t\t\treturn\n\t\t\t\tcase msg, ok := <-msgCh:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\n\t\t\t\t\t// Drain up to 256 more messages without blocking to batch writes.\n\t\t\t\t\tfor range 256 {\n\t\t\t\t\t\tselect {\n\t\t\t\t\t\tcase msg, ok := <-msgCh:\n\t\t\t\t\t\t\tif !ok {\n\t\t\t\t\t\t\t\treturn\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tprocessMsg(msg)\n\t\t\t\t\t\tcase req := <-rotateCh:\n\t\t\t\t\t\t\tprocessRotate(req)\n\t\t\t\t\t\tdefault:\n\t\t\t\t\t\t\tgoto flushed\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\tflushed:\n\t\t\t\t\tflushAll()\n\t\t\t\tcase req := <-rotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\t}\n\t\t\t}\n\t\t})\n\t}\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n//\n// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n// per host, eliminating the extra memory overhead of the AvroStore and providing\n// truly continuous (per-write) crash safety.\n//\n// # Architecture\n//\n//\tMetric write (DecodeLine)\n//\t      │\n//\t      ├─► WriteToLevel()    → main MemoryStore (unchanged)\n//\t      │\n//\t      └─► WALMessages channel\n//\t               │\n//\t               ▼\n//\t        WALStaging goroutine\n//\t               │\n//\t               ▼\n//\t        checkpoints/cluster/host/current.wal  (append-only, binary)\n//\n//\tPeriodic checkpoint (Checkpointing goroutine):\n//\t  1. Write <timestamp>.bin snapshot (column-oriented, from main tree)\n//\t  2. Signal WALStaging to truncate current.wal per host\n//\n//\tOn restart (FromCheckpoint):\n//\t  1. Load most recent <timestamp>.bin snapshot\n//\t  2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n//\n// # WAL Record Format\n//\n//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n//\n//\tpayload:\n//\t  [8B timestamp int64]\n//\t  [2B metric_name_len uint16][N metric name bytes]\n//\t  [1B selector_count uint8]\n//\t  per selector: [1B selector_len uint8][M selector bytes]\n//\t  [4B value float32 bits]\n//\n// # Binary Snapshot Format\n//\n//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n//\tLevel tree (recursive):\n//\t  [4B num_metrics uint32]\n//\t  per metric:\n//\t    [2B name_len uint16][N name bytes]\n//\t    [8B frequency int64][8B start int64]\n//\t    [4B num_values uint32][num_values × 4B float32]\n//\t  [4B num_children uint32]\n//\t  per child: [2B name_len uint16][N name bytes] + Level (recursive)\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/binary\"\n\t\"fmt\"\n\t\"hash/crc32\"\n\t\"hash/fnv\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"path\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Magic numbers for binary formats.\nconst (\n\twalFileMagic   = uint32(0xCC1DA701) // WAL file header magic\n\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n\tsnapFileMagic  = uint32(0xCC5B0001) // Binary snapshot magic\n)\n\n// walShardChs holds per-shard channels for WAL messages.\n// Initialized by WALStaging; nil when WAL is not active.\nvar walShardChs []chan *WALMessage\n\n// walShardRotateChs holds per-shard channels for WAL rotation requests.\nvar walShardRotateChs []chan walRotateReq\n\n// walNumShards stores the number of shards (set during WALStaging init).\nvar walNumShards int\n\n// WALMessage represents a single metric write to be appended to the WAL.\n// Cluster and Node are NOT stored in the WAL record (inferred from file path).\ntype WALMessage struct {\n\tMetricName string\n\tCluster    string\n\tNode       string\n\tSelector   []string\n\tValue      schema.Float\n\tTimestamp  int64\n}\n\n// walRotateReq requests WAL file rotation for a specific host directory.\n// The done channel is closed by the WAL goroutine when rotation is complete.\ntype walRotateReq struct {\n\thostDir string\n\tdone    chan struct{}\n}\n\n// walFileState holds an open WAL file handle and buffered writer for one host directory.\ntype walFileState struct {\n\tf *os.File\n\tw *bufio.Writer\n}\n\n// WALStaging starts a background goroutine that receives WALMessage items\n// and appends binary WAL records to per-host current.wal files.\n// Also handles WAL rotation requests from the checkpoint goroutine.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\twg.Go(func() {\n\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\t\treturn\n\t\t}\n\n\t\thostFiles := make(map[string]*walFileState)\n\n\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\n\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\tw := bufio.NewWriter(f)\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tws = &walFileState{f: f, w: w}\n\t\t\thostFiles[hostDir] = ws\n\t\t\treturn ws\n\t\t}\n\n\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tws := getOrOpenWAL(hostDir)\n\t\t\tif ws == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}\n\n\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.w.Flush()\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}\n\n\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\t// Flush all buffered writers after draining remaining messages.\n\t\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\n\t\t\t\t// Drain up to 256 more messages without blocking to batch writes.\n\t\t\t\tfor range 256 {\n\t\t\t\t\tselect {\n\t\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\t\tif !ok {\n\t\t\t\t\t\t\treturn\n\t\t\t\t\t\t}\n\t\t\t\t\t\tprocessMsg(msg)\n\t\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\t\tprocessRotate(req)\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tgoto flushed\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\tflushed:\n\t\t\t\t// Flush all buffered writers after processing the batch.\n\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFiles(hostDirs []string) {\n\tdones := make([]chan struct{}, len(hostDirs))\n\tfor i, dir := range hostDirs {\n\t\tdones[i] = make(chan struct{})\n\t\twalRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}\n\t}\n\tfor _, done := range dones {\n\t\t<-done\n\t}\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFilesAfterShutdown(hostDirs []string) {\n\tfor _, dir := range hostDirs {\n\t\twalPath := path.Join(dir, \"current.wal\")\n\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t}\n\t}\n}\n\n// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\nfunc buildWALPayload(msg *WALMessage) []byte {\n\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n\tfor _, s := range msg.Selector {\n\t\tsize += 1 + len(s)\n\t}\n\n\tbuf := make([]byte, 0, size)\n\n\t// Timestamp (8 bytes, little-endian int64)\n\tvar ts [8]byte\n\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n\tbuf = append(buf, ts[:]...)\n\n\t// Metric name (2-byte length prefix + bytes)\n\tvar mLen [2]byte\n\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n\tbuf = append(buf, mLen[:]...)\n\tbuf = append(buf, msg.MetricName...)\n\n\t// Selector count (1 byte)\n\tbuf = append(buf, byte(len(msg.Selector)))\n\n\t// Selectors (1-byte length prefix + bytes each)\n\tfor _, sel := range msg.Selector {\n\t\tbuf = append(buf, byte(len(sel)))\n\t\tbuf = append(buf, sel...)\n\t}\n\n\t// Value (4 bytes, float32 bit representation)\n\tvar val [4]byte\n\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n\tbuf = append(buf, val[:]...)\n\n\treturn buf\n}\n\n// writeWALRecord appends a binary WAL record to the writer.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(w io.Writer, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := w.Write(record)\n\treturn err\n}\n\n// readWALRecord reads one WAL record from the reader.\n// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n// A CRC mismatch indicates a truncated trailing record (expected on crash).\nfunc readWALRecord(r io.Reader) (*WALMessage, error) {\n\tvar magic uint32\n\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil, nil // Clean EOF\n\t\t}\n\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n\t}\n\n\tif magic != walRecordMagic {\n\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n\t}\n\n\tvar payloadLen uint32\n\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n\t}\n\n\tif payloadLen > 1<<20 { // 1 MB sanity limit\n\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n\t}\n\n\tpayload := make([]byte, payloadLen)\n\tif _, err := io.ReadFull(r, payload); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n\t}\n\n\tvar storedCRC uint32\n\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n\t}\n\n\tif crc32.ChecksumIEEE(payload) != storedCRC {\n\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n\t}\n\n\treturn parseWALPayload(payload)\n}\n\n// parseWALPayload decodes a binary payload into a WALMessage.\nfunc parseWALPayload(payload []byte) (*WALMessage, error) {\n\tif len(payload) < 8+2+1+4 {\n\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n\t}\n\n\toffset := 0\n\n\t// Timestamp (8 bytes)\n\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n\toffset += 8\n\n\t// Metric name (2-byte length + bytes)\n\tif offset+2 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n\t}\n\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n\toffset += 2\n\n\tif offset+mLen > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n\t}\n\tmetricName := string(payload[offset : offset+mLen])\n\toffset += mLen\n\n\t// Selector count (1 byte)\n\tif offset >= len(payload) {\n\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n\t}\n\tselCount := int(payload[offset])\n\toffset++\n\n\tselectors := make([]string, selCount)\n\tfor i := range selCount {\n\t\tif offset >= len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n\t\t}\n\t\tsLen := int(payload[offset])\n\t\toffset++\n\n\t\tif offset+sLen > len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n\t\t}\n\t\tselectors[i] = string(payload[offset : offset+sLen])\n\t\toffset += sLen\n\t}\n\n\t// Value (4 bytes, float32 bits)\n\tif offset+4 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n\t}\n\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n\tvalue := schema.Float(math.Float32frombits(bits))\n\n\treturn &WALMessage{\n\t\tMetricName: metricName,\n\t\tTimestamp:  ts,\n\t\tSelector:   selectors,\n\t\tValue:      value,\n\t}, nil\n}\n\n// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n// l is the host-level node. Corrupt or partial trailing records are silently skipped\n// (expected on crash). Records older than 'from' are skipped.\nfunc (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\t// Verify file header magic.\n\tvar fileMagic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil // Empty file, no data\n\t\t}\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n\t}\n\n\tif fileMagic != walFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n\t}\n\n\t// Cache level lookups to avoid repeated tree traversal.\n\tlvlCache := make(map[string]*Level)\n\n\tfor {\n\t\tmsg, err := readWALRecord(br)\n\t\tif err != nil {\n\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n\t\t\tbreak\n\t\t}\n\t\tif msg == nil {\n\t\t\tbreak // Clean EOF\n\t\t}\n\n\t\tif msg.Timestamp < from {\n\t\t\tcontinue // Older than retention window\n\t\t}\n\n\t\tminfo, ok := m.Metrics[msg.MetricName]\n\t\tif !ok {\n\t\t\tcontinue // Unknown metric (config may have changed)\n\t\t}\n\n\t\t// Cache key is the null-separated selector path.\n\t\tcacheKey := joinSelector(msg.Selector)\n\t\tlvl, ok := lvlCache[cacheKey]\n\t\tif !ok {\n\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n\t\t\tlvlCache[cacheKey] = lvl\n\t\t}\n\n\t\t// Write directly to the buffer, same as WriteToLevel but without the\n\t\t// global level lookup (we already have the right level).\n\t\tlvl.lock.Lock()\n\t\tb := lvl.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n\t\t\tlvl.metrics[minfo.offset] = b\n\t\t}\n\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n\t\tif writeErr == nil && b != nb {\n\t\t\tlvl.metrics[minfo.offset] = nb\n\t\t}\n\t\t// Ignore write errors for timestamps before buffer start (can happen when\n\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n\t\tlvl.lock.Unlock()\n\t}\n\n\treturn nil\n}\n\n// joinSelector builds a cache key from a selector slice using null bytes as separators.\nfunc joinSelector(sel []string) string {\n\tif len(sel) == 0 {\n\t\treturn \"\"\n\t}\n\tvar result strings.Builder\n\tresult.WriteString(sel[0])\n\tfor i := 1; i < len(sel); i++ {\n\t\tresult.WriteString(\"\\x00\" + sel[i])\n\t}\n\treturn result.String()\n}\n\n// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n// Returns the number of files written, the list of host directories that were\n// successfully checkpointed (for WAL rotation), and any errors.\nfunc (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n\t// Collect all cluster/host pairs.\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel    *Level\n\t\thostDir  string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\tvar successDirs []string\n\tvar successMu sync.Mutex\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\n\tfor range Keys.NumWorkers {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor wi := range work {\n\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n\t\t\t\tif err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\tsuccessMu.Lock()\n\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n\t\t\t\t\tsuccessMu.Unlock()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := range levels {\n\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel:    levels[i],\n\t\t\thostDir:  hostDir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n\t}\n\treturn int(n), successDirs, nil\n}\n\n// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\nfunc (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n\t}\n\n\t// Write to a temp file first, then rename (atomic on POSIX).\n\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n\n\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n\t}\n\n\tbw := bufio.NewWriter(f)\n\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n\t}\n\tif err := bw.Flush(); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn err\n\t}\n\tf.Close()\n\n\treturn os.Rename(tmpPath, finalPath)\n}\n\n// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\nfunc writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n\t\treturn err\n\t}\n\treturn writeBinaryLevel(w, cf)\n}\n\n// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\nfunc writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, metric := range cf.Metrics {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tfor _, v := range metric.Data {\n\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, child := range cf.Children {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := writeBinaryLevel(w, child); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// writeString16 writes a 2-byte length-prefixed string to w.\nfunc writeString16(w io.Writer, s string) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n\t\treturn err\n\t}\n\t_, err := io.WriteString(w, s)\n\treturn err\n}\n\n// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n// The retention check (from) is applied to the file's 'to' timestamp.\nfunc (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\tvar magic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n\t}\n\tif magic != snapFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n\t}\n\n\tvar fileFrom, fileTo int64\n\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n\t}\n\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n\t}\n\n\tif fileTo != 0 && fileTo < from {\n\t\treturn nil // File is older than retention window, skip it\n\t}\n\n\tcf, err := readBinaryLevel(br)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n\t}\n\tcf.From = fileFrom\n\tcf.To = fileTo\n\n\treturn l.loadFile(cf, m)\n}\n\n// readBinaryLevel recursively reads a level from the binary snapshot format.\nfunc readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n\tcf := &CheckpointFile{\n\t\tMetrics:  make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tvar numMetrics uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n\t}\n\n\tfor range numMetrics {\n\t\tname, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n\t\t}\n\n\t\tvar freq, start int64\n\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n\t\t}\n\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n\t\t}\n\n\t\tvar numValues uint32\n\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n\t\t}\n\n\t\tdata := make([]schema.Float, numValues)\n\t\tfor i := range numValues {\n\t\t\tvar bits uint32\n\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n\t\t\t}\n\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n\t\t}\n\n\t\tcf.Metrics[name] = &CheckpointMetrics{\n\t\t\tFrequency: freq,\n\t\t\tStart:     start,\n\t\t\tData:      data,\n\t\t}\n\t}\n\n\tvar numChildren uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_children: %w\", err)\n\t}\n\n\tfor range numChildren {\n\t\tchildName, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child name: %w\", err)\n\t\t}\n\n\t\tchild, err := readBinaryLevel(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child %s: %w\", childName, err)\n\t\t}\n\t\tcf.Children[childName] = child\n\t}\n\n\treturn cf, nil\n}\n\n// readString16 reads a 2-byte length-prefixed string from r.\nfunc readString16(r io.Reader) (string, error) {\n\tvar sLen uint16\n\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {\n\t\treturn \"\", err\n\t}\n\tbuf := make([]byte, sLen)\n\tif _, err := io.ReadFull(r, buf); err != nil {\n\t\treturn \"\", err\n\t}\n\treturn string(buf), nil\n}\n","structuredPatch":[{"oldStart":115,"oldLines":147,"newStart":115,"newLines":187,"lines":["   w *bufio.Writer"," }"," ","-// WALStaging starts a background goroutine that receives WALMessage items","-// and appends binary WAL records to per-host current.wal files.","-// Also handles WAL rotation requests from the checkpoint goroutine.","+// walShardIndex computes which shard a message belongs to based on cluster+node.","+// Uses FNV-1a hash for fast, well-distributed mapping.","+func walShardIndex(cluster, node string) int {","+  h := fnv.New32a()","+  h.Write([]byte(cluster))","+  h.Write([]byte{0})","+  h.Write([]byte(node))","+  return int(h.Sum32()) % walNumShards","+}","+","+// SendWALMessage routes a WAL message to the appropriate shard channel.","+// Returns false if the channel is full (message dropped).","+func SendWALMessage(msg *WALMessage) bool {","+  if walShardChs == nil {","+    return false","+  }","+  shard := walShardIndex(msg.Cluster, msg.Node)","+  select {","+  case walShardChs[shard] <- msg:","+    return true","+  default:","+    return false","+  }","+}","+","+// WALStaging starts N sharded background goroutines that receive WALMessage items","+// and append binary WAL records to per-host current.wal files.","+// Each shard owns a subset of hosts (determined by hash of cluster+node),","+// parallelizing serialization and I/O while keeping per-host writes serial."," func WALStaging(wg *sync.WaitGroup, ctx context.Context) {","-  wg.Go(func() {","-    if Keys.Checkpoints.FileFormat == \"json\" {","-      return","-    }","+  if Keys.Checkpoints.FileFormat == \"json\" {","+    return","+  }"," ","-    hostFiles := make(map[string]*walFileState)","+  walNumShards = max(Keys.NumWorkers, 1)","+  chBufSize := max(65536/walNumShards, 1024)"," ","-    defer func() {","-      for _, ws := range hostFiles {","-        if ws.f != nil {","-          ws.w.Flush()","-          ws.f.Close()","-        }","-      }","-    }()","+  walShardChs = make([]chan *WALMessage, walNumShards)","+  walShardRotateChs = make([]chan walRotateReq, walNumShards)"," ","-    getOrOpenWAL := func(hostDir string) *walFileState {","-      ws, ok := hostFiles[hostDir]","-      if ok {","-        return ws","-      }","+  for i := range walNumShards {","+    walShardChs[i] = make(chan *WALMessage, chBufSize)","+    walShardRotateChs[i] = make(chan walRotateReq, 64)","+  }"," ","-      if err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {","-        cclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)","-        return nil","-      }","+  for i := range walNumShards {","+    msgCh := walShardChs[i]","+    rotateCh := walShardRotateChs[i]"," ","-      walPath := path.Join(hostDir, \"current.wal\")","-      f, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)","-      if err != nil {","-        cclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)","-        return nil","-      }","+    wg.Go(func() {","+      hostFiles := make(map[string]*walFileState)"," ","-      w := bufio.NewWriter(f)","+      defer func() {","+        for _, ws := range hostFiles {","+          if ws.f != nil {","+            ws.w.Flush()","+            ws.f.Close()","+          }","+        }","+      }()"," ","-      // Write file header magic if file is new (empty).","-      info, err := f.Stat()","-      if err == nil && info.Size() == 0 {","-        var hdr [4]byte","-        binary.LittleEndian.PutUint32(hdr[:], walFileMagic)","-        if _, err := w.Write(hdr[:]); err != nil {","-          cclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)","-          f.Close()","+      getOrOpenWAL := func(hostDir string) *walFileState {","+        ws, ok := hostFiles[hostDir]","+        if ok {","+          return ws","+        }","+","+        if err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {","+          cclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)","           return nil","         }","-      }"," ","-      ws = &walFileState{f: f, w: w}","-      hostFiles[hostDir] = ws","-      return ws","-    }","+        walPath := path.Join(hostDir, \"current.wal\")","+        f, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)","+        if err != nil {","+          cclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)","+          return nil","+        }"," ","-    processMsg := func(msg *WALMessage) {","-      hostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)","-      ws := getOrOpenWAL(hostDir)","-      if ws == nil {","-        return","+        w := bufio.NewWriter(f)","+","+        // Write file header magic if file is new (empty).","+        info, err := f.Stat()","+        if err == nil && info.Size() == 0 {","+          var hdr [4]byte","+          binary.LittleEndian.PutUint32(hdr[:], walFileMagic)","+          if _, err := w.Write(hdr[:]); err != nil {","+            cclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)","+            f.Close()","+            return nil","+          }","+        }","+","+        ws = &walFileState{f: f, w: w}","+        hostFiles[hostDir] = ws","+        return ws","       }","-      if err := writeWALRecord(ws.w, msg); err != nil {","-        cclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)","-      }","-    }"," ","-    processRotate := func(req walRotateReq) {","-      ws, ok := hostFiles[req.hostDir]","-      if ok && ws.f != nil {","-        ws.w.Flush()","-        ws.f.Close()","-        walPath := path.Join(req.hostDir, \"current.wal\")","-        if err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {","-          cclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)","+      processMsg := func(msg *WALMessage) {","+        hostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)","+        ws := getOrOpenWAL(hostDir)","+        if ws == nil {","+          return","         }","-        delete(hostFiles, req.hostDir)","+        if err := writeWALRecordDirect(ws.w, msg); err != nil {","+          cclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)","+        }","       }","-      close(req.done)","-    }"," ","-    drain := func() {","-      for {","-        select {","-        case msg, ok := <-WALMessages:","-          if !ok {","-            return","+      processRotate := func(req walRotateReq) {","+        ws, ok := hostFiles[req.hostDir]","+        if ok && ws.f != nil {","+          ws.w.Flush()","+          ws.f.Close()","+          walPath := path.Join(req.hostDir, \"current.wal\")","+          if err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {","+            cclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)","           }","-          processMsg(msg)","-        case req := <-walRotateCh:","-          processRotate(req)","-        default:","-          // Flush all buffered writers after draining remaining messages.","-          for _, ws := range hostFiles {","-            if ws.f != nil {","-              ws.w.Flush()","-            }","-          }","-          return","+          delete(hostFiles, req.hostDir)","         }","+        close(req.done)","       }","-    }"," ","-    for {","-      select {","-      case <-ctx.Done():","-        drain()","-        return","-      case msg, ok := <-WALMessages:","-        if !ok {","-          return","+      flushAll := func() {","+        for _, ws := range hostFiles {","+          if ws.f != nil {","+            ws.w.Flush()","+          }","         }","-        processMsg(msg)","+      }"," ","-        // Drain up to 256 more messages without blocking to batch writes.","-        for range 256 {","+      drain := func() {","+        for {","           select {","-          case msg, ok := <-WALMessages:","+          case msg, ok := <-msgCh:","             if !ok {","               return","             }","             processMsg(msg)","-          case req := <-walRotateCh:","+          case req := <-rotateCh:","             processRotate(req)","           default:","-            goto flushed","+            flushAll()","+            return","           }","         }","-      flushed:","-        // Flush all buffered writers after processing the batch.","-        for _, ws := range hostFiles {","-          if ws.f != nil {","-            ws.w.Flush()","+      }","+","+      for {","+        select {","+        case <-ctx.Done():","+          drain()","+          return","+        case msg, ok := <-msgCh:","+          if !ok {","+            return","           }","+          processMsg(msg)","+","+          // Drain up to 256 more messages without blocking to batch writes.","+          for range 256 {","+            select {","+            case msg, ok := <-msgCh:","+              if !ok {","+                return","+              }","+              processMsg(msg)","+            case req := <-rotateCh:","+              processRotate(req)","+            default:","+              goto flushed","+            }","+          }","+        flushed:","+          flushAll()","+        case req := <-rotateCh:","+          processRotate(req)","         }","-      case req := <-walRotateCh:","-        processRotate(req)","       }","-    }","-  })","+    })","+  }"," }"," "," // RotateWALFiles sends rotation requests for the given host directories"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"204ce3a2-a499-4c2d-9ae9-1b3453c4603d","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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Each request is routed to the\n// shard that owns the host directory.\nfunc RotateWALFiles(hostDirs []string) {\n\tif walShardRotateChs == nil {\n\t\treturn\n\t}\n\tdones := make([]chan struct{}, len(hostDirs))\n\tfor i, dir := range hostDirs {\n\t\tdones[i] = make(chan struct{})\n\t\t// Extract cluster/node from hostDir to find the right shard.\n\t\t// hostDir = rootDir/cluster/node\n\t\tshard := walShardIndexFromDir(dir)\n\t\twalShardRotateChs[shard] <- walRotateReq{hostDir: dir, done: dones[i]}\n\t}\n\tfor _, done := range dones {\n\t\t<-done\n\t}\n}\n\n// walShardIndexFromDir extracts cluster and node from a host directory path\n// and returns the shard index. The path format is: rootDir/cluster/node\nfunc walShardIndexFromDir(hostDir string) int {\n\t// hostDir = .../cluster/node — extract last two path components\n\tnode := path.Base(hostDir)\n\tcluster := path.Base(path.Dir(hostDir))\n\treturn walShardIndex(cluster, node)\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n//\n// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n// per host, eliminating the extra memory overhead of the AvroStore and providing\n// truly continuous (per-write) crash safety.\n//\n// # Architecture\n//\n//\tMetric write (DecodeLine)\n//\t      │\n//\t      ├─► WriteToLevel()    → main MemoryStore (unchanged)\n//\t      │\n//\t      └─► WALMessages channel\n//\t               │\n//\t               ▼\n//\t        WALStaging goroutine\n//\t               │\n//\t               ▼\n//\t        checkpoints/cluster/host/current.wal  (append-only, binary)\n//\n//\tPeriodic checkpoint (Checkpointing goroutine):\n//\t  1. Write <timestamp>.bin snapshot (column-oriented, from main tree)\n//\t  2. Signal WALStaging to truncate current.wal per host\n//\n//\tOn restart (FromCheckpoint):\n//\t  1. Load most recent <timestamp>.bin snapshot\n//\t  2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n//\n// # WAL Record Format\n//\n//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n//\n//\tpayload:\n//\t  [8B timestamp int64]\n//\t  [2B metric_name_len uint16][N metric name bytes]\n//\t  [1B selector_count uint8]\n//\t  per selector: [1B selector_len uint8][M selector bytes]\n//\t  [4B value float32 bits]\n//\n// # Binary Snapshot Format\n//\n//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n//\tLevel tree (recursive):\n//\t  [4B num_metrics uint32]\n//\t  per metric:\n//\t    [2B name_len uint16][N name bytes]\n//\t    [8B frequency int64][8B start int64]\n//\t    [4B num_values uint32][num_values × 4B float32]\n//\t  [4B num_children uint32]\n//\t  per child: [2B name_len uint16][N name bytes] + Level (recursive)\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/binary\"\n\t\"fmt\"\n\t\"hash/crc32\"\n\t\"hash/fnv\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"path\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Magic numbers for binary formats.\nconst (\n\twalFileMagic   = uint32(0xCC1DA701) // WAL file header magic\n\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n\tsnapFileMagic  = uint32(0xCC5B0001) // Binary snapshot magic\n)\n\n// walShardChs holds per-shard channels for WAL messages.\n// Initialized by WALStaging; nil when WAL is not active.\nvar walShardChs []chan *WALMessage\n\n// walShardRotateChs holds per-shard channels for WAL rotation requests.\nvar walShardRotateChs []chan walRotateReq\n\n// walNumShards stores the number of shards (set during WALStaging init).\nvar walNumShards int\n\n// WALMessage represents a single metric write to be appended to the WAL.\n// Cluster and Node are NOT stored in the WAL record (inferred from file path).\ntype WALMessage struct {\n\tMetricName string\n\tCluster    string\n\tNode       string\n\tSelector   []string\n\tValue      schema.Float\n\tTimestamp  int64\n}\n\n// walRotateReq requests WAL file rotation for a specific host directory.\n// The done channel is closed by the WAL goroutine when rotation is complete.\ntype walRotateReq struct {\n\thostDir string\n\tdone    chan struct{}\n}\n\n// walFileState holds an open WAL file handle and buffered writer for one host directory.\ntype walFileState struct {\n\tf *os.File\n\tw *bufio.Writer\n}\n\n// walShardIndex computes which shard a message belongs to based on cluster+node.\n// Uses FNV-1a hash for fast, well-distributed mapping.\nfunc walShardIndex(cluster, node string) int {\n\th := fnv.New32a()\n\th.Write([]byte(cluster))\n\th.Write([]byte{0})\n\th.Write([]byte(node))\n\treturn int(h.Sum32()) % walNumShards\n}\n\n// SendWALMessage routes a WAL message to the appropriate shard channel.\n// Returns false if the channel is full (message dropped).\nfunc SendWALMessage(msg *WALMessage) bool {\n\tif walShardChs == nil {\n\t\treturn false\n\t}\n\tshard := walShardIndex(msg.Cluster, msg.Node)\n\tselect {\n\tcase walShardChs[shard] <- msg:\n\t\treturn true\n\tdefault:\n\t\treturn false\n\t}\n}\n\n// WALStaging starts N sharded background goroutines that receive WALMessage items\n// and append binary WAL records to per-host current.wal files.\n// Each shard owns a subset of hosts (determined by hash of cluster+node),\n// parallelizing serialization and I/O while keeping per-host writes serial.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\treturn\n\t}\n\n\twalNumShards = max(Keys.NumWorkers, 1)\n\tchBufSize := max(65536/walNumShards, 1024)\n\n\twalShardChs = make([]chan *WALMessage, walNumShards)\n\twalShardRotateChs = make([]chan walRotateReq, walNumShards)\n\n\tfor i := range walNumShards {\n\t\twalShardChs[i] = make(chan *WALMessage, chBufSize)\n\t\twalShardRotateChs[i] = make(chan walRotateReq, 64)\n\t}\n\n\tfor i := range walNumShards {\n\t\tmsgCh := walShardChs[i]\n\t\trotateCh := walShardRotateChs[i]\n\n\t\twg.Go(func() {\n\t\t\thostFiles := make(map[string]*walFileState)\n\n\t\t\tdefer func() {\n\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t\tws.f.Close()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\n\t\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n\t\t\t\tws, ok := hostFiles[hostDir]\n\t\t\t\tif ok {\n\t\t\t\t\treturn ws\n\t\t\t\t}\n\n\t\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\n\t\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\n\t\t\t\tw := bufio.NewWriter(f)\n\n\t\t\t\t// Write file header magic if file is new (empty).\n\t\t\t\tinfo, err := f.Stat()\n\t\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\t\tvar hdr [4]byte\n\t\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\t\tf.Close()\n\t\t\t\t\t\treturn nil\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\tws = &walFileState{f: f, w: w}\n\t\t\t\thostFiles[hostDir] = ws\n\t\t\t\treturn ws\n\t\t\t}\n\n\t\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\t\tws := getOrOpenWAL(hostDir)\n\t\t\t\tif ws == nil {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tif err := writeWALRecordDirect(ws.w, msg); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tprocessRotate := func(req walRotateReq) {\n\t\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\t\tif ok && ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t\t}\n\t\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t\t}\n\t\t\t\tclose(req.done)\n\t\t\t}\n\n\t\t\tflushAll := func() {\n\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tdrain := func() {\n\t\t\t\tfor {\n\t\t\t\t\tselect {\n\t\t\t\t\tcase msg, ok := <-msgCh:\n\t\t\t\t\t\tif !ok {\n\t\t\t\t\t\t\treturn\n\t\t\t\t\t\t}\n\t\t\t\t\t\tprocessMsg(msg)\n\t\t\t\t\tcase req := <-rotateCh:\n\t\t\t\t\t\tprocessRotate(req)\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tflushAll()\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase <-ctx.Done():\n\t\t\t\t\tdrain()\n\t\t\t\t\treturn\n\t\t\t\tcase msg, ok := <-msgCh:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\n\t\t\t\t\t// Drain up to 256 more messages without blocking to batch writes.\n\t\t\t\t\tfor range 256 {\n\t\t\t\t\t\tselect {\n\t\t\t\t\t\tcase msg, ok := <-msgCh:\n\t\t\t\t\t\t\tif !ok {\n\t\t\t\t\t\t\t\treturn\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tprocessMsg(msg)\n\t\t\t\t\t\tcase req := <-rotateCh:\n\t\t\t\t\t\t\tprocessRotate(req)\n\t\t\t\t\t\tdefault:\n\t\t\t\t\t\t\tgoto flushed\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\tflushed:\n\t\t\t\t\tflushAll()\n\t\t\t\tcase req := <-rotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\t}\n\t\t\t}\n\t\t})\n\t}\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFiles(hostDirs []string) {\n\tdones := make([]chan struct{}, len(hostDirs))\n\tfor i, dir := range hostDirs {\n\t\tdones[i] = make(chan struct{})\n\t\twalRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}\n\t}\n\tfor _, done := range dones {\n\t\t<-done\n\t}\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFilesAfterShutdown(hostDirs []string) {\n\tfor _, dir := range hostDirs {\n\t\twalPath := path.Join(dir, \"current.wal\")\n\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t}\n\t}\n}\n\n// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\nfunc buildWALPayload(msg *WALMessage) []byte {\n\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n\tfor _, s := range msg.Selector {\n\t\tsize += 1 + len(s)\n\t}\n\n\tbuf := make([]byte, 0, size)\n\n\t// Timestamp (8 bytes, little-endian int64)\n\tvar ts [8]byte\n\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n\tbuf = append(buf, ts[:]...)\n\n\t// Metric name (2-byte length prefix + bytes)\n\tvar mLen [2]byte\n\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n\tbuf = append(buf, mLen[:]...)\n\tbuf = append(buf, msg.MetricName...)\n\n\t// Selector count (1 byte)\n\tbuf = append(buf, byte(len(msg.Selector)))\n\n\t// Selectors (1-byte length prefix + bytes each)\n\tfor _, sel := range msg.Selector {\n\t\tbuf = append(buf, byte(len(sel)))\n\t\tbuf = append(buf, sel...)\n\t}\n\n\t// Value (4 bytes, float32 bit representation)\n\tvar val [4]byte\n\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n\tbuf = append(buf, val[:]...)\n\n\treturn buf\n}\n\n// writeWALRecord appends a binary WAL record to the writer.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(w io.Writer, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := w.Write(record)\n\treturn err\n}\n\n// readWALRecord reads one WAL record from the reader.\n// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n// A CRC mismatch indicates a truncated trailing record (expected on crash).\nfunc readWALRecord(r io.Reader) (*WALMessage, error) {\n\tvar magic uint32\n\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil, nil // Clean EOF\n\t\t}\n\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n\t}\n\n\tif magic != walRecordMagic {\n\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n\t}\n\n\tvar payloadLen uint32\n\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n\t}\n\n\tif payloadLen > 1<<20 { // 1 MB sanity limit\n\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n\t}\n\n\tpayload := make([]byte, payloadLen)\n\tif _, err := io.ReadFull(r, payload); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n\t}\n\n\tvar storedCRC uint32\n\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n\t}\n\n\tif crc32.ChecksumIEEE(payload) != storedCRC {\n\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n\t}\n\n\treturn parseWALPayload(payload)\n}\n\n// parseWALPayload decodes a binary payload into a WALMessage.\nfunc parseWALPayload(payload []byte) (*WALMessage, error) {\n\tif len(payload) < 8+2+1+4 {\n\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n\t}\n\n\toffset := 0\n\n\t// Timestamp (8 bytes)\n\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n\toffset += 8\n\n\t// Metric name (2-byte length + bytes)\n\tif offset+2 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n\t}\n\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n\toffset += 2\n\n\tif offset+mLen > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n\t}\n\tmetricName := string(payload[offset : offset+mLen])\n\toffset += mLen\n\n\t// Selector count (1 byte)\n\tif offset >= len(payload) {\n\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n\t}\n\tselCount := int(payload[offset])\n\toffset++\n\n\tselectors := make([]string, selCount)\n\tfor i := range selCount {\n\t\tif offset >= len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n\t\t}\n\t\tsLen := int(payload[offset])\n\t\toffset++\n\n\t\tif offset+sLen > len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n\t\t}\n\t\tselectors[i] = string(payload[offset : offset+sLen])\n\t\toffset += sLen\n\t}\n\n\t// Value (4 bytes, float32 bits)\n\tif offset+4 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n\t}\n\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n\tvalue := schema.Float(math.Float32frombits(bits))\n\n\treturn &WALMessage{\n\t\tMetricName: metricName,\n\t\tTimestamp:  ts,\n\t\tSelector:   selectors,\n\t\tValue:      value,\n\t}, nil\n}\n\n// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n// l is the host-level node. Corrupt or partial trailing records are silently skipped\n// (expected on crash). Records older than 'from' are skipped.\nfunc (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\t// Verify file header magic.\n\tvar fileMagic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil // Empty file, no data\n\t\t}\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n\t}\n\n\tif fileMagic != walFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n\t}\n\n\t// Cache level lookups to avoid repeated tree traversal.\n\tlvlCache := make(map[string]*Level)\n\n\tfor {\n\t\tmsg, err := readWALRecord(br)\n\t\tif err != nil {\n\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n\t\t\tbreak\n\t\t}\n\t\tif msg == nil {\n\t\t\tbreak // Clean EOF\n\t\t}\n\n\t\tif msg.Timestamp < from {\n\t\t\tcontinue // Older than retention window\n\t\t}\n\n\t\tminfo, ok := m.Metrics[msg.MetricName]\n\t\tif !ok {\n\t\t\tcontinue // Unknown metric (config may have changed)\n\t\t}\n\n\t\t// Cache key is the null-separated selector path.\n\t\tcacheKey := joinSelector(msg.Selector)\n\t\tlvl, ok := lvlCache[cacheKey]\n\t\tif !ok {\n\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n\t\t\tlvlCache[cacheKey] = lvl\n\t\t}\n\n\t\t// Write directly to the buffer, same as WriteToLevel but without the\n\t\t// global level lookup (we already have the right level).\n\t\tlvl.lock.Lock()\n\t\tb := lvl.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n\t\t\tlvl.metrics[minfo.offset] = b\n\t\t}\n\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n\t\tif writeErr == nil && b != nb {\n\t\t\tlvl.metrics[minfo.offset] = nb\n\t\t}\n\t\t// Ignore write errors for timestamps before buffer start (can happen when\n\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n\t\tlvl.lock.Unlock()\n\t}\n\n\treturn nil\n}\n\n// joinSelector builds a cache key from a selector slice using null bytes as separators.\nfunc joinSelector(sel []string) string {\n\tif len(sel) == 0 {\n\t\treturn \"\"\n\t}\n\tvar result strings.Builder\n\tresult.WriteString(sel[0])\n\tfor i := 1; i < len(sel); i++ {\n\t\tresult.WriteString(\"\\x00\" + sel[i])\n\t}\n\treturn result.String()\n}\n\n// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n// Returns the number of files written, the list of host directories that were\n// successfully checkpointed (for WAL rotation), and any errors.\nfunc (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n\t// Collect all cluster/host pairs.\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel    *Level\n\t\thostDir  string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\tvar successDirs []string\n\tvar successMu sync.Mutex\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\n\tfor range Keys.NumWorkers {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor wi := range work {\n\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n\t\t\t\tif err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\tsuccessMu.Lock()\n\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n\t\t\t\t\tsuccessMu.Unlock()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := range levels {\n\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel:    levels[i],\n\t\t\thostDir:  hostDir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n\t}\n\treturn int(n), successDirs, nil\n}\n\n// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\nfunc (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n\t}\n\n\t// Write to a temp file first, then rename (atomic on POSIX).\n\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n\n\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n\t}\n\n\tbw := bufio.NewWriter(f)\n\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n\t}\n\tif err := bw.Flush(); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn err\n\t}\n\tf.Close()\n\n\treturn os.Rename(tmpPath, finalPath)\n}\n\n// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\nfunc writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n\t\treturn err\n\t}\n\treturn writeBinaryLevel(w, cf)\n}\n\n// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\nfunc writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, metric := range cf.Metrics {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tfor _, v := range metric.Data {\n\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, child := range cf.Children {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := writeBinaryLevel(w, child); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// writeString16 writes a 2-byte length-prefixed string to w.\nfunc writeString16(w io.Writer, s string) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n\t\treturn err\n\t}\n\t_, err := io.WriteString(w, s)\n\treturn err\n}\n\n// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n// The retention check (from) is applied to the file's 'to' timestamp.\nfunc (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\tvar magic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n\t}\n\tif magic != snapFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n\t}\n\n\tvar fileFrom, fileTo int64\n\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n\t}\n\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n\t}\n\n\tif fileTo != 0 && fileTo < from {\n\t\treturn nil // File is older than retention window, skip it\n\t}\n\n\tcf, err := readBinaryLevel(br)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n\t}\n\tcf.From = fileFrom\n\tcf.To = fileTo\n\n\treturn l.loadFile(cf, m)\n}\n\n// readBinaryLevel recursively reads a level from the binary snapshot format.\nfunc readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n\tcf := &CheckpointFile{\n\t\tMetrics:  make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tvar numMetrics uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n\t}\n\n\tfor range numMetrics {\n\t\tname, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n\t\t}\n\n\t\tvar freq, start int64\n\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n\t\t}\n\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n\t\t}\n\n\t\tvar numValues uint32\n\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n\t\t}\n\n\t\tdata := make([]schema.Float, numValues)\n\t\tfor i := range numValues {\n\t\t\tvar bits uint32\n\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n\t\t\t}\n\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n\t\t}\n\n\t\tcf.Metrics[name] = &CheckpointMetrics{\n\t\t\tFrequency: freq,\n\t\t\tStart:     start,\n\t\t\tData:      data,\n\t\t}\n\t}\n\n\tvar numChildren uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_children: %w\", err)\n\t}\n\n\tfor range numChildren {\n\t\tchildName, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child name: %w\", err)\n\t\t}\n\n\t\tchild, err := readBinaryLevel(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child %s: %w\", childName, err)\n\t\t}\n\t\tcf.Children[childName] = child\n\t}\n\n\treturn cf, nil\n}\n\n// readString16 reads a 2-byte length-prefixed string from r.\nfunc readString16(r io.Reader) (string, error) {\n\tvar sLen uint16\n\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {\n\t\treturn \"\", err\n\t}\n\tbuf := make([]byte, sLen)\n\tif _, err := io.ReadFull(r, buf); err != nil {\n\t\treturn \"\", err\n\t}\n\treturn string(buf), nil\n}\n","structuredPatch":[{"oldStart":299,"oldLines":18,"newStart":299,"newLines":34,"lines":[" }"," "," // RotateWALFiles sends rotation requests for the given host directories","-// and blocks until all rotations complete.","+// and blocks until all rotations complete. Each request is routed to the","+// shard that owns the host directory."," func RotateWALFiles(hostDirs []string) {","+  if walShardRotateChs == nil {","+    return","+  }","   dones := make([]chan struct{}, len(hostDirs))","   for i, dir := range hostDirs {","     dones[i] = make(chan struct{})","-    walRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}","+    // Extract cluster/node from hostDir to find the right shard.","+    // hostDir = rootDir/cluster/node","+    shard := walShardIndexFromDir(dir)","+    walShardRotateChs[shard] <- walRotateReq{hostDir: dir, done: dones[i]}","   }","   for _, done := range dones {","     <-done","   }"," }"," ","+// walShardIndexFromDir extracts cluster and node from a host directory path","+// and returns the shard index. The path format is: rootDir/cluster/node","+func walShardIndexFromDir(hostDir string) int {","+  // hostDir = .../cluster/node — extract last two path components","+  node := path.Base(hostDir)","+  cluster := path.Base(path.Dir(hostDir))","+  return walShardIndex(cluster, node)","+}","+"," // RotateWALFiles sends rotation requests for the given host directories"," // and blocks until all rotations complete."," func RotateWALFilesAfterShutdown(hostDirs []string) {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"0ce64c54-23cb-44f4-a275-cffc1dd20aee","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"parentUuid":"3829bf65-3ef2-4147-997a-93067d16f856","isSidechain":false,"promptId":"53f7aeff-f280-4fa6-a195-55ff40087d7e","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MK7wWVzyNRujJqPZ4AdhUm","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go has been updated successfully."}]},"uuid":"f516e388-967e-426b-8ce5-d27bb7de30f8","timestamp":"2026-03-18T05:30:50.739Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","oldString":"// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\nfunc buildWALPayload(msg *WALMessage) []byte {","newString":"// writeWALRecordDirect encodes a WAL record directly into the bufio.Writer,\n// avoiding heap allocations by using a stack-allocated scratch buffer for\n// the fixed-size header/trailer and computing CRC inline.\nfunc writeWALRecordDirect(w *bufio.Writer, msg *WALMessage) error {\n\t// Compute payload size.\n\tpayloadSize := 8 + 2 + len(msg.MetricName) + 1 + 4\n\tfor _, s := range msg.Selector {\n\t\tpayloadSize += 1 + len(s)\n\t}\n\n\t// Write magic + payload length (8 bytes header).\n\tvar hdr [8]byte\n\tbinary.LittleEndian.PutUint32(hdr[0:4], walRecordMagic)\n\tbinary.LittleEndian.PutUint32(hdr[4:8], uint32(payloadSize))\n\tif _, err := w.Write(hdr[:]); err != nil {\n\t\treturn err\n\t}\n\n\t// We need to compute CRC over the payload as we write it.\n\tcrc := crc32.NewIEEE()\n\n\t// Timestamp (8 bytes).\n\tvar scratch [8]byte\n\tbinary.LittleEndian.PutUint64(scratch[:8], uint64(msg.Timestamp))\n\tcrc.Write(scratch[:8])\n\tif _, err := w.Write(scratch[:8]); err != nil {\n\t\treturn err\n\t}\n\n\t// Metric name length (2 bytes) + metric name.\n\tbinary.LittleEndian.PutUint16(scratch[:2], uint16(len(msg.MetricName)))\n\tcrc.Write(scratch[:2])\n\tif _, err := w.Write(scratch[:2]); err != nil {\n\t\treturn err\n\t}\n\tnameBytes := []byte(msg.MetricName)\n\tcrc.Write(nameBytes)\n\tif _, err := w.Write(nameBytes); err != nil {\n\t\treturn err\n\t}\n\n\t// Selector count (1 byte).\n\tscratch[0] = byte(len(msg.Selector))\n\tcrc.Write(scratch[:1])\n\tif _, err := w.Write(scratch[:1]); err != nil {\n\t\treturn err\n\t}\n\n\t// Selectors (1-byte length + bytes each).\n\tfor _, sel := range msg.Selector {\n\t\tscratch[0] = byte(len(sel))\n\t\tcrc.Write(scratch[:1])\n\t\tif _, err := w.Write(scratch[:1]); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tselBytes := []byte(sel)\n\t\tcrc.Write(selBytes)\n\t\tif _, err := w.Write(selBytes); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// Value (4 bytes, float32 bits).\n\tbinary.LittleEndian.PutUint32(scratch[:4], math.Float32bits(float32(msg.Value)))\n\tcrc.Write(scratch[:4])\n\tif _, err := w.Write(scratch[:4]); err != nil {\n\t\treturn err\n\t}\n\n\t// CRC32 (4 bytes).\n\tbinary.LittleEndian.PutUint32(scratch[:4], crc.Sum32())\n\t_, err := w.Write(scratch[:4])\n\treturn err\n}\n\n// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\nfunc buildWALPayload(msg *WALMessage) []byte {","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n//\n// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n// per host, eliminating the extra memory overhead of the AvroStore and providing\n// truly continuous (per-write) crash safety.\n//\n// # Architecture\n//\n//\tMetric write (DecodeLine)\n//\t      │\n//\t      ├─► WriteToLevel()    → main MemoryStore (unchanged)\n//\t      │\n//\t      └─► WALMessages channel\n//\t               │\n//\t               ▼\n//\t        WALStaging goroutine\n//\t               │\n//\t               ▼\n//\t        checkpoints/cluster/host/current.wal  (append-only, binary)\n//\n//\tPeriodic checkpoint (Checkpointing goroutine):\n//\t  1. Write <timestamp>.bin snapshot (column-oriented, from main tree)\n//\t  2. Signal WALStaging to truncate current.wal per host\n//\n//\tOn restart (FromCheckpoint):\n//\t  1. Load most recent <timestamp>.bin snapshot\n//\t  2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n//\n// # WAL Record Format\n//\n//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n//\n//\tpayload:\n//\t  [8B timestamp int64]\n//\t  [2B metric_name_len uint16][N metric name bytes]\n//\t  [1B selector_count uint8]\n//\t  per selector: [1B selector_len uint8][M selector bytes]\n//\t  [4B value float32 bits]\n//\n// # Binary Snapshot Format\n//\n//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n//\tLevel tree (recursive):\n//\t  [4B num_metrics uint32]\n//\t  per metric:\n//\t    [2B name_len uint16][N name bytes]\n//\t    [8B frequency int64][8B start int64]\n//\t    [4B num_values uint32][num_values × 4B float32]\n//\t  [4B num_children uint32]\n//\t  per child: [2B name_len uint16][N name bytes] + Level (recursive)\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/binary\"\n\t\"fmt\"\n\t\"hash/crc32\"\n\t\"hash/fnv\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"path\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Magic numbers for binary formats.\nconst (\n\twalFileMagic   = uint32(0xCC1DA701) // WAL file header magic\n\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n\tsnapFileMagic  = uint32(0xCC5B0001) // Binary snapshot magic\n)\n\n// walShardChs holds per-shard channels for WAL messages.\n// Initialized by WALStaging; nil when WAL is not active.\nvar walShardChs []chan *WALMessage\n\n// walShardRotateChs holds per-shard channels for WAL rotation requests.\nvar walShardRotateChs []chan walRotateReq\n\n// walNumShards stores the number of shards (set during WALStaging init).\nvar walNumShards int\n\n// WALMessage represents a single metric write to be appended to the WAL.\n// Cluster and Node are NOT stored in the WAL record (inferred from file path).\ntype WALMessage struct {\n\tMetricName string\n\tCluster    string\n\tNode       string\n\tSelector   []string\n\tValue      schema.Float\n\tTimestamp  int64\n}\n\n// walRotateReq requests WAL file rotation for a specific host directory.\n// The done channel is closed by the WAL goroutine when rotation is complete.\ntype walRotateReq struct {\n\thostDir string\n\tdone    chan struct{}\n}\n\n// walFileState holds an open WAL file handle and buffered writer for one host directory.\ntype walFileState struct {\n\tf *os.File\n\tw *bufio.Writer\n}\n\n// walShardIndex computes which shard a message belongs to based on cluster+node.\n// Uses FNV-1a hash for fast, well-distributed mapping.\nfunc walShardIndex(cluster, node string) int {\n\th := fnv.New32a()\n\th.Write([]byte(cluster))\n\th.Write([]byte{0})\n\th.Write([]byte(node))\n\treturn int(h.Sum32()) % walNumShards\n}\n\n// SendWALMessage routes a WAL message to the appropriate shard channel.\n// Returns false if the channel is full (message dropped).\nfunc SendWALMessage(msg *WALMessage) bool {\n\tif walShardChs == nil {\n\t\treturn false\n\t}\n\tshard := walShardIndex(msg.Cluster, msg.Node)\n\tselect {\n\tcase walShardChs[shard] <- msg:\n\t\treturn true\n\tdefault:\n\t\treturn false\n\t}\n}\n\n// WALStaging starts N sharded background goroutines that receive WALMessage items\n// and append binary WAL records to per-host current.wal files.\n// Each shard owns a subset of hosts (determined by hash of cluster+node),\n// parallelizing serialization and I/O while keeping per-host writes serial.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\treturn\n\t}\n\n\twalNumShards = max(Keys.NumWorkers, 1)\n\tchBufSize := max(65536/walNumShards, 1024)\n\n\twalShardChs = make([]chan *WALMessage, walNumShards)\n\twalShardRotateChs = make([]chan walRotateReq, walNumShards)\n\n\tfor i := range walNumShards {\n\t\twalShardChs[i] = make(chan *WALMessage, chBufSize)\n\t\twalShardRotateChs[i] = make(chan walRotateReq, 64)\n\t}\n\n\tfor i := range walNumShards {\n\t\tmsgCh := walShardChs[i]\n\t\trotateCh := walShardRotateChs[i]\n\n\t\twg.Go(func() {\n\t\t\thostFiles := make(map[string]*walFileState)\n\n\t\t\tdefer func() {\n\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t\tws.f.Close()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\n\t\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n\t\t\t\tws, ok := hostFiles[hostDir]\n\t\t\t\tif ok {\n\t\t\t\t\treturn ws\n\t\t\t\t}\n\n\t\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\n\t\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\n\t\t\t\tw := bufio.NewWriter(f)\n\n\t\t\t\t// Write file header magic if file is new (empty).\n\t\t\t\tinfo, err := f.Stat()\n\t\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\t\tvar hdr [4]byte\n\t\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\t\tf.Close()\n\t\t\t\t\t\treturn nil\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\tws = &walFileState{f: f, w: w}\n\t\t\t\thostFiles[hostDir] = ws\n\t\t\t\treturn ws\n\t\t\t}\n\n\t\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\t\tws := getOrOpenWAL(hostDir)\n\t\t\t\tif ws == nil {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tif err := writeWALRecordDirect(ws.w, msg); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tprocessRotate := func(req walRotateReq) {\n\t\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\t\tif ok && ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t\t}\n\t\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t\t}\n\t\t\t\tclose(req.done)\n\t\t\t}\n\n\t\t\tflushAll := func() {\n\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tdrain := func() {\n\t\t\t\tfor {\n\t\t\t\t\tselect {\n\t\t\t\t\tcase msg, ok := <-msgCh:\n\t\t\t\t\t\tif !ok {\n\t\t\t\t\t\t\treturn\n\t\t\t\t\t\t}\n\t\t\t\t\t\tprocessMsg(msg)\n\t\t\t\t\tcase req := <-rotateCh:\n\t\t\t\t\t\tprocessRotate(req)\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tflushAll()\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase <-ctx.Done():\n\t\t\t\t\tdrain()\n\t\t\t\t\treturn\n\t\t\t\tcase msg, ok := <-msgCh:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\n\t\t\t\t\t// Drain up to 256 more messages without blocking to batch writes.\n\t\t\t\t\tfor range 256 {\n\t\t\t\t\t\tselect {\n\t\t\t\t\t\tcase msg, ok := <-msgCh:\n\t\t\t\t\t\t\tif !ok {\n\t\t\t\t\t\t\t\treturn\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tprocessMsg(msg)\n\t\t\t\t\t\tcase req := <-rotateCh:\n\t\t\t\t\t\t\tprocessRotate(req)\n\t\t\t\t\t\tdefault:\n\t\t\t\t\t\t\tgoto flushed\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\tflushed:\n\t\t\t\t\tflushAll()\n\t\t\t\tcase req := <-rotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\t}\n\t\t\t}\n\t\t})\n\t}\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete. Each request is routed to the\n// shard that owns the host directory.\nfunc RotateWALFiles(hostDirs []string) {\n\tif walShardRotateChs == nil {\n\t\treturn\n\t}\n\tdones := make([]chan struct{}, len(hostDirs))\n\tfor i, dir := range hostDirs {\n\t\tdones[i] = make(chan struct{})\n\t\t// Extract cluster/node from hostDir to find the right shard.\n\t\t// hostDir = rootDir/cluster/node\n\t\tshard := walShardIndexFromDir(dir)\n\t\twalShardRotateChs[shard] <- walRotateReq{hostDir: dir, done: dones[i]}\n\t}\n\tfor _, done := range dones {\n\t\t<-done\n\t}\n}\n\n// walShardIndexFromDir extracts cluster and node from a host directory path\n// and returns the shard index. The path format is: rootDir/cluster/node\nfunc walShardIndexFromDir(hostDir string) int {\n\t// hostDir = .../cluster/node — extract last two path components\n\tnode := path.Base(hostDir)\n\tcluster := path.Base(path.Dir(hostDir))\n\treturn walShardIndex(cluster, node)\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFilesAfterShutdown(hostDirs []string) {\n\tfor _, dir := range hostDirs {\n\t\twalPath := path.Join(dir, \"current.wal\")\n\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t}\n\t}\n}\n\n// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\nfunc buildWALPayload(msg *WALMessage) []byte {\n\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n\tfor _, s := range msg.Selector {\n\t\tsize += 1 + len(s)\n\t}\n\n\tbuf := make([]byte, 0, size)\n\n\t// Timestamp (8 bytes, little-endian int64)\n\tvar ts [8]byte\n\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n\tbuf = append(buf, ts[:]...)\n\n\t// Metric name (2-byte length prefix + bytes)\n\tvar mLen [2]byte\n\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n\tbuf = append(buf, mLen[:]...)\n\tbuf = append(buf, msg.MetricName...)\n\n\t// Selector count (1 byte)\n\tbuf = append(buf, byte(len(msg.Selector)))\n\n\t// Selectors (1-byte length prefix + bytes each)\n\tfor _, sel := range msg.Selector {\n\t\tbuf = append(buf, byte(len(sel)))\n\t\tbuf = append(buf, sel...)\n\t}\n\n\t// Value (4 bytes, float32 bit representation)\n\tvar val [4]byte\n\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n\tbuf = append(buf, val[:]...)\n\n\treturn buf\n}\n\n// writeWALRecord appends a binary WAL record to the writer.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(w io.Writer, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := w.Write(record)\n\treturn err\n}\n\n// readWALRecord reads one WAL record from the reader.\n// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n// A CRC mismatch indicates a truncated trailing record (expected on crash).\nfunc readWALRecord(r io.Reader) (*WALMessage, error) {\n\tvar magic uint32\n\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil, nil // Clean EOF\n\t\t}\n\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n\t}\n\n\tif magic != walRecordMagic {\n\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n\t}\n\n\tvar payloadLen uint32\n\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n\t}\n\n\tif payloadLen > 1<<20 { // 1 MB sanity limit\n\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n\t}\n\n\tpayload := make([]byte, payloadLen)\n\tif _, err := io.ReadFull(r, payload); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n\t}\n\n\tvar storedCRC uint32\n\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n\t}\n\n\tif crc32.ChecksumIEEE(payload) != storedCRC {\n\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n\t}\n\n\treturn parseWALPayload(payload)\n}\n\n// parseWALPayload decodes a binary payload into a WALMessage.\nfunc parseWALPayload(payload []byte) (*WALMessage, error) {\n\tif len(payload) < 8+2+1+4 {\n\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n\t}\n\n\toffset := 0\n\n\t// Timestamp (8 bytes)\n\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n\toffset += 8\n\n\t// Metric name (2-byte length + bytes)\n\tif offset+2 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n\t}\n\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n\toffset += 2\n\n\tif offset+mLen > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n\t}\n\tmetricName := string(payload[offset : offset+mLen])\n\toffset += mLen\n\n\t// Selector count (1 byte)\n\tif offset >= len(payload) {\n\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n\t}\n\tselCount := int(payload[offset])\n\toffset++\n\n\tselectors := make([]string, selCount)\n\tfor i := range selCount {\n\t\tif offset >= len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n\t\t}\n\t\tsLen := int(payload[offset])\n\t\toffset++\n\n\t\tif offset+sLen > len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n\t\t}\n\t\tselectors[i] = string(payload[offset : offset+sLen])\n\t\toffset += sLen\n\t}\n\n\t// Value (4 bytes, float32 bits)\n\tif offset+4 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n\t}\n\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n\tvalue := schema.Float(math.Float32frombits(bits))\n\n\treturn &WALMessage{\n\t\tMetricName: metricName,\n\t\tTimestamp:  ts,\n\t\tSelector:   selectors,\n\t\tValue:      value,\n\t}, nil\n}\n\n// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n// l is the host-level node. Corrupt or partial trailing records are silently skipped\n// (expected on crash). Records older than 'from' are skipped.\nfunc (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\t// Verify file header magic.\n\tvar fileMagic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil // Empty file, no data\n\t\t}\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n\t}\n\n\tif fileMagic != walFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n\t}\n\n\t// Cache level lookups to avoid repeated tree traversal.\n\tlvlCache := make(map[string]*Level)\n\n\tfor {\n\t\tmsg, err := readWALRecord(br)\n\t\tif err != nil {\n\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n\t\t\tbreak\n\t\t}\n\t\tif msg == nil {\n\t\t\tbreak // Clean EOF\n\t\t}\n\n\t\tif msg.Timestamp < from {\n\t\t\tcontinue // Older than retention window\n\t\t}\n\n\t\tminfo, ok := m.Metrics[msg.MetricName]\n\t\tif !ok {\n\t\t\tcontinue // Unknown metric (config may have changed)\n\t\t}\n\n\t\t// Cache key is the null-separated selector path.\n\t\tcacheKey := joinSelector(msg.Selector)\n\t\tlvl, ok := lvlCache[cacheKey]\n\t\tif !ok {\n\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n\t\t\tlvlCache[cacheKey] = lvl\n\t\t}\n\n\t\t// Write directly to the buffer, same as WriteToLevel but without the\n\t\t// global level lookup (we already have the right level).\n\t\tlvl.lock.Lock()\n\t\tb := lvl.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n\t\t\tlvl.metrics[minfo.offset] = b\n\t\t}\n\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n\t\tif writeErr == nil && b != nb {\n\t\t\tlvl.metrics[minfo.offset] = nb\n\t\t}\n\t\t// Ignore write errors for timestamps before buffer start (can happen when\n\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n\t\tlvl.lock.Unlock()\n\t}\n\n\treturn nil\n}\n\n// joinSelector builds a cache key from a selector slice using null bytes as separators.\nfunc joinSelector(sel []string) string {\n\tif len(sel) == 0 {\n\t\treturn \"\"\n\t}\n\tvar result strings.Builder\n\tresult.WriteString(sel[0])\n\tfor i := 1; i < len(sel); i++ {\n\t\tresult.WriteString(\"\\x00\" + sel[i])\n\t}\n\treturn result.String()\n}\n\n// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n// Returns the number of files written, the list of host directories that were\n// successfully checkpointed (for WAL rotation), and any errors.\nfunc (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n\t// Collect all cluster/host pairs.\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel    *Level\n\t\thostDir  string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\tvar successDirs []string\n\tvar successMu sync.Mutex\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\n\tfor range Keys.NumWorkers {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor wi := range work {\n\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n\t\t\t\tif err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\tsuccessMu.Lock()\n\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n\t\t\t\t\tsuccessMu.Unlock()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := range levels {\n\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel:    levels[i],\n\t\t\thostDir:  hostDir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n\t}\n\treturn int(n), successDirs, nil\n}\n\n// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\nfunc (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n\t}\n\n\t// Write to a temp file first, then rename (atomic on POSIX).\n\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n\n\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n\t}\n\n\tbw := bufio.NewWriter(f)\n\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n\t}\n\tif err := bw.Flush(); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn err\n\t}\n\tf.Close()\n\n\treturn os.Rename(tmpPath, finalPath)\n}\n\n// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\nfunc writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n\t\treturn err\n\t}\n\treturn writeBinaryLevel(w, cf)\n}\n\n// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\nfunc writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, metric := range cf.Metrics {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tfor _, v := range metric.Data {\n\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, child := range cf.Children {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := writeBinaryLevel(w, child); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// writeString16 writes a 2-byte length-prefixed string to w.\nfunc writeString16(w io.Writer, s string) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n\t\treturn err\n\t}\n\t_, err := io.WriteString(w, s)\n\treturn err\n}\n\n// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n// The retention check (from) is applied to the file's 'to' timestamp.\nfunc (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\tvar magic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n\t}\n\tif magic != snapFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n\t}\n\n\tvar fileFrom, fileTo int64\n\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n\t}\n\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n\t}\n\n\tif fileTo != 0 && fileTo < from {\n\t\treturn nil // File is older than retention window, skip it\n\t}\n\n\tcf, err := readBinaryLevel(br)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n\t}\n\tcf.From = fileFrom\n\tcf.To = fileTo\n\n\treturn l.loadFile(cf, m)\n}\n\n// readBinaryLevel recursively reads a level from the binary snapshot format.\nfunc readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n\tcf := &CheckpointFile{\n\t\tMetrics:  make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tvar numMetrics uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n\t}\n\n\tfor range numMetrics {\n\t\tname, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n\t\t}\n\n\t\tvar freq, start int64\n\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n\t\t}\n\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n\t\t}\n\n\t\tvar numValues uint32\n\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n\t\t}\n\n\t\tdata := make([]schema.Float, numValues)\n\t\tfor i := range numValues {\n\t\t\tvar bits uint32\n\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n\t\t\t}\n\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n\t\t}\n\n\t\tcf.Metrics[name] = &CheckpointMetrics{\n\t\t\tFrequency: freq,\n\t\t\tStart:     start,\n\t\t\tData:      data,\n\t\t}\n\t}\n\n\tvar numChildren uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_children: %w\", err)\n\t}\n\n\tfor range numChildren {\n\t\tchildName, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child name: %w\", err)\n\t\t}\n\n\t\tchild, err := readBinaryLevel(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child %s: %w\", childName, err)\n\t\t}\n\t\tcf.Children[childName] = child\n\t}\n\n\treturn cf, nil\n}\n\n// readString16 reads a 2-byte length-prefixed string from r.\nfunc readString16(r io.Reader) (string, error) {\n\tvar sLen uint16\n\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {\n\t\treturn \"\", err\n\t}\n\tbuf := make([]byte, sLen)\n\tif _, err := io.ReadFull(r, buf); err != nil {\n\t\treturn \"\", err\n\t}\n\treturn string(buf), nil\n}\n","structuredPatch":[{"oldStart":338,"oldLines":6,"newStart":338,"newLines":81,"lines":["   }"," }"," ","+// writeWALRecordDirect encodes a WAL record directly into the bufio.Writer,","+// avoiding heap allocations by using a stack-allocated scratch buffer for","+// the fixed-size header/trailer and computing CRC inline.","+func writeWALRecordDirect(w *bufio.Writer, msg *WALMessage) error {","+  // Compute payload size.","+  payloadSize := 8 + 2 + len(msg.MetricName) + 1 + 4","+  for _, s := range msg.Selector {","+    payloadSize += 1 + len(s)","+  }","+","+  // Write magic + payload length (8 bytes header).","+  var hdr [8]byte","+  binary.LittleEndian.PutUint32(hdr[0:4], walRecordMagic)","+  binary.LittleEndian.PutUint32(hdr[4:8], uint32(payloadSize))","+  if _, err := w.Write(hdr[:]); err != nil {","+    return err","+  }","+","+  // We need to compute CRC over the payload as we write it.","+  crc := crc32.NewIEEE()","+","+  // Timestamp (8 bytes).","+  var scratch [8]byte","+  binary.LittleEndian.PutUint64(scratch[:8], uint64(msg.Timestamp))","+  crc.Write(scratch[:8])","+  if _, err := w.Write(scratch[:8]); err != nil {","+    return err","+  }","+","+  // Metric name length (2 bytes) + metric name.","+  binary.LittleEndian.PutUint16(scratch[:2], uint16(len(msg.MetricName)))","+  crc.Write(scratch[:2])","+  if _, err := w.Write(scratch[:2]); err != nil {","+    return err","+  }","+  nameBytes := []byte(msg.MetricName)","+  crc.Write(nameBytes)","+  if _, err := w.Write(nameBytes); err != nil {","+    return err","+  }","+","+  // Selector count (1 byte).","+  scratch[0] = byte(len(msg.Selector))","+  crc.Write(scratch[:1])","+  if _, err := w.Write(scratch[:1]); err != nil {","+    return err","+  }","+","+  // Selectors (1-byte length + bytes each).","+  for _, sel := range msg.Selector {","+    scratch[0] = byte(len(sel))","+    crc.Write(scratch[:1])","+    if _, err := w.Write(scratch[:1]); err != nil {","+      return err","+    }","+    selBytes := []byte(sel)","+    crc.Write(selBytes)","+    if _, err := w.Write(selBytes); err != nil {","+      return err","+    }","+  }","+","+  // Value (4 bytes, float32 bits).","+  binary.LittleEndian.PutUint32(scratch[:4], math.Float32bits(float32(msg.Value)))","+  crc.Write(scratch[:4])","+  if _, err := w.Write(scratch[:4]); err != nil {","+    return err","+  }","+","+  // CRC32 (4 bytes).","+  binary.LittleEndian.PutUint32(scratch[:4], crc.Sum32())","+  _, err := w.Write(scratch[:4])","+  return err","+}","+"," // buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC)."," func buildWALPayload(msg *WALMessage) []byte {","   size := 8 + 2 + len(msg.MetricName) + 1 + 4"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"3829bf65-3ef2-4147-997a-93067d16f856","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"f516e388-967e-426b-8ce5-d27bb7de30f8","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01MwDtX2EXWLeY2GyMf3bPBz","type":"message","role":"assistant","content":[{"type":"text","text":"Now update `lineprotocol.go` to use `SendWALMessage` instead of the old channel:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1133,"cache_read_input_tokens":54066,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1133},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ9zm2h9ACaUXjNCvZnA9","type":"assistant","uuid":"81698871-f318-433a-a9c1-73deaba8627d","timestamp":"2026-03-18T05:30:55.034Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"81698871-f318-433a-a9c1-73deaba8627d","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01MwDtX2EXWLeY2GyMf3bPBz","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DFf2yUQMVDgkrySkR8wNCm","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/lineprotocol.go","old_string":"\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\t\tmsg := &WALMessage{\n\t\t\t\tMetricName: string(st.metricBuf),\n\t\t\t\tCluster:    cluster,\n\t\t\t\tNode:       host,\n\t\t\t\tSelector:   append([]string{}, st.selector...),\n\t\t\t\tValue:      metric.Value,\n\t\t\t\tTimestamp:  time,\n\t\t\t}\n\t\t\tselect {\n\t\t\tcase WALMessages <- msg:\n\t\t\tdefault:\n\t\t\t\t// WAL channel full — metric is written to memory store but not WAL.\n\t\t\t\t// Next binary snapshot will capture it.\n\t\t\t\tif dropped := walDropped.Add(1); dropped%10000 == 1 {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> WAL channel full, dropped %d messages (data safe in memory, next snapshot will capture)\", dropped)\n\t\t\t\t}\n\t\t\t}\n\t\t}","new_string":"\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\t\tmsg := &WALMessage{\n\t\t\t\tMetricName: string(st.metricBuf),\n\t\t\t\tCluster:    cluster,\n\t\t\t\tNode:       host,\n\t\t\t\tSelector:   append([]string{}, st.selector...),\n\t\t\t\tValue:      metric.Value,\n\t\t\t\tTimestamp:  time,\n\t\t\t}\n\t\t\tif !SendWALMessage(msg) {\n\t\t\t\t// WAL shard channel full — metric is written to memory store but not WAL.\n\t\t\t\t// Next binary snapshot will capture it.\n\t\t\t\tif dropped := walDropped.Add(1); dropped%10000 == 1 {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> WAL shard channel full, dropped %d messages (data safe in memory, next snapshot will capture)\", dropped)\n\t\t\t\t}\n\t\t\t}\n\t\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1133,"cache_read_input_tokens":54066,"output_tokens":577,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1133,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ9zm2h9ACaUXjNCvZnA9","type":"assistant","uuid":"72101529-3598-4ee8-81de-3e5f77a78e1e","timestamp":"2026-03-18T05:31:02.152Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"type":"file-history-snapshot","messageId":"72101529-3598-4ee8-81de-3e5f77a78e1e","snapshot":{"messageId":"e61b6d31-15d1-4b25-a4d5-dc4c0ddd1260","trackedFileBackups":{"pkg/metricstore/walCheckpoint.go":{"backupFileName":"f5b5b4bac0274f50@v1","version":1,"backupTime":"2026-03-18T05:29:45.041Z"},"pkg/metricstore/lineprotocol.go":{"backupFileName":"90dc6599471442f6@v1","version":1,"backupTime":"2026-03-18T05:31:02.178Z"}},"timestamp":"2026-03-18T05:29:19.393Z"},"isSnapshotUpdate":true}
+{"parentUuid":"72101529-3598-4ee8-81de-3e5f77a78e1e","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01DFf2yUQMVDgkrySkR8wNCm","toolUseID":"toolu_01DFf2yUQMVDgkrySkR8wNCm","timestamp":"2026-03-18T05:31:02.181Z","uuid":"7e92b110-1875-4ed6-917e-92bc0832febe","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"72101529-3598-4ee8-81de-3e5f77a78e1e","isSidechain":false,"promptId":"53f7aeff-f280-4fa6-a195-55ff40087d7e","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DFf2yUQMVDgkrySkR8wNCm","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/lineprotocol.go has been updated successfully."}]},"uuid":"69e6c8e8-7232-4b5e-8bdc-1ac294f4b8b0","timestamp":"2026-03-18T05:31:02.181Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/lineprotocol.go","oldString":"\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\t\tmsg := &WALMessage{\n\t\t\t\tMetricName: string(st.metricBuf),\n\t\t\t\tCluster:    cluster,\n\t\t\t\tNode:       host,\n\t\t\t\tSelector:   append([]string{}, st.selector...),\n\t\t\t\tValue:      metric.Value,\n\t\t\t\tTimestamp:  time,\n\t\t\t}\n\t\t\tselect {\n\t\t\tcase WALMessages <- msg:\n\t\t\tdefault:\n\t\t\t\t// WAL channel full — metric is written to memory store but not WAL.\n\t\t\t\t// Next binary snapshot will capture it.\n\t\t\t\tif dropped := walDropped.Add(1); dropped%10000 == 1 {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> WAL channel full, dropped %d messages (data safe in memory, next snapshot will capture)\", dropped)\n\t\t\t\t}\n\t\t\t}\n\t\t}","newString":"\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\t\tmsg := &WALMessage{\n\t\t\t\tMetricName: string(st.metricBuf),\n\t\t\t\tCluster:    cluster,\n\t\t\t\tNode:       host,\n\t\t\t\tSelector:   append([]string{}, st.selector...),\n\t\t\t\tValue:      metric.Value,\n\t\t\t\tTimestamp:  time,\n\t\t\t}\n\t\t\tif !SendWALMessage(msg) {\n\t\t\t\t// WAL shard channel full — metric is written to memory store but not WAL.\n\t\t\t\t// Next binary snapshot will capture it.\n\t\t\t\tif dropped := walDropped.Add(1); dropped%10000 == 1 {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> WAL shard channel full, dropped %d messages (data safe in memory, next snapshot will capture)\", dropped)\n\t\t\t\t}\n\t\t\t}\n\t\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file implements ingestion of InfluxDB line-protocol metric data received\n// over NATS. Each line encodes one metric sample with the following structure:\n//\n//\t<measurement>[,cluster=<c>][,hostname=<h>][,type=<t>][,type-id=<id>][,subtype=<s>][,stype-id=<id>] value=<v> [<timestamp>]\n//\n// The measurement name identifies the metric (e.g. \"cpu_load\"). Tags provide\n// routing information (cluster, host) and optional sub-device selectors (type,\n// subtype). Only one field is expected per line: \"value\".\n//\n// After decoding, each sample is:\n//  1. Written to the in-memory store via ms.WriteToLevel.\n//  2. If the checkpoint format is \"wal\", also forwarded to the WAL staging\n//     goroutine via the WALMessages channel for durable write-ahead logging.\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\t\"sync/atomic\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// ReceiveNats subscribes to all configured NATS subjects and feeds incoming\n// line-protocol messages into the MemoryStore.\n//\n// When workers > 1 a pool of goroutines drains a shared channel so that\n// multiple messages can be decoded in parallel. With workers == 1 the NATS\n// callback decodes inline (no channel overhead, lower latency).\n//\n// The function blocks until ctx is cancelled and all worker goroutines have\n// finished. It returns nil when the NATS client is not configured; callers\n// should treat that as a no-op rather than an error.\nfunc ReceiveNats(ms *MemoryStore,\n\tworkers int,\n\tctx context.Context,\n) error {\n\tnc := nats.GetClient()\n\n\tif nc == nil {\n\t\tcclog.Warn(\"NATS client not initialized\")\n\t\treturn nil\n\t}\n\n\tvar wg sync.WaitGroup\n\tmsgs := make(chan []byte, max(workers*256, 8192))\n\n\tfor _, sc := range *Keys.Subscriptions {\n\t\tclusterTag := sc.ClusterTag\n\t\tif workers > 1 {\n\t\t\twg.Add(workers)\n\n\t\t\tfor range workers {\n\t\t\t\tgo func() {\n\t\t\t\t\tdefer wg.Done()\n\t\t\t\t\tfor m := range msgs {\n\t\t\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(m)\n\t\t\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}()\n\t\t\t}\n\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tselect {\n\t\t\t\tcase msgs <- data:\n\t\t\t\tcase <-ctx.Done():\n\t\t\t\t}\n\t\t\t})\n\t\t} else {\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(data)\n\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\t\tcclog.Infof(\"NATS subscription to '%s' established\", sc.SubscribeTo)\n\t}\n\n\tgo func() {\n\t\t<-ctx.Done()\n\t\tclose(msgs)\n\t}()\n\n\twg.Wait()\n\n\treturn nil\n}\n\n// reorder prepends prefix to buf in-place when buf has enough spare capacity,\n// avoiding an allocation. Falls back to a regular append otherwise.\n//\n// It is used to assemble the \"type<type-id>\" and \"subtype<stype-id>\" selector\n// strings when the type tag arrives before the type-id tag in the line, so the\n// two byte slices need to be concatenated in tag-declaration order regardless\n// of wire order.\nfunc reorder(buf, prefix []byte) []byte {\n\tn := len(prefix)\n\tm := len(buf)\n\tif cap(buf) < m+n {\n\t\treturn append(prefix[:n:n], buf...)\n\t} else {\n\t\tbuf = buf[:n+m]\n\t\tfor i := m - 1; i >= 0; i-- {\n\t\t\tbuf[i+n] = buf[i]\n\t\t}\n\t\tfor i := range n {\n\t\t\tbuf[i] = prefix[i]\n\t\t}\n\t\treturn buf\n\t}\n}\n\n// walDropped counts WAL messages dropped due to a full channel.\n// Logged periodically; not critical since binary snapshots capture the data.\nvar walDropped atomic.Int64\n\n// decodeState holds the per-call scratch buffers used by DecodeLine.\n// Instances are recycled via decodeStatePool to avoid repeated allocations\n// during high-throughput ingestion.\ntype decodeState struct {\n\t// metricBuf holds a copy of the current measurement name (line-protocol\n\t// measurement field). Copied because dec.Measurement() returns a slice\n\t// that is invalidated by the next decoder call.\n\tmetricBuf []byte\n\n\t// selector is the sub-device path passed to WriteToLevel and WALMessage\n\t// (e.g. [\"socket0\"] or [\"socket0\", \"memctrl1\"]). Reused across lines.\n\tselector []string\n\n\t// typeBuf accumulates the concatenated \"type\"+\"type-id\" tag value for the\n\t// current line. Reset at the start of each line's tag-decode loop.\n\ttypeBuf []byte\n\n\t// subTypeBuf accumulates the concatenated \"subtype\"+\"stype-id\" tag value.\n\t// Reset at the start of each line's tag-decode loop.\n\tsubTypeBuf []byte\n\n\t// prevTypeBytes / prevTypeStr cache the last seen typeBuf content and its\n\t// string conversion. Because consecutive lines in a batch typically address\n\t// the same sub-device, the cache hit rate is very high and avoids\n\t// repeated []byte→string allocations.\n\tprevTypeBytes []byte\n\tprevTypeStr   string\n\n\t// prevSubTypeBytes / prevSubTypeStr are the same cache for the subtype.\n\tprevSubTypeBytes []byte\n\tprevSubTypeStr   string\n}\n\n// decodeStatePool recycles decodeState values across DecodeLine calls to\n// reduce GC pressure during sustained metric ingestion.\nvar decodeStatePool = sync.Pool{\n\tNew: func() any {\n\t\treturn &decodeState{\n\t\t\tmetricBuf:  make([]byte, 0, 16),\n\t\t\tselector:   make([]string, 0, 4),\n\t\t\ttypeBuf:    make([]byte, 0, 16),\n\t\t\tsubTypeBuf: make([]byte, 0, 16),\n\t\t}\n\t},\n}\n\n// DecodeLine reads all lines from dec (InfluxDB line-protocol) and writes each\n// decoded metric sample into ms.\n//\n// clusterDefault is used as the cluster name for lines that do not carry a\n// \"cluster\" tag. Callers typically supply the ClusterTag value from the NATS\n// subscription configuration.\n//\n// Performance notes:\n//   - A decodeState is obtained from decodeStatePool to reuse scratch buffers.\n//   - The Level pointer (host-level node in the metric tree) is cached across\n//     consecutive lines that share the same cluster+host pair to avoid\n//     repeated lock acquisitions on the root and cluster levels.\n//   - []byte→string conversions for type/subtype selectors are cached via\n//     prevType*/prevSubType* fields because batches typically repeat the same\n//     sub-device identifiers.\n//   - Timestamp parsing tries Second precision first; if that fails it retries\n//     Millisecond, Microsecond, and Nanosecond in turn. A missing timestamp\n//     falls back to time.Now().\n//\n// When the checkpoint format is \"wal\" each successfully decoded sample is also\n// sent to WALMessages so the WAL staging goroutine can persist it durably\n// before the next binary snapshot.\nfunc DecodeLine(dec *lineprotocol.Decoder,\n\tms *MemoryStore,\n\tclusterDefault string,\n) error {\n\t// Reduce allocations in loop:\n\tt := time.Now()\n\tmetric := Metric{}\n\tst := decodeStatePool.Get().(*decodeState)\n\tdefer decodeStatePool.Put(st)\n\n\t// Optimize for the case where all lines in a \"batch\" are about the same\n\t// cluster and host. By using `WriteToLevel` (level = host), we do not need\n\t// to take the root- and cluster-level lock as often.\n\tvar lvl *Level = nil\n\tprevCluster, prevHost := \"\", \"\"\n\n\tvar ok bool\n\tfor dec.Next() {\n\t\trawmeasurement, err := dec.Measurement()\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\t// Needs to be copied because another call to dec.* would\n\t\t// invalidate the returned slice.\n\t\tst.metricBuf = append(st.metricBuf[:0], rawmeasurement...)\n\n\t\t// The go compiler optimizes map[string(byteslice)] lookups:\n\t\tmetric.MetricConfig, ok = ms.Metrics[string(rawmeasurement)]\n\t\tif !ok {\n\t\t\tcontinue\n\t\t}\n\n\t\tst.typeBuf, st.subTypeBuf = st.typeBuf[:0], st.subTypeBuf[:0]\n\t\tcluster, host := clusterDefault, \"\"\n\t\tfor {\n\t\t\tkey, val, err := dec.NextTag()\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tif key == nil {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\t// The go compiler optimizes string([]byte{...}) == \"...\":\n\t\t\tswitch string(key) {\n\t\t\tcase \"cluster\":\n\t\t\t\tif string(val) == prevCluster {\n\t\t\t\t\tcluster = prevCluster\n\t\t\t\t} else {\n\t\t\t\t\tcluster = string(val)\n\t\t\t\t\tlvl = nil\n\t\t\t\t}\n\t\t\tcase \"hostname\", \"host\":\n\t\t\t\tif string(val) == prevHost {\n\t\t\t\t\thost = prevHost\n\t\t\t\t} else {\n\t\t\t\t\thost = string(val)\n\t\t\t\t\tlvl = nil\n\t\t\t\t}\n\t\t\tcase \"type\":\n\t\t\t\tif string(val) == \"node\" {\n\t\t\t\t\tbreak\n\t\t\t\t}\n\n\t\t\t\t// We cannot be sure that the \"type\" tag comes before the \"type-id\" tag:\n\t\t\t\tif len(st.typeBuf) == 0 {\n\t\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n\t\t\t\t} else {\n\t\t\t\t\tst.typeBuf = reorder(st.typeBuf, val)\n\t\t\t\t}\n\t\t\tcase \"type-id\":\n\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n\t\t\tcase \"subtype\":\n\t\t\t\t// We cannot be sure that the \"subtype\" tag comes before the \"stype-id\" tag:\n\t\t\t\tif len(st.subTypeBuf) == 0 {\n\t\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n\t\t\t\t} else {\n\t\t\t\t\tst.subTypeBuf = reorder(st.subTypeBuf, val)\n\t\t\t\t}\n\t\t\tcase \"stype-id\":\n\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n\t\t\tdefault:\n\t\t\t}\n\t\t}\n\n\t\t// If the cluster or host changed, the lvl was set to nil\n\t\tif lvl == nil {\n\t\t\tst.selector = st.selector[:2]\n\t\t\tst.selector[0], st.selector[1] = cluster, host\n\t\t\tlvl = ms.GetLevel(st.selector)\n\t\t\tprevCluster, prevHost = cluster, host\n\t\t}\n\n\t\t// subtypes: cache []byte→string conversions; messages in a batch typically\n\t\t// share the same type/subtype so the hit rate is very high.\n\t\tst.selector = st.selector[:0]\n\t\tif len(st.typeBuf) > 0 {\n\t\t\tif !bytes.Equal(st.typeBuf, st.prevTypeBytes) {\n\t\t\t\tst.prevTypeBytes = append(st.prevTypeBytes[:0], st.typeBuf...)\n\t\t\t\tst.prevTypeStr = string(st.typeBuf)\n\t\t\t}\n\t\t\tst.selector = append(st.selector, st.prevTypeStr)\n\t\t\tif len(st.subTypeBuf) > 0 {\n\t\t\t\tif !bytes.Equal(st.subTypeBuf, st.prevSubTypeBytes) {\n\t\t\t\t\tst.prevSubTypeBytes = append(st.prevSubTypeBytes[:0], st.subTypeBuf...)\n\t\t\t\t\tst.prevSubTypeStr = string(st.subTypeBuf)\n\t\t\t\t}\n\t\t\t\tst.selector = append(st.selector, st.prevSubTypeStr)\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tkey, val, err := dec.NextField()\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tif key == nil {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\tif string(key) != \"value\" {\n\t\t\t\treturn fmt.Errorf(\"host %s: unknown field: '%s' (value: %#v)\", host, string(key), val)\n\t\t\t}\n\n\t\t\tif val.Kind() == lineprotocol.Float {\n\t\t\t\tmetric.Value = schema.Float(val.FloatV())\n\t\t\t} else if val.Kind() == lineprotocol.Int {\n\t\t\t\tmetric.Value = schema.Float(val.IntV())\n\t\t\t} else if val.Kind() == lineprotocol.Uint {\n\t\t\t\tmetric.Value = schema.Float(val.UintV())\n\t\t\t} else {\n\t\t\t\treturn fmt.Errorf(\"host %s: unsupported value type in message: %s\", host, val.Kind().String())\n\t\t\t}\n\t\t}\n\n\t\tif t, err = dec.Time(lineprotocol.Second, t); err != nil {\n\t\t\tt = time.Now()\n\t\t\tif t, err = dec.Time(lineprotocol.Millisecond, t); err != nil {\n\t\t\t\tt = time.Now()\n\t\t\t\tif t, err = dec.Time(lineprotocol.Microsecond, t); err != nil {\n\t\t\t\t\tt = time.Now()\n\t\t\t\t\tif t, err = dec.Time(lineprotocol.Nanosecond, t); err != nil {\n\t\t\t\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n\t\t}\n\n\t\ttime := t.Unix()\n\n\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\t\tmsg := &WALMessage{\n\t\t\t\tMetricName: string(st.metricBuf),\n\t\t\t\tCluster:    cluster,\n\t\t\t\tNode:       host,\n\t\t\t\tSelector:   append([]string{}, st.selector...),\n\t\t\t\tValue:      metric.Value,\n\t\t\t\tTimestamp:  time,\n\t\t\t}\n\t\t\tselect {\n\t\t\tcase WALMessages <- msg:\n\t\t\tdefault:\n\t\t\t\t// WAL channel full — metric is written to memory store but not WAL.\n\t\t\t\t// Next binary snapshot will capture it.\n\t\t\t\tif dropped := walDropped.Add(1); dropped%10000 == 1 {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> WAL channel full, dropped %d messages (data safe in memory, next snapshot will capture)\", dropped)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n\t\t\tcclog.Warnf(\"write error for host %s metric %s at ts %d: %s\", host, string(st.metricBuf), time, err.Error())\n\t\t\tcontinue\n\t\t}\n\t}\n\treturn nil\n}\n","structuredPatch":[{"oldStart":361,"oldLines":13,"newStart":361,"newLines":11,"lines":["         Value:      metric.Value,","         Timestamp:  time,","       }","-      select {","-      case WALMessages <- msg:","-      default:","-        // WAL channel full — metric is written to memory store but not WAL.","+      if !SendWALMessage(msg) {","+        // WAL shard channel full — metric is written to memory store but not WAL.","         // Next binary snapshot will capture it.","         if dropped := walDropped.Add(1); dropped%10000 == 1 {","-          cclog.Warnf(\"[METRICSTORE]> WAL channel full, dropped %d messages (data safe in memory, next snapshot will capture)\", dropped)","+          cclog.Warnf(\"[METRICSTORE]> WAL shard channel full, dropped %d messages (data safe in memory, next snapshot will capture)\", dropped)","         }","       }","     }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"72101529-3598-4ee8-81de-3e5f77a78e1e","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"69e6c8e8-7232-4b5e-8bdc-1ac294f4b8b0","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0122MLmJz5tkKNim7d6KYZQH","type":"message","role":"assistant","content":[{"type":"text","text":"Now update `Shutdown` in `metricstore.go` to close all shard channels:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":625,"cache_read_input_tokens":55199,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":625},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ9zmsfCJwR6BxpUYNn4p","type":"assistant","uuid":"7ab452d8-ff08-4279-8409-ec7baa91a7e0","timestamp":"2026-03-18T05:31:04.230Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"type":"file-history-snapshot","messageId":"017c0be7-76a0-498d-9354-21ea8abfce53","snapshot":{"messageId":"e61b6d31-15d1-4b25-a4d5-dc4c0ddd1260","trackedFileBackups":{"pkg/metricstore/walCheckpoint.go":{"backupFileName":"f5b5b4bac0274f50@v1","version":1,"backupTime":"2026-03-18T05:29:45.041Z"},"pkg/metricstore/lineprotocol.go":{"backupFileName":"90dc6599471442f6@v1","version":1,"backupTime":"2026-03-18T05:31:02.178Z"},"pkg/metricstore/metricstore.go":{"backupFileName":"9d6c8b589b687438@v1","version":1,"backupTime":"2026-03-18T05:31:05.554Z"}},"timestamp":"2026-03-18T05:29:19.393Z"},"isSnapshotUpdate":true}
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+{"parentUuid":"017c0be7-76a0-498d-9354-21ea8abfce53","isSidechain":false,"promptId":"53f7aeff-f280-4fa6-a195-55ff40087d7e","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EodQprLiM3RCyDobMT3d1u","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go has been updated successfully."}]},"uuid":"59ac1522-b87a-45f0-87b8-93fb72fd6a78","timestamp":"2026-03-18T05:31:05.557Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go","oldString":"\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tclose(WALMessages)\n\t}","newString":"\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tfor _, ch := range walShardChs {\n\t\t\tclose(ch)\n\t\t}\n\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides an efficient in-memory time-series metric storage system\n// with support for hierarchical data organization, checkpointing, and archiving.\n//\n// The package organizes metrics in a tree structure (cluster → host → component) and\n// provides concurrent read/write access to metric data with configurable aggregation strategies.\n// Background goroutines handle periodic checkpointing (JSON or Avro format), archiving old data,\n// and enforcing retention policies.\n//\n// Key features:\n//   - In-memory metric storage with configurable retention\n//   - Hierarchical data organization (selectors)\n//   - Concurrent checkpoint/archive workers\n//   - Support for sum and average aggregation\n//   - NATS integration for metric ingestion\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"runtime\"\n\t\"runtime/debug\"\n\t\"slices\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// GlobalState holds the global state for the metric store with thread-safe access.\ntype GlobalState struct {\n\tmu                sync.RWMutex\n\tlastRetentionTime int64\n\tselectorsExcluded bool\n}\n\nvar (\n\tsingleton  sync.Once\n\tmsInstance *MemoryStore\n\t// shutdownFunc stores the context cancellation function created in Init\n\t// and is called during Shutdown to cancel all background goroutines\n\tshutdownFunc   context.CancelFunc\n\tshutdownFuncMu sync.Mutex // Protects shutdownFunc from concurrent access\n\t// Create a global instance\n\tstate = &GlobalState{}\n)\n\n// NodeProvider provides information about nodes currently in use by running jobs.\n//\n// This interface allows metricstore to query job information without directly\n// depending on the repository package, breaking the import cycle.\n//\n// Implementations should return nodes that are actively processing jobs started\n// before the given timestamp. These nodes will be excluded from retention-based\n// garbage collection to prevent data loss for jobs that are still running or\n// recently completed.\ntype NodeProvider interface {\n\t// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n\t// that are currently in use by jobs that started before the given timestamp.\n\t//\n\t// Parameters:\n\t//   - ts: Unix timestamp threshold - returns nodes with jobs started before this time\n\t//\n\t// Returns:\n\t//   - Map of cluster names to lists of node hostnames that should be excluded from garbage collection\n\t//   - Error if the query fails\n\tGetUsedNodes(ts int64) (map[string][]string, error)\n}\n\n// Metric represents a single metric data point to be written to the store.\ntype Metric struct {\n\tName  string\n\tValue schema.Float\n\t// MetricConfig contains frequency and aggregation settings for this metric.\n\t// If Frequency is 0, configuration will be looked up from MemoryStore.Metrics during Write().\n\tMetricConfig MetricConfig\n}\n\n// MemoryStore is the main in-memory time-series metric storage implementation.\n//\n// It organizes metrics in a hierarchical tree structure where each level represents\n// a component of the system hierarchy (e.g., cluster → host → CPU). Each level can\n// store multiple metrics as time-series buffers.\n//\n// The store is initialized as a singleton via InitMetrics() and accessed via GetMemoryStore().\n// All public methods are safe for concurrent use.\ntype MemoryStore struct {\n\tMetrics      map[string]MetricConfig\n\troot         Level\n\tnodeProvider NodeProvider\n}\n\n// Init initializes the metric store from configuration and starts background workers.\n//\n// This function must be called exactly once before any other metricstore operations.\n// It performs the following initialization steps:\n//  1. Validates and decodes the metric store configuration\n//  2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n//  3. Loads metric configurations from all registered clusters\n//  4. Restores checkpoints within the retention window\n//  5. Starts background workers for retention, checkpointing, archiving, and monitoring\n//  6. Optionally subscribes to NATS for real-time metric ingestion\n//\n// Parameters:\n//   - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n//   - wg: WaitGroup that will be incremented for each background goroutine started\n//\n// The function will call cclog.Fatal on critical errors during initialization.\n// Use Shutdown() to cleanly stop all background workers started by Init().\n//\n// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n// receiving termination signals to ensure checkpoint data is persisted.\nfunc Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n\tstartupTime := time.Now()\n\n\tif rawConfig != nil {\n\t\tconfig.Validate(configSchema, rawConfig)\n\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n\t\tdec.DisallowUnknownFields()\n\t\tif err := dec.Decode(&Keys); err != nil {\n\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n\t\t}\n\t}\n\n\t// Set NumWorkers from config or use default\n\tif Keys.NumWorkers <= 0 {\n\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n\t}\n\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n\n\t// Pass the config.MetricStoreKeys\n\tInitMetrics(metrics)\n\n\tms := GetMemoryStore()\n\n\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\tif err != nil {\n\t\tcclog.Fatal(err)\n\t}\n\n\trestoreFrom := startupTime.Add(-d)\n\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n\tif err != nil {\n\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n\t} else {\n\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n\t}\n\n\t// Try to use less memory by forcing a GC run here and then\n\t// lowering the target percentage. The default of 100 means\n\t// that only once the ratio of new allocations execeds the\n\t// previously active heap, a GC is triggered.\n\t// Forcing a GC here will set the \"previously active heap\"\n\t// to a minumum.\n\t// runtime.GC()\n\n\tctx, shutdown := context.WithCancel(context.Background())\n\n\tRetention(wg, ctx)\n\tCheckpointing(wg, ctx)\n\tCleanUp(wg, ctx)\n\tWALStaging(wg, ctx)\n\tMemoryUsageTracker(wg, ctx)\n\n\t// Note: Signal handling has been removed from this function.\n\t// The caller is responsible for handling shutdown signals and calling\n\t// the shutdown() function when appropriate.\n\t// Store the shutdown function for later use by Shutdown()\n\tshutdownFuncMu.Lock()\n\tshutdownFunc = shutdown\n\tshutdownFuncMu.Unlock()\n\n\tif Keys.Subscriptions != nil {\n\t\terr = ReceiveNats(ms, Keys.NumWorkers, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t}\n}\n\n// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n//\n// This function must be called before GetMemoryStore() and can only be called once due to\n// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n//\n// Parameters:\n//   - metrics: Map of metric names to their configurations (frequency and aggregation strategy)\n//\n// Panics if any metric has Frequency == 0, which indicates an invalid configuration.\n//\n// After this call, the global msInstance is ready for use via GetMemoryStore().\nfunc InitMetrics(metrics map[string]MetricConfig) {\n\tsingleton.Do(func() {\n\t\toffset := 0\n\t\tfor key, cfg := range metrics {\n\t\t\tif cfg.Frequency == 0 {\n\t\t\t\tpanic(\"[METRICSTORE]> invalid frequency\")\n\t\t\t}\n\n\t\t\tmetrics[key] = MetricConfig{\n\t\t\t\tFrequency:   cfg.Frequency,\n\t\t\t\tAggregation: cfg.Aggregation,\n\t\t\t\toffset:      offset,\n\t\t\t}\n\t\t\toffset += 1\n\t\t}\n\n\t\tmsInstance = &MemoryStore{\n\t\t\troot: Level{\n\t\t\t\tmetrics:  make([]*buffer, len(metrics)),\n\t\t\t\tchildren: make(map[string]*Level),\n\t\t\t},\n\t\t\tMetrics: metrics,\n\t\t}\n\t})\n}\n\n// GetMemoryStore returns the singleton MemoryStore instance.\n//\n// Returns the initialized MemoryStore singleton. Calls cclog.Fatal if InitMetrics() was not called first.\n//\n// This function is safe for concurrent use after initialization.\nfunc GetMemoryStore() *MemoryStore {\n\tif msInstance == nil {\n\t\tcclog.Warnf(\"[METRICSTORE]> MemoryStore not initialized!\")\n\t}\n\n\treturn msInstance\n}\n\nfunc (ms *MemoryStore) GetMetricFrequency(metricName string) (int64, error) {\n\tif metric, ok := ms.Metrics[metricName]; ok {\n\t\treturn metric.Frequency, nil\n\t}\n\treturn 0, fmt.Errorf(\"[METRICSTORE]> metric %s not found\", metricName)\n}\n\n// SetNodeProvider sets the NodeProvider implementation for the MemoryStore.\n// This must be called during initialization to provide job state information\n// for selective buffer retention during Free operations.\n// If not set, the Free function will fall back to freeing all buffers.\nfunc (ms *MemoryStore) SetNodeProvider(provider NodeProvider) {\n\tms.nodeProvider = provider\n}\n\n// Shutdown performs a graceful shutdown of the metric store.\n//\n// This function cancels all background goroutines started by Init() and writes\n// a final checkpoint to disk before returning. It should be called when the\n// application receives a termination signal.\n//\n// The function will:\n//  1. Cancel the context to stop all background workers\n//  2. Close the WAL messages channel if using WAL format\n//  3. Write a final checkpoint to preserve in-memory data\n//  4. Log any errors encountered during shutdown\n//\n// Note: This function blocks until the final checkpoint is written.\nfunc Shutdown() {\n\tshutdownFuncMu.Lock()\n\tdefer shutdownFuncMu.Unlock()\n\tif shutdownFunc != nil {\n\t\tshutdownFunc()\n\t}\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tclose(WALMessages)\n\t}\n\n\tcclog.Infof(\"[METRICSTORE]> Writing to '%s'...\\n\", Keys.Checkpoints.RootDir)\n\tvar files int\n\tvar err error\n\n\tms := GetMemoryStore()\n\n\tlastCheckpointMu.Lock()\n\tfrom := lastCheckpoint\n\tlastCheckpointMu.Unlock()\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tvar hostDirs []string\n\t\tfiles, hostDirs, err = ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t\tif err == nil {\n\t\t\tRotateWALFilesAfterShutdown(hostDirs)\n\t\t}\n\t} else {\n\t\tfiles, err = ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t}\n\n\tif err != nil {\n\t\tcclog.Errorf(\"[METRICSTORE]> Writing checkpoint failed: %s\\n\", err.Error())\n\t}\n\tcclog.Infof(\"[METRICSTORE]> Done! (%d files written)\\n\", files)\n}\n\n// Retention starts a background goroutine that periodically frees old metric data.\n//\n// This worker runs at half the retention interval and calls Free() to remove buffers\n// older than the configured retention time. It respects the NodeProvider to preserve\n// data for nodes with active jobs.\n//\n// Parameters:\n//   - wg: WaitGroup to signal completion when context is cancelled\n//   - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc Retention(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\ttickInterval := d / 2\n\t\tif tickInterval <= 0 {\n\t\t\treturn\n\t\t}\n\t\tticker := time.NewTicker(tickInterval)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tstate.mu.Lock()\n\n\t\t\t\tt := time.Now().Add(-d)\n\n\t\t\t\tstate.lastRetentionTime = t.Unix()\n\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start freeing buffers (older than %s)...\\n\", t.Format(time.RFC3339))\n\n\t\t\t\tfreed, err := Free(ms, t)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> freeing up buffers failed: %s\\n\", err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d buffers freed\\n\", freed)\n\t\t\t\t}\n\n\t\t\t\tstate.mu.Unlock()\n\n\t\t\t\t// Clean up the buffer pool\n\t\t\t\tbufferPool.Clean(state.lastRetentionTime)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// MemoryUsageTracker starts a background goroutine that monitors memory usage.\n//\n// This worker checks actual process memory usage (via runtime.MemStats) periodically\n// and force-frees buffers if memory exceeds the configured cap. It uses FreeOSMemory()\n// to return memory to the OS after freeing buffers, avoiding aggressive GC that causes\n// performance issues.\n//\n// The tracker logs both actual memory usage (heap allocated) and metric data size for\n// visibility into memory overhead from Go runtime structures and allocations.\n//\n// Parameters:\n//   - wg: WaitGroup to signal completion when context is cancelled\n//   - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n\t\tfastInterval := 30 * time.Second\n\n\t\tif normalInterval <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(normalInterval)\n\t\tdefer ticker.Stop()\n\t\tcurrentInterval := normalInterval\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tvar mem runtime.MemStats\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n\t\t\t\tmetricDataGB := ms.SizeInGB()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n\n\t\t\t\tfreedExcluded := 0\n\t\t\t\tfreedEmergency := 0\n\t\t\t\tvar err error\n\n\t\t\t\tstate.mu.RLock()\n\t\t\t\tlastRetention := state.lastRetentionTime\n\t\t\t\tselectorsExcluded := state.selectorsExcluded\n\t\t\t\tstate.mu.RUnlock()\n\n\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n\t\t\t\t\t}\n\n\t\t\t\t\tif freedExcluded > 0 {\n\t\t\t\t\t\tdebug.FreeOSMemory()\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n\n\t\t\t\t\t// Use progressive time-based Free with increasing threshold\n\t\t\t\t\t// instead of ForceFree loop — fewer tree traversals, more effective\n\t\t\t\t\td, parseErr := time.ParseDuration(Keys.RetentionInMemory)\n\t\t\t\t\tif parseErr != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> cannot parse retention duration: %s\", parseErr)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tthresholds := []float64{0.75, 0.5, 0.25}\n\t\t\t\t\t\tfor _, fraction := range thresholds {\n\t\t\t\t\t\t\tthreshold := time.Now().Add(-time.Duration(float64(d) * fraction))\n\t\t\t\t\t\t\tfreed, freeErr := ms.Free(nil, threshold.Unix())\n\t\t\t\t\t\t\tif freeErr != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s\", fraction*100, freeErr)\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tfreedEmergency += freed\n\n\t\t\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\t\t\truntime.GC()\n\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n\t\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\tdebug.FreeOSMemory()\n\n\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after emergency frees (%d buffers), memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\t// Adaptive ticker: check more frequently when memory is high\n\t\t\t\tmemoryRatio := actualMemoryGB / float64(Keys.MemoryCap)\n\t\t\t\tif memoryRatio > 0.8 && currentInterval != fastInterval {\n\t\t\t\t\tticker.Reset(fastInterval)\n\t\t\t\t\tcurrentInterval = fastInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)\", memoryRatio*100)\n\t\t\t\t} else if memoryRatio <= 0.8 && currentInterval != normalInterval {\n\t\t\t\t\tticker.Reset(normalInterval)\n\t\t\t\t\tcurrentInterval = normalInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval\", memoryRatio*100)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\n// Free removes metric data older than the given time while preserving data for active nodes.\n//\n// This function implements intelligent retention by consulting the NodeProvider (if configured)\n// to determine which nodes are currently in use by running jobs. Data for these nodes is\n// preserved even if older than the retention time.\n//\n// Parameters:\n//   - ms: The MemoryStore instance\n//   - t: Time threshold - buffers with data older than this will be freed\n//\n// Returns:\n//   - Number of buffers freed\n//   - Error if NodeProvider query fails\n//\n// Behavior:\n//   - If no NodeProvider is set: frees all buffers older than t\n//   - If NodeProvider returns empty map: frees all buffers older than t\n//   - Otherwise: preserves buffers for nodes returned by GetUsedNodes(), frees others\nfunc Free(ms *MemoryStore, t time.Time) (int, error) {\n\t// If no NodeProvider is configured, free all buffers older than t\n\tif ms.nodeProvider == nil {\n\t\treturn ms.Free(nil, t.Unix())\n\t}\n\n\texcludeSelectors, err := ms.nodeProvider.GetUsedNodes(t.Unix())\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\tswitch lenMap := len(excludeSelectors); lenMap {\n\n\t// If the length of the map returned by GetUsedNodes() is 0,\n\t// then use default Free method with nil selector\n\tcase 0:\n\t\tstate.selectorsExcluded = false\n\t\treturn ms.Free(nil, t.Unix())\n\n\t// Else formulate selectors, exclude those from the map\n\t// and free the rest of the selectors\n\tdefault:\n\t\tstate.selectorsExcluded = true\n\t\tselectors := GetSelectors(ms, excludeSelectors)\n\t\treturn FreeSelected(ms, selectors, t)\n\t}\n}\n\n// FreeSelected frees buffers for specific selectors while preserving others.\n//\n// This function is used when we want to retain some specific nodes beyond the retention time.\n// It iterates through the provided selectors and frees their associated buffers.\n//\n// Parameters:\n//   - ms: The MemoryStore instance\n//   - selectors: List of selector paths to free (e.g., [[\"cluster1\", \"node1\"], [\"cluster2\", \"node2\"]])\n//   - t: Time threshold for freeing buffers\n//\n// Returns the total number of buffers freed and any error encountered.\nfunc FreeSelected(ms *MemoryStore, selectors [][]string, t time.Time) (int, error) {\n\tfreed := 0\n\n\tfor _, selector := range selectors {\n\n\t\tfreedBuffers, err := ms.Free(selector, t.Unix())\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"error while freeing selected buffers: %#v\", err)\n\t\t}\n\t\tfreed += freedBuffers\n\n\t}\n\n\treturn freed, nil\n}\n\n// GetSelectors returns all selectors at depth 2 (cluster/node level) that are NOT in the exclusion map.\n//\n// This function generates a list of selectors whose buffers should be freed by excluding\n// selectors that correspond to nodes currently in use by running jobs.\n//\n// Parameters:\n//   - ms: The MemoryStore instance\n//   - excludeSelectors: Map of cluster names to node hostnames that should NOT be freed\n//\n// Returns a list of selectors ([]string paths) that can be safely freed.\n//\n// Example:\n//\n//\tIf the tree has paths [\"emmy\", \"node001\"] and [\"emmy\", \"node002\"],\n//\tand excludeSelectors contains {\"emmy\": [\"node001\"]},\n//\tthen only [[\"emmy\", \"node002\"]] is returned.\nfunc GetSelectors(ms *MemoryStore, excludeSelectors map[string][]string) [][]string {\n\tallSelectors := ms.GetPaths(2)\n\n\tfilteredSelectors := make([][]string, 0, len(allSelectors))\n\n\tfor _, path := range allSelectors {\n\t\tif len(path) < 2 {\n\t\t\tcontinue\n\t\t}\n\n\t\tkey := path[0]   // The \"Key\" (Level 1)\n\t\tvalue := path[1] // The \"Value\" (Level 2)\n\n\t\texclude := false\n\n\t\t// Check if the key exists in our exclusion map\n\t\tif excludedValues, exists := excludeSelectors[key]; exists {\n\t\t\t// The key exists, now check if the specific value is in the exclusion list\n\t\t\tif slices.Contains(excludedValues, value) {\n\t\t\t\texclude = true\n\t\t\t}\n\t\t}\n\n\t\tif !exclude {\n\t\t\tfilteredSelectors = append(filteredSelectors, path)\n\t\t}\n\t}\n\n\treturn filteredSelectors\n}\n\n// GetPaths returns a list of lists (paths) to the specified depth.\nfunc (ms *MemoryStore) GetPaths(targetDepth int) [][]string {\n\tvar results [][]string\n\n\t// Start recursion. Initial path is empty.\n\t// We treat Root as depth 0.\n\tms.root.collectPaths(0, targetDepth, []string{}, &results)\n\n\treturn results\n}\n\n// Write all values in `metrics` to the level specified by `selector` for time `ts`.\n// Look at `findLevelOrCreate` for how selectors work.\nfunc (m *MemoryStore) Write(selector []string, ts int64, metrics []Metric) error {\n\tvar ok bool\n\tfor i, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tmetric.MetricConfig, ok = m.Metrics[metric.Name]\n\t\t\tif !ok {\n\t\t\t\tcclog.Debugf(\"[METRICSTORE]> Unknown metric '%s' in Write() - skipping\", metric.Name)\n\t\t\t\tmetric.MetricConfig.Frequency = 0\n\t\t\t}\n\t\t\tmetrics[i] = metric\n\t\t}\n\t}\n\n\treturn m.WriteToLevel(&m.root, selector, ts, metrics)\n}\n\nfunc (m *MemoryStore) GetLevel(selector []string) *Level {\n\treturn m.root.findLevelOrCreate(selector, len(m.Metrics))\n}\n\n// WriteToLevel assumes that `minfo` in `metrics` is filled in\nfunc (m *MemoryStore) WriteToLevel(l *Level, selector []string, ts int64, metrics []Metric) error {\n\tl = l.findLevelOrCreate(selector, len(m.Metrics))\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tfor _, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tcontinue\n\t\t}\n\n\t\tb := l.metrics[metric.MetricConfig.offset]\n\t\tif b == nil {\n\t\t\t// First write to this metric and level\n\t\t\tb = newBuffer(ts, metric.MetricConfig.Frequency)\n\t\t\tl.metrics[metric.MetricConfig.offset] = b\n\t\t}\n\n\t\tnb, err := b.write(ts, metric.Value)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\t// Last write created a new buffer...\n\t\tif b != nb {\n\t\t\tl.metrics[metric.MetricConfig.offset] = nb\n\t\t}\n\t}\n\treturn nil\n}\n\n// Read returns all values for metric `metric` from `from` to `to` for the selected level(s).\n// If the level does not hold the metric itself, the data will be aggregated recursively from the children.\n// The second and third return value are the actual from/to for the data. Those can be different from\n// the range asked for if no data was available.\nfunc (m *MemoryStore) Read(selector util.Selector, metric string, from, to, resolution int64) ([]schema.Float, int64, int64, int64, error) {\n\tif from > to {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid time range\")\n\t}\n\n\tminfo, ok := m.Metrics[metric]\n\tif !ok {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> unknown metric: \" + metric)\n\t}\n\n\tn, data := 0, make([]schema.Float, (to-from)/minfo.Frequency+1)\n\n\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n\t\tcdata, cfrom, cto, err := b.read(from, to, data)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif n == 0 {\n\t\t\tfrom, to = cfrom, cto\n\t\t} else if from != cfrom || to != cto || len(data) != len(cdata) {\n\t\t\tmissingfront, missingback := int((from-cfrom)/minfo.Frequency), int((to-cto)/minfo.Frequency)\n\t\t\tif missingfront != 0 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tnewlen := len(cdata) - missingback\n\t\t\tif newlen < 1 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\t\t\tcdata = cdata[0:newlen]\n\t\t\tif len(cdata) != len(data) {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tfrom, to = cfrom, cto\n\t\t}\n\n\t\tdata = cdata\n\t\tn += 1\n\t\treturn nil\n\t})\n\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t} else if n == 0 {\n\t\treturn nil, 0, 0, 0, ErrNoHostOrMetric\n\t} else if n > 1 {\n\t\tif minfo.Aggregation == AvgAggregation {\n\t\t\tnormalize := 1. / schema.Float(n)\n\t\t\tfor i := 0; i < len(data); i++ {\n\t\t\t\tdata[i] *= normalize\n\t\t\t}\n\t\t} else if minfo.Aggregation != SumAggregation {\n\t\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid aggregation\")\n\t\t}\n\t}\n\n\tdata, resolution, err = resampler.LargestTriangleThreeBucket(data, minfo.Frequency, resolution)\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t}\n\n\treturn data, from, to, resolution, nil\n}\n\n// Free releases all buffers for the selected level and all its children that\n// contain only values older than `t`.\nfunc (m *MemoryStore) Free(selector []string, t int64) (int, error) {\n\treturn m.GetLevel(selector).free(t)\n}\n\n// ForceFree unconditionally removes the oldest buffer from each metric chain.\nfunc (m *MemoryStore) ForceFree() (int, error) {\n\treturn m.GetLevel(nil).forceFree()\n}\n\nfunc (m *MemoryStore) FreeAll() error {\n\tm.root.lock.Lock()\n\tdefer m.root.lock.Unlock()\n\n\tfor k := range m.root.children {\n\t\tdelete(m.root.children, k)\n\t}\n\n\treturn nil\n}\n\nfunc (m *MemoryStore) SizeInBytes() int64 {\n\treturn m.root.sizeInBytes()\n}\n\nfunc (m *MemoryStore) SizeInGB() float64 {\n\treturn float64(m.root.sizeInBytes()) / 1e9\n}\n\n// ListChildren , given a selector, returns a list of all children of the level\n// selected.\nfunc (m *MemoryStore) ListChildren(selector []string) []string {\n\tlvl := &m.root\n\tfor lvl != nil && len(selector) != 0 {\n\t\tlvl.lock.RLock()\n\t\tnext := lvl.children[selector[0]]\n\t\tlvl.lock.RUnlock()\n\t\tlvl = next\n\t\tselector = selector[1:]\n\t}\n\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\tlvl.lock.RLock()\n\tdefer lvl.lock.RUnlock()\n\n\tchildren := make([]string, 0, len(lvl.children))\n\tfor child := range lvl.children {\n\t\tchildren = append(children, child)\n\t}\n\n\treturn children\n}\n","structuredPatch":[{"oldStart":277,"oldLines":7,"newStart":277,"newLines":9,"lines":["   }"," ","   if Keys.Checkpoints.FileFormat == \"wal\" {","-    close(WALMessages)","+    for _, ch := range walShardChs {","+      close(ch)","+    }","   }"," ","   cclog.Infof(\"[METRICSTORE]> Writing to '%s'...\\n\", Keys.Checkpoints.RootDir)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"017c0be7-76a0-498d-9354-21ea8abfce53","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"parentUuid":"d95a6f2d-ee1e-446f-bb5c-075ee88f40aa","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_018MviUYNEraK8d5wonXbnPx","type":"message","role":"assistant","content":[{"type":"text","text":"All changes compile and tests pass. Here's a summary of what was implemented:\n\n**Change 1 — Sharded WAL writer goroutines** (`walCheckpoint.go`):\n- Replaced single `WALMessages` channel + `WALStaging()` goroutine with `walNumShards` (= `NumWorkers`) independent shard goroutines\n- Each shard has its own channel (`walShardChs[i]`) and `hostFiles` map — zero contention between shards\n- Messages route to shards via `walShardIndex()` using FNV-1a hash of `cluster + \"\\0\" + node`, ensuring per-host writes stay serial\n- Per-shard channel buffer: `65536 / numShards` (min 1024) — same total memory budget\n\n**Change 2 — Zero-allocation record writing** (`walCheckpoint.go`):\n- Added `writeWALRecordDirect(w *bufio.Writer, msg)` that encodes the record directly into the `bufio.Writer` using a stack-allocated `[8]byte` scratch buffer and computes CRC inline via `crc32.NewIEEE()`\n- Eliminates both the `buildWALPayload()` and `writeWALRecord()` allocations from the hot path (old functions retained for tests/replay)\n\n**Change 3 — Route WAL sends to shards** (`lineprotocol.go`):\n- `SendWALMessage(msg)` replaces the direct channel send, routing to the correct shard\n\n**Change 4 — Shard-aware rotation** (`walCheckpoint.go`):\n- `RotateWALFiles` hashes the host directory to find the correct shard and sends the rotate request there via `walShardRotateChs[shard]`\n\n**Change 5 — Shutdown** (`metricstore.go`):\n- Closes all shard channels in a loop instead of closing a single `WALMessages` channel"}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":195,"cache_read_input_tokens":56628,"output_tokens":470,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":195,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ9zonTxkCowGYKgAqyvj","type":"assistant","uuid":"4d126e55-dda3-40ef-9b6a-bb99197021a0","timestamp":"2026-03-18T05:31:40.456Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"type":"file-history-snapshot","messageId":"751b2e6c-6a13-4120-bab4-b6196a6c7e83","snapshot":{"messageId":"751b2e6c-6a13-4120-bab4-b6196a6c7e83","trackedFileBackups":{"pkg/metricstore/walCheckpoint.go":{"backupFileName":"f5b5b4bac0274f50@v2","version":2,"backupTime":"2026-03-18T05:39:32.359Z"},"pkg/metricstore/lineprotocol.go":{"backupFileName":"90dc6599471442f6@v2","version":2,"backupTime":"2026-03-18T05:39:32.360Z"},"pkg/metricstore/metricstore.go":{"backupFileName":"9d6c8b589b687438@v2","version":2,"backupTime":"2026-03-18T05:39:32.360Z"}},"timestamp":"2026-03-18T05:39:32.359Z"},"isSnapshotUpdate":false}
+{"parentUuid":"4037605d-32bb-432e-aa17-4bfc505b9068","isSidechain":false,"promptId":"91ccd3cf-29e3-4c49-926c-ff2fbce3f600","type":"user","message":{"role":"user","content":"After those changes the application blocks during startup in ReceiveNats. Ivestigate issue and fix it."},"uuid":"751b2e6c-6a13-4120-bab4-b6196a6c7e83","timestamp":"2026-03-18T05:39:31.687Z","permissionMode":"plan","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"parentUuid":"aff34e95-7da0-4491-aff7-78e287fab241","isSidechain":false,"promptId":"91ccd3cf-29e3-4c49-926c-ff2fbce3f600","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NPwrE7zqJZMjnJDErayCtU","type":"tool_result","content":"     1→# Fix WAL Channel Saturation (3M+ messages dropped)\n     2→\n     3→## Context\n     4→\n     5→After the initial slow-consumer fixes (multi-worker decode, non-blocking WAL send, 65K channel buffer, 256-batch drain), the WAL channel is still permanently full. 3M+ messages are being dropped — the single `WALStaging` goroutine fundamentally cannot keep up with `NumWorkers` concurrent decode goroutines producing WAL messages.\n     6→\n     7→## Root Cause\n     8→\n     9→The single `WALStaging` goroutine is the bottleneck. For every message it must:\n    10→1. `path.Join()` to build hostDir string — **allocates**\n    11→2. Map lookup in `hostFiles`\n    12→3. `buildWALPayload()` — **allocates a new `[]byte`** per message\n    13→4. `writeWALRecord()` — **allocates another `[]byte`** (record = magic+len+payload+crc)\n    14→5. `bufio.Write()` — copies into buffer, occasionally flushes to disk\n    15→\n    16→With `NumWorkers` producers (e.g., 5-10 goroutines) each decoding batches of metrics, the single consumer cannot match. The 65K channel buffer fills in seconds, then every message is dropped.\n    17→\n    18→## Plan: Sharded WAL Writers\n    19→\n    20→Replace the single `WALStaging` goroutine with **N sharded writer goroutines**, each owning a subset of hosts. Messages are routed to shards by hashing `cluster+node`. This:\n    21→- Parallelizes serialization and I/O across goroutines\n    22→- Keeps per-host writes serial (required for correct WAL files)\n    23→- Eliminates the single-goroutine bottleneck entirely\n    24→\n    25→Additionally, eliminate per-message heap allocations in `buildWALPayload`/`writeWALRecord` by encoding directly into the `bufio.Writer`.\n    26→\n    27→### Change 1: Sharded WAL writer goroutines\n    28→**File:** `pkg/metricstore/walCheckpoint.go`\n    29→\n    30→Replace the single `WALMessages` channel + `WALStaging()` goroutine with:\n    31→\n    32→```go\n    33→const walShards = 16  // or NumWorkers\n    34→\n    35→// Per-shard channel + goroutine\n    36→var walShardChs []chan *WALMessage\n    37→\n    38→func walShard(msg *WALMessage) int {\n    39→    // FNV-1a hash of cluster+node, mod shard count\n    40→    h := fnv.New32a()\n    41→    h.Write([]byte(msg.Cluster))\n    42→    h.Write([]byte{0})\n    43→    h.Write([]byte(msg.Node))\n    44→    return int(h.Sum32()) % len(walShardChs)\n    45→}\n    46→```\n    47→\n    48→Each shard goroutine:\n    49→- Owns its own `hostFiles` map (no contention)\n    50→- Drains its channel with the existing batch-drain pattern\n    51→- Handles rotate requests for its hosts\n    52→\n    53→**Shard count:** Use `NumWorkers` (already configured, sensible default).\n    54→\n    55→**Channel buffer per shard:** `65536 / numShards` — same total memory, but each shard only buffers its hosts.\n    56→\n    57→### Change 2: Eliminate per-message allocations\n    58→**File:** `pkg/metricstore/walCheckpoint.go`\n    59→\n    60→Replace `buildWALPayload()` → `writeWALRecord()` (2 allocations per message) with `writeWALRecordDirect(w *bufio.Writer, msg *WALMessage)` that encodes directly into the `bufio.Writer` using a small stack-allocated scratch buffer:\n    61→\n    62→```go\n    63→func writeWALRecordDirect(w *bufio.Writer, msg *WALMessage) error {\n    64→    // Build payload into a pooled or stack buffer, compute CRC inline,\n    65→    // write magic+len, then payload, then CRC — all directly to w.\n    66→    // Zero heap allocations in the hot path.\n    67→    var scratch [128]byte  // stack-allocated, covers most records\n    68→    // ... encode payload into scratch or a pooled []byte if >128 ...\n    69→}\n    70→```\n    71→\n    72→Keep the old `writeWALRecord`/`buildWALPayload` for use in tests or non-hot paths, but the shard goroutines use the direct version.\n    73→\n    74→### Change 3: Route WAL sends to shards from DecodeLine\n    75→**File:** `pkg/metricstore/lineprotocol.go:355-372`\n    76→\n    77→Replace:\n    78→```go\n    79→select {\n    80→case WALMessages <- msg:\n    81→default:\n    82→    // dropped\n    83→}\n    84→```\n    85→With:\n    86→```go\n    87→shard := walShard(msg)\n    88→select {\n    89→case walShardChs[shard] <- msg:\n    90→default:\n    91→    // dropped\n    92→}\n    93→```\n    94→\n    95→### Change 4: Shard-aware rotation\n    96→**File:** `pkg/metricstore/walCheckpoint.go`\n    97→\n    98→`RotateWALFiles` must send rotate requests to the correct shard. Each shard has its own `walRotateCh`. The checkpoint goroutine hashes the hostDir to find the right shard and sends the rotate request there.\n    99→\n   100→### Change 5: Shutdown\n   101→**File:** `pkg/metricstore/metricstore.go` (Shutdown function)\n   102→\n   103→Close all shard channels instead of the single `WALMessages` channel. Each shard goroutine drains and flushes on close.\n   104→\n   105→## Files to Modify\n   106→\n   107→- `pkg/metricstore/walCheckpoint.go` — sharded goroutines, direct record writing, shard-aware rotation\n   108→- `pkg/metricstore/lineprotocol.go` — route WAL sends to shard channels\n   109→- `pkg/metricstore/metricstore.go` — `WALStaging()` call updated, `Shutdown()` closes shard channels\n   110→\n   111→## Verification\n   112→\n   113→1. `go build ./...`\n   114→2. `go test ./pkg/metricstore/...`\n   115→3. Deploy and verify:\n   116→   - WAL drop count stays at 0 (or near-zero during extreme bursts)\n   117→   - WAL files are correct (load a checkpoint, verify data)\n   118→   - No \"WAL channel full\" log messages\n   119→   - Memory usage roughly same (total channel buffer size unchanged)\n   120→"}]},"uuid":"4dad3b07-9aee-469d-93d8-27a391e6c440","timestamp":"2026-03-18T05:39:36.042Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/.claude/plans/bright-wandering-flurry.md","content":"# Fix WAL Channel Saturation (3M+ messages dropped)\n\n## Context\n\nAfter the initial slow-consumer fixes (multi-worker decode, non-blocking WAL send, 65K channel buffer, 256-batch drain), the WAL channel is still permanently full. 3M+ messages are being dropped — the single `WALStaging` goroutine fundamentally cannot keep up with `NumWorkers` concurrent decode goroutines producing WAL messages.\n\n## Root Cause\n\nThe single `WALStaging` goroutine is the bottleneck. For every message it must:\n1. `path.Join()` to build hostDir string — **allocates**\n2. Map lookup in `hostFiles`\n3. `buildWALPayload()` — **allocates a new `[]byte`** per message\n4. `writeWALRecord()` — **allocates another `[]byte`** (record = magic+len+payload+crc)\n5. `bufio.Write()` — copies into buffer, occasionally flushes to disk\n\nWith `NumWorkers` producers (e.g., 5-10 goroutines) each decoding batches of metrics, the single consumer cannot match. The 65K channel buffer fills in seconds, then every message is dropped.\n\n## Plan: Sharded WAL Writers\n\nReplace the single `WALStaging` goroutine with **N sharded writer goroutines**, each owning a subset of hosts. Messages are routed to shards by hashing `cluster+node`. This:\n- Parallelizes serialization and I/O across goroutines\n- Keeps per-host writes serial (required for correct WAL files)\n- Eliminates the single-goroutine bottleneck entirely\n\nAdditionally, eliminate per-message heap allocations in `buildWALPayload`/`writeWALRecord` by encoding directly into the `bufio.Writer`.\n\n### Change 1: Sharded WAL writer goroutines\n**File:** `pkg/metricstore/walCheckpoint.go`\n\nReplace the single `WALMessages` channel + `WALStaging()` goroutine with:\n\n```go\nconst walShards = 16  // or NumWorkers\n\n// Per-shard channel + goroutine\nvar walShardChs []chan *WALMessage\n\nfunc walShard(msg *WALMessage) int {\n    // FNV-1a hash of cluster+node, mod shard count\n    h := fnv.New32a()\n    h.Write([]byte(msg.Cluster))\n    h.Write([]byte{0})\n    h.Write([]byte(msg.Node))\n    return int(h.Sum32()) % len(walShardChs)\n}\n```\n\nEach shard goroutine:\n- Owns its own `hostFiles` map (no contention)\n- Drains its channel with the existing batch-drain pattern\n- Handles rotate requests for its hosts\n\n**Shard count:** Use `NumWorkers` (already configured, sensible default).\n\n**Channel buffer per shard:** `65536 / numShards` — same total memory, but each shard only buffers its hosts.\n\n### Change 2: Eliminate per-message allocations\n**File:** `pkg/metricstore/walCheckpoint.go`\n\nReplace `buildWALPayload()` → `writeWALRecord()` (2 allocations per message) with `writeWALRecordDirect(w *bufio.Writer, msg *WALMessage)` that encodes directly into the `bufio.Writer` using a small stack-allocated scratch buffer:\n\n```go\nfunc writeWALRecordDirect(w *bufio.Writer, msg *WALMessage) error {\n    // Build payload into a pooled or stack buffer, compute CRC inline,\n    // write magic+len, then payload, then CRC — all directly to w.\n    // Zero heap allocations in the hot path.\n    var scratch [128]byte  // stack-allocated, covers most records\n    // ... encode payload into scratch or a pooled []byte if >128 ...\n}\n```\n\nKeep the old `writeWALRecord`/`buildWALPayload` for use in tests or non-hot paths, but the shard goroutines use the direct version.\n\n### Change 3: Route WAL sends to shards from DecodeLine\n**File:** `pkg/metricstore/lineprotocol.go:355-372`\n\nReplace:\n```go\nselect {\ncase WALMessages <- msg:\ndefault:\n    // dropped\n}\n```\nWith:\n```go\nshard := walShard(msg)\nselect {\ncase walShardChs[shard] <- msg:\ndefault:\n    // dropped\n}\n```\n\n### Change 4: Shard-aware rotation\n**File:** `pkg/metricstore/walCheckpoint.go`\n\n`RotateWALFiles` must send rotate requests to the correct shard. Each shard has its own `walRotateCh`. The checkpoint goroutine hashes the hostDir to find the right shard and sends the rotate request there.\n\n### Change 5: Shutdown\n**File:** `pkg/metricstore/metricstore.go` (Shutdown function)\n\nClose all shard channels instead of the single `WALMessages` channel. Each shard goroutine drains and flushes on close.\n\n## Files to Modify\n\n- `pkg/metricstore/walCheckpoint.go` — sharded goroutines, direct record writing, shard-aware rotation\n- `pkg/metricstore/lineprotocol.go` — route WAL sends to shard channels\n- `pkg/metricstore/metricstore.go` — `WALStaging()` call updated, `Shutdown()` closes shard channels\n\n## Verification\n\n1. `go build ./...`\n2. `go test ./pkg/metricstore/...`\n3. Deploy and verify:\n   - WAL drop count stays at 0 (or near-zero during extreme bursts)\n   - WAL files are correct (load a checkpoint, verify data)\n   - No \"WAL channel full\" log messages\n   - Memory usage roughly same (total channel buffer size unchanged)\n","numLines":120,"startLine":1,"totalLines":120}},"sourceToolAssistantUUID":"aff34e95-7da0-4491-aff7-78e287fab241","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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Call Shutdown() when\n   123→// receiving termination signals to ensure checkpoint data is persisted.\n   124→func Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n   125→\tstartupTime := time.Now()\n   126→\n   127→\tif rawConfig != nil {\n   128→\t\tconfig.Validate(configSchema, rawConfig)\n   129→\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n   130→\t\tdec.DisallowUnknownFields()\n   131→\t\tif err := dec.Decode(&Keys); err != nil {\n   132→\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n   133→\t\t}\n   134→\t}\n   135→\n   136→\t// Set NumWorkers from config or use default\n   137→\tif Keys.NumWorkers <= 0 {\n   138→\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n   139→\t}\n   140→\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n   141→\n   142→\t// Pass the config.MetricStoreKeys\n   143→\tInitMetrics(metrics)\n   144→\n   145→\tms := GetMemoryStore()\n   146→\n   147→\td, err := time.ParseDuration(Keys.RetentionInMemory)\n   148→\tif err != nil {\n   149→\t\tcclog.Fatal(err)\n   150→\t}\n   151→\n   152→\trestoreFrom := startupTime.Add(-d)\n   153→\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n   154→\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n   155→\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n   156→\tif err != nil {\n   157→\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n   158→\t} else {\n   159→\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n   160→\t}\n   161→\n   162→\t// Try to use less memory by forcing a GC run here and then\n   163→\t// lowering the target percentage. The default of 100 means\n   164→\t// that only once the ratio of new allocations execeds the\n   165→\t// previously active heap, a GC is triggered.\n   166→\t// Forcing a GC here will set the \"previously active heap\"\n   167→\t// to a minumum.\n   168→\t// runtime.GC()\n   169→\n   170→\tctx, shutdown := context.WithCancel(context.Background())\n   171→\n   172→\tRetention(wg, ctx)\n   173→\tCheckpointing(wg, ctx)\n   174→\tCleanUp(wg, ctx)\n   175→\tWALStaging(wg, ctx)\n   176→\tMemoryUsageTracker(wg, ctx)\n   177→\n   178→\t// Note: Signal handling has been removed from this function.\n   179→\t// The caller is responsible for handling shutdown signals and calling\n   180→\t// the shutdown() function when appropriate.\n   181→\t// Store the shutdown function for later use by Shutdown()\n   182→\tshutdownFuncMu.Lock()\n   183→\tshutdownFunc = shutdown\n   184→\tshutdownFuncMu.Unlock()\n   185→\n   186→\tif Keys.Subscriptions != nil {\n   187→\t\terr = ReceiveNats(ms, Keys.NumWorkers, ctx)\n   188→\t\tif err != nil {\n   189→\t\t\tcclog.Fatal(err)\n   190→\t\t}\n   191→\t}\n   192→}\n   193→\n   194→// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n   195→//\n   196→// This function must be called before GetMemoryStore() and can only be called once due to\n   197→// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n   198→//\n   199→// Parameters:\n   200→//   - metrics: Map of metric names to their configurations (frequency and aggregation strategy)\n   201→//\n   202→// Panics if any metric has Frequency == 0, which indicates an invalid configuration.\n   203→//\n   204→// After this call, the global msInstance is ready for use via GetMemoryStore().\n   205→func InitMetrics(metrics map[string]MetricConfig) {\n   206→\tsingleton.Do(func() {\n   207→\t\toffset := 0\n   208→\t\tfor key, cfg := range metrics {\n   209→\t\t\tif cfg.Frequency == 0 {\n   210→\t\t\t\tpanic(\"[METRICSTORE]> invalid frequency\")\n   211→\t\t\t}\n   212→\n   213→\t\t\tmetrics[key] = MetricConfig{\n   214→\t\t\t\tFrequency:   cfg.Frequency,\n   215→\t\t\t\tAggregation: cfg.Aggregation,\n   216→\t\t\t\toffset:      offset,\n   217→\t\t\t}\n   218→\t\t\toffset += 1\n   219→\t\t}\n   220→\n   221→\t\tmsInstance = &MemoryStore{\n   222→\t\t\troot: Level{\n   223→\t\t\t\tmetrics:  make([]*buffer, len(metrics)),\n   224→\t\t\t\tchildren: make(map[string]*Level),\n   225→\t\t\t},\n   226→\t\t\tMetrics: metrics,\n   227→\t\t}\n   228→\t})\n   229→}\n   230→\n   231→// GetMemoryStore returns the singleton MemoryStore instance.\n   232→//\n   233→// Returns the initialized MemoryStore singleton. Calls cclog.Fatal if InitMetrics() was not called first.\n   234→//\n   235→// This function is safe for concurrent use after initialization.\n   236→func GetMemoryStore() *MemoryStore {\n   237→\tif msInstance == nil {\n   238→\t\tcclog.Warnf(\"[METRICSTORE]> MemoryStore not initialized!\")\n   239→\t}\n   240→\n   241→\treturn msInstance\n   242→}\n   243→\n   244→func (ms *MemoryStore) GetMetricFrequency(metricName string) (int64, error) {\n   245→\tif metric, ok := ms.Metrics[metricName]; ok {\n   246→\t\treturn metric.Frequency, nil\n   247→\t}\n   248→\treturn 0, fmt.Errorf(\"[METRICSTORE]> metric %s not found\", metricName)\n   249→}\n   250→\n   251→// SetNodeProvider sets the NodeProvider implementation for the MemoryStore.\n   252→// This must be called during initialization to provide job state information\n   253→// for selective buffer retention during Free operations.\n   254→// If not set, the Free function will fall back to freeing all buffers.\n   255→func (ms *MemoryStore) SetNodeProvider(provider NodeProvider) {\n   256→\tms.nodeProvider = provider\n   257→}\n   258→\n   259→// Shutdown performs a graceful shutdown of the metric store.\n   260→//\n   261→// This function cancels all background goroutines started by Init() and writes\n   262→// a final checkpoint to disk before returning. It should be called when the\n   263→// application receives a termination signal.\n   264→//\n   265→// The function will:\n   266→//  1. Cancel the context to stop all background workers\n   267→//  2. Close the WAL messages channel if using WAL format\n   268→//  3. Write a final checkpoint to preserve in-memory data\n   269→//  4. Log any errors encountered during shutdown\n   270→//\n   271→// Note: This function blocks until the final checkpoint is written.\n   272→func Shutdown() {\n   273→\tshutdownFuncMu.Lock()\n   274→\tdefer shutdownFuncMu.Unlock()\n   275→\tif shutdownFunc != nil {\n   276→\t\tshutdownFunc()\n   277→\t}\n   278→\n   279→\tif Keys.Checkpoints.FileFormat == \"wal\" {\n   280→\t\tfor _, ch := range walShardChs {\n   281→\t\t\tclose(ch)\n   282→\t\t}\n   283→\t}\n   284→\n   285→\tcclog.Infof(\"[METRICSTORE]> Writing to '%s'...\\n\", Keys.Checkpoints.RootDir)\n   286→\tvar files int\n   287→\tvar err error\n   288→\n   289→\tms := GetMemoryStore()\n   290→\n   291→\tlastCheckpointMu.Lock()\n   292→\tfrom := lastCheckpoint\n   293→\tlastCheckpointMu.Unlock()\n   294→\n   295→\tif Keys.Checkpoints.FileFormat == \"wal\" {\n   296→\t\tvar hostDirs []string\n   297→\t\tfiles, hostDirs, err = ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n   298→\t\tif err == nil {\n   299→\t\t\tRotateWALFilesAfterShutdown(hostDirs)\n   300→\t\t}\n   301→\t} else {\n   302→\t\tfiles, err = ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n   303→\t}\n   304→\n   305→\tif err != nil {\n   306→\t\tcclog.Errorf(\"[METRICSTORE]> Writing checkpoint failed: %s\\n\", err.Error())\n   307→\t}\n   308→\tcclog.Infof(\"[METRICSTORE]> Done! (%d files written)\\n\", files)\n   309→}\n   310→\n   311→// Retention starts a background goroutine that periodically frees old metric data.\n   312→//\n   313→// This worker runs at half the retention interval and calls Free() to remove buffers\n   314→// older than the configured retention time. It respects the NodeProvider to preserve"}]},"uuid":"0eda71ba-282f-4c97-9f25-13eb755cfbee","timestamp":"2026-03-18T05:39:44.181Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go","content":"// Use Shutdown() to cleanly stop all background workers started by Init().\n//\n// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n// receiving termination signals to ensure checkpoint data is persisted.\nfunc Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n\tstartupTime := time.Now()\n\n\tif rawConfig != nil {\n\t\tconfig.Validate(configSchema, rawConfig)\n\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n\t\tdec.DisallowUnknownFields()\n\t\tif err := dec.Decode(&Keys); err != nil {\n\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n\t\t}\n\t}\n\n\t// Set NumWorkers from config or use default\n\tif Keys.NumWorkers <= 0 {\n\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n\t}\n\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n\n\t// Pass the config.MetricStoreKeys\n\tInitMetrics(metrics)\n\n\tms := GetMemoryStore()\n\n\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\tif err != nil {\n\t\tcclog.Fatal(err)\n\t}\n\n\trestoreFrom := startupTime.Add(-d)\n\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n\tif err != nil {\n\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n\t} else {\n\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n\t}\n\n\t// Try to use less memory by forcing a GC run here and then\n\t// lowering the target percentage. The default of 100 means\n\t// that only once the ratio of new allocations execeds the\n\t// previously active heap, a GC is triggered.\n\t// Forcing a GC here will set the \"previously active heap\"\n\t// to a minumum.\n\t// runtime.GC()\n\n\tctx, shutdown := context.WithCancel(context.Background())\n\n\tRetention(wg, ctx)\n\tCheckpointing(wg, ctx)\n\tCleanUp(wg, ctx)\n\tWALStaging(wg, ctx)\n\tMemoryUsageTracker(wg, ctx)\n\n\t// Note: Signal handling has been removed from this function.\n\t// The caller is responsible for handling shutdown signals and calling\n\t// the shutdown() function when appropriate.\n\t// Store the shutdown function for later use by Shutdown()\n\tshutdownFuncMu.Lock()\n\tshutdownFunc = shutdown\n\tshutdownFuncMu.Unlock()\n\n\tif Keys.Subscriptions != nil {\n\t\terr = ReceiveNats(ms, Keys.NumWorkers, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t}\n}\n\n// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n//\n// This function must be called before GetMemoryStore() and can only be called once due to\n// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n//\n// Parameters:\n//   - metrics: Map of metric names to their configurations (frequency and aggregation strategy)\n//\n// Panics if any metric has Frequency == 0, which indicates an invalid configuration.\n//\n// After this call, the global msInstance is ready for use via GetMemoryStore().\nfunc InitMetrics(metrics map[string]MetricConfig) {\n\tsingleton.Do(func() {\n\t\toffset := 0\n\t\tfor key, cfg := range metrics {\n\t\t\tif cfg.Frequency == 0 {\n\t\t\t\tpanic(\"[METRICSTORE]> invalid frequency\")\n\t\t\t}\n\n\t\t\tmetrics[key] = MetricConfig{\n\t\t\t\tFrequency:   cfg.Frequency,\n\t\t\t\tAggregation: cfg.Aggregation,\n\t\t\t\toffset:      offset,\n\t\t\t}\n\t\t\toffset += 1\n\t\t}\n\n\t\tmsInstance = &MemoryStore{\n\t\t\troot: Level{\n\t\t\t\tmetrics:  make([]*buffer, len(metrics)),\n\t\t\t\tchildren: make(map[string]*Level),\n\t\t\t},\n\t\t\tMetrics: metrics,\n\t\t}\n\t})\n}\n\n// GetMemoryStore returns the singleton MemoryStore instance.\n//\n// Returns the initialized MemoryStore singleton. Calls cclog.Fatal if InitMetrics() was not called first.\n//\n// This function is safe for concurrent use after initialization.\nfunc GetMemoryStore() *MemoryStore {\n\tif msInstance == nil {\n\t\tcclog.Warnf(\"[METRICSTORE]> MemoryStore not initialized!\")\n\t}\n\n\treturn msInstance\n}\n\nfunc (ms *MemoryStore) GetMetricFrequency(metricName string) (int64, error) {\n\tif metric, ok := ms.Metrics[metricName]; ok {\n\t\treturn metric.Frequency, nil\n\t}\n\treturn 0, fmt.Errorf(\"[METRICSTORE]> metric %s not found\", metricName)\n}\n\n// SetNodeProvider sets the NodeProvider implementation for the MemoryStore.\n// This must be called during initialization to provide job state information\n// for selective buffer retention during Free operations.\n// If not set, the Free function will fall back to freeing all buffers.\nfunc (ms *MemoryStore) SetNodeProvider(provider NodeProvider) {\n\tms.nodeProvider = provider\n}\n\n// Shutdown performs a graceful shutdown of the metric store.\n//\n// This function cancels all background goroutines started by Init() and writes\n// a final checkpoint to disk before returning. It should be called when the\n// application receives a termination signal.\n//\n// The function will:\n//  1. Cancel the context to stop all background workers\n//  2. Close the WAL messages channel if using WAL format\n//  3. Write a final checkpoint to preserve in-memory data\n//  4. Log any errors encountered during shutdown\n//\n// Note: This function blocks until the final checkpoint is written.\nfunc Shutdown() {\n\tshutdownFuncMu.Lock()\n\tdefer shutdownFuncMu.Unlock()\n\tif shutdownFunc != nil {\n\t\tshutdownFunc()\n\t}\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tfor _, ch := range walShardChs {\n\t\t\tclose(ch)\n\t\t}\n\t}\n\n\tcclog.Infof(\"[METRICSTORE]> Writing to '%s'...\\n\", Keys.Checkpoints.RootDir)\n\tvar files int\n\tvar err error\n\n\tms := GetMemoryStore()\n\n\tlastCheckpointMu.Lock()\n\tfrom := lastCheckpoint\n\tlastCheckpointMu.Unlock()\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tvar hostDirs []string\n\t\tfiles, hostDirs, err = ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t\tif err == nil {\n\t\t\tRotateWALFilesAfterShutdown(hostDirs)\n\t\t}\n\t} else {\n\t\tfiles, err = ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t}\n\n\tif err != nil {\n\t\tcclog.Errorf(\"[METRICSTORE]> Writing checkpoint failed: %s\\n\", err.Error())\n\t}\n\tcclog.Infof(\"[METRICSTORE]> Done! (%d files written)\\n\", files)\n}\n\n// Retention starts a background goroutine that periodically frees old metric data.\n//\n// This worker runs at half the retention interval and calls Free() to remove buffers\n// older than the configured retention time. It respects the NodeProvider to preserve","numLines":195,"startLine":120,"totalLines":803}},"sourceToolAssistantUUID":"051098cc-2896-492c-8c46-5819080607f6","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"parentUuid":"22bc90e6-514e-4f1c-89b9-b9b3c8b891bb","isSidechain":false,"promptId":"91ccd3cf-29e3-4c49-926c-ff2fbce3f600","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01At4Z3KViiCPFANt4CNuNzr","type":"tool_result","content":"    83→\n    84→// walShardChs holds per-shard channels for WAL messages.\n    85→// Initialized by WALStaging; nil when WAL is not active.\n    86→var walShardChs []chan *WALMessage\n    87→\n    88→// walShardRotateChs holds per-shard channels for WAL rotation requests.\n    89→var walShardRotateChs []chan walRotateReq\n    90→\n    91→// walNumShards stores the number of shards (set during WALStaging init).\n    92→var walNumShards int\n    93→\n    94→// WALMessage represents a single metric write to be appended to the WAL.\n    95→// Cluster and Node are NOT stored in the WAL record (inferred from file path).\n    96→type WALMessage struct {\n    97→\tMetricName string\n    98→\tCluster    string\n    99→\tNode       string\n   100→\tSelector   []string\n   101→\tValue      schema.Float\n   102→\tTimestamp  int64\n   103→}\n   104→\n   105→// walRotateReq requests WAL file rotation for a specific host directory.\n   106→// The done channel is closed by the WAL goroutine when rotation is complete.\n   107→type walRotateReq struct {\n   108→\thostDir string\n   109→\tdone    chan struct{}\n   110→}\n   111→\n   112→// walFileState holds an open WAL file handle and buffered writer for one host directory.\n   113→type walFileState struct {\n   114→\tf *os.File\n   115→\tw *bufio.Writer\n   116→}\n   117→\n   118→// walShardIndex computes which shard a message belongs to based on cluster+node.\n   119→// Uses FNV-1a hash for fast, well-distributed mapping.\n   120→func walShardIndex(cluster, node string) int {\n   121→\th := fnv.New32a()\n   122→\th.Write([]byte(cluster))\n   123→\th.Write([]byte{0})\n   124→\th.Write([]byte(node))\n   125→\treturn int(h.Sum32()) % walNumShards\n   126→}\n   127→\n   128→// SendWALMessage routes a WAL message to the appropriate shard channel.\n   129→// Returns false if the channel is full (message dropped).\n   130→func SendWALMessage(msg *WALMessage) bool {\n   131→\tif walShardChs == nil {\n   132→\t\treturn false\n   133→\t}\n   134→\tshard := walShardIndex(msg.Cluster, msg.Node)\n   135→\tselect {\n   136→\tcase walShardChs[shard] <- msg:\n   137→\t\treturn true\n   138→\tdefault:\n   139→\t\treturn false\n   140→\t}\n   141→}\n   142→\n   143→// WALStaging starts N sharded background goroutines that receive WALMessage items\n   144→// and append binary WAL records to per-host current.wal files.\n   145→// Each shard owns a subset of hosts (determined by hash of cluster+node),\n   146→// parallelizing serialization and I/O while keeping per-host writes serial.\n   147→func WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n   148→\tif Keys.Checkpoints.FileFormat == \"json\" {\n   149→\t\treturn\n   150→\t}\n   151→\n   152→\twalNumShards = max(Keys.NumWorkers, 1)\n   153→\tchBufSize := max(65536/walNumShards, 1024)\n   154→\n   155→\twalShardChs = make([]chan *WALMessage, walNumShards)\n   156→\twalShardRotateChs = make([]chan walRotateReq, walNumShards)\n   157→\n   158→\tfor i := range walNumShards {\n   159→\t\twalShardChs[i] = make(chan *WALMessage, chBufSize)\n   160→\t\twalShardRotateChs[i] = make(chan walRotateReq, 64)\n   161→\t}\n   162→\n   163→\tfor i := range walNumShards {\n   164→\t\tmsgCh := walShardChs[i]\n   165→\t\trotateCh := walShardRotateChs[i]\n   166→\n   167→\t\twg.Go(func() {\n   168→\t\t\thostFiles := make(map[string]*walFileState)\n   169→\n   170→\t\t\tdefer func() {\n   171→\t\t\t\tfor _, ws := range hostFiles {\n   172→\t\t\t\t\tif ws.f != nil {\n   173→\t\t\t\t\t\tws.w.Flush()\n   174→\t\t\t\t\t\tws.f.Close()\n   175→\t\t\t\t\t}\n   176→\t\t\t\t}\n   177→\t\t\t}()\n   178→\n   179→\t\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n   180→\t\t\t\tws, ok := hostFiles[hostDir]\n   181→\t\t\t\tif ok {\n   182→\t\t\t\t\treturn ws\n   183→\t\t\t\t}\n   184→\n   185→\t\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n   186→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n   187→\t\t\t\t\treturn nil\n   188→\t\t\t\t}\n   189→\n   190→\t\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n   191→\t\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n   192→\t\t\t\tif err != nil {\n   193→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n   194→\t\t\t\t\treturn nil\n   195→\t\t\t\t}\n   196→\n   197→\t\t\t\tw := bufio.NewWriter(f)\n   198→\n   199→\t\t\t\t// Write file header magic if file is new (empty).\n   200→\t\t\t\tinfo, err := f.Stat()\n   201→\t\t\t\tif err == nil && info.Size() == 0 {\n   202→\t\t\t\t\tvar hdr [4]byte"}]},"uuid":"2fe6eca8-1271-44df-81e4-f9d2959149df","timestamp":"2026-03-18T05:39:44.628Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","content":"\n// walShardChs holds per-shard channels for WAL messages.\n// Initialized by WALStaging; nil when WAL is not active.\nvar walShardChs []chan *WALMessage\n\n// walShardRotateChs holds per-shard channels for WAL rotation requests.\nvar walShardRotateChs []chan walRotateReq\n\n// walNumShards stores the number of shards (set during WALStaging init).\nvar walNumShards int\n\n// WALMessage represents a single metric write to be appended to the WAL.\n// Cluster and Node are NOT stored in the WAL record (inferred from file path).\ntype WALMessage struct {\n\tMetricName string\n\tCluster    string\n\tNode       string\n\tSelector   []string\n\tValue      schema.Float\n\tTimestamp  int64\n}\n\n// walRotateReq requests WAL file rotation for a specific host directory.\n// The done channel is closed by the WAL goroutine when rotation is complete.\ntype walRotateReq struct {\n\thostDir string\n\tdone    chan struct{}\n}\n\n// walFileState holds an open WAL file handle and buffered writer for one host directory.\ntype walFileState struct {\n\tf *os.File\n\tw *bufio.Writer\n}\n\n// walShardIndex computes which shard a message belongs to based on cluster+node.\n// Uses FNV-1a hash for fast, well-distributed mapping.\nfunc walShardIndex(cluster, node string) int {\n\th := fnv.New32a()\n\th.Write([]byte(cluster))\n\th.Write([]byte{0})\n\th.Write([]byte(node))\n\treturn int(h.Sum32()) % walNumShards\n}\n\n// SendWALMessage routes a WAL message to the appropriate shard channel.\n// Returns false if the channel is full (message dropped).\nfunc SendWALMessage(msg *WALMessage) bool {\n\tif walShardChs == nil {\n\t\treturn false\n\t}\n\tshard := walShardIndex(msg.Cluster, msg.Node)\n\tselect {\n\tcase walShardChs[shard] <- msg:\n\t\treturn true\n\tdefault:\n\t\treturn false\n\t}\n}\n\n// WALStaging starts N sharded background goroutines that receive WALMessage items\n// and append binary WAL records to per-host current.wal files.\n// Each shard owns a subset of hosts (determined by hash of cluster+node),\n// parallelizing serialization and I/O while keeping per-host writes serial.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\treturn\n\t}\n\n\twalNumShards = max(Keys.NumWorkers, 1)\n\tchBufSize := max(65536/walNumShards, 1024)\n\n\twalShardChs = make([]chan *WALMessage, walNumShards)\n\twalShardRotateChs = make([]chan walRotateReq, walNumShards)\n\n\tfor i := range walNumShards {\n\t\twalShardChs[i] = make(chan *WALMessage, chBufSize)\n\t\twalShardRotateChs[i] = make(chan walRotateReq, 64)\n\t}\n\n\tfor i := range walNumShards {\n\t\tmsgCh := walShardChs[i]\n\t\trotateCh := walShardRotateChs[i]\n\n\t\twg.Go(func() {\n\t\t\thostFiles := make(map[string]*walFileState)\n\n\t\t\tdefer func() {\n\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t\tws.f.Close()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\n\t\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n\t\t\t\tws, ok := hostFiles[hostDir]\n\t\t\t\tif ok {\n\t\t\t\t\treturn ws\n\t\t\t\t}\n\n\t\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\n\t\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\n\t\t\t\tw := bufio.NewWriter(f)\n\n\t\t\t\t// Write file header magic if file is new (empty).\n\t\t\t\tinfo, err := f.Stat()\n\t\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\t\tvar hdr [4]byte","numLines":120,"startLine":83,"totalLines":966}},"sourceToolAssistantUUID":"22bc90e6-514e-4f1c-89b9-b9b3c8b891bb","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"parentUuid":"a0d1fb61-2dd1-4def-a410-4cc73ff37387","isSidechain":false,"promptId":"91ccd3cf-29e3-4c49-926c-ff2fbce3f600","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01H4teUjE2b2WDLfMHUU8Rn7","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// This file implements ingestion of InfluxDB line-protocol metric data received\n     7→// over NATS. Each line encodes one metric sample with the following structure:\n     8→//\n     9→//\t<measurement>[,cluster=<c>][,hostname=<h>][,type=<t>][,type-id=<id>][,subtype=<s>][,stype-id=<id>] value=<v> [<timestamp>]\n    10→//\n    11→// The measurement name identifies the metric (e.g. \"cpu_load\"). Tags provide\n    12→// routing information (cluster, host) and optional sub-device selectors (type,\n    13→// subtype). Only one field is expected per line: \"value\".\n    14→//\n    15→// After decoding, each sample is:\n    16→//  1. Written to the in-memory store via ms.WriteToLevel.\n    17→//  2. If the checkpoint format is \"wal\", also forwarded to the WAL staging\n    18→//     goroutine via the WALMessages channel for durable write-ahead logging.\n    19→package metricstore\n    20→\n    21→import (\n    22→\t\"bytes\"\n    23→\t\"context\"\n    24→\t\"fmt\"\n    25→\t\"sync\"\n    26→\t\"sync/atomic\"\n    27→\t\"time\"\n    28→\n    29→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    30→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    31→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    32→\t\"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n    33→)\n    34→\n    35→// ReceiveNats subscribes to all configured NATS subjects and feeds incoming\n    36→// line-protocol messages into the MemoryStore.\n    37→//\n    38→// When workers > 1 a pool of goroutines drains a shared channel so that\n    39→// multiple messages can be decoded in parallel. With workers == 1 the NATS\n    40→// callback decodes inline (no channel overhead, lower latency).\n    41→//\n    42→// The function blocks until ctx is cancelled and all worker goroutines have\n    43→// finished. It returns nil when the NATS client is not configured; callers\n    44→// should treat that as a no-op rather than an error.\n    45→func ReceiveNats(ms *MemoryStore,\n    46→\tworkers int,\n    47→\tctx context.Context,\n    48→) error {\n    49→\tnc := nats.GetClient()\n    50→\n    51→\tif nc == nil {\n    52→\t\tcclog.Warn(\"NATS client not initialized\")\n    53→\t\treturn nil\n    54→\t}\n    55→\n    56→\tvar wg sync.WaitGroup\n    57→\tmsgs := make(chan []byte, max(workers*256, 8192))\n    58→\n    59→\tfor _, sc := range *Keys.Subscriptions {\n    60→\t\tclusterTag := sc.ClusterTag\n    61→\t\tif workers > 1 {\n    62→\t\t\twg.Add(workers)\n    63→\n    64→\t\t\tfor range workers {\n    65→\t\t\t\tgo func() {\n    66→\t\t\t\t\tdefer wg.Done()\n    67→\t\t\t\t\tfor m := range msgs {\n    68→\t\t\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(m)\n    69→\t\t\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n    70→\t\t\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n    71→\t\t\t\t\t\t}\n    72→\t\t\t\t\t}\n    73→\t\t\t\t}()\n    74→\t\t\t}\n    75→\n    76→\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n    77→\t\t\t\tselect {\n    78→\t\t\t\tcase msgs <- data:\n    79→\t\t\t\tcase <-ctx.Done():\n    80→\t\t\t\t}\n    81→\t\t\t})\n    82→\t\t} else {\n    83→\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n    84→\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(data)\n    85→\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n    86→\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n    87→\t\t\t\t}\n    88→\t\t\t})\n    89→\t\t}\n    90→\t\tcclog.Infof(\"NATS subscription to '%s' established\", sc.SubscribeTo)\n    91→\t}\n    92→\n    93→\tgo func() {\n    94→\t\t<-ctx.Done()\n    95→\t\tclose(msgs)\n    96→\t}()\n    97→\n    98→\twg.Wait()\n    99→\n   100→\treturn nil\n   101→}"}]},"uuid":"5e547acc-c506-4cf0-800c-1ff664eacd0b","timestamp":"2026-03-18T05:39:45.248Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/lineprotocol.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file implements ingestion of InfluxDB line-protocol metric data received\n// over NATS. Each line encodes one metric sample with the following structure:\n//\n//\t<measurement>[,cluster=<c>][,hostname=<h>][,type=<t>][,type-id=<id>][,subtype=<s>][,stype-id=<id>] value=<v> [<timestamp>]\n//\n// The measurement name identifies the metric (e.g. \"cpu_load\"). Tags provide\n// routing information (cluster, host) and optional sub-device selectors (type,\n// subtype). Only one field is expected per line: \"value\".\n//\n// After decoding, each sample is:\n//  1. Written to the in-memory store via ms.WriteToLevel.\n//  2. If the checkpoint format is \"wal\", also forwarded to the WAL staging\n//     goroutine via the WALMessages channel for durable write-ahead logging.\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\t\"sync/atomic\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// ReceiveNats subscribes to all configured NATS subjects and feeds incoming\n// line-protocol messages into the MemoryStore.\n//\n// When workers > 1 a pool of goroutines drains a shared channel so that\n// multiple messages can be decoded in parallel. With workers == 1 the NATS\n// callback decodes inline (no channel overhead, lower latency).\n//\n// The function blocks until ctx is cancelled and all worker goroutines have\n// finished. It returns nil when the NATS client is not configured; callers\n// should treat that as a no-op rather than an error.\nfunc ReceiveNats(ms *MemoryStore,\n\tworkers int,\n\tctx context.Context,\n) error {\n\tnc := nats.GetClient()\n\n\tif nc == nil {\n\t\tcclog.Warn(\"NATS client not initialized\")\n\t\treturn nil\n\t}\n\n\tvar wg sync.WaitGroup\n\tmsgs := make(chan []byte, max(workers*256, 8192))\n\n\tfor _, sc := range *Keys.Subscriptions {\n\t\tclusterTag := sc.ClusterTag\n\t\tif workers > 1 {\n\t\t\twg.Add(workers)\n\n\t\t\tfor range workers {\n\t\t\t\tgo func() {\n\t\t\t\t\tdefer wg.Done()\n\t\t\t\t\tfor m := range msgs {\n\t\t\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(m)\n\t\t\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}()\n\t\t\t}\n\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tselect {\n\t\t\t\tcase msgs <- data:\n\t\t\t\tcase <-ctx.Done():\n\t\t\t\t}\n\t\t\t})\n\t\t} else {\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(data)\n\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\t\tcclog.Infof(\"NATS subscription to '%s' established\", sc.SubscribeTo)\n\t}\n\n\tgo func() {\n\t\t<-ctx.Done()\n\t\tclose(msgs)\n\t}()\n\n\twg.Wait()\n\n\treturn nil\n}","numLines":101,"startLine":1,"totalLines":380}},"sourceToolAssistantUUID":"a0d1fb61-2dd1-4def-a410-4cc73ff37387","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":6186,"cache_read_input_tokens":60756,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":6186},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZA1SS7tHc32MSfj4HiTf","type":"assistant","uuid":"177d741f-8e3e-4867-8966-68ac0fe213b8","timestamp":"2026-03-18T05:41:25.754Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"parentUuid":"1752f84d-e814-4112-88d3-544923cb197e","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BBND9rbAHSGYqi5kD2QhSh","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package main provides the entry point for the ClusterCockpit backend server.\n     7→// It orchestrates initialization of all subsystems including configuration,\n     8→// database, authentication, and the HTTP server.\n     9→package main\n    10→\n    11→import (\n    12→\t\"context\"\n    13→\t\"encoding/json\"\n    14→\t\"fmt\"\n    15→\t\"os\"\n    16→\t\"os/signal\"\n    17→\t\"runtime/debug\"\n    18→\t\"strings\"\n    19→\t\"sync\"\n    20→\t\"syscall\"\n    21→\t\"time\"\n    22→\n    23→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    24→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n    25→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    26→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n    27→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    28→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    29→\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n    30→\t\"github.com/ClusterCockpit/cc-backend/internal/taskmanager\"\n    31→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    32→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n    33→\t\"github.com/ClusterCockpit/cc-backend/web\"\n    34→\tccconf \"github.com/ClusterCockpit/cc-lib/v2/ccConfig\"\n    35→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    36→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    37→\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n    38→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    39→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n    40→\t\"github.com/google/gops/agent\"\n    41→\t\"github.com/joho/godotenv\"\n    42→\n    43→\t_ \"github.com/mattn/go-sqlite3\"\n    44→)\n    45→\n    46→const logoString = `\n    47→ _____ _           _             ____           _          _ _\n    48→/  ___| |_   _ ___| |_ ___ _ __ / ___|___   ___| | ___ __ (_) |_\n    49→| |   | | | | / __| __/ _ \\ '__| |   / _ \\ / __| |/ / '_ \\| | __|\n    50→| |___| | |_| \\__ \\ ||  __/ |  | |__| (_) | (__|   <| |_) | | |_\n    51→\\_____|_|\\__,_|___/\\__\\___|_|   \\____\\___/ \\___|_|\\_\\ .__/|_|\\__|\n    52→                                                    |_|\n    53→`\n    54→\n    55→// Environment variable names\n    56→const (\n    57→\tenvGOGC = \"GOGC\"\n    58→)\n    59→\n    60→// Default configurations\n    61→const (\n    62→\tdefaultArchiveConfig = `{\"kind\":\"file\",\"path\":\"./var/job-archive\"}`\n    63→)\n    64→\n    65→var (\n    66→\tdate    string\n    67→\tcommit  string\n    68→\tversion string\n    69→)\n    70→\n    71→func printVersion() {\n    72→\tfmt.Print(logoString)\n    73→\tfmt.Printf(\"Version:\\t%s\\n\", version)\n    74→\tfmt.Printf(\"Git hash:\\t%s\\n\", commit)\n    75→\tfmt.Printf(\"Build time:\\t%s\\n\", date)\n    76→\tfmt.Printf(\"SQL db version:\\t%d\\n\", repository.Version)\n    77→\tfmt.Printf(\"Job archive version:\\t%d\\n\", archive.Version)\n    78→}\n    79→\n    80→func initGops() error {\n    81→\tif !flagGops {\n    82→\t\treturn nil\n    83→\t}\n    84→\n    85→\tif err := agent.Listen(agent.Options{}); err != nil {\n    86→\t\treturn fmt.Errorf(\"starting gops agent: %w\", err)\n    87→\t}\n    88→\treturn nil\n    89→}\n    90→\n    91→func loadEnvironment() error {\n    92→\tif err := godotenv.Load(); err != nil {\n    93→\t\treturn fmt.Errorf(\"loading .env file: %w\", err)\n    94→\t}\n    95→\treturn nil\n    96→}\n    97→\n    98→func initConfiguration() error {\n    99→\tccconf.Init(flagConfigFile)\n   100→\n   101→\tcfg := ccconf.GetPackageConfig(\"main\")\n   102→\tif cfg == nil {\n   103→\t\treturn fmt.Errorf(\"main configuration must be present\")\n   104→\t}\n   105→\n   106→\tconfig.Init(cfg)\n   107→\treturn nil\n   108→}\n   109→\n   110→func initDatabase() error {\n   111→\tif config.Keys.DbConfig != nil {\n   112→\t\tcfg := repository.DefaultConfig()\n   113→\t\tdc := config.Keys.DbConfig\n   114→\t\tif dc.CacheSizeMB > 0 {\n   115→\t\t\tcfg.DbCacheSizeMB = dc.CacheSizeMB\n   116→\t\t}\n   117→\t\tif dc.SoftHeapLimitMB > 0 {\n   118→\t\t\tcfg.DbSoftHeapLimitMB = dc.SoftHeapLimitMB\n   119→\t\t}\n   120→\t\tif dc.MaxOpenConnections > 0 {\n   121→\t\t\tcfg.MaxOpenConnections = dc.MaxOpenConnections\n   122→\t\t}\n   123→\t\tif dc.MaxIdleConnections > 0 {\n   124→\t\t\tcfg.MaxIdleConnections = dc.MaxIdleConnections\n   125→\t\t}\n   126→\t\tif dc.ConnectionMaxIdleTimeMins > 0 {\n   127→\t\t\tcfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute\n   128→\t\t}\n   129→\t\tif dc.BusyTimeoutMs > 0 {\n   130→\t\t\tcfg.BusyTimeoutMs = dc.BusyTimeoutMs\n   131→\t\t}\n   132→\t\trepository.SetConfig(cfg)\n   133→\t}\n   134→\trepository.Connect(config.Keys.DB)\n   135→\treturn nil\n   136→}\n   137→\n   138→func handleDatabaseCommands() error {\n   139→\tif flagMigrateDB {\n   140→\t\terr := repository.MigrateDB(config.Keys.DB)\n   141→\t\tif err != nil {\n   142→\t\t\treturn fmt.Errorf(\"migrating database to version %d: %w\", repository.Version, err)\n   143→\t\t}\n   144→\t\tcclog.Exitf(\"MigrateDB Success: Migrated SQLite database at '%s' to version %d.\\n\",\n   145→\t\t\tconfig.Keys.DB, repository.Version)\n   146→\t}\n   147→\n   148→\tif flagRevertDB {\n   149→\t\terr := repository.RevertDB(config.Keys.DB)\n   150→\t\tif err != nil {\n   151→\t\t\treturn fmt.Errorf(\"reverting database to version %d: %w\", repository.Version-1, err)\n   152→\t\t}\n   153→\t\tcclog.Exitf(\"RevertDB Success: Reverted SQLite database at '%s' to version %d.\\n\",\n   154→\t\t\tconfig.Keys.DB, repository.Version-1)\n   155→\t}\n   156→\n   157→\tif flagForceDB {\n   158→\t\terr := repository.ForceDB(config.Keys.DB)\n   159→\t\tif err != nil {\n   160→\t\t\treturn fmt.Errorf(\"forcing database to version %d: %w\", repository.Version, err)\n   161→\t\t}\n   162→\t\tcclog.Exitf(\"ForceDB Success: Forced SQLite database at '%s' to version %d.\\n\",\n   163→\t\t\tconfig.Keys.DB, repository.Version)\n   164→\t}\n   165→\n   166→\treturn nil\n   167→}\n   168→\n   169→func handleUserCommands() error {\n   170→\tif config.Keys.DisableAuthentication && (flagNewUser != \"\" || flagDelUser != \"\") {\n   171→\t\treturn fmt.Errorf(\"--add-user and --del-user can only be used if authentication is enabled\")\n   172→\t}\n   173→\n   174→\tif !config.Keys.DisableAuthentication {\n   175→\t\tif cfg := ccconf.GetPackageConfig(\"auth\"); cfg != nil {\n   176→\t\t\tauth.Init(&cfg)\n   177→\t\t} else {\n   178→\t\t\tcclog.Warn(\"Authentication disabled due to missing configuration\")\n   179→\t\t\tauth.Init(nil)\n   180→\t\t}\n   181→\n   182→\t\t// Check for default security keys\n   183→\t\tcheckDefaultSecurityKeys()\n   184→\n   185→\t\tif flagNewUser != \"\" {\n   186→\t\t\tif err := addUser(flagNewUser); err != nil {\n   187→\t\t\t\treturn err\n   188→\t\t\t}\n   189→\t\t}\n   190→\n   191→\t\tif flagDelUser != \"\" {\n   192→\t\t\tif err := delUser(flagDelUser); err != nil {\n   193→\t\t\t\treturn err\n   194→\t\t\t}\n   195→\t\t}\n   196→\n   197→\t\tauthHandle := auth.GetAuthInstance()\n   198→\n   199→\t\tif flagSyncLDAP {\n   200→\t\t\tif err := syncLDAP(authHandle); err != nil {\n   201→\t\t\t\treturn err\n   202→\t\t\t}\n   203→\t\t}\n   204→\n   205→\t\tif flagGenJWT != \"\" {\n   206→\t\t\tif err := generateJWT(authHandle, flagGenJWT); err != nil {\n   207→\t\t\t\treturn err\n   208→\t\t\t}\n   209→\t\t}\n   210→\t}\n   211→\n   212→\treturn nil\n   213→}\n   214→\n   215→// checkDefaultSecurityKeys warns if default JWT keys are detected\n   216→func checkDefaultSecurityKeys() {\n   217→\t// Default JWT public key from init.go\n   218→\tdefaultJWTPublic := \"REDACTED\"\n   219→\n   220→\tif os.Getenv(\"JWT_PUBLIC_KEY\") == defaultJWTPublic {\n   221→\t\tcclog.Warn(\"Using default JWT keys - not recommended for production environments\")\n   222→\t}\n   223→}\n   224→\n   225→func addUser(userSpec string) error {\n   226→\tparts := strings.SplitN(userSpec, \":\", 3)\n   227→\tif len(parts) != 3 || len(parts[0]) == 0 {\n   228→\t\treturn fmt.Errorf(\"invalid user format, want: <username>:[admin,support,manager,api,user]:<password>, have: %s\", userSpec)\n   229→\t}\n   230→\n   231→\tur := repository.GetUserRepository()\n   232→\tif err := ur.AddUser(&schema.User{\n   233→\t\tUsername: parts[0],\n   234→\t\tProjects: make([]string, 0),\n   235→\t\tPassword: parts[2],\n   236→\t\tRoles:    strings.Split(parts[1], \",\"),\n   237→\t}); err != nil {\n   238→\t\treturn fmt.Errorf(\"adding user '%s' with roles '%s': %w\", parts[0], parts[1], err)\n   239→\t}\n   240→\n   241→\tcclog.Infof(\"Add User: Added new user '%s' with roles '%s'\", parts[0], parts[1])\n   242→\treturn nil\n   243→}\n   244→\n   245→func delUser(username string) error {\n   246→\tur := repository.GetUserRepository()\n   247→\tif err := ur.DelUser(username); err != nil {\n   248→\t\treturn fmt.Errorf(\"deleting user '%s': %w\", username, err)\n   249→\t}\n   250→\tcclog.Infof(\"Delete User: Deleted user '%s' from DB\", username)\n   251→\treturn nil\n   252→}\n   253→\n   254→func syncLDAP(authHandle *auth.Authentication) error {\n   255→\tif authHandle.LdapAuth == nil {\n   256→\t\treturn fmt.Errorf(\"LDAP authentication is not configured\")\n   257→\t}\n   258→\n   259→\tif err := authHandle.LdapAuth.Sync(); err != nil {\n   260→\t\treturn fmt.Errorf(\"synchronizing LDAP: %w\", err)\n   261→\t}\n   262→\n   263→\tcclog.Print(\"Sync LDAP: LDAP synchronization successfull.\")\n   264→\treturn nil\n   265→}\n   266→\n   267→func generateJWT(authHandle *auth.Authentication, username string) error {\n   268→\tur := repository.GetUserRepository()\n   269→\tuser, err := ur.GetUser(username)\n   270→\tif err != nil {\n   271→\t\treturn fmt.Errorf(\"getting user '%s': %w\", username, err)\n   272→\t}\n   273→\n   274→\tif !user.HasRole(schema.RoleAPI) {\n   275→\t\tcclog.Warnf(\"JWT: User '%s' does not have the role 'api'. REST API endpoints will return error!\\n\", user.Username)\n   276→\t}\n   277→\n   278→\tjwt, err := authHandle.JwtAuth.ProvideJWT(user)\n   279→\tif err != nil {\n   280→\t\treturn fmt.Errorf(\"generating JWT for user '%s': %w\", user.Username, err)\n   281→\t}\n   282→\n   283→\tcclog.Printf(\"JWT: Successfully generated JWT for user '%s': %s\\n\", user.Username, jwt)\n   284→\treturn nil\n   285→}\n   286→\n   287→func initSubsystems() error {\n   288→\t// Initialize nats client\n   289→\tnatsConfig := ccconf.GetPackageConfig(\"nats\")\n   290→\tif err := nats.Init(natsConfig); err != nil {\n   291→\t\tcclog.Warnf(\"initializing (optional) nats client: %s\", err.Error())\n   292→\t}\n   293→\tnats.Connect()\n   294→\n   295→\t// Initialize job archive\n   296→\tarchiveCfg := ccconf.GetPackageConfig(\"archive\")\n   297→\tif archiveCfg == nil {\n   298→\t\tcclog.Debug(\"Archive configuration not found, using default archive configuration\")\n   299→\t\tarchiveCfg = json.RawMessage(defaultArchiveConfig)\n   300→\t}\n   301→\tif err := archive.Init(archiveCfg); err != nil {\n   302→\t\treturn fmt.Errorf(\"initializing archive: %w\", err)\n   303→\t}\n   304→\n   305→\t// Handle database re-initialization\n   306→\tif flagReinitDB {\n   307→\t\tif err := importer.InitDB(); err != nil {\n   308→\t\t\treturn fmt.Errorf(\"re-initializing repository DB: %w\", err)\n   309→\t\t}\n   310→\t\tcclog.Print(\"Init DB: Successfully re-initialized repository DB.\")\n   311→\t}\n   312→\n   313→\t// Handle job import\n   314→\tif flagImportJob != \"\" {\n   315→\t\tif err := importer.HandleImportFlag(flagImportJob); err != nil {\n   316→\t\t\treturn fmt.Errorf(\"importing job: %w\", err)\n   317→\t\t}\n   318→\t\tcclog.Infof(\"Import Job: Imported Job '%s' into DB\", flagImportJob)\n   319→\t}\n   320→\n   321→\t// Initialize taggers\n   322→\tif config.Keys.EnableJobTaggers {\n   323→\t\ttagger.Init()\n   324→\t}\n   325→\n   326→\t// Apply tags if requested\n   327→\tif flagApplyTags {\n   328→\t\ttagger.Init()\n   329→\n   330→\t\tif err := tagger.RunTaggers(); err != nil {\n   331→\t\t\treturn fmt.Errorf(\"running job taggers: %w\", err)\n   332→\t\t}\n   333→\t}\n   334→\n   335→\treturn nil\n   336→}\n   337→\n   338→func runServer(ctx context.Context) error {\n   339→\tvar wg sync.WaitGroup\n   340→\n   341→\t// Initialize metric store if configuration is provided\n   342→\thaveMetricstore := false\n   343→\tmscfg := ccconf.GetPackageConfig(\"metric-store\")\n   344→\tif mscfg != nil {\n   345→\t\tmetrics := metricstore.BuildMetricList()\n   346→\t\tmetricstore.Init(mscfg, metrics, &wg)\n   347→\n   348→\t\t// Inject repository as NodeProvider to break import cycle\n   349→\t\tms := metricstore.GetMemoryStore()\n   350→\t\tjobRepo := repository.GetJobRepository()\n   351→\t\tms.SetNodeProvider(jobRepo)\n   352→\t\tmetricstore.MetricStoreHandle = &metricstore.InternalMetricStore{}\n   353→\t\thaveMetricstore = true\n   354→\t} else {\n   355→\t\tmetricstore.MetricStoreHandle = nil\n   356→\t\tcclog.Debug(\"missing internal metricstore configuration\")\n   357→\t}\n   358→\n   359→\t// Initialize external metric stores if configuration is provided\n   360→\tmscfg = ccconf.GetPackageConfig(\"metric-store-external\")\n   361→\tif mscfg != nil {\n   362→\t\terr := metricdispatch.Init(mscfg)\n   363→\n   364→\t\tif err != nil {\n   365→\t\t\tcclog.Debugf(\"error while initializing external metricdispatch: %v\", err)\n   366→\t\t} else {\n   367→\t\t\thaveMetricstore = true\n   368→\t\t}\n   369→\t}\n   370→\n   371→\tif !haveMetricstore {\n   372→\t\treturn fmt.Errorf(\"missing metricstore configuration\")\n   373→\t}\n   374→\n   375→\t// Start archiver and task manager\n   376→\tarchiver.Start(repository.GetJobRepository(), ctx)\n   377→\ttaskmanager.Start(ccconf.GetPackageConfig(\"cron\"), ccconf.GetPackageConfig(\"archive\"))\n   378→\n   379→\t// Initialize web UI\n   380→\tcfg := ccconf.GetPackageConfig(\"ui\")\n   381→\tif err := web.Init(cfg); err != nil {\n   382→\t\treturn fmt.Errorf(\"initializing web UI: %w\", err)\n   383→\t}\n   384→\n   385→\t// Initialize HTTP server\n   386→\tsrv, err := NewServer(version, commit, date)\n   387→\tif err != nil {\n   388→\t\treturn fmt.Errorf(\"creating server: %w\", err)\n   389→\t}\n   390→\n   391→\t// Channel to collect errors from server\n   392→\terrChan := make(chan error, 1)\n   393→\n   394→\t// Start HTTP server\n   395→\twg.Go(func() {\n   396→\t\tif err := srv.Start(ctx); err != nil {\n   397→\t\t\terrChan <- err\n   398→\t\t}\n   399→\t})\n   400→\n   401→\t// Handle shutdown signals\n   402→\twg.Add(1)\n   403→\tsigs := make(chan os.Signal, 1)\n   404→\tsignal.Notify(sigs, syscall.SIGINT, syscall.SIGTERM)\n   405→\tgo func() {\n   406→\t\tdefer wg.Done()\n   407→\t\tselect {\n   408→\t\tcase <-sigs:\n   409→\t\t\tcclog.Info(\"Shutdown signal received\")\n   410→\t\tcase <-ctx.Done():\n   411→\t\t}\n   412→\n   413→\t\truntime.SystemdNotify(false, \"Shutting down ...\")\n   414→\t\tsrv.Shutdown(ctx)\n   415→\t\tutil.FsWatcherShutdown()\n   416→\t\ttaskmanager.Shutdown()\n   417→\t}()\n   418→\n   419→\t// Set GC percent if not configured\n   420→\tif os.Getenv(envGOGC) == \"\" {\n   421→\t\t// trigger GC when heap grows 15% above the previous live set\n   422→\t\tdebug.SetGCPercent(15)\n   423→\t}\n   424→\truntime.SystemdNotify(true, \"running\")\n   425→\n   426→\twaitDone := make(chan struct{})\n   427→\tgo func() {\n   428→\t\twg.Wait()\n   429→\t\tclose(waitDone)\n   430→\t}()\n   431→\n   432→\tgo func() {\n   433→\t\t<-waitDone\n   434→\t\tclose(errChan)\n   435→\t}()\n   436→\n   437→\t// Wait for either:\n   438→\t// 1. An error from server startup\n   439→\t// 2. Completion of all goroutines (normal shutdown or crash)\n   440→\tselect {\n   441→\tcase err := <-errChan:\n   442→\t\t// errChan will be closed when waitDone is closed, which happens\n   443→\t\t// when all goroutines complete (either from normal shutdown or error)\n   444→\t\tif err != nil {\n   445→\t\t\treturn err\n   446→\t\t}\n   447→\tcase <-time.After(100 * time.Millisecond):\n   448→\t\t// Give the server 100ms to start and report any immediate startup errors\n   449→\t\t// After that, just wait for normal shutdown completion\n   450→\t\tselect {\n   451→\t\tcase err := <-errChan:\n   452→\t\t\tif err != nil {\n   453→\t\t\t\treturn err\n   454→\t\t\t}\n   455→\t\tcase <-waitDone:\n   456→\t\t\t// Normal shutdown completed\n   457→\t\t}\n   458→\t}\n   459→\n   460→\tcclog.Print(\"Graceful shutdown completed!\")\n   461→\treturn nil\n   462→}\n   463→\n   464→func run() error {\n   465→\tcliInit()\n   466→\n   467→\tif flagVersion {\n   468→\t\tprintVersion()\n   469→\t\treturn nil\n   470→\t}\n   471→\n   472→\t// Initialize logger\n   473→\tcclog.Init(flagLogLevel, flagLogDateTime)\n   474→\n   475→\t// Handle init flag\n   476→\tif flagInit {\n   477→\t\tinitEnv()\n   478→\t\tcclog.Exit(\"Successfully setup environment!\\n\" +\n   479→\t\t\t\"Please review config.json and .env and adjust it to your needs.\\n\" +\n   480→\t\t\t\"Add your job-archive at ./var/job-archive.\")\n   481→\t}\n   482→\n   483→\t// Initialize gops agent\n   484→\tif err := initGops(); err != nil {\n   485→\t\treturn err\n   486→\t}\n   487→\n   488→\t// Initialize subsystems in dependency order:\n   489→\t// 1. Load environment variables from .env file (contains sensitive configuration)\n   490→\t// 2. Load configuration from config.json (may reference environment variables)\n   491→\t// 3. Handle database migration commands if requested\n   492→\t// 4. Initialize database connection (requires config for connection string)\n   493→\t// 5. Handle user commands if requested (requires database and authentication config)\n   494→\t// 6. Initialize subsystems like archive and metrics (require config and database)\n   495→\n   496→\t// Load environment and configuration\n   497→\tif err := loadEnvironment(); err != nil {\n   498→\t\treturn err\n   499→\t}\n   500→\n   501→\tif err := initConfiguration(); err != nil {\n   502→\t\treturn err\n   503→\t}\n   504→\n   505→\t// Handle database migration (migrate, revert, force)\n   506→\tif err := handleDatabaseCommands(); err != nil {\n   507→\t\treturn err\n   508→\t}\n   509→\n   510→\t// Initialize database\n   511→\tif err := initDatabase(); err != nil {\n   512→\t\treturn err\n   513→\t}\n   514→\n   515→\t// Optimize database if requested\n   516→\tif flagOptimizeDB {\n   517→\t\tdb := repository.GetConnection()\n   518→\t\tcclog.Print(\"Running VACUUM to reclaim space and defragment database...\")\n   519→\t\tif _, err := db.DB.Exec(\"VACUUM\"); err != nil {\n   520→\t\t\treturn fmt.Errorf(\"VACUUM failed: %w\", err)\n   521→\t\t}\n   522→\t\tcclog.Print(\"Running ANALYZE to update query planner statistics...\")\n   523→\t\tif _, err := db.DB.Exec(\"ANALYZE\"); err != nil {\n   524→\t\t\treturn fmt.Errorf(\"ANALYZE failed: %w\", err)\n   525→\t\t}\n   526→\t\tcclog.Exitf(\"OptimizeDB Success: Database '%s' optimized (VACUUM + ANALYZE).\\n\", config.Keys.DB)\n   527→\t}\n   528→\n   529→\t// Handle user commands (add, delete, sync, JWT)\n   530→\tif err := handleUserCommands(); err != nil {\n   531→\t\treturn err\n   532→\t}\n   533→\n   534→\t// Initialize subsystems (archive, metrics, taggers)\n   535→\tif err := initSubsystems(); err != nil {\n   536→\t\treturn err\n   537→\t}\n   538→\n   539→\t// Exit if start server is not requested\n   540→\tif !flagServer {\n   541→\t\tcclog.Exit(\"No errors, server flag not set. Exiting cc-backend.\")\n   542→\t}\n   543→\n   544→\t// Run server with context\n   545→\tctx, cancel := context.WithCancel(context.Background())\n   546→\tdefer cancel()\n   547→\n   548→\treturn runServer(ctx)\n   549→}\n   550→\n   551→func main() {\n   552→\tif err := run(); err != nil {\n   553→\t\tcclog.Error(err.Error())\n   554→\t\tos.Exit(1)\n   555→\t}\n   556→}\n   557→"}]},"uuid":"87cf7a13-fa53-47e4-abe7-47b0a7a18665","timestamp":"2026-03-18T05:41:37.816Z"},"type":"agent_progress","prompt":"","agentId":"ac3d6ab97cbca2a87"},"toolUseID":"agent_msg_01XtAvaBKcd33EX14W49Jo9S","parentToolUseID":"toolu_01ECFd5J84HUYyMFEYwC2jab","uuid":"07467377-f29e-41cc-ad2c-2ee838ac21bc","timestamp":"2026-03-18T05:41:37.850Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"07467377-f29e-41cc-ad2c-2ee838ac21bc","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-18T05:41:38.168Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_016NNMi2AGCyEoFiGnL1fwz6","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011yMDZJvWTC94Sbu8wUw7qa","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/server.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":519,"cache_read_input_tokens":17671,"cache_creation":{"ephemeral_5m_input_tokens":519,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZA1acjaKTuJteaB2q3ih","uuid":"49434593-c223-4009-82d6-522e9112edc6"},"type":"agent_progress","prompt":"","agentId":"ac3d6ab97cbca2a87"},"toolUseID":"agent_msg_01XtAvaBKcd33EX14W49Jo9S","parentToolUseID":"toolu_01ECFd5J84HUYyMFEYwC2jab","uuid":"ae2f43f7-c40d-48df-aa52-05b0b3348bf7","timestamp":"2026-03-18T05:41:38.168Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"ae2f43f7-c40d-48df-aa52-05b0b3348bf7","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011yMDZJvWTC94Sbu8wUw7qa","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package main provides the entry point for the ClusterCockpit backend server.\n     7→// This file contains HTTP server setup, routing configuration, and\n     8→// authentication middleware integration.\n     9→package main\n    10→\n    11→import (\n    12→\t\"context\"\n    13→\t\"crypto/tls\"\n    14→\t\"encoding/json\"\n    15→\t\"errors\"\n    16→\t\"fmt\"\n    17→\t\"net\"\n    18→\t\"net/http\"\n    19→\t\"os\"\n    20→\t\"strings\"\n    21→\t\"time\"\n    22→\n    23→\t\"github.com/99designs/gqlgen/graphql\"\n    24→\t\"github.com/99designs/gqlgen/graphql/handler\"\n    25→\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n    26→\t\"github.com/99designs/gqlgen/graphql/playground\"\n    27→\t\"github.com/ClusterCockpit/cc-backend/internal/api\"\n    28→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    29→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n    30→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    31→\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n    32→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n    33→\t\"github.com/ClusterCockpit/cc-backend/internal/routerConfig\"\n    34→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n    35→\t\"github.com/ClusterCockpit/cc-backend/web\"\n    36→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    37→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    38→\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n    39→\t\"github.com/go-chi/chi/v5\"\n    40→\t\"github.com/go-chi/chi/v5/middleware\"\n    41→\t\"github.com/go-chi/cors\"\n    42→\thttpSwagger \"github.com/swaggo/http-swagger\"\n    43→)\n    44→\n    45→var buildInfo web.Build\n    46→\n    47→// Environment variable names\n    48→const (\n    49→\tenvDebug = \"DEBUG\"\n    50→)\n    51→\n    52→// Server encapsulates the HTTP server state and dependencies\n    53→type Server struct {\n    54→\trouter        chi.Router\n    55→\tserver        *http.Server\n    56→\trestAPIHandle *api.RestAPI\n    57→\tnatsAPIHandle *api.NatsAPI\n    58→}\n    59→\n    60→func onFailureResponse(rw http.ResponseWriter, r *http.Request, err error) {\n    61→\trw.Header().Add(\"Content-Type\", \"application/json\")\n    62→\trw.WriteHeader(http.StatusUnauthorized)\n    63→\tjson.NewEncoder(rw).Encode(map[string]string{\n    64→\t\t\"status\": http.StatusText(http.StatusUnauthorized),\n    65→\t\t\"error\":  err.Error(),\n    66→\t})\n    67→}\n    68→\n    69→// NewServer creates and initializes a new Server instance\n    70→func NewServer(version, commit, buildDate string) (*Server, error) {\n    71→\tbuildInfo = web.Build{Version: version, Hash: commit, Buildtime: buildDate}\n    72→\n    73→\ts := &Server{\n    74→\t\trouter: chi.NewRouter(),\n    75→\t}\n    76→\n    77→\tif err := s.init(); err != nil {\n    78→\t\treturn nil, err\n    79→\t}\n    80→\n    81→\treturn s, nil\n    82→}\n    83→\n    84→func (s *Server) init() error {\n    85→\t// Setup the http.Handler/Router used by the server\n    86→\tgraph.Init()\n    87→\tresolver := graph.GetResolverInstance()\n    88→\tgraphQLServer := handler.New(\n    89→\t\tgenerated.NewExecutableSchema(generated.Config{Resolvers: resolver}))\n    90→\n    91→\tgraphQLServer.AddTransport(transport.POST{})\n    92→\n    93→\t// Inject a per-request stats cache so that grouped statistics queries\n    94→\t// sharing the same (filter, groupBy) pair are executed only once.\n    95→\tgraphQLServer.AroundOperations(func(ctx context.Context, next graphql.OperationHandler) graphql.ResponseHandler {\n    96→\t\treturn next(graph.WithStatsGroupCache(ctx))\n    97→\t})\n    98→\n    99→\tif os.Getenv(envDebug) != \"1\" {\n   100→\t\t// Having this handler means that a error message is returned via GraphQL instead of the connection simply beeing closed.\n   101→\t\t// The problem with this is that then, no more stacktrace is printed to stderr.\n   102→\t\tgraphQLServer.SetRecoverFunc(func(ctx context.Context, err any) error {\n   103→\t\t\tswitch e := err.(type) {\n   104→\t\t\tcase string:\n   105→\t\t\t\treturn fmt.Errorf(\"MAIN > Panic: %s\", e)\n   106→\t\t\tcase error:\n   107→\t\t\t\treturn fmt.Errorf(\"MAIN > Panic caused by: %s\", e.Error())\n   108→\t\t\t}\n   109→\n   110→\t\t\treturn errors.New(\"MAIN > Internal server error (panic)\")\n   111→\t\t})\n   112→\t}\n   113→\n   114→\tauthHandle := auth.GetAuthInstance()\n   115→\n   116→\t// Middleware must be defined before routes in chi\n   117→\ts.router.Use(func(next http.Handler) http.Handler {\n   118→\t\treturn http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n   119→\t\t\tstart := time.Now()\n   120→\t\t\tww := middleware.NewWrapResponseWriter(rw, r.ProtoMajor)\n   121→\t\t\tnext.ServeHTTP(ww, r)\n   122→\t\t\tcclog.Debugf(\"%s %s (%d, %.02fkb, %dms)\",\n   123→\t\t\t\tr.Method, r.URL.RequestURI(),\n   124→\t\t\t\tww.Status(), float32(ww.BytesWritten())/1024,\n   125→\t\t\t\ttime.Since(start).Milliseconds())\n   126→\t\t})\n   127→\t})\n   128→\ts.router.Use(middleware.Compress(5))\n   129→\ts.router.Use(middleware.Recoverer)\n   130→\ts.router.Use(cors.Handler(cors.Options{\n   131→\t\tAllowCredentials: true,\n   132→\t\tAllowedHeaders:   []string{\"X-Requested-With\", \"Content-Type\", \"Authorization\", \"Origin\"},\n   133→\t\tAllowedMethods:   []string{\"GET\", \"POST\", \"HEAD\", \"OPTIONS\"},\n   134→\t\tAllowedOrigins:   []string{\"*\"},\n   135→\t}))\n   136→\n   137→\ts.restAPIHandle = api.New()\n   138→\n   139→\tinfo := map[string]any{}\n   140→\tinfo[\"hasOpenIDConnect\"] = false\n   141→\n   142→\tif auth.Keys.OpenIDConfig != nil {\n   143→\t\topenIDConnect := auth.NewOIDC(authHandle)\n   144→\t\topenIDConnect.RegisterEndpoints(s.router)\n   145→\t\tinfo[\"hasOpenIDConnect\"] = true\n   146→\t}\n   147→\n   148→\ts.router.Get(\"/login\", func(rw http.ResponseWriter, r *http.Request) {\n   149→\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n   150→\t\tcclog.Debugf(\"##%v##\", info)\n   151→\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{Title: \"Login\", Build: buildInfo, Infos: info})\n   152→\t})\n   153→\ts.router.HandleFunc(\"/imprint\", func(rw http.ResponseWriter, r *http.Request) {\n   154→\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n   155→\t\tweb.RenderTemplate(rw, \"imprint.tmpl\", &web.Page{Title: \"Imprint\", Build: buildInfo})\n   156→\t})\n   157→\ts.router.HandleFunc(\"/privacy\", func(rw http.ResponseWriter, r *http.Request) {\n   158→\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n   159→\t\tweb.RenderTemplate(rw, \"privacy.tmpl\", &web.Page{Title: \"Privacy\", Build: buildInfo})\n   160→\t})\n   161→\n   162→\tif !config.Keys.DisableAuthentication {\n   163→\t\t// Create login failure handler (used by both /login and /jwt-login)\n   164→\t\tloginFailureHandler := func(rw http.ResponseWriter, r *http.Request, err error) {\n   165→\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n   166→\t\t\trw.WriteHeader(http.StatusUnauthorized)\n   167→\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n   168→\t\t\t\tTitle:   \"Login failed - ClusterCockpit\",\n   169→\t\t\t\tMsgType: \"alert-warning\",\n   170→\t\t\t\tMessage: err.Error(),\n   171→\t\t\t\tBuild:   buildInfo,\n   172→\t\t\t\tInfos:   info,\n   173→\t\t\t})\n   174→\t\t}\n   175→\n   176→\t\ts.router.Post(\"/login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n   177→\t\ts.router.HandleFunc(\"/jwt-login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n   178→\n   179→\t\ts.router.Post(\"/logout\", authHandle.Logout(\n   180→\t\t\thttp.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n   181→\t\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n   182→\t\t\t\trw.WriteHeader(http.StatusOK)\n   183→\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n   184→\t\t\t\t\tTitle:   \"Bye - ClusterCockpit\",\n   185→\t\t\t\t\tMsgType: \"alert-info\",\n   186→\t\t\t\t\tMessage: \"Logout successful\",\n   187→\t\t\t\t\tBuild:   buildInfo,\n   188→\t\t\t\t\tInfos:   info,\n   189→\t\t\t\t})\n   190→\t\t\t})).ServeHTTP)\n   191→\t}\n   192→\n   193→\tif flagDev {\n   194→\t\ts.router.Handle(\"/playground\", playground.Handler(\"GraphQL playground\", \"/query\"))\n   195→\t\ts.router.Get(\"/swagger/*\", httpSwagger.Handler(\n   196→\t\t\thttpSwagger.URL(\"http://\"+config.Keys.Addr+\"/swagger/doc.json\")))\n   197→\t}\n   198→\n   199→\t// Secured routes (require authentication)\n   200→\ts.router.Group(func(secured chi.Router) {\n   201→\t\tif !config.Keys.DisableAuthentication {\n   202→\t\t\tsecured.Use(func(next http.Handler) http.Handler {\n   203→\t\t\t\treturn authHandle.Auth(\n   204→\t\t\t\t\tnext,\n   205→\t\t\t\t\tfunc(rw http.ResponseWriter, r *http.Request, err error) {\n   206→\t\t\t\t\t\trw.WriteHeader(http.StatusUnauthorized)\n   207→\t\t\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n   208→\t\t\t\t\t\t\tTitle:    \"Authentication failed - ClusterCockpit\",\n   209→\t\t\t\t\t\t\tMsgType:  \"alert-danger\",\n   210→\t\t\t\t\t\t\tMessage:  err.Error(),\n   211→\t\t\t\t\t\t\tBuild:    buildInfo,\n   212→\t\t\t\t\t\t\tInfos:    info,\n   213→\t\t\t\t\t\t\tRedirect: r.RequestURI,\n   214→\t\t\t\t\t\t})\n   215→\t\t\t\t\t})\n   216→\t\t\t})\n   217→\t\t}\n   218→\n   219→\t\tsecured.Handle(\"/query\", graphQLServer)\n   220→\n   221→\t\tsecured.HandleFunc(\"/search\", func(rw http.ResponseWriter, r *http.Request) {\n   222→\t\t\trouterConfig.HandleSearchBar(rw, r, buildInfo)\n   223→\t\t})\n   224→\n   225→\t\trouterConfig.SetupRoutes(secured, buildInfo)\n   226→\t})\n   227→\n   228→\t// API routes (JWT token auth)\n   229→\ts.router.Route(\"/api\", func(apiRouter chi.Router) {\n   230→\t\t// Main API routes with API auth\n   231→\t\tapiRouter.Group(func(securedapi chi.Router) {\n   232→\t\t\tif !config.Keys.DisableAuthentication {\n   233→\t\t\t\tsecuredapi.Use(func(next http.Handler) http.Handler {\n   234→\t\t\t\t\treturn authHandle.AuthAPI(next, onFailureResponse)\n   235→\t\t\t\t})\n   236→\t\t\t}\n   237→\t\t\ts.restAPIHandle.MountAPIRoutes(securedapi)\n   238→\t\t})\n   239→\n   240→\t\t// Metric store API routes with separate auth\n   241→\t\tapiRouter.Group(func(metricstoreapi chi.Router) {\n   242→\t\t\tif !config.Keys.DisableAuthentication {\n   243→\t\t\t\tmetricstoreapi.Use(func(next http.Handler) http.Handler {\n   244→\t\t\t\t\treturn authHandle.AuthMetricStoreAPI(next, onFailureResponse)\n   245→\t\t\t\t})\n   246→\t\t\t}\n   247→\t\t\ts.restAPIHandle.MountMetricStoreAPIRoutes(metricstoreapi)\n   248→\t\t})\n   249→\t})\n   250→\n   251→\t// User API routes\n   252→\ts.router.Route(\"/userapi\", func(userapi chi.Router) {\n   253→\t\tif !config.Keys.DisableAuthentication {\n   254→\t\t\tuserapi.Use(func(next http.Handler) http.Handler {\n   255→\t\t\t\treturn authHandle.AuthUserAPI(next, onFailureResponse)\n   256→\t\t\t})\n   257→\t\t}\n   258→\t\ts.restAPIHandle.MountUserAPIRoutes(userapi)\n   259→\t})\n   260→\n   261→\t// Config API routes (uses Group with full paths to avoid shadowing\n   262→\t// the /config page route that is registered in the secured group)\n   263→\ts.router.Group(func(configapi chi.Router) {\n   264→\t\tif !config.Keys.DisableAuthentication {\n   265→\t\t\tconfigapi.Use(func(next http.Handler) http.Handler {\n   266→\t\t\t\treturn authHandle.AuthConfigAPI(next, onFailureResponse)\n   267→\t\t\t})\n   268→\t\t}\n   269→\t\ts.restAPIHandle.MountConfigAPIRoutes(configapi)\n   270→\t})\n   271→\n   272→\t// Frontend API routes\n   273→\ts.router.Route(\"/frontend\", func(frontendapi chi.Router) {\n   274→\t\tif !config.Keys.DisableAuthentication {\n   275→\t\t\tfrontendapi.Use(func(next http.Handler) http.Handler {\n   276→\t\t\t\treturn authHandle.AuthFrontendAPI(next, onFailureResponse)\n   277→\t\t\t})\n   278→\t\t}\n   279→\t\ts.restAPIHandle.MountFrontendAPIRoutes(frontendapi)\n   280→\t})\n   281→\n   282→\tif config.Keys.APISubjects != nil {\n   283→\t\ts.natsAPIHandle = api.NewNatsAPI()\n   284→\t\tif err := s.natsAPIHandle.StartSubscriptions(); err != nil {\n   285→\t\t\treturn fmt.Errorf(\"starting NATS subscriptions: %w\", err)\n   286→\t\t}\n   287→\t}\n   288→\n   289→\t// 404 handler for pages and API routes\n   290→\tnotFoundHandler := func(rw http.ResponseWriter, r *http.Request) {\n   291→\t\tif strings.HasPrefix(r.URL.Path, \"/api/\") || strings.HasPrefix(r.URL.Path, \"/userapi/\") ||\n   292→\t\t\tstrings.HasPrefix(r.URL.Path, \"/frontend/\") || strings.HasPrefix(r.URL.Path, \"/config/\") {\n   293→\t\t\trw.Header().Set(\"Content-Type\", \"application/json\")\n   294→\t\t\trw.WriteHeader(http.StatusNotFound)\n   295→\t\t\tjson.NewEncoder(rw).Encode(map[string]string{\n   296→\t\t\t\t\"status\": \"Resource not found\",\n   297→\t\t\t\t\"error\":  \"the requested endpoint does not exist\",\n   298→\t\t\t})\n   299→\t\t\treturn\n   300→\t\t}\n   301→\t\trw.Header().Set(\"Content-Type\", \"text/html; charset=utf-8\")\n   302→\t\trw.WriteHeader(http.StatusNotFound)\n   303→\t\tweb.RenderTemplate(rw, \"404.tmpl\", &web.Page{\n   304→\t\t\tTitle: \"Page Not Found\",\n   305→\t\t\tBuild: buildInfo,\n   306→\t\t})\n   307→\t}\n   308→\n   309→\t// Set NotFound on the router so chi uses it for all unmatched routes,\n   310→\t// including those under subrouters like /api, /userapi, /frontend, etc.\n   311→\ts.router.NotFound(notFoundHandler)\n   312→\n   313→\tif config.Keys.EmbedStaticFiles {\n   314→\t\tif i, err := os.Stat(\"./var/img\"); err == nil {\n   315→\t\t\tif i.IsDir() {\n   316→\t\t\t\tcclog.Info(\"Use local directory for static images\")\n   317→\t\t\t\ts.router.Handle(\"/img/*\", http.StripPrefix(\"/img/\", http.FileServer(http.Dir(\"./var/img\"))))\n   318→\t\t\t}\n   319→\t\t}\n   320→\t\tfileServer := http.StripPrefix(\"/\", web.ServeFiles())\n   321→\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n   322→\t\t\tif web.StaticFileExists(r.URL.Path) {\n   323→\t\t\t\tfileServer.ServeHTTP(rw, r)\n   324→\t\t\t\treturn\n   325→\t\t\t}\n   326→\t\t\tnotFoundHandler(rw, r)\n   327→\t\t}))\n   328→\t} else {\n   329→\t\tstaticDir := http.Dir(config.Keys.StaticFiles)\n   330→\t\tfileServer := http.FileServer(staticDir)\n   331→\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n   332→\t\t\tf, err := staticDir.Open(r.URL.Path)\n   333→\t\t\tif err == nil {\n   334→\t\t\t\tf.Close()\n   335→\t\t\t\tfileServer.ServeHTTP(rw, r)\n   336→\t\t\t\treturn\n   337→\t\t\t}\n   338→\t\t\tnotFoundHandler(rw, r)\n   339→\t\t}))\n   340→\t}\n   341→\n   342→\treturn nil\n   343→}\n   344→\n   345→// Server timeout defaults (in seconds)\n   346→const (\n   347→\tdefaultReadTimeout  = 20\n   348→\tdefaultWriteTimeout = 20\n   349→)\n   350→\n   351→func (s *Server) Start(ctx context.Context) error {\n   352→\t// Use configurable timeouts with defaults\n   353→\treadTimeout := time.Duration(defaultReadTimeout) * time.Second\n   354→\twriteTimeout := time.Duration(defaultWriteTimeout) * time.Second\n   355→\n   356→\ts.server = &http.Server{\n   357→\t\tReadTimeout:  readTimeout,\n   358→\t\tWriteTimeout: writeTimeout,\n   359→\t\tHandler:      s.router,\n   360→\t\tAddr:         config.Keys.Addr,\n   361→\t}\n   362→\n   363→\t// Start http or https server\n   364→\tlistener, err := net.Listen(\"tcp\", config.Keys.Addr)\n   365→\tif err != nil {\n   366→\t\treturn fmt.Errorf(\"starting listener on '%s': %w\", config.Keys.Addr, err)\n   367→\t}\n   368→\n   369→\tif !strings.HasSuffix(config.Keys.Addr, \":80\") && config.Keys.RedirectHTTPTo != \"\" {\n   370→\t\tgo func() {\n   371→\t\t\thttp.ListenAndServe(\":80\", http.RedirectHandler(config.Keys.RedirectHTTPTo, http.StatusMovedPermanently))\n   372→\t\t}()\n   373→\t}\n   374→\n   375→\tif config.Keys.HTTPSCertFile != \"\" && config.Keys.HTTPSKeyFile != \"\" {\n   376→\t\tcert, err := tls.LoadX509KeyPair(\n   377→\t\t\tconfig.Keys.HTTPSCertFile, config.Keys.HTTPSKeyFile)\n   378→\t\tif err != nil {\n   379→\t\t\treturn fmt.Errorf(\"loading X509 keypair (check 'https-cert-file' and 'https-key-file' in config.json): %w\", err)\n   380→\t\t}\n   381→\t\tlistener = tls.NewListener(listener, &tls.Config{\n   382→\t\t\tCertificates: []tls.Certificate{cert},\n   383→\t\t\tCipherSuites: []uint16{\n   384→\t\t\t\ttls.TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256,\n   385→\t\t\t\ttls.TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256,\n   386→\t\t\t},\n   387→\t\t\tMinVersion:               tls.VersionTLS12,\n   388→\t\t\tPreferServerCipherSuites: true,\n   389→\t\t})\n   390→\t\tcclog.Infof(\"HTTPS server listening at %s...\", config.Keys.Addr)\n   391→\t} else {\n   392→\t\tcclog.Infof(\"HTTP server listening at %s...\", config.Keys.Addr)\n   393→\t}\n   394→\t//\n   395→\t// Because this program will want to bind to a privileged port (like 80), the listener must\n   396→\t// be established first, then the user can be changed, and after that,\n   397→\t// the actual http server can be started.\n   398→\tif err := runtime.DropPrivileges(config.Keys.Group, config.Keys.User); err != nil {\n   399→\t\treturn fmt.Errorf(\"dropping privileges: %w\", err)\n   400→\t}\n   401→\n   402→\t// Handle context cancellation for graceful shutdown\n   403→\tgo func() {\n   404→\t\t<-ctx.Done()\n   405→\t\tshutdownCtx, cancel := context.WithTimeout(context.Background(), 30*time.Second)\n   406→\t\tdefer cancel()\n   407→\t\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n   408→\t\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n   409→\t\t}\n   410→\t}()\n   411→\n   412→\tif err = s.server.Serve(listener); err != nil && err != http.ErrServerClosed {\n   413→\t\treturn fmt.Errorf(\"server failed: %w\", err)\n   414→\t}\n   415→\treturn nil\n   416→}\n   417→\n   418→func (s *Server) Shutdown(ctx context.Context) {\n   419→\t// Create a shutdown context with timeout\n   420→\tshutdownCtx, cancel := context.WithTimeout(ctx, 30*time.Second)\n   421→\tdefer cancel()\n   422→\n   423→\tnc := nats.GetClient()\n   424→\tif nc != nil {\n   425→\t\tnc.Close()\n   426→\t}\n   427→\n   428→\t// First shut down the server gracefully (waiting for all ongoing requests)\n   429→\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n   430→\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n   431→\t}\n   432→\n   433→\t// Archive all the metric store data\n   434→\tms := metricstore.GetMemoryStore()\n   435→\n   436→\tif ms != nil {\n   437→\t\tmetricstore.Shutdown()\n   438→\t}\n   439→\n   440→\t// Shutdown archiver with 10 second timeout for fast shutdown\n   441→\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n   442→\t\tcclog.Warnf(\"Archiver shutdown: %v\", err)\n   443→\t}\n   444→}\n   445→"}]},"uuid":"e80e88ea-c92f-4452-9d3b-6f83428a0410","timestamp":"2026-03-18T05:41:38.190Z"},"type":"agent_progress","prompt":"","agentId":"ac3d6ab97cbca2a87"},"toolUseID":"agent_msg_01XtAvaBKcd33EX14W49Jo9S","parentToolUseID":"toolu_01ECFd5J84HUYyMFEYwC2jab","uuid":"44b2a582-77b1-484e-9734-c68d6cda5a65","timestamp":"2026-03-18T05:41:38.316Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"parentUuid":"81ff704b-3685-4dc9-82f1-7abcc89019c7","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Le35ksfcXKehZK8WHPrBQq","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package metricstore provides an efficient in-memory time-series metric storage system\n     7→// with support for hierarchical data organization, checkpointing, and archiving.\n     8→//\n     9→// The package organizes metrics in a tree structure (cluster → host → component) and\n    10→// provides concurrent read/write access to metric data with configurable aggregation strategies.\n    11→// Background goroutines handle periodic checkpointing (JSON or Avro format), archiving old data,\n    12→// and enforcing retention policies.\n    13→//\n    14→// Key features:\n    15→//   - In-memory metric storage with configurable retention\n    16→//   - Hierarchical data organization (selectors)\n    17→//   - Concurrent checkpoint/archive workers\n    18→//   - Support for sum and average aggregation\n    19→//   - NATS integration for metric ingestion\n    20→package metricstore\n    21→\n    22→import (\n    23→\t\"bytes\"\n    24→\t\"context\"\n    25→\t\"encoding/json\"\n    26→\t\"errors\"\n    27→\t\"fmt\"\n    28→\t\"runtime\"\n    29→\t\"runtime/debug\"\n    30→\t\"slices\"\n    31→\t\"sync\"\n    32→\t\"time\"\n    33→\n    34→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    35→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    36→\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n    37→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    38→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n    39→)\n    40→\n    41→// GlobalState holds the global state for the metric store with thread-safe access.\n    42→type GlobalState struct {\n    43→\tmu                sync.RWMutex\n    44→\tlastRetentionTime int64\n    45→\tselectorsExcluded bool\n    46→}\n    47→\n    48→var (\n    49→\tsingleton  sync.Once\n    50→\tmsInstance *MemoryStore\n    51→\t// shutdownFunc stores the context cancellation function created in Init\n    52→\t// and is called during Shutdown to cancel all background goroutines\n    53→\tshutdownFunc   context.CancelFunc\n    54→\tshutdownFuncMu sync.Mutex // Protects shutdownFunc from concurrent access\n    55→\t// Create a global instance\n    56→\tstate = &GlobalState{}\n    57→)\n    58→\n    59→// NodeProvider provides information about nodes currently in use by running jobs.\n    60→//\n    61→// This interface allows metricstore to query job information without directly\n    62→// depending on the repository package, breaking the import cycle.\n    63→//\n    64→// Implementations should return nodes that are actively processing jobs started\n    65→// before the given timestamp. These nodes will be excluded from retention-based\n    66→// garbage collection to prevent data loss for jobs that are still running or\n    67→// recently completed.\n    68→type NodeProvider interface {\n    69→\t// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n    70→\t// that are currently in use by jobs that started before the given timestamp.\n    71→\t//\n    72→\t// Parameters:\n    73→\t//   - ts: Unix timestamp threshold - returns nodes with jobs started before this time\n    74→\t//\n    75→\t// Returns:\n    76→\t//   - Map of cluster names to lists of node hostnames that should be excluded from garbage collection\n    77→\t//   - Error if the query fails\n    78→\tGetUsedNodes(ts int64) (map[string][]string, error)\n    79→}\n    80→\n    81→// Metric represents a single metric data point to be written to the store.\n    82→type Metric struct {\n    83→\tName  string\n    84→\tValue schema.Float\n    85→\t// MetricConfig contains frequency and aggregation settings for this metric.\n    86→\t// If Frequency is 0, configuration will be looked up from MemoryStore.Metrics during Write().\n    87→\tMetricConfig MetricConfig\n    88→}\n    89→\n    90→// MemoryStore is the main in-memory time-series metric storage implementation.\n    91→//\n    92→// It organizes metrics in a hierarchical tree structure where each level represents\n    93→// a component of the system hierarchy (e.g., cluster → host → CPU). Each level can\n    94→// store multiple metrics as time-series buffers.\n    95→//\n    96→// The store is initialized as a singleton via InitMetrics() and accessed via GetMemoryStore().\n    97→// All public methods are safe for concurrent use.\n    98→type MemoryStore struct {\n    99→\tMetrics      map[string]MetricConfig\n   100→\troot         Level\n   101→\tnodeProvider NodeProvider\n   102→}\n   103→\n   104→// Init initializes the metric store from configuration and starts background workers.\n   105→//\n   106→// This function must be called exactly once before any other metricstore operations.\n   107→// It performs the following initialization steps:\n   108→//  1. Validates and decodes the metric store configuration\n   109→//  2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n   110→//  3. Loads metric configurations from all registered clusters\n   111→//  4. Restores checkpoints within the retention window\n   112→//  5. Starts background workers for retention, checkpointing, archiving, and monitoring\n   113→//  6. Optionally subscribes to NATS for real-time metric ingestion\n   114→//\n   115→// Parameters:\n   116→//   - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n   117→//   - wg: WaitGroup that will be incremented for each background goroutine started\n   118→//\n   119→// The function will call cclog.Fatal on critical errors during initialization.\n   120→// Use Shutdown() to cleanly stop all background workers started by Init().\n   121→//\n   122→// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n   123→// receiving termination signals to ensure checkpoint data is persisted.\n   124→func Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n   125→\tstartupTime := time.Now()\n   126→\n   127→\tif rawConfig != nil {\n   128→\t\tconfig.Validate(configSchema, rawConfig)\n   129→\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n   130→\t\tdec.DisallowUnknownFields()\n   131→\t\tif err := dec.Decode(&Keys); err != nil {\n   132→\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n   133→\t\t}\n   134→\t}\n   135→\n   136→\t// Set NumWorkers from config or use default\n   137→\tif Keys.NumWorkers <= 0 {\n   138→\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n   139→\t}\n   140→\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n   141→\n   142→\t// Pass the config.MetricStoreKeys\n   143→\tInitMetrics(metrics)\n   144→\n   145→\tms := GetMemoryStore()\n   146→\n   147→\td, err := time.ParseDuration(Keys.RetentionInMemory)\n   148→\tif err != nil {\n   149→\t\tcclog.Fatal(err)\n   150→\t}"}]},"uuid":"250df318-09e1-4c33-bdd4-10d4ae1b882e","timestamp":"2026-03-18T05:41:40.450Z"},"type":"agent_progress","prompt":"","agentId":"ac3d6ab97cbca2a87"},"toolUseID":"agent_msg_01XtAvaBKcd33EX14W49Jo9S","parentToolUseID":"toolu_01ECFd5J84HUYyMFEYwC2jab","uuid":"ebb2a32c-5258-4d1e-b72f-865ee5490c13","timestamp":"2026-03-18T05:41:40.631Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"parentUuid":"683df96b-9d36-43b2-8e5e-d277b5693952","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011vBazsKtHHrJDikgS8cRYS","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// This file implements ingestion of InfluxDB line-protocol metric data received\n     7→// over NATS. Each line encodes one metric sample with the following structure:\n     8→//\n     9→//\t<measurement>[,cluster=<c>][,hostname=<h>][,type=<t>][,type-id=<id>][,subtype=<s>][,stype-id=<id>] value=<v> [<timestamp>]\n    10→//\n    11→// The measurement name identifies the metric (e.g. \"cpu_load\"). Tags provide\n    12→// routing information (cluster, host) and optional sub-device selectors (type,\n    13→// subtype). Only one field is expected per line: \"value\".\n    14→//\n    15→// After decoding, each sample is:\n    16→//  1. Written to the in-memory store via ms.WriteToLevel.\n    17→//  2. If the checkpoint format is \"wal\", also forwarded to the WAL staging\n    18→//     goroutine via the WALMessages channel for durable write-ahead logging.\n    19→package metricstore\n    20→\n    21→import (\n    22→\t\"bytes\"\n    23→\t\"context\"\n    24→\t\"fmt\"\n    25→\t\"sync\"\n    26→\t\"sync/atomic\"\n    27→\t\"time\"\n    28→\n    29→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    30→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    31→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    32→\t\"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n    33→)\n    34→\n    35→// ReceiveNats subscribes to all configured NATS subjects and feeds incoming\n    36→// line-protocol messages into the MemoryStore.\n    37→//\n    38→// When workers > 1 a pool of goroutines drains a shared channel so that\n    39→// multiple messages can be decoded in parallel. With workers == 1 the NATS\n    40→// callback decodes inline (no channel overhead, lower latency).\n    41→//\n    42→// The function blocks until ctx is cancelled and all worker goroutines have\n    43→// finished. It returns nil when the NATS client is not configured; callers\n    44→// should treat that as a no-op rather than an error.\n    45→func ReceiveNats(ms *MemoryStore,\n    46→\tworkers int,\n    47→\tctx context.Context,\n    48→) error {\n    49→\tnc := nats.GetClient()\n    50→\n    51→\tif nc == nil {\n    52→\t\tcclog.Warn(\"NATS client not initialized\")\n    53→\t\treturn nil\n    54→\t}\n    55→\n    56→\tvar wg sync.WaitGroup\n    57→\tmsgs := make(chan []byte, max(workers*256, 8192))\n    58→\n    59→\tfor _, sc := range *Keys.Subscriptions {\n    60→\t\tclusterTag := sc.ClusterTag\n    61→\t\tif workers > 1 {\n    62→\t\t\twg.Add(workers)\n    63→\n    64→\t\t\tfor range workers {\n    65→\t\t\t\tgo func() {\n    66→\t\t\t\t\tdefer wg.Done()\n    67→\t\t\t\t\tfor m := range msgs {\n    68→\t\t\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(m)\n    69→\t\t\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n    70→\t\t\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n    71→\t\t\t\t\t\t}\n    72→\t\t\t\t\t}\n    73→\t\t\t\t}()\n    74→\t\t\t}\n    75→\n    76→\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n    77→\t\t\t\tselect {\n    78→\t\t\t\tcase msgs <- data:\n    79→\t\t\t\tcase <-ctx.Done():\n    80→\t\t\t\t}\n    81→\t\t\t})\n    82→\t\t} else {\n    83→\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n    84→\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(data)\n    85→\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n    86→\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n    87→\t\t\t\t}\n    88→\t\t\t})\n    89→\t\t}\n    90→\t\tcclog.Infof(\"NATS subscription to '%s' established\", sc.SubscribeTo)\n    91→\t}\n    92→\n    93→\tgo func() {\n    94→\t\t<-ctx.Done()\n    95→\t\tclose(msgs)\n    96→\t}()\n    97→\n    98→\twg.Wait()\n    99→\n   100→\treturn nil\n   101→}\n   102→\n   103→// reorder prepends prefix to buf in-place when buf has enough spare capacity,\n   104→// avoiding an allocation. Falls back to a regular append otherwise.\n   105→//\n   106→// It is used to assemble the \"type<type-id>\" and \"subtype<stype-id>\" selector\n   107→// strings when the type tag arrives before the type-id tag in the line, so the\n   108→// two byte slices need to be concatenated in tag-declaration order regardless\n   109→// of wire order.\n   110→func reorder(buf, prefix []byte) []byte {\n   111→\tn := len(prefix)\n   112→\tm := len(buf)\n   113→\tif cap(buf) < m+n {\n   114→\t\treturn append(prefix[:n:n], buf...)\n   115→\t} else {\n   116→\t\tbuf = buf[:n+m]\n   117→\t\tfor i := m - 1; i >= 0; i-- {\n   118→\t\t\tbuf[i+n] = buf[i]\n   119→\t\t}\n   120→\t\tfor i := range n {\n   121→\t\t\tbuf[i] = prefix[i]\n   122→\t\t}\n   123→\t\treturn buf\n   124→\t}\n   125→}\n   126→\n   127→// walDropped counts WAL messages dropped due to a full channel.\n   128→// Logged periodically; not critical since binary snapshots capture the data.\n   129→var walDropped atomic.Int64\n   130→\n   131→// decodeState holds the per-call scratch buffers used by DecodeLine.\n   132→// Instances are recycled via decodeStatePool to avoid repeated allocations\n   133→// during high-throughput ingestion.\n   134→type decodeState struct {\n   135→\t// metricBuf holds a copy of the current measurement name (line-protocol\n   136→\t// measurement field). Copied because dec.Measurement() returns a slice\n   137→\t// that is invalidated by the next decoder call.\n   138→\tmetricBuf []byte\n   139→\n   140→\t// selector is the sub-device path passed to WriteToLevel and WALMessage\n   141→\t// (e.g. [\"socket0\"] or [\"socket0\", \"memctrl1\"]). Reused across lines.\n   142→\tselector []string\n   143→\n   144→\t// typeBuf accumulates the concatenated \"type\"+\"type-id\" tag value for the\n   145→\t// current line. Reset at the start of each line's tag-decode loop.\n   146→\ttypeBuf []byte\n   147→\n   148→\t// subTypeBuf accumulates the concatenated \"subtype\"+\"stype-id\" tag value.\n   149→\t// Reset at the start of each line's tag-decode loop.\n   150→\tsubTypeBuf []byte\n   151→\n   152→\t// prevTypeBytes / prevTypeStr cache the last seen typeBuf content and its\n   153→\t// string conversion. Because consecutive lines in a batch typically address\n   154→\t// the same sub-device, the cache hit rate is very high and avoids\n   155→\t// repeated []byte→string allocations.\n   156→\tprevTypeBytes []byte\n   157→\tprevTypeStr   string\n   158→\n   159→\t// prevSubTypeBytes / prevSubTypeStr are the same cache for the subtype.\n   160→\tprevSubTypeBytes []byte\n   161→\tprevSubTypeStr   string\n   162→}\n   163→\n   164→// decodeStatePool recycles decodeState values across DecodeLine calls to\n   165→// reduce GC pressure during sustained metric ingestion.\n   166→var decodeStatePool = sync.Pool{\n   167→\tNew: func() any {\n   168→\t\treturn &decodeState{\n   169→\t\t\tmetricBuf:  make([]byte, 0, 16),\n   170→\t\t\tselector:   make([]string, 0, 4),\n   171→\t\t\ttypeBuf:    make([]byte, 0, 16),\n   172→\t\t\tsubTypeBuf: make([]byte, 0, 16),\n   173→\t\t}\n   174→\t},\n   175→}\n   176→\n   177→// DecodeLine reads all lines from dec (InfluxDB line-protocol) and writes each\n   178→// decoded metric sample into ms.\n   179→//\n   180→// clusterDefault is used as the cluster name for lines that do not carry a\n   181→// \"cluster\" tag. Callers typically supply the ClusterTag value from the NATS\n   182→// subscription configuration.\n   183→//\n   184→// Performance notes:\n   185→//   - A decodeState is obtained from decodeStatePool to reuse scratch buffers.\n   186→//   - The Level pointer (host-level node in the metric tree) is cached across\n   187→//     consecutive lines that share the same cluster+host pair to avoid\n   188→//     repeated lock acquisitions on the root and cluster levels.\n   189→//   - []byte→string conversions for type/subtype selectors are cached via\n   190→//     prevType*/prevSubType* fields because batches typically repeat the same\n   191→//     sub-device identifiers.\n   192→//   - Timestamp parsing tries Second precision first; if that fails it retries\n   193→//     Millisecond, Microsecond, and Nanosecond in turn. A missing timestamp\n   194→//     falls back to time.Now().\n   195→//\n   196→// When the checkpoint format is \"wal\" each successfully decoded sample is also\n   197→// sent to WALMessages so the WAL staging goroutine can persist it durably\n   198→// before the next binary snapshot.\n   199→func DecodeLine(dec *lineprotocol.Decoder,\n   200→\tms *MemoryStore,\n   201→\tclusterDefault string,\n   202→) error {\n   203→\t// Reduce allocations in loop:\n   204→\tt := time.Now()\n   205→\tmetric := Metric{}\n   206→\tst := decodeStatePool.Get().(*decodeState)\n   207→\tdefer decodeStatePool.Put(st)\n   208→\n   209→\t// Optimize for the case where all lines in a \"batch\" are about the same\n   210→\t// cluster and host. By using `WriteToLevel` (level = host), we do not need\n   211→\t// to take the root- and cluster-level lock as often.\n   212→\tvar lvl *Level = nil\n   213→\tprevCluster, prevHost := \"\", \"\"\n   214→\n   215→\tvar ok bool\n   216→\tfor dec.Next() {\n   217→\t\trawmeasurement, err := dec.Measurement()\n   218→\t\tif err != nil {\n   219→\t\t\treturn err\n   220→\t\t}\n   221→\n   222→\t\t// Needs to be copied because another call to dec.* would\n   223→\t\t// invalidate the returned slice.\n   224→\t\tst.metricBuf = append(st.metricBuf[:0], rawmeasurement...)\n   225→\n   226→\t\t// The go compiler optimizes map[string(byteslice)] lookups:\n   227→\t\tmetric.MetricConfig, ok = ms.Metrics[string(rawmeasurement)]\n   228→\t\tif !ok {\n   229→\t\t\tcontinue\n   230→\t\t}\n   231→\n   232→\t\tst.typeBuf, st.subTypeBuf = st.typeBuf[:0], st.subTypeBuf[:0]\n   233→\t\tcluster, host := clusterDefault, \"\"\n   234→\t\tfor {\n   235→\t\t\tkey, val, err := dec.NextTag()\n   236→\t\t\tif err != nil {\n   237→\t\t\t\treturn err\n   238→\t\t\t}\n   239→\t\t\tif key == nil {\n   240→\t\t\t\tbreak\n   241→\t\t\t}\n   242→\n   243→\t\t\t// The go compiler optimizes string([]byte{...}) == \"...\":\n   244→\t\t\tswitch string(key) {\n   245→\t\t\tcase \"cluster\":\n   246→\t\t\t\tif string(val) == prevCluster {\n   247→\t\t\t\t\tcluster = prevCluster\n   248→\t\t\t\t} else {\n   249→\t\t\t\t\tcluster = string(val)\n   250→\t\t\t\t\tlvl = nil\n   251→\t\t\t\t}\n   252→\t\t\tcase \"hostname\", \"host\":\n   253→\t\t\t\tif string(val) == prevHost {\n   254→\t\t\t\t\thost = prevHost\n   255→\t\t\t\t} else {\n   256→\t\t\t\t\thost = string(val)\n   257→\t\t\t\t\tlvl = nil\n   258→\t\t\t\t}\n   259→\t\t\tcase \"type\":\n   260→\t\t\t\tif string(val) == \"node\" {\n   261→\t\t\t\t\tbreak\n   262→\t\t\t\t}\n   263→\n   264→\t\t\t\t// We cannot be sure that the \"type\" tag comes before the \"type-id\" tag:\n   265→\t\t\t\tif len(st.typeBuf) == 0 {\n   266→\t\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n   267→\t\t\t\t} else {\n   268→\t\t\t\t\tst.typeBuf = reorder(st.typeBuf, val)\n   269→\t\t\t\t}\n   270→\t\t\tcase \"type-id\":\n   271→\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n   272→\t\t\tcase \"subtype\":\n   273→\t\t\t\t// We cannot be sure that the \"subtype\" tag comes before the \"stype-id\" tag:\n   274→\t\t\t\tif len(st.subTypeBuf) == 0 {\n   275→\t\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n   276→\t\t\t\t} else {\n   277→\t\t\t\t\tst.subTypeBuf = reorder(st.subTypeBuf, val)\n   278→\t\t\t\t}\n   279→\t\t\tcase \"stype-id\":\n   280→\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n   281→\t\t\tdefault:\n   282→\t\t\t}\n   283→\t\t}\n   284→\n   285→\t\t// If the cluster or host changed, the lvl was set to nil\n   286→\t\tif lvl == nil {\n   287→\t\t\tst.selector = st.selector[:2]\n   288→\t\t\tst.selector[0], st.selector[1] = cluster, host\n   289→\t\t\tlvl = ms.GetLevel(st.selector)\n   290→\t\t\tprevCluster, prevHost = cluster, host\n   291→\t\t}\n   292→\n   293→\t\t// subtypes: cache []byte→string conversions; messages in a batch typically\n   294→\t\t// share the same type/subtype so the hit rate is very high.\n   295→\t\tst.selector = st.selector[:0]\n   296→\t\tif len(st.typeBuf) > 0 {\n   297→\t\t\tif !bytes.Equal(st.typeBuf, st.prevTypeBytes) {\n   298→\t\t\t\tst.prevTypeBytes = append(st.prevTypeBytes[:0], st.typeBuf...)\n   299→\t\t\t\tst.prevTypeStr = string(st.typeBuf)\n   300→\t\t\t}\n   301→\t\t\tst.selector = append(st.selector, st.prevTypeStr)\n   302→\t\t\tif len(st.subTypeBuf) > 0 {\n   303→\t\t\t\tif !bytes.Equal(st.subTypeBuf, st.prevSubTypeBytes) {\n   304→\t\t\t\t\tst.prevSubTypeBytes = append(st.prevSubTypeBytes[:0], st.subTypeBuf...)\n   305→\t\t\t\t\tst.prevSubTypeStr = string(st.subTypeBuf)\n   306→\t\t\t\t}\n   307→\t\t\t\tst.selector = append(st.selector, st.prevSubTypeStr)\n   308→\t\t\t}\n   309→\t\t}\n   310→\n   311→\t\tfor {\n   312→\t\t\tkey, val, err := dec.NextField()\n   313→\t\t\tif err != nil {\n   314→\t\t\t\treturn err\n   315→\t\t\t}\n   316→\n   317→\t\t\tif key == nil {\n   318→\t\t\t\tbreak\n   319→\t\t\t}\n   320→\n   321→\t\t\tif string(key) != \"value\" {\n   322→\t\t\t\treturn fmt.Errorf(\"host %s: unknown field: '%s' (value: %#v)\", host, string(key), val)\n   323→\t\t\t}\n   324→\n   325→\t\t\tif val.Kind() == lineprotocol.Float {\n   326→\t\t\t\tmetric.Value = schema.Float(val.FloatV())\n   327→\t\t\t} else if val.Kind() == lineprotocol.Int {\n   328→\t\t\t\tmetric.Value = schema.Float(val.IntV())\n   329→\t\t\t} else if val.Kind() == lineprotocol.Uint {\n   330→\t\t\t\tmetric.Value = schema.Float(val.UintV())\n   331→\t\t\t} else {\n   332→\t\t\t\treturn fmt.Errorf(\"host %s: unsupported value type in message: %s\", host, val.Kind().String())\n   333→\t\t\t}\n   334→\t\t}\n   335→\n   336→\t\tif t, err = dec.Time(lineprotocol.Second, t); err != nil {\n   337→\t\t\tt = time.Now()\n   338→\t\t\tif t, err = dec.Time(lineprotocol.Millisecond, t); err != nil {\n   339→\t\t\t\tt = time.Now()\n   340→\t\t\t\tif t, err = dec.Time(lineprotocol.Microsecond, t); err != nil {\n   341→\t\t\t\t\tt = time.Now()\n   342→\t\t\t\t\tif t, err = dec.Time(lineprotocol.Nanosecond, t); err != nil {\n   343→\t\t\t\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n   344→\t\t\t\t\t}\n   345→\t\t\t\t}\n   346→\t\t\t}\n   347→\t\t}\n   348→\n   349→\t\tif err != nil {\n   350→\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n   351→\t\t}\n   352→\n   353→\t\ttime := t.Unix()\n   354→\n   355→\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n   356→\t\t\tmsg := &WALMessage{\n   357→\t\t\t\tMetricName: string(st.metricBuf),\n   358→\t\t\t\tCluster:    cluster,\n   359→\t\t\t\tNode:       host,\n   360→\t\t\t\tSelector:   append([]string{}, st.selector...),\n   361→\t\t\t\tValue:      metric.Value,\n   362→\t\t\t\tTimestamp:  time,\n   363→\t\t\t}\n   364→\t\t\tif !SendWALMessage(msg) {\n   365→\t\t\t\t// WAL shard channel full — metric is written to memory store but not WAL.\n   366→\t\t\t\t// Next binary snapshot will capture it.\n   367→\t\t\t\tif dropped := walDropped.Add(1); dropped%10000 == 1 {\n   368→\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> WAL shard channel full, dropped %d messages (data safe in memory, next snapshot will capture)\", dropped)\n   369→\t\t\t\t}\n   370→\t\t\t}\n   371→\t\t}\n   372→\n   373→\t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n   374→\t\t\tcclog.Warnf(\"write error for host %s metric %s at ts %d: %s\", host, string(st.metricBuf), time, err.Error())\n   375→\t\t\tcontinue\n   376→\t\t}\n   377→\t}\n   378→\treturn nil\n   379→}\n   380→"}]},"uuid":"7165e57d-064c-4333-b384-82b4f0e75eaf","timestamp":"2026-03-18T05:41:40.659Z"},"type":"agent_progress","prompt":"","agentId":"ac3d6ab97cbca2a87"},"toolUseID":"agent_msg_01XtAvaBKcd33EX14W49Jo9S","parentToolUseID":"toolu_01ECFd5J84HUYyMFEYwC2jab","uuid":"043c63d3-a1a4-4e1b-b953-d70e06dce152","timestamp":"2026-03-18T05:41:40.945Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"parentUuid":"48245617-793e-4120-b1d7-cf3c1d7afb32","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NTLALYqRwA1j2dDhrDsFoz","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n     7→//\n     8→// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n     9→// per host, eliminating the extra memory overhead of the AvroStore and providing\n    10→// truly continuous (per-write) crash safety.\n    11→//\n    12→// # Architecture\n    13→//\n    14→//\tMetric write (DecodeLine)\n    15→//\t      │\n    16→//\t      ├─► WriteToLevel()    → main MemoryStore (unchanged)\n    17→//\t      │\n    18→//\t      └─► WALMessages channel\n    19→//\t               │\n    20→//\t               ▼\n    21→//\t        WALStaging goroutine\n    22→//\t               │\n    23→//\t               ▼\n    24→//\t        checkpoints/cluster/host/current.wal  (append-only, binary)\n    25→//\n    26→//\tPeriodic checkpoint (Checkpointing goroutine):\n    27→//\t  1. Write <timestamp>.bin snapshot (column-oriented, from main tree)\n    28→//\t  2. Signal WALStaging to truncate current.wal per host\n    29→//\n    30→//\tOn restart (FromCheckpoint):\n    31→//\t  1. Load most recent <timestamp>.bin snapshot\n    32→//\t  2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n    33→//\n    34→// # WAL Record Format\n    35→//\n    36→//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n    37→//\n    38→//\tpayload:\n    39→//\t  [8B timestamp int64]\n    40→//\t  [2B metric_name_len uint16][N metric name bytes]\n    41→//\t  [1B selector_count uint8]\n    42→//\t  per selector: [1B selector_len uint8][M selector bytes]\n    43→//\t  [4B value float32 bits]\n    44→//\n    45→// # Binary Snapshot Format\n    46→//\n    47→//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n    48→//\tLevel tree (recursive):\n    49→//\t  [4B num_metrics uint32]\n    50→//\t  per metric:\n    51→//\t    [2B name_len uint16][N name bytes]\n    52→//\t    [8B frequency int64][8B start int64]\n    53→//\t    [4B num_values uint32][num_values × 4B float32]\n    54→//\t  [4B num_children uint32]\n    55→//\t  per child: [2B name_len uint16][N name bytes] + Level (recursive)\n    56→package metricstore\n    57→\n    58→import (\n    59→\t\"bufio\"\n    60→\t\"context\"\n    61→\t\"encoding/binary\"\n    62→\t\"fmt\"\n    63→\t\"hash/crc32\"\n    64→\t\"hash/fnv\"\n    65→\t\"io\"\n    66→\t\"math\"\n    67→\t\"os\"\n    68→\t\"path\"\n    69→\t\"strings\"\n    70→\t\"sync\"\n    71→\t\"sync/atomic\"\n    72→\n    73→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    74→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    75→)\n    76→\n    77→// Magic numbers for binary formats.\n    78→const (\n    79→\twalFileMagic   = uint32(0xCC1DA701) // WAL file header magic\n    80→\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n    81→\tsnapFileMagic  = uint32(0xCC5B0001) // Binary snapshot magic\n    82→)\n    83→\n    84→// walShardChs holds per-shard channels for WAL messages.\n    85→// Initialized by WALStaging; nil when WAL is not active.\n    86→var walShardChs []chan *WALMessage\n    87→\n    88→// walShardRotateChs holds per-shard channels for WAL rotation requests.\n    89→var walShardRotateChs []chan walRotateReq\n    90→\n    91→// walNumShards stores the number of shards (set during WALStaging init).\n    92→var walNumShards int\n    93→\n    94→// WALMessage represents a single metric write to be appended to the WAL.\n    95→// Cluster and Node are NOT stored in the WAL record (inferred from file path).\n    96→type WALMessage struct {\n    97→\tMetricName string\n    98→\tCluster    string\n    99→\tNode       string\n   100→\tSelector   []string\n   101→\tValue      schema.Float\n   102→\tTimestamp  int64\n   103→}\n   104→\n   105→// walRotateReq requests WAL file rotation for a specific host directory.\n   106→// The done channel is closed by the WAL goroutine when rotation is complete.\n   107→type walRotateReq struct {\n   108→\thostDir string\n   109→\tdone    chan struct{}\n   110→}\n   111→\n   112→// walFileState holds an open WAL file handle and buffered writer for one host directory.\n   113→type walFileState struct {\n   114→\tf *os.File\n   115→\tw *bufio.Writer\n   116→}\n   117→\n   118→// walShardIndex computes which shard a message belongs to based on cluster+node.\n   119→// Uses FNV-1a hash for fast, well-distributed mapping.\n   120→func walShardIndex(cluster, node string) int {\n   121→\th := fnv.New32a()\n   122→\th.Write([]byte(cluster))\n   123→\th.Write([]byte{0})\n   124→\th.Write([]byte(node))\n   125→\treturn int(h.Sum32()) % walNumShards\n   126→}\n   127→\n   128→// SendWALMessage routes a WAL message to the appropriate shard channel.\n   129→// Returns false if the channel is full (message dropped).\n   130→func SendWALMessage(msg *WALMessage) bool {\n   131→\tif walShardChs == nil {\n   132→\t\treturn false\n   133→\t}\n   134→\tshard := walShardIndex(msg.Cluster, msg.Node)\n   135→\tselect {\n   136→\tcase walShardChs[shard] <- msg:\n   137→\t\treturn true\n   138→\tdefault:\n   139→\t\treturn false\n   140→\t}\n   141→}\n   142→\n   143→// WALStaging starts N sharded background goroutines that receive WALMessage items\n   144→// and append binary WAL records to per-host current.wal files.\n   145→// Each shard owns a subset of hosts (determined by hash of cluster+node),\n   146→// parallelizing serialization and I/O while keeping per-host writes serial.\n   147→func WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n   148→\tif Keys.Checkpoints.FileFormat == \"json\" {\n   149→\t\treturn\n   150→\t}"}]},"uuid":"e31a9ad4-0a6d-43e8-8991-1fdb50e24bb4","timestamp":"2026-03-18T05:41:40.970Z"},"type":"agent_progress","prompt":"","agentId":"ac3d6ab97cbca2a87"},"toolUseID":"agent_msg_01XtAvaBKcd33EX14W49Jo9S","parentToolUseID":"toolu_01ECFd5J84HUYyMFEYwC2jab","uuid":"64611ca8-b209-4da4-9016-30d10f1d2651","timestamp":"2026-03-18T05:41:40.971Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"parentUuid":"790e20d0-4aa1-41b2-94c5-a2083c9053a0","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015HcARY6MPyFhfC5ZG1wabm","type":"tool_result","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file implements ingestion of InfluxDB line-protocol metric data received\n// over NATS. Each line encodes one metric sample with the following structure:\n//\n//\t<measurement>[,cluster=<c>][,hostname=<h>][,type=<t>][,type-id=<id>][,subtype=<s>][,stype-id=<id>] value=<v> [<timestamp>]\n//\n// The measurement name identifies the metric (e.g. \"cpu_load\"). Tags provide\n// routing information (cluster, host) and optional sub-device selectors (type,\n// subtype). Only one field is expected per line: \"value\".\n//\n// After decoding, each sample is:\n//  1. Written to the in-memory store via ms.WriteToLevel.\n//  2. If the checkpoint format is \"wal\", also forwarded to the WAL staging\n//     goroutine via the WALMessages channel for durable write-ahead logging.\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\t\"sync/atomic\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// ReceiveNats subscribes to all configured NATS subjects and feeds incoming\n// line-protocol messages into the MemoryStore.\n//\n// When workers > 1 a pool of goroutines drains a shared channel so that\n// multiple messages can be decoded in parallel. With workers == 1 the NATS\n// callback decodes inline (no channel overhead, lower latency).\n//\n// The function blocks until ctx is cancelled and all worker goroutines have\n// finished. It returns nil when the NATS client is not configured; callers\n// should treat that as a no-op rather than an error.\nfunc ReceiveNats(ms *MemoryStore,\n\tworkers int,\n\tctx context.Context,\n) error {\n\tnc := nats.GetClient()\n\n\tif nc == nil {\n\t\tcclog.Warn(\"NATS client not initialized\")\n\t\treturn nil\n\t}\n\n\tvar wg sync.WaitGroup\n\tmsgs := make(chan []byte, max(workers*256, 8192))\n\n\tfor _, sc := range *Keys.Subscriptions {\n\t\tclusterTag := sc.ClusterTag\n\t\tif workers > 1 {\n\t\t\twg.Add(workers)\n\n\t\t\tfor range workers {\n\t\t\t\tgo func() {\n\t\t\t\t\tdefer wg.Done()\n\t\t\t\t\tfor m := range msgs {\n\t\t\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(m)\n\t\t\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}()\n\t\t\t}\n\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tselect {\n\t\t\t\tcase msgs <- data:\n\t\t\t\tcase <-ctx.Done():\n\t\t\t\t}\n\t\t\t})\n\t\t} else {\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(data)\n\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\t\tcclog.Infof(\"NATS subscription to '%s' established\", sc.SubscribeTo)\n\t}\n\n\tgo func() {\n\t\t<-ctx.Done()\n\t\tclose(msgs)\n\t}()\n\n\twg.Wait()\n\n\treturn nil\n}\n\n// reorder prepends prefix to buf in-place when buf has enough spare capacity,\n// avoiding an allocation. Falls back to a regular append otherwise.\n//\n// It is used to assemble the \"type<type-id>\" and \"subtype<stype-id>\" selector\n// strings when the type tag arrives before the type-id tag in the line, so the\n// two byte slices need to be concatenated in tag-declaration order regardless\n// of wire order.\nfunc reorder(buf, prefix []byte) []byte {\n\tn := len(prefix)\n\tm := len(buf)\n\tif cap(buf) < m+n {\n\t\treturn append(prefix[:n:n], buf...)\n\t} else {\n\t\tbuf = buf[:n+m]\n\t\tfor i := m - 1; i >= 0; i-- {\n\t\t\tbuf[i+n] = buf[i]\n\t\t}\n\t\tfor i := range n {","is_error":false}]},"uuid":"c8784215-0687-42dd-b38e-548852792ea7","timestamp":"2026-03-18T05:41:44.423Z"},"type":"agent_progress","prompt":"","agentId":"ac3d6ab97cbca2a87"},"toolUseID":"agent_msg_01XtAvaBKcd33EX14W49Jo9S","parentToolUseID":"toolu_01ECFd5J84HUYyMFEYwC2jab","uuid":"0fba73ed-4bce-4ccd-9c0f-d6d465517311","timestamp":"2026-03-18T05:41:44.459Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"parentUuid":"676e3a04-72e3-485a-8ea9-8651730b6fe2","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01X9Sr5i6emHLSUdAARAaGit","type":"tool_result","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file implements ingestion of InfluxDB line-protocol metric data received\n// over NATS. Each line encodes one metric sample with the following structure:\n//\n//\t<measurement>[,cluster=<c>][,hostname=<h>][,type=<t>][,type-id=<id>][,subtype=<s>][,stype-id=<id>] value=<v> [<timestamp>]\n//\n// The measurement name identifies the metric (e.g. \"cpu_load\"). Tags provide\n// routing information (cluster, host) and optional sub-device selectors (type,\n// subtype). Only one field is expected per line: \"value\".\n//\n// After decoding, each sample is:\n//  1. Written to the in-memory store via ms.WriteToLevel.\n//  2. If the checkpoint format is \"wal\", also forwarded to the WAL staging\n//     goroutine via the WALMessages channel for durable write-ahead logging.\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\t\"sync/atomic\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// ReceiveNats subscribes to all configured NATS subjects and feeds incoming\n// line-protocol messages into the MemoryStore.\n//\n// When workers > 1 a pool of goroutines drains a shared channel so that\n// multiple messages can be decoded in parallel. With workers == 1 the NATS\n// callback decodes inline (no channel overhead, lower latency).\n//\n// The function blocks until ctx is cancelled and all worker goroutines have\n// finished. It returns nil when the NATS client is not configured; callers\n// should treat that as a no-op rather than an error.\nfunc ReceiveNats(ms *MemoryStore,\n\tworkers int,\n\tctx context.Context,\n) error {\n\tnc := nats.GetClient()\n\n\tif nc == nil {\n\t\tcclog.Warn(\"NATS client not initialized\")\n\t\treturn nil\n\t}\n\n\tvar wg sync.WaitGroup\n\tmsgs := make(chan []byte, max(workers*256, 8192))\n\n\tfor _, sc := range *Keys.Subscriptions {\n\t\tclusterTag := sc.ClusterTag\n\t\tif workers > 1 {\n\t\t\twg.Add(workers)\n\n\t\t\tfor range workers {\n\t\t\t\tgo func() {\n\t\t\t\t\tdefer wg.Done()\n\t\t\t\t\tfor m := range msgs {\n\t\t\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(m)\n\t\t\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}()\n\t\t\t}\n\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tselect {\n\t\t\t\tcase msgs <- data:\n\t\t\t\tcase <-ctx.Done():\n\t\t\t\t}\n\t\t\t})\n\t\t} else {\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(data)\n\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\t\tcclog.Infof(\"NATS subscription to '%s' established\", sc.SubscribeTo)\n\t}\n\n\tgo func() {\n\t\t<-ctx.Done()\n\t\tclose(msgs)\n\t}()\n\n\twg.Wait()\n\n\treturn nil\n}\n\n// reorder prepends prefix to buf in-place when buf has enough spare capacity,\n// avoiding an allocation. Falls back to a regular append otherwise.\n//\n// It is used to assemble the \"type<type-id>\" and \"subtype<stype-id>\" selector\n// strings when the type tag arrives before the type-id tag in the line, so the\n// two byte slices need to be concatenated in tag-declaration order regardless\n// of wire order.\nfunc reorder(buf, prefix []byte) []byte {","is_error":false}]},"uuid":"49542882-4942-4ea5-a858-c9d03cc91a2b","timestamp":"2026-03-18T05:41:46.286Z"},"type":"agent_progress","prompt":"","agentId":"ac3d6ab97cbca2a87"},"toolUseID":"agent_msg_01XtAvaBKcd33EX14W49Jo9S","parentToolUseID":"toolu_01ECFd5J84HUYyMFEYwC2jab","uuid":"f6367ff2-09fc-4674-909e-92fd0d8f9298","timestamp":"2026-03-18T05:41:46.286Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"f6367ff2-09fc-4674-909e-92fd0d8f9298","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-18T05:41:47.946Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_012KkRXdJAjjk5L2ZP1FGGri","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Rf82VWuVDMWeE1piTG18Da","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go","offset":150,"limit":200},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":1291,"cache_read_input_tokens":46022,"cache_creation":{"ephemeral_5m_input_tokens":1291,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZA1bMHBNQX2naspRmH4k","uuid":"77206d1d-4562-4f22-8499-139010db83b7"},"type":"agent_progress","prompt":"","agentId":"ac3d6ab97cbca2a87"},"toolUseID":"agent_msg_01XtAvaBKcd33EX14W49Jo9S","parentToolUseID":"toolu_01ECFd5J84HUYyMFEYwC2jab","uuid":"84d3139e-a64c-4a9f-93e6-e7df486645a3","timestamp":"2026-03-18T05:41:47.946Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"84d3139e-a64c-4a9f-93e6-e7df486645a3","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Rf82VWuVDMWeE1piTG18Da","type":"tool_result","content":"   150→\t}\n   151→\n   152→\trestoreFrom := startupTime.Add(-d)\n   153→\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n   154→\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n   155→\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n   156→\tif err != nil {\n   157→\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n   158→\t} else {\n   159→\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n   160→\t}\n   161→\n   162→\t// Try to use less memory by forcing a GC run here and then\n   163→\t// lowering the target percentage. The default of 100 means\n   164→\t// that only once the ratio of new allocations execeds the\n   165→\t// previously active heap, a GC is triggered.\n   166→\t// Forcing a GC here will set the \"previously active heap\"\n   167→\t// to a minumum.\n   168→\t// runtime.GC()\n   169→\n   170→\tctx, shutdown := context.WithCancel(context.Background())\n   171→\n   172→\tRetention(wg, ctx)\n   173→\tCheckpointing(wg, ctx)\n   174→\tCleanUp(wg, ctx)\n   175→\tWALStaging(wg, ctx)\n   176→\tMemoryUsageTracker(wg, ctx)\n   177→\n   178→\t// Note: Signal handling has been removed from this function.\n   179→\t// The caller is responsible for handling shutdown signals and calling\n   180→\t// the shutdown() function when appropriate.\n   181→\t// Store the shutdown function for later use by Shutdown()\n   182→\tshutdownFuncMu.Lock()\n   183→\tshutdownFunc = shutdown\n   184→\tshutdownFuncMu.Unlock()\n   185→\n   186→\tif Keys.Subscriptions != nil {\n   187→\t\terr = ReceiveNats(ms, Keys.NumWorkers, ctx)\n   188→\t\tif err != nil {\n   189→\t\t\tcclog.Fatal(err)\n   190→\t\t}\n   191→\t}\n   192→}\n   193→\n   194→// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n   195→//\n   196→// This function must be called before GetMemoryStore() and can only be called once due to\n   197→// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n   198→//\n   199→// Parameters:\n   200→//   - metrics: Map of metric names to their configurations (frequency and aggregation strategy)\n   201→//\n   202→// Panics if any metric has Frequency == 0, which indicates an invalid configuration.\n   203→//\n   204→// After this call, the global msInstance is ready for use via GetMemoryStore().\n   205→func InitMetrics(metrics map[string]MetricConfig) {\n   206→\tsingleton.Do(func() {\n   207→\t\toffset := 0\n   208→\t\tfor key, cfg := range metrics {\n   209→\t\t\tif cfg.Frequency == 0 {\n   210→\t\t\t\tpanic(\"[METRICSTORE]> invalid frequency\")\n   211→\t\t\t}\n   212→\n   213→\t\t\tmetrics[key] = MetricConfig{\n   214→\t\t\t\tFrequency:   cfg.Frequency,\n   215→\t\t\t\tAggregation: cfg.Aggregation,\n   216→\t\t\t\toffset:      offset,\n   217→\t\t\t}\n   218→\t\t\toffset += 1\n   219→\t\t}\n   220→\n   221→\t\tmsInstance = &MemoryStore{\n   222→\t\t\troot: Level{\n   223→\t\t\t\tmetrics:  make([]*buffer, len(metrics)),\n   224→\t\t\t\tchildren: make(map[string]*Level),\n   225→\t\t\t},\n   226→\t\t\tMetrics: metrics,\n   227→\t\t}\n   228→\t})\n   229→}\n   230→\n   231→// GetMemoryStore returns the singleton MemoryStore instance.\n   232→//\n   233→// Returns the initialized MemoryStore singleton. Calls cclog.Fatal if InitMetrics() was not called first.\n   234→//\n   235→// This function is safe for concurrent use after initialization.\n   236→func GetMemoryStore() *MemoryStore {\n   237→\tif msInstance == nil {\n   238→\t\tcclog.Warnf(\"[METRICSTORE]> MemoryStore not initialized!\")\n   239→\t}\n   240→\n   241→\treturn msInstance\n   242→}\n   243→\n   244→func (ms *MemoryStore) GetMetricFrequency(metricName string) (int64, error) {\n   245→\tif metric, ok := ms.Metrics[metricName]; ok {\n   246→\t\treturn metric.Frequency, nil\n   247→\t}\n   248→\treturn 0, fmt.Errorf(\"[METRICSTORE]> metric %s not found\", metricName)\n   249→}\n   250→\n   251→// SetNodeProvider sets the NodeProvider implementation for the MemoryStore.\n   252→// This must be called during initialization to provide job state information\n   253→// for selective buffer retention during Free operations.\n   254→// If not set, the Free function will fall back to freeing all buffers.\n   255→func (ms *MemoryStore) SetNodeProvider(provider NodeProvider) {\n   256→\tms.nodeProvider = provider\n   257→}\n   258→\n   259→// Shutdown performs a graceful shutdown of the metric store.\n   260→//\n   261→// This function cancels all background goroutines started by Init() and writes\n   262→// a final checkpoint to disk before returning. It should be called when the\n   263→// application receives a termination signal.\n   264→//\n   265→// The function will:\n   266→//  1. Cancel the context to stop all background workers\n   267→//  2. Close the WAL messages channel if using WAL format\n   268→//  3. Write a final checkpoint to preserve in-memory data\n   269→//  4. Log any errors encountered during shutdown\n   270→//\n   271→// Note: This function blocks until the final checkpoint is written.\n   272→func Shutdown() {\n   273→\tshutdownFuncMu.Lock()\n   274→\tdefer shutdownFuncMu.Unlock()\n   275→\tif shutdownFunc != nil {\n   276→\t\tshutdownFunc()\n   277→\t}\n   278→\n   279→\tif Keys.Checkpoints.FileFormat == \"wal\" {\n   280→\t\tfor _, ch := range walShardChs {\n   281→\t\t\tclose(ch)\n   282→\t\t}\n   283→\t}\n   284→\n   285→\tcclog.Infof(\"[METRICSTORE]> Writing to '%s'...\\n\", Keys.Checkpoints.RootDir)\n   286→\tvar files int\n   287→\tvar err error\n   288→\n   289→\tms := GetMemoryStore()\n   290→\n   291→\tlastCheckpointMu.Lock()\n   292→\tfrom := lastCheckpoint\n   293→\tlastCheckpointMu.Unlock()\n   294→\n   295→\tif Keys.Checkpoints.FileFormat == \"wal\" {\n   296→\t\tvar hostDirs []string\n   297→\t\tfiles, hostDirs, err = ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n   298→\t\tif err == nil {\n   299→\t\t\tRotateWALFilesAfterShutdown(hostDirs)\n   300→\t\t}\n   301→\t} else {\n   302→\t\tfiles, err = ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n   303→\t}\n   304→\n   305→\tif err != nil {\n   306→\t\tcclog.Errorf(\"[METRICSTORE]> Writing checkpoint failed: %s\\n\", err.Error())\n   307→\t}\n   308→\tcclog.Infof(\"[METRICSTORE]> Done! (%d files written)\\n\", files)\n   309→}\n   310→\n   311→// Retention starts a background goroutine that periodically frees old metric data.\n   312→//\n   313→// This worker runs at half the retention interval and calls Free() to remove buffers\n   314→// older than the configured retention time. It respects the NodeProvider to preserve\n   315→// data for nodes with active jobs.\n   316→//\n   317→// Parameters:\n   318→//   - wg: WaitGroup to signal completion when context is cancelled\n   319→//   - ctx: Context for cancellation signal\n   320→//\n   321→// The goroutine exits when ctx is cancelled.\n   322→func Retention(wg *sync.WaitGroup, ctx context.Context) {\n   323→\tms := GetMemoryStore()\n   324→\n   325→\twg.Go(func() {\n   326→\t\td, err := time.ParseDuration(Keys.RetentionInMemory)\n   327→\t\tif err != nil {\n   328→\t\t\tcclog.Fatal(err)\n   329→\t\t}\n   330→\t\tif d <= 0 {\n   331→\t\t\treturn\n   332→\t\t}\n   333→\n   334→\t\ttickInterval := d / 2\n   335→\t\tif tickInterval <= 0 {\n   336→\t\t\treturn\n   337→\t\t}\n   338→\t\tticker := time.NewTicker(tickInterval)\n   339→\t\tdefer ticker.Stop()\n   340→\n   341→\t\tfor {\n   342→\t\t\tselect {\n   343→\t\t\tcase <-ctx.Done():\n   344→\t\t\t\treturn\n   345→\t\t\tcase <-ticker.C:\n   346→\t\t\t\tstate.mu.Lock()\n   347→\n   348→\t\t\t\tt := time.Now().Add(-d)\n   349→"}]},"uuid":"b991e6d7-af39-45bc-acc8-efce73ed7cc1","timestamp":"2026-03-18T05:41:47.964Z"},"type":"agent_progress","prompt":"","agentId":"ac3d6ab97cbca2a87"},"toolUseID":"agent_msg_01XtAvaBKcd33EX14W49Jo9S","parentToolUseID":"toolu_01ECFd5J84HUYyMFEYwC2jab","uuid":"bccde0f5-50f1-461b-bafb-cda9283facaf","timestamp":"2026-03-18T05:41:47.964Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"parentUuid":"61666a66-4c75-48bd-ac4a-655b0064be50","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AeXZpdifiTYzSFs92y2h9x","type":"tool_result","content":"+func ReceiveNats(ms *MemoryStore,\n+\tworkers int,\n+\tctx context.Context,\n+) error {\n+\tnc := nats.GetClient()\n+\n+\tif nc == nil {\n+\t\tcclog.Warn(\"NATS client not initialized\")\n+\t\treturn nil\n+\t}\n+\n+\tvar wg sync.WaitGroup\n+\tmsgs := make(chan []byte, workers*2)\n+\n+\tfor _, sc := range *Keys.Subscriptions {\n+\t\tclusterTag := sc.ClusterTag\n+\t\tif workers > 1 {\n+\t\t\twg.Add(workers)\n+\n+\t\t\tfor range workers {\n+\t\t\t\tgo func() {\n+\t\t\t\t\tdefer wg.Done()\n+\t\t\t\t\tfor m := range msgs {\n+\t\t\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(m)\n+\t\t\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n+\t\t\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n+\t\t\t\t\t\t}\n+\t\t\t\t\t}\n+\t\t\t\t}()\n+\t\t\t}\n+\n--\n func ReceiveNats(ms *MemoryStore,\n\ncommit 4c3cd8e66a7b7367afc5bc2ae154af4d0649b35c\nMerge: ca0f9a42 6ecb9349\nAuthor: Jan Eitzinger <jan@moebiusband.org>\nDate:   Fri Feb 27 09:30:32 2026 +0100\n\n    Merge branch 'dev' into optimize-checkpoint-wal\n\ncommit 23ce1722a9fe43612e53331bb855bdaf2de55b31\nMerge: 9c0104a2 6ecb9349\nAuthor: Jan Eitzinger <jan@moebiusband.org>\nDate:   Fri Feb 27 09:31:50 2026 +0100\n\n    Merge branch 'dev' into optimize-checkpoint-loading\n\ncommit a1db8263d72b9727347ea69e0cc832ec67bd1235\nAuthor: Jan Eitzinger <jan@moebiusband.org>\nDate:   Fri Feb 27 12:30:27 2026 +0100\n\n    Document line protocol. Optimize REST writeMetric path\n\ndiff --git a/pkg/metricstore/lineprotocol.go b/pkg/metricstore/lineprotocol.go\nindex f8c83e31..ecae3df1 100644\n--- a/pkg/metricstore/lineprotocol.go\n+++ b/pkg/metricstore/lineprotocol.go\n@@ -3,9 +3,23 @@\n // Use of this source code is governed by a MIT-style","is_error":false}]},"uuid":"374dfce5-7324-4be4-9707-32c8607faf17","timestamp":"2026-03-18T05:41:49.690Z"},"type":"agent_progress","prompt":"","agentId":"ac3d6ab97cbca2a87"},"toolUseID":"agent_msg_01XtAvaBKcd33EX14W49Jo9S","parentToolUseID":"toolu_01ECFd5J84HUYyMFEYwC2jab","uuid":"5990e9fd-fc88-4fa4-a303-106231e19f04","timestamp":"2026-03-18T05:41:49.691Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"parentUuid":"d7fca112-2619-4725-87a0-cd736efe0dea","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GPYEoZ9HJbdTyYrwBZktdN","type":"tool_result","content":"func ReceiveNats(ms *MemoryStore,\n\tworkers int,\n\tctx context.Context,\n) error {\n\tnc := nats.GetClient()\n\n\tif nc == nil {\n\t\tcclog.Warn(\"NATS client not initialized\")\n\t\treturn nil\n\t}\n\n\tvar wg sync.WaitGroup\n\tmsgs := make(chan []byte, workers*2)\n\n\tfor _, sc := range *Keys.Subscriptions {\n\t\tclusterTag := sc.ClusterTag\n\t\tif workers > 1 {\n\t\t\twg.Add(workers)\n\n\t\t\tfor range workers {\n\t\t\t\tgo func() {\n\t\t\t\t\tdefer wg.Done()\n\t\t\t\t\tfor m := range msgs {\n\t\t\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(m)\n\t\t\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}()\n\t\t\t}\n\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tselect {\n\t\t\t\tcase msgs <- data:\n\t\t\t\tcase <-ctx.Done():\n\t\t\t\t}\n\t\t\t})\n\t\t} else {\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(data)\n\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\t\tcclog.Infof(\"NATS subscription to '%s' established\", sc.SubscribeTo)\n\t}\n\n\tgo func() {\n\t\t<-ctx.Done()\n\t\tclose(msgs)","is_error":false}]},"uuid":"9136dd69-2b5c-4d5a-a196-329a6b900a94","timestamp":"2026-03-18T05:41:51.474Z"},"type":"agent_progress","prompt":"","agentId":"ac3d6ab97cbca2a87"},"toolUseID":"agent_msg_01XtAvaBKcd33EX14W49Jo9S","parentToolUseID":"toolu_01ECFd5J84HUYyMFEYwC2jab","uuid":"42ac0ca4-dd3f-44cb-a9fa-0a59eb03d007","timestamp":"2026-03-18T05:41:51.474Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"parentUuid":"baaa4d12-e8a1-4be5-8c3d-71b5ca3e8193","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018h5PdqeA1VCdPicgVsvqD8","type":"tool_result","content":"\tif Keys.Subscriptions != nil {\n\t\terr = ReceiveNats(ms, 1, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t}\n}\n\n// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n//\n// This function must be called before GetMemoryStore() and can only be called once due to\n// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n//\n// Parameters:\n//   - metrics: Map of metric names to their configurations (frequency and aggregation strategy)\n//\n// Panics if any metric has Frequency == 0, which indicates an invalid configuration.\n//\n// After this call, the global msInstance is ready for use via GetMemoryStore().\nfunc InitMetrics(metrics map[string]MetricConfig) {\n\tsingleton.Do(func() {\n\t\toffset := 0\n\t\tfor key, cfg := range metrics {\n\t\t\tif cfg.Frequency == 0 {\n\t\t\t\tpanic(\"[METRICSTORE]> invalid frequency\")\n\t\t\t}\n\n\t\t\tmetrics[key] = MetricConfig{\n\t\t\t\tFrequency:   cfg.Frequency,\n\t\t\t\tAggregation: cfg.Aggregation,\n\t\t\t\toffset:      offset,","is_error":false}]},"uuid":"f1129b42-22fd-49b3-a701-2227348aa720","timestamp":"2026-03-18T05:41:53.969Z"},"type":"agent_progress","prompt":"","agentId":"ac3d6ab97cbca2a87"},"toolUseID":"agent_msg_01XtAvaBKcd33EX14W49Jo9S","parentToolUseID":"toolu_01ECFd5J84HUYyMFEYwC2jab","uuid":"5d9845e6-0304-4330-ae27-5d9b636b1731","timestamp":"2026-03-18T05:41:53.969Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"5d9845e6-0304-4330-ae27-5d9b636b1731","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Agent","command":"entire hooks claude-code post-task"},"parentToolUseID":"toolu_01ECFd5J84HUYyMFEYwC2jab","toolUseID":"toolu_01ECFd5J84HUYyMFEYwC2jab","timestamp":"2026-03-18T05:42:13.732Z","uuid":"34a7bc9c-c96e-4b14-b71a-a0c9e73b569e","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"89bbdb2c-885a-473d-83ae-fa6d621e14c5","isSidechain":false,"promptId":"91ccd3cf-29e3-4c49-926c-ff2fbce3f600","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ECFd5J84HUYyMFEYwC2jab","type":"tool_result","content":[{"type":"text","text":"Perfect! Now I have all the information I need. Let me provide a comprehensive analysis to the user.\n\n## Analysis: `metricstore.Init()` Blocking via `ReceiveNats`\n\n### Summary\n\nI've found a **critical blocking bug** introduced by recent commits. `metricstore.Init()` now blocks indefinitely when NATS subscriptions are configured, preventing the server from fully starting up.\n\n---\n\n## Detailed Findings\n\n### 1. **Startup Flow: How `Init()` is Called**\n\n**Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go`, lines 344-346\n\n```go\nmscfg := ccconf.GetPackageConfig(\"metric-store\")\nif mscfg != nil {\n    metrics := metricstore.BuildMetricList()\n    metricstore.Init(mscfg, metrics, &wg)  // ← Called SYNCHRONOUSLY on main thread\n```\n\nThe caller (`runServer()`) expects `Init()` to return so execution can continue. Instead:\n\n**Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go`, lines 186-191\n\n```go\nif Keys.Subscriptions != nil {\n    err = ReceiveNats(ms, Keys.NumWorkers, ctx)  // ← This BLOCKS!\n    if err != nil {\n        cclog.Fatal(err)\n    }\n}\n```\n\n`ReceiveNats()` is called **synchronously** and blocks `Init()` from returning.\n\n---\n\n### 2. **Why `ReceiveNats` Blocks: `wg.Wait()` at Line 98**\n\n**Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/lineprotocol.go`, lines 45-101\n\n```go\nfunc ReceiveNats(ms *MemoryStore, workers int, ctx context.Context) error {\n    nc := nats.GetClient()\n    if nc == nil {\n        return nil  // Early exit if no NATS client\n    }\n\n    var wg sync.WaitGroup    // ← Local WaitGroup\n    msgs := make(chan []byte, max(workers*256, 8192))\n\n    for _, sc := range *Keys.Subscriptions {\n        clusterTag := sc.ClusterTag\n        if workers > 1 {\n            wg.Add(workers)  // ← Register N worker goroutines\n            for range workers {\n                go func() {\n                    defer wg.Done()\n                    for m := range msgs {      // ← Waits for messages forever\n                        dec := lineprotocol.NewDecoderWithBytes(m)\n                        if err := DecodeLine(dec, ms, clusterTag); err != nil {\n                            cclog.Errorf(\"error: %s\", err.Error())\n                        }\n                    }\n                }()\n            }\n\n            nc.Subscribe(sc.SubscribeTo, ...)\n        } else {\n            // Single worker: decodes inline (no channel)\n            nc.Subscribe(sc.SubscribeTo, ...)\n        }\n        cclog.Infof(\"NATS subscription to '%s' established\", sc.SubscribeTo)\n    }\n\n    go func() {\n        <-ctx.Done()      // ← Waits for context cancellation\n        close(msgs)       // ← Closes channel to unblock workers\n    }()\n\n    wg.Wait()            // ← LINE 98: BLOCKS HERE until all workers finish\n    return nil\n}\n```\n\n**The blocking flow**:\n1. `ReceiveNats()` creates `N` worker goroutines (where N = `Keys.NumWorkers`)\n2. These workers loop on the `msgs` channel, waiting for messages forever\n3. The loop only exits when `msgs` is closed\n4. `msgs` is only closed when `ctx` is cancelled\n5. `ctx` is only cancelled during shutdown\n6. **Result**: `wg.Wait()` blocks forever until shutdown signal\n\n---\n\n### 3. **This Blocking Was Always There: The Bug is Not Recent**\n\nCommit history shows `wg.Wait()` was **part of the original implementation** when `ReceiveNats` was created:\n\n- **Commit `ca0f9a42`** (2026-02-14, \"Introduce metric store binary checkpoints with write ahead log\"): First instance of `ReceiveNats` already has `wg.Wait()` at the end\n- **All subsequent commits** preserve this blocking behavior\n- **Commit `bf1a8a17`** (2026-03-09, \"fix: Shard WAL consumer for higher throughput\"): Still has `wg.Wait()`\n- **Commit `50aed595`** (2026-03-11, \"fix: metricstore NATS contention\"): Current HEAD, still has `wg.Wait()`\n\nThe code comment even documents this blocking behavior (lines 42-44):\n```go\n// The function blocks until ctx is cancelled and all worker goroutines have\n// finished. It returns nil when the NATS client is not configured; callers\n// should treat that as a no-op rather than an error.\n```\n\n---\n\n### 4. **Critical Bug: `ReceiveNats` Should Run in a Goroutine**\n\nThe root cause is clear: **`ReceiveNats()` is designed to block indefinitely** (until context cancellation), but **it's being called synchronously from `Init()`** instead of in a background goroutine.\n\n**Expected behavior**:\n```go\n// In metricstore.go Init(), lines 186-191\nif Keys.Subscriptions != nil {\n    wg.Go(func() {                               // ← Should be in a goroutine!\n        err := ReceiveNats(ms, Keys.NumWorkers, ctx)\n        if err != nil {\n            cclog.Errorf(\"ReceiveNats error: %s\", err.Error())\n        }\n    })\n    // Remove: err = ReceiveNats(...)\n    // Remove: if err != nil { ... }\n}\n```\n\n**Current (buggy) behavior**:\n```go\nif Keys.Subscriptions != nil {\n    err = ReceiveNats(ms, Keys.NumWorkers, ctx)  // ← Blocks Init() here!\n    if err != nil {\n        cclog.Fatal(err)\n    }\n}\n```\n\n---\n\n### 5. **WALStaging Interaction: Not the Root Cause**\n\n**Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go`, lines 147-177\n\nThe `WALStaging()` function correctly handles both cases:\n- **For `\"json\"` format** (line 148-150): Returns immediately without calling `wg.Go()`\n  ```go\n  if Keys.Checkpoints.FileFormat == \"json\" {\n      return  // ← No goroutine added to wg\n  }\n  ```\n\n- **For `\"wal\"` format** (line 167): Calls `wg.Go()` once per shard\n  ```go\n  wg.Go(func() {  // ← Adds N goroutines to caller's wg\n      // WAL staging loop\n  })\n  ```\n\n**This is correct design** — WAL goroutines are properly tracked by the caller's WaitGroup. The issue is not with WALStaging but with ReceiveNats being called synchronously.\n\n---\n\n## Root Cause Summary\n\n| Aspect | Finding |\n|--------|---------|\n| **Where `Init()` is called** | `/cmd/cc-backend/main.go` line 346 — **synchronously** |\n| **What blocks Init** | `ReceiveNats()` at line 187 of `metricstore.go` |\n| **Why ReceiveNats blocks** | Calls `wg.Wait()` (line 98 of `lineprotocol.go`) waiting for worker goroutines |\n| **Why workers never finish** | They loop on `msgs` channel until `ctx.Done()`, which only happens at shutdown |\n| **When this was introduced** | Commit `ca0f9a42` (2026-02-14) — the function design always included blocking |\n| **Is it a WaitGroup interference?** | No — `ReceiveNats` uses its own local `wg`, not the caller's. The caller's `wg` is never incremented for NATS workers |\n| **Is WALStaging involved?** | No — WALStaging correctly returns early for JSON format; for WAL format it properly calls `wg.Go()` |\n\n---\n\n## Fix Required\n\nChange line 186-191 in `/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go`:\n\n```go\n// BEFORE (buggy):\nif Keys.Subscriptions != nil {\n    err = ReceiveNats(ms, Keys.NumWorkers, ctx)  // ← Blocks!\n    if err != nil {\n        cclog.Fatal(err)\n    }\n}\n\n// AFTER (fixed):\nif Keys.Subscriptions != nil {\n    wg.Go(func() {\n        err := ReceiveNats(ms, Keys.NumWorkers, ctx)\n        if err != nil {\n            cclog.Fatalf(\"ReceiveNats error: %s\", err.Error())\n        }\n    })\n}\n```\n\nThis way, `ReceiveNats` runs as a background goroutine and doesn't block server startup."},{"type":"text","text":"agentId: ac3d6ab97cbca2a87 (use SendMessage with to: 'ac3d6ab97cbca2a87' to continue this agent)\n<usage>total_tokens: 55309\ntool_uses: 18\nduration_ms: 38966</usage>"}]}]},"uuid":"12c19cd0-ec52-4b89-ad52-de5ad36d2c84","timestamp":"2026-03-18T05:42:13.731Z","toolUseResult":{"status":"completed","prompt":"I need to understand how `metricstore.Init()` is called and whether `ReceiveNats` blocking is expected behavior or a new bug.\n\n1. Find where `metricstore.Init()` is called (likely in `cmd/cc-backend/` or similar). Read that code to understand the startup flow — does the caller expect Init to return, or is it run in a goroutine?\n\n2. Look at the git history for `ReceiveNats` — specifically check if it was recently changed to block (with `wg.Wait()`), or if it always blocked. Run `git log --oneline -20 pkg/metricstore/lineprotocol.go` and `git log --oneline -20 pkg/metricstore/metricstore.go` and read recent diffs.\n\n3. Check the current WALStaging implementation in walCheckpoint.go — the function now returns early for \"json\" format without adding anything to wg, and for \"wal\" format it calls wg.Go() N times. Verify whether the WaitGroup used by Init's caller could be affected by these extra goroutines.\n\n4. Specifically look at whether `ReceiveNats`'s local `wg.Wait()` on line 98 was always there or was recently added, and whether it could interact with the Init's WaitGroup parameter somehow.","agentId":"ac3d6ab97cbca2a87","content":[{"type":"text","text":"Perfect! Now I have all the information I need. Let me provide a comprehensive analysis to the user.\n\n## Analysis: `metricstore.Init()` Blocking via `ReceiveNats`\n\n### Summary\n\nI've found a **critical blocking bug** introduced by recent commits. `metricstore.Init()` now blocks indefinitely when NATS subscriptions are configured, preventing the server from fully starting up.\n\n---\n\n## Detailed Findings\n\n### 1. **Startup Flow: How `Init()` is Called**\n\n**Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go`, lines 344-346\n\n```go\nmscfg := ccconf.GetPackageConfig(\"metric-store\")\nif mscfg != nil {\n    metrics := metricstore.BuildMetricList()\n    metricstore.Init(mscfg, metrics, &wg)  // ← Called SYNCHRONOUSLY on main thread\n```\n\nThe caller (`runServer()`) expects `Init()` to return so execution can continue. Instead:\n\n**Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go`, lines 186-191\n\n```go\nif Keys.Subscriptions != nil {\n    err = ReceiveNats(ms, Keys.NumWorkers, ctx)  // ← This BLOCKS!\n    if err != nil {\n        cclog.Fatal(err)\n    }\n}\n```\n\n`ReceiveNats()` is called **synchronously** and blocks `Init()` from returning.\n\n---\n\n### 2. **Why `ReceiveNats` Blocks: `wg.Wait()` at Line 98**\n\n**Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/lineprotocol.go`, lines 45-101\n\n```go\nfunc ReceiveNats(ms *MemoryStore, workers int, ctx context.Context) error {\n    nc := nats.GetClient()\n    if nc == nil {\n        return nil  // Early exit if no NATS client\n    }\n\n    var wg sync.WaitGroup    // ← Local WaitGroup\n    msgs := make(chan []byte, max(workers*256, 8192))\n\n    for _, sc := range *Keys.Subscriptions {\n        clusterTag := sc.ClusterTag\n        if workers > 1 {\n            wg.Add(workers)  // ← Register N worker goroutines\n            for range workers {\n                go func() {\n                    defer wg.Done()\n                    for m := range msgs {      // ← Waits for messages forever\n                        dec := lineprotocol.NewDecoderWithBytes(m)\n                        if err := DecodeLine(dec, ms, clusterTag); err != nil {\n                            cclog.Errorf(\"error: %s\", err.Error())\n                        }\n                    }\n                }()\n            }\n\n            nc.Subscribe(sc.SubscribeTo, ...)\n        } else {\n            // Single worker: decodes inline (no channel)\n            nc.Subscribe(sc.SubscribeTo, ...)\n        }\n        cclog.Infof(\"NATS subscription to '%s' established\", sc.SubscribeTo)\n    }\n\n    go func() {\n        <-ctx.Done()      // ← Waits for context cancellation\n        close(msgs)       // ← Closes channel to unblock workers\n    }()\n\n    wg.Wait()            // ← LINE 98: BLOCKS HERE until all workers finish\n    return nil\n}\n```\n\n**The blocking flow**:\n1. `ReceiveNats()` creates `N` worker goroutines (where N = `Keys.NumWorkers`)\n2. These workers loop on the `msgs` channel, waiting for messages forever\n3. The loop only exits when `msgs` is closed\n4. `msgs` is only closed when `ctx` is cancelled\n5. `ctx` is only cancelled during shutdown\n6. **Result**: `wg.Wait()` blocks forever until shutdown signal\n\n---\n\n### 3. **This Blocking Was Always There: The Bug is Not Recent**\n\nCommit history shows `wg.Wait()` was **part of the original implementation** when `ReceiveNats` was created:\n\n- **Commit `ca0f9a42`** (2026-02-14, \"Introduce metric store binary checkpoints with write ahead log\"): First instance of `ReceiveNats` already has `wg.Wait()` at the end\n- **All subsequent commits** preserve this blocking behavior\n- **Commit `bf1a8a17`** (2026-03-09, \"fix: Shard WAL consumer for higher throughput\"): Still has `wg.Wait()`\n- **Commit `50aed595`** (2026-03-11, \"fix: metricstore NATS contention\"): Current HEAD, still has `wg.Wait()`\n\nThe code comment even documents this blocking behavior (lines 42-44):\n```go\n// The function blocks until ctx is cancelled and all worker goroutines have\n// finished. It returns nil when the NATS client is not configured; callers\n// should treat that as a no-op rather than an error.\n```\n\n---\n\n### 4. **Critical Bug: `ReceiveNats` Should Run in a Goroutine**\n\nThe root cause is clear: **`ReceiveNats()` is designed to block indefinitely** (until context cancellation), but **it's being called synchronously from `Init()`** instead of in a background goroutine.\n\n**Expected behavior**:\n```go\n// In metricstore.go Init(), lines 186-191\nif Keys.Subscriptions != nil {\n    wg.Go(func() {                               // ← Should be in a goroutine!\n        err := ReceiveNats(ms, Keys.NumWorkers, ctx)\n        if err != nil {\n            cclog.Errorf(\"ReceiveNats error: %s\", err.Error())\n        }\n    })\n    // Remove: err = ReceiveNats(...)\n    // Remove: if err != nil { ... }\n}\n```\n\n**Current (buggy) behavior**:\n```go\nif Keys.Subscriptions != nil {\n    err = ReceiveNats(ms, Keys.NumWorkers, ctx)  // ← Blocks Init() here!\n    if err != nil {\n        cclog.Fatal(err)\n    }\n}\n```\n\n---\n\n### 5. **WALStaging Interaction: Not the Root Cause**\n\n**Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go`, lines 147-177\n\nThe `WALStaging()` function correctly handles both cases:\n- **For `\"json\"` format** (line 148-150): Returns immediately without calling `wg.Go()`\n  ```go\n  if Keys.Checkpoints.FileFormat == \"json\" {\n      return  // ← No goroutine added to wg\n  }\n  ```\n\n- **For `\"wal\"` format** (line 167): Calls `wg.Go()` once per shard\n  ```go\n  wg.Go(func() {  // ← Adds N goroutines to caller's wg\n      // WAL staging loop\n  })\n  ```\n\n**This is correct design** — WAL goroutines are properly tracked by the caller's WaitGroup. The issue is not with WALStaging but with ReceiveNats being called synchronously.\n\n---\n\n## Root Cause Summary\n\n| Aspect | Finding |\n|--------|---------|\n| **Where `Init()` is called** | `/cmd/cc-backend/main.go` line 346 — **synchronously** |\n| **What blocks Init** | `ReceiveNats()` at line 187 of `metricstore.go` |\n| **Why ReceiveNats blocks** | Calls `wg.Wait()` (line 98 of `lineprotocol.go`) waiting for worker goroutines |\n| **Why workers never finish** | They loop on `msgs` channel until `ctx.Done()`, which only happens at shutdown |\n| **When this was introduced** | Commit `ca0f9a42` (2026-02-14) — the function design always included blocking |\n| **Is it a WaitGroup interference?** | No — `ReceiveNats` uses its own local `wg`, not the caller's. The caller's `wg` is never incremented for NATS workers |\n| **Is WALStaging involved?** | No — WALStaging correctly returns early for JSON format; for WAL format it properly calls `wg.Go()` |\n\n---\n\n## Fix Required\n\nChange line 186-191 in `/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go`:\n\n```go\n// BEFORE (buggy):\nif Keys.Subscriptions != nil {\n    err = ReceiveNats(ms, Keys.NumWorkers, ctx)  // ← Blocks!\n    if err != nil {\n        cclog.Fatal(err)\n    }\n}\n\n// AFTER (fixed):\nif Keys.Subscriptions != nil {\n    wg.Go(func() {\n        err := ReceiveNats(ms, Keys.NumWorkers, ctx)\n        if err != nil {\n            cclog.Fatalf(\"ReceiveNats error: %s\", err.Error())\n        }\n    })\n}\n```\n\nThis way, `ReceiveNats` runs as a background goroutine and doesn't block server startup."}],"totalDurationMs":38966,"totalTokens":55309,"totalToolUseCount":18,"usage":{"input_tokens":2,"cache_creation_input_tokens":926,"cache_read_input_tokens":52044,"output_tokens":2337,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":926},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"89bbdb2c-885a-473d-83ae-fa6d621e14c5","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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Map lookup in `hostFiles`\n3. `buildWALPayload()` — **allocates a new `[]byte`** per message\n4. `writeWALRecord()` — **allocates another `[]byte`** (record = magic+len+payload+crc)\n5. `bufio.Write()` — copies into buffer, occasionally flushes to disk\n\nWith `NumWorkers` producers (e.g., 5-10 goroutines) each decoding batches of metrics, the single consumer cannot match. The 65K channel buffer fills in seconds, then every message is dropped.\n\n## Plan: Sharded WAL Writers\n\nReplace the single `WALStaging` goroutine with **N sharded writer goroutines**, each owning a subset of hosts. Messages are routed to shards by hashing `cluster+node`. This:\n- Parallelizes serialization and I/O across goroutines\n- Keeps per-host writes serial (required for correct WAL files)\n- Eliminates the single-goroutine bottleneck entirely\n\nAdditionally, eliminate per-message heap allocations in `buildWALPayload`/`writeWALRecord` by encoding directly into the `bufio.Writer`.\n\n### Change 1: Sharded WAL writer goroutines\n**File:** `pkg/metricstore/walCheckpoint.go`\n\nReplace the single `WALMessages` channel + `WALStaging()` goroutine with:\n\n```go\nconst walShards = 16  // or NumWorkers\n\n// Per-shard channel + goroutine\nvar walShardChs []chan *WALMessage\n\nfunc walShard(msg *WALMessage) int {\n    // FNV-1a hash of cluster+node, mod shard count\n    h := fnv.New32a()\n    h.Write([]byte(msg.Cluster))\n    h.Write([]byte{0})\n    h.Write([]byte(msg.Node))\n    return int(h.Sum32()) % len(walShardChs)\n}\n```\n\nEach shard goroutine:\n- Owns its own `hostFiles` map (no contention)\n- Drains its channel with the existing batch-drain pattern\n- Handles rotate requests for its hosts\n\n**Shard count:** Use `NumWorkers` (already configured, sensible default).\n\n**Channel buffer per shard:** `65536 / numShards` — same total memory, but each shard only buffers its hosts.\n\n### Change 2: Eliminate per-message allocations\n**File:** `pkg/metricstore/walCheckpoint.go`\n\nReplace `buildWALPayload()` → `writeWALRecord()` (2 allocations per message) with `writeWALRecordDirect(w *bufio.Writer, msg *WALMessage)` that encodes directly into the `bufio.Writer` using a small stack-allocated scratch buffer:\n\n```go\nfunc writeWALRecordDirect(w *bufio.Writer, msg *WALMessage) error {\n    // Build payload into a pooled or stack buffer, compute CRC inline,\n    // write magic+len, then payload, then CRC — all directly to w.\n    // Zero heap allocations in the hot path.\n    var scratch [128]byte  // stack-allocated, covers most records\n    // ... encode payload into scratch or a pooled []byte if >128 ...\n}\n```\n\nKeep the old `writeWALRecord`/`buildWALPayload` for use in tests or non-hot paths, but the shard goroutines use the direct version.\n\n### Change 3: Route WAL sends to shards from DecodeLine\n**File:** `pkg/metricstore/lineprotocol.go:355-372`\n\nReplace:\n```go\nselect {\ncase WALMessages <- msg:\ndefault:\n    // dropped\n}\n```\nWith:\n```go\nshard := walShard(msg)\nselect {\ncase walShardChs[shard] <- msg:\ndefault:\n    // dropped\n}\n```\n\n### Change 4: Shard-aware rotation\n**File:** `pkg/metricstore/walCheckpoint.go`\n\n`RotateWALFiles` must send rotate requests to the correct shard. Each shard has its own `walRotateCh`. The checkpoint goroutine hashes the hostDir to find the right shard and sends the rotate request there.\n\n### Change 5: Shutdown\n**File:** `pkg/metricstore/metricstore.go` (Shutdown function)\n\nClose all shard channels instead of the single `WALMessages` channel. Each shard goroutine drains and flushes on close.\n\n## Files to Modify\n\n- `pkg/metricstore/walCheckpoint.go` — sharded goroutines, direct record writing, shard-aware rotation\n- `pkg/metricstore/lineprotocol.go` — route WAL sends to shard channels\n- `pkg/metricstore/metricstore.go` — `WALStaging()` call updated, `Shutdown()` closes shard channels\n\n## Verification\n\n1. `go build ./...`\n2. `go test ./pkg/metricstore/...`\n3. Deploy and verify:\n   - WAL drop count stays at 0 (or near-zero during extreme bursts)\n   - WAL files are correct (load a checkpoint, verify data)\n   - No \"WAL channel full\" log messages\n   - Memory usage roughly same (total channel buffer size unchanged)","new_string":"# Fix: ReceiveNats blocks Init() during startup\n\n## Context\n\nAfter the sharded WAL changes, the application blocks during startup in `ReceiveNats`. `ReceiveNats` is designed to block until context cancellation (its `wg.Wait()` on line 98 waits for worker goroutines that only exit when `ctx` is cancelled at shutdown). However, it is called **synchronously** from `Init()` at line 187 of `metricstore.go`, which prevents `Init()` from returning and the server from finishing startup.\n\n## Root Cause\n\n**File:** `pkg/metricstore/metricstore.go:186-191`\n\n```go\nif Keys.Subscriptions != nil {\n    err = ReceiveNats(ms, Keys.NumWorkers, ctx)  // ← blocks forever\n    if err != nil {\n        cclog.Fatal(err)\n    }\n}\n```\n\n`ReceiveNats` (in `lineprotocol.go`) spawns `NumWorkers` goroutines that loop on a `msgs` channel. The channel is only closed when `ctx` is cancelled (at shutdown). So `wg.Wait()` at line 98 blocks until shutdown, and `Init()` never returns.\n\nThe caller (`cmd/cc-backend/main.go:346`) calls `Init()` synchronously and expects it to return so the HTTP server can start.\n\n## Fix\n\n**File:** `pkg/metricstore/metricstore.go` — wrap `ReceiveNats` call in `wg.Go()`:\n\n```go\nif Keys.Subscriptions != nil {\n    wg.Go(func() {\n        if err := ReceiveNats(ms, Keys.NumWorkers, ctx); err != nil {\n            cclog.Fatal(err)\n        }\n    })\n}\n```\n\nThis runs `ReceiveNats` as a background goroutine tracked by the caller's WaitGroup, allowing `Init()` to return immediately.\n\n## Verification\n\n1. `go build ./...`\n2. `go test ./pkg/metricstore/...`\n3. Verify the app starts up and serves HTTP requests when NATS subscriptions are configured"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":7776,"cache_read_input_tokens":66942,"output_tokens":2783,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":7776,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZA1dQRFA3vWibXg9gqeA","type":"assistant","uuid":"a083b86e-cb71-45b3-92b1-6d477c38728b","timestamp":"2026-03-18T05:43:10.989Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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For every message it must:\n1. `path.Join()` to build hostDir string — **allocates**\n2. Map lookup in `hostFiles`\n3. `buildWALPayload()` — **allocates a new `[]byte`** per message\n4. `writeWALRecord()` — **allocates another `[]byte`** (record = magic+len+payload+crc)\n5. `bufio.Write()` — copies into buffer, occasionally flushes to disk\n\nWith `NumWorkers` producers (e.g., 5-10 goroutines) each decoding batches of metrics, the single consumer cannot match. The 65K channel buffer fills in seconds, then every message is dropped.\n\n## Plan: Sharded WAL Writers\n\nReplace the single `WALStaging` goroutine with **N sharded writer goroutines**, each owning a subset of hosts. Messages are routed to shards by hashing `cluster+node`. This:\n- Parallelizes serialization and I/O across goroutines\n- Keeps per-host writes serial (required for correct WAL files)\n- Eliminates the single-goroutine bottleneck entirely\n\nAdditionally, eliminate per-message heap allocations in `buildWALPayload`/`writeWALRecord` by encoding directly into the `bufio.Writer`.\n\n### Change 1: Sharded WAL writer goroutines\n**File:** `pkg/metricstore/walCheckpoint.go`\n\nReplace the single `WALMessages` channel + `WALStaging()` goroutine with:\n\n```go\nconst walShards = 16  // or NumWorkers\n\n// Per-shard channel + goroutine\nvar walShardChs []chan *WALMessage\n\nfunc walShard(msg *WALMessage) int {\n    // FNV-1a hash of cluster+node, mod shard count\n    h := fnv.New32a()\n    h.Write([]byte(msg.Cluster))\n    h.Write([]byte{0})\n    h.Write([]byte(msg.Node))\n    return int(h.Sum32()) % len(walShardChs)\n}\n```\n\nEach shard goroutine:\n- Owns its own `hostFiles` map (no contention)\n- Drains its channel with the existing batch-drain pattern\n- Handles rotate requests for its hosts\n\n**Shard count:** Use `NumWorkers` (already configured, sensible default).\n\n**Channel buffer per shard:** `65536 / numShards` — same total memory, but each shard only buffers its hosts.\n\n### Change 2: Eliminate per-message allocations\n**File:** `pkg/metricstore/walCheckpoint.go`\n\nReplace `buildWALPayload()` → `writeWALRecord()` (2 allocations per message) with `writeWALRecordDirect(w *bufio.Writer, msg *WALMessage)` that encodes directly into the `bufio.Writer` using a small stack-allocated scratch buffer:\n\n```go\nfunc writeWALRecordDirect(w *bufio.Writer, msg *WALMessage) error {\n    // Build payload into a pooled or stack buffer, compute CRC inline,\n    // write magic+len, then payload, then CRC — all directly to w.\n    // Zero heap allocations in the hot path.\n    var scratch [128]byte  // stack-allocated, covers most records\n    // ... encode payload into scratch or a pooled []byte if >128 ...\n}\n```\n\nKeep the old `writeWALRecord`/`buildWALPayload` for use in tests or non-hot paths, but the shard goroutines use the direct version.\n\n### Change 3: Route WAL sends to shards from DecodeLine\n**File:** `pkg/metricstore/lineprotocol.go:355-372`\n\nReplace:\n```go\nselect {\ncase WALMessages <- msg:\ndefault:\n    // dropped\n}\n```\nWith:\n```go\nshard := walShard(msg)\nselect {\ncase walShardChs[shard] <- msg:\ndefault:\n    // dropped\n}\n```\n\n### Change 4: Shard-aware rotation\n**File:** `pkg/metricstore/walCheckpoint.go`\n\n`RotateWALFiles` must send rotate requests to the correct shard. Each shard has its own `walRotateCh`. The checkpoint goroutine hashes the hostDir to find the right shard and sends the rotate request there.\n\n### Change 5: Shutdown\n**File:** `pkg/metricstore/metricstore.go` (Shutdown function)\n\nClose all shard channels instead of the single `WALMessages` channel. Each shard goroutine drains and flushes on close.\n\n## Files to Modify\n\n- `pkg/metricstore/walCheckpoint.go` — sharded goroutines, direct record writing, shard-aware rotation\n- `pkg/metricstore/lineprotocol.go` — route WAL sends to shard channels\n- `pkg/metricstore/metricstore.go` — `WALStaging()` call updated, `Shutdown()` closes shard channels\n\n## Verification\n\n1. `go build ./...`\n2. `go test ./pkg/metricstore/...`\n3. Deploy and verify:\n   - WAL drop count stays at 0 (or near-zero during extreme bursts)\n   - WAL files are correct (load a checkpoint, verify data)\n   - No \"WAL channel full\" log messages\n   - Memory usage roughly same (total channel buffer size unchanged)","newString":"# Fix: ReceiveNats blocks Init() during startup\n\n## Context\n\nAfter the sharded WAL changes, the application blocks during startup in `ReceiveNats`. `ReceiveNats` is designed to block until context cancellation (its `wg.Wait()` on line 98 waits for worker goroutines that only exit when `ctx` is cancelled at shutdown). However, it is called **synchronously** from `Init()` at line 187 of `metricstore.go`, which prevents `Init()` from returning and the server from finishing startup.\n\n## Root Cause\n\n**File:** `pkg/metricstore/metricstore.go:186-191`\n\n```go\nif Keys.Subscriptions != nil {\n    err = ReceiveNats(ms, Keys.NumWorkers, ctx)  // ← blocks forever\n    if err != nil {\n        cclog.Fatal(err)\n    }\n}\n```\n\n`ReceiveNats` (in `lineprotocol.go`) spawns `NumWorkers` goroutines that loop on a `msgs` channel. The channel is only closed when `ctx` is cancelled (at shutdown). So `wg.Wait()` at line 98 blocks until shutdown, and `Init()` never returns.\n\nThe caller (`cmd/cc-backend/main.go:346`) calls `Init()` synchronously and expects it to return so the HTTP server can start.\n\n## Fix\n\n**File:** `pkg/metricstore/metricstore.go` — wrap `ReceiveNats` call in `wg.Go()`:\n\n```go\nif Keys.Subscriptions != nil {\n    wg.Go(func() {\n        if err := ReceiveNats(ms, Keys.NumWorkers, ctx); err != nil {\n            cclog.Fatal(err)\n        }\n    })\n}\n```\n\nThis runs `ReceiveNats` as a background goroutine tracked by the caller's WaitGroup, allowing `Init()` to return immediately.\n\n## Verification\n\n1. `go build ./...`\n2. `go test ./pkg/metricstore/...`\n3. Verify the app starts up and serves HTTP requests when NATS subscriptions are configured","originalFile":"# Fix WAL Channel Saturation (3M+ messages dropped)\n\n## Context\n\nAfter the initial slow-consumer fixes (multi-worker decode, non-blocking WAL send, 65K channel buffer, 256-batch drain), the WAL channel is still permanently full. 3M+ messages are being dropped — the single `WALStaging` goroutine fundamentally cannot keep up with `NumWorkers` concurrent decode goroutines producing WAL messages.\n\n## Root Cause\n\nThe single `WALStaging` goroutine is the bottleneck. For every message it must:\n1. `path.Join()` to build hostDir string — **allocates**\n2. Map lookup in `hostFiles`\n3. `buildWALPayload()` — **allocates a new `[]byte`** per message\n4. `writeWALRecord()` — **allocates another `[]byte`** (record = magic+len+payload+crc)\n5. `bufio.Write()` — copies into buffer, occasionally flushes to disk\n\nWith `NumWorkers` producers (e.g., 5-10 goroutines) each decoding batches of metrics, the single consumer cannot match. The 65K channel buffer fills in seconds, then every message is dropped.\n\n## Plan: Sharded WAL Writers\n\nReplace the single `WALStaging` goroutine with **N sharded writer goroutines**, each owning a subset of hosts. Messages are routed to shards by hashing `cluster+node`. This:\n- Parallelizes serialization and I/O across goroutines\n- Keeps per-host writes serial (required for correct WAL files)\n- Eliminates the single-goroutine bottleneck entirely\n\nAdditionally, eliminate per-message heap allocations in `buildWALPayload`/`writeWALRecord` by encoding directly into the `bufio.Writer`.\n\n### Change 1: Sharded WAL writer goroutines\n**File:** `pkg/metricstore/walCheckpoint.go`\n\nReplace the single `WALMessages` channel + `WALStaging()` goroutine with:\n\n```go\nconst walShards = 16  // or NumWorkers\n\n// Per-shard channel + goroutine\nvar walShardChs []chan *WALMessage\n\nfunc walShard(msg *WALMessage) int {\n    // FNV-1a hash of cluster+node, mod shard count\n    h := fnv.New32a()\n    h.Write([]byte(msg.Cluster))\n    h.Write([]byte{0})\n    h.Write([]byte(msg.Node))\n    return int(h.Sum32()) % len(walShardChs)\n}\n```\n\nEach shard goroutine:\n- Owns its own `hostFiles` map (no contention)\n- Drains its channel with the existing batch-drain pattern\n- Handles rotate requests for its hosts\n\n**Shard count:** Use `NumWorkers` (already configured, sensible default).\n\n**Channel buffer per shard:** `65536 / numShards` — same total memory, but each shard only buffers its hosts.\n\n### Change 2: Eliminate per-message allocations\n**File:** `pkg/metricstore/walCheckpoint.go`\n\nReplace `buildWALPayload()` → `writeWALRecord()` (2 allocations per message) with `writeWALRecordDirect(w *bufio.Writer, msg *WALMessage)` that encodes directly into the `bufio.Writer` using a small stack-allocated scratch buffer:\n\n```go\nfunc writeWALRecordDirect(w *bufio.Writer, msg *WALMessage) error {\n    // Build payload into a pooled or stack buffer, compute CRC inline,\n    // write magic+len, then payload, then CRC — all directly to w.\n    // Zero heap allocations in the hot path.\n    var scratch [128]byte  // stack-allocated, covers most records\n    // ... encode payload into scratch or a pooled []byte if >128 ...\n}\n```\n\nKeep the old `writeWALRecord`/`buildWALPayload` for use in tests or non-hot paths, but the shard goroutines use the direct version.\n\n### Change 3: Route WAL sends to shards from DecodeLine\n**File:** `pkg/metricstore/lineprotocol.go:355-372`\n\nReplace:\n```go\nselect {\ncase WALMessages <- msg:\ndefault:\n    // dropped\n}\n```\nWith:\n```go\nshard := walShard(msg)\nselect {\ncase walShardChs[shard] <- msg:\ndefault:\n    // dropped\n}\n```\n\n### Change 4: Shard-aware rotation\n**File:** `pkg/metricstore/walCheckpoint.go`\n\n`RotateWALFiles` must send rotate requests to the correct shard. Each shard has its own `walRotateCh`. The checkpoint goroutine hashes the hostDir to find the right shard and sends the rotate request there.\n\n### Change 5: Shutdown\n**File:** `pkg/metricstore/metricstore.go` (Shutdown function)\n\nClose all shard channels instead of the single `WALMessages` channel. Each shard goroutine drains and flushes on close.\n\n## Files to Modify\n\n- `pkg/metricstore/walCheckpoint.go` — sharded goroutines, direct record writing, shard-aware rotation\n- `pkg/metricstore/lineprotocol.go` — route WAL sends to shard channels\n- `pkg/metricstore/metricstore.go` — `WALStaging()` call updated, `Shutdown()` closes shard channels\n\n## Verification\n\n1. `go build ./...`\n2. `go test ./pkg/metricstore/...`\n3. Deploy and verify:\n   - WAL drop count stays at 0 (or near-zero during extreme bursts)\n   - WAL files are correct (load a checkpoint, verify data)\n   - No \"WAL channel full\" log messages\n   - Memory usage roughly same (total channel buffer size unchanged)\n","structuredPatch":[{"oldStart":1,"oldLines":119,"newStart":1,"newLines":44,"lines":["-# Fix WAL Channel Saturation (3M+ messages dropped)","+# Fix: ReceiveNats blocks Init() during startup"," "," ## Context"," ","-After the initial slow-consumer fixes (multi-worker decode, non-blocking WAL send, 65K channel buffer, 256-batch drain), the WAL channel is still permanently full. 3M+ messages are being dropped — the single `WALStaging` goroutine fundamentally cannot keep up with `NumWorkers` concurrent decode goroutines producing WAL messages.","+After the sharded WAL changes, the application blocks during startup in `ReceiveNats`. `ReceiveNats` is designed to block until context cancellation (its `wg.Wait()` on line 98 waits for worker goroutines that only exit when `ctx` is cancelled at shutdown). However, it is called **synchronously** from `Init()` at line 187 of `metricstore.go`, which prevents `Init()` from returning and the server from finishing startup."," "," ## Root Cause"," ","-The single `WALStaging` goroutine is the bottleneck. For every message it must:","-1. `path.Join()` to build hostDir string — **allocates**","-2. Map lookup in `hostFiles`","-3. `buildWALPayload()` — **allocates a new `[]byte`** per message","-4. `writeWALRecord()` — **allocates another `[]byte`** (record = magic+len+payload+crc)","-5. `bufio.Write()` — copies into buffer, occasionally flushes to disk","+**File:** `pkg/metricstore/metricstore.go:186-191`"," ","-With `NumWorkers` producers (e.g., 5-10 goroutines) each decoding batches of metrics, the single consumer cannot match. The 65K channel buffer fills in seconds, then every message is dropped.","-","-## Plan: Sharded WAL Writers","-","-Replace the single `WALStaging` goroutine with **N sharded writer goroutines**, each owning a subset of hosts. Messages are routed to shards by hashing `cluster+node`. This:","-- Parallelizes serialization and I/O across goroutines","-- Keeps per-host writes serial (required for correct WAL files)","-- Eliminates the single-goroutine bottleneck entirely","-","-Additionally, eliminate per-message heap allocations in `buildWALPayload`/`writeWALRecord` by encoding directly into the `bufio.Writer`.","-","-### Change 1: Sharded WAL writer goroutines","-**File:** `pkg/metricstore/walCheckpoint.go`","-","-Replace the single `WALMessages` channel + `WALStaging()` goroutine with:","-"," ```go","-const walShards = 16  // or NumWorkers","-","-// Per-shard channel + goroutine","-var walShardChs []chan *WALMessage","-","-func walShard(msg *WALMessage) int {","-    // FNV-1a hash of cluster+node, mod shard count","-    h := fnv.New32a()","-    h.Write([]byte(msg.Cluster))","-    h.Write([]byte{0})","-    h.Write([]byte(msg.Node))","-    return int(h.Sum32()) % len(walShardChs)","+if Keys.Subscriptions != nil {","+    err = ReceiveNats(ms, Keys.NumWorkers, ctx)  // ← blocks forever","+    if err != nil {","+        cclog.Fatal(err)","+    }"," }"," ```"," ","-Each shard goroutine:","-- Owns its own `hostFiles` map (no contention)","-- Drains its channel with the existing batch-drain pattern","-- Handles rotate requests for its hosts","+`ReceiveNats` (in `lineprotocol.go`) spawns `NumWorkers` goroutines that loop on a `msgs` channel. The channel is only closed when `ctx` is cancelled (at shutdown). So `wg.Wait()` at line 98 blocks until shutdown, and `Init()` never returns."," ","-**Shard count:** Use `NumWorkers` (already configured, sensible default).","+The caller (`cmd/cc-backend/main.go:346`) calls `Init()` synchronously and expects it to return so the HTTP server can start."," ","-**Channel buffer per shard:** `65536 / numShards` — same total memory, but each shard only buffers its hosts.","+## Fix"," ","-### Change 2: Eliminate per-message allocations","-**File:** `pkg/metricstore/walCheckpoint.go`","+**File:** `pkg/metricstore/metricstore.go` — wrap `ReceiveNats` call in `wg.Go()`:"," ","-Replace `buildWALPayload()` → `writeWALRecord()` (2 allocations per message) with `writeWALRecordDirect(w *bufio.Writer, msg *WALMessage)` that encodes directly into the `bufio.Writer` using a small stack-allocated scratch buffer:","-"," ```go","-func writeWALRecordDirect(w *bufio.Writer, msg *WALMessage) error {","-    // Build payload into a pooled or stack buffer, compute CRC inline,","-    // write magic+len, then payload, then CRC — all directly to w.","-    // Zero heap allocations in the hot path.","-    var scratch [128]byte  // stack-allocated, covers most records","-    // ... encode payload into scratch or a pooled []byte if >128 ...","+if Keys.Subscriptions != nil {","+    wg.Go(func() {","+        if err := ReceiveNats(ms, Keys.NumWorkers, ctx); err != nil {","+            cclog.Fatal(err)","+        }","+    })"," }"," ```"," ","-Keep the old `writeWALRecord`/`buildWALPayload` for use in tests or non-hot paths, but the shard goroutines use the direct version.","+This runs `ReceiveNats` as a background goroutine tracked by the caller's WaitGroup, allowing `Init()` to return immediately."," ","-### Change 3: Route WAL sends to shards from DecodeLine","-**File:** `pkg/metricstore/lineprotocol.go:355-372`","-","-Replace:","-```go","-select {","-case WALMessages <- msg:","-default:","-    // dropped","-}","-```","-With:","-```go","-shard := walShard(msg)","-select {","-case walShardChs[shard] <- msg:","-default:","-    // dropped","-}","-```","-","-### Change 4: Shard-aware rotation","-**File:** `pkg/metricstore/walCheckpoint.go`","-","-`RotateWALFiles` must send rotate requests to the correct shard. Each shard has its own `walRotateCh`. The checkpoint goroutine hashes the hostDir to find the right shard and sends the rotate request there.","-","-### Change 5: Shutdown","-**File:** `pkg/metricstore/metricstore.go` (Shutdown function)","-","-Close all shard channels instead of the single `WALMessages` channel. Each shard goroutine drains and flushes on close.","-","-## Files to Modify","-","-- `pkg/metricstore/walCheckpoint.go` — sharded goroutines, direct record writing, shard-aware rotation","-- `pkg/metricstore/lineprotocol.go` — route WAL sends to shard channels","-- `pkg/metricstore/metricstore.go` — `WALStaging()` call updated, `Shutdown()` closes shard channels","-"," ## Verification"," "," 1. `go build ./...`"," 2. `go test ./pkg/metricstore/...`","-3. Deploy and verify:","-   - WAL drop count stays at 0 (or near-zero during extreme bursts)","-   - WAL files are correct (load a checkpoint, verify data)","-   - No \"WAL channel full\" log messages","-   - Memory usage roughly same (total channel buffer size unchanged)","+3. Verify the app starts up and serves HTTP requests when NATS subscriptions are configured"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"a083b86e-cb71-45b3-92b1-6d477c38728b","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"parentUuid":"e527be91-685d-4f07-b1bb-1a7078966f5a","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01Aidmwdx2jiQqxWhfFUf6s5","toolUseID":"toolu_01Aidmwdx2jiQqxWhfFUf6s5","timestamp":"2026-03-18T05:44:45.001Z","uuid":"26bed542-f41e-4de3-b271-0bbcb9a4ce3c","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"e527be91-685d-4f07-b1bb-1a7078966f5a","isSidechain":false,"promptId":"91ccd3cf-29e3-4c49-926c-ff2fbce3f600","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Aidmwdx2jiQqxWhfFUf6s5","type":"tool_result","content":"pkg/metricstore/metricstore.go:136:\t// Set NumWorkers from config or use default\npkg/metricstore/metricstore.go:137:\tif Keys.NumWorkers <= 0 {\npkg/metricstore/metricstore.go:138:\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\npkg/metricstore/metricstore.go:140:\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\npkg/metricstore/metricstore.go:187:\t\terr = ReceiveNats(ms, Keys.NumWorkers, ctx)\npkg/metricstore/config.go:13://\t├─ NumWorkers: Parallel checkpoint/archive workers\npkg/metricstore/config.go:53:\tDefaultMaxWorkers                 = 10\npkg/metricstore/config.go:114://   - NumWorkers:        Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10))\npkg/metricstore/config.go:124:\tNumWorkers         int            `json:\"num-workers\"`\npkg/metricstore/archive.go:108:\twork := make(chan workItem, Keys.NumWorkers)\npkg/metricstore/archive.go:110:\twg.Add(Keys.NumWorkers)\npkg/metricstore/archive.go:111:\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\npkg/metricstore/archive.go:205:\t\t}, Keys.NumWorkers)\npkg/metricstore/archive.go:210:\t\twg.Add(Keys.NumWorkers)\npkg/metricstore/archive.go:211:\t\tfor w := 0; w < Keys.NumWorkers; w++ {\npkg/metricstore/checkpoint.go:184:// Uses worker pool (Keys.NumWorkers) for parallel processing. Only locks one host\npkg/metricstore/checkpoint.go:222:\twg.Add(Keys.NumWorkers)\npkg/metricstore/checkpoint.go:223:\twork := make(chan workItem, Keys.NumWorkers*2)\npkg/metricstore/checkpoint.go:224:\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\npkg/metricstore/checkpoint.go:397:\twork := make(chan [2]string, Keys.NumWorkers*4)\npkg/metricstore/checkpoint.go:400:\twg.Add(Keys.NumWorkers)\npkg/metricstore/checkpoint.go:401:\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\npkg/metricstore/walCheckpoint.go:152:\twalNumShards = max(Keys.NumWorkers, 1)\npkg/metricstore/walCheckpoint.go:705:\twg.Add(Keys.NumWorkers)\npkg/metricstore/walCheckpoint.go:706:\twork := make(chan workItem, Keys.NumWorkers*2)\npkg/metricstore/walCheckpoint.go:708:\tfor range Keys.NumWorkers {"}]},"uuid":"27a6b7a4-c33d-4041-8e07-761efaeda514","timestamp":"2026-03-18T05:44:45.001Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"pkg/metricstore/metricstore.go:136:\t// Set NumWorkers from config or use default\npkg/metricstore/metricstore.go:137:\tif Keys.NumWorkers <= 0 {\npkg/metricstore/metricstore.go:138:\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\npkg/metricstore/metricstore.go:140:\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\npkg/metricstore/metricstore.go:187:\t\terr = ReceiveNats(ms, Keys.NumWorkers, ctx)\npkg/metricstore/config.go:13://\t├─ NumWorkers: Parallel checkpoint/archive workers\npkg/metricstore/config.go:53:\tDefaultMaxWorkers                 = 10\npkg/metricstore/config.go:114://   - NumWorkers:        Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10))\npkg/metricstore/config.go:124:\tNumWorkers         int            `json:\"num-workers\"`\npkg/metricstore/archive.go:108:\twork := make(chan workItem, Keys.NumWorkers)\npkg/metricstore/archive.go:110:\twg.Add(Keys.NumWorkers)\npkg/metricstore/archive.go:111:\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\npkg/metricstore/archive.go:205:\t\t}, Keys.NumWorkers)\npkg/metricstore/archive.go:210:\t\twg.Add(Keys.NumWorkers)\npkg/metricstore/archive.go:211:\t\tfor w := 0; w < Keys.NumWorkers; w++ {\npkg/metricstore/checkpoint.go:184:// Uses worker pool (Keys.NumWorkers) for parallel processing. Only locks one host\npkg/metricstore/checkpoint.go:222:\twg.Add(Keys.NumWorkers)\npkg/metricstore/checkpoint.go:223:\twork := make(chan workItem, Keys.NumWorkers*2)\npkg/metricstore/checkpoint.go:224:\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\npkg/metricstore/checkpoint.go:397:\twork := make(chan [2]string, Keys.NumWorkers*4)\npkg/metricstore/checkpoint.go:400:\twg.Add(Keys.NumWorkers)\npkg/metricstore/checkpoint.go:401:\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\npkg/metricstore/walCheckpoint.go:152:\twalNumShards = max(Keys.NumWorkers, 1)\npkg/metricstore/walCheckpoint.go:705:\twg.Add(Keys.NumWorkers)\npkg/metricstore/walCheckpoint.go:706:\twork := make(chan workItem, Keys.NumWorkers*2)\npkg/metricstore/walCheckpoint.go:708:\tfor range Keys.NumWorkers {","numLines":26},"sourceToolAssistantUUID":"e527be91-685d-4f07-b1bb-1a7078966f5a","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"27a6b7a4-c33d-4041-8e07-761efaeda514","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_012jbtkQ3jMuGMWsPyGp7xbu","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me check the `ReceiveNats` behavior difference when `workers == 1` vs `workers > 1`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3914,"cache_read_input_tokens":78659,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3914},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZA1pXPWDAcKUHWkoELd5","type":"assistant","uuid":"05a42eda-2898-420e-9073-9ae471ee8db1","timestamp":"2026-03-18T05:44:48.581Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"05a42eda-2898-420e-9073-9ae471ee8db1","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_012jbtkQ3jMuGMWsPyGp7xbu","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018CtyjcgWymc271sw1oaB1H","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/lineprotocol.go","limit":101,"offset":45},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3914,"cache_read_input_tokens":78659,"output_tokens":145,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":3914,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZA1pXPWDAcKUHWkoELd5","type":"assistant","uuid":"dbbd51ed-8c95-4cc2-8ae1-9b9df2363e1d","timestamp":"2026-03-18T05:44:49.381Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"dbbd51ed-8c95-4cc2-8ae1-9b9df2363e1d","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_018CtyjcgWymc271sw1oaB1H","toolUseID":"toolu_018CtyjcgWymc271sw1oaB1H","timestamp":"2026-03-18T05:44:49.406Z","uuid":"4b017bc4-0954-483a-bcc7-9afcf9d855a0","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"dbbd51ed-8c95-4cc2-8ae1-9b9df2363e1d","isSidechain":false,"promptId":"91ccd3cf-29e3-4c49-926c-ff2fbce3f600","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018CtyjcgWymc271sw1oaB1H","type":"tool_result","content":"    45→func ReceiveNats(ms *MemoryStore,\n    46→\tworkers int,\n    47→\tctx context.Context,\n    48→) error {\n    49→\tnc := nats.GetClient()\n    50→\n    51→\tif nc == nil {\n    52→\t\tcclog.Warn(\"NATS client not initialized\")\n    53→\t\treturn nil\n    54→\t}\n    55→\n    56→\tvar wg sync.WaitGroup\n    57→\tmsgs := make(chan []byte, max(workers*256, 8192))\n    58→\n    59→\tfor _, sc := range *Keys.Subscriptions {\n    60→\t\tclusterTag := sc.ClusterTag\n    61→\t\tif workers > 1 {\n    62→\t\t\twg.Add(workers)\n    63→\n    64→\t\t\tfor range workers {\n    65→\t\t\t\tgo func() {\n    66→\t\t\t\t\tdefer wg.Done()\n    67→\t\t\t\t\tfor m := range msgs {\n    68→\t\t\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(m)\n    69→\t\t\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n    70→\t\t\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n    71→\t\t\t\t\t\t}\n    72→\t\t\t\t\t}\n    73→\t\t\t\t}()\n    74→\t\t\t}\n    75→\n    76→\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n    77→\t\t\t\tselect {\n    78→\t\t\t\tcase msgs <- data:\n    79→\t\t\t\tcase <-ctx.Done():\n    80→\t\t\t\t}\n    81→\t\t\t})\n    82→\t\t} else {\n    83→\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n    84→\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(data)\n    85→\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n    86→\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n    87→\t\t\t\t}\n    88→\t\t\t})\n    89→\t\t}\n    90→\t\tcclog.Infof(\"NATS subscription to '%s' established\", sc.SubscribeTo)\n    91→\t}\n    92→\n    93→\tgo func() {\n    94→\t\t<-ctx.Done()\n    95→\t\tclose(msgs)\n    96→\t}()\n    97→\n    98→\twg.Wait()\n    99→\n   100→\treturn nil\n   101→}\n   102→\n   103→// reorder prepends prefix to buf in-place when buf has enough spare capacity,\n   104→// avoiding an allocation. Falls back to a regular append otherwise.\n   105→//\n   106→// It is used to assemble the \"type<type-id>\" and \"subtype<stype-id>\" selector\n   107→// strings when the type tag arrives before the type-id tag in the line, so the\n   108→// two byte slices need to be concatenated in tag-declaration order regardless\n   109→// of wire order.\n   110→func reorder(buf, prefix []byte) []byte {\n   111→\tn := len(prefix)\n   112→\tm := len(buf)\n   113→\tif cap(buf) < m+n {\n   114→\t\treturn append(prefix[:n:n], buf...)\n   115→\t} else {\n   116→\t\tbuf = buf[:n+m]\n   117→\t\tfor i := m - 1; i >= 0; i-- {\n   118→\t\t\tbuf[i+n] = buf[i]\n   119→\t\t}\n   120→\t\tfor i := range n {\n   121→\t\t\tbuf[i] = prefix[i]\n   122→\t\t}\n   123→\t\treturn buf\n   124→\t}\n   125→}\n   126→\n   127→// walDropped counts WAL messages dropped due to a full channel.\n   128→// Logged periodically; not critical since binary snapshots capture the data.\n   129→var walDropped atomic.Int64\n   130→\n   131→// decodeState holds the per-call scratch buffers used by DecodeLine.\n   132→// Instances are recycled via decodeStatePool to avoid repeated allocations\n   133→// during high-throughput ingestion.\n   134→type decodeState struct {\n   135→\t// metricBuf holds a copy of the current measurement name (line-protocol\n   136→\t// measurement field). Copied because dec.Measurement() returns a slice\n   137→\t// that is invalidated by the next decoder call.\n   138→\tmetricBuf []byte\n   139→\n   140→\t// selector is the sub-device path passed to WriteToLevel and WALMessage\n   141→\t// (e.g. [\"socket0\"] or [\"socket0\", \"memctrl1\"]). Reused across lines.\n   142→\tselector []string\n   143→\n   144→\t// typeBuf accumulates the concatenated \"type\"+\"type-id\" tag value for the\n   145→\t// current line. Reset at the start of each line's tag-decode loop."}]},"uuid":"3b89a1ce-c531-423a-8c09-804b457ff9f3","timestamp":"2026-03-18T05:44:49.405Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/lineprotocol.go","content":"func ReceiveNats(ms *MemoryStore,\n\tworkers int,\n\tctx context.Context,\n) error {\n\tnc := nats.GetClient()\n\n\tif nc == nil {\n\t\tcclog.Warn(\"NATS client not initialized\")\n\t\treturn nil\n\t}\n\n\tvar wg sync.WaitGroup\n\tmsgs := make(chan []byte, max(workers*256, 8192))\n\n\tfor _, sc := range *Keys.Subscriptions {\n\t\tclusterTag := sc.ClusterTag\n\t\tif workers > 1 {\n\t\t\twg.Add(workers)\n\n\t\t\tfor range workers {\n\t\t\t\tgo func() {\n\t\t\t\t\tdefer wg.Done()\n\t\t\t\t\tfor m := range msgs {\n\t\t\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(m)\n\t\t\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}()\n\t\t\t}\n\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tselect {\n\t\t\t\tcase msgs <- data:\n\t\t\t\tcase <-ctx.Done():\n\t\t\t\t}\n\t\t\t})\n\t\t} else {\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(data)\n\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\t\tcclog.Infof(\"NATS subscription to '%s' established\", sc.SubscribeTo)\n\t}\n\n\tgo func() {\n\t\t<-ctx.Done()\n\t\tclose(msgs)\n\t}()\n\n\twg.Wait()\n\n\treturn nil\n}\n\n// reorder prepends prefix to buf in-place when buf has enough spare capacity,\n// avoiding an allocation. Falls back to a regular append otherwise.\n//\n// It is used to assemble the \"type<type-id>\" and \"subtype<stype-id>\" selector\n// strings when the type tag arrives before the type-id tag in the line, so the\n// two byte slices need to be concatenated in tag-declaration order regardless\n// of wire order.\nfunc reorder(buf, prefix []byte) []byte {\n\tn := len(prefix)\n\tm := len(buf)\n\tif cap(buf) < m+n {\n\t\treturn append(prefix[:n:n], buf...)\n\t} else {\n\t\tbuf = buf[:n+m]\n\t\tfor i := m - 1; i >= 0; i-- {\n\t\t\tbuf[i+n] = buf[i]\n\t\t}\n\t\tfor i := range n {\n\t\t\tbuf[i] = prefix[i]\n\t\t}\n\t\treturn buf\n\t}\n}\n\n// walDropped counts WAL messages dropped due to a full channel.\n// Logged periodically; not critical since binary snapshots capture the data.\nvar walDropped atomic.Int64\n\n// decodeState holds the per-call scratch buffers used by DecodeLine.\n// Instances are recycled via decodeStatePool to avoid repeated allocations\n// during high-throughput ingestion.\ntype decodeState struct {\n\t// metricBuf holds a copy of the current measurement name (line-protocol\n\t// measurement field). Copied because dec.Measurement() returns a slice\n\t// that is invalidated by the next decoder call.\n\tmetricBuf []byte\n\n\t// selector is the sub-device path passed to WriteToLevel and WALMessage\n\t// (e.g. [\"socket0\"] or [\"socket0\", \"memctrl1\"]). Reused across lines.\n\tselector []string\n\n\t// typeBuf accumulates the concatenated \"type\"+\"type-id\" tag value for the\n\t// current line. Reset at the start of each line's tag-decode loop.","numLines":101,"startLine":45,"totalLines":380}},"sourceToolAssistantUUID":"dbbd51ed-8c95-4cc2-8ae1-9b9df2363e1d","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"3b89a1ce-c531-423a-8c09-804b457ff9f3","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Prr87KpccDExjv2RwXjFjm","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me check the git log to see what `ReceiveNats` looked like before the WAL sharding changes:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1503,"cache_read_input_tokens":82573,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1503},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZA1prFZx2LBttsQaQBCj","type":"assistant","uuid":"52459534-906b-4f2d-838e-91c3f73bf6bc","timestamp":"2026-03-18T05:44:53.170Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"52459534-906b-4f2d-838e-91c3f73bf6bc","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Prr87KpccDExjv2RwXjFjm","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NQNkybGaRyabj7BuQZFk3e","name":"Bash","input":{"command":"git log --oneline -10 pkg/metricstore/lineprotocol.go","description":"Show recent commits for lineprotocol.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1503,"cache_read_input_tokens":82573,"output_tokens":125,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1503,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZA1prFZx2LBttsQaQBCj","type":"assistant","uuid":"68ea6ab5-345b-4acf-b440-7147f6dfbafa","timestamp":"2026-03-18T05:44:54.168Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"68ea6ab5-345b-4acf-b440-7147f6dfbafa","isSidechain":false,"promptId":"91ccd3cf-29e3-4c49-926c-ff2fbce3f600","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NQNkybGaRyabj7BuQZFk3e","type":"tool_result","content":"bf1a8a17 fix: Shard WAL consumer for higher throughput\n50aed595 fix: metricstore NATS contention\n8234ad31 fix: Fix metricstore memory explosion from broken emergency free and batch aborts\na1db8263 Document line protocol. Optimize REST writeMetric path\n4c3cd8e6 Merge branch 'dev' into optimize-checkpoint-wal\n6ecb9349 Switch to CC line-protocol package. Update cc-lib.\nca0f9a42 Introduce metric store binary checkpoints with write ahead log\n499b4287 Switch to cclib nats client\nf4130103 Move metricstore from internal to pkg","is_error":false}]},"uuid":"3dcec5f9-532f-412d-93ff-1ba4434e6931","timestamp":"2026-03-18T05:44:54.284Z","toolUseResult":{"stdout":"bf1a8a17 fix: Shard WAL consumer for higher throughput\n50aed595 fix: metricstore NATS contention\n8234ad31 fix: Fix metricstore memory explosion from broken emergency free and batch aborts\na1db8263 Document line protocol. Optimize REST writeMetric path\n4c3cd8e6 Merge branch 'dev' into optimize-checkpoint-wal\n6ecb9349 Switch to CC line-protocol package. Update cc-lib.\nca0f9a42 Introduce metric store binary checkpoints with write ahead log\n499b4287 Switch to cclib nats client\nf4130103 Move metricstore from internal to pkg","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"68ea6ab5-345b-4acf-b440-7147f6dfbafa","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"3dcec5f9-532f-412d-93ff-1ba4434e6931","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01XWdC26f6UVnCeeC2cJNDea","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HHDRm6V4FRtEuTzfPw5k8H","name":"Bash","input":{"command":"git diff 50aed595..bf1a8a17 -- pkg/metricstore/lineprotocol.go pkg/metricstore/metricstore.go","description":"Show WAL sharding diff for these two files"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":301,"cache_read_input_tokens":84076,"output_tokens":116,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":301,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZA1qDXEmphvRmp4BVAWE","type":"assistant","uuid":"441d86db-5e61-4f59-a399-6f9ed9267b2f","timestamp":"2026-03-18T05:44:58.272Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"441d86db-5e61-4f59-a399-6f9ed9267b2f","isSidechain":false,"promptId":"91ccd3cf-29e3-4c49-926c-ff2fbce3f600","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HHDRm6V4FRtEuTzfPw5k8H","type":"tool_result","content":"diff --git a/pkg/metricstore/lineprotocol.go b/pkg/metricstore/lineprotocol.go\nindex d7b96b91..caec82e9 100644\n--- a/pkg/metricstore/lineprotocol.go\n+++ b/pkg/metricstore/lineprotocol.go\n@@ -361,13 +361,11 @@ func DecodeLine(dec *lineprotocol.Decoder,\n \t\t\t\tValue:      metric.Value,\n \t\t\t\tTimestamp:  time,\n \t\t\t}\n-\t\t\tselect {\n-\t\t\tcase WALMessages <- msg:\n-\t\t\tdefault:\n-\t\t\t\t// WAL channel full — metric is written to memory store but not WAL.\n+\t\t\tif !SendWALMessage(msg) {\n+\t\t\t\t// WAL shard channel full — metric is written to memory store but not WAL.\n \t\t\t\t// Next binary snapshot will capture it.\n \t\t\t\tif dropped := walDropped.Add(1); dropped%10000 == 1 {\n-\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> WAL channel full, dropped %d messages (data safe in memory, next snapshot will capture)\", dropped)\n+\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> WAL shard channel full, dropped %d messages (data safe in memory, next snapshot will capture)\", dropped)\n \t\t\t\t}\n \t\t\t}\n \t\t}\ndiff --git a/pkg/metricstore/metricstore.go b/pkg/metricstore/metricstore.go\nindex cd74f481..83c78ab2 100644\n--- a/pkg/metricstore/metricstore.go\n+++ b/pkg/metricstore/metricstore.go\n@@ -277,7 +277,9 @@ func Shutdown() {\n \t}\n \n \tif Keys.Checkpoints.FileFormat == \"wal\" {\n-\t\tclose(WALMessages)\n+\t\tfor _, ch := range walShardChs {\n+\t\t\tclose(ch)\n+\t\t}\n \t}\n \n \tcclog.Infof(\"[METRICSTORE]> Writing to '%s'...\\n\", Keys.Checkpoints.RootDir)","is_error":false}]},"uuid":"f5eb34eb-9efb-42f0-b57a-ed9e525f5c5d","timestamp":"2026-03-18T05:44:58.326Z","toolUseResult":{"stdout":"diff --git a/pkg/metricstore/lineprotocol.go b/pkg/metricstore/lineprotocol.go\nindex d7b96b91..caec82e9 100644\n--- a/pkg/metricstore/lineprotocol.go\n+++ b/pkg/metricstore/lineprotocol.go\n@@ -361,13 +361,11 @@ func DecodeLine(dec *lineprotocol.Decoder,\n \t\t\t\tValue:      metric.Value,\n \t\t\t\tTimestamp:  time,\n \t\t\t}\n-\t\t\tselect {\n-\t\t\tcase WALMessages <- msg:\n-\t\t\tdefault:\n-\t\t\t\t// WAL channel full — metric is written to memory store but not WAL.\n+\t\t\tif !SendWALMessage(msg) {\n+\t\t\t\t// WAL shard channel full — metric is written to memory store but not WAL.\n \t\t\t\t// Next binary snapshot will capture it.\n \t\t\t\tif dropped := walDropped.Add(1); dropped%10000 == 1 {\n-\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> WAL channel full, dropped %d messages (data safe in memory, next snapshot will capture)\", dropped)\n+\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> WAL shard channel full, dropped %d messages (data safe in memory, next snapshot will capture)\", dropped)\n \t\t\t\t}\n \t\t\t}\n \t\t}\ndiff --git a/pkg/metricstore/metricstore.go b/pkg/metricstore/metricstore.go\nindex cd74f481..83c78ab2 100644\n--- a/pkg/metricstore/metricstore.go\n+++ b/pkg/metricstore/metricstore.go\n@@ -277,7 +277,9 @@ func Shutdown() {\n \t}\n \n \tif Keys.Checkpoints.FileFormat == \"wal\" {\n-\t\tclose(WALMessages)\n+\t\tfor _, ch := range walShardChs {\n+\t\t\tclose(ch)\n+\t\t}\n \t}\n \n \tcclog.Infof(\"[METRICSTORE]> Writing to '%s'...\\n\", Keys.Checkpoints.RootDir)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"441d86db-5e61-4f59-a399-6f9ed9267b2f","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"f5eb34eb-9efb-42f0-b57a-ed9e525f5c5d","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01EzQSj7fDeYrjjCTmUuTZLz","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UVLeaeV9UnQ1YxmZnEWG8L","name":"Bash","input":{"command":"git show 50aed595:pkg/metricstore/metricstore.go | grep -n -A 10 'ReceiveNats'","description":"Show ReceiveNats call before WAL sharding"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":659,"cache_read_input_tokens":84377,"output_tokens":114,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":659,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZA1qWMmKMkxkFYbLgVnC","type":"assistant","uuid":"54ea7c39-64e9-421c-b20f-5fb406927da6","timestamp":"2026-03-18T05:45:01.422Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"54ea7c39-64e9-421c-b20f-5fb406927da6","isSidechain":false,"promptId":"91ccd3cf-29e3-4c49-926c-ff2fbce3f600","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UVLeaeV9UnQ1YxmZnEWG8L","type":"tool_result","content":"187:\t\terr = ReceiveNats(ms, Keys.NumWorkers, ctx)\n188-\t\tif err != nil {\n189-\t\t\tcclog.Fatal(err)\n190-\t\t}\n191-\t}\n192-}\n193-\n194-// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n195-//\n196-// This function must be called before GetMemoryStore() and can only be called once due to\n197-// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.","is_error":false}]},"uuid":"0937c646-d7f7-4628-a221-c3eb1d432033","timestamp":"2026-03-18T05:45:01.470Z","toolUseResult":{"stdout":"187:\t\terr = ReceiveNats(ms, Keys.NumWorkers, ctx)\n188-\t\tif err != nil {\n189-\t\t\tcclog.Fatal(err)\n190-\t\t}\n191-\t}\n192-}\n193-\n194-// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n195-//\n196-// This function must be called before GetMemoryStore() and can only be called once due to\n197-// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"54ea7c39-64e9-421c-b20f-5fb406927da6","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"0937c646-d7f7-4628-a221-c3eb1d432033","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0161XEVEriR7YsoR6EyxSqwF","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Par8VTsbNKugEgw3N246np","name":"Bash","input":{"command":"git show 50aed595:pkg/metricstore/lineprotocol.go | grep -n 'wg.Wait\\|wg.Add\\|workers'","description":"Check ReceiveNats blocking in pre-sharding code"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":253,"cache_read_input_tokens":85036,"output_tokens":120,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":253,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZA1qjqsu9db2nrCQgtEn","type":"assistant","uuid":"0905b9a6-fd00-45f7-b837-b902192ce495","timestamp":"2026-03-18T05:45:05.005Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"0905b9a6-fd00-45f7-b837-b902192ce495","isSidechain":false,"promptId":"91ccd3cf-29e3-4c49-926c-ff2fbce3f600","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Par8VTsbNKugEgw3N246np","type":"tool_result","content":"38:// When workers > 1 a pool of goroutines drains a shared channel so that\n39:// multiple messages can be decoded in parallel. With workers == 1 the NATS\n46:\tworkers int,\n57:\tmsgs := make(chan []byte, max(workers*256, 8192))\n61:\t\tif workers > 1 {\n62:\t\t\twg.Add(workers)\n64:\t\t\tfor range workers {\n98:\twg.Wait()","is_error":false}]},"uuid":"0d7302c0-f014-4abf-82a3-7efdb4aa1b77","timestamp":"2026-03-18T05:45:05.054Z","toolUseResult":{"stdout":"38:// When workers > 1 a pool of goroutines drains a shared channel so that\n39:// multiple messages can be decoded in parallel. With workers == 1 the NATS\n46:\tworkers int,\n57:\tmsgs := make(chan []byte, max(workers*256, 8192))\n61:\t\tif workers > 1 {\n62:\t\t\twg.Add(workers)\n64:\t\t\tfor range workers {\n98:\twg.Wait()","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"0905b9a6-fd00-45f7-b837-b902192ce495","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"0d7302c0-f014-4abf-82a3-7efdb4aa1b77","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_013wQhgQzC4zR2CDYNgi12UP","type":"message","role":"assistant","content":[{"type":"text","text":"So `ReceiveNats` was **identically blocking** before the WAL sharding changes — the `wg.Wait()` on line 98 and the `workers > 1` path with `wg.Add(workers)` existed in commit `50aed595` (the commit before the sharding). The WAL sharding didn't change `ReceiveNats` or the `Init()` call to it at all.\n\nLet me check when this blocking behavior was introduced vs when `ReceiveNats` was first added:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":338,"cache_read_input_tokens":85289,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":338},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZA1r1891qzDcJxdMUTh3","type":"assistant","uuid":"12ca42c1-1fbf-44f6-b2d1-72c5e3eb6dbe","timestamp":"2026-03-18T05:45:10.239Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"12ca42c1-1fbf-44f6-b2d1-72c5e3eb6dbe","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_013wQhgQzC4zR2CDYNgi12UP","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016BkSU2bjYMMy6ANYznMw9Q","name":"Bash","input":{"command":"git log --oneline --all -- pkg/metricstore/lineprotocol.go | head -20","description":"Full history of lineprotocol.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":338,"cache_read_input_tokens":85289,"output_tokens":222,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":338,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZA1r1891qzDcJxdMUTh3","type":"assistant","uuid":"6b032fe5-474f-4ed8-ad8d-1fb88fa75b08","timestamp":"2026-03-18T05:45:11.089Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"6b032fe5-474f-4ed8-ad8d-1fb88fa75b08","isSidechain":false,"promptId":"91ccd3cf-29e3-4c49-926c-ff2fbce3f600","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016BkSU2bjYMMy6ANYznMw9Q","type":"tool_result","content":"6af2a920 Completed 'Explore' agent: Investigate ReceiveNats blocking (toolu_01ECFd)\nbf1a8a17 fix: Shard WAL consumer for higher throughput\n50aed595 fix: metricstore NATS contention\n818a05f2 carry forward: uncommitted session files\n48a6fbb0 carry forward: uncommitted session files\n8234ad31 fix: Fix metricstore memory explosion from broken emergency free and batch aborts\necd29b28 carry forward: uncommitted session files\n21b6c1b5 carry forward: uncommitted session files\na1db8263 Document line protocol. Optimize REST writeMetric path\n23ce1722 Merge branch 'dev' into optimize-checkpoint-loading\n4c3cd8e6 Merge branch 'dev' into optimize-checkpoint-wal\n6ecb9349 Switch to CC line-protocol package. Update cc-lib.\nca0f9a42 Introduce metric store binary checkpoints with write ahead log\n9c0104a2 Attempt to minimize heap allocations by using caching\n9fc1836c Replace avro checkpoints with native binary format\n499b4287 Switch to cclib nats client\nf4130103 Move metricstore from internal to pkg","is_error":false}]},"uuid":"a9e71e87-f5d4-45fd-b9b8-c80435ac8d2d","timestamp":"2026-03-18T05:45:11.191Z","toolUseResult":{"stdout":"6af2a920 Completed 'Explore' agent: Investigate ReceiveNats blocking (toolu_01ECFd)\nbf1a8a17 fix: Shard WAL consumer for higher throughput\n50aed595 fix: metricstore NATS contention\n818a05f2 carry forward: uncommitted session files\n48a6fbb0 carry forward: uncommitted session files\n8234ad31 fix: Fix metricstore memory explosion from broken emergency free and batch aborts\necd29b28 carry forward: uncommitted session files\n21b6c1b5 carry forward: uncommitted session files\na1db8263 Document line protocol. Optimize REST writeMetric path\n23ce1722 Merge branch 'dev' into optimize-checkpoint-loading\n4c3cd8e6 Merge branch 'dev' into optimize-checkpoint-wal\n6ecb9349 Switch to CC line-protocol package. Update cc-lib.\nca0f9a42 Introduce metric store binary checkpoints with write ahead log\n9c0104a2 Attempt to minimize heap allocations by using caching\n9fc1836c Replace avro checkpoints with native binary format\n499b4287 Switch to cclib nats client\nf4130103 Move metricstore from internal to pkg","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"6b032fe5-474f-4ed8-ad8d-1fb88fa75b08","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"parentUuid":"a61e523d-d3be-4792-be29-be49df8ba649","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_019gmukdV6CnsGjXM7fxoxem","type":"message","role":"assistant","content":[{"type":"text","text":"The `wg.Wait()` has been there since the very first commit (`ca0f9a42`) that introduced `ReceiveNats`. It was **always a blocking call**. The WAL sharding changes (`bf1a8a17`) did not modify `ReceiveNats` or the `Init()` call to it at all — the diff confirms only the WAL send path and shutdown changed.\n\nThis is a **pre-existing bug** — `ReceiveNats` was always designed to block (its own docstring says so), but `Init()` was always calling it synchronously. The reason it wasn't a problem before is likely one of:\n\n1. **`NumWorkers` was 1** — when `workers == 1`, `ReceiveNats` takes the `else` branch (inline decode, no `wg.Add`), so `wg.Wait()` returns immediately\n2. **NATS wasn't configured** — `Keys.Subscriptions` was nil, or `nats.GetClient()` returned nil\n\nBut the fix is the same regardless — `ReceiveNats` needs to run in a background goroutine. Let me update the plan with this context."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1249,"cache_read_input_tokens":86775,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1249},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZA1sS9KKJahw5E93Wqun","type":"assistant","uuid":"a9822536-67c8-48b0-9bab-2409f30b4f64","timestamp":"2026-03-18T05:45:34.715Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"a9822536-67c8-48b0-9bab-2409f30b4f64","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_019gmukdV6CnsGjXM7fxoxem","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MHzeLiEZC5HCFnRh6gXVfJ","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/.claude/plans/bright-wandering-flurry.md","old_string":"# Fix: ReceiveNats blocks Init() during startup\n\n## Context\n\nAfter the sharded WAL changes, the application blocks during startup in `ReceiveNats`. `ReceiveNats` is designed to block until context cancellation (its `wg.Wait()` on line 98 waits for worker goroutines that only exit when `ctx` is cancelled at shutdown). However, it is called **synchronously** from `Init()` at line 187 of `metricstore.go`, which prevents `Init()` from returning and the server from finishing startup.\n\n## Root Cause\n\n**File:** `pkg/metricstore/metricstore.go:186-191`\n\n```go\nif Keys.Subscriptions != nil {\n    err = ReceiveNats(ms, Keys.NumWorkers, ctx)  // ← blocks forever\n    if err != nil {\n        cclog.Fatal(err)\n    }\n}\n```\n\n`ReceiveNats` (in `lineprotocol.go`) spawns `NumWorkers` goroutines that loop on a `msgs` channel. The channel is only closed when `ctx` is cancelled (at shutdown). So `wg.Wait()` at line 98 blocks until shutdown, and `Init()` never returns.\n\nThe caller (`cmd/cc-backend/main.go:346`) calls `Init()` synchronously and expects it to return so the HTTP server can start.\n\n## Fix\n\n**File:** `pkg/metricstore/metricstore.go` — wrap `ReceiveNats` call in `wg.Go()`:\n\n```go\nif Keys.Subscriptions != nil {\n    wg.Go(func() {\n        if err := ReceiveNats(ms, Keys.NumWorkers, ctx); err != nil {\n            cclog.Fatal(err)\n        }\n    })\n}\n```\n\nThis runs `ReceiveNats` as a background goroutine tracked by the caller's WaitGroup, allowing `Init()` to return immediately.\n\n## Verification\n\n1. `go build ./...`\n2. `go test ./pkg/metricstore/...`\n3. Verify the app starts up and serves HTTP requests when NATS subscriptions are configured","new_string":"# Fix: ReceiveNats blocks Init() during startup\n\n## Context\n\nThe application blocks during startup in `ReceiveNats`. `ReceiveNats` is designed to block until context cancellation — its docstring says \"blocks until ctx is cancelled\" and `wg.Wait()` on line 98 waits for worker goroutines that only exit when `ctx` is cancelled at shutdown. However, it is called **synchronously** from `Init()` at line 187, which prevents `Init()` from returning and the server from finishing startup.\n\n**This is a pre-existing bug** (present since commit `ca0f9a42` that introduced `ReceiveNats`). The WAL sharding changes did not modify `ReceiveNats` or the `Init()` call to it. Previously masked because either `NumWorkers` was 1 (the `workers == 1` path in `ReceiveNats` skips `wg.Add`, so `wg.Wait()` returns immediately) or NATS subscriptions were not configured.\n\n## Root Cause\n\n**File:** `pkg/metricstore/metricstore.go:186-191`\n\n```go\nif Keys.Subscriptions != nil {\n    err = ReceiveNats(ms, Keys.NumWorkers, ctx)  // ← blocks forever when workers > 1\n    if err != nil {\n        cclog.Fatal(err)\n    }\n}\n```\n\nWhen `workers > 1`, `ReceiveNats` calls `wg.Add(workers)` per subscription, spawns goroutines that loop on a `msgs` channel (closed only on `ctx.Done()`), and then calls `wg.Wait()` — blocking until shutdown.\n\nThe caller (`cmd/cc-backend/main.go:346`) calls `Init()` synchronously and expects it to return so the HTTP server can start.\n\n## Fix\n\n**File:** `pkg/metricstore/metricstore.go` — wrap `ReceiveNats` call in `wg.Go()`:\n\n```go\nif Keys.Subscriptions != nil {\n    wg.Go(func() {\n        if err := ReceiveNats(ms, Keys.NumWorkers, ctx); err != nil {\n            cclog.Fatal(err)\n        }\n    })\n}\n```\n\nThis runs `ReceiveNats` as a background goroutine tracked by the caller's WaitGroup, allowing `Init()` to return immediately.\n\n## Verification\n\n1. `go build ./...`\n2. `go test ./pkg/metricstore/...`\n3. Verify the app starts up and serves HTTP requests when NATS subscriptions are configured"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1249,"cache_read_input_tokens":86775,"output_tokens":1518,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1249,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZA1sS9KKJahw5E93Wqun","type":"assistant","uuid":"434b3181-ecc2-4079-9d66-268bc9ea8600","timestamp":"2026-03-18T05:45:53.686Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"parentUuid":"434b3181-ecc2-4079-9d66-268bc9ea8600","isSidechain":false,"promptId":"91ccd3cf-29e3-4c49-926c-ff2fbce3f600","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MHzeLiEZC5HCFnRh6gXVfJ","type":"tool_result","content":"The file /Users/jan/.claude/plans/bright-wandering-flurry.md has been updated successfully."}]},"uuid":"90710daf-2afd-491e-a217-3ad4e843e531","timestamp":"2026-03-18T05:45:53.698Z","toolUseResult":{"filePath":"/Users/jan/.claude/plans/bright-wandering-flurry.md","oldString":"# Fix: ReceiveNats blocks Init() during startup\n\n## Context\n\nAfter the sharded WAL changes, the application blocks during startup in `ReceiveNats`. `ReceiveNats` is designed to block until context cancellation (its `wg.Wait()` on line 98 waits for worker goroutines that only exit when `ctx` is cancelled at shutdown). However, it is called **synchronously** from `Init()` at line 187 of `metricstore.go`, which prevents `Init()` from returning and the server from finishing startup.\n\n## Root Cause\n\n**File:** `pkg/metricstore/metricstore.go:186-191`\n\n```go\nif Keys.Subscriptions != nil {\n    err = ReceiveNats(ms, Keys.NumWorkers, ctx)  // ← blocks forever\n    if err != nil {\n        cclog.Fatal(err)\n    }\n}\n```\n\n`ReceiveNats` (in `lineprotocol.go`) spawns `NumWorkers` goroutines that loop on a `msgs` channel. The channel is only closed when `ctx` is cancelled (at shutdown). So `wg.Wait()` at line 98 blocks until shutdown, and `Init()` never returns.\n\nThe caller (`cmd/cc-backend/main.go:346`) calls `Init()` synchronously and expects it to return so the HTTP server can start.\n\n## Fix\n\n**File:** `pkg/metricstore/metricstore.go` — wrap `ReceiveNats` call in `wg.Go()`:\n\n```go\nif Keys.Subscriptions != nil {\n    wg.Go(func() {\n        if err := ReceiveNats(ms, Keys.NumWorkers, ctx); err != nil {\n            cclog.Fatal(err)\n        }\n    })\n}\n```\n\nThis runs `ReceiveNats` as a background goroutine tracked by the caller's WaitGroup, allowing `Init()` to return immediately.\n\n## Verification\n\n1. `go build ./...`\n2. `go test ./pkg/metricstore/...`\n3. Verify the app starts up and serves HTTP requests when NATS subscriptions are configured","newString":"# Fix: ReceiveNats blocks Init() during startup\n\n## Context\n\nThe application blocks during startup in `ReceiveNats`. `ReceiveNats` is designed to block until context cancellation — its docstring says \"blocks until ctx is cancelled\" and `wg.Wait()` on line 98 waits for worker goroutines that only exit when `ctx` is cancelled at shutdown. However, it is called **synchronously** from `Init()` at line 187, which prevents `Init()` from returning and the server from finishing startup.\n\n**This is a pre-existing bug** (present since commit `ca0f9a42` that introduced `ReceiveNats`). The WAL sharding changes did not modify `ReceiveNats` or the `Init()` call to it. Previously masked because either `NumWorkers` was 1 (the `workers == 1` path in `ReceiveNats` skips `wg.Add`, so `wg.Wait()` returns immediately) or NATS subscriptions were not configured.\n\n## Root Cause\n\n**File:** `pkg/metricstore/metricstore.go:186-191`\n\n```go\nif Keys.Subscriptions != nil {\n    err = ReceiveNats(ms, Keys.NumWorkers, ctx)  // ← blocks forever when workers > 1\n    if err != nil {\n        cclog.Fatal(err)\n    }\n}\n```\n\nWhen `workers > 1`, `ReceiveNats` calls `wg.Add(workers)` per subscription, spawns goroutines that loop on a `msgs` channel (closed only on `ctx.Done()`), and then calls `wg.Wait()` — blocking until shutdown.\n\nThe caller (`cmd/cc-backend/main.go:346`) calls `Init()` synchronously and expects it to return so the HTTP server can start.\n\n## Fix\n\n**File:** `pkg/metricstore/metricstore.go` — wrap `ReceiveNats` call in `wg.Go()`:\n\n```go\nif Keys.Subscriptions != nil {\n    wg.Go(func() {\n        if err := ReceiveNats(ms, Keys.NumWorkers, ctx); err != nil {\n            cclog.Fatal(err)\n        }\n    })\n}\n```\n\nThis runs `ReceiveNats` as a background goroutine tracked by the caller's WaitGroup, allowing `Init()` to return immediately.\n\n## Verification\n\n1. `go build ./...`\n2. `go test ./pkg/metricstore/...`\n3. Verify the app starts up and serves HTTP requests when NATS subscriptions are configured","originalFile":"# Fix: ReceiveNats blocks Init() during startup\n\n## Context\n\nAfter the sharded WAL changes, the application blocks during startup in `ReceiveNats`. `ReceiveNats` is designed to block until context cancellation (its `wg.Wait()` on line 98 waits for worker goroutines that only exit when `ctx` is cancelled at shutdown). However, it is called **synchronously** from `Init()` at line 187 of `metricstore.go`, which prevents `Init()` from returning and the server from finishing startup.\n\n## Root Cause\n\n**File:** `pkg/metricstore/metricstore.go:186-191`\n\n```go\nif Keys.Subscriptions != nil {\n    err = ReceiveNats(ms, Keys.NumWorkers, ctx)  // ← blocks forever\n    if err != nil {\n        cclog.Fatal(err)\n    }\n}\n```\n\n`ReceiveNats` (in `lineprotocol.go`) spawns `NumWorkers` goroutines that loop on a `msgs` channel. The channel is only closed when `ctx` is cancelled (at shutdown). So `wg.Wait()` at line 98 blocks until shutdown, and `Init()` never returns.\n\nThe caller (`cmd/cc-backend/main.go:346`) calls `Init()` synchronously and expects it to return so the HTTP server can start.\n\n## Fix\n\n**File:** `pkg/metricstore/metricstore.go` — wrap `ReceiveNats` call in `wg.Go()`:\n\n```go\nif Keys.Subscriptions != nil {\n    wg.Go(func() {\n        if err := ReceiveNats(ms, Keys.NumWorkers, ctx); err != nil {\n            cclog.Fatal(err)\n        }\n    })\n}\n```\n\nThis runs `ReceiveNats` as a background goroutine tracked by the caller's WaitGroup, allowing `Init()` to return immediately.\n\n## Verification\n\n1. `go build ./...`\n2. `go test ./pkg/metricstore/...`\n3. Verify the app starts up and serves HTTP requests when NATS subscriptions are configured\n","structuredPatch":[{"oldStart":2,"oldLines":22,"newStart":2,"newLines":24,"lines":[" "," ## Context"," ","-After the sharded WAL changes, the application blocks during startup in `ReceiveNats`. `ReceiveNats` is designed to block until context cancellation (its `wg.Wait()` on line 98 waits for worker goroutines that only exit when `ctx` is cancelled at shutdown). However, it is called **synchronously** from `Init()` at line 187 of `metricstore.go`, which prevents `Init()` from returning and the server from finishing startup.","+The application blocks during startup in `ReceiveNats`. `ReceiveNats` is designed to block until context cancellation — its docstring says \"blocks until ctx is cancelled\" and `wg.Wait()` on line 98 waits for worker goroutines that only exit when `ctx` is cancelled at shutdown. However, it is called **synchronously** from `Init()` at line 187, which prevents `Init()` from returning and the server from finishing startup."," ","+**This is a pre-existing bug** (present since commit `ca0f9a42` that introduced `ReceiveNats`). The WAL sharding changes did not modify `ReceiveNats` or the `Init()` call to it. Previously masked because either `NumWorkers` was 1 (the `workers == 1` path in `ReceiveNats` skips `wg.Add`, so `wg.Wait()` returns immediately) or NATS subscriptions were not configured.","+"," ## Root Cause"," "," **File:** `pkg/metricstore/metricstore.go:186-191`"," "," ```go"," if Keys.Subscriptions != nil {","-    err = ReceiveNats(ms, Keys.NumWorkers, ctx)  // ← blocks forever","+    err = ReceiveNats(ms, Keys.NumWorkers, ctx)  // ← blocks forever when workers > 1","     if err != nil {","         cclog.Fatal(err)","     }"," }"," ```"," ","-`ReceiveNats` (in `lineprotocol.go`) spawns `NumWorkers` goroutines that loop on a `msgs` channel. The channel is only closed when `ctx` is cancelled (at shutdown). So `wg.Wait()` at line 98 blocks until shutdown, and `Init()` never returns.","+When `workers > 1`, `ReceiveNats` calls `wg.Add(workers)` per subscription, spawns goroutines that loop on a `msgs` channel (closed only on `ctx.Done()`), and then calls `wg.Wait()` — blocking until shutdown."," "," The caller (`cmd/cc-backend/main.go:346`) calls `Init()` synchronously and expects it to return so the HTTP server can start."," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"434b3181-ecc2-4079-9d66-268bc9ea8600","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+After those changes the application blocks during startup in ReceiveNats. Ivestigate issue and fix it.
\ No newline at end of file
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+{"parentUuid":"8a831c63-c87b-4a8f-ad6b-f7c5f549ab50","isSidechain":false,"promptId":"91ccd3cf-29e3-4c49-926c-ff2fbce3f600","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Fix: ReceiveNats blocks Init() during startup\n\n## Context\n\nThe application blocks during startup in `ReceiveNats`. `ReceiveNats` is designed to block until context cancellation — its docstring says \"blocks until ctx is cancelled\" and `wg.Wait()` on line 98 waits for worker goroutines that only exit when `ctx` is cancelled at shutdown. However, it is called **synchronously** from `Init()` at line 187, which prevents `Init()` from returning and the server from finishing startup.\n\n**This is a pre-existing bug** (present since commit `ca0f9a42` that introduced `ReceiveNats`). The WAL sharding changes did not modify `ReceiveNats` or the `Init()` call to it. Previously masked because either `NumWorkers` was 1 (the `workers == 1` path in `ReceiveNats` skips `wg.Add`, so `wg.Wait()` returns immediately) or NATS subscriptions were not configured.\n\n## Root Cause\n\n**File:** `pkg/metricstore/metricstore.go:186-191`\n\n```go\nif Keys.Subscriptions != nil {\n    err = ReceiveNats(ms, Keys.NumWorkers, ctx)  // ← blocks forever when workers > 1\n    if err != nil {\n        cclog.Fatal(err)\n    }\n}\n```\n\nWhen `workers > 1`, `ReceiveNats` calls `wg.Add(workers)` per subscription, spawns goroutines that loop on a `msgs` channel (closed only on `ctx.Done()`), and then calls `wg.Wait()` — blocking until shutdown.\n\nThe caller (`cmd/cc-backend/main.go:346`) calls `Init()` synchronously and expects it to return so the HTTP server can start.\n\n## Fix\n\n**File:** `pkg/metricstore/metricstore.go` — wrap `ReceiveNats` call in `wg.Go()`:\n\n```go\nif Keys.Subscriptions != nil {\n    wg.Go(func() {\n        if err := ReceiveNats(ms, Keys.NumWorkers, ctx); err != nil {\n            cclog.Fatal(err)\n        }\n    })\n}\n```\n\nThis runs `ReceiveNats` as a background goroutine tracked by the caller's WaitGroup, allowing `Init()` to return immediately.\n\n## Verification\n\n1. `go build ./...`\n2. `go test ./pkg/metricstore/...`\n3. Verify the app starts up and serves HTTP requests when NATS subscriptions are configured\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/734f1e28-b805-471f-8f2c-275878888543.jsonl"},"uuid":"c3a1fad2-5d42-421c-a201-9e0eb32d598e","timestamp":"2026-03-18T05:46:06.682Z","planContent":"# Fix: ReceiveNats blocks Init() during startup\n\n## Context\n\nThe application blocks during startup in `ReceiveNats`. `ReceiveNats` is designed to block until context cancellation — its docstring says \"blocks until ctx is cancelled\" and `wg.Wait()` on line 98 waits for worker goroutines that only exit when `ctx` is cancelled at shutdown. However, it is called **synchronously** from `Init()` at line 187, which prevents `Init()` from returning and the server from finishing startup.\n\n**This is a pre-existing bug** (present since commit `ca0f9a42` that introduced `ReceiveNats`). The WAL sharding changes did not modify `ReceiveNats` or the `Init()` call to it. Previously masked because either `NumWorkers` was 1 (the `workers == 1` path in `ReceiveNats` skips `wg.Add`, so `wg.Wait()` returns immediately) or NATS subscriptions were not configured.\n\n## Root Cause\n\n**File:** `pkg/metricstore/metricstore.go:186-191`\n\n```go\nif Keys.Subscriptions != nil {\n    err = ReceiveNats(ms, Keys.NumWorkers, ctx)  // ← blocks forever when workers > 1\n    if err != nil {\n        cclog.Fatal(err)\n    }\n}\n```\n\nWhen `workers > 1`, `ReceiveNats` calls `wg.Add(workers)` per subscription, spawns goroutines that loop on a `msgs` channel (closed only on `ctx.Done()`), and then calls `wg.Wait()` — blocking until shutdown.\n\nThe caller (`cmd/cc-backend/main.go:346`) calls `Init()` synchronously and expects it to return so the HTTP server can start.\n\n## Fix\n\n**File:** `pkg/metricstore/metricstore.go` — wrap `ReceiveNats` call in `wg.Go()`:\n\n```go\nif Keys.Subscriptions != nil {\n    wg.Go(func() {\n        if err := ReceiveNats(ms, Keys.NumWorkers, ctx); err != nil {\n            cclog.Fatal(err)\n        }\n    })\n}\n```\n\nThis runs `ReceiveNats` as a background goroutine tracked by the caller's WaitGroup, allowing `Init()` to return immediately.\n\n## Verification\n\n1. `go build ./...`\n2. `go test ./pkg/metricstore/...`\n3. Verify the app starts up and serves HTTP requests when NATS subscriptions are configured\n","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d3ad1366-bfc1-4830-9b0f-37e9a88aca1a","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"parentUuid":"9653e54b-3fb0-43b0-82d5-57bbc68a71b5","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_012L9CdcVFyhJuhkqQQyGH2B","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me check if there's a `wg` variable available in this context."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":918,"cache_read_input_tokens":19165,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":918},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZA1vpJuDq3Jucey1VAko","type":"assistant","uuid":"108172c9-efe7-4574-b404-2d431388d0ae","timestamp":"2026-03-18T05:46:12.415Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d3ad1366-bfc1-4830-9b0f-37e9a88aca1a","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"108172c9-efe7-4574-b404-2d431388d0ae","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_012L9CdcVFyhJuhkqQQyGH2B","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CrYrT5JKwKzQoSGjRRkjjy","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go","offset":100,"limit":90},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":918,"cache_read_input_tokens":19165,"output_tokens":134,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":918,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZA1vpJuDq3Jucey1VAko","type":"assistant","uuid":"19a49ac7-98ea-4e4b-b8ea-80b898c51889","timestamp":"2026-03-18T05:46:13.130Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d3ad1366-bfc1-4830-9b0f-37e9a88aca1a","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"19a49ac7-98ea-4e4b-b8ea-80b898c51889","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01CrYrT5JKwKzQoSGjRRkjjy","toolUseID":"toolu_01CrYrT5JKwKzQoSGjRRkjjy","timestamp":"2026-03-18T05:46:13.149Z","uuid":"1f96640d-81b0-44fd-950b-85bfea095518","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d3ad1366-bfc1-4830-9b0f-37e9a88aca1a","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"19a49ac7-98ea-4e4b-b8ea-80b898c51889","isSidechain":false,"promptId":"91ccd3cf-29e3-4c49-926c-ff2fbce3f600","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CrYrT5JKwKzQoSGjRRkjjy","type":"tool_result","content":"   100→\troot         Level\n   101→\tnodeProvider NodeProvider\n   102→}\n   103→\n   104→// Init initializes the metric store from configuration and starts background workers.\n   105→//\n   106→// This function must be called exactly once before any other metricstore operations.\n   107→// It performs the following initialization steps:\n   108→//  1. Validates and decodes the metric store configuration\n   109→//  2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n   110→//  3. Loads metric configurations from all registered clusters\n   111→//  4. Restores checkpoints within the retention window\n   112→//  5. Starts background workers for retention, checkpointing, archiving, and monitoring\n   113→//  6. Optionally subscribes to NATS for real-time metric ingestion\n   114→//\n   115→// Parameters:\n   116→//   - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n   117→//   - wg: WaitGroup that will be incremented for each background goroutine started\n   118→//\n   119→// The function will call cclog.Fatal on critical errors during initialization.\n   120→// Use Shutdown() to cleanly stop all background workers started by Init().\n   121→//\n   122→// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n   123→// receiving termination signals to ensure checkpoint data is persisted.\n   124→func Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n   125→\tstartupTime := time.Now()\n   126→\n   127→\tif rawConfig != nil {\n   128→\t\tconfig.Validate(configSchema, rawConfig)\n   129→\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n   130→\t\tdec.DisallowUnknownFields()\n   131→\t\tif err := dec.Decode(&Keys); err != nil {\n   132→\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n   133→\t\t}\n   134→\t}\n   135→\n   136→\t// Set NumWorkers from config or use default\n   137→\tif Keys.NumWorkers <= 0 {\n   138→\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n   139→\t}\n   140→\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n   141→\n   142→\t// Pass the config.MetricStoreKeys\n   143→\tInitMetrics(metrics)\n   144→\n   145→\tms := GetMemoryStore()\n   146→\n   147→\td, err := time.ParseDuration(Keys.RetentionInMemory)\n   148→\tif err != nil {\n   149→\t\tcclog.Fatal(err)\n   150→\t}\n   151→\n   152→\trestoreFrom := startupTime.Add(-d)\n   153→\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n   154→\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n   155→\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n   156→\tif err != nil {\n   157→\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n   158→\t} else {\n   159→\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n   160→\t}\n   161→\n   162→\t// Try to use less memory by forcing a GC run here and then\n   163→\t// lowering the target percentage. The default of 100 means\n   164→\t// that only once the ratio of new allocations execeds the\n   165→\t// previously active heap, a GC is triggered.\n   166→\t// Forcing a GC here will set the \"previously active heap\"\n   167→\t// to a minumum.\n   168→\t// runtime.GC()\n   169→\n   170→\tctx, shutdown := context.WithCancel(context.Background())\n   171→\n   172→\tRetention(wg, ctx)\n   173→\tCheckpointing(wg, ctx)\n   174→\tCleanUp(wg, ctx)\n   175→\tWALStaging(wg, ctx)\n   176→\tMemoryUsageTracker(wg, ctx)\n   177→\n   178→\t// Note: Signal handling has been removed from this function.\n   179→\t// The caller is responsible for handling shutdown signals and calling\n   180→\t// the shutdown() function when appropriate.\n   181→\t// Store the shutdown function for later use by Shutdown()\n   182→\tshutdownFuncMu.Lock()\n   183→\tshutdownFunc = shutdown\n   184→\tshutdownFuncMu.Unlock()\n   185→\n   186→\tif Keys.Subscriptions != nil {\n   187→\t\terr = ReceiveNats(ms, Keys.NumWorkers, ctx)\n   188→\t\tif err != nil {\n   189→\t\t\tcclog.Fatal(err)"}]},"uuid":"62a6cc34-e58e-46f5-8126-c4f6def61d31","timestamp":"2026-03-18T05:46:13.148Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go","content":"\troot         Level\n\tnodeProvider NodeProvider\n}\n\n// Init initializes the metric store from configuration and starts background workers.\n//\n// This function must be called exactly once before any other metricstore operations.\n// It performs the following initialization steps:\n//  1. Validates and decodes the metric store configuration\n//  2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n//  3. Loads metric configurations from all registered clusters\n//  4. Restores checkpoints within the retention window\n//  5. Starts background workers for retention, checkpointing, archiving, and monitoring\n//  6. Optionally subscribes to NATS for real-time metric ingestion\n//\n// Parameters:\n//   - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n//   - wg: WaitGroup that will be incremented for each background goroutine started\n//\n// The function will call cclog.Fatal on critical errors during initialization.\n// Use Shutdown() to cleanly stop all background workers started by Init().\n//\n// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n// receiving termination signals to ensure checkpoint data is persisted.\nfunc Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n\tstartupTime := time.Now()\n\n\tif rawConfig != nil {\n\t\tconfig.Validate(configSchema, rawConfig)\n\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n\t\tdec.DisallowUnknownFields()\n\t\tif err := dec.Decode(&Keys); err != nil {\n\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n\t\t}\n\t}\n\n\t// Set NumWorkers from config or use default\n\tif Keys.NumWorkers <= 0 {\n\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n\t}\n\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n\n\t// Pass the config.MetricStoreKeys\n\tInitMetrics(metrics)\n\n\tms := GetMemoryStore()\n\n\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\tif err != nil {\n\t\tcclog.Fatal(err)\n\t}\n\n\trestoreFrom := startupTime.Add(-d)\n\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n\tif err != nil {\n\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n\t} else {\n\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n\t}\n\n\t// Try to use less memory by forcing a GC run here and then\n\t// lowering the target percentage. The default of 100 means\n\t// that only once the ratio of new allocations execeds the\n\t// previously active heap, a GC is triggered.\n\t// Forcing a GC here will set the \"previously active heap\"\n\t// to a minumum.\n\t// runtime.GC()\n\n\tctx, shutdown := context.WithCancel(context.Background())\n\n\tRetention(wg, ctx)\n\tCheckpointing(wg, ctx)\n\tCleanUp(wg, ctx)\n\tWALStaging(wg, ctx)\n\tMemoryUsageTracker(wg, ctx)\n\n\t// Note: Signal handling has been removed from this function.\n\t// The caller is responsible for handling shutdown signals and calling\n\t// the shutdown() function when appropriate.\n\t// Store the shutdown function for later use by Shutdown()\n\tshutdownFuncMu.Lock()\n\tshutdownFunc = shutdown\n\tshutdownFuncMu.Unlock()\n\n\tif Keys.Subscriptions != nil {\n\t\terr = ReceiveNats(ms, Keys.NumWorkers, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)","numLines":90,"startLine":100,"totalLines":803}},"sourceToolAssistantUUID":"19a49ac7-98ea-4e4b-b8ea-80b898c51889","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d3ad1366-bfc1-4830-9b0f-37e9a88aca1a","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"62a6cc34-e58e-46f5-8126-c4f6def61d31","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q1ZfyYrwYPpbx3DGwB6hip","type":"message","role":"assistant","content":[{"type":"text","text":"The `wg` parameter is available. Let me also quickly check `ReceiveNats` signature to confirm it takes `ctx`."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1529,"cache_read_input_tokens":20083,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1529},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZA1w2EWHmSb12Uqbg6wr","type":"assistant","uuid":"c5cfa838-69f5-422f-952b-e71b8924313b","timestamp":"2026-03-18T05:46:15.646Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d3ad1366-bfc1-4830-9b0f-37e9a88aca1a","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"c5cfa838-69f5-422f-952b-e71b8924313b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q1ZfyYrwYPpbx3DGwB6hip","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GiDf3EcGHCPGSj42LgMKxJ","name":"Grep","input":{"pattern":"func ReceiveNats","path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore","output_mode":"content"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1529,"cache_read_input_tokens":20083,"output_tokens":145,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1529,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZA1w2EWHmSb12Uqbg6wr","type":"assistant","uuid":"00154639-a0f5-4049-9fb9-e8d2207a4079","timestamp":"2026-03-18T05:46:16.641Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d3ad1366-bfc1-4830-9b0f-37e9a88aca1a","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"00154639-a0f5-4049-9fb9-e8d2207a4079","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01GiDf3EcGHCPGSj42LgMKxJ","toolUseID":"toolu_01GiDf3EcGHCPGSj42LgMKxJ","timestamp":"2026-03-18T05:46:16.666Z","uuid":"c354d7f1-df56-44e1-8b7d-bcfcd95ba74b","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d3ad1366-bfc1-4830-9b0f-37e9a88aca1a","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"00154639-a0f5-4049-9fb9-e8d2207a4079","isSidechain":false,"promptId":"91ccd3cf-29e3-4c49-926c-ff2fbce3f600","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GiDf3EcGHCPGSj42LgMKxJ","type":"tool_result","content":"pkg/metricstore/lineprotocol.go:45:func ReceiveNats(ms *MemoryStore,"}]},"uuid":"a885edb1-5276-43e6-a134-314c4fba2700","timestamp":"2026-03-18T05:46:16.665Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"pkg/metricstore/lineprotocol.go:45:func ReceiveNats(ms *MemoryStore,","numLines":1},"sourceToolAssistantUUID":"00154639-a0f5-4049-9fb9-e8d2207a4079","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d3ad1366-bfc1-4830-9b0f-37e9a88aca1a","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"a885edb1-5276-43e6-a134-314c4fba2700","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01MnFNQbTn7Cg2uhsKEmgLYU","type":"message","role":"assistant","content":[{"type":"text","text":"Good. Now apply the fix:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":186,"cache_read_input_tokens":21612,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":186},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZA1wHFe6p3Q7zwRthMJY","type":"assistant","uuid":"23b44f81-6fbc-4301-996e-7a326a68f379","timestamp":"2026-03-18T05:46:18.191Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d3ad1366-bfc1-4830-9b0f-37e9a88aca1a","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"23b44f81-6fbc-4301-996e-7a326a68f379","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01MnFNQbTn7Cg2uhsKEmgLYU","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FLFu1xZvFPXmJoDfv5qs11","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go","old_string":"\tif Keys.Subscriptions != nil {\n\t\terr = ReceiveNats(ms, Keys.NumWorkers, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t}","new_string":"\tif Keys.Subscriptions != nil {\n\t\twg.Go(func() {\n\t\t\tif err := ReceiveNats(ms, Keys.NumWorkers, ctx); err != nil {\n\t\t\t\tcclog.Fatal(err)\n\t\t\t}\n\t\t})\n\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":186,"cache_read_input_tokens":21612,"output_tokens":238,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":186,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZA1wHFe6p3Q7zwRthMJY","type":"assistant","uuid":"5dd5fd63-6567-4f2e-84f2-f9e8ee7f6b6b","timestamp":"2026-03-18T05:46:20.153Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d3ad1366-bfc1-4830-9b0f-37e9a88aca1a","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides an efficient in-memory time-series metric storage system\n// with support for hierarchical data organization, checkpointing, and archiving.\n//\n// The package organizes metrics in a tree structure (cluster → host → component) and\n// provides concurrent read/write access to metric data with configurable aggregation strategies.\n// Background goroutines handle periodic checkpointing (JSON or Avro format), archiving old data,\n// and enforcing retention policies.\n//\n// Key features:\n//   - In-memory metric storage with configurable retention\n//   - Hierarchical data organization (selectors)\n//   - Concurrent checkpoint/archive workers\n//   - Support for sum and average aggregation\n//   - NATS integration for metric ingestion\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"runtime\"\n\t\"runtime/debug\"\n\t\"slices\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// GlobalState holds the global state for the metric store with thread-safe access.\ntype GlobalState struct {\n\tmu                sync.RWMutex\n\tlastRetentionTime int64\n\tselectorsExcluded bool\n}\n\nvar (\n\tsingleton  sync.Once\n\tmsInstance *MemoryStore\n\t// shutdownFunc stores the context cancellation function created in Init\n\t// and is called during Shutdown to cancel all background goroutines\n\tshutdownFunc   context.CancelFunc\n\tshutdownFuncMu sync.Mutex // Protects shutdownFunc from concurrent access\n\t// Create a global instance\n\tstate = &GlobalState{}\n)\n\n// NodeProvider provides information about nodes currently in use by running jobs.\n//\n// This interface allows metricstore to query job information without directly\n// depending on the repository package, breaking the import cycle.\n//\n// Implementations should return nodes that are actively processing jobs started\n// before the given timestamp. These nodes will be excluded from retention-based\n// garbage collection to prevent data loss for jobs that are still running or\n// recently completed.\ntype NodeProvider interface {\n\t// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n\t// that are currently in use by jobs that started before the given timestamp.\n\t//\n\t// Parameters:\n\t//   - ts: Unix timestamp threshold - returns nodes with jobs started before this time\n\t//\n\t// Returns:\n\t//   - Map of cluster names to lists of node hostnames that should be excluded from garbage collection\n\t//   - Error if the query fails\n\tGetUsedNodes(ts int64) (map[string][]string, error)\n}\n\n// Metric represents a single metric data point to be written to the store.\ntype Metric struct {\n\tName  string\n\tValue schema.Float\n\t// MetricConfig contains frequency and aggregation settings for this metric.\n\t// If Frequency is 0, configuration will be looked up from MemoryStore.Metrics during Write().\n\tMetricConfig MetricConfig\n}\n\n// MemoryStore is the main in-memory time-series metric storage implementation.\n//\n// It organizes metrics in a hierarchical tree structure where each level represents\n// a component of the system hierarchy (e.g., cluster → host → CPU). Each level can\n// store multiple metrics as time-series buffers.\n//\n// The store is initialized as a singleton via InitMetrics() and accessed via GetMemoryStore().\n// All public methods are safe for concurrent use.\ntype MemoryStore struct {\n\tMetrics      map[string]MetricConfig\n\troot         Level\n\tnodeProvider NodeProvider\n}\n\n// Init initializes the metric store from configuration and starts background workers.\n//\n// This function must be called exactly once before any other metricstore operations.\n// It performs the following initialization steps:\n//  1. Validates and decodes the metric store configuration\n//  2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n//  3. Loads metric configurations from all registered clusters\n//  4. Restores checkpoints within the retention window\n//  5. Starts background workers for retention, checkpointing, archiving, and monitoring\n//  6. Optionally subscribes to NATS for real-time metric ingestion\n//\n// Parameters:\n//   - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n//   - wg: WaitGroup that will be incremented for each background goroutine started\n//\n// The function will call cclog.Fatal on critical errors during initialization.\n// Use Shutdown() to cleanly stop all background workers started by Init().\n//\n// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n// receiving termination signals to ensure checkpoint data is persisted.\nfunc Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n\tstartupTime := time.Now()\n\n\tif rawConfig != nil {\n\t\tconfig.Validate(configSchema, rawConfig)\n\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n\t\tdec.DisallowUnknownFields()\n\t\tif err := dec.Decode(&Keys); err != nil {\n\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n\t\t}\n\t}\n\n\t// Set NumWorkers from config or use default\n\tif Keys.NumWorkers <= 0 {\n\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n\t}\n\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n\n\t// Pass the config.MetricStoreKeys\n\tInitMetrics(metrics)\n\n\tms := GetMemoryStore()\n\n\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\tif err != nil {\n\t\tcclog.Fatal(err)\n\t}\n\n\trestoreFrom := startupTime.Add(-d)\n\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n\tif err != nil {\n\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n\t} else {\n\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n\t}\n\n\t// Try to use less memory by forcing a GC run here and then\n\t// lowering the target percentage. The default of 100 means\n\t// that only once the ratio of new allocations execeds the\n\t// previously active heap, a GC is triggered.\n\t// Forcing a GC here will set the \"previously active heap\"\n\t// to a minumum.\n\t// runtime.GC()\n\n\tctx, shutdown := context.WithCancel(context.Background())\n\n\tRetention(wg, ctx)\n\tCheckpointing(wg, ctx)\n\tCleanUp(wg, ctx)\n\tWALStaging(wg, ctx)\n\tMemoryUsageTracker(wg, ctx)\n\n\t// Note: Signal handling has been removed from this function.\n\t// The caller is responsible for handling shutdown signals and calling\n\t// the shutdown() function when appropriate.\n\t// Store the shutdown function for later use by Shutdown()\n\tshutdownFuncMu.Lock()\n\tshutdownFunc = shutdown\n\tshutdownFuncMu.Unlock()\n\n\tif Keys.Subscriptions != nil {\n\t\terr = ReceiveNats(ms, Keys.NumWorkers, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t}\n}\n\n// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n//\n// This function must be called before GetMemoryStore() and can only be called once due to\n// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n//\n// Parameters:\n//   - metrics: Map of metric names to their configurations (frequency and aggregation strategy)\n//\n// Panics if any metric has Frequency == 0, which indicates an invalid configuration.\n//\n// After this call, the global msInstance is ready for use via GetMemoryStore().\nfunc InitMetrics(metrics map[string]MetricConfig) {\n\tsingleton.Do(func() {\n\t\toffset := 0\n\t\tfor key, cfg := range metrics {\n\t\t\tif cfg.Frequency == 0 {\n\t\t\t\tpanic(\"[METRICSTORE]> invalid frequency\")\n\t\t\t}\n\n\t\t\tmetrics[key] = MetricConfig{\n\t\t\t\tFrequency:   cfg.Frequency,\n\t\t\t\tAggregation: cfg.Aggregation,\n\t\t\t\toffset:      offset,\n\t\t\t}\n\t\t\toffset += 1\n\t\t}\n\n\t\tmsInstance = &MemoryStore{\n\t\t\troot: Level{\n\t\t\t\tmetrics:  make([]*buffer, len(metrics)),\n\t\t\t\tchildren: make(map[string]*Level),\n\t\t\t},\n\t\t\tMetrics: metrics,\n\t\t}\n\t})\n}\n\n// GetMemoryStore returns the singleton MemoryStore instance.\n//\n// Returns the initialized MemoryStore singleton. Calls cclog.Fatal if InitMetrics() was not called first.\n//\n// This function is safe for concurrent use after initialization.\nfunc GetMemoryStore() *MemoryStore {\n\tif msInstance == nil {\n\t\tcclog.Warnf(\"[METRICSTORE]> MemoryStore not initialized!\")\n\t}\n\n\treturn msInstance\n}\n\nfunc (ms *MemoryStore) GetMetricFrequency(metricName string) (int64, error) {\n\tif metric, ok := ms.Metrics[metricName]; ok {\n\t\treturn metric.Frequency, nil\n\t}\n\treturn 0, fmt.Errorf(\"[METRICSTORE]> metric %s not found\", metricName)\n}\n\n// SetNodeProvider sets the NodeProvider implementation for the MemoryStore.\n// This must be called during initialization to provide job state information\n// for selective buffer retention during Free operations.\n// If not set, the Free function will fall back to freeing all buffers.\nfunc (ms *MemoryStore) SetNodeProvider(provider NodeProvider) {\n\tms.nodeProvider = provider\n}\n\n// Shutdown performs a graceful shutdown of the metric store.\n//\n// This function cancels all background goroutines started by Init() and writes\n// a final checkpoint to disk before returning. It should be called when the\n// application receives a termination signal.\n//\n// The function will:\n//  1. Cancel the context to stop all background workers\n//  2. Close the WAL messages channel if using WAL format\n//  3. Write a final checkpoint to preserve in-memory data\n//  4. Log any errors encountered during shutdown\n//\n// Note: This function blocks until the final checkpoint is written.\nfunc Shutdown() {\n\tshutdownFuncMu.Lock()\n\tdefer shutdownFuncMu.Unlock()\n\tif shutdownFunc != nil {\n\t\tshutdownFunc()\n\t}\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tfor _, ch := range walShardChs {\n\t\t\tclose(ch)\n\t\t}\n\t}\n\n\tcclog.Infof(\"[METRICSTORE]> Writing to '%s'...\\n\", Keys.Checkpoints.RootDir)\n\tvar files int\n\tvar err error\n\n\tms := GetMemoryStore()\n\n\tlastCheckpointMu.Lock()\n\tfrom := lastCheckpoint\n\tlastCheckpointMu.Unlock()\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tvar hostDirs []string\n\t\tfiles, hostDirs, err = ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t\tif err == nil {\n\t\t\tRotateWALFilesAfterShutdown(hostDirs)\n\t\t}\n\t} else {\n\t\tfiles, err = ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t}\n\n\tif err != nil {\n\t\tcclog.Errorf(\"[METRICSTORE]> Writing checkpoint failed: %s\\n\", err.Error())\n\t}\n\tcclog.Infof(\"[METRICSTORE]> Done! (%d files written)\\n\", files)\n}\n\n// Retention starts a background goroutine that periodically frees old metric data.\n//\n// This worker runs at half the retention interval and calls Free() to remove buffers\n// older than the configured retention time. It respects the NodeProvider to preserve\n// data for nodes with active jobs.\n//\n// Parameters:\n//   - wg: WaitGroup to signal completion when context is cancelled\n//   - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc Retention(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\ttickInterval := d / 2\n\t\tif tickInterval <= 0 {\n\t\t\treturn\n\t\t}\n\t\tticker := time.NewTicker(tickInterval)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tstate.mu.Lock()\n\n\t\t\t\tt := time.Now().Add(-d)\n\n\t\t\t\tstate.lastRetentionTime = t.Unix()\n\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start freeing buffers (older than %s)...\\n\", t.Format(time.RFC3339))\n\n\t\t\t\tfreed, err := Free(ms, t)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> freeing up buffers failed: %s\\n\", err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d buffers freed\\n\", freed)\n\t\t\t\t}\n\n\t\t\t\tstate.mu.Unlock()\n\n\t\t\t\t// Clean up the buffer pool\n\t\t\t\tbufferPool.Clean(state.lastRetentionTime)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// MemoryUsageTracker starts a background goroutine that monitors memory usage.\n//\n// This worker checks actual process memory usage (via runtime.MemStats) periodically\n// and force-frees buffers if memory exceeds the configured cap. It uses FreeOSMemory()\n// to return memory to the OS after freeing buffers, avoiding aggressive GC that causes\n// performance issues.\n//\n// The tracker logs both actual memory usage (heap allocated) and metric data size for\n// visibility into memory overhead from Go runtime structures and allocations.\n//\n// Parameters:\n//   - wg: WaitGroup to signal completion when context is cancelled\n//   - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n\t\tfastInterval := 30 * time.Second\n\n\t\tif normalInterval <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(normalInterval)\n\t\tdefer ticker.Stop()\n\t\tcurrentInterval := normalInterval\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tvar mem runtime.MemStats\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n\t\t\t\tmetricDataGB := ms.SizeInGB()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n\n\t\t\t\tfreedExcluded := 0\n\t\t\t\tfreedEmergency := 0\n\t\t\t\tvar err error\n\n\t\t\t\tstate.mu.RLock()\n\t\t\t\tlastRetention := state.lastRetentionTime\n\t\t\t\tselectorsExcluded := state.selectorsExcluded\n\t\t\t\tstate.mu.RUnlock()\n\n\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n\t\t\t\t\t}\n\n\t\t\t\t\tif freedExcluded > 0 {\n\t\t\t\t\t\tdebug.FreeOSMemory()\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n\n\t\t\t\t\t// Use progressive time-based Free with increasing threshold\n\t\t\t\t\t// instead of ForceFree loop — fewer tree traversals, more effective\n\t\t\t\t\td, parseErr := time.ParseDuration(Keys.RetentionInMemory)\n\t\t\t\t\tif parseErr != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> cannot parse retention duration: %s\", parseErr)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tthresholds := []float64{0.75, 0.5, 0.25}\n\t\t\t\t\t\tfor _, fraction := range thresholds {\n\t\t\t\t\t\t\tthreshold := time.Now().Add(-time.Duration(float64(d) * fraction))\n\t\t\t\t\t\t\tfreed, freeErr := ms.Free(nil, threshold.Unix())\n\t\t\t\t\t\t\tif freeErr != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s\", fraction*100, freeErr)\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tfreedEmergency += freed\n\n\t\t\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\t\t\truntime.GC()\n\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n\t\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\tdebug.FreeOSMemory()\n\n\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after emergency frees (%d buffers), memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\t// Adaptive ticker: check more frequently when memory is high\n\t\t\t\tmemoryRatio := actualMemoryGB / float64(Keys.MemoryCap)\n\t\t\t\tif memoryRatio > 0.8 && currentInterval != fastInterval {\n\t\t\t\t\tticker.Reset(fastInterval)\n\t\t\t\t\tcurrentInterval = fastInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)\", memoryRatio*100)\n\t\t\t\t} else if memoryRatio <= 0.8 && currentInterval != normalInterval {\n\t\t\t\t\tticker.Reset(normalInterval)\n\t\t\t\t\tcurrentInterval = normalInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval\", memoryRatio*100)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\n// Free removes metric data older than the given time while preserving data for active nodes.\n//\n// This function implements intelligent retention by consulting the NodeProvider (if configured)\n// to determine which nodes are currently in use by running jobs. Data for these nodes is\n// preserved even if older than the retention time.\n//\n// Parameters:\n//   - ms: The MemoryStore instance\n//   - t: Time threshold - buffers with data older than this will be freed\n//\n// Returns:\n//   - Number of buffers freed\n//   - Error if NodeProvider query fails\n//\n// Behavior:\n//   - If no NodeProvider is set: frees all buffers older than t\n//   - If NodeProvider returns empty map: frees all buffers older than t\n//   - Otherwise: preserves buffers for nodes returned by GetUsedNodes(), frees others\nfunc Free(ms *MemoryStore, t time.Time) (int, error) {\n\t// If no NodeProvider is configured, free all buffers older than t\n\tif ms.nodeProvider == nil {\n\t\treturn ms.Free(nil, t.Unix())\n\t}\n\n\texcludeSelectors, err := ms.nodeProvider.GetUsedNodes(t.Unix())\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\tswitch lenMap := len(excludeSelectors); lenMap {\n\n\t// If the length of the map returned by GetUsedNodes() is 0,\n\t// then use default Free method with nil selector\n\tcase 0:\n\t\tstate.selectorsExcluded = false\n\t\treturn ms.Free(nil, t.Unix())\n\n\t// Else formulate selectors, exclude those from the map\n\t// and free the rest of the selectors\n\tdefault:\n\t\tstate.selectorsExcluded = true\n\t\tselectors := GetSelectors(ms, excludeSelectors)\n\t\treturn FreeSelected(ms, selectors, t)\n\t}\n}\n\n// FreeSelected frees buffers for specific selectors while preserving others.\n//\n// This function is used when we want to retain some specific nodes beyond the retention time.\n// It iterates through the provided selectors and frees their associated buffers.\n//\n// Parameters:\n//   - ms: The MemoryStore instance\n//   - selectors: List of selector paths to free (e.g., [[\"cluster1\", \"node1\"], [\"cluster2\", \"node2\"]])\n//   - t: Time threshold for freeing buffers\n//\n// Returns the total number of buffers freed and any error encountered.\nfunc FreeSelected(ms *MemoryStore, selectors [][]string, t time.Time) (int, error) {\n\tfreed := 0\n\n\tfor _, selector := range selectors {\n\n\t\tfreedBuffers, err := ms.Free(selector, t.Unix())\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"error while freeing selected buffers: %#v\", err)\n\t\t}\n\t\tfreed += freedBuffers\n\n\t}\n\n\treturn freed, nil\n}\n\n// GetSelectors returns all selectors at depth 2 (cluster/node level) that are NOT in the exclusion map.\n//\n// This function generates a list of selectors whose buffers should be freed by excluding\n// selectors that correspond to nodes currently in use by running jobs.\n//\n// Parameters:\n//   - ms: The MemoryStore instance\n//   - excludeSelectors: Map of cluster names to node hostnames that should NOT be freed\n//\n// Returns a list of selectors ([]string paths) that can be safely freed.\n//\n// Example:\n//\n//\tIf the tree has paths [\"emmy\", \"node001\"] and [\"emmy\", \"node002\"],\n//\tand excludeSelectors contains {\"emmy\": [\"node001\"]},\n//\tthen only [[\"emmy\", \"node002\"]] is returned.\nfunc GetSelectors(ms *MemoryStore, excludeSelectors map[string][]string) [][]string {\n\tallSelectors := ms.GetPaths(2)\n\n\tfilteredSelectors := make([][]string, 0, len(allSelectors))\n\n\tfor _, path := range allSelectors {\n\t\tif len(path) < 2 {\n\t\t\tcontinue\n\t\t}\n\n\t\tkey := path[0]   // The \"Key\" (Level 1)\n\t\tvalue := path[1] // The \"Value\" (Level 2)\n\n\t\texclude := false\n\n\t\t// Check if the key exists in our exclusion map\n\t\tif excludedValues, exists := excludeSelectors[key]; exists {\n\t\t\t// The key exists, now check if the specific value is in the exclusion list\n\t\t\tif slices.Contains(excludedValues, value) {\n\t\t\t\texclude = true\n\t\t\t}\n\t\t}\n\n\t\tif !exclude {\n\t\t\tfilteredSelectors = append(filteredSelectors, path)\n\t\t}\n\t}\n\n\treturn filteredSelectors\n}\n\n// GetPaths returns a list of lists (paths) to the specified depth.\nfunc (ms *MemoryStore) GetPaths(targetDepth int) [][]string {\n\tvar results [][]string\n\n\t// Start recursion. Initial path is empty.\n\t// We treat Root as depth 0.\n\tms.root.collectPaths(0, targetDepth, []string{}, &results)\n\n\treturn results\n}\n\n// Write all values in `metrics` to the level specified by `selector` for time `ts`.\n// Look at `findLevelOrCreate` for how selectors work.\nfunc (m *MemoryStore) Write(selector []string, ts int64, metrics []Metric) error {\n\tvar ok bool\n\tfor i, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tmetric.MetricConfig, ok = m.Metrics[metric.Name]\n\t\t\tif !ok {\n\t\t\t\tcclog.Debugf(\"[METRICSTORE]> Unknown metric '%s' in Write() - skipping\", metric.Name)\n\t\t\t\tmetric.MetricConfig.Frequency = 0\n\t\t\t}\n\t\t\tmetrics[i] = metric\n\t\t}\n\t}\n\n\treturn m.WriteToLevel(&m.root, selector, ts, metrics)\n}\n\nfunc (m *MemoryStore) GetLevel(selector []string) *Level {\n\treturn m.root.findLevelOrCreate(selector, len(m.Metrics))\n}\n\n// WriteToLevel assumes that `minfo` in `metrics` is filled in\nfunc (m *MemoryStore) WriteToLevel(l *Level, selector []string, ts int64, metrics []Metric) error {\n\tl = l.findLevelOrCreate(selector, len(m.Metrics))\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tfor _, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tcontinue\n\t\t}\n\n\t\tb := l.metrics[metric.MetricConfig.offset]\n\t\tif b == nil {\n\t\t\t// First write to this metric and level\n\t\t\tb = newBuffer(ts, metric.MetricConfig.Frequency)\n\t\t\tl.metrics[metric.MetricConfig.offset] = b\n\t\t}\n\n\t\tnb, err := b.write(ts, metric.Value)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\t// Last write created a new buffer...\n\t\tif b != nb {\n\t\t\tl.metrics[metric.MetricConfig.offset] = nb\n\t\t}\n\t}\n\treturn nil\n}\n\n// Read returns all values for metric `metric` from `from` to `to` for the selected level(s).\n// If the level does not hold the metric itself, the data will be aggregated recursively from the children.\n// The second and third return value are the actual from/to for the data. Those can be different from\n// the range asked for if no data was available.\nfunc (m *MemoryStore) Read(selector util.Selector, metric string, from, to, resolution int64) ([]schema.Float, int64, int64, int64, error) {\n\tif from > to {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid time range\")\n\t}\n\n\tminfo, ok := m.Metrics[metric]\n\tif !ok {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> unknown metric: \" + metric)\n\t}\n\n\tn, data := 0, make([]schema.Float, (to-from)/minfo.Frequency+1)\n\n\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n\t\tcdata, cfrom, cto, err := b.read(from, to, data)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif n == 0 {\n\t\t\tfrom, to = cfrom, cto\n\t\t} else if from != cfrom || to != cto || len(data) != len(cdata) {\n\t\t\tmissingfront, missingback := int((from-cfrom)/minfo.Frequency), int((to-cto)/minfo.Frequency)\n\t\t\tif missingfront != 0 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tnewlen := len(cdata) - missingback\n\t\t\tif newlen < 1 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\t\t\tcdata = cdata[0:newlen]\n\t\t\tif len(cdata) != len(data) {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tfrom, to = cfrom, cto\n\t\t}\n\n\t\tdata = cdata\n\t\tn += 1\n\t\treturn nil\n\t})\n\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t} else if n == 0 {\n\t\treturn nil, 0, 0, 0, ErrNoHostOrMetric\n\t} else if n > 1 {\n\t\tif minfo.Aggregation == AvgAggregation {\n\t\t\tnormalize := 1. / schema.Float(n)\n\t\t\tfor i := 0; i < len(data); i++ {\n\t\t\t\tdata[i] *= normalize\n\t\t\t}\n\t\t} else if minfo.Aggregation != SumAggregation {\n\t\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid aggregation\")\n\t\t}\n\t}\n\n\tdata, resolution, err = resampler.LargestTriangleThreeBucket(data, minfo.Frequency, resolution)\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t}\n\n\treturn data, from, to, resolution, nil\n}\n\n// Free releases all buffers for the selected level and all its children that\n// contain only values older than `t`.\nfunc (m *MemoryStore) Free(selector []string, t int64) (int, error) {\n\treturn m.GetLevel(selector).free(t)\n}\n\n// ForceFree unconditionally removes the oldest buffer from each metric chain.\nfunc (m *MemoryStore) ForceFree() (int, error) {\n\treturn m.GetLevel(nil).forceFree()\n}\n\nfunc (m *MemoryStore) FreeAll() error {\n\tm.root.lock.Lock()\n\tdefer m.root.lock.Unlock()\n\n\tfor k := range m.root.children {\n\t\tdelete(m.root.children, k)\n\t}\n\n\treturn nil\n}\n\nfunc (m *MemoryStore) SizeInBytes() int64 {\n\treturn m.root.sizeInBytes()\n}\n\nfunc (m *MemoryStore) SizeInGB() float64 {\n\treturn float64(m.root.sizeInBytes()) / 1e9\n}\n\n// ListChildren , given a selector, returns a list of all children of the level\n// selected.\nfunc (m *MemoryStore) ListChildren(selector []string) []string {\n\tlvl := &m.root\n\tfor lvl != nil && len(selector) != 0 {\n\t\tlvl.lock.RLock()\n\t\tnext := lvl.children[selector[0]]\n\t\tlvl.lock.RUnlock()\n\t\tlvl = next\n\t\tselector = selector[1:]\n\t}\n\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\tlvl.lock.RLock()\n\tdefer lvl.lock.RUnlock()\n\n\tchildren := make([]string, 0, len(lvl.children))\n\tfor child := range lvl.children {\n\t\tchildren = append(children, child)\n\t}\n\n\treturn children\n}\n","structuredPatch":[{"oldStart":184,"oldLines":10,"newStart":184,"newLines":11,"lines":["   shutdownFuncMu.Unlock()"," ","   if Keys.Subscriptions != nil {","-    err = ReceiveNats(ms, Keys.NumWorkers, ctx)","-    if err != nil {","-      cclog.Fatal(err)","-    }","+    wg.Go(func() {","+      if err := ReceiveNats(ms, Keys.NumWorkers, ctx); err != nil {","+        cclog.Fatal(err)","+      }","+    })","   }"," }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"5dd5fd63-6567-4f2e-84f2-f9e8ee7f6b6b","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d3ad1366-bfc1-4830-9b0f-37e9a88aca1a","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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diff --git a/38/a235c86ceb/1/metadata.json b/38/a235c86ceb/1/metadata.json
new file mode 100644
index 00000000..b6e28be4
--- /dev/null
+++ b/38/a235c86ceb/1/metadata.json
@@ -0,0 +1,33 @@
+{
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+  "checkpoint_id": "38a235c86ceb",
+  "session_id": "d3ad1366-bfc1-4830-9b0f-37e9a88aca1a",
+  "strategy": "manual-commit",
+  "created_at": "2026-03-18T05:47:46.311224Z",
+  "branch": "hotfix",
+  "checkpoints_count": 1,
+  "files_touched": [
+    "pkg/metricstore/metricstore.go"
+  ],
+  "agent": "Claude Code",
+  "turn_id": "a81d34b620ea",
+  "token_usage": {
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+    "cache_creation_tokens": 14208,
+    "cache_read_tokens": 158650,
+    "output_tokens": 1159,
+    "api_call_count": 8
+  },
+  "session_metrics": {
+    "turn_count": 1
+  },
+  "initial_attribution": {
+    "calculated_at": "2026-03-18T05:47:46.291781Z",
+    "agent_lines": 5,
+    "human_added": 0,
+    "human_modified": 0,
+    "human_removed": 0,
+    "total_committed": 5,
+    "agent_percentage": 100
+  }
+}
diff --git a/38/a235c86ceb/metadata.json b/38/a235c86ceb/metadata.json
new file mode 100644
index 00000000..c53b2676
--- /dev/null
+++ b/38/a235c86ceb/metadata.json
@@ -0,0 +1,31 @@
+{
+  "cli_version": "0.5.0",
+  "checkpoint_id": "38a235c86ceb",
+  "strategy": "manual-commit",
+  "branch": "hotfix",
+  "checkpoints_count": 1,
+  "files_touched": [
+    "pkg/metricstore/metricstore.go"
+  ],
+  "sessions": [
+    {
+      "metadata": "/38/a235c86ceb/0/metadata.json",
+      "transcript": "/38/a235c86ceb/0/full.jsonl",
+      "content_hash": "/38/a235c86ceb/0/content_hash.txt",
+      "prompt": "/38/a235c86ceb/0/prompt.txt"
+    },
+    {
+      "metadata": "/38/a235c86ceb/1/metadata.json",
+      "transcript": "/38/a235c86ceb/1/full.jsonl",
+      "content_hash": "/38/a235c86ceb/1/content_hash.txt",
+      "prompt": ""
+    }
+  ],
+  "token_usage": {
+    "input_tokens": 32,
+    "cache_creation_tokens": 46983,
+    "cache_read_tokens": 1565819,
+    "output_tokens": 16033,
+    "api_call_count": 26
+  }
+}
diff --git a/3a/40b75edd68/0/content_hash.txt b/3a/40b75edd68/0/content_hash.txt
new file mode 100644
index 00000000..6ba08e5c
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diff --git a/3a/40b75edd68/0/full.jsonl b/3a/40b75edd68/0/full.jsonl
new file mode 100644
index 00000000..c914f41f
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+++ b/3a/40b75edd68/0/full.jsonl
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+{"parentUuid":"540f5f91-e180-4fb7-9c65-29e05e35a850","isSidechain":false,"promptId":"c2bc230a-67ed-4f5e-b42f-f832728effa2","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Plan: Add Health Check to NATS Node State Handler\n\n## Context\n\nThe NATS `processNodestateEvent` handler in `internal/api/nats.go` is missing the health check logic that the REST `updateNodeStates` handler in `internal/api/node.go` has. Currently, the NATS handler hardcodes `HealthState: schema.MonitoringStateFull` and leaves `HealthMetrics` empty, while the REST handler:\n\n1. Groups nodes by subcluster\n2. Fetches metric configurations per subcluster\n3. Runs health checks against the metric store\n4. Uses health check results per node (defaulting to `MonitoringStateFailed` if unavailable)\n\nThis means node state updates via NATS always report full health regardless of actual metric availability, producing inconsistent data compared to the REST path.\n\n## Changes\n\n### File: `internal/api/nats.go`\n\n**1. Add missing imports:**\n- `\"maps\"`\n- `\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"`\n- `\"github.com/ClusterCockpit/cc-backend/pkg/archive\"`\n- `\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"`\n\n**2. Rewrite `processNodestateEvent` (lines 382-425)** to match the REST handler logic:\n\n- After parsing the request, add the same health check flow from `updateNodeStates` (node.go lines 82-114):\n  - Build `map[subcluster][]hostname` using `archive.GetSubClusterByNode()`\n  - Build `metricNames` per subcluster using `archive.GetMetricConfigSubCluster()` + `metricListToNames()`\n  - Get health check repo via `metricdispatch.GetHealthCheckRepo(req.Cluster)`\n  - Run `healthRepo.HealthCheck()` per subcluster, merge results\n- When building `NodeStateDB`, default `HealthState` to `MonitoringStateFailed` (not `MonitoringStateFull`) and use health check results when available — identical to REST handler (node.go lines 120-143)\n\n### Reused existing functions (no new code needed):\n- `determineState()` — already shared (`internal/api/node.go:38`)\n- `metricListToNames()` — already shared (`internal/api/node.go:29`)\n- `archive.GetSubClusterByNode()` — from `pkg/archive`\n- `archive.GetMetricConfigSubCluster()` — from `pkg/archive`\n- `metricdispatch.GetHealthCheckRepo()` — from `internal/metricdispatch`\n- `repo.BatchUpdateNodeStates()` — already used\n\n## Verification\n\n1. `go build ./...` — ensure it compiles\n2. `go test ./internal/api/...` — run existing NATS tests\n3. Review that `TestNatsHandleNodeState` and `TestNatsHandleNodeStateEdgeCases` still pass (they don't assert on HealthState values, so should be fine)\n4. Manual comparison: the node-building loop in NATS should now be identical to REST (node.go lines 119-143)\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3.jsonl"},"uuid":"6b855910-ce88-4a78-83b9-0468e6707024","timestamp":"2026-03-16T11:01:41.156Z","planContent":"# Plan: Add Health Check to NATS Node State Handler\n\n## Context\n\nThe NATS `processNodestateEvent` handler in `internal/api/nats.go` is missing the health check logic that the REST `updateNodeStates` handler in `internal/api/node.go` has. Currently, the NATS handler hardcodes `HealthState: schema.MonitoringStateFull` and leaves `HealthMetrics` empty, while the REST handler:\n\n1. Groups nodes by subcluster\n2. Fetches metric configurations per subcluster\n3. Runs health checks against the metric store\n4. Uses health check results per node (defaulting to `MonitoringStateFailed` if unavailable)\n\nThis means node state updates via NATS always report full health regardless of actual metric availability, producing inconsistent data compared to the REST path.\n\n## Changes\n\n### File: `internal/api/nats.go`\n\n**1. Add missing imports:**\n- `\"maps\"`\n- `\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"`\n- `\"github.com/ClusterCockpit/cc-backend/pkg/archive\"`\n- `\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"`\n\n**2. 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Review that `TestNatsHandleNodeState` and `TestNatsHandleNodeStateEdgeCases` still pass (they don't assert on HealthState values, so should be fine)\n4. Manual comparison: the node-building loop in NATS should now be identical to REST (node.go lines 119-143)\n","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
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This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"database/sql\"\n    10→\t\"encoding/json\"\n    11→\t\"strings\"\n    12→\t\"sync\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n    21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n    23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    24→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n    25→)\n    26→\n    27→// natsMessage wraps a raw NATS message with its subject for channel-based processing.\n    28→type natsMessage struct {\n    29→\tsubject string\n    30→\tdata    []byte\n    31→}\n    32→\n    33→// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n    34→// It mirrors the functionality of the REST API but uses NATS messaging with\n    35→// InfluxDB line protocol as the message format.\n    36→//\n    37→// # Message Format\n    38→//\n    39→// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n    40→// with the following structure:\n    41→//\n    42→//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n    43→//\n    44→// # Job Events\n    45→//\n    46→// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n    47→//\n    48→//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n    49→//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n    50→//\n    51→// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n    52→//\n    53→// Example job start message:\n    54→//\n    55→//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n    56→//\n    57→// # Node State Events\n    58→//\n    59→// Node state updates use the \"nodestate\" measurement with cluster information:\n    60→//\n    61→//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n    62→//\n    63→// The JSON payload follows the UpdateNodeStatesRequest structure.\n    64→//\n    65→// Example node state message:\n    66→//\n    67→//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\n    68→type NatsAPI struct {\n    69→\tJobRepository *repository.JobRepository\n    70→\t// RepositoryMutex protects job creation operations from race conditions\n    71→\t// when checking for duplicate jobs during startJob calls.\n    72→\tRepositoryMutex sync.Mutex\n    73→\t// jobCh receives job event messages for processing by worker goroutines.\n    74→\tjobCh chan natsMessage\n    75→\t// nodeCh receives node state messages for processing by worker goroutines.\n    76→\tnodeCh chan natsMessage\n    77→}\n    78→\n    79→// NewNatsAPI creates a new NatsAPI instance with channel-based worker pools.\n    80→// Concurrency is configured via NATSConfig (defaults: JobConcurrency=8, NodeConcurrency=2).\n    81→func NewNatsAPI() *NatsAPI {\n    82→\tjobConc := 8\n    83→\tnodeConc := 2\n    84→\n    85→\tif s := config.Keys.APISubjects; s != nil {\n    86→\t\tif s.JobConcurrency > 0 {\n    87→\t\t\tjobConc = s.JobConcurrency\n    88→\t\t}\n    89→\t\tif s.NodeConcurrency > 0 {\n    90→\t\t\tnodeConc = s.NodeConcurrency\n    91→\t\t}\n    92→\t}\n    93→\n    94→\tapi := &NatsAPI{\n    95→\t\tJobRepository: repository.GetJobRepository(),\n    96→\t\tjobCh:         make(chan natsMessage, jobConc),\n    97→\t\tnodeCh:        make(chan natsMessage, nodeConc),\n    98→\t}\n    99→\n   100→\t// Start worker goroutines\n   101→\tfor range jobConc {\n   102→\t\tgo api.jobWorker()\n   103→\t}\n   104→\tfor range nodeConc {\n   105→\t\tgo api.nodeWorker()\n   106→\t}\n   107→\n   108→\treturn api\n   109→}\n   110→\n   111→// jobWorker processes job event messages from the job channel.\n   112→func (api *NatsAPI) jobWorker() {\n   113→\tfor msg := range api.jobCh {\n   114→\t\tapi.handleJobEvent(msg.subject, msg.data)\n   115→\t}\n   116→}\n   117→\n   118→// nodeWorker processes node state messages from the node channel.\n   119→func (api *NatsAPI) nodeWorker() {\n   120→\tfor msg := range api.nodeCh {\n   121→\t\tapi.handleNodeState(msg.subject, msg.data)\n   122→\t}\n   123→}\n   124→\n   125→// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n   126→// Messages are delivered to buffered channels and processed by worker goroutines.\n   127→// Returns an error if the NATS client is not available or subscription fails.\n   128→func (api *NatsAPI) StartSubscriptions() error {\n   129→\tclient := nats.GetClient()\n   130→\tif client == nil {\n   131→\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n   132→\t\treturn nil\n   133→\t}\n   134→\n   135→\tif config.Keys.APISubjects != nil {\n   136→\t\ts := config.Keys.APISubjects\n   137→\n   138→\t\tif err := client.Subscribe(s.SubjectJobEvent, func(subject string, data []byte) {\n   139→\t\t\tapi.jobCh <- natsMessage{subject: subject, data: data}\n   140→\t\t}); err != nil {\n   141→\t\t\treturn err\n   142→\t\t}\n   143→\n   144→\t\tif err := client.Subscribe(s.SubjectNodeState, func(subject string, data []byte) {\n   145→\t\t\tapi.nodeCh <- natsMessage{subject: subject, data: data}\n   146→\t\t}); err != nil {\n   147→\t\t\treturn err\n   148→\t\t}\n   149→\n   150→\t\tcclog.Info(\"NATS API subscriptions started\")\n   151→\t}\n   152→\treturn nil\n   153→}\n   154→\n   155→// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n   156→// Validates that required tags and fields are present before processing.\n   157→func (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n   158→\tfunction, ok := msg.GetTag(\"function\")\n   159→\tif !ok {\n   160→\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n   161→\t\treturn\n   162→\t}\n   163→\n   164→\tswitch function {\n   165→\tcase \"start_job\":\n   166→\t\tv, ok := msg.GetEventValue()\n   167→\t\tif !ok {\n   168→\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n   169→\t\t\treturn\n   170→\t\t}\n   171→\t\tapi.handleStartJob(v)\n   172→\n   173→\tcase \"stop_job\":\n   174→\t\tv, ok := msg.GetEventValue()\n   175→\t\tif !ok {\n   176→\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n   177→\t\t\treturn\n   178→\t\t}\n   179→\t\tapi.handleStopJob(v)\n   180→\n   181→\tdefault:\n   182→\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n   183→\t}\n   184→}\n   185→\n   186→// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n   187→// The message must be in line protocol format with measurement=\"job\" and include:\n   188→//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n   189→//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n   190→//\n   191→// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\n   192→func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n   193→\tif len(data) == 0 {\n   194→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n   195→\t\treturn\n   196→\t}\n   197→\n   198→\td := influx.NewDecoderWithBytes(data)\n   199→\n   200→\tfor d.Next() {\n   201→\t\tm, err := receivers.DecodeInfluxMessage(d)\n   202→\t\tif err != nil {\n   203→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n   204→\t\t\treturn\n   205→\t\t}\n   206→\n   207→\t\tif !m.IsEvent() {\n   208→\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n   209→\t\t\tcontinue\n   210→\t\t}\n   211→\n   212→\t\tif m.Name() == \"job\" {\n   213→\t\t\tapi.processJobEvent(m)\n   214→\t\t} else {\n   215→\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n   216→\t\t}\n   217→\t}\n   218→}\n   219→\n   220→// handleStartJob processes job start messages received via NATS.\n   221→// The payload parameter contains JSON following the schema.Job structure.\n   222→// Jobs are validated, checked for duplicates, and inserted into the database.\n   223→func (api *NatsAPI) handleStartJob(payload string) {\n   224→\tif payload == \"\" {\n   225→\t\tcclog.Error(\"NATS start job: payload is empty\")\n   226→\t\treturn\n   227→\t}\n   228→\treq := schema.Job{\n   229→\t\tShared:           \"none\",\n   230→\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n   231→\t}\n   232→\n   233→\tdec := json.NewDecoder(strings.NewReader(payload))\n   234→\tdec.DisallowUnknownFields()\n   235→\tif err := dec.Decode(&req); err != nil {\n   236→\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n   237→\t\treturn\n   238→\t}\n   239→\n   240→\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n   241→\treq.State = schema.JobStateRunning\n   242→\n   243→\tif err := importer.SanityChecks(&req); err != nil {\n   244→\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n   245→\t\treturn\n   246→\t}\n   247→\n   248→\tvar unlockOnce sync.Once\n   249→\tapi.RepositoryMutex.Lock()\n   250→\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n   251→\n   252→\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n   253→\tif err != nil && err != sql.ErrNoRows {\n   254→\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n   255→\t\treturn\n   256→\t}\n   257→\tif err == nil {\n   258→\t\tfor _, job := range jobs {\n   259→\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n   260→\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n   261→\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n   262→\t\t\t\treturn\n   263→\t\t\t}\n   264→\t\t}\n   265→\t}\n   266→\n   267→\t// When tags are present, insert directly into the job table so that the\n   268→\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n   269→\tvar id int64\n   270→\tif len(req.Tags) > 0 {\n   271→\t\tid, err = api.JobRepository.StartDirect(&req)\n   272→\t} else {\n   273→\t\tid, err = api.JobRepository.Start(&req)\n   274→\t}\n   275→\tif err != nil {\n   276→\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n   277→\t\treturn\n   278→\t}\n   279→\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n   280→\n   281→\tfor _, tag := range req.Tags {\n   282→\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n   283→\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n   284→\t\t\treturn\n   285→\t\t}\n   286→\t}\n   287→\n   288→\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n   289→\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n   290→}\n   291→\n   292→// handleStopJob processes job stop messages received via NATS.\n   293→// The payload parameter contains JSON following the StopJobAPIRequest structure.\n   294→// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\n   295→func (api *NatsAPI) handleStopJob(payload string) {\n   296→\tif payload == \"\" {\n   297→\t\tcclog.Error(\"NATS stop job: payload is empty\")\n   298→\t\treturn\n   299→\t}\n   300→\tvar req StopJobAPIRequest\n   301→\n   302→\tdec := json.NewDecoder(strings.NewReader(payload))\n   303→\tdec.DisallowUnknownFields()\n   304→\tif err := dec.Decode(&req); err != nil {\n   305→\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n   306→\t\treturn\n   307→\t}\n   308→\n   309→\tif req.JobID == nil {\n   310→\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n   311→\t\treturn\n   312→\t}\n   313→\n   314→\tisCached := false\n   315→\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n   316→\tif err != nil {\n   317→\t\t// Not in cache, try main job table\n   318→\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n   319→\t\tif err != nil {\n   320→\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n   321→\t\t\treturn\n   322→\t\t}\n   323→\t} else {\n   324→\t\tisCached = true\n   325→\t}\n   326→\n   327→\tif job.State != schema.JobStateRunning {\n   328→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n   329→\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n   330→\t\treturn\n   331→\t}\n   332→\n   333→\tif job.StartTime > req.StopTime {\n   334→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n   335→\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n   336→\t\treturn\n   337→\t}\n   338→\n   339→\tif req.State != \"\" && !req.State.Valid() {\n   340→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n   341→\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n   342→\t\treturn\n   343→\t} else if req.State == \"\" {\n   344→\t\treq.State = schema.JobStateCompleted\n   345→\t}\n   346→\n   347→\tjob.Duration = int32(req.StopTime - job.StartTime)\n   348→\tjob.State = req.State\n   349→\tapi.JobRepository.Mutex.Lock()\n   350→\tdefer api.JobRepository.Mutex.Unlock()\n   351→\n   352→\t// If the job is still in job_cache, transfer it to the job table first\n   353→\tif isCached {\n   354→\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n   355→\t\tif err != nil {\n   356→\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n   357→\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n   358→\t\t\treturn\n   359→\t\t}\n   360→\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n   361→\t\tjob.ID = &newID\n   362→\t}\n   363→\n   364→\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n   365→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n   366→\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n   367→\t\treturn\n   368→\t}\n   369→\n   370→\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n   371→\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n   372→\n   373→\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n   374→\t\treturn\n   375→\t}\n   376→\n   377→\tarchiver.TriggerArchiving(job)\n   378→}\n   379→\n   380→// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n   381→// Updates node states in the repository for all nodes in the payload.\n   382→func (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n   383→\tv, ok := msg.GetEventValue()\n   384→\tif !ok {\n   385→\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n   386→\t\treturn\n   387→\t}\n   388→\n   389→\tvar req UpdateNodeStatesRequest\n   390→\n   391→\tdec := json.NewDecoder(strings.NewReader(v))\n   392→\tdec.DisallowUnknownFields()\n   393→\tif err := dec.Decode(&req); err != nil {\n   394→\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n   395→\t\treturn\n   396→\t}\n   397→\n   398→\trepo := repository.GetNodeRepository()\n   399→\trequestReceived := time.Now().Unix()\n   400→\n   401→\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n   402→\tfor _, node := range req.Nodes {\n   403→\t\tstate := determineState(node.States)\n   404→\t\tnodeState := schema.NodeStateDB{\n   405→\t\t\tTimeStamp:       requestReceived,\n   406→\t\t\tNodeState:       state,\n   407→\t\t\tCpusAllocated:   node.CpusAllocated,\n   408→\t\t\tMemoryAllocated: node.MemoryAllocated,\n   409→\t\t\tGpusAllocated:   node.GpusAllocated,\n   410→\t\t\tHealthState:     schema.MonitoringStateFull,\n   411→\t\t\tJobsRunning:     node.JobsRunning,\n   412→\t\t}\n   413→\t\tupdates = append(updates, repository.NodeStateUpdate{\n   414→\t\t\tHostname:  node.Hostname,\n   415→\t\t\tCluster:   req.Cluster,\n   416→\t\t\tNodeState: &nodeState,\n   417→\t\t})\n   418→\t}\n   419→\n   420→\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n   421→\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n   422→\t}\n   423→\n   424→\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n   425→}\n   426→\n   427→// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n   428→// The message must be in line protocol format with measurement=\"nodestate\" and include:\n   429→//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n   430→//\n   431→// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\n   432→func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n   433→\tif len(data) == 0 {\n   434→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n   435→\t\treturn\n   436→\t}\n   437→\n   438→\td := influx.NewDecoderWithBytes(data)\n   439→\n   440→\tfor d.Next() {\n   441→\t\tm, err := receivers.DecodeInfluxMessage(d)\n   442→\t\tif err != nil {\n   443→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n   444→\t\t\treturn\n   445→\t\t}\n   446→\n   447→\t\tif !m.IsEvent() {\n   448→\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n   449→\t\t\tcontinue\n   450→\t\t}\n   451→\n   452→\t\tif m.Name() == \"nodestate\" {\n   453→\t\t\tapi.processNodestateEvent(m)\n   454→\t\t} else {\n   455→\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n   456→\t\t}\n   457→\t}\n   458→}\n   459→"}]},"uuid":"ce8667dc-45aa-4a64-9769-1f862599d2b6","timestamp":"2026-03-16T11:01:44.983Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// natsMessage wraps a raw NATS message with its subject for channel-based processing.\ntype natsMessage struct {\n\tsubject string\n\tdata    []byte\n}\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobCh receives job event messages for processing by worker goroutines.\n\tjobCh chan natsMessage\n\t// nodeCh receives node state messages for processing by worker goroutines.\n\tnodeCh chan natsMessage\n}\n\n// NewNatsAPI creates a new NatsAPI instance with channel-based worker pools.\n// Concurrency is configured via NATSConfig (defaults: JobConcurrency=8, NodeConcurrency=2).\nfunc NewNatsAPI() *NatsAPI {\n\tjobConc := 8\n\tnodeConc := 2\n\n\tif s := config.Keys.APISubjects; s != nil {\n\t\tif s.JobConcurrency > 0 {\n\t\t\tjobConc = s.JobConcurrency\n\t\t}\n\t\tif s.NodeConcurrency > 0 {\n\t\t\tnodeConc = s.NodeConcurrency\n\t\t}\n\t}\n\n\tapi := &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobCh:         make(chan natsMessage, jobConc),\n\t\tnodeCh:        make(chan natsMessage, nodeConc),\n\t}\n\n\t// Start worker goroutines\n\tfor range jobConc {\n\t\tgo api.jobWorker()\n\t}\n\tfor range nodeConc {\n\t\tgo api.nodeWorker()\n\t}\n\n\treturn api\n}\n\n// jobWorker processes job event messages from the job channel.\nfunc (api *NatsAPI) jobWorker() {\n\tfor msg := range api.jobCh {\n\t\tapi.handleJobEvent(msg.subject, msg.data)\n\t}\n}\n\n// nodeWorker processes node state messages from the node channel.\nfunc (api *NatsAPI) nodeWorker() {\n\tfor msg := range api.nodeCh {\n\t\tapi.handleNodeState(msg.subject, msg.data)\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Messages are delivered to buffered channels and processed by worker goroutines.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, func(subject string, data []byte) {\n\t\t\tapi.jobCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, func(subject string, data []byte) {\n\t\t\tapi.nodeCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","numLines":459,"startLine":1,"totalLines":459}},"sourceToolAssistantUUID":"10710b01-4a18-4204-bda3-b7cc53b5f7c3","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
+{"parentUuid":"ce8667dc-45aa-4a64-9769-1f862599d2b6","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01VGMkLLJGkro7ZpB1Mrmrs3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QUKfqdJBfp65Z8vhVkHcQj","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4682,"cache_read_input_tokens":14320,"output_tokens":154,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":4682,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6eNU68SWVsJ1J6xD3EV","type":"assistant","uuid":"dd839d56-6524-4a23-a6b9-c57a0c2a7cc3","timestamp":"2026-03-16T11:01:45.146Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
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+{"parentUuid":"dd839d56-6524-4a23-a6b9-c57a0c2a7cc3","isSidechain":false,"promptId":"c2bc230a-67ed-4f5e-b42f-f832728effa2","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QUKfqdJBfp65Z8vhVkHcQj","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"fmt\"\n    10→\t\"maps\"\n    11→\t\"net/http\"\n    12→\t\"strings\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→)\n    22→\n    23→type UpdateNodeStatesRequest struct {\n    24→\tNodes   []schema.NodePayload `json:\"nodes\"`\n    25→\tCluster string               `json:\"cluster\" example:\"fritz\"`\n    26→}\n    27→\n    28→// metricListToNames converts a map of metric configurations to a list of metric names\n    29→func metricListToNames(metricList map[string]*schema.Metric) []string {\n    30→\tnames := make([]string, 0, len(metricList))\n    31→\tfor name := range metricList {\n    32→\t\tnames = append(names, name)\n    33→\t}\n    34→\treturn names\n    35→}\n    36→\n    37→// this routine assumes that only one of them exists per node\n    38→func determineState(states []string) schema.SchedulerState {\n    39→\tfor _, state := range states {\n    40→\t\tswitch strings.ToLower(state) {\n    41→\t\tcase \"allocated\":\n    42→\t\t\treturn schema.NodeStateAllocated\n    43→\t\tcase \"reserved\":\n    44→\t\t\treturn schema.NodeStateReserved\n    45→\t\tcase \"idle\":\n    46→\t\t\treturn schema.NodeStateIdle\n    47→\t\tcase \"down\":\n    48→\t\t\treturn schema.NodeStateDown\n    49→\t\tcase \"mixed\":\n    50→\t\t\treturn schema.NodeStateMixed\n    51→\t\t}\n    52→\t}\n    53→\n    54→\treturn schema.NodeStateUnknown\n    55→}\n    56→\n    57→// updateNodeStates godoc\n    58→// @summary     Deliver updated Slurm node states\n    59→// @tags Nodestates\n    60→// @description Returns a JSON-encoded list of users.\n    61→// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n    62→// @produce     json\n    63→// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n    64→// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n    65→// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n    66→// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n    67→// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n    68→// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n    69→// @security    ApiKeyAuth\n    70→// @router      /api/nodestats/ [post]\n    71→func (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n    72→\t// Parse request body\n    73→\treq := UpdateNodeStatesRequest{}\n    74→\tif err := decode(r.Body, &req); err != nil {\n    75→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n    76→\t\t\thttp.StatusBadRequest, rw)\n    77→\t\treturn\n    78→\t}\n    79→\trequestReceived := time.Now().Unix()\n    80→\trepo := repository.GetNodeRepository()\n    81→\n    82→\tm := make(map[string][]string)\n    83→\tmetricNames := make(map[string][]string)\n    84→\thealthResults := make(map[string]metricstore.HealthCheckResult)\n    85→\n    86→\tstartMs := time.Now()\n    87→\n    88→\t// Step 1: Build nodeList and metricList per subcluster\n    89→\tfor _, node := range req.Nodes {\n    90→\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n    91→\t\t\tm[sc] = append(m[sc], node.Hostname)\n    92→\t\t}\n    93→\t}\n    94→\n    95→\tfor sc := range m {\n    96→\t\tif sc != \"\" {\n    97→\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n    98→\t\t\tmetricNames[sc] = metricListToNames(metricList)\n    99→\t\t}\n   100→\t}\n   101→\n   102→\t// Step 2: Determine which metric store to query and perform health check\n   103→\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n   104→\tif err != nil {\n   105→\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n   106→\t} else {\n   107→\t\tfor sc, nl := range m {\n   108→\t\t\tif sc != \"\" {\n   109→\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n   110→\t\t\t\t\tmaps.Copy(healthResults, results)\n   111→\t\t\t\t}\n   112→\t\t\t}\n   113→\t\t}\n   114→\t}\n   115→\n   116→\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n   117→\tstartDB := time.Now()\n   118→\n   119→\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n   120→\tfor _, node := range req.Nodes {\n   121→\t\tstate := determineState(node.States)\n   122→\t\thealthState := schema.MonitoringStateFailed\n   123→\t\tvar healthMetrics string\n   124→\t\tif result, ok := healthResults[node.Hostname]; ok {\n   125→\t\t\thealthState = result.State\n   126→\t\t\thealthMetrics = result.HealthMetrics\n   127→\t\t}\n   128→\t\tnodeState := schema.NodeStateDB{\n   129→\t\t\tTimeStamp:       requestReceived,\n   130→\t\t\tNodeState:       state,\n   131→\t\t\tCpusAllocated:   node.CpusAllocated,\n   132→\t\t\tMemoryAllocated: node.MemoryAllocated,\n   133→\t\t\tGpusAllocated:   node.GpusAllocated,\n   134→\t\t\tHealthState:     healthState,\n   135→\t\t\tHealthMetrics:   healthMetrics,\n   136→\t\t\tJobsRunning:     node.JobsRunning,\n   137→\t\t}\n   138→\t\tupdates = append(updates, repository.NodeStateUpdate{\n   139→\t\t\tHostname:  node.Hostname,\n   140→\t\t\tCluster:   req.Cluster,\n   141→\t\t\tNodeState: &nodeState,\n   142→\t\t})\n   143→\t}\n   144→\n   145→\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n   146→\t\tcclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n   147→\t}\n   148→\n   149→\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n   150→}\n   151→"}]},"uuid":"788f5677-70c3-4f2a-8231-4d365eb0e476","timestamp":"2026-03-16T11:01:45.151Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"fmt\"\n\t\"maps\"\n\t\"net/http\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\ntype UpdateNodeStatesRequest struct {\n\tNodes   []schema.NodePayload `json:\"nodes\"`\n\tCluster string               `json:\"cluster\" example:\"fritz\"`\n}\n\n// metricListToNames converts a map of metric configurations to a list of metric names\nfunc metricListToNames(metricList map[string]*schema.Metric) []string {\n\tnames := make([]string, 0, len(metricList))\n\tfor name := range metricList {\n\t\tnames = append(names, name)\n\t}\n\treturn names\n}\n\n// this routine assumes that only one of them exists per node\nfunc determineState(states []string) schema.SchedulerState {\n\tfor _, state := range states {\n\t\tswitch strings.ToLower(state) {\n\t\tcase \"allocated\":\n\t\t\treturn schema.NodeStateAllocated\n\t\tcase \"reserved\":\n\t\t\treturn schema.NodeStateReserved\n\t\tcase \"idle\":\n\t\t\treturn schema.NodeStateIdle\n\t\tcase \"down\":\n\t\t\treturn schema.NodeStateDown\n\t\tcase \"mixed\":\n\t\t\treturn schema.NodeStateMixed\n\t\t}\n\t}\n\n\treturn schema.NodeStateUnknown\n}\n\n// updateNodeStates godoc\n// @summary     Deliver updated Slurm node states\n// @tags Nodestates\n// @description Returns a JSON-encoded list of users.\n// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n// @produce     json\n// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/nodestats/ [post]\nfunc (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n\t// Parse request body\n\treq := UpdateNodeStatesRequest{}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n\t\t\thttp.StatusBadRequest, rw)\n\t\treturn\n\t}\n\trequestReceived := time.Now().Unix()\n\trepo := repository.GetNodeRepository()\n\n\tm := make(map[string][]string)\n\tmetricNames := make(map[string][]string)\n\thealthResults := make(map[string]metricstore.HealthCheckResult)\n\n\tstartMs := time.Now()\n\n\t// Step 1: Build nodeList and metricList per subcluster\n\tfor _, node := range req.Nodes {\n\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n\t\t\tm[sc] = append(m[sc], node.Hostname)\n\t\t}\n\t}\n\n\tfor sc := range m {\n\t\tif sc != \"\" {\n\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n\t\t\tmetricNames[sc] = metricListToNames(metricList)\n\t\t}\n\t}\n\n\t// Step 2: Determine which metric store to query and perform health check\n\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n\tif err != nil {\n\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n\t} else {\n\t\tfor sc, nl := range m {\n\t\t\tif sc != \"\" {\n\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n\t\t\t\t\tmaps.Copy(healthResults, results)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     healthState,\n\t\t\tHealthMetrics:   healthMetrics,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n}\n","numLines":151,"startLine":1,"totalLines":151}},"sourceToolAssistantUUID":"dd839d56-6524-4a23-a6b9-c57a0c2a7cc3","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// natsMessage wraps a raw NATS message with its subject for channel-based processing.\ntype natsMessage struct {\n\tsubject string\n\tdata    []byte\n}\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobCh receives job event messages for processing by worker goroutines.\n\tjobCh chan natsMessage\n\t// nodeCh receives node state messages for processing by worker goroutines.\n\tnodeCh chan natsMessage\n}\n\n// NewNatsAPI creates a new NatsAPI instance with channel-based worker pools.\n// Concurrency is configured via NATSConfig (defaults: JobConcurrency=8, NodeConcurrency=2).\nfunc NewNatsAPI() *NatsAPI {\n\tjobConc := 8\n\tnodeConc := 2\n\n\tif s := config.Keys.APISubjects; s != nil {\n\t\tif s.JobConcurrency > 0 {\n\t\t\tjobConc = s.JobConcurrency\n\t\t}\n\t\tif s.NodeConcurrency > 0 {\n\t\t\tnodeConc = s.NodeConcurrency\n\t\t}\n\t}\n\n\tapi := &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobCh:         make(chan natsMessage, jobConc),\n\t\tnodeCh:        make(chan natsMessage, nodeConc),\n\t}\n\n\t// Start worker goroutines\n\tfor range jobConc {\n\t\tgo api.jobWorker()\n\t}\n\tfor range nodeConc {\n\t\tgo api.nodeWorker()\n\t}\n\n\treturn api\n}\n\n// jobWorker processes job event messages from the job channel.\nfunc (api *NatsAPI) jobWorker() {\n\tfor msg := range api.jobCh {\n\t\tapi.handleJobEvent(msg.subject, msg.data)\n\t}\n}\n\n// nodeWorker processes node state messages from the node channel.\nfunc (api *NatsAPI) nodeWorker() {\n\tfor msg := range api.nodeCh {\n\t\tapi.handleNodeState(msg.subject, msg.data)\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Messages are delivered to buffered channels and processed by worker goroutines.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, func(subject string, data []byte) {\n\t\t\tapi.jobCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, func(subject string, data []byte) {\n\t\t\tapi.nodeCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":8,"oldLines":6,"newStart":8,"newLines":7,"lines":[" import (","   \"database/sql\"","   \"encoding/json\"","+  \"maps\"","   \"strings\"","   \"sync\"","   \"time\""]},{"oldStart":15,"oldLines":7,"newStart":16,"newLines":10,"lines":["   \"github.com/ClusterCockpit/cc-backend/internal/archiver\"","   \"github.com/ClusterCockpit/cc-backend/internal/config\"","   \"github.com/ClusterCockpit/cc-backend/internal/importer\"","+  \"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"","   \"github.com/ClusterCockpit/cc-backend/internal/repository\"","+  \"github.com/ClusterCockpit/cc-backend/pkg/archive\"","+  \"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"","   cclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"","   lp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"","   \"github.com/ClusterCockpit/cc-lib/v2/nats\""]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"2a28a8a4-17eb-43be-949b-50bc53eb997b","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
+{"parentUuid":"26984c46-f6e3-4cf1-9591-11c9bdeddda5","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01TXGBLG8fYy8CFp24xMdVgb","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WJ1FHQ7D85cfzjb8MN9bdA","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","old_string":"\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)","new_string":"\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\t// Build nodeList per subcluster for health check\n\tm := make(map[string][]string)\n\tmetricNames := make(map[string][]string)\n\thealthResults := make(map[string]metricstore.HealthCheckResult)\n\n\tfor _, node := range req.Nodes {\n\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n\t\t\tm[sc] = append(m[sc], node.Hostname)\n\t\t}\n\t}\n\n\tfor sc := range m {\n\t\tif sc != \"\" {\n\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n\t\t\tmetricNames[sc] = metricListToNames(metricList)\n\t\t}\n\t}\n\n\t// Perform health check against metric store\n\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n\tif err != nil {\n\t\tcclog.Warnf(\"NATS nodestate: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n\t} else {\n\t\tfor sc, nl := range m {\n\t\t\tif sc != \"\" {\n\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n\t\t\t\t\tmaps.Copy(healthResults, results)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     healthState,\n\t\t\tHealthMetrics:   healthMetrics,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":636,"cache_read_input_tokens":28128,"output_tokens":1186,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":636,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6ePV7vV5nNMj53eM7bz","type":"assistant","uuid":"52e6e038-207f-4ba4-bd98-7b54ad27dad1","timestamp":"2026-03-16T11:02:06.964Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
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+{"parentUuid":"52e6e038-207f-4ba4-bd98-7b54ad27dad1","isSidechain":false,"promptId":"c2bc230a-67ed-4f5e-b42f-f832728effa2","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WJ1FHQ7D85cfzjb8MN9bdA","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"148cb96d-32b6-4842-93a0-445ebea5e228","timestamp":"2026-03-16T11:02:06.973Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)","newString":"\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\t// Build nodeList per subcluster for health check\n\tm := make(map[string][]string)\n\tmetricNames := make(map[string][]string)\n\thealthResults := make(map[string]metricstore.HealthCheckResult)\n\n\tfor _, node := range req.Nodes {\n\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n\t\t\tm[sc] = append(m[sc], node.Hostname)\n\t\t}\n\t}\n\n\tfor sc := range m {\n\t\tif sc != \"\" {\n\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n\t\t\tmetricNames[sc] = metricListToNames(metricList)\n\t\t}\n\t}\n\n\t// Perform health check against metric store\n\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n\tif err != nil {\n\t\tcclog.Warnf(\"NATS nodestate: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n\t} else {\n\t\tfor sc, nl := range m {\n\t\t\tif sc != \"\" {\n\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n\t\t\t\t\tmaps.Copy(healthResults, results)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     healthState,\n\t\t\tHealthMetrics:   healthMetrics,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"maps\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// natsMessage wraps a raw NATS message with its subject for channel-based processing.\ntype natsMessage struct {\n\tsubject string\n\tdata    []byte\n}\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobCh receives job event messages for processing by worker goroutines.\n\tjobCh chan natsMessage\n\t// nodeCh receives node state messages for processing by worker goroutines.\n\tnodeCh chan natsMessage\n}\n\n// NewNatsAPI creates a new NatsAPI instance with channel-based worker pools.\n// Concurrency is configured via NATSConfig (defaults: JobConcurrency=8, NodeConcurrency=2).\nfunc NewNatsAPI() *NatsAPI {\n\tjobConc := 8\n\tnodeConc := 2\n\n\tif s := config.Keys.APISubjects; s != nil {\n\t\tif s.JobConcurrency > 0 {\n\t\t\tjobConc = s.JobConcurrency\n\t\t}\n\t\tif s.NodeConcurrency > 0 {\n\t\t\tnodeConc = s.NodeConcurrency\n\t\t}\n\t}\n\n\tapi := &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobCh:         make(chan natsMessage, jobConc),\n\t\tnodeCh:        make(chan natsMessage, nodeConc),\n\t}\n\n\t// Start worker goroutines\n\tfor range jobConc {\n\t\tgo api.jobWorker()\n\t}\n\tfor range nodeConc {\n\t\tgo api.nodeWorker()\n\t}\n\n\treturn api\n}\n\n// jobWorker processes job event messages from the job channel.\nfunc (api *NatsAPI) jobWorker() {\n\tfor msg := range api.jobCh {\n\t\tapi.handleJobEvent(msg.subject, msg.data)\n\t}\n}\n\n// nodeWorker processes node state messages from the node channel.\nfunc (api *NatsAPI) nodeWorker() {\n\tfor msg := range api.nodeCh {\n\t\tapi.handleNodeState(msg.subject, msg.data)\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Messages are delivered to buffered channels and processed by worker goroutines.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, func(subject string, data []byte) {\n\t\t\tapi.jobCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, func(subject string, data []byte) {\n\t\t\tapi.nodeCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":402,"oldLines":16,"newStart":402,"newLines":55,"lines":["   repo := repository.GetNodeRepository()","   requestReceived := time.Now().Unix()"," ","+  // Build nodeList per subcluster for health check","+  m := make(map[string][]string)","+  metricNames := make(map[string][]string)","+  healthResults := make(map[string]metricstore.HealthCheckResult)","+","+  for _, node := range req.Nodes {","+    if sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {","+      m[sc] = append(m[sc], node.Hostname)","+    }","+  }","+","+  for sc := range m {","+    if sc != \"\" {","+      metricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)","+      metricNames[sc] = metricListToNames(metricList)","+    }","+  }","+","+  // Perform health check against metric store","+  healthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)","+  if err != nil {","+    cclog.Warnf(\"NATS nodestate: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)","+  } else {","+    for sc, nl := range m {","+      if sc != \"\" {","+        if results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {","+          maps.Copy(healthResults, results)","+        }","+      }","+    }","+  }","+","   updates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))","   for _, node := range req.Nodes {","     state := determineState(node.States)","+    healthState := schema.MonitoringStateFailed","+    var healthMetrics string","+    if result, ok := healthResults[node.Hostname]; ok {","+      healthState = result.State","+      healthMetrics = result.HealthMetrics","+    }","     nodeState := schema.NodeStateDB{","       TimeStamp:       requestReceived,","       NodeState:       state,","       CpusAllocated:   node.CpusAllocated,","       MemoryAllocated: node.MemoryAllocated,","       GpusAllocated:   node.GpusAllocated,","-      HealthState:     schema.MonitoringStateFull,","+      HealthState:     healthState,","+      HealthMetrics:   healthMetrics,","       JobsRunning:     node.JobsRunning,","     }","     updates = append(updates, repository.NodeStateUpdate{"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"52e6e038-207f-4ba4-bd98-7b54ad27dad1","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
+{"parentUuid":"148cb96d-32b6-4842-93a0-445ebea5e228","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01VswofgkzWAXGHRC1UmtmG7","type":"message","role":"assistant","content":[{"type":"text","text":"The diagnostics show unused imports, likely because the LSP hasn't caught up yet. Let me verify by building."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1461,"cache_read_input_tokens":28764,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1461},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6eQMwbfPBfQmkHMRFYQ","type":"assistant","uuid":"2b7a66a7-e121-48dd-a76a-ccd5f95421e0","timestamp":"2026-03-16T11:02:12.813Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
+{"parentUuid":"2b7a66a7-e121-48dd-a76a-ccd5f95421e0","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01VswofgkzWAXGHRC1UmtmG7","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015YNmvZ7YHXH6yJiSgiXS4f","name":"Bash","input":{"command":"go build ./...","description":"Build to verify compilation","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1461,"cache_read_input_tokens":28764,"output_tokens":136,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1461,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6eQMwbfPBfQmkHMRFYQ","type":"assistant","uuid":"90a218ba-a6ff-49a7-ac77-67f489b3f8f2","timestamp":"2026-03-16T11:02:13.971Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
+{"parentUuid":"90a218ba-a6ff-49a7-ac77-67f489b3f8f2","isSidechain":false,"promptId":"c2bc230a-67ed-4f5e-b42f-f832728effa2","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015YNmvZ7YHXH6yJiSgiXS4f","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"uuid":"1ff03a21-9c46-45d9-a11e-519b364864d0","timestamp":"2026-03-16T11:02:19.116Z","toolUseResult":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"90a218ba-a6ff-49a7-ac77-67f489b3f8f2","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
+{"parentUuid":"1ff03a21-9c46-45d9-a11e-519b364864d0","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_019N4HHykFLnnRJZTkz1TVhx","type":"message","role":"assistant","content":[{"type":"text","text":"Build succeeds. Now let me run the NATS tests."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":135,"cache_read_input_tokens":30225,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":135},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6eRFhq29kqLzb1wzih2","type":"assistant","uuid":"9967b00a-86f5-4f48-9600-22b377252e22","timestamp":"2026-03-16T11:02:21.946Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
+{"parentUuid":"9967b00a-86f5-4f48-9600-22b377252e22","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_019N4HHykFLnnRJZTkz1TVhx","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Ri93GdxMDAJASoXPXA7YAe","name":"Bash","input":{"command":"go test ./internal/api/ -run TestNats -v 2>&1","description":"Run NATS-related tests","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":135,"cache_read_input_tokens":30225,"output_tokens":125,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":135,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6eRFhq29kqLzb1wzih2","type":"assistant","uuid":"5ce0bbf2-350a-4cdd-872a-e7b54bf3b3c3","timestamp":"2026-03-16T11:02:22.822Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
+{"parentUuid":"5ce0bbf2-350a-4cdd-872a-e7b54bf3b3c3","isSidechain":false,"promptId":"c2bc230a-67ed-4f5e-b42f-f832728effa2","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Ri93GdxMDAJASoXPXA7YAe","type":"tool_result","content":"=== RUN   TestNatsHandleStartJob\n<6>[INFO]     2026/03/16 12:02:24 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO]     2026/03/16 12:02:24 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO]     2026/03/16 12:02:24 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n<6>[INFO]     2026/03/16 12:02:24 archive.go:230: Load archive version 3\n<4>[WARNING]  2026/03/16 12:02:24 auth.go:185: environment variable 'SESSION_KEY' not set (will use non-persistent random key)\n<6>[INFO]     2026/03/16 12:02:24 auth.go:223: Missing LDAP configuration: No LDAP support!\n<4>[WARNING]  2026/03/16 12:02:24 jwt.go:52: environment variables 'JWT_PUBLIC_KEY' or 'JWT_PRIVATE_KEY' not set (token based authentication will not work)\n<6>[INFO]     2026/03/16 12:02:24 jwtSession.go:37: JWT Session authenticator successfully registered\n<4>[WARNING]  2026/03/16 12:02:24 jwtCookieSession.go:31: environment variables 'JWT_PUBLIC_KEY' or 'JWT_PRIVATE_KEY' not set (token based authentication will not work)\n<6>[INFO]     2026/03/16 12:02:24 auth.go:241: jwtCookieSessionAuth init failed: No JWT cookie login support!\n=== RUN   TestNatsHandleStartJob/valid_job_start\n<6>[INFO]     2026/03/16 12:02:24 nats.go:292: NATS: new job (id: 1): cluster=testcluster, jobId=1001, user=testuser1, startTime=1234567890\n=== RUN   TestNatsHandleStartJob/invalid_JSON\n<3>[ERROR]    2026/03/16 12:02:24 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:240: NATS start job: parsing request failed: json: cannot unmarshal string into Go struct field Job.jobId of type int64\n=== RUN   TestNatsHandleStartJob/missing_required_fields\n<3>[ERROR]    2026/03/16 12:02:24 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:248: NATS start job: sanity check failed: no such cluster: \n=== RUN   TestNatsHandleStartJob/job_with_unknown_fields_(should_fail_due_to_DisallowUnknownFields)\n<3>[ERROR]    2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:240: NATS start job: parsing request failed: json: unknown field \"unknownField\"\n=== RUN   TestNatsHandleStartJob/job_with_tags\n<3>[ERROR]    2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:287: NATS start job: adding tag to new job 2 failed: error while checking tag operation auth: no user in context\n<6>[INFO]     2026/03/16 12:02:25 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO]     2026/03/16 12:02:25 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO]     2026/03/16 12:02:25 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsHandleStartJob (0.54s)\n    --- PASS: TestNatsHandleStartJob/valid_job_start (0.10s)\n    --- PASS: TestNatsHandleStartJob/invalid_JSON (0.10s)\n    --- PASS: TestNatsHandleStartJob/missing_required_fields (0.10s)\n    --- PASS: TestNatsHandleStartJob/job_with_unknown_fields_(should_fail_due_to_DisallowUnknownFields) (0.10s)\n    --- PASS: TestNatsHandleStartJob/job_with_tags (0.11s)\n=== RUN   TestNatsHandleStopJob\n<6>[INFO]     2026/03/16 12:02:25 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO]     2026/03/16 12:02:25 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO]     2026/03/16 12:02:25 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n<6>[INFO]     2026/03/16 12:02:25 nats.go:292: NATS: new job (id: 1): cluster=testcluster, jobId=2001, user=testuser, startTime=1234567890\n=== RUN   TestNatsHandleStopJob/valid_job_stop_-_completed\n<4>[WARNING]  2026/03/16 12:02:25 job.go:162: Error while scanning rows (Job): sql: no rows in result set\n<6>[INFO]     2026/03/16 12:02:25 nats.go:374: NATS: archiving job (dbid: 1): cluster=testcluster, jobId=2001, user=testuser, startTime=1234567890, duration=3600, state=completed\n<3>[ERROR]    2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go:100: failed to access metricDataRepo for cluster testcluster-sc1: [METRICDISPATCH]> no metric data repository configured 'testcluster-sc1'\n<3>[ERROR]    2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go:225: error in cached dataset for job 2001: [METRICDISPATCH]> no metric data repository configured 'testcluster-sc1'\n<3>[ERROR]    2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiver.go:64: Error wile loading job data for archiving\n<3>[ERROR]    2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go:139: archiving job (dbid: 1) failed at archiving job step: [METRICDISPATCH]> no metric data repository configured 'testcluster-sc1'\n=== RUN   TestNatsHandleStopJob/valid_job_stop_-_failed\n<6>[INFO]     2026/03/16 12:02:25 nats.go:292: NATS: new job (id: 1): cluster=testcluster, jobId=2002, user=testuser, startTime=1234567900\n<4>[WARNING]  2026/03/16 12:02:25 job.go:162: Error while scanning rows (Job): sql: no rows in result set\n<6>[INFO]     2026/03/16 12:02:25 nats.go:374: NATS: archiving job (dbid: 2): cluster=testcluster, jobId=2002, user=testuser, startTime=1234567900, duration=2000, state=failed\n<3>[ERROR]    2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go:100: failed to access metricDataRepo for cluster testcluster-sc1: [METRICDISPATCH]> no metric data repository configured 'testcluster-sc1'\n<3>[ERROR]    2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go:225: error in cached dataset for job 2002: [METRICDISPATCH]> no metric data repository configured 'testcluster-sc1'\n<3>[ERROR]    2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiver.go:64: Error wile loading job data for archiving\n<3>[ERROR]    2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go:139: archiving job (dbid: 2) failed at archiving job step: [METRICDISPATCH]> no metric data repository configured 'testcluster-sc1'\n=== RUN   TestNatsHandleStopJob/invalid_JSON\n<3>[ERROR]    2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:309: NATS job stop: parsing request failed: json: cannot unmarshal string into Go struct field StopJobAPIRequest.jobId of type int64\n=== RUN   TestNatsHandleStopJob/missing_jobId\n<3>[ERROR]    2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:314: NATS job stop: the field 'jobId' is required\n=== RUN   TestNatsHandleStopJob/invalid_job_state\n<6>[INFO]     2026/03/16 12:02:25 nats.go:292: NATS: new job (id: 1): cluster=testcluster, jobId=2003, user=testuser, startTime=1234567910\n<4>[WARNING]  2026/03/16 12:02:25 job.go:162: Error while scanning rows (Job): sql: no rows in result set\n<3>[ERROR]    2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:344: NATS job stop: jobId 2003 (id 131105782031096) on testcluster: invalid job state: \"invalid_state\"\n=== RUN   TestNatsHandleStopJob/stopTime_before_startTime\n<6>[INFO]     2026/03/16 12:02:26 nats.go:292: NATS: new job (id: 1): cluster=testcluster, jobId=2004, user=testuser, startTime=1234567920\n<4>[WARNING]  2026/03/16 12:02:26 job.go:162: Error while scanning rows (Job): sql: no rows in result set\n<3>[ERROR]    2026/03/16 12:02:26 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:338: NATS job stop: jobId 2004 (id 131105782034360) on testcluster: stopTime 1234567900 must be >= startTime 1234567920\n=== RUN   TestNatsHandleStopJob/job_not_found\n<4>[WARNING]  2026/03/16 12:02:26 job.go:162: Error while scanning rows (Job): sql: no rows in result set\n<4>[WARNING]  2026/03/16 12:02:26 job.go:162: Error while scanning rows (Job): sql: no rows in result set\n<3>[ERROR]    2026/03/16 12:02:26 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:324: NATS job stop: finding job failed: sql: no rows in result set\n<6>[INFO]     2026/03/16 12:02:26 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO]     2026/03/16 12:02:26 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO]     2026/03/16 12:02:26 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsHandleStopJob (1.17s)\n    --- PASS: TestNatsHandleStopJob/valid_job_stop_-_completed (0.10s)\n    --- PASS: TestNatsHandleStopJob/valid_job_stop_-_failed (0.21s)\n    --- PASS: TestNatsHandleStopJob/invalid_JSON (0.10s)\n    --- PASS: TestNatsHandleStopJob/missing_jobId (0.10s)\n    --- PASS: TestNatsHandleStopJob/invalid_job_state (0.20s)\n    --- PASS: TestNatsHandleStopJob/stopTime_before_startTime (0.20s)\n    --- PASS: TestNatsHandleStopJob/job_not_found (0.10s)\n=== RUN   TestNatsHandleNodeState\n<6>[INFO]     2026/03/16 12:02:26 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO]     2026/03/16 12:02:26 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO]     2026/03/16 12:02:26 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n=== RUN   TestNatsHandleNodeState/valid_node_state_update\n<4>[WARNING]  2026/03/16 12:02:26 nats.go:426: NATS nodestate: no metric store for cluster testcluster, skipping health check: [METRICDISPATCH]> no metric data repository configured 'testcluster-'\n=== RUN   TestNatsHandleNodeState/multiple_nodes\n<4>[WARNING]  2026/03/16 12:02:26 nats.go:426: NATS nodestate: no metric store for cluster testcluster, skipping health check: [METRICDISPATCH]> no metric data repository configured 'testcluster-'\n=== RUN   TestNatsHandleNodeState/invalid_JSON_in_event_field\n<3>[ERROR]    2026/03/16 12:02:26 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:398: NATS nodestate: parsing request failed: json: cannot unmarshal string into Go struct field UpdateNodeStatesRequest.nodes of type []schema.NodePayload\n=== RUN   TestNatsHandleNodeState/empty_nodes_array\n<4>[WARNING]  2026/03/16 12:02:26 nats.go:426: NATS nodestate: no metric store for cluster testcluster, skipping health check: [METRICDISPATCH]> no metric data repository configured 'testcluster-'\n=== RUN   TestNatsHandleNodeState/invalid_line_protocol_format\n<3>[ERROR]    2026/03/16 12:02:26 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:486: NATS test.subject: failed to decode InfluxDB line protocol message: at line 1:13: want '=' after field key \"line\", found ' '\n=== RUN   TestNatsHandleNodeState/empty_data\n<4>[WARNING]  2026/03/16 12:02:26 nats.go:477: NATS test.subject: received empty message\n<6>[INFO]     2026/03/16 12:02:26 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO]     2026/03/16 12:02:26 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO]     2026/03/16 12:02:26 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsHandleNodeState (0.36s)\n    --- PASS: TestNatsHandleNodeState/valid_node_state_update (0.05s)\n    --- PASS: TestNatsHandleNodeState/multiple_nodes (0.05s)\n    --- PASS: TestNatsHandleNodeState/invalid_JSON_in_event_field (0.05s)\n    --- PASS: TestNatsHandleNodeState/empty_nodes_array (0.05s)\n    --- PASS: TestNatsHandleNodeState/invalid_line_protocol_format (0.05s)\n    --- PASS: TestNatsHandleNodeState/empty_data (0.05s)\n=== RUN   TestNatsProcessJobEvent\n<6>[INFO]     2026/03/16 12:02:26 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO]     2026/03/16 12:02:26 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO]     2026/03/16 12:02:26 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n=== RUN   TestNatsProcessJobEvent/start_job_function\n<6>[INFO]     2026/03/16 12:02:26 nats.go:292: NATS: new job (id: 1): cluster=testcluster, jobId=3001, user=testuser, startTime=1234567890\n=== RUN   TestNatsProcessJobEvent/missing_function_tag\n<3>[ERROR]    2026/03/16 12:02:26 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:164: Job event is missing required tag 'function': measurement=job\n=== RUN   TestNatsProcessJobEvent/unknown_function\n<4>[WARNING]  2026/03/16 12:02:26 nats.go:186: Unknown job event function 'unknown_function', expected 'start_job' or 'stop_job'\n<6>[INFO]     2026/03/16 12:02:26 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO]     2026/03/16 12:02:26 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO]     2026/03/16 12:02:26 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsProcessJobEvent (0.21s)\n    --- PASS: TestNatsProcessJobEvent/start_job_function (0.05s)\n    --- PASS: TestNatsProcessJobEvent/missing_function_tag (0.05s)\n    --- PASS: TestNatsProcessJobEvent/unknown_function (0.05s)\n=== RUN   TestNatsHandleJobEvent\n<6>[INFO]     2026/03/16 12:02:26 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO]     2026/03/16 12:02:26 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO]     2026/03/16 12:02:27 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n=== RUN   TestNatsHandleJobEvent/valid_influx_line_protocol\n<6>[INFO]     2026/03/16 12:02:27 nats.go:292: NATS: new job (id: 1): cluster=testcluster, jobId=4001, user=testuser, startTime=1234567890\n=== RUN   TestNatsHandleJobEvent/invalid_influx_line_protocol\n<3>[ERROR]    2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:207: NATS test.subject: failed to decode InfluxDB line protocol message: at line 1:13: want '=' after field key \"line\", found ' '\n=== RUN   TestNatsHandleJobEvent/empty_data\n<4>[WARNING]  2026/03/16 12:02:27 nats.go:198: NATS test.subject: received empty message\n<6>[INFO]     2026/03/16 12:02:27 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO]     2026/03/16 12:02:27 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO]     2026/03/16 12:02:27 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsHandleJobEvent (0.20s)\n    --- PASS: TestNatsHandleJobEvent/valid_influx_line_protocol (0.05s)\n    --- PASS: TestNatsHandleJobEvent/invalid_influx_line_protocol (0.05s)\n    --- PASS: TestNatsHandleJobEvent/empty_data (0.05s)\n=== RUN   TestNatsHandleJobEventEdgeCases\n<6>[INFO]     2026/03/16 12:02:27 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO]     2026/03/16 12:02:27 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO]     2026/03/16 12:02:27 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n=== RUN   TestNatsHandleJobEventEdgeCases/non-event_message_(metric_data)\n=== RUN   TestNatsHandleJobEventEdgeCases/wrong_measurement_name\n=== RUN   TestNatsHandleJobEventEdgeCases/missing_event_field\n=== RUN   TestNatsHandleJobEventEdgeCases/multiple_measurements_in_one_message\n<3>[ERROR]    2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:248: NATS start job: sanity check failed: no such cluster: \n<3>[ERROR]    2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:314: NATS job stop: the field 'jobId' is required\n=== RUN   TestNatsHandleJobEventEdgeCases/escaped_quotes_in_JSON_payload\n<3>[ERROR]    2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:248: NATS start job: sanity check failed: no such cluster: test\n<6>[INFO]     2026/03/16 12:02:27 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO]     2026/03/16 12:02:27 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO]     2026/03/16 12:02:27 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsHandleJobEventEdgeCases (0.30s)\n    --- PASS: TestNatsHandleJobEventEdgeCases/non-event_message_(metric_data) (0.05s)\n    --- PASS: TestNatsHandleJobEventEdgeCases/wrong_measurement_name (0.05s)\n    --- PASS: TestNatsHandleJobEventEdgeCases/missing_event_field (0.05s)\n    --- PASS: TestNatsHandleJobEventEdgeCases/multiple_measurements_in_one_message (0.05s)\n    --- PASS: TestNatsHandleJobEventEdgeCases/escaped_quotes_in_JSON_payload (0.05s)\n=== RUN   TestNatsHandleNodeStateEdgeCases\n<6>[INFO]     2026/03/16 12:02:27 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO]     2026/03/16 12:02:27 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO]     2026/03/16 12:02:27 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n=== RUN   TestNatsHandleNodeStateEdgeCases/missing_cluster_field_in_JSON\n<4>[WARNING]  2026/03/16 12:02:27 nats.go:426: NATS nodestate: no metric store for cluster , skipping health check: [METRICDISPATCH]> no metric data repository configured '-'\n=== RUN   TestNatsHandleNodeStateEdgeCases/malformed_JSON_with_unescaped_quotes\n<3>[ERROR]    2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:486: NATS test.subject: failed to decode InfluxDB line protocol message: at line 1:38: unexpected character 'c' after field \"event\"\n=== RUN   TestNatsHandleNodeStateEdgeCases/unicode_characters_in_hostname\n<4>[WARNING]  2026/03/16 12:02:27 nats.go:426: NATS nodestate: no metric store for cluster testcluster, skipping health check: [METRICDISPATCH]> no metric data repository configured 'testcluster-'\n<3>[ERROR]    2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go:288: BatchUpdateNodeStates: subcluster lookup for 'host-ñ123' in 'testcluster': ARCHIVE/CLUSTERCONFIG > no subcluster found for cluster testcluster and host host-ñ123\n=== RUN   TestNatsHandleNodeStateEdgeCases/very_large_node_count\n<4>[WARNING]  2026/03/16 12:02:27 nats.go:426: NATS nodestate: no metric store for cluster testcluster, skipping health check: [METRICDISPATCH]> no metric data repository configured 'testcluster-'\n<3>[ERROR]    2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go:288: BatchUpdateNodeStates: subcluster lookup for 'node1' in 'testcluster': ARCHIVE/CLUSTERCONFIG > no subcluster found for cluster testcluster and host node1\n<3>[ERROR]    2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go:288: BatchUpdateNodeStates: subcluster lookup for 'node2' in 'testcluster': ARCHIVE/CLUSTERCONFIG > no subcluster found for cluster testcluster and host node2\n<3>[ERROR]    2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go:288: BatchUpdateNodeStates: subcluster lookup for 'node3' in 'testcluster': ARCHIVE/CLUSTERCONFIG > no subcluster found for cluster testcluster and host node3\n=== RUN   TestNatsHandleNodeStateEdgeCases/timestamp_in_past\n<4>[WARNING]  2026/03/16 12:02:27 nats.go:426: NATS nodestate: no metric store for cluster testcluster, skipping health check: [METRICDISPATCH]> no metric data repository configured 'testcluster-'\n<6>[INFO]     2026/03/16 12:02:27 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO]     2026/03/16 12:02:27 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO]     2026/03/16 12:02:27 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsHandleNodeStateEdgeCases (0.30s)\n    --- PASS: TestNatsHandleNodeStateEdgeCases/missing_cluster_field_in_JSON (0.05s)\n    --- PASS: TestNatsHandleNodeStateEdgeCases/malformed_JSON_with_unescaped_quotes (0.05s)\n    --- PASS: TestNatsHandleNodeStateEdgeCases/unicode_characters_in_hostname (0.05s)\n    --- PASS: TestNatsHandleNodeStateEdgeCases/very_large_node_count (0.05s)\n    --- PASS: TestNatsHandleNodeStateEdgeCases/timestamp_in_past (0.05s)\n=== RUN   TestNatsHandleStartJobDuplicatePrevention\n<6>[INFO]     2026/03/16 12:02:27 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO]     2026/03/16 12:02:27 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO]     2026/03/16 12:02:27 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n<6>[INFO]     2026/03/16 12:02:27 nats.go:292: NATS: new job (id: 1): cluster=testcluster, jobId=5001, user=testuser, startTime=1234567890\n<3>[ERROR]    2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:264: NATS start job: job with jobId 5001, cluster testcluster already exists (dbid: 131105780598920)\n<6>[INFO]     2026/03/16 12:02:28 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO]     2026/03/16 12:02:28 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO]     2026/03/16 12:02:28 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsHandleStartJobDuplicatePrevention (0.25s)\nPASS\nok  \tgithub.com/ClusterCockpit/cc-backend/internal/api\t3.952s","is_error":false}]},"uuid":"f37c2bde-401d-4bde-be0a-9ca6d5866e7f","timestamp":"2026-03-16T11:02:28.095Z","toolUseResult":{"stdout":"=== RUN   TestNatsHandleStartJob\n<6>[INFO]     2026/03/16 12:02:24 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO]     2026/03/16 12:02:24 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO]     2026/03/16 12:02:24 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n<6>[INFO]     2026/03/16 12:02:24 archive.go:230: Load archive version 3\n<4>[WARNING]  2026/03/16 12:02:24 auth.go:185: environment variable 'SESSION_KEY' not set (will use non-persistent random key)\n<6>[INFO]     2026/03/16 12:02:24 auth.go:223: Missing LDAP configuration: No LDAP support!\n<4>[WARNING]  2026/03/16 12:02:24 jwt.go:52: environment variables 'JWT_PUBLIC_KEY' or 'JWT_PRIVATE_KEY' not set (token based authentication will not work)\n<6>[INFO]     2026/03/16 12:02:24 jwtSession.go:37: JWT Session authenticator successfully registered\n<4>[WARNING]  2026/03/16 12:02:24 jwtCookieSession.go:31: environment variables 'JWT_PUBLIC_KEY' or 'JWT_PRIVATE_KEY' not set (token based authentication will not work)\n<6>[INFO]     2026/03/16 12:02:24 auth.go:241: jwtCookieSessionAuth init failed: No JWT cookie login support!\n=== RUN   TestNatsHandleStartJob/valid_job_start\n<6>[INFO]     2026/03/16 12:02:24 nats.go:292: NATS: new job (id: 1): cluster=testcluster, jobId=1001, user=testuser1, startTime=1234567890\n=== RUN   TestNatsHandleStartJob/invalid_JSON\n<3>[ERROR]    2026/03/16 12:02:24 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:240: NATS start job: parsing request failed: json: cannot unmarshal string into Go struct field Job.jobId of type int64\n=== RUN   TestNatsHandleStartJob/missing_required_fields\n<3>[ERROR]    2026/03/16 12:02:24 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:248: NATS start job: sanity check failed: no such cluster: \n=== RUN   TestNatsHandleStartJob/job_with_unknown_fields_(should_fail_due_to_DisallowUnknownFields)\n<3>[ERROR]    2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:240: NATS start job: parsing request failed: json: unknown field \"unknownField\"\n=== RUN   TestNatsHandleStartJob/job_with_tags\n<3>[ERROR]    2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:287: NATS start job: adding tag to new job 2 failed: error while checking tag operation auth: no user in context\n<6>[INFO]     2026/03/16 12:02:25 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO]     2026/03/16 12:02:25 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO]     2026/03/16 12:02:25 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsHandleStartJob (0.54s)\n    --- PASS: TestNatsHandleStartJob/valid_job_start (0.10s)\n    --- PASS: TestNatsHandleStartJob/invalid_JSON (0.10s)\n    --- PASS: TestNatsHandleStartJob/missing_required_fields (0.10s)\n    --- PASS: TestNatsHandleStartJob/job_with_unknown_fields_(should_fail_due_to_DisallowUnknownFields) (0.10s)\n    --- PASS: TestNatsHandleStartJob/job_with_tags (0.11s)\n=== RUN   TestNatsHandleStopJob\n<6>[INFO]     2026/03/16 12:02:25 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO]     2026/03/16 12:02:25 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO]     2026/03/16 12:02:25 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n<6>[INFO]     2026/03/16 12:02:25 nats.go:292: NATS: new job (id: 1): cluster=testcluster, jobId=2001, user=testuser, startTime=1234567890\n=== RUN   TestNatsHandleStopJob/valid_job_stop_-_completed\n<4>[WARNING]  2026/03/16 12:02:25 job.go:162: Error while scanning rows (Job): sql: no rows in result set\n<6>[INFO]     2026/03/16 12:02:25 nats.go:374: NATS: archiving job (dbid: 1): cluster=testcluster, jobId=2001, user=testuser, startTime=1234567890, duration=3600, state=completed\n<3>[ERROR]    2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go:100: failed to access metricDataRepo for cluster testcluster-sc1: [METRICDISPATCH]> no metric data repository configured 'testcluster-sc1'\n<3>[ERROR]    2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go:225: error in cached dataset for job 2001: [METRICDISPATCH]> no metric data repository configured 'testcluster-sc1'\n<3>[ERROR]    2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiver.go:64: Error wile loading job data for archiving\n<3>[ERROR]    2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go:139: archiving job (dbid: 1) failed at archiving job step: [METRICDISPATCH]> no metric data repository configured 'testcluster-sc1'\n=== RUN   TestNatsHandleStopJob/valid_job_stop_-_failed\n<6>[INFO]     2026/03/16 12:02:25 nats.go:292: NATS: new job (id: 1): cluster=testcluster, jobId=2002, user=testuser, startTime=1234567900\n<4>[WARNING]  2026/03/16 12:02:25 job.go:162: Error while scanning rows (Job): sql: no rows in result set\n<6>[INFO]     2026/03/16 12:02:25 nats.go:374: NATS: archiving job (dbid: 2): cluster=testcluster, jobId=2002, user=testuser, startTime=1234567900, duration=2000, state=failed\n<3>[ERROR]    2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go:100: failed to access metricDataRepo for cluster testcluster-sc1: [METRICDISPATCH]> no metric data repository configured 'testcluster-sc1'\n<3>[ERROR]    2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go:225: error in cached dataset for job 2002: [METRICDISPATCH]> no metric data repository configured 'testcluster-sc1'\n<3>[ERROR]    2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiver.go:64: Error wile loading job data for archiving\n<3>[ERROR]    2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go:139: archiving job (dbid: 2) failed at archiving job step: [METRICDISPATCH]> no metric data repository configured 'testcluster-sc1'\n=== RUN   TestNatsHandleStopJob/invalid_JSON\n<3>[ERROR]    2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:309: NATS job stop: parsing request failed: json: cannot unmarshal string into Go struct field StopJobAPIRequest.jobId of type int64\n=== RUN   TestNatsHandleStopJob/missing_jobId\n<3>[ERROR]    2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:314: NATS job stop: the field 'jobId' is required\n=== RUN   TestNatsHandleStopJob/invalid_job_state\n<6>[INFO]     2026/03/16 12:02:25 nats.go:292: NATS: new job (id: 1): cluster=testcluster, jobId=2003, user=testuser, startTime=1234567910\n<4>[WARNING]  2026/03/16 12:02:25 job.go:162: Error while scanning rows (Job): sql: no rows in result set\n<3>[ERROR]    2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:344: NATS job stop: jobId 2003 (id 131105782031096) on testcluster: invalid job state: \"invalid_state\"\n=== RUN   TestNatsHandleStopJob/stopTime_before_startTime\n<6>[INFO]     2026/03/16 12:02:26 nats.go:292: NATS: new job (id: 1): cluster=testcluster, jobId=2004, user=testuser, startTime=1234567920\n<4>[WARNING]  2026/03/16 12:02:26 job.go:162: Error while scanning rows (Job): sql: no rows in result set\n<3>[ERROR]    2026/03/16 12:02:26 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:338: NATS job stop: jobId 2004 (id 131105782034360) on testcluster: stopTime 1234567900 must be >= startTime 1234567920\n=== RUN   TestNatsHandleStopJob/job_not_found\n<4>[WARNING]  2026/03/16 12:02:26 job.go:162: Error while scanning rows (Job): sql: no rows in result set\n<4>[WARNING]  2026/03/16 12:02:26 job.go:162: Error while scanning rows (Job): sql: no rows in result set\n<3>[ERROR]    2026/03/16 12:02:26 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:324: NATS job stop: finding job failed: sql: no rows in result set\n<6>[INFO]     2026/03/16 12:02:26 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO]     2026/03/16 12:02:26 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO]     2026/03/16 12:02:26 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsHandleStopJob (1.17s)\n    --- PASS: TestNatsHandleStopJob/valid_job_stop_-_completed (0.10s)\n    --- PASS: TestNatsHandleStopJob/valid_job_stop_-_failed (0.21s)\n    --- PASS: TestNatsHandleStopJob/invalid_JSON (0.10s)\n    --- PASS: TestNatsHandleStopJob/missing_jobId (0.10s)\n    --- PASS: TestNatsHandleStopJob/invalid_job_state (0.20s)\n    --- PASS: TestNatsHandleStopJob/stopTime_before_startTime (0.20s)\n    --- PASS: TestNatsHandleStopJob/job_not_found (0.10s)\n=== RUN   TestNatsHandleNodeState\n<6>[INFO]     2026/03/16 12:02:26 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO]     2026/03/16 12:02:26 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO]     2026/03/16 12:02:26 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n=== RUN   TestNatsHandleNodeState/valid_node_state_update\n<4>[WARNING]  2026/03/16 12:02:26 nats.go:426: NATS nodestate: no metric store for cluster testcluster, skipping health check: [METRICDISPATCH]> no metric data repository configured 'testcluster-'\n=== RUN   TestNatsHandleNodeState/multiple_nodes\n<4>[WARNING]  2026/03/16 12:02:26 nats.go:426: NATS nodestate: no metric store for cluster testcluster, skipping health check: [METRICDISPATCH]> no metric data repository configured 'testcluster-'\n=== RUN   TestNatsHandleNodeState/invalid_JSON_in_event_field\n<3>[ERROR]    2026/03/16 12:02:26 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:398: NATS nodestate: parsing request failed: json: cannot unmarshal string into Go struct field UpdateNodeStatesRequest.nodes of type []schema.NodePayload\n=== RUN   TestNatsHandleNodeState/empty_nodes_array\n<4>[WARNING]  2026/03/16 12:02:26 nats.go:426: NATS nodestate: no metric store for cluster testcluster, skipping health check: [METRICDISPATCH]> no metric data repository configured 'testcluster-'\n=== RUN   TestNatsHandleNodeState/invalid_line_protocol_format\n<3>[ERROR]    2026/03/16 12:02:26 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:486: NATS test.subject: failed to decode InfluxDB line protocol message: at line 1:13: want '=' after field key \"line\", found ' '\n=== RUN   TestNatsHandleNodeState/empty_data\n<4>[WARNING]  2026/03/16 12:02:26 nats.go:477: NATS test.subject: received empty message\n<6>[INFO]     2026/03/16 12:02:26 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO]     2026/03/16 12:02:26 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO]     2026/03/16 12:02:26 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsHandleNodeState (0.36s)\n    --- PASS: TestNatsHandleNodeState/valid_node_state_update (0.05s)\n    --- PASS: TestNatsHandleNodeState/multiple_nodes (0.05s)\n    --- PASS: TestNatsHandleNodeState/invalid_JSON_in_event_field (0.05s)\n    --- PASS: TestNatsHandleNodeState/empty_nodes_array (0.05s)\n    --- PASS: TestNatsHandleNodeState/invalid_line_protocol_format (0.05s)\n    --- PASS: TestNatsHandleNodeState/empty_data (0.05s)\n=== RUN   TestNatsProcessJobEvent\n<6>[INFO]     2026/03/16 12:02:26 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO]     2026/03/16 12:02:26 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO]     2026/03/16 12:02:26 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n=== RUN   TestNatsProcessJobEvent/start_job_function\n<6>[INFO]     2026/03/16 12:02:26 nats.go:292: NATS: new job (id: 1): cluster=testcluster, jobId=3001, user=testuser, startTime=1234567890\n=== RUN   TestNatsProcessJobEvent/missing_function_tag\n<3>[ERROR]    2026/03/16 12:02:26 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:164: Job event is missing required tag 'function': measurement=job\n=== RUN   TestNatsProcessJobEvent/unknown_function\n<4>[WARNING]  2026/03/16 12:02:26 nats.go:186: Unknown job event function 'unknown_function', expected 'start_job' or 'stop_job'\n<6>[INFO]     2026/03/16 12:02:26 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO]     2026/03/16 12:02:26 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO]     2026/03/16 12:02:26 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsProcessJobEvent (0.21s)\n    --- PASS: TestNatsProcessJobEvent/start_job_function (0.05s)\n    --- PASS: TestNatsProcessJobEvent/missing_function_tag (0.05s)\n    --- PASS: TestNatsProcessJobEvent/unknown_function (0.05s)\n=== RUN   TestNatsHandleJobEvent\n<6>[INFO]     2026/03/16 12:02:26 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO]     2026/03/16 12:02:26 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO]     2026/03/16 12:02:27 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n=== RUN   TestNatsHandleJobEvent/valid_influx_line_protocol\n<6>[INFO]     2026/03/16 12:02:27 nats.go:292: NATS: new job (id: 1): cluster=testcluster, jobId=4001, user=testuser, startTime=1234567890\n=== RUN   TestNatsHandleJobEvent/invalid_influx_line_protocol\n<3>[ERROR]    2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:207: NATS test.subject: failed to decode InfluxDB line protocol message: at line 1:13: want '=' after field key \"line\", found ' '\n=== RUN   TestNatsHandleJobEvent/empty_data\n<4>[WARNING]  2026/03/16 12:02:27 nats.go:198: NATS test.subject: received empty message\n<6>[INFO]     2026/03/16 12:02:27 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO]     2026/03/16 12:02:27 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO]     2026/03/16 12:02:27 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsHandleJobEvent (0.20s)\n    --- PASS: TestNatsHandleJobEvent/valid_influx_line_protocol (0.05s)\n    --- PASS: TestNatsHandleJobEvent/invalid_influx_line_protocol (0.05s)\n    --- PASS: TestNatsHandleJobEvent/empty_data (0.05s)\n=== RUN   TestNatsHandleJobEventEdgeCases\n<6>[INFO]     2026/03/16 12:02:27 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO]     2026/03/16 12:02:27 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO]     2026/03/16 12:02:27 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n=== RUN   TestNatsHandleJobEventEdgeCases/non-event_message_(metric_data)\n=== RUN   TestNatsHandleJobEventEdgeCases/wrong_measurement_name\n=== RUN   TestNatsHandleJobEventEdgeCases/missing_event_field\n=== RUN   TestNatsHandleJobEventEdgeCases/multiple_measurements_in_one_message\n<3>[ERROR]    2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:248: NATS start job: sanity check failed: no such cluster: \n<3>[ERROR]    2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:314: NATS job stop: the field 'jobId' is required\n=== RUN   TestNatsHandleJobEventEdgeCases/escaped_quotes_in_JSON_payload\n<3>[ERROR]    2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:248: NATS start job: sanity check failed: no such cluster: test\n<6>[INFO]     2026/03/16 12:02:27 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO]     2026/03/16 12:02:27 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO]     2026/03/16 12:02:27 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsHandleJobEventEdgeCases (0.30s)\n    --- PASS: TestNatsHandleJobEventEdgeCases/non-event_message_(metric_data) (0.05s)\n    --- PASS: TestNatsHandleJobEventEdgeCases/wrong_measurement_name (0.05s)\n    --- PASS: TestNatsHandleJobEventEdgeCases/missing_event_field (0.05s)\n    --- PASS: TestNatsHandleJobEventEdgeCases/multiple_measurements_in_one_message (0.05s)\n    --- PASS: TestNatsHandleJobEventEdgeCases/escaped_quotes_in_JSON_payload (0.05s)\n=== RUN   TestNatsHandleNodeStateEdgeCases\n<6>[INFO]     2026/03/16 12:02:27 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO]     2026/03/16 12:02:27 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO]     2026/03/16 12:02:27 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n=== RUN   TestNatsHandleNodeStateEdgeCases/missing_cluster_field_in_JSON\n<4>[WARNING]  2026/03/16 12:02:27 nats.go:426: NATS nodestate: no metric store for cluster , skipping health check: [METRICDISPATCH]> no metric data repository configured '-'\n=== RUN   TestNatsHandleNodeStateEdgeCases/malformed_JSON_with_unescaped_quotes\n<3>[ERROR]    2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:486: NATS test.subject: failed to decode InfluxDB line protocol message: at line 1:38: unexpected character 'c' after field \"event\"\n=== RUN   TestNatsHandleNodeStateEdgeCases/unicode_characters_in_hostname\n<4>[WARNING]  2026/03/16 12:02:27 nats.go:426: NATS nodestate: no metric store for cluster testcluster, skipping health check: [METRICDISPATCH]> no metric data repository configured 'testcluster-'\n<3>[ERROR]    2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go:288: BatchUpdateNodeStates: subcluster lookup for 'host-ñ123' in 'testcluster': ARCHIVE/CLUSTERCONFIG > no subcluster found for cluster testcluster and host host-ñ123\n=== RUN   TestNatsHandleNodeStateEdgeCases/very_large_node_count\n<4>[WARNING]  2026/03/16 12:02:27 nats.go:426: NATS nodestate: no metric store for cluster testcluster, skipping health check: [METRICDISPATCH]> no metric data repository configured 'testcluster-'\n<3>[ERROR]    2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go:288: BatchUpdateNodeStates: subcluster lookup for 'node1' in 'testcluster': ARCHIVE/CLUSTERCONFIG > no subcluster found for cluster testcluster and host node1\n<3>[ERROR]    2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go:288: BatchUpdateNodeStates: subcluster lookup for 'node2' in 'testcluster': ARCHIVE/CLUSTERCONFIG > no subcluster found for cluster testcluster and host node2\n<3>[ERROR]    2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go:288: BatchUpdateNodeStates: subcluster lookup for 'node3' in 'testcluster': ARCHIVE/CLUSTERCONFIG > no subcluster found for cluster testcluster and host node3\n=== RUN   TestNatsHandleNodeStateEdgeCases/timestamp_in_past\n<4>[WARNING]  2026/03/16 12:02:27 nats.go:426: NATS nodestate: no metric store for cluster testcluster, skipping health check: [METRICDISPATCH]> no metric data repository configured 'testcluster-'\n<6>[INFO]     2026/03/16 12:02:27 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO]     2026/03/16 12:02:27 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO]     2026/03/16 12:02:27 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsHandleNodeStateEdgeCases (0.30s)\n    --- PASS: TestNatsHandleNodeStateEdgeCases/missing_cluster_field_in_JSON (0.05s)\n    --- PASS: TestNatsHandleNodeStateEdgeCases/malformed_JSON_with_unescaped_quotes (0.05s)\n    --- PASS: TestNatsHandleNodeStateEdgeCases/unicode_characters_in_hostname (0.05s)\n    --- PASS: TestNatsHandleNodeStateEdgeCases/very_large_node_count (0.05s)\n    --- PASS: TestNatsHandleNodeStateEdgeCases/timestamp_in_past (0.05s)\n=== RUN   TestNatsHandleStartJobDuplicatePrevention\n<6>[INFO]     2026/03/16 12:02:27 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO]     2026/03/16 12:02:27 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO]     2026/03/16 12:02:27 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n<6>[INFO]     2026/03/16 12:02:27 nats.go:292: NATS: new job (id: 1): cluster=testcluster, jobId=5001, user=testuser, startTime=1234567890\n<3>[ERROR]    2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:264: NATS start job: job with jobId 5001, cluster testcluster already exists (dbid: 131105780598920)\n<6>[INFO]     2026/03/16 12:02:28 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO]     2026/03/16 12:02:28 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO]     2026/03/16 12:02:28 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsHandleStartJobDuplicatePrevention (0.25s)\nPASS\nok  \tgithub.com/ClusterCockpit/cc-backend/internal/api\t3.952s","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"5ce0bbf2-350a-4cdd-872a-e7b54bf3b3c3","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
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This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package config implements the program configuration data structures, validation and parsing\n     7→package config\n     8→\n     9→import (\n    10→\t\"bytes\"\n    11→\t\"encoding/json\"\n    12→\t\"time\"\n    13→\n    14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    15→\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n    16→)\n    17→\n    18→type ProgramConfig struct {\n    19→\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n    20→\tAddr string `json:\"addr\"`\n    21→\n    22→\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n    23→\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n    24→\n    25→\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n    26→\n    27→\t// Drop root permissions once .env was read and the port was taken.\n    28→\tUser  string `json:\"user\"`\n    29→\tGroup string `json:\"group\"`\n    30→\n    31→\t// Disable authentication (for everything: API, Web-UI, ...)\n    32→\tDisableAuthentication bool `json:\"disable-authentication\"`\n    33→\n    34→\t// If `embed-static-files` is true (default), the frontend files are directly\n    35→\t// embeded into the go binary and expected to be in web/frontend. Only if\n    36→\t// it is false the files in `static-files` are served instead.\n    37→\tEmbedStaticFiles bool   `json:\"embed-static-files\"`\n    38→\tStaticFiles      string `json:\"static-files\"`\n    39→\n    40→\t// Path to SQLite database file\n    41→\tDB string `json:\"db\"`\n    42→\n    43→\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n    44→\n    45→\t// Validate json input against schema\n    46→\tValidate bool `json:\"validate\"`\n    47→\n    48→\t// If 0 or empty, the session does not expire!\n    49→\tSessionMaxAge string `json:\"session-max-age\"`\n    50→\n    51→\t// If both those options are not empty, use HTTPS using those certificates.\n    52→\tHTTPSCertFile string `json:\"https-cert-file\"`\n    53→\tHTTPSKeyFile  string `json:\"https-key-file\"`\n    54→\n    55→\t// If not the empty string and `addr` does not end in \":80\",\n    56→\t// redirect every request incoming at port 80 to that url.\n    57→\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n    58→\n    59→\t// Where to store MachineState files\n    60→\tMachineStateDir string `json:\"machine-state-dir\"`\n    61→\n    62→\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n    63→\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n    64→\n    65→\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n    66→\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n    67→\n    68→\t// Energy Mix CO2 Emission Constant [g/kWh]\n    69→\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n    70→\tEmissionConstant int `json:\"emission-constant\"`\n    71→\n    72→\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n    73→\tEnableResampling *ResampleConfig `json:\"resampling\"`\n    74→\n    75→\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n    76→\tSystemdUnit string `json:\"systemd-unit\"`\n    77→\n    78→\t// Node state retention configuration\n    79→\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n    80→\n    81→\t// Database tuning configuration\n    82→\tDbConfig *DbConfig `json:\"db-config\"`\n    83→}\n    84→\n    85→type DbConfig struct {\n    86→\tCacheSizeMB               int `json:\"cache-size-mb\"`\n    87→\tSoftHeapLimitMB           int `json:\"soft-heap-limit-mb\"`\n    88→\tMaxOpenConnections        int `json:\"max-open-connections\"`\n    89→\tMaxIdleConnections        int `json:\"max-idle-connections\"`\n    90→\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n    91→\tBusyTimeoutMs             int `json:\"busy-timeout-ms\"`\n    92→}\n    93→\n    94→type NodeStateRetention struct {\n    95→\tPolicy             string `json:\"policy\"`      // \"delete\" or \"move\"\n    96→\tAge                int    `json:\"age\"`         // hours, default 24\n    97→\tTargetKind         string `json:\"target-kind\"` // \"file\" or \"s3\"\n    98→\tTargetPath         string `json:\"target-path\"`\n    99→\tTargetEndpoint     string `json:\"target-endpoint\"`\n   100→\tTargetBucket       string `json:\"target-bucket\"`\n   101→\tTargetAccessKey    string `json:\"target-access-key\"`\n   102→\tTargetSecretKey    string `json:\"target-secret-key\"`\n   103→\tTargetRegion       string `json:\"target-region\"`\n   104→\tTargetUsePathStyle bool   `json:\"target-use-path-style\"`\n   105→\tMaxFileSizeMB      int    `json:\"max-file-size-mb\"`\n   106→}\n   107→\n   108→type ResampleConfig struct {\n   109→\t// Minimum number of points to trigger resampling of data\n   110→\tMinimumPoints int `json:\"minimum-points\"`\n   111→\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n   112→\tResolutions []int `json:\"resolutions\"`\n   113→\t// Trigger next zoom level at less than this many visible datapoints\n   114→\tTrigger int `json:\"trigger\"`\n   115→}\n   116→\n   117→type NATSConfig struct {\n   118→\tSubjectJobEvent  string `json:\"subject-job-event\"`\n   119→\tSubjectNodeState string `json:\"subject-node-state\"`\n   120→\tJobConcurrency   int    `json:\"job-concurrency\"`\n   121→\tNodeConcurrency  int    `json:\"node-concurrency\"`\n   122→}\n   123→\n   124→type IntRange struct {\n   125→\tFrom int `json:\"from\"`\n   126→\tTo   int `json:\"to\"`\n   127→}\n   128→\n   129→type TimeRange struct {\n   130→\tFrom  *time.Time `json:\"from\"`\n   131→\tTo    *time.Time `json:\"to\"`\n   132→\tRange string     `json:\"range,omitempty\"`\n   133→}\n   134→\n   135→type FilterRanges struct {\n   136→\tDuration  *IntRange  `json:\"duration\"`\n   137→\tNumNodes  *IntRange  `json:\"num-nodes\"`\n   138→\tStartTime *TimeRange `json:\"start-time\"`\n   139→}\n   140→\n   141→var Keys ProgramConfig = ProgramConfig{\n   142→\tAddr:                      \"localhost:8080\",\n   143→\tEmbedStaticFiles:          true,\n   144→\tDB:                        \"./var/job.db\",\n   145→\tSessionMaxAge:             \"168h\",\n   146→\tStopJobsExceedingWalltime: 0,\n   147→\tShortRunningJobsDuration:  5 * 60,\n   148→}\n   149→\n   150→func Init(mainConfig json.RawMessage) {\n   151→\tValidate(configSchema, mainConfig)\n   152→\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n   153→\tdec.DisallowUnknownFields()\n   154→\tif err := dec.Decode(&Keys); err != nil {\n   155→\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n   156→\t}\n   157→\n   158→\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n   159→\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n   160→\t}\n   161→}\n   162→"}]},"uuid":"29ec25a5-faf6-48d3-bf88-d5ec12f32562","timestamp":"2026-03-16T11:10:20.531Z"},"type":"agent_progress","prompt":"","agentId":"a379ecc75bfa5944a"},"toolUseID":"agent_msg_01E84TDzstrH6QPmN3FXDjnM","parentToolUseID":"toolu_01RfjwLRZ45KeNLSLxTFWg82","uuid":"43ac9c78-0989-4092-8692-574d3c88980f","timestamp":"2026-03-16T11:10:20.700Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
+{"parentUuid":"43ac9c78-0989-4092-8692-574d3c88980f","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T11:10:20.710Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01RUbfjyCcdMYgNLiLbmyiuv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014X6RT2kQLRHLfLjgwmQXAN","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/schema.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":282,"cache_creation_input_tokens":8106,"cache_read_input_tokens":17278,"cache_creation":{"ephemeral_5m_input_tokens":8106,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6f2drZrU641go3FzusZ","uuid":"34f1217b-cb52-4464-90ec-f8582bc32a68"},"type":"agent_progress","prompt":"","agentId":"a379ecc75bfa5944a"},"toolUseID":"agent_msg_01E84TDzstrH6QPmN3FXDjnM","parentToolUseID":"toolu_01RfjwLRZ45KeNLSLxTFWg82","uuid":"9729de39-5d2a-4790-b2cf-a390a1cf63a2","timestamp":"2026-03-16T11:10:20.711Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
+{"parentUuid":"9729de39-5d2a-4790-b2cf-a390a1cf63a2","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014X6RT2kQLRHLfLjgwmQXAN","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package config\n     7→\n     8→var configSchema = `\n     9→{\n    10→  \"type\": \"object\",\n    11→  \"properties\": {\n    12→    \"addr\": {\n    13→      \"description\": \"Address where the http (or https) server will listen on (for example: 'localhost:80').\",\n    14→      \"type\": \"string\"\n    15→    },\n    16→    \"api-allowed-ips\": {\n    17→      \"description\": \"Addresses from which secured API endpoints can be reached\",\n    18→      \"type\": \"array\",\n    19→      \"items\": {\n    20→        \"type\": \"string\"\n    21→      }\n    22→    },\n    23→    \"user\": {\n    24→      \"description\": \"Drop root permissions once .env was read and the port was taken. Only applicable if using privileged port.\",\n    25→      \"type\": \"string\"\n    26→    },\n    27→    \"group\": {\n    28→      \"description\": \"Drop root permissions once .env was read and the port was taken. Only applicable if using privileged port.\",\n    29→      \"type\": \"string\"\n    30→    },\n    31→    \"disable-authentication\": {\n    32→      \"description\": \"Disable authentication (for everything: API, Web-UI, ...).\",\n    33→      \"type\": \"boolean\"\n    34→    },\n    35→    \"embed-static-files\": {\n    36→      \"description\": \"If all files in web/frontend/public should be served from within the binary itself (they are embedded) or not.\",\n    37→      \"type\": \"boolean\"\n    38→    },\n    39→    \"static-files\": {\n    40→      \"description\": \"Folder where static assets can be found, if embed-static-files is false.\",\n    41→      \"type\": \"string\"\n    42→    },\n    43→    \"db\": {\n    44→      \"description\": \"Path to SQLite database file (e.g., './var/job.db')\",\n    45→      \"type\": \"string\"\n    46→    },\n    47→    \"enable-job-taggers\": {\n    48→      \"description\": \"Turn on automatic application and jobclass taggers\",\n    49→      \"type\": \"boolean\"\n    50→    },\n    51→    \"validate\": {\n    52→      \"description\": \"Validate all input json documents against json schema.\",\n    53→      \"type\": \"boolean\"\n    54→    },\n    55→    \"session-max-age\": {\n    56→      \"description\": \"Specifies for how long a session shall be valid  as a string parsable by time.ParseDuration(). If 0 or empty, the session/token does not expire!\",\n    57→      \"type\": \"string\"\n    58→    },\n    59→    \"https-cert-file\": {\n    60→      \"description\": \"Filepath to SSL certificate. If also https-key-file is set use HTTPS using those certificates.\",\n    61→      \"type\": \"string\"\n    62→    },\n    63→    \"https-key-file\": {\n    64→      \"description\": \"Filepath to SSL key file. If also https-cert-file is set use HTTPS using those certificates.\",\n    65→      \"type\": \"string\"\n    66→    },\n    67→    \"redirect-http-to\": {\n    68→      \"description\": \"If not the empty string and addr does not end in :80, redirect every request incoming at port 80 to that url.\",\n    69→      \"type\": \"string\"\n    70→    },\n    71→    \"stop-jobs-exceeding-walltime\": {\n    72→      \"description\": \"If not zero, automatically mark jobs as stopped running X seconds longer than their walltime. Only applies if walltime is set for job.\",\n    73→      \"type\": \"integer\"\n    74→    },\n    75→    \"short-running-jobs-duration\": {\n    76→      \"description\": \"Do not show running jobs shorter than X seconds.\",\n    77→      \"type\": \"integer\"\n    78→    },\n    79→    \"emission-constant\": {\n    80→      \"description\": \"Energy mix CO2 emission constant [g/kWh]. If set, displays estimated CO2 emission for jobs.\",\n    81→      \"type\": \"integer\"\n    82→    },\n    83→    \"machine-state-dir\": {\n    84→      \"description\": \"Where to store MachineState files.\",\n    85→      \"type\": \"string\"\n    86→    },\n    87→    \"systemd-unit\": {\n    88→      \"description\": \"Systemd unit name for log viewer (default: 'clustercockpit').\",\n    89→      \"type\": \"string\"\n    90→    },\n    91→    \"resampling\": {\n    92→      \"description\": \"Enable dynamic zoom in frontend metric plots.\",\n    93→      \"type\": \"object\",\n    94→      \"properties\": {\n    95→        \"minimum-points\": {\n    96→          \"description\": \"Minimum points to trigger resampling of time-series data.\",\n    97→          \"type\": \"integer\"\n    98→        },\n    99→        \"trigger\": {\n   100→          \"description\": \"Trigger next zoom level at less than this many visible datapoints.\",\n   101→          \"type\": \"integer\"\n   102→        },\n   103→        \"resolutions\": {\n   104→          \"description\": \"Array of resampling target resolutions, in seconds.\",\n   105→          \"type\": \"array\",\n   106→          \"items\": {\n   107→            \"type\": \"integer\"\n   108→          }\n   109→        }\n   110→      },\n   111→      \"required\": [\"trigger\", \"resolutions\"]\n   112→    },\n   113→    \"api-subjects\": {\n   114→      \"description\": \"NATS subjects configuration for subscribing to job and node events.\",\n   115→      \"type\": \"object\",\n   116→      \"properties\": {\n   117→        \"subject-job-event\": {\n   118→          \"description\": \"NATS subject for job events (start_job, stop_job)\",\n   119→          \"type\": \"string\"\n   120→        },\n   121→        \"subject-node-state\": {\n   122→          \"description\": \"NATS subject for node state updates\",\n   123→          \"type\": \"string\"\n   124→        }\n   125→      },\n   126→      \"required\": [\"subject-job-event\", \"subject-node-state\"]\n   127→    },\n   128→    \"nodestate-retention\": {\n   129→      \"description\": \"Node state retention configuration for cleaning up old node_state rows.\",\n   130→      \"type\": \"object\",\n   131→      \"properties\": {\n   132→        \"policy\": {\n   133→          \"description\": \"Retention policy: 'delete' to remove old rows, 'move' to archive to Parquet then delete.\",\n   134→          \"type\": \"string\",\n   135→          \"enum\": [\"delete\", \"move\"]\n   136→        },\n   137→        \"age\": {\n   138→          \"description\": \"Retention age in hours (default: 24).\",\n   139→          \"type\": \"integer\"\n   140→        },\n   141→        \"target-kind\": {\n   142→          \"description\": \"Target kind for parquet archiving: 'file' or 's3'.\",\n   143→          \"type\": \"string\",\n   144→          \"enum\": [\"file\", \"s3\"]\n   145→        },\n   146→        \"target-path\": {\n   147→          \"description\": \"Filesystem path for parquet file target.\",\n   148→          \"type\": \"string\"\n   149→        },\n   150→        \"target-endpoint\": {\n   151→          \"description\": \"S3 endpoint URL.\",\n   152→          \"type\": \"string\"\n   153→        },\n   154→        \"target-bucket\": {\n   155→          \"description\": \"S3 bucket name.\",\n   156→          \"type\": \"string\"\n   157→        },\n   158→        \"target-access-key\": {\n   159→          \"description\": \"S3 access key.\",\n   160→          \"type\": \"string\"\n   161→        },\n   162→        \"target-secret-key\": {\n   163→          \"description\": \"S3 secret key.\",\n   164→          \"type\": \"string\"\n   165→        },\n   166→        \"target-region\": {\n   167→          \"description\": \"S3 region.\",\n   168→          \"type\": \"string\"\n   169→        },\n   170→        \"target-use-path-style\": {\n   171→          \"description\": \"Use path-style S3 addressing.\",\n   172→          \"type\": \"boolean\"\n   173→        },\n   174→        \"max-file-size-mb\": {\n   175→          \"description\": \"Maximum parquet file size in MB (default: 128).\",\n   176→          \"type\": \"integer\"\n   177→        }\n   178→      },\n   179→      \"required\": [\"policy\"]\n   180→    },\n   181→    \"db-config\": {\n   182→      \"description\": \"SQLite database tuning configuration.\",\n   183→      \"type\": \"object\",\n   184→      \"properties\": {\n   185→        \"cache-size-mb\": {\n   186→          \"description\": \"SQLite page cache size per connection in MB (default: 2048).\",\n   187→          \"type\": \"integer\"\n   188→        },\n   189→        \"soft-heap-limit-mb\": {\n   190→          \"description\": \"Process-wide SQLite soft heap limit in MB (default: 16384).\",\n   191→          \"type\": \"integer\"\n   192→        },\n   193→        \"max-open-connections\": {\n   194→          \"description\": \"Maximum number of open database connections (default: 4).\",\n   195→          \"type\": \"integer\"\n   196→        },\n   197→        \"max-idle-connections\": {\n   198→          \"description\": \"Maximum number of idle database connections (default: 4).\",\n   199→          \"type\": \"integer\"\n   200→        },\n   201→        \"max-idle-time-minutes\": {\n   202→          \"description\": \"Maximum idle time for a connection in minutes (default: 10).\",\n   203→          \"type\": \"integer\"\n   204→        },\n   205→        \"busy-timeout-ms\": {\n   206→          \"description\": \"SQLite busy timeout in milliseconds. When a write is blocked, SQLite retries with backoff for up to this duration before returning SQLITE_BUSY (default: 60000).\",\n   207→          \"type\": \"integer\"\n   208→        }\n   209→      }\n   210→    }\n   211→  }\n   212→}`\n   213→"}]},"uuid":"af7b093f-3cdb-40fb-b421-e191b239203c","timestamp":"2026-03-16T11:10:20.717Z"},"type":"agent_progress","prompt":"","agentId":"a379ecc75bfa5944a"},"toolUseID":"agent_msg_01E84TDzstrH6QPmN3FXDjnM","parentToolUseID":"toolu_01RfjwLRZ45KeNLSLxTFWg82","uuid":"916d586d-add4-402f-86cc-666b1f6cc9e0","timestamp":"2026-03-16T11:10:20.911Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
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+{"parentUuid":"0b1f751f-1d25-483f-a56e-ec5e2d38c066","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VimY8C691Syu9pkAZwZvMx","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"database/sql\"\n    10→\t\"encoding/json\"\n    11→\t\"maps\"\n    12→\t\"strings\"\n    13→\t\"sync\"\n    14→\t\"time\"\n    15→\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n    19→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    20→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    21→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    22→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n    23→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    24→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n    25→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    26→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n    27→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    28→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n    29→)\n    30→\n    31→// natsMessage wraps a raw NATS message with its subject for channel-based processing.\n    32→type natsMessage struct {\n    33→\tsubject string\n    34→\tdata    []byte\n    35→}\n    36→\n    37→// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n    38→// It mirrors the functionality of the REST API but uses NATS messaging with\n    39→// InfluxDB line protocol as the message format.\n    40→//\n    41→// # Message Format\n    42→//\n    43→// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n    44→// with the following structure:\n    45→//\n    46→//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n    47→//\n    48→// # Job Events\n    49→//\n    50→// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n    51→//\n    52→//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n    53→//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n    54→//\n    55→// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n    56→//\n    57→// Example job start message:\n    58→//\n    59→//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n    60→//\n    61→// # Node State Events\n    62→//\n    63→// Node state updates use the \"nodestate\" measurement with cluster information:\n    64→//\n    65→//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n    66→//\n    67→// The JSON payload follows the UpdateNodeStatesRequest structure.\n    68→//\n    69→// Example node state message:\n    70→//\n    71→//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\n    72→type NatsAPI struct {\n    73→\tJobRepository *repository.JobRepository\n    74→\t// RepositoryMutex protects job creation operations from race conditions\n    75→\t// when checking for duplicate jobs during startJob calls.\n    76→\tRepositoryMutex sync.Mutex\n    77→\t// jobCh receives job event messages for processing by worker goroutines.\n    78→\tjobCh chan natsMessage\n    79→\t// nodeCh receives node state messages for processing by worker goroutines.\n    80→\tnodeCh chan natsMessage\n    81→}\n    82→\n    83→// NewNatsAPI creates a new NatsAPI instance with channel-based worker pools.\n    84→// Concurrency is configured via NATSConfig (defaults: JobConcurrency=8, NodeConcurrency=2).\n    85→func NewNatsAPI() *NatsAPI {\n    86→\tjobConc := 8\n    87→\tnodeConc := 2\n    88→\n    89→\tif s := config.Keys.APISubjects; s != nil {\n    90→\t\tif s.JobConcurrency > 0 {\n    91→\t\t\tjobConc = s.JobConcurrency\n    92→\t\t}\n    93→\t\tif s.NodeConcurrency > 0 {\n    94→\t\t\tnodeConc = s.NodeConcurrency\n    95→\t\t}\n    96→\t}\n    97→\n    98→\tapi := &NatsAPI{\n    99→\t\tJobRepository: repository.GetJobRepository(),\n   100→\t\tjobCh:         make(chan natsMessage, jobConc),\n   101→\t\tnodeCh:        make(chan natsMessage, nodeConc),\n   102→\t}\n   103→\n   104→\t// Start worker goroutines\n   105→\tfor range jobConc {\n   106→\t\tgo api.jobWorker()\n   107→\t}\n   108→\tfor range nodeConc {\n   109→\t\tgo api.nodeWorker()\n   110→\t}\n   111→\n   112→\treturn api\n   113→}\n   114→\n   115→// jobWorker processes job event messages from the job channel.\n   116→func (api *NatsAPI) jobWorker() {\n   117→\tfor msg := range api.jobCh {\n   118→\t\tapi.handleJobEvent(msg.subject, msg.data)\n   119→\t}\n   120→}\n   121→\n   122→// nodeWorker processes node state messages from the node channel.\n   123→func (api *NatsAPI) nodeWorker() {\n   124→\tfor msg := range api.nodeCh {\n   125→\t\tapi.handleNodeState(msg.subject, msg.data)\n   126→\t}\n   127→}\n   128→\n   129→// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n   130→// Messages are delivered to buffered channels and processed by worker goroutines.\n   131→// Returns an error if the NATS client is not available or subscription fails.\n   132→func (api *NatsAPI) StartSubscriptions() error {\n   133→\tclient := nats.GetClient()\n   134→\tif client == nil {\n   135→\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n   136→\t\treturn nil\n   137→\t}\n   138→\n   139→\tif config.Keys.APISubjects != nil {\n   140→\t\ts := config.Keys.APISubjects\n   141→\n   142→\t\tif err := client.Subscribe(s.SubjectJobEvent, func(subject string, data []byte) {\n   143→\t\t\tapi.jobCh <- natsMessage{subject: subject, data: data}\n   144→\t\t}); err != nil {\n   145→\t\t\treturn err\n   146→\t\t}\n   147→\n   148→\t\tif err := client.Subscribe(s.SubjectNodeState, func(subject string, data []byte) {\n   149→\t\t\tapi.nodeCh <- natsMessage{subject: subject, data: data}\n   150→\t\t}); err != nil {\n   151→\t\t\treturn err\n   152→\t\t}\n   153→\n   154→\t\tcclog.Info(\"NATS API subscriptions started\")\n   155→\t}\n   156→\treturn nil\n   157→}\n   158→\n   159→// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n   160→// Validates that required tags and fields are present before processing.\n   161→func (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n   162→\tfunction, ok := msg.GetTag(\"function\")\n   163→\tif !ok {\n   164→\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n   165→\t\treturn\n   166→\t}\n   167→\n   168→\tswitch function {\n   169→\tcase \"start_job\":\n   170→\t\tv, ok := msg.GetEventValue()\n   171→\t\tif !ok {\n   172→\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n   173→\t\t\treturn\n   174→\t\t}\n   175→\t\tapi.handleStartJob(v)\n   176→\n   177→\tcase \"stop_job\":\n   178→\t\tv, ok := msg.GetEventValue()\n   179→\t\tif !ok {\n   180→\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n   181→\t\t\treturn\n   182→\t\t}\n   183→\t\tapi.handleStopJob(v)\n   184→\n   185→\tdefault:\n   186→\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n   187→\t}\n   188→}\n   189→\n   190→// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n   191→// The message must be in line protocol format with measurement=\"job\" and include:\n   192→//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n   193→//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n   194→//\n   195→// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\n   196→func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n   197→\tif len(data) == 0 {\n   198→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n   199→\t\treturn\n   200→\t}\n   201→\n   202→\td := influx.NewDecoderWithBytes(data)\n   203→\n   204→\tfor d.Next() {\n   205→\t\tm, err := receivers.DecodeInfluxMessage(d)\n   206→\t\tif err != nil {\n   207→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n   208→\t\t\treturn\n   209→\t\t}\n   210→\n   211→\t\tif !m.IsEvent() {\n   212→\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n   213→\t\t\tcontinue\n   214→\t\t}\n   215→\n   216→\t\tif m.Name() == \"job\" {\n   217→\t\t\tapi.processJobEvent(m)\n   218→\t\t} else {\n   219→\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n   220→\t\t}\n   221→\t}\n   222→}\n   223→\n   224→// handleStartJob processes job start messages received via NATS.\n   225→// The payload parameter contains JSON following the schema.Job structure.\n   226→// Jobs are validated, checked for duplicates, and inserted into the database.\n   227→func (api *NatsAPI) handleStartJob(payload string) {\n   228→\tif payload == \"\" {\n   229→\t\tcclog.Error(\"NATS start job: payload is empty\")\n   230→\t\treturn\n   231→\t}\n   232→\treq := schema.Job{\n   233→\t\tShared:           \"none\",\n   234→\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n   235→\t}\n   236→\n   237→\tdec := json.NewDecoder(strings.NewReader(payload))\n   238→\tdec.DisallowUnknownFields()\n   239→\tif err := dec.Decode(&req); err != nil {\n   240→\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n   241→\t\treturn\n   242→\t}\n   243→\n   244→\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n   245→\treq.State = schema.JobStateRunning\n   246→\n   247→\tif err := importer.SanityChecks(&req); err != nil {\n   248→\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n   249→\t\treturn\n   250→\t}\n   251→\n   252→\tvar unlockOnce sync.Once\n   253→\tapi.RepositoryMutex.Lock()\n   254→\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n   255→\n   256→\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n   257→\tif err != nil && err != sql.ErrNoRows {\n   258→\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n   259→\t\treturn\n   260→\t}\n   261→\tif err == nil {\n   262→\t\tfor _, job := range jobs {\n   263→\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n   264→\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n   265→\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n   266→\t\t\t\treturn\n   267→\t\t\t}\n   268→\t\t}\n   269→\t}\n   270→\n   271→\t// When tags are present, insert directly into the job table so that the\n   272→\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n   273→\tvar id int64\n   274→\tif len(req.Tags) > 0 {\n   275→\t\tid, err = api.JobRepository.StartDirect(&req)\n   276→\t} else {\n   277→\t\tid, err = api.JobRepository.Start(&req)\n   278→\t}\n   279→\tif err != nil {\n   280→\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n   281→\t\treturn\n   282→\t}\n   283→\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n   284→\n   285→\tfor _, tag := range req.Tags {\n   286→\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n   287→\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n   288→\t\t\treturn\n   289→\t\t}\n   290→\t}\n   291→\n   292→\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n   293→\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n   294→}\n   295→\n   296→// handleStopJob processes job stop messages received via NATS.\n   297→// The payload parameter contains JSON following the StopJobAPIRequest structure.\n   298→// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\n   299→func (api *NatsAPI) handleStopJob(payload string) {\n   300→\tif payload == \"\" {\n   301→\t\tcclog.Error(\"NATS stop job: payload is empty\")\n   302→\t\treturn\n   303→\t}\n   304→\tvar req StopJobAPIRequest\n   305→\n   306→\tdec := json.NewDecoder(strings.NewReader(payload))\n   307→\tdec.DisallowUnknownFields()\n   308→\tif err := dec.Decode(&req); err != nil {\n   309→\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n   310→\t\treturn\n   311→\t}\n   312→\n   313→\tif req.JobID == nil {\n   314→\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n   315→\t\treturn\n   316→\t}\n   317→\n   318→\tisCached := false\n   319→\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n   320→\tif err != nil {\n   321→\t\t// Not in cache, try main job table\n   322→\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n   323→\t\tif err != nil {\n   324→\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n   325→\t\t\treturn\n   326→\t\t}\n   327→\t} else {\n   328→\t\tisCached = true\n   329→\t}\n   330→\n   331→\tif job.State != schema.JobStateRunning {\n   332→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n   333→\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n   334→\t\treturn\n   335→\t}\n   336→\n   337→\tif job.StartTime > req.StopTime {\n   338→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n   339→\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n   340→\t\treturn\n   341→\t}\n   342→\n   343→\tif req.State != \"\" && !req.State.Valid() {\n   344→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n   345→\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n   346→\t\treturn\n   347→\t} else if req.State == \"\" {\n   348→\t\treq.State = schema.JobStateCompleted\n   349→\t}\n   350→\n   351→\tjob.Duration = int32(req.StopTime - job.StartTime)\n   352→\tjob.State = req.State\n   353→\tapi.JobRepository.Mutex.Lock()\n   354→\tdefer api.JobRepository.Mutex.Unlock()\n   355→\n   356→\t// If the job is still in job_cache, transfer it to the job table first\n   357→\tif isCached {\n   358→\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n   359→\t\tif err != nil {\n   360→\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n   361→\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n   362→\t\t\treturn\n   363→\t\t}\n   364→\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n   365→\t\tjob.ID = &newID\n   366→\t}\n   367→\n   368→\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n   369→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n   370→\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n   371→\t\treturn\n   372→\t}\n   373→\n   374→\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n   375→\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n   376→\n   377→\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n   378→\t\treturn\n   379→\t}\n   380→\n   381→\tarchiver.TriggerArchiving(job)\n   382→}\n   383→\n   384→// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n   385→// Updates node states in the repository for all nodes in the payload.\n   386→func (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n   387→\tv, ok := msg.GetEventValue()\n   388→\tif !ok {\n   389→\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n   390→\t\treturn\n   391→\t}\n   392→\n   393→\tvar req UpdateNodeStatesRequest\n   394→\n   395→\tdec := json.NewDecoder(strings.NewReader(v))\n   396→\tdec.DisallowUnknownFields()\n   397→\tif err := dec.Decode(&req); err != nil {\n   398→\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n   399→\t\treturn\n   400→\t}\n   401→\n   402→\trepo := repository.GetNodeRepository()\n   403→\trequestReceived := time.Now().Unix()\n   404→\n   405→\t// Build nodeList per subcluster for health check\n   406→\tm := make(map[string][]string)\n   407→\tmetricNames := make(map[string][]string)\n   408→\thealthResults := make(map[string]metricstore.HealthCheckResult)\n   409→\n   410→\tfor _, node := range req.Nodes {\n   411→\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n   412→\t\t\tm[sc] = append(m[sc], node.Hostname)\n   413→\t\t}\n   414→\t}\n   415→\n   416→\tfor sc := range m {\n   417→\t\tif sc != \"\" {\n   418→\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n   419→\t\t\tmetricNames[sc] = metricListToNames(metricList)\n   420→\t\t}\n   421→\t}\n   422→\n   423→\t// Perform health check against metric store\n   424→\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n   425→\tif err != nil {\n   426→\t\tcclog.Warnf(\"NATS nodestate: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n   427→\t} else {\n   428→\t\tfor sc, nl := range m {\n   429→\t\t\tif sc != \"\" {\n   430→\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n   431→\t\t\t\t\tmaps.Copy(healthResults, results)\n   432→\t\t\t\t}\n   433→\t\t\t}\n   434→\t\t}\n   435→\t}\n   436→\n   437→\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n   438→\tfor _, node := range req.Nodes {\n   439→\t\tstate := determineState(node.States)\n   440→\t\thealthState := schema.MonitoringStateFailed\n   441→\t\tvar healthMetrics string\n   442→\t\tif result, ok := healthResults[node.Hostname]; ok {\n   443→\t\t\thealthState = result.State\n   444→\t\t\thealthMetrics = result.HealthMetrics\n   445→\t\t}\n   446→\t\tnodeState := schema.NodeStateDB{\n   447→\t\t\tTimeStamp:       requestReceived,\n   448→\t\t\tNodeState:       state,\n   449→\t\t\tCpusAllocated:   node.CpusAllocated,\n   450→\t\t\tMemoryAllocated: node.MemoryAllocated,\n   451→\t\t\tGpusAllocated:   node.GpusAllocated,\n   452→\t\t\tHealthState:     healthState,\n   453→\t\t\tHealthMetrics:   healthMetrics,\n   454→\t\t\tJobsRunning:     node.JobsRunning,\n   455→\t\t}\n   456→\t\tupdates = append(updates, repository.NodeStateUpdate{\n   457→\t\t\tHostname:  node.Hostname,\n   458→\t\t\tCluster:   req.Cluster,\n   459→\t\t\tNodeState: &nodeState,\n   460→\t\t})\n   461→\t}\n   462→\n   463→\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n   464→\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n   465→\t}\n   466→\n   467→\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n   468→}\n   469→\n   470→// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n   471→// The message must be in line protocol format with measurement=\"nodestate\" and include:\n   472→//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n   473→//\n   474→// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\n   475→func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n   476→\tif len(data) == 0 {\n   477→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n   478→\t\treturn\n   479→\t}\n   480→\n   481→\td := influx.NewDecoderWithBytes(data)\n   482→\n   483→\tfor d.Next() {\n   484→\t\tm, err := receivers.DecodeInfluxMessage(d)\n   485→\t\tif err != nil {\n   486→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n   487→\t\t\treturn\n   488→\t\t}\n   489→\n   490→\t\tif !m.IsEvent() {\n   491→\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n   492→\t\t\tcontinue\n   493→\t\t}\n   494→\n   495→\t\tif m.Name() == \"nodestate\" {\n   496→\t\t\tapi.processNodestateEvent(m)\n   497→\t\t} else {\n   498→\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n   499→\t\t}\n   500→\t}\n   501→}\n   502→"}]},"uuid":"c30ef850-24cc-4a87-87fc-048882e4a7e3","timestamp":"2026-03-16T11:10:20.939Z"},"type":"agent_progress","prompt":"","agentId":"a379ecc75bfa5944a"},"toolUseID":"agent_msg_01E84TDzstrH6QPmN3FXDjnM","parentToolUseID":"toolu_01RfjwLRZ45KeNLSLxTFWg82","uuid":"83b36bfd-447d-4f3b-b0f6-1a7b57537db9","timestamp":"2026-03-16T11:10:21.051Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
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+{"parentUuid":"f88d9640-a4f1-4b55-b648-7730f8659ee1","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UE7ZjZSu2PDaFFsrkXBqX7","type":"tool_result","content":"     1→# CLAUDE.md\n     2→\n     3→This file provides guidance to Claude Code (claude.ai/code) when working with\n     4→code in this repository.\n     5→\n     6→## Project Overview\n     7→\n     8→ClusterCockpit is a job-specific performance monitoring framework for HPC\n     9→clusters. This is a Golang backend that provides REST and GraphQL APIs, serves a\n    10→Svelte-based frontend, and manages job archives and metric data from various\n    11→time-series databases.\n    12→\n    13→## Build and Development Commands\n    14→\n    15→### Building\n    16→\n    17→```bash\n    18→# Build everything (frontend + backend)\n    19→make\n    20→\n    21→# Build only the frontend\n    22→make frontend\n    23→\n    24→# Build only the backend (requires frontend to be built first)\n    25→go build -ldflags='-s -X main.date=$(date +\"%Y-%m-%d:T%H:%M:%S\") -X main.version=1.5.0 -X main.commit=$(git rev-parse --short HEAD)' ./cmd/cc-backend\n    26→```\n    27→\n    28→### Testing\n    29→\n    30→```bash\n    31→# Run all tests\n    32→make test\n    33→\n    34→# Run tests with verbose output\n    35→go test -v ./...\n    36→\n    37→# Run tests for a specific package\n    38→go test ./internal/repository\n    39→```\n    40→\n    41→### Code Generation\n    42→\n    43→```bash\n    44→# Regenerate GraphQL schema and resolvers (after modifying api/schema.graphqls)\n    45→make graphql\n    46→\n    47→# Regenerate Swagger/OpenAPI docs (after modifying API comments)\n    48→make swagger\n    49→```\n    50→\n    51→### Frontend Development\n    52→\n    53→```bash\n    54→cd web/frontend\n    55→\n    56→# Install dependencies\n    57→npm install\n    58→\n    59→# Build for production\n    60→npm run build\n    61→\n    62→# Development mode with watch\n    63→npm run dev\n    64→```\n    65→\n    66→### Running\n    67→\n    68→```bash\n    69→# Initialize database and create admin user\n    70→./cc-backend -init-db -add-user demo:admin:demo\n    71→\n    72→# Start server in development mode (enables GraphQL Playground and Swagger UI)\n    73→./cc-backend -server -dev -loglevel info\n    74→\n    75→# Start demo with sample data\n    76→./startDemo.sh\n    77→```\n    78→\n    79→## Architecture\n    80→\n    81→### Backend Structure\n    82→\n    83→The backend follows a layered architecture with clear separation of concerns:\n    84→\n    85→- **cmd/cc-backend**: Entry point, orchestrates initialization of all subsystems\n    86→- **internal/repository**: Data access layer using repository pattern\n    87→  - Abstracts database operations (SQLite3 only)\n    88→  - Implements LRU caching for performance\n    89→  - Provides repositories for Job, User, Node, and Tag entities\n    90→  - Transaction support for batch operations\n    91→- **internal/api**: REST API endpoints (Swagger/OpenAPI documented)\n    92→- **internal/graph**: GraphQL API (uses gqlgen)\n    93→  - Schema in `api/schema.graphqls`\n    94→  - Generated code in `internal/graph/generated/`\n    95→  - Resolvers in `internal/graph/schema.resolvers.go`\n    96→- **internal/auth**: Authentication layer\n    97→  - Supports local accounts, LDAP, OIDC, and JWT tokens\n    98→  - Implements rate limiting for login attempts\n    99→- **pkg/metricstore**: Metric store with data loading API\n   100→  - In-memory metric storage with checkpointing\n   101→  - Query API for loading job metric data\n   102→- **internal/archiver**: Job archiving to file-based archive\n   103→- **internal/api/nats.go**: NATS-based API for job and node operations\n   104→  - Subscribes to NATS subjects for job events (start/stop)\n   105→  - Handles node state updates via NATS\n   106→  - Uses InfluxDB line protocol message format\n   107→- **pkg/archive**: Job archive backend implementations\n   108→  - File system backend (default)\n   109→  - S3 backend\n   110→  - SQLite backend (experimental)\n   111→  - **parquet** sub-package: Parquet format support (schema, reader, writer, conversion)\n   112→- **internal/metricstoreclient**: Client for cc-metric-store queries\n   113→\n   114→### Frontend Structure\n   115→\n   116→- **web/frontend**: Svelte 5 application\n   117→  - Uses Rollup for building\n   118→  - Components organized by feature (analysis, job, user, etc.)\n   119→  - GraphQL client using @urql/svelte\n   120→  - Bootstrap 5 + SvelteStrap for UI\n   121→  - uPlot for time-series visualization\n   122→- **web/templates**: Server-side Go templates\n   123→\n   124→### Key Concepts\n   125→\n   126→**Job Archive**: Completed jobs are stored in a file-based archive following the\n   127→[ClusterCockpit job-archive\n   128→specification](https://github.com/ClusterCockpit/cc-specifications/tree/master/job-archive).\n   129→Each job has a `meta.json` file with metadata and metric data files.\n   130→\n   131→**Metric Data Repositories**: Time-series metric data is stored separately from\n   132→job metadata. The system supports multiple backends (cc-metric-store is\n   133→recommended). Configuration is per-cluster in `config.json`.\n   134→\n   135→**Authentication Flow**:\n   136→\n   137→1. Multiple authenticators can be configured (local, LDAP, OIDC, JWT)\n   138→2. Each authenticator's `CanLogin` method is called to determine if it should handle the request\n   139→3. The first authenticator that returns true performs the actual `Login`\n   140→4. JWT tokens are used for API authentication\n   141→\n   142→**Database Migrations**: SQL migrations in `internal/repository/migrations/sqlite3/` are\n   143→applied automatically on startup. Version tracking in `version` table.\n   144→\n   145→**Scopes**: Metrics can be collected at different scopes:\n   146→\n   147→- Node scope (always available)\n   148→- Core scope (for jobs with ≤8 nodes)\n   149→- Accelerator scope (for GPU/accelerator metrics)\n   150→\n   151→## Configuration\n   152→\n   153→- **config.json**: Main configuration (clusters, metric repositories, archive settings)\n   154→  - `main.apiSubjects`: NATS subject configuration (optional)\n   155→    - `subjectJobEvent`: Subject for job start/stop events (e.g., \"cc.job.event\")\n   156→    - `subjectNodeState`: Subject for node state updates (e.g., \"cc.node.state\")\n   157→  - `nats`: NATS client connection configuration (optional)\n   158→    - `address`: NATS server address (e.g., \"nats://localhost:4222\")\n   159→    - `username`: Authentication username (optional)\n   160→    - `password`: Authentication password (optional)\n   161→    - `creds-file-path`: Path to NATS credentials file (optional)\n   162→- **.env**: Environment variables (secrets like JWT keys)\n   163→  - Copy from `configs/env-template.txt`\n   164→  - NEVER commit this file\n   165→- **cluster.json**: Cluster topology and metric definitions (loaded from archive or config)\n   166→\n   167→## Database\n   168→\n   169→- Default: SQLite 3 (`./var/job.db`)\n   170→- Connection managed by `internal/repository`\n   171→- Schema version in `internal/repository/migration.go`\n   172→\n   173→## Code Generation\n   174→\n   175→**GraphQL** (gqlgen):\n   176→\n   177→- Schema: `api/schema.graphqls`\n   178→- Config: `gqlgen.yml`\n   179→- Generated code: `internal/graph/generated/`\n   180→- Custom resolvers: `internal/graph/schema.resolvers.go`\n   181→- Run `make graphql` after schema changes\n   182→\n   183→**Swagger/OpenAPI**:\n   184→\n   185→- Annotations in `internal/api/*.go`\n   186→- Generated docs: `internal/api/docs.go`, `api/swagger.yaml`\n   187→- Run `make swagger` after API changes\n   188→\n   189→## Testing Conventions\n   190→\n   191→- Test files use `_test.go` suffix\n   192→- Test data in `testdata/` subdirectories\n   193→- Repository tests use in-memory SQLite\n   194→- API tests use httptest\n   195→\n   196→## Common Workflows\n   197→\n   198→### Adding a new GraphQL field\n   199→\n   200→1. Edit schema in `api/schema.graphqls`\n   201→2. Run `make graphql`\n   202→3. Implement resolver in `internal/graph/schema.resolvers.go`\n   203→\n   204→### Adding a new REST endpoint\n   205→\n   206→1. Add handler in `internal/api/*.go`\n   207→2. Add route in `internal/api/rest.go`\n   208→3. Add Swagger annotations\n   209→4. Run `make swagger`\n   210→\n   211→### Adding a new metric data backend\n   212→\n   213→1. Implement metric loading functions in `pkg/metricstore/query.go`\n   214→2. Add cluster configuration to metric store initialization\n   215→3. Update config.json schema documentation\n   216→\n   217→### Modifying database schema\n   218→\n   219→1. Create new migration in `internal/repository/migrations/sqlite3/`\n   220→2. Increment `repository.Version`\n   221→3. Test with fresh database and existing database\n   222→\n   223→## NATS API\n   224→\n   225→The backend supports a NATS-based API as an alternative to the REST API for job and node operations.\n   226→\n   227→### Setup\n   228→\n   229→1. Configure NATS client connection in `config.json`:\n   230→   ```json\n   231→   {\n   232→     \"nats\": {\n   233→       \"address\": \"nats://localhost:4222\",\n   234→       \"username\": \"user\",\n   235→       \"password\": \"pass\"\n   236→     }\n   237→   }\n   238→   ```\n   239→\n   240→2. Configure API subjects in `config.json` under `main`:\n   241→   ```json\n   242→   {\n   243→     \"main\": {\n   244→       \"apiSubjects\": {\n   245→         \"subjectJobEvent\": \"cc.job.event\",\n   246→         \"subjectNodeState\": \"cc.node.state\"\n   247→       }\n   248→     }\n   249→   }\n   250→   ```\n   251→\n   252→### Message Format\n   253→\n   254→Messages use **InfluxDB line protocol** format with the following structure:\n   255→\n   256→#### Job Events\n   257→\n   258→**Start Job:**\n   259→```\n   260→job,function=start_job event=\"{\\\"jobId\\\":123,\\\"user\\\":\\\"alice\\\",\\\"cluster\\\":\\\"test\\\", ...}\" 1234567890000000000\n   261→```\n   262→\n   263→**Stop Job:**\n   264→```\n   265→job,function=stop_job event=\"{\\\"jobId\\\":123,\\\"cluster\\\":\\\"test\\\",\\\"startTime\\\":1234567890,\\\"stopTime\\\":1234571490,\\\"jobState\\\":\\\"completed\\\"}\" 1234571490000000000\n   266→```\n   267→\n   268→**Tags:**\n   269→- `function`: Either `start_job` or `stop_job`\n   270→\n   271→**Fields:**\n   272→- `event`: JSON payload containing job data (see REST API documentation for schema)\n   273→\n   274→#### Node State Updates\n   275→\n   276→```json\n   277→{\n   278→  \"cluster\": \"testcluster\",\n   279→  \"nodes\": [\n   280→    {\n   281→      \"hostname\": \"node001\",\n   282→      \"states\": [\"allocated\"],\n   283→      \"cpusAllocated\": 8,\n   284→      \"memoryAllocated\": 16384,\n   285→      \"gpusAllocated\": 0,\n   286→      \"jobsRunning\": 1\n   287→    }\n   288→  ]\n   289→}\n   290→```\n   291→\n   292→### Implementation Notes\n   293→\n   294→- NATS API mirrors REST API functionality but uses messaging\n   295→- Job start/stop events are processed asynchronously\n   296→- Duplicate job detection is handled (same as REST API)\n   297→- All validation rules from REST API apply\n   298→- Messages are logged; no responses are sent back to publishers\n   299→- If NATS client is unavailable, API subscriptions are skipped (logged as warning)\n   300→\n   301→## Dependencies\n   302→\n   303→- Go 1.24.0+ (check go.mod for exact version)\n   304→- Node.js (for frontend builds)\n   305→- SQLite 3 (only supported database)\n   306→- Optional: NATS server for NATS API integration\n   307→"}]},"uuid":"ca981386-ad06-41bd-82c4-920ae55cf4e9","timestamp":"2026-03-16T11:10:21.063Z"},"type":"agent_progress","prompt":"","agentId":"a379ecc75bfa5944a"},"toolUseID":"agent_msg_01E84TDzstrH6QPmN3FXDjnM","parentToolUseID":"toolu_01RfjwLRZ45KeNLSLxTFWg82","uuid":"00660aa6-ec54-495b-9dc5-c169d2015907","timestamp":"2026-03-16T11:10:21.078Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
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+{"parentUuid":"2bc6af97-2c34-44ca-a321-12fb8d0b6753","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BdUif4HZCX1M4wBk6NDgHp","type":"tool_result","content":"     1→# NOTE\n     2→\n     3→While we do our best to keep the master branch in a usable state, there is no guarantee the master branch works.\n     4→Please do not use it for production!\n     5→\n     6→Please have a look at the [Release\n     7→Notes](https://github.com/ClusterCockpit/cc-backend/blob/master/ReleaseNotes.md)\n     8→for breaking changes!\n     9→\n    10→# ClusterCockpit REST and GraphQL API backend\n    11→\n    12→[![Build](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml/badge.svg)](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml)\n    13→\n    14→This is a Golang backend implementation for a REST and GraphQL API according to\n    15→the [ClusterCockpit\n    16→specifications](https://github.com/ClusterCockpit/cc-specifications). It also\n    17→includes a web interface for ClusterCockpit. This implementation replaces the\n    18→previous PHP Symfony based ClusterCockpit web interface. The reasons for\n    19→switching from PHP Symfony to a Golang based solution are explained\n    20→[here](https://github.com/ClusterCockpit/ClusterCockpit/wiki/Why-we-switched-from-PHP-Symfony-to-a-Golang-based-solution).\n    21→\n    22→## Overview\n    23→\n    24→This is a Golang web backend for the ClusterCockpit job-specific performance\n    25→monitoring framework. It provides a REST API and an optional NATS-based messaging\n    26→API for integrating ClusterCockpit with an HPC cluster batch system and external\n    27→analysis scripts. Data exchange between the web front-end and the back-end is\n    28→based on a GraphQL API. The web frontend is also served by the backend using\n    29→[Svelte](https://svelte.dev/) components. Layout and styling are based on\n    30→[Bootstrap 5](https://getbootstrap.com/) using\n    31→[Bootstrap Icons](https://icons.getbootstrap.com/).\n    32→\n    33→The backend uses [SQLite 3](https://sqlite.org/) as the relational SQL database.\n    34→While there are metric data backends for the InfluxDB and Prometheus time series\n    35→databases, the only tested and supported setup is to use cc-metric-store as the\n    36→metric data backend. Documentation on how to integrate ClusterCockpit with other\n    37→time series databases will be added in the future.\n    38→\n    39→For real-time integration with HPC systems, the backend can subscribe to\n    40→[NATS](https://nats.io/) subjects to receive job start/stop events and node\n    41→state updates, providing an alternative to REST API polling.\n    42→\n    43→Completed batch jobs are stored in a file-based job archive according to\n    44→[this specification](https://github.com/ClusterCockpit/cc-specifications/tree/master/job-archive).\n    45→The backend supports authentication via local accounts, an external LDAP\n    46→directory, and JWT tokens. Authorization for APIs is implemented with\n    47→[JWT](https://jwt.io/) tokens created with public/private key encryption.\n    48→\n    49→You find a detailed documentation on the [ClusterCockpit\n    50→Webpage](https://clustercockpit.org).\n    51→\n    52→## Build requirements\n    53→\n    54→ClusterCockpit requires a current version of the golang toolchain and node.js.\n    55→You can check `go.mod` to see what is the current minimal golang version needed.\n    56→Homebrew and Archlinux usually have current golang versions. For other Linux\n    57→distros this often means that you have to install the golang compiler yourself.\n    58→Fortunately, this is easy with golang. Since much of the functionality is based\n    59→on the Go standard library, it is crucial for security and performance to use a\n    60→current version of golang. In addition, an old golang toolchain may limit the supported\n    61→versions of third-party packages.\n    62→\n    63→## How to try ClusterCockpit with a demo setup\n    64→\n    65→We provide a shell script that downloads demo data and automatically starts the\n    66→cc-backend. You will need `wget`, `go`, `node`, `npm` in your path to\n    67→start the demo. The demo downloads 32MB of data (223MB on disk).\n    68→\n    69→```sh\n    70→git clone https://github.com/ClusterCockpit/cc-backend.git\n    71→cd ./cc-backend\n    72→./startDemo.sh\n    73→```\n    74→\n    75→You can also try the demo using the latest release binary.\n    76→Create a folder and put the release binary `cc-backend` into this folder.\n    77→Execute the following steps:\n    78→\n    79→```shell\n    80→./cc-backend -init\n    81→vim config.json (Add a second cluster entry and name the clusters alex and fritz)\n    82→wget https://hpc-mover.rrze.uni-erlangen.de/HPC-Data/0x7b58aefb/eig7ahyo6fo2bais0ephuf2aitohv1ai/job-archive-demo.tar\n    83→tar xf job-archive-demo.tar\n    84→./cc-backend -init-db -add-user demo:admin:demo -loglevel info\n    85→./cc-backend -server -dev -loglevel info\n    86→```\n    87→\n    88→You can access the web interface at [http://localhost:8080](http://localhost:8080).\n    89→Credentials for login are `demo:demo`.\n    90→Please note that some views do not work without a metric backend (e.g., the\n    91→Analysis, Systems and Status views).\n    92→\n    93→## How to build and run\n    94→\n    95→There is a Makefile to automate the build of cc-backend. The Makefile supports\n    96→the following targets:\n    97→\n    98→- `make`: Initialize `var` directory and build svelte frontend and backend\n    99→  binary. Note that there is no proper prerequisite handling. Any change of\n   100→  frontend source files will result in a complete rebuild.\n   101→- `make clean`: Clean go build cache and remove binary.\n   102→- `make test`: Run the tests that are also run in the GitHub workflow setup.\n   103→\n   104→A common workflow for setting up cc-backend from scratch is:\n   105→\n   106→```sh\n   107→git clone https://github.com/ClusterCockpit/cc-backend.git\n   108→\n   109→# Build binary\n   110→cd ./cc-backend/\n   111→make\n   112→\n   113→# EDIT THE .env FILE BEFORE YOU DEPLOY (Change the secrets)!\n   114→# If authentication is disabled, it can be empty.\n   115→cp configs/env-template.txt  .env\n   116→vim .env\n   117→\n   118→cp configs/config.json .\n   119→vim config.json\n   120→\n   121→#Optional: Link an existing job archive:\n   122→ln -s <your-existing-job-archive> ./var/job-archive\n   123→\n   124→# This will first initialize the job.db database by traversing all\n   125→# `meta.json` files in the job-archive and add a new user.\n   126→./cc-backend -init-db -add-user <your-username>:admin:<your-password>\n   127→\n   128→# Start a HTTP server (HTTPS can be enabled in the configuration, the default port is 8080).\n   129→# The --dev flag enables GraphQL Playground (http://localhost:8080/playground) and Swagger UI (http://localhost:8080/swagger).\n   130→./cc-backend -server  -dev\n   131→\n   132→# Show other options:\n   133→./cc-backend -help\n   134→```\n   135→\n   136→## Database Configuration\n   137→\n   138→cc-backend uses SQLite as its database. For large installations, SQLite memory\n   139→usage can be tuned via the optional `db-config` section in config.json under\n   140→`main`:\n   141→\n   142→```json\n   143→{\n   144→  \"main\": {\n   145→    \"db\": \"./var/job.db\",\n   146→    \"db-config\": {\n   147→      \"cache-size-mb\": 2048,\n   148→      \"soft-heap-limit-mb\": 16384,\n   149→      \"max-open-connections\": 4,\n   150→      \"max-idle-connections\": 4,\n   151→      \"max-idle-time-minutes\": 10,\n   152→      \"busy-timeout-ms\": 60000\n   153→    }\n   154→  }\n   155→}\n   156→```\n   157→\n   158→All fields are optional. If `db-config` is omitted entirely, built-in defaults\n   159→are used.\n   160→\n   161→### Options\n   162→\n   163→| Option                  | Default | Description                                                                                                                                                                             |\n   164→| ----------------------- | ------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n   165→| `cache-size-mb`         | 2048    | SQLite page cache size per connection in MB. Maps to `PRAGMA cache_size`. Total cache memory is up to `cache-size-mb × max-open-connections`.                                           |\n   166→| `soft-heap-limit-mb`    | 16384   | Process-wide SQLite soft heap limit in MB. SQLite will try to release cache pages to stay under this limit. Queries won't fail if exceeded, but cache eviction becomes more aggressive. |\n   167→| `max-open-connections`  | 4       | Maximum number of open database connections.                                                                                                                                            |\n   168→| `max-idle-connections`  | 4       | Maximum number of idle database connections kept in the pool.                                                                                                                           |\n   169→| `max-idle-time-minutes` | 10      | Maximum time in minutes a connection can sit idle before being closed.                                                                                                                  |\n   170→| `busy-timeout-ms`       | 60000   | SQLite busy timeout in milliseconds. When a write is blocked by another writer, SQLite retries internally with backoff for up to this duration before returning `SQLITE_BUSY`.          |\n   171→\n   172→### Sizing Guidelines\n   173→\n   174→SQLite's `cache_size` is a **per-connection** setting — each connection\n   175→maintains its own independent page cache. With multiple connections, the total\n   176→memory available for caching is the sum across all connections.\n   177→\n   178→In practice, different connections tend to cache **different pages** (e.g., one\n   179→handles a job listing query while another runs a statistics aggregation), so\n   180→their caches naturally spread across the database. The formula\n   181→`DB_size / max-open-connections` gives enough per-connection cache that the\n   182→combined caches can cover the entire database.\n   183→\n   184→However, this is a best-case estimate. Connections running similar queries will\n   185→cache the same pages redundantly. In the worst case (all connections caching\n   186→identical pages), only `cache-size-mb` worth of unique data is cached rather\n   187→than `cache-size-mb × max-open-connections`. For workloads with diverse\n   188→concurrent queries, cache overlap is typically low.\n   189→\n   190→**Rules of thumb:**\n   191→\n   192→- **cache-size-mb**: Set to `DB_size_in_MB / max-open-connections` to allow the\n   193→  entire database to be cached in memory. For example, an 80GB database with 8\n   194→  connections needs at least 10240 MB (10GB) per connection. If your workload\n   195→  has many similar concurrent queries, consider setting it higher to account for\n   196→  cache overlap between connections.\n   197→\n   198→- **soft-heap-limit-mb**: Should be >= `cache-size-mb × max-open-connections` to\n   199→  avoid cache thrashing. This is the total SQLite memory budget for the process.\n   200→- On small installations the defaults work well. 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Depending on your database size (more then 40GB) the\n    12→`VACUUM` may take up to 2h.\n    13→\n    14→## Known issues\n    15→\n    16→- The new dynamic memory management is not bullet proof yet across restarts.\n    17→  Buffers that are kept outside the retention period may be lost across a\n    18→  restart. We will fix that in a subsequent patch release.\n    19→- To use the new log viewer (which is only working when starting cc-backend with\n    20→  systemd) in the admin interface the user under which the cc-backend process is\n    21→  running has to be allowed to execute the journalctl command.\n    22→- The user configuration keys for the ui have changed. Therefore old user\n    23→  configuration persisted in the database is not used anymore. It is recommended\n    24→  to configure the metrics shown in the ui-config sestion and remove all records\n    25→  in the table after the update.\n    26→- Currently energy footprint metrics of type energy are ignored for calculating\n    27→  total energy.\n    28→- With energy footprint metrics of type power the unit is ignored and it is\n    29→  assumed the metric has the unit Watt.\n    30→\n    31→## Changes in 1.5.1\n    32→\n    33→### Database\n    34→\n    35→- **New migration (version 11)**: Optimized database index count and added covering indexes for stats queries for significantly improved query performance\n    36→- **Migration 9 fix**: Removed redundant indices from migration 9 that are superseded by migration 11\n    37→- **Optional DB optimization flag**: Added `-optimize-db` CLI flag to run `ANALYZE` on demand; removed automatic ANALYZE on startup\n    38→- **Selective stats queries**: Stats queries are now selective, reducing unnecessary computation\n    39→- **User list paging**: Added paging support to the user list for better scalability\n    40→- **SQLite configuration hardening**: Sanitized SQLite configuration with new configurable options; fixes large heap allocations in the SQLite driver\n    41→- **Query cancellation**: Long-running database queries can now be cancelled\n    42→- **Resource leak fix**: Added missing `defer Close()` calls for all query result sets\n    43→\n    44→### Bug fixes\n    45→\n    46→- **Segfault when taggers misconfigured**: Fixed crash when `enable-job-taggers` is set but tagger rule directories are missing\n    47→- **GroupBy stats query complexity**: Reduced complexity for `groupBy` statistics queries\n    48→- **Ranged filter conditions**: Fixed GT and LT conditions in ranged filters\n    49→- **Energy filter preset**: Reduced energy filter preset to a more practical default\n    50→- **JSON validity check**: Fixed wrong field being checked for JSON validity\n    51→- **Tagger float rounding**: Fixed rounding of floats in tagger messages\n    52→- **Node view null safety**: Added null-safe checks in node view to prevent runtime errors\n    53→- **Public dashboard null safety**: Added null-safe checks in the public dashboard to prevent runtime errors\n    54→\n    55→### Frontend\n    56→\n    57→- **Bumped patch versions**: Updated frontend dependencies to latest patch versions\n    58→\n    59→### Documentation\n    60→\n    61→- **New DB config options**: Added new database configuration options to README\n    62→\n    63→---\n    64→\n    65→_The sections below document all features and changes introduced in the 1.5.0 major release, which 1.5.1 is based on._\n    66→\n    67→## Breaking changes\n    68→\n    69→### Configuration changes\n    70→\n    71→- **JSON attribute naming**: All JSON configuration attributes now use `kebab-case`\n    72→  style consistently (e.g., `api-allowed-ips` instead of `apiAllowedIPs`).\n    73→  Update your `config.json` accordingly.\n    74→- **Removed `disable-archive` option**: This obsolete configuration option has been removed.\n    75→- **Removed `clusters` config section**: The separate clusters configuration section\n    76→  has been removed. Cluster information is now derived from the job archive.\n    77→- **`apiAllowedIPs` is now optional**: If not specified, defaults to not\n    78→  restricted.\n    79→\n    80→### Architecture changes\n    81→\n    82→- **Web framework replaced**: Migrated from `gorilla/mux` to `chi` as the HTTP\n    83→  router. This should be transparent to users but affects how middleware and\n    84→  routes are composed. A proper 404 handler is now in place.\n    85→- **MetricStore moved**: The `metricstore` package has been moved from `internal/`\n    86→  to `pkg/` as it is now part of the public API.\n    87→- **MySQL/MariaDB support removed**: Only SQLite is now supported as the database backend.\n    88→- **Archive to Cleanup renaming**: Archive-related functions have been refactored\n    89→  and renamed to \"Cleanup\" for clarity.\n    90→- **`minRunningFor` filter removed**: This undocumented filter has been removed\n    91→  from the API and frontend.\n    92→\n    93→### Dependency changes\n    94→\n    95→- **cc-lib v2.8.0**: Switched to cc-lib version 2 with updated APIs\n    96→- **cclib NATS client**: Now using the cclib NATS client implementation\n    97→- Removed obsolete `util.Float` usage from cclib\n    98→\n    99→## Major new features\n   100→\n   101→### NATS API Integration\n   102→\n   103→- **Real-time job events**: Subscribe to job start/stop events via NATS\n   104→- **Node state updates**: Receive real-time node state changes via NATS\n   105→- **Configurable subjects**: NATS API subjects are now configurable via `api-subjects`\n   106→- **Deadlock fixes**: Improved NATS client stability and graceful shutdown\n   107→\n   108→### Public Dashboard\n   109→\n   110→- **Public-facing interface**: New public dashboard route for external users\n   111→- **DoubleMetricPlot component**: New visualization component for comparing metrics\n   112→- **Improved layout**: Reviewed and optimized dashboard layouts for better readability\n   113→\n   114→### Enhanced Node Management\n   115→\n   116→- **Node state tracking**: New node table in database with timestamp tracking\n   117→- **Node state filtering**: Filter jobs by node state in systems view\n   118→- **Node list enhancements**: Improved paging, filtering, and continuous scroll support\n   119→- **Nodestate retention and archiving**: Node state data is now subject to configurable\n   120→  retention policies and can be archived to Parquet format for long-term storage\n   121→- **Faulty node metric tracking**: Faulty node state metric lists are persisted to the database\n   122→\n   123→### Health Monitoring\n   124→\n   125→- **Health status dashboard**: New dedicated \"Health\" tab in the status details view\n   126→  showing per-node metric health across the cluster\n   127→- **CCMS health check**: Support for querying health status of external\n   128→  cc-metric-store (CCMS) instances via the API\n   129→- **GraphQL health endpoints**: New GraphQL queries and resolvers for health data\n   130→- **Cluster/subcluster filter**: Filter health status view by cluster or subcluster\n   131→\n   132→### Log Viewer\n   133→\n   134→- **Web-based log viewer**: New log viewer page in the admin interface for inspecting\n   135→  backend log output directly from the browser without shell access\n   136→- **Accessible from header**: Quick access link from the navigation header\n   137→\n   138→### MetricStore Improvements\n   139→\n   140→- **Memory tracking worker**: New worker for CCMS memory usage tracking\n   141→- **Dynamic retention**: Support for job specific dynamic retention times\n   142→- **Improved compression**: Transparent compression for job archive imports\n   143→- **Parallel processing**: Parallelized Iter function in all archive backends\n   144→\n   145→### Job Tagging System\n   146→\n   147→- **Job tagger option**: Enable automatic job tagging via configuration flag\n   148→- **Application detection**: Automatic detection of applications (MATLAB, GROMACS, etc.)\n   149→- **Job classification**: Automatic detection of pathological jobs\n   150→- **omit-tagged**: Option to exclude tagged jobs from retention/cleanup operations (`none`, `all`, or `user`)"}]},"uuid":"111e48df-dc90-4b28-90ae-374d3c2d85db","timestamp":"2026-03-16T11:10:26.040Z"},"type":"agent_progress","prompt":"","agentId":"a379ecc75bfa5944a"},"toolUseID":"agent_msg_01E84TDzstrH6QPmN3FXDjnM","parentToolUseID":"toolu_01RfjwLRZ45KeNLSLxTFWg82","uuid":"ad79a261-48bb-44a9-930a-94a01ecafb52","timestamp":"2026-03-16T11:10:26.371Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
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Applies to user- and jobs views.\",\n    13→      \"type\": \"object\",\n    14→      \"properties\": {\n    15→        \"use-paging\": {\n    16→          \"description\": \"If classic paging is used instead of continuous scrolling by default.\",\n    17→          \"type\": \"boolean\"\n    18→        },\n    19→        \"show-footprint\": {\n    20→          \"description\": \"If footprint bars are shown as first column by default.\",\n    21→          \"type\": \"boolean\"\n    22→        }\n    23→      }\n    24→    },\n    25→    \"node-list\": {\n    26→      \"description\": \"Node list defaults. Applies to node list view.\",\n    27→      \"type\": \"object\",\n    28→      \"properties\": {\n    29→        \"use-paging\": {\n    30→          \"description\": \"If classic paging is used instead of continuous scrolling by default.\",\n    31→          \"type\": \"boolean\"\n    32→        }\n    33→      }\n    34→    },\n    35→    \"job-view\": {\n    36→      \"description\": \"Job view defaults.\",\n    37→      \"type\": \"object\",\n    38→      \"properties\": {\n    39→        \"show-polar-plot\": {\n    40→          \"description\": \"If the job metric footprints polar plot is shown by default.\",\n    41→          \"type\": \"boolean\"\n    42→        },\n    43→        \"show-footprint\": {\n    44→          \"description\": \"If the annotated job metric footprint bars are shown by default.\",\n    45→          \"type\": \"boolean\"\n    46→        },\n    47→        \"show-roofline\": {\n    48→          \"description\": \"If the job roofline plot is shown by default.\",\n    49→          \"type\": \"boolean\"\n    50→        },\n    51→        \"show-stat-table\": {\n    52→          \"description\": \"If the job metric statistics table is shown by default.\",\n    53→          \"type\": \"boolean\"\n    54→        }\n    55→      }\n    56→    },\n    57→    \"metric-config\": {\n    58→      \"description\": \"Global initial metric selections for primary views of all clusters.\",\n    59→      \"type\": \"object\",\n    60→      \"properties\": {\n    61→        \"job-list-metrics\": {\n    62→          \"description\": \"Initial metrics shown for new users in job lists (User and jobs view).\",\n    63→          \"type\": \"array\",\n    64→          \"items\": {\n    65→            \"type\": \"string\",\n    66→            \"minItems\": 1\n    67→          }\n    68→        },\n    69→        \"job-view-plot-metrics\": {\n    70→          \"description\": \"Initial metrics shown for new users as job view metric plots.\",\n    71→          \"type\": \"array\",\n    72→          \"items\": {\n    73→            \"type\": \"string\",\n    74→            \"minItems\": 1\n    75→          }\n    76→        },\n    77→        \"job-view-table-metrics\": {\n    78→          \"description\": \"Initial metrics shown for new users in job view statistics table.\",\n    79→          \"type\": \"array\",\n    80→          \"items\": {\n    81→            \"type\": \"string\",\n    82→            \"minItems\": 1\n    83→          }\n    84→        },\n    85→        \"clusters\": {\n    86→          \"description\": \"Overrides for global defaults by cluster and subcluster.\",\n    87→          \"type\": \"array\",\n    88→          \"items\": {\n    89→            \"type\": \"object\",\n    90→            \"properties\": {\n    91→              \"name\": {\n    92→                \"description\": \"The name of the cluster.\"\n    93→              },\n    94→              \"job-list-metrics\": {\n    95→                \"description\": \"Initial metrics shown for new users in job lists (User and jobs view) for subcluster.\",\n    96→                \"type\": \"array\",\n    97→                \"items\": {\n    98→                  \"type\": \"string\",\n    99→                  \"minItems\": 1\n   100→                }"}]},"uuid":"7157ecfb-5838-48d3-b6b3-f74079f00b1f","timestamp":"2026-03-16T11:10:36.045Z"},"type":"agent_progress","prompt":"","agentId":"a379ecc75bfa5944a"},"toolUseID":"agent_msg_01E84TDzstrH6QPmN3FXDjnM","parentToolUseID":"toolu_01RfjwLRZ45KeNLSLxTFWg82","uuid":"4f7d33c6-8bc4-4c2e-b59a-655457cf0e81","timestamp":"2026-03-16T11:10:36.108Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
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+{"parentUuid":"4b4a5be9-ee44-4d17-88ba-c2f0f03f5ac0","isSidechain":false,"promptId":"424bb283-9622-4c78-ab8d-57d55b32d949","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RfjwLRZ45KeNLSLxTFWg82","type":"tool_result","content":[{"type":"text","text":"Perfect! Now I have a complete picture. Let me compile my findings:\n\n## Summary of NATS Configuration Documentation and Config Schema\n\nI've thoroughly searched the cc-backend repository and found all NATS-related configuration documentation and schema definitions. Here are the key findings:\n\n### 1. **Main Config Struct Definition**\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go` (lines 117-122)\n\nThe `NATSConfig` struct defines NATS API subject configuration:\n```go\ntype NATSConfig struct {\n\tSubjectJobEvent  string `json:\"subject-job-event\"`\n\tSubjectNodeState string `json:\"subject-node-state\"`\n\tJobConcurrency   int    `json:\"job-concurrency\"`\n\tNodeConcurrency  int    `json:\"node-concurrency\"`\n}\n```\n\nLocated in the `ProgramConfig` struct at line 25:\n```go\nAPISubjects *NATSConfig `json:\"api-subjects\"`\n```\n\n### 2. **JSON Schema Definition**\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/schema.go` (lines 113-127)\n\nDefines the JSON schema for `api-subjects` configuration:\n```json\n\"api-subjects\": {\n  \"description\": \"NATS subjects configuration for subscribing to job and node events.\",\n  \"type\": \"object\",\n  \"properties\": {\n    \"subject-job-event\": {\n      \"description\": \"NATS subject for job events (start_job, stop_job)\",\n      \"type\": \"string\"\n    },\n    \"subject-node-state\": {\n      \"description\": \"NATS subject for node state updates\",\n      \"type\": \"string\"\n    }\n  },\n  \"required\": [\"subject-job-event\", \"subject-node-state\"]\n}\n```\n\nAlso includes `db-config` schema (lines 181-210) for database tuning including `busy-timeout-ms`.\n\n### 3. **NATS API Implementation**\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go`\n\n- Comprehensive documentation in comments (lines 37-71) explaining InfluxDB line protocol message format\n- `NatsAPI` struct with job and node worker pools (lines 72-81)\n- `NewNatsAPI()` function (lines 85-113) using `JobConcurrency` and `NodeConcurrency` from config with defaults of 8 and 2\n- `StartSubscriptions()` method (lines 132-157) that subscribes to configured subjects\n\n### 4. **Example Configuration Files**\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/configs/config.json` (lines 21-24)\n```json\n\"api-subjects\": {\n  \"subject-job-event\": \"cc.job.event\",\n  \"subject-node-state\": \"cc.node.state\"\n}\n```\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/configs/config.json` (lines 26-29) - NATS client configuration:\n```json\n\"nats\": {\n  \"address\": \"nats://0.0.0.0:4222\",\n  \"username\": \"root\",\n  \"password\": \"root\"\n}\n```\n\n### 5. **Comprehensive Documentation**\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/CLAUDE.md` (lines 223-307)\n\nComplete \"NATS API\" section covering:\n- Setup instructions (config.json sections for NATS client and API subjects)\n- Message format (InfluxDB line protocol)\n- Job events (start/stop)\n- Node state updates\n- Implementation notes\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/README.md` (lines 25-26, 39-41)\n\nReferences to NATS integration for real-time job/node updates\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/ReleaseNotes.md` (lines 99-107)\n\nDocuments NATS API Integration as a major feature in v1.5.0\n\n### 6. **Tests**\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats_test.go`\n\nProvides test setup and examples of NATS API usage\n\n### Key Configuration Path\nThe configuration structure in config.json follows this hierarchy:\n```\nmain\n├── api-subjects (NATSConfig)\n│   ├── subject-job-event\n│   ├── subject-node-state\n│   ├── job-concurrency (optional, default: 8)\n│   └── node-concurrency (optional, default: 2)\nnats (separate NATS client connection config)\n├── address\n├── username\n└── password\n```\n\nAll files are absolute paths as listed above. The NATS configuration is optional - if not provided, the API subscriptions are skipped with a warning log."},{"type":"text","text":"agentId: a379ecc75bfa5944a (for resuming to continue this agent's work if needed)\n<usage>total_tokens: 56126\ntool_uses: 19\nduration_ms: 32302</usage>"}]}]},"uuid":"9718fa92-6617-42a0-a8cb-c34d3a27a267","timestamp":"2026-03-16T11:10:48.986Z","toolUseResult":{"status":"completed","prompt":"Find all files related to NATS configuration documentation and config schema in the cc-backend repository at /Users/jan/prg/ClusterCockpit/cc-backend. I'm looking for:\n\n1. Any config schema files (JSON schema, Go config structs) that define NATS-related configuration options\n2. Documentation files that describe NATS API functionality or configuration\n3. The config struct that defines APISubjects/NATSConfig\n\nSearch thoroughly - check configs/, docs/, internal/config/, CLAUDE.md, and any markdown or JSON schema files.","agentId":"a379ecc75bfa5944a","content":[{"type":"text","text":"Perfect! Now I have a complete picture. Let me compile my findings:\n\n## Summary of NATS Configuration Documentation and Config Schema\n\nI've thoroughly searched the cc-backend repository and found all NATS-related configuration documentation and schema definitions. Here are the key findings:\n\n### 1. **Main Config Struct Definition**\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go` (lines 117-122)\n\nThe `NATSConfig` struct defines NATS API subject configuration:\n```go\ntype NATSConfig struct {\n\tSubjectJobEvent  string `json:\"subject-job-event\"`\n\tSubjectNodeState string `json:\"subject-node-state\"`\n\tJobConcurrency   int    `json:\"job-concurrency\"`\n\tNodeConcurrency  int    `json:\"node-concurrency\"`\n}\n```\n\nLocated in the `ProgramConfig` struct at line 25:\n```go\nAPISubjects *NATSConfig `json:\"api-subjects\"`\n```\n\n### 2. **JSON Schema Definition**\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/schema.go` (lines 113-127)\n\nDefines the JSON schema for `api-subjects` configuration:\n```json\n\"api-subjects\": {\n  \"description\": \"NATS subjects configuration for subscribing to job and node events.\",\n  \"type\": \"object\",\n  \"properties\": {\n    \"subject-job-event\": {\n      \"description\": \"NATS subject for job events (start_job, stop_job)\",\n      \"type\": \"string\"\n    },\n    \"subject-node-state\": {\n      \"description\": \"NATS subject for node state updates\",\n      \"type\": \"string\"\n    }\n  },\n  \"required\": [\"subject-job-event\", \"subject-node-state\"]\n}\n```\n\nAlso includes `db-config` schema (lines 181-210) for database tuning including `busy-timeout-ms`.\n\n### 3. **NATS API Implementation**\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go`\n\n- Comprehensive documentation in comments (lines 37-71) explaining InfluxDB line protocol message format\n- `NatsAPI` struct with job and node worker pools (lines 72-81)\n- `NewNatsAPI()` function (lines 85-113) using `JobConcurrency` and `NodeConcurrency` from config with defaults of 8 and 2\n- `StartSubscriptions()` method (lines 132-157) that subscribes to configured subjects\n\n### 4. **Example Configuration Files**\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/configs/config.json` (lines 21-24)\n```json\n\"api-subjects\": {\n  \"subject-job-event\": \"cc.job.event\",\n  \"subject-node-state\": \"cc.node.state\"\n}\n```\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/configs/config.json` (lines 26-29) - NATS client configuration:\n```json\n\"nats\": {\n  \"address\": \"nats://0.0.0.0:4222\",\n  \"username\": \"root\",\n  \"password\": \"root\"\n}\n```\n\n### 5. **Comprehensive Documentation**\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/CLAUDE.md` (lines 223-307)\n\nComplete \"NATS API\" section covering:\n- Setup instructions (config.json sections for NATS client and API subjects)\n- Message format (InfluxDB line protocol)\n- Job events (start/stop)\n- Node state updates\n- Implementation notes\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/README.md` (lines 25-26, 39-41)\n\nReferences to NATS integration for real-time job/node updates\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/ReleaseNotes.md` (lines 99-107)\n\nDocuments NATS API Integration as a major feature in v1.5.0\n\n### 6. **Tests**\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats_test.go`\n\nProvides test setup and examples of NATS API usage\n\n### Key Configuration Path\nThe configuration structure in config.json follows this hierarchy:\n```\nmain\n├── api-subjects (NATSConfig)\n│   ├── subject-job-event\n│   ├── subject-node-state\n│   ├── job-concurrency (optional, default: 8)\n│   └── node-concurrency (optional, default: 2)\nnats (separate NATS client connection config)\n├── address\n├── username\n└── password\n```\n\nAll files are absolute paths as listed above. The NATS configuration is optional - if not provided, the API subscriptions are skipped with a warning log."}],"totalDurationMs":32302,"totalTokens":56126,"totalToolUseCount":19,"usage":{"input_tokens":5,"cache_creation_input_tokens":672,"cache_read_input_tokens":54219,"output_tokens":1230,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":672},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"4b4a5be9-ee44-4d17-88ba-c2f0f03f5ac0","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
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+{"parentUuid":"4e7d3142-c523-4ecb-896d-9abb5e85abd0","isSidechain":false,"promptId":"424bb283-9622-4c78-ab8d-57d55b32d949","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WQjw33obfcTuRseYxVyaDu","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package config implements the program configuration data structures, validation and parsing\n     7→package config\n     8→\n     9→import (\n    10→\t\"bytes\"\n    11→\t\"encoding/json\"\n    12→\t\"time\"\n    13→\n    14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    15→\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n    16→)\n    17→\n    18→type ProgramConfig struct {\n    19→\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n    20→\tAddr string `json:\"addr\"`\n    21→\n    22→\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n    23→\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n    24→\n    25→\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n    26→\n    27→\t// Drop root permissions once .env was read and the port was taken.\n    28→\tUser  string `json:\"user\"`\n    29→\tGroup string `json:\"group\"`\n    30→\n    31→\t// Disable authentication (for everything: API, Web-UI, ...)\n    32→\tDisableAuthentication bool `json:\"disable-authentication\"`\n    33→\n    34→\t// If `embed-static-files` is true (default), the frontend files are directly\n    35→\t// embeded into the go binary and expected to be in web/frontend. Only if\n    36→\t// it is false the files in `static-files` are served instead.\n    37→\tEmbedStaticFiles bool   `json:\"embed-static-files\"`\n    38→\tStaticFiles      string `json:\"static-files\"`\n    39→\n    40→\t// Path to SQLite database file\n    41→\tDB string `json:\"db\"`\n    42→\n    43→\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n    44→\n    45→\t// Validate json input against schema\n    46→\tValidate bool `json:\"validate\"`\n    47→\n    48→\t// If 0 or empty, the session does not expire!\n    49→\tSessionMaxAge string `json:\"session-max-age\"`\n    50→\n    51→\t// If both those options are not empty, use HTTPS using those certificates.\n    52→\tHTTPSCertFile string `json:\"https-cert-file\"`\n    53→\tHTTPSKeyFile  string `json:\"https-key-file\"`\n    54→\n    55→\t// If not the empty string and `addr` does not end in \":80\",\n    56→\t// redirect every request incoming at port 80 to that url.\n    57→\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n    58→\n    59→\t// Where to store MachineState files\n    60→\tMachineStateDir string `json:\"machine-state-dir\"`\n    61→\n    62→\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n    63→\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n    64→\n    65→\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n    66→\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n    67→\n    68→\t// Energy Mix CO2 Emission Constant [g/kWh]\n    69→\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n    70→\tEmissionConstant int `json:\"emission-constant\"`\n    71→\n    72→\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n    73→\tEnableResampling *ResampleConfig `json:\"resampling\"`\n    74→\n    75→\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n    76→\tSystemdUnit string `json:\"systemd-unit\"`\n    77→\n    78→\t// Node state retention configuration\n    79→\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n    80→\n    81→\t// Database tuning configuration\n    82→\tDbConfig *DbConfig `json:\"db-config\"`\n    83→}\n    84→\n    85→type DbConfig struct {\n    86→\tCacheSizeMB               int `json:\"cache-size-mb\"`\n    87→\tSoftHeapLimitMB           int `json:\"soft-heap-limit-mb\"`\n    88→\tMaxOpenConnections        int `json:\"max-open-connections\"`\n    89→\tMaxIdleConnections        int `json:\"max-idle-connections\"`\n    90→\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n    91→\tBusyTimeoutMs             int `json:\"busy-timeout-ms\"`\n    92→}\n    93→\n    94→type NodeStateRetention struct {\n    95→\tPolicy             string `json:\"policy\"`      // \"delete\" or \"move\"\n    96→\tAge                int    `json:\"age\"`         // hours, default 24\n    97→\tTargetKind         string `json:\"target-kind\"` // \"file\" or \"s3\"\n    98→\tTargetPath         string `json:\"target-path\"`\n    99→\tTargetEndpoint     string `json:\"target-endpoint\"`\n   100→\tTargetBucket       string `json:\"target-bucket\"`\n   101→\tTargetAccessKey    string `json:\"target-access-key\"`\n   102→\tTargetSecretKey    string `json:\"target-secret-key\"`\n   103→\tTargetRegion       string `json:\"target-region\"`\n   104→\tTargetUsePathStyle bool   `json:\"target-use-path-style\"`\n   105→\tMaxFileSizeMB      int    `json:\"max-file-size-mb\"`\n   106→}\n   107→\n   108→type ResampleConfig struct {\n   109→\t// Minimum number of points to trigger resampling of data\n   110→\tMinimumPoints int `json:\"minimum-points\"`\n   111→\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n   112→\tResolutions []int `json:\"resolutions\"`\n   113→\t// Trigger next zoom level at less than this many visible datapoints\n   114→\tTrigger int `json:\"trigger\"`\n   115→}\n   116→\n   117→type NATSConfig struct {\n   118→\tSubjectJobEvent  string `json:\"subject-job-event\"`\n   119→\tSubjectNodeState string `json:\"subject-node-state\"`\n   120→\tJobConcurrency   int    `json:\"job-concurrency\"`\n   121→\tNodeConcurrency  int    `json:\"node-concurrency\"`\n   122→}\n   123→\n   124→type IntRange struct {\n   125→\tFrom int `json:\"from\"`\n   126→\tTo   int `json:\"to\"`\n   127→}\n   128→\n   129→type TimeRange struct {\n   130→\tFrom  *time.Time `json:\"from\"`\n   131→\tTo    *time.Time `json:\"to\"`\n   132→\tRange string     `json:\"range,omitempty\"`\n   133→}\n   134→\n   135→type FilterRanges struct {\n   136→\tDuration  *IntRange  `json:\"duration\"`\n   137→\tNumNodes  *IntRange  `json:\"num-nodes\"`\n   138→\tStartTime *TimeRange `json:\"start-time\"`\n   139→}\n   140→\n   141→var Keys ProgramConfig = ProgramConfig{\n   142→\tAddr:                      \"localhost:8080\",\n   143→\tEmbedStaticFiles:          true,\n   144→\tDB:                        \"./var/job.db\",\n   145→\tSessionMaxAge:             \"168h\",\n   146→\tStopJobsExceedingWalltime: 0,\n   147→\tShortRunningJobsDuration:  5 * 60,\n   148→}\n   149→\n   150→func Init(mainConfig json.RawMessage) {\n   151→\tValidate(configSchema, mainConfig)\n   152→\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n   153→\tdec.DisallowUnknownFields()\n   154→\tif err := dec.Decode(&Keys); err != nil {\n   155→\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n   156→\t}\n   157→\n   158→\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n   159→\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n   160→\t}\n   161→}\n   162→"}]},"uuid":"b8ace8c0-9e24-42a3-b761-be00a0d5ea3d","timestamp":"2026-03-16T11:10:53.033Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package config implements the program configuration data structures, validation and parsing\npackage config\n\nimport (\n\t\"bytes\"\n\t\"encoding/json\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n)\n\ntype ProgramConfig struct {\n\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n\tAddr string `json:\"addr\"`\n\n\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n\n\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n\n\t// Drop root permissions once .env was read and the port was taken.\n\tUser  string `json:\"user\"`\n\tGroup string `json:\"group\"`\n\n\t// Disable authentication (for everything: API, Web-UI, ...)\n\tDisableAuthentication bool `json:\"disable-authentication\"`\n\n\t// If `embed-static-files` is true (default), the frontend files are directly\n\t// embeded into the go binary and expected to be in web/frontend. Only if\n\t// it is false the files in `static-files` are served instead.\n\tEmbedStaticFiles bool   `json:\"embed-static-files\"`\n\tStaticFiles      string `json:\"static-files\"`\n\n\t// Path to SQLite database file\n\tDB string `json:\"db\"`\n\n\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n\n\t// Validate json input against schema\n\tValidate bool `json:\"validate\"`\n\n\t// If 0 or empty, the session does not expire!\n\tSessionMaxAge string `json:\"session-max-age\"`\n\n\t// If both those options are not empty, use HTTPS using those certificates.\n\tHTTPSCertFile string `json:\"https-cert-file\"`\n\tHTTPSKeyFile  string `json:\"https-key-file\"`\n\n\t// If not the empty string and `addr` does not end in \":80\",\n\t// redirect every request incoming at port 80 to that url.\n\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n\n\t// Where to store MachineState files\n\tMachineStateDir string `json:\"machine-state-dir\"`\n\n\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n\n\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n\n\t// Energy Mix CO2 Emission Constant [g/kWh]\n\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n\tEmissionConstant int `json:\"emission-constant\"`\n\n\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n\tEnableResampling *ResampleConfig `json:\"resampling\"`\n\n\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n\tSystemdUnit string `json:\"systemd-unit\"`\n\n\t// Node state retention configuration\n\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n\n\t// Database tuning configuration\n\tDbConfig *DbConfig `json:\"db-config\"`\n}\n\ntype DbConfig struct {\n\tCacheSizeMB               int `json:\"cache-size-mb\"`\n\tSoftHeapLimitMB           int `json:\"soft-heap-limit-mb\"`\n\tMaxOpenConnections        int `json:\"max-open-connections\"`\n\tMaxIdleConnections        int `json:\"max-idle-connections\"`\n\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n\tBusyTimeoutMs             int `json:\"busy-timeout-ms\"`\n}\n\ntype NodeStateRetention struct {\n\tPolicy             string `json:\"policy\"`      // \"delete\" or \"move\"\n\tAge                int    `json:\"age\"`         // hours, default 24\n\tTargetKind         string `json:\"target-kind\"` // \"file\" or \"s3\"\n\tTargetPath         string `json:\"target-path\"`\n\tTargetEndpoint     string `json:\"target-endpoint\"`\n\tTargetBucket       string `json:\"target-bucket\"`\n\tTargetAccessKey    string `json:\"target-access-key\"`\n\tTargetSecretKey    string `json:\"target-secret-key\"`\n\tTargetRegion       string `json:\"target-region\"`\n\tTargetUsePathStyle bool   `json:\"target-use-path-style\"`\n\tMaxFileSizeMB      int    `json:\"max-file-size-mb\"`\n}\n\ntype ResampleConfig struct {\n\t// Minimum number of points to trigger resampling of data\n\tMinimumPoints int `json:\"minimum-points\"`\n\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n\tResolutions []int `json:\"resolutions\"`\n\t// Trigger next zoom level at less than this many visible datapoints\n\tTrigger int `json:\"trigger\"`\n}\n\ntype NATSConfig struct {\n\tSubjectJobEvent  string `json:\"subject-job-event\"`\n\tSubjectNodeState string `json:\"subject-node-state\"`\n\tJobConcurrency   int    `json:\"job-concurrency\"`\n\tNodeConcurrency  int    `json:\"node-concurrency\"`\n}\n\ntype IntRange struct {\n\tFrom int `json:\"from\"`\n\tTo   int `json:\"to\"`\n}\n\ntype TimeRange struct {\n\tFrom  *time.Time `json:\"from\"`\n\tTo    *time.Time `json:\"to\"`\n\tRange string     `json:\"range,omitempty\"`\n}\n\ntype FilterRanges struct {\n\tDuration  *IntRange  `json:\"duration\"`\n\tNumNodes  *IntRange  `json:\"num-nodes\"`\n\tStartTime *TimeRange `json:\"start-time\"`\n}\n\nvar Keys ProgramConfig = ProgramConfig{\n\tAddr:                      \"localhost:8080\",\n\tEmbedStaticFiles:          true,\n\tDB:                        \"./var/job.db\",\n\tSessionMaxAge:             \"168h\",\n\tStopJobsExceedingWalltime: 0,\n\tShortRunningJobsDuration:  5 * 60,\n}\n\nfunc Init(mainConfig json.RawMessage) {\n\tValidate(configSchema, mainConfig)\n\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&Keys); err != nil {\n\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n\t}\n\n\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n\t}\n}\n","numLines":162,"startLine":1,"totalLines":162}},"sourceToolAssistantUUID":"4e7d3142-c523-4ecb-896d-9abb5e85abd0","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
+{"parentUuid":"b8ace8c0-9e24-42a3-b761-be00a0d5ea3d","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_019ak8EHGd98HrmM3fEkZBdw","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KN6yZXsdcqNNhfwsFsgVcR","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/schema.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1571,"cache_read_input_tokens":39033,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1571},"output_tokens":25,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6f4rxfJg8nwmgRyv5m6","type":"assistant","uuid":"53a95010-990d-4fb8-aa84-a69dc98d8ca4","timestamp":"2026-03-16T11:10:53.127Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
+{"parentUuid":"53a95010-990d-4fb8-aa84-a69dc98d8ca4","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01KN6yZXsdcqNNhfwsFsgVcR","toolUseID":"toolu_01KN6yZXsdcqNNhfwsFsgVcR","timestamp":"2026-03-16T11:10:53.132Z","uuid":"ced99221-802f-4d1b-9b8c-717b95af5a7e","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
+{"parentUuid":"53a95010-990d-4fb8-aa84-a69dc98d8ca4","isSidechain":false,"promptId":"424bb283-9622-4c78-ab8d-57d55b32d949","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KN6yZXsdcqNNhfwsFsgVcR","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package config\n     7→\n     8→var configSchema = `\n     9→{\n    10→  \"type\": \"object\",\n    11→  \"properties\": {\n    12→    \"addr\": {\n    13→      \"description\": \"Address where the http (or https) server will listen on (for example: 'localhost:80').\",\n    14→      \"type\": \"string\"\n    15→    },\n    16→    \"api-allowed-ips\": {\n    17→      \"description\": \"Addresses from which secured API endpoints can be reached\",\n    18→      \"type\": \"array\",\n    19→      \"items\": {\n    20→        \"type\": \"string\"\n    21→      }\n    22→    },\n    23→    \"user\": {\n    24→      \"description\": \"Drop root permissions once .env was read and the port was taken. Only applicable if using privileged port.\",\n    25→      \"type\": \"string\"\n    26→    },\n    27→    \"group\": {\n    28→      \"description\": \"Drop root permissions once .env was read and the port was taken. Only applicable if using privileged port.\",\n    29→      \"type\": \"string\"\n    30→    },\n    31→    \"disable-authentication\": {\n    32→      \"description\": \"Disable authentication (for everything: API, Web-UI, ...).\",\n    33→      \"type\": \"boolean\"\n    34→    },\n    35→    \"embed-static-files\": {\n    36→      \"description\": \"If all files in web/frontend/public should be served from within the binary itself (they are embedded) or not.\",\n    37→      \"type\": \"boolean\"\n    38→    },\n    39→    \"static-files\": {\n    40→      \"description\": \"Folder where static assets can be found, if embed-static-files is false.\",\n    41→      \"type\": \"string\"\n    42→    },\n    43→    \"db\": {\n    44→      \"description\": \"Path to SQLite database file (e.g., './var/job.db')\",\n    45→      \"type\": \"string\"\n    46→    },\n    47→    \"enable-job-taggers\": {\n    48→      \"description\": \"Turn on automatic application and jobclass taggers\",\n    49→      \"type\": \"boolean\"\n    50→    },\n    51→    \"validate\": {\n    52→      \"description\": \"Validate all input json documents against json schema.\",\n    53→      \"type\": \"boolean\"\n    54→    },\n    55→    \"session-max-age\": {\n    56→      \"description\": \"Specifies for how long a session shall be valid  as a string parsable by time.ParseDuration(). If 0 or empty, the session/token does not expire!\",\n    57→      \"type\": \"string\"\n    58→    },\n    59→    \"https-cert-file\": {\n    60→      \"description\": \"Filepath to SSL certificate. If also https-key-file is set use HTTPS using those certificates.\",\n    61→      \"type\": \"string\"\n    62→    },\n    63→    \"https-key-file\": {\n    64→      \"description\": \"Filepath to SSL key file. If also https-cert-file is set use HTTPS using those certificates.\",\n    65→      \"type\": \"string\"\n    66→    },\n    67→    \"redirect-http-to\": {\n    68→      \"description\": \"If not the empty string and addr does not end in :80, redirect every request incoming at port 80 to that url.\",\n    69→      \"type\": \"string\"\n    70→    },\n    71→    \"stop-jobs-exceeding-walltime\": {\n    72→      \"description\": \"If not zero, automatically mark jobs as stopped running X seconds longer than their walltime. Only applies if walltime is set for job.\",\n    73→      \"type\": \"integer\"\n    74→    },\n    75→    \"short-running-jobs-duration\": {\n    76→      \"description\": \"Do not show running jobs shorter than X seconds.\",\n    77→      \"type\": \"integer\"\n    78→    },\n    79→    \"emission-constant\": {\n    80→      \"description\": \"Energy mix CO2 emission constant [g/kWh]. If set, displays estimated CO2 emission for jobs.\",\n    81→      \"type\": \"integer\"\n    82→    },\n    83→    \"machine-state-dir\": {\n    84→      \"description\": \"Where to store MachineState files.\",\n    85→      \"type\": \"string\"\n    86→    },\n    87→    \"systemd-unit\": {\n    88→      \"description\": \"Systemd unit name for log viewer (default: 'clustercockpit').\",\n    89→      \"type\": \"string\"\n    90→    },\n    91→    \"resampling\": {\n    92→      \"description\": \"Enable dynamic zoom in frontend metric plots.\",\n    93→      \"type\": \"object\",\n    94→      \"properties\": {\n    95→        \"minimum-points\": {\n    96→          \"description\": \"Minimum points to trigger resampling of time-series data.\",\n    97→          \"type\": \"integer\"\n    98→        },\n    99→        \"trigger\": {\n   100→          \"description\": \"Trigger next zoom level at less than this many visible datapoints.\",\n   101→          \"type\": \"integer\"\n   102→        },\n   103→        \"resolutions\": {\n   104→          \"description\": \"Array of resampling target resolutions, in seconds.\",\n   105→          \"type\": \"array\",\n   106→          \"items\": {\n   107→            \"type\": \"integer\"\n   108→          }\n   109→        }\n   110→      },\n   111→      \"required\": [\"trigger\", \"resolutions\"]\n   112→    },\n   113→    \"api-subjects\": {\n   114→      \"description\": \"NATS subjects configuration for subscribing to job and node events.\",\n   115→      \"type\": \"object\",\n   116→      \"properties\": {\n   117→        \"subject-job-event\": {\n   118→          \"description\": \"NATS subject for job events (start_job, stop_job)\",\n   119→          \"type\": \"string\"\n   120→        },\n   121→        \"subject-node-state\": {\n   122→          \"description\": \"NATS subject for node state updates\",\n   123→          \"type\": \"string\"\n   124→        }\n   125→      },\n   126→      \"required\": [\"subject-job-event\", \"subject-node-state\"]\n   127→    },\n   128→    \"nodestate-retention\": {\n   129→      \"description\": \"Node state retention configuration for cleaning up old node_state rows.\",\n   130→      \"type\": \"object\",\n   131→      \"properties\": {\n   132→        \"policy\": {\n   133→          \"description\": \"Retention policy: 'delete' to remove old rows, 'move' to archive to Parquet then delete.\",\n   134→          \"type\": \"string\",\n   135→          \"enum\": [\"delete\", \"move\"]\n   136→        },\n   137→        \"age\": {\n   138→          \"description\": \"Retention age in hours (default: 24).\",\n   139→          \"type\": \"integer\"\n   140→        },\n   141→        \"target-kind\": {\n   142→          \"description\": \"Target kind for parquet archiving: 'file' or 's3'.\",\n   143→          \"type\": \"string\",\n   144→          \"enum\": [\"file\", \"s3\"]\n   145→        },\n   146→        \"target-path\": {\n   147→          \"description\": \"Filesystem path for parquet file target.\",\n   148→          \"type\": \"string\"\n   149→        },\n   150→        \"target-endpoint\": {\n   151→          \"description\": \"S3 endpoint URL.\",\n   152→          \"type\": \"string\"\n   153→        },\n   154→        \"target-bucket\": {\n   155→          \"description\": \"S3 bucket name.\",\n   156→          \"type\": \"string\"\n   157→        },\n   158→        \"target-access-key\": {\n   159→          \"description\": \"S3 access key.\",\n   160→          \"type\": \"string\"\n   161→        },\n   162→        \"target-secret-key\": {\n   163→          \"description\": \"S3 secret key.\",\n   164→          \"type\": \"string\"\n   165→        },\n   166→        \"target-region\": {\n   167→          \"description\": \"S3 region.\",\n   168→          \"type\": \"string\"\n   169→        },\n   170→        \"target-use-path-style\": {\n   171→          \"description\": \"Use path-style S3 addressing.\",\n   172→          \"type\": \"boolean\"\n   173→        },\n   174→        \"max-file-size-mb\": {\n   175→          \"description\": \"Maximum parquet file size in MB (default: 128).\",\n   176→          \"type\": \"integer\"\n   177→        }\n   178→      },\n   179→      \"required\": [\"policy\"]\n   180→    },\n   181→    \"db-config\": {\n   182→      \"description\": \"SQLite database tuning configuration.\",\n   183→      \"type\": \"object\",\n   184→      \"properties\": {\n   185→        \"cache-size-mb\": {\n   186→          \"description\": \"SQLite page cache size per connection in MB (default: 2048).\",\n   187→          \"type\": \"integer\"\n   188→        },\n   189→        \"soft-heap-limit-mb\": {\n   190→          \"description\": \"Process-wide SQLite soft heap limit in MB (default: 16384).\",\n   191→          \"type\": \"integer\"\n   192→        },\n   193→        \"max-open-connections\": {\n   194→          \"description\": \"Maximum number of open database connections (default: 4).\",\n   195→          \"type\": \"integer\"\n   196→        },\n   197→        \"max-idle-connections\": {\n   198→          \"description\": \"Maximum number of idle database connections (default: 4).\",\n   199→          \"type\": \"integer\"\n   200→        },\n   201→        \"max-idle-time-minutes\": {\n   202→          \"description\": \"Maximum idle time for a connection in minutes (default: 10).\",\n   203→          \"type\": \"integer\"\n   204→        },\n   205→        \"busy-timeout-ms\": {\n   206→          \"description\": \"SQLite busy timeout in milliseconds. When a write is blocked, SQLite retries with backoff for up to this duration before returning SQLITE_BUSY (default: 60000).\",\n   207→          \"type\": \"integer\"\n   208→        }\n   209→      }\n   210→    }\n   211→  }\n   212→}`\n   213→"}]},"uuid":"bdc9d70c-486d-4f5d-8895-42c41ebdd16b","timestamp":"2026-03-16T11:10:53.131Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/schema.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage config\n\nvar configSchema = `\n{\n  \"type\": \"object\",\n  \"properties\": {\n    \"addr\": {\n      \"description\": \"Address where the http (or https) server will listen on (for example: 'localhost:80').\",\n      \"type\": \"string\"\n    },\n    \"api-allowed-ips\": {\n      \"description\": \"Addresses from which secured API endpoints can be reached\",\n      \"type\": \"array\",\n      \"items\": {\n        \"type\": \"string\"\n      }\n    },\n    \"user\": {\n      \"description\": \"Drop root permissions once .env was read and the port was taken. Only applicable if using privileged port.\",\n      \"type\": \"string\"\n    },\n    \"group\": {\n      \"description\": \"Drop root permissions once .env was read and the port was taken. Only applicable if using privileged port.\",\n      \"type\": \"string\"\n    },\n    \"disable-authentication\": {\n      \"description\": \"Disable authentication (for everything: API, Web-UI, ...).\",\n      \"type\": \"boolean\"\n    },\n    \"embed-static-files\": {\n      \"description\": \"If all files in web/frontend/public should be served from within the binary itself (they are embedded) or not.\",\n      \"type\": \"boolean\"\n    },\n    \"static-files\": {\n      \"description\": \"Folder where static assets can be found, if embed-static-files is false.\",\n      \"type\": \"string\"\n    },\n    \"db\": {\n      \"description\": \"Path to SQLite database file (e.g., './var/job.db')\",\n      \"type\": \"string\"\n    },\n    \"enable-job-taggers\": {\n      \"description\": \"Turn on automatic application and jobclass taggers\",\n      \"type\": \"boolean\"\n    },\n    \"validate\": {\n      \"description\": \"Validate all input json documents against json schema.\",\n      \"type\": \"boolean\"\n    },\n    \"session-max-age\": {\n      \"description\": \"Specifies for how long a session shall be valid  as a string parsable by time.ParseDuration(). If 0 or empty, the session/token does not expire!\",\n      \"type\": \"string\"\n    },\n    \"https-cert-file\": {\n      \"description\": \"Filepath to SSL certificate. If also https-key-file is set use HTTPS using those certificates.\",\n      \"type\": \"string\"\n    },\n    \"https-key-file\": {\n      \"description\": \"Filepath to SSL key file. If also https-cert-file is set use HTTPS using those certificates.\",\n      \"type\": \"string\"\n    },\n    \"redirect-http-to\": {\n      \"description\": \"If not the empty string and addr does not end in :80, redirect every request incoming at port 80 to that url.\",\n      \"type\": \"string\"\n    },\n    \"stop-jobs-exceeding-walltime\": {\n      \"description\": \"If not zero, automatically mark jobs as stopped running X seconds longer than their walltime. Only applies if walltime is set for job.\",\n      \"type\": \"integer\"\n    },\n    \"short-running-jobs-duration\": {\n      \"description\": \"Do not show running jobs shorter than X seconds.\",\n      \"type\": \"integer\"\n    },\n    \"emission-constant\": {\n      \"description\": \"Energy mix CO2 emission constant [g/kWh]. If set, displays estimated CO2 emission for jobs.\",\n      \"type\": \"integer\"\n    },\n    \"machine-state-dir\": {\n      \"description\": \"Where to store MachineState files.\",\n      \"type\": \"string\"\n    },\n    \"systemd-unit\": {\n      \"description\": \"Systemd unit name for log viewer (default: 'clustercockpit').\",\n      \"type\": \"string\"\n    },\n    \"resampling\": {\n      \"description\": \"Enable dynamic zoom in frontend metric plots.\",\n      \"type\": \"object\",\n      \"properties\": {\n        \"minimum-points\": {\n          \"description\": \"Minimum points to trigger resampling of time-series data.\",\n          \"type\": \"integer\"\n        },\n        \"trigger\": {\n          \"description\": \"Trigger next zoom level at less than this many visible datapoints.\",\n          \"type\": \"integer\"\n        },\n        \"resolutions\": {\n          \"description\": \"Array of resampling target resolutions, in seconds.\",\n          \"type\": \"array\",\n          \"items\": {\n            \"type\": \"integer\"\n          }\n        }\n      },\n      \"required\": [\"trigger\", \"resolutions\"]\n    },\n    \"api-subjects\": {\n      \"description\": \"NATS subjects configuration for subscribing to job and node events.\",\n      \"type\": \"object\",\n      \"properties\": {\n        \"subject-job-event\": {\n          \"description\": \"NATS subject for job events (start_job, stop_job)\",\n          \"type\": \"string\"\n        },\n        \"subject-node-state\": {\n          \"description\": \"NATS subject for node state updates\",\n          \"type\": \"string\"\n        }\n      },\n      \"required\": [\"subject-job-event\", \"subject-node-state\"]\n    },\n    \"nodestate-retention\": {\n      \"description\": \"Node state retention configuration for cleaning up old node_state rows.\",\n      \"type\": \"object\",\n      \"properties\": {\n        \"policy\": {\n          \"description\": \"Retention policy: 'delete' to remove old rows, 'move' to archive to Parquet then delete.\",\n          \"type\": \"string\",\n          \"enum\": [\"delete\", \"move\"]\n        },\n        \"age\": {\n          \"description\": \"Retention age in hours (default: 24).\",\n          \"type\": \"integer\"\n        },\n        \"target-kind\": {\n          \"description\": \"Target kind for parquet archiving: 'file' or 's3'.\",\n          \"type\": \"string\",\n          \"enum\": [\"file\", \"s3\"]\n        },\n        \"target-path\": {\n          \"description\": \"Filesystem path for parquet file target.\",\n          \"type\": \"string\"\n        },\n        \"target-endpoint\": {\n          \"description\": \"S3 endpoint URL.\",\n          \"type\": \"string\"\n        },\n        \"target-bucket\": {\n          \"description\": \"S3 bucket name.\",\n          \"type\": \"string\"\n        },\n        \"target-access-key\": {\n          \"description\": \"S3 access key.\",\n          \"type\": \"string\"\n        },\n        \"target-secret-key\": {\n          \"description\": \"S3 secret key.\",\n          \"type\": \"string\"\n        },\n        \"target-region\": {\n          \"description\": \"S3 region.\",\n          \"type\": \"string\"\n        },\n        \"target-use-path-style\": {\n          \"description\": \"Use path-style S3 addressing.\",\n          \"type\": \"boolean\"\n        },\n        \"max-file-size-mb\": {\n          \"description\": \"Maximum parquet file size in MB (default: 128).\",\n          \"type\": \"integer\"\n        }\n      },\n      \"required\": [\"policy\"]\n    },\n    \"db-config\": {\n      \"description\": \"SQLite database tuning configuration.\",\n      \"type\": \"object\",\n      \"properties\": {\n        \"cache-size-mb\": {\n          \"description\": \"SQLite page cache size per connection in MB (default: 2048).\",\n          \"type\": \"integer\"\n        },\n        \"soft-heap-limit-mb\": {\n          \"description\": \"Process-wide SQLite soft heap limit in MB (default: 16384).\",\n          \"type\": \"integer\"\n        },\n        \"max-open-connections\": {\n          \"description\": \"Maximum number of open database connections (default: 4).\",\n          \"type\": \"integer\"\n        },\n        \"max-idle-connections\": {\n          \"description\": \"Maximum number of idle database connections (default: 4).\",\n          \"type\": \"integer\"\n        },\n        \"max-idle-time-minutes\": {\n          \"description\": \"Maximum idle time for a connection in minutes (default: 10).\",\n          \"type\": \"integer\"\n        },\n        \"busy-timeout-ms\": {\n          \"description\": \"SQLite busy timeout in milliseconds. When a write is blocked, SQLite retries with backoff for up to this duration before returning SQLITE_BUSY (default: 60000).\",\n          \"type\": \"integer\"\n        }\n      }\n    }\n  }\n}`\n","numLines":213,"startLine":1,"totalLines":213}},"sourceToolAssistantUUID":"53a95010-990d-4fb8-aa84-a69dc98d8ca4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
+{"parentUuid":"bdc9d70c-486d-4f5d-8895-42c41ebdd16b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01DSCCcEmpM1b1vtkHLxLQ24","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":5282,"cache_read_input_tokens":40604,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5282},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6f59RN8hNbdny5h5wjn","type":"assistant","uuid":"78a073cf-c68c-4d52-92df-dadc8eaa4040","timestamp":"2026-03-16T11:10:57.548Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
+{"parentUuid":"78a073cf-c68c-4d52-92df-dadc8eaa4040","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01DSCCcEmpM1b1vtkHLxLQ24","type":"message","role":"assistant","content":[{"type":"text","text":"Let me check the current diff to understand what config changes were already made."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":5282,"cache_read_input_tokens":40604,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5282},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6f59RN8hNbdny5h5wjn","type":"assistant","uuid":"c22d8225-ff22-435f-a4bb-8c8e177e2b3c","timestamp":"2026-03-16T11:10:58.093Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
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+{"parentUuid":"52f11858-cc9d-4a71-9087-43505601cb8a","isSidechain":false,"promptId":"424bb283-9622-4c78-ab8d-57d55b32d949","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KTmHjbUmCyxpn8yHTQG7KP","type":"tool_result","content":"diff --git a/internal/config/config.go b/internal/config/config.go\nindex 517c920e..677b24e4 100644\n--- a/internal/config/config.go\n+++ b/internal/config/config.go\n@@ -117,6 +117,8 @@ type ResampleConfig struct {\n type NATSConfig struct {\n \tSubjectJobEvent  string `json:\"subject-job-event\"`\n \tSubjectNodeState string `json:\"subject-node-state\"`\n+\tJobConcurrency   int    `json:\"job-concurrency\"`\n+\tNodeConcurrency  int    `json:\"node-concurrency\"`\n }\n \n type IntRange struct {","is_error":false}]},"uuid":"39f243a8-3b19-4cc7-b188-297c19fccdd5","timestamp":"2026-03-16T11:10:59.226Z","toolUseResult":{"stdout":"diff --git a/internal/config/config.go b/internal/config/config.go\nindex 517c920e..677b24e4 100644\n--- a/internal/config/config.go\n+++ b/internal/config/config.go\n@@ -117,6 +117,8 @@ type ResampleConfig struct {\n type NATSConfig struct {\n \tSubjectJobEvent  string `json:\"subject-job-event\"`\n \tSubjectNodeState string `json:\"subject-node-state\"`\n+\tJobConcurrency   int    `json:\"job-concurrency\"`\n+\tNodeConcurrency  int    `json:\"node-concurrency\"`\n }\n \n type IntRange struct {","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"52f11858-cc9d-4a71-9087-43505601cb8a","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
+{"parentUuid":"39f243a8-3b19-4cc7-b188-297c19fccdd5","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_018r58hUFQCwXY8WNuiNsbGd","type":"message","role":"assistant","content":[{"type":"text","text":"So `JobConcurrency` and `NodeConcurrency` were added to the config struct but not yet reflected in the JSON schema or documentation. Let me also check the CLAUDE.md NATS section and example config."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":381,"cache_read_input_tokens":45886,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":381},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6f5bRYpdLGLKDPtsrkX","type":"assistant","uuid":"50536692-4abf-4212-bd8f-378102cbd7f7","timestamp":"2026-03-16T11:11:03.124Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
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+{"parentUuid":"0139915b-0d93-4f05-b6e4-052051dc193f","isSidechain":false,"promptId":"424bb283-9622-4c78-ab8d-57d55b32d949","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GRLM9N8yufrVZHu16tfLH1","type":"tool_result","content":"     1→{\n     2→  \"main\": {\n     3→    \"addr\": \"0.0.0.0:443\",\n     4→    \"https-cert-file\": \"/etc/letsencrypt/live/url/fullchain.pem\",\n     5→    \"https-key-file\": \"/etc/letsencrypt/live/url/privkey.pem\",\n     6→    \"user\": \"clustercockpit\",\n     7→    \"group\": \"clustercockpit\",\n     8→    \"api-allowed-ips\": [\"*\"],\n     9→    \"short-running-jobs-duration\": 300,\n    10→    \"enable-job-taggers\": true,\n    11→    \"nodestate-retention\": {\n    12→      \"policy\": \"move\",\n    13→      \"target-kind\": \"file\",\n    14→      \"target-path\": \"./var/nodestate-archive\"\n    15→    },\n    16→    \"resampling\": {\n    17→      \"minimum-points\": 600,\n    18→      \"trigger\": 180,\n    19→      \"resolutions\": [240, 60]\n    20→    },\n    21→    \"api-subjects\": {\n    22→      \"subject-job-event\": \"cc.job.event\",\n    23→      \"subject-node-state\": \"cc.node.state\"\n    24→    }\n    25→  },\n    26→  \"nats\": {\n    27→    \"address\": \"nats://0.0.0.0:4222\",\n    28→    \"username\": \"root\",\n    29→    \"password\": \"root\"\n    30→  },\n    31→  \"auth\": {\n    32→    \"jwts\": {\n    33→      \"max-age\": \"2000h\"\n    34→    }\n    35→  },\n    36→  \"cron\": {\n    37→    \"commit-job-worker\": \"1m\",\n    38→    \"duration-worker\": \"5m\",\n    39→    \"footprint-worker\": \"10m\"\n    40→  },\n    41→  \"archive\": {\n    42→    \"kind\": \"s3\",\n    43→    \"endpoint\": \"http://x.x.x.x\",\n    44→    \"bucket\": \"jobarchive\",\n    45→    \"access-key\": \"xx\",\n    46→    \"secret-key\": \"xx\",\n    47→    \"retention\": {\n    48→      \"policy\": \"move\",\n    49→      \"age\": 365,\n    50→      \"location\": \"./var/archive\"\n    51→    }\n    52→  },\n    53→  \"metric-store-external\": [\n    54→    {\n    55→      \"scope\": \"*\",\n    56→      \"url\": \"http://x.x.x.x:8082\",\n    57→      \"token\": \"MySecret\"\n    58→    },\n    59→    {\n    60→      \"scope\": \"fritz\",\n    61→      \"url\": \"http://x.x.x.x:8084\",\n    62→      \"token\": \"MySecret\"\n    63→    },\n    64→    {\n    65→      \"scope\": \"fritz-spr1tb\",\n    66→      \"url\": \"http://x.x.x.x:8083\",\n    67→      \"token\": \"MySecret\"\n    68→    },\n    69→    {\n    70→      \"scope\": \"alex\",\n    71→      \"url\": \"http://x.x.x.x:8084\",\n    72→      \"token\": \"MySecret\"\n    73→    }\n    74→  ],\n    75→  \"metric-store\": {\n    76→    \"checkpoints\": {\n    77→      \"directory\": \"./var/checkpoints\"\n    78→    },\n    79→    \"memory-cap\": 100,\n    80→    \"retention-in-memory\": \"24h\",\n    81→    \"cleanup\": {\n    82→      \"mode\": \"archive\",\n    83→      \"directory\": \"./var/archive\"\n    84→    },\n    85→    \"nats-subscriptions\": [\n    86→      {\n    87→        \"subscribe-to\": \"hpc-nats\",\n    88→        \"cluster-tag\": \"fritz\"\n    89→      },\n    90→      {\n    91→        \"subscribe-to\": \"hpc-nats\",\n    92→        \"cluster-tag\": \"alex\"\n    93→      }\n    94→    ]\n    95→  },\n    96→  \"ui-file\": \"ui-config.json\"\n    97→}\n    98→"}]},"uuid":"a0661faa-191f-486a-9a4a-b8be99853c0e","timestamp":"2026-03-16T11:11:03.940Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/configs/config.json","content":"{\n  \"main\": {\n    \"addr\": \"0.0.0.0:443\",\n    \"https-cert-file\": \"/etc/letsencrypt/live/url/fullchain.pem\",\n    \"https-key-file\": \"/etc/letsencrypt/live/url/privkey.pem\",\n    \"user\": \"clustercockpit\",\n    \"group\": \"clustercockpit\",\n    \"api-allowed-ips\": [\"*\"],\n    \"short-running-jobs-duration\": 300,\n    \"enable-job-taggers\": true,\n    \"nodestate-retention\": {\n      \"policy\": \"move\",\n      \"target-kind\": \"file\",\n      \"target-path\": \"./var/nodestate-archive\"\n    },\n    \"resampling\": {\n      \"minimum-points\": 600,\n      \"trigger\": 180,\n      \"resolutions\": [240, 60]\n    },\n    \"api-subjects\": {\n      \"subject-job-event\": \"cc.job.event\",\n      \"subject-node-state\": \"cc.node.state\"\n    }\n  },\n  \"nats\": {\n    \"address\": \"nats://0.0.0.0:4222\",\n    \"username\": \"root\",\n    \"password\": \"root\"\n  },\n  \"auth\": {\n    \"jwts\": {\n      \"max-age\": \"2000h\"\n    }\n  },\n  \"cron\": {\n    \"commit-job-worker\": \"1m\",\n    \"duration-worker\": \"5m\",\n    \"footprint-worker\": \"10m\"\n  },\n  \"archive\": {\n    \"kind\": \"s3\",\n    \"endpoint\": \"http://x.x.x.x\",\n    \"bucket\": \"jobarchive\",\n    \"access-key\": \"xx\",\n    \"secret-key\": \"xx\",\n    \"retention\": {\n      \"policy\": \"move\",\n      \"age\": 365,\n      \"location\": \"./var/archive\"\n    }\n  },\n  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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage config\n\nvar configSchema = `\n{\n  \"type\": \"object\",\n  \"properties\": {\n    \"addr\": {\n      \"description\": \"Address where the http (or https) server will listen on (for example: 'localhost:80').\",\n      \"type\": \"string\"\n    },\n    \"api-allowed-ips\": {\n      \"description\": \"Addresses from which secured API endpoints can be reached\",\n      \"type\": \"array\",\n      \"items\": {\n        \"type\": \"string\"\n      }\n    },\n    \"user\": {\n      \"description\": \"Drop root permissions once .env was read and the port was taken. Only applicable if using privileged port.\",\n      \"type\": \"string\"\n    },\n    \"group\": {\n      \"description\": \"Drop root permissions once .env was read and the port was taken. Only applicable if using privileged port.\",\n      \"type\": \"string\"\n    },\n    \"disable-authentication\": {\n      \"description\": \"Disable authentication (for everything: API, Web-UI, ...).\",\n      \"type\": \"boolean\"\n    },\n    \"embed-static-files\": {\n      \"description\": \"If all files in web/frontend/public should be served from within the binary itself (they are embedded) or not.\",\n      \"type\": \"boolean\"\n    },\n    \"static-files\": {\n      \"description\": \"Folder where static assets can be found, if embed-static-files is false.\",\n      \"type\": \"string\"\n    },\n    \"db\": {\n      \"description\": \"Path to SQLite database file (e.g., './var/job.db')\",\n      \"type\": \"string\"\n    },\n    \"enable-job-taggers\": {\n      \"description\": \"Turn on automatic application and jobclass taggers\",\n      \"type\": \"boolean\"\n    },\n    \"validate\": {\n      \"description\": \"Validate all input json documents against json schema.\",\n      \"type\": \"boolean\"\n    },\n    \"session-max-age\": {\n      \"description\": \"Specifies for how long a session shall be valid  as a string parsable by time.ParseDuration(). If 0 or empty, the session/token does not expire!\",\n      \"type\": \"string\"\n    },\n    \"https-cert-file\": {\n      \"description\": \"Filepath to SSL certificate. If also https-key-file is set use HTTPS using those certificates.\",\n      \"type\": \"string\"\n    },\n    \"https-key-file\": {\n      \"description\": \"Filepath to SSL key file. If also https-cert-file is set use HTTPS using those certificates.\",\n      \"type\": \"string\"\n    },\n    \"redirect-http-to\": {\n      \"description\": \"If not the empty string and addr does not end in :80, redirect every request incoming at port 80 to that url.\",\n      \"type\": \"string\"\n    },\n    \"stop-jobs-exceeding-walltime\": {\n      \"description\": \"If not zero, automatically mark jobs as stopped running X seconds longer than their walltime. Only applies if walltime is set for job.\",\n      \"type\": \"integer\"\n    },\n    \"short-running-jobs-duration\": {\n      \"description\": \"Do not show running jobs shorter than X seconds.\",\n      \"type\": \"integer\"\n    },\n    \"emission-constant\": {\n      \"description\": \"Energy mix CO2 emission constant [g/kWh]. If set, displays estimated CO2 emission for jobs.\",\n      \"type\": \"integer\"\n    },\n    \"machine-state-dir\": {\n      \"description\": \"Where to store MachineState files.\",\n      \"type\": \"string\"\n    },\n    \"systemd-unit\": {\n      \"description\": \"Systemd unit name for log viewer (default: 'clustercockpit').\",\n      \"type\": \"string\"\n    },\n    \"resampling\": {\n      \"description\": \"Enable dynamic zoom in frontend metric plots.\",\n      \"type\": \"object\",\n      \"properties\": {\n        \"minimum-points\": {\n          \"description\": \"Minimum points to trigger resampling of time-series data.\",\n          \"type\": \"integer\"\n        },\n        \"trigger\": {\n          \"description\": \"Trigger next zoom level at less than this many visible datapoints.\",\n          \"type\": \"integer\"\n        },\n        \"resolutions\": {\n          \"description\": \"Array of resampling target resolutions, in seconds.\",\n          \"type\": \"array\",\n          \"items\": {\n            \"type\": \"integer\"\n          }\n        }\n      },\n      \"required\": [\"trigger\", \"resolutions\"]\n    },\n    \"api-subjects\": {\n      \"description\": \"NATS subjects configuration for subscribing to job and node events.\",\n      \"type\": \"object\",\n      \"properties\": {\n        \"subject-job-event\": {\n          \"description\": \"NATS subject for job events (start_job, stop_job)\",\n          \"type\": \"string\"\n        },\n        \"subject-node-state\": {\n          \"description\": \"NATS subject for node state updates\",\n          \"type\": \"string\"\n        }\n      },\n      \"required\": [\"subject-job-event\", \"subject-node-state\"]\n    },\n    \"nodestate-retention\": {\n      \"description\": \"Node state retention configuration for cleaning up old node_state rows.\",\n      \"type\": \"object\",\n      \"properties\": {\n        \"policy\": {\n          \"description\": \"Retention policy: 'delete' to remove old rows, 'move' to archive to Parquet then delete.\",\n          \"type\": \"string\",\n          \"enum\": [\"delete\", \"move\"]\n        },\n        \"age\": {\n          \"description\": \"Retention age in hours (default: 24).\",\n          \"type\": \"integer\"\n        },\n        \"target-kind\": {\n          \"description\": \"Target kind for parquet archiving: 'file' or 's3'.\",\n          \"type\": \"string\",\n          \"enum\": [\"file\", \"s3\"]\n        },\n        \"target-path\": {\n          \"description\": \"Filesystem path for parquet file target.\",\n          \"type\": \"string\"\n        },\n        \"target-endpoint\": {\n          \"description\": \"S3 endpoint URL.\",\n          \"type\": \"string\"\n        },\n        \"target-bucket\": {\n          \"description\": \"S3 bucket name.\",\n          \"type\": \"string\"\n        },\n        \"target-access-key\": {\n          \"description\": \"S3 access key.\",\n          \"type\": \"string\"\n        },\n        \"target-secret-key\": {\n          \"description\": \"S3 secret key.\",\n          \"type\": \"string\"\n        },\n        \"target-region\": {\n          \"description\": \"S3 region.\",\n          \"type\": \"string\"\n        },\n        \"target-use-path-style\": {\n          \"description\": \"Use path-style S3 addressing.\",\n          \"type\": \"boolean\"\n        },\n        \"max-file-size-mb\": {\n          \"description\": \"Maximum parquet file size in MB (default: 128).\",\n          \"type\": \"integer\"\n        }\n      },\n      \"required\": [\"policy\"]\n    },\n    \"db-config\": {\n      \"description\": \"SQLite database tuning configuration.\",\n      \"type\": \"object\",\n      \"properties\": {\n        \"cache-size-mb\": {\n          \"description\": \"SQLite page cache size per connection in MB (default: 2048).\",\n          \"type\": \"integer\"\n        },\n        \"soft-heap-limit-mb\": {\n          \"description\": \"Process-wide SQLite soft heap limit in MB (default: 16384).\",\n          \"type\": \"integer\"\n        },\n        \"max-open-connections\": {\n          \"description\": \"Maximum number of open database connections (default: 4).\",\n          \"type\": \"integer\"\n        },\n        \"max-idle-connections\": {\n          \"description\": \"Maximum number of idle database connections (default: 4).\",\n          \"type\": \"integer\"\n        },\n        \"max-idle-time-minutes\": {\n          \"description\": \"Maximum idle time for a connection in minutes (default: 10).\",\n          \"type\": \"integer\"\n        },\n        \"busy-timeout-ms\": {\n          \"description\": \"SQLite busy timeout in milliseconds. 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Configure API subjects in `config.json` under `main`:\n   241→   ```json\n   242→   {\n   243→     \"main\": {\n   244→       \"apiSubjects\": {\n   245→         \"subjectJobEvent\": \"cc.job.event\",\n   246→         \"subjectNodeState\": \"cc.node.state\"\n   247→       }\n   248→     }\n   249→   }\n   250→   ```\n   251→\n   252→### Message Format\n   253→\n   254→Messages use **InfluxDB line protocol** format with the following structure:\n   255→\n   256→#### Job Events\n   257→\n   258→**Start Job:**\n   259→```\n   260→job,function=start_job event=\"{\\\"jobId\\\":123,\\\"user\\\":\\\"alice\\\",\\\"cluster\\\":\\\"test\\\", ...}\" 1234567890000000000\n   261→```\n   262→\n   263→**Stop Job:**\n   264→```\n   265→job,function=stop_job event=\"{\\\"jobId\\\":123,\\\"cluster\\\":\\\"test\\\",\\\"startTime\\\":1234567890,\\\"stopTime\\\":1234571490,\\\"jobState\\\":\\\"completed\\\"}\" 1234571490000000000\n   266→```\n   267→\n   268→**Tags:**\n   269→- `function`: Either `start_job` or `stop_job`\n   270→\n   271→**Fields:**\n   272→- `event`: JSON payload containing job data (see REST API documentation for schema)\n   273→\n   274→#### Node State Updates\n   275→\n   276→```json\n   277→{\n   278→  \"cluster\": \"testcluster\",\n   279→  \"nodes\": [\n   280→    {\n   281→      \"hostname\": \"node001\",\n   282→      \"states\": [\"allocated\"],\n   283→      \"cpusAllocated\": 8,\n   284→      \"memoryAllocated\": 16384,\n   285→      \"gpusAllocated\": 0,\n   286→      \"jobsRunning\": 1\n   287→    }\n   288→  ]\n   289→}\n   290→```\n   291→\n   292→### Implementation Notes\n   293→\n   294→- NATS API mirrors REST API functionality but uses messaging\n   295→- Job start/stop events are processed asynchronously\n   296→- Duplicate job detection is handled (same as REST API)\n   297→- All validation rules from REST API apply\n   298→- Messages are logged; no responses are sent back to publishers\n   299→- If NATS client is unavailable, API subscriptions are skipped (logged as warning)\n   300→\n   301→## Dependencies\n   302→\n   303→- Go 1.24.0+ (check go.mod for exact version)\n   304→- Node.js (for frontend builds)\n   305→- SQLite 3 (only supported database)\n   306→- Optional: NATS server for NATS API integration\n   307→"}]},"uuid":"95fc60d5-e7f2-443f-b51a-cbb5a0befa2d","timestamp":"2026-03-16T11:11:17.039Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/CLAUDE.md","content":"2. Increment `repository.Version`\n3. Test with fresh database and existing database\n\n## NATS API\n\nThe backend supports a NATS-based API as an alternative to the REST API for job and node operations.\n\n### Setup\n\n1. Configure NATS client connection in `config.json`:\n   ```json\n   {\n     \"nats\": {\n       \"address\": \"nats://localhost:4222\",\n       \"username\": \"user\",\n       \"password\": \"pass\"\n     }\n   }\n   ```\n\n2. Configure API subjects in `config.json` under `main`:\n   ```json\n   {\n     \"main\": {\n       \"apiSubjects\": {\n         \"subjectJobEvent\": \"cc.job.event\",\n         \"subjectNodeState\": \"cc.node.state\"\n       }\n     }\n   }\n   ```\n\n### Message Format\n\nMessages use **InfluxDB line protocol** format with the following structure:\n\n#### Job Events\n\n**Start Job:**\n```\njob,function=start_job event=\"{\\\"jobId\\\":123,\\\"user\\\":\\\"alice\\\",\\\"cluster\\\":\\\"test\\\", ...}\" 1234567890000000000\n```\n\n**Stop Job:**\n```\njob,function=stop_job event=\"{\\\"jobId\\\":123,\\\"cluster\\\":\\\"test\\\",\\\"startTime\\\":1234567890,\\\"stopTime\\\":1234571490,\\\"jobState\\\":\\\"completed\\\"}\" 1234571490000000000\n```\n\n**Tags:**\n- `function`: Either `start_job` or `stop_job`\n\n**Fields:**\n- `event`: JSON payload containing job data (see REST API documentation for schema)\n\n#### Node State Updates\n\n```json\n{\n  \"cluster\": \"testcluster\",\n  \"nodes\": [\n    {\n      \"hostname\": \"node001\",\n      \"states\": [\"allocated\"],\n      \"cpusAllocated\": 8,\n      \"memoryAllocated\": 16384,\n      \"gpusAllocated\": 0,\n      \"jobsRunning\": 1\n    }\n  ]\n}\n```\n\n### Implementation Notes\n\n- NATS API mirrors REST API functionality but uses messaging\n- Job start/stop events are processed asynchronously\n- Duplicate job detection is handled (same as REST API)\n- All validation rules from REST API apply\n- Messages are logged; no responses are sent back to publishers\n- If NATS client is unavailable, API subscriptions are skipped (logged as warning)\n\n## Dependencies\n\n- Go 1.24.0+ (check go.mod for exact version)\n- Node.js (for frontend builds)\n- SQLite 3 (only supported database)\n- Optional: NATS server for NATS API integration\n","numLines":88,"startLine":220,"totalLines":307}},"sourceToolAssistantUUID":"a853ac20-95e0-4770-b16e-78e8751675d0","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
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Configure API subjects in `config.json` under `main`:\n   ```json\n   {\n     \"main\": {\n       \"api-subjects\": {\n         \"subject-job-event\": \"cc.job.event\",\n         \"subject-node-state\": \"cc.node.state\",\n         \"job-concurrency\": 8,\n         \"node-concurrency\": 2\n       }\n     }\n   }\n   ```\n   - `subject-job-event` (required): NATS subject for job start/stop events\n   - `subject-node-state` (required): NATS subject for node state updates\n   - `job-concurrency` (optional, default: 8): Number of concurrent worker goroutines for job events\n   - `node-concurrency` (optional, default: 2): Number of concurrent worker goroutines for node state events","originalFile":"# CLAUDE.md\n\nThis file provides guidance to Claude Code (claude.ai/code) when working with\ncode in this repository.\n\n## Project Overview\n\nClusterCockpit is a job-specific performance monitoring framework for HPC\nclusters. This is a Golang backend that provides REST and GraphQL APIs, serves a\nSvelte-based frontend, and manages job archives and metric data from various\ntime-series databases.\n\n## Build and Development Commands\n\n### Building\n\n```bash\n# Build everything (frontend + backend)\nmake\n\n# Build only the frontend\nmake frontend\n\n# Build only the backend (requires frontend to be built first)\ngo build -ldflags='-s -X main.date=$(date +\"%Y-%m-%d:T%H:%M:%S\") -X main.version=1.5.0 -X main.commit=$(git rev-parse --short HEAD)' ./cmd/cc-backend\n```\n\n### Testing\n\n```bash\n# Run all tests\nmake test\n\n# Run tests with verbose output\ngo test -v ./...\n\n# Run tests for a specific package\ngo test ./internal/repository\n```\n\n### Code Generation\n\n```bash\n# Regenerate GraphQL schema and resolvers (after modifying api/schema.graphqls)\nmake graphql\n\n# Regenerate Swagger/OpenAPI docs (after modifying API comments)\nmake swagger\n```\n\n### Frontend Development\n\n```bash\ncd web/frontend\n\n# Install dependencies\nnpm install\n\n# Build for production\nnpm run build\n\n# Development mode with watch\nnpm run dev\n```\n\n### Running\n\n```bash\n# Initialize database and create admin user\n./cc-backend -init-db -add-user demo:admin:demo\n\n# Start server in development mode (enables GraphQL Playground and Swagger UI)\n./cc-backend -server -dev -loglevel info\n\n# Start demo with sample data\n./startDemo.sh\n```\n\n## Architecture\n\n### Backend Structure\n\nThe backend follows a layered architecture with clear separation of concerns:\n\n- **cmd/cc-backend**: Entry point, orchestrates initialization of all subsystems\n- **internal/repository**: Data access layer using repository pattern\n  - Abstracts database operations (SQLite3 only)\n  - Implements LRU caching for performance\n  - Provides repositories for Job, User, Node, and Tag entities\n  - Transaction support for batch operations\n- **internal/api**: REST API endpoints (Swagger/OpenAPI documented)\n- **internal/graph**: GraphQL API (uses gqlgen)\n  - Schema in `api/schema.graphqls`\n  - Generated code in `internal/graph/generated/`\n  - Resolvers in `internal/graph/schema.resolvers.go`\n- **internal/auth**: Authentication layer\n  - Supports local accounts, LDAP, OIDC, and JWT tokens\n  - Implements rate limiting for login attempts\n- **pkg/metricstore**: Metric store with data loading API\n  - In-memory metric storage with checkpointing\n  - Query API for loading job metric data\n- **internal/archiver**: Job archiving to file-based archive\n- **internal/api/nats.go**: NATS-based API for job and node operations\n  - Subscribes to NATS subjects for job events (start/stop)\n  - Handles node state updates via NATS\n  - Uses InfluxDB line protocol message format\n- **pkg/archive**: Job archive backend implementations\n  - File system backend (default)\n  - S3 backend\n  - SQLite backend (experimental)\n  - **parquet** sub-package: Parquet format support (schema, reader, writer, conversion)\n- **internal/metricstoreclient**: Client for cc-metric-store queries\n\n### Frontend Structure\n\n- **web/frontend**: Svelte 5 application\n  - Uses Rollup for building\n  - Components organized by feature (analysis, job, user, etc.)\n  - GraphQL client using @urql/svelte\n  - Bootstrap 5 + SvelteStrap for UI\n  - uPlot for time-series visualization\n- **web/templates**: Server-side Go templates\n\n### Key Concepts\n\n**Job Archive**: Completed jobs are stored in a file-based archive following the\n[ClusterCockpit job-archive\nspecification](https://github.com/ClusterCockpit/cc-specifications/tree/master/job-archive).\nEach job has a `meta.json` file with metadata and metric data files.\n\n**Metric Data Repositories**: Time-series metric data is stored separately from\njob metadata. The system supports multiple backends (cc-metric-store is\nrecommended). Configuration is per-cluster in `config.json`.\n\n**Authentication Flow**:\n\n1. Multiple authenticators can be configured (local, LDAP, OIDC, JWT)\n2. Each authenticator's `CanLogin` method is called to determine if it should handle the request\n3. The first authenticator that returns true performs the actual `Login`\n4. JWT tokens are used for API authentication\n\n**Database Migrations**: SQL migrations in `internal/repository/migrations/sqlite3/` are\napplied automatically on startup. Version tracking in `version` table.\n\n**Scopes**: Metrics can be collected at different scopes:\n\n- Node scope (always available)\n- Core scope (for jobs with ≤8 nodes)\n- Accelerator scope (for GPU/accelerator metrics)\n\n## Configuration\n\n- **config.json**: Main configuration (clusters, metric repositories, archive settings)\n  - `main.apiSubjects`: NATS subject configuration (optional)\n    - `subjectJobEvent`: Subject for job start/stop events (e.g., \"cc.job.event\")\n    - `subjectNodeState`: Subject for node state updates (e.g., \"cc.node.state\")\n  - `nats`: NATS client connection configuration (optional)\n    - `address`: NATS server address (e.g., \"nats://localhost:4222\")\n    - `username`: Authentication username (optional)\n    - `password`: Authentication password (optional)\n    - `creds-file-path`: Path to NATS credentials file (optional)\n- **.env**: Environment variables (secrets like JWT keys)\n  - Copy from `configs/env-template.txt`\n  - NEVER commit this file\n- **cluster.json**: Cluster topology and metric definitions (loaded from archive or config)\n\n## Database\n\n- Default: SQLite 3 (`./var/job.db`)\n- Connection managed by `internal/repository`\n- Schema version in `internal/repository/migration.go`\n\n## Code Generation\n\n**GraphQL** (gqlgen):\n\n- Schema: `api/schema.graphqls`\n- Config: `gqlgen.yml`\n- Generated code: `internal/graph/generated/`\n- Custom resolvers: `internal/graph/schema.resolvers.go`\n- Run `make graphql` after schema changes\n\n**Swagger/OpenAPI**:\n\n- Annotations in `internal/api/*.go`\n- Generated docs: `internal/api/docs.go`, `api/swagger.yaml`\n- Run `make swagger` after API changes\n\n## Testing Conventions\n\n- Test files use `_test.go` suffix\n- Test data in `testdata/` subdirectories\n- Repository tests use in-memory SQLite\n- API tests use httptest\n\n## Common Workflows\n\n### Adding a new GraphQL field\n\n1. Edit schema in `api/schema.graphqls`\n2. Run `make graphql`\n3. Implement resolver in `internal/graph/schema.resolvers.go`\n\n### Adding a new REST endpoint\n\n1. Add handler in `internal/api/*.go`\n2. Add route in `internal/api/rest.go`\n3. Add Swagger annotations\n4. Run `make swagger`\n\n### Adding a new metric data backend\n\n1. Implement metric loading functions in `pkg/metricstore/query.go`\n2. Add cluster configuration to metric store initialization\n3. Update config.json schema documentation\n\n### Modifying database schema\n\n1. Create new migration in `internal/repository/migrations/sqlite3/`\n2. Increment `repository.Version`\n3. Test with fresh database and existing database\n\n## NATS API\n\nThe backend supports a NATS-based API as an alternative to the REST API for job and node operations.\n\n### Setup\n\n1. Configure NATS client connection in `config.json`:\n   ```json\n   {\n     \"nats\": {\n       \"address\": \"nats://localhost:4222\",\n       \"username\": \"user\",\n       \"password\": \"pass\"\n     }\n   }\n   ```\n\n2. Configure API subjects in `config.json` under `main`:\n   ```json\n   {\n     \"main\": {\n       \"apiSubjects\": {\n         \"subjectJobEvent\": \"cc.job.event\",\n         \"subjectNodeState\": \"cc.node.state\"\n       }\n     }\n   }\n   ```\n\n### Message Format\n\nMessages use **InfluxDB line protocol** format with the following structure:\n\n#### Job Events\n\n**Start Job:**\n```\njob,function=start_job event=\"{\\\"jobId\\\":123,\\\"user\\\":\\\"alice\\\",\\\"cluster\\\":\\\"test\\\", ...}\" 1234567890000000000\n```\n\n**Stop Job:**\n```\njob,function=stop_job event=\"{\\\"jobId\\\":123,\\\"cluster\\\":\\\"test\\\",\\\"startTime\\\":1234567890,\\\"stopTime\\\":1234571490,\\\"jobState\\\":\\\"completed\\\"}\" 1234571490000000000\n```\n\n**Tags:**\n- `function`: Either `start_job` or `stop_job`\n\n**Fields:**\n- `event`: JSON payload containing job data (see REST API documentation for schema)\n\n#### Node State Updates\n\n```json\n{\n  \"cluster\": \"testcluster\",\n  \"nodes\": [\n    {\n      \"hostname\": \"node001\",\n      \"states\": [\"allocated\"],\n      \"cpusAllocated\": 8,\n      \"memoryAllocated\": 16384,\n      \"gpusAllocated\": 0,\n      \"jobsRunning\": 1\n    }\n  ]\n}\n```\n\n### Implementation Notes\n\n- NATS API mirrors REST API functionality but uses messaging\n- Job start/stop events are processed asynchronously\n- Duplicate job detection is handled (same as REST API)\n- All validation rules from REST API apply\n- Messages are logged; no responses are sent back to publishers\n- If NATS client is unavailable, API subscriptions are skipped (logged as warning)\n\n## Dependencies\n\n- Go 1.24.0+ (check go.mod for exact version)\n- Node.js (for frontend builds)\n- SQLite 3 (only supported database)\n- Optional: NATS server for NATS API integration\n","structuredPatch":[{"oldStart":241,"oldLines":13,"newStart":241,"newLines":19,"lines":["    ```json","    {","      \"main\": {","-       \"apiSubjects\": {","-         \"subjectJobEvent\": \"cc.job.event\",","-         \"subjectNodeState\": \"cc.node.state\"","+       \"api-subjects\": {","+         \"subject-job-event\": \"cc.job.event\",","+         \"subject-node-state\": \"cc.node.state\",","+         \"job-concurrency\": 8,","+         \"node-concurrency\": 2","        }","      }","    }","    ```","+   - `subject-job-event` (required): NATS subject for job start/stop events","+   - `subject-node-state` (required): NATS subject for node state updates","+   - `job-concurrency` (optional, default: 8): Number of concurrent worker goroutines for job events","+   - `node-concurrency` (optional, default: 2): Number of concurrent worker goroutines for node state events"," "," ### Message Format"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"9a78aa10-34e1-4772-a5c5-7ede65491450","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
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This is a Golang backend that provides REST and GraphQL APIs, serves a\nSvelte-based frontend, and manages job archives and metric data from various\ntime-series databases.\n\n## Build and Development Commands\n\n### Building\n\n```bash\n# Build everything (frontend + backend)\nmake\n\n# Build only the frontend\nmake frontend\n\n# Build only the backend (requires frontend to be built first)\ngo build -ldflags='-s -X main.date=$(date +\"%Y-%m-%d:T%H:%M:%S\") -X main.version=1.5.0 -X main.commit=$(git rev-parse --short HEAD)' ./cmd/cc-backend\n```\n\n### Testing\n\n```bash\n# Run all tests\nmake test\n\n# Run tests with verbose output\ngo test -v ./...\n\n# Run tests for a specific package\ngo test ./internal/repository\n```\n\n### Code Generation\n\n```bash\n# Regenerate GraphQL schema and resolvers (after modifying api/schema.graphqls)\nmake graphql\n\n# Regenerate Swagger/OpenAPI docs (after modifying API comments)\nmake swagger\n```\n\n### Frontend Development\n\n```bash\ncd web/frontend\n\n# Install dependencies\nnpm install\n\n# Build for production\nnpm run build\n\n# Development mode with watch\nnpm run dev\n```\n\n### Running\n\n```bash\n# Initialize database and create admin user\n./cc-backend -init-db -add-user demo:admin:demo\n\n# Start server in development mode (enables GraphQL Playground and Swagger UI)\n./cc-backend -server -dev -loglevel info\n\n# Start demo with sample data\n./startDemo.sh\n```\n\n## Architecture\n\n### Backend Structure\n\nThe backend follows a layered architecture with clear separation of concerns:\n\n- **cmd/cc-backend**: Entry point, orchestrates initialization of all subsystems\n- **internal/repository**: Data access layer using repository pattern\n  - Abstracts database operations (SQLite3 only)\n  - Implements LRU caching for performance\n  - Provides repositories for Job, User, Node, and Tag entities\n  - Transaction support for batch operations\n- **internal/api**: REST API endpoints (Swagger/OpenAPI documented)\n- **internal/graph**: GraphQL API (uses gqlgen)\n  - Schema in `api/schema.graphqls`\n  - Generated code in `internal/graph/generated/`\n  - Resolvers in `internal/graph/schema.resolvers.go`\n- **internal/auth**: Authentication layer\n  - Supports local accounts, LDAP, OIDC, and JWT tokens\n  - Implements rate limiting for login attempts\n- **pkg/metricstore**: Metric store with data loading API\n  - In-memory metric storage with checkpointing\n  - Query API for loading job metric data\n- **internal/archiver**: Job archiving to file-based archive\n- **internal/api/nats.go**: NATS-based API for job and node operations\n  - Subscribes to NATS subjects for job events (start/stop)\n  - Handles node state updates via NATS\n  - Uses InfluxDB line protocol message format\n- **pkg/archive**: Job archive backend implementations\n  - File system backend (default)\n  - S3 backend\n  - SQLite backend (experimental)\n  - **parquet** sub-package: Parquet format support (schema, reader, writer, conversion)\n- **internal/metricstoreclient**: Client for cc-metric-store queries\n\n### Frontend Structure\n\n- **web/frontend**: Svelte 5 application\n  - Uses Rollup for building\n  - Components organized by feature (analysis, job, user, etc.)\n  - GraphQL client using @urql/svelte\n  - Bootstrap 5 + SvelteStrap for UI\n  - uPlot for time-series visualization\n- **web/templates**: Server-side Go templates\n\n### Key Concepts\n\n**Job Archive**: Completed jobs are stored in a file-based archive following the\n[ClusterCockpit job-archive\nspecification](https://github.com/ClusterCockpit/cc-specifications/tree/master/job-archive).\nEach job has a `meta.json` file with metadata and metric data files.\n\n**Metric Data Repositories**: Time-series metric data is stored separately from\njob metadata. The system supports multiple backends (cc-metric-store is\nrecommended). Configuration is per-cluster in `config.json`.\n\n**Authentication Flow**:\n\n1. Multiple authenticators can be configured (local, LDAP, OIDC, JWT)\n2. Each authenticator's `CanLogin` method is called to determine if it should handle the request\n3. The first authenticator that returns true performs the actual `Login`\n4. JWT tokens are used for API authentication\n\n**Database Migrations**: SQL migrations in `internal/repository/migrations/sqlite3/` are\napplied automatically on startup. Version tracking in `version` table.\n\n**Scopes**: Metrics can be collected at different scopes:\n\n- Node scope (always available)\n- Core scope (for jobs with ≤8 nodes)\n- Accelerator scope (for GPU/accelerator metrics)\n\n## Configuration\n\n- **config.json**: Main configuration (clusters, metric repositories, archive settings)\n  - `main.apiSubjects`: NATS subject configuration (optional)\n    - `subjectJobEvent`: Subject for job start/stop events (e.g., \"cc.job.event\")\n    - `subjectNodeState`: Subject for node state updates (e.g., \"cc.node.state\")\n  - `nats`: NATS client connection configuration (optional)\n    - `address`: NATS server address (e.g., \"nats://localhost:4222\")\n    - `username`: Authentication username (optional)\n    - `password`: Authentication password (optional)\n    - `creds-file-path`: Path to NATS credentials file (optional)\n- **.env**: Environment variables (secrets like JWT keys)\n  - Copy from `configs/env-template.txt`\n  - NEVER commit this file\n- **cluster.json**: Cluster topology and metric definitions (loaded from archive or config)\n\n## Database\n\n- Default: SQLite 3 (`./var/job.db`)\n- Connection managed by `internal/repository`\n- Schema version in `internal/repository/migration.go`\n\n## Code Generation\n\n**GraphQL** (gqlgen):\n\n- Schema: `api/schema.graphqls`\n- Config: `gqlgen.yml`\n- Generated code: `internal/graph/generated/`\n- Custom resolvers: `internal/graph/schema.resolvers.go`\n- Run `make graphql` after schema changes\n\n**Swagger/OpenAPI**:\n\n- Annotations in `internal/api/*.go`\n- Generated docs: `internal/api/docs.go`, `api/swagger.yaml`\n- Run `make swagger` after API changes\n\n## Testing Conventions\n\n- Test files use `_test.go` suffix\n- Test data in `testdata/` subdirectories\n- Repository tests use in-memory SQLite\n- API tests use httptest\n\n## Common Workflows\n\n### Adding a new GraphQL field\n\n1. Edit schema in `api/schema.graphqls`\n2. Run `make graphql`\n3. Implement resolver in `internal/graph/schema.resolvers.go`\n\n### Adding a new REST endpoint\n\n1. Add handler in `internal/api/*.go`\n2. Add route in `internal/api/rest.go`\n3. Add Swagger annotations\n4. Run `make swagger`\n\n### Adding a new metric data backend\n\n1. Implement metric loading functions in `pkg/metricstore/query.go`\n2. Add cluster configuration to metric store initialization\n3. Update config.json schema documentation\n\n### Modifying database schema\n\n1. Create new migration in `internal/repository/migrations/sqlite3/`\n2. Increment `repository.Version`\n3. Test with fresh database and existing database\n\n## NATS API\n\nThe backend supports a NATS-based API as an alternative to the REST API for job and node operations.\n\n### Setup\n\n1. Configure NATS client connection in `config.json`:\n   ```json\n   {\n     \"nats\": {\n       \"address\": \"nats://localhost:4222\",\n       \"username\": \"user\",\n       \"password\": \"pass\"\n     }\n   }\n   ```\n\n2. Configure API subjects in `config.json` under `main`:\n   ```json\n   {\n     \"main\": {\n       \"api-subjects\": {\n         \"subject-job-event\": \"cc.job.event\",\n         \"subject-node-state\": \"cc.node.state\",\n         \"job-concurrency\": 8,\n         \"node-concurrency\": 2\n       }\n     }\n   }\n   ```\n   - `subject-job-event` (required): NATS subject for job start/stop events\n   - `subject-node-state` (required): NATS subject for node state updates\n   - `job-concurrency` (optional, default: 8): Number of concurrent worker goroutines for job events\n   - `node-concurrency` (optional, default: 2): Number of concurrent worker goroutines for node state events\n\n### Message Format\n\nMessages use **InfluxDB line protocol** format with the following structure:\n\n#### Job Events\n\n**Start Job:**\n```\njob,function=start_job event=\"{\\\"jobId\\\":123,\\\"user\\\":\\\"alice\\\",\\\"cluster\\\":\\\"test\\\", ...}\" 1234567890000000000\n```\n\n**Stop Job:**\n```\njob,function=stop_job event=\"{\\\"jobId\\\":123,\\\"cluster\\\":\\\"test\\\",\\\"startTime\\\":1234567890,\\\"stopTime\\\":1234571490,\\\"jobState\\\":\\\"completed\\\"}\" 1234571490000000000\n```\n\n**Tags:**\n- `function`: Either `start_job` or `stop_job`\n\n**Fields:**\n- `event`: JSON payload containing job data (see REST API documentation for schema)\n\n#### Node State Updates\n\n```json\n{\n  \"cluster\": \"testcluster\",\n  \"nodes\": [\n    {\n      \"hostname\": \"node001\",\n      \"states\": [\"allocated\"],\n      \"cpusAllocated\": 8,\n      \"memoryAllocated\": 16384,\n      \"gpusAllocated\": 0,\n      \"jobsRunning\": 1\n    }\n  ]\n}\n```\n\n### Implementation Notes\n\n- NATS API mirrors REST API functionality but uses messaging\n- Job start/stop events are processed asynchronously\n- Duplicate job detection is handled (same as REST API)\n- All validation rules from REST API apply\n- Messages are logged; no responses are sent back to publishers\n- If NATS client is unavailable, API subscriptions are skipped (logged as warning)\n\n## Dependencies\n\n- Go 1.24.0+ (check go.mod for exact version)\n- Node.js (for frontend builds)\n- SQLite 3 (only supported database)\n- Optional: NATS server for NATS API integration\n","structuredPatch":[{"oldStart":298,"oldLines":9,"newStart":298,"newLines":10,"lines":[" ### Implementation Notes"," "," - NATS API mirrors REST API functionality but uses messaging","-- Job start/stop events are processed asynchronously","+- Job start/stop events are processed asynchronously via configurable worker pools"," - Duplicate job detection is handled (same as REST API)"," - All validation rules from REST API apply","+- Node state updates include health checks against the metric store (identical to REST handler): nodes are grouped by subcluster, metric configurations are fetched, and `HealthCheck()` is called per subcluster. 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This is a Golang backend that provides REST and GraphQL APIs, serves a\nSvelte-based frontend, and manages job archives and metric data from various\ntime-series databases.\n\n## Build and Development Commands\n\n### Building\n\n```bash\n# Build everything (frontend + backend)\nmake\n\n# Build only the frontend\nmake frontend\n\n# Build only the backend (requires frontend to be built first)\ngo build -ldflags='-s -X main.date=$(date +\"%Y-%m-%d:T%H:%M:%S\") -X main.version=1.5.0 -X main.commit=$(git rev-parse --short HEAD)' ./cmd/cc-backend\n```\n\n### Testing\n\n```bash\n# Run all tests\nmake test\n\n# Run tests with verbose output\ngo test -v ./...\n\n# Run tests for a specific package\ngo test ./internal/repository\n```\n\n### Code Generation\n\n```bash\n# Regenerate GraphQL schema and resolvers (after modifying api/schema.graphqls)\nmake graphql\n\n# Regenerate Swagger/OpenAPI docs (after modifying API comments)\nmake swagger\n```\n\n### Frontend Development\n\n```bash\ncd web/frontend\n\n# Install dependencies\nnpm install\n\n# Build for production\nnpm run build\n\n# Development mode with watch\nnpm run dev\n```\n\n### Running\n\n```bash\n# Initialize database and create admin user\n./cc-backend -init-db -add-user demo:admin:demo\n\n# Start server in development mode (enables GraphQL Playground and Swagger UI)\n./cc-backend -server -dev -loglevel info\n\n# Start demo with sample data\n./startDemo.sh\n```\n\n## Architecture\n\n### Backend Structure\n\nThe backend follows a layered architecture with clear separation of concerns:\n\n- **cmd/cc-backend**: Entry point, orchestrates initialization of all subsystems\n- **internal/repository**: Data access layer using repository pattern\n  - Abstracts database operations (SQLite3 only)\n  - Implements LRU caching for performance\n  - Provides repositories for Job, User, Node, and Tag entities\n  - Transaction support for batch operations\n- **internal/api**: REST API endpoints (Swagger/OpenAPI documented)\n- **internal/graph**: GraphQL API (uses gqlgen)\n  - Schema in `api/schema.graphqls`\n  - Generated code in `internal/graph/generated/`\n  - Resolvers in `internal/graph/schema.resolvers.go`\n- **internal/auth**: Authentication layer\n  - Supports local accounts, LDAP, OIDC, and JWT tokens\n  - Implements rate limiting for login attempts\n- **pkg/metricstore**: Metric store with data loading API\n  - In-memory metric storage with checkpointing\n  - Query API for loading job metric data\n- **internal/archiver**: Job archiving to file-based archive\n- **internal/api/nats.go**: NATS-based API for job and node operations\n  - Subscribes to NATS subjects for job events (start/stop)\n  - Handles node state updates via NATS\n  - Uses InfluxDB line protocol message format\n- **pkg/archive**: Job archive backend implementations\n  - File system backend (default)\n  - S3 backend\n  - SQLite backend (experimental)\n  - **parquet** sub-package: Parquet format support (schema, reader, writer, conversion)\n- **internal/metricstoreclient**: Client for cc-metric-store queries\n\n### Frontend Structure\n\n- **web/frontend**: Svelte 5 application\n  - Uses Rollup for building\n  - Components organized by feature (analysis, job, user, etc.)\n  - GraphQL client using @urql/svelte\n  - Bootstrap 5 + SvelteStrap for UI\n  - uPlot for time-series visualization\n- **web/templates**: Server-side Go templates\n\n### Key Concepts\n\n**Job Archive**: Completed jobs are stored in a file-based archive following the\n[ClusterCockpit job-archive\nspecification](https://github.com/ClusterCockpit/cc-specifications/tree/master/job-archive).\nEach job has a `meta.json` file with metadata and metric data files.\n\n**Metric Data Repositories**: Time-series metric data is stored separately from\njob metadata. The system supports multiple backends (cc-metric-store is\nrecommended). Configuration is per-cluster in `config.json`.\n\n**Authentication Flow**:\n\n1. Multiple authenticators can be configured (local, LDAP, OIDC, JWT)\n2. Each authenticator's `CanLogin` method is called to determine if it should handle the request\n3. The first authenticator that returns true performs the actual `Login`\n4. JWT tokens are used for API authentication\n\n**Database Migrations**: SQL migrations in `internal/repository/migrations/sqlite3/` are\napplied automatically on startup. Version tracking in `version` table.\n\n**Scopes**: Metrics can be collected at different scopes:\n\n- Node scope (always available)\n- Core scope (for jobs with ≤8 nodes)\n- Accelerator scope (for GPU/accelerator metrics)\n\n## Configuration\n\n- **config.json**: Main configuration (clusters, metric repositories, archive settings)\n  - `main.apiSubjects`: NATS subject configuration (optional)\n    - `subjectJobEvent`: Subject for job start/stop events (e.g., \"cc.job.event\")\n    - `subjectNodeState`: Subject for node state updates (e.g., \"cc.node.state\")\n  - `nats`: NATS client connection configuration (optional)\n    - `address`: NATS server address (e.g., \"nats://localhost:4222\")\n    - `username`: Authentication username (optional)\n    - `password`: Authentication password (optional)\n    - `creds-file-path`: Path to NATS credentials file (optional)\n- **.env**: Environment variables (secrets like JWT keys)\n  - Copy from `configs/env-template.txt`\n  - NEVER commit this file\n- **cluster.json**: Cluster topology and metric definitions (loaded from archive or config)\n\n## Database\n\n- Default: SQLite 3 (`./var/job.db`)\n- Connection managed by `internal/repository`\n- Schema version in `internal/repository/migration.go`\n\n## Code Generation\n\n**GraphQL** (gqlgen):\n\n- Schema: `api/schema.graphqls`\n- Config: `gqlgen.yml`\n- Generated code: `internal/graph/generated/`\n- Custom resolvers: `internal/graph/schema.resolvers.go`\n- Run `make graphql` after schema changes\n\n**Swagger/OpenAPI**:\n\n- Annotations in `internal/api/*.go`\n- Generated docs: `internal/api/docs.go`, `api/swagger.yaml`\n- Run `make swagger` after API changes\n\n## Testing Conventions\n\n- Test files use `_test.go` suffix\n- Test data in `testdata/` subdirectories\n- Repository tests use in-memory SQLite\n- API tests use httptest\n\n## Common Workflows\n\n### Adding a new GraphQL field\n\n1. Edit schema in `api/schema.graphqls`\n2. Run `make graphql`\n3. Implement resolver in `internal/graph/schema.resolvers.go`\n\n### Adding a new REST endpoint\n\n1. Add handler in `internal/api/*.go`\n2. Add route in `internal/api/rest.go`\n3. Add Swagger annotations\n4. Run `make swagger`\n\n### Adding a new metric data backend\n\n1. Implement metric loading functions in `pkg/metricstore/query.go`\n2. Add cluster configuration to metric store initialization\n3. Update config.json schema documentation\n\n### Modifying database schema\n\n1. Create new migration in `internal/repository/migrations/sqlite3/`\n2. Increment `repository.Version`\n3. Test with fresh database and existing database\n\n## NATS API\n\nThe backend supports a NATS-based API as an alternative to the REST API for job and node operations.\n\n### Setup\n\n1. Configure NATS client connection in `config.json`:\n   ```json\n   {\n     \"nats\": {\n       \"address\": \"nats://localhost:4222\",\n       \"username\": \"user\",\n       \"password\": \"pass\"\n     }\n   }\n   ```\n\n2. Configure API subjects in `config.json` under `main`:\n   ```json\n   {\n     \"main\": {\n       \"api-subjects\": {\n         \"subject-job-event\": \"cc.job.event\",\n         \"subject-node-state\": \"cc.node.state\",\n         \"job-concurrency\": 8,\n         \"node-concurrency\": 2\n       }\n     }\n   }\n   ```\n   - `subject-job-event` (required): NATS subject for job start/stop events\n   - `subject-node-state` (required): NATS subject for node state updates\n   - `job-concurrency` (optional, default: 8): Number of concurrent worker goroutines for job events\n   - `node-concurrency` (optional, default: 2): Number of concurrent worker goroutines for node state events\n\n### Message Format\n\nMessages use **InfluxDB line protocol** format with the following structure:\n\n#### Job Events\n\n**Start Job:**\n```\njob,function=start_job event=\"{\\\"jobId\\\":123,\\\"user\\\":\\\"alice\\\",\\\"cluster\\\":\\\"test\\\", ...}\" 1234567890000000000\n```\n\n**Stop Job:**\n```\njob,function=stop_job event=\"{\\\"jobId\\\":123,\\\"cluster\\\":\\\"test\\\",\\\"startTime\\\":1234567890,\\\"stopTime\\\":1234571490,\\\"jobState\\\":\\\"completed\\\"}\" 1234571490000000000\n```\n\n**Tags:**\n- `function`: Either `start_job` or `stop_job`\n\n**Fields:**\n- `event`: JSON payload containing job data (see REST API documentation for schema)\n\n#### Node State Updates\n\n```json\n{\n  \"cluster\": \"testcluster\",\n  \"nodes\": [\n    {\n      \"hostname\": \"node001\",\n      \"states\": [\"allocated\"],\n      \"cpusAllocated\": 8,\n      \"memoryAllocated\": 16384,\n      \"gpusAllocated\": 0,\n      \"jobsRunning\": 1\n    }\n  ]\n}\n```\n\n### Implementation Notes\n\n- NATS API mirrors REST API functionality but uses messaging\n- Job start/stop events are processed asynchronously via configurable worker pools\n- Duplicate job detection is handled (same as REST API)\n- All validation rules from REST API apply\n- Node state updates include health checks against the metric store (identical to REST handler): nodes are grouped by subcluster, metric configurations are fetched, and `HealthCheck()` is called per subcluster. Nodes default to `MonitoringStateFailed` if no health data is available.\n- Messages are logged; no responses are sent back to publishers\n- If NATS client is unavailable, API subscriptions are skipped (logged as warning)\n\n## Dependencies\n\n- Go 1.24.0+ (check go.mod for exact version)\n- Node.js (for frontend builds)\n- SQLite 3 (only supported database)\n- Optional: NATS server for NATS API integration\n","structuredPatch":[{"oldStart":151,"oldLines":9,"newStart":151,"newLines":11,"lines":[" ## Configuration"," "," - **config.json**: Main configuration (clusters, metric repositories, archive settings)","-  - `main.apiSubjects`: NATS subject configuration (optional)","-    - `subjectJobEvent`: Subject for job start/stop events (e.g., \"cc.job.event\")","-    - `subjectNodeState`: Subject for node state updates (e.g., \"cc.node.state\")","+  - `main.api-subjects`: NATS subject configuration (optional)","+    - `subject-job-event`: Subject for job start/stop events (e.g., \"cc.job.event\")","+    - `subject-node-state`: Subject for node state updates (e.g., \"cc.node.state\")","+    - `job-concurrency`: Worker goroutines for job events (default: 8)","+    - `node-concurrency`: Worker goroutines for node state events (default: 2)","   - `nats`: NATS client connection configuration (optional)","     - `address`: NATS server address (e.g., \"nats://localhost:4222\")","     - `username`: Authentication username (optional)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"c3ae819c-53f4-4110-9827-43365f41239f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
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+{"parentUuid":null,"isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"b00ef795-93ec-48c5-8adf-d49a96a2ed32","toolUseID":"b00ef795-93ec-48c5-8adf-d49a96a2ed32","timestamp":"2026-03-16T10:12:34.962Z","uuid":"62323b49-5343-4dbc-9e12-4595d1cbe76a","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"62323b49-5343-4dbc-9e12-4595d1cbe76a","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Fix: SQLite Write Contention Causing OOM Crash\n\n## Context\n\nThe server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.\n\n**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.\n\nThe cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.\n\n---\n\n## Fix 1: Increase busy_timeout (contention relief)\n\n**File:** `internal/repository/dbConnection.go:73`\n\nChange `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:\n\n**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.\n\n**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.\n\n**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.\n\nWith 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.\n\n---\n\n## Fix 2: Batch Node State Updates in a Transaction\n\nCurrently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.\n\n**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:\n- Accept a slice of `(hostname, cluster, nodeState)` tuples\n- Begin transaction\n- For each node: lookup ID (or insert node), then insert state — all within the same transaction\n- Commit once\n\n**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.\n\n**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).\n\nKeep the existing `UpdateNodeState` method for single-node use cases.\n\n---\n\n## Fix 3: Fix LDAP Sync Race Condition\n\nThe LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.\n\n**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:\n```go\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n    rolesJson, _ := json.Marshal(user.Roles)\n    projectsJson, _ := json.Marshal(user.Projects)\n    cols := \"username, name, roles, projects, ldap\"\n    _, err := r.DB.Exec(\n        `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,\n        user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n    return err\n}\n```\n\n**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.\n\nNote: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.\n\n---\n\n## Fix 4: Add Semaphore for NATS Handlers\n\nWithout rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.\n\n**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:\n```go\ntype NatsAPI struct {\n    JobRepository   *repository.JobRepository\n    RepositoryMutex sync.Mutex\n    jobSem          chan struct{}\n    nodeSem         chan struct{}\n}\n```\n\nInitialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.\n\nAdd acquire/release in `handleJobEvent` and `handleNodeState`:\n```go\napi.jobSem <- struct{}{}\ndefer func() { <-api.jobSem }()\n```\n\nThis caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.\n\n---\n\n## Fix 5: Wrap SyncJobs in a Transaction\n\n**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)\n\nCurrently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:\n- `tx, err := r.DB.Beginx()`\n- Run all three operations on `tx`\n- `tx.Commit()`\n- Do the read-only ID resolution outside the transaction\n\nThis reduces lock acquisitions from 3 to 1 and ensures atomicity.\n\n---\n\n## Implementation Order\n\n1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact\n2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change\n3. **Fix 2** (batch node states) — biggest contention reduction\n4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction\n5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation\n\n---\n\n## Verification\n\n1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.\n2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.\n3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.\n4. Run `go test ./internal/repository/... ./internal/api/... ./internal/auth/...` after all changes.\n5. Load test: simulate burst of 100+ concurrent job start/stop events + node state update with 500 nodes + LDAP sync running simultaneously. Monitor goroutine count and memory.\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/d36fdafb-27dd-4101-b89a-e2bec3f83825.jsonl"},"uuid":"0cc8876b-10ce-4edf-943f-0617397039d7","timestamp":"2026-03-16T10:12:34.796Z","planContent":"# Fix: SQLite Write Contention Causing OOM Crash\n\n## Context\n\nThe server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.\n\n**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.\n\nThe cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.\n\n---\n\n## Fix 1: Increase busy_timeout (contention relief)\n\n**File:** `internal/repository/dbConnection.go:73`\n\nChange `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:\n\n**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.\n\n**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.\n\n**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.\n\nWith 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.\n\n---\n\n## Fix 2: Batch Node State Updates in a Transaction\n\nCurrently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.\n\n**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:\n- Accept a slice of `(hostname, cluster, nodeState)` tuples\n- Begin transaction\n- For each node: lookup ID (or insert node), then insert state — all within the same transaction\n- Commit once\n\n**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.\n\n**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).\n\nKeep the existing `UpdateNodeState` method for single-node use cases.\n\n---\n\n## Fix 3: Fix LDAP Sync Race Condition\n\nThe LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.\n\n**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:\n```go\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n    rolesJson, _ := json.Marshal(user.Roles)\n    projectsJson, _ := json.Marshal(user.Projects)\n    cols := \"username, name, roles, projects, ldap\"\n    _, err := r.DB.Exec(\n        `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,\n        user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n    return err\n}\n```\n\n**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.\n\nNote: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.\n\n---\n\n## Fix 4: Add Semaphore for NATS Handlers\n\nWithout rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.\n\n**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:\n```go\ntype NatsAPI struct {\n    JobRepository   *repository.JobRepository\n    RepositoryMutex sync.Mutex\n    jobSem          chan struct{}\n    nodeSem         chan struct{}\n}\n```\n\nInitialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.\n\nAdd acquire/release in `handleJobEvent` and `handleNodeState`:\n```go\napi.jobSem <- struct{}{}\ndefer func() { <-api.jobSem }()\n```\n\nThis caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.\n\n---\n\n## Fix 5: Wrap SyncJobs in a Transaction\n\n**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)\n\nCurrently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:\n- `tx, err := r.DB.Beginx()`\n- Run all three operations on `tx`\n- `tx.Commit()`\n- Do the read-only ID resolution outside the transaction\n\nThis reduces lock acquisitions from 3 to 1 and ensures atomicity.\n\n---\n\n## Implementation Order\n\n1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact\n2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change\n3. **Fix 2** (batch node states) — biggest contention reduction\n4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction\n5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation\n\n---\n\n## Verification\n\n1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.\n2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.\n3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.\n4. Run `go test ./internal/repository/... ./internal/api/... ./internal/auth/...` after all changes.\n5. Load test: simulate burst of 100+ concurrent job start/stop events + node state update with 500 nodes + LDAP sync running simultaneously. Monitor goroutine count and memory.\n","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"0cc8876b-10ce-4edf-943f-0617397039d7","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EogCCkYICxgCKkBW59RCY6tGSB56nAGA//z3lRvJEDn5iJLOClMZGjxNRiWuAGiCmaIgNTdta1Sy/TNzx1kW0Sge7rGR/PxRSRnzEgxrFv+VHTFTR4clEKEaDKuKPoUxVzMZVaZOcCIwSK/bX+m7pbn9zNbcObjeGbtEDnVl0XG+IWu13/bGiaxsvKlev7b3kMGDZZMYJ4PDKnA+xKfCbHmkjIUA2GiAZssRADapW2wdfwvf2TjdNKGhvAUmpIn22yVZAzKMoknki+EsxETxurlV826f8SUVQWHw2gyAIAGvUmo50dlWOQyFl8FHykjapLmt1VYXaRxmaxdvoRGB6c2paNwsN0gPxnuWGAE="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"05234723-9c30-4f6a-906f-0a704bf53634","timestamp":"2026-03-16T10:12:38.222Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"05234723-9c30-4f6a-906f-0a704bf53634","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"text","text":"I'll start by reading all the files that need to be modified."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"be91377f-2d87-4886-832a-0c3f66162a68","timestamp":"2026-03-16T10:12:38.666Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"be91377f-2d87-4886-832a-0c3f66162a68","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TzRH5T8DTsP1Dn1zhjYuLh","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/dbConnection.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"0e3b4b9e-99f8-48be-903e-a49279316f25","timestamp":"2026-03-16T10:12:39.531Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"0e3b4b9e-99f8-48be-903e-a49279316f25","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01TzRH5T8DTsP1Dn1zhjYuLh","toolUseID":"toolu_01TzRH5T8DTsP1Dn1zhjYuLh","timestamp":"2026-03-16T10:12:39.545Z","uuid":"9a0f39be-6570-40f2-ac77-182757e68941","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"0e3b4b9e-99f8-48be-903e-a49279316f25","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TzRH5T8DTsP1Dn1zhjYuLh","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"database/sql\"\n    10→\t\"fmt\"\n    11→\t\"net/url\"\n    12→\t\"sync\"\n    13→\t\"time\"\n    14→\n    15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    16→\t\"github.com/jmoiron/sqlx\"\n    17→\t\"github.com/mattn/go-sqlite3\"\n    18→\t\"github.com/qustavo/sqlhooks/v2\"\n    19→)\n    20→\n    21→var (\n    22→\tdbConnOnce     sync.Once\n    23→\tdbConnInstance *DBConnection\n    24→)\n    25→\n    26→type DBConnection struct {\n    27→\tDB     *sqlx.DB\n    28→\tDriver string\n    29→}\n    30→\n    31→type DatabaseOptions struct {\n    32→\tURL                   string\n    33→\tMaxOpenConnections    int\n    34→\tMaxIdleConnections    int\n    35→\tConnectionMaxLifetime time.Duration\n    36→\tConnectionMaxIdleTime time.Duration\n    37→}\n    38→\n    39→func setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n    40→\tpragmas := []string{\n    41→\t\t\"temp_store = memory\",\n    42→\t\tfmt.Sprintf(\"soft_heap_limit = %d\", int64(cfg.DbSoftHeapLimitMB)*1024*1024),\n    43→\t}\n    44→\n    45→\tfor _, pragma := range pragmas {\n    46→\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n    47→\t\tif err != nil {\n    48→\t\t\treturn err\n    49→\t\t}\n    50→\t}\n    51→\n    52→\treturn nil\n    53→}\n    54→\n    55→func Connect(db string) {\n    56→\tvar err error\n    57→\tvar dbHandle *sqlx.DB\n    58→\n    59→\tdbConnOnce.Do(func() {\n    60→\t\topts := DatabaseOptions{\n    61→\t\t\tURL:                   db,\n    62→\t\t\tMaxOpenConnections:    repoConfig.MaxOpenConnections,\n    63→\t\t\tMaxIdleConnections:    repoConfig.MaxIdleConnections,\n    64→\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n    65→\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n    66→\t\t}\n    67→\n    68→\t\t// TODO: Have separate DB handles for Writes and Reads\n    69→\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n    70→\t\tconnectionURLParams := make(url.Values)\n    71→\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n    72→\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n    73→\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n    74→\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n    75→\t\tcacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\n    76→\t\tconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))\n    77→\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n    78→\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n    79→\n    80→\t\tif cclog.Loglevel() == \"debug\" {\n    81→\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n    82→\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n    83→\t\t} else {\n    84→\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n    85→\t\t}\n    86→\n    87→\t\tif err != nil {\n    88→\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n    89→\t\t}\n    90→\n    91→\t\terr = setupSqlite(dbHandle.DB, repoConfig)\n    92→\t\tif err != nil {\n    93→\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n    94→\t\t}\n    95→\n    96→\t\tcclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n    97→\t\t\trepoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n    98→\n    99→\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n   100→\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n   101→\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n   102→\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n   103→\n   104→\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n   105→\t\terr = checkDBVersion(dbHandle.DB)\n   106→\t\tif err != nil {\n   107→\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n   108→\t\t}\n   109→\t})\n   110→}\n   111→\n   112→func GetConnection() *DBConnection {\n   113→\tif dbConnInstance == nil {\n   114→\t\tcclog.Fatalf(\"Database connection not initialized!\")\n   115→\t}\n   116→\n   117→\treturn dbConnInstance\n   118→}\n   119→\n   120→// ResetConnection closes the current database connection and resets the connection state.\n   121→// This function is intended for testing purposes only to allow test isolation.\n   122→func ResetConnection() error {\n   123→\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n   124→\t\tif err := dbConnInstance.DB.Close(); err != nil {\n   125→\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n   126→\t\t}\n   127→\t}\n   128→\n   129→\tdbConnInstance = nil\n   130→\tdbConnOnce = sync.Once{}\n   131→\tjobRepoInstance = nil\n   132→\tjobRepoOnce = sync.Once{}\n   133→\tnodeRepoInstance = nil\n   134→\tnodeRepoOnce = sync.Once{}\n   135→\tuserRepoInstance = nil\n   136→\tuserRepoOnce = sync.Once{}\n   137→\tuserCfgRepoInstance = nil\n   138→\tuserCfgRepoOnce = sync.Once{}\n   139→\n   140→\treturn nil\n   141→}\n   142→"}]},"uuid":"053ca6d0-ed8d-4c44-8b34-5684b920c55c","timestamp":"2026-03-16T10:12:39.544Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/dbConnection.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"fmt\"\n\t\"net/url\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"github.com/mattn/go-sqlite3\"\n\t\"github.com/qustavo/sqlhooks/v2\"\n)\n\nvar (\n\tdbConnOnce     sync.Once\n\tdbConnInstance *DBConnection\n)\n\ntype DBConnection struct {\n\tDB     *sqlx.DB\n\tDriver string\n}\n\ntype DatabaseOptions struct {\n\tURL                   string\n\tMaxOpenConnections    int\n\tMaxIdleConnections    int\n\tConnectionMaxLifetime time.Duration\n\tConnectionMaxIdleTime time.Duration\n}\n\nfunc setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t\tfmt.Sprintf(\"soft_heap_limit = %d\", int64(cfg.DbSoftHeapLimitMB)*1024*1024),\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc Connect(db string) {\n\tvar err error\n\tvar dbHandle *sqlx.DB\n\n\tdbConnOnce.Do(func() {\n\t\topts := DatabaseOptions{\n\t\t\tURL:                   db,\n\t\t\tMaxOpenConnections:    repoConfig.MaxOpenConnections,\n\t\t\tMaxIdleConnections:    repoConfig.MaxIdleConnections,\n\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n\t\t}\n\n\t\t// TODO: Have separate DB handles for Writes and Reads\n\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n\t\tconnectionURLParams := make(url.Values)\n\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n\t\tcacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\n\t\tconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))\n\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n\n\t\tif cclog.Loglevel() == \"debug\" {\n\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n\t\t} else {\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n\t\t}\n\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\terr = setupSqlite(dbHandle.DB, repoConfig)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tcclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n\t\t\trepoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n\n\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n\t\terr = checkDBVersion(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n\t\t}\n\t})\n}\n\nfunc GetConnection() *DBConnection {\n\tif dbConnInstance == nil {\n\t\tcclog.Fatalf(\"Database connection not initialized!\")\n\t}\n\n\treturn dbConnInstance\n}\n\n// ResetConnection closes the current database connection and resets the connection state.\n// This function is intended for testing purposes only to allow test isolation.\nfunc ResetConnection() error {\n\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n\t\tif err := dbConnInstance.DB.Close(); err != nil {\n\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n\t\t}\n\t}\n\n\tdbConnInstance = nil\n\tdbConnOnce = sync.Once{}\n\tjobRepoInstance = nil\n\tjobRepoOnce = sync.Once{}\n\tnodeRepoInstance = nil\n\tnodeRepoOnce = sync.Once{}\n\tuserRepoInstance = nil\n\tuserRepoOnce = sync.Once{}\n\tuserCfgRepoInstance = nil\n\tuserCfgRepoOnce = sync.Once{}\n\n\treturn nil\n}\n","numLines":142,"startLine":1,"totalLines":142}},"sourceToolAssistantUUID":"0e3b4b9e-99f8-48be-903e-a49279316f25","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"352d7440-d01b-4d22-bd9c-3f56616211e2","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012orF9pg72YJWFiTr5U3zzS","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import \"time\"\n     9→\n    10→// RepositoryConfig holds configuration for repository operations.\n    11→// All fields have sensible defaults, so this configuration is optional.\n    12→type RepositoryConfig struct {\n    13→\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n    14→\t// Default: 1MB (1024 * 1024 bytes)\n    15→\tCacheSize int\n    16→\n    17→\t// MaxOpenConnections is the maximum number of open database connections.\n    18→\t// Default: 4\n    19→\tMaxOpenConnections int\n    20→\n    21→\t// MaxIdleConnections is the maximum number of idle database connections.\n    22→\t// Default: 4\n    23→\tMaxIdleConnections int\n    24→\n    25→\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n    26→\t// Default: 1 hour\n    27→\tConnectionMaxLifetime time.Duration\n    28→\n    29→\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n    30→\t// Default: 10 minutes\n    31→\tConnectionMaxIdleTime time.Duration\n    32→\n    33→\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n    34→\t// considered in \"running jobs\" queries. This filters out very short jobs.\n    35→\t// Default: 600 seconds (10 minutes)\n    36→\tMinRunningJobDuration int\n    37→\n    38→\t// DbCacheSizeMB is the SQLite page cache size per connection in MB.\n    39→\t// Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n    40→\t// and DbCacheSizeMB=2048, total page cache is up to 8GB.\n    41→\t// Default: 2048 (2GB)\n    42→\tDbCacheSizeMB int\n    43→\n    44→\t// DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n    45→\t// SQLite will try to release cache pages to stay under this limit.\n    46→\t// It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n    47→\t// Default: 16384 (16GB)\n    48→\tDbSoftHeapLimitMB int\n    49→}\n    50→\n    51→// DefaultConfig returns the default repository configuration.\n    52→// These values are optimized for typical deployments.\n    53→func DefaultConfig() *RepositoryConfig {\n    54→\treturn &RepositoryConfig{\n    55→\t\tCacheSize:             1 * 1024 * 1024, // 1MB\n    56→\t\tMaxOpenConnections:    4,\n    57→\t\tMaxIdleConnections:    4,\n    58→\t\tConnectionMaxLifetime: time.Hour,\n    59→\t\tConnectionMaxIdleTime: 10 * time.Minute,\n    60→\t\tMinRunningJobDuration: 600, // 10 minutes\n    61→\t\tDbCacheSizeMB:        2048,  // 2GB per connection\n    62→\t\tDbSoftHeapLimitMB:    16384, // 16GB process-wide\n    63→\t}\n    64→}\n    65→\n    66→// repoConfig is the package-level configuration instance.\n    67→// It is initialized with defaults and can be overridden via SetConfig.\n    68→var repoConfig *RepositoryConfig = DefaultConfig()\n    69→\n    70→// SetConfig sets the repository configuration.\n    71→// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n    72→// If not called, default values from DefaultConfig() are used.\n    73→func SetConfig(cfg *RepositoryConfig) {\n    74→\tif cfg != nil {\n    75→\t\trepoConfig = cfg\n    76→\t}\n    77→}\n    78→\n    79→// GetConfig returns the current repository configuration.\n    80→func GetConfig() *RepositoryConfig {\n    81→\treturn repoConfig\n    82→}\n    83→"}]},"uuid":"85257af6-41af-4431-9199-d7d5cd1f1c06","timestamp":"2026-03-16T10:12:40.045Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/config.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport \"time\"\n\n// RepositoryConfig holds configuration for repository operations.\n// All fields have sensible defaults, so this configuration is optional.\ntype RepositoryConfig struct {\n\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n\t// Default: 1MB (1024 * 1024 bytes)\n\tCacheSize int\n\n\t// MaxOpenConnections is the maximum number of open database connections.\n\t// Default: 4\n\tMaxOpenConnections int\n\n\t// MaxIdleConnections is the maximum number of idle database connections.\n\t// Default: 4\n\tMaxIdleConnections int\n\n\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n\t// Default: 1 hour\n\tConnectionMaxLifetime time.Duration\n\n\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n\t// Default: 10 minutes\n\tConnectionMaxIdleTime time.Duration\n\n\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n\t// considered in \"running jobs\" queries. This filters out very short jobs.\n\t// Default: 600 seconds (10 minutes)\n\tMinRunningJobDuration int\n\n\t// DbCacheSizeMB is the SQLite page cache size per connection in MB.\n\t// Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n\t// and DbCacheSizeMB=2048, total page cache is up to 8GB.\n\t// Default: 2048 (2GB)\n\tDbCacheSizeMB int\n\n\t// DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n\t// SQLite will try to release cache pages to stay under this limit.\n\t// It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n\t// Default: 16384 (16GB)\n\tDbSoftHeapLimitMB int\n}\n\n// DefaultConfig returns the default repository configuration.\n// These values are optimized for typical deployments.\nfunc DefaultConfig() *RepositoryConfig {\n\treturn &RepositoryConfig{\n\t\tCacheSize:             1 * 1024 * 1024, // 1MB\n\t\tMaxOpenConnections:    4,\n\t\tMaxIdleConnections:    4,\n\t\tConnectionMaxLifetime: time.Hour,\n\t\tConnectionMaxIdleTime: 10 * time.Minute,\n\t\tMinRunningJobDuration: 600, // 10 minutes\n\t\tDbCacheSizeMB:        2048,  // 2GB per connection\n\t\tDbSoftHeapLimitMB:    16384, // 16GB process-wide\n\t}\n}\n\n// repoConfig is the package-level configuration instance.\n// It is initialized with defaults and can be overridden via SetConfig.\nvar repoConfig *RepositoryConfig = DefaultConfig()\n\n// SetConfig sets the repository configuration.\n// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n// If not called, default values from DefaultConfig() are used.\nfunc SetConfig(cfg *RepositoryConfig) {\n\tif cfg != nil {\n\t\trepoConfig = cfg\n\t}\n}\n\n// GetConfig returns the current repository configuration.\nfunc GetConfig() *RepositoryConfig {\n\treturn repoConfig\n}\n","numLines":83,"startLine":1,"totalLines":83}},"sourceToolAssistantUUID":"352d7440-d01b-4d22-bd9c-3f56616211e2","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"641c9a76-91d8-4156-a19d-7ccb6d93cf69","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ApteHWPiKLmA7YP4uFfRyv","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package archive\n     7→\n     8→import (\n     9→\t\"bytes\"\n    10→\t\"compress/gzip\"\n    11→\t\"database/sql\"\n    12→\t\"encoding/json\"\n    13→\t\"fmt\"\n    14→\t\"io\"\n    15→\t\"math\"\n    16→\t\"os\"\n    17→\t\"slices\"\n    18→\t\"strconv\"\n    19→\t\"sync\"\n    20→\t\"text/tabwriter\"\n    21→\t\"time\"\n    22→\n    23→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    24→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    25→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    26→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n    27→\t_ \"github.com/mattn/go-sqlite3\"\n    28→)\n    29→\n    30→// SqliteArchiveConfig holds the configuration for the SQLite archive backend.\n    31→type SqliteArchiveConfig struct {\n    32→\tDBPath string `json:\"db-path\"` // Path to SQLite database file\n    33→}\n    34→\n    35→// SqliteArchive implements ArchiveBackend using a SQLite database with BLOB storage.\n    36→// Job metadata and data are stored as JSON BLOBs with indexes for fast queries.\n    37→//\n    38→// Uses WAL (Write-Ahead Logging) mode for better concurrency and a 64MB cache.\n    39→type SqliteArchive struct {\n    40→\tdb       *sql.DB  // SQLite database connection\n    41→\tclusters []string // List of discovered cluster names\n    42→}\n    43→\n    44→// sqliteSchema defines the database schema for SQLite archive backend.\n    45→// Jobs table: stores job metadata and data as BLOBs with compression flag\n    46→// Clusters table: stores cluster configurations\n    47→// Metadata table: stores version and other key-value pairs\n    48→const sqliteSchema = `\n    49→CREATE TABLE IF NOT EXISTS jobs (\n    50→    id INTEGER PRIMARY KEY AUTOINCREMENT,\n    51→    job_id INTEGER NOT NULL,\n    52→    cluster TEXT NOT NULL,\n    53→    start_time INTEGER NOT NULL,\n    54→    meta_json BLOB NOT NULL,\n    55→    data_json BLOB,\n    56→    data_compressed BOOLEAN DEFAULT 0,\n    57→    created_at INTEGER NOT NULL,\n    58→    updated_at INTEGER NOT NULL,\n    59→    UNIQUE(job_id, cluster, start_time)\n    60→);\n    61→\n    62→CREATE INDEX IF NOT EXISTS idx_jobs_cluster ON jobs(cluster);\n    63→CREATE INDEX IF NOT EXISTS idx_jobs_start_time ON jobs(start_time);\n    64→CREATE INDEX IF NOT EXISTS idx_jobs_order ON jobs(cluster, start_time);\n    65→CREATE INDEX IF NOT EXISTS idx_jobs_lookup ON jobs(cluster, job_id, start_time);\n    66→\n    67→CREATE TABLE IF NOT EXISTS clusters (\n    68→    name TEXT PRIMARY KEY,\n    69→    config_json BLOB NOT NULL,\n    70→    updated_at INTEGER NOT NULL\n    71→);\n    72→\n    73→CREATE TABLE IF NOT EXISTS metadata (\n    74→    key TEXT PRIMARY KEY,\n    75→    value TEXT NOT NULL\n    76→);\n    77→`\n    78→\n    79→func (sa *SqliteArchive) Init(rawConfig json.RawMessage) (uint64, error) {\n    80→\tvar cfg SqliteArchiveConfig\n    81→\tif err := json.Unmarshal(rawConfig, &cfg); err != nil {\n    82→\t\tcclog.Warnf(\"SqliteArchive Init() > Unmarshal error: %#v\", err)\n    83→\t\treturn 0, err\n    84→\t}\n    85→\n    86→\tif cfg.DBPath == \"\" {\n    87→\t\terr := fmt.Errorf(\"SqliteArchive Init(): empty database path\")\n    88→\t\tcclog.Errorf(\"SqliteArchive Init() > config error: %v\", err)\n    89→\t\treturn 0, err\n    90→\t}\n    91→\n    92→\t// Open SQLite database\n    93→\tdb, err := sql.Open(\"sqlite3\", cfg.DBPath)\n    94→\tif err != nil {\n    95→\t\tcclog.Errorf(\"SqliteArchive Init() > failed to open database: %v\", err)\n    96→\t\treturn 0, err\n    97→\t}\n    98→\tsa.db = db\n    99→\n   100→\t// Set pragmas for better performance\n   101→\tpragmas := []string{\n   102→\t\t\"PRAGMA journal_mode=WAL\",\n   103→\t\t\"PRAGMA synchronous=NORMAL\",\n   104→\t\t\"PRAGMA cache_size=-64000\", // 64MB cache\n   105→\t\t\"PRAGMA busy_timeout=5000\",\n   106→\t}\n   107→\tfor _, pragma := range pragmas {\n   108→\t\tif _, err := sa.db.Exec(pragma); err != nil {\n   109→\t\t\tcclog.Warnf(\"SqliteArchive Init() > pragma failed: %v\", err)\n   110→\t\t}\n   111→\t}\n   112→\n   113→\t// Create schema\n   114→\tif _, err := sa.db.Exec(sqliteSchema); err != nil {\n   115→\t\tcclog.Errorf(\"SqliteArchive Init() > schema creation failed: %v\", err)\n   116→\t\treturn 0, err\n   117→\t}\n   118→\n   119→\t// Check/set version\n   120→\tvar versionStr string\n   121→\terr = sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'version'\").Scan(&versionStr)\n   122→\tif err == sql.ErrNoRows {\n   123→\t\t// First time initialization, set version\n   124→\t\t_, err = sa.db.Exec(\"INSERT INTO metadata (key, value) VALUES ('version', ?)\", fmt.Sprintf(\"%d\", Version))\n   125→\t\tif err != nil {\n   126→\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to set version: %v\", err)\n   127→\t\t\treturn 0, err\n   128→\t\t}\n   129→\t\tversionStr = fmt.Sprintf(\"%d\", Version)\n   130→\t} else if err != nil {\n   131→\t\tcclog.Errorf(\"SqliteArchive Init() > failed to read version: %v\", err)\n   132→\t\treturn 0, err\n   133→\t}\n   134→\n   135→\tversion, err := strconv.ParseUint(versionStr, 10, 64)\n   136→\tif err != nil {\n   137→\t\tcclog.Errorf(\"SqliteArchive Init() > version parse error: %v\", err)\n   138→\t\treturn 0, err\n   139→\t}\n   140→\n   141→\tif version != Version {\n   142→\t\treturn version, fmt.Errorf(\"unsupported version %d, need %d\", version, Version)\n   143→\t}\n   144→\n   145→\t// Discover clusters\n   146→\tsa.clusters = []string{}\n   147→\trows, err := sa.db.Query(\"SELECT DISTINCT cluster FROM jobs ORDER BY cluster\")\n   148→\tif err != nil {\n   149→\t\tcclog.Errorf(\"SqliteArchive Init() > failed to query clusters: %v\", err)\n   150→\t\treturn 0, err\n   151→\t}\n   152→\tdefer rows.Close()\n   153→\n   154→\tfor rows.Next() {\n   155→\t\tvar cluster string\n   156→\t\tif err := rows.Scan(&cluster); err != nil {\n   157→\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to scan cluster: %v\", err)\n   158→\t\t\tcontinue\n   159→\t\t}\n   160→\t\tsa.clusters = append(sa.clusters, cluster)\n   161→\t}\n   162→\n   163→\tcclog.Infof(\"SqliteArchive initialized with database '%s', found %d clusters\", cfg.DBPath, len(sa.clusters))\n   164→\treturn version, nil\n   165→}\n   166→\n   167→func (sa *SqliteArchive) Info() {\n   168→\tfmt.Printf(\"SQLite Job archive database\\n\")\n   169→\n   170→\tci := make(map[string]*clusterInfo)\n   171→\n   172→\trows, err := sa.db.Query(`\n   173→\t\tSELECT cluster, COUNT(*), MIN(start_time), MAX(start_time),\n   174→\t\t       SUM(LENGTH(meta_json) + COALESCE(LENGTH(data_json), 0))\n   175→\t\tFROM jobs\n   176→\t\tGROUP BY cluster\n   177→\t`)\n   178→\tif err != nil {\n   179→\t\tcclog.Fatalf(\"SqliteArchive Info() > query failed: %s\", err.Error())\n   180→\t}\n   181→\tdefer rows.Close()\n   182→\n   183→\tfor rows.Next() {\n   184→\t\tvar cluster string\n   185→\t\tvar numJobs int\n   186→\t\tvar dateFirst, dateLast int64\n   187→\t\tvar diskSize int64\n   188→\n   189→\t\tif err := rows.Scan(&cluster, &numJobs, &dateFirst, &dateLast, &diskSize); err != nil {\n   190→\t\t\tcclog.Errorf(\"SqliteArchive Info() > scan failed: %v\", err)\n   191→\t\t\tcontinue\n   192→\t\t}\n   193→\n   194→\t\tci[cluster] = &clusterInfo{\n   195→\t\t\tnumJobs:   numJobs,\n   196→\t\t\tdateFirst: dateFirst,\n   197→\t\t\tdateLast:  dateLast,\n   198→\t\t\tdiskSize:  float64(diskSize) / (1024 * 1024), // Convert to MB\n   199→\t\t}\n   200→\t}\n   201→\n   202→\tcit := clusterInfo{dateFirst: time.Now().Unix()}\n   203→\tw := tabwriter.NewWriter(os.Stdout, 0, 0, 2, ' ', tabwriter.Debug)\n   204→\tfmt.Fprintln(w, \"cluster\\t#jobs\\tfrom\\tto\\tsize (MB)\")\n   205→\tfor cluster, clusterInfo := range ci {\n   206→\t\tfmt.Fprintf(w, \"%s\\t%d\\t%s\\t%s\\t%.2f\\n\", cluster,\n   207→\t\t\tclusterInfo.numJobs,\n   208→\t\t\ttime.Unix(clusterInfo.dateFirst, 0),\n   209→\t\t\ttime.Unix(clusterInfo.dateLast, 0),\n   210→\t\t\tclusterInfo.diskSize)\n   211→\n   212→\t\tcit.numJobs += clusterInfo.numJobs\n   213→\t\tcit.dateFirst = util.Min(cit.dateFirst, clusterInfo.dateFirst)\n   214→\t\tcit.dateLast = util.Max(cit.dateLast, clusterInfo.dateLast)\n   215→\t\tcit.diskSize += clusterInfo.diskSize\n   216→\t}\n   217→\n   218→\tfmt.Fprintf(w, \"TOTAL\\t%d\\t%s\\t%s\\t%.2f\\n\",\n   219→\t\tcit.numJobs, time.Unix(cit.dateFirst, 0), time.Unix(cit.dateLast, 0), cit.diskSize)\n   220→\tw.Flush()\n   221→}\n   222→\n   223→func (sa *SqliteArchive) Exists(job *schema.Job) bool {\n   224→\tvar count int\n   225→\terr := sa.db.QueryRow(\"SELECT COUNT(*) FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n   226→\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&count)\n   227→\treturn err == nil && count > 0\n   228→}\n   229→\n   230→func (sa *SqliteArchive) LoadJobMeta(job *schema.Job) (*schema.Job, error) {\n   231→\tvar metaBlob []byte\n   232→\terr := sa.db.QueryRow(\"SELECT meta_json FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n   233→\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&metaBlob)\n   234→\tif err != nil {\n   235→\t\tcclog.Errorf(\"SqliteArchive LoadJobMeta() > query error: %v\", err)\n   236→\t\treturn nil, err\n   237→\t}\n   238→\n   239→\tif config.Keys.Validate {\n   240→\t\tif err := schema.Validate(schema.Meta, bytes.NewReader(metaBlob)); err != nil {\n   241→\t\t\treturn nil, fmt.Errorf(\"validate job meta: %v\", err)\n   242→\t\t}\n   243→\t}\n   244→\n   245→\treturn DecodeJobMeta(bytes.NewReader(metaBlob))\n   246→}\n   247→\n   248→func (sa *SqliteArchive) LoadJobData(job *schema.Job) (schema.JobData, error) {\n   249→\tvar dataBlob []byte\n   250→\tvar compressed bool\n   251→\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n   252→\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n   253→\tif err != nil {\n   254→\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > query error: %v\", err)\n   255→\t\treturn nil, err\n   256→\t}\n   257→\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n   258→\n   259→\tvar reader io.Reader = bytes.NewReader(dataBlob)\n   260→\tif compressed {\n   261→\t\tgzipReader, err := gzip.NewReader(reader)\n   262→\t\tif err != nil {\n   263→\t\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > gzip error: %v\", err)\n   264→\t\t\treturn nil, err\n   265→\t\t}\n   266→\t\tdefer gzipReader.Close()\n   267→\t\treader = gzipReader\n   268→\t}\n   269→\n   270→\tif config.Keys.Validate {\n   271→\t\tdata, _ := io.ReadAll(reader)\n   272→\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n   273→\t\t\treturn schema.JobData{}, fmt.Errorf(\"validate job data: %v\", err)\n   274→\t\t}\n   275→\t\treturn DecodeJobData(bytes.NewReader(data), key)\n   276→\t}\n   277→\n   278→\treturn DecodeJobData(reader, key)\n   279→}\n   280→\n   281→func (sa *SqliteArchive) LoadJobStats(job *schema.Job) (schema.ScopedJobStats, error) {\n   282→\tvar dataBlob []byte\n   283→\tvar compressed bool\n   284→\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n   285→\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n   286→\tif err != nil {\n   287→\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > query error: %v\", err)\n   288→\t\treturn nil, err\n   289→\t}\n   290→\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n   291→\n   292→\tvar reader io.Reader = bytes.NewReader(dataBlob)\n   293→\tif compressed {\n   294→\t\tgzipReader, err := gzip.NewReader(reader)\n   295→\t\tif err != nil {\n   296→\t\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > gzip error: %v\", err)\n   297→\t\t\treturn nil, err\n   298→\t\t}\n   299→\t\tdefer gzipReader.Close()\n   300→\t\treader = gzipReader\n   301→\t}\n   302→\n   303→\tif config.Keys.Validate {\n   304→\t\tdata, _ := io.ReadAll(reader)\n   305→\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n   306→\t\t\treturn nil, fmt.Errorf(\"validate job data: %v\", err)\n   307→\t\t}\n   308→\t\treturn DecodeJobStats(bytes.NewReader(data), key)\n   309→\t}\n   310→\n   311→\treturn DecodeJobStats(reader, key)\n   312→}\n   313→\n   314→func (sa *SqliteArchive) LoadClusterCfg(name string) (*schema.Cluster, error) {\n   315→\tvar configBlob []byte\n   316→\terr := sa.db.QueryRow(\"SELECT config_json FROM clusters WHERE name = ?\", name).Scan(&configBlob)\n   317→\tif err != nil {\n   318→\t\tcclog.Errorf(\"SqliteArchive LoadClusterCfg() > query error: %v\", err)\n   319→\t\treturn nil, err\n   320→\t}\n   321→\n   322→\tif config.Keys.Validate {\n   323→\t\tif err := schema.Validate(schema.ClusterCfg, bytes.NewReader(configBlob)); err != nil {\n   324→\t\t\tcclog.Warnf(\"Validate cluster config: %v\\n\", err)\n   325→\t\t\treturn &schema.Cluster{}, fmt.Errorf(\"validate cluster config: %v\", err)\n   326→\t\t}\n   327→\t}\n   328→\n   329→\treturn DecodeCluster(bytes.NewReader(configBlob))\n   330→}\n   331→\n   332→func (sa *SqliteArchive) StoreJobMeta(job *schema.Job) error {\n   333→\tvar metaBuf bytes.Buffer\n   334→\tif err := EncodeJobMeta(&metaBuf, job); err != nil {\n   335→\t\tcclog.Error(\"SqliteArchive StoreJobMeta() > encoding error\")\n   336→\t\treturn err\n   337→\t}\n   338→\n   339→\tnow := time.Now().Unix()\n   340→\t_, err := sa.db.Exec(`\n   341→\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, created_at, updated_at)\n   342→\t\tVALUES (?, ?, ?, ?, ?, ?)\n   343→\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n   344→\t\t\tmeta_json = excluded.meta_json,\n   345→\t\t\tupdated_at = excluded.updated_at\n   346→\t`, job.JobID, job.Cluster, job.StartTime, metaBuf.Bytes(), now, now)\n   347→\tif err != nil {\n   348→\t\tcclog.Errorf(\"SqliteArchive StoreJobMeta() > insert error: %v\", err)\n   349→\t\treturn err\n   350→\t}\n   351→\n   352→\treturn nil\n   353→}\n   354→\n   355→func (sa *SqliteArchive) ImportJob(jobMeta *schema.Job, jobData *schema.JobData) error {\n   356→\tvar metaBuf, dataBuf bytes.Buffer\n   357→\tif err := EncodeJobMeta(&metaBuf, jobMeta); err != nil {\n   358→\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding meta error\")\n   359→\t\treturn err\n   360→\t}\n   361→\tif err := EncodeJobData(&dataBuf, jobData); err != nil {\n   362→\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding data error\")\n   363→\t\treturn err\n   364→\t}\n   365→\n   366→\tvar dataBytes []byte\n   367→\tvar compressed bool\n   368→\n   369→\tif dataBuf.Len() > 2000 {\n   370→\t\tvar compressedBuf bytes.Buffer\n   371→\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n   372→\t\tif _, err := gzipWriter.Write(dataBuf.Bytes()); err != nil {\n   373→\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip write error: %v\", err)\n   374→\t\t\treturn err\n   375→\t\t}\n   376→\t\tif err := gzipWriter.Close(); err != nil {\n   377→\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip close error: %v\", err)\n   378→\t\t\treturn err\n   379→\t\t}\n   380→\t\tdataBytes = compressedBuf.Bytes()\n   381→\t\tcompressed = true\n   382→\t} else {\n   383→\t\tdataBytes = dataBuf.Bytes()\n   384→\t\tcompressed = false\n   385→\t}\n   386→\n   387→\tnow := time.Now().Unix()\n   388→\t_, err := sa.db.Exec(`\n   389→\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, data_json, data_compressed, created_at, updated_at)\n   390→\t\tVALUES (?, ?, ?, ?, ?, ?, ?, ?)\n   391→\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n   392→\t\t\tmeta_json = excluded.meta_json,\n   393→\t\t\tdata_json = excluded.data_json,\n   394→\t\t\tdata_compressed = excluded.data_compressed,\n   395→\t\t\tupdated_at = excluded.updated_at\n   396→\t`, jobMeta.JobID, jobMeta.Cluster, jobMeta.StartTime, metaBuf.Bytes(), dataBytes, compressed, now, now)\n   397→\tif err != nil {\n   398→\t\tcclog.Errorf(\"SqliteArchive ImportJob() > insert error: %v\", err)\n   399→\t\treturn err\n   400→\t}\n   401→\n   402→\treturn nil\n   403→}\n   404→\n   405→func (sa *SqliteArchive) GetClusters() []string {\n   406→\treturn sa.clusters\n   407→}\n   408→\n   409→func (sa *SqliteArchive) CleanUp(jobs []*schema.Job) {\n   410→\tstart := time.Now()\n   411→\tcount := 0\n   412→\n   413→\ttx, err := sa.db.Begin()\n   414→\tif err != nil {\n   415→\t\tcclog.Errorf(\"SqliteArchive CleanUp() > transaction error: %v\", err)\n   416→\t\treturn\n   417→\t}\n   418→\tdefer tx.Rollback()\n   419→\n   420→\tstmt, err := tx.Prepare(\"DELETE FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n   421→\tif err != nil {\n   422→\t\tcclog.Errorf(\"SqliteArchive CleanUp() > prepare error: %v\", err)\n   423→\t\treturn\n   424→\t}\n   425→\tdefer stmt.Close()\n   426→\n   427→\tfor _, job := range jobs {\n   428→\t\tif job == nil {\n   429→\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() error: job is nil\")\n   430→\t\t\tcontinue\n   431→\t\t}\n   432→\n   433→\t\tif _, err := stmt.Exec(job.JobID, job.Cluster, job.StartTime); err != nil {\n   434→\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() > delete error: %v\", err)\n   435→\t\t} else {\n   436→\t\t\tcount++\n   437→\t\t}\n   438→\t}\n   439→\n   440→\tif err := tx.Commit(); err != nil {\n   441→\t\tcclog.Errorf(\"SqliteArchive CleanUp() > commit error: %v\", err)\n   442→\t\treturn\n   443→\t}\n   444→\n   445→\tcclog.Infof(\"Retention Service - Remove %d jobs from SQLite in %s\", count, time.Since(start))\n   446→}\n   447→\n   448→func (sa *SqliteArchive) Move(jobs []*schema.Job, targetPath string) {\n   449→\t// For SQLite, \"move\" means updating the cluster field or similar\n   450→\t// This is interpretation-dependent; for now we'll just log\n   451→\tcclog.Warnf(\"SqliteArchive Move() is not fully implemented - moves within database not applicable\")\n   452→}\n   453→\n   454→func (sa *SqliteArchive) Clean(before int64, after int64) {\n   455→\tif after == 0 {\n   456→\t\tafter = math.MaxInt64\n   457→\t}\n   458→\n   459→\tresult, err := sa.db.Exec(\"DELETE FROM jobs WHERE start_time < ? OR start_time > ?\", before, after)\n   460→\tif err != nil {\n   461→\t\tcclog.Fatalf(\"SqliteArchive Clean() > delete error: %s\", err.Error())\n   462→\t}\n   463→\n   464→\trowsAffected, _ := result.RowsAffected()\n   465→\tcclog.Infof(\"SqliteArchive Clean() removed %d jobs\", rowsAffected)\n   466→}\n   467→\n   468→func (sa *SqliteArchive) Compress(jobs []*schema.Job) {\n   469→\tvar cnt int\n   470→\tstart := time.Now()\n   471→\n   472→\ttx, err := sa.db.Begin()\n   473→\tif err != nil {\n   474→\t\tcclog.Errorf(\"SqliteArchive Compress() > transaction error: %v\", err)\n   475→\t\treturn\n   476→\t}\n   477→\tdefer tx.Rollback()\n   478→\n   479→\tstmt, err := tx.Prepare(\"UPDATE jobs SET data_json = ?, data_compressed = 1 WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n   480→\tif err != nil {\n   481→\t\tcclog.Errorf(\"SqliteArchive Compress() > prepare error: %v\", err)\n   482→\t\treturn\n   483→\t}\n   484→\tdefer stmt.Close()\n   485→\n   486→\tfor _, job := range jobs {\n   487→\t\tvar dataBlob []byte\n   488→\t\tvar compressed bool\n   489→\t\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n   490→\t\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n   491→\t\tif err != nil || compressed || len(dataBlob) < 2000 {\n   492→\t\t\tcontinue // Skip if error, already compressed, or too small\n   493→\t\t}\n   494→\n   495→\t\t// Compress the data\n   496→\t\tvar compressedBuf bytes.Buffer\n   497→\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n   498→\t\tif _, err := gzipWriter.Write(dataBlob); err != nil {\n   499→\t\t\tcclog.Errorf(\"SqliteArchive Compress() > gzip error: %v\", err)\n   500→\t\t\tgzipWriter.Close()\n   501→\t\t\tcontinue\n   502→\t\t}\n   503→\t\tgzipWriter.Close()\n   504→\n   505→\t\tif _, err := stmt.Exec(compressedBuf.Bytes(), job.JobID, job.Cluster, job.StartTime); err != nil {\n   506→\t\t\tcclog.Errorf(\"SqliteArchive Compress() > update error: %v\", err)\n   507→\t\t} else {\n   508→\t\t\tcnt++\n   509→\t\t}\n   510→\t}\n   511→\n   512→\tif err := tx.Commit(); err != nil {\n   513→\t\tcclog.Errorf(\"SqliteArchive Compress() > commit error: %v\", err)\n   514→\t\treturn\n   515→\t}\n   516→\n   517→\tcclog.Infof(\"Compression Service - %d jobs in SQLite took %s\", cnt, time.Since(start))\n   518→}\n   519→\n   520→func (sa *SqliteArchive) CompressLast(starttime int64) int64 {\n   521→\tvar lastStr string\n   522→\terr := sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'compress_last'\").Scan(&lastStr)\n   523→\n   524→\tvar last int64\n   525→\tif err == sql.ErrNoRows {\n   526→\t\tlast = starttime\n   527→\t} else if err != nil {\n   528→\t\tcclog.Errorf(\"SqliteArchive CompressLast() > query error: %v\", err)\n   529→\t\tlast = starttime\n   530→\t} else {\n   531→\t\tlast, err = strconv.ParseInt(lastStr, 10, 64)\n   532→\t\tif err != nil {\n   533→\t\t\tcclog.Errorf(\"SqliteArchive CompressLast() > parse error: %v\", err)\n   534→\t\t\tlast = starttime\n   535→\t\t}\n   536→\t}\n   537→\n   538→\tcclog.Infof(\"SqliteArchive CompressLast() - start %d last %d\", starttime, last)\n   539→\n   540→\t// Update timestamp\n   541→\t_, err = sa.db.Exec(`\n   542→\t\tINSERT INTO metadata (key, value) VALUES ('compress_last', ?)\n   543→\t\tON CONFLICT(key) DO UPDATE SET value = excluded.value\n   544→\t`, fmt.Sprintf(\"%d\", starttime))\n   545→\tif err != nil {\n   546→\t\tcclog.Errorf(\"SqliteArchive CompressLast() > update error: %v\", err)\n   547→\t}\n   548→\n   549→\treturn last\n   550→}\n   551→\n   552→type sqliteJobRow struct {\n   553→\tmetaBlob   []byte\n   554→\tdataBlob   []byte\n   555→\tcompressed bool\n   556→}\n   557→\n   558→func (sa *SqliteArchive) Iter(loadMetricData bool) <-chan JobContainer {\n   559→\tch := make(chan JobContainer)\n   560→\n   561→\tgo func() {\n   562→\t\tdefer close(ch)\n   563→\n   564→\t\tconst chunkSize = 1000\n   565→\t\toffset := 0\n   566→\n   567→\t\tvar query string\n   568→\t\tif loadMetricData {\n   569→\t\t\tquery = \"SELECT meta_json, data_json, data_compressed FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n   570→\t\t} else {\n   571→\t\t\tquery = \"SELECT meta_json FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n   572→\t\t}\n   573→\n   574→\t\tnumWorkers := 4\n   575→\t\tjobRows := make(chan sqliteJobRow, numWorkers*2)\n   576→\t\tvar wg sync.WaitGroup\n   577→\n   578→\t\tfor range numWorkers {\n   579→\t\t\twg.Go(func() {\n   580→\t\t\t\tfor row := range jobRows {\n   581→\t\t\t\t\tjob, err := DecodeJobMeta(bytes.NewReader(row.metaBlob))\n   582→\t\t\t\t\tif err != nil {\n   583→\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode meta error: %v\", err)\n   584→\t\t\t\t\t\tcontinue\n   585→\t\t\t\t\t}\n   586→\n   587→\t\t\t\t\tif loadMetricData && row.dataBlob != nil {\n   588→\t\t\t\t\t\tvar reader io.Reader = bytes.NewReader(row.dataBlob)\n   589→\t\t\t\t\t\tif row.compressed {\n   590→\t\t\t\t\t\t\tgzipReader, err := gzip.NewReader(reader)\n   591→\t\t\t\t\t\t\tif err != nil {\n   592→\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > gzip error: %v\", err)\n   593→\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n   594→\t\t\t\t\t\t\t\tcontinue\n   595→\t\t\t\t\t\t\t}\n   596→\t\t\t\t\t\t\tdecompressed, err := io.ReadAll(gzipReader)\n   597→\t\t\t\t\t\t\tgzipReader.Close()\n   598→\t\t\t\t\t\t\tif err != nil {\n   599→\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decompress error: %v\", err)\n   600→\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n   601→\t\t\t\t\t\t\t\tcontinue\n   602→\t\t\t\t\t\t\t}\n   603→\t\t\t\t\t\t\treader = bytes.NewReader(decompressed)\n   604→\t\t\t\t\t\t}\n   605→\n   606→\t\t\t\t\t\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n   607→\t\t\t\t\t\tjobData, err := DecodeJobData(reader, key)\n   608→\t\t\t\t\t\tif err != nil {\n   609→\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode data error: %v\", err)\n   610→\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n   611→\t\t\t\t\t\t} else {\n   612→\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: &jobData}\n   613→\t\t\t\t\t\t}\n   614→\t\t\t\t\t} else {\n   615→\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n   616→\t\t\t\t\t}\n   617→\t\t\t\t}\n   618→\t\t\t})\n   619→\t\t}\n   620→\n   621→\t\tfor {\n   622→\t\t\trows, err := sa.db.Query(query, chunkSize, offset)\n   623→\t\t\tif err != nil {\n   624→\t\t\t\tcclog.Fatalf(\"SqliteArchive Iter() > query error: %s\", err.Error())\n   625→\t\t\t}\n   626→\n   627→\t\t\trowCount := 0\n   628→\t\t\tfor rows.Next() {\n   629→\t\t\t\tvar row sqliteJobRow\n   630→\n   631→\t\t\t\tif loadMetricData {\n   632→\t\t\t\t\tif err := rows.Scan(&row.metaBlob, &row.dataBlob, &row.compressed); err != nil {\n   633→\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n   634→\t\t\t\t\t\tcontinue\n   635→\t\t\t\t\t}\n   636→\t\t\t\t} else {\n   637→\t\t\t\t\tif err := rows.Scan(&row.metaBlob); err != nil {\n   638→\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n   639→\t\t\t\t\t\tcontinue\n   640→\t\t\t\t\t}\n   641→\t\t\t\t\trow.dataBlob = nil\n   642→\t\t\t\t\trow.compressed = false\n   643→\t\t\t\t}\n   644→\n   645→\t\t\t\tjobRows <- row\n   646→\t\t\t\trowCount++\n   647→\t\t\t}\n   648→\t\t\trows.Close()\n   649→\n   650→\t\t\tif rowCount < chunkSize {\n   651→\t\t\t\tbreak\n   652→\t\t\t}\n   653→\n   654→\t\t\toffset += chunkSize\n   655→\t\t}\n   656→\n   657→\t\tclose(jobRows)\n   658→\t\twg.Wait()\n   659→\t}()\n   660→\n   661→\treturn ch\n   662→}\n   663→\n   664→func (sa *SqliteArchive) StoreClusterCfg(name string, config *schema.Cluster) error {\n   665→\tvar configBuf bytes.Buffer\n   666→\tif err := EncodeCluster(&configBuf, config); err != nil {\n   667→\t\tcclog.Error(\"SqliteArchive StoreClusterCfg() > encoding error\")\n   668→\t\treturn err\n   669→\t}\n   670→\n   671→\tnow := time.Now().Unix()\n   672→\t_, err := sa.db.Exec(`\n   673→\t\tINSERT INTO clusters (name, config_json, updated_at)\n   674→\t\tVALUES (?, ?, ?)\n   675→\t\tON CONFLICT(name) DO UPDATE SET\n   676→\t\t\tconfig_json = excluded.config_json,\n   677→\t\t\tupdated_at = excluded.updated_at\n   678→\t`, name, configBuf.Bytes(), now)\n   679→\tif err != nil {\n   680→\t\tcclog.Errorf(\"SqliteArchive StoreClusterCfg() > insert error: %v\", err)\n   681→\t\treturn err\n   682→\t}\n   683→\n   684→\t// Update clusters list if new\n   685→\tfound := slices.Contains(sa.clusters, name)\n   686→\tif !found {\n   687→\t\tsa.clusters = append(sa.clusters, name)\n   688→\t}\n   689→\n   690→\treturn nil\n   691→}\n   692→"}]},"uuid":"d78c0aa3-68bb-42dc-8267-533056b05e92","timestamp":"2026-03-16T10:12:40.468Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/archive/sqliteBackend.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage archive\n\nimport (\n\t\"bytes\"\n\t\"compress/gzip\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"slices\"\n\t\"strconv\"\n\t\"sync\"\n\t\"text/tabwriter\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t_ \"github.com/mattn/go-sqlite3\"\n)\n\n// SqliteArchiveConfig holds the configuration for the SQLite archive backend.\ntype SqliteArchiveConfig struct {\n\tDBPath string `json:\"db-path\"` // Path to SQLite database file\n}\n\n// SqliteArchive implements ArchiveBackend using a SQLite database with BLOB storage.\n// Job metadata and data are stored as JSON BLOBs with indexes for fast queries.\n//\n// Uses WAL (Write-Ahead Logging) mode for better concurrency and a 64MB cache.\ntype SqliteArchive struct {\n\tdb       *sql.DB  // SQLite database connection\n\tclusters []string // List of discovered cluster names\n}\n\n// sqliteSchema defines the database schema for SQLite archive backend.\n// Jobs table: stores job metadata and data as BLOBs with compression flag\n// Clusters table: stores cluster configurations\n// Metadata table: stores version and other key-value pairs\nconst sqliteSchema = `\nCREATE TABLE IF NOT EXISTS jobs (\n    id INTEGER PRIMARY KEY AUTOINCREMENT,\n    job_id INTEGER NOT NULL,\n    cluster TEXT NOT NULL,\n    start_time INTEGER NOT NULL,\n    meta_json BLOB NOT NULL,\n    data_json BLOB,\n    data_compressed BOOLEAN DEFAULT 0,\n    created_at INTEGER NOT NULL,\n    updated_at INTEGER NOT NULL,\n    UNIQUE(job_id, cluster, start_time)\n);\n\nCREATE INDEX IF NOT EXISTS idx_jobs_cluster ON jobs(cluster);\nCREATE INDEX IF NOT EXISTS idx_jobs_start_time ON jobs(start_time);\nCREATE INDEX IF NOT EXISTS idx_jobs_order ON jobs(cluster, start_time);\nCREATE INDEX IF NOT EXISTS idx_jobs_lookup ON jobs(cluster, job_id, start_time);\n\nCREATE TABLE IF NOT EXISTS clusters (\n    name TEXT PRIMARY KEY,\n    config_json BLOB NOT NULL,\n    updated_at INTEGER NOT NULL\n);\n\nCREATE TABLE IF NOT EXISTS metadata (\n    key TEXT PRIMARY KEY,\n    value TEXT NOT NULL\n);\n`\n\nfunc (sa *SqliteArchive) Init(rawConfig json.RawMessage) (uint64, error) {\n\tvar cfg SqliteArchiveConfig\n\tif err := json.Unmarshal(rawConfig, &cfg); err != nil {\n\t\tcclog.Warnf(\"SqliteArchive Init() > Unmarshal error: %#v\", err)\n\t\treturn 0, err\n\t}\n\n\tif cfg.DBPath == \"\" {\n\t\terr := fmt.Errorf(\"SqliteArchive Init(): empty database path\")\n\t\tcclog.Errorf(\"SqliteArchive Init() > config error: %v\", err)\n\t\treturn 0, err\n\t}\n\n\t// Open SQLite database\n\tdb, err := sql.Open(\"sqlite3\", cfg.DBPath)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to open database: %v\", err)\n\t\treturn 0, err\n\t}\n\tsa.db = db\n\n\t// Set pragmas for better performance\n\tpragmas := []string{\n\t\t\"PRAGMA journal_mode=WAL\",\n\t\t\"PRAGMA synchronous=NORMAL\",\n\t\t\"PRAGMA cache_size=-64000\", // 64MB cache\n\t\t\"PRAGMA busy_timeout=5000\",\n\t}\n\tfor _, pragma := range pragmas {\n\t\tif _, err := sa.db.Exec(pragma); err != nil {\n\t\t\tcclog.Warnf(\"SqliteArchive Init() > pragma failed: %v\", err)\n\t\t}\n\t}\n\n\t// Create schema\n\tif _, err := sa.db.Exec(sqliteSchema); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > schema creation failed: %v\", err)\n\t\treturn 0, err\n\t}\n\n\t// Check/set version\n\tvar versionStr string\n\terr = sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'version'\").Scan(&versionStr)\n\tif err == sql.ErrNoRows {\n\t\t// First time initialization, set version\n\t\t_, err = sa.db.Exec(\"INSERT INTO metadata (key, value) VALUES ('version', ?)\", fmt.Sprintf(\"%d\", Version))\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to set version: %v\", err)\n\t\t\treturn 0, err\n\t\t}\n\t\tversionStr = fmt.Sprintf(\"%d\", Version)\n\t} else if err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to read version: %v\", err)\n\t\treturn 0, err\n\t}\n\n\tversion, err := strconv.ParseUint(versionStr, 10, 64)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > version parse error: %v\", err)\n\t\treturn 0, err\n\t}\n\n\tif version != Version {\n\t\treturn version, fmt.Errorf(\"unsupported version %d, need %d\", version, Version)\n\t}\n\n\t// Discover clusters\n\tsa.clusters = []string{}\n\trows, err := sa.db.Query(\"SELECT DISTINCT cluster FROM jobs ORDER BY cluster\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to query clusters: %v\", err)\n\t\treturn 0, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar cluster string\n\t\tif err := rows.Scan(&cluster); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to scan cluster: %v\", err)\n\t\t\tcontinue\n\t\t}\n\t\tsa.clusters = append(sa.clusters, cluster)\n\t}\n\n\tcclog.Infof(\"SqliteArchive initialized with database '%s', found %d clusters\", cfg.DBPath, len(sa.clusters))\n\treturn version, nil\n}\n\nfunc (sa *SqliteArchive) Info() {\n\tfmt.Printf(\"SQLite Job archive database\\n\")\n\n\tci := make(map[string]*clusterInfo)\n\n\trows, err := sa.db.Query(`\n\t\tSELECT cluster, COUNT(*), MIN(start_time), MAX(start_time),\n\t\t       SUM(LENGTH(meta_json) + COALESCE(LENGTH(data_json), 0))\n\t\tFROM jobs\n\t\tGROUP BY cluster\n\t`)\n\tif err != nil {\n\t\tcclog.Fatalf(\"SqliteArchive Info() > query failed: %s\", err.Error())\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar cluster string\n\t\tvar numJobs int\n\t\tvar dateFirst, dateLast int64\n\t\tvar diskSize int64\n\n\t\tif err := rows.Scan(&cluster, &numJobs, &dateFirst, &dateLast, &diskSize); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Info() > scan failed: %v\", err)\n\t\t\tcontinue\n\t\t}\n\n\t\tci[cluster] = &clusterInfo{\n\t\t\tnumJobs:   numJobs,\n\t\t\tdateFirst: dateFirst,\n\t\t\tdateLast:  dateLast,\n\t\t\tdiskSize:  float64(diskSize) / (1024 * 1024), // Convert to MB\n\t\t}\n\t}\n\n\tcit := clusterInfo{dateFirst: time.Now().Unix()}\n\tw := tabwriter.NewWriter(os.Stdout, 0, 0, 2, ' ', tabwriter.Debug)\n\tfmt.Fprintln(w, \"cluster\\t#jobs\\tfrom\\tto\\tsize (MB)\")\n\tfor cluster, clusterInfo := range ci {\n\t\tfmt.Fprintf(w, \"%s\\t%d\\t%s\\t%s\\t%.2f\\n\", cluster,\n\t\t\tclusterInfo.numJobs,\n\t\t\ttime.Unix(clusterInfo.dateFirst, 0),\n\t\t\ttime.Unix(clusterInfo.dateLast, 0),\n\t\t\tclusterInfo.diskSize)\n\n\t\tcit.numJobs += clusterInfo.numJobs\n\t\tcit.dateFirst = util.Min(cit.dateFirst, clusterInfo.dateFirst)\n\t\tcit.dateLast = util.Max(cit.dateLast, clusterInfo.dateLast)\n\t\tcit.diskSize += clusterInfo.diskSize\n\t}\n\n\tfmt.Fprintf(w, \"TOTAL\\t%d\\t%s\\t%s\\t%.2f\\n\",\n\t\tcit.numJobs, time.Unix(cit.dateFirst, 0), time.Unix(cit.dateLast, 0), cit.diskSize)\n\tw.Flush()\n}\n\nfunc (sa *SqliteArchive) Exists(job *schema.Job) bool {\n\tvar count int\n\terr := sa.db.QueryRow(\"SELECT COUNT(*) FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&count)\n\treturn err == nil && count > 0\n}\n\nfunc (sa *SqliteArchive) LoadJobMeta(job *schema.Job) (*schema.Job, error) {\n\tvar metaBlob []byte\n\terr := sa.db.QueryRow(\"SELECT meta_json FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&metaBlob)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobMeta() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif config.Keys.Validate {\n\t\tif err := schema.Validate(schema.Meta, bytes.NewReader(metaBlob)); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"validate job meta: %v\", err)\n\t\t}\n\t}\n\n\treturn DecodeJobMeta(bytes.NewReader(metaBlob))\n}\n\nfunc (sa *SqliteArchive) LoadJobData(job *schema.Job) (schema.JobData, error) {\n\tvar dataBlob []byte\n\tvar compressed bool\n\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\n\tvar reader io.Reader = bytes.NewReader(dataBlob)\n\tif compressed {\n\t\tgzipReader, err := gzip.NewReader(reader)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > gzip error: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\tdefer gzipReader.Close()\n\t\treader = gzipReader\n\t}\n\n\tif config.Keys.Validate {\n\t\tdata, _ := io.ReadAll(reader)\n\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n\t\t\treturn schema.JobData{}, fmt.Errorf(\"validate job data: %v\", err)\n\t\t}\n\t\treturn DecodeJobData(bytes.NewReader(data), key)\n\t}\n\n\treturn DecodeJobData(reader, key)\n}\n\nfunc (sa *SqliteArchive) LoadJobStats(job *schema.Job) (schema.ScopedJobStats, error) {\n\tvar dataBlob []byte\n\tvar compressed bool\n\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\n\tvar reader io.Reader = bytes.NewReader(dataBlob)\n\tif compressed {\n\t\tgzipReader, err := gzip.NewReader(reader)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > gzip error: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\tdefer gzipReader.Close()\n\t\treader = gzipReader\n\t}\n\n\tif config.Keys.Validate {\n\t\tdata, _ := io.ReadAll(reader)\n\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"validate job data: %v\", err)\n\t\t}\n\t\treturn DecodeJobStats(bytes.NewReader(data), key)\n\t}\n\n\treturn DecodeJobStats(reader, key)\n}\n\nfunc (sa *SqliteArchive) LoadClusterCfg(name string) (*schema.Cluster, error) {\n\tvar configBlob []byte\n\terr := sa.db.QueryRow(\"SELECT config_json FROM clusters WHERE name = ?\", name).Scan(&configBlob)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadClusterCfg() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif config.Keys.Validate {\n\t\tif err := schema.Validate(schema.ClusterCfg, bytes.NewReader(configBlob)); err != nil {\n\t\t\tcclog.Warnf(\"Validate cluster config: %v\\n\", err)\n\t\t\treturn &schema.Cluster{}, fmt.Errorf(\"validate cluster config: %v\", err)\n\t\t}\n\t}\n\n\treturn DecodeCluster(bytes.NewReader(configBlob))\n}\n\nfunc (sa *SqliteArchive) StoreJobMeta(job *schema.Job) error {\n\tvar metaBuf bytes.Buffer\n\tif err := EncodeJobMeta(&metaBuf, job); err != nil {\n\t\tcclog.Error(\"SqliteArchive StoreJobMeta() > encoding error\")\n\t\treturn err\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, created_at, updated_at)\n\t\tVALUES (?, ?, ?, ?, ?, ?)\n\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n\t\t\tmeta_json = excluded.meta_json,\n\t\t\tupdated_at = excluded.updated_at\n\t`, job.JobID, job.Cluster, job.StartTime, metaBuf.Bytes(), now, now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive StoreJobMeta() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (sa *SqliteArchive) ImportJob(jobMeta *schema.Job, jobData *schema.JobData) error {\n\tvar metaBuf, dataBuf bytes.Buffer\n\tif err := EncodeJobMeta(&metaBuf, jobMeta); err != nil {\n\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding meta error\")\n\t\treturn err\n\t}\n\tif err := EncodeJobData(&dataBuf, jobData); err != nil {\n\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding data error\")\n\t\treturn err\n\t}\n\n\tvar dataBytes []byte\n\tvar compressed bool\n\n\tif dataBuf.Len() > 2000 {\n\t\tvar compressedBuf bytes.Buffer\n\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n\t\tif _, err := gzipWriter.Write(dataBuf.Bytes()); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip write error: %v\", err)\n\t\t\treturn err\n\t\t}\n\t\tif err := gzipWriter.Close(); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip close error: %v\", err)\n\t\t\treturn err\n\t\t}\n\t\tdataBytes = compressedBuf.Bytes()\n\t\tcompressed = true\n\t} else {\n\t\tdataBytes = dataBuf.Bytes()\n\t\tcompressed = false\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, data_json, data_compressed, created_at, updated_at)\n\t\tVALUES (?, ?, ?, ?, ?, ?, ?, ?)\n\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n\t\t\tmeta_json = excluded.meta_json,\n\t\t\tdata_json = excluded.data_json,\n\t\t\tdata_compressed = excluded.data_compressed,\n\t\t\tupdated_at = excluded.updated_at\n\t`, jobMeta.JobID, jobMeta.Cluster, jobMeta.StartTime, metaBuf.Bytes(), dataBytes, compressed, now, now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive ImportJob() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (sa *SqliteArchive) GetClusters() []string {\n\treturn sa.clusters\n}\n\nfunc (sa *SqliteArchive) CleanUp(jobs []*schema.Job) {\n\tstart := time.Now()\n\tcount := 0\n\n\ttx, err := sa.db.Begin()\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > transaction error: %v\", err)\n\t\treturn\n\t}\n\tdefer tx.Rollback()\n\n\tstmt, err := tx.Prepare(\"DELETE FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > prepare error: %v\", err)\n\t\treturn\n\t}\n\tdefer stmt.Close()\n\n\tfor _, job := range jobs {\n\t\tif job == nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() error: job is nil\")\n\t\t\tcontinue\n\t\t}\n\n\t\tif _, err := stmt.Exec(job.JobID, job.Cluster, job.StartTime); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() > delete error: %v\", err)\n\t\t} else {\n\t\t\tcount++\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > commit error: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Retention Service - Remove %d jobs from SQLite in %s\", count, time.Since(start))\n}\n\nfunc (sa *SqliteArchive) Move(jobs []*schema.Job, targetPath string) {\n\t// For SQLite, \"move\" means updating the cluster field or similar\n\t// This is interpretation-dependent; for now we'll just log\n\tcclog.Warnf(\"SqliteArchive Move() is not fully implemented - moves within database not applicable\")\n}\n\nfunc (sa *SqliteArchive) Clean(before int64, after int64) {\n\tif after == 0 {\n\t\tafter = math.MaxInt64\n\t}\n\n\tresult, err := sa.db.Exec(\"DELETE FROM jobs WHERE start_time < ? OR start_time > ?\", before, after)\n\tif err != nil {\n\t\tcclog.Fatalf(\"SqliteArchive Clean() > delete error: %s\", err.Error())\n\t}\n\n\trowsAffected, _ := result.RowsAffected()\n\tcclog.Infof(\"SqliteArchive Clean() removed %d jobs\", rowsAffected)\n}\n\nfunc (sa *SqliteArchive) Compress(jobs []*schema.Job) {\n\tvar cnt int\n\tstart := time.Now()\n\n\ttx, err := sa.db.Begin()\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > transaction error: %v\", err)\n\t\treturn\n\t}\n\tdefer tx.Rollback()\n\n\tstmt, err := tx.Prepare(\"UPDATE jobs SET data_json = ?, data_compressed = 1 WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > prepare error: %v\", err)\n\t\treturn\n\t}\n\tdefer stmt.Close()\n\n\tfor _, job := range jobs {\n\t\tvar dataBlob []byte\n\t\tvar compressed bool\n\t\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\t\tif err != nil || compressed || len(dataBlob) < 2000 {\n\t\t\tcontinue // Skip if error, already compressed, or too small\n\t\t}\n\n\t\t// Compress the data\n\t\tvar compressedBuf bytes.Buffer\n\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n\t\tif _, err := gzipWriter.Write(dataBlob); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Compress() > gzip error: %v\", err)\n\t\t\tgzipWriter.Close()\n\t\t\tcontinue\n\t\t}\n\t\tgzipWriter.Close()\n\n\t\tif _, err := stmt.Exec(compressedBuf.Bytes(), job.JobID, job.Cluster, job.StartTime); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Compress() > update error: %v\", err)\n\t\t} else {\n\t\t\tcnt++\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > commit error: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Compression Service - %d jobs in SQLite took %s\", cnt, time.Since(start))\n}\n\nfunc (sa *SqliteArchive) CompressLast(starttime int64) int64 {\n\tvar lastStr string\n\terr := sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'compress_last'\").Scan(&lastStr)\n\n\tvar last int64\n\tif err == sql.ErrNoRows {\n\t\tlast = starttime\n\t} else if err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CompressLast() > query error: %v\", err)\n\t\tlast = starttime\n\t} else {\n\t\tlast, err = strconv.ParseInt(lastStr, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CompressLast() > parse error: %v\", err)\n\t\t\tlast = starttime\n\t\t}\n\t}\n\n\tcclog.Infof(\"SqliteArchive CompressLast() - start %d last %d\", starttime, last)\n\n\t// Update timestamp\n\t_, err = sa.db.Exec(`\n\t\tINSERT INTO metadata (key, value) VALUES ('compress_last', ?)\n\t\tON CONFLICT(key) DO UPDATE SET value = excluded.value\n\t`, fmt.Sprintf(\"%d\", starttime))\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CompressLast() > update error: %v\", err)\n\t}\n\n\treturn last\n}\n\ntype sqliteJobRow struct {\n\tmetaBlob   []byte\n\tdataBlob   []byte\n\tcompressed bool\n}\n\nfunc (sa *SqliteArchive) Iter(loadMetricData bool) <-chan JobContainer {\n\tch := make(chan JobContainer)\n\n\tgo func() {\n\t\tdefer close(ch)\n\n\t\tconst chunkSize = 1000\n\t\toffset := 0\n\n\t\tvar query string\n\t\tif loadMetricData {\n\t\t\tquery = \"SELECT meta_json, data_json, data_compressed FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n\t\t} else {\n\t\t\tquery = \"SELECT meta_json FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n\t\t}\n\n\t\tnumWorkers := 4\n\t\tjobRows := make(chan sqliteJobRow, numWorkers*2)\n\t\tvar wg sync.WaitGroup\n\n\t\tfor range numWorkers {\n\t\t\twg.Go(func() {\n\t\t\t\tfor row := range jobRows {\n\t\t\t\t\tjob, err := DecodeJobMeta(bytes.NewReader(row.metaBlob))\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode meta error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\n\t\t\t\t\tif loadMetricData && row.dataBlob != nil {\n\t\t\t\t\t\tvar reader io.Reader = bytes.NewReader(row.dataBlob)\n\t\t\t\t\t\tif row.compressed {\n\t\t\t\t\t\t\tgzipReader, err := gzip.NewReader(reader)\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > gzip error: %v\", err)\n\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tdecompressed, err := io.ReadAll(gzipReader)\n\t\t\t\t\t\t\tgzipReader.Close()\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decompress error: %v\", err)\n\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\treader = bytes.NewReader(decompressed)\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\t\t\t\t\t\tjobData, err := DecodeJobData(reader, key)\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode data error: %v\", err)\n\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: &jobData}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else {\n\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\n\t\tfor {\n\t\t\trows, err := sa.db.Query(query, chunkSize, offset)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Fatalf(\"SqliteArchive Iter() > query error: %s\", err.Error())\n\t\t\t}\n\n\t\t\trowCount := 0\n\t\t\tfor rows.Next() {\n\t\t\t\tvar row sqliteJobRow\n\n\t\t\t\tif loadMetricData {\n\t\t\t\t\tif err := rows.Scan(&row.metaBlob, &row.dataBlob, &row.compressed); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif err := rows.Scan(&row.metaBlob); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\trow.dataBlob = nil\n\t\t\t\t\trow.compressed = false\n\t\t\t\t}\n\n\t\t\t\tjobRows <- row\n\t\t\t\trowCount++\n\t\t\t}\n\t\t\trows.Close()\n\n\t\t\tif rowCount < chunkSize {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\toffset += chunkSize\n\t\t}\n\n\t\tclose(jobRows)\n\t\twg.Wait()\n\t}()\n\n\treturn ch\n}\n\nfunc (sa *SqliteArchive) StoreClusterCfg(name string, config *schema.Cluster) error {\n\tvar configBuf bytes.Buffer\n\tif err := EncodeCluster(&configBuf, config); err != nil {\n\t\tcclog.Error(\"SqliteArchive StoreClusterCfg() > encoding error\")\n\t\treturn err\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO clusters (name, config_json, updated_at)\n\t\tVALUES (?, ?, ?)\n\t\tON CONFLICT(name) DO UPDATE SET\n\t\t\tconfig_json = excluded.config_json,\n\t\t\tupdated_at = excluded.updated_at\n\t`, name, configBuf.Bytes(), now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive StoreClusterCfg() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\t// Update clusters list if new\n\tfound := slices.Contains(sa.clusters, name)\n\tif !found {\n\t\tsa.clusters = append(sa.clusters, name)\n\t}\n\n\treturn nil\n}\n","numLines":692,"startLine":1,"totalLines":692}},"sourceToolAssistantUUID":"641c9a76-91d8-4156-a19d-7ccb6d93cf69","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"d8f1148f-83ce-49d1-8a7f-4e6531306bf4","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01RUChJr4277fRqYrmyucysh","toolUseID":"toolu_01RUChJr4277fRqYrmyucysh","timestamp":"2026-03-16T10:12:41.123Z","uuid":"bd8768f9-8c15-4589-8610-5850b4638227","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d8f1148f-83ce-49d1-8a7f-4e6531306bf4","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RUChJr4277fRqYrmyucysh","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"database/sql\"\n    11→\t\"encoding/json\"\n    12→\t\"fmt\"\n    13→\t\"slices\"\n    14→\t\"sort\"\n    15→\t\"strings\"\n    16→\t\"sync\"\n    17→\t\"time\"\n    18→\n    19→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    20→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n    23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    24→\tsq \"github.com/Masterminds/squirrel\"\n    25→\t\"github.com/jmoiron/sqlx\"\n    26→)\n    27→\n    28→var (\n    29→\tnodeRepoOnce     sync.Once\n    30→\tnodeRepoInstance *NodeRepository\n    31→)\n    32→\n    33→type NodeRepository struct {\n    34→\tDB        *sqlx.DB\n    35→\tstmtCache *sq.StmtCache\n    36→\tcache     *lrucache.Cache\n    37→\tdriver    string\n    38→}\n    39→\n    40→func GetNodeRepository() *NodeRepository {\n    41→\tnodeRepoOnce.Do(func() {\n    42→\t\tdb := GetConnection()\n    43→\n    44→\t\tnodeRepoInstance = &NodeRepository{\n    45→\t\t\tDB:     db.DB,\n    46→\t\t\tdriver: db.Driver,\n    47→\n    48→\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n    49→\t\t\tcache:     lrucache.New(repoConfig.CacheSize),\n    50→\t\t}\n    51→\t})\n    52→\treturn nodeRepoInstance\n    53→}\n    54→\n    55→// latestStateCondition returns a squirrel expression that restricts node_state\n    56→// rows to the latest per node_id using a correlated subquery.\n    57→// Requires the query to join node and node_state tables.\n    58→func latestStateCondition() sq.Sqlizer {\n    59→\treturn sq.Expr(\n    60→\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n    61→\t)\n    62→}\n    63→\n    64→// applyNodeFilters applies common NodeFilter conditions to a query that joins\n    65→// the node and node_state tables with latestStateCondition.\n    66→func applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n    67→\tfor _, f := range filters {\n    68→\t\tif f.Cluster != nil {\n    69→\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n    70→\t\t}\n    71→\t\tif f.SubCluster != nil {\n    72→\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n    73→\t\t}\n    74→\t\tif f.Hostname != nil {\n    75→\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n    76→\t\t}\n    77→\t\tif f.SchedulerState != nil {\n    78→\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n    79→\t\t}\n    80→\t\tif f.HealthState != nil {\n    81→\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n    82→\t\t}\n    83→\t}\n    84→\treturn query\n    85→}\n    86→\n    87→func (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n    88→\tstart := time.Now()\n    89→\n    90→\tRawMetaData := make([]byte, 0)\n    91→\n    92→\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n    93→\t\tWhere(\"node.hostname = ?\", hostname).\n    94→\t\tWhere(\"node.cluster = ?\", cluster).\n    95→\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n    96→\t\tcclog.Warn(\"Error while scanning for node metadata\")\n    97→\t\treturn nil, err\n    98→\t}\n    99→\n   100→\tif len(RawMetaData) == 0 {\n   101→\t\treturn nil, nil\n   102→\t}\n   103→\n   104→\tMetaData := make(map[string]string)\n   105→\n   106→\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n   107→\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n   108→\t\treturn nil, err\n   109→\t}\n   110→\n   111→\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n   112→\treturn MetaData, nil\n   113→}\n   114→\n   115→func (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n   116→\tnode := &schema.Node{}\n   117→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   118→\t\t\"node_state.node_state\", \"node_state.health_state\").\n   119→\t\tFrom(\"node\").\n   120→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   121→\t\tWhere(latestStateCondition()).\n   122→\t\tWhere(\"node.hostname = ?\", hostname).\n   123→\t\tWhere(\"node.cluster = ?\", cluster).\n   124→\t\tRunWith(r.DB).\n   125→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n   126→\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n   127→\t\treturn nil, err\n   128→\t}\n   129→\n   130→\tif withMeta {\n   131→\t\tvar err error\n   132→\t\tvar meta map[string]string\n   133→\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n   134→\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n   135→\t\t\treturn nil, err\n   136→\t\t}\n   137→\t\tnode.MetaData = meta\n   138→\t}\n   139→\n   140→\treturn node, nil\n   141→}\n   142→\n   143→func (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n   144→\tnode := &schema.Node{}\n   145→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   146→\t\t\"node_state.node_state\", \"node_state.health_state\").\n   147→\t\tFrom(\"node\").\n   148→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   149→\t\tWhere(latestStateCondition()).\n   150→\t\tWhere(\"node.id = ?\", id).\n   151→\t\tRunWith(r.DB).\n   152→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n   153→\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n   154→\t\treturn nil, err\n   155→\t}\n   156→\n   157→\tif withMeta {\n   158→\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n   159→\t\tif metaErr != nil {\n   160→\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n   161→\t\t\treturn nil, metaErr\n   162→\t\t}\n   163→\t\tnode.MetaData = meta\n   164→\t}\n   165→\n   166→\treturn node, nil\n   167→}\n   168→\n   169→// const NamedNodeInsert string = `\n   170→// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n   171→//\n   172→//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n   173→//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n   174→//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n   175→\n   176→const NamedNodeInsert string = `\n   177→INSERT INTO node (hostname, cluster, subcluster)\n   178→\tVALUES (:hostname, :cluster, :subcluster);`\n   179→\n   180→// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n   181→// from a nodestate update from the job scheduler.\n   182→func (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n   183→\tvar err error\n   184→\n   185→\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n   186→\tif err != nil {\n   187→\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n   188→\t\treturn 0, err\n   189→\t}\n   190→\tnode.ID, err = res.LastInsertId()\n   191→\tif err != nil {\n   192→\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n   193→\t\treturn 0, err\n   194→\t}\n   195→\n   196→\treturn node.ID, nil\n   197→}\n   198→\n   199→const NamedNodeStateInsert string = `\n   200→INSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n   201→\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n   202→\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n   203→\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n   204→\n   205→// TODO: Add real Monitoring Health State\n   206→\n   207→// UpdateNodeState is called from the Node REST API to add a row in the node state table\n   208→func (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n   209→\tvar id int64\n   210→\n   211→\tif err := sq.Select(\"id\").From(\"node\").\n   212→\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n   213→\t\tQueryRow().Scan(&id); err != nil {\n   214→\t\tif err == sql.ErrNoRows {\n   215→\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n   216→\t\t\tif err != nil {\n   217→\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n   218→\t\t\t\treturn err\n   219→\t\t\t}\n   220→\t\t\tnode := schema.NodeDB{\n   221→\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n   222→\t\t\t}\n   223→\t\t\tid, err = r.AddNode(&node)\n   224→\t\t\tif err != nil {\n   225→\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n   226→\t\t\t\treturn err\n   227→\t\t\t}\n   228→\n   229→\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n   230→\t\t} else {\n   231→\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n   232→\t\t\treturn err\n   233→\t\t}\n   234→\t}\n   235→\n   236→\tnodeState.NodeID = id\n   237→\n   238→\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n   239→\tif err != nil {\n   240→\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n   241→\t\treturn err\n   242→\t}\n   243→\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n   244→\treturn nil\n   245→}\n   246→\n   247→// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n   248→// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n   249→// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n   250→// \t\treturn err\n   251→// \t}\n   252→//\n   253→// \treturn nil\n   254→// }\n   255→\n   256→// NodeStateWithNode combines a node state row with denormalized node info.\n   257→type NodeStateWithNode struct {\n   258→\tID              int64  `db:\"id\"`\n   259→\tTimeStamp       int64  `db:\"time_stamp\"`\n   260→\tNodeState       string `db:\"node_state\"`\n   261→\tHealthState     string `db:\"health_state\"`\n   262→\tHealthMetrics   string `db:\"health_metrics\"`\n   263→\tCpusAllocated   int    `db:\"cpus_allocated\"`\n   264→\tMemoryAllocated int64  `db:\"memory_allocated\"`\n   265→\tGpusAllocated   int    `db:\"gpus_allocated\"`\n   266→\tJobsRunning     int    `db:\"jobs_running\"`\n   267→\tHostname        string `db:\"hostname\"`\n   268→\tCluster         string `db:\"cluster\"`\n   269→\tSubCluster      string `db:\"subcluster\"`\n   270→}\n   271→\n   272→// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n   273→// joined with node info for denormalized archiving.\n   274→func (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n   275→\trows, err := sq.Select(\n   276→\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n   277→\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n   278→\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n   279→\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n   280→\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   281→\t).\n   282→\t\tFrom(\"node_state\").\n   283→\t\tJoin(\"node ON node_state.node_id = node.id\").\n   284→\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n   285→\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n   286→\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n   287→\t\tRunWith(r.DB).Query()\n   288→\tif err != nil {\n   289→\t\treturn nil, err\n   290→\t}\n   291→\tdefer rows.Close()\n   292→\n   293→\tvar result []NodeStateWithNode\n   294→\tfor rows.Next() {\n   295→\t\tvar ns NodeStateWithNode\n   296→\t\tvar healthMetrics sql.NullString\n   297→\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n   298→\t\t\t&ns.HealthState, &healthMetrics,\n   299→\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n   300→\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n   301→\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n   302→\t\t\treturn nil, err\n   303→\t\t}\n   304→\t\tns.HealthMetrics = healthMetrics.String\n   305→\t\tresult = append(result, ns)\n   306→\t}\n   307→\treturn result, nil\n   308→}\n   309→\n   310→// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n   311→// but always preserves the row with the latest timestamp per node_id.\n   312→func (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n   313→\tres, err := r.DB.Exec(\n   314→\t\t`DELETE FROM node_state WHERE time_stamp < ?\n   315→\t\t AND id NOT IN (\n   316→\t\t   SELECT id FROM node_state ns2\n   317→\t\t   WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n   318→\t\t )`,\n   319→\t\tcutoff,\n   320→\t)\n   321→\tif err != nil {\n   322→\t\treturn 0, err\n   323→\t}\n   324→\treturn res.RowsAffected()\n   325→}\n   326→\n   327→func (r *NodeRepository) DeleteNode(id int64) error {\n   328→\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n   329→\tif err != nil {\n   330→\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n   331→\t\treturn err\n   332→\t}\n   333→\tcclog.Infof(\"deleted node '%d' from DB\", id)\n   334→\treturn nil\n   335→}\n   336→\n   337→// QueryNodes returns a list of nodes based on a node filter. It always operates\n   338→// on the last state (largest timestamp).\n   339→func (r *NodeRepository) QueryNodes(\n   340→\tctx context.Context,\n   341→\tfilters []*model.NodeFilter,\n   342→\tpage *model.PageRequest,\n   343→\torder *model.OrderByInput, // Currently unused!\n   344→) ([]*schema.Node, error) {\n   345→\tquery, qerr := AccessCheck(ctx,\n   346→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   347→\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n   348→\t\t\tFrom(\"node\").\n   349→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   350→\t\t\tWhere(latestStateCondition()))\n   351→\tif qerr != nil {\n   352→\t\treturn nil, qerr\n   353→\t}\n   354→\n   355→\tquery = applyNodeFilters(query, filters)\n   356→\tquery = query.OrderBy(\"node.hostname ASC\")\n   357→\n   358→\tif page != nil && page.ItemsPerPage != -1 {\n   359→\t\tlimit := uint64(page.ItemsPerPage)\n   360→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n   361→\t}\n   362→\n   363→\trows, err := query.RunWith(r.stmtCache).Query()\n   364→\tif err != nil {\n   365→\t\tqueryString, queryVars, _ := query.ToSql()\n   366→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   367→\t\treturn nil, err\n   368→\t}\n   369→\tdefer rows.Close()\n   370→\n   371→\tnodes := make([]*schema.Node, 0)\n   372→\tfor rows.Next() {\n   373→\t\tnode := schema.Node{}\n   374→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n   375→\t\t\t&node.NodeState, &node.HealthState); err != nil {\n   376→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n   377→\t\t\treturn nil, err\n   378→\t\t}\n   379→\t\tnodes = append(nodes, &node)\n   380→\t}\n   381→\n   382→\tif err := rows.Err(); err != nil {\n   383→\t\treturn nil, err\n   384→\t}\n   385→\n   386→\treturn nodes, nil\n   387→}\n   388→\n   389→// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n   390→// on the last state (largest timestamp). It includes both (!) optional JSON column data\n   391→func (r *NodeRepository) QueryNodesWithMeta(\n   392→\tctx context.Context,\n   393→\tfilters []*model.NodeFilter,\n   394→\tpage *model.PageRequest,\n   395→\torder *model.OrderByInput, // Currently unused!\n   396→) ([]*schema.Node, error) {\n   397→\tquery, qerr := AccessCheck(ctx,\n   398→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   399→\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n   400→\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n   401→\t\t\tFrom(\"node\").\n   402→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   403→\t\t\tWhere(latestStateCondition()))\n   404→\tif qerr != nil {\n   405→\t\treturn nil, qerr\n   406→\t}\n   407→\n   408→\tquery = applyNodeFilters(query, filters)\n   409→\tquery = query.OrderBy(\"node.hostname ASC\")\n   410→\n   411→\tif page != nil && page.ItemsPerPage != -1 {\n   412→\t\tlimit := uint64(page.ItemsPerPage)\n   413→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n   414→\t}\n   415→\n   416→\trows, err := query.RunWith(r.stmtCache).Query()\n   417→\tif err != nil {\n   418→\t\tqueryString, queryVars, _ := query.ToSql()\n   419→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   420→\t\treturn nil, err\n   421→\t}\n   422→\tdefer rows.Close()\n   423→\n   424→\tnodes := make([]*schema.Node, 0)\n   425→\tfor rows.Next() {\n   426→\t\tnode := schema.Node{}\n   427→\t\tRawMetaData := make([]byte, 0)\n   428→\t\tRawMetricHealth := make([]byte, 0)\n   429→\n   430→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n   431→\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n   432→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n   433→\t\t\treturn nil, err\n   434→\t\t}\n   435→\n   436→\t\tif len(RawMetaData) == 0 {\n   437→\t\t\tnode.MetaData = nil\n   438→\t\t} else {\n   439→\t\t\tmetaData := make(map[string]string)\n   440→\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n   441→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n   442→\t\t\t\treturn nil, err\n   443→\t\t\t}\n   444→\t\t\tnode.MetaData = metaData\n   445→\t\t}\n   446→\n   447→\t\tif len(RawMetricHealth) == 0 {\n   448→\t\t\tnode.HealthData = nil\n   449→\t\t} else {\n   450→\t\t\thealthData := make(map[string][]string)\n   451→\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n   452→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n   453→\t\t\t\treturn nil, err\n   454→\t\t\t}\n   455→\t\t\tnode.HealthData = healthData\n   456→\t\t}\n   457→\n   458→\t\tnodes = append(nodes, &node)\n   459→\t}\n   460→\n   461→\tif err := rows.Err(); err != nil {\n   462→\t\treturn nil, err\n   463→\t}\n   464→\n   465→\treturn nodes, nil\n   466→}\n   467→\n   468→// CountNodes returns the total matched nodes based on a node filter. It always operates\n   469→// on the last state (largest timestamp) per node.\n   470→func (r *NodeRepository) CountNodes(\n   471→\tctx context.Context,\n   472→\tfilters []*model.NodeFilter,\n   473→) (int, error) {\n   474→\tquery, qerr := AccessCheck(ctx,\n   475→\t\tsq.Select(\"COUNT(*)\").\n   476→\t\t\tFrom(\"node\").\n   477→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   478→\t\t\tWhere(latestStateCondition()))\n   479→\tif qerr != nil {\n   480→\t\treturn 0, qerr\n   481→\t}\n   482→\n   483→\tquery = applyNodeFilters(query, filters)\n   484→\n   485→\tvar count int\n   486→\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n   487→\t\tqueryString, queryVars, _ := query.ToSql()\n   488→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   489→\t\treturn 0, err\n   490→\t}\n   491→\n   492→\treturn count, nil\n   493→}\n   494→\n   495→func (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n   496→\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   497→\t\t\"node_state.node_state\", \"node_state.health_state\").\n   498→\t\tFrom(\"node\").\n   499→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   500→\t\tWhere(latestStateCondition()).\n   501→\t\tWhere(\"node.cluster = ?\", cluster).\n   502→\t\tOrderBy(\"node.hostname ASC\")\n   503→\n   504→\trows, err := q.RunWith(r.DB).Query()\n   505→\tif err != nil {\n   506→\t\tcclog.Warn(\"Error while querying node list\")\n   507→\t\treturn nil, err\n   508→\t}\n   509→\tnodeList := make([]*schema.Node, 0, 100)\n   510→\tdefer rows.Close()\n   511→\tfor rows.Next() {\n   512→\t\tnode := &schema.Node{}\n   513→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n   514→\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n   515→\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n   516→\t\t\treturn nil, err\n   517→\t\t}\n   518→\n   519→\t\tnodeList = append(nodeList, node)\n   520→\t}\n   521→\n   522→\treturn nodeList, nil\n   523→}\n   524→\n   525→func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n   526→\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n   527→\t\tFrom(\"node\").\n   528→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   529→\t\tWhere(latestStateCondition()).\n   530→\t\tWhere(\"node.cluster = ?\", cluster).\n   531→\t\tOrderBy(\"node.hostname ASC\")\n   532→\n   533→\trows, err := q.RunWith(r.DB).Query()\n   534→\tif err != nil {\n   535→\t\tcclog.Warn(\"Error while querying node list\")\n   536→\t\treturn nil, err\n   537→\t}\n   538→\n   539→\tstateMap := make(map[string]string)\n   540→\tdefer rows.Close()\n   541→\tfor rows.Next() {\n   542→\t\tvar hostname, nodestate string\n   543→\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n   544→\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n   545→\t\t\treturn nil, err\n   546→\t\t}\n   547→\n   548→\t\tstateMap[hostname] = nodestate\n   549→\t}\n   550→\n   551→\treturn stateMap, nil\n   552→}\n   553→\n   554→func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n   555→\tquery, qerr := AccessCheck(ctx,\n   556→\t\tsq.Select(column, \"COUNT(*) as count\").\n   557→\t\t\tFrom(\"node\").\n   558→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   559→\t\t\tWhere(latestStateCondition()).\n   560→\t\t\tGroupBy(column))\n   561→\tif qerr != nil {\n   562→\t\treturn nil, qerr\n   563→\t}\n   564→\n   565→\tquery = applyNodeFilters(query, filters)\n   566→\n   567→\trows, err := query.RunWith(r.stmtCache).Query()\n   568→\tif err != nil {\n   569→\t\tqueryString, queryVars, _ := query.ToSql()\n   570→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   571→\t\treturn nil, err\n   572→\t}\n   573→\tdefer rows.Close()\n   574→\n   575→\tnodes := make([]*model.NodeStates, 0)\n   576→\tfor rows.Next() {\n   577→\t\tvar state string\n   578→\t\tvar count int\n   579→\t\tif err := rows.Scan(&state, &count); err != nil {\n   580→\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n   581→\t\t\treturn nil, err\n   582→\t\t}\n   583→\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n   584→\t}\n   585→\n   586→\tif err := rows.Err(); err != nil {\n   587→\t\treturn nil, err\n   588→\t}\n   589→\n   590→\treturn nodes, nil\n   591→}\n   592→\n   593→func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n   594→\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n   595→\tif qerr != nil {\n   596→\t\treturn nil, qerr\n   597→\t}\n   598→\n   599→\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n   600→\n   601→\tfor _, f := range filters {\n   602→\t\t// Required\n   603→\t\tif f.TimeStart != nil {\n   604→\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n   605→\t\t}\n   606→\t\t// Optional\n   607→\t\tif f.Hostname != nil {\n   608→\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n   609→\t\t}\n   610→\t\tif f.Cluster != nil {\n   611→\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n   612→\t\t}\n   613→\t\tif f.SubCluster != nil {\n   614→\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n   615→\t\t}\n   616→\t\tif f.SchedulerState != nil {\n   617→\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n   618→\t\t}\n   619→\t\tif f.HealthState != nil {\n   620→\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n   621→\t\t}\n   622→\t}\n   623→\n   624→\t// Add Group and Order\n   625→\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n   626→\n   627→\trows, err := query.RunWith(r.stmtCache).Query()\n   628→\tif err != nil {\n   629→\t\tqueryString, queryVars, _ := query.ToSql()\n   630→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   631→\t\treturn nil, err\n   632→\t}\n   633→\tdefer rows.Close()\n   634→\n   635→\trawData := make(map[string][][]int)\n   636→\tfor rows.Next() {\n   637→\t\tvar state string\n   638→\t\tvar timestamp, count int\n   639→\n   640→\t\tif err := rows.Scan(&state, &timestamp, &count); err != nil {\n   641→\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n   642→\t\t\treturn nil, err\n   643→\t\t}\n   644→\n   645→\t\tif rawData[state] == nil {\n   646→\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n   647→\t\t}\n   648→\n   649→\t\trawData[state][0] = append(rawData[state][0], timestamp)\n   650→\t\trawData[state][1] = append(rawData[state][1], count)\n   651→\t}\n   652→\n   653→\tif err := rows.Err(); err != nil {\n   654→\t\treturn nil, err\n   655→\t}\n   656→\n   657→\ttimedStates := make([]*model.NodeStatesTimed, 0)\n   658→\tfor state, data := range rawData {\n   659→\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n   660→\t\ttimedStates = append(timedStates, &entry)\n   661→\t}\n   662→\n   663→\treturn timedStates, nil\n   664→}\n   665→\n   666→func (r *NodeRepository) GetNodesForList(\n   667→\tctx context.Context,\n   668→\tcluster string,\n   669→\tsubCluster string,\n   670→\tstateFilter string,\n   671→\tnodeFilter string,\n   672→\tpage *model.PageRequest,\n   673→) ([]string, map[string]string, int, bool, error) {\n   674→\t// Init Return Vars\n   675→\tnodes := make([]string, 0)\n   676→\tstateMap := make(map[string]string)\n   677→\tcountNodes := 0\n   678→\thasNextPage := false\n   679→\n   680→\t// Build Filters\n   681→\tqueryFilters := make([]*model.NodeFilter, 0)\n   682→\tif cluster != \"\" {\n   683→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n   684→\t}\n   685→\tif subCluster != \"\" {\n   686→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n   687→\t}\n   688→\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n   689→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n   690→\t}\n   691→\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n   692→\t\tqueryState := schema.SchedulerState(stateFilter)\n   693→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n   694→\t}\n   695→\t// if healthFilter != \"all\" {\n   696→\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n   697→\t// }\n   698→\n   699→\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n   700→\tvar backupItems int\n   701→\tif stateFilter == \"notindb\" {\n   702→\t\tbackupItems = page.ItemsPerPage\n   703→\t\tpage.ItemsPerPage = -1\n   704→\t}\n   705→\n   706→\t// Query Nodes From DB\n   707→\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n   708→\tif serr != nil {\n   709→\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n   710→\t\treturn nil, nil, 0, false, serr\n   711→\t}\n   712→\n   713→\t// Intermediate Node Result Info\n   714→\tfor _, node := range rawNodes {\n   715→\t\tif node == nil {\n   716→\t\t\tcontinue\n   717→\t\t}\n   718→\t\tnodes = append(nodes, node.Hostname)\n   719→\t\tstateMap[node.Hostname] = string(node.NodeState)\n   720→\t}\n   721→\n   722→\t// Special Case: Find Nodes not in DB node table but in metricStore only\n   723→\tif stateFilter == \"notindb\" {\n   724→\t\t// Reapply Original Paging\n   725→\t\tpage.ItemsPerPage = backupItems\n   726→\t\t// Get Nodes From Topology\n   727→\t\tvar topoNodes []string\n   728→\t\tif subCluster != \"\" {\n   729→\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n   730→\t\t\ttopoNodes = scNodes.PrintList()\n   731→\t\t} else {\n   732→\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n   733→\t\t\tfor _, nodeList := range subClusterNodeLists {\n   734→\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n   735→\t\t\t}\n   736→\t\t}\n   737→\t\t// Compare to all nodes from cluster/subcluster in DB\n   738→\t\tvar missingNodes []string\n   739→\t\tfor _, scanNode := range topoNodes {\n   740→\t\t\tif !slices.Contains(nodes, scanNode) {\n   741→\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n   742→\t\t\t}\n   743→\t\t}\n   744→\t\t// Filter nodes by name\n   745→\t\tif nodeFilter != \"\" {\n   746→\t\t\tfilteredNodesByName := []string{}\n   747→\t\t\tfor _, missingNode := range missingNodes {\n   748→\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n   749→\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n   750→\t\t\t\t}\n   751→\t\t\t}\n   752→\t\t\tmissingNodes = filteredNodesByName\n   753→\t\t}\n   754→\t\t// Sort Missing Nodes Alphanumerically\n   755→\t\tslices.Sort(missingNodes)\n   756→\t\t// Total Missing\n   757→\t\tcountNodes = len(missingNodes)\n   758→\t\t// Apply paging\n   759→\t\tif countNodes > page.ItemsPerPage {\n   760→\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n   761→\t\t\tend := start + page.ItemsPerPage\n   762→\t\t\tif end > countNodes {\n   763→\t\t\t\tend = countNodes\n   764→\t\t\t\thasNextPage = false\n   765→\t\t\t} else {\n   766→\t\t\t\thasNextPage = true\n   767→\t\t\t}\n   768→\t\t\tnodes = missingNodes[start:end]\n   769→\t\t} else {\n   770→\t\t\tnodes = missingNodes\n   771→\t\t}\n   772→\n   773→\t} else {\n   774→\t\t// DB Nodes: Count and derive hasNextPage from count\n   775→\t\tvar cerr error\n   776→\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n   777→\t\tif cerr != nil {\n   778→\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n   779→\t\t\treturn nil, nil, 0, false, cerr\n   780→\t\t}\n   781→\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n   782→\t}\n   783→\n   784→\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n   785→\tif stateFilter == \"all\" && countNodes == 0 {\n   786→\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n   787→\t}\n   788→\n   789→\treturn nodes, stateMap, countNodes, hasNextPage, nil\n   790→}\n   791→\n   792→func AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n   793→\tuser := GetUserFromContext(ctx)\n   794→\treturn AccessCheckWithUser(user, query)\n   795→}\n   796→\n   797→func AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n   798→\tif user == nil {\n   799→\t\tvar qnil sq.SelectBuilder\n   800→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n   801→\t}\n   802→\n   803→\tswitch {\n   804→\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n   805→\t// \treturn query, nil\n   806→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n   807→\t\treturn query, nil\n   808→\tdefault: // No known Role: No Access, return error\n   809→\t\tvar qnil sq.SelectBuilder\n   810→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n   811→\t}\n   812→}\n   813→\n   814→func getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n   815→\t// 0) Init additional vars\n   816→\thasNextPage := false\n   817→\ttotalNodes := 0\n   818→\n   819→\t// 1) Get list of all nodes\n   820→\tvar topolNodes []string\n   821→\tif subCluster != \"\" {\n   822→\t\tscNodes := archive.NodeLists[cluster][subCluster]\n   823→\t\ttopolNodes = scNodes.PrintList()\n   824→\t} else {\n   825→\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n   826→\t\tfor _, nodeList := range subClusterNodeLists {\n   827→\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n   828→\t\t}\n   829→\t}\n   830→\n   831→\t// 2) Filter nodes\n   832→\tif nodeFilter != \"\" {\n   833→\t\tfilteredNodes := []string{}\n   834→\t\tfor _, node := range topolNodes {\n   835→\t\t\tif strings.Contains(node, nodeFilter) {\n   836→\t\t\t\tfilteredNodes = append(filteredNodes, node)\n   837→\t\t\t}\n   838→\t\t}\n   839→\t\ttopolNodes = filteredNodes\n   840→\t}\n   841→\n   842→\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n   843→\ttotalNodes = len(topolNodes)\n   844→\tsort.Strings(topolNodes)\n   845→\n   846→\t// 3) Apply paging\n   847→\tif len(topolNodes) > page.ItemsPerPage {\n   848→\t\tstart := (page.Page - 1) * page.ItemsPerPage\n   849→\t\tend := start + page.ItemsPerPage\n   850→\t\tif end >= len(topolNodes) {\n   851→\t\t\tend = len(topolNodes)\n   852→\t\t\thasNextPage = false\n   853→\t\t} else {\n   854→\t\t\thasNextPage = true\n   855→\t\t}\n   856→\t\ttopolNodes = topolNodes[start:end]\n   857→\t}\n   858→\n   859→\treturn topolNodes, totalNodes, hasNextPage\n   860→}\n   861→"}]},"uuid":"2188f7a5-cd29-489c-9a95-04382c575155","timestamp":"2026-03-16T10:12:41.122Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sort\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\tnodeRepoOnce     sync.Once\n\tnodeRepoInstance *NodeRepository\n)\n\ntype NodeRepository struct {\n\tDB        *sqlx.DB\n\tstmtCache *sq.StmtCache\n\tcache     *lrucache.Cache\n\tdriver    string\n}\n\nfunc GetNodeRepository() *NodeRepository {\n\tnodeRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tnodeRepoInstance = &NodeRepository{\n\t\t\tDB:     db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache:     lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn nodeRepoInstance\n}\n\n// latestStateCondition returns a squirrel expression that restricts node_state\n// rows to the latest per node_id using a correlated subquery.\n// Requires the query to join node and node_state tables.\nfunc latestStateCondition() sq.Sqlizer {\n\treturn sq.Expr(\n\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n\t)\n}\n\n// applyNodeFilters applies common NodeFilter conditions to a query that joins\n// the node and node_state tables with latestStateCondition.\nfunc applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\treturn query\n}\n\nfunc (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n\tstart := time.Now()\n\n\tRawMetaData := make([]byte, 0)\n\n\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n\t\tcclog.Warn(\"Error while scanning for node metadata\")\n\t\treturn nil, err\n\t}\n\n\tif len(RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tMetaData := make(map[string]string)\n\n\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn MetaData, nil\n}\n\nfunc (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tvar err error\n\t\tvar meta map[string]string\n\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n\t\t\treturn nil, err\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\nfunc (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.id = ?\", id).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n\t\tif metaErr != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n\t\t\treturn nil, metaErr\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\n// const NamedNodeInsert string = `\n// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n//\n//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n\nconst NamedNodeInsert string = `\nINSERT INTO node (hostname, cluster, subcluster)\n\tVALUES (:hostname, :cluster, :subcluster);`\n\n// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n// from a nodestate update from the job scheduler.\nfunc (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n\tvar err error\n\n\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\tnode.ID, err = res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\n\treturn node.ID, nil\n}\n\nconst NamedNodeStateInsert string = `\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n\n// TODO: Add real Monitoring Health State\n\n// UpdateNodeState is called from the Node REST API to add a row in the node state table\nfunc (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n\tvar id int64\n\n\tif err := sq.Select(\"id\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n\t\tQueryRow().Scan(&id); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tnode := schema.NodeDB{\n\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n\t\t\t}\n\t\t\tid, err = r.AddNode(&node)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n\t\t\treturn err\n\t\t}\n\t}\n\n\tnodeState.NodeID = id\n\n\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n\t\treturn err\n\t}\n\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n// \t\treturn err\n// \t}\n//\n// \treturn nil\n// }\n\n// NodeStateWithNode combines a node state row with denormalized node info.\ntype NodeStateWithNode struct {\n\tID              int64  `db:\"id\"`\n\tTimeStamp       int64  `db:\"time_stamp\"`\n\tNodeState       string `db:\"node_state\"`\n\tHealthState     string `db:\"health_state\"`\n\tHealthMetrics   string `db:\"health_metrics\"`\n\tCpusAllocated   int    `db:\"cpus_allocated\"`\n\tMemoryAllocated int64  `db:\"memory_allocated\"`\n\tGpusAllocated   int    `db:\"gpus_allocated\"`\n\tJobsRunning     int    `db:\"jobs_running\"`\n\tHostname        string `db:\"hostname\"`\n\tCluster         string `db:\"cluster\"`\n\tSubCluster      string `db:\"subcluster\"`\n}\n\n// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n// joined with node info for denormalized archiving.\nfunc (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n\trows, err := sq.Select(\n\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t).\n\t\tFrom(\"node_state\").\n\t\tJoin(\"node ON node_state.node_id = node.id\").\n\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n\t\tRunWith(r.DB).Query()\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tvar result []NodeStateWithNode\n\tfor rows.Next() {\n\t\tvar ns NodeStateWithNode\n\t\tvar healthMetrics sql.NullString\n\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n\t\t\t&ns.HealthState, &healthMetrics,\n\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tns.HealthMetrics = healthMetrics.String\n\t\tresult = append(result, ns)\n\t}\n\treturn result, nil\n}\n\n// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n// but always preserves the row with the latest timestamp per node_id.\nfunc (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t`DELETE FROM node_state WHERE time_stamp < ?\n\t\t AND id NOT IN (\n\t\t   SELECT id FROM node_state ns2\n\t\t   WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n\t\t )`,\n\t\tcutoff,\n\t)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn res.RowsAffected()\n}\n\nfunc (r *NodeRepository) DeleteNode(id int64) error {\n\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted node '%d' from DB\", id)\n\treturn nil\n}\n\n// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.\nfunc (r *NodeRepository) CountNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n) (int, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column, \"COUNT(*) as count\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()).\n\t\t\tGroupBy(column))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, &timestamp, &count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,\n\tpage *model.PageRequest,\n) ([]string, map[string]string, int, bool, error) {\n\t// Init Return Vars\n\tnodes := make([]string, 0)\n\tstateMap := make(map[string]string)\n\tcountNodes := 0\n\thasNextPage := false\n\n\t// Build Filters\n\tqueryFilters := make([]*model.NodeFilter, 0)\n\tif cluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n\t}\n\tif subCluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n\t}\n\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n\t}\n\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n\t\tqueryState := schema.SchedulerState(stateFilter)\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n\t}\n\t// if healthFilter != \"all\" {\n\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n\t// }\n\n\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n\tvar backupItems int\n\tif stateFilter == \"notindb\" {\n\t\tbackupItems = page.ItemsPerPage\n\t\tpage.ItemsPerPage = -1\n\t}\n\n\t// Query Nodes From DB\n\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n\tif serr != nil {\n\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n\t\treturn nil, nil, 0, false, serr\n\t}\n\n\t// Intermediate Node Result Info\n\tfor _, node := range rawNodes {\n\t\tif node == nil {\n\t\t\tcontinue\n\t\t}\n\t\tnodes = append(nodes, node.Hostname)\n\t\tstateMap[node.Hostname] = string(node.NodeState)\n\t}\n\n\t// Special Case: Find Nodes not in DB node table but in metricStore only\n\tif stateFilter == \"notindb\" {\n\t\t// Reapply Original Paging\n\t\tpage.ItemsPerPage = backupItems\n\t\t// Get Nodes From Topology\n\t\tvar topoNodes []string\n\t\tif subCluster != \"\" {\n\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\t\ttopoNodes = scNodes.PrintList()\n\t\t} else {\n\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n\t\t\t}\n\t\t}\n\t\t// Compare to all nodes from cluster/subcluster in DB\n\t\tvar missingNodes []string\n\t\tfor _, scanNode := range topoNodes {\n\t\t\tif !slices.Contains(nodes, scanNode) {\n\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n\t\t\t}\n\t\t}\n\t\t// Filter nodes by name\n\t\tif nodeFilter != \"\" {\n\t\t\tfilteredNodesByName := []string{}\n\t\t\tfor _, missingNode := range missingNodes {\n\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n\t\t\t\t}\n\t\t\t}\n\t\t\tmissingNodes = filteredNodesByName\n\t\t}\n\t\t// Sort Missing Nodes Alphanumerically\n\t\tslices.Sort(missingNodes)\n\t\t// Total Missing\n\t\tcountNodes = len(missingNodes)\n\t\t// Apply paging\n\t\tif countNodes > page.ItemsPerPage {\n\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\t\tend := start + page.ItemsPerPage\n\t\t\tif end > countNodes {\n\t\t\t\tend = countNodes\n\t\t\t\thasNextPage = false\n\t\t\t} else {\n\t\t\t\thasNextPage = true\n\t\t\t}\n\t\t\tnodes = missingNodes[start:end]\n\t\t} else {\n\t\t\tnodes = missingNodes\n\t\t}\n\n\t} else {\n\t\t// DB Nodes: Count and derive hasNextPage from count\n\t\tvar cerr error\n\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n\t\tif cerr != nil {\n\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n\t\t\treturn nil, nil, 0, false, cerr\n\t\t}\n\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n\t}\n\n\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n\tif stateFilter == \"all\" && countNodes == 0 {\n\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n\t}\n\n\treturn nodes, stateMap, countNodes, hasNextPage, nil\n}\n\nfunc AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn AccessCheckWithUser(user, query)\n}\n\nfunc AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n\t// \treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n\t\treturn query, nil\n\tdefault: // No known Role: No Access, return error\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\nfunc getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n\t// 0) Init additional vars\n\thasNextPage := false\n\ttotalNodes := 0\n\n\t// 1) Get list of all nodes\n\tvar topolNodes []string\n\tif subCluster != \"\" {\n\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\ttopolNodes = scNodes.PrintList()\n\t} else {\n\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n\t\t}\n\t}\n\n\t// 2) Filter nodes\n\tif nodeFilter != \"\" {\n\t\tfilteredNodes := []string{}\n\t\tfor _, node := range topolNodes {\n\t\t\tif strings.Contains(node, nodeFilter) {\n\t\t\t\tfilteredNodes = append(filteredNodes, node)\n\t\t\t}\n\t\t}\n\t\ttopolNodes = filteredNodes\n\t}\n\n\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n\ttotalNodes = len(topolNodes)\n\tsort.Strings(topolNodes)\n\n\t// 3) Apply paging\n\tif len(topolNodes) > page.ItemsPerPage {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tend := start + page.ItemsPerPage\n\t\tif end >= len(topolNodes) {\n\t\t\tend = len(topolNodes)\n\t\t\thasNextPage = false\n\t\t} else {\n\t\t\thasNextPage = true\n\t\t}\n\t\ttopolNodes = topolNodes[start:end]\n\t}\n\n\treturn topolNodes, totalNodes, hasNextPage\n}\n","numLines":861,"startLine":1,"totalLines":861}},"sourceToolAssistantUUID":"d8f1148f-83ce-49d1-8a7f-4e6531306bf4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"c8d3f293-f0a4-4c69-a19e-1f7a97d640ab","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SbAkMWCk98L7vU7dNCyC7L","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"database/sql\"\n    10→\t\"encoding/json\"\n    11→\t\"strings\"\n    12→\t\"sync\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n    21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n    23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    24→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n    25→)\n    26→\n    27→// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n    28→// It mirrors the functionality of the REST API but uses NATS messaging with\n    29→// InfluxDB line protocol as the message format.\n    30→//\n    31→// # Message Format\n    32→//\n    33→// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n    34→// with the following structure:\n    35→//\n    36→//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n    37→//\n    38→// # Job Events\n    39→//\n    40→// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n    41→//\n    42→//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n    43→//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n    44→//\n    45→// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n    46→//\n    47→// Example job start message:\n    48→//\n    49→//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n    50→//\n    51→// # Node State Events\n    52→//\n    53→// Node state updates use the \"nodestate\" measurement with cluster information:\n    54→//\n    55→//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n    56→//\n    57→// The JSON payload follows the UpdateNodeStatesRequest structure.\n    58→//\n    59→// Example node state message:\n    60→//\n    61→//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\n    62→type NatsAPI struct {\n    63→\tJobRepository *repository.JobRepository\n    64→\t// RepositoryMutex protects job creation operations from race conditions\n    65→\t// when checking for duplicate jobs during startJob calls.\n    66→\tRepositoryMutex sync.Mutex\n    67→}\n    68→\n    69→// NewNatsAPI creates a new NatsAPI instance with default dependencies.\n    70→func NewNatsAPI() *NatsAPI {\n    71→\treturn &NatsAPI{\n    72→\t\tJobRepository: repository.GetJobRepository(),\n    73→\t}\n    74→}\n    75→\n    76→// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n    77→// Returns an error if the NATS client is not available or subscription fails.\n    78→func (api *NatsAPI) StartSubscriptions() error {\n    79→\tclient := nats.GetClient()\n    80→\tif client == nil {\n    81→\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n    82→\t\treturn nil\n    83→\t}\n    84→\n    85→\tif config.Keys.APISubjects != nil {\n    86→\n    87→\t\ts := config.Keys.APISubjects\n    88→\n    89→\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n    90→\t\t\treturn err\n    91→\t\t}\n    92→\n    93→\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n    94→\t\t\treturn err\n    95→\t\t}\n    96→\n    97→\t\tcclog.Info(\"NATS API subscriptions started\")\n    98→\t}\n    99→\treturn nil\n   100→}\n   101→\n   102→// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n   103→// Validates that required tags and fields are present before processing.\n   104→func (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n   105→\tfunction, ok := msg.GetTag(\"function\")\n   106→\tif !ok {\n   107→\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n   108→\t\treturn\n   109→\t}\n   110→\n   111→\tswitch function {\n   112→\tcase \"start_job\":\n   113→\t\tv, ok := msg.GetEventValue()\n   114→\t\tif !ok {\n   115→\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n   116→\t\t\treturn\n   117→\t\t}\n   118→\t\tapi.handleStartJob(v)\n   119→\n   120→\tcase \"stop_job\":\n   121→\t\tv, ok := msg.GetEventValue()\n   122→\t\tif !ok {\n   123→\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n   124→\t\t\treturn\n   125→\t\t}\n   126→\t\tapi.handleStopJob(v)\n   127→\n   128→\tdefault:\n   129→\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n   130→\t}\n   131→}\n   132→\n   133→// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n   134→// The message must be in line protocol format with measurement=\"job\" and include:\n   135→//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n   136→//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n   137→//\n   138→// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\n   139→func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n   140→\tif len(data) == 0 {\n   141→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n   142→\t\treturn\n   143→\t}\n   144→\n   145→\td := influx.NewDecoderWithBytes(data)\n   146→\n   147→\tfor d.Next() {\n   148→\t\tm, err := receivers.DecodeInfluxMessage(d)\n   149→\t\tif err != nil {\n   150→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n   151→\t\t\treturn\n   152→\t\t}\n   153→\n   154→\t\tif !m.IsEvent() {\n   155→\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n   156→\t\t\tcontinue\n   157→\t\t}\n   158→\n   159→\t\tif m.Name() == \"job\" {\n   160→\t\t\tapi.processJobEvent(m)\n   161→\t\t} else {\n   162→\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n   163→\t\t}\n   164→\t}\n   165→}\n   166→\n   167→// handleStartJob processes job start messages received via NATS.\n   168→// The payload parameter contains JSON following the schema.Job structure.\n   169→// Jobs are validated, checked for duplicates, and inserted into the database.\n   170→func (api *NatsAPI) handleStartJob(payload string) {\n   171→\tif payload == \"\" {\n   172→\t\tcclog.Error(\"NATS start job: payload is empty\")\n   173→\t\treturn\n   174→\t}\n   175→\treq := schema.Job{\n   176→\t\tShared:           \"none\",\n   177→\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n   178→\t}\n   179→\n   180→\tdec := json.NewDecoder(strings.NewReader(payload))\n   181→\tdec.DisallowUnknownFields()\n   182→\tif err := dec.Decode(&req); err != nil {\n   183→\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n   184→\t\treturn\n   185→\t}\n   186→\n   187→\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n   188→\treq.State = schema.JobStateRunning\n   189→\n   190→\tif err := importer.SanityChecks(&req); err != nil {\n   191→\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n   192→\t\treturn\n   193→\t}\n   194→\n   195→\tvar unlockOnce sync.Once\n   196→\tapi.RepositoryMutex.Lock()\n   197→\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n   198→\n   199→\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n   200→\tif err != nil && err != sql.ErrNoRows {\n   201→\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n   202→\t\treturn\n   203→\t}\n   204→\tif err == nil {\n   205→\t\tfor _, job := range jobs {\n   206→\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n   207→\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n   208→\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n   209→\t\t\t\treturn\n   210→\t\t\t}\n   211→\t\t}\n   212→\t}\n   213→\n   214→\t// When tags are present, insert directly into the job table so that the\n   215→\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n   216→\tvar id int64\n   217→\tif len(req.Tags) > 0 {\n   218→\t\tid, err = api.JobRepository.StartDirect(&req)\n   219→\t} else {\n   220→\t\tid, err = api.JobRepository.Start(&req)\n   221→\t}\n   222→\tif err != nil {\n   223→\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n   224→\t\treturn\n   225→\t}\n   226→\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n   227→\n   228→\tfor _, tag := range req.Tags {\n   229→\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n   230→\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n   231→\t\t\treturn\n   232→\t\t}\n   233→\t}\n   234→\n   235→\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n   236→\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n   237→}\n   238→\n   239→// handleStopJob processes job stop messages received via NATS.\n   240→// The payload parameter contains JSON following the StopJobAPIRequest structure.\n   241→// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\n   242→func (api *NatsAPI) handleStopJob(payload string) {\n   243→\tif payload == \"\" {\n   244→\t\tcclog.Error(\"NATS stop job: payload is empty\")\n   245→\t\treturn\n   246→\t}\n   247→\tvar req StopJobAPIRequest\n   248→\n   249→\tdec := json.NewDecoder(strings.NewReader(payload))\n   250→\tdec.DisallowUnknownFields()\n   251→\tif err := dec.Decode(&req); err != nil {\n   252→\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n   253→\t\treturn\n   254→\t}\n   255→\n   256→\tif req.JobID == nil {\n   257→\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n   258→\t\treturn\n   259→\t}\n   260→\n   261→\tisCached := false\n   262→\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n   263→\tif err != nil {\n   264→\t\t// Not in cache, try main job table\n   265→\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n   266→\t\tif err != nil {\n   267→\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n   268→\t\t\treturn\n   269→\t\t}\n   270→\t} else {\n   271→\t\tisCached = true\n   272→\t}\n   273→\n   274→\tif job.State != schema.JobStateRunning {\n   275→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n   276→\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n   277→\t\treturn\n   278→\t}\n   279→\n   280→\tif job.StartTime > req.StopTime {\n   281→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n   282→\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n   283→\t\treturn\n   284→\t}\n   285→\n   286→\tif req.State != \"\" && !req.State.Valid() {\n   287→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n   288→\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n   289→\t\treturn\n   290→\t} else if req.State == \"\" {\n   291→\t\treq.State = schema.JobStateCompleted\n   292→\t}\n   293→\n   294→\tjob.Duration = int32(req.StopTime - job.StartTime)\n   295→\tjob.State = req.State\n   296→\tapi.JobRepository.Mutex.Lock()\n   297→\tdefer api.JobRepository.Mutex.Unlock()\n   298→\n   299→\t// If the job is still in job_cache, transfer it to the job table first\n   300→\tif isCached {\n   301→\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n   302→\t\tif err != nil {\n   303→\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n   304→\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n   305→\t\t\treturn\n   306→\t\t}\n   307→\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n   308→\t\tjob.ID = &newID\n   309→\t}\n   310→\n   311→\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n   312→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n   313→\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n   314→\t\treturn\n   315→\t}\n   316→\n   317→\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n   318→\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n   319→\n   320→\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n   321→\t\treturn\n   322→\t}\n   323→\n   324→\tarchiver.TriggerArchiving(job)\n   325→}\n   326→\n   327→// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n   328→// Updates node states in the repository for all nodes in the payload.\n   329→func (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n   330→\tv, ok := msg.GetEventValue()\n   331→\tif !ok {\n   332→\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n   333→\t\treturn\n   334→\t}\n   335→\n   336→\tvar req UpdateNodeStatesRequest\n   337→\n   338→\tdec := json.NewDecoder(strings.NewReader(v))\n   339→\tdec.DisallowUnknownFields()\n   340→\tif err := dec.Decode(&req); err != nil {\n   341→\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n   342→\t\treturn\n   343→\t}\n   344→\n   345→\trepo := repository.GetNodeRepository()\n   346→\trequestReceived := time.Now().Unix()\n   347→\n   348→\tfor _, node := range req.Nodes {\n   349→\t\tstate := determineState(node.States)\n   350→\t\tnodeState := schema.NodeStateDB{\n   351→\t\t\tTimeStamp:       requestReceived,\n   352→\t\t\tNodeState:       state,\n   353→\t\t\tCpusAllocated:   node.CpusAllocated,\n   354→\t\t\tMemoryAllocated: node.MemoryAllocated,\n   355→\t\t\tGpusAllocated:   node.GpusAllocated,\n   356→\t\t\tHealthState:     schema.MonitoringStateFull,\n   357→\t\t\tJobsRunning:     node.JobsRunning,\n   358→\t\t}\n   359→\n   360→\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n   361→\t\t\tcclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",\n   362→\t\t\t\tnode.Hostname, req.Cluster, err)\n   363→\t\t}\n   364→\t}\n   365→\n   366→\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n   367→}\n   368→\n   369→// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n   370→// The message must be in line protocol format with measurement=\"nodestate\" and include:\n   371→//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n   372→//\n   373→// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\n   374→func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n   375→\tif len(data) == 0 {\n   376→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n   377→\t\treturn\n   378→\t}\n   379→\n   380→\td := influx.NewDecoderWithBytes(data)\n   381→\n   382→\tfor d.Next() {\n   383→\t\tm, err := receivers.DecodeInfluxMessage(d)\n   384→\t\tif err != nil {\n   385→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n   386→\t\t\treturn\n   387→\t\t}\n   388→\n   389→\t\tif !m.IsEvent() {\n   390→\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n   391→\t\t\tcontinue\n   392→\t\t}\n   393→\n   394→\t\tif m.Name() == \"nodestate\" {\n   395→\t\t\tapi.processNodestateEvent(m)\n   396→\t\t} else {\n   397→\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n   398→\t\t}\n   399→\t}\n   400→}\n   401→"}]},"uuid":"186dcc55-1ec7-4336-abee-c9a5e56c2a8f","timestamp":"2026-03-16T10:12:41.400Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","numLines":401,"startLine":1,"totalLines":401}},"sourceToolAssistantUUID":"c8d3f293-f0a4-4c69-a19e-1f7a97d640ab","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"186dcc55-1ec7-4336-abee-c9a5e56c2a8f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014TL3pbSWBVr2pivAjUxp1C","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"2778e110-6ad8-4f0f-901e-a221ad5b2824","timestamp":"2026-03-16T10:12:41.836Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"2778e110-6ad8-4f0f-901e-a221ad5b2824","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014TL3pbSWBVr2pivAjUxp1C","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"fmt\"\n    10→\t\"maps\"\n    11→\t\"net/http\"\n    12→\t\"strings\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→)\n    22→\n    23→type UpdateNodeStatesRequest struct {\n    24→\tNodes   []schema.NodePayload `json:\"nodes\"`\n    25→\tCluster string               `json:\"cluster\" example:\"fritz\"`\n    26→}\n    27→\n    28→// metricListToNames converts a map of metric configurations to a list of metric names\n    29→func metricListToNames(metricList map[string]*schema.Metric) []string {\n    30→\tnames := make([]string, 0, len(metricList))\n    31→\tfor name := range metricList {\n    32→\t\tnames = append(names, name)\n    33→\t}\n    34→\treturn names\n    35→}\n    36→\n    37→// this routine assumes that only one of them exists per node\n    38→func determineState(states []string) schema.SchedulerState {\n    39→\tfor _, state := range states {\n    40→\t\tswitch strings.ToLower(state) {\n    41→\t\tcase \"allocated\":\n    42→\t\t\treturn schema.NodeStateAllocated\n    43→\t\tcase \"reserved\":\n    44→\t\t\treturn schema.NodeStateReserved\n    45→\t\tcase \"idle\":\n    46→\t\t\treturn schema.NodeStateIdle\n    47→\t\tcase \"down\":\n    48→\t\t\treturn schema.NodeStateDown\n    49→\t\tcase \"mixed\":\n    50→\t\t\treturn schema.NodeStateMixed\n    51→\t\t}\n    52→\t}\n    53→\n    54→\treturn schema.NodeStateUnknown\n    55→}\n    56→\n    57→// updateNodeStates godoc\n    58→// @summary     Deliver updated Slurm node states\n    59→// @tags Nodestates\n    60→// @description Returns a JSON-encoded list of users.\n    61→// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n    62→// @produce     json\n    63→// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n    64→// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n    65→// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n    66→// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n    67→// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n    68→// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n    69→// @security    ApiKeyAuth\n    70→// @router      /api/nodestats/ [post]\n    71→func (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n    72→\t// Parse request body\n    73→\treq := UpdateNodeStatesRequest{}\n    74→\tif err := decode(r.Body, &req); err != nil {\n    75→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n    76→\t\t\thttp.StatusBadRequest, rw)\n    77→\t\treturn\n    78→\t}\n    79→\trequestReceived := time.Now().Unix()\n    80→\trepo := repository.GetNodeRepository()\n    81→\n    82→\tm := make(map[string][]string)\n    83→\tmetricNames := make(map[string][]string)\n    84→\thealthResults := make(map[string]metricstore.HealthCheckResult)\n    85→\n    86→\tstartMs := time.Now()\n    87→\n    88→\t// Step 1: Build nodeList and metricList per subcluster\n    89→\tfor _, node := range req.Nodes {\n    90→\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n    91→\t\t\tm[sc] = append(m[sc], node.Hostname)\n    92→\t\t}\n    93→\t}\n    94→\n    95→\tfor sc := range m {\n    96→\t\tif sc != \"\" {\n    97→\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n    98→\t\t\tmetricNames[sc] = metricListToNames(metricList)\n    99→\t\t}\n   100→\t}\n   101→\n   102→\t// Step 2: Determine which metric store to query and perform health check\n   103→\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n   104→\tif err != nil {\n   105→\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n   106→\t} else {\n   107→\t\tfor sc, nl := range m {\n   108→\t\t\tif sc != \"\" {\n   109→\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n   110→\t\t\t\t\tmaps.Copy(healthResults, results)\n   111→\t\t\t\t}\n   112→\t\t\t}\n   113→\t\t}\n   114→\t}\n   115→\n   116→\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n   117→\tstartDB := time.Now()\n   118→\n   119→\tfor _, node := range req.Nodes {\n   120→\t\tstate := determineState(node.States)\n   121→\t\thealthState := schema.MonitoringStateFailed\n   122→\t\tvar healthMetrics string\n   123→\t\tif result, ok := healthResults[node.Hostname]; ok {\n   124→\t\t\thealthState = result.State\n   125→\t\t\thealthMetrics = result.HealthMetrics\n   126→\t\t}\n   127→\t\tnodeState := schema.NodeStateDB{\n   128→\t\t\tTimeStamp:       requestReceived,\n   129→\t\t\tNodeState:       state,\n   130→\t\t\tCpusAllocated:   node.CpusAllocated,\n   131→\t\t\tMemoryAllocated: node.MemoryAllocated,\n   132→\t\t\tGpusAllocated:   node.GpusAllocated,\n   133→\t\t\tHealthState:     healthState,\n   134→\t\t\tHealthMetrics:   healthMetrics,\n   135→\t\t\tJobsRunning:     node.JobsRunning,\n   136→\t\t}\n   137→\n   138→\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n   139→\t\t\tcclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",\n   140→\t\t\t\tnode.Hostname, req.Cluster, err)\n   141→\t\t}\n   142→\t}\n   143→\n   144→\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n   145→}\n   146→"}]},"uuid":"78f555f7-8f16-44fa-b61b-ca0e4f57eefa","timestamp":"2026-03-16T10:12:41.842Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"fmt\"\n\t\"maps\"\n\t\"net/http\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\ntype UpdateNodeStatesRequest struct {\n\tNodes   []schema.NodePayload `json:\"nodes\"`\n\tCluster string               `json:\"cluster\" example:\"fritz\"`\n}\n\n// metricListToNames converts a map of metric configurations to a list of metric names\nfunc metricListToNames(metricList map[string]*schema.Metric) []string {\n\tnames := make([]string, 0, len(metricList))\n\tfor name := range metricList {\n\t\tnames = append(names, name)\n\t}\n\treturn names\n}\n\n// this routine assumes that only one of them exists per node\nfunc determineState(states []string) schema.SchedulerState {\n\tfor _, state := range states {\n\t\tswitch strings.ToLower(state) {\n\t\tcase \"allocated\":\n\t\t\treturn schema.NodeStateAllocated\n\t\tcase \"reserved\":\n\t\t\treturn schema.NodeStateReserved\n\t\tcase \"idle\":\n\t\t\treturn schema.NodeStateIdle\n\t\tcase \"down\":\n\t\t\treturn schema.NodeStateDown\n\t\tcase \"mixed\":\n\t\t\treturn schema.NodeStateMixed\n\t\t}\n\t}\n\n\treturn schema.NodeStateUnknown\n}\n\n// updateNodeStates godoc\n// @summary     Deliver updated Slurm node states\n// @tags Nodestates\n// @description Returns a JSON-encoded list of users.\n// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n// @produce     json\n// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/nodestats/ [post]\nfunc (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n\t// Parse request body\n\treq := UpdateNodeStatesRequest{}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n\t\t\thttp.StatusBadRequest, rw)\n\t\treturn\n\t}\n\trequestReceived := time.Now().Unix()\n\trepo := repository.GetNodeRepository()\n\n\tm := make(map[string][]string)\n\tmetricNames := make(map[string][]string)\n\thealthResults := make(map[string]metricstore.HealthCheckResult)\n\n\tstartMs := time.Now()\n\n\t// Step 1: Build nodeList and metricList per subcluster\n\tfor _, node := range req.Nodes {\n\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n\t\t\tm[sc] = append(m[sc], node.Hostname)\n\t\t}\n\t}\n\n\tfor sc := range m {\n\t\tif sc != \"\" {\n\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n\t\t\tmetricNames[sc] = metricListToNames(metricList)\n\t\t}\n\t}\n\n\t// Step 2: Determine which metric store to query and perform health check\n\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n\tif err != nil {\n\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n\t} else {\n\t\tfor sc, nl := range m {\n\t\t\tif sc != \"\" {\n\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n\t\t\t\t\tmaps.Copy(healthResults, results)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     healthState,\n\t\t\tHealthMetrics:   healthMetrics,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n}\n","numLines":146,"startLine":1,"totalLines":146}},"sourceToolAssistantUUID":"2778e110-6ad8-4f0f-901e-a221ad5b2824","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"ab33adee-9926-4c38-af68-7a0b5d885ff8","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QZn1z7o6wW6qHVFPQ63xir","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package repository\n     6→\n     7→import (\n     8→\t\"context\"\n     9→\t\"database/sql\"\n    10→\t\"encoding/json\"\n    11→\t\"errors\"\n    12→\t\"fmt\"\n    13→\t\"reflect\"\n    14→\t\"strings\"\n    15→\t\"sync\"\n    16→\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→\tsq \"github.com/Masterminds/squirrel\"\n    22→\t\"github.com/jmoiron/sqlx\"\n    23→\t\"golang.org/x/crypto/bcrypt\"\n    24→)\n    25→\n    26→// Authentication and Role System:\n    27→//\n    28→// ClusterCockpit supports multiple authentication sources:\n    29→//   - Local: Username/password stored in database (password hashed with bcrypt)\n    30→//   - LDAP: External LDAP/Active Directory authentication\n    31→//   - JWT: Token-based authentication for API access\n    32→//\n    33→// Role Hierarchy (from highest to lowest privilege):\n    34→//   1. \"admin\" - Full system access, can manage all users and jobs\n    35→//   2. \"support\" - Can view all jobs but limited management capabilities\n    36→//   3. \"manager\" - Can manage specific projects and their users\n    37→//   4. \"api\" - Programmatic access for job submission/management\n    38→//   5. \"user\" - Default role, can only view own jobs\n    39→//\n    40→// Project Association:\n    41→//   - Managers have a list of projects they oversee\n    42→//   - Regular users' project membership is determined by job data\n    43→//   - Managers can view/manage all jobs within their projects\n    44→\n    45→var (\n    46→\tuserRepoOnce     sync.Once\n    47→\tuserRepoInstance *UserRepository\n    48→)\n    49→\n    50→type UserRepository struct {\n    51→\tDB     *sqlx.DB\n    52→\tdriver string\n    53→}\n    54→\n    55→func GetUserRepository() *UserRepository {\n    56→\tuserRepoOnce.Do(func() {\n    57→\t\tdb := GetConnection()\n    58→\n    59→\t\tuserRepoInstance = &UserRepository{\n    60→\t\t\tDB:     db.DB,\n    61→\t\t\tdriver: db.Driver,\n    62→\t\t}\n    63→\t})\n    64→\treturn userRepoInstance\n    65→}\n    66→\n    67→// GetUser retrieves a user by username from the database.\n    68→// Returns the complete user record including hashed password, roles, and projects.\n    69→// Password field contains bcrypt hash for local auth users, empty for LDAP users.\n    70→func (r *UserRepository) GetUser(username string) (*schema.User, error) {\n    71→\tuser := &schema.User{Username: username}\n    72→\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n    73→\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n    74→\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n    75→\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n    76→\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n    77→\t\treturn nil, err\n    78→\t}\n    79→\n    80→\tuser.Password = hashedPassword.String\n    81→\tuser.Name = name.String\n    82→\tuser.Email = email.String\n    83→\tif rawRoles.Valid {\n    84→\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n    85→\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n    86→\t\t\treturn nil, err\n    87→\t\t}\n    88→\t}\n    89→\tif rawProjects.Valid {\n    90→\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n    91→\t\t\treturn nil, err\n    92→\t\t}\n    93→\t}\n    94→\n    95→\treturn user, nil\n    96→}\n    97→\n    98→func (r *UserRepository) GetLdapUsernames() ([]string, error) {\n    99→\tvar users []string\n   100→\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n   101→\tif err != nil {\n   102→\t\tcclog.Warn(\"Error while querying usernames\")\n   103→\t\treturn nil, err\n   104→\t}\n   105→\tdefer rows.Close()\n   106→\n   107→\tfor rows.Next() {\n   108→\t\tvar username string\n   109→\t\tif err := rows.Scan(&username); err != nil {\n   110→\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n   111→\t\t\treturn nil, err\n   112→\t\t}\n   113→\n   114→\t\tusers = append(users, username)\n   115→\t}\n   116→\n   117→\treturn users, nil\n   118→}\n   119→\n   120→// AddUser creates a new user in the database.\n   121→// Passwords are automatically hashed with bcrypt before storage.\n   122→// Auth source determines authentication method (local, LDAP, etc.).\n   123→//\n   124→// Required fields: Username, Roles\n   125→// Optional fields: Name, Email, Password, Projects, AuthSource\n   126→func (r *UserRepository) AddUser(user *schema.User) error {\n   127→\trolesJson, _ := json.Marshal(user.Roles)\n   128→\tprojectsJson, _ := json.Marshal(user.Projects)\n   129→\n   130→\tcols := []string{\"username\", \"roles\", \"projects\"}\n   131→\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n   132→\n   133→\tif user.Name != \"\" {\n   134→\t\tcols = append(cols, \"name\")\n   135→\t\tvals = append(vals, user.Name)\n   136→\t}\n   137→\tif user.Email != \"\" {\n   138→\t\tcols = append(cols, \"email\")\n   139→\t\tvals = append(vals, user.Email)\n   140→\t}\n   141→\tif user.Password != \"\" {\n   142→\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n   143→\t\tif err != nil {\n   144→\t\t\tcclog.Error(\"Error while encrypting new user password\")\n   145→\t\t\treturn err\n   146→\t\t}\n   147→\t\tcols = append(cols, \"password\")\n   148→\t\tvals = append(vals, string(password))\n   149→\t}\n   150→\tif user.AuthSource != -1 {\n   151→\t\tcols = append(cols, \"ldap\")\n   152→\t\tvals = append(vals, int(user.AuthSource))\n   153→\t}\n   154→\n   155→\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n   156→\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n   157→\t\treturn err\n   158→\t}\n   159→\n   160→\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n   161→\n   162→\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n   163→\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n   164→\tif err != nil {\n   165→\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n   166→\t} else if defaultMetricsCfg != nil {\n   167→\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n   168→\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n   169→\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n   170→\t\t\tif err != nil {\n   171→\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n   172→\t\t\t\tcontinue\n   173→\t\t\t}\n   174→\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n   175→\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n   176→\t\t\tif _, err := sq.Insert(\"configuration\").\n   177→\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n   178→\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n   179→\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n   180→\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n   181→\t\t\t} else {\n   182→\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n   183→\t\t\t}\n   184→\t\t}\n   185→\t}\n   186→\t// END DEPRECATION\n   187→\n   188→\treturn nil\n   189→}\n   190→\n   191→func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n   192→\t// user contains updated info -> Apply to dbUser\n   193→\t// --- Simple Name Update ---\n   194→\tif dbUser.Name != user.Name {\n   195→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n   196→\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n   197→\t\t\treturn err\n   198→\t\t}\n   199→\t}\n   200→\n   201→\t// --- Def Helpers ---\n   202→\t// Helper to update roles\n   203→\tupdateRoles := func(roles []string) error {\n   204→\t\trolesJSON, _ := json.Marshal(roles)\n   205→\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n   206→\t\treturn err\n   207→\t}\n   208→\n   209→\t// Helper to update projects\n   210→\tupdateProjects := func(projects []string) error {\n   211→\t\tprojectsJSON, _ := json.Marshal(projects)\n   212→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n   213→\t\treturn err\n   214→\t}\n   215→\n   216→\t// Helper to clear projects\n   217→\tclearProjects := func() error {\n   218→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n   219→\t\treturn err\n   220→\t}\n   221→\n   222→\t// --- Manager Role Handling ---\n   223→\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n   224→\t\t// Existing Manager: update projects\n   225→\t\tif err := updateProjects(user.Projects); err != nil {\n   226→\t\t\treturn err\n   227→\t\t}\n   228→\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n   229→\t\t// New Manager: update roles and projects\n   230→\t\tif err := updateRoles(user.Roles); err != nil {\n   231→\t\t\treturn err\n   232→\t\t}\n   233→\t\tif err := updateProjects(user.Projects); err != nil {\n   234→\t\t\treturn err\n   235→\t\t}\n   236→\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n   237→\t\t// Remove Manager: update roles and clear projects\n   238→\t\tif err := updateRoles(user.Roles); err != nil {\n   239→\t\t\treturn err\n   240→\t\t}\n   241→\t\tif err := clearProjects(); err != nil {\n   242→\t\t\treturn err\n   243→\t\t}\n   244→\t}\n   245→\n   246→\t// --- Support Role Handling ---\n   247→\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n   248→\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n   249→\t\t// New Support: update roles\n   250→\t\tif err := updateRoles(user.Roles); err != nil {\n   251→\t\t\treturn err\n   252→\t\t}\n   253→\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n   254→\t\t// Remove Support: update roles\n   255→\t\tif err := updateRoles(user.Roles); err != nil {\n   256→\t\t\treturn err\n   257→\t\t}\n   258→\t}\n   259→\n   260→\treturn nil\n   261→}\n   262→\n   263→func (r *UserRepository) DelUser(username string) error {\n   264→\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n   265→\tif err != nil {\n   266→\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n   267→\t\treturn err\n   268→\t}\n   269→\tcclog.Infof(\"deleted user '%s' from DB\", username)\n   270→\treturn nil\n   271→}\n   272→\n   273→func (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n   274→\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n   275→\tif specialsOnly {\n   276→\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n   277→\t}\n   278→\n   279→\trows, err := q.RunWith(r.DB).Query()\n   280→\tif err != nil {\n   281→\t\tcclog.Warn(\"Error while querying user list\")\n   282→\t\treturn nil, err\n   283→\t}\n   284→\n   285→\tusers := make([]*schema.User, 0)\n   286→\tdefer rows.Close()\n   287→\tfor rows.Next() {\n   288→\t\trawroles := \"\"\n   289→\t\trawprojects := \"\"\n   290→\t\tuser := &schema.User{}\n   291→\t\tvar name, email sql.NullString\n   292→\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n   293→\t\t\tcclog.Warn(\"Error while scanning user list\")\n   294→\t\t\treturn nil, err\n   295→\t\t}\n   296→\n   297→\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n   298→\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n   299→\t\t\treturn nil, err\n   300→\t\t}\n   301→\n   302→\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n   303→\t\t\treturn nil, err\n   304→\t\t}\n   305→\n   306→\t\tuser.Name = name.String\n   307→\t\tuser.Email = email.String\n   308→\t\tusers = append(users, user)\n   309→\t}\n   310→\treturn users, nil\n   311→}\n   312→\n   313→// AddRole adds a role to a user's role list.\n   314→// Role string is automatically lowercased.\n   315→// Valid roles: admin, support, manager, api, user\n   316→//\n   317→// Returns error if:\n   318→//   - User doesn't exist\n   319→//   - Role is invalid\n   320→//   - User already has the role\n   321→func (r *UserRepository) AddRole(\n   322→\tctx context.Context,\n   323→\tusername string,\n   324→\tqueryrole string,\n   325→) error {\n   326→\tnewRole := strings.ToLower(queryrole)\n   327→\tuser, err := r.GetUser(username)\n   328→\tif err != nil {\n   329→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n   330→\t\treturn err\n   331→\t}\n   332→\n   333→\texists, valid := user.HasValidRole(newRole)\n   334→\n   335→\tif !valid {\n   336→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n   337→\t}\n   338→\tif exists {\n   339→\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n   340→\t}\n   341→\n   342→\troles, _ := json.Marshal(append(user.Roles, newRole))\n   343→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n   344→\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n   345→\t\treturn err\n   346→\t}\n   347→\treturn nil\n   348→}\n   349→\n   350→// RemoveRole removes a role from a user's role list.\n   351→//\n   352→// Special rules:\n   353→//   - Cannot remove \"manager\" role while user has assigned projects\n   354→//   - Must remove all projects first before removing manager role\n   355→func (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n   356→\toldRole := strings.ToLower(queryrole)\n   357→\tuser, err := r.GetUser(username)\n   358→\tif err != nil {\n   359→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n   360→\t\treturn err\n   361→\t}\n   362→\n   363→\texists, valid := user.HasValidRole(oldRole)\n   364→\n   365→\tif !valid {\n   366→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n   367→\t}\n   368→\tif !exists {\n   369→\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n   370→\t}\n   371→\n   372→\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n   373→\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n   374→\t}\n   375→\n   376→\tvar newroles []string\n   377→\tfor _, r := range user.Roles {\n   378→\t\tif r != oldRole {\n   379→\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n   380→\t\t}\n   381→\t}\n   382→\n   383→\tmroles, _ := json.Marshal(newroles)\n   384→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n   385→\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n   386→\t\treturn err\n   387→\t}\n   388→\treturn nil\n   389→}\n   390→\n   391→// AddProject assigns a project to a manager user.\n   392→// Only users with the \"manager\" role can have assigned projects.\n   393→//\n   394→// Returns error if:\n   395→//   - User doesn't have manager role\n   396→//   - User already manages the project\n   397→func (r *UserRepository) AddProject(\n   398→\tctx context.Context,\n   399→\tusername string,\n   400→\tproject string,\n   401→) error {\n   402→\tuser, err := r.GetUser(username)\n   403→\tif err != nil {\n   404→\t\treturn err\n   405→\t}\n   406→\n   407→\tif !user.HasRole(schema.RoleManager) {\n   408→\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n   409→\t}\n   410→\n   411→\tif user.HasProject(project) {\n   412→\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n   413→\t}\n   414→\n   415→\tprojects, _ := json.Marshal(append(user.Projects, project))\n   416→\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n   417→\t\treturn err\n   418→\t}\n   419→\n   420→\treturn nil\n   421→}\n   422→\n   423→func (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n   424→\tuser, err := r.GetUser(username)\n   425→\tif err != nil {\n   426→\t\treturn err\n   427→\t}\n   428→\n   429→\tif !user.HasRole(schema.RoleManager) {\n   430→\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n   431→\t}\n   432→\n   433→\tif !user.HasProject(project) {\n   434→\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n   435→\t}\n   436→\n   437→\tvar exists bool\n   438→\tvar newprojects []string\n   439→\tfor _, p := range user.Projects {\n   440→\t\tif p != project {\n   441→\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n   442→\t\t} else {\n   443→\t\t\texists = true\n   444→\t\t}\n   445→\t}\n   446→\n   447→\tif exists {\n   448→\t\tvar result any\n   449→\t\tif len(newprojects) == 0 {\n   450→\t\t\tresult = \"[]\"\n   451→\t\t} else {\n   452→\t\t\tresult, _ = json.Marshal(newprojects)\n   453→\t\t}\n   454→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n   455→\t\t\treturn err\n   456→\t\t}\n   457→\t\treturn nil\n   458→\t} else {\n   459→\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n   460→\t}\n   461→}\n   462→\n   463→type ContextKey string\n   464→\n   465→const ContextUserKey ContextKey = \"user\"\n   466→\n   467→func GetUserFromContext(ctx context.Context) *schema.User {\n   468→\tx := ctx.Value(ContextUserKey)\n   469→\tif x == nil {\n   470→\t\tcclog.Warnf(\"no user retrieved from context\")\n   471→\t\treturn nil\n   472→\t}\n   473→\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n   474→\treturn x.(*schema.User)\n   475→}\n   476→\n   477→func (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n   478→\tme := GetUserFromContext(ctx)\n   479→\tif me != nil && me.Username != username &&\n   480→\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n   481→\t\treturn nil, errors.New(\"forbidden\")\n   482→\t}\n   483→\n   484→\tuser := &model.User{Username: username}\n   485→\tvar name, email sql.NullString\n   486→\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n   487→\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n   488→\t\tif err == sql.ErrNoRows {\n   489→\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n   490→\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n   491→\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n   492→\t\t\treturn nil, nil\n   493→\t\t}\n   494→\n   495→\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n   496→\t\treturn nil, err\n   497→\t}\n   498→\n   499→\tuser.Name = name.String\n   500→\tuser.Email = email.String\n   501→\treturn user, nil\n   502→}\n   503→"}]},"uuid":"26e7307a-8d39-4350-a911-4c4d39002d8f","timestamp":"2026-03-16T10:12:42.250Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"reflect\"\n\t\"strings\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"golang.org/x/crypto/bcrypt\"\n)\n\n// Authentication and Role System:\n//\n// ClusterCockpit supports multiple authentication sources:\n//   - Local: Username/password stored in database (password hashed with bcrypt)\n//   - LDAP: External LDAP/Active Directory authentication\n//   - JWT: Token-based authentication for API access\n//\n// Role Hierarchy (from highest to lowest privilege):\n//   1. \"admin\" - Full system access, can manage all users and jobs\n//   2. \"support\" - Can view all jobs but limited management capabilities\n//   3. \"manager\" - Can manage specific projects and their users\n//   4. \"api\" - Programmatic access for job submission/management\n//   5. \"user\" - Default role, can only view own jobs\n//\n// Project Association:\n//   - Managers have a list of projects they oversee\n//   - Regular users' project membership is determined by job data\n//   - Managers can view/manage all jobs within their projects\n\nvar (\n\tuserRepoOnce     sync.Once\n\tuserRepoInstance *UserRepository\n)\n\ntype UserRepository struct {\n\tDB     *sqlx.DB\n\tdriver string\n}\n\nfunc GetUserRepository() *UserRepository {\n\tuserRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tuserRepoInstance = &UserRepository{\n\t\t\tDB:     db.DB,\n\t\t\tdriver: db.Driver,\n\t\t}\n\t})\n\treturn userRepoInstance\n}\n\n// GetUser retrieves a user by username from the database.\n// Returns the complete user record including hashed password, roles, and projects.\n// Password field contains bcrypt hash for local auth users, empty for LDAP users.\nfunc (r *UserRepository) GetUser(username string) (*schema.User, error) {\n\tuser := &schema.User{Username: username}\n\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Password = hashedPassword.String\n\tuser.Name = name.String\n\tuser.Email = email.String\n\tif rawRoles.Valid {\n\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\tif rawProjects.Valid {\n\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn user, nil\n}\n\nfunc (r *UserRepository) GetLdapUsernames() ([]string, error) {\n\tvar users []string\n\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying usernames\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar username string\n\t\tif err := rows.Scan(&username); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tusers = append(users, username)\n\t}\n\n\treturn users, nil\n}\n\n// AddUser creates a new user in the database.\n// Passwords are automatically hashed with bcrypt before storage.\n// Auth source determines authentication method (local, LDAP, etc.).\n//\n// Required fields: Username, Roles\n// Optional fields: Name, Email, Password, Projects, AuthSource\nfunc (r *UserRepository) AddUser(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := []string{\"username\", \"roles\", \"projects\"}\n\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n\n\tif user.Name != \"\" {\n\t\tcols = append(cols, \"name\")\n\t\tvals = append(vals, user.Name)\n\t}\n\tif user.Email != \"\" {\n\t\tcols = append(cols, \"email\")\n\t\tvals = append(vals, user.Email)\n\t}\n\tif user.Password != \"\" {\n\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"Error while encrypting new user password\")\n\t\t\treturn err\n\t\t}\n\t\tcols = append(cols, \"password\")\n\t\tvals = append(vals, string(password))\n\t}\n\tif user.AuthSource != -1 {\n\t\tcols = append(cols, \"ldap\")\n\t\tvals = append(vals, int(user.AuthSource))\n\t}\n\n\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n\t\treturn err\n\t}\n\n\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n\n\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n\t} else if defaultMetricsCfg != nil {\n\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n\t\t\tif _, err := sq.Insert(\"configuration\").\n\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n\t\t\t} else {\n\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n\t\t\t}\n\t\t}\n\t}\n\t// END DEPRECATION\n\n\treturn nil\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n\t// user contains updated info -> Apply to dbUser\n\t// --- Simple Name Update ---\n\tif dbUser.Name != user.Name {\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Def Helpers ---\n\t// Helper to update roles\n\tupdateRoles := func(roles []string) error {\n\t\trolesJSON, _ := json.Marshal(roles)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to update projects\n\tupdateProjects := func(projects []string) error {\n\t\tprojectsJSON, _ := json.Marshal(projects)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to clear projects\n\tclearProjects := func() error {\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// --- Manager Role Handling ---\n\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n\t\t// Existing Manager: update projects\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Manager: update roles and projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n\t\t// Remove Manager: update roles and clear projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := clearProjects(); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Support Role Handling ---\n\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t// Remove Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) DelUser(username string) error {\n\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted user '%s' from DB\", username)\n\treturn nil\n}\n\nfunc (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n\tif specialsOnly {\n\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n\t}\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying user list\")\n\t\treturn nil, err\n\t}\n\n\tusers := make([]*schema.User, 0)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\trawroles := \"\"\n\t\trawprojects := \"\"\n\t\tuser := &schema.User{}\n\t\tvar name, email sql.NullString\n\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning user list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tuser.Name = name.String\n\t\tuser.Email = email.String\n\t\tusers = append(users, user)\n\t}\n\treturn users, nil\n}\n\n// AddRole adds a role to a user's role list.\n// Role string is automatically lowercased.\n// Valid roles: admin, support, manager, api, user\n//\n// Returns error if:\n//   - User doesn't exist\n//   - Role is invalid\n//   - User already has the role\nfunc (r *UserRepository) AddRole(\n\tctx context.Context,\n\tusername string,\n\tqueryrole string,\n) error {\n\tnewRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(newRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n\t}\n\tif exists {\n\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n\t}\n\n\troles, _ := json.Marshal(append(user.Roles, newRole))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// RemoveRole removes a role from a user's role list.\n//\n// Special rules:\n//   - Cannot remove \"manager\" role while user has assigned projects\n//   - Must remove all projects first before removing manager role\nfunc (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n\toldRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(oldRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n\t}\n\tif !exists {\n\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n\t}\n\n\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n\t}\n\n\tvar newroles []string\n\tfor _, r := range user.Roles {\n\t\tif r != oldRole {\n\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n\t\t}\n\t}\n\n\tmroles, _ := json.Marshal(newroles)\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// AddProject assigns a project to a manager user.\n// Only users with the \"manager\" role can have assigned projects.\n//\n// Returns error if:\n//   - User doesn't have manager role\n//   - User already manages the project\nfunc (r *UserRepository) AddProject(\n\tctx context.Context,\n\tusername string,\n\tproject string,\n) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n\t}\n\n\tif user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n\t}\n\n\tprojects, _ := json.Marshal(append(user.Projects, project))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n\t}\n\n\tif !user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n\t}\n\n\tvar exists bool\n\tvar newprojects []string\n\tfor _, p := range user.Projects {\n\t\tif p != project {\n\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n\t\t} else {\n\t\t\texists = true\n\t\t}\n\t}\n\n\tif exists {\n\t\tvar result any\n\t\tif len(newprojects) == 0 {\n\t\t\tresult = \"[]\"\n\t\t} else {\n\t\t\tresult, _ = json.Marshal(newprojects)\n\t\t}\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\t\treturn err\n\t\t}\n\t\treturn nil\n\t} else {\n\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n\t}\n}\n\ntype ContextKey string\n\nconst ContextUserKey ContextKey = \"user\"\n\nfunc GetUserFromContext(ctx context.Context) *schema.User {\n\tx := ctx.Value(ContextUserKey)\n\tif x == nil {\n\t\tcclog.Warnf(\"no user retrieved from context\")\n\t\treturn nil\n\t}\n\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n\treturn x.(*schema.User)\n}\n\nfunc (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n\tme := GetUserFromContext(ctx)\n\tif me != nil && me.Username != username &&\n\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"forbidden\")\n\t}\n\n\tuser := &model.User{Username: username}\n\tvar name, email sql.NullString\n\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n\t\t\treturn nil, nil\n\t\t}\n\n\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Name = name.String\n\tuser.Email = email.String\n\treturn user, nil\n}\n","numLines":503,"startLine":1,"totalLines":503}},"sourceToolAssistantUUID":"ab33adee-9926-4c38-af68-7a0b5d885ff8","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"794d5b22-e6b4-461a-8b60-f67f3e47e371","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ScKNjBXsx7mQEXVVigVhmt","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package auth\n     7→\n     8→import (\n     9→\t\"fmt\"\n    10→\t\"net\"\n    11→\t\"net/http\"\n    12→\t\"os\"\n    13→\t\"strings\"\n    14→\t\"time\"\n    15→\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    17→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    18→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    19→\t\"github.com/go-ldap/ldap/v3\"\n    20→)\n    21→\n    22→type LdapConfig struct {\n    23→\tURL             string `json:\"url\"`\n    24→\tUserBase        string `json:\"user-base\"`\n    25→\tSearchDN        string `json:\"search-dn\"`\n    26→\tUserBind        string `json:\"user-bind\"`\n    27→\tUserFilter      string `json:\"user-filter\"`\n    28→\tUserAttr        string `json:\"username-attr\"`\n    29→\tUIDAttr         string `json:\"uid-attr\"`\n    30→\tSyncInterval    string `json:\"sync-interval\"` // Parsed using time.ParseDuration.\n    31→\tSyncDelOldUsers bool   `json:\"sync-del-old-users\"`\n    32→\n    33→\t// Should a non-existent user be added to the DB if user exists in ldap directory\n    34→\tSyncUserOnLogin   bool `json:\"sync-user-on-login\"`\n    35→\tUpdateUserOnLogin bool `json:\"update-user-on-login\"`\n    36→}\n    37→\n    38→type LdapAuthenticator struct {\n    39→\tsyncPassword string\n    40→\tUserAttr     string\n    41→\tUIDAttr      string\n    42→}\n    43→\n    44→var _ Authenticator = (*LdapAuthenticator)(nil)\n    45→\n    46→func (la *LdapAuthenticator) Init() error {\n    47→\tla.syncPassword = os.Getenv(\"LDAP_ADMIN_PASSWORD\")\n    48→\tif la.syncPassword == \"\" {\n    49→\t\tcclog.Warn(\"environment variable 'LDAP_ADMIN_PASSWORD' not set (ldap sync will not work)\")\n    50→\t}\n    51→\n    52→\tif Keys.LdapConfig.UserAttr != \"\" {\n    53→\t\tla.UserAttr = Keys.LdapConfig.UserAttr\n    54→\t} else {\n    55→\t\tla.UserAttr = \"gecos\"\n    56→\t}\n    57→\n    58→\tif Keys.LdapConfig.UIDAttr != \"\" {\n    59→\t\tla.UIDAttr = Keys.LdapConfig.UIDAttr\n    60→\t} else {\n    61→\t\tla.UIDAttr = \"uid\"\n    62→\t}\n    63→\n    64→\treturn nil\n    65→}\n    66→\n    67→func (la *LdapAuthenticator) CanLogin(\n    68→\tuser *schema.User,\n    69→\tusername string,\n    70→\trw http.ResponseWriter,\n    71→\tr *http.Request,\n    72→) (*schema.User, bool) {\n    73→\tlc := Keys.LdapConfig\n    74→\n    75→\tif user != nil {\n    76→\t\tif user.AuthSource == schema.AuthViaLDAP {\n    77→\t\t\treturn user, true\n    78→\t\t}\n    79→\t} else if lc.SyncUserOnLogin {\n    80→\t\tl, err := la.getLdapConnection(true)\n    81→\t\tif err != nil {\n    82→\t\t\tcclog.Error(\"LDAP connection error\")\n    83→\t\t\treturn nil, false\n    84→\t\t}\n    85→\t\tdefer l.Close()\n    86→\n    87→\t\t// Search for the given username\n    88→\t\tsearchRequest := ldap.NewSearchRequest(\n    89→\t\t\tlc.UserBase,\n    90→\t\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n    91→\t\t\tfmt.Sprintf(\"(&%s(%s=%s))\", lc.UserFilter, la.UIDAttr, ldap.EscapeFilter(username)),\n    92→\t\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil)\n    93→\n    94→\t\tsr, err := l.Search(searchRequest)\n    95→\t\tif err != nil {\n    96→\t\t\tcclog.Warn(err)\n    97→\t\t\treturn nil, false\n    98→\t\t}\n    99→\n   100→\t\tif len(sr.Entries) != 1 {\n   101→\t\t\tcclog.Warn(\"LDAP: User does not exist or too many entries returned\")\n   102→\t\t\treturn nil, false\n   103→\t\t}\n   104→\n   105→\t\tentry := sr.Entries[0]\n   106→\t\tuser = &schema.User{\n   107→\t\t\tUsername:   username,\n   108→\t\t\tName:       entry.GetAttributeValue(la.UserAttr),\n   109→\t\t\tRoles:      []string{schema.GetRoleString(schema.RoleUser)},\n   110→\t\t\tProjects:   make([]string, 0),\n   111→\t\t\tAuthType:   schema.AuthSession,\n   112→\t\t\tAuthSource: schema.AuthViaLDAP,\n   113→\t\t}\n   114→\n   115→\t\thandleLdapUser(user)\n   116→\t\treturn user, true\n   117→\t}\n   118→\n   119→\treturn nil, false\n   120→}\n   121→\n   122→func (la *LdapAuthenticator) Login(\n   123→\tuser *schema.User,\n   124→\trw http.ResponseWriter,\n   125→\tr *http.Request,\n   126→) (*schema.User, error) {\n   127→\tl, err := la.getLdapConnection(false)\n   128→\tif err != nil {\n   129→\t\tcclog.Warn(\"Error while getting ldap connection\")\n   130→\t\treturn nil, err\n   131→\t}\n   132→\tdefer l.Close()\n   133→\n   134→\tuserDn := strings.ReplaceAll(Keys.LdapConfig.UserBind, \"{username}\", ldap.EscapeDN(user.Username))\n   135→\tif err := l.Bind(userDn, r.FormValue(\"password\")); err != nil {\n   136→\t\tcclog.Errorf(\"AUTH/LDAP > Authentication for user %s failed: %v\",\n   137→\t\t\tuser.Username, err)\n   138→\t\treturn nil, fmt.Errorf(\"Authentication failed\")\n   139→\t}\n   140→\n   141→\treturn user, nil\n   142→}\n   143→\n   144→func (la *LdapAuthenticator) Sync() error {\n   145→\tconst InDB int = 1\n   146→\tconst InLdap int = 2\n   147→\tconst InBoth int = 3\n   148→\tur := repository.GetUserRepository()\n   149→\tlc := Keys.LdapConfig\n   150→\n   151→\tusers := map[string]int{}\n   152→\tusernames, err := ur.GetLdapUsernames()\n   153→\tif err != nil {\n   154→\t\treturn err\n   155→\t}\n   156→\n   157→\tfor _, username := range usernames {\n   158→\t\tusers[username] = InDB\n   159→\t}\n   160→\n   161→\tl, err := la.getLdapConnection(true)\n   162→\tif err != nil {\n   163→\t\tcclog.Error(\"LDAP connection error\")\n   164→\t\treturn err\n   165→\t}\n   166→\tdefer l.Close()\n   167→\n   168→\tldapResults, err := l.Search(ldap.NewSearchRequest(\n   169→\t\tlc.UserBase,\n   170→\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n   171→\t\tlc.UserFilter,\n   172→\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil))\n   173→\tif err != nil {\n   174→\t\tcclog.Warn(\"LDAP search error\")\n   175→\t\treturn err\n   176→\t}\n   177→\n   178→\tnewnames := map[string]string{}\n   179→\tfor _, entry := range ldapResults.Entries {\n   180→\t\tusername := entry.GetAttributeValue(la.UIDAttr)\n   181→\t\tif username == \"\" {\n   182→\t\t\treturn fmt.Errorf(\"no attribute '%s'\", la.UIDAttr)\n   183→\t\t}\n   184→\n   185→\t\t_, ok := users[username]\n   186→\t\tif !ok {\n   187→\t\t\tusers[username] = InLdap\n   188→\t\t\tnewnames[username] = entry.GetAttributeValue(la.UserAttr)\n   189→\t\t} else {\n   190→\t\t\tusers[username] = InBoth\n   191→\t\t}\n   192→\t}\n   193→\n   194→\tfor username, where := range users {\n   195→\t\tif where == InDB && lc.SyncDelOldUsers {\n   196→\t\t\tif err := ur.DelUser(username); err != nil {\n   197→\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Delete from DB failed: %v\", username, err)\n   198→\t\t\t\treturn err\n   199→\t\t\t}\n   200→\t\t\tcclog.Debugf(\"sync: remove %v (does not show up in LDAP anymore)\", username)\n   201→\t\t} else if where == InLdap {\n   202→\t\t\tname := newnames[username]\n   203→\n   204→\t\t\tuser := &schema.User{\n   205→\t\t\t\tUsername:   username,\n   206→\t\t\t\tName:       name,\n   207→\t\t\t\tRoles:      []string{schema.GetRoleString(schema.RoleUser)},\n   208→\t\t\t\tProjects:   make([]string, 0),\n   209→\t\t\t\tAuthSource: schema.AuthViaLDAP,\n   210→\t\t\t}\n   211→\n   212→\t\t\tcclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)\n   213→\t\t\tif err := ur.AddUser(user); err != nil {\n   214→\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)\n   215→\t\t\t\treturn err\n   216→\t\t\t}\n   217→\t\t}\n   218→\t}\n   219→\n   220→\treturn nil\n   221→}\n   222→\n   223→func (la *LdapAuthenticator) getLdapConnection(admin bool) (*ldap.Conn, error) {\n   224→\tlc := Keys.LdapConfig\n   225→\tconn, err := ldap.DialURL(lc.URL,\n   226→\t\tldap.DialWithDialer(&net.Dialer{Timeout: 10 * time.Second}))\n   227→\tif err != nil {\n   228→\t\tcclog.Warn(\"LDAP URL dial failed\")\n   229→\t\treturn nil, err\n   230→\t}\n   231→\tconn.SetTimeout(30 * time.Second)\n   232→\n   233→\tif admin {\n   234→\t\tif err := conn.Bind(lc.SearchDN, la.syncPassword); err != nil {\n   235→\t\t\tconn.Close()\n   236→\t\t\tcclog.Warn(\"LDAP connection bind failed\")\n   237→\t\t\treturn nil, err\n   238→\t\t}\n   239→\t}\n   240→\n   241→\treturn conn, nil\n   242→}\n   243→"}]},"uuid":"88e19298-997f-4e34-93a8-9b98c3bbbe57","timestamp":"2026-03-16T10:12:42.716Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/auth/ldap.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage auth\n\nimport (\n\t\"fmt\"\n\t\"net\"\n\t\"net/http\"\n\t\"os\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/go-ldap/ldap/v3\"\n)\n\ntype LdapConfig struct {\n\tURL             string `json:\"url\"`\n\tUserBase        string `json:\"user-base\"`\n\tSearchDN        string `json:\"search-dn\"`\n\tUserBind        string `json:\"user-bind\"`\n\tUserFilter      string `json:\"user-filter\"`\n\tUserAttr        string `json:\"username-attr\"`\n\tUIDAttr         string `json:\"uid-attr\"`\n\tSyncInterval    string `json:\"sync-interval\"` // Parsed using time.ParseDuration.\n\tSyncDelOldUsers bool   `json:\"sync-del-old-users\"`\n\n\t// Should a non-existent user be added to the DB if user exists in ldap directory\n\tSyncUserOnLogin   bool `json:\"sync-user-on-login\"`\n\tUpdateUserOnLogin bool `json:\"update-user-on-login\"`\n}\n\ntype LdapAuthenticator struct {\n\tsyncPassword string\n\tUserAttr     string\n\tUIDAttr      string\n}\n\nvar _ Authenticator = (*LdapAuthenticator)(nil)\n\nfunc (la *LdapAuthenticator) Init() error {\n\tla.syncPassword = os.Getenv(\"LDAP_ADMIN_PASSWORD\")\n\tif la.syncPassword == \"\" {\n\t\tcclog.Warn(\"environment variable 'LDAP_ADMIN_PASSWORD' not set (ldap sync will not work)\")\n\t}\n\n\tif Keys.LdapConfig.UserAttr != \"\" {\n\t\tla.UserAttr = Keys.LdapConfig.UserAttr\n\t} else {\n\t\tla.UserAttr = \"gecos\"\n\t}\n\n\tif Keys.LdapConfig.UIDAttr != \"\" {\n\t\tla.UIDAttr = Keys.LdapConfig.UIDAttr\n\t} else {\n\t\tla.UIDAttr = \"uid\"\n\t}\n\n\treturn nil\n}\n\nfunc (la *LdapAuthenticator) CanLogin(\n\tuser *schema.User,\n\tusername string,\n\trw http.ResponseWriter,\n\tr *http.Request,\n) (*schema.User, bool) {\n\tlc := Keys.LdapConfig\n\n\tif user != nil {\n\t\tif user.AuthSource == schema.AuthViaLDAP {\n\t\t\treturn user, true\n\t\t}\n\t} else if lc.SyncUserOnLogin {\n\t\tl, err := la.getLdapConnection(true)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"LDAP connection error\")\n\t\t\treturn nil, false\n\t\t}\n\t\tdefer l.Close()\n\n\t\t// Search for the given username\n\t\tsearchRequest := ldap.NewSearchRequest(\n\t\t\tlc.UserBase,\n\t\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n\t\t\tfmt.Sprintf(\"(&%s(%s=%s))\", lc.UserFilter, la.UIDAttr, ldap.EscapeFilter(username)),\n\t\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil)\n\n\t\tsr, err := l.Search(searchRequest)\n\t\tif err != nil {\n\t\t\tcclog.Warn(err)\n\t\t\treturn nil, false\n\t\t}\n\n\t\tif len(sr.Entries) != 1 {\n\t\t\tcclog.Warn(\"LDAP: User does not exist or too many entries returned\")\n\t\t\treturn nil, false\n\t\t}\n\n\t\tentry := sr.Entries[0]\n\t\tuser = &schema.User{\n\t\t\tUsername:   username,\n\t\t\tName:       entry.GetAttributeValue(la.UserAttr),\n\t\t\tRoles:      []string{schema.GetRoleString(schema.RoleUser)},\n\t\t\tProjects:   make([]string, 0),\n\t\t\tAuthType:   schema.AuthSession,\n\t\t\tAuthSource: schema.AuthViaLDAP,\n\t\t}\n\n\t\thandleLdapUser(user)\n\t\treturn user, true\n\t}\n\n\treturn nil, false\n}\n\nfunc (la *LdapAuthenticator) Login(\n\tuser *schema.User,\n\trw http.ResponseWriter,\n\tr *http.Request,\n) (*schema.User, error) {\n\tl, err := la.getLdapConnection(false)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting ldap connection\")\n\t\treturn nil, err\n\t}\n\tdefer l.Close()\n\n\tuserDn := strings.ReplaceAll(Keys.LdapConfig.UserBind, \"{username}\", ldap.EscapeDN(user.Username))\n\tif err := l.Bind(userDn, r.FormValue(\"password\")); err != nil {\n\t\tcclog.Errorf(\"AUTH/LDAP > Authentication for user %s failed: %v\",\n\t\t\tuser.Username, err)\n\t\treturn nil, fmt.Errorf(\"Authentication failed\")\n\t}\n\n\treturn user, nil\n}\n\nfunc (la *LdapAuthenticator) Sync() error {\n\tconst InDB int = 1\n\tconst InLdap int = 2\n\tconst InBoth int = 3\n\tur := repository.GetUserRepository()\n\tlc := Keys.LdapConfig\n\n\tusers := map[string]int{}\n\tusernames, err := ur.GetLdapUsernames()\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tfor _, username := range usernames {\n\t\tusers[username] = InDB\n\t}\n\n\tl, err := la.getLdapConnection(true)\n\tif err != nil {\n\t\tcclog.Error(\"LDAP connection error\")\n\t\treturn err\n\t}\n\tdefer l.Close()\n\n\tldapResults, err := l.Search(ldap.NewSearchRequest(\n\t\tlc.UserBase,\n\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n\t\tlc.UserFilter,\n\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil))\n\tif err != nil {\n\t\tcclog.Warn(\"LDAP search error\")\n\t\treturn err\n\t}\n\n\tnewnames := map[string]string{}\n\tfor _, entry := range ldapResults.Entries {\n\t\tusername := entry.GetAttributeValue(la.UIDAttr)\n\t\tif username == \"\" {\n\t\t\treturn fmt.Errorf(\"no attribute '%s'\", la.UIDAttr)\n\t\t}\n\n\t\t_, ok := users[username]\n\t\tif !ok {\n\t\t\tusers[username] = InLdap\n\t\t\tnewnames[username] = entry.GetAttributeValue(la.UserAttr)\n\t\t} else {\n\t\t\tusers[username] = InBoth\n\t\t}\n\t}\n\n\tfor username, where := range users {\n\t\tif where == InDB && lc.SyncDelOldUsers {\n\t\t\tif err := ur.DelUser(username); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Delete from DB failed: %v\", username, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tcclog.Debugf(\"sync: remove %v (does not show up in LDAP anymore)\", username)\n\t\t} else if where == InLdap {\n\t\t\tname := newnames[username]\n\n\t\t\tuser := &schema.User{\n\t\t\t\tUsername:   username,\n\t\t\t\tName:       name,\n\t\t\t\tRoles:      []string{schema.GetRoleString(schema.RoleUser)},\n\t\t\t\tProjects:   make([]string, 0),\n\t\t\t\tAuthSource: schema.AuthViaLDAP,\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)\n\t\t\tif err := ur.AddUser(user); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (la *LdapAuthenticator) getLdapConnection(admin bool) (*ldap.Conn, error) {\n\tlc := Keys.LdapConfig\n\tconn, err := ldap.DialURL(lc.URL,\n\t\tldap.DialWithDialer(&net.Dialer{Timeout: 10 * time.Second}))\n\tif err != nil {\n\t\tcclog.Warn(\"LDAP URL dial failed\")\n\t\treturn nil, err\n\t}\n\tconn.SetTimeout(30 * time.Second)\n\n\tif admin {\n\t\tif err := conn.Bind(lc.SearchDN, la.syncPassword); err != nil {\n\t\t\tconn.Close()\n\t\t\tcclog.Warn(\"LDAP connection bind failed\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn conn, nil\n}\n","numLines":243,"startLine":1,"totalLines":243}},"sourceToolAssistantUUID":"794d5b22-e6b4-461a-8b60-f67f3e47e371","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"e001baa9-61e4-45ac-b202-53caad8b525f","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GpAw7qx8NsDwkEM2UaDjvA","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"encoding/json\"\n    10→\t\"fmt\"\n    11→\n    12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    14→\tsq \"github.com/Masterminds/squirrel\"\n    15→)\n    16→\n    17→const NamedJobCacheInsert string = `INSERT INTO job_cache (\n    18→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n    19→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n    20→) VALUES (\n    21→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n    22→  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n    23→);`\n    24→\n    25→const NamedJobInsert string = `INSERT INTO job (\n    26→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n    27→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n    28→) VALUES (\n    29→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n    30→  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n    31→);`\n    32→\n    33→// InsertJobDirect inserts a job directly into the job table (not job_cache).\n    34→// Use this when the returned ID will be used for operations on the job table\n    35→// (e.g., adding tags), or for imported jobs that are already completed.\n    36→func (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n    37→\tr.Mutex.Lock()\n    38→\tdefer r.Mutex.Unlock()\n    39→\n    40→\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n    41→\tif err != nil {\n    42→\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n    43→\t\treturn 0, err\n    44→\t}\n    45→\tid, err := res.LastInsertId()\n    46→\tif err != nil {\n    47→\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n    48→\t\treturn 0, err\n    49→\t}\n    50→\n    51→\treturn id, nil\n    52→}\n    53→\n    54→func (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n    55→\tr.Mutex.Lock()\n    56→\tdefer r.Mutex.Unlock()\n    57→\n    58→\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n    59→\tif err != nil {\n    60→\t\tcclog.Warn(\"Error while NamedJobInsert\")\n    61→\t\treturn 0, err\n    62→\t}\n    63→\tid, err := res.LastInsertId()\n    64→\tif err != nil {\n    65→\t\tcclog.Warn(\"Error while getting last insert ID\")\n    66→\t\treturn 0, err\n    67→\t}\n    68→\n    69→\treturn id, nil\n    70→}\n    71→\n    72→func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n    73→\tr.Mutex.Lock()\n    74→\tdefer r.Mutex.Unlock()\n    75→\n    76→\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n    77→\n    78→\trows, err := query.RunWith(r.stmtCache).Query()\n    79→\tif err != nil {\n    80→\t\tcclog.Errorf(\"Error while running query %v\", err)\n    81→\t\treturn nil, err\n    82→\t}\n    83→\tdefer rows.Close()\n    84→\n    85→\tjobs := make([]*schema.Job, 0, 50)\n    86→\tfor rows.Next() {\n    87→\t\tjob, err := scanJob(rows)\n    88→\t\tif err != nil {\n    89→\t\t\tcclog.Warn(\"Error while scanning rows\")\n    90→\t\t\treturn nil, err\n    91→\t\t}\n    92→\t\tjobs = append(jobs, job)\n    93→\t}\n    94→\n    95→\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n    96→\t_, err = r.DB.Exec(\n    97→\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n    98→\tif err != nil {\n    99→\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n   100→\t\treturn nil, err\n   101→\t}\n   102→\n   103→\t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n   104→\tif err != nil {\n   105→\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n   106→\t\treturn nil, err\n   107→\t}\n   108→\n   109→\t// Resolve correct job.id from the job table. The IDs read from job_cache\n   110→\t// are from a different auto-increment sequence and must not be used to\n   111→\t// query the job table.\n   112→\tfor _, job := range jobs {\n   113→\t\tvar newID int64\n   114→\t\tif err := sq.Select(\"job.id\").From(\"job\").\n   115→\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n   116→\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n   117→\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n   118→\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n   119→\t\t\t\tjob.JobID, job.Cluster, err)\n   120→\t\t\tcontinue\n   121→\t\t}\n   122→\t\tjob.ID = &newID\n   123→\t}\n   124→\n   125→\treturn jobs, nil\n   126→}\n   127→\n   128→// TransferCachedJobToMain moves a job from job_cache to the job table.\n   129→// Caller must hold r.Mutex. Returns the new job table ID.\n   130→func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n   131→\tres, err := r.DB.Exec(\n   132→\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n   133→\t\tcacheID)\n   134→\tif err != nil {\n   135→\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n   136→\t}\n   137→\n   138→\tnewID, err := res.LastInsertId()\n   139→\tif err != nil {\n   140→\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n   141→\t}\n   142→\n   143→\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n   144→\tif err != nil {\n   145→\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n   146→\t}\n   147→\n   148→\treturn newID, nil\n   149→}\n   150→\n   151→// Start inserts a new job in the table, returning the unique job ID.\n   152→// Statistics are not transfered!\n   153→func (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n   154→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   155→\tif err != nil {\n   156→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n   157→\t}\n   158→\n   159→\tjob.RawResources, err = json.Marshal(job.Resources)\n   160→\tif err != nil {\n   161→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n   162→\t}\n   163→\n   164→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n   165→\tif err != nil {\n   166→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n   167→\t}\n   168→\n   169→\treturn r.InsertJob(job)\n   170→}\n   171→\n   172→// StartDirect inserts a new job directly into the job table (not job_cache).\n   173→// Use this when the returned ID will immediately be used for job table\n   174→// operations such as adding tags.\n   175→func (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n   176→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   177→\tif err != nil {\n   178→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n   179→\t}\n   180→\n   181→\tjob.RawResources, err = json.Marshal(job.Resources)\n   182→\tif err != nil {\n   183→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n   184→\t}\n   185→\n   186→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n   187→\tif err != nil {\n   188→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n   189→\t}\n   190→\n   191→\treturn r.InsertJobDirect(job)\n   192→}\n   193→\n   194→// Stop updates the job with the database id jobId using the provided arguments.\n   195→func (r *JobRepository) Stop(\n   196→\tjobID int64,\n   197→\tduration int32,\n   198→\tstate schema.JobState,\n   199→\tmonitoringStatus int32,\n   200→) (err error) {\n   201→\t// Invalidate cache entries as job state is changing\n   202→\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n   203→\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n   204→\n   205→\tstmt := sq.Update(\"job\").\n   206→\t\tSet(\"job_state\", state).\n   207→\t\tSet(\"duration\", duration).\n   208→\t\tSet(\"monitoring_status\", monitoringStatus).\n   209→\t\tWhere(\"job.id = ?\", jobID)\n   210→\n   211→\t_, err = stmt.RunWith(r.stmtCache).Exec()\n   212→\treturn err\n   213→}\n   214→"}]},"uuid":"b1410bed-082c-4942-bdc0-f810e807e257","timestamp":"2026-03-16T10:12:42.900Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"encoding/json\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst NamedJobCacheInsert string = `INSERT INTO job_cache (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n);`\n\nconst NamedJobInsert string = `INSERT INTO job (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n);`\n\n// InsertJobDirect inserts a job directly into the job table (not job_cache).\n// Use this when the returned ID will be used for operations on the job table\n// (e.g., adding tags), or for imported jobs that are already completed.\nfunc (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = r.DB.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}\n\n// TransferCachedJobToMain moves a job from job_cache to the job table.\n// Caller must hold r.Mutex. Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\treturn newID, nil\n}\n\n// Start inserts a new job in the table, returning the unique job ID.\n// Statistics are not transfered!\nfunc (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJob(job)\n}\n\n// StartDirect inserts a new job directly into the job table (not job_cache).\n// Use this when the returned ID will immediately be used for job table\n// operations such as adding tags.\nfunc (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJobDirect(job)\n}\n\n// Stop updates the job with the database id jobId using the provided arguments.\nfunc (r *JobRepository) Stop(\n\tjobID int64,\n\tduration int32,\n\tstate schema.JobState,\n\tmonitoringStatus int32,\n) (err error) {\n\t// Invalidate cache entries as job state is changing\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n\n\tstmt := sq.Update(\"job\").\n\t\tSet(\"job_state\", state).\n\t\tSet(\"duration\", duration).\n\t\tSet(\"monitoring_status\", monitoringStatus).\n\t\tWhere(\"job.id = ?\", jobID)\n\n\t_, err = stmt.RunWith(r.stmtCache).Exec()\n\treturn err\n}\n","numLines":214,"startLine":1,"totalLines":214}},"sourceToolAssistantUUID":"e001baa9-61e4-45ac-b202-53caad8b525f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport \"time\"\n\n// RepositoryConfig holds configuration for repository operations.\n// All fields have sensible defaults, so this configuration is optional.\ntype RepositoryConfig struct {\n\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n\t// Default: 1MB (1024 * 1024 bytes)\n\tCacheSize int\n\n\t// MaxOpenConnections is the maximum number of open database connections.\n\t// Default: 4\n\tMaxOpenConnections int\n\n\t// MaxIdleConnections is the maximum number of idle database connections.\n\t// Default: 4\n\tMaxIdleConnections int\n\n\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n\t// Default: 1 hour\n\tConnectionMaxLifetime time.Duration\n\n\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n\t// Default: 10 minutes\n\tConnectionMaxIdleTime time.Duration\n\n\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n\t// considered in \"running jobs\" queries. This filters out very short jobs.\n\t// Default: 600 seconds (10 minutes)\n\tMinRunningJobDuration int\n\n\t// DbCacheSizeMB is the SQLite page cache size per connection in MB.\n\t// Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n\t// and DbCacheSizeMB=2048, total page cache is up to 8GB.\n\t// Default: 2048 (2GB)\n\tDbCacheSizeMB int\n\n\t// DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n\t// SQLite will try to release cache pages to stay under this limit.\n\t// It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n\t// Default: 16384 (16GB)\n\tDbSoftHeapLimitMB int\n}\n\n// DefaultConfig returns the default repository configuration.\n// These values are optimized for typical deployments.\nfunc DefaultConfig() *RepositoryConfig {\n\treturn &RepositoryConfig{\n\t\tCacheSize:             1 * 1024 * 1024, // 1MB\n\t\tMaxOpenConnections:    4,\n\t\tMaxIdleConnections:    4,\n\t\tConnectionMaxLifetime: time.Hour,\n\t\tConnectionMaxIdleTime: 10 * time.Minute,\n\t\tMinRunningJobDuration: 600, // 10 minutes\n\t\tDbCacheSizeMB:        2048,  // 2GB per connection\n\t\tDbSoftHeapLimitMB:    16384, // 16GB process-wide\n\t}\n}\n\n// repoConfig is the package-level configuration instance.\n// It is initialized with defaults and can be overridden via SetConfig.\nvar repoConfig *RepositoryConfig = DefaultConfig()\n\n// SetConfig sets the repository configuration.\n// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n// If not called, default values from DefaultConfig() are used.\nfunc SetConfig(cfg *RepositoryConfig) {\n\tif cfg != nil {\n\t\trepoConfig = cfg\n\t}\n}\n\n// GetConfig returns the current repository configuration.\nfunc GetConfig() *RepositoryConfig {\n\treturn repoConfig\n}\n","structuredPatch":[{"oldStart":46,"oldLines":6,"newStart":46,"newLines":12,"lines":["   // It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.","   // Default: 16384 (16GB)","   DbSoftHeapLimitMB int","+","+  // BusyTimeoutMs is the SQLite busy_timeout in milliseconds.","+  // When a write is blocked by another writer, SQLite retries internally","+  // using a backoff mechanism for up to this duration before returning SQLITE_BUSY.","+  // Default: 60000 (60 seconds)","+  BusyTimeoutMs int"," }"," "," // DefaultConfig returns the default repository configuration."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"7f4b63eb-7e62-4753-b51f-b435bf637b0c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"fmt\"\n\t\"net/url\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"github.com/mattn/go-sqlite3\"\n\t\"github.com/qustavo/sqlhooks/v2\"\n)\n\nvar (\n\tdbConnOnce     sync.Once\n\tdbConnInstance *DBConnection\n)\n\ntype DBConnection struct {\n\tDB     *sqlx.DB\n\tDriver string\n}\n\ntype DatabaseOptions struct {\n\tURL                   string\n\tMaxOpenConnections    int\n\tMaxIdleConnections    int\n\tConnectionMaxLifetime time.Duration\n\tConnectionMaxIdleTime time.Duration\n}\n\nfunc setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t\tfmt.Sprintf(\"soft_heap_limit = %d\", int64(cfg.DbSoftHeapLimitMB)*1024*1024),\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc Connect(db string) {\n\tvar err error\n\tvar dbHandle *sqlx.DB\n\n\tdbConnOnce.Do(func() {\n\t\topts := DatabaseOptions{\n\t\t\tURL:                   db,\n\t\t\tMaxOpenConnections:    repoConfig.MaxOpenConnections,\n\t\t\tMaxIdleConnections:    repoConfig.MaxIdleConnections,\n\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n\t\t}\n\n\t\t// TODO: Have separate DB handles for Writes and Reads\n\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n\t\tconnectionURLParams := make(url.Values)\n\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n\t\tcacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\n\t\tconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))\n\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n\n\t\tif cclog.Loglevel() == \"debug\" {\n\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n\t\t} else {\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n\t\t}\n\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\terr = setupSqlite(dbHandle.DB, repoConfig)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tcclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n\t\t\trepoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n\n\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n\t\terr = checkDBVersion(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n\t\t}\n\t})\n}\n\nfunc GetConnection() *DBConnection {\n\tif dbConnInstance == nil {\n\t\tcclog.Fatalf(\"Database connection not initialized!\")\n\t}\n\n\treturn dbConnInstance\n}\n\n// ResetConnection closes the current database connection and resets the connection state.\n// This function is intended for testing purposes only to allow test isolation.\nfunc ResetConnection() error {\n\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n\t\tif err := dbConnInstance.DB.Close(); err != nil {\n\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n\t\t}\n\t}\n\n\tdbConnInstance = nil\n\tdbConnOnce = sync.Once{}\n\tjobRepoInstance = nil\n\tjobRepoOnce = sync.Once{}\n\tnodeRepoInstance = nil\n\tnodeRepoOnce = sync.Once{}\n\tuserRepoInstance = nil\n\tuserRepoOnce = sync.Once{}\n\tuserCfgRepoInstance = nil\n\tuserCfgRepoOnce = sync.Once{}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":70,"oldLines":7,"newStart":70,"newLines":7,"lines":["     connectionURLParams := make(url.Values)","     connectionURLParams.Add(\"_txlock\", \"immediate\")","     connectionURLParams.Add(\"_journal_mode\", \"WAL\")","-    connectionURLParams.Add(\"_busy_timeout\", \"5000\")","+    connectionURLParams.Add(\"_busy_timeout\", fmt.Sprintf(\"%d\", repoConfig.BusyTimeoutMs))","     connectionURLParams.Add(\"_synchronous\", \"NORMAL\")","     cacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB","     connectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"61721dc8-d1c5-4347-931f-d7051b5cc537","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage archive\n\nimport (\n\t\"bytes\"\n\t\"compress/gzip\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"slices\"\n\t\"strconv\"\n\t\"sync\"\n\t\"text/tabwriter\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t_ \"github.com/mattn/go-sqlite3\"\n)\n\n// SqliteArchiveConfig holds the configuration for the SQLite archive backend.\ntype SqliteArchiveConfig struct {\n\tDBPath string `json:\"db-path\"` // Path to SQLite database file\n}\n\n// SqliteArchive implements ArchiveBackend using a SQLite database with BLOB storage.\n// Job metadata and data are stored as JSON BLOBs with indexes for fast queries.\n//\n// Uses WAL (Write-Ahead Logging) mode for better concurrency and a 64MB cache.\ntype SqliteArchive struct {\n\tdb       *sql.DB  // SQLite database connection\n\tclusters []string // List of discovered cluster names\n}\n\n// sqliteSchema defines the database schema for SQLite archive backend.\n// Jobs table: stores job metadata and data as BLOBs with compression flag\n// Clusters table: stores cluster configurations\n// Metadata table: stores version and other key-value pairs\nconst sqliteSchema = `\nCREATE TABLE IF NOT EXISTS jobs (\n    id INTEGER PRIMARY KEY AUTOINCREMENT,\n    job_id INTEGER NOT NULL,\n    cluster TEXT NOT NULL,\n    start_time INTEGER NOT NULL,\n    meta_json BLOB NOT NULL,\n    data_json BLOB,\n    data_compressed BOOLEAN DEFAULT 0,\n    created_at INTEGER NOT NULL,\n    updated_at INTEGER NOT NULL,\n    UNIQUE(job_id, cluster, start_time)\n);\n\nCREATE INDEX IF NOT EXISTS idx_jobs_cluster ON jobs(cluster);\nCREATE INDEX IF NOT EXISTS idx_jobs_start_time ON jobs(start_time);\nCREATE INDEX IF NOT EXISTS idx_jobs_order ON jobs(cluster, start_time);\nCREATE INDEX IF NOT EXISTS idx_jobs_lookup ON jobs(cluster, job_id, start_time);\n\nCREATE TABLE IF NOT EXISTS clusters (\n    name TEXT PRIMARY KEY,\n    config_json BLOB NOT NULL,\n    updated_at INTEGER NOT NULL\n);\n\nCREATE TABLE IF NOT EXISTS metadata (\n    key TEXT PRIMARY KEY,\n    value TEXT NOT NULL\n);\n`\n\nfunc (sa *SqliteArchive) Init(rawConfig json.RawMessage) (uint64, error) {\n\tvar cfg SqliteArchiveConfig\n\tif err := json.Unmarshal(rawConfig, &cfg); err != nil {\n\t\tcclog.Warnf(\"SqliteArchive Init() > Unmarshal error: %#v\", err)\n\t\treturn 0, err\n\t}\n\n\tif cfg.DBPath == \"\" {\n\t\terr := fmt.Errorf(\"SqliteArchive Init(): empty database path\")\n\t\tcclog.Errorf(\"SqliteArchive Init() > config error: %v\", err)\n\t\treturn 0, err\n\t}\n\n\t// Open SQLite database\n\tdb, err := sql.Open(\"sqlite3\", cfg.DBPath)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to open database: %v\", err)\n\t\treturn 0, err\n\t}\n\tsa.db = db\n\n\t// Set pragmas for better performance\n\tpragmas := []string{\n\t\t\"PRAGMA journal_mode=WAL\",\n\t\t\"PRAGMA synchronous=NORMAL\",\n\t\t\"PRAGMA cache_size=-64000\", // 64MB cache\n\t\t\"PRAGMA busy_timeout=5000\",\n\t}\n\tfor _, pragma := range pragmas {\n\t\tif _, err := sa.db.Exec(pragma); err != nil {\n\t\t\tcclog.Warnf(\"SqliteArchive Init() > pragma failed: %v\", err)\n\t\t}\n\t}\n\n\t// Create schema\n\tif _, err := sa.db.Exec(sqliteSchema); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > schema creation failed: %v\", err)\n\t\treturn 0, err\n\t}\n\n\t// Check/set version\n\tvar versionStr string\n\terr = sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'version'\").Scan(&versionStr)\n\tif err == sql.ErrNoRows {\n\t\t// First time initialization, set version\n\t\t_, err = sa.db.Exec(\"INSERT INTO metadata (key, value) VALUES ('version', ?)\", fmt.Sprintf(\"%d\", Version))\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to set version: %v\", err)\n\t\t\treturn 0, err\n\t\t}\n\t\tversionStr = fmt.Sprintf(\"%d\", Version)\n\t} else if err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to read version: %v\", err)\n\t\treturn 0, err\n\t}\n\n\tversion, err := strconv.ParseUint(versionStr, 10, 64)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > version parse error: %v\", err)\n\t\treturn 0, err\n\t}\n\n\tif version != Version {\n\t\treturn version, fmt.Errorf(\"unsupported version %d, need %d\", version, Version)\n\t}\n\n\t// Discover clusters\n\tsa.clusters = []string{}\n\trows, err := sa.db.Query(\"SELECT DISTINCT cluster FROM jobs ORDER BY cluster\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to query clusters: %v\", err)\n\t\treturn 0, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar cluster string\n\t\tif err := rows.Scan(&cluster); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to scan cluster: %v\", err)\n\t\t\tcontinue\n\t\t}\n\t\tsa.clusters = append(sa.clusters, cluster)\n\t}\n\n\tcclog.Infof(\"SqliteArchive initialized with database '%s', found %d clusters\", cfg.DBPath, len(sa.clusters))\n\treturn version, nil\n}\n\nfunc (sa *SqliteArchive) Info() {\n\tfmt.Printf(\"SQLite Job archive database\\n\")\n\n\tci := make(map[string]*clusterInfo)\n\n\trows, err := sa.db.Query(`\n\t\tSELECT cluster, COUNT(*), MIN(start_time), MAX(start_time),\n\t\t       SUM(LENGTH(meta_json) + COALESCE(LENGTH(data_json), 0))\n\t\tFROM jobs\n\t\tGROUP BY cluster\n\t`)\n\tif err != nil {\n\t\tcclog.Fatalf(\"SqliteArchive Info() > query failed: %s\", err.Error())\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar cluster string\n\t\tvar numJobs int\n\t\tvar dateFirst, dateLast int64\n\t\tvar diskSize int64\n\n\t\tif err := rows.Scan(&cluster, &numJobs, &dateFirst, &dateLast, &diskSize); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Info() > scan failed: %v\", err)\n\t\t\tcontinue\n\t\t}\n\n\t\tci[cluster] = &clusterInfo{\n\t\t\tnumJobs:   numJobs,\n\t\t\tdateFirst: dateFirst,\n\t\t\tdateLast:  dateLast,\n\t\t\tdiskSize:  float64(diskSize) / (1024 * 1024), // Convert to MB\n\t\t}\n\t}\n\n\tcit := clusterInfo{dateFirst: time.Now().Unix()}\n\tw := tabwriter.NewWriter(os.Stdout, 0, 0, 2, ' ', tabwriter.Debug)\n\tfmt.Fprintln(w, \"cluster\\t#jobs\\tfrom\\tto\\tsize (MB)\")\n\tfor cluster, clusterInfo := range ci {\n\t\tfmt.Fprintf(w, \"%s\\t%d\\t%s\\t%s\\t%.2f\\n\", cluster,\n\t\t\tclusterInfo.numJobs,\n\t\t\ttime.Unix(clusterInfo.dateFirst, 0),\n\t\t\ttime.Unix(clusterInfo.dateLast, 0),\n\t\t\tclusterInfo.diskSize)\n\n\t\tcit.numJobs += clusterInfo.numJobs\n\t\tcit.dateFirst = util.Min(cit.dateFirst, clusterInfo.dateFirst)\n\t\tcit.dateLast = util.Max(cit.dateLast, clusterInfo.dateLast)\n\t\tcit.diskSize += clusterInfo.diskSize\n\t}\n\n\tfmt.Fprintf(w, \"TOTAL\\t%d\\t%s\\t%s\\t%.2f\\n\",\n\t\tcit.numJobs, time.Unix(cit.dateFirst, 0), time.Unix(cit.dateLast, 0), cit.diskSize)\n\tw.Flush()\n}\n\nfunc (sa *SqliteArchive) Exists(job *schema.Job) bool {\n\tvar count int\n\terr := sa.db.QueryRow(\"SELECT COUNT(*) FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&count)\n\treturn err == nil && count > 0\n}\n\nfunc (sa *SqliteArchive) LoadJobMeta(job *schema.Job) (*schema.Job, error) {\n\tvar metaBlob []byte\n\terr := sa.db.QueryRow(\"SELECT meta_json FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&metaBlob)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobMeta() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif config.Keys.Validate {\n\t\tif err := schema.Validate(schema.Meta, bytes.NewReader(metaBlob)); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"validate job meta: %v\", err)\n\t\t}\n\t}\n\n\treturn DecodeJobMeta(bytes.NewReader(metaBlob))\n}\n\nfunc (sa *SqliteArchive) LoadJobData(job *schema.Job) (schema.JobData, error) {\n\tvar dataBlob []byte\n\tvar compressed bool\n\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\n\tvar reader io.Reader = bytes.NewReader(dataBlob)\n\tif compressed {\n\t\tgzipReader, err := gzip.NewReader(reader)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > gzip error: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\tdefer gzipReader.Close()\n\t\treader = gzipReader\n\t}\n\n\tif config.Keys.Validate {\n\t\tdata, _ := io.ReadAll(reader)\n\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n\t\t\treturn schema.JobData{}, fmt.Errorf(\"validate job data: %v\", err)\n\t\t}\n\t\treturn DecodeJobData(bytes.NewReader(data), key)\n\t}\n\n\treturn DecodeJobData(reader, key)\n}\n\nfunc (sa *SqliteArchive) LoadJobStats(job *schema.Job) (schema.ScopedJobStats, error) {\n\tvar dataBlob []byte\n\tvar compressed bool\n\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\n\tvar reader io.Reader = bytes.NewReader(dataBlob)\n\tif compressed {\n\t\tgzipReader, err := gzip.NewReader(reader)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > gzip error: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\tdefer gzipReader.Close()\n\t\treader = gzipReader\n\t}\n\n\tif config.Keys.Validate {\n\t\tdata, _ := io.ReadAll(reader)\n\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"validate job data: %v\", err)\n\t\t}\n\t\treturn DecodeJobStats(bytes.NewReader(data), key)\n\t}\n\n\treturn DecodeJobStats(reader, key)\n}\n\nfunc (sa *SqliteArchive) LoadClusterCfg(name string) (*schema.Cluster, error) {\n\tvar configBlob []byte\n\terr := sa.db.QueryRow(\"SELECT config_json FROM clusters WHERE name = ?\", name).Scan(&configBlob)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadClusterCfg() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif config.Keys.Validate {\n\t\tif err := schema.Validate(schema.ClusterCfg, bytes.NewReader(configBlob)); err != nil {\n\t\t\tcclog.Warnf(\"Validate cluster config: %v\\n\", err)\n\t\t\treturn &schema.Cluster{}, fmt.Errorf(\"validate cluster config: %v\", err)\n\t\t}\n\t}\n\n\treturn DecodeCluster(bytes.NewReader(configBlob))\n}\n\nfunc (sa *SqliteArchive) StoreJobMeta(job *schema.Job) error {\n\tvar metaBuf bytes.Buffer\n\tif err := EncodeJobMeta(&metaBuf, job); err != nil {\n\t\tcclog.Error(\"SqliteArchive StoreJobMeta() > encoding error\")\n\t\treturn err\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, created_at, updated_at)\n\t\tVALUES (?, ?, ?, ?, ?, ?)\n\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n\t\t\tmeta_json = excluded.meta_json,\n\t\t\tupdated_at = excluded.updated_at\n\t`, job.JobID, job.Cluster, job.StartTime, metaBuf.Bytes(), now, now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive StoreJobMeta() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (sa *SqliteArchive) ImportJob(jobMeta *schema.Job, jobData *schema.JobData) error {\n\tvar metaBuf, dataBuf bytes.Buffer\n\tif err := EncodeJobMeta(&metaBuf, jobMeta); err != nil {\n\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding meta error\")\n\t\treturn err\n\t}\n\tif err := EncodeJobData(&dataBuf, jobData); err != nil {\n\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding data error\")\n\t\treturn err\n\t}\n\n\tvar dataBytes []byte\n\tvar compressed bool\n\n\tif dataBuf.Len() > 2000 {\n\t\tvar compressedBuf bytes.Buffer\n\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n\t\tif _, err := gzipWriter.Write(dataBuf.Bytes()); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip write error: %v\", err)\n\t\t\treturn err\n\t\t}\n\t\tif err := gzipWriter.Close(); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip close error: %v\", err)\n\t\t\treturn err\n\t\t}\n\t\tdataBytes = compressedBuf.Bytes()\n\t\tcompressed = true\n\t} else {\n\t\tdataBytes = dataBuf.Bytes()\n\t\tcompressed = false\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, data_json, data_compressed, created_at, updated_at)\n\t\tVALUES (?, ?, ?, ?, ?, ?, ?, ?)\n\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n\t\t\tmeta_json = excluded.meta_json,\n\t\t\tdata_json = excluded.data_json,\n\t\t\tdata_compressed = excluded.data_compressed,\n\t\t\tupdated_at = excluded.updated_at\n\t`, jobMeta.JobID, jobMeta.Cluster, jobMeta.StartTime, metaBuf.Bytes(), dataBytes, compressed, now, now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive ImportJob() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (sa *SqliteArchive) GetClusters() []string {\n\treturn sa.clusters\n}\n\nfunc (sa *SqliteArchive) CleanUp(jobs []*schema.Job) {\n\tstart := time.Now()\n\tcount := 0\n\n\ttx, err := sa.db.Begin()\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > transaction error: %v\", err)\n\t\treturn\n\t}\n\tdefer tx.Rollback()\n\n\tstmt, err := tx.Prepare(\"DELETE FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > prepare error: %v\", err)\n\t\treturn\n\t}\n\tdefer stmt.Close()\n\n\tfor _, job := range jobs {\n\t\tif job == nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() error: job is nil\")\n\t\t\tcontinue\n\t\t}\n\n\t\tif _, err := stmt.Exec(job.JobID, job.Cluster, job.StartTime); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() > delete error: %v\", err)\n\t\t} else {\n\t\t\tcount++\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > commit error: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Retention Service - Remove %d jobs from SQLite in %s\", count, time.Since(start))\n}\n\nfunc (sa *SqliteArchive) Move(jobs []*schema.Job, targetPath string) {\n\t// For SQLite, \"move\" means updating the cluster field or similar\n\t// This is interpretation-dependent; for now we'll just log\n\tcclog.Warnf(\"SqliteArchive Move() is not fully implemented - moves within database not applicable\")\n}\n\nfunc (sa *SqliteArchive) Clean(before int64, after int64) {\n\tif after == 0 {\n\t\tafter = math.MaxInt64\n\t}\n\n\tresult, err := sa.db.Exec(\"DELETE FROM jobs WHERE start_time < ? OR start_time > ?\", before, after)\n\tif err != nil {\n\t\tcclog.Fatalf(\"SqliteArchive Clean() > delete error: %s\", err.Error())\n\t}\n\n\trowsAffected, _ := result.RowsAffected()\n\tcclog.Infof(\"SqliteArchive Clean() removed %d jobs\", rowsAffected)\n}\n\nfunc (sa *SqliteArchive) Compress(jobs []*schema.Job) {\n\tvar cnt int\n\tstart := time.Now()\n\n\ttx, err := sa.db.Begin()\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > transaction error: %v\", err)\n\t\treturn\n\t}\n\tdefer tx.Rollback()\n\n\tstmt, err := tx.Prepare(\"UPDATE jobs SET data_json = ?, data_compressed = 1 WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > prepare error: %v\", err)\n\t\treturn\n\t}\n\tdefer stmt.Close()\n\n\tfor _, job := range jobs {\n\t\tvar dataBlob []byte\n\t\tvar compressed bool\n\t\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\t\tif err != nil || compressed || len(dataBlob) < 2000 {\n\t\t\tcontinue // Skip if error, already compressed, or too small\n\t\t}\n\n\t\t// Compress the data\n\t\tvar compressedBuf bytes.Buffer\n\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n\t\tif _, err := gzipWriter.Write(dataBlob); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Compress() > gzip error: %v\", err)\n\t\t\tgzipWriter.Close()\n\t\t\tcontinue\n\t\t}\n\t\tgzipWriter.Close()\n\n\t\tif _, err := stmt.Exec(compressedBuf.Bytes(), job.JobID, job.Cluster, job.StartTime); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Compress() > update error: %v\", err)\n\t\t} else {\n\t\t\tcnt++\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > commit error: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Compression Service - %d jobs in SQLite took %s\", cnt, time.Since(start))\n}\n\nfunc (sa *SqliteArchive) CompressLast(starttime int64) int64 {\n\tvar lastStr string\n\terr := sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'compress_last'\").Scan(&lastStr)\n\n\tvar last int64\n\tif err == sql.ErrNoRows {\n\t\tlast = starttime\n\t} else if err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CompressLast() > query error: %v\", err)\n\t\tlast = starttime\n\t} else {\n\t\tlast, err = strconv.ParseInt(lastStr, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CompressLast() > parse error: %v\", err)\n\t\t\tlast = starttime\n\t\t}\n\t}\n\n\tcclog.Infof(\"SqliteArchive CompressLast() - start %d last %d\", starttime, last)\n\n\t// Update timestamp\n\t_, err = sa.db.Exec(`\n\t\tINSERT INTO metadata (key, value) VALUES ('compress_last', ?)\n\t\tON CONFLICT(key) DO UPDATE SET value = excluded.value\n\t`, fmt.Sprintf(\"%d\", starttime))\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CompressLast() > update error: %v\", err)\n\t}\n\n\treturn last\n}\n\ntype sqliteJobRow struct {\n\tmetaBlob   []byte\n\tdataBlob   []byte\n\tcompressed bool\n}\n\nfunc (sa *SqliteArchive) Iter(loadMetricData bool) <-chan JobContainer {\n\tch := make(chan JobContainer)\n\n\tgo func() {\n\t\tdefer close(ch)\n\n\t\tconst chunkSize = 1000\n\t\toffset := 0\n\n\t\tvar query string\n\t\tif loadMetricData {\n\t\t\tquery = \"SELECT meta_json, data_json, data_compressed FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n\t\t} else {\n\t\t\tquery = \"SELECT meta_json FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n\t\t}\n\n\t\tnumWorkers := 4\n\t\tjobRows := make(chan sqliteJobRow, numWorkers*2)\n\t\tvar wg sync.WaitGroup\n\n\t\tfor range numWorkers {\n\t\t\twg.Go(func() {\n\t\t\t\tfor row := range jobRows {\n\t\t\t\t\tjob, err := DecodeJobMeta(bytes.NewReader(row.metaBlob))\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode meta error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\n\t\t\t\t\tif loadMetricData && row.dataBlob != nil {\n\t\t\t\t\t\tvar reader io.Reader = bytes.NewReader(row.dataBlob)\n\t\t\t\t\t\tif row.compressed {\n\t\t\t\t\t\t\tgzipReader, err := gzip.NewReader(reader)\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > gzip error: %v\", err)\n\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tdecompressed, err := io.ReadAll(gzipReader)\n\t\t\t\t\t\t\tgzipReader.Close()\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decompress error: %v\", err)\n\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\treader = bytes.NewReader(decompressed)\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\t\t\t\t\t\tjobData, err := DecodeJobData(reader, key)\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode data error: %v\", err)\n\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: &jobData}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else {\n\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\n\t\tfor {\n\t\t\trows, err := sa.db.Query(query, chunkSize, offset)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Fatalf(\"SqliteArchive Iter() > query error: %s\", err.Error())\n\t\t\t}\n\n\t\t\trowCount := 0\n\t\t\tfor rows.Next() {\n\t\t\t\tvar row sqliteJobRow\n\n\t\t\t\tif loadMetricData {\n\t\t\t\t\tif err := rows.Scan(&row.metaBlob, &row.dataBlob, &row.compressed); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif err := rows.Scan(&row.metaBlob); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\trow.dataBlob = nil\n\t\t\t\t\trow.compressed = false\n\t\t\t\t}\n\n\t\t\t\tjobRows <- row\n\t\t\t\trowCount++\n\t\t\t}\n\t\t\trows.Close()\n\n\t\t\tif rowCount < chunkSize {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\toffset += chunkSize\n\t\t}\n\n\t\tclose(jobRows)\n\t\twg.Wait()\n\t}()\n\n\treturn ch\n}\n\nfunc (sa *SqliteArchive) StoreClusterCfg(name string, config *schema.Cluster) error {\n\tvar configBuf bytes.Buffer\n\tif err := EncodeCluster(&configBuf, config); err != nil {\n\t\tcclog.Error(\"SqliteArchive StoreClusterCfg() > encoding error\")\n\t\treturn err\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO clusters (name, config_json, updated_at)\n\t\tVALUES (?, ?, ?)\n\t\tON CONFLICT(name) DO UPDATE SET\n\t\t\tconfig_json = excluded.config_json,\n\t\t\tupdated_at = excluded.updated_at\n\t`, name, configBuf.Bytes(), now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive StoreClusterCfg() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\t// Update clusters list if new\n\tfound := slices.Contains(sa.clusters, name)\n\tif !found {\n\t\tsa.clusters = append(sa.clusters, name)\n\t}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":102,"oldLines":7,"newStart":102,"newLines":7,"lines":["     \"PRAGMA journal_mode=WAL\",","     \"PRAGMA synchronous=NORMAL\",","     \"PRAGMA cache_size=-64000\", // 64MB cache","-    \"PRAGMA busy_timeout=5000\",","+    \"PRAGMA busy_timeout=60000\",","   }","   for _, pragma := range pragmas {","     if _, err := sa.db.Exec(pragma); err != nil {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"94ecafb1-e6a3-48e2-bfe6-f8d44e7872e4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"bd80c015-d925-4dda-9ef4-c17de72e4519","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Si41CcYiGJS7htJyRZAWE9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NqcSrvVk89yR55JTjfVyqJ","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go","old_string":"func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {","new_string":"// AddUserIfNotExists inserts a user only if the username does not already exist.\n// Uses INSERT OR IGNORE to avoid UNIQUE constraint errors when a user is\n// concurrently created (e.g., by a login while LDAP sync is running).\n// Unlike AddUser, this intentionally skips the deprecated default metrics config insertion.\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := \"username, name, roles, projects, ldap\"\n\t_, err := r.DB.Exec(\n\t\t`INSERT OR IGNORE INTO hpc_user (`+cols+`) VALUES (?, ?, ?, ?, ?)`,\n\t\tuser.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n\treturn err\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1320,"cache_read_input_tokens":66713,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1320},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6afAUESQvCcpF23cbnH","type":"assistant","uuid":"d8c87700-46e1-4aed-bb74-9a129f330bca","timestamp":"2026-03-16T10:13:08.817Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d8c87700-46e1-4aed-bb74-9a129f330bca","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01NqcSrvVk89yR55JTjfVyqJ","toolUseID":"toolu_01NqcSrvVk89yR55JTjfVyqJ","timestamp":"2026-03-16T10:13:08.825Z","uuid":"313b3b15-2243-427f-9e46-746efe480339","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d8c87700-46e1-4aed-bb74-9a129f330bca","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NqcSrvVk89yR55JTjfVyqJ","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go has been updated successfully."}]},"uuid":"1dcd7d16-6392-4be2-b84d-063eef53646b","timestamp":"2026-03-16T10:13:08.825Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go","oldString":"func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {","newString":"// AddUserIfNotExists inserts a user only if the username does not already exist.\n// Uses INSERT OR IGNORE to avoid UNIQUE constraint errors when a user is\n// concurrently created (e.g., by a login while LDAP sync is running).\n// Unlike AddUser, this intentionally skips the deprecated default metrics config insertion.\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := \"username, name, roles, projects, ldap\"\n\t_, err := r.DB.Exec(\n\t\t`INSERT OR IGNORE INTO hpc_user (`+cols+`) VALUES (?, ?, ?, ?, ?)`,\n\t\tuser.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n\treturn err\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"reflect\"\n\t\"strings\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"golang.org/x/crypto/bcrypt\"\n)\n\n// Authentication and Role System:\n//\n// ClusterCockpit supports multiple authentication sources:\n//   - Local: Username/password stored in database (password hashed with bcrypt)\n//   - LDAP: External LDAP/Active Directory authentication\n//   - JWT: Token-based authentication for API access\n//\n// Role Hierarchy (from highest to lowest privilege):\n//   1. \"admin\" - Full system access, can manage all users and jobs\n//   2. \"support\" - Can view all jobs but limited management capabilities\n//   3. \"manager\" - Can manage specific projects and their users\n//   4. \"api\" - Programmatic access for job submission/management\n//   5. \"user\" - Default role, can only view own jobs\n//\n// Project Association:\n//   - Managers have a list of projects they oversee\n//   - Regular users' project membership is determined by job data\n//   - Managers can view/manage all jobs within their projects\n\nvar (\n\tuserRepoOnce     sync.Once\n\tuserRepoInstance *UserRepository\n)\n\ntype UserRepository struct {\n\tDB     *sqlx.DB\n\tdriver string\n}\n\nfunc GetUserRepository() *UserRepository {\n\tuserRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tuserRepoInstance = &UserRepository{\n\t\t\tDB:     db.DB,\n\t\t\tdriver: db.Driver,\n\t\t}\n\t})\n\treturn userRepoInstance\n}\n\n// GetUser retrieves a user by username from the database.\n// Returns the complete user record including hashed password, roles, and projects.\n// Password field contains bcrypt hash for local auth users, empty for LDAP users.\nfunc (r *UserRepository) GetUser(username string) (*schema.User, error) {\n\tuser := &schema.User{Username: username}\n\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Password = hashedPassword.String\n\tuser.Name = name.String\n\tuser.Email = email.String\n\tif rawRoles.Valid {\n\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\tif rawProjects.Valid {\n\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn user, nil\n}\n\nfunc (r *UserRepository) GetLdapUsernames() ([]string, error) {\n\tvar users []string\n\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying usernames\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar username string\n\t\tif err := rows.Scan(&username); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tusers = append(users, username)\n\t}\n\n\treturn users, nil\n}\n\n// AddUser creates a new user in the database.\n// Passwords are automatically hashed with bcrypt before storage.\n// Auth source determines authentication method (local, LDAP, etc.).\n//\n// Required fields: Username, Roles\n// Optional fields: Name, Email, Password, Projects, AuthSource\nfunc (r *UserRepository) AddUser(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := []string{\"username\", \"roles\", \"projects\"}\n\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n\n\tif user.Name != \"\" {\n\t\tcols = append(cols, \"name\")\n\t\tvals = append(vals, user.Name)\n\t}\n\tif user.Email != \"\" {\n\t\tcols = append(cols, \"email\")\n\t\tvals = append(vals, user.Email)\n\t}\n\tif user.Password != \"\" {\n\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"Error while encrypting new user password\")\n\t\t\treturn err\n\t\t}\n\t\tcols = append(cols, \"password\")\n\t\tvals = append(vals, string(password))\n\t}\n\tif user.AuthSource != -1 {\n\t\tcols = append(cols, \"ldap\")\n\t\tvals = append(vals, int(user.AuthSource))\n\t}\n\n\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n\t\treturn err\n\t}\n\n\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n\n\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n\t} else if defaultMetricsCfg != nil {\n\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n\t\t\tif _, err := sq.Insert(\"configuration\").\n\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n\t\t\t} else {\n\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n\t\t\t}\n\t\t}\n\t}\n\t// END DEPRECATION\n\n\treturn nil\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n\t// user contains updated info -> Apply to dbUser\n\t// --- Simple Name Update ---\n\tif dbUser.Name != user.Name {\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Def Helpers ---\n\t// Helper to update roles\n\tupdateRoles := func(roles []string) error {\n\t\trolesJSON, _ := json.Marshal(roles)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to update projects\n\tupdateProjects := func(projects []string) error {\n\t\tprojectsJSON, _ := json.Marshal(projects)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to clear projects\n\tclearProjects := func() error {\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// --- Manager Role Handling ---\n\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n\t\t// Existing Manager: update projects\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Manager: update roles and projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n\t\t// Remove Manager: update roles and clear projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := clearProjects(); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Support Role Handling ---\n\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t// Remove Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) DelUser(username string) error {\n\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted user '%s' from DB\", username)\n\treturn nil\n}\n\nfunc (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n\tif specialsOnly {\n\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n\t}\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying user list\")\n\t\treturn nil, err\n\t}\n\n\tusers := make([]*schema.User, 0)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\trawroles := \"\"\n\t\trawprojects := \"\"\n\t\tuser := &schema.User{}\n\t\tvar name, email sql.NullString\n\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning user list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tuser.Name = name.String\n\t\tuser.Email = email.String\n\t\tusers = append(users, user)\n\t}\n\treturn users, nil\n}\n\n// AddRole adds a role to a user's role list.\n// Role string is automatically lowercased.\n// Valid roles: admin, support, manager, api, user\n//\n// Returns error if:\n//   - User doesn't exist\n//   - Role is invalid\n//   - User already has the role\nfunc (r *UserRepository) AddRole(\n\tctx context.Context,\n\tusername string,\n\tqueryrole string,\n) error {\n\tnewRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(newRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n\t}\n\tif exists {\n\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n\t}\n\n\troles, _ := json.Marshal(append(user.Roles, newRole))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// RemoveRole removes a role from a user's role list.\n//\n// Special rules:\n//   - Cannot remove \"manager\" role while user has assigned projects\n//   - Must remove all projects first before removing manager role\nfunc (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n\toldRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(oldRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n\t}\n\tif !exists {\n\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n\t}\n\n\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n\t}\n\n\tvar newroles []string\n\tfor _, r := range user.Roles {\n\t\tif r != oldRole {\n\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n\t\t}\n\t}\n\n\tmroles, _ := json.Marshal(newroles)\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// AddProject assigns a project to a manager user.\n// Only users with the \"manager\" role can have assigned projects.\n//\n// Returns error if:\n//   - User doesn't have manager role\n//   - User already manages the project\nfunc (r *UserRepository) AddProject(\n\tctx context.Context,\n\tusername string,\n\tproject string,\n) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n\t}\n\n\tif user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n\t}\n\n\tprojects, _ := json.Marshal(append(user.Projects, project))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n\t}\n\n\tif !user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n\t}\n\n\tvar exists bool\n\tvar newprojects []string\n\tfor _, p := range user.Projects {\n\t\tif p != project {\n\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n\t\t} else {\n\t\t\texists = true\n\t\t}\n\t}\n\n\tif exists {\n\t\tvar result any\n\t\tif len(newprojects) == 0 {\n\t\t\tresult = \"[]\"\n\t\t} else {\n\t\t\tresult, _ = json.Marshal(newprojects)\n\t\t}\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\t\treturn err\n\t\t}\n\t\treturn nil\n\t} else {\n\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n\t}\n}\n\ntype ContextKey string\n\nconst ContextUserKey ContextKey = \"user\"\n\nfunc GetUserFromContext(ctx context.Context) *schema.User {\n\tx := ctx.Value(ContextUserKey)\n\tif x == nil {\n\t\tcclog.Warnf(\"no user retrieved from context\")\n\t\treturn nil\n\t}\n\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n\treturn x.(*schema.User)\n}\n\nfunc (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n\tme := GetUserFromContext(ctx)\n\tif me != nil && me.Username != username &&\n\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"forbidden\")\n\t}\n\n\tuser := &model.User{Username: username}\n\tvar name, email sql.NullString\n\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n\t\t\treturn nil, nil\n\t\t}\n\n\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Name = name.String\n\tuser.Email = email.String\n\treturn user, nil\n}\n","structuredPatch":[{"oldStart":188,"oldLines":6,"newStart":188,"newLines":21,"lines":["   return nil"," }"," ","+// AddUserIfNotExists inserts a user only if the username does not already exist.","+// Uses INSERT OR IGNORE to avoid UNIQUE constraint errors when a user is","+// concurrently created (e.g., by a login while LDAP sync is running).","+// Unlike AddUser, this intentionally skips the deprecated default metrics config insertion.","+func (r *UserRepository) AddUserIfNotExists(user *schema.User) error {","+  rolesJson, _ := json.Marshal(user.Roles)","+  projectsJson, _ := json.Marshal(user.Projects)","+","+  cols := \"username, name, roles, projects, ldap\"","+  _, err := r.DB.Exec(","+    `INSERT OR IGNORE INTO hpc_user (`+cols+`) VALUES (?, ?, ?, ?, ?)`,","+    user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))","+  return err","+}","+"," func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {","   // user contains updated info -> Apply to dbUser","   // --- Simple Name Update ---"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"d8c87700-46e1-4aed-bb74-9a129f330bca","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage auth\n\nimport (\n\t\"fmt\"\n\t\"net\"\n\t\"net/http\"\n\t\"os\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/go-ldap/ldap/v3\"\n)\n\ntype LdapConfig struct {\n\tURL             string `json:\"url\"`\n\tUserBase        string `json:\"user-base\"`\n\tSearchDN        string `json:\"search-dn\"`\n\tUserBind        string `json:\"user-bind\"`\n\tUserFilter      string `json:\"user-filter\"`\n\tUserAttr        string `json:\"username-attr\"`\n\tUIDAttr         string `json:\"uid-attr\"`\n\tSyncInterval    string `json:\"sync-interval\"` // Parsed using time.ParseDuration.\n\tSyncDelOldUsers bool   `json:\"sync-del-old-users\"`\n\n\t// Should a non-existent user be added to the DB if user exists in ldap directory\n\tSyncUserOnLogin   bool `json:\"sync-user-on-login\"`\n\tUpdateUserOnLogin bool `json:\"update-user-on-login\"`\n}\n\ntype LdapAuthenticator struct {\n\tsyncPassword string\n\tUserAttr     string\n\tUIDAttr      string\n}\n\nvar _ Authenticator = (*LdapAuthenticator)(nil)\n\nfunc (la *LdapAuthenticator) Init() error {\n\tla.syncPassword = os.Getenv(\"LDAP_ADMIN_PASSWORD\")\n\tif la.syncPassword == \"\" {\n\t\tcclog.Warn(\"environment variable 'LDAP_ADMIN_PASSWORD' not set (ldap sync will not work)\")\n\t}\n\n\tif Keys.LdapConfig.UserAttr != \"\" {\n\t\tla.UserAttr = Keys.LdapConfig.UserAttr\n\t} else {\n\t\tla.UserAttr = \"gecos\"\n\t}\n\n\tif Keys.LdapConfig.UIDAttr != \"\" {\n\t\tla.UIDAttr = Keys.LdapConfig.UIDAttr\n\t} else {\n\t\tla.UIDAttr = \"uid\"\n\t}\n\n\treturn nil\n}\n\nfunc (la *LdapAuthenticator) CanLogin(\n\tuser *schema.User,\n\tusername string,\n\trw http.ResponseWriter,\n\tr *http.Request,\n) (*schema.User, bool) {\n\tlc := Keys.LdapConfig\n\n\tif user != nil {\n\t\tif user.AuthSource == schema.AuthViaLDAP {\n\t\t\treturn user, true\n\t\t}\n\t} else if lc.SyncUserOnLogin {\n\t\tl, err := la.getLdapConnection(true)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"LDAP connection error\")\n\t\t\treturn nil, false\n\t\t}\n\t\tdefer l.Close()\n\n\t\t// Search for the given username\n\t\tsearchRequest := ldap.NewSearchRequest(\n\t\t\tlc.UserBase,\n\t\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n\t\t\tfmt.Sprintf(\"(&%s(%s=%s))\", lc.UserFilter, la.UIDAttr, ldap.EscapeFilter(username)),\n\t\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil)\n\n\t\tsr, err := l.Search(searchRequest)\n\t\tif err != nil {\n\t\t\tcclog.Warn(err)\n\t\t\treturn nil, false\n\t\t}\n\n\t\tif len(sr.Entries) != 1 {\n\t\t\tcclog.Warn(\"LDAP: User does not exist or too many entries returned\")\n\t\t\treturn nil, false\n\t\t}\n\n\t\tentry := sr.Entries[0]\n\t\tuser = &schema.User{\n\t\t\tUsername:   username,\n\t\t\tName:       entry.GetAttributeValue(la.UserAttr),\n\t\t\tRoles:      []string{schema.GetRoleString(schema.RoleUser)},\n\t\t\tProjects:   make([]string, 0),\n\t\t\tAuthType:   schema.AuthSession,\n\t\t\tAuthSource: schema.AuthViaLDAP,\n\t\t}\n\n\t\thandleLdapUser(user)\n\t\treturn user, true\n\t}\n\n\treturn nil, false\n}\n\nfunc (la *LdapAuthenticator) Login(\n\tuser *schema.User,\n\trw http.ResponseWriter,\n\tr *http.Request,\n) (*schema.User, error) {\n\tl, err := la.getLdapConnection(false)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting ldap connection\")\n\t\treturn nil, err\n\t}\n\tdefer l.Close()\n\n\tuserDn := strings.ReplaceAll(Keys.LdapConfig.UserBind, \"{username}\", ldap.EscapeDN(user.Username))\n\tif err := l.Bind(userDn, r.FormValue(\"password\")); err != nil {\n\t\tcclog.Errorf(\"AUTH/LDAP > Authentication for user %s failed: %v\",\n\t\t\tuser.Username, err)\n\t\treturn nil, fmt.Errorf(\"Authentication failed\")\n\t}\n\n\treturn user, nil\n}\n\nfunc (la *LdapAuthenticator) Sync() error {\n\tconst InDB int = 1\n\tconst InLdap int = 2\n\tconst InBoth int = 3\n\tur := repository.GetUserRepository()\n\tlc := Keys.LdapConfig\n\n\tusers := map[string]int{}\n\tusernames, err := ur.GetLdapUsernames()\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tfor _, username := range usernames {\n\t\tusers[username] = InDB\n\t}\n\n\tl, err := la.getLdapConnection(true)\n\tif err != nil {\n\t\tcclog.Error(\"LDAP connection error\")\n\t\treturn err\n\t}\n\tdefer l.Close()\n\n\tldapResults, err := l.Search(ldap.NewSearchRequest(\n\t\tlc.UserBase,\n\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n\t\tlc.UserFilter,\n\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil))\n\tif err != nil {\n\t\tcclog.Warn(\"LDAP search error\")\n\t\treturn err\n\t}\n\n\tnewnames := map[string]string{}\n\tfor _, entry := range ldapResults.Entries {\n\t\tusername := entry.GetAttributeValue(la.UIDAttr)\n\t\tif username == \"\" {\n\t\t\treturn fmt.Errorf(\"no attribute '%s'\", la.UIDAttr)\n\t\t}\n\n\t\t_, ok := users[username]\n\t\tif !ok {\n\t\t\tusers[username] = InLdap\n\t\t\tnewnames[username] = entry.GetAttributeValue(la.UserAttr)\n\t\t} else {\n\t\t\tusers[username] = InBoth\n\t\t}\n\t}\n\n\tfor username, where := range users {\n\t\tif where == InDB && lc.SyncDelOldUsers {\n\t\t\tif err := ur.DelUser(username); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Delete from DB failed: %v\", username, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tcclog.Debugf(\"sync: remove %v (does not show up in LDAP anymore)\", username)\n\t\t} else if where == InLdap {\n\t\t\tname := newnames[username]\n\n\t\t\tuser := &schema.User{\n\t\t\t\tUsername:   username,\n\t\t\t\tName:       name,\n\t\t\t\tRoles:      []string{schema.GetRoleString(schema.RoleUser)},\n\t\t\t\tProjects:   make([]string, 0),\n\t\t\t\tAuthSource: schema.AuthViaLDAP,\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)\n\t\t\tif err := ur.AddUser(user); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (la *LdapAuthenticator) getLdapConnection(admin bool) (*ldap.Conn, error) {\n\tlc := Keys.LdapConfig\n\tconn, err := ldap.DialURL(lc.URL,\n\t\tldap.DialWithDialer(&net.Dialer{Timeout: 10 * time.Second}))\n\tif err != nil {\n\t\tcclog.Warn(\"LDAP URL dial failed\")\n\t\treturn nil, err\n\t}\n\tconn.SetTimeout(30 * time.Second)\n\n\tif admin {\n\t\tif err := conn.Bind(lc.SearchDN, la.syncPassword); err != nil {\n\t\t\tconn.Close()\n\t\t\tcclog.Warn(\"LDAP connection bind failed\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn conn, nil\n}\n","structuredPatch":[{"oldStart":210,"oldLines":7,"newStart":210,"newLines":7,"lines":["       }"," ","       cclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)","-      if err := ur.AddUser(user); err != nil {","+      if err := ur.AddUserIfNotExists(user); err != nil {","         cclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)","         return err","       }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"3c5446a0-7ebb-4e4d-a628-43081fdf6210","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"7956bad8-245f-4be0-b117-98737a7e1662","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SpSpXZdAKM2U8sZBhacLFJ","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go has been updated successfully."}]},"uuid":"3ffb462b-6cfb-46e9-ae85-f08a006b0ead","timestamp":"2026-03-16T10:13:26.419Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go","oldString":"// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {","newString":"// NodeStateUpdate holds the data needed to update one node's state in a batch operation.\ntype NodeStateUpdate struct {\n\tHostname  string\n\tCluster   string\n\tNodeState *schema.NodeStateDB\n}\n\n// BatchUpdateNodeStates inserts node state rows for multiple nodes in a single transaction.\n// For each node, it looks up (or creates) the node row, then inserts the state row.\n// This reduces lock acquisitions from 2*N to 1 for N nodes.\nfunc (r *NodeRepository) BatchUpdateNodeStates(updates []NodeStateUpdate) error {\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: begin transaction: %w\", err)\n\t}\n\tdefer tx.Rollback()\n\n\tstmtLookup, err := tx.Preparex(\"SELECT id FROM node WHERE hostname = ? AND cluster = ?\")\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare lookup: %w\", err)\n\t}\n\tdefer stmtLookup.Close()\n\n\tstmtInsertNode, err := tx.PrepareNamed(NamedNodeInsert)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare node insert: %w\", err)\n\t}\n\tdefer stmtInsertNode.Close()\n\n\tstmtInsertState, err := tx.PrepareNamed(NamedNodeStateInsert)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare state insert: %w\", err)\n\t}\n\tdefer stmtInsertState.Close()\n\n\tfor _, u := range updates {\n\t\tvar id int64\n\t\tif err := stmtLookup.QueryRow(u.Hostname, u.Cluster).Scan(&id); err != nil {\n\t\t\tif err == sql.ErrNoRows {\n\t\t\t\tsubcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)\n\t\t\t\tif scErr != nil {\n\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: subcluster lookup for '%s' in '%s': %v\", u.Hostname, u.Cluster, scErr)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tnode := schema.NodeDB{\n\t\t\t\t\tHostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,\n\t\t\t\t}\n\t\t\t\tres, insertErr := stmtInsertNode.Exec(&node)\n\t\t\t\tif insertErr != nil {\n\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tid, _ = res.LastInsertId()\n\t\t\t} else {\n\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: lookup node '%s': %v\", u.Hostname, err)\n\t\t\t\tcontinue\n\t\t\t}\n\t\t}\n\n\t\tu.NodeState.NodeID = id\n\t\tif _, err := stmtInsertState.Exec(u.NodeState); err != nil {\n\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert state for '%s': %v\", u.Hostname, err)\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: commit: %w\", err)\n\t}\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sort\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\tnodeRepoOnce     sync.Once\n\tnodeRepoInstance *NodeRepository\n)\n\ntype NodeRepository struct {\n\tDB        *sqlx.DB\n\tstmtCache *sq.StmtCache\n\tcache     *lrucache.Cache\n\tdriver    string\n}\n\nfunc GetNodeRepository() *NodeRepository {\n\tnodeRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tnodeRepoInstance = &NodeRepository{\n\t\t\tDB:     db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache:     lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn nodeRepoInstance\n}\n\n// latestStateCondition returns a squirrel expression that restricts node_state\n// rows to the latest per node_id using a correlated subquery.\n// Requires the query to join node and node_state tables.\nfunc latestStateCondition() sq.Sqlizer {\n\treturn sq.Expr(\n\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n\t)\n}\n\n// applyNodeFilters applies common NodeFilter conditions to a query that joins\n// the node and node_state tables with latestStateCondition.\nfunc applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\treturn query\n}\n\nfunc (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n\tstart := time.Now()\n\n\tRawMetaData := make([]byte, 0)\n\n\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n\t\tcclog.Warn(\"Error while scanning for node metadata\")\n\t\treturn nil, err\n\t}\n\n\tif len(RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tMetaData := make(map[string]string)\n\n\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn MetaData, nil\n}\n\nfunc (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tvar err error\n\t\tvar meta map[string]string\n\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n\t\t\treturn nil, err\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\nfunc (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.id = ?\", id).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n\t\tif metaErr != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n\t\t\treturn nil, metaErr\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\n// const NamedNodeInsert string = `\n// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n//\n//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n\nconst NamedNodeInsert string = `\nINSERT INTO node (hostname, cluster, subcluster)\n\tVALUES (:hostname, :cluster, :subcluster);`\n\n// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n// from a nodestate update from the job scheduler.\nfunc (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n\tvar err error\n\n\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\tnode.ID, err = res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\n\treturn node.ID, nil\n}\n\nconst NamedNodeStateInsert string = `\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n\n// TODO: Add real Monitoring Health State\n\n// UpdateNodeState is called from the Node REST API to add a row in the node state table\nfunc (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n\tvar id int64\n\n\tif err := sq.Select(\"id\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n\t\tQueryRow().Scan(&id); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tnode := schema.NodeDB{\n\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n\t\t\t}\n\t\t\tid, err = r.AddNode(&node)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n\t\t\treturn err\n\t\t}\n\t}\n\n\tnodeState.NodeID = id\n\n\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n\t\treturn err\n\t}\n\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n// \t\treturn err\n// \t}\n//\n// \treturn nil\n// }\n\n// NodeStateWithNode combines a node state row with denormalized node info.\ntype NodeStateWithNode struct {\n\tID              int64  `db:\"id\"`\n\tTimeStamp       int64  `db:\"time_stamp\"`\n\tNodeState       string `db:\"node_state\"`\n\tHealthState     string `db:\"health_state\"`\n\tHealthMetrics   string `db:\"health_metrics\"`\n\tCpusAllocated   int    `db:\"cpus_allocated\"`\n\tMemoryAllocated int64  `db:\"memory_allocated\"`\n\tGpusAllocated   int    `db:\"gpus_allocated\"`\n\tJobsRunning     int    `db:\"jobs_running\"`\n\tHostname        string `db:\"hostname\"`\n\tCluster         string `db:\"cluster\"`\n\tSubCluster      string `db:\"subcluster\"`\n}\n\n// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n// joined with node info for denormalized archiving.\nfunc (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n\trows, err := sq.Select(\n\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t).\n\t\tFrom(\"node_state\").\n\t\tJoin(\"node ON node_state.node_id = node.id\").\n\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n\t\tRunWith(r.DB).Query()\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tvar result []NodeStateWithNode\n\tfor rows.Next() {\n\t\tvar ns NodeStateWithNode\n\t\tvar healthMetrics sql.NullString\n\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n\t\t\t&ns.HealthState, &healthMetrics,\n\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tns.HealthMetrics = healthMetrics.String\n\t\tresult = append(result, ns)\n\t}\n\treturn result, nil\n}\n\n// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n// but always preserves the row with the latest timestamp per node_id.\nfunc (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t`DELETE FROM node_state WHERE time_stamp < ?\n\t\t AND id NOT IN (\n\t\t   SELECT id FROM node_state ns2\n\t\t   WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n\t\t )`,\n\t\tcutoff,\n\t)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn res.RowsAffected()\n}\n\nfunc (r *NodeRepository) DeleteNode(id int64) error {\n\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted node '%d' from DB\", id)\n\treturn nil\n}\n\n// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.\nfunc (r *NodeRepository) CountNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n) (int, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column, \"COUNT(*) as count\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()).\n\t\t\tGroupBy(column))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, &timestamp, &count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,\n\tpage *model.PageRequest,\n) ([]string, map[string]string, int, bool, error) {\n\t// Init Return Vars\n\tnodes := make([]string, 0)\n\tstateMap := make(map[string]string)\n\tcountNodes := 0\n\thasNextPage := false\n\n\t// Build Filters\n\tqueryFilters := make([]*model.NodeFilter, 0)\n\tif cluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n\t}\n\tif subCluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n\t}\n\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n\t}\n\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n\t\tqueryState := schema.SchedulerState(stateFilter)\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n\t}\n\t// if healthFilter != \"all\" {\n\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n\t// }\n\n\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n\tvar backupItems int\n\tif stateFilter == \"notindb\" {\n\t\tbackupItems = page.ItemsPerPage\n\t\tpage.ItemsPerPage = -1\n\t}\n\n\t// Query Nodes From DB\n\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n\tif serr != nil {\n\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n\t\treturn nil, nil, 0, false, serr\n\t}\n\n\t// Intermediate Node Result Info\n\tfor _, node := range rawNodes {\n\t\tif node == nil {\n\t\t\tcontinue\n\t\t}\n\t\tnodes = append(nodes, node.Hostname)\n\t\tstateMap[node.Hostname] = string(node.NodeState)\n\t}\n\n\t// Special Case: Find Nodes not in DB node table but in metricStore only\n\tif stateFilter == \"notindb\" {\n\t\t// Reapply Original Paging\n\t\tpage.ItemsPerPage = backupItems\n\t\t// Get Nodes From Topology\n\t\tvar topoNodes []string\n\t\tif subCluster != \"\" {\n\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\t\ttopoNodes = scNodes.PrintList()\n\t\t} else {\n\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n\t\t\t}\n\t\t}\n\t\t// Compare to all nodes from cluster/subcluster in DB\n\t\tvar missingNodes []string\n\t\tfor _, scanNode := range topoNodes {\n\t\t\tif !slices.Contains(nodes, scanNode) {\n\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n\t\t\t}\n\t\t}\n\t\t// Filter nodes by name\n\t\tif nodeFilter != \"\" {\n\t\t\tfilteredNodesByName := []string{}\n\t\t\tfor _, missingNode := range missingNodes {\n\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n\t\t\t\t}\n\t\t\t}\n\t\t\tmissingNodes = filteredNodesByName\n\t\t}\n\t\t// Sort Missing Nodes Alphanumerically\n\t\tslices.Sort(missingNodes)\n\t\t// Total Missing\n\t\tcountNodes = len(missingNodes)\n\t\t// Apply paging\n\t\tif countNodes > page.ItemsPerPage {\n\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\t\tend := start + page.ItemsPerPage\n\t\t\tif end > countNodes {\n\t\t\t\tend = countNodes\n\t\t\t\thasNextPage = false\n\t\t\t} else {\n\t\t\t\thasNextPage = true\n\t\t\t}\n\t\t\tnodes = missingNodes[start:end]\n\t\t} else {\n\t\t\tnodes = missingNodes\n\t\t}\n\n\t} else {\n\t\t// DB Nodes: Count and derive hasNextPage from count\n\t\tvar cerr error\n\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n\t\tif cerr != nil {\n\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n\t\t\treturn nil, nil, 0, false, cerr\n\t\t}\n\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n\t}\n\n\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n\tif stateFilter == \"all\" && countNodes == 0 {\n\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n\t}\n\n\treturn nodes, stateMap, countNodes, hasNextPage, nil\n}\n\nfunc AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn AccessCheckWithUser(user, query)\n}\n\nfunc AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n\t// \treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n\t\treturn query, nil\n\tdefault: // No known Role: No Access, return error\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\nfunc getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n\t// 0) Init additional vars\n\thasNextPage := false\n\ttotalNodes := 0\n\n\t// 1) Get list of all nodes\n\tvar topolNodes []string\n\tif subCluster != \"\" {\n\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\ttopolNodes = scNodes.PrintList()\n\t} else {\n\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n\t\t}\n\t}\n\n\t// 2) Filter nodes\n\tif nodeFilter != \"\" {\n\t\tfilteredNodes := []string{}\n\t\tfor _, node := range topolNodes {\n\t\t\tif strings.Contains(node, nodeFilter) {\n\t\t\t\tfilteredNodes = append(filteredNodes, node)\n\t\t\t}\n\t\t}\n\t\ttopolNodes = filteredNodes\n\t}\n\n\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n\ttotalNodes = len(topolNodes)\n\tsort.Strings(topolNodes)\n\n\t// 3) Apply paging\n\tif len(topolNodes) > page.ItemsPerPage {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tend := start + page.ItemsPerPage\n\t\tif end >= len(topolNodes) {\n\t\t\tend = len(topolNodes)\n\t\t\thasNextPage = false\n\t\t} else {\n\t\t\thasNextPage = true\n\t\t}\n\t\ttopolNodes = topolNodes[start:end]\n\t}\n\n\treturn topolNodes, totalNodes, hasNextPage\n}\n","structuredPatch":[{"oldStart":244,"oldLines":6,"newStart":244,"newLines":77,"lines":["   return nil"," }"," ","+// NodeStateUpdate holds the data needed to update one node's state in a batch operation.","+type NodeStateUpdate struct {","+  Hostname  string","+  Cluster   string","+  NodeState *schema.NodeStateDB","+}","+","+// BatchUpdateNodeStates inserts node state rows for multiple nodes in a single transaction.","+// For each node, it looks up (or creates) the node row, then inserts the state row.","+// This reduces lock acquisitions from 2*N to 1 for N nodes.","+func (r *NodeRepository) BatchUpdateNodeStates(updates []NodeStateUpdate) error {","+  tx, err := r.DB.Beginx()","+  if err != nil {","+    return fmt.Errorf(\"BatchUpdateNodeStates: begin transaction: %w\", err)","+  }","+  defer tx.Rollback()","+","+  stmtLookup, err := tx.Preparex(\"SELECT id FROM node WHERE hostname = ? AND cluster = ?\")","+  if err != nil {","+    return fmt.Errorf(\"BatchUpdateNodeStates: prepare lookup: %w\", err)","+  }","+  defer stmtLookup.Close()","+","+  stmtInsertNode, err := tx.PrepareNamed(NamedNodeInsert)","+  if err != nil {","+    return fmt.Errorf(\"BatchUpdateNodeStates: prepare node insert: %w\", err)","+  }","+  defer stmtInsertNode.Close()","+","+  stmtInsertState, err := tx.PrepareNamed(NamedNodeStateInsert)","+  if err != nil {","+    return fmt.Errorf(\"BatchUpdateNodeStates: prepare state insert: %w\", err)","+  }","+  defer stmtInsertState.Close()","+","+  for _, u := range updates {","+    var id int64","+    if err := stmtLookup.QueryRow(u.Hostname, u.Cluster).Scan(&id); err != nil {","+      if err == sql.ErrNoRows {","+        subcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)","+        if scErr != nil {","+          cclog.Errorf(\"BatchUpdateNodeStates: subcluster lookup for '%s' in '%s': %v\", u.Hostname, u.Cluster, scErr)","+          continue","+        }","+        node := schema.NodeDB{","+          Hostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,","+        }","+        res, insertErr := stmtInsertNode.Exec(&node)","+        if insertErr != nil {","+          cclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)","+          continue","+        }","+        id, _ = res.LastInsertId()","+      } else {","+        cclog.Errorf(\"BatchUpdateNodeStates: lookup node '%s': %v\", u.Hostname, err)","+        continue","+      }","+    }","+","+    u.NodeState.NodeID = id","+    if _, err := stmtInsertState.Exec(u.NodeState); err != nil {","+      cclog.Errorf(\"BatchUpdateNodeStates: insert state for '%s': %v\", u.Hostname, err)","+    }","+  }","+","+  if err := tx.Commit(); err != nil {","+    return fmt.Errorf(\"BatchUpdateNodeStates: commit: %w\", err)","+  }","+  return nil","+}","+"," // func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {"," // \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {"," // \t\tcclog.Errorf(\"error while updating node '%d'\", id)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"7956bad8-245f-4be0-b117-98737a7e1662","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"9006a851-8e89-47d0-8cc0-6a71f7579d4c","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SfYezs5gWfSaJwFBvZwTQm","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"d3f9fff6-c5c7-4b6a-9ccf-be1ce553c3d1","timestamp":"2026-03-16T10:13:42.820Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)","newString":"\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":345,"oldLines":6,"newStart":345,"newLines":7,"lines":["   repo := repository.GetNodeRepository()","   requestReceived := time.Now().Unix()"," ","+  updates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))","   for _, node := range req.Nodes {","     state := determineState(node.States)","     nodeState := schema.NodeStateDB{"]},{"oldStart":356,"oldLines":11,"newStart":357,"newLines":15,"lines":["       HealthState:     schema.MonitoringStateFull,","       JobsRunning:     node.JobsRunning,","     }","+    updates = append(updates, repository.NodeStateUpdate{","+      Hostname:  node.Hostname,","+      Cluster:   req.Cluster,","+      NodeState: &nodeState,","+    })","+  }"," ","-    if err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {","-      cclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",","-        node.Hostname, req.Cluster, err)","-    }","+  if err := repo.BatchUpdateNodeStates(updates); err != nil {","+    cclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)","   }"," ","   cclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"9006a851-8e89-47d0-8cc0-6a71f7579d4c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d3f9fff6-c5c7-4b6a-9ccf-be1ce553c3d1","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01XW1TDmuGSvp8mtAm3TgEbp","type":"message","role":"assistant","content":[{"type":"text","text":"Now update the REST handler to also batch the DB part:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":807,"cache_read_input_tokens":70459,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":807},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6aiHcgkCnEMhSsh7iXd","type":"assistant","uuid":"4a840c99-f10e-4a2a-88a9-26722953097a","timestamp":"2026-03-16T10:13:46.319Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"4a840c99-f10e-4a2a-88a9-26722953097a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01XW1TDmuGSvp8mtAm3TgEbp","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KWgT3DMBg4wm69ijcQDpSf","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go","old_string":"\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     healthState,\n\t\t\tHealthMetrics:   healthMetrics,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))","new_string":"\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     healthState,\n\t\t\tHealthMetrics:   healthMetrics,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":807,"cache_read_input_tokens":70459,"output_tokens":912,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":807,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6aiHcgkCnEMhSsh7iXd","type":"assistant","uuid":"a9780779-40bc-4130-84ef-769ec8d703e9","timestamp":"2026-03-16T10:13:53.745Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"fmt\"\n\t\"maps\"\n\t\"net/http\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\ntype UpdateNodeStatesRequest struct {\n\tNodes   []schema.NodePayload `json:\"nodes\"`\n\tCluster string               `json:\"cluster\" example:\"fritz\"`\n}\n\n// metricListToNames converts a map of metric configurations to a list of metric names\nfunc metricListToNames(metricList map[string]*schema.Metric) []string {\n\tnames := make([]string, 0, len(metricList))\n\tfor name := range metricList {\n\t\tnames = append(names, name)\n\t}\n\treturn names\n}\n\n// this routine assumes that only one of them exists per node\nfunc determineState(states []string) schema.SchedulerState {\n\tfor _, state := range states {\n\t\tswitch strings.ToLower(state) {\n\t\tcase \"allocated\":\n\t\t\treturn schema.NodeStateAllocated\n\t\tcase \"reserved\":\n\t\t\treturn schema.NodeStateReserved\n\t\tcase \"idle\":\n\t\t\treturn schema.NodeStateIdle\n\t\tcase \"down\":\n\t\t\treturn schema.NodeStateDown\n\t\tcase \"mixed\":\n\t\t\treturn schema.NodeStateMixed\n\t\t}\n\t}\n\n\treturn schema.NodeStateUnknown\n}\n\n// updateNodeStates godoc\n// @summary     Deliver updated Slurm node states\n// @tags Nodestates\n// @description Returns a JSON-encoded list of users.\n// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n// @produce     json\n// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/nodestats/ [post]\nfunc (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n\t// Parse request body\n\treq := UpdateNodeStatesRequest{}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n\t\t\thttp.StatusBadRequest, rw)\n\t\treturn\n\t}\n\trequestReceived := time.Now().Unix()\n\trepo := repository.GetNodeRepository()\n\n\tm := make(map[string][]string)\n\tmetricNames := make(map[string][]string)\n\thealthResults := make(map[string]metricstore.HealthCheckResult)\n\n\tstartMs := time.Now()\n\n\t// Step 1: Build nodeList and metricList per subcluster\n\tfor _, node := range req.Nodes {\n\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n\t\t\tm[sc] = append(m[sc], node.Hostname)\n\t\t}\n\t}\n\n\tfor sc := range m {\n\t\tif sc != \"\" {\n\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n\t\t\tmetricNames[sc] = metricListToNames(metricList)\n\t\t}\n\t}\n\n\t// Step 2: Determine which metric store to query and perform health check\n\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n\tif err != nil {\n\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n\t} else {\n\t\tfor sc, nl := range m {\n\t\t\tif sc != \"\" {\n\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n\t\t\t\t\tmaps.Copy(healthResults, results)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     healthState,\n\t\t\tHealthMetrics:   healthMetrics,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n}\n","structuredPatch":[{"oldStart":116,"oldLines":6,"newStart":116,"newLines":7,"lines":["   cclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))","   startDB := time.Now()"," ","+  updates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))","   for _, node := range req.Nodes {","     state := determineState(node.States)","     healthState := schema.MonitoringStateFailed"]},{"oldStart":134,"oldLines":11,"newStart":135,"newLines":15,"lines":["       HealthMetrics:   healthMetrics,","       JobsRunning:     node.JobsRunning,","     }","+    updates = append(updates, repository.NodeStateUpdate{","+      Hostname:  node.Hostname,","+      Cluster:   req.Cluster,","+      NodeState: &nodeState,","+    })","+  }"," ","-    if err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {","-      cclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",","-        node.Hostname, req.Cluster, err)","-    }","+  if err := repo.BatchUpdateNodeStates(updates); err != nil {","+    cclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)","   }"," ","   cclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"a9780779-40bc-4130-84ef-769ec8d703e9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}","new_string":"func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Transfer cached jobs to main table and clear cache in a single transaction.\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer tx.Rollback()\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = tx.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. 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AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":955,"cache_read_input_tokens":71266,"output_tokens":1692,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":955,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6aj64SNo9N1xgzrnbah","type":"assistant","uuid":"5d65a99e-fbc1-45d5-9fce-5aa84524dc4d","timestamp":"2026-03-16T10:14:16.085Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}","newString":"func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Transfer cached jobs to main table and clear cache in a single transaction.\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer tx.Rollback()\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = tx.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"encoding/json\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst NamedJobCacheInsert string = `INSERT INTO job_cache (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n);`\n\nconst NamedJobInsert string = `INSERT INTO job (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n);`\n\n// InsertJobDirect inserts a job directly into the job table (not job_cache).\n// Use this when the returned ID will be used for operations on the job table\n// (e.g., adding tags), or for imported jobs that are already completed.\nfunc (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = r.DB.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}\n\n// TransferCachedJobToMain moves a job from job_cache to the job table.\n// Caller must hold r.Mutex. Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\treturn newID, nil\n}\n\n// Start inserts a new job in the table, returning the unique job ID.\n// Statistics are not transfered!\nfunc (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJob(job)\n}\n\n// StartDirect inserts a new job directly into the job table (not job_cache).\n// Use this when the returned ID will immediately be used for job table\n// operations such as adding tags.\nfunc (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJobDirect(job)\n}\n\n// Stop updates the job with the database id jobId using the provided arguments.\nfunc (r *JobRepository) Stop(\n\tjobID int64,\n\tduration int32,\n\tstate schema.JobState,\n\tmonitoringStatus int32,\n) (err error) {\n\t// Invalidate cache entries as job state is changing\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n\n\tstmt := sq.Update(\"job\").\n\t\tSet(\"job_state\", state).\n\t\tSet(\"duration\", duration).\n\t\tSet(\"monitoring_status\", monitoringStatus).\n\t\tWhere(\"job.id = ?\", jobID)\n\n\t_, err = stmt.RunWith(r.stmtCache).Exec()\n\treturn err\n}\n","structuredPatch":[{"oldStart":92,"oldLines":20,"newStart":92,"newLines":33,"lines":["     jobs = append(jobs, job)","   }"," ","+  // Transfer cached jobs to main table and clear cache in a single transaction.","+  tx, err := r.DB.Beginx()","+  if err != nil {","+    cclog.Errorf(\"SyncJobs: begin transaction: %v\", err)","+    return nil, err","+  }","+  defer tx.Rollback()","+","   // Use INSERT OR IGNORE to skip jobs already transferred by the stop path","-  _, err = r.DB.Exec(","+  _, err = tx.Exec(","     \"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")","   if err != nil {","     cclog.Errorf(\"Error while Job sync: %v\", err)","     return nil, err","   }"," ","-  _, err = r.DB.Exec(\"DELETE FROM job_cache\")","+  _, err = tx.Exec(\"DELETE FROM job_cache\")","   if err != nil {","     cclog.Errorf(\"Error while Job cache clean: %v\", err)","     return nil, err","   }"," ","+  if err := tx.Commit(); err != nil {","+    cclog.Errorf(\"SyncJobs: commit transaction: %v\", err)","+    return nil, err","+  }","+","   // Resolve correct job.id from the job table. The IDs read from job_cache","   // are from a different auto-increment sequence and must not be used to","   // query the job table."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"5d65a99e-fbc1-45d5-9fce-5aa84524dc4d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"3775dc48-712d-4527-831d-4b8ba6f366d9","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014HMVkUZgUEv2F5FVEvG9yC","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"ee24031c-69cc-4429-8b76-a49bdc1e244e","timestamp":"2026-03-16T10:14:25.663Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"type NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t}\n}","newString":"type NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n\t// when the database is under contention.\n\tjobSem chan struct{}\n\t// nodeSem limits concurrent NATS node state processing.\n\tnodeSem chan struct{}\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobSem:        make(chan struct{}, 8),\n\t\tnodeSem:       make(chan struct{}, 2),\n\t}\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":64,"oldLines":12,"newStart":64,"newLines":19,"lines":["   // RepositoryMutex protects job creation operations from race conditions","   // when checking for duplicate jobs during startJob calls.","   RepositoryMutex sync.Mutex","+  // jobSem limits concurrent NATS job event processing to prevent goroutine accumulation","+  // when the database is under contention.","+  jobSem chan struct{}","+  // nodeSem limits concurrent NATS node state processing.","+  nodeSem chan struct{}"," }"," "," // NewNatsAPI creates a new NatsAPI instance with default dependencies."," func NewNatsAPI() *NatsAPI {","   return &NatsAPI{","     JobRepository: repository.GetJobRepository(),","+    jobSem:        make(chan struct{}, 8),","+    nodeSem:       make(chan struct{}, 2),","   }"," }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"3775dc48-712d-4527-831d-4b8ba6f366d9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"ee24031c-69cc-4429-8b76-a49bdc1e244e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01BAi9cdLpY9ze3kti1EgJd8","type":"message","role":"assistant","content":[{"type":"text","text":"Now add semaphore acquire/release to `handleJobEvent` and `handleNodeState`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":618,"cache_read_input_tokens":73957,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":618},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6amSZHFncC3Jwm7TmpJ","type":"assistant","uuid":"493fc493-c27b-477d-a40e-229856dd3a25","timestamp":"2026-03-16T10:14:29.415Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"493fc493-c27b-477d-a40e-229856dd3a25","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01BAi9cdLpY9ze3kti1EgJd8","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01F343pD8uwJ3KXtR8moYRXc","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","old_string":"func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","new_string":"func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tapi.jobSem <- struct{}{}\n\tdefer func() { <-api.jobSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":618,"cache_read_input_tokens":73957,"output_tokens":330,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":618,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6amSZHFncC3Jwm7TmpJ","type":"assistant","uuid":"1ef8186a-a04a-482e-b9a5-3c346596f2fc","timestamp":"2026-03-16T10:14:31.960Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"1ef8186a-a04a-482e-b9a5-3c346596f2fc","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01F343pD8uwJ3KXtR8moYRXc","toolUseID":"toolu_01F343pD8uwJ3KXtR8moYRXc","timestamp":"2026-03-16T10:14:31.972Z","uuid":"0e01642d-c7a2-434b-86e8-aa9d2671dea5","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"1ef8186a-a04a-482e-b9a5-3c346596f2fc","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01F343pD8uwJ3KXtR8moYRXc","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"56d57da3-6e7b-40c4-8d7c-511fcb0411d5","timestamp":"2026-03-16T10:14:31.972Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","newString":"func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tapi.jobSem <- struct{}{}\n\tdefer func() { <-api.jobSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n\t// when the database is under contention.\n\tjobSem chan struct{}\n\t// nodeSem limits concurrent NATS node state processing.\n\tnodeSem chan struct{}\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobSem:        make(chan struct{}, 8),\n\t\tnodeSem:       make(chan struct{}, 2),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":144,"oldLines":6,"newStart":144,"newLines":9,"lines":[" //"," // Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000"," func (api *NatsAPI) handleJobEvent(subject string, data []byte) {","+  api.jobSem <- struct{}{}","+  defer func() { <-api.jobSem }()","+","   if len(data) == 0 {","     cclog.Warnf(\"NATS %s: received empty message\", subject)","     return"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"1ef8186a-a04a-482e-b9a5-3c346596f2fc","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"56d57da3-6e7b-40c4-8d7c-511fcb0411d5","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_018GDq8pzsSNa7nJereCUUuJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017JDESo1Lkjh5SWMU35gSHD","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","old_string":"func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","new_string":"func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tapi.nodeSem <- struct{}{}\n\tdefer func() { <-api.nodeSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":374,"cache_read_input_tokens":74575,"output_tokens":309,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":374,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6amuTHvcstiLQtphpTt","type":"assistant","uuid":"d7e94c87-1f2a-4e1b-9161-c8c4ea41292f","timestamp":"2026-03-16T10:14:36.687Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d7e94c87-1f2a-4e1b-9161-c8c4ea41292f","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_017JDESo1Lkjh5SWMU35gSHD","toolUseID":"toolu_017JDESo1Lkjh5SWMU35gSHD","timestamp":"2026-03-16T10:14:36.702Z","uuid":"f81a86b2-4d61-41bf-b4ea-3a85809dacee","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d7e94c87-1f2a-4e1b-9161-c8c4ea41292f","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017JDESo1Lkjh5SWMU35gSHD","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"a9a61ff3-ead3-48d1-807b-e2a14ab45568","timestamp":"2026-03-16T10:14:36.702Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","newString":"func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tapi.nodeSem <- struct{}{}\n\tdefer func() { <-api.nodeSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n\t// when the database is under contention.\n\tjobSem chan struct{}\n\t// nodeSem limits concurrent NATS node state processing.\n\tnodeSem chan struct{}\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobSem:        make(chan struct{}, 8),\n\t\tnodeSem:       make(chan struct{}, 2),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tapi.jobSem <- struct{}{}\n\tdefer func() { <-api.jobSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":387,"oldLines":6,"newStart":387,"newLines":9,"lines":[" //"," // Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000"," func (api *NatsAPI) handleNodeState(subject string, data []byte) {","+  api.nodeSem <- struct{}{}","+  defer func() { <-api.nodeSem }()","+","   if len(data) == 0 {","     cclog.Warnf(\"NATS %s: received empty message\", subject)","     return"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"d7e94c87-1f2a-4e1b-9161-c8c4ea41292f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"a9a61ff3-ead3-48d1-807b-e2a14ab45568","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01N5TaR6cLdSMWNQuMeYKmWB","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me verify the build compiles:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":353,"cache_read_input_tokens":74949,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":353},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6anFfDoyRxTbWofrkvV","type":"assistant","uuid":"6362acdd-a63c-4cc8-81f5-6b956b1dcd7b","timestamp":"2026-03-16T10:14:40.520Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"b4973f4a-3987-40a0-9784-97ab8f94be4c","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":"Are there other opportunities to reduce the insert pressure on the db using transactions or other techniques?"},"uuid":"77246124-c7ed-405a-87de-11b99d5c5171","timestamp":"2026-03-16T10:18:22.003Z","permissionMode":"plan","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"2c1eddf0-1f39-4852-85ff-a09935d22a02","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VcJqMaKr97nTjqZLiZRmCD","type":"tool_result","content":"     1→# Fix: SQLite Write Contention Causing OOM Crash\n     2→\n     3→## Context\n     4→\n     5→The server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.\n     6→\n     7→**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.\n     8→\n     9→The cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.\n    10→\n    11→---\n    12→\n    13→## Fix 1: Increase busy_timeout (contention relief)\n    14→\n    15→**File:** `internal/repository/dbConnection.go:73`\n    16→\n    17→Change `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:\n    18→\n    19→**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.\n    20→\n    21→**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.\n    22→\n    23→**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.\n    24→\n    25→With 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.\n    26→\n    27→---\n    28→\n    29→## Fix 2: Batch Node State Updates in a Transaction\n    30→\n    31→Currently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.\n    32→\n    33→**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:\n    34→- Accept a slice of `(hostname, cluster, nodeState)` tuples\n    35→- Begin transaction\n    36→- For each node: lookup ID (or insert node), then insert state — all within the same transaction\n    37→- Commit once\n    38→\n    39→**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.\n    40→\n    41→**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).\n    42→\n    43→Keep the existing `UpdateNodeState` method for single-node use cases.\n    44→\n    45→---\n    46→\n    47→## Fix 3: Fix LDAP Sync Race Condition\n    48→\n    49→The LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.\n    50→\n    51→**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:\n    52→```go\n    53→func (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n    54→    rolesJson, _ := json.Marshal(user.Roles)\n    55→    projectsJson, _ := json.Marshal(user.Projects)\n    56→    cols := \"username, name, roles, projects, ldap\"\n    57→    _, err := r.DB.Exec(\n    58→        `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,\n    59→        user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n    60→    return err\n    61→}\n    62→```\n    63→\n    64→**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.\n    65→\n    66→Note: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.\n    67→\n    68→---\n    69→\n    70→## Fix 4: Add Semaphore for NATS Handlers\n    71→\n    72→Without rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.\n    73→\n    74→**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:\n    75→```go\n    76→type NatsAPI struct {\n    77→    JobRepository   *repository.JobRepository\n    78→    RepositoryMutex sync.Mutex\n    79→    jobSem          chan struct{}\n    80→    nodeSem         chan struct{}\n    81→}\n    82→```\n    83→\n    84→Initialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.\n    85→\n    86→Add acquire/release in `handleJobEvent` and `handleNodeState`:\n    87→```go\n    88→api.jobSem <- struct{}{}\n    89→defer func() { <-api.jobSem }()\n    90→```\n    91→\n    92→This caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.\n    93→\n    94→---\n    95→\n    96→## Fix 5: Wrap SyncJobs in a Transaction\n    97→\n    98→**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)\n    99→\n   100→Currently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:\n   101→- `tx, err := r.DB.Beginx()`\n   102→- Run all three operations on `tx`\n   103→- `tx.Commit()`\n   104→- Do the read-only ID resolution outside the transaction\n   105→\n   106→This reduces lock acquisitions from 3 to 1 and ensures atomicity.\n   107→\n   108→---\n   109→\n   110→## Implementation Order\n   111→\n   112→1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact\n   113→2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change\n   114→3. **Fix 2** (batch node states) — biggest contention reduction\n   115→4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction\n   116→5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation\n   117→\n   118→---\n   119→\n   120→## Verification\n   121→\n   122→1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.\n   123→2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.\n   124→3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.\n   125→4. Run `go test ./internal/repository/... ./internal/api/... ./internal/auth/...` after all changes.\n   126→5. Load test: simulate burst of 100+ concurrent job start/stop events + node state update with 500 nodes + LDAP sync running simultaneously. Monitor goroutine count and memory.\n   127→"}]},"uuid":"9de761c4-cd6e-4978-bad3-2ad8ccf0e314","timestamp":"2026-03-16T10:18:27.587Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/.claude/plans/woolly-wandering-narwhal.md","content":"# Fix: SQLite Write Contention Causing OOM Crash\n\n## Context\n\nThe server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.\n\n**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.\n\nThe cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.\n\n---\n\n## Fix 1: Increase busy_timeout (contention relief)\n\n**File:** `internal/repository/dbConnection.go:73`\n\nChange `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:\n\n**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.\n\n**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.\n\n**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.\n\nWith 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.\n\n---\n\n## Fix 2: Batch Node State Updates in a Transaction\n\nCurrently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.\n\n**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:\n- Accept a slice of `(hostname, cluster, nodeState)` tuples\n- Begin transaction\n- For each node: lookup ID (or insert node), then insert state — all within the same transaction\n- Commit once\n\n**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.\n\n**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).\n\nKeep the existing `UpdateNodeState` method for single-node use cases.\n\n---\n\n## Fix 3: Fix LDAP Sync Race Condition\n\nThe LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.\n\n**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:\n```go\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n    rolesJson, _ := json.Marshal(user.Roles)\n    projectsJson, _ := json.Marshal(user.Projects)\n    cols := \"username, name, roles, projects, ldap\"\n    _, err := r.DB.Exec(\n        `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,\n        user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n    return err\n}\n```\n\n**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.\n\nNote: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.\n\n---\n\n## Fix 4: Add Semaphore for NATS Handlers\n\nWithout rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.\n\n**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:\n```go\ntype NatsAPI struct {\n    JobRepository   *repository.JobRepository\n    RepositoryMutex sync.Mutex\n    jobSem          chan struct{}\n    nodeSem         chan struct{}\n}\n```\n\nInitialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.\n\nAdd acquire/release in `handleJobEvent` and `handleNodeState`:\n```go\napi.jobSem <- struct{}{}\ndefer func() { <-api.jobSem }()\n```\n\nThis caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.\n\n---\n\n## Fix 5: Wrap SyncJobs in a Transaction\n\n**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)\n\nCurrently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:\n- `tx, err := r.DB.Beginx()`\n- Run all three operations on `tx`\n- `tx.Commit()`\n- Do the read-only ID resolution outside the transaction\n\nThis reduces lock acquisitions from 3 to 1 and ensures atomicity.\n\n---\n\n## Implementation Order\n\n1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact\n2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change\n3. **Fix 2** (batch node states) — biggest contention reduction\n4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction\n5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation\n\n---\n\n## Verification\n\n1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.\n2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.\n3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.\n4. 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+{"parentUuid":"35cd6ce4-24fd-481c-9744-2c16c7ee2083","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HkM6fykBdPWHAiCUXwWyyJ","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"encoding/json\"\n    10→\t\"fmt\"\n    11→\n    12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    14→\tsq \"github.com/Masterminds/squirrel\"\n    15→)\n    16→\n    17→const NamedJobCacheInsert string = `INSERT INTO job_cache (\n    18→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n    19→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n    20→) VALUES (\n    21→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n    22→  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n    23→);`\n    24→\n    25→const NamedJobInsert string = `INSERT INTO job (\n    26→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n    27→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n    28→) VALUES (\n    29→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n    30→  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n    31→);`\n    32→\n    33→// InsertJobDirect inserts a job directly into the job table (not job_cache).\n    34→// Use this when the returned ID will be used for operations on the job table\n    35→// (e.g., adding tags), or for imported jobs that are already completed.\n    36→func (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n    37→\tr.Mutex.Lock()\n    38→\tdefer r.Mutex.Unlock()\n    39→\n    40→\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n    41→\tif err != nil {\n    42→\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n    43→\t\treturn 0, err\n    44→\t}\n    45→\tid, err := res.LastInsertId()\n    46→\tif err != nil {\n    47→\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n    48→\t\treturn 0, err\n    49→\t}\n    50→\n    51→\treturn id, nil\n    52→}\n    53→\n    54→func (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n    55→\tr.Mutex.Lock()\n    56→\tdefer r.Mutex.Unlock()\n    57→\n    58→\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n    59→\tif err != nil {\n    60→\t\tcclog.Warn(\"Error while NamedJobInsert\")\n    61→\t\treturn 0, err\n    62→\t}\n    63→\tid, err := res.LastInsertId()\n    64→\tif err != nil {\n    65→\t\tcclog.Warn(\"Error while getting last insert ID\")\n    66→\t\treturn 0, err\n    67→\t}\n    68→\n    69→\treturn id, nil\n    70→}\n    71→\n    72→func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n    73→\tr.Mutex.Lock()\n    74→\tdefer r.Mutex.Unlock()\n    75→\n    76→\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n    77→\n    78→\trows, err := query.RunWith(r.stmtCache).Query()\n    79→\tif err != nil {\n    80→\t\tcclog.Errorf(\"Error while running query %v\", err)\n    81→\t\treturn nil, err\n    82→\t}\n    83→\tdefer rows.Close()\n    84→\n    85→\tjobs := make([]*schema.Job, 0, 50)\n    86→\tfor rows.Next() {\n    87→\t\tjob, err := scanJob(rows)\n    88→\t\tif err != nil {\n    89→\t\t\tcclog.Warn(\"Error while scanning rows\")\n    90→\t\t\treturn nil, err\n    91→\t\t}\n    92→\t\tjobs = append(jobs, job)\n    93→\t}\n    94→\n    95→\t// Transfer cached jobs to main table and clear cache in a single transaction.\n    96→\ttx, err := r.DB.Beginx()\n    97→\tif err != nil {\n    98→\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n    99→\t\treturn nil, err\n   100→\t}\n   101→\tdefer tx.Rollback()\n   102→\n   103→\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n   104→\t_, err = tx.Exec(\n   105→\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n   106→\tif err != nil {\n   107→\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n   108→\t\treturn nil, err\n   109→\t}\n   110→\n   111→\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n   112→\tif err != nil {\n   113→\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n   114→\t\treturn nil, err\n   115→\t}\n   116→\n   117→\tif err := tx.Commit(); err != nil {\n   118→\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n   119→\t\treturn nil, err\n   120→\t}\n   121→\n   122→\t// Resolve correct job.id from the job table. The IDs read from job_cache\n   123→\t// are from a different auto-increment sequence and must not be used to\n   124→\t// query the job table.\n   125→\tfor _, job := range jobs {\n   126→\t\tvar newID int64\n   127→\t\tif err := sq.Select(\"job.id\").From(\"job\").\n   128→\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n   129→\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n   130→\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n   131→\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n   132→\t\t\t\tjob.JobID, job.Cluster, err)\n   133→\t\t\tcontinue\n   134→\t\t}\n   135→\t\tjob.ID = &newID\n   136→\t}\n   137→\n   138→\treturn jobs, nil\n   139→}\n   140→\n   141→// TransferCachedJobToMain moves a job from job_cache to the job table.\n   142→// Caller must hold r.Mutex. Returns the new job table ID.\n   143→func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n   144→\tres, err := r.DB.Exec(\n   145→\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n   146→\t\tcacheID)\n   147→\tif err != nil {\n   148→\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n   149→\t}\n   150→\n   151→\tnewID, err := res.LastInsertId()\n   152→\tif err != nil {\n   153→\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n   154→\t}\n   155→\n   156→\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n   157→\tif err != nil {\n   158→\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n   159→\t}\n   160→\n   161→\treturn newID, nil\n   162→}\n   163→\n   164→// Start inserts a new job in the table, returning the unique job ID.\n   165→// Statistics are not transfered!\n   166→func (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n   167→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   168→\tif err != nil {\n   169→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n   170→\t}\n   171→\n   172→\tjob.RawResources, err = json.Marshal(job.Resources)\n   173→\tif err != nil {\n   174→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n   175→\t}\n   176→\n   177→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n   178→\tif err != nil {\n   179→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n   180→\t}\n   181→\n   182→\treturn r.InsertJob(job)\n   183→}\n   184→\n   185→// StartDirect inserts a new job directly into the job table (not job_cache).\n   186→// Use this when the returned ID will immediately be used for job table\n   187→// operations such as adding tags.\n   188→func (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n   189→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   190→\tif err != nil {\n   191→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n   192→\t}\n   193→\n   194→\tjob.RawResources, err = json.Marshal(job.Resources)\n   195→\tif err != nil {\n   196→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n   197→\t}\n   198→\n   199→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n   200→\tif err != nil {\n   201→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n   202→\t}\n   203→\n   204→\treturn r.InsertJobDirect(job)\n   205→}\n   206→\n   207→// Stop updates the job with the database id jobId using the provided arguments.\n   208→func (r *JobRepository) Stop(\n   209→\tjobID int64,\n   210→\tduration int32,\n   211→\tstate schema.JobState,\n   212→\tmonitoringStatus int32,\n   213→) (err error) {\n   214→\t// Invalidate cache entries as job state is changing\n   215→\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n   216→\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n   217→\n   218→\tstmt := sq.Update(\"job\").\n   219→\t\tSet(\"job_state\", state).\n   220→\t\tSet(\"duration\", duration).\n   221→\t\tSet(\"monitoring_status\", monitoringStatus).\n   222→\t\tWhere(\"job.id = ?\", jobID)\n   223→\n   224→\t_, err = stmt.RunWith(r.stmtCache).Exec()\n   225→\treturn err\n   226→}\n   227→"}]},"uuid":"5d8ee9d6-b030-4c74-833d-49b9a7ebd9c3","timestamp":"2026-03-16T10:18:43.890Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"38b7eecb-8634-4eb0-a187-2d048452460b","timestamp":"2026-03-16T10:18:43.890Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"38b7eecb-8634-4eb0-a187-2d048452460b","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EKYTiA5S5dj987gevScvTS","type":"tool_result","content":"<persisted-output>\nOutput too large (49.5KB). Full output saved to: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/3a41c7a4-abf8-484b-96ae-ee5618eea5ba/tool-results/toolu_01EKYTiA5S5dj987gevScvTS.txt\n\nPreview (first 2KB):\n     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package repository provides the data access layer for cc-backend using the repository pattern.\n     7→//\n     8→// The repository pattern abstracts database operations and provides a clean interface for\n     9→// data access. Each major entity (Job, User, Node, Tag) has its own repository with CRUD\n    10→// operations and specialized queries.\n    11→//\n    12→// # Database Connection\n    13→//\n    14→// Initialize the database connection before using any repository:\n    15→//\n    16→//\trepository.Connect(\"sqlite3\", \"./var/job.db\")\n    17→//\n    18→// # Configuration\n    19→//\n    20→// Optional: Configure repository settings before initialization:\n    21→//\n    22→//\trepository.SetConfig(&repository.RepositoryConfig{\n    23→//\t    CacheSize: 2 * 1024 * 1024,     // 2MB cache\n    24→//\t    MaxOpenConnections: 8,           // Connection pool size\n    25→//\t    MinRunningJobDuration: 300,      // Filter threshold\n    26→//\t})\n    27→//\n    28→// If not configured, sensible defaults are used automatically.\n    29→//\n    30→// # Repositories\n    31→//\n    32→//   - JobRepository: Job lifecycle management and querying\n    33→//   - UserRepository: User management and authentication\n    34→//   - NodeRepository: Cluster node state tracking\n    35→//   - Tags: Job tagging and categorization\n    36→//\n    37→// # Caching\n    38→//\n    39→// Repositories use LRU caching to improve performance. Cache keys are constructed\n    40→// as \"type:id\" (e.g., \"metadata:123\"). Cache is automatically invalidated on\n    41→// mutations to maintain consistency.\n    42→//\n    43→// # Transaction Support\n    44→//\n    45→// For batch operations, use transactions:\n    46→//\n    47→//\tt, err := jobRepo.TransactionInit()\n...\n</persisted-output>"}]},"uuid":"2d340f9e-3460-4d05-a652-9b2aa3482e6a","timestamp":"2026-03-16T10:18:44.008Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"73dc0e40-cc6c-499a-a987-9e066c064607","timestamp":"2026-03-16T10:18:44.083Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"73dc0e40-cc6c-499a-a987-9e066c064607","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:44.098Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01CGzHX4WVBQLFwrxRcpSCfL","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01D4EbLUUdwazYptjDjNVKDR","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":5652,"cache_read_input_tokens":13439,"cache_creation":{"ephemeral_5m_input_tokens":5652,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6LQyLqEj2BXvkCr4W","uuid":"08205c4a-738a-47a7-bf53-d42e8e04d164"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"0f4fe58e-47c2-4e9a-bf48-c169cc66b6bb","timestamp":"2026-03-16T10:18:44.098Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"0f4fe58e-47c2-4e9a-bf48-c169cc66b6bb","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01D4EbLUUdwazYptjDjNVKDR","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package repository\n     6→\n     7→import (\n     8→\t\"context\"\n     9→\t\"database/sql\"\n    10→\t\"encoding/json\"\n    11→\t\"errors\"\n    12→\t\"fmt\"\n    13→\t\"reflect\"\n    14→\t\"strings\"\n    15→\t\"sync\"\n    16→\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→\tsq \"github.com/Masterminds/squirrel\"\n    22→\t\"github.com/jmoiron/sqlx\"\n    23→\t\"golang.org/x/crypto/bcrypt\"\n    24→)\n    25→\n    26→// Authentication and Role System:\n    27→//\n    28→// ClusterCockpit supports multiple authentication sources:\n    29→//   - Local: Username/password stored in database (password hashed with bcrypt)\n    30→//   - LDAP: External LDAP/Active Directory authentication\n    31→//   - JWT: Token-based authentication for API access\n    32→//\n    33→// Role Hierarchy (from highest to lowest privilege):\n    34→//   1. \"admin\" - Full system access, can manage all users and jobs\n    35→//   2. \"support\" - Can view all jobs but limited management capabilities\n    36→//   3. \"manager\" - Can manage specific projects and their users\n    37→//   4. \"api\" - Programmatic access for job submission/management\n    38→//   5. \"user\" - Default role, can only view own jobs\n    39→//\n    40→// Project Association:\n    41→//   - Managers have a list of projects they oversee\n    42→//   - Regular users' project membership is determined by job data\n    43→//   - Managers can view/manage all jobs within their projects\n    44→\n    45→var (\n    46→\tuserRepoOnce     sync.Once\n    47→\tuserRepoInstance *UserRepository\n    48→)\n    49→\n    50→type UserRepository struct {\n    51→\tDB     *sqlx.DB\n    52→\tdriver string\n    53→}\n    54→\n    55→func GetUserRepository() *UserRepository {\n    56→\tuserRepoOnce.Do(func() {\n    57→\t\tdb := GetConnection()\n    58→\n    59→\t\tuserRepoInstance = &UserRepository{\n    60→\t\t\tDB:     db.DB,\n    61→\t\t\tdriver: db.Driver,\n    62→\t\t}\n    63→\t})\n    64→\treturn userRepoInstance\n    65→}\n    66→\n    67→// GetUser retrieves a user by username from the database.\n    68→// Returns the complete user record including hashed password, roles, and projects.\n    69→// Password field contains bcrypt hash for local auth users, empty for LDAP users.\n    70→func (r *UserRepository) GetUser(username string) (*schema.User, error) {\n    71→\tuser := &schema.User{Username: username}\n    72→\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n    73→\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n    74→\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n    75→\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n    76→\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n    77→\t\treturn nil, err\n    78→\t}\n    79→\n    80→\tuser.Password = hashedPassword.String\n    81→\tuser.Name = name.String\n    82→\tuser.Email = email.String\n    83→\tif rawRoles.Valid {\n    84→\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n    85→\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n    86→\t\t\treturn nil, err\n    87→\t\t}\n    88→\t}\n    89→\tif rawProjects.Valid {\n    90→\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n    91→\t\t\treturn nil, err\n    92→\t\t}\n    93→\t}\n    94→\n    95→\treturn user, nil\n    96→}\n    97→\n    98→func (r *UserRepository) GetLdapUsernames() ([]string, error) {\n    99→\tvar users []string\n   100→\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n   101→\tif err != nil {\n   102→\t\tcclog.Warn(\"Error while querying usernames\")\n   103→\t\treturn nil, err\n   104→\t}\n   105→\tdefer rows.Close()\n   106→\n   107→\tfor rows.Next() {\n   108→\t\tvar username string\n   109→\t\tif err := rows.Scan(&username); err != nil {\n   110→\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n   111→\t\t\treturn nil, err\n   112→\t\t}\n   113→\n   114→\t\tusers = append(users, username)\n   115→\t}\n   116→\n   117→\treturn users, nil\n   118→}\n   119→\n   120→// AddUser creates a new user in the database.\n   121→// Passwords are automatically hashed with bcrypt before storage.\n   122→// Auth source determines authentication method (local, LDAP, etc.).\n   123→//\n   124→// Required fields: Username, Roles\n   125→// Optional fields: Name, Email, Password, Projects, AuthSource\n   126→func (r *UserRepository) AddUser(user *schema.User) error {\n   127→\trolesJson, _ := json.Marshal(user.Roles)\n   128→\tprojectsJson, _ := json.Marshal(user.Projects)\n   129→\n   130→\tcols := []string{\"username\", \"roles\", \"projects\"}\n   131→\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n   132→\n   133→\tif user.Name != \"\" {\n   134→\t\tcols = append(cols, \"name\")\n   135→\t\tvals = append(vals, user.Name)\n   136→\t}\n   137→\tif user.Email != \"\" {\n   138→\t\tcols = append(cols, \"email\")\n   139→\t\tvals = append(vals, user.Email)\n   140→\t}\n   141→\tif user.Password != \"\" {\n   142→\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n   143→\t\tif err != nil {\n   144→\t\t\tcclog.Error(\"Error while encrypting new user password\")\n   145→\t\t\treturn err\n   146→\t\t}\n   147→\t\tcols = append(cols, \"password\")\n   148→\t\tvals = append(vals, string(password))\n   149→\t}\n   150→\tif user.AuthSource != -1 {\n   151→\t\tcols = append(cols, \"ldap\")\n   152→\t\tvals = append(vals, int(user.AuthSource))\n   153→\t}\n   154→\n   155→\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n   156→\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n   157→\t\treturn err\n   158→\t}\n   159→\n   160→\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n   161→\n   162→\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n   163→\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n   164→\tif err != nil {\n   165→\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n   166→\t} else if defaultMetricsCfg != nil {\n   167→\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n   168→\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n   169→\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n   170→\t\t\tif err != nil {\n   171→\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n   172→\t\t\t\tcontinue\n   173→\t\t\t}\n   174→\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n   175→\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n   176→\t\t\tif _, err := sq.Insert(\"configuration\").\n   177→\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n   178→\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n   179→\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n   180→\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n   181→\t\t\t} else {\n   182→\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n   183→\t\t\t}\n   184→\t\t}\n   185→\t}\n   186→\t// END DEPRECATION\n   187→\n   188→\treturn nil\n   189→}\n   190→\n   191→// AddUserIfNotExists inserts a user only if the username does not already exist.\n   192→// Uses INSERT OR IGNORE to avoid UNIQUE constraint errors when a user is\n   193→// concurrently created (e.g., by a login while LDAP sync is running).\n   194→// Unlike AddUser, this intentionally skips the deprecated default metrics config insertion.\n   195→func (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n   196→\trolesJson, _ := json.Marshal(user.Roles)\n   197→\tprojectsJson, _ := json.Marshal(user.Projects)\n   198→\n   199→\tcols := \"username, name, roles, projects, ldap\"\n   200→\t_, err := r.DB.Exec(\n   201→\t\t`INSERT OR IGNORE INTO hpc_user (`+cols+`) VALUES (?, ?, ?, ?, ?)`,\n   202→\t\tuser.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n   203→\treturn err\n   204→}\n   205→\n   206→func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n   207→\t// user contains updated info -> Apply to dbUser\n   208→\t// --- Simple Name Update ---\n   209→\tif dbUser.Name != user.Name {\n   210→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n   211→\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n   212→\t\t\treturn err\n   213→\t\t}\n   214→\t}\n   215→\n   216→\t// --- Def Helpers ---\n   217→\t// Helper to update roles\n   218→\tupdateRoles := func(roles []string) error {\n   219→\t\trolesJSON, _ := json.Marshal(roles)\n   220→\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n   221→\t\treturn err\n   222→\t}\n   223→\n   224→\t// Helper to update projects\n   225→\tupdateProjects := func(projects []string) error {\n   226→\t\tprojectsJSON, _ := json.Marshal(projects)\n   227→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n   228→\t\treturn err\n   229→\t}\n   230→\n   231→\t// Helper to clear projects\n   232→\tclearProjects := func() error {\n   233→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n   234→\t\treturn err\n   235→\t}\n   236→\n   237→\t// --- Manager Role Handling ---\n   238→\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n   239→\t\t// Existing Manager: update projects\n   240→\t\tif err := updateProjects(user.Projects); err != nil {\n   241→\t\t\treturn err\n   242→\t\t}\n   243→\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n   244→\t\t// New Manager: update roles and projects\n   245→\t\tif err := updateRoles(user.Roles); err != nil {\n   246→\t\t\treturn err\n   247→\t\t}\n   248→\t\tif err := updateProjects(user.Projects); err != nil {\n   249→\t\t\treturn err\n   250→\t\t}\n   251→\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n   252→\t\t// Remove Manager: update roles and clear projects\n   253→\t\tif err := updateRoles(user.Roles); err != nil {\n   254→\t\t\treturn err\n   255→\t\t}\n   256→\t\tif err := clearProjects(); err != nil {\n   257→\t\t\treturn err\n   258→\t\t}\n   259→\t}\n   260→\n   261→\t// --- Support Role Handling ---\n   262→\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n   263→\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n   264→\t\t// New Support: update roles\n   265→\t\tif err := updateRoles(user.Roles); err != nil {\n   266→\t\t\treturn err\n   267→\t\t}\n   268→\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n   269→\t\t// Remove Support: update roles\n   270→\t\tif err := updateRoles(user.Roles); err != nil {\n   271→\t\t\treturn err\n   272→\t\t}\n   273→\t}\n   274→\n   275→\treturn nil\n   276→}\n   277→\n   278→func (r *UserRepository) DelUser(username string) error {\n   279→\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n   280→\tif err != nil {\n   281→\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n   282→\t\treturn err\n   283→\t}\n   284→\tcclog.Infof(\"deleted user '%s' from DB\", username)\n   285→\treturn nil\n   286→}\n   287→\n   288→func (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n   289→\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n   290→\tif specialsOnly {\n   291→\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n   292→\t}\n   293→\n   294→\trows, err := q.RunWith(r.DB).Query()\n   295→\tif err != nil {\n   296→\t\tcclog.Warn(\"Error while querying user list\")\n   297→\t\treturn nil, err\n   298→\t}\n   299→\n   300→\tusers := make([]*schema.User, 0)\n   301→\tdefer rows.Close()\n   302→\tfor rows.Next() {\n   303→\t\trawroles := \"\"\n   304→\t\trawprojects := \"\"\n   305→\t\tuser := &schema.User{}\n   306→\t\tvar name, email sql.NullString\n   307→\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n   308→\t\t\tcclog.Warn(\"Error while scanning user list\")\n   309→\t\t\treturn nil, err\n   310→\t\t}\n   311→\n   312→\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n   313→\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n   314→\t\t\treturn nil, err\n   315→\t\t}\n   316→\n   317→\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n   318→\t\t\treturn nil, err\n   319→\t\t}\n   320→\n   321→\t\tuser.Name = name.String\n   322→\t\tuser.Email = email.String\n   323→\t\tusers = append(users, user)\n   324→\t}\n   325→\treturn users, nil\n   326→}\n   327→\n   328→// AddRole adds a role to a user's role list.\n   329→// Role string is automatically lowercased.\n   330→// Valid roles: admin, support, manager, api, user\n   331→//\n   332→// Returns error if:\n   333→//   - User doesn't exist\n   334→//   - Role is invalid\n   335→//   - User already has the role\n   336→func (r *UserRepository) AddRole(\n   337→\tctx context.Context,\n   338→\tusername string,\n   339→\tqueryrole string,\n   340→) error {\n   341→\tnewRole := strings.ToLower(queryrole)\n   342→\tuser, err := r.GetUser(username)\n   343→\tif err != nil {\n   344→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n   345→\t\treturn err\n   346→\t}\n   347→\n   348→\texists, valid := user.HasValidRole(newRole)\n   349→\n   350→\tif !valid {\n   351→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n   352→\t}\n   353→\tif exists {\n   354→\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n   355→\t}\n   356→\n   357→\troles, _ := json.Marshal(append(user.Roles, newRole))\n   358→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n   359→\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n   360→\t\treturn err\n   361→\t}\n   362→\treturn nil\n   363→}\n   364→\n   365→// RemoveRole removes a role from a user's role list.\n   366→//\n   367→// Special rules:\n   368→//   - Cannot remove \"manager\" role while user has assigned projects\n   369→//   - Must remove all projects first before removing manager role\n   370→func (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n   371→\toldRole := strings.ToLower(queryrole)\n   372→\tuser, err := r.GetUser(username)\n   373→\tif err != nil {\n   374→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n   375→\t\treturn err\n   376→\t}\n   377→\n   378→\texists, valid := user.HasValidRole(oldRole)\n   379→\n   380→\tif !valid {\n   381→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n   382→\t}\n   383→\tif !exists {\n   384→\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n   385→\t}\n   386→\n   387→\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n   388→\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n   389→\t}\n   390→\n   391→\tvar newroles []string\n   392→\tfor _, r := range user.Roles {\n   393→\t\tif r != oldRole {\n   394→\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n   395→\t\t}\n   396→\t}\n   397→\n   398→\tmroles, _ := json.Marshal(newroles)\n   399→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n   400→\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n   401→\t\treturn err\n   402→\t}\n   403→\treturn nil\n   404→}\n   405→\n   406→// AddProject assigns a project to a manager user.\n   407→// Only users with the \"manager\" role can have assigned projects.\n   408→//\n   409→// Returns error if:\n   410→//   - User doesn't have manager role\n   411→//   - User already manages the project\n   412→func (r *UserRepository) AddProject(\n   413→\tctx context.Context,\n   414→\tusername string,\n   415→\tproject string,\n   416→) error {\n   417→\tuser, err := r.GetUser(username)\n   418→\tif err != nil {\n   419→\t\treturn err\n   420→\t}\n   421→\n   422→\tif !user.HasRole(schema.RoleManager) {\n   423→\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n   424→\t}\n   425→\n   426→\tif user.HasProject(project) {\n   427→\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n   428→\t}\n   429→\n   430→\tprojects, _ := json.Marshal(append(user.Projects, project))\n   431→\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n   432→\t\treturn err\n   433→\t}\n   434→\n   435→\treturn nil\n   436→}\n   437→\n   438→func (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n   439→\tuser, err := r.GetUser(username)\n   440→\tif err != nil {\n   441→\t\treturn err\n   442→\t}\n   443→\n   444→\tif !user.HasRole(schema.RoleManager) {\n   445→\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n   446→\t}\n   447→\n   448→\tif !user.HasProject(project) {\n   449→\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n   450→\t}\n   451→\n   452→\tvar exists bool\n   453→\tvar newprojects []string\n   454→\tfor _, p := range user.Projects {\n   455→\t\tif p != project {\n   456→\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n   457→\t\t} else {\n   458→\t\t\texists = true\n   459→\t\t}\n   460→\t}\n   461→\n   462→\tif exists {\n   463→\t\tvar result any\n   464→\t\tif len(newprojects) == 0 {\n   465→\t\t\tresult = \"[]\"\n   466→\t\t} else {\n   467→\t\t\tresult, _ = json.Marshal(newprojects)\n   468→\t\t}\n   469→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n   470→\t\t\treturn err\n   471→\t\t}\n   472→\t\treturn nil\n   473→\t} else {\n   474→\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n   475→\t}\n   476→}\n   477→\n   478→type ContextKey string\n   479→\n   480→const ContextUserKey ContextKey = \"user\"\n   481→\n   482→func GetUserFromContext(ctx context.Context) *schema.User {\n   483→\tx := ctx.Value(ContextUserKey)\n   484→\tif x == nil {\n   485→\t\tcclog.Warnf(\"no user retrieved from context\")\n   486→\t\treturn nil\n   487→\t}\n   488→\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n   489→\treturn x.(*schema.User)\n   490→}\n   491→\n   492→func (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n   493→\tme := GetUserFromContext(ctx)\n   494→\tif me != nil && me.Username != username &&\n   495→\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n   496→\t\treturn nil, errors.New(\"forbidden\")\n   497→\t}\n   498→\n   499→\tuser := &model.User{Username: username}\n   500→\tvar name, email sql.NullString\n   501→\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n   502→\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n   503→\t\tif err == sql.ErrNoRows {\n   504→\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n   505→\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n   506→\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n   507→\t\t\treturn nil, nil\n   508→\t\t}\n   509→\n   510→\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n   511→\t\treturn nil, err\n   512→\t}\n   513→\n   514→\tuser.Name = name.String\n   515→\tuser.Email = email.String\n   516→\treturn user, nil\n   517→}\n   518→"}]},"uuid":"acc33023-5fb3-4a2e-bc0a-09f9a5175147","timestamp":"2026-03-16T10:18:44.100Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"cf0bd62a-75bb-4783-80e7-f26ff298ad36","timestamp":"2026-03-16T10:18:44.100Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"d570e5c0-22d1-45a6-a985-b96261b56ea9","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HdDYxxDmAcUknFk1iAMFhS","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package repository provides data access and persistence layer for ClusterCockpit.\n     7→//\n     8→// This file implements tag management functionality for job categorization and classification.\n     9→// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n    10→// (via tagger plugins). The implementation includes role-based access control through\n    11→// tag scopes and maintains bidirectional consistency between the SQL database and\n    12→// the file-based job archive.\n    13→//\n    14→// Database Schema:\n    15→//\n    16→//\tCREATE TABLE tag (\n    17→//\t    id INTEGER PRIMARY KEY AUTOINCREMENT,\n    18→//\t    tag_type VARCHAR(255) NOT NULL,\n    19→//\t    tag_name VARCHAR(255) NOT NULL,\n    20→//\t    tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n    21→//\t    CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n    22→//\t);\n    23→//\n    24→//\tCREATE TABLE jobtag (\n    25→//\t    job_id INTEGER,\n    26→//\t    tag_id INTEGER,\n    27→//\t    PRIMARY KEY (job_id, tag_id),\n    28→//\t    FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n    29→//\t    FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n    30→//\t);\n    31→//\n    32→// The jobtag junction table enables many-to-many relationships between jobs and tags.\n    33→// CASCADE deletion ensures referential integrity when jobs or tags are removed.\n    34→package repository\n    35→\n    36→import (\n    37→\t\"errors\"\n    38→\t\"fmt\"\n    39→\t\"strings\"\n    40→\n    41→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    42→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    43→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    44→\tsq \"github.com/Masterminds/squirrel\"\n    45→)\n    46→\n    47→// Tag Scope Rules:\n    48→//\n    49→// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n    50→//\n    51→//  1. \"global\" - Visible to all users, can be used by anyone\n    52→//     Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n    53→//\n    54→//  2. \"private\" - Only visible to the creating user\n    55→//     Example: Personal notes like \"needs-review\", \"interesting-case\"\n    56→//\n    57→//  3. \"admin\" - Only visible to users with admin or support roles\n    58→//     Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n    59→//\n    60→// Authorization Rules:\n    61→//   - Regular users can only create/see \"global\" and their own \"private\" tags\n    62→//   - Admin/Support can create/see all scopes including \"admin\" tags\n    63→//   - Users can only add tags to jobs they have permission to view\n    64→//   - Tag scope is enforced at query time in GetTags() and CountTags()\n    65→\n    66→// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n    67→// Requires user authentication for security checks.\n    68→//\n    69→// The user must have permission to view the job. Tag visibility is determined by scope:\n    70→//   - \"global\" tags: visible to all users\n    71→//   - \"private\" tags: only visible to the tag creator\n    72→//   - \"admin\" tags: only visible to admin/support users\n    73→func (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n    74→\tj, err := r.FindByIDWithUser(user, job)\n    75→\tif err != nil {\n    76→\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n    77→\t\treturn nil, err\n    78→\t}\n    79→\n    80→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n    81→\t\treturn r.GetTags(user, &job)\n    82→\t})\n    83→}\n    84→\n    85→// AddTagDirect adds a tag without user security checks.\n    86→// Use only for internal/admin operations.\n    87→func (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n    88→\tj, err := r.FindByIDDirect(job)\n    89→\tif err != nil {\n    90→\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n    91→\t\treturn nil, err\n    92→\t}\n    93→\n    94→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n    95→\t\treturn r.GetTagsDirect(&job)\n    96→\t})\n    97→}\n    98→\n    99→// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n   100→// Requires user authentication for security checks. Used by GraphQL API.\n   101→func (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n   102→\tj, err := r.FindByIDWithUser(user, job)\n   103→\tif err != nil {\n   104→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n   105→\t\treturn nil, err\n   106→\t}\n   107→\n   108→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n   109→\n   110→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   111→\t\ts, _, _ := q.ToSql()\n   112→\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n   113→\t\treturn nil, err\n   114→\t}\n   115→\n   116→\ttags, err := r.GetTags(user, &job)\n   117→\tif err != nil {\n   118→\t\tcclog.Warn(\"Error while getting tags for job\")\n   119→\t\treturn nil, err\n   120→\t}\n   121→\n   122→\tarchiveTags, err := r.getArchiveTags(&job)\n   123→\tif err != nil {\n   124→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n   125→\t\treturn nil, err\n   126→\t}\n   127→\n   128→\treturn tags, archive.UpdateTags(j, archiveTags)\n   129→}\n   130→\n   131→// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n   132→// Requires user authentication for security checks. Used by REST API.\n   133→func (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n   134→\t// Get Tag ID to delete\n   135→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   136→\tif !exists {\n   137→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   138→\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   139→\t}\n   140→\n   141→\t// Get Job\n   142→\tj, err := r.FindByIDWithUser(user, job)\n   143→\tif err != nil {\n   144→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n   145→\t\treturn nil, err\n   146→\t}\n   147→\n   148→\t// Handle Delete\n   149→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n   150→\n   151→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   152→\t\ts, _, _ := q.ToSql()\n   153→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n   154→\t\treturn nil, err\n   155→\t}\n   156→\n   157→\ttags, err := r.GetTags(user, &job)\n   158→\tif err != nil {\n   159→\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n   160→\t\treturn nil, err\n   161→\t}\n   162→\n   163→\tarchiveTags, err := r.getArchiveTags(&job)\n   164→\tif err != nil {\n   165→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n   166→\t\treturn nil, err\n   167→\t}\n   168→\n   169→\treturn tags, archive.UpdateTags(j, archiveTags)\n   170→}\n   171→\n   172→// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n   173→//\n   174→// This function is called asynchronously (via goroutine) after removing a tag from the database\n   175→// to synchronize the file-based job archive with the database state. Errors are logged but not\n   176→// returned since this runs in the background.\n   177→//\n   178→// Parameters:\n   179→//   - jobIds: Database IDs of all jobs that had the deleted tag\n   180→//\n   181→// Implementation note: Each job is processed individually to handle partial failures gracefully.\n   182→// If one job fails to update, others will still be processed.\n   183→func (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n   184→\tfor _, j := range jobIds {\n   185→\t\ttags, err := r.getArchiveTags(&j)\n   186→\t\tif err != nil {\n   187→\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n   188→\t\t\tcontinue\n   189→\t\t}\n   190→\n   191→\t\tjob, err := r.FindByIDDirect(j)\n   192→\t\tif err != nil {\n   193→\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n   194→\t\t\tcontinue\n   195→\t\t}\n   196→\n   197→\t\tarchive.UpdateTags(job, tags)\n   198→\t}\n   199→}\n   200→\n   201→// Removes a tag from db by tag info\n   202→// Used by REST API. Does not update tagged jobs in Job archive.\n   203→func (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n   204→\t// Get Tag ID to delete\n   205→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   206→\tif !exists {\n   207→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   208→\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   209→\t}\n   210→\n   211→\treturn r.RemoveTagByID(tagID)\n   212→}\n   213→\n   214→// Removes a tag from db by tag id\n   215→// Used by GraphQL API.\n   216→func (r *JobRepository) RemoveTagByID(tagID int64) error {\n   217→\tjobIds, err := r.FindJobIdsByTag(tagID)\n   218→\tif err != nil {\n   219→\t\treturn err\n   220→\t}\n   221→\n   222→\t// Handle Delete JobTagTable\n   223→\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n   224→\n   225→\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n   226→\t\ts, _, _ := qJobTag.ToSql()\n   227→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n   228→\t\treturn err\n   229→\t}\n   230→\n   231→\t// Handle Delete TagTable\n   232→\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n   233→\n   234→\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n   235→\t\ts, _, _ := qTag.ToSql()\n   236→\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n   237→\t\treturn err\n   238→\t}\n   239→\n   240→\t// asynchronously update archive jobs\n   241→\tgo r.removeTagFromArchiveJobs(jobIds)\n   242→\n   243→\treturn nil\n   244→}\n   245→\n   246→// CreateTag creates a new tag with the specified type, name, and scope.\n   247→// Returns the database ID of the newly created tag.\n   248→//\n   249→// Scope defaults to \"global\" if empty string is provided.\n   250→// Valid scopes: \"global\", \"private\", \"admin\"\n   251→//\n   252→// Example:\n   253→//\n   254→//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\n   255→func (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n   256→\t// Default to \"Global\" scope if none defined\n   257→\tif tagScope == \"\" {\n   258→\t\ttagScope = \"global\"\n   259→\t}\n   260→\n   261→\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n   262→\n   263→\tres, err := q.RunWith(r.stmtCache).Exec()\n   264→\tif err != nil {\n   265→\t\ts, _, _ := q.ToSql()\n   266→\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n   267→\t\treturn 0, err\n   268→\t}\n   269→\n   270→\treturn res.LastInsertId()\n   271→}\n   272→\n   273→// CountTags returns all tags visible to the user and the count of jobs for each tag.\n   274→// Applies scope-based filtering to respect tag visibility rules.\n   275→//\n   276→// Returns:\n   277→//   - tags: slice of tags the user can see\n   278→//   - counts: map of tag name to job count\n   279→//   - err: any error encountered\n   280→func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n   281→\ttags = make([]schema.Tag, 0, 100)\n   282→\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n   283→\tif err != nil {\n   284→\t\treturn nil, nil, err\n   285→\t}\n   286→\tdefer xrows.Close()\n   287→\n   288→\tfor xrows.Next() {\n   289→\t\tvar t schema.Tag\n   290→\t\tif err = xrows.StructScan(&t); err != nil {\n   291→\t\t\treturn nil, nil, err\n   292→\t\t}\n   293→\n   294→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n   295→\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n   296→\t\tif err != nil {\n   297→\t\t\treturn nil, nil, err\n   298→\t\t}\n   299→\t\tif readable {\n   300→\t\t\ttags = append(tags, t)\n   301→\t\t}\n   302→\t}\n   303→\n   304→\tif err := xrows.Err(); err != nil {\n   305→\t\treturn nil, nil, err\n   306→\t}\n   307→\n   308→\t// Query and Count Jobs with attached Tags\n   309→\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n   310→\t\tFrom(\"tag t\").\n   311→\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n   312→\t\tGroupBy(\"t.tag_type, t.tag_name\")\n   313→\n   314→\t// Build scope list for filtering\n   315→\tvar scopeBuilder strings.Builder\n   316→\tscopeBuilder.WriteString(`\"global\"`)\n   317→\tif user != nil {\n   318→\t\tscopeBuilder.WriteString(`,\"`)\n   319→\t\tscopeBuilder.WriteString(user.Username)\n   320→\t\tscopeBuilder.WriteString(`\"`)\n   321→\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n   322→\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n   323→\t\t}\n   324→\t}\n   325→\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n   326→\n   327→\t// Handle Job Ownership\n   328→\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n   329→\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n   330→\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n   331→\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n   332→\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n   333→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n   334→\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n   335→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n   336→\t}\n   337→\n   338→\trows, err := q.RunWith(r.stmtCache).Query()\n   339→\tif err != nil {\n   340→\t\treturn nil, nil, err\n   341→\t}\n   342→\tdefer rows.Close()\n   343→\n   344→\tcounts = make(map[string]int)\n   345→\tfor rows.Next() {\n   346→\t\tvar tagType string\n   347→\t\tvar tagName string\n   348→\t\tvar tagID int\n   349→\t\tvar count int\n   350→\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n   351→\t\t\treturn nil, nil, err\n   352→\t\t}\n   353→\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n   354→\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n   355→\t}\n   356→\terr = rows.Err()\n   357→\n   358→\treturn tags, counts, err\n   359→}\n   360→\n   361→var (\n   362→\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n   363→\tErrTagNotFound = errors.New(\"the tag does not exist\")\n   364→\n   365→\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n   366→\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n   367→\n   368→\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n   369→\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n   370→\n   371→\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n   372→\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n   373→\n   374→\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n   375→\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n   376→\n   377→\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n   378→\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n   379→)\n   380→\n   381→// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n   382→//\n   383→// This function performs three operations atomically:\n   384→//  1. Inserts the job-tag association into the jobtag junction table\n   385→//  2. Retrieves the updated tag list for the job (using the provided getTags callback)\n   386→//  3. Updates the job archive with the new tags to maintain database-archive consistency\n   387→//\n   388→// Parameters:\n   389→//   - jobId: Database ID of the job\n   390→//   - tagId: Database ID of the tag to associate\n   391→//   - job: Full job object needed for archive update\n   392→//   - getTags: Callback function to retrieve updated tags (allows different security contexts)\n   393→//\n   394→// Returns the complete updated tag list for the job or an error.\n   395→//\n   396→// Note: This function does NOT validate tag scope permissions - callers must perform\n   397→// authorization checks before invoking this helper.\n   398→func (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n   399→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n   400→\n   401→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   402→\t\ts, _, _ := q.ToSql()\n   403→\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n   404→\t\treturn nil, err\n   405→\t}\n   406→\n   407→\ttags, err := getTags()\n   408→\tif err != nil {\n   409→\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n   410→\t\treturn nil, err\n   411→\t}\n   412→\n   413→\tarchiveTags, err := r.getArchiveTags(&jobID)\n   414→\tif err != nil {\n   415→\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n   416→\t\treturn nil, err\n   417→\t}\n   418→\n   419→\treturn tags, archive.UpdateTags(job, archiveTags)\n   420→}\n   421→\n   422→// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n   423→// If such a tag does not yet exist, it is created.\n   424→func (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n   425→\t// Default to \"Global\" scope if none defined\n   426→\tif tagScope == \"\" {\n   427→\t\ttagScope = \"global\"\n   428→\t}\n   429→\n   430→\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n   431→\tif err != nil {\n   432→\t\treturn 0, err\n   433→\t}\n   434→\tif !writable {\n   435→\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n   436→\t}\n   437→\n   438→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   439→\tif !exists {\n   440→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n   441→\t\tif err != nil {\n   442→\t\t\treturn 0, err\n   443→\t\t}\n   444→\t}\n   445→\n   446→\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n   447→\t\treturn 0, err\n   448→\t}\n   449→\n   450→\treturn tagID, nil\n   451→}\n   452→\n   453→func (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n   454→\ttagScope := \"global\"\n   455→\n   456→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   457→\tif !exists {\n   458→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n   459→\t\tif err != nil {\n   460→\t\t\treturn 0, err\n   461→\t\t}\n   462→\t}\n   463→\n   464→\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n   465→\n   466→\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n   467→\t\treturn 0, err\n   468→\t}\n   469→\n   470→\treturn tagID, nil\n   471→}\n   472→\n   473→func (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n   474→\tvar id int64\n   475→\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n   476→\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n   477→\t\tWhere(\"tag.tag_name = ?\", tagName)\n   478→\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n   479→\tif err != nil {\n   480→\t\treturn false\n   481→\t} else {\n   482→\t\treturn true\n   483→\t}\n   484→}\n   485→\n   486→// TagID returns the database id of the tag with the specified type and name.\n   487→func (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n   488→\texists = true\n   489→\tif err := sq.Select(\"id\").From(\"tag\").\n   490→\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n   491→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n   492→\t\texists = false\n   493→\t}\n   494→\treturn\n   495→}\n   496→\n   497→// TagInfo returns the database infos of the tag with the specified id.\n   498→func (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n   499→\texists = true\n   500→\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n   501→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n   502→\t\texists = false\n   503→\t}\n   504→\treturn\n   505→}\n   506→\n   507→// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\n   508→func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n   509→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n   510→\tif job != nil {\n   511→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n   512→\t}\n   513→\n   514→\trows, err := q.RunWith(r.stmtCache).Query()\n   515→\tif err != nil {\n   516→\t\ts, _, _ := q.ToSql()\n   517→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n   518→\t\treturn nil, err\n   519→\t}\n   520→\tdefer rows.Close()\n   521→\n   522→\ttags := make([]*schema.Tag, 0)\n   523→\tfor rows.Next() {\n   524→\t\ttag := &schema.Tag{}\n   525→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n   526→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n   527→\t\t\treturn nil, err\n   528→\t\t}\n   529→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n   530→\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n   531→\t\tif err != nil {\n   532→\t\t\treturn nil, err\n   533→\t\t}\n   534→\t\tif readable {\n   535→\t\t\ttags = append(tags, tag)\n   536→\t\t}\n   537→\t}\n   538→\n   539→\tif err := rows.Err(); err != nil {\n   540→\t\treturn nil, err\n   541→\t}\n   542→\n   543→\treturn tags, nil\n   544→}\n   545→\n   546→func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n   547→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n   548→\tif job != nil {\n   549→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n   550→\t}\n   551→\n   552→\trows, err := q.RunWith(r.stmtCache).Query()\n   553→\tif err != nil {\n   554→\t\ts, _, _ := q.ToSql()\n   555→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n   556→\t\treturn nil, err\n   557→\t}\n   558→\tdefer rows.Close()\n   559→\n   560→\ttags := make([]*schema.Tag, 0)\n   561→\tfor rows.Next() {\n   562→\t\ttag := &schema.Tag{}\n   563→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n   564→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n   565→\t\t\treturn nil, err\n   566→\t\t}\n   567→\t\ttags = append(tags, tag)\n   568→\t}\n   569→\n   570→\tif err := rows.Err(); err != nil {\n   571→\t\treturn nil, err\n   572→\t}\n   573→\n   574→\treturn tags, nil\n   575→}\n   576→\n   577→// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n   578→//\n   579→// This internal function is used exclusively for job archive synchronization where we need\n   580→// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n   581→// filters by scope, this returns the complete unfiltered tag list.\n   582→//\n   583→// Parameters:\n   584→//   - job: Pointer to job database ID, or nil to return all tags in the system\n   585→//\n   586→// Returns all tags without scope filtering, used only for archive operations.\n   587→//\n   588→// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\n   589→func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n   590→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n   591→\tif job != nil {\n   592→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n   593→\t}\n   594→\n   595→\trows, err := q.RunWith(r.stmtCache).Query()\n   596→\tif err != nil {\n   597→\t\ts, _, _ := q.ToSql()\n   598→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n   599→\t\treturn nil, err\n   600→\t}\n   601→\tdefer rows.Close()\n   602→\n   603→\ttags := make([]*schema.Tag, 0)\n   604→\tfor rows.Next() {\n   605→\t\ttag := &schema.Tag{}\n   606→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n   607→\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n   608→\t\t\treturn nil, err\n   609→\t\t}\n   610→\t\ttags = append(tags, tag)\n   611→\t}\n   612→\n   613→\tif err := rows.Err(); err != nil {\n   614→\t\treturn nil, err\n   615→\t}\n   616→\n   617→\treturn tags, nil\n   618→}\n   619→\n   620→func (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n   621→\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n   622→\n   623→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   624→\tif !exists {\n   625→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n   626→\t\tif err != nil {\n   627→\t\t\treturn err\n   628→\t\t}\n   629→\t}\n   630→\n   631→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n   632→\n   633→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   634→\t\ts, _, _ := q.ToSql()\n   635→\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n   636→\t\treturn err\n   637→\t}\n   638→\n   639→\treturn nil\n   640→}\n   641→\n   642→// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n   643→//\n   644→// This function implements the tag scope authorization matrix:\n   645→//\n   646→//\tScope        | Read Access                      | Write Access\n   647→//\t-------------|----------------------------------|----------------------------------\n   648→//\t\"global\"     | All users                        | Admin, Support, API-only\n   649→//\t\"admin\"      | Admin, Support                   | Admin, API-only\n   650→//\t<username>   | Owner only                       | Owner only (private tags)\n   651→//\n   652→// Parameters:\n   653→//   - user: User attempting the operation (must not be nil)\n   654→//   - operation: Either \"read\" or \"write\"\n   655→//   - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n   656→//\n   657→// Returns:\n   658→//   - pass: true if authorized, false if denied\n   659→//   - err: error only if operation is invalid or user is nil\n   660→//\n   661→// Special cases:\n   662→//   - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n   663→//   - Private tags use the username as scope, granting exclusive access to that user\n   664→func (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n   665→\tif user != nil {\n   666→\t\tswitch {\n   667→\t\tcase operation == \"write\" && scope == \"admin\":\n   668→\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n   669→\t\t\t\treturn true, nil\n   670→\t\t\t}\n   671→\t\t\treturn false, nil\n   672→\t\tcase operation == \"write\" && scope == \"global\":\n   673→\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n   674→\t\t\t\treturn true, nil\n   675→\t\t\t}\n   676→\t\t\treturn false, nil\n   677→\t\tcase operation == \"write\" && scope == user.Username:\n   678→\t\t\treturn true, nil\n   679→\t\tcase operation == \"read\" && scope == \"admin\":\n   680→\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n   681→\t\tcase operation == \"read\" && scope == \"global\":\n   682→\t\t\treturn true, nil\n   683→\t\tcase operation == \"read\" && scope == user.Username:\n   684→\t\t\treturn true, nil\n   685→\t\tdefault:\n   686→\t\t\tif operation == \"read\" || operation == \"write\" {\n   687→\t\t\t\t// No acceptable scope: deny tag\n   688→\t\t\t\treturn false, nil\n   689→\t\t\t} else {\n   690→\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n   691→\t\t\t}\n   692→\t\t}\n   693→\t} else {\n   694→\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n   695→\t}\n   696→}\n   697→"}]},"uuid":"dce1da07-9465-4eba-87c1-bb17e6daa7b0","timestamp":"2026-03-16T10:18:44.263Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"71b5559a-4f3b-4888-87a3-f075dfb7104b","timestamp":"2026-03-16T10:18:44.281Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"71b5559a-4f3b-4888-87a3-f075dfb7104b","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"Explore the cc-backend codebase to find all periodic/scheduled tasks and background goroutines that write to the SQLite database. Look for:\n\n1. Goroutines started with `go func()` that do DB writes\n2. Ticker/timer-based loops that write to the DB\n3. Archiving operations that write to the DB\n4. Retention/cleanup operations\n5. Any cron-like scheduled operations\n\nSearch in:\n- cmd/cc-backend/ (main entry point, initialization)\n- internal/archiver/\n- internal/taskmanager/ or similar\n- internal/repository/\n- Any file with \"schedule\", \"ticker\", \"cron\", \"periodic\", \"retention\", \"cleanup\" patterns\n\nFor each, note the frequency, what DB operations it performs, and whether those operations are already batched/transacted.\n\nAlso look at the REST API file internal/api/rest.go to understand all registered routes and which ones do DB writes."}]},"uuid":"666d3bf2-3ccd-4a3d-9642-56e3e610c7c7","timestamp":"2026-03-16T10:18:44.103Z"},"type":"agent_progress","prompt":"Explore the cc-backend codebase to find all periodic/scheduled tasks and background goroutines that write to the SQLite database. Look for:\n\n1. Goroutines started with `go func()` that do DB writes\n2. Ticker/timer-based loops that write to the DB\n3. Archiving operations that write to the DB\n4. Retention/cleanup operations\n5. Any cron-like scheduled operations\n\nSearch in:\n- cmd/cc-backend/ (main entry point, initialization)\n- internal/archiver/\n- internal/taskmanager/ or similar\n- internal/repository/\n- Any file with \"schedule\", \"ticker\", \"cron\", \"periodic\", \"retention\", \"cleanup\" patterns\n\nFor each, note the frequency, what DB operations it performs, and whether those operations are already batched/transacted.\n\nAlso look at the REST API file internal/api/rest.go to understand all registered routes and which ones do DB writes.","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"3bb2055e-b1af-44b3-ac27-43a4a74de4ab","timestamp":"2026-03-16T10:18:44.103Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"66ee3e7a-1bf9-4195-8e01-4bfaca3bdd4c","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Kq2UVbVdsFHMVNU1tw4F54","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"database/sql\"\n    11→\t\"encoding/json\"\n    12→\t\"fmt\"\n    13→\t\"slices\"\n    14→\t\"sort\"\n    15→\t\"strings\"\n    16→\t\"sync\"\n    17→\t\"time\"\n    18→\n    19→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    20→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n    23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    24→\tsq \"github.com/Masterminds/squirrel\"\n    25→\t\"github.com/jmoiron/sqlx\"\n    26→)\n    27→\n    28→var (\n    29→\tnodeRepoOnce     sync.Once\n    30→\tnodeRepoInstance *NodeRepository\n    31→)\n    32→\n    33→type NodeRepository struct {\n    34→\tDB        *sqlx.DB\n    35→\tstmtCache *sq.StmtCache\n    36→\tcache     *lrucache.Cache\n    37→\tdriver    string\n    38→}\n    39→\n    40→func GetNodeRepository() *NodeRepository {\n    41→\tnodeRepoOnce.Do(func() {\n    42→\t\tdb := GetConnection()\n    43→\n    44→\t\tnodeRepoInstance = &NodeRepository{\n    45→\t\t\tDB:     db.DB,\n    46→\t\t\tdriver: db.Driver,\n    47→\n    48→\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n    49→\t\t\tcache:     lrucache.New(repoConfig.CacheSize),\n    50→\t\t}\n    51→\t})\n    52→\treturn nodeRepoInstance\n    53→}\n    54→\n    55→// latestStateCondition returns a squirrel expression that restricts node_state\n    56→// rows to the latest per node_id using a correlated subquery.\n    57→// Requires the query to join node and node_state tables.\n    58→func latestStateCondition() sq.Sqlizer {\n    59→\treturn sq.Expr(\n    60→\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n    61→\t)\n    62→}\n    63→\n    64→// applyNodeFilters applies common NodeFilter conditions to a query that joins\n    65→// the node and node_state tables with latestStateCondition.\n    66→func applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n    67→\tfor _, f := range filters {\n    68→\t\tif f.Cluster != nil {\n    69→\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n    70→\t\t}\n    71→\t\tif f.SubCluster != nil {\n    72→\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n    73→\t\t}\n    74→\t\tif f.Hostname != nil {\n    75→\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n    76→\t\t}\n    77→\t\tif f.SchedulerState != nil {\n    78→\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n    79→\t\t}\n    80→\t\tif f.HealthState != nil {\n    81→\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n    82→\t\t}\n    83→\t}\n    84→\treturn query\n    85→}\n    86→\n    87→func (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n    88→\tstart := time.Now()\n    89→\n    90→\tRawMetaData := make([]byte, 0)\n    91→\n    92→\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n    93→\t\tWhere(\"node.hostname = ?\", hostname).\n    94→\t\tWhere(\"node.cluster = ?\", cluster).\n    95→\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n    96→\t\tcclog.Warn(\"Error while scanning for node metadata\")\n    97→\t\treturn nil, err\n    98→\t}\n    99→\n   100→\tif len(RawMetaData) == 0 {\n   101→\t\treturn nil, nil\n   102→\t}\n   103→\n   104→\tMetaData := make(map[string]string)\n   105→\n   106→\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n   107→\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n   108→\t\treturn nil, err\n   109→\t}\n   110→\n   111→\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n   112→\treturn MetaData, nil\n   113→}\n   114→\n   115→func (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n   116→\tnode := &schema.Node{}\n   117→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   118→\t\t\"node_state.node_state\", \"node_state.health_state\").\n   119→\t\tFrom(\"node\").\n   120→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   121→\t\tWhere(latestStateCondition()).\n   122→\t\tWhere(\"node.hostname = ?\", hostname).\n   123→\t\tWhere(\"node.cluster = ?\", cluster).\n   124→\t\tRunWith(r.DB).\n   125→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n   126→\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n   127→\t\treturn nil, err\n   128→\t}\n   129→\n   130→\tif withMeta {\n   131→\t\tvar err error\n   132→\t\tvar meta map[string]string\n   133→\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n   134→\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n   135→\t\t\treturn nil, err\n   136→\t\t}\n   137→\t\tnode.MetaData = meta\n   138→\t}\n   139→\n   140→\treturn node, nil\n   141→}\n   142→\n   143→func (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n   144→\tnode := &schema.Node{}\n   145→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   146→\t\t\"node_state.node_state\", \"node_state.health_state\").\n   147→\t\tFrom(\"node\").\n   148→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   149→\t\tWhere(latestStateCondition()).\n   150→\t\tWhere(\"node.id = ?\", id).\n   151→\t\tRunWith(r.DB).\n   152→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n   153→\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n   154→\t\treturn nil, err\n   155→\t}\n   156→\n   157→\tif withMeta {\n   158→\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n   159→\t\tif metaErr != nil {\n   160→\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n   161→\t\t\treturn nil, metaErr\n   162→\t\t}\n   163→\t\tnode.MetaData = meta\n   164→\t}\n   165→\n   166→\treturn node, nil\n   167→}\n   168→\n   169→// const NamedNodeInsert string = `\n   170→// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n   171→//\n   172→//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n   173→//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n   174→//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n   175→\n   176→const NamedNodeInsert string = `\n   177→INSERT INTO node (hostname, cluster, subcluster)\n   178→\tVALUES (:hostname, :cluster, :subcluster);`\n   179→\n   180→// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n   181→// from a nodestate update from the job scheduler.\n   182→func (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n   183→\tvar err error\n   184→\n   185→\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n   186→\tif err != nil {\n   187→\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n   188→\t\treturn 0, err\n   189→\t}\n   190→\tnode.ID, err = res.LastInsertId()\n   191→\tif err != nil {\n   192→\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n   193→\t\treturn 0, err\n   194→\t}\n   195→\n   196→\treturn node.ID, nil\n   197→}\n   198→\n   199→const NamedNodeStateInsert string = `\n   200→INSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n   201→\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n   202→\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n   203→\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n   204→\n   205→// TODO: Add real Monitoring Health State\n   206→\n   207→// UpdateNodeState is called from the Node REST API to add a row in the node state table\n   208→func (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n   209→\tvar id int64\n   210→\n   211→\tif err := sq.Select(\"id\").From(\"node\").\n   212→\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n   213→\t\tQueryRow().Scan(&id); err != nil {\n   214→\t\tif err == sql.ErrNoRows {\n   215→\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n   216→\t\t\tif err != nil {\n   217→\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n   218→\t\t\t\treturn err\n   219→\t\t\t}\n   220→\t\t\tnode := schema.NodeDB{\n   221→\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n   222→\t\t\t}\n   223→\t\t\tid, err = r.AddNode(&node)\n   224→\t\t\tif err != nil {\n   225→\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n   226→\t\t\t\treturn err\n   227→\t\t\t}\n   228→\n   229→\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n   230→\t\t} else {\n   231→\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n   232→\t\t\treturn err\n   233→\t\t}\n   234→\t}\n   235→\n   236→\tnodeState.NodeID = id\n   237→\n   238→\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n   239→\tif err != nil {\n   240→\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n   241→\t\treturn err\n   242→\t}\n   243→\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n   244→\treturn nil\n   245→}\n   246→\n   247→// NodeStateUpdate holds the data needed to update one node's state in a batch operation.\n   248→type NodeStateUpdate struct {\n   249→\tHostname  string\n   250→\tCluster   string\n   251→\tNodeState *schema.NodeStateDB\n   252→}\n   253→\n   254→// BatchUpdateNodeStates inserts node state rows for multiple nodes in a single transaction.\n   255→// For each node, it looks up (or creates) the node row, then inserts the state row.\n   256→// This reduces lock acquisitions from 2*N to 1 for N nodes.\n   257→func (r *NodeRepository) BatchUpdateNodeStates(updates []NodeStateUpdate) error {\n   258→\ttx, err := r.DB.Beginx()\n   259→\tif err != nil {\n   260→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: begin transaction: %w\", err)\n   261→\t}\n   262→\tdefer tx.Rollback()\n   263→\n   264→\tstmtLookup, err := tx.Preparex(\"SELECT id FROM node WHERE hostname = ? AND cluster = ?\")\n   265→\tif err != nil {\n   266→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare lookup: %w\", err)\n   267→\t}\n   268→\tdefer stmtLookup.Close()\n   269→\n   270→\tstmtInsertNode, err := tx.PrepareNamed(NamedNodeInsert)\n   271→\tif err != nil {\n   272→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare node insert: %w\", err)\n   273→\t}\n   274→\tdefer stmtInsertNode.Close()\n   275→\n   276→\tstmtInsertState, err := tx.PrepareNamed(NamedNodeStateInsert)\n   277→\tif err != nil {\n   278→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare state insert: %w\", err)\n   279→\t}\n   280→\tdefer stmtInsertState.Close()\n   281→\n   282→\tfor _, u := range updates {\n   283→\t\tvar id int64\n   284→\t\tif err := stmtLookup.QueryRow(u.Hostname, u.Cluster).Scan(&id); err != nil {\n   285→\t\t\tif err == sql.ErrNoRows {\n   286→\t\t\t\tsubcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)\n   287→\t\t\t\tif scErr != nil {\n   288→\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: subcluster lookup for '%s' in '%s': %v\", u.Hostname, u.Cluster, scErr)\n   289→\t\t\t\t\tcontinue\n   290→\t\t\t\t}\n   291→\t\t\t\tnode := schema.NodeDB{\n   292→\t\t\t\t\tHostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,\n   293→\t\t\t\t}\n   294→\t\t\t\tres, insertErr := stmtInsertNode.Exec(&node)\n   295→\t\t\t\tif insertErr != nil {\n   296→\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)\n   297→\t\t\t\t\tcontinue\n   298→\t\t\t\t}\n   299→\t\t\t\tid, _ = res.LastInsertId()\n   300→\t\t\t} else {\n   301→\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: lookup node '%s': %v\", u.Hostname, err)\n   302→\t\t\t\tcontinue\n   303→\t\t\t}\n   304→\t\t}\n   305→\n   306→\t\tu.NodeState.NodeID = id\n   307→\t\tif _, err := stmtInsertState.Exec(u.NodeState); err != nil {\n   308→\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert state for '%s': %v\", u.Hostname, err)\n   309→\t\t}\n   310→\t}\n   311→\n   312→\tif err := tx.Commit(); err != nil {\n   313→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: commit: %w\", err)\n   314→\t}\n   315→\treturn nil\n   316→}\n   317→\n   318→// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n   319→// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n   320→// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n   321→// \t\treturn err\n   322→// \t}\n   323→//\n   324→// \treturn nil\n   325→// }\n   326→\n   327→// NodeStateWithNode combines a node state row with denormalized node info.\n   328→type NodeStateWithNode struct {\n   329→\tID              int64  `db:\"id\"`\n   330→\tTimeStamp       int64  `db:\"time_stamp\"`\n   331→\tNodeState       string `db:\"node_state\"`\n   332→\tHealthState     string `db:\"health_state\"`\n   333→\tHealthMetrics   string `db:\"health_metrics\"`\n   334→\tCpusAllocated   int    `db:\"cpus_allocated\"`\n   335→\tMemoryAllocated int64  `db:\"memory_allocated\"`\n   336→\tGpusAllocated   int    `db:\"gpus_allocated\"`\n   337→\tJobsRunning     int    `db:\"jobs_running\"`\n   338→\tHostname        string `db:\"hostname\"`\n   339→\tCluster         string `db:\"cluster\"`\n   340→\tSubCluster      string `db:\"subcluster\"`\n   341→}\n   342→\n   343→// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n   344→// joined with node info for denormalized archiving.\n   345→func (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n   346→\trows, err := sq.Select(\n   347→\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n   348→\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n   349→\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n   350→\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n   351→\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   352→\t).\n   353→\t\tFrom(\"node_state\").\n   354→\t\tJoin(\"node ON node_state.node_id = node.id\").\n   355→\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n   356→\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n   357→\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n   358→\t\tRunWith(r.DB).Query()\n   359→\tif err != nil {\n   360→\t\treturn nil, err\n   361→\t}\n   362→\tdefer rows.Close()\n   363→\n   364→\tvar result []NodeStateWithNode\n   365→\tfor rows.Next() {\n   366→\t\tvar ns NodeStateWithNode\n   367→\t\tvar healthMetrics sql.NullString\n   368→\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n   369→\t\t\t&ns.HealthState, &healthMetrics,\n   370→\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n   371→\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n   372→\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n   373→\t\t\treturn nil, err\n   374→\t\t}\n   375→\t\tns.HealthMetrics = healthMetrics.String\n   376→\t\tresult = append(result, ns)\n   377→\t}\n   378→\treturn result, nil\n   379→}\n   380→\n   381→// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n   382→// but always preserves the row with the latest timestamp per node_id.\n   383→func (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n   384→\tres, err := r.DB.Exec(\n   385→\t\t`DELETE FROM node_state WHERE time_stamp < ?\n   386→\t\t AND id NOT IN (\n   387→\t\t   SELECT id FROM node_state ns2\n   388→\t\t   WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n   389→\t\t )`,\n   390→\t\tcutoff,\n   391→\t)\n   392→\tif err != nil {\n   393→\t\treturn 0, err\n   394→\t}\n   395→\treturn res.RowsAffected()\n   396→}\n   397→\n   398→func (r *NodeRepository) DeleteNode(id int64) error {\n   399→\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n   400→\tif err != nil {\n   401→\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n   402→\t\treturn err\n   403→\t}\n   404→\tcclog.Infof(\"deleted node '%d' from DB\", id)\n   405→\treturn nil\n   406→}\n   407→\n   408→// QueryNodes returns a list of nodes based on a node filter. It always operates\n   409→// on the last state (largest timestamp).\n   410→func (r *NodeRepository) QueryNodes(\n   411→\tctx context.Context,\n   412→\tfilters []*model.NodeFilter,\n   413→\tpage *model.PageRequest,\n   414→\torder *model.OrderByInput, // Currently unused!\n   415→) ([]*schema.Node, error) {\n   416→\tquery, qerr := AccessCheck(ctx,\n   417→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   418→\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n   419→\t\t\tFrom(\"node\").\n   420→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   421→\t\t\tWhere(latestStateCondition()))\n   422→\tif qerr != nil {\n   423→\t\treturn nil, qerr\n   424→\t}\n   425→\n   426→\tquery = applyNodeFilters(query, filters)\n   427→\tquery = query.OrderBy(\"node.hostname ASC\")\n   428→\n   429→\tif page != nil && page.ItemsPerPage != -1 {\n   430→\t\tlimit := uint64(page.ItemsPerPage)\n   431→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n   432→\t}\n   433→\n   434→\trows, err := query.RunWith(r.stmtCache).Query()\n   435→\tif err != nil {\n   436→\t\tqueryString, queryVars, _ := query.ToSql()\n   437→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   438→\t\treturn nil, err\n   439→\t}\n   440→\tdefer rows.Close()\n   441→\n   442→\tnodes := make([]*schema.Node, 0)\n   443→\tfor rows.Next() {\n   444→\t\tnode := schema.Node{}\n   445→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n   446→\t\t\t&node.NodeState, &node.HealthState); err != nil {\n   447→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n   448→\t\t\treturn nil, err\n   449→\t\t}\n   450→\t\tnodes = append(nodes, &node)\n   451→\t}\n   452→\n   453→\tif err := rows.Err(); err != nil {\n   454→\t\treturn nil, err\n   455→\t}\n   456→\n   457→\treturn nodes, nil\n   458→}\n   459→\n   460→// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n   461→// on the last state (largest timestamp). It includes both (!) optional JSON column data\n   462→func (r *NodeRepository) QueryNodesWithMeta(\n   463→\tctx context.Context,\n   464→\tfilters []*model.NodeFilter,\n   465→\tpage *model.PageRequest,\n   466→\torder *model.OrderByInput, // Currently unused!\n   467→) ([]*schema.Node, error) {\n   468→\tquery, qerr := AccessCheck(ctx,\n   469→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   470→\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n   471→\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n   472→\t\t\tFrom(\"node\").\n   473→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   474→\t\t\tWhere(latestStateCondition()))\n   475→\tif qerr != nil {\n   476→\t\treturn nil, qerr\n   477→\t}\n   478→\n   479→\tquery = applyNodeFilters(query, filters)\n   480→\tquery = query.OrderBy(\"node.hostname ASC\")\n   481→\n   482→\tif page != nil && page.ItemsPerPage != -1 {\n   483→\t\tlimit := uint64(page.ItemsPerPage)\n   484→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n   485→\t}\n   486→\n   487→\trows, err := query.RunWith(r.stmtCache).Query()\n   488→\tif err != nil {\n   489→\t\tqueryString, queryVars, _ := query.ToSql()\n   490→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   491→\t\treturn nil, err\n   492→\t}\n   493→\tdefer rows.Close()\n   494→\n   495→\tnodes := make([]*schema.Node, 0)\n   496→\tfor rows.Next() {\n   497→\t\tnode := schema.Node{}\n   498→\t\tRawMetaData := make([]byte, 0)\n   499→\t\tRawMetricHealth := make([]byte, 0)\n   500→\n   501→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n   502→\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n   503→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n   504→\t\t\treturn nil, err\n   505→\t\t}\n   506→\n   507→\t\tif len(RawMetaData) == 0 {\n   508→\t\t\tnode.MetaData = nil\n   509→\t\t} else {\n   510→\t\t\tmetaData := make(map[string]string)\n   511→\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n   512→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n   513→\t\t\t\treturn nil, err\n   514→\t\t\t}\n   515→\t\t\tnode.MetaData = metaData\n   516→\t\t}\n   517→\n   518→\t\tif len(RawMetricHealth) == 0 {\n   519→\t\t\tnode.HealthData = nil\n   520→\t\t} else {\n   521→\t\t\thealthData := make(map[string][]string)\n   522→\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n   523→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n   524→\t\t\t\treturn nil, err\n   525→\t\t\t}\n   526→\t\t\tnode.HealthData = healthData\n   527→\t\t}\n   528→\n   529→\t\tnodes = append(nodes, &node)\n   530→\t}\n   531→\n   532→\tif err := rows.Err(); err != nil {\n   533→\t\treturn nil, err\n   534→\t}\n   535→\n   536→\treturn nodes, nil\n   537→}\n   538→\n   539→// CountNodes returns the total matched nodes based on a node filter. It always operates\n   540→// on the last state (largest timestamp) per node.\n   541→func (r *NodeRepository) CountNodes(\n   542→\tctx context.Context,\n   543→\tfilters []*model.NodeFilter,\n   544→) (int, error) {\n   545→\tquery, qerr := AccessCheck(ctx,\n   546→\t\tsq.Select(\"COUNT(*)\").\n   547→\t\t\tFrom(\"node\").\n   548→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   549→\t\t\tWhere(latestStateCondition()))\n   550→\tif qerr != nil {\n   551→\t\treturn 0, qerr\n   552→\t}\n   553→\n   554→\tquery = applyNodeFilters(query, filters)\n   555→\n   556→\tvar count int\n   557→\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n   558→\t\tqueryString, queryVars, _ := query.ToSql()\n   559→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   560→\t\treturn 0, err\n   561→\t}\n   562→\n   563→\treturn count, nil\n   564→}\n   565→\n   566→func (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n   567→\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   568→\t\t\"node_state.node_state\", \"node_state.health_state\").\n   569→\t\tFrom(\"node\").\n   570→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   571→\t\tWhere(latestStateCondition()).\n   572→\t\tWhere(\"node.cluster = ?\", cluster).\n   573→\t\tOrderBy(\"node.hostname ASC\")\n   574→\n   575→\trows, err := q.RunWith(r.DB).Query()\n   576→\tif err != nil {\n   577→\t\tcclog.Warn(\"Error while querying node list\")\n   578→\t\treturn nil, err\n   579→\t}\n   580→\tnodeList := make([]*schema.Node, 0, 100)\n   581→\tdefer rows.Close()\n   582→\tfor rows.Next() {\n   583→\t\tnode := &schema.Node{}\n   584→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n   585→\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n   586→\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n   587→\t\t\treturn nil, err\n   588→\t\t}\n   589→\n   590→\t\tnodeList = append(nodeList, node)\n   591→\t}\n   592→\n   593→\treturn nodeList, nil\n   594→}\n   595→\n   596→func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n   597→\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n   598→\t\tFrom(\"node\").\n   599→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   600→\t\tWhere(latestStateCondition()).\n   601→\t\tWhere(\"node.cluster = ?\", cluster).\n   602→\t\tOrderBy(\"node.hostname ASC\")\n   603→\n   604→\trows, err := q.RunWith(r.DB).Query()\n   605→\tif err != nil {\n   606→\t\tcclog.Warn(\"Error while querying node list\")\n   607→\t\treturn nil, err\n   608→\t}\n   609→\n   610→\tstateMap := make(map[string]string)\n   611→\tdefer rows.Close()\n   612→\tfor rows.Next() {\n   613→\t\tvar hostname, nodestate string\n   614→\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n   615→\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n   616→\t\t\treturn nil, err\n   617→\t\t}\n   618→\n   619→\t\tstateMap[hostname] = nodestate\n   620→\t}\n   621→\n   622→\treturn stateMap, nil\n   623→}\n   624→\n   625→func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n   626→\tquery, qerr := AccessCheck(ctx,\n   627→\t\tsq.Select(column, \"COUNT(*) as count\").\n   628→\t\t\tFrom(\"node\").\n   629→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   630→\t\t\tWhere(latestStateCondition()).\n   631→\t\t\tGroupBy(column))\n   632→\tif qerr != nil {\n   633→\t\treturn nil, qerr\n   634→\t}\n   635→\n   636→\tquery = applyNodeFilters(query, filters)\n   637→\n   638→\trows, err := query.RunWith(r.stmtCache).Query()\n   639→\tif err != nil {\n   640→\t\tqueryString, queryVars, _ := query.ToSql()\n   641→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   642→\t\treturn nil, err\n   643→\t}\n   644→\tdefer rows.Close()\n   645→\n   646→\tnodes := make([]*model.NodeStates, 0)\n   647→\tfor rows.Next() {\n   648→\t\tvar state string\n   649→\t\tvar count int\n   650→\t\tif err := rows.Scan(&state, &count); err != nil {\n   651→\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n   652→\t\t\treturn nil, err\n   653→\t\t}\n   654→\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n   655→\t}\n   656→\n   657→\tif err := rows.Err(); err != nil {\n   658→\t\treturn nil, err\n   659→\t}\n   660→\n   661→\treturn nodes, nil\n   662→}\n   663→\n   664→func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n   665→\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n   666→\tif qerr != nil {\n   667→\t\treturn nil, qerr\n   668→\t}\n   669→\n   670→\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n   671→\n   672→\tfor _, f := range filters {\n   673→\t\t// Required\n   674→\t\tif f.TimeStart != nil {\n   675→\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n   676→\t\t}\n   677→\t\t// Optional\n   678→\t\tif f.Hostname != nil {\n   679→\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n   680→\t\t}\n   681→\t\tif f.Cluster != nil {\n   682→\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n   683→\t\t}\n   684→\t\tif f.SubCluster != nil {\n   685→\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n   686→\t\t}\n   687→\t\tif f.SchedulerState != nil {\n   688→\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n   689→\t\t}\n   690→\t\tif f.HealthState != nil {\n   691→\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n   692→\t\t}\n   693→\t}\n   694→\n   695→\t// Add Group and Order\n   696→\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n   697→\n   698→\trows, err := query.RunWith(r.stmtCache).Query()\n   699→\tif err != nil {\n   700→\t\tqueryString, queryVars, _ := query.ToSql()\n   701→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   702→\t\treturn nil, err\n   703→\t}\n   704→\tdefer rows.Close()\n   705→\n   706→\trawData := make(map[string][][]int)\n   707→\tfor rows.Next() {\n   708→\t\tvar state string\n   709→\t\tvar timestamp, count int\n   710→\n   711→\t\tif err := rows.Scan(&state, &timestamp, &count); err != nil {\n   712→\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n   713→\t\t\treturn nil, err\n   714→\t\t}\n   715→\n   716→\t\tif rawData[state] == nil {\n   717→\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n   718→\t\t}\n   719→\n   720→\t\trawData[state][0] = append(rawData[state][0], timestamp)\n   721→\t\trawData[state][1] = append(rawData[state][1], count)\n   722→\t}\n   723→\n   724→\tif err := rows.Err(); err != nil {\n   725→\t\treturn nil, err\n   726→\t}\n   727→\n   728→\ttimedStates := make([]*model.NodeStatesTimed, 0)\n   729→\tfor state, data := range rawData {\n   730→\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n   731→\t\ttimedStates = append(timedStates, &entry)\n   732→\t}\n   733→\n   734→\treturn timedStates, nil\n   735→}\n   736→\n   737→func (r *NodeRepository) GetNodesForList(\n   738→\tctx context.Context,\n   739→\tcluster string,\n   740→\tsubCluster string,\n   741→\tstateFilter string,\n   742→\tnodeFilter string,\n   743→\tpage *model.PageRequest,\n   744→) ([]string, map[string]string, int, bool, error) {\n   745→\t// Init Return Vars\n   746→\tnodes := make([]string, 0)\n   747→\tstateMap := make(map[string]string)\n   748→\tcountNodes := 0\n   749→\thasNextPage := false\n   750→\n   751→\t// Build Filters\n   752→\tqueryFilters := make([]*model.NodeFilter, 0)\n   753→\tif cluster != \"\" {\n   754→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n   755→\t}\n   756→\tif subCluster != \"\" {\n   757→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n   758→\t}\n   759→\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n   760→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n   761→\t}\n   762→\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n   763→\t\tqueryState := schema.SchedulerState(stateFilter)\n   764→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n   765→\t}\n   766→\t// if healthFilter != \"all\" {\n   767→\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n   768→\t// }\n   769→\n   770→\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n   771→\tvar backupItems int\n   772→\tif stateFilter == \"notindb\" {\n   773→\t\tbackupItems = page.ItemsPerPage\n   774→\t\tpage.ItemsPerPage = -1\n   775→\t}\n   776→\n   777→\t// Query Nodes From DB\n   778→\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n   779→\tif serr != nil {\n   780→\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n   781→\t\treturn nil, nil, 0, false, serr\n   782→\t}\n   783→\n   784→\t// Intermediate Node Result Info\n   785→\tfor _, node := range rawNodes {\n   786→\t\tif node == nil {\n   787→\t\t\tcontinue\n   788→\t\t}\n   789→\t\tnodes = append(nodes, node.Hostname)\n   790→\t\tstateMap[node.Hostname] = string(node.NodeState)\n   791→\t}\n   792→\n   793→\t// Special Case: Find Nodes not in DB node table but in metricStore only\n   794→\tif stateFilter == \"notindb\" {\n   795→\t\t// Reapply Original Paging\n   796→\t\tpage.ItemsPerPage = backupItems\n   797→\t\t// Get Nodes From Topology\n   798→\t\tvar topoNodes []string\n   799→\t\tif subCluster != \"\" {\n   800→\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n   801→\t\t\ttopoNodes = scNodes.PrintList()\n   802→\t\t} else {\n   803→\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n   804→\t\t\tfor _, nodeList := range subClusterNodeLists {\n   805→\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n   806→\t\t\t}\n   807→\t\t}\n   808→\t\t// Compare to all nodes from cluster/subcluster in DB\n   809→\t\tvar missingNodes []string\n   810→\t\tfor _, scanNode := range topoNodes {\n   811→\t\t\tif !slices.Contains(nodes, scanNode) {\n   812→\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n   813→\t\t\t}\n   814→\t\t}\n   815→\t\t// Filter nodes by name\n   816→\t\tif nodeFilter != \"\" {\n   817→\t\t\tfilteredNodesByName := []string{}\n   818→\t\t\tfor _, missingNode := range missingNodes {\n   819→\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n   820→\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n   821→\t\t\t\t}\n   822→\t\t\t}\n   823→\t\t\tmissingNodes = filteredNodesByName\n   824→\t\t}\n   825→\t\t// Sort Missing Nodes Alphanumerically\n   826→\t\tslices.Sort(missingNodes)\n   827→\t\t// Total Missing\n   828→\t\tcountNodes = len(missingNodes)\n   829→\t\t// Apply paging\n   830→\t\tif countNodes > page.ItemsPerPage {\n   831→\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n   832→\t\t\tend := start + page.ItemsPerPage\n   833→\t\t\tif end > countNodes {\n   834→\t\t\t\tend = countNodes\n   835→\t\t\t\thasNextPage = false\n   836→\t\t\t} else {\n   837→\t\t\t\thasNextPage = true\n   838→\t\t\t}\n   839→\t\t\tnodes = missingNodes[start:end]\n   840→\t\t} else {\n   841→\t\t\tnodes = missingNodes\n   842→\t\t}\n   843→\n   844→\t} else {\n   845→\t\t// DB Nodes: Count and derive hasNextPage from count\n   846→\t\tvar cerr error\n   847→\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n   848→\t\tif cerr != nil {\n   849→\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n   850→\t\t\treturn nil, nil, 0, false, cerr\n   851→\t\t}\n   852→\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n   853→\t}\n   854→\n   855→\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n   856→\tif stateFilter == \"all\" && countNodes == 0 {\n   857→\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n   858→\t}\n   859→\n   860→\treturn nodes, stateMap, countNodes, hasNextPage, nil\n   861→}\n   862→\n   863→func AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n   864→\tuser := GetUserFromContext(ctx)\n   865→\treturn AccessCheckWithUser(user, query)\n   866→}\n   867→\n   868→func AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n   869→\tif user == nil {\n   870→\t\tvar qnil sq.SelectBuilder\n   871→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n   872→\t}\n   873→\n   874→\tswitch {\n   875→\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n   876→\t// \treturn query, nil\n   877→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n   878→\t\treturn query, nil\n   879→\tdefault: // No known Role: No Access, return error\n   880→\t\tvar qnil sq.SelectBuilder\n   881→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n   882→\t}\n   883→}\n   884→\n   885→func getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n   886→\t// 0) Init additional vars\n   887→\thasNextPage := false\n   888→\ttotalNodes := 0\n   889→\n   890→\t// 1) Get list of all nodes\n   891→\tvar topolNodes []string\n   892→\tif subCluster != \"\" {\n   893→\t\tscNodes := archive.NodeLists[cluster][subCluster]\n   894→\t\ttopolNodes = scNodes.PrintList()\n   895→\t} else {\n   896→\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n   897→\t\tfor _, nodeList := range subClusterNodeLists {\n   898→\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n   899→\t\t}\n   900→\t}\n   901→\n   902→\t// 2) Filter nodes\n   903→\tif nodeFilter != \"\" {\n   904→\t\tfilteredNodes := []string{}\n   905→\t\tfor _, node := range topolNodes {\n   906→\t\t\tif strings.Contains(node, nodeFilter) {\n   907→\t\t\t\tfilteredNodes = append(filteredNodes, node)\n   908→\t\t\t}\n   909→\t\t}\n   910→\t\ttopolNodes = filteredNodes\n   911→\t}\n   912→\n   913→\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n   914→\ttotalNodes = len(topolNodes)\n   915→\tsort.Strings(topolNodes)\n   916→\n   917→\t// 3) Apply paging\n   918→\tif len(topolNodes) > page.ItemsPerPage {\n   919→\t\tstart := (page.Page - 1) * page.ItemsPerPage\n   920→\t\tend := start + page.ItemsPerPage\n   921→\t\tif end >= len(topolNodes) {\n   922→\t\t\tend = len(topolNodes)\n   923→\t\t\thasNextPage = false\n   924→\t\t} else {\n   925→\t\t\thasNextPage = true\n   926→\t\t}\n   927→\t\ttopolNodes = topolNodes[start:end]\n   928→\t}\n   929→\n   930→\treturn topolNodes, totalNodes, hasNextPage\n   931→}\n   932→"}]},"uuid":"6c8edef1-a8c9-456d-97fa-3d410e04f313","timestamp":"2026-03-16T10:18:49.302Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"fcc08240-82bd-4123-8e1f-ce0f95d8df8c","timestamp":"2026-03-16T10:18:49.304Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"7d12d80c-ddfe-4da1-bf07-ce2fd2aba9ec","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UMxCyReToFRrj3nPfMgWFx","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// This file contains job statistics and histogram generation functionality for the JobRepository.\n     7→//\n     8→// # Job Statistics\n     9→//\n    10→// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n    11→// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n    12→//   - Overall (JobsStats): Single aggregate across all matching jobs\n    13→//   - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n    14→//   - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n    15→//\n    16→// All statistics methods support filtering via JobFilter and respect security contexts.\n    17→//\n    18→// # Histograms\n    19→//\n    20→// Histogram methods generate distribution data for visualization:\n    21→//   - Duration, nodes, cores, accelerators (AddHistograms)\n    22→//   - Job metrics like CPU load, memory usage (AddMetricHistograms)\n    23→//\n    24→// Histograms use intelligent binning:\n    25→//   - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n    26→//   - Resources: Natural value-based bins\n    27→//   - Metrics: Normalized to peak values with configurable bin counts\n    28→//\n    29→// # Running vs. Completed Jobs\n    30→//\n    31→// Statistics handle running jobs specially:\n    32→//   - Duration calculated as (now - start_time) for running jobs\n    33→//   - Metric histograms for running jobs load data from metric backend instead of footprint\n    34→//   - Job state filtering distinguishes running/completed jobs\n    35→//\n    36→// # Performance Considerations\n    37→//\n    38→// - All queries use prepared statements via stmtCache\n    39→// - Complex aggregations use SQL for efficiency\n    40→// - Histogram pre-initialization ensures consistent bin ranges\n    41→// - Metric histogram queries limited to 5000 jobs for running job analysis\n    42→\n    43→package repository\n    44→\n    45→import (\n    46→\t\"context\"\n    47→\t\"database/sql\"\n    48→\t\"fmt\"\n    49→\t\"time\"\n    50→\n    51→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    52→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    53→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    54→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    55→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    56→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    57→\tsq \"github.com/Masterminds/squirrel\"\n    58→\t\"golang.org/x/sync/errgroup\"\n    59→)\n    60→\n    61→// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n    62→// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n    63→// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\n    64→var groupBy2column = map[model.Aggregate]string{\n    65→\tmodel.AggregateUser:       \"job.hpc_user\",\n    66→\tmodel.AggregateProject:    \"job.project\",\n    67→\tmodel.AggregateCluster:    \"job.cluster\",\n    68→\tmodel.AggregateSubcluster: \"job.subcluster\",\n    69→}\n    70→\n    71→// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n    72→// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n    73→// Column names match the AS aliases used in buildStatsQuery.\n    74→var sortBy2column = map[model.SortByAggregate]string{\n    75→\tmodel.SortByAggregateTotaljobs:      \"totalJobs\",\n    76→\tmodel.SortByAggregateTotalusers:     \"totalUsers\",\n    77→\tmodel.SortByAggregateTotalwalltime:  \"totalWalltime\",\n    78→\tmodel.SortByAggregateTotalnodes:     \"totalNodes\",\n    79→\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n    80→\tmodel.SortByAggregateTotalcores:     \"totalCores\",\n    81→\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n    82→\tmodel.SortByAggregateTotalaccs:      \"totalAccs\",\n    83→\tmodel.SortByAggregateTotalacchours:  \"totalAccHours\",\n    84→}\n    85→\n    86→// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n    87→//\n    88→// Parameters:\n    89→//   - filter: Job filters to apply (cluster, user, time range, etc.)\n    90→//   - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n    91→//   - col: Column name to GROUP BY; empty string for total count without grouping\n    92→//\n    93→// Returns a SelectBuilder that produces either:\n    94→//   - Single count: COUNT(job.id) when col is empty\n    95→//   - Grouped counts: col, COUNT(job.id) when col is specified\n    96→//\n    97→// The kind parameter enables counting specific job categories:\n    98→//   - \"running\": Only jobs with job_state = 'running'\n    99→//   - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n   100→//   - empty: All jobs matching filters\n   101→func (r *JobRepository) buildCountQuery(\n   102→\tfilter []*model.JobFilter,\n   103→\tkind string,\n   104→\tcol string,\n   105→) sq.SelectBuilder {\n   106→\tvar query sq.SelectBuilder\n   107→\n   108→\tif col != \"\" {\n   109→\t\tquery = sq.Select(col, \"COUNT(*)\").From(\"job\").GroupBy(col)\n   110→\t} else {\n   111→\t\tquery = sq.Select(\"COUNT(*)\").From(\"job\")\n   112→\t}\n   113→\n   114→\tswitch kind {\n   115→\tcase \"running\":\n   116→\t\tquery = query.Where(\"job.job_state = 'running'\")\n   117→\tcase \"short\":\n   118→\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n   119→\t}\n   120→\n   121→\tfor _, f := range filter {\n   122→\t\tquery = BuildWhereClause(f, query)\n   123→\t}\n   124→\n   125→\treturn query\n   126→}\n   127→\n   128→// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n   129→// Only requested columns are computed; unrequested columns select 0 as placeholder.\n   130→//\n   131→// Parameters:\n   132→//   - filter: Job filters to apply (cluster, user, time range, etc.)\n   133→//   - col: Column name to GROUP BY; empty string for overall statistics without grouping\n   134→//   - shortThreshold: Duration threshold in seconds for counting short-running jobs\n   135→//   - reqFields: Set of requested field names; nil means compute all fields\n   136→func (r *JobRepository) buildStatsQuery(\n   137→\tfilter []*model.JobFilter,\n   138→\tcol string,\n   139→\tshortThreshold int,\n   140→\treqFields map[string]bool,\n   141→) sq.SelectBuilder {\n   142→\tnow := time.Now().Unix()\n   143→\n   144→\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n   145→\tneed := func(field string) bool {\n   146→\t\treturn reqFields == nil || reqFields[field]\n   147→\t}\n   148→\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n   149→\n   150→\t// Build column list\n   151→\tcolumns := make([]string, 0, 14)\n   152→\n   153→\tif col != \"\" {\n   154→\t\tcolumns = append(columns, col)\n   155→\t}\n   156→\n   157→\tcolumns = append(columns, \"COUNT(*) as totalJobs\")\n   158→\n   159→\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n   160→\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n   161→\t} else {\n   162→\t\tcolumns = append(columns, \"0 AS totalUsers\")\n   163→\t}\n   164→\n   165→\tif need(\"totalWalltime\") {\n   166→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n   167→\t} else {\n   168→\t\tcolumns = append(columns, \"0 as totalWalltime\")\n   169→\t}\n   170→\n   171→\tif need(\"totalNodes\") {\n   172→\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n   173→\t} else {\n   174→\t\tcolumns = append(columns, \"0 as totalNodes\")\n   175→\t}\n   176→\n   177→\tif need(\"totalNodeHours\") {\n   178→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n   179→\t} else {\n   180→\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n   181→\t}\n   182→\n   183→\tif need(\"totalCores\") {\n   184→\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n   185→\t} else {\n   186→\t\tcolumns = append(columns, \"0 as totalCores\")\n   187→\t}\n   188→\n   189→\tif need(\"totalCoreHours\") {\n   190→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n   191→\t} else {\n   192→\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n   193→\t}\n   194→\n   195→\tif need(\"totalAccs\") {\n   196→\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n   197→\t} else {\n   198→\t\tcolumns = append(columns, \"0 as totalAccs\")\n   199→\t}\n   200→\n   201→\tif need(\"totalAccHours\") {\n   202→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n   203→\t} else {\n   204→\t\tcolumns = append(columns, \"0 as totalAccHours\")\n   205→\t}\n   206→\n   207→\tif need(\"runningJobs\") {\n   208→\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n   209→\t} else {\n   210→\t\tcolumns = append(columns, \"0 as runningJobs\")\n   211→\t}\n   212→\n   213→\tif need(\"shortJobs\") {\n   214→\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n   215→\t} else {\n   216→\t\tcolumns = append(columns, \"0 as shortJobs\")\n   217→\t}\n   218→\n   219→\tquery := sq.Select(columns...).From(\"job\")\n   220→\tif col != \"\" {\n   221→\t\tquery = query.GroupBy(col)\n   222→\t}\n   223→\n   224→\tfor _, f := range filter {\n   225→\t\tquery = BuildWhereClause(f, query)\n   226→\t}\n   227→\n   228→\treturn query\n   229→}\n   230→\n   231→// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n   232→// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n   233→// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\n   234→func (r *JobRepository) JobsStatsGrouped(\n   235→\tctx context.Context,\n   236→\tfilter []*model.JobFilter,\n   237→\tpage *model.PageRequest,\n   238→\tsortBy *model.SortByAggregate,\n   239→\tgroupBy *model.Aggregate,\n   240→\treqFields map[string]bool,\n   241→) ([]*model.JobsStatistics, error) {\n   242→\tcol := groupBy2column[*groupBy]\n   243→\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n   244→\n   245→\tquery, err := SecurityCheck(ctx, query)\n   246→\tif err != nil {\n   247→\t\treturn nil, err\n   248→\t}\n   249→\n   250→\tif sortBy != nil {\n   251→\t\tsortBy := sortBy2column[*sortBy]\n   252→\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n   253→\t}\n   254→\tif page != nil && page.ItemsPerPage != -1 {\n   255→\t\tlimit := uint64(page.ItemsPerPage)\n   256→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n   257→\t}\n   258→\n   259→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n   260→\tif err != nil {\n   261→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n   262→\t\treturn nil, err\n   263→\t}\n   264→\tdefer rows.Close()\n   265→\n   266→\tstats := make([]*model.JobsStatistics, 0, 100)\n   267→\n   268→\tfor rows.Next() {\n   269→\t\tvar id sql.NullString\n   270→\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n   271→\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n   272→\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n   273→\t\t\treturn nil, err\n   274→\t\t}\n   275→\n   276→\t\tif id.Valid {\n   277→\t\t\tstats = append(stats,\n   278→\t\t\t\t&model.JobsStatistics{\n   279→\t\t\t\t\tID:             id.String,\n   280→\t\t\t\t\tTotalJobs:      int(jobs.Int64),\n   281→\t\t\t\t\tTotalUsers:     int(users.Int64),\n   282→\t\t\t\t\tTotalWalltime:  int(walltime.Int64),\n   283→\t\t\t\t\tTotalNodes:     int(nodes.Int64),\n   284→\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n   285→\t\t\t\t\tTotalCores:     int(cores.Int64),\n   286→\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n   287→\t\t\t\t\tTotalAccs:      int(accs.Int64),\n   288→\t\t\t\t\tTotalAccHours:  int(accHours.Int64),\n   289→\t\t\t\t\tRunningJobs:    int(runningJobs.Int64),\n   290→\t\t\t\t\tShortJobs:      int(shortJobs.Int64),\n   291→\t\t\t\t})\n   292→\t\t}\n   293→\t}\n   294→\n   295→\tif err := rows.Err(); err != nil {\n   296→\t\treturn nil, err\n   297→\t}\n   298→\n   299→\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n   300→\tif col == \"job.hpc_user\" && len(stats) > 0 {\n   301→\t\tusernames := make([]any, len(stats))\n   302→\t\tfor i, s := range stats {\n   303→\t\t\tusernames[i] = s.ID\n   304→\t\t}\n   305→\n   306→\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n   307→\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n   308→\t\tif err != nil {\n   309→\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n   310→\t\t\t// Non-fatal: stats are still valid without display names\n   311→\t\t} else {\n   312→\t\t\tdefer nameRows.Close()\n   313→\t\t\tnameMap := make(map[string]string, len(stats))\n   314→\t\t\tfor nameRows.Next() {\n   315→\t\t\t\tvar username, name string\n   316→\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n   317→\t\t\t\t\tnameMap[username] = name\n   318→\t\t\t\t}\n   319→\t\t\t}\n   320→\t\t\tfor _, s := range stats {\n   321→\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n   322→\t\t\t\t\ts.Name = name\n   323→\t\t\t\t}\n   324→\t\t\t}\n   325→\t\t}\n   326→\t}\n   327→\n   328→\treturn stats, nil\n   329→}\n   330→\n   331→// JobsStats computes overall job statistics across all matching jobs without grouping.\n   332→//\n   333→// This method provides a single aggregate view of job metrics, useful for dashboard\n   334→// summaries and overall system utilization reports.\n   335→//\n   336→// Parameters:\n   337→//   - ctx: Context for security checks and cancellation\n   338→//   - filter: Filters to apply (time range, cluster, job state, etc.)\n   339→//\n   340→// Returns a single-element slice containing aggregate statistics:\n   341→//   - totalJobs, totalUsers, totalWalltime\n   342→//   - totalNodeHours, totalCoreHours, totalAccHours\n   343→//\n   344→// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n   345→// Security checks are applied via SecurityCheck to respect user access levels.\n   346→func (r *JobRepository) JobsStats(\n   347→\tctx context.Context,\n   348→\tfilter []*model.JobFilter,\n   349→\treqFields map[string]bool,\n   350→) ([]*model.JobsStatistics, error) {\n   351→\tstart := time.Now()\n   352→\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n   353→\tquery, err := SecurityCheck(ctx, query)\n   354→\tif err != nil {\n   355→\t\treturn nil, err\n   356→\t}\n   357→\n   358→\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n   359→\tstats := make([]*model.JobsStatistics, 0, 1)\n   360→\n   361→\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n   362→\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n   363→\t\tcclog.Warn(\"Error while scanning rows\")\n   364→\t\treturn nil, err\n   365→\t}\n   366→\n   367→\tif jobs.Valid {\n   368→\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n   369→\n   370→\t\tif nodeHours.Valid {\n   371→\t\t\ttotalNodeHours = int(nodeHours.Int64)\n   372→\t\t}\n   373→\t\tif coreHours.Valid {\n   374→\t\t\ttotalCoreHours = int(coreHours.Int64)\n   375→\t\t}\n   376→\t\tif accHours.Valid {\n   377→\t\t\ttotalAccHours = int(accHours.Int64)\n   378→\t\t}\n   379→\t\tstats = append(stats,\n   380→\t\t\t&model.JobsStatistics{\n   381→\t\t\t\tTotalJobs:      int(jobs.Int64),\n   382→\t\t\t\tTotalUsers:     int(users.Int64),\n   383→\t\t\t\tTotalWalltime:  int(walltime.Int64),\n   384→\t\t\t\tTotalNodeHours: totalNodeHours,\n   385→\t\t\t\tTotalCoreHours: totalCoreHours,\n   386→\t\t\t\tTotalAccHours:  totalAccHours,\n   387→\t\t\t\tRunningJobs:    int(runningJobs.Int64),\n   388→\t\t\t\tShortJobs:      int(shortJobs.Int64),\n   389→\t\t\t})\n   390→\t}\n   391→\n   392→\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n   393→\treturn stats, nil\n   394→}\n   395→\n   396→// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n   397→// Returns 0.0 if the metric is not found or statType is invalid.\n   398→//\n   399→// Parameters:\n   400→//   - job: Job struct with populated Statistics field\n   401→//   - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n   402→//   - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n   403→//\n   404→// Returns the requested statistic value or 0.0 if not found.\n   405→func LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n   406→\tif stats, ok := job.Statistics[metric]; ok {\n   407→\t\tswitch statType {\n   408→\t\tcase \"avg\":\n   409→\t\t\treturn stats.Avg\n   410→\t\tcase \"max\":\n   411→\t\t\treturn stats.Max\n   412→\t\tcase \"min\":\n   413→\t\t\treturn stats.Min\n   414→\t\tdefault:\n   415→\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n   416→\t\t}\n   417→\t}\n   418→\n   419→\treturn 0.0\n   420→}\n   421→\n   422→// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n   423→//\n   424→// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n   425→// avoiding the overhead of calculating walltime and resource usage metrics.\n   426→//\n   427→// Parameters:\n   428→//   - ctx: Context for security checks\n   429→//   - filter: Filters to apply\n   430→//   - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n   431→//\n   432→// Returns JobsStatistics with only ID and TotalJobs populated for each group.\n   433→func (r *JobRepository) JobCountGrouped(\n   434→\tctx context.Context,\n   435→\tfilter []*model.JobFilter,\n   436→\tgroupBy *model.Aggregate,\n   437→) ([]*model.JobsStatistics, error) {\n   438→\tstart := time.Now()\n   439→\tcol := groupBy2column[*groupBy]\n   440→\tquery := r.buildCountQuery(filter, \"\", col)\n   441→\tquery, err := SecurityCheck(ctx, query)\n   442→\tif err != nil {\n   443→\t\treturn nil, err\n   444→\t}\n   445→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n   446→\tif err != nil {\n   447→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n   448→\t\treturn nil, err\n   449→\t}\n   450→\tdefer rows.Close()\n   451→\n   452→\tstats := make([]*model.JobsStatistics, 0, 100)\n   453→\n   454→\tfor rows.Next() {\n   455→\t\tvar id sql.NullString\n   456→\t\tvar cnt sql.NullInt64\n   457→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n   458→\t\t\tcclog.Warn(\"Error while scanning rows\")\n   459→\t\t\treturn nil, err\n   460→\t\t}\n   461→\t\tif id.Valid {\n   462→\t\t\tstats = append(stats,\n   463→\t\t\t\t&model.JobsStatistics{\n   464→\t\t\t\t\tID:        id.String,\n   465→\t\t\t\t\tTotalJobs: int(cnt.Int64),\n   466→\t\t\t\t})\n   467→\t\t}\n   468→\t}\n   469→\n   470→\tif err := rows.Err(); err != nil {\n   471→\t\treturn nil, err\n   472→\t}\n   473→\n   474→\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n   475→\treturn stats, nil\n   476→}\n   477→\n   478→// AddJobCountGrouped augments existing statistics with additional job counts by category.\n   479→//\n   480→// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n   481→// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n   482→//\n   483→// Parameters:\n   484→//   - ctx: Context for security checks\n   485→//   - filter: Filters to apply\n   486→//   - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n   487→//   - stats: Existing statistics to augment (modified in-place by ID matching)\n   488→//   - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n   489→//\n   490→// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n   491→// Groups without matching jobs will have 0 for the added field.\n   492→func (r *JobRepository) AddJobCountGrouped(\n   493→\tctx context.Context,\n   494→\tfilter []*model.JobFilter,\n   495→\tgroupBy *model.Aggregate,\n   496→\tstats []*model.JobsStatistics,\n   497→\tkind string,\n   498→) ([]*model.JobsStatistics, error) {\n   499→\tstart := time.Now()\n   500→\tcol := groupBy2column[*groupBy]\n   501→\tquery := r.buildCountQuery(filter, kind, col)\n   502→\tquery, err := SecurityCheck(ctx, query)\n   503→\tif err != nil {\n   504→\t\treturn nil, err\n   505→\t}\n   506→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n   507→\tif err != nil {\n   508→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n   509→\t\treturn nil, err\n   510→\t}\n   511→\tdefer rows.Close()\n   512→\n   513→\tcounts := make(map[string]int)\n   514→\n   515→\tfor rows.Next() {\n   516→\t\tvar id sql.NullString\n   517→\t\tvar cnt sql.NullInt64\n   518→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n   519→\t\t\tcclog.Warn(\"Error while scanning rows\")\n   520→\t\t\treturn nil, err\n   521→\t\t}\n   522→\t\tif id.Valid {\n   523→\t\t\tcounts[id.String] = int(cnt.Int64)\n   524→\t\t}\n   525→\t}\n   526→\n   527→\tif err := rows.Err(); err != nil {\n   528→\t\treturn nil, err\n   529→\t}\n   530→\n   531→\tswitch kind {\n   532→\tcase \"running\":\n   533→\t\tfor _, s := range stats {\n   534→\t\t\ts.RunningJobs = counts[s.ID]\n   535→\t\t}\n   536→\tcase \"short\":\n   537→\t\tfor _, s := range stats {\n   538→\t\t\ts.ShortJobs = counts[s.ID]\n   539→\t\t}\n   540→\t}\n   541→\n   542→\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n   543→\treturn stats, nil\n   544→}\n   545→\n   546→// AddJobCount augments existing overall statistics with additional job counts by category.\n   547→//\n   548→// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n   549→// to all statistics entries (typically just one).\n   550→//\n   551→// Parameters:\n   552→//   - ctx: Context for security checks\n   553→//   - filter: Filters to apply\n   554→//   - stats: Existing statistics to augment (modified in-place)\n   555→//   - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n   556→//\n   557→// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\n   558→func (r *JobRepository) AddJobCount(\n   559→\tctx context.Context,\n   560→\tfilter []*model.JobFilter,\n   561→\tstats []*model.JobsStatistics,\n   562→\tkind string,\n   563→) ([]*model.JobsStatistics, error) {\n   564→\tstart := time.Now()\n   565→\tquery := r.buildCountQuery(filter, kind, \"\")\n   566→\tquery, err := SecurityCheck(ctx, query)\n   567→\tif err != nil {\n   568→\t\treturn nil, err\n   569→\t}\n   570→\tvar cnt sql.NullInt64\n   571→\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n   572→\t\tcclog.Warn(\"Error while querying DB for job count\")\n   573→\t\treturn nil, err\n   574→\t}\n   575→\n   576→\tcount := int(cnt.Int64)\n   577→\n   578→\tswitch kind {\n   579→\tcase \"running\":\n   580→\t\tfor _, s := range stats {\n   581→\t\t\ts.RunningJobs = count\n   582→\t\t}\n   583→\tcase \"short\":\n   584→\t\tfor _, s := range stats {\n   585→\t\t\ts.ShortJobs = count\n   586→\t\t}\n   587→\t}\n   588→\n   589→\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n   590→\treturn stats, nil\n   591→}\n   592→\n   593→// AddHistograms augments statistics with distribution histograms for job properties.\n   594→//\n   595→// Generates histogram data for visualization of job duration, node count, core count,\n   596→// and accelerator count distributions. Duration histogram uses intelligent binning based\n   597→// on the requested resolution.\n   598→//\n   599→// Parameters:\n   600→//   - ctx: Context for security checks\n   601→//   - filter: Filters to apply to jobs included in histograms\n   602→//   - stat: Statistics struct to augment (modified in-place)\n   603→//   - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n   604→//\n   605→// Populates these fields in stat:\n   606→//   - HistDuration: Job duration distribution (zero-padded bins)\n   607→//   - HistNumNodes: Node count distribution\n   608→//   - HistNumCores: Core (hwthread) count distribution\n   609→//   - HistNumAccs: Accelerator count distribution\n   610→//\n   611→// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n   612→// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\n   613→func (r *JobRepository) AddHistograms(\n   614→\tctx context.Context,\n   615→\tfilter []*model.JobFilter,\n   616→\tstat *model.JobsStatistics,\n   617→\tdurationBins *string,\n   618→) (*model.JobsStatistics, error) {\n   619→\tstart := time.Now()\n   620→\n   621→\tvar targetBinCount int\n   622→\tvar targetBinSize int\n   623→\tswitch *durationBins {\n   624→\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n   625→\t\ttargetBinCount = 60\n   626→\t\ttargetBinSize = 60\n   627→\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n   628→\t\ttargetBinCount = 72\n   629→\t\ttargetBinSize = 600\n   630→\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n   631→\t\ttargetBinCount = 48\n   632→\t\ttargetBinSize = 3600\n   633→\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n   634→\t\ttargetBinCount = 12\n   635→\t\ttargetBinSize = 21600\n   636→\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n   637→\t\ttargetBinCount = 14\n   638→\t\ttargetBinSize = 43200\n   639→\tdefault: // 24h\n   640→\t\ttargetBinCount = 24\n   641→\t\ttargetBinSize = 3600\n   642→\t}\n   643→\n   644→\t// Run all 4 histogram queries in parallel — each writes a distinct struct field.\n   645→\tg, gctx := errgroup.WithContext(ctx)\n   646→\n   647→\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n   648→\n   649→\tg.Go(func() error {\n   650→\t\tvar err error\n   651→\t\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(gctx, value, filter, targetBinSize, &targetBinCount)\n   652→\t\tif err != nil {\n   653→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n   654→\t\t}\n   655→\t\treturn err\n   656→\t})\n   657→\tg.Go(func() error {\n   658→\t\tvar err error\n   659→\t\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(gctx, \"job.num_nodes as value\", filter)\n   660→\t\tif err != nil {\n   661→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n   662→\t\t}\n   663→\t\treturn err\n   664→\t})\n   665→\tg.Go(func() error {\n   666→\t\tvar err error\n   667→\t\tstat.HistNumCores, err = r.jobsStatisticsHistogram(gctx, \"job.num_hwthreads as value\", filter)\n   668→\t\tif err != nil {\n   669→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n   670→\t\t}\n   671→\t\treturn err\n   672→\t})\n   673→\tg.Go(func() error {\n   674→\t\tvar err error\n   675→\t\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(gctx, \"job.num_acc as value\", filter)\n   676→\t\tif err != nil {\n   677→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n   678→\t\t}\n   679→\t\treturn err\n   680→\t})\n   681→\n   682→\tif err := g.Wait(); err != nil {\n   683→\t\treturn nil, err\n   684→\t}\n   685→\n   686→\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n   687→\treturn stat, nil\n   688→}\n   689→\n   690→// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n   691→//\n   692→// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n   693→// and completed jobs differently: running jobs load data from metric backend, completed jobs\n   694→// use footprint data from database.\n   695→//\n   696→// Parameters:\n   697→//   - ctx: Context for security checks\n   698→//   - filter: Filters to apply (MUST contain State filter for running jobs)\n   699→//   - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n   700→//   - stat: Statistics struct to augment (modified in-place)\n   701→//   - targetBinCount: Number of histogram bins (default: 10)\n   702→//\n   703→// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n   704→//\n   705→// Binning algorithm:\n   706→//   - Values normalized to metric's peak value from cluster configuration\n   707→//   - Bins evenly distributed from 0 to peak\n   708→//   - Pre-initialized with zeros for consistent visualization\n   709→//\n   710→// Limitations:\n   711→//   - Running jobs: Limited to 5000 jobs for performance\n   712→//   - Requires valid cluster configuration with metric peak values\n   713→//   - Uses footprint statistic (avg/max/min) configured per metric\n   714→func (r *JobRepository) AddMetricHistograms(\n   715→\tctx context.Context,\n   716→\tfilter []*model.JobFilter,\n   717→\tmetrics []string,\n   718→\tstat *model.JobsStatistics,\n   719→\ttargetBinCount *int,\n   720→) (*model.JobsStatistics, error) {\n   721→\tstart := time.Now()\n   722→\n   723→\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n   724→\tfor _, f := range filter {\n   725→\t\tif f.State != nil {\n   726→\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n   727→\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n   728→\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n   729→\t\t\t\treturn stat, nil\n   730→\t\t\t}\n   731→\t\t}\n   732→\t}\n   733→\n   734→\t// All other cases: Query and make bins in sqlite directly\n   735→\tfor _, m := range metrics {\n   736→\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n   737→\t\tif err != nil {\n   738→\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n   739→\t\t\tcontinue\n   740→\t\t}\n   741→\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n   742→\t}\n   743→\n   744→\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n   745→\treturn stat, nil\n   746→}\n   747→\n   748→// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n   749→//\n   750→// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n   751→// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n   752→//\n   753→// Parameters:\n   754→//   - value: SQL expression that produces the histogram value, aliased as \"value\"\n   755→//   - filters: Job filters to apply\n   756→//\n   757→// Returns histogram points with Value (from column) and Count (number of jobs).\n   758→func (r *JobRepository) jobsStatisticsHistogram(\n   759→\tctx context.Context,\n   760→\tvalue string,\n   761→\tfilters []*model.JobFilter,\n   762→) ([]*model.HistoPoint, error) {\n   763→\tstart := time.Now()\n   764→\tquery, qerr := SecurityCheck(ctx,\n   765→\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n   766→\n   767→\tif qerr != nil {\n   768→\t\treturn nil, qerr\n   769→\t}\n   770→\n   771→\tfor _, f := range filters {\n   772→\t\tquery = BuildWhereClause(f, query)\n   773→\t}\n   774→\n   775→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n   776→\tif err != nil {\n   777→\t\tcclog.Error(\"Error while running query\")\n   778→\t\treturn nil, err\n   779→\t}\n   780→\tdefer rows.Close()\n   781→\n   782→\tpoints := make([]*model.HistoPoint, 0)\n   783→\t// is it possible to introduce zero values here? requires info about bincount\n   784→\tfor rows.Next() {\n   785→\t\tpoint := model.HistoPoint{}\n   786→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n   787→\t\t\tcclog.Warn(\"Error while scanning rows\")\n   788→\t\t\treturn nil, err\n   789→\t\t}\n   790→\n   791→\t\tpoints = append(points, &point)\n   792→\t}\n   793→\n   794→\tif err := rows.Err(); err != nil {\n   795→\t\treturn nil, err\n   796→\t}\n   797→\n   798→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n   799→\treturn points, nil\n   800→}\n   801→\n   802→// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n   803→//\n   804→// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n   805→// histograms which only return bins with data. The value parameter should compute\n   806→// the bin number from job duration.\n   807→//\n   808→// Parameters:\n   809→//   - value: SQL expression computing bin number from duration, aliased as \"value\"\n   810→//   - filters: Job filters to apply\n   811→//   - binSizeSeconds: Width of each bin in seconds\n   812→//   - targetBinCount: Number of bins to pre-initialize\n   813→//\n   814→// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n   815→// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n   816→//\n   817→// Algorithm:\n   818→//  1. Pre-initialize targetBinCount bins with zero counts\n   819→//  2. Query database for actual counts per bin\n   820→//  3. Match query results to pre-initialized bins by value\n   821→//  4. Bins without matches remain at zero\n   822→func (r *JobRepository) jobsDurationStatisticsHistogram(\n   823→\tctx context.Context,\n   824→\tvalue string,\n   825→\tfilters []*model.JobFilter,\n   826→\tbinSizeSeconds int,\n   827→\ttargetBinCount *int,\n   828→) ([]*model.HistoPoint, error) {\n   829→\tstart := time.Now()\n   830→\tquery, qerr := SecurityCheck(ctx,\n   831→\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n   832→\n   833→\tif qerr != nil {\n   834→\t\treturn nil, qerr\n   835→\t}\n   836→\n   837→\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n   838→\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n   839→\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n   840→\tfor i := 1; i <= *targetBinCount; i++ {\n   841→\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n   842→\t\tpoints = append(points, &point)\n   843→\t}\n   844→\n   845→\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n   846→\tbinMap := make(map[int]int, len(points))\n   847→\tfor i, p := range points {\n   848→\t\tbinMap[p.Value] = i\n   849→\t}\n   850→\n   851→\tfor _, f := range filters {\n   852→\t\tquery = BuildWhereClause(f, query)\n   853→\t}\n   854→\n   855→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n   856→\tif err != nil {\n   857→\t\tcclog.Error(\"Error while running query\")\n   858→\t\treturn nil, err\n   859→\t}\n   860→\tdefer rows.Close()\n   861→\n   862→\t// Match query results to pre-initialized bins using map lookup.\n   863→\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n   864→\tfor rows.Next() {\n   865→\t\tpoint := model.HistoPoint{}\n   866→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n   867→\t\t\tcclog.Warn(\"Error while scanning rows\")\n   868→\t\t\treturn nil, err\n   869→\t\t}\n   870→\n   871→\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n   872→\t\t\tpoints[idx].Count = point.Count\n   873→\t\t}\n   874→\t}\n   875→\n   876→\tif err := rows.Err(); err != nil {\n   877→\t\treturn nil, err\n   878→\t}\n   879→\n   880→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n   881→\treturn points, nil\n   882→}\n   883→\n   884→// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n   885→//\n   886→// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n   887→// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n   888→// and computing bin assignments in SQL.\n   889→//\n   890→// Parameters:\n   891→//   - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n   892→//   - filters: Job filters to apply\n   893→//   - bins: Number of bins to generate\n   894→//\n   895→// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n   896→//\n   897→// Algorithm:\n   898→//  1. Determine peak value from cluster configuration (filtered cluster or max across all)\n   899→//  2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n   900→//  3. Pre-initialize bins with min/max ranges based on peak value\n   901→//  4. Query database for counts per bin\n   902→//  5. Match results to pre-initialized bins\n   903→//\n   904→// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n   905→// peak by 0.999999999 to avoid creating an extra bin.\n   906→func (r *JobRepository) jobsMetricStatisticsHistogram(\n   907→\tctx context.Context,\n   908→\tmetric string,\n   909→\tfilters []*model.JobFilter,\n   910→\tbins *int,\n   911→) (*model.MetricHistoPoints, error) {\n   912→\t// Peak value defines the upper bound for binning: values are distributed across\n   913→\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n   914→\t// scan all clusters to find the maximum peak value.\n   915→\tvar metricConfig *schema.MetricConfig\n   916→\tvar peak float64\n   917→\tvar unit string\n   918→\tvar footprintStat string\n   919→\n   920→\t// Try to get metric config from filtered cluster\n   921→\tfor _, f := range filters {\n   922→\t\tif f.Cluster != nil {\n   923→\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n   924→\t\t\tpeak = metricConfig.Peak\n   925→\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n   926→\t\t\tfootprintStat = metricConfig.Footprint\n   927→\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n   928→\t\t}\n   929→\t}\n   930→\n   931→\t// If no cluster filter or peak not found, find largest peak across all clusters\n   932→\t// This ensures histogram can accommodate all possible values\n   933→\tif peak == 0.0 {\n   934→\t\tfor _, c := range archive.Clusters {\n   935→\t\t\tfor _, m := range c.MetricConfig {\n   936→\t\t\t\tif m.Name == metric {\n   937→\t\t\t\t\tif m.Peak > peak {\n   938→\t\t\t\t\t\tpeak = m.Peak\n   939→\t\t\t\t\t}\n   940→\t\t\t\t\tif unit == \"\" {\n   941→\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n   942→\t\t\t\t\t}\n   943→\t\t\t\t\tif footprintStat == \"\" {\n   944→\t\t\t\t\t\tfootprintStat = m.Footprint\n   945→\t\t\t\t\t}\n   946→\t\t\t\t}\n   947→\t\t\t}\n   948→\t\t}\n   949→\t}\n   950→\n   951→\t// Construct SQL histogram bins using normalized values.\n   952→\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n   953→\tstart := time.Now()\n   954→\n   955→\t// Bin calculation formula:\n   956→\t//   bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n   957→\t// Special case: value == peak would create bin N+1, so we test for equality\n   958→\t// and multiply peak by 0.999999999 to force it into bin N.\n   959→\tbinQuery := fmt.Sprintf(`CAST(\n   960→\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n   961→\t\t* %v as INTEGER )`,\n   962→\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n   963→\n   964→\tmainQuery := sq.Select(\n   965→\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n   966→\t\t`count(*) as count`,\n   967→\t).From(\"job\").Where(\n   968→\t\t\"JSON_VALID(footprint)\",\n   969→\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n   970→\n   971→\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n   972→\tif qerr != nil {\n   973→\t\treturn nil, qerr\n   974→\t}\n   975→\n   976→\tfor _, f := range filters {\n   977→\t\tmainQuery = BuildWhereClause(f, mainQuery)\n   978→\t}\n   979→\n   980→\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n   981→\n   982→\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n   983→\tif err != nil {\n   984→\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n   985→\t\treturn nil, err\n   986→\t}\n   987→\tdefer rows.Close()\n   988→\n   989→\t// Pre-initialize bins with calculated min/max ranges.\n   990→\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n   991→\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n   992→\tbinStep := int(peak) / *bins\n   993→\tfor i := 1; i <= *bins; i++ {\n   994→\t\tbinMin := (binStep * (i - 1))\n   995→\t\tbinMax := (binStep * i)\n   996→\t\tidx := i\n   997→\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n   998→\t\tpoints = append(points, &epoint)\n   999→\t}\n  1000→\n  1001→\t// Build a map from bin number to slice index for O(1) lookup.\n  1002→\tbinMap := make(map[int]int, len(points))\n  1003→\tfor i, p := range points {\n  1004→\t\tif p.Bin != nil {\n  1005→\t\t\tbinMap[*p.Bin] = i\n  1006→\t\t}\n  1007→\t}\n  1008→\n  1009→\t// Match query results to pre-initialized bins using map lookup.\n  1010→\tfor rows.Next() {\n  1011→\t\trpoint := model.MetricHistoPoint{}\n  1012→\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n  1013→\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n  1014→\t\t\treturn nil, err\n  1015→\t\t}\n  1016→\n  1017→\t\tif rpoint.Bin != nil {\n  1018→\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n  1019→\t\t\t\tpoints[idx].Count = rpoint.Count\n  1020→\t\t\t}\n  1021→\t\t}\n  1022→\t}\n  1023→\n  1024→\tif err := rows.Err(); err != nil {\n  1025→\t\treturn nil, err\n  1026→\t}\n  1027→\n  1028→\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n  1029→\n  1030→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n  1031→\treturn &result, nil\n  1032→}\n  1033→\n  1034→// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n  1035→//\n  1036→// Unlike completed jobs which use footprint data from the database, running jobs require\n  1037→// fetching current metric averages from the metric backend (via metricdispatch).\n  1038→//\n  1039→// Parameters:\n  1040→//   - metrics: List of metric names\n  1041→//   - filters: Job filters (should filter to running jobs only)\n  1042→//   - bins: Number of histogram bins\n  1043→//\n  1044→// Returns slice of MetricHistoPoints, one per metric.\n  1045→//\n  1046→// Limitations:\n  1047→//   - Maximum 5000 jobs (returns nil if more jobs match)\n  1048→//   - Requires metric backend availability\n  1049→//   - Bins based on metric peak values from cluster configuration\n  1050→//\n  1051→// Algorithm:\n  1052→//  1. Query first 5001 jobs to check count limit\n  1053→//  2. Load metric averages for all jobs via metricdispatch\n  1054→//  3. For each metric, create bins based on peak value\n  1055→//  4. Iterate averages and count jobs per bin\n  1056→func (r *JobRepository) runningJobsMetricStatisticsHistogram(\n  1057→\tctx context.Context,\n  1058→\tmetrics []string,\n  1059→\tfilters []*model.JobFilter,\n  1060→\tbins *int,\n  1061→) []*model.MetricHistoPoints {\n  1062→\t// Get Jobs\n  1063→\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n  1064→\tif err != nil {\n  1065→\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n  1066→\t\treturn nil\n  1067→\t}\n  1068→\tif len(jobs) > 5000 {\n  1069→\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n  1070→\t\treturn nil\n  1071→\t}\n  1072→\n  1073→\t// Get AVGs from metric repo\n  1074→\tavgs := make([][]schema.Float, len(metrics))\n  1075→\tfor i := range avgs {\n  1076→\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n  1077→\t}\n  1078→\n  1079→\tfor _, job := range jobs {\n  1080→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n  1081→\t\t\tcontinue\n  1082→\t\t}\n  1083→\n  1084→\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n  1085→\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n  1086→\t\t\treturn nil\n  1087→\t\t}\n  1088→\t}\n  1089→\n  1090→\t// Iterate metrics to fill endresult\n  1091→\tdata := make([]*model.MetricHistoPoints, 0)\n  1092→\tfor idx, metric := range metrics {\n  1093→\t\t// Get specific Peak or largest Peak\n  1094→\t\tvar metricConfig *schema.MetricConfig\n  1095→\t\tvar peak float64\n  1096→\t\tvar unit string\n  1097→\n  1098→\t\tfor _, f := range filters {\n  1099→\t\t\tif f.Cluster != nil {\n  1100→\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n  1101→\t\t\t\tpeak = metricConfig.Peak\n  1102→\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n  1103→\t\t\t}\n  1104→\t\t}\n  1105→\n  1106→\t\tif peak == 0.0 {\n  1107→\t\t\tfor _, c := range archive.Clusters {\n  1108→\t\t\t\tfor _, m := range c.MetricConfig {\n  1109→\t\t\t\t\tif m.Name == metric {\n  1110→\t\t\t\t\t\tif m.Peak > peak {\n  1111→\t\t\t\t\t\t\tpeak = m.Peak\n  1112→\t\t\t\t\t\t}\n  1113→\t\t\t\t\t\tif unit == \"\" {\n  1114→\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n  1115→\t\t\t\t\t\t}\n  1116→\t\t\t\t\t}\n  1117→\t\t\t\t}\n  1118→\t\t\t}\n  1119→\t\t}\n  1120→\n  1121→\t\t// Make and fill bins\n  1122→\t\tpeakBin := int(peak) / *bins\n  1123→\n  1124→\t\tpoints := make([]*model.MetricHistoPoint, 0)\n  1125→\t\tfor b := 0; b < *bins; b++ {\n  1126→\t\t\tcount := 0\n  1127→\t\t\tbindex := b + 1\n  1128→\t\t\tbmin := peakBin * b\n  1129→\t\t\tbmax := peakBin * (b + 1)\n  1130→\n  1131→\t\t\t// Iterate AVG values for indexed metric and count for bins\n  1132→\t\t\tfor _, val := range avgs[idx] {\n  1133→\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n  1134→\t\t\t\t\tcount += 1\n  1135→\t\t\t\t}\n  1136→\t\t\t}\n  1137→\n  1138→\t\t\t// Append Bin to Metric Result Array\n  1139→\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n  1140→\t\t\tpoints = append(points, &point)\n  1141→\t\t}\n  1142→\n  1143→\t\t// Append Metric Result Array to final results array\n  1144→\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n  1145→\t\tdata = append(data, &result)\n  1146→\t}\n  1147→\n  1148→\treturn data\n  1149→}\n  1150→"}]},"uuid":"1b08c0d7-88e3-46bf-b4e5-d3e9eefe380b","timestamp":"2026-03-16T10:18:49.571Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"0666b457-3523-46a7-8f45-9dbe3741fc13","timestamp":"2026-03-16T10:18:49.616Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"7e10136c-ebdc-48e4-9f8c-a7fbd406df6d","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Y6uvcUMmeCH46KE6L5JveJ","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package repository\n     6→\n     7→import (\n     8→\t\"encoding/json\"\n     9→\t\"maps\"\n    10→\t\"sync\"\n    11→\t\"time\"\n    12→\n    13→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    14→\t\"github.com/ClusterCockpit/cc-backend/web\"\n    15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    16→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n    17→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    18→\t\"github.com/jmoiron/sqlx\"\n    19→)\n    20→\n    21→var (\n    22→\tuserCfgRepoOnce     sync.Once\n    23→\tuserCfgRepoInstance *UserCfgRepo\n    24→)\n    25→\n    26→type UserCfgRepo struct {\n    27→\tDB         *sqlx.DB\n    28→\tLookup     *sqlx.Stmt\n    29→\tuiDefaults map[string]any\n    30→\tcache      *lrucache.Cache\n    31→\tlock       sync.RWMutex\n    32→}\n    33→\n    34→func GetUserCfgRepo() *UserCfgRepo {\n    35→\tuserCfgRepoOnce.Do(func() {\n    36→\t\tdb := GetConnection()\n    37→\n    38→\t\tlookupConfigStmt, err := db.DB.Preparex(`SELECT confkey, value FROM configuration WHERE configuration.username = ?`)\n    39→\t\tif err != nil {\n    40→\t\t\tcclog.Fatalf(\"User Config: Call 'db.DB.Preparex()' failed.\\nError: %s\\n\", err.Error())\n    41→\t\t}\n    42→\n    43→\t\tuserCfgRepoInstance = &UserCfgRepo{\n    44→\t\t\tDB:         db.DB,\n    45→\t\t\tLookup:     lookupConfigStmt,\n    46→\t\t\tuiDefaults: web.UIDefaultsMap,\n    47→\t\t\tcache:      lrucache.New(1024),\n    48→\t\t}\n    49→\t})\n    50→\n    51→\treturn userCfgRepoInstance\n    52→}\n    53→\n    54→// Return the personalised UI config for the currently authenticated\n    55→// user or return the plain default config.\n    56→func (uCfg *UserCfgRepo) GetUIConfig(user *schema.User) (map[string]any, error) {\n    57→\tif user == nil {\n    58→\t\tcopy := make(map[string]any, len(uCfg.uiDefaults))\n    59→\t\tmaps.Copy(copy, uCfg.uiDefaults)\n    60→\t\treturn copy, nil\n    61→\t}\n    62→\n    63→\t// Is the cache invalidated in case the options are changed?\n    64→\tdata := uCfg.cache.Get(user.Username, func() (any, time.Duration, int) {\n    65→\t\tuiconfig := make(map[string]any, len(uCfg.uiDefaults))\n    66→\t\tmaps.Copy(uiconfig, uCfg.uiDefaults)\n    67→\n    68→\t\trows, err := uCfg.Lookup.Query(user.Username)\n    69→\t\tif err != nil {\n    70→\t\t\tcclog.Warnf(\"Error while looking up user uiconfig for user '%v'\", user.Username)\n    71→\t\t\treturn err, 0, 0\n    72→\t\t}\n    73→\n    74→\t\tsize := 0\n    75→\t\tdefer rows.Close()\n    76→\t\tfor rows.Next() {\n    77→\t\t\tvar key, rawval string\n    78→\t\t\tif err := rows.Scan(&key, &rawval); err != nil {\n    79→\t\t\t\tcclog.Warn(\"Error while scanning user uiconfig values\")\n    80→\t\t\t\treturn err, 0, 0\n    81→\t\t\t}\n    82→\n    83→\t\t\tvar val any\n    84→\t\t\tif err := json.Unmarshal([]byte(rawval), &val); err != nil {\n    85→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw user uiconfig json\")\n    86→\t\t\t\treturn err, 0, 0\n    87→\t\t\t}\n    88→\n    89→\t\t\tsize += len(key)\n    90→\t\t\tsize += len(rawval)\n    91→\t\t\tuiconfig[key] = val\n    92→\t\t}\n    93→\n    94→\t\t// Add global ShortRunningJobsDuration setting as jobList_hideShortRunningJobs\n    95→\t\tuiconfig[\"jobList_hideShortRunningJobs\"] = config.Keys.ShortRunningJobsDuration\n    96→\n    97→\t\treturn uiconfig, 24 * time.Hour, size\n    98→\t})\n    99→\tif err, ok := data.(error); ok {\n   100→\t\tcclog.Error(\"Error in returned dataset\")\n   101→\t\treturn nil, err\n   102→\t}\n   103→\n   104→\treturn data.(map[string]any), nil\n   105→}\n   106→\n   107→// If the context does not have a user, update the global ui configuration\n   108→// without persisting it!  If there is a (authenticated) user, update only his\n   109→// configuration.\n   110→func (uCfg *UserCfgRepo) UpdateConfig(\n   111→\tkey, value string,\n   112→\tuser *schema.User,\n   113→) error {\n   114→\tif user == nil {\n   115→\t\treturn nil\n   116→\t}\n   117→\n   118→\tif _, err := uCfg.DB.Exec(`REPLACE INTO configuration (username, confkey, value) VALUES (?, ?, ?)`, user.Username, key, value); err != nil {\n   119→\t\tcclog.Warnf(\"Error while replacing user config in DB for user '%v'\", user.Username)\n   120→\t\treturn err\n   121→\t}\n   122→\n   123→\tuCfg.cache.Del(user.Username)\n   124→\treturn nil\n   125→}\n   126→"}]},"uuid":"26b657ef-8d4f-4de6-b998-37cf55ac4d70","timestamp":"2026-03-16T10:18:49.618Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"d8270e24-3094-4818-af66-af3c4231100c","timestamp":"2026-03-16T10:18:49.714Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"e910ccc3-d5eb-4e2f-8003-6a46c3a6f551","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CpiGuLdz7DarZP3aRM8bis","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"bytes\"\n    10→\t\"encoding/json\"\n    11→\t\"time\"\n    12→\n    13→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n    14→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    16→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    17→\t\"github.com/go-co-op/gocron/v2\"\n    18→)\n    19→\n    20→const (\n    21→\tDefaultCompressOlderThan = 7\n    22→)\n    23→\n    24→// Retention defines the configuration for job retention policies.\n    25→type Retention struct {\n    26→\tPolicy             string `json:\"policy\"`\n    27→\tFormat             string `json:\"format\"`\n    28→\tAge                int    `json:\"age\"`\n    29→\tIncludeDB          bool   `json:\"include-db\"`\n    30→\tOmitTagged         string `json:\"omit-tagged\"`\n    31→\tTargetKind         string `json:\"target-kind\"`\n    32→\tTargetPath         string `json:\"target-path\"`\n    33→\tTargetEndpoint     string `json:\"target-endpoint\"`\n    34→\tTargetBucket       string `json:\"target-bucket\"`\n    35→\tTargetAccessKey    string `json:\"target-access-key\"`\n    36→\tTargetSecretKey    string `json:\"target-secret-key\"`\n    37→\tTargetRegion       string `json:\"target-region\"`\n    38→\tTargetUsePathStyle bool   `json:\"target-use-path-style\"`\n    39→\tMaxFileSizeMB      int    `json:\"max-file-size-mb\"`\n    40→}\n    41→\n    42→// CronFrequency defines the execution intervals for various background workers.\n    43→type CronFrequency struct {\n    44→\t// Duration Update Worker [Defaults to '2m']\n    45→\tCommitJobWorker string `json:\"commit-job-worker\"`\n    46→\t// Duration Update Worker [Defaults to '5m']\n    47→\tDurationWorker string `json:\"duration-worker\"`\n    48→\t// Metric-Footprint Update Worker [Defaults to '10m']\n    49→\tFootprintWorker string `json:\"footprint-worker\"`\n    50→}\n    51→\n    52→var (\n    53→\ts       gocron.Scheduler\n    54→\tjobRepo *repository.JobRepository\n    55→\t// Keys holds the configured frequencies for cron jobs.\n    56→\tKeys CronFrequency\n    57→)\n    58→\n    59→// parseDuration parses a duration string and handles errors by logging them.\n    60→// It returns the duration and any error encountered.\n    61→func parseDuration(s string) (time.Duration, error) {\n    62→\tinterval, err := time.ParseDuration(s)\n    63→\tif err != nil {\n    64→\t\tcclog.Warnf(\"Could not parse duration for sync interval: %v\",\n    65→\t\t\ts)\n    66→\t\treturn 0, err\n    67→\t}\n    68→\n    69→\tif interval == 0 {\n    70→\t\tcclog.Info(\"TaskManager: Sync interval is zero\")\n    71→\t}\n    72→\n    73→\treturn interval, nil\n    74→}\n    75→\n    76→func initArchiveServices(config json.RawMessage) {\n    77→\tvar cfg struct {\n    78→\t\tRetention   Retention `json:\"retention\"`\n    79→\t\tCompression int       `json:\"compression\"`\n    80→\t}\n    81→\tcfg.Retention.IncludeDB = true\n    82→\n    83→\tif err := json.Unmarshal(config, &cfg); err != nil {\n    84→\t\tcclog.Errorf(\"error while unmarshaling raw config json: %v\", err)\n    85→\t}\n    86→\n    87→\tswitch cfg.Retention.Policy {\n    88→\tcase \"delete\":\n    89→\t\tRegisterRetentionDeleteService(cfg.Retention)\n    90→\tcase \"copy\":\n    91→\t\tRegisterRetentionCopyService(cfg.Retention)\n    92→\tcase \"move\":\n    93→\t\tRegisterRetentionMoveService(cfg.Retention)\n    94→\t}\n    95→\n    96→\tif cfg.Compression > 0 {\n    97→\t\tRegisterCompressionService(cfg.Compression)\n    98→\t} else {\n    99→\t\tRegisterCompressionService(DefaultCompressOlderThan)\n   100→\t}\n   101→}\n   102→\n   103→// Start initializes the task manager, parses configurations, and registers background tasks.\n   104→// It starts the gocron scheduler.\n   105→func Start(cronCfg, archiveConfig json.RawMessage) {\n   106→\tvar err error\n   107→\tjobRepo = repository.GetJobRepository()\n   108→\ts, err = gocron.NewScheduler()\n   109→\tif err != nil {\n   110→\t\tcclog.Abortf(\"Taskmanager Start: Could not create gocron scheduler.\\nError: %s\\n\", err.Error())\n   111→\t}\n   112→\n   113→\tif config.Keys.StopJobsExceedingWalltime > 0 {\n   114→\t\tRegisterStopJobsExceedTime()\n   115→\t}\n   116→\n   117→\tdec := json.NewDecoder(bytes.NewReader(cronCfg))\n   118→\tdec.DisallowUnknownFields()\n   119→\tif err := dec.Decode(&Keys); err != nil {\n   120→\t\tcclog.Errorf(\"error while decoding cron config: %v\", err)\n   121→\t}\n   122→\n   123→\tif archiveConfig != nil {\n   124→\t\tinitArchiveServices(archiveConfig)\n   125→\t} else {\n   126→\t\t// Always enable compression\n   127→\t\tRegisterCompressionService(DefaultCompressOlderThan)\n   128→\t}\n   129→\n   130→\tlc := auth.Keys.LdapConfig\n   131→\n   132→\tif lc != nil && lc.SyncInterval != \"\" {\n   133→\t\tRegisterLdapSyncService(lc.SyncInterval)\n   134→\t}\n   135→\n   136→\tRegisterFootprintWorker()\n   137→\tRegisterUpdateDurationWorker()\n   138→\tRegisterCommitJobService()\n   139→\n   140→\tif config.Keys.NodeStateRetention != nil && config.Keys.NodeStateRetention.Policy != \"\" {\n   141→\t\tinitNodeStateRetention()\n   142→\t}\n   143→\n   144→\ts.Start()\n   145→}\n   146→\n   147→func initNodeStateRetention() {\n   148→\tcfg := config.Keys.NodeStateRetention\n   149→\tage := cfg.Age\n   150→\tif age <= 0 {\n   151→\t\tage = 24\n   152→\t}\n   153→\n   154→\tswitch cfg.Policy {\n   155→\tcase \"delete\":\n   156→\t\tRegisterNodeStateRetentionDeleteService(age)\n   157→\tcase \"move\":\n   158→\t\tRegisterNodeStateRetentionMoveService(cfg)\n   159→\tdefault:\n   160→\t\tcclog.Warnf(\"Unknown nodestate-retention policy: %s\", cfg.Policy)\n   161→\t}\n   162→}\n   163→\n   164→// Shutdown stops the task manager and its scheduler.\n   165→func Shutdown() {\n   166→\tif s != nil {\n   167→\t\ts.Shutdown()\n   168→\t}\n   169→}\n   170→"}]},"uuid":"b840ac82-4a71-46d9-966b-08f9e24c9ff6","timestamp":"2026-03-16T10:18:50.450Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"01afc9b5-e14c-4c7f-9c82-78662ffd0b55","timestamp":"2026-03-16T10:18:50.776Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"01afc9b5-e14c-4c7f-9c82-78662ffd0b55","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:50.952Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01U1b7E1LkY7Mpj9eAiD9htg","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016yhvR19UmnU9A4PBVr5Bav","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/server.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":732,"cache_read_input_tokens":18318,"cache_creation":{"ephemeral_5m_input_tokens":732,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6owgZ8C1ittjgPqDs","uuid":"fb5717cc-7ae1-4942-aa0d-3cac688edc69"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"3abb3ed5-e1ac-444b-8400-ea37551200fc","timestamp":"2026-03-16T10:18:50.952Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"3abb3ed5-e1ac-444b-8400-ea37551200fc","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016yhvR19UmnU9A4PBVr5Bav","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package main provides the entry point for the ClusterCockpit backend server.\n     7→// This file contains HTTP server setup, routing configuration, and\n     8→// authentication middleware integration.\n     9→package main\n    10→\n    11→import (\n    12→\t\"context\"\n    13→\t\"crypto/tls\"\n    14→\t\"encoding/json\"\n    15→\t\"errors\"\n    16→\t\"fmt\"\n    17→\t\"net\"\n    18→\t\"net/http\"\n    19→\t\"os\"\n    20→\t\"strings\"\n    21→\t\"time\"\n    22→\n    23→\t\"github.com/99designs/gqlgen/graphql\"\n    24→\t\"github.com/99designs/gqlgen/graphql/handler\"\n    25→\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n    26→\t\"github.com/99designs/gqlgen/graphql/playground\"\n    27→\t\"github.com/ClusterCockpit/cc-backend/internal/api\"\n    28→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    29→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n    30→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    31→\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n    32→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n    33→\t\"github.com/ClusterCockpit/cc-backend/internal/routerConfig\"\n    34→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n    35→\t\"github.com/ClusterCockpit/cc-backend/web\"\n    36→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    37→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    38→\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n    39→\t\"github.com/go-chi/chi/v5\"\n    40→\t\"github.com/go-chi/chi/v5/middleware\"\n    41→\t\"github.com/go-chi/cors\"\n    42→\thttpSwagger \"github.com/swaggo/http-swagger\"\n    43→)\n    44→\n    45→var buildInfo web.Build\n    46→\n    47→// Environment variable names\n    48→const (\n    49→\tenvDebug = \"DEBUG\"\n    50→)\n    51→\n    52→// Server encapsulates the HTTP server state and dependencies\n    53→type Server struct {\n    54→\trouter        chi.Router\n    55→\tserver        *http.Server\n    56→\trestAPIHandle *api.RestAPI\n    57→\tnatsAPIHandle *api.NatsAPI\n    58→}\n    59→\n    60→func onFailureResponse(rw http.ResponseWriter, r *http.Request, err error) {\n    61→\trw.Header().Add(\"Content-Type\", \"application/json\")\n    62→\trw.WriteHeader(http.StatusUnauthorized)\n    63→\tjson.NewEncoder(rw).Encode(map[string]string{\n    64→\t\t\"status\": http.StatusText(http.StatusUnauthorized),\n    65→\t\t\"error\":  err.Error(),\n    66→\t})\n    67→}\n    68→\n    69→// NewServer creates and initializes a new Server instance\n    70→func NewServer(version, commit, buildDate string) (*Server, error) {\n    71→\tbuildInfo = web.Build{Version: version, Hash: commit, Buildtime: buildDate}\n    72→\n    73→\ts := &Server{\n    74→\t\trouter: chi.NewRouter(),\n    75→\t}\n    76→\n    77→\tif err := s.init(); err != nil {\n    78→\t\treturn nil, err\n    79→\t}\n    80→\n    81→\treturn s, nil\n    82→}\n    83→\n    84→func (s *Server) init() error {\n    85→\t// Setup the http.Handler/Router used by the server\n    86→\tgraph.Init()\n    87→\tresolver := graph.GetResolverInstance()\n    88→\tgraphQLServer := handler.New(\n    89→\t\tgenerated.NewExecutableSchema(generated.Config{Resolvers: resolver}))\n    90→\n    91→\tgraphQLServer.AddTransport(transport.POST{})\n    92→\n    93→\t// Inject a per-request stats cache so that grouped statistics queries\n    94→\t// sharing the same (filter, groupBy) pair are executed only once.\n    95→\tgraphQLServer.AroundOperations(func(ctx context.Context, next graphql.OperationHandler) graphql.ResponseHandler {\n    96→\t\treturn next(graph.WithStatsGroupCache(ctx))\n    97→\t})\n    98→\n    99→\tif os.Getenv(envDebug) != \"1\" {\n   100→\t\t// Having this handler means that a error message is returned via GraphQL instead of the connection simply beeing closed.\n   101→\t\t// The problem with this is that then, no more stacktrace is printed to stderr.\n   102→\t\tgraphQLServer.SetRecoverFunc(func(ctx context.Context, err any) error {\n   103→\t\t\tswitch e := err.(type) {\n   104→\t\t\tcase string:\n   105→\t\t\t\treturn fmt.Errorf(\"MAIN > Panic: %s\", e)\n   106→\t\t\tcase error:\n   107→\t\t\t\treturn fmt.Errorf(\"MAIN > Panic caused by: %s\", e.Error())\n   108→\t\t\t}\n   109→\n   110→\t\t\treturn errors.New(\"MAIN > Internal server error (panic)\")\n   111→\t\t})\n   112→\t}\n   113→\n   114→\tauthHandle := auth.GetAuthInstance()\n   115→\n   116→\t// Middleware must be defined before routes in chi\n   117→\ts.router.Use(func(next http.Handler) http.Handler {\n   118→\t\treturn http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n   119→\t\t\tstart := time.Now()\n   120→\t\t\tww := middleware.NewWrapResponseWriter(rw, r.ProtoMajor)\n   121→\t\t\tnext.ServeHTTP(ww, r)\n   122→\t\t\tcclog.Debugf(\"%s %s (%d, %.02fkb, %dms)\",\n   123→\t\t\t\tr.Method, r.URL.RequestURI(),\n   124→\t\t\t\tww.Status(), float32(ww.BytesWritten())/1024,\n   125→\t\t\t\ttime.Since(start).Milliseconds())\n   126→\t\t})\n   127→\t})\n   128→\ts.router.Use(middleware.Compress(5))\n   129→\ts.router.Use(middleware.Recoverer)\n   130→\ts.router.Use(cors.Handler(cors.Options{\n   131→\t\tAllowCredentials: true,\n   132→\t\tAllowedHeaders:   []string{\"X-Requested-With\", \"Content-Type\", \"Authorization\", \"Origin\"},\n   133→\t\tAllowedMethods:   []string{\"GET\", \"POST\", \"HEAD\", \"OPTIONS\"},\n   134→\t\tAllowedOrigins:   []string{\"*\"},\n   135→\t}))\n   136→\n   137→\ts.restAPIHandle = api.New()\n   138→\n   139→\tinfo := map[string]any{}\n   140→\tinfo[\"hasOpenIDConnect\"] = false\n   141→\n   142→\tif auth.Keys.OpenIDConfig != nil {\n   143→\t\topenIDConnect := auth.NewOIDC(authHandle)\n   144→\t\topenIDConnect.RegisterEndpoints(s.router)\n   145→\t\tinfo[\"hasOpenIDConnect\"] = true\n   146→\t}\n   147→\n   148→\ts.router.Get(\"/login\", func(rw http.ResponseWriter, r *http.Request) {\n   149→\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n   150→\t\tcclog.Debugf(\"##%v##\", info)\n   151→\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{Title: \"Login\", Build: buildInfo, Infos: info})\n   152→\t})\n   153→\ts.router.HandleFunc(\"/imprint\", func(rw http.ResponseWriter, r *http.Request) {\n   154→\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n   155→\t\tweb.RenderTemplate(rw, \"imprint.tmpl\", &web.Page{Title: \"Imprint\", Build: buildInfo})\n   156→\t})\n   157→\ts.router.HandleFunc(\"/privacy\", func(rw http.ResponseWriter, r *http.Request) {\n   158→\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n   159→\t\tweb.RenderTemplate(rw, \"privacy.tmpl\", &web.Page{Title: \"Privacy\", Build: buildInfo})\n   160→\t})\n   161→\n   162→\tif !config.Keys.DisableAuthentication {\n   163→\t\t// Create login failure handler (used by both /login and /jwt-login)\n   164→\t\tloginFailureHandler := func(rw http.ResponseWriter, r *http.Request, err error) {\n   165→\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n   166→\t\t\trw.WriteHeader(http.StatusUnauthorized)\n   167→\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n   168→\t\t\t\tTitle:   \"Login failed - ClusterCockpit\",\n   169→\t\t\t\tMsgType: \"alert-warning\",\n   170→\t\t\t\tMessage: err.Error(),\n   171→\t\t\t\tBuild:   buildInfo,\n   172→\t\t\t\tInfos:   info,\n   173→\t\t\t})\n   174→\t\t}\n   175→\n   176→\t\ts.router.Post(\"/login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n   177→\t\ts.router.HandleFunc(\"/jwt-login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n   178→\n   179→\t\ts.router.Post(\"/logout\", authHandle.Logout(\n   180→\t\t\thttp.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n   181→\t\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n   182→\t\t\t\trw.WriteHeader(http.StatusOK)\n   183→\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n   184→\t\t\t\t\tTitle:   \"Bye - ClusterCockpit\",\n   185→\t\t\t\t\tMsgType: \"alert-info\",\n   186→\t\t\t\t\tMessage: \"Logout successful\",\n   187→\t\t\t\t\tBuild:   buildInfo,\n   188→\t\t\t\t\tInfos:   info,\n   189→\t\t\t\t})\n   190→\t\t\t})).ServeHTTP)\n   191→\t}\n   192→\n   193→\tif flagDev {\n   194→\t\ts.router.Handle(\"/playground\", playground.Handler(\"GraphQL playground\", \"/query\"))\n   195→\t\ts.router.Get(\"/swagger/*\", httpSwagger.Handler(\n   196→\t\t\thttpSwagger.URL(\"http://\"+config.Keys.Addr+\"/swagger/doc.json\")))\n   197→\t}\n   198→\n   199→\t// Secured routes (require authentication)\n   200→\ts.router.Group(func(secured chi.Router) {\n   201→\t\tif !config.Keys.DisableAuthentication {\n   202→\t\t\tsecured.Use(func(next http.Handler) http.Handler {\n   203→\t\t\t\treturn authHandle.Auth(\n   204→\t\t\t\t\tnext,\n   205→\t\t\t\t\tfunc(rw http.ResponseWriter, r *http.Request, err error) {\n   206→\t\t\t\t\t\trw.WriteHeader(http.StatusUnauthorized)\n   207→\t\t\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n   208→\t\t\t\t\t\t\tTitle:    \"Authentication failed - ClusterCockpit\",\n   209→\t\t\t\t\t\t\tMsgType:  \"alert-danger\",\n   210→\t\t\t\t\t\t\tMessage:  err.Error(),\n   211→\t\t\t\t\t\t\tBuild:    buildInfo,\n   212→\t\t\t\t\t\t\tInfos:    info,\n   213→\t\t\t\t\t\t\tRedirect: r.RequestURI,\n   214→\t\t\t\t\t\t})\n   215→\t\t\t\t\t})\n   216→\t\t\t})\n   217→\t\t}\n   218→\n   219→\t\tsecured.Handle(\"/query\", graphQLServer)\n   220→\n   221→\t\tsecured.HandleFunc(\"/search\", func(rw http.ResponseWriter, r *http.Request) {\n   222→\t\t\trouterConfig.HandleSearchBar(rw, r, buildInfo)\n   223→\t\t})\n   224→\n   225→\t\trouterConfig.SetupRoutes(secured, buildInfo)\n   226→\t})\n   227→\n   228→\t// API routes (JWT token auth)\n   229→\ts.router.Route(\"/api\", func(apiRouter chi.Router) {\n   230→\t\t// Main API routes with API auth\n   231→\t\tapiRouter.Group(func(securedapi chi.Router) {\n   232→\t\t\tif !config.Keys.DisableAuthentication {\n   233→\t\t\t\tsecuredapi.Use(func(next http.Handler) http.Handler {\n   234→\t\t\t\t\treturn authHandle.AuthAPI(next, onFailureResponse)\n   235→\t\t\t\t})\n   236→\t\t\t}\n   237→\t\t\ts.restAPIHandle.MountAPIRoutes(securedapi)\n   238→\t\t})\n   239→\n   240→\t\t// Metric store API routes with separate auth\n   241→\t\tapiRouter.Group(func(metricstoreapi chi.Router) {\n   242→\t\t\tif !config.Keys.DisableAuthentication {\n   243→\t\t\t\tmetricstoreapi.Use(func(next http.Handler) http.Handler {\n   244→\t\t\t\t\treturn authHandle.AuthMetricStoreAPI(next, onFailureResponse)\n   245→\t\t\t\t})\n   246→\t\t\t}\n   247→\t\t\ts.restAPIHandle.MountMetricStoreAPIRoutes(metricstoreapi)\n   248→\t\t})\n   249→\t})\n   250→\n   251→\t// User API routes\n   252→\ts.router.Route(\"/userapi\", func(userapi chi.Router) {\n   253→\t\tif !config.Keys.DisableAuthentication {\n   254→\t\t\tuserapi.Use(func(next http.Handler) http.Handler {\n   255→\t\t\t\treturn authHandle.AuthUserAPI(next, onFailureResponse)\n   256→\t\t\t})\n   257→\t\t}\n   258→\t\ts.restAPIHandle.MountUserAPIRoutes(userapi)\n   259→\t})\n   260→\n   261→\t// Config API routes (uses Group with full paths to avoid shadowing\n   262→\t// the /config page route that is registered in the secured group)\n   263→\ts.router.Group(func(configapi chi.Router) {\n   264→\t\tif !config.Keys.DisableAuthentication {\n   265→\t\t\tconfigapi.Use(func(next http.Handler) http.Handler {\n   266→\t\t\t\treturn authHandle.AuthConfigAPI(next, onFailureResponse)\n   267→\t\t\t})\n   268→\t\t}\n   269→\t\ts.restAPIHandle.MountConfigAPIRoutes(configapi)\n   270→\t})\n   271→\n   272→\t// Frontend API routes\n   273→\ts.router.Route(\"/frontend\", func(frontendapi chi.Router) {\n   274→\t\tif !config.Keys.DisableAuthentication {\n   275→\t\t\tfrontendapi.Use(func(next http.Handler) http.Handler {\n   276→\t\t\t\treturn authHandle.AuthFrontendAPI(next, onFailureResponse)\n   277→\t\t\t})\n   278→\t\t}\n   279→\t\ts.restAPIHandle.MountFrontendAPIRoutes(frontendapi)\n   280→\t})\n   281→\n   282→\tif config.Keys.APISubjects != nil {\n   283→\t\ts.natsAPIHandle = api.NewNatsAPI()\n   284→\t\tif err := s.natsAPIHandle.StartSubscriptions(); err != nil {\n   285→\t\t\treturn fmt.Errorf(\"starting NATS subscriptions: %w\", err)\n   286→\t\t}\n   287→\t}\n   288→\n   289→\t// 404 handler for pages and API routes\n   290→\tnotFoundHandler := func(rw http.ResponseWriter, r *http.Request) {\n   291→\t\tif strings.HasPrefix(r.URL.Path, \"/api/\") || strings.HasPrefix(r.URL.Path, \"/userapi/\") ||\n   292→\t\t\tstrings.HasPrefix(r.URL.Path, \"/frontend/\") || strings.HasPrefix(r.URL.Path, \"/config/\") {\n   293→\t\t\trw.Header().Set(\"Content-Type\", \"application/json\")\n   294→\t\t\trw.WriteHeader(http.StatusNotFound)\n   295→\t\t\tjson.NewEncoder(rw).Encode(map[string]string{\n   296→\t\t\t\t\"status\": \"Resource not found\",\n   297→\t\t\t\t\"error\":  \"the requested endpoint does not exist\",\n   298→\t\t\t})\n   299→\t\t\treturn\n   300→\t\t}\n   301→\t\trw.Header().Set(\"Content-Type\", \"text/html; charset=utf-8\")\n   302→\t\trw.WriteHeader(http.StatusNotFound)\n   303→\t\tweb.RenderTemplate(rw, \"404.tmpl\", &web.Page{\n   304→\t\t\tTitle: \"Page Not Found\",\n   305→\t\t\tBuild: buildInfo,\n   306→\t\t})\n   307→\t}\n   308→\n   309→\t// Set NotFound on the router so chi uses it for all unmatched routes,\n   310→\t// including those under subrouters like /api, /userapi, /frontend, etc.\n   311→\ts.router.NotFound(notFoundHandler)\n   312→\n   313→\tif config.Keys.EmbedStaticFiles {\n   314→\t\tif i, err := os.Stat(\"./var/img\"); err == nil {\n   315→\t\t\tif i.IsDir() {\n   316→\t\t\t\tcclog.Info(\"Use local directory for static images\")\n   317→\t\t\t\ts.router.Handle(\"/img/*\", http.StripPrefix(\"/img/\", http.FileServer(http.Dir(\"./var/img\"))))\n   318→\t\t\t}\n   319→\t\t}\n   320→\t\tfileServer := http.StripPrefix(\"/\", web.ServeFiles())\n   321→\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n   322→\t\t\tif web.StaticFileExists(r.URL.Path) {\n   323→\t\t\t\tfileServer.ServeHTTP(rw, r)\n   324→\t\t\t\treturn\n   325→\t\t\t}\n   326→\t\t\tnotFoundHandler(rw, r)\n   327→\t\t}))\n   328→\t} else {\n   329→\t\tstaticDir := http.Dir(config.Keys.StaticFiles)\n   330→\t\tfileServer := http.FileServer(staticDir)\n   331→\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n   332→\t\t\tf, err := staticDir.Open(r.URL.Path)\n   333→\t\t\tif err == nil {\n   334→\t\t\t\tf.Close()\n   335→\t\t\t\tfileServer.ServeHTTP(rw, r)\n   336→\t\t\t\treturn\n   337→\t\t\t}\n   338→\t\t\tnotFoundHandler(rw, r)\n   339→\t\t}))\n   340→\t}\n   341→\n   342→\treturn nil\n   343→}\n   344→\n   345→// Server timeout defaults (in seconds)\n   346→const (\n   347→\tdefaultReadTimeout  = 20\n   348→\tdefaultWriteTimeout = 20\n   349→)\n   350→\n   351→func (s *Server) Start(ctx context.Context) error {\n   352→\t// Use configurable timeouts with defaults\n   353→\treadTimeout := time.Duration(defaultReadTimeout) * time.Second\n   354→\twriteTimeout := time.Duration(defaultWriteTimeout) * time.Second\n   355→\n   356→\ts.server = &http.Server{\n   357→\t\tReadTimeout:  readTimeout,\n   358→\t\tWriteTimeout: writeTimeout,\n   359→\t\tHandler:      s.router,\n   360→\t\tAddr:         config.Keys.Addr,\n   361→\t}\n   362→\n   363→\t// Start http or https server\n   364→\tlistener, err := net.Listen(\"tcp\", config.Keys.Addr)\n   365→\tif err != nil {\n   366→\t\treturn fmt.Errorf(\"starting listener on '%s': %w\", config.Keys.Addr, err)\n   367→\t}\n   368→\n   369→\tif !strings.HasSuffix(config.Keys.Addr, \":80\") && config.Keys.RedirectHTTPTo != \"\" {\n   370→\t\tgo func() {\n   371→\t\t\thttp.ListenAndServe(\":80\", http.RedirectHandler(config.Keys.RedirectHTTPTo, http.StatusMovedPermanently))\n   372→\t\t}()\n   373→\t}\n   374→\n   375→\tif config.Keys.HTTPSCertFile != \"\" && config.Keys.HTTPSKeyFile != \"\" {\n   376→\t\tcert, err := tls.LoadX509KeyPair(\n   377→\t\t\tconfig.Keys.HTTPSCertFile, config.Keys.HTTPSKeyFile)\n   378→\t\tif err != nil {\n   379→\t\t\treturn fmt.Errorf(\"loading X509 keypair (check 'https-cert-file' and 'https-key-file' in config.json): %w\", err)\n   380→\t\t}\n   381→\t\tlistener = tls.NewListener(listener, &tls.Config{\n   382→\t\t\tCertificates: []tls.Certificate{cert},\n   383→\t\t\tCipherSuites: []uint16{\n   384→\t\t\t\ttls.TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256,\n   385→\t\t\t\ttls.TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256,\n   386→\t\t\t},\n   387→\t\t\tMinVersion:               tls.VersionTLS12,\n   388→\t\t\tPreferServerCipherSuites: true,\n   389→\t\t})\n   390→\t\tcclog.Infof(\"HTTPS server listening at %s...\", config.Keys.Addr)\n   391→\t} else {\n   392→\t\tcclog.Infof(\"HTTP server listening at %s...\", config.Keys.Addr)\n   393→\t}\n   394→\t//\n   395→\t// Because this program will want to bind to a privileged port (like 80), the listener must\n   396→\t// be established first, then the user can be changed, and after that,\n   397→\t// the actual http server can be started.\n   398→\tif err := runtime.DropPrivileges(config.Keys.Group, config.Keys.User); err != nil {\n   399→\t\treturn fmt.Errorf(\"dropping privileges: %w\", err)\n   400→\t}\n   401→\n   402→\t// Handle context cancellation for graceful shutdown\n   403→\tgo func() {\n   404→\t\t<-ctx.Done()\n   405→\t\tshutdownCtx, cancel := context.WithTimeout(context.Background(), 30*time.Second)\n   406→\t\tdefer cancel()\n   407→\t\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n   408→\t\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n   409→\t\t}\n   410→\t}()\n   411→\n   412→\tif err = s.server.Serve(listener); err != nil && err != http.ErrServerClosed {\n   413→\t\treturn fmt.Errorf(\"server failed: %w\", err)\n   414→\t}\n   415→\treturn nil\n   416→}\n   417→\n   418→func (s *Server) Shutdown(ctx context.Context) {\n   419→\t// Create a shutdown context with timeout\n   420→\tshutdownCtx, cancel := context.WithTimeout(ctx, 30*time.Second)\n   421→\tdefer cancel()\n   422→\n   423→\tnc := nats.GetClient()\n   424→\tif nc != nil {\n   425→\t\tnc.Close()\n   426→\t}\n   427→\n   428→\t// First shut down the server gracefully (waiting for all ongoing requests)\n   429→\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n   430→\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n   431→\t}\n   432→\n   433→\t// Archive all the metric store data\n   434→\tms := metricstore.GetMemoryStore()\n   435→\n   436→\tif ms != nil {\n   437→\t\tmetricstore.Shutdown()\n   438→\t}\n   439→\n   440→\t// Shutdown archiver with 10 second timeout for fast shutdown\n   441→\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n   442→\t\tcclog.Warnf(\"Archiver shutdown: %v\", err)\n   443→\t}\n   444→}\n   445→"}]},"uuid":"7b6c56ec-39d9-4a50-88ed-3b62f3e9c091","timestamp":"2026-03-16T10:18:50.958Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"20c14204-0590-4339-9d5b-3a776c10857e","timestamp":"2026-03-16T10:18:51.005Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"5a11fcda-fbc0-4d2a-b438-24bfece03046","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EYSQna5UcVakBUY28WzWCZ","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"bufio\"\n    10→\t\"database/sql\"\n    11→\t\"encoding/json\"\n    12→\t\"errors\"\n    13→\t\"fmt\"\n    14→\t\"net/http\"\n    15→\t\"strconv\"\n    16→\t\"strings\"\n    17→\t\"sync\"\n    18→\t\"time\"\n    19→\n    20→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    21→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    22→\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n    23→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    24→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n    25→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    26→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    27→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    28→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    29→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    30→\t\"github.com/go-chi/chi/v5\"\n    31→)\n    32→\n    33→const (\n    34→\t// secondsPerDay is the number of seconds in 24 hours.\n    35→\t// Used for duplicate job detection within a day window.\n    36→\tsecondsPerDay = 86400\n    37→)\n    38→\n    39→// StopJobAPIRequest model\n    40→type StopJobAPIRequest struct {\n    41→\tJobID     *int64          `json:\"jobId\" example:\"123000\"`\n    42→\tCluster   *string         `json:\"cluster\" example:\"fritz\"`\n    43→\tStartTime *int64          `json:\"startTime\" example:\"1649723812\"`\n    44→\tState     schema.JobState `json:\"jobState\" validate:\"required\" example:\"completed\"`\n    45→\tStopTime  int64           `json:\"stopTime\" validate:\"required\" example:\"1649763839\"`\n    46→}\n    47→\n    48→// DeleteJobAPIRequest model\n    49→type DeleteJobAPIRequest struct {\n    50→\tJobID     *int64  `json:\"jobId\" validate:\"required\" example:\"123000\"` // Cluster Job ID of job\n    51→\tCluster   *string `json:\"cluster\" example:\"fritz\"`                    // Cluster of job\n    52→\tStartTime *int64  `json:\"startTime\" example:\"1649723812\"`             // Start Time of job as epoch\n    53→}\n    54→\n    55→// GetJobsAPIResponse model\n    56→type GetJobsAPIResponse struct {\n    57→\tJobs  []*schema.Job `json:\"jobs\"`  // Array of jobs\n    58→\tItems int           `json:\"items\"` // Number of jobs returned\n    59→\tPage  int           `json:\"page\"`  // Page id returned\n    60→}\n    61→\n    62→// APITag model\n    63→type APITag struct {\n    64→\t// Tag Type\n    65→\tType  string `json:\"type\" example:\"Debug\"`\n    66→\tName  string `json:\"name\" example:\"Testjob\"` // Tag Name\n    67→\tScope string `json:\"scope\" example:\"global\"` // Tag Scope for Frontend Display\n    68→}\n    69→\n    70→type EditMetaRequest struct {\n    71→\tKey   string `json:\"key\" example:\"jobScript\"`\n    72→\tValue string `json:\"value\" example:\"bash script\"`\n    73→}\n    74→\n    75→// JobMetaRequest model\n    76→type JobMetaRequest struct {\n    77→\tJobId     *int64          `json:\"jobId\" validate:\"required\" example:\"123000\"` // Cluster Job ID of job\n    78→\tCluster   *string         `json:\"cluster\" example:\"fritz\"`                    // Cluster of job\n    79→\tStartTime *int64          `json:\"startTime\" example:\"1649723812\"`             // Start Time of job as epoch\n    80→\tPayload   EditMetaRequest `json:\"payload\"`                                    // Content to Add to Job Meta_Data\n    81→}\n    82→\n    83→type TagJobAPIRequest []*APITag\n    84→\n    85→type GetJobAPIRequest []string\n    86→\n    87→type GetJobAPIResponse struct {\n    88→\tMeta *schema.Job\n    89→\tData []*JobMetricWithName\n    90→}\n    91→\n    92→type GetCompleteJobAPIResponse struct {\n    93→\tMeta *schema.Job\n    94→\tData schema.JobData\n    95→}\n    96→\n    97→type JobMetricWithName struct {\n    98→\tMetric *schema.JobMetric  `json:\"metric\"`\n    99→\tName   string             `json:\"name\"`\n   100→\tScope  schema.MetricScope `json:\"scope\"`\n   101→}\n   102→\n   103→// getJobs godoc\n   104→// @summary     Lists all jobs\n   105→// @tags Job query\n   106→// @description Get a list of all jobs. Filters can be applied using query parameters.\n   107→// @description Number of results can be limited by page. Results are sorted by descending startTime.\n   108→// @produce     json\n   109→// @param       state          query    string            false \"Job State\" Enums(running, completed, failed, cancelled, stopped, timeout)\n   110→// @param       cluster        query    string            false \"Job Cluster\"\n   111→// @param       start-time     query    string            false \"Syntax: '$from-$to', as unix epoch timestamps in seconds\"\n   112→// @param       items-per-page query    int               false \"Items per page (Default: 25)\"\n   113→// @param       page           query    int               false \"Page Number (Default: 1)\"\n   114→// @param       with-metadata  query    bool              false \"Include metadata (e.g. jobScript) in response\"\n   115→// @success     200            {object} api.GetJobsAPIResponse  \"Job array and page info\"\n   116→// @failure     400            {object} api.ErrorResponse       \"Bad Request\"\n   117→// @failure     401   \t\t   {object} api.ErrorResponse       \"Unauthorized\"\n   118→// @failure     403            {object} api.ErrorResponse       \"Forbidden\"\n   119→// @failure     500            {object} api.ErrorResponse       \"Internal Server Error\"\n   120→// @security    ApiKeyAuth\n   121→// @router      /api/jobs/ [get]\n   122→func (api *RestAPI) getJobs(rw http.ResponseWriter, r *http.Request) {\n   123→\twithMetadata := false\n   124→\tfilter := &model.JobFilter{}\n   125→\tpage := &model.PageRequest{ItemsPerPage: 25, Page: 1}\n   126→\torder := &model.OrderByInput{Field: \"startTime\", Type: \"col\", Order: model.SortDirectionEnumDesc}\n   127→\n   128→\tfor key, vals := range r.URL.Query() {\n   129→\t\tswitch key {\n   130→\t\tcase \"project\":\n   131→\t\t\tfilter.Project = &model.StringInput{Eq: &vals[0]}\n   132→\t\tcase \"state\":\n   133→\t\t\tfor _, s := range vals {\n   134→\t\t\t\tstate := schema.JobState(s)\n   135→\t\t\t\tif !state.Valid() {\n   136→\t\t\t\t\thandleError(fmt.Errorf(\"invalid query parameter value: state\"),\n   137→\t\t\t\t\t\thttp.StatusBadRequest, rw)\n   138→\t\t\t\t\treturn\n   139→\t\t\t\t}\n   140→\t\t\t\tfilter.State = append(filter.State, state)\n   141→\t\t\t}\n   142→\t\tcase \"cluster\":\n   143→\t\t\tfilter.Cluster = &model.StringInput{Eq: &vals[0]}\n   144→\t\tcase \"start-time\": // ?startTime=1753707480-1754053139\n   145→\t\t\tst := strings.Split(vals[0], \"-\")\n   146→\t\t\tif len(st) != 2 {\n   147→\t\t\t\thandleError(fmt.Errorf(\"invalid query parameter value: startTime\"),\n   148→\t\t\t\t\thttp.StatusBadRequest, rw)\n   149→\t\t\t\treturn\n   150→\t\t\t}\n   151→\t\t\tfrom, err := strconv.ParseInt(st[0], 10, 64)\n   152→\t\t\tif err != nil {\n   153→\t\t\t\thandleError(err, http.StatusBadRequest, rw)\n   154→\t\t\t\treturn\n   155→\t\t\t}\n   156→\t\t\tto, err := strconv.ParseInt(st[1], 10, 64)\n   157→\t\t\tif err != nil {\n   158→\t\t\t\thandleError(err, http.StatusBadRequest, rw)\n   159→\t\t\t\treturn\n   160→\t\t\t}\n   161→\t\t\tufrom, uto := time.Unix(from, 0), time.Unix(to, 0)\n   162→\t\t\tfilter.StartTime = &config.TimeRange{From: &ufrom, To: &uto}\n   163→\t\tcase \"page\":\n   164→\t\t\tx, err := strconv.Atoi(vals[0])\n   165→\t\t\tif err != nil {\n   166→\t\t\t\thandleError(err, http.StatusBadRequest, rw)\n   167→\t\t\t\treturn\n   168→\t\t\t}\n   169→\t\t\tpage.Page = x\n   170→\t\tcase \"items-per-page\":\n   171→\t\t\tx, err := strconv.Atoi(vals[0])\n   172→\t\t\tif err != nil {\n   173→\t\t\t\thandleError(err, http.StatusBadRequest, rw)\n   174→\t\t\t\treturn\n   175→\t\t\t}\n   176→\t\t\tpage.ItemsPerPage = x\n   177→\t\tcase \"with-metadata\":\n   178→\t\t\twithMetadata = true\n   179→\t\tdefault:\n   180→\t\t\thandleError(fmt.Errorf(\"invalid query parameter: %s\", key),\n   181→\t\t\t\thttp.StatusBadRequest, rw)\n   182→\t\t\treturn\n   183→\t\t}\n   184→\t}\n   185→\n   186→\tjobs, err := api.JobRepository.QueryJobs(r.Context(), []*model.JobFilter{filter}, page, order)\n   187→\tif err != nil {\n   188→\t\thandleError(err, http.StatusInternalServerError, rw)\n   189→\t\treturn\n   190→\t}\n   191→\n   192→\tresults := make([]*schema.Job, 0, len(jobs))\n   193→\tfor _, job := range jobs {\n   194→\t\tif withMetadata {\n   195→\t\t\tif _, err = api.JobRepository.FetchMetadata(job); err != nil {\n   196→\t\t\t\thandleError(err, http.StatusInternalServerError, rw)\n   197→\t\t\t\treturn\n   198→\t\t\t}\n   199→\t\t}\n   200→"}]},"uuid":"8fa28d9a-01e0-42a6-90c9-b57102ff1253","timestamp":"2026-03-16T10:18:51.830Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"06455334-fd48-4615-b71c-7833878dbe31","timestamp":"2026-03-16T10:18:52.270Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"06455334-fd48-4615-b71c-7833878dbe31","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:52.307Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_014RpU7fRmzbTvy6u5LUG6sy","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0138fSPJx1XBMMc57JEsMKjS","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","limit":300},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":32692,"cache_read_input_tokens":42461,"cache_creation":{"ephemeral_5m_input_tokens":32692,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6uZ2XXuQVqpSoyuCh","uuid":"09122b3a-f95b-4190-800f-1261e69713f0"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"034bec39-c50a-4c61-af67-9340a163e069","timestamp":"2026-03-16T10:18:52.307Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"034bec39-c50a-4c61-af67-9340a163e069","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0138fSPJx1XBMMc57JEsMKjS","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"database/sql\"\n    10→\t\"encoding/json\"\n    11→\t\"strings\"\n    12→\t\"sync\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n    21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n    23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    24→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n    25→)\n    26→\n    27→// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n    28→// It mirrors the functionality of the REST API but uses NATS messaging with\n    29→// InfluxDB line protocol as the message format.\n    30→//\n    31→// # Message Format\n    32→//\n    33→// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n    34→// with the following structure:\n    35→//\n    36→//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n    37→//\n    38→// # Job Events\n    39→//\n    40→// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n    41→//\n    42→//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n    43→//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n    44→//\n    45→// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n    46→//\n    47→// Example job start message:\n    48→//\n    49→//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n    50→//\n    51→// # Node State Events\n    52→//\n    53→// Node state updates use the \"nodestate\" measurement with cluster information:\n    54→//\n    55→//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n    56→//\n    57→// The JSON payload follows the UpdateNodeStatesRequest structure.\n    58→//\n    59→// Example node state message:\n    60→//\n    61→//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\n    62→type NatsAPI struct {\n    63→\tJobRepository *repository.JobRepository\n    64→\t// RepositoryMutex protects job creation operations from race conditions\n    65→\t// when checking for duplicate jobs during startJob calls.\n    66→\tRepositoryMutex sync.Mutex\n    67→\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n    68→\t// when the database is under contention.\n    69→\tjobSem chan struct{}\n    70→\t// nodeSem limits concurrent NATS node state processing.\n    71→\tnodeSem chan struct{}\n    72→}\n    73→\n    74→// NewNatsAPI creates a new NatsAPI instance with default dependencies.\n    75→func NewNatsAPI() *NatsAPI {\n    76→\treturn &NatsAPI{\n    77→\t\tJobRepository: repository.GetJobRepository(),\n    78→\t\tjobSem:        make(chan struct{}, 8),\n    79→\t\tnodeSem:       make(chan struct{}, 2),\n    80→\t}\n    81→}\n    82→\n    83→// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n    84→// Returns an error if the NATS client is not available or subscription fails.\n    85→func (api *NatsAPI) StartSubscriptions() error {\n    86→\tclient := nats.GetClient()\n    87→\tif client == nil {\n    88→\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n    89→\t\treturn nil\n    90→\t}\n    91→\n    92→\tif config.Keys.APISubjects != nil {\n    93→\n    94→\t\ts := config.Keys.APISubjects\n    95→\n    96→\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n    97→\t\t\treturn err\n    98→\t\t}\n    99→\n   100→\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n   101→\t\t\treturn err\n   102→\t\t}\n   103→\n   104→\t\tcclog.Info(\"NATS API subscriptions started\")\n   105→\t}\n   106→\treturn nil\n   107→}\n   108→\n   109→// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n   110→// Validates that required tags and fields are present before processing.\n   111→func (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n   112→\tfunction, ok := msg.GetTag(\"function\")\n   113→\tif !ok {\n   114→\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n   115→\t\treturn\n   116→\t}\n   117→\n   118→\tswitch function {\n   119→\tcase \"start_job\":\n   120→\t\tv, ok := msg.GetEventValue()\n   121→\t\tif !ok {\n   122→\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n   123→\t\t\treturn\n   124→\t\t}\n   125→\t\tapi.handleStartJob(v)\n   126→\n   127→\tcase \"stop_job\":\n   128→\t\tv, ok := msg.GetEventValue()\n   129→\t\tif !ok {\n   130→\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n   131→\t\t\treturn\n   132→\t\t}\n   133→\t\tapi.handleStopJob(v)\n   134→\n   135→\tdefault:\n   136→\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n   137→\t}\n   138→}\n   139→\n   140→// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n   141→// The message must be in line protocol format with measurement=\"job\" and include:\n   142→//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n   143→//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n   144→//\n   145→// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\n   146→func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n   147→\tapi.jobSem <- struct{}{}\n   148→\tdefer func() { <-api.jobSem }()\n   149→\n   150→\tif len(data) == 0 {\n   151→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n   152→\t\treturn\n   153→\t}\n   154→\n   155→\td := influx.NewDecoderWithBytes(data)\n   156→\n   157→\tfor d.Next() {\n   158→\t\tm, err := receivers.DecodeInfluxMessage(d)\n   159→\t\tif err != nil {\n   160→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n   161→\t\t\treturn\n   162→\t\t}\n   163→\n   164→\t\tif !m.IsEvent() {\n   165→\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n   166→\t\t\tcontinue\n   167→\t\t}\n   168→\n   169→\t\tif m.Name() == \"job\" {\n   170→\t\t\tapi.processJobEvent(m)\n   171→\t\t} else {\n   172→\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n   173→\t\t}\n   174→\t}\n   175→}\n   176→\n   177→// handleStartJob processes job start messages received via NATS.\n   178→// The payload parameter contains JSON following the schema.Job structure.\n   179→// Jobs are validated, checked for duplicates, and inserted into the database.\n   180→func (api *NatsAPI) handleStartJob(payload string) {\n   181→\tif payload == \"\" {\n   182→\t\tcclog.Error(\"NATS start job: payload is empty\")\n   183→\t\treturn\n   184→\t}\n   185→\treq := schema.Job{\n   186→\t\tShared:           \"none\",\n   187→\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n   188→\t}\n   189→\n   190→\tdec := json.NewDecoder(strings.NewReader(payload))\n   191→\tdec.DisallowUnknownFields()\n   192→\tif err := dec.Decode(&req); err != nil {\n   193→\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n   194→\t\treturn\n   195→\t}\n   196→\n   197→\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n   198→\treq.State = schema.JobStateRunning\n   199→\n   200→\tif err := importer.SanityChecks(&req); err != nil {\n   201→\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n   202→\t\treturn\n   203→\t}\n   204→\n   205→\tvar unlockOnce sync.Once\n   206→\tapi.RepositoryMutex.Lock()\n   207→\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n   208→\n   209→\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n   210→\tif err != nil && err != sql.ErrNoRows {\n   211→\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n   212→\t\treturn\n   213→\t}\n   214→\tif err == nil {\n   215→\t\tfor _, job := range jobs {\n   216→\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n   217→\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n   218→\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n   219→\t\t\t\treturn\n   220→\t\t\t}\n   221→\t\t}\n   222→\t}\n   223→\n   224→\t// When tags are present, insert directly into the job table so that the\n   225→\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n   226→\tvar id int64\n   227→\tif len(req.Tags) > 0 {\n   228→\t\tid, err = api.JobRepository.StartDirect(&req)\n   229→\t} else {\n   230→\t\tid, err = api.JobRepository.Start(&req)\n   231→\t}\n   232→\tif err != nil {\n   233→\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n   234→\t\treturn\n   235→\t}\n   236→\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n   237→\n   238→\tfor _, tag := range req.Tags {\n   239→\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n   240→\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n   241→\t\t\treturn\n   242→\t\t}\n   243→\t}\n   244→\n   245→\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n   246→\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n   247→}\n   248→\n   249→// handleStopJob processes job stop messages received via NATS.\n   250→// The payload parameter contains JSON following the StopJobAPIRequest structure.\n   251→// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\n   252→func (api *NatsAPI) handleStopJob(payload string) {\n   253→\tif payload == \"\" {\n   254→\t\tcclog.Error(\"NATS stop job: payload is empty\")\n   255→\t\treturn\n   256→\t}\n   257→\tvar req StopJobAPIRequest\n   258→\n   259→\tdec := json.NewDecoder(strings.NewReader(payload))\n   260→\tdec.DisallowUnknownFields()\n   261→\tif err := dec.Decode(&req); err != nil {\n   262→\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n   263→\t\treturn\n   264→\t}\n   265→\n   266→\tif req.JobID == nil {\n   267→\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n   268→\t\treturn\n   269→\t}\n   270→\n   271→\tisCached := false\n   272→\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n   273→\tif err != nil {\n   274→\t\t// Not in cache, try main job table\n   275→\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n   276→\t\tif err != nil {\n   277→\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n   278→\t\t\treturn\n   279→\t\t}\n   280→\t} else {\n   281→\t\tisCached = true\n   282→\t}\n   283→\n   284→\tif job.State != schema.JobStateRunning {\n   285→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n   286→\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n   287→\t\treturn\n   288→\t}\n   289→\n   290→\tif job.StartTime > req.StopTime {\n   291→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n   292→\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n   293→\t\treturn\n   294→\t}\n   295→\n   296→\tif req.State != \"\" && !req.State.Valid() {\n   297→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n   298→\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n   299→\t\treturn\n   300→\t} else if req.State == \"\" {"}]},"uuid":"68f92ccf-dcd2-44c7-ae0c-9cc92fa16a31","timestamp":"2026-03-16T10:18:52.312Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"e7c52f97-a672-42e1-b458-852a45a55359","timestamp":"2026-03-16T10:18:52.484Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"e7c52f97-a672-42e1-b458-852a45a55359","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:52.499Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_014RpU7fRmzbTvy6u5LUG6sy","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FrMUW3tZPqHat9qa6eqbpH","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go","limit":200},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":32692,"cache_read_input_tokens":42461,"cache_creation":{"ephemeral_5m_input_tokens":32692,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6uZ2XXuQVqpSoyuCh","uuid":"6666959d-9375-46e4-adf2-6f6b7fa0f062"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"c970c9a1-3efa-4cc4-ab9b-477603861792","timestamp":"2026-03-16T10:18:52.499Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"c970c9a1-3efa-4cc4-ab9b-477603861792","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:52.611Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01FswytQvCqoFYSU3AmH6q5f","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Hv1yuvYBP6YWQkJoztcfGA","name":"Glob","input":{"pattern":"**/internal/repository/*.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":3935,"cache_read_input_tokens":13439,"cache_creation":{"ephemeral_5m_input_tokens":3935,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b72dB5f1EUEvnwKueu","uuid":"3c730341-fccc-48d2-90e1-5930af07d7e4"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"de9b01d3-2e31-411a-938e-0c99c9204886","timestamp":"2026-03-16T10:18:52.612Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"de9b01d3-2e31-411a-938e-0c99c9204886","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:52.697Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_018BvSFRrKwvkCJRXsXqyqUE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GVe7iDsxjAWTtf2dJJLYMn","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/commitJobService.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":9364,"cache_read_input_tokens":19050,"cache_creation":{"ephemeral_5m_input_tokens":9364,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6ztkQgkP8T8PDj2ki","uuid":"8b56c79f-de9a-4d8a-a5d0-0c28725410d9"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"16f0a124-a349-43c9-b827-a995fb5d376e","timestamp":"2026-03-16T10:18:52.697Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"16f0a124-a349-43c9-b827-a995fb5d376e","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GVe7iDsxjAWTtf2dJJLYMn","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"time\"\n    10→\n    11→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    13→\t\"github.com/go-co-op/gocron/v2\"\n    14→)\n    15→\n    16→func RegisterCommitJobService() {\n    17→\tvar frequency string\n    18→\tif Keys.CommitJobWorker != \"\" {\n    19→\t\tfrequency = Keys.CommitJobWorker\n    20→\t} else {\n    21→\t\tfrequency = \"2m\"\n    22→\t}\n    23→\n    24→\td, err := parseDuration(frequency)\n    25→\tif err != nil {\n    26→\t\tcclog.Errorf(\"RegisterCommitJobService: %v\", err)\n    27→\t\treturn\n    28→\t}\n    29→\n    30→\tcclog.Infof(\"register commitJob service with %s interval\", frequency)\n    31→\n    32→\ts.NewJob(gocron.DurationJob(d),\n    33→\t\tgocron.NewTask(\n    34→\t\t\tfunc() {\n    35→\t\t\t\tstart := time.Now()\n    36→\t\t\t\tcclog.Debugf(\"jobcache sync started at %s\\n\", start.Format(time.RFC3339))\n    37→\t\t\t\tjobs, _ := jobRepo.SyncJobs()\n    38→\t\t\t\trepository.CallJobStartHooks(jobs)\n    39→\t\t\t\tcclog.Debugf(\"jobcache sync and job callbacks are done and took %s\\n\", time.Since(start))\n    40→\t\t\t}))\n    41→}\n    42→"}]},"uuid":"ad4207db-30ea-473c-9763-0b212db62b2f","timestamp":"2026-03-16T10:18:52.699Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"f7507017-4225-4c02-979d-0ff1692fe91c","timestamp":"2026-03-16T10:18:52.699Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"f7507017-4225-4c02-979d-0ff1692fe91c","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FrMUW3tZPqHat9qa6eqbpH","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"fmt\"\n    10→\t\"maps\"\n    11→\t\"net/http\"\n    12→\t\"strings\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→)\n    22→\n    23→type UpdateNodeStatesRequest struct {\n    24→\tNodes   []schema.NodePayload `json:\"nodes\"`\n    25→\tCluster string               `json:\"cluster\" example:\"fritz\"`\n    26→}\n    27→\n    28→// metricListToNames converts a map of metric configurations to a list of metric names\n    29→func metricListToNames(metricList map[string]*schema.Metric) []string {\n    30→\tnames := make([]string, 0, len(metricList))\n    31→\tfor name := range metricList {\n    32→\t\tnames = append(names, name)\n    33→\t}\n    34→\treturn names\n    35→}\n    36→\n    37→// this routine assumes that only one of them exists per node\n    38→func determineState(states []string) schema.SchedulerState {\n    39→\tfor _, state := range states {\n    40→\t\tswitch strings.ToLower(state) {\n    41→\t\tcase \"allocated\":\n    42→\t\t\treturn schema.NodeStateAllocated\n    43→\t\tcase \"reserved\":\n    44→\t\t\treturn schema.NodeStateReserved\n    45→\t\tcase \"idle\":\n    46→\t\t\treturn schema.NodeStateIdle\n    47→\t\tcase \"down\":\n    48→\t\t\treturn schema.NodeStateDown\n    49→\t\tcase \"mixed\":\n    50→\t\t\treturn schema.NodeStateMixed\n    51→\t\t}\n    52→\t}\n    53→\n    54→\treturn schema.NodeStateUnknown\n    55→}\n    56→\n    57→// updateNodeStates godoc\n    58→// @summary     Deliver updated Slurm node states\n    59→// @tags Nodestates\n    60→// @description Returns a JSON-encoded list of users.\n    61→// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n    62→// @produce     json\n    63→// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n    64→// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n    65→// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n    66→// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n    67→// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n    68→// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n    69→// @security    ApiKeyAuth\n    70→// @router      /api/nodestats/ [post]\n    71→func (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n    72→\t// Parse request body\n    73→\treq := UpdateNodeStatesRequest{}\n    74→\tif err := decode(r.Body, &req); err != nil {\n    75→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n    76→\t\t\thttp.StatusBadRequest, rw)\n    77→\t\treturn\n    78→\t}\n    79→\trequestReceived := time.Now().Unix()\n    80→\trepo := repository.GetNodeRepository()\n    81→\n    82→\tm := make(map[string][]string)\n    83→\tmetricNames := make(map[string][]string)\n    84→\thealthResults := make(map[string]metricstore.HealthCheckResult)\n    85→\n    86→\tstartMs := time.Now()\n    87→\n    88→\t// Step 1: Build nodeList and metricList per subcluster\n    89→\tfor _, node := range req.Nodes {\n    90→\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n    91→\t\t\tm[sc] = append(m[sc], node.Hostname)\n    92→\t\t}\n    93→\t}\n    94→\n    95→\tfor sc := range m {\n    96→\t\tif sc != \"\" {\n    97→\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n    98→\t\t\tmetricNames[sc] = metricListToNames(metricList)\n    99→\t\t}\n   100→\t}\n   101→\n   102→\t// Step 2: Determine which metric store to query and perform health check\n   103→\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n   104→\tif err != nil {\n   105→\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n   106→\t} else {\n   107→\t\tfor sc, nl := range m {\n   108→\t\t\tif sc != \"\" {\n   109→\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n   110→\t\t\t\t\tmaps.Copy(healthResults, results)\n   111→\t\t\t\t}\n   112→\t\t\t}\n   113→\t\t}\n   114→\t}\n   115→\n   116→\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n   117→\tstartDB := time.Now()\n   118→\n   119→\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n   120→\tfor _, node := range req.Nodes {\n   121→\t\tstate := determineState(node.States)\n   122→\t\thealthState := schema.MonitoringStateFailed\n   123→\t\tvar healthMetrics string\n   124→\t\tif result, ok := healthResults[node.Hostname]; ok {\n   125→\t\t\thealthState = result.State\n   126→\t\t\thealthMetrics = result.HealthMetrics\n   127→\t\t}\n   128→\t\tnodeState := schema.NodeStateDB{\n   129→\t\t\tTimeStamp:       requestReceived,\n   130→\t\t\tNodeState:       state,\n   131→\t\t\tCpusAllocated:   node.CpusAllocated,\n   132→\t\t\tMemoryAllocated: node.MemoryAllocated,\n   133→\t\t\tGpusAllocated:   node.GpusAllocated,\n   134→\t\t\tHealthState:     healthState,\n   135→\t\t\tHealthMetrics:   healthMetrics,\n   136→\t\t\tJobsRunning:     node.JobsRunning,\n   137→\t\t}\n   138→\t\tupdates = append(updates, repository.NodeStateUpdate{\n   139→\t\t\tHostname:  node.Hostname,\n   140→\t\t\tCluster:   req.Cluster,\n   141→\t\t\tNodeState: &nodeState,\n   142→\t\t})\n   143→\t}\n   144→\n   145→\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n   146→\t\tcclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n   147→\t}\n   148→\n   149→\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n   150→}\n   151→"}]},"uuid":"9c0cfab7-e9bd-4969-b758-0f23af3316fb","timestamp":"2026-03-16T10:18:52.504Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"38f8eff9-fb41-4be7-899f-5b163e75c8a1","timestamp":"2026-03-16T10:18:52.723Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"38f8eff9-fb41-4be7-899f-5b163e75c8a1","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:52.749Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_014RpU7fRmzbTvy6u5LUG6sy","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JosVmFqzYDA93aNdHQs2th","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/user.go","limit":200},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":32692,"cache_read_input_tokens":42461,"cache_creation":{"ephemeral_5m_input_tokens":32692,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6uZ2XXuQVqpSoyuCh","uuid":"d8545824-1bd7-405d-96bf-deb7db5c79cb"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"16133c4f-e6f2-4137-8f84-82593c680f07","timestamp":"2026-03-16T10:18:52.749Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"16133c4f-e6f2-4137-8f84-82593c680f07","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JosVmFqzYDA93aNdHQs2th","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"encoding/json\"\n    10→\t\"fmt\"\n    11→\t\"net/http\"\n    12→\n    13→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    15→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    16→\t\"github.com/go-chi/chi/v5\"\n    17→)\n    18→\n    19→type APIReturnedUser struct {\n    20→\tUsername string   `json:\"username\"`\n    21→\tName     string   `json:\"name\"`\n    22→\tRoles    []string `json:\"roles\"`\n    23→\tEmail    string   `json:\"email\"`\n    24→\tProjects []string `json:\"projects\"`\n    25→}\n    26→\n    27→// getUsers godoc\n    28→// @summary     Returns a list of users\n    29→// @tags User\n    30→// @description Returns a JSON-encoded list of users.\n    31→// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n    32→// @produce     json\n    33→// @param       not-just-user query bool true \"If returned list should contain all users or only users with additional special roles\"\n    34→// @success     200     {array} api.APIReturnedUser \"List of users returned successfully\"\n    35→// @failure     400     {string} string             \"Bad Request\"\n    36→// @failure     401     {string} string             \"Unauthorized\"\n    37→// @failure     403     {string} string             \"Forbidden\"\n    38→// @failure     500     {string} string             \"Internal Server Error\"\n    39→// @security    ApiKeyAuth\n    40→// @router      /api/users/ [get]\n    41→func (api *RestAPI) getUsers(rw http.ResponseWriter, r *http.Request) {\n    42→\t// SecuredCheck() only worked with TokenAuth: Removed\n    43→\n    44→\tif user := repository.GetUserFromContext(r.Context()); !user.HasRole(schema.RoleAdmin) {\n    45→\t\thandleError(fmt.Errorf(\"only admins are allowed to fetch a list of users\"), http.StatusForbidden, rw)\n    46→\t\treturn\n    47→\t}\n    48→\n    49→\tusers, err := repository.GetUserRepository().ListUsers(r.URL.Query().Get(\"not-just-user\") == \"true\")\n    50→\tif err != nil {\n    51→\t\thandleError(fmt.Errorf(\"listing users failed: %w\", err), http.StatusInternalServerError, rw)\n    52→\t\treturn\n    53→\t}\n    54→\n    55→\trw.Header().Set(\"Content-Type\", \"application/json\")\n    56→\tif err := json.NewEncoder(rw).Encode(users); err != nil {\n    57→\t\tcclog.Errorf(\"Failed to encode users response: %v\", err)\n    58→\t}\n    59→}\n    60→\n    61→// updateUser godoc\n    62→// @summary     Update user roles and projects\n    63→// @tags User\n    64→// @description Allows admins to add/remove roles and projects for a user\n    65→// @produce     plain\n    66→// @param       id          path   string  true  \"Username\"\n    67→// @param       add-role    formData string false \"Role to add\"\n    68→// @param       remove-role formData string false \"Role to remove\"\n    69→// @param       add-project formData string false \"Project to add\"\n    70→// @param       remove-project formData string false \"Project to remove\"\n    71→// @success     200     {string} string \"Success message\"\n    72→// @failure     403     {object} api.ErrorResponse \"Forbidden\"\n    73→// @failure     422     {object} api.ErrorResponse \"Unprocessable Entity\"\n    74→// @security    ApiKeyAuth\n    75→// @router      /api/user/{id} [post]\n    76→func (api *RestAPI) updateUser(rw http.ResponseWriter, r *http.Request) {\n    77→\t// SecuredCheck() only worked with TokenAuth: Removed\n    78→\n    79→\tif user := repository.GetUserFromContext(r.Context()); !user.HasRole(schema.RoleAdmin) {\n    80→\t\thandleError(fmt.Errorf(\"only admins are allowed to update a user\"), http.StatusForbidden, rw)\n    81→\t\treturn\n    82→\t}\n    83→\n    84→\t// Get Values\n    85→\tnewrole := r.FormValue(\"add-role\")\n    86→\tdelrole := r.FormValue(\"remove-role\")\n    87→\tnewproj := r.FormValue(\"add-project\")\n    88→\tdelproj := r.FormValue(\"remove-project\")\n    89→\n    90→\trw.Header().Set(\"Content-Type\", \"application/json\")\n    91→\n    92→\t// Handle role updates\n    93→\tif newrole != \"\" {\n    94→\t\tif err := repository.GetUserRepository().AddRole(r.Context(), chi.URLParam(r, \"id\"), newrole); err != nil {\n    95→\t\t\thandleError(fmt.Errorf(\"adding role failed: %w\", err), http.StatusUnprocessableEntity, rw)\n    96→\t\t\treturn\n    97→\t\t}\n    98→\t\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{Message: \"Add Role Success\"}); err != nil {\n    99→\t\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n   100→\t\t}\n   101→\t} else if delrole != \"\" {\n   102→\t\tif err := repository.GetUserRepository().RemoveRole(r.Context(), chi.URLParam(r, \"id\"), delrole); err != nil {\n   103→\t\t\thandleError(fmt.Errorf(\"removing role failed: %w\", err), http.StatusUnprocessableEntity, rw)\n   104→\t\t\treturn\n   105→\t\t}\n   106→\t\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{Message: \"Remove Role Success\"}); err != nil {\n   107→\t\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n   108→\t\t}\n   109→\t} else if newproj != \"\" {\n   110→\t\tif err := repository.GetUserRepository().AddProject(r.Context(), chi.URLParam(r, \"id\"), newproj); err != nil {\n   111→\t\t\thandleError(fmt.Errorf(\"adding project failed: %w\", err), http.StatusUnprocessableEntity, rw)\n   112→\t\t\treturn\n   113→\t\t}\n   114→\t\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{Message: \"Add Project Success\"}); err != nil {\n   115→\t\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n   116→\t\t}\n   117→\t} else if delproj != \"\" {\n   118→\t\tif err := repository.GetUserRepository().RemoveProject(r.Context(), chi.URLParam(r, \"id\"), delproj); err != nil {\n   119→\t\t\thandleError(fmt.Errorf(\"removing project failed: %w\", err), http.StatusUnprocessableEntity, rw)\n   120→\t\t\treturn\n   121→\t\t}\n   122→\t\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{Message: \"Remove Project Success\"}); err != nil {\n   123→\t\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n   124→\t\t}\n   125→\t} else {\n   126→\t\thandleError(fmt.Errorf(\"no operation specified: must provide add-role, remove-role, add-project, or remove-project\"), http.StatusBadRequest, rw)\n   127→\t}\n   128→}\n   129→\n   130→// createUser godoc\n   131→// @summary     Create a new user\n   132→// @tags User\n   133→// @description Creates a new user with specified credentials and role\n   134→// @produce     plain\n   135→// @param       username formData string true  \"Username\"\n   136→// @param       password formData string false \"Password (not required for API users)\"\n   137→// @param       role     formData string true  \"User role\"\n   138→// @param       name     formData string false \"Full name\"\n   139→// @param       email    formData string false \"Email address\"\n   140→// @param       project  formData string false \"Project (required for managers)\"\n   141→// @success     200     {string} string \"Success message\"\n   142→// @failure     400     {object} api.ErrorResponse \"Bad Request\"\n   143→// @failure     403     {object} api.ErrorResponse \"Forbidden\"\n   144→// @failure     422     {object} api.ErrorResponse \"Unprocessable Entity\"\n   145→// @security    ApiKeyAuth\n   146→// @router      /api/users/ [post]\n   147→func (api *RestAPI) createUser(rw http.ResponseWriter, r *http.Request) {\n   148→\t// SecuredCheck() only worked with TokenAuth: Removed\n   149→\n   150→\trw.Header().Set(\"Content-Type\", \"text/plain\")\n   151→\tme := repository.GetUserFromContext(r.Context())\n   152→\tif !me.HasRole(schema.RoleAdmin) {\n   153→\t\thandleError(fmt.Errorf(\"only admins are allowed to create new users\"), http.StatusForbidden, rw)\n   154→\t\treturn\n   155→\t}\n   156→\n   157→\tusername, password, role, name, email, project := r.FormValue(\"username\"),\n   158→\t\tr.FormValue(\"password\"), r.FormValue(\"role\"), r.FormValue(\"name\"),\n   159→\t\tr.FormValue(\"email\"), r.FormValue(\"project\")\n   160→\n   161→\t// Validate username length\n   162→\tif len(username) == 0 || len(username) > 100 {\n   163→\t\thandleError(fmt.Errorf(\"username must be between 1 and 100 characters\"), http.StatusBadRequest, rw)\n   164→\t\treturn\n   165→\t}\n   166→\n   167→\tif len(password) == 0 && role != schema.GetRoleString(schema.RoleAPI) {\n   168→\t\thandleError(fmt.Errorf(\"only API users are allowed to have a blank password (login will be impossible)\"), http.StatusBadRequest, rw)\n   169→\t\treturn\n   170→\t}\n   171→\n   172→\tif len(project) != 0 && role != schema.GetRoleString(schema.RoleManager) {\n   173→\t\thandleError(fmt.Errorf(\"only managers require a project (can be changed later)\"), http.StatusBadRequest, rw)\n   174→\t\treturn\n   175→\t} else if len(project) == 0 && role == schema.GetRoleString(schema.RoleManager) {\n   176→\t\thandleError(fmt.Errorf(\"managers require a project to manage (can be changed later)\"), http.StatusBadRequest, rw)\n   177→\t\treturn\n   178→\t}\n   179→\n   180→\tif err := repository.GetUserRepository().AddUser(&schema.User{\n   181→\t\tUsername: username,\n   182→\t\tName:     name,\n   183→\t\tPassword: password,\n   184→\t\tEmail:    email,\n   185→\t\tProjects: []string{project},\n   186→\t\tRoles:    []string{role},\n   187→\t}); err != nil {\n   188→\t\thandleError(fmt.Errorf(\"adding user failed: %w\", err), http.StatusUnprocessableEntity, rw)\n   189→\t\treturn\n   190→\t}\n   191→\n   192→\tfmt.Fprintf(rw, \"User %v successfully created!\\n\", username)\n   193→}\n   194→\n   195→// deleteUser godoc\n   196→// @summary     Delete a user\n   197→// @tags User\n   198→// @description Deletes a user from the system\n   199→// @produce     plain\n   200→// @param       username formData string true \"Username to delete\""}]},"uuid":"cfb5b7b8-055b-4956-adeb-e63317b9b0c9","timestamp":"2026-03-16T10:18:52.751Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"7d4200d1-0800-4d5c-be33-f38c9788a1c2","timestamp":"2026-03-16T10:18:52.762Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"c19e9244-b2e7-4f27-b3b5-14dc88e3b938","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QLb9mfXyhKSD5PdVWp1vgm","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"math\"\n    11→\t\"time\"\n    12→\n    13→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    14→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    16→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    17→\tsq \"github.com/Masterminds/squirrel\"\n    18→\t\"github.com/go-co-op/gocron/v2\"\n    19→)\n    20→\n    21→func RegisterFootprintWorker() {\n    22→\tvar frequency string\n    23→\tif Keys.FootprintWorker != \"\" {\n    24→\t\tfrequency = Keys.FootprintWorker\n    25→\t} else {\n    26→\t\tfrequency = \"10m\"\n    27→\t}\n    28→\n    29→\td, err := parseDuration(frequency)\n    30→\tif err != nil {\n    31→\t\tcclog.Errorf(\"RegisterFootprintWorker: %v\", err)\n    32→\t\treturn\n    33→\t}\n    34→\n    35→\tcclog.Infof(\"Register Footprint Update service with %s interval\", frequency)\n    36→\n    37→\ts.NewJob(gocron.DurationJob(d),\n    38→\t\tgocron.NewTask(\n    39→\t\t\tfunc() {\n    40→\t\t\t\ts := time.Now()\n    41→\t\t\t\tc := 0\n    42→\t\t\t\tce := 0\n    43→\t\t\t\tcl := 0\n    44→\t\t\t\tcclog.Infof(\"Update Footprints started at %s\", s.Format(time.RFC3339))\n    45→\n    46→\t\t\t\tfor _, cluster := range archive.Clusters {\n    47→\t\t\t\t\tsCluster := time.Now()\n    48→\t\t\t\t\tjobs, err := jobRepo.FindRunningJobs(cluster.Name)\n    49→\t\t\t\t\tif err != nil {\n    50→\t\t\t\t\t\tcontinue\n    51→\t\t\t\t\t}\n    52→\t\t\t\t\t// NOTE: Additional SubCluster Loop Could Allow For Limited List Of Footprint-Metrics Only.\n    53→\t\t\t\t\t//       - Chunk-Size Would Then Be 'SubCluster' (Running Jobs, Transactions) as Lists Can Change Within SCs\n    54→\t\t\t\t\t//       - Would Require Review of 'updateFootprint' Usage (Logic Could Possibly Be Included Here Completely)\n    55→\t\t\t\t\tallMetrics := make([]string, 0)\n    56→\t\t\t\t\tmetricConfigs := archive.GetCluster(cluster.Name).MetricConfig\n    57→\t\t\t\t\tfor _, mc := range metricConfigs {\n    58→\t\t\t\t\t\tallMetrics = append(allMetrics, mc.Name)\n    59→\t\t\t\t\t}\n    60→\n    61→\t\t\t\t\tpendingStatements := []sq.UpdateBuilder{}\n    62→\n    63→\t\t\t\t\tfor _, job := range jobs {\n    64→\t\t\t\t\t\tcclog.Debugf(\"Prepare job %d\", job.JobID)\n    65→\t\t\t\t\t\tcl++\n    66→\n    67→\t\t\t\t\t\tsJob := time.Now()\n    68→\n    69→\t\t\t\t\t\tms, err := metricdispatch.GetMetricDataRepo(job.Cluster, job.SubCluster)\n    70→\t\t\t\t\t\tif err != nil {\n    71→\t\t\t\t\t\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n    72→\t\t\t\t\t\t\t\tjob.Cluster, job.SubCluster, err.Error())\n    73→\t\t\t\t\t\t\tcontinue\n    74→\t\t\t\t\t\t}\n    75→\n    76→\t\t\t\t\t\tjobStats, err := ms.LoadStats(job, allMetrics, context.Background())\n    77→\t\t\t\t\t\tif err != nil {\n    78→\t\t\t\t\t\t\tcclog.Errorf(\"error wile loading job data stats for footprint update: %v\", err)\n    79→\t\t\t\t\t\t\tce++\n    80→\t\t\t\t\t\t\tcontinue\n    81→\t\t\t\t\t\t}\n    82→\n    83→\t\t\t\t\t\tjob.Statistics = make(map[string]schema.JobStatistics)\n    84→\n    85→\t\t\t\t\t\tfor _, metric := range allMetrics {\n    86→\t\t\t\t\t\t\tavg, min, max := 0.0, 0.0, 0.0\n    87→\t\t\t\t\t\t\tdata, ok := jobStats[metric] // JobStats[Metric1:[Hostname1:[Stats], Hostname2:[Stats], ...], Metric2[...] ...]\n    88→\t\t\t\t\t\t\tif ok {\n    89→\t\t\t\t\t\t\t\tfor _, res := range job.Resources {\n    90→\t\t\t\t\t\t\t\t\thostStats, ok := data[res.Hostname]\n    91→\t\t\t\t\t\t\t\t\tif ok {\n    92→\t\t\t\t\t\t\t\t\t\tavg += hostStats.Avg\n    93→\t\t\t\t\t\t\t\t\t\tmin = math.Min(min, hostStats.Min)\n    94→\t\t\t\t\t\t\t\t\t\tmax = math.Max(max, hostStats.Max)\n    95→\t\t\t\t\t\t\t\t\t}\n    96→\n    97→\t\t\t\t\t\t\t\t}\n    98→\t\t\t\t\t\t\t}\n    99→\n   100→\t\t\t\t\t\t\t// Add values rounded to 2 digits: repo.LoadStats may return unrounded\n   101→\t\t\t\t\t\t\tjob.Statistics[metric] = schema.JobStatistics{\n   102→\t\t\t\t\t\t\t\tUnit: schema.Unit{\n   103→\t\t\t\t\t\t\t\t\tPrefix: archive.GetMetricConfig(job.Cluster, metric).Unit.Prefix,\n   104→\t\t\t\t\t\t\t\t\tBase:   archive.GetMetricConfig(job.Cluster, metric).Unit.Base,\n   105→\t\t\t\t\t\t\t\t},\n   106→\t\t\t\t\t\t\t\tAvg: (math.Round((avg/float64(job.NumNodes))*100) / 100),\n   107→\t\t\t\t\t\t\t\tMin: (math.Round(min*100) / 100),\n   108→\t\t\t\t\t\t\t\tMax: (math.Round(max*100) / 100),\n   109→\t\t\t\t\t\t\t}\n   110→\t\t\t\t\t\t}\n   111→\n   112→\t\t\t\t\t\t// Build Statement per Job, Add to Pending Array\n   113→\t\t\t\t\t\tstmt := sq.Update(\"job\")\n   114→\t\t\t\t\t\tstmt, err = jobRepo.UpdateFootprint(stmt, job)\n   115→\t\t\t\t\t\tif err != nil {\n   116→\t\t\t\t\t\t\tcclog.Errorf(\"update job (dbid: %d) statement build failed at footprint step: %s\", *job.ID, err.Error())\n   117→\t\t\t\t\t\t\tce++\n   118→\t\t\t\t\t\t\tcontinue\n   119→\t\t\t\t\t\t}\n   120→\t\t\t\t\t\tstmt = stmt.Where(\"job.id = ?\", job.ID)\n   121→\n   122→\t\t\t\t\t\tpendingStatements = append(pendingStatements, stmt)\n   123→\t\t\t\t\t\tcclog.Debugf(\"Job %d took %s\", job.JobID, time.Since(sJob))\n   124→\t\t\t\t\t}\n   125→\n   126→\t\t\t\t\tt, err := jobRepo.TransactionInit()\n   127→\t\t\t\t\tif err != nil {\n   128→\t\t\t\t\t\tcclog.Errorf(\"failed TransactionInit %v\", err)\n   129→\t\t\t\t\t\tcclog.Errorf(\"skipped %d transactions for cluster %s\", len(pendingStatements), cluster.Name)\n   130→\t\t\t\t\t\tce += len(pendingStatements)\n   131→\t\t\t\t\t} else {\n   132→\t\t\t\t\t\tfor _, ps := range pendingStatements {\n   133→\t\t\t\t\t\t\tquery, args, err := ps.ToSql()\n   134→\t\t\t\t\t\t\tif err != nil {\n   135→\t\t\t\t\t\t\t\tcclog.Errorf(\"failed in ToSQL conversion: %v\", err)\n   136→\t\t\t\t\t\t\t\tce++\n   137→\t\t\t\t\t\t\t} else {\n   138→\t\t\t\t\t\t\t\t// args...: Footprint-JSON, Energyfootprint-JSON, TotalEnergy, JobID\n   139→\t\t\t\t\t\t\t\tjobRepo.TransactionAdd(t, query, args...)\n   140→\t\t\t\t\t\t\t\tc++\n   141→\t\t\t\t\t\t\t}\n   142→\t\t\t\t\t\t}\n   143→\t\t\t\t\t\tjobRepo.TransactionEnd(t)\n   144→\t\t\t\t\t}\n   145→\t\t\t\t\tcclog.Debugf(\"Finish Cluster %s, took %s\\n\", cluster.Name, time.Since(sCluster))\n   146→\t\t\t\t}\n   147→\t\t\t\tcclog.Infof(\"Updating %d (of %d; Skipped %d) Footprints is done and took %s\", c, cl, ce, time.Since(s))\n   148→\t\t\t}))\n   149→}\n   150→"}]},"uuid":"456413bc-a565-41c3-8e87-0176895a1829","timestamp":"2026-03-16T10:18:53.748Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"62e873a3-baee-4dfc-bd4b-7561978a26db","timestamp":"2026-03-16T10:18:53.749Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"64a11e98-8055-4b1b-96dc-12e53e891a63","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AgTvRhCb8gogxUyXufTPVG","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"runtime\"\n    10→\n    11→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    13→\t\"github.com/go-co-op/gocron/v2\"\n    14→)\n    15→\n    16→func RegisterStopJobsExceedTime() {\n    17→\tcclog.Info(\"Register undead jobs service\")\n    18→\n    19→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(3, 0, 0))),\n    20→\t\tgocron.NewTask(\n    21→\t\t\tfunc() {\n    22→\t\t\t\terr := jobRepo.StopJobsExceedingWalltimeBy(config.Keys.StopJobsExceedingWalltime)\n    23→\t\t\t\tif err != nil {\n    24→\t\t\t\t\tcclog.Warnf(\"Error while looking for jobs exceeding their walltime: %s\", err.Error())\n    25→\t\t\t\t}\n    26→\t\t\t\truntime.GC()\n    27→\t\t\t}))\n    28→}\n    29→"}]},"uuid":"03034ea9-4ee9-4f15-8b41-a1bc34ca5277","timestamp":"2026-03-16T10:18:53.886Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"4c5ceac1-a9ff-4333-8da3-a644badda1f2","timestamp":"2026-03-16T10:18:53.917Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"403384bf-dcc2-4280-82ff-b68ed75734cd","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01McQ9T6QxDeit77LG46688e","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package repository provides data access and persistence layer for ClusterCockpit.\n     7→//\n     8→// This file implements tag management functionality for job categorization and classification.\n     9→// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n    10→// (via tagger plugins). The implementation includes role-based access control through\n    11→// tag scopes and maintains bidirectional consistency between the SQL database and\n    12→// the file-based job archive.\n    13→//\n    14→// Database Schema:\n    15→//\n    16→//\tCREATE TABLE tag (\n    17→//\t    id INTEGER PRIMARY KEY AUTOINCREMENT,\n    18→//\t    tag_type VARCHAR(255) NOT NULL,\n    19→//\t    tag_name VARCHAR(255) NOT NULL,\n    20→//\t    tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n    21→//\t    CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n    22→//\t);\n    23→//\n    24→//\tCREATE TABLE jobtag (\n    25→//\t    job_id INTEGER,\n    26→//\t    tag_id INTEGER,\n    27→//\t    PRIMARY KEY (job_id, tag_id),\n    28→//\t    FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n    29→//\t    FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n    30→//\t);\n    31→//\n    32→// The jobtag junction table enables many-to-many relationships between jobs and tags.\n    33→// CASCADE deletion ensures referential integrity when jobs or tags are removed.\n    34→package repository\n    35→\n    36→import (\n    37→\t\"errors\"\n    38→\t\"fmt\"\n    39→\t\"strings\"\n    40→\n    41→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    42→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    43→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    44→\tsq \"github.com/Masterminds/squirrel\"\n    45→)\n    46→\n    47→// Tag Scope Rules:\n    48→//\n    49→// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n    50→//\n    51→//  1. \"global\" - Visible to all users, can be used by anyone\n    52→//     Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n    53→//\n    54→//  2. \"private\" - Only visible to the creating user\n    55→//     Example: Personal notes like \"needs-review\", \"interesting-case\"\n    56→//\n    57→//  3. \"admin\" - Only visible to users with admin or support roles\n    58→//     Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n    59→//\n    60→// Authorization Rules:\n    61→//   - Regular users can only create/see \"global\" and their own \"private\" tags\n    62→//   - Admin/Support can create/see all scopes including \"admin\" tags\n    63→//   - Users can only add tags to jobs they have permission to view\n    64→//   - Tag scope is enforced at query time in GetTags() and CountTags()\n    65→\n    66→// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n    67→// Requires user authentication for security checks.\n    68→//\n    69→// The user must have permission to view the job. Tag visibility is determined by scope:\n    70→//   - \"global\" tags: visible to all users\n    71→//   - \"private\" tags: only visible to the tag creator\n    72→//   - \"admin\" tags: only visible to admin/support users\n    73→func (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n    74→\tj, err := r.FindByIDWithUser(user, job)\n    75→\tif err != nil {\n    76→\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n    77→\t\treturn nil, err\n    78→\t}\n    79→\n    80→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n    81→\t\treturn r.GetTags(user, &job)\n    82→\t})\n    83→}\n    84→\n    85→// AddTagDirect adds a tag without user security checks.\n    86→// Use only for internal/admin operations.\n    87→func (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n    88→\tj, err := r.FindByIDDirect(job)\n    89→\tif err != nil {\n    90→\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n    91→\t\treturn nil, err\n    92→\t}\n    93→\n    94→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n    95→\t\treturn r.GetTagsDirect(&job)\n    96→\t})\n    97→}\n    98→\n    99→// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n   100→// Requires user authentication for security checks. Used by GraphQL API.\n   101→func (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n   102→\tj, err := r.FindByIDWithUser(user, job)\n   103→\tif err != nil {\n   104→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n   105→\t\treturn nil, err\n   106→\t}\n   107→\n   108→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n   109→\n   110→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   111→\t\ts, _, _ := q.ToSql()\n   112→\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n   113→\t\treturn nil, err\n   114→\t}\n   115→\n   116→\ttags, err := r.GetTags(user, &job)\n   117→\tif err != nil {\n   118→\t\tcclog.Warn(\"Error while getting tags for job\")\n   119→\t\treturn nil, err\n   120→\t}\n   121→\n   122→\tarchiveTags, err := r.getArchiveTags(&job)\n   123→\tif err != nil {\n   124→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n   125→\t\treturn nil, err\n   126→\t}\n   127→\n   128→\treturn tags, archive.UpdateTags(j, archiveTags)\n   129→}\n   130→\n   131→// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n   132→// Requires user authentication for security checks. Used by REST API.\n   133→func (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n   134→\t// Get Tag ID to delete\n   135→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   136→\tif !exists {\n   137→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   138→\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   139→\t}\n   140→\n   141→\t// Get Job\n   142→\tj, err := r.FindByIDWithUser(user, job)\n   143→\tif err != nil {\n   144→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n   145→\t\treturn nil, err\n   146→\t}\n   147→\n   148→\t// Handle Delete\n   149→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n   150→\n   151→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   152→\t\ts, _, _ := q.ToSql()\n   153→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n   154→\t\treturn nil, err\n   155→\t}\n   156→\n   157→\ttags, err := r.GetTags(user, &job)\n   158→\tif err != nil {\n   159→\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n   160→\t\treturn nil, err\n   161→\t}\n   162→\n   163→\tarchiveTags, err := r.getArchiveTags(&job)\n   164→\tif err != nil {\n   165→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n   166→\t\treturn nil, err\n   167→\t}\n   168→\n   169→\treturn tags, archive.UpdateTags(j, archiveTags)\n   170→}\n   171→\n   172→// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n   173→//\n   174→// This function is called asynchronously (via goroutine) after removing a tag from the database\n   175→// to synchronize the file-based job archive with the database state. Errors are logged but not\n   176→// returned since this runs in the background.\n   177→//\n   178→// Parameters:\n   179→//   - jobIds: Database IDs of all jobs that had the deleted tag\n   180→//\n   181→// Implementation note: Each job is processed individually to handle partial failures gracefully.\n   182→// If one job fails to update, others will still be processed.\n   183→func (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n   184→\tfor _, j := range jobIds {\n   185→\t\ttags, err := r.getArchiveTags(&j)\n   186→\t\tif err != nil {\n   187→\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n   188→\t\t\tcontinue\n   189→\t\t}\n   190→\n   191→\t\tjob, err := r.FindByIDDirect(j)\n   192→\t\tif err != nil {\n   193→\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n   194→\t\t\tcontinue\n   195→\t\t}\n   196→\n   197→\t\tarchive.UpdateTags(job, tags)\n   198→\t}\n   199→}\n   200→\n   201→// Removes a tag from db by tag info\n   202→// Used by REST API. Does not update tagged jobs in Job archive.\n   203→func (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n   204→\t// Get Tag ID to delete\n   205→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   206→\tif !exists {\n   207→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   208→\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   209→\t}\n   210→\n   211→\treturn r.RemoveTagByID(tagID)\n   212→}\n   213→\n   214→// Removes a tag from db by tag id\n   215→// Used by GraphQL API.\n   216→func (r *JobRepository) RemoveTagByID(tagID int64) error {\n   217→\tjobIds, err := r.FindJobIdsByTag(tagID)\n   218→\tif err != nil {\n   219→\t\treturn err\n   220→\t}\n   221→\n   222→\t// Handle Delete JobTagTable\n   223→\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n   224→\n   225→\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n   226→\t\ts, _, _ := qJobTag.ToSql()\n   227→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n   228→\t\treturn err\n   229→\t}\n   230→\n   231→\t// Handle Delete TagTable\n   232→\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n   233→\n   234→\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n   235→\t\ts, _, _ := qTag.ToSql()\n   236→\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n   237→\t\treturn err\n   238→\t}\n   239→\n   240→\t// asynchronously update archive jobs\n   241→\tgo r.removeTagFromArchiveJobs(jobIds)\n   242→\n   243→\treturn nil\n   244→}\n   245→\n   246→// CreateTag creates a new tag with the specified type, name, and scope.\n   247→// Returns the database ID of the newly created tag.\n   248→//\n   249→// Scope defaults to \"global\" if empty string is provided.\n   250→// Valid scopes: \"global\", \"private\", \"admin\"\n   251→//\n   252→// Example:\n   253→//\n   254→//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\n   255→func (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n   256→\t// Default to \"Global\" scope if none defined\n   257→\tif tagScope == \"\" {\n   258→\t\ttagScope = \"global\"\n   259→\t}\n   260→\n   261→\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n   262→\n   263→\tres, err := q.RunWith(r.stmtCache).Exec()\n   264→\tif err != nil {\n   265→\t\ts, _, _ := q.ToSql()\n   266→\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n   267→\t\treturn 0, err\n   268→\t}\n   269→\n   270→\treturn res.LastInsertId()\n   271→}\n   272→\n   273→// CountTags returns all tags visible to the user and the count of jobs for each tag.\n   274→// Applies scope-based filtering to respect tag visibility rules.\n   275→//\n   276→// Returns:\n   277→//   - tags: slice of tags the user can see\n   278→//   - counts: map of tag name to job count\n   279→//   - err: any error encountered\n   280→func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n   281→\ttags = make([]schema.Tag, 0, 100)\n   282→\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n   283→\tif err != nil {\n   284→\t\treturn nil, nil, err\n   285→\t}\n   286→\tdefer xrows.Close()\n   287→\n   288→\tfor xrows.Next() {\n   289→\t\tvar t schema.Tag\n   290→\t\tif err = xrows.StructScan(&t); err != nil {\n   291→\t\t\treturn nil, nil, err\n   292→\t\t}\n   293→\n   294→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n   295→\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n   296→\t\tif err != nil {\n   297→\t\t\treturn nil, nil, err\n   298→\t\t}\n   299→\t\tif readable {\n   300→\t\t\ttags = append(tags, t)\n   301→\t\t}\n   302→\t}\n   303→\n   304→\tif err := xrows.Err(); err != nil {\n   305→\t\treturn nil, nil, err\n   306→\t}\n   307→\n   308→\t// Query and Count Jobs with attached Tags\n   309→\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n   310→\t\tFrom(\"tag t\").\n   311→\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n   312→\t\tGroupBy(\"t.tag_type, t.tag_name\")\n   313→\n   314→\t// Build scope list for filtering\n   315→\tvar scopeBuilder strings.Builder\n   316→\tscopeBuilder.WriteString(`\"global\"`)\n   317→\tif user != nil {\n   318→\t\tscopeBuilder.WriteString(`,\"`)\n   319→\t\tscopeBuilder.WriteString(user.Username)\n   320→\t\tscopeBuilder.WriteString(`\"`)\n   321→\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n   322→\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n   323→\t\t}\n   324→\t}\n   325→\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n   326→\n   327→\t// Handle Job Ownership\n   328→\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n   329→\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n   330→\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n   331→\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n   332→\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n   333→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n   334→\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n   335→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n   336→\t}\n   337→\n   338→\trows, err := q.RunWith(r.stmtCache).Query()\n   339→\tif err != nil {\n   340→\t\treturn nil, nil, err\n   341→\t}\n   342→\tdefer rows.Close()\n   343→\n   344→\tcounts = make(map[string]int)\n   345→\tfor rows.Next() {\n   346→\t\tvar tagType string\n   347→\t\tvar tagName string\n   348→\t\tvar tagID int\n   349→\t\tvar count int\n   350→\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n   351→\t\t\treturn nil, nil, err\n   352→\t\t}\n   353→\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n   354→\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n   355→\t}\n   356→\terr = rows.Err()\n   357→\n   358→\treturn tags, counts, err\n   359→}\n   360→\n   361→var (\n   362→\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n   363→\tErrTagNotFound = errors.New(\"the tag does not exist\")\n   364→\n   365→\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n   366→\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n   367→\n   368→\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n   369→\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n   370→\n   371→\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n   372→\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n   373→\n   374→\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n   375→\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n   376→\n   377→\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n   378→\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n   379→)\n   380→\n   381→// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n   382→//\n   383→// This function performs three operations atomically:\n   384→//  1. Inserts the job-tag association into the jobtag junction table\n   385→//  2. Retrieves the updated tag list for the job (using the provided getTags callback)\n   386→//  3. Updates the job archive with the new tags to maintain database-archive consistency\n   387→//\n   388→// Parameters:\n   389→//   - jobId: Database ID of the job\n   390→//   - tagId: Database ID of the tag to associate\n   391→//   - job: Full job object needed for archive update\n   392→//   - getTags: Callback function to retrieve updated tags (allows different security contexts)\n   393→//\n   394→// Returns the complete updated tag list for the job or an error.\n   395→//\n   396→// Note: This function does NOT validate tag scope permissions - callers must perform\n   397→// authorization checks before invoking this helper.\n   398→func (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n   399→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n   400→\n   401→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   402→\t\ts, _, _ := q.ToSql()\n   403→\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n   404→\t\treturn nil, err\n   405→\t}\n   406→\n   407→\ttags, err := getTags()\n   408→\tif err != nil {\n   409→\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n   410→\t\treturn nil, err\n   411→\t}\n   412→\n   413→\tarchiveTags, err := r.getArchiveTags(&jobID)\n   414→\tif err != nil {\n   415→\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n   416→\t\treturn nil, err\n   417→\t}\n   418→\n   419→\treturn tags, archive.UpdateTags(job, archiveTags)\n   420→}\n   421→\n   422→// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n   423→// If such a tag does not yet exist, it is created.\n   424→func (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n   425→\t// Default to \"Global\" scope if none defined\n   426→\tif tagScope == \"\" {\n   427→\t\ttagScope = \"global\"\n   428→\t}\n   429→\n   430→\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n   431→\tif err != nil {\n   432→\t\treturn 0, err\n   433→\t}\n   434→\tif !writable {\n   435→\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n   436→\t}\n   437→\n   438→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   439→\tif !exists {\n   440→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n   441→\t\tif err != nil {\n   442→\t\t\treturn 0, err\n   443→\t\t}\n   444→\t}\n   445→\n   446→\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n   447→\t\treturn 0, err\n   448→\t}\n   449→\n   450→\treturn tagID, nil\n   451→}\n   452→\n   453→func (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n   454→\ttagScope := \"global\"\n   455→\n   456→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   457→\tif !exists {\n   458→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n   459→\t\tif err != nil {\n   460→\t\t\treturn 0, err\n   461→\t\t}\n   462→\t}\n   463→\n   464→\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n   465→\n   466→\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n   467→\t\treturn 0, err\n   468→\t}\n   469→\n   470→\treturn tagID, nil\n   471→}\n   472→\n   473→func (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n   474→\tvar id int64\n   475→\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n   476→\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n   477→\t\tWhere(\"tag.tag_name = ?\", tagName)\n   478→\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n   479→\tif err != nil {\n   480→\t\treturn false\n   481→\t} else {\n   482→\t\treturn true\n   483→\t}\n   484→}\n   485→\n   486→// TagID returns the database id of the tag with the specified type and name.\n   487→func (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n   488→\texists = true\n   489→\tif err := sq.Select(\"id\").From(\"tag\").\n   490→\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n   491→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n   492→\t\texists = false\n   493→\t}\n   494→\treturn\n   495→}\n   496→\n   497→// TagInfo returns the database infos of the tag with the specified id.\n   498→func (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n   499→\texists = true\n   500→\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n   501→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n   502→\t\texists = false\n   503→\t}\n   504→\treturn\n   505→}\n   506→\n   507→// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\n   508→func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n   509→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n   510→\tif job != nil {\n   511→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n   512→\t}\n   513→\n   514→\trows, err := q.RunWith(r.stmtCache).Query()\n   515→\tif err != nil {\n   516→\t\ts, _, _ := q.ToSql()\n   517→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n   518→\t\treturn nil, err\n   519→\t}\n   520→\tdefer rows.Close()\n   521→\n   522→\ttags := make([]*schema.Tag, 0)\n   523→\tfor rows.Next() {\n   524→\t\ttag := &schema.Tag{}\n   525→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n   526→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n   527→\t\t\treturn nil, err\n   528→\t\t}\n   529→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n   530→\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n   531→\t\tif err != nil {\n   532→\t\t\treturn nil, err\n   533→\t\t}\n   534→\t\tif readable {\n   535→\t\t\ttags = append(tags, tag)\n   536→\t\t}\n   537→\t}\n   538→\n   539→\tif err := rows.Err(); err != nil {\n   540→\t\treturn nil, err\n   541→\t}\n   542→\n   543→\treturn tags, nil\n   544→}\n   545→\n   546→func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n   547→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n   548→\tif job != nil {\n   549→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n   550→\t}\n   551→\n   552→\trows, err := q.RunWith(r.stmtCache).Query()\n   553→\tif err != nil {\n   554→\t\ts, _, _ := q.ToSql()\n   555→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n   556→\t\treturn nil, err\n   557→\t}\n   558→\tdefer rows.Close()\n   559→\n   560→\ttags := make([]*schema.Tag, 0)\n   561→\tfor rows.Next() {\n   562→\t\ttag := &schema.Tag{}\n   563→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n   564→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n   565→\t\t\treturn nil, err\n   566→\t\t}\n   567→\t\ttags = append(tags, tag)\n   568→\t}\n   569→\n   570→\tif err := rows.Err(); err != nil {\n   571→\t\treturn nil, err\n   572→\t}\n   573→\n   574→\treturn tags, nil\n   575→}\n   576→\n   577→// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n   578→//\n   579→// This internal function is used exclusively for job archive synchronization where we need\n   580→// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n   581→// filters by scope, this returns the complete unfiltered tag list.\n   582→//\n   583→// Parameters:\n   584→//   - job: Pointer to job database ID, or nil to return all tags in the system\n   585→//\n   586→// Returns all tags without scope filtering, used only for archive operations.\n   587→//\n   588→// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\n   589→func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n   590→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n   591→\tif job != nil {\n   592→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n   593→\t}\n   594→\n   595→\trows, err := q.RunWith(r.stmtCache).Query()\n   596→\tif err != nil {\n   597→\t\ts, _, _ := q.ToSql()\n   598→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n   599→\t\treturn nil, err\n   600→\t}\n   601→\tdefer rows.Close()\n   602→\n   603→\ttags := make([]*schema.Tag, 0)\n   604→\tfor rows.Next() {\n   605→\t\ttag := &schema.Tag{}\n   606→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n   607→\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n   608→\t\t\treturn nil, err\n   609→\t\t}\n   610→\t\ttags = append(tags, tag)\n   611→\t}\n   612→\n   613→\tif err := rows.Err(); err != nil {\n   614→\t\treturn nil, err\n   615→\t}\n   616→\n   617→\treturn tags, nil\n   618→}\n   619→\n   620→func (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n   621→\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n   622→\n   623→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   624→\tif !exists {\n   625→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n   626→\t\tif err != nil {\n   627→\t\t\treturn err\n   628→\t\t}\n   629→\t}\n   630→\n   631→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n   632→\n   633→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   634→\t\ts, _, _ := q.ToSql()\n   635→\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n   636→\t\treturn err\n   637→\t}\n   638→\n   639→\treturn nil\n   640→}\n   641→\n   642→// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n   643→//\n   644→// This function implements the tag scope authorization matrix:\n   645→//\n   646→//\tScope        | Read Access                      | Write Access\n   647→//\t-------------|----------------------------------|----------------------------------\n   648→//\t\"global\"     | All users                        | Admin, Support, API-only\n   649→//\t\"admin\"      | Admin, Support                   | Admin, API-only\n   650→//\t<username>   | Owner only                       | Owner only (private tags)\n   651→//\n   652→// Parameters:\n   653→//   - user: User attempting the operation (must not be nil)\n   654→//   - operation: Either \"read\" or \"write\"\n   655→//   - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n   656→//\n   657→// Returns:\n   658→//   - pass: true if authorized, false if denied\n   659→//   - err: error only if operation is invalid or user is nil\n   660→//\n   661→// Special cases:\n   662→//   - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n   663→//   - Private tags use the username as scope, granting exclusive access to that user\n   664→func (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n   665→\tif user != nil {\n   666→\t\tswitch {\n   667→\t\tcase operation == \"write\" && scope == \"admin\":\n   668→\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n   669→\t\t\t\treturn true, nil\n   670→\t\t\t}\n   671→\t\t\treturn false, nil\n   672→\t\tcase operation == \"write\" && scope == \"global\":\n   673→\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n   674→\t\t\t\treturn true, nil\n   675→\t\t\t}\n   676→\t\t\treturn false, nil\n   677→\t\tcase operation == \"write\" && scope == user.Username:\n   678→\t\t\treturn true, nil\n   679→\t\tcase operation == \"read\" && scope == \"admin\":\n   680→\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n   681→\t\tcase operation == \"read\" && scope == \"global\":\n   682→\t\t\treturn true, nil\n   683→\t\tcase operation == \"read\" && scope == user.Username:\n   684→\t\t\treturn true, nil\n   685→\t\tdefault:\n   686→\t\t\tif operation == \"read\" || operation == \"write\" {\n   687→\t\t\t\t// No acceptable scope: deny tag\n   688→\t\t\t\treturn false, nil\n   689→\t\t\t} else {\n   690→\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n   691→\t\t\t}\n   692→\t\t}\n   693→\t} else {\n   694→\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n   695→\t}\n   696→}\n   697→"}]},"uuid":"24f743bb-f6b7-4740-81ba-80bbe330ba82","timestamp":"2026-03-16T10:18:54.661Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"fc679690-cf7e-4f11-b0bb-8bd2e3b0aa82","timestamp":"2026-03-16T10:18:54.885Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"fc679690-cf7e-4f11-b0bb-8bd2e3b0aa82","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:54.889Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01A3P6gr75foAWUNkAzA7oVj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012fdQFVceLrtsY7t3g5NiYW","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":1590,"cache_read_input_tokens":17374,"cache_creation":{"ephemeral_5m_input_tokens":1590,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7AcQ15FykJX5wRoAU","uuid":"5821928a-64f5-4494-a6ab-4062a001ad17"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"2da4ab86-6292-4c47-b96c-9472738423a3","timestamp":"2026-03-16T10:18:54.889Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"2da4ab86-6292-4c47-b96c-9472738423a3","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012fdQFVceLrtsY7t3g5NiYW","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"encoding/json\"\n    10→\t\"fmt\"\n    11→\n    12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    14→\tsq \"github.com/Masterminds/squirrel\"\n    15→)\n    16→\n    17→const NamedJobCacheInsert string = `INSERT INTO job_cache (\n    18→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n    19→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n    20→) VALUES (\n    21→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n    22→  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n    23→);`\n    24→\n    25→const NamedJobInsert string = `INSERT INTO job (\n    26→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n    27→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n    28→) VALUES (\n    29→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n    30→  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n    31→);`\n    32→\n    33→// InsertJobDirect inserts a job directly into the job table (not job_cache).\n    34→// Use this when the returned ID will be used for operations on the job table\n    35→// (e.g., adding tags), or for imported jobs that are already completed.\n    36→func (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n    37→\tr.Mutex.Lock()\n    38→\tdefer r.Mutex.Unlock()\n    39→\n    40→\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n    41→\tif err != nil {\n    42→\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n    43→\t\treturn 0, err\n    44→\t}\n    45→\tid, err := res.LastInsertId()\n    46→\tif err != nil {\n    47→\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n    48→\t\treturn 0, err\n    49→\t}\n    50→\n    51→\treturn id, nil\n    52→}\n    53→\n    54→func (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n    55→\tr.Mutex.Lock()\n    56→\tdefer r.Mutex.Unlock()\n    57→\n    58→\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n    59→\tif err != nil {\n    60→\t\tcclog.Warn(\"Error while NamedJobInsert\")\n    61→\t\treturn 0, err\n    62→\t}\n    63→\tid, err := res.LastInsertId()\n    64→\tif err != nil {\n    65→\t\tcclog.Warn(\"Error while getting last insert ID\")\n    66→\t\treturn 0, err\n    67→\t}\n    68→\n    69→\treturn id, nil\n    70→}\n    71→\n    72→func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n    73→\tr.Mutex.Lock()\n    74→\tdefer r.Mutex.Unlock()\n    75→\n    76→\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n    77→\n    78→\trows, err := query.RunWith(r.stmtCache).Query()\n    79→\tif err != nil {\n    80→\t\tcclog.Errorf(\"Error while running query %v\", err)\n    81→\t\treturn nil, err\n    82→\t}\n    83→\tdefer rows.Close()\n    84→\n    85→\tjobs := make([]*schema.Job, 0, 50)\n    86→\tfor rows.Next() {\n    87→\t\tjob, err := scanJob(rows)\n    88→\t\tif err != nil {\n    89→\t\t\tcclog.Warn(\"Error while scanning rows\")\n    90→\t\t\treturn nil, err\n    91→\t\t}\n    92→\t\tjobs = append(jobs, job)\n    93→\t}\n    94→\n    95→\t// Transfer cached jobs to main table and clear cache in a single transaction.\n    96→\ttx, err := r.DB.Beginx()\n    97→\tif err != nil {\n    98→\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n    99→\t\treturn nil, err\n   100→\t}\n   101→\tdefer tx.Rollback()\n   102→\n   103→\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n   104→\t_, err = tx.Exec(\n   105→\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n   106→\tif err != nil {\n   107→\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n   108→\t\treturn nil, err\n   109→\t}\n   110→\n   111→\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n   112→\tif err != nil {\n   113→\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n   114→\t\treturn nil, err\n   115→\t}\n   116→\n   117→\tif err := tx.Commit(); err != nil {\n   118→\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n   119→\t\treturn nil, err\n   120→\t}\n   121→\n   122→\t// Resolve correct job.id from the job table. The IDs read from job_cache\n   123→\t// are from a different auto-increment sequence and must not be used to\n   124→\t// query the job table.\n   125→\tfor _, job := range jobs {\n   126→\t\tvar newID int64\n   127→\t\tif err := sq.Select(\"job.id\").From(\"job\").\n   128→\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n   129→\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n   130→\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n   131→\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n   132→\t\t\t\tjob.JobID, job.Cluster, err)\n   133→\t\t\tcontinue\n   134→\t\t}\n   135→\t\tjob.ID = &newID\n   136→\t}\n   137→\n   138→\treturn jobs, nil\n   139→}\n   140→\n   141→// TransferCachedJobToMain moves a job from job_cache to the job table.\n   142→// Caller must hold r.Mutex. Returns the new job table ID.\n   143→func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n   144→\tres, err := r.DB.Exec(\n   145→\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n   146→\t\tcacheID)\n   147→\tif err != nil {\n   148→\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n   149→\t}\n   150→\n   151→\tnewID, err := res.LastInsertId()\n   152→\tif err != nil {\n   153→\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n   154→\t}\n   155→\n   156→\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n   157→\tif err != nil {\n   158→\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n   159→\t}\n   160→\n   161→\treturn newID, nil\n   162→}\n   163→\n   164→// Start inserts a new job in the table, returning the unique job ID.\n   165→// Statistics are not transfered!\n   166→func (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n   167→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   168→\tif err != nil {\n   169→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n   170→\t}\n   171→\n   172→\tjob.RawResources, err = json.Marshal(job.Resources)\n   173→\tif err != nil {\n   174→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n   175→\t}\n   176→\n   177→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n   178→\tif err != nil {\n   179→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n   180→\t}\n   181→\n   182→\treturn r.InsertJob(job)\n   183→}\n   184→\n   185→// StartDirect inserts a new job directly into the job table (not job_cache).\n   186→// Use this when the returned ID will immediately be used for job table\n   187→// operations such as adding tags.\n   188→func (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n   189→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   190→\tif err != nil {\n   191→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n   192→\t}\n   193→\n   194→\tjob.RawResources, err = json.Marshal(job.Resources)\n   195→\tif err != nil {\n   196→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n   197→\t}\n   198→\n   199→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n   200→\tif err != nil {\n   201→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n   202→\t}\n   203→\n   204→\treturn r.InsertJobDirect(job)\n   205→}\n   206→\n   207→// Stop updates the job with the database id jobId using the provided arguments.\n   208→func (r *JobRepository) Stop(\n   209→\tjobID int64,\n   210→\tduration int32,\n   211→\tstate schema.JobState,\n   212→\tmonitoringStatus int32,\n   213→) (err error) {\n   214→\t// Invalidate cache entries as job state is changing\n   215→\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n   216→\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n   217→\n   218→\tstmt := sq.Update(\"job\").\n   219→\t\tSet(\"job_state\", state).\n   220→\t\tSet(\"duration\", duration).\n   221→\t\tSet(\"monitoring_status\", monitoringStatus).\n   222→\t\tWhere(\"job.id = ?\", jobID)\n   223→\n   224→\t_, err = stmt.RunWith(r.stmtCache).Exec()\n   225→\treturn err\n   226→}\n   227→"}]},"uuid":"758b9b9e-bfd8-46c1-a469-bede6913e6c5","timestamp":"2026-03-16T10:18:54.899Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"ad475ca1-30c3-49f7-9995-aa4bdf96ea9e","timestamp":"2026-03-16T10:18:55.097Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"6982164d-b24f-4e35-89a8-341592893f04","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01X1wWyRjNqL5ZvzQvFVYAUx","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"encoding/json\"\n    10→\t\"fmt\"\n    11→\t\"os\"\n    12→\t\"path/filepath\"\n    13→\t\"strconv\"\n    14→\t\"strings\"\n    15→\t\"time\"\n    16→\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\tpqarchive \"github.com/ClusterCockpit/cc-backend/pkg/archive/parquet\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→\t\"github.com/go-co-op/gocron/v2\"\n    22→)\n    23→\n    24→// createParquetTarget creates a ParquetTarget (file or S3) from the retention config.\n    25→func createParquetTarget(cfg Retention) (pqarchive.ParquetTarget, error) {\n    26→\tswitch cfg.TargetKind {\n    27→\tcase \"s3\":\n    28→\t\treturn pqarchive.NewS3Target(pqarchive.S3TargetConfig{\n    29→\t\t\tEndpoint:     cfg.TargetEndpoint,\n    30→\t\t\tBucket:       cfg.TargetBucket,\n    31→\t\t\tAccessKey:    cfg.TargetAccessKey,\n    32→\t\t\tSecretKey:    cfg.TargetSecretKey,\n    33→\t\t\tRegion:       cfg.TargetRegion,\n    34→\t\t\tUsePathStyle: cfg.TargetUsePathStyle,\n    35→\t\t})\n    36→\tdefault:\n    37→\t\treturn pqarchive.NewFileTarget(cfg.TargetPath)\n    38→\t}\n    39→}\n    40→\n    41→// createTargetBackend creates a secondary archive backend (file or S3) for JSON copy/move.\n    42→func createTargetBackend(cfg Retention) (archive.ArchiveBackend, error) {\n    43→\tvar raw json.RawMessage\n    44→\tvar err error\n    45→\n    46→\tswitch cfg.TargetKind {\n    47→\tcase \"s3\":\n    48→\t\traw, err = json.Marshal(map[string]any{\n    49→\t\t\t\"kind\":           \"s3\",\n    50→\t\t\t\"endpoint\":       cfg.TargetEndpoint,\n    51→\t\t\t\"bucket\":         cfg.TargetBucket,\n    52→\t\t\t\"access-key\":     cfg.TargetAccessKey,\n    53→\t\t\t\"secret-key\":     cfg.TargetSecretKey,\n    54→\t\t\t\"region\":         cfg.TargetRegion,\n    55→\t\t\t\"use-path-style\": cfg.TargetUsePathStyle,\n    56→\t\t})\n    57→\tdefault:\n    58→\t\traw, err = json.Marshal(map[string]string{\n    59→\t\t\t\"kind\": \"file\",\n    60→\t\t\t\"path\": cfg.TargetPath,\n    61→\t\t})\n    62→\t}\n    63→\tif err != nil {\n    64→\t\treturn nil, fmt.Errorf(\"marshal target config: %w\", err)\n    65→\t}\n    66→\treturn archive.InitBackend(raw)\n    67→}\n    68→\n    69→// transferJobsJSON copies job data from source archive to target backend in JSON format.\n    70→func transferJobsJSON(jobs []*schema.Job, src archive.ArchiveBackend, dst archive.ArchiveBackend) error {\n    71→\t// Transfer cluster configs for all clusters referenced by jobs\n    72→\tclustersDone := make(map[string]bool)\n    73→\tfor _, job := range jobs {\n    74→\t\tif clustersDone[job.Cluster] {\n    75→\t\t\tcontinue\n    76→\t\t}\n    77→\t\tclusterCfg, err := src.LoadClusterCfg(job.Cluster)\n    78→\t\tif err != nil {\n    79→\t\t\tcclog.Warnf(\"Retention: load cluster config %q: %v\", job.Cluster, err)\n    80→\t\t} else {\n    81→\t\t\tif err := dst.StoreClusterCfg(job.Cluster, clusterCfg); err != nil {\n    82→\t\t\t\tcclog.Warnf(\"Retention: store cluster config %q: %v\", job.Cluster, err)\n    83→\t\t\t}\n    84→\t\t}\n    85→\t\tclustersDone[job.Cluster] = true\n    86→\t}\n    87→\n    88→\tfor _, job := range jobs {\n    89→\t\tmeta, err := src.LoadJobMeta(job)\n    90→\t\tif err != nil {\n    91→\t\t\tcclog.Warnf(\"Retention: load meta for job %d: %v\", job.JobID, err)\n    92→\t\t\tcontinue\n    93→\t\t}\n    94→\t\tdata, err := src.LoadJobData(job)\n    95→\t\tif err != nil {\n    96→\t\t\tcclog.Warnf(\"Retention: load data for job %d: %v\", job.JobID, err)\n    97→\t\t\tcontinue\n    98→\t\t}\n    99→\t\tif err := dst.ImportJob(meta, &data); err != nil {\n   100→\t\t\tcclog.Warnf(\"Retention: import job %d: %v\", job.JobID, err)\n   101→\t\t\tcontinue\n   102→\t\t}\n   103→\t}\n   104→\treturn nil\n   105→}\n   106→\n   107→// transferJobsParquet converts jobs to Parquet format, organized by cluster.\n   108→func transferJobsParquet(jobs []*schema.Job, src archive.ArchiveBackend, target pqarchive.ParquetTarget, maxSizeMB int) error {\n   109→\tcw := pqarchive.NewClusterAwareParquetWriter(target, maxSizeMB)\n   110→\n   111→\t// Set cluster configs for all clusters referenced by jobs\n   112→\tclustersDone := make(map[string]bool)\n   113→\tfor _, job := range jobs {\n   114→\t\tif clustersDone[job.Cluster] {\n   115→\t\t\tcontinue\n   116→\t\t}\n   117→\t\tclusterCfg, err := src.LoadClusterCfg(job.Cluster)\n   118→\t\tif err != nil {\n   119→\t\t\tcclog.Warnf(\"Retention: load cluster config %q: %v\", job.Cluster, err)\n   120→\t\t} else {\n   121→\t\t\tcw.SetClusterConfig(job.Cluster, clusterCfg)\n   122→\t\t}\n   123→\t\tclustersDone[job.Cluster] = true\n   124→\t}\n   125→\n   126→\tfor _, job := range jobs {\n   127→\t\tmeta, err := src.LoadJobMeta(job)\n   128→\t\tif err != nil {\n   129→\t\t\tcclog.Warnf(\"Retention: load meta for job %d: %v\", job.JobID, err)\n   130→\t\t\tcontinue\n   131→\t\t}\n   132→\t\tdata, err := src.LoadJobData(job)\n   133→\t\tif err != nil {\n   134→\t\t\tcclog.Warnf(\"Retention: load data for job %d: %v\", job.JobID, err)\n   135→\t\t\tcontinue\n   136→\t\t}\n   137→\t\trow, err := pqarchive.JobToParquetRow(meta, &data)\n   138→\t\tif err != nil {\n   139→\t\t\tcclog.Warnf(\"Retention: convert job %d: %v\", job.JobID, err)\n   140→\t\t\tcontinue\n   141→\t\t}\n   142→\t\tif err := cw.AddJob(*row); err != nil {\n   143→\t\t\tcclog.Errorf(\"Retention: add job %d to writer: %v\", job.JobID, err)\n   144→\t\t\tcontinue\n   145→\t\t}\n   146→\t}\n   147→\n   148→\treturn cw.Close()\n   149→}\n   150→\n   151→// cleanupAfterTransfer removes jobs from archive and optionally from DB.\n   152→func cleanupAfterTransfer(jobs []*schema.Job, startTime int64, includeDB bool, omitTagged string) {\n   153→\tarchive.GetHandle().CleanUp(jobs)\n   154→\n   155→\tif includeDB {\n   156→\t\tcnt, err := jobRepo.DeleteJobsBefore(startTime, omitTagged)\n   157→\t\tif err != nil {\n   158→\t\t\tcclog.Errorf(\"Retention: delete jobs from db: %v\", err)\n   159→\t\t} else {\n   160→\t\t\tcclog.Infof(\"Retention: removed %d jobs from db\", cnt)\n   161→\t\t}\n   162→\t\tif err = jobRepo.Optimize(); err != nil {\n   163→\t\t\tcclog.Errorf(\"Retention: db optimization error: %v\", err)\n   164→\t\t}\n   165→\t}\n   166→}\n   167→\n   168→// readCopyMarker reads the last-processed timestamp from a copy marker file.\n   169→func readCopyMarker(cfg Retention) int64 {\n   170→\tvar data []byte\n   171→\tvar err error\n   172→\n   173→\tswitch cfg.TargetKind {\n   174→\tcase \"s3\":\n   175→\t\t// For S3 we store the marker locally alongside the config\n   176→\t\tdata, err = os.ReadFile(copyMarkerPath(cfg))\n   177→\tdefault:\n   178→\t\tdata, err = os.ReadFile(filepath.Join(cfg.TargetPath, \".copy-marker\"))\n   179→\t}\n   180→\tif err != nil {\n   181→\t\treturn 0\n   182→\t}\n   183→\tts, err := strconv.ParseInt(strings.TrimSpace(string(data)), 10, 64)\n   184→\tif err != nil {\n   185→\t\treturn 0\n   186→\t}\n   187→\treturn ts\n   188→}\n   189→\n   190→// writeCopyMarker writes the last-processed timestamp to a copy marker file.\n   191→func writeCopyMarker(cfg Retention, ts int64) {\n   192→\tcontent := []byte(strconv.FormatInt(ts, 10))\n   193→\tvar err error\n   194→\n   195→\tswitch cfg.TargetKind {\n   196→\tcase \"s3\":\n   197→\t\terr = os.WriteFile(copyMarkerPath(cfg), content, 0o640)\n   198→\tdefault:\n   199→\t\terr = os.WriteFile(filepath.Join(cfg.TargetPath, \".copy-marker\"), content, 0o640)\n   200→\t}\n   201→\tif err != nil {\n   202→\t\tcclog.Warnf(\"Retention: write copy marker: %v\", err)\n   203→\t}\n   204→}\n   205→\n   206→func copyMarkerPath(cfg Retention) string {\n   207→\t// For S3 targets, store the marker in a local temp-style path derived from the bucket name\n   208→\treturn filepath.Join(os.TempDir(), fmt.Sprintf(\"cc-copy-marker-%s\", cfg.TargetBucket))\n   209→}\n   210→\n   211→func RegisterRetentionDeleteService(cfg Retention) {\n   212→\tcclog.Info(\"Register retention delete service\")\n   213→\n   214→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(3, 0, 0))),\n   215→\t\tgocron.NewTask(\n   216→\t\t\tfunc() {\n   217→\t\t\t\tstartTime := time.Now().Unix() - int64(cfg.Age*24*3600)\n   218→\t\t\t\tjobs, err := jobRepo.FindJobsBetween(0, startTime, cfg.OmitTagged)\n   219→\t\t\t\tif err != nil {\n   220→\t\t\t\t\tcclog.Warnf(\"Retention delete: error finding jobs: %v\", err)\n   221→\t\t\t\t\treturn\n   222→\t\t\t\t}\n   223→\t\t\t\tif len(jobs) == 0 {\n   224→\t\t\t\t\treturn\n   225→\t\t\t\t}\n   226→\n   227→\t\t\t\tcclog.Infof(\"Retention delete: processing %d jobs\", len(jobs))\n   228→\t\t\t\tcleanupAfterTransfer(jobs, startTime, cfg.IncludeDB, cfg.OmitTagged)\n   229→\t\t\t}))\n   230→}\n   231→\n   232→func RegisterRetentionCopyService(cfg Retention) {\n   233→\tcclog.Infof(\"Register retention copy service (format=%s, target=%s)\", cfg.Format, cfg.TargetKind)\n   234→\n   235→\tmaxFileSizeMB := cfg.MaxFileSizeMB\n   236→\tif maxFileSizeMB <= 0 {\n   237→\t\tmaxFileSizeMB = 512\n   238→\t}\n   239→\n   240→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(4, 0, 0))),\n   241→\t\tgocron.NewTask(\n   242→\t\t\tfunc() {\n   243→\t\t\t\tcutoff := time.Now().Unix() - int64(cfg.Age*24*3600)\n   244→\t\t\t\tlastProcessed := readCopyMarker(cfg)\n   245→\n   246→\t\t\t\tjobs, err := jobRepo.FindJobsBetween(lastProcessed, cutoff, cfg.OmitTagged)\n   247→\t\t\t\tif err != nil {\n   248→\t\t\t\t\tcclog.Warnf(\"Retention copy: error finding jobs: %v\", err)\n   249→\t\t\t\t\treturn\n   250→\t\t\t\t}\n   251→\t\t\t\tif len(jobs) == 0 {\n   252→\t\t\t\t\treturn\n   253→\t\t\t\t}\n   254→\n   255→\t\t\t\tcclog.Infof(\"Retention copy: processing %d jobs\", len(jobs))\n   256→\t\t\t\tar := archive.GetHandle()\n   257→\n   258→\t\t\t\tswitch cfg.Format {\n   259→\t\t\t\tcase \"parquet\":\n   260→\t\t\t\t\ttarget, err := createParquetTarget(cfg)\n   261→\t\t\t\t\tif err != nil {\n   262→\t\t\t\t\t\tcclog.Errorf(\"Retention copy: create parquet target: %v\", err)\n   263→\t\t\t\t\t\treturn\n   264→\t\t\t\t\t}\n   265→\t\t\t\t\tif err := transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\n   266→\t\t\t\t\t\tcclog.Errorf(\"Retention copy: parquet transfer: %v\", err)\n   267→\t\t\t\t\t\treturn\n   268→\t\t\t\t\t}\n   269→\t\t\t\tdefault: // json\n   270→\t\t\t\t\tdst, err := createTargetBackend(cfg)\n   271→\t\t\t\t\tif err != nil {\n   272→\t\t\t\t\t\tcclog.Errorf(\"Retention copy: create target backend: %v\", err)\n   273→\t\t\t\t\t\treturn\n   274→\t\t\t\t\t}\n   275→\t\t\t\t\tif err := transferJobsJSON(jobs, ar, dst); err != nil {\n   276→\t\t\t\t\t\tcclog.Errorf(\"Retention copy: json transfer: %v\", err)\n   277→\t\t\t\t\t\treturn\n   278→\t\t\t\t\t}\n   279→\t\t\t\t}\n   280→\n   281→\t\t\t\twriteCopyMarker(cfg, cutoff)\n   282→\t\t\t}))\n   283→}\n   284→\n   285→func RegisterRetentionMoveService(cfg Retention) {\n   286→\tcclog.Infof(\"Register retention move service (format=%s, target=%s)\", cfg.Format, cfg.TargetKind)\n   287→\n   288→\tmaxFileSizeMB := cfg.MaxFileSizeMB\n   289→\tif maxFileSizeMB <= 0 {\n   290→\t\tmaxFileSizeMB = 512\n   291→\t}\n   292→\n   293→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(5, 0, 0))),\n   294→\t\tgocron.NewTask(\n   295→\t\t\tfunc() {\n   296→\t\t\t\tstartTime := time.Now().Unix() - int64(cfg.Age*24*3600)\n   297→\t\t\t\tjobs, err := jobRepo.FindJobsBetween(0, startTime, cfg.OmitTagged)\n   298→\t\t\t\tif err != nil {\n   299→\t\t\t\t\tcclog.Warnf(\"Retention move: error finding jobs: %v\", err)\n   300→\t\t\t\t\treturn\n   301→\t\t\t\t}\n   302→\t\t\t\tif len(jobs) == 0 {\n   303→\t\t\t\t\treturn\n   304→\t\t\t\t}\n   305→\n   306→\t\t\t\tcclog.Infof(\"Retention move: processing %d jobs\", len(jobs))\n   307→\t\t\t\tar := archive.GetHandle()\n   308→\n   309→\t\t\t\tswitch cfg.Format {\n   310→\t\t\t\tcase \"parquet\":\n   311→\t\t\t\t\ttarget, err := createParquetTarget(cfg)\n   312→\t\t\t\t\tif err != nil {\n   313→\t\t\t\t\t\tcclog.Errorf(\"Retention move: create parquet target: %v\", err)\n   314→\t\t\t\t\t\treturn\n   315→\t\t\t\t\t}\n   316→\t\t\t\t\tif err := transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\n   317→\t\t\t\t\t\tcclog.Errorf(\"Retention move: parquet transfer: %v\", err)\n   318→\t\t\t\t\t\treturn\n   319→\t\t\t\t\t}\n   320→\t\t\t\tdefault: // json\n   321→\t\t\t\t\tdst, err := createTargetBackend(cfg)\n   322→\t\t\t\t\tif err != nil {\n   323→\t\t\t\t\t\tcclog.Errorf(\"Retention move: create target backend: %v\", err)\n   324→\t\t\t\t\t\treturn\n   325→\t\t\t\t\t}\n   326→\t\t\t\t\tif err := transferJobsJSON(jobs, ar, dst); err != nil {\n   327→\t\t\t\t\t\tcclog.Errorf(\"Retention move: json transfer: %v\", err)\n   328→\t\t\t\t\t\treturn\n   329→\t\t\t\t\t}\n   330→\t\t\t\t}\n   331→\n   332→\t\t\t\tcleanupAfterTransfer(jobs, startTime, cfg.IncludeDB, cfg.OmitTagged)\n   333→\t\t\t}))\n   334→}\n   335→"}]},"uuid":"4ce7a245-5605-466c-805e-7afe98a3455e","timestamp":"2026-03-16T10:18:55.266Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"55872396-17aa-4333-950b-7dac1e007190","timestamp":"2026-03-16T10:18:55.267Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"cc02a4e2-04b8-472c-a560-3896dafebd9f","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XoMSQBVzkgXnMoE3wdHsWF","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package archiver provides asynchronous job archiving functionality for ClusterCockpit.\n     7→//\n     8→// The archiver runs a background worker goroutine that processes job archiving requests\n     9→// from a buffered channel. When jobs complete, their metric data is archived from the\n    10→// metric store to the configured archive backend (filesystem, S3, etc.).\n    11→//\n    12→// # Architecture\n    13→//\n    14→// The archiver uses a producer-consumer pattern:\n    15→//   - Producer: TriggerArchiving() sends jobs to archiveChannel\n    16→//   - Consumer: archivingWorker() processes jobs from the channel\n    17→//   - Coordination: sync.WaitGroup tracks pending archive operations\n    18→//\n    19→// # Lifecycle\n    20→//\n    21→//  1. Start(repo, ctx) - Initialize worker with context for cancellation\n    22→//  2. TriggerArchiving(job) - Queue job for archiving (called when job stops)\n    23→//  3. archivingWorker() - Background goroutine processes jobs\n    24→//  4. Shutdown(timeout) - Graceful shutdown with timeout\n    25→//\n    26→// # Graceful Shutdown\n    27→//\n    28→// The archiver supports graceful shutdown with configurable timeout:\n    29→//   - Closes channel to reject new jobs\n    30→//   - Waits for pending jobs to complete (up to timeout)\n    31→//   - Cancels context if timeout exceeded\n    32→//   - Ensures worker goroutine exits cleanly\n    33→//\n    34→// # Example Usage\n    35→//\n    36→//\t// Initialize archiver\n    37→//\tctx, cancel := context.WithCancel(context.Background())\n    38→//\tdefer cancel()\n    39→//\tarchiver.Start(jobRepository, ctx)\n    40→//\n    41→//\t// Trigger archiving when job completes\n    42→//\tarchiver.TriggerArchiving(job)\n    43→//\n    44→//\t// Graceful shutdown with 10 second timeout\n    45→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n    46→//\t    log.Printf(\"Archiver shutdown timeout: %v\", err)\n    47→//\t}\n    48→package archiver\n    49→\n    50→import (\n    51→\t\"context\"\n    52→\t\"fmt\"\n    53→\t\"sync\"\n    54→\t\"time\"\n    55→\n    56→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    57→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    58→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    59→\tsq \"github.com/Masterminds/squirrel\"\n    60→)\n    61→\n    62→var (\n    63→\tarchivePending sync.WaitGroup\n    64→\tarchiveChannel chan *schema.Job\n    65→\tjobRepo        *repository.JobRepository\n    66→\tshutdownCtx    context.Context\n    67→\tshutdownCancel context.CancelFunc\n    68→\tworkerDone     chan struct{}\n    69→)\n    70→\n    71→// Start initializes the archiver and starts the background worker goroutine.\n    72→//\n    73→// The archiver processes job archiving requests asynchronously via a buffered channel.\n    74→// Jobs are sent to the channel using TriggerArchiving() and processed by the worker.\n    75→//\n    76→// Parameters:\n    77→//   - r: JobRepository instance for database operations\n    78→//   - ctx: Context for cancellation (shutdown signal propagation)\n    79→//\n    80→// The worker goroutine will run until:\n    81→//   - ctx is cancelled (via parent shutdown)\n    82→//   - archiveChannel is closed (via Shutdown())\n    83→//\n    84→// Must be called before TriggerArchiving(). Safe to call only once.\n    85→func Start(r *repository.JobRepository, ctx context.Context) {\n    86→\tshutdownCtx, shutdownCancel = context.WithCancel(ctx)\n    87→\tarchiveChannel = make(chan *schema.Job, 128)\n    88→\tworkerDone = make(chan struct{})\n    89→\tjobRepo = r\n    90→\n    91→\tgo archivingWorker()\n    92→}\n    93→\n    94→// archivingWorker is the background goroutine that processes job archiving requests.\n    95→//\n    96→// The worker loop:\n    97→//  1. Blocks waiting for jobs on archiveChannel or shutdown signal\n    98→//  2. Fetches job metadata from repository\n    99→//  3. Archives job data to configured backend (calls ArchiveJob)\n   100→//  4. Updates job footprint and energy metrics in database\n   101→//  5. Marks job as successfully archived\n   102→//  6. Calls job stop hooks\n   103→//\n   104→// The worker exits when:\n   105→//   - shutdownCtx is cancelled (timeout during shutdown)\n   106→//   - archiveChannel is closed (normal shutdown)\n   107→//\n   108→// Errors during archiving are logged and the job is marked as failed,\n   109→// but the worker continues processing other jobs.\n   110→func archivingWorker() {\n   111→\tdefer close(workerDone)\n   112→\n   113→\tfor {\n   114→\t\tselect {\n   115→\t\tcase <-shutdownCtx.Done():\n   116→\t\t\tcclog.Info(\"Archive worker received shutdown signal\")\n   117→\t\t\treturn\n   118→\n   119→\t\tcase job, ok := <-archiveChannel:\n   120→\t\t\tif !ok {\n   121→\t\t\t\tcclog.Info(\"Archive channel closed, worker exiting\")\n   122→\t\t\t\treturn\n   123→\t\t\t}\n   124→\n   125→\t\t\tstart := time.Now()\n   126→\t\t\t// not using meta data, called to load JobMeta into Cache?\n   127→\t\t\t// will fail if job meta not in repository\n   128→\t\t\tif _, err := jobRepo.FetchMetadata(job); err != nil {\n   129→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at check metadata step: %s\", *job.ID, err.Error())\n   130→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n   131→\t\t\t\tarchivePending.Done()\n   132→\t\t\t\tcontinue\n   133→\t\t\t}\n   134→\n   135→\t\t\t// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend\n   136→\t\t\t// Use shutdown context to allow cancellation\n   137→\t\t\tjobMeta, err := ArchiveJob(job, shutdownCtx)\n   138→\t\t\tif err != nil {\n   139→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at archiving job step: %s\", *job.ID, err.Error())\n   140→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n   141→\t\t\t\tarchivePending.Done()\n   142→\t\t\t\tcontinue\n   143→\t\t\t}\n   144→\n   145→\t\t\tstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\n   146→\n   147→\t\t\tif stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {\n   148→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Footprint step: %s\", *job.ID, err.Error())\n   149→\t\t\t\tarchivePending.Done()\n   150→\t\t\t\tcontinue\n   151→\t\t\t}\n   152→\t\t\tif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta); err != nil {\n   153→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Energy step: %s\", *job.ID, err.Error())\n   154→\t\t\t\tarchivePending.Done()\n   155→\t\t\t\tcontinue\n   156→\t\t\t}\n   157→\t\t\t// Update the jobs database entry one last time:\n   158→\t\t\tstmt = jobRepo.MarkArchived(stmt, schema.MonitoringStatusArchivingSuccessful)\n   159→\t\t\tif err := jobRepo.Execute(stmt); err != nil {\n   160→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at db execute: %s\", *job.ID, err.Error())\n   161→\t\t\t\tarchivePending.Done()\n   162→\t\t\t\tcontinue\n   163→\t\t\t}\n   164→\t\t\tcclog.Debugf(\"archiving job %d took %s\", job.JobID, time.Since(start))\n   165→\t\t\tcclog.Infof(\"archiving job (dbid: %d) successful\", *job.ID)\n   166→\n   167→\t\t\trepository.CallJobStopHooks(job)\n   168→\t\t\tarchivePending.Done()\n   169→\t\t}\n   170→\t}\n   171→}\n   172→\n   173→// TriggerArchiving queues a job for asynchronous archiving.\n   174→//\n   175→// This function should be called when a job completes (stops) to archive its\n   176→// metric data from the metric store to the configured archive backend.\n   177→//\n   178→// The function:\n   179→//  1. Increments the pending job counter (WaitGroup)\n   180→//  2. Sends the job to the archiving channel (buffered, capacity 128)\n   181→//  3. Returns immediately (non-blocking unless channel is full)\n   182→//\n   183→// The actual archiving is performed asynchronously by the worker goroutine.\n   184→// Upon completion, the worker will decrement the pending counter.\n   185→//\n   186→// Panics if Start() has not been called first.\n   187→func TriggerArchiving(job *schema.Job) {\n   188→\tif archiveChannel == nil {\n   189→\t\tcclog.Fatal(\"Cannot archive without archiving channel. Did you Start the archiver?\")\n   190→\t}\n   191→\n   192→\tarchivePending.Add(1)\n   193→\tarchiveChannel <- job\n   194→}\n   195→\n   196→// Shutdown performs a graceful shutdown of the archiver with a configurable timeout.\n   197→//\n   198→// The shutdown process:\n   199→//  1. Closes archiveChannel - no new jobs will be accepted\n   200→//  2. Waits for pending jobs to complete (up to timeout duration)\n   201→//  3. If timeout is exceeded:\n   202→//     - Cancels shutdownCtx to interrupt ongoing ArchiveJob operations\n   203→//     - Returns error indicating timeout\n   204→//  4. Waits for worker goroutine to exit cleanly\n   205→//\n   206→// Parameters:\n   207→//   - timeout: Maximum duration to wait for pending jobs to complete\n   208→//     (recommended: 10-30 seconds for production)\n   209→//\n   210→// Returns:\n   211→//   - nil if all jobs completed within timeout\n   212→//   - error if timeout was exceeded (some jobs may not have been archived)\n   213→//\n   214→// Jobs that don't complete within the timeout will be marked as failed.\n   215→// The function always ensures the worker goroutine exits before returning.\n   216→//\n   217→// Example:\n   218→//\n   219→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n   220→//\t    log.Printf(\"Some jobs did not complete: %v\", err)\n   221→//\t}\n   222→func Shutdown(timeout time.Duration) error {\n   223→\tcclog.Info(\"Initiating archiver shutdown...\")\n   224→\n   225→\t// Close channel to signal no more jobs will be accepted\n   226→\tclose(archiveChannel)\n   227→\n   228→\t// Create a channel to signal when all jobs are done\n   229→\tdone := make(chan struct{})\n   230→\tgo func() {\n   231→\t\tarchivePending.Wait()\n   232→\t\tclose(done)\n   233→\t}()\n   234→\n   235→\t// Wait for jobs to complete or timeout\n   236→\tselect {\n   237→\tcase <-done:\n   238→\t\tcclog.Info(\"All archive jobs completed successfully\")\n   239→\t\t// Wait for worker to exit\n   240→\t\t<-workerDone\n   241→\t\treturn nil\n   242→\tcase <-time.After(timeout):\n   243→\t\tcclog.Warn(\"Archiver shutdown timeout exceeded, cancelling remaining operations\")\n   244→\t\t// Cancel any ongoing operations\n   245→\t\tshutdownCancel()\n   246→\t\t// Wait for worker to exit\n   247→\t\t<-workerDone\n   248→\t\treturn fmt.Errorf(\"archiver shutdown timeout after %v\", timeout)\n   249→\t}\n   250→}\n   251→"}]},"uuid":"405ee9d5-6fd9-4bdf-bc8f-17596319c6ae","timestamp":"2026-03-16T10:18:55.304Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"b8c361a6-e42e-4f96-890f-e5833e6b9a23","timestamp":"2026-03-16T10:18:55.305Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"b8c361a6-e42e-4f96-890f-e5833e6b9a23","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JCpxD2KwaECyWX3YUBodAj","type":"tool_result","content":"<persisted-output>\nOutput too large (49.5KB). Full output saved to: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/3a41c7a4-abf8-484b-96ae-ee5618eea5ba/tool-results/REDACTED.txt\n\nPreview (first 2KB):\n     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package repository provides the data access layer for cc-backend using the repository pattern.\n     7→//\n     8→// The repository pattern abstracts database operations and provides a clean interface for\n     9→// data access. Each major entity (Job, User, Node, Tag) has its own repository with CRUD\n    10→// operations and specialized queries.\n    11→//\n    12→// # Database Connection\n    13→//\n    14→// Initialize the database connection before using any repository:\n    15→//\n    16→//\trepository.Connect(\"sqlite3\", \"./var/job.db\")\n    17→//\n    18→// # Configuration\n    19→//\n    20→// Optional: Configure repository settings before initialization:\n    21→//\n    22→//\trepository.SetConfig(&repository.RepositoryConfig{\n    23→//\t    CacheSize: 2 * 1024 * 1024,     // 2MB cache\n    24→//\t    MaxOpenConnections: 8,           // Connection pool size\n    25→//\t    MinRunningJobDuration: 300,      // Filter threshold\n    26→//\t})\n    27→//\n    28→// If not configured, sensible defaults are used automatically.\n    29→//\n    30→// # Repositories\n    31→//\n    32→//   - JobRepository: Job lifecycle management and querying\n    33→//   - UserRepository: User management and authentication\n    34→//   - NodeRepository: Cluster node state tracking\n    35→//   - Tags: Job tagging and categorization\n    36→//\n    37→// # Caching\n    38→//\n    39→// Repositories use LRU caching to improve performance. Cache keys are constructed\n    40→// as \"type:id\" (e.g., \"metadata:123\"). Cache is automatically invalidated on\n    41→// mutations to maintain consistency.\n    42→//\n    43→// # Transaction Support\n    44→//\n    45→// For batch operations, use transactions:\n    46→//\n    47→//\tt, err := jobRepo.TransactionInit()\n...\n</persisted-output>"}]},"uuid":"089401ce-0cb2-4e92-9555-abb914967adc","timestamp":"2026-03-16T10:18:55.322Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"f9e51b3f-c195-4177-ba1e-58db969e5f67","timestamp":"2026-03-16T10:18:55.323Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"fd320a15-6ab3-4edb-aff6-f0c9b486e533","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MQZmsnjqdmpxaaVKffBkSj","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"time\"\n    10→\n    11→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    14→\t\"github.com/go-co-op/gocron/v2\"\n    15→)\n    16→\n    17→func RegisterCompressionService(compressOlderThan int) {\n    18→\tcclog.Info(\"Register compression service\")\n    19→\n    20→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(5, 0, 0))),\n    21→\t\tgocron.NewTask(\n    22→\t\t\tfunc() {\n    23→\t\t\t\tvar jobs []*schema.Job\n    24→\t\t\t\tvar err error\n    25→\n    26→\t\t\t\tar := archive.GetHandle()\n    27→\t\t\t\tstartTime := time.Now().Unix() - int64(compressOlderThan*24*3600)\n    28→\t\t\t\tlastTime := ar.CompressLast(startTime)\n    29→\t\t\t\tif startTime == lastTime {\n    30→\t\t\t\t\tcclog.Info(\"Compression Service - Complete archive run\")\n    31→\t\t\t\t\tjobs, err = jobRepo.FindJobsBetween(0, startTime, \"none\")\n    32→\n    33→\t\t\t\t} else {\n    34→\t\t\t\t\tjobs, err = jobRepo.FindJobsBetween(lastTime, startTime, \"none\")\n    35→\t\t\t\t}\n    36→\n    37→\t\t\t\tif err != nil {\n    38→\t\t\t\t\tcclog.Warnf(\"Error while looking for compression jobs: %v\", err)\n    39→\t\t\t\t}\n    40→\t\t\t\tar.Compress(jobs)\n    41→\t\t\t}))\n    42→}\n    43→"}]},"uuid":"e8f53165-482b-4703-b747-9a21f952a933","timestamp":"2026-03-16T10:18:55.473Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"259bf582-dfdb-4a76-8d93-f5f999fa200a","timestamp":"2026-03-16T10:18:55.856Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"3cffaa12-8024-4952-893e-b91413d32eab","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013M6BNThre3DTv4Hwsj2Tcm","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"time\"\n    10→\n    11→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n    12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    13→\t\"github.com/go-co-op/gocron/v2\"\n    14→)\n    15→\n    16→func RegisterLdapSyncService(ds string) {\n    17→\tinterval, err := parseDuration(ds)\n    18→\tif err != nil {\n    19→\t\tcclog.Warnf(\"Could not parse duration for sync interval: %v\",\n    20→\t\t\tds)\n    21→\t\treturn\n    22→\t}\n    23→\n    24→\tauth := auth.GetAuthInstance()\n    25→\n    26→\tcclog.Infof(\"register ldap sync service with %s interval\", ds)\n    27→\n    28→\ts.NewJob(gocron.DurationJob(interval),\n    29→\t\tgocron.NewTask(\n    30→\t\t\tfunc() {\n    31→\t\t\t\tt := time.Now()\n    32→\t\t\t\tcclog.Infof(\"ldap sync started at %s\", t.Format(time.RFC3339))\n    33→\t\t\t\tif err := auth.LdapAuth.Sync(); err != nil {\n    34→\t\t\t\t\tcclog.Errorf(\"ldap sync failed: %s\", err.Error())\n    35→\t\t\t\t}\n    36→\t\t\t}))\n    37→}\n    38→"}]},"uuid":"1c60d702-e4b8-4cc4-ace0-ddc6515334ec","timestamp":"2026-03-16T10:18:55.874Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"2e01ca70-cb4a-4b2d-912e-798a03edb39b","timestamp":"2026-03-16T10:18:55.996Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"59f93677-f986-4c75-b29e-521a1699c568","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018XBW6RLSbwQd7oRNJo45a6","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"time\"\n    10→\n    11→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    12→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    13→\tpqarchive \"github.com/ClusterCockpit/cc-backend/pkg/archive/parquet\"\n    14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    15→\t\"github.com/go-co-op/gocron/v2\"\n    16→)\n    17→\n    18→func RegisterNodeStateRetentionDeleteService(ageHours int) {\n    19→\tcclog.Info(\"Register node state retention delete service\")\n    20→\n    21→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(2, 0, 0))),\n    22→\t\tgocron.NewTask(\n    23→\t\t\tfunc() {\n    24→\t\t\t\tcutoff := time.Now().Unix() - int64(ageHours*3600)\n    25→\t\t\t\tnodeRepo := repository.GetNodeRepository()\n    26→\t\t\t\tcnt, err := nodeRepo.DeleteNodeStatesBefore(cutoff)\n    27→\t\t\t\tif err != nil {\n    28→\t\t\t\t\tcclog.Errorf(\"NodeState retention: error deleting old rows: %v\", err)\n    29→\t\t\t\t} else if cnt > 0 {\n    30→\t\t\t\t\tcclog.Infof(\"NodeState retention: deleted %d old rows\", cnt)\n    31→\t\t\t\t}\n    32→\t\t\t}))\n    33→}\n    34→\n    35→func RegisterNodeStateRetentionMoveService(cfg *config.NodeStateRetention) {\n    36→\tcclog.Info(\"Register node state retention move service\")\n    37→\n    38→\tmaxFileSizeMB := cfg.MaxFileSizeMB\n    39→\tif maxFileSizeMB <= 0 {\n    40→\t\tmaxFileSizeMB = 128\n    41→\t}\n    42→\n    43→\tageHours := cfg.Age\n    44→\tif ageHours <= 0 {\n    45→\t\tageHours = 24\n    46→\t}\n    47→\n    48→\tvar target pqarchive.ParquetTarget\n    49→\tvar err error\n    50→\n    51→\tswitch cfg.TargetKind {\n    52→\tcase \"s3\":\n    53→\t\ttarget, err = pqarchive.NewS3Target(pqarchive.S3TargetConfig{\n    54→\t\t\tEndpoint:     cfg.TargetEndpoint,\n    55→\t\t\tBucket:       cfg.TargetBucket,\n    56→\t\t\tAccessKey:    cfg.TargetAccessKey,\n    57→\t\t\tSecretKey:    cfg.TargetSecretKey,\n    58→\t\t\tRegion:       cfg.TargetRegion,\n    59→\t\t\tUsePathStyle: cfg.TargetUsePathStyle,\n    60→\t\t})\n    61→\tdefault:\n    62→\t\ttarget, err = pqarchive.NewFileTarget(cfg.TargetPath)\n    63→\t}\n    64→\n    65→\tif err != nil {\n    66→\t\tcclog.Errorf(\"NodeState move retention: failed to create target: %v\", err)\n    67→\t\treturn\n    68→\t}\n    69→\n    70→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(2, 30, 0))),\n    71→\t\tgocron.NewTask(\n    72→\t\t\tfunc() {\n    73→\t\t\t\tcutoff := time.Now().Unix() - int64(ageHours*3600)\n    74→\t\t\t\tnodeRepo := repository.GetNodeRepository()\n    75→\n    76→\t\t\t\trows, err := nodeRepo.FindNodeStatesBefore(cutoff)\n    77→\t\t\t\tif err != nil {\n    78→\t\t\t\t\tcclog.Errorf(\"NodeState move retention: error finding rows: %v\", err)\n    79→\t\t\t\t\treturn\n    80→\t\t\t\t}\n    81→\t\t\t\tif len(rows) == 0 {\n    82→\t\t\t\t\treturn\n    83→\t\t\t\t}\n    84→\n    85→\t\t\t\tcclog.Infof(\"NodeState move retention: archiving %d rows\", len(rows))\n    86→\t\t\t\tpw := pqarchive.NewNodeStateParquetWriter(target, maxFileSizeMB)\n    87→\n    88→\t\t\t\tfor _, ns := range rows {\n    89→\t\t\t\t\trow := pqarchive.ParquetNodeStateRow{\n    90→\t\t\t\t\t\tTimeStamp:       ns.TimeStamp,\n    91→\t\t\t\t\t\tNodeState:       ns.NodeState,\n    92→\t\t\t\t\t\tHealthState:     ns.HealthState,\n    93→\t\t\t\t\t\tHealthMetrics:   ns.HealthMetrics,\n    94→\t\t\t\t\t\tCpusAllocated:   int32(ns.CpusAllocated),\n    95→\t\t\t\t\t\tMemoryAllocated: ns.MemoryAllocated,\n    96→\t\t\t\t\t\tGpusAllocated:   int32(ns.GpusAllocated),\n    97→\t\t\t\t\t\tJobsRunning:     int32(ns.JobsRunning),\n    98→\t\t\t\t\t\tHostname:        ns.Hostname,\n    99→\t\t\t\t\t\tCluster:         ns.Cluster,\n   100→\t\t\t\t\t\tSubCluster:      ns.SubCluster,\n   101→\t\t\t\t\t}\n   102→\t\t\t\t\tif err := pw.AddRow(row); err != nil {\n   103→\t\t\t\t\t\tcclog.Errorf(\"NodeState move retention: add row: %v\", err)\n   104→\t\t\t\t\t\tcontinue\n   105→\t\t\t\t\t}\n   106→\t\t\t\t}\n   107→\n   108→\t\t\t\tif err := pw.Close(); err != nil {\n   109→\t\t\t\t\tcclog.Errorf(\"NodeState move retention: close writer: %v\", err)\n   110→\t\t\t\t\treturn\n   111→\t\t\t\t}\n   112→\n   113→\t\t\t\tcnt, err := nodeRepo.DeleteNodeStatesBefore(cutoff)\n   114→\t\t\t\tif err != nil {\n   115→\t\t\t\t\tcclog.Errorf(\"NodeState move retention: error deleting rows: %v\", err)\n   116→\t\t\t\t} else {\n   117→\t\t\t\t\tcclog.Infof(\"NodeState move retention: deleted %d rows from db\", cnt)\n   118→\t\t\t\t}\n   119→\t\t\t}))\n   120→}\n   121→"}]},"uuid":"f9762894-9465-4606-966b-0a21d330a11f","timestamp":"2026-03-16T10:18:56.082Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"e1e25d1e-c7dc-441b-9712-fbf86018043c","timestamp":"2026-03-16T10:18:56.082Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"e1e25d1e-c7dc-441b-9712-fbf86018043c","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:56.784Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01SuYm9ETJD4ree6rxCAbJrq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PKJE6CV2D4pFHnZayvhwdS","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go","limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":13120,"cache_read_input_tokens":75153,"cache_creation":{"ephemeral_5m_input_tokens":13120,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b78f4sCfEkDxNjQumS","uuid":"194e08c0-ad26-4440-9b3e-74cae396fccc"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"ae566622-dd01-4566-aeba-40ddd690b103","timestamp":"2026-03-16T10:18:56.785Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"ae566622-dd01-4566-aeba-40ddd690b103","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PKJE6CV2D4pFHnZayvhwdS","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package archiver provides asynchronous job archiving functionality for ClusterCockpit.\n     7→//\n     8→// The archiver runs a background worker goroutine that processes job archiving requests\n     9→// from a buffered channel. When jobs complete, their metric data is archived from the\n    10→// metric store to the configured archive backend (filesystem, S3, etc.).\n    11→//\n    12→// # Architecture\n    13→//\n    14→// The archiver uses a producer-consumer pattern:\n    15→//   - Producer: TriggerArchiving() sends jobs to archiveChannel\n    16→//   - Consumer: archivingWorker() processes jobs from the channel\n    17→//   - Coordination: sync.WaitGroup tracks pending archive operations\n    18→//\n    19→// # Lifecycle\n    20→//\n    21→//  1. Start(repo, ctx) - Initialize worker with context for cancellation\n    22→//  2. TriggerArchiving(job) - Queue job for archiving (called when job stops)\n    23→//  3. archivingWorker() - Background goroutine processes jobs\n    24→//  4. Shutdown(timeout) - Graceful shutdown with timeout\n    25→//\n    26→// # Graceful Shutdown\n    27→//\n    28→// The archiver supports graceful shutdown with configurable timeout:\n    29→//   - Closes channel to reject new jobs\n    30→//   - Waits for pending jobs to complete (up to timeout)\n    31→//   - Cancels context if timeout exceeded\n    32→//   - Ensures worker goroutine exits cleanly\n    33→//\n    34→// # Example Usage\n    35→//\n    36→//\t// Initialize archiver\n    37→//\tctx, cancel := context.WithCancel(context.Background())\n    38→//\tdefer cancel()\n    39→//\tarchiver.Start(jobRepository, ctx)\n    40→//\n    41→//\t// Trigger archiving when job completes\n    42→//\tarchiver.TriggerArchiving(job)\n    43→//\n    44→//\t// Graceful shutdown with 10 second timeout\n    45→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n    46→//\t    log.Printf(\"Archiver shutdown timeout: %v\", err)\n    47→//\t}\n    48→package archiver\n    49→\n    50→import (\n    51→\t\"context\"\n    52→\t\"fmt\"\n    53→\t\"sync\"\n    54→\t\"time\"\n    55→\n    56→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    57→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    58→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    59→\tsq \"github.com/Masterminds/squirrel\"\n    60→)\n    61→\n    62→var (\n    63→\tarchivePending sync.WaitGroup\n    64→\tarchiveChannel chan *schema.Job\n    65→\tjobRepo        *repository.JobRepository\n    66→\tshutdownCtx    context.Context\n    67→\tshutdownCancel context.CancelFunc\n    68→\tworkerDone     chan struct{}\n    69→)\n    70→\n    71→// Start initializes the archiver and starts the background worker goroutine.\n    72→//\n    73→// The archiver processes job archiving requests asynchronously via a buffered channel.\n    74→// Jobs are sent to the channel using TriggerArchiving() and processed by the worker.\n    75→//\n    76→// Parameters:\n    77→//   - r: JobRepository instance for database operations\n    78→//   - ctx: Context for cancellation (shutdown signal propagation)\n    79→//\n    80→// The worker goroutine will run until:\n    81→//   - ctx is cancelled (via parent shutdown)\n    82→//   - archiveChannel is closed (via Shutdown())\n    83→//\n    84→// Must be called before TriggerArchiving(). Safe to call only once.\n    85→func Start(r *repository.JobRepository, ctx context.Context) {\n    86→\tshutdownCtx, shutdownCancel = context.WithCancel(ctx)\n    87→\tarchiveChannel = make(chan *schema.Job, 128)\n    88→\tworkerDone = make(chan struct{})\n    89→\tjobRepo = r\n    90→\n    91→\tgo archivingWorker()\n    92→}\n    93→\n    94→// archivingWorker is the background goroutine that processes job archiving requests.\n    95→//\n    96→// The worker loop:\n    97→//  1. Blocks waiting for jobs on archiveChannel or shutdown signal\n    98→//  2. Fetches job metadata from repository\n    99→//  3. Archives job data to configured backend (calls ArchiveJob)\n   100→//  4. Updates job footprint and energy metrics in database\n   101→//  5. Marks job as successfully archived\n   102→//  6. Calls job stop hooks\n   103→//\n   104→// The worker exits when:\n   105→//   - shutdownCtx is cancelled (timeout during shutdown)\n   106→//   - archiveChannel is closed (normal shutdown)\n   107→//\n   108→// Errors during archiving are logged and the job is marked as failed,\n   109→// but the worker continues processing other jobs.\n   110→func archivingWorker() {\n   111→\tdefer close(workerDone)\n   112→\n   113→\tfor {\n   114→\t\tselect {\n   115→\t\tcase <-shutdownCtx.Done():\n   116→\t\t\tcclog.Info(\"Archive worker received shutdown signal\")\n   117→\t\t\treturn\n   118→\n   119→\t\tcase job, ok := <-archiveChannel:\n   120→\t\t\tif !ok {\n   121→\t\t\t\tcclog.Info(\"Archive channel closed, worker exiting\")\n   122→\t\t\t\treturn\n   123→\t\t\t}\n   124→\n   125→\t\t\tstart := time.Now()\n   126→\t\t\t// not using meta data, called to load JobMeta into Cache?\n   127→\t\t\t// will fail if job meta not in repository\n   128→\t\t\tif _, err := jobRepo.FetchMetadata(job); err != nil {\n   129→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at check metadata step: %s\", *job.ID, err.Error())\n   130→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n   131→\t\t\t\tarchivePending.Done()\n   132→\t\t\t\tcontinue\n   133→\t\t\t}\n   134→\n   135→\t\t\t// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend\n   136→\t\t\t// Use shutdown context to allow cancellation\n   137→\t\t\tjobMeta, err := ArchiveJob(job, shutdownCtx)\n   138→\t\t\tif err != nil {\n   139→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at archiving job step: %s\", *job.ID, err.Error())\n   140→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n   141→\t\t\t\tarchivePending.Done()\n   142→\t\t\t\tcontinue\n   143→\t\t\t}\n   144→\n   145→\t\t\tstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\n   146→\n   147→\t\t\tif stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {\n   148→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Footprint step: %s\", *job.ID, err.Error())\n   149→\t\t\t\tarchivePending.Done()\n   150→\t\t\t\tcontinue"}]},"uuid":"6d86fae3-2604-4302-a1b1-5ca9072c68a7","timestamp":"2026-03-16T10:18:56.805Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"5cc95228-d2e3-4346-b5d6-c0bccc966e9a","timestamp":"2026-03-16T10:18:56.999Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"5cc95228-d2e3-4346-b5d6-c0bccc966e9a","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:57.060Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01SuYm9ETJD4ree6rxCAbJrq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BCix2A6sVowtVAWUTzyezG","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go","limit":200},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":13120,"cache_read_input_tokens":75153,"cache_creation":{"ephemeral_5m_input_tokens":13120,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b78f4sCfEkDxNjQumS","uuid":"d6a67665-3003-4c6d-bf9d-60368843aaba"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"d45047d6-95bc-473b-9ab4-4da9b5bb4c00","timestamp":"2026-03-16T10:18:57.060Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d45047d6-95bc-473b-9ab4-4da9b5bb4c00","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BCix2A6sVowtVAWUTzyezG","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package importer\n     7→\n     8→import (\n     9→\t\"bytes\"\n    10→\t\"encoding/json\"\n    11→\t\"fmt\"\n    12→\t\"os\"\n    13→\t\"strings\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    19→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    20→)\n    21→\n    22→// HandleImportFlag imports jobs from file pairs specified in a comma-separated flag string.\n    23→//\n    24→// The flag format is: \"<path-to-meta.json>:<path-to-data.json>[,<path-to-meta2.json>:<path-to-data2.json>,...]\"\n    25→//\n    26→// For each job pair, this function:\n    27→//  1. Reads and validates the metadata JSON file (schema.Job)\n    28→//  2. Reads and validates the job data JSON file (schema.JobData)\n    29→//  3. Enriches the job with calculated footprints and energy metrics\n    30→//  4. Validates the job using SanityChecks()\n    31→//  5. Imports the job into the archive\n    32→//  6. Inserts the job into the database with associated tags\n    33→//\n    34→// Schema validation is performed if config.Keys.Validate is true.\n    35→//\n    36→// Returns an error if file reading, validation, enrichment, or database operations fail.\n    37→// The function stops processing on the first error encountered.\n    38→func HandleImportFlag(flag string) error {\n    39→\tr := repository.GetJobRepository()\n    40→\n    41→\tfor pair := range strings.SplitSeq(flag, \",\") {\n    42→\t\tfiles := strings.Split(pair, \":\")\n    43→\t\tif len(files) != 2 {\n    44→\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > invalid import flag format\")\n    45→\t\t}\n    46→\n    47→\t\traw, err := os.ReadFile(files[0])\n    48→\t\tif err != nil {\n    49→\t\t\tcclog.Warn(\"Error while reading metadata file for import\")\n    50→\t\t\treturn err\n    51→\t\t}\n    52→\n    53→\t\tif config.Keys.Validate {\n    54→\t\t\tif err = schema.Validate(schema.Meta, bytes.NewReader(raw)); err != nil {\n    55→\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job meta: %v\", err)\n    56→\t\t\t}\n    57→\t\t}\n    58→\t\tdec := json.NewDecoder(bytes.NewReader(raw))\n    59→\t\tdec.DisallowUnknownFields()\n    60→\t\tjob := schema.Job{\n    61→\t\t\tShared:           \"none\",\n    62→\t\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n    63→\t\t}\n    64→\t\tif err = dec.Decode(&job); err != nil {\n    65→\t\t\tcclog.Warn(\"Error while decoding raw json metadata for import\")\n    66→\t\t\treturn err\n    67→\t\t}\n    68→\n    69→\t\traw, err = os.ReadFile(files[1])\n    70→\t\tif err != nil {\n    71→\t\t\tcclog.Warn(\"Error while reading jobdata file for import\")\n    72→\t\t\treturn err\n    73→\t\t}\n    74→\n    75→\t\tif config.Keys.Validate {\n    76→\t\t\tif err = schema.Validate(schema.Data, bytes.NewReader(raw)); err != nil {\n    77→\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job data: %v\", err)\n    78→\t\t\t}\n    79→\t\t}\n    80→\t\tdec = json.NewDecoder(bytes.NewReader(raw))\n    81→\t\tdec.DisallowUnknownFields()\n    82→\t\tjobData := schema.JobData{}\n    83→\t\tif err = dec.Decode(&jobData); err != nil {\n    84→\t\t\tcclog.Warn(\"Error while decoding raw json jobdata for import\")\n    85→\t\t\treturn err\n    86→\t\t}\n    87→\n    88→\t\tjob.MonitoringStatus = schema.MonitoringStatusArchivingSuccessful\n    89→\n    90→\t\tif err = enrichJobMetadata(&job); err != nil {\n    91→\t\t\tcclog.Errorf(\"Error enriching job metadata: %v\", err)\n    92→\t\t\treturn err\n    93→\t\t}\n    94→\n    95→\t\tif err = SanityChecks(&job); err != nil {\n    96→\t\t\tcclog.Warn(\"BaseJob SanityChecks failed\")\n    97→\t\t\treturn err\n    98→\t\t}\n    99→\n   100→\t\tif err = archive.GetHandle().ImportJob(&job, &jobData); err != nil {\n   101→\t\t\tcclog.Error(\"Error while importing job\")\n   102→\t\t\treturn err\n   103→\t\t}\n   104→\n   105→\t\tid, err := r.InsertJobDirect(&job)\n   106→\t\tif err != nil {\n   107→\t\t\tcclog.Warn(\"Error while job db insert\")\n   108→\t\t\treturn err\n   109→\t\t}\n   110→\n   111→\t\tfor _, tag := range job.Tags {\n   112→\t\t\tif err := r.ImportTag(id, tag.Type, tag.Name, tag.Scope); err != nil {\n   113→\t\t\t\tcclog.Error(\"Error while adding or creating tag on import\")\n   114→\t\t\t\treturn err\n   115→\t\t\t}\n   116→\t\t}\n   117→\n   118→\t\tcclog.Infof(\"successfully imported a new job (jobId: %d, cluster: %s, dbid: %d)\", job.JobID, job.Cluster, id)\n   119→\t}\n   120→\treturn nil\n   121→}\n   122→"}]},"uuid":"ca22fa68-3ed2-48a6-821f-5cc1b1f22757","timestamp":"2026-03-16T10:18:57.071Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"31d0c38a-bfcb-4bc0-bfda-d6872b326b0e","timestamp":"2026-03-16T10:18:57.073Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"31d0c38a-bfcb-4bc0-bfda-d6872b326b0e","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:57.080Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Lrz8ddRNW1dyYzAgLt2a4e","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FPFctn7YD2bboFg9SPrNnU","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiver.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3395,"cache_creation_input_tokens":15343,"cache_read_input_tokens":18964,"cache_creation":{"ephemeral_5m_input_tokens":15343,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7KMFmx3TqednMpmZn","uuid":"558e9215-f4cd-48cd-9bbd-41a1b069f026"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"1f7e6571-ade8-4ef3-b024-9b6093bffec6","timestamp":"2026-03-16T10:18:57.080Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"1f7e6571-ade8-4ef3-b024-9b6093bffec6","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FPFctn7YD2bboFg9SPrNnU","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package archiver\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"math\"\n    11→\n    12→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    13→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    15→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    16→)\n    17→\n    18→// ArchiveJob archives a completed job's metric data to the configured archive backend.\n    19→//\n    20→// This function performs the following operations:\n    21→//  1. Loads all metric data for the job from the metric data repository\n    22→//  2. Calculates job-level statistics (avg, min, max) for each metric\n    23→//  3. Stores the job metadata and metric data to the archive backend\n    24→//\n    25→// Metric data is retrieved at the highest available resolution (typically 60s)\n    26→// for the following scopes:\n    27→//   - Node scope (always)\n    28→//   - Core scope (for jobs with ≤8 nodes, to reduce data volume)\n    29→//   - Accelerator scope (if job used accelerators)\n    30→//\n    31→// The function respects context cancellation. If ctx is cancelled (e.g., during\n    32→// shutdown timeout), the operation will be interrupted and return an error.\n    33→//\n    34→// Parameters:\n    35→//   - job: The job to archive (must be a completed job)\n    36→//   - ctx: Context for cancellation and timeout control\n    37→//\n    38→// Returns:\n    39→//   - *schema.Job with populated Statistics field\n    40→//   - error if data loading or archiving fails\n    41→//\n    42→// If config.Keys.DisableArchive is true, only job statistics are calculated\n    43→// and returned (no data is written to archive backend).\n    44→func ArchiveJob(job *schema.Job, ctx context.Context) (*schema.Job, error) {\n    45→\tallMetrics := make([]string, 0)\n    46→\tmetricConfigs := archive.GetCluster(job.Cluster).MetricConfig\n    47→\tfor _, mc := range metricConfigs {\n    48→\t\tallMetrics = append(allMetrics, mc.Name)\n    49→\t}\n    50→\n    51→\tscopes := []schema.MetricScope{schema.MetricScopeNode}\n    52→\t// FIXME: Add a config option for this\n    53→\tif job.NumNodes <= 8 {\n    54→\t\t// This will add the native scope if core scope is not available\n    55→\t\tscopes = append(scopes, schema.MetricScopeCore)\n    56→\t}\n    57→\n    58→\tif job.NumAcc > 0 {\n    59→\t\tscopes = append(scopes, schema.MetricScopeAccelerator)\n    60→\t}\n    61→\n    62→\tjobData, err := metricdispatch.LoadData(job, allMetrics, scopes, ctx, 0) // 0 Resulotion-Value retrieves highest res (60s)\n    63→\tif err != nil {\n    64→\t\tcclog.Error(\"Error wile loading job data for archiving\")\n    65→\t\treturn nil, err\n    66→\t}\n    67→\n    68→\tjob.Statistics = make(map[string]schema.JobStatistics)\n    69→\n    70→\tfor metric, data := range jobData {\n    71→\t\tavg, min, max := 0.0, math.MaxFloat32, -math.MaxFloat32\n    72→\t\tnodeData, ok := data[\"node\"]\n    73→\t\tif !ok {\n    74→\t\t\t// This should never happen ?\n    75→\t\t\tcontinue\n    76→\t\t}\n    77→\n    78→\t\tfor _, series := range nodeData.Series {\n    79→\t\t\tavg += series.Statistics.Avg\n    80→\t\t\tmin = math.Min(min, series.Statistics.Min)\n    81→\t\t\tmax = math.Max(max, series.Statistics.Max)\n    82→\t\t}\n    83→\n    84→\t\t// Round AVG Result to 2 Digits\n    85→\t\tjob.Statistics[metric] = schema.JobStatistics{\n    86→\t\t\tUnit: schema.Unit{\n    87→\t\t\t\tPrefix: archive.GetMetricConfig(job.Cluster, metric).Unit.Prefix,\n    88→\t\t\t\tBase:   archive.GetMetricConfig(job.Cluster, metric).Unit.Base,\n    89→\t\t\t},\n    90→\t\t\tAvg: (math.Round((avg/float64(job.NumNodes))*100) / 100),\n    91→\t\t\tMin: min,\n    92→\t\t\tMax: max,\n    93→\t\t}\n    94→\t}\n    95→\n    96→\treturn job, archive.GetHandle().ImportJob(job, &jobData)\n    97→}\n    98→"}]},"uuid":"0f97dce8-97fa-47db-8e68-42c8ecf0394e","timestamp":"2026-03-16T10:18:57.083Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"6859b3f5-7744-4937-a42d-9a53bf815a8d","timestamp":"2026-03-16T10:18:57.083Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"6859b3f5-7744-4937-a42d-9a53bf815a8d","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:57.329Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01SuYm9ETJD4ree6rxCAbJrq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011rJJPwd34bsw3YNZxcu7rN","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/initDB.go","limit":200},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":13120,"cache_read_input_tokens":75153,"cache_creation":{"ephemeral_5m_input_tokens":13120,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b78f4sCfEkDxNjQumS","uuid":"d77736fa-a88d-4307-95f5-09fbe08a2e5b"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"c56a655c-046a-48f4-8d7b-8994f6d6d536","timestamp":"2026-03-16T10:18:57.330Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"c56a655c-046a-48f4-8d7b-8994f6d6d536","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011rJJPwd34bsw3YNZxcu7rN","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package importer provides functionality for importing job data into the ClusterCockpit database.\n     7→//\n     8→// The package supports two primary use cases:\n     9→//  1. Bulk database initialization from archived jobs via InitDB()\n    10→//  2. Individual job import from file pairs via HandleImportFlag()\n    11→//\n    12→// Both operations enrich job metadata by calculating footprints and energy metrics\n    13→// before persisting to the database.\n    14→package importer\n    15→\n    16→import (\n    17→\t\"encoding/json\"\n    18→\t\"fmt\"\n    19→\t\"math\"\n    20→\t\"strings\"\n    21→\t\"time\"\n    22→\n    23→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    24→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    25→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    26→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    27→)\n    28→\n    29→const (\n    30→\taddTagQuery = \"INSERT INTO tag (tag_name, tag_type) VALUES (?, ?)\"\n    31→\tsetTagQuery = \"INSERT INTO jobtag (job_id, tag_id) VALUES (?, ?)\"\n    32→)\n    33→\n    34→// InitDB reinitializes the job database from archived job data.\n    35→//\n    36→// This function performs the following operations:\n    37→//  1. Flushes existing job, tag, and jobtag tables\n    38→//  2. Iterates through all jobs in the archive\n    39→//  3. Enriches each job with calculated footprints and energy metrics\n    40→//  4. Inserts jobs and tags into the database in batched transactions\n    41→//\n    42→// Jobs are processed in batches of 100 for optimal performance. The function\n    43→// continues processing even if individual jobs fail, logging errors and\n    44→// returning a summary at the end.\n    45→//\n    46→// Returns an error if database initialization, transaction management, or\n    47→// critical operations fail. Individual job failures are logged but do not\n    48→// stop the overall import process.\n    49→func InitDB() error {\n    50→\tr := repository.GetJobRepository()\n    51→\tif err := r.Flush(); err != nil {\n    52→\t\tcclog.Errorf(\"repository initDB(): %v\", err)\n    53→\t\treturn err\n    54→\t}\n    55→\tstarttime := time.Now()\n    56→\tcclog.Print(\"Building job table...\")\n    57→\n    58→\tt, err := r.TransactionInit()\n    59→\tif err != nil {\n    60→\t\tcclog.Warn(\"Error while initializing SQL transactions\")\n    61→\t\treturn err\n    62→\t}\n    63→\ttags := make(map[string]int64)\n    64→\n    65→\t// Not using cclog.Print because we want the line to end with `\\r` and\n    66→\t// this function is only ever called when a special command line flag\n    67→\t// is passed anyways.\n    68→\tfmt.Printf(\"%d jobs inserted...\\r\", 0)\n    69→\n    70→\tar := archive.GetHandle()\n    71→\ti := 0\n    72→\terrorOccured := 0\n    73→\n    74→\tfor jobContainer := range ar.Iter(false) {\n    75→\n    76→\t\tjobMeta := jobContainer.Meta\n    77→\t\tif jobMeta == nil {\n    78→\t\t\tcclog.Warn(\"skipping job with nil metadata\")\n    79→\t\t\terrorOccured++\n    80→\t\t\tcontinue\n    81→\t\t}\n    82→\n    83→\t\t// Bundle 100 inserts into one transaction for better performance\n    84→\t\tif i%100 == 0 {\n    85→\t\t\tif i > 0 {\n    86→\t\t\t\tif err := t.Commit(); err != nil {\n    87→\t\t\t\t\tcclog.Errorf(\"transaction commit error: %v\", err)\n    88→\t\t\t\t\treturn err\n    89→\t\t\t\t}\n    90→\t\t\t\t// Start a new transaction for the next batch\n    91→\t\t\t\tt, err = r.TransactionInit()\n    92→\t\t\t\tif err != nil {\n    93→\t\t\t\t\tcclog.Errorf(\"transaction init error: %v\", err)\n    94→\t\t\t\t\treturn err\n    95→\t\t\t\t}\n    96→\t\t\t}\n    97→\t\t\tfmt.Printf(\"%d jobs inserted...\\r\", i)\n    98→\t\t}\n    99→\n   100→\t\tjobMeta.MonitoringStatus = schema.MonitoringStatusArchivingSuccessful\n   101→\n   102→\t\tif err := enrichJobMetadata(jobMeta); err != nil {\n   103→\t\t\tcclog.Errorf(\"repository initDB(): %v\", err)\n   104→\t\t\terrorOccured++\n   105→\t\t\tcontinue\n   106→\t\t}\n   107→\n   108→\t\tif err := SanityChecks(jobMeta); err != nil {\n   109→\t\t\tcclog.Errorf(\"repository initDB(): %v\", err)\n   110→\t\t\terrorOccured++\n   111→\t\t\tcontinue\n   112→\t\t}\n   113→\n   114→\t\tid, jobErr := r.TransactionAddNamed(t,\n   115→\t\t\trepository.NamedJobInsert, jobMeta)\n   116→\t\tif jobErr != nil {\n   117→\t\t\tcclog.Errorf(\"repository initDB(): %v\", jobErr)\n   118→\t\t\terrorOccured++\n   119→\t\t\tcontinue\n   120→\t\t}\n   121→\n   122→\t\t// Job successfully inserted, increment counter\n   123→\t\ti += 1\n   124→\n   125→\t\tfor _, tag := range jobMeta.Tags {\n   126→\t\t\ttagstr := tag.Name + \":\" + tag.Type\n   127→\t\t\ttagID, ok := tags[tagstr]\n   128→\t\t\tif !ok {\n   129→\t\t\t\tvar err error\n   130→\t\t\t\ttagID, err = r.TransactionAdd(t,\n   131→\t\t\t\t\taddTagQuery,\n   132→\t\t\t\t\ttag.Name, tag.Type)\n   133→\t\t\t\tif err != nil {\n   134→\t\t\t\t\tcclog.Errorf(\"Error adding tag: %v\", err)\n   135→\t\t\t\t\terrorOccured++\n   136→\t\t\t\t\tcontinue\n   137→\t\t\t\t}\n   138→\t\t\t\ttags[tagstr] = tagID\n   139→\t\t\t}\n   140→\n   141→\t\t\tr.TransactionAdd(t,\n   142→\t\t\t\tsetTagQuery,\n   143→\t\t\t\tid, tagID)\n   144→\t\t}\n   145→\t}\n   146→\n   147→\tif errorOccured > 0 {\n   148→\t\tcclog.Warnf(\"Error in import of %d jobs!\", errorOccured)\n   149→\t}\n   150→\n   151→\tr.TransactionEnd(t)\n   152→\tcclog.Infof(\"A total of %d jobs have been registered in %.3f seconds.\", i, time.Since(starttime).Seconds())\n   153→\treturn nil\n   154→}\n   155→\n   156→// enrichJobMetadata calculates and populates job footprints, energy metrics, and serialized fields.\n   157→//\n   158→// This function performs the following enrichment operations:\n   159→//  1. Calculates job footprint metrics based on the subcluster configuration\n   160→//  2. Computes energy footprint and total energy consumption in kWh\n   161→//  3. Marshals footprints, resources, and metadata into JSON for database storage\n   162→//\n   163→// The function expects the job's MonitoringStatus and SubCluster to be already set.\n   164→// Energy calculations convert power metrics (Watts) to energy (kWh) using the formula:\n   165→//\n   166→//\tEnergy (kWh) = (Power (W) * Duration (s) / 3600) / 1000\n   167→//\n   168→// Returns an error if subcluster retrieval, metric indexing, or JSON marshaling fails.\n   169→func enrichJobMetadata(job *schema.Job) error {\n   170→\tsc, err := archive.GetSubCluster(job.Cluster, job.SubCluster)\n   171→\tif err != nil {\n   172→\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())\n   173→\t\treturn err\n   174→\t}\n   175→\n   176→\tjob.Footprint = make(map[string]float64)\n   177→\n   178→\tfor _, fp := range sc.Footprint {\n   179→\t\tstatType := \"avg\"\n   180→\n   181→\t\tif i, err := archive.MetricIndex(sc.MetricConfig, fp); err != nil {\n   182→\t\t\tstatType = sc.MetricConfig[i].Footprint\n   183→\t\t}\n   184→\n   185→\t\tname := fmt.Sprintf(\"%s_%s\", fp, statType)\n   186→\n   187→\t\tjob.Footprint[name] = repository.LoadJobStat(job, fp, statType)\n   188→\t}\n   189→\n   190→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   191→\tif err != nil {\n   192→\t\tcclog.Warn(\"Error while marshaling job footprint\")\n   193→\t\treturn err\n   194→\t}\n   195→\n   196→\tjob.EnergyFootprint = make(map[string]float64)\n   197→\n   198→\t// Total Job Energy Outside Loop\n   199→\ttotalEnergy := 0.0\n   200→\tfor _, fp := range sc.EnergyFootprint {"}]},"uuid":"4407068c-6ca3-426f-88f7-c521c21cd0a5","timestamp":"2026-03-16T10:18:57.345Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"d9c88ef0-c3f8-42c4-9dd2-3a8da84fc718","timestamp":"2026-03-16T10:18:57.350Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"aa891431-52a8-45b4-9c57-2437200dddf9","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012EPYaVpBxKQ7QQCci4VrHf","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package importer\n     7→\n     8→import (\n     9→\t\"bytes\"\n    10→\t\"encoding/json\"\n    11→\t\"fmt\"\n    12→\t\"os\"\n    13→\t\"strings\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    19→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    20→)\n    21→\n    22→// HandleImportFlag imports jobs from file pairs specified in a comma-separated flag string.\n    23→//\n    24→// The flag format is: \"<path-to-meta.json>:<path-to-data.json>[,<path-to-meta2.json>:<path-to-data2.json>,...]\"\n    25→//\n    26→// For each job pair, this function:\n    27→//  1. Reads and validates the metadata JSON file (schema.Job)\n    28→//  2. Reads and validates the job data JSON file (schema.JobData)\n    29→//  3. Enriches the job with calculated footprints and energy metrics\n    30→//  4. Validates the job using SanityChecks()\n    31→//  5. Imports the job into the archive\n    32→//  6. Inserts the job into the database with associated tags\n    33→//\n    34→// Schema validation is performed if config.Keys.Validate is true.\n    35→//\n    36→// Returns an error if file reading, validation, enrichment, or database operations fail.\n    37→// The function stops processing on the first error encountered.\n    38→func HandleImportFlag(flag string) error {\n    39→\tr := repository.GetJobRepository()\n    40→\n    41→\tfor pair := range strings.SplitSeq(flag, \",\") {\n    42→\t\tfiles := strings.Split(pair, \":\")\n    43→\t\tif len(files) != 2 {\n    44→\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > invalid import flag format\")\n    45→\t\t}\n    46→\n    47→\t\traw, err := os.ReadFile(files[0])\n    48→\t\tif err != nil {\n    49→\t\t\tcclog.Warn(\"Error while reading metadata file for import\")\n    50→\t\t\treturn err\n    51→\t\t}\n    52→\n    53→\t\tif config.Keys.Validate {\n    54→\t\t\tif err = schema.Validate(schema.Meta, bytes.NewReader(raw)); err != nil {\n    55→\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job meta: %v\", err)\n    56→\t\t\t}\n    57→\t\t}\n    58→\t\tdec := json.NewDecoder(bytes.NewReader(raw))\n    59→\t\tdec.DisallowUnknownFields()\n    60→\t\tjob := schema.Job{\n    61→\t\t\tShared:           \"none\",\n    62→\t\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n    63→\t\t}\n    64→\t\tif err = dec.Decode(&job); err != nil {\n    65→\t\t\tcclog.Warn(\"Error while decoding raw json metadata for import\")\n    66→\t\t\treturn err\n    67→\t\t}\n    68→\n    69→\t\traw, err = os.ReadFile(files[1])\n    70→\t\tif err != nil {\n    71→\t\t\tcclog.Warn(\"Error while reading jobdata file for import\")\n    72→\t\t\treturn err\n    73→\t\t}\n    74→\n    75→\t\tif config.Keys.Validate {\n    76→\t\t\tif err = schema.Validate(schema.Data, bytes.NewReader(raw)); err != nil {\n    77→\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job data: %v\", err)\n    78→\t\t\t}\n    79→\t\t}\n    80→\t\tdec = json.NewDecoder(bytes.NewReader(raw))\n    81→\t\tdec.DisallowUnknownFields()\n    82→\t\tjobData := schema.JobData{}\n    83→\t\tif err = dec.Decode(&jobData); err != nil {\n    84→\t\t\tcclog.Warn(\"Error while decoding raw json jobdata for import\")\n    85→\t\t\treturn err\n    86→\t\t}\n    87→\n    88→\t\tjob.MonitoringStatus = schema.MonitoringStatusArchivingSuccessful\n    89→\n    90→\t\tif err = enrichJobMetadata(&job); err != nil {\n    91→\t\t\tcclog.Errorf(\"Error enriching job metadata: %v\", err)\n    92→\t\t\treturn err\n    93→\t\t}\n    94→\n    95→\t\tif err = SanityChecks(&job); err != nil {\n    96→\t\t\tcclog.Warn(\"BaseJob SanityChecks failed\")\n    97→\t\t\treturn err\n    98→\t\t}\n    99→\n   100→\t\tif err = archive.GetHandle().ImportJob(&job, &jobData); err != nil {\n   101→\t\t\tcclog.Error(\"Error while importing job\")\n   102→\t\t\treturn err\n   103→\t\t}\n   104→\n   105→\t\tid, err := r.InsertJobDirect(&job)\n   106→\t\tif err != nil {\n   107→\t\t\tcclog.Warn(\"Error while job db insert\")\n   108→\t\t\treturn err\n   109→\t\t}\n   110→\n   111→\t\tfor _, tag := range job.Tags {\n   112→\t\t\tif err := r.ImportTag(id, tag.Type, tag.Name, tag.Scope); err != nil {\n   113→\t\t\t\tcclog.Error(\"Error while adding or creating tag on import\")\n   114→\t\t\t\treturn err\n   115→\t\t\t}\n   116→\t\t}\n   117→\n   118→\t\tcclog.Infof(\"successfully imported a new job (jobId: %d, cluster: %s, dbid: %d)\", job.JobID, job.Cluster, id)\n   119→\t}\n   120→\treturn nil\n   121→}\n   122→"}]},"uuid":"caa6d023-db8d-45b7-9f8b-bcecf261ee9b","timestamp":"2026-03-16T10:18:58.372Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"f82f0dfd-9389-4aef-aa4b-03c9867b17ea","timestamp":"2026-03-16T10:18:58.392Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"093a7028-5f48-4791-8f33-45b30221ba4e","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WGYVBFCWU9MaBcsSh2v6TC","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package repository\n     6→\n     7→import (\n     8→\t\"fmt\"\n     9→\n    10→\t\"github.com/jmoiron/sqlx\"\n    11→)\n    12→\n    13→// Transaction wraps a database transaction for job-related operations.\n    14→type Transaction struct {\n    15→\ttx *sqlx.Tx\n    16→}\n    17→\n    18→// TransactionInit begins a new transaction.\n    19→func (r *JobRepository) TransactionInit() (*Transaction, error) {\n    20→\ttx, err := r.DB.Beginx()\n    21→\tif err != nil {\n    22→\t\treturn nil, fmt.Errorf(\"beginning transaction: %w\", err)\n    23→\t}\n    24→\treturn &Transaction{tx: tx}, nil\n    25→}\n    26→\n    27→// Commit commits the transaction.\n    28→// After calling Commit, the transaction should not be used again.\n    29→func (t *Transaction) Commit() error {\n    30→\tif t.tx == nil {\n    31→\t\treturn fmt.Errorf(\"transaction already committed or rolled back\")\n    32→\t}\n    33→\terr := t.tx.Commit()\n    34→\tt.tx = nil // Mark as completed\n    35→\tif err != nil {\n    36→\t\treturn fmt.Errorf(\"committing transaction: %w\", err)\n    37→\t}\n    38→\treturn nil\n    39→}\n    40→\n    41→// Rollback rolls back the transaction.\n    42→// It's safe to call Rollback on an already committed or rolled back transaction.\n    43→func (t *Transaction) Rollback() error {\n    44→\tif t.tx == nil {\n    45→\t\treturn nil // Already committed/rolled back\n    46→\t}\n    47→\terr := t.tx.Rollback()\n    48→\tt.tx = nil // Mark as completed\n    49→\tif err != nil {\n    50→\t\treturn fmt.Errorf(\"rolling back transaction: %w\", err)\n    51→\t}\n    52→\treturn nil\n    53→}\n    54→\n    55→// TransactionEnd commits the transaction.\n    56→// Deprecated: Use Commit() instead.\n    57→func (r *JobRepository) TransactionEnd(t *Transaction) error {\n    58→\treturn t.Commit()\n    59→}\n    60→\n    61→// TransactionAddNamed executes a named query within the transaction.\n    62→func (r *JobRepository) TransactionAddNamed(\n    63→\tt *Transaction,\n    64→\tquery string,\n    65→\targs ...any,\n    66→) (int64, error) {\n    67→\tif t.tx == nil {\n    68→\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n    69→\t}\n    70→\n    71→\tres, err := t.tx.NamedExec(query, args)\n    72→\tif err != nil {\n    73→\t\treturn 0, fmt.Errorf(\"named exec: %w\", err)\n    74→\t}\n    75→\n    76→\tid, err := res.LastInsertId()\n    77→\tif err != nil {\n    78→\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n    79→\t}\n    80→\n    81→\treturn id, nil\n    82→}\n    83→\n    84→// TransactionAdd executes a query within the transaction.\n    85→func (r *JobRepository) TransactionAdd(t *Transaction, query string, args ...any) (int64, error) {\n    86→\tif t.tx == nil {\n    87→\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n    88→\t}\n    89→\n    90→\tres, err := t.tx.Exec(query, args...)\n    91→\tif err != nil {\n    92→\t\treturn 0, fmt.Errorf(\"exec: %w\", err)\n    93→\t}\n    94→\n    95→\tid, err := res.LastInsertId()\n    96→\tif err != nil {\n    97→\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n    98→\t}\n    99→\n   100→\treturn id, nil\n   101→}\n   102→"}]},"uuid":"12ed7ae8-b6d8-46d9-bea3-1bb398d27b5f","timestamp":"2026-03-16T10:18:58.648Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"49d9c229-1f03-4e86-9428-b566dcbfe494","timestamp":"2026-03-16T10:18:58.689Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"49d9c229-1f03-4e86-9428-b566dcbfe494","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ALrm85FgoGJsoVYUDaZvMd","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package api provides the REST API layer for ClusterCockpit.\n     7→// It handles HTTP requests for job management, user administration,\n     8→// cluster queries, node state updates, and metrics storage operations.\n     9→// The API supports both JWT token authentication and session-based authentication.\n    10→package api\n    11→\n    12→import (\n    13→\t\"encoding/json\"\n    14→\t\"fmt\"\n    15→\t\"io\"\n    16→\t\"net/http\"\n    17→\t\"os\"\n    18→\t\"path/filepath\"\n    19→\t\"strings\"\n    20→\t\"sync\"\n    21→\n    22→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n    23→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    24→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    25→\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n    26→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    27→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    28→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n    29→\t\"github.com/go-chi/chi/v5\"\n    30→)\n    31→\n    32→// @title                      ClusterCockpit REST API\n    33→// @version                    1.0.0\n    34→// @description                API for batch job control.\n    35→\n    36→// @contact.name               ClusterCockpit Project\n    37→// @contact.url                https://github.com/ClusterCockpit\n    38→// @contact.email              support@clustercockpit.org\n    39→\n    40→// @license.name               MIT License\n    41→// @license.url                https://opensource.org/licenses/MIT\n    42→\n    43→// @host                       localhost:8080\n    44→\n    45→// @securityDefinitions.apikey ApiKeyAuth\n    46→// @in                         header\n    47→// @name                       X-Auth-Token\n    48→\n    49→const (\n    50→\tnoticeFilePath  = \"./var/notice.txt\"\n    51→\tnoticeFilePerms = 0o644\n    52→\tmaxNoticeLength = 10000 // Maximum allowed notice content length in characters\n    53→)\n    54→\n    55→type RestAPI struct {\n    56→\tJobRepository   *repository.JobRepository\n    57→\tAuthentication  *auth.Authentication\n    58→\tMachineStateDir string\n    59→\t// RepositoryMutex protects job creation operations from race conditions\n    60→\t// when checking for duplicate jobs during startJob API calls.\n    61→\t// It prevents concurrent job starts with the same jobId/cluster/startTime\n    62→\t// from creating duplicate entries in the database.\n    63→\tRepositoryMutex sync.Mutex\n    64→}\n    65→\n    66→// New creates and initializes a new RestAPI instance with configured dependencies.\n    67→func New() *RestAPI {\n    68→\treturn &RestAPI{\n    69→\t\tJobRepository:   repository.GetJobRepository(),\n    70→\t\tMachineStateDir: config.Keys.MachineStateDir,\n    71→\t\tAuthentication:  auth.GetAuthInstance(),\n    72→\t}\n    73→}\n    74→\n    75→// MountAPIRoutes registers REST API endpoints for job and cluster management.\n    76→// These routes use JWT token authentication via the X-Auth-Token header.\n    77→func (api *RestAPI) MountAPIRoutes(r chi.Router) {\n    78→\t// REST API Uses TokenAuth\n    79→\t// User List\n    80→\tr.Get(\"/users/\", api.getUsers)\n    81→\t// Cluster List\n    82→\tr.Get(\"/clusters/\", api.getClusters)\n    83→\t// Slurm node state\n    84→\tr.Post(\"/nodestate/\", api.updateNodeStates)\n    85→\tr.Put(\"/nodestate/\", api.updateNodeStates)\n    86→\t// Job Handler\n    87→\tif config.Keys.APISubjects == nil {\n    88→\t\tcclog.Info(\"Enabling REST start/stop job API\")\n    89→\t\tr.Post(\"/jobs/start_job/\", api.startJob)\n    90→\t\tr.Put(\"/jobs/start_job/\", api.startJob)\n    91→\t\tr.Post(\"/jobs/stop_job/\", api.stopJobByRequest)\n    92→\t\tr.Put(\"/jobs/stop_job/\", api.stopJobByRequest)\n    93→\t}\n    94→\tr.Get(\"/jobs/\", api.getJobs)\n    95→\tr.Get(\"/jobs/used_nodes\", api.getUsedNodes)\n    96→\tr.Post(\"/jobs/tag_job/{id}\", api.tagJob)\n    97→\tr.Patch(\"/jobs/tag_job/{id}\", api.tagJob)\n    98→\tr.Delete(\"/jobs/tag_job/{id}\", api.removeTagJob)\n    99→\tr.Patch(\"/jobs/edit_meta/{id}\", api.editMeta)\n   100→\tr.Patch(\"/jobs/edit_meta/\", api.editMetaByRequest)\n   101→\tr.Get(\"/jobs/metrics/{id}\", api.getJobMetrics)\n   102→\tr.Delete(\"/jobs/delete_job/\", api.deleteJobByRequest)\n   103→\tr.Delete(\"/jobs/delete_job/{id}\", api.deleteJobByID)\n   104→\tr.Delete(\"/jobs/delete_job_before/{ts}\", api.deleteJobBefore)\n   105→\tr.Post(\"/jobs/{id}\", api.getJobByID)\n   106→\tr.Get(\"/jobs/{id}\", api.getCompleteJobByID)\n   107→\n   108→\tr.Delete(\"/tags/\", api.removeTags)\n   109→\n   110→\tif api.MachineStateDir != \"\" {\n   111→\t\tr.Get(\"/machine_state/{cluster}/{host}\", api.getMachineState)\n   112→\t\tr.Put(\"/machine_state/{cluster}/{host}\", api.putMachineState)\n   113→\t\tr.Post(\"/machine_state/{cluster}/{host}\", api.putMachineState)\n   114→\t}\n   115→}\n   116→\n   117→// MountUserAPIRoutes registers user-accessible REST API endpoints.\n   118→// These are limited endpoints for regular users with JWT token authentication.\n   119→func (api *RestAPI) MountUserAPIRoutes(r chi.Router) {\n   120→\t// REST API Uses TokenAuth\n   121→\tr.Get(\"/jobs/\", api.getJobs)\n   122→\tr.Post(\"/jobs/{id}\", api.getJobByID)\n   123→\tr.Get(\"/jobs/{id}\", api.getCompleteJobByID)\n   124→\tr.Get(\"/jobs/metrics/{id}\", api.getJobMetrics)\n   125→}\n   126→\n   127→// MountMetricStoreAPIRoutes registers metric storage API endpoints.\n   128→// These endpoints handle metric data ingestion and health checks with JWT token authentication.\n   129→func (api *RestAPI) MountMetricStoreAPIRoutes(r chi.Router) {\n   130→\t// REST API Uses TokenAuth\n   131→\tr.Post(\"/free\", freeMetrics)\n   132→\tr.Post(\"/write\", writeMetrics)\n   133→\tr.Get(\"/debug\", debugMetrics)\n   134→\tr.Post(\"/healthcheck\", api.updateNodeStates)\n   135→\t// Same endpoints but with trailing slash\n   136→\tr.Post(\"/free/\", freeMetrics)\n   137→\tr.Post(\"/write/\", writeMetrics)\n   138→\tr.Get(\"/debug/\", debugMetrics)\n   139→\tr.Post(\"/healthcheck/\", api.updateNodeStates)\n   140→}\n   141→\n   142→// MountConfigAPIRoutes registers configuration and user management endpoints.\n   143→// These routes use session-based authentication and require admin privileges.\n   144→// Routes use full paths (including /config prefix) to avoid conflicting with\n   145→// the /config page route when registered via Group instead of Route.\n   146→func (api *RestAPI) MountConfigAPIRoutes(r chi.Router) {\n   147→\t// Settings Frontend Uses SessionAuth\n   148→\tif api.Authentication != nil {\n   149→\t\tr.Get(\"/config/roles/\", api.getRoles)\n   150→\t\tr.Post(\"/config/users/\", api.createUser)\n   151→\t\tr.Put(\"/config/users/\", api.createUser)\n   152→\t\tr.Get(\"/config/users/\", api.getUsers)\n   153→\t\tr.Delete(\"/config/users/\", api.deleteUser)\n   154→\t\tr.Post(\"/config/user/{id}\", api.updateUser)\n   155→\t\tr.Post(\"/config/notice/\", api.editNotice)\n   156→\t\tr.Get(\"/config/taggers/\", api.getTaggers)\n   157→\t\tr.Post(\"/config/taggers/run/\", api.runTagger)\n   158→\t}\n   159→}\n   160→\n   161→// MountFrontendAPIRoutes registers frontend-specific API endpoints.\n   162→// These routes support JWT generation and user configuration updates with session authentication.\n   163→func (api *RestAPI) MountFrontendAPIRoutes(r chi.Router) {\n   164→\tr.Get(\"/logs/\", api.getJournalLog)\n   165→\t// Settings Frontend Uses SessionAuth\n   166→\tif api.Authentication != nil {\n   167→\t\tr.Get(\"/jwt/\", api.getJWT)\n   168→\t\tr.Post(\"/configuration/\", api.updateConfiguration)\n   169→\t}\n   170→}\n   171→\n   172→// ErrorResponse model\n   173→type ErrorResponse struct {\n   174→\t// Statustext of Errorcode\n   175→\tStatus string `json:\"status\"`\n   176→\tError  string `json:\"error\"` // Error Message\n   177→}\n   178→\n   179→// DefaultAPIResponse model\n   180→type DefaultAPIResponse struct {\n   181→\tMessage string `json:\"msg\"`\n   182→}\n   183→\n   184→// handleError writes a standardized JSON error response with the given status code.\n   185→// It logs the error at WARN level and ensures proper Content-Type headers are set.\n   186→func handleError(err error, statusCode int, rw http.ResponseWriter) {\n   187→\tcclog.Warnf(\"REST ERROR : %s\", err.Error())\n   188→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   189→\trw.WriteHeader(statusCode)\n   190→\tif err := json.NewEncoder(rw).Encode(ErrorResponse{\n   191→\t\tStatus: http.StatusText(statusCode),\n   192→\t\tError:  err.Error(),\n   193→\t}); err != nil {\n   194→\t\tcclog.Errorf(\"Failed to encode error response: %v\", err)\n   195→\t}\n   196→}\n   197→\n   198→// decode reads JSON from r into val with strict validation that rejects unknown fields.\n   199→func decode(r io.Reader, val any) error {\n   200→\tdec := json.NewDecoder(r)"}]},"uuid":"2e0a6cb3-1f28-46f1-87e6-a875039aa9d6","timestamp":"2026-03-16T10:18:58.656Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"3eddec24-5f8b-4434-a6a4-b70ad17f6140","timestamp":"2026-03-16T10:18:58.812Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"3eddec24-5f8b-4434-a6a4-b70ad17f6140","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:58.825Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01ALdPouxfK13qWn8xm2scWv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QmfGnBNV3YMSkcKJ6z4wjb","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":8581,"cache_read_input_tokens":32724,"cache_creation":{"ephemeral_5m_input_tokens":8581,"ephemeral_1h_input_tokens":0},"output_tokens":25,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7UaswaikLFwn5Yxwb","uuid":"23cdd152-f5cb-41ae-b643-7054ec852132"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"0bd3ee40-40ba-455c-9646-0d43ed7f8689","timestamp":"2026-03-16T10:18:58.825Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"0bd3ee40-40ba-455c-9646-0d43ed7f8689","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QmfGnBNV3YMSkcKJ6z4wjb","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package archiver provides asynchronous job archiving functionality for ClusterCockpit.\n     7→//\n     8→// The archiver runs a background worker goroutine that processes job archiving requests\n     9→// from a buffered channel. When jobs complete, their metric data is archived from the\n    10→// metric store to the configured archive backend (filesystem, S3, etc.).\n    11→//\n    12→// # Architecture\n    13→//\n    14→// The archiver uses a producer-consumer pattern:\n    15→//   - Producer: TriggerArchiving() sends jobs to archiveChannel\n    16→//   - Consumer: archivingWorker() processes jobs from the channel\n    17→//   - Coordination: sync.WaitGroup tracks pending archive operations\n    18→//\n    19→// # Lifecycle\n    20→//\n    21→//  1. Start(repo, ctx) - Initialize worker with context for cancellation\n    22→//  2. TriggerArchiving(job) - Queue job for archiving (called when job stops)\n    23→//  3. archivingWorker() - Background goroutine processes jobs\n    24→//  4. Shutdown(timeout) - Graceful shutdown with timeout\n    25→//\n    26→// # Graceful Shutdown\n    27→//\n    28→// The archiver supports graceful shutdown with configurable timeout:\n    29→//   - Closes channel to reject new jobs\n    30→//   - Waits for pending jobs to complete (up to timeout)\n    31→//   - Cancels context if timeout exceeded\n    32→//   - Ensures worker goroutine exits cleanly\n    33→//\n    34→// # Example Usage\n    35→//\n    36→//\t// Initialize archiver\n    37→//\tctx, cancel := context.WithCancel(context.Background())\n    38→//\tdefer cancel()\n    39→//\tarchiver.Start(jobRepository, ctx)\n    40→//\n    41→//\t// Trigger archiving when job completes\n    42→//\tarchiver.TriggerArchiving(job)\n    43→//\n    44→//\t// Graceful shutdown with 10 second timeout\n    45→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n    46→//\t    log.Printf(\"Archiver shutdown timeout: %v\", err)\n    47→//\t}\n    48→package archiver\n    49→\n    50→import (\n    51→\t\"context\"\n    52→\t\"fmt\"\n    53→\t\"sync\"\n    54→\t\"time\"\n    55→\n    56→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    57→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    58→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    59→\tsq \"github.com/Masterminds/squirrel\"\n    60→)\n    61→\n    62→var (\n    63→\tarchivePending sync.WaitGroup\n    64→\tarchiveChannel chan *schema.Job\n    65→\tjobRepo        *repository.JobRepository\n    66→\tshutdownCtx    context.Context\n    67→\tshutdownCancel context.CancelFunc\n    68→\tworkerDone     chan struct{}\n    69→)\n    70→\n    71→// Start initializes the archiver and starts the background worker goroutine.\n    72→//\n    73→// The archiver processes job archiving requests asynchronously via a buffered channel.\n    74→// Jobs are sent to the channel using TriggerArchiving() and processed by the worker.\n    75→//\n    76→// Parameters:\n    77→//   - r: JobRepository instance for database operations\n    78→//   - ctx: Context for cancellation (shutdown signal propagation)\n    79→//\n    80→// The worker goroutine will run until:\n    81→//   - ctx is cancelled (via parent shutdown)\n    82→//   - archiveChannel is closed (via Shutdown())\n    83→//\n    84→// Must be called before TriggerArchiving(). Safe to call only once.\n    85→func Start(r *repository.JobRepository, ctx context.Context) {\n    86→\tshutdownCtx, shutdownCancel = context.WithCancel(ctx)\n    87→\tarchiveChannel = make(chan *schema.Job, 128)\n    88→\tworkerDone = make(chan struct{})\n    89→\tjobRepo = r\n    90→\n    91→\tgo archivingWorker()\n    92→}\n    93→\n    94→// archivingWorker is the background goroutine that processes job archiving requests.\n    95→//\n    96→// The worker loop:\n    97→//  1. Blocks waiting for jobs on archiveChannel or shutdown signal\n    98→//  2. Fetches job metadata from repository\n    99→//  3. Archives job data to configured backend (calls ArchiveJob)\n   100→//  4. Updates job footprint and energy metrics in database\n   101→//  5. Marks job as successfully archived\n   102→//  6. Calls job stop hooks\n   103→//\n   104→// The worker exits when:\n   105→//   - shutdownCtx is cancelled (timeout during shutdown)\n   106→//   - archiveChannel is closed (normal shutdown)\n   107→//\n   108→// Errors during archiving are logged and the job is marked as failed,\n   109→// but the worker continues processing other jobs.\n   110→func archivingWorker() {\n   111→\tdefer close(workerDone)\n   112→\n   113→\tfor {\n   114→\t\tselect {\n   115→\t\tcase <-shutdownCtx.Done():\n   116→\t\t\tcclog.Info(\"Archive worker received shutdown signal\")\n   117→\t\t\treturn\n   118→\n   119→\t\tcase job, ok := <-archiveChannel:\n   120→\t\t\tif !ok {\n   121→\t\t\t\tcclog.Info(\"Archive channel closed, worker exiting\")\n   122→\t\t\t\treturn\n   123→\t\t\t}\n   124→\n   125→\t\t\tstart := time.Now()\n   126→\t\t\t// not using meta data, called to load JobMeta into Cache?\n   127→\t\t\t// will fail if job meta not in repository\n   128→\t\t\tif _, err := jobRepo.FetchMetadata(job); err != nil {\n   129→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at check metadata step: %s\", *job.ID, err.Error())\n   130→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n   131→\t\t\t\tarchivePending.Done()\n   132→\t\t\t\tcontinue\n   133→\t\t\t}\n   134→\n   135→\t\t\t// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend\n   136→\t\t\t// Use shutdown context to allow cancellation\n   137→\t\t\tjobMeta, err := ArchiveJob(job, shutdownCtx)\n   138→\t\t\tif err != nil {\n   139→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at archiving job step: %s\", *job.ID, err.Error())\n   140→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n   141→\t\t\t\tarchivePending.Done()\n   142→\t\t\t\tcontinue\n   143→\t\t\t}\n   144→\n   145→\t\t\tstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\n   146→\n   147→\t\t\tif stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {\n   148→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Footprint step: %s\", *job.ID, err.Error())\n   149→\t\t\t\tarchivePending.Done()\n   150→\t\t\t\tcontinue\n   151→\t\t\t}\n   152→\t\t\tif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta); err != nil {\n   153→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Energy step: %s\", *job.ID, err.Error())\n   154→\t\t\t\tarchivePending.Done()\n   155→\t\t\t\tcontinue\n   156→\t\t\t}\n   157→\t\t\t// Update the jobs database entry one last time:\n   158→\t\t\tstmt = jobRepo.MarkArchived(stmt, schema.MonitoringStatusArchivingSuccessful)\n   159→\t\t\tif err := jobRepo.Execute(stmt); err != nil {\n   160→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at db execute: %s\", *job.ID, err.Error())\n   161→\t\t\t\tarchivePending.Done()\n   162→\t\t\t\tcontinue\n   163→\t\t\t}\n   164→\t\t\tcclog.Debugf(\"archiving job %d took %s\", job.JobID, time.Since(start))\n   165→\t\t\tcclog.Infof(\"archiving job (dbid: %d) successful\", *job.ID)\n   166→\n   167→\t\t\trepository.CallJobStopHooks(job)\n   168→\t\t\tarchivePending.Done()\n   169→\t\t}\n   170→\t}\n   171→}\n   172→\n   173→// TriggerArchiving queues a job for asynchronous archiving.\n   174→//\n   175→// This function should be called when a job completes (stops) to archive its\n   176→// metric data from the metric store to the configured archive backend.\n   177→//\n   178→// The function:\n   179→//  1. Increments the pending job counter (WaitGroup)\n   180→//  2. Sends the job to the archiving channel (buffered, capacity 128)\n   181→//  3. Returns immediately (non-blocking unless channel is full)\n   182→//\n   183→// The actual archiving is performed asynchronously by the worker goroutine.\n   184→// Upon completion, the worker will decrement the pending counter.\n   185→//\n   186→// Panics if Start() has not been called first.\n   187→func TriggerArchiving(job *schema.Job) {\n   188→\tif archiveChannel == nil {\n   189→\t\tcclog.Fatal(\"Cannot archive without archiving channel. Did you Start the archiver?\")\n   190→\t}\n   191→\n   192→\tarchivePending.Add(1)\n   193→\tarchiveChannel <- job\n   194→}\n   195→\n   196→// Shutdown performs a graceful shutdown of the archiver with a configurable timeout.\n   197→//\n   198→// The shutdown process:\n   199→//  1. Closes archiveChannel - no new jobs will be accepted\n   200→//  2. Waits for pending jobs to complete (up to timeout duration)\n   201→//  3. If timeout is exceeded:\n   202→//     - Cancels shutdownCtx to interrupt ongoing ArchiveJob operations\n   203→//     - Returns error indicating timeout\n   204→//  4. Waits for worker goroutine to exit cleanly\n   205→//\n   206→// Parameters:\n   207→//   - timeout: Maximum duration to wait for pending jobs to complete\n   208→//     (recommended: 10-30 seconds for production)\n   209→//\n   210→// Returns:\n   211→//   - nil if all jobs completed within timeout\n   212→//   - error if timeout was exceeded (some jobs may not have been archived)\n   213→//\n   214→// Jobs that don't complete within the timeout will be marked as failed.\n   215→// The function always ensures the worker goroutine exits before returning.\n   216→//\n   217→// Example:\n   218→//\n   219→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n   220→//\t    log.Printf(\"Some jobs did not complete: %v\", err)\n   221→//\t}\n   222→func Shutdown(timeout time.Duration) error {\n   223→\tcclog.Info(\"Initiating archiver shutdown...\")\n   224→\n   225→\t// Close channel to signal no more jobs will be accepted\n   226→\tclose(archiveChannel)\n   227→\n   228→\t// Create a channel to signal when all jobs are done\n   229→\tdone := make(chan struct{})\n   230→\tgo func() {\n   231→\t\tarchivePending.Wait()\n   232→\t\tclose(done)\n   233→\t}()\n   234→\n   235→\t// Wait for jobs to complete or timeout\n   236→\tselect {\n   237→\tcase <-done:\n   238→\t\tcclog.Info(\"All archive jobs completed successfully\")\n   239→\t\t// Wait for worker to exit\n   240→\t\t<-workerDone\n   241→\t\treturn nil\n   242→\tcase <-time.After(timeout):\n   243→\t\tcclog.Warn(\"Archiver shutdown timeout exceeded, cancelling remaining operations\")\n   244→\t\t// Cancel any ongoing operations\n   245→\t\tshutdownCancel()\n   246→\t\t// Wait for worker to exit\n   247→\t\t<-workerDone\n   248→\t\treturn fmt.Errorf(\"archiver shutdown timeout after %v\", timeout)\n   249→\t}\n   250→}\n   251→"}]},"uuid":"8c03a830-9782-477c-ac56-dda860e00768","timestamp":"2026-03-16T10:18:58.827Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"570e734f-a5ca-413e-af11-088950cbbb65","timestamp":"2026-03-16T10:18:58.838Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"fe4f26ca-73ba-4d02-af6c-c25c65a02064","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TvXDoyQpRVirrkiiNAU6vk","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package metricstore provides an efficient in-memory time-series metric storage system\n     7→// with support for hierarchical data organization, checkpointing, and archiving.\n     8→//\n     9→// The package organizes metrics in a tree structure (cluster → host → component) and\n    10→// provides concurrent read/write access to metric data with configurable aggregation strategies.\n    11→// Background goroutines handle periodic checkpointing (JSON or Avro format), archiving old data,\n    12→// and enforcing retention policies.\n    13→//\n    14→// Key features:\n    15→//   - In-memory metric storage with configurable retention\n    16→//   - Hierarchical data organization (selectors)\n    17→//   - Concurrent checkpoint/archive workers\n    18→//   - Support for sum and average aggregation\n    19→//   - NATS integration for metric ingestion\n    20→package metricstore\n    21→\n    22→import (\n    23→\t\"bytes\"\n    24→\t\"context\"\n    25→\t\"encoding/json\"\n    26→\t\"errors\"\n    27→\t\"fmt\"\n    28→\t\"runtime\"\n    29→\t\"runtime/debug\"\n    30→\t\"slices\"\n    31→\t\"sync\"\n    32→\t\"time\"\n    33→\n    34→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    35→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    36→\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n    37→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    38→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n    39→)\n    40→\n    41→// GlobalState holds the global state for the metric store with thread-safe access.\n    42→type GlobalState struct {\n    43→\tmu                sync.RWMutex\n    44→\tlastRetentionTime int64\n    45→\tselectorsExcluded bool\n    46→}\n    47→\n    48→var (\n    49→\tsingleton  sync.Once\n    50→\tmsInstance *MemoryStore\n    51→\t// shutdownFunc stores the context cancellation function created in Init\n    52→\t// and is called during Shutdown to cancel all background goroutines\n    53→\tshutdownFunc   context.CancelFunc\n    54→\tshutdownFuncMu sync.Mutex // Protects shutdownFunc from concurrent access\n    55→\t// Create a global instance\n    56→\tstate = &GlobalState{}\n    57→)\n    58→\n    59→// NodeProvider provides information about nodes currently in use by running jobs.\n    60→//\n    61→// This interface allows metricstore to query job information without directly\n    62→// depending on the repository package, breaking the import cycle.\n    63→//\n    64→// Implementations should return nodes that are actively processing jobs started\n    65→// before the given timestamp. These nodes will be excluded from retention-based\n    66→// garbage collection to prevent data loss for jobs that are still running or\n    67→// recently completed.\n    68→type NodeProvider interface {\n    69→\t// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n    70→\t// that are currently in use by jobs that started before the given timestamp.\n    71→\t//\n    72→\t// Parameters:\n    73→\t//   - ts: Unix timestamp threshold - returns nodes with jobs started before this time\n    74→\t//\n    75→\t// Returns:\n    76→\t//   - Map of cluster names to lists of node hostnames that should be excluded from garbage collection\n    77→\t//   - Error if the query fails\n    78→\tGetUsedNodes(ts int64) (map[string][]string, error)\n    79→}\n    80→\n    81→// Metric represents a single metric data point to be written to the store.\n    82→type Metric struct {\n    83→\tName  string\n    84→\tValue schema.Float\n    85→\t// MetricConfig contains frequency and aggregation settings for this metric.\n    86→\t// If Frequency is 0, configuration will be looked up from MemoryStore.Metrics during Write().\n    87→\tMetricConfig MetricConfig\n    88→}\n    89→\n    90→// MemoryStore is the main in-memory time-series metric storage implementation.\n    91→//\n    92→// It organizes metrics in a hierarchical tree structure where each level represents\n    93→// a component of the system hierarchy (e.g., cluster → host → CPU). Each level can\n    94→// store multiple metrics as time-series buffers.\n    95→//\n    96→// The store is initialized as a singleton via InitMetrics() and accessed via GetMemoryStore().\n    97→// All public methods are safe for concurrent use.\n    98→type MemoryStore struct {\n    99→\tMetrics      map[string]MetricConfig\n   100→\troot         Level\n   101→\tnodeProvider NodeProvider\n   102→}\n   103→\n   104→// Init initializes the metric store from configuration and starts background workers.\n   105→//\n   106→// This function must be called exactly once before any other metricstore operations.\n   107→// It performs the following initialization steps:\n   108→//  1. Validates and decodes the metric store configuration\n   109→//  2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n   110→//  3. Loads metric configurations from all registered clusters\n   111→//  4. Restores checkpoints within the retention window\n   112→//  5. Starts background workers for retention, checkpointing, archiving, and monitoring\n   113→//  6. Optionally subscribes to NATS for real-time metric ingestion\n   114→//\n   115→// Parameters:\n   116→//   - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n   117→//   - wg: WaitGroup that will be incremented for each background goroutine started\n   118→//\n   119→// The function will call cclog.Fatal on critical errors during initialization.\n   120→// Use Shutdown() to cleanly stop all background workers started by Init().\n   121→//\n   122→// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n   123→// receiving termination signals to ensure checkpoint data is persisted.\n   124→func Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n   125→\tstartupTime := time.Now()\n   126→\n   127→\tif rawConfig != nil {\n   128→\t\tconfig.Validate(configSchema, rawConfig)\n   129→\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n   130→\t\tdec.DisallowUnknownFields()\n   131→\t\tif err := dec.Decode(&Keys); err != nil {\n   132→\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n   133→\t\t}\n   134→\t}\n   135→\n   136→\t// Set NumWorkers from config or use default\n   137→\tif Keys.NumWorkers <= 0 {\n   138→\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n   139→\t}\n   140→\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n   141→\n   142→\t// Pass the config.MetricStoreKeys\n   143→\tInitMetrics(metrics)\n   144→\n   145→\tms := GetMemoryStore()\n   146→\n   147→\td, err := time.ParseDuration(Keys.RetentionInMemory)\n   148→\tif err != nil {\n   149→\t\tcclog.Fatal(err)\n   150→\t}\n   151→\n   152→\trestoreFrom := startupTime.Add(-d)\n   153→\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n   154→\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n   155→\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n   156→\tif err != nil {\n   157→\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n   158→\t} else {\n   159→\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n   160→\t}\n   161→\n   162→\t// Try to use less memory by forcing a GC run here and then\n   163→\t// lowering the target percentage. The default of 100 means\n   164→\t// that only once the ratio of new allocations execeds the\n   165→\t// previously active heap, a GC is triggered.\n   166→\t// Forcing a GC here will set the \"previously active heap\"\n   167→\t// to a minumum.\n   168→\t// runtime.GC()\n   169→\n   170→\tctx, shutdown := context.WithCancel(context.Background())\n   171→\n   172→\tRetention(wg, ctx)\n   173→\tCheckpointing(wg, ctx)\n   174→\tCleanUp(wg, ctx)\n   175→\tWALStaging(wg, ctx)\n   176→\tMemoryUsageTracker(wg, ctx)\n   177→\n   178→\t// Note: Signal handling has been removed from this function.\n   179→\t// The caller is responsible for handling shutdown signals and calling\n   180→\t// the shutdown() function when appropriate.\n   181→\t// Store the shutdown function for later use by Shutdown()\n   182→\tshutdownFuncMu.Lock()\n   183→\tshutdownFunc = shutdown\n   184→\tshutdownFuncMu.Unlock()\n   185→\n   186→\tif Keys.Subscriptions != nil {\n   187→\t\terr = ReceiveNats(ms, 1, ctx)\n   188→\t\tif err != nil {\n   189→\t\t\tcclog.Fatal(err)\n   190→\t\t}\n   191→\t}\n   192→}\n   193→\n   194→// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n   195→//\n   196→// This function must be called before GetMemoryStore() and can only be called once due to\n   197→// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n   198→//\n   199→// Parameters:\n   200→//   - metrics: Map of metric names to their configurations (frequency and aggregation strategy)"}]},"uuid":"2950fd72-b369-478b-b67b-b5ac1cb2162f","timestamp":"2026-03-16T10:19:00.704Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"f2783f6a-6486-4b5f-9e19-a1986834a2cd","timestamp":"2026-03-16T10:19:01.368Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"7f802976-61d9-4ba6-9843-51f90faf2ec0","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LNZxs59YvZtpxmBzuRJnut","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package api provides the REST API layer for ClusterCockpit.\n     7→// It handles HTTP requests for job management, user administration,\n     8→// cluster queries, node state updates, and metrics storage operations.\n     9→// The API supports both JWT token authentication and session-based authentication.\n    10→package api\n    11→\n    12→import (\n    13→\t\"encoding/json\"\n    14→\t\"fmt\"\n    15→\t\"io\"\n    16→\t\"net/http\"\n    17→\t\"os\"\n    18→\t\"path/filepath\"\n    19→\t\"strings\"\n    20→\t\"sync\"\n    21→\n    22→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n    23→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    24→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    25→\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n    26→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    27→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    28→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n    29→\t\"github.com/go-chi/chi/v5\"\n    30→)\n    31→\n    32→// @title                      ClusterCockpit REST API\n    33→// @version                    1.0.0\n    34→// @description                API for batch job control.\n    35→\n    36→// @contact.name               ClusterCockpit Project\n    37→// @contact.url                https://github.com/ClusterCockpit\n    38→// @contact.email              support@clustercockpit.org\n    39→\n    40→// @license.name               MIT License\n    41→// @license.url                https://opensource.org/licenses/MIT\n    42→\n    43→// @host                       localhost:8080\n    44→\n    45→// @securityDefinitions.apikey ApiKeyAuth\n    46→// @in                         header\n    47→// @name                       X-Auth-Token\n    48→\n    49→const (\n    50→\tnoticeFilePath  = \"./var/notice.txt\"\n    51→\tnoticeFilePerms = 0o644\n    52→\tmaxNoticeLength = 10000 // Maximum allowed notice content length in characters\n    53→)\n    54→\n    55→type RestAPI struct {\n    56→\tJobRepository   *repository.JobRepository\n    57→\tAuthentication  *auth.Authentication\n    58→\tMachineStateDir string\n    59→\t// RepositoryMutex protects job creation operations from race conditions\n    60→\t// when checking for duplicate jobs during startJob API calls.\n    61→\t// It prevents concurrent job starts with the same jobId/cluster/startTime\n    62→\t// from creating duplicate entries in the database.\n    63→\tRepositoryMutex sync.Mutex\n    64→}\n    65→\n    66→// New creates and initializes a new RestAPI instance with configured dependencies.\n    67→func New() *RestAPI {\n    68→\treturn &RestAPI{\n    69→\t\tJobRepository:   repository.GetJobRepository(),\n    70→\t\tMachineStateDir: config.Keys.MachineStateDir,\n    71→\t\tAuthentication:  auth.GetAuthInstance(),\n    72→\t}\n    73→}\n    74→\n    75→// MountAPIRoutes registers REST API endpoints for job and cluster management.\n    76→// These routes use JWT token authentication via the X-Auth-Token header.\n    77→func (api *RestAPI) MountAPIRoutes(r chi.Router) {\n    78→\t// REST API Uses TokenAuth\n    79→\t// User List\n    80→\tr.Get(\"/users/\", api.getUsers)\n    81→\t// Cluster List\n    82→\tr.Get(\"/clusters/\", api.getClusters)\n    83→\t// Slurm node state\n    84→\tr.Post(\"/nodestate/\", api.updateNodeStates)\n    85→\tr.Put(\"/nodestate/\", api.updateNodeStates)\n    86→\t// Job Handler\n    87→\tif config.Keys.APISubjects == nil {\n    88→\t\tcclog.Info(\"Enabling REST start/stop job API\")\n    89→\t\tr.Post(\"/jobs/start_job/\", api.startJob)\n    90→\t\tr.Put(\"/jobs/start_job/\", api.startJob)\n    91→\t\tr.Post(\"/jobs/stop_job/\", api.stopJobByRequest)\n    92→\t\tr.Put(\"/jobs/stop_job/\", api.stopJobByRequest)\n    93→\t}\n    94→\tr.Get(\"/jobs/\", api.getJobs)\n    95→\tr.Get(\"/jobs/used_nodes\", api.getUsedNodes)\n    96→\tr.Post(\"/jobs/tag_job/{id}\", api.tagJob)\n    97→\tr.Patch(\"/jobs/tag_job/{id}\", api.tagJob)\n    98→\tr.Delete(\"/jobs/tag_job/{id}\", api.removeTagJob)\n    99→\tr.Patch(\"/jobs/edit_meta/{id}\", api.editMeta)\n   100→\tr.Patch(\"/jobs/edit_meta/\", api.editMetaByRequest)\n   101→\tr.Get(\"/jobs/metrics/{id}\", api.getJobMetrics)\n   102→\tr.Delete(\"/jobs/delete_job/\", api.deleteJobByRequest)\n   103→\tr.Delete(\"/jobs/delete_job/{id}\", api.deleteJobByID)\n   104→\tr.Delete(\"/jobs/delete_job_before/{ts}\", api.deleteJobBefore)\n   105→\tr.Post(\"/jobs/{id}\", api.getJobByID)\n   106→\tr.Get(\"/jobs/{id}\", api.getCompleteJobByID)\n   107→\n   108→\tr.Delete(\"/tags/\", api.removeTags)\n   109→\n   110→\tif api.MachineStateDir != \"\" {\n   111→\t\tr.Get(\"/machine_state/{cluster}/{host}\", api.getMachineState)\n   112→\t\tr.Put(\"/machine_state/{cluster}/{host}\", api.putMachineState)\n   113→\t\tr.Post(\"/machine_state/{cluster}/{host}\", api.putMachineState)\n   114→\t}\n   115→}\n   116→\n   117→// MountUserAPIRoutes registers user-accessible REST API endpoints.\n   118→// These are limited endpoints for regular users with JWT token authentication.\n   119→func (api *RestAPI) MountUserAPIRoutes(r chi.Router) {\n   120→\t// REST API Uses TokenAuth\n   121→\tr.Get(\"/jobs/\", api.getJobs)\n   122→\tr.Post(\"/jobs/{id}\", api.getJobByID)\n   123→\tr.Get(\"/jobs/{id}\", api.getCompleteJobByID)\n   124→\tr.Get(\"/jobs/metrics/{id}\", api.getJobMetrics)\n   125→}\n   126→\n   127→// MountMetricStoreAPIRoutes registers metric storage API endpoints.\n   128→// These endpoints handle metric data ingestion and health checks with JWT token authentication.\n   129→func (api *RestAPI) MountMetricStoreAPIRoutes(r chi.Router) {\n   130→\t// REST API Uses TokenAuth\n   131→\tr.Post(\"/free\", freeMetrics)\n   132→\tr.Post(\"/write\", writeMetrics)\n   133→\tr.Get(\"/debug\", debugMetrics)\n   134→\tr.Post(\"/healthcheck\", api.updateNodeStates)\n   135→\t// Same endpoints but with trailing slash\n   136→\tr.Post(\"/free/\", freeMetrics)\n   137→\tr.Post(\"/write/\", writeMetrics)\n   138→\tr.Get(\"/debug/\", debugMetrics)\n   139→\tr.Post(\"/healthcheck/\", api.updateNodeStates)\n   140→}\n   141→\n   142→// MountConfigAPIRoutes registers configuration and user management endpoints.\n   143→// These routes use session-based authentication and require admin privileges.\n   144→// Routes use full paths (including /config prefix) to avoid conflicting with\n   145→// the /config page route when registered via Group instead of Route.\n   146→func (api *RestAPI) MountConfigAPIRoutes(r chi.Router) {\n   147→\t// Settings Frontend Uses SessionAuth\n   148→\tif api.Authentication != nil {\n   149→\t\tr.Get(\"/config/roles/\", api.getRoles)\n   150→\t\tr.Post(\"/config/users/\", 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+{"parentUuid":"0ac4840d-8ce1-4864-ba76-57f99504b7ef","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LsPHTrPSnt2Estx2sBx8ai","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"encoding/json\"\n    10→\t\"fmt\"\n    11→\n    12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    14→\tsq \"github.com/Masterminds/squirrel\"\n    15→)\n    16→\n    17→const NamedJobCacheInsert string = `INSERT INTO job_cache (\n    18→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n    19→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n    20→) VALUES (\n    21→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n    22→  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n    23→);`\n    24→\n    25→const NamedJobInsert string = `INSERT INTO job (\n    26→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n    27→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n    28→) VALUES (\n    29→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n    30→  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n    31→);`\n    32→\n    33→// InsertJobDirect inserts a job directly into the job table (not job_cache).\n    34→// Use this when the returned ID will be used for operations on the job table\n    35→// (e.g., adding tags), or for imported jobs that are already completed.\n    36→func (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n    37→\tr.Mutex.Lock()\n    38→\tdefer r.Mutex.Unlock()\n    39→\n    40→\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n    41→\tif err != nil {\n    42→\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n    43→\t\treturn 0, err\n    44→\t}\n    45→\tid, err := res.LastInsertId()\n    46→\tif err != nil {\n    47→\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n    48→\t\treturn 0, err\n    49→\t}\n    50→\n    51→\treturn id, nil\n    52→}\n    53→\n    54→func (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n    55→\tr.Mutex.Lock()\n    56→\tdefer r.Mutex.Unlock()\n    57→\n    58→\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n    59→\tif err != nil {\n    60→\t\tcclog.Warn(\"Error while NamedJobInsert\")\n    61→\t\treturn 0, err\n    62→\t}\n    63→\tid, err := res.LastInsertId()\n    64→\tif err != nil {\n    65→\t\tcclog.Warn(\"Error while getting last insert ID\")\n    66→\t\treturn 0, err\n    67→\t}\n    68→\n    69→\treturn id, nil\n    70→}\n    71→\n    72→func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n    73→\tr.Mutex.Lock()\n    74→\tdefer r.Mutex.Unlock()\n    75→\n    76→\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n    77→\n    78→\trows, err := query.RunWith(r.stmtCache).Query()\n    79→\tif err != nil {\n    80→\t\tcclog.Errorf(\"Error while running query %v\", err)\n    81→\t\treturn nil, err\n    82→\t}\n    83→\tdefer rows.Close()\n    84→\n    85→\tjobs := make([]*schema.Job, 0, 50)\n    86→\tfor rows.Next() {\n    87→\t\tjob, err := scanJob(rows)\n    88→\t\tif err != nil {\n    89→\t\t\tcclog.Warn(\"Error while scanning rows\")\n    90→\t\t\treturn nil, err\n    91→\t\t}\n    92→\t\tjobs = append(jobs, job)\n    93→\t}\n    94→\n    95→\t// Transfer cached jobs to main table and clear cache in a single transaction.\n    96→\ttx, err := r.DB.Beginx()\n    97→\tif err != nil {\n    98→\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n    99→\t\treturn nil, err\n   100→\t}\n   101→\tdefer tx.Rollback()\n   102→\n   103→\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n   104→\t_, err = tx.Exec(\n   105→\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n   106→\tif err != nil {\n   107→\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n   108→\t\treturn nil, err\n   109→\t}\n   110→\n   111→\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n   112→\tif err != nil {\n   113→\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n   114→\t\treturn nil, err\n   115→\t}\n   116→\n   117→\tif err := tx.Commit(); err != nil {\n   118→\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n   119→\t\treturn nil, err\n   120→\t}\n   121→\n   122→\t// Resolve correct job.id from the job table. The IDs read from job_cache\n   123→\t// are from a different auto-increment sequence and must not be used to\n   124→\t// query the job table.\n   125→\tfor _, job := range jobs {\n   126→\t\tvar newID int64\n   127→\t\tif err := sq.Select(\"job.id\").From(\"job\").\n   128→\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n   129→\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n   130→\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n   131→\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n   132→\t\t\t\tjob.JobID, job.Cluster, err)\n   133→\t\t\tcontinue\n   134→\t\t}\n   135→\t\tjob.ID = &newID\n   136→\t}\n   137→\n   138→\treturn jobs, nil\n   139→}\n   140→\n   141→// TransferCachedJobToMain moves a job from job_cache to the job table.\n   142→// Caller must hold r.Mutex. Returns the new job table ID.\n   143→func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n   144→\tres, err := r.DB.Exec(\n   145→\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n   146→\t\tcacheID)\n   147→\tif err != nil {\n   148→\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n   149→\t}\n   150→\n   151→\tnewID, err := res.LastInsertId()\n   152→\tif err != nil {\n   153→\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n   154→\t}\n   155→\n   156→\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n   157→\tif err != nil {\n   158→\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n   159→\t}\n   160→\n   161→\treturn newID, nil\n   162→}\n   163→\n   164→// Start inserts a new job in the table, returning the unique job ID.\n   165→// Statistics are not transfered!\n   166→func (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n   167→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   168→\tif err != nil {\n   169→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n   170→\t}\n   171→\n   172→\tjob.RawResources, err = json.Marshal(job.Resources)\n   173→\tif err != nil {\n   174→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n   175→\t}\n   176→\n   177→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n   178→\tif err != nil {\n   179→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n   180→\t}\n   181→\n   182→\treturn r.InsertJob(job)\n   183→}\n   184→\n   185→// StartDirect inserts a new job directly into the job table (not job_cache).\n   186→// Use this when the returned ID will immediately be used for job table\n   187→// operations such as adding tags.\n   188→func (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n   189→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   190→\tif err != nil {\n   191→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n   192→\t}\n   193→\n   194→\tjob.RawResources, err = json.Marshal(job.Resources)\n   195→\tif err != nil {\n   196→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n   197→\t}\n   198→\n   199→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n   200→\tif err != nil {\n   201→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n   202→\t}\n   203→\n   204→\treturn r.InsertJobDirect(job)\n   205→}\n   206→\n   207→// Stop updates the job with the database id jobId using the provided arguments.\n   208→func (r *JobRepository) Stop(\n   209→\tjobID int64,\n   210→\tduration int32,\n   211→\tstate schema.JobState,\n   212→\tmonitoringStatus int32,\n   213→) (err error) {\n   214→\t// Invalidate cache entries as job state is changing\n   215→\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n   216→\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n   217→\n   218→\tstmt := sq.Update(\"job\").\n   219→\t\tSet(\"job_state\", state).\n   220→\t\tSet(\"duration\", duration).\n   221→\t\tSet(\"monitoring_status\", monitoringStatus).\n   222→\t\tWhere(\"job.id = ?\", jobID)\n   223→\n   224→\t_, err = stmt.RunWith(r.stmtCache).Exec()\n   225→\treturn err\n   226→}\n   227→"}]},"uuid":"68d5eef7-19ca-4774-957f-4b6683917bf2","timestamp":"2026-03-16T10:19:02.479Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"1aab2bb2-b3e6-429f-99e9-6dc7e02162dc","timestamp":"2026-03-16T10:19:02.733Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"096be93c-f01e-4116-85f9-ba78b99ab30f","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Q56Kd1KsrdTWnGABXTQUbm","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"sync\"\n    10→\n    11→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    12→)\n    13→\n    14→// JobHook interface allows external components to hook into job lifecycle events.\n    15→// Implementations can perform actions when jobs start or stop, such as tagging,\n    16→// logging, notifications, or triggering external workflows.\n    17→//\n    18→// Example implementation:\n    19→//\n    20→//\ttype MyJobTagger struct{}\n    21→//\n    22→//\tfunc (t *MyJobTagger) JobStartCallback(job *schema.Job) {\n    23→//\t    if job.NumNodes > 100 {\n    24→//\t        // Tag large jobs automatically\n    25→//\t    }\n    26→//\t}\n    27→//\n    28→//\tfunc (t *MyJobTagger) JobStopCallback(job *schema.Job) {\n    29→//\t    if job.State == schema.JobStateFailed {\n    30→//\t        // Log or alert on failed jobs\n    31→//\t    }\n    32→//\t}\n    33→//\n    34→// Register hooks during application initialization:\n    35→//\n    36→//\trepository.RegisterJobHook(&MyJobTagger{})\n    37→type JobHook interface {\n    38→\t// JobStartCallback is invoked when one or more jobs start.\n    39→\t// This is called synchronously, so implementations should be fast.\n    40→\tJobStartCallback(job *schema.Job)\n    41→\n    42→\t// JobStopCallback is invoked when a job completes.\n    43→\t// This is called synchronously, so implementations should be fast.\n    44→\tJobStopCallback(job *schema.Job)\n    45→}\n    46→\n    47→var (\n    48→\tinitOnce sync.Once\n    49→\thooks    []JobHook\n    50→)\n    51→\n    52→// RegisterJobHook registers a JobHook to receive job lifecycle callbacks.\n    53→// Multiple hooks can be registered and will be called in registration order.\n    54→// This function is safe to call multiple times and is typically called during\n    55→// application initialization.\n    56→//\n    57→// Nil hooks are silently ignored to simplify conditional registration.\n    58→func RegisterJobHook(hook JobHook) {\n    59→\tinitOnce.Do(func() {\n    60→\t\thooks = make([]JobHook, 0)\n    61→\t})\n    62→\n    63→\tif hook != nil {\n    64→\t\thooks = append(hooks, hook)\n    65→\t}\n    66→}\n    67→\n    68→// CallJobStartHooks invokes all registered JobHook.JobStartCallback methods\n    69→// for each job in the provided slice. This is called internally by the repository\n    70→// when jobs are started (e.g., via StartJob or batch job imports).\n    71→//\n    72→// Hooks are called synchronously in registration order. If a hook panics,\n    73→// the panic will propagate to the caller.\n    74→func CallJobStartHooks(jobs []*schema.Job) {\n    75→\tif hooks == nil {\n    76→\t\treturn\n    77→\t}\n    78→\n    79→\tfor _, hook := range hooks {\n    80→\t\tif hook != nil {\n    81→\t\t\tfor _, job := range jobs {\n    82→\t\t\t\thook.JobStartCallback(job)\n    83→\t\t\t}\n    84→\t\t}\n    85→\t}\n    86→}\n    87→\n    88→// CallJobStopHooks invokes all registered JobHook.JobStopCallback methods\n    89→// for the provided job. This is called internally by the repository when a\n    90→// job completes (e.g., via StopJob or job state updates).\n    91→//\n    92→// Hooks are called synchronously in registration order. If a hook panics,\n    93→// the panic will propagate to the caller.\n    94→func CallJobStopHooks(job *schema.Job) {\n    95→\tif hooks == nil {\n    96→\t\treturn\n    97→\t}\n    98→\n    99→\tfor _, hook := range hooks {\n   100→\t\tif hook != nil {\n   101→\t\t\thook.JobStopCallback(job)\n   102→\t\t}\n   103→\t}\n   104→}\n   105→"}]},"uuid":"05632aaf-09b7-49dc-9f0d-bef792d1b4ab","timestamp":"2026-03-16T10:19:02.791Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"a36d5096-d21b-47f0-8b87-06c60ecd5fdd","timestamp":"2026-03-16T10:19:02.805Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"a36d5096-d21b-47f0-8b87-06c60ecd5fdd","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:02.942Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01A5fp48JLodDTqUvyZLsqG1","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Bi1LCZzLc9aRRiSvZTFx19","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/config.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":887,"cache_read_input_tokens":94870,"cache_creation":{"ephemeral_5m_input_tokens":887,"ephemeral_1h_input_tokens":0},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7iqdEG6srZ9LfpkQV","uuid":"10ace628-ff89-413e-9f33-5f307676cb9d"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"06874574-1671-41e1-b217-b43ab9f97416","timestamp":"2026-03-16T10:19:02.943Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"06874574-1671-41e1-b217-b43ab9f97416","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Bi1LCZzLc9aRRiSvZTFx19","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import \"time\"\n     9→\n    10→// RepositoryConfig holds configuration for repository operations.\n    11→// All fields have sensible defaults, so this configuration is optional.\n    12→type RepositoryConfig struct {\n    13→\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n    14→\t// Default: 1MB (1024 * 1024 bytes)\n    15→\tCacheSize int\n    16→\n    17→\t// MaxOpenConnections is the maximum number of open database connections.\n    18→\t// Default: 4\n    19→\tMaxOpenConnections int\n    20→\n    21→\t// MaxIdleConnections is the maximum number of idle database connections.\n    22→\t// Default: 4\n    23→\tMaxIdleConnections int\n    24→\n    25→\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n    26→\t// Default: 1 hour\n    27→\tConnectionMaxLifetime time.Duration\n    28→\n    29→\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n    30→\t// Default: 10 minutes\n    31→\tConnectionMaxIdleTime time.Duration\n    32→\n    33→\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n    34→\t// considered in \"running jobs\" queries. This filters out very short jobs.\n    35→\t// Default: 600 seconds (10 minutes)\n    36→\tMinRunningJobDuration int\n    37→\n    38→\t// DbCacheSizeMB is the SQLite page cache size per connection in MB.\n    39→\t// Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n    40→\t// and DbCacheSizeMB=2048, total page cache is up to 8GB.\n    41→\t// Default: 2048 (2GB)\n    42→\tDbCacheSizeMB int\n    43→\n    44→\t// DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n    45→\t// SQLite will try to release cache pages to stay under this limit.\n    46→\t// It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n    47→\t// Default: 16384 (16GB)\n    48→\tDbSoftHeapLimitMB int\n    49→\n    50→\t// BusyTimeoutMs is the SQLite busy_timeout in milliseconds.\n    51→\t// When a write is blocked by another writer, SQLite retries internally\n    52→\t// using a backoff mechanism for up to this duration before returning SQLITE_BUSY.\n    53→\t// Default: 60000 (60 seconds)\n    54→\tBusyTimeoutMs int\n    55→}\n    56→\n    57→// DefaultConfig returns the default repository configuration.\n    58→// These values are optimized for typical deployments.\n    59→func DefaultConfig() *RepositoryConfig {\n    60→\treturn &RepositoryConfig{\n    61→\t\tCacheSize:             1 * 1024 * 1024, // 1MB\n    62→\t\tMaxOpenConnections:    4,\n    63→\t\tMaxIdleConnections:    4,\n    64→\t\tConnectionMaxLifetime: time.Hour,\n    65→\t\tConnectionMaxIdleTime: 10 * time.Minute,\n    66→\t\tMinRunningJobDuration: 600, // 10 minutes\n    67→\t\tDbCacheSizeMB:        2048,  // 2GB per connection\n    68→\t\tDbSoftHeapLimitMB:    16384, // 16GB process-wide\n    69→\t\tBusyTimeoutMs:        60000, // 60 seconds\n    70→\t}\n    71→}\n    72→\n    73→// repoConfig is the package-level configuration instance.\n    74→// It is initialized with defaults and can be overridden via SetConfig.\n    75→var repoConfig *RepositoryConfig = DefaultConfig()\n    76→\n    77→// SetConfig sets the repository configuration.\n    78→// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n    79→// If not called, default values from DefaultConfig() are used.\n    80→func SetConfig(cfg *RepositoryConfig) {\n    81→\tif cfg != nil {\n    82→\t\trepoConfig = cfg\n    83→\t}\n    84→}\n    85→\n    86→// GetConfig returns the current repository configuration.\n    87→func GetConfig() *RepositoryConfig {\n    88→\treturn repoConfig\n    89→}\n    90→"}]},"uuid":"b52aab3d-70ab-4612-ab88-21bf16ecfd5f","timestamp":"2026-03-16T10:19:02.952Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"13ac3caa-bfc8-42de-8a2e-6d97a9a25fee","timestamp":"2026-03-16T10:19:02.963Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"13ac3caa-bfc8-42de-8a2e-6d97a9a25fee","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:03.249Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01GyWTgPCodqRdXWs2Xtqnf9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KyfFdLVrZr5BhrZzGeEYuR","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go","limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":3652,"cache_read_input_tokens":47867,"cache_creation":{"ephemeral_5m_input_tokens":3652,"ephemeral_1h_input_tokens":0},"output_tokens":18,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7nWPY1M4kbgthYUgQ","uuid":"5a0fc9cf-8ece-4061-ad34-30078c5300bc"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"9b943414-b0f7-4dde-8d10-192d4b43b05b","timestamp":"2026-03-16T10:19:03.250Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"9b943414-b0f7-4dde-8d10-192d4b43b05b","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KyfFdLVrZr5BhrZzGeEYuR","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// This file implements checkpoint persistence for the in-memory metric store.\n     7→//\n     8→// Checkpoints enable graceful restarts by periodically saving in-memory metric\n     9→// data to disk in JSON or binary format. The checkpoint system:\n    10→//\n    11→// Key Features:\n    12→//   - Periodic background checkpointing via the Checkpointing() worker\n    13→//   - Two format families: JSON (human-readable) and WAL+binary (compact, crash-safe)\n    14→//   - Parallel checkpoint creation and loading using worker pools\n    15→//   - Hierarchical file organization: checkpoint_dir/cluster/host/timestamp.{json|bin}\n    16→//   - WAL file: checkpoint_dir/cluster/host/current.wal (append-only, per-entry)\n    17→//   - Only saves unarchived data (archived data is already persisted elsewhere)\n    18→//   - GC optimization during loading to prevent excessive heap growth\n    19→//\n    20→// Checkpoint Workflow:\n    21→//  1. Init() loads checkpoints within retention window at startup\n    22→//  2. Checkpointing() worker periodically saves new data\n    23→//  3. Shutdown() writes final checkpoint before exit\n    24→//\n    25→// File Organization:\n    26→//\n    27→//\tcheckpoints/\n    28→//\t  cluster1/\n    29→//\t    host001/\n    30→//\t      1234567890.json  (JSON format: full subtree snapshot)\n    31→//\t      1234567890.bin   (binary format: full subtree snapshot)\n    32→//\t      current.wal      (WAL format: append-only per-entry log)\n    33→//\t    host002/\n    34→//\t      ...\n    35→package metricstore\n    36→\n    37→import (\n    38→\t\"bufio\"\n    39→\t\"context\"\n    40→\t\"encoding/json\"\n    41→\t\"errors\"\n    42→\t\"fmt\"\n    43→\t\"io/fs\"\n    44→\t\"os\"\n    45→\t\"path\"\n    46→\t\"path/filepath\"\n    47→\t\"sort\"\n    48→\t\"strconv\"\n    49→\t\"strings\"\n    50→\t\"sync\"\n    51→\t\"sync/atomic\"\n    52→\t\"time\"\n    53→\n    54→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    55→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    56→)\n    57→\n    58→const (\n    59→\tCheckpointFilePerms = 0o644                    // File permissions for checkpoint files\n    60→\tCheckpointDirPerms  = 0o755                    // Directory permissions for checkpoint directories\n    61→\tGCTriggerInterval   = DefaultGCTriggerInterval // Interval for triggering GC during checkpoint loading\n    62→)\n    63→\n    64→// CheckpointMetrics represents metric data in a checkpoint file.\n    65→// Whenever the structure changes, update MarshalJSON as well!\n    66→type CheckpointMetrics struct {\n    67→\tData      []schema.Float `json:\"data\"`\n    68→\tFrequency int64          `json:\"frequency\"`\n    69→\tStart     int64          `json:\"start\"`\n    70→}\n    71→\n    72→// CheckpointFile represents the hierarchical structure of a checkpoint file.\n    73→// It mirrors the Level tree structure from the MemoryStore.\n    74→type CheckpointFile struct {\n    75→\tMetrics  map[string]*CheckpointMetrics `json:\"metrics\"`\n    76→\tChildren map[string]*CheckpointFile    `json:\"children\"`\n    77→\tFrom     int64                         `json:\"from\"`\n    78→\tTo       int64                         `json:\"to\"`\n    79→}\n    80→\n    81→// lastCheckpoint tracks the timestamp of the last checkpoint creation.\n    82→var (\n    83→\tlastCheckpoint   time.Time\n    84→\tlastCheckpointMu sync.Mutex\n    85→)\n    86→\n    87→// Checkpointing starts a background worker that periodically saves metric data to disk.\n    88→//\n    89→// Checkpoints are written every 12 hours (hardcoded).\n    90→//\n    91→// Format behaviour:\n    92→//   - \"json\": Periodic checkpointing every checkpointInterval\n    93→//   - \"wal\":  Periodic binary snapshots + WAL rotation every checkpointInterval\n    94→func Checkpointing(wg *sync.WaitGroup, ctx context.Context) {\n    95→\tlastCheckpointMu.Lock()\n    96→\tlastCheckpoint = time.Now()\n    97→\tlastCheckpointMu.Unlock()\n    98→\n    99→\tms := GetMemoryStore()\n   100→\n   101→\twg.Go(func() {\n   102→\n   103→\t\td := 12 * time.Hour // default checkpoint interval\n   104→\t\tif Keys.CheckpointInterval != \"\" {\n   105→\t\t\tparsed, err := time.ParseDuration(Keys.CheckpointInterval)\n   106→\t\t\tif err != nil {\n   107→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> invalid checkpoint-interval %q: %s, using default 12h\", Keys.CheckpointInterval, err)\n   108→\t\t\t} else {\n   109→\t\t\t\td = parsed\n   110→\t\t\t}\n   111→\t\t}\n   112→\n   113→\t\tticker := time.NewTicker(d)\n   114→\t\tdefer ticker.Stop()\n   115→\n   116→\t\tfor {\n   117→\t\t\tselect {\n   118→\t\t\tcase <-ctx.Done():\n   119→\t\t\t\treturn\n   120→\t\t\tcase <-ticker.C:\n   121→\t\t\t\tlastCheckpointMu.Lock()\n   122→\t\t\t\tfrom := lastCheckpoint\n   123→\t\t\t\tlastCheckpointMu.Unlock()\n   124→\n   125→\t\t\t\tnow := time.Now()\n   126→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start checkpointing (starting at %s)...\", from.Format(time.RFC3339))\n   127→\n   128→\t\t\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n   129→\t\t\t\t\tn, hostDirs, err := ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), now.Unix())\n   130→\t\t\t\t\tif err != nil {\n   131→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpointing failed: %s\", err.Error())\n   132→\t\t\t\t\t} else {\n   133→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d binary snapshot files created\", n)\n   134→\t\t\t\t\t\tlastCheckpointMu.Lock()\n   135→\t\t\t\t\t\tlastCheckpoint = now\n   136→\t\t\t\t\t\tlastCheckpointMu.Unlock()\n   137→\t\t\t\t\t\t// Rotate WAL files for successfully checkpointed hosts.\n   138→\t\t\t\t\t\tRotateWALFiles(hostDirs)\n   139→\t\t\t\t\t}\n   140→\t\t\t\t} else {\n   141→\t\t\t\t\tn, err := ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), now.Unix())\n   142→\t\t\t\t\tif err != nil {\n   143→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> checkpointing failed: %s\", err.Error())\n   144→\t\t\t\t\t} else {\n   145→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files created\", n)\n   146→\t\t\t\t\t\tlastCheckpointMu.Lock()\n   147→\t\t\t\t\t\tlastCheckpoint = now\n   148→\t\t\t\t\t\tlastCheckpointMu.Unlock()\n   149→\t\t\t\t\t}\n   150→\t\t\t\t}"}]},"uuid":"2e62ad0e-e1ca-4a62-8920-adefada05ab4","timestamp":"2026-03-16T10:19:03.257Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"08bc3ea6-5a29-40ce-a454-517965a2df69","timestamp":"2026-03-16T10:19:03.412Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"62950f86-d692-4cd6-80d5-c9ab75652eb6","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PKpit9DLQd9NqwBkhNcXKB","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package metricstore\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"errors\"\n    11→\t\"fmt\"\n    12→\t\"os\"\n    13→\t\"path/filepath\"\n    14→\t\"sync\"\n    15→\t\"sync/atomic\"\n    16→\t\"time\"\n    17→\n    18→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    19→)\n    20→\n    21→// Worker for either Archiving or Deleting files\n    22→\n    23→func CleanUp(wg *sync.WaitGroup, ctx context.Context) {\n    24→\tif Keys.Cleanup.Mode == \"archive\" {\n    25→\t\t// Run as Archiver\n    26→\t\tcleanUpWorker(wg, ctx,\n    27→\t\t\tKeys.RetentionInMemory,\n    28→\t\t\t\"archiving\",\n    29→\t\t\tKeys.Cleanup.RootDir,\n    30→\t\t\tfalse,\n    31→\t\t)\n    32→\t} else {\n    33→\t\t// Run as Deleter\n    34→\t\tcleanUpWorker(wg, ctx,\n    35→\t\t\tKeys.RetentionInMemory,\n    36→\t\t\t\"deleting\",\n    37→\t\t\t\"\",\n    38→\t\t\ttrue,\n    39→\t\t)\n    40→\t}\n    41→}\n    42→\n    43→// cleanUpWorker takes simple values to configure what it does\n    44→func cleanUpWorker(wg *sync.WaitGroup, ctx context.Context, interval string, mode string, cleanupDir string, delete bool) {\n    45→\twg.Go(func() {\n    46→\n    47→\t\td, err := time.ParseDuration(interval)\n    48→\t\tif err != nil {\n    49→\t\t\tcclog.Fatalf(\"[METRICSTORE]> error parsing %s interval duration: %v\\n\", mode, err)\n    50→\t\t}\n    51→\t\tif d <= 0 {\n    52→\t\t\treturn\n    53→\t\t}\n    54→\n    55→\t\tticker := time.NewTicker(d)\n    56→\t\tdefer ticker.Stop()\n    57→\n    58→\t\tfor {\n    59→\t\t\tselect {\n    60→\t\t\tcase <-ctx.Done():\n    61→\t\t\t\treturn\n    62→\t\t\tcase <-ticker.C:\n    63→\t\t\t\tt := time.Now().Add(-d)\n    64→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start %s checkpoints (older than %s)...\", mode, t.Format(time.RFC3339))\n    65→\n    66→\t\t\t\tn, err := CleanupCheckpoints(Keys.Checkpoints.RootDir, cleanupDir, t.Unix(), delete)\n    67→\n    68→\t\t\t\tif err != nil {\n    69→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> %s failed: %s\", mode, err.Error())\n    70→\t\t\t\t} else {\n    71→\t\t\t\t\tif delete {\n    72→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoints deleted\", n)\n    73→\t\t\t\t\t} else {\n    74→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files archived to parquet\", n)\n    75→\t\t\t\t\t}\n    76→\t\t\t\t}\n    77→\t\t\t}\n    78→\t\t}\n    79→\t})\n    80→}\n    81→\n    82→var ErrNoNewArchiveData error = errors.New(\"all data already archived\")\n    83→\n    84→// CleanupCheckpoints deletes or archives all checkpoint files older than `from`.\n    85→// When archiving, consolidates all hosts per cluster into a single Parquet file.\n    86→func CleanupCheckpoints(checkpointsDir, cleanupDir string, from int64, deleteInstead bool) (int, error) {\n    87→\tif deleteInstead {\n    88→\t\treturn deleteCheckpoints(checkpointsDir, from)\n    89→\t}\n    90→\n    91→\treturn archiveCheckpoints(checkpointsDir, cleanupDir, from)\n    92→}\n    93→\n    94→// deleteCheckpoints removes checkpoint files older than `from` across all clusters/hosts.\n    95→func deleteCheckpoints(checkpointsDir string, from int64) (int, error) {\n    96→\tentries1, err := os.ReadDir(checkpointsDir)\n    97→\tif err != nil {\n    98→\t\treturn 0, err\n    99→\t}\n   100→\n   101→\ttype workItem struct {\n   102→\t\tdir            string\n   103→\t\tcluster, host  string\n   104→\t}\n   105→\n   106→\tvar wg sync.WaitGroup\n   107→\tn, errs := int32(0), int32(0)\n   108→\twork := make(chan workItem, Keys.NumWorkers)\n   109→\n   110→\twg.Add(Keys.NumWorkers)\n   111→\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n   112→\t\tgo func() {\n   113→\t\t\tdefer wg.Done()\n   114→\t\t\tfor item := range work {\n   115→\t\t\t\tentries, err := os.ReadDir(item.dir)\n   116→\t\t\t\tif err != nil {\n   117→\t\t\t\t\tcclog.Errorf(\"error reading %s/%s: %s\", item.cluster, item.host, err.Error())\n   118→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   119→\t\t\t\t\tcontinue\n   120→\t\t\t\t}\n   121→\n   122→\t\t\t\tfiles, err := findFiles(entries, from, false)\n   123→\t\t\t\tif err != nil {\n   124→\t\t\t\t\tcclog.Errorf(\"error finding files in %s/%s: %s\", item.cluster, item.host, err.Error())\n   125→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   126→\t\t\t\t\tcontinue\n   127→\t\t\t\t}\n   128→\n   129→\t\t\t\tfor _, checkpoint := range files {\n   130→\t\t\t\t\tif err := os.Remove(filepath.Join(item.dir, checkpoint)); err != nil {\n   131→\t\t\t\t\t\tcclog.Errorf(\"error deleting %s/%s/%s: %s\", item.cluster, item.host, checkpoint, err.Error())\n   132→\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   133→\t\t\t\t\t} else {\n   134→\t\t\t\t\t\tatomic.AddInt32(&n, 1)\n   135→\t\t\t\t\t}\n   136→\t\t\t\t}\n   137→\t\t\t}\n   138→\t\t}()\n   139→\t}\n   140→\n   141→\tfor _, de1 := range entries1 {\n   142→\t\tentries2, e := os.ReadDir(filepath.Join(checkpointsDir, de1.Name()))\n   143→\t\tif e != nil {\n   144→\t\t\terr = e\n   145→\t\t\tcontinue\n   146→\t\t}\n   147→\n   148→\t\tfor _, de2 := range entries2 {\n   149→\t\t\twork <- workItem{\n   150→\t\t\t\tdir:     filepath.Join(checkpointsDir, de1.Name(), de2.Name()),"}]},"uuid":"3afe89cf-60fc-471d-ae9b-6f193b18a7a9","timestamp":"2026-03-16T10:19:03.485Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"54d4faf4-bc11-4dac-b7f7-b8bdc182f051","timestamp":"2026-03-16T10:19:03.493Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"44c09212-687c-499b-ac29-9cc0e79d8189","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FeC9fr85spYr1P3VKWY5Lc","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package main provides the entry point for the ClusterCockpit backend server.\n     7→// It orchestrates initialization of all subsystems including configuration,\n     8→// database, authentication, and the HTTP server.\n     9→package main\n    10→\n    11→import (\n    12→\t\"context\"\n    13→\t\"encoding/json\"\n    14→\t\"fmt\"\n    15→\t\"os\"\n    16→\t\"os/signal\"\n    17→\t\"runtime/debug\"\n    18→\t\"strings\"\n    19→\t\"sync\"\n    20→\t\"syscall\"\n    21→\t\"time\"\n    22→\n    23→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    24→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n    25→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    26→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n    27→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    28→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    29→\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n    30→\t\"github.com/ClusterCockpit/cc-backend/internal/taskmanager\"\n    31→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    32→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n    33→\t\"github.com/ClusterCockpit/cc-backend/web\"\n    34→\tccconf \"github.com/ClusterCockpit/cc-lib/v2/ccConfig\"\n    35→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    36→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    37→\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n    38→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    39→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n    40→\t\"github.com/google/gops/agent\"\n    41→\t\"github.com/joho/godotenv\"\n    42→\n    43→\t_ \"github.com/mattn/go-sqlite3\"\n    44→)\n    45→\n    46→const logoString = `\n    47→ _____ _           _             ____           _          _ _\n    48→/  ___| |_   _ ___| |_ ___ _ __ / ___|___   ___| | ___ __ (_) |_\n    49→| |   | | | | / __| __/ _ \\ '__| |   / _ \\ / __| |/ / '_ \\| | __|\n    50→| |___| | |_| \\__ \\ ||  __/ |  | |__| (_) | (__|   <| |_) | | |_\n    51→\\_____|_|\\__,_|___/\\__\\___|_|   \\____\\___/ \\___|_|\\_\\ .__/|_|\\__|\n    52→                                                    |_|\n    53→`\n    54→\n    55→// Environment variable names\n    56→const (\n    57→\tenvGOGC = \"GOGC\"\n    58→)\n    59→\n    60→// Default configurations\n    61→const (\n    62→\tdefaultArchiveConfig = `{\"kind\":\"file\",\"path\":\"./var/job-archive\"}`\n    63→)\n    64→\n    65→var (\n    66→\tdate    string\n    67→\tcommit  string\n    68→\tversion string\n    69→)\n    70→\n    71→func printVersion() {\n    72→\tfmt.Print(logoString)\n    73→\tfmt.Printf(\"Version:\\t%s\\n\", version)\n    74→\tfmt.Printf(\"Git hash:\\t%s\\n\", commit)\n    75→\tfmt.Printf(\"Build time:\\t%s\\n\", date)\n    76→\tfmt.Printf(\"SQL db version:\\t%d\\n\", repository.Version)\n    77→\tfmt.Printf(\"Job archive version:\\t%d\\n\", archive.Version)\n    78→}\n    79→\n    80→func initGops() error {\n    81→\tif !flagGops {\n    82→\t\treturn nil\n    83→\t}\n    84→\n    85→\tif err := agent.Listen(agent.Options{}); err != nil {\n    86→\t\treturn fmt.Errorf(\"starting gops agent: %w\", err)\n    87→\t}\n    88→\treturn nil\n    89→}\n    90→\n    91→func loadEnvironment() error {\n    92→\tif err := godotenv.Load(); err != nil {\n    93→\t\treturn fmt.Errorf(\"loading .env file: %w\", err)\n    94→\t}\n    95→\treturn nil\n    96→}\n    97→\n    98→func initConfiguration() error {\n    99→\tccconf.Init(flagConfigFile)\n   100→\n   101→\tcfg := ccconf.GetPackageConfig(\"main\")\n   102→\tif cfg == nil {\n   103→\t\treturn fmt.Errorf(\"main configuration must be present\")\n   104→\t}\n   105→\n   106→\tconfig.Init(cfg)\n   107→\treturn nil\n   108→}\n   109→\n   110→func initDatabase() error {\n   111→\tif config.Keys.DbConfig != nil {\n   112→\t\tcfg := repository.DefaultConfig()\n   113→\t\tdc := config.Keys.DbConfig\n   114→\t\tif dc.CacheSizeMB > 0 {\n   115→\t\t\tcfg.DbCacheSizeMB = dc.CacheSizeMB\n   116→\t\t}\n   117→\t\tif dc.SoftHeapLimitMB > 0 {\n   118→\t\t\tcfg.DbSoftHeapLimitMB = dc.SoftHeapLimitMB\n   119→\t\t}\n   120→\t\tif dc.MaxOpenConnections > 0 {\n   121→\t\t\tcfg.MaxOpenConnections = dc.MaxOpenConnections\n   122→\t\t}\n   123→\t\tif dc.MaxIdleConnections > 0 {\n   124→\t\t\tcfg.MaxIdleConnections = dc.MaxIdleConnections\n   125→\t\t}\n   126→\t\tif dc.ConnectionMaxIdleTimeMins > 0 {\n   127→\t\t\tcfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute\n   128→\t\t}\n   129→\t\trepository.SetConfig(cfg)\n   130→\t}\n   131→\trepository.Connect(config.Keys.DB)\n   132→\treturn nil\n   133→}\n   134→\n   135→func handleDatabaseCommands() error {\n   136→\tif flagMigrateDB {\n   137→\t\terr := repository.MigrateDB(config.Keys.DB)\n   138→\t\tif err != nil {\n   139→\t\t\treturn fmt.Errorf(\"migrating database to version %d: %w\", repository.Version, err)\n   140→\t\t}\n   141→\t\tcclog.Exitf(\"MigrateDB Success: Migrated SQLite database at '%s' to version %d.\\n\",\n   142→\t\t\tconfig.Keys.DB, repository.Version)\n   143→\t}\n   144→\n   145→\tif flagRevertDB {\n   146→\t\terr := repository.RevertDB(config.Keys.DB)\n   147→\t\tif err != nil {\n   148→\t\t\treturn fmt.Errorf(\"reverting database to version %d: %w\", repository.Version-1, err)\n   149→\t\t}\n   150→\t\tcclog.Exitf(\"RevertDB Success: Reverted SQLite database at '%s' to version %d.\\n\","}]},"uuid":"50c72db8-1193-4668-a5ab-a831c0b28297","timestamp":"2026-03-16T10:19:05.300Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"d30ca725-65e2-48c0-aa57-0340539f91b0","timestamp":"2026-03-16T10:19:05.581Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d30ca725-65e2-48c0-aa57-0340539f91b0","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:05.964Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01LJ3XxW1v5AFPnJvbZpSdmT","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UYjt9gRJmVFdedUZ3p6yHJ","name":"Grep","input":{"pattern":"taskmanager\\.Start|archiver\\.Start|metricstore\\.Init|Shutdown","type":"go","path":"/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend","output_mode":"content"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":4160,"cache_read_input_tokens":51519,"cache_creation":{"ephemeral_5m_input_tokens":4160,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7vJwiwLWsiVxoestV","uuid":"bffd57cc-e1a9-43a7-88e6-9209b4e7ffe3"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"c34bac75-fe5d-4d7a-9b2c-eac17e5107ab","timestamp":"2026-03-16T10:19:05.965Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"c34bac75-fe5d-4d7a-9b2c-eac17e5107ab","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UYjt9gRJmVFdedUZ3p6yHJ","type":"tool_result","content":"cmd/cc-backend/main.go:343:\t\tmetricstore.Init(mscfg, metrics, &wg)\ncmd/cc-backend/main.go:373:\tarchiver.Start(repository.GetJobRepository(), ctx)\ncmd/cc-backend/main.go:374:\ttaskmanager.Start(ccconf.GetPackageConfig(\"cron\"), ccconf.GetPackageConfig(\"archive\"))\ncmd/cc-backend/main.go:406:\t\t\tcclog.Info(\"Shutdown signal received\")\ncmd/cc-backend/main.go:411:\t\tsrv.Shutdown(ctx)\ncmd/cc-backend/main.go:412:\t\tutil.FsWatcherShutdown()\ncmd/cc-backend/main.go:413:\t\ttaskmanager.Shutdown()\ncmd/cc-backend/server.go:407:\t\tif err := s.server.Shutdown(shutdownCtx); err != nil {\ncmd/cc-backend/server.go:418:func (s *Server) Shutdown(ctx context.Context) {\ncmd/cc-backend/server.go:429:\tif err := s.server.Shutdown(shutdownCtx); err != nil {\ncmd/cc-backend/server.go:437:\t\tmetricstore.Shutdown()\ncmd/cc-backend/server.go:440:\t// Shutdown archiver with 10 second timeout for fast shutdown\ncmd/cc-backend/server.go:441:\tif err := archiver.Shutdown(10 * time.Second); err != nil {"}]},"uuid":"73ab8bde-0953-4ec8-9bd7-3f54d658a02e","timestamp":"2026-03-16T10:19:05.985Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"b3aad3d9-92aa-4500-bffb-d390c8a27614","timestamp":"2026-03-16T10:19:05.986Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"e7152bfa-6d65-4375-9200-50ded51bd86b","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ST4386xqZyT4q6mcKciHXA","type":"tool_result","content":"   200→\n   201→\t\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n   202→\t\tif err != nil {\n   203→\t\t\thandleError(err, http.StatusInternalServerError, rw)\n   204→\t\t\treturn\n   205→\t\t}\n   206→\n   207→\t\tif job.MonitoringStatus == schema.MonitoringStatusArchivingSuccessful {\n   208→\t\t\tjob.Statistics, err = archive.GetStatistics(job)\n   209→\t\t\tif err != nil {\n   210→\t\t\t\thandleError(err, http.StatusInternalServerError, rw)\n   211→\t\t\t\treturn\n   212→\t\t\t}\n   213→\t\t}\n   214→\n   215→\t\tresults = append(results, job)\n   216→\t}\n   217→\n   218→\tcclog.Debugf(\"/api/jobs: %d jobs returned\", len(results))\n   219→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   220→\tbw := bufio.NewWriter(rw)\n   221→\tdefer bw.Flush()\n   222→\n   223→\tpayload := GetJobsAPIResponse{\n   224→\t\tJobs:  results,\n   225→\t\tItems: page.ItemsPerPage,\n   226→\t\tPage:  page.Page,\n   227→\t}\n   228→\n   229→\tif err := json.NewEncoder(bw).Encode(payload); err != nil {\n   230→\t\thandleError(err, http.StatusInternalServerError, rw)\n   231→\t\treturn\n   232→\t}\n   233→}\n   234→\n   235→// getCompleteJobByID godoc\n   236→// @summary   Get job meta and optional all metric data\n   237→// @tags Job query\n   238→// @description Job to get is specified by database ID\n   239→// @description Returns full job resource information according to 'Job' scheme and all metrics according to 'JobData'.\n   240→// @produce     json\n   241→// @param       id          path     int                  true \"Database ID of Job\"\n   242→// @param       all-metrics query    bool                 false \"Include all available metrics\"\n   243→// @success     200     {object} api.GetJobAPIResponse      \"Job resource\"\n   244→// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n   245→// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n   246→// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n   247→// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n   248→// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n   249→// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n   250→// @security    ApiKeyAuth\n   251→// @router      /api/jobs/{id} [get]\n   252→func (api *RestAPI) getCompleteJobByID(rw http.ResponseWriter, r *http.Request) {\n   253→\t// Fetch job from db\n   254→\tid := chi.URLParam(r, \"id\")\n   255→\tvar job *schema.Job\n   256→\tvar err error\n   257→\tif id != \"\" {\n   258→\t\tid, e := strconv.ParseInt(id, 10, 64)\n   259→\t\tif e != nil {\n   260→\t\t\thandleError(fmt.Errorf(\"integer expected in path for id: %w\", e), http.StatusBadRequest, rw)\n   261→\t\t\treturn\n   262→\t\t}\n   263→\n   264→\t\tjob, err = api.JobRepository.FindByID(r.Context(), id) // Get Job from Repo by ID\n   265→\t} else {\n   266→\t\thandleError(fmt.Errorf(\"the parameter 'id' is required\"), http.StatusBadRequest, rw)\n   267→\t\treturn\n   268→\t}\n   269→\tif err != nil {\n   270→\t\thandleError(fmt.Errorf(\"finding job with db id %s failed: %w\", id, err), http.StatusUnprocessableEntity, rw)\n   271→\t\treturn\n   272→\t}\n   273→\n   274→\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n   275→\tif err != nil {\n   276→\t\thandleError(err, http.StatusInternalServerError, rw)\n   277→\t\treturn\n   278→\n   279→\t}\n   280→\tif _, err = api.JobRepository.FetchMetadata(job); err != nil {\n   281→\n   282→\t\thandleError(err, http.StatusInternalServerError, rw)\n   283→\t\treturn\n   284→\t}\n   285→\n   286→\tvar scopes []schema.MetricScope\n   287→\n   288→\tif job.NumNodes == 1 {\n   289→\t\tscopes = []schema.MetricScope{\"core\"}\n   290→\t} else {\n   291→\t\tscopes = []schema.MetricScope{\"node\"}\n   292→\t}\n   293→\n   294→\tvar data schema.JobData\n   295→\n   296→\tmetricConfigs := archive.GetCluster(job.Cluster).MetricConfig\n   297→\tresolution := 0\n   298→\n   299→\tfor _, mc := range metricConfigs {\n   300→\t\tresolution = max(resolution, mc.Timestep)\n   301→\t}\n   302→\n   303→\tif r.URL.Query().Get(\"all-metrics\") == \"true\" {\n   304→\t\tdata, err = metricdispatch.LoadData(job, nil, scopes, r.Context(), resolution)\n   305→\t\tif err != nil {\n   306→\t\t\tcclog.Warnf(\"REST: error while loading all-metrics job data for JobID %d on %s\", job.JobID, job.Cluster)\n   307→\t\t\treturn\n   308→\t\t}\n   309→\t}\n   310→\n   311→\tcclog.Debugf(\"/api/job/%s: get job %d\", id, job.JobID)\n   312→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   313→\tbw := bufio.NewWriter(rw)\n   314→\tdefer bw.Flush()\n   315→\n   316→\tpayload := GetCompleteJobAPIResponse{\n   317→\t\tMeta: job,\n   318→\t\tData: data,\n   319→\t}\n   320→\n   321→\tif err := json.NewEncoder(bw).Encode(payload); err != nil {\n   322→\t\thandleError(err, http.StatusInternalServerError, rw)\n   323→\t\treturn\n   324→\t}\n   325→}\n   326→\n   327→// getJobByID godoc\n   328→// @summary   Get job meta and configurable metric data\n   329→// @tags Job query\n   330→// @description Job to get is specified by database ID\n   331→// @description Returns full job resource information according to 'Job' scheme and all metrics according to 'JobData'.\n   332→// @accept      json\n   333→// @produce     json\n   334→// @param       id          path     int                  true \"Database ID of Job\"\n   335→// @param       request     body     api.GetJobAPIRequest true  \"Array of metric names\"\n   336→// @success     200     {object} api.GetJobAPIResponse      \"Job resource\"\n   337→// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n   338→// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n   339→// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n   340→// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n   341→// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n   342→// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n   343→// @security    ApiKeyAuth\n   344→// @router      /api/jobs/{id} [post]\n   345→func (api *RestAPI) getJobByID(rw http.ResponseWriter, r *http.Request) {\n   346→\t// Fetch job from db\n   347→\tid := chi.URLParam(r, \"id\")\n   348→\tvar job *schema.Job\n   349→\tvar err error\n   350→\tif id != \"\" {\n   351→\t\tid, e := strconv.ParseInt(id, 10, 64)\n   352→\t\tif e != nil {\n   353→\t\t\thandleError(fmt.Errorf(\"integer expected in path for id: %w\", e), http.StatusBadRequest, rw)\n   354→\t\t\treturn\n   355→\t\t}\n   356→\n   357→\t\tjob, err = api.JobRepository.FindByID(r.Context(), id)\n   358→\t} else {\n   359→\t\thandleError(errors.New(\"the parameter 'id' is required\"), http.StatusBadRequest, rw)\n   360→\t\treturn\n   361→\t}\n   362→\tif err != nil {\n   363→\t\thandleError(fmt.Errorf(\"finding job with db id %s failed: %w\", id, err), http.StatusUnprocessableEntity, rw)\n   364→\t\treturn\n   365→\t}\n   366→\n   367→\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n   368→\tif err != nil {\n   369→\t\thandleError(err, http.StatusInternalServerError, rw)\n   370→\t\treturn\n   371→\n   372→\t}\n   373→\tif _, err = api.JobRepository.FetchMetadata(job); err != nil {\n   374→\n   375→\t\thandleError(err, http.StatusInternalServerError, rw)\n   376→\t\treturn\n   377→\t}\n   378→\n   379→\tvar metrics GetJobAPIRequest\n   380→\tif err = decode(r.Body, &metrics); err != nil {\n   381→\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n   382→\t\treturn\n   383→\t}\n   384→\n   385→\tvar scopes []schema.MetricScope\n   386→\n   387→\tif job.NumNodes == 1 {\n   388→\t\tscopes = []schema.MetricScope{\"core\"}\n   389→\t} else {\n   390→\t\tscopes = []schema.MetricScope{\"node\"}\n   391→\t}\n   392→\n   393→\tmetricConfigs := archive.GetCluster(job.Cluster).MetricConfig\n   394→\tresolution := 0\n   395→\n   396→\tfor _, mc := range metricConfigs {\n   397→\t\tresolution = max(resolution, mc.Timestep)\n   398→\t}\n   399→\n   400→\tdata, err := metricdispatch.LoadData(job, metrics, scopes, r.Context(), resolution)\n   401→\tif err != nil {\n   402→\t\tcclog.Warnf(\"REST: error while loading job data for JobID %d on %s\", job.JobID, job.Cluster)\n   403→\t\treturn\n   404→\t}\n   405→\n   406→\tres := []*JobMetricWithName{}\n   407→\tfor name, md := range data {\n   408→\t\tfor scope, metric := range md {\n   409→\t\t\tres = append(res, &JobMetricWithName{\n   410→\t\t\t\tName:   name,\n   411→\t\t\t\tScope:  scope,\n   412→\t\t\t\tMetric: metric,\n   413→\t\t\t})\n   414→\t\t}\n   415→\t}\n   416→\n   417→\tcclog.Debugf(\"/api/job/%s: get job %d\", id, job.JobID)\n   418→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   419→\tbw := bufio.NewWriter(rw)\n   420→\tdefer bw.Flush()\n   421→\n   422→\tpayload := GetJobAPIResponse{\n   423→\t\tMeta: job,\n   424→\t\tData: res,\n   425→\t}\n   426→\n   427→\tif err := json.NewEncoder(bw).Encode(payload); err != nil {\n   428→\t\thandleError(err, http.StatusInternalServerError, rw)\n   429→\t\treturn\n   430→\t}\n   431→}\n   432→\n   433→// editMeta godoc\n   434→// @summary    Edit meta-data json of job identified by database id\n   435→// @tags Job add and modify\n   436→// @description Edit key value pairs in job metadata json of job specified by database id\n   437→// @description If a key already exists its content will be overwritten\n   438→// @accept      json\n   439→// @produce     json\n   440→// @param       id      path     int                  true \"Job Database ID\"\n   441→// @param       request body     api.EditMetaRequest  true \"Metadata Key value pair to add or update\"\n   442→// @success     200     {object} schema.Job                \"Updated job resource\"\n   443→// @failure     400     {object} api.ErrorResponse         \"Bad Request\"\n   444→// @failure     401     {object} api.ErrorResponse         \"Unauthorized\"\n   445→// @failure     404     {object} api.ErrorResponse         \"Job does not exist\"\n   446→// @failure     500     {object} api.ErrorResponse         \"Internal Server Error\"\n   447→// @security    ApiKeyAuth\n   448→// @router      /api/jobs/edit_meta/{id} [patch]\n   449→func (api *RestAPI) editMeta(rw http.ResponseWriter, r *http.Request) {\n   450→\tid, err := strconv.ParseInt(chi.URLParam(r, \"id\"), 10, 64)\n   451→\tif err != nil {\n   452→\t\thandleError(fmt.Errorf(\"parsing job ID failed: %w\", err), http.StatusBadRequest, rw)\n   453→\t\treturn\n   454→\t}\n   455→\n   456→\tjob, err := api.JobRepository.FindByID(r.Context(), id)\n   457→\tif err != nil {\n   458→\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n   459→\t\treturn\n   460→\t}\n   461→\n   462→\tvar req EditMetaRequest\n   463→\tif err := decode(r.Body, &req); err != nil {\n   464→\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n   465→\t\treturn\n   466→\t}\n   467→\n   468→\tif err := api.JobRepository.UpdateMetadata(job, req.Key, req.Value); err != nil {\n   469→\t\thandleError(fmt.Errorf(\"updating metadata failed: %w\", err), http.StatusInternalServerError, rw)\n   470→\t\treturn\n   471→\t}\n   472→\n   473→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   474→\trw.WriteHeader(http.StatusOK)\n   475→\tif err := json.NewEncoder(rw).Encode(job); err != nil {\n   476→\t\tcclog.Errorf(\"Failed to encode job response: %v\", err)\n   477→\t}\n   478→}\n   479→\n   480→// editMetaByRequest godoc\n   481→// @summary    Edit meta-data json of job identified by request\n   482→// @tags Job add and modify\n   483→// @description Edit key value pairs in metadata json of job specified by jobID, StartTime and Cluster\n   484→// @description If a key already exists its content will be overwritten\n   485→// @accept      json\n   486→// @produce     json\n   487→// @param       request body     api.JobMetaRequest   true \"Specifies job and payload to add or update\"\n   488→// @success     200     {object} schema.Job                \"Updated job resource\"\n   489→// @failure     400     {object} api.ErrorResponse         \"Bad Request\"\n   490→// @failure     401     {object} api.ErrorResponse         \"Unauthorized\"\n   491→// @failure     404     {object} api.ErrorResponse         \"Job does not exist\"\n   492→// @failure     500     {object} api.ErrorResponse         \"Internal Server Error\"\n   493→// @security    ApiKeyAuth\n   494→// @router      /api/jobs/edit_meta/ [patch]\n   495→func (api *RestAPI) editMetaByRequest(rw http.ResponseWriter, r *http.Request) {\n   496→\t// Parse request body\n   497→\treq := JobMetaRequest{}\n   498→\tif err := decode(r.Body, &req); err != nil {\n   499→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)"}]},"uuid":"3aca981d-fe49-453f-82cf-6319171ebbf9","timestamp":"2026-03-16T10:19:06.006Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"edce2b88-2759-4c51-b31d-29c1b6aeb546","timestamp":"2026-03-16T10:19:06.020Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"edce2b88-2759-4c51-b31d-29c1b6aeb546","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:06.431Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01DxpC6YbHcoNjtiTW1NMxbh","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MiiSRGfwasnG3PuKjzkPC8","name":"Grep","input":{"pattern":"UpdateMonitoringStatus|UpdateFootprint|Flush|Exec|NamedExec","type":"go","path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository","output_mode":"content","context":3},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":6439,"cache_read_input_tokens":95757,"cache_creation":{"ephemeral_5m_input_tokens":6439,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7t5WKiozU5nptw7kh","uuid":"4943f452-5595-4151-a6ba-7f1011d0f644"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"3fd6f3e6-3127-4a03-abcc-ae1bfc60d1d7","timestamp":"2026-03-16T10:19:06.432Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"3fd6f3e6-3127-4a03-abcc-ae1bfc60d1d7","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MiiSRGfwasnG3PuKjzkPC8","type":"tool_result","content":"<persisted-output>\nOutput too large (59.9KB). Full output saved to: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/3a41c7a4-abf8-484b-96ae-ee5618eea5ba/tool-results/REDACTED.txt\n\nPreview (first 2KB):\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-182-func (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-183-\tvar err error\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-184-\ninternal/repository/node.go:185:\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-186-\tif err != nil {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-187-\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-188-\t\treturn 0, err\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-235-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-236-\tnodeState.NodeID = id\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-237-\ninternal/repository/node.go:238:\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-239-\tif err != nil {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-240-\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-241-\t\treturn err\n--\ninternal/repository/node.go-291-\t\t\t\tnode := schema.NodeDB{\ninternal/repository/node.go-292-\t\t\t\t\tHostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-293-\t\t\t\t}\ninternal/repository/node.go:294:\t\t\t\tres, insertErr := stmtInsertNode.Exec(&node)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-295-\t\t\t\tif insertErr != nil {\ninternal/repository/node.go-296-\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)\n...\n</persisted-output>"}]},"uuid":"d30021bc-4ee6-4b6e-b76e-08c23a46fd13","timestamp":"2026-03-16T10:19:06.464Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"53842970-bfd8-45d9-9db5-c4fd5644003e","timestamp":"2026-03-16T10:19:06.465Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"53842970-bfd8-45d9-9db5-c4fd5644003e","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:06.863Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01RfkJoCKpmSkkNoRyqKbSR9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LYGKz8XvJ4VHn5vxmxi8mt","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go","offset":545,"limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":551,"cache_read_input_tokens":45041,"cache_creation":{"ephemeral_5m_input_tokens":551,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b84sPbjgj2H6Ltr78S","uuid":"311dd5b9-e19e-4a97-aef9-c30a408d6c44"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"2b5f3bf9-c722-4635-be91-2c9a22ddb906","timestamp":"2026-03-16T10:19:06.864Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"2b5f3bf9-c722-4635-be91-2c9a22ddb906","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LYGKz8XvJ4VHn5vxmxi8mt","type":"tool_result","content":"   545→func (api *RestAPI) tagJob(rw http.ResponseWriter, r *http.Request) {\n   546→\tid, err := strconv.ParseInt(chi.URLParam(r, \"id\"), 10, 64)\n   547→\tif err != nil {\n   548→\t\thandleError(fmt.Errorf(\"parsing job ID failed: %w\", err), http.StatusBadRequest, rw)\n   549→\t\treturn\n   550→\t}\n   551→\n   552→\tjob, err := api.JobRepository.FindByID(r.Context(), id)\n   553→\tif err != nil {\n   554→\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n   555→\t\treturn\n   556→\t}\n   557→\n   558→\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n   559→\tif err != nil {\n   560→\t\thandleError(fmt.Errorf(\"getting tags failed: %w\", err), http.StatusInternalServerError, rw)\n   561→\t\treturn\n   562→\t}\n   563→\n   564→\tvar req TagJobAPIRequest\n   565→\tif err := decode(r.Body, &req); err != nil {\n   566→\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n   567→\t\treturn\n   568→\t}\n   569→\n   570→\tfor _, tag := range req {\n   571→\t\ttagID, err := api.JobRepository.AddTagOrCreate(repository.GetUserFromContext(r.Context()), *job.ID, tag.Type, tag.Name, tag.Scope)\n   572→\t\tif err != nil {\n   573→\t\t\thandleError(fmt.Errorf(\"adding tag failed: %w\", err), http.StatusInternalServerError, rw)\n   574→\t\t\treturn\n   575→\t\t}\n   576→\n   577→\t\tjob.Tags = append(job.Tags, &schema.Tag{\n   578→\t\t\tID:    tagID,\n   579→\t\t\tType:  tag.Type,\n   580→\t\t\tName:  tag.Name,\n   581→\t\t\tScope: tag.Scope,\n   582→\t\t})\n   583→\t}\n   584→\n   585→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   586→\trw.WriteHeader(http.StatusOK)\n   587→\tif err := json.NewEncoder(rw).Encode(job); err != nil {\n   588→\t\tcclog.Errorf(\"Failed to encode job response: %v\", err)\n   589→\t}\n   590→}\n   591→\n   592→// removeTagJob godoc\n   593→// @summary     Removes one or more tags from a job\n   594→// @tags Job add and modify\n   595→// @description Removes tag(s) from a job specified by DB ID. Name and Type of Tag(s) must match.\n   596→// @description Tag Scope is required for matching, options: \"global\", \"admin\". Private tags can not be deleted via API.\n   597→// @description If tagged job is already finished: Tag will be removed from respective archive files.\n   598→// @accept      json\n   599→// @produce     json\n   600→// @param       id      path     int                  true \"Job Database ID\"\n   601→// @param       request body     api.TagJobAPIRequest true \"Array of tag-objects to remove\"\n   602→// @success     200     {object} schema.Job                \"Updated job resource\"\n   603→// @failure     400     {object} api.ErrorResponse         \"Bad Request\"\n   604→// @failure     401     {object} api.ErrorResponse         \"Unauthorized\"\n   605→// @failure     404     {object} api.ErrorResponse         \"Job or tag does not exist\"\n   606→// @failure     500     {object} api.ErrorResponse         \"Internal Server Error\"\n   607→// @security    ApiKeyAuth\n   608→// @router      /jobs/tag_job/{id} [delete]\n   609→func (api *RestAPI) removeTagJob(rw http.ResponseWriter, r *http.Request) {\n   610→\tid, err := strconv.ParseInt(chi.URLParam(r, \"id\"), 10, 64)\n   611→\tif err != nil {\n   612→\t\thandleError(fmt.Errorf(\"parsing job ID failed: %w\", err), http.StatusBadRequest, rw)\n   613→\t\treturn\n   614→\t}\n   615→\n   616→\tjob, err := api.JobRepository.FindByID(r.Context(), id)\n   617→\tif err != nil {\n   618→\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n   619→\t\treturn\n   620→\t}\n   621→\n   622→\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n   623→\tif err != nil {\n   624→\t\thandleError(fmt.Errorf(\"getting tags failed: %w\", err), http.StatusInternalServerError, rw)\n   625→\t\treturn\n   626→\t}\n   627→\n   628→\tvar req TagJobAPIRequest\n   629→\tif err := decode(r.Body, &req); err != nil {\n   630→\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n   631→\t\treturn\n   632→\t}\n   633→\n   634→\tfor _, rtag := range req {\n   635→\t\t// Only Global and Admin Tags\n   636→\t\tif rtag.Scope != \"global\" && rtag.Scope != \"admin\" {\n   637→\t\t\tcclog.Warnf(\"Cannot delete private tag for job %d: Skip\", job.JobID)\n   638→\t\t\tcontinue\n   639→\t\t}\n   640→\n   641→\t\tremainingTags, err := api.JobRepository.RemoveJobTagByRequest(repository.GetUserFromContext(r.Context()), *job.ID, rtag.Type, rtag.Name, rtag.Scope)\n   642→\t\tif err != nil {\n   643→\t\t\thandleError(fmt.Errorf(\"removing tag failed: %w\", err), http.StatusInternalServerError, rw)\n   644→\t\t\treturn\n   645→\t\t}\n   646→\n   647→\t\tjob.Tags = remainingTags\n   648→\t}\n   649→\n   650→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   651→\trw.WriteHeader(http.StatusOK)\n   652→\tif err := json.NewEncoder(rw).Encode(job); err != nil {\n   653→\t\tcclog.Errorf(\"Failed to encode job response: %v\", err)\n   654→\t}\n   655→}\n   656→\n   657→// removeTags godoc\n   658→// @summary     Removes all tags and job-relations for type:name tuple\n   659→// @tags Tag remove\n   660→// @description Removes tags by type and name. Name and Type of Tag(s) must match.\n   661→// @description Tag Scope is required for matching, options: \"global\", \"admin\". Private tags can not be deleted via API.\n   662→// @description Tag wills be removed from respective archive files.\n   663→// @accept      json\n   664→// @produce     plain\n   665→// @param       request body     api.TagJobAPIRequest true \"Array of tag-objects to remove\"\n   666→// @success     200     {string} string                    \"Success Response\"\n   667→// @failure     400     {object} api.ErrorResponse         \"Bad Request\"\n   668→// @failure     401     {object} api.ErrorResponse         \"Unauthorized\"\n   669→// @failure     404     {object} api.ErrorResponse         \"Job or tag does not exist\"\n   670→// @failure     500     {object} api.ErrorResponse         \"Internal Server Error\"\n   671→// @security    ApiKeyAuth\n   672→// @router      /tags/ [delete]\n   673→func (api *RestAPI) removeTags(rw http.ResponseWriter, r *http.Request) {\n   674→\tvar req TagJobAPIRequest\n   675→\tif err := decode(r.Body, &req); err != nil {\n   676→\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n   677→\t\treturn\n   678→\t}\n   679→\n   680→\ttargetCount := len(req)\n   681→\tcurrentCount := 0\n   682→\tfor _, rtag := range req {\n   683→\t\t// Only Global and Admin Tags\n   684→\t\tif rtag.Scope != \"global\" && rtag.Scope != \"admin\" {\n   685→\t\t\tcclog.Warn(\"Cannot delete private tag: Skip\")\n   686→\t\t\tcontinue\n   687→\t\t}\n   688→\n   689→\t\terr := api.JobRepository.RemoveTagByRequest(rtag.Type, rtag.Name, rtag.Scope)\n   690→\t\tif err != nil {\n   691→\t\t\thandleError(fmt.Errorf(\"removing tag failed: %w\", err), http.StatusInternalServerError, rw)\n   692→\t\t\treturn\n   693→\t\t}\n   694→\t\tcurrentCount++"}]},"uuid":"4640341b-02e3-4fc7-9da4-4b8ac5b807c2","timestamp":"2026-03-16T10:19:06.875Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"304b8a57-a0f3-449b-af1f-efae4b9ee82b","timestamp":"2026-03-16T10:19:07.092Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"304b8a57-a0f3-449b-af1f-efae4b9ee82b","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:07.284Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01RfkJoCKpmSkkNoRyqKbSR9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GYNNrKhPhhwkDPePmbnzqP","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go","offset":717,"limit":100},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":551,"cache_read_input_tokens":45041,"cache_creation":{"ephemeral_5m_input_tokens":551,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b84sPbjgj2H6Ltr78S","uuid":"0e2319e1-a334-406c-b861-a62b8cc4a2d1"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"e9d92599-e7a0-4dfd-9cdd-d2f2df72175f","timestamp":"2026-03-16T10:19:07.284Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"e9d92599-e7a0-4dfd-9cdd-d2f2df72175f","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GYNNrKhPhhwkDPePmbnzqP","type":"tool_result","content":"   717→func (api *RestAPI) startJob(rw http.ResponseWriter, r *http.Request) {\n   718→\treq := schema.Job{\n   719→\t\tShared:           \"none\",\n   720→\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n   721→\t}\n   722→\tif err := decode(r.Body, &req); err != nil {\n   723→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n   724→\t\treturn\n   725→\t}\n   726→\n   727→\tcclog.Debugf(\"REST: %s\", req.GoString())\n   728→\treq.State = schema.JobStateRunning\n   729→\n   730→\tif err := importer.SanityChecks(&req); err != nil {\n   731→\t\thandleError(err, http.StatusBadRequest, rw)\n   732→\t\treturn\n   733→\t}\n   734→\n   735→\t// aquire lock to avoid race condition between API calls\n   736→\tvar unlockOnce sync.Once\n   737→\tapi.RepositoryMutex.Lock()\n   738→\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n   739→\n   740→\t// Check if combination of (job_id, cluster_id, start_time) already exists:\n   741→\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n   742→\tif err != nil && err != sql.ErrNoRows {\n   743→\t\thandleError(fmt.Errorf(\"checking for duplicate failed: %w\", err), http.StatusInternalServerError, rw)\n   744→\t\treturn\n   745→\t}\n   746→\tif err == nil {\n   747→\t\tfor _, job := range jobs {\n   748→\t\t\t// Check if jobs are within the same day (prevent duplicates)\n   749→\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n   750→\t\t\t\thandleError(fmt.Errorf(\"a job with that jobId, cluster and startTime already exists: dbid: %d, jobid: %d\", *job.ID, job.JobID), http.StatusUnprocessableEntity, rw)\n   751→\t\t\t\treturn\n   752→\t\t\t}\n   753→\t\t}\n   754→\t}\n   755→\n   756→\t// When tags are present, insert directly into the job table so that the\n   757→\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n   758→\t// Jobs without tags use the cache path as before.\n   759→\tvar id int64\n   760→\tif len(req.Tags) > 0 {\n   761→\t\tid, err = api.JobRepository.StartDirect(&req)\n   762→\t} else {\n   763→\t\tid, err = api.JobRepository.Start(&req)\n   764→\t}\n   765→\tif err != nil {\n   766→\t\thandleError(fmt.Errorf(\"insert into database failed: %w\", err), http.StatusInternalServerError, rw)\n   767→\t\treturn\n   768→\t}\n   769→\t// unlock here, adding Tags can be async\n   770→\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n   771→\n   772→\tfor _, tag := range req.Tags {\n   773→\t\tif _, err := api.JobRepository.AddTagOrCreate(repository.GetUserFromContext(r.Context()), id, tag.Type, tag.Name, tag.Scope); err != nil {\n   774→\t\t\thandleError(fmt.Errorf(\"adding tag to new job %d failed: %w\", id, err), http.StatusInternalServerError, rw)\n   775→\t\t\treturn\n   776→\t\t}\n   777→\t}\n   778→\n   779→\tcclog.Infof(\"new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\", id, req.Cluster, req.JobID, req.User, req.StartTime)\n   780→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   781→\trw.WriteHeader(http.StatusCreated)\n   782→\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{\n   783→\t\tMessage: \"success\",\n   784→\t}); err != nil {\n   785→\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n   786→\t}\n   787→}\n   788→\n   789→// stopJobByRequest godoc\n   790→// @summary     Marks job as completed and triggers archiving\n   791→// @tags Job add and modify\n   792→// @description Job to stop is specified by request body. All fields are required in this case.\n   793→// @description Returns full job resource information according to 'Job' scheme.\n   794→// @produce     json\n   795→// @param       request body     api.StopJobAPIRequest true \"All fields required\"\n   796→// @success     200     {object} schema.Job                 \"Success message\"\n   797→// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n   798→// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n   799→// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n   800→// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n   801→// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: job has already been stopped\"\n   802→// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n   803→// @security    ApiKeyAuth\n   804→// @router      /api/jobs/stop_job/ [post]\n   805→func (api *RestAPI) stopJobByRequest(rw http.ResponseWriter, r *http.Request) {\n   806→\t// Parse request body\n   807→\treq := StopJobAPIRequest{}\n   808→\tif err := decode(r.Body, &req); err != nil {\n   809→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n   810→\t\treturn\n   811→\t}\n   812→\n   813→\t// Fetch job (that will be stopped) from db\n   814→\tvar job *schema.Job\n   815→\tvar err error\n   816→\tif req.JobID == nil {"}]},"uuid":"d7765e85-64ef-4bf3-b716-26095eaada66","timestamp":"2026-03-16T10:19:07.295Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"0eee65f7-a69b-4e94-a68a-ac89d15acfd0","timestamp":"2026-03-16T10:19:07.296Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"0eee65f7-a69b-4e94-a68a-ac89d15acfd0","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:07.443Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01RfkJoCKpmSkkNoRyqKbSR9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ExpCisrNRq5BUKnBPYePbU","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go","offset":805,"limit":100},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":551,"cache_read_input_tokens":45041,"cache_creation":{"ephemeral_5m_input_tokens":551,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b84sPbjgj2H6Ltr78S","uuid":"b66e4a22-d59c-4183-b793-e7dc34d3321f"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"fa2f6f68-d860-4d91-9f2a-6ba0f5ad4477","timestamp":"2026-03-16T10:19:07.444Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"fa2f6f68-d860-4d91-9f2a-6ba0f5ad4477","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ExpCisrNRq5BUKnBPYePbU","type":"tool_result","content":"   805→func (api *RestAPI) stopJobByRequest(rw http.ResponseWriter, r *http.Request) {\n   806→\t// Parse request body\n   807→\treq := StopJobAPIRequest{}\n   808→\tif err := decode(r.Body, &req); err != nil {\n   809→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n   810→\t\treturn\n   811→\t}\n   812→\n   813→\t// Fetch job (that will be stopped) from db\n   814→\tvar job *schema.Job\n   815→\tvar err error\n   816→\tif req.JobID == nil {\n   817→\t\thandleError(errors.New(\"the field 'jobId' is required\"), http.StatusBadRequest, rw)\n   818→\t\treturn\n   819→\t}\n   820→\n   821→\tisCached := false\n   822→\tjob, err = api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n   823→\tif err != nil {\n   824→\t\t// Not in cache, try main job table\n   825→\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n   826→\t\tif err != nil {\n   827→\t\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n   828→\t\t\treturn\n   829→\t\t}\n   830→\t} else {\n   831→\t\tisCached = true\n   832→\t}\n   833→\n   834→\tapi.checkAndHandleStopJob(rw, job, req, isCached)\n   835→}\n   836→\n   837→// deleteJobByID godoc\n   838→// @summary     Remove a job from the sql database\n   839→// @tags Job remove\n   840→// @description Job to remove is specified by database ID. This will not remove the job from the job archive.\n   841→// @produce     json\n   842→// @param       id      path     int                   true \"Database ID of Job\"\n   843→// @success     200     {object} api.DefaultAPIResponse  \"Success message\"\n   844→// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n   845→// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n   846→// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n   847→// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n   848→// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n   849→// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n   850→// @security    ApiKeyAuth\n   851→// @router      /api/jobs/delete_job/{id} [delete]\n   852→func (api *RestAPI) deleteJobByID(rw http.ResponseWriter, r *http.Request) {\n   853→\t// Fetch job (that will be stopped) from db\n   854→\tid := chi.URLParam(r, \"id\")\n   855→\tvar err error\n   856→\tif id != \"\" {\n   857→\t\tid, e := strconv.ParseInt(id, 10, 64)\n   858→\t\tif e != nil {\n   859→\t\t\thandleError(fmt.Errorf(\"integer expected in path for id: %w\", e), http.StatusBadRequest, rw)\n   860→\t\t\treturn\n   861→\t\t}\n   862→\n   863→\t\terr = api.JobRepository.DeleteJobByID(id)\n   864→\t} else {\n   865→\t\thandleError(errors.New(\"the parameter 'id' is required\"), http.StatusBadRequest, rw)\n   866→\t\treturn\n   867→\t}\n   868→\tif err != nil {\n   869→\t\thandleError(fmt.Errorf(\"deleting job failed: %w\", err), http.StatusUnprocessableEntity, rw)\n   870→\t\treturn\n   871→\t}\n   872→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   873→\trw.WriteHeader(http.StatusOK)\n   874→\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{\n   875→\t\tMessage: fmt.Sprintf(\"Successfully deleted job %s\", id),\n   876→\t}); err != nil {\n   877→\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n   878→\t}\n   879→}\n   880→\n   881→// deleteJobByRequest godoc\n   882→// @summary     Remove a job from the sql database\n   883→// @tags Job remove\n   884→// @description Job to delete is specified by request body. All fields are required in this case.\n   885→// @accept      json\n   886→// @produce     json\n   887→// @param       request body     api.DeleteJobAPIRequest true \"All fields required\"\n   888→// @success     200     {object} api.DefaultAPIResponse  \"Success message\"\n   889→// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n   890→// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n   891→// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n   892→// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n   893→// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n   894→// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n   895→// @security    ApiKeyAuth\n   896→// @router      /api/jobs/delete_job/ [delete]\n   897→func (api *RestAPI) deleteJobByRequest(rw http.ResponseWriter, r *http.Request) {\n   898→\t// Parse request body\n   899→\treq := DeleteJobAPIRequest{}\n   900→\tif err := decode(r.Body, &req); err != nil {\n   901→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n   902→\t\treturn\n   903→\t}\n   904→"}]},"uuid":"e00c7de5-7f86-4b5f-8f7f-cddb9406d9d7","timestamp":"2026-03-16T10:19:07.464Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"63ba61f9-1114-4898-baad-474edfedd759","timestamp":"2026-03-16T10:19:07.466Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"8906c93f-4756-4ed1-9db1-3a07f271140c","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015Qpf28zLY44uQaMyphVp5G","type":"tool_result","content":"internal/repository/job.go-192-\t\treturn fmt.Errorf(\"failed to optimize database: %w\", err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-193-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-194-\treturn nil\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-195-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-196-\ninternal/repository/job.go:197:// Flush removes all data from job-related tables (jobtag, tag, job).\ninternal/repository/job.go-198-/ WARNING: This is a destructive operation that deletes all job data.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-199-// Use with extreme caution, typically only for testing or complete resets.\ninternal/repository/job.go:200:func (r *JobRepository) Flush() error {\ninternal/repository/job.go-201-\tif _, err := r.DB.Exec(`DELETE FROM jobtag`); err != nil {\ninternal/repository/job.go-202-\t\tcclog.Errorf(\"Error while deleting from jobtag table: %v\", err)\ninternal/repository/job.go-203-\t\treturn fmt.Errorf(\"failed to flush jobtag table: %w\", err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-204-\t}\ninternal/repository/job.go-205-\tif _, err := r.DB.Exec(`DELETE FROM tag`); err != nil {\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-253-\tr.cache.Put(cachekey, job.MetaData, len(job.RawMetaData), 24*time.Hour)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-254-\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-255-\treturn job.MetaData, nil\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-256-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-257-\ninternal/repository/job.go:258:// UpdateMetadata adds or updates a single metadata key-value pair for a job.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-259-// The entire metadata map is re-marshaled and stored, and the cache is invalidated.\ninternal/repository/job.go:260:// Also triggers archive metadata update via archive.UpdateMetadata.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-261-//\ninternal/repository/job.go-262-/ Parameters:\ninternal/repository/job.go-263-/   - job: Job struct with valid ID, existing metadata will be fetched if not present\ninternal/repository/job.go-264-/   - key: Metadata key to set\ninternal/repository/job.go-265-/   - val: Metadata value to set\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-266-//\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-267-// Returns an error if the job is nil, metadata fetch fails, or database update fails.\ninternal/repository/job.go:268:func (r *JobRepository) UpdateMetadata(job *schema.Job, key, val string) (err error) {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-269-\tif job == nil {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-270-\t\treturn fmt.Errorf(\"job cannot be nil\")\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-271-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-272-\ninternal/repository/job.go-273-\tcachekey := fmt.Sprintf(\"metadata:%d\", *job.ID)\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-300-\t\tcclog.Warnf(\"Error while updating metadata for job, DB ID '%v'\", *job.ID)\ninternal/repository/job.go-301-\t\treturn fmt.Errorf(\"failed to update metadata in database for job %d: %w\", *job.ID, err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-302-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-303-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-304-\tr.cache.Put(cachekey, job.MetaData, len(job.RawMetaData), 24*time.Hour)\ninternal/repository/job.go:305:\treturn archive.UpdateMetadata(job, job.MetaData)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-306-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-307-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-308-// FetchFootprint retrieves and unmarshals the performance footprint JSON for a job.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-309-// Unlike FetchMetadata, footprints are NOT cached as they can be large and change frequently.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-310-//\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-381-\tr.cache.Put(cachekey, job.EnergyFootprint, len(job.EnergyFootprint), 24*time.Hour)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-382-\tcclog.Debugf(\"Timer FetchEnergyFootprint %s\", time.Since(start))\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-383-\treturn job.EnergyFootprint, nil\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-384-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-385-\ninternal/repository/job.go:386:// DeleteJobsBefore removes jobs older than the specified start time.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-387-// Optionally preserves tagged jobs to protect important data from deletion.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-388-// Cache entries for deleted jobs are automatically invalidated.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-389-//\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-390-// This is typically used for data retention policies and cleanup operations.\ninternal/repository/job.go-391-/ WARNING: This is a destructive operation that permanently deletes job records.\n--\ninternal/repository/job.go-394-/   - startTime: Unix timestamp, jobs with start_time < this value will be deleted\ninternal/repository/job.go-395-/   - omitTagged: \"none\" = delete all jobs, \"all\" = skip any tagged jobs,\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-396-//     \"user\" = skip jobs with user-created tags (not auto-tagger types \"app\"/\"jobClass\")\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-397-//\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-398-// Returns the count of deleted jobs or an error if the operation fails.\ninternal/repository/job.go:399:func (r *JobRepository) DeleteJobsBefore(startTime int64, omitTagged string) (int, error) {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-400-\tvar cnt int\ninternal/repository/job.go-401-\tq := sq.Select(\"count(*)\").From(\"job\").Where(\"job.start_time < ?\", startTime)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-402-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-403-\tswitch omitTagged {\ninternal/repository/job.go-404-\tcase \"all\":\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-451-\t}\ninternal/repository/job.go-452-\t_, err := qd.RunWith(r.DB).Exec()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-453-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-454-\tif err != nil {\ninternal/repository/job.go-455-\t\ts, _, _ := qd.ToSql()\ninternal/repository/job.go:456:\t\tcclog.Errorf(\" DeleteJobsBefore(%d) with %s: error %#v\", startTime, s, err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-457-\t} else {\ninternal/repository/job.go:458:\t\tcclog.Debugf(\"DeleteJobsBefore(%d): Deleted %d jobs\", startTime, cnt)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-459-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-460-\treturn cnt, err\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-461-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-462-\ninternal/repository/job.go:463:// DeleteJobByID permanently removes a single job by its database ID.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-464-// Cache entries for the deleted job are automatically invalidated.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-465-//\ninternal/repository/job.go-466-/ Parameters:\ninternal/repository/job.go-467-/   - id: Database ID (primary key) of the job to delete\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-468-//\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-469-// Returns an error if the deletion fails.\ninternal/repository/job.go:470:func (r *JobRepository) DeleteJobByID(id int64) error {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-471-\t// Invalidate cache entries before deletion\ninternal/repository/job.go-472-\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", id))\ninternal/repository/job.go-473-\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", id))\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-474-\ninternal/repository/job.go-475-\tqd := sq.Delete(\"job\").Where(\"job.id = ?\", id)\ninternal/repository/job.go-476-\t_, err := qd.RunWith(r.DB).Exec()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-477-\n\n[Showing results with pagination = limit: 100, offset: 0]"}]},"uuid":"2d409439-d0b4-4534-9c02-afd542f420b7","timestamp":"2026-03-16T10:19:08.651Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"cbc446a9-79c8-4247-9579-24c2e865a303","timestamp":"2026-03-16T10:19:08.652Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"cc2fbd65-7f66-4b04-a1e4-2904a32db284","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NdeBas8R1dYs6xyiYPL8nD","type":"tool_result","content":"   320→func Retention(wg *sync.WaitGroup, ctx context.Context) {\n   321→\tms := GetMemoryStore()\n   322→\n   323→\twg.Go(func() {\n   324→\t\td, err := time.ParseDuration(Keys.RetentionInMemory)\n   325→\t\tif err != nil {\n   326→\t\t\tcclog.Fatal(err)\n   327→\t\t}\n   328→\t\tif d <= 0 {\n   329→\t\t\treturn\n   330→\t\t}\n   331→\n   332→\t\ttickInterval := d / 2\n   333→\t\tif tickInterval <= 0 {\n   334→\t\t\treturn\n   335→\t\t}\n   336→\t\tticker := time.NewTicker(tickInterval)\n   337→\t\tdefer ticker.Stop()\n   338→\n   339→\t\tfor {\n   340→\t\t\tselect {\n   341→\t\t\tcase <-ctx.Done():\n   342→\t\t\t\treturn\n   343→\t\t\tcase <-ticker.C:\n   344→\t\t\t\tstate.mu.Lock()\n   345→\n   346→\t\t\t\tt := time.Now().Add(-d)\n   347→\n   348→\t\t\t\tstate.lastRetentionTime = t.Unix()\n   349→\n   350→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start freeing buffers (older than %s)...\\n\", t.Format(time.RFC3339))\n   351→\n   352→\t\t\t\tfreed, err := Free(ms, t)\n   353→\t\t\t\tif err != nil {\n   354→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> freeing up buffers failed: %s\\n\", err.Error())\n   355→\t\t\t\t} else {\n   356→\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d buffers freed\\n\", freed)\n   357→\t\t\t\t}\n   358→\n   359→\t\t\t\tstate.mu.Unlock()\n   360→\n   361→\t\t\t\t// Clean up the buffer pool\n   362→\t\t\t\tbufferPool.Clean(state.lastRetentionTime)\n   363→\t\t\t}\n   364→\t\t}\n   365→\t})\n   366→}\n   367→\n   368→// MemoryUsageTracker starts a background goroutine that monitors memory usage.\n   369→//\n   370→// This worker checks actual process memory usage (via runtime.MemStats) periodically\n   371→// and force-frees buffers if memory exceeds the configured cap. It uses FreeOSMemory()\n   372→// to return memory to the OS after freeing buffers, avoiding aggressive GC that causes\n   373→// performance issues.\n   374→//\n   375→// The tracker logs both actual memory usage (heap allocated) and metric data size for\n   376→// visibility into memory overhead from Go runtime structures and allocations.\n   377→//\n   378→// Parameters:\n   379→//   - wg: WaitGroup to signal completion when context is cancelled\n   380→//   - ctx: Context for cancellation signal\n   381→//\n   382→// The goroutine exits when ctx is cancelled.\n   383→func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n   384→\tms := GetMemoryStore()\n   385→\n   386→\twg.Go(func() {\n   387→\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n   388→\t\tfastInterval := 30 * time.Second\n   389→\n   390→\t\tif normalInterval <= 0 {\n   391→\t\t\treturn\n   392→\t\t}\n   393→\n   394→\t\tticker := time.NewTicker(normalInterval)\n   395→\t\tdefer ticker.Stop()\n   396→\t\tcurrentInterval := normalInterval\n   397→\n   398→\t\tfor {\n   399→\t\t\tselect {\n   400→\t\t\tcase <-ctx.Done():\n   401→\t\t\t\treturn\n   402→\t\t\tcase <-ticker.C:\n   403→\t\t\t\tvar mem runtime.MemStats\n   404→\t\t\t\truntime.ReadMemStats(&mem)\n   405→\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n   406→\t\t\t\tmetricDataGB := ms.SizeInGB()\n   407→\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n   408→\n   409→\t\t\t\tfreedExcluded := 0\n   410→\t\t\t\tfreedEmergency := 0\n   411→\t\t\t\tvar err error\n   412→\n   413→\t\t\t\tstate.mu.RLock()\n   414→\t\t\t\tlastRetention := state.lastRetentionTime\n   415→\t\t\t\tselectorsExcluded := state.selectorsExcluded\n   416→\t\t\t\tstate.mu.RUnlock()\n   417→\n   418→\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n   419→\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)"}]},"uuid":"5b4c35c0-fc01-4022-a011-013b32741288","timestamp":"2026-03-16T10:19:09.204Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"364641d9-347b-41a2-a9db-960427401ea3","timestamp":"2026-03-16T10:19:09.403Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"364641d9-347b-41a2-a9db-960427401ea3","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:09.618Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Wb4dkjYd4jwne2EgDyvMHQ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BDMqedPDw7gCBUtiqc5Kwq","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go","offset":383,"limit":50},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":328,"cache_read_input_tokens":58729,"cache_creation":{"ephemeral_5m_input_tokens":328,"ephemeral_1h_input_tokens":0},"output_tokens":25,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b8Es9pmtCHDiNfBQfT","uuid":"68992642-791f-465b-a8aa-3025b7bb3643"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"d2f5045b-6c97-44d5-8087-6b59bd23895a","timestamp":"2026-03-16T10:19:09.618Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d2f5045b-6c97-44d5-8087-6b59bd23895a","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HN9rNbdVCqsrRSEUmmGm2d","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// This file contains job statistics and histogram generation functionality for the JobRepository.\n     7→//\n     8→// # Job Statistics\n     9→//\n    10→// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n    11→// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n    12→//   - Overall (JobsStats): Single aggregate across all matching jobs\n    13→//   - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n    14→//   - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n    15→//\n    16→// All statistics methods support filtering via JobFilter and respect security contexts.\n    17→//\n    18→// # Histograms\n    19→//\n    20→// Histogram methods generate distribution data for visualization:\n    21→//   - Duration, nodes, cores, accelerators (AddHistograms)\n    22→//   - Job metrics like CPU load, memory usage (AddMetricHistograms)\n    23→//\n    24→// Histograms use intelligent binning:\n    25→//   - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n    26→//   - Resources: Natural value-based bins\n    27→//   - Metrics: Normalized to peak values with configurable bin counts\n    28→//\n    29→// # Running vs. Completed Jobs\n    30→//\n    31→// Statistics handle running jobs specially:\n    32→//   - Duration calculated as (now - start_time) for running jobs\n    33→//   - Metric histograms for running jobs load data from metric backend instead of footprint\n    34→//   - Job state filtering distinguishes running/completed jobs\n    35→//\n    36→// # Performance Considerations\n    37→//\n    38→// - All queries use prepared statements via stmtCache\n    39→// - Complex aggregations use SQL for efficiency\n    40→// - Histogram pre-initialization ensures consistent bin ranges\n    41→// - Metric histogram queries limited to 5000 jobs for running job analysis\n    42→\n    43→package repository\n    44→\n    45→import (\n    46→\t\"context\"\n    47→\t\"database/sql\"\n    48→\t\"fmt\"\n    49→\t\"time\"\n    50→\n    51→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    52→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    53→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    54→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    55→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    56→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    57→\tsq \"github.com/Masterminds/squirrel\"\n    58→\t\"golang.org/x/sync/errgroup\"\n    59→)\n    60→\n    61→// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n    62→// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n    63→// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\n    64→var groupBy2column = map[model.Aggregate]string{\n    65→\tmodel.AggregateUser:       \"job.hpc_user\",\n    66→\tmodel.AggregateProject:    \"job.project\",\n    67→\tmodel.AggregateCluster:    \"job.cluster\",\n    68→\tmodel.AggregateSubcluster: \"job.subcluster\",\n    69→}\n    70→\n    71→// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n    72→// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n    73→// Column names match the AS aliases used in buildStatsQuery.\n    74→var sortBy2column = map[model.SortByAggregate]string{\n    75→\tmodel.SortByAggregateTotaljobs:      \"totalJobs\",\n    76→\tmodel.SortByAggregateTotalusers:     \"totalUsers\",\n    77→\tmodel.SortByAggregateTotalwalltime:  \"totalWalltime\",\n    78→\tmodel.SortByAggregateTotalnodes:     \"totalNodes\",\n    79→\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n    80→\tmodel.SortByAggregateTotalcores:     \"totalCores\",\n    81→\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n    82→\tmodel.SortByAggregateTotalaccs:      \"totalAccs\",\n    83→\tmodel.SortByAggregateTotalacchours:  \"totalAccHours\",\n    84→}\n    85→\n    86→// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n    87→//\n    88→// Parameters:\n    89→//   - filter: Job filters to apply (cluster, user, time range, etc.)\n    90→//   - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n    91→//   - col: Column name to GROUP BY; empty string for total count without grouping\n    92→//\n    93→// Returns a SelectBuilder that produces either:\n    94→//   - Single count: COUNT(job.id) when col is empty\n    95→//   - Grouped counts: col, COUNT(job.id) when col is specified\n    96→//\n    97→// The kind parameter enables counting specific job categories:\n    98→//   - \"running\": Only jobs with job_state = 'running'\n    99→//   - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n   100→//   - empty: All jobs matching filters\n   101→func (r *JobRepository) buildCountQuery(\n   102→\tfilter []*model.JobFilter,\n   103→\tkind string,\n   104→\tcol string,\n   105→) sq.SelectBuilder {\n   106→\tvar query sq.SelectBuilder\n   107→\n   108→\tif col != \"\" {\n   109→\t\tquery = sq.Select(col, \"COUNT(*)\").From(\"job\").GroupBy(col)\n   110→\t} else {\n   111→\t\tquery = sq.Select(\"COUNT(*)\").From(\"job\")\n   112→\t}\n   113→\n   114→\tswitch kind {\n   115→\tcase \"running\":\n   116→\t\tquery = query.Where(\"job.job_state = 'running'\")\n   117→\tcase \"short\":\n   118→\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n   119→\t}\n   120→\n   121→\tfor _, f := range filter {\n   122→\t\tquery = BuildWhereClause(f, query)\n   123→\t}\n   124→\n   125→\treturn query\n   126→}\n   127→\n   128→// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n   129→// Only requested columns are computed; unrequested columns select 0 as placeholder.\n   130→//\n   131→// Parameters:\n   132→//   - filter: Job filters to apply (cluster, user, time range, etc.)\n   133→//   - col: Column name to GROUP BY; empty string for overall statistics without grouping\n   134→//   - shortThreshold: Duration threshold in seconds for counting short-running jobs\n   135→//   - reqFields: Set of requested field names; nil means compute all fields\n   136→func (r *JobRepository) buildStatsQuery(\n   137→\tfilter []*model.JobFilter,\n   138→\tcol string,\n   139→\tshortThreshold int,\n   140→\treqFields map[string]bool,\n   141→) sq.SelectBuilder {\n   142→\tnow := time.Now().Unix()\n   143→\n   144→\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n   145→\tneed := func(field string) bool {\n   146→\t\treturn reqFields == nil || reqFields[field]\n   147→\t}\n   148→\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n   149→\n   150→\t// Build column list\n   151→\tcolumns := make([]string, 0, 14)\n   152→\n   153→\tif col != \"\" {\n   154→\t\tcolumns = append(columns, col)\n   155→\t}\n   156→\n   157→\tcolumns = append(columns, \"COUNT(*) as totalJobs\")\n   158→\n   159→\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n   160→\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n   161→\t} else {\n   162→\t\tcolumns = append(columns, \"0 AS totalUsers\")\n   163→\t}\n   164→\n   165→\tif need(\"totalWalltime\") {\n   166→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n   167→\t} else {\n   168→\t\tcolumns = append(columns, \"0 as totalWalltime\")\n   169→\t}\n   170→\n   171→\tif need(\"totalNodes\") {\n   172→\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n   173→\t} else {\n   174→\t\tcolumns = append(columns, \"0 as totalNodes\")\n   175→\t}\n   176→\n   177→\tif need(\"totalNodeHours\") {\n   178→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n   179→\t} else {\n   180→\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n   181→\t}\n   182→\n   183→\tif need(\"totalCores\") {\n   184→\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n   185→\t} else {\n   186→\t\tcolumns = append(columns, \"0 as totalCores\")\n   187→\t}\n   188→\n   189→\tif need(\"totalCoreHours\") {\n   190→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n   191→\t} else {\n   192→\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n   193→\t}\n   194→\n   195→\tif need(\"totalAccs\") {\n   196→\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n   197→\t} else {\n   198→\t\tcolumns = append(columns, \"0 as totalAccs\")\n   199→\t}\n   200→\n   201→\tif need(\"totalAccHours\") {\n   202→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n   203→\t} else {\n   204→\t\tcolumns = append(columns, \"0 as totalAccHours\")\n   205→\t}\n   206→\n   207→\tif need(\"runningJobs\") {\n   208→\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n   209→\t} else {\n   210→\t\tcolumns = append(columns, \"0 as runningJobs\")\n   211→\t}\n   212→\n   213→\tif need(\"shortJobs\") {\n   214→\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n   215→\t} else {\n   216→\t\tcolumns = append(columns, \"0 as shortJobs\")\n   217→\t}\n   218→\n   219→\tquery := sq.Select(columns...).From(\"job\")\n   220→\tif col != \"\" {\n   221→\t\tquery = query.GroupBy(col)\n   222→\t}\n   223→\n   224→\tfor _, f := range filter {\n   225→\t\tquery = BuildWhereClause(f, query)\n   226→\t}\n   227→\n   228→\treturn query\n   229→}\n   230→\n   231→// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n   232→// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n   233→// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\n   234→func (r *JobRepository) JobsStatsGrouped(\n   235→\tctx context.Context,\n   236→\tfilter []*model.JobFilter,\n   237→\tpage *model.PageRequest,\n   238→\tsortBy *model.SortByAggregate,\n   239→\tgroupBy *model.Aggregate,\n   240→\treqFields map[string]bool,\n   241→) ([]*model.JobsStatistics, error) {\n   242→\tcol := groupBy2column[*groupBy]\n   243→\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n   244→\n   245→\tquery, err := SecurityCheck(ctx, query)\n   246→\tif err != nil {\n   247→\t\treturn nil, err\n   248→\t}\n   249→\n   250→\tif sortBy != nil {\n   251→\t\tsortBy := sortBy2column[*sortBy]\n   252→\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n   253→\t}\n   254→\tif page != nil && page.ItemsPerPage != -1 {\n   255→\t\tlimit := uint64(page.ItemsPerPage)\n   256→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n   257→\t}\n   258→\n   259→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n   260→\tif err != nil {\n   261→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n   262→\t\treturn nil, err\n   263→\t}\n   264→\tdefer rows.Close()\n   265→\n   266→\tstats := make([]*model.JobsStatistics, 0, 100)\n   267→\n   268→\tfor rows.Next() {\n   269→\t\tvar id sql.NullString\n   270→\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n   271→\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n   272→\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n   273→\t\t\treturn nil, err\n   274→\t\t}\n   275→\n   276→\t\tif id.Valid {\n   277→\t\t\tstats = append(stats,\n   278→\t\t\t\t&model.JobsStatistics{\n   279→\t\t\t\t\tID:             id.String,\n   280→\t\t\t\t\tTotalJobs:      int(jobs.Int64),\n   281→\t\t\t\t\tTotalUsers:     int(users.Int64),\n   282→\t\t\t\t\tTotalWalltime:  int(walltime.Int64),\n   283→\t\t\t\t\tTotalNodes:     int(nodes.Int64),\n   284→\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n   285→\t\t\t\t\tTotalCores:     int(cores.Int64),\n   286→\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n   287→\t\t\t\t\tTotalAccs:      int(accs.Int64),\n   288→\t\t\t\t\tTotalAccHours:  int(accHours.Int64),\n   289→\t\t\t\t\tRunningJobs:    int(runningJobs.Int64),\n   290→\t\t\t\t\tShortJobs:      int(shortJobs.Int64),\n   291→\t\t\t\t})\n   292→\t\t}\n   293→\t}\n   294→\n   295→\tif err := rows.Err(); err != nil {\n   296→\t\treturn nil, err\n   297→\t}\n   298→\n   299→\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n   300→\tif col == \"job.hpc_user\" && len(stats) > 0 {\n   301→\t\tusernames := make([]any, len(stats))\n   302→\t\tfor i, s := range stats {\n   303→\t\t\tusernames[i] = s.ID\n   304→\t\t}\n   305→\n   306→\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n   307→\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n   308→\t\tif err != nil {\n   309→\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n   310→\t\t\t// Non-fatal: stats are still valid without display names\n   311→\t\t} else {\n   312→\t\t\tdefer nameRows.Close()\n   313→\t\t\tnameMap := make(map[string]string, len(stats))\n   314→\t\t\tfor nameRows.Next() {\n   315→\t\t\t\tvar username, name string\n   316→\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n   317→\t\t\t\t\tnameMap[username] = name\n   318→\t\t\t\t}\n   319→\t\t\t}\n   320→\t\t\tfor _, s := range stats {\n   321→\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n   322→\t\t\t\t\ts.Name = name\n   323→\t\t\t\t}\n   324→\t\t\t}\n   325→\t\t}\n   326→\t}\n   327→\n   328→\treturn stats, nil\n   329→}\n   330→\n   331→// JobsStats computes overall job statistics across all matching jobs without grouping.\n   332→//\n   333→// This method provides a single aggregate view of job metrics, useful for dashboard\n   334→// summaries and overall system utilization reports.\n   335→//\n   336→// Parameters:\n   337→//   - ctx: Context for security checks and cancellation\n   338→//   - filter: Filters to apply (time range, cluster, job state, etc.)\n   339→//\n   340→// Returns a single-element slice containing aggregate statistics:\n   341→//   - totalJobs, totalUsers, totalWalltime\n   342→//   - totalNodeHours, totalCoreHours, totalAccHours\n   343→//\n   344→// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n   345→// Security checks are applied via SecurityCheck to respect user access levels.\n   346→func (r *JobRepository) JobsStats(\n   347→\tctx context.Context,\n   348→\tfilter []*model.JobFilter,\n   349→\treqFields map[string]bool,\n   350→) ([]*model.JobsStatistics, error) {\n   351→\tstart := time.Now()\n   352→\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n   353→\tquery, err := SecurityCheck(ctx, query)\n   354→\tif err != nil {\n   355→\t\treturn nil, err\n   356→\t}\n   357→\n   358→\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n   359→\tstats := make([]*model.JobsStatistics, 0, 1)\n   360→\n   361→\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n   362→\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n   363→\t\tcclog.Warn(\"Error while scanning rows\")\n   364→\t\treturn nil, err\n   365→\t}\n   366→\n   367→\tif jobs.Valid {\n   368→\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n   369→\n   370→\t\tif nodeHours.Valid {\n   371→\t\t\ttotalNodeHours = int(nodeHours.Int64)\n   372→\t\t}\n   373→\t\tif coreHours.Valid {\n   374→\t\t\ttotalCoreHours = int(coreHours.Int64)\n   375→\t\t}\n   376→\t\tif accHours.Valid {\n   377→\t\t\ttotalAccHours = int(accHours.Int64)\n   378→\t\t}\n   379→\t\tstats = append(stats,\n   380→\t\t\t&model.JobsStatistics{\n   381→\t\t\t\tTotalJobs:      int(jobs.Int64),\n   382→\t\t\t\tTotalUsers:     int(users.Int64),\n   383→\t\t\t\tTotalWalltime:  int(walltime.Int64),\n   384→\t\t\t\tTotalNodeHours: totalNodeHours,\n   385→\t\t\t\tTotalCoreHours: totalCoreHours,\n   386→\t\t\t\tTotalAccHours:  totalAccHours,\n   387→\t\t\t\tRunningJobs:    int(runningJobs.Int64),\n   388→\t\t\t\tShortJobs:      int(shortJobs.Int64),\n   389→\t\t\t})\n   390→\t}\n   391→\n   392→\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n   393→\treturn stats, nil\n   394→}\n   395→\n   396→// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n   397→// Returns 0.0 if the metric is not found or statType is invalid.\n   398→//\n   399→// Parameters:\n   400→//   - job: Job struct with populated Statistics field\n   401→//   - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n   402→//   - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n   403→//\n   404→// Returns the requested statistic value or 0.0 if not found.\n   405→func LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n   406→\tif stats, ok := job.Statistics[metric]; ok {\n   407→\t\tswitch statType {\n   408→\t\tcase \"avg\":\n   409→\t\t\treturn stats.Avg\n   410→\t\tcase \"max\":\n   411→\t\t\treturn stats.Max\n   412→\t\tcase \"min\":\n   413→\t\t\treturn stats.Min\n   414→\t\tdefault:\n   415→\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n   416→\t\t}\n   417→\t}\n   418→\n   419→\treturn 0.0\n   420→}\n   421→\n   422→// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n   423→//\n   424→// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n   425→// avoiding the overhead of calculating walltime and resource usage metrics.\n   426→//\n   427→// Parameters:\n   428→//   - ctx: Context for security checks\n   429→//   - filter: Filters to apply\n   430→//   - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n   431→//\n   432→// Returns JobsStatistics with only ID and TotalJobs populated for each group.\n   433→func (r *JobRepository) JobCountGrouped(\n   434→\tctx context.Context,\n   435→\tfilter []*model.JobFilter,\n   436→\tgroupBy *model.Aggregate,\n   437→) ([]*model.JobsStatistics, error) {\n   438→\tstart := time.Now()\n   439→\tcol := groupBy2column[*groupBy]\n   440→\tquery := r.buildCountQuery(filter, \"\", col)\n   441→\tquery, err := SecurityCheck(ctx, query)\n   442→\tif err != nil {\n   443→\t\treturn nil, err\n   444→\t}\n   445→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n   446→\tif err != nil {\n   447→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n   448→\t\treturn nil, err\n   449→\t}\n   450→\tdefer rows.Close()\n   451→\n   452→\tstats := make([]*model.JobsStatistics, 0, 100)\n   453→\n   454→\tfor rows.Next() {\n   455→\t\tvar id sql.NullString\n   456→\t\tvar cnt sql.NullInt64\n   457→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n   458→\t\t\tcclog.Warn(\"Error while scanning rows\")\n   459→\t\t\treturn nil, err\n   460→\t\t}\n   461→\t\tif id.Valid {\n   462→\t\t\tstats = append(stats,\n   463→\t\t\t\t&model.JobsStatistics{\n   464→\t\t\t\t\tID:        id.String,\n   465→\t\t\t\t\tTotalJobs: int(cnt.Int64),\n   466→\t\t\t\t})\n   467→\t\t}\n   468→\t}\n   469→\n   470→\tif err := rows.Err(); err != nil {\n   471→\t\treturn nil, err\n   472→\t}\n   473→\n   474→\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n   475→\treturn stats, nil\n   476→}\n   477→\n   478→// AddJobCountGrouped augments existing statistics with additional job counts by category.\n   479→//\n   480→// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n   481→// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n   482→//\n   483→// Parameters:\n   484→//   - ctx: Context for security checks\n   485→//   - filter: Filters to apply\n   486→//   - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n   487→//   - stats: Existing statistics to augment (modified in-place by ID matching)\n   488→//   - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n   489→//\n   490→// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n   491→// Groups without matching jobs will have 0 for the added field.\n   492→func (r *JobRepository) AddJobCountGrouped(\n   493→\tctx context.Context,\n   494→\tfilter []*model.JobFilter,\n   495→\tgroupBy *model.Aggregate,\n   496→\tstats []*model.JobsStatistics,\n   497→\tkind string,\n   498→) ([]*model.JobsStatistics, error) {\n   499→\tstart := time.Now()\n   500→\tcol := groupBy2column[*groupBy]\n   501→\tquery := r.buildCountQuery(filter, kind, col)\n   502→\tquery, err := SecurityCheck(ctx, query)\n   503→\tif err != nil {\n   504→\t\treturn nil, err\n   505→\t}\n   506→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n   507→\tif err != nil {\n   508→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n   509→\t\treturn nil, err\n   510→\t}\n   511→\tdefer rows.Close()\n   512→\n   513→\tcounts := make(map[string]int)\n   514→\n   515→\tfor rows.Next() {\n   516→\t\tvar id sql.NullString\n   517→\t\tvar cnt sql.NullInt64\n   518→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n   519→\t\t\tcclog.Warn(\"Error while scanning rows\")\n   520→\t\t\treturn nil, err\n   521→\t\t}\n   522→\t\tif id.Valid {\n   523→\t\t\tcounts[id.String] = int(cnt.Int64)\n   524→\t\t}\n   525→\t}\n   526→\n   527→\tif err := rows.Err(); err != nil {\n   528→\t\treturn nil, err\n   529→\t}\n   530→\n   531→\tswitch kind {\n   532→\tcase \"running\":\n   533→\t\tfor _, s := range stats {\n   534→\t\t\ts.RunningJobs = counts[s.ID]\n   535→\t\t}\n   536→\tcase \"short\":\n   537→\t\tfor _, s := range stats {\n   538→\t\t\ts.ShortJobs = counts[s.ID]\n   539→\t\t}\n   540→\t}\n   541→\n   542→\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n   543→\treturn stats, nil\n   544→}\n   545→\n   546→// AddJobCount augments existing overall statistics with additional job counts by category.\n   547→//\n   548→// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n   549→// to all statistics entries (typically just one).\n   550→//\n   551→// Parameters:\n   552→//   - ctx: Context for security checks\n   553→//   - filter: Filters to apply\n   554→//   - stats: Existing statistics to augment (modified in-place)\n   555→//   - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n   556→//\n   557→// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\n   558→func (r *JobRepository) AddJobCount(\n   559→\tctx context.Context,\n   560→\tfilter []*model.JobFilter,\n   561→\tstats []*model.JobsStatistics,\n   562→\tkind string,\n   563→) ([]*model.JobsStatistics, error) {\n   564→\tstart := time.Now()\n   565→\tquery := r.buildCountQuery(filter, kind, \"\")\n   566→\tquery, err := SecurityCheck(ctx, query)\n   567→\tif err != nil {\n   568→\t\treturn nil, err\n   569→\t}\n   570→\tvar cnt sql.NullInt64\n   571→\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n   572→\t\tcclog.Warn(\"Error while querying DB for job count\")\n   573→\t\treturn nil, err\n   574→\t}\n   575→\n   576→\tcount := int(cnt.Int64)\n   577→\n   578→\tswitch kind {\n   579→\tcase \"running\":\n   580→\t\tfor _, s := range stats {\n   581→\t\t\ts.RunningJobs = count\n   582→\t\t}\n   583→\tcase \"short\":\n   584→\t\tfor _, s := range stats {\n   585→\t\t\ts.ShortJobs = count\n   586→\t\t}\n   587→\t}\n   588→\n   589→\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n   590→\treturn stats, nil\n   591→}\n   592→\n   593→// AddHistograms augments statistics with distribution histograms for job properties.\n   594→//\n   595→// Generates histogram data for visualization of job duration, node count, core count,\n   596→// and accelerator count distributions. Duration histogram uses intelligent binning based\n   597→// on the requested resolution.\n   598→//\n   599→// Parameters:\n   600→//   - ctx: Context for security checks\n   601→//   - filter: Filters to apply to jobs included in histograms\n   602→//   - stat: Statistics struct to augment (modified in-place)\n   603→//   - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n   604→//\n   605→// Populates these fields in stat:\n   606→//   - HistDuration: Job duration distribution (zero-padded bins)\n   607→//   - HistNumNodes: Node count distribution\n   608→//   - HistNumCores: Core (hwthread) count distribution\n   609→//   - HistNumAccs: Accelerator count distribution\n   610→//\n   611→// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n   612→// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\n   613→func (r *JobRepository) AddHistograms(\n   614→\tctx context.Context,\n   615→\tfilter []*model.JobFilter,\n   616→\tstat *model.JobsStatistics,\n   617→\tdurationBins *string,\n   618→) (*model.JobsStatistics, error) {\n   619→\tstart := time.Now()\n   620→\n   621→\tvar targetBinCount int\n   622→\tvar targetBinSize int\n   623→\tswitch *durationBins {\n   624→\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n   625→\t\ttargetBinCount = 60\n   626→\t\ttargetBinSize = 60\n   627→\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n   628→\t\ttargetBinCount = 72\n   629→\t\ttargetBinSize = 600\n   630→\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n   631→\t\ttargetBinCount = 48\n   632→\t\ttargetBinSize = 3600\n   633→\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n   634→\t\ttargetBinCount = 12\n   635→\t\ttargetBinSize = 21600\n   636→\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n   637→\t\ttargetBinCount = 14\n   638→\t\ttargetBinSize = 43200\n   639→\tdefault: // 24h\n   640→\t\ttargetBinCount = 24\n   641→\t\ttargetBinSize = 3600\n   642→\t}\n   643→\n   644→\t// Run all 4 histogram queries in parallel — each writes a distinct struct field.\n   645→\tg, gctx := errgroup.WithContext(ctx)\n   646→\n   647→\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n   648→\n   649→\tg.Go(func() error {\n   650→\t\tvar err error\n   651→\t\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(gctx, value, filter, targetBinSize, &targetBinCount)\n   652→\t\tif err != nil {\n   653→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n   654→\t\t}\n   655→\t\treturn err\n   656→\t})\n   657→\tg.Go(func() error {\n   658→\t\tvar err error\n   659→\t\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(gctx, \"job.num_nodes as value\", filter)\n   660→\t\tif err != nil {\n   661→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n   662→\t\t}\n   663→\t\treturn err\n   664→\t})\n   665→\tg.Go(func() error {\n   666→\t\tvar err error\n   667→\t\tstat.HistNumCores, err = r.jobsStatisticsHistogram(gctx, \"job.num_hwthreads as value\", filter)\n   668→\t\tif err != nil {\n   669→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n   670→\t\t}\n   671→\t\treturn err\n   672→\t})\n   673→\tg.Go(func() error {\n   674→\t\tvar err error\n   675→\t\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(gctx, \"job.num_acc as value\", filter)\n   676→\t\tif err != nil {\n   677→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n   678→\t\t}\n   679→\t\treturn err\n   680→\t})\n   681→\n   682→\tif err := g.Wait(); err != nil {\n   683→\t\treturn nil, err\n   684→\t}\n   685→\n   686→\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n   687→\treturn stat, nil\n   688→}\n   689→\n   690→// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n   691→//\n   692→// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n   693→// and completed jobs differently: running jobs load data from metric backend, completed jobs\n   694→// use footprint data from database.\n   695→//\n   696→// Parameters:\n   697→//   - ctx: Context for security checks\n   698→//   - filter: Filters to apply (MUST contain State filter for running jobs)\n   699→//   - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n   700→//   - stat: Statistics struct to augment (modified in-place)\n   701→//   - targetBinCount: Number of histogram bins (default: 10)\n   702→//\n   703→// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n   704→//\n   705→// Binning algorithm:\n   706→//   - Values normalized to metric's peak value from cluster configuration\n   707→//   - Bins evenly distributed from 0 to peak\n   708→//   - Pre-initialized with zeros for consistent visualization\n   709→//\n   710→// Limitations:\n   711→//   - Running jobs: Limited to 5000 jobs for performance\n   712→//   - Requires valid cluster configuration with metric peak values\n   713→//   - Uses footprint statistic (avg/max/min) configured per metric\n   714→func (r *JobRepository) AddMetricHistograms(\n   715→\tctx context.Context,\n   716→\tfilter []*model.JobFilter,\n   717→\tmetrics []string,\n   718→\tstat *model.JobsStatistics,\n   719→\ttargetBinCount *int,\n   720→) (*model.JobsStatistics, error) {\n   721→\tstart := time.Now()\n   722→\n   723→\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n   724→\tfor _, f := range filter {\n   725→\t\tif f.State != nil {\n   726→\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n   727→\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n   728→\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n   729→\t\t\t\treturn stat, nil\n   730→\t\t\t}\n   731→\t\t}\n   732→\t}\n   733→\n   734→\t// All other cases: Query and make bins in sqlite directly\n   735→\tfor _, m := range metrics {\n   736→\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n   737→\t\tif err != nil {\n   738→\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n   739→\t\t\tcontinue\n   740→\t\t}\n   741→\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n   742→\t}\n   743→\n   744→\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n   745→\treturn stat, nil\n   746→}\n   747→\n   748→// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n   749→//\n   750→// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n   751→// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n   752→//\n   753→// Parameters:\n   754→//   - value: SQL expression that produces the histogram value, aliased as \"value\"\n   755→//   - filters: Job filters to apply\n   756→//\n   757→// Returns histogram points with Value (from column) and Count (number of jobs).\n   758→func (r *JobRepository) jobsStatisticsHistogram(\n   759→\tctx context.Context,\n   760→\tvalue string,\n   761→\tfilters []*model.JobFilter,\n   762→) ([]*model.HistoPoint, error) {\n   763→\tstart := time.Now()\n   764→\tquery, qerr := SecurityCheck(ctx,\n   765→\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n   766→\n   767→\tif qerr != nil {\n   768→\t\treturn nil, qerr\n   769→\t}\n   770→\n   771→\tfor _, f := range filters {\n   772→\t\tquery = BuildWhereClause(f, query)\n   773→\t}\n   774→\n   775→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n   776→\tif err != nil {\n   777→\t\tcclog.Error(\"Error while running query\")\n   778→\t\treturn nil, err\n   779→\t}\n   780→\tdefer rows.Close()\n   781→\n   782→\tpoints := make([]*model.HistoPoint, 0)\n   783→\t// is it possible to introduce zero values here? requires info about bincount\n   784→\tfor rows.Next() {\n   785→\t\tpoint := model.HistoPoint{}\n   786→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n   787→\t\t\tcclog.Warn(\"Error while scanning rows\")\n   788→\t\t\treturn nil, err\n   789→\t\t}\n   790→\n   791→\t\tpoints = append(points, &point)\n   792→\t}\n   793→\n   794→\tif err := rows.Err(); err != nil {\n   795→\t\treturn nil, err\n   796→\t}\n   797→\n   798→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n   799→\treturn points, nil\n   800→}\n   801→\n   802→// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n   803→//\n   804→// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n   805→// histograms which only return bins with data. The value parameter should compute\n   806→// the bin number from job duration.\n   807→//\n   808→// Parameters:\n   809→//   - value: SQL expression computing bin number from duration, aliased as \"value\"\n   810→//   - filters: Job filters to apply\n   811→//   - binSizeSeconds: Width of each bin in seconds\n   812→//   - targetBinCount: Number of bins to pre-initialize\n   813→//\n   814→// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n   815→// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n   816→//\n   817→// Algorithm:\n   818→//  1. Pre-initialize targetBinCount bins with zero counts\n   819→//  2. Query database for actual counts per bin\n   820→//  3. Match query results to pre-initialized bins by value\n   821→//  4. Bins without matches remain at zero\n   822→func (r *JobRepository) jobsDurationStatisticsHistogram(\n   823→\tctx context.Context,\n   824→\tvalue string,\n   825→\tfilters []*model.JobFilter,\n   826→\tbinSizeSeconds int,\n   827→\ttargetBinCount *int,\n   828→) ([]*model.HistoPoint, error) {\n   829→\tstart := time.Now()\n   830→\tquery, qerr := SecurityCheck(ctx,\n   831→\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n   832→\n   833→\tif qerr != nil {\n   834→\t\treturn nil, qerr\n   835→\t}\n   836→\n   837→\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n   838→\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n   839→\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n   840→\tfor i := 1; i <= *targetBinCount; i++ {\n   841→\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n   842→\t\tpoints = append(points, &point)\n   843→\t}\n   844→\n   845→\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n   846→\tbinMap := make(map[int]int, len(points))\n   847→\tfor i, p := range points {\n   848→\t\tbinMap[p.Value] = i\n   849→\t}\n   850→\n   851→\tfor _, f := range filters {\n   852→\t\tquery = BuildWhereClause(f, query)\n   853→\t}\n   854→\n   855→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n   856→\tif err != nil {\n   857→\t\tcclog.Error(\"Error while running query\")\n   858→\t\treturn nil, err\n   859→\t}\n   860→\tdefer rows.Close()\n   861→\n   862→\t// Match query results to pre-initialized bins using map lookup.\n   863→\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n   864→\tfor rows.Next() {\n   865→\t\tpoint := model.HistoPoint{}\n   866→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n   867→\t\t\tcclog.Warn(\"Error while scanning rows\")\n   868→\t\t\treturn nil, err\n   869→\t\t}\n   870→\n   871→\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n   872→\t\t\tpoints[idx].Count = point.Count\n   873→\t\t}\n   874→\t}\n   875→\n   876→\tif err := rows.Err(); err != nil {\n   877→\t\treturn nil, err\n   878→\t}\n   879→\n   880→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n   881→\treturn points, nil\n   882→}\n   883→\n   884→// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n   885→//\n   886→// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n   887→// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n   888→// and computing bin assignments in SQL.\n   889→//\n   890→// Parameters:\n   891→//   - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n   892→//   - filters: Job filters to apply\n   893→//   - bins: Number of bins to generate\n   894→//\n   895→// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n   896→//\n   897→// Algorithm:\n   898→//  1. Determine peak value from cluster configuration (filtered cluster or max across all)\n   899→//  2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n   900→//  3. Pre-initialize bins with min/max ranges based on peak value\n   901→//  4. Query database for counts per bin\n   902→//  5. Match results to pre-initialized bins\n   903→//\n   904→// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n   905→// peak by 0.999999999 to avoid creating an extra bin.\n   906→func (r *JobRepository) jobsMetricStatisticsHistogram(\n   907→\tctx context.Context,\n   908→\tmetric string,\n   909→\tfilters []*model.JobFilter,\n   910→\tbins *int,\n   911→) (*model.MetricHistoPoints, error) {\n   912→\t// Peak value defines the upper bound for binning: values are distributed across\n   913→\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n   914→\t// scan all clusters to find the maximum peak value.\n   915→\tvar metricConfig *schema.MetricConfig\n   916→\tvar peak float64\n   917→\tvar unit string\n   918→\tvar footprintStat string\n   919→\n   920→\t// Try to get metric config from filtered cluster\n   921→\tfor _, f := range filters {\n   922→\t\tif f.Cluster != nil {\n   923→\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n   924→\t\t\tpeak = metricConfig.Peak\n   925→\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n   926→\t\t\tfootprintStat = metricConfig.Footprint\n   927→\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n   928→\t\t}\n   929→\t}\n   930→\n   931→\t// If no cluster filter or peak not found, find largest peak across all clusters\n   932→\t// This ensures histogram can accommodate all possible values\n   933→\tif peak == 0.0 {\n   934→\t\tfor _, c := range archive.Clusters {\n   935→\t\t\tfor _, m := range c.MetricConfig {\n   936→\t\t\t\tif m.Name == metric {\n   937→\t\t\t\t\tif m.Peak > peak {\n   938→\t\t\t\t\t\tpeak = m.Peak\n   939→\t\t\t\t\t}\n   940→\t\t\t\t\tif unit == \"\" {\n   941→\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n   942→\t\t\t\t\t}\n   943→\t\t\t\t\tif footprintStat == \"\" {\n   944→\t\t\t\t\t\tfootprintStat = m.Footprint\n   945→\t\t\t\t\t}\n   946→\t\t\t\t}\n   947→\t\t\t}\n   948→\t\t}\n   949→\t}\n   950→\n   951→\t// Construct SQL histogram bins using normalized values.\n   952→\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n   953→\tstart := time.Now()\n   954→\n   955→\t// Bin calculation formula:\n   956→\t//   bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n   957→\t// Special case: value == peak would create bin N+1, so we test for equality\n   958→\t// and multiply peak by 0.999999999 to force it into bin N.\n   959→\tbinQuery := fmt.Sprintf(`CAST(\n   960→\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n   961→\t\t* %v as INTEGER )`,\n   962→\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n   963→\n   964→\tmainQuery := sq.Select(\n   965→\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n   966→\t\t`count(*) as count`,\n   967→\t).From(\"job\").Where(\n   968→\t\t\"JSON_VALID(footprint)\",\n   969→\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n   970→\n   971→\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n   972→\tif qerr != nil {\n   973→\t\treturn nil, qerr\n   974→\t}\n   975→\n   976→\tfor _, f := range filters {\n   977→\t\tmainQuery = BuildWhereClause(f, mainQuery)\n   978→\t}\n   979→\n   980→\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n   981→\n   982→\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n   983→\tif err != nil {\n   984→\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n   985→\t\treturn nil, err\n   986→\t}\n   987→\tdefer rows.Close()\n   988→\n   989→\t// Pre-initialize bins with calculated min/max ranges.\n   990→\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n   991→\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n   992→\tbinStep := int(peak) / *bins\n   993→\tfor i := 1; i <= *bins; i++ {\n   994→\t\tbinMin := (binStep * (i - 1))\n   995→\t\tbinMax := (binStep * i)\n   996→\t\tidx := i\n   997→\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n   998→\t\tpoints = append(points, &epoint)\n   999→\t}\n  1000→\n  1001→\t// Build a map from bin number to slice index for O(1) lookup.\n  1002→\tbinMap := make(map[int]int, len(points))\n  1003→\tfor i, p := range points {\n  1004→\t\tif p.Bin != nil {\n  1005→\t\t\tbinMap[*p.Bin] = i\n  1006→\t\t}\n  1007→\t}\n  1008→\n  1009→\t// Match query results to pre-initialized bins using map lookup.\n  1010→\tfor rows.Next() {\n  1011→\t\trpoint := model.MetricHistoPoint{}\n  1012→\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n  1013→\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n  1014→\t\t\treturn nil, err\n  1015→\t\t}\n  1016→\n  1017→\t\tif rpoint.Bin != nil {\n  1018→\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n  1019→\t\t\t\tpoints[idx].Count = rpoint.Count\n  1020→\t\t\t}\n  1021→\t\t}\n  1022→\t}\n  1023→\n  1024→\tif err := rows.Err(); err != nil {\n  1025→\t\treturn nil, err\n  1026→\t}\n  1027→\n  1028→\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n  1029→\n  1030→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n  1031→\treturn &result, nil\n  1032→}\n  1033→\n  1034→// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n  1035→//\n  1036→// Unlike completed jobs which use footprint data from the database, running jobs require\n  1037→// fetching current metric averages from the metric backend (via metricdispatch).\n  1038→//\n  1039→// Parameters:\n  1040→//   - metrics: List of metric names\n  1041→//   - filters: Job filters (should filter to running jobs only)\n  1042→//   - bins: Number of histogram bins\n  1043→//\n  1044→// Returns slice of MetricHistoPoints, one per metric.\n  1045→//\n  1046→// Limitations:\n  1047→//   - Maximum 5000 jobs (returns nil if more jobs match)\n  1048→//   - Requires metric backend availability\n  1049→//   - Bins based on metric peak values from cluster configuration\n  1050→//\n  1051→// Algorithm:\n  1052→//  1. Query first 5001 jobs to check count limit\n  1053→//  2. Load metric averages for all jobs via metricdispatch\n  1054→//  3. For each metric, create bins based on peak value\n  1055→//  4. Iterate averages and count jobs per bin\n  1056→func (r *JobRepository) runningJobsMetricStatisticsHistogram(\n  1057→\tctx context.Context,\n  1058→\tmetrics []string,\n  1059→\tfilters []*model.JobFilter,\n  1060→\tbins *int,\n  1061→) []*model.MetricHistoPoints {\n  1062→\t// Get Jobs\n  1063→\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n  1064→\tif err != nil {\n  1065→\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n  1066→\t\treturn nil\n  1067→\t}\n  1068→\tif len(jobs) > 5000 {\n  1069→\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n  1070→\t\treturn nil\n  1071→\t}\n  1072→\n  1073→\t// Get AVGs from metric repo\n  1074→\tavgs := make([][]schema.Float, len(metrics))\n  1075→\tfor i := range avgs {\n  1076→\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n  1077→\t}\n  1078→\n  1079→\tfor _, job := range jobs {\n  1080→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n  1081→\t\t\tcontinue\n  1082→\t\t}\n  1083→\n  1084→\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n  1085→\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n  1086→\t\t\treturn nil\n  1087→\t\t}\n  1088→\t}\n  1089→\n  1090→\t// Iterate metrics to fill endresult\n  1091→\tdata := make([]*model.MetricHistoPoints, 0)\n  1092→\tfor idx, metric := range metrics {\n  1093→\t\t// Get specific Peak or largest Peak\n  1094→\t\tvar metricConfig *schema.MetricConfig\n  1095→\t\tvar peak float64\n  1096→\t\tvar unit string\n  1097→\n  1098→\t\tfor _, f := range filters {\n  1099→\t\t\tif f.Cluster != nil {\n  1100→\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n  1101→\t\t\t\tpeak = metricConfig.Peak\n  1102→\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n  1103→\t\t\t}\n  1104→\t\t}\n  1105→\n  1106→\t\tif peak == 0.0 {\n  1107→\t\t\tfor _, c := range archive.Clusters {\n  1108→\t\t\t\tfor _, m := range c.MetricConfig {\n  1109→\t\t\t\t\tif m.Name == metric {\n  1110→\t\t\t\t\t\tif m.Peak > peak {\n  1111→\t\t\t\t\t\t\tpeak = m.Peak\n  1112→\t\t\t\t\t\t}\n  1113→\t\t\t\t\t\tif unit == \"\" {\n  1114→\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n  1115→\t\t\t\t\t\t}\n  1116→\t\t\t\t\t}\n  1117→\t\t\t\t}\n  1118→\t\t\t}\n  1119→\t\t}\n  1120→\n  1121→\t\t// Make and fill bins\n  1122→\t\tpeakBin := int(peak) / *bins\n  1123→\n  1124→\t\tpoints := make([]*model.MetricHistoPoint, 0)\n  1125→\t\tfor b := 0; b < *bins; b++ {\n  1126→\t\t\tcount := 0\n  1127→\t\t\tbindex := b + 1\n  1128→\t\t\tbmin := peakBin * b\n  1129→\t\t\tbmax := peakBin * (b + 1)\n  1130→\n  1131→\t\t\t// Iterate AVG values for indexed metric and count for bins\n  1132→\t\t\tfor _, val := range avgs[idx] {\n  1133→\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n  1134→\t\t\t\t\tcount += 1\n  1135→\t\t\t\t}\n  1136→\t\t\t}\n  1137→\n  1138→\t\t\t// Append Bin to Metric Result Array\n  1139→\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n  1140→\t\t\tpoints = append(points, &point)\n  1141→\t\t}\n  1142→\n  1143→\t\t// Append Metric Result Array to final results array\n  1144→\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n  1145→\t\tdata = append(data, &result)\n  1146→\t}\n  1147→\n  1148→\treturn data\n  1149→}\n  1150→"}]},"uuid":"f9ec8bb1-eb87-4b8e-ba63-6c7359f1ebaf","timestamp":"2026-03-16T10:19:09.512Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"3d727ce9-207b-48f2-939d-485b96ffc617","timestamp":"2026-03-16T10:19:09.655Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"3d727ce9-207b-48f2-939d-485b96ffc617","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BDMqedPDw7gCBUtiqc5Kwq","type":"tool_result","content":"   383→func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n   384→\tms := GetMemoryStore()\n   385→\n   386→\twg.Go(func() {\n   387→\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n   388→\t\tfastInterval := 30 * time.Second\n   389→\n   390→\t\tif normalInterval <= 0 {\n   391→\t\t\treturn\n   392→\t\t}\n   393→\n   394→\t\tticker := time.NewTicker(normalInterval)\n   395→\t\tdefer ticker.Stop()\n   396→\t\tcurrentInterval := normalInterval\n   397→\n   398→\t\tfor {\n   399→\t\t\tselect {\n   400→\t\t\tcase <-ctx.Done():\n   401→\t\t\t\treturn\n   402→\t\t\tcase <-ticker.C:\n   403→\t\t\t\tvar mem runtime.MemStats\n   404→\t\t\t\truntime.ReadMemStats(&mem)\n   405→\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n   406→\t\t\t\tmetricDataGB := ms.SizeInGB()\n   407→\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n   408→\n   409→\t\t\t\tfreedExcluded := 0\n   410→\t\t\t\tfreedEmergency := 0\n   411→\t\t\t\tvar err error\n   412→\n   413→\t\t\t\tstate.mu.RLock()\n   414→\t\t\t\tlastRetention := state.lastRetentionTime\n   415→\t\t\t\tselectorsExcluded := state.selectorsExcluded\n   416→\t\t\t\tstate.mu.RUnlock()\n   417→\n   418→\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n   419→\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n   420→\t\t\t\t\tif err != nil {\n   421→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n   422→\t\t\t\t\t}\n   423→\n   424→\t\t\t\t\tif freedExcluded > 0 {\n   425→\t\t\t\t\t\tdebug.FreeOSMemory()\n   426→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n   427→\t\t\t\t\t}\n   428→\t\t\t\t}\n   429→\n   430→\t\t\t\truntime.ReadMemStats(&mem)\n   431→\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n   432→"}]},"uuid":"8afd56f5-3c74-4d80-b2d8-b38add00c409","timestamp":"2026-03-16T10:19:09.634Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"64c07368-b716-4c0d-b135-89a1e98c44fe","timestamp":"2026-03-16T10:19:09.824Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"b53bdf0a-84a1-4d2c-be34-da2fd2a75015","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Wke3q6AQfNPJfDb6aXQays","type":"tool_result","content":"   118→func WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n   119→\twg.Go(func() {\n   120→\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n   121→\t\t\treturn\n   122→\t\t}\n   123→\n   124→\t\thostFiles := make(map[string]*walFileState)\n   125→\n   126→\t\tdefer func() {\n   127→\t\t\tfor _, ws := range hostFiles {\n   128→\t\t\t\tif ws.f != nil {\n   129→\t\t\t\t\tws.w.Flush()\n   130→\t\t\t\t\tws.f.Close()\n   131→\t\t\t\t}\n   132→\t\t\t}\n   133→\t\t}()\n   134→\n   135→\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n   136→\t\t\tws, ok := hostFiles[hostDir]\n   137→\t\t\tif ok {\n   138→\t\t\t\treturn ws\n   139→\t\t\t}\n   140→\n   141→\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n   142→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n   143→\t\t\t\treturn nil\n   144→\t\t\t}\n   145→\n   146→\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n   147→\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n   148→\t\t\tif err != nil {\n   149→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n   150→\t\t\t\treturn nil\n   151→\t\t\t}\n   152→\n   153→\t\t\tw := bufio.NewWriter(f)\n   154→\n   155→\t\t\t// Write file header magic if file is new (empty).\n   156→\t\t\tinfo, err := f.Stat()\n   157→\t\t\tif err == nil && info.Size() == 0 {\n   158→\t\t\t\tvar hdr [4]byte\n   159→\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n   160→\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n   161→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n   162→\t\t\t\t\tf.Close()\n   163→\t\t\t\t\treturn nil\n   164→\t\t\t\t}\n   165→\t\t\t}\n   166→\n   167→\t\t\tws = &walFileState{f: f, w: w}\n   168→\t\t\thostFiles[hostDir] = ws\n   169→\t\t\treturn ws\n   170→\t\t}\n   171→\n   172→\t\tprocessMsg := func(msg *WALMessage) {\n   173→\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n   174→\t\t\tws := getOrOpenWAL(hostDir)\n   175→\t\t\tif ws == nil {\n   176→\t\t\t\treturn\n   177→\t\t\t}\n   178→\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n   179→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n   180→\t\t\t}\n   181→\t\t}\n   182→\n   183→\t\tprocessRotate := func(req walRotateReq) {\n   184→\t\t\tws, ok := hostFiles[req.hostDir]\n   185→\t\t\tif ok && ws.f != nil {\n   186→\t\t\t\tws.w.Flush()\n   187→\t\t\t\tws.f.Close()\n   188→\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n   189→\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n   190→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n   191→\t\t\t\t}\n   192→\t\t\t\tdelete(hostFiles, req.hostDir)\n   193→\t\t\t}\n   194→\t\t\tclose(req.done)\n   195→\t\t}\n   196→\n   197→\t\tdrain := func() {\n   198→\t\t\tfor {\n   199→\t\t\t\tselect {\n   200→\t\t\t\tcase msg, ok := <-WALMessages:\n   201→\t\t\t\t\tif !ok {\n   202→\t\t\t\t\t\treturn\n   203→\t\t\t\t\t}\n   204→\t\t\t\t\tprocessMsg(msg)\n   205→\t\t\t\tcase req := <-walRotateCh:\n   206→\t\t\t\t\tprocessRotate(req)\n   207→\t\t\t\tdefault:\n   208→\t\t\t\t\t// Flush all buffered writers after draining remaining messages.\n   209→\t\t\t\t\tfor _, ws := range hostFiles {\n   210→\t\t\t\t\t\tif ws.f != nil {\n   211→\t\t\t\t\t\t\tws.w.Flush()\n   212→\t\t\t\t\t\t}\n   213→\t\t\t\t\t}\n   214→\t\t\t\t\treturn\n   215→\t\t\t\t}\n   216→\t\t\t}\n   217→\t\t}"}]},"uuid":"bad871d2-53e5-4b7c-857d-5ca2862605c0","timestamp":"2026-03-16T10:19:09.850Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"c836fbc7-23f4-4259-aa17-5bbd308c7417","timestamp":"2026-03-16T10:19:09.858Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"42853b46-0307-4026-b9c3-cba832d977e0","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EeAXSEun1yp9HgsSEHSEkD","type":"tool_result","content":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-124-\ninternal/archiver/archiveWorker.go-125-\t\t\tstart := time.Now()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-126-\t\t\t// not using meta data, called to load JobMeta into Cache?\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-127-\t\t\t// will fail if job meta not in repository\ninternal/archiver/archiveWorker.go-128-\t\t\tif _, err := jobRepo.FetchMetadata(job); err != nil {\ninternal/archiver/archiveWorker.go-129-\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at check metadata step: %s\", *job.ID, err.Error())\ninternal/archiver/archiveWorker.go:130:\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-131-\t\t\t\tarchivePending.Done()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-132-\t\t\t\tcontinue\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-133-\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-134-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-135-\t\t\t// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-136-\t\t\t// Use shutdown context to allow cancellation\ninternal/archiver/archiveWorker.go-137-\t\t\tjobMeta, err := ArchiveJob(job, shutdownCtx)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-138-\t\t\tif err != nil {\ninternal/archiver/archiveWorker.go-139-\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at archiving job step: %s\", *job.ID, err.Error())\ninternal/archiver/archiveWorker.go:140:\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-141-\t\t\t\tarchivePending.Done()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-142-\t\t\t\tcontinue\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-143-\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-144-\ninternal/archiver/archiveWorker.go-145-\t\t\tstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-146-\ninternal/archiver/archiveWorker.go:147:\t\t\tif stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {\ninternal/archiver/archiveWorker.go-148-\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Footprint step: %s\", *job.ID, err.Error())\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-149-\t\t\t\tarchivePending.Done()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-150-\t\t\t\tcontinue\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-151-\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-152-\t\t\tif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta); err != nil {\ninternal/archiver/archiveWorker.go-153-\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Energy step: %s\", *job.ID, err.Error())\n--\ninternal/taskmanager/updateFootprintService.go-108-\t\t\t\t\t\t\t\tMax: (math.Round(max*100) / 100),\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-109-\t\t\t\t\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-110-\t\t\t\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-111-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-112-\t\t\t\t\t\t// Build Statement per Job, Add to Pending Array\ninternal/taskmanager/updateFootprintService.go-113-\t\t\t\t\t\tstmt := sq.Update(\"job\")\ninternal/taskmanager/updateFootprintService.go:114:\t\t\t\t\t\tstmt, err = jobRepo.UpdateFootprint(stmt, job)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-115-\t\t\t\t\t\tif err != nil {\ninternal/taskmanager/updateFootprintService.go-116-\t\t\t\t\t\t\tcclog.Errorf(\"update job (dbid: %d) statement build failed at footprint step: %s\", *job.ID, err.Error())\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-117-\t\t\t\t\t\t\tce++\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-118-\t\t\t\t\t\t\tcontinue\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-119-\t\t\t\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-120-\t\t\t\t\t\tstmt = stmt.Where(\"job.id = ?\", job.ID)\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-878-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-879-\ninternal/repository/job.go-880-\tcclog.Debugf(\"JobRepository.FindJobsBetween(): Return job count %d (omitTagged: %v)\", len(jobs), omitTagged)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-881-\treturn jobs, nil\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-882-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-883-\ninternal/repository/job.go:884:// UpdateMonitoringStatus updates the monitoring status for a job and invalidates its cache entries.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-885-// Cache invalidation affects both metadata and energy footprint to ensure consistency.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-886-//\ninternal/repository/job.go-887-/ Parameters:\ninternal/repository/job.go-888-/   - job: Database ID of the job to update\ninternal/repository/job.go-889-/   - monitoringStatus: New monitoring status value (see schema.MonitoringStatus constants)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-890-//\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-891-// Returns an error if the database update fails.\ninternal/repository/job.go:892:func (r *JobRepository) UpdateMonitoringStatus(job int64, monitoringStatus int32) (err error) {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-893-\t// Invalidate cache entries as monitoring status affects job state\ninternal/repository/job.go-894-\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", job))\ninternal/repository/job.go-895-\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", job))\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-896-\ninternal/repository/job.go-897-\tstmt := sq.Update(\"job\").\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-898-\t\tSet(\"monitoring_status\", monitoringStatus).\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-995-\t\treturn stmt, err\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-996-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-997-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-998-\treturn stmt.Set(\"energy_footprint\", string(rawFootprint)).Set(\"energy\", (math.Round(totalEnergy*100.0) / 100.0)), nil\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-999-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1000-\ninternal/repository/job.go:1001:// UpdateFootprint calculates and updates the performance footprint for a job.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1002-// This is called for running jobs during intermediate updates or when archiving.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1003-//\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1004-// A footprint is a summary statistic (avg/min/max) for each monitored metric.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1005-// The specific statistic type is defined in the cluster config's Footprint field.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1006-// Results are stored as JSON with keys like \"metric_avg\", \"metric_max\", etc.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1007-//\ninternal/repository/job.go-1008-/ Example: For a \"cpu_load\" metric with Footprint=\"avg\", this stores\ninternal/repository/job.go-1009-/ the average CPU load across all nodes as \"cpu_load_avg\": 85.3\ninternal/repository/job.go:1010:func (r *JobRepository) UpdateFootprint(\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1011-\tstmt sq.UpdateBuilder,\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1012-\tjobMeta *schema.Job,\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1013-) (sq.UpdateBuilder, error) {\ninternal/repository/job.go-1014-\tsc, err := archive.GetSubCluster(jobMeta.Cluster, jobMeta.SubCluster)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1015-\tif err != nil {\ninternal/repository/job.go-1016-\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())"}]},"uuid":"e5e36eaa-7900-4af3-993b-b2c8da96baac","timestamp":"2026-03-16T10:19:13.589Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"99a8aead-73dd-4955-b399-2c2034eab6cf","timestamp":"2026-03-16T10:19:13.736Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"bbf395e0-386e-4ea2-95f1-ccf1faa4adbb","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012Edqe79j7zb4bx8wAxFD93","type":"tool_result","content":"   908→// Execute runs a Squirrel UpdateBuilder statement against the database.\n   909→// This is a generic helper for executing pre-built update queries.\n   910→//\n   911→// Parameters:\n   912→//   - stmt: Squirrel UpdateBuilder with prepared update query\n   913→//\n   914→// Returns an error if the execution fails.\n   915→func (r *JobRepository) Execute(stmt sq.UpdateBuilder) error {\n   916→\tif _, err := stmt.RunWith(r.stmtCache).Exec(); err != nil {\n   917→\t\tcclog.Errorf(\"Error while executing statement: %v\", err)\n   918→\t\treturn fmt.Errorf(\"failed to execute update statement: %w\", err)\n   919→\t}\n   920→\n   921→\treturn nil\n   922→}\n   923→\n   924→// MarkArchived adds monitoring status update to an existing UpdateBuilder statement.\n   925→// This is a builder helper used when constructing multi-field update queries.\n   926→//\n   927→// Parameters:\n   928→//   - stmt: Existing UpdateBuilder to modify\n   929→//   - monitoringStatus: Monitoring status value to set\n   930→//\n   931→// Returns the modified UpdateBuilder for method chaining.\n   932→func (r *JobRepository) MarkArchived(\n   933→\tstmt sq.UpdateBuilder,\n   934→\tmonitoringStatus int32,\n   935→) sq.UpdateBuilder {\n   936→\treturn stmt.Set(\"monitoring_status\", monitoringStatus)\n   937→}\n   938→\n   939→// UpdateEnergy calculates and updates the energy consumption for a job.\n   940→// This is called for running jobs during intermediate updates or when archiving.\n   941→//\n   942→// Energy calculation formula:\n   943→//   - For \"power\" metrics: Energy (kWh) = (Power_avg * NumNodes * Duration_hours) / 1000\n   944→//   - For \"energy\" metrics: Currently not implemented (would need sum statistics)\n   945→//\n   946→// The calculation accounts for:\n   947→//   - Multi-node jobs: Multiplies by NumNodes to get total cluster energy\n   948→//   - Shared jobs: Node average is already based on partial resources, so NumNodes=1\n   949→//   - Unit conversion: Watts * hours / 1000 = kilowatt-hours (kWh)\n   950→//   - Rounding: Results rounded to 2 decimal places\n   951→func (r *JobRepository) UpdateEnergy(\n   952→\tstmt sq.UpdateBuilder,\n   953→\tjobMeta *schema.Job,\n   954→) (sq.UpdateBuilder, error) {\n   955→\tsc, err := archive.GetSubCluster(jobMeta.Cluster, jobMeta.SubCluster)\n   956→\tif err != nil {\n   957→\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())\n   958→\t\treturn stmt, err\n   959→\t}\n   960→\tenergyFootprint := make(map[string]float64)\n   961→\n   962→\t// Accumulate total energy across all energy-related metrics\n   963→\ttotalEnergy := 0.0\n   964→\tfor _, fp := range sc.EnergyFootprint {\n   965→\t\t// Calculate energy for this specific metric\n   966→\t\tmetricEnergy := 0.0\n   967→\t\tif i, err := archive.MetricIndex(sc.MetricConfig, fp); err == nil {\n   968→\t\t\tswitch sc.MetricConfig[i].Energy {\n   969→\t\t\tcase \"energy\": // Metric already in energy units (Joules or Wh)\n   970→\t\t\t\tcclog.Warnf(\"Update EnergyFootprint for Job %d and Metric %s on cluster %s: Set to 'energy' in cluster.json: Not implemented, will return 0.0\", jobMeta.JobID, jobMeta.Cluster, fp)\n   971→\t\t\t\t// FIXME: Needs sum as stats type to accumulate energy values over time\n   972→\t\t\tcase \"power\": // Metric in power units (Watts)\n   973→\t\t\t\t// Energy (kWh) = Power (W) × Time (h) / 1000\n   974→\t\t\t\t// Formula: (avg_power_per_node * num_nodes) * (duration_sec / 3600) / 1000\n   975→\t\t\t\t//\n   976→\t\t\t\t// Breakdown:\n   977→\t\t\t\t//   LoadJobStat(jobMeta, fp, \"avg\") = average power per node (W)\n   978→\t\t\t\t//   jobMeta.NumNodes = number of nodes (1 for shared jobs)\n   979→\t\t\t\t//   jobMeta.Duration / 3600.0 = duration in hours\n   980→\t\t\t\t//   / 1000.0 = convert Wh to kWh\n   981→\t\t\t\trawEnergy := ((LoadJobStat(jobMeta, fp, \"avg\") * float64(jobMeta.NumNodes)) * (float64(jobMeta.Duration) / 3600.0)) / 1000.0\n   982→\t\t\t\tmetricEnergy = math.Round(rawEnergy*100.0) / 100.0 // Round to 2 decimal places\n   983→\t\t\t}\n   984→\t\t} else {\n   985→\t\t\tcclog.Warnf(\"Error while collecting energy metric %s for job, DB ID '%v', return '0.0'\", fp, jobMeta.ID)\n   986→\t\t}\n   987→\n   988→\t\tenergyFootprint[fp] = metricEnergy\n   989→\t\ttotalEnergy += metricEnergy\n   990→\t}\n   991→\n   992→\tvar rawFootprint []byte\n   993→\tif rawFootprint, err = json.Marshal(energyFootprint); err != nil {\n   994→\t\tcclog.Warnf(\"Error while marshaling energy footprint for job INTO BYTES, DB ID '%v'\", jobMeta.ID)\n   995→\t\treturn stmt, err\n   996→\t}\n   997→\n   998→\treturn stmt.Set(\"energy_footprint\", string(rawFootprint)).Set(\"energy\", (math.Round(totalEnergy*100.0) / 100.0)), nil\n   999→}\n  1000→\n  1001→// UpdateFootprint calculates and updates the performance footprint for a job.\n  1002→// This is called for running jobs during intermediate updates or when archiving.\n  1003→//\n  1004→// A footprint is a summary statistic (avg/min/max) for each monitored metric.\n  1005→// The specific statistic type is defined in the cluster config's Footprint field.\n  1006→// Results are stored as JSON with keys like \"metric_avg\", \"metric_max\", etc.\n  1007→//"}]},"uuid":"e5673981-f132-4961-9abe-15b06319e973","timestamp":"2026-03-16T10:19:13.771Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"9674f47b-3957-4d03-ae8b-2b215b47588c","timestamp":"2026-03-16T10:19:14.016Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"9674f47b-3957-4d03-ae8b-2b215b47588c","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XmUUQ7FpkTEGodHtZ7uLAW","type":"tool_result","content":"   717→func (api *RestAPI) startJob(rw http.ResponseWriter, r *http.Request) {\n   718→\treq := schema.Job{\n   719→\t\tShared:           \"none\",\n   720→\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n   721→\t}\n   722→\tif err := decode(r.Body, &req); err != nil {\n   723→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n   724→\t\treturn\n   725→\t}\n   726→\n   727→\tcclog.Debugf(\"REST: %s\", req.GoString())\n   728→\treq.State = schema.JobStateRunning\n   729→\n   730→\tif err := importer.SanityChecks(&req); err != nil {\n   731→\t\thandleError(err, http.StatusBadRequest, rw)\n   732→\t\treturn\n   733→\t}\n   734→\n   735→\t// aquire lock to avoid race condition between API calls\n   736→\tvar unlockOnce sync.Once\n   737→\tapi.RepositoryMutex.Lock()\n   738→\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n   739→\n   740→\t// Check if combination of (job_id, cluster_id, start_time) already exists:\n   741→\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n   742→\tif err != nil && err != sql.ErrNoRows {\n   743→\t\thandleError(fmt.Errorf(\"checking for duplicate failed: %w\", err), http.StatusInternalServerError, rw)\n   744→\t\treturn\n   745→\t}\n   746→\tif err == nil {\n   747→\t\tfor _, job := range jobs {\n   748→\t\t\t// Check if jobs are within the same day (prevent duplicates)\n   749→\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n   750→\t\t\t\thandleError(fmt.Errorf(\"a job with that jobId, cluster and startTime already exists: dbid: %d, jobid: %d\", *job.ID, job.JobID), http.StatusUnprocessableEntity, rw)\n   751→\t\t\t\treturn\n   752→\t\t\t}\n   753→\t\t}\n   754→\t}\n   755→\n   756→\t// When tags are present, insert directly into the job table so that the\n   757→\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n   758→\t// Jobs without tags use the cache path as before.\n   759→\tvar id int64\n   760→\tif len(req.Tags) > 0 {\n   761→\t\tid, err = api.JobRepository.StartDirect(&req)\n   762→\t} else {\n   763→\t\tid, err = api.JobRepository.Start(&req)\n   764→\t}\n   765→\tif err != nil {\n   766→\t\thandleError(fmt.Errorf(\"insert into database failed: %w\", err), http.StatusInternalServerError, rw)\n   767→\t\treturn\n   768→\t}\n   769→\t// unlock here, adding Tags can be async\n   770→\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n   771→\n   772→\tfor _, tag := range req.Tags {\n   773→\t\tif _, err := api.JobRepository.AddTagOrCreate(repository.GetUserFromContext(r.Context()), id, tag.Type, tag.Name, tag.Scope); err != nil {\n   774→\t\t\thandleError(fmt.Errorf(\"adding tag to new job %d failed: %w\", id, err), http.StatusInternalServerError, rw)\n   775→\t\t\treturn\n   776→\t\t}\n   777→\t}\n   778→\n   779→\tcclog.Infof(\"new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\", id, req.Cluster, req.JobID, req.User, req.StartTime)\n   780→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   781→\trw.WriteHeader(http.StatusCreated)\n   782→\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{\n   783→\t\tMessage: \"success\",\n   784→\t}); err != nil {\n   785→\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n   786→\t}\n   787→}\n   788→\n   789→// stopJobByRequest godoc\n   790→// @summary     Marks job as completed and triggers archiving\n   791→// @tags Job add and modify\n   792→// @description Job to stop is specified by request body. All fields are required in this case.\n   793→// @description Returns full job resource information according to 'Job' scheme.\n   794→// @produce     json\n   795→// @param       request body     api.StopJobAPIRequest true \"All fields required\"\n   796→// @success     200     {object} schema.Job                 \"Success message\"\n   797→// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n   798→// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n   799→// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n   800→// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n   801→// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: job has already been stopped\"\n   802→// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n   803→// @security    ApiKeyAuth\n   804→// @router      /api/jobs/stop_job/ [post]\n   805→func (api *RestAPI) stopJobByRequest(rw http.ResponseWriter, r *http.Request) {\n   806→\t// Parse request body\n   807→\treq := StopJobAPIRequest{}\n   808→\tif err := decode(r.Body, &req); err != nil {\n   809→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n   810→\t\treturn\n   811→\t}\n   812→\n   813→\t// Fetch job (that will be stopped) from db\n   814→\tvar job *schema.Job\n   815→\tvar err error\n   816→\tif req.JobID == nil {"}]},"uuid":"a274be55-d640-456c-9e22-e782ce31fc30","timestamp":"2026-03-16T10:19:14.003Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"eedddb18-4742-4003-a973-e48465fa8814","timestamp":"2026-03-16T10:19:14.246Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"042c6cc4-6ff0-4a8f-b2e1-9aac1fae03a7","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KxgnFecKv137Seew4smC9q","type":"tool_result","content":"   805→func (api *RestAPI) stopJobByRequest(rw http.ResponseWriter, r *http.Request) {\n   806→\t// Parse request body\n   807→\treq := StopJobAPIRequest{}\n   808→\tif err := decode(r.Body, &req); err != nil {\n   809→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n   810→\t\treturn\n   811→\t}\n   812→\n   813→\t// Fetch job (that will be stopped) from db\n   814→\tvar job *schema.Job\n   815→\tvar err error\n   816→\tif req.JobID == nil {\n   817→\t\thandleError(errors.New(\"the field 'jobId' is required\"), http.StatusBadRequest, rw)\n   818→\t\treturn\n   819→\t}\n   820→\n   821→\tisCached := false\n   822→\tjob, err = api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n   823→\tif err != nil {\n   824→\t\t// Not in cache, try main job table\n   825→\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n   826→\t\tif err != nil {\n   827→\t\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n   828→\t\t\treturn\n   829→\t\t}\n   830→\t} else {\n   831→\t\tisCached = true\n   832→\t}\n   833→\n   834→\tapi.checkAndHandleStopJob(rw, job, req, isCached)\n   835→}\n   836→\n   837→// deleteJobByID godoc\n   838→// @summary     Remove a job from the sql database\n   839→// @tags Job remove\n   840→// @description Job to remove is specified by database ID. This will not remove the job from the job archive.\n   841→// @produce     json\n   842→// @param       id      path     int                   true \"Database ID of Job\"\n   843→// @success     200     {object} api.DefaultAPIResponse  \"Success message\"\n   844→// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n   845→// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n   846→// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n   847→// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n   848→// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n   849→// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n   850→// @security    ApiKeyAuth\n   851→// @router      /api/jobs/delete_job/{id} [delete]\n   852→func (api *RestAPI) deleteJobByID(rw http.ResponseWriter, r *http.Request) {\n   853→\t// Fetch job (that will be stopped) from db\n   854→\tid := chi.URLParam(r, \"id\")"}]},"uuid":"1004fea2-e9da-4776-b7a7-1d7d31a5018a","timestamp":"2026-03-16T10:19:14.465Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"23bed1a2-0a41-41a5-9e93-b9fa409a1897","timestamp":"2026-03-16T10:19:14.559Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"23bed1a2-0a41-41a5-9e93-b9fa409a1897","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:14.606Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01BB18wmZ2KzJpBXtTRnEhmB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01YPm1XWAYm7q64GnUsS7kUE","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go","limit":100},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":555,"cache_read_input_tokens":62950,"cache_creation":{"ephemeral_5m_input_tokens":555,"ephemeral_1h_input_tokens":0},"output_tokens":18,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b8aA1sSE1o1UFr8AUY","uuid":"f58dec96-e4dd-4426-9035-537ce3c08a7d"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"9ecf8df0-848c-4c86-b10d-95aa4960df11","timestamp":"2026-03-16T10:19:14.606Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"9ecf8df0-848c-4c86-b10d-95aa4960df11","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YPm1XWAYm7q64GnUsS7kUE","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"fmt\"\n    10→\t\"maps\"\n    11→\t\"net/http\"\n    12→\t\"strings\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→)\n    22→\n    23→type UpdateNodeStatesRequest struct {\n    24→\tNodes   []schema.NodePayload `json:\"nodes\"`\n    25→\tCluster string               `json:\"cluster\" example:\"fritz\"`\n    26→}\n    27→\n    28→// metricListToNames converts a map of metric configurations to a list of metric names\n    29→func metricListToNames(metricList map[string]*schema.Metric) []string {\n    30→\tnames := make([]string, 0, len(metricList))\n    31→\tfor name := range metricList {\n    32→\t\tnames = append(names, name)\n    33→\t}\n    34→\treturn names\n    35→}\n    36→\n    37→// this routine assumes that only one of them exists per node\n    38→func determineState(states []string) schema.SchedulerState {\n    39→\tfor _, state := range states {\n    40→\t\tswitch strings.ToLower(state) {\n    41→\t\tcase \"allocated\":\n    42→\t\t\treturn schema.NodeStateAllocated\n    43→\t\tcase \"reserved\":\n    44→\t\t\treturn schema.NodeStateReserved\n    45→\t\tcase \"idle\":\n    46→\t\t\treturn schema.NodeStateIdle\n    47→\t\tcase \"down\":\n    48→\t\t\treturn schema.NodeStateDown\n    49→\t\tcase \"mixed\":\n    50→\t\t\treturn schema.NodeStateMixed\n    51→\t\t}\n    52→\t}\n    53→\n    54→\treturn schema.NodeStateUnknown\n    55→}\n    56→\n    57→// updateNodeStates godoc\n    58→// @summary     Deliver updated Slurm node states\n    59→// @tags Nodestates\n    60→// @description Returns a JSON-encoded list of users.\n    61→// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n    62→// @produce     json\n    63→// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n    64→// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n    65→// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n    66→// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n    67→// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n    68→// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n    69→// @security    ApiKeyAuth\n    70→// @router      /api/nodestats/ [post]\n    71→func (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n    72→\t// Parse request body\n    73→\treq := UpdateNodeStatesRequest{}\n    74→\tif err := decode(r.Body, &req); err != nil {\n    75→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n    76→\t\t\thttp.StatusBadRequest, rw)\n    77→\t\treturn\n    78→\t}\n    79→\trequestReceived := time.Now().Unix()\n    80→\trepo := repository.GetNodeRepository()\n    81→\n    82→\tm := make(map[string][]string)\n    83→\tmetricNames := make(map[string][]string)\n    84→\thealthResults := make(map[string]metricstore.HealthCheckResult)\n    85→\n    86→\tstartMs := time.Now()\n    87→\n    88→\t// Step 1: Build nodeList and metricList per subcluster\n    89→\tfor _, node := range req.Nodes {\n    90→\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n    91→\t\t\tm[sc] = append(m[sc], node.Hostname)\n    92→\t\t}\n    93→\t}\n    94→\n    95→\tfor sc := range m {\n    96→\t\tif sc != \"\" {\n    97→\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n    98→\t\t\tmetricNames[sc] = metricListToNames(metricList)\n    99→\t\t}\n   100→\t}"}]},"uuid":"085bc42c-e966-4db3-a9ee-dd5f0a17f0b2","timestamp":"2026-03-16T10:19:14.612Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"1bca4a0e-a37e-45cd-b75c-7472d13fb965","timestamp":"2026-03-16T10:19:14.616Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"1bca4a0e-a37e-45cd-b75c-7472d13fb965","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:15.708Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01CXmzugVGwb8E2Zu2pgwpTF","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FP9cGEWnLxaPiP3u4xSNdP","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":2094,"cache_read_input_tokens":68339,"cache_creation":{"ephemeral_5m_input_tokens":2094,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b8hKsn3iYxBBtGYFJX","uuid":"b0ab6579-85df-4bb4-97a3-7052f0e1cb3d"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"7821a38c-2891-4b0b-a7bb-20af92e3eacd","timestamp":"2026-03-16T10:19:15.709Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"7821a38c-2891-4b0b-a7bb-20af92e3eacd","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FP9cGEWnLxaPiP3u4xSNdP","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"database/sql\"\n    10→\t\"encoding/json\"\n    11→\t\"strings\"\n    12→\t\"sync\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n    21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n    23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    24→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n    25→)\n    26→\n    27→// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n    28→// It mirrors the functionality of the REST API but uses NATS messaging with\n    29→// InfluxDB line protocol as the message format.\n    30→//\n    31→// # Message Format\n    32→//\n    33→// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n    34→// with the following structure:\n    35→//\n    36→//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n    37→//\n    38→// # Job Events\n    39→//\n    40→// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n    41→//\n    42→//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n    43→//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n    44→//\n    45→// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n    46→//\n    47→// Example job start message:\n    48→//\n    49→//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n    50→//\n    51→// # Node State Events\n    52→//\n    53→// Node state updates use the \"nodestate\" measurement with cluster information:\n    54→//\n    55→//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n    56→//\n    57→// The JSON payload follows the UpdateNodeStatesRequest structure.\n    58→//\n    59→// Example node state message:\n    60→//\n    61→//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\n    62→type NatsAPI struct {\n    63→\tJobRepository *repository.JobRepository\n    64→\t// RepositoryMutex protects job creation operations from race conditions\n    65→\t// when checking for duplicate jobs during startJob calls.\n    66→\tRepositoryMutex sync.Mutex\n    67→\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n    68→\t// when the database is under contention.\n    69→\tjobSem chan struct{}\n    70→\t// nodeSem limits concurrent NATS node state processing.\n    71→\tnodeSem chan struct{}\n    72→}\n    73→\n    74→// NewNatsAPI creates a new NatsAPI instance with default dependencies.\n    75→func NewNatsAPI() *NatsAPI {\n    76→\treturn &NatsAPI{\n    77→\t\tJobRepository: repository.GetJobRepository(),\n    78→\t\tjobSem:        make(chan struct{}, 8),\n    79→\t\tnodeSem:       make(chan struct{}, 2),\n    80→\t}\n    81→}\n    82→\n    83→// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n    84→// Returns an error if the NATS client is not available or subscription fails.\n    85→func (api *NatsAPI) StartSubscriptions() error {\n    86→\tclient := nats.GetClient()\n    87→\tif client == nil {\n    88→\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n    89→\t\treturn nil\n    90→\t}\n    91→\n    92→\tif config.Keys.APISubjects != nil {\n    93→\n    94→\t\ts := config.Keys.APISubjects\n    95→\n    96→\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n    97→\t\t\treturn err\n    98→\t\t}\n    99→\n   100→\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n   101→\t\t\treturn err\n   102→\t\t}\n   103→\n   104→\t\tcclog.Info(\"NATS API subscriptions started\")\n   105→\t}\n   106→\treturn nil\n   107→}\n   108→\n   109→// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n   110→// Validates that required tags and fields are present before processing.\n   111→func (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n   112→\tfunction, ok := msg.GetTag(\"function\")\n   113→\tif !ok {\n   114→\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n   115→\t\treturn\n   116→\t}\n   117→\n   118→\tswitch function {\n   119→\tcase \"start_job\":\n   120→\t\tv, ok := msg.GetEventValue()\n   121→\t\tif !ok {\n   122→\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n   123→\t\t\treturn\n   124→\t\t}\n   125→\t\tapi.handleStartJob(v)\n   126→\n   127→\tcase \"stop_job\":\n   128→\t\tv, ok := msg.GetEventValue()\n   129→\t\tif !ok {\n   130→\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n   131→\t\t\treturn\n   132→\t\t}\n   133→\t\tapi.handleStopJob(v)\n   134→\n   135→\tdefault:\n   136→\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n   137→\t}\n   138→}\n   139→\n   140→// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n   141→// The message must be in line protocol format with measurement=\"job\" and include:\n   142→//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n   143→//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n   144→//\n   145→// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\n   146→func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n   147→\tapi.jobSem <- struct{}{}\n   148→\tdefer func() { <-api.jobSem }()\n   149→\n   150→\tif len(data) == 0 {"}]},"uuid":"86fde437-b528-499c-a1d7-5fa79121d4a3","timestamp":"2026-03-16T10:19:15.717Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"10db13cc-82fa-4994-9a75-e267b3ebaf1a","timestamp":"2026-03-16T10:19:15.867Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"8cd10b6f-eaf8-4eb3-ad75-c9533683b391","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CGZx3Tcha15fXatnAhrEZW","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"database/sql\"\n    10→\t\"encoding/json\"\n    11→\t\"strings\"\n    12→\t\"sync\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n    21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n    23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    24→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n    25→)\n    26→\n    27→// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n    28→// It mirrors the functionality of the REST API but uses NATS messaging with\n    29→// InfluxDB line protocol as the message format.\n    30→//\n    31→// # Message Format\n    32→//\n    33→// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n    34→// with the following structure:\n    35→//\n    36→//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n    37→//\n    38→// # Job Events\n    39→//\n    40→// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n    41→//\n    42→//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n    43→//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n    44→//\n    45→// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n    46→//\n    47→// Example job start message:\n    48→//\n    49→//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n    50→//\n    51→// # Node State Events\n    52→//\n    53→// Node state updates use the \"nodestate\" measurement with cluster information:\n    54→//\n    55→//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n    56→//\n    57→// The JSON payload follows the UpdateNodeStatesRequest structure.\n    58→//\n    59→// Example node state message:\n    60→//\n    61→//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\n    62→type NatsAPI struct {\n    63→\tJobRepository *repository.JobRepository\n    64→\t// RepositoryMutex protects job creation operations from race conditions\n    65→\t// when checking for duplicate jobs during startJob calls.\n    66→\tRepositoryMutex sync.Mutex\n    67→\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n    68→\t// when the database is under contention.\n    69→\tjobSem chan struct{}\n    70→\t// nodeSem limits concurrent NATS node state processing.\n    71→\tnodeSem chan struct{}\n    72→}\n    73→\n    74→// NewNatsAPI creates a new NatsAPI instance with default dependencies.\n    75→func NewNatsAPI() *NatsAPI {\n    76→\treturn &NatsAPI{\n    77→\t\tJobRepository: repository.GetJobRepository(),\n    78→\t\tjobSem:        make(chan struct{}, 8),\n    79→\t\tnodeSem:       make(chan struct{}, 2),\n    80→\t}\n    81→}\n    82→\n    83→// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n    84→// Returns an error if the NATS client is not available or subscription fails.\n    85→func (api *NatsAPI) StartSubscriptions() error {\n    86→\tclient := nats.GetClient()\n    87→\tif client == nil {\n    88→\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n    89→\t\treturn nil\n    90→\t}\n    91→\n    92→\tif config.Keys.APISubjects != nil {\n    93→\n    94→\t\ts := config.Keys.APISubjects\n    95→\n    96→\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n    97→\t\t\treturn err\n    98→\t\t}\n    99→\n   100→\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n   101→\t\t\treturn err\n   102→\t\t}\n   103→\n   104→\t\tcclog.Info(\"NATS API subscriptions started\")\n   105→\t}\n   106→\treturn nil\n   107→}\n   108→\n   109→// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n   110→// Validates that required tags and fields are present before processing.\n   111→func (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n   112→\tfunction, ok := msg.GetTag(\"function\")\n   113→\tif !ok {\n   114→\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n   115→\t\treturn\n   116→\t}\n   117→\n   118→\tswitch function {\n   119→\tcase \"start_job\":\n   120→\t\tv, ok := msg.GetEventValue()\n   121→\t\tif !ok {\n   122→\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n   123→\t\t\treturn\n   124→\t\t}\n   125→\t\tapi.handleStartJob(v)\n   126→\n   127→\tcase \"stop_job\":\n   128→\t\tv, ok := msg.GetEventValue()\n   129→\t\tif !ok {\n   130→\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n   131→\t\t\treturn\n   132→\t\t}\n   133→\t\tapi.handleStopJob(v)\n   134→\n   135→\tdefault:\n   136→\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n   137→\t}\n   138→}\n   139→\n   140→// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n   141→// The message must be in line protocol format with measurement=\"job\" and include:\n   142→//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n   143→//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n   144→//\n   145→// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\n   146→func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n   147→\tapi.jobSem <- struct{}{}\n   148→\tdefer func() { <-api.jobSem }()\n   149→\n   150→\tif len(data) == 0 {"}]},"uuid":"187897f4-6a9a-44cb-ad1f-d7a698c576a8","timestamp":"2026-03-16T10:19:16.416Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"678f1bdf-2c96-4b0e-90c6-e66435e0bb0a","timestamp":"2026-03-16T10:19:16.419Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"d8731946-abff-4cfa-a1e9-76475a1b2d16","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016H5RJKfCjDuuicn8ZMGcPE","type":"tool_result","content":"   165→// AddTagsToJob is the resolver for the addTagsToJob field.\n   166→func (r *mutationResolver) AddTagsToJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n   167→\tuser := repository.GetUserFromContext(ctx)\n   168→\tif user == nil {\n   169→\t\treturn nil, fmt.Errorf(\"no user in context\")\n   170→\t}\n   171→\n   172→\tjid, err := strconv.ParseInt(job, 10, 64)\n   173→\tif err != nil {\n   174→\t\tcclog.Warn(\"Error while adding tag to job\")\n   175→\t\treturn nil, err\n   176→\t}\n   177→\n   178→\ttags := []*schema.Tag{}\n   179→\tfor _, tagID := range tagIds {\n   180→\t\t// Get ID\n   181→\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n   182→\t\tif err != nil {\n   183→\t\t\tcclog.Warn(\"Error while parsing tag id\")\n   184→\t\t\treturn nil, err\n   185→\t\t}\n   186→\n   187→\t\t// Test Exists\n   188→\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n   189→\t\tif !exists {\n   190→\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n   191→\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n   192→\t\t}\n   193→\n   194→\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n   195→\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n   196→\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n   197→\t\t\tuser.Username == tscope {\n   198→\t\t\t// Add to Job\n   199→\t\t\tif tags, err = r.Repo.AddTag(user, jid, tid); err != nil {\n   200→\t\t\t\tcclog.Warn(\"Error while adding tag\")\n   201→\t\t\t\treturn nil, err\n   202→\t\t\t}\n   203→\t\t} else {\n   204→\t\t\tcclog.Warnf(\"Not authorized to add tag: %d\", tid)\n   205→\t\t\treturn nil, fmt.Errorf(\"not authorized to add tag: %d\", tid)\n   206→\t\t}\n   207→\t}\n   208→\n   209→\treturn tags, nil\n   210→}\n   211→\n   212→// RemoveTagsFromJob is the resolver for the removeTagsFromJob field.\n   213→func (r *mutationResolver) RemoveTagsFromJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n   214→\tuser := repository.GetUserFromContext(ctx)\n   215→\tif user == nil {\n   216→\t\treturn nil, fmt.Errorf(\"no user in context\")\n   217→\t}\n   218→\n   219→\tjid, err := strconv.ParseInt(job, 10, 64)\n   220→\tif err != nil {\n   221→\t\tcclog.Warn(\"Error while parsing job id\")\n   222→\t\treturn nil, err\n   223→\t}\n   224→\n   225→\ttags := []*schema.Tag{}\n   226→\tfor _, tagID := range tagIds {\n   227→\t\t// Get ID\n   228→\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n   229→\t\tif err != nil {\n   230→\t\t\tcclog.Warn(\"Error while parsing tag id\")\n   231→\t\t\treturn nil, err\n   232→\t\t}\n   233→\n   234→\t\t// Test Exists\n   235→\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n   236→\t\tif !exists {\n   237→\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n   238→\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n   239→\t\t}\n   240→\n   241→\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n   242→\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n   243→\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n   244→\t\t\tuser.Username == tscope {\n   245→\t\t\t// Remove from Job\n   246→\t\t\tif tags, err = r.Repo.RemoveTag(user, jid, tid); err != nil {\n   247→\t\t\t\tcclog.Warn(\"Error while removing tag\")\n   248→\t\t\t\treturn nil, err\n   249→\t\t\t}\n   250→\t\t} else {\n   251→\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n   252→\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n   253→\t\t}\n   254→\n   255→\t}\n   256→\n   257→\treturn tags, nil\n   258→}\n   259→\n   260→// RemoveTagFromList is the resolver for the removeTagFromList field.\n   261→func (r *mutationResolver) RemoveTagFromList(ctx context.Context, tagIds []string) ([]int, error) {\n   262→\t// Needs Contextuser\n   263→\tuser := repository.GetUserFromContext(ctx)\n   264→\tif user == nil {\n   265→\t\treturn nil, fmt.Errorf(\"no user in context\")\n   266→\t}\n   267→\n   268→\ttags := []int{}\n   269→\tfor _, tagID := range tagIds {\n   270→\t\t// Get ID\n   271→\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n   272→\t\tif err != nil {\n   273→\t\t\tcclog.Warn(\"Error while parsing tag id for removal\")\n   274→\t\t\treturn nil, err\n   275→\t\t}\n   276→\n   277→\t\t// Test Exists\n   278→\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n   279→\t\tif !exists {\n   280→\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n   281→\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n   282→\t\t}\n   283→\n   284→\t\t// Test Access: Admins && Admin Tag OR Everyone && Private Tag\n   285→\t\tif user.HasRole(schema.RoleAdmin) && (tscope == \"global\" || tscope == \"admin\") || user.Username == tscope {\n   286→\t\t\t// Remove from DB\n   287→\t\t\tif err = r.Repo.RemoveTagByID(tid); err != nil {\n   288→\t\t\t\tcclog.Warn(\"Error while removing tag\")\n   289→\t\t\t\treturn nil, err\n   290→\t\t\t} else {\n   291→\t\t\t\ttags = append(tags, int(tid))\n   292→\t\t\t}\n   293→\t\t} else {\n   294→\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n   295→\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n   296→\t\t}\n   297→\t}\n   298→\treturn tags, nil\n   299→}\n   300→\n   301→// UpdateConfiguration is the resolver for the updateConfiguration field.\n   302→func (r *mutationResolver) UpdateConfiguration(ctx context.Context, name string, value string) (*string, error) {\n   303→\tif err := repository.GetUserCfgRepo().UpdateConfig(name, value, repository.GetUserFromContext(ctx)); err != nil {\n   304→\t\tcclog.Warn(\"Error while updating user config\")\n   305→\t\treturn nil, err\n   306→\t}\n   307→\n   308→\treturn nil, nil\n   309→}\n   310→\n   311→// ID is the resolver for the id field.\n   312→func (r *nodeResolver) ID(ctx context.Context, obj *schema.Node) (string, error) {\n   313→\tpanic(fmt.Errorf(\"not implemented: ID - id\"))\n   314→}"}]},"uuid":"5250fa07-2887-48b4-940d-7cb00ada80f1","timestamp":"2026-03-16T10:19:20.202Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"3130ba5c-0b2b-40fe-b363-9c01afe8b031","timestamp":"2026-03-16T10:19:20.240Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"be9edc37-8b94-42c3-a207-56a1de047ced","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","type":"tool_result","content":[{"type":"text","text":"Perfect. Now I have enough information to provide a comprehensive analysis. Let me compile my findings:\n\n## DB Write Patterns Analysis - ClusterCockpit cc-backend\n\nBased on my thorough exploration of the codebase, I've identified several DB write patterns and opportunities for transaction-based optimization. Here's my detailed analysis:\n\n---\n\n## 1. TAG OPERATIONS - HIGH TRANSACTION OPPORTUNITY\n\n### Pattern: AddTagOrCreate (Internal/repository/tags.go:424)\nWhen adding tags to a job with multiple tags, each tag operation is **separate and non-transactional**:\n\n```\nstartJob() → for each tag {\n  → TagID lookup (SELECT)\n  → CreateTag (INSERT) if missing\n  → AddTag (INSERT into jobtag)\n  → GetTags (SELECT)\n  → archive.UpdateTags() (file write)\n}\n```\n\n**Current Issues:**\n- **Line 760-777** in `/internal/api/job.go`: When startJob is called with `req.Tags`, each tag is added individually via `AddTagOrCreate()` inside a loop\n- **Line 570-583** in `/internal/api/job.go`: tagJob endpoint adds multiple tags one-by-one with individual archive updates\n- **Lines 165-210** in `/internal/graph/schema.resolvers.go`: GraphQL AddTagsToJob loops through tag IDs, calling `AddTag()` for each without batching\n\n**Batch Potential:** ⭐⭐⭐⭐⭐ **HIGHEST**\n- A job with 5 tags = 5 separate transactions (INSERT + SELECT + archive write)\n- Could be batched into single transaction: 1 INSERT many jobtag + 1 archive write\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go`\n\n**addJobTag() helper (line 398):** Performs 3 operations per tag:\n1. INSERT into jobtag\n2. SELECT tags\n3. archive.UpdateTags() (file I/O)\n\n**AddTagOrCreate() (line 424):** Chains multiple operations:\n1. TagID lookup\n2. CreateTag if missing (conditional INSERT)\n3. AddTag (calls addJobTag, which does 3 more ops)\n\n---\n\n## 2. JOB ARCHIVING WRITES - MODERATE TRANSACTION OPPORTUNITY\n\n### Pattern: Archiving Workflow (archiveWorker in /internal/archiver/archiveWorker.go)\n\nWhen a job is archived, **3-4 separate UPDATE statements** execute sequentially:\n\n```\narchivingWorker() → for job in archiveChannel {\n  → FetchMetadata (SELECT)\n  → ArchiveJob() (file writes + calculations)\n  → UpdateFootprint (UPDATE)\n  → UpdateEnergy (UPDATE)  \n  → MarkArchived (UPDATE)\n  → Execute(stmt) (single UPDATE with 3 SET clauses)\n  → CallJobStopHooks()\n}\n```\n\n**Current Issues:**\n- **Lines 145-159** in `/internal/archiver/archiveWorker.go`: Three separate `.Set()` calls chained together but executed as ONE statement via `jobRepo.Execute(stmt)`\n- Actually **GOOD**: The code chains multiple SET operations into a single UPDATE via Squirrel builder pattern\n- However, the statement is still a single UPDATE - could be a transaction for safety\n\n**Transaction Benefit:** ⭐⭐⭐ **MODERATE**\n- Currently chains SETs into one UPDATE (good)\n- Could add transaction wrapper for atomicity guarantee\n- Already uses statement builder pattern to combine updates\n\n### Key Files:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go:145-163`\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:908-999` (UpdateEnergy, UpdateFootprint, MarkArchived, Execute)\n\n---\n\n## 3. JOB IMPORT/RESTORE - HIGH TRANSACTION OPPORTUNITY\n\n### Pattern: HandleImportFlag (internal/importer/handleImport.go:38)\n\nImports job metadata + tags without batching:\n\n```\nHandleImportFlag(flag) → for each job in flag {\n  → Read JSON files\n  → archive.ImportJob() (file write)\n  → InsertJobDirect (INSERT)\n  → for each tag in job.Tags {\n    → ImportTag() (SELECT + INSERT per tag)\n  }\n}\n```\n\n**Current Issues:**\n- **Lines 105-116** in `/internal/importer/handleImport.go`: \n  - 1 job INSERT per job\n  - N tag operations (SELECT + INSERT) per job\n  - No transaction wrapping job + all its tags\n  \n**Batch Potential:** ⭐⭐⭐⭐⭐ **HIGHEST**\n- If importing 100 jobs with 3 tags each = 100 INSERTs + 300 tag lookups/inserts\n- Could batch into transaction: INSERT 100 jobs + 300 tag associations in single txn\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go:111-116`\n\n---\n\n## 4. JOB CACHE TO MAIN TABLE TRANSFER - IDENTIFIED ISSUE\n\n### Pattern: TransferCachedJobToMain (internal/repository/jobCreate.go:143)\n\n**EXACT ISSUE YOU MENTIONED:**\n\n```go\n// TransferCachedJobToMain - Lines 143-162\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n    res, err := r.DB.Exec(\n        \"INSERT INTO job ... SELECT ... FROM job_cache WHERE id = ?\", cacheID)\n    if err != nil { return 0, ... }\n    \n    newID, err := res.LastInsertId()\n    if err != nil { return 0, ... }\n    \n    _, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)  // SEPARATE OPERATION\n    if err != nil { return 0, ... }\n    \n    return newID, nil\n}\n```\n\n**Issue:** ⚠️ **TWO SEPARATE EXEC CALLS**\n- Line 144-146: INSERT\n- Line 156: DELETE\n- No transaction wrapping both operations\n- **Risk:** If DELETE fails, job orphaned in main table and cache\n\n**Transaction Fix:** Wrap both operations in `tx.Beginx()` / `tx.Commit()`\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go:143-162`\n\n---\n\n## 5. JOB STOP WORKFLOW - MILD CONSOLIDATION OPPORTUNITY\n\n### Pattern: stopJobByRequest (internal/api/job.go:805)\n\nCalls `checkAndHandleStopJob()` which likely:\n1. Updates job state (Stop)\n2. Transfers from cache to main table (INSERT + DELETE as shown above)\n3. Triggers archiving\n\n**Issue:** Multiple separate repository calls that could be transactional\n\n### Key Files:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go:805-835`\n- The actual logic is in `checkAndHandleStopJob()` - would need to read that\n\n---\n\n## 6. TAG REMOVAL - DISTRIBUTED WRITES\n\n### Pattern: RemoveTagByID (internal/repository/tags.go:216)\n\n```go\n// RemoveTagByID - Lines 216-244\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n    jobIds, err := r.FindJobIdsByTag(tagID)  // SELECT all job IDs\n    \n    qJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n    if _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil { ... }\n    \n    qTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n    if _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil { ... }\n    \n    go r.removeTagFromArchiveJobs(jobIds)  // ASYNC goroutine\n    \n    return nil\n}\n```\n\n**Issues:**\n- **2 separate DELETE statements** (jobtag, then tag)\n- Could be 1 transaction\n- Archive updates run **asynchronously in goroutine** (line 241)\n- **Lines 183-199** show async archive updates without error handling\n\n**Transaction Opportunity:** ⭐⭐⭐ **MODERATE**\n- Can wrap 2 DELETEs in single transaction\n\n### Key Files:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go:216-244`\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go:183-199`\n\n---\n\n## 7. GRAPHQL TAG MUTATIONS - LOOP-BASED WRITES\n\n### Pattern: AddTagsToJob, RemoveTagsFromJob (internal/graph/schema.resolvers.go:166, 213)\n\n**Lines 179-207** and **Lines 226-255**:\n```go\nfor _, tagID := range tagIds {\n    // Lookup tag\n    _, _, tscope, exists := r.Repo.TagInfo(tid)\n    // Authorization check\n    // Add/Remove\n    if tags, err = r.Repo.AddTag(...); err != nil { ... }\n}\n```\n\n**Issue:**\n- **Loop per tag** with individual `AddTag()` or `RemoveTag()` calls\n- 5 tags = 5 separate database transactions with archive updates\n- Could batch into single transaction\n\n**Batch Potential:** ⭐⭐⭐⭐ **HIGH**\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go:165-210, 212-258`\n\n---\n\n## 8. NATS API - SEMAPHORE-PROTECTED WRITES\n\n### Pattern: NATS Job/Node event handlers (internal/api/nats.go)\n\nUses semaphores to limit concurrency:\n```go\ntype NatsAPI struct {\n    jobSem chan struct{} // capacity 8\n    nodeSem chan struct{} // capacity 2\n}\n\nfunc (api *NatsAPI) handleJobEvent(...) {\n    api.jobSem <- struct{}{}      // acquire semaphore\n    defer func() { <-api.jobSem }() // release\n    // ... process job (same write patterns as REST)\n}\n```\n\n**No Issues:** Semaphores are for concurrency control, not transactional. Underlying writes are same as REST API (non-transactional tag adds).\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:62-80, 147-148`\n\n---\n\n## 9. STATISTICS/ENERGY FOOTPRINT UPDATES - AGGREGATION-ONLY\n\n### Pattern: Stats queries (internal/repository/stats.go)\n\nAll **READ-ONLY** SELECT with aggregations. No write batching opportunities.\n\nKey observation: Post-archiving stats updates are computed by `UpdateFootprint()` and `UpdateEnergy()` which are already in a single UPDATE statement (item #2).\n\n---\n\n## TRANSACTION SUPPORT STATUS\n\n**Good news:** The codebase **already has transaction support**:\n\n### Available Transaction API (internal/repository/transaction.go):\n```go\ntype Transaction struct { tx *sqlx.Tx }\n\nfunc (r *JobRepository) TransactionInit() (*Transaction, error)\nfunc (t *Transaction) Commit() error\nfunc (t *Transaction) Rollback() error\nfunc (r *JobRepository) TransactionAddNamed(t *Transaction, query string, args ...any) (int64, error)\nfunc (r *JobRepository) TransactionAdd(t *Transaction, query string, args ...any) (int64, error)\n```\n\n**Currently used in:** `/internal/repository/jobCreate.go:96-120` (SyncJobs function uses `tx.Beginx()`)\n\n**Not used in:** Tag operations, individual archiving, import loops\n\n---\n\n## SUMMARY TABLE\n\n| Pattern | Location | Issue | Batch Potential | Transaction Support | Priority |\n|---------|----------|-------|-----------------|---------------------|----------|\n| AddTagOrCreate in loop | api/job.go:760-777, api/job.go:570-583 | 1 txn per tag | ⭐⭐⭐⭐⭐ | Exists | HIGH |\n| ImportTag per tag | importer/handleImport.go:111-116 | 1 txn per tag | ⭐⭐⭐⭐⭐ | Exists | HIGH |\n| TransferCachedJobToMain | repository/jobCreate.go:143-162 | INSERT + DELETE separate | ⭐⭐⭐⭐ | Exists | **CRITICAL** |\n| RemoveTagByID | repository/tags.go:216-244 | 2 separate DELETEs | ⭐⭐⭐ | Exists | MEDIUM |\n| GraphQL AddTagsToJob | graph/schema.resolvers.go:179-207 | 1 txn per tag | ⭐⭐⭐⭐ | Exists | HIGH |\n| Archiving updates | archiver/archiveWorker.go:145-163 | 3 SETs chained (OK) | ⭐⭐ | Already good | LOW |\n| Job stats queries | repository/stats.go | Read-only aggregations | N/A | N/A | N/A |\n\n---\n\n## RECOMMENDATIONS\n\n1. **CRITICAL**: Fix `TransferCachedJobToMain()` - wrap INSERT + DELETE in transaction\n2. **HIGH**: Batch tag operations in `tagJob()` and `AddTagsToJob()` - add `BatchAddTags()` method\n3. **HIGH**: Batch import tag operations - wrap job insert + all tags in single transaction\n4. **MEDIUM**: Consolidate `RemoveTagByID()` - use single transaction for both DELETEs\n5. **MEDIUM**: Add async tag removal with error handling - current goroutine silently fails\n\n---\n\nThese patterns show that while transaction support exists, it's **underutilized** in high-frequency write paths, particularly around tag management where multiple individual operations could be safely batched."},{"type":"text","text":"agentId: ae6e94e07c8dc030e (for resuming to continue this agent's work if needed)\n<usage>total_tokens: 81850\ntool_uses: 29\nduration_ms: 64839</usage>"}]}]},"uuid":"e4783a98-7be1-497b-bb9d-b9abe1032483","timestamp":"2026-03-16T10:19:56.245Z","toolUseResult":{"status":"completed","prompt":"Explore the cc-backend codebase for DB write patterns specifically around:\n\n1. **Tag operations** - AddTagOrCreate, adding tags to jobs. These are often called in loops (e.g., when starting a job with multiple tags). Check internal/repository/tags.go or similar files.\n\n2. **Job archiving writes** - What happens when a job is archived? Does it update the job table? Check internal/archiver/ for the archiving flow and what DB writes it does.\n\n3. **Job import/restore** - Check internal/importer/ for bulk import operations.\n\n4. **Energy footprint / statistics updates** - Any post-processing that updates job rows after archiving.\n\n5. **TransferCachedJobToMain** in internal/repository/jobCreate.go - this does INSERT + DELETE as separate operations. Could these be in a transaction?\n\nFor each pattern, identify if multiple individual writes could be combined into transactions or batch operations.\n\nAlso check internal/api/rest.go for the REST endpoint handlers (startJob, stopJob, etc.) to see their DB write patterns.","agentId":"ae6e94e07c8dc030e","content":[{"type":"text","text":"Perfect. Now I have enough information to provide a comprehensive analysis. Let me compile my findings:\n\n## DB Write Patterns Analysis - ClusterCockpit cc-backend\n\nBased on my thorough exploration of the codebase, I've identified several DB write patterns and opportunities for transaction-based optimization. Here's my detailed analysis:\n\n---\n\n## 1. TAG OPERATIONS - HIGH TRANSACTION OPPORTUNITY\n\n### Pattern: AddTagOrCreate (Internal/repository/tags.go:424)\nWhen adding tags to a job with multiple tags, each tag operation is **separate and non-transactional**:\n\n```\nstartJob() → for each tag {\n  → TagID lookup (SELECT)\n  → CreateTag (INSERT) if missing\n  → AddTag (INSERT into jobtag)\n  → GetTags (SELECT)\n  → archive.UpdateTags() (file write)\n}\n```\n\n**Current Issues:**\n- **Line 760-777** in `/internal/api/job.go`: When startJob is called with `req.Tags`, each tag is added individually via `AddTagOrCreate()` inside a loop\n- **Line 570-583** in `/internal/api/job.go`: tagJob endpoint adds multiple tags one-by-one with individual archive updates\n- **Lines 165-210** in `/internal/graph/schema.resolvers.go`: GraphQL AddTagsToJob loops through tag IDs, calling `AddTag()` for each without batching\n\n**Batch Potential:** ⭐⭐⭐⭐⭐ **HIGHEST**\n- A job with 5 tags = 5 separate transactions (INSERT + SELECT + archive write)\n- Could be batched into single transaction: 1 INSERT many jobtag + 1 archive write\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go`\n\n**addJobTag() helper (line 398):** Performs 3 operations per tag:\n1. INSERT into jobtag\n2. SELECT tags\n3. archive.UpdateTags() (file I/O)\n\n**AddTagOrCreate() (line 424):** Chains multiple operations:\n1. TagID lookup\n2. CreateTag if missing (conditional INSERT)\n3. AddTag (calls addJobTag, which does 3 more ops)\n\n---\n\n## 2. JOB ARCHIVING WRITES - MODERATE TRANSACTION OPPORTUNITY\n\n### Pattern: Archiving Workflow (archiveWorker in /internal/archiver/archiveWorker.go)\n\nWhen a job is archived, **3-4 separate UPDATE statements** execute sequentially:\n\n```\narchivingWorker() → for job in archiveChannel {\n  → FetchMetadata (SELECT)\n  → ArchiveJob() (file writes + calculations)\n  → UpdateFootprint (UPDATE)\n  → UpdateEnergy (UPDATE)  \n  → MarkArchived (UPDATE)\n  → Execute(stmt) (single UPDATE with 3 SET clauses)\n  → CallJobStopHooks()\n}\n```\n\n**Current Issues:**\n- **Lines 145-159** in `/internal/archiver/archiveWorker.go`: Three separate `.Set()` calls chained together but executed as ONE statement via `jobRepo.Execute(stmt)`\n- Actually **GOOD**: The code chains multiple SET operations into a single UPDATE via Squirrel builder pattern\n- However, the statement is still a single UPDATE - could be a transaction for safety\n\n**Transaction Benefit:** ⭐⭐⭐ **MODERATE**\n- Currently chains SETs into one UPDATE (good)\n- Could add transaction wrapper for atomicity guarantee\n- Already uses statement builder pattern to combine updates\n\n### Key Files:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go:145-163`\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:908-999` (UpdateEnergy, UpdateFootprint, MarkArchived, Execute)\n\n---\n\n## 3. JOB IMPORT/RESTORE - HIGH TRANSACTION OPPORTUNITY\n\n### Pattern: HandleImportFlag (internal/importer/handleImport.go:38)\n\nImports job metadata + tags without batching:\n\n```\nHandleImportFlag(flag) → for each job in flag {\n  → Read JSON files\n  → archive.ImportJob() (file write)\n  → InsertJobDirect (INSERT)\n  → for each tag in job.Tags {\n    → ImportTag() (SELECT + INSERT per tag)\n  }\n}\n```\n\n**Current Issues:**\n- **Lines 105-116** in `/internal/importer/handleImport.go`: \n  - 1 job INSERT per job\n  - N tag operations (SELECT + INSERT) per job\n  - No transaction wrapping job + all its tags\n  \n**Batch Potential:** ⭐⭐⭐⭐⭐ **HIGHEST**\n- If importing 100 jobs with 3 tags each = 100 INSERTs + 300 tag lookups/inserts\n- Could batch into transaction: INSERT 100 jobs + 300 tag associations in single txn\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go:111-116`\n\n---\n\n## 4. JOB CACHE TO MAIN TABLE TRANSFER - IDENTIFIED ISSUE\n\n### Pattern: TransferCachedJobToMain (internal/repository/jobCreate.go:143)\n\n**EXACT ISSUE YOU MENTIONED:**\n\n```go\n// TransferCachedJobToMain - Lines 143-162\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n    res, err := r.DB.Exec(\n        \"INSERT INTO job ... SELECT ... FROM job_cache WHERE id = ?\", cacheID)\n    if err != nil { return 0, ... }\n    \n    newID, err := res.LastInsertId()\n    if err != nil { return 0, ... }\n    \n    _, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)  // SEPARATE OPERATION\n    if err != nil { return 0, ... }\n    \n    return newID, nil\n}\n```\n\n**Issue:** ⚠️ **TWO SEPARATE EXEC CALLS**\n- Line 144-146: INSERT\n- Line 156: DELETE\n- No transaction wrapping both operations\n- **Risk:** If DELETE fails, job orphaned in main table and cache\n\n**Transaction Fix:** Wrap both operations in `tx.Beginx()` / `tx.Commit()`\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go:143-162`\n\n---\n\n## 5. JOB STOP WORKFLOW - MILD CONSOLIDATION OPPORTUNITY\n\n### Pattern: stopJobByRequest (internal/api/job.go:805)\n\nCalls `checkAndHandleStopJob()` which likely:\n1. Updates job state (Stop)\n2. Transfers from cache to main table (INSERT + DELETE as shown above)\n3. Triggers archiving\n\n**Issue:** Multiple separate repository calls that could be transactional\n\n### Key Files:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go:805-835`\n- The actual logic is in `checkAndHandleStopJob()` - would need to read that\n\n---\n\n## 6. TAG REMOVAL - DISTRIBUTED WRITES\n\n### Pattern: RemoveTagByID (internal/repository/tags.go:216)\n\n```go\n// RemoveTagByID - Lines 216-244\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n    jobIds, err := r.FindJobIdsByTag(tagID)  // SELECT all job IDs\n    \n    qJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n    if _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil { ... }\n    \n    qTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n    if _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil { ... }\n    \n    go r.removeTagFromArchiveJobs(jobIds)  // ASYNC goroutine\n    \n    return nil\n}\n```\n\n**Issues:**\n- **2 separate DELETE statements** (jobtag, then tag)\n- Could be 1 transaction\n- Archive updates run **asynchronously in goroutine** (line 241)\n- **Lines 183-199** show async archive updates without error handling\n\n**Transaction Opportunity:** ⭐⭐⭐ **MODERATE**\n- Can wrap 2 DELETEs in single transaction\n\n### Key Files:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go:216-244`\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go:183-199`\n\n---\n\n## 7. GRAPHQL TAG MUTATIONS - LOOP-BASED WRITES\n\n### Pattern: AddTagsToJob, RemoveTagsFromJob (internal/graph/schema.resolvers.go:166, 213)\n\n**Lines 179-207** and **Lines 226-255**:\n```go\nfor _, tagID := range tagIds {\n    // Lookup tag\n    _, _, tscope, exists := r.Repo.TagInfo(tid)\n    // Authorization check\n    // Add/Remove\n    if tags, err = r.Repo.AddTag(...); err != nil { ... }\n}\n```\n\n**Issue:**\n- **Loop per tag** with individual `AddTag()` or `RemoveTag()` calls\n- 5 tags = 5 separate database transactions with archive updates\n- Could batch into single transaction\n\n**Batch Potential:** ⭐⭐⭐⭐ **HIGH**\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go:165-210, 212-258`\n\n---\n\n## 8. NATS API - SEMAPHORE-PROTECTED WRITES\n\n### Pattern: NATS Job/Node event handlers (internal/api/nats.go)\n\nUses semaphores to limit concurrency:\n```go\ntype NatsAPI struct {\n    jobSem chan struct{} // capacity 8\n    nodeSem chan struct{} // capacity 2\n}\n\nfunc (api *NatsAPI) handleJobEvent(...) {\n    api.jobSem <- struct{}{}      // acquire semaphore\n    defer func() { <-api.jobSem }() // release\n    // ... process job (same write patterns as REST)\n}\n```\n\n**No Issues:** Semaphores are for concurrency control, not transactional. Underlying writes are same as REST API (non-transactional tag adds).\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:62-80, 147-148`\n\n---\n\n## 9. STATISTICS/ENERGY FOOTPRINT UPDATES - AGGREGATION-ONLY\n\n### Pattern: Stats queries (internal/repository/stats.go)\n\nAll **READ-ONLY** SELECT with aggregations. No write batching opportunities.\n\nKey observation: Post-archiving stats updates are computed by `UpdateFootprint()` and `UpdateEnergy()` which are already in a single UPDATE statement (item #2).\n\n---\n\n## TRANSACTION SUPPORT STATUS\n\n**Good news:** The codebase **already has transaction support**:\n\n### Available Transaction API (internal/repository/transaction.go):\n```go\ntype Transaction struct { tx *sqlx.Tx }\n\nfunc (r *JobRepository) TransactionInit() (*Transaction, error)\nfunc (t *Transaction) Commit() error\nfunc (t *Transaction) Rollback() error\nfunc (r *JobRepository) TransactionAddNamed(t *Transaction, query string, args ...any) (int64, error)\nfunc (r *JobRepository) TransactionAdd(t *Transaction, query string, args ...any) (int64, error)\n```\n\n**Currently used in:** `/internal/repository/jobCreate.go:96-120` (SyncJobs function uses `tx.Beginx()`)\n\n**Not used in:** Tag operations, individual archiving, import loops\n\n---\n\n## SUMMARY TABLE\n\n| Pattern | Location | Issue | Batch Potential | Transaction Support | Priority |\n|---------|----------|-------|-----------------|---------------------|----------|\n| AddTagOrCreate in loop | api/job.go:760-777, api/job.go:570-583 | 1 txn per tag | ⭐⭐⭐⭐⭐ | Exists | HIGH |\n| ImportTag per tag | importer/handleImport.go:111-116 | 1 txn per tag | ⭐⭐⭐⭐⭐ | Exists | HIGH |\n| TransferCachedJobToMain | repository/jobCreate.go:143-162 | INSERT + DELETE separate | ⭐⭐⭐⭐ | Exists | **CRITICAL** |\n| RemoveTagByID | repository/tags.go:216-244 | 2 separate DELETEs | ⭐⭐⭐ | Exists | MEDIUM |\n| GraphQL AddTagsToJob | graph/schema.resolvers.go:179-207 | 1 txn per tag | ⭐⭐⭐⭐ | Exists | HIGH |\n| Archiving updates | archiver/archiveWorker.go:145-163 | 3 SETs chained (OK) | ⭐⭐ | Already good | LOW |\n| Job stats queries | repository/stats.go | Read-only aggregations | N/A | N/A | N/A |\n\n---\n\n## RECOMMENDATIONS\n\n1. **CRITICAL**: Fix `TransferCachedJobToMain()` - wrap INSERT + DELETE in transaction\n2. **HIGH**: Batch tag operations in `tagJob()` and `AddTagsToJob()` - add `BatchAddTags()` method\n3. **HIGH**: Batch import tag operations - wrap job insert + all tags in single transaction\n4. **MEDIUM**: Consolidate `RemoveTagByID()` - use single transaction for both DELETEs\n5. **MEDIUM**: Add async tag removal with error handling - current goroutine silently fails\n\n---\n\nThese patterns show that while transaction support exists, it's **underutilized** in high-frequency write paths, particularly around tag management where multiple individual operations could be safely batched."}],"totalDurationMs":64839,"totalTokens":81850,"totalToolUseCount":29,"usage":{"input_tokens":5,"cache_creation_input_tokens":1906,"cache_read_input_tokens":76371,"output_tokens":3568,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1906},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"be9edc37-8b94-42c3-a207-56a1de047ced","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"a93c39ad-d6d5-4a49-a8dd-8b7086258ea9","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","type":"tool_result","content":[{"type":"text","text":"Excellent! Now I have comprehensive information. Let me compile my final report based on all the data I've gathered.\n\n---\n\n## COMPREHENSIVE DATABASE WRITE OPERATIONS ANALYSIS - cc-backend\n\nBased on my thorough exploration of the codebase, here is a complete inventory of all database WRITE operations organized by contention patterns and optimization opportunities:\n\n### SECTION 1: JOB LIFECYCLE WRITES (CRITICAL CONTENTION POINTS)\n\n#### 1.1 Job Start/Insert Operations\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `InsertJob()` (line 54-70) | NamedExec to job_cache | Per-request (REST/NATS) | Mutex-protected only | CONTENTION: Single insert per request, uses mutex not transactions |\n| `InsertJobDirect()` (line 36-52) | NamedExec to job table | Per-request (with tags) | Mutex-protected only | CONTENTION: Mutex serializes all tag insertions sequentially |\n| `Start()` (line 166-183) | Marshals then InsertJob | Per-request | Indirect (via InsertJob) | THREE writes: footprint + resources + metadata marshaling before DB write |\n| `StartDirect()` (line 188-205) | Marshals then InsertJobDirect | Per-request (with tags) | Indirect (via InsertJobDirect) | SAME: Three marshals before single DB insert |\n| `SyncJobs()` (line 72-139) | INSERT OR IGNORE + DELETE in transaction | Periodic (cache flush) | **Transactional** ✓ | Good: Batches cache-to-main table transfer, but job-cache is per-request |\n| `TransferCachedJobToMain()` (line 143-162) | INSERT + DELETE (separate) | Per-job transfer | **NOT in transaction** ✗ | **ISSUE**: Two separate Exec() calls without transaction - race condition risk |\n\n**Key Findings:**\n- Job inserts use coarse `Mutex` locking instead of transactions\n- Every job start with tags locks the entire JobRepository for the duration\n- `TransferCachedJobToMain()` has two separate writes without transactional guarantees\n\n#### 1.2 Job Stop/Update Operations\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `Stop()` (line 208-226) | UPDATE job SET state/duration/monitoring_status | Per job-stop | No transaction | Single update, but needs cache invalidation |\n| `UpdateMonitoringStatus()` (line 892-902) | UPDATE job SET monitoring_status | Archiving failures | No transaction | Called frequently during archiving errors |\n| `UpdateMetadata()` (line 268-306) | UPDATE job SET meta_data + archive.UpdateMetadata() | Per metadata edit | No transaction | Two writes: DB + archive file (potential inconsistency) |\n| `DeleteJobByID()` (line 470-477) | DELETE from job | On-demand cleanup | No transaction | Single delete but should cascade with jobtag |\n| `DeleteJobsBefore()` (line 399-461) | DELETE from job WHERE start_time < ? | Periodic cleanup | No transaction | Bulk delete (potentially thousands of rows) without transaction |\n\n#### 1.3 Footprint & Energy Updates\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `UpdateFootprint()` (line 1010-1045) | Builds UPDATE stmt (not executed) | Archiving, footprint service | Returns builder only | Caller must execute; no transaction wrapping |\n| `UpdateEnergy()` (line 960-999) | Builds UPDATE stmt (not executed) | Archiving, footprint service | Returns builder only | Caller must execute; no transaction wrapping |\n\n**Critical Issue:** These return unexecuted UPDATE builders, caller is responsible for execution:\n- Archiver calls both in sequence (archiveWorker.go line 147-152) - **2 separate statements**\n- updateFootprintService calls them per-job in a loop - **potential N separate statements**\n\n---\n\n### SECTION 2: NODE STATE WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `AddNode()` (line 182-197) | NamedExec INSERT node | On first state update | No transaction | Single insert, minimal issue |\n| `UpdateNodeState()` (line 208-245) | SELECT node, AddNode if missing, then NamedExec node_state | Per state update | No transaction | **CONTENTION**: Two writes (node + state) without transaction |\n| `BatchUpdateNodeStates()` (line 257-316) | **Transactional batch** | Per REST /api/nodestats | **YES - Full transaction** ✓ | **GOOD**: Entire batch in single transaction |\n| `DeleteNodeStatesBefore()` (line 383-396) | DELETE node_state WHERE time_stamp < ? | Periodic cleanup | No transaction | Bulk delete without transaction |\n\n**Key Finding:**\n- `BatchUpdateNodeStates()` is well-optimized (transaction + prepared statements)\n- But `UpdateNodeState()` is called per-request and NOT transactional (called from NATS)\n\n---\n\n### SECTION 3: USER MANAGEMENT WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `AddUser()` (line 126-189) | INSERT hpc_user + INSERT configuration (for each default cluster) | Per user creation | No transaction | **CONTENTION**: Loop with separate INSERT per cluster (lines 167-184) |\n| `AddUserIfNotExists()` (line 195-204) | INSERT OR IGNORE | LDAP sync/concurrent login | **Implicit safeguard** | Uses INSERT OR IGNORE for race condition safety |\n| `UpdateUser()` (line 206-276) | Multiple UPDATE calls in conditionals (lines 210-273) | Per admin user update | **NO - Separate calls** ✗ | **CONTENTION**: Each role/project change is separate UPDATE with no transaction |\n| `AddRole()` (line 336-363) | UPDATE hpc_user SET roles | Per admin request | No transaction | Single update |\n| `RemoveRole()` (line 370-404) | UPDATE hpc_user SET roles | Per admin request | No transaction | Single update |\n| `AddProject()` (line 412-436) | UPDATE hpc_user SET projects | Per admin request | No transaction | Single update |\n| `RemoveProject()` (line 438-476) | UPDATE hpc_user SET projects | Per admin request | No transaction | Single update |\n| `DelUser()` (line 278-286) | DELETE hpc_user | Per admin request | No transaction | Single delete |\n\n**Key Findings:**\n- `AddUser()` has implicit loop with N separate INSERTs for default metrics (deprecated code at line 162)\n- `UpdateUser()` has 4 separate UPDATE paths with no transaction (lines 210, 220, 227, 233, 245, 248, 256, 270)\n\n---\n\n### SECTION 4: TAG MANAGEMENT WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `CreateTag()` (line 255-271) | INSERT tag | Per unique tag | No transaction | Single insert, minimal contention |\n| `AddTag()` (line 73-83) | INSERT jobtag + archive.UpdateTags() | Per tag-job association | No transaction | **CONTENTION**: Two writes (DB + archive) without transaction |\n| `AddTagDirect()` (line 87-97) | Same as AddTag | From importer/batch | No transaction | Same issue |\n| `addJobTag()` (line 398-420) | INSERT jobtag + getTags callback + archive.UpdateTags() | Internal helper | No transaction | **THREE operations**: INSERT, SELECT, archive update |\n| `AddTagOrCreate()` (line 424-451) | CreateTag if missing, then AddTag | Per request | No transaction | Nested writes without transaction |\n| `RemoveTag()` (line 101-129) | DELETE jobtag + archive.UpdateTags() | Per tag removal | No transaction | **CONTENTION**: Two writes without transaction |\n| `RemoveTagByID()` (line 216-244) | DELETE jobtag + DELETE tag + async removeTagFromArchiveJobs | Per tag deletion | **Partial** ✗ | Two DB deletes OK, but async archive update has race condition |\n| `RemoveJobTagByRequest()` (line 133-170) | Same as RemoveTag | REST API path | No transaction | Two writes without transaction |\n| `ImportTag()` (line 620-640) | INSERT jobtag (after CreateTag checked) | Per import | No transaction | Single insert in loop |\n\n**Key Findings:**\n- Tag operations pair DB writes with archive file updates without transactions\n- `RemoveTagByID()` spawns goroutine (line 241) for archive update - potential race condition\n\n---\n\n### SECTION 5: USER CONFIG WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/userConfig.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `UpdateConfig()` (line 110-125) | REPLACE configuration | Per UI config change | No transaction | Single REPLACE, minimal contention |\n\n---\n\n### SECTION 6: ARCHIVER WRITES (BACKGROUND WORKER)\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| Archiving sequence (line 130-160) | UpdateMonitoringStatus (on error) + UpdateFootprint() + UpdateEnergy() + Exec | Per job archiving | **SEPARATE calls** ✗ | **CRITICAL**: UpdateFootprint/UpdateEnergy return builders, archiver executes 2 statements without transaction (lines 147-155) |\n\n**Critical Issue:**\n```\nstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\nstmt, err = jobRepo.UpdateFootprint(stmt, jobMeta)  // Modifies stmt\nif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta)  // Further modifies stmt\n// Only NOW is stmt.Exec() called - both updates in single statement\n// BUT UpdateMonitoringStatus() above is separate (line 130) = 2 separate writes\n```\n\n---\n\n### SECTION 7: IMPORTER WRITES (BULK OPERATIONS)\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/initDB.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `InitDB()` (line 49-154) | Batch 100 jobs per transaction | Startup/full reimport | **Transactional batches** ✓ | GOOD: Groups 100 INSERT + tag operations per transaction |\n| Job insert in batch | TransactionAddNamed for job | Per 100 jobs | Within transaction ✓ | OK |\n| Tag insert in batch | TransactionAdd for tag/jobtag | Per tag in job | Within transaction ✓ | OK |\n\n**Key Finding:**\n- `InitDB()` is well-optimized with batch transactions (100 jobs each)\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `HandleImportFlag()` (line 38-121) | Per-file: archive.ImportJob + InsertJobDirect + loop ImportTag | Per import file | **NO transaction** ✗ | **ISSUE**: Each imported job is separate (no batching), tags inserted one-by-one |\n\n---\n\n### SECTION 8: REST API WRITES (internal/api)\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `startJob()` (REST POST /api/jobs/) | Start/tag write sequence | Per REST request | Caller handles via NATS/archiver | Delegates to repository |\n| `stopJob()` (REST POST /api/jobs/stop/) | Stop + UpdateMonitoringStatus | Per REST request | Separate calls | Job.Stop() + archiver trigger |\n| `editMeta()` (PATCH /api/jobs/edit_meta/{id}) | UpdateMetadata() | Per edit request | No transaction | Single DB write + archive |\n| `deleteJob()` | DeleteJobByID() | Per admin request | No transaction | Single delete |\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/user.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `updateUser()` (line 76-128) | AddRole/RemoveRole/AddProject/RemoveProject conditionally | Per admin request | **NO transaction** ✗ | Each operation is separate UPDATE call (lines 94, 102, 110, 118) |\n| `createUser()` (line 147-193) | AddUser (with deprecated metric config loop) | Per user creation | No transaction | Delegates to repository |\n\n**Key Finding:**\n- API handlers directly call repository methods without batching\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `updateNodeStates()` (line 71-150) | BatchUpdateNodeStates() | Per REST /api/nodestats | **YES** ✓ | GOOD: Already using batch transaction wrapper |\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `handleStartJob()` (line 180-247) | Start/tag sequence + RepositoryMutex | Per NATS job.start message | Mutex + conditional | Serializes duplicate checks across all job starts |\n| `handleStopJob()` (line 252-300+) | Stop + monitoring status | Per NATS job.stop message | No transaction | Separate calls |\n\n**Key Finding:**\n- `handleStartJob()` uses coarse `RepositoryMutex` for all job starts (limits concurrency to 1)\n\n---\n\n## SECTION 9: TRANSACTION SUPPORT INFRASTRUCTURE\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/transaction.go`\n\n| Operation | Pattern | Available | Used | Issue |\n|-----------|---------|-----------|------|-------|\n| `TransactionInit()` | Begin transaction | YES | ✓ InitDB only | Underutilized outside of initialization |\n| `TransactionAdd()` | Exec within tx | YES | ✓ InitDB only | Not used in REST/NATS handlers |\n| `TransactionAddNamed()` | NamedExec within tx | YES | ✓ InitDB only | Designed for batch but only used in InitDB |\n| `Commit()` / `Rollback()` | Standard tx control | YES | ✓ | Available but not used in hot paths |\n\n---\n\n## HIGH-PRIORITY CONTENTION ISSUES\n\n### **CRITICAL (P0):**\n\n1. **Job Start Serialization** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:206`\n   - `RepositoryMutex.Lock()` serializes ALL concurrent job starts\n   - Limits throughput to single job start at a time\n   - Held during duplicate check + tag operations\n   - **Impact:** NATS job start concurrency = 1\n\n2. **TransferCachedJobToMain Race Condition** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go:143-162`\n   - INSERT + DELETE are separate `Exec()` calls\n   - No transaction between them\n   - If process crashes between INSERT and DELETE, job_cache row orphaned\n   - **Impact:** Data loss / inconsistency risk during transfers\n\n3. **Tag Operations Without Transactions** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go`\n   - `AddTag()`: DB INSERT jobtag + archive.UpdateTags() separate\n   - `RemoveTag()`: DB DELETE jobtag + archive.UpdateTags() separate  \n   - `RemoveTagByID()`: spawns async goroutine for archive (race condition)\n   - **Impact:** DB-archive inconsistency if either fails mid-operation\n\n4. **Archiver Multiple Separate Updates** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go:130,147-155`\n   - UpdateMonitoringStatus (line 130) = separate write\n   - UpdateFootprint + UpdateEnergy (lines 147-155) = combined in single statement\n   - But if footprint fails, energy never updated\n   - **Impact:** Incomplete job archiving data\n\n### **HIGH (P1):**\n\n5. **UpdateUser Without Transaction** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go:206-276`\n   - 4 separate UPDATE paths, no transaction\n   - If admin modifies role+project, inconsistent state if second fails\n   - **Impact:** User permission inconsistencies\n\n6. **AddUser Deprecated Loop** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go:167-184`\n   - Loop with separate INSERT per cluster\n   - Code marked DEPRECATED but still runs\n   - **Impact:** N separate writes per user creation\n\n7. **HandleImportFlag No Batching** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go:38-121`\n   - Each imported job is individual (no transaction)\n   - Loop of InsertJobDirect + ImportTag calls\n   - **Impact:** No batch optimization for bulk imports\n\n8. **DeleteJobsBefore Bulk Without Transaction** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:399-461`\n   - DELETE from job WHERE start_time < ?\n   - Potentially thousands of rows, single statement but no transaction\n   - If cascades fail, inconsistent state\n   - **Impact:** Data integrity during bulk cleanup\n\n9. **UpdateMetadata Split Write** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:268-306`\n   - DB UPDATE + archive.UpdateMetadata() separate\n   - No transaction\n   - **Impact:** DB-archive inconsistency on failure\n\n10. **REST API User Updates Serialize** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/user.go:76-128`\n    - Each role/project operation is separate REST handler call\n    - updateUser() itself calls single repository method per request\n    - **Impact:** User sees 4 separate state changes if adding role+project\n\n---\n\n## SUMMARY TABLE - WRITE OPERATIONS BY CONTENTION RISK\n\n| Component | Location | Writes/Batch | Transaction | Frequency | Risk Level |\n|-----------|----------|--------------|-------------|-----------|-----------|\n| Job Start (NATS) | nats.go:206 | 1-2 (job+tags) | **Mutex-only** | Per job start | **CRITICAL** |\n| Job Start (REST) | jobCreate.go | 1-2 (job+tags) | Mutex-only | Per job start | CRITICAL |\n| TransferCachedJobToMain | jobCreate.go:144,156 | 2 (INSERT+DELETE) | **None** | Cache flush | **CRITICAL** |\n| Tag Add/Remove | tags.go | 2 (DB+archive) | None | Per tag op | **HIGH** |\n| User Update | user.go:206 | 4 (separate UPDATEs) | None | Per admin update | **HIGH** |\n| Node State (batch) | node.go:257 | N (batched) | **Transaction** ✓ | Per REST request | LOW |\n| InitDB Import | initDB.go | 100 (batched) | **Transaction** ✓ | Startup | LOW |\n| Job Archive | archiveWorker.go | 3 (separate) | Partial ✗ | Per job archive | **HIGH** |\n\n---\n\n## RECOMMENDATIONS FOR OPTIMIZATION\n\n1. **Replace Mutex with Transactions** for job start operations\n2. **Batch TagOps** into single transaction for add/remove\n3. **Transactionalize** UpdateUser role/project changes\n4. **Wrap Archiver** updates in single transaction\n5. **Add Transactional Batching** to HandleImportFlag\n6. **Fix TransferCachedJobToMain** race by moving to transaction\n7. **Remove Deprecated User Config Loop** in AddUser\n\nAll paths are now documented with specific file paths, line numbers, and actionable issues."},{"type":"text","text":"agentId: ab0b0e624428f5b1f (for resuming to continue this agent's work if needed)\n<usage>total_tokens: 120521\ntool_uses: 32\nduration_ms: 81558</usage>"}]}]},"uuid":"a337a0bd-8ef5-4b12-8203-5819f98796af","timestamp":"2026-03-16T10:20:01.529Z","toolUseResult":{"status":"completed","prompt":"Explore the cc-backend codebase for all database WRITE operations (INSERT, UPDATE, DELETE, Exec, NamedExec) that could cause SQLite write contention. I need to find patterns that are:\n\n1. Called frequently or in loops without transactions\n2. Multiple separate writes that could be batched into a single transaction\n3. Write operations triggered by external events (REST handlers, scheduled tasks, archiving)\n\nFocus on these directories:\n- internal/repository/ (all .go files)\n- internal/api/ (all .go files)  \n- internal/archiver/\n- internal/importer/\n\nFor each write operation found, note:\n- The function name and file path\n- Whether it's already in a transaction\n- How frequently it's likely called (per-request, per-job, periodic, etc.)\n- Whether multiple writes happen in sequence that could be batched\n\nBe very thorough - check every .go file in these directories. Skip test files.","agentId":"ab0b0e624428f5b1f","content":[{"type":"text","text":"Excellent! Now I have comprehensive information. Let me compile my final report based on all the data I've gathered.\n\n---\n\n## COMPREHENSIVE DATABASE WRITE OPERATIONS ANALYSIS - cc-backend\n\nBased on my thorough exploration of the codebase, here is a complete inventory of all database WRITE operations organized by contention patterns and optimization opportunities:\n\n### SECTION 1: JOB LIFECYCLE WRITES (CRITICAL CONTENTION POINTS)\n\n#### 1.1 Job Start/Insert Operations\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `InsertJob()` (line 54-70) | NamedExec to job_cache | Per-request (REST/NATS) | Mutex-protected only | CONTENTION: Single insert per request, uses mutex not transactions |\n| `InsertJobDirect()` (line 36-52) | NamedExec to job table | Per-request (with tags) | Mutex-protected only | CONTENTION: Mutex serializes all tag insertions sequentially |\n| `Start()` (line 166-183) | Marshals then InsertJob | Per-request | Indirect (via InsertJob) | THREE writes: footprint + resources + metadata marshaling before DB write |\n| `StartDirect()` (line 188-205) | Marshals then InsertJobDirect | Per-request (with tags) | Indirect (via InsertJobDirect) | SAME: Three marshals before single DB insert |\n| `SyncJobs()` (line 72-139) | INSERT OR IGNORE + DELETE in transaction | Periodic (cache flush) | **Transactional** ✓ | Good: Batches cache-to-main table transfer, but job-cache is per-request |\n| `TransferCachedJobToMain()` (line 143-162) | INSERT + DELETE (separate) | Per-job transfer | **NOT in transaction** ✗ | **ISSUE**: Two separate Exec() calls without transaction - race condition risk |\n\n**Key Findings:**\n- Job inserts use coarse `Mutex` locking instead of transactions\n- Every job start with tags locks the entire JobRepository for the duration\n- `TransferCachedJobToMain()` has two separate writes without transactional guarantees\n\n#### 1.2 Job Stop/Update Operations\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `Stop()` (line 208-226) | UPDATE job SET state/duration/monitoring_status | Per job-stop | No transaction | Single update, but needs cache invalidation |\n| `UpdateMonitoringStatus()` (line 892-902) | UPDATE job SET monitoring_status | Archiving failures | No transaction | Called frequently during archiving errors |\n| `UpdateMetadata()` (line 268-306) | UPDATE job SET meta_data + archive.UpdateMetadata() | Per metadata edit | No transaction | Two writes: DB + archive file (potential inconsistency) |\n| `DeleteJobByID()` (line 470-477) | DELETE from job | On-demand cleanup | No transaction | Single delete but should cascade with jobtag |\n| `DeleteJobsBefore()` (line 399-461) | DELETE from job WHERE start_time < ? | Periodic cleanup | No transaction | Bulk delete (potentially thousands of rows) without transaction |\n\n#### 1.3 Footprint & Energy Updates\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `UpdateFootprint()` (line 1010-1045) | Builds UPDATE stmt (not executed) | Archiving, footprint service | Returns builder only | Caller must execute; no transaction wrapping |\n| `UpdateEnergy()` (line 960-999) | Builds UPDATE stmt (not executed) | Archiving, footprint service | Returns builder only | Caller must execute; no transaction wrapping |\n\n**Critical Issue:** These return unexecuted UPDATE builders, caller is responsible for execution:\n- Archiver calls both in sequence (archiveWorker.go line 147-152) - **2 separate statements**\n- updateFootprintService calls them per-job in a loop - **potential N separate statements**\n\n---\n\n### SECTION 2: NODE STATE WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `AddNode()` (line 182-197) | NamedExec INSERT node | On first state update | No transaction | Single insert, minimal issue |\n| `UpdateNodeState()` (line 208-245) | SELECT node, AddNode if missing, then NamedExec node_state | Per state update | No transaction | **CONTENTION**: Two writes (node + state) without transaction |\n| `BatchUpdateNodeStates()` (line 257-316) | **Transactional batch** | Per REST /api/nodestats | **YES - Full transaction** ✓ | **GOOD**: Entire batch in single transaction |\n| `DeleteNodeStatesBefore()` (line 383-396) | DELETE node_state WHERE time_stamp < ? | Periodic cleanup | No transaction | Bulk delete without transaction |\n\n**Key Finding:**\n- `BatchUpdateNodeStates()` is well-optimized (transaction + prepared statements)\n- But `UpdateNodeState()` is called per-request and NOT transactional (called from NATS)\n\n---\n\n### SECTION 3: USER MANAGEMENT WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `AddUser()` (line 126-189) | INSERT hpc_user + INSERT configuration (for each default cluster) | Per user creation | No transaction | **CONTENTION**: Loop with separate INSERT per cluster (lines 167-184) |\n| `AddUserIfNotExists()` (line 195-204) | INSERT OR IGNORE | LDAP sync/concurrent login | **Implicit safeguard** | Uses INSERT OR IGNORE for race condition safety |\n| `UpdateUser()` (line 206-276) | Multiple UPDATE calls in conditionals (lines 210-273) | Per admin user update | **NO - Separate calls** ✗ | **CONTENTION**: Each role/project change is separate UPDATE with no transaction |\n| `AddRole()` (line 336-363) | UPDATE hpc_user SET roles | Per admin request | No transaction | Single update |\n| `RemoveRole()` (line 370-404) | UPDATE hpc_user SET roles | Per admin request | No transaction | Single update |\n| `AddProject()` (line 412-436) | UPDATE hpc_user SET projects | Per admin request | No transaction | Single update |\n| `RemoveProject()` (line 438-476) | UPDATE hpc_user SET projects | Per admin request | No transaction | Single update |\n| `DelUser()` (line 278-286) | DELETE hpc_user | Per admin request | No transaction | Single delete |\n\n**Key Findings:**\n- `AddUser()` has implicit loop with N separate INSERTs for default metrics (deprecated code at line 162)\n- `UpdateUser()` has 4 separate UPDATE paths with no transaction (lines 210, 220, 227, 233, 245, 248, 256, 270)\n\n---\n\n### SECTION 4: TAG MANAGEMENT WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `CreateTag()` (line 255-271) | INSERT tag | Per unique tag | No transaction | Single insert, minimal contention |\n| `AddTag()` (line 73-83) | INSERT jobtag + archive.UpdateTags() | Per tag-job association | No transaction | **CONTENTION**: Two writes (DB + archive) without transaction |\n| `AddTagDirect()` (line 87-97) | Same as AddTag | From importer/batch | No transaction | Same issue |\n| `addJobTag()` (line 398-420) | INSERT jobtag + getTags callback + archive.UpdateTags() | Internal helper | No transaction | **THREE operations**: INSERT, SELECT, archive update |\n| `AddTagOrCreate()` (line 424-451) | CreateTag if missing, then AddTag | Per request | No transaction | Nested writes without transaction |\n| `RemoveTag()` (line 101-129) | DELETE jobtag + archive.UpdateTags() | Per tag removal | No transaction | **CONTENTION**: Two writes without transaction |\n| `RemoveTagByID()` (line 216-244) | DELETE jobtag + DELETE tag + async removeTagFromArchiveJobs | Per tag deletion | **Partial** ✗ | Two DB deletes OK, but async archive update has race condition |\n| `RemoveJobTagByRequest()` (line 133-170) | Same as RemoveTag | REST API path | No transaction | Two writes without transaction |\n| `ImportTag()` (line 620-640) | INSERT jobtag (after CreateTag checked) | Per import | No transaction | Single insert in loop |\n\n**Key Findings:**\n- Tag operations pair DB writes with archive file updates without transactions\n- `RemoveTagByID()` spawns goroutine (line 241) for archive update - potential race condition\n\n---\n\n### SECTION 5: USER CONFIG WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/userConfig.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `UpdateConfig()` (line 110-125) | REPLACE configuration | Per UI config change | No transaction | Single REPLACE, minimal contention |\n\n---\n\n### SECTION 6: ARCHIVER WRITES (BACKGROUND WORKER)\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| Archiving sequence (line 130-160) | UpdateMonitoringStatus (on error) + UpdateFootprint() + UpdateEnergy() + Exec | Per job archiving | **SEPARATE calls** ✗ | **CRITICAL**: UpdateFootprint/UpdateEnergy return builders, archiver executes 2 statements without transaction (lines 147-155) |\n\n**Critical Issue:**\n```\nstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\nstmt, err = jobRepo.UpdateFootprint(stmt, jobMeta)  // Modifies stmt\nif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta)  // Further modifies stmt\n// Only NOW is stmt.Exec() called - both updates in single statement\n// BUT UpdateMonitoringStatus() above is separate (line 130) = 2 separate writes\n```\n\n---\n\n### SECTION 7: IMPORTER WRITES (BULK OPERATIONS)\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/initDB.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `InitDB()` (line 49-154) | Batch 100 jobs per transaction | Startup/full reimport | **Transactional batches** ✓ | GOOD: Groups 100 INSERT + tag operations per transaction |\n| Job insert in batch | TransactionAddNamed for job | Per 100 jobs | Within transaction ✓ | OK |\n| Tag insert in batch | TransactionAdd for tag/jobtag | Per tag in job | Within transaction ✓ | OK |\n\n**Key Finding:**\n- `InitDB()` is well-optimized with batch transactions (100 jobs each)\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `HandleImportFlag()` (line 38-121) | Per-file: archive.ImportJob + InsertJobDirect + loop ImportTag | Per import file | **NO transaction** ✗ | **ISSUE**: Each imported job is separate (no batching), tags inserted one-by-one |\n\n---\n\n### SECTION 8: REST API WRITES (internal/api)\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `startJob()` (REST POST /api/jobs/) | Start/tag write sequence | Per REST request | Caller handles via NATS/archiver | Delegates to repository |\n| `stopJob()` (REST POST /api/jobs/stop/) | Stop + UpdateMonitoringStatus | Per REST request | Separate calls | Job.Stop() + archiver trigger |\n| `editMeta()` (PATCH /api/jobs/edit_meta/{id}) | UpdateMetadata() | Per edit request | No transaction | Single DB write + archive |\n| `deleteJob()` | DeleteJobByID() | Per admin request | No transaction | Single delete |\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/user.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `updateUser()` (line 76-128) | AddRole/RemoveRole/AddProject/RemoveProject conditionally | Per admin request | **NO transaction** ✗ | Each operation is separate UPDATE call (lines 94, 102, 110, 118) |\n| `createUser()` (line 147-193) | AddUser (with deprecated metric config loop) | Per user creation | No transaction | Delegates to repository |\n\n**Key Finding:**\n- API handlers directly call repository methods without batching\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `updateNodeStates()` (line 71-150) | BatchUpdateNodeStates() | Per REST /api/nodestats | **YES** ✓ | GOOD: Already using batch transaction wrapper |\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `handleStartJob()` (line 180-247) | Start/tag sequence + RepositoryMutex | Per NATS job.start message | Mutex + conditional | Serializes duplicate checks across all job starts |\n| `handleStopJob()` (line 252-300+) | Stop + monitoring status | Per NATS job.stop message | No transaction | Separate calls |\n\n**Key Finding:**\n- `handleStartJob()` uses coarse `RepositoryMutex` for all job starts (limits concurrency to 1)\n\n---\n\n## SECTION 9: TRANSACTION SUPPORT INFRASTRUCTURE\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/transaction.go`\n\n| Operation | Pattern | Available | Used | Issue |\n|-----------|---------|-----------|------|-------|\n| `TransactionInit()` | Begin transaction | YES | ✓ InitDB only | Underutilized outside of initialization |\n| `TransactionAdd()` | Exec within tx | YES | ✓ InitDB only | Not used in REST/NATS handlers |\n| `TransactionAddNamed()` | NamedExec within tx | YES | ✓ InitDB only | Designed for batch but only used in InitDB |\n| `Commit()` / `Rollback()` | Standard tx control | YES | ✓ | Available but not used in hot paths |\n\n---\n\n## HIGH-PRIORITY CONTENTION ISSUES\n\n### **CRITICAL (P0):**\n\n1. **Job Start Serialization** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:206`\n   - `RepositoryMutex.Lock()` serializes ALL concurrent job starts\n   - Limits throughput to single job start at a time\n   - Held during duplicate check + tag operations\n   - **Impact:** NATS job start concurrency = 1\n\n2. **TransferCachedJobToMain Race Condition** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go:143-162`\n   - INSERT + DELETE are separate `Exec()` calls\n   - No transaction between them\n   - If process crashes between INSERT and DELETE, job_cache row orphaned\n   - **Impact:** Data loss / inconsistency risk during transfers\n\n3. **Tag Operations Without Transactions** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go`\n   - `AddTag()`: DB INSERT jobtag + archive.UpdateTags() separate\n   - `RemoveTag()`: DB DELETE jobtag + archive.UpdateTags() separate  \n   - `RemoveTagByID()`: spawns async goroutine for archive (race condition)\n   - **Impact:** DB-archive inconsistency if either fails mid-operation\n\n4. **Archiver Multiple Separate Updates** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go:130,147-155`\n   - UpdateMonitoringStatus (line 130) = separate write\n   - UpdateFootprint + UpdateEnergy (lines 147-155) = combined in single statement\n   - But if footprint fails, energy never updated\n   - **Impact:** Incomplete job archiving data\n\n### **HIGH (P1):**\n\n5. **UpdateUser Without Transaction** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go:206-276`\n   - 4 separate UPDATE paths, no transaction\n   - If admin modifies role+project, inconsistent state if second fails\n   - **Impact:** User permission inconsistencies\n\n6. **AddUser Deprecated Loop** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go:167-184`\n   - Loop with separate INSERT per cluster\n   - Code marked DEPRECATED but still runs\n   - **Impact:** N separate writes per user creation\n\n7. **HandleImportFlag No Batching** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go:38-121`\n   - Each imported job is individual (no transaction)\n   - Loop of InsertJobDirect + ImportTag calls\n   - **Impact:** No batch optimization for bulk imports\n\n8. **DeleteJobsBefore Bulk Without Transaction** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:399-461`\n   - DELETE from job WHERE start_time < ?\n   - Potentially thousands of rows, single statement but no transaction\n   - If cascades fail, inconsistent state\n   - **Impact:** Data integrity during bulk cleanup\n\n9. **UpdateMetadata Split Write** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:268-306`\n   - DB UPDATE + archive.UpdateMetadata() separate\n   - No transaction\n   - **Impact:** DB-archive inconsistency on failure\n\n10. **REST API User Updates Serialize** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/user.go:76-128`\n    - Each role/project operation is separate REST handler call\n    - updateUser() itself calls single repository method per request\n    - **Impact:** User sees 4 separate state changes if adding role+project\n\n---\n\n## SUMMARY TABLE - WRITE OPERATIONS BY CONTENTION RISK\n\n| Component | Location | Writes/Batch | Transaction | Frequency | Risk Level |\n|-----------|----------|--------------|-------------|-----------|-----------|\n| Job Start (NATS) | nats.go:206 | 1-2 (job+tags) | **Mutex-only** | Per job start | **CRITICAL** |\n| Job Start (REST) | jobCreate.go | 1-2 (job+tags) | Mutex-only | Per job start | CRITICAL |\n| TransferCachedJobToMain | jobCreate.go:144,156 | 2 (INSERT+DELETE) | **None** | Cache flush | **CRITICAL** |\n| Tag Add/Remove | tags.go | 2 (DB+archive) | None | Per tag op | **HIGH** |\n| User Update | user.go:206 | 4 (separate UPDATEs) | None | Per admin update | **HIGH** |\n| Node State (batch) | node.go:257 | N (batched) | **Transaction** ✓ | Per REST request | LOW |\n| InitDB Import | initDB.go | 100 (batched) | **Transaction** ✓ | Startup | LOW |\n| Job Archive | archiveWorker.go | 3 (separate) | Partial ✗ | Per job archive | **HIGH** |\n\n---\n\n## RECOMMENDATIONS FOR OPTIMIZATION\n\n1. **Replace Mutex with Transactions** for job start operations\n2. **Batch TagOps** into single transaction for add/remove\n3. **Transactionalize** UpdateUser role/project changes\n4. **Wrap Archiver** updates in single transaction\n5. **Add Transactional Batching** to HandleImportFlag\n6. **Fix TransferCachedJobToMain** race by moving to transaction\n7. **Remove Deprecated User Config Loop** in AddUser\n\nAll paths are now documented with specific file paths, line numbers, and actionable issues."}],"totalDurationMs":81558,"totalTokens":120521,"totalToolUseCount":32,"usage":{"input_tokens":4,"cache_creation_input_tokens":3553,"cache_read_input_tokens":111500,"output_tokens":5464,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":3553},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"a93c39ad-d6d5-4a49-a8dd-8b7086258ea9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"f0935097-6b79-44e4-81d4-4ce525f0f4f3","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MKZPCCebdvpFXikwtfC4E6","type":"tool_result","content":[{"type":"text","text":"Perfect! Now I have gathered comprehensive information. Let me create a detailed summary of all the findings.\n\n## Summary Report: Periodic/Scheduled Tasks and Background Goroutines in cc-backend\n\nI've completed a comprehensive exploration of the cc-backend codebase to identify all periodic/scheduled tasks and background goroutines that write to SQLite. Here's the complete findings:\n\n---\n\n### **TASK MANAGER (gocron-based scheduler)**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/`\n\nThe main scheduler is initialized in `main.go` line 374:\n```go\ntaskmanager.Start(ccconf.GetPackageConfig(\"cron\"), ccconf.GetPackageConfig(\"archive\"))\n```\n\n#### **1. Commit Job Service (commitJobService.go)**\n- **Frequency:** Default 2 minutes (configurable via `commit-job-worker`)\n- **DB Operation:** `jobRepo.SyncJobs()` + callback hooks\n- **Type:** Duration-based job (gocron.DurationJob)\n- **Batching:** Handled via SyncJobs() call\n- **Details:** Syncs job cache and triggers job start hooks\n\n#### **2. Update Duration Worker (updateDurationService.go)**\n- **Frequency:** Default 5 minutes (configurable via `duration-worker`)\n- **DB Operation:** `jobRepo.UpdateDuration()`\n- **Type:** Duration-based job\n- **Batching:** Single call, likely batches updates internally\n- **Details:** Updates job duration fields in DB\n\n#### **3. Footprint Update Worker (updateFootprintService.go)**\n- **Frequency:** Default 10 minutes (configurable via `footprint-worker`)\n- **DB Operation:** Multiple per-cluster database updates using transactions\n  - Uses `jobRepo.TransactionInit()`, `jobRepo.TransactionAdd()`, `jobRepo.TransactionEnd()`\n  - Updates job statistics (avg/min/max) for running jobs\n- **Batching:** Proper transaction batching per cluster\n- **Details:** \n  - Iterates through all clusters and running jobs\n  - Loads metrics from metric stores\n  - Builds UPDATE statements and batches them per cluster\n  - Uses transactions to apply all updates atomically\n\n#### **4. Stop Jobs Exceeding Walltime (stopJobsExceedTime.go)**\n- **Frequency:** Daily at 3:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.StopJobsExceedingWalltimeBy(duration)` + GC\n- **Type:** Daily job (gocron.DailyJob)\n- **Batching:** Handled internally by repository function\n- **Conditional:** Only runs if `config.Keys.StopJobsExceedingWalltime > 0`\n\n#### **5. Retention Delete Service (retentionService.go)**\n- **Frequency:** Daily at 3:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.FindJobsBetween()` + `jobRepo.DeleteJobsBefore()` + `jobRepo.Optimize()`\n- **Type:** Daily job\n- **Batching:** Deletes are batched via `DeleteJobsBefore()`\n- **Conditional:** Only if retention policy = \"delete\"\n- **Details:** Deletes archived jobs older than configured age\n\n#### **6. Retention Copy Service (retentionService.go)**\n- **Frequency:** Daily at 4:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.FindJobsBetween()` (no DB writes, only archive operations)\n- **Type:** Daily job\n- **Conditional:** Only if retention policy = \"copy\"\n- **Details:** Copies jobs to secondary backend without DB deletions\n\n#### **7. Retention Move Service (retentionService.go)**\n- **Frequency:** Daily at 5:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.FindJobsBetween()` + `jobRepo.DeleteJobsBefore()` + `jobRepo.Optimize()`\n- **Type:** Daily job\n- **Batching:** Deletes are batched\n- **Conditional:** Only if retention policy = \"move\"\n- **Details:** Moves jobs to secondary backend then deletes from DB\n\n#### **8. Compression Service (compressionService.go)**\n- **Frequency:** Daily at 5:00 AM (hardcoded, conflicts with move service)\n- **DB Operation:** `jobRepo.FindJobsBetween()` (no DB writes, only archive compression)\n- **Type:** Daily job\n- **Details:** Compresses old archived jobs\n- **Always enabled:** Even without explicit retention config\n\n#### **9. LDAP Sync Service (ldapSyncService.go)**\n- **Frequency:** Configurable via `LdapConfig.SyncInterval`\n- **DB Operation:** `auth.LdapAuth.Sync()` (user table updates, not job-related)\n- **Type:** Duration-based job\n- **Conditional:** Only if LDAP is configured\n\n#### **10. Node State Retention Delete Service (nodestateRetentionService.go)**\n- **Frequency:** Daily at 2:00 AM (hardcoded)\n- **DB Operation:** `nodeRepo.DeleteNodeStatesBefore(cutoff)`\n- **Type:** Daily job\n- **Conditional:** Only if `config.Keys.NodeStateRetention.Policy == \"delete\"`\n- **Details:** Deletes node state records older than configured age (default 24 hours)\n\n#### **11. Node State Retention Move Service (nodestateRetentionService.go)**\n- **Frequency:** Daily at 2:30 AM (hardcoded)\n- **DB Operation:** `nodeRepo.FindNodeStatesBefore()` + `nodeRepo.DeleteNodeStatesBefore()`\n- **Type:** Daily job\n- **Conditional:** Only if `config.Keys.NodeStateRetention.Policy == \"move\"`\n- **Details:** Archives node states to Parquet then deletes from DB\n\n---\n\n### **METRIC STORE BACKGROUND WORKERS**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/`\n\nInitialized in `main.go` line 343:\n```go\nmetricstore.Init(mscfg, metrics, &wg)\n```\n\nThese goroutines run concurrently and handle metric data persistence. **Note: These do NOT directly write to the SQLite job/node database, but they handle metric checkpoint persistence to disk.**\n\n#### **1. Checkpointing Worker (checkpoint.go:94)**\n- **Frequency:** 12 hours (default, configurable via `checkpoint-interval`)\n- **Operation:** Periodic metric data checkpoints to JSON or binary WAL format\n- **Type:** Duration-based ticker\n- **Details:**\n  - Saves in-memory metric buffers to disk\n  - Two formats: JSON (human-readable) or WAL+binary (crash-safe)\n  - Uses worker pool with `Keys.NumWorkers` (default: min(CPU/2+1, 10))\n  - Rotates WAL files after successful checkpoint\n\n#### **2. WAL Staging Worker (walCheckpoint.go:118)**\n- **Frequency:** Continuous (processes messages from channel)\n- **Operation:** Writes individual metric entries to write-ahead logs\n- **Type:** Channel-based message processor\n- **Details:**\n  - Processes `WALMessages` channel (from line protocol ingestion)\n  - Writes binary WAL records to per-host WAL files\n  - Manages file handles for efficient buffering\n  - Handles WAL rotation on command\n\n#### **3. Retention Worker (metricstore.go:320)**\n- **Frequency:** Half of `Keys.RetentionInMemory` interval\n- **Operation:** Frees in-memory metric buffers older than retention period\n- **Type:** Duration-based ticker\n- **Details:**\n  - Calls `Free(ms, t)` to remove old data from memory\n  - Cleans buffer pool with `bufferPool.Clean()`\n  - Does NOT write to SQLite, only memory management\n\n#### **4. Cleanup Worker (archive.go:23)**\n- **Frequency:** `Keys.RetentionInMemory` interval\n- **Operation:** Either archives or deletes old checkpoint files\n- **Type:** Duration-based ticker\n- **Modes:** \n  - \"archive\": Moves old checkpoint files to Parquet format\n  - \"delete\": Deletes old checkpoint files\n- **Details:**\n  - Uses worker pool for parallel processing\n  - Supports both local filesystem and S3 targets\n  - Runs daily cleanup job\n\n#### **5. Memory Usage Tracker (metricstore.go:383)**\n- **Frequency:** `DefaultMemoryUsageTrackerInterval` (appears to be 5-10 min based on code)\n- **Operation:** Monitors memory usage, force-frees buffers if exceeding cap\n- **Type:** Duration-based ticker\n- **Details:**\n  - Checks `runtime.MemStats.Alloc`\n  - Force-frees buffers if memory cap exceeded\n  - Calls `debug.FreeOSMemory()` to return memory to OS\n  - Does NOT write to SQLite\n\n---\n\n### **ARCHIVER BACKGROUND WORKER**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go`\n\n**Initialization:** `main.go` line 373:\n```go\narchiver.Start(repository.GetJobRepository(), ctx)\n```\n\n#### **Archiving Worker (archiveWorker.go:110)**\n- **Frequency:** On-demand (triggered by `TriggerArchiving()` calls)\n- **DB Operations:**\n  - `jobRepo.FetchMetadata(job)` - read\n  - `ArchiveJob(job, ctx)` - archive to external storage\n  - `jobRepo.UpdateFootprint(stmt, jobMeta)` - **writes**\n  - `jobRepo.UpdateEnergy(stmt, jobMeta)` - **writes**\n  - `jobRepo.MarkArchived(stmt, status)` - **writes**\n  - `jobRepo.Execute(stmt)` - executes composite update\n- **Type:** Channel-based consumer (buffered channel, capacity 128)\n- **Batching:** Single UPDATE statement with multiple SET clauses\n- **Trigger Points:**\n  - Called when job stops (via REST API `/api/jobs/stop_job/`)\n  - Called when job stops via NATS API\n- **Details:**\n  - Processes archiving asynchronously\n  - Uses `sync.WaitGroup` for graceful shutdown\n  - Updates job statistics (footprint, energy, monitoring status) atomically\n  - Calls job stop hooks after successful archiving\n\n---\n\n### **REST API ENDPOINTS THAT WRITE TO DATABASE**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/`\n\n#### **Job Start Endpoint** (`job.go:717`)\n- **Path:** `POST/PUT /api/jobs/start_job/`\n- **DB Operations:**\n  - `jobRepo.FindAll()` - check for duplicates (read)\n  - `jobRepo.StartDirect()` or `jobRepo.Start()` - **inserts new job**\n  - `jobRepo.AddTagOrCreate()` - **adds tags** (if provided)\n- **Concurrency:** Uses `RepositoryMutex` to prevent race conditions on duplicate checks\n- **Batching:** Individual calls, not explicitly batched\n- **Async:** Tag addition is async (after response)\n\n#### **Job Stop Endpoint** (`job.go:805`)\n- **Path:** `POST/PUT /api/jobs/stop_job/`\n- **DB Operations:**\n  - `jobRepo.FindCached()` or `jobRepo.Find()` - read\n  - `checkAndHandleStopJob()` - updates job state (line 1000+)\n  - Triggers `archiver.TriggerArchiving()` - queues async archiving\n- **Details:** Moves job to stopped state, triggers async archiving\n\n#### **Update Node States Endpoint** (`node.go:71`)\n- **Path:** `POST/PUT /api/nodestate/`\n- **DB Operations:**\n  - `nodeRepo.InsertNodeStateBegin()` - **starts transaction**\n  - `nodeRepo.InsertNodeState()` - **inserts node states** (batched per subcluster)\n  - `nodeRepo.InsertNodeStateEnd()` - **commits transaction**\n- **Batching:** Per-subcluster transactions\n- **Details:** Updates node allocation/state information\n\n#### **Tag Job Endpoint** (`job.go:545`)\n- **Path:** `POST/PATCH /api/jobs/tag_job/{id}`\n- **DB Operations:** `jobRepo.AddTagOrCreate()` - **inserts/creates tags**\n- **Batching:** No explicit batching\n\n#### **Remove Tag Endpoint** (`job.go:609`)\n- **Path:** `DELETE /api/jobs/tag_job/{id}`\n- **DB Operations:** Tag removal operations\n- **Batching:** No explicit batching\n\n#### **Delete Job Endpoints** (`job.go:852, 897, 950`)\n- **Paths:** \n  - `DELETE /api/jobs/delete_job/{id}`\n  - `DELETE /api/jobs/delete_job/`\n  - `DELETE /api/jobs/delete_job_before/{ts}`\n- **DB Operations:** `jobRepo.Delete*()` functions\n- **Details:** Remove jobs from database\n\n#### **Edit Meta Endpoint** (`job.go`)\n- **Path:** `PATCH /api/jobs/edit_meta/{id}`\n- **DB Operations:** Updates job metadata\n- **Details:** User-facing metadata updates\n\n---\n\n### **NATS API SUBSCRIPTIONS** (Alternative to REST)\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go`\n\n**Initialization:** `server.go:282-287` - conditionally started if `config.Keys.APISubjects` configured\n\n#### **Job Event Subscription** (`nats.go:146`)\n- **Subject:** `config.Keys.APISubjects.SubjectJobEvent` (e.g., \"cc.job.event\")\n- **Message Format:** InfluxDB line protocol with JSON payload\n- **Operations:** Same as REST endpoints (start_job, stop_job)\n- **Concurrency Control:** Uses semaphore (`jobSem` buffer of 8) to limit concurrent processing\n- **Details:** Asynchronous job processing via NATS messages\n\n#### **Node State Subscription** (`nats.go`)\n- **Subject:** `config.Keys.APISubjects.SubjectNodeState` (e.g., \"cc.node.state\")\n- **Operations:** Same as REST node state updates\n- **Concurrency Control:** Uses semaphore (`nodeSem` buffer of 2)\n\n---\n\n### **INITIALIZATION AND SHUTDOWN FLOW**\n\n**Main Startup Sequence:** (`main.go` lines 343-374)\n1. `metricstore.Init()` - starts 5 background workers\n2. `archiver.Start()` - starts archiving worker goroutine\n3. `taskmanager.Start()` - starts gocron scheduler with 11 periodic tasks\n\n**Graceful Shutdown Sequence:** (`server.go:418-441`)\n1. Server shutdown (30s timeout)\n2. NATS client close\n3. `metricstore.Shutdown()` - cancels metric worker contexts\n4. `archiver.Shutdown(10s)` - waits for pending archiving jobs with timeout\n5. `taskmanager.Shutdown()` - stops gocron scheduler\n\n---\n\n### **TRANSACTION/BATCHING SUMMARY**\n\n| Component | Uses Transactions | Batching Strategy |\n|-----------|-------------------|-------------------|\n| Footprint Worker | YES (per-cluster) | Builds update statements, executes in transaction |\n| Node State Updates | YES (per-subcluster) | `InsertNodeStateBegin/End` wrapper |\n| Job Start | NO | Individual insert (has mutex for duplicate prevention) |\n| Job Stop | NO | Async archiving triggered separately |\n| Retention Delete | Implicit | `DeleteJobsBefore()` handles batching |\n| Stop Jobs Exceed | Implicit | `StopJobsExceedingWalltimeBy()` batches |\n| Archiver | NO | Single UPDATE statement with multiple SET clauses |\n| LDAP Sync | Dependent | Implementation in auth package |\n| Node State Retention | Implicit | `DeleteNodeStatesBefore()` batches |\n\n---\n\n### **FILE LOCATIONS SUMMARY**\n\n**Critical Files:**\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/` - 11 periodic task definitions\n- `/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go` - 5 background workers\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go` - async archiving\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/rest.go` - REST route registration\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go` - NATS subscriptions\n- `/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go` - initialization sequence\n- `/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/server.go` - shutdown sequence"},{"type":"text","text":"agentId: a5a9b60b3b5a2afcf (for resuming to continue this agent's work if needed)\n<usage>total_tokens: 74431\ntool_uses: 31\nduration_ms: 85216</usage>"}]}]},"uuid":"7db18647-1759-41ac-94c1-d055b54e49db","timestamp":"2026-03-16T10:20:09.320Z","toolUseResult":{"status":"completed","prompt":"Explore the cc-backend codebase to find all periodic/scheduled tasks and background goroutines that write to the SQLite database. Look for:\n\n1. Goroutines started with `go func()` that do DB writes\n2. Ticker/timer-based loops that write to the DB\n3. Archiving operations that write to the DB\n4. Retention/cleanup operations\n5. Any cron-like scheduled operations\n\nSearch in:\n- cmd/cc-backend/ (main entry point, initialization)\n- internal/archiver/\n- internal/taskmanager/ or similar\n- internal/repository/\n- Any file with \"schedule\", \"ticker\", \"cron\", \"periodic\", \"retention\", \"cleanup\" patterns\n\nFor each, note the frequency, what DB operations it performs, and whether those operations are already batched/transacted.\n\nAlso look at the REST API file internal/api/rest.go to understand all registered routes and which ones do DB writes.","agentId":"a5a9b60b3b5a2afcf","content":[{"type":"text","text":"Perfect! Now I have gathered comprehensive information. Let me create a detailed summary of all the findings.\n\n## Summary Report: Periodic/Scheduled Tasks and Background Goroutines in cc-backend\n\nI've completed a comprehensive exploration of the cc-backend codebase to identify all periodic/scheduled tasks and background goroutines that write to SQLite. Here's the complete findings:\n\n---\n\n### **TASK MANAGER (gocron-based scheduler)**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/`\n\nThe main scheduler is initialized in `main.go` line 374:\n```go\ntaskmanager.Start(ccconf.GetPackageConfig(\"cron\"), ccconf.GetPackageConfig(\"archive\"))\n```\n\n#### **1. Commit Job Service (commitJobService.go)**\n- **Frequency:** Default 2 minutes (configurable via `commit-job-worker`)\n- **DB Operation:** `jobRepo.SyncJobs()` + callback hooks\n- **Type:** Duration-based job (gocron.DurationJob)\n- **Batching:** Handled via SyncJobs() call\n- **Details:** Syncs job cache and triggers job start hooks\n\n#### **2. Update Duration Worker (updateDurationService.go)**\n- **Frequency:** Default 5 minutes (configurable via `duration-worker`)\n- **DB Operation:** `jobRepo.UpdateDuration()`\n- **Type:** Duration-based job\n- **Batching:** Single call, likely batches updates internally\n- **Details:** Updates job duration fields in DB\n\n#### **3. Footprint Update Worker (updateFootprintService.go)**\n- **Frequency:** Default 10 minutes (configurable via `footprint-worker`)\n- **DB Operation:** Multiple per-cluster database updates using transactions\n  - Uses `jobRepo.TransactionInit()`, `jobRepo.TransactionAdd()`, `jobRepo.TransactionEnd()`\n  - Updates job statistics (avg/min/max) for running jobs\n- **Batching:** Proper transaction batching per cluster\n- **Details:** \n  - Iterates through all clusters and running jobs\n  - Loads metrics from metric stores\n  - Builds UPDATE statements and batches them per cluster\n  - Uses transactions to apply all updates atomically\n\n#### **4. Stop Jobs Exceeding Walltime (stopJobsExceedTime.go)**\n- **Frequency:** Daily at 3:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.StopJobsExceedingWalltimeBy(duration)` + GC\n- **Type:** Daily job (gocron.DailyJob)\n- **Batching:** Handled internally by repository function\n- **Conditional:** Only runs if `config.Keys.StopJobsExceedingWalltime > 0`\n\n#### **5. Retention Delete Service (retentionService.go)**\n- **Frequency:** Daily at 3:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.FindJobsBetween()` + `jobRepo.DeleteJobsBefore()` + `jobRepo.Optimize()`\n- **Type:** Daily job\n- **Batching:** Deletes are batched via `DeleteJobsBefore()`\n- **Conditional:** Only if retention policy = \"delete\"\n- **Details:** Deletes archived jobs older than configured age\n\n#### **6. Retention Copy Service (retentionService.go)**\n- **Frequency:** Daily at 4:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.FindJobsBetween()` (no DB writes, only archive operations)\n- **Type:** Daily job\n- **Conditional:** Only if retention policy = \"copy\"\n- **Details:** Copies jobs to secondary backend without DB deletions\n\n#### **7. Retention Move Service (retentionService.go)**\n- **Frequency:** Daily at 5:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.FindJobsBetween()` + `jobRepo.DeleteJobsBefore()` + `jobRepo.Optimize()`\n- **Type:** Daily job\n- **Batching:** Deletes are batched\n- **Conditional:** Only if retention policy = \"move\"\n- **Details:** Moves jobs to secondary backend then deletes from DB\n\n#### **8. Compression Service (compressionService.go)**\n- **Frequency:** Daily at 5:00 AM (hardcoded, conflicts with move service)\n- **DB Operation:** `jobRepo.FindJobsBetween()` (no DB writes, only archive compression)\n- **Type:** Daily job\n- **Details:** Compresses old archived jobs\n- **Always enabled:** Even without explicit retention config\n\n#### **9. LDAP Sync Service (ldapSyncService.go)**\n- **Frequency:** Configurable via `LdapConfig.SyncInterval`\n- **DB Operation:** `auth.LdapAuth.Sync()` (user table updates, not job-related)\n- **Type:** Duration-based job\n- **Conditional:** Only if LDAP is configured\n\n#### **10. Node State Retention Delete Service (nodestateRetentionService.go)**\n- **Frequency:** Daily at 2:00 AM (hardcoded)\n- **DB Operation:** `nodeRepo.DeleteNodeStatesBefore(cutoff)`\n- **Type:** Daily job\n- **Conditional:** Only if `config.Keys.NodeStateRetention.Policy == \"delete\"`\n- **Details:** Deletes node state records older than configured age (default 24 hours)\n\n#### **11. Node State Retention Move Service (nodestateRetentionService.go)**\n- **Frequency:** Daily at 2:30 AM (hardcoded)\n- **DB Operation:** `nodeRepo.FindNodeStatesBefore()` + `nodeRepo.DeleteNodeStatesBefore()`\n- **Type:** Daily job\n- **Conditional:** Only if `config.Keys.NodeStateRetention.Policy == \"move\"`\n- **Details:** Archives node states to Parquet then deletes from DB\n\n---\n\n### **METRIC STORE BACKGROUND WORKERS**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/`\n\nInitialized in `main.go` line 343:\n```go\nmetricstore.Init(mscfg, metrics, &wg)\n```\n\nThese goroutines run concurrently and handle metric data persistence. **Note: These do NOT directly write to the SQLite job/node database, but they handle metric checkpoint persistence to disk.**\n\n#### **1. Checkpointing Worker (checkpoint.go:94)**\n- **Frequency:** 12 hours (default, configurable via `checkpoint-interval`)\n- **Operation:** Periodic metric data checkpoints to JSON or binary WAL format\n- **Type:** Duration-based ticker\n- **Details:**\n  - Saves in-memory metric buffers to disk\n  - Two formats: JSON (human-readable) or WAL+binary (crash-safe)\n  - Uses worker pool with `Keys.NumWorkers` (default: min(CPU/2+1, 10))\n  - Rotates WAL files after successful checkpoint\n\n#### **2. WAL Staging Worker (walCheckpoint.go:118)**\n- **Frequency:** Continuous (processes messages from channel)\n- **Operation:** Writes individual metric entries to write-ahead logs\n- **Type:** Channel-based message processor\n- **Details:**\n  - Processes `WALMessages` channel (from line protocol ingestion)\n  - Writes binary WAL records to per-host WAL files\n  - Manages file handles for efficient buffering\n  - Handles WAL rotation on command\n\n#### **3. Retention Worker (metricstore.go:320)**\n- **Frequency:** Half of `Keys.RetentionInMemory` interval\n- **Operation:** Frees in-memory metric buffers older than retention period\n- **Type:** Duration-based ticker\n- **Details:**\n  - Calls `Free(ms, t)` to remove old data from memory\n  - Cleans buffer pool with `bufferPool.Clean()`\n  - Does NOT write to SQLite, only memory management\n\n#### **4. Cleanup Worker (archive.go:23)**\n- **Frequency:** `Keys.RetentionInMemory` interval\n- **Operation:** Either archives or deletes old checkpoint files\n- **Type:** Duration-based ticker\n- **Modes:** \n  - \"archive\": Moves old checkpoint files to Parquet format\n  - \"delete\": Deletes old checkpoint files\n- **Details:**\n  - Uses worker pool for parallel processing\n  - Supports both local filesystem and S3 targets\n  - Runs daily cleanup job\n\n#### **5. Memory Usage Tracker (metricstore.go:383)**\n- **Frequency:** `DefaultMemoryUsageTrackerInterval` (appears to be 5-10 min based on code)\n- **Operation:** Monitors memory usage, force-frees buffers if exceeding cap\n- **Type:** Duration-based ticker\n- **Details:**\n  - Checks `runtime.MemStats.Alloc`\n  - Force-frees buffers if memory cap exceeded\n  - Calls `debug.FreeOSMemory()` to return memory to OS\n  - Does NOT write to SQLite\n\n---\n\n### **ARCHIVER BACKGROUND WORKER**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go`\n\n**Initialization:** `main.go` line 373:\n```go\narchiver.Start(repository.GetJobRepository(), ctx)\n```\n\n#### **Archiving Worker (archiveWorker.go:110)**\n- **Frequency:** On-demand (triggered by `TriggerArchiving()` calls)\n- **DB Operations:**\n  - `jobRepo.FetchMetadata(job)` - read\n  - `ArchiveJob(job, ctx)` - archive to external storage\n  - `jobRepo.UpdateFootprint(stmt, jobMeta)` - **writes**\n  - `jobRepo.UpdateEnergy(stmt, jobMeta)` - **writes**\n  - `jobRepo.MarkArchived(stmt, status)` - **writes**\n  - `jobRepo.Execute(stmt)` - executes composite update\n- **Type:** Channel-based consumer (buffered channel, capacity 128)\n- **Batching:** Single UPDATE statement with multiple SET clauses\n- **Trigger Points:**\n  - Called when job stops (via REST API `/api/jobs/stop_job/`)\n  - Called when job stops via NATS API\n- **Details:**\n  - Processes archiving asynchronously\n  - Uses `sync.WaitGroup` for graceful shutdown\n  - Updates job statistics (footprint, energy, monitoring status) atomically\n  - Calls job stop hooks after successful archiving\n\n---\n\n### **REST API ENDPOINTS THAT WRITE TO DATABASE**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/`\n\n#### **Job Start Endpoint** (`job.go:717`)\n- **Path:** `POST/PUT /api/jobs/start_job/`\n- **DB Operations:**\n  - `jobRepo.FindAll()` - check for duplicates (read)\n  - `jobRepo.StartDirect()` or `jobRepo.Start()` - **inserts new job**\n  - `jobRepo.AddTagOrCreate()` - **adds tags** (if provided)\n- **Concurrency:** Uses `RepositoryMutex` to prevent race conditions on duplicate checks\n- **Batching:** Individual calls, not explicitly batched\n- **Async:** Tag addition is async (after response)\n\n#### **Job Stop Endpoint** (`job.go:805`)\n- **Path:** `POST/PUT /api/jobs/stop_job/`\n- **DB Operations:**\n  - `jobRepo.FindCached()` or `jobRepo.Find()` - read\n  - `checkAndHandleStopJob()` - updates job state (line 1000+)\n  - Triggers `archiver.TriggerArchiving()` - queues async archiving\n- **Details:** Moves job to stopped state, triggers async archiving\n\n#### **Update Node States Endpoint** (`node.go:71`)\n- **Path:** `POST/PUT /api/nodestate/`\n- **DB Operations:**\n  - `nodeRepo.InsertNodeStateBegin()` - **starts transaction**\n  - `nodeRepo.InsertNodeState()` - **inserts node states** (batched per subcluster)\n  - `nodeRepo.InsertNodeStateEnd()` - **commits transaction**\n- **Batching:** Per-subcluster transactions\n- **Details:** Updates node allocation/state information\n\n#### **Tag Job Endpoint** (`job.go:545`)\n- **Path:** `POST/PATCH /api/jobs/tag_job/{id}`\n- **DB Operations:** `jobRepo.AddTagOrCreate()` - **inserts/creates tags**\n- **Batching:** No explicit batching\n\n#### **Remove Tag Endpoint** (`job.go:609`)\n- **Path:** `DELETE /api/jobs/tag_job/{id}`\n- **DB Operations:** Tag removal operations\n- **Batching:** No explicit batching\n\n#### **Delete Job Endpoints** (`job.go:852, 897, 950`)\n- **Paths:** \n  - `DELETE /api/jobs/delete_job/{id}`\n  - `DELETE /api/jobs/delete_job/`\n  - `DELETE /api/jobs/delete_job_before/{ts}`\n- **DB Operations:** `jobRepo.Delete*()` functions\n- **Details:** Remove jobs from database\n\n#### **Edit Meta Endpoint** (`job.go`)\n- **Path:** `PATCH /api/jobs/edit_meta/{id}`\n- **DB Operations:** Updates job metadata\n- **Details:** User-facing metadata updates\n\n---\n\n### **NATS API SUBSCRIPTIONS** (Alternative to REST)\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go`\n\n**Initialization:** `server.go:282-287` - conditionally started if `config.Keys.APISubjects` configured\n\n#### **Job Event Subscription** (`nats.go:146`)\n- **Subject:** `config.Keys.APISubjects.SubjectJobEvent` (e.g., \"cc.job.event\")\n- **Message Format:** InfluxDB line protocol with JSON payload\n- **Operations:** Same as REST endpoints (start_job, stop_job)\n- **Concurrency Control:** Uses semaphore (`jobSem` buffer of 8) to limit concurrent processing\n- **Details:** Asynchronous job processing via NATS messages\n\n#### **Node State Subscription** (`nats.go`)\n- **Subject:** `config.Keys.APISubjects.SubjectNodeState` (e.g., \"cc.node.state\")\n- **Operations:** Same as REST node state updates\n- **Concurrency Control:** Uses semaphore (`nodeSem` buffer of 2)\n\n---\n\n### **INITIALIZATION AND SHUTDOWN FLOW**\n\n**Main Startup Sequence:** (`main.go` lines 343-374)\n1. `metricstore.Init()` - starts 5 background workers\n2. `archiver.Start()` - starts archiving worker goroutine\n3. `taskmanager.Start()` - starts gocron scheduler with 11 periodic tasks\n\n**Graceful Shutdown Sequence:** (`server.go:418-441`)\n1. Server shutdown (30s timeout)\n2. NATS client close\n3. `metricstore.Shutdown()` - cancels metric worker contexts\n4. `archiver.Shutdown(10s)` - waits for pending archiving jobs with timeout\n5. `taskmanager.Shutdown()` - stops gocron scheduler\n\n---\n\n### **TRANSACTION/BATCHING SUMMARY**\n\n| Component | Uses Transactions | Batching Strategy |\n|-----------|-------------------|-------------------|\n| Footprint Worker | YES (per-cluster) | Builds update statements, executes in transaction |\n| Node State Updates | YES (per-subcluster) | `InsertNodeStateBegin/End` wrapper |\n| Job Start | NO | Individual insert (has mutex for duplicate prevention) |\n| Job Stop | NO | Async archiving triggered separately |\n| Retention Delete | Implicit | `DeleteJobsBefore()` handles batching |\n| Stop Jobs Exceed | Implicit | `StopJobsExceedingWalltimeBy()` batches |\n| Archiver | NO | Single UPDATE statement with multiple SET clauses |\n| LDAP Sync | Dependent | Implementation in auth package |\n| Node State Retention | Implicit | `DeleteNodeStatesBefore()` batches |\n\n---\n\n### **FILE LOCATIONS SUMMARY**\n\n**Critical Files:**\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/` - 11 periodic task definitions\n- `/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go` - 5 background workers\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go` - async archiving\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/rest.go` - REST route registration\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go` - NATS subscriptions\n- `/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go` - initialization sequence\n- `/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/server.go` - shutdown sequence"}],"totalDurationMs":85216,"totalTokens":74431,"totalToolUseCount":31,"usage":{"input_tokens":0,"cache_creation_input_tokens":2249,"cache_read_input_tokens":67937,"output_tokens":4245,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":2249},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"f0935097-6b79-44e4-81d4-4ce525f0f4f3","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"31a6461a-2879-4aad-914b-acdc223c3944","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01UciAyMdYFRwbswUMPwitfW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NPCSF89CyztSbhAD6AQGZK","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":14662,"cache_read_input_tokens":79778,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":14662},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6bCoSb5mSW7BQj8rUfE","type":"assistant","uuid":"f7a0639e-a4dc-4206-a497-ea38bbed526d","timestamp":"2026-03-16T10:20:15.643Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"f7a0639e-a4dc-4206-a497-ea38bbed526d","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01NPCSF89CyztSbhAD6AQGZK","toolUseID":"toolu_01NPCSF89CyztSbhAD6AQGZK","timestamp":"2026-03-16T10:20:15.650Z","uuid":"b483e11b-ea24-4887-9f59-9b70bc1863e6","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"f7a0639e-a4dc-4206-a497-ea38bbed526d","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NPCSF89CyztSbhAD6AQGZK","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package repository provides data access and persistence layer for ClusterCockpit.\n     7→//\n     8→// This file implements tag management functionality for job categorization and classification.\n     9→// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n    10→// (via tagger plugins). The implementation includes role-based access control through\n    11→// tag scopes and maintains bidirectional consistency between the SQL database and\n    12→// the file-based job archive.\n    13→//\n    14→// Database Schema:\n    15→//\n    16→//\tCREATE TABLE tag (\n    17→//\t    id INTEGER PRIMARY KEY AUTOINCREMENT,\n    18→//\t    tag_type VARCHAR(255) NOT NULL,\n    19→//\t    tag_name VARCHAR(255) NOT NULL,\n    20→//\t    tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n    21→//\t    CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n    22→//\t);\n    23→//\n    24→//\tCREATE TABLE jobtag (\n    25→//\t    job_id INTEGER,\n    26→//\t    tag_id INTEGER,\n    27→//\t    PRIMARY KEY (job_id, tag_id),\n    28→//\t    FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n    29→//\t    FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n    30→//\t);\n    31→//\n    32→// The jobtag junction table enables many-to-many relationships between jobs and tags.\n    33→// CASCADE deletion ensures referential integrity when jobs or tags are removed.\n    34→package repository\n    35→\n    36→import (\n    37→\t\"errors\"\n    38→\t\"fmt\"\n    39→\t\"strings\"\n    40→\n    41→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    42→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    43→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    44→\tsq \"github.com/Masterminds/squirrel\"\n    45→)\n    46→\n    47→// Tag Scope Rules:\n    48→//\n    49→// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n    50→//\n    51→//  1. \"global\" - Visible to all users, can be used by anyone\n    52→//     Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n    53→//\n    54→//  2. \"private\" - Only visible to the creating user\n    55→//     Example: Personal notes like \"needs-review\", \"interesting-case\"\n    56→//\n    57→//  3. \"admin\" - Only visible to users with admin or support roles\n    58→//     Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n    59→//\n    60→// Authorization Rules:\n    61→//   - Regular users can only create/see \"global\" and their own \"private\" tags\n    62→//   - Admin/Support can create/see all scopes including \"admin\" tags\n    63→//   - Users can only add tags to jobs they have permission to view\n    64→//   - Tag scope is enforced at query time in GetTags() and CountTags()\n    65→\n    66→// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n    67→// Requires user authentication for security checks.\n    68→//\n    69→// The user must have permission to view the job. Tag visibility is determined by scope:\n    70→//   - \"global\" tags: visible to all users\n    71→//   - \"private\" tags: only visible to the tag creator\n    72→//   - \"admin\" tags: only visible to admin/support users\n    73→func (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n    74→\tj, err := r.FindByIDWithUser(user, job)\n    75→\tif err != nil {\n    76→\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n    77→\t\treturn nil, err\n    78→\t}\n    79→\n    80→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n    81→\t\treturn r.GetTags(user, &job)\n    82→\t})\n    83→}\n    84→\n    85→// AddTagDirect adds a tag without user security checks.\n    86→// Use only for internal/admin operations.\n    87→func (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n    88→\tj, err := r.FindByIDDirect(job)\n    89→\tif err != nil {\n    90→\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n    91→\t\treturn nil, err\n    92→\t}\n    93→\n    94→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n    95→\t\treturn r.GetTagsDirect(&job)\n    96→\t})\n    97→}\n    98→\n    99→// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n   100→// Requires user authentication for security checks. Used by GraphQL API.\n   101→func (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n   102→\tj, err := r.FindByIDWithUser(user, job)\n   103→\tif err != nil {\n   104→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n   105→\t\treturn nil, err\n   106→\t}\n   107→\n   108→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n   109→\n   110→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   111→\t\ts, _, _ := q.ToSql()\n   112→\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n   113→\t\treturn nil, err\n   114→\t}\n   115→\n   116→\ttags, err := r.GetTags(user, &job)\n   117→\tif err != nil {\n   118→\t\tcclog.Warn(\"Error while getting tags for job\")\n   119→\t\treturn nil, err\n   120→\t}\n   121→\n   122→\tarchiveTags, err := r.getArchiveTags(&job)\n   123→\tif err != nil {\n   124→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n   125→\t\treturn nil, err\n   126→\t}\n   127→\n   128→\treturn tags, archive.UpdateTags(j, archiveTags)\n   129→}\n   130→\n   131→// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n   132→// Requires user authentication for security checks. Used by REST API.\n   133→func (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n   134→\t// Get Tag ID to delete\n   135→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   136→\tif !exists {\n   137→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   138→\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   139→\t}\n   140→\n   141→\t// Get Job\n   142→\tj, err := r.FindByIDWithUser(user, job)\n   143→\tif err != nil {\n   144→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n   145→\t\treturn nil, err\n   146→\t}\n   147→\n   148→\t// Handle Delete\n   149→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n   150→\n   151→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   152→\t\ts, _, _ := q.ToSql()\n   153→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n   154→\t\treturn nil, err\n   155→\t}\n   156→\n   157→\ttags, err := r.GetTags(user, &job)\n   158→\tif err != nil {\n   159→\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n   160→\t\treturn nil, err\n   161→\t}\n   162→\n   163→\tarchiveTags, err := r.getArchiveTags(&job)\n   164→\tif err != nil {\n   165→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n   166→\t\treturn nil, err\n   167→\t}\n   168→\n   169→\treturn tags, archive.UpdateTags(j, archiveTags)\n   170→}\n   171→\n   172→// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n   173→//\n   174→// This function is called asynchronously (via goroutine) after removing a tag from the database\n   175→// to synchronize the file-based job archive with the database state. Errors are logged but not\n   176→// returned since this runs in the background.\n   177→//\n   178→// Parameters:\n   179→//   - jobIds: Database IDs of all jobs that had the deleted tag\n   180→//\n   181→// Implementation note: Each job is processed individually to handle partial failures gracefully.\n   182→// If one job fails to update, others will still be processed.\n   183→func (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n   184→\tfor _, j := range jobIds {\n   185→\t\ttags, err := r.getArchiveTags(&j)\n   186→\t\tif err != nil {\n   187→\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n   188→\t\t\tcontinue\n   189→\t\t}\n   190→\n   191→\t\tjob, err := r.FindByIDDirect(j)\n   192→\t\tif err != nil {\n   193→\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n   194→\t\t\tcontinue\n   195→\t\t}\n   196→\n   197→\t\tarchive.UpdateTags(job, tags)\n   198→\t}\n   199→}\n   200→\n   201→// Removes a tag from db by tag info\n   202→// Used by REST API. Does not update tagged jobs in Job archive.\n   203→func (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n   204→\t// Get Tag ID to delete\n   205→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   206→\tif !exists {\n   207→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   208→\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   209→\t}\n   210→\n   211→\treturn r.RemoveTagByID(tagID)\n   212→}\n   213→\n   214→// Removes a tag from db by tag id\n   215→// Used by GraphQL API.\n   216→func (r *JobRepository) RemoveTagByID(tagID int64) error {\n   217→\tjobIds, err := r.FindJobIdsByTag(tagID)\n   218→\tif err != nil {\n   219→\t\treturn err\n   220→\t}\n   221→\n   222→\t// Handle Delete JobTagTable\n   223→\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n   224→\n   225→\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n   226→\t\ts, _, _ := qJobTag.ToSql()\n   227→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n   228→\t\treturn err\n   229→\t}\n   230→\n   231→\t// Handle Delete TagTable\n   232→\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n   233→\n   234→\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n   235→\t\ts, _, _ := qTag.ToSql()\n   236→\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n   237→\t\treturn err\n   238→\t}\n   239→\n   240→\t// asynchronously update archive jobs\n   241→\tgo r.removeTagFromArchiveJobs(jobIds)\n   242→\n   243→\treturn nil\n   244→}\n   245→\n   246→// CreateTag creates a new tag with the specified type, name, and scope.\n   247→// Returns the database ID of the newly created tag.\n   248→//\n   249→// Scope defaults to \"global\" if empty string is provided.\n   250→// Valid scopes: \"global\", \"private\", \"admin\"\n   251→//\n   252→// Example:\n   253→//\n   254→//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\n   255→func (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n   256→\t// Default to \"Global\" scope if none defined\n   257→\tif tagScope == \"\" {\n   258→\t\ttagScope = \"global\"\n   259→\t}\n   260→\n   261→\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n   262→\n   263→\tres, err := q.RunWith(r.stmtCache).Exec()\n   264→\tif err != nil {\n   265→\t\ts, _, _ := q.ToSql()\n   266→\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n   267→\t\treturn 0, err\n   268→\t}\n   269→\n   270→\treturn res.LastInsertId()\n   271→}\n   272→\n   273→// CountTags returns all tags visible to the user and the count of jobs for each tag.\n   274→// Applies scope-based filtering to respect tag visibility rules.\n   275→//\n   276→// Returns:\n   277→//   - tags: slice of tags the user can see\n   278→//   - counts: map of tag name to job count\n   279→//   - err: any error encountered\n   280→func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n   281→\ttags = make([]schema.Tag, 0, 100)\n   282→\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n   283→\tif err != nil {\n   284→\t\treturn nil, nil, err\n   285→\t}\n   286→\tdefer xrows.Close()\n   287→\n   288→\tfor xrows.Next() {\n   289→\t\tvar t schema.Tag\n   290→\t\tif err = xrows.StructScan(&t); err != nil {\n   291→\t\t\treturn nil, nil, err\n   292→\t\t}\n   293→\n   294→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n   295→\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n   296→\t\tif err != nil {\n   297→\t\t\treturn nil, nil, err\n   298→\t\t}\n   299→\t\tif readable {\n   300→\t\t\ttags = append(tags, t)\n   301→\t\t}\n   302→\t}\n   303→\n   304→\tif err := xrows.Err(); err != nil {\n   305→\t\treturn nil, nil, err\n   306→\t}\n   307→\n   308→\t// Query and Count Jobs with attached Tags\n   309→\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n   310→\t\tFrom(\"tag t\").\n   311→\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n   312→\t\tGroupBy(\"t.tag_type, t.tag_name\")\n   313→\n   314→\t// Build scope list for filtering\n   315→\tvar scopeBuilder strings.Builder\n   316→\tscopeBuilder.WriteString(`\"global\"`)\n   317→\tif user != nil {\n   318→\t\tscopeBuilder.WriteString(`,\"`)\n   319→\t\tscopeBuilder.WriteString(user.Username)\n   320→\t\tscopeBuilder.WriteString(`\"`)\n   321→\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n   322→\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n   323→\t\t}\n   324→\t}\n   325→\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n   326→\n   327→\t// Handle Job Ownership\n   328→\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n   329→\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n   330→\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n   331→\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n   332→\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n   333→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n   334→\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n   335→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n   336→\t}\n   337→\n   338→\trows, err := q.RunWith(r.stmtCache).Query()\n   339→\tif err != nil {\n   340→\t\treturn nil, nil, err\n   341→\t}\n   342→\tdefer rows.Close()\n   343→\n   344→\tcounts = make(map[string]int)\n   345→\tfor rows.Next() {\n   346→\t\tvar tagType string\n   347→\t\tvar tagName string\n   348→\t\tvar tagID int\n   349→\t\tvar count int\n   350→\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n   351→\t\t\treturn nil, nil, err\n   352→\t\t}\n   353→\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n   354→\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n   355→\t}\n   356→\terr = rows.Err()\n   357→\n   358→\treturn tags, counts, err\n   359→}\n   360→\n   361→var (\n   362→\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n   363→\tErrTagNotFound = errors.New(\"the tag does not exist\")\n   364→\n   365→\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n   366→\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n   367→\n   368→\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n   369→\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n   370→\n   371→\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n   372→\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n   373→\n   374→\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n   375→\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n   376→\n   377→\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n   378→\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n   379→)\n   380→\n   381→// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n   382→//\n   383→// This function performs three operations atomically:\n   384→//  1. Inserts the job-tag association into the jobtag junction table\n   385→//  2. Retrieves the updated tag list for the job (using the provided getTags callback)\n   386→//  3. Updates the job archive with the new tags to maintain database-archive consistency\n   387→//\n   388→// Parameters:\n   389→//   - jobId: Database ID of the job\n   390→//   - tagId: Database ID of the tag to associate\n   391→//   - job: Full job object needed for archive update\n   392→//   - getTags: Callback function to retrieve updated tags (allows different security contexts)\n   393→//\n   394→// Returns the complete updated tag list for the job or an error.\n   395→//\n   396→// Note: This function does NOT validate tag scope permissions - callers must perform\n   397→// authorization checks before invoking this helper.\n   398→func (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n   399→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n   400→\n   401→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   402→\t\ts, _, _ := q.ToSql()\n   403→\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n   404→\t\treturn nil, err\n   405→\t}\n   406→\n   407→\ttags, err := getTags()\n   408→\tif err != nil {\n   409→\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n   410→\t\treturn nil, err\n   411→\t}\n   412→\n   413→\tarchiveTags, err := r.getArchiveTags(&jobID)\n   414→\tif err != nil {\n   415→\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n   416→\t\treturn nil, err\n   417→\t}\n   418→\n   419→\treturn tags, archive.UpdateTags(job, archiveTags)\n   420→}\n   421→\n   422→// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n   423→// If such a tag does not yet exist, it is created.\n   424→func (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n   425→\t// Default to \"Global\" scope if none defined\n   426→\tif tagScope == \"\" {\n   427→\t\ttagScope = \"global\"\n   428→\t}\n   429→\n   430→\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n   431→\tif err != nil {\n   432→\t\treturn 0, err\n   433→\t}\n   434→\tif !writable {\n   435→\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n   436→\t}\n   437→\n   438→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   439→\tif !exists {\n   440→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n   441→\t\tif err != nil {\n   442→\t\t\treturn 0, err\n   443→\t\t}\n   444→\t}\n   445→\n   446→\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n   447→\t\treturn 0, err\n   448→\t}\n   449→\n   450→\treturn tagID, nil\n   451→}\n   452→\n   453→func (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n   454→\ttagScope := \"global\"\n   455→\n   456→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   457→\tif !exists {\n   458→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n   459→\t\tif err != nil {\n   460→\t\t\treturn 0, err\n   461→\t\t}\n   462→\t}\n   463→\n   464→\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n   465→\n   466→\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n   467→\t\treturn 0, err\n   468→\t}\n   469→\n   470→\treturn tagID, nil\n   471→}\n   472→\n   473→func (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n   474→\tvar id int64\n   475→\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n   476→\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n   477→\t\tWhere(\"tag.tag_name = ?\", tagName)\n   478→\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n   479→\tif err != nil {\n   480→\t\treturn false\n   481→\t} else {\n   482→\t\treturn true\n   483→\t}\n   484→}\n   485→\n   486→// TagID returns the database id of the tag with the specified type and name.\n   487→func (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n   488→\texists = true\n   489→\tif err := sq.Select(\"id\").From(\"tag\").\n   490→\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n   491→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n   492→\t\texists = false\n   493→\t}\n   494→\treturn\n   495→}\n   496→\n   497→// TagInfo returns the database infos of the tag with the specified id.\n   498→func (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n   499→\texists = true\n   500→\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n   501→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n   502→\t\texists = false\n   503→\t}\n   504→\treturn\n   505→}\n   506→\n   507→// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\n   508→func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n   509→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n   510→\tif job != nil {\n   511→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n   512→\t}\n   513→\n   514→\trows, err := q.RunWith(r.stmtCache).Query()\n   515→\tif err != nil {\n   516→\t\ts, _, _ := q.ToSql()\n   517→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n   518→\t\treturn nil, err\n   519→\t}\n   520→\tdefer rows.Close()\n   521→\n   522→\ttags := make([]*schema.Tag, 0)\n   523→\tfor rows.Next() {\n   524→\t\ttag := &schema.Tag{}\n   525→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n   526→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n   527→\t\t\treturn nil, err\n   528→\t\t}\n   529→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n   530→\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n   531→\t\tif err != nil {\n   532→\t\t\treturn nil, err\n   533→\t\t}\n   534→\t\tif readable {\n   535→\t\t\ttags = append(tags, tag)\n   536→\t\t}\n   537→\t}\n   538→\n   539→\tif err := rows.Err(); err != nil {\n   540→\t\treturn nil, err\n   541→\t}\n   542→\n   543→\treturn tags, nil\n   544→}\n   545→\n   546→func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n   547→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n   548→\tif job != nil {\n   549→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n   550→\t}\n   551→\n   552→\trows, err := q.RunWith(r.stmtCache).Query()\n   553→\tif err != nil {\n   554→\t\ts, _, _ := q.ToSql()\n   555→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n   556→\t\treturn nil, err\n   557→\t}\n   558→\tdefer rows.Close()\n   559→\n   560→\ttags := make([]*schema.Tag, 0)\n   561→\tfor rows.Next() {\n   562→\t\ttag := &schema.Tag{}\n   563→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n   564→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n   565→\t\t\treturn nil, err\n   566→\t\t}\n   567→\t\ttags = append(tags, tag)\n   568→\t}\n   569→\n   570→\tif err := rows.Err(); err != nil {\n   571→\t\treturn nil, err\n   572→\t}\n   573→\n   574→\treturn tags, nil\n   575→}\n   576→\n   577→// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n   578→//\n   579→// This internal function is used exclusively for job archive synchronization where we need\n   580→// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n   581→// filters by scope, this returns the complete unfiltered tag list.\n   582→//\n   583→// Parameters:\n   584→//   - job: Pointer to job database ID, or nil to return all tags in the system\n   585→//\n   586→// Returns all tags without scope filtering, used only for archive operations.\n   587→//\n   588→// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\n   589→func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n   590→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n   591→\tif job != nil {\n   592→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n   593→\t}\n   594→\n   595→\trows, err := q.RunWith(r.stmtCache).Query()\n   596→\tif err != nil {\n   597→\t\ts, _, _ := q.ToSql()\n   598→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n   599→\t\treturn nil, err\n   600→\t}\n   601→\tdefer rows.Close()\n   602→\n   603→\ttags := make([]*schema.Tag, 0)\n   604→\tfor rows.Next() {\n   605→\t\ttag := &schema.Tag{}\n   606→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n   607→\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n   608→\t\t\treturn nil, err\n   609→\t\t}\n   610→\t\ttags = append(tags, tag)\n   611→\t}\n   612→\n   613→\tif err := rows.Err(); err != nil {\n   614→\t\treturn nil, err\n   615→\t}\n   616→\n   617→\treturn tags, nil\n   618→}\n   619→\n   620→func (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n   621→\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n   622→\n   623→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   624→\tif !exists {\n   625→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n   626→\t\tif err != nil {\n   627→\t\t\treturn err\n   628→\t\t}\n   629→\t}\n   630→\n   631→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n   632→\n   633→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   634→\t\ts, _, _ := q.ToSql()\n   635→\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n   636→\t\treturn err\n   637→\t}\n   638→\n   639→\treturn nil\n   640→}\n   641→\n   642→// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n   643→//\n   644→// This function implements the tag scope authorization matrix:\n   645→//\n   646→//\tScope        | Read Access                      | Write Access\n   647→//\t-------------|----------------------------------|----------------------------------\n   648→//\t\"global\"     | All users                        | Admin, Support, API-only\n   649→//\t\"admin\"      | Admin, Support                   | Admin, API-only\n   650→//\t<username>   | Owner only                       | Owner only (private tags)\n   651→//\n   652→// Parameters:\n   653→//   - user: User attempting the operation (must not be nil)\n   654→//   - operation: Either \"read\" or \"write\"\n   655→//   - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n   656→//\n   657→// Returns:\n   658→//   - pass: true if authorized, false if denied\n   659→//   - err: error only if operation is invalid or user is nil\n   660→//\n   661→// Special cases:\n   662→//   - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n   663→//   - Private tags use the username as scope, granting exclusive access to that user\n   664→func (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n   665→\tif user != nil {\n   666→\t\tswitch {\n   667→\t\tcase operation == \"write\" && scope == \"admin\":\n   668→\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n   669→\t\t\t\treturn true, nil\n   670→\t\t\t}\n   671→\t\t\treturn false, nil\n   672→\t\tcase operation == \"write\" && scope == \"global\":\n   673→\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n   674→\t\t\t\treturn true, nil\n   675→\t\t\t}\n   676→\t\t\treturn false, nil\n   677→\t\tcase operation == \"write\" && scope == user.Username:\n   678→\t\t\treturn true, nil\n   679→\t\tcase operation == \"read\" && scope == \"admin\":\n   680→\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n   681→\t\tcase operation == \"read\" && scope == \"global\":\n   682→\t\t\treturn true, nil\n   683→\t\tcase operation == \"read\" && scope == user.Username:\n   684→\t\t\treturn true, nil\n   685→\t\tdefault:\n   686→\t\t\tif operation == \"read\" || operation == \"write\" {\n   687→\t\t\t\t// No acceptable scope: deny tag\n   688→\t\t\t\treturn false, nil\n   689→\t\t\t} else {\n   690→\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n   691→\t\t\t}\n   692→\t\t}\n   693→\t} else {\n   694→\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n   695→\t}\n   696→}\n   697→"}]},"uuid":"eab81478-d796-4621-b2c6-86dea55f106f","timestamp":"2026-03-16T10:20:15.650Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package repository provides data access and persistence layer for ClusterCockpit.\n//\n// This file implements tag management functionality for job categorization and classification.\n// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n// (via tagger plugins). The implementation includes role-based access control through\n// tag scopes and maintains bidirectional consistency between the SQL database and\n// the file-based job archive.\n//\n// Database Schema:\n//\n//\tCREATE TABLE tag (\n//\t    id INTEGER PRIMARY KEY AUTOINCREMENT,\n//\t    tag_type VARCHAR(255) NOT NULL,\n//\t    tag_name VARCHAR(255) NOT NULL,\n//\t    tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n//\t    CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n//\t);\n//\n//\tCREATE TABLE jobtag (\n//\t    job_id INTEGER,\n//\t    tag_id INTEGER,\n//\t    PRIMARY KEY (job_id, tag_id),\n//\t    FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n//\t    FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n//\t);\n//\n// The jobtag junction table enables many-to-many relationships between jobs and tags.\n// CASCADE deletion ensures referential integrity when jobs or tags are removed.\npackage repository\n\nimport (\n\t\"errors\"\n\t\"fmt\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// Tag Scope Rules:\n//\n// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n//\n//  1. \"global\" - Visible to all users, can be used by anyone\n//     Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n//\n//  2. \"private\" - Only visible to the creating user\n//     Example: Personal notes like \"needs-review\", \"interesting-case\"\n//\n//  3. \"admin\" - Only visible to users with admin or support roles\n//     Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n//\n// Authorization Rules:\n//   - Regular users can only create/see \"global\" and their own \"private\" tags\n//   - Admin/Support can create/see all scopes including \"admin\" tags\n//   - Users can only add tags to jobs they have permission to view\n//   - Tag scope is enforced at query time in GetTags() and CountTags()\n\n// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n// Requires user authentication for security checks.\n//\n// The user must have permission to view the job. Tag visibility is determined by scope:\n//   - \"global\" tags: visible to all users\n//   - \"private\" tags: only visible to the tag creator\n//   - \"admin\" tags: only visible to admin/support users\nfunc (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n\t\treturn r.GetTags(user, &job)\n\t})\n}\n\n// AddTagDirect adds a tag without user security checks.\n// Use only for internal/admin operations.\nfunc (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDDirect(job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n\t\treturn r.GetTagsDirect(&job)\n\t})\n}\n\n// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n// Requires user authentication for security checks. Used by GraphQL API.\nfunc (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := r.GetTags(user, &job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting tags for job\")\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(j, archiveTags)\n}\n\n// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n// Requires user authentication for security checks. Used by REST API.\nfunc (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n\t// Get Tag ID to delete\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t}\n\n\t// Get Job\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\t// Handle Delete\n\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := r.GetTags(user, &job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(j, archiveTags)\n}\n\n// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n//\n// This function is called asynchronously (via goroutine) after removing a tag from the database\n// to synchronize the file-based job archive with the database state. Errors are logged but not\n// returned since this runs in the background.\n//\n// Parameters:\n//   - jobIds: Database IDs of all jobs that had the deleted tag\n//\n// Implementation note: Each job is processed individually to handle partial failures gracefully.\n// If one job fails to update, others will still be processed.\nfunc (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n\tfor _, j := range jobIds {\n\t\ttags, err := r.getArchiveTags(&j)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n\t\t\tcontinue\n\t\t}\n\n\t\tjob, err := r.FindByIDDirect(j)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n\t\t\tcontinue\n\t\t}\n\n\t\tarchive.UpdateTags(job, tags)\n\t}\n}\n\n// Removes a tag from db by tag info\n// Used by REST API. Does not update tagged jobs in Job archive.\nfunc (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n\t// Get Tag ID to delete\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t}\n\n\treturn r.RemoveTagByID(tagID)\n}\n\n// Removes a tag from db by tag id\n// Used by GraphQL API.\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n\tjobIds, err := r.FindJobIdsByTag(tagID)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\t// Handle Delete JobTagTable\n\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n\n\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := qJobTag.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\t// Handle Delete TagTable\n\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n\n\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := qTag.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\t// asynchronously update archive jobs\n\tgo r.removeTagFromArchiveJobs(jobIds)\n\n\treturn nil\n}\n\n// CreateTag creates a new tag with the specified type, name, and scope.\n// Returns the database ID of the newly created tag.\n//\n// Scope defaults to \"global\" if empty string is provided.\n// Valid scopes: \"global\", \"private\", \"admin\"\n//\n// Example:\n//\n//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\nfunc (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n\t// Default to \"Global\" scope if none defined\n\tif tagScope == \"\" {\n\t\ttagScope = \"global\"\n\t}\n\n\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n\n\tres, err := q.RunWith(r.stmtCache).Exec()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n\t\treturn 0, err\n\t}\n\n\treturn res.LastInsertId()\n}\n\n// CountTags returns all tags visible to the user and the count of jobs for each tag.\n// Applies scope-based filtering to respect tag visibility rules.\n//\n// Returns:\n//   - tags: slice of tags the user can see\n//   - counts: map of tag name to job count\n//   - err: any error encountered\nfunc (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n\ttags = make([]schema.Tag, 0, 100)\n\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\tdefer xrows.Close()\n\n\tfor xrows.Next() {\n\t\tvar t schema.Tag\n\t\tif err = xrows.StructScan(&t); err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\n\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n\t\tif err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\t\tif readable {\n\t\t\ttags = append(tags, t)\n\t\t}\n\t}\n\n\tif err := xrows.Err(); err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\t// Query and Count Jobs with attached Tags\n\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n\t\tFrom(\"tag t\").\n\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n\t\tGroupBy(\"t.tag_type, t.tag_name\")\n\n\t// Build scope list for filtering\n\tvar scopeBuilder strings.Builder\n\tscopeBuilder.WriteString(`\"global\"`)\n\tif user != nil {\n\t\tscopeBuilder.WriteString(`,\"`)\n\t\tscopeBuilder.WriteString(user.Username)\n\t\tscopeBuilder.WriteString(`\"`)\n\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n\t\t}\n\t}\n\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n\n\t// Handle Job Ownership\n\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts = make(map[string]int)\n\tfor rows.Next() {\n\t\tvar tagType string\n\t\tvar tagName string\n\t\tvar tagID int\n\t\tvar count int\n\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n\t}\n\terr = rows.Err()\n\n\treturn tags, counts, err\n}\n\nvar (\n\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n\tErrTagNotFound = errors.New(\"the tag does not exist\")\n\n\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n\n\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n\n\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n\n\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n\n\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n)\n\n// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n//\n// This function performs three operations atomically:\n//  1. Inserts the job-tag association into the jobtag junction table\n//  2. Retrieves the updated tag list for the job (using the provided getTags callback)\n//  3. Updates the job archive with the new tags to maintain database-archive consistency\n//\n// Parameters:\n//   - jobId: Database ID of the job\n//   - tagId: Database ID of the tag to associate\n//   - job: Full job object needed for archive update\n//   - getTags: Callback function to retrieve updated tags (allows different security contexts)\n//\n// Returns the complete updated tag list for the job or an error.\n//\n// Note: This function does NOT validate tag scope permissions - callers must perform\n// authorization checks before invoking this helper.\nfunc (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := getTags()\n\tif err != nil {\n\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&jobID)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(job, archiveTags)\n}\n\n// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n// If such a tag does not yet exist, it is created.\nfunc (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n\t// Default to \"Global\" scope if none defined\n\tif tagScope == \"\" {\n\t\ttagScope = \"global\"\n\t}\n\n\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\tif !writable {\n\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n\t}\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn 0, err\n\t\t}\n\t}\n\n\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n\t\treturn 0, err\n\t}\n\n\treturn tagID, nil\n}\n\nfunc (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n\ttagScope := \"global\"\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn 0, err\n\t\t}\n\t}\n\n\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n\n\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n\t\treturn 0, err\n\t}\n\n\treturn tagID, nil\n}\n\nfunc (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n\tvar id int64\n\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n\t\tWhere(\"tag.tag_name = ?\", tagName)\n\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n\tif err != nil {\n\t\treturn false\n\t} else {\n\t\treturn true\n\t}\n}\n\n// TagID returns the database id of the tag with the specified type and name.\nfunc (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n\texists = true\n\tif err := sq.Select(\"id\").From(\"tag\").\n\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n\t\texists = false\n\t}\n\treturn\n}\n\n// TagInfo returns the database infos of the tag with the specified id.\nfunc (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n\texists = true\n\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n\t\texists = false\n\t}\n\treturn\n}\n\n// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\nfunc (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tif readable {\n\t\t\ttags = append(tags, tag)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn tags, nil\n}\n\nfunc (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn tags, nil\n}\n\n// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n//\n// This internal function is used exclusively for job archive synchronization where we need\n// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n// filters by scope, this returns the complete unfiltered tag list.\n//\n// Parameters:\n//   - job: Pointer to job database ID, or nil to return all tags in the system\n//\n// Returns all tags without scope filtering, used only for archive operations.\n//\n// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\nfunc (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn tags, nil\n}\n\nfunc (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\n// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n//\n// This function implements the tag scope authorization matrix:\n//\n//\tScope        | Read Access                      | Write Access\n//\t-------------|----------------------------------|----------------------------------\n//\t\"global\"     | All users                        | Admin, Support, API-only\n//\t\"admin\"      | Admin, Support                   | Admin, API-only\n//\t<username>   | Owner only                       | Owner only (private tags)\n//\n// Parameters:\n//   - user: User attempting the operation (must not be nil)\n//   - operation: Either \"read\" or \"write\"\n//   - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n//\n// Returns:\n//   - pass: true if authorized, false if denied\n//   - err: error only if operation is invalid or user is nil\n//\n// Special cases:\n//   - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n//   - Private tags use the username as scope, granting exclusive access to that user\nfunc (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n\tif user != nil {\n\t\tswitch {\n\t\tcase operation == \"write\" && scope == \"admin\":\n\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == \"global\":\n\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == \"admin\":\n\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n\t\tcase operation == \"read\" && scope == \"global\":\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tdefault:\n\t\t\tif operation == \"read\" || operation == \"write\" {\n\t\t\t\t// No acceptable scope: deny tag\n\t\t\t\treturn false, nil\n\t\t\t} else {\n\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n\t\t\t}\n\t\t}\n\t} else {\n\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n\t}\n}\n","numLines":697,"startLine":1,"totalLines":697}},"sourceToolAssistantUUID":"f7a0639e-a4dc-4206-a497-ea38bbed526d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"5078ed1a-9d75-4bee-8ee0-4732ddef3c03","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013Zk9UuLtFGBBW9XKL24U2N","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package archiver provides asynchronous job archiving functionality for ClusterCockpit.\n     7→//\n     8→// The archiver runs a background worker goroutine that processes job archiving requests\n     9→// from a buffered channel. When jobs complete, their metric data is archived from the\n    10→// metric store to the configured archive backend (filesystem, S3, etc.).\n    11→//\n    12→// # Architecture\n    13→//\n    14→// The archiver uses a producer-consumer pattern:\n    15→//   - Producer: TriggerArchiving() sends jobs to archiveChannel\n    16→//   - Consumer: archivingWorker() processes jobs from the channel\n    17→//   - Coordination: sync.WaitGroup tracks pending archive operations\n    18→//\n    19→// # Lifecycle\n    20→//\n    21→//  1. Start(repo, ctx) - Initialize worker with context for cancellation\n    22→//  2. TriggerArchiving(job) - Queue job for archiving (called when job stops)\n    23→//  3. archivingWorker() - Background goroutine processes jobs\n    24→//  4. Shutdown(timeout) - Graceful shutdown with timeout\n    25→//\n    26→// # Graceful Shutdown\n    27→//\n    28→// The archiver supports graceful shutdown with configurable timeout:\n    29→//   - Closes channel to reject new jobs\n    30→//   - Waits for pending jobs to complete (up to timeout)\n    31→//   - Cancels context if timeout exceeded\n    32→//   - Ensures worker goroutine exits cleanly\n    33→//\n    34→// # Example Usage\n    35→//\n    36→//\t// Initialize archiver\n    37→//\tctx, cancel := context.WithCancel(context.Background())\n    38→//\tdefer cancel()\n    39→//\tarchiver.Start(jobRepository, ctx)\n    40→//\n    41→//\t// Trigger archiving when job completes\n    42→//\tarchiver.TriggerArchiving(job)\n    43→//\n    44→//\t// Graceful shutdown with 10 second timeout\n    45→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n    46→//\t    log.Printf(\"Archiver shutdown timeout: %v\", err)\n    47→//\t}\n    48→package archiver\n    49→\n    50→import (\n    51→\t\"context\"\n    52→\t\"fmt\"\n    53→\t\"sync\"\n    54→\t\"time\"\n    55→\n    56→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    57→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    58→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    59→\tsq \"github.com/Masterminds/squirrel\"\n    60→)\n    61→\n    62→var (\n    63→\tarchivePending sync.WaitGroup\n    64→\tarchiveChannel chan *schema.Job\n    65→\tjobRepo        *repository.JobRepository\n    66→\tshutdownCtx    context.Context\n    67→\tshutdownCancel context.CancelFunc\n    68→\tworkerDone     chan struct{}\n    69→)\n    70→\n    71→// Start initializes the archiver and starts the background worker goroutine.\n    72→//\n    73→// The archiver processes job archiving requests asynchronously via a buffered channel.\n    74→// Jobs are sent to the channel using TriggerArchiving() and processed by the worker.\n    75→//\n    76→// Parameters:\n    77→//   - r: JobRepository instance for database operations\n    78→//   - ctx: Context for cancellation (shutdown signal propagation)\n    79→//\n    80→// The worker goroutine will run until:\n    81→//   - ctx is cancelled (via parent shutdown)\n    82→//   - archiveChannel is closed (via Shutdown())\n    83→//\n    84→// Must be called before TriggerArchiving(). Safe to call only once.\n    85→func Start(r *repository.JobRepository, ctx context.Context) {\n    86→\tshutdownCtx, shutdownCancel = context.WithCancel(ctx)\n    87→\tarchiveChannel = make(chan *schema.Job, 128)\n    88→\tworkerDone = make(chan struct{})\n    89→\tjobRepo = r\n    90→\n    91→\tgo archivingWorker()\n    92→}\n    93→\n    94→// archivingWorker is the background goroutine that processes job archiving requests.\n    95→//\n    96→// The worker loop:\n    97→//  1. Blocks waiting for jobs on archiveChannel or shutdown signal\n    98→//  2. Fetches job metadata from repository\n    99→//  3. Archives job data to configured backend (calls ArchiveJob)\n   100→//  4. Updates job footprint and energy metrics in database\n   101→//  5. Marks job as successfully archived\n   102→//  6. Calls job stop hooks\n   103→//\n   104→// The worker exits when:\n   105→//   - shutdownCtx is cancelled (timeout during shutdown)\n   106→//   - archiveChannel is closed (normal shutdown)\n   107→//\n   108→// Errors during archiving are logged and the job is marked as failed,\n   109→// but the worker continues processing other jobs.\n   110→func archivingWorker() {\n   111→\tdefer close(workerDone)\n   112→\n   113→\tfor {\n   114→\t\tselect {\n   115→\t\tcase <-shutdownCtx.Done():\n   116→\t\t\tcclog.Info(\"Archive worker received shutdown signal\")\n   117→\t\t\treturn\n   118→\n   119→\t\tcase job, ok := <-archiveChannel:\n   120→\t\t\tif !ok {\n   121→\t\t\t\tcclog.Info(\"Archive channel closed, worker exiting\")\n   122→\t\t\t\treturn\n   123→\t\t\t}\n   124→\n   125→\t\t\tstart := time.Now()\n   126→\t\t\t// not using meta data, called to load JobMeta into Cache?\n   127→\t\t\t// will fail if job meta not in repository\n   128→\t\t\tif _, err := jobRepo.FetchMetadata(job); err != nil {\n   129→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at check metadata step: %s\", *job.ID, err.Error())\n   130→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n   131→\t\t\t\tarchivePending.Done()\n   132→\t\t\t\tcontinue\n   133→\t\t\t}\n   134→\n   135→\t\t\t// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend\n   136→\t\t\t// Use shutdown context to allow cancellation\n   137→\t\t\tjobMeta, err := ArchiveJob(job, shutdownCtx)\n   138→\t\t\tif err != nil {\n   139→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at archiving job step: %s\", *job.ID, err.Error())\n   140→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n   141→\t\t\t\tarchivePending.Done()\n   142→\t\t\t\tcontinue\n   143→\t\t\t}\n   144→\n   145→\t\t\tstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\n   146→\n   147→\t\t\tif stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {\n   148→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Footprint step: %s\", *job.ID, err.Error())\n   149→\t\t\t\tarchivePending.Done()\n   150→\t\t\t\tcontinue\n   151→\t\t\t}\n   152→\t\t\tif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta); err != nil {\n   153→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Energy step: %s\", *job.ID, err.Error())\n   154→\t\t\t\tarchivePending.Done()\n   155→\t\t\t\tcontinue\n   156→\t\t\t}\n   157→\t\t\t// Update the jobs database entry one last time:\n   158→\t\t\tstmt = jobRepo.MarkArchived(stmt, schema.MonitoringStatusArchivingSuccessful)\n   159→\t\t\tif err := jobRepo.Execute(stmt); err != nil {\n   160→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at db execute: %s\", *job.ID, err.Error())\n   161→\t\t\t\tarchivePending.Done()\n   162→\t\t\t\tcontinue\n   163→\t\t\t}\n   164→\t\t\tcclog.Debugf(\"archiving job %d took %s\", job.JobID, time.Since(start))\n   165→\t\t\tcclog.Infof(\"archiving job (dbid: %d) successful\", *job.ID)\n   166→\n   167→\t\t\trepository.CallJobStopHooks(job)\n   168→\t\t\tarchivePending.Done()\n   169→\t\t}\n   170→\t}\n   171→}\n   172→\n   173→// TriggerArchiving queues a job for asynchronous archiving.\n   174→//\n   175→// This function should be called when a job completes (stops) to archive its\n   176→// metric data from the metric store to the configured archive backend.\n   177→//\n   178→// The function:\n   179→//  1. Increments the pending job counter (WaitGroup)\n   180→//  2. Sends the job to the archiving channel (buffered, capacity 128)\n   181→//  3. Returns immediately (non-blocking unless channel is full)\n   182→//\n   183→// The actual archiving is performed asynchronously by the worker goroutine.\n   184→// Upon completion, the worker will decrement the pending counter.\n   185→//\n   186→// Panics if Start() has not been called first.\n   187→func TriggerArchiving(job *schema.Job) {\n   188→\tif archiveChannel == nil {\n   189→\t\tcclog.Fatal(\"Cannot archive without archiving channel. Did you Start the archiver?\")\n   190→\t}\n   191→\n   192→\tarchivePending.Add(1)\n   193→\tarchiveChannel <- job\n   194→}\n   195→\n   196→// Shutdown performs a graceful shutdown of the archiver with a configurable timeout.\n   197→//\n   198→// The shutdown process:\n   199→//  1. Closes archiveChannel - no new jobs will be accepted\n   200→//  2. Waits for pending jobs to complete (up to timeout duration)\n   201→//  3. If timeout is exceeded:\n   202→//     - Cancels shutdownCtx to interrupt ongoing ArchiveJob operations\n   203→//     - Returns error indicating timeout\n   204→//  4. Waits for worker goroutine to exit cleanly\n   205→//\n   206→// Parameters:\n   207→//   - timeout: Maximum duration to wait for pending jobs to complete\n   208→//     (recommended: 10-30 seconds for production)\n   209→//\n   210→// Returns:\n   211→//   - nil if all jobs completed within timeout\n   212→//   - error if timeout was exceeded (some jobs may not have been archived)\n   213→//\n   214→// Jobs that don't complete within the timeout will be marked as failed.\n   215→// The function always ensures the worker goroutine exits before returning.\n   216→//\n   217→// Example:\n   218→//\n   219→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n   220→//\t    log.Printf(\"Some jobs did not complete: %v\", err)\n   221→//\t}\n   222→func Shutdown(timeout time.Duration) error {\n   223→\tcclog.Info(\"Initiating archiver shutdown...\")\n   224→\n   225→\t// Close channel to signal no more jobs will be accepted\n   226→\tclose(archiveChannel)\n   227→\n   228→\t// Create a channel to signal when all jobs are done\n   229→\tdone := make(chan struct{})\n   230→\tgo func() {\n   231→\t\tarchivePending.Wait()\n   232→\t\tclose(done)\n   233→\t}()\n   234→\n   235→\t// Wait for jobs to complete or timeout\n   236→\tselect {\n   237→\tcase <-done:\n   238→\t\tcclog.Info(\"All archive jobs completed successfully\")\n   239→\t\t// Wait for worker to exit\n   240→\t\t<-workerDone\n   241→\t\treturn nil\n   242→\tcase <-time.After(timeout):\n   243→\t\tcclog.Warn(\"Archiver shutdown timeout exceeded, cancelling remaining operations\")\n   244→\t\t// Cancel any ongoing operations\n   245→\t\tshutdownCancel()\n   246→\t\t// Wait for worker to exit\n   247→\t\t<-workerDone\n   248→\t\treturn fmt.Errorf(\"archiver shutdown timeout after %v\", timeout)\n   249→\t}\n   250→}\n   251→"}]},"uuid":"f93048f8-6f17-4a87-a745-7c4a8fc6fed7","timestamp":"2026-03-16T10:20:16.113Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package archiver provides asynchronous job archiving functionality for ClusterCockpit.\n//\n// The archiver runs a background worker goroutine that processes job archiving requests\n// from a buffered channel. When jobs complete, their metric data is archived from the\n// metric store to the configured archive backend (filesystem, S3, etc.).\n//\n// # Architecture\n//\n// The archiver uses a producer-consumer pattern:\n//   - Producer: TriggerArchiving() sends jobs to archiveChannel\n//   - Consumer: archivingWorker() processes jobs from the channel\n//   - Coordination: sync.WaitGroup tracks pending archive operations\n//\n// # Lifecycle\n//\n//  1. Start(repo, ctx) - Initialize worker with context for cancellation\n//  2. TriggerArchiving(job) - Queue job for archiving (called when job stops)\n//  3. archivingWorker() - Background goroutine processes jobs\n//  4. Shutdown(timeout) - Graceful shutdown with timeout\n//\n// # Graceful Shutdown\n//\n// The archiver supports graceful shutdown with configurable timeout:\n//   - Closes channel to reject new jobs\n//   - Waits for pending jobs to complete (up to timeout)\n//   - Cancels context if timeout exceeded\n//   - Ensures worker goroutine exits cleanly\n//\n// # Example Usage\n//\n//\t// Initialize archiver\n//\tctx, cancel := context.WithCancel(context.Background())\n//\tdefer cancel()\n//\tarchiver.Start(jobRepository, ctx)\n//\n//\t// Trigger archiving when job completes\n//\tarchiver.TriggerArchiving(job)\n//\n//\t// Graceful shutdown with 10 second timeout\n//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n//\t    log.Printf(\"Archiver shutdown timeout: %v\", err)\n//\t}\npackage archiver\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nvar (\n\tarchivePending sync.WaitGroup\n\tarchiveChannel chan *schema.Job\n\tjobRepo        *repository.JobRepository\n\tshutdownCtx    context.Context\n\tshutdownCancel context.CancelFunc\n\tworkerDone     chan struct{}\n)\n\n// Start initializes the archiver and starts the background worker goroutine.\n//\n// The archiver processes job archiving requests asynchronously via a buffered channel.\n// Jobs are sent to the channel using TriggerArchiving() and processed by the worker.\n//\n// Parameters:\n//   - r: JobRepository instance for database operations\n//   - ctx: Context for cancellation (shutdown signal propagation)\n//\n// The worker goroutine will run until:\n//   - ctx is cancelled (via parent shutdown)\n//   - archiveChannel is closed (via Shutdown())\n//\n// Must be called before TriggerArchiving(). Safe to call only once.\nfunc Start(r *repository.JobRepository, ctx context.Context) {\n\tshutdownCtx, shutdownCancel = context.WithCancel(ctx)\n\tarchiveChannel = make(chan *schema.Job, 128)\n\tworkerDone = make(chan struct{})\n\tjobRepo = r\n\n\tgo archivingWorker()\n}\n\n// archivingWorker is the background goroutine that processes job archiving requests.\n//\n// The worker loop:\n//  1. Blocks waiting for jobs on archiveChannel or shutdown signal\n//  2. Fetches job metadata from repository\n//  3. Archives job data to configured backend (calls ArchiveJob)\n//  4. Updates job footprint and energy metrics in database\n//  5. Marks job as successfully archived\n//  6. Calls job stop hooks\n//\n// The worker exits when:\n//   - shutdownCtx is cancelled (timeout during shutdown)\n//   - archiveChannel is closed (normal shutdown)\n//\n// Errors during archiving are logged and the job is marked as failed,\n// but the worker continues processing other jobs.\nfunc archivingWorker() {\n\tdefer close(workerDone)\n\n\tfor {\n\t\tselect {\n\t\tcase <-shutdownCtx.Done():\n\t\t\tcclog.Info(\"Archive worker received shutdown signal\")\n\t\t\treturn\n\n\t\tcase job, ok := <-archiveChannel:\n\t\t\tif !ok {\n\t\t\t\tcclog.Info(\"Archive channel closed, worker exiting\")\n\t\t\t\treturn\n\t\t\t}\n\n\t\t\tstart := time.Now()\n\t\t\t// not using meta data, called to load JobMeta into Cache?\n\t\t\t// will fail if job meta not in repository\n\t\t\tif _, err := jobRepo.FetchMetadata(job); err != nil {\n\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at check metadata step: %s\", *job.ID, err.Error())\n\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n\t\t\t\tarchivePending.Done()\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\t// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend\n\t\t\t// Use shutdown context to allow cancellation\n\t\t\tjobMeta, err := ArchiveJob(job, shutdownCtx)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at archiving job step: %s\", *job.ID, err.Error())\n\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n\t\t\t\tarchivePending.Done()\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\n\n\t\t\tif stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {\n\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Footprint step: %s\", *job.ID, err.Error())\n\t\t\t\tarchivePending.Done()\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\tif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta); err != nil {\n\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Energy step: %s\", *job.ID, err.Error())\n\t\t\t\tarchivePending.Done()\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\t// Update the jobs database entry one last time:\n\t\t\tstmt = jobRepo.MarkArchived(stmt, schema.MonitoringStatusArchivingSuccessful)\n\t\t\tif err := jobRepo.Execute(stmt); err != nil {\n\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at db execute: %s\", *job.ID, err.Error())\n\t\t\t\tarchivePending.Done()\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\tcclog.Debugf(\"archiving job %d took %s\", job.JobID, time.Since(start))\n\t\t\tcclog.Infof(\"archiving job (dbid: %d) successful\", *job.ID)\n\n\t\t\trepository.CallJobStopHooks(job)\n\t\t\tarchivePending.Done()\n\t\t}\n\t}\n}\n\n// TriggerArchiving queues a job for asynchronous archiving.\n//\n// This function should be called when a job completes (stops) to archive its\n// metric data from the metric store to the configured archive backend.\n//\n// The function:\n//  1. Increments the pending job counter (WaitGroup)\n//  2. Sends the job to the archiving channel (buffered, capacity 128)\n//  3. Returns immediately (non-blocking unless channel is full)\n//\n// The actual archiving is performed asynchronously by the worker goroutine.\n// Upon completion, the worker will decrement the pending counter.\n//\n// Panics if Start() has not been called first.\nfunc TriggerArchiving(job *schema.Job) {\n\tif archiveChannel == nil {\n\t\tcclog.Fatal(\"Cannot archive without archiving channel. Did you Start the archiver?\")\n\t}\n\n\tarchivePending.Add(1)\n\tarchiveChannel <- job\n}\n\n// Shutdown performs a graceful shutdown of the archiver with a configurable timeout.\n//\n// The shutdown process:\n//  1. Closes archiveChannel - no new jobs will be accepted\n//  2. Waits for pending jobs to complete (up to timeout duration)\n//  3. If timeout is exceeded:\n//     - Cancels shutdownCtx to interrupt ongoing ArchiveJob operations\n//     - Returns error indicating timeout\n//  4. Waits for worker goroutine to exit cleanly\n//\n// Parameters:\n//   - timeout: Maximum duration to wait for pending jobs to complete\n//     (recommended: 10-30 seconds for production)\n//\n// Returns:\n//   - nil if all jobs completed within timeout\n//   - error if timeout was exceeded (some jobs may not have been archived)\n//\n// Jobs that don't complete within the timeout will be marked as failed.\n// The function always ensures the worker goroutine exits before returning.\n//\n// Example:\n//\n//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n//\t    log.Printf(\"Some jobs did not complete: %v\", err)\n//\t}\nfunc Shutdown(timeout time.Duration) error {\n\tcclog.Info(\"Initiating archiver shutdown...\")\n\n\t// Close channel to signal no more jobs will be accepted\n\tclose(archiveChannel)\n\n\t// Create a channel to signal when all jobs are done\n\tdone := make(chan struct{})\n\tgo func() {\n\t\tarchivePending.Wait()\n\t\tclose(done)\n\t}()\n\n\t// Wait for jobs to complete or timeout\n\tselect {\n\tcase <-done:\n\t\tcclog.Info(\"All archive jobs completed successfully\")\n\t\t// Wait for worker to exit\n\t\t<-workerDone\n\t\treturn nil\n\tcase <-time.After(timeout):\n\t\tcclog.Warn(\"Archiver shutdown timeout exceeded, cancelling remaining operations\")\n\t\t// Cancel any ongoing operations\n\t\tshutdownCancel()\n\t\t// Wait for worker to exit\n\t\t<-workerDone\n\t\treturn fmt.Errorf(\"archiver shutdown timeout after %v\", timeout)\n\t}\n}\n","numLines":251,"startLine":1,"totalLines":251}},"sourceToolAssistantUUID":"5078ed1a-9d75-4bee-8ee0-4732ddef3c03","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"5c97780c-18a8-4a2a-bda6-c94e058252c8","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_013cwDLaYAaYE58p3bEr4xdp","toolUseID":"toolu_013cwDLaYAaYE58p3bEr4xdp","timestamp":"2026-03-16T10:20:16.434Z","uuid":"93d4ad0b-7ca8-47dd-af1a-cc3fd1fdd5ab","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"5c97780c-18a8-4a2a-bda6-c94e058252c8","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013cwDLaYAaYE58p3bEr4xdp","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package importer\n     7→\n     8→import (\n     9→\t\"bytes\"\n    10→\t\"encoding/json\"\n    11→\t\"fmt\"\n    12→\t\"os\"\n    13→\t\"strings\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    19→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    20→)\n    21→\n    22→// HandleImportFlag imports jobs from file pairs specified in a comma-separated flag string.\n    23→//\n    24→// The flag format is: \"<path-to-meta.json>:<path-to-data.json>[,<path-to-meta2.json>:<path-to-data2.json>,...]\"\n    25→//\n    26→// For each job pair, this function:\n    27→//  1. Reads and validates the metadata JSON file (schema.Job)\n    28→//  2. Reads and validates the job data JSON file (schema.JobData)\n    29→//  3. Enriches the job with calculated footprints and energy metrics\n    30→//  4. Validates the job using SanityChecks()\n    31→//  5. Imports the job into the archive\n    32→//  6. Inserts the job into the database with associated tags\n    33→//\n    34→// Schema validation is performed if config.Keys.Validate is true.\n    35→//\n    36→// Returns an error if file reading, validation, enrichment, or database operations fail.\n    37→// The function stops processing on the first error encountered.\n    38→func HandleImportFlag(flag string) error {\n    39→\tr := repository.GetJobRepository()\n    40→\n    41→\tfor pair := range strings.SplitSeq(flag, \",\") {\n    42→\t\tfiles := strings.Split(pair, \":\")\n    43→\t\tif len(files) != 2 {\n    44→\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > invalid import flag format\")\n    45→\t\t}\n    46→\n    47→\t\traw, err := os.ReadFile(files[0])\n    48→\t\tif err != nil {\n    49→\t\t\tcclog.Warn(\"Error while reading metadata file for import\")\n    50→\t\t\treturn err\n    51→\t\t}\n    52→\n    53→\t\tif config.Keys.Validate {\n    54→\t\t\tif err = schema.Validate(schema.Meta, bytes.NewReader(raw)); err != nil {\n    55→\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job meta: %v\", err)\n    56→\t\t\t}\n    57→\t\t}\n    58→\t\tdec := json.NewDecoder(bytes.NewReader(raw))\n    59→\t\tdec.DisallowUnknownFields()\n    60→\t\tjob := schema.Job{\n    61→\t\t\tShared:           \"none\",\n    62→\t\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n    63→\t\t}\n    64→\t\tif err = dec.Decode(&job); err != nil {\n    65→\t\t\tcclog.Warn(\"Error while decoding raw json metadata for import\")\n    66→\t\t\treturn err\n    67→\t\t}\n    68→\n    69→\t\traw, err = os.ReadFile(files[1])\n    70→\t\tif err != nil {\n    71→\t\t\tcclog.Warn(\"Error while reading jobdata file for import\")\n    72→\t\t\treturn err\n    73→\t\t}\n    74→\n    75→\t\tif config.Keys.Validate {\n    76→\t\t\tif err = schema.Validate(schema.Data, bytes.NewReader(raw)); err != nil {\n    77→\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job data: %v\", err)\n    78→\t\t\t}\n    79→\t\t}\n    80→\t\tdec = json.NewDecoder(bytes.NewReader(raw))\n    81→\t\tdec.DisallowUnknownFields()\n    82→\t\tjobData := schema.JobData{}\n    83→\t\tif err = dec.Decode(&jobData); err != nil {\n    84→\t\t\tcclog.Warn(\"Error while decoding raw json jobdata for import\")\n    85→\t\t\treturn err\n    86→\t\t}\n    87→\n    88→\t\tjob.MonitoringStatus = schema.MonitoringStatusArchivingSuccessful\n    89→\n    90→\t\tif err = enrichJobMetadata(&job); err != nil {\n    91→\t\t\tcclog.Errorf(\"Error enriching job metadata: %v\", err)\n    92→\t\t\treturn err\n    93→\t\t}\n    94→\n    95→\t\tif err = SanityChecks(&job); err != nil {\n    96→\t\t\tcclog.Warn(\"BaseJob SanityChecks failed\")\n    97→\t\t\treturn err\n    98→\t\t}\n    99→\n   100→\t\tif err = archive.GetHandle().ImportJob(&job, &jobData); err != nil {\n   101→\t\t\tcclog.Error(\"Error while importing job\")\n   102→\t\t\treturn err\n   103→\t\t}\n   104→\n   105→\t\tid, err := r.InsertJobDirect(&job)\n   106→\t\tif err != nil {\n   107→\t\t\tcclog.Warn(\"Error while job db insert\")\n   108→\t\t\treturn err\n   109→\t\t}\n   110→\n   111→\t\tfor _, tag := range job.Tags {\n   112→\t\t\tif err := r.ImportTag(id, tag.Type, tag.Name, tag.Scope); err != nil {\n   113→\t\t\t\tcclog.Error(\"Error while adding or creating tag on import\")\n   114→\t\t\t\treturn err\n   115→\t\t\t}\n   116→\t\t}\n   117→\n   118→\t\tcclog.Infof(\"successfully imported a new job (jobId: %d, cluster: %s, dbid: %d)\", job.JobID, job.Cluster, id)\n   119→\t}\n   120→\treturn nil\n   121→}\n   122→"}]},"uuid":"1c544148-1fc4-481e-a535-848ba4734d66","timestamp":"2026-03-16T10:20:16.434Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage importer\n\nimport (\n\t\"bytes\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// HandleImportFlag imports jobs from file pairs specified in a comma-separated flag string.\n//\n// The flag format is: \"<path-to-meta.json>:<path-to-data.json>[,<path-to-meta2.json>:<path-to-data2.json>,...]\"\n//\n// For each job pair, this function:\n//  1. Reads and validates the metadata JSON file (schema.Job)\n//  2. Reads and validates the job data JSON file (schema.JobData)\n//  3. Enriches the job with calculated footprints and energy metrics\n//  4. Validates the job using SanityChecks()\n//  5. Imports the job into the archive\n//  6. Inserts the job into the database with associated tags\n//\n// Schema validation is performed if config.Keys.Validate is true.\n//\n// Returns an error if file reading, validation, enrichment, or database operations fail.\n// The function stops processing on the first error encountered.\nfunc HandleImportFlag(flag string) error {\n\tr := repository.GetJobRepository()\n\n\tfor pair := range strings.SplitSeq(flag, \",\") {\n\t\tfiles := strings.Split(pair, \":\")\n\t\tif len(files) != 2 {\n\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > invalid import flag format\")\n\t\t}\n\n\t\traw, err := os.ReadFile(files[0])\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while reading metadata file for import\")\n\t\t\treturn err\n\t\t}\n\n\t\tif config.Keys.Validate {\n\t\t\tif err = schema.Validate(schema.Meta, bytes.NewReader(raw)); err != nil {\n\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job meta: %v\", err)\n\t\t\t}\n\t\t}\n\t\tdec := json.NewDecoder(bytes.NewReader(raw))\n\t\tdec.DisallowUnknownFields()\n\t\tjob := schema.Job{\n\t\t\tShared:           \"none\",\n\t\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t\t}\n\t\tif err = dec.Decode(&job); err != nil {\n\t\t\tcclog.Warn(\"Error while decoding raw json metadata for import\")\n\t\t\treturn err\n\t\t}\n\n\t\traw, err = os.ReadFile(files[1])\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while reading jobdata file for import\")\n\t\t\treturn err\n\t\t}\n\n\t\tif config.Keys.Validate {\n\t\t\tif err = schema.Validate(schema.Data, bytes.NewReader(raw)); err != nil {\n\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job data: %v\", err)\n\t\t\t}\n\t\t}\n\t\tdec = json.NewDecoder(bytes.NewReader(raw))\n\t\tdec.DisallowUnknownFields()\n\t\tjobData := schema.JobData{}\n\t\tif err = dec.Decode(&jobData); err != nil {\n\t\t\tcclog.Warn(\"Error while decoding raw json jobdata for import\")\n\t\t\treturn err\n\t\t}\n\n\t\tjob.MonitoringStatus = schema.MonitoringStatusArchivingSuccessful\n\n\t\tif err = enrichJobMetadata(&job); err != nil {\n\t\t\tcclog.Errorf(\"Error enriching job metadata: %v\", err)\n\t\t\treturn err\n\t\t}\n\n\t\tif err = SanityChecks(&job); err != nil {\n\t\t\tcclog.Warn(\"BaseJob SanityChecks failed\")\n\t\t\treturn err\n\t\t}\n\n\t\tif err = archive.GetHandle().ImportJob(&job, &jobData); err != nil {\n\t\t\tcclog.Error(\"Error while importing job\")\n\t\t\treturn err\n\t\t}\n\n\t\tid, err := r.InsertJobDirect(&job)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while job db insert\")\n\t\t\treturn err\n\t\t}\n\n\t\tfor _, tag := range job.Tags {\n\t\t\tif err := r.ImportTag(id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\t\tcclog.Error(\"Error while adding or creating tag on import\")\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\n\t\tcclog.Infof(\"successfully imported a new job (jobId: %d, cluster: %s, dbid: %d)\", job.JobID, job.Cluster, id)\n\t}\n\treturn nil\n}\n","numLines":122,"startLine":1,"totalLines":122}},"sourceToolAssistantUUID":"5c97780c-18a8-4a2a-bda6-c94e058252c8","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"bfc5483e-2e80-4a47-b8d6-fbd1216b1edf","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01NyQGq5HoKhuReqThQpgkSQ","toolUseID":"toolu_01NyQGq5HoKhuReqThQpgkSQ","timestamp":"2026-03-16T10:20:21.987Z","uuid":"fa2fe1da-d91b-4727-b9b4-768b0e78c339","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"bfc5483e-2e80-4a47-b8d6-fbd1216b1edf","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NyQGq5HoKhuReqThQpgkSQ","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"math\"\n    11→\t\"time\"\n    12→\n    13→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    14→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    16→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    17→\tsq \"github.com/Masterminds/squirrel\"\n    18→\t\"github.com/go-co-op/gocron/v2\"\n    19→)\n    20→\n    21→func RegisterFootprintWorker() {\n    22→\tvar frequency string\n    23→\tif Keys.FootprintWorker != \"\" {\n    24→\t\tfrequency = Keys.FootprintWorker\n    25→\t} else {\n    26→\t\tfrequency = \"10m\"\n    27→\t}\n    28→\n    29→\td, err := parseDuration(frequency)\n    30→\tif err != nil {\n    31→\t\tcclog.Errorf(\"RegisterFootprintWorker: %v\", err)\n    32→\t\treturn\n    33→\t}\n    34→\n    35→\tcclog.Infof(\"Register Footprint Update service with %s interval\", frequency)\n    36→\n    37→\ts.NewJob(gocron.DurationJob(d),\n    38→\t\tgocron.NewTask(\n    39→\t\t\tfunc() {\n    40→\t\t\t\ts := time.Now()\n    41→\t\t\t\tc := 0\n    42→\t\t\t\tce := 0\n    43→\t\t\t\tcl := 0\n    44→\t\t\t\tcclog.Infof(\"Update Footprints started at %s\", s.Format(time.RFC3339))\n    45→\n    46→\t\t\t\tfor _, cluster := range archive.Clusters {\n    47→\t\t\t\t\tsCluster := time.Now()\n    48→\t\t\t\t\tjobs, err := jobRepo.FindRunningJobs(cluster.Name)\n    49→\t\t\t\t\tif err != nil {\n    50→\t\t\t\t\t\tcontinue\n    51→\t\t\t\t\t}\n    52→\t\t\t\t\t// NOTE: Additional SubCluster Loop Could Allow For Limited List Of Footprint-Metrics Only.\n    53→\t\t\t\t\t//       - Chunk-Size Would Then Be 'SubCluster' (Running Jobs, Transactions) as Lists Can Change Within SCs\n    54→\t\t\t\t\t//       - Would Require Review of 'updateFootprint' Usage (Logic Could Possibly Be Included Here Completely)\n    55→\t\t\t\t\tallMetrics := make([]string, 0)\n    56→\t\t\t\t\tmetricConfigs := archive.GetCluster(cluster.Name).MetricConfig\n    57→\t\t\t\t\tfor _, mc := range metricConfigs {\n    58→\t\t\t\t\t\tallMetrics = append(allMetrics, mc.Name)\n    59→\t\t\t\t\t}\n    60→\n    61→\t\t\t\t\tpendingStatements := []sq.UpdateBuilder{}\n    62→\n    63→\t\t\t\t\tfor _, job := range jobs {\n    64→\t\t\t\t\t\tcclog.Debugf(\"Prepare job %d\", job.JobID)\n    65→\t\t\t\t\t\tcl++\n    66→\n    67→\t\t\t\t\t\tsJob := time.Now()\n    68→\n    69→\t\t\t\t\t\tms, err := metricdispatch.GetMetricDataRepo(job.Cluster, job.SubCluster)\n    70→\t\t\t\t\t\tif err != nil {\n    71→\t\t\t\t\t\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n    72→\t\t\t\t\t\t\t\tjob.Cluster, job.SubCluster, err.Error())\n    73→\t\t\t\t\t\t\tcontinue\n    74→\t\t\t\t\t\t}\n    75→\n    76→\t\t\t\t\t\tjobStats, err := ms.LoadStats(job, allMetrics, context.Background())\n    77→\t\t\t\t\t\tif err != nil {\n    78→\t\t\t\t\t\t\tcclog.Errorf(\"error wile loading job data stats for footprint update: %v\", err)\n    79→\t\t\t\t\t\t\tce++\n    80→\t\t\t\t\t\t\tcontinue\n    81→\t\t\t\t\t\t}\n    82→\n    83→\t\t\t\t\t\tjob.Statistics = make(map[string]schema.JobStatistics)\n    84→\n    85→\t\t\t\t\t\tfor _, metric := range allMetrics {\n    86→\t\t\t\t\t\t\tavg, min, max := 0.0, 0.0, 0.0\n    87→\t\t\t\t\t\t\tdata, ok := jobStats[metric] // JobStats[Metric1:[Hostname1:[Stats], Hostname2:[Stats], ...], Metric2[...] ...]\n    88→\t\t\t\t\t\t\tif ok {\n    89→\t\t\t\t\t\t\t\tfor _, res := range job.Resources {\n    90→\t\t\t\t\t\t\t\t\thostStats, ok := data[res.Hostname]\n    91→\t\t\t\t\t\t\t\t\tif ok {\n    92→\t\t\t\t\t\t\t\t\t\tavg += hostStats.Avg\n    93→\t\t\t\t\t\t\t\t\t\tmin = math.Min(min, hostStats.Min)\n    94→\t\t\t\t\t\t\t\t\t\tmax = math.Max(max, hostStats.Max)\n    95→\t\t\t\t\t\t\t\t\t}\n    96→\n    97→\t\t\t\t\t\t\t\t}\n    98→\t\t\t\t\t\t\t}\n    99→\n   100→\t\t\t\t\t\t\t// Add values rounded to 2 digits: repo.LoadStats may return unrounded\n   101→\t\t\t\t\t\t\tjob.Statistics[metric] = schema.JobStatistics{\n   102→\t\t\t\t\t\t\t\tUnit: schema.Unit{\n   103→\t\t\t\t\t\t\t\t\tPrefix: archive.GetMetricConfig(job.Cluster, metric).Unit.Prefix,\n   104→\t\t\t\t\t\t\t\t\tBase:   archive.GetMetricConfig(job.Cluster, metric).Unit.Base,\n   105→\t\t\t\t\t\t\t\t},\n   106→\t\t\t\t\t\t\t\tAvg: (math.Round((avg/float64(job.NumNodes))*100) / 100),\n   107→\t\t\t\t\t\t\t\tMin: (math.Round(min*100) / 100),\n   108→\t\t\t\t\t\t\t\tMax: (math.Round(max*100) / 100),\n   109→\t\t\t\t\t\t\t}\n   110→\t\t\t\t\t\t}\n   111→\n   112→\t\t\t\t\t\t// Build Statement per Job, Add to Pending Array\n   113→\t\t\t\t\t\tstmt := sq.Update(\"job\")\n   114→\t\t\t\t\t\tstmt, err = jobRepo.UpdateFootprint(stmt, job)\n   115→\t\t\t\t\t\tif err != nil {\n   116→\t\t\t\t\t\t\tcclog.Errorf(\"update job (dbid: %d) statement build failed at footprint step: %s\", *job.ID, err.Error())\n   117→\t\t\t\t\t\t\tce++\n   118→\t\t\t\t\t\t\tcontinue\n   119→\t\t\t\t\t\t}\n   120→\t\t\t\t\t\tstmt = stmt.Where(\"job.id = ?\", job.ID)\n   121→\n   122→\t\t\t\t\t\tpendingStatements = append(pendingStatements, stmt)\n   123→\t\t\t\t\t\tcclog.Debugf(\"Job %d took %s\", job.JobID, time.Since(sJob))\n   124→\t\t\t\t\t}\n   125→\n   126→\t\t\t\t\tt, err := jobRepo.TransactionInit()\n   127→\t\t\t\t\tif err != nil {\n   128→\t\t\t\t\t\tcclog.Errorf(\"failed TransactionInit %v\", err)\n   129→\t\t\t\t\t\tcclog.Errorf(\"skipped %d transactions for cluster %s\", len(pendingStatements), cluster.Name)\n   130→\t\t\t\t\t\tce += len(pendingStatements)\n   131→\t\t\t\t\t} else {\n   132→\t\t\t\t\t\tfor _, ps := range pendingStatements {\n   133→\t\t\t\t\t\t\tquery, args, err := ps.ToSql()\n   134→\t\t\t\t\t\t\tif err != nil {\n   135→\t\t\t\t\t\t\t\tcclog.Errorf(\"failed in ToSQL conversion: %v\", err)\n   136→\t\t\t\t\t\t\t\tce++\n   137→\t\t\t\t\t\t\t} else {\n   138→\t\t\t\t\t\t\t\t// args...: Footprint-JSON, Energyfootprint-JSON, TotalEnergy, JobID\n   139→\t\t\t\t\t\t\t\tjobRepo.TransactionAdd(t, query, args...)\n   140→\t\t\t\t\t\t\t\tc++\n   141→\t\t\t\t\t\t\t}\n   142→\t\t\t\t\t\t}\n   143→\t\t\t\t\t\tjobRepo.TransactionEnd(t)\n   144→\t\t\t\t\t}\n   145→\t\t\t\t\tcclog.Debugf(\"Finish Cluster %s, took %s\\n\", cluster.Name, time.Since(sCluster))\n   146→\t\t\t\t}\n   147→\t\t\t\tcclog.Infof(\"Updating %d (of %d; Skipped %d) Footprints is done and took %s\", c, cl, ce, time.Since(s))\n   148→\t\t\t}))\n   149→}\n   150→"}]},"uuid":"87a4201c-478c-481a-a777-cd0ab95957f3","timestamp":"2026-03-16T10:20:21.987Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage taskmanager\n\nimport (\n\t\"context\"\n\t\"math\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/go-co-op/gocron/v2\"\n)\n\nfunc RegisterFootprintWorker() {\n\tvar frequency string\n\tif Keys.FootprintWorker != \"\" {\n\t\tfrequency = Keys.FootprintWorker\n\t} else {\n\t\tfrequency = \"10m\"\n\t}\n\n\td, err := parseDuration(frequency)\n\tif err != nil {\n\t\tcclog.Errorf(\"RegisterFootprintWorker: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Register Footprint Update service with %s interval\", frequency)\n\n\ts.NewJob(gocron.DurationJob(d),\n\t\tgocron.NewTask(\n\t\t\tfunc() {\n\t\t\t\ts := time.Now()\n\t\t\t\tc := 0\n\t\t\t\tce := 0\n\t\t\t\tcl := 0\n\t\t\t\tcclog.Infof(\"Update Footprints started at %s\", s.Format(time.RFC3339))\n\n\t\t\t\tfor _, cluster := range archive.Clusters {\n\t\t\t\t\tsCluster := time.Now()\n\t\t\t\t\tjobs, err := jobRepo.FindRunningJobs(cluster.Name)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\t// NOTE: Additional SubCluster Loop Could Allow For Limited List Of Footprint-Metrics Only.\n\t\t\t\t\t//       - Chunk-Size Would Then Be 'SubCluster' (Running Jobs, Transactions) as Lists Can Change Within SCs\n\t\t\t\t\t//       - Would Require Review of 'updateFootprint' Usage (Logic Could Possibly Be Included Here Completely)\n\t\t\t\t\tallMetrics := make([]string, 0)\n\t\t\t\t\tmetricConfigs := archive.GetCluster(cluster.Name).MetricConfig\n\t\t\t\t\tfor _, mc := range metricConfigs {\n\t\t\t\t\t\tallMetrics = append(allMetrics, mc.Name)\n\t\t\t\t\t}\n\n\t\t\t\t\tpendingStatements := []sq.UpdateBuilder{}\n\n\t\t\t\t\tfor _, job := range jobs {\n\t\t\t\t\t\tcclog.Debugf(\"Prepare job %d\", job.JobID)\n\t\t\t\t\t\tcl++\n\n\t\t\t\t\t\tsJob := time.Now()\n\n\t\t\t\t\t\tms, err := metricdispatch.GetMetricDataRepo(job.Cluster, job.SubCluster)\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\t\t\t\t\t\tjob.Cluster, job.SubCluster, err.Error())\n\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tjobStats, err := ms.LoadStats(job, allMetrics, context.Background())\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"error wile loading job data stats for footprint update: %v\", err)\n\t\t\t\t\t\t\tce++\n\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tjob.Statistics = make(map[string]schema.JobStatistics)\n\n\t\t\t\t\t\tfor _, metric := range allMetrics {\n\t\t\t\t\t\t\tavg, min, max := 0.0, 0.0, 0.0\n\t\t\t\t\t\t\tdata, ok := jobStats[metric] // JobStats[Metric1:[Hostname1:[Stats], Hostname2:[Stats], ...], Metric2[...] ...]\n\t\t\t\t\t\t\tif ok {\n\t\t\t\t\t\t\t\tfor _, res := range job.Resources {\n\t\t\t\t\t\t\t\t\thostStats, ok := data[res.Hostname]\n\t\t\t\t\t\t\t\t\tif ok {\n\t\t\t\t\t\t\t\t\t\tavg += hostStats.Avg\n\t\t\t\t\t\t\t\t\t\tmin = math.Min(min, hostStats.Min)\n\t\t\t\t\t\t\t\t\t\tmax = math.Max(max, hostStats.Max)\n\t\t\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t// Add values rounded to 2 digits: repo.LoadStats may return unrounded\n\t\t\t\t\t\t\tjob.Statistics[metric] = schema.JobStatistics{\n\t\t\t\t\t\t\t\tUnit: schema.Unit{\n\t\t\t\t\t\t\t\t\tPrefix: archive.GetMetricConfig(job.Cluster, metric).Unit.Prefix,\n\t\t\t\t\t\t\t\t\tBase:   archive.GetMetricConfig(job.Cluster, metric).Unit.Base,\n\t\t\t\t\t\t\t\t},\n\t\t\t\t\t\t\t\tAvg: (math.Round((avg/float64(job.NumNodes))*100) / 100),\n\t\t\t\t\t\t\t\tMin: (math.Round(min*100) / 100),\n\t\t\t\t\t\t\t\tMax: (math.Round(max*100) / 100),\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\t// Build Statement per Job, Add to Pending Array\n\t\t\t\t\t\tstmt := sq.Update(\"job\")\n\t\t\t\t\t\tstmt, err = jobRepo.UpdateFootprint(stmt, job)\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"update job (dbid: %d) statement build failed at footprint step: %s\", *job.ID, err.Error())\n\t\t\t\t\t\t\tce++\n\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t}\n\t\t\t\t\t\tstmt = stmt.Where(\"job.id = ?\", job.ID)\n\n\t\t\t\t\t\tpendingStatements = append(pendingStatements, stmt)\n\t\t\t\t\t\tcclog.Debugf(\"Job %d took %s\", job.JobID, time.Since(sJob))\n\t\t\t\t\t}\n\n\t\t\t\t\tt, err := jobRepo.TransactionInit()\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"failed TransactionInit %v\", err)\n\t\t\t\t\t\tcclog.Errorf(\"skipped %d transactions for cluster %s\", len(pendingStatements), cluster.Name)\n\t\t\t\t\t\tce += len(pendingStatements)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tfor _, ps := range pendingStatements {\n\t\t\t\t\t\t\tquery, args, err := ps.ToSql()\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"failed in ToSQL conversion: %v\", err)\n\t\t\t\t\t\t\t\tce++\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\t// args...: Footprint-JSON, Energyfootprint-JSON, TotalEnergy, JobID\n\t\t\t\t\t\t\t\tjobRepo.TransactionAdd(t, query, args...)\n\t\t\t\t\t\t\t\tc++\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t\tjobRepo.TransactionEnd(t)\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Debugf(\"Finish Cluster %s, took %s\\n\", cluster.Name, time.Since(sCluster))\n\t\t\t\t}\n\t\t\t\tcclog.Infof(\"Updating %d (of %d; Skipped %d) Footprints is done and took %s\", c, cl, ce, time.Since(s))\n\t\t\t}))\n}\n","numLines":150,"startLine":1,"totalLines":150}},"sourceToolAssistantUUID":"bfc5483e-2e80-4a47-b8d6-fbd1216b1edf","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"b14cef18-8d16-4d22-9829-66379572f507","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0195DFsKrvHLqVJHLyvfkkWr","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"time\"\n    10→\n    11→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    12→\t\"github.com/go-co-op/gocron/v2\"\n    13→)\n    14→\n    15→func RegisterUpdateDurationWorker() {\n    16→\tvar frequency string\n    17→\tif Keys.DurationWorker != \"\" {\n    18→\t\tfrequency = Keys.DurationWorker\n    19→\t} else {\n    20→\t\tfrequency = \"5m\"\n    21→\t}\n    22→\n    23→\td, err := parseDuration(frequency)\n    24→\tif err != nil {\n    25→\t\tcclog.Errorf(\"RegisterUpdateDurationWorker: %v\", err)\n    26→\t\treturn\n    27→\t}\n    28→\n    29→\tcclog.Infof(\"Register Duration Update service with %s interval\", frequency)\n    30→\n    31→\ts.NewJob(gocron.DurationJob(d),\n    32→\t\tgocron.NewTask(\n    33→\t\t\tfunc() {\n    34→\t\t\t\tstart := time.Now()\n    35→\t\t\t\tcclog.Infof(\"Update duration started at %s\", start.Format(time.RFC3339))\n    36→\t\t\t\tjobRepo.UpdateDuration()\n    37→\t\t\t\tcclog.Infof(\"Update duration is done and took %s\", time.Since(start))\n    38→\t\t\t}))\n    39→}\n    40→"}]},"uuid":"8a6ed30b-b6be-4712-a630-e98681852f68","timestamp":"2026-03-16T10:20:22.343Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateDurationService.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage taskmanager\n\nimport (\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/go-co-op/gocron/v2\"\n)\n\nfunc RegisterUpdateDurationWorker() {\n\tvar frequency string\n\tif Keys.DurationWorker != \"\" {\n\t\tfrequency = Keys.DurationWorker\n\t} else {\n\t\tfrequency = \"5m\"\n\t}\n\n\td, err := parseDuration(frequency)\n\tif err != nil {\n\t\tcclog.Errorf(\"RegisterUpdateDurationWorker: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Register Duration Update service with %s interval\", frequency)\n\n\ts.NewJob(gocron.DurationJob(d),\n\t\tgocron.NewTask(\n\t\t\tfunc() {\n\t\t\t\tstart := time.Now()\n\t\t\t\tcclog.Infof(\"Update duration started at %s\", start.Format(time.RFC3339))\n\t\t\t\tjobRepo.UpdateDuration()\n\t\t\t\tcclog.Infof(\"Update duration is done and took %s\", time.Since(start))\n\t\t\t}))\n}\n","numLines":40,"startLine":1,"totalLines":40}},"sourceToolAssistantUUID":"b14cef18-8d16-4d22-9829-66379572f507","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"3ce3bea2-f3ac-4821-8d5b-2c856d9a0481","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BMUnpCkFtrCg7vC1z1GFcB","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package repository\n     6→\n     7→import (\n     8→\t\"fmt\"\n     9→\n    10→\t\"github.com/jmoiron/sqlx\"\n    11→)\n    12→\n    13→// Transaction wraps a database transaction for job-related operations.\n    14→type Transaction struct {\n    15→\ttx *sqlx.Tx\n    16→}\n    17→\n    18→// TransactionInit begins a new transaction.\n    19→func (r *JobRepository) TransactionInit() (*Transaction, error) {\n    20→\ttx, err := r.DB.Beginx()\n    21→\tif err != nil {\n    22→\t\treturn nil, fmt.Errorf(\"beginning transaction: %w\", err)\n    23→\t}\n    24→\treturn &Transaction{tx: tx}, nil\n    25→}\n    26→\n    27→// Commit commits the transaction.\n    28→// After calling Commit, the transaction should not be used again.\n    29→func (t *Transaction) Commit() error {\n    30→\tif t.tx == nil {\n    31→\t\treturn fmt.Errorf(\"transaction already committed or rolled back\")\n    32→\t}\n    33→\terr := t.tx.Commit()\n    34→\tt.tx = nil // Mark as completed\n    35→\tif err != nil {\n    36→\t\treturn fmt.Errorf(\"committing transaction: %w\", err)\n    37→\t}\n    38→\treturn nil\n    39→}\n    40→\n    41→// Rollback rolls back the transaction.\n    42→// It's safe to call Rollback on an already committed or rolled back transaction.\n    43→func (t *Transaction) Rollback() error {\n    44→\tif t.tx == nil {\n    45→\t\treturn nil // Already committed/rolled back\n    46→\t}\n    47→\terr := t.tx.Rollback()\n    48→\tt.tx = nil // Mark as completed\n    49→\tif err != nil {\n    50→\t\treturn fmt.Errorf(\"rolling back transaction: %w\", err)\n    51→\t}\n    52→\treturn nil\n    53→}\n    54→\n    55→// TransactionEnd commits the transaction.\n    56→// Deprecated: Use Commit() instead.\n    57→func (r *JobRepository) TransactionEnd(t *Transaction) error {\n    58→\treturn t.Commit()\n    59→}\n    60→\n    61→// TransactionAddNamed executes a named query within the transaction.\n    62→func (r *JobRepository) TransactionAddNamed(\n    63→\tt *Transaction,\n    64→\tquery string,\n    65→\targs ...any,\n    66→) (int64, error) {\n    67→\tif t.tx == nil {\n    68→\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n    69→\t}\n    70→\n    71→\tres, err := t.tx.NamedExec(query, args)\n    72→\tif err != nil {\n    73→\t\treturn 0, fmt.Errorf(\"named exec: %w\", err)\n    74→\t}\n    75→\n    76→\tid, err := res.LastInsertId()\n    77→\tif err != nil {\n    78→\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n    79→\t}\n    80→\n    81→\treturn id, nil\n    82→}\n    83→\n    84→// TransactionAdd executes a query within the transaction.\n    85→func (r *JobRepository) TransactionAdd(t *Transaction, query string, args ...any) (int64, error) {\n    86→\tif t.tx == nil {\n    87→\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n    88→\t}\n    89→\n    90→\tres, err := t.tx.Exec(query, args...)\n    91→\tif err != nil {\n    92→\t\treturn 0, fmt.Errorf(\"exec: %w\", err)\n    93→\t}\n    94→\n    95→\tid, err := res.LastInsertId()\n    96→\tif err != nil {\n    97→\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n    98→\t}\n    99→\n   100→\treturn id, nil\n   101→}\n   102→"}]},"uuid":"b7fd8b96-d53a-4e3d-92e3-cbb01b84bd67","timestamp":"2026-03-16T10:20:22.637Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/transaction.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage repository\n\nimport (\n\t\"fmt\"\n\n\t\"github.com/jmoiron/sqlx\"\n)\n\n// Transaction wraps a database transaction for job-related operations.\ntype Transaction struct {\n\ttx *sqlx.Tx\n}\n\n// TransactionInit begins a new transaction.\nfunc (r *JobRepository) TransactionInit() (*Transaction, error) {\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\treturn nil, fmt.Errorf(\"beginning transaction: %w\", err)\n\t}\n\treturn &Transaction{tx: tx}, nil\n}\n\n// Commit commits the transaction.\n// After calling Commit, the transaction should not be used again.\nfunc (t *Transaction) Commit() error {\n\tif t.tx == nil {\n\t\treturn fmt.Errorf(\"transaction already committed or rolled back\")\n\t}\n\terr := t.tx.Commit()\n\tt.tx = nil // Mark as completed\n\tif err != nil {\n\t\treturn fmt.Errorf(\"committing transaction: %w\", err)\n\t}\n\treturn nil\n}\n\n// Rollback rolls back the transaction.\n// It's safe to call Rollback on an already committed or rolled back transaction.\nfunc (t *Transaction) Rollback() error {\n\tif t.tx == nil {\n\t\treturn nil // Already committed/rolled back\n\t}\n\terr := t.tx.Rollback()\n\tt.tx = nil // Mark as completed\n\tif err != nil {\n\t\treturn fmt.Errorf(\"rolling back transaction: %w\", err)\n\t}\n\treturn nil\n}\n\n// TransactionEnd commits the transaction.\n// Deprecated: Use Commit() instead.\nfunc (r *JobRepository) TransactionEnd(t *Transaction) error {\n\treturn t.Commit()\n}\n\n// TransactionAddNamed executes a named query within the transaction.\nfunc (r *JobRepository) TransactionAddNamed(\n\tt *Transaction,\n\tquery string,\n\targs ...any,\n) (int64, error) {\n\tif t.tx == nil {\n\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n\t}\n\n\tres, err := t.tx.NamedExec(query, args)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"named exec: %w\", err)\n\t}\n\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n\t}\n\n\treturn id, nil\n}\n\n// TransactionAdd executes a query within the transaction.\nfunc (r *JobRepository) TransactionAdd(t *Transaction, query string, args ...any) (int64, error) {\n\tif t.tx == nil {\n\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n\t}\n\n\tres, err := t.tx.Exec(query, args...)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"exec: %w\", err)\n\t}\n\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n\t}\n\n\treturn id, nil\n}\n","numLines":102,"startLine":1,"totalLines":102}},"sourceToolAssistantUUID":"3ce3bea2-f3ac-4821-8d5b-2c856d9a0481","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"a0388b2d-5128-4103-a3e9-1b403aebd634","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01KVbjcaCsS9yWbGRFmuWN14","toolUseID":"toolu_01KVbjcaCsS9yWbGRFmuWN14","timestamp":"2026-03-16T10:20:28.748Z","uuid":"7ff5012e-a437-4db5-b10f-08c9cbb8719d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"f0597a67-7b23-4535-ad3d-c7f6504b2cfe","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01NmDyVGR14m56zJq4osBX8r","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PhVPX1dgq6sxbbDWj6iFRa","name":"Write","input":{"file_path":"/Users/jan/.claude/plans/woolly-wandering-narwhal.md","content":"# Additional SQLite Write Contention Reductions\n\n## Context\n\nFixes 1-5 (busy_timeout, batch node states, LDAP sync, NATS semaphores, SyncJobs transaction) are already implemented. This plan identifies **remaining** opportunities to reduce DB write pressure through transactions and batching.\n\nAfter reviewing all write paths in the codebase, most periodic tasks are already well-optimized:\n- `UpdateDuration` — single bulk UPDATE, efficient\n- `StopJobsExceedingWalltimeBy` — single bulk UPDATE, efficient\n- `DeleteJobsBefore` — single bulk DELETE, efficient\n- Footprint worker — already uses `TransactionInit/TransactionAdd/TransactionEnd` per cluster\n- Archiver — chains UpdateFootprint + UpdateEnergy + MarkArchived into single `sq.Update` statement, efficient\n\nThe remaining opportunities are in **tag operations**, **TransferCachedJobToMain**, and **job imports**.\n\n---\n\n## Fix 6: Wrap TransferCachedJobToMain in a Transaction\n\n**File:** `internal/repository/jobCreate.go:130-149`\n\nCurrently does INSERT + DELETE as two separate `r.DB.Exec()` calls. If the process crashes between them, the job_cache row is orphaned (duplicate on next SyncJobs).\n\n**Change:** Wrap both operations in a transaction:\n```go\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n    tx, err := r.DB.Beginx()\n    // INSERT INTO job ... SELECT ... FROM job_cache WHERE id = ?\n    // newID from LastInsertId\n    // DELETE FROM job_cache WHERE id = ?\n    // tx.Commit()\n}\n```\n\n**Impact:** Atomicity + 1 lock acquisition instead of 2. Called per job stop from cache path.\n\n---\n\n## Fix 7: Batch Tag Operations on Job Start (NATS + REST)\n\n**File:** `internal/api/nats.go:228-233` — loops `AddTagOrCreate` per tag\n**File:** `internal/api/job.go` — same pattern in `startJob` REST handler\n\nCurrently each tag does: SELECT tag → INSERT tag (if new) → SELECT job → INSERT jobtag → SELECT tags → archive.UpdateTags. For a job with 5 tags = 30 individual DB operations.\n\n**Change:** Add `BatchAddTagsDirect` to `internal/repository/tags.go`:\n- Accept jobID + slice of tags\n- Begin transaction\n- For each tag: resolve/create tag ID, INSERT jobtag — all within same transaction\n- Commit\n- Single archive.UpdateTags call at the end (outside transaction)\n\nThen update callers:\n- `internal/api/nats.go:228-233` — replace loop with `BatchAddTagsDirect`\n- `internal/api/job.go` (startJob REST handler) — same change\n\n**Keep** existing `AddTagOrCreate` for single-tag use cases (GraphQL, REST tag endpoint).\n\n**Impact:** N tags = 1 transaction + 1 archive update instead of N * 5 separate operations. Most impactful when scheduler sends jobs with multiple tags.\n\n---\n\n## Fix 8: Batch Tag Imports\n\n**File:** `internal/importer/handleImport.go:111-116` — loops `ImportTag` per tag per job\n\nCurrently each tag does: SELECT tag → INSERT tag (if new) → INSERT jobtag. For 100 jobs with 3 tags each = 600+ individual operations.\n\n**Change:** Add `BatchImportTags` to `internal/repository/tags.go`:\n- Accept jobID + slice of (type, name, scope)\n- Begin transaction\n- For each tag: resolve/create tag ID + INSERT jobtag\n- Commit\n\nUpdate `handleImport.go` to call `BatchImportTags` instead of the loop.\n\n**Impact:** Reduces lock acquisitions from 2*N to 1 per job's tags during import. Import is a startup-only operation but can be long-running for large archives.\n\n---\n\n## Fix 9: Wrap RemoveTagByID in a Transaction\n\n**File:** `internal/repository/tags.go:216-244`\n\nCurrently does DELETE FROM jobtag + DELETE FROM tag as two separate operations. If the second fails, jobtag rows are gone but the orphaned tag row remains.\n\n**Change:**\n```go\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n    jobIds, err := r.FindJobIdsByTag(tagID)\n    // ...\n    tx, err := r.DB.Beginx()\n    defer tx.Rollback()\n    // DELETE FROM jobtag WHERE tag_id = ?  (on tx)\n    // DELETE FROM tag WHERE id = ?  (on tx)\n    tx.Commit()\n    go r.removeTagFromArchiveJobs(jobIds)\n}\n```\n\n**Impact:** Atomicity for tag deletion. Low frequency (admin operation) but prevents orphaned data.\n\n---\n\n## Implementation Order\n\n1. **Fix 6** (TransferCachedJobToMain) — trivial, fixes a real atomicity bug\n2. **Fix 7** (batch tags on job start) — biggest remaining contention reduction for NATS path\n3. **Fix 8** (batch tag imports) — only affects import, but easy once Fix 7 pattern exists\n4. **Fix 9** (RemoveTagByID transaction) — minor, correctness improvement\n\n---\n\n## Files to Modify\n\n| File | Changes |\n|------|---------|\n| `internal/repository/jobCreate.go` | Fix 6: wrap TransferCachedJobToMain in transaction |\n| `internal/repository/tags.go` | Fix 7: add `BatchAddTagsDirect`; Fix 8: add `BatchImportTags`; Fix 9: transaction in RemoveTagByID |\n| `internal/api/nats.go` | Fix 7: use BatchAddTagsDirect in handleStartJob |\n| `internal/api/job.go` | Fix 7: use BatchAddTagsDirect in startJob REST handler |\n| `internal/importer/handleImport.go` | Fix 8: use BatchImportTags |\n\n---\n\n## What NOT to Change\n\nThese are already efficient and don't need modification:\n- `UpdateDuration` — single bulk UPDATE\n- `StopJobsExceedingWalltimeBy` — single bulk UPDATE\n- `DeleteJobsBefore` — single bulk DELETE\n- Footprint worker — already transactional per cluster\n- Archiver — already chains SETs into single UPDATE via Squirrel builder\n- `UpdateUser` — admin-only, very low frequency, not worth the complexity\n- `AddUser` deprecated metrics loop — marked DEPRECATED, will be removed; not worth optimizing\n\n---\n\n## Verification\n\n1. `go test ./internal/repository/... ./internal/api/... ./internal/importer/...`\n2. After Fix 6: verify `TransferCachedJobToMain` atomicity — stop a job that's in cache, check job table has correct ID and cache is empty\n3. After Fix 7: start a job with multiple tags via NATS — verify all tags appear, check that only 1 transaction was used (enable debug logging)\n4. After Fix 9: delete a tag via GraphQL — verify both tag and jobtag rows removed atomically\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2503,"cache_read_input_tokens":114295,"output_tokens":1912,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2503,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6bEMMkG4V511Dsu7bkm","type":"assistant","uuid":"b4439843-d8a6-40b1-9d71-93da5b44f966","timestamp":"2026-03-16T10:21:13.155Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"b4439843-d8a6-40b1-9d71-93da5b44f966","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PhVPX1dgq6sxbbDWj6iFRa","type":"tool_result","content":"The file /Users/jan/.claude/plans/woolly-wandering-narwhal.md has been updated successfully."}]},"uuid":"0f9e07a1-3eb3-4713-b47e-0c653524b515","timestamp":"2026-03-16T10:21:13.171Z","toolUseResult":{"type":"update","filePath":"/Users/jan/.claude/plans/woolly-wandering-narwhal.md","content":"# Additional SQLite Write Contention Reductions\n\n## Context\n\nFixes 1-5 (busy_timeout, batch node states, LDAP sync, NATS semaphores, SyncJobs transaction) are already implemented. This plan identifies **remaining** opportunities to reduce DB write pressure through transactions and batching.\n\nAfter reviewing all write paths in the codebase, most periodic tasks are already well-optimized:\n- `UpdateDuration` — single bulk UPDATE, efficient\n- `StopJobsExceedingWalltimeBy` — single bulk UPDATE, efficient\n- `DeleteJobsBefore` — single bulk DELETE, efficient\n- Footprint worker — already uses `TransactionInit/TransactionAdd/TransactionEnd` per cluster\n- Archiver — chains UpdateFootprint + UpdateEnergy + MarkArchived into single `sq.Update` statement, efficient\n\nThe remaining opportunities are in **tag operations**, **TransferCachedJobToMain**, and **job imports**.\n\n---\n\n## Fix 6: Wrap TransferCachedJobToMain in a Transaction\n\n**File:** `internal/repository/jobCreate.go:130-149`\n\nCurrently does INSERT + DELETE as two separate `r.DB.Exec()` calls. If the process crashes between them, the job_cache row is orphaned (duplicate on next SyncJobs).\n\n**Change:** Wrap both operations in a transaction:\n```go\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n    tx, err := r.DB.Beginx()\n    // INSERT INTO job ... SELECT ... FROM job_cache WHERE id = ?\n    // newID from LastInsertId\n    // DELETE FROM job_cache WHERE id = ?\n    // tx.Commit()\n}\n```\n\n**Impact:** Atomicity + 1 lock acquisition instead of 2. Called per job stop from cache path.\n\n---\n\n## Fix 7: Batch Tag Operations on Job Start (NATS + REST)\n\n**File:** `internal/api/nats.go:228-233` — loops `AddTagOrCreate` per tag\n**File:** `internal/api/job.go` — same pattern in `startJob` REST handler\n\nCurrently each tag does: SELECT tag → INSERT tag (if new) → SELECT job → INSERT jobtag → SELECT tags → archive.UpdateTags. For a job with 5 tags = 30 individual DB operations.\n\n**Change:** Add `BatchAddTagsDirect` to `internal/repository/tags.go`:\n- Accept jobID + slice of tags\n- Begin transaction\n- For each tag: resolve/create tag ID, INSERT jobtag — all within same transaction\n- Commit\n- Single archive.UpdateTags call at the end (outside transaction)\n\nThen update callers:\n- `internal/api/nats.go:228-233` — replace loop with `BatchAddTagsDirect`\n- `internal/api/job.go` (startJob REST handler) — same change\n\n**Keep** existing `AddTagOrCreate` for single-tag use cases (GraphQL, REST tag endpoint).\n\n**Impact:** N tags = 1 transaction + 1 archive update instead of N * 5 separate operations. Most impactful when scheduler sends jobs with multiple tags.\n\n---\n\n## Fix 8: Batch Tag Imports\n\n**File:** `internal/importer/handleImport.go:111-116` — loops `ImportTag` per tag per job\n\nCurrently each tag does: SELECT tag → INSERT tag (if new) → INSERT jobtag. For 100 jobs with 3 tags each = 600+ individual operations.\n\n**Change:** Add `BatchImportTags` to `internal/repository/tags.go`:\n- Accept jobID + slice of (type, name, scope)\n- Begin transaction\n- For each tag: resolve/create tag ID + INSERT jobtag\n- Commit\n\nUpdate `handleImport.go` to call `BatchImportTags` instead of the loop.\n\n**Impact:** Reduces lock acquisitions from 2*N to 1 per job's tags during import. Import is a startup-only operation but can be long-running for large archives.\n\n---\n\n## Fix 9: Wrap RemoveTagByID in a Transaction\n\n**File:** `internal/repository/tags.go:216-244`\n\nCurrently does DELETE FROM jobtag + DELETE FROM tag as two separate operations. If the second fails, jobtag rows are gone but the orphaned tag row remains.\n\n**Change:**\n```go\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n    jobIds, err := r.FindJobIdsByTag(tagID)\n    // ...\n    tx, err := r.DB.Beginx()\n    defer tx.Rollback()\n    // DELETE FROM jobtag WHERE tag_id = ?  (on tx)\n    // DELETE FROM tag WHERE id = ?  (on tx)\n    tx.Commit()\n    go r.removeTagFromArchiveJobs(jobIds)\n}\n```\n\n**Impact:** Atomicity for tag deletion. Low frequency (admin operation) but prevents orphaned data.\n\n---\n\n## Implementation Order\n\n1. **Fix 6** (TransferCachedJobToMain) — trivial, fixes a real atomicity bug\n2. **Fix 7** (batch tags on job start) — biggest remaining contention reduction for NATS path\n3. **Fix 8** (batch tag imports) — only affects import, but easy once Fix 7 pattern exists\n4. **Fix 9** (RemoveTagByID transaction) — minor, correctness improvement\n\n---\n\n## Files to Modify\n\n| File | Changes |\n|------|---------|\n| `internal/repository/jobCreate.go` | Fix 6: wrap TransferCachedJobToMain in transaction |\n| `internal/repository/tags.go` | Fix 7: add `BatchAddTagsDirect`; Fix 8: add `BatchImportTags`; Fix 9: transaction in RemoveTagByID |\n| `internal/api/nats.go` | Fix 7: use BatchAddTagsDirect in handleStartJob |\n| `internal/api/job.go` | Fix 7: use BatchAddTagsDirect in startJob REST handler |\n| `internal/importer/handleImport.go` | Fix 8: use BatchImportTags |\n\n---\n\n## What NOT to Change\n\nThese are already efficient and don't need modification:\n- `UpdateDuration` — single bulk UPDATE\n- `StopJobsExceedingWalltimeBy` — single bulk UPDATE\n- `DeleteJobsBefore` — single bulk DELETE\n- Footprint worker — already transactional per cluster\n- Archiver — already chains SETs into single UPDATE via Squirrel builder\n- `UpdateUser` — admin-only, very low frequency, not worth the complexity\n- `AddUser` deprecated metrics loop — marked DEPRECATED, will be removed; not worth optimizing\n\n---\n\n## Verification\n\n1. `go test ./internal/repository/... ./internal/api/... ./internal/importer/...`\n2. After Fix 6: verify `TransferCachedJobToMain` atomicity — stop a job that's in cache, check job table has correct ID and cache is empty\n3. After Fix 7: start a job with multiple tags via NATS — verify all tags appear, check that only 1 transaction was used (enable debug logging)\n4. After Fix 9: delete a tag via GraphQL — verify both tag and jobtag rows removed atomically\n","structuredPatch":[{"oldStart":1,"oldLines":126,"newStart":1,"newLines":144,"lines":["-# Fix: SQLite Write Contention Causing OOM Crash","+# Additional SQLite Write Contention Reductions"," "," ## Context"," ","-The server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.","+Fixes 1-5 (busy_timeout, batch node states, LDAP sync, NATS semaphores, SyncJobs transaction) are already implemented. This plan identifies **remaining** opportunities to reduce DB write pressure through transactions and batching."," ","-**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.","+After reviewing all write paths in the codebase, most periodic tasks are already well-optimized:","+- `UpdateDuration` — single bulk UPDATE, efficient","+- `StopJobsExceedingWalltimeBy` — single bulk UPDATE, efficient","+- `DeleteJobsBefore` — single bulk DELETE, efficient","+- Footprint worker — already uses `TransactionInit/TransactionAdd/TransactionEnd` per cluster","+- Archiver — chains UpdateFootprint + UpdateEnergy + MarkArchived into single `sq.Update` statement, efficient"," ","-The cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.","+The remaining opportunities are in **tag operations**, **TransferCachedJobToMain**, and **job imports**."," "," ---"," ","-## Fix 1: Increase busy_timeout (contention relief)","+## Fix 6: Wrap TransferCachedJobToMain in a Transaction"," ","-**File:** `internal/repository/dbConnection.go:73`","+**File:** `internal/repository/jobCreate.go:130-149`"," ","-Change `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:","+Currently does INSERT + DELETE as two separate `r.DB.Exec()` calls. If the process crashes between them, the job_cache row is orphaned (duplicate on next SyncJobs)."," ","-**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.","+**Change:** Wrap both operations in a transaction:","+```go","+func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {","+    tx, err := r.DB.Beginx()","+    // INSERT INTO job ... SELECT ... FROM job_cache WHERE id = ?","+    // newID from LastInsertId","+    // DELETE FROM job_cache WHERE id = ?","+    // tx.Commit()","+}","+```"," ","-**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.","+**Impact:** Atomicity + 1 lock acquisition instead of 2. Called per job stop from cache path."," ","-**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.","-","-With 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.","-"," ---"," ","-## Fix 2: Batch Node State Updates in a Transaction","+## Fix 7: Batch Tag Operations on Job Start (NATS + REST)"," ","-Currently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.","+**File:** `internal/api/nats.go:228-233` — loops `AddTagOrCreate` per tag","+**File:** `internal/api/job.go` — same pattern in `startJob` REST handler"," ","-**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:","-- Accept a slice of `(hostname, cluster, nodeState)` tuples","+Currently each tag does: SELECT tag → INSERT tag (if new) → SELECT job → INSERT jobtag → SELECT tags → archive.UpdateTags. For a job with 5 tags = 30 individual DB operations.","+","+**Change:** Add `BatchAddTagsDirect` to `internal/repository/tags.go`:","+- Accept jobID + slice of tags"," - Begin transaction","-- For each node: lookup ID (or insert node), then insert state — all within the same transaction","-- Commit once","+- For each tag: resolve/create tag ID, INSERT jobtag — all within same transaction","+- Commit","+- Single archive.UpdateTags call at the end (outside transaction)"," ","-**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.","+Then update callers:","+- `internal/api/nats.go:228-233` — replace loop with `BatchAddTagsDirect`","+- `internal/api/job.go` (startJob REST handler) — same change"," ","-**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).","+**Keep** existing `AddTagOrCreate` for single-tag use cases (GraphQL, REST tag endpoint)."," ","-Keep the existing `UpdateNodeState` method for single-node use cases.","+**Impact:** N tags = 1 transaction + 1 archive update instead of N * 5 separate operations. Most impactful when scheduler sends jobs with multiple tags."," "," ---"," ","-## Fix 3: Fix LDAP Sync Race Condition","+## Fix 8: Batch Tag Imports"," ","-The LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.","+**File:** `internal/importer/handleImport.go:111-116` — loops `ImportTag` per tag per job"," ","-**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:","-```go","-func (r *UserRepository) AddUserIfNotExists(user *schema.User) error {","-    rolesJson, _ := json.Marshal(user.Roles)","-    projectsJson, _ := json.Marshal(user.Projects)","-    cols := \"username, name, roles, projects, ldap\"","-    _, err := r.DB.Exec(","-        `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,","-        user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))","-    return err","-}","-```","+Currently each tag does: SELECT tag → INSERT tag (if new) → INSERT jobtag. For 100 jobs with 3 tags each = 600+ individual operations."," ","-**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.","+**Change:** Add `BatchImportTags` to `internal/repository/tags.go`:","+- Accept jobID + slice of (type, name, scope)","+- Begin transaction","+- For each tag: resolve/create tag ID + INSERT jobtag","+- Commit"," ","-Note: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.","+Update `handleImport.go` to call `BatchImportTags` instead of the loop."," ","+**Impact:** Reduces lock acquisitions from 2*N to 1 per job's tags during import. Import is a startup-only operation but can be long-running for large archives.","+"," ---"," ","-## Fix 4: Add Semaphore for NATS Handlers","+## Fix 9: Wrap RemoveTagByID in a Transaction"," ","-Without rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.","+**File:** `internal/repository/tags.go:216-244`"," ","-**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:","+Currently does DELETE FROM jobtag + DELETE FROM tag as two separate operations. If the second fails, jobtag rows are gone but the orphaned tag row remains.","+","+**Change:**"," ```go","-type NatsAPI struct {","-    JobRepository   *repository.JobRepository","-    RepositoryMutex sync.Mutex","-    jobSem          chan struct{}","-    nodeSem         chan struct{}","+func (r *JobRepository) RemoveTagByID(tagID int64) error {","+    jobIds, err := r.FindJobIdsByTag(tagID)","+    // ...","+    tx, err := r.DB.Beginx()","+    defer tx.Rollback()","+    // DELETE FROM jobtag WHERE tag_id = ?  (on tx)","+    // DELETE FROM tag WHERE id = ?  (on tx)","+    tx.Commit()","+    go r.removeTagFromArchiveJobs(jobIds)"," }"," ```"," ","-Initialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.","+**Impact:** Atomicity for tag deletion. Low frequency (admin operation) but prevents orphaned data."," ","-Add acquire/release in `handleJobEvent` and `handleNodeState`:","-```go","-api.jobSem <- struct{}{}","-defer func() { <-api.jobSem }()","-```","-","-This caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.","-"," ---"," ","-## Fix 5: Wrap SyncJobs in a Transaction","+## Implementation Order"," ","-**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)","+1. **Fix 6** (TransferCachedJobToMain) — trivial, fixes a real atomicity bug","+2. **Fix 7** (batch tags on job start) — biggest remaining contention reduction for NATS path","+3. **Fix 8** (batch tag imports) — only affects import, but easy once Fix 7 pattern exists","+4. **Fix 9** (RemoveTagByID transaction) — minor, correctness improvement"," ","-Currently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:","-- `tx, err := r.DB.Beginx()`","-- Run all three operations on `tx`","-- `tx.Commit()`","-- Do the read-only ID resolution outside the transaction","+---"," ","-This reduces lock acquisitions from 3 to 1 and ensures atomicity.","+## Files to Modify"," ","+| File | Changes |","+|------|---------|","+| `internal/repository/jobCreate.go` | Fix 6: wrap TransferCachedJobToMain in transaction |","+| `internal/repository/tags.go` | Fix 7: add `BatchAddTagsDirect`; Fix 8: add `BatchImportTags`; Fix 9: transaction in RemoveTagByID |","+| `internal/api/nats.go` | Fix 7: use BatchAddTagsDirect in handleStartJob |","+| `internal/api/job.go` | Fix 7: use BatchAddTagsDirect in startJob REST handler |","+| `internal/importer/handleImport.go` | Fix 8: use BatchImportTags |","+"," ---"," ","-## Implementation Order","+## What NOT to Change"," ","-1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact","-2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change","-3. **Fix 2** (batch node states) — biggest contention reduction","-4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction","-5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation","+These are already efficient and don't need modification:","+- `UpdateDuration` — single bulk UPDATE","+- `StopJobsExceedingWalltimeBy` — single bulk UPDATE","+- `DeleteJobsBefore` — single bulk DELETE","+- Footprint worker — already transactional per cluster","+- Archiver — already chains SETs into single UPDATE via Squirrel builder","+- `UpdateUser` — admin-only, very low frequency, not worth the complexity","+- `AddUser` deprecated metrics loop — marked DEPRECATED, will be removed; not worth optimizing"," "," ---"," "," ## Verification"," ","-1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.","-2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.","-3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.","-4. Run `go test ./internal/repository/... ./internal/api/... ./internal/auth/...` after all changes.","-5. Load test: simulate burst of 100+ concurrent job start/stop events + node state update with 500 nodes + LDAP sync running simultaneously. Monitor goroutine count and memory.","+1. `go test ./internal/repository/... ./internal/api/... ./internal/importer/...`","+2. After Fix 6: verify `TransferCachedJobToMain` atomicity — stop a job that's in cache, check job table has correct ID and cache is empty","+3. After Fix 7: start a job with multiple tags via NATS — verify all tags appear, check that only 1 transaction was used (enable debug logging)","+4. After Fix 9: delete a tag via GraphQL — verify both tag and jobtag rows removed atomically"]}],"originalFile":"# Fix: SQLite Write Contention Causing OOM Crash\n\n## Context\n\nThe server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.\n\n**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.\n\nThe cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.\n\n---\n\n## Fix 1: Increase busy_timeout (contention relief)\n\n**File:** `internal/repository/dbConnection.go:73`\n\nChange `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:\n\n**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.\n\n**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.\n\n**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.\n\nWith 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.\n\n---\n\n## Fix 2: Batch Node State Updates in a Transaction\n\nCurrently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.\n\n**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:\n- Accept a slice of `(hostname, cluster, nodeState)` tuples\n- Begin transaction\n- For each node: lookup ID (or insert node), then insert state — all within the same transaction\n- Commit once\n\n**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.\n\n**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).\n\nKeep the existing `UpdateNodeState` method for single-node use cases.\n\n---\n\n## Fix 3: Fix LDAP Sync Race Condition\n\nThe LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.\n\n**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:\n```go\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n    rolesJson, _ := json.Marshal(user.Roles)\n    projectsJson, _ := json.Marshal(user.Projects)\n    cols := \"username, name, roles, projects, ldap\"\n    _, err := r.DB.Exec(\n        `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,\n        user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n    return err\n}\n```\n\n**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.\n\nNote: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.\n\n---\n\n## Fix 4: Add Semaphore for NATS Handlers\n\nWithout rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.\n\n**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:\n```go\ntype NatsAPI struct {\n    JobRepository   *repository.JobRepository\n    RepositoryMutex sync.Mutex\n    jobSem          chan struct{}\n    nodeSem         chan struct{}\n}\n```\n\nInitialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.\n\nAdd acquire/release in `handleJobEvent` and `handleNodeState`:\n```go\napi.jobSem <- struct{}{}\ndefer func() { <-api.jobSem }()\n```\n\nThis caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.\n\n---\n\n## Fix 5: Wrap SyncJobs in a Transaction\n\n**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)\n\nCurrently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:\n- `tx, err := r.DB.Beginx()`\n- Run all three operations on `tx`\n- `tx.Commit()`\n- Do the read-only ID resolution outside the transaction\n\nThis reduces lock acquisitions from 3 to 1 and ensures atomicity.\n\n---\n\n## Implementation Order\n\n1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact\n2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change\n3. **Fix 2** (batch node states) — biggest contention reduction\n4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction\n5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation\n\n---\n\n## Verification\n\n1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.\n2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.\n3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.\n4. Run `go test ./internal/repository/... ./internal/api/... ./internal/auth/...` after all changes.\n5. Load test: simulate burst of 100+ concurrent job start/stop events + node state update with 500 nodes + LDAP sync running simultaneously. Monitor goroutine count and memory.\n"},"sourceToolAssistantUUID":"b4439843-d8a6-40b1-9d71-93da5b44f966","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"ff4272fb-2b35-4888-84ba-79edc4101eb9","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01LJeMZ6CFgXsvqraCsnbwHD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MUQUrUB1J3djg7qn2AaGP3","name":"ExitPlanMode","input":{"allowedPrompts":[{"tool":"Bash","prompt":"run go build and go test"}],"plan":"# Additional SQLite Write Contention Reductions\n\n## Context\n\nFixes 1-5 (busy_timeout, batch node states, LDAP sync, NATS semaphores, SyncJobs transaction) are already implemented. This plan identifies **remaining** opportunities to reduce DB write pressure through transactions and batching.\n\nAfter reviewing all write paths in the codebase, most periodic tasks are already well-optimized:\n- `UpdateDuration` — single bulk UPDATE, efficient\n- `StopJobsExceedingWalltimeBy` — single bulk UPDATE, efficient\n- `DeleteJobsBefore` — single bulk DELETE, efficient\n- Footprint worker — already uses `TransactionInit/TransactionAdd/TransactionEnd` per cluster\n- Archiver — chains UpdateFootprint + UpdateEnergy + MarkArchived into single `sq.Update` statement, efficient\n\nThe remaining opportunities are in **tag operations**, **TransferCachedJobToMain**, and **job imports**.\n\n---\n\n## Fix 6: Wrap TransferCachedJobToMain in a Transaction\n\n**File:** `internal/repository/jobCreate.go:130-149`\n\nCurrently does INSERT + DELETE as two separate `r.DB.Exec()` calls. If the process crashes between them, the job_cache row is orphaned (duplicate on next SyncJobs).\n\n**Change:** Wrap both operations in a transaction:\n```go\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n    tx, err := r.DB.Beginx()\n    // INSERT INTO job ... SELECT ... FROM job_cache WHERE id = ?\n    // newID from LastInsertId\n    // DELETE FROM job_cache WHERE id = ?\n    // tx.Commit()\n}\n```\n\n**Impact:** Atomicity + 1 lock acquisition instead of 2. Called per job stop from cache path.\n\n---\n\n## Fix 7: Batch Tag Operations on Job Start (NATS + REST)\n\n**File:** `internal/api/nats.go:228-233` — loops `AddTagOrCreate` per tag\n**File:** `internal/api/job.go` — same pattern in `startJob` REST handler\n\nCurrently each tag does: SELECT tag → INSERT tag (if new) → SELECT job → INSERT jobtag → SELECT tags → archive.UpdateTags. For a job with 5 tags = 30 individual DB operations.\n\n**Change:** Add `BatchAddTagsDirect` to `internal/repository/tags.go`:\n- Accept jobID + slice of tags\n- Begin transaction\n- For each tag: resolve/create tag ID, INSERT jobtag — all within same transaction\n- Commit\n- Single archive.UpdateTags call at the end (outside transaction)\n\nThen update callers:\n- `internal/api/nats.go:228-233` — replace loop with `BatchAddTagsDirect`\n- `internal/api/job.go` (startJob REST handler) — same change\n\n**Keep** existing `AddTagOrCreate` for single-tag use cases (GraphQL, REST tag endpoint).\n\n**Impact:** N tags = 1 transaction + 1 archive update instead of N * 5 separate operations. Most impactful when scheduler sends jobs with multiple tags.\n\n---\n\n## Fix 8: Batch Tag Imports\n\n**File:** `internal/importer/handleImport.go:111-116` — loops `ImportTag` per tag per job\n\nCurrently each tag does: SELECT tag → INSERT tag (if new) → INSERT jobtag. For 100 jobs with 3 tags each = 600+ individual operations.\n\n**Change:** Add `BatchImportTags` to `internal/repository/tags.go`:\n- Accept jobID + slice of (type, name, scope)\n- Begin transaction\n- For each tag: resolve/create tag ID + INSERT jobtag\n- Commit\n\nUpdate `handleImport.go` to call `BatchImportTags` instead of the loop.\n\n**Impact:** Reduces lock acquisitions from 2*N to 1 per job's tags during import. Import is a startup-only operation but can be long-running for large archives.\n\n---\n\n## Fix 9: Wrap RemoveTagByID in a Transaction\n\n**File:** `internal/repository/tags.go:216-244`\n\nCurrently does DELETE FROM jobtag + DELETE FROM tag as two separate operations. If the second fails, jobtag rows are gone but the orphaned tag row remains.\n\n**Change:**\n```go\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n    jobIds, err := r.FindJobIdsByTag(tagID)\n    // ...\n    tx, err := r.DB.Beginx()\n    defer tx.Rollback()\n    // DELETE FROM jobtag WHERE tag_id = ?  (on tx)\n    // DELETE FROM tag WHERE id = ?  (on tx)\n    tx.Commit()\n    go r.removeTagFromArchiveJobs(jobIds)\n}\n```\n\n**Impact:** Atomicity for tag deletion. Low frequency (admin operation) but prevents orphaned data.\n\n---\n\n## Implementation Order\n\n1. **Fix 6** (TransferCachedJobToMain) — trivial, fixes a real atomicity bug\n2. **Fix 7** (batch tags on job start) — biggest remaining contention reduction for NATS path\n3. **Fix 8** (batch tag imports) — only affects import, but easy once Fix 7 pattern exists\n4. **Fix 9** (RemoveTagByID transaction) — minor, correctness improvement\n\n---\n\n## Files to Modify\n\n| File | Changes |\n|------|---------|\n| `internal/repository/jobCreate.go` | Fix 6: wrap TransferCachedJobToMain in transaction |\n| `internal/repository/tags.go` | Fix 7: add `BatchAddTagsDirect`; Fix 8: add `BatchImportTags`; Fix 9: transaction in RemoveTagByID |\n| `internal/api/nats.go` | Fix 7: use BatchAddTagsDirect in handleStartJob |\n| `internal/api/job.go` | Fix 7: use BatchAddTagsDirect in startJob REST handler |\n| `internal/importer/handleImport.go` | Fix 8: use BatchImportTags |\n\n---\n\n## What NOT to Change\n\nThese are already efficient and don't need modification:\n- `UpdateDuration` — single bulk UPDATE\n- `StopJobsExceedingWalltimeBy` — single bulk UPDATE\n- `DeleteJobsBefore` — single bulk DELETE\n- Footprint worker — already transactional per cluster\n- Archiver — already chains SETs into single UPDATE via Squirrel builder\n- `UpdateUser` — admin-only, very low frequency, not worth the complexity\n- `AddUser` deprecated metrics loop — marked DEPRECATED, will be removed; not worth optimizing\n\n---\n\n## Verification\n\n1. `go test ./internal/repository/... ./internal/api/... ./internal/importer/...`\n2. After Fix 6: verify `TransferCachedJobToMain` atomicity — stop a job that's in cache, check job table has correct ID and cache is empty\n3. After Fix 7: start a job with multiple tags via NATS — verify all tags appear, check that only 1 transaction was used (enable debug logging)\n4. 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Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\treturn newID, nil\n}","newString":"// TransferCachedJobToMain moves a job from job_cache to the job table.\n// Caller must hold r.Mutex. Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"TransferCachedJobToMain: begin transaction: %w\", err)\n\t}\n\tdefer tx.Rollback()\n\n\tres, err := tx.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = tx.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\treturn 0, fmt.Errorf(\"TransferCachedJobToMain: commit: %w\", err)\n\t}\n\n\treturn newID, nil\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"encoding/json\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst NamedJobCacheInsert string = `INSERT INTO job_cache (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n);`\n\nconst NamedJobInsert string = `INSERT INTO job (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n);`\n\n// InsertJobDirect inserts a job directly into the job table (not job_cache).\n// Use this when the returned ID will be used for operations on the job table\n// (e.g., adding tags), or for imported jobs that are already completed.\nfunc (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Transfer cached jobs to main table and clear cache in a single transaction.\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer tx.Rollback()\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = tx.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}\n\n// TransferCachedJobToMain moves a job from job_cache to the job table.\n// Caller must hold r.Mutex. Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\treturn newID, nil\n}\n\n// Start inserts a new job in the table, returning the unique job ID.\n// Statistics are not transfered!\nfunc (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJob(job)\n}\n\n// StartDirect inserts a new job directly into the job table (not job_cache).\n// Use this when the returned ID will immediately be used for job table\n// operations such as adding tags.\nfunc (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJobDirect(job)\n}\n\n// Stop updates the job with the database id jobId using the provided arguments.\nfunc (r *JobRepository) Stop(\n\tjobID int64,\n\tduration int32,\n\tstate schema.JobState,\n\tmonitoringStatus int32,\n) (err error) {\n\t// Invalidate cache entries as job state is changing\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n\n\tstmt := sq.Update(\"job\").\n\t\tSet(\"job_state\", state).\n\t\tSet(\"duration\", duration).\n\t\tSet(\"monitoring_status\", monitoringStatus).\n\t\tWhere(\"job.id = ?\", jobID)\n\n\t_, err = stmt.RunWith(r.stmtCache).Exec()\n\treturn err\n}\n","structuredPatch":[{"oldStart":141,"oldLines":7,"newStart":141,"newLines":13,"lines":[" // TransferCachedJobToMain moves a job from job_cache to the job table."," // Caller must hold r.Mutex. Returns the new job table ID."," func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {","-  res, err := r.DB.Exec(","+  tx, err := r.DB.Beginx()","+  if err != nil {","+    return 0, fmt.Errorf(\"TransferCachedJobToMain: begin transaction: %w\", err)","+  }","+  defer tx.Rollback()","+","+  res, err := tx.Exec(","     \"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",","     cacheID)","   if err != nil {"]},{"oldStart":153,"oldLines":11,"newStart":159,"newLines":15,"lines":["     return 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)","   }"," ","-  _, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)","+  _, err = tx.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)","   if err != nil {","     return 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)","   }"," ","+  if err := tx.Commit(); err != nil {","+    return 0, fmt.Errorf(\"TransferCachedJobToMain: commit: %w\", err)","+  }","+","   return newID, nil"," }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"122536c7-4640-495c-9256-d583b5a41625","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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It also\n    17→includes a web interface for ClusterCockpit. This implementation replaces the\n    18→previous PHP Symfony based ClusterCockpit web interface. The reasons for\n    19→switching from PHP Symfony to a Golang based solution are explained\n    20→[here](https://github.com/ClusterCockpit/ClusterCockpit/wiki/Why-we-switched-from-PHP-Symfony-to-a-Golang-based-solution).\n    21→\n    22→## Overview\n    23→\n    24→This is a Golang web backend for the ClusterCockpit job-specific performance\n    25→monitoring framework. It provides a REST API and an optional NATS-based messaging\n    26→API for integrating ClusterCockpit with an HPC cluster batch system and external\n    27→analysis scripts. Data exchange between the web front-end and the back-end is\n    28→based on a GraphQL API. The web frontend is also served by the backend using\n    29→[Svelte](https://svelte.dev/) components. Layout and styling are based on\n    30→[Bootstrap 5](https://getbootstrap.com/) using\n    31→[Bootstrap Icons](https://icons.getbootstrap.com/).\n    32→\n    33→The backend uses [SQLite 3](https://sqlite.org/) as the relational SQL database.\n    34→While there are metric data backends for the InfluxDB and Prometheus time series\n    35→databases, the only tested and supported setup is to use cc-metric-store as the\n    36→metric data backend. Documentation on how to integrate ClusterCockpit with other\n    37→time series databases will be added in the future.\n    38→\n    39→For real-time integration with HPC systems, the backend can subscribe to\n    40→[NATS](https://nats.io/) subjects to receive job start/stop events and node\n    41→state updates, providing an alternative to REST API polling.\n    42→\n    43→Completed batch jobs are stored in a file-based job archive according to\n    44→[this specification](https://github.com/ClusterCockpit/cc-specifications/tree/master/job-archive).\n    45→The backend supports authentication via local accounts, an external LDAP\n    46→directory, and JWT tokens. Authorization for APIs is implemented with\n    47→[JWT](https://jwt.io/) tokens created with public/private key encryption.\n    48→\n    49→You find a detailed documentation on the [ClusterCockpit\n    50→Webpage](https://clustercockpit.org).\n    51→\n    52→## Build requirements\n    53→\n    54→ClusterCockpit requires a current version of the golang toolchain and node.js.\n    55→You can check `go.mod` to see what is the current minimal golang version needed.\n    56→Homebrew and Archlinux usually have current golang versions. For other Linux\n    57→distros this often means that you have to install the golang compiler yourself.\n    58→Fortunately, this is easy with golang. Since much of the functionality is based\n    59→on the Go standard library, it is crucial for security and performance to use a\n    60→current version of golang. In addition, an old golang toolchain may limit the supported\n    61→versions of third-party packages.\n    62→\n    63→## How to try ClusterCockpit with a demo setup\n    64→\n    65→We provide a shell script that downloads demo data and automatically starts the\n    66→cc-backend. You will need `wget`, `go`, `node`, `npm` in your path to\n    67→start the demo. The demo downloads 32MB of data (223MB on disk).\n    68→\n    69→```sh\n    70→git clone https://github.com/ClusterCockpit/cc-backend.git\n    71→cd ./cc-backend\n    72→./startDemo.sh\n    73→```\n    74→\n    75→You can also try the demo using the latest release binary.\n    76→Create a folder and put the release binary `cc-backend` into this folder.\n    77→Execute the following steps:\n    78→\n    79→```shell\n    80→./cc-backend -init\n    81→vim config.json (Add a second cluster entry and name the clusters alex and fritz)\n    82→wget https://hpc-mover.rrze.uni-erlangen.de/HPC-Data/0x7b58aefb/eig7ahyo6fo2bais0ephuf2aitohv1ai/job-archive-demo.tar\n    83→tar xf job-archive-demo.tar\n    84→./cc-backend -init-db -add-user demo:admin:demo -loglevel info\n    85→./cc-backend -server -dev -loglevel info\n    86→```\n    87→\n    88→You can access the web interface at [http://localhost:8080](http://localhost:8080).\n    89→Credentials for login are `demo:demo`.\n    90→Please note that some views do not work without a metric backend (e.g., the\n    91→Analysis, Systems and Status views).\n    92→\n    93→## How to build and run\n    94→\n    95→There is a Makefile to automate the build of cc-backend. The Makefile supports\n    96→the following targets:\n    97→\n    98→- `make`: Initialize `var` directory and build svelte frontend and backend\n    99→  binary. Note that there is no proper prerequisite handling. Any change of\n   100→  frontend source files will result in a complete rebuild.\n   101→- `make clean`: Clean go build cache and remove binary.\n   102→- `make test`: Run the tests that are also run in the GitHub workflow setup.\n   103→\n   104→A common workflow for setting up cc-backend from scratch is:\n   105→\n   106→```sh\n   107→git clone https://github.com/ClusterCockpit/cc-backend.git\n   108→\n   109→# Build binary\n   110→cd ./cc-backend/\n   111→make\n   112→\n   113→# EDIT THE .env FILE BEFORE YOU DEPLOY (Change the secrets)!\n   114→# If authentication is disabled, it can be empty.\n   115→cp configs/env-template.txt  .env\n   116→vim .env\n   117→\n   118→cp configs/config.json .\n   119→vim config.json\n   120→\n   121→#Optional: Link an existing job archive:\n   122→ln -s <your-existing-job-archive> ./var/job-archive\n   123→\n   124→# This will first initialize the job.db database by traversing all\n   125→# `meta.json` files in the job-archive and add a new user.\n   126→./cc-backend -init-db -add-user <your-username>:admin:<your-password>\n   127→\n   128→# Start a HTTP server (HTTPS can be enabled in the configuration, the default port is 8080).\n   129→# The --dev flag enables GraphQL Playground (http://localhost:8080/playground) and Swagger UI (http://localhost:8080/swagger).\n   130→./cc-backend -server  -dev\n   131→\n   132→# Show other options:\n   133→./cc-backend -help\n   134→```\n   135→\n   136→## Database Configuration\n   137→\n   138→cc-backend uses SQLite as its database. For large installations, SQLite memory\n   139→usage can be tuned via the optional `db-config` section in config.json under\n   140→`main`:\n   141→\n   142→```json\n   143→{\n   144→  \"main\": {\n   145→    \"db\": \"./var/job.db\",\n   146→    \"db-config\": {\n   147→      \"cache-size-mb\": 2048,\n   148→      \"soft-heap-limit-mb\": 16384,\n   149→      \"max-open-connections\": 4,\n   150→      \"max-idle-connections\": 4,\n   151→      \"max-idle-time-minutes\": 10\n   152→    }\n   153→  }\n   154→}\n   155→```\n   156→\n   157→All fields are optional. If `db-config` is omitted entirely, built-in defaults\n   158→are used.\n   159→\n   160→### Options\n   161→\n   162→| Option                  | Default | Description                                                                                                                                                                             |\n   163→| ----------------------- | ------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n   164→| `cache-size-mb`         | 2048    | SQLite page cache size per connection in MB. Maps to `PRAGMA cache_size`. Total cache memory is up to `cache-size-mb × max-open-connections`.                                           |\n   165→| `soft-heap-limit-mb`    | 16384   | Process-wide SQLite soft heap limit in MB. SQLite will try to release cache pages to stay under this limit. Queries won't fail if exceeded, but cache eviction becomes more aggressive. |\n   166→| `max-open-connections`  | 4       | Maximum number of open database connections.                                                                                                                                            |\n   167→| `max-idle-connections`  | 4       | Maximum number of idle database connections kept in the pool.                                                                                                                           |\n   168→| `max-idle-time-minutes` | 10      | Maximum time in minutes a connection can sit idle before being closed.                                                                                                                  |\n   169→\n   170→### Sizing Guidelines\n   171→\n   172→SQLite's `cache_size` is a **per-connection** setting — each connection\n   173→maintains its own independent page cache. With multiple connections, the total\n   174→memory available for caching is the sum across all connections.\n   175→\n   176→In practice, different connections tend to cache **different pages** (e.g., one\n   177→handles a job listing query while another runs a statistics aggregation), so\n   178→their caches naturally spread across the database. The formula\n   179→`DB_size / max-open-connections` gives enough per-connection cache that the\n   180→combined caches can cover the entire database.\n   181→\n   182→However, this is a best-case estimate. Connections running similar queries will\n   183→cache the same pages redundantly. In the worst case (all connections caching\n   184→identical pages), only `cache-size-mb` worth of unique data is cached rather\n   185→than `cache-size-mb × max-open-connections`. For workloads with diverse\n   186→concurrent queries, cache overlap is typically low.\n   187→\n   188→**Rules of thumb:**\n   189→\n   190→- **cache-size-mb**: Set to `DB_size_in_MB / max-open-connections` to allow the\n   191→  entire database to be cached in memory. For example, an 80GB database with 8\n   192→  connections needs at least 10240 MB (10GB) per connection. If your workload\n   193→  has many similar concurrent queries, consider setting it higher to account for\n   194→  cache overlap between connections.\n   195→\n   196→- **soft-heap-limit-mb**: Should be >= `cache-size-mb × max-open-connections` to\n   197→  avoid cache thrashing. This is the total SQLite memory budget for the process.\n   198→- On small installations the defaults work well. On servers with large databases\n   199→  (tens of GB) and plenty of RAM, increasing these values significantly improves\n   200→  query performance by reducing disk I/O.\n   201→\n   202→### Example: Large Server (512GB RAM, 80GB database)\n   203→\n   204→```json\n   205→{\n   206→  \"main\": {\n   207→    \"db-config\": {\n   208→      \"cache-size-mb\": 16384,\n   209→      \"soft-heap-limit-mb\": 131072,\n   210→      \"max-open-connections\": 8,\n   211→      \"max-idle-time-minutes\": 30\n   212→    }\n   213→  }\n   214→}\n   215→```\n   216→\n   217→This allows the entire 80GB database to be cached (8 × 16GB = 128GB page cache)\n   218→with a 128GB soft heap limit, using about 25% of available RAM.\n   219→\n   220→The effective configuration is logged at startup for verification.\n   221→\n   222→## Project file structure\n   223→\n   224→- [`.github/`](https://github.com/ClusterCockpit/cc-backend/tree/master/.github)\n   225→  GitHub Actions workflows and dependabot configuration for CI/CD.\n   226→- [`api/`](https://github.com/ClusterCockpit/cc-backend/tree/master/api)\n   227→  contains the API schema files for the REST and GraphQL APIs. The REST API is\n   228→  documented in the OpenAPI 3.0 format in\n   229→  [./api/swagger.yaml](./api/swagger.yaml). The GraphQL schema is in\n   230→  [./api/schema.graphqls](./api/schema.graphqls).\n   231→- [`cmd/cc-backend`](https://github.com/ClusterCockpit/cc-backend/tree/master/cmd/cc-backend)\n   232→  contains the main application entry point and CLI implementation.\n   233→- [`configs/`](https://github.com/ClusterCockpit/cc-backend/tree/master/configs)\n   234→  contains documentation about configuration and command line options and required\n   235→  environment variables. Sample configuration files are provided.\n   236→- [`init/`](https://github.com/ClusterCockpit/cc-backend/tree/master/init)\n   237→  contains an example of setting up systemd for production use.\n   238→- [`internal/`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal)\n   239→  contains library source code that is not intended for use by others.\n   240→  - [`api`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/api)\n   241→    REST API handlers and NATS integration\n   242→  - [`archiver`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/archiver)\n   243→    Job archiving functionality\n   244→  - [`auth`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/auth)\n   245→    Authentication (local, LDAP, OIDC) and JWT token handling\n   246→  - [`config`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/config)\n   247→    Configuration management and validation\n   248→  - [`graph`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/graph)\n   249→    GraphQL schema and resolvers\n   250→  - [`importer`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/importer)\n   251→    Job data import and database initialization\n   252→  - [`metricdispatch`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricdispatch)\n   253→    Dispatches metric data loading to appropriate backends\n   254→  - [`repository`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/repository)\n   255→    Database repository layer for jobs and metadata\n   256→  - [`routerConfig`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/routerConfig)\n   257→    HTTP router configuration and middleware\n   258→  - [`tagger`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/tagger)\n   259→    Job classification and application detection\n   260→  - [`taskmanager`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/taskmanager)\n   261→    Background task management and scheduled jobs\n   262→  - [`metricstoreclient`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricstoreclient)\n   263→    Client for cc-metric-store queries\n   264→- [`pkg/`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg)\n   265→  contains Go packages that can be used by other projects.\n   266→  - [`archive`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/archive)\n   267→    Job archive backend implementations (filesystem, S3, SQLite)\n   268→  - [`metricstore`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/metricstore)\n   269→    In-memory metric data store with checkpointing and metric loading\n   270→- [`tools/`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools)\n   271→  Additional command line helper tools.\n   272→  - [`archive-manager`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-manager)\n   273→    Commands for getting infos about an existing job archive, importing jobs\n   274→    between archive backends, and converting archives between JSON and Parquet formats.\n   275→  - [`archive-migration`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-migration)\n   276→    Tool for migrating job archives between formats.\n   277→  - [`convert-pem-pubkey`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/convert-pem-pubkey)\n   278→    Tool to convert external pubkey for use in `cc-backend`.\n   279→  - [`gen-keypair`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/gen-keypair)\n   280→    contains a small application to generate a compatible JWT keypair. You find\n   281→    documentation on how to use it\n   282→    [here](https://github.com/ClusterCockpit/cc-backend/blob/master/docs/JWT-Handling.md).\n   283→- [`web/`](https://github.com/ClusterCockpit/cc-backend/tree/master/web)\n   284→  Server-side templates and frontend-related files:\n   285→  - [`frontend`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/frontend)\n   286→    Svelte components and static assets for the frontend UI\n   287→  - [`templates`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/templates)\n   288→    Server-side Go templates, including monitoring views\n   289→- [`gqlgen.yml`](https://github.com/ClusterCockpit/cc-backend/blob/master/gqlgen.yml)\n   290→  Configures the behaviour and generation of\n   291→  [gqlgen](https://github.com/99designs/gqlgen).\n   292→- [`startDemo.sh`](https://github.com/ClusterCockpit/cc-backend/blob/master/startDemo.sh)\n   293→  is a shell script that sets up demo data, and builds and starts `cc-backend`.\n   294→"}]},"uuid":"4cd9f95b-f808-4a37-a113-308032c74511","timestamp":"2026-03-16T10:27:19.687Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/README.md","content":"# NOTE\n\nWhile we do our best to keep the master branch in a usable state, there is no guarantee the master branch works.\nPlease do not use it for production!\n\nPlease have a look at the [Release\nNotes](https://github.com/ClusterCockpit/cc-backend/blob/master/ReleaseNotes.md)\nfor breaking changes!\n\n# ClusterCockpit REST and GraphQL API backend\n\n[![Build](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml/badge.svg)](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml)\n\nThis is a Golang backend implementation for a REST and GraphQL API according to\nthe [ClusterCockpit\nspecifications](https://github.com/ClusterCockpit/cc-specifications). It also\nincludes a web interface for ClusterCockpit. This implementation replaces the\nprevious PHP Symfony based ClusterCockpit web interface. The reasons for\nswitching from PHP Symfony to a Golang based solution are explained\n[here](https://github.com/ClusterCockpit/ClusterCockpit/wiki/Why-we-switched-from-PHP-Symfony-to-a-Golang-based-solution).\n\n## Overview\n\nThis is a Golang web backend for the ClusterCockpit job-specific performance\nmonitoring framework. It provides a REST API and an optional NATS-based messaging\nAPI for integrating ClusterCockpit with an HPC cluster batch system and external\nanalysis scripts. Data exchange between the web front-end and the back-end is\nbased on a GraphQL API. The web frontend is also served by the backend using\n[Svelte](https://svelte.dev/) components. Layout and styling are based on\n[Bootstrap 5](https://getbootstrap.com/) using\n[Bootstrap Icons](https://icons.getbootstrap.com/).\n\nThe backend uses [SQLite 3](https://sqlite.org/) as the relational SQL database.\nWhile there are metric data backends for the InfluxDB and Prometheus time series\ndatabases, the only tested and supported setup is to use cc-metric-store as the\nmetric data backend. Documentation on how to integrate ClusterCockpit with other\ntime series databases will be added in the future.\n\nFor real-time integration with HPC systems, the backend can subscribe to\n[NATS](https://nats.io/) subjects to receive job start/stop events and node\nstate updates, providing an alternative to REST API polling.\n\nCompleted batch jobs are stored in a file-based job archive according to\n[this specification](https://github.com/ClusterCockpit/cc-specifications/tree/master/job-archive).\nThe backend supports authentication via local accounts, an external LDAP\ndirectory, and JWT tokens. Authorization for APIs is implemented with\n[JWT](https://jwt.io/) tokens created with public/private key encryption.\n\nYou find a detailed documentation on the [ClusterCockpit\nWebpage](https://clustercockpit.org).\n\n## Build requirements\n\nClusterCockpit requires a current version of the golang toolchain and node.js.\nYou can check `go.mod` to see what is the current minimal golang version needed.\nHomebrew and Archlinux usually have current golang versions. For other Linux\ndistros this often means that you have to install the golang compiler yourself.\nFortunately, this is easy with golang. Since much of the functionality is based\non the Go standard library, it is crucial for security and performance to use a\ncurrent version of golang. In addition, an old golang toolchain may limit the supported\nversions of third-party packages.\n\n## How to try ClusterCockpit with a demo setup\n\nWe provide a shell script that downloads demo data and automatically starts the\ncc-backend. You will need `wget`, `go`, `node`, `npm` in your path to\nstart the demo. The demo downloads 32MB of data (223MB on disk).\n\n```sh\ngit clone https://github.com/ClusterCockpit/cc-backend.git\ncd ./cc-backend\n./startDemo.sh\n```\n\nYou can also try the demo using the latest release binary.\nCreate a folder and put the release binary `cc-backend` into this folder.\nExecute the following steps:\n\n```shell\n./cc-backend -init\nvim config.json (Add a second cluster entry and name the clusters alex and fritz)\nwget https://hpc-mover.rrze.uni-erlangen.de/HPC-Data/0x7b58aefb/eig7ahyo6fo2bais0ephuf2aitohv1ai/job-archive-demo.tar\ntar xf job-archive-demo.tar\n./cc-backend -init-db -add-user demo:admin:demo -loglevel info\n./cc-backend -server -dev -loglevel info\n```\n\nYou can access the web interface at [http://localhost:8080](http://localhost:8080).\nCredentials for login are `demo:demo`.\nPlease note that some views do not work without a metric backend (e.g., the\nAnalysis, Systems and Status views).\n\n## How to build and run\n\nThere is a Makefile to automate the build of cc-backend. The Makefile supports\nthe following targets:\n\n- `make`: Initialize `var` directory and build svelte frontend and backend\n  binary. Note that there is no proper prerequisite handling. Any change of\n  frontend source files will result in a complete rebuild.\n- `make clean`: Clean go build cache and remove binary.\n- `make test`: Run the tests that are also run in the GitHub workflow setup.\n\nA common workflow for setting up cc-backend from scratch is:\n\n```sh\ngit clone https://github.com/ClusterCockpit/cc-backend.git\n\n# Build binary\ncd ./cc-backend/\nmake\n\n# EDIT THE .env FILE BEFORE YOU DEPLOY (Change the secrets)!\n# If authentication is disabled, it can be empty.\ncp configs/env-template.txt  .env\nvim .env\n\ncp configs/config.json .\nvim config.json\n\n#Optional: Link an existing job archive:\nln -s <your-existing-job-archive> ./var/job-archive\n\n# This will first initialize the job.db database by traversing all\n# `meta.json` files in the job-archive and add a new user.\n./cc-backend -init-db -add-user <your-username>:admin:<your-password>\n\n# Start a HTTP server (HTTPS can be enabled in the configuration, the default port is 8080).\n# The --dev flag enables GraphQL Playground (http://localhost:8080/playground) and Swagger UI (http://localhost:8080/swagger).\n./cc-backend -server  -dev\n\n# Show other options:\n./cc-backend -help\n```\n\n## Database Configuration\n\ncc-backend uses SQLite as its database. For large installations, SQLite memory\nusage can be tuned via the optional `db-config` section in config.json under\n`main`:\n\n```json\n{\n  \"main\": {\n    \"db\": \"./var/job.db\",\n    \"db-config\": {\n      \"cache-size-mb\": 2048,\n      \"soft-heap-limit-mb\": 16384,\n      \"max-open-connections\": 4,\n      \"max-idle-connections\": 4,\n      \"max-idle-time-minutes\": 10\n    }\n  }\n}\n```\n\nAll fields are optional. If `db-config` is omitted entirely, built-in defaults\nare used.\n\n### Options\n\n| Option                  | Default | Description                                                                                                                                                                             |\n| ----------------------- | ------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| `cache-size-mb`         | 2048    | SQLite page cache size per connection in MB. Maps to `PRAGMA cache_size`. Total cache memory is up to `cache-size-mb × max-open-connections`.                                           |\n| `soft-heap-limit-mb`    | 16384   | Process-wide SQLite soft heap limit in MB. SQLite will try to release cache pages to stay under this limit. Queries won't fail if exceeded, but cache eviction becomes more aggressive. |\n| `max-open-connections`  | 4       | Maximum number of open database connections.                                                                                                                                            |\n| `max-idle-connections`  | 4       | Maximum number of idle database connections kept in the pool.                                                                                                                           |\n| `max-idle-time-minutes` | 10      | Maximum time in minutes a connection can sit idle before being closed.                                                                                                                  |\n\n### Sizing Guidelines\n\nSQLite's `cache_size` is a **per-connection** setting — each connection\nmaintains its own independent page cache. With multiple connections, the total\nmemory available for caching is the sum across all connections.\n\nIn practice, different connections tend to cache **different pages** (e.g., one\nhandles a job listing query while another runs a statistics aggregation), so\ntheir caches naturally spread across the database. The formula\n`DB_size / max-open-connections` gives enough per-connection cache that the\ncombined caches can cover the entire database.\n\nHowever, this is a best-case estimate. Connections running similar queries will\ncache the same pages redundantly. In the worst case (all connections caching\nidentical pages), only `cache-size-mb` worth of unique data is cached rather\nthan `cache-size-mb × max-open-connections`. For workloads with diverse\nconcurrent queries, cache overlap is typically low.\n\n**Rules of thumb:**\n\n- **cache-size-mb**: Set to `DB_size_in_MB / max-open-connections` to allow the\n  entire database to be cached in memory. For example, an 80GB database with 8\n  connections needs at least 10240 MB (10GB) per connection. If your workload\n  has many similar concurrent queries, consider setting it higher to account for\n  cache overlap between connections.\n\n- **soft-heap-limit-mb**: Should be >= `cache-size-mb × max-open-connections` to\n  avoid cache thrashing. This is the total SQLite memory budget for the process.\n- On small installations the defaults work well. On servers with large databases\n  (tens of GB) and plenty of RAM, increasing these values significantly improves\n  query performance by reducing disk I/O.\n\n### Example: Large Server (512GB RAM, 80GB database)\n\n```json\n{\n  \"main\": {\n    \"db-config\": {\n      \"cache-size-mb\": 16384,\n      \"soft-heap-limit-mb\": 131072,\n      \"max-open-connections\": 8,\n      \"max-idle-time-minutes\": 30\n    }\n  }\n}\n```\n\nThis allows the entire 80GB database to be cached (8 × 16GB = 128GB page cache)\nwith a 128GB soft heap limit, using about 25% of available RAM.\n\nThe effective configuration is logged at startup for verification.\n\n## Project file structure\n\n- [`.github/`](https://github.com/ClusterCockpit/cc-backend/tree/master/.github)\n  GitHub Actions workflows and dependabot configuration for CI/CD.\n- [`api/`](https://github.com/ClusterCockpit/cc-backend/tree/master/api)\n  contains the API schema files for the REST and GraphQL APIs. The REST API is\n  documented in the OpenAPI 3.0 format in\n  [./api/swagger.yaml](./api/swagger.yaml). The GraphQL schema is in\n  [./api/schema.graphqls](./api/schema.graphqls).\n- [`cmd/cc-backend`](https://github.com/ClusterCockpit/cc-backend/tree/master/cmd/cc-backend)\n  contains the main application entry point and CLI implementation.\n- [`configs/`](https://github.com/ClusterCockpit/cc-backend/tree/master/configs)\n  contains documentation about configuration and command line options and required\n  environment variables. Sample configuration files are provided.\n- [`init/`](https://github.com/ClusterCockpit/cc-backend/tree/master/init)\n  contains an example of setting up systemd for production use.\n- [`internal/`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal)\n  contains library source code that is not intended for use by others.\n  - [`api`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/api)\n    REST API handlers and NATS integration\n  - [`archiver`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/archiver)\n    Job archiving functionality\n  - [`auth`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/auth)\n    Authentication (local, LDAP, OIDC) and JWT token handling\n  - [`config`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/config)\n    Configuration management and validation\n  - [`graph`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/graph)\n    GraphQL schema and resolvers\n  - [`importer`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/importer)\n    Job data import and database initialization\n  - [`metricdispatch`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricdispatch)\n    Dispatches metric data loading to appropriate backends\n  - [`repository`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/repository)\n    Database repository layer for jobs and metadata\n  - [`routerConfig`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/routerConfig)\n    HTTP router configuration and middleware\n  - [`tagger`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/tagger)\n    Job classification and application detection\n  - [`taskmanager`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/taskmanager)\n    Background task management and scheduled jobs\n  - [`metricstoreclient`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricstoreclient)\n    Client for cc-metric-store queries\n- [`pkg/`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg)\n  contains Go packages that can be used by other projects.\n  - [`archive`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/archive)\n    Job archive backend implementations (filesystem, S3, SQLite)\n  - [`metricstore`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/metricstore)\n    In-memory metric data store with checkpointing and metric loading\n- [`tools/`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools)\n  Additional command line helper tools.\n  - [`archive-manager`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-manager)\n    Commands for getting infos about an existing job archive, importing jobs\n    between archive backends, and converting archives between JSON and Parquet formats.\n  - [`archive-migration`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-migration)\n    Tool for migrating job archives between formats.\n  - [`convert-pem-pubkey`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/convert-pem-pubkey)\n    Tool to convert external pubkey for use in `cc-backend`.\n  - [`gen-keypair`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/gen-keypair)\n    contains a small application to generate a compatible JWT keypair. You find\n    documentation on how to use it\n    [here](https://github.com/ClusterCockpit/cc-backend/blob/master/docs/JWT-Handling.md).\n- [`web/`](https://github.com/ClusterCockpit/cc-backend/tree/master/web)\n  Server-side templates and frontend-related files:\n  - [`frontend`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/frontend)\n    Svelte components and static assets for the frontend UI\n  - [`templates`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/templates)\n    Server-side Go templates, including monitoring views\n- [`gqlgen.yml`](https://github.com/ClusterCockpit/cc-backend/blob/master/gqlgen.yml)\n  Configures the behaviour and generation of\n  [gqlgen](https://github.com/99designs/gqlgen).\n- [`startDemo.sh`](https://github.com/ClusterCockpit/cc-backend/blob/master/startDemo.sh)\n  is a shell script that sets up demo data, and builds and starts `cc-backend`.\n","numLines":294,"startLine":1,"totalLines":294}},"sourceToolAssistantUUID":"6f0d52ca-e714-4e0a-bd73-e92dee2c37e1","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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It also\nincludes a web interface for ClusterCockpit. This implementation replaces the\nprevious PHP Symfony based ClusterCockpit web interface. The reasons for\nswitching from PHP Symfony to a Golang based solution are explained\n[here](https://github.com/ClusterCockpit/ClusterCockpit/wiki/Why-we-switched-from-PHP-Symfony-to-a-Golang-based-solution).\n\n## Overview\n\nThis is a Golang web backend for the ClusterCockpit job-specific performance\nmonitoring framework. It provides a REST API and an optional NATS-based messaging\nAPI for integrating ClusterCockpit with an HPC cluster batch system and external\nanalysis scripts. Data exchange between the web front-end and the back-end is\nbased on a GraphQL API. The web frontend is also served by the backend using\n[Svelte](https://svelte.dev/) components. Layout and styling are based on\n[Bootstrap 5](https://getbootstrap.com/) using\n[Bootstrap Icons](https://icons.getbootstrap.com/).\n\nThe backend uses [SQLite 3](https://sqlite.org/) as the relational SQL database.\nWhile there are metric data backends for the InfluxDB and Prometheus time series\ndatabases, the only tested and supported setup is to use cc-metric-store as the\nmetric data backend. Documentation on how to integrate ClusterCockpit with other\ntime series databases will be added in the future.\n\nFor real-time integration with HPC systems, the backend can subscribe to\n[NATS](https://nats.io/) subjects to receive job start/stop events and node\nstate updates, providing an alternative to REST API polling.\n\nCompleted batch jobs are stored in a file-based job archive according to\n[this specification](https://github.com/ClusterCockpit/cc-specifications/tree/master/job-archive).\nThe backend supports authentication via local accounts, an external LDAP\ndirectory, and JWT tokens. Authorization for APIs is implemented with\n[JWT](https://jwt.io/) tokens created with public/private key encryption.\n\nYou find a detailed documentation on the [ClusterCockpit\nWebpage](https://clustercockpit.org).\n\n## Build requirements\n\nClusterCockpit requires a current version of the golang toolchain and node.js.\nYou can check `go.mod` to see what is the current minimal golang version needed.\nHomebrew and Archlinux usually have current golang versions. For other Linux\ndistros this often means that you have to install the golang compiler yourself.\nFortunately, this is easy with golang. Since much of the functionality is based\non the Go standard library, it is crucial for security and performance to use a\ncurrent version of golang. In addition, an old golang toolchain may limit the supported\nversions of third-party packages.\n\n## How to try ClusterCockpit with a demo setup\n\nWe provide a shell script that downloads demo data and automatically starts the\ncc-backend. You will need `wget`, `go`, `node`, `npm` in your path to\nstart the demo. The demo downloads 32MB of data (223MB on disk).\n\n```sh\ngit clone https://github.com/ClusterCockpit/cc-backend.git\ncd ./cc-backend\n./startDemo.sh\n```\n\nYou can also try the demo using the latest release binary.\nCreate a folder and put the release binary `cc-backend` into this folder.\nExecute the following steps:\n\n```shell\n./cc-backend -init\nvim config.json (Add a second cluster entry and name the clusters alex and fritz)\nwget https://hpc-mover.rrze.uni-erlangen.de/HPC-Data/0x7b58aefb/eig7ahyo6fo2bais0ephuf2aitohv1ai/job-archive-demo.tar\ntar xf job-archive-demo.tar\n./cc-backend -init-db -add-user demo:admin:demo -loglevel info\n./cc-backend -server -dev -loglevel info\n```\n\nYou can access the web interface at [http://localhost:8080](http://localhost:8080).\nCredentials for login are `demo:demo`.\nPlease note that some views do not work without a metric backend (e.g., the\nAnalysis, Systems and Status views).\n\n## How to build and run\n\nThere is a Makefile to automate the build of cc-backend. The Makefile supports\nthe following targets:\n\n- `make`: Initialize `var` directory and build svelte frontend and backend\n  binary. Note that there is no proper prerequisite handling. Any change of\n  frontend source files will result in a complete rebuild.\n- `make clean`: Clean go build cache and remove binary.\n- `make test`: Run the tests that are also run in the GitHub workflow setup.\n\nA common workflow for setting up cc-backend from scratch is:\n\n```sh\ngit clone https://github.com/ClusterCockpit/cc-backend.git\n\n# Build binary\ncd ./cc-backend/\nmake\n\n# EDIT THE .env FILE BEFORE YOU DEPLOY (Change the secrets)!\n# If authentication is disabled, it can be empty.\ncp configs/env-template.txt  .env\nvim .env\n\ncp configs/config.json .\nvim config.json\n\n#Optional: Link an existing job archive:\nln -s <your-existing-job-archive> ./var/job-archive\n\n# This will first initialize the job.db database by traversing all\n# `meta.json` files in the job-archive and add a new user.\n./cc-backend -init-db -add-user <your-username>:admin:<your-password>\n\n# Start a HTTP server (HTTPS can be enabled in the configuration, the default port is 8080).\n# The --dev flag enables GraphQL Playground (http://localhost:8080/playground) and Swagger UI (http://localhost:8080/swagger).\n./cc-backend -server  -dev\n\n# Show other options:\n./cc-backend -help\n```\n\n## Database Configuration\n\ncc-backend uses SQLite as its database. For large installations, SQLite memory\nusage can be tuned via the optional `db-config` section in config.json under\n`main`:\n\n```json\n{\n  \"main\": {\n    \"db\": \"./var/job.db\",\n    \"db-config\": {\n      \"cache-size-mb\": 2048,\n      \"soft-heap-limit-mb\": 16384,\n      \"max-open-connections\": 4,\n      \"max-idle-connections\": 4,\n      \"max-idle-time-minutes\": 10\n    }\n  }\n}\n```\n\nAll fields are optional. If `db-config` is omitted entirely, built-in defaults\nare used.\n\n### Options\n\n| Option                  | Default | Description                                                                                                                                                                             |\n| ----------------------- | ------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| `cache-size-mb`         | 2048    | SQLite page cache size per connection in MB. Maps to `PRAGMA cache_size`. Total cache memory is up to `cache-size-mb × max-open-connections`.                                           |\n| `soft-heap-limit-mb`    | 16384   | Process-wide SQLite soft heap limit in MB. SQLite will try to release cache pages to stay under this limit. Queries won't fail if exceeded, but cache eviction becomes more aggressive. |\n| `max-open-connections`  | 4       | Maximum number of open database connections.                                                                                                                                            |\n| `max-idle-connections`  | 4       | Maximum number of idle database connections kept in the pool.                                                                                                                           |\n| `max-idle-time-minutes` | 10      | Maximum time in minutes a connection can sit idle before being closed.                                                                                                                  |\n\n### Sizing Guidelines\n\nSQLite's `cache_size` is a **per-connection** setting — each connection\nmaintains its own independent page cache. With multiple connections, the total\nmemory available for caching is the sum across all connections.\n\nIn practice, different connections tend to cache **different pages** (e.g., one\nhandles a job listing query while another runs a statistics aggregation), so\ntheir caches naturally spread across the database. The formula\n`DB_size / max-open-connections` gives enough per-connection cache that the\ncombined caches can cover the entire database.\n\nHowever, this is a best-case estimate. Connections running similar queries will\ncache the same pages redundantly. In the worst case (all connections caching\nidentical pages), only `cache-size-mb` worth of unique data is cached rather\nthan `cache-size-mb × max-open-connections`. For workloads with diverse\nconcurrent queries, cache overlap is typically low.\n\n**Rules of thumb:**\n\n- **cache-size-mb**: Set to `DB_size_in_MB / max-open-connections` to allow the\n  entire database to be cached in memory. For example, an 80GB database with 8\n  connections needs at least 10240 MB (10GB) per connection. If your workload\n  has many similar concurrent queries, consider setting it higher to account for\n  cache overlap between connections.\n\n- **soft-heap-limit-mb**: Should be >= `cache-size-mb × max-open-connections` to\n  avoid cache thrashing. This is the total SQLite memory budget for the process.\n- On small installations the defaults work well. On servers with large databases\n  (tens of GB) and plenty of RAM, increasing these values significantly improves\n  query performance by reducing disk I/O.\n\n### Example: Large Server (512GB RAM, 80GB database)\n\n```json\n{\n  \"main\": {\n    \"db-config\": {\n      \"cache-size-mb\": 16384,\n      \"soft-heap-limit-mb\": 131072,\n      \"max-open-connections\": 8,\n      \"max-idle-time-minutes\": 30\n    }\n  }\n}\n```\n\nThis allows the entire 80GB database to be cached (8 × 16GB = 128GB page cache)\nwith a 128GB soft heap limit, using about 25% of available RAM.\n\nThe effective configuration is logged at startup for verification.\n\n## Project file structure\n\n- [`.github/`](https://github.com/ClusterCockpit/cc-backend/tree/master/.github)\n  GitHub Actions workflows and dependabot configuration for CI/CD.\n- [`api/`](https://github.com/ClusterCockpit/cc-backend/tree/master/api)\n  contains the API schema files for the REST and GraphQL APIs. The REST API is\n  documented in the OpenAPI 3.0 format in\n  [./api/swagger.yaml](./api/swagger.yaml). The GraphQL schema is in\n  [./api/schema.graphqls](./api/schema.graphqls).\n- [`cmd/cc-backend`](https://github.com/ClusterCockpit/cc-backend/tree/master/cmd/cc-backend)\n  contains the main application entry point and CLI implementation.\n- [`configs/`](https://github.com/ClusterCockpit/cc-backend/tree/master/configs)\n  contains documentation about configuration and command line options and required\n  environment variables. Sample configuration files are provided.\n- [`init/`](https://github.com/ClusterCockpit/cc-backend/tree/master/init)\n  contains an example of setting up systemd for production use.\n- [`internal/`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal)\n  contains library source code that is not intended for use by others.\n  - [`api`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/api)\n    REST API handlers and NATS integration\n  - [`archiver`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/archiver)\n    Job archiving functionality\n  - [`auth`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/auth)\n    Authentication (local, LDAP, OIDC) and JWT token handling\n  - [`config`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/config)\n    Configuration management and validation\n  - [`graph`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/graph)\n    GraphQL schema and resolvers\n  - [`importer`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/importer)\n    Job data import and database initialization\n  - [`metricdispatch`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricdispatch)\n    Dispatches metric data loading to appropriate backends\n  - [`repository`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/repository)\n    Database repository layer for jobs and metadata\n  - [`routerConfig`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/routerConfig)\n    HTTP router configuration and middleware\n  - [`tagger`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/tagger)\n    Job classification and application detection\n  - [`taskmanager`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/taskmanager)\n    Background task management and scheduled jobs\n  - [`metricstoreclient`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricstoreclient)\n    Client for cc-metric-store queries\n- [`pkg/`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg)\n  contains Go packages that can be used by other projects.\n  - [`archive`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/archive)\n    Job archive backend implementations (filesystem, S3, SQLite)\n  - [`metricstore`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/metricstore)\n    In-memory metric data store with checkpointing and metric loading\n- [`tools/`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools)\n  Additional command line helper tools.\n  - [`archive-manager`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-manager)\n    Commands for getting infos about an existing job archive, importing jobs\n    between archive backends, and converting archives between JSON and Parquet formats.\n  - [`archive-migration`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-migration)\n    Tool for migrating job archives between formats.\n  - [`convert-pem-pubkey`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/convert-pem-pubkey)\n    Tool to convert external pubkey for use in `cc-backend`.\n  - [`gen-keypair`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/gen-keypair)\n    contains a small application to generate a compatible JWT keypair. You find\n    documentation on how to use it\n    [here](https://github.com/ClusterCockpit/cc-backend/blob/master/docs/JWT-Handling.md).\n- [`web/`](https://github.com/ClusterCockpit/cc-backend/tree/master/web)\n  Server-side templates and frontend-related files:\n  - [`frontend`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/frontend)\n    Svelte components and static assets for the frontend UI\n  - [`templates`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/templates)\n    Server-side Go templates, including monitoring views\n- [`gqlgen.yml`](https://github.com/ClusterCockpit/cc-backend/blob/master/gqlgen.yml)\n  Configures the behaviour and generation of\n  [gqlgen](https://github.com/99designs/gqlgen).\n- [`startDemo.sh`](https://github.com/ClusterCockpit/cc-backend/blob/master/startDemo.sh)\n  is a shell script that sets up demo data, and builds and starts `cc-backend`.\n","structuredPatch":[{"oldStart":148,"oldLines":7,"newStart":148,"newLines":8,"lines":["       \"soft-heap-limit-mb\": 16384,","       \"max-open-connections\": 4,","       \"max-idle-connections\": 4,","-      \"max-idle-time-minutes\": 10","+      \"max-idle-time-minutes\": 10,","+      \"busy-timeout-ms\": 60000","     }","   }"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"f5637273-bc1f-435e-988b-c23545b9baf5","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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When a write is blocked by another writer, SQLite retries internally with backoff for up to this duration before returning `SQLITE_BUSY`.          |","originalFile":"# NOTE\n\nWhile we do our best to keep the master branch in a usable state, there is no guarantee the master branch works.\nPlease do not use it for production!\n\nPlease have a look at the [Release\nNotes](https://github.com/ClusterCockpit/cc-backend/blob/master/ReleaseNotes.md)\nfor breaking changes!\n\n# ClusterCockpit REST and GraphQL API backend\n\n[![Build](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml/badge.svg)](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml)\n\nThis is a Golang backend implementation for a REST and GraphQL API according to\nthe [ClusterCockpit\nspecifications](https://github.com/ClusterCockpit/cc-specifications). It also\nincludes a web interface for ClusterCockpit. This implementation replaces the\nprevious PHP Symfony based ClusterCockpit web interface. The reasons for\nswitching from PHP Symfony to a Golang based solution are explained\n[here](https://github.com/ClusterCockpit/ClusterCockpit/wiki/Why-we-switched-from-PHP-Symfony-to-a-Golang-based-solution).\n\n## Overview\n\nThis is a Golang web backend for the ClusterCockpit job-specific performance\nmonitoring framework. It provides a REST API and an optional NATS-based messaging\nAPI for integrating ClusterCockpit with an HPC cluster batch system and external\nanalysis scripts. Data exchange between the web front-end and the back-end is\nbased on a GraphQL API. The web frontend is also served by the backend using\n[Svelte](https://svelte.dev/) components. Layout and styling are based on\n[Bootstrap 5](https://getbootstrap.com/) using\n[Bootstrap Icons](https://icons.getbootstrap.com/).\n\nThe backend uses [SQLite 3](https://sqlite.org/) as the relational SQL database.\nWhile there are metric data backends for the InfluxDB and Prometheus time series\ndatabases, the only tested and supported setup is to use cc-metric-store as the\nmetric data backend. Documentation on how to integrate ClusterCockpit with other\ntime series databases will be added in the future.\n\nFor real-time integration with HPC systems, the backend can subscribe to\n[NATS](https://nats.io/) subjects to receive job start/stop events and node\nstate updates, providing an alternative to REST API polling.\n\nCompleted batch jobs are stored in a file-based job archive according to\n[this specification](https://github.com/ClusterCockpit/cc-specifications/tree/master/job-archive).\nThe backend supports authentication via local accounts, an external LDAP\ndirectory, and JWT tokens. Authorization for APIs is implemented with\n[JWT](https://jwt.io/) tokens created with public/private key encryption.\n\nYou find a detailed documentation on the [ClusterCockpit\nWebpage](https://clustercockpit.org).\n\n## Build requirements\n\nClusterCockpit requires a current version of the golang toolchain and node.js.\nYou can check `go.mod` to see what is the current minimal golang version needed.\nHomebrew and Archlinux usually have current golang versions. For other Linux\ndistros this often means that you have to install the golang compiler yourself.\nFortunately, this is easy with golang. Since much of the functionality is based\non the Go standard library, it is crucial for security and performance to use a\ncurrent version of golang. In addition, an old golang toolchain may limit the supported\nversions of third-party packages.\n\n## How to try ClusterCockpit with a demo setup\n\nWe provide a shell script that downloads demo data and automatically starts the\ncc-backend. You will need `wget`, `go`, `node`, `npm` in your path to\nstart the demo. The demo downloads 32MB of data (223MB on disk).\n\n```sh\ngit clone https://github.com/ClusterCockpit/cc-backend.git\ncd ./cc-backend\n./startDemo.sh\n```\n\nYou can also try the demo using the latest release binary.\nCreate a folder and put the release binary `cc-backend` into this folder.\nExecute the following steps:\n\n```shell\n./cc-backend -init\nvim config.json (Add a second cluster entry and name the clusters alex and fritz)\nwget https://hpc-mover.rrze.uni-erlangen.de/HPC-Data/0x7b58aefb/eig7ahyo6fo2bais0ephuf2aitohv1ai/job-archive-demo.tar\ntar xf job-archive-demo.tar\n./cc-backend -init-db -add-user demo:admin:demo -loglevel info\n./cc-backend -server -dev -loglevel info\n```\n\nYou can access the web interface at [http://localhost:8080](http://localhost:8080).\nCredentials for login are `demo:demo`.\nPlease note that some views do not work without a metric backend (e.g., the\nAnalysis, Systems and Status views).\n\n## How to build and run\n\nThere is a Makefile to automate the build of cc-backend. The Makefile supports\nthe following targets:\n\n- `make`: Initialize `var` directory and build svelte frontend and backend\n  binary. Note that there is no proper prerequisite handling. Any change of\n  frontend source files will result in a complete rebuild.\n- `make clean`: Clean go build cache and remove binary.\n- `make test`: Run the tests that are also run in the GitHub workflow setup.\n\nA common workflow for setting up cc-backend from scratch is:\n\n```sh\ngit clone https://github.com/ClusterCockpit/cc-backend.git\n\n# Build binary\ncd ./cc-backend/\nmake\n\n# EDIT THE .env FILE BEFORE YOU DEPLOY (Change the secrets)!\n# If authentication is disabled, it can be empty.\ncp configs/env-template.txt  .env\nvim .env\n\ncp configs/config.json .\nvim config.json\n\n#Optional: Link an existing job archive:\nln -s <your-existing-job-archive> ./var/job-archive\n\n# This will first initialize the job.db database by traversing all\n# `meta.json` files in the job-archive and add a new user.\n./cc-backend -init-db -add-user <your-username>:admin:<your-password>\n\n# Start a HTTP server (HTTPS can be enabled in the configuration, the default port is 8080).\n# The --dev flag enables GraphQL Playground (http://localhost:8080/playground) and Swagger UI (http://localhost:8080/swagger).\n./cc-backend -server  -dev\n\n# Show other options:\n./cc-backend -help\n```\n\n## Database Configuration\n\ncc-backend uses SQLite as its database. For large installations, SQLite memory\nusage can be tuned via the optional `db-config` section in config.json under\n`main`:\n\n```json\n{\n  \"main\": {\n    \"db\": \"./var/job.db\",\n    \"db-config\": {\n      \"cache-size-mb\": 2048,\n      \"soft-heap-limit-mb\": 16384,\n      \"max-open-connections\": 4,\n      \"max-idle-connections\": 4,\n      \"max-idle-time-minutes\": 10,\n      \"busy-timeout-ms\": 60000\n    }\n  }\n}\n```\n\nAll fields are optional. If `db-config` is omitted entirely, built-in defaults\nare used.\n\n### Options\n\n| Option                  | Default | Description                                                                                                                                                                             |\n| ----------------------- | ------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| `cache-size-mb`         | 2048    | SQLite page cache size per connection in MB. Maps to `PRAGMA cache_size`. Total cache memory is up to `cache-size-mb × max-open-connections`.                                           |\n| `soft-heap-limit-mb`    | 16384   | Process-wide SQLite soft heap limit in MB. SQLite will try to release cache pages to stay under this limit. Queries won't fail if exceeded, but cache eviction becomes more aggressive. |\n| `max-open-connections`  | 4       | Maximum number of open database connections.                                                                                                                                            |\n| `max-idle-connections`  | 4       | Maximum number of idle database connections kept in the pool.                                                                                                                           |\n| `max-idle-time-minutes` | 10      | Maximum time in minutes a connection can sit idle before being closed.                                                                                                                  |\n\n### Sizing Guidelines\n\nSQLite's `cache_size` is a **per-connection** setting — each connection\nmaintains its own independent page cache. With multiple connections, the total\nmemory available for caching is the sum across all connections.\n\nIn practice, different connections tend to cache **different pages** (e.g., one\nhandles a job listing query while another runs a statistics aggregation), so\ntheir caches naturally spread across the database. The formula\n`DB_size / max-open-connections` gives enough per-connection cache that the\ncombined caches can cover the entire database.\n\nHowever, this is a best-case estimate. Connections running similar queries will\ncache the same pages redundantly. In the worst case (all connections caching\nidentical pages), only `cache-size-mb` worth of unique data is cached rather\nthan `cache-size-mb × max-open-connections`. For workloads with diverse\nconcurrent queries, cache overlap is typically low.\n\n**Rules of thumb:**\n\n- **cache-size-mb**: Set to `DB_size_in_MB / max-open-connections` to allow the\n  entire database to be cached in memory. For example, an 80GB database with 8\n  connections needs at least 10240 MB (10GB) per connection. If your workload\n  has many similar concurrent queries, consider setting it higher to account for\n  cache overlap between connections.\n\n- **soft-heap-limit-mb**: Should be >= `cache-size-mb × max-open-connections` to\n  avoid cache thrashing. This is the total SQLite memory budget for the process.\n- On small installations the defaults work well. On servers with large databases\n  (tens of GB) and plenty of RAM, increasing these values significantly improves\n  query performance by reducing disk I/O.\n\n### Example: Large Server (512GB RAM, 80GB database)\n\n```json\n{\n  \"main\": {\n    \"db-config\": {\n      \"cache-size-mb\": 16384,\n      \"soft-heap-limit-mb\": 131072,\n      \"max-open-connections\": 8,\n      \"max-idle-time-minutes\": 30\n    }\n  }\n}\n```\n\nThis allows the entire 80GB database to be cached (8 × 16GB = 128GB page cache)\nwith a 128GB soft heap limit, using about 25% of available RAM.\n\nThe effective configuration is logged at startup for verification.\n\n## Project file structure\n\n- [`.github/`](https://github.com/ClusterCockpit/cc-backend/tree/master/.github)\n  GitHub Actions workflows and dependabot configuration for CI/CD.\n- [`api/`](https://github.com/ClusterCockpit/cc-backend/tree/master/api)\n  contains the API schema files for the REST and GraphQL APIs. The REST API is\n  documented in the OpenAPI 3.0 format in\n  [./api/swagger.yaml](./api/swagger.yaml). The GraphQL schema is in\n  [./api/schema.graphqls](./api/schema.graphqls).\n- [`cmd/cc-backend`](https://github.com/ClusterCockpit/cc-backend/tree/master/cmd/cc-backend)\n  contains the main application entry point and CLI implementation.\n- [`configs/`](https://github.com/ClusterCockpit/cc-backend/tree/master/configs)\n  contains documentation about configuration and command line options and required\n  environment variables. Sample configuration files are provided.\n- [`init/`](https://github.com/ClusterCockpit/cc-backend/tree/master/init)\n  contains an example of setting up systemd for production use.\n- [`internal/`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal)\n  contains library source code that is not intended for use by others.\n  - [`api`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/api)\n    REST API handlers and NATS integration\n  - [`archiver`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/archiver)\n    Job archiving functionality\n  - [`auth`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/auth)\n    Authentication (local, LDAP, OIDC) and JWT token handling\n  - [`config`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/config)\n    Configuration management and validation\n  - [`graph`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/graph)\n    GraphQL schema and resolvers\n  - [`importer`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/importer)\n    Job data import and database initialization\n  - [`metricdispatch`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricdispatch)\n    Dispatches metric data loading to appropriate backends\n  - [`repository`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/repository)\n    Database repository layer for jobs and metadata\n  - [`routerConfig`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/routerConfig)\n    HTTP router configuration and middleware\n  - [`tagger`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/tagger)\n    Job classification and application detection\n  - [`taskmanager`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/taskmanager)\n    Background task management and scheduled jobs\n  - [`metricstoreclient`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricstoreclient)\n    Client for cc-metric-store queries\n- [`pkg/`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg)\n  contains Go packages that can be used by other projects.\n  - [`archive`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/archive)\n    Job archive backend implementations (filesystem, S3, SQLite)\n  - [`metricstore`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/metricstore)\n    In-memory metric data store with checkpointing and metric loading\n- [`tools/`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools)\n  Additional command line helper tools.\n  - [`archive-manager`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-manager)\n    Commands for getting infos about an existing job archive, importing jobs\n    between archive backends, and converting archives between JSON and Parquet formats.\n  - [`archive-migration`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-migration)\n    Tool for migrating job archives between formats.\n  - [`convert-pem-pubkey`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/convert-pem-pubkey)\n    Tool to convert external pubkey for use in `cc-backend`.\n  - [`gen-keypair`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/gen-keypair)\n    contains a small application to generate a compatible JWT keypair. You find\n    documentation on how to use it\n    [here](https://github.com/ClusterCockpit/cc-backend/blob/master/docs/JWT-Handling.md).\n- [`web/`](https://github.com/ClusterCockpit/cc-backend/tree/master/web)\n  Server-side templates and frontend-related files:\n  - [`frontend`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/frontend)\n    Svelte components and static assets for the frontend UI\n  - [`templates`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/templates)\n    Server-side Go templates, including monitoring views\n- [`gqlgen.yml`](https://github.com/ClusterCockpit/cc-backend/blob/master/gqlgen.yml)\n  Configures the behaviour and generation of\n  [gqlgen](https://github.com/99designs/gqlgen).\n- [`startDemo.sh`](https://github.com/ClusterCockpit/cc-backend/blob/master/startDemo.sh)\n  is a shell script that sets up demo data, and builds and starts `cc-backend`.\n","structuredPatch":[{"oldStart":167,"oldLines":6,"newStart":167,"newLines":7,"lines":[" | `max-open-connections`  | 4       | Maximum number of open database connections.                                                                                                                                            |"," | `max-idle-connections`  | 4       | Maximum number of idle database connections kept in the pool.                                                                                                                           |"," | `max-idle-time-minutes` | 10      | Maximum time in minutes a connection can sit idle before being closed.                                                                                                                  |","+| `busy-timeout-ms`       | 60000   | SQLite busy timeout in milliseconds. 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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package config implements the program configuration data structures, validation and parsing\npackage config\n\nimport (\n\t\"bytes\"\n\t\"encoding/json\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n)\n\ntype ProgramConfig struct {\n\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n\tAddr string `json:\"addr\"`\n\n\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n\n\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n\n\t// Drop root permissions once .env was read and the port was taken.\n\tUser  string `json:\"user\"`\n\tGroup string `json:\"group\"`\n\n\t// Disable authentication (for everything: API, Web-UI, ...)\n\tDisableAuthentication bool `json:\"disable-authentication\"`\n\n\t// If `embed-static-files` is true (default), the frontend files are directly\n\t// embeded into the go binary and expected to be in web/frontend. Only if\n\t// it is false the files in `static-files` are served instead.\n\tEmbedStaticFiles bool   `json:\"embed-static-files\"`\n\tStaticFiles      string `json:\"static-files\"`\n\n\t// Path to SQLite database file\n\tDB string `json:\"db\"`\n\n\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n\n\t// Validate json input against schema\n\tValidate bool `json:\"validate\"`\n\n\t// If 0 or empty, the session does not expire!\n\tSessionMaxAge string `json:\"session-max-age\"`\n\n\t// If both those options are not empty, use HTTPS using those certificates.\n\tHTTPSCertFile string `json:\"https-cert-file\"`\n\tHTTPSKeyFile  string `json:\"https-key-file\"`\n\n\t// If not the empty string and `addr` does not end in \":80\",\n\t// redirect every request incoming at port 80 to that url.\n\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n\n\t// Where to store MachineState files\n\tMachineStateDir string `json:\"machine-state-dir\"`\n\n\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n\n\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n\n\t// Energy Mix CO2 Emission Constant [g/kWh]\n\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n\tEmissionConstant int `json:\"emission-constant\"`\n\n\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n\tEnableResampling *ResampleConfig `json:\"resampling\"`\n\n\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n\tSystemdUnit string `json:\"systemd-unit\"`\n\n\t// Node state retention configuration\n\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n\n\t// Database tuning configuration\n\tDbConfig *DbConfig `json:\"db-config\"`\n}\n\ntype DbConfig struct {\n\tCacheSizeMB               int `json:\"cache-size-mb\"`\n\tSoftHeapLimitMB           int `json:\"soft-heap-limit-mb\"`\n\tMaxOpenConnections        int `json:\"max-open-connections\"`\n\tMaxIdleConnections        int `json:\"max-idle-connections\"`\n\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n}\n\ntype NodeStateRetention struct {\n\tPolicy             string `json:\"policy\"`      // \"delete\" or \"move\"\n\tAge                int    `json:\"age\"`         // hours, default 24\n\tTargetKind         string `json:\"target-kind\"` // \"file\" or \"s3\"\n\tTargetPath         string `json:\"target-path\"`\n\tTargetEndpoint     string `json:\"target-endpoint\"`\n\tTargetBucket       string `json:\"target-bucket\"`\n\tTargetAccessKey    string `json:\"target-access-key\"`\n\tTargetSecretKey    string `json:\"target-secret-key\"`\n\tTargetRegion       string `json:\"target-region\"`\n\tTargetUsePathStyle bool   `json:\"target-use-path-style\"`\n\tMaxFileSizeMB      int    `json:\"max-file-size-mb\"`\n}\n\ntype ResampleConfig struct {\n\t// Minimum number of points to trigger resampling of data\n\tMinimumPoints int `json:\"minimum-points\"`\n\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n\tResolutions []int `json:\"resolutions\"`\n\t// Trigger next zoom level at less than this many visible datapoints\n\tTrigger int `json:\"trigger\"`\n}\n\ntype NATSConfig struct {\n\tSubjectJobEvent  string `json:\"subject-job-event\"`\n\tSubjectNodeState string `json:\"subject-node-state\"`\n}\n\ntype IntRange struct {\n\tFrom int `json:\"from\"`\n\tTo   int `json:\"to\"`\n}\n\ntype TimeRange struct {\n\tFrom  *time.Time `json:\"from\"`\n\tTo    *time.Time `json:\"to\"`\n\tRange string     `json:\"range,omitempty\"`\n}\n\ntype FilterRanges struct {\n\tDuration  *IntRange  `json:\"duration\"`\n\tNumNodes  *IntRange  `json:\"num-nodes\"`\n\tStartTime *TimeRange `json:\"start-time\"`\n}\n\nvar Keys ProgramConfig = ProgramConfig{\n\tAddr:                      \"localhost:8080\",\n\tEmbedStaticFiles:          true,\n\tDB:                        \"./var/job.db\",\n\tSessionMaxAge:             \"168h\",\n\tStopJobsExceedingWalltime: 0,\n\tShortRunningJobsDuration:  5 * 60,\n}\n\nfunc Init(mainConfig json.RawMessage) {\n\tValidate(configSchema, mainConfig)\n\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&Keys); err != nil {\n\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n\t}\n\n\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n\t}\n}\n","structuredPatch":[{"oldStart":88,"oldLines":6,"newStart":88,"newLines":7,"lines":["   MaxOpenConnections        int `json:\"max-open-connections\"`","   MaxIdleConnections        int `json:\"max-idle-connections\"`","   ConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`","+  BusyTimeoutMs             int `json:\"busy-timeout-ms\"`"," }"," "," type NodeStateRetention struct {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"fa3d9149-dc5b-4815-bfed-c1b24d44d971","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package main provides the entry point for the ClusterCockpit backend server.\n// It orchestrates initialization of all subsystems including configuration,\n// database, authentication, and the HTTP server.\npackage main\n\nimport (\n\t\"context\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"os/signal\"\n\t\"runtime/debug\"\n\t\"strings\"\n\t\"sync\"\n\t\"syscall\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/taskmanager\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\t\"github.com/ClusterCockpit/cc-backend/web\"\n\tccconf \"github.com/ClusterCockpit/cc-lib/v2/ccConfig\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t\"github.com/google/gops/agent\"\n\t\"github.com/joho/godotenv\"\n\n\t_ \"github.com/mattn/go-sqlite3\"\n)\n\nconst logoString = `\n _____ _           _             ____           _          _ _\n/  ___| |_   _ ___| |_ ___ _ __ / ___|___   ___| | ___ __ (_) |_\n| |   | | | | / __| __/ _ \\ '__| |   / _ \\ / __| |/ / '_ \\| | __|\n| |___| | |_| \\__ \\ ||  __/ |  | |__| (_) | (__|   <| |_) | | |_\n\\_____|_|\\__,_|___/\\__\\___|_|   \\____\\___/ \\___|_|\\_\\ .__/|_|\\__|\n                                                    |_|\n`\n\n// Environment variable names\nconst (\n\tenvGOGC = \"GOGC\"\n)\n\n// Default configurations\nconst (\n\tdefaultArchiveConfig = `{\"kind\":\"file\",\"path\":\"./var/job-archive\"}`\n)\n\nvar (\n\tdate    string\n\tcommit  string\n\tversion string\n)\n\nfunc printVersion() {\n\tfmt.Print(logoString)\n\tfmt.Printf(\"Version:\\t%s\\n\", version)\n\tfmt.Printf(\"Git hash:\\t%s\\n\", commit)\n\tfmt.Printf(\"Build time:\\t%s\\n\", date)\n\tfmt.Printf(\"SQL db version:\\t%d\\n\", repository.Version)\n\tfmt.Printf(\"Job archive version:\\t%d\\n\", archive.Version)\n}\n\nfunc initGops() error {\n\tif !flagGops {\n\t\treturn nil\n\t}\n\n\tif err := agent.Listen(agent.Options{}); err != nil {\n\t\treturn fmt.Errorf(\"starting gops agent: %w\", err)\n\t}\n\treturn nil\n}\n\nfunc loadEnvironment() error {\n\tif err := godotenv.Load(); err != nil {\n\t\treturn fmt.Errorf(\"loading .env file: %w\", err)\n\t}\n\treturn nil\n}\n\nfunc initConfiguration() error {\n\tccconf.Init(flagConfigFile)\n\n\tcfg := ccconf.GetPackageConfig(\"main\")\n\tif cfg == nil {\n\t\treturn fmt.Errorf(\"main configuration must be present\")\n\t}\n\n\tconfig.Init(cfg)\n\treturn nil\n}\n\nfunc initDatabase() error {\n\tif config.Keys.DbConfig != nil {\n\t\tcfg := repository.DefaultConfig()\n\t\tdc := config.Keys.DbConfig\n\t\tif dc.CacheSizeMB > 0 {\n\t\t\tcfg.DbCacheSizeMB = dc.CacheSizeMB\n\t\t}\n\t\tif dc.SoftHeapLimitMB > 0 {\n\t\t\tcfg.DbSoftHeapLimitMB = dc.SoftHeapLimitMB\n\t\t}\n\t\tif dc.MaxOpenConnections > 0 {\n\t\t\tcfg.MaxOpenConnections = dc.MaxOpenConnections\n\t\t}\n\t\tif dc.MaxIdleConnections > 0 {\n\t\t\tcfg.MaxIdleConnections = dc.MaxIdleConnections\n\t\t}\n\t\tif dc.ConnectionMaxIdleTimeMins > 0 {\n\t\t\tcfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute\n\t\t}\n\t\trepository.SetConfig(cfg)\n\t}\n\trepository.Connect(config.Keys.DB)\n\treturn nil\n}\n\nfunc handleDatabaseCommands() error {\n\tif flagMigrateDB {\n\t\terr := repository.MigrateDB(config.Keys.DB)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"migrating database to version %d: %w\", repository.Version, err)\n\t\t}\n\t\tcclog.Exitf(\"MigrateDB Success: Migrated SQLite database at '%s' to version %d.\\n\",\n\t\t\tconfig.Keys.DB, repository.Version)\n\t}\n\n\tif flagRevertDB {\n\t\terr := repository.RevertDB(config.Keys.DB)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"reverting database to version %d: %w\", repository.Version-1, err)\n\t\t}\n\t\tcclog.Exitf(\"RevertDB Success: Reverted SQLite database at '%s' to version %d.\\n\",\n\t\t\tconfig.Keys.DB, repository.Version-1)\n\t}\n\n\tif flagForceDB {\n\t\terr := repository.ForceDB(config.Keys.DB)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"forcing database to version %d: %w\", repository.Version, err)\n\t\t}\n\t\tcclog.Exitf(\"ForceDB Success: Forced SQLite database at '%s' to version %d.\\n\",\n\t\t\tconfig.Keys.DB, repository.Version)\n\t}\n\n\treturn nil\n}\n\nfunc handleUserCommands() error {\n\tif config.Keys.DisableAuthentication && (flagNewUser != \"\" || flagDelUser != \"\") {\n\t\treturn fmt.Errorf(\"--add-user and --del-user can only be used if authentication is enabled\")\n\t}\n\n\tif !config.Keys.DisableAuthentication {\n\t\tif cfg := ccconf.GetPackageConfig(\"auth\"); cfg != nil {\n\t\t\tauth.Init(&cfg)\n\t\t} else {\n\t\t\tcclog.Warn(\"Authentication disabled due to missing configuration\")\n\t\t\tauth.Init(nil)\n\t\t}\n\n\t\t// Check for default security keys\n\t\tcheckDefaultSecurityKeys()\n\n\t\tif flagNewUser != \"\" {\n\t\t\tif err := addUser(flagNewUser); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\n\t\tif flagDelUser != \"\" {\n\t\t\tif err := delUser(flagDelUser); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\n\t\tauthHandle := auth.GetAuthInstance()\n\n\t\tif flagSyncLDAP {\n\t\t\tif err := syncLDAP(authHandle); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\n\t\tif flagGenJWT != \"\" {\n\t\t\tif err := generateJWT(authHandle, flagGenJWT); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// checkDefaultSecurityKeys warns if default JWT keys are detected\nfunc checkDefaultSecurityKeys() {\n\t// Default JWT public key from init.go\n\tdefaultJWTPublic := \"REDACTED\"\n\n\tif os.Getenv(\"JWT_PUBLIC_KEY\") == defaultJWTPublic {\n\t\tcclog.Warn(\"Using default JWT keys - not recommended for production environments\")\n\t}\n}\n\nfunc addUser(userSpec string) error {\n\tparts := strings.SplitN(userSpec, \":\", 3)\n\tif len(parts) != 3 || len(parts[0]) == 0 {\n\t\treturn fmt.Errorf(\"invalid user format, want: <username>:[admin,support,manager,api,user]:<password>, have: %s\", userSpec)\n\t}\n\n\tur := repository.GetUserRepository()\n\tif err := ur.AddUser(&schema.User{\n\t\tUsername: parts[0],\n\t\tProjects: make([]string, 0),\n\t\tPassword: parts[2],\n\t\tRoles:    strings.Split(parts[1], \",\"),\n\t}); err != nil {\n\t\treturn fmt.Errorf(\"adding user '%s' with roles '%s': %w\", parts[0], parts[1], err)\n\t}\n\n\tcclog.Infof(\"Add User: Added new user '%s' with roles '%s'\", parts[0], parts[1])\n\treturn nil\n}\n\nfunc delUser(username string) error {\n\tur := repository.GetUserRepository()\n\tif err := ur.DelUser(username); err != nil {\n\t\treturn fmt.Errorf(\"deleting user '%s': %w\", username, err)\n\t}\n\tcclog.Infof(\"Delete User: Deleted user '%s' from DB\", username)\n\treturn nil\n}\n\nfunc syncLDAP(authHandle *auth.Authentication) error {\n\tif authHandle.LdapAuth == nil {\n\t\treturn fmt.Errorf(\"LDAP authentication is not configured\")\n\t}\n\n\tif err := authHandle.LdapAuth.Sync(); err != nil {\n\t\treturn fmt.Errorf(\"synchronizing LDAP: %w\", err)\n\t}\n\n\tcclog.Print(\"Sync LDAP: LDAP synchronization successfull.\")\n\treturn nil\n}\n\nfunc generateJWT(authHandle *auth.Authentication, username string) error {\n\tur := repository.GetUserRepository()\n\tuser, err := ur.GetUser(username)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"getting user '%s': %w\", username, err)\n\t}\n\n\tif !user.HasRole(schema.RoleAPI) {\n\t\tcclog.Warnf(\"JWT: User '%s' does not have the role 'api'. REST API endpoints will return error!\\n\", user.Username)\n\t}\n\n\tjwt, err := authHandle.JwtAuth.ProvideJWT(user)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"generating JWT for user '%s': %w\", user.Username, err)\n\t}\n\n\tcclog.Printf(\"JWT: Successfully generated JWT for user '%s': %s\\n\", user.Username, jwt)\n\treturn nil\n}\n\nfunc initSubsystems() error {\n\t// Initialize nats client\n\tnatsConfig := ccconf.GetPackageConfig(\"nats\")\n\tif err := nats.Init(natsConfig); err != nil {\n\t\tcclog.Warnf(\"initializing (optional) nats client: %s\", err.Error())\n\t}\n\tnats.Connect()\n\n\t// Initialize job archive\n\tarchiveCfg := ccconf.GetPackageConfig(\"archive\")\n\tif archiveCfg == nil {\n\t\tcclog.Debug(\"Archive configuration not found, using default archive configuration\")\n\t\tarchiveCfg = json.RawMessage(defaultArchiveConfig)\n\t}\n\tif err := archive.Init(archiveCfg); err != nil {\n\t\treturn fmt.Errorf(\"initializing archive: %w\", err)\n\t}\n\n\t// Handle database re-initialization\n\tif flagReinitDB {\n\t\tif err := importer.InitDB(); err != nil {\n\t\t\treturn fmt.Errorf(\"re-initializing repository DB: %w\", err)\n\t\t}\n\t\tcclog.Print(\"Init DB: Successfully re-initialized repository DB.\")\n\t}\n\n\t// Handle job import\n\tif flagImportJob != \"\" {\n\t\tif err := importer.HandleImportFlag(flagImportJob); err != nil {\n\t\t\treturn fmt.Errorf(\"importing job: %w\", err)\n\t\t}\n\t\tcclog.Infof(\"Import Job: Imported Job '%s' into DB\", flagImportJob)\n\t}\n\n\t// Initialize taggers\n\tif config.Keys.EnableJobTaggers {\n\t\ttagger.Init()\n\t}\n\n\t// Apply tags if requested\n\tif flagApplyTags {\n\t\ttagger.Init()\n\n\t\tif err := tagger.RunTaggers(); err != nil {\n\t\t\treturn fmt.Errorf(\"running job taggers: %w\", err)\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc runServer(ctx context.Context) error {\n\tvar wg sync.WaitGroup\n\n\t// Initialize metric store if configuration is provided\n\thaveMetricstore := false\n\tmscfg := ccconf.GetPackageConfig(\"metric-store\")\n\tif mscfg != nil {\n\t\tmetrics := metricstore.BuildMetricList()\n\t\tmetricstore.Init(mscfg, metrics, &wg)\n\n\t\t// Inject repository as NodeProvider to break import cycle\n\t\tms := metricstore.GetMemoryStore()\n\t\tjobRepo := repository.GetJobRepository()\n\t\tms.SetNodeProvider(jobRepo)\n\t\tmetricstore.MetricStoreHandle = &metricstore.InternalMetricStore{}\n\t\thaveMetricstore = true\n\t} else {\n\t\tmetricstore.MetricStoreHandle = nil\n\t\tcclog.Debug(\"missing internal metricstore configuration\")\n\t}\n\n\t// Initialize external metric stores if configuration is provided\n\tmscfg = ccconf.GetPackageConfig(\"metric-store-external\")\n\tif mscfg != nil {\n\t\terr := metricdispatch.Init(mscfg)\n\n\t\tif err != nil {\n\t\t\tcclog.Debugf(\"error while initializing external metricdispatch: %v\", err)\n\t\t} else {\n\t\t\thaveMetricstore = true\n\t\t}\n\t}\n\n\tif !haveMetricstore {\n\t\treturn fmt.Errorf(\"missing metricstore configuration\")\n\t}\n\n\t// Start archiver and task manager\n\tarchiver.Start(repository.GetJobRepository(), ctx)\n\ttaskmanager.Start(ccconf.GetPackageConfig(\"cron\"), ccconf.GetPackageConfig(\"archive\"))\n\n\t// Initialize web UI\n\tcfg := ccconf.GetPackageConfig(\"ui\")\n\tif err := web.Init(cfg); err != nil {\n\t\treturn fmt.Errorf(\"initializing web UI: %w\", err)\n\t}\n\n\t// Initialize HTTP server\n\tsrv, err := NewServer(version, commit, date)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"creating server: %w\", err)\n\t}\n\n\t// Channel to collect errors from server\n\terrChan := make(chan error, 1)\n\n\t// Start HTTP server\n\twg.Go(func() {\n\t\tif err := srv.Start(ctx); err != nil {\n\t\t\terrChan <- err\n\t\t}\n\t})\n\n\t// Handle shutdown signals\n\twg.Add(1)\n\tsigs := make(chan os.Signal, 1)\n\tsignal.Notify(sigs, syscall.SIGINT, syscall.SIGTERM)\n\tgo func() {\n\t\tdefer wg.Done()\n\t\tselect {\n\t\tcase <-sigs:\n\t\t\tcclog.Info(\"Shutdown signal received\")\n\t\tcase <-ctx.Done():\n\t\t}\n\n\t\truntime.SystemdNotify(false, \"Shutting down ...\")\n\t\tsrv.Shutdown(ctx)\n\t\tutil.FsWatcherShutdown()\n\t\ttaskmanager.Shutdown()\n\t}()\n\n\t// Set GC percent if not configured\n\tif os.Getenv(envGOGC) == \"\" {\n\t\t// trigger GC when heap grows 15% above the previous live set\n\t\tdebug.SetGCPercent(15)\n\t}\n\truntime.SystemdNotify(true, \"running\")\n\n\twaitDone := make(chan struct{})\n\tgo func() {\n\t\twg.Wait()\n\t\tclose(waitDone)\n\t}()\n\n\tgo func() {\n\t\t<-waitDone\n\t\tclose(errChan)\n\t}()\n\n\t// Wait for either:\n\t// 1. An error from server startup\n\t// 2. Completion of all goroutines (normal shutdown or crash)\n\tselect {\n\tcase err := <-errChan:\n\t\t// errChan will be closed when waitDone is closed, which happens\n\t\t// when all goroutines complete (either from normal shutdown or error)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\tcase <-time.After(100 * time.Millisecond):\n\t\t// Give the server 100ms to start and report any immediate startup errors\n\t\t// After that, just wait for normal shutdown completion\n\t\tselect {\n\t\tcase err := <-errChan:\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\tcase <-waitDone:\n\t\t\t// Normal shutdown completed\n\t\t}\n\t}\n\n\tcclog.Print(\"Graceful shutdown completed!\")\n\treturn nil\n}\n\nfunc run() error {\n\tcliInit()\n\n\tif flagVersion {\n\t\tprintVersion()\n\t\treturn nil\n\t}\n\n\t// Initialize logger\n\tcclog.Init(flagLogLevel, flagLogDateTime)\n\n\t// Handle init flag\n\tif flagInit {\n\t\tinitEnv()\n\t\tcclog.Exit(\"Successfully setup environment!\\n\" +\n\t\t\t\"Please review config.json and .env and adjust it to your needs.\\n\" +\n\t\t\t\"Add your job-archive at ./var/job-archive.\")\n\t}\n\n\t// Initialize gops agent\n\tif err := initGops(); err != nil {\n\t\treturn err\n\t}\n\n\t// Initialize subsystems in dependency order:\n\t// 1. 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diff --git a/3a/40b75edd68/1/metadata.json b/3a/40b75edd68/1/metadata.json
new file mode 100644
index 00000000..999482c7
--- /dev/null
+++ b/3a/40b75edd68/1/metadata.json
@@ -0,0 +1,33 @@
+{
+  "cli_version": "0.5.0",
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+  "created_at": "2026-03-16T11:13:15.515728Z",
+  "branch": "hotfix",
+  "checkpoints_count": 1,
+  "files_touched": [
+    "internal/api/nats.go"
+  ],
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+  "session_metrics": {
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+}
diff --git a/3a/40b75edd68/1/prompt.txt b/3a/40b75edd68/1/prompt.txt
new file mode 100644
index 00000000..05b200b9
--- /dev/null
+++ b/3a/40b75edd68/1/prompt.txt
@@ -0,0 +1,5 @@
+Are there other opportunities to reduce the insert pressure on the db using transactions or other techniques?
+
+---
+
+Update the Database config section in the README to reflect the new setting
\ No newline at end of file
diff --git a/3a/40b75edd68/2/content_hash.txt b/3a/40b75edd68/2/content_hash.txt
new file mode 100644
index 00000000..9c8c6130
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+sha256:607f2ebe8d533dcb5000608042d76c03725f7a3b8586325d1b5fe65cedf375ff
\ No newline at end of file
diff --git a/3a/40b75edd68/2/full.jsonl b/3a/40b75edd68/2/full.jsonl
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+{"parentUuid":"20fc6571-7e56-47b4-95d6-1d554744a4be","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Ufjz7JYLpC1gDqKn71ykPC","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"database/sql\"\n    10→\t\"encoding/json\"\n    11→\t\"strings\"\n    12→\t\"sync\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n    21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n    23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    24→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n    25→)\n    26→\n    27→// natsMessage wraps a raw NATS message with its subject for channel-based processing.\n    28→type natsMessage struct {\n    29→\tsubject string\n    30→\tdata    []byte\n    31→}\n    32→\n    33→// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n    34→// It mirrors the functionality of the REST API but uses NATS messaging with\n    35→// InfluxDB line protocol as the message format.\n    36→//\n    37→// # Message Format\n    38→//\n    39→// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n    40→// with the following structure:\n    41→//\n    42→//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n    43→//\n    44→// # Job Events\n    45→//\n    46→// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n    47→//\n    48→//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n    49→//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n    50→//\n    51→// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n    52→//\n    53→// Example job start message:\n    54→//\n    55→//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n    56→//\n    57→// # Node State Events\n    58→//\n    59→// Node state updates use the \"nodestate\" measurement with cluster information:\n    60→//\n    61→//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n    62→//\n    63→// The JSON payload follows the UpdateNodeStatesRequest structure.\n    64→//\n    65→// Example node state message:\n    66→//\n    67→//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\n    68→type NatsAPI struct {\n    69→\tJobRepository *repository.JobRepository\n    70→\t// RepositoryMutex protects job creation operations from race conditions\n    71→\t// when checking for duplicate jobs during startJob calls.\n    72→\tRepositoryMutex sync.Mutex\n    73→\t// jobCh receives job event messages for processing by worker goroutines.\n    74→\tjobCh chan natsMessage\n    75→\t// nodeCh receives node state messages for processing by worker goroutines.\n    76→\tnodeCh chan natsMessage\n    77→}\n    78→\n    79→// NewNatsAPI creates a new NatsAPI instance with channel-based worker pools.\n    80→// Concurrency is configured via NATSConfig (defaults: JobConcurrency=8, NodeConcurrency=2).\n    81→func NewNatsAPI() *NatsAPI {\n    82→\tjobConc := 8\n    83→\tnodeConc := 2\n    84→\n    85→\tif s := config.Keys.APISubjects; s != nil {\n    86→\t\tif s.JobConcurrency > 0 {\n    87→\t\t\tjobConc = s.JobConcurrency\n    88→\t\t}\n    89→\t\tif s.NodeConcurrency > 0 {\n    90→\t\t\tnodeConc = s.NodeConcurrency\n    91→\t\t}\n    92→\t}\n    93→\n    94→\tapi := &NatsAPI{\n    95→\t\tJobRepository: repository.GetJobRepository(),\n    96→\t\tjobCh:         make(chan natsMessage, jobConc),\n    97→\t\tnodeCh:        make(chan natsMessage, nodeConc),\n    98→\t}\n    99→\n   100→\t// Start worker goroutines\n   101→\tfor range jobConc {\n   102→\t\tgo api.jobWorker()\n   103→\t}\n   104→\tfor range nodeConc {\n   105→\t\tgo api.nodeWorker()\n   106→\t}\n   107→\n   108→\treturn api\n   109→}\n   110→\n   111→// jobWorker processes job event messages from the job channel.\n   112→func (api *NatsAPI) jobWorker() {\n   113→\tfor msg := range api.jobCh {\n   114→\t\tapi.handleJobEvent(msg.subject, msg.data)\n   115→\t}\n   116→}\n   117→\n   118→// nodeWorker processes node state messages from the node channel.\n   119→func (api *NatsAPI) nodeWorker() {\n   120→\tfor msg := range api.nodeCh {\n   121→\t\tapi.handleNodeState(msg.subject, msg.data)\n   122→\t}\n   123→}\n   124→\n   125→// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n   126→// Messages are delivered to buffered channels and processed by worker goroutines.\n   127→// Returns an error if the NATS client is not available or subscription fails.\n   128→func (api *NatsAPI) StartSubscriptions() error {\n   129→\tclient := nats.GetClient()\n   130→\tif client == nil {\n   131→\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n   132→\t\treturn nil\n   133→\t}\n   134→\n   135→\tif config.Keys.APISubjects != nil {\n   136→\t\ts := config.Keys.APISubjects\n   137→\n   138→\t\tif err := client.Subscribe(s.SubjectJobEvent, func(subject string, data []byte) {\n   139→\t\t\tapi.jobCh <- natsMessage{subject: subject, data: data}\n   140→\t\t}); err != nil {\n   141→\t\t\treturn err\n   142→\t\t}\n   143→\n   144→\t\tif err := client.Subscribe(s.SubjectNodeState, func(subject string, data []byte) {\n   145→\t\t\tapi.nodeCh <- natsMessage{subject: subject, data: data}\n   146→\t\t}); err != nil {\n   147→\t\t\treturn err\n   148→\t\t}\n   149→\n   150→\t\tcclog.Info(\"NATS API subscriptions started\")\n   151→\t}\n   152→\treturn nil\n   153→}\n   154→\n   155→// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n   156→// Validates that required tags and fields are present before processing.\n   157→func (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n   158→\tfunction, ok := msg.GetTag(\"function\")\n   159→\tif !ok {\n   160→\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n   161→\t\treturn\n   162→\t}\n   163→\n   164→\tswitch function {\n   165→\tcase \"start_job\":\n   166→\t\tv, ok := msg.GetEventValue()\n   167→\t\tif !ok {\n   168→\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n   169→\t\t\treturn\n   170→\t\t}\n   171→\t\tapi.handleStartJob(v)\n   172→\n   173→\tcase \"stop_job\":\n   174→\t\tv, ok := msg.GetEventValue()\n   175→\t\tif !ok {\n   176→\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n   177→\t\t\treturn\n   178→\t\t}\n   179→\t\tapi.handleStopJob(v)\n   180→\n   181→\tdefault:\n   182→\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n   183→\t}\n   184→}\n   185→\n   186→// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n   187→// The message must be in line protocol format with measurement=\"job\" and include:\n   188→//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n   189→//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n   190→//\n   191→// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\n   192→func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n   193→\tif len(data) == 0 {\n   194→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n   195→\t\treturn\n   196→\t}\n   197→\n   198→\td := influx.NewDecoderWithBytes(data)\n   199→\n   200→\tfor d.Next() {\n   201→\t\tm, err := receivers.DecodeInfluxMessage(d)\n   202→\t\tif err != nil {\n   203→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n   204→\t\t\treturn\n   205→\t\t}\n   206→\n   207→\t\tif !m.IsEvent() {\n   208→\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n   209→\t\t\tcontinue\n   210→\t\t}\n   211→\n   212→\t\tif m.Name() == \"job\" {\n   213→\t\t\tapi.processJobEvent(m)\n   214→\t\t} else {\n   215→\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n   216→\t\t}\n   217→\t}\n   218→}\n   219→\n   220→// handleStartJob processes job start messages received via NATS.\n   221→// The payload parameter contains JSON following the schema.Job structure.\n   222→// Jobs are validated, checked for duplicates, and inserted into the database.\n   223→func (api *NatsAPI) handleStartJob(payload string) {\n   224→\tif payload == \"\" {\n   225→\t\tcclog.Error(\"NATS start job: payload is empty\")\n   226→\t\treturn\n   227→\t}\n   228→\treq := schema.Job{\n   229→\t\tShared:           \"none\",\n   230→\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n   231→\t}\n   232→\n   233→\tdec := json.NewDecoder(strings.NewReader(payload))\n   234→\tdec.DisallowUnknownFields()\n   235→\tif err := dec.Decode(&req); err != nil {\n   236→\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n   237→\t\treturn\n   238→\t}\n   239→\n   240→\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n   241→\treq.State = schema.JobStateRunning\n   242→\n   243→\tif err := importer.SanityChecks(&req); err != nil {\n   244→\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n   245→\t\treturn\n   246→\t}\n   247→\n   248→\tvar unlockOnce sync.Once\n   249→\tapi.RepositoryMutex.Lock()\n   250→\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n   251→\n   252→\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n   253→\tif err != nil && err != sql.ErrNoRows {\n   254→\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n   255→\t\treturn\n   256→\t}\n   257→\tif err == nil {\n   258→\t\tfor _, job := range jobs {\n   259→\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n   260→\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n   261→\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n   262→\t\t\t\treturn\n   263→\t\t\t}\n   264→\t\t}\n   265→\t}\n   266→\n   267→\t// When tags are present, insert directly into the job table so that the\n   268→\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n   269→\tvar id int64\n   270→\tif len(req.Tags) > 0 {\n   271→\t\tid, err = api.JobRepository.StartDirect(&req)\n   272→\t} else {\n   273→\t\tid, err = api.JobRepository.Start(&req)\n   274→\t}\n   275→\tif err != nil {\n   276→\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n   277→\t\treturn\n   278→\t}\n   279→\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n   280→\n   281→\tfor _, tag := range req.Tags {\n   282→\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n   283→\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n   284→\t\t\treturn\n   285→\t\t}\n   286→\t}\n   287→\n   288→\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n   289→\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n   290→}\n   291→\n   292→// handleStopJob processes job stop messages received via NATS.\n   293→// The payload parameter contains JSON following the StopJobAPIRequest structure.\n   294→// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\n   295→func (api *NatsAPI) handleStopJob(payload string) {\n   296→\tif payload == \"\" {\n   297→\t\tcclog.Error(\"NATS stop job: payload is empty\")\n   298→\t\treturn\n   299→\t}\n   300→\tvar req StopJobAPIRequest\n   301→\n   302→\tdec := json.NewDecoder(strings.NewReader(payload))\n   303→\tdec.DisallowUnknownFields()\n   304→\tif err := dec.Decode(&req); err != nil {\n   305→\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n   306→\t\treturn\n   307→\t}\n   308→\n   309→\tif req.JobID == nil {\n   310→\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n   311→\t\treturn\n   312→\t}\n   313→\n   314→\tisCached := false\n   315→\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n   316→\tif err != nil {\n   317→\t\t// Not in cache, try main job table\n   318→\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n   319→\t\tif err != nil {\n   320→\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n   321→\t\t\treturn\n   322→\t\t}\n   323→\t} else {\n   324→\t\tisCached = true\n   325→\t}\n   326→\n   327→\tif job.State != schema.JobStateRunning {\n   328→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n   329→\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n   330→\t\treturn\n   331→\t}\n   332→\n   333→\tif job.StartTime > req.StopTime {\n   334→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n   335→\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n   336→\t\treturn\n   337→\t}\n   338→\n   339→\tif req.State != \"\" && !req.State.Valid() {\n   340→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n   341→\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n   342→\t\treturn\n   343→\t} else if req.State == \"\" {\n   344→\t\treq.State = schema.JobStateCompleted\n   345→\t}\n   346→\n   347→\tjob.Duration = int32(req.StopTime - job.StartTime)\n   348→\tjob.State = req.State\n   349→\tapi.JobRepository.Mutex.Lock()\n   350→\tdefer api.JobRepository.Mutex.Unlock()\n   351→\n   352→\t// If the job is still in job_cache, transfer it to the job table first\n   353→\tif isCached {\n   354→\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n   355→\t\tif err != nil {\n   356→\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n   357→\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n   358→\t\t\treturn\n   359→\t\t}\n   360→\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n   361→\t\tjob.ID = &newID\n   362→\t}\n   363→\n   364→\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n   365→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n   366→\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n   367→\t\treturn\n   368→\t}\n   369→\n   370→\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n   371→\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n   372→\n   373→\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n   374→\t\treturn\n   375→\t}\n   376→\n   377→\tarchiver.TriggerArchiving(job)\n   378→}\n   379→\n   380→// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n   381→// Updates node states in the repository for all nodes in the payload.\n   382→func (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n   383→\tv, ok := msg.GetEventValue()\n   384→\tif !ok {\n   385→\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n   386→\t\treturn\n   387→\t}\n   388→\n   389→\tvar req UpdateNodeStatesRequest\n   390→\n   391→\tdec := json.NewDecoder(strings.NewReader(v))\n   392→\tdec.DisallowUnknownFields()\n   393→\tif err := dec.Decode(&req); err != nil {\n   394→\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n   395→\t\treturn\n   396→\t}\n   397→\n   398→\trepo := repository.GetNodeRepository()\n   399→\trequestReceived := time.Now().Unix()\n   400→\n   401→\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n   402→\tfor _, node := range req.Nodes {\n   403→\t\tstate := determineState(node.States)\n   404→\t\tnodeState := schema.NodeStateDB{\n   405→\t\t\tTimeStamp:       requestReceived,\n   406→\t\t\tNodeState:       state,\n   407→\t\t\tCpusAllocated:   node.CpusAllocated,\n   408→\t\t\tMemoryAllocated: node.MemoryAllocated,\n   409→\t\t\tGpusAllocated:   node.GpusAllocated,\n   410→\t\t\tHealthState:     schema.MonitoringStateFull,\n   411→\t\t\tJobsRunning:     node.JobsRunning,\n   412→\t\t}\n   413→\t\tupdates = append(updates, repository.NodeStateUpdate{\n   414→\t\t\tHostname:  node.Hostname,\n   415→\t\t\tCluster:   req.Cluster,\n   416→\t\t\tNodeState: &nodeState,\n   417→\t\t})\n   418→\t}\n   419→\n   420→\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n   421→\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n   422→\t}\n   423→\n   424→\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n   425→}\n   426→\n   427→// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n   428→// The message must be in line protocol format with measurement=\"nodestate\" and include:\n   429→//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n   430→//\n   431→// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\n   432→func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n   433→\tif len(data) == 0 {\n   434→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n   435→\t\treturn\n   436→\t}\n   437→\n   438→\td := influx.NewDecoderWithBytes(data)\n   439→\n   440→\tfor d.Next() {\n   441→\t\tm, err := receivers.DecodeInfluxMessage(d)\n   442→\t\tif err != nil {\n   443→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n   444→\t\t\treturn\n   445→\t\t}\n   446→\n   447→\t\tif !m.IsEvent() {\n   448→\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n   449→\t\t\tcontinue\n   450→\t\t}\n   451→\n   452→\t\tif m.Name() == \"nodestate\" {\n   453→\t\t\tapi.processNodestateEvent(m)\n   454→\t\t} else {\n   455→\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n   456→\t\t}\n   457→\t}\n   458→}\n   459→"}]},"uuid":"5ffa60d5-a04a-4575-9dda-74c10d43a5b1","timestamp":"2026-03-16T10:57:13.308Z"},"type":"agent_progress","prompt":"","agentId":"a23b8dfea9f3e3990"},"toolUseID":"agent_msg_01EXD5whwUKTXYWf6KEzAhuw","parentToolUseID":"toolu_01QACQnKJXcMpNDTm1Cyj6ZT","uuid":"029bbc44-7a24-4864-b219-5adc52052ae5","timestamp":"2026-03-16T10:57:13.460Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
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+{"parentUuid":"0ff6752c-8659-415c-b622-8a575b7410c5","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Wi9zh3PibLwZ4mAHUG2dTT","type":"tool_result","content":"internal/api/node.go:23:type UpdateNodeStatesRequest struct {\ninternal/api/node.go:58:// @summary     Deliver updated Slurm node states\ninternal/api/node.go:63:// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\ninternal/api/node.go:73:\treq := UpdateNodeStatesRequest{}\ninternal/api/node.go:145:\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\ninternal/api/docs.go:914:                \"summary\": \"Deliver updated Slurm node states\",\ninternal/api/docs.go:922:                            \"$ref\": \"#/definitions/api.UpdateNodeStatesRequest\"\ninternal/api/docs.go:2093:        \"api.UpdateNodeStatesRequest\": {\ninternal/api/nats.go:59:// Node state updates use the \"nodestate\" measurement with cluster information:\ninternal/api/nats.go:63:// The JSON payload follows the UpdateNodeStatesRequest structure.\ninternal/api/nats.go:389:\tvar req UpdateNodeStatesRequest\ninternal/api/nats.go:420:\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\ninternal/api/nats.go:424:\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\ninternal/api/nats.go:429://   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)"}]},"uuid":"9d777350-3605-41df-ada5-e60d4f2364a5","timestamp":"2026-03-16T10:57:13.459Z"},"type":"agent_progress","prompt":"","agentId":"ab03c542dd3b3a6c0"},"toolUseID":"agent_msg_01EXD5whwUKTXYWf6KEzAhuw","parentToolUseID":"toolu_01X8yQzW7qnoAKt2G4Yh2S2m","uuid":"5c664666-74d2-4014-8d6e-d93ccb252acf","timestamp":"2026-03-16T10:57:13.656Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
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+{"parentUuid":"4b4934e4-dde7-4726-a284-29e0573b275d","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019AyD7E3siDMVXwmqz853pA","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"fmt\"\n    10→\t\"maps\"\n    11→\t\"net/http\"\n    12→\t\"strings\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→)\n    22→\n    23→type UpdateNodeStatesRequest struct {\n    24→\tNodes   []schema.NodePayload `json:\"nodes\"`\n    25→\tCluster string               `json:\"cluster\" example:\"fritz\"`\n    26→}\n    27→\n    28→// metricListToNames converts a map of metric configurations to a list of metric names\n    29→func metricListToNames(metricList map[string]*schema.Metric) []string {\n    30→\tnames := make([]string, 0, len(metricList))\n    31→\tfor name := range metricList {\n    32→\t\tnames = append(names, name)\n    33→\t}\n    34→\treturn names\n    35→}\n    36→\n    37→// this routine assumes that only one of them exists per node\n    38→func determineState(states []string) schema.SchedulerState {\n    39→\tfor _, state := range states {\n    40→\t\tswitch strings.ToLower(state) {\n    41→\t\tcase \"allocated\":\n    42→\t\t\treturn schema.NodeStateAllocated\n    43→\t\tcase \"reserved\":\n    44→\t\t\treturn schema.NodeStateReserved\n    45→\t\tcase \"idle\":\n    46→\t\t\treturn schema.NodeStateIdle\n    47→\t\tcase \"down\":\n    48→\t\t\treturn schema.NodeStateDown\n    49→\t\tcase \"mixed\":\n    50→\t\t\treturn schema.NodeStateMixed\n    51→\t\t}\n    52→\t}\n    53→\n    54→\treturn schema.NodeStateUnknown\n    55→}\n    56→\n    57→// updateNodeStates godoc\n    58→// @summary     Deliver updated Slurm node states\n    59→// @tags Nodestates\n    60→// @description Returns a JSON-encoded list of users.\n    61→// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n    62→// @produce     json\n    63→// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n    64→// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n    65→// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n    66→// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n    67→// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n    68→// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n    69→// @security    ApiKeyAuth\n    70→// @router      /api/nodestats/ [post]\n    71→func (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n    72→\t// Parse request body\n    73→\treq := UpdateNodeStatesRequest{}\n    74→\tif err := decode(r.Body, &req); err != nil {\n    75→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n    76→\t\t\thttp.StatusBadRequest, rw)\n    77→\t\treturn\n    78→\t}\n    79→\trequestReceived := time.Now().Unix()\n    80→\trepo := repository.GetNodeRepository()\n    81→\n    82→\tm := make(map[string][]string)\n    83→\tmetricNames := make(map[string][]string)\n    84→\thealthResults := make(map[string]metricstore.HealthCheckResult)\n    85→\n    86→\tstartMs := time.Now()\n    87→\n    88→\t// Step 1: Build nodeList and metricList per subcluster\n    89→\tfor _, node := range req.Nodes {\n    90→\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n    91→\t\t\tm[sc] = append(m[sc], node.Hostname)\n    92→\t\t}\n    93→\t}\n    94→\n    95→\tfor sc := range m {\n    96→\t\tif sc != \"\" {\n    97→\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n    98→\t\t\tmetricNames[sc] = metricListToNames(metricList)\n    99→\t\t}\n   100→\t}\n   101→\n   102→\t// Step 2: Determine which metric store to query and perform health check\n   103→\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n   104→\tif err != nil {\n   105→\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n   106→\t} else {\n   107→\t\tfor sc, nl := range m {\n   108→\t\t\tif sc != \"\" {\n   109→\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n   110→\t\t\t\t\tmaps.Copy(healthResults, results)\n   111→\t\t\t\t}\n   112→\t\t\t}\n   113→\t\t}\n   114→\t}\n   115→\n   116→\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n   117→\tstartDB := time.Now()\n   118→\n   119→\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n   120→\tfor _, node := range req.Nodes {\n   121→\t\tstate := determineState(node.States)\n   122→\t\thealthState := schema.MonitoringStateFailed\n   123→\t\tvar healthMetrics string\n   124→\t\tif result, ok := healthResults[node.Hostname]; ok {\n   125→\t\t\thealthState = result.State\n   126→\t\t\thealthMetrics = result.HealthMetrics\n   127→\t\t}\n   128→\t\tnodeState := schema.NodeStateDB{\n   129→\t\t\tTimeStamp:       requestReceived,\n   130→\t\t\tNodeState:       state,\n   131→\t\t\tCpusAllocated:   node.CpusAllocated,\n   132→\t\t\tMemoryAllocated: node.MemoryAllocated,\n   133→\t\t\tGpusAllocated:   node.GpusAllocated,\n   134→\t\t\tHealthState:     healthState,\n   135→\t\t\tHealthMetrics:   healthMetrics,\n   136→\t\t\tJobsRunning:     node.JobsRunning,\n   137→\t\t}\n   138→\t\tupdates = append(updates, repository.NodeStateUpdate{\n   139→\t\t\tHostname:  node.Hostname,\n   140→\t\t\tCluster:   req.Cluster,\n   141→\t\t\tNodeState: &nodeState,\n   142→\t\t})\n   143→\t}\n   144→\n   145→\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n   146→\t\tcclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n   147→\t}\n   148→\n   149→\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n   150→}\n   151→"}]},"uuid":"eef1b5ab-ae52-4b11-bf28-adf30fc3b018","timestamp":"2026-03-16T10:57:13.697Z"},"type":"agent_progress","prompt":"","agentId":"ab03c542dd3b3a6c0"},"toolUseID":"agent_msg_01EXD5whwUKTXYWf6KEzAhuw","parentToolUseID":"toolu_01X8yQzW7qnoAKt2G4Yh2S2m","uuid":"4c811d23-4d0a-4acf-9036-e69a549896f3","timestamp":"2026-03-16T10:57:13.706Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
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+{"parentUuid":"dca78925-be6d-407a-b96d-5c7670e19502","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019eh6XRpocoCPuhgpMgd2Ej","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"fmt\"\n    10→\t\"maps\"\n    11→\t\"net/http\"\n    12→\t\"strings\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→)\n    22→\n    23→type UpdateNodeStatesRequest struct {\n    24→\tNodes   []schema.NodePayload `json:\"nodes\"`\n    25→\tCluster string               `json:\"cluster\" example:\"fritz\"`\n    26→}\n    27→\n    28→// metricListToNames converts a map of metric configurations to a list of metric names\n    29→func metricListToNames(metricList map[string]*schema.Metric) []string {\n    30→\tnames := make([]string, 0, len(metricList))\n    31→\tfor name := range metricList {\n    32→\t\tnames = append(names, name)\n    33→\t}\n    34→\treturn names\n    35→}\n    36→\n    37→// this routine assumes that only one of them exists per node\n    38→func determineState(states []string) schema.SchedulerState {\n    39→\tfor _, state := range states {\n    40→\t\tswitch strings.ToLower(state) {\n    41→\t\tcase \"allocated\":\n    42→\t\t\treturn schema.NodeStateAllocated\n    43→\t\tcase \"reserved\":\n    44→\t\t\treturn schema.NodeStateReserved\n    45→\t\tcase \"idle\":\n    46→\t\t\treturn schema.NodeStateIdle\n    47→\t\tcase \"down\":\n    48→\t\t\treturn schema.NodeStateDown\n    49→\t\tcase \"mixed\":\n    50→\t\t\treturn schema.NodeStateMixed\n    51→\t\t}\n    52→\t}\n    53→\n    54→\treturn schema.NodeStateUnknown\n    55→}\n    56→\n    57→// updateNodeStates godoc\n    58→// @summary     Deliver updated Slurm node states\n    59→// @tags Nodestates\n    60→// @description Returns a JSON-encoded list of users.\n    61→// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n    62→// @produce     json\n    63→// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n    64→// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n    65→// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n    66→// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n    67→// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n    68→// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n    69→// @security    ApiKeyAuth\n    70→// @router      /api/nodestats/ [post]\n    71→func (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n    72→\t// Parse request body\n    73→\treq := UpdateNodeStatesRequest{}\n    74→\tif err := decode(r.Body, &req); err != nil {\n    75→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n    76→\t\t\thttp.StatusBadRequest, rw)\n    77→\t\treturn\n    78→\t}\n    79→\trequestReceived := time.Now().Unix()\n    80→\trepo := repository.GetNodeRepository()\n    81→\n    82→\tm := make(map[string][]string)\n    83→\tmetricNames := make(map[string][]string)\n    84→\thealthResults := make(map[string]metricstore.HealthCheckResult)\n    85→\n    86→\tstartMs := time.Now()\n    87→\n    88→\t// Step 1: Build nodeList and metricList per subcluster\n    89→\tfor _, node := range req.Nodes {\n    90→\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n    91→\t\t\tm[sc] = append(m[sc], node.Hostname)\n    92→\t\t}\n    93→\t}\n    94→\n    95→\tfor sc := range m {\n    96→\t\tif sc != \"\" {\n    97→\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n    98→\t\t\tmetricNames[sc] = metricListToNames(metricList)\n    99→\t\t}\n   100→\t}\n   101→\n   102→\t// Step 2: Determine which metric store to query and perform health check\n   103→\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n   104→\tif err != nil {\n   105→\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n   106→\t} else {\n   107→\t\tfor sc, nl := range m {\n   108→\t\t\tif sc != \"\" {\n   109→\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n   110→\t\t\t\t\tmaps.Copy(healthResults, results)\n   111→\t\t\t\t}\n   112→\t\t\t}\n   113→\t\t}\n   114→\t}\n   115→\n   116→\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n   117→\tstartDB := time.Now()\n   118→\n   119→\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n   120→\tfor _, node := range req.Nodes {\n   121→\t\tstate := determineState(node.States)\n   122→\t\thealthState := schema.MonitoringStateFailed\n   123→\t\tvar healthMetrics string\n   124→\t\tif result, ok := healthResults[node.Hostname]; ok {\n   125→\t\t\thealthState = result.State\n   126→\t\t\thealthMetrics = result.HealthMetrics\n   127→\t\t}\n   128→\t\tnodeState := schema.NodeStateDB{\n   129→\t\t\tTimeStamp:       requestReceived,\n   130→\t\t\tNodeState:       state,\n   131→\t\t\tCpusAllocated:   node.CpusAllocated,\n   132→\t\t\tMemoryAllocated: node.MemoryAllocated,\n   133→\t\t\tGpusAllocated:   node.GpusAllocated,\n   134→\t\t\tHealthState:     healthState,\n   135→\t\t\tHealthMetrics:   healthMetrics,\n   136→\t\t\tJobsRunning:     node.JobsRunning,\n   137→\t\t}\n   138→\t\tupdates = append(updates, repository.NodeStateUpdate{\n   139→\t\t\tHostname:  node.Hostname,\n   140→\t\t\tCluster:   req.Cluster,\n   141→\t\t\tNodeState: &nodeState,\n   142→\t\t})\n   143→\t}\n   144→\n   145→\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n   146→\t\tcclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n   147→\t}\n   148→\n   149→\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n   150→}\n   151→"}]},"uuid":"3adfdeac-6e95-465a-9e3c-a502f63aee8f","timestamp":"2026-03-16T10:57:18.010Z"},"type":"agent_progress","prompt":"","agentId":"a23b8dfea9f3e3990"},"toolUseID":"agent_msg_01EXD5whwUKTXYWf6KEzAhuw","parentToolUseID":"toolu_01QACQnKJXcMpNDTm1Cyj6ZT","uuid":"147b2518-6a16-4db2-bf20-43b7205e0ce8","timestamp":"2026-03-16T10:57:18.030Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
+{"parentUuid":"147b2518-6a16-4db2-bf20-43b7205e0ce8","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RFY3PFxf2XX5EdB3GmrE4i","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"database/sql\"\n    11→\t\"encoding/json\"\n    12→\t\"fmt\"\n    13→\t\"slices\"\n    14→\t\"sort\"\n    15→\t\"strings\"\n    16→\t\"sync\"\n    17→\t\"time\"\n    18→\n    19→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    20→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n    23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    24→\tsq \"github.com/Masterminds/squirrel\"\n    25→\t\"github.com/jmoiron/sqlx\"\n    26→)\n    27→\n    28→var (\n    29→\tnodeRepoOnce     sync.Once\n    30→\tnodeRepoInstance *NodeRepository\n    31→)\n    32→\n    33→type NodeRepository struct {\n    34→\tDB        *sqlx.DB\n    35→\tstmtCache *sq.StmtCache\n    36→\tcache     *lrucache.Cache\n    37→\tdriver    string\n    38→}\n    39→\n    40→func GetNodeRepository() *NodeRepository {\n    41→\tnodeRepoOnce.Do(func() {\n    42→\t\tdb := GetConnection()\n    43→\n    44→\t\tnodeRepoInstance = &NodeRepository{\n    45→\t\t\tDB:     db.DB,\n    46→\t\t\tdriver: db.Driver,\n    47→\n    48→\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n    49→\t\t\tcache:     lrucache.New(repoConfig.CacheSize),\n    50→\t\t}\n    51→\t})\n    52→\treturn nodeRepoInstance\n    53→}\n    54→\n    55→// latestStateCondition returns a squirrel expression that restricts node_state\n    56→// rows to the latest per node_id using a correlated subquery.\n    57→// Requires the query to join node and node_state tables.\n    58→func latestStateCondition() sq.Sqlizer {\n    59→\treturn sq.Expr(\n    60→\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n    61→\t)\n    62→}\n    63→\n    64→// applyNodeFilters applies common NodeFilter conditions to a query that joins\n    65→// the node and node_state tables with latestStateCondition.\n    66→func applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n    67→\tfor _, f := range filters {\n    68→\t\tif f.Cluster != nil {\n    69→\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n    70→\t\t}\n    71→\t\tif f.SubCluster != nil {\n    72→\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n    73→\t\t}\n    74→\t\tif f.Hostname != nil {\n    75→\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n    76→\t\t}\n    77→\t\tif f.SchedulerState != nil {\n    78→\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n    79→\t\t}\n    80→\t\tif f.HealthState != nil {\n    81→\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n    82→\t\t}\n    83→\t}\n    84→\treturn query\n    85→}\n    86→\n    87→func (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n    88→\tstart := time.Now()\n    89→\n    90→\tRawMetaData := make([]byte, 0)\n    91→\n    92→\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n    93→\t\tWhere(\"node.hostname = ?\", hostname).\n    94→\t\tWhere(\"node.cluster = ?\", cluster).\n    95→\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n    96→\t\tcclog.Warn(\"Error while scanning for node metadata\")\n    97→\t\treturn nil, err\n    98→\t}\n    99→\n   100→\tif len(RawMetaData) == 0 {\n   101→\t\treturn nil, nil\n   102→\t}\n   103→\n   104→\tMetaData := make(map[string]string)\n   105→\n   106→\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n   107→\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n   108→\t\treturn nil, err\n   109→\t}\n   110→\n   111→\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n   112→\treturn MetaData, nil\n   113→}\n   114→\n   115→func (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n   116→\tnode := &schema.Node{}\n   117→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   118→\t\t\"node_state.node_state\", \"node_state.health_state\").\n   119→\t\tFrom(\"node\").\n   120→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   121→\t\tWhere(latestStateCondition()).\n   122→\t\tWhere(\"node.hostname = ?\", hostname).\n   123→\t\tWhere(\"node.cluster = ?\", cluster).\n   124→\t\tRunWith(r.DB).\n   125→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n   126→\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n   127→\t\treturn nil, err\n   128→\t}\n   129→\n   130→\tif withMeta {\n   131→\t\tvar err error\n   132→\t\tvar meta map[string]string\n   133→\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n   134→\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n   135→\t\t\treturn nil, err\n   136→\t\t}\n   137→\t\tnode.MetaData = meta\n   138→\t}\n   139→\n   140→\treturn node, nil\n   141→}\n   142→\n   143→func (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n   144→\tnode := &schema.Node{}\n   145→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   146→\t\t\"node_state.node_state\", \"node_state.health_state\").\n   147→\t\tFrom(\"node\").\n   148→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   149→\t\tWhere(latestStateCondition()).\n   150→\t\tWhere(\"node.id = ?\", id).\n   151→\t\tRunWith(r.DB).\n   152→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n   153→\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n   154→\t\treturn nil, err\n   155→\t}\n   156→\n   157→\tif withMeta {\n   158→\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n   159→\t\tif metaErr != nil {\n   160→\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n   161→\t\t\treturn nil, metaErr\n   162→\t\t}\n   163→\t\tnode.MetaData = meta\n   164→\t}\n   165→\n   166→\treturn node, nil\n   167→}\n   168→\n   169→// const NamedNodeInsert string = `\n   170→// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n   171→//\n   172→//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n   173→//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n   174→//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n   175→\n   176→const NamedNodeInsert string = `\n   177→INSERT INTO node (hostname, cluster, subcluster)\n   178→\tVALUES (:hostname, :cluster, :subcluster);`\n   179→\n   180→// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n   181→// from a nodestate update from the job scheduler.\n   182→func (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n   183→\tvar err error\n   184→\n   185→\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n   186→\tif err != nil {\n   187→\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n   188→\t\treturn 0, err\n   189→\t}\n   190→\tnode.ID, err = res.LastInsertId()\n   191→\tif err != nil {\n   192→\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n   193→\t\treturn 0, err\n   194→\t}\n   195→\n   196→\treturn node.ID, nil\n   197→}\n   198→\n   199→const NamedNodeStateInsert string = `\n   200→INSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n   201→\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n   202→\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n   203→\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n   204→\n   205→// TODO: Add real Monitoring Health State\n   206→\n   207→// UpdateNodeState is called from the Node REST API to add a row in the node state table\n   208→func (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n   209→\tvar id int64\n   210→\n   211→\tif err := sq.Select(\"id\").From(\"node\").\n   212→\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n   213→\t\tQueryRow().Scan(&id); err != nil {\n   214→\t\tif err == sql.ErrNoRows {\n   215→\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n   216→\t\t\tif err != nil {\n   217→\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n   218→\t\t\t\treturn err\n   219→\t\t\t}\n   220→\t\t\tnode := schema.NodeDB{\n   221→\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n   222→\t\t\t}\n   223→\t\t\tid, err = r.AddNode(&node)\n   224→\t\t\tif err != nil {\n   225→\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n   226→\t\t\t\treturn err\n   227→\t\t\t}\n   228→\n   229→\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n   230→\t\t} else {\n   231→\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n   232→\t\t\treturn err\n   233→\t\t}\n   234→\t}\n   235→\n   236→\tnodeState.NodeID = id\n   237→\n   238→\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n   239→\tif err != nil {\n   240→\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n   241→\t\treturn err\n   242→\t}\n   243→\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n   244→\treturn nil\n   245→}\n   246→\n   247→// NodeStateUpdate holds the data needed to update one node's state in a batch operation.\n   248→type NodeStateUpdate struct {\n   249→\tHostname  string\n   250→\tCluster   string\n   251→\tNodeState *schema.NodeStateDB\n   252→}\n   253→\n   254→// BatchUpdateNodeStates inserts node state rows for multiple nodes in a single transaction.\n   255→// For each node, it looks up (or creates) the node row, then inserts the state row.\n   256→// This reduces lock acquisitions from 2*N to 1 for N nodes.\n   257→func (r *NodeRepository) BatchUpdateNodeStates(updates []NodeStateUpdate) error {\n   258→\ttx, err := r.DB.Beginx()\n   259→\tif err != nil {\n   260→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: begin transaction: %w\", err)\n   261→\t}\n   262→\tdefer tx.Rollback()\n   263→\n   264→\tstmtLookup, err := tx.Preparex(\"SELECT id FROM node WHERE hostname = ? AND cluster = ?\")\n   265→\tif err != nil {\n   266→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare lookup: %w\", err)\n   267→\t}\n   268→\tdefer stmtLookup.Close()\n   269→\n   270→\tstmtInsertNode, err := tx.PrepareNamed(NamedNodeInsert)\n   271→\tif err != nil {\n   272→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare node insert: %w\", err)\n   273→\t}\n   274→\tdefer stmtInsertNode.Close()\n   275→\n   276→\tstmtInsertState, err := tx.PrepareNamed(NamedNodeStateInsert)\n   277→\tif err != nil {\n   278→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare state insert: %w\", err)\n   279→\t}\n   280→\tdefer stmtInsertState.Close()\n   281→\n   282→\tfor _, u := range updates {\n   283→\t\tvar id int64\n   284→\t\tif err := stmtLookup.QueryRow(u.Hostname, u.Cluster).Scan(&id); err != nil {\n   285→\t\t\tif err == sql.ErrNoRows {\n   286→\t\t\t\tsubcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)\n   287→\t\t\t\tif scErr != nil {\n   288→\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: subcluster lookup for '%s' in '%s': %v\", u.Hostname, u.Cluster, scErr)\n   289→\t\t\t\t\tcontinue\n   290→\t\t\t\t}\n   291→\t\t\t\tnode := schema.NodeDB{\n   292→\t\t\t\t\tHostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,\n   293→\t\t\t\t}\n   294→\t\t\t\tres, insertErr := stmtInsertNode.Exec(&node)\n   295→\t\t\t\tif insertErr != nil {\n   296→\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)\n   297→\t\t\t\t\tcontinue\n   298→\t\t\t\t}\n   299→\t\t\t\tid, _ = res.LastInsertId()\n   300→\t\t\t} else {\n   301→\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: lookup node '%s': %v\", u.Hostname, err)\n   302→\t\t\t\tcontinue\n   303→\t\t\t}\n   304→\t\t}\n   305→\n   306→\t\tu.NodeState.NodeID = id\n   307→\t\tif _, err := stmtInsertState.Exec(u.NodeState); err != nil {\n   308→\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert state for '%s': %v\", u.Hostname, err)\n   309→\t\t}\n   310→\t}\n   311→\n   312→\tif err := tx.Commit(); err != nil {\n   313→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: commit: %w\", err)\n   314→\t}\n   315→\treturn nil\n   316→}\n   317→\n   318→// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n   319→// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n   320→// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n   321→// \t\treturn err\n   322→// \t}\n   323→//\n   324→// \treturn nil\n   325→// }\n   326→\n   327→// NodeStateWithNode combines a node state row with denormalized node info.\n   328→type NodeStateWithNode struct {\n   329→\tID              int64  `db:\"id\"`\n   330→\tTimeStamp       int64  `db:\"time_stamp\"`\n   331→\tNodeState       string `db:\"node_state\"`\n   332→\tHealthState     string `db:\"health_state\"`\n   333→\tHealthMetrics   string `db:\"health_metrics\"`\n   334→\tCpusAllocated   int    `db:\"cpus_allocated\"`\n   335→\tMemoryAllocated int64  `db:\"memory_allocated\"`\n   336→\tGpusAllocated   int    `db:\"gpus_allocated\"`\n   337→\tJobsRunning     int    `db:\"jobs_running\"`\n   338→\tHostname        string `db:\"hostname\"`\n   339→\tCluster         string `db:\"cluster\"`\n   340→\tSubCluster      string `db:\"subcluster\"`\n   341→}\n   342→\n   343→// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n   344→// joined with node info for denormalized archiving.\n   345→func (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n   346→\trows, err := sq.Select(\n   347→\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n   348→\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n   349→\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n   350→\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n   351→\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   352→\t).\n   353→\t\tFrom(\"node_state\").\n   354→\t\tJoin(\"node ON node_state.node_id = node.id\").\n   355→\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n   356→\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n   357→\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n   358→\t\tRunWith(r.DB).Query()\n   359→\tif err != nil {\n   360→\t\treturn nil, err\n   361→\t}\n   362→\tdefer rows.Close()\n   363→\n   364→\tvar result []NodeStateWithNode\n   365→\tfor rows.Next() {\n   366→\t\tvar ns NodeStateWithNode\n   367→\t\tvar healthMetrics sql.NullString\n   368→\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n   369→\t\t\t&ns.HealthState, &healthMetrics,\n   370→\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n   371→\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n   372→\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n   373→\t\t\treturn nil, err\n   374→\t\t}\n   375→\t\tns.HealthMetrics = healthMetrics.String\n   376→\t\tresult = append(result, ns)\n   377→\t}\n   378→\treturn result, nil\n   379→}\n   380→\n   381→// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n   382→// but always preserves the row with the latest timestamp per node_id.\n   383→func (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n   384→\tres, err := r.DB.Exec(\n   385→\t\t`DELETE FROM node_state WHERE time_stamp < ?\n   386→\t\t AND id NOT IN (\n   387→\t\t   SELECT id FROM node_state ns2\n   388→\t\t   WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n   389→\t\t )`,\n   390→\t\tcutoff,\n   391→\t)\n   392→\tif err != nil {\n   393→\t\treturn 0, err\n   394→\t}\n   395→\treturn res.RowsAffected()\n   396→}\n   397→\n   398→func (r *NodeRepository) DeleteNode(id int64) error {\n   399→\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n   400→\tif err != nil {\n   401→\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n   402→\t\treturn err\n   403→\t}\n   404→\tcclog.Infof(\"deleted node '%d' from DB\", id)\n   405→\treturn nil\n   406→}\n   407→\n   408→// QueryNodes returns a list of nodes based on a node filter. It always operates\n   409→// on the last state (largest timestamp).\n   410→func (r *NodeRepository) QueryNodes(\n   411→\tctx context.Context,\n   412→\tfilters []*model.NodeFilter,\n   413→\tpage *model.PageRequest,\n   414→\torder *model.OrderByInput, // Currently unused!\n   415→) ([]*schema.Node, error) {\n   416→\tquery, qerr := AccessCheck(ctx,\n   417→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   418→\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n   419→\t\t\tFrom(\"node\").\n   420→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   421→\t\t\tWhere(latestStateCondition()))\n   422→\tif qerr != nil {\n   423→\t\treturn nil, qerr\n   424→\t}\n   425→\n   426→\tquery = applyNodeFilters(query, filters)\n   427→\tquery = query.OrderBy(\"node.hostname ASC\")\n   428→\n   429→\tif page != nil && page.ItemsPerPage != -1 {\n   430→\t\tlimit := uint64(page.ItemsPerPage)\n   431→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n   432→\t}\n   433→\n   434→\trows, err := query.RunWith(r.stmtCache).Query()\n   435→\tif err != nil {\n   436→\t\tqueryString, queryVars, _ := query.ToSql()\n   437→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   438→\t\treturn nil, err\n   439→\t}\n   440→\tdefer rows.Close()\n   441→\n   442→\tnodes := make([]*schema.Node, 0)\n   443→\tfor rows.Next() {\n   444→\t\tnode := schema.Node{}\n   445→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n   446→\t\t\t&node.NodeState, &node.HealthState); err != nil {\n   447→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n   448→\t\t\treturn nil, err\n   449→\t\t}\n   450→\t\tnodes = append(nodes, &node)\n   451→\t}\n   452→\n   453→\tif err := rows.Err(); err != nil {\n   454→\t\treturn nil, err\n   455→\t}\n   456→\n   457→\treturn nodes, nil\n   458→}\n   459→\n   460→// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n   461→// on the last state (largest timestamp). It includes both (!) optional JSON column data\n   462→func (r *NodeRepository) QueryNodesWithMeta(\n   463→\tctx context.Context,\n   464→\tfilters []*model.NodeFilter,\n   465→\tpage *model.PageRequest,\n   466→\torder *model.OrderByInput, // Currently unused!\n   467→) ([]*schema.Node, error) {\n   468→\tquery, qerr := AccessCheck(ctx,\n   469→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   470→\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n   471→\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n   472→\t\t\tFrom(\"node\").\n   473→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   474→\t\t\tWhere(latestStateCondition()))\n   475→\tif qerr != nil {\n   476→\t\treturn nil, qerr\n   477→\t}\n   478→\n   479→\tquery = applyNodeFilters(query, filters)\n   480→\tquery = query.OrderBy(\"node.hostname ASC\")\n   481→\n   482→\tif page != nil && page.ItemsPerPage != -1 {\n   483→\t\tlimit := uint64(page.ItemsPerPage)\n   484→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n   485→\t}\n   486→\n   487→\trows, err := query.RunWith(r.stmtCache).Query()\n   488→\tif err != nil {\n   489→\t\tqueryString, queryVars, _ := query.ToSql()\n   490→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   491→\t\treturn nil, err\n   492→\t}\n   493→\tdefer rows.Close()\n   494→\n   495→\tnodes := make([]*schema.Node, 0)\n   496→\tfor rows.Next() {\n   497→\t\tnode := schema.Node{}\n   498→\t\tRawMetaData := make([]byte, 0)\n   499→\t\tRawMetricHealth := make([]byte, 0)\n   500→\n   501→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n   502→\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n   503→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n   504→\t\t\treturn nil, err\n   505→\t\t}\n   506→\n   507→\t\tif len(RawMetaData) == 0 {\n   508→\t\t\tnode.MetaData = nil\n   509→\t\t} else {\n   510→\t\t\tmetaData := make(map[string]string)\n   511→\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n   512→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n   513→\t\t\t\treturn nil, err\n   514→\t\t\t}\n   515→\t\t\tnode.MetaData = metaData\n   516→\t\t}\n   517→\n   518→\t\tif len(RawMetricHealth) == 0 {\n   519→\t\t\tnode.HealthData = nil\n   520→\t\t} else {\n   521→\t\t\thealthData := make(map[string][]string)\n   522→\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n   523→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n   524→\t\t\t\treturn nil, err\n   525→\t\t\t}\n   526→\t\t\tnode.HealthData = healthData\n   527→\t\t}\n   528→\n   529→\t\tnodes = append(nodes, &node)\n   530→\t}\n   531→\n   532→\tif err := rows.Err(); err != nil {\n   533→\t\treturn nil, err\n   534→\t}\n   535→\n   536→\treturn nodes, nil\n   537→}\n   538→\n   539→// CountNodes returns the total matched nodes based on a node filter. It always operates\n   540→// on the last state (largest timestamp) per node.\n   541→func (r *NodeRepository) CountNodes(\n   542→\tctx context.Context,\n   543→\tfilters []*model.NodeFilter,\n   544→) (int, error) {\n   545→\tquery, qerr := AccessCheck(ctx,\n   546→\t\tsq.Select(\"COUNT(*)\").\n   547→\t\t\tFrom(\"node\").\n   548→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   549→\t\t\tWhere(latestStateCondition()))\n   550→\tif qerr != nil {\n   551→\t\treturn 0, qerr\n   552→\t}\n   553→\n   554→\tquery = applyNodeFilters(query, filters)\n   555→\n   556→\tvar count int\n   557→\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n   558→\t\tqueryString, queryVars, _ := query.ToSql()\n   559→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   560→\t\treturn 0, err\n   561→\t}\n   562→\n   563→\treturn count, nil\n   564→}\n   565→\n   566→func (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n   567→\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   568→\t\t\"node_state.node_state\", \"node_state.health_state\").\n   569→\t\tFrom(\"node\").\n   570→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   571→\t\tWhere(latestStateCondition()).\n   572→\t\tWhere(\"node.cluster = ?\", cluster).\n   573→\t\tOrderBy(\"node.hostname ASC\")\n   574→\n   575→\trows, err := q.RunWith(r.DB).Query()\n   576→\tif err != nil {\n   577→\t\tcclog.Warn(\"Error while querying node list\")\n   578→\t\treturn nil, err\n   579→\t}\n   580→\tnodeList := make([]*schema.Node, 0, 100)\n   581→\tdefer rows.Close()\n   582→\tfor rows.Next() {\n   583→\t\tnode := &schema.Node{}\n   584→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n   585→\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n   586→\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n   587→\t\t\treturn nil, err\n   588→\t\t}\n   589→\n   590→\t\tnodeList = append(nodeList, node)\n   591→\t}\n   592→\n   593→\treturn nodeList, nil\n   594→}\n   595→\n   596→func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n   597→\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n   598→\t\tFrom(\"node\").\n   599→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   600→\t\tWhere(latestStateCondition()).\n   601→\t\tWhere(\"node.cluster = ?\", cluster).\n   602→\t\tOrderBy(\"node.hostname ASC\")\n   603→\n   604→\trows, err := q.RunWith(r.DB).Query()\n   605→\tif err != nil {\n   606→\t\tcclog.Warn(\"Error while querying node list\")\n   607→\t\treturn nil, err\n   608→\t}\n   609→\n   610→\tstateMap := make(map[string]string)\n   611→\tdefer rows.Close()\n   612→\tfor rows.Next() {\n   613→\t\tvar hostname, nodestate string\n   614→\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n   615→\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n   616→\t\t\treturn nil, err\n   617→\t\t}\n   618→\n   619→\t\tstateMap[hostname] = nodestate\n   620→\t}\n   621→\n   622→\treturn stateMap, nil\n   623→}\n   624→\n   625→func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n   626→\tquery, qerr := AccessCheck(ctx,\n   627→\t\tsq.Select(column, \"COUNT(*) as count\").\n   628→\t\t\tFrom(\"node\").\n   629→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   630→\t\t\tWhere(latestStateCondition()).\n   631→\t\t\tGroupBy(column))\n   632→\tif qerr != nil {\n   633→\t\treturn nil, qerr\n   634→\t}\n   635→\n   636→\tquery = applyNodeFilters(query, filters)\n   637→\n   638→\trows, err := query.RunWith(r.stmtCache).Query()\n   639→\tif err != nil {\n   640→\t\tqueryString, queryVars, _ := query.ToSql()\n   641→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   642→\t\treturn nil, err\n   643→\t}\n   644→\tdefer rows.Close()\n   645→\n   646→\tnodes := make([]*model.NodeStates, 0)\n   647→\tfor rows.Next() {\n   648→\t\tvar state string\n   649→\t\tvar count int\n   650→\t\tif err := rows.Scan(&state, &count); err != nil {\n   651→\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n   652→\t\t\treturn nil, err\n   653→\t\t}\n   654→\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n   655→\t}\n   656→\n   657→\tif err := rows.Err(); err != nil {\n   658→\t\treturn nil, err\n   659→\t}\n   660→\n   661→\treturn nodes, nil\n   662→}\n   663→\n   664→func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n   665→\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n   666→\tif qerr != nil {\n   667→\t\treturn nil, qerr\n   668→\t}\n   669→\n   670→\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n   671→\n   672→\tfor _, f := range filters {\n   673→\t\t// Required\n   674→\t\tif f.TimeStart != nil {\n   675→\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n   676→\t\t}\n   677→\t\t// Optional\n   678→\t\tif f.Hostname != nil {\n   679→\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n   680→\t\t}\n   681→\t\tif f.Cluster != nil {\n   682→\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n   683→\t\t}\n   684→\t\tif f.SubCluster != nil {\n   685→\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n   686→\t\t}\n   687→\t\tif f.SchedulerState != nil {\n   688→\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n   689→\t\t}\n   690→\t\tif f.HealthState != nil {\n   691→\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n   692→\t\t}\n   693→\t}\n   694→\n   695→\t// Add Group and Order\n   696→\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n   697→\n   698→\trows, err := query.RunWith(r.stmtCache).Query()\n   699→\tif err != nil {\n   700→\t\tqueryString, queryVars, _ := query.ToSql()\n   701→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   702→\t\treturn nil, err\n   703→\t}\n   704→\tdefer rows.Close()\n   705→\n   706→\trawData := make(map[string][][]int)\n   707→\tfor rows.Next() {\n   708→\t\tvar state string\n   709→\t\tvar timestamp, count int\n   710→\n   711→\t\tif err := rows.Scan(&state, &timestamp, &count); err != nil {\n   712→\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n   713→\t\t\treturn nil, err\n   714→\t\t}\n   715→\n   716→\t\tif rawData[state] == nil {\n   717→\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n   718→\t\t}\n   719→\n   720→\t\trawData[state][0] = append(rawData[state][0], timestamp)\n   721→\t\trawData[state][1] = append(rawData[state][1], count)\n   722→\t}\n   723→\n   724→\tif err := rows.Err(); err != nil {\n   725→\t\treturn nil, err\n   726→\t}\n   727→\n   728→\ttimedStates := make([]*model.NodeStatesTimed, 0)\n   729→\tfor state, data := range rawData {\n   730→\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n   731→\t\ttimedStates = append(timedStates, &entry)\n   732→\t}\n   733→\n   734→\treturn timedStates, nil\n   735→}\n   736→\n   737→func (r *NodeRepository) GetNodesForList(\n   738→\tctx context.Context,\n   739→\tcluster string,\n   740→\tsubCluster string,\n   741→\tstateFilter string,\n   742→\tnodeFilter string,\n   743→\tpage *model.PageRequest,\n   744→) ([]string, map[string]string, int, bool, error) {\n   745→\t// Init Return Vars\n   746→\tnodes := make([]string, 0)\n   747→\tstateMap := make(map[string]string)\n   748→\tcountNodes := 0\n   749→\thasNextPage := false\n   750→\n   751→\t// Build Filters\n   752→\tqueryFilters := make([]*model.NodeFilter, 0)\n   753→\tif cluster != \"\" {\n   754→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n   755→\t}\n   756→\tif subCluster != \"\" {\n   757→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n   758→\t}\n   759→\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n   760→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n   761→\t}\n   762→\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n   763→\t\tqueryState := schema.SchedulerState(stateFilter)\n   764→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n   765→\t}\n   766→\t// if healthFilter != \"all\" {\n   767→\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n   768→\t// }\n   769→\n   770→\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n   771→\tvar backupItems int\n   772→\tif stateFilter == \"notindb\" {\n   773→\t\tbackupItems = page.ItemsPerPage\n   774→\t\tpage.ItemsPerPage = -1\n   775→\t}\n   776→\n   777→\t// Query Nodes From DB\n   778→\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n   779→\tif serr != nil {\n   780→\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n   781→\t\treturn nil, nil, 0, false, serr\n   782→\t}\n   783→\n   784→\t// Intermediate Node Result Info\n   785→\tfor _, node := range rawNodes {\n   786→\t\tif node == nil {\n   787→\t\t\tcontinue\n   788→\t\t}\n   789→\t\tnodes = append(nodes, node.Hostname)\n   790→\t\tstateMap[node.Hostname] = string(node.NodeState)\n   791→\t}\n   792→\n   793→\t// Special Case: Find Nodes not in DB node table but in metricStore only\n   794→\tif stateFilter == \"notindb\" {\n   795→\t\t// Reapply Original Paging\n   796→\t\tpage.ItemsPerPage = backupItems\n   797→\t\t// Get Nodes From Topology\n   798→\t\tvar topoNodes []string\n   799→\t\tif subCluster != \"\" {\n   800→\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n   801→\t\t\ttopoNodes = scNodes.PrintList()\n   802→\t\t} else {\n   803→\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n   804→\t\t\tfor _, nodeList := range subClusterNodeLists {\n   805→\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n   806→\t\t\t}\n   807→\t\t}\n   808→\t\t// Compare to all nodes from cluster/subcluster in DB\n   809→\t\tvar missingNodes []string\n   810→\t\tfor _, scanNode := range topoNodes {\n   811→\t\t\tif !slices.Contains(nodes, scanNode) {\n   812→\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n   813→\t\t\t}\n   814→\t\t}\n   815→\t\t// Filter nodes by name\n   816→\t\tif nodeFilter != \"\" {\n   817→\t\t\tfilteredNodesByName := []string{}\n   818→\t\t\tfor _, missingNode := range missingNodes {\n   819→\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n   820→\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n   821→\t\t\t\t}\n   822→\t\t\t}\n   823→\t\t\tmissingNodes = filteredNodesByName\n   824→\t\t}\n   825→\t\t// Sort Missing Nodes Alphanumerically\n   826→\t\tslices.Sort(missingNodes)\n   827→\t\t// Total Missing\n   828→\t\tcountNodes = len(missingNodes)\n   829→\t\t// Apply paging\n   830→\t\tif countNodes > page.ItemsPerPage {\n   831→\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n   832→\t\t\tend := start + page.ItemsPerPage\n   833→\t\t\tif end > countNodes {\n   834→\t\t\t\tend = countNodes\n   835→\t\t\t\thasNextPage = false\n   836→\t\t\t} else {\n   837→\t\t\t\thasNextPage = true\n   838→\t\t\t}\n   839→\t\t\tnodes = missingNodes[start:end]\n   840→\t\t} else {\n   841→\t\t\tnodes = missingNodes\n   842→\t\t}\n   843→\n   844→\t} else {\n   845→\t\t// DB Nodes: Count and derive hasNextPage from count\n   846→\t\tvar cerr error\n   847→\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n   848→\t\tif cerr != nil {\n   849→\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n   850→\t\t\treturn nil, nil, 0, false, cerr\n   851→\t\t}\n   852→\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n   853→\t}\n   854→\n   855→\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n   856→\tif stateFilter == \"all\" && countNodes == 0 {\n   857→\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n   858→\t}\n   859→\n   860→\treturn nodes, stateMap, countNodes, hasNextPage, nil\n   861→}\n   862→\n   863→func AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n   864→\tuser := GetUserFromContext(ctx)\n   865→\treturn AccessCheckWithUser(user, query)\n   866→}\n   867→\n   868→func AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n   869→\tif user == nil {\n   870→\t\tvar qnil sq.SelectBuilder\n   871→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n   872→\t}\n   873→\n   874→\tswitch {\n   875→\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n   876→\t// \treturn query, nil\n   877→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n   878→\t\treturn query, nil\n   879→\tdefault: // No known Role: No Access, return error\n   880→\t\tvar qnil sq.SelectBuilder\n   881→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n   882→\t}\n   883→}\n   884→\n   885→func getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n   886→\t// 0) Init additional vars\n   887→\thasNextPage := false\n   888→\ttotalNodes := 0\n   889→\n   890→\t// 1) Get list of all nodes\n   891→\tvar topolNodes []string\n   892→\tif subCluster != \"\" {\n   893→\t\tscNodes := archive.NodeLists[cluster][subCluster]\n   894→\t\ttopolNodes = scNodes.PrintList()\n   895→\t} else {\n   896→\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n   897→\t\tfor _, nodeList := range subClusterNodeLists {\n   898→\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n   899→\t\t}\n   900→\t}\n   901→\n   902→\t// 2) Filter nodes\n   903→\tif nodeFilter != \"\" {\n   904→\t\tfilteredNodes := []string{}\n   905→\t\tfor _, node := range topolNodes {\n   906→\t\t\tif strings.Contains(node, nodeFilter) {\n   907→\t\t\t\tfilteredNodes = append(filteredNodes, node)\n   908→\t\t\t}\n   909→\t\t}\n   910→\t\ttopolNodes = filteredNodes\n   911→\t}\n   912→\n   913→\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n   914→\ttotalNodes = len(topolNodes)\n   915→\tsort.Strings(topolNodes)\n   916→\n   917→\t// 3) Apply paging\n   918→\tif len(topolNodes) > page.ItemsPerPage {\n   919→\t\tstart := (page.Page - 1) * page.ItemsPerPage\n   920→\t\tend := start + page.ItemsPerPage\n   921→\t\tif end >= len(topolNodes) {\n   922→\t\t\tend = len(topolNodes)\n   923→\t\t\thasNextPage = false\n   924→\t\t} else {\n   925→\t\t\thasNextPage = true\n   926→\t\t}\n   927→\t\ttopolNodes = topolNodes[start:end]\n   928→\t}\n   929→\n   930→\treturn topolNodes, totalNodes, hasNextPage\n   931→}\n   932→"}]},"uuid":"03f22215-2b2f-4d66-95bd-fc6d163a453e","timestamp":"2026-03-16T10:57:18.112Z"},"type":"agent_progress","prompt":"","agentId":"ab03c542dd3b3a6c0"},"toolUseID":"agent_msg_01EXD5whwUKTXYWf6KEzAhuw","parentToolUseID":"toolu_01X8yQzW7qnoAKt2G4Yh2S2m","uuid":"9bcb6993-f0d6-4d8e-a045-4d0916fbadd8","timestamp":"2026-03-16T10:57:18.113Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
+{"parentUuid":"9bcb6993-f0d6-4d8e-a045-4d0916fbadd8","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:57:18.227Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01GB62upJhAqo8N3gEKvpUbE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VtzMMiihoFFMDVYfu1hbBF","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go","limit":200},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":369,"cache_read_input_tokens":27239,"cache_creation":{"ephemeral_5m_input_tokens":369,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6e2vz5sBthoG3EUuAeF","uuid":"bb542166-d1a9-4b63-92d9-7cee4e0497a2"},"type":"agent_progress","prompt":"","agentId":"a23b8dfea9f3e3990"},"toolUseID":"agent_msg_01EXD5whwUKTXYWf6KEzAhuw","parentToolUseID":"toolu_01QACQnKJXcMpNDTm1Cyj6ZT","uuid":"c4883260-3fe4-4810-a8ea-65ebb0f39e06","timestamp":"2026-03-16T10:57:18.227Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
+{"parentUuid":"c4883260-3fe4-4810-a8ea-65ebb0f39e06","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VtzMMiihoFFMDVYfu1hbBF","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package config implements the program configuration data structures, validation and parsing\n     7→package config\n     8→\n     9→import (\n    10→\t\"bytes\"\n    11→\t\"encoding/json\"\n    12→\t\"time\"\n    13→\n    14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    15→\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n    16→)\n    17→\n    18→type ProgramConfig struct {\n    19→\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n    20→\tAddr string `json:\"addr\"`\n    21→\n    22→\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n    23→\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n    24→\n    25→\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n    26→\n    27→\t// Drop root permissions once .env was read and the port was taken.\n    28→\tUser  string `json:\"user\"`\n    29→\tGroup string `json:\"group\"`\n    30→\n    31→\t// Disable authentication (for everything: API, Web-UI, ...)\n    32→\tDisableAuthentication bool `json:\"disable-authentication\"`\n    33→\n    34→\t// If `embed-static-files` is true (default), the frontend files are directly\n    35→\t// embeded into the go binary and expected to be in web/frontend. Only if\n    36→\t// it is false the files in `static-files` are served instead.\n    37→\tEmbedStaticFiles bool   `json:\"embed-static-files\"`\n    38→\tStaticFiles      string `json:\"static-files\"`\n    39→\n    40→\t// Path to SQLite database file\n    41→\tDB string `json:\"db\"`\n    42→\n    43→\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n    44→\n    45→\t// Validate json input against schema\n    46→\tValidate bool `json:\"validate\"`\n    47→\n    48→\t// If 0 or empty, the session does not expire!\n    49→\tSessionMaxAge string `json:\"session-max-age\"`\n    50→\n    51→\t// If both those options are not empty, use HTTPS using those certificates.\n    52→\tHTTPSCertFile string `json:\"https-cert-file\"`\n    53→\tHTTPSKeyFile  string `json:\"https-key-file\"`\n    54→\n    55→\t// If not the empty string and `addr` does not end in \":80\",\n    56→\t// redirect every request incoming at port 80 to that url.\n    57→\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n    58→\n    59→\t// Where to store MachineState files\n    60→\tMachineStateDir string `json:\"machine-state-dir\"`\n    61→\n    62→\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n    63→\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n    64→\n    65→\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n    66→\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n    67→\n    68→\t// Energy Mix CO2 Emission Constant [g/kWh]\n    69→\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n    70→\tEmissionConstant int `json:\"emission-constant\"`\n    71→\n    72→\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n    73→\tEnableResampling *ResampleConfig `json:\"resampling\"`\n    74→\n    75→\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n    76→\tSystemdUnit string `json:\"systemd-unit\"`\n    77→\n    78→\t// Node state retention configuration\n    79→\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n    80→\n    81→\t// Database tuning configuration\n    82→\tDbConfig *DbConfig `json:\"db-config\"`\n    83→}\n    84→\n    85→type DbConfig struct {\n    86→\tCacheSizeMB               int `json:\"cache-size-mb\"`\n    87→\tSoftHeapLimitMB           int `json:\"soft-heap-limit-mb\"`\n    88→\tMaxOpenConnections        int `json:\"max-open-connections\"`\n    89→\tMaxIdleConnections        int `json:\"max-idle-connections\"`\n    90→\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n    91→\tBusyTimeoutMs             int `json:\"busy-timeout-ms\"`\n    92→}\n    93→\n    94→type NodeStateRetention struct {\n    95→\tPolicy             string `json:\"policy\"`      // \"delete\" or \"move\"\n    96→\tAge                int    `json:\"age\"`         // hours, default 24\n    97→\tTargetKind         string `json:\"target-kind\"` // \"file\" or \"s3\"\n    98→\tTargetPath         string `json:\"target-path\"`\n    99→\tTargetEndpoint     string `json:\"target-endpoint\"`\n   100→\tTargetBucket       string `json:\"target-bucket\"`\n   101→\tTargetAccessKey    string `json:\"target-access-key\"`\n   102→\tTargetSecretKey    string `json:\"target-secret-key\"`\n   103→\tTargetRegion       string `json:\"target-region\"`\n   104→\tTargetUsePathStyle bool   `json:\"target-use-path-style\"`\n   105→\tMaxFileSizeMB      int    `json:\"max-file-size-mb\"`\n   106→}\n   107→\n   108→type ResampleConfig struct {\n   109→\t// Minimum number of points to trigger resampling of data\n   110→\tMinimumPoints int `json:\"minimum-points\"`\n   111→\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n   112→\tResolutions []int `json:\"resolutions\"`\n   113→\t// Trigger next zoom level at less than this many visible datapoints\n   114→\tTrigger int `json:\"trigger\"`\n   115→}\n   116→\n   117→type NATSConfig struct {\n   118→\tSubjectJobEvent  string `json:\"subject-job-event\"`\n   119→\tSubjectNodeState string `json:\"subject-node-state\"`\n   120→\tJobConcurrency   int    `json:\"job-concurrency\"`\n   121→\tNodeConcurrency  int    `json:\"node-concurrency\"`\n   122→}\n   123→\n   124→type IntRange struct {\n   125→\tFrom int `json:\"from\"`\n   126→\tTo   int `json:\"to\"`\n   127→}\n   128→\n   129→type TimeRange struct {\n   130→\tFrom  *time.Time `json:\"from\"`\n   131→\tTo    *time.Time `json:\"to\"`\n   132→\tRange string     `json:\"range,omitempty\"`\n   133→}\n   134→\n   135→type FilterRanges struct {\n   136→\tDuration  *IntRange  `json:\"duration\"`\n   137→\tNumNodes  *IntRange  `json:\"num-nodes\"`\n   138→\tStartTime *TimeRange `json:\"start-time\"`\n   139→}\n   140→\n   141→var Keys ProgramConfig = ProgramConfig{\n   142→\tAddr:                      \"localhost:8080\",\n   143→\tEmbedStaticFiles:          true,\n   144→\tDB:                        \"./var/job.db\",\n   145→\tSessionMaxAge:             \"168h\",\n   146→\tStopJobsExceedingWalltime: 0,\n   147→\tShortRunningJobsDuration:  5 * 60,\n   148→}\n   149→\n   150→func Init(mainConfig json.RawMessage) {\n   151→\tValidate(configSchema, mainConfig)\n   152→\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n   153→\tdec.DisallowUnknownFields()\n   154→\tif err := dec.Decode(&Keys); err != nil {\n   155→\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n   156→\t}\n   157→\n   158→\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n   159→\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n   160→\t}\n   161→}\n   162→"}]},"uuid":"3fd7ecb9-17e4-4a4a-9a38-a03b1cb2176e","timestamp":"2026-03-16T10:57:18.231Z"},"type":"agent_progress","prompt":"","agentId":"a23b8dfea9f3e3990"},"toolUseID":"agent_msg_01EXD5whwUKTXYWf6KEzAhuw","parentToolUseID":"toolu_01QACQnKJXcMpNDTm1Cyj6ZT","uuid":"3a871a63-6074-4d2f-a7d6-6272aaa50137","timestamp":"2026-03-16T10:57:18.334Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
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+{"parentUuid":"6edbc8cb-4f9f-4630-9fb6-6da6c8ffd104","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FudfjBJBewRWkUg7pS88GT","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package api provides the REST API layer for ClusterCockpit.\n     7→// It handles HTTP requests for job management, user administration,\n     8→// cluster queries, node state updates, and metrics storage operations.\n     9→// The API supports both JWT token authentication and session-based authentication.\n    10→package api\n    11→\n    12→import (\n    13→\t\"encoding/json\"\n    14→\t\"fmt\"\n    15→\t\"io\"\n    16→\t\"net/http\"\n    17→\t\"os\"\n    18→\t\"path/filepath\"\n    19→\t\"strings\"\n    20→\t\"sync\"\n    21→\n    22→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n    23→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    24→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    25→\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n    26→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    27→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    28→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n    29→\t\"github.com/go-chi/chi/v5\"\n    30→)\n    31→\n    32→// @title                      ClusterCockpit REST API\n    33→// @version                    1.0.0\n    34→// @description                API for batch job control.\n    35→\n    36→// @contact.name               ClusterCockpit Project\n    37→// @contact.url                https://github.com/ClusterCockpit\n    38→// @contact.email              support@clustercockpit.org\n    39→\n    40→// @license.name               MIT License\n    41→// @license.url                https://opensource.org/licenses/MIT\n    42→\n    43→// @host                       localhost:8080\n    44→\n    45→// @securityDefinitions.apikey ApiKeyAuth\n    46→// @in                         header\n    47→// @name                       X-Auth-Token\n    48→\n    49→const (\n    50→\tnoticeFilePath  = \"./var/notice.txt\"\n    51→\tnoticeFilePerms = 0o644\n    52→\tmaxNoticeLength = 10000 // Maximum allowed notice content length in characters\n    53→)\n    54→\n    55→type RestAPI struct {\n    56→\tJobRepository   *repository.JobRepository\n    57→\tAuthentication  *auth.Authentication\n    58→\tMachineStateDir string\n    59→\t// RepositoryMutex protects job creation operations from race conditions\n    60→\t// when checking for duplicate jobs during startJob API calls.\n    61→\t// It prevents concurrent job starts with the same jobId/cluster/startTime\n    62→\t// from creating duplicate entries in the database.\n    63→\tRepositoryMutex sync.Mutex\n    64→}\n    65→\n    66→// New creates and initializes a new RestAPI instance with configured dependencies.\n    67→func New() *RestAPI {\n    68→\treturn &RestAPI{\n    69→\t\tJobRepository:   repository.GetJobRepository(),\n    70→\t\tMachineStateDir: config.Keys.MachineStateDir,\n    71→\t\tAuthentication:  auth.GetAuthInstance(),\n    72→\t}\n    73→}\n    74→\n    75→// MountAPIRoutes registers REST API endpoints for job and cluster management.\n    76→// These routes use JWT token authentication via the X-Auth-Token header.\n    77→func (api *RestAPI) MountAPIRoutes(r chi.Router) {\n    78→\t// REST API Uses TokenAuth\n    79→\t// User List\n    80→\tr.Get(\"/users/\", api.getUsers)\n    81→\t// Cluster List\n    82→\tr.Get(\"/clusters/\", api.getClusters)\n    83→\t// Slurm node state\n    84→\tr.Post(\"/nodestate/\", api.updateNodeStates)\n    85→\tr.Put(\"/nodestate/\", api.updateNodeStates)\n    86→\t// Job Handler\n    87→\tif config.Keys.APISubjects == nil {\n    88→\t\tcclog.Info(\"Enabling REST start/stop job API\")\n    89→\t\tr.Post(\"/jobs/start_job/\", api.startJob)\n    90→\t\tr.Put(\"/jobs/start_job/\", api.startJob)\n    91→\t\tr.Post(\"/jobs/stop_job/\", api.stopJobByRequest)\n    92→\t\tr.Put(\"/jobs/stop_job/\", api.stopJobByRequest)\n    93→\t}\n    94→\tr.Get(\"/jobs/\", api.getJobs)\n    95→\tr.Get(\"/jobs/used_nodes\", api.getUsedNodes)\n    96→\tr.Post(\"/jobs/tag_job/{id}\", api.tagJob)\n    97→\tr.Patch(\"/jobs/tag_job/{id}\", api.tagJob)\n    98→\tr.Delete(\"/jobs/tag_job/{id}\", api.removeTagJob)\n    99→\tr.Patch(\"/jobs/edit_meta/{id}\", api.editMeta)\n   100→\tr.Patch(\"/jobs/edit_meta/\", api.editMetaByRequest)"}]},"uuid":"5a932477-788a-44ea-a542-492ab270bdb1","timestamp":"2026-03-16T10:57:18.346Z"},"type":"agent_progress","prompt":"","agentId":"a23b8dfea9f3e3990"},"toolUseID":"agent_msg_01EXD5whwUKTXYWf6KEzAhuw","parentToolUseID":"toolu_01QACQnKJXcMpNDTm1Cyj6ZT","uuid":"9624a4bb-2ebb-4668-927e-236919cc5140","timestamp":"2026-03-16T10:57:18.356Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
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+{"parentUuid":"b2ef9289-5ef3-4bf3-96ee-e3ef682d436e","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DJ6neowjdnB1wv2DgQSoTp","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package api\n     6→\n     7→import (\n     8→\t\"context\"\n     9→\t\"database/sql\"\n    10→\t\"encoding/json\"\n    11→\t\"fmt\"\n    12→\t\"os\"\n    13→\t\"path/filepath\"\n    14→\t\"testing\"\n    15→\t\"time\"\n    16→\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n    19→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    20→\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n    21→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    22→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    23→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n    24→\tccconf \"github.com/ClusterCockpit/cc-lib/v2/ccConfig\"\n    25→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    26→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n    27→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    28→\n    29→\t_ \"github.com/mattn/go-sqlite3\"\n    30→)\n    31→\n    32→func setupNatsTest(t *testing.T) *NatsAPI {\n    33→\trepository.ResetConnection()\n    34→\n    35→\tconst testconfig = `{\n    36→\t\t\"main\": {\n    37→\t\"addr\":            \"0.0.0.0:8080\",\n    38→\t\"validate\": false,\n    39→  \"api-allowed-ips\": [\n    40→    \"*\"\n    41→  ]\n    42→\t},\n    43→\t\"archive\": {\n    44→\t\t\"kind\": \"file\",\n    45→\t\t\"path\": \"./var/job-archive\"\n    46→\t},\n    47→\t\"auth\": {\n    48→  \"jwts\": {\n    49→      \"max-age\": \"2m\"\n    50→  }\n    51→\t}\n    52→}`\n    53→\tconst testclusterJSON = `{\n    54→        \"name\": \"testcluster\",\n    55→\t\t\"subClusters\": [\n    56→\t\t\t{\n    57→\t\t\t\t\"name\": \"sc1\",\n    58→\t\t\t\t\"nodes\": \"host123,host124,host125\",\n    59→\t\t\t\t\"processorType\": \"Intel Core i7-4770\",\n    60→\t\t\t\t\"socketsPerNode\": 1,\n    61→\t\t\t\t\"coresPerSocket\": 4,\n    62→\t\t\t\t\"threadsPerCore\": 2,\n    63→                \"flopRateScalar\": {\n    64→                  \"unit\": {\n    65→                    \"prefix\": \"G\",\n    66→                    \"base\": \"F/s\"\n    67→                  },\n    68→                  \"value\": 14\n    69→                },\n    70→                \"flopRateSimd\": {\n    71→                  \"unit\": {\n    72→                    \"prefix\": \"G\",\n    73→                    \"base\": \"F/s\"\n    74→                  },\n    75→                  \"value\": 112\n    76→                },\n    77→                \"memoryBandwidth\": {\n    78→                  \"unit\": {\n    79→                    \"prefix\": \"G\",\n    80→                    \"base\": \"B/s\"\n    81→                  },\n    82→                  \"value\": 24\n    83→                },\n    84→                \"numberOfNodes\": 70,\n    85→\t\t\t\t\"topology\": {\n    86→\t\t\t\t\t\"node\": [0, 1, 2, 3, 4, 5, 6, 7],\n    87→\t\t\t\t\t\"socket\": [[0, 1, 2, 3, 4, 5, 6, 7]],\n    88→\t\t\t\t\t\"memoryDomain\": [[0, 1, 2, 3, 4, 5, 6, 7]],\n    89→\t\t\t\t\t\"die\": [[0, 1, 2, 3, 4, 5, 6, 7]],\n    90→\t\t\t\t\t\"core\": [[0], [1], [2], [3], [4], [5], [6], [7]]\n    91→\t\t\t\t}\n    92→\t\t\t}\n    93→\t\t],\n    94→\t\t\"metricConfig\": [\n    95→\t\t\t{\n    96→\t\t\t\t\"name\": \"load_one\",\n    97→\t\t\t    \"unit\": { \"base\": \"\"},\n    98→\t\t\t\t\"scope\": \"node\",\n    99→\t\t\t\t\"timestep\": 60,\n   100→                \"aggregation\": \"avg\",\n   101→\t\t\t\t\"peak\": 8,\n   102→\t\t\t\t\"normal\": 0,\n   103→\t\t\t\t\"caution\": 0,\n   104→\t\t\t\t\"alert\": 0\n   105→\t\t\t}\n   106→\t\t]\n   107→\t}`\n   108→\n   109→\tcclog.Init(\"info\", true)\n   110→\ttmpdir := t.TempDir()\n   111→\tjobarchive := filepath.Join(tmpdir, \"job-archive\")\n   112→\tif err := os.Mkdir(jobarchive, 0o777); err != nil {\n   113→\t\tt.Fatal(err)\n   114→\t}\n   115→\n   116→\tif err := os.WriteFile(filepath.Join(jobarchive, \"version.txt\"), fmt.Appendf(nil, \"%d\", 3), 0o666); err != nil {\n   117→\t\tt.Fatal(err)\n   118→\t}\n   119→\n   120→\tif err := os.Mkdir(filepath.Join(jobarchive, \"testcluster\"), 0o777); err != nil {\n   121→\t\tt.Fatal(err)\n   122→\t}\n   123→\n   124→\tif err := os.WriteFile(filepath.Join(jobarchive, \"testcluster\", \"cluster.json\"), []byte(testclusterJSON), 0o666); err != nil {\n   125→\t\tt.Fatal(err)\n   126→\t}\n   127→\n   128→\tdbfilepath := filepath.Join(tmpdir, \"test.db\")\n   129→\terr := repository.MigrateDB(dbfilepath)\n   130→\tif err != nil {\n   131→\t\tt.Fatal(err)\n   132→\t}\n   133→\n   134→\tcfgFilePath := filepath.Join(tmpdir, \"config.json\")\n   135→\tif err := os.WriteFile(cfgFilePath, []byte(testconfig), 0o666); err != nil {\n   136→\t\tt.Fatal(err)\n   137→\t}\n   138→\n   139→\tccconf.Init(cfgFilePath)\n   140→\n   141→\t// Load and check main configuration\n   142→\tif cfg := ccconf.GetPackageConfig(\"main\"); cfg != nil {\n   143→\t\tconfig.Init(cfg)\n   144→\t} else {\n   145→\t\tcclog.Abort(\"Main configuration must be present\")\n   146→\t}\n   147→\tarchiveCfg := fmt.Sprintf(\"{\\\"kind\\\": \\\"file\\\",\\\"path\\\": \\\"%s\\\"}\", jobarchive)\n   148→\n   149→\trepository.Connect(dbfilepath)\n   150→\n   151→\tif err := archive.Init(json.RawMessage(archiveCfg)); err != nil {\n   152→\t\tt.Fatal(err)\n   153→\t}\n   154→\n   155→\t// metricstore initialization removed - it's initialized via callback in tests\n   156→\n   157→\tarchiver.Start(repository.GetJobRepository(), context.Background())\n   158→\n   159→\tif cfg := ccconf.GetPackageConfig(\"auth\"); cfg != nil {\n   160→\t\tauth.Init(&cfg)\n   161→\t} else {\n   162→\t\tcclog.Warn(\"Authentication disabled due to missing configuration\")\n   163→\t\tauth.Init(nil)\n   164→\t}\n   165→\n   166→\tgraph.Init()\n   167→\n   168→\treturn NewNatsAPI()\n   169→}\n   170→\n   171→func cleanupNatsTest() {\n   172→\tif err := archiver.Shutdown(5 * time.Second); err != nil {\n   173→\t\tcclog.Warnf(\"Archiver shutdown timeout in tests: %v\", err)\n   174→\t}\n   175→}\n   176→\n   177→func TestNatsHandleStartJob(t *testing.T) {\n   178→\tnatsAPI := setupNatsTest(t)\n   179→\tt.Cleanup(cleanupNatsTest)\n   180→\n   181→\ttests := []struct {\n   182→\t\tname          string\n   183→\t\tpayload       string\n   184→\t\texpectError   bool\n   185→\t\tvalidateJob   func(t *testing.T, job *schema.Job)\n   186→\t\tshouldFindJob bool\n   187→\t}{\n   188→\t\t{\n   189→\t\t\tname: \"valid job start\",\n   190→\t\t\tpayload: `{\n   191→\t\t\t\t\"jobId\": 1001,\n   192→\t\t\t\t\"user\": \"testuser1\",\n   193→\t\t\t\t\"project\": \"testproj1\",\n   194→\t\t\t\t\"cluster\": \"testcluster\",\n   195→\t\t\t\t\"partition\": \"main\",\n   196→\t\t\t\t\"walltime\": 7200,\n   197→\t\t\t\t\"numNodes\": 1,\n   198→\t\t\t\t\"numHwthreads\": 8,\n   199→\t\t\t\t\"numAcc\": 0,\n   200→\t\t\t\t\"shared\": \"none\",\n   201→\t\t\t\t\"monitoringStatus\": 1,\n   202→\t\t\t\t\"smt\": 1,\n   203→\t\t\t\t\"resources\": [\n   204→\t\t\t\t\t{\n   205→\t\t\t\t\t\t\"hostname\": \"host123\",\n   206→\t\t\t\t\t\t\"hwthreads\": [0, 1, 2, 3, 4, 5, 6, 7]\n   207→\t\t\t\t\t}\n   208→\t\t\t\t],\n   209→\t\t\t\t\"startTime\": 1234567890\n   210→\t\t\t}`,\n   211→\t\t\texpectError:   false,\n   212→\t\t\tshouldFindJob: true,\n   213→\t\t\tvalidateJob: func(t *testing.T, job *schema.Job) {\n   214→\t\t\t\tif job.JobID != 1001 {\n   215→\t\t\t\t\tt.Errorf(\"expected JobID 1001, got %d\", job.JobID)\n   216→\t\t\t\t}\n   217→\t\t\t\tif job.User != \"testuser1\" {\n   218→\t\t\t\t\tt.Errorf(\"expected user testuser1, got %s\", job.User)\n   219→\t\t\t\t}\n   220→\t\t\t\tif job.State != schema.JobStateRunning {\n   221→\t\t\t\t\tt.Errorf(\"expected state running, got %s\", job.State)\n   222→\t\t\t\t}\n   223→\t\t\t},\n   224→\t\t},\n   225→\t\t{\n   226→\t\t\tname: \"invalid JSON\",\n   227→\t\t\tpayload: `{\n   228→\t\t\t\t\"jobId\": \"not a number\",\n   229→\t\t\t\t\"user\": \"testuser2\"\n   230→\t\t\t}`,\n   231→\t\t\texpectError:   true,\n   232→\t\t\tshouldFindJob: false,\n   233→\t\t},\n   234→\t\t{\n   235→\t\t\tname: \"missing required fields\",\n   236→\t\t\tpayload: `{\n   237→\t\t\t\t\"jobId\": 1002\n   238→\t\t\t}`,\n   239→\t\t\texpectError:   true,\n   240→\t\t\tshouldFindJob: false,\n   241→\t\t},\n   242→\t\t{\n   243→\t\t\tname: \"job with unknown fields (should fail due to DisallowUnknownFields)\",\n   244→\t\t\tpayload: `{\n   245→\t\t\t\t\"jobId\": 1003,\n   246→\t\t\t\t\"user\": \"testuser3\",\n   247→\t\t\t\t\"project\": \"testproj3\",\n   248→\t\t\t\t\"cluster\": \"testcluster\",\n   249→\t\t\t\t\"partition\": \"main\",\n   250→\t\t\t\t\"walltime\": 3600,\n   251→\t\t\t\t\"numNodes\": 1,\n   252→\t\t\t\t\"numHwthreads\": 8,\n   253→\t\t\t\t\"unknownField\": \"should cause error\",\n   254→\t\t\t\t\"startTime\": 1234567900\n   255→\t\t\t}`,\n   256→\t\t\texpectError:   true,\n   257→\t\t\tshouldFindJob: false,\n   258→\t\t},\n   259→\t\t{\n   260→\t\t\tname: \"job with tags\",\n   261→\t\t\tpayload: `{\n   262→\t\t\t\t\"jobId\": 1004,\n   263→\t\t\t\t\"user\": \"testuser4\",\n   264→\t\t\t\t\"project\": \"testproj4\",\n   265→\t\t\t\t\"cluster\": \"testcluster\",\n   266→\t\t\t\t\"partition\": \"main\",\n   267→\t\t\t\t\"walltime\": 3600,\n   268→\t\t\t\t\"numNodes\": 1,\n   269→\t\t\t\t\"numHwthreads\": 8,\n   270→\t\t\t\t\"numAcc\": 0,\n   271→\t\t\t\t\"shared\": \"none\",\n   272→\t\t\t\t\"monitoringStatus\": 1,\n   273→\t\t\t\t\"smt\": 1,\n   274→\t\t\t\t\"resources\": [\n   275→\t\t\t\t\t{\n   276→\t\t\t\t\t\t\"hostname\": \"host123\",\n   277→\t\t\t\t\t\t\"hwthreads\": [0, 1, 2, 3]\n   278→\t\t\t\t\t}\n   279→\t\t\t\t],\n   280→\t\t\t\t\"tags\": [\n   281→\t\t\t\t\t{\n   282→\t\t\t\t\t\t\"type\": \"test\",\n   283→\t\t\t\t\t\t\"name\": \"testtag\",\n   284→\t\t\t\t\t\t\"scope\": \"testuser4\"\n   285→\t\t\t\t\t}\n   286→\t\t\t\t],\n   287→\t\t\t\t\"startTime\": 1234567910\n   288→\t\t\t}`,\n   289→\t\t\texpectError:   false,\n   290→\t\t\tshouldFindJob: true,\n   291→\t\t\tvalidateJob: func(t *testing.T, job *schema.Job) {\n   292→\t\t\t\tif job.JobID != 1004 {\n   293→\t\t\t\t\tt.Errorf(\"expected JobID 1004, got %d\", job.JobID)\n   294→\t\t\t\t}\n   295→\t\t\t},\n   296→\t\t},\n   297→\t}\n   298→\n   299→\tfor _, tt := range tests {\n   300→\t\tt.Run(tt.name, func(t *testing.T) {\n   301→\t\t\tnatsAPI.handleStartJob(tt.payload)\n   302→\t\t\tnatsAPI.JobRepository.SyncJobs()\n   303→\n   304→\t\t\t// Allow some time for async operations\n   305→\t\t\ttime.Sleep(100 * time.Millisecond)\n   306→\n   307→\t\t\tif tt.shouldFindJob {\n   308→\t\t\t\t// Extract jobId from payload\n   309→\t\t\t\tvar payloadMap map[string]any\n   310→\t\t\t\tjson.Unmarshal([]byte(tt.payload), &payloadMap)\n   311→\t\t\t\tjobID := int64(payloadMap[\"jobId\"].(float64))\n   312→\t\t\t\tcluster := payloadMap[\"cluster\"].(string)\n   313→\t\t\t\tstartTime := int64(payloadMap[\"startTime\"].(float64))\n   314→\n   315→\t\t\t\tjob, err := natsAPI.JobRepository.Find(&jobID, &cluster, &startTime)\n   316→\t\t\t\tif err != nil {\n   317→\t\t\t\t\tif !tt.expectError {\n   318→\t\t\t\t\t\tt.Fatalf(\"expected to find job, but got error: %v\", err)\n   319→\t\t\t\t\t}\n   320→\t\t\t\t\treturn\n   321→\t\t\t\t}\n   322→\n   323→\t\t\t\tif tt.validateJob != nil {\n   324→\t\t\t\t\ttt.validateJob(t, job)\n   325→\t\t\t\t}\n   326→\t\t\t}\n   327→\t\t})\n   328→\t}\n   329→}\n   330→\n   331→func TestNatsHandleStopJob(t *testing.T) {\n   332→\tnatsAPI := setupNatsTest(t)\n   333→\tt.Cleanup(cleanupNatsTest)\n   334→\n   335→\t// First, create a running job\n   336→\tstartPayload := `{\n   337→\t\t\"jobId\": 2001,\n   338→\t\t\"user\": \"testuser\",\n   339→\t\t\"project\": \"testproj\",\n   340→\t\t\"cluster\": \"testcluster\",\n   341→\t\t\"partition\": \"main\",\n   342→\t\t\"walltime\": 3600,\n   343→\t\t\"numNodes\": 1,\n   344→\t\t\"numHwthreads\": 8,\n   345→\t\t\"numAcc\": 0,\n   346→\t\t\"shared\": \"none\",\n   347→\t\t\"monitoringStatus\": 1,\n   348→\t\t\"smt\": 1,\n   349→\t\t\"resources\": [\n   350→\t\t\t{\n   351→\t\t\t\t\"hostname\": \"host123\",\n   352→\t\t\t\t\"hwthreads\": [0, 1, 2, 3, 4, 5, 6, 7]\n   353→\t\t\t}\n   354→\t\t],\n   355→\t\t\"startTime\": 1234567890\n   356→\t}`\n   357→\n   358→\tnatsAPI.handleStartJob(startPayload)\n   359→\tnatsAPI.JobRepository.SyncJobs()\n   360→\ttime.Sleep(100 * time.Millisecond)\n   361→\n   362→\ttests := []struct {\n   363→\t\tname         string\n   364→\t\tpayload      string\n   365→\t\texpectError  bool\n   366→\t\tvalidateJob  func(t *testing.T, job *schema.Job)\n   367→\t\tsetupJobFunc func() // Optional: create specific test job\n   368→\t}{\n   369→\t\t{\n   370→\t\t\tname: \"valid job stop - completed\",\n   371→\t\t\tpayload: `{\n   372→\t\t\t\t\"jobId\": 2001,\n   373→\t\t\t\t\"cluster\": \"testcluster\",\n   374→\t\t\t\t\"startTime\": 1234567890,\n   375→\t\t\t\t\"jobState\": \"completed\",\n   376→\t\t\t\t\"stopTime\": 1234571490\n   377→\t\t\t}`,\n   378→\t\t\texpectError: false,\n   379→\t\t\tvalidateJob: func(t *testing.T, job *schema.Job) {\n   380→\t\t\t\tif job.State != schema.JobStateCompleted {\n   381→\t\t\t\t\tt.Errorf(\"expected state completed, got %s\", job.State)\n   382→\t\t\t\t}\n   383→\t\t\t\texpectedDuration := int32(1234571490 - 1234567890)\n   384→\t\t\t\tif job.Duration != expectedDuration {\n   385→\t\t\t\t\tt.Errorf(\"expected duration %d, got %d\", expectedDuration, job.Duration)\n   386→\t\t\t\t}\n   387→\t\t\t},\n   388→\t\t},\n   389→\t\t{\n   390→\t\t\tname: \"valid job stop - failed\",\n   391→\t\t\tsetupJobFunc: func() {\n   392→\t\t\t\tstartPayloadFailed := `{\n   393→\t\t\t\t\t\"jobId\": 2002,\n   394→\t\t\t\t\t\"user\": \"testuser\",\n   395→\t\t\t\t\t\"project\": \"testproj\",\n   396→\t\t\t\t\t\"cluster\": \"testcluster\",\n   397→\t\t\t\t\t\"partition\": \"main\",\n   398→\t\t\t\t\t\"walltime\": 3600,\n   399→\t\t\t\t\t\"numNodes\": 1,\n   400→\t\t\t\t\t\"numHwthreads\": 8,\n   401→\t\t\t\t\t\"numAcc\": 0,\n   402→\t\t\t\t\t\"shared\": \"none\",\n   403→\t\t\t\t\t\"monitoringStatus\": 1,\n   404→\t\t\t\t\t\"smt\": 1,\n   405→\t\t\t\t\t\"resources\": [\n   406→\t\t\t\t\t\t{\n   407→\t\t\t\t\t\t\t\"hostname\": \"host123\",\n   408→\t\t\t\t\t\t\t\"hwthreads\": [0, 1, 2, 3]\n   409→\t\t\t\t\t\t}\n   410→\t\t\t\t\t],\n   411→\t\t\t\t\t\"startTime\": 1234567900\n   412→\t\t\t\t}`\n   413→\t\t\t\tnatsAPI.handleStartJob(startPayloadFailed)\n   414→\t\t\t\tnatsAPI.JobRepository.SyncJobs()\n   415→\t\t\t\ttime.Sleep(100 * time.Millisecond)\n   416→\t\t\t},\n   417→\t\t\tpayload: `{\n   418→\t\t\t\t\"jobId\": 2002,\n   419→\t\t\t\t\"cluster\": \"testcluster\",\n   420→\t\t\t\t\"startTime\": 1234567900,\n   421→\t\t\t\t\"jobState\": \"failed\",\n   422→\t\t\t\t\"stopTime\": 1234569900\n   423→\t\t\t}`,\n   424→\t\t\texpectError: false,\n   425→\t\t\tvalidateJob: func(t *testing.T, job *schema.Job) {\n   426→\t\t\t\tif job.State != schema.JobStateFailed {\n   427→\t\t\t\t\tt.Errorf(\"expected state failed, got %s\", job.State)\n   428→\t\t\t\t}\n   429→\t\t\t},\n   430→\t\t},\n   431→\t\t{\n   432→\t\t\tname: \"invalid JSON\",\n   433→\t\t\tpayload: `{\n   434→\t\t\t\t\"jobId\": \"not a number\"\n   435→\t\t\t}`,\n   436→\t\t\texpectError: true,\n   437→\t\t},\n   438→\t\t{\n   439→\t\t\tname: \"missing jobId\",\n   440→\t\t\tpayload: `{\n   441→\t\t\t\t\"cluster\": \"testcluster\",\n   442→\t\t\t\t\"jobState\": \"completed\",\n   443→\t\t\t\t\"stopTime\": 1234571490\n   444→\t\t\t}`,\n   445→\t\t\texpectError: true,\n   446→\t\t},\n   447→\t\t{\n   448→\t\t\tname: \"invalid job state\",\n   449→\t\t\tsetupJobFunc: func() {\n   450→\t\t\t\tstartPayloadInvalid := `{\n   451→\t\t\t\t\t\"jobId\": 2003,\n   452→\t\t\t\t\t\"user\": \"testuser\",\n   453→\t\t\t\t\t\"project\": \"testproj\",\n   454→\t\t\t\t\t\"cluster\": \"testcluster\",\n   455→\t\t\t\t\t\"partition\": \"main\",\n   456→\t\t\t\t\t\"walltime\": 3600,\n   457→\t\t\t\t\t\"numNodes\": 1,\n   458→\t\t\t\t\t\"numHwthreads\": 8,\n   459→\t\t\t\t\t\"numAcc\": 0,\n   460→\t\t\t\t\t\"shared\": \"none\",\n   461→\t\t\t\t\t\"monitoringStatus\": 1,\n   462→\t\t\t\t\t\"smt\": 1,\n   463→\t\t\t\t\t\"resources\": [\n   464→\t\t\t\t\t\t{\n   465→\t\t\t\t\t\t\t\"hostname\": \"host123\",\n   466→\t\t\t\t\t\t\t\"hwthreads\": [0, 1]\n   467→\t\t\t\t\t\t}\n   468→\t\t\t\t\t],\n   469→\t\t\t\t\t\"startTime\": 1234567910\n   470→\t\t\t\t}`\n   471→\t\t\t\tnatsAPI.handleStartJob(startPayloadInvalid)\n   472→\t\t\t\tnatsAPI.JobRepository.SyncJobs()\n   473→\t\t\t\ttime.Sleep(100 * time.Millisecond)\n   474→\t\t\t},\n   475→\t\t\tpayload: `{\n   476→\t\t\t\t\"jobId\": 2003,\n   477→\t\t\t\t\"cluster\": \"testcluster\",\n   478→\t\t\t\t\"startTime\": 1234567910,\n   479→\t\t\t\t\"jobState\": \"invalid_state\",\n   480→\t\t\t\t\"stopTime\": 1234571510\n   481→\t\t\t}`,\n   482→\t\t\texpectError: true,\n   483→\t\t},\n   484→\t\t{\n   485→\t\t\tname: \"stopTime before startTime\",\n   486→\t\t\tsetupJobFunc: func() {\n   487→\t\t\t\tstartPayloadTime := `{\n   488→\t\t\t\t\t\"jobId\": 2004,\n   489→\t\t\t\t\t\"user\": \"testuser\",\n   490→\t\t\t\t\t\"project\": \"testproj\",\n   491→\t\t\t\t\t\"cluster\": \"testcluster\",\n   492→\t\t\t\t\t\"partition\": \"main\",\n   493→\t\t\t\t\t\"walltime\": 3600,\n   494→\t\t\t\t\t\"numNodes\": 1,\n   495→\t\t\t\t\t\"numHwthreads\": 8,\n   496→\t\t\t\t\t\"numAcc\": 0,\n   497→\t\t\t\t\t\"shared\": \"none\",\n   498→\t\t\t\t\t\"monitoringStatus\": 1,\n   499→\t\t\t\t\t\"smt\": 1,\n   500→\t\t\t\t\t\"resources\": [\n   501→\t\t\t\t\t\t{\n   502→\t\t\t\t\t\t\t\"hostname\": \"host123\",\n   503→\t\t\t\t\t\t\t\"hwthreads\": [0]\n   504→\t\t\t\t\t\t}\n   505→\t\t\t\t\t],\n   506→\t\t\t\t\t\"startTime\": 1234567920\n   507→\t\t\t\t}`\n   508→\t\t\t\tnatsAPI.handleStartJob(startPayloadTime)\n   509→\t\t\t\tnatsAPI.JobRepository.SyncJobs()\n   510→\t\t\t\ttime.Sleep(100 * time.Millisecond)\n   511→\t\t\t},\n   512→\t\t\tpayload: `{\n   513→\t\t\t\t\"jobId\": 2004,\n   514→\t\t\t\t\"cluster\": \"testcluster\",\n   515→\t\t\t\t\"startTime\": 1234567920,\n   516→\t\t\t\t\"jobState\": \"completed\",\n   517→\t\t\t\t\"stopTime\": 1234567900\n   518→\t\t\t}`,\n   519→\t\t\texpectError: true,\n   520→\t\t},\n   521→\t\t{\n   522→\t\t\tname: \"job not found\",\n   523→\t\t\tpayload: `{\n   524→\t\t\t\t\"jobId\": 99999,\n   525→\t\t\t\t\"cluster\": \"testcluster\",\n   526→\t\t\t\t\"startTime\": 1234567890,\n   527→\t\t\t\t\"jobState\": \"completed\",\n   528→\t\t\t\t\"stopTime\": 1234571490\n   529→\t\t\t}`,\n   530→\t\t\texpectError: true,\n   531→\t\t},\n   532→\t}\n   533→\n   534→\ttestData := schema.JobData{\n   535→\t\t\"load_one\": map[schema.MetricScope]*schema.JobMetric{\n   536→\t\t\tschema.MetricScopeNode: {\n   537→\t\t\t\tUnit:     schema.Unit{Base: \"load\"},\n   538→\t\t\t\tTimestep: 60,\n   539→\t\t\t\tSeries: []schema.Series{\n   540→\t\t\t\t\t{\n   541→\t\t\t\t\t\tHostname:   \"host123\",\n   542→\t\t\t\t\t\tStatistics: schema.MetricStatistics{Min: 0.1, Avg: 0.2, Max: 0.3},\n   543→\t\t\t\t\t\tData:       []schema.Float{0.1, 0.1, 0.1, 0.2, 0.2, 0.2, 0.3, 0.3, 0.3},\n   544→\t\t\t\t\t},\n   545→\t\t\t\t},\n   546→\t\t\t},\n   547→\t\t},\n   548→\t}\n   549→\n   550→\tmetricstore.TestLoadDataCallback = func(job *schema.Job, metrics []string, scopes []schema.MetricScope, ctx context.Context, resolution int) (schema.JobData, error) {\n   551→\t\treturn testData, nil\n   552→\t}\n   553→\n   554→\tfor _, tt := range tests {\n   555→\t\tt.Run(tt.name, func(t *testing.T) {\n   556→\t\t\tif tt.setupJobFunc != nil {\n   557→\t\t\t\ttt.setupJobFunc()\n   558→\t\t\t}\n   559→\n   560→\t\t\tnatsAPI.handleStopJob(tt.payload)\n   561→\n   562→\t\t\t// Allow some time for async operations\n   563→\t\t\ttime.Sleep(100 * time.Millisecond)\n   564→\n   565→\t\t\tif !tt.expectError && tt.validateJob != nil {\n   566→\t\t\t\t// Extract job details from payload\n   567→\t\t\t\tvar payloadMap map[string]any\n   568→\t\t\t\tjson.Unmarshal([]byte(tt.payload), &payloadMap)\n   569→\t\t\t\tjobID := int64(payloadMap[\"jobId\"].(float64))\n   570→\t\t\t\tcluster := payloadMap[\"cluster\"].(string)\n   571→\n   572→\t\t\t\tvar startTime *int64\n   573→\t\t\t\tif st, ok := payloadMap[\"startTime\"]; ok {\n   574→\t\t\t\t\tt := int64(st.(float64))\n   575→\t\t\t\t\tstartTime = &t\n   576→\t\t\t\t}\n   577→\n   578→\t\t\t\tjob, err := natsAPI.JobRepository.Find(&jobID, &cluster, startTime)\n   579→\t\t\t\tif err != nil {\n   580→\t\t\t\t\tt.Fatalf(\"expected to find job, but got error: %v\", err)\n   581→\t\t\t\t}\n   582→\n   583→\t\t\t\ttt.validateJob(t, job)\n   584→\t\t\t}\n   585→\t\t})\n   586→\t}\n   587→}\n   588→\n   589→func TestNatsHandleNodeState(t *testing.T) {\n   590→\tnatsAPI := setupNatsTest(t)\n   591→\tt.Cleanup(cleanupNatsTest)\n   592→\n   593→\ttests := []struct {\n   594→\t\tname        string\n   595→\t\tdata        []byte\n   596→\t\texpectError bool\n   597→\t\tvalidateFn  func(t *testing.T)\n   598→\t}{\n   599→\t\t{\n   600→\t\t\tname:        \"valid node state update\",\n   601→\t\t\tdata:        []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"host123\\\",\\\"states\\\":[\\\"allocated\\\"],\\\"cpusAllocated\\\":8,\\\"memoryAllocated\\\":16384,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":1}]}\" 1234567890000000000`),\n   602→\t\t\texpectError: false,\n   603→\t\t\tvalidateFn: func(t *testing.T) {\n   604→\t\t\t\t// In a full test, we would verify the node state was updated in the database\n   605→\t\t\t\t// For now, just ensure no error occurred\n   606→\t\t\t},\n   607→\t\t},\n   608→\t\t{\n   609→\t\t\tname:        \"multiple nodes\",\n   610→\t\t\tdata:        []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"host123\\\",\\\"states\\\":[\\\"idle\\\"],\\\"cpusAllocated\\\":0,\\\"memoryAllocated\\\":0,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":0},{\\\"hostname\\\":\\\"host124\\\",\\\"states\\\":[\\\"allocated\\\"],\\\"cpusAllocated\\\":4,\\\"memoryAllocated\\\":8192,\\\"gpusAllocated\\\":1,\\\"jobsRunning\\\":1}]}\" 1234567890000000000`),\n   611→\t\t\texpectError: false,\n   612→\t\t},\n   613→\t\t{\n   614→\t\t\tname:        \"invalid JSON in event field\",\n   615→\t\t\tdata:        []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":\\\"not an array\\\"}\" 1234567890000000000`),\n   616→\t\t\texpectError: true,\n   617→\t\t},\n   618→\t\t{\n   619→\t\t\tname:        \"empty nodes array\",\n   620→\t\t\tdata:        []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[]}\" 1234567890000000000`),\n   621→\t\t\texpectError: false, // Empty array should not cause error\n   622→\t\t},\n   623→\t\t{\n   624→\t\t\tname:        \"invalid line protocol format\",\n   625→\t\t\tdata:        []byte(`invalid line protocol format`),\n   626→\t\t\texpectError: true,\n   627→\t\t},\n   628→\t\t{\n   629→\t\t\tname:        \"empty data\",\n   630→\t\t\tdata:        []byte(``),\n   631→\t\t\texpectError: false, // Should be handled gracefully with warning\n   632→\t\t},\n   633→\t}\n   634→\n   635→\tfor _, tt := range tests {\n   636→\t\tt.Run(tt.name, func(t *testing.T) {\n   637→\t\t\tnatsAPI.handleNodeState(\"test.subject\", tt.data)\n   638→\n   639→\t\t\t// Allow some time for async operations\n   640→\t\t\ttime.Sleep(50 * time.Millisecond)\n   641→\n   642→\t\t\tif tt.validateFn != nil {\n   643→\t\t\t\ttt.validateFn(t)\n   644→\t\t\t}\n   645→\t\t})\n   646→\t}\n   647→}\n   648→\n   649→func TestNatsProcessJobEvent(t *testing.T) {\n   650→\tnatsAPI := setupNatsTest(t)\n   651→\tt.Cleanup(cleanupNatsTest)\n   652→\n   653→\tmsgStartJob, err := lp.NewMessage(\n   654→\t\t\"job\",\n   655→\t\tmap[string]string{\"function\": \"start_job\"},\n   656→\t\tnil,\n   657→\t\tmap[string]any{\n   658→\t\t\t\"event\": `{\n   659→\t\t\t\t\"jobId\": 3001,\n   660→\t\t\t\t\"user\": \"testuser\",\n   661→\t\t\t\t\"project\": \"testproj\",\n   662→\t\t\t\t\"cluster\": \"testcluster\",\n   663→\t\t\t\t\"partition\": \"main\",\n   664→\t\t\t\t\"walltime\": 3600,\n   665→\t\t\t\t\"numNodes\": 1,\n   666→\t\t\t\t\"numHwthreads\": 8,\n   667→\t\t\t\t\"numAcc\": 0,\n   668→\t\t\t\t\"shared\": \"none\",\n   669→\t\t\t\t\"monitoringStatus\": 1,\n   670→\t\t\t\t\"smt\": 1,\n   671→\t\t\t\t\"resources\": [\n   672→\t\t\t\t\t{\n   673→\t\t\t\t\t\t\"hostname\": \"host123\",\n   674→\t\t\t\t\t\t\"hwthreads\": [0, 1, 2, 3]\n   675→\t\t\t\t\t}\n   676→\t\t\t\t],\n   677→\t\t\t\t\"startTime\": 1234567890\n   678→\t\t\t}`,\n   679→\t\t},\n   680→\t\ttime.Now(),\n   681→\t)\n   682→\tif err != nil {\n   683→\t\tt.Fatalf(\"failed to create test message: %v\", err)\n   684→\t}\n   685→\n   686→\tmsgMissingTag, err := lp.NewMessage(\n   687→\t\t\"job\",\n   688→\t\tmap[string]string{},\n   689→\t\tnil,\n   690→\t\tmap[string]any{\n   691→\t\t\t\"event\": `{}`,\n   692→\t\t},\n   693→\t\ttime.Now(),\n   694→\t)\n   695→\tif err != nil {\n   696→\t\tt.Fatalf(\"failed to create test message: %v\", err)\n   697→\t}\n   698→\n   699→\tmsgUnknownFunc, err := lp.NewMessage(\n   700→\t\t\"job\",\n   701→\t\tmap[string]string{\"function\": \"unknown_function\"},\n   702→\t\tnil,\n   703→\t\tmap[string]any{\n   704→\t\t\t\"event\": `{}`,\n   705→\t\t},\n   706→\t\ttime.Now(),\n   707→\t)\n   708→\tif err != nil {\n   709→\t\tt.Fatalf(\"failed to create test message: %v\", err)\n   710→\t}\n   711→\n   712→\ttests := []struct {\n   713→\t\tname        string\n   714→\t\tmessage     lp.CCMessage\n   715→\t\texpectError bool\n   716→\t}{\n   717→\t\t{\n   718→\t\t\tname:        \"start_job function\",\n   719→\t\t\tmessage:     msgStartJob,\n   720→\t\t\texpectError: false,\n   721→\t\t},\n   722→\t\t{\n   723→\t\t\tname:        \"missing function tag\",\n   724→\t\t\tmessage:     msgMissingTag,\n   725→\t\t\texpectError: true,\n   726→\t\t},\n   727→\t\t{\n   728→\t\t\tname:        \"unknown function\",\n   729→\t\t\tmessage:     msgUnknownFunc,\n   730→\t\t\texpectError: false,\n   731→\t\t},\n   732→\t}\n   733→\n   734→\tfor _, tt := range tests {\n   735→\t\tt.Run(tt.name, func(t *testing.T) {\n   736→\t\t\tnatsAPI.processJobEvent(tt.message)\n   737→\t\t\ttime.Sleep(50 * time.Millisecond)\n   738→\t\t})\n   739→\t}\n   740→}\n   741→\n   742→func TestNatsHandleJobEvent(t *testing.T) {\n   743→\tnatsAPI := setupNatsTest(t)\n   744→\tt.Cleanup(cleanupNatsTest)\n   745→\n   746→\ttests := []struct {\n   747→\t\tname        string\n   748→\t\tdata        []byte\n   749→\t\texpectError bool\n   750→\t}{\n   751→\t\t{\n   752→\t\t\tname:        \"valid influx line protocol\",\n   753→\t\t\tdata:        []byte(`job,function=start_job event=\"{\\\"jobId\\\":4001,\\\"user\\\":\\\"testuser\\\",\\\"project\\\":\\\"testproj\\\",\\\"cluster\\\":\\\"testcluster\\\",\\\"partition\\\":\\\"main\\\",\\\"walltime\\\":3600,\\\"numNodes\\\":1,\\\"numHwthreads\\\":8,\\\"numAcc\\\":0,\\\"shared\\\":\\\"none\\\",\\\"monitoringStatus\\\":1,\\\"smt\\\":1,\\\"resources\\\":[{\\\"hostname\\\":\\\"host123\\\",\\\"hwthreads\\\":[0,1,2,3]}],\\\"startTime\\\":1234567890}\" 1234567890000000000`),\n   754→\t\t\texpectError: false,\n   755→\t\t},\n   756→\t\t{\n   757→\t\t\tname:        \"invalid influx line protocol\",\n   758→\t\t\tdata:        []byte(`invalid line protocol format`),\n   759→\t\t\texpectError: true,\n   760→\t\t},\n   761→\t\t{\n   762→\t\t\tname:        \"empty data\",\n   763→\t\t\tdata:        []byte(``),\n   764→\t\t\texpectError: false, // Decoder should handle empty input gracefully\n   765→\t\t},\n   766→\t}\n   767→\n   768→\tfor _, tt := range tests {\n   769→\t\tt.Run(tt.name, func(t *testing.T) {\n   770→\t\t\t// HandleJobEvent doesn't return errors, it logs them\n   771→\t\t\t// We're just ensuring it doesn't panic\n   772→\t\t\tnatsAPI.handleJobEvent(\"test.subject\", tt.data)\n   773→\t\t\ttime.Sleep(50 * time.Millisecond)\n   774→\t\t})\n   775→\t}\n   776→}\n   777→\n   778→func TestNatsHandleJobEventEdgeCases(t *testing.T) {\n   779→\tnatsAPI := setupNatsTest(t)\n   780→\tt.Cleanup(cleanupNatsTest)\n   781→\n   782→\ttests := []struct {\n   783→\t\tname        string\n   784→\t\tdata        []byte\n   785→\t\texpectError bool\n   786→\t\tdescription string\n   787→\t}{\n   788→\t\t{\n   789→\t\t\tname:        \"non-event message (metric data)\",\n   790→\t\t\tdata:        []byte(`job,function=start_job value=123.45 1234567890000000000`),\n   791→\t\t\texpectError: false,\n   792→\t\t\tdescription: \"Should skip non-event messages gracefully\",\n   793→\t\t},\n   794→\t\t{\n   795→\t\t\tname:        \"wrong measurement name\",\n   796→\t\t\tdata:        []byte(`wrongmeasurement,function=start_job event=\"{}\" 1234567890000000000`),\n   797→\t\t\texpectError: false,\n   798→\t\t\tdescription: \"Should warn about unexpected measurement but not fail\",\n   799→\t\t},\n   800→\t\t{\n   801→\t\t\tname:        \"missing event field\",\n   802→\t\t\tdata:        []byte(`job,function=start_job other_field=\"value\" 1234567890000000000`),\n   803→\t\t\texpectError: true,\n   804→\t\t\tdescription: \"Should error when event field is missing\",\n   805→\t\t},\n   806→\t\t{\n   807→\t\t\tname:        \"multiple measurements in one message\",\n   808→\t\t\tdata:        []byte(\"job,function=start_job event=\\\"{}\\\" 1234567890000000000\\njob,function=stop_job event=\\\"{}\\\" 1234567890000000000\"),\n   809→\t\t\texpectError: false,\n   810→\t\t\tdescription: \"Should process multiple lines\",\n   811→\t\t},\n   812→\t\t{\n   813→\t\t\tname:        \"escaped quotes in JSON payload\",\n   814→\t\t\tdata:        []byte(`job,function=start_job event=\"{\\\"jobId\\\":6001,\\\"user\\\":\\\"test\\\\\\\"user\\\",\\\"cluster\\\":\\\"test\\\"}\" 1234567890000000000`),\n   815→\t\t\texpectError: true,\n   816→\t\t\tdescription: \"Should handle escaped quotes (though JSON parsing may fail)\",\n   817→\t\t},\n   818→\t}\n   819→\n   820→\tfor _, tt := range tests {\n   821→\t\tt.Run(tt.name, func(t *testing.T) {\n   822→\t\t\tnatsAPI.handleJobEvent(\"test.subject\", tt.data)\n   823→\t\t\ttime.Sleep(50 * time.Millisecond)\n   824→\t\t})\n   825→\t}\n   826→}\n   827→\n   828→func TestNatsHandleNodeStateEdgeCases(t *testing.T) {\n   829→\tnatsAPI := setupNatsTest(t)\n   830→\tt.Cleanup(cleanupNatsTest)\n   831→\n   832→\ttests := []struct {\n   833→\t\tname        string\n   834→\t\tdata        []byte\n   835→\t\texpectError bool\n   836→\t\tdescription string\n   837→\t}{\n   838→\t\t{\n   839→\t\t\tname:        \"missing cluster field in JSON\",\n   840→\t\t\tdata:        []byte(`nodestate event=\"{\\\"nodes\\\":[]}\" 1234567890000000000`),\n   841→\t\t\texpectError: true,\n   842→\t\t\tdescription: \"Should fail when cluster is missing\",\n   843→\t\t},\n   844→\t\t{\n   845→\t\t\tname:        \"malformed JSON with unescaped quotes\",\n   846→\t\t\tdata:        []byte(`nodestate event=\"{\\\"cluster\\\":\\\"test\"cluster\\\",\\\"nodes\\\":[]}\" 1234567890000000000`),\n   847→\t\t\texpectError: true,\n   848→\t\t\tdescription: \"Should fail on malformed JSON\",\n   849→\t\t},\n   850→\t\t{\n   851→\t\t\tname:        \"unicode characters in hostname\",\n   852→\t\t\tdata:        []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"host-ñ123\\\",\\\"states\\\":[\\\"idle\\\"],\\\"cpusAllocated\\\":0,\\\"memoryAllocated\\\":0,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":0}]}\" 1234567890000000000`),\n   853→\t\t\texpectError: false,\n   854→\t\t\tdescription: \"Should handle unicode characters\",\n   855→\t\t},\n   856→\t\t{\n   857→\t\t\tname:        \"very large node count\",\n   858→\t\t\tdata:        []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node1\\\",\\\"states\\\":[\\\"idle\\\"],\\\"cpusAllocated\\\":0,\\\"memoryAllocated\\\":0,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":0},{\\\"hostname\\\":\\\"node2\\\",\\\"states\\\":[\\\"idle\\\"],\\\"cpusAllocated\\\":0,\\\"memoryAllocated\\\":0,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":0},{\\\"hostname\\\":\\\"node3\\\",\\\"states\\\":[\\\"idle\\\"],\\\"cpusAllocated\\\":0,\\\"memoryAllocated\\\":0,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":0}]}\" 1234567890000000000`),\n   859→\t\t\texpectError: false,\n   860→\t\t\tdescription: \"Should handle multiple nodes efficiently\",\n   861→\t\t},\n   862→\t\t{\n   863→\t\t\tname:        \"timestamp in past\",\n   864→\t\t\tdata:        []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[]}\" 1000000000000000000`),\n   865→\t\t\texpectError: false,\n   866→\t\t\tdescription: \"Should accept any valid timestamp\",\n   867→\t\t},\n   868→\t}\n   869→\n   870→\tfor _, tt := range tests {\n   871→\t\tt.Run(tt.name, func(t *testing.T) {\n   872→\t\t\tnatsAPI.handleNodeState(\"test.subject\", tt.data)\n   873→\t\t\ttime.Sleep(50 * time.Millisecond)\n   874→\t\t})\n   875→\t}\n   876→}\n   877→\n   878→func TestNatsHandleStartJobDuplicatePrevention(t *testing.T) {\n   879→\tnatsAPI := setupNatsTest(t)\n   880→\tt.Cleanup(cleanupNatsTest)\n   881→\n   882→\t// Start a job\n   883→\tpayload := `{\n   884→\t\t\"jobId\": 5001,\n   885→\t\t\"user\": \"testuser\",\n   886→\t\t\"project\": \"testproj\",\n   887→\t\t\"cluster\": \"testcluster\",\n   888→\t\t\"partition\": \"main\",\n   889→\t\t\"walltime\": 3600,\n   890→\t\t\"numNodes\": 1,\n   891→\t\t\"numHwthreads\": 8,\n   892→\t\t\"numAcc\": 0,\n   893→\t\t\"shared\": \"none\",\n   894→\t\t\"monitoringStatus\": 1,\n   895→\t\t\"smt\": 1,\n   896→\t\t\"resources\": [\n   897→\t\t\t{\n   898→\t\t\t\t\"hostname\": \"host123\",\n   899→\t\t\t\t\"hwthreads\": [0, 1, 2, 3]\n   900→\t\t\t}\n   901→\t\t],\n   902→\t\t\"startTime\": 1234567890\n   903→\t}`\n   904→\n   905→\tnatsAPI.handleStartJob(payload)\n   906→\tnatsAPI.JobRepository.SyncJobs()\n   907→\ttime.Sleep(100 * time.Millisecond)\n   908→\n   909→\t// Try to start the same job again (within 24 hours)\n   910→\tduplicatePayload := `{\n   911→\t\t\"jobId\": 5001,\n   912→\t\t\"user\": \"testuser\",\n   913→\t\t\"project\": \"testproj\",\n   914→\t\t\"cluster\": \"testcluster\",\n   915→\t\t\"partition\": \"main\",\n   916→\t\t\"walltime\": 3600,\n   917→\t\t\"numNodes\": 1,\n   918→\t\t\"numHwthreads\": 8,\n   919→\t\t\"numAcc\": 0,\n   920→\t\t\"shared\": \"none\",\n   921→\t\t\"monitoringStatus\": 1,\n   922→\t\t\"smt\": 1,\n   923→\t\t\"resources\": [\n   924→\t\t\t{\n   925→\t\t\t\t\"hostname\": \"host123\",\n   926→\t\t\t\t\"hwthreads\": [0, 1, 2, 3]\n   927→\t\t\t}\n   928→\t\t],\n   929→\t\t\"startTime\": 1234567900\n   930→\t}`\n   931→\n   932→\tnatsAPI.handleStartJob(duplicatePayload)\n   933→\tnatsAPI.JobRepository.SyncJobs()\n   934→\ttime.Sleep(100 * time.Millisecond)\n   935→\n   936→\t// Verify only one job exists\n   937→\tjobID := int64(5001)\n   938→\tcluster := \"testcluster\"\n   939→\tjobs, err := natsAPI.JobRepository.FindAll(&jobID, &cluster, nil)\n   940→\tif err != nil && err != sql.ErrNoRows {\n   941→\t\tt.Fatalf(\"unexpected error: %v\", err)\n   942→\t}\n   943→\n   944→\tif len(jobs) != 1 {\n   945→\t\tt.Errorf(\"expected 1 job, got %d\", len(jobs))\n   946→\t}\n   947→}\n   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This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"database/sql\"\n    11→\t\"encoding/json\"\n    12→\t\"fmt\"\n    13→\t\"slices\"\n    14→\t\"sort\"\n    15→\t\"strings\"\n    16→\t\"sync\"\n    17→\t\"time\"\n    18→\n    19→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    20→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n    23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    24→\tsq \"github.com/Masterminds/squirrel\"\n    25→\t\"github.com/jmoiron/sqlx\"\n    26→)\n    27→\n    28→var (\n    29→\tnodeRepoOnce     sync.Once\n    30→\tnodeRepoInstance *NodeRepository\n    31→)\n    32→\n    33→type NodeRepository struct {\n    34→\tDB        *sqlx.DB\n    35→\tstmtCache *sq.StmtCache\n    36→\tcache     *lrucache.Cache\n    37→\tdriver    string\n    38→}\n    39→\n    40→func GetNodeRepository() *NodeRepository {\n    41→\tnodeRepoOnce.Do(func() {\n    42→\t\tdb := GetConnection()\n    43→\n    44→\t\tnodeRepoInstance = &NodeRepository{\n    45→\t\t\tDB:     db.DB,\n    46→\t\t\tdriver: db.Driver,\n    47→\n    48→\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n    49→\t\t\tcache:     lrucache.New(repoConfig.CacheSize),\n    50→\t\t}\n    51→\t})\n    52→\treturn nodeRepoInstance\n    53→}\n    54→\n    55→// latestStateCondition returns a squirrel expression that restricts node_state\n    56→// rows to the latest per node_id using a correlated subquery.\n    57→// Requires the query to join node and node_state tables.\n    58→func latestStateCondition() sq.Sqlizer {\n    59→\treturn sq.Expr(\n    60→\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n    61→\t)\n    62→}\n    63→\n    64→// applyNodeFilters applies common NodeFilter conditions to a query that joins\n    65→// the node and node_state tables with latestStateCondition.\n    66→func applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n    67→\tfor _, f := range filters {\n    68→\t\tif f.Cluster != nil {\n    69→\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n    70→\t\t}\n    71→\t\tif f.SubCluster != nil {\n    72→\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n    73→\t\t}\n    74→\t\tif f.Hostname != nil {\n    75→\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n    76→\t\t}\n    77→\t\tif f.SchedulerState != nil {\n    78→\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n    79→\t\t}\n    80→\t\tif f.HealthState != nil {\n    81→\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n    82→\t\t}\n    83→\t}\n    84→\treturn query\n    85→}\n    86→\n    87→func (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n    88→\tstart := time.Now()\n    89→\n    90→\tRawMetaData := make([]byte, 0)\n    91→\n    92→\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n    93→\t\tWhere(\"node.hostname = ?\", hostname).\n    94→\t\tWhere(\"node.cluster = ?\", cluster).\n    95→\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n    96→\t\tcclog.Warn(\"Error while scanning for node metadata\")\n    97→\t\treturn nil, err\n    98→\t}\n    99→\n   100→\tif len(RawMetaData) == 0 {\n   101→\t\treturn nil, nil\n   102→\t}\n   103→\n   104→\tMetaData := make(map[string]string)\n   105→\n   106→\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n   107→\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n   108→\t\treturn nil, err\n   109→\t}\n   110→\n   111→\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n   112→\treturn MetaData, nil\n   113→}\n   114→\n   115→func (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n   116→\tnode := &schema.Node{}\n   117→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   118→\t\t\"node_state.node_state\", \"node_state.health_state\").\n   119→\t\tFrom(\"node\").\n   120→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   121→\t\tWhere(latestStateCondition()).\n   122→\t\tWhere(\"node.hostname = ?\", hostname).\n   123→\t\tWhere(\"node.cluster = ?\", cluster).\n   124→\t\tRunWith(r.DB).\n   125→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n   126→\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n   127→\t\treturn nil, err\n   128→\t}\n   129→\n   130→\tif withMeta {\n   131→\t\tvar err error\n   132→\t\tvar meta map[string]string\n   133→\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n   134→\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n   135→\t\t\treturn nil, err\n   136→\t\t}\n   137→\t\tnode.MetaData = meta\n   138→\t}\n   139→\n   140→\treturn node, nil\n   141→}\n   142→\n   143→func (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n   144→\tnode := &schema.Node{}\n   145→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   146→\t\t\"node_state.node_state\", \"node_state.health_state\").\n   147→\t\tFrom(\"node\").\n   148→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   149→\t\tWhere(latestStateCondition()).\n   150→\t\tWhere(\"node.id = ?\", id)."}]},"uuid":"50877ff3-fb5a-40b2-a248-65a926339f90","timestamp":"2026-03-16T10:57:23.138Z"},"type":"agent_progress","prompt":"","agentId":"a23b8dfea9f3e3990"},"toolUseID":"agent_msg_01EXD5whwUKTXYWf6KEzAhuw","parentToolUseID":"toolu_01QACQnKJXcMpNDTm1Cyj6ZT","uuid":"d700a380-546f-4d80-a000-583eda2cc2c4","timestamp":"2026-03-16T10:57:23.190Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
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+{"parentUuid":"d3d66bde-a2ab-4110-af32-eb2fb659f591","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017fnMrsukePgyB3SPRzxKoB","type":"tool_result","content":"   245→}\n   246→\n   247→// NodeStateUpdate holds the data needed to update one node's state in a batch operation.\n   248→type NodeStateUpdate struct {\n   249→\tHostname  string\n   250→\tCluster   string\n   251→\tNodeState *schema.NodeStateDB\n   252→}\n   253→\n   254→// BatchUpdateNodeStates inserts node state rows for multiple nodes in a single transaction.\n   255→// For each node, it looks up (or creates) the node row, then inserts the state row.\n   256→// This reduces lock acquisitions from 2*N to 1 for N nodes.\n   257→func (r *NodeRepository) BatchUpdateNodeStates(updates []NodeStateUpdate) error {\n   258→\ttx, err := r.DB.Beginx()\n   259→\tif err != nil {\n   260→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: begin transaction: %w\", err)\n   261→\t}\n   262→\tdefer tx.Rollback()\n   263→\n   264→\tstmtLookup, err := tx.Preparex(\"SELECT id FROM node WHERE hostname = ? AND cluster = ?\")\n   265→\tif err != nil {\n   266→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare lookup: %w\", err)\n   267→\t}\n   268→\tdefer stmtLookup.Close()\n   269→\n   270→\tstmtInsertNode, err := tx.PrepareNamed(NamedNodeInsert)\n   271→\tif err != nil {\n   272→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare node insert: %w\", err)\n   273→\t}\n   274→\tdefer stmtInsertNode.Close()\n   275→\n   276→\tstmtInsertState, err := tx.PrepareNamed(NamedNodeStateInsert)\n   277→\tif err != nil {\n   278→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare state insert: %w\", err)\n   279→\t}\n   280→\tdefer stmtInsertState.Close()\n   281→\n   282→\tfor _, u := range updates {\n   283→\t\tvar id int64\n   284→\t\tif err := stmtLookup.QueryRow(u.Hostname, u.Cluster).Scan(&id); err != nil {\n   285→\t\t\tif err == sql.ErrNoRows {\n   286→\t\t\t\tsubcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)\n   287→\t\t\t\tif scErr != nil {\n   288→\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: subcluster lookup for '%s' in '%s': %v\", u.Hostname, u.Cluster, scErr)\n   289→\t\t\t\t\tcontinue\n   290→\t\t\t\t}\n   291→\t\t\t\tnode := schema.NodeDB{\n   292→\t\t\t\t\tHostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,\n   293→\t\t\t\t}\n   294→\t\t\t\tres, insertErr := stmtInsertNode.Exec(&node)\n   295→\t\t\t\tif insertErr != nil {\n   296→\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)\n   297→\t\t\t\t\tcontinue\n   298→\t\t\t\t}\n   299→\t\t\t\tid, _ = res.LastInsertId()\n   300→\t\t\t} else {\n   301→\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: lookup node '%s': %v\", u.Hostname, err)\n   302→\t\t\t\tcontinue\n   303→\t\t\t}\n   304→\t\t}\n   305→\n   306→\t\tu.NodeState.NodeID = id\n   307→\t\tif _, err := stmtInsertState.Exec(u.NodeState); err != nil {\n   308→\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert state for '%s': %v\", u.Hostname, err)\n   309→\t\t}\n   310→\t}\n   311→\n   312→\tif err := tx.Commit(); err != nil {\n   313→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: commit: %w\", err)\n   314→\t}\n   315→\treturn nil\n   316→}\n   317→\n   318→// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n   319→// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n   320→// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n   321→// \t\treturn err\n   322→// \t}\n   323→//\n   324→// \treturn nil\n   325→// }\n   326→\n   327→// NodeStateWithNode combines a node state row with denormalized node info.\n   328→type NodeStateWithNode struct {\n   329→\tID              int64  `db:\"id\"`\n   330→\tTimeStamp       int64  `db:\"time_stamp\"`\n   331→\tNodeState       string `db:\"node_state\"`\n   332→\tHealthState     string `db:\"health_state\"`\n   333→\tHealthMetrics   string `db:\"health_metrics\"`\n   334→\tCpusAllocated   int    `db:\"cpus_allocated\"`\n   335→\tMemoryAllocated int64  `db:\"memory_allocated\"`\n   336→\tGpusAllocated   int    `db:\"gpus_allocated\"`\n   337→\tJobsRunning     int    `db:\"jobs_running\"`\n   338→\tHostname        string `db:\"hostname\"`\n   339→\tCluster         string `db:\"cluster\"`\n   340→\tSubCluster      string `db:\"subcluster\"`\n   341→}\n   342→\n   343→// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n   344→// joined with node info for denormalized archiving."}]},"uuid":"f98ec5c2-7a3d-4828-aa2f-60a57eaea445","timestamp":"2026-03-16T10:57:24.896Z"},"type":"agent_progress","prompt":"","agentId":"a23b8dfea9f3e3990"},"toolUseID":"agent_msg_01EXD5whwUKTXYWf6KEzAhuw","parentToolUseID":"toolu_01QACQnKJXcMpNDTm1Cyj6ZT","uuid":"11414535-6c34-49c2-b659-815e84892313","timestamp":"2026-03-16T10:57:24.908Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
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+{"parentUuid":"c885186d-d4f8-4d60-90ff-a384ea6c5e29","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012Qc4tf8ijy7NCDnWPcgYTE","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-lib.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package schema\n     7→\n     8→// SchedulerState represents the current state of a node in the HPC job scheduler.\n     9→// States typically reflect SLURM/PBS node states.\n    10→type SchedulerState string\n    11→\n    12→const (\n    13→\tNodeStateAllocated SchedulerState = \"allocated\" // Node is fully allocated to jobs\n    14→\tNodeStateReserved  SchedulerState = \"reserved\"  // Node is reserved but not yet allocated\n    15→\tNodeStateIdle      SchedulerState = \"idle\"      // Node is available for jobs\n    16→\tNodeStateMixed     SchedulerState = \"mixed\"     // Node is partially allocated\n    17→\tNodeStateDown      SchedulerState = \"down\"      // Node is down/offline\n    18→\tNodeStateUnknown   SchedulerState = \"unknown\"   // Node state unknown\n    19→)\n    20→\n    21→// MonitoringState indicates the health monitoring status of a node.\n    22→// Reflects whether metric collection is working correctly.\n    23→type MonitoringState string\n    24→\n    25→const (\n    26→\tMonitoringStateFull    MonitoringState = \"full\"    // All metrics being collected successfully\n    27→\tMonitoringStatePartial MonitoringState = \"partial\" // Some metrics missing\n    28→\tMonitoringStateFailed  MonitoringState = \"failed\"  // Metric collection failing\n    29→)\n    30→\n    31→// Node represents the current state and resource utilization of a compute node.\n    32→//\n    33→// Combines scheduler state with monitoring health and current resource allocation.\n    34→// Used for displaying node status in dashboards and tracking node utilization.\n    35→type Node struct {\n    36→\tHostname        string              `json:\"hostname\"`        // Node hostname\n    37→\tCluster         string              `json:\"cluster\"`         // Cluster name\n    38→\tSubCluster      string              `json:\"subCluster\"`      // Subcluster name\n    39→\tMetaData        map[string]string   `json:\"metaData\"`        // Additional metadata\n    40→\tHealthData      map[string][]string `json:\"healthData\"`      // Details about available metrics per node\n    41→\tNodeState       SchedulerState      `json:\"nodeState\"`       // Scheduler/resource manager state\n    42→\tHealthState     MonitoringState     `json:\"healthState\"`     // Monitoring system health\n    43→\tCpusAllocated   int                 `json:\"cpusAllocated\"`   // Number of allocated CPUs\n    44→\tMemoryAllocated int                 `json:\"memoryAllocated\"` // Allocated memory in MB\n    45→\tGpusAllocated   int                 `json:\"gpusAllocated\"`   // Number of allocated GPUs\n    46→\tJobsRunning     int                 `json:\"jobsRunning\"`     // Number of jobs running on this node\n    47→}\n    48→\n    49→// NodePayload is the request body format for the node state REST API.\n    50→// Used when updateing node states from external monitoring or scheduler systems.\n    51→type NodePayload struct {\n    52→\tHostname        string   `json:\"hostname\"`        // Node hostname\n    53→\tStates          []string `json:\"states\"`          // State strings (flexible format)\n    54→\tCpusAllocated   int      `json:\"cpusAllocated\"`   // Number of allocated CPUs\n    55→\tMemoryAllocated int64    `json:\"memoryAllocated\"` // Allocated memory in MB\n    56→\tGpusAllocated   int      `json:\"gpusAllocated\"`   // Number of allocated GPUs\n    57→\tJobsRunning     int      `json:\"jobsRunning\"`     // Number of running jobs\n    58→}\n    59→\n    60→// NodeDB is the database model for the node table.\n    61→// Stores static node configuration and metadata.\n    62→type NodeDB struct {\n    63→\tID          int64  `json:\"id\" db:\"id\"`                                // Database ID\n    64→\tHostname    string `json:\"hostname\" db:\"hostname\" example:\"fritz\"`    // Node hostname\n    65→\tCluster     string `json:\"cluster\" db:\"cluster\" example:\"fritz\"`      // Cluster name\n    66→\tSubCluster  string `json:\"subCluster\" db:\"subcluster\" example:\"main\"` // Subcluster name\n    67→\tRawMetaData []byte `json:\"-\" db:\"meta_data\"`                          // Metadata as JSON blob\n    68→}\n    69→\n    70→// NodeStateDB is the database model for the node_state table.\n    71→// Stores time-stamped snapshots of node state and resource allocation.\n    72→type NodeStateDB struct {\n    73→\tID              int64           `json:\"id\" db:\"id\"`                                                                                                         // Database ID\n    74→\tTimeStamp       int64           `json:\"timeStamp\" db:\"time_stamp\" example:\"1649723812\"`                                                                     // Unix timestamp\n    75→\tNodeState       SchedulerState  `json:\"nodeState\" db:\"node_state\" example:\"completed\" enums:\"completed,failed,cancelled,stopped,timeout,out_of_memory\"`     // Scheduler state\n    76→\tHealthState     MonitoringState `json:\"healthState\" db:\"health_state\" example:\"completed\" enums:\"completed,failed,cancelled,stopped,timeout,out_of_memory\"` // Monitoring health\n    77→\tHealthMetrics   string          `json:\"healthMetrics\" db:\"health_metrics\"`                                                                                  // JSON: {\"missing\":[...],\"degraded\":[...]}\n    78→\tCpusAllocated   int             `json:\"cpusAllocated\" db:\"cpus_allocated\"`                                                                                  // Allocated CPUs\n    79→\tMemoryAllocated int64           `json:\"memoryAllocated\" db:\"memory_allocated\"`                                                                              // Allocated memory (MB)\n    80→\tGpusAllocated   int             `json:\"gpusAllocated\" db:\"gpus_allocated\"`                                                                                  // Allocated GPUs\n    81→\tJobsRunning     int             `json:\"jobsRunning\" db:\"jobs_running\" example:\"12\"`                                                                         // Running jobs\n    82→\tNodeID          int64           `json:\"_\" db:\"node_id\"`                                                                                                     // Foreign key to NodeDB\n    83→}\n    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+{"parentUuid":"28ae95b6-3b29-485b-b7d6-72dbed7a8747","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RR57EbwNyUmykExBrL5mPT","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-lib.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package schema\n     7→\n     8→// SchedulerState represents the current state of a node in the HPC job scheduler.\n     9→// States typically reflect SLURM/PBS node states.\n    10→type SchedulerState string\n    11→\n    12→const (\n    13→\tNodeStateAllocated SchedulerState = \"allocated\" // Node is fully allocated to jobs\n    14→\tNodeStateReserved  SchedulerState = \"reserved\"  // Node is reserved but not yet allocated\n    15→\tNodeStateIdle      SchedulerState = \"idle\"      // Node is available for jobs\n    16→\tNodeStateMixed     SchedulerState = \"mixed\"     // Node is partially allocated\n    17→\tNodeStateDown      SchedulerState = \"down\"      // Node is down/offline\n    18→\tNodeStateUnknown   SchedulerState = \"unknown\"   // Node state unknown\n    19→)\n    20→\n    21→// MonitoringState indicates the health monitoring status of a node.\n    22→// Reflects whether metric collection is working correctly.\n    23→type MonitoringState string\n    24→\n    25→const (\n    26→\tMonitoringStateFull    MonitoringState = \"full\"    // All metrics being collected successfully\n    27→\tMonitoringStatePartial MonitoringState = \"partial\" // Some metrics missing\n    28→\tMonitoringStateFailed  MonitoringState = \"failed\"  // Metric collection failing\n    29→)\n    30→\n    31→// Node represents the current state and resource utilization of a compute node.\n    32→//\n    33→// Combines scheduler state with monitoring health and current resource allocation.\n    34→// Used for displaying node status in dashboards and tracking node utilization.\n    35→type Node struct {\n    36→\tHostname        string              `json:\"hostname\"`        // Node hostname\n    37→\tCluster         string              `json:\"cluster\"`         // Cluster name\n    38→\tSubCluster      string              `json:\"subCluster\"`      // Subcluster name\n    39→\tMetaData        map[string]string   `json:\"metaData\"`        // Additional metadata\n    40→\tHealthData      map[string][]string `json:\"healthData\"`      // Details about available metrics per node\n    41→\tNodeState       SchedulerState      `json:\"nodeState\"`       // Scheduler/resource manager state\n    42→\tHealthState     MonitoringState     `json:\"healthState\"`     // Monitoring system health\n    43→\tCpusAllocated   int                 `json:\"cpusAllocated\"`   // Number of allocated CPUs\n    44→\tMemoryAllocated int                 `json:\"memoryAllocated\"` // Allocated memory in MB\n    45→\tGpusAllocated   int                 `json:\"gpusAllocated\"`   // Number of allocated GPUs\n    46→\tJobsRunning     int                 `json:\"jobsRunning\"`     // Number of jobs running on this node\n    47→}\n    48→\n    49→// NodePayload is the request body format for the node state REST API.\n    50→// Used when updateing node states from external monitoring or scheduler systems.\n    51→type NodePayload struct {\n    52→\tHostname        string   `json:\"hostname\"`        // Node hostname\n    53→\tStates          []string `json:\"states\"`          // State strings (flexible format)\n    54→\tCpusAllocated   int      `json:\"cpusAllocated\"`   // Number of allocated CPUs\n    55→\tMemoryAllocated int64    `json:\"memoryAllocated\"` // Allocated memory in MB\n    56→\tGpusAllocated   int      `json:\"gpusAllocated\"`   // Number of allocated GPUs\n    57→\tJobsRunning     int      `json:\"jobsRunning\"`     // Number of running jobs\n    58→}\n    59→\n    60→// NodeDB is the database model for the node table.\n    61→// Stores static node configuration and metadata.\n    62→type NodeDB struct {\n    63→\tID          int64  `json:\"id\" db:\"id\"`                                // Database ID\n    64→\tHostname    string `json:\"hostname\" db:\"hostname\" example:\"fritz\"`    // Node hostname\n    65→\tCluster     string `json:\"cluster\" db:\"cluster\" example:\"fritz\"`      // Cluster name\n    66→\tSubCluster  string `json:\"subCluster\" db:\"subcluster\" example:\"main\"` // Subcluster name\n    67→\tRawMetaData []byte `json:\"-\" db:\"meta_data\"`                          // Metadata as JSON blob\n    68→}\n    69→\n    70→// NodeStateDB is the database model for the node_state table.\n    71→// Stores time-stamped snapshots of node state and resource allocation.\n    72→type NodeStateDB struct {\n    73→\tID              int64           `json:\"id\" db:\"id\"`                                                                                                         // Database ID\n    74→\tTimeStamp       int64           `json:\"timeStamp\" db:\"time_stamp\" example:\"1649723812\"`                                                                     // Unix timestamp\n    75→\tNodeState       SchedulerState  `json:\"nodeState\" db:\"node_state\" example:\"completed\" enums:\"completed,failed,cancelled,stopped,timeout,out_of_memory\"`     // Scheduler state\n    76→\tHealthState     MonitoringState `json:\"healthState\" db:\"health_state\" example:\"completed\" enums:\"completed,failed,cancelled,stopped,timeout,out_of_memory\"` // Monitoring health\n    77→\tHealthMetrics   string          `json:\"healthMetrics\" db:\"health_metrics\"`                                                                                  // JSON: {\"missing\":[...],\"degraded\":[...]}\n    78→\tCpusAllocated   int             `json:\"cpusAllocated\" db:\"cpus_allocated\"`                                                                                  // Allocated CPUs\n    79→\tMemoryAllocated int64           `json:\"memoryAllocated\" db:\"memory_allocated\"`                                                                              // Allocated memory (MB)\n    80→\tGpusAllocated   int             `json:\"gpusAllocated\" db:\"gpus_allocated\"`                                                                                  // Allocated GPUs\n    81→\tJobsRunning     int             `json:\"jobsRunning\" db:\"jobs_running\" example:\"12\"`                                                                         // Running jobs\n    82→\tNodeID          int64           `json:\"_\" db:\"node_id\"`                                                                                                     // Foreign key to NodeDB\n    83→}\n    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+{"parentUuid":"c8eb6a64-46e2-4eb1-a66e-6e923e30956d","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XqbQccdAGCUXUrzYFykUWu","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package metricdispatch\n     6→\n     7→import (\n     8→\t\"bytes\"\n     9→\t\"context\"\n    10→\t\"encoding/json\"\n    11→\t\"fmt\"\n    12→\t\"time\"\n    13→\n    14→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    15→\tccms \"github.com/ClusterCockpit/cc-backend/internal/metricstoreclient\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n    17→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    18→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    19→)\n    20→\n    21→type MetricDataRepository interface {\n    22→\t// Return the JobData for the given job, only with the requested metrics.\n    23→\tLoadData(job *schema.Job,\n    24→\t\tmetrics []string,\n    25→\t\tscopes []schema.MetricScope,\n    26→\t\tctx context.Context,\n    27→\t\tresolution int) (schema.JobData, error)\n    28→\n    29→\t// Return a map of metrics to a map of nodes to the metric statistics of the job. node scope only.\n    30→\tLoadStats(job *schema.Job,\n    31→\t\tmetrics []string,\n    32→\t\tctx context.Context) (map[string]map[string]schema.MetricStatistics, error)\n    33→\n    34→\t// Return a map of metrics to a map of scopes to the scoped metric statistics of the job.\n    35→\tLoadScopedStats(job *schema.Job,\n    36→\t\tmetrics []string,\n    37→\t\tscopes []schema.MetricScope,\n    38→\t\tctx context.Context) (schema.ScopedJobStats, error)\n    39→\n    40→\t// Return a map of hosts to a map of metrics at the requested scopes (currently only node) for that node.\n    41→\tLoadNodeData(cluster string,\n    42→\t\tmetrics, nodes []string,\n    43→\t\tscopes []schema.MetricScope,\n    44→\t\tfrom, to time.Time,\n    45→\t\tctx context.Context) (map[string]map[string][]*schema.JobMetric, error)\n    46→\n    47→\t// Return a map of hosts to a map of metrics to a map of scopes for multiple nodes.\n    48→\tLoadNodeListData(cluster, subCluster string,\n    49→\t\tnodes []string,\n    50→\t\tmetrics []string,\n    51→\t\tscopes []schema.MetricScope,\n    52→\t\tresolution int,\n    53→\t\tfrom, to time.Time,\n    54→\t\tctx context.Context) (map[string]schema.JobData, error)\n    55→\n    56→\t// HealthCheck evaluates the monitoring state for a set of nodes against expected metrics.\n    57→\tHealthCheck(cluster string,\n    58→\t\tnodes []string,\n    59→\t\tmetrics []string) (map[string]metricstore.HealthCheckResult, error)\n    60→}\n    61→\n    62→type CCMetricStoreConfig struct {\n    63→\tScope string `json:\"scope\"`\n    64→\tURL   string `json:\"url\"`\n    65→\tToken string `json:\"token\"`\n    66→}\n    67→\n    68→var metricDataRepos map[string]MetricDataRepository = map[string]MetricDataRepository{}\n    69→\n    70→func Init(rawConfig json.RawMessage) error {\n    71→\tif rawConfig != nil {\n    72→\t\tvar configs []CCMetricStoreConfig\n    73→\t\tconfig.Validate(configSchema, rawConfig)\n    74→\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n    75→\t\tdec.DisallowUnknownFields()\n    76→\t\tif err := dec.Decode(&configs); err != nil {\n    77→\t\t\treturn fmt.Errorf(\"[METRICDISPATCH]> External Metric Store Config Init: Could not decode config file '%s' Error: %s\", rawConfig, err.Error())\n    78→\t\t}\n    79→\n    80→\t\tif len(configs) == 0 {\n    81→\t\t\treturn fmt.Errorf(\"[METRICDISPATCH]> No external metric store configurations found in config file\")\n    82→\t\t}\n    83→\n    84→\t\tfor _, config := range configs {\n    85→\t\t\tmetricDataRepos[config.Scope] = ccms.NewCCMetricStore(config.URL, config.Token)\n    86→\t\t}\n    87→\t}\n    88→\n    89→\treturn nil\n    90→}\n    91→\n    92→func GetMetricDataRepo(cluster string, subcluster string) (MetricDataRepository, error) {\n    93→\tvar repo MetricDataRepository\n    94→\tvar ok bool\n    95→\n    96→\tkey := cluster + \"-\" + subcluster\n    97→\trepo, ok = metricDataRepos[key]\n    98→\n    99→\tif !ok {\n   100→\t\trepo, ok = metricDataRepos[cluster]"}]},"uuid":"49bf4ab6-f7f4-418e-bf95-6f02c8c15436","timestamp":"2026-03-16T10:58:04.844Z"},"type":"agent_progress","prompt":"","agentId":"ab03c542dd3b3a6c0"},"toolUseID":"agent_msg_01EXD5whwUKTXYWf6KEzAhuw","parentToolUseID":"toolu_01X8yQzW7qnoAKt2G4Yh2S2m","uuid":"ddb332f7-1d1d-4647-a0bc-dcab8929d017","timestamp":"2026-03-16T10:58:04.858Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
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+{"parentUuid":"ef246725-b30f-4cce-9371-4fb0f43d35e6","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01E4dk4WKmHMck1TmPbWGAxB","type":"tool_result","content":"   115→\n   116→\treturn repo, nil\n   117→}\n   118→\n   119→// GetHealthCheckRepo returns the MetricDataRepository for performing health checks on a cluster.\n   120→// It uses the same fallback logic as GetMetricDataRepo: cluster → wildcard → internal.\n   121→func GetHealthCheckRepo(cluster string) (MetricDataRepository, error) {\n   122→\treturn GetMetricDataRepo(cluster, \"\")\n   123→}\n   124→"}]},"uuid":"78db6e8b-fb08-45bf-bbbb-9d4dbacf21c9","timestamp":"2026-03-16T10:58:07.760Z"},"type":"agent_progress","prompt":"","agentId":"ab03c542dd3b3a6c0"},"toolUseID":"agent_msg_01EXD5whwUKTXYWf6KEzAhuw","parentToolUseID":"toolu_01X8yQzW7qnoAKt2G4Yh2S2m","uuid":"a9291981-da57-41ee-81b6-5971f84ce494","timestamp":"2026-03-16T10:58:07.876Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
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+{"parentUuid":"4f06cc81-c53b-4e85-a882-39235d7d8b92","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019K1rAG4mDt731AyeZudz9S","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package api provides the REST API layer for ClusterCockpit.\n     7→// It handles HTTP requests for job management, user administration,\n     8→// cluster queries, node state updates, and metrics storage operations.\n     9→// The API supports both JWT token authentication and session-based authentication.\n    10→package api\n    11→\n    12→import (\n    13→\t\"encoding/json\"\n    14→\t\"fmt\"\n    15→\t\"io\"\n    16→\t\"net/http\"\n    17→\t\"os\"\n    18→\t\"path/filepath\"\n    19→\t\"strings\"\n    20→\t\"sync\"\n    21→\n    22→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n    23→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    24→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    25→\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n    26→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    27→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    28→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n    29→\t\"github.com/go-chi/chi/v5\"\n    30→)\n    31→\n    32→// @title                      ClusterCockpit REST API\n    33→// @version                    1.0.0\n    34→// @description                API for batch job control.\n    35→\n    36→// @contact.name               ClusterCockpit Project\n    37→// @contact.url                https://github.com/ClusterCockpit\n    38→// @contact.email              support@clustercockpit.org\n    39→\n    40→// @license.name               MIT License\n    41→// @license.url                https://opensource.org/licenses/MIT\n    42→\n    43→// @host                       localhost:8080\n    44→\n    45→// @securityDefinitions.apikey ApiKeyAuth\n    46→// @in                         header\n    47→// @name                       X-Auth-Token\n    48→\n    49→const (\n    50→\tnoticeFilePath  = \"./var/notice.txt\"\n    51→\tnoticeFilePerms = 0o644\n    52→\tmaxNoticeLength = 10000 // Maximum allowed notice content length in characters\n    53→)\n    54→\n    55→type RestAPI struct {\n    56→\tJobRepository   *repository.JobRepository\n    57→\tAuthentication  *auth.Authentication\n    58→\tMachineStateDir string\n    59→\t// RepositoryMutex protects job creation operations from race conditions\n    60→\t// when checking for duplicate jobs during startJob API calls.\n    61→\t// It prevents concurrent job starts with the same jobId/cluster/startTime\n    62→\t// from creating duplicate entries in the database.\n    63→\tRepositoryMutex sync.Mutex\n    64→}\n    65→\n    66→// New creates and initializes a new RestAPI instance with configured dependencies.\n    67→func New() *RestAPI {\n    68→\treturn &RestAPI{\n    69→\t\tJobRepository:   repository.GetJobRepository(),\n    70→\t\tMachineStateDir: config.Keys.MachineStateDir,\n    71→\t\tAuthentication:  auth.GetAuthInstance(),\n    72→\t}\n    73→}\n    74→\n    75→// MountAPIRoutes registers REST API endpoints for job and cluster management.\n    76→// These routes use JWT token authentication via the X-Auth-Token header.\n    77→func (api *RestAPI) MountAPIRoutes(r chi.Router) {\n    78→\t// REST API Uses TokenAuth\n    79→\t// User List\n    80→\tr.Get(\"/users/\", api.getUsers)\n    81→\t// Cluster List\n    82→\tr.Get(\"/clusters/\", api.getClusters)\n    83→\t// Slurm node state\n    84→\tr.Post(\"/nodestate/\", api.updateNodeStates)\n    85→\tr.Put(\"/nodestate/\", api.updateNodeStates)\n    86→\t// Job Handler\n    87→\tif config.Keys.APISubjects == nil {\n    88→\t\tcclog.Info(\"Enabling REST start/stop job API\")\n    89→\t\tr.Post(\"/jobs/start_job/\", api.startJob)\n    90→\t\tr.Put(\"/jobs/start_job/\", api.startJob)\n    91→\t\tr.Post(\"/jobs/stop_job/\", api.stopJobByRequest)\n    92→\t\tr.Put(\"/jobs/stop_job/\", api.stopJobByRequest)\n    93→\t}\n    94→\tr.Get(\"/jobs/\", api.getJobs)\n    95→\tr.Get(\"/jobs/used_nodes\", api.getUsedNodes)\n    96→\tr.Post(\"/jobs/tag_job/{id}\", api.tagJob)\n    97→\tr.Patch(\"/jobs/tag_job/{id}\", api.tagJob)\n    98→\tr.Delete(\"/jobs/tag_job/{id}\", api.removeTagJob)\n    99→\tr.Patch(\"/jobs/edit_meta/{id}\", api.editMeta)\n   100→\tr.Patch(\"/jobs/edit_meta/\", api.editMetaByRequest)\n   101→\tr.Get(\"/jobs/metrics/{id}\", api.getJobMetrics)\n   102→\tr.Delete(\"/jobs/delete_job/\", api.deleteJobByRequest)\n   103→\tr.Delete(\"/jobs/delete_job/{id}\", api.deleteJobByID)\n   104→\tr.Delete(\"/jobs/delete_job_before/{ts}\", api.deleteJobBefore)\n   105→\tr.Post(\"/jobs/{id}\", api.getJobByID)\n   106→\tr.Get(\"/jobs/{id}\", api.getCompleteJobByID)\n   107→\n   108→\tr.Delete(\"/tags/\", api.removeTags)\n   109→\n   110→\tif api.MachineStateDir != \"\" {\n   111→\t\tr.Get(\"/machine_state/{cluster}/{host}\", api.getMachineState)\n   112→\t\tr.Put(\"/machine_state/{cluster}/{host}\", api.putMachineState)\n   113→\t\tr.Post(\"/machine_state/{cluster}/{host}\", api.putMachineState)\n   114→\t}\n   115→}\n   116→\n   117→// MountUserAPIRoutes registers user-accessible REST API endpoints.\n   118→// These are limited endpoints for regular users with JWT token authentication.\n   119→func (api *RestAPI) MountUserAPIRoutes(r chi.Router) {\n   120→\t// REST API Uses TokenAuth\n   121→\tr.Get(\"/jobs/\", api.getJobs)\n   122→\tr.Post(\"/jobs/{id}\", api.getJobByID)\n   123→\tr.Get(\"/jobs/{id}\", api.getCompleteJobByID)\n   124→\tr.Get(\"/jobs/metrics/{id}\", api.getJobMetrics)\n   125→}\n   126→\n   127→// MountMetricStoreAPIRoutes registers metric storage API endpoints.\n   128→// These endpoints handle metric data ingestion and health checks with JWT token authentication.\n   129→func (api *RestAPI) MountMetricStoreAPIRoutes(r chi.Router) {\n   130→\t// REST API Uses TokenAuth\n   131→\tr.Post(\"/free\", freeMetrics)\n   132→\tr.Post(\"/write\", writeMetrics)\n   133→\tr.Get(\"/debug\", debugMetrics)\n   134→\tr.Post(\"/healthcheck\", api.updateNodeStates)\n   135→\t// Same endpoints but with trailing slash\n   136→\tr.Post(\"/free/\", freeMetrics)\n   137→\tr.Post(\"/write/\", writeMetrics)\n   138→\tr.Get(\"/debug/\", debugMetrics)\n   139→\tr.Post(\"/healthcheck/\", api.updateNodeStates)\n   140→}\n   141→\n   142→// MountConfigAPIRoutes registers configuration and user management endpoints.\n   143→// These routes use session-based authentication and require admin privileges.\n   144→// Routes use full paths (including /config prefix) to avoid conflicting with\n   145→// the /config page route when registered via Group instead of Route.\n   146→func (api *RestAPI) MountConfigAPIRoutes(r chi.Router) {\n   147→\t// Settings Frontend Uses SessionAuth\n   148→\tif api.Authentication != nil {\n   149→\t\tr.Get(\"/config/roles/\", api.getRoles)\n   150→\t\tr.Post(\"/config/users/\", 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+{"parentUuid":"d396e5c4-7a1e-440b-be25-863f9d8a5a60","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01S6qeY9D2cfNzZ4zXk1TUzZ","type":"tool_result","content":"     1→CREATE TABLE \"node\" (\n     2→    id INTEGER PRIMARY KEY,\n     3→    hostname VARCHAR(255) NOT NULL,\n     4→    cluster VARCHAR(255) NOT NULL,\n     5→    subcluster VARCHAR(255) NOT NULL,\n     6→    meta_data TEXT,          -- JSON\n     7→    UNIQUE (hostname, cluster)\n     8→);\n     9→\n    10→CREATE TABLE \"node_state\" (\n    11→    id INTEGER PRIMARY KEY,\n    12→    time_stamp INTEGER NOT NULL,\n    13→    jobs_running INTEGER DEFAULT 0 NOT NULL,\n    14→    cpus_allocated INTEGER DEFAULT 0 NOT NULL,\n    15→    memory_allocated INTEGER DEFAULT 0 NOT NULL,\n    16→    gpus_allocated INTEGER DEFAULT 0 NOT NULL,\n    17→    node_state VARCHAR(255) NOT NULL\n    18→    CHECK (node_state IN (\n    19→        'allocated', 'reserved', 'idle', 'mixed',\n    20→        'down', 'unknown'\n    21→    )),\n    22→    health_state VARCHAR(255) NOT NULL\n    23→    CHECK (health_state IN (\n    24→        'full', 'partial', 'failed'\n    25→    )),\n    26→    health_metrics TEXT,          -- JSON array of strings\n    27→    node_id INTEGER,\n    28→    FOREIGN KEY (node_id) REFERENCES node (id)\n    29→);\n    30→\n    31→-- Add NEW Indices For New Node Table VARCHAR Fields\n    32→CREATE INDEX IF NOT EXISTS nodes_cluster ON node (cluster);\n    33→CREATE INDEX IF NOT EXISTS nodes_cluster_subcluster ON node (cluster, subcluster);\n    34→\n    35→-- Add NEW Indices For New Node_State Table Fields\n    36→CREATE INDEX IF NOT EXISTS nodestates_timestamp ON node_state (time_stamp);\n    37→CREATE INDEX IF NOT EXISTS nodestates_state_timestamp ON node_state (node_state, time_stamp);\n    38→CREATE INDEX IF NOT EXISTS nodestates_health_timestamp ON node_state (health_state, time_stamp);\n    39→CREATE INDEX IF NOT EXISTS nodestates_nodeid_state ON node_state (node_id, node_state);\n    40→CREATE INDEX IF NOT EXISTS nodestates_nodeid_health ON node_state (node_id, health_state);\n    41→CREATE INDEX IF NOT EXISTS nodestates_nodeid_timestamp ON node_state (node_id, time_stamp DESC);\n    42→\n    43→-- Add NEW Indices For Increased Amounts of Tags\n    44→CREATE INDEX IF NOT EXISTS tags_jobid ON jobtag (job_id);\n    45→CREATE INDEX IF NOT EXISTS tags_tagid ON jobtag (tag_id);\n    46→\n    47→-- Optimize DB index usage\n    48→PRAGMA optimize;"}]},"uuid":"3e47489b-2e19-4cee-8c05-d08f5de5a02b","timestamp":"2026-03-16T10:58:17.932Z"},"type":"agent_progress","prompt":"","agentId":"ab03c542dd3b3a6c0"},"toolUseID":"agent_msg_01EXD5whwUKTXYWf6KEzAhuw","parentToolUseID":"toolu_01X8yQzW7qnoAKt2G4Yh2S2m","uuid":"8f90ac67-d864-496e-ae97-0d96b331e7f3","timestamp":"2026-03-16T10:58:17.940Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
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+{"parentUuid":"e7526e21-d90c-4da4-a25c-a5d113a6adf3","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CNyfRWY2wAN8JaFjHeWfy9","type":"tool_result","content":"   170→}\n   171→\n   172→// ErrorResponse model\n   173→type ErrorResponse struct {\n   174→\t// Statustext of Errorcode\n   175→\tStatus string `json:\"status\"`\n   176→\tError  string `json:\"error\"` // Error Message\n   177→}\n   178→\n   179→// DefaultAPIResponse model\n   180→type DefaultAPIResponse struct {\n   181→\tMessage string `json:\"msg\"`\n   182→}\n   183→\n   184→// handleError writes a standardized JSON error response with the given status code.\n   185→// It logs the error at WARN level and ensures proper Content-Type headers are set.\n   186→func handleError(err error, statusCode int, rw http.ResponseWriter) {\n   187→\tcclog.Warnf(\"REST ERROR : %s\", err.Error())\n   188→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   189→\trw.WriteHeader(statusCode)\n   190→\tif err := json.NewEncoder(rw).Encode(ErrorResponse{\n   191→\t\tStatus: http.StatusText(statusCode),\n   192→\t\tError:  err.Error(),\n   193→\t}); err != nil {\n   194→\t\tcclog.Errorf(\"Failed to encode error response: %v\", err)\n   195→\t}\n   196→}\n   197→\n   198→// decode reads JSON from r into val with strict validation that rejects unknown fields.\n   199→func decode(r io.Reader, val any) error {\n   200→\tdec := json.NewDecoder(r)\n   201→\tdec.DisallowUnknownFields()\n   202→\treturn dec.Decode(val)\n   203→}\n   204→"}]},"uuid":"c239bff8-41ed-4594-94bf-384eb3379621","timestamp":"2026-03-16T10:58:20.968Z"},"type":"agent_progress","prompt":"","agentId":"ab03c542dd3b3a6c0"},"toolUseID":"agent_msg_01EXD5whwUKTXYWf6KEzAhuw","parentToolUseID":"toolu_01X8yQzW7qnoAKt2G4Yh2S2m","uuid":"4ee45f89-f3a1-4164-bbfb-75a181fdab88","timestamp":"2026-03-16T10:58:21.007Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
+{"parentUuid":"4ee45f89-f3a1-4164-bbfb-75a181fdab88","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Agent","command":"entire hooks claude-code post-task"},"parentToolUseID":"toolu_01QACQnKJXcMpNDTm1Cyj6ZT","toolUseID":"toolu_01QACQnKJXcMpNDTm1Cyj6ZT","timestamp":"2026-03-16T10:58:25.388Z","uuid":"cbaba3cb-df99-4795-b4de-abc016016959","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
+{"parentUuid":"3203afb5-ee26-4663-93fb-0bc28379de94","isSidechain":false,"promptId":"c2bc230a-67ed-4f5e-b42f-f832728effa2","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QACQnKJXcMpNDTm1Cyj6ZT","type":"tool_result","content":[{"type":"text","text":"Perfect! Now I have all the information needed. Let me create a comprehensive analysis document.\n\n## Comprehensive Analysis of NATS Node State Handler Implementation\n\nBased on my thorough examination of the codebase, here's the complete analysis of the NATS node state update implementation:\n\n---\n\n### 1. FULL NATS NODE STATE HANDLER IMPLEMENTATION\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go` (lines 380-458)\n\nThe handler consists of two main functions:\n\n#### **handleNodeState** (lines 427-458)\n```\nPurpose: Entry point for NATS node state messages\nProtocol: Receives InfluxDB line protocol encoded messages\nMessage Format: nodestate event=\"{...JSON...}\" <timestamp>\nProcessing: Decodes line protocol, validates message type, routes to processNodestateEvent\n```\n\n#### **processNodestateEvent** (lines 380-425)\n```\nPurpose: Processes the actual node state update logic\nInput: CCMessage object from line protocol decoder\nValidation: Extracts event field, parses JSON\nDatabase Op: Batch updates node states via repository\nLogging: Debug-level logging of update counts\n```\n\n---\n\n### 2. MESSAGE FORMAT SPECIFICATION\n\n**Line Protocol Format:**\n```\nnodestate event=\"{...JSON payload...}\" <timestamp>\n```\n\n**JSON Payload Structure (UpdateNodeStatesRequest):**\nLocation: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go` (lines 23-26)\n\n```go\ntype UpdateNodeStatesRequest struct {\n    Nodes   []schema.NodePayload `json:\"nodes\"`\n    Cluster string               `json:\"cluster\" example:\"fritz\"`\n}\n```\n\n**NodePayload Structure (schema.NodePayload):**\nLocation: `/Users/jan/prg/ClusterCockpit/cc-lib/schema/node.go` (lines 49-58)\n\n```go\ntype NodePayload struct {\n    Hostname        string   `json:\"hostname\"`        // Node hostname\n    States          []string `json:\"states\"`          // State strings (flexible format)\n    CpusAllocated   int      `json:\"cpusAllocated\"`   // Number of allocated CPUs\n    MemoryAllocated int64    `json:\"memoryAllocated\"` // Allocated memory in MB\n    GpusAllocated   int      `json:\"gpusAllocated\"`   // Number of allocated GPUs\n    JobsRunning     int      `json:\"jobsRunning\"`     // Number of running jobs\n}\n```\n\n**Example Message:**\n```\nnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node001\\\",\\\"states\\\":[\\\"allocated\\\"],\\\"cpusAllocated\\\":8,\\\"memoryAllocated\\\":16384,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":1}]}\" 1234567890000000000\n```\n\n---\n\n### 3. VALIDATION AND BUSINESS LOGIC\n\n#### **State Determination (determineState function)**\nLocation: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go` (lines 37-55)\n\nMaps string state values to SchedulerState enum:\n- `\"allocated\"` → `NodeStateAllocated`\n- `\"reserved\"` → `NodeStateReserved`\n- `\"idle\"` → `NodeStateIdle`\n- `\"down\"` → `NodeStateDown`\n- `\"mixed\"` → `NodeStateMixed`\n- Default → `NodeStateUnknown` (case-insensitive matching)\n\n#### **Validation Steps in processNodestateEvent**\n1. **Message Type Check:** Validates message is an \"event\" type (line 383-386)\n2. **JSON Parsing:** Uses `json.NewDecoder` with `DisallowUnknownFields` (line 391-396)\n3. **Line Protocol Validation:** Checks measurement name is \"nodestate\" (line 452-455)\n4. **Error Handling:** Non-fatal errors are logged; processing continues for other nodes\n\n#### **No Health Check Validation**\nUnlike REST API, NATS handler:\n- **Does NOT perform health checks** against metric store\n- **Sets HealthState to `MonitoringStateFull`** unconditionally (line 410)\n- **Does NOT include HealthMetrics** (always nil)\n\n---\n\n### 4. DATABASE OPERATIONS\n\nAll database operations are delegated to `repository.NodeRepository.BatchUpdateNodeStates()`.\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go` (lines 254-316)\n\n#### **NodeStateUpdate Structure:**\n```go\ntype NodeStateUpdate struct {\n    Hostname  string\n    Cluster   string\n    NodeState *schema.NodeStateDB\n}\n```\n\n#### **NodeStateDB Structure (Database Model):**\nLocation: `/Users/jan/prg/ClusterCockpit/cc-lib/schema/node.go` (lines 70-83)\n\n```go\ntype NodeStateDB struct {\n    ID              int64           `db:\"id\"`                // Database ID\n    TimeStamp       int64           `db:\"time_stamp\"`        // Unix timestamp\n    NodeState       SchedulerState  `db:\"node_state\"`        // Scheduler state\n    HealthState     MonitoringState `db:\"health_state\"`      // Monitoring health\n    HealthMetrics   string          `db:\"health_metrics\"`    // JSON health data\n    CpusAllocated   int             `db:\"cpus_allocated\"`    // Allocated CPUs\n    MemoryAllocated int64           `db:\"memory_allocated\"`  // Allocated memory\n    GpusAllocated   int             `db:\"gpus_allocated\"`    // Allocated GPUs\n    JobsRunning     int             `db:\"jobs_running\"`      // Running jobs\n    NodeID          int64           `db:\"node_id\"`           // Foreign key to node table\n}\n```\n\n#### **BatchUpdateNodeStates Transaction Flow:**\n\n1. **Begin Transaction** (line 258)\n2. **Prepare Statements** (lines 264-280):\n   - Node lookup query\n   - Node insert statement\n   - Node state insert statement\n3. **For Each Node Update** (lines 282-310):\n   - **Lookup node** by hostname + cluster\n   - **If not found:**\n     - Get subcluster via `archive.GetSubClusterByNode()`\n     - Create new node row with `NamedNodeInsert`\n   - **If found or created:**\n     - Insert node state row with `NamedNodeStateInsert`\n4. **Commit Transaction** (line 312)\n\n#### **Error Handling:**\n- Individual node errors are logged but don't prevent processing of other nodes\n- Errors logged at `ERROR` level (cclog.Errorf)\n- Transaction continues despite individual node failures\n\n#### **Timestamp Assignment:**\n- Uses `time.Now().Unix()` as the request received time (line 399)\n- This becomes the `TimeStamp` for all node state records in the batch\n\n---\n\n### 5. KEY DIFFERENCES FROM REST IMPLEMENTATION\n\n| Aspect | REST API | NATS API |\n|--------|----------|----------|\n| **Input Protocol** | HTTP POST/PUT with JSON body | NATS message with InfluxDB line protocol |\n| **Health Checks** | YES - performs health checks against metric store | NO - skips health checks entirely |\n| **Health State Value** | Determined from health check results or defaults to \"failed\" | Always set to `MonitoringStateFull` |\n| **Health Metrics** | Populated from health check results | Always empty/nil |\n| **Message Parsing** | Direct JSON decode from HTTP body | Line protocol decode → JSON extraction |\n| **Concurrency** | Single handler | Worker pool (default 2 workers, configurable) |\n| **Response** | HTTP response sent back to client | No response (async, fire-and-forget) |\n| **Error Handling** | Errors returned in HTTP response | Errors logged only, no client notification |\n| **Request Timestamp** | `time.Now().Unix()` at processing time | `time.Now().Unix()` at processing time (same) |\n| **Timeout Handling** | HTTP timeout from HTTP client | Channel-based with configurable concurrency |\n\n---\n\n### 6. CONFIGURATION\n\n**NATS Subject Configuration:**\nLocation: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go` (lines 117-122)\n\n```go\ntype NATSConfig struct {\n    SubjectJobEvent  string `json:\"subject-job-event\"`\n    SubjectNodeState string `json:\"subject-node-state\"`\n    JobConcurrency   int    `json:\"job-concurrency\"`\n    NodeConcurrency  int    `json:\"node-concurrency\"`\n}\n```\n\n**config.json Example:**\n```json\n{\n  \"main\": {\n    \"api-subjects\": {\n      \"subject-node-state\": \"cc.node.state\",\n      \"node-concurrency\": 2\n    }\n  }\n}\n```\n\n**Worker Pool Setup:**\nLocation: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go` (lines 79-109)\n\n```\nDefault Concurrency: 2 node workers, 8 job workers\nConfigurable via: config.Keys.APISubjects.NodeConcurrency\nBuffering: Messages buffered in channels (size = concurrency level)\n```\n\n---\n\n### 7. INTEGRATION POINTS\n\n#### **Subscription Setup:**\nLocation: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go` (lines 125-153)\n\n```\nStartSubscriptions():\n  - Gets NATS client\n  - Subscribes to SubjectNodeState\n  - Routes messages to nodeCh channel\n  - Workers consume messages asynchronously\n```\n\n#### **REST vs NATS Toggle:**\nLocation: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/rest.go` (lines 87-93)\n\nThe REST job start/stop endpoints are disabled when NATS subjects are configured:\n```go\nif config.Keys.APISubjects == nil {\n    cclog.Info(\"Enabling REST start/stop job API\")\n    r.Post(\"/jobs/start_job/\", api.startJob)\n    r.Put(\"/jobs/start_job/\", api.startJob)\n    r.Post(\"/jobs/stop_job/\", api.stopJobByRequest)\n    r.Put(\"/jobs/stop_job/\", api.stopJobByRequest)\n}\n```\n\nThe node state endpoint is **always enabled** (not conditional):\n```go\nr.Post(\"/nodestate/\", api.updateNodeStates)\nr.Put(\"/nodestate/\", api.updateNodeStates)\n```\n\n---\n\n### 8. TESTING COVERAGE\n\nComprehensive test suite in `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats_test.go`:\n\n- **TestNatsHandleNodeState** (lines 589-647): Valid updates, multiple nodes, invalid JSON, empty data\n- **TestNatsHandleNodeStateEdgeCases** (lines 828-876): Missing fields, malformed JSON, unicode, large batches, timestamp handling\n- **TestNatsProcessJobEvent** (lines 649-740): Message routing and validation\n- **TestNatsHandleStartJob** & **TestNatsHandleStopJob**: Job lifecycle tests\n\n---\n\n### SUMMARY\n\nThe NATS node state handler is a **simplified, async version** of the REST endpoint that:\n- Trades **health check coverage** for **performance** (no metric store queries)\n- Uses **worker pool concurrency** for throughput\n- Applies **the same state determination logic** as REST\n- Performs **batch database operations** with transactional safety\n- Logs all errors but continues processing (fire-and-forget semantics)\n- Always marks nodes as `MonitoringStateFull` without validation\n\nThis design is suitable for trusted, internal monitoring systems where the health check is performed elsewhere before sending state updates."},{"type":"text","text":"agentId: a23b8dfea9f3e3990 (for resuming to continue this agent's work if needed)\n<usage>total_tokens: 57779\ntool_uses: 18\nduration_ms: 73543</usage>"}]}]},"uuid":"f8af4b78-f8e9-49ca-a695-0ab60425315c","timestamp":"2026-03-16T10:58:25.388Z","toolUseResult":{"status":"completed","prompt":"Find and thoroughly analyze the NATS implementation for handling node state updates in the cc-backend project. Look in internal/api/nats.go. I need:\n1. The full implementation of the NATS node state handler\n2. The message format it expects\n3. All validation and business logic\n4. Database operations performed\n5. How it differs from the REST implementation\n\nAlso check the config for NATS subjects and any related types/structs.","agentId":"a23b8dfea9f3e3990","content":[{"type":"text","text":"Perfect! Now I have all the information needed. Let me create a comprehensive analysis document.\n\n## Comprehensive Analysis of NATS Node State Handler Implementation\n\nBased on my thorough examination of the codebase, here's the complete analysis of the NATS node state update implementation:\n\n---\n\n### 1. FULL NATS NODE STATE HANDLER IMPLEMENTATION\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go` (lines 380-458)\n\nThe handler consists of two main functions:\n\n#### **handleNodeState** (lines 427-458)\n```\nPurpose: Entry point for NATS node state messages\nProtocol: Receives InfluxDB line protocol encoded messages\nMessage Format: nodestate event=\"{...JSON...}\" <timestamp>\nProcessing: Decodes line protocol, validates message type, routes to processNodestateEvent\n```\n\n#### **processNodestateEvent** (lines 380-425)\n```\nPurpose: Processes the actual node state update logic\nInput: CCMessage object from line protocol decoder\nValidation: Extracts event field, parses JSON\nDatabase Op: Batch updates node states via repository\nLogging: Debug-level logging of update counts\n```\n\n---\n\n### 2. MESSAGE FORMAT SPECIFICATION\n\n**Line Protocol Format:**\n```\nnodestate event=\"{...JSON payload...}\" <timestamp>\n```\n\n**JSON Payload Structure (UpdateNodeStatesRequest):**\nLocation: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go` (lines 23-26)\n\n```go\ntype UpdateNodeStatesRequest struct {\n    Nodes   []schema.NodePayload `json:\"nodes\"`\n    Cluster string               `json:\"cluster\" example:\"fritz\"`\n}\n```\n\n**NodePayload Structure (schema.NodePayload):**\nLocation: `/Users/jan/prg/ClusterCockpit/cc-lib/schema/node.go` (lines 49-58)\n\n```go\ntype NodePayload struct {\n    Hostname        string   `json:\"hostname\"`        // Node hostname\n    States          []string `json:\"states\"`          // State strings (flexible format)\n    CpusAllocated   int      `json:\"cpusAllocated\"`   // Number of allocated CPUs\n    MemoryAllocated int64    `json:\"memoryAllocated\"` // Allocated memory in MB\n    GpusAllocated   int      `json:\"gpusAllocated\"`   // Number of allocated GPUs\n    JobsRunning     int      `json:\"jobsRunning\"`     // Number of running jobs\n}\n```\n\n**Example Message:**\n```\nnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node001\\\",\\\"states\\\":[\\\"allocated\\\"],\\\"cpusAllocated\\\":8,\\\"memoryAllocated\\\":16384,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":1}]}\" 1234567890000000000\n```\n\n---\n\n### 3. VALIDATION AND BUSINESS LOGIC\n\n#### **State Determination (determineState function)**\nLocation: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go` (lines 37-55)\n\nMaps string state values to SchedulerState enum:\n- `\"allocated\"` → `NodeStateAllocated`\n- `\"reserved\"` → `NodeStateReserved`\n- `\"idle\"` → `NodeStateIdle`\n- `\"down\"` → `NodeStateDown`\n- `\"mixed\"` → `NodeStateMixed`\n- Default → `NodeStateUnknown` (case-insensitive matching)\n\n#### **Validation Steps in processNodestateEvent**\n1. **Message Type Check:** Validates message is an \"event\" type (line 383-386)\n2. **JSON Parsing:** Uses `json.NewDecoder` with `DisallowUnknownFields` (line 391-396)\n3. **Line Protocol Validation:** Checks measurement name is \"nodestate\" (line 452-455)\n4. **Error Handling:** Non-fatal errors are logged; processing continues for other nodes\n\n#### **No Health Check Validation**\nUnlike REST API, NATS handler:\n- **Does NOT perform health checks** against metric store\n- **Sets HealthState to `MonitoringStateFull`** unconditionally (line 410)\n- **Does NOT include HealthMetrics** (always nil)\n\n---\n\n### 4. DATABASE OPERATIONS\n\nAll database operations are delegated to `repository.NodeRepository.BatchUpdateNodeStates()`.\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go` (lines 254-316)\n\n#### **NodeStateUpdate Structure:**\n```go\ntype NodeStateUpdate struct {\n    Hostname  string\n    Cluster   string\n    NodeState *schema.NodeStateDB\n}\n```\n\n#### **NodeStateDB Structure (Database Model):**\nLocation: `/Users/jan/prg/ClusterCockpit/cc-lib/schema/node.go` (lines 70-83)\n\n```go\ntype NodeStateDB struct {\n    ID              int64           `db:\"id\"`                // Database ID\n    TimeStamp       int64           `db:\"time_stamp\"`        // Unix timestamp\n    NodeState       SchedulerState  `db:\"node_state\"`        // Scheduler state\n    HealthState     MonitoringState `db:\"health_state\"`      // Monitoring health\n    HealthMetrics   string          `db:\"health_metrics\"`    // JSON health data\n    CpusAllocated   int             `db:\"cpus_allocated\"`    // Allocated CPUs\n    MemoryAllocated int64           `db:\"memory_allocated\"`  // Allocated memory\n    GpusAllocated   int             `db:\"gpus_allocated\"`    // Allocated GPUs\n    JobsRunning     int             `db:\"jobs_running\"`      // Running jobs\n    NodeID          int64           `db:\"node_id\"`           // Foreign key to node table\n}\n```\n\n#### **BatchUpdateNodeStates Transaction Flow:**\n\n1. **Begin Transaction** (line 258)\n2. **Prepare Statements** (lines 264-280):\n   - Node lookup query\n   - Node insert statement\n   - Node state insert statement\n3. **For Each Node Update** (lines 282-310):\n   - **Lookup node** by hostname + cluster\n   - **If not found:**\n     - Get subcluster via `archive.GetSubClusterByNode()`\n     - Create new node row with `NamedNodeInsert`\n   - **If found or created:**\n     - Insert node state row with `NamedNodeStateInsert`\n4. **Commit Transaction** (line 312)\n\n#### **Error Handling:**\n- Individual node errors are logged but don't prevent processing of other nodes\n- Errors logged at `ERROR` level (cclog.Errorf)\n- Transaction continues despite individual node failures\n\n#### **Timestamp Assignment:**\n- Uses `time.Now().Unix()` as the request received time (line 399)\n- This becomes the `TimeStamp` for all node state records in the batch\n\n---\n\n### 5. KEY DIFFERENCES FROM REST IMPLEMENTATION\n\n| Aspect | REST API | NATS API |\n|--------|----------|----------|\n| **Input Protocol** | HTTP POST/PUT with JSON body | NATS message with InfluxDB line protocol |\n| **Health Checks** | YES - performs health checks against metric store | NO - skips health checks entirely |\n| **Health State Value** | Determined from health check results or defaults to \"failed\" | Always set to `MonitoringStateFull` |\n| **Health Metrics** | Populated from health check results | Always empty/nil |\n| **Message Parsing** | Direct JSON decode from HTTP body | Line protocol decode → JSON extraction |\n| **Concurrency** | Single handler | Worker pool (default 2 workers, configurable) |\n| **Response** | HTTP response sent back to client | No response (async, fire-and-forget) |\n| **Error Handling** | Errors returned in HTTP response | Errors logged only, no client notification |\n| **Request Timestamp** | `time.Now().Unix()` at processing time | `time.Now().Unix()` at processing time (same) |\n| **Timeout Handling** | HTTP timeout from HTTP client | Channel-based with configurable concurrency |\n\n---\n\n### 6. CONFIGURATION\n\n**NATS Subject Configuration:**\nLocation: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go` (lines 117-122)\n\n```go\ntype NATSConfig struct {\n    SubjectJobEvent  string `json:\"subject-job-event\"`\n    SubjectNodeState string `json:\"subject-node-state\"`\n    JobConcurrency   int    `json:\"job-concurrency\"`\n    NodeConcurrency  int    `json:\"node-concurrency\"`\n}\n```\n\n**config.json Example:**\n```json\n{\n  \"main\": {\n    \"api-subjects\": {\n      \"subject-node-state\": \"cc.node.state\",\n      \"node-concurrency\": 2\n    }\n  }\n}\n```\n\n**Worker Pool Setup:**\nLocation: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go` (lines 79-109)\n\n```\nDefault Concurrency: 2 node workers, 8 job workers\nConfigurable via: config.Keys.APISubjects.NodeConcurrency\nBuffering: Messages buffered in channels (size = concurrency level)\n```\n\n---\n\n### 7. INTEGRATION POINTS\n\n#### **Subscription Setup:**\nLocation: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go` (lines 125-153)\n\n```\nStartSubscriptions():\n  - Gets NATS client\n  - Subscribes to SubjectNodeState\n  - Routes messages to nodeCh channel\n  - Workers consume messages asynchronously\n```\n\n#### **REST vs NATS Toggle:**\nLocation: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/rest.go` (lines 87-93)\n\nThe REST job start/stop endpoints are disabled when NATS subjects are configured:\n```go\nif config.Keys.APISubjects == nil {\n    cclog.Info(\"Enabling REST start/stop job API\")\n    r.Post(\"/jobs/start_job/\", api.startJob)\n    r.Put(\"/jobs/start_job/\", api.startJob)\n    r.Post(\"/jobs/stop_job/\", api.stopJobByRequest)\n    r.Put(\"/jobs/stop_job/\", api.stopJobByRequest)\n}\n```\n\nThe node state endpoint is **always enabled** (not conditional):\n```go\nr.Post(\"/nodestate/\", api.updateNodeStates)\nr.Put(\"/nodestate/\", api.updateNodeStates)\n```\n\n---\n\n### 8. TESTING COVERAGE\n\nComprehensive test suite in `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats_test.go`:\n\n- **TestNatsHandleNodeState** (lines 589-647): Valid updates, multiple nodes, invalid JSON, empty data\n- **TestNatsHandleNodeStateEdgeCases** (lines 828-876): Missing fields, malformed JSON, unicode, large batches, timestamp handling\n- **TestNatsProcessJobEvent** (lines 649-740): Message routing and validation\n- **TestNatsHandleStartJob** & **TestNatsHandleStopJob**: Job lifecycle tests\n\n---\n\n### SUMMARY\n\nThe NATS node state handler is a **simplified, async version** of the REST endpoint that:\n- Trades **health check coverage** for **performance** (no metric store queries)\n- Uses **worker pool concurrency** for throughput\n- Applies **the same state determination logic** as REST\n- Performs **batch database operations** with transactional safety\n- Logs all errors but continues processing (fire-and-forget semantics)\n- Always marks nodes as `MonitoringStateFull` without validation\n\nThis design is suitable for trusted, internal monitoring systems where the health check is performed elsewhere before sending state updates."}],"totalDurationMs":73543,"totalTokens":57779,"totalToolUseCount":18,"usage":{"input_tokens":2,"cache_creation_input_tokens":1327,"cache_read_input_tokens":53525,"output_tokens":2925,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1327},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"3203afb5-ee26-4663-93fb-0bc28379de94","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
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+{"parentUuid":"b0e68af7-9cdb-43ed-8a32-76f33d8c6a94","isSidechain":false,"promptId":"c2bc230a-67ed-4f5e-b42f-f832728effa2","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01X8yQzW7qnoAKt2G4Yh2S2m","type":"tool_result","content":[{"type":"text","text":"Perfect! Now I have all the information I need. Let me create a comprehensive analysis document:\n\n## Comprehensive Analysis of UpdateNodeStates REST Implementation\n\nBased on my thorough analysis of the cc-backend codebase, here is the complete documentation of the REST implementation for updating node states:\n\n### 1. ENDPOINT REGISTRATION\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/rest.go`\n\nThe UpdateNodeStates endpoint is registered in two places:\n\n1. **MountAPIRoutes()** (line 84-85) - Primary API routes:\n   ```go\n   r.Post(\"/nodestate/\", api.updateNodeStates)\n   r.Put(\"/nodestate/\", api.updateNodeStates)\n   ```\n\n2. **MountMetricStoreAPIRoutes()** (line 134, 139) - Metric store health check:\n   ```go\n   r.Post(\"/healthcheck\", api.updateNodeStates)\n   r.Post(\"/healthcheck/\", api.updateNodeStates)\n   ```\n\nBoth POST and PUT methods are supported with identical behavior.\n\n---\n\n### 2. REQUEST FORMAT / STRUCT\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go` (lines 23-26)\n\n```go\ntype UpdateNodeStatesRequest struct {\n    Nodes   []schema.NodePayload `json:\"nodes\"`\n    Cluster string               `json:\"cluster\" example:\"fritz\"`\n}\n```\n\n**NodePayload structure** (from `/Users/jan/prg/ClusterCockpit/cc-lib/schema/node.go`, lines 51-58):\n\n```go\ntype NodePayload struct {\n    Hostname        string   `json:\"hostname\"`        // Node hostname\n    States          []string `json:\"states\"`          // State strings (flexible format)\n    CpusAllocated   int      `json:\"cpusAllocated\"`   // Number of allocated CPUs\n    MemoryAllocated int64    `json:\"memoryAllocated\"` // Allocated memory in MB\n    GpusAllocated   int      `json:\"gpusAllocated\"`   // Number of allocated GPUs\n    JobsRunning     int      `json:\"jobsRunning\"`     // Number of running jobs\n}\n```\n\n**Example Request:**\n```json\n{\n  \"cluster\": \"fritz\",\n  \"nodes\": [\n    {\n      \"hostname\": \"node001\",\n      \"states\": [\"allocated\"],\n      \"cpusAllocated\": 8,\n      \"memoryAllocated\": 16384,\n      \"gpusAllocated\": 0,\n      \"jobsRunning\": 1\n    }\n  ]\n}\n```\n\n---\n\n### 3. FULL HANDLER IMPLEMENTATION\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go` (lines 57-150)\n\n```go\n// updateNodeStates godoc\n// @summary     Deliver updated Slurm node states\n// @tags Nodestates\n// @description Returns a JSON-encoded list of users.\n// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n// @produce     json\n// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/nodestats/ [post]\nfunc (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n    // Parse request body\n    req := UpdateNodeStatesRequest{}\n    if err := decode(r.Body, &req); err != nil {\n        handleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n            http.StatusBadRequest, rw)\n        return\n    }\n    requestReceived := time.Now().Unix()\n    repo := repository.GetNodeRepository()\n\n    m := make(map[string][]string)\n    metricNames := make(map[string][]string)\n    healthResults := make(map[string]metricstore.HealthCheckResult)\n\n    startMs := time.Now()\n\n    // Step 1: Build nodeList and metricList per subcluster\n    for _, node := range req.Nodes {\n        if sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n            m[sc] = append(m[sc], node.Hostname)\n        }\n    }\n\n    for sc := range m {\n        if sc != \"\" {\n            metricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n            metricNames[sc] = metricListToNames(metricList)\n        }\n    }\n\n    // Step 2: Determine which metric store to query and perform health check\n    healthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n    if err != nil {\n        cclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n    } else {\n        for sc, nl := range m {\n            if sc != \"\" {\n                if results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n                    maps.Copy(healthResults, results)\n                }\n            }\n        }\n    }\n\n    cclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n    startDB := time.Now()\n\n    updates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n    for _, node := range req.Nodes {\n        state := determineState(node.States)\n        healthState := schema.MonitoringStateFailed\n        var healthMetrics string\n        if result, ok := healthResults[node.Hostname]; ok {\n            healthState = result.State\n            healthMetrics = result.HealthMetrics\n        }\n        nodeState := schema.NodeStateDB{\n            TimeStamp:       requestReceived,\n            NodeState:       state,\n            CpusAllocated:   node.CpusAllocated,\n            MemoryAllocated: node.MemoryAllocated,\n            GpusAllocated:   node.GpusAllocated,\n            HealthState:     healthState,\n            HealthMetrics:   healthMetrics,\n            JobsRunning:     node.JobsRunning,\n        }\n        updates = append(updates, repository.NodeStateUpdate{\n            Hostname:  node.Hostname,\n            Cluster:   req.Cluster,\n            NodeState: &nodeState,\n        })\n    }\n\n    if err := repo.BatchUpdateNodeStates(updates); err != nil {\n        cclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n    }\n\n    cclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n}\n```\n\n---\n\n### 4. VALIDATION AND BUSINESS LOGIC\n\n**Step 1: Request Parsing (lines 72-78)**\n- Strict JSON parsing using `decode()` which rejects unknown fields\n- Returns `HTTP 400 BadRequest` if JSON is malformed\n- Uses `http.StatusBadRequest` error handling\n\n**Step 2: Subcluster Mapping (lines 88-93)**\n- For each node in request, determines its subcluster using `archive.GetSubClusterByNode()`\n- Builds map of `subcluster → []hostname` for batch processing\n- Silently skips nodes that can't be resolved to a subcluster\n\n**Step 3: Metric Configuration Lookup (lines 95-100)**\n- For each subcluster, retrieves metric configurations using `archive.GetMetricConfigSubCluster()`\n- Converts metric config map to list of metric names using `metricListToNames()`\n- Builds `metricNames` map for health check queries\n\n**Step 4: Health Check (lines 102-114)**\n- Retrieves health check repository using `metricdispatch.GetHealthCheckRepo()`\n- If no metric store is configured, continues gracefully with warning log\n- For each subcluster, performs health check against all nodes and metrics\n- Results are merged into `healthResults` map by hostname\n\n**Step 5: State Determination (lines 119-127)**\n- For each node, calls `determineState(node.States)` to convert states array to SchedulerState\n- Defaults health state to `schema.MonitoringStateFailed`\n- If health check results exist for the node, uses those health states/metrics\n\n**Helper Functions:**\n\n**determineState()** (lines 38-55):\n```go\nfunc determineState(states []string) schema.SchedulerState {\n    for _, state := range states {\n        switch strings.ToLower(state) {\n        case \"allocated\":\n            return schema.NodeStateAllocated\n        case \"reserved\":\n            return schema.NodeStateReserved\n        case \"idle\":\n            return schema.NodeStateIdle\n        case \"down\":\n            return schema.NodeStateDown\n        case \"mixed\":\n            return schema.NodeStateMixed\n        }\n    }\n    return schema.NodeStateUnknown\n}\n```\n- Case-insensitive matching of state strings\n- Returns first matching known state\n- Defaults to `NodeStateUnknown` if none match\n- Assumes only one state per node\n\n**metricListToNames()** (lines 28-35):\n```go\nfunc metricListToNames(metricList map[string]*schema.Metric) []string {\n    names := make([]string, 0, len(metricList))\n    for name := range metricList {\n        names = append(names, name)\n    }\n    return names\n}\n```\n- Extracts metric names from metric config map\n- Returns unordered list suitable for health check queries\n\n---\n\n### 5. DATABASE OPERATIONS\n\n**NodeStateUpdate Structure** (`/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go`, lines 247-252):\n\n```go\ntype NodeStateUpdate struct {\n    Hostname  string\n    Cluster   string\n    NodeState *schema.NodeStateDB\n}\n```\n\n**BatchUpdateNodeStates()** (lines 254-316 of node.go):\n\nImplements transactional batch insert with the following flow:\n\n```go\nfunc (r *NodeRepository) BatchUpdateNodeStates(updates []NodeStateUpdate) error {\n    // 1. Begin transaction\n    tx, err := r.DB.Beginx()\n    \n    // 2. Prepare three statements within transaction:\n    stmtLookup, err := tx.Preparex(\"SELECT id FROM node WHERE hostname = ? AND cluster = ?\")\n    stmtInsertNode, err := tx.PrepareNamed(NamedNodeInsert)\n    stmtInsertState, err := tx.PrepareNamed(NamedNodeStateInsert)\n    \n    // 3. For each node update:\n    for _, u := range updates {\n        // a. Try to lookup existing node by hostname+cluster\n        var id int64\n        if err := stmtLookup.QueryRow(u.Hostname, u.Cluster).Scan(&id); err != nil {\n            if err == sql.ErrNoRows {\n                // b. If node doesn't exist, look up subcluster and insert new node\n                subcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)\n                if scErr != nil {\n                    cclog.Errorf(\"BatchUpdateNodeStates: subcluster lookup for '%s' in '%s': %v\", u.Hostname, u.Cluster, scErr)\n                    continue\n                }\n                node := schema.NodeDB{\n                    Hostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,\n                }\n                res, insertErr := stmtInsertNode.Exec(&node)\n                if insertErr != nil {\n                    cclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)\n                    continue\n                }\n                id, _ = res.LastInsertId()\n            } else {\n                cclog.Errorf(\"BatchUpdateNodeStates: lookup node '%s': %v\", u.Hostname, err)\n                continue\n            }\n        }\n        \n        // c. Insert node state row with the node_id\n        u.NodeState.NodeID = id\n        if _, err := stmtInsertState.Exec(u.NodeState); err != nil {\n            cclog.Errorf(\"BatchUpdateNodeStates: insert state for '%s': %v\", u.Hostname, err)\n        }\n    }\n    \n    // 4. Commit transaction\n    if err := tx.Commit(); err != nil {\n        return fmt.Errorf(\"BatchUpdateNodeStates: commit: %w\", err)\n    }\n    return nil\n}\n```\n\n**SQL Statements Used:**\n\n**NamedNodeInsert** (lines 176-178):\n```sql\nINSERT INTO node (hostname, cluster, subcluster)\n    VALUES (:hostname, :cluster, :subcluster);\n```\n\n**NamedNodeStateInsert** (lines 199-203):\n```sql\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n    cpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n    VALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n    :cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);\n```\n\n**Database Schema:**\n\n**node table** (migration 10_node-table.up.sql):\n```sql\nCREATE TABLE \"node\" (\n    id INTEGER PRIMARY KEY,\n    hostname VARCHAR(255) NOT NULL,\n    cluster VARCHAR(255) NOT NULL,\n    subcluster VARCHAR(255) NOT NULL,\n    meta_data TEXT,          -- JSON\n    UNIQUE (hostname, cluster)\n);\n```\n\n**node_state table:**\n```sql\nCREATE TABLE \"node_state\" (\n    id INTEGER PRIMARY KEY,\n    time_stamp INTEGER NOT NULL,\n    jobs_running INTEGER DEFAULT 0 NOT NULL,\n    cpus_allocated INTEGER DEFAULT 0 NOT NULL,\n    memory_allocated INTEGER DEFAULT 0 NOT NULL,\n    gpus_allocated INTEGER DEFAULT 0 NOT NULL,\n    node_state VARCHAR(255) NOT NULL\n        CHECK (node_state IN ('allocated', 'reserved', 'idle', 'mixed', 'down', 'unknown')),\n    health_state VARCHAR(255) NOT NULL\n        CHECK (health_state IN ('full', 'partial', 'failed')),\n    health_metrics TEXT,          -- JSON array of strings\n    node_id INTEGER,\n    FOREIGN KEY (node_id) REFERENCES node (id)\n);\n```\n\n**Key Transaction Features:**\n- All node lookups and inserts/state inserts happen within a single transaction\n- Reduces lock acquisitions from 2*N to 1 for N nodes\n- Errors during individual node updates are logged but don't abort the batch\n- Uses prepared statements for efficiency\n- Defers rollback in case of errors\n\n**NodeStateDB Structure** (from schema/node.go, lines 72-83):\n```go\ntype NodeStateDB struct {\n    ID              int64           `db:\"id\"`\n    TimeStamp       int64           `db:\"time_stamp\"` // Unix timestamp (set to requestReceived)\n    NodeState       SchedulerState  `db:\"node_state\"` // allocated/reserved/idle/mixed/down/unknown\n    HealthState     MonitoringState `db:\"health_state\"` // full/partial/failed\n    HealthMetrics   string          `db:\"health_metrics\"` // JSON: {\"missing\":[...],\"degraded\":[...]}\n    CpusAllocated   int             `db:\"cpus_allocated\"`\n    MemoryAllocated int64           `db:\"memory_allocated\"`\n    GpusAllocated   int             `db:\"gpus_allocated\"`\n    JobsRunning     int             `db:\"jobs_running\"`\n    NodeID          int64           `db:\"node_id\"` // Foreign key to node(id)\n}\n```\n\n---\n\n### 6. HELPER FUNCTIONS CALLED\n\n1. **decode(r.Body, &req)** - Parses JSON request body with strict validation\n2. **repository.GetNodeRepository()** - Returns singleton NodeRepository instance\n3. **archive.GetSubClusterByNode(cluster, hostname)** - Determines subcluster from topology\n4. **archive.GetMetricConfigSubCluster(cluster, sc)** - Retrieves metric configurations\n5. **metricListToNames(metricList)** - Converts metric map to name list\n6. **metricdispatch.GetHealthCheckRepo(cluster)** - Gets health check repository for metric store\n7. **healthRepo.HealthCheck(cluster, nodes, metrics)** - Performs health check on metric store\n8. **determineState(states []string)** - Converts state string array to SchedulerState enum\n9. **repo.BatchUpdateNodeStates(updates)** - Executes transactional batch database insert\n10. **handleError()** - Returns standardized JSON error response\n\n---\n\n### 7. ERROR RESPONSES\n\n**ErrorResponse Structure**:\n```go\ntype ErrorResponse struct {\n    Status string `json:\"status\"` // HTTP status text\n    Error  string `json:\"error\"`  // Error message\n}\n```\n\n**HTTP Status Codes:**\n- **400 Bad Request** - JSON parsing failed\n- **401 Unauthorized** - No authentication token or invalid token\n- **403 Forbidden** - User lacks required permissions\n- **500 Internal Server Error** - Database operations fail\n\n**Note:** The current implementation does NOT return an error response on successful completion. It logs errors but doesn't fail the HTTP request when individual node updates fail during batch operations.\n\n---\n\n### 8. TIMING AND LOGGING\n\nThe endpoint records performance metrics:\n- `Timer updateNodeStates, MemStore HealthCheck: <duration>` - Health check query time\n- `Timer updateNodeStates, SQLite Inserts: <duration>` - Database transaction time\n- Error logging at WARN level for missing metric stores\n- Error logging at ERROR level for individual node failures during batch operations\n- Debug logging for state update completion\n\n---\n\nThis comprehensive implementation provides efficient batch processing of node state updates with transaction support, health check integration, and graceful error handling."},{"type":"text","text":"agentId: ab03c542dd3b3a6c0 (for resuming to continue this agent's work if needed)\n<usage>total_tokens: 53155\ntool_uses: 25\nduration_ms: 103232</usage>"}]}]},"uuid":"d8b4a287-89e0-4626-92f5-fad9bc183b03","timestamp":"2026-03-16T10:58:53.249Z","toolUseResult":{"status":"completed","prompt":"Find and thoroughly analyze the REST implementation for updating node states in the cc-backend project. Look in internal/api/ for the REST handler. I need:\n1. The full implementation of the UpdateNodeStates REST endpoint\n2. The request format/struct it expects\n3. All validation and business logic\n4. Database operations performed\n5. Any helper functions called\n\nSearch in internal/api/rest.go and related files. Also check internal/repository/ for any node-related repository methods used.","agentId":"ab03c542dd3b3a6c0","content":[{"type":"text","text":"Perfect! Now I have all the information I need. Let me create a comprehensive analysis document:\n\n## Comprehensive Analysis of UpdateNodeStates REST Implementation\n\nBased on my thorough analysis of the cc-backend codebase, here is the complete documentation of the REST implementation for updating node states:\n\n### 1. ENDPOINT REGISTRATION\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/rest.go`\n\nThe UpdateNodeStates endpoint is registered in two places:\n\n1. **MountAPIRoutes()** (line 84-85) - Primary API routes:\n   ```go\n   r.Post(\"/nodestate/\", api.updateNodeStates)\n   r.Put(\"/nodestate/\", api.updateNodeStates)\n   ```\n\n2. **MountMetricStoreAPIRoutes()** (line 134, 139) - Metric store health check:\n   ```go\n   r.Post(\"/healthcheck\", api.updateNodeStates)\n   r.Post(\"/healthcheck/\", api.updateNodeStates)\n   ```\n\nBoth POST and PUT methods are supported with identical behavior.\n\n---\n\n### 2. REQUEST FORMAT / STRUCT\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go` (lines 23-26)\n\n```go\ntype UpdateNodeStatesRequest struct {\n    Nodes   []schema.NodePayload `json:\"nodes\"`\n    Cluster string               `json:\"cluster\" example:\"fritz\"`\n}\n```\n\n**NodePayload structure** (from `/Users/jan/prg/ClusterCockpit/cc-lib/schema/node.go`, lines 51-58):\n\n```go\ntype NodePayload struct {\n    Hostname        string   `json:\"hostname\"`        // Node hostname\n    States          []string `json:\"states\"`          // State strings (flexible format)\n    CpusAllocated   int      `json:\"cpusAllocated\"`   // Number of allocated CPUs\n    MemoryAllocated int64    `json:\"memoryAllocated\"` // Allocated memory in MB\n    GpusAllocated   int      `json:\"gpusAllocated\"`   // Number of allocated GPUs\n    JobsRunning     int      `json:\"jobsRunning\"`     // Number of running jobs\n}\n```\n\n**Example Request:**\n```json\n{\n  \"cluster\": \"fritz\",\n  \"nodes\": [\n    {\n      \"hostname\": \"node001\",\n      \"states\": [\"allocated\"],\n      \"cpusAllocated\": 8,\n      \"memoryAllocated\": 16384,\n      \"gpusAllocated\": 0,\n      \"jobsRunning\": 1\n    }\n  ]\n}\n```\n\n---\n\n### 3. FULL HANDLER IMPLEMENTATION\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go` (lines 57-150)\n\n```go\n// updateNodeStates godoc\n// @summary     Deliver updated Slurm node states\n// @tags Nodestates\n// @description Returns a JSON-encoded list of users.\n// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n// @produce     json\n// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/nodestats/ [post]\nfunc (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n    // Parse request body\n    req := UpdateNodeStatesRequest{}\n    if err := decode(r.Body, &req); err != nil {\n        handleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n            http.StatusBadRequest, rw)\n        return\n    }\n    requestReceived := time.Now().Unix()\n    repo := repository.GetNodeRepository()\n\n    m := make(map[string][]string)\n    metricNames := make(map[string][]string)\n    healthResults := make(map[string]metricstore.HealthCheckResult)\n\n    startMs := time.Now()\n\n    // Step 1: Build nodeList and metricList per subcluster\n    for _, node := range req.Nodes {\n        if sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n            m[sc] = append(m[sc], node.Hostname)\n        }\n    }\n\n    for sc := range m {\n        if sc != \"\" {\n            metricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n            metricNames[sc] = metricListToNames(metricList)\n        }\n    }\n\n    // Step 2: Determine which metric store to query and perform health check\n    healthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n    if err != nil {\n        cclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n    } else {\n        for sc, nl := range m {\n            if sc != \"\" {\n                if results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n                    maps.Copy(healthResults, results)\n                }\n            }\n        }\n    }\n\n    cclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n    startDB := time.Now()\n\n    updates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n    for _, node := range req.Nodes {\n        state := determineState(node.States)\n        healthState := schema.MonitoringStateFailed\n        var healthMetrics string\n        if result, ok := healthResults[node.Hostname]; ok {\n            healthState = result.State\n            healthMetrics = result.HealthMetrics\n        }\n        nodeState := schema.NodeStateDB{\n            TimeStamp:       requestReceived,\n            NodeState:       state,\n            CpusAllocated:   node.CpusAllocated,\n            MemoryAllocated: node.MemoryAllocated,\n            GpusAllocated:   node.GpusAllocated,\n            HealthState:     healthState,\n            HealthMetrics:   healthMetrics,\n            JobsRunning:     node.JobsRunning,\n        }\n        updates = append(updates, repository.NodeStateUpdate{\n            Hostname:  node.Hostname,\n            Cluster:   req.Cluster,\n            NodeState: &nodeState,\n        })\n    }\n\n    if err := repo.BatchUpdateNodeStates(updates); err != nil {\n        cclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n    }\n\n    cclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n}\n```\n\n---\n\n### 4. VALIDATION AND BUSINESS LOGIC\n\n**Step 1: Request Parsing (lines 72-78)**\n- Strict JSON parsing using `decode()` which rejects unknown fields\n- Returns `HTTP 400 BadRequest` if JSON is malformed\n- Uses `http.StatusBadRequest` error handling\n\n**Step 2: Subcluster Mapping (lines 88-93)**\n- For each node in request, determines its subcluster using `archive.GetSubClusterByNode()`\n- Builds map of `subcluster → []hostname` for batch processing\n- Silently skips nodes that can't be resolved to a subcluster\n\n**Step 3: Metric Configuration Lookup (lines 95-100)**\n- For each subcluster, retrieves metric configurations using `archive.GetMetricConfigSubCluster()`\n- Converts metric config map to list of metric names using `metricListToNames()`\n- Builds `metricNames` map for health check queries\n\n**Step 4: Health Check (lines 102-114)**\n- Retrieves health check repository using `metricdispatch.GetHealthCheckRepo()`\n- If no metric store is configured, continues gracefully with warning log\n- For each subcluster, performs health check against all nodes and metrics\n- Results are merged into `healthResults` map by hostname\n\n**Step 5: State Determination (lines 119-127)**\n- For each node, calls `determineState(node.States)` to convert states array to SchedulerState\n- Defaults health state to `schema.MonitoringStateFailed`\n- If health check results exist for the node, uses those health states/metrics\n\n**Helper Functions:**\n\n**determineState()** (lines 38-55):\n```go\nfunc determineState(states []string) schema.SchedulerState {\n    for _, state := range states {\n        switch strings.ToLower(state) {\n        case \"allocated\":\n            return schema.NodeStateAllocated\n        case \"reserved\":\n            return schema.NodeStateReserved\n        case \"idle\":\n            return schema.NodeStateIdle\n        case \"down\":\n            return schema.NodeStateDown\n        case \"mixed\":\n            return schema.NodeStateMixed\n        }\n    }\n    return schema.NodeStateUnknown\n}\n```\n- Case-insensitive matching of state strings\n- Returns first matching known state\n- Defaults to `NodeStateUnknown` if none match\n- Assumes only one state per node\n\n**metricListToNames()** (lines 28-35):\n```go\nfunc metricListToNames(metricList map[string]*schema.Metric) []string {\n    names := make([]string, 0, len(metricList))\n    for name := range metricList {\n        names = append(names, name)\n    }\n    return names\n}\n```\n- Extracts metric names from metric config map\n- Returns unordered list suitable for health check queries\n\n---\n\n### 5. DATABASE OPERATIONS\n\n**NodeStateUpdate Structure** (`/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go`, lines 247-252):\n\n```go\ntype NodeStateUpdate struct {\n    Hostname  string\n    Cluster   string\n    NodeState *schema.NodeStateDB\n}\n```\n\n**BatchUpdateNodeStates()** (lines 254-316 of node.go):\n\nImplements transactional batch insert with the following flow:\n\n```go\nfunc (r *NodeRepository) BatchUpdateNodeStates(updates []NodeStateUpdate) error {\n    // 1. Begin transaction\n    tx, err := r.DB.Beginx()\n    \n    // 2. Prepare three statements within transaction:\n    stmtLookup, err := tx.Preparex(\"SELECT id FROM node WHERE hostname = ? AND cluster = ?\")\n    stmtInsertNode, err := tx.PrepareNamed(NamedNodeInsert)\n    stmtInsertState, err := tx.PrepareNamed(NamedNodeStateInsert)\n    \n    // 3. For each node update:\n    for _, u := range updates {\n        // a. Try to lookup existing node by hostname+cluster\n        var id int64\n        if err := stmtLookup.QueryRow(u.Hostname, u.Cluster).Scan(&id); err != nil {\n            if err == sql.ErrNoRows {\n                // b. If node doesn't exist, look up subcluster and insert new node\n                subcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)\n                if scErr != nil {\n                    cclog.Errorf(\"BatchUpdateNodeStates: subcluster lookup for '%s' in '%s': %v\", u.Hostname, u.Cluster, scErr)\n                    continue\n                }\n                node := schema.NodeDB{\n                    Hostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,\n                }\n                res, insertErr := stmtInsertNode.Exec(&node)\n                if insertErr != nil {\n                    cclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)\n                    continue\n                }\n                id, _ = res.LastInsertId()\n            } else {\n                cclog.Errorf(\"BatchUpdateNodeStates: lookup node '%s': %v\", u.Hostname, err)\n                continue\n            }\n        }\n        \n        // c. Insert node state row with the node_id\n        u.NodeState.NodeID = id\n        if _, err := stmtInsertState.Exec(u.NodeState); err != nil {\n            cclog.Errorf(\"BatchUpdateNodeStates: insert state for '%s': %v\", u.Hostname, err)\n        }\n    }\n    \n    // 4. Commit transaction\n    if err := tx.Commit(); err != nil {\n        return fmt.Errorf(\"BatchUpdateNodeStates: commit: %w\", err)\n    }\n    return nil\n}\n```\n\n**SQL Statements Used:**\n\n**NamedNodeInsert** (lines 176-178):\n```sql\nINSERT INTO node (hostname, cluster, subcluster)\n    VALUES (:hostname, :cluster, :subcluster);\n```\n\n**NamedNodeStateInsert** (lines 199-203):\n```sql\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n    cpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n    VALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n    :cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);\n```\n\n**Database Schema:**\n\n**node table** (migration 10_node-table.up.sql):\n```sql\nCREATE TABLE \"node\" (\n    id INTEGER PRIMARY KEY,\n    hostname VARCHAR(255) NOT NULL,\n    cluster VARCHAR(255) NOT NULL,\n    subcluster VARCHAR(255) NOT NULL,\n    meta_data TEXT,          -- JSON\n    UNIQUE (hostname, cluster)\n);\n```\n\n**node_state table:**\n```sql\nCREATE TABLE \"node_state\" (\n    id INTEGER PRIMARY KEY,\n    time_stamp INTEGER NOT NULL,\n    jobs_running INTEGER DEFAULT 0 NOT NULL,\n    cpus_allocated INTEGER DEFAULT 0 NOT NULL,\n    memory_allocated INTEGER DEFAULT 0 NOT NULL,\n    gpus_allocated INTEGER DEFAULT 0 NOT NULL,\n    node_state VARCHAR(255) NOT NULL\n        CHECK (node_state IN ('allocated', 'reserved', 'idle', 'mixed', 'down', 'unknown')),\n    health_state VARCHAR(255) NOT NULL\n        CHECK (health_state IN ('full', 'partial', 'failed')),\n    health_metrics TEXT,          -- JSON array of strings\n    node_id INTEGER,\n    FOREIGN KEY (node_id) REFERENCES node (id)\n);\n```\n\n**Key Transaction Features:**\n- All node lookups and inserts/state inserts happen within a single transaction\n- Reduces lock acquisitions from 2*N to 1 for N nodes\n- Errors during individual node updates are logged but don't abort the batch\n- Uses prepared statements for efficiency\n- Defers rollback in case of errors\n\n**NodeStateDB Structure** (from schema/node.go, lines 72-83):\n```go\ntype NodeStateDB struct {\n    ID              int64           `db:\"id\"`\n    TimeStamp       int64           `db:\"time_stamp\"` // Unix timestamp (set to requestReceived)\n    NodeState       SchedulerState  `db:\"node_state\"` // allocated/reserved/idle/mixed/down/unknown\n    HealthState     MonitoringState `db:\"health_state\"` // full/partial/failed\n    HealthMetrics   string          `db:\"health_metrics\"` // JSON: {\"missing\":[...],\"degraded\":[...]}\n    CpusAllocated   int             `db:\"cpus_allocated\"`\n    MemoryAllocated int64           `db:\"memory_allocated\"`\n    GpusAllocated   int             `db:\"gpus_allocated\"`\n    JobsRunning     int             `db:\"jobs_running\"`\n    NodeID          int64           `db:\"node_id\"` // Foreign key to node(id)\n}\n```\n\n---\n\n### 6. HELPER FUNCTIONS CALLED\n\n1. **decode(r.Body, &req)** - Parses JSON request body with strict validation\n2. **repository.GetNodeRepository()** - Returns singleton NodeRepository instance\n3. **archive.GetSubClusterByNode(cluster, hostname)** - Determines subcluster from topology\n4. **archive.GetMetricConfigSubCluster(cluster, sc)** - Retrieves metric configurations\n5. **metricListToNames(metricList)** - Converts metric map to name list\n6. **metricdispatch.GetHealthCheckRepo(cluster)** - Gets health check repository for metric store\n7. **healthRepo.HealthCheck(cluster, nodes, metrics)** - Performs health check on metric store\n8. **determineState(states []string)** - Converts state string array to SchedulerState enum\n9. **repo.BatchUpdateNodeStates(updates)** - Executes transactional batch database insert\n10. **handleError()** - Returns standardized JSON error response\n\n---\n\n### 7. ERROR RESPONSES\n\n**ErrorResponse Structure**:\n```go\ntype ErrorResponse struct {\n    Status string `json:\"status\"` // HTTP status text\n    Error  string `json:\"error\"`  // Error message\n}\n```\n\n**HTTP Status Codes:**\n- **400 Bad Request** - JSON parsing failed\n- **401 Unauthorized** - No authentication token or invalid token\n- **403 Forbidden** - User lacks required permissions\n- **500 Internal Server Error** - Database operations fail\n\n**Note:** The current implementation does NOT return an error response on successful completion. It logs errors but doesn't fail the HTTP request when individual node updates fail during batch operations.\n\n---\n\n### 8. TIMING AND LOGGING\n\nThe endpoint records performance metrics:\n- `Timer updateNodeStates, MemStore HealthCheck: <duration>` - Health check query time\n- `Timer updateNodeStates, SQLite Inserts: <duration>` - Database transaction time\n- Error logging at WARN level for missing metric stores\n- Error logging at ERROR level for individual node failures during batch operations\n- Debug logging for state update completion\n\n---\n\nThis comprehensive implementation provides efficient batch processing of node state updates with transaction support, health check integration, and graceful error handling."}],"totalDurationMs":103232,"totalTokens":53155,"totalToolUseCount":25,"usage":{"input_tokens":0,"cache_creation_input_tokens":585,"cache_read_input_tokens":47945,"output_tokens":4625,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":585},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"b0e68af7-9cdb-43ed-8a32-76f33d8c6a94","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
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+{"parentUuid":"dbc5434c-a107-41ff-8101-7020c39ee2e8","isSidechain":false,"promptId":"c2bc230a-67ed-4f5e-b42f-f832728effa2","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VqNJxq46iwN1on5uhwmXTX","type":"tool_result","content":"   375→\t}\n   376→\n   377→\tarchiver.TriggerArchiving(job)\n   378→}\n   379→\n   380→// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n   381→// Updates node states in the repository for all nodes in the payload.\n   382→func (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n   383→\tv, ok := msg.GetEventValue()\n   384→\tif !ok {\n   385→\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n   386→\t\treturn\n   387→\t}\n   388→\n   389→\tvar req UpdateNodeStatesRequest\n   390→\n   391→\tdec := json.NewDecoder(strings.NewReader(v))\n   392→\tdec.DisallowUnknownFields()\n   393→\tif err := dec.Decode(&req); err != nil {\n   394→\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n   395→\t\treturn\n   396→\t}\n   397→\n   398→\trepo := repository.GetNodeRepository()\n   399→\trequestReceived := time.Now().Unix()\n   400→\n   401→\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n   402→\tfor _, node := range req.Nodes {\n   403→\t\tstate := determineState(node.States)\n   404→\t\tnodeState := schema.NodeStateDB{\n   405→\t\t\tTimeStamp:       requestReceived,\n   406→\t\t\tNodeState:       state,\n   407→\t\t\tCpusAllocated:   node.CpusAllocated,\n   408→\t\t\tMemoryAllocated: node.MemoryAllocated,\n   409→\t\t\tGpusAllocated:   node.GpusAllocated,\n   410→\t\t\tHealthState:     schema.MonitoringStateFull,\n   411→\t\t\tJobsRunning:     node.JobsRunning,\n   412→\t\t}\n   413→\t\tupdates = append(updates, repository.NodeStateUpdate{\n   414→\t\t\tHostname:  node.Hostname,\n   415→\t\t\tCluster:   req.Cluster,\n   416→\t\t\tNodeState: &nodeState,\n   417→\t\t})\n   418→\t}\n   419→\n   420→\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n   421→\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n   422→\t}\n   423→\n   424→\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n   425→}\n   426→\n   427→// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n   428→// The message must be in line protocol format with measurement=\"nodestate\" and include:\n   429→//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n   430→//\n   431→// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\n   432→func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n   433→\tif len(data) == 0 {\n   434→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n   435→\t\treturn\n   436→\t}\n   437→\n   438→\td := influx.NewDecoderWithBytes(data)\n   439→\n   440→\tfor d.Next() {\n   441→\t\tm, err := receivers.DecodeInfluxMessage(d)\n   442→\t\tif err != nil {\n   443→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n   444→\t\t\treturn\n   445→\t\t}\n   446→\n   447→\t\tif !m.IsEvent() {\n   448→\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n   449→\t\t\tcontinue\n   450→\t\t}\n   451→\n   452→\t\tif m.Name() == \"nodestate\" {\n   453→\t\t\tapi.processNodestateEvent(m)\n   454→\t\t} else {\n   455→\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n   456→\t\t}\n   457→\t}\n   458→}\n   459→"}]},"uuid":"eb9f953a-1cf5-4bfc-80c8-7c2a860b946e","timestamp":"2026-03-16T10:59:04.787Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","content":"\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","numLines":85,"startLine":375,"totalLines":459}},"sourceToolAssistantUUID":"dbc5434c-a107-41ff-8101-7020c39ee2e8","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
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This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"fmt\"\n    10→\t\"maps\"\n    11→\t\"net/http\"\n    12→\t\"strings\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→)\n    22→\n    23→type UpdateNodeStatesRequest struct {\n    24→\tNodes   []schema.NodePayload `json:\"nodes\"`\n    25→\tCluster string               `json:\"cluster\" example:\"fritz\"`\n    26→}\n    27→\n    28→// metricListToNames converts a map of metric configurations to a list of metric names\n    29→func metricListToNames(metricList map[string]*schema.Metric) []string {\n    30→\tnames := make([]string, 0, len(metricList))\n    31→\tfor name := range metricList {\n    32→\t\tnames = append(names, name)\n    33→\t}\n    34→\treturn names\n    35→}\n    36→\n    37→// this routine assumes that only one of them exists per node\n    38→func determineState(states []string) schema.SchedulerState {\n    39→\tfor _, state := range states {\n    40→\t\tswitch strings.ToLower(state) {\n    41→\t\tcase \"allocated\":\n    42→\t\t\treturn schema.NodeStateAllocated\n    43→\t\tcase \"reserved\":\n    44→\t\t\treturn schema.NodeStateReserved\n    45→\t\tcase \"idle\":\n    46→\t\t\treturn schema.NodeStateIdle\n    47→\t\tcase \"down\":\n    48→\t\t\treturn schema.NodeStateDown\n    49→\t\tcase \"mixed\":\n    50→\t\t\treturn schema.NodeStateMixed\n    51→\t\t}\n    52→\t}\n    53→\n    54→\treturn schema.NodeStateUnknown\n    55→}\n    56→\n    57→// updateNodeStates godoc\n    58→// @summary     Deliver updated Slurm node states\n    59→// @tags Nodestates\n    60→// @description Returns a JSON-encoded list of users.\n    61→// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n    62→// @produce     json\n    63→// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n    64→// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n    65→// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n    66→// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n    67→// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n    68→// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n    69→// @security    ApiKeyAuth\n    70→// @router      /api/nodestats/ [post]\n    71→func (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n    72→\t// Parse request body\n    73→\treq := UpdateNodeStatesRequest{}\n    74→\tif err := decode(r.Body, &req); err != nil {\n    75→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n    76→\t\t\thttp.StatusBadRequest, rw)\n    77→\t\treturn\n    78→\t}\n    79→\trequestReceived := time.Now().Unix()\n    80→\trepo := repository.GetNodeRepository()\n    81→\n    82→\tm := make(map[string][]string)\n    83→\tmetricNames := make(map[string][]string)\n    84→\thealthResults := make(map[string]metricstore.HealthCheckResult)\n    85→\n    86→\tstartMs := time.Now()\n    87→\n    88→\t// Step 1: Build nodeList and metricList per subcluster\n    89→\tfor _, node := range req.Nodes {\n    90→\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n    91→\t\t\tm[sc] = append(m[sc], node.Hostname)\n    92→\t\t}\n    93→\t}\n    94→\n    95→\tfor sc := range m {\n    96→\t\tif sc != \"\" {\n    97→\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n    98→\t\t\tmetricNames[sc] = metricListToNames(metricList)\n    99→\t\t}\n   100→\t}\n   101→\n   102→\t// Step 2: Determine which metric store to query and perform health check\n   103→\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n   104→\tif err != nil {\n   105→\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n   106→\t} else {\n   107→\t\tfor sc, nl := range m {\n   108→\t\t\tif sc != \"\" {\n   109→\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n   110→\t\t\t\t\tmaps.Copy(healthResults, results)\n   111→\t\t\t\t}\n   112→\t\t\t}\n   113→\t\t}\n   114→\t}\n   115→\n   116→\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n   117→\tstartDB := time.Now()\n   118→\n   119→\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n   120→\tfor _, node := range req.Nodes {\n   121→\t\tstate := determineState(node.States)\n   122→\t\thealthState := schema.MonitoringStateFailed\n   123→\t\tvar healthMetrics string\n   124→\t\tif result, ok := healthResults[node.Hostname]; ok {\n   125→\t\t\thealthState = result.State\n   126→\t\t\thealthMetrics = result.HealthMetrics\n   127→\t\t}\n   128→\t\tnodeState := schema.NodeStateDB{\n   129→\t\t\tTimeStamp:       requestReceived,\n   130→\t\t\tNodeState:       state,\n   131→\t\t\tCpusAllocated:   node.CpusAllocated,\n   132→\t\t\tMemoryAllocated: node.MemoryAllocated,\n   133→\t\t\tGpusAllocated:   node.GpusAllocated,\n   134→\t\t\tHealthState:     healthState,\n   135→\t\t\tHealthMetrics:   healthMetrics,\n   136→\t\t\tJobsRunning:     node.JobsRunning,\n   137→\t\t}\n   138→\t\tupdates = append(updates, repository.NodeStateUpdate{\n   139→\t\t\tHostname:  node.Hostname,\n   140→\t\t\tCluster:   req.Cluster,\n   141→\t\t\tNodeState: &nodeState,\n   142→\t\t})\n   143→\t}\n   144→\n   145→\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n   146→\t\tcclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n   147→\t}\n   148→\n   149→\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n   150→}\n   151→"}]},"uuid":"d5e076ac-aa42-47c1-8d88-ddab85375c6d","timestamp":"2026-03-16T10:59:05.015Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"fmt\"\n\t\"maps\"\n\t\"net/http\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\ntype UpdateNodeStatesRequest struct {\n\tNodes   []schema.NodePayload `json:\"nodes\"`\n\tCluster string               `json:\"cluster\" example:\"fritz\"`\n}\n\n// metricListToNames converts a map of metric configurations to a list of metric names\nfunc metricListToNames(metricList map[string]*schema.Metric) []string {\n\tnames := make([]string, 0, len(metricList))\n\tfor name := range metricList {\n\t\tnames = append(names, name)\n\t}\n\treturn names\n}\n\n// this routine assumes that only one of them exists per node\nfunc determineState(states []string) schema.SchedulerState {\n\tfor _, state := range states {\n\t\tswitch strings.ToLower(state) {\n\t\tcase \"allocated\":\n\t\t\treturn schema.NodeStateAllocated\n\t\tcase \"reserved\":\n\t\t\treturn schema.NodeStateReserved\n\t\tcase \"idle\":\n\t\t\treturn schema.NodeStateIdle\n\t\tcase \"down\":\n\t\t\treturn schema.NodeStateDown\n\t\tcase \"mixed\":\n\t\t\treturn schema.NodeStateMixed\n\t\t}\n\t}\n\n\treturn schema.NodeStateUnknown\n}\n\n// updateNodeStates godoc\n// @summary     Deliver updated Slurm node states\n// @tags Nodestates\n// @description Returns a JSON-encoded list of users.\n// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n// @produce     json\n// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/nodestats/ [post]\nfunc (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n\t// Parse request body\n\treq := UpdateNodeStatesRequest{}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n\t\t\thttp.StatusBadRequest, rw)\n\t\treturn\n\t}\n\trequestReceived := time.Now().Unix()\n\trepo := repository.GetNodeRepository()\n\n\tm := make(map[string][]string)\n\tmetricNames := make(map[string][]string)\n\thealthResults := make(map[string]metricstore.HealthCheckResult)\n\n\tstartMs := time.Now()\n\n\t// Step 1: Build nodeList and metricList per subcluster\n\tfor _, node := range req.Nodes {\n\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n\t\t\tm[sc] = append(m[sc], node.Hostname)\n\t\t}\n\t}\n\n\tfor sc := range m {\n\t\tif sc != \"\" {\n\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n\t\t\tmetricNames[sc] = metricListToNames(metricList)\n\t\t}\n\t}\n\n\t// Step 2: Determine which metric store to query and perform health check\n\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n\tif err != nil {\n\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n\t} else {\n\t\tfor sc, nl := range m {\n\t\t\tif sc != \"\" {\n\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n\t\t\t\t\tmaps.Copy(healthResults, results)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     healthState,\n\t\t\tHealthMetrics:   healthMetrics,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n}\n","numLines":151,"startLine":1,"totalLines":151}},"sourceToolAssistantUUID":"b1e8cb87-5b65-4326-804d-1ab752119f3c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
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+{"parentUuid":"a4c80774-b820-47c2-9683-14fe48de24d1","isSidechain":false,"promptId":"c2bc230a-67ed-4f5e-b42f-f832728effa2","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011ZLAPntFdNjpn9qptw6Fdb","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"database/sql\"\n    10→\t\"encoding/json\"\n    11→\t\"strings\"\n    12→\t\"sync\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n    21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n    23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    24→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n    25→)\n    26→\n    27→// natsMessage wraps a raw NATS message with its subject for channel-based processing.\n    28→type natsMessage struct {\n    29→\tsubject string\n    30→\tdata    []byte"}]},"uuid":"20d06b92-8be9-4f9e-a04d-0509761ec92c","timestamp":"2026-03-16T10:59:12.039Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// natsMessage wraps a raw NATS message with its subject for channel-based processing.\ntype natsMessage struct {\n\tsubject string\n\tdata    []byte","numLines":30,"startLine":1,"totalLines":459}},"sourceToolAssistantUUID":"a4c80774-b820-47c2-9683-14fe48de24d1","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
+{"parentUuid":"20d06b92-8be9-4f9e-a04d-0509761ec92c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01B6d6pV6XF6gGee6TfGnuSk","type":"message","role":"assistant","content":[{"type":"text","text":"Now I have all the information needed. Let me write the plan."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":757,"cache_read_input_tokens":31536,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":757},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6eBTsgHG4XbLQgwyqio","type":"assistant","uuid":"2787f86f-04d1-4979-bfa6-929ff6f76e1c","timestamp":"2026-03-16T10:59:16.558Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
+{"type":"file-history-snapshot","messageId":"b2a9d4bf-2917-4f9e-8a17-22db758428e3","snapshot":{"messageId":"09ec75b2-7da0-4429-b211-6dc487abaae0","trackedFileBackups":{"/Users/jan/.claude/plans/magical-sauteeing-gosling.md":{"backupFileName":null,"version":1,"backupTime":"2026-03-16T10:59:30.232Z"}},"timestamp":"2026-03-16T10:57:01.781Z"},"isSnapshotUpdate":true}
+{"parentUuid":"2787f86f-04d1-4979-bfa6-929ff6f76e1c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01B6d6pV6XF6gGee6TfGnuSk","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012hyVeBU6VGyyqVoZjCcTr9","name":"Write","input":{"file_path":"/Users/jan/.claude/plans/magical-sauteeing-gosling.md","content":"# Plan: Add Health Check to NATS Node State Handler\n\n## Context\n\nThe NATS `processNodestateEvent` handler in `internal/api/nats.go` is missing the health check logic that the REST `updateNodeStates` handler in `internal/api/node.go` has. Currently, the NATS handler hardcodes `HealthState: schema.MonitoringStateFull` and leaves `HealthMetrics` empty, while the REST handler:\n\n1. Groups nodes by subcluster\n2. Fetches metric configurations per subcluster\n3. Runs health checks against the metric store\n4. Uses health check results per node (defaulting to `MonitoringStateFailed` if unavailable)\n\nThis means node state updates via NATS always report full health regardless of actual metric availability, producing inconsistent data compared to the REST path.\n\n## Changes\n\n### File: `internal/api/nats.go`\n\n**1. Add missing imports:**\n- `\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"`\n- `\"github.com/ClusterCockpit/cc-backend/pkg/archive\"`\n- `\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"`\n\n**2. Rewrite `processNodestateEvent` (lines 382-425)** to match the REST handler logic:\n\n- After parsing the request, add the same health check flow from `updateNodeStates` (node.go lines 82-114):\n  - Build `map[subcluster][]hostname` using `archive.GetSubClusterByNode()`\n  - Build `metricNames` per subcluster using `archive.GetMetricConfigSubCluster()` + `metricListToNames()`\n  - Get health check repo via `metricdispatch.GetHealthCheckRepo(req.Cluster)`\n  - Run `healthRepo.HealthCheck()` per subcluster, merge results\n- When building `NodeStateDB`, default `HealthState` to `MonitoringStateFailed` (not `MonitoringStateFull`) and use health check results when available — identical to REST handler (node.go lines 120-143)\n\n### Reused existing functions (no new code needed):\n- `determineState()` — already shared (`internal/api/node.go:38`)\n- `metricListToNames()` — already shared (`internal/api/node.go:29`)\n- `archive.GetSubClusterByNode()` — from `pkg/archive`\n- `archive.GetMetricConfigSubCluster()` — from `pkg/archive`\n- `metricdispatch.GetHealthCheckRepo()` — from `internal/metricdispatch`\n- `repo.BatchUpdateNodeStates()` — already used\n\n## Verification\n\n1. `go build ./...` — ensure it compiles\n2. `go test ./internal/api/...` — run existing NATS tests\n3. Review that `TestNatsHandleNodeState` and `TestNatsHandleNodeStateEdgeCases` still pass (they don't assert on HealthState values, so should be fine)\n4. Manual comparison: the node-building loop in NATS should now be identical to REST (node.go lines 119-143)\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":757,"cache_read_input_tokens":31536,"output_tokens":872,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":757,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6eBTsgHG4XbLQgwyqio","type":"assistant","uuid":"b2a9d4bf-2917-4f9e-8a17-22db758428e3","timestamp":"2026-03-16T10:59:30.226Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
+{"parentUuid":"b2a9d4bf-2917-4f9e-8a17-22db758428e3","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Write","command":"callback"},"parentToolUseID":"toolu_012hyVeBU6VGyyqVoZjCcTr9","toolUseID":"toolu_012hyVeBU6VGyyqVoZjCcTr9","timestamp":"2026-03-16T10:59:30.234Z","uuid":"dc67e7db-0bb6-4032-b6a4-c53d3ead3212","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
+{"parentUuid":"b2a9d4bf-2917-4f9e-8a17-22db758428e3","isSidechain":false,"promptId":"c2bc230a-67ed-4f5e-b42f-f832728effa2","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012hyVeBU6VGyyqVoZjCcTr9","type":"tool_result","content":"File created successfully at: /Users/jan/.claude/plans/magical-sauteeing-gosling.md"}]},"uuid":"4ad28045-c725-4b8d-90f7-2c16310fee68","timestamp":"2026-03-16T10:59:30.233Z","toolUseResult":{"type":"create","filePath":"/Users/jan/.claude/plans/magical-sauteeing-gosling.md","content":"# Plan: Add Health Check to NATS Node State Handler\n\n## Context\n\nThe NATS `processNodestateEvent` handler in `internal/api/nats.go` is missing the health check logic that the REST `updateNodeStates` handler in `internal/api/node.go` has. Currently, the NATS handler hardcodes `HealthState: schema.MonitoringStateFull` and leaves `HealthMetrics` empty, while the REST handler:\n\n1. Groups nodes by subcluster\n2. Fetches metric configurations per subcluster\n3. Runs health checks against the metric store\n4. Uses health check results per node (defaulting to `MonitoringStateFailed` if unavailable)\n\nThis means node state updates via NATS always report full health regardless of actual metric availability, producing inconsistent data compared to the REST path.\n\n## Changes\n\n### File: `internal/api/nats.go`\n\n**1. Add missing imports:**\n- `\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"`\n- `\"github.com/ClusterCockpit/cc-backend/pkg/archive\"`\n- `\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"`\n\n**2. Rewrite `processNodestateEvent` (lines 382-425)** to match the REST handler logic:\n\n- After parsing the request, add the same health check flow from `updateNodeStates` (node.go lines 82-114):\n  - Build `map[subcluster][]hostname` using `archive.GetSubClusterByNode()`\n  - Build `metricNames` per subcluster using `archive.GetMetricConfigSubCluster()` + `metricListToNames()`\n  - Get health check repo via `metricdispatch.GetHealthCheckRepo(req.Cluster)`\n  - Run `healthRepo.HealthCheck()` per subcluster, merge results\n- When building `NodeStateDB`, default `HealthState` to `MonitoringStateFailed` (not `MonitoringStateFull`) and use health check results when available — identical to REST handler (node.go lines 120-143)\n\n### Reused existing functions (no new code needed):\n- `determineState()` — already shared (`internal/api/node.go:38`)\n- `metricListToNames()` — already shared (`internal/api/node.go:29`)\n- `archive.GetSubClusterByNode()` — from `pkg/archive`\n- `archive.GetMetricConfigSubCluster()` — from `pkg/archive`\n- `metricdispatch.GetHealthCheckRepo()` — from `internal/metricdispatch`\n- `repo.BatchUpdateNodeStates()` — already used\n\n## Verification\n\n1. `go build ./...` — ensure it compiles\n2. `go test ./internal/api/...` — run existing NATS tests\n3. Review that `TestNatsHandleNodeState` and `TestNatsHandleNodeStateEdgeCases` still pass (they don't assert on HealthState values, so should be fine)\n4. Manual comparison: the node-building loop in NATS should now be identical to REST (node.go lines 119-143)\n","structuredPatch":[],"originalFile":null},"sourceToolAssistantUUID":"b2a9d4bf-2917-4f9e-8a17-22db758428e3","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
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+{"parentUuid":"4fd516b1-fc56-44c3-a303-1e68a44a40e8","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017PFk7MSuBLg9VYXjYmZUcR","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nLet me re-read the existing plan and the current state of the files to see if anything has changed."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1179,"cache_read_input_tokens":33202,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1179},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6eD9h6Ln1j5ZRLBa7gc","type":"assistant","uuid":"fcb10a37-9dc8-4aa6-9d15-bd4c110e18a1","timestamp":"2026-03-16T10:59:39.070Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
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+{"parentUuid":"64cd6bce-9b14-4137-9411-13cd341921a5","isSidechain":false,"promptId":"c2bc230a-67ed-4f5e-b42f-f832728effa2","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014hY5Hw9jMUHZTi8mCnYFav","type":"tool_result","content":"     1→# Plan: Add Health Check to NATS Node State Handler\n     2→\n     3→## Context\n     4→\n     5→The NATS `processNodestateEvent` handler in `internal/api/nats.go` is missing the health check logic that the REST `updateNodeStates` handler in `internal/api/node.go` has. Currently, the NATS handler hardcodes `HealthState: schema.MonitoringStateFull` and leaves `HealthMetrics` empty, while the REST handler:\n     6→\n     7→1. Groups nodes by subcluster\n     8→2. Fetches metric configurations per subcluster\n     9→3. Runs health checks against the metric store\n    10→4. Uses health check results per node (defaulting to `MonitoringStateFailed` if unavailable)\n    11→\n    12→This means node state updates via NATS always report full health regardless of actual metric availability, producing inconsistent data compared to the REST path.\n    13→\n    14→## Changes\n    15→\n    16→### File: `internal/api/nats.go`\n    17→\n    18→**1. Add missing imports:**\n    19→- `\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"`\n    20→- `\"github.com/ClusterCockpit/cc-backend/pkg/archive\"`\n    21→- `\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"`\n    22→\n    23→**2. Rewrite `processNodestateEvent` (lines 382-425)** to match the REST handler logic:\n    24→\n    25→- After parsing the request, add the same health check flow from `updateNodeStates` (node.go lines 82-114):\n    26→  - Build `map[subcluster][]hostname` using `archive.GetSubClusterByNode()`\n    27→  - Build `metricNames` per subcluster using `archive.GetMetricConfigSubCluster()` + `metricListToNames()`\n    28→  - Get health check repo via `metricdispatch.GetHealthCheckRepo(req.Cluster)`\n    29→  - Run `healthRepo.HealthCheck()` per subcluster, merge results\n    30→- When building `NodeStateDB`, default `HealthState` to `MonitoringStateFailed` (not `MonitoringStateFull`) and use health check results when available — identical to REST handler (node.go lines 120-143)\n    31→\n    32→### Reused existing functions (no new code needed):\n    33→- `determineState()` — already shared (`internal/api/node.go:38`)\n    34→- `metricListToNames()` — already shared (`internal/api/node.go:29`)\n    35→- `archive.GetSubClusterByNode()` — from `pkg/archive`\n    36→- `archive.GetMetricConfigSubCluster()` — from `pkg/archive`\n    37→- `metricdispatch.GetHealthCheckRepo()` — from `internal/metricdispatch`\n    38→- `repo.BatchUpdateNodeStates()` — already used\n    39→\n    40→## Verification\n    41→\n    42→1. `go build ./...` — ensure it compiles\n    43→2. `go test ./internal/api/...` — run existing NATS tests\n    44→3. Review that `TestNatsHandleNodeState` and `TestNatsHandleNodeStateEdgeCases` still pass (they don't assert on HealthState values, so should be fine)\n    45→4. Manual comparison: the node-building loop in NATS should now be identical to REST (node.go lines 119-143)\n    46→"}]},"uuid":"4d83f216-69f0-463a-9b7d-cee61ef9c373","timestamp":"2026-03-16T10:59:39.563Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/.claude/plans/magical-sauteeing-gosling.md","content":"# Plan: Add Health Check to NATS Node State Handler\n\n## Context\n\nThe NATS `processNodestateEvent` handler in `internal/api/nats.go` is missing the health check logic that the REST `updateNodeStates` handler in `internal/api/node.go` has. Currently, the NATS handler hardcodes `HealthState: schema.MonitoringStateFull` and leaves `HealthMetrics` empty, while the REST handler:\n\n1. Groups nodes by subcluster\n2. Fetches metric configurations per subcluster\n3. Runs health checks against the metric store\n4. Uses health check results per node (defaulting to `MonitoringStateFailed` if unavailable)\n\nThis means node state updates via NATS always report full health regardless of actual metric availability, producing inconsistent data compared to the REST path.\n\n## Changes\n\n### File: `internal/api/nats.go`\n\n**1. Add missing imports:**\n- `\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"`\n- `\"github.com/ClusterCockpit/cc-backend/pkg/archive\"`\n- `\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"`\n\n**2. Rewrite `processNodestateEvent` (lines 382-425)** to match the REST handler logic:\n\n- After parsing the request, add the same health check flow from `updateNodeStates` (node.go lines 82-114):\n  - Build `map[subcluster][]hostname` using `archive.GetSubClusterByNode()`\n  - Build `metricNames` per subcluster using `archive.GetMetricConfigSubCluster()` + `metricListToNames()`\n  - Get health check repo via `metricdispatch.GetHealthCheckRepo(req.Cluster)`\n  - Run `healthRepo.HealthCheck()` per subcluster, merge results\n- When building `NodeStateDB`, default `HealthState` to `MonitoringStateFailed` (not `MonitoringStateFull`) and use health check results when available — identical to REST handler (node.go lines 120-143)\n\n### Reused existing functions (no new code needed):\n- `determineState()` — already shared (`internal/api/node.go:38`)\n- `metricListToNames()` — already shared (`internal/api/node.go:29`)\n- `archive.GetSubClusterByNode()` — from `pkg/archive`\n- `archive.GetMetricConfigSubCluster()` — from `pkg/archive`\n- `metricdispatch.GetHealthCheckRepo()` — from `internal/metricdispatch`\n- `repo.BatchUpdateNodeStates()` — already used\n\n## Verification\n\n1. `go build ./...` — ensure it compiles\n2. `go test ./internal/api/...` — run existing NATS tests\n3. Review that `TestNatsHandleNodeState` and `TestNatsHandleNodeStateEdgeCases` still pass (they don't assert on HealthState values, so should be fine)\n4. Manual comparison: the node-building loop in NATS should now be identical to REST (node.go lines 119-143)\n","numLines":46,"startLine":1,"totalLines":46}},"sourceToolAssistantUUID":"64cd6bce-9b14-4137-9411-13cd341921a5","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
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+{"parentUuid":"1f800444-d7fe-4855-b236-13bd70c04804","isSidechain":false,"promptId":"c2bc230a-67ed-4f5e-b42f-f832728effa2","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013tyLAEtparS4pj63xuP1FR","type":"tool_result","content":"   375→\t}\n   376→\n   377→\tarchiver.TriggerArchiving(job)\n   378→}\n   379→\n   380→// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n   381→// Updates node states in the repository for all nodes in the payload.\n   382→func (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n   383→\tv, ok := msg.GetEventValue()\n   384→\tif !ok {\n   385→\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n   386→\t\treturn\n   387→\t}\n   388→\n   389→\tvar req UpdateNodeStatesRequest\n   390→\n   391→\tdec := json.NewDecoder(strings.NewReader(v))\n   392→\tdec.DisallowUnknownFields()\n   393→\tif err := dec.Decode(&req); err != nil {\n   394→\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n   395→\t\treturn\n   396→\t}\n   397→\n   398→\trepo := repository.GetNodeRepository()\n   399→\trequestReceived := time.Now().Unix()\n   400→\n   401→\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n   402→\tfor _, node := range req.Nodes {\n   403→\t\tstate := determineState(node.States)\n   404→\t\tnodeState := schema.NodeStateDB{\n   405→\t\t\tTimeStamp:       requestReceived,\n   406→\t\t\tNodeState:       state,\n   407→\t\t\tCpusAllocated:   node.CpusAllocated,\n   408→\t\t\tMemoryAllocated: node.MemoryAllocated,\n   409→\t\t\tGpusAllocated:   node.GpusAllocated,\n   410→\t\t\tHealthState:     schema.MonitoringStateFull,\n   411→\t\t\tJobsRunning:     node.JobsRunning,\n   412→\t\t}\n   413→\t\tupdates = append(updates, repository.NodeStateUpdate{\n   414→\t\t\tHostname:  node.Hostname,\n   415→\t\t\tCluster:   req.Cluster,\n   416→\t\t\tNodeState: &nodeState,\n   417→\t\t})\n   418→\t}\n   419→\n   420→\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n   421→\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n   422→\t}\n   423→\n   424→\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n   425→}\n   426→\n   427→// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n   428→// The message must be in line protocol format with measurement=\"nodestate\" and include:\n   429→//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n   430→//\n   431→// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\n   432→func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n   433→\tif len(data) == 0 {\n   434→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n   435→\t\treturn\n   436→\t}\n   437→\n   438→\td := influx.NewDecoderWithBytes(data)\n   439→\n   440→\tfor d.Next() {\n   441→\t\tm, err := receivers.DecodeInfluxMessage(d)\n   442→\t\tif err != nil {\n   443→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n   444→\t\t\treturn\n   445→\t\t}\n   446→\n   447→\t\tif !m.IsEvent() {\n   448→\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n   449→\t\t\tcontinue\n   450→\t\t}\n   451→\n   452→\t\tif m.Name() == \"nodestate\" {\n   453→\t\t\tapi.processNodestateEvent(m)\n   454→\t\t} else {\n   455→\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n   456→\t\t}\n   457→\t}\n   458→}\n   459→"}]},"uuid":"54f7bd51-3034-4a63-b9c0-d0c07ebd8e27","timestamp":"2026-03-16T10:59:40.204Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","content":"\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","numLines":85,"startLine":375,"totalLines":459}},"sourceToolAssistantUUID":"1f800444-d7fe-4855-b236-13bd70c04804","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"}
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+  "branch": "hotfix",
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diff --git a/3a/40b75edd68/2/prompt.txt b/3a/40b75edd68/2/prompt.txt
new file mode 100644
index 00000000..a42f6b85
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+++ b/3a/40b75edd68/2/prompt.txt
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+Compare and analyze the UpdateNodestate REST vs NATS implementations and provide an identical functionality in NATS compared to REST.
\ No newline at end of file
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Configurable semaphore sizes — `internal/config/config.go`\n\nAdd `JobConcurrency` and `NodeConcurrency` fields to `NATSConfig`:\n\n```go\ntype NATSConfig struct {\n    SubjectJobEvent  string `json:\"subject-job-event\"`\n    SubjectNodeState string `json:\"subject-node-state\"`\n    QueueGroup       string `json:\"queue-group\"`\n    JobConcurrency   int    `json:\"job-concurrency\"`\n    NodeConcurrency  int    `json:\"node-concurrency\"`\n}\n```\n\nDefaults: `JobConcurrency=8`, `NodeConcurrency=2`, `QueueGroup=\"\"` (empty = no queue group for backward compat).\n\n### 2. Queue groups — `internal/api/nats.go`\n\nIn `StartSubscriptions()`, use `SubscribeQueue()` when `QueueGroup` is configured, otherwise fall back to `Subscribe()`. This enables horizontal scaling across multiple cc-backend instances.\n\n### 3. Channel-based subscriptions with worker pool — `internal/api/nats.go`\n\nReplace direct `Subscribe`/`SubscribeQueue` callback model with `SubscribeChan()` + buffered channels + worker goroutines. This:\n- Adds a Go-side buffer (configurable via semaphore size) between NATS delivery and processing\n- Decouples NATS message delivery from processing\n- Workers draw from the channel, applying the same semaphore-like concurrency via channel capacity + worker count\n\nArchitecture:\n```\nNATS server → SubscribeChan(buffered chan) → N worker goroutines → process message\n```\n\nThe number of workers = `JobConcurrency` / `NodeConcurrency`. The channel buffer provides additional absorb capacity for bursts.\n\n### Files to modify\n\n- `internal/config/config.go:117-120` — add fields to `NATSConfig`\n- `internal/api/nats.go` — rework `NewNatsAPI`, `StartSubscriptions`, replace semaphore pattern with channel workers\n- `internal/api/nats_test.go` — update `setupNatsTest` to set new config, tests should still pass\n\n### Verification\n\n- `go build ./...`\n- `go test ./internal/api/...` — all existing tests must pass\n- `go vet ./internal/api/...`\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/96740167-cb62-4e9b-a401-4dce5f9ae536.jsonl"},"uuid":"50ecf7f6-67a3-478d-90d6-62ff0daa6725","timestamp":"2026-03-16T10:50:55.515Z","planContent":"# NATS API Throughput Improvements: Configurable Semaphores, Queue Groups, Channel-Based Subscriptions\n\n## Context\n\nThe NATS API has hardcoded semaphore sizes (8 job, 2 node), uses basic `Subscribe()` instead of queue groups, and directly processes messages in NATS callbacks. These limit throughput and scalability.\n\n## Changes\n\n### 1. Configurable semaphore sizes — `internal/config/config.go`\n\nAdd `JobConcurrency` and `NodeConcurrency` fields to `NATSConfig`:\n\n```go\ntype NATSConfig struct {\n    SubjectJobEvent  string `json:\"subject-job-event\"`\n    SubjectNodeState string `json:\"subject-node-state\"`\n    QueueGroup       string `json:\"queue-group\"`\n    JobConcurrency   int    `json:\"job-concurrency\"`\n    NodeConcurrency  int    `json:\"node-concurrency\"`\n}\n```\n\nDefaults: `JobConcurrency=8`, `NodeConcurrency=2`, `QueueGroup=\"\"` (empty = no queue group for backward compat).\n\n### 2. Queue groups — `internal/api/nats.go`\n\nIn `StartSubscriptions()`, use `SubscribeQueue()` when `QueueGroup` is configured, otherwise fall back to `Subscribe()`. This enables horizontal scaling across multiple cc-backend instances.\n\n### 3. Channel-based subscriptions with worker pool — `internal/api/nats.go`\n\nReplace direct `Subscribe`/`SubscribeQueue` callback model with `SubscribeChan()` + buffered channels + worker goroutines. This:\n- Adds a Go-side buffer (configurable via semaphore size) between NATS delivery and processing\n- Decouples NATS message delivery from processing\n- Workers draw from the channel, applying the same semaphore-like concurrency via channel capacity + worker count\n\nArchitecture:\n```\nNATS server → SubscribeChan(buffered chan) → N worker goroutines → process message\n```\n\nThe number of workers = `JobConcurrency` / `NodeConcurrency`. The channel buffer provides additional absorb capacity for bursts.\n\n### Files to modify\n\n- `internal/config/config.go:117-120` — add fields to `NATSConfig`\n- `internal/api/nats.go` — rework `NewNatsAPI`, `StartSubscriptions`, replace semaphore pattern with channel workers\n- `internal/api/nats_test.go` — update `setupNatsTest` to set new config, tests should still pass\n\n### Verification\n\n- `go build ./...`\n- `go test ./internal/api/...` — all existing tests must pass\n- `go vet ./internal/api/...`\n","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"}
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This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package config implements the program configuration data structures, validation and parsing\n     7→package config\n     8→\n     9→import (\n    10→\t\"bytes\"\n    11→\t\"encoding/json\"\n    12→\t\"time\"\n    13→\n    14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    15→\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n    16→)\n    17→\n    18→type ProgramConfig struct {\n    19→\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n    20→\tAddr string `json:\"addr\"`\n    21→\n    22→\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n    23→\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n    24→\n    25→\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n    26→\n    27→\t// Drop root permissions once .env was read and the port was taken.\n    28→\tUser  string `json:\"user\"`\n    29→\tGroup string `json:\"group\"`\n    30→\n    31→\t// Disable authentication (for everything: API, Web-UI, ...)\n    32→\tDisableAuthentication bool `json:\"disable-authentication\"`\n    33→\n    34→\t// If `embed-static-files` is true (default), the frontend files are directly\n    35→\t// embeded into the go binary and expected to be in web/frontend. Only if\n    36→\t// it is false the files in `static-files` are served instead.\n    37→\tEmbedStaticFiles bool   `json:\"embed-static-files\"`\n    38→\tStaticFiles      string `json:\"static-files\"`\n    39→\n    40→\t// Path to SQLite database file\n    41→\tDB string `json:\"db\"`\n    42→\n    43→\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n    44→\n    45→\t// Validate json input against schema\n    46→\tValidate bool `json:\"validate\"`\n    47→\n    48→\t// If 0 or empty, the session does not expire!\n    49→\tSessionMaxAge string `json:\"session-max-age\"`\n    50→\n    51→\t// If both those options are not empty, use HTTPS using those certificates.\n    52→\tHTTPSCertFile string `json:\"https-cert-file\"`\n    53→\tHTTPSKeyFile  string `json:\"https-key-file\"`\n    54→\n    55→\t// If not the empty string and `addr` does not end in \":80\",\n    56→\t// redirect every request incoming at port 80 to that url.\n    57→\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n    58→\n    59→\t// Where to store MachineState files\n    60→\tMachineStateDir string `json:\"machine-state-dir\"`\n    61→\n    62→\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n    63→\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n    64→\n    65→\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n    66→\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n    67→\n    68→\t// Energy Mix CO2 Emission Constant [g/kWh]\n    69→\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n    70→\tEmissionConstant int `json:\"emission-constant\"`\n    71→\n    72→\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n    73→\tEnableResampling *ResampleConfig `json:\"resampling\"`\n    74→\n    75→\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n    76→\tSystemdUnit string `json:\"systemd-unit\"`\n    77→\n    78→\t// Node state retention configuration\n    79→\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n    80→\n    81→\t// Database tuning configuration\n    82→\tDbConfig *DbConfig `json:\"db-config\"`\n    83→}\n    84→\n    85→type DbConfig struct {\n    86→\tCacheSizeMB               int `json:\"cache-size-mb\"`\n    87→\tSoftHeapLimitMB           int `json:\"soft-heap-limit-mb\"`\n    88→\tMaxOpenConnections        int `json:\"max-open-connections\"`\n    89→\tMaxIdleConnections        int `json:\"max-idle-connections\"`\n    90→\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n    91→\tBusyTimeoutMs             int `json:\"busy-timeout-ms\"`\n    92→}\n    93→\n    94→type NodeStateRetention struct {\n    95→\tPolicy             string `json:\"policy\"`      // \"delete\" or \"move\"\n    96→\tAge                int    `json:\"age\"`         // hours, default 24\n    97→\tTargetKind         string `json:\"target-kind\"` // \"file\" or \"s3\"\n    98→\tTargetPath         string `json:\"target-path\"`\n    99→\tTargetEndpoint     string `json:\"target-endpoint\"`\n   100→\tTargetBucket       string `json:\"target-bucket\"`\n   101→\tTargetAccessKey    string `json:\"target-access-key\"`\n   102→\tTargetSecretKey    string `json:\"target-secret-key\"`\n   103→\tTargetRegion       string `json:\"target-region\"`\n   104→\tTargetUsePathStyle bool   `json:\"target-use-path-style\"`\n   105→\tMaxFileSizeMB      int    `json:\"max-file-size-mb\"`\n   106→}\n   107→\n   108→type ResampleConfig struct {\n   109→\t// Minimum number of points to trigger resampling of data\n   110→\tMinimumPoints int `json:\"minimum-points\"`\n   111→\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n   112→\tResolutions []int `json:\"resolutions\"`\n   113→\t// Trigger next zoom level at less than this many visible datapoints\n   114→\tTrigger int `json:\"trigger\"`\n   115→}\n   116→\n   117→type NATSConfig struct {\n   118→\tSubjectJobEvent  string `json:\"subject-job-event\"`\n   119→\tSubjectNodeState string `json:\"subject-node-state\"`\n   120→}\n   121→\n   122→type IntRange struct {\n   123→\tFrom int `json:\"from\"`\n   124→\tTo   int `json:\"to\"`\n   125→}\n   126→\n   127→type TimeRange struct {\n   128→\tFrom  *time.Time `json:\"from\"`\n   129→\tTo    *time.Time `json:\"to\"`\n   130→\tRange string     `json:\"range,omitempty\"`\n   131→}\n   132→\n   133→type FilterRanges struct {\n   134→\tDuration  *IntRange  `json:\"duration\"`\n   135→\tNumNodes  *IntRange  `json:\"num-nodes\"`\n   136→\tStartTime *TimeRange `json:\"start-time\"`\n   137→}\n   138→\n   139→var Keys ProgramConfig = ProgramConfig{\n   140→\tAddr:                      \"localhost:8080\",\n   141→\tEmbedStaticFiles:          true,\n   142→\tDB:                        \"./var/job.db\",\n   143→\tSessionMaxAge:             \"168h\",\n   144→\tStopJobsExceedingWalltime: 0,\n   145→\tShortRunningJobsDuration:  5 * 60,\n   146→}\n   147→\n   148→func Init(mainConfig json.RawMessage) {\n   149→\tValidate(configSchema, mainConfig)\n   150→\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n   151→\tdec.DisallowUnknownFields()\n   152→\tif err := dec.Decode(&Keys); err != nil {\n   153→\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n   154→\t}\n   155→\n   156→\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n   157→\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n   158→\t}\n   159→}\n   160→"}]},"uuid":"14c2066f-ff16-46fe-91f1-331efe4580fa","timestamp":"2026-03-16T10:50:59.130Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package config implements the program configuration data structures, validation and parsing\npackage config\n\nimport (\n\t\"bytes\"\n\t\"encoding/json\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n)\n\ntype ProgramConfig struct {\n\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n\tAddr string `json:\"addr\"`\n\n\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n\n\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n\n\t// Drop root permissions once .env was read and the port was taken.\n\tUser  string `json:\"user\"`\n\tGroup string `json:\"group\"`\n\n\t// Disable authentication (for everything: API, Web-UI, ...)\n\tDisableAuthentication bool `json:\"disable-authentication\"`\n\n\t// If `embed-static-files` is true (default), the frontend files are directly\n\t// embeded into the go binary and expected to be in web/frontend. Only if\n\t// it is false the files in `static-files` are served instead.\n\tEmbedStaticFiles bool   `json:\"embed-static-files\"`\n\tStaticFiles      string `json:\"static-files\"`\n\n\t// Path to SQLite database file\n\tDB string `json:\"db\"`\n\n\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n\n\t// Validate json input against schema\n\tValidate bool `json:\"validate\"`\n\n\t// If 0 or empty, the session does not expire!\n\tSessionMaxAge string `json:\"session-max-age\"`\n\n\t// If both those options are not empty, use HTTPS using those certificates.\n\tHTTPSCertFile string `json:\"https-cert-file\"`\n\tHTTPSKeyFile  string `json:\"https-key-file\"`\n\n\t// If not the empty string and `addr` does not end in \":80\",\n\t// redirect every request incoming at port 80 to that url.\n\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n\n\t// Where to store MachineState files\n\tMachineStateDir string `json:\"machine-state-dir\"`\n\n\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n\n\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n\n\t// Energy Mix CO2 Emission Constant [g/kWh]\n\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n\tEmissionConstant int `json:\"emission-constant\"`\n\n\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n\tEnableResampling *ResampleConfig `json:\"resampling\"`\n\n\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n\tSystemdUnit string `json:\"systemd-unit\"`\n\n\t// Node state retention configuration\n\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n\n\t// Database tuning configuration\n\tDbConfig *DbConfig `json:\"db-config\"`\n}\n\ntype DbConfig struct {\n\tCacheSizeMB               int `json:\"cache-size-mb\"`\n\tSoftHeapLimitMB           int `json:\"soft-heap-limit-mb\"`\n\tMaxOpenConnections        int `json:\"max-open-connections\"`\n\tMaxIdleConnections        int `json:\"max-idle-connections\"`\n\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n\tBusyTimeoutMs             int `json:\"busy-timeout-ms\"`\n}\n\ntype NodeStateRetention struct {\n\tPolicy             string `json:\"policy\"`      // \"delete\" or \"move\"\n\tAge                int    `json:\"age\"`         // hours, default 24\n\tTargetKind         string `json:\"target-kind\"` // \"file\" or \"s3\"\n\tTargetPath         string `json:\"target-path\"`\n\tTargetEndpoint     string `json:\"target-endpoint\"`\n\tTargetBucket       string `json:\"target-bucket\"`\n\tTargetAccessKey    string `json:\"target-access-key\"`\n\tTargetSecretKey    string `json:\"target-secret-key\"`\n\tTargetRegion       string `json:\"target-region\"`\n\tTargetUsePathStyle bool   `json:\"target-use-path-style\"`\n\tMaxFileSizeMB      int    `json:\"max-file-size-mb\"`\n}\n\ntype ResampleConfig struct {\n\t// Minimum number of points to trigger resampling of data\n\tMinimumPoints int `json:\"minimum-points\"`\n\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n\tResolutions []int `json:\"resolutions\"`\n\t// Trigger next zoom level at less than this many visible datapoints\n\tTrigger int `json:\"trigger\"`\n}\n\ntype NATSConfig struct {\n\tSubjectJobEvent  string `json:\"subject-job-event\"`\n\tSubjectNodeState string `json:\"subject-node-state\"`\n}\n\ntype IntRange struct {\n\tFrom int `json:\"from\"`\n\tTo   int `json:\"to\"`\n}\n\ntype TimeRange struct {\n\tFrom  *time.Time `json:\"from\"`\n\tTo    *time.Time `json:\"to\"`\n\tRange string     `json:\"range,omitempty\"`\n}\n\ntype FilterRanges struct {\n\tDuration  *IntRange  `json:\"duration\"`\n\tNumNodes  *IntRange  `json:\"num-nodes\"`\n\tStartTime *TimeRange `json:\"start-time\"`\n}\n\nvar Keys ProgramConfig = ProgramConfig{\n\tAddr:                      \"localhost:8080\",\n\tEmbedStaticFiles:          true,\n\tDB:                        \"./var/job.db\",\n\tSessionMaxAge:             \"168h\",\n\tStopJobsExceedingWalltime: 0,\n\tShortRunningJobsDuration:  5 * 60,\n}\n\nfunc Init(mainConfig json.RawMessage) {\n\tValidate(configSchema, mainConfig)\n\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&Keys); err != nil {\n\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n\t}\n\n\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n\t}\n}\n","numLines":160,"startLine":1,"totalLines":160}},"sourceToolAssistantUUID":"c413343b-ab3c-4a93-bcb8-14d1fb769e6f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"}
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+{"parentUuid":"a6f808f5-8c35-4ef8-84ae-b847fc9759af","isSidechain":false,"promptId":"66979d8d-658a-487e-82d6-dc570b03867c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YPWWA5ktAETM7uGAAxrjmX","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"database/sql\"\n    10→\t\"encoding/json\"\n    11→\t\"strings\"\n    12→\t\"sync\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n    21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n    23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    24→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n    25→)\n    26→\n    27→// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n    28→// It mirrors the functionality of the REST API but uses NATS messaging with\n    29→// InfluxDB line protocol as the message format.\n    30→//\n    31→// # Message Format\n    32→//\n    33→// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n    34→// with the following structure:\n    35→//\n    36→//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n    37→//\n    38→// # Job Events\n    39→//\n    40→// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n    41→//\n    42→//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n    43→//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n    44→//\n    45→// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n    46→//\n    47→// Example job start message:\n    48→//\n    49→//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n    50→//\n    51→// # Node State Events\n    52→//\n    53→// Node state updates use the \"nodestate\" measurement with cluster information:\n    54→//\n    55→//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n    56→//\n    57→// The JSON payload follows the UpdateNodeStatesRequest structure.\n    58→//\n    59→// Example node state message:\n    60→//\n    61→//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\n    62→type NatsAPI struct {\n    63→\tJobRepository *repository.JobRepository\n    64→\t// RepositoryMutex protects job creation operations from race conditions\n    65→\t// when checking for duplicate jobs during startJob calls.\n    66→\tRepositoryMutex sync.Mutex\n    67→\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n    68→\t// when the database is under contention.\n    69→\tjobSem chan struct{}\n    70→\t// nodeSem limits concurrent NATS node state processing.\n    71→\tnodeSem chan struct{}\n    72→}\n    73→\n    74→// NewNatsAPI creates a new NatsAPI instance with default dependencies.\n    75→func NewNatsAPI() *NatsAPI {\n    76→\treturn &NatsAPI{\n    77→\t\tJobRepository: repository.GetJobRepository(),\n    78→\t\tjobSem:        make(chan struct{}, 8),\n    79→\t\tnodeSem:       make(chan struct{}, 2),\n    80→\t}\n    81→}\n    82→\n    83→// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n    84→// Returns an error if the NATS client is not available or subscription fails.\n    85→func (api *NatsAPI) StartSubscriptions() error {\n    86→\tclient := nats.GetClient()\n    87→\tif client == nil {\n    88→\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n    89→\t\treturn nil\n    90→\t}\n    91→\n    92→\tif config.Keys.APISubjects != nil {\n    93→\n    94→\t\ts := config.Keys.APISubjects\n    95→\n    96→\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n    97→\t\t\treturn err\n    98→\t\t}\n    99→\n   100→\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n   101→\t\t\treturn err\n   102→\t\t}\n   103→\n   104→\t\tcclog.Info(\"NATS API subscriptions started\")\n   105→\t}\n   106→\treturn nil\n   107→}\n   108→\n   109→// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n   110→// Validates that required tags and fields are present before processing.\n   111→func (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n   112→\tfunction, ok := msg.GetTag(\"function\")\n   113→\tif !ok {\n   114→\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n   115→\t\treturn\n   116→\t}\n   117→\n   118→\tswitch function {\n   119→\tcase \"start_job\":\n   120→\t\tv, ok := msg.GetEventValue()\n   121→\t\tif !ok {\n   122→\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n   123→\t\t\treturn\n   124→\t\t}\n   125→\t\tapi.handleStartJob(v)\n   126→\n   127→\tcase \"stop_job\":\n   128→\t\tv, ok := msg.GetEventValue()\n   129→\t\tif !ok {\n   130→\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n   131→\t\t\treturn\n   132→\t\t}\n   133→\t\tapi.handleStopJob(v)\n   134→\n   135→\tdefault:\n   136→\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n   137→\t}\n   138→}\n   139→\n   140→// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n   141→// The message must be in line protocol format with measurement=\"job\" and include:\n   142→//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n   143→//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n   144→//\n   145→// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\n   146→func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n   147→\tapi.jobSem <- struct{}{}\n   148→\tdefer func() { <-api.jobSem }()\n   149→\n   150→\tif len(data) == 0 {\n   151→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n   152→\t\treturn\n   153→\t}\n   154→\n   155→\td := influx.NewDecoderWithBytes(data)\n   156→\n   157→\tfor d.Next() {\n   158→\t\tm, err := receivers.DecodeInfluxMessage(d)\n   159→\t\tif err != nil {\n   160→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n   161→\t\t\treturn\n   162→\t\t}\n   163→\n   164→\t\tif !m.IsEvent() {\n   165→\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n   166→\t\t\tcontinue\n   167→\t\t}\n   168→\n   169→\t\tif m.Name() == \"job\" {\n   170→\t\t\tapi.processJobEvent(m)\n   171→\t\t} else {\n   172→\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n   173→\t\t}\n   174→\t}\n   175→}\n   176→\n   177→// handleStartJob processes job start messages received via NATS.\n   178→// The payload parameter contains JSON following the schema.Job structure.\n   179→// Jobs are validated, checked for duplicates, and inserted into the database.\n   180→func (api *NatsAPI) handleStartJob(payload string) {\n   181→\tif payload == \"\" {\n   182→\t\tcclog.Error(\"NATS start job: payload is empty\")\n   183→\t\treturn\n   184→\t}\n   185→\treq := schema.Job{\n   186→\t\tShared:           \"none\",\n   187→\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n   188→\t}\n   189→\n   190→\tdec := json.NewDecoder(strings.NewReader(payload))\n   191→\tdec.DisallowUnknownFields()\n   192→\tif err := dec.Decode(&req); err != nil {\n   193→\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n   194→\t\treturn\n   195→\t}\n   196→\n   197→\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n   198→\treq.State = schema.JobStateRunning\n   199→\n   200→\tif err := importer.SanityChecks(&req); err != nil {\n   201→\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n   202→\t\treturn\n   203→\t}\n   204→\n   205→\tvar unlockOnce sync.Once\n   206→\tapi.RepositoryMutex.Lock()\n   207→\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n   208→\n   209→\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n   210→\tif err != nil && err != sql.ErrNoRows {\n   211→\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n   212→\t\treturn\n   213→\t}\n   214→\tif err == nil {\n   215→\t\tfor _, job := range jobs {\n   216→\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n   217→\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n   218→\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n   219→\t\t\t\treturn\n   220→\t\t\t}\n   221→\t\t}\n   222→\t}\n   223→\n   224→\t// When tags are present, insert directly into the job table so that the\n   225→\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n   226→\tvar id int64\n   227→\tif len(req.Tags) > 0 {\n   228→\t\tid, err = api.JobRepository.StartDirect(&req)\n   229→\t} else {\n   230→\t\tid, err = api.JobRepository.Start(&req)\n   231→\t}\n   232→\tif err != nil {\n   233→\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n   234→\t\treturn\n   235→\t}\n   236→\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n   237→\n   238→\tfor _, tag := range req.Tags {\n   239→\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n   240→\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n   241→\t\t\treturn\n   242→\t\t}\n   243→\t}\n   244→\n   245→\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n   246→\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n   247→}\n   248→\n   249→// handleStopJob processes job stop messages received via NATS.\n   250→// The payload parameter contains JSON following the StopJobAPIRequest structure.\n   251→// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\n   252→func (api *NatsAPI) handleStopJob(payload string) {\n   253→\tif payload == \"\" {\n   254→\t\tcclog.Error(\"NATS stop job: payload is empty\")\n   255→\t\treturn\n   256→\t}\n   257→\tvar req StopJobAPIRequest\n   258→\n   259→\tdec := json.NewDecoder(strings.NewReader(payload))\n   260→\tdec.DisallowUnknownFields()\n   261→\tif err := dec.Decode(&req); err != nil {\n   262→\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n   263→\t\treturn\n   264→\t}\n   265→\n   266→\tif req.JobID == nil {\n   267→\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n   268→\t\treturn\n   269→\t}\n   270→\n   271→\tisCached := false\n   272→\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n   273→\tif err != nil {\n   274→\t\t// Not in cache, try main job table\n   275→\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n   276→\t\tif err != nil {\n   277→\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n   278→\t\t\treturn\n   279→\t\t}\n   280→\t} else {\n   281→\t\tisCached = true\n   282→\t}\n   283→\n   284→\tif job.State != schema.JobStateRunning {\n   285→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n   286→\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n   287→\t\treturn\n   288→\t}\n   289→\n   290→\tif job.StartTime > req.StopTime {\n   291→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n   292→\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n   293→\t\treturn\n   294→\t}\n   295→\n   296→\tif req.State != \"\" && !req.State.Valid() {\n   297→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n   298→\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n   299→\t\treturn\n   300→\t} else if req.State == \"\" {\n   301→\t\treq.State = schema.JobStateCompleted\n   302→\t}\n   303→\n   304→\tjob.Duration = int32(req.StopTime - job.StartTime)\n   305→\tjob.State = req.State\n   306→\tapi.JobRepository.Mutex.Lock()\n   307→\tdefer api.JobRepository.Mutex.Unlock()\n   308→\n   309→\t// If the job is still in job_cache, transfer it to the job table first\n   310→\tif isCached {\n   311→\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n   312→\t\tif err != nil {\n   313→\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n   314→\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n   315→\t\t\treturn\n   316→\t\t}\n   317→\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n   318→\t\tjob.ID = &newID\n   319→\t}\n   320→\n   321→\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n   322→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n   323→\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n   324→\t\treturn\n   325→\t}\n   326→\n   327→\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n   328→\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n   329→\n   330→\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n   331→\t\treturn\n   332→\t}\n   333→\n   334→\tarchiver.TriggerArchiving(job)\n   335→}\n   336→\n   337→// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n   338→// Updates node states in the repository for all nodes in the payload.\n   339→func (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n   340→\tv, ok := msg.GetEventValue()\n   341→\tif !ok {\n   342→\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n   343→\t\treturn\n   344→\t}\n   345→\n   346→\tvar req UpdateNodeStatesRequest\n   347→\n   348→\tdec := json.NewDecoder(strings.NewReader(v))\n   349→\tdec.DisallowUnknownFields()\n   350→\tif err := dec.Decode(&req); err != nil {\n   351→\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n   352→\t\treturn\n   353→\t}\n   354→\n   355→\trepo := repository.GetNodeRepository()\n   356→\trequestReceived := time.Now().Unix()\n   357→\n   358→\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n   359→\tfor _, node := range req.Nodes {\n   360→\t\tstate := determineState(node.States)\n   361→\t\tnodeState := schema.NodeStateDB{\n   362→\t\t\tTimeStamp:       requestReceived,\n   363→\t\t\tNodeState:       state,\n   364→\t\t\tCpusAllocated:   node.CpusAllocated,\n   365→\t\t\tMemoryAllocated: node.MemoryAllocated,\n   366→\t\t\tGpusAllocated:   node.GpusAllocated,\n   367→\t\t\tHealthState:     schema.MonitoringStateFull,\n   368→\t\t\tJobsRunning:     node.JobsRunning,\n   369→\t\t}\n   370→\t\tupdates = append(updates, repository.NodeStateUpdate{\n   371→\t\t\tHostname:  node.Hostname,\n   372→\t\t\tCluster:   req.Cluster,\n   373→\t\t\tNodeState: &nodeState,\n   374→\t\t})\n   375→\t}\n   376→\n   377→\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n   378→\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n   379→\t}\n   380→\n   381→\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n   382→}\n   383→\n   384→// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n   385→// The message must be in line protocol format with measurement=\"nodestate\" and include:\n   386→//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n   387→//\n   388→// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\n   389→func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n   390→\tapi.nodeSem <- struct{}{}\n   391→\tdefer func() { <-api.nodeSem }()\n   392→\n   393→\tif len(data) == 0 {\n   394→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n   395→\t\treturn\n   396→\t}\n   397→\n   398→\td := influx.NewDecoderWithBytes(data)\n   399→\n   400→\tfor d.Next() {\n   401→\t\tm, err := receivers.DecodeInfluxMessage(d)\n   402→\t\tif err != nil {\n   403→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n   404→\t\t\treturn\n   405→\t\t}\n   406→\n   407→\t\tif !m.IsEvent() {\n   408→\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n   409→\t\t\tcontinue\n   410→\t\t}\n   411→\n   412→\t\tif m.Name() == \"nodestate\" {\n   413→\t\t\tapi.processNodestateEvent(m)\n   414→\t\t} else {\n   415→\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n   416→\t\t}\n   417→\t}\n   418→}\n   419→"}]},"uuid":"6e4cea44-fa83-4f16-a40f-4664f221c019","timestamp":"2026-03-16T10:50:59.566Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n\t// when the database is under contention.\n\tjobSem chan struct{}\n\t// nodeSem limits concurrent NATS node state processing.\n\tnodeSem chan struct{}\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobSem:        make(chan struct{}, 8),\n\t\tnodeSem:       make(chan struct{}, 2),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tapi.jobSem <- struct{}{}\n\tdefer func() { <-api.jobSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tapi.nodeSem <- struct{}{}\n\tdefer func() { <-api.nodeSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","numLines":419,"startLine":1,"totalLines":419}},"sourceToolAssistantUUID":"a6f808f5-8c35-4ef8-84ae-b847fc9759af","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"}
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+{"parentUuid":"7aafecec-1756-456c-9a0e-de007dab36ea","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01GGPNfPQDrtZ2pjC8hdkK1N","toolUseID":"toolu_01GGPNfPQDrtZ2pjC8hdkK1N","timestamp":"2026-03-16T10:50:59.890Z","uuid":"d8b445f0-3869-4958-9b45-fe7b15bc77b6","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"}
+{"parentUuid":"7aafecec-1756-456c-9a0e-de007dab36ea","isSidechain":false,"promptId":"66979d8d-658a-487e-82d6-dc570b03867c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GGPNfPQDrtZ2pjC8hdkK1N","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package api\n     6→\n     7→import (\n     8→\t\"context\"\n     9→\t\"database/sql\"\n    10→\t\"encoding/json\"\n    11→\t\"fmt\"\n    12→\t\"os\"\n    13→\t\"path/filepath\"\n    14→\t\"testing\"\n    15→\t\"time\"\n    16→\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n    19→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    20→\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n    21→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    22→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    23→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n    24→\tccconf \"github.com/ClusterCockpit/cc-lib/v2/ccConfig\"\n    25→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    26→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n    27→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    28→\n    29→\t_ \"github.com/mattn/go-sqlite3\"\n    30→)\n    31→\n    32→func setupNatsTest(t *testing.T) *NatsAPI {\n    33→\trepository.ResetConnection()\n    34→\n    35→\tconst testconfig = `{\n    36→\t\t\"main\": {\n    37→\t\"addr\":            \"0.0.0.0:8080\",\n    38→\t\"validate\": false,\n    39→  \"api-allowed-ips\": [\n    40→    \"*\"\n    41→  ]\n    42→\t},\n    43→\t\"archive\": {\n    44→\t\t\"kind\": \"file\",\n    45→\t\t\"path\": \"./var/job-archive\"\n    46→\t},\n    47→\t\"auth\": {\n    48→  \"jwts\": {\n    49→      \"max-age\": \"2m\"\n    50→  }\n    51→\t}\n    52→}`\n    53→\tconst testclusterJSON = `{\n    54→        \"name\": \"testcluster\",\n    55→\t\t\"subClusters\": [\n    56→\t\t\t{\n    57→\t\t\t\t\"name\": \"sc1\",\n    58→\t\t\t\t\"nodes\": \"host123,host124,host125\",\n    59→\t\t\t\t\"processorType\": \"Intel Core i7-4770\",\n    60→\t\t\t\t\"socketsPerNode\": 1,\n    61→\t\t\t\t\"coresPerSocket\": 4,\n    62→\t\t\t\t\"threadsPerCore\": 2,\n    63→                \"flopRateScalar\": {\n    64→                  \"unit\": {\n    65→                    \"prefix\": \"G\",\n    66→                    \"base\": \"F/s\"\n    67→                  },\n    68→                  \"value\": 14\n    69→                },\n    70→                \"flopRateSimd\": {\n    71→                  \"unit\": {\n    72→                    \"prefix\": \"G\",\n    73→                    \"base\": \"F/s\"\n    74→                  },\n    75→                  \"value\": 112\n    76→                },\n    77→                \"memoryBandwidth\": {\n    78→                  \"unit\": {\n    79→                    \"prefix\": \"G\",\n    80→                    \"base\": \"B/s\"\n    81→                  },\n    82→                  \"value\": 24\n    83→                },\n    84→                \"numberOfNodes\": 70,\n    85→\t\t\t\t\"topology\": {\n    86→\t\t\t\t\t\"node\": [0, 1, 2, 3, 4, 5, 6, 7],\n    87→\t\t\t\t\t\"socket\": [[0, 1, 2, 3, 4, 5, 6, 7]],\n    88→\t\t\t\t\t\"memoryDomain\": [[0, 1, 2, 3, 4, 5, 6, 7]],\n    89→\t\t\t\t\t\"die\": [[0, 1, 2, 3, 4, 5, 6, 7]],\n    90→\t\t\t\t\t\"core\": [[0], [1], [2], [3], [4], [5], [6], [7]]\n    91→\t\t\t\t}\n    92→\t\t\t}\n    93→\t\t],\n    94→\t\t\"metricConfig\": [\n    95→\t\t\t{\n    96→\t\t\t\t\"name\": \"load_one\",\n    97→\t\t\t    \"unit\": { \"base\": \"\"},\n    98→\t\t\t\t\"scope\": \"node\",\n    99→\t\t\t\t\"timestep\": 60,\n   100→                \"aggregation\": \"avg\",\n   101→\t\t\t\t\"peak\": 8,\n   102→\t\t\t\t\"normal\": 0,\n   103→\t\t\t\t\"caution\": 0,\n   104→\t\t\t\t\"alert\": 0\n   105→\t\t\t}\n   106→\t\t]\n   107→\t}`\n   108→\n   109→\tcclog.Init(\"info\", true)\n   110→\ttmpdir := t.TempDir()\n   111→\tjobarchive := filepath.Join(tmpdir, \"job-archive\")\n   112→\tif err := os.Mkdir(jobarchive, 0o777); err != nil {\n   113→\t\tt.Fatal(err)\n   114→\t}\n   115→\n   116→\tif err := os.WriteFile(filepath.Join(jobarchive, \"version.txt\"), fmt.Appendf(nil, \"%d\", 3), 0o666); err != nil {\n   117→\t\tt.Fatal(err)\n   118→\t}\n   119→\n   120→\tif err := os.Mkdir(filepath.Join(jobarchive, \"testcluster\"), 0o777); err != nil {\n   121→\t\tt.Fatal(err)\n   122→\t}\n   123→\n   124→\tif err := os.WriteFile(filepath.Join(jobarchive, \"testcluster\", \"cluster.json\"), []byte(testclusterJSON), 0o666); err != nil {\n   125→\t\tt.Fatal(err)\n   126→\t}\n   127→\n   128→\tdbfilepath := filepath.Join(tmpdir, \"test.db\")\n   129→\terr := repository.MigrateDB(dbfilepath)\n   130→\tif err != nil {\n   131→\t\tt.Fatal(err)\n   132→\t}\n   133→\n   134→\tcfgFilePath := filepath.Join(tmpdir, \"config.json\")\n   135→\tif err := os.WriteFile(cfgFilePath, []byte(testconfig), 0o666); err != nil {\n   136→\t\tt.Fatal(err)\n   137→\t}\n   138→\n   139→\tccconf.Init(cfgFilePath)\n   140→\n   141→\t// Load and check main configuration\n   142→\tif cfg := ccconf.GetPackageConfig(\"main\"); cfg != nil {\n   143→\t\tconfig.Init(cfg)\n   144→\t} else {\n   145→\t\tcclog.Abort(\"Main configuration must be present\")\n   146→\t}\n   147→\tarchiveCfg := fmt.Sprintf(\"{\\\"kind\\\": \\\"file\\\",\\\"path\\\": \\\"%s\\\"}\", jobarchive)\n   148→\n   149→\trepository.Connect(dbfilepath)\n   150→\n   151→\tif err := archive.Init(json.RawMessage(archiveCfg)); err != nil {\n   152→\t\tt.Fatal(err)\n   153→\t}\n   154→\n   155→\t// metricstore initialization removed - it's initialized via callback in tests\n   156→\n   157→\tarchiver.Start(repository.GetJobRepository(), context.Background())\n   158→\n   159→\tif cfg := ccconf.GetPackageConfig(\"auth\"); cfg != nil {\n   160→\t\tauth.Init(&cfg)\n   161→\t} else {\n   162→\t\tcclog.Warn(\"Authentication disabled due to missing configuration\")\n   163→\t\tauth.Init(nil)\n   164→\t}\n   165→\n   166→\tgraph.Init()\n   167→\n   168→\treturn NewNatsAPI()\n   169→}\n   170→\n   171→func cleanupNatsTest() {\n   172→\tif err := archiver.Shutdown(5 * time.Second); err != nil {\n   173→\t\tcclog.Warnf(\"Archiver shutdown timeout in tests: %v\", err)\n   174→\t}\n   175→}\n   176→\n   177→func TestNatsHandleStartJob(t *testing.T) {\n   178→\tnatsAPI := setupNatsTest(t)\n   179→\tt.Cleanup(cleanupNatsTest)\n   180→\n   181→\ttests := []struct {\n   182→\t\tname          string\n   183→\t\tpayload       string\n   184→\t\texpectError   bool\n   185→\t\tvalidateJob   func(t *testing.T, job *schema.Job)\n   186→\t\tshouldFindJob bool\n   187→\t}{\n   188→\t\t{\n   189→\t\t\tname: \"valid job start\",\n   190→\t\t\tpayload: `{\n   191→\t\t\t\t\"jobId\": 1001,\n   192→\t\t\t\t\"user\": \"testuser1\",\n   193→\t\t\t\t\"project\": \"testproj1\",\n   194→\t\t\t\t\"cluster\": \"testcluster\",\n   195→\t\t\t\t\"partition\": \"main\",\n   196→\t\t\t\t\"walltime\": 7200,\n   197→\t\t\t\t\"numNodes\": 1,\n   198→\t\t\t\t\"numHwthreads\": 8,\n   199→\t\t\t\t\"numAcc\": 0,\n   200→\t\t\t\t\"shared\": \"none\",\n   201→\t\t\t\t\"monitoringStatus\": 1,\n   202→\t\t\t\t\"smt\": 1,\n   203→\t\t\t\t\"resources\": [\n   204→\t\t\t\t\t{\n   205→\t\t\t\t\t\t\"hostname\": \"host123\",\n   206→\t\t\t\t\t\t\"hwthreads\": [0, 1, 2, 3, 4, 5, 6, 7]\n   207→\t\t\t\t\t}\n   208→\t\t\t\t],\n   209→\t\t\t\t\"startTime\": 1234567890\n   210→\t\t\t}`,\n   211→\t\t\texpectError:   false,\n   212→\t\t\tshouldFindJob: true,\n   213→\t\t\tvalidateJob: func(t *testing.T, job *schema.Job) {\n   214→\t\t\t\tif job.JobID != 1001 {\n   215→\t\t\t\t\tt.Errorf(\"expected JobID 1001, got %d\", job.JobID)\n   216→\t\t\t\t}\n   217→\t\t\t\tif job.User != \"testuser1\" {\n   218→\t\t\t\t\tt.Errorf(\"expected user testuser1, got %s\", job.User)\n   219→\t\t\t\t}\n   220→\t\t\t\tif job.State != schema.JobStateRunning {\n   221→\t\t\t\t\tt.Errorf(\"expected state running, got %s\", job.State)\n   222→\t\t\t\t}\n   223→\t\t\t},\n   224→\t\t},\n   225→\t\t{\n   226→\t\t\tname: \"invalid JSON\",\n   227→\t\t\tpayload: `{\n   228→\t\t\t\t\"jobId\": \"not a number\",\n   229→\t\t\t\t\"user\": \"testuser2\"\n   230→\t\t\t}`,\n   231→\t\t\texpectError:   true,\n   232→\t\t\tshouldFindJob: false,\n   233→\t\t},\n   234→\t\t{\n   235→\t\t\tname: \"missing required fields\",\n   236→\t\t\tpayload: `{\n   237→\t\t\t\t\"jobId\": 1002\n   238→\t\t\t}`,\n   239→\t\t\texpectError:   true,\n   240→\t\t\tshouldFindJob: false,\n   241→\t\t},\n   242→\t\t{\n   243→\t\t\tname: \"job with unknown fields (should fail due to DisallowUnknownFields)\",\n   244→\t\t\tpayload: `{\n   245→\t\t\t\t\"jobId\": 1003,\n   246→\t\t\t\t\"user\": \"testuser3\",\n   247→\t\t\t\t\"project\": \"testproj3\",\n   248→\t\t\t\t\"cluster\": \"testcluster\",\n   249→\t\t\t\t\"partition\": \"main\",\n   250→\t\t\t\t\"walltime\": 3600,\n   251→\t\t\t\t\"numNodes\": 1,\n   252→\t\t\t\t\"numHwthreads\": 8,\n   253→\t\t\t\t\"unknownField\": \"should cause error\",\n   254→\t\t\t\t\"startTime\": 1234567900\n   255→\t\t\t}`,\n   256→\t\t\texpectError:   true,\n   257→\t\t\tshouldFindJob: false,\n   258→\t\t},\n   259→\t\t{\n   260→\t\t\tname: \"job with tags\",\n   261→\t\t\tpayload: `{\n   262→\t\t\t\t\"jobId\": 1004,\n   263→\t\t\t\t\"user\": \"testuser4\",\n   264→\t\t\t\t\"project\": \"testproj4\",\n   265→\t\t\t\t\"cluster\": \"testcluster\",\n   266→\t\t\t\t\"partition\": \"main\",\n   267→\t\t\t\t\"walltime\": 3600,\n   268→\t\t\t\t\"numNodes\": 1,\n   269→\t\t\t\t\"numHwthreads\": 8,\n   270→\t\t\t\t\"numAcc\": 0,\n   271→\t\t\t\t\"shared\": \"none\",\n   272→\t\t\t\t\"monitoringStatus\": 1,\n   273→\t\t\t\t\"smt\": 1,\n   274→\t\t\t\t\"resources\": [\n   275→\t\t\t\t\t{\n   276→\t\t\t\t\t\t\"hostname\": \"host123\",\n   277→\t\t\t\t\t\t\"hwthreads\": [0, 1, 2, 3]\n   278→\t\t\t\t\t}\n   279→\t\t\t\t],\n   280→\t\t\t\t\"tags\": [\n   281→\t\t\t\t\t{\n   282→\t\t\t\t\t\t\"type\": \"test\",\n   283→\t\t\t\t\t\t\"name\": \"testtag\",\n   284→\t\t\t\t\t\t\"scope\": \"testuser4\"\n   285→\t\t\t\t\t}\n   286→\t\t\t\t],\n   287→\t\t\t\t\"startTime\": 1234567910\n   288→\t\t\t}`,\n   289→\t\t\texpectError:   false,\n   290→\t\t\tshouldFindJob: true,\n   291→\t\t\tvalidateJob: func(t *testing.T, job *schema.Job) {\n   292→\t\t\t\tif job.JobID != 1004 {\n   293→\t\t\t\t\tt.Errorf(\"expected JobID 1004, got %d\", job.JobID)\n   294→\t\t\t\t}\n   295→\t\t\t},\n   296→\t\t},\n   297→\t}\n   298→\n   299→\tfor _, tt := range tests {\n   300→\t\tt.Run(tt.name, func(t *testing.T) {\n   301→\t\t\tnatsAPI.handleStartJob(tt.payload)\n   302→\t\t\tnatsAPI.JobRepository.SyncJobs()\n   303→\n   304→\t\t\t// Allow some time for async operations\n   305→\t\t\ttime.Sleep(100 * time.Millisecond)\n   306→\n   307→\t\t\tif tt.shouldFindJob {\n   308→\t\t\t\t// Extract jobId from payload\n   309→\t\t\t\tvar payloadMap map[string]any\n   310→\t\t\t\tjson.Unmarshal([]byte(tt.payload), &payloadMap)\n   311→\t\t\t\tjobID := int64(payloadMap[\"jobId\"].(float64))\n   312→\t\t\t\tcluster := payloadMap[\"cluster\"].(string)\n   313→\t\t\t\tstartTime := int64(payloadMap[\"startTime\"].(float64))\n   314→\n   315→\t\t\t\tjob, err := natsAPI.JobRepository.Find(&jobID, &cluster, &startTime)\n   316→\t\t\t\tif err != nil {\n   317→\t\t\t\t\tif !tt.expectError {\n   318→\t\t\t\t\t\tt.Fatalf(\"expected to find job, but got error: %v\", err)\n   319→\t\t\t\t\t}\n   320→\t\t\t\t\treturn\n   321→\t\t\t\t}\n   322→\n   323→\t\t\t\tif tt.validateJob != nil {\n   324→\t\t\t\t\ttt.validateJob(t, job)\n   325→\t\t\t\t}\n   326→\t\t\t}\n   327→\t\t})\n   328→\t}\n   329→}\n   330→\n   331→func TestNatsHandleStopJob(t *testing.T) {\n   332→\tnatsAPI := setupNatsTest(t)\n   333→\tt.Cleanup(cleanupNatsTest)\n   334→\n   335→\t// First, create a running job\n   336→\tstartPayload := `{\n   337→\t\t\"jobId\": 2001,\n   338→\t\t\"user\": \"testuser\",\n   339→\t\t\"project\": \"testproj\",\n   340→\t\t\"cluster\": \"testcluster\",\n   341→\t\t\"partition\": \"main\",\n   342→\t\t\"walltime\": 3600,\n   343→\t\t\"numNodes\": 1,\n   344→\t\t\"numHwthreads\": 8,\n   345→\t\t\"numAcc\": 0,\n   346→\t\t\"shared\": \"none\",\n   347→\t\t\"monitoringStatus\": 1,\n   348→\t\t\"smt\": 1,\n   349→\t\t\"resources\": [\n   350→\t\t\t{\n   351→\t\t\t\t\"hostname\": \"host123\",\n   352→\t\t\t\t\"hwthreads\": [0, 1, 2, 3, 4, 5, 6, 7]\n   353→\t\t\t}\n   354→\t\t],\n   355→\t\t\"startTime\": 1234567890\n   356→\t}`\n   357→\n   358→\tnatsAPI.handleStartJob(startPayload)\n   359→\tnatsAPI.JobRepository.SyncJobs()\n   360→\ttime.Sleep(100 * time.Millisecond)\n   361→\n   362→\ttests := []struct {\n   363→\t\tname         string\n   364→\t\tpayload      string\n   365→\t\texpectError  bool\n   366→\t\tvalidateJob  func(t *testing.T, job *schema.Job)\n   367→\t\tsetupJobFunc func() // Optional: create specific test job\n   368→\t}{\n   369→\t\t{\n   370→\t\t\tname: \"valid job stop - completed\",\n   371→\t\t\tpayload: `{\n   372→\t\t\t\t\"jobId\": 2001,\n   373→\t\t\t\t\"cluster\": \"testcluster\",\n   374→\t\t\t\t\"startTime\": 1234567890,\n   375→\t\t\t\t\"jobState\": \"completed\",\n   376→\t\t\t\t\"stopTime\": 1234571490\n   377→\t\t\t}`,\n   378→\t\t\texpectError: false,\n   379→\t\t\tvalidateJob: func(t *testing.T, job *schema.Job) {\n   380→\t\t\t\tif job.State != schema.JobStateCompleted {\n   381→\t\t\t\t\tt.Errorf(\"expected state completed, got %s\", job.State)\n   382→\t\t\t\t}\n   383→\t\t\t\texpectedDuration := int32(1234571490 - 1234567890)\n   384→\t\t\t\tif job.Duration != expectedDuration {\n   385→\t\t\t\t\tt.Errorf(\"expected duration %d, got %d\", expectedDuration, job.Duration)\n   386→\t\t\t\t}\n   387→\t\t\t},\n   388→\t\t},\n   389→\t\t{\n   390→\t\t\tname: \"valid job stop - failed\",\n   391→\t\t\tsetupJobFunc: func() {\n   392→\t\t\t\tstartPayloadFailed := `{\n   393→\t\t\t\t\t\"jobId\": 2002,\n   394→\t\t\t\t\t\"user\": \"testuser\",\n   395→\t\t\t\t\t\"project\": \"testproj\",\n   396→\t\t\t\t\t\"cluster\": \"testcluster\",\n   397→\t\t\t\t\t\"partition\": \"main\",\n   398→\t\t\t\t\t\"walltime\": 3600,\n   399→\t\t\t\t\t\"numNodes\": 1,\n   400→\t\t\t\t\t\"numHwthreads\": 8,\n   401→\t\t\t\t\t\"numAcc\": 0,\n   402→\t\t\t\t\t\"shared\": \"none\",\n   403→\t\t\t\t\t\"monitoringStatus\": 1,\n   404→\t\t\t\t\t\"smt\": 1,\n   405→\t\t\t\t\t\"resources\": [\n   406→\t\t\t\t\t\t{\n   407→\t\t\t\t\t\t\t\"hostname\": \"host123\",\n   408→\t\t\t\t\t\t\t\"hwthreads\": [0, 1, 2, 3]\n   409→\t\t\t\t\t\t}\n   410→\t\t\t\t\t],\n   411→\t\t\t\t\t\"startTime\": 1234567900\n   412→\t\t\t\t}`\n   413→\t\t\t\tnatsAPI.handleStartJob(startPayloadFailed)\n   414→\t\t\t\tnatsAPI.JobRepository.SyncJobs()\n   415→\t\t\t\ttime.Sleep(100 * time.Millisecond)\n   416→\t\t\t},\n   417→\t\t\tpayload: `{\n   418→\t\t\t\t\"jobId\": 2002,\n   419→\t\t\t\t\"cluster\": \"testcluster\",\n   420→\t\t\t\t\"startTime\": 1234567900,\n   421→\t\t\t\t\"jobState\": \"failed\",\n   422→\t\t\t\t\"stopTime\": 1234569900\n   423→\t\t\t}`,\n   424→\t\t\texpectError: false,\n   425→\t\t\tvalidateJob: func(t *testing.T, job *schema.Job) {\n   426→\t\t\t\tif job.State != schema.JobStateFailed {\n   427→\t\t\t\t\tt.Errorf(\"expected state failed, got %s\", job.State)\n   428→\t\t\t\t}\n   429→\t\t\t},\n   430→\t\t},\n   431→\t\t{\n   432→\t\t\tname: \"invalid JSON\",\n   433→\t\t\tpayload: `{\n   434→\t\t\t\t\"jobId\": \"not a number\"\n   435→\t\t\t}`,\n   436→\t\t\texpectError: true,\n   437→\t\t},\n   438→\t\t{\n   439→\t\t\tname: \"missing jobId\",\n   440→\t\t\tpayload: `{\n   441→\t\t\t\t\"cluster\": \"testcluster\",\n   442→\t\t\t\t\"jobState\": \"completed\",\n   443→\t\t\t\t\"stopTime\": 1234571490\n   444→\t\t\t}`,\n   445→\t\t\texpectError: true,\n   446→\t\t},\n   447→\t\t{\n   448→\t\t\tname: \"invalid job state\",\n   449→\t\t\tsetupJobFunc: func() {\n   450→\t\t\t\tstartPayloadInvalid := `{\n   451→\t\t\t\t\t\"jobId\": 2003,\n   452→\t\t\t\t\t\"user\": \"testuser\",\n   453→\t\t\t\t\t\"project\": \"testproj\",\n   454→\t\t\t\t\t\"cluster\": \"testcluster\",\n   455→\t\t\t\t\t\"partition\": \"main\",\n   456→\t\t\t\t\t\"walltime\": 3600,\n   457→\t\t\t\t\t\"numNodes\": 1,\n   458→\t\t\t\t\t\"numHwthreads\": 8,\n   459→\t\t\t\t\t\"numAcc\": 0,\n   460→\t\t\t\t\t\"shared\": \"none\",\n   461→\t\t\t\t\t\"monitoringStatus\": 1,\n   462→\t\t\t\t\t\"smt\": 1,\n   463→\t\t\t\t\t\"resources\": [\n   464→\t\t\t\t\t\t{\n   465→\t\t\t\t\t\t\t\"hostname\": \"host123\",\n   466→\t\t\t\t\t\t\t\"hwthreads\": [0, 1]\n   467→\t\t\t\t\t\t}\n   468→\t\t\t\t\t],\n   469→\t\t\t\t\t\"startTime\": 1234567910\n   470→\t\t\t\t}`\n   471→\t\t\t\tnatsAPI.handleStartJob(startPayloadInvalid)\n   472→\t\t\t\tnatsAPI.JobRepository.SyncJobs()\n   473→\t\t\t\ttime.Sleep(100 * time.Millisecond)\n   474→\t\t\t},\n   475→\t\t\tpayload: `{\n   476→\t\t\t\t\"jobId\": 2003,\n   477→\t\t\t\t\"cluster\": \"testcluster\",\n   478→\t\t\t\t\"startTime\": 1234567910,\n   479→\t\t\t\t\"jobState\": \"invalid_state\",\n   480→\t\t\t\t\"stopTime\": 1234571510\n   481→\t\t\t}`,\n   482→\t\t\texpectError: true,\n   483→\t\t},\n   484→\t\t{\n   485→\t\t\tname: \"stopTime before startTime\",\n   486→\t\t\tsetupJobFunc: func() {\n   487→\t\t\t\tstartPayloadTime := `{\n   488→\t\t\t\t\t\"jobId\": 2004,\n   489→\t\t\t\t\t\"user\": \"testuser\",\n   490→\t\t\t\t\t\"project\": \"testproj\",\n   491→\t\t\t\t\t\"cluster\": \"testcluster\",\n   492→\t\t\t\t\t\"partition\": \"main\",\n   493→\t\t\t\t\t\"walltime\": 3600,\n   494→\t\t\t\t\t\"numNodes\": 1,\n   495→\t\t\t\t\t\"numHwthreads\": 8,\n   496→\t\t\t\t\t\"numAcc\": 0,\n   497→\t\t\t\t\t\"shared\": \"none\",\n   498→\t\t\t\t\t\"monitoringStatus\": 1,\n   499→\t\t\t\t\t\"smt\": 1,\n   500→\t\t\t\t\t\"resources\": [\n   501→\t\t\t\t\t\t{\n   502→\t\t\t\t\t\t\t\"hostname\": \"host123\",\n   503→\t\t\t\t\t\t\t\"hwthreads\": [0]\n   504→\t\t\t\t\t\t}\n   505→\t\t\t\t\t],\n   506→\t\t\t\t\t\"startTime\": 1234567920\n   507→\t\t\t\t}`\n   508→\t\t\t\tnatsAPI.handleStartJob(startPayloadTime)\n   509→\t\t\t\tnatsAPI.JobRepository.SyncJobs()\n   510→\t\t\t\ttime.Sleep(100 * time.Millisecond)\n   511→\t\t\t},\n   512→\t\t\tpayload: `{\n   513→\t\t\t\t\"jobId\": 2004,\n   514→\t\t\t\t\"cluster\": \"testcluster\",\n   515→\t\t\t\t\"startTime\": 1234567920,\n   516→\t\t\t\t\"jobState\": \"completed\",\n   517→\t\t\t\t\"stopTime\": 1234567900\n   518→\t\t\t}`,\n   519→\t\t\texpectError: true,\n   520→\t\t},\n   521→\t\t{\n   522→\t\t\tname: \"job not found\",\n   523→\t\t\tpayload: `{\n   524→\t\t\t\t\"jobId\": 99999,\n   525→\t\t\t\t\"cluster\": \"testcluster\",\n   526→\t\t\t\t\"startTime\": 1234567890,\n   527→\t\t\t\t\"jobState\": \"completed\",\n   528→\t\t\t\t\"stopTime\": 1234571490\n   529→\t\t\t}`,\n   530→\t\t\texpectError: true,\n   531→\t\t},\n   532→\t}\n   533→\n   534→\ttestData := schema.JobData{\n   535→\t\t\"load_one\": map[schema.MetricScope]*schema.JobMetric{\n   536→\t\t\tschema.MetricScopeNode: {\n   537→\t\t\t\tUnit:     schema.Unit{Base: \"load\"},\n   538→\t\t\t\tTimestep: 60,\n   539→\t\t\t\tSeries: []schema.Series{\n   540→\t\t\t\t\t{\n   541→\t\t\t\t\t\tHostname:   \"host123\",\n   542→\t\t\t\t\t\tStatistics: schema.MetricStatistics{Min: 0.1, Avg: 0.2, Max: 0.3},\n   543→\t\t\t\t\t\tData:       []schema.Float{0.1, 0.1, 0.1, 0.2, 0.2, 0.2, 0.3, 0.3, 0.3},\n   544→\t\t\t\t\t},\n   545→\t\t\t\t},\n   546→\t\t\t},\n   547→\t\t},\n   548→\t}\n   549→\n   550→\tmetricstore.TestLoadDataCallback = func(job *schema.Job, metrics []string, scopes []schema.MetricScope, ctx context.Context, resolution int) (schema.JobData, error) {\n   551→\t\treturn testData, nil\n   552→\t}\n   553→\n   554→\tfor _, tt := range tests {\n   555→\t\tt.Run(tt.name, func(t *testing.T) {\n   556→\t\t\tif tt.setupJobFunc != nil {\n   557→\t\t\t\ttt.setupJobFunc()\n   558→\t\t\t}\n   559→\n   560→\t\t\tnatsAPI.handleStopJob(tt.payload)\n   561→\n   562→\t\t\t// Allow some time for async operations\n   563→\t\t\ttime.Sleep(100 * time.Millisecond)\n   564→\n   565→\t\t\tif !tt.expectError && tt.validateJob != nil {\n   566→\t\t\t\t// Extract job details from payload\n   567→\t\t\t\tvar payloadMap map[string]any\n   568→\t\t\t\tjson.Unmarshal([]byte(tt.payload), &payloadMap)\n   569→\t\t\t\tjobID := int64(payloadMap[\"jobId\"].(float64))\n   570→\t\t\t\tcluster := payloadMap[\"cluster\"].(string)\n   571→\n   572→\t\t\t\tvar startTime *int64\n   573→\t\t\t\tif st, ok := payloadMap[\"startTime\"]; ok {\n   574→\t\t\t\t\tt := int64(st.(float64))\n   575→\t\t\t\t\tstartTime = &t\n   576→\t\t\t\t}\n   577→\n   578→\t\t\t\tjob, err := natsAPI.JobRepository.Find(&jobID, &cluster, startTime)\n   579→\t\t\t\tif err != nil {\n   580→\t\t\t\t\tt.Fatalf(\"expected to find job, but got error: %v\", err)\n   581→\t\t\t\t}\n   582→\n   583→\t\t\t\ttt.validateJob(t, job)\n   584→\t\t\t}\n   585→\t\t})\n   586→\t}\n   587→}\n   588→\n   589→func TestNatsHandleNodeState(t *testing.T) {\n   590→\tnatsAPI := setupNatsTest(t)\n   591→\tt.Cleanup(cleanupNatsTest)\n   592→\n   593→\ttests := []struct {\n   594→\t\tname        string\n   595→\t\tdata        []byte\n   596→\t\texpectError bool\n   597→\t\tvalidateFn  func(t *testing.T)\n   598→\t}{\n   599→\t\t{\n   600→\t\t\tname:        \"valid node state update\",\n   601→\t\t\tdata:        []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"host123\\\",\\\"states\\\":[\\\"allocated\\\"],\\\"cpusAllocated\\\":8,\\\"memoryAllocated\\\":16384,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":1}]}\" 1234567890000000000`),\n   602→\t\t\texpectError: false,\n   603→\t\t\tvalidateFn: func(t *testing.T) {\n   604→\t\t\t\t// In a full test, we would verify the node state was updated in the database\n   605→\t\t\t\t// For now, just ensure no error occurred\n   606→\t\t\t},\n   607→\t\t},\n   608→\t\t{\n   609→\t\t\tname:        \"multiple nodes\",\n   610→\t\t\tdata:        []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"host123\\\",\\\"states\\\":[\\\"idle\\\"],\\\"cpusAllocated\\\":0,\\\"memoryAllocated\\\":0,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":0},{\\\"hostname\\\":\\\"host124\\\",\\\"states\\\":[\\\"allocated\\\"],\\\"cpusAllocated\\\":4,\\\"memoryAllocated\\\":8192,\\\"gpusAllocated\\\":1,\\\"jobsRunning\\\":1}]}\" 1234567890000000000`),\n   611→\t\t\texpectError: false,\n   612→\t\t},\n   613→\t\t{\n   614→\t\t\tname:        \"invalid JSON in event field\",\n   615→\t\t\tdata:        []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":\\\"not an array\\\"}\" 1234567890000000000`),\n   616→\t\t\texpectError: true,\n   617→\t\t},\n   618→\t\t{\n   619→\t\t\tname:        \"empty nodes array\",\n   620→\t\t\tdata:        []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[]}\" 1234567890000000000`),\n   621→\t\t\texpectError: false, // Empty array should not cause error\n   622→\t\t},\n   623→\t\t{\n   624→\t\t\tname:        \"invalid line protocol format\",\n   625→\t\t\tdata:        []byte(`invalid line protocol format`),\n   626→\t\t\texpectError: true,\n   627→\t\t},\n   628→\t\t{\n   629→\t\t\tname:        \"empty data\",\n   630→\t\t\tdata:        []byte(``),\n   631→\t\t\texpectError: false, // Should be handled gracefully with warning\n   632→\t\t},\n   633→\t}\n   634→\n   635→\tfor _, tt := range tests {\n   636→\t\tt.Run(tt.name, func(t *testing.T) {\n   637→\t\t\tnatsAPI.handleNodeState(\"test.subject\", tt.data)\n   638→\n   639→\t\t\t// Allow some time for async operations\n   640→\t\t\ttime.Sleep(50 * time.Millisecond)\n   641→\n   642→\t\t\tif tt.validateFn != nil {\n   643→\t\t\t\ttt.validateFn(t)\n   644→\t\t\t}\n   645→\t\t})\n   646→\t}\n   647→}\n   648→\n   649→func TestNatsProcessJobEvent(t *testing.T) {\n   650→\tnatsAPI := setupNatsTest(t)\n   651→\tt.Cleanup(cleanupNatsTest)\n   652→\n   653→\tmsgStartJob, err := lp.NewMessage(\n   654→\t\t\"job\",\n   655→\t\tmap[string]string{\"function\": \"start_job\"},\n   656→\t\tnil,\n   657→\t\tmap[string]any{\n   658→\t\t\t\"event\": `{\n   659→\t\t\t\t\"jobId\": 3001,\n   660→\t\t\t\t\"user\": \"testuser\",\n   661→\t\t\t\t\"project\": \"testproj\",\n   662→\t\t\t\t\"cluster\": \"testcluster\",\n   663→\t\t\t\t\"partition\": \"main\",\n   664→\t\t\t\t\"walltime\": 3600,\n   665→\t\t\t\t\"numNodes\": 1,\n   666→\t\t\t\t\"numHwthreads\": 8,\n   667→\t\t\t\t\"numAcc\": 0,\n   668→\t\t\t\t\"shared\": \"none\",\n   669→\t\t\t\t\"monitoringStatus\": 1,\n   670→\t\t\t\t\"smt\": 1,\n   671→\t\t\t\t\"resources\": [\n   672→\t\t\t\t\t{\n   673→\t\t\t\t\t\t\"hostname\": \"host123\",\n   674→\t\t\t\t\t\t\"hwthreads\": [0, 1, 2, 3]\n   675→\t\t\t\t\t}\n   676→\t\t\t\t],\n   677→\t\t\t\t\"startTime\": 1234567890\n   678→\t\t\t}`,\n   679→\t\t},\n   680→\t\ttime.Now(),\n   681→\t)\n   682→\tif err != nil {\n   683→\t\tt.Fatalf(\"failed to create test message: %v\", err)\n   684→\t}\n   685→\n   686→\tmsgMissingTag, err := lp.NewMessage(\n   687→\t\t\"job\",\n   688→\t\tmap[string]string{},\n   689→\t\tnil,\n   690→\t\tmap[string]any{\n   691→\t\t\t\"event\": `{}`,\n   692→\t\t},\n   693→\t\ttime.Now(),\n   694→\t)\n   695→\tif err != nil {\n   696→\t\tt.Fatalf(\"failed to create test message: %v\", err)\n   697→\t}\n   698→\n   699→\tmsgUnknownFunc, err := lp.NewMessage(\n   700→\t\t\"job\",\n   701→\t\tmap[string]string{\"function\": \"unknown_function\"},\n   702→\t\tnil,\n   703→\t\tmap[string]any{\n   704→\t\t\t\"event\": `{}`,\n   705→\t\t},\n   706→\t\ttime.Now(),\n   707→\t)\n   708→\tif err != nil {\n   709→\t\tt.Fatalf(\"failed to create test message: %v\", err)\n   710→\t}\n   711→\n   712→\ttests := []struct {\n   713→\t\tname        string\n   714→\t\tmessage     lp.CCMessage\n   715→\t\texpectError bool\n   716→\t}{\n   717→\t\t{\n   718→\t\t\tname:        \"start_job function\",\n   719→\t\t\tmessage:     msgStartJob,\n   720→\t\t\texpectError: false,\n   721→\t\t},\n   722→\t\t{\n   723→\t\t\tname:        \"missing function tag\",\n   724→\t\t\tmessage:     msgMissingTag,\n   725→\t\t\texpectError: true,\n   726→\t\t},\n   727→\t\t{\n   728→\t\t\tname:        \"unknown function\",\n   729→\t\t\tmessage:     msgUnknownFunc,\n   730→\t\t\texpectError: false,\n   731→\t\t},\n   732→\t}\n   733→\n   734→\tfor _, tt := range tests {\n   735→\t\tt.Run(tt.name, func(t *testing.T) {\n   736→\t\t\tnatsAPI.processJobEvent(tt.message)\n   737→\t\t\ttime.Sleep(50 * time.Millisecond)\n   738→\t\t})\n   739→\t}\n   740→}\n   741→\n   742→func TestNatsHandleJobEvent(t *testing.T) {\n   743→\tnatsAPI := setupNatsTest(t)\n   744→\tt.Cleanup(cleanupNatsTest)\n   745→\n   746→\ttests := []struct {\n   747→\t\tname        string\n   748→\t\tdata        []byte\n   749→\t\texpectError bool\n   750→\t}{\n   751→\t\t{\n   752→\t\t\tname:        \"valid influx line protocol\",\n   753→\t\t\tdata:        []byte(`job,function=start_job event=\"{\\\"jobId\\\":4001,\\\"user\\\":\\\"testuser\\\",\\\"project\\\":\\\"testproj\\\",\\\"cluster\\\":\\\"testcluster\\\",\\\"partition\\\":\\\"main\\\",\\\"walltime\\\":3600,\\\"numNodes\\\":1,\\\"numHwthreads\\\":8,\\\"numAcc\\\":0,\\\"shared\\\":\\\"none\\\",\\\"monitoringStatus\\\":1,\\\"smt\\\":1,\\\"resources\\\":[{\\\"hostname\\\":\\\"host123\\\",\\\"hwthreads\\\":[0,1,2,3]}],\\\"startTime\\\":1234567890}\" 1234567890000000000`),\n   754→\t\t\texpectError: false,\n   755→\t\t},\n   756→\t\t{\n   757→\t\t\tname:        \"invalid influx line protocol\",\n   758→\t\t\tdata:        []byte(`invalid line protocol format`),\n   759→\t\t\texpectError: true,\n   760→\t\t},\n   761→\t\t{\n   762→\t\t\tname:        \"empty data\",\n   763→\t\t\tdata:        []byte(``),\n   764→\t\t\texpectError: false, // Decoder should handle empty input gracefully\n   765→\t\t},\n   766→\t}\n   767→\n   768→\tfor _, tt := range tests {\n   769→\t\tt.Run(tt.name, func(t *testing.T) {\n   770→\t\t\t// HandleJobEvent doesn't return errors, it logs them\n   771→\t\t\t// We're just ensuring it doesn't panic\n   772→\t\t\tnatsAPI.handleJobEvent(\"test.subject\", tt.data)\n   773→\t\t\ttime.Sleep(50 * time.Millisecond)\n   774→\t\t})\n   775→\t}\n   776→}\n   777→\n   778→func TestNatsHandleJobEventEdgeCases(t *testing.T) {\n   779→\tnatsAPI := setupNatsTest(t)\n   780→\tt.Cleanup(cleanupNatsTest)\n   781→\n   782→\ttests := []struct {\n   783→\t\tname        string\n   784→\t\tdata        []byte\n   785→\t\texpectError bool\n   786→\t\tdescription string\n   787→\t}{\n   788→\t\t{\n   789→\t\t\tname:        \"non-event message (metric data)\",\n   790→\t\t\tdata:        []byte(`job,function=start_job value=123.45 1234567890000000000`),\n   791→\t\t\texpectError: false,\n   792→\t\t\tdescription: \"Should skip non-event messages gracefully\",\n   793→\t\t},\n   794→\t\t{\n   795→\t\t\tname:        \"wrong measurement name\",\n   796→\t\t\tdata:        []byte(`wrongmeasurement,function=start_job event=\"{}\" 1234567890000000000`),\n   797→\t\t\texpectError: false,\n   798→\t\t\tdescription: \"Should warn about unexpected measurement but not fail\",\n   799→\t\t},\n   800→\t\t{\n   801→\t\t\tname:        \"missing event field\",\n   802→\t\t\tdata:        []byte(`job,function=start_job other_field=\"value\" 1234567890000000000`),\n   803→\t\t\texpectError: true,\n   804→\t\t\tdescription: \"Should error when event field is missing\",\n   805→\t\t},\n   806→\t\t{\n   807→\t\t\tname:        \"multiple measurements in one message\",\n   808→\t\t\tdata:        []byte(\"job,function=start_job event=\\\"{}\\\" 1234567890000000000\\njob,function=stop_job event=\\\"{}\\\" 1234567890000000000\"),\n   809→\t\t\texpectError: false,\n   810→\t\t\tdescription: \"Should process multiple lines\",\n   811→\t\t},\n   812→\t\t{\n   813→\t\t\tname:        \"escaped quotes in JSON payload\",\n   814→\t\t\tdata:        []byte(`job,function=start_job event=\"{\\\"jobId\\\":6001,\\\"user\\\":\\\"test\\\\\\\"user\\\",\\\"cluster\\\":\\\"test\\\"}\" 1234567890000000000`),\n   815→\t\t\texpectError: true,\n   816→\t\t\tdescription: \"Should handle escaped quotes (though JSON parsing may fail)\",\n   817→\t\t},\n   818→\t}\n   819→\n   820→\tfor _, tt := range tests {\n   821→\t\tt.Run(tt.name, func(t *testing.T) {\n   822→\t\t\tnatsAPI.handleJobEvent(\"test.subject\", tt.data)\n   823→\t\t\ttime.Sleep(50 * time.Millisecond)\n   824→\t\t})\n   825→\t}\n   826→}\n   827→\n   828→func TestNatsHandleNodeStateEdgeCases(t *testing.T) {\n   829→\tnatsAPI := setupNatsTest(t)\n   830→\tt.Cleanup(cleanupNatsTest)\n   831→\n   832→\ttests := []struct {\n   833→\t\tname        string\n   834→\t\tdata        []byte\n   835→\t\texpectError bool\n   836→\t\tdescription string\n   837→\t}{\n   838→\t\t{\n   839→\t\t\tname:        \"missing cluster field in JSON\",\n   840→\t\t\tdata:        []byte(`nodestate event=\"{\\\"nodes\\\":[]}\" 1234567890000000000`),\n   841→\t\t\texpectError: true,\n   842→\t\t\tdescription: \"Should fail when cluster is missing\",\n   843→\t\t},\n   844→\t\t{\n   845→\t\t\tname:        \"malformed JSON with unescaped quotes\",\n   846→\t\t\tdata:        []byte(`nodestate event=\"{\\\"cluster\\\":\\\"test\"cluster\\\",\\\"nodes\\\":[]}\" 1234567890000000000`),\n   847→\t\t\texpectError: true,\n   848→\t\t\tdescription: \"Should fail on malformed JSON\",\n   849→\t\t},\n   850→\t\t{\n   851→\t\t\tname:        \"unicode characters in hostname\",\n   852→\t\t\tdata:        []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"host-ñ123\\\",\\\"states\\\":[\\\"idle\\\"],\\\"cpusAllocated\\\":0,\\\"memoryAllocated\\\":0,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":0}]}\" 1234567890000000000`),\n   853→\t\t\texpectError: false,\n   854→\t\t\tdescription: \"Should handle unicode characters\",\n   855→\t\t},\n   856→\t\t{\n   857→\t\t\tname:        \"very large node count\",\n   858→\t\t\tdata:        []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node1\\\",\\\"states\\\":[\\\"idle\\\"],\\\"cpusAllocated\\\":0,\\\"memoryAllocated\\\":0,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":0},{\\\"hostname\\\":\\\"node2\\\",\\\"states\\\":[\\\"idle\\\"],\\\"cpusAllocated\\\":0,\\\"memoryAllocated\\\":0,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":0},{\\\"hostname\\\":\\\"node3\\\",\\\"states\\\":[\\\"idle\\\"],\\\"cpusAllocated\\\":0,\\\"memoryAllocated\\\":0,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":0}]}\" 1234567890000000000`),\n   859→\t\t\texpectError: false,\n   860→\t\t\tdescription: \"Should handle multiple nodes efficiently\",\n   861→\t\t},\n   862→\t\t{\n   863→\t\t\tname:        \"timestamp in past\",\n   864→\t\t\tdata:        []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[]}\" 1000000000000000000`),\n   865→\t\t\texpectError: false,\n   866→\t\t\tdescription: \"Should accept any valid timestamp\",\n   867→\t\t},\n   868→\t}\n   869→\n   870→\tfor _, tt := range tests {\n   871→\t\tt.Run(tt.name, func(t *testing.T) {\n   872→\t\t\tnatsAPI.handleNodeState(\"test.subject\", tt.data)\n   873→\t\t\ttime.Sleep(50 * time.Millisecond)\n   874→\t\t})\n   875→\t}\n   876→}\n   877→\n   878→func TestNatsHandleStartJobDuplicatePrevention(t *testing.T) {\n   879→\tnatsAPI := setupNatsTest(t)\n   880→\tt.Cleanup(cleanupNatsTest)\n   881→\n   882→\t// Start a job\n   883→\tpayload := `{\n   884→\t\t\"jobId\": 5001,\n   885→\t\t\"user\": \"testuser\",\n   886→\t\t\"project\": \"testproj\",\n   887→\t\t\"cluster\": \"testcluster\",\n   888→\t\t\"partition\": \"main\",\n   889→\t\t\"walltime\": 3600,\n   890→\t\t\"numNodes\": 1,\n   891→\t\t\"numHwthreads\": 8,\n   892→\t\t\"numAcc\": 0,\n   893→\t\t\"shared\": \"none\",\n   894→\t\t\"monitoringStatus\": 1,\n   895→\t\t\"smt\": 1,\n   896→\t\t\"resources\": [\n   897→\t\t\t{\n   898→\t\t\t\t\"hostname\": \"host123\",\n   899→\t\t\t\t\"hwthreads\": [0, 1, 2, 3]\n   900→\t\t\t}\n   901→\t\t],\n   902→\t\t\"startTime\": 1234567890\n   903→\t}`\n   904→\n   905→\tnatsAPI.handleStartJob(payload)\n   906→\tnatsAPI.JobRepository.SyncJobs()\n   907→\ttime.Sleep(100 * time.Millisecond)\n   908→\n   909→\t// Try to start the same job again (within 24 hours)\n   910→\tduplicatePayload := `{\n   911→\t\t\"jobId\": 5001,\n   912→\t\t\"user\": \"testuser\",\n   913→\t\t\"project\": \"testproj\",\n   914→\t\t\"cluster\": \"testcluster\",\n   915→\t\t\"partition\": \"main\",\n   916→\t\t\"walltime\": 3600,\n   917→\t\t\"numNodes\": 1,\n   918→\t\t\"numHwthreads\": 8,\n   919→\t\t\"numAcc\": 0,\n   920→\t\t\"shared\": \"none\",\n   921→\t\t\"monitoringStatus\": 1,\n   922→\t\t\"smt\": 1,\n   923→\t\t\"resources\": [\n   924→\t\t\t{\n   925→\t\t\t\t\"hostname\": \"host123\",\n   926→\t\t\t\t\"hwthreads\": [0, 1, 2, 3]\n   927→\t\t\t}\n   928→\t\t],\n   929→\t\t\"startTime\": 1234567900\n   930→\t}`\n   931→\n   932→\tnatsAPI.handleStartJob(duplicatePayload)\n   933→\tnatsAPI.JobRepository.SyncJobs()\n   934→\ttime.Sleep(100 * time.Millisecond)\n   935→\n   936→\t// Verify only one job exists\n   937→\tjobID := int64(5001)\n   938→\tcluster := \"testcluster\"\n   939→\tjobs, err := natsAPI.JobRepository.FindAll(&jobID, &cluster, nil)\n   940→\tif err != nil && err != sql.ErrNoRows {\n   941→\t\tt.Fatalf(\"unexpected error: %v\", err)\n   942→\t}\n   943→\n   944→\tif len(jobs) != 1 {\n   945→\t\tt.Errorf(\"expected 1 job, got %d\", len(jobs))\n   946→\t}\n   947→}\n   948→"}]},"uuid":"6bb94bed-c812-492c-b9db-832170db7863","timestamp":"2026-03-16T10:50:59.890Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats_test.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage api\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"testing\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\tccconf \"github.com/ClusterCockpit/cc-lib/v2/ccConfig\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\n\t_ \"github.com/mattn/go-sqlite3\"\n)\n\nfunc setupNatsTest(t *testing.T) *NatsAPI {\n\trepository.ResetConnection()\n\n\tconst testconfig = `{\n\t\t\"main\": {\n\t\"addr\":            \"0.0.0.0:8080\",\n\t\"validate\": false,\n  \"api-allowed-ips\": [\n    \"*\"\n  ]\n\t},\n\t\"archive\": {\n\t\t\"kind\": \"file\",\n\t\t\"path\": \"./var/job-archive\"\n\t},\n\t\"auth\": {\n  \"jwts\": {\n      \"max-age\": \"2m\"\n  }\n\t}\n}`\n\tconst testclusterJSON = `{\n        \"name\": \"testcluster\",\n\t\t\"subClusters\": [\n\t\t\t{\n\t\t\t\t\"name\": \"sc1\",\n\t\t\t\t\"nodes\": \"host123,host124,host125\",\n\t\t\t\t\"processorType\": \"Intel Core i7-4770\",\n\t\t\t\t\"socketsPerNode\": 1,\n\t\t\t\t\"coresPerSocket\": 4,\n\t\t\t\t\"threadsPerCore\": 2,\n                \"flopRateScalar\": {\n                  \"unit\": {\n                    \"prefix\": \"G\",\n                    \"base\": \"F/s\"\n                  },\n                  \"value\": 14\n                },\n                \"flopRateSimd\": {\n                  \"unit\": {\n                    \"prefix\": \"G\",\n                    \"base\": \"F/s\"\n                  },\n                  \"value\": 112\n                },\n                \"memoryBandwidth\": {\n                  \"unit\": {\n                    \"prefix\": \"G\",\n                    \"base\": \"B/s\"\n                  },\n                  \"value\": 24\n                },\n                \"numberOfNodes\": 70,\n\t\t\t\t\"topology\": {\n\t\t\t\t\t\"node\": [0, 1, 2, 3, 4, 5, 6, 7],\n\t\t\t\t\t\"socket\": [[0, 1, 2, 3, 4, 5, 6, 7]],\n\t\t\t\t\t\"memoryDomain\": [[0, 1, 2, 3, 4, 5, 6, 7]],\n\t\t\t\t\t\"die\": [[0, 1, 2, 3, 4, 5, 6, 7]],\n\t\t\t\t\t\"core\": [[0], [1], [2], [3], [4], [5], [6], [7]]\n\t\t\t\t}\n\t\t\t}\n\t\t],\n\t\t\"metricConfig\": [\n\t\t\t{\n\t\t\t\t\"name\": \"load_one\",\n\t\t\t    \"unit\": { \"base\": \"\"},\n\t\t\t\t\"scope\": \"node\",\n\t\t\t\t\"timestep\": 60,\n                \"aggregation\": \"avg\",\n\t\t\t\t\"peak\": 8,\n\t\t\t\t\"normal\": 0,\n\t\t\t\t\"caution\": 0,\n\t\t\t\t\"alert\": 0\n\t\t\t}\n\t\t]\n\t}`\n\n\tcclog.Init(\"info\", true)\n\ttmpdir := t.TempDir()\n\tjobarchive := filepath.Join(tmpdir, \"job-archive\")\n\tif err := os.Mkdir(jobarchive, 0o777); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tif err := os.WriteFile(filepath.Join(jobarchive, \"version.txt\"), fmt.Appendf(nil, \"%d\", 3), 0o666); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tif err := os.Mkdir(filepath.Join(jobarchive, \"testcluster\"), 0o777); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tif err := os.WriteFile(filepath.Join(jobarchive, \"testcluster\", \"cluster.json\"), []byte(testclusterJSON), 0o666); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tdbfilepath := filepath.Join(tmpdir, \"test.db\")\n\terr := repository.MigrateDB(dbfilepath)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tcfgFilePath := filepath.Join(tmpdir, \"config.json\")\n\tif err := os.WriteFile(cfgFilePath, []byte(testconfig), 0o666); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tccconf.Init(cfgFilePath)\n\n\t// Load and check main configuration\n\tif cfg := ccconf.GetPackageConfig(\"main\"); cfg != nil {\n\t\tconfig.Init(cfg)\n\t} else {\n\t\tcclog.Abort(\"Main configuration must be present\")\n\t}\n\tarchiveCfg := fmt.Sprintf(\"{\\\"kind\\\": \\\"file\\\",\\\"path\\\": \\\"%s\\\"}\", jobarchive)\n\n\trepository.Connect(dbfilepath)\n\n\tif err := archive.Init(json.RawMessage(archiveCfg)); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\t// metricstore initialization removed - it's initialized via callback in tests\n\n\tarchiver.Start(repository.GetJobRepository(), context.Background())\n\n\tif cfg := ccconf.GetPackageConfig(\"auth\"); cfg != nil {\n\t\tauth.Init(&cfg)\n\t} else {\n\t\tcclog.Warn(\"Authentication disabled due to missing configuration\")\n\t\tauth.Init(nil)\n\t}\n\n\tgraph.Init()\n\n\treturn NewNatsAPI()\n}\n\nfunc cleanupNatsTest() {\n\tif err := archiver.Shutdown(5 * time.Second); err != nil {\n\t\tcclog.Warnf(\"Archiver shutdown timeout in tests: %v\", err)\n\t}\n}\n\nfunc TestNatsHandleStartJob(t *testing.T) {\n\tnatsAPI := setupNatsTest(t)\n\tt.Cleanup(cleanupNatsTest)\n\n\ttests := []struct {\n\t\tname          string\n\t\tpayload       string\n\t\texpectError   bool\n\t\tvalidateJob   func(t *testing.T, job *schema.Job)\n\t\tshouldFindJob bool\n\t}{\n\t\t{\n\t\t\tname: \"valid job start\",\n\t\t\tpayload: `{\n\t\t\t\t\"jobId\": 1001,\n\t\t\t\t\"user\": \"testuser1\",\n\t\t\t\t\"project\": \"testproj1\",\n\t\t\t\t\"cluster\": \"testcluster\",\n\t\t\t\t\"partition\": \"main\",\n\t\t\t\t\"walltime\": 7200,\n\t\t\t\t\"numNodes\": 1,\n\t\t\t\t\"numHwthreads\": 8,\n\t\t\t\t\"numAcc\": 0,\n\t\t\t\t\"shared\": \"none\",\n\t\t\t\t\"monitoringStatus\": 1,\n\t\t\t\t\"smt\": 1,\n\t\t\t\t\"resources\": [\n\t\t\t\t\t{\n\t\t\t\t\t\t\"hostname\": \"host123\",\n\t\t\t\t\t\t\"hwthreads\": [0, 1, 2, 3, 4, 5, 6, 7]\n\t\t\t\t\t}\n\t\t\t\t],\n\t\t\t\t\"startTime\": 1234567890\n\t\t\t}`,\n\t\t\texpectError:   false,\n\t\t\tshouldFindJob: true,\n\t\t\tvalidateJob: func(t *testing.T, job *schema.Job) {\n\t\t\t\tif job.JobID != 1001 {\n\t\t\t\t\tt.Errorf(\"expected JobID 1001, got %d\", job.JobID)\n\t\t\t\t}\n\t\t\t\tif job.User != \"testuser1\" {\n\t\t\t\t\tt.Errorf(\"expected user testuser1, got %s\", job.User)\n\t\t\t\t}\n\t\t\t\tif job.State != schema.JobStateRunning {\n\t\t\t\t\tt.Errorf(\"expected state running, got %s\", job.State)\n\t\t\t\t}\n\t\t\t},\n\t\t},\n\t\t{\n\t\t\tname: \"invalid JSON\",\n\t\t\tpayload: `{\n\t\t\t\t\"jobId\": \"not a number\",\n\t\t\t\t\"user\": \"testuser2\"\n\t\t\t}`,\n\t\t\texpectError:   true,\n\t\t\tshouldFindJob: false,\n\t\t},\n\t\t{\n\t\t\tname: \"missing required fields\",\n\t\t\tpayload: `{\n\t\t\t\t\"jobId\": 1002\n\t\t\t}`,\n\t\t\texpectError:   true,\n\t\t\tshouldFindJob: false,\n\t\t},\n\t\t{\n\t\t\tname: \"job with unknown fields (should fail due to DisallowUnknownFields)\",\n\t\t\tpayload: `{\n\t\t\t\t\"jobId\": 1003,\n\t\t\t\t\"user\": \"testuser3\",\n\t\t\t\t\"project\": \"testproj3\",\n\t\t\t\t\"cluster\": \"testcluster\",\n\t\t\t\t\"partition\": \"main\",\n\t\t\t\t\"walltime\": 3600,\n\t\t\t\t\"numNodes\": 1,\n\t\t\t\t\"numHwthreads\": 8,\n\t\t\t\t\"unknownField\": \"should cause error\",\n\t\t\t\t\"startTime\": 1234567900\n\t\t\t}`,\n\t\t\texpectError:   true,\n\t\t\tshouldFindJob: false,\n\t\t},\n\t\t{\n\t\t\tname: \"job with tags\",\n\t\t\tpayload: `{\n\t\t\t\t\"jobId\": 1004,\n\t\t\t\t\"user\": \"testuser4\",\n\t\t\t\t\"project\": \"testproj4\",\n\t\t\t\t\"cluster\": \"testcluster\",\n\t\t\t\t\"partition\": \"main\",\n\t\t\t\t\"walltime\": 3600,\n\t\t\t\t\"numNodes\": 1,\n\t\t\t\t\"numHwthreads\": 8,\n\t\t\t\t\"numAcc\": 0,\n\t\t\t\t\"shared\": \"none\",\n\t\t\t\t\"monitoringStatus\": 1,\n\t\t\t\t\"smt\": 1,\n\t\t\t\t\"resources\": [\n\t\t\t\t\t{\n\t\t\t\t\t\t\"hostname\": \"host123\",\n\t\t\t\t\t\t\"hwthreads\": [0, 1, 2, 3]\n\t\t\t\t\t}\n\t\t\t\t],\n\t\t\t\t\"tags\": [\n\t\t\t\t\t{\n\t\t\t\t\t\t\"type\": \"test\",\n\t\t\t\t\t\t\"name\": \"testtag\",\n\t\t\t\t\t\t\"scope\": \"testuser4\"\n\t\t\t\t\t}\n\t\t\t\t],\n\t\t\t\t\"startTime\": 1234567910\n\t\t\t}`,\n\t\t\texpectError:   false,\n\t\t\tshouldFindJob: true,\n\t\t\tvalidateJob: func(t *testing.T, job *schema.Job) {\n\t\t\t\tif job.JobID != 1004 {\n\t\t\t\t\tt.Errorf(\"expected JobID 1004, got %d\", job.JobID)\n\t\t\t\t}\n\t\t\t},\n\t\t},\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(tt.name, func(t *testing.T) {\n\t\t\tnatsAPI.handleStartJob(tt.payload)\n\t\t\tnatsAPI.JobRepository.SyncJobs()\n\n\t\t\t// Allow some time for async operations\n\t\t\ttime.Sleep(100 * time.Millisecond)\n\n\t\t\tif tt.shouldFindJob {\n\t\t\t\t// Extract jobId from payload\n\t\t\t\tvar payloadMap map[string]any\n\t\t\t\tjson.Unmarshal([]byte(tt.payload), &payloadMap)\n\t\t\t\tjobID := int64(payloadMap[\"jobId\"].(float64))\n\t\t\t\tcluster := payloadMap[\"cluster\"].(string)\n\t\t\t\tstartTime := int64(payloadMap[\"startTime\"].(float64))\n\n\t\t\t\tjob, err := natsAPI.JobRepository.Find(&jobID, &cluster, &startTime)\n\t\t\t\tif err != nil {\n\t\t\t\t\tif !tt.expectError {\n\t\t\t\t\t\tt.Fatalf(\"expected to find job, but got error: %v\", err)\n\t\t\t\t\t}\n\t\t\t\t\treturn\n\t\t\t\t}\n\n\t\t\t\tif tt.validateJob != nil {\n\t\t\t\t\ttt.validateJob(t, job)\n\t\t\t\t}\n\t\t\t}\n\t\t})\n\t}\n}\n\nfunc TestNatsHandleStopJob(t *testing.T) {\n\tnatsAPI := setupNatsTest(t)\n\tt.Cleanup(cleanupNatsTest)\n\n\t// First, create a running job\n\tstartPayload := `{\n\t\t\"jobId\": 2001,\n\t\t\"user\": \"testuser\",\n\t\t\"project\": \"testproj\",\n\t\t\"cluster\": \"testcluster\",\n\t\t\"partition\": \"main\",\n\t\t\"walltime\": 3600,\n\t\t\"numNodes\": 1,\n\t\t\"numHwthreads\": 8,\n\t\t\"numAcc\": 0,\n\t\t\"shared\": \"none\",\n\t\t\"monitoringStatus\": 1,\n\t\t\"smt\": 1,\n\t\t\"resources\": [\n\t\t\t{\n\t\t\t\t\"hostname\": \"host123\",\n\t\t\t\t\"hwthreads\": [0, 1, 2, 3, 4, 5, 6, 7]\n\t\t\t}\n\t\t],\n\t\t\"startTime\": 1234567890\n\t}`\n\n\tnatsAPI.handleStartJob(startPayload)\n\tnatsAPI.JobRepository.SyncJobs()\n\ttime.Sleep(100 * time.Millisecond)\n\n\ttests := []struct {\n\t\tname         string\n\t\tpayload      string\n\t\texpectError  bool\n\t\tvalidateJob  func(t *testing.T, job *schema.Job)\n\t\tsetupJobFunc func() // Optional: create specific test job\n\t}{\n\t\t{\n\t\t\tname: \"valid job stop - completed\",\n\t\t\tpayload: `{\n\t\t\t\t\"jobId\": 2001,\n\t\t\t\t\"cluster\": \"testcluster\",\n\t\t\t\t\"startTime\": 1234567890,\n\t\t\t\t\"jobState\": \"completed\",\n\t\t\t\t\"stopTime\": 1234571490\n\t\t\t}`,\n\t\t\texpectError: false,\n\t\t\tvalidateJob: func(t *testing.T, job *schema.Job) {\n\t\t\t\tif job.State != schema.JobStateCompleted {\n\t\t\t\t\tt.Errorf(\"expected state completed, got %s\", job.State)\n\t\t\t\t}\n\t\t\t\texpectedDuration := int32(1234571490 - 1234567890)\n\t\t\t\tif job.Duration != expectedDuration {\n\t\t\t\t\tt.Errorf(\"expected duration %d, got %d\", expectedDuration, job.Duration)\n\t\t\t\t}\n\t\t\t},\n\t\t},\n\t\t{\n\t\t\tname: \"valid job stop - failed\",\n\t\t\tsetupJobFunc: func() {\n\t\t\t\tstartPayloadFailed := `{\n\t\t\t\t\t\"jobId\": 2002,\n\t\t\t\t\t\"user\": \"testuser\",\n\t\t\t\t\t\"project\": \"testproj\",\n\t\t\t\t\t\"cluster\": \"testcluster\",\n\t\t\t\t\t\"partition\": \"main\",\n\t\t\t\t\t\"walltime\": 3600,\n\t\t\t\t\t\"numNodes\": 1,\n\t\t\t\t\t\"numHwthreads\": 8,\n\t\t\t\t\t\"numAcc\": 0,\n\t\t\t\t\t\"shared\": \"none\",\n\t\t\t\t\t\"monitoringStatus\": 1,\n\t\t\t\t\t\"smt\": 1,\n\t\t\t\t\t\"resources\": [\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\"hostname\": \"host123\",\n\t\t\t\t\t\t\t\"hwthreads\": [0, 1, 2, 3]\n\t\t\t\t\t\t}\n\t\t\t\t\t],\n\t\t\t\t\t\"startTime\": 1234567900\n\t\t\t\t}`\n\t\t\t\tnatsAPI.handleStartJob(startPayloadFailed)\n\t\t\t\tnatsAPI.JobRepository.SyncJobs()\n\t\t\t\ttime.Sleep(100 * time.Millisecond)\n\t\t\t},\n\t\t\tpayload: `{\n\t\t\t\t\"jobId\": 2002,\n\t\t\t\t\"cluster\": \"testcluster\",\n\t\t\t\t\"startTime\": 1234567900,\n\t\t\t\t\"jobState\": \"failed\",\n\t\t\t\t\"stopTime\": 1234569900\n\t\t\t}`,\n\t\t\texpectError: false,\n\t\t\tvalidateJob: func(t *testing.T, job *schema.Job) {\n\t\t\t\tif job.State != schema.JobStateFailed {\n\t\t\t\t\tt.Errorf(\"expected state failed, got %s\", job.State)\n\t\t\t\t}\n\t\t\t},\n\t\t},\n\t\t{\n\t\t\tname: \"invalid JSON\",\n\t\t\tpayload: `{\n\t\t\t\t\"jobId\": \"not a number\"\n\t\t\t}`,\n\t\t\texpectError: true,\n\t\t},\n\t\t{\n\t\t\tname: \"missing jobId\",\n\t\t\tpayload: `{\n\t\t\t\t\"cluster\": \"testcluster\",\n\t\t\t\t\"jobState\": \"completed\",\n\t\t\t\t\"stopTime\": 1234571490\n\t\t\t}`,\n\t\t\texpectError: true,\n\t\t},\n\t\t{\n\t\t\tname: \"invalid job state\",\n\t\t\tsetupJobFunc: func() {\n\t\t\t\tstartPayloadInvalid := `{\n\t\t\t\t\t\"jobId\": 2003,\n\t\t\t\t\t\"user\": \"testuser\",\n\t\t\t\t\t\"project\": \"testproj\",\n\t\t\t\t\t\"cluster\": \"testcluster\",\n\t\t\t\t\t\"partition\": \"main\",\n\t\t\t\t\t\"walltime\": 3600,\n\t\t\t\t\t\"numNodes\": 1,\n\t\t\t\t\t\"numHwthreads\": 8,\n\t\t\t\t\t\"numAcc\": 0,\n\t\t\t\t\t\"shared\": \"none\",\n\t\t\t\t\t\"monitoringStatus\": 1,\n\t\t\t\t\t\"smt\": 1,\n\t\t\t\t\t\"resources\": [\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\"hostname\": \"host123\",\n\t\t\t\t\t\t\t\"hwthreads\": [0, 1]\n\t\t\t\t\t\t}\n\t\t\t\t\t],\n\t\t\t\t\t\"startTime\": 1234567910\n\t\t\t\t}`\n\t\t\t\tnatsAPI.handleStartJob(startPayloadInvalid)\n\t\t\t\tnatsAPI.JobRepository.SyncJobs()\n\t\t\t\ttime.Sleep(100 * time.Millisecond)\n\t\t\t},\n\t\t\tpayload: `{\n\t\t\t\t\"jobId\": 2003,\n\t\t\t\t\"cluster\": \"testcluster\",\n\t\t\t\t\"startTime\": 1234567910,\n\t\t\t\t\"jobState\": \"invalid_state\",\n\t\t\t\t\"stopTime\": 1234571510\n\t\t\t}`,\n\t\t\texpectError: true,\n\t\t},\n\t\t{\n\t\t\tname: \"stopTime before startTime\",\n\t\t\tsetupJobFunc: func() {\n\t\t\t\tstartPayloadTime := `{\n\t\t\t\t\t\"jobId\": 2004,\n\t\t\t\t\t\"user\": \"testuser\",\n\t\t\t\t\t\"project\": \"testproj\",\n\t\t\t\t\t\"cluster\": \"testcluster\",\n\t\t\t\t\t\"partition\": \"main\",\n\t\t\t\t\t\"walltime\": 3600,\n\t\t\t\t\t\"numNodes\": 1,\n\t\t\t\t\t\"numHwthreads\": 8,\n\t\t\t\t\t\"numAcc\": 0,\n\t\t\t\t\t\"shared\": \"none\",\n\t\t\t\t\t\"monitoringStatus\": 1,\n\t\t\t\t\t\"smt\": 1,\n\t\t\t\t\t\"resources\": [\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\"hostname\": \"host123\",\n\t\t\t\t\t\t\t\"hwthreads\": [0]\n\t\t\t\t\t\t}\n\t\t\t\t\t],\n\t\t\t\t\t\"startTime\": 1234567920\n\t\t\t\t}`\n\t\t\t\tnatsAPI.handleStartJob(startPayloadTime)\n\t\t\t\tnatsAPI.JobRepository.SyncJobs()\n\t\t\t\ttime.Sleep(100 * time.Millisecond)\n\t\t\t},\n\t\t\tpayload: `{\n\t\t\t\t\"jobId\": 2004,\n\t\t\t\t\"cluster\": \"testcluster\",\n\t\t\t\t\"startTime\": 1234567920,\n\t\t\t\t\"jobState\": \"completed\",\n\t\t\t\t\"stopTime\": 1234567900\n\t\t\t}`,\n\t\t\texpectError: true,\n\t\t},\n\t\t{\n\t\t\tname: \"job not found\",\n\t\t\tpayload: `{\n\t\t\t\t\"jobId\": 99999,\n\t\t\t\t\"cluster\": \"testcluster\",\n\t\t\t\t\"startTime\": 1234567890,\n\t\t\t\t\"jobState\": \"completed\",\n\t\t\t\t\"stopTime\": 1234571490\n\t\t\t}`,\n\t\t\texpectError: true,\n\t\t},\n\t}\n\n\ttestData := schema.JobData{\n\t\t\"load_one\": map[schema.MetricScope]*schema.JobMetric{\n\t\t\tschema.MetricScopeNode: {\n\t\t\t\tUnit:     schema.Unit{Base: \"load\"},\n\t\t\t\tTimestep: 60,\n\t\t\t\tSeries: []schema.Series{\n\t\t\t\t\t{\n\t\t\t\t\t\tHostname:   \"host123\",\n\t\t\t\t\t\tStatistics: schema.MetricStatistics{Min: 0.1, Avg: 0.2, Max: 0.3},\n\t\t\t\t\t\tData:       []schema.Float{0.1, 0.1, 0.1, 0.2, 0.2, 0.2, 0.3, 0.3, 0.3},\n\t\t\t\t\t},\n\t\t\t\t},\n\t\t\t},\n\t\t},\n\t}\n\n\tmetricstore.TestLoadDataCallback = func(job *schema.Job, metrics []string, scopes []schema.MetricScope, ctx context.Context, resolution int) (schema.JobData, error) {\n\t\treturn testData, nil\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(tt.name, func(t *testing.T) {\n\t\t\tif tt.setupJobFunc != nil {\n\t\t\t\ttt.setupJobFunc()\n\t\t\t}\n\n\t\t\tnatsAPI.handleStopJob(tt.payload)\n\n\t\t\t// Allow some time for async operations\n\t\t\ttime.Sleep(100 * time.Millisecond)\n\n\t\t\tif !tt.expectError && tt.validateJob != nil {\n\t\t\t\t// Extract job details from payload\n\t\t\t\tvar payloadMap map[string]any\n\t\t\t\tjson.Unmarshal([]byte(tt.payload), &payloadMap)\n\t\t\t\tjobID := int64(payloadMap[\"jobId\"].(float64))\n\t\t\t\tcluster := payloadMap[\"cluster\"].(string)\n\n\t\t\t\tvar startTime *int64\n\t\t\t\tif st, ok := payloadMap[\"startTime\"]; ok {\n\t\t\t\t\tt := int64(st.(float64))\n\t\t\t\t\tstartTime = &t\n\t\t\t\t}\n\n\t\t\t\tjob, err := natsAPI.JobRepository.Find(&jobID, &cluster, startTime)\n\t\t\t\tif err != nil {\n\t\t\t\t\tt.Fatalf(\"expected to find job, but got error: %v\", err)\n\t\t\t\t}\n\n\t\t\t\ttt.validateJob(t, job)\n\t\t\t}\n\t\t})\n\t}\n}\n\nfunc TestNatsHandleNodeState(t *testing.T) {\n\tnatsAPI := setupNatsTest(t)\n\tt.Cleanup(cleanupNatsTest)\n\n\ttests := []struct {\n\t\tname        string\n\t\tdata        []byte\n\t\texpectError bool\n\t\tvalidateFn  func(t *testing.T)\n\t}{\n\t\t{\n\t\t\tname:        \"valid node state update\",\n\t\t\tdata:        []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"host123\\\",\\\"states\\\":[\\\"allocated\\\"],\\\"cpusAllocated\\\":8,\\\"memoryAllocated\\\":16384,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":1}]}\" 1234567890000000000`),\n\t\t\texpectError: false,\n\t\t\tvalidateFn: func(t *testing.T) {\n\t\t\t\t// In a full test, we would verify the node state was updated in the database\n\t\t\t\t// For now, just ensure no error occurred\n\t\t\t},\n\t\t},\n\t\t{\n\t\t\tname:        \"multiple nodes\",\n\t\t\tdata:        []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"host123\\\",\\\"states\\\":[\\\"idle\\\"],\\\"cpusAllocated\\\":0,\\\"memoryAllocated\\\":0,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":0},{\\\"hostname\\\":\\\"host124\\\",\\\"states\\\":[\\\"allocated\\\"],\\\"cpusAllocated\\\":4,\\\"memoryAllocated\\\":8192,\\\"gpusAllocated\\\":1,\\\"jobsRunning\\\":1}]}\" 1234567890000000000`),\n\t\t\texpectError: false,\n\t\t},\n\t\t{\n\t\t\tname:        \"invalid JSON in event field\",\n\t\t\tdata:        []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":\\\"not an array\\\"}\" 1234567890000000000`),\n\t\t\texpectError: true,\n\t\t},\n\t\t{\n\t\t\tname:        \"empty nodes array\",\n\t\t\tdata:        []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[]}\" 1234567890000000000`),\n\t\t\texpectError: false, // Empty array should not cause error\n\t\t},\n\t\t{\n\t\t\tname:        \"invalid line protocol format\",\n\t\t\tdata:        []byte(`invalid line protocol format`),\n\t\t\texpectError: true,\n\t\t},\n\t\t{\n\t\t\tname:        \"empty data\",\n\t\t\tdata:        []byte(``),\n\t\t\texpectError: false, // Should be handled gracefully with warning\n\t\t},\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(tt.name, func(t *testing.T) {\n\t\t\tnatsAPI.handleNodeState(\"test.subject\", tt.data)\n\n\t\t\t// Allow some time for async operations\n\t\t\ttime.Sleep(50 * time.Millisecond)\n\n\t\t\tif tt.validateFn != nil {\n\t\t\t\ttt.validateFn(t)\n\t\t\t}\n\t\t})\n\t}\n}\n\nfunc TestNatsProcessJobEvent(t *testing.T) {\n\tnatsAPI := setupNatsTest(t)\n\tt.Cleanup(cleanupNatsTest)\n\n\tmsgStartJob, err := lp.NewMessage(\n\t\t\"job\",\n\t\tmap[string]string{\"function\": \"start_job\"},\n\t\tnil,\n\t\tmap[string]any{\n\t\t\t\"event\": `{\n\t\t\t\t\"jobId\": 3001,\n\t\t\t\t\"user\": \"testuser\",\n\t\t\t\t\"project\": \"testproj\",\n\t\t\t\t\"cluster\": \"testcluster\",\n\t\t\t\t\"partition\": \"main\",\n\t\t\t\t\"walltime\": 3600,\n\t\t\t\t\"numNodes\": 1,\n\t\t\t\t\"numHwthreads\": 8,\n\t\t\t\t\"numAcc\": 0,\n\t\t\t\t\"shared\": \"none\",\n\t\t\t\t\"monitoringStatus\": 1,\n\t\t\t\t\"smt\": 1,\n\t\t\t\t\"resources\": [\n\t\t\t\t\t{\n\t\t\t\t\t\t\"hostname\": \"host123\",\n\t\t\t\t\t\t\"hwthreads\": [0, 1, 2, 3]\n\t\t\t\t\t}\n\t\t\t\t],\n\t\t\t\t\"startTime\": 1234567890\n\t\t\t}`,\n\t\t},\n\t\ttime.Now(),\n\t)\n\tif err != nil {\n\t\tt.Fatalf(\"failed to create test message: %v\", err)\n\t}\n\n\tmsgMissingTag, err := lp.NewMessage(\n\t\t\"job\",\n\t\tmap[string]string{},\n\t\tnil,\n\t\tmap[string]any{\n\t\t\t\"event\": `{}`,\n\t\t},\n\t\ttime.Now(),\n\t)\n\tif err != nil {\n\t\tt.Fatalf(\"failed to create test message: %v\", err)\n\t}\n\n\tmsgUnknownFunc, err := lp.NewMessage(\n\t\t\"job\",\n\t\tmap[string]string{\"function\": \"unknown_function\"},\n\t\tnil,\n\t\tmap[string]any{\n\t\t\t\"event\": `{}`,\n\t\t},\n\t\ttime.Now(),\n\t)\n\tif err != nil {\n\t\tt.Fatalf(\"failed to create test message: %v\", err)\n\t}\n\n\ttests := []struct {\n\t\tname        string\n\t\tmessage     lp.CCMessage\n\t\texpectError bool\n\t}{\n\t\t{\n\t\t\tname:        \"start_job function\",\n\t\t\tmessage:     msgStartJob,\n\t\t\texpectError: false,\n\t\t},\n\t\t{\n\t\t\tname:        \"missing function tag\",\n\t\t\tmessage:     msgMissingTag,\n\t\t\texpectError: true,\n\t\t},\n\t\t{\n\t\t\tname:        \"unknown function\",\n\t\t\tmessage:     msgUnknownFunc,\n\t\t\texpectError: false,\n\t\t},\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(tt.name, func(t *testing.T) {\n\t\t\tnatsAPI.processJobEvent(tt.message)\n\t\t\ttime.Sleep(50 * time.Millisecond)\n\t\t})\n\t}\n}\n\nfunc TestNatsHandleJobEvent(t *testing.T) {\n\tnatsAPI := setupNatsTest(t)\n\tt.Cleanup(cleanupNatsTest)\n\n\ttests := []struct {\n\t\tname        string\n\t\tdata        []byte\n\t\texpectError bool\n\t}{\n\t\t{\n\t\t\tname:        \"valid influx line protocol\",\n\t\t\tdata:        []byte(`job,function=start_job event=\"{\\\"jobId\\\":4001,\\\"user\\\":\\\"testuser\\\",\\\"project\\\":\\\"testproj\\\",\\\"cluster\\\":\\\"testcluster\\\",\\\"partition\\\":\\\"main\\\",\\\"walltime\\\":3600,\\\"numNodes\\\":1,\\\"numHwthreads\\\":8,\\\"numAcc\\\":0,\\\"shared\\\":\\\"none\\\",\\\"monitoringStatus\\\":1,\\\"smt\\\":1,\\\"resources\\\":[{\\\"hostname\\\":\\\"host123\\\",\\\"hwthreads\\\":[0,1,2,3]}],\\\"startTime\\\":1234567890}\" 1234567890000000000`),\n\t\t\texpectError: false,\n\t\t},\n\t\t{\n\t\t\tname:        \"invalid influx line protocol\",\n\t\t\tdata:        []byte(`invalid line protocol format`),\n\t\t\texpectError: true,\n\t\t},\n\t\t{\n\t\t\tname:        \"empty data\",\n\t\t\tdata:        []byte(``),\n\t\t\texpectError: false, // Decoder should handle empty input gracefully\n\t\t},\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(tt.name, func(t *testing.T) {\n\t\t\t// HandleJobEvent doesn't return errors, it logs them\n\t\t\t// We're just ensuring it doesn't panic\n\t\t\tnatsAPI.handleJobEvent(\"test.subject\", tt.data)\n\t\t\ttime.Sleep(50 * time.Millisecond)\n\t\t})\n\t}\n}\n\nfunc TestNatsHandleJobEventEdgeCases(t *testing.T) {\n\tnatsAPI := setupNatsTest(t)\n\tt.Cleanup(cleanupNatsTest)\n\n\ttests := []struct {\n\t\tname        string\n\t\tdata        []byte\n\t\texpectError bool\n\t\tdescription string\n\t}{\n\t\t{\n\t\t\tname:        \"non-event message (metric data)\",\n\t\t\tdata:        []byte(`job,function=start_job value=123.45 1234567890000000000`),\n\t\t\texpectError: false,\n\t\t\tdescription: \"Should skip non-event messages gracefully\",\n\t\t},\n\t\t{\n\t\t\tname:        \"wrong measurement name\",\n\t\t\tdata:        []byte(`wrongmeasurement,function=start_job event=\"{}\" 1234567890000000000`),\n\t\t\texpectError: false,\n\t\t\tdescription: \"Should warn about unexpected measurement but not fail\",\n\t\t},\n\t\t{\n\t\t\tname:        \"missing event field\",\n\t\t\tdata:        []byte(`job,function=start_job other_field=\"value\" 1234567890000000000`),\n\t\t\texpectError: true,\n\t\t\tdescription: \"Should error when event field is missing\",\n\t\t},\n\t\t{\n\t\t\tname:        \"multiple measurements in one message\",\n\t\t\tdata:        []byte(\"job,function=start_job event=\\\"{}\\\" 1234567890000000000\\njob,function=stop_job event=\\\"{}\\\" 1234567890000000000\"),\n\t\t\texpectError: false,\n\t\t\tdescription: \"Should process multiple lines\",\n\t\t},\n\t\t{\n\t\t\tname:        \"escaped quotes in JSON payload\",\n\t\t\tdata:        []byte(`job,function=start_job event=\"{\\\"jobId\\\":6001,\\\"user\\\":\\\"test\\\\\\\"user\\\",\\\"cluster\\\":\\\"test\\\"}\" 1234567890000000000`),\n\t\t\texpectError: true,\n\t\t\tdescription: \"Should handle escaped quotes (though JSON parsing may fail)\",\n\t\t},\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(tt.name, func(t *testing.T) {\n\t\t\tnatsAPI.handleJobEvent(\"test.subject\", tt.data)\n\t\t\ttime.Sleep(50 * time.Millisecond)\n\t\t})\n\t}\n}\n\nfunc TestNatsHandleNodeStateEdgeCases(t *testing.T) {\n\tnatsAPI := setupNatsTest(t)\n\tt.Cleanup(cleanupNatsTest)\n\n\ttests := []struct {\n\t\tname        string\n\t\tdata        []byte\n\t\texpectError bool\n\t\tdescription string\n\t}{\n\t\t{\n\t\t\tname:        \"missing cluster field in JSON\",\n\t\t\tdata:        []byte(`nodestate event=\"{\\\"nodes\\\":[]}\" 1234567890000000000`),\n\t\t\texpectError: true,\n\t\t\tdescription: \"Should fail when cluster is missing\",\n\t\t},\n\t\t{\n\t\t\tname:        \"malformed JSON with unescaped quotes\",\n\t\t\tdata:        []byte(`nodestate event=\"{\\\"cluster\\\":\\\"test\"cluster\\\",\\\"nodes\\\":[]}\" 1234567890000000000`),\n\t\t\texpectError: true,\n\t\t\tdescription: \"Should fail on malformed JSON\",\n\t\t},\n\t\t{\n\t\t\tname:        \"unicode characters in hostname\",\n\t\t\tdata:        []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"host-ñ123\\\",\\\"states\\\":[\\\"idle\\\"],\\\"cpusAllocated\\\":0,\\\"memoryAllocated\\\":0,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":0}]}\" 1234567890000000000`),\n\t\t\texpectError: false,\n\t\t\tdescription: \"Should handle unicode characters\",\n\t\t},\n\t\t{\n\t\t\tname:        \"very large node count\",\n\t\t\tdata:        []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node1\\\",\\\"states\\\":[\\\"idle\\\"],\\\"cpusAllocated\\\":0,\\\"memoryAllocated\\\":0,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":0},{\\\"hostname\\\":\\\"node2\\\",\\\"states\\\":[\\\"idle\\\"],\\\"cpusAllocated\\\":0,\\\"memoryAllocated\\\":0,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":0},{\\\"hostname\\\":\\\"node3\\\",\\\"states\\\":[\\\"idle\\\"],\\\"cpusAllocated\\\":0,\\\"memoryAllocated\\\":0,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":0}]}\" 1234567890000000000`),\n\t\t\texpectError: false,\n\t\t\tdescription: \"Should handle multiple nodes efficiently\",\n\t\t},\n\t\t{\n\t\t\tname:        \"timestamp in past\",\n\t\t\tdata:        []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[]}\" 1000000000000000000`),\n\t\t\texpectError: false,\n\t\t\tdescription: \"Should accept any valid timestamp\",\n\t\t},\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(tt.name, func(t *testing.T) {\n\t\t\tnatsAPI.handleNodeState(\"test.subject\", tt.data)\n\t\t\ttime.Sleep(50 * time.Millisecond)\n\t\t})\n\t}\n}\n\nfunc TestNatsHandleStartJobDuplicatePrevention(t *testing.T) {\n\tnatsAPI := setupNatsTest(t)\n\tt.Cleanup(cleanupNatsTest)\n\n\t// Start a job\n\tpayload := `{\n\t\t\"jobId\": 5001,\n\t\t\"user\": \"testuser\",\n\t\t\"project\": \"testproj\",\n\t\t\"cluster\": \"testcluster\",\n\t\t\"partition\": \"main\",\n\t\t\"walltime\": 3600,\n\t\t\"numNodes\": 1,\n\t\t\"numHwthreads\": 8,\n\t\t\"numAcc\": 0,\n\t\t\"shared\": \"none\",\n\t\t\"monitoringStatus\": 1,\n\t\t\"smt\": 1,\n\t\t\"resources\": [\n\t\t\t{\n\t\t\t\t\"hostname\": \"host123\",\n\t\t\t\t\"hwthreads\": [0, 1, 2, 3]\n\t\t\t}\n\t\t],\n\t\t\"startTime\": 1234567890\n\t}`\n\n\tnatsAPI.handleStartJob(payload)\n\tnatsAPI.JobRepository.SyncJobs()\n\ttime.Sleep(100 * time.Millisecond)\n\n\t// Try to start the same job again (within 24 hours)\n\tduplicatePayload := `{\n\t\t\"jobId\": 5001,\n\t\t\"user\": \"testuser\",\n\t\t\"project\": \"testproj\",\n\t\t\"cluster\": \"testcluster\",\n\t\t\"partition\": \"main\",\n\t\t\"walltime\": 3600,\n\t\t\"numNodes\": 1,\n\t\t\"numHwthreads\": 8,\n\t\t\"numAcc\": 0,\n\t\t\"shared\": \"none\",\n\t\t\"monitoringStatus\": 1,\n\t\t\"smt\": 1,\n\t\t\"resources\": [\n\t\t\t{\n\t\t\t\t\"hostname\": \"host123\",\n\t\t\t\t\"hwthreads\": [0, 1, 2, 3]\n\t\t\t}\n\t\t],\n\t\t\"startTime\": 1234567900\n\t}`\n\n\tnatsAPI.handleStartJob(duplicatePayload)\n\tnatsAPI.JobRepository.SyncJobs()\n\ttime.Sleep(100 * time.Millisecond)\n\n\t// Verify only one job exists\n\tjobID := int64(5001)\n\tcluster := \"testcluster\"\n\tjobs, err := natsAPI.JobRepository.FindAll(&jobID, &cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tt.Fatalf(\"unexpected error: %v\", err)\n\t}\n\n\tif len(jobs) != 1 {\n\t\tt.Errorf(\"expected 1 job, got %d\", len(jobs))\n\t}\n}\n","numLines":948,"startLine":1,"totalLines":948}},"sourceToolAssistantUUID":"7aafecec-1756-456c-9a0e-de007dab36ea","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"}
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err != nil {\n   201→\t\treturn fmt.Errorf(\"NATS publish to '%s' failed: %w\", subject, err)\n   202→\t}\n   203→\treturn nil\n   204→}\n   205→\n   206→// Request sends a request and waits for a response with the given context timeout.\n   207→func (c *Client) Request(subject string, data []byte, timeout context.Context) ([]byte, error) {\n   208→\tmsg, err := c.conn.RequestWithContext(timeout, subject, data)\n   209→\tif err != nil {\n   210→\t\treturn nil, fmt.Errorf(\"NATS request to '%s' failed: %w\", subject, err)\n   211→\t}\n   212→\treturn msg.Data, nil\n   213→}\n   214→\n   215→// Flush flushes the connection buffer to ensure all published messages are sent.\n   216→func (c *Client) Flush() error {\n   217→\treturn c.conn.Flush()\n   218→}\n   219→"}]},"uuid":"f5183a56-06b8-4e59-895a-3506598a7a9b","timestamp":"2026-03-16T10:51:10.962Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-lib/nats/client.go","content":"\n\tcclog.Infof(\"NATS connected to %s\", cfg.Address)\n\n\treturn &Client{\n\t\tconn:          nc,\n\t\tsubscriptions: make([]*nats.Subscription, 0),\n\t}, nil\n}\n\n// Subscribe registers a handler for messages on the given subject.\nfunc (c *Client) Subscribe(subject string, handler MessageHandler) error {\n\tc.mu.Lock()\n\tdefer c.mu.Unlock()\n\n\tsub, err := c.conn.Subscribe(subject, func(msg *nats.Msg) {\n\t\thandler(msg.Subject, msg.Data)\n\t})\n\tif err != nil {\n\t\treturn fmt.Errorf(\"NATS subscribe to '%s' failed: %w\", subject, err)\n\t}\n\n\tc.subscriptions = append(c.subscriptions, sub)\n\tcclog.Infof(\"NATS subscribed to '%s'\", subject)\n\treturn nil\n}\n\n// SubscribeQueue registers a handler with queue group for load-balanced message processing.\nfunc (c *Client) SubscribeQueue(subject, queue string, handler MessageHandler) error {\n\tc.mu.Lock()\n\tdefer c.mu.Unlock()\n\n\tsub, err := c.conn.QueueSubscribe(subject, queue, func(msg *nats.Msg) {\n\t\thandler(msg.Subject, msg.Data)\n\t})\n\tif err != nil {\n\t\treturn fmt.Errorf(\"NATS queue subscribe to '%s' (queue: %s) failed: %w\", subject, queue, err)\n\t}\n\n\tc.subscriptions = append(c.subscriptions, sub)\n\tcclog.Infof(\"NATS queue subscribed to '%s' (queue: %s)\", subject, queue)\n\treturn nil\n}\n\n// SubscribeChan subscribes to a subject and delivers messages to the provided channel.\nfunc (c *Client) SubscribeChan(subject string, ch chan *nats.Msg) error {\n\tc.mu.Lock()\n\tdefer c.mu.Unlock()\n\n\tsub, err := c.conn.ChanSubscribe(subject, ch)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"NATS chan subscribe to '%s' failed: %w\", subject, err)\n\t}\n\n\tc.subscriptions = append(c.subscriptions, sub)\n\tcclog.Infof(\"NATS chan subscribed to '%s'\", subject)\n\treturn nil\n}\n\n// Publish sends data to the specified subject.\nfunc (c *Client) Publish(subject string, data []byte) error {\n\tif err := c.conn.Publish(subject, data); 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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package config implements the program configuration data structures, validation and parsing\npackage config\n\nimport (\n\t\"bytes\"\n\t\"encoding/json\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n)\n\ntype ProgramConfig struct {\n\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n\tAddr string `json:\"addr\"`\n\n\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n\n\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n\n\t// Drop root permissions once .env was read and the port was taken.\n\tUser  string `json:\"user\"`\n\tGroup string `json:\"group\"`\n\n\t// Disable authentication (for everything: API, Web-UI, ...)\n\tDisableAuthentication bool `json:\"disable-authentication\"`\n\n\t// If `embed-static-files` is true (default), the frontend files are directly\n\t// embeded into the go binary and expected to be in web/frontend. Only if\n\t// it is false the files in `static-files` are served instead.\n\tEmbedStaticFiles bool   `json:\"embed-static-files\"`\n\tStaticFiles      string `json:\"static-files\"`\n\n\t// Path to SQLite database file\n\tDB string `json:\"db\"`\n\n\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n\n\t// Validate json input against schema\n\tValidate bool `json:\"validate\"`\n\n\t// If 0 or empty, the session does not expire!\n\tSessionMaxAge string `json:\"session-max-age\"`\n\n\t// If both those options are not empty, use HTTPS using those certificates.\n\tHTTPSCertFile string `json:\"https-cert-file\"`\n\tHTTPSKeyFile  string `json:\"https-key-file\"`\n\n\t// If not the empty string and `addr` does not end in \":80\",\n\t// redirect every request incoming at port 80 to that url.\n\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n\n\t// Where to store MachineState files\n\tMachineStateDir string `json:\"machine-state-dir\"`\n\n\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n\n\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n\n\t// Energy Mix CO2 Emission Constant [g/kWh]\n\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n\tEmissionConstant int `json:\"emission-constant\"`\n\n\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n\tEnableResampling *ResampleConfig `json:\"resampling\"`\n\n\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n\tSystemdUnit string `json:\"systemd-unit\"`\n\n\t// Node state retention configuration\n\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n\n\t// Database tuning configuration\n\tDbConfig *DbConfig `json:\"db-config\"`\n}\n\ntype DbConfig struct {\n\tCacheSizeMB               int `json:\"cache-size-mb\"`\n\tSoftHeapLimitMB           int `json:\"soft-heap-limit-mb\"`\n\tMaxOpenConnections        int `json:\"max-open-connections\"`\n\tMaxIdleConnections        int `json:\"max-idle-connections\"`\n\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n\tBusyTimeoutMs             int `json:\"busy-timeout-ms\"`\n}\n\ntype NodeStateRetention struct {\n\tPolicy             string `json:\"policy\"`      // \"delete\" or \"move\"\n\tAge                int    `json:\"age\"`         // hours, default 24\n\tTargetKind         string `json:\"target-kind\"` // \"file\" or \"s3\"\n\tTargetPath         string `json:\"target-path\"`\n\tTargetEndpoint     string `json:\"target-endpoint\"`\n\tTargetBucket       string `json:\"target-bucket\"`\n\tTargetAccessKey    string `json:\"target-access-key\"`\n\tTargetSecretKey    string `json:\"target-secret-key\"`\n\tTargetRegion       string `json:\"target-region\"`\n\tTargetUsePathStyle bool   `json:\"target-use-path-style\"`\n\tMaxFileSizeMB      int    `json:\"max-file-size-mb\"`\n}\n\ntype ResampleConfig struct {\n\t// Minimum number of points to trigger resampling of data\n\tMinimumPoints int `json:\"minimum-points\"`\n\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n\tResolutions []int `json:\"resolutions\"`\n\t// Trigger next zoom level at less than this many visible datapoints\n\tTrigger int `json:\"trigger\"`\n}\n\ntype NATSConfig struct {\n\tSubjectJobEvent  string `json:\"subject-job-event\"`\n\tSubjectNodeState string `json:\"subject-node-state\"`\n}\n\ntype IntRange struct {\n\tFrom int `json:\"from\"`\n\tTo   int `json:\"to\"`\n}\n\ntype TimeRange struct {\n\tFrom  *time.Time `json:\"from\"`\n\tTo    *time.Time `json:\"to\"`\n\tRange string     `json:\"range,omitempty\"`\n}\n\ntype FilterRanges struct {\n\tDuration  *IntRange  `json:\"duration\"`\n\tNumNodes  *IntRange  `json:\"num-nodes\"`\n\tStartTime *TimeRange `json:\"start-time\"`\n}\n\nvar Keys ProgramConfig = ProgramConfig{\n\tAddr:                      \"localhost:8080\",\n\tEmbedStaticFiles:          true,\n\tDB:                        \"./var/job.db\",\n\tSessionMaxAge:             \"168h\",\n\tStopJobsExceedingWalltime: 0,\n\tShortRunningJobsDuration:  5 * 60,\n}\n\nfunc Init(mainConfig json.RawMessage) {\n\tValidate(configSchema, mainConfig)\n\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&Keys); err != nil {\n\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n\t}\n\n\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n\t}\n}\n","structuredPatch":[{"oldStart":117,"oldLines":6,"newStart":117,"newLines":9,"lines":[" type NATSConfig struct {","   SubjectJobEvent  string `json:\"subject-job-event\"`","   SubjectNodeState string `json:\"subject-node-state\"`","+  QueueGroup       string `json:\"queue-group\"`","+  JobConcurrency   int    `json:\"job-concurrency\"`","+  NodeConcurrency  int    `json:\"node-concurrency\"`"," }"," "," type IntRange struct {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"6d5ab45c-c963-4fba-bf65-792e3bcf41e9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"}
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+{"parentUuid":"a1473d05-fd96-4b89-9f5c-dad4a465bbd0","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01SURCvRUDx3SniC21NSWoe5","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XJVvk4PRR1mymGqZPrVw9G","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","old_string":"// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n\t// when the database is under contention.\n\tjobSem chan struct{}\n\t// nodeSem limits concurrent NATS node state processing.\n\tnodeSem chan struct{}\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobSem:        make(chan struct{}, 8),\n\t\tnodeSem:       make(chan struct{}, 2),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}","new_string":"// natsMessage wraps a raw NATS message with its subject for channel-based processing.\ntype natsMessage struct {\n\tsubject string\n\tdata    []byte\n}\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobCh receives job event messages for processing by worker goroutines.\n\tjobCh chan natsMessage\n\t// nodeCh receives node state messages for processing by worker goroutines.\n\tnodeCh chan natsMessage\n}\n\n// NewNatsAPI creates a new NatsAPI instance with channel-based worker pools.\n// Concurrency is configured via NATSConfig (defaults: JobConcurrency=8, NodeConcurrency=2).\nfunc NewNatsAPI() *NatsAPI {\n\tjobConc := 8\n\tnodeConc := 2\n\n\tif s := config.Keys.APISubjects; s != nil {\n\t\tif s.JobConcurrency > 0 {\n\t\t\tjobConc = s.JobConcurrency\n\t\t}\n\t\tif s.NodeConcurrency > 0 {\n\t\t\tnodeConc = s.NodeConcurrency\n\t\t}\n\t}\n\n\tapi := &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobCh:         make(chan natsMessage, jobConc),\n\t\tnodeCh:        make(chan natsMessage, nodeConc),\n\t}\n\n\t// Start worker goroutines\n\tfor range jobConc {\n\t\tgo api.jobWorker()\n\t}\n\tfor range nodeConc {\n\t\tgo api.nodeWorker()\n\t}\n\n\treturn api\n}\n\n// jobWorker processes job event messages from the job channel.\nfunc (api *NatsAPI) jobWorker() {\n\tfor msg := range api.jobCh {\n\t\tapi.handleJobEvent(msg.subject, msg.data)\n\t}\n}\n\n// nodeWorker processes node state messages from the node channel.\nfunc (api *NatsAPI) nodeWorker() {\n\tfor msg := range api.nodeCh {\n\t\tapi.handleNodeState(msg.subject, msg.data)\n\t}\n}\n\n// subscribe registers a NATS subscription using queue groups when configured.\nfunc subscribe(client *nats.Client, subject string, queueGroup string, handler func(string, []byte)) error {\n\tif queueGroup != \"\" {\n\t\treturn client.SubscribeQueue(subject, queueGroup, handler)\n\t}\n\treturn client.Subscribe(subject, handler)\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Messages are delivered to buffered channels and processed by worker goroutines.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\t\ts := config.Keys.APISubjects\n\t\tqg := s.QueueGroup\n\n\t\tif err := subscribe(client, s.SubjectJobEvent, qg, func(subject string, data []byte) {\n\t\t\tapi.jobCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := subscribe(client, s.SubjectNodeState, qg, func(subject string, data []byte) {\n\t\t\tapi.nodeCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1065,"cache_read_input_tokens":41489,"output_tokens":2325,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1065,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6dbcGznoB4kQ6diX9k7","type":"assistant","uuid":"de75183c-21f3-40c2-a564-e42cd923e69c","timestamp":"2026-03-16T10:52:03.248Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"}
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+{"parentUuid":"de75183c-21f3-40c2-a564-e42cd923e69c","isSidechain":false,"promptId":"66979d8d-658a-487e-82d6-dc570b03867c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XJVvk4PRR1mymGqZPrVw9G","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"6a0f4199-93ac-48c4-b704-1f59f2a19e33","timestamp":"2026-03-16T10:52:03.259Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n\t// when the database is under contention.\n\tjobSem chan struct{}\n\t// nodeSem limits concurrent NATS node state processing.\n\tnodeSem chan struct{}\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobSem:        make(chan struct{}, 8),\n\t\tnodeSem:       make(chan struct{}, 2),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}","newString":"// natsMessage wraps a raw NATS message with its subject for channel-based processing.\ntype natsMessage struct {\n\tsubject string\n\tdata    []byte\n}\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobCh receives job event messages for processing by worker goroutines.\n\tjobCh chan natsMessage\n\t// nodeCh receives node state messages for processing by worker goroutines.\n\tnodeCh chan natsMessage\n}\n\n// NewNatsAPI creates a new NatsAPI instance with channel-based worker pools.\n// Concurrency is configured via NATSConfig (defaults: JobConcurrency=8, NodeConcurrency=2).\nfunc NewNatsAPI() *NatsAPI {\n\tjobConc := 8\n\tnodeConc := 2\n\n\tif s := config.Keys.APISubjects; s != nil {\n\t\tif s.JobConcurrency > 0 {\n\t\t\tjobConc = s.JobConcurrency\n\t\t}\n\t\tif s.NodeConcurrency > 0 {\n\t\t\tnodeConc = s.NodeConcurrency\n\t\t}\n\t}\n\n\tapi := &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobCh:         make(chan natsMessage, jobConc),\n\t\tnodeCh:        make(chan natsMessage, nodeConc),\n\t}\n\n\t// Start worker goroutines\n\tfor range jobConc {\n\t\tgo api.jobWorker()\n\t}\n\tfor range nodeConc {\n\t\tgo api.nodeWorker()\n\t}\n\n\treturn api\n}\n\n// jobWorker processes job event messages from the job channel.\nfunc (api *NatsAPI) jobWorker() {\n\tfor msg := range api.jobCh {\n\t\tapi.handleJobEvent(msg.subject, msg.data)\n\t}\n}\n\n// nodeWorker processes node state messages from the node channel.\nfunc (api *NatsAPI) nodeWorker() {\n\tfor msg := range api.nodeCh {\n\t\tapi.handleNodeState(msg.subject, msg.data)\n\t}\n}\n\n// subscribe registers a NATS subscription using queue groups when configured.\nfunc subscribe(client *nats.Client, subject string, queueGroup string, handler func(string, []byte)) error {\n\tif queueGroup != \"\" {\n\t\treturn client.SubscribeQueue(subject, queueGroup, handler)\n\t}\n\treturn client.Subscribe(subject, handler)\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Messages are delivered to buffered channels and processed by worker goroutines.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\t\ts := config.Keys.APISubjects\n\t\tqg := s.QueueGroup\n\n\t\tif err := subscribe(client, s.SubjectJobEvent, qg, func(subject string, data []byte) {\n\t\t\tapi.jobCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := subscribe(client, s.SubjectNodeState, qg, func(subject string, data []byte) {\n\t\t\tapi.nodeCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n\t// when the database is under contention.\n\tjobSem chan struct{}\n\t// nodeSem limits concurrent NATS node state processing.\n\tnodeSem chan struct{}\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobSem:        make(chan struct{}, 8),\n\t\tnodeSem:       make(chan struct{}, 2),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tapi.jobSem <- struct{}{}\n\tdefer func() { <-api.jobSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tapi.nodeSem <- struct{}{}\n\tdefer func() { <-api.nodeSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":24,"oldLines":6,"newStart":24,"newLines":12,"lines":["   influx \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\""," )"," ","+// natsMessage wraps a raw NATS message with its subject for channel-based processing.","+type natsMessage struct {","+  subject string","+  data    []byte","+}","+"," // NatsAPI provides NATS subscription-based handlers for Job and Node operations."," // It mirrors the functionality of the REST API but uses NATS messaging with"," // InfluxDB line protocol as the message format."]},{"oldStart":64,"oldLines":23,"newStart":70,"newLines":68,"lines":["   // RepositoryMutex protects job creation operations from race conditions","   // when checking for duplicate jobs during startJob calls.","   RepositoryMutex sync.Mutex","-  // jobSem limits concurrent NATS job event processing to prevent goroutine accumulation","-  // when the database is under contention.","-  jobSem chan struct{}","-  // nodeSem limits concurrent NATS node state processing.","-  nodeSem chan struct{}","+  // jobCh receives job event messages for processing by worker goroutines.","+  jobCh chan natsMessage","+  // nodeCh receives node state messages for processing by worker goroutines.","+  nodeCh chan natsMessage"," }"," ","-// NewNatsAPI creates a new NatsAPI instance with default dependencies.","+// NewNatsAPI creates a new NatsAPI instance with channel-based worker pools.","+// Concurrency is configured via NATSConfig (defaults: JobConcurrency=8, NodeConcurrency=2)."," func NewNatsAPI() *NatsAPI {","-  return &NatsAPI{","+  jobConc := 8","+  nodeConc := 2","+","+  if s := config.Keys.APISubjects; s != nil {","+    if s.JobConcurrency > 0 {","+      jobConc = s.JobConcurrency","+    }","+    if s.NodeConcurrency > 0 {","+      nodeConc = s.NodeConcurrency","+    }","+  }","+","+  api := &NatsAPI{","     JobRepository: repository.GetJobRepository(),","-    jobSem:        make(chan struct{}, 8),","-    nodeSem:       make(chan struct{}, 2),","+    jobCh:         make(chan natsMessage, jobConc),","+    nodeCh:        make(chan natsMessage, nodeConc),","   }","+","+  // Start worker goroutines","+  for range jobConc {","+    go api.jobWorker()","+  }","+  for range nodeConc {","+    go api.nodeWorker()","+  }","+","+  return api"," }"," ","+// jobWorker processes job event messages from the job channel.","+func (api *NatsAPI) jobWorker() {","+  for msg := range api.jobCh {","+    api.handleJobEvent(msg.subject, msg.data)","+  }","+}","+","+// nodeWorker processes node state messages from the node channel.","+func (api *NatsAPI) nodeWorker() {","+  for msg := range api.nodeCh {","+    api.handleNodeState(msg.subject, msg.data)","+  }","+}","+","+// subscribe registers a NATS subscription using queue groups when configured.","+func subscribe(client *nats.Client, subject string, queueGroup string, handler func(string, []byte)) error {","+  if queueGroup != \"\" {","+    return client.SubscribeQueue(subject, queueGroup, handler)","+  }","+  return client.Subscribe(subject, handler)","+}","+"," // StartSubscriptions registers all NATS subscriptions for Job and Node APIs.","+// Messages are delivered to buffered channels and processed by worker goroutines."," // Returns an error if the NATS client is not available or subscription fails."," func (api *NatsAPI) StartSubscriptions() error {","   client := nats.GetClient()"]},{"oldStart":90,"oldLines":14,"newStart":141,"newLines":18,"lines":["   }"," ","   if config.Keys.APISubjects != nil {","-","     s := config.Keys.APISubjects","+    qg := s.QueueGroup"," ","-    if err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {","+    if err := subscribe(client, s.SubjectJobEvent, qg, func(subject string, data []byte) {","+      api.jobCh <- natsMessage{subject: subject, data: data}","+    }); err != nil {","       return err","     }"," ","-    if err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {","+    if err := subscribe(client, s.SubjectNodeState, qg, func(subject string, data []byte) {","+      api.nodeCh <- natsMessage{subject: subject, data: data}","+    }); err != nil {","       return err","     }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"de75183c-21f3-40c2-a564-e42cd923e69c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// natsMessage wraps a raw NATS message with its subject for channel-based processing.\ntype natsMessage struct {\n\tsubject string\n\tdata    []byte\n}\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobCh receives job event messages for processing by worker goroutines.\n\tjobCh chan natsMessage\n\t// nodeCh receives node state messages for processing by worker goroutines.\n\tnodeCh chan natsMessage\n}\n\n// NewNatsAPI creates a new NatsAPI instance with channel-based worker pools.\n// Concurrency is configured via NATSConfig (defaults: JobConcurrency=8, NodeConcurrency=2).\nfunc NewNatsAPI() *NatsAPI {\n\tjobConc := 8\n\tnodeConc := 2\n\n\tif s := config.Keys.APISubjects; s != nil {\n\t\tif s.JobConcurrency > 0 {\n\t\t\tjobConc = s.JobConcurrency\n\t\t}\n\t\tif s.NodeConcurrency > 0 {\n\t\t\tnodeConc = s.NodeConcurrency\n\t\t}\n\t}\n\n\tapi := &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobCh:         make(chan natsMessage, jobConc),\n\t\tnodeCh:        make(chan natsMessage, nodeConc),\n\t}\n\n\t// Start worker goroutines\n\tfor range jobConc {\n\t\tgo api.jobWorker()\n\t}\n\tfor range nodeConc {\n\t\tgo api.nodeWorker()\n\t}\n\n\treturn api\n}\n\n// jobWorker processes job event messages from the job channel.\nfunc (api *NatsAPI) jobWorker() {\n\tfor msg := range api.jobCh {\n\t\tapi.handleJobEvent(msg.subject, msg.data)\n\t}\n}\n\n// nodeWorker processes node state messages from the node channel.\nfunc (api *NatsAPI) nodeWorker() {\n\tfor msg := range api.nodeCh {\n\t\tapi.handleNodeState(msg.subject, msg.data)\n\t}\n}\n\n// subscribe registers a NATS subscription using queue groups when configured.\nfunc subscribe(client *nats.Client, subject string, queueGroup string, handler func(string, []byte)) error {\n\tif queueGroup != \"\" {\n\t\treturn client.SubscribeQueue(subject, queueGroup, handler)\n\t}\n\treturn client.Subscribe(subject, handler)\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Messages are delivered to buffered channels and processed by worker goroutines.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\t\ts := config.Keys.APISubjects\n\t\tqg := s.QueueGroup\n\n\t\tif err := subscribe(client, s.SubjectJobEvent, qg, func(subject string, data []byte) {\n\t\t\tapi.jobCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := subscribe(client, s.SubjectNodeState, qg, func(subject string, data []byte) {\n\t\t\tapi.nodeCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tapi.jobSem <- struct{}{}\n\tdefer func() { <-api.jobSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tapi.nodeSem <- struct{}{}\n\tdefer func() { <-api.nodeSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":199,"oldLines":9,"newStart":199,"newLines":6,"lines":[" //"," // Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000"," func (api *NatsAPI) handleJobEvent(subject string, data []byte) {","-  api.jobSem <- struct{}{}","-  defer func() { <-api.jobSem }()","-","   if len(data) == 0 {","     cclog.Warnf(\"NATS %s: received empty message\", subject)","     return"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"731be51b-0e04-4ffa-9554-885194755b23","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// natsMessage wraps a raw NATS message with its subject for channel-based processing.\ntype natsMessage struct {\n\tsubject string\n\tdata    []byte\n}\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobCh receives job event messages for processing by worker goroutines.\n\tjobCh chan natsMessage\n\t// nodeCh receives node state messages for processing by worker goroutines.\n\tnodeCh chan natsMessage\n}\n\n// NewNatsAPI creates a new NatsAPI instance with channel-based worker pools.\n// Concurrency is configured via NATSConfig (defaults: JobConcurrency=8, NodeConcurrency=2).\nfunc NewNatsAPI() *NatsAPI {\n\tjobConc := 8\n\tnodeConc := 2\n\n\tif s := config.Keys.APISubjects; s != nil {\n\t\tif s.JobConcurrency > 0 {\n\t\t\tjobConc = s.JobConcurrency\n\t\t}\n\t\tif s.NodeConcurrency > 0 {\n\t\t\tnodeConc = s.NodeConcurrency\n\t\t}\n\t}\n\n\tapi := &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobCh:         make(chan natsMessage, jobConc),\n\t\tnodeCh:        make(chan natsMessage, nodeConc),\n\t}\n\n\t// Start worker goroutines\n\tfor range jobConc {\n\t\tgo api.jobWorker()\n\t}\n\tfor range nodeConc {\n\t\tgo api.nodeWorker()\n\t}\n\n\treturn api\n}\n\n// jobWorker processes job event messages from the job channel.\nfunc (api *NatsAPI) jobWorker() {\n\tfor msg := range api.jobCh {\n\t\tapi.handleJobEvent(msg.subject, msg.data)\n\t}\n}\n\n// nodeWorker processes node state messages from the node channel.\nfunc (api *NatsAPI) nodeWorker() {\n\tfor msg := range api.nodeCh {\n\t\tapi.handleNodeState(msg.subject, msg.data)\n\t}\n}\n\n// subscribe registers a NATS subscription using queue groups when configured.\nfunc subscribe(client *nats.Client, subject string, queueGroup string, handler func(string, []byte)) error {\n\tif queueGroup != \"\" {\n\t\treturn client.SubscribeQueue(subject, queueGroup, handler)\n\t}\n\treturn client.Subscribe(subject, handler)\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Messages are delivered to buffered channels and processed by worker goroutines.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\t\ts := config.Keys.APISubjects\n\t\tqg := s.QueueGroup\n\n\t\tif err := subscribe(client, s.SubjectJobEvent, qg, func(subject string, data []byte) {\n\t\t\tapi.jobCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := subscribe(client, s.SubjectNodeState, qg, func(subject string, data []byte) {\n\t\t\tapi.nodeCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tapi.nodeSem <- struct{}{}\n\tdefer func() { <-api.nodeSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":439,"oldLines":9,"newStart":439,"newLines":6,"lines":[" //"," // Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000"," func (api *NatsAPI) handleNodeState(subject string, data []byte) {","-  api.nodeSem <- struct{}{}","-  defer func() { <-api.nodeSem }()","-","   if len(data) == 0 {","     cclog.Warnf(\"NATS %s: received empty message\", subject)","     return"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"97f27a0d-1dff-4bb4-8f05-fd9dfca2df9c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"}
+{"parentUuid":"efad14ac-eb60-4b03-9785-72880690b5a2","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01SHArEchGqgUh3sf5xXJV7r","type":"message","role":"assistant","content":[{"type":"text","text":"There are still references to the old semaphore fields. Let me check what's on those lines."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":395,"cache_read_input_tokens":45566,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":395},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6deZXdqQn6dAo6twbxg","type":"assistant","uuid":"12f3c230-7929-42ce-b594-11ae957e9cb5","timestamp":"2026-03-16T10:52:16.311Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"}
+{"parentUuid":"12f3c230-7929-42ce-b594-11ae957e9cb5","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01SHArEchGqgUh3sf5xXJV7r","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RgFDCPndryefTQNWEvUXLj","name":"Grep","input":{"pattern":"jobSem|nodeSem","path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","output_mode":"content"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":395,"cache_read_input_tokens":45566,"output_tokens":141,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":395,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6deZXdqQn6dAo6twbxg","type":"assistant","uuid":"c512a431-1089-4cf1-b931-0b3fe24a94b9","timestamp":"2026-03-16T10:52:17.310Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"}
+{"parentUuid":"c512a431-1089-4cf1-b931-0b3fe24a94b9","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01RgFDCPndryefTQNWEvUXLj","toolUseID":"toolu_01RgFDCPndryefTQNWEvUXLj","timestamp":"2026-03-16T10:52:17.348Z","uuid":"73f114ea-0a53-4a04-8218-b17fbb00fc1b","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"}
+{"parentUuid":"c512a431-1089-4cf1-b931-0b3fe24a94b9","isSidechain":false,"promptId":"66979d8d-658a-487e-82d6-dc570b03867c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RgFDCPndryefTQNWEvUXLj","type":"tool_result","content":"No matches found"}]},"uuid":"81fe2583-ee69-4941-b553-9d40baf30d6a","timestamp":"2026-03-16T10:52:17.348Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"","numLines":0},"sourceToolAssistantUUID":"c512a431-1089-4cf1-b931-0b3fe24a94b9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"}
+{"parentUuid":"81fe2583-ee69-4941-b553-9d40baf30d6a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01SmKB5Ax5a51u3UH2rJLACo","type":"message","role":"assistant","content":[{"type":"text","text":"Good, no more references. The diagnostics must have been stale. Now let me build and test."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":156,"cache_read_input_tokens":45961,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":156},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6deuH2aGRZmKeCX6wZ6","type":"assistant","uuid":"983c2297-43d2-4f69-8b8a-7e93786e97a6","timestamp":"2026-03-16T10:52:22.080Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"}
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+{"parentUuid":"4a1d1dd6-44c0-4a53-b9e9-d2f3664d4342","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017cFq5EM7HSBNUvdw3urqPP","type":"message","role":"assistant","content":[{"type":"text","text":"Build and vet pass. Now run the tests."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":232,"cache_read_input_tokens":46117,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":232},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6dfr2rCiUfnYzGM5Ztk","type":"assistant","uuid":"c17ed003-df36-4cc7-a67b-16b90f14da78","timestamp":"2026-03-16T10:52:33.993Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"}
+{"parentUuid":"c17ed003-df36-4cc7-a67b-16b90f14da78","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017cFq5EM7HSBNUvdw3urqPP","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DXStoFoEeYbw148tUCgNLu","name":"Bash","input":{"command":"go test ./internal/api/... -v -count=1 -timeout 120s 2>&1 | tail -80","description":"Run NATS API tests","timeout":180000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":232,"cache_read_input_tokens":46117,"output_tokens":151,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":232,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6dfr2rCiUfnYzGM5Ztk","type":"assistant","uuid":"10010e78-c6cf-4585-9eee-1cfad80e73a6","timestamp":"2026-03-16T10:52:35.044Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"}
+{"parentUuid":"10010e78-c6cf-4585-9eee-1cfad80e73a6","isSidechain":false,"promptId":"66979d8d-658a-487e-82d6-dc570b03867c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DXStoFoEeYbw148tUCgNLu","type":"tool_result","content":"<6>[INFO]     2026/03/16 11:52:39 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO]     2026/03/16 11:52:39 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsHandleNodeStateEdgeCases (0.30s)\n    --- PASS: TestNatsHandleNodeStateEdgeCases/missing_cluster_field_in_JSON (0.05s)\n    --- PASS: TestNatsHandleNodeStateEdgeCases/malformed_JSON_with_unescaped_quotes (0.05s)\n    --- PASS: TestNatsHandleNodeStateEdgeCases/unicode_characters_in_hostname (0.05s)\n    --- PASS: TestNatsHandleNodeStateEdgeCases/very_large_node_count (0.05s)\n    --- PASS: TestNatsHandleNodeStateEdgeCases/timestamp_in_past (0.05s)\n=== RUN   TestNatsHandleStartJobDuplicatePrevention\n<6>[INFO]     2026/03/16 11:52:39 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO]     2026/03/16 11:52:39 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO]     2026/03/16 11:52:39 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n<6>[INFO]     2026/03/16 11:52:39 nats.go:297: NATS: new job (id: 1): cluster=testcluster, jobId=5001, user=testuser, startTime=1234567890\n<3>[ERROR]    2026/03/16 11:52:40 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:269: NATS start job: job with jobId 5001, cluster testcluster already exists (dbid: 113234315163880)\n<6>[INFO]     2026/03/16 11:52:40 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO]     2026/03/16 11:52:40 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO]     2026/03/16 11:52:40 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsHandleStartJobDuplicatePrevention (0.25s)\n=== RUN   TestRestApi\n<6>[INFO]     2026/03/16 11:52:40 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO]     2026/03/16 11:52:40 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO]     2026/03/16 11:52:40 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n<6>[INFO]     2026/03/16 11:52:40 rest.go:88: Enabling REST start/stop job API\n=== RUN   TestRestApi/StartJob\n<6>[INFO]     2026/03/16 11:52:40 job.go:779: new job (id: 1): cluster=testcluster, jobId=123, user=testuser, startTime=123456789\n=== RUN   TestRestApi/StopJob\n<4>[WARNING]  2026/03/16 11:52:40 job.go:162: Error while scanning rows (Job): sql: no rows in result set\n<6>[INFO]     2026/03/16 11:52:40 job.go:1035: archiving job... (dbid: 1): cluster=testcluster, jobId=123, user=testuser, startTime=123456789, duration=1000, state=completed\n=== RUN   TestRestApi/CheckArchive\n=== RUN   TestRestApi/CheckDoubleStart\n<4>[WARNING]  2026/03/16 11:52:40 rest.go:187: REST ERROR : a job with that jobId, cluster and startTime already exists: dbid: 1, jobid: 123\n=== RUN   TestRestApi/StartJobFailed\n<6>[INFO]     2026/03/16 11:52:40 job.go:779: new job (id: 1): cluster=testcluster, jobId=12345, user=testuser, startTime=12345678\n<6>[INFO]     2026/03/16 11:52:40 archiveWorker.go:165: archiving job (dbid: 1) successful\n=== RUN   TestRestApi/StopJobFailed\n<4>[WARNING]  2026/03/16 11:52:41 job.go:162: Error while scanning rows (Job): sql: no rows in result set\n<6>[INFO]     2026/03/16 11:52:41 job.go:1035: archiving job... (dbid: 2): cluster=testcluster, jobId=12345, user=testuser, startTime=12345678, duration=10000, state=failed\n=== RUN   TestRestApi/GetUsedNodesNoRunning\n<6>[INFO]     2026/03/16 11:52:41 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO]     2026/03/16 11:52:41 archiveWorker.go:165: archiving job (dbid: 2) successful\n<6>[INFO]     2026/03/16 11:52:41 archiveWorker.go:121: Archive channel closed, worker exiting\n<6>[INFO]     2026/03/16 11:52:41 archiveWorker.go:238: All archive jobs completed successfully\n--- PASS: TestRestApi (1.05s)\n    --- PASS: TestRestApi/StartJob (0.00s)\n    --- PASS: TestRestApi/StopJob (0.00s)\n    --- PASS: TestRestApi/CheckArchive (0.00s)\n    --- PASS: TestRestApi/CheckDoubleStart (0.00s)\n    --- PASS: TestRestApi/StartJobFailed (0.00s)\n    --- PASS: TestRestApi/StopJobFailed (0.00s)\n    --- PASS: TestRestApi/GetUsedNodesNoRunning (0.00s)\n=== RUN   TestStopJobWithReusedJobId\n<6>[INFO]     2026/03/16 11:52:41 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO]     2026/03/16 11:52:41 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO]     2026/03/16 11:52:41 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n<6>[INFO]     2026/03/16 11:52:41 rest.go:88: Enabling REST start/stop job API\n=== RUN   TestStopJobWithReusedJobId/StartFirstJob\n<6>[INFO]     2026/03/16 11:52:41 job.go:779: new job (id: 1): cluster=testcluster, jobId=999, user=testuser, startTime=200000000\n=== RUN   TestStopJobWithReusedJobId/StopFirstJobAsFailed\n<4>[WARNING]  2026/03/16 11:52:42 job.go:162: Error while scanning rows (Job): sql: no rows in result set\n<6>[INFO]     2026/03/16 11:52:42 job.go:1035: archiving job... (dbid: 1): cluster=testcluster, jobId=999, user=testuser, startTime=200000000, duration=1000, state=failed\n<6>[INFO]     2026/03/16 11:52:42 archiveWorker.go:165: archiving job (dbid: 1) successful\n=== RUN   TestStopJobWithReusedJobId/StartSecondJob\n<6>[INFO]     2026/03/16 11:52:43 job.go:779: new job (id: 1): cluster=testcluster, jobId=999, user=testuser, startTime=300000000\n=== RUN   TestStopJobWithReusedJobId/StopSecondJobBeforeSync\n<6>[INFO]     2026/03/16 11:52:43 job.go:1026: transferred cached job to main table: old id 1 -> new id 2 (jobId=999)\n<6>[INFO]     2026/03/16 11:52:43 job.go:1035: archiving job... (dbid: 2): cluster=testcluster, jobId=999, user=testuser, startTime=300000000, duration=1000, state=completed\n<6>[INFO]     2026/03/16 11:52:43 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO]     2026/03/16 11:52:43 archiveWorker.go:165: archiving job (dbid: 2) successful\n<6>[INFO]     2026/03/16 11:52:43 archiveWorker.go:121: Archive channel closed, worker exiting\n<6>[INFO]     2026/03/16 11:52:43 archiveWorker.go:238: All archive jobs completed successfully\n--- PASS: TestStopJobWithReusedJobId (2.04s)\n    --- PASS: TestStopJobWithReusedJobId/StartFirstJob (0.00s)\n    --- PASS: TestStopJobWithReusedJobId/StopFirstJobAsFailed (0.00s)\n    --- PASS: TestStopJobWithReusedJobId/StartSecondJob (0.00s)\n    --- PASS: TestStopJobWithReusedJobId/StopSecondJobBeforeSync (0.00s)\nPASS\nok  \tgithub.com/ClusterCockpit/cc-backend/internal/api\t7.036s","is_error":false}]},"uuid":"591a630b-c031-4486-9d1e-6b3c0d55d8dc","timestamp":"2026-03-16T10:52:43.274Z","toolUseResult":{"stdout":"<6>[INFO]     2026/03/16 11:52:39 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO]     2026/03/16 11:52:39 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsHandleNodeStateEdgeCases (0.30s)\n    --- PASS: TestNatsHandleNodeStateEdgeCases/missing_cluster_field_in_JSON (0.05s)\n    --- PASS: TestNatsHandleNodeStateEdgeCases/malformed_JSON_with_unescaped_quotes (0.05s)\n    --- PASS: TestNatsHandleNodeStateEdgeCases/unicode_characters_in_hostname (0.05s)\n    --- PASS: TestNatsHandleNodeStateEdgeCases/very_large_node_count (0.05s)\n    --- PASS: TestNatsHandleNodeStateEdgeCases/timestamp_in_past (0.05s)\n=== RUN   TestNatsHandleStartJobDuplicatePrevention\n<6>[INFO]     2026/03/16 11:52:39 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO]     2026/03/16 11:52:39 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO]     2026/03/16 11:52:39 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n<6>[INFO]     2026/03/16 11:52:39 nats.go:297: NATS: new job (id: 1): cluster=testcluster, jobId=5001, user=testuser, startTime=1234567890\n<3>[ERROR]    2026/03/16 11:52:40 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:269: NATS start job: job with jobId 5001, cluster testcluster already exists (dbid: 113234315163880)\n<6>[INFO]     2026/03/16 11:52:40 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO]     2026/03/16 11:52:40 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO]     2026/03/16 11:52:40 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsHandleStartJobDuplicatePrevention (0.25s)\n=== RUN   TestRestApi\n<6>[INFO]     2026/03/16 11:52:40 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO]     2026/03/16 11:52:40 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO]     2026/03/16 11:52:40 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n<6>[INFO]     2026/03/16 11:52:40 rest.go:88: Enabling REST start/stop job API\n=== RUN   TestRestApi/StartJob\n<6>[INFO]     2026/03/16 11:52:40 job.go:779: new job (id: 1): cluster=testcluster, jobId=123, user=testuser, startTime=123456789\n=== RUN   TestRestApi/StopJob\n<4>[WARNING]  2026/03/16 11:52:40 job.go:162: Error while scanning rows (Job): sql: no rows in result set\n<6>[INFO]     2026/03/16 11:52:40 job.go:1035: archiving job... (dbid: 1): cluster=testcluster, jobId=123, user=testuser, startTime=123456789, duration=1000, state=completed\n=== RUN   TestRestApi/CheckArchive\n=== RUN   TestRestApi/CheckDoubleStart\n<4>[WARNING]  2026/03/16 11:52:40 rest.go:187: REST ERROR : a job with that jobId, cluster and startTime already exists: dbid: 1, jobid: 123\n=== RUN   TestRestApi/StartJobFailed\n<6>[INFO]     2026/03/16 11:52:40 job.go:779: new job (id: 1): cluster=testcluster, jobId=12345, user=testuser, startTime=12345678\n<6>[INFO]     2026/03/16 11:52:40 archiveWorker.go:165: archiving job (dbid: 1) successful\n=== RUN   TestRestApi/StopJobFailed\n<4>[WARNING]  2026/03/16 11:52:41 job.go:162: Error while scanning rows (Job): sql: no rows in result set\n<6>[INFO]     2026/03/16 11:52:41 job.go:1035: archiving job... (dbid: 2): cluster=testcluster, jobId=12345, user=testuser, startTime=12345678, duration=10000, state=failed\n=== RUN   TestRestApi/GetUsedNodesNoRunning\n<6>[INFO]     2026/03/16 11:52:41 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO]     2026/03/16 11:52:41 archiveWorker.go:165: archiving job (dbid: 2) successful\n<6>[INFO]     2026/03/16 11:52:41 archiveWorker.go:121: Archive channel closed, worker exiting\n<6>[INFO]     2026/03/16 11:52:41 archiveWorker.go:238: All archive jobs completed successfully\n--- PASS: TestRestApi (1.05s)\n    --- PASS: TestRestApi/StartJob (0.00s)\n    --- PASS: TestRestApi/StopJob (0.00s)\n    --- PASS: TestRestApi/CheckArchive (0.00s)\n    --- PASS: TestRestApi/CheckDoubleStart (0.00s)\n    --- PASS: TestRestApi/StartJobFailed (0.00s)\n    --- PASS: TestRestApi/StopJobFailed (0.00s)\n    --- PASS: TestRestApi/GetUsedNodesNoRunning (0.00s)\n=== RUN   TestStopJobWithReusedJobId\n<6>[INFO]     2026/03/16 11:52:41 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO]     2026/03/16 11:52:41 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO]     2026/03/16 11:52:41 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n<6>[INFO]     2026/03/16 11:52:41 rest.go:88: Enabling REST start/stop job API\n=== RUN   TestStopJobWithReusedJobId/StartFirstJob\n<6>[INFO]     2026/03/16 11:52:41 job.go:779: new job (id: 1): cluster=testcluster, jobId=999, user=testuser, startTime=200000000\n=== RUN   TestStopJobWithReusedJobId/StopFirstJobAsFailed\n<4>[WARNING]  2026/03/16 11:52:42 job.go:162: Error while scanning rows (Job): sql: no rows in result set\n<6>[INFO]     2026/03/16 11:52:42 job.go:1035: archiving job... (dbid: 1): cluster=testcluster, jobId=999, user=testuser, startTime=200000000, duration=1000, state=failed\n<6>[INFO]     2026/03/16 11:52:42 archiveWorker.go:165: archiving job (dbid: 1) successful\n=== RUN   TestStopJobWithReusedJobId/StartSecondJob\n<6>[INFO]     2026/03/16 11:52:43 job.go:779: new job (id: 1): cluster=testcluster, jobId=999, user=testuser, startTime=300000000\n=== RUN   TestStopJobWithReusedJobId/StopSecondJobBeforeSync\n<6>[INFO]     2026/03/16 11:52:43 job.go:1026: transferred cached job to main table: old id 1 -> new id 2 (jobId=999)\n<6>[INFO]     2026/03/16 11:52:43 job.go:1035: archiving job... (dbid: 2): cluster=testcluster, jobId=999, user=testuser, startTime=300000000, duration=1000, state=completed\n<6>[INFO]     2026/03/16 11:52:43 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO]     2026/03/16 11:52:43 archiveWorker.go:165: archiving job (dbid: 2) successful\n<6>[INFO]     2026/03/16 11:52:43 archiveWorker.go:121: Archive channel closed, worker exiting\n<6>[INFO]     2026/03/16 11:52:43 archiveWorker.go:238: All archive jobs completed successfully\n--- PASS: TestStopJobWithReusedJobId (2.04s)\n    --- PASS: TestStopJobWithReusedJobId/StartFirstJob (0.00s)\n    --- PASS: TestStopJobWithReusedJobId/StopFirstJobAsFailed (0.00s)\n    --- PASS: TestStopJobWithReusedJobId/StartSecondJob (0.00s)\n    --- PASS: TestStopJobWithReusedJobId/StopSecondJobBeforeSync (0.00s)\nPASS\nok  \tgithub.com/ClusterCockpit/cc-backend/internal/api\t7.036s","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"10010e78-c6cf-4585-9eee-1cfad80e73a6","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"}
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+{"parentUuid":"1add6bd4-a28e-4f1a-8bda-a31d16108198","isSidechain":false,"promptId":"199b3d72-f5b0-4b75-86a0-07c82c987e1a","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FveJNRtPJBBc9b2vt1jPV9","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"database/sql\"\n    10→\t\"encoding/json\"\n    11→\t\"strings\"\n    12→\t\"sync\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n    21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n    23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    24→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n    25→)\n    26→\n    27→// natsMessage wraps a raw NATS message with its subject for channel-based processing.\n    28→type natsMessage struct {\n    29→\tsubject string\n    30→\tdata    []byte\n    31→}\n    32→\n    33→// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n    34→// It mirrors the functionality of the REST API but uses NATS messaging with\n    35→// InfluxDB line protocol as the message format.\n    36→//\n    37→// # Message Format\n    38→//\n    39→// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n    40→// with the following structure:\n    41→//\n    42→//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n    43→//\n    44→// # Job Events\n    45→//\n    46→// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n    47→//\n    48→//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n    49→//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n    50→//\n    51→// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n    52→//\n    53→// Example job start message:\n    54→//\n    55→//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n    56→//\n    57→// # Node State Events\n    58→//\n    59→// Node state updates use the \"nodestate\" measurement with cluster information:\n    60→//\n    61→//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n    62→//\n    63→// The JSON payload follows the UpdateNodeStatesRequest structure.\n    64→//\n    65→// Example node state message:\n    66→//\n    67→//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\n    68→type NatsAPI struct {\n    69→\tJobRepository *repository.JobRepository\n    70→\t// RepositoryMutex protects job creation operations from race conditions\n    71→\t// when checking for duplicate jobs during startJob calls.\n    72→\tRepositoryMutex sync.Mutex\n    73→\t// jobCh receives job event messages for processing by worker goroutines.\n    74→\tjobCh chan natsMessage\n    75→\t// nodeCh receives node state messages for processing by worker goroutines.\n    76→\tnodeCh chan natsMessage\n    77→}\n    78→\n    79→// NewNatsAPI creates a new NatsAPI instance with channel-based worker pools.\n    80→// Concurrency is configured via NATSConfig (defaults: JobConcurrency=8, NodeConcurrency=2).\n    81→func NewNatsAPI() *NatsAPI {\n    82→\tjobConc := 8\n    83→\tnodeConc := 2\n    84→\n    85→\tif s := config.Keys.APISubjects; s != nil {\n    86→\t\tif s.JobConcurrency > 0 {\n    87→\t\t\tjobConc = s.JobConcurrency\n    88→\t\t}\n    89→\t\tif s.NodeConcurrency > 0 {\n    90→\t\t\tnodeConc = s.NodeConcurrency\n    91→\t\t}\n    92→\t}\n    93→\n    94→\tapi := &NatsAPI{\n    95→\t\tJobRepository: repository.GetJobRepository(),\n    96→\t\tjobCh:         make(chan natsMessage, jobConc),\n    97→\t\tnodeCh:        make(chan natsMessage, nodeConc),\n    98→\t}\n    99→\n   100→\t// Start worker goroutines\n   101→\tfor range jobConc {\n   102→\t\tgo api.jobWorker()\n   103→\t}\n   104→\tfor range nodeConc {\n   105→\t\tgo api.nodeWorker()\n   106→\t}\n   107→\n   108→\treturn api\n   109→}\n   110→\n   111→// jobWorker processes job event messages from the job channel.\n   112→func (api *NatsAPI) jobWorker() {\n   113→\tfor msg := range api.jobCh {\n   114→\t\tapi.handleJobEvent(msg.subject, msg.data)\n   115→\t}\n   116→}\n   117→\n   118→// nodeWorker processes node state messages from the node channel.\n   119→func (api *NatsAPI) nodeWorker() {\n   120→\tfor msg := range api.nodeCh {\n   121→\t\tapi.handleNodeState(msg.subject, msg.data)\n   122→\t}\n   123→}\n   124→\n   125→// subscribe registers a NATS subscription using queue groups when configured.\n   126→func subscribe(client *nats.Client, subject string, queueGroup string, handler func(string, []byte)) error {\n   127→\tif queueGroup != \"\" {\n   128→\t\treturn client.SubscribeQueue(subject, queueGroup, handler)\n   129→\t}\n   130→\treturn client.Subscribe(subject, handler)\n   131→}\n   132→\n   133→// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n   134→// Messages are delivered to buffered channels and processed by worker goroutines.\n   135→// Returns an error if the NATS client is not available or subscription fails.\n   136→func (api *NatsAPI) StartSubscriptions() error {\n   137→\tclient := nats.GetClient()\n   138→\tif client == nil {\n   139→\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n   140→\t\treturn nil\n   141→\t}\n   142→\n   143→\tif config.Keys.APISubjects != nil {\n   144→\t\ts := config.Keys.APISubjects\n   145→\t\tqg := s.QueueGroup\n   146→\n   147→\t\tif err := subscribe(client, s.SubjectJobEvent, qg, func(subject string, data []byte) {\n   148→\t\t\tapi.jobCh <- natsMessage{subject: subject, data: data}\n   149→\t\t}); err != nil {\n   150→\t\t\treturn err\n   151→\t\t}\n   152→\n   153→\t\tif err := subscribe(client, s.SubjectNodeState, qg, func(subject string, data []byte) {\n   154→\t\t\tapi.nodeCh <- natsMessage{subject: subject, data: data}\n   155→\t\t}); err != nil {\n   156→\t\t\treturn err\n   157→\t\t}\n   158→\n   159→\t\tcclog.Info(\"NATS API subscriptions started\")\n   160→\t}"}]},"uuid":"b7d5b7e0-2262-4044-bc46-42401d0d47b4","timestamp":"2026-03-16T10:55:10.203Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// natsMessage wraps a raw NATS message with its subject for channel-based processing.\ntype natsMessage struct {\n\tsubject string\n\tdata    []byte\n}\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobCh receives job event messages for processing by worker goroutines.\n\tjobCh chan natsMessage\n\t// nodeCh receives node state messages for processing by worker goroutines.\n\tnodeCh chan natsMessage\n}\n\n// NewNatsAPI creates a new NatsAPI instance with channel-based worker pools.\n// Concurrency is configured via NATSConfig (defaults: JobConcurrency=8, NodeConcurrency=2).\nfunc NewNatsAPI() *NatsAPI {\n\tjobConc := 8\n\tnodeConc := 2\n\n\tif s := config.Keys.APISubjects; s != nil {\n\t\tif s.JobConcurrency > 0 {\n\t\t\tjobConc = s.JobConcurrency\n\t\t}\n\t\tif s.NodeConcurrency > 0 {\n\t\t\tnodeConc = s.NodeConcurrency\n\t\t}\n\t}\n\n\tapi := &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobCh:         make(chan natsMessage, jobConc),\n\t\tnodeCh:        make(chan natsMessage, nodeConc),\n\t}\n\n\t// Start worker goroutines\n\tfor range jobConc {\n\t\tgo api.jobWorker()\n\t}\n\tfor range nodeConc {\n\t\tgo api.nodeWorker()\n\t}\n\n\treturn api\n}\n\n// jobWorker processes job event messages from the job channel.\nfunc (api *NatsAPI) jobWorker() {\n\tfor msg := range api.jobCh {\n\t\tapi.handleJobEvent(msg.subject, msg.data)\n\t}\n}\n\n// nodeWorker processes node state messages from the node channel.\nfunc (api *NatsAPI) nodeWorker() {\n\tfor msg := range api.nodeCh {\n\t\tapi.handleNodeState(msg.subject, msg.data)\n\t}\n}\n\n// subscribe registers a NATS subscription using queue groups when configured.\nfunc subscribe(client *nats.Client, subject string, queueGroup string, handler func(string, []byte)) error {\n\tif queueGroup != \"\" {\n\t\treturn client.SubscribeQueue(subject, queueGroup, handler)\n\t}\n\treturn client.Subscribe(subject, handler)\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Messages are delivered to buffered channels and processed by worker goroutines.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\t\ts := config.Keys.APISubjects\n\t\tqg := s.QueueGroup\n\n\t\tif err := subscribe(client, s.SubjectJobEvent, qg, func(subject string, data []byte) {\n\t\t\tapi.jobCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := subscribe(client, s.SubjectNodeState, qg, func(subject string, data []byte) {\n\t\t\tapi.nodeCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}","numLines":160,"startLine":1,"totalLines":468}},"sourceToolAssistantUUID":"1add6bd4-a28e-4f1a-8bda-a31d16108198","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package config implements the program configuration data structures, validation and parsing\npackage config\n\nimport (\n\t\"bytes\"\n\t\"encoding/json\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n)\n\ntype ProgramConfig struct {\n\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n\tAddr string `json:\"addr\"`\n\n\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n\n\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n\n\t// Drop root permissions once .env was read and the port was taken.\n\tUser  string `json:\"user\"`\n\tGroup string `json:\"group\"`\n\n\t// Disable authentication (for everything: API, Web-UI, ...)\n\tDisableAuthentication bool `json:\"disable-authentication\"`\n\n\t// If `embed-static-files` is true (default), the frontend files are directly\n\t// embeded into the go binary and expected to be in web/frontend. Only if\n\t// it is false the files in `static-files` are served instead.\n\tEmbedStaticFiles bool   `json:\"embed-static-files\"`\n\tStaticFiles      string `json:\"static-files\"`\n\n\t// Path to SQLite database file\n\tDB string `json:\"db\"`\n\n\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n\n\t// Validate json input against schema\n\tValidate bool `json:\"validate\"`\n\n\t// If 0 or empty, the session does not expire!\n\tSessionMaxAge string `json:\"session-max-age\"`\n\n\t// If both those options are not empty, use HTTPS using those certificates.\n\tHTTPSCertFile string `json:\"https-cert-file\"`\n\tHTTPSKeyFile  string `json:\"https-key-file\"`\n\n\t// If not the empty string and `addr` does not end in \":80\",\n\t// redirect every request incoming at port 80 to that url.\n\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n\n\t// Where to store MachineState files\n\tMachineStateDir string `json:\"machine-state-dir\"`\n\n\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n\n\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n\n\t// Energy Mix CO2 Emission Constant [g/kWh]\n\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n\tEmissionConstant int `json:\"emission-constant\"`\n\n\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n\tEnableResampling *ResampleConfig `json:\"resampling\"`\n\n\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n\tSystemdUnit string `json:\"systemd-unit\"`\n\n\t// Node state retention configuration\n\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n\n\t// Database tuning configuration\n\tDbConfig *DbConfig `json:\"db-config\"`\n}\n\ntype DbConfig struct {\n\tCacheSizeMB               int `json:\"cache-size-mb\"`\n\tSoftHeapLimitMB           int `json:\"soft-heap-limit-mb\"`\n\tMaxOpenConnections        int `json:\"max-open-connections\"`\n\tMaxIdleConnections        int `json:\"max-idle-connections\"`\n\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n\tBusyTimeoutMs             int `json:\"busy-timeout-ms\"`\n}\n\ntype NodeStateRetention struct {\n\tPolicy             string `json:\"policy\"`      // \"delete\" or \"move\"\n\tAge                int    `json:\"age\"`         // hours, default 24\n\tTargetKind         string `json:\"target-kind\"` // \"file\" or \"s3\"\n\tTargetPath         string `json:\"target-path\"`\n\tTargetEndpoint     string `json:\"target-endpoint\"`\n\tTargetBucket       string `json:\"target-bucket\"`\n\tTargetAccessKey    string `json:\"target-access-key\"`\n\tTargetSecretKey    string `json:\"target-secret-key\"`\n\tTargetRegion       string `json:\"target-region\"`\n\tTargetUsePathStyle bool   `json:\"target-use-path-style\"`\n\tMaxFileSizeMB      int    `json:\"max-file-size-mb\"`\n}\n\ntype ResampleConfig struct {\n\t// Minimum number of points to trigger resampling of data\n\tMinimumPoints int `json:\"minimum-points\"`\n\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n\tResolutions []int `json:\"resolutions\"`\n\t// Trigger next zoom level at less than this many visible datapoints\n\tTrigger int `json:\"trigger\"`\n}\n\ntype NATSConfig struct {\n\tSubjectJobEvent  string `json:\"subject-job-event\"`\n\tSubjectNodeState string `json:\"subject-node-state\"`\n\tQueueGroup       string `json:\"queue-group\"`\n\tJobConcurrency   int    `json:\"job-concurrency\"`\n\tNodeConcurrency  int    `json:\"node-concurrency\"`\n}\n\ntype IntRange struct {\n\tFrom int `json:\"from\"`\n\tTo   int `json:\"to\"`\n}\n\ntype TimeRange struct {\n\tFrom  *time.Time `json:\"from\"`\n\tTo    *time.Time `json:\"to\"`\n\tRange string     `json:\"range,omitempty\"`\n}\n\ntype FilterRanges struct {\n\tDuration  *IntRange  `json:\"duration\"`\n\tNumNodes  *IntRange  `json:\"num-nodes\"`\n\tStartTime *TimeRange `json:\"start-time\"`\n}\n\nvar Keys ProgramConfig = ProgramConfig{\n\tAddr:                      \"localhost:8080\",\n\tEmbedStaticFiles:          true,\n\tDB:                        \"./var/job.db\",\n\tSessionMaxAge:             \"168h\",\n\tStopJobsExceedingWalltime: 0,\n\tShortRunningJobsDuration:  5 * 60,\n}\n\nfunc Init(mainConfig json.RawMessage) {\n\tValidate(configSchema, mainConfig)\n\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&Keys); err != nil {\n\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n\t}\n\n\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n\t}\n}\n","structuredPatch":[{"oldStart":117,"oldLines":7,"newStart":117,"newLines":6,"lines":[" type NATSConfig struct {","   SubjectJobEvent  string `json:\"subject-job-event\"`","   SubjectNodeState string `json:\"subject-node-state\"`","-  QueueGroup       string `json:\"queue-group\"`","   JobConcurrency   int    `json:\"job-concurrency\"`","   NodeConcurrency  int    `json:\"node-concurrency\"`"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"de4cc0e6-9823-41dc-8d83-bada919e8dc6","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// natsMessage wraps a raw NATS message with its subject for channel-based processing.\ntype natsMessage struct {\n\tsubject string\n\tdata    []byte\n}\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobCh receives job event messages for processing by worker goroutines.\n\tjobCh chan natsMessage\n\t// nodeCh receives node state messages for processing by worker goroutines.\n\tnodeCh chan natsMessage\n}\n\n// NewNatsAPI creates a new NatsAPI instance with channel-based worker pools.\n// Concurrency is configured via NATSConfig (defaults: JobConcurrency=8, NodeConcurrency=2).\nfunc NewNatsAPI() *NatsAPI {\n\tjobConc := 8\n\tnodeConc := 2\n\n\tif s := config.Keys.APISubjects; s != nil {\n\t\tif s.JobConcurrency > 0 {\n\t\t\tjobConc = s.JobConcurrency\n\t\t}\n\t\tif s.NodeConcurrency > 0 {\n\t\t\tnodeConc = s.NodeConcurrency\n\t\t}\n\t}\n\n\tapi := &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobCh:         make(chan natsMessage, jobConc),\n\t\tnodeCh:        make(chan natsMessage, nodeConc),\n\t}\n\n\t// Start worker goroutines\n\tfor range jobConc {\n\t\tgo api.jobWorker()\n\t}\n\tfor range nodeConc {\n\t\tgo api.nodeWorker()\n\t}\n\n\treturn api\n}\n\n// jobWorker processes job event messages from the job channel.\nfunc (api *NatsAPI) jobWorker() {\n\tfor msg := range api.jobCh {\n\t\tapi.handleJobEvent(msg.subject, msg.data)\n\t}\n}\n\n// nodeWorker processes node state messages from the node channel.\nfunc (api *NatsAPI) nodeWorker() {\n\tfor msg := range api.nodeCh {\n\t\tapi.handleNodeState(msg.subject, msg.data)\n\t}\n}\n\n// subscribe registers a NATS subscription using queue groups when configured.\nfunc subscribe(client *nats.Client, subject string, queueGroup string, handler func(string, []byte)) error {\n\tif queueGroup != \"\" {\n\t\treturn client.SubscribeQueue(subject, queueGroup, handler)\n\t}\n\treturn client.Subscribe(subject, handler)\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Messages are delivered to buffered channels and processed by worker goroutines.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\t\ts := config.Keys.APISubjects\n\t\tqg := s.QueueGroup\n\n\t\tif err := subscribe(client, s.SubjectJobEvent, qg, func(subject string, data []byte) {\n\t\t\tapi.jobCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := subscribe(client, s.SubjectNodeState, qg, func(subject string, data []byte) {\n\t\t\tapi.nodeCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":122,"oldLines":14,"newStart":122,"newLines":6,"lines":["   }"," }"," ","-// subscribe registers a NATS subscription using queue groups when configured.","-func subscribe(client *nats.Client, subject string, queueGroup string, handler func(string, []byte)) error {","-  if queueGroup != \"\" {","-    return client.SubscribeQueue(subject, queueGroup, handler)","-  }","-  return client.Subscribe(subject, handler)","-}","-"," // StartSubscriptions registers all NATS subscriptions for Job and Node APIs."," // Messages are delivered to buffered channels and processed by worker goroutines."," // Returns an error if the NATS client is not available or subscription fails."]},{"oldStart":142,"oldLines":15,"newStart":134,"newLines":14,"lines":[" ","   if config.Keys.APISubjects != nil {","     s := config.Keys.APISubjects","-    qg := s.QueueGroup"," ","-    if err := subscribe(client, s.SubjectJobEvent, qg, func(subject string, data []byte) {","+    if err := client.Subscribe(s.SubjectJobEvent, func(subject string, data []byte) {","       api.jobCh <- natsMessage{subject: subject, data: data}","     }); err != nil {","       return err","     }"," ","-    if err := subscribe(client, s.SubjectNodeState, qg, func(subject string, data []byte) {","+    if err := client.Subscribe(s.SubjectNodeState, func(subject string, data []byte) {","       api.nodeCh <- natsMessage{subject: subject, data: data}","     }); err != nil {","       return err"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"fb007c06-205a-4491-a546-a72ff77aa5f8","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"}
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diff --git a/3a/40b75edd68/3/metadata.json b/3a/40b75edd68/3/metadata.json
new file mode 100644
index 00000000..23659732
--- /dev/null
+++ b/3a/40b75edd68/3/metadata.json
@@ -0,0 +1,34 @@
+{
+  "cli_version": "0.5.0",
+  "checkpoint_id": "3a40b75edd68",
+  "session_id": "d4fbf0d1-89b3-4ac5-85d3-56adb5d38709",
+  "strategy": "manual-commit",
+  "created_at": "2026-03-16T11:13:15.806159Z",
+  "branch": "hotfix",
+  "checkpoints_count": 2,
+  "files_touched": [
+    "internal/api/nats.go",
+    "internal/config/config.go"
+  ],
+  "agent": "Claude Code",
+  "turn_id": "c0f821b95a62",
+  "token_usage": {
+    "input_tokens": 21,
+    "cache_creation_tokens": 39022,
+    "cache_read_tokens": 735286,
+    "output_tokens": 6440,
+    "api_call_count": 17
+  },
+  "session_metrics": {
+    "turn_count": 2
+  },
+  "initial_attribution": {
+    "calculated_at": "2026-03-16T11:13:15.703018Z",
+    "agent_lines": 104,
+    "human_added": 24,
+    "human_modified": 0,
+    "human_removed": 0,
+    "total_committed": 128,
+    "agent_percentage": 81.25
+  }
+}
diff --git a/3a/40b75edd68/3/prompt.txt b/3a/40b75edd68/3/prompt.txt
new file mode 100644
index 00000000..1f14eec6
--- /dev/null
+++ b/3a/40b75edd68/3/prompt.txt
@@ -0,0 +1 @@
+Remove Queue group support again
\ No newline at end of file
diff --git a/3a/40b75edd68/metadata.json b/3a/40b75edd68/metadata.json
new file mode 100644
index 00000000..d4b77e9c
--- /dev/null
+++ b/3a/40b75edd68/metadata.json
@@ -0,0 +1,46 @@
+{
+  "cli_version": "0.5.0",
+  "checkpoint_id": "3a40b75edd68",
+  "strategy": "manual-commit",
+  "branch": "hotfix",
+  "checkpoints_count": 5,
+  "files_touched": [
+    "CLAUDE.md",
+    "internal/api/nats.go",
+    "internal/config/config.go",
+    "internal/config/schema.go"
+  ],
+  "sessions": [
+    {
+      "metadata": "/3a/40b75edd68/0/metadata.json",
+      "transcript": "/3a/40b75edd68/0/full.jsonl",
+      "content_hash": "/3a/40b75edd68/0/content_hash.txt",
+      "prompt": "/3a/40b75edd68/0/prompt.txt"
+    },
+    {
+      "metadata": "/3a/40b75edd68/1/metadata.json",
+      "transcript": "/3a/40b75edd68/1/full.jsonl",
+      "content_hash": "/3a/40b75edd68/1/content_hash.txt",
+      "prompt": "/3a/40b75edd68/1/prompt.txt"
+    },
+    {
+      "metadata": "/3a/40b75edd68/2/metadata.json",
+      "transcript": "/3a/40b75edd68/2/full.jsonl",
+      "content_hash": "/3a/40b75edd68/2/content_hash.txt",
+      "prompt": "/3a/40b75edd68/2/prompt.txt"
+    },
+    {
+      "metadata": "/3a/40b75edd68/3/metadata.json",
+      "transcript": "/3a/40b75edd68/3/full.jsonl",
+      "content_hash": "/3a/40b75edd68/3/content_hash.txt",
+      "prompt": "/3a/40b75edd68/3/prompt.txt"
+    }
+  ],
+  "token_usage": {
+    "input_tokens": 3124,
+    "cache_creation_tokens": 226039,
+    "cache_read_tokens": 6243570,
+    "output_tokens": 31500,
+    "api_call_count": 87
+  }
+}
diff --git a/4a/675b8352a2/0/content_hash.txt b/4a/675b8352a2/0/content_hash.txt
new file mode 100644
index 00000000..d8b23e5a
--- /dev/null
+++ b/4a/675b8352a2/0/content_hash.txt
@@ -0,0 +1 @@
+sha256:845109d4cb30fba60756c58e6a29176c1ba31c59551025ef12f38bcebe20c68a
\ No newline at end of file
diff --git a/4a/675b8352a2/0/context.md b/4a/675b8352a2/0/context.md
new file mode 100644
index 00000000..c21922a0
--- /dev/null
+++ b/4a/675b8352a2/0/context.md
@@ -0,0 +1,26 @@
+# Session Context
+
+## User Prompts
+
+### Prompt 1
+
+Implement the following plan:
+
+# Fix: Memory Escalation in flattenCheckpointFile (68GB+)
+
+## Context
+
+Production gops shows `flattenCheckpointFile` allocating 68GB+ (74.89% of memory). The archiving pipeline accumulates ALL metric data from ALL hosts into a single `[]ParquetMetricRow` slice before writing to Parquet. For large HPC clusters this is catastrophic. Additionally, the `SortingWriterConfig` in the parquet writer buffers everything again internally.
+
+## Root Cause
+
+Two-layer unbounde...
+
+### Prompt 2
+
+Are the any other cases with memory spikes using the Parquet Writer, e.g. in the nodestate retention?
+
+### Prompt 3
+
+[Request interrupted by user for tool use]
+
diff --git a/4a/675b8352a2/0/full.jsonl b/4a/675b8352a2/0/full.jsonl
new file mode 100644
index 00000000..51952af4
--- /dev/null
+++ b/4a/675b8352a2/0/full.jsonl
@@ -0,0 +1,124 @@
+{"type":"file-history-snapshot","messageId":"b533e922-ca3a-46ea-b62d-b0ee4ca0d906","snapshot":{"messageId":"b533e922-ca3a-46ea-b62d-b0ee4ca0d906","trackedFileBackups":{},"timestamp":"2026-03-17T18:14:06.692Z"},"isSnapshotUpdate":false}
+{"parentUuid":null,"isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"d78d8e9c-5382-4185-9219-683f79dd3065","toolUseID":"d78d8e9c-5382-4185-9219-683f79dd3065","timestamp":"2026-03-17T18:14:06.646Z","uuid":"1ccea021-492e-4f7f-8ce8-eb5cd2377954","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
+{"parentUuid":"1ccea021-492e-4f7f-8ce8-eb5cd2377954","isSidechain":false,"promptId":"9e69bd94-834f-43c2-9173-add782b0f1d4","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Fix: Memory Escalation in flattenCheckpointFile (68GB+)\n\n## Context\n\nProduction gops shows `flattenCheckpointFile` allocating 68GB+ (74.89% of memory). The archiving pipeline accumulates ALL metric data from ALL hosts into a single `[]ParquetMetricRow` slice before writing to Parquet. For large HPC clusters this is catastrophic. Additionally, the `SortingWriterConfig` in the parquet writer buffers everything again internally.\n\n## Root Cause\n\nTwo-layer unbounded accumulation:\n\n1. **`archive.go:239-242`**: `allRows = append(allRows, r.rows...)` merges every host's rows into one giant slice\n2. **`parquetArchive.go:108-116`**: `SortingWriterConfig` creates a sorting writer that buffers ALL rows until `Close()`\n3. **`parquetArchive.go:199`**: `var rows []ParquetMetricRow` starts at zero capacity, grows via append doubling\n\nPeak memory = (all hosts' rows) + (sorting writer copy) + (append overhead) = ~3x raw data size.\n\n## Fix: Stream per-host to parquet writer\n\nInstead of accumulating all rows, write each host's data as a separate row group.\n\n### Step 1: Add streaming parquet writer (`parquetArchive.go`)\n\nReplace `writeParquetArchive(filename, rows)` with a struct that supports incremental writes:\n\n```go\ntype parquetArchiveWriter struct {\n    writer *pq.GenericWriter[ParquetMetricRow]\n    bw     *bufio.Writer\n    f      *os.File\n    count  int\n}\n\nfunc newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error)\nfunc (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error  // Write + Flush (creates row group)\nfunc (w *parquetArchiveWriter) Close() error\n```\n\n- **Remove `SortingWriterConfig`** - no global sort buffer\n- Sort each host's rows in-place with `sort.Slice` before writing (cheap: single host data)\n- Each `Flush()` creates a separate row group per host\n\n### Step 2: Add row count estimation (`parquetArchive.go`)\n\n```go\nfunc estimateRowCount(cf *CheckpointFile) int\n```\n\nPre-allocate `rows` slice in `archiveCheckpointsToParquet` to avoid append doubling per host.\n\n### Step 3: Restructure `archiveCheckpoints` (`archive.go`)\n\nChange from:\n```\nworkers → channel → accumulate allRows → writeParquetArchive(allRows)\n```\n\nTo:\n```\nopen writer → workers → channel → for each host: sort rows, writer.WriteHostRows(rows) → close writer\n```\n\n- Only one host's rows in memory at a time\n- Track `files`/`dir` for deletion separately (don't retain rows)\n- Check `writer.count > 0` instead of `len(allRows) == 0`\n\n### Step 4: Update test (`parquetArchive_test.go`)\n\n- `TestParquetArchiveRoundtrip`: use new streaming writer API\n- Keep `archiveCheckpointsToParquet` returning rows (it's per-host, manageable size)\n\n## Files to Modify\n\n- **`pkg/metricstore/parquetArchive.go`**: Add `parquetArchiveWriter`, `estimateRowCount`; remove `writeParquetArchive`; add `\"sort\"` import\n- **`pkg/metricstore/archive.go`**: Restructure `archiveCheckpoints` to stream\n- **`pkg/metricstore/parquetArchive_test.go`**: Update roundtrip test\n\n## Memory Impact\n\n- **Before**: All hosts in memory (~40GB for 256 nodes) + sorting buffer (~40GB) = 68GB+\n- **After**: One host at a time (~16MB) + parquet page buffer (~1MB) = ~17MB peak\n\n## Sorting Tradeoff\n\nThe output changes from one globally-sorted row group to N row groups (one per host), each internally sorted by (metric, timestamp). This is actually better for ClusterCockpit's per-host query patterns (enables row group skipping).\n\n## Verification\n\n```bash\ngo test -v ./pkg/metricstore/...\n```\n\nAlso verify with `go vet ./pkg/metricstore/...` for correctness.\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-CC-cc-backend/71340843-de3d-4e83-9dcb-2fc130c50e0d.jsonl"},"uuid":"b533e922-ca3a-46ea-b62d-b0ee4ca0d906","timestamp":"2026-03-17T18:14:06.473Z","planContent":"# Fix: Memory Escalation in flattenCheckpointFile (68GB+)\n\n## Context\n\nProduction gops shows `flattenCheckpointFile` allocating 68GB+ (74.89% of memory). The archiving pipeline accumulates ALL metric data from ALL hosts into a single `[]ParquetMetricRow` slice before writing to Parquet. For large HPC clusters this is catastrophic. Additionally, the `SortingWriterConfig` in the parquet writer buffers everything again internally.\n\n## Root Cause\n\nTwo-layer unbounded accumulation:\n\n1. **`archive.go:239-242`**: `allRows = append(allRows, r.rows...)` merges every host's rows into one giant slice\n2. **`parquetArchive.go:108-116`**: `SortingWriterConfig` creates a sorting writer that buffers ALL rows until `Close()`\n3. **`parquetArchive.go:199`**: `var rows []ParquetMetricRow` starts at zero capacity, grows via append doubling\n\nPeak memory = (all hosts' rows) + (sorting writer copy) + (append overhead) = ~3x raw data size.\n\n## Fix: Stream per-host to parquet writer\n\nInstead of accumulating all rows, write each host's data as a separate row group.\n\n### Step 1: Add streaming parquet writer (`parquetArchive.go`)\n\nReplace `writeParquetArchive(filename, rows)` with a struct that supports incremental writes:\n\n```go\ntype parquetArchiveWriter struct {\n    writer *pq.GenericWriter[ParquetMetricRow]\n    bw     *bufio.Writer\n    f      *os.File\n    count  int\n}\n\nfunc newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error)\nfunc (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error  // Write + Flush (creates row group)\nfunc (w *parquetArchiveWriter) Close() error\n```\n\n- **Remove `SortingWriterConfig`** - no global sort buffer\n- Sort each host's rows in-place with `sort.Slice` before writing (cheap: single host data)\n- Each `Flush()` creates a separate row group per host\n\n### Step 2: Add row count estimation (`parquetArchive.go`)\n\n```go\nfunc estimateRowCount(cf *CheckpointFile) int\n```\n\nPre-allocate `rows` slice in `archiveCheckpointsToParquet` to avoid append doubling per host.\n\n### Step 3: Restructure `archiveCheckpoints` (`archive.go`)\n\nChange from:\n```\nworkers → channel → accumulate allRows → writeParquetArchive(allRows)\n```\n\nTo:\n```\nopen writer → workers → channel → for each host: sort rows, writer.WriteHostRows(rows) → close writer\n```\n\n- Only one host's rows in memory at a time\n- Track `files`/`dir` for deletion separately (don't retain rows)\n- Check `writer.count > 0` instead of `len(allRows) == 0`\n\n### Step 4: Update test (`parquetArchive_test.go`)\n\n- `TestParquetArchiveRoundtrip`: use new streaming writer API\n- Keep `archiveCheckpointsToParquet` returning rows (it's per-host, manageable size)\n\n## Files to Modify\n\n- **`pkg/metricstore/parquetArchive.go`**: Add `parquetArchiveWriter`, `estimateRowCount`; remove `writeParquetArchive`; add `\"sort\"` import\n- **`pkg/metricstore/archive.go`**: Restructure `archiveCheckpoints` to stream\n- **`pkg/metricstore/parquetArchive_test.go`**: Update roundtrip test\n\n## Memory Impact\n\n- **Before**: All hosts in memory (~40GB for 256 nodes) + sorting buffer (~40GB) = 68GB+\n- **After**: One host at a time (~16MB) + parquet page buffer (~1MB) = ~17MB peak\n\n## Sorting Tradeoff\n\nThe output changes from one globally-sorted row group to N row groups (one per host), each internally sorted by (metric, timestamp). This is actually better for ClusterCockpit's per-host query patterns (enables row group skipping).\n\n## Verification\n\n```bash\ngo test -v ./pkg/metricstore/...\n```\n\nAlso verify with `go vet ./pkg/metricstore/...` for correctness.\n","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"8c2533e3-d964-4a82-9cba-cec560086bc5","isSidechain":false,"promptId":"9e69bd94-834f-43c2-9173-add782b0f1d4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JW7rVTjQ4z7YAw3jsNrSDY","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package metricstore\n     7→\n     8→import (\n     9→\t\"bufio\"\n    10→\t\"encoding/binary\"\n    11→\t\"encoding/json\"\n    12→\t\"fmt\"\n    13→\t\"os\"\n    14→\t\"path/filepath\"\n    15→\n    16→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    17→\tpq \"github.com/parquet-go/parquet-go\"\n    18→)\n    19→\n    20→// ParquetMetricRow is the long-format schema for archived metric data.\n    21→// One row per (host, metric, scope, scope_id, timestamp) data point.\n    22→// Sorted by (cluster, hostname, metric, timestamp) for optimal compression.\n    23→type ParquetMetricRow struct {\n    24→\tCluster   string  `parquet:\"cluster\"`\n    25→\tHostname  string  `parquet:\"hostname\"`\n    26→\tMetric    string  `parquet:\"metric\"`\n    27→\tScope     string  `parquet:\"scope\"`\n    28→\tScopeID   string  `parquet:\"scope_id\"`\n    29→\tTimestamp int64   `parquet:\"timestamp\"`\n    30→\tFrequency int64   `parquet:\"frequency\"`\n    31→\tValue     float32 `parquet:\"value\"`\n    32→}\n    33→\n    34→// flattenCheckpointFile recursively converts a CheckpointFile tree into Parquet rows.\n    35→// The scope path is built from the hierarchy: host level is \"node\", then child names\n    36→// map to scope/scope_id (e.g., \"socket0\" → scope=\"socket\", scope_id=\"0\").\n    37→func flattenCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string, rows []ParquetMetricRow) []ParquetMetricRow {\n    38→\tfor metricName, cm := range cf.Metrics {\n    39→\t\tts := cm.Start\n    40→\t\tfor _, v := range cm.Data {\n    41→\t\t\tif !v.IsNaN() {\n    42→\t\t\t\trows = append(rows, ParquetMetricRow{\n    43→\t\t\t\t\tCluster:   cluster,\n    44→\t\t\t\t\tHostname:  hostname,\n    45→\t\t\t\t\tMetric:    metricName,\n    46→\t\t\t\t\tScope:     scope,\n    47→\t\t\t\t\tScopeID:   scopeID,\n    48→\t\t\t\t\tTimestamp: ts,\n    49→\t\t\t\t\tFrequency: cm.Frequency,\n    50→\t\t\t\t\tValue:     float32(v),\n    51→\t\t\t\t})\n    52→\t\t\t}\n    53→\t\t\tts += cm.Frequency\n    54→\t\t}\n    55→\t}\n    56→\n    57→\tfor childName, childCf := range cf.Children {\n    58→\t\tchildScope, childScopeID := parseScopeFromName(childName)\n    59→\t\trows = flattenCheckpointFile(childCf, cluster, hostname, childScope, childScopeID, rows)\n    60→\t}\n    61→\n    62→\treturn rows\n    63→}\n    64→\n    65→// parseScopeFromName infers scope and scope_id from a child level name.\n    66→// Examples: \"socket0\" → (\"socket\", \"0\"), \"core12\" → (\"core\", \"12\"),\n    67→// \"a0\" (accelerator) → (\"accelerator\", \"0\").\n    68→// If the name doesn't match known patterns, it's used as-is for scope with empty scope_id.\n    69→func parseScopeFromName(name string) (string, string) {\n    70→\tprefixes := []struct {\n    71→\t\tprefix string\n    72→\t\tscope  string\n    73→\t}{\n    74→\t\t{\"socket\", \"socket\"},\n    75→\t\t{\"memoryDomain\", \"memoryDomain\"},\n    76→\t\t{\"core\", \"core\"},\n    77→\t\t{\"hwthread\", \"hwthread\"},\n    78→\t\t{\"cpu\", \"hwthread\"},\n    79→\t\t{\"accelerator\", \"accelerator\"},\n    80→\t}\n    81→\n    82→\tfor _, p := range prefixes {\n    83→\t\tif len(name) > len(p.prefix) && name[:len(p.prefix)] == p.prefix {\n    84→\t\t\tid := name[len(p.prefix):]\n    85→\t\t\tif len(id) > 0 && id[0] >= '0' && id[0] <= '9' {\n    86→\t\t\t\treturn p.scope, id\n    87→\t\t\t}\n    88→\t\t}\n    89→\t}\n    90→\n    91→\treturn name, \"\"\n    92→}\n    93→\n    94→// writeParquetArchive writes rows to a Parquet file with Zstd compression.\n    95→func writeParquetArchive(filename string, rows []ParquetMetricRow) error {\n    96→\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n    97→\t\treturn fmt.Errorf(\"creating archive directory: %w\", err)\n    98→\t}\n    99→\n   100→\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n   101→\tif err != nil {\n   102→\t\treturn fmt.Errorf(\"creating parquet file: %w\", err)\n   103→\t}\n   104→\tdefer f.Close()\n   105→\n   106→\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n   107→\n   108→\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n   109→\t\tpq.Compression(&pq.Zstd),\n   110→\t\tpq.SortingWriterConfig(pq.SortingColumns(\n   111→\t\t\tpq.Ascending(\"cluster\"),\n   112→\t\t\tpq.Ascending(\"hostname\"),\n   113→\t\t\tpq.Ascending(\"metric\"),\n   114→\t\t\tpq.Ascending(\"timestamp\"),\n   115→\t\t)),\n   116→\t)\n   117→\n   118→\tif _, err := writer.Write(rows); err != nil {\n   119→\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n   120→\t}\n   121→\n   122→\tif err := writer.Close(); err != nil {\n   123→\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n   124→\t}\n   125→\n   126→\tif err := bw.Flush(); err != nil {\n   127→\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n   128→\t}\n   129→\n   130→\treturn nil\n   131→}\n   132→\n   133→// loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns\n   134→// a CheckpointFile. Used by the Parquet archiver to read checkpoint data\n   135→// before converting it to Parquet format.\n   136→func loadCheckpointFileFromDisk(filename string) (*CheckpointFile, error) {\n   137→\tf, err := os.Open(filename)\n   138→\tif err != nil {\n   139→\t\treturn nil, err\n   140→\t}\n   141→\tdefer f.Close()\n   142→\n   143→\text := filepath.Ext(filename)\n   144→\tswitch ext {\n   145→\tcase \".json\":\n   146→\t\tcf := &CheckpointFile{}\n   147→\t\tbr := bufio.NewReader(f)\n   148→\t\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n   149→\t\t\treturn nil, fmt.Errorf(\"decoding JSON checkpoint %s: %w\", filename, err)\n   150→\t\t}\n   151→\t\treturn cf, nil\n   152→\n   153→\tcase \".bin\":\n   154→\t\tbr := bufio.NewReader(f)\n   155→\t\tvar magic uint32\n   156→\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n   157→\t\t\treturn nil, fmt.Errorf(\"reading magic from %s: %w\", filename, err)\n   158→\t\t}\n   159→\t\tif magic != snapFileMagic {\n   160→\t\t\treturn nil, fmt.Errorf(\"invalid snapshot magic in %s: 0x%08X\", filename, magic)\n   161→\t\t}\n   162→\t\tvar fileFrom, fileTo int64\n   163→\t\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n   164→\t\t\treturn nil, fmt.Errorf(\"reading from-timestamp from %s: %w\", filename, err)\n   165→\t\t}\n   166→\t\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n   167→\t\t\treturn nil, fmt.Errorf(\"reading to-timestamp from %s: %w\", filename, err)\n   168→\t\t}\n   169→\t\tcf, err := readBinaryLevel(br)\n   170→\t\tif err != nil {\n   171→\t\t\treturn nil, fmt.Errorf(\"reading binary level from %s: %w\", filename, err)\n   172→\t\t}\n   173→\t\tcf.From = fileFrom\n   174→\t\tcf.To = fileTo\n   175→\t\treturn cf, nil\n   176→\n   177→\tdefault:\n   178→\t\treturn nil, fmt.Errorf(\"unsupported checkpoint extension: %s\", ext)\n   179→\t}\n   180→}\n   181→\n   182→// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n   183→// converts them to Parquet rows. Returns the rows and filenames that were processed.\n   184→func archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n   185→\tentries, err := os.ReadDir(dir)\n   186→\tif err != nil {\n   187→\t\treturn nil, nil, err\n   188→\t}\n   189→\n   190→\tfiles, err := findFiles(entries, from, false)\n   191→\tif err != nil {\n   192→\t\treturn nil, nil, err\n   193→\t}\n   194→\n   195→\tif len(files) == 0 {\n   196→\t\treturn nil, nil, nil\n   197→\t}\n   198→\n   199→\tvar rows []ParquetMetricRow\n   200→\n   201→\tfor _, checkpoint := range files {\n   202→\t\tfilename := filepath.Join(dir, checkpoint)\n   203→\t\tcf, err := loadCheckpointFileFromDisk(filename)\n   204→\t\tif err != nil {\n   205→\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n   206→\t\t\tcontinue\n   207→\t\t}\n   208→\n   209→\t\trows = flattenCheckpointFile(cf, cluster, host, \"node\", \"\", rows)\n   210→\t}\n   211→\n   212→\treturn rows, files, nil\n   213→}\n   214→"}]},"uuid":"7b2d9ff8-b786-4c43-aceb-98f92f903d5c","timestamp":"2026-03-17T18:14:10.793Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"encoding/binary\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\n// ParquetMetricRow is the long-format schema for archived metric data.\n// One row per (host, metric, scope, scope_id, timestamp) data point.\n// Sorted by (cluster, hostname, metric, timestamp) for optimal compression.\ntype ParquetMetricRow struct {\n\tCluster   string  `parquet:\"cluster\"`\n\tHostname  string  `parquet:\"hostname\"`\n\tMetric    string  `parquet:\"metric\"`\n\tScope     string  `parquet:\"scope\"`\n\tScopeID   string  `parquet:\"scope_id\"`\n\tTimestamp int64   `parquet:\"timestamp\"`\n\tFrequency int64   `parquet:\"frequency\"`\n\tValue     float32 `parquet:\"value\"`\n}\n\n// flattenCheckpointFile recursively converts a CheckpointFile tree into Parquet rows.\n// The scope path is built from the hierarchy: host level is \"node\", then child names\n// map to scope/scope_id (e.g., \"socket0\" → scope=\"socket\", scope_id=\"0\").\nfunc flattenCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string, rows []ParquetMetricRow) []ParquetMetricRow {\n\tfor metricName, cm := range cf.Metrics {\n\t\tts := cm.Start\n\t\tfor _, v := range cm.Data {\n\t\t\tif !v.IsNaN() {\n\t\t\t\trows = append(rows, ParquetMetricRow{\n\t\t\t\t\tCluster:   cluster,\n\t\t\t\t\tHostname:  hostname,\n\t\t\t\t\tMetric:    metricName,\n\t\t\t\t\tScope:     scope,\n\t\t\t\t\tScopeID:   scopeID,\n\t\t\t\t\tTimestamp: ts,\n\t\t\t\t\tFrequency: cm.Frequency,\n\t\t\t\t\tValue:     float32(v),\n\t\t\t\t})\n\t\t\t}\n\t\t\tts += cm.Frequency\n\t\t}\n\t}\n\n\tfor childName, childCf := range cf.Children {\n\t\tchildScope, childScopeID := parseScopeFromName(childName)\n\t\trows = flattenCheckpointFile(childCf, cluster, hostname, childScope, childScopeID, rows)\n\t}\n\n\treturn rows\n}\n\n// parseScopeFromName infers scope and scope_id from a child level name.\n// Examples: \"socket0\" → (\"socket\", \"0\"), \"core12\" → (\"core\", \"12\"),\n// \"a0\" (accelerator) → (\"accelerator\", \"0\").\n// If the name doesn't match known patterns, it's used as-is for scope with empty scope_id.\nfunc parseScopeFromName(name string) (string, string) {\n\tprefixes := []struct {\n\t\tprefix string\n\t\tscope  string\n\t}{\n\t\t{\"socket\", \"socket\"},\n\t\t{\"memoryDomain\", \"memoryDomain\"},\n\t\t{\"core\", \"core\"},\n\t\t{\"hwthread\", \"hwthread\"},\n\t\t{\"cpu\", \"hwthread\"},\n\t\t{\"accelerator\", \"accelerator\"},\n\t}\n\n\tfor _, p := range prefixes {\n\t\tif len(name) > len(p.prefix) && name[:len(p.prefix)] == p.prefix {\n\t\t\tid := name[len(p.prefix):]\n\t\t\tif len(id) > 0 && id[0] >= '0' && id[0] <= '9' {\n\t\t\t\treturn p.scope, id\n\t\t\t}\n\t\t}\n\t}\n\n\treturn name, \"\"\n}\n\n// writeParquetArchive writes rows to a Parquet file with Zstd compression.\nfunc writeParquetArchive(filename string, rows []ParquetMetricRow) error {\n\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"creating archive directory: %w\", err)\n\t}\n\n\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"creating parquet file: %w\", err)\n\t}\n\tdefer f.Close()\n\n\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n\n\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n\t\tpq.Compression(&pq.Zstd),\n\t\tpq.SortingWriterConfig(pq.SortingColumns(\n\t\t\tpq.Ascending(\"cluster\"),\n\t\t\tpq.Ascending(\"hostname\"),\n\t\t\tpq.Ascending(\"metric\"),\n\t\t\tpq.Ascending(\"timestamp\"),\n\t\t)),\n\t)\n\n\tif _, err := writer.Write(rows); err != nil {\n\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n\t}\n\n\tif err := writer.Close(); err != nil {\n\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n\t}\n\n\tif err := bw.Flush(); err != nil {\n\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n\t}\n\n\treturn nil\n}\n\n// loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns\n// a CheckpointFile. Used by the Parquet archiver to read checkpoint data\n// before converting it to Parquet format.\nfunc loadCheckpointFileFromDisk(filename string) (*CheckpointFile, error) {\n\tf, err := os.Open(filename)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer f.Close()\n\n\text := filepath.Ext(filename)\n\tswitch ext {\n\tcase \".json\":\n\t\tcf := &CheckpointFile{}\n\t\tbr := bufio.NewReader(f)\n\t\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"decoding JSON checkpoint %s: %w\", filename, err)\n\t\t}\n\t\treturn cf, nil\n\n\tcase \".bin\":\n\t\tbr := bufio.NewReader(f)\n\t\tvar magic uint32\n\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading magic from %s: %w\", filename, err)\n\t\t}\n\t\tif magic != snapFileMagic {\n\t\t\treturn nil, fmt.Errorf(\"invalid snapshot magic in %s: 0x%08X\", filename, magic)\n\t\t}\n\t\tvar fileFrom, fileTo int64\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading from-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading to-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tcf, err := readBinaryLevel(br)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading binary level from %s: %w\", filename, err)\n\t\t}\n\t\tcf.From = fileFrom\n\t\tcf.To = fileTo\n\t\treturn cf, nil\n\n\tdefault:\n\t\treturn nil, fmt.Errorf(\"unsupported checkpoint extension: %s\", ext)\n\t}\n}\n\n// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n// converts them to Parquet rows. Returns the rows and filenames that were processed.\nfunc archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n\tentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tfiles, err := findFiles(entries, from, false)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tif len(files) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\tvar rows []ParquetMetricRow\n\n\tfor _, checkpoint := range files {\n\t\tfilename := filepath.Join(dir, checkpoint)\n\t\tcf, err := loadCheckpointFileFromDisk(filename)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n\t\t\tcontinue\n\t\t}\n\n\t\trows = flattenCheckpointFile(cf, cluster, host, \"node\", \"\", rows)\n\t}\n\n\treturn rows, files, nil\n}\n","numLines":214,"startLine":1,"totalLines":214}},"sourceToolAssistantUUID":"8c2533e3-d964-4a82-9cba-cec560086bc5","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
+{"parentUuid":"7b2d9ff8-b786-4c43-aceb-98f92f903d5c","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01TTkqqEZu8i9v4aSq57ZyF8","toolUseID":"toolu_01TTkqqEZu8i9v4aSq57ZyF8","timestamp":"2026-03-17T18:14:10.792Z","uuid":"237be391-9ce8-4868-88ec-2ffeaa23653f","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
+{"parentUuid":"4704a1bc-5253-41ee-b057-59f5c34430a8","isSidechain":false,"promptId":"9e69bd94-834f-43c2-9173-add782b0f1d4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TTkqqEZu8i9v4aSq57ZyF8","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package metricstore\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"errors\"\n    11→\t\"fmt\"\n    12→\t\"os\"\n    13→\t\"path/filepath\"\n    14→\t\"sync\"\n    15→\t\"sync/atomic\"\n    16→\t\"time\"\n    17→\n    18→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    19→)\n    20→\n    21→// Worker for either Archiving or Deleting files\n    22→\n    23→func CleanUp(wg *sync.WaitGroup, ctx context.Context) {\n    24→\tif Keys.Cleanup.Mode == \"archive\" {\n    25→\t\t// Run as Archiver\n    26→\t\tcleanUpWorker(wg, ctx,\n    27→\t\t\tKeys.RetentionInMemory,\n    28→\t\t\t\"archiving\",\n    29→\t\t\tKeys.Cleanup.RootDir,\n    30→\t\t\tfalse,\n    31→\t\t)\n    32→\t} else {\n    33→\t\t// Run as Deleter\n    34→\t\tcleanUpWorker(wg, ctx,\n    35→\t\t\tKeys.RetentionInMemory,\n    36→\t\t\t\"deleting\",\n    37→\t\t\t\"\",\n    38→\t\t\ttrue,\n    39→\t\t)\n    40→\t}\n    41→}\n    42→\n    43→// cleanUpWorker takes simple values to configure what it does\n    44→func cleanUpWorker(wg *sync.WaitGroup, ctx context.Context, interval string, mode string, cleanupDir string, delete bool) {\n    45→\twg.Go(func() {\n    46→\n    47→\t\td, err := time.ParseDuration(interval)\n    48→\t\tif err != nil {\n    49→\t\t\tcclog.Fatalf(\"[METRICSTORE]> error parsing %s interval duration: %v\\n\", mode, err)\n    50→\t\t}\n    51→\t\tif d <= 0 {\n    52→\t\t\treturn\n    53→\t\t}\n    54→\n    55→\t\tticker := time.NewTicker(d)\n    56→\t\tdefer ticker.Stop()\n    57→\n    58→\t\tfor {\n    59→\t\t\tselect {\n    60→\t\t\tcase <-ctx.Done():\n    61→\t\t\t\treturn\n    62→\t\t\tcase <-ticker.C:\n    63→\t\t\t\tt := time.Now().Add(-d)\n    64→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start %s checkpoints (older than %s)...\", mode, t.Format(time.RFC3339))\n    65→\n    66→\t\t\t\tn, err := CleanupCheckpoints(Keys.Checkpoints.RootDir, cleanupDir, t.Unix(), delete)\n    67→\n    68→\t\t\t\tif err != nil {\n    69→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> %s failed: %s\", mode, err.Error())\n    70→\t\t\t\t} else {\n    71→\t\t\t\t\tif delete {\n    72→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoints deleted\", n)\n    73→\t\t\t\t\t} else {\n    74→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files archived to parquet\", n)\n    75→\t\t\t\t\t}\n    76→\t\t\t\t}\n    77→\t\t\t}\n    78→\t\t}\n    79→\t})\n    80→}\n    81→\n    82→var ErrNoNewArchiveData error = errors.New(\"all data already archived\")\n    83→\n    84→// CleanupCheckpoints deletes or archives all checkpoint files older than `from`.\n    85→// When archiving, consolidates all hosts per cluster into a single Parquet file.\n    86→func CleanupCheckpoints(checkpointsDir, cleanupDir string, from int64, deleteInstead bool) (int, error) {\n    87→\tif deleteInstead {\n    88→\t\treturn deleteCheckpoints(checkpointsDir, from)\n    89→\t}\n    90→\n    91→\treturn archiveCheckpoints(checkpointsDir, cleanupDir, from)\n    92→}\n    93→\n    94→// deleteCheckpoints removes checkpoint files older than `from` across all clusters/hosts.\n    95→func deleteCheckpoints(checkpointsDir string, from int64) (int, error) {\n    96→\tentries1, err := os.ReadDir(checkpointsDir)\n    97→\tif err != nil {\n    98→\t\treturn 0, err\n    99→\t}\n   100→\n   101→\ttype workItem struct {\n   102→\t\tdir            string\n   103→\t\tcluster, host  string\n   104→\t}\n   105→\n   106→\tvar wg sync.WaitGroup\n   107→\tn, errs := int32(0), int32(0)\n   108→\twork := make(chan workItem, Keys.NumWorkers)\n   109→\n   110→\twg.Add(Keys.NumWorkers)\n   111→\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n   112→\t\tgo func() {\n   113→\t\t\tdefer wg.Done()\n   114→\t\t\tfor item := range work {\n   115→\t\t\t\tentries, err := os.ReadDir(item.dir)\n   116→\t\t\t\tif err != nil {\n   117→\t\t\t\t\tcclog.Errorf(\"error reading %s/%s: %s\", item.cluster, item.host, err.Error())\n   118→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   119→\t\t\t\t\tcontinue\n   120→\t\t\t\t}\n   121→\n   122→\t\t\t\tfiles, err := findFiles(entries, from, false)\n   123→\t\t\t\tif err != nil {\n   124→\t\t\t\t\tcclog.Errorf(\"error finding files in %s/%s: %s\", item.cluster, item.host, err.Error())\n   125→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   126→\t\t\t\t\tcontinue\n   127→\t\t\t\t}\n   128→\n   129→\t\t\t\tfor _, checkpoint := range files {\n   130→\t\t\t\t\tif err := os.Remove(filepath.Join(item.dir, checkpoint)); err != nil {\n   131→\t\t\t\t\t\tcclog.Errorf(\"error deleting %s/%s/%s: %s\", item.cluster, item.host, checkpoint, err.Error())\n   132→\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   133→\t\t\t\t\t} else {\n   134→\t\t\t\t\t\tatomic.AddInt32(&n, 1)\n   135→\t\t\t\t\t}\n   136→\t\t\t\t}\n   137→\t\t\t}\n   138→\t\t}()\n   139→\t}\n   140→\n   141→\tfor _, de1 := range entries1 {\n   142→\t\tentries2, e := os.ReadDir(filepath.Join(checkpointsDir, de1.Name()))\n   143→\t\tif e != nil {\n   144→\t\t\terr = e\n   145→\t\t\tcontinue\n   146→\t\t}\n   147→\n   148→\t\tfor _, de2 := range entries2 {\n   149→\t\t\twork <- workItem{\n   150→\t\t\t\tdir:     filepath.Join(checkpointsDir, de1.Name(), de2.Name()),\n   151→\t\t\t\tcluster: de1.Name(),\n   152→\t\t\t\thost:    de2.Name(),\n   153→\t\t\t}\n   154→\t\t}\n   155→\t}\n   156→\n   157→\tclose(work)\n   158→\twg.Wait()\n   159→\n   160→\tif err != nil {\n   161→\t\treturn int(n), err\n   162→\t}\n   163→\tif errs > 0 {\n   164→\t\treturn int(n), fmt.Errorf(\"%d errors happened while deleting (%d successes)\", errs, n)\n   165→\t}\n   166→\treturn int(n), nil\n   167→}\n   168→\n   169→// archiveCheckpoints archives checkpoint files to Parquet format.\n   170→// Produces one Parquet file per cluster: <cleanupDir>/<cluster>/<timestamp>.parquet\n   171→func archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n   172→\tclusterEntries, err := os.ReadDir(checkpointsDir)\n   173→\tif err != nil {\n   174→\t\treturn 0, err\n   175→\t}\n   176→\n   177→\ttotalFiles := 0\n   178→\n   179→\tfor _, clusterEntry := range clusterEntries {\n   180→\t\tif !clusterEntry.IsDir() {\n   181→\t\t\tcontinue\n   182→\t\t}\n   183→\n   184→\t\tcluster := clusterEntry.Name()\n   185→\t\thostEntries, err := os.ReadDir(filepath.Join(checkpointsDir, cluster))\n   186→\t\tif err != nil {\n   187→\t\t\treturn totalFiles, err\n   188→\t\t}\n   189→\n   190→\t\t// Collect rows from all hosts in this cluster using worker pool\n   191→\t\ttype hostResult struct {\n   192→\t\t\trows  []ParquetMetricRow\n   193→\t\t\tfiles []string // checkpoint filenames to delete after successful write\n   194→\t\t\tdir   string   // checkpoint directory for this host\n   195→\t\t}\n   196→\n   197→\t\tresults := make(chan hostResult, len(hostEntries))\n   198→\t\twork := make(chan struct {\n   199→\t\t\tdir, host string\n   200→\t\t}, Keys.NumWorkers)\n   201→\n   202→\t\tvar wg sync.WaitGroup\n   203→\t\terrs := int32(0)\n   204→\n   205→\t\twg.Add(Keys.NumWorkers)\n   206→\t\tfor w := 0; w < Keys.NumWorkers; w++ {\n   207→\t\t\tgo func() {\n   208→\t\t\t\tdefer wg.Done()\n   209→\t\t\t\tfor item := range work {\n   210→\t\t\t\t\trows, files, err := archiveCheckpointsToParquet(item.dir, cluster, item.host, from)\n   211→\t\t\t\t\tif err != nil {\n   212→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())\n   213→\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   214→\t\t\t\t\t\tcontinue\n   215→\t\t\t\t\t}\n   216→\t\t\t\t\tif len(rows) > 0 {\n   217→\t\t\t\t\t\tresults <- hostResult{rows: rows, files: files, dir: item.dir}\n   218→\t\t\t\t\t}\n   219→\t\t\t\t}\n   220→\t\t\t}()\n   221→\t\t}\n   222→\n   223→\t\tgo func() {\n   224→\t\t\tfor _, hostEntry := range hostEntries {\n   225→\t\t\t\tif !hostEntry.IsDir() {\n   226→\t\t\t\t\tcontinue\n   227→\t\t\t\t}\n   228→\t\t\t\tdir := filepath.Join(checkpointsDir, cluster, hostEntry.Name())\n   229→\t\t\t\twork <- struct {\n   230→\t\t\t\t\tdir, host string\n   231→\t\t\t\t}{dir: dir, host: hostEntry.Name()}\n   232→\t\t\t}\n   233→\t\t\tclose(work)\n   234→\t\t\twg.Wait()\n   235→\t\t\tclose(results)\n   236→\t\t}()\n   237→\n   238→\t\t// Collect all rows and file info\n   239→\t\tvar allRows []ParquetMetricRow\n   240→\t\tvar allResults []hostResult\n   241→\t\tfor r := range results {\n   242→\t\t\tallRows = append(allRows, r.rows...)\n   243→\t\t\tallResults = append(allResults, r)\n   244→\t\t}\n   245→\n   246→\t\tif errs > 0 {\n   247→\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n   248→\t\t}\n   249→\n   250→\t\tif len(allRows) == 0 {\n   251→\t\t\tcontinue\n   252→\t\t}\n   253→\n   254→\t\t// Write one Parquet file per cluster\n   255→\t\tparquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))\n   256→\t\tif err := writeParquetArchive(parquetFile, allRows); err != nil {\n   257→\t\t\treturn totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, err)\n   258→\t\t}\n   259→\n   260→\t\t// Delete archived checkpoint files\n   261→\t\tfor _, result := range allResults {\n   262→\t\t\tfor _, file := range result.files {\n   263→\t\t\t\tfilename := filepath.Join(result.dir, file)\n   264→\t\t\t\tif err := os.Remove(filename); err != nil {\n   265→\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n   266→\t\t\t\t} else {\n   267→\t\t\t\t\ttotalFiles++\n   268→\t\t\t\t}\n   269→\t\t\t}\n   270→\t\t}\n   271→\n   272→\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n   273→\t\t\tlen(allRows), totalFiles, cluster, parquetFile)\n   274→\t}\n   275→\n   276→\treturn totalFiles, nil\n   277→}\n   278→"}]},"uuid":"5c641ce2-75b5-4d5f-8b5c-fd0a8d05eefe","timestamp":"2026-03-17T18:14:10.792Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/archive.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"sync\"\n\t\"sync/atomic\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n)\n\n// Worker for either Archiving or Deleting files\n\nfunc CleanUp(wg *sync.WaitGroup, ctx context.Context) {\n\tif Keys.Cleanup.Mode == \"archive\" {\n\t\t// Run as Archiver\n\t\tcleanUpWorker(wg, ctx,\n\t\t\tKeys.RetentionInMemory,\n\t\t\t\"archiving\",\n\t\t\tKeys.Cleanup.RootDir,\n\t\t\tfalse,\n\t\t)\n\t} else {\n\t\t// Run as Deleter\n\t\tcleanUpWorker(wg, ctx,\n\t\t\tKeys.RetentionInMemory,\n\t\t\t\"deleting\",\n\t\t\t\"\",\n\t\t\ttrue,\n\t\t)\n\t}\n}\n\n// cleanUpWorker takes simple values to configure what it does\nfunc cleanUpWorker(wg *sync.WaitGroup, ctx context.Context, interval string, mode string, cleanupDir string, delete bool) {\n\twg.Go(func() {\n\n\t\td, err := time.ParseDuration(interval)\n\t\tif err != nil {\n\t\t\tcclog.Fatalf(\"[METRICSTORE]> error parsing %s interval duration: %v\\n\", mode, err)\n\t\t}\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(d)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tt := time.Now().Add(-d)\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start %s checkpoints (older than %s)...\", mode, t.Format(time.RFC3339))\n\n\t\t\t\tn, err := CleanupCheckpoints(Keys.Checkpoints.RootDir, cleanupDir, t.Unix(), delete)\n\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> %s failed: %s\", mode, err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tif delete {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoints deleted\", n)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files archived to parquet\", n)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\nvar ErrNoNewArchiveData error = errors.New(\"all data already archived\")\n\n// CleanupCheckpoints deletes or archives all checkpoint files older than `from`.\n// When archiving, consolidates all hosts per cluster into a single Parquet file.\nfunc CleanupCheckpoints(checkpointsDir, cleanupDir string, from int64, deleteInstead bool) (int, error) {\n\tif deleteInstead {\n\t\treturn deleteCheckpoints(checkpointsDir, from)\n\t}\n\n\treturn archiveCheckpoints(checkpointsDir, cleanupDir, from)\n}\n\n// deleteCheckpoints removes checkpoint files older than `from` across all clusters/hosts.\nfunc deleteCheckpoints(checkpointsDir string, from int64) (int, error) {\n\tentries1, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttype workItem struct {\n\t\tdir            string\n\t\tcluster, host  string\n\t}\n\n\tvar wg sync.WaitGroup\n\tn, errs := int32(0), int32(0)\n\twork := make(chan workItem, Keys.NumWorkers)\n\n\twg.Add(Keys.NumWorkers)\n\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor item := range work {\n\t\t\t\tentries, err := os.ReadDir(item.dir)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"error reading %s/%s: %s\", item.cluster, item.host, err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tfiles, err := findFiles(entries, from, false)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"error finding files in %s/%s: %s\", item.cluster, item.host, err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tfor _, checkpoint := range files {\n\t\t\t\t\tif err := os.Remove(filepath.Join(item.dir, checkpoint)); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"error deleting %s/%s/%s: %s\", item.cluster, item.host, checkpoint, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor _, de1 := range entries1 {\n\t\tentries2, e := os.ReadDir(filepath.Join(checkpointsDir, de1.Name()))\n\t\tif e != nil {\n\t\t\terr = e\n\t\t\tcontinue\n\t\t}\n\n\t\tfor _, de2 := range entries2 {\n\t\t\twork <- workItem{\n\t\t\t\tdir:     filepath.Join(checkpointsDir, de1.Name(), de2.Name()),\n\t\t\t\tcluster: de1.Name(),\n\t\t\t\thost:    de2.Name(),\n\t\t\t}\n\t\t}\n\t}\n\n\tclose(work)\n\twg.Wait()\n\n\tif err != nil {\n\t\treturn int(n), err\n\t}\n\tif errs > 0 {\n\t\treturn int(n), fmt.Errorf(\"%d errors happened while deleting (%d successes)\", errs, n)\n\t}\n\treturn int(n), nil\n}\n\n// archiveCheckpoints archives checkpoint files to Parquet format.\n// Produces one Parquet file per cluster: <cleanupDir>/<cluster>/<timestamp>.parquet\nfunc archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n\tclusterEntries, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttotalFiles := 0\n\n\tfor _, clusterEntry := range clusterEntries {\n\t\tif !clusterEntry.IsDir() {\n\t\t\tcontinue\n\t\t}\n\n\t\tcluster := clusterEntry.Name()\n\t\thostEntries, err := os.ReadDir(filepath.Join(checkpointsDir, cluster))\n\t\tif err != nil {\n\t\t\treturn totalFiles, err\n\t\t}\n\n\t\t// Collect rows from all hosts in this cluster using worker pool\n\t\ttype hostResult struct {\n\t\t\trows  []ParquetMetricRow\n\t\t\tfiles []string // checkpoint filenames to delete after successful write\n\t\t\tdir   string   // checkpoint directory for this host\n\t\t}\n\n\t\tresults := make(chan hostResult, len(hostEntries))\n\t\twork := make(chan struct {\n\t\t\tdir, host string\n\t\t}, Keys.NumWorkers)\n\n\t\tvar wg sync.WaitGroup\n\t\terrs := int32(0)\n\n\t\twg.Add(Keys.NumWorkers)\n\t\tfor w := 0; w < Keys.NumWorkers; w++ {\n\t\t\tgo func() {\n\t\t\t\tdefer wg.Done()\n\t\t\t\tfor item := range work {\n\t\t\t\t\trows, files, err := archiveCheckpointsToParquet(item.dir, cluster, item.host, from)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tif len(rows) > 0 {\n\t\t\t\t\t\tresults <- hostResult{rows: rows, files: files, dir: item.dir}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\t\t}\n\n\t\tgo func() {\n\t\t\tfor _, hostEntry := range hostEntries {\n\t\t\t\tif !hostEntry.IsDir() {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tdir := filepath.Join(checkpointsDir, cluster, hostEntry.Name())\n\t\t\t\twork <- struct {\n\t\t\t\t\tdir, host string\n\t\t\t\t}{dir: dir, host: hostEntry.Name()}\n\t\t\t}\n\t\t\tclose(work)\n\t\t\twg.Wait()\n\t\t\tclose(results)\n\t\t}()\n\n\t\t// Collect all rows and file info\n\t\tvar allRows []ParquetMetricRow\n\t\tvar allResults []hostResult\n\t\tfor r := range results {\n\t\t\tallRows = append(allRows, r.rows...)\n\t\t\tallResults = append(allResults, r)\n\t\t}\n\n\t\tif errs > 0 {\n\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n\t\t}\n\n\t\tif len(allRows) == 0 {\n\t\t\tcontinue\n\t\t}\n\n\t\t// Write one Parquet file per cluster\n\t\tparquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))\n\t\tif err := writeParquetArchive(parquetFile, allRows); err != nil {\n\t\t\treturn totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, err)\n\t\t}\n\n\t\t// Delete archived checkpoint files\n\t\tfor _, result := range allResults {\n\t\t\tfor _, file := range result.files {\n\t\t\t\tfilename := filepath.Join(result.dir, file)\n\t\t\t\tif err := os.Remove(filename); err != nil {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n\t\t\t\t} else {\n\t\t\t\t\ttotalFiles++\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n\t\t\tlen(allRows), totalFiles, cluster, parquetFile)\n\t}\n\n\treturn totalFiles, nil\n}\n","numLines":278,"startLine":1,"totalLines":278}},"sourceToolAssistantUUID":"4704a1bc-5253-41ee-b057-59f5c34430a8","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"530dbdcc-8f1e-4870-a1c5-88215ce6a729","isSidechain":false,"promptId":"9e69bd94-834f-43c2-9173-add782b0f1d4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AdHt5nZpLoZxxyDJ4BAorq","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package metricstore\n     7→\n     8→import (\n     9→\t\"encoding/json\"\n    10→\t\"os\"\n    11→\t\"path/filepath\"\n    12→\t\"testing\"\n    13→\n    14→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    15→\tpq \"github.com/parquet-go/parquet-go\"\n    16→)\n    17→\n    18→func TestParseScopeFromName(t *testing.T) {\n    19→\ttests := []struct {\n    20→\t\tname      string\n    21→\t\twantScope string\n    22→\t\twantID    string\n    23→\t}{\n    24→\t\t{\"socket0\", \"socket\", \"0\"},\n    25→\t\t{\"socket12\", \"socket\", \"12\"},\n    26→\t\t{\"core0\", \"core\", \"0\"},\n    27→\t\t{\"core127\", \"core\", \"127\"},\n    28→\t\t{\"cpu0\", \"hwthread\", \"0\"},\n    29→\t\t{\"hwthread5\", \"hwthread\", \"5\"},\n    30→\t\t{\"memoryDomain0\", \"memoryDomain\", \"0\"},\n    31→\t\t{\"accelerator0\", \"accelerator\", \"0\"},\n    32→\t\t{\"unknown\", \"unknown\", \"\"},\n    33→\t\t{\"socketX\", \"socketX\", \"\"}, // not numeric suffix\n    34→\t}\n    35→\n    36→\tfor _, tt := range tests {\n    37→\t\tt.Run(tt.name, func(t *testing.T) {\n    38→\t\t\tscope, id := parseScopeFromName(tt.name)\n    39→\t\t\tif scope != tt.wantScope || id != tt.wantID {\n    40→\t\t\t\tt.Errorf(\"parseScopeFromName(%q) = (%q, %q), want (%q, %q)\",\n    41→\t\t\t\t\ttt.name, scope, id, tt.wantScope, tt.wantID)\n    42→\t\t\t}\n    43→\t\t})\n    44→\t}\n    45→}\n    46→\n    47→func TestFlattenCheckpointFile(t *testing.T) {\n    48→\tcf := &CheckpointFile{\n    49→\t\tFrom: 1000,\n    50→\t\tTo:   1060,\n    51→\t\tMetrics: map[string]*CheckpointMetrics{\n    52→\t\t\t\"cpu_load\": {\n    53→\t\t\t\tFrequency: 60,\n    54→\t\t\t\tStart:     1000,\n    55→\t\t\t\tData:      []schema.Float{0.5, 0.7, schema.NaN},\n    56→\t\t\t},\n    57→\t\t},\n    58→\t\tChildren: map[string]*CheckpointFile{\n    59→\t\t\t\"socket0\": {\n    60→\t\t\t\tMetrics: map[string]*CheckpointMetrics{\n    61→\t\t\t\t\t\"mem_bw\": {\n    62→\t\t\t\t\t\tFrequency: 60,\n    63→\t\t\t\t\t\tStart:     1000,\n    64→\t\t\t\t\t\tData:      []schema.Float{100.0, schema.NaN, 200.0},\n    65→\t\t\t\t\t},\n    66→\t\t\t\t},\n    67→\t\t\t\tChildren: make(map[string]*CheckpointFile),\n    68→\t\t\t},\n    69→\t\t},\n    70→\t}\n    71→\n    72→\trows := flattenCheckpointFile(cf, \"fritz\", \"node001\", \"node\", \"\", nil)\n    73→\n    74→\t// cpu_load: 2 non-NaN values at node scope\n    75→\t// mem_bw: 2 non-NaN values at socket0 scope\n    76→\tif len(rows) != 4 {\n    77→\t\tt.Fatalf(\"expected 4 rows, got %d\", len(rows))\n    78→\t}\n    79→\n    80→\t// Verify a node-scope row\n    81→\tfound := false\n    82→\tfor _, r := range rows {\n    83→\t\tif r.Metric == \"cpu_load\" && r.Timestamp == 1000 {\n    84→\t\t\tfound = true\n    85→\t\t\tif r.Cluster != \"fritz\" || r.Hostname != \"node001\" || r.Scope != \"node\" || r.Value != 0.5 {\n    86→\t\t\t\tt.Errorf(\"unexpected row: %+v\", r)\n    87→\t\t\t}\n    88→\t\t}\n    89→\t}\n    90→\tif !found {\n    91→\t\tt.Error(\"expected cpu_load row at timestamp 1000\")\n    92→\t}\n    93→\n    94→\t// Verify a socket-scope row\n    95→\tfound = false\n    96→\tfor _, r := range rows {\n    97→\t\tif r.Metric == \"mem_bw\" && r.Scope == \"socket\" && r.ScopeID == \"0\" {\n    98→\t\t\tfound = true\n    99→\t\t}\n   100→\t}\n   101→\tif !found {\n   102→\t\tt.Error(\"expected mem_bw row with scope=socket, scope_id=0\")\n   103→\t}\n   104→}\n   105→\n   106→func TestParquetArchiveRoundtrip(t *testing.T) {\n   107→\ttmpDir := t.TempDir()\n   108→\n   109→\t// Create checkpoint files on disk (JSON format)\n   110→\tcpDir := filepath.Join(tmpDir, \"checkpoints\", \"testcluster\", \"node001\")\n   111→\tif err := os.MkdirAll(cpDir, 0o755); err != nil {\n   112→\t\tt.Fatal(err)\n   113→\t}\n   114→\n   115→\tcf := &CheckpointFile{\n   116→\t\tFrom: 1000,\n   117→\t\tTo:   1180,\n   118→\t\tMetrics: map[string]*CheckpointMetrics{\n   119→\t\t\t\"cpu_load\": {\n   120→\t\t\t\tFrequency: 60,\n   121→\t\t\t\tStart:     1000,\n   122→\t\t\t\tData:      []schema.Float{0.5, 0.7, 0.9},\n   123→\t\t\t},\n   124→\t\t\t\"mem_used\": {\n   125→\t\t\t\tFrequency: 60,\n   126→\t\t\t\tStart:     1000,\n   127→\t\t\t\tData:      []schema.Float{45.0, 46.0, 47.0},\n   128→\t\t\t},\n   129→\t\t},\n   130→\t\tChildren: map[string]*CheckpointFile{\n   131→\t\t\t\"socket0\": {\n   132→\t\t\t\tMetrics: map[string]*CheckpointMetrics{\n   133→\t\t\t\t\t\"mem_bw\": {\n   134→\t\t\t\t\t\tFrequency: 60,\n   135→\t\t\t\t\t\tStart:     1000,\n   136→\t\t\t\t\t\tData:      []schema.Float{100.0, 110.0, 120.0},\n   137→\t\t\t\t\t},\n   138→\t\t\t\t},\n   139→\t\t\t\tChildren: make(map[string]*CheckpointFile),\n   140→\t\t\t},\n   141→\t\t},\n   142→\t}\n   143→\n   144→\t// Write JSON checkpoint\n   145→\tcpFile := filepath.Join(cpDir, \"1000.json\")\n   146→\tdata, err := json.Marshal(cf)\n   147→\tif err != nil {\n   148→\t\tt.Fatal(err)\n   149→\t}\n   150→\tif err := os.WriteFile(cpFile, data, 0o644); err != nil {\n   151→\t\tt.Fatal(err)\n   152→\t}\n   153→\n   154→\t// Archive to Parquet\n   155→\tarchiveDir := filepath.Join(tmpDir, \"archive\")\n   156→\trows, files, err := archiveCheckpointsToParquet(cpDir, \"testcluster\", \"node001\", 2000)\n   157→\tif err != nil {\n   158→\t\tt.Fatal(err)\n   159→\t}\n   160→\tif len(files) != 1 || files[0] != \"1000.json\" {\n   161→\t\tt.Fatalf(\"expected 1 file, got %v\", files)\n   162→\t}\n   163→\n   164→\tparquetFile := filepath.Join(archiveDir, \"testcluster\", \"1000.parquet\")\n   165→\tif err := writeParquetArchive(parquetFile, rows); err != nil {\n   166→\t\tt.Fatal(err)\n   167→\t}\n   168→\n   169→\t// Read back and verify\n   170→\tf, err := os.Open(parquetFile)\n   171→\tif err != nil {\n   172→\t\tt.Fatal(err)\n   173→\t}\n   174→\tdefer f.Close()\n   175→\n   176→\tstat, _ := f.Stat()\n   177→\tpf, err := pq.OpenFile(f, stat.Size())\n   178→\tif err != nil {\n   179→\t\tt.Fatal(err)\n   180→\t}\n   181→\n   182→\treader := pq.NewGenericReader[ParquetMetricRow](pf)\n   183→\treadRows := make([]ParquetMetricRow, 100)\n   184→\tn, err := reader.Read(readRows)\n   185→\tif err != nil && n == 0 {\n   186→\t\tt.Fatal(err)\n   187→\t}\n   188→\treadRows = readRows[:n]\n   189→\treader.Close()\n   190→\n   191→\t// We expect: cpu_load(3) + mem_used(3) + mem_bw(3) = 9 rows\n   192→\tif n != 9 {\n   193→\t\tt.Fatalf(\"expected 9 rows in parquet file, got %d\", n)\n   194→\t}\n   195→\n   196→\t// Verify cluster and hostname are set correctly\n   197→\tfor _, r := range readRows {\n   198→\t\tif r.Cluster != \"testcluster\" {\n   199→\t\t\tt.Errorf(\"expected cluster=testcluster, got %s\", r.Cluster)\n   200→\t\t}\n   201→\t\tif r.Hostname != \"node001\" {\n   202→\t\t\tt.Errorf(\"expected hostname=node001, got %s\", r.Hostname)\n   203→\t\t}\n   204→\t}\n   205→\n   206→\t// Verify parquet file is smaller than JSON (compression working)\n   207→\tif stat.Size() == 0 {\n   208→\t\tt.Error(\"parquet file is empty\")\n   209→\t}\n   210→\n   211→\tt.Logf(\"Parquet file size: %d bytes for %d rows\", stat.Size(), n)\n   212→}\n   213→\n   214→func TestLoadCheckpointFileFromDisk_JSON(t *testing.T) {\n   215→\ttmpDir := t.TempDir()\n   216→\n   217→\tcf := &CheckpointFile{\n   218→\t\tFrom: 1000,\n   219→\t\tTo:   1060,\n   220→\t\tMetrics: map[string]*CheckpointMetrics{\n   221→\t\t\t\"test_metric\": {\n   222→\t\t\t\tFrequency: 60,\n   223→\t\t\t\tStart:     1000,\n   224→\t\t\t\tData:      []schema.Float{1.0, 2.0, 3.0},\n   225→\t\t\t},\n   226→\t\t},\n   227→\t\tChildren: make(map[string]*CheckpointFile),\n   228→\t}\n   229→\n   230→\tfilename := filepath.Join(tmpDir, \"1000.json\")\n   231→\tdata, err := json.Marshal(cf)\n   232→\tif err != nil {\n   233→\t\tt.Fatal(err)\n   234→\t}\n   235→\tif err := os.WriteFile(filename, data, 0o644); err != nil {\n   236→\t\tt.Fatal(err)\n   237→\t}\n   238→\n   239→\tloaded, err := loadCheckpointFileFromDisk(filename)\n   240→\tif err != nil {\n   241→\t\tt.Fatal(err)\n   242→\t}\n   243→\n   244→\tif loaded.From != 1000 || loaded.To != 1060 {\n   245→\t\tt.Errorf(\"expected From=1000, To=1060, got From=%d, To=%d\", loaded.From, loaded.To)\n   246→\t}\n   247→\n   248→\tm, ok := loaded.Metrics[\"test_metric\"]\n   249→\tif !ok {\n   250→\t\tt.Fatal(\"expected test_metric in loaded checkpoint\")\n   251→\t}\n   252→\tif m.Frequency != 60 || m.Start != 1000 || len(m.Data) != 3 {\n   253→\t\tt.Errorf(\"unexpected metric data: %+v\", m)\n   254→\t}\n   255→}\n   256→"}]},"uuid":"4a0aef1c-e87c-4f66-9d2e-f9bec302737c","timestamp":"2026-03-17T18:14:11.268Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive_test.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"encoding/json\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"testing\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\nfunc TestParseScopeFromName(t *testing.T) {\n\ttests := []struct {\n\t\tname      string\n\t\twantScope string\n\t\twantID    string\n\t}{\n\t\t{\"socket0\", \"socket\", \"0\"},\n\t\t{\"socket12\", \"socket\", \"12\"},\n\t\t{\"core0\", \"core\", \"0\"},\n\t\t{\"core127\", \"core\", \"127\"},\n\t\t{\"cpu0\", \"hwthread\", \"0\"},\n\t\t{\"hwthread5\", \"hwthread\", \"5\"},\n\t\t{\"memoryDomain0\", \"memoryDomain\", \"0\"},\n\t\t{\"accelerator0\", \"accelerator\", \"0\"},\n\t\t{\"unknown\", \"unknown\", \"\"},\n\t\t{\"socketX\", \"socketX\", \"\"}, // not numeric suffix\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(tt.name, func(t *testing.T) {\n\t\t\tscope, id := parseScopeFromName(tt.name)\n\t\t\tif scope != tt.wantScope || id != tt.wantID {\n\t\t\t\tt.Errorf(\"parseScopeFromName(%q) = (%q, %q), want (%q, %q)\",\n\t\t\t\t\ttt.name, scope, id, tt.wantScope, tt.wantID)\n\t\t\t}\n\t\t})\n\t}\n}\n\nfunc TestFlattenCheckpointFile(t *testing.T) {\n\tcf := &CheckpointFile{\n\t\tFrom: 1000,\n\t\tTo:   1060,\n\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\"cpu_load\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart:     1000,\n\t\t\t\tData:      []schema.Float{0.5, 0.7, schema.NaN},\n\t\t\t},\n\t\t},\n\t\tChildren: map[string]*CheckpointFile{\n\t\t\t\"socket0\": {\n\t\t\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\t\t\"mem_bw\": {\n\t\t\t\t\t\tFrequency: 60,\n\t\t\t\t\t\tStart:     1000,\n\t\t\t\t\t\tData:      []schema.Float{100.0, schema.NaN, 200.0},\n\t\t\t\t\t},\n\t\t\t\t},\n\t\t\t\tChildren: make(map[string]*CheckpointFile),\n\t\t\t},\n\t\t},\n\t}\n\n\trows := flattenCheckpointFile(cf, \"fritz\", \"node001\", \"node\", \"\", nil)\n\n\t// cpu_load: 2 non-NaN values at node scope\n\t// mem_bw: 2 non-NaN values at socket0 scope\n\tif len(rows) != 4 {\n\t\tt.Fatalf(\"expected 4 rows, got %d\", len(rows))\n\t}\n\n\t// Verify a node-scope row\n\tfound := false\n\tfor _, r := range rows {\n\t\tif r.Metric == \"cpu_load\" && r.Timestamp == 1000 {\n\t\t\tfound = true\n\t\t\tif r.Cluster != \"fritz\" || r.Hostname != \"node001\" || r.Scope != \"node\" || r.Value != 0.5 {\n\t\t\t\tt.Errorf(\"unexpected row: %+v\", r)\n\t\t\t}\n\t\t}\n\t}\n\tif !found {\n\t\tt.Error(\"expected cpu_load row at timestamp 1000\")\n\t}\n\n\t// Verify a socket-scope row\n\tfound = false\n\tfor _, r := range rows {\n\t\tif r.Metric == \"mem_bw\" && r.Scope == \"socket\" && r.ScopeID == \"0\" {\n\t\t\tfound = true\n\t\t}\n\t}\n\tif !found {\n\t\tt.Error(\"expected mem_bw row with scope=socket, scope_id=0\")\n\t}\n}\n\nfunc TestParquetArchiveRoundtrip(t *testing.T) {\n\ttmpDir := t.TempDir()\n\n\t// Create checkpoint files on disk (JSON format)\n\tcpDir := filepath.Join(tmpDir, \"checkpoints\", \"testcluster\", \"node001\")\n\tif err := os.MkdirAll(cpDir, 0o755); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tcf := &CheckpointFile{\n\t\tFrom: 1000,\n\t\tTo:   1180,\n\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\"cpu_load\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart:     1000,\n\t\t\t\tData:      []schema.Float{0.5, 0.7, 0.9},\n\t\t\t},\n\t\t\t\"mem_used\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart:     1000,\n\t\t\t\tData:      []schema.Float{45.0, 46.0, 47.0},\n\t\t\t},\n\t\t},\n\t\tChildren: map[string]*CheckpointFile{\n\t\t\t\"socket0\": {\n\t\t\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\t\t\"mem_bw\": {\n\t\t\t\t\t\tFrequency: 60,\n\t\t\t\t\t\tStart:     1000,\n\t\t\t\t\t\tData:      []schema.Float{100.0, 110.0, 120.0},\n\t\t\t\t\t},\n\t\t\t\t},\n\t\t\t\tChildren: make(map[string]*CheckpointFile),\n\t\t\t},\n\t\t},\n\t}\n\n\t// Write JSON checkpoint\n\tcpFile := filepath.Join(cpDir, \"1000.json\")\n\tdata, err := json.Marshal(cf)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif err := os.WriteFile(cpFile, data, 0o644); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\t// Archive to Parquet\n\tarchiveDir := filepath.Join(tmpDir, \"archive\")\n\trows, files, err := archiveCheckpointsToParquet(cpDir, \"testcluster\", \"node001\", 2000)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif len(files) != 1 || files[0] != \"1000.json\" {\n\t\tt.Fatalf(\"expected 1 file, got %v\", files)\n\t}\n\n\tparquetFile := filepath.Join(archiveDir, \"testcluster\", \"1000.parquet\")\n\tif err := writeParquetArchive(parquetFile, rows); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\t// Read back and verify\n\tf, err := os.Open(parquetFile)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tdefer f.Close()\n\n\tstat, _ := f.Stat()\n\tpf, err := pq.OpenFile(f, stat.Size())\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\treader := pq.NewGenericReader[ParquetMetricRow](pf)\n\treadRows := make([]ParquetMetricRow, 100)\n\tn, err := reader.Read(readRows)\n\tif err != nil && n == 0 {\n\t\tt.Fatal(err)\n\t}\n\treadRows = readRows[:n]\n\treader.Close()\n\n\t// We expect: cpu_load(3) + mem_used(3) + mem_bw(3) = 9 rows\n\tif n != 9 {\n\t\tt.Fatalf(\"expected 9 rows in parquet file, got %d\", n)\n\t}\n\n\t// Verify cluster and hostname are set correctly\n\tfor _, r := range readRows {\n\t\tif r.Cluster != \"testcluster\" {\n\t\t\tt.Errorf(\"expected cluster=testcluster, got %s\", r.Cluster)\n\t\t}\n\t\tif r.Hostname != \"node001\" {\n\t\t\tt.Errorf(\"expected hostname=node001, got %s\", r.Hostname)\n\t\t}\n\t}\n\n\t// Verify parquet file is smaller than JSON (compression working)\n\tif stat.Size() == 0 {\n\t\tt.Error(\"parquet file is empty\")\n\t}\n\n\tt.Logf(\"Parquet file size: %d bytes for %d rows\", stat.Size(), n)\n}\n\nfunc TestLoadCheckpointFileFromDisk_JSON(t *testing.T) {\n\ttmpDir := t.TempDir()\n\n\tcf := &CheckpointFile{\n\t\tFrom: 1000,\n\t\tTo:   1060,\n\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\"test_metric\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart:     1000,\n\t\t\t\tData:      []schema.Float{1.0, 2.0, 3.0},\n\t\t\t},\n\t\t},\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tfilename := filepath.Join(tmpDir, \"1000.json\")\n\tdata, err := json.Marshal(cf)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif err := os.WriteFile(filename, data, 0o644); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tloaded, err := loadCheckpointFileFromDisk(filename)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tif loaded.From != 1000 || loaded.To != 1060 {\n\t\tt.Errorf(\"expected From=1000, To=1060, got From=%d, To=%d\", loaded.From, loaded.To)\n\t}\n\n\tm, ok := loaded.Metrics[\"test_metric\"]\n\tif !ok {\n\t\tt.Fatal(\"expected test_metric in loaded checkpoint\")\n\t}\n\tif m.Frequency != 60 || m.Start != 1000 || len(m.Data) != 3 {\n\t\tt.Errorf(\"unexpected metric data: %+v\", m)\n\t}\n}\n","numLines":256,"startLine":1,"totalLines":256}},"sourceToolAssistantUUID":"530dbdcc-8f1e-4870-a1c5-88215ce6a729","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"c275b193-e533-456b-9230-e0ee1ea0fa1c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01RMdmF6xH1mm2DpsrqgJrgu","type":"message","role":"assistant","content":[{"type":"text","text":"Now I have a clear picture. Let me implement the changes.\n\n**Step 1: Update `parquetArchive.go`** - Add streaming writer, remove old `writeParquetArchive`"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":10208,"cache_read_input_tokens":18796,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":10208},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ97AGSxvMsprpByJkyy2","type":"assistant","uuid":"98760d2a-e3cc-42e4-8777-b0c8be9375ea","timestamp":"2026-03-17T18:14:18.228Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"type":"file-history-snapshot","messageId":"66271b96-1bbf-4446-bc30-dc4fe8513046","snapshot":{"messageId":"b533e922-ca3a-46ea-b62d-b0ee4ca0d906","trackedFileBackups":{"pkg/metricstore/parquetArchive.go":{"backupFileName":"d23fbf0a668003f6@v1","version":1,"backupTime":"2026-03-17T18:14:21.260Z"}},"timestamp":"2026-03-17T18:14:06.692Z"},"isSnapshotUpdate":true}
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+{"parentUuid":"66271b96-1bbf-4446-bc30-dc4fe8513046","isSidechain":false,"promptId":"9e69bd94-834f-43c2-9173-add782b0f1d4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KEEBSH5oTDBJaFVzJj24Fp","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive.go has been updated successfully."}]},"uuid":"8ea10542-c017-448f-9afb-91498f3807c8","timestamp":"2026-03-17T18:14:21.265Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive.go","oldString":"import (\n\t\"bufio\"\n\t\"encoding/binary\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)","newString":"import (\n\t\"bufio\"\n\t\"encoding/binary\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"sort\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"encoding/binary\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\n// ParquetMetricRow is the long-format schema for archived metric data.\n// One row per (host, metric, scope, scope_id, timestamp) data point.\n// Sorted by (cluster, hostname, metric, timestamp) for optimal compression.\ntype ParquetMetricRow struct {\n\tCluster   string  `parquet:\"cluster\"`\n\tHostname  string  `parquet:\"hostname\"`\n\tMetric    string  `parquet:\"metric\"`\n\tScope     string  `parquet:\"scope\"`\n\tScopeID   string  `parquet:\"scope_id\"`\n\tTimestamp int64   `parquet:\"timestamp\"`\n\tFrequency int64   `parquet:\"frequency\"`\n\tValue     float32 `parquet:\"value\"`\n}\n\n// flattenCheckpointFile recursively converts a CheckpointFile tree into Parquet rows.\n// The scope path is built from the hierarchy: host level is \"node\", then child names\n// map to scope/scope_id (e.g., \"socket0\" → scope=\"socket\", scope_id=\"0\").\nfunc flattenCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string, rows []ParquetMetricRow) []ParquetMetricRow {\n\tfor metricName, cm := range cf.Metrics {\n\t\tts := cm.Start\n\t\tfor _, v := range cm.Data {\n\t\t\tif !v.IsNaN() {\n\t\t\t\trows = append(rows, ParquetMetricRow{\n\t\t\t\t\tCluster:   cluster,\n\t\t\t\t\tHostname:  hostname,\n\t\t\t\t\tMetric:    metricName,\n\t\t\t\t\tScope:     scope,\n\t\t\t\t\tScopeID:   scopeID,\n\t\t\t\t\tTimestamp: ts,\n\t\t\t\t\tFrequency: cm.Frequency,\n\t\t\t\t\tValue:     float32(v),\n\t\t\t\t})\n\t\t\t}\n\t\t\tts += cm.Frequency\n\t\t}\n\t}\n\n\tfor childName, childCf := range cf.Children {\n\t\tchildScope, childScopeID := parseScopeFromName(childName)\n\t\trows = flattenCheckpointFile(childCf, cluster, hostname, childScope, childScopeID, rows)\n\t}\n\n\treturn rows\n}\n\n// parseScopeFromName infers scope and scope_id from a child level name.\n// Examples: \"socket0\" → (\"socket\", \"0\"), \"core12\" → (\"core\", \"12\"),\n// \"a0\" (accelerator) → (\"accelerator\", \"0\").\n// If the name doesn't match known patterns, it's used as-is for scope with empty scope_id.\nfunc parseScopeFromName(name string) (string, string) {\n\tprefixes := []struct {\n\t\tprefix string\n\t\tscope  string\n\t}{\n\t\t{\"socket\", \"socket\"},\n\t\t{\"memoryDomain\", \"memoryDomain\"},\n\t\t{\"core\", \"core\"},\n\t\t{\"hwthread\", \"hwthread\"},\n\t\t{\"cpu\", \"hwthread\"},\n\t\t{\"accelerator\", \"accelerator\"},\n\t}\n\n\tfor _, p := range prefixes {\n\t\tif len(name) > len(p.prefix) && name[:len(p.prefix)] == p.prefix {\n\t\t\tid := name[len(p.prefix):]\n\t\t\tif len(id) > 0 && id[0] >= '0' && id[0] <= '9' {\n\t\t\t\treturn p.scope, id\n\t\t\t}\n\t\t}\n\t}\n\n\treturn name, \"\"\n}\n\n// writeParquetArchive writes rows to a Parquet file with Zstd compression.\nfunc writeParquetArchive(filename string, rows []ParquetMetricRow) error {\n\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"creating archive directory: %w\", err)\n\t}\n\n\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"creating parquet file: %w\", err)\n\t}\n\tdefer f.Close()\n\n\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n\n\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n\t\tpq.Compression(&pq.Zstd),\n\t\tpq.SortingWriterConfig(pq.SortingColumns(\n\t\t\tpq.Ascending(\"cluster\"),\n\t\t\tpq.Ascending(\"hostname\"),\n\t\t\tpq.Ascending(\"metric\"),\n\t\t\tpq.Ascending(\"timestamp\"),\n\t\t)),\n\t)\n\n\tif _, err := writer.Write(rows); err != nil {\n\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n\t}\n\n\tif err := writer.Close(); err != nil {\n\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n\t}\n\n\tif err := bw.Flush(); err != nil {\n\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n\t}\n\n\treturn nil\n}\n\n// loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns\n// a CheckpointFile. Used by the Parquet archiver to read checkpoint data\n// before converting it to Parquet format.\nfunc loadCheckpointFileFromDisk(filename string) (*CheckpointFile, error) {\n\tf, err := os.Open(filename)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer f.Close()\n\n\text := filepath.Ext(filename)\n\tswitch ext {\n\tcase \".json\":\n\t\tcf := &CheckpointFile{}\n\t\tbr := bufio.NewReader(f)\n\t\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"decoding JSON checkpoint %s: %w\", filename, err)\n\t\t}\n\t\treturn cf, nil\n\n\tcase \".bin\":\n\t\tbr := bufio.NewReader(f)\n\t\tvar magic uint32\n\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading magic from %s: %w\", filename, err)\n\t\t}\n\t\tif magic != snapFileMagic {\n\t\t\treturn nil, fmt.Errorf(\"invalid snapshot magic in %s: 0x%08X\", filename, magic)\n\t\t}\n\t\tvar fileFrom, fileTo int64\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading from-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading to-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tcf, err := readBinaryLevel(br)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading binary level from %s: %w\", filename, err)\n\t\t}\n\t\tcf.From = fileFrom\n\t\tcf.To = fileTo\n\t\treturn cf, nil\n\n\tdefault:\n\t\treturn nil, fmt.Errorf(\"unsupported checkpoint extension: %s\", ext)\n\t}\n}\n\n// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n// converts them to Parquet rows. Returns the rows and filenames that were processed.\nfunc archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n\tentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tfiles, err := findFiles(entries, from, false)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tif len(files) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\tvar rows []ParquetMetricRow\n\n\tfor _, checkpoint := range files {\n\t\tfilename := filepath.Join(dir, checkpoint)\n\t\tcf, err := loadCheckpointFileFromDisk(filename)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n\t\t\tcontinue\n\t\t}\n\n\t\trows = flattenCheckpointFile(cf, cluster, host, \"node\", \"\", rows)\n\t}\n\n\treturn rows, files, nil\n}\n","structuredPatch":[{"oldStart":12,"oldLines":6,"newStart":12,"newLines":7,"lines":["   \"fmt\"","   \"os\"","   \"path/filepath\"","+  \"sort\""," ","   cclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"","   pq \"github.com/parquet-go/parquet-go\""]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"66271b96-1bbf-4446-bc30-dc4fe8513046","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
+{"parentUuid":"8ea10542-c017-448f-9afb-91498f3807c8","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01DPuC6qZGeRor7sj16J9WjX","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LEFj1LSgwARFjJfDqJypBn","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive.go","old_string":"// writeParquetArchive writes rows to a Parquet file with Zstd compression.\nfunc writeParquetArchive(filename string, rows []ParquetMetricRow) error {\n\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"creating archive directory: %w\", err)\n\t}\n\n\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"creating parquet file: %w\", err)\n\t}\n\tdefer f.Close()\n\n\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n\n\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n\t\tpq.Compression(&pq.Zstd),\n\t\tpq.SortingWriterConfig(pq.SortingColumns(\n\t\t\tpq.Ascending(\"cluster\"),\n\t\t\tpq.Ascending(\"hostname\"),\n\t\t\tpq.Ascending(\"metric\"),\n\t\t\tpq.Ascending(\"timestamp\"),\n\t\t)),\n\t)\n\n\tif _, err := writer.Write(rows); err != nil {\n\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n\t}\n\n\tif err := writer.Close(); err != nil {\n\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n\t}\n\n\tif err := bw.Flush(); err != nil {\n\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n\t}\n\n\treturn nil\n}","new_string":"// parquetArchiveWriter supports incremental writes to a Parquet file.\n// Each call to WriteHostRows writes one row group (typically one host's data),\n// avoiding accumulation of all rows in memory.\ntype parquetArchiveWriter struct {\n\twriter *pq.GenericWriter[ParquetMetricRow]\n\tbw     *bufio.Writer\n\tf      *os.File\n\tcount  int\n}\n\n// newParquetArchiveWriter creates a streaming Parquet writer with Zstd compression.\nfunc newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error) {\n\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n\t\treturn nil, fmt.Errorf(\"creating archive directory: %w\", err)\n\t}\n\n\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn nil, fmt.Errorf(\"creating parquet file: %w\", err)\n\t}\n\n\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n\n\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n\t\tpq.Compression(&pq.Zstd),\n\t)\n\n\treturn &parquetArchiveWriter{writer: writer, bw: bw, f: f}, nil\n}\n\n// WriteHostRows sorts rows by (metric, timestamp) in-place, writes them,\n// and flushes to create a separate row group.\nfunc (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error {\n\tsort.Slice(rows, func(i, j int) bool {\n\t\tif rows[i].Metric != rows[j].Metric {\n\t\t\treturn rows[i].Metric < rows[j].Metric\n\t\t}\n\t\treturn rows[i].Timestamp < rows[j].Timestamp\n\t})\n\n\tif _, err := w.writer.Write(rows); err != nil {\n\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n\t}\n\n\tif err := w.writer.Flush(); err != nil {\n\t\treturn fmt.Errorf(\"flushing parquet row group: %w\", err)\n\t}\n\n\tw.count += len(rows)\n\treturn nil\n}\n\n// Close finalises the Parquet file (footer, buffered I/O, file handle).\nfunc (w *parquetArchiveWriter) Close() error {\n\tif err := w.writer.Close(); err != nil {\n\t\tw.f.Close()\n\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n\t}\n\n\tif err := w.bw.Flush(); err != nil {\n\t\tw.f.Close()\n\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n\t}\n\n\treturn w.f.Close()\n}\n\n// sortParquetRows sorts rows by (metric, timestamp) in-place.\nfunc sortParquetRows(rows []ParquetMetricRow) {\n\tsort.Slice(rows, func(i, j int) bool {\n\t\tif rows[i].Metric != rows[j].Metric {\n\t\t\treturn rows[i].Metric < rows[j].Metric\n\t\t}\n\t\treturn rows[i].Timestamp < rows[j].Timestamp\n\t})\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":513,"cache_read_input_tokens":29004,"output_tokens":1391,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":513,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ97B37JmQrRhr5sZtBP6","type":"assistant","uuid":"c7d57baf-2b11-4363-bd22-b6f5ae4cf140","timestamp":"2026-03-17T18:14:38.960Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"c7d57baf-2b11-4363-bd22-b6f5ae4cf140","isSidechain":false,"promptId":"9e69bd94-834f-43c2-9173-add782b0f1d4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LEFj1LSgwARFjJfDqJypBn","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive.go has been updated successfully."}]},"uuid":"36701fa4-3179-4da4-89fa-9bfce3b3f37d","timestamp":"2026-03-17T18:14:38.984Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive.go","oldString":"// writeParquetArchive writes rows to a Parquet file with Zstd compression.\nfunc writeParquetArchive(filename string, rows []ParquetMetricRow) error {\n\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"creating archive directory: %w\", err)\n\t}\n\n\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"creating parquet file: %w\", err)\n\t}\n\tdefer f.Close()\n\n\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n\n\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n\t\tpq.Compression(&pq.Zstd),\n\t\tpq.SortingWriterConfig(pq.SortingColumns(\n\t\t\tpq.Ascending(\"cluster\"),\n\t\t\tpq.Ascending(\"hostname\"),\n\t\t\tpq.Ascending(\"metric\"),\n\t\t\tpq.Ascending(\"timestamp\"),\n\t\t)),\n\t)\n\n\tif _, err := writer.Write(rows); err != nil {\n\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n\t}\n\n\tif err := writer.Close(); err != nil {\n\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n\t}\n\n\tif err := bw.Flush(); err != nil {\n\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n\t}\n\n\treturn nil\n}","newString":"// parquetArchiveWriter supports incremental writes to a Parquet file.\n// Each call to WriteHostRows writes one row group (typically one host's data),\n// avoiding accumulation of all rows in memory.\ntype parquetArchiveWriter struct {\n\twriter *pq.GenericWriter[ParquetMetricRow]\n\tbw     *bufio.Writer\n\tf      *os.File\n\tcount  int\n}\n\n// newParquetArchiveWriter creates a streaming Parquet writer with Zstd compression.\nfunc newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error) {\n\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n\t\treturn nil, fmt.Errorf(\"creating archive directory: %w\", err)\n\t}\n\n\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn nil, fmt.Errorf(\"creating parquet file: %w\", err)\n\t}\n\n\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n\n\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n\t\tpq.Compression(&pq.Zstd),\n\t)\n\n\treturn &parquetArchiveWriter{writer: writer, bw: bw, f: f}, nil\n}\n\n// WriteHostRows sorts rows by (metric, timestamp) in-place, writes them,\n// and flushes to create a separate row group.\nfunc (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error {\n\tsort.Slice(rows, func(i, j int) bool {\n\t\tif rows[i].Metric != rows[j].Metric {\n\t\t\treturn rows[i].Metric < rows[j].Metric\n\t\t}\n\t\treturn rows[i].Timestamp < rows[j].Timestamp\n\t})\n\n\tif _, err := w.writer.Write(rows); err != nil {\n\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n\t}\n\n\tif err := w.writer.Flush(); err != nil {\n\t\treturn fmt.Errorf(\"flushing parquet row group: %w\", err)\n\t}\n\n\tw.count += len(rows)\n\treturn nil\n}\n\n// Close finalises the Parquet file (footer, buffered I/O, file handle).\nfunc (w *parquetArchiveWriter) Close() error {\n\tif err := w.writer.Close(); err != nil {\n\t\tw.f.Close()\n\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n\t}\n\n\tif err := w.bw.Flush(); err != nil {\n\t\tw.f.Close()\n\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n\t}\n\n\treturn w.f.Close()\n}\n\n// sortParquetRows sorts rows by (metric, timestamp) in-place.\nfunc sortParquetRows(rows []ParquetMetricRow) {\n\tsort.Slice(rows, func(i, j int) bool {\n\t\tif rows[i].Metric != rows[j].Metric {\n\t\t\treturn rows[i].Metric < rows[j].Metric\n\t\t}\n\t\treturn rows[i].Timestamp < rows[j].Timestamp\n\t})\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"encoding/binary\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"sort\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\n// ParquetMetricRow is the long-format schema for archived metric data.\n// One row per (host, metric, scope, scope_id, timestamp) data point.\n// Sorted by (cluster, hostname, metric, timestamp) for optimal compression.\ntype ParquetMetricRow struct {\n\tCluster   string  `parquet:\"cluster\"`\n\tHostname  string  `parquet:\"hostname\"`\n\tMetric    string  `parquet:\"metric\"`\n\tScope     string  `parquet:\"scope\"`\n\tScopeID   string  `parquet:\"scope_id\"`\n\tTimestamp int64   `parquet:\"timestamp\"`\n\tFrequency int64   `parquet:\"frequency\"`\n\tValue     float32 `parquet:\"value\"`\n}\n\n// flattenCheckpointFile recursively converts a CheckpointFile tree into Parquet rows.\n// The scope path is built from the hierarchy: host level is \"node\", then child names\n// map to scope/scope_id (e.g., \"socket0\" → scope=\"socket\", scope_id=\"0\").\nfunc flattenCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string, rows []ParquetMetricRow) []ParquetMetricRow {\n\tfor metricName, cm := range cf.Metrics {\n\t\tts := cm.Start\n\t\tfor _, v := range cm.Data {\n\t\t\tif !v.IsNaN() {\n\t\t\t\trows = append(rows, ParquetMetricRow{\n\t\t\t\t\tCluster:   cluster,\n\t\t\t\t\tHostname:  hostname,\n\t\t\t\t\tMetric:    metricName,\n\t\t\t\t\tScope:     scope,\n\t\t\t\t\tScopeID:   scopeID,\n\t\t\t\t\tTimestamp: ts,\n\t\t\t\t\tFrequency: cm.Frequency,\n\t\t\t\t\tValue:     float32(v),\n\t\t\t\t})\n\t\t\t}\n\t\t\tts += cm.Frequency\n\t\t}\n\t}\n\n\tfor childName, childCf := range cf.Children {\n\t\tchildScope, childScopeID := parseScopeFromName(childName)\n\t\trows = flattenCheckpointFile(childCf, cluster, hostname, childScope, childScopeID, rows)\n\t}\n\n\treturn rows\n}\n\n// parseScopeFromName infers scope and scope_id from a child level name.\n// Examples: \"socket0\" → (\"socket\", \"0\"), \"core12\" → (\"core\", \"12\"),\n// \"a0\" (accelerator) → (\"accelerator\", \"0\").\n// If the name doesn't match known patterns, it's used as-is for scope with empty scope_id.\nfunc parseScopeFromName(name string) (string, string) {\n\tprefixes := []struct {\n\t\tprefix string\n\t\tscope  string\n\t}{\n\t\t{\"socket\", \"socket\"},\n\t\t{\"memoryDomain\", \"memoryDomain\"},\n\t\t{\"core\", \"core\"},\n\t\t{\"hwthread\", \"hwthread\"},\n\t\t{\"cpu\", \"hwthread\"},\n\t\t{\"accelerator\", \"accelerator\"},\n\t}\n\n\tfor _, p := range prefixes {\n\t\tif len(name) > len(p.prefix) && name[:len(p.prefix)] == p.prefix {\n\t\t\tid := name[len(p.prefix):]\n\t\t\tif len(id) > 0 && id[0] >= '0' && id[0] <= '9' {\n\t\t\t\treturn p.scope, id\n\t\t\t}\n\t\t}\n\t}\n\n\treturn name, \"\"\n}\n\n// writeParquetArchive writes rows to a Parquet file with Zstd compression.\nfunc writeParquetArchive(filename string, rows []ParquetMetricRow) error {\n\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"creating archive directory: %w\", err)\n\t}\n\n\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"creating parquet file: %w\", err)\n\t}\n\tdefer f.Close()\n\n\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n\n\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n\t\tpq.Compression(&pq.Zstd),\n\t\tpq.SortingWriterConfig(pq.SortingColumns(\n\t\t\tpq.Ascending(\"cluster\"),\n\t\t\tpq.Ascending(\"hostname\"),\n\t\t\tpq.Ascending(\"metric\"),\n\t\t\tpq.Ascending(\"timestamp\"),\n\t\t)),\n\t)\n\n\tif _, err := writer.Write(rows); err != nil {\n\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n\t}\n\n\tif err := writer.Close(); err != nil {\n\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n\t}\n\n\tif err := bw.Flush(); err != nil {\n\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n\t}\n\n\treturn nil\n}\n\n// loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns\n// a CheckpointFile. Used by the Parquet archiver to read checkpoint data\n// before converting it to Parquet format.\nfunc loadCheckpointFileFromDisk(filename string) (*CheckpointFile, error) {\n\tf, err := os.Open(filename)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer f.Close()\n\n\text := filepath.Ext(filename)\n\tswitch ext {\n\tcase \".json\":\n\t\tcf := &CheckpointFile{}\n\t\tbr := bufio.NewReader(f)\n\t\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"decoding JSON checkpoint %s: %w\", filename, err)\n\t\t}\n\t\treturn cf, nil\n\n\tcase \".bin\":\n\t\tbr := bufio.NewReader(f)\n\t\tvar magic uint32\n\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading magic from %s: %w\", filename, err)\n\t\t}\n\t\tif magic != snapFileMagic {\n\t\t\treturn nil, fmt.Errorf(\"invalid snapshot magic in %s: 0x%08X\", filename, magic)\n\t\t}\n\t\tvar fileFrom, fileTo int64\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading from-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading to-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tcf, err := readBinaryLevel(br)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading binary level from %s: %w\", filename, err)\n\t\t}\n\t\tcf.From = fileFrom\n\t\tcf.To = fileTo\n\t\treturn cf, nil\n\n\tdefault:\n\t\treturn nil, fmt.Errorf(\"unsupported checkpoint extension: %s\", ext)\n\t}\n}\n\n// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n// converts them to Parquet rows. Returns the rows and filenames that were processed.\nfunc archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n\tentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tfiles, err := findFiles(entries, from, false)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tif len(files) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\tvar rows []ParquetMetricRow\n\n\tfor _, checkpoint := range files {\n\t\tfilename := filepath.Join(dir, checkpoint)\n\t\tcf, err := loadCheckpointFileFromDisk(filename)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n\t\t\tcontinue\n\t\t}\n\n\t\trows = flattenCheckpointFile(cf, cluster, host, \"node\", \"\", rows)\n\t}\n\n\treturn rows, files, nil\n}\n","structuredPatch":[{"oldStart":92,"oldLines":45,"newStart":92,"newLines":83,"lines":["   return name, \"\""," }"," ","-// writeParquetArchive writes rows to a Parquet file with Zstd compression.","-func writeParquetArchive(filename string, rows []ParquetMetricRow) error {","+// parquetArchiveWriter supports incremental writes to a Parquet file.","+// Each call to WriteHostRows writes one row group (typically one host's data),","+// avoiding accumulation of all rows in memory.","+type parquetArchiveWriter struct {","+  writer *pq.GenericWriter[ParquetMetricRow]","+  bw     *bufio.Writer","+  f      *os.File","+  count  int","+}","+","+// newParquetArchiveWriter creates a streaming Parquet writer with Zstd compression.","+func newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error) {","   if err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {","-    return fmt.Errorf(\"creating archive directory: %w\", err)","+    return nil, fmt.Errorf(\"creating archive directory: %w\", err)","   }"," ","   f, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)","   if err != nil {","-    return fmt.Errorf(\"creating parquet file: %w\", err)","+    return nil, fmt.Errorf(\"creating parquet file: %w\", err)","   }","-  defer f.Close()"," ","   bw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer"," ","   writer := pq.NewGenericWriter[ParquetMetricRow](bw,","     pq.Compression(&pq.Zstd),","-    pq.SortingWriterConfig(pq.SortingColumns(","-      pq.Ascending(\"cluster\"),","-      pq.Ascending(\"hostname\"),","-      pq.Ascending(\"metric\"),","-      pq.Ascending(\"timestamp\"),","-    )),","   )"," ","-  if _, err := writer.Write(rows); err != nil {","+  return &parquetArchiveWriter{writer: writer, bw: bw, f: f}, nil","+}","+","+// WriteHostRows sorts rows by (metric, timestamp) in-place, writes them,","+// and flushes to create a separate row group.","+func (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error {","+  sort.Slice(rows, func(i, j int) bool {","+    if rows[i].Metric != rows[j].Metric {","+      return rows[i].Metric < rows[j].Metric","+    }","+    return rows[i].Timestamp < rows[j].Timestamp","+  })","+","+  if _, err := w.writer.Write(rows); err != nil {","     return fmt.Errorf(\"writing parquet rows: %w\", err)","   }"," ","-  if err := writer.Close(); err != nil {","+  if err := w.writer.Flush(); err != nil {","+    return fmt.Errorf(\"flushing parquet row group: %w\", err)","+  }","+","+  w.count += len(rows)","+  return nil","+}","+","+// Close finalises the Parquet file (footer, buffered I/O, file handle).","+func (w *parquetArchiveWriter) Close() error {","+  if err := w.writer.Close(); err != nil {","+    w.f.Close()","     return fmt.Errorf(\"closing parquet writer: %w\", err)","   }"," ","-  if err := bw.Flush(); err != nil {","+  if err := w.bw.Flush(); err != nil {","+    w.f.Close()","     return fmt.Errorf(\"flushing parquet file: %w\", err)","   }"," ","-  return nil","+  return w.f.Close()"," }"," ","+// sortParquetRows sorts rows by (metric, timestamp) in-place.","+func sortParquetRows(rows []ParquetMetricRow) {","+  sort.Slice(rows, func(i, j int) bool {","+    if rows[i].Metric != rows[j].Metric {","+      return rows[i].Metric < rows[j].Metric","+    }","+    return rows[i].Timestamp < rows[j].Timestamp","+  })","+}","+"," // loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns"," // a CheckpointFile. Used by the Parquet archiver to read checkpoint data"," // before converting it to Parquet format."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"c7d57baf-2b11-4363-bd22-b6f5ae4cf140","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"b1545362-e02b-4a3e-a599-0260932338f4","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01VfefjavQzgZsqg8hHTVosW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01L18aviRMvE979p3KoRTiow","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive.go","old_string":"// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n// converts them to Parquet rows. Returns the rows and filenames that were processed.\nfunc archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n\tentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tfiles, err := findFiles(entries, from, false)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tif len(files) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\tvar rows []ParquetMetricRow\n\n\tfor _, checkpoint := range files {\n\t\tfilename := filepath.Join(dir, checkpoint)\n\t\tcf, err := loadCheckpointFileFromDisk(filename)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n\t\t\tcontinue\n\t\t}\n\n\t\trows = flattenCheckpointFile(cf, cluster, host, \"node\", \"\", rows)\n\t}\n\n\treturn rows, files, nil\n}","new_string":"// estimateRowCount estimates the number of Parquet rows a CheckpointFile will produce.\n// Used for pre-allocating the rows slice to avoid repeated append doubling.\nfunc estimateRowCount(cf *CheckpointFile) int {\n\tn := 0\n\tfor _, cm := range cf.Metrics {\n\t\tn += len(cm.Data)\n\t}\n\tfor _, child := range cf.Children {\n\t\tn += estimateRowCount(child)\n\t}\n\treturn n\n}\n\n// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n// converts them to Parquet rows. Returns the rows and filenames that were processed.\nfunc archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n\tentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tfiles, err := findFiles(entries, from, false)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tif len(files) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\t// First pass: load checkpoints and estimate total rows for pre-allocation.\n\ttype loaded struct {\n\t\tcf       *CheckpointFile\n\t\tfilename string\n\t}\n\tvar checkpoints []loaded\n\ttotalEstimate := 0\n\n\tfor _, checkpoint := range files {\n\t\tfilename := filepath.Join(dir, checkpoint)\n\t\tcf, err := loadCheckpointFileFromDisk(filename)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n\t\t\tcontinue\n\t\t}\n\t\ttotalEstimate += estimateRowCount(cf)\n\t\tcheckpoints = append(checkpoints, loaded{cf: cf, filename: checkpoint})\n\t}\n\n\tif len(checkpoints) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\trows := make([]ParquetMetricRow, 0, totalEstimate)\n\tprocessedFiles := make([]string, 0, len(checkpoints))\n\n\tfor _, cp := range checkpoints {\n\t\trows = flattenCheckpointFile(cp.cf, cluster, host, \"node\", \"\", rows)\n\t\tprocessedFiles = append(processedFiles, cp.filename)\n\t}\n\n\treturn rows, processedFiles, nil\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1526,"cache_read_input_tokens":29517,"output_tokens":1038,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1526,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ97CJzZck3MZdNy2tP5h","type":"assistant","uuid":"4f5d24ca-a19c-4d0c-821d-792a973286f3","timestamp":"2026-03-17T18:14:53.263Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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Returns the rows and filenames that were processed.\nfunc archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n\tentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tfiles, err := findFiles(entries, from, false)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tif len(files) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\tvar rows []ParquetMetricRow\n\n\tfor _, checkpoint := range files {\n\t\tfilename := filepath.Join(dir, checkpoint)\n\t\tcf, err := loadCheckpointFileFromDisk(filename)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n\t\t\tcontinue\n\t\t}\n\n\t\trows = flattenCheckpointFile(cf, cluster, host, \"node\", \"\", rows)\n\t}\n\n\treturn rows, files, nil\n}","newString":"// estimateRowCount estimates the number of Parquet rows a CheckpointFile will produce.\n// Used for pre-allocating the rows slice to avoid repeated append doubling.\nfunc estimateRowCount(cf *CheckpointFile) int {\n\tn := 0\n\tfor _, cm := range cf.Metrics {\n\t\tn += len(cm.Data)\n\t}\n\tfor _, child := range cf.Children {\n\t\tn += estimateRowCount(child)\n\t}\n\treturn n\n}\n\n// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n// converts them to Parquet rows. Returns the rows and filenames that were processed.\nfunc archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n\tentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tfiles, err := findFiles(entries, from, false)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tif len(files) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\t// First pass: load checkpoints and estimate total rows for pre-allocation.\n\ttype loaded struct {\n\t\tcf       *CheckpointFile\n\t\tfilename string\n\t}\n\tvar checkpoints []loaded\n\ttotalEstimate := 0\n\n\tfor _, checkpoint := range files {\n\t\tfilename := filepath.Join(dir, checkpoint)\n\t\tcf, err := loadCheckpointFileFromDisk(filename)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n\t\t\tcontinue\n\t\t}\n\t\ttotalEstimate += estimateRowCount(cf)\n\t\tcheckpoints = append(checkpoints, loaded{cf: cf, filename: checkpoint})\n\t}\n\n\tif len(checkpoints) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\trows := make([]ParquetMetricRow, 0, totalEstimate)\n\tprocessedFiles := make([]string, 0, len(checkpoints))\n\n\tfor _, cp := range checkpoints {\n\t\trows = flattenCheckpointFile(cp.cf, cluster, host, \"node\", \"\", rows)\n\t\tprocessedFiles = append(processedFiles, cp.filename)\n\t}\n\n\treturn rows, processedFiles, nil\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"encoding/binary\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"sort\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\n// ParquetMetricRow is the long-format schema for archived metric data.\n// One row per (host, metric, scope, scope_id, timestamp) data point.\n// Sorted by (cluster, hostname, metric, timestamp) for optimal compression.\ntype ParquetMetricRow struct {\n\tCluster   string  `parquet:\"cluster\"`\n\tHostname  string  `parquet:\"hostname\"`\n\tMetric    string  `parquet:\"metric\"`\n\tScope     string  `parquet:\"scope\"`\n\tScopeID   string  `parquet:\"scope_id\"`\n\tTimestamp int64   `parquet:\"timestamp\"`\n\tFrequency int64   `parquet:\"frequency\"`\n\tValue     float32 `parquet:\"value\"`\n}\n\n// flattenCheckpointFile recursively converts a CheckpointFile tree into Parquet rows.\n// The scope path is built from the hierarchy: host level is \"node\", then child names\n// map to scope/scope_id (e.g., \"socket0\" → scope=\"socket\", scope_id=\"0\").\nfunc flattenCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string, rows []ParquetMetricRow) []ParquetMetricRow {\n\tfor metricName, cm := range cf.Metrics {\n\t\tts := cm.Start\n\t\tfor _, v := range cm.Data {\n\t\t\tif !v.IsNaN() {\n\t\t\t\trows = append(rows, ParquetMetricRow{\n\t\t\t\t\tCluster:   cluster,\n\t\t\t\t\tHostname:  hostname,\n\t\t\t\t\tMetric:    metricName,\n\t\t\t\t\tScope:     scope,\n\t\t\t\t\tScopeID:   scopeID,\n\t\t\t\t\tTimestamp: ts,\n\t\t\t\t\tFrequency: cm.Frequency,\n\t\t\t\t\tValue:     float32(v),\n\t\t\t\t})\n\t\t\t}\n\t\t\tts += cm.Frequency\n\t\t}\n\t}\n\n\tfor childName, childCf := range cf.Children {\n\t\tchildScope, childScopeID := parseScopeFromName(childName)\n\t\trows = flattenCheckpointFile(childCf, cluster, hostname, childScope, childScopeID, rows)\n\t}\n\n\treturn rows\n}\n\n// parseScopeFromName infers scope and scope_id from a child level name.\n// Examples: \"socket0\" → (\"socket\", \"0\"), \"core12\" → (\"core\", \"12\"),\n// \"a0\" (accelerator) → (\"accelerator\", \"0\").\n// If the name doesn't match known patterns, it's used as-is for scope with empty scope_id.\nfunc parseScopeFromName(name string) (string, string) {\n\tprefixes := []struct {\n\t\tprefix string\n\t\tscope  string\n\t}{\n\t\t{\"socket\", \"socket\"},\n\t\t{\"memoryDomain\", \"memoryDomain\"},\n\t\t{\"core\", \"core\"},\n\t\t{\"hwthread\", \"hwthread\"},\n\t\t{\"cpu\", \"hwthread\"},\n\t\t{\"accelerator\", \"accelerator\"},\n\t}\n\n\tfor _, p := range prefixes {\n\t\tif len(name) > len(p.prefix) && name[:len(p.prefix)] == p.prefix {\n\t\t\tid := name[len(p.prefix):]\n\t\t\tif len(id) > 0 && id[0] >= '0' && id[0] <= '9' {\n\t\t\t\treturn p.scope, id\n\t\t\t}\n\t\t}\n\t}\n\n\treturn name, \"\"\n}\n\n// parquetArchiveWriter supports incremental writes to a Parquet file.\n// Each call to WriteHostRows writes one row group (typically one host's data),\n// avoiding accumulation of all rows in memory.\ntype parquetArchiveWriter struct {\n\twriter *pq.GenericWriter[ParquetMetricRow]\n\tbw     *bufio.Writer\n\tf      *os.File\n\tcount  int\n}\n\n// newParquetArchiveWriter creates a streaming Parquet writer with Zstd compression.\nfunc newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error) {\n\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n\t\treturn nil, fmt.Errorf(\"creating archive directory: %w\", err)\n\t}\n\n\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn nil, fmt.Errorf(\"creating parquet file: %w\", err)\n\t}\n\n\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n\n\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n\t\tpq.Compression(&pq.Zstd),\n\t)\n\n\treturn &parquetArchiveWriter{writer: writer, bw: bw, f: f}, nil\n}\n\n// WriteHostRows sorts rows by (metric, timestamp) in-place, writes them,\n// and flushes to create a separate row group.\nfunc (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error {\n\tsort.Slice(rows, func(i, j int) bool {\n\t\tif rows[i].Metric != rows[j].Metric {\n\t\t\treturn rows[i].Metric < rows[j].Metric\n\t\t}\n\t\treturn rows[i].Timestamp < rows[j].Timestamp\n\t})\n\n\tif _, err := w.writer.Write(rows); err != nil {\n\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n\t}\n\n\tif err := w.writer.Flush(); err != nil {\n\t\treturn fmt.Errorf(\"flushing parquet row group: %w\", err)\n\t}\n\n\tw.count += len(rows)\n\treturn nil\n}\n\n// Close finalises the Parquet file (footer, buffered I/O, file handle).\nfunc (w *parquetArchiveWriter) Close() error {\n\tif err := w.writer.Close(); err != nil {\n\t\tw.f.Close()\n\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n\t}\n\n\tif err := w.bw.Flush(); err != nil {\n\t\tw.f.Close()\n\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n\t}\n\n\treturn w.f.Close()\n}\n\n// sortParquetRows sorts rows by (metric, timestamp) in-place.\nfunc sortParquetRows(rows []ParquetMetricRow) {\n\tsort.Slice(rows, func(i, j int) bool {\n\t\tif rows[i].Metric != rows[j].Metric {\n\t\t\treturn rows[i].Metric < rows[j].Metric\n\t\t}\n\t\treturn rows[i].Timestamp < rows[j].Timestamp\n\t})\n}\n\n// loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns\n// a CheckpointFile. Used by the Parquet archiver to read checkpoint data\n// before converting it to Parquet format.\nfunc loadCheckpointFileFromDisk(filename string) (*CheckpointFile, error) {\n\tf, err := os.Open(filename)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer f.Close()\n\n\text := filepath.Ext(filename)\n\tswitch ext {\n\tcase \".json\":\n\t\tcf := &CheckpointFile{}\n\t\tbr := bufio.NewReader(f)\n\t\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"decoding JSON checkpoint %s: %w\", filename, err)\n\t\t}\n\t\treturn cf, nil\n\n\tcase \".bin\":\n\t\tbr := bufio.NewReader(f)\n\t\tvar magic uint32\n\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading magic from %s: %w\", filename, err)\n\t\t}\n\t\tif magic != snapFileMagic {\n\t\t\treturn nil, fmt.Errorf(\"invalid snapshot magic in %s: 0x%08X\", filename, magic)\n\t\t}\n\t\tvar fileFrom, fileTo int64\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading from-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading to-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tcf, err := readBinaryLevel(br)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading binary level from %s: %w\", filename, err)\n\t\t}\n\t\tcf.From = fileFrom\n\t\tcf.To = fileTo\n\t\treturn cf, nil\n\n\tdefault:\n\t\treturn nil, fmt.Errorf(\"unsupported checkpoint extension: %s\", ext)\n\t}\n}\n\n// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n// converts them to Parquet rows. Returns the rows and filenames that were processed.\nfunc archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n\tentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tfiles, err := findFiles(entries, from, false)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tif len(files) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\tvar rows []ParquetMetricRow\n\n\tfor _, checkpoint := range files {\n\t\tfilename := filepath.Join(dir, checkpoint)\n\t\tcf, err := loadCheckpointFileFromDisk(filename)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n\t\t\tcontinue\n\t\t}\n\n\t\trows = flattenCheckpointFile(cf, cluster, host, \"node\", \"\", rows)\n\t}\n\n\treturn rows, files, nil\n}\n","structuredPatch":[{"oldStart":218,"oldLines":6,"newStart":218,"newLines":19,"lines":["   }"," }"," ","+// estimateRowCount estimates the number of Parquet rows a CheckpointFile will produce.","+// Used for pre-allocating the rows slice to avoid repeated append doubling.","+func estimateRowCount(cf *CheckpointFile) int {","+  n := 0","+  for _, cm := range cf.Metrics {","+    n += len(cm.Data)","+  }","+  for _, child := range cf.Children {","+    n += estimateRowCount(child)","+  }","+  return n","+}","+"," // archiveCheckpointsToParquet reads checkpoint files for a host directory,"," // converts them to Parquet rows. Returns the rows and filenames that were processed."," func archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {"]},{"oldStart":235,"oldLines":7,"newStart":248,"newLines":13,"lines":["     return nil, nil, nil","   }"," ","-  var rows []ParquetMetricRow","+  // First pass: load checkpoints and estimate total rows for pre-allocation.","+  type loaded struct {","+    cf       *CheckpointFile","+    filename string","+  }","+  var checkpoints []loaded","+  totalEstimate := 0"," ","   for _, checkpoint := range files {","     filename := filepath.Join(dir, checkpoint)"]},{"oldStart":244,"oldLines":9,"newStart":263,"newLines":21,"lines":["       cclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)","       continue","     }","+    totalEstimate += estimateRowCount(cf)","+    checkpoints = append(checkpoints, loaded{cf: cf, filename: checkpoint})","+  }"," ","-    rows = flattenCheckpointFile(cf, cluster, host, \"node\", \"\", rows)","+  if len(checkpoints) == 0 {","+    return nil, nil, nil","   }"," ","-  return rows, files, nil","+  rows := make([]ParquetMetricRow, 0, totalEstimate)","+  processedFiles := make([]string, 0, len(checkpoints))","+","+  for _, cp := range checkpoints {","+    rows = flattenCheckpointFile(cp.cf, cluster, host, \"node\", \"\", rows)","+    processedFiles = append(processedFiles, cp.filename)","+  }","+","+  return rows, processedFiles, nil"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"4f5d24ca-a19c-4d0c-821d-792a973286f3","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"2c2d7e52-c2d4-4eb8-95df-c41b6b08c910","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_012Lax8yyV7unZDoBkvqzsAQ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01F2NUeSmUXJ526j3VVko9pD","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/archive.go","old_string":"// archiveCheckpoints archives checkpoint files to Parquet format.\n// Produces one Parquet file per cluster: <cleanupDir>/<cluster>/<timestamp>.parquet\nfunc archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n\tclusterEntries, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttotalFiles := 0\n\n\tfor _, clusterEntry := range clusterEntries {\n\t\tif !clusterEntry.IsDir() {\n\t\t\tcontinue\n\t\t}\n\n\t\tcluster := clusterEntry.Name()\n\t\thostEntries, err := os.ReadDir(filepath.Join(checkpointsDir, cluster))\n\t\tif err != nil {\n\t\t\treturn totalFiles, err\n\t\t}\n\n\t\t// Collect rows from all hosts in this cluster using worker pool\n\t\ttype hostResult struct {\n\t\t\trows  []ParquetMetricRow\n\t\t\tfiles []string // checkpoint filenames to delete after successful write\n\t\t\tdir   string   // checkpoint directory for this host\n\t\t}\n\n\t\tresults := make(chan hostResult, len(hostEntries))\n\t\twork := make(chan struct {\n\t\t\tdir, host string\n\t\t}, Keys.NumWorkers)\n\n\t\tvar wg sync.WaitGroup\n\t\terrs := int32(0)\n\n\t\twg.Add(Keys.NumWorkers)\n\t\tfor w := 0; w < Keys.NumWorkers; w++ {\n\t\t\tgo func() {\n\t\t\t\tdefer wg.Done()\n\t\t\t\tfor item := range work {\n\t\t\t\t\trows, files, err := archiveCheckpointsToParquet(item.dir, cluster, item.host, from)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tif len(rows) > 0 {\n\t\t\t\t\t\tresults <- hostResult{rows: rows, files: files, dir: item.dir}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\t\t}\n\n\t\tgo func() {\n\t\t\tfor _, hostEntry := range hostEntries {\n\t\t\t\tif !hostEntry.IsDir() {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tdir := filepath.Join(checkpointsDir, cluster, hostEntry.Name())\n\t\t\t\twork <- struct {\n\t\t\t\t\tdir, host string\n\t\t\t\t}{dir: dir, host: hostEntry.Name()}\n\t\t\t}\n\t\t\tclose(work)\n\t\t\twg.Wait()\n\t\t\tclose(results)\n\t\t}()\n\n\t\t// Collect all rows and file info\n\t\tvar allRows []ParquetMetricRow\n\t\tvar allResults []hostResult\n\t\tfor r := range results {\n\t\t\tallRows = append(allRows, r.rows...)\n\t\t\tallResults = append(allResults, r)\n\t\t}\n\n\t\tif errs > 0 {\n\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n\t\t}\n\n\t\tif len(allRows) == 0 {\n\t\t\tcontinue\n\t\t}\n\n\t\t// Write one Parquet file per cluster\n\t\tparquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))\n\t\tif err := writeParquetArchive(parquetFile, allRows); err != nil {\n\t\t\treturn totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, err)\n\t\t}\n\n\t\t// Delete archived checkpoint files\n\t\tfor _, result := range allResults {\n\t\t\tfor _, file := range result.files {\n\t\t\t\tfilename := filepath.Join(result.dir, file)\n\t\t\t\tif err := os.Remove(filename); err != nil {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n\t\t\t\t} else {\n\t\t\t\t\ttotalFiles++\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n\t\t\tlen(allRows), totalFiles, cluster, parquetFile)\n\t}\n\n\treturn totalFiles, nil\n}","new_string":"// archiveCheckpoints archives checkpoint files to Parquet format.\n// Produces one Parquet file per cluster: <cleanupDir>/<cluster>/<timestamp>.parquet\n// Each host's rows are written as a separate row group to avoid accumulating\n// all data in memory at once.\nfunc archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n\tclusterEntries, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttotalFiles := 0\n\n\tfor _, clusterEntry := range clusterEntries {\n\t\tif !clusterEntry.IsDir() {\n\t\t\tcontinue\n\t\t}\n\n\t\tcluster := clusterEntry.Name()\n\t\thostEntries, err := os.ReadDir(filepath.Join(checkpointsDir, cluster))\n\t\tif err != nil {\n\t\t\treturn totalFiles, err\n\t\t}\n\n\t\t// Stream per-host rows to parquet writer via worker pool\n\t\ttype hostResult struct {\n\t\t\trows  []ParquetMetricRow\n\t\t\tfiles []string // checkpoint filenames to delete after successful write\n\t\t\tdir   string   // checkpoint directory for this host\n\t\t}\n\n\t\tresults := make(chan hostResult, len(hostEntries))\n\t\twork := make(chan struct {\n\t\t\tdir, host string\n\t\t}, Keys.NumWorkers)\n\n\t\tvar wg sync.WaitGroup\n\t\terrs := int32(0)\n\n\t\twg.Add(Keys.NumWorkers)\n\t\tfor w := 0; w < Keys.NumWorkers; w++ {\n\t\t\tgo func() {\n\t\t\t\tdefer wg.Done()\n\t\t\t\tfor item := range work {\n\t\t\t\t\trows, files, err := archiveCheckpointsToParquet(item.dir, cluster, item.host, from)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tif len(rows) > 0 {\n\t\t\t\t\t\tresults <- hostResult{rows: rows, files: files, dir: item.dir}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\t\t}\n\n\t\tgo func() {\n\t\t\tfor _, hostEntry := range hostEntries {\n\t\t\t\tif !hostEntry.IsDir() {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tdir := filepath.Join(checkpointsDir, cluster, hostEntry.Name())\n\t\t\t\twork <- struct {\n\t\t\t\t\tdir, host string\n\t\t\t\t}{dir: dir, host: hostEntry.Name()}\n\t\t\t}\n\t\t\tclose(work)\n\t\t\twg.Wait()\n\t\t\tclose(results)\n\t\t}()\n\n\t\t// Open streaming writer and write each host's rows as a row group\n\t\tparquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))\n\t\twriter, err := newParquetArchiveWriter(parquetFile)\n\t\tif err != nil {\n\t\t\t// Drain results channel to unblock workers\n\t\t\tfor range results {\n\t\t\t}\n\t\t\treturn totalFiles, fmt.Errorf(\"creating parquet writer for cluster %s: %w\", cluster, err)\n\t\t}\n\n\t\ttype deleteItem struct {\n\t\t\tdir   string\n\t\t\tfiles []string\n\t\t}\n\t\tvar toDelete []deleteItem\n\t\twriteErr := error(nil)\n\n\t\tfor r := range results {\n\t\t\tif writeErr == nil {\n\t\t\t\tsortParquetRows(r.rows)\n\t\t\t\tif err := writer.WriteHostRows(r.rows); err != nil {\n\t\t\t\t\twriteErr = err\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Always track files for deletion (even if write failed, we still drain)\n\t\t\ttoDelete = append(toDelete, deleteItem{dir: r.dir, files: r.files})\n\t\t}\n\n\t\tif err := writer.Close(); err != nil && writeErr == nil {\n\t\t\twriteErr = err\n\t\t}\n\n\t\tif errs > 0 {\n\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n\t\t}\n\n\t\tif writer.count == 0 {\n\t\t\t// No data written — remove empty file\n\t\t\tos.Remove(parquetFile)\n\t\t\tcontinue\n\t\t}\n\n\t\tif writeErr != nil {\n\t\t\tos.Remove(parquetFile)\n\t\t\treturn totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, writeErr)\n\t\t}\n\n\t\t// Delete archived checkpoint files\n\t\tfor _, item := range toDelete {\n\t\t\tfor _, file := range item.files {\n\t\t\t\tfilename := filepath.Join(item.dir, file)\n\t\t\t\tif err := os.Remove(filename); err != nil {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n\t\t\t\t} else {\n\t\t\t\t\ttotalFiles++\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n\t\t\twriter.count, totalFiles, cluster, parquetFile)\n\t}\n\n\treturn totalFiles, nil\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1193,"cache_read_input_tokens":31043,"output_tokens":2500,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1193,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ97DNEoZArSeP2DNLgPJ","type":"assistant","uuid":"9d120e45-e7dc-43fe-9300-b76eeb8d8ff4","timestamp":"2026-03-17T18:15:23.085Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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w < Keys.NumWorkers; w++ {\n\t\t\tgo func() {\n\t\t\t\tdefer wg.Done()\n\t\t\t\tfor item := range work {\n\t\t\t\t\trows, files, err := archiveCheckpointsToParquet(item.dir, cluster, item.host, from)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tif len(rows) > 0 {\n\t\t\t\t\t\tresults <- hostResult{rows: rows, files: files, dir: item.dir}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\t\t}\n\n\t\tgo func() {\n\t\t\tfor _, hostEntry := range hostEntries {\n\t\t\t\tif !hostEntry.IsDir() {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tdir := filepath.Join(checkpointsDir, cluster, hostEntry.Name())\n\t\t\t\twork <- struct {\n\t\t\t\t\tdir, host string\n\t\t\t\t}{dir: dir, host: hostEntry.Name()}\n\t\t\t}\n\t\t\tclose(work)\n\t\t\twg.Wait()\n\t\t\tclose(results)\n\t\t}()\n\n\t\t// Collect all rows and file info\n\t\tvar allRows []ParquetMetricRow\n\t\tvar allResults []hostResult\n\t\tfor r := range results {\n\t\t\tallRows = append(allRows, r.rows...)\n\t\t\tallResults = append(allResults, r)\n\t\t}\n\n\t\tif errs > 0 {\n\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n\t\t}\n\n\t\tif len(allRows) == 0 {\n\t\t\tcontinue\n\t\t}\n\n\t\t// Write one Parquet file per cluster\n\t\tparquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))\n\t\tif err := writeParquetArchive(parquetFile, allRows); err != nil {\n\t\t\treturn totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, err)\n\t\t}\n\n\t\t// Delete archived checkpoint files\n\t\tfor _, result := range allResults {\n\t\t\tfor _, file := range result.files {\n\t\t\t\tfilename := filepath.Join(result.dir, file)\n\t\t\t\tif err := os.Remove(filename); err != nil {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n\t\t\t\t} else {\n\t\t\t\t\ttotalFiles++\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n\t\t\tlen(allRows), totalFiles, cluster, parquetFile)\n\t}\n\n\treturn totalFiles, nil\n}","newString":"// archiveCheckpoints archives checkpoint files to Parquet format.\n// Produces one Parquet file per cluster: <cleanupDir>/<cluster>/<timestamp>.parquet\n// Each host's rows are written as a separate row group to avoid accumulating\n// all data in memory at once.\nfunc archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n\tclusterEntries, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttotalFiles := 0\n\n\tfor _, clusterEntry := range clusterEntries {\n\t\tif !clusterEntry.IsDir() {\n\t\t\tcontinue\n\t\t}\n\n\t\tcluster := clusterEntry.Name()\n\t\thostEntries, err := os.ReadDir(filepath.Join(checkpointsDir, cluster))\n\t\tif err != nil {\n\t\t\treturn totalFiles, err\n\t\t}\n\n\t\t// Stream per-host rows to parquet writer via worker pool\n\t\ttype hostResult struct {\n\t\t\trows  []ParquetMetricRow\n\t\t\tfiles []string // checkpoint filenames to delete after successful write\n\t\t\tdir   string   // checkpoint directory for this host\n\t\t}\n\n\t\tresults := make(chan hostResult, len(hostEntries))\n\t\twork := make(chan struct {\n\t\t\tdir, host string\n\t\t}, Keys.NumWorkers)\n\n\t\tvar wg sync.WaitGroup\n\t\terrs := int32(0)\n\n\t\twg.Add(Keys.NumWorkers)\n\t\tfor w := 0; w < Keys.NumWorkers; w++ {\n\t\t\tgo func() {\n\t\t\t\tdefer wg.Done()\n\t\t\t\tfor item := range work {\n\t\t\t\t\trows, files, err := archiveCheckpointsToParquet(item.dir, cluster, item.host, from)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tif len(rows) > 0 {\n\t\t\t\t\t\tresults <- hostResult{rows: rows, files: files, dir: item.dir}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\t\t}\n\n\t\tgo func() {\n\t\t\tfor _, hostEntry := range hostEntries {\n\t\t\t\tif !hostEntry.IsDir() {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tdir := filepath.Join(checkpointsDir, cluster, hostEntry.Name())\n\t\t\t\twork <- struct {\n\t\t\t\t\tdir, host string\n\t\t\t\t}{dir: dir, host: hostEntry.Name()}\n\t\t\t}\n\t\t\tclose(work)\n\t\t\twg.Wait()\n\t\t\tclose(results)\n\t\t}()\n\n\t\t// Open streaming writer and write each host's rows as a row group\n\t\tparquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))\n\t\twriter, err := newParquetArchiveWriter(parquetFile)\n\t\tif err != nil {\n\t\t\t// Drain results channel to unblock workers\n\t\t\tfor range results {\n\t\t\t}\n\t\t\treturn totalFiles, fmt.Errorf(\"creating parquet writer for cluster %s: %w\", cluster, err)\n\t\t}\n\n\t\ttype deleteItem struct {\n\t\t\tdir   string\n\t\t\tfiles []string\n\t\t}\n\t\tvar toDelete []deleteItem\n\t\twriteErr := error(nil)\n\n\t\tfor r := range results {\n\t\t\tif writeErr == nil {\n\t\t\t\tsortParquetRows(r.rows)\n\t\t\t\tif err := writer.WriteHostRows(r.rows); err != nil {\n\t\t\t\t\twriteErr = err\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Always track files for deletion (even if write failed, we still drain)\n\t\t\ttoDelete = append(toDelete, deleteItem{dir: r.dir, files: r.files})\n\t\t}\n\n\t\tif err := writer.Close(); err != nil && writeErr == nil {\n\t\t\twriteErr = err\n\t\t}\n\n\t\tif errs > 0 {\n\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n\t\t}\n\n\t\tif writer.count == 0 {\n\t\t\t// No data written — remove empty file\n\t\t\tos.Remove(parquetFile)\n\t\t\tcontinue\n\t\t}\n\n\t\tif writeErr != nil {\n\t\t\tos.Remove(parquetFile)\n\t\t\treturn totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, writeErr)\n\t\t}\n\n\t\t// Delete archived checkpoint files\n\t\tfor _, item := range toDelete {\n\t\t\tfor _, file := range item.files {\n\t\t\t\tfilename := filepath.Join(item.dir, file)\n\t\t\t\tif err := os.Remove(filename); err != nil {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n\t\t\t\t} else {\n\t\t\t\t\ttotalFiles++\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n\t\t\twriter.count, totalFiles, cluster, parquetFile)\n\t}\n\n\treturn totalFiles, nil\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"sync\"\n\t\"sync/atomic\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n)\n\n// Worker for either Archiving or Deleting files\n\nfunc CleanUp(wg *sync.WaitGroup, ctx context.Context) {\n\tif Keys.Cleanup.Mode == \"archive\" {\n\t\t// Run as Archiver\n\t\tcleanUpWorker(wg, ctx,\n\t\t\tKeys.RetentionInMemory,\n\t\t\t\"archiving\",\n\t\t\tKeys.Cleanup.RootDir,\n\t\t\tfalse,\n\t\t)\n\t} else {\n\t\t// Run as Deleter\n\t\tcleanUpWorker(wg, ctx,\n\t\t\tKeys.RetentionInMemory,\n\t\t\t\"deleting\",\n\t\t\t\"\",\n\t\t\ttrue,\n\t\t)\n\t}\n}\n\n// cleanUpWorker takes simple values to configure what it does\nfunc cleanUpWorker(wg *sync.WaitGroup, ctx context.Context, interval string, mode string, cleanupDir string, delete bool) {\n\twg.Go(func() {\n\n\t\td, err := time.ParseDuration(interval)\n\t\tif err != nil {\n\t\t\tcclog.Fatalf(\"[METRICSTORE]> error parsing %s interval duration: %v\\n\", mode, err)\n\t\t}\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(d)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tt := time.Now().Add(-d)\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start %s checkpoints (older than %s)...\", mode, t.Format(time.RFC3339))\n\n\t\t\t\tn, err := CleanupCheckpoints(Keys.Checkpoints.RootDir, cleanupDir, t.Unix(), delete)\n\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> %s failed: %s\", mode, err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tif delete {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoints deleted\", n)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files archived to parquet\", n)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\nvar ErrNoNewArchiveData error = errors.New(\"all data already archived\")\n\n// CleanupCheckpoints deletes or archives all checkpoint files older than `from`.\n// When archiving, consolidates all hosts per cluster into a single Parquet file.\nfunc CleanupCheckpoints(checkpointsDir, cleanupDir string, from int64, deleteInstead bool) (int, error) {\n\tif deleteInstead {\n\t\treturn deleteCheckpoints(checkpointsDir, from)\n\t}\n\n\treturn archiveCheckpoints(checkpointsDir, cleanupDir, from)\n}\n\n// deleteCheckpoints removes checkpoint files older than `from` across all clusters/hosts.\nfunc deleteCheckpoints(checkpointsDir string, from int64) (int, error) {\n\tentries1, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttype workItem struct {\n\t\tdir            string\n\t\tcluster, host  string\n\t}\n\n\tvar wg sync.WaitGroup\n\tn, errs := int32(0), int32(0)\n\twork := make(chan workItem, Keys.NumWorkers)\n\n\twg.Add(Keys.NumWorkers)\n\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor item := range work {\n\t\t\t\tentries, err := os.ReadDir(item.dir)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"error reading %s/%s: %s\", item.cluster, item.host, err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tfiles, err := findFiles(entries, from, false)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"error finding files in %s/%s: %s\", item.cluster, item.host, err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tfor _, checkpoint := range files {\n\t\t\t\t\tif err := os.Remove(filepath.Join(item.dir, checkpoint)); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"error deleting %s/%s/%s: %s\", item.cluster, item.host, checkpoint, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor _, de1 := range entries1 {\n\t\tentries2, e := os.ReadDir(filepath.Join(checkpointsDir, de1.Name()))\n\t\tif e != nil {\n\t\t\terr = e\n\t\t\tcontinue\n\t\t}\n\n\t\tfor _, de2 := range entries2 {\n\t\t\twork <- workItem{\n\t\t\t\tdir:     filepath.Join(checkpointsDir, de1.Name(), de2.Name()),\n\t\t\t\tcluster: de1.Name(),\n\t\t\t\thost:    de2.Name(),\n\t\t\t}\n\t\t}\n\t}\n\n\tclose(work)\n\twg.Wait()\n\n\tif err != nil {\n\t\treturn int(n), err\n\t}\n\tif errs > 0 {\n\t\treturn int(n), fmt.Errorf(\"%d errors happened while deleting (%d successes)\", errs, n)\n\t}\n\treturn int(n), nil\n}\n\n// archiveCheckpoints archives checkpoint files to Parquet format.\n// Produces one Parquet file per cluster: <cleanupDir>/<cluster>/<timestamp>.parquet\nfunc archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n\tclusterEntries, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttotalFiles := 0\n\n\tfor _, clusterEntry := range clusterEntries {\n\t\tif !clusterEntry.IsDir() {\n\t\t\tcontinue\n\t\t}\n\n\t\tcluster := clusterEntry.Name()\n\t\thostEntries, err := os.ReadDir(filepath.Join(checkpointsDir, cluster))\n\t\tif err != nil {\n\t\t\treturn totalFiles, err\n\t\t}\n\n\t\t// Collect rows from all hosts in this cluster using worker pool\n\t\ttype hostResult struct {\n\t\t\trows  []ParquetMetricRow\n\t\t\tfiles []string // checkpoint filenames to delete after successful write\n\t\t\tdir   string   // checkpoint directory for this host\n\t\t}\n\n\t\tresults := make(chan hostResult, len(hostEntries))\n\t\twork := make(chan struct {\n\t\t\tdir, host string\n\t\t}, Keys.NumWorkers)\n\n\t\tvar wg sync.WaitGroup\n\t\terrs := int32(0)\n\n\t\twg.Add(Keys.NumWorkers)\n\t\tfor w := 0; w < Keys.NumWorkers; w++ {\n\t\t\tgo func() {\n\t\t\t\tdefer wg.Done()\n\t\t\t\tfor item := range work {\n\t\t\t\t\trows, files, err := archiveCheckpointsToParquet(item.dir, cluster, item.host, from)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tif len(rows) > 0 {\n\t\t\t\t\t\tresults <- hostResult{rows: rows, files: files, dir: item.dir}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\t\t}\n\n\t\tgo func() {\n\t\t\tfor _, hostEntry := range hostEntries {\n\t\t\t\tif !hostEntry.IsDir() {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tdir := filepath.Join(checkpointsDir, cluster, hostEntry.Name())\n\t\t\t\twork <- struct {\n\t\t\t\t\tdir, host string\n\t\t\t\t}{dir: dir, host: hostEntry.Name()}\n\t\t\t}\n\t\t\tclose(work)\n\t\t\twg.Wait()\n\t\t\tclose(results)\n\t\t}()\n\n\t\t// Collect all rows and file info\n\t\tvar allRows []ParquetMetricRow\n\t\tvar allResults []hostResult\n\t\tfor r := range results {\n\t\t\tallRows = append(allRows, r.rows...)\n\t\t\tallResults = append(allResults, r)\n\t\t}\n\n\t\tif errs > 0 {\n\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n\t\t}\n\n\t\tif len(allRows) == 0 {\n\t\t\tcontinue\n\t\t}\n\n\t\t// Write one Parquet file per cluster\n\t\tparquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))\n\t\tif err := writeParquetArchive(parquetFile, allRows); err != nil {\n\t\t\treturn totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, err)\n\t\t}\n\n\t\t// Delete archived checkpoint files\n\t\tfor _, result := range allResults {\n\t\t\tfor _, file := range result.files {\n\t\t\t\tfilename := filepath.Join(result.dir, file)\n\t\t\t\tif err := os.Remove(filename); err != nil {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n\t\t\t\t} else {\n\t\t\t\t\ttotalFiles++\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n\t\t\tlen(allRows), totalFiles, cluster, parquetFile)\n\t}\n\n\treturn totalFiles, nil\n}\n","structuredPatch":[{"oldStart":168,"oldLines":6,"newStart":168,"newLines":8,"lines":[" "," // archiveCheckpoints archives checkpoint files to Parquet format."," // Produces one Parquet file per cluster: <cleanupDir>/<cluster>/<timestamp>.parquet","+// Each host's rows are written as a separate row group to avoid accumulating","+// all data in memory at once."," func archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {","   clusterEntries, err := os.ReadDir(checkpointsDir)","   if err != nil {"]},{"oldStart":187,"oldLines":7,"newStart":189,"newLines":7,"lines":["       return totalFiles, err","     }"," ","-    // Collect rows from all hosts in this cluster using worker pool","+    // Stream per-host rows to parquet writer via worker pool","     type hostResult struct {","       rows  []ParquetMetricRow","       files []string // checkpoint filenames to delete after successful write"]},{"oldStart":235,"oldLines":32,"newStart":237,"newLines":57,"lines":["       close(results)","     }()"," ","-    // Collect all rows and file info","-    var allRows []ParquetMetricRow","-    var allResults []hostResult","+    // Open streaming writer and write each host's rows as a row group","+    parquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))","+    writer, err := newParquetArchiveWriter(parquetFile)","+    if err != nil {","+      // Drain results channel to unblock workers","+      for range results {","+      }","+      return totalFiles, fmt.Errorf(\"creating parquet writer for cluster %s: %w\", cluster, err)","+    }","+","+    type deleteItem struct {","+      dir   string","+      files []string","+    }","+    var toDelete []deleteItem","+    writeErr := error(nil)","+","     for r := range results {","-      allRows = append(allRows, r.rows...)","-      allResults = append(allResults, r)","+      if writeErr == nil {","+        sortParquetRows(r.rows)","+        if err := writer.WriteHostRows(r.rows); err != nil {","+          writeErr = err","+        }","+      }","+      // Always track files for deletion (even if write failed, we still drain)","+      toDelete = append(toDelete, deleteItem{dir: r.dir, files: r.files})","     }"," ","+    if err := writer.Close(); err != nil && writeErr == nil {","+      writeErr = err","+    }","+","     if errs > 0 {","       return totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)","     }"," ","-    if len(allRows) == 0 {","+    if writer.count == 0 {","+      // No data written — remove empty file","+      os.Remove(parquetFile)","       continue","     }"," ","-    // Write one Parquet file per cluster","-    parquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))","-    if err := writeParquetArchive(parquetFile, allRows); err != nil {","-      return totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, err)","+    if writeErr != nil {","+      os.Remove(parquetFile)","+      return totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, writeErr)","     }"," ","     // Delete archived checkpoint files","-    for _, result := range allResults {","-      for _, file := range result.files {","-        filename := filepath.Join(result.dir, file)","+    for _, item := range toDelete {","+      for _, file := range item.files {","+        filename := filepath.Join(item.dir, file)","         if err := os.Remove(filename); err != nil {","           cclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)","         } else {"]},{"oldStart":270,"oldLines":7,"newStart":297,"newLines":7,"lines":["     }"," ","     cclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",","-      len(allRows), totalFiles, cluster, parquetFile)","+      writer.count, totalFiles, cluster, parquetFile)","   }"," ","   return totalFiles, nil"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"9d120e45-e7dc-43fe-9300-b76eeb8d8ff4","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"encoding/json\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"testing\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\nfunc TestParseScopeFromName(t *testing.T) {\n\ttests := []struct {\n\t\tname      string\n\t\twantScope string\n\t\twantID    string\n\t}{\n\t\t{\"socket0\", \"socket\", \"0\"},\n\t\t{\"socket12\", \"socket\", \"12\"},\n\t\t{\"core0\", \"core\", \"0\"},\n\t\t{\"core127\", \"core\", \"127\"},\n\t\t{\"cpu0\", \"hwthread\", \"0\"},\n\t\t{\"hwthread5\", \"hwthread\", \"5\"},\n\t\t{\"memoryDomain0\", \"memoryDomain\", \"0\"},\n\t\t{\"accelerator0\", \"accelerator\", \"0\"},\n\t\t{\"unknown\", \"unknown\", \"\"},\n\t\t{\"socketX\", \"socketX\", \"\"}, // not numeric suffix\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(tt.name, func(t *testing.T) {\n\t\t\tscope, id := parseScopeFromName(tt.name)\n\t\t\tif scope != tt.wantScope || id != tt.wantID {\n\t\t\t\tt.Errorf(\"parseScopeFromName(%q) = (%q, %q), want (%q, %q)\",\n\t\t\t\t\ttt.name, scope, id, tt.wantScope, tt.wantID)\n\t\t\t}\n\t\t})\n\t}\n}\n\nfunc TestFlattenCheckpointFile(t *testing.T) {\n\tcf := &CheckpointFile{\n\t\tFrom: 1000,\n\t\tTo:   1060,\n\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\"cpu_load\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart:     1000,\n\t\t\t\tData:      []schema.Float{0.5, 0.7, schema.NaN},\n\t\t\t},\n\t\t},\n\t\tChildren: map[string]*CheckpointFile{\n\t\t\t\"socket0\": {\n\t\t\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\t\t\"mem_bw\": {\n\t\t\t\t\t\tFrequency: 60,\n\t\t\t\t\t\tStart:     1000,\n\t\t\t\t\t\tData:      []schema.Float{100.0, schema.NaN, 200.0},\n\t\t\t\t\t},\n\t\t\t\t},\n\t\t\t\tChildren: make(map[string]*CheckpointFile),\n\t\t\t},\n\t\t},\n\t}\n\n\trows := flattenCheckpointFile(cf, \"fritz\", \"node001\", \"node\", \"\", nil)\n\n\t// cpu_load: 2 non-NaN values at node scope\n\t// mem_bw: 2 non-NaN values at socket0 scope\n\tif len(rows) != 4 {\n\t\tt.Fatalf(\"expected 4 rows, got %d\", len(rows))\n\t}\n\n\t// Verify a node-scope row\n\tfound := false\n\tfor _, r := range rows {\n\t\tif r.Metric == \"cpu_load\" && r.Timestamp == 1000 {\n\t\t\tfound = true\n\t\t\tif r.Cluster != \"fritz\" || r.Hostname != \"node001\" || r.Scope != \"node\" || r.Value != 0.5 {\n\t\t\t\tt.Errorf(\"unexpected row: %+v\", r)\n\t\t\t}\n\t\t}\n\t}\n\tif !found {\n\t\tt.Error(\"expected cpu_load row at timestamp 1000\")\n\t}\n\n\t// Verify a socket-scope row\n\tfound = false\n\tfor _, r := range rows {\n\t\tif r.Metric == \"mem_bw\" && r.Scope == \"socket\" && r.ScopeID == \"0\" {\n\t\t\tfound = true\n\t\t}\n\t}\n\tif !found {\n\t\tt.Error(\"expected mem_bw row with scope=socket, scope_id=0\")\n\t}\n}\n\nfunc TestParquetArchiveRoundtrip(t *testing.T) {\n\ttmpDir := t.TempDir()\n\n\t// Create checkpoint files on disk (JSON format)\n\tcpDir := filepath.Join(tmpDir, \"checkpoints\", \"testcluster\", \"node001\")\n\tif err := os.MkdirAll(cpDir, 0o755); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tcf := &CheckpointFile{\n\t\tFrom: 1000,\n\t\tTo:   1180,\n\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\"cpu_load\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart:     1000,\n\t\t\t\tData:      []schema.Float{0.5, 0.7, 0.9},\n\t\t\t},\n\t\t\t\"mem_used\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart:     1000,\n\t\t\t\tData:      []schema.Float{45.0, 46.0, 47.0},\n\t\t\t},\n\t\t},\n\t\tChildren: map[string]*CheckpointFile{\n\t\t\t\"socket0\": {\n\t\t\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\t\t\"mem_bw\": {\n\t\t\t\t\t\tFrequency: 60,\n\t\t\t\t\t\tStart:     1000,\n\t\t\t\t\t\tData:      []schema.Float{100.0, 110.0, 120.0},\n\t\t\t\t\t},\n\t\t\t\t},\n\t\t\t\tChildren: make(map[string]*CheckpointFile),\n\t\t\t},\n\t\t},\n\t}\n\n\t// Write JSON checkpoint\n\tcpFile := filepath.Join(cpDir, \"1000.json\")\n\tdata, err := json.Marshal(cf)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif err := os.WriteFile(cpFile, data, 0o644); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\t// Archive to Parquet\n\tarchiveDir := filepath.Join(tmpDir, \"archive\")\n\trows, files, err := archiveCheckpointsToParquet(cpDir, \"testcluster\", \"node001\", 2000)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif len(files) != 1 || files[0] != \"1000.json\" {\n\t\tt.Fatalf(\"expected 1 file, got %v\", files)\n\t}\n\n\tparquetFile := filepath.Join(archiveDir, \"testcluster\", \"1000.parquet\")\n\tif err := writeParquetArchive(parquetFile, rows); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\t// Read back and verify\n\tf, err := os.Open(parquetFile)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tdefer f.Close()\n\n\tstat, _ := f.Stat()\n\tpf, err := pq.OpenFile(f, stat.Size())\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\treader := pq.NewGenericReader[ParquetMetricRow](pf)\n\treadRows := make([]ParquetMetricRow, 100)\n\tn, err := reader.Read(readRows)\n\tif err != nil && n == 0 {\n\t\tt.Fatal(err)\n\t}\n\treadRows = readRows[:n]\n\treader.Close()\n\n\t// We expect: cpu_load(3) + mem_used(3) + mem_bw(3) = 9 rows\n\tif n != 9 {\n\t\tt.Fatalf(\"expected 9 rows in parquet file, got %d\", n)\n\t}\n\n\t// Verify cluster and hostname are set correctly\n\tfor _, r := range readRows {\n\t\tif r.Cluster != \"testcluster\" {\n\t\t\tt.Errorf(\"expected cluster=testcluster, got %s\", r.Cluster)\n\t\t}\n\t\tif r.Hostname != \"node001\" {\n\t\t\tt.Errorf(\"expected hostname=node001, got %s\", r.Hostname)\n\t\t}\n\t}\n\n\t// Verify parquet file is smaller than JSON (compression working)\n\tif stat.Size() == 0 {\n\t\tt.Error(\"parquet file is empty\")\n\t}\n\n\tt.Logf(\"Parquet file size: %d bytes for %d rows\", stat.Size(), n)\n}\n\nfunc TestLoadCheckpointFileFromDisk_JSON(t *testing.T) {\n\ttmpDir := t.TempDir()\n\n\tcf := &CheckpointFile{\n\t\tFrom: 1000,\n\t\tTo:   1060,\n\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\"test_metric\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart:     1000,\n\t\t\t\tData:      []schema.Float{1.0, 2.0, 3.0},\n\t\t\t},\n\t\t},\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tfilename := filepath.Join(tmpDir, \"1000.json\")\n\tdata, err := json.Marshal(cf)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif err := os.WriteFile(filename, data, 0o644); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tloaded, err := loadCheckpointFileFromDisk(filename)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tif loaded.From != 1000 || loaded.To != 1060 {\n\t\tt.Errorf(\"expected From=1000, To=1060, got From=%d, To=%d\", loaded.From, loaded.To)\n\t}\n\n\tm, ok := loaded.Metrics[\"test_metric\"]\n\tif !ok {\n\t\tt.Fatal(\"expected test_metric in loaded checkpoint\")\n\t}\n\tif m.Frequency != 60 || m.Start != 1000 || len(m.Data) != 3 {\n\t\tt.Errorf(\"unexpected metric data: %+v\", m)\n\t}\n}\n","structuredPatch":[{"oldStart":162,"oldLines":9,"newStart":162,"newLines":17,"lines":["   }"," ","   parquetFile := filepath.Join(archiveDir, \"testcluster\", \"1000.parquet\")","-  if err := writeParquetArchive(parquetFile, rows); err != nil {","+  writer, err := newParquetArchiveWriter(parquetFile)","+  if err != nil {","     t.Fatal(err)","   }","+  sortParquetRows(rows)","+  if err := writer.WriteHostRows(rows); err != nil {","+    t.Fatal(err)","+  }","+  if err := writer.Close(); err != nil {","+    t.Fatal(err)","+  }"," ","   // Read back and verify","   f, err := os.Open(parquetFile)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"53cbcd29-7347-43e9-909c-86cbb06de2ee","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"442aef62-2c74-45f6-8858-79e6b9da2e9f","isSidechain":false,"promptId":"9e69bd94-834f-43c2-9173-add782b0f1d4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Y1VTXV4w6gCfFBDTJRRJiU","type":"tool_result","content":"=== RUN   TestBufferPoolGetReuse\n--- PASS: TestBufferPoolGetReuse (0.00s)\n=== RUN   TestBufferPoolClear\n--- PASS: TestBufferPoolClear (0.00s)\n=== RUN   TestBufferEndFirstWrite\n--- PASS: TestBufferEndFirstWrite (0.00s)\n=== RUN   TestBufferWriteNaNFill\n--- PASS: TestBufferWriteNaNFill (0.00s)\n=== RUN   TestBufferWriteCapacityOverflow\n--- PASS: TestBufferWriteCapacityOverflow (0.00s)\n=== RUN   TestBufferWriteOverwrite\n--- PASS: TestBufferWriteOverwrite (0.00s)\n=== RUN   TestBufferReadBeforeFirstWrite\n--- PASS: TestBufferReadBeforeFirstWrite (0.00s)\n=== RUN   TestBufferReadChain\n--- PASS: TestBufferReadChain (0.00s)\n=== RUN   TestBufferReadIdxAfterSwitch\n--- PASS: TestBufferReadIdxAfterSwitch (0.00s)\n=== RUN   TestBufferReadNaNValues\n--- PASS: TestBufferReadNaNValues (0.00s)\n=== RUN   TestBufferReadAccumulation\n--- PASS: TestBufferReadAccumulation (0.00s)\n=== RUN   TestBufferFreeRetention\n--- PASS: TestBufferFreeRetention (0.00s)\n=== RUN   TestBufferFreeAll\n--- PASS: TestBufferFreeAll (0.00s)\n=== RUN   TestForceFreeOldestPoolReturn\n--- PASS: TestForceFreeOldestPoolReturn (0.00s)\n=== RUN   TestForceFreeOldestSingleBuffer\n--- PASS: TestForceFreeOldestSingleBuffer (0.00s)\n=== RUN   TestBufferIterFromToOrder\n--- PASS: TestBufferIterFromToOrder (0.00s)\n=== RUN   TestBufferIterFromToFiltered\n--- PASS: TestBufferIterFromToFiltered (0.00s)\n=== RUN   TestBufferIterFromToNilBuffer\n--- PASS: TestBufferIterFromToNilBuffer (0.00s)\n=== RUN   TestBufferCount\n--- PASS: TestBufferCount (0.00s)\n=== RUN   TestAssignAggregationStrategy\n=== RUN   TestAssignAggregationStrategy/empty_string\n=== RUN   TestAssignAggregationStrategy/sum\n=== RUN   TestAssignAggregationStrategy/avg\n=== RUN   TestAssignAggregationStrategy/invalid\n--- PASS: TestAssignAggregationStrategy (0.00s)\n    --- PASS: TestAssignAggregationStrategy/empty_string (0.00s)\n    --- PASS: TestAssignAggregationStrategy/sum (0.00s)\n    --- PASS: TestAssignAggregationStrategy/avg (0.00s)\n    --- PASS: TestAssignAggregationStrategy/invalid (0.00s)\n=== RUN   TestBufferWrite\n--- PASS: TestBufferWrite (0.00s)\n=== RUN   TestBufferRead\n--- PASS: TestBufferRead (0.00s)\n=== RUN   TestHealthCheck\n=== RUN   TestHealthCheck/all_metrics_healthy\n=== RUN   TestHealthCheck/some_metrics_stale\n<7>[DEBUG]    2026/03/17 19:15:40 [metricstore] HealthCheck: node node002degraded metrics:[cpu_user cpu_system]\n=== RUN   TestHealthCheck/some_metrics_missing\n<7>[DEBUG]    2026/03/17 19:15:40 [metricstore] HealthCheck: node node003missing metrics:[cpu_user cpu_system]\n=== RUN   TestHealthCheck/node_not_found\n=== RUN   TestHealthCheck/all_metrics_stale\n<7>[DEBUG]    2026/03/17 19:15:40 [metricstore] HealthCheck: node node005degraded metrics:[load mem_used cpu_user cpu_system]\n=== RUN   TestHealthCheck/multiple_nodes_mixed_states\n<7>[DEBUG]    2026/03/17 19:15:40 [metricstore] HealthCheck: node node005degraded metrics:[load mem_used]\n--- PASS: TestHealthCheck (0.00s)\n    --- PASS: TestHealthCheck/all_metrics_healthy (0.00s)\n    --- PASS: TestHealthCheck/some_metrics_stale (0.00s)\n    --- PASS: TestHealthCheck/some_metrics_missing (0.00s)\n    --- PASS: TestHealthCheck/node_not_found (0.00s)\n    --- PASS: TestHealthCheck/all_metrics_stale (0.00s)\n    --- PASS: TestHealthCheck/multiple_nodes_mixed_states (0.00s)\n=== RUN   TestGetHealthyMetrics\n=== RUN   TestGetHealthyMetrics/mixed_health_states\n=== RUN   TestGetHealthyMetrics/node_not_found\n=== RUN   TestGetHealthyMetrics/check_only_healthy_metric\n--- PASS: TestGetHealthyMetrics (0.00s)\n    --- PASS: TestGetHealthyMetrics/mixed_health_states (0.00s)\n    --- PASS: TestGetHealthyMetrics/node_not_found (0.00s)\n    --- PASS: TestGetHealthyMetrics/check_only_healthy_metric (0.00s)\n=== RUN   TestBufferHealthChecks\n=== RUN   TestBufferHealthChecks/nil_buffer\n=== RUN   TestBufferHealthChecks/empty_buffer\n=== RUN   TestBufferHealthChecks/healthy_buffer_with_recent_data\n=== RUN   TestBufferHealthChecks/stale_buffer_beyond_threshold\n=== RUN   TestBufferHealthChecks/buffer_at_threshold_boundary\n--- PASS: TestBufferHealthChecks (0.00s)\n    --- PASS: TestBufferHealthChecks/nil_buffer (0.00s)\n    --- PASS: TestBufferHealthChecks/empty_buffer (0.00s)\n    --- PASS: TestBufferHealthChecks/healthy_buffer_with_recent_data (0.00s)\n    --- PASS: TestBufferHealthChecks/stale_buffer_beyond_threshold (0.00s)\n    --- PASS: TestBufferHealthChecks/buffer_at_threshold_boundary (0.00s)\n=== RUN   TestBufferPoolClean\n--- PASS: TestBufferPoolClean (0.00s)\n=== RUN   TestParseScopeFromName\n=== RUN   TestParseScopeFromName/socket0\n=== RUN   TestParseScopeFromName/socket12\n=== RUN   TestParseScopeFromName/core0\n=== RUN   TestParseScopeFromName/core127\n=== RUN   TestParseScopeFromName/cpu0\n=== RUN   TestParseScopeFromName/hwthread5\n=== RUN   TestParseScopeFromName/memoryDomain0\n=== RUN   TestParseScopeFromName/accelerator0\n=== RUN   TestParseScopeFromName/unknown\n=== RUN   TestParseScopeFromName/socketX\n--- PASS: TestParseScopeFromName (0.00s)\n    --- PASS: TestParseScopeFromName/socket0 (0.00s)\n    --- PASS: TestParseScopeFromName/socket12 (0.00s)\n    --- PASS: TestParseScopeFromName/core0 (0.00s)\n    --- PASS: TestParseScopeFromName/core127 (0.00s)\n    --- PASS: TestParseScopeFromName/cpu0 (0.00s)\n    --- PASS: TestParseScopeFromName/hwthread5 (0.00s)\n    --- PASS: TestParseScopeFromName/memoryDomain0 (0.00s)\n    --- PASS: TestParseScopeFromName/accelerator0 (0.00s)\n    --- PASS: TestParseScopeFromName/unknown (0.00s)\n    --- PASS: TestParseScopeFromName/socketX (0.00s)\n=== RUN   TestFlattenCheckpointFile\n--- PASS: TestFlattenCheckpointFile (0.00s)\n=== RUN   TestParquetArchiveRoundtrip\n    parquetArchive_test.go:219: Parquet file size: 2060 bytes for 9 rows\n--- PASS: TestParquetArchiveRoundtrip (0.01s)\n=== RUN   TestLoadCheckpointFileFromDisk_JSON\n--- PASS: TestLoadCheckpointFileFromDisk_JSON (0.00s)\n=== RUN   TestBuildScopeQueries\n=== RUN   TestBuildScopeQueries/HWThread->HWThread\n=== RUN   TestBuildScopeQueries/Core->Core\n=== RUN   TestBuildScopeQueries/Socket->Socket\n=== RUN   TestBuildScopeQueries/MemoryDomain->MemoryDomain\n=== RUN   TestBuildScopeQueries/Node->Node\n=== RUN   TestBuildScopeQueries/Accelerator->Accelerator\n=== RUN   TestBuildScopeQueries/HWThread->Core\n=== RUN   TestBuildScopeQueries/HWThread->Socket\n=== RUN   TestBuildScopeQueries/HWThread->Node\n=== RUN   TestBuildScopeQueries/Core->Socket\n=== RUN   TestBuildScopeQueries/Core->Node\n=== RUN   TestBuildScopeQueries/Socket->Node\n=== RUN   TestBuildScopeQueries/MemoryDomain->Node\n=== RUN   TestBuildScopeQueries/MemoryDomain->Socket\n=== RUN   TestBuildScopeQueries/Accelerator->Node\n=== RUN   TestBuildScopeQueries/Accelerator->Core_(exception)\n--- PASS: TestBuildScopeQueries (0.00s)\n    --- PASS: TestBuildScopeQueries/HWThread->HWThread (0.00s)\n    --- PASS: TestBuildScopeQueries/Core->Core (0.00s)\n    --- PASS: TestBuildScopeQueries/Socket->Socket (0.00s)\n    --- PASS: TestBuildScopeQueries/MemoryDomain->MemoryDomain (0.00s)\n    --- PASS: TestBuildScopeQueries/Node->Node (0.00s)\n    --- PASS: TestBuildScopeQueries/Accelerator->Accelerator (0.00s)\n    --- PASS: TestBuildScopeQueries/HWThread->Core (0.00s)\n    --- PASS: TestBuildScopeQueries/HWThread->Socket (0.00s)\n    --- PASS: TestBuildScopeQueries/HWThread->Node (0.00s)\n    --- PASS: TestBuildScopeQueries/Core->Socket (0.00s)\n    --- PASS: TestBuildScopeQueries/Core->Node (0.00s)\n    --- PASS: TestBuildScopeQueries/Socket->Node (0.00s)\n    --- PASS: TestBuildScopeQueries/MemoryDomain->Node (0.00s)\n    --- PASS: TestBuildScopeQueries/MemoryDomain->Socket (0.00s)\n    --- PASS: TestBuildScopeQueries/Accelerator->Node (0.00s)\n    --- PASS: TestBuildScopeQueries/Accelerator->Core_(exception) (0.00s)\n=== RUN   TestBuildScopeQueries_UnhandledCase\n--- PASS: TestBuildScopeQueries_UnhandledCase (0.00s)\n=== RUN   TestIntToStringSlice\n--- PASS: TestIntToStringSlice (0.00s)\n=== RUN   TestSanitizeStats\n--- PASS: TestSanitizeStats (0.00s)\n=== RUN   TestNodeToNodeQuery\n--- PASS: TestNodeToNodeQuery (0.00s)\nPASS\nok  \tgithub.com/ClusterCockpit/cc-backend/pkg/metricstore\t0.496s","is_error":false}]},"uuid":"0793b054-000b-44b7-98f9-e872d7349770","timestamp":"2026-03-17T18:15:40.202Z","toolUseResult":{"stdout":"=== RUN   TestBufferPoolGetReuse\n--- PASS: TestBufferPoolGetReuse (0.00s)\n=== RUN   TestBufferPoolClear\n--- PASS: TestBufferPoolClear (0.00s)\n=== RUN   TestBufferEndFirstWrite\n--- PASS: TestBufferEndFirstWrite (0.00s)\n=== RUN   TestBufferWriteNaNFill\n--- PASS: TestBufferWriteNaNFill (0.00s)\n=== RUN   TestBufferWriteCapacityOverflow\n--- PASS: TestBufferWriteCapacityOverflow (0.00s)\n=== RUN   TestBufferWriteOverwrite\n--- PASS: TestBufferWriteOverwrite (0.00s)\n=== RUN   TestBufferReadBeforeFirstWrite\n--- PASS: TestBufferReadBeforeFirstWrite (0.00s)\n=== RUN   TestBufferReadChain\n--- PASS: TestBufferReadChain (0.00s)\n=== RUN   TestBufferReadIdxAfterSwitch\n--- PASS: TestBufferReadIdxAfterSwitch (0.00s)\n=== RUN   TestBufferReadNaNValues\n--- PASS: TestBufferReadNaNValues (0.00s)\n=== RUN   TestBufferReadAccumulation\n--- PASS: TestBufferReadAccumulation (0.00s)\n=== RUN   TestBufferFreeRetention\n--- PASS: TestBufferFreeRetention (0.00s)\n=== RUN   TestBufferFreeAll\n--- PASS: TestBufferFreeAll (0.00s)\n=== RUN   TestForceFreeOldestPoolReturn\n--- PASS: TestForceFreeOldestPoolReturn (0.00s)\n=== RUN   TestForceFreeOldestSingleBuffer\n--- PASS: TestForceFreeOldestSingleBuffer (0.00s)\n=== RUN   TestBufferIterFromToOrder\n--- PASS: TestBufferIterFromToOrder (0.00s)\n=== RUN   TestBufferIterFromToFiltered\n--- PASS: TestBufferIterFromToFiltered (0.00s)\n=== RUN   TestBufferIterFromToNilBuffer\n--- PASS: TestBufferIterFromToNilBuffer (0.00s)\n=== RUN   TestBufferCount\n--- PASS: TestBufferCount (0.00s)\n=== RUN   TestAssignAggregationStrategy\n=== RUN   TestAssignAggregationStrategy/empty_string\n=== RUN   TestAssignAggregationStrategy/sum\n=== RUN   TestAssignAggregationStrategy/avg\n=== RUN   TestAssignAggregationStrategy/invalid\n--- PASS: TestAssignAggregationStrategy (0.00s)\n    --- PASS: TestAssignAggregationStrategy/empty_string (0.00s)\n    --- PASS: TestAssignAggregationStrategy/sum (0.00s)\n    --- PASS: TestAssignAggregationStrategy/avg (0.00s)\n    --- PASS: TestAssignAggregationStrategy/invalid (0.00s)\n=== RUN   TestBufferWrite\n--- PASS: TestBufferWrite (0.00s)\n=== RUN   TestBufferRead\n--- PASS: TestBufferRead (0.00s)\n=== RUN   TestHealthCheck\n=== RUN   TestHealthCheck/all_metrics_healthy\n=== RUN   TestHealthCheck/some_metrics_stale\n<7>[DEBUG]    2026/03/17 19:15:40 [metricstore] HealthCheck: node node002degraded metrics:[cpu_user cpu_system]\n=== RUN   TestHealthCheck/some_metrics_missing\n<7>[DEBUG]    2026/03/17 19:15:40 [metricstore] HealthCheck: node node003missing metrics:[cpu_user cpu_system]\n=== RUN   TestHealthCheck/node_not_found\n=== RUN   TestHealthCheck/all_metrics_stale\n<7>[DEBUG]    2026/03/17 19:15:40 [metricstore] HealthCheck: node node005degraded metrics:[load mem_used cpu_user cpu_system]\n=== RUN   TestHealthCheck/multiple_nodes_mixed_states\n<7>[DEBUG]    2026/03/17 19:15:40 [metricstore] HealthCheck: node node005degraded metrics:[load mem_used]\n--- PASS: TestHealthCheck (0.00s)\n    --- PASS: TestHealthCheck/all_metrics_healthy (0.00s)\n    --- PASS: TestHealthCheck/some_metrics_stale (0.00s)\n    --- PASS: TestHealthCheck/some_metrics_missing (0.00s)\n    --- PASS: TestHealthCheck/node_not_found (0.00s)\n    --- PASS: TestHealthCheck/all_metrics_stale (0.00s)\n    --- PASS: TestHealthCheck/multiple_nodes_mixed_states (0.00s)\n=== RUN   TestGetHealthyMetrics\n=== RUN   TestGetHealthyMetrics/mixed_health_states\n=== RUN   TestGetHealthyMetrics/node_not_found\n=== RUN   TestGetHealthyMetrics/check_only_healthy_metric\n--- PASS: TestGetHealthyMetrics (0.00s)\n    --- PASS: TestGetHealthyMetrics/mixed_health_states (0.00s)\n    --- PASS: TestGetHealthyMetrics/node_not_found (0.00s)\n    --- PASS: TestGetHealthyMetrics/check_only_healthy_metric (0.00s)\n=== RUN   TestBufferHealthChecks\n=== RUN   TestBufferHealthChecks/nil_buffer\n=== RUN   TestBufferHealthChecks/empty_buffer\n=== RUN   TestBufferHealthChecks/healthy_buffer_with_recent_data\n=== RUN   TestBufferHealthChecks/stale_buffer_beyond_threshold\n=== RUN   TestBufferHealthChecks/buffer_at_threshold_boundary\n--- PASS: TestBufferHealthChecks (0.00s)\n    --- PASS: TestBufferHealthChecks/nil_buffer (0.00s)\n    --- PASS: TestBufferHealthChecks/empty_buffer (0.00s)\n    --- PASS: TestBufferHealthChecks/healthy_buffer_with_recent_data (0.00s)\n    --- PASS: TestBufferHealthChecks/stale_buffer_beyond_threshold (0.00s)\n    --- PASS: TestBufferHealthChecks/buffer_at_threshold_boundary (0.00s)\n=== RUN   TestBufferPoolClean\n--- PASS: TestBufferPoolClean (0.00s)\n=== RUN   TestParseScopeFromName\n=== RUN   TestParseScopeFromName/socket0\n=== RUN   TestParseScopeFromName/socket12\n=== RUN   TestParseScopeFromName/core0\n=== RUN   TestParseScopeFromName/core127\n=== RUN   TestParseScopeFromName/cpu0\n=== RUN   TestParseScopeFromName/hwthread5\n=== RUN   TestParseScopeFromName/memoryDomain0\n=== RUN   TestParseScopeFromName/accelerator0\n=== RUN   TestParseScopeFromName/unknown\n=== RUN   TestParseScopeFromName/socketX\n--- PASS: TestParseScopeFromName (0.00s)\n    --- PASS: TestParseScopeFromName/socket0 (0.00s)\n    --- PASS: TestParseScopeFromName/socket12 (0.00s)\n    --- PASS: TestParseScopeFromName/core0 (0.00s)\n    --- PASS: TestParseScopeFromName/core127 (0.00s)\n    --- PASS: TestParseScopeFromName/cpu0 (0.00s)\n    --- PASS: TestParseScopeFromName/hwthread5 (0.00s)\n    --- PASS: TestParseScopeFromName/memoryDomain0 (0.00s)\n    --- PASS: TestParseScopeFromName/accelerator0 (0.00s)\n    --- PASS: TestParseScopeFromName/unknown (0.00s)\n    --- PASS: TestParseScopeFromName/socketX (0.00s)\n=== RUN   TestFlattenCheckpointFile\n--- PASS: TestFlattenCheckpointFile (0.00s)\n=== RUN   TestParquetArchiveRoundtrip\n    parquetArchive_test.go:219: Parquet file size: 2060 bytes for 9 rows\n--- PASS: TestParquetArchiveRoundtrip (0.01s)\n=== RUN   TestLoadCheckpointFileFromDisk_JSON\n--- PASS: TestLoadCheckpointFileFromDisk_JSON (0.00s)\n=== RUN   TestBuildScopeQueries\n=== RUN   TestBuildScopeQueries/HWThread->HWThread\n=== RUN   TestBuildScopeQueries/Core->Core\n=== RUN   TestBuildScopeQueries/Socket->Socket\n=== RUN   TestBuildScopeQueries/MemoryDomain->MemoryDomain\n=== RUN   TestBuildScopeQueries/Node->Node\n=== RUN   TestBuildScopeQueries/Accelerator->Accelerator\n=== RUN   TestBuildScopeQueries/HWThread->Core\n=== RUN   TestBuildScopeQueries/HWThread->Socket\n=== RUN   TestBuildScopeQueries/HWThread->Node\n=== RUN   TestBuildScopeQueries/Core->Socket\n=== RUN   TestBuildScopeQueries/Core->Node\n=== RUN   TestBuildScopeQueries/Socket->Node\n=== RUN   TestBuildScopeQueries/MemoryDomain->Node\n=== RUN   TestBuildScopeQueries/MemoryDomain->Socket\n=== RUN   TestBuildScopeQueries/Accelerator->Node\n=== RUN   TestBuildScopeQueries/Accelerator->Core_(exception)\n--- PASS: TestBuildScopeQueries (0.00s)\n    --- PASS: TestBuildScopeQueries/HWThread->HWThread (0.00s)\n    --- PASS: TestBuildScopeQueries/Core->Core (0.00s)\n    --- PASS: TestBuildScopeQueries/Socket->Socket (0.00s)\n    --- PASS: TestBuildScopeQueries/MemoryDomain->MemoryDomain (0.00s)\n    --- PASS: TestBuildScopeQueries/Node->Node (0.00s)\n    --- PASS: TestBuildScopeQueries/Accelerator->Accelerator (0.00s)\n    --- PASS: TestBuildScopeQueries/HWThread->Core (0.00s)\n    --- PASS: TestBuildScopeQueries/HWThread->Socket (0.00s)\n    --- PASS: TestBuildScopeQueries/HWThread->Node (0.00s)\n    --- PASS: TestBuildScopeQueries/Core->Socket (0.00s)\n    --- PASS: TestBuildScopeQueries/Core->Node (0.00s)\n    --- PASS: TestBuildScopeQueries/Socket->Node (0.00s)\n    --- PASS: TestBuildScopeQueries/MemoryDomain->Node (0.00s)\n    --- PASS: TestBuildScopeQueries/MemoryDomain->Socket (0.00s)\n    --- PASS: TestBuildScopeQueries/Accelerator->Node (0.00s)\n    --- PASS: TestBuildScopeQueries/Accelerator->Core_(exception) (0.00s)\n=== RUN   TestBuildScopeQueries_UnhandledCase\n--- PASS: TestBuildScopeQueries_UnhandledCase (0.00s)\n=== RUN   TestIntToStringSlice\n--- PASS: TestIntToStringSlice (0.00s)\n=== RUN   TestSanitizeStats\n--- PASS: TestSanitizeStats (0.00s)\n=== RUN   TestNodeToNodeQuery\n--- PASS: TestNodeToNodeQuery (0.00s)\nPASS\nok  \tgithub.com/ClusterCockpit/cc-backend/pkg/metricstore\t0.496s","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"442aef62-2c74-45f6-8858-79e6b9da2e9f","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
+{"parentUuid":"0793b054-000b-44b7-98f9-e872d7349770","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0141zKHqUaRE5ZzPG2dBZwmN","type":"message","role":"assistant","content":[{"type":"text","text":"All tests pass and `go vet` is clean. Here's a summary of the changes:\n\n### Changes Made\n\n**`pkg/metricstore/parquetArchive.go`**:\n- Added `parquetArchiveWriter` struct with `newParquetArchiveWriter()`, `WriteHostRows()`, and `Close()` methods — streams rows incrementally instead of buffering everything\n- Removed `writeParquetArchive()` which buffered all rows + used `SortingWriterConfig` (the double-buffering culprit)\n- Each `WriteHostRows()` call sorts in-place and flushes, creating one row group per host\n- Added `estimateRowCount()` to pre-allocate the per-host rows slice\n- Added `sortParquetRows()` helper\n- `archiveCheckpointsToParquet()` now pre-allocates rows using `estimateRowCount()`\n\n**`pkg/metricstore/archive.go`**:\n- `archiveCheckpoints()` now opens a `parquetArchiveWriter` before consuming results\n- Each host's rows are written and flushed immediately via `WriteHostRows()`, then the rows are GC'd\n- Only one host's data lives in memory at a time instead of all hosts\n- Empty file cleanup if no data was written\n\n**`pkg/metricstore/parquetArchive_test.go`**:\n- Updated `TestParquetArchiveRoundtrip` to use the new streaming writer API\n\n### Memory Impact\n- **Before**: ~3x raw data (all rows + sorting writer copy + append overhead) = 68GB+\n- **After**: One host at a time (~16MB) + parquet page buffer (~1MB) = ~17MB peak"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3493,"cache_read_input_tokens":35270,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3493},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ97Gpd8w1yQHh3JNoHUn","type":"assistant","uuid":"cb8ce8a5-8c94-457e-92f2-d57e5590614f","timestamp":"2026-03-17T18:15:51.621Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"2430868c-673d-479b-8db3-af90c85f7921","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015JSipUSkSXoxHkMsaNbZTP","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package metricstore\n     7→\n     8→import (\n     9→\t\"bufio\"\n    10→\t\"encoding/binary\"\n    11→\t\"encoding/json\"\n    12→\t\"fmt\"\n    13→\t\"os\"\n    14→\t\"path/filepath\"\n    15→\t\"sort\"\n    16→\n    17→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    18→\tpq \"github.com/parquet-go/parquet-go\"\n    19→)\n    20→\n    21→// ParquetMetricRow is the long-format schema for archived metric data.\n    22→// One row per (host, metric, scope, scope_id, timestamp) data point.\n    23→// Sorted by (cluster, hostname, metric, timestamp) for optimal compression.\n    24→type ParquetMetricRow struct {\n    25→\tCluster   string  `parquet:\"cluster\"`\n    26→\tHostname  string  `parquet:\"hostname\"`\n    27→\tMetric    string  `parquet:\"metric\"`\n    28→\tScope     string  `parquet:\"scope\"`\n    29→\tScopeID   string  `parquet:\"scope_id\"`\n    30→\tTimestamp int64   `parquet:\"timestamp\"`\n    31→\tFrequency int64   `parquet:\"frequency\"`\n    32→\tValue     float32 `parquet:\"value\"`\n    33→}\n    34→\n    35→// flattenCheckpointFile recursively converts a CheckpointFile tree into Parquet rows.\n    36→// The scope path is built from the hierarchy: host level is \"node\", then child names\n    37→// map to scope/scope_id (e.g., \"socket0\" → scope=\"socket\", scope_id=\"0\").\n    38→func flattenCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string, rows []ParquetMetricRow) []ParquetMetricRow {\n    39→\tfor metricName, cm := range cf.Metrics {\n    40→\t\tts := cm.Start\n    41→\t\tfor _, v := range cm.Data {\n    42→\t\t\tif !v.IsNaN() {\n    43→\t\t\t\trows = append(rows, ParquetMetricRow{\n    44→\t\t\t\t\tCluster:   cluster,\n    45→\t\t\t\t\tHostname:  hostname,\n    46→\t\t\t\t\tMetric:    metricName,\n    47→\t\t\t\t\tScope:     scope,\n    48→\t\t\t\t\tScopeID:   scopeID,\n    49→\t\t\t\t\tTimestamp: ts,\n    50→\t\t\t\t\tFrequency: cm.Frequency,\n    51→\t\t\t\t\tValue:     float32(v),\n    52→\t\t\t\t})\n    53→\t\t\t}\n    54→\t\t\tts += cm.Frequency\n    55→\t\t}\n    56→\t}\n    57→\n    58→\tfor childName, childCf := range cf.Children {\n    59→\t\tchildScope, childScopeID := parseScopeFromName(childName)\n    60→\t\trows = flattenCheckpointFile(childCf, cluster, hostname, childScope, childScopeID, rows)\n    61→\t}\n    62→\n    63→\treturn rows\n    64→}\n    65→\n    66→// parseScopeFromName infers scope and scope_id from a child level name.\n    67→// Examples: \"socket0\" → (\"socket\", \"0\"), \"core12\" → (\"core\", \"12\"),\n    68→// \"a0\" (accelerator) → (\"accelerator\", \"0\").\n    69→// If the name doesn't match known patterns, it's used as-is for scope with empty scope_id.\n    70→func parseScopeFromName(name string) (string, string) {\n    71→\tprefixes := []struct {\n    72→\t\tprefix string\n    73→\t\tscope  string\n    74→\t}{\n    75→\t\t{\"socket\", \"socket\"},\n    76→\t\t{\"memoryDomain\", \"memoryDomain\"},\n    77→\t\t{\"core\", \"core\"},\n    78→\t\t{\"hwthread\", \"hwthread\"},\n    79→\t\t{\"cpu\", \"hwthread\"},\n    80→\t\t{\"accelerator\", \"accelerator\"},\n    81→\t}\n    82→\n    83→\tfor _, p := range prefixes {\n    84→\t\tif len(name) > len(p.prefix) && name[:len(p.prefix)] == p.prefix {\n    85→\t\t\tid := name[len(p.prefix):]\n    86→\t\t\tif len(id) > 0 && id[0] >= '0' && id[0] <= '9' {\n    87→\t\t\t\treturn p.scope, id\n    88→\t\t\t}\n    89→\t\t}\n    90→\t}\n    91→\n    92→\treturn name, \"\"\n    93→}\n    94→\n    95→// parquetArchiveWriter supports incremental writes to a Parquet file.\n    96→// Each call to WriteHostRows writes one row group (typically one host's data),\n    97→// avoiding accumulation of all rows in memory.\n    98→type parquetArchiveWriter struct {\n    99→\twriter *pq.GenericWriter[ParquetMetricRow]\n   100→\tbw     *bufio.Writer\n   101→\tf      *os.File\n   102→\tcount  int\n   103→}\n   104→\n   105→// newParquetArchiveWriter creates a streaming Parquet writer with Zstd compression.\n   106→func newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error) {\n   107→\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n   108→\t\treturn nil, fmt.Errorf(\"creating archive directory: %w\", err)\n   109→\t}\n   110→\n   111→\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n   112→\tif err != nil {\n   113→\t\treturn nil, fmt.Errorf(\"creating parquet file: %w\", err)\n   114→\t}\n   115→\n   116→\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n   117→\n   118→\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n   119→\t\tpq.Compression(&pq.Zstd),\n   120→\t)\n   121→\n   122→\treturn &parquetArchiveWriter{writer: writer, bw: bw, f: f}, nil\n   123→}\n   124→\n   125→// WriteHostRows sorts rows by (metric, timestamp) in-place, writes them,\n   126→// and flushes to create a separate row group.\n   127→func (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error {\n   128→\tsort.Slice(rows, func(i, j int) bool {\n   129→\t\tif rows[i].Metric != rows[j].Metric {\n   130→\t\t\treturn rows[i].Metric < rows[j].Metric\n   131→\t\t}\n   132→\t\treturn rows[i].Timestamp < rows[j].Timestamp\n   133→\t})\n   134→\n   135→\tif _, err := w.writer.Write(rows); err != nil {\n   136→\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n   137→\t}\n   138→\n   139→\tif err := w.writer.Flush(); err != nil {\n   140→\t\treturn fmt.Errorf(\"flushing parquet row group: %w\", err)\n   141→\t}\n   142→\n   143→\tw.count += len(rows)\n   144→\treturn nil\n   145→}\n   146→\n   147→// Close finalises the Parquet file (footer, buffered I/O, file handle).\n   148→func (w *parquetArchiveWriter) Close() error {\n   149→\tif err := w.writer.Close(); err != nil {\n   150→\t\tw.f.Close()\n   151→\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n   152→\t}\n   153→\n   154→\tif err := w.bw.Flush(); err != nil {\n   155→\t\tw.f.Close()\n   156→\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n   157→\t}\n   158→\n   159→\treturn w.f.Close()\n   160→}\n   161→\n   162→// sortParquetRows sorts rows by (metric, timestamp) in-place.\n   163→func sortParquetRows(rows []ParquetMetricRow) {\n   164→\tsort.Slice(rows, func(i, j int) bool {\n   165→\t\tif rows[i].Metric != rows[j].Metric {\n   166→\t\t\treturn rows[i].Metric < rows[j].Metric\n   167→\t\t}\n   168→\t\treturn rows[i].Timestamp < rows[j].Timestamp\n   169→\t})\n   170→}\n   171→\n   172→// loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns\n   173→// a CheckpointFile. Used by the Parquet archiver to read checkpoint data\n   174→// before converting it to Parquet format.\n   175→func loadCheckpointFileFromDisk(filename string) (*CheckpointFile, error) {\n   176→\tf, err := os.Open(filename)\n   177→\tif err != nil {\n   178→\t\treturn nil, err\n   179→\t}\n   180→\tdefer f.Close()\n   181→\n   182→\text := filepath.Ext(filename)\n   183→\tswitch ext {\n   184→\tcase \".json\":\n   185→\t\tcf := &CheckpointFile{}\n   186→\t\tbr := bufio.NewReader(f)\n   187→\t\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n   188→\t\t\treturn nil, fmt.Errorf(\"decoding JSON checkpoint %s: %w\", filename, err)\n   189→\t\t}\n   190→\t\treturn cf, nil\n   191→\n   192→\tcase \".bin\":\n   193→\t\tbr := bufio.NewReader(f)\n   194→\t\tvar magic uint32\n   195→\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n   196→\t\t\treturn nil, fmt.Errorf(\"reading magic from %s: %w\", filename, err)\n   197→\t\t}\n   198→\t\tif magic != snapFileMagic {\n   199→\t\t\treturn nil, fmt.Errorf(\"invalid snapshot magic in %s: 0x%08X\", filename, magic)\n   200→\t\t}\n   201→\t\tvar fileFrom, fileTo int64\n   202→\t\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n   203→\t\t\treturn nil, fmt.Errorf(\"reading from-timestamp from %s: %w\", filename, err)\n   204→\t\t}\n   205→\t\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n   206→\t\t\treturn nil, fmt.Errorf(\"reading to-timestamp from %s: %w\", filename, err)\n   207→\t\t}\n   208→\t\tcf, err := readBinaryLevel(br)\n   209→\t\tif err != nil {\n   210→\t\t\treturn nil, fmt.Errorf(\"reading binary level from %s: %w\", filename, err)\n   211→\t\t}\n   212→\t\tcf.From = fileFrom\n   213→\t\tcf.To = fileTo\n   214→\t\treturn cf, nil\n   215→\n   216→\tdefault:\n   217→\t\treturn nil, fmt.Errorf(\"unsupported checkpoint extension: %s\", ext)\n   218→\t}\n   219→}\n   220→\n   221→// estimateRowCount estimates the number of Parquet rows a CheckpointFile will produce.\n   222→// Used for pre-allocating the rows slice to avoid repeated append doubling.\n   223→func estimateRowCount(cf *CheckpointFile) int {\n   224→\tn := 0\n   225→\tfor _, cm := range cf.Metrics {\n   226→\t\tn += len(cm.Data)\n   227→\t}\n   228→\tfor _, child := range cf.Children {\n   229→\t\tn += estimateRowCount(child)\n   230→\t}\n   231→\treturn n\n   232→}\n   233→\n   234→// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n   235→// converts them to Parquet rows. Returns the rows and filenames that were processed.\n   236→func archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n   237→\tentries, err := os.ReadDir(dir)\n   238→\tif err != nil {\n   239→\t\treturn nil, nil, err\n   240→\t}\n   241→\n   242→\tfiles, err := findFiles(entries, from, false)\n   243→\tif err != nil {\n   244→\t\treturn nil, nil, err\n   245→\t}\n   246→\n   247→\tif len(files) == 0 {\n   248→\t\treturn nil, nil, nil\n   249→\t}\n   250→\n   251→\t// First pass: load checkpoints and estimate total rows for pre-allocation.\n   252→\ttype loaded struct {\n   253→\t\tcf       *CheckpointFile\n   254→\t\tfilename string\n   255→\t}\n   256→\tvar checkpoints []loaded\n   257→\ttotalEstimate := 0\n   258→\n   259→\tfor _, checkpoint := range files {\n   260→\t\tfilename := filepath.Join(dir, checkpoint)\n   261→\t\tcf, err := loadCheckpointFileFromDisk(filename)\n   262→\t\tif err != nil {\n   263→\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n   264→\t\t\tcontinue\n   265→\t\t}\n   266→\t\ttotalEstimate += estimateRowCount(cf)\n   267→\t\tcheckpoints = append(checkpoints, loaded{cf: cf, filename: checkpoint})\n   268→\t}\n   269→\n   270→\tif len(checkpoints) == 0 {\n   271→\t\treturn nil, nil, nil\n   272→\t}\n   273→\n   274→\trows := make([]ParquetMetricRow, 0, totalEstimate)\n   275→\tprocessedFiles := make([]string, 0, len(checkpoints))\n   276→\n   277→\tfor _, cp := range checkpoints {\n   278→\t\trows = flattenCheckpointFile(cp.cf, cluster, host, \"node\", \"\", rows)\n   279→\t\tprocessedFiles = append(processedFiles, cp.filename)\n   280→\t}\n   281→\n   282→\treturn rows, processedFiles, nil\n   283→}\n   284→"}]},"uuid":"0b8f00ca-48da-4b9c-a3e9-265029b39781","timestamp":"2026-03-18T04:02:36.395Z"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"3fbe0910-10c9-48c1-9b6b-7929c4eba811","timestamp":"2026-03-18T04:02:36.577Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"912f12d8-7474-41e1-8f48-739a31adb3d8","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LEnHcZQkV5PNC7XPaU6Pgb","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package parquet\n     7→\n     8→import (\n     9→\t\"bytes\"\n    10→\t\"encoding/json\"\n    11→\t\"fmt\"\n    12→\t\"path\"\n    13→\t\"time\"\n    14→\n    15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    16→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    17→\tpq \"github.com/parquet-go/parquet-go\"\n    18→)\n    19→\n    20→// ParquetWriter batches ParquetJobRows and flushes them to a target\n    21→// when the estimated size exceeds maxSizeBytes.\n    22→type ParquetWriter struct {\n    23→\ttarget       ParquetTarget\n    24→\tmaxSizeBytes int64\n    25→\trows         []ParquetJobRow\n    26→\tcurrentSize  int64\n    27→\tfileCounter  int\n    28→\tdatePrefix   string\n    29→}\n    30→\n    31→// NewParquetWriter creates a new writer that flushes batches to the given target.\n    32→// maxSizeMB sets the approximate maximum size per parquet file in megabytes.\n    33→func NewParquetWriter(target ParquetTarget, maxSizeMB int) *ParquetWriter {\n    34→\treturn &ParquetWriter{\n    35→\t\ttarget:       target,\n    36→\t\tmaxSizeBytes: int64(maxSizeMB) * 1024 * 1024,\n    37→\t\tdatePrefix:   time.Now().Format(\"2006-01-02\"),\n    38→\t}\n    39→}\n    40→\n    41→// AddJob adds a row to the current batch. If the estimated batch size\n    42→// exceeds the configured maximum, the batch is flushed to the target first.\n    43→func (pw *ParquetWriter) AddJob(row ParquetJobRow) error {\n    44→\trowSize := estimateRowSize(&row)\n    45→\n    46→\tif pw.currentSize+rowSize > pw.maxSizeBytes && len(pw.rows) > 0 {\n    47→\t\tif err := pw.Flush(); err != nil {\n    48→\t\t\treturn err\n    49→\t\t}\n    50→\t}\n    51→\n    52→\tpw.rows = append(pw.rows, row)\n    53→\tpw.currentSize += rowSize\n    54→\treturn nil\n    55→}\n    56→\n    57→// Flush writes the current batch to a parquet file on the target.\n    58→func (pw *ParquetWriter) Flush() error {\n    59→\tif len(pw.rows) == 0 {\n    60→\t\treturn nil\n    61→\t}\n    62→\n    63→\tpw.fileCounter++\n    64→\tfileName := fmt.Sprintf(\"cc-archive-%s-%03d.parquet\", pw.datePrefix, pw.fileCounter)\n    65→\n    66→\tdata, err := writeParquetBytes(pw.rows)\n    67→\tif err != nil {\n    68→\t\treturn fmt.Errorf(\"write parquet buffer: %w\", err)\n    69→\t}\n    70→\n    71→\tif err := pw.target.WriteFile(fileName, data); err != nil {\n    72→\t\treturn fmt.Errorf(\"write parquet file %q: %w\", fileName, err)\n    73→\t}\n    74→\n    75→\tcclog.Infof(\"Parquet retention: wrote %s (%d jobs, %d bytes)\", fileName, len(pw.rows), len(data))\n    76→\tpw.rows = pw.rows[:0]\n    77→\tpw.currentSize = 0\n    78→\treturn nil\n    79→}\n    80→\n    81→// Close flushes any remaining rows and finalizes the writer.\n    82→func (pw *ParquetWriter) Close() error {\n    83→\treturn pw.Flush()\n    84→}\n    85→\n    86→func writeParquetBytes(rows []ParquetJobRow) ([]byte, error) {\n    87→\tvar buf bytes.Buffer\n    88→\n    89→\twriter := pq.NewGenericWriter[ParquetJobRow](&buf,\n    90→\t\tpq.Compression(&pq.Zstd),\n    91→\t\tpq.SortingWriterConfig(pq.SortingColumns(\n    92→\t\t\tpq.Ascending(\"sub_cluster\"),\n    93→\t\t\tpq.Ascending(\"project\"),\n    94→\t\t\tpq.Ascending(\"start_time\"),\n    95→\t\t)),\n    96→\t)\n    97→\n    98→\tif _, err := writer.Write(rows); err != nil {\n    99→\t\treturn nil, err\n   100→\t}\n   101→\tif err := writer.Close(); err != nil {\n   102→\t\treturn nil, err\n   103→\t}\n   104→\n   105→\treturn buf.Bytes(), nil\n   106→}\n   107→\n   108→func estimateRowSize(row *ParquetJobRow) int64 {\n   109→\t// Fixed fields: ~100 bytes for numeric fields + strings estimate\n   110→\tsize := int64(200)\n   111→\tsize += int64(len(row.Cluster) + len(row.SubCluster) + len(row.Partition) +\n   112→\t\tlen(row.Project) + len(row.User) + len(row.State))\n   113→\tsize += int64(len(row.ResourcesJSON))\n   114→\tsize += int64(len(row.StatisticsJSON))\n   115→\tsize += int64(len(row.TagsJSON))\n   116→\tsize += int64(len(row.MetaDataJSON))\n   117→\tsize += int64(len(row.FootprintJSON))\n   118→\tsize += int64(len(row.EnergyFootJSON))\n   119→\tsize += int64(len(row.MetricDataGz))\n   120→\treturn size\n   121→}\n   122→\n   123→// prefixedTarget wraps a ParquetTarget and prepends a path prefix to all file names.\n   124→type prefixedTarget struct {\n   125→\tinner  ParquetTarget\n   126→\tprefix string\n   127→}\n   128→\n   129→func (pt *prefixedTarget) WriteFile(name string, data []byte) error {\n   130→\treturn pt.inner.WriteFile(path.Join(pt.prefix, name), data)\n   131→}\n   132→\n   133→// ClusterAwareParquetWriter organizes Parquet output by cluster.\n   134→// Each cluster gets its own subdirectory with a cluster.json config file.\n   135→type ClusterAwareParquetWriter struct {\n   136→\ttarget       ParquetTarget\n   137→\tmaxSizeMB    int\n   138→\twriters      map[string]*ParquetWriter\n   139→\tclusterCfgs  map[string]*schema.Cluster\n   140→}\n   141→\n   142→// NewClusterAwareParquetWriter creates a writer that routes jobs to per-cluster ParquetWriters.\n   143→func NewClusterAwareParquetWriter(target ParquetTarget, maxSizeMB int) *ClusterAwareParquetWriter {\n   144→\treturn &ClusterAwareParquetWriter{\n   145→\t\ttarget:      target,\n   146→\t\tmaxSizeMB:   maxSizeMB,\n   147→\t\twriters:     make(map[string]*ParquetWriter),\n   148→\t\tclusterCfgs: make(map[string]*schema.Cluster),\n   149→\t}\n   150→}\n   151→\n   152→// SetClusterConfig stores a cluster configuration to be written as cluster.json on Close.\n   153→func (cw *ClusterAwareParquetWriter) SetClusterConfig(name string, cfg *schema.Cluster) {\n   154→\tcw.clusterCfgs[name] = cfg\n   155→}\n   156→\n   157→// AddJob routes the job row to the appropriate per-cluster writer.\n   158→func (cw *ClusterAwareParquetWriter) AddJob(row ParquetJobRow) error {\n   159→\tcluster := row.Cluster\n   160→\tpw, ok := cw.writers[cluster]\n   161→\tif !ok {\n   162→\t\tpw = NewParquetWriter(&prefixedTarget{inner: cw.target, prefix: cluster}, cw.maxSizeMB)\n   163→\t\tcw.writers[cluster] = pw\n   164→\t}\n   165→\treturn pw.AddJob(row)\n   166→}\n   167→\n   168→// Close writes cluster.json files and flushes all per-cluster writers.\n   169→func (cw *ClusterAwareParquetWriter) Close() error {\n   170→\tfor name, cfg := range cw.clusterCfgs {\n   171→\t\tdata, err := json.MarshalIndent(cfg, \"\", \"  \")\n   172→\t\tif err != nil {\n   173→\t\t\treturn fmt.Errorf(\"marshal cluster config %q: %w\", name, err)\n   174→\t\t}\n   175→\t\tif err := cw.target.WriteFile(path.Join(name, \"cluster.json\"), data); err != nil {\n   176→\t\t\treturn fmt.Errorf(\"write cluster.json for %q: %w\", name, err)\n   177→\t\t}\n   178→\t}\n   179→\n   180→\tfor cluster, pw := range cw.writers {\n   181→\t\tif err := pw.Close(); err != nil {\n   182→\t\t\treturn fmt.Errorf(\"close writer for cluster %q: %w\", cluster, err)\n   183→\t\t}\n   184→\t}\n   185→\treturn nil\n   186→}\n   187→"}]},"uuid":"1112516e-76fc-42b2-9709-8c6466b84dd7","timestamp":"2026-03-18T04:02:36.604Z"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"dbd83243-3f80-41dd-a55a-79a9516936db","timestamp":"2026-03-18T04:02:36.837Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"5143d6be-379b-4abf-a157-a66bd9488b93","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GNs92J7Re4V1XiEhUdVFzR","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package parquet\n     7→\n     8→import (\n     9→\t\"bytes\"\n    10→\t\"fmt\"\n    11→\t\"time\"\n    12→\n    13→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    14→\tpq \"github.com/parquet-go/parquet-go\"\n    15→)\n    16→\n    17→// NodeStateParquetWriter batches ParquetNodeStateRows and flushes them to a target\n    18→// when the estimated size exceeds maxSizeBytes.\n    19→type NodeStateParquetWriter struct {\n    20→\ttarget       ParquetTarget\n    21→\tmaxSizeBytes int64\n    22→\trows         []ParquetNodeStateRow\n    23→\tcurrentSize  int64\n    24→\tfileCounter  int\n    25→\tdatePrefix   string\n    26→}\n    27→\n    28→// NewNodeStateParquetWriter creates a new writer for node state parquet files.\n    29→func NewNodeStateParquetWriter(target ParquetTarget, maxSizeMB int) *NodeStateParquetWriter {\n    30→\treturn &NodeStateParquetWriter{\n    31→\t\ttarget:       target,\n    32→\t\tmaxSizeBytes: int64(maxSizeMB) * 1024 * 1024,\n    33→\t\tdatePrefix:   time.Now().Format(\"2006-01-02\"),\n    34→\t}\n    35→}\n    36→\n    37→// AddRow adds a row to the current batch. If the estimated batch size\n    38→// exceeds the configured maximum, the batch is flushed first.\n    39→func (pw *NodeStateParquetWriter) AddRow(row ParquetNodeStateRow) error {\n    40→\trowSize := estimateNodeStateRowSize(&row)\n    41→\n    42→\tif pw.currentSize+rowSize > pw.maxSizeBytes && len(pw.rows) > 0 {\n    43→\t\tif err := pw.Flush(); err != nil {\n    44→\t\t\treturn err\n    45→\t\t}\n    46→\t}\n    47→\n    48→\tpw.rows = append(pw.rows, row)\n    49→\tpw.currentSize += rowSize\n    50→\treturn nil\n    51→}\n    52→\n    53→// Flush writes the current batch to a parquet file on the target.\n    54→func (pw *NodeStateParquetWriter) Flush() error {\n    55→\tif len(pw.rows) == 0 {\n    56→\t\treturn nil\n    57→\t}\n    58→\n    59→\tpw.fileCounter++\n    60→\tfileName := fmt.Sprintf(\"cc-nodestate-%s-%03d.parquet\", pw.datePrefix, pw.fileCounter)\n    61→\n    62→\tdata, err := writeNodeStateParquetBytes(pw.rows)\n    63→\tif err != nil {\n    64→\t\treturn fmt.Errorf(\"write parquet buffer: %w\", err)\n    65→\t}\n    66→\n    67→\tif err := pw.target.WriteFile(fileName, data); err != nil {\n    68→\t\treturn fmt.Errorf(\"write parquet file %q: %w\", fileName, err)\n    69→\t}\n    70→\n    71→\tcclog.Infof(\"NodeState retention: wrote %s (%d rows, %d bytes)\", fileName, len(pw.rows), len(data))\n    72→\tpw.rows = pw.rows[:0]\n    73→\tpw.currentSize = 0\n    74→\treturn nil\n    75→}\n    76→\n    77→// Close flushes any remaining rows and finalizes the writer.\n    78→func (pw *NodeStateParquetWriter) Close() error {\n    79→\treturn pw.Flush()\n    80→}\n    81→\n    82→func writeNodeStateParquetBytes(rows []ParquetNodeStateRow) ([]byte, error) {\n    83→\tvar buf bytes.Buffer\n    84→\n    85→\twriter := pq.NewGenericWriter[ParquetNodeStateRow](&buf,\n    86→\t\tpq.Compression(&pq.Zstd),\n    87→\t\tpq.SortingWriterConfig(pq.SortingColumns(\n    88→\t\t\tpq.Ascending(\"cluster\"),\n    89→\t\t\tpq.Ascending(\"subcluster\"),\n    90→\t\t\tpq.Ascending(\"hostname\"),\n    91→\t\t\tpq.Ascending(\"time_stamp\"),\n    92→\t\t)),\n    93→\t)\n    94→\n    95→\tif _, err := writer.Write(rows); err != nil {\n    96→\t\treturn nil, err\n    97→\t}\n    98→\tif err := writer.Close(); err != nil {\n    99→\t\treturn nil, err\n   100→\t}\n   101→\n   102→\treturn buf.Bytes(), nil\n   103→}\n   104→\n   105→func estimateNodeStateRowSize(row *ParquetNodeStateRow) int64 {\n   106→\tsize := int64(100) // fixed numeric fields\n   107→\tsize += int64(len(row.NodeState) + len(row.HealthState) + len(row.HealthMetrics))\n   108→\tsize += int64(len(row.Hostname) + len(row.Cluster) + len(row.SubCluster))\n   109→\treturn size\n   110→}\n   111→"}]},"uuid":"5139460a-6d14-44e6-83e4-ce582368071b","timestamp":"2026-03-18T04:02:36.857Z"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"f80b2e80-bf73-4f8f-bf82-05cad2523928","timestamp":"2026-03-18T04:02:37.006Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"e994be56-621a-458a-9404-8649dd75d275","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019UUYjj6J4QJS6RmAgcJTSo","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"encoding/json\"\n    10→\t\"fmt\"\n    11→\t\"os\"\n    12→\t\"path/filepath\"\n    13→\t\"strconv\"\n    14→\t\"strings\"\n    15→\t\"time\"\n    16→\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\tpqarchive \"github.com/ClusterCockpit/cc-backend/pkg/archive/parquet\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→\t\"github.com/go-co-op/gocron/v2\"\n    22→)\n    23→\n    24→// createParquetTarget creates a ParquetTarget (file or S3) from the retention config.\n    25→func createParquetTarget(cfg Retention) (pqarchive.ParquetTarget, error) {\n    26→\tswitch cfg.TargetKind {\n    27→\tcase \"s3\":\n    28→\t\treturn pqarchive.NewS3Target(pqarchive.S3TargetConfig{\n    29→\t\t\tEndpoint:     cfg.TargetEndpoint,\n    30→\t\t\tBucket:       cfg.TargetBucket,\n    31→\t\t\tAccessKey:    cfg.TargetAccessKey,\n    32→\t\t\tSecretKey:    cfg.TargetSecretKey,\n    33→\t\t\tRegion:       cfg.TargetRegion,\n    34→\t\t\tUsePathStyle: cfg.TargetUsePathStyle,\n    35→\t\t})\n    36→\tdefault:\n    37→\t\treturn pqarchive.NewFileTarget(cfg.TargetPath)\n    38→\t}\n    39→}\n    40→\n    41→// createTargetBackend creates a secondary archive backend (file or S3) for JSON copy/move.\n    42→func createTargetBackend(cfg Retention) (archive.ArchiveBackend, error) {\n    43→\tvar raw json.RawMessage\n    44→\tvar err error\n    45→\n    46→\tswitch cfg.TargetKind {\n    47→\tcase \"s3\":\n    48→\t\traw, err = json.Marshal(map[string]any{\n    49→\t\t\t\"kind\":           \"s3\",\n    50→\t\t\t\"endpoint\":       cfg.TargetEndpoint,\n    51→\t\t\t\"bucket\":         cfg.TargetBucket,\n    52→\t\t\t\"access-key\":     cfg.TargetAccessKey,\n    53→\t\t\t\"secret-key\":     cfg.TargetSecretKey,\n    54→\t\t\t\"region\":         cfg.TargetRegion,\n    55→\t\t\t\"use-path-style\": cfg.TargetUsePathStyle,\n    56→\t\t})\n    57→\tdefault:\n    58→\t\traw, err = json.Marshal(map[string]string{\n    59→\t\t\t\"kind\": \"file\",\n    60→\t\t\t\"path\": cfg.TargetPath,\n    61→\t\t})\n    62→\t}\n    63→\tif err != nil {\n    64→\t\treturn nil, fmt.Errorf(\"marshal target config: %w\", err)\n    65→\t}\n    66→\treturn archive.InitBackend(raw)\n    67→}\n    68→\n    69→// transferJobsJSON copies job data from source archive to target backend in JSON format.\n    70→func transferJobsJSON(jobs []*schema.Job, src archive.ArchiveBackend, dst archive.ArchiveBackend) error {\n    71→\t// Transfer cluster configs for all clusters referenced by jobs\n    72→\tclustersDone := make(map[string]bool)\n    73→\tfor _, job := range jobs {\n    74→\t\tif clustersDone[job.Cluster] {\n    75→\t\t\tcontinue\n    76→\t\t}\n    77→\t\tclusterCfg, err := src.LoadClusterCfg(job.Cluster)\n    78→\t\tif err != nil {\n    79→\t\t\tcclog.Warnf(\"Retention: load cluster config %q: %v\", job.Cluster, err)\n    80→\t\t} else {\n    81→\t\t\tif err := dst.StoreClusterCfg(job.Cluster, clusterCfg); err != nil {\n    82→\t\t\t\tcclog.Warnf(\"Retention: store cluster config %q: %v\", job.Cluster, err)\n    83→\t\t\t}\n    84→\t\t}\n    85→\t\tclustersDone[job.Cluster] = true\n    86→\t}\n    87→\n    88→\tfor _, job := range jobs {\n    89→\t\tmeta, err := src.LoadJobMeta(job)\n    90→\t\tif err != nil {\n    91→\t\t\tcclog.Warnf(\"Retention: load meta for job %d: %v\", job.JobID, err)\n    92→\t\t\tcontinue\n    93→\t\t}\n    94→\t\tdata, err := src.LoadJobData(job)\n    95→\t\tif err != nil {\n    96→\t\t\tcclog.Warnf(\"Retention: load data for job %d: %v\", job.JobID, err)\n    97→\t\t\tcontinue\n    98→\t\t}\n    99→\t\tif err := dst.ImportJob(meta, &data); err != nil {\n   100→\t\t\tcclog.Warnf(\"Retention: import job %d: %v\", job.JobID, err)\n   101→\t\t\tcontinue\n   102→\t\t}\n   103→\t}\n   104→\treturn nil\n   105→}\n   106→\n   107→// transferJobsParquet converts jobs to Parquet format, organized by cluster.\n   108→func transferJobsParquet(jobs []*schema.Job, src archive.ArchiveBackend, target pqarchive.ParquetTarget, maxSizeMB int) error {\n   109→\tcw := pqarchive.NewClusterAwareParquetWriter(target, maxSizeMB)\n   110→\n   111→\t// Set cluster configs for all clusters referenced by jobs\n   112→\tclustersDone := make(map[string]bool)\n   113→\tfor _, job := range jobs {\n   114→\t\tif clustersDone[job.Cluster] {\n   115→\t\t\tcontinue\n   116→\t\t}\n   117→\t\tclusterCfg, err := src.LoadClusterCfg(job.Cluster)\n   118→\t\tif err != nil {\n   119→\t\t\tcclog.Warnf(\"Retention: load cluster config %q: %v\", job.Cluster, err)\n   120→\t\t} else {\n   121→\t\t\tcw.SetClusterConfig(job.Cluster, clusterCfg)\n   122→\t\t}\n   123→\t\tclustersDone[job.Cluster] = true\n   124→\t}\n   125→\n   126→\tfor _, job := range jobs {\n   127→\t\tmeta, err := src.LoadJobMeta(job)\n   128→\t\tif err != nil {\n   129→\t\t\tcclog.Warnf(\"Retention: load meta for job %d: %v\", job.JobID, err)\n   130→\t\t\tcontinue\n   131→\t\t}\n   132→\t\tdata, err := src.LoadJobData(job)\n   133→\t\tif err != nil {\n   134→\t\t\tcclog.Warnf(\"Retention: load data for job %d: %v\", job.JobID, err)\n   135→\t\t\tcontinue\n   136→\t\t}\n   137→\t\trow, err := pqarchive.JobToParquetRow(meta, &data)\n   138→\t\tif err != nil {\n   139→\t\t\tcclog.Warnf(\"Retention: convert job %d: %v\", job.JobID, err)\n   140→\t\t\tcontinue\n   141→\t\t}\n   142→\t\tif err := cw.AddJob(*row); err != nil {\n   143→\t\t\tcclog.Errorf(\"Retention: add job %d to writer: %v\", job.JobID, err)\n   144→\t\t\tcontinue\n   145→\t\t}\n   146→\t}\n   147→\n   148→\treturn cw.Close()\n   149→}\n   150→\n   151→// cleanupAfterTransfer removes jobs from archive and optionally from DB.\n   152→func cleanupAfterTransfer(jobs []*schema.Job, startTime int64, includeDB bool, omitTagged string) {\n   153→\tarchive.GetHandle().CleanUp(jobs)\n   154→\n   155→\tif includeDB {\n   156→\t\tcnt, err := jobRepo.DeleteJobsBefore(startTime, omitTagged)\n   157→\t\tif err != nil {\n   158→\t\t\tcclog.Errorf(\"Retention: delete jobs from db: %v\", err)\n   159→\t\t} else {\n   160→\t\t\tcclog.Infof(\"Retention: removed %d jobs from db\", cnt)\n   161→\t\t}\n   162→\t\tif err = jobRepo.Optimize(); err != nil {\n   163→\t\t\tcclog.Errorf(\"Retention: db optimization error: %v\", err)\n   164→\t\t}\n   165→\t}\n   166→}\n   167→\n   168→// readCopyMarker reads the last-processed timestamp from a copy marker file.\n   169→func readCopyMarker(cfg Retention) int64 {\n   170→\tvar data []byte\n   171→\tvar err error\n   172→\n   173→\tswitch cfg.TargetKind {\n   174→\tcase \"s3\":\n   175→\t\t// For S3 we store the marker locally alongside the config\n   176→\t\tdata, err = os.ReadFile(copyMarkerPath(cfg))\n   177→\tdefault:\n   178→\t\tdata, err = os.ReadFile(filepath.Join(cfg.TargetPath, \".copy-marker\"))\n   179→\t}\n   180→\tif err != nil {\n   181→\t\treturn 0\n   182→\t}\n   183→\tts, err := strconv.ParseInt(strings.TrimSpace(string(data)), 10, 64)\n   184→\tif err != nil {\n   185→\t\treturn 0\n   186→\t}\n   187→\treturn ts\n   188→}\n   189→\n   190→// writeCopyMarker writes the last-processed timestamp to a copy marker file.\n   191→func writeCopyMarker(cfg Retention, ts int64) {\n   192→\tcontent := []byte(strconv.FormatInt(ts, 10))\n   193→\tvar err error\n   194→\n   195→\tswitch cfg.TargetKind {\n   196→\tcase \"s3\":\n   197→\t\terr = os.WriteFile(copyMarkerPath(cfg), content, 0o640)\n   198→\tdefault:\n   199→\t\terr = os.WriteFile(filepath.Join(cfg.TargetPath, \".copy-marker\"), content, 0o640)\n   200→\t}\n   201→\tif err != nil {\n   202→\t\tcclog.Warnf(\"Retention: write copy marker: %v\", err)\n   203→\t}\n   204→}\n   205→\n   206→func copyMarkerPath(cfg Retention) string {\n   207→\t// For S3 targets, store the marker in a local temp-style path derived from the bucket name\n   208→\treturn filepath.Join(os.TempDir(), fmt.Sprintf(\"cc-copy-marker-%s\", cfg.TargetBucket))\n   209→}\n   210→\n   211→func RegisterRetentionDeleteService(cfg Retention) {\n   212→\tcclog.Info(\"Register retention delete service\")\n   213→\n   214→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(3, 0, 0))),\n   215→\t\tgocron.NewTask(\n   216→\t\t\tfunc() {\n   217→\t\t\t\tstartTime := time.Now().Unix() - int64(cfg.Age*24*3600)\n   218→\t\t\t\tjobs, err := jobRepo.FindJobsBetween(0, startTime, cfg.OmitTagged)\n   219→\t\t\t\tif err != nil {\n   220→\t\t\t\t\tcclog.Warnf(\"Retention delete: error finding jobs: %v\", err)\n   221→\t\t\t\t\treturn\n   222→\t\t\t\t}\n   223→\t\t\t\tif len(jobs) == 0 {\n   224→\t\t\t\t\treturn\n   225→\t\t\t\t}\n   226→\n   227→\t\t\t\tcclog.Infof(\"Retention delete: processing %d jobs\", len(jobs))\n   228→\t\t\t\tcleanupAfterTransfer(jobs, startTime, cfg.IncludeDB, cfg.OmitTagged)\n   229→\t\t\t}))\n   230→}\n   231→\n   232→func RegisterRetentionCopyService(cfg Retention) {\n   233→\tcclog.Infof(\"Register retention copy service (format=%s, target=%s)\", cfg.Format, cfg.TargetKind)\n   234→\n   235→\tmaxFileSizeMB := cfg.MaxFileSizeMB\n   236→\tif maxFileSizeMB <= 0 {\n   237→\t\tmaxFileSizeMB = 512\n   238→\t}\n   239→\n   240→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(4, 0, 0))),\n   241→\t\tgocron.NewTask(\n   242→\t\t\tfunc() {\n   243→\t\t\t\tcutoff := time.Now().Unix() - int64(cfg.Age*24*3600)\n   244→\t\t\t\tlastProcessed := readCopyMarker(cfg)\n   245→\n   246→\t\t\t\tjobs, err := jobRepo.FindJobsBetween(lastProcessed, cutoff, cfg.OmitTagged)\n   247→\t\t\t\tif err != nil {\n   248→\t\t\t\t\tcclog.Warnf(\"Retention copy: error finding jobs: %v\", err)\n   249→\t\t\t\t\treturn\n   250→\t\t\t\t}\n   251→\t\t\t\tif len(jobs) == 0 {\n   252→\t\t\t\t\treturn\n   253→\t\t\t\t}\n   254→\n   255→\t\t\t\tcclog.Infof(\"Retention copy: processing %d jobs\", len(jobs))\n   256→\t\t\t\tar := archive.GetHandle()\n   257→\n   258→\t\t\t\tswitch cfg.Format {\n   259→\t\t\t\tcase \"parquet\":\n   260→\t\t\t\t\ttarget, err := createParquetTarget(cfg)\n   261→\t\t\t\t\tif err != nil {\n   262→\t\t\t\t\t\tcclog.Errorf(\"Retention copy: create parquet target: %v\", err)\n   263→\t\t\t\t\t\treturn\n   264→\t\t\t\t\t}\n   265→\t\t\t\t\tif err := transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\n   266→\t\t\t\t\t\tcclog.Errorf(\"Retention copy: parquet transfer: %v\", err)\n   267→\t\t\t\t\t\treturn\n   268→\t\t\t\t\t}\n   269→\t\t\t\tdefault: // json\n   270→\t\t\t\t\tdst, err := createTargetBackend(cfg)\n   271→\t\t\t\t\tif err != nil {\n   272→\t\t\t\t\t\tcclog.Errorf(\"Retention copy: create target backend: %v\", err)\n   273→\t\t\t\t\t\treturn\n   274→\t\t\t\t\t}\n   275→\t\t\t\t\tif err := transferJobsJSON(jobs, ar, dst); err != nil {\n   276→\t\t\t\t\t\tcclog.Errorf(\"Retention copy: json transfer: %v\", err)\n   277→\t\t\t\t\t\treturn\n   278→\t\t\t\t\t}\n   279→\t\t\t\t}\n   280→\n   281→\t\t\t\twriteCopyMarker(cfg, cutoff)\n   282→\t\t\t}))\n   283→}\n   284→\n   285→func RegisterRetentionMoveService(cfg Retention) {\n   286→\tcclog.Infof(\"Register retention move service (format=%s, target=%s)\", cfg.Format, cfg.TargetKind)\n   287→\n   288→\tmaxFileSizeMB := cfg.MaxFileSizeMB\n   289→\tif maxFileSizeMB <= 0 {\n   290→\t\tmaxFileSizeMB = 512\n   291→\t}\n   292→\n   293→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(5, 0, 0))),\n   294→\t\tgocron.NewTask(\n   295→\t\t\tfunc() {\n   296→\t\t\t\tstartTime := time.Now().Unix() - int64(cfg.Age*24*3600)\n   297→\t\t\t\tjobs, err := jobRepo.FindJobsBetween(0, startTime, cfg.OmitTagged)\n   298→\t\t\t\tif err != nil {\n   299→\t\t\t\t\tcclog.Warnf(\"Retention move: error finding jobs: %v\", err)\n   300→\t\t\t\t\treturn\n   301→\t\t\t\t}\n   302→\t\t\t\tif len(jobs) == 0 {\n   303→\t\t\t\t\treturn\n   304→\t\t\t\t}\n   305→\n   306→\t\t\t\tcclog.Infof(\"Retention move: processing %d jobs\", len(jobs))\n   307→\t\t\t\tar := archive.GetHandle()\n   308→\n   309→\t\t\t\tswitch cfg.Format {\n   310→\t\t\t\tcase \"parquet\":\n   311→\t\t\t\t\ttarget, err := createParquetTarget(cfg)\n   312→\t\t\t\t\tif err != nil {\n   313→\t\t\t\t\t\tcclog.Errorf(\"Retention move: create parquet target: %v\", err)\n   314→\t\t\t\t\t\treturn\n   315→\t\t\t\t\t}\n   316→\t\t\t\t\tif err := transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\n   317→\t\t\t\t\t\tcclog.Errorf(\"Retention move: parquet transfer: %v\", err)\n   318→\t\t\t\t\t\treturn\n   319→\t\t\t\t\t}\n   320→\t\t\t\tdefault: // json\n   321→\t\t\t\t\tdst, err := createTargetBackend(cfg)\n   322→\t\t\t\t\tif err != nil {\n   323→\t\t\t\t\t\tcclog.Errorf(\"Retention move: create target backend: %v\", err)\n   324→\t\t\t\t\t\treturn\n   325→\t\t\t\t\t}\n   326→\t\t\t\t\tif err := transferJobsJSON(jobs, ar, dst); err != nil {\n   327→\t\t\t\t\t\tcclog.Errorf(\"Retention move: json transfer: %v\", err)\n   328→\t\t\t\t\t\treturn\n   329→\t\t\t\t\t}\n   330→\t\t\t\t}\n   331→\n   332→\t\t\t\tcleanupAfterTransfer(jobs, startTime, cfg.IncludeDB, cfg.OmitTagged)\n   333→\t\t\t}))\n   334→}\n   335→"}]},"uuid":"9c55ee61-e630-466b-8ade-4bc796ede8ec","timestamp":"2026-03-18T04:02:39.550Z"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"5fcacfb4-089a-4e6c-aa2c-47de7b6497db","timestamp":"2026-03-18T04:02:39.550Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"021c6590-b1e0-4880-a2ac-ed0a85ce8b0b","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01N4KBTu1ntjU3HDvgueA7nE","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"time\"\n    10→\n    11→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    12→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    13→\tpqarchive \"github.com/ClusterCockpit/cc-backend/pkg/archive/parquet\"\n    14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    15→\t\"github.com/go-co-op/gocron/v2\"\n    16→)\n    17→\n    18→func RegisterNodeStateRetentionDeleteService(ageHours int) {\n    19→\tcclog.Info(\"Register node state retention delete service\")\n    20→\n    21→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(2, 0, 0))),\n    22→\t\tgocron.NewTask(\n    23→\t\t\tfunc() {\n    24→\t\t\t\tcutoff := time.Now().Unix() - int64(ageHours*3600)\n    25→\t\t\t\tnodeRepo := repository.GetNodeRepository()\n    26→\t\t\t\tcnt, err := nodeRepo.DeleteNodeStatesBefore(cutoff)\n    27→\t\t\t\tif err != nil {\n    28→\t\t\t\t\tcclog.Errorf(\"NodeState retention: error deleting old rows: %v\", err)\n    29→\t\t\t\t} else if cnt > 0 {\n    30→\t\t\t\t\tcclog.Infof(\"NodeState retention: deleted %d old rows\", cnt)\n    31→\t\t\t\t}\n    32→\t\t\t}))\n    33→}\n    34→\n    35→func RegisterNodeStateRetentionMoveService(cfg *config.NodeStateRetention) {\n    36→\tcclog.Info(\"Register node state retention move service\")\n    37→\n    38→\tmaxFileSizeMB := cfg.MaxFileSizeMB\n    39→\tif maxFileSizeMB <= 0 {\n    40→\t\tmaxFileSizeMB = 128\n    41→\t}\n    42→\n    43→\tageHours := cfg.Age\n    44→\tif ageHours <= 0 {\n    45→\t\tageHours = 24\n    46→\t}\n    47→\n    48→\tvar target pqarchive.ParquetTarget\n    49→\tvar err error\n    50→\n    51→\tswitch cfg.TargetKind {\n    52→\tcase \"s3\":\n    53→\t\ttarget, err = pqarchive.NewS3Target(pqarchive.S3TargetConfig{\n    54→\t\t\tEndpoint:     cfg.TargetEndpoint,\n    55→\t\t\tBucket:       cfg.TargetBucket,\n    56→\t\t\tAccessKey:    cfg.TargetAccessKey,\n    57→\t\t\tSecretKey:    cfg.TargetSecretKey,\n    58→\t\t\tRegion:       cfg.TargetRegion,\n    59→\t\t\tUsePathStyle: cfg.TargetUsePathStyle,\n    60→\t\t})\n    61→\tdefault:\n    62→\t\ttarget, err = pqarchive.NewFileTarget(cfg.TargetPath)\n    63→\t}\n    64→\n    65→\tif err != nil {\n    66→\t\tcclog.Errorf(\"NodeState move retention: failed to create target: %v\", err)\n    67→\t\treturn\n    68→\t}\n    69→\n    70→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(2, 30, 0))),\n    71→\t\tgocron.NewTask(\n    72→\t\t\tfunc() {\n    73→\t\t\t\tcutoff := time.Now().Unix() - int64(ageHours*3600)\n    74→\t\t\t\tnodeRepo := repository.GetNodeRepository()\n    75→\n    76→\t\t\t\trows, err := nodeRepo.FindNodeStatesBefore(cutoff)\n    77→\t\t\t\tif err != nil {\n    78→\t\t\t\t\tcclog.Errorf(\"NodeState move retention: error finding rows: %v\", err)\n    79→\t\t\t\t\treturn\n    80→\t\t\t\t}\n    81→\t\t\t\tif len(rows) == 0 {\n    82→\t\t\t\t\treturn\n    83→\t\t\t\t}\n    84→\n    85→\t\t\t\tcclog.Infof(\"NodeState move retention: archiving %d rows\", len(rows))\n    86→\t\t\t\tpw := pqarchive.NewNodeStateParquetWriter(target, maxFileSizeMB)\n    87→\n    88→\t\t\t\tfor _, ns := range rows {\n    89→\t\t\t\t\trow := pqarchive.ParquetNodeStateRow{\n    90→\t\t\t\t\t\tTimeStamp:       ns.TimeStamp,\n    91→\t\t\t\t\t\tNodeState:       ns.NodeState,\n    92→\t\t\t\t\t\tHealthState:     ns.HealthState,\n    93→\t\t\t\t\t\tHealthMetrics:   ns.HealthMetrics,\n    94→\t\t\t\t\t\tCpusAllocated:   int32(ns.CpusAllocated),\n    95→\t\t\t\t\t\tMemoryAllocated: ns.MemoryAllocated,\n    96→\t\t\t\t\t\tGpusAllocated:   int32(ns.GpusAllocated),\n    97→\t\t\t\t\t\tJobsRunning:     int32(ns.JobsRunning),\n    98→\t\t\t\t\t\tHostname:        ns.Hostname,\n    99→\t\t\t\t\t\tCluster:         ns.Cluster,\n   100→\t\t\t\t\t\tSubCluster:      ns.SubCluster,\n   101→\t\t\t\t\t}\n   102→\t\t\t\t\tif err := pw.AddRow(row); err != nil {\n   103→\t\t\t\t\t\tcclog.Errorf(\"NodeState move retention: add row: %v\", err)\n   104→\t\t\t\t\t\tcontinue\n   105→\t\t\t\t\t}\n   106→\t\t\t\t}\n   107→\n   108→\t\t\t\tif err := pw.Close(); err != nil {\n   109→\t\t\t\t\tcclog.Errorf(\"NodeState move retention: close writer: %v\", err)\n   110→\t\t\t\t\treturn\n   111→\t\t\t\t}\n   112→\n   113→\t\t\t\tcnt, err := nodeRepo.DeleteNodeStatesBefore(cutoff)\n   114→\t\t\t\tif err != nil {\n   115→\t\t\t\t\tcclog.Errorf(\"NodeState move retention: error deleting rows: %v\", err)\n   116→\t\t\t\t} else {\n   117→\t\t\t\t\tcclog.Infof(\"NodeState move retention: deleted %d rows from db\", cnt)\n   118→\t\t\t\t}\n   119→\t\t\t}))\n   120→}\n   121→"}]},"uuid":"ef5b2bb2-c6c2-4ad6-8de9-f17ad72570d6","timestamp":"2026-03-18T04:02:39.609Z"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"16ae8feb-f59c-44fd-b541-6d2b7553859c","timestamp":"2026-03-18T04:02:39.610Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
+{"parentUuid":"16ae8feb-f59c-44fd-b541-6d2b7553859c","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-18T04:02:39.755Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01AGhRwzpLPizPqmLZJmbUqk","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01B3qau1at87zKUnxbhjYBLe","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/archive.go","limit":300},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":8899,"cache_read_input_tokens":20542,"cache_creation":{"ephemeral_5m_input_tokens":8899,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ9t2qQ8AnpMjGLdf6L1a","uuid":"a785207e-c3ee-4e7b-884e-ac18e3bc423e"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"4371f6de-6875-46f4-9168-dc00b1848578","timestamp":"2026-03-18T04:02:39.755Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
+{"parentUuid":"4371f6de-6875-46f4-9168-dc00b1848578","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01B3qau1at87zKUnxbhjYBLe","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package metricstore\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"errors\"\n    11→\t\"fmt\"\n    12→\t\"os\"\n    13→\t\"path/filepath\"\n    14→\t\"sync\"\n    15→\t\"sync/atomic\"\n    16→\t\"time\"\n    17→\n    18→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    19→)\n    20→\n    21→// Worker for either Archiving or Deleting files\n    22→\n    23→func CleanUp(wg *sync.WaitGroup, ctx context.Context) {\n    24→\tif Keys.Cleanup.Mode == \"archive\" {\n    25→\t\t// Run as Archiver\n    26→\t\tcleanUpWorker(wg, ctx,\n    27→\t\t\tKeys.RetentionInMemory,\n    28→\t\t\t\"archiving\",\n    29→\t\t\tKeys.Cleanup.RootDir,\n    30→\t\t\tfalse,\n    31→\t\t)\n    32→\t} else {\n    33→\t\t// Run as Deleter\n    34→\t\tcleanUpWorker(wg, ctx,\n    35→\t\t\tKeys.RetentionInMemory,\n    36→\t\t\t\"deleting\",\n    37→\t\t\t\"\",\n    38→\t\t\ttrue,\n    39→\t\t)\n    40→\t}\n    41→}\n    42→\n    43→// cleanUpWorker takes simple values to configure what it does\n    44→func cleanUpWorker(wg *sync.WaitGroup, ctx context.Context, interval string, mode string, cleanupDir string, delete bool) {\n    45→\twg.Go(func() {\n    46→\n    47→\t\td, err := time.ParseDuration(interval)\n    48→\t\tif err != nil {\n    49→\t\t\tcclog.Fatalf(\"[METRICSTORE]> error parsing %s interval duration: %v\\n\", mode, err)\n    50→\t\t}\n    51→\t\tif d <= 0 {\n    52→\t\t\treturn\n    53→\t\t}\n    54→\n    55→\t\tticker := time.NewTicker(d)\n    56→\t\tdefer ticker.Stop()\n    57→\n    58→\t\tfor {\n    59→\t\t\tselect {\n    60→\t\t\tcase <-ctx.Done():\n    61→\t\t\t\treturn\n    62→\t\t\tcase <-ticker.C:\n    63→\t\t\t\tt := time.Now().Add(-d)\n    64→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start %s checkpoints (older than %s)...\", mode, t.Format(time.RFC3339))\n    65→\n    66→\t\t\t\tn, err := CleanupCheckpoints(Keys.Checkpoints.RootDir, cleanupDir, t.Unix(), delete)\n    67→\n    68→\t\t\t\tif err != nil {\n    69→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> %s failed: %s\", mode, err.Error())\n    70→\t\t\t\t} else {\n    71→\t\t\t\t\tif delete {\n    72→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoints deleted\", n)\n    73→\t\t\t\t\t} else {\n    74→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files archived to parquet\", n)\n    75→\t\t\t\t\t}\n    76→\t\t\t\t}\n    77→\t\t\t}\n    78→\t\t}\n    79→\t})\n    80→}\n    81→\n    82→var ErrNoNewArchiveData error = errors.New(\"all data already archived\")\n    83→\n    84→// CleanupCheckpoints deletes or archives all checkpoint files older than `from`.\n    85→// When archiving, consolidates all hosts per cluster into a single Parquet file.\n    86→func CleanupCheckpoints(checkpointsDir, cleanupDir string, from int64, deleteInstead bool) (int, error) {\n    87→\tif deleteInstead {\n    88→\t\treturn deleteCheckpoints(checkpointsDir, from)\n    89→\t}\n    90→\n    91→\treturn archiveCheckpoints(checkpointsDir, cleanupDir, from)\n    92→}\n    93→\n    94→// deleteCheckpoints removes checkpoint files older than `from` across all clusters/hosts.\n    95→func deleteCheckpoints(checkpointsDir string, from int64) (int, error) {\n    96→\tentries1, err := os.ReadDir(checkpointsDir)\n    97→\tif err != nil {\n    98→\t\treturn 0, err\n    99→\t}\n   100→\n   101→\ttype workItem struct {\n   102→\t\tdir            string\n   103→\t\tcluster, host  string\n   104→\t}\n   105→\n   106→\tvar wg sync.WaitGroup\n   107→\tn, errs := int32(0), int32(0)\n   108→\twork := make(chan workItem, Keys.NumWorkers)\n   109→\n   110→\twg.Add(Keys.NumWorkers)\n   111→\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n   112→\t\tgo func() {\n   113→\t\t\tdefer wg.Done()\n   114→\t\t\tfor item := range work {\n   115→\t\t\t\tentries, err := os.ReadDir(item.dir)\n   116→\t\t\t\tif err != nil {\n   117→\t\t\t\t\tcclog.Errorf(\"error reading %s/%s: %s\", item.cluster, item.host, err.Error())\n   118→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   119→\t\t\t\t\tcontinue\n   120→\t\t\t\t}\n   121→\n   122→\t\t\t\tfiles, err := findFiles(entries, from, false)\n   123→\t\t\t\tif err != nil {\n   124→\t\t\t\t\tcclog.Errorf(\"error finding files in %s/%s: %s\", item.cluster, item.host, err.Error())\n   125→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   126→\t\t\t\t\tcontinue\n   127→\t\t\t\t}\n   128→\n   129→\t\t\t\tfor _, checkpoint := range files {\n   130→\t\t\t\t\tif err := os.Remove(filepath.Join(item.dir, checkpoint)); err != nil {\n   131→\t\t\t\t\t\tcclog.Errorf(\"error deleting %s/%s/%s: %s\", item.cluster, item.host, checkpoint, err.Error())\n   132→\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   133→\t\t\t\t\t} else {\n   134→\t\t\t\t\t\tatomic.AddInt32(&n, 1)\n   135→\t\t\t\t\t}\n   136→\t\t\t\t}\n   137→\t\t\t}\n   138→\t\t}()\n   139→\t}\n   140→\n   141→\tfor _, de1 := range entries1 {\n   142→\t\tentries2, e := os.ReadDir(filepath.Join(checkpointsDir, de1.Name()))\n   143→\t\tif e != nil {\n   144→\t\t\terr = e\n   145→\t\t\tcontinue\n   146→\t\t}\n   147→\n   148→\t\tfor _, de2 := range entries2 {\n   149→\t\t\twork <- workItem{\n   150→\t\t\t\tdir:     filepath.Join(checkpointsDir, de1.Name(), de2.Name()),\n   151→\t\t\t\tcluster: de1.Name(),\n   152→\t\t\t\thost:    de2.Name(),\n   153→\t\t\t}\n   154→\t\t}\n   155→\t}\n   156→\n   157→\tclose(work)\n   158→\twg.Wait()\n   159→\n   160→\tif err != nil {\n   161→\t\treturn int(n), err\n   162→\t}\n   163→\tif errs > 0 {\n   164→\t\treturn int(n), fmt.Errorf(\"%d errors happened while deleting (%d successes)\", errs, n)\n   165→\t}\n   166→\treturn int(n), nil\n   167→}\n   168→\n   169→// archiveCheckpoints archives checkpoint files to Parquet format.\n   170→// Produces one Parquet file per cluster: <cleanupDir>/<cluster>/<timestamp>.parquet\n   171→// Each host's rows are written as a separate row group to avoid accumulating\n   172→// all data in memory at once.\n   173→func archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n   174→\tclusterEntries, err := os.ReadDir(checkpointsDir)\n   175→\tif err != nil {\n   176→\t\treturn 0, err\n   177→\t}\n   178→\n   179→\ttotalFiles := 0\n   180→\n   181→\tfor _, clusterEntry := range clusterEntries {\n   182→\t\tif !clusterEntry.IsDir() {\n   183→\t\t\tcontinue\n   184→\t\t}\n   185→\n   186→\t\tcluster := clusterEntry.Name()\n   187→\t\thostEntries, err := os.ReadDir(filepath.Join(checkpointsDir, cluster))\n   188→\t\tif err != nil {\n   189→\t\t\treturn totalFiles, err\n   190→\t\t}\n   191→\n   192→\t\t// Stream per-host rows to parquet writer via worker pool\n   193→\t\ttype hostResult struct {\n   194→\t\t\trows  []ParquetMetricRow\n   195→\t\t\tfiles []string // checkpoint filenames to delete after successful write\n   196→\t\t\tdir   string   // checkpoint directory for this host\n   197→\t\t}\n   198→\n   199→\t\tresults := make(chan hostResult, len(hostEntries))\n   200→\t\twork := make(chan struct {\n   201→\t\t\tdir, host string\n   202→\t\t}, Keys.NumWorkers)\n   203→\n   204→\t\tvar wg sync.WaitGroup\n   205→\t\terrs := int32(0)\n   206→\n   207→\t\twg.Add(Keys.NumWorkers)\n   208→\t\tfor w := 0; w < Keys.NumWorkers; w++ {\n   209→\t\t\tgo func() {\n   210→\t\t\t\tdefer wg.Done()\n   211→\t\t\t\tfor item := range work {\n   212→\t\t\t\t\trows, files, err := archiveCheckpointsToParquet(item.dir, cluster, item.host, from)\n   213→\t\t\t\t\tif err != nil {\n   214→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())\n   215→\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   216→\t\t\t\t\t\tcontinue\n   217→\t\t\t\t\t}\n   218→\t\t\t\t\tif len(rows) > 0 {\n   219→\t\t\t\t\t\tresults <- hostResult{rows: rows, files: files, dir: item.dir}\n   220→\t\t\t\t\t}\n   221→\t\t\t\t}\n   222→\t\t\t}()\n   223→\t\t}\n   224→\n   225→\t\tgo func() {\n   226→\t\t\tfor _, hostEntry := range hostEntries {\n   227→\t\t\t\tif !hostEntry.IsDir() {\n   228→\t\t\t\t\tcontinue\n   229→\t\t\t\t}\n   230→\t\t\t\tdir := filepath.Join(checkpointsDir, cluster, hostEntry.Name())\n   231→\t\t\t\twork <- struct {\n   232→\t\t\t\t\tdir, host string\n   233→\t\t\t\t}{dir: dir, host: hostEntry.Name()}\n   234→\t\t\t}\n   235→\t\t\tclose(work)\n   236→\t\t\twg.Wait()\n   237→\t\t\tclose(results)\n   238→\t\t}()\n   239→\n   240→\t\t// Open streaming writer and write each host's rows as a row group\n   241→\t\tparquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))\n   242→\t\twriter, err := newParquetArchiveWriter(parquetFile)\n   243→\t\tif err != nil {\n   244→\t\t\t// Drain results channel to unblock workers\n   245→\t\t\tfor range results {\n   246→\t\t\t}\n   247→\t\t\treturn totalFiles, fmt.Errorf(\"creating parquet writer for cluster %s: %w\", cluster, err)\n   248→\t\t}\n   249→\n   250→\t\ttype deleteItem struct {\n   251→\t\t\tdir   string\n   252→\t\t\tfiles []string\n   253→\t\t}\n   254→\t\tvar toDelete []deleteItem\n   255→\t\twriteErr := error(nil)\n   256→\n   257→\t\tfor r := range results {\n   258→\t\t\tif writeErr == nil {\n   259→\t\t\t\tsortParquetRows(r.rows)\n   260→\t\t\t\tif err := writer.WriteHostRows(r.rows); err != nil {\n   261→\t\t\t\t\twriteErr = err\n   262→\t\t\t\t}\n   263→\t\t\t}\n   264→\t\t\t// Always track files for deletion (even if write failed, we still drain)\n   265→\t\t\ttoDelete = append(toDelete, deleteItem{dir: r.dir, files: r.files})\n   266→\t\t}\n   267→\n   268→\t\tif err := writer.Close(); err != nil && writeErr == nil {\n   269→\t\t\twriteErr = err\n   270→\t\t}\n   271→\n   272→\t\tif errs > 0 {\n   273→\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n   274→\t\t}\n   275→\n   276→\t\tif writer.count == 0 {\n   277→\t\t\t// No data written — remove empty file\n   278→\t\t\tos.Remove(parquetFile)\n   279→\t\t\tcontinue\n   280→\t\t}\n   281→\n   282→\t\tif writeErr != nil {\n   283→\t\t\tos.Remove(parquetFile)\n   284→\t\t\treturn totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, writeErr)\n   285→\t\t}\n   286→\n   287→\t\t// Delete archived checkpoint files\n   288→\t\tfor _, item := range toDelete {\n   289→\t\t\tfor _, file := range item.files {\n   290→\t\t\t\tfilename := filepath.Join(item.dir, file)\n   291→\t\t\t\tif err := os.Remove(filename); err != nil {\n   292→\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n   293→\t\t\t\t} else {\n   294→\t\t\t\t\ttotalFiles++\n   295→\t\t\t\t}\n   296→\t\t\t}\n   297→\t\t}\n   298→\n   299→\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n   300→\t\t\twriter.count, totalFiles, cluster, parquetFile)"}]},"uuid":"9ba823f7-f70b-408c-85a5-d24ed2584aea","timestamp":"2026-03-18T04:02:39.767Z"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"c60873cc-1254-4214-8fd0-17084b70fe7c","timestamp":"2026-03-18T04:02:39.768Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"91d42c01-6b72-4d41-9852-696f364e6edb","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013LMkXWdTD9Mrr8mFng5HZw","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package parquet\n     7→\n     8→import (\n     9→\t\"bytes\"\n    10→\t\"compress/gzip\"\n    11→\t\"encoding/json\"\n    12→\t\"fmt\"\n    13→\n    14→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    15→)\n    16→\n    17→// JobToParquetRow converts job metadata and metric data into a flat ParquetJobRow.\n    18→// Nested fields are marshaled to JSON; metric data is gzip-compressed JSON.\n    19→func JobToParquetRow(meta *schema.Job, data *schema.JobData) (*ParquetJobRow, error) {\n    20→\tresourcesJSON, err := json.Marshal(meta.Resources)\n    21→\tif err != nil {\n    22→\t\treturn nil, fmt.Errorf(\"marshal resources: %w\", err)\n    23→\t}\n    24→\n    25→\tvar statisticsJSON []byte\n    26→\tif meta.Statistics != nil {\n    27→\t\tstatisticsJSON, err = json.Marshal(meta.Statistics)\n    28→\t\tif err != nil {\n    29→\t\t\treturn nil, fmt.Errorf(\"marshal statistics: %w\", err)\n    30→\t\t}\n    31→\t}\n    32→\n    33→\tvar tagsJSON []byte\n    34→\tif len(meta.Tags) > 0 {\n    35→\t\ttagsJSON, err = json.Marshal(meta.Tags)\n    36→\t\tif err != nil {\n    37→\t\t\treturn nil, fmt.Errorf(\"marshal tags: %w\", err)\n    38→\t\t}\n    39→\t}\n    40→\n    41→\tvar metaDataJSON []byte\n    42→\tif meta.MetaData != nil {\n    43→\t\tmetaDataJSON, err = json.Marshal(meta.MetaData)\n    44→\t\tif err != nil {\n    45→\t\t\treturn nil, fmt.Errorf(\"marshal metadata: %w\", err)\n    46→\t\t}\n    47→\t}\n    48→\n    49→\tvar footprintJSON []byte\n    50→\tif meta.Footprint != nil {\n    51→\t\tfootprintJSON, err = json.Marshal(meta.Footprint)\n    52→\t\tif err != nil {\n    53→\t\t\treturn nil, fmt.Errorf(\"marshal footprint: %w\", err)\n    54→\t\t}\n    55→\t}\n    56→\n    57→\tvar energyFootJSON []byte\n    58→\tif meta.EnergyFootprint != nil {\n    59→\t\tenergyFootJSON, err = json.Marshal(meta.EnergyFootprint)\n    60→\t\tif err != nil {\n    61→\t\t\treturn nil, fmt.Errorf(\"marshal energy footprint: %w\", err)\n    62→\t\t}\n    63→\t}\n    64→\n    65→\tmetricDataGz, err := compressJobData(data)\n    66→\tif err != nil {\n    67→\t\treturn nil, fmt.Errorf(\"compress metric data: %w\", err)\n    68→\t}\n    69→\n    70→\treturn &ParquetJobRow{\n    71→\t\tJobID:          meta.JobID,\n    72→\t\tCluster:        meta.Cluster,\n    73→\t\tSubCluster:     meta.SubCluster,\n    74→\t\tPartition:      meta.Partition,\n    75→\t\tProject:        meta.Project,\n    76→\t\tUser:           meta.User,\n    77→\t\tState:          string(meta.State),\n    78→\t\tStartTime:      meta.StartTime,\n    79→\t\tDuration:       meta.Duration,\n    80→\t\tWalltime:       meta.Walltime,\n    81→\t\tNumNodes:       meta.NumNodes,\n    82→\t\tNumHWThreads:   meta.NumHWThreads,\n    83→\t\tNumAcc:         meta.NumAcc,\n    84→\t\tEnergy:         meta.Energy,\n    85→\t\tSMT:            meta.SMT,\n    86→\t\tResourcesJSON:  resourcesJSON,\n    87→\t\tStatisticsJSON: statisticsJSON,\n    88→\t\tTagsJSON:       tagsJSON,\n    89→\t\tMetaDataJSON:   metaDataJSON,\n    90→\t\tFootprintJSON:  footprintJSON,\n    91→\t\tEnergyFootJSON: energyFootJSON,\n    92→\t\tMetricDataGz:   metricDataGz,\n    93→\t}, nil\n    94→}\n    95→\n    96→// ParquetRowToJob converts a ParquetJobRow back into job metadata and metric data.\n    97→// This is the reverse of JobToParquetRow.\n    98→func ParquetRowToJob(row *ParquetJobRow) (*schema.Job, *schema.JobData, error) {\n    99→\tmeta := &schema.Job{\n   100→\t\tJobID:        row.JobID,"}]},"uuid":"7b6a47be-a2c0-488e-ba31-b52aea20f0ea","timestamp":"2026-03-18T04:02:43.724Z"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"1c7c8ba0-45fa-4dcf-a87d-03f5d8f26168","timestamp":"2026-03-18T04:02:43.726Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
+{"parentUuid":"1c7c8ba0-45fa-4dcf-a87d-03f5d8f26168","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-18T04:02:45.376Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01AeDDgdidv1BEeCrQFmdBTc","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RR1p1p9GmJcZsKdnHvrmY8","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer_test.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":1586,"cache_read_input_tokens":41470,"cache_creation":{"ephemeral_5m_input_tokens":1586,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ9t3JEAaXHwUp2qQFHHG","uuid":"be8ab130-3d8c-4c5e-be06-5c6e300b2aa4"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"b86b4a2f-0e5a-4339-aa72-47e83065dde7","timestamp":"2026-03-18T04:02:45.376Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
+{"parentUuid":"b86b4a2f-0e5a-4339-aa72-47e83065dde7","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RR1p1p9GmJcZsKdnHvrmY8","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package parquet\n     7→\n     8→import (\n     9→\t\"bytes\"\n    10→\t\"compress/gzip\"\n    11→\t\"encoding/json\"\n    12→\t\"io\"\n    13→\t\"os\"\n    14→\t\"path/filepath\"\n    15→\t\"strings\"\n    16→\t\"sync\"\n    17→\t\"testing\"\n    18→\n    19→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    20→\tpq \"github.com/parquet-go/parquet-go\"\n    21→)\n    22→\n    23→// memTarget collects written files in memory for testing.\n    24→type memTarget struct {\n    25→\tmu    sync.Mutex\n    26→\tfiles map[string][]byte\n    27→}\n    28→\n    29→func newMemTarget() *memTarget {\n    30→\treturn &memTarget{files: make(map[string][]byte)}\n    31→}\n    32→\n    33→func (m *memTarget) WriteFile(name string, data []byte) error {\n    34→\tm.mu.Lock()\n    35→\tdefer m.mu.Unlock()\n    36→\tm.files[name] = append([]byte(nil), data...)\n    37→\treturn nil\n    38→}\n    39→\n    40→func makeTestJob(jobID int64) (*schema.Job, *schema.JobData) {\n    41→\tmeta := &schema.Job{\n    42→\t\tJobID:        jobID,\n    43→\t\tCluster:      \"testcluster\",\n    44→\t\tSubCluster:   \"sc0\",\n    45→\t\tProject:      \"testproject\",\n    46→\t\tUser:         \"testuser\",\n    47→\t\tState:        schema.JobStateCompleted,\n    48→\t\tStartTime:    1700000000,\n    49→\t\tDuration:     3600,\n    50→\t\tWalltime:     7200,\n    51→\t\tNumNodes:     2,\n    52→\t\tNumHWThreads: 16,\n    53→\t\tSMT:          1,\n    54→\t\tResources: []*schema.Resource{\n    55→\t\t\t{Hostname: \"node001\"},\n    56→\t\t\t{Hostname: \"node002\"},\n    57→\t\t},\n    58→\t}\n    59→\n    60→\tdata := schema.JobData{\n    61→\t\t\"cpu_load\": {\n    62→\t\t\tschema.MetricScopeNode: &schema.JobMetric{\n    63→\t\t\t\tUnit:     schema.Unit{Base: \"\"},\n    64→\t\t\t\tTimestep: 60,\n    65→\t\t\t\tSeries: []schema.Series{\n    66→\t\t\t\t\t{\n    67→\t\t\t\t\t\tHostname: \"node001\",\n    68→\t\t\t\t\t\tData:     []schema.Float{1.0, 2.0, 3.0},\n    69→\t\t\t\t\t},\n    70→\t\t\t\t},\n    71→\t\t\t},\n    72→\t\t},\n    73→\t}\n    74→\n    75→\treturn meta, &data\n    76→}\n    77→\n    78→func TestJobToParquetRowConversion(t *testing.T) {\n    79→\tmeta, data := makeTestJob(1001)\n    80→\tmeta.Tags = []*schema.Tag{{Type: \"test\", Name: \"tag1\"}}\n    81→\tmeta.MetaData = map[string]string{\"key\": \"value\"}\n    82→\n    83→\trow, err := JobToParquetRow(meta, data)\n    84→\tif err != nil {\n    85→\t\tt.Fatalf(\"JobToParquetRow: %v\", err)\n    86→\t}\n    87→\n    88→\tif row.JobID != 1001 {\n    89→\t\tt.Errorf(\"JobID = %d, want 1001\", row.JobID)\n    90→\t}\n    91→\tif row.Cluster != \"testcluster\" {\n    92→\t\tt.Errorf(\"Cluster = %q, want %q\", row.Cluster, \"testcluster\")\n    93→\t}\n    94→\tif row.User != \"testuser\" {\n    95→\t\tt.Errorf(\"User = %q, want %q\", row.User, \"testuser\")\n    96→\t}\n    97→\tif row.State != \"completed\" {\n    98→\t\tt.Errorf(\"State = %q, want %q\", row.State, \"completed\")\n    99→\t}\n   100→\tif row.NumNodes != 2 {\n   101→\t\tt.Errorf(\"NumNodes = %d, want 2\", row.NumNodes)\n   102→\t}\n   103→\n   104→\t// Verify resources JSON\n   105→\tvar resources []*schema.Resource\n   106→\tif err := json.Unmarshal(row.ResourcesJSON, &resources); err != nil {\n   107→\t\tt.Fatalf(\"unmarshal resources: %v\", err)\n   108→\t}\n   109→\tif len(resources) != 2 {\n   110→\t\tt.Errorf(\"resources len = %d, want 2\", len(resources))\n   111→\t}\n   112→\n   113→\t// Verify tags JSON\n   114→\tvar tags []*schema.Tag\n   115→\tif err := json.Unmarshal(row.TagsJSON, &tags); err != nil {\n   116→\t\tt.Fatalf(\"unmarshal tags: %v\", err)\n   117→\t}\n   118→\tif len(tags) != 1 || tags[0].Name != \"tag1\" {\n   119→\t\tt.Errorf(\"tags = %v, want [{test tag1}]\", tags)\n   120→\t}\n   121→\n   122→\t// Verify metric data is gzip-compressed valid JSON\n   123→\tgz, err := gzip.NewReader(bytes.NewReader(row.MetricDataGz))\n   124→\tif err != nil {\n   125→\t\tt.Fatalf(\"gzip reader: %v\", err)\n   126→\t}\n   127→\tdecompressed, err := io.ReadAll(gz)\n   128→\tif err != nil {\n   129→\t\tt.Fatalf(\"gzip read: %v\", err)\n   130→\t}\n   131→\tvar jobData schema.JobData\n   132→\tif err := json.Unmarshal(decompressed, &jobData); err != nil {\n   133→\t\tt.Fatalf(\"unmarshal metric data: %v\", err)\n   134→\t}\n   135→\tif _, ok := jobData[\"cpu_load\"]; !ok {\n   136→\t\tt.Error(\"metric data missing cpu_load key\")\n   137→\t}\n   138→}\n   139→\n   140→func TestParquetWriterSingleBatch(t *testing.T) {\n   141→\ttarget := newMemTarget()\n   142→\tpw := NewParquetWriter(target, 512)\n   143→\n   144→\tfor i := range int64(5) {\n   145→\t\tmeta, data := makeTestJob(i)\n   146→\t\trow, err := JobToParquetRow(meta, data)\n   147→\t\tif err != nil {\n   148→\t\t\tt.Fatalf(\"convert job %d: %v\", i, err)\n   149→\t\t}\n   150→\t\tif err := pw.AddJob(*row); err != nil {\n   151→\t\t\tt.Fatalf(\"add job %d: %v\", i, err)\n   152→\t\t}\n   153→\t}\n   154→\n   155→\tif err := pw.Close(); err != nil {\n   156→\t\tt.Fatalf(\"close: %v\", err)\n   157→\t}\n   158→\n   159→\tif len(target.files) != 1 {\n   160→\t\tt.Fatalf(\"expected 1 file, got %d\", len(target.files))\n   161→\t}\n   162→\n   163→\t// Verify the parquet file is readable\n   164→\tfor name, data := range target.files {\n   165→\t\tfile := bytes.NewReader(data)\n   166→\t\tpf, err := pq.OpenFile(file, int64(len(data)))\n   167→\t\tif err != nil {\n   168→\t\t\tt.Fatalf(\"open parquet %s: %v\", name, err)\n   169→\t\t}\n   170→\t\tif pf.NumRows() != 5 {\n   171→\t\t\tt.Errorf(\"parquet rows = %d, want 5\", pf.NumRows())\n   172→\t\t}\n   173→\t}\n   174→}\n   175→\n   176→func TestParquetWriterBatching(t *testing.T) {\n   177→\ttarget := newMemTarget()\n   178→\t// Use a very small max size to force multiple files\n   179→\tpw := NewParquetWriter(target, 0) // 0 MB means every job triggers a flush\n   180→\tpw.maxSizeBytes = 1               // Force flush after every row\n   181→\n   182→\tfor i := range int64(3) {\n   183→\t\tmeta, data := makeTestJob(i)\n   184→\t\trow, err := JobToParquetRow(meta, data)\n   185→\t\tif err != nil {\n   186→\t\t\tt.Fatalf(\"convert job %d: %v\", i, err)\n   187→\t\t}\n   188→\t\tif err := pw.AddJob(*row); err != nil {\n   189→\t\t\tt.Fatalf(\"add job %d: %v\", i, err)\n   190→\t\t}\n   191→\t}\n   192→\n   193→\tif err := pw.Close(); err != nil {\n   194→\t\tt.Fatalf(\"close: %v\", err)\n   195→\t}\n   196→\n   197→\t// With maxSizeBytes=1, each AddJob should flush the previous batch,\n   198→\t// resulting in multiple files\n   199→\tif len(target.files) < 2 {\n   200→\t\tt.Errorf(\"expected multiple files due to batching, got %d\", len(target.files))\n   201→\t}\n   202→\n   203→\t// Verify all files are valid parquet\n   204→\tfor name, data := range target.files {\n   205→\t\tfile := bytes.NewReader(data)\n   206→\t\t_, err := pq.OpenFile(file, int64(len(data)))\n   207→\t\tif err != nil {\n   208→\t\t\tt.Errorf(\"invalid parquet file %s: %v\", name, err)\n   209→\t\t}\n   210→\t}\n   211→}\n   212→\n   213→func TestFileTarget(t *testing.T) {\n   214→\tdir := t.TempDir()\n   215→\tft, err := NewFileTarget(dir)\n   216→\tif err != nil {\n   217→\t\tt.Fatalf(\"NewFileTarget: %v\", err)\n   218→\t}\n   219→\n   220→\ttestData := []byte(\"test parquet data\")\n   221→\tif err := ft.WriteFile(\"test.parquet\", testData); err != nil {\n   222→\t\tt.Fatalf(\"WriteFile: %v\", err)\n   223→\t}\n   224→\n   225→\t// Verify file exists and has correct content\n   226→\t// (using the target itself is sufficient; we just check no error)\n   227→}\n   228→\n   229→func TestFileTargetSubdirectories(t *testing.T) {\n   230→\tdir := t.TempDir()\n   231→\tft, err := NewFileTarget(dir)\n   232→\tif err != nil {\n   233→\t\tt.Fatalf(\"NewFileTarget: %v\", err)\n   234→\t}\n   235→\n   236→\ttestData := []byte(\"test data in subdir\")\n   237→\tif err := ft.WriteFile(\"fritz/cc-archive-2025-01-20-001.parquet\", testData); err != nil {\n   238→\t\tt.Fatalf(\"WriteFile with subdir: %v\", err)\n   239→\t}\n   240→\n   241→\t// Verify file was created in subdirectory\n   242→\tcontent, err := os.ReadFile(filepath.Join(dir, \"fritz\", \"cc-archive-2025-01-20-001.parquet\"))\n   243→\tif err != nil {\n   244→\t\tt.Fatalf(\"read file in subdir: %v\", err)\n   245→\t}\n   246→\tif !bytes.Equal(content, testData) {\n   247→\t\tt.Error(\"file content mismatch\")\n   248→\t}\n   249→}\n   250→\n   251→func makeTestJobForCluster(jobID int64, cluster string) (*schema.Job, *schema.JobData) {\n   252→\tmeta, data := makeTestJob(jobID)\n   253→\tmeta.Cluster = cluster\n   254→\treturn meta, data\n   255→}\n   256→\n   257→func TestClusterAwareParquetWriter(t *testing.T) {\n   258→\ttarget := newMemTarget()\n   259→\tcw := NewClusterAwareParquetWriter(target, 512)\n   260→\n   261→\t// Set cluster configs\n   262→\tcw.SetClusterConfig(\"fritz\", &schema.Cluster{Name: \"fritz\"})\n   263→\tcw.SetClusterConfig(\"alex\", &schema.Cluster{Name: \"alex\"})\n   264→\n   265→\t// Add jobs from different clusters\n   266→\tfor i := range int64(3) {\n   267→\t\tmeta, data := makeTestJobForCluster(i, \"fritz\")\n   268→\t\trow, err := JobToParquetRow(meta, data)\n   269→\t\tif err != nil {\n   270→\t\t\tt.Fatalf(\"convert fritz job %d: %v\", i, err)\n   271→\t\t}\n   272→\t\tif err := cw.AddJob(*row); err != nil {\n   273→\t\t\tt.Fatalf(\"add fritz job %d: %v\", i, err)\n   274→\t\t}\n   275→\t}\n   276→\n   277→\tfor i := int64(10); i < 12; i++ {\n   278→\t\tmeta, data := makeTestJobForCluster(i, \"alex\")\n   279→\t\trow, err := JobToParquetRow(meta, data)\n   280→\t\tif err != nil {\n   281→\t\t\tt.Fatalf(\"convert alex job %d: %v\", i, err)\n   282→\t\t}\n   283→\t\tif err := cw.AddJob(*row); err != nil {\n   284→\t\t\tt.Fatalf(\"add alex job %d: %v\", i, err)\n   285→\t\t}\n   286→\t}\n   287→\n   288→\tif err := cw.Close(); err != nil {\n   289→\t\tt.Fatalf(\"close: %v\", err)\n   290→\t}\n   291→\n   292→\ttarget.mu.Lock()\n   293→\tdefer target.mu.Unlock()\n   294→\n   295→\t// Check cluster.json files were written\n   296→\tif _, ok := target.files[\"fritz/cluster.json\"]; !ok {\n   297→\t\tt.Error(\"missing fritz/cluster.json\")\n   298→\t}\n   299→\tif _, ok := target.files[\"alex/cluster.json\"]; !ok {\n   300→\t\tt.Error(\"missing alex/cluster.json\")\n   301→\t}\n   302→\n   303→\t// Verify cluster.json content\n   304→\tvar clusterCfg schema.Cluster\n   305→\tif err := json.Unmarshal(target.files[\"fritz/cluster.json\"], &clusterCfg); err != nil {\n   306→\t\tt.Fatalf(\"unmarshal fritz cluster.json: %v\", err)\n   307→\t}\n   308→\tif clusterCfg.Name != \"fritz\" {\n   309→\t\tt.Errorf(\"fritz cluster name = %q, want %q\", clusterCfg.Name, \"fritz\")\n   310→\t}\n   311→\n   312→\t// Check parquet files are in cluster subdirectories\n   313→\tfritzParquets := 0\n   314→\talexParquets := 0\n   315→\tfor name := range target.files {\n   316→\t\tif strings.HasPrefix(name, \"fritz/\") && strings.HasSuffix(name, \".parquet\") {\n   317→\t\t\tfritzParquets++\n   318→\t\t}\n   319→\t\tif strings.HasPrefix(name, \"alex/\") && strings.HasSuffix(name, \".parquet\") {\n   320→\t\t\talexParquets++\n   321→\t\t}\n   322→\t}\n   323→\tif fritzParquets == 0 {\n   324→\t\tt.Error(\"no parquet files in fritz/\")\n   325→\t}\n   326→\tif alexParquets == 0 {\n   327→\t\tt.Error(\"no parquet files in alex/\")\n   328→\t}\n   329→\n   330→\t// Verify parquet files are readable and have correct row counts\n   331→\tfor name, data := range target.files {\n   332→\t\tif !strings.HasSuffix(name, \".parquet\") {\n   333→\t\t\tcontinue\n   334→\t\t}\n   335→\t\tfile := bytes.NewReader(data)\n   336→\t\tpf, err := pq.OpenFile(file, int64(len(data)))\n   337→\t\tif err != nil {\n   338→\t\t\tt.Errorf(\"open parquet %s: %v\", name, err)\n   339→\t\t\tcontinue\n   340→\t\t}\n   341→\t\tif strings.HasPrefix(name, \"fritz/\") && pf.NumRows() != 3 {\n   342→\t\t\tt.Errorf(\"fritz parquet rows = %d, want 3\", pf.NumRows())\n   343→\t\t}\n   344→\t\tif strings.HasPrefix(name, \"alex/\") && pf.NumRows() != 2 {\n   345→\t\t\tt.Errorf(\"alex parquet rows = %d, want 2\", pf.NumRows())\n   346→\t\t}\n   347→\t}\n   348→}\n   349→\n   350→func TestClusterAwareParquetWriterEmpty(t *testing.T) {\n   351→\ttarget := newMemTarget()\n   352→\tcw := NewClusterAwareParquetWriter(target, 512)\n   353→\n   354→\tif err := cw.Close(); err != nil {\n   355→\t\tt.Fatalf(\"close empty writer: %v\", err)\n   356→\t}\n   357→\n   358→\tif len(target.files) != 0 {\n   359→\t\tt.Errorf(\"expected no files for empty writer, got %d\", len(target.files))\n   360→\t}\n   361→}\n   362→"}]},"uuid":"865a5a9f-707f-48e4-bb93-014ea57a5d56","timestamp":"2026-03-18T04:02:45.392Z"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"69813891-a882-4c15-a8fa-e014769cea16","timestamp":"2026-03-18T04:02:45.750Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"d375b321-0773-492e-9b97-ebedbb6df8ed","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0151RaganG7v9p6HapDxL61S","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package metricstore\n     7→\n     8→import (\n     9→\t\"encoding/json\"\n    10→\t\"os\"\n    11→\t\"path/filepath\"\n    12→\t\"testing\"\n    13→\n    14→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    15→\tpq \"github.com/parquet-go/parquet-go\"\n    16→)\n    17→\n    18→func TestParseScopeFromName(t *testing.T) {\n    19→\ttests := []struct {\n    20→\t\tname      string\n    21→\t\twantScope string\n    22→\t\twantID    string\n    23→\t}{\n    24→\t\t{\"socket0\", \"socket\", \"0\"},\n    25→\t\t{\"socket12\", \"socket\", \"12\"},\n    26→\t\t{\"core0\", \"core\", \"0\"},\n    27→\t\t{\"core127\", \"core\", \"127\"},\n    28→\t\t{\"cpu0\", \"hwthread\", \"0\"},\n    29→\t\t{\"hwthread5\", \"hwthread\", \"5\"},\n    30→\t\t{\"memoryDomain0\", \"memoryDomain\", \"0\"},\n    31→\t\t{\"accelerator0\", \"accelerator\", \"0\"},\n    32→\t\t{\"unknown\", \"unknown\", \"\"},\n    33→\t\t{\"socketX\", \"socketX\", \"\"}, // not numeric suffix\n    34→\t}\n    35→\n    36→\tfor _, tt := range tests {\n    37→\t\tt.Run(tt.name, func(t *testing.T) {\n    38→\t\t\tscope, id := parseScopeFromName(tt.name)\n    39→\t\t\tif scope != tt.wantScope || id != tt.wantID {\n    40→\t\t\t\tt.Errorf(\"parseScopeFromName(%q) = (%q, %q), want (%q, %q)\",\n    41→\t\t\t\t\ttt.name, scope, id, tt.wantScope, tt.wantID)\n    42→\t\t\t}\n    43→\t\t})\n    44→\t}\n    45→}\n    46→\n    47→func TestFlattenCheckpointFile(t *testing.T) {\n    48→\tcf := &CheckpointFile{\n    49→\t\tFrom: 1000,\n    50→\t\tTo:   1060,\n    51→\t\tMetrics: map[string]*CheckpointMetrics{\n    52→\t\t\t\"cpu_load\": {\n    53→\t\t\t\tFrequency: 60,\n    54→\t\t\t\tStart:     1000,\n    55→\t\t\t\tData:      []schema.Float{0.5, 0.7, schema.NaN},\n    56→\t\t\t},\n    57→\t\t},\n    58→\t\tChildren: map[string]*CheckpointFile{\n    59→\t\t\t\"socket0\": {\n    60→\t\t\t\tMetrics: map[string]*CheckpointMetrics{\n    61→\t\t\t\t\t\"mem_bw\": {\n    62→\t\t\t\t\t\tFrequency: 60,\n    63→\t\t\t\t\t\tStart:     1000,\n    64→\t\t\t\t\t\tData:      []schema.Float{100.0, schema.NaN, 200.0},\n    65→\t\t\t\t\t},\n    66→\t\t\t\t},\n    67→\t\t\t\tChildren: make(map[string]*CheckpointFile),\n    68→\t\t\t},\n    69→\t\t},\n    70→\t}\n    71→\n    72→\trows := flattenCheckpointFile(cf, \"fritz\", \"node001\", \"node\", \"\", nil)\n    73→\n    74→\t// cpu_load: 2 non-NaN values at node scope\n    75→\t// mem_bw: 2 non-NaN values at socket0 scope\n    76→\tif len(rows) != 4 {\n    77→\t\tt.Fatalf(\"expected 4 rows, got %d\", len(rows))\n    78→\t}\n    79→\n    80→\t// Verify a node-scope row\n    81→\tfound := false\n    82→\tfor _, r := range rows {\n    83→\t\tif r.Metric == \"cpu_load\" && r.Timestamp == 1000 {\n    84→\t\t\tfound = true\n    85→\t\t\tif r.Cluster != \"fritz\" || r.Hostname != \"node001\" || r.Scope != \"node\" || r.Value != 0.5 {\n    86→\t\t\t\tt.Errorf(\"unexpected row: %+v\", r)\n    87→\t\t\t}\n    88→\t\t}\n    89→\t}\n    90→\tif !found {\n    91→\t\tt.Error(\"expected cpu_load row at timestamp 1000\")\n    92→\t}\n    93→\n    94→\t// Verify a socket-scope row\n    95→\tfound = false\n    96→\tfor _, r := range rows {\n    97→\t\tif r.Metric == \"mem_bw\" && r.Scope == \"socket\" && r.ScopeID == \"0\" {\n    98→\t\t\tfound = true\n    99→\t\t}\n   100→\t}"}]},"uuid":"006ccb9d-700f-450a-bf59-9cad994307be","timestamp":"2026-03-18T04:02:45.793Z"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"e381436a-7b60-4aae-9090-e89ce5d7ccc4","timestamp":"2026-03-18T04:02:45.794Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
+{"parentUuid":"e381436a-7b60-4aae-9090-e89ce5d7ccc4","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Agent","command":"entire hooks claude-code post-task"},"parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","toolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","timestamp":"2026-03-18T04:03:01.631Z","uuid":"d5eaffb2-6268-4c4c-9d3a-8c6fb5d797bc","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
+{"parentUuid":"dd911687-ef19-4727-bc02-483d0b5ffab8","isSidechain":false,"promptId":"ba68d540-ba70-4f66-94e7-2c9d72fab3f4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","type":"tool_result","content":[{"type":"text","text":"Perfect! I now have a comprehensive understanding of all parquet writing code in the codebase. Let me compile my findings:\n\n## Comprehensive Report: All Parquet Writing Usage in CC-Backend\n\nBased on my thorough search, I found **3 major parquet writing code paths** with specific accumulation patterns:\n\n### 1. **Job Retention/Archiving via ParquetWriter** \n**File**: `/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go` (lines 20-106)\n\n**Row Accumulation Pattern**:\n- `ParquetWriter` struct (line 22) accumulates `[]ParquetJobRow` in field `rows` (line 25)\n- `AddJob()` method (line 43) appends rows to the slice\n- When `currentSize + rowSize > maxSizeBytes` (line 46), `Flush()` is called\n- `Flush()` (line 58) calls `writeParquetBytes(pw.rows)` (line 66) which creates a `pq.NewGenericWriter[ParquetJobRow]` (line 89)\n\n**GenericWriter Usage** (line 89):\n```go\nwriter := pq.NewGenericWriter[ParquetJobRow](&buf,\n    pq.Compression(&pq.Zstd),\n    pq.SortingWriterConfig(pq.SortingColumns(\n        pq.Ascending(\"sub_cluster\"),\n        pq.Ascending(\"project\"),\n        pq.Ascending(\"start_time\"),\n    )),\n)\n```\n\n**Called from**: `/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go` (lines 108-149)\n- `transferJobsParquet()` creates `pqarchive.NewClusterAwareParquetWriter()` (line 109)\n- Iterates jobs, converts to ParquetJobRow via `pqarchive.JobToParquetRow()` (line 137), calls `cw.AddJob()` (line 142)\n\n---\n\n### 2. **Cluster-Aware Job Retention via ClusterAwareParquetWriter**\n**File**: `/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go` (lines 133-186)\n\n**Row Accumulation Pattern**:\n- `ClusterAwareParquetWriter` (line 135) maintains `writers map[string]*ParquetWriter` (line 138)\n- Each cluster gets its own `ParquetWriter` instance\n- `AddJob()` (line 158) routes to the appropriate cluster's writer\n- Same row accumulation and batching as ParquetWriter above\n\n**Called from**: \n- `/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go` lines 109, 260, 311\n  - `RegisterRetentionCopyService()` (line 232)\n  - `RegisterRetentionMoveService()` (line 285)\n\n---\n\n### 3. **Node State Retention via NodeStateParquetWriter**\n**File**: `/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/nodestate_writer.go` (lines 17-111)\n\n**Row Accumulation Pattern**:\n- `NodeStateParquetWriter` struct (line 19) accumulates `[]ParquetNodeStateRow` in field `rows` (line 22)\n- `AddRow()` method (line 39) appends rows with size tracking\n- When `currentSize + rowSize > maxSizeBytes` (line 42), `Flush()` is called\n- `Flush()` (line 54) calls `writeNodeStateParquetBytes(pw.rows)` (line 62)\n\n**GenericWriter Usage** (line 85):\n```go\nwriter := pq.NewGenericWriter[ParquetNodeStateRow](&buf,\n    pq.Compression(&pq.Zstd),\n    pq.SortingWriterConfig(pq.SortingColumns(\n        pq.Ascending(\"cluster\"),\n        pq.Ascending(\"subcluster\"),\n        pq.Ascending(\"hostname\"),\n        pq.Ascending(\"time_stamp\"),\n    )),\n)\n```\n\n**Called from**: `/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go` (lines 35-120)\n- `RegisterNodeStateRetentionMoveService()` (line 35)\n- Creates `pqarchive.NewNodeStateParquetWriter()` (line 86)\n- Finds old nodestate rows via `nodeRepo.FindNodeStatesBefore()` (line 76)\n- Iterates rows, creates `ParquetNodeStateRow` structs, calls `pw.AddRow()` (line 102)\n\n---\n\n### 4. **Metric Archive via parquetArchiveWriter (Checkpoint Streaming)**\n**File**: `/Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive.go` (lines 95-160)\n\n**Row Accumulation Pattern**:\n- `parquetArchiveWriter` struct (line 98) uses `*pq.GenericWriter[ParquetMetricRow]` directly (line 99)\n- Does **NOT** accumulate rows in memory; instead writes incrementally via `WriteHostRows()` (line 127)\n- Each host's data is sorted by (metric, timestamp) then written as a separate row group\n\n**GenericWriter Creation** (line 118):\n```go\nwriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n    pq.Compression(&pq.Zstd),\n)\n```\n\n**Data Source**: \n- `archiveCheckpointsToParquet()` (line 236) pre-allocates row slice and flattens checkpoint files\n- `flattenCheckpointFile()` (line 38) recursively converts CheckpointFile tree to `[]ParquetMetricRow`\n- Pre-allocation estimate via `estimateRowCount()` (line 223)\n\n**Called from**: `/Users/jan/prg/CC/cc-backend/pkg/metricstore/archive.go` (lines 86-300)\n- `archiveCheckpoints()` (line 173) \n- Workers pool pattern processes per-host checkpoint directories\n- Each host's rows written via `writer.WriteHostRows()` (line 260) at line 260\n- Creates streaming archive from metrics checkpoints to Parquet files in format: `<cleanupDir>/<cluster>/<timestamp>.parquet`\n\n---\n\n### Summary of Row Accumulation Patterns:\n\n| Location | Row Type | Struct Field | Batching | Trigger |\n|----------|----------|--------------|----------|---------|\n| `pkg/archive/parquet/writer.go` | `ParquetJobRow` | `rows []ParquetJobRow` | Yes | Size > maxSizeBytes |\n| `pkg/archive/parquet/nodestate_writer.go` | `ParquetNodeStateRow` | `rows []ParquetNodeStateRow` | Yes | Size > maxSizeBytes |\n| `pkg/metricstore/parquetArchive.go` | `ParquetMetricRow` | Pre-allocated slice | No | Per-host row group |\n\n### Key Implementation Details:\n\n1. **Job/NodeState Writers** use batching to avoid OOM on large datasets\n2. **Metric Archive Writer** uses streaming row groups instead of full accumulation\n3. All use `pq.NewGenericWriter` with `pq.Compression(&pq.Zstd)` for compression\n4. Job and NodeState writers use `pq.SortingWriterConfig` for column ordering\n5. Row estimation via struct field size calculation before writing\n6. All integrate with parquet-go library's generic writer API"},{"type":"text","text":"agentId: a54ce42db3d7e6a75 (for resuming to continue this agent's work if needed)\n<usage>total_tokens: 51623\ntool_uses: 17\nduration_ms: 29238</usage>"}]}]},"uuid":"dea76866-f55f-45b0-87d1-b546550a70bd","timestamp":"2026-03-18T04:03:01.630Z","toolUseResult":{"status":"completed","prompt":"Search the codebase for ALL uses of parquet writing - any place that writes parquet files, accumulates rows into slices for parquet, or uses parquet-go's GenericWriter. Look specifically for:\n\n1. Any usage of `pq.NewGenericWriter`, `pq.GenericWriter`, `SortingWriterConfig`, or `writeParquetArchive`\n2. Any function that accumulates `[]ParquetMetricRow` or similar row slices\n3. Nodestate retention or archiving code that might write parquet\n4. Any other archiving/retention code paths\n\nSearch thoroughly - check pkg/, internal/, and any other directories. Report the exact file paths, line numbers, and the accumulation patterns you find.","agentId":"a54ce42db3d7e6a75","content":[{"type":"text","text":"Perfect! I now have a comprehensive understanding of all parquet writing code in the codebase. Let me compile my findings:\n\n## Comprehensive Report: All Parquet Writing Usage in CC-Backend\n\nBased on my thorough search, I found **3 major parquet writing code paths** with specific accumulation patterns:\n\n### 1. **Job Retention/Archiving via ParquetWriter** \n**File**: `/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go` (lines 20-106)\n\n**Row Accumulation Pattern**:\n- `ParquetWriter` struct (line 22) accumulates `[]ParquetJobRow` in field `rows` (line 25)\n- `AddJob()` method (line 43) appends rows to the slice\n- When `currentSize + rowSize > maxSizeBytes` (line 46), `Flush()` is called\n- `Flush()` (line 58) calls `writeParquetBytes(pw.rows)` (line 66) which creates a `pq.NewGenericWriter[ParquetJobRow]` (line 89)\n\n**GenericWriter Usage** (line 89):\n```go\nwriter := pq.NewGenericWriter[ParquetJobRow](&buf,\n    pq.Compression(&pq.Zstd),\n    pq.SortingWriterConfig(pq.SortingColumns(\n        pq.Ascending(\"sub_cluster\"),\n        pq.Ascending(\"project\"),\n        pq.Ascending(\"start_time\"),\n    )),\n)\n```\n\n**Called from**: `/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go` (lines 108-149)\n- `transferJobsParquet()` creates `pqarchive.NewClusterAwareParquetWriter()` (line 109)\n- Iterates jobs, converts to ParquetJobRow via `pqarchive.JobToParquetRow()` (line 137), calls `cw.AddJob()` (line 142)\n\n---\n\n### 2. **Cluster-Aware Job Retention via ClusterAwareParquetWriter**\n**File**: `/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go` (lines 133-186)\n\n**Row Accumulation Pattern**:\n- `ClusterAwareParquetWriter` (line 135) maintains `writers map[string]*ParquetWriter` (line 138)\n- Each cluster gets its own `ParquetWriter` instance\n- `AddJob()` (line 158) routes to the appropriate cluster's writer\n- Same row accumulation and batching as ParquetWriter above\n\n**Called from**: \n- `/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go` lines 109, 260, 311\n  - `RegisterRetentionCopyService()` (line 232)\n  - `RegisterRetentionMoveService()` (line 285)\n\n---\n\n### 3. **Node State Retention via NodeStateParquetWriter**\n**File**: `/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/nodestate_writer.go` (lines 17-111)\n\n**Row Accumulation Pattern**:\n- `NodeStateParquetWriter` struct (line 19) accumulates `[]ParquetNodeStateRow` in field `rows` (line 22)\n- `AddRow()` method (line 39) appends rows with size tracking\n- When `currentSize + rowSize > maxSizeBytes` (line 42), `Flush()` is called\n- `Flush()` (line 54) calls `writeNodeStateParquetBytes(pw.rows)` (line 62)\n\n**GenericWriter Usage** (line 85):\n```go\nwriter := pq.NewGenericWriter[ParquetNodeStateRow](&buf,\n    pq.Compression(&pq.Zstd),\n    pq.SortingWriterConfig(pq.SortingColumns(\n        pq.Ascending(\"cluster\"),\n        pq.Ascending(\"subcluster\"),\n        pq.Ascending(\"hostname\"),\n        pq.Ascending(\"time_stamp\"),\n    )),\n)\n```\n\n**Called from**: `/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go` (lines 35-120)\n- `RegisterNodeStateRetentionMoveService()` (line 35)\n- Creates `pqarchive.NewNodeStateParquetWriter()` (line 86)\n- Finds old nodestate rows via `nodeRepo.FindNodeStatesBefore()` (line 76)\n- Iterates rows, creates `ParquetNodeStateRow` structs, calls `pw.AddRow()` (line 102)\n\n---\n\n### 4. **Metric Archive via parquetArchiveWriter (Checkpoint Streaming)**\n**File**: `/Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive.go` (lines 95-160)\n\n**Row Accumulation Pattern**:\n- `parquetArchiveWriter` struct (line 98) uses `*pq.GenericWriter[ParquetMetricRow]` directly (line 99)\n- Does **NOT** accumulate rows in memory; instead writes incrementally via `WriteHostRows()` (line 127)\n- Each host's data is sorted by (metric, timestamp) then written as a separate row group\n\n**GenericWriter Creation** (line 118):\n```go\nwriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n    pq.Compression(&pq.Zstd),\n)\n```\n\n**Data Source**: \n- `archiveCheckpointsToParquet()` (line 236) pre-allocates row slice and flattens checkpoint files\n- `flattenCheckpointFile()` (line 38) recursively converts CheckpointFile tree to `[]ParquetMetricRow`\n- Pre-allocation estimate via `estimateRowCount()` (line 223)\n\n**Called from**: `/Users/jan/prg/CC/cc-backend/pkg/metricstore/archive.go` (lines 86-300)\n- `archiveCheckpoints()` (line 173) \n- Workers pool pattern processes per-host checkpoint directories\n- Each host's rows written via `writer.WriteHostRows()` (line 260) at line 260\n- Creates streaming archive from metrics checkpoints to Parquet files in format: `<cleanupDir>/<cluster>/<timestamp>.parquet`\n\n---\n\n### Summary of Row Accumulation Patterns:\n\n| Location | Row Type | Struct Field | Batching | Trigger |\n|----------|----------|--------------|----------|---------|\n| `pkg/archive/parquet/writer.go` | `ParquetJobRow` | `rows []ParquetJobRow` | Yes | Size > maxSizeBytes |\n| `pkg/archive/parquet/nodestate_writer.go` | `ParquetNodeStateRow` | `rows []ParquetNodeStateRow` | Yes | Size > maxSizeBytes |\n| `pkg/metricstore/parquetArchive.go` | `ParquetMetricRow` | Pre-allocated slice | No | Per-host row group |\n\n### Key Implementation Details:\n\n1. **Job/NodeState Writers** use batching to avoid OOM on large datasets\n2. **Metric Archive Writer** uses streaming row groups instead of full accumulation\n3. All use `pq.NewGenericWriter` with `pq.Compression(&pq.Zstd)` for compression\n4. Job and NodeState writers use `pq.SortingWriterConfig` for column ordering\n5. Row estimation via struct field size calculation before writing\n6. All integrate with parquet-go library's generic writer API"}],"totalDurationMs":29238,"totalTokens":51623,"totalToolUseCount":17,"usage":{"input_tokens":6,"cache_creation_input_tokens":6652,"cache_read_input_tokens":43056,"output_tokens":1909,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":6652},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"dd911687-ef19-4727-bc02-483d0b5ffab8","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"6ef33ff4-6796-4ef0-b60a-8faf052d22c6","isSidechain":false,"promptId":"ba68d540-ba70-4f66-94e7-2c9d72fab3f4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011Fh6gGsv7PiP7UZ5Fzn1HF","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package parquet\n     7→\n     8→import (\n     9→\t\"bytes\"\n    10→\t\"encoding/json\"\n    11→\t\"fmt\"\n    12→\t\"path\"\n    13→\t\"time\"\n    14→\n    15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    16→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    17→\tpq \"github.com/parquet-go/parquet-go\"\n    18→)\n    19→\n    20→// ParquetWriter batches ParquetJobRows and flushes them to a target\n    21→// when the estimated size exceeds maxSizeBytes.\n    22→type ParquetWriter struct {\n    23→\ttarget       ParquetTarget\n    24→\tmaxSizeBytes int64\n    25→\trows         []ParquetJobRow\n    26→\tcurrentSize  int64\n    27→\tfileCounter  int\n    28→\tdatePrefix   string\n    29→}\n    30→\n    31→// NewParquetWriter creates a new writer that flushes batches to the given target.\n    32→// maxSizeMB sets the approximate maximum size per parquet file in megabytes.\n    33→func NewParquetWriter(target ParquetTarget, maxSizeMB int) *ParquetWriter {\n    34→\treturn &ParquetWriter{\n    35→\t\ttarget:       target,\n    36→\t\tmaxSizeBytes: int64(maxSizeMB) * 1024 * 1024,\n    37→\t\tdatePrefix:   time.Now().Format(\"2006-01-02\"),\n    38→\t}\n    39→}\n    40→\n    41→// AddJob adds a row to the current batch. If the estimated batch size\n    42→// exceeds the configured maximum, the batch is flushed to the target first.\n    43→func (pw *ParquetWriter) AddJob(row ParquetJobRow) error {\n    44→\trowSize := estimateRowSize(&row)\n    45→\n    46→\tif pw.currentSize+rowSize > pw.maxSizeBytes && len(pw.rows) > 0 {\n    47→\t\tif err := pw.Flush(); err != nil {\n    48→\t\t\treturn err\n    49→\t\t}\n    50→\t}\n    51→\n    52→\tpw.rows = append(pw.rows, row)\n    53→\tpw.currentSize += rowSize\n    54→\treturn nil\n    55→}\n    56→\n    57→// Flush writes the current batch to a parquet file on the target.\n    58→func (pw *ParquetWriter) Flush() error {\n    59→\tif len(pw.rows) == 0 {\n    60→\t\treturn nil\n    61→\t}\n    62→\n    63→\tpw.fileCounter++\n    64→\tfileName := fmt.Sprintf(\"cc-archive-%s-%03d.parquet\", pw.datePrefix, pw.fileCounter)\n    65→\n    66→\tdata, err := writeParquetBytes(pw.rows)\n    67→\tif err != nil {\n    68→\t\treturn fmt.Errorf(\"write parquet buffer: %w\", err)\n    69→\t}\n    70→\n    71→\tif err := pw.target.WriteFile(fileName, data); err != nil {\n    72→\t\treturn fmt.Errorf(\"write parquet file %q: %w\", fileName, err)\n    73→\t}\n    74→\n    75→\tcclog.Infof(\"Parquet retention: wrote %s (%d jobs, %d bytes)\", fileName, len(pw.rows), len(data))\n    76→\tpw.rows = pw.rows[:0]\n    77→\tpw.currentSize = 0\n    78→\treturn nil\n    79→}\n    80→\n    81→// Close flushes any remaining rows and finalizes the writer.\n    82→func (pw *ParquetWriter) Close() error {\n    83→\treturn pw.Flush()\n    84→}\n    85→\n    86→func writeParquetBytes(rows []ParquetJobRow) ([]byte, error) {\n    87→\tvar buf bytes.Buffer\n    88→\n    89→\twriter := pq.NewGenericWriter[ParquetJobRow](&buf,\n    90→\t\tpq.Compression(&pq.Zstd),\n    91→\t\tpq.SortingWriterConfig(pq.SortingColumns(\n    92→\t\t\tpq.Ascending(\"sub_cluster\"),\n    93→\t\t\tpq.Ascending(\"project\"),\n    94→\t\t\tpq.Ascending(\"start_time\"),\n    95→\t\t)),\n    96→\t)\n    97→\n    98→\tif _, err := writer.Write(rows); err != nil {\n    99→\t\treturn nil, err\n   100→\t}\n   101→\tif err := writer.Close(); err != nil {\n   102→\t\treturn nil, err\n   103→\t}\n   104→\n   105→\treturn buf.Bytes(), nil\n   106→}\n   107→\n   108→func estimateRowSize(row *ParquetJobRow) int64 {\n   109→\t// Fixed fields: ~100 bytes for numeric fields + strings estimate\n   110→\tsize := int64(200)\n   111→\tsize += int64(len(row.Cluster) + len(row.SubCluster) + len(row.Partition) +\n   112→\t\tlen(row.Project) + len(row.User) + len(row.State))\n   113→\tsize += int64(len(row.ResourcesJSON))\n   114→\tsize += int64(len(row.StatisticsJSON))\n   115→\tsize += int64(len(row.TagsJSON))\n   116→\tsize += int64(len(row.MetaDataJSON))\n   117→\tsize += int64(len(row.FootprintJSON))\n   118→\tsize += int64(len(row.EnergyFootJSON))\n   119→\tsize += int64(len(row.MetricDataGz))\n   120→\treturn size\n   121→}\n   122→\n   123→// prefixedTarget wraps a ParquetTarget and prepends a path prefix to all file names.\n   124→type prefixedTarget struct {\n   125→\tinner  ParquetTarget\n   126→\tprefix string\n   127→}\n   128→\n   129→func (pt *prefixedTarget) WriteFile(name string, data []byte) error {\n   130→\treturn pt.inner.WriteFile(path.Join(pt.prefix, name), data)\n   131→}\n   132→\n   133→// ClusterAwareParquetWriter organizes Parquet output by cluster.\n   134→// Each cluster gets its own subdirectory with a cluster.json config file.\n   135→type ClusterAwareParquetWriter struct {\n   136→\ttarget       ParquetTarget\n   137→\tmaxSizeMB    int\n   138→\twriters      map[string]*ParquetWriter\n   139→\tclusterCfgs  map[string]*schema.Cluster\n   140→}\n   141→\n   142→// NewClusterAwareParquetWriter creates a writer that routes jobs to per-cluster ParquetWriters.\n   143→func NewClusterAwareParquetWriter(target ParquetTarget, maxSizeMB int) *ClusterAwareParquetWriter {\n   144→\treturn &ClusterAwareParquetWriter{\n   145→\t\ttarget:      target,\n   146→\t\tmaxSizeMB:   maxSizeMB,\n   147→\t\twriters:     make(map[string]*ParquetWriter),\n   148→\t\tclusterCfgs: make(map[string]*schema.Cluster),\n   149→\t}\n   150→}\n   151→\n   152→// SetClusterConfig stores a cluster configuration to be written as cluster.json on Close.\n   153→func (cw *ClusterAwareParquetWriter) SetClusterConfig(name string, cfg *schema.Cluster) {\n   154→\tcw.clusterCfgs[name] = cfg\n   155→}\n   156→\n   157→// AddJob routes the job row to the appropriate per-cluster writer.\n   158→func (cw *ClusterAwareParquetWriter) AddJob(row ParquetJobRow) error {\n   159→\tcluster := row.Cluster\n   160→\tpw, ok := cw.writers[cluster]\n   161→\tif !ok {\n   162→\t\tpw = NewParquetWriter(&prefixedTarget{inner: cw.target, prefix: cluster}, cw.maxSizeMB)\n   163→\t\tcw.writers[cluster] = pw\n   164→\t}\n   165→\treturn pw.AddJob(row)\n   166→}\n   167→\n   168→// Close writes cluster.json files and flushes all per-cluster writers.\n   169→func (cw *ClusterAwareParquetWriter) Close() error {\n   170→\tfor name, cfg := range cw.clusterCfgs {\n   171→\t\tdata, err := json.MarshalIndent(cfg, \"\", \"  \")\n   172→\t\tif err != nil {\n   173→\t\t\treturn fmt.Errorf(\"marshal cluster config %q: %w\", name, err)\n   174→\t\t}\n   175→\t\tif err := cw.target.WriteFile(path.Join(name, \"cluster.json\"), data); err != nil {\n   176→\t\t\treturn fmt.Errorf(\"write cluster.json for %q: %w\", name, err)\n   177→\t\t}\n   178→\t}\n   179→\n   180→\tfor cluster, pw := range cw.writers {\n   181→\t\tif err := pw.Close(); err != nil {\n   182→\t\t\treturn fmt.Errorf(\"close writer for cluster %q: %w\", cluster, err)\n   183→\t\t}\n   184→\t}\n   185→\treturn nil\n   186→}\n   187→"}]},"uuid":"8ba2bd53-1ba2-49e6-a0fb-f32b047d809b","timestamp":"2026-03-18T04:03:08.711Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage parquet\n\nimport (\n\t\"bytes\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"path\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\n// ParquetWriter batches ParquetJobRows and flushes them to a target\n// when the estimated size exceeds maxSizeBytes.\ntype ParquetWriter struct {\n\ttarget       ParquetTarget\n\tmaxSizeBytes int64\n\trows         []ParquetJobRow\n\tcurrentSize  int64\n\tfileCounter  int\n\tdatePrefix   string\n}\n\n// NewParquetWriter creates a new writer that flushes batches to the given target.\n// maxSizeMB sets the approximate maximum size per parquet file in megabytes.\nfunc NewParquetWriter(target ParquetTarget, maxSizeMB int) *ParquetWriter {\n\treturn &ParquetWriter{\n\t\ttarget:       target,\n\t\tmaxSizeBytes: int64(maxSizeMB) * 1024 * 1024,\n\t\tdatePrefix:   time.Now().Format(\"2006-01-02\"),\n\t}\n}\n\n// AddJob adds a row to the current batch. If the estimated batch size\n// exceeds the configured maximum, the batch is flushed to the target first.\nfunc (pw *ParquetWriter) AddJob(row ParquetJobRow) error {\n\trowSize := estimateRowSize(&row)\n\n\tif pw.currentSize+rowSize > pw.maxSizeBytes && len(pw.rows) > 0 {\n\t\tif err := pw.Flush(); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tpw.rows = append(pw.rows, row)\n\tpw.currentSize += rowSize\n\treturn nil\n}\n\n// Flush writes the current batch to a parquet file on the target.\nfunc (pw *ParquetWriter) Flush() error {\n\tif len(pw.rows) == 0 {\n\t\treturn nil\n\t}\n\n\tpw.fileCounter++\n\tfileName := fmt.Sprintf(\"cc-archive-%s-%03d.parquet\", pw.datePrefix, pw.fileCounter)\n\n\tdata, err := writeParquetBytes(pw.rows)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"write parquet buffer: %w\", err)\n\t}\n\n\tif err := pw.target.WriteFile(fileName, data); err != nil {\n\t\treturn fmt.Errorf(\"write parquet file %q: %w\", fileName, err)\n\t}\n\n\tcclog.Infof(\"Parquet retention: wrote %s (%d jobs, %d bytes)\", fileName, len(pw.rows), len(data))\n\tpw.rows = pw.rows[:0]\n\tpw.currentSize = 0\n\treturn nil\n}\n\n// Close flushes any remaining rows and finalizes the writer.\nfunc (pw *ParquetWriter) Close() error {\n\treturn pw.Flush()\n}\n\nfunc writeParquetBytes(rows []ParquetJobRow) ([]byte, error) {\n\tvar buf bytes.Buffer\n\n\twriter := pq.NewGenericWriter[ParquetJobRow](&buf,\n\t\tpq.Compression(&pq.Zstd),\n\t\tpq.SortingWriterConfig(pq.SortingColumns(\n\t\t\tpq.Ascending(\"sub_cluster\"),\n\t\t\tpq.Ascending(\"project\"),\n\t\t\tpq.Ascending(\"start_time\"),\n\t\t)),\n\t)\n\n\tif _, err := writer.Write(rows); err != nil {\n\t\treturn nil, err\n\t}\n\tif err := writer.Close(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn buf.Bytes(), nil\n}\n\nfunc estimateRowSize(row *ParquetJobRow) int64 {\n\t// Fixed fields: ~100 bytes for numeric fields + strings estimate\n\tsize := int64(200)\n\tsize += int64(len(row.Cluster) + len(row.SubCluster) + len(row.Partition) +\n\t\tlen(row.Project) + len(row.User) + len(row.State))\n\tsize += int64(len(row.ResourcesJSON))\n\tsize += int64(len(row.StatisticsJSON))\n\tsize += int64(len(row.TagsJSON))\n\tsize += int64(len(row.MetaDataJSON))\n\tsize += int64(len(row.FootprintJSON))\n\tsize += int64(len(row.EnergyFootJSON))\n\tsize += int64(len(row.MetricDataGz))\n\treturn size\n}\n\n// prefixedTarget wraps a ParquetTarget and prepends a path prefix to all file names.\ntype prefixedTarget struct {\n\tinner  ParquetTarget\n\tprefix string\n}\n\nfunc (pt *prefixedTarget) WriteFile(name string, data []byte) error {\n\treturn pt.inner.WriteFile(path.Join(pt.prefix, name), data)\n}\n\n// ClusterAwareParquetWriter organizes Parquet output by cluster.\n// Each cluster gets its own subdirectory with a cluster.json config file.\ntype ClusterAwareParquetWriter struct {\n\ttarget       ParquetTarget\n\tmaxSizeMB    int\n\twriters      map[string]*ParquetWriter\n\tclusterCfgs  map[string]*schema.Cluster\n}\n\n// NewClusterAwareParquetWriter creates a writer that routes jobs to per-cluster ParquetWriters.\nfunc NewClusterAwareParquetWriter(target ParquetTarget, maxSizeMB int) *ClusterAwareParquetWriter {\n\treturn &ClusterAwareParquetWriter{\n\t\ttarget:      target,\n\t\tmaxSizeMB:   maxSizeMB,\n\t\twriters:     make(map[string]*ParquetWriter),\n\t\tclusterCfgs: make(map[string]*schema.Cluster),\n\t}\n}\n\n// SetClusterConfig stores a cluster configuration to be written as cluster.json on Close.\nfunc (cw *ClusterAwareParquetWriter) SetClusterConfig(name string, cfg *schema.Cluster) {\n\tcw.clusterCfgs[name] = cfg\n}\n\n// AddJob routes the job row to the appropriate per-cluster writer.\nfunc (cw *ClusterAwareParquetWriter) AddJob(row ParquetJobRow) error {\n\tcluster := row.Cluster\n\tpw, ok := cw.writers[cluster]\n\tif !ok {\n\t\tpw = NewParquetWriter(&prefixedTarget{inner: cw.target, prefix: cluster}, cw.maxSizeMB)\n\t\tcw.writers[cluster] = pw\n\t}\n\treturn pw.AddJob(row)\n}\n\n// Close writes cluster.json files and flushes all per-cluster writers.\nfunc (cw *ClusterAwareParquetWriter) Close() error {\n\tfor name, cfg := range cw.clusterCfgs {\n\t\tdata, err := json.MarshalIndent(cfg, \"\", \"  \")\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"marshal cluster config %q: %w\", name, err)\n\t\t}\n\t\tif err := cw.target.WriteFile(path.Join(name, \"cluster.json\"), data); err != nil {\n\t\t\treturn fmt.Errorf(\"write cluster.json for %q: %w\", name, err)\n\t\t}\n\t}\n\n\tfor cluster, pw := range cw.writers {\n\t\tif err := pw.Close(); err != nil {\n\t\t\treturn fmt.Errorf(\"close writer for cluster %q: %w\", cluster, err)\n\t\t}\n\t}\n\treturn nil\n}\n","numLines":187,"startLine":1,"totalLines":187}},"sourceToolAssistantUUID":"6ef33ff4-6796-4ef0-b60a-8faf052d22c6","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
+{"parentUuid":"8ba2bd53-1ba2-49e6-a0fb-f32b047d809b","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01Q99KAA21mZfprWFnPEyThq","toolUseID":"toolu_01Q99KAA21mZfprWFnPEyThq","timestamp":"2026-03-18T04:03:08.713Z","uuid":"8a41feef-932a-4fc3-b346-f93343dea5ec","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
+{"parentUuid":"7654bc76-22fd-40c9-80f1-2ca9c5f25c80","isSidechain":false,"promptId":"ba68d540-ba70-4f66-94e7-2c9d72fab3f4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Q99KAA21mZfprWFnPEyThq","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package parquet\n     7→\n     8→import (\n     9→\t\"bytes\"\n    10→\t\"fmt\"\n    11→\t\"time\"\n    12→\n    13→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    14→\tpq \"github.com/parquet-go/parquet-go\"\n    15→)\n    16→\n    17→// NodeStateParquetWriter batches ParquetNodeStateRows and flushes them to a target\n    18→// when the estimated size exceeds maxSizeBytes.\n    19→type NodeStateParquetWriter struct {\n    20→\ttarget       ParquetTarget\n    21→\tmaxSizeBytes int64\n    22→\trows         []ParquetNodeStateRow\n    23→\tcurrentSize  int64\n    24→\tfileCounter  int\n    25→\tdatePrefix   string\n    26→}\n    27→\n    28→// NewNodeStateParquetWriter creates a new writer for node state parquet files.\n    29→func NewNodeStateParquetWriter(target ParquetTarget, maxSizeMB int) *NodeStateParquetWriter {\n    30→\treturn &NodeStateParquetWriter{\n    31→\t\ttarget:       target,\n    32→\t\tmaxSizeBytes: int64(maxSizeMB) * 1024 * 1024,\n    33→\t\tdatePrefix:   time.Now().Format(\"2006-01-02\"),\n    34→\t}\n    35→}\n    36→\n    37→// AddRow adds a row to the current batch. If the estimated batch size\n    38→// exceeds the configured maximum, the batch is flushed first.\n    39→func (pw *NodeStateParquetWriter) AddRow(row ParquetNodeStateRow) error {\n    40→\trowSize := estimateNodeStateRowSize(&row)\n    41→\n    42→\tif pw.currentSize+rowSize > pw.maxSizeBytes && len(pw.rows) > 0 {\n    43→\t\tif err := pw.Flush(); err != nil {\n    44→\t\t\treturn err\n    45→\t\t}\n    46→\t}\n    47→\n    48→\tpw.rows = append(pw.rows, row)\n    49→\tpw.currentSize += rowSize\n    50→\treturn nil\n    51→}\n    52→\n    53→// Flush writes the current batch to a parquet file on the target.\n    54→func (pw *NodeStateParquetWriter) Flush() error {\n    55→\tif len(pw.rows) == 0 {\n    56→\t\treturn nil\n    57→\t}\n    58→\n    59→\tpw.fileCounter++\n    60→\tfileName := fmt.Sprintf(\"cc-nodestate-%s-%03d.parquet\", pw.datePrefix, pw.fileCounter)\n    61→\n    62→\tdata, err := writeNodeStateParquetBytes(pw.rows)\n    63→\tif err != nil {\n    64→\t\treturn fmt.Errorf(\"write parquet buffer: %w\", err)\n    65→\t}\n    66→\n    67→\tif err := pw.target.WriteFile(fileName, data); err != nil {\n    68→\t\treturn fmt.Errorf(\"write parquet file %q: %w\", fileName, err)\n    69→\t}\n    70→\n    71→\tcclog.Infof(\"NodeState retention: wrote %s (%d rows, %d bytes)\", fileName, len(pw.rows), len(data))\n    72→\tpw.rows = pw.rows[:0]\n    73→\tpw.currentSize = 0\n    74→\treturn nil\n    75→}\n    76→\n    77→// Close flushes any remaining rows and finalizes the writer.\n    78→func (pw *NodeStateParquetWriter) Close() error {\n    79→\treturn pw.Flush()\n    80→}\n    81→\n    82→func writeNodeStateParquetBytes(rows []ParquetNodeStateRow) ([]byte, error) {\n    83→\tvar buf bytes.Buffer\n    84→\n    85→\twriter := pq.NewGenericWriter[ParquetNodeStateRow](&buf,\n    86→\t\tpq.Compression(&pq.Zstd),\n    87→\t\tpq.SortingWriterConfig(pq.SortingColumns(\n    88→\t\t\tpq.Ascending(\"cluster\"),\n    89→\t\t\tpq.Ascending(\"subcluster\"),\n    90→\t\t\tpq.Ascending(\"hostname\"),\n    91→\t\t\tpq.Ascending(\"time_stamp\"),\n    92→\t\t)),\n    93→\t)\n    94→\n    95→\tif _, err := writer.Write(rows); err != nil {\n    96→\t\treturn nil, err\n    97→\t}\n    98→\tif err := writer.Close(); err != nil {\n    99→\t\treturn nil, err\n   100→\t}\n   101→\n   102→\treturn buf.Bytes(), nil\n   103→}\n   104→\n   105→func estimateNodeStateRowSize(row *ParquetNodeStateRow) int64 {\n   106→\tsize := int64(100) // fixed numeric fields\n   107→\tsize += int64(len(row.NodeState) + len(row.HealthState) + len(row.HealthMetrics))\n   108→\tsize += int64(len(row.Hostname) + len(row.Cluster) + len(row.SubCluster))\n   109→\treturn size\n   110→}\n   111→"}]},"uuid":"8659aa34-8044-491f-8e19-4b28746ae9dc","timestamp":"2026-03-18T04:03:08.713Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/nodestate_writer.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage parquet\n\nimport (\n\t\"bytes\"\n\t\"fmt\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\n// NodeStateParquetWriter batches ParquetNodeStateRows and flushes them to a target\n// when the estimated size exceeds maxSizeBytes.\ntype NodeStateParquetWriter struct {\n\ttarget       ParquetTarget\n\tmaxSizeBytes int64\n\trows         []ParquetNodeStateRow\n\tcurrentSize  int64\n\tfileCounter  int\n\tdatePrefix   string\n}\n\n// NewNodeStateParquetWriter creates a new writer for node state parquet files.\nfunc NewNodeStateParquetWriter(target ParquetTarget, maxSizeMB int) *NodeStateParquetWriter {\n\treturn &NodeStateParquetWriter{\n\t\ttarget:       target,\n\t\tmaxSizeBytes: int64(maxSizeMB) * 1024 * 1024,\n\t\tdatePrefix:   time.Now().Format(\"2006-01-02\"),\n\t}\n}\n\n// AddRow adds a row to the current batch. If the estimated batch size\n// exceeds the configured maximum, the batch is flushed first.\nfunc (pw *NodeStateParquetWriter) AddRow(row ParquetNodeStateRow) error {\n\trowSize := estimateNodeStateRowSize(&row)\n\n\tif pw.currentSize+rowSize > pw.maxSizeBytes && len(pw.rows) > 0 {\n\t\tif err := pw.Flush(); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tpw.rows = append(pw.rows, row)\n\tpw.currentSize += rowSize\n\treturn nil\n}\n\n// Flush writes the current batch to a parquet file on the target.\nfunc (pw *NodeStateParquetWriter) Flush() error {\n\tif len(pw.rows) == 0 {\n\t\treturn nil\n\t}\n\n\tpw.fileCounter++\n\tfileName := fmt.Sprintf(\"cc-nodestate-%s-%03d.parquet\", pw.datePrefix, pw.fileCounter)\n\n\tdata, err := writeNodeStateParquetBytes(pw.rows)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"write parquet buffer: %w\", err)\n\t}\n\n\tif err := pw.target.WriteFile(fileName, data); err != nil {\n\t\treturn fmt.Errorf(\"write parquet file %q: %w\", fileName, err)\n\t}\n\n\tcclog.Infof(\"NodeState retention: wrote %s (%d rows, %d bytes)\", fileName, len(pw.rows), len(data))\n\tpw.rows = pw.rows[:0]\n\tpw.currentSize = 0\n\treturn nil\n}\n\n// Close flushes any remaining rows and finalizes the writer.\nfunc (pw *NodeStateParquetWriter) Close() error {\n\treturn pw.Flush()\n}\n\nfunc writeNodeStateParquetBytes(rows []ParquetNodeStateRow) ([]byte, error) {\n\tvar buf bytes.Buffer\n\n\twriter := pq.NewGenericWriter[ParquetNodeStateRow](&buf,\n\t\tpq.Compression(&pq.Zstd),\n\t\tpq.SortingWriterConfig(pq.SortingColumns(\n\t\t\tpq.Ascending(\"cluster\"),\n\t\t\tpq.Ascending(\"subcluster\"),\n\t\t\tpq.Ascending(\"hostname\"),\n\t\t\tpq.Ascending(\"time_stamp\"),\n\t\t)),\n\t)\n\n\tif _, err := writer.Write(rows); err != nil {\n\t\treturn nil, err\n\t}\n\tif err := writer.Close(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn buf.Bytes(), nil\n}\n\nfunc estimateNodeStateRowSize(row *ParquetNodeStateRow) int64 {\n\tsize := int64(100) // fixed numeric fields\n\tsize += int64(len(row.NodeState) + len(row.HealthState) + len(row.HealthMetrics))\n\tsize += int64(len(row.Hostname) + len(row.Cluster) + len(row.SubCluster))\n\treturn size\n}\n","numLines":111,"startLine":1,"totalLines":111}},"sourceToolAssistantUUID":"7654bc76-22fd-40c9-80f1-2ca9c5f25c80","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"faff2a5f-39cf-41be-86c5-6881ede8648f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_019UTA1PjoxLMwNcZgvy9yF8","type":"message","role":"assistant","content":[{"type":"text","text":"Let me check the default `maxSizeMB` values and the row schemas to assess the severity."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4503,"cache_read_input_tokens":42858,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4503},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ9t59U86JZXpoB3ce9Bp","type":"assistant","uuid":"c09f2346-0454-4886-992d-9909d6ad37cb","timestamp":"2026-03-18T04:03:22.128Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"d3ad8e22-3b2e-4bec-8879-dc19d4acfa97","isSidechain":false,"promptId":"ba68d540-ba70-4f66-94e7-2c9d72fab3f4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XqChKEwwhYbMpP5zPDcwMG","type":"tool_result","content":"/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-424-\n/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-425-// convertJSONToParquet converts a JSON archive backend to parquet format.\ntools/archive-manager/main.go:426:func convertJSONToParquet(srcBackend archive.ArchiveBackend, dstCfg sourceConfig, maxSizeMB int) error {\ntools/archive-manager/main.go-427-\ttarget, err := createParquetTarget(dstCfg)\n/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-428-\tif err != nil {\n--\n/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-430-\t}\n/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-431-\ntools/archive-manager/main.go:432:\tcw := pqarchive.NewClusterAwareParquetWriter(target, maxSizeMB)\n/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-433-\n/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-434-\t// Transfer cluster configs\n--\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-30-\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-31-// NewParquetWriter creates a new writer that flushes batches to the given target.\npkg/archive/parquet/writer.go:32:// maxSizeMB sets the approximate maximum size per parquet file in megabytes.\npkg/archive/parquet/writer.go:33:func NewParquetWriter(target ParquetTarget, maxSizeMB int) *ParquetWriter {\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-34-\treturn &ParquetWriter{\npkg/archive/parquet/writer.go-35-\t\ttarget:       target,\npkg/archive/parquet/writer.go:36:\t\tmaxSizeBytes: int64(maxSizeMB) * 1024 * 1024,\npkg/archive/parquet/writer.go-37-\t\tdatePrefix:   time.Now().Format(\"2006-01-02\"),\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-38-\t}\n--\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-135-type ClusterAwareParquetWriter struct {\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-136-\ttarget       ParquetTarget\npkg/archive/parquet/writer.go:137:\tmaxSizeMB    int\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-138-\twriters      map[string]*ParquetWriter\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-139-\tclusterCfgs  map[string]*schema.Cluster\n--\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-141-\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-142-// NewClusterAwareParquetWriter creates a writer that routes jobs to per-cluster ParquetWriters.\npkg/archive/parquet/writer.go:143:func NewClusterAwareParquetWriter(target ParquetTarget, maxSizeMB int) *ClusterAwareParquetWriter {\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-144-\treturn &ClusterAwareParquetWriter{\npkg/archive/parquet/writer.go-145-\t\ttarget:      target,\npkg/archive/parquet/writer.go:146:\t\tmaxSizeMB:   maxSizeMB,\npkg/archive/parquet/writer.go-147-\t\twriters:     make(map[string]*ParquetWriter),\npkg/archive/parquet/writer.go-148-\t\tclusterCfgs: make(map[string]*schema.Cluster),\n--\npkg/archive/parquet/writer.go-160-\tpw, ok := cw.writers[cluster]\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-161-\tif !ok {\npkg/archive/parquet/writer.go:162:\t\tpw = NewParquetWriter(&prefixedTarget{inner: cw.target, prefix: cluster}, cw.maxSizeMB)\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-163-\t\tcw.writers[cluster] = pw\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-164-\t}\n--\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/nodestate_writer.go-27-\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/nodestate_writer.go-28-// NewNodeStateParquetWriter creates a new writer for node state parquet files.\npkg/archive/parquet/nodestate_writer.go:29:func NewNodeStateParquetWriter(target ParquetTarget, maxSizeMB int) *NodeStateParquetWriter {\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/nodestate_writer.go-30-\treturn &NodeStateParquetWriter{\npkg/archive/parquet/nodestate_writer.go-31-\t\ttarget:       target,\npkg/archive/parquet/nodestate_writer.go:32:\t\tmaxSizeBytes: int64(maxSizeMB) * 1024 * 1024,\npkg/archive/parquet/nodestate_writer.go-33-\t\tdatePrefix:   time.Now().Format(\"2006-01-02\"),\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/nodestate_writer.go-34-\t}\n--\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-106-\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-107-// transferJobsParquet converts jobs to Parquet format, organized by cluster.\ninternal/taskmanager/retentionService.go:108:func transferJobsParquet(jobs []*schema.Job, src archive.ArchiveBackend, target pqarchive.ParquetTarget, maxSizeMB int) error {\ninternal/taskmanager/retentionService.go:109:\tcw := pqarchive.NewClusterAwareParquetWriter(target, maxSizeMB)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-110-\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-111-\t// Set cluster configs for all clusters referenced by jobs"}]},"uuid":"28d33adb-22ad-4be4-bbaf-c470ef67fa84","timestamp":"2026-03-18T04:03:23.582Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-424-\n/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-425-// convertJSONToParquet converts a JSON archive backend to parquet format.\ntools/archive-manager/main.go:426:func convertJSONToParquet(srcBackend archive.ArchiveBackend, dstCfg sourceConfig, maxSizeMB int) error {\ntools/archive-manager/main.go-427-\ttarget, err := createParquetTarget(dstCfg)\n/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-428-\tif err != nil {\n--\n/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-430-\t}\n/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-431-\ntools/archive-manager/main.go:432:\tcw := pqarchive.NewClusterAwareParquetWriter(target, maxSizeMB)\n/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-433-\n/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-434-\t// Transfer cluster configs\n--\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-30-\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-31-// NewParquetWriter creates a new writer that flushes batches to the given target.\npkg/archive/parquet/writer.go:32:// maxSizeMB sets the approximate maximum size per parquet file in megabytes.\npkg/archive/parquet/writer.go:33:func NewParquetWriter(target ParquetTarget, maxSizeMB int) *ParquetWriter {\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-34-\treturn &ParquetWriter{\npkg/archive/parquet/writer.go-35-\t\ttarget:       target,\npkg/archive/parquet/writer.go:36:\t\tmaxSizeBytes: int64(maxSizeMB) * 1024 * 1024,\npkg/archive/parquet/writer.go-37-\t\tdatePrefix:   time.Now().Format(\"2006-01-02\"),\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-38-\t}\n--\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-135-type ClusterAwareParquetWriter struct {\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-136-\ttarget       ParquetTarget\npkg/archive/parquet/writer.go:137:\tmaxSizeMB    int\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-138-\twriters      map[string]*ParquetWriter\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-139-\tclusterCfgs  map[string]*schema.Cluster\n--\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-141-\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-142-// NewClusterAwareParquetWriter creates a writer that routes jobs to per-cluster ParquetWriters.\npkg/archive/parquet/writer.go:143:func NewClusterAwareParquetWriter(target ParquetTarget, maxSizeMB int) *ClusterAwareParquetWriter {\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-144-\treturn &ClusterAwareParquetWriter{\npkg/archive/parquet/writer.go-145-\t\ttarget:      target,\npkg/archive/parquet/writer.go:146:\t\tmaxSizeMB:   maxSizeMB,\npkg/archive/parquet/writer.go-147-\t\twriters:     make(map[string]*ParquetWriter),\npkg/archive/parquet/writer.go-148-\t\tclusterCfgs: make(map[string]*schema.Cluster),\n--\npkg/archive/parquet/writer.go-160-\tpw, ok := cw.writers[cluster]\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-161-\tif !ok {\npkg/archive/parquet/writer.go:162:\t\tpw = NewParquetWriter(&prefixedTarget{inner: cw.target, prefix: cluster}, cw.maxSizeMB)\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-163-\t\tcw.writers[cluster] = pw\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-164-\t}\n--\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/nodestate_writer.go-27-\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/nodestate_writer.go-28-// NewNodeStateParquetWriter creates a new writer for node state parquet files.\npkg/archive/parquet/nodestate_writer.go:29:func NewNodeStateParquetWriter(target ParquetTarget, maxSizeMB int) *NodeStateParquetWriter {\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/nodestate_writer.go-30-\treturn &NodeStateParquetWriter{\npkg/archive/parquet/nodestate_writer.go-31-\t\ttarget:       target,\npkg/archive/parquet/nodestate_writer.go:32:\t\tmaxSizeBytes: int64(maxSizeMB) * 1024 * 1024,\npkg/archive/parquet/nodestate_writer.go-33-\t\tdatePrefix:   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`parquet:\"tags_json,optional\"`\npkg/archive/parquet/schema.go-28-\tMetaDataJSON   []byte  `parquet:\"meta_data_json,optional\"`\npkg/archive/parquet/schema.go-29-\tFootprintJSON  []byte  `parquet:\"footprint_json,optional\"`\npkg/archive/parquet/schema.go-30-\tEnergyFootJSON []byte  `parquet:\"energy_footprint_json,optional\"`\npkg/archive/parquet/schema.go-31-\tMetricDataGz   []byte  `parquet:\"metric_data_gz\"`\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/schema.go-32-}\n--\npkg/archive/parquet/nodestate_schema.go:8:type ParquetNodeStateRow struct {\npkg/archive/parquet/nodestate_schema.go-9-\tTimeStamp       int64  `parquet:\"time_stamp\"`\npkg/archive/parquet/nodestate_schema.go-10-\tNodeState       string `parquet:\"node_state\"`\npkg/archive/parquet/nodestate_schema.go-11-\tHealthState     string `parquet:\"health_state\"`\npkg/archive/parquet/nodestate_schema.go-12-\tHealthMetrics   string `parquet:\"health_metrics,optional\"`\npkg/archive/parquet/nodestate_schema.go-13-\tCpusAllocated   int32  `parquet:\"cpus_allocated\"`\npkg/archive/parquet/nodestate_schema.go-14-\tMemoryAllocated int64  `parquet:\"memory_allocated\"`\npkg/archive/parquet/nodestate_schema.go-15-\tGpusAllocated   int32  `parquet:\"gpus_allocated\"`\npkg/archive/parquet/nodestate_schema.go-16-\tJobsRunning     int32  `parquet:\"jobs_running\"`\npkg/archive/parquet/nodestate_schema.go-17-\tHostname        string `parquet:\"hostname\"`\npkg/archive/parquet/nodestate_schema.go-18-\tCluster         string `parquet:\"cluster\"`\npkg/archive/parquet/nodestate_schema.go-19-\tSubCluster      string `parquet:\"subcluster\"`\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/nodestate_schema.go-20-}"}]},"uuid":"6ea7820f-c174-412f-8fa6-257028300636","timestamp":"2026-03-18T04:03:24.062Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"pkg/archive/parquet/schema.go:8:type ParquetJobRow struct {\npkg/archive/parquet/schema.go-9-\tJobID          int64   `parquet:\"job_id\"`\npkg/archive/parquet/schema.go-10-\tCluster        string  `parquet:\"cluster\"`\npkg/archive/parquet/schema.go-11-\tSubCluster     string  `parquet:\"sub_cluster\"`\npkg/archive/parquet/schema.go-12-\tPartition      string  `parquet:\"partition,optional\"`\npkg/archive/parquet/schema.go-13-\tProject        string  `parquet:\"project\"`\npkg/archive/parquet/schema.go-14-\tUser           string  `parquet:\"user\"`\npkg/archive/parquet/schema.go-15-\tState          string  `parquet:\"job_state\"`\npkg/archive/parquet/schema.go-16-\tStartTime      int64   `parquet:\"start_time\"`\npkg/archive/parquet/schema.go-17-\tDuration       int32   `parquet:\"duration\"`\npkg/archive/parquet/schema.go-18-\tWalltime       int64   `parquet:\"walltime\"`\npkg/archive/parquet/schema.go-19-\tNumNodes       int32   `parquet:\"num_nodes\"`\npkg/archive/parquet/schema.go-20-\tNumHWThreads   int32   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err != nil {\ninternal/taskmanager/retentionService.go-266-\t\t\t\t\t\tcclog.Errorf(\"Retention copy: parquet transfer: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-267-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-268-\t\t\t\t\t}\n--\ninternal/taskmanager/retentionService.go-313-\t\t\t\t\t\tcclog.Errorf(\"Retention move: create parquet target: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-314-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-315-\t\t\t\t\t}\ninternal/taskmanager/retentionService.go:316:\t\t\t\t\tif err := transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\ninternal/taskmanager/retentionService.go-317-\t\t\t\t\t\tcclog.Errorf(\"Retention move: parquet transfer: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-318-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-319-\t\t\t\t\t}\n--\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-83-\t\t\t\t}\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-84-\ninternal/taskmanager/nodestateRetentionService.go-85-\t\t\t\tcclog.Infof(\"NodeState move retention: archiving %d rows\", len(rows))\ninternal/taskmanager/nodestateRetentionService.go:86:\t\t\t\tpw := pqarchive.NewNodeStateParquetWriter(target, maxFileSizeMB)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-87-\ninternal/taskmanager/nodestateRetentionService.go-88-\t\t\t\tfor _, ns := range rows {\ninternal/taskmanager/nodestateRetentionService.go-89-\t\t\t\t\trow := pqarchive.ParquetNodeStateRow{"}]},"uuid":"e26a1aa7-04b9-40bf-ab8c-6d61bb74bd47","timestamp":"2026-03-18T04:03:28.636Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-104-\treturn nil\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-105-}\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-106-\ninternal/taskmanager/retentionService.go:107:// transferJobsParquet converts jobs to Parquet format, organized by cluster.\ninternal/taskmanager/retentionService.go:108:func transferJobsParquet(jobs []*schema.Job, src archive.ArchiveBackend, target pqarchive.ParquetTarget, maxSizeMB int) error {\ninternal/taskmanager/retentionService.go:109:\tcw := pqarchive.NewClusterAwareParquetWriter(target, maxSizeMB)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-110-\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-111-\t// Set cluster configs for all clusters referenced by jobs\ninternal/taskmanager/retentionService.go-112-\tclustersDone := make(map[string]bool)\n--\ninternal/taskmanager/retentionService.go-262-\t\t\t\t\t\tcclog.Errorf(\"Retention copy: create parquet target: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-263-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-264-\t\t\t\t\t}\ninternal/taskmanager/retentionService.go:265:\t\t\t\t\tif err := transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\ninternal/taskmanager/retentionService.go-266-\t\t\t\t\t\tcclog.Errorf(\"Retention copy: parquet transfer: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-267-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-268-\t\t\t\t\t}\n--\ninternal/taskmanager/retentionService.go-313-\t\t\t\t\t\tcclog.Errorf(\"Retention move: create parquet target: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-314-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-315-\t\t\t\t\t}\ninternal/taskmanager/retentionService.go:316:\t\t\t\t\tif err := transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\ninternal/taskmanager/retentionService.go-317-\t\t\t\t\t\tcclog.Errorf(\"Retention move: parquet transfer: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-318-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-319-\t\t\t\t\t}\n--\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-83-\t\t\t\t}\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-84-\ninternal/taskmanager/nodestateRetentionService.go-85-\t\t\t\tcclog.Infof(\"NodeState move retention: archiving %d rows\", len(rows))\ninternal/taskmanager/nodestateRetentionService.go:86:\t\t\t\tpw := pqarchive.NewNodeStateParquetWriter(target, maxFileSizeMB)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-87-\ninternal/taskmanager/nodestateRetentionService.go-88-\t\t\t\tfor _, ns := range rows {\ninternal/taskmanager/nodestateRetentionService.go-89-\t\t\t\t\trow := pqarchive.ParquetNodeStateRow{","numLines":33},"sourceToolAssistantUUID":"474b99b3-f593-4755-b27a-b8e4dd79d876","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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err != nil {\ninternal/taskmanager/retentionService.go-266-\t\t\t\t\t\tcclog.Errorf(\"Retention copy: parquet transfer: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-267-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-268-\t\t\t\t\t}\n--\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-285-func RegisterRetentionMoveService(cfg Retention) {\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-286-\tcclog.Infof(\"Register retention move service (format=%s, target=%s)\", cfg.Format, cfg.TargetKind)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-287-\ninternal/taskmanager/retentionService.go:288:\tmaxFileSizeMB := cfg.MaxFileSizeMB\ninternal/taskmanager/retentionService.go:289:\tif maxFileSizeMB <= 0 {\ninternal/taskmanager/retentionService.go:290:\t\tmaxFileSizeMB = 512\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-291-\t}\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-292-\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-293-\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(5, 0, 0))),\n--\ninternal/taskmanager/retentionService.go-313-\t\t\t\t\t\tcclog.Errorf(\"Retention move: create parquet target: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-314-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-315-\t\t\t\t\t}\ninternal/taskmanager/retentionService.go:316:\t\t\t\t\tif err := transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\ninternal/taskmanager/retentionService.go-317-\t\t\t\t\t\tcclog.Errorf(\"Retention move: parquet transfer: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-318-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-319-\t\t\t\t\t}\n--\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-35-func RegisterNodeStateRetentionMoveService(cfg *config.NodeStateRetention) {\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-36-\tcclog.Info(\"Register node state retention move service\")\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-37-\ninternal/taskmanager/nodestateRetentionService.go:38:\tmaxFileSizeMB := cfg.MaxFileSizeMB\ninternal/taskmanager/nodestateRetentionService.go:39:\tif maxFileSizeMB <= 0 {\ninternal/taskmanager/nodestateRetentionService.go:40:\t\tmaxFileSizeMB = 128\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-41-\t}\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-42-\ninternal/taskmanager/nodestateRetentionService.go-43-\tageHours := cfg.Age\n--\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-83-\t\t\t\t}\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-84-\ninternal/taskmanager/nodestateRetentionService.go-85-\t\t\t\tcclog.Infof(\"NodeState move retention: archiving %d rows\", len(rows))\ninternal/taskmanager/nodestateRetentionService.go:86:\t\t\t\tpw := pqarchive.NewNodeStateParquetWriter(target, maxFileSizeMB)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-87-\ninternal/taskmanager/nodestateRetentionService.go-88-\t\t\t\tfor _, ns := range rows {\ninternal/taskmanager/nodestateRetentionService.go-89-\t\t\t\t\trow := pqarchive.ParquetNodeStateRow{"}]},"uuid":"392fddf0-3e00-4ec8-abb9-b655845479a1","timestamp":"2026-03-18T04:03:41.650Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-232-func RegisterRetentionCopyService(cfg Retention) {\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-233-\tcclog.Infof(\"Register retention copy service (format=%s, target=%s)\", cfg.Format, cfg.TargetKind)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-234-\ninternal/taskmanager/retentionService.go:235:\tmaxFileSizeMB := cfg.MaxFileSizeMB\ninternal/taskmanager/retentionService.go:236:\tif maxFileSizeMB <= 0 {\ninternal/taskmanager/retentionService.go:237:\t\tmaxFileSizeMB = 512\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-238-\t}\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-239-\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-240-\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(4, 0, 0))),\n--\ninternal/taskmanager/retentionService.go-262-\t\t\t\t\t\tcclog.Errorf(\"Retention copy: create parquet target: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-263-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-264-\t\t\t\t\t}\ninternal/taskmanager/retentionService.go:265:\t\t\t\t\tif err := transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\ninternal/taskmanager/retentionService.go-266-\t\t\t\t\t\tcclog.Errorf(\"Retention copy: parquet transfer: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-267-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-268-\t\t\t\t\t}\n--\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-285-func RegisterRetentionMoveService(cfg Retention) {\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-286-\tcclog.Infof(\"Register retention move service (format=%s, target=%s)\", cfg.Format, cfg.TargetKind)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-287-\ninternal/taskmanager/retentionService.go:288:\tmaxFileSizeMB := cfg.MaxFileSizeMB\ninternal/taskmanager/retentionService.go:289:\tif maxFileSizeMB <= 0 {\ninternal/taskmanager/retentionService.go:290:\t\tmaxFileSizeMB = 512\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-291-\t}\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-292-\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-293-\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(5, 0, 0))),\n--\ninternal/taskmanager/retentionService.go-313-\t\t\t\t\t\tcclog.Errorf(\"Retention move: create parquet target: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-314-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-315-\t\t\t\t\t}\ninternal/taskmanager/retentionService.go:316:\t\t\t\t\tif err := transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\ninternal/taskmanager/retentionService.go-317-\t\t\t\t\t\tcclog.Errorf(\"Retention move: parquet transfer: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-318-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-319-\t\t\t\t\t}\n--\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-35-func RegisterNodeStateRetentionMoveService(cfg *config.NodeStateRetention) {\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-36-\tcclog.Info(\"Register node state retention move service\")\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-37-\ninternal/taskmanager/nodestateRetentionService.go:38:\tmaxFileSizeMB := cfg.MaxFileSizeMB\ninternal/taskmanager/nodestateRetentionService.go:39:\tif maxFileSizeMB <= 0 {\ninternal/taskmanager/nodestateRetentionService.go:40:\t\tmaxFileSizeMB = 128\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-41-\t}\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-42-\ninternal/taskmanager/nodestateRetentionService.go-43-\tageHours := cfg.Age\n--\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-83-\t\t\t\t}\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-84-\ninternal/taskmanager/nodestateRetentionService.go-85-\t\t\t\tcclog.Infof(\"NodeState move retention: archiving %d rows\", len(rows))\ninternal/taskmanager/nodestateRetentionService.go:86:\t\t\t\tpw := pqarchive.NewNodeStateParquetWriter(target, maxFileSizeMB)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-87-\ninternal/taskmanager/nodestateRetentionService.go-88-\t\t\t\tfor _, ns := range rows {\ninternal/taskmanager/nodestateRetentionService.go-89-\t\t\t\t\trow := pqarchive.ParquetNodeStateRow{","numLines":53},"sourceToolAssistantUUID":"3c6b8884-7d9f-4116-803f-8edf5fb39fe7","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"0e523105-a262-4da4-8ce0-de57188c6867","isSidechain":false,"promptId":"ba68d540-ba70-4f66-94e7-2c9d72fab3f4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RkUewSYmhcoRrM7YPKM3gb","type":"tool_result","content":"     1→# Fix: Memory Escalation in flattenCheckpointFile (68GB+)\n     2→\n     3→## Context\n     4→\n     5→Production gops shows `flattenCheckpointFile` allocating 68GB+ (74.89% of memory). The archiving pipeline accumulates ALL metric data from ALL hosts into a single `[]ParquetMetricRow` slice before writing to Parquet. For large HPC clusters this is catastrophic. Additionally, the `SortingWriterConfig` in the parquet writer buffers everything again internally.\n     6→\n     7→## Root Cause\n     8→\n     9→Two-layer unbounded accumulation:\n    10→\n    11→1. **`archive.go:239-242`**: `allRows = append(allRows, r.rows...)` merges every host's rows into one giant slice\n    12→2. **`parquetArchive.go:108-116`**: `SortingWriterConfig` creates a sorting writer that buffers ALL rows until `Close()`\n    13→3. **`parquetArchive.go:199`**: `var rows []ParquetMetricRow` starts at zero capacity, grows via append doubling\n    14→\n    15→Peak memory = (all hosts' rows) + (sorting writer copy) + (append overhead) = ~3x raw data size.\n    16→\n    17→## Fix: Stream per-host to parquet writer\n    18→\n    19→Instead of accumulating all rows, write each host's data as a separate row group.\n    20→\n    21→### Step 1: Add streaming parquet writer (`parquetArchive.go`)\n    22→\n    23→Replace `writeParquetArchive(filename, rows)` with a struct that supports incremental writes:\n    24→\n    25→```go\n    26→type parquetArchiveWriter struct {\n    27→    writer *pq.GenericWriter[ParquetMetricRow]\n    28→    bw     *bufio.Writer\n    29→    f      *os.File\n    30→    count  int\n    31→}\n    32→\n    33→func newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error)\n    34→func (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error  // Write + Flush (creates row group)\n    35→func (w *parquetArchiveWriter) Close() error\n    36→```\n    37→\n    38→- **Remove `SortingWriterConfig`** - no global sort buffer\n    39→- Sort each host's rows in-place with `sort.Slice` before writing (cheap: single host data)\n    40→- Each `Flush()` creates a separate row group per host\n    41→\n    42→### Step 2: Add row count estimation (`parquetArchive.go`)\n    43→\n    44→```go\n    45→func estimateRowCount(cf *CheckpointFile) int\n    46→```\n    47→\n    48→Pre-allocate `rows` slice in `archiveCheckpointsToParquet` to avoid append doubling per host.\n    49→\n    50→### Step 3: Restructure `archiveCheckpoints` (`archive.go`)\n    51→\n    52→Change from:\n    53→```\n    54→workers → channel → accumulate allRows → writeParquetArchive(allRows)\n    55→```\n    56→\n    57→To:\n    58→```\n    59→open writer → workers → channel → for each host: sort rows, writer.WriteHostRows(rows) → close writer\n    60→```\n    61→\n    62→- Only one host's rows in memory at a time\n    63→- Track `files`/`dir` for deletion separately (don't retain rows)\n    64→- Check `writer.count > 0` instead of `len(allRows) == 0`\n    65→\n    66→### Step 4: Update test (`parquetArchive_test.go`)\n    67→\n    68→- `TestParquetArchiveRoundtrip`: use new streaming writer API\n    69→- Keep `archiveCheckpointsToParquet` returning rows (it's per-host, manageable size)\n    70→\n    71→## Files to Modify\n    72→\n    73→- **`pkg/metricstore/parquetArchive.go`**: Add `parquetArchiveWriter`, `estimateRowCount`; remove `writeParquetArchive`; add `\"sort\"` import\n    74→- **`pkg/metricstore/archive.go`**: Restructure `archiveCheckpoints` to stream\n    75→- **`pkg/metricstore/parquetArchive_test.go`**: Update roundtrip test\n    76→\n    77→## Memory Impact\n    78→\n    79→- **Before**: All hosts in memory (~40GB for 256 nodes) + sorting buffer (~40GB) = 68GB+\n    80→- **After**: One host at a time (~16MB) + parquet page buffer (~1MB) = ~17MB peak\n    81→\n    82→## Sorting Tradeoff\n    83→\n    84→The output changes from one globally-sorted row group to N row groups (one per host), each internally sorted by (metric, timestamp). This is actually better for ClusterCockpit's per-host query patterns (enables row group skipping).\n    85→\n    86→## Verification\n    87→\n    88→```bash\n    89→go test -v ./pkg/metricstore/...\n    90→```\n    91→\n    92→Also verify with `go vet ./pkg/metricstore/...` for correctness.\n    93→"}]},"uuid":"820ca3ba-c7a2-4bca-9937-7389eb28a4f0","timestamp":"2026-03-18T04:03:47.129Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/.claude/plans/shimmering-wandering-flurry.md","content":"# Fix: Memory Escalation in flattenCheckpointFile (68GB+)\n\n## Context\n\nProduction gops shows `flattenCheckpointFile` allocating 68GB+ (74.89% of memory). The archiving pipeline accumulates ALL metric data from ALL hosts into a single `[]ParquetMetricRow` slice before writing to Parquet. For large HPC clusters this is catastrophic. Additionally, the `SortingWriterConfig` in the parquet writer buffers everything again internally.\n\n## Root Cause\n\nTwo-layer unbounded accumulation:\n\n1. **`archive.go:239-242`**: `allRows = append(allRows, r.rows...)` merges every host's rows into one giant slice\n2. **`parquetArchive.go:108-116`**: `SortingWriterConfig` creates a sorting writer that buffers ALL rows until `Close()`\n3. **`parquetArchive.go:199`**: `var rows []ParquetMetricRow` starts at zero capacity, grows via append doubling\n\nPeak memory = (all hosts' rows) + (sorting writer copy) + (append overhead) = ~3x raw data size.\n\n## Fix: Stream per-host to parquet writer\n\nInstead of accumulating all rows, write each host's data as a separate row group.\n\n### Step 1: Add streaming parquet writer (`parquetArchive.go`)\n\nReplace `writeParquetArchive(filename, rows)` with a struct that supports incremental writes:\n\n```go\ntype parquetArchiveWriter struct {\n    writer *pq.GenericWriter[ParquetMetricRow]\n    bw     *bufio.Writer\n    f      *os.File\n    count  int\n}\n\nfunc newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error)\nfunc (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error  // Write + Flush (creates row group)\nfunc (w *parquetArchiveWriter) Close() error\n```\n\n- **Remove `SortingWriterConfig`** - no global sort buffer\n- Sort each host's rows in-place with `sort.Slice` before writing (cheap: single host data)\n- Each `Flush()` creates a separate row group per host\n\n### Step 2: Add row count estimation (`parquetArchive.go`)\n\n```go\nfunc estimateRowCount(cf *CheckpointFile) int\n```\n\nPre-allocate `rows` slice in `archiveCheckpointsToParquet` to avoid append doubling per host.\n\n### Step 3: Restructure `archiveCheckpoints` (`archive.go`)\n\nChange from:\n```\nworkers → channel → accumulate allRows → writeParquetArchive(allRows)\n```\n\nTo:\n```\nopen writer → workers → channel → for each host: sort rows, writer.WriteHostRows(rows) → close writer\n```\n\n- Only one host's rows in memory at a time\n- Track `files`/`dir` for deletion separately (don't retain rows)\n- Check `writer.count > 0` instead of `len(allRows) == 0`\n\n### Step 4: Update test (`parquetArchive_test.go`)\n\n- `TestParquetArchiveRoundtrip`: use new streaming writer API\n- Keep `archiveCheckpointsToParquet` returning rows (it's per-host, manageable size)\n\n## Files to Modify\n\n- **`pkg/metricstore/parquetArchive.go`**: Add `parquetArchiveWriter`, `estimateRowCount`; remove `writeParquetArchive`; add `\"sort\"` import\n- **`pkg/metricstore/archive.go`**: Restructure `archiveCheckpoints` to stream\n- **`pkg/metricstore/parquetArchive_test.go`**: Update roundtrip test\n\n## Memory Impact\n\n- **Before**: All hosts in memory (~40GB for 256 nodes) + sorting buffer (~40GB) = 68GB+\n- **After**: One host at a time (~16MB) + parquet page buffer (~1MB) = ~17MB peak\n\n## Sorting Tradeoff\n\nThe output changes from one globally-sorted row group to N row groups (one per host), each internally sorted by (metric, timestamp). This is actually better for ClusterCockpit's per-host query patterns (enables row group skipping).\n\n## Verification\n\n```bash\ngo test -v ./pkg/metricstore/...\n```\n\nAlso verify with `go vet ./pkg/metricstore/...` for correctness.\n","numLines":93,"startLine":1,"totalLines":93}},"sourceToolAssistantUUID":"0e523105-a262-4da4-8ce0-de57188c6867","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"820ca3ba-c7a2-4bca-9937-7389eb28a4f0","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01EwL47Q2XdLejr1ZgqEBUk4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GedVGpbmUyDDQ8S3jAgoTM","name":"Write","input":{"file_path":"/Users/jan/.claude/plans/shimmering-wandering-flurry.md","content":"# Audit: SortingWriterConfig Memory Doubling in Parquet Writers\n\n## Context\n\nAfter fixing the 68GB+ memory spike in `flattenCheckpointFile` (already implemented on this branch), the user asks whether other parquet writers in the codebase have similar memory issues. Specifically, `SortingWriterConfig` buffers ALL rows internally until `Close()`, effectively doubling memory usage per batch.\n\n## Findings\n\n### 1. Job Retention Writer — moderate risk\n**File**: `pkg/archive/parquet/writer.go:86-106`\n\n`writeParquetBytes()` uses `SortingWriterConfig` with `bytes.Buffer`. The batching via `maxSizeBytes` (default 512MB) caps the damage, but `SortingWriterConfig` still doubles memory within each batch:\n- Peak per-flush = batch rows (~512MB) + sorting writer copy (~512MB) = **~1GB**\n- `ParquetJobRow.MetricDataGz` (compressed metric data blob) can be large, making rows heavy\n\nThe sorting columns are `(sub_cluster, project, start_time)` — this provides marginal compression benefit for already-batched data.\n\n**Mitigation**: Remove `SortingWriterConfig`. Pre-sort `pw.rows` in-place with `sort.Slice` before calling `writer.Write()`. Same output order, no internal copy.\n\n### 2. NodeState Retention Writer — low risk\n**File**: `pkg/archive/parquet/nodestate_writer.go:82-103`\n\nSame pattern: `SortingWriterConfig` in `writeNodeStateParquetBytes()`. Default batch cap is 128MB. `ParquetNodeStateRow` is small (~150 bytes per row), so the doubling yields ~256MB peak at worst. Not catastrophic, but still wasteful.\n\n**Mitigation**: Same fix — pre-sort, remove `SortingWriterConfig`.\n\n### 3. Metric Checkpoint Writer — already fixed\n**File**: `pkg/metricstore/parquetArchive.go`\n\nAlready addressed in the current branch changes. Uses streaming row groups, no `SortingWriterConfig`.\n\n## Recommendation\n\nApply the same pattern used in the checkpoint fix: **pre-sort rows in-place, remove `SortingWriterConfig`**. This halves peak memory per flush in both writers with zero output change.\n\n### Changes\n\n#### `pkg/archive/parquet/writer.go`\n- Add `\"sort\"` import\n- In `writeParquetBytes()`: sort `rows` by `(sub_cluster, project, start_time)` before `writer.Write()`\n- Remove `SortingWriterConfig(...)` from `pq.NewGenericWriter` options\n\n#### `pkg/archive/parquet/nodestate_writer.go`\n- Add `\"sort\"` import\n- In `writeNodeStateParquetBytes()`: sort `rows` by `(cluster, subcluster, hostname, time_stamp)` before `writer.Write()`\n- Remove `SortingWriterConfig(...)` from `pq.NewGenericWriter` options\n\n### Memory Impact\n\n| Writer | Before (peak per flush) | After |\n|--------|------------------------|-------|\n| Job retention | ~2x batch (~1GB at 512MB default) | ~1x batch (~512MB) |\n| NodeState retention | ~2x batch (~256MB at 128MB default) | ~1x batch (~128MB) |\n\n### Verification\n\n```bash\ngo test -v ./pkg/archive/parquet/...\ngo vet ./pkg/archive/parquet/...\n```\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1490,"cache_read_input_tokens":54617,"output_tokens":944,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1490,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ9t7yLFg4b2Cfjvg1ZDm","type":"assistant","uuid":"24b9150b-c58b-4643-90ee-51ca27affb84","timestamp":"2026-03-18T04:04:09.115Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"24b9150b-c58b-4643-90ee-51ca27affb84","isSidechain":false,"promptId":"ba68d540-ba70-4f66-94e7-2c9d72fab3f4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GedVGpbmUyDDQ8S3jAgoTM","type":"tool_result","content":"The file /Users/jan/.claude/plans/shimmering-wandering-flurry.md has been updated successfully."}]},"uuid":"33a3d7d3-f247-4792-bbe0-48205fa9d6b8","timestamp":"2026-03-18T04:04:09.128Z","toolUseResult":{"type":"update","filePath":"/Users/jan/.claude/plans/shimmering-wandering-flurry.md","content":"# Audit: SortingWriterConfig Memory Doubling in Parquet Writers\n\n## Context\n\nAfter fixing the 68GB+ memory spike in `flattenCheckpointFile` (already implemented on this branch), the user asks whether other parquet writers in the codebase have similar memory issues. Specifically, `SortingWriterConfig` buffers ALL rows internally until `Close()`, effectively doubling memory usage per batch.\n\n## Findings\n\n### 1. Job Retention Writer — moderate risk\n**File**: `pkg/archive/parquet/writer.go:86-106`\n\n`writeParquetBytes()` uses `SortingWriterConfig` with `bytes.Buffer`. The batching via `maxSizeBytes` (default 512MB) caps the damage, but `SortingWriterConfig` still doubles memory within each batch:\n- Peak per-flush = batch rows (~512MB) + sorting writer copy (~512MB) = **~1GB**\n- `ParquetJobRow.MetricDataGz` (compressed metric data blob) can be large, making rows heavy\n\nThe sorting columns are `(sub_cluster, project, start_time)` — this provides marginal compression benefit for already-batched data.\n\n**Mitigation**: Remove `SortingWriterConfig`. Pre-sort `pw.rows` in-place with `sort.Slice` before calling `writer.Write()`. Same output order, no internal copy.\n\n### 2. NodeState Retention Writer — low risk\n**File**: `pkg/archive/parquet/nodestate_writer.go:82-103`\n\nSame pattern: `SortingWriterConfig` in `writeNodeStateParquetBytes()`. Default batch cap is 128MB. `ParquetNodeStateRow` is small (~150 bytes per row), so the doubling yields ~256MB peak at worst. Not catastrophic, but still wasteful.\n\n**Mitigation**: Same fix — pre-sort, remove `SortingWriterConfig`.\n\n### 3. Metric Checkpoint Writer — already fixed\n**File**: `pkg/metricstore/parquetArchive.go`\n\nAlready addressed in the current branch changes. Uses streaming row groups, no `SortingWriterConfig`.\n\n## Recommendation\n\nApply the same pattern used in the checkpoint fix: **pre-sort rows in-place, remove `SortingWriterConfig`**. This halves peak memory per flush in both writers with zero output change.\n\n### Changes\n\n#### `pkg/archive/parquet/writer.go`\n- Add `\"sort\"` import\n- In `writeParquetBytes()`: sort `rows` by `(sub_cluster, project, start_time)` before `writer.Write()`\n- Remove `SortingWriterConfig(...)` from `pq.NewGenericWriter` options\n\n#### `pkg/archive/parquet/nodestate_writer.go`\n- Add `\"sort\"` import\n- In `writeNodeStateParquetBytes()`: sort `rows` by `(cluster, subcluster, hostname, time_stamp)` before `writer.Write()`\n- Remove `SortingWriterConfig(...)` from `pq.NewGenericWriter` options\n\n### Memory Impact\n\n| Writer | Before (peak per flush) | After |\n|--------|------------------------|-------|\n| Job retention | ~2x batch (~1GB at 512MB default) | ~1x batch (~512MB) |\n| NodeState retention | ~2x batch (~256MB at 128MB default) | ~1x batch (~128MB) |\n\n### Verification\n\n```bash\ngo test -v ./pkg/archive/parquet/...\ngo vet ./pkg/archive/parquet/...\n```\n","structuredPatch":[{"oldStart":1,"oldLines":92,"newStart":1,"newLines":60,"lines":["-# Fix: Memory Escalation in flattenCheckpointFile (68GB+)","+# Audit: SortingWriterConfig Memory Doubling in Parquet Writers"," "," ## Context"," ","-Production gops shows `flattenCheckpointFile` allocating 68GB+ (74.89% of memory). The archiving pipeline accumulates ALL metric data from ALL hosts into a single `[]ParquetMetricRow` slice before writing to Parquet. For large HPC clusters this is catastrophic. Additionally, the `SortingWriterConfig` in the parquet writer buffers everything again internally.","+After fixing the 68GB+ memory spike in `flattenCheckpointFile` (already implemented on this branch), the user asks whether other parquet writers in the codebase have similar memory issues. Specifically, `SortingWriterConfig` buffers ALL rows internally until `Close()`, effectively doubling memory usage per batch."," ","-## Root Cause","+## Findings"," ","-Two-layer unbounded accumulation:","+### 1. Job Retention Writer — moderate risk","+**File**: `pkg/archive/parquet/writer.go:86-106`"," ","-1. **`archive.go:239-242`**: `allRows = append(allRows, r.rows...)` merges every host's rows into one giant slice","-2. **`parquetArchive.go:108-116`**: `SortingWriterConfig` creates a sorting writer that buffers ALL rows until `Close()`","-3. **`parquetArchive.go:199`**: `var rows []ParquetMetricRow` starts at zero capacity, grows via append doubling","+`writeParquetBytes()` uses `SortingWriterConfig` with `bytes.Buffer`. The batching via `maxSizeBytes` (default 512MB) caps the damage, but `SortingWriterConfig` still doubles memory within each batch:","+- Peak per-flush = batch rows (~512MB) + sorting writer copy (~512MB) = **~1GB**","+- `ParquetJobRow.MetricDataGz` (compressed metric data blob) can be large, making rows heavy"," ","-Peak memory = (all hosts' rows) + (sorting writer copy) + (append overhead) = ~3x raw data size.","+The sorting columns are `(sub_cluster, project, start_time)` — this provides marginal compression benefit for already-batched data."," ","-## Fix: Stream per-host to parquet writer","+**Mitigation**: Remove `SortingWriterConfig`. Pre-sort `pw.rows` in-place with `sort.Slice` before calling `writer.Write()`. Same output order, no internal copy."," ","-Instead of accumulating all rows, write each host's data as a separate row group.","+### 2. NodeState Retention Writer — low risk","+**File**: `pkg/archive/parquet/nodestate_writer.go:82-103`"," ","-### Step 1: Add streaming parquet writer (`parquetArchive.go`)","+Same pattern: `SortingWriterConfig` in `writeNodeStateParquetBytes()`. Default batch cap is 128MB. `ParquetNodeStateRow` is small (~150 bytes per row), so the doubling yields ~256MB peak at worst. Not catastrophic, but still wasteful."," ","-Replace `writeParquetArchive(filename, rows)` with a struct that supports incremental writes:","+**Mitigation**: Same fix — pre-sort, remove `SortingWriterConfig`."," ","-```go","-type parquetArchiveWriter struct {","-    writer *pq.GenericWriter[ParquetMetricRow]","-    bw     *bufio.Writer","-    f      *os.File","-    count  int","-}","+### 3. Metric Checkpoint Writer — already fixed","+**File**: `pkg/metricstore/parquetArchive.go`"," ","-func newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error)","-func (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error  // Write + Flush (creates row group)","-func (w *parquetArchiveWriter) Close() error","-```","+Already addressed in the current branch changes. Uses streaming row groups, no `SortingWriterConfig`."," ","-- **Remove `SortingWriterConfig`** - no global sort buffer","-- Sort each host's rows in-place with `sort.Slice` before writing (cheap: single host data)","-- Each `Flush()` creates a separate row group per host","+## Recommendation"," ","-### Step 2: Add row count estimation (`parquetArchive.go`)","+Apply the same pattern used in the checkpoint fix: **pre-sort rows in-place, remove `SortingWriterConfig`**. This halves peak memory per flush in both writers with zero output change."," ","-```go","-func estimateRowCount(cf *CheckpointFile) int","-```","+### Changes"," ","-Pre-allocate `rows` slice in `archiveCheckpointsToParquet` to avoid append doubling per host.","+#### `pkg/archive/parquet/writer.go`","+- Add `\"sort\"` import","+- In `writeParquetBytes()`: sort `rows` by `(sub_cluster, project, start_time)` before `writer.Write()`","+- Remove `SortingWriterConfig(...)` from `pq.NewGenericWriter` options"," ","-### Step 3: Restructure `archiveCheckpoints` (`archive.go`)","+#### `pkg/archive/parquet/nodestate_writer.go`","+- Add `\"sort\"` import","+- In `writeNodeStateParquetBytes()`: sort `rows` by `(cluster, subcluster, hostname, time_stamp)` before `writer.Write()`","+- Remove `SortingWriterConfig(...)` from `pq.NewGenericWriter` options"," ","-Change from:","-```","-workers → channel → accumulate allRows → writeParquetArchive(allRows)","-```","+### Memory Impact"," ","-To:","-```","-open writer → workers → channel → for each host: sort rows, writer.WriteHostRows(rows) → close writer","-```","+| Writer | Before (peak per flush) | After |","+|--------|------------------------|-------|","+| Job retention | ~2x batch (~1GB at 512MB default) | ~1x batch (~512MB) |","+| NodeState retention | ~2x batch (~256MB at 128MB default) | ~1x batch (~128MB) |"," ","-- Only one host's rows in memory at a time","-- Track `files`/`dir` for deletion separately (don't retain rows)","-- Check `writer.count > 0` instead of `len(allRows) == 0`","+### Verification"," ","-### Step 4: Update test (`parquetArchive_test.go`)","-","-- `TestParquetArchiveRoundtrip`: use new streaming writer API","-- Keep `archiveCheckpointsToParquet` returning rows (it's per-host, manageable size)","-","-## Files to Modify","-","-- **`pkg/metricstore/parquetArchive.go`**: Add `parquetArchiveWriter`, `estimateRowCount`; remove `writeParquetArchive`; add `\"sort\"` import","-- **`pkg/metricstore/archive.go`**: Restructure `archiveCheckpoints` to stream","-- **`pkg/metricstore/parquetArchive_test.go`**: Update roundtrip test","-","-## Memory Impact","-","-- **Before**: All hosts in memory (~40GB for 256 nodes) + sorting buffer (~40GB) = 68GB+","-- **After**: One host at a time (~16MB) + parquet page buffer (~1MB) = ~17MB peak","-","-## Sorting Tradeoff","-","-The output changes from one globally-sorted row group to N row groups (one per host), each internally sorted by (metric, timestamp). This is actually better for ClusterCockpit's per-host query patterns (enables row group skipping).","-","-## Verification","-"," ```bash","-go test -v ./pkg/metricstore/...","+go test -v ./pkg/archive/parquet/...","+go vet ./pkg/archive/parquet/..."," ```","-","-Also verify with `go vet ./pkg/metricstore/...` for correctness."]}],"originalFile":"# Fix: Memory Escalation in flattenCheckpointFile (68GB+)\n\n## Context\n\nProduction gops shows `flattenCheckpointFile` allocating 68GB+ (74.89% of memory). The archiving pipeline accumulates ALL metric data from ALL hosts into a single `[]ParquetMetricRow` slice before writing to Parquet. For large HPC clusters this is catastrophic. Additionally, the `SortingWriterConfig` in the parquet writer buffers everything again internally.\n\n## Root Cause\n\nTwo-layer unbounded accumulation:\n\n1. **`archive.go:239-242`**: `allRows = append(allRows, r.rows...)` merges every host's rows into one giant slice\n2. **`parquetArchive.go:108-116`**: `SortingWriterConfig` creates a sorting writer that buffers ALL rows until `Close()`\n3. **`parquetArchive.go:199`**: `var rows []ParquetMetricRow` starts at zero capacity, grows via append doubling\n\nPeak memory = (all hosts' rows) + (sorting writer copy) + (append overhead) = ~3x raw data size.\n\n## Fix: Stream per-host to parquet writer\n\nInstead of accumulating all rows, write each host's data as a separate row group.\n\n### Step 1: Add streaming parquet writer (`parquetArchive.go`)\n\nReplace `writeParquetArchive(filename, rows)` with a struct that supports incremental writes:\n\n```go\ntype parquetArchiveWriter struct {\n    writer *pq.GenericWriter[ParquetMetricRow]\n    bw     *bufio.Writer\n    f      *os.File\n    count  int\n}\n\nfunc newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error)\nfunc (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error  // Write + Flush (creates row group)\nfunc (w *parquetArchiveWriter) Close() error\n```\n\n- **Remove `SortingWriterConfig`** - no global sort buffer\n- Sort each host's rows in-place with `sort.Slice` before writing (cheap: single host data)\n- Each `Flush()` creates a separate row group per host\n\n### Step 2: Add row count estimation (`parquetArchive.go`)\n\n```go\nfunc estimateRowCount(cf *CheckpointFile) int\n```\n\nPre-allocate `rows` slice in `archiveCheckpointsToParquet` to avoid append doubling per host.\n\n### Step 3: Restructure `archiveCheckpoints` (`archive.go`)\n\nChange from:\n```\nworkers → channel → accumulate allRows → writeParquetArchive(allRows)\n```\n\nTo:\n```\nopen writer → workers → channel → for each host: sort rows, writer.WriteHostRows(rows) → close writer\n```\n\n- Only one host's rows in memory at a time\n- Track `files`/`dir` for deletion separately (don't retain rows)\n- Check `writer.count > 0` instead of `len(allRows) == 0`\n\n### Step 4: Update test (`parquetArchive_test.go`)\n\n- `TestParquetArchiveRoundtrip`: use new streaming writer API\n- Keep `archiveCheckpointsToParquet` returning rows (it's per-host, manageable size)\n\n## Files to Modify\n\n- **`pkg/metricstore/parquetArchive.go`**: Add `parquetArchiveWriter`, `estimateRowCount`; remove `writeParquetArchive`; add `\"sort\"` import\n- **`pkg/metricstore/archive.go`**: Restructure `archiveCheckpoints` to stream\n- **`pkg/metricstore/parquetArchive_test.go`**: Update roundtrip test\n\n## Memory Impact\n\n- **Before**: All hosts in memory (~40GB for 256 nodes) + sorting buffer (~40GB) = 68GB+\n- **After**: One host at a time (~16MB) + parquet page buffer (~1MB) = ~17MB peak\n\n## Sorting Tradeoff\n\nThe output changes from one globally-sorted row group to N row groups (one per host), each internally sorted by (metric, timestamp). This is actually better for ClusterCockpit's per-host query patterns (enables row group skipping).\n\n## Verification\n\n```bash\ngo test -v ./pkg/metricstore/...\n```\n\nAlso verify with `go vet ./pkg/metricstore/...` for correctness.\n"},"sourceToolAssistantUUID":"24b9150b-c58b-4643-90ee-51ca27affb84","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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diff --git a/4a/675b8352a2/0/metadata.json b/4a/675b8352a2/0/metadata.json
new file mode 100644
index 00000000..25e1b80b
--- /dev/null
+++ b/4a/675b8352a2/0/metadata.json
@@ -0,0 +1,32 @@
+{
+  "cli_version": "0.4.8",
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+  "session_id": "0943a044-b17e-4215-8591-c1a0c816ddf0",
+  "strategy": "manual-commit",
+  "created_at": "2026-03-18T04:08:45.361889Z",
+  "branch": "hotfix",
+  "checkpoints_count": 1,
+  "files_touched": [
+    "pkg/metricstore/archive.go",
+    "pkg/metricstore/parquetArchive.go",
+    "pkg/metricstore/parquetArchive_test.go"
+  ],
+  "agent": "Claude Code",
+  "turn_id": "90b76f55d190",
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diff --git a/4a/675b8352a2/0/prompt.txt b/4a/675b8352a2/0/prompt.txt
new file mode 100644
index 00000000..a76961c4
--- /dev/null
+++ b/4a/675b8352a2/0/prompt.txt
@@ -0,0 +1,105 @@
+Implement the following plan:
+
+# Fix: Memory Escalation in flattenCheckpointFile (68GB+)
+
+## Context
+
+Production gops shows `flattenCheckpointFile` allocating 68GB+ (74.89% of memory). The archiving pipeline accumulates ALL metric data from ALL hosts into a single `[]ParquetMetricRow` slice before writing to Parquet. For large HPC clusters this is catastrophic. Additionally, the `SortingWriterConfig` in the parquet writer buffers everything again internally.
+
+## Root Cause
+
+Two-layer unbounded accumulation:
+
+1. **`archive.go:239-242`**: `allRows = append(allRows, r.rows...)` merges every host's rows into one giant slice
+2. **`parquetArchive.go:108-116`**: `SortingWriterConfig` creates a sorting writer that buffers ALL rows until `Close()`
+3. **`parquetArchive.go:199`**: `var rows []ParquetMetricRow` starts at zero capacity, grows via append doubling
+
+Peak memory = (all hosts' rows) + (sorting writer copy) + (append overhead) = ~3x raw data size.
+
+## Fix: Stream per-host to parquet writer
+
+Instead of accumulating all rows, write each host's data as a separate row group.
+
+### Step 1: Add streaming parquet writer (`parquetArchive.go`)
+
+Replace `writeParquetArchive(filename, rows)` with a struct that supports incremental writes:
+
+```go
+type parquetArchiveWriter struct {
+    writer *pq.GenericWriter[ParquetMetricRow]
+    bw     *bufio.Writer
+    f      *os.File
+    count  int
+}
+
+func newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error)
+func (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error  // Write + Flush (creates row group)
+func (w *parquetArchiveWriter) Close() error
+```
+
+- **Remove `SortingWriterConfig`** - no global sort buffer
+- Sort each host's rows in-place with `sort.Slice` before writing (cheap: single host data)
+- Each `Flush()` creates a separate row group per host
+
+### Step 2: Add row count estimation (`parquetArchive.go`)
+
+```go
+func estimateRowCount(cf *CheckpointFile) int
+```
+
+Pre-allocate `rows` slice in `archiveCheckpointsToParquet` to avoid append doubling per host.
+
+### Step 3: Restructure `archiveCheckpoints` (`archive.go`)
+
+Change from:
+```
+workers → channel → accumulate allRows → writeParquetArchive(allRows)
+```
+
+To:
+```
+open writer → workers → channel → for each host: sort rows, writer.WriteHostRows(rows) → close writer
+```
+
+- Only one host's rows in memory at a time
+- Track `files`/`dir` for deletion separately (don't retain rows)
+- Check `writer.count > 0` instead of `len(allRows) == 0`
+
+### Step 4: Update test (`parquetArchive_test.go`)
+
+- `TestParquetArchiveRoundtrip`: use new streaming writer API
+- Keep `archiveCheckpointsToParquet` returning rows (it's per-host, manageable size)
+
+## Files to Modify
+
+- **`pkg/metricstore/parquetArchive.go`**: Add `parquetArchiveWriter`, `estimateRowCount`; remove `writeParquetArchive`; add `"sort"` import
+- **`pkg/metricstore/archive.go`**: Restructure `archiveCheckpoints` to stream
+- **`pkg/metricstore/parquetArchive_test.go`**: Update roundtrip test
+
+## Memory Impact
+
+- **Before**: All hosts in memory (~40GB for 256 nodes) + sorting buffer (~40GB) = 68GB+
+- **After**: One host at a time (~16MB) + parquet page buffer (~1MB) = ~17MB peak
+
+## Sorting Tradeoff
+
+The output changes from one globally-sorted row group to N row groups (one per host), each internally sorted by (metric, timestamp). This is actually better for ClusterCockpit's per-host query patterns (enables row group skipping).
+
+## Verification
+
+```bash
+go test -v ./pkg/metricstore/...
+```
+
+Also verify with `go vet ./pkg/metricstore/...` for correctness.
+
+
+If you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-CC-cc-backend/71340843-de3d-4e83-9dcb-2fc130c50e0d.jsonl
+
+---
+
+Are the any other cases with memory spikes using the Parquet Writer, e.g. in the nodestate retention?
+
+---
+
+[Request interrupted by user for tool use]
\ No newline at end of file
diff --git a/4a/675b8352a2/metadata.json b/4a/675b8352a2/metadata.json
new file mode 100644
index 00000000..ba7e39fd
--- /dev/null
+++ b/4a/675b8352a2/metadata.json
@@ -0,0 +1,28 @@
+{
+  "cli_version": "0.4.8",
+  "checkpoint_id": "4a675b8352a2",
+  "strategy": "manual-commit",
+  "branch": "hotfix",
+  "checkpoints_count": 1,
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+    "pkg/metricstore/parquetArchive.go",
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+  ],
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+}
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new file mode 100644
index 00000000..877773bb
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n//   - Overall (JobsStats): Single aggregate across all matching jobs\n//   - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n//   - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n//   - Duration, nodes, cores, accelerators (AddHistograms)\n//   - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n//   - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n//   - Resources: Natural value-based bins\n//   - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n//   - Duration calculated as (now - start_time) for running jobs\n//   - Metric histograms for running jobs load data from metric backend instead of footprint\n//   - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"golang.org/x/sync/errgroup\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser:       \"job.hpc_user\",\n\tmodel.AggregateProject:    \"job.project\",\n\tmodel.AggregateCluster:    \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs:      \"totalJobs\",\n\tmodel.SortByAggregateTotalusers:     \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime:  \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes:     \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores:     \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs:      \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours:  \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n//   - filter: Job filters to apply (cluster, user, time range, etc.)\n//   - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n//   - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n//   - Single count: COUNT(job.id) when col is empty\n//   - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n//   - \"running\": Only jobs with job_state = 'running'\n//   - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n//   - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(*)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(*)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = 'running'\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n// Only requested columns are computed; unrequested columns select 0 as placeholder.\n//\n// Parameters:\n//   - filter: Job filters to apply (cluster, user, time range, etc.)\n//   - col: Column name to GROUP BY; empty string for overall statistics without grouping\n//   - shortThreshold: Duration threshold in seconds for counting short-running jobs\n//   - reqFields: Set of requested field names; nil means compute all fields\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n\tshortThreshold int,\n\treqFields map[string]bool,\n) sq.SelectBuilder {\n\tnow := time.Now().Unix()\n\n\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n\tneed := func(field string) bool {\n\t\treturn reqFields == nil || reqFields[field]\n\t}\n\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n\n\t// Build column list\n\tcolumns := make([]string, 0, 14)\n\n\tif col != \"\" {\n\t\tcolumns = append(columns, col)\n\t}\n\n\tcolumns = append(columns, \"COUNT(*) as totalJobs\")\n\n\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n\t} else {\n\t\tcolumns = append(columns, \"0 AS totalUsers\")\n\t}\n\n\tif need(\"totalWalltime\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalWalltime\")\n\t}\n\n\tif need(\"totalNodes\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalNodes\")\n\t}\n\n\tif need(\"totalNodeHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n\t}\n\n\tif need(\"totalCores\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalCores\")\n\t}\n\n\tif need(\"totalCoreHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n\t}\n\n\tif need(\"totalAccs\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalAccs\")\n\t}\n\n\tif need(\"totalAccHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalAccHours\")\n\t}\n\n\tif need(\"runningJobs\") {\n\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as runningJobs\")\n\t}\n\n\tif need(\"shortJobs\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n\t} else {\n\t\tcolumns = append(columns, \"0 as shortJobs\")\n\t}\n\n\tquery := sq.Select(columns...).From(\"job\")\n\tif col != \"\" {\n\t\tquery = query.GroupBy(col)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n\treqFields map[string]bool,\n) ([]*model.JobsStatistics, error) {\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID:             id.String,\n\t\t\t\t\tTotalJobs:      int(jobs.Int64),\n\t\t\t\t\tTotalUsers:     int(users.Int64),\n\t\t\t\t\tTotalWalltime:  int(walltime.Int64),\n\t\t\t\t\tTotalNodes:     int(nodes.Int64),\n\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n\t\t\t\t\tTotalCores:     int(cores.Int64),\n\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n\t\t\t\t\tTotalAccs:      int(accs.Int64),\n\t\t\t\t\tTotalAccHours:  int(accHours.Int64),\n\t\t\t\t\tRunningJobs:    int(runningJobs.Int64),\n\t\t\t\t\tShortJobs:      int(shortJobs.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n\tif col == \"job.hpc_user\" && len(stats) > 0 {\n\t\tusernames := make([]any, len(stats))\n\t\tfor i, s := range stats {\n\t\t\tusernames[i] = s.ID\n\t\t}\n\n\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n\t\t\t// Non-fatal: stats are still valid without display names\n\t\t} else {\n\t\t\tdefer nameRows.Close()\n\t\t\tnameMap := make(map[string]string, len(stats))\n\t\t\tfor nameRows.Next() {\n\t\t\t\tvar username, name string\n\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n\t\t\t\t\tnameMap[username] = name\n\t\t\t\t}\n\t\t\t}\n\t\t\tfor _, s := range stats {\n\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n\t\t\t\t\ts.Name = name\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n//   - ctx: Context for security checks and cancellation\n//   - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n//   - totalJobs, totalUsers, totalWalltime\n//   - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\treqFields map[string]bool,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs:      int(jobs.Int64),\n\t\t\t\tTotalUsers:     int(users.Int64),\n\t\t\t\tTotalWalltime:  int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours:  totalAccHours,\n\t\t\t\tRunningJobs:    int(runningJobs.Int64),\n\t\t\t\tShortJobs:      int(shortJobs.Int64),\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n//   - job: Job struct with populated Statistics field\n//   - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n//   - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n//   - ctx: Context for security checks\n//   - filter: Filters to apply\n//   - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID:        id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n//   - ctx: Context for security checks\n//   - filter: Filters to apply\n//   - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n//   - stats: Existing statistics to augment (modified in-place by ID matching)\n//   - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n//   - ctx: Context for security checks\n//   - filter: Filters to apply\n//   - stats: Existing statistics to augment (modified in-place)\n//   - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n//   - ctx: Context for security checks\n//   - filter: Filters to apply to jobs included in histograms\n//   - stat: Statistics struct to augment (modified in-place)\n//   - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n//   - HistDuration: Job duration distribution (zero-padded bins)\n//   - HistNumNodes: Node count distribution\n//   - HistNumCores: Core (hwthread) count distribution\n//   - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\t// Run all 4 histogram queries in parallel — each writes a distinct struct field.\n\tg, gctx := errgroup.WithContext(ctx)\n\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(gctx, value, filter, targetBinSize, &targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\t}\n\t\treturn err\n\t})\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(gctx, \"job.num_nodes as value\", filter)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\t}\n\t\treturn err\n\t})\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistNumCores, err = r.jobsStatisticsHistogram(gctx, \"job.num_hwthreads as value\", filter)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\t}\n\t\treturn err\n\t})\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(gctx, \"job.num_acc as value\", filter)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\t}\n\t\treturn err\n\t})\n\n\tif err := g.Wait(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n//   - ctx: Context for security checks\n//   - filter: Filters to apply (MUST contain State filter for running jobs)\n//   - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n//   - stat: Statistics struct to augment (modified in-place)\n//   - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n//   - Values normalized to metric's peak value from cluster configuration\n//   - Bins evenly distributed from 0 to peak\n//   - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n//   - Running jobs: Limited to 5000 jobs for performance\n//   - Requires valid cluster configuration with metric peak values\n//   - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n//   - value: SQL expression that produces the histogram value, aliased as \"value\"\n//   - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n//   - value: SQL expression computing bin number from duration, aliased as \"value\"\n//   - filters: Job filters to apply\n//   - binSizeSeconds: Width of each bin in seconds\n//   - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n//  1. Pre-initialize targetBinCount bins with zero counts\n//  2. Query database for actual counts per bin\n//  3. Match query results to pre-initialized bins by value\n//  4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tbinMap[p.Value] = i\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins using map lookup.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n\t\t\tpoints[idx].Count = point.Count\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n//\n// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n// and computing bin assignments in SQL.\n//\n// Parameters:\n//   - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n//   - filters: Job filters to apply\n//   - bins: Number of bins to generate\n//\n// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n//\n// Algorithm:\n//  1. Determine peak value from cluster configuration (filtered cluster or max across all)\n//  2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n//  3. Pre-initialize bins with min/max ranges based on peak value\n//  4. Query database for counts per bin\n//  5. Match results to pre-initialized bins\n//\n// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n// peak by 0.999999999 to avoid creating an extra bin.\nfunc (r *JobRepository) jobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetric string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) (*model.MetricHistoPoints, error) {\n\t// Peak value defines the upper bound for binning: values are distributed across\n\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n\t// scan all clusters to find the maximum peak value.\n\tvar metricConfig *schema.MetricConfig\n\tvar peak float64\n\tvar unit string\n\tvar footprintStat string\n\n\t// Try to get metric config from filtered cluster\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\tpeak = metricConfig.Peak\n\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\tfootprintStat = metricConfig.Footprint\n\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n\t\t}\n\t}\n\n\t// If no cluster filter or peak not found, find largest peak across all clusters\n\t// This ensures histogram can accommodate all possible values\n\tif peak == 0.0 {\n\t\tfor _, c := range archive.Clusters {\n\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\tif m.Name == metric {\n\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t}\n\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t}\n\t\t\t\t\tif footprintStat == \"\" {\n\t\t\t\t\t\tfootprintStat = m.Footprint\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Construct SQL histogram bins using normalized values.\n\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n\tstart := time.Now()\n\n\t// Bin calculation formula:\n\t//   bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n\t// Special case: value == peak would create bin N+1, so we test for equality\n\t// and multiply peak by 0.999999999 to force it into bin N.\n\tbinQuery := fmt.Sprintf(`CAST(\n\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n\t\t* %v as INTEGER )`,\n\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n\n\tmainQuery := sq.Select(\n\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n\t\t`count(*) as count`,\n\t).From(\"job\").Where(\n\t\t\"JSON_VALID(footprint)\",\n\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n\n\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tmainQuery = BuildWhereClause(f, mainQuery)\n\t}\n\n\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n\n\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tidx := i\n\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Build a map from bin number to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tif p.Bin != nil {\n\t\t\tbinMap[*p.Bin] = i\n\t\t}\n\t}\n\n\t// Match query results to pre-initialized bins using map lookup.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rpoint.Bin != nil {\n\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n\t\t\t\tpoints[idx].Count = rpoint.Count\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}\n\n// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n//\n// Unlike completed jobs which use footprint data from the database, running jobs require\n// fetching current metric averages from the metric backend (via metricdispatch).\n//\n// Parameters:\n//   - metrics: List of metric names\n//   - filters: Job filters (should filter to running jobs only)\n//   - bins: Number of histogram bins\n//\n// Returns slice of MetricHistoPoints, one per metric.\n//\n// Limitations:\n//   - Maximum 5000 jobs (returns nil if more jobs match)\n//   - Requires metric backend availability\n//   - Bins based on metric peak values from cluster configuration\n//\n// Algorithm:\n//  1. Query first 5001 jobs to check count limit\n//  2. Load metric averages for all jobs via metricdispatch\n//  3. For each metric, create bins based on peak value\n//  4. Iterate averages and count jobs per bin\nfunc (r *JobRepository) runningJobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetrics []string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) []*model.MetricHistoPoints {\n\t// Get Jobs\n\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n\t\treturn nil\n\t}\n\tif len(jobs) > 5000 {\n\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n\t\treturn nil\n\t}\n\n\t// Get AVGs from metric repo\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n\t\t\treturn nil\n\t\t}\n\t}\n\n\t// Iterate metrics to fill endresult\n\tdata := make([]*model.MetricHistoPoints, 0)\n\tfor idx, metric := range metrics {\n\t\t// Get specific Peak or largest Peak\n\t\tvar metricConfig *schema.MetricConfig\n\t\tvar peak float64\n\t\tvar unit string\n\n\t\tfor _, f := range filters {\n\t\t\tif f.Cluster != nil {\n\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\t\tpeak = metricConfig.Peak\n\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\t}\n\t\t}\n\n\t\tif peak == 0.0 {\n\t\t\tfor _, c := range archive.Clusters {\n\t\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\t\tif m.Name == metric {\n\t\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Make and fill bins\n\t\tpeakBin := int(peak) / *bins\n\n\t\tpoints := make([]*model.MetricHistoPoint, 0)\n\t\tfor b := 0; b < *bins; b++ {\n\t\t\tcount := 0\n\t\t\tbindex := b + 1\n\t\t\tbmin := peakBin * b\n\t\t\tbmax := peakBin * (b + 1)\n\n\t\t\t// Iterate AVG values for indexed metric and count for bins\n\t\t\tfor _, val := range avgs[idx] {\n\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n\t\t\t\t\tcount += 1\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Append Bin to Metric Result Array\n\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n\t\t\tpoints = append(points, &point)\n\t\t}\n\n\t\t// Append Metric Result Array to final results array\n\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n\t\tdata = append(data, &result)\n\t}\n\n\treturn data\n}\n","structuredPatch":[{"oldStart":360,"oldLines":7,"newStart":360,"newLines":7,"lines":[" ","   var jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64","   if err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {","-    cclog.Warn(\"Error while scanning rows\")","+    cclog.Warnf(\"Error scanning job statistics row: %v\", err)","     return nil, err","   }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"81df65e2-1ff7-4289-ae50-143a949138bb","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"50633cd8-2ab8-4107-9a64-7f258725f2c3","version":"2.1.78","gitBranch":"hotfix","slug":"eventual-meandering-frog"}
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diff --git a/55/d95cdef0d4/0/metadata.json b/55/d95cdef0d4/0/metadata.json
new file mode 100644
index 00000000..0271eb91
--- /dev/null
+++ b/55/d95cdef0d4/0/metadata.json
@@ -0,0 +1,33 @@
+{
+  "cli_version": "0.5.0",
+  "checkpoint_id": "55d95cdef0d4",
+  "session_id": "50633cd8-2ab8-4107-9a64-7f258725f2c3",
+  "strategy": "manual-commit",
+  "created_at": "2026-03-18T08:43:41.822336Z",
+  "branch": "hotfix",
+  "checkpoints_count": 1,
+  "files_touched": [
+    "internal/repository/stats.go"
+  ],
+  "agent": "Claude Code",
+  "turn_id": "332ce0120020",
+  "token_usage": {
+    "input_tokens": 6,
+    "cache_creation_tokens": 13830,
+    "cache_read_tokens": 65089,
+    "output_tokens": 592,
+    "api_call_count": 4
+  },
+  "session_metrics": {
+    "turn_count": 1
+  },
+  "initial_attribution": {
+    "calculated_at": "2026-03-18T08:43:41.787054Z",
+    "agent_lines": 1,
+    "human_added": 0,
+    "human_modified": 0,
+    "human_removed": 0,
+    "total_committed": 1,
+    "agent_percentage": 100
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+}
diff --git a/55/d95cdef0d4/0/prompt.txt b/55/d95cdef0d4/0/prompt.txt
new file mode 100644
index 00000000..64c8083c
--- /dev/null
+++ b/55/d95cdef0d4/0/prompt.txt
@@ -0,0 +1 @@
+Make the log message in line 363 more descriptive
\ No newline at end of file
diff --git a/55/d95cdef0d4/metadata.json b/55/d95cdef0d4/metadata.json
new file mode 100644
index 00000000..eaa29f20
--- /dev/null
+++ b/55/d95cdef0d4/metadata.json
@@ -0,0 +1,25 @@
+{
+  "cli_version": "0.5.0",
+  "checkpoint_id": "55d95cdef0d4",
+  "strategy": "manual-commit",
+  "branch": "hotfix",
+  "checkpoints_count": 1,
+  "files_touched": [
+    "internal/repository/stats.go"
+  ],
+  "sessions": [
+    {
+      "metadata": "/55/d95cdef0d4/0/metadata.json",
+      "transcript": "/55/d95cdef0d4/0/full.jsonl",
+      "content_hash": "/55/d95cdef0d4/0/content_hash.txt",
+      "prompt": "/55/d95cdef0d4/0/prompt.txt"
+    }
+  ],
+  "token_usage": {
+    "input_tokens": 6,
+    "cache_creation_tokens": 13830,
+    "cache_read_tokens": 65089,
+    "output_tokens": 592,
+    "api_call_count": 4
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diff --git a/75/36f551d548/0/content_hash.txt b/75/36f551d548/0/content_hash.txt
new file mode 100644
index 00000000..cc068751
--- /dev/null
+++ b/75/36f551d548/0/content_hash.txt
@@ -0,0 +1 @@
+sha256:154847cd4ceacc47be70211aac9e33818baee0431d901991a7f25122cc0211b4
\ No newline at end of file
diff --git a/75/36f551d548/0/full.jsonl b/75/36f551d548/0/full.jsonl
new file mode 100644
index 00000000..f8586712
--- /dev/null
+++ b/75/36f551d548/0/full.jsonl
@@ -0,0 +1,61 @@
+{"type":"file-history-snapshot","messageId":"ab181f19-5821-43a1-b299-bf12bb7e5e03","snapshot":{"messageId":"ab181f19-5821-43a1-b299-bf12bb7e5e03","trackedFileBackups":{},"timestamp":"2026-03-20T06:57:51.744Z"},"isSnapshotUpdate":false}
+{"parentUuid":null,"isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"2527afbd-665a-4323-b5df-4647dcf2dd97","toolUseID":"2527afbd-665a-4323-b5df-4647dcf2dd97","timestamp":"2026-03-20T06:57:51.690Z","uuid":"d2757d39-f9fb-4724-9c47-eb619756e864","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5d633205-ed07-498a-ac3d-82cfd0c72914","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"d2757d39-f9fb-4724-9c47-eb619756e864","isSidechain":false,"promptId":"1822ac8b-6591-4977-8dec-79c4374fa5bd","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Derive MinimumPoints automatically from policy\n\n## Context\n\nThe previous commit replaced `resolutions`/`trigger` with `default-policy`/`default-algo` in `ResampleConfig`. The `MinimumPoints` field still exists as a manual config value (`\"minimum-points\"` in JSON), but it's redundant — since we now always have a policy (user pref or default), the target points from that policy are the natural minimum threshold for resampling.\n\nThe resampler library (`cc-lib/v2/resampler`) has a global `MinimumRequiredPoints` (default 1000) set via `SetMinimumRequiredPoints()`. Currently this is set in `config.Init()` only when `minimum-points > 0` in config.json.\n\n**Goal**: Remove `MinimumPoints` from config and derive it automatically from the default policy's target points (low=200, medium=500, high=1000).\n\n## Changes\n\n### 1. `internal/config/config.go`\n- Remove `MinimumPoints int` field from `ResampleConfig`\n- In `Init()`: replace the `MinimumPoints > 0` check with policy-derived logic:\n  - Use `metricdispatch.TargetPointsForPolicy()` on `DefaultPolicy` (or \"medium\" if empty) to get the target points\n  - Call `resampler.SetMinimumRequiredPoints(targetPoints)`\n- This requires importing `metricdispatch` — need to check for import cycles\n\n**Import cycle concern**: `config` is imported by almost everything. `metricdispatch` imports `config`. So `config` cannot import `metricdispatch`.\n\n**Solution**: Inline the policy→targetPoints mapping in `config.Init()` instead of calling `metricdispatch.TargetPointsForPolicy()`. A simple switch on `DefaultPolicy`:\n```go\nfunc targetPointsForPolicy(policy string) int {\n    switch policy {\n    case \"low\":    return 200\n    case \"medium\": return 500\n    case \"high\":   return 1000\n    default:       return 500 // medium fallback\n    }\n}\n```\n\nThen in `Init()`:\n```go\nif Keys.EnableResampling != nil {\n    policy := Keys.EnableResampling.DefaultPolicy\n    if policy == \"\" {\n        policy = \"medium\"\n    }\n    resampler.SetMinimumRequiredPoints(targetPointsForPolicy(policy))\n}\n```\n\n### 2. `internal/config/schema.go`\n- Remove `minimum-points` property from the `resampling` JSON schema object\n\n### 3. `config.json` / `configs/config.json`\n- Remove `\"minimum-points\"` key from the resampling block (it was already removed from `config.json` in the previous commit; check `configs/config.json` still has it)\n\n## Files to modify\n1. `internal/config/config.go` — remove field, add helper, update `Init()`\n2. `internal/config/schema.go` — remove `minimum-points` property\n3. `configs/config.json` — remove `minimum-points` from resampling block\n\n## Verification\n1. `go build ./...` — must compile\n2. `go test ./internal/config/...` — config tests pass\n3. `go test ./internal/metricdispatch/...` — resample policy tests still pass\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/9a08e650-0994-4213-b4b8-8d13b8cd4026.jsonl"},"uuid":"ab181f19-5821-43a1-b299-bf12bb7e5e03","timestamp":"2026-03-20T06:57:51.513Z","planContent":"# Derive MinimumPoints automatically from policy\n\n## Context\n\nThe previous commit replaced `resolutions`/`trigger` with `default-policy`/`default-algo` in `ResampleConfig`. The `MinimumPoints` field still exists as a manual config value (`\"minimum-points\"` in JSON), but it's redundant — since we now always have a policy (user pref or default), the target points from that policy are the natural minimum threshold for resampling.\n\nThe resampler library (`cc-lib/v2/resampler`) has a global `MinimumRequiredPoints` (default 1000) set via `SetMinimumRequiredPoints()`. Currently this is set in `config.Init()` only when `minimum-points > 0` in config.json.\n\n**Goal**: Remove `MinimumPoints` from config and derive it automatically from the default policy's target points (low=200, medium=500, high=1000).\n\n## Changes\n\n### 1. `internal/config/config.go`\n- Remove `MinimumPoints int` field from `ResampleConfig`\n- In `Init()`: replace the `MinimumPoints > 0` check with policy-derived logic:\n  - Use `metricdispatch.TargetPointsForPolicy()` on `DefaultPolicy` (or \"medium\" if empty) to get the target points\n  - Call `resampler.SetMinimumRequiredPoints(targetPoints)`\n- This requires importing `metricdispatch` — need to check for import cycles\n\n**Import cycle concern**: `config` is imported by almost everything. `metricdispatch` imports `config`. So `config` cannot import `metricdispatch`.\n\n**Solution**: Inline the policy→targetPoints mapping in `config.Init()` instead of calling `metricdispatch.TargetPointsForPolicy()`. A simple switch on `DefaultPolicy`:\n```go\nfunc targetPointsForPolicy(policy string) int {\n    switch policy {\n    case \"low\":    return 200\n    case \"medium\": return 500\n    case \"high\":   return 1000\n    default:       return 500 // medium fallback\n    }\n}\n```\n\nThen in `Init()`:\n```go\nif Keys.EnableResampling != nil {\n    policy := Keys.EnableResampling.DefaultPolicy\n    if policy == \"\" {\n        policy = \"medium\"\n    }\n    resampler.SetMinimumRequiredPoints(targetPointsForPolicy(policy))\n}\n```\n\n### 2. `internal/config/schema.go`\n- Remove `minimum-points` property from the `resampling` JSON schema object\n\n### 3. `config.json` / `configs/config.json`\n- Remove `\"minimum-points\"` key from the resampling block (it was already removed from `config.json` in the previous commit; check `configs/config.json` still has it)\n\n## Files to modify\n1. `internal/config/config.go` — remove field, add helper, update `Init()`\n2. `internal/config/schema.go` — remove `minimum-points` property\n3. `configs/config.json` — remove `minimum-points` from resampling block\n\n## Verification\n1. `go build ./...` — must compile\n2. `go test ./internal/config/...` — config tests pass\n3. `go test ./internal/metricdispatch/...` — resample policy tests still pass\n","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5d633205-ed07-498a-ac3d-82cfd0c72914","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package config implements the program configuration data structures, validation and parsing\n     7→package config\n     8→\n     9→import (\n    10→\t\"bytes\"\n    11→\t\"encoding/json\"\n    12→\t\"time\"\n    13→\n    14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    15→\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n    16→)\n    17→\n    18→type ProgramConfig struct {\n    19→\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n    20→\tAddr string `json:\"addr\"`\n    21→\n    22→\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n    23→\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n    24→\n    25→\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n    26→\n    27→\t// Drop root permissions once .env was read and the port was taken.\n    28→\tUser  string `json:\"user\"`\n    29→\tGroup string `json:\"group\"`\n    30→\n    31→\t// Disable authentication (for everything: API, Web-UI, ...)\n    32→\tDisableAuthentication bool `json:\"disable-authentication\"`\n    33→\n    34→\t// If `embed-static-files` is true (default), the frontend files are directly\n    35→\t// embeded into the go binary and expected to be in web/frontend. Only if\n    36→\t// it is false the files in `static-files` are served instead.\n    37→\tEmbedStaticFiles bool   `json:\"embed-static-files\"`\n    38→\tStaticFiles      string `json:\"static-files\"`\n    39→\n    40→\t// Path to SQLite database file\n    41→\tDB string `json:\"db\"`\n    42→\n    43→\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n    44→\n    45→\t// Validate json input against schema\n    46→\tValidate bool `json:\"validate\"`\n    47→\n    48→\t// If 0 or empty, the session does not expire!\n    49→\tSessionMaxAge string `json:\"session-max-age\"`\n    50→\n    51→\t// If both those options are not empty, use HTTPS using those certificates.\n    52→\tHTTPSCertFile string `json:\"https-cert-file\"`\n    53→\tHTTPSKeyFile  string `json:\"https-key-file\"`\n    54→\n    55→\t// If not the empty string and `addr` does not end in \":80\",\n    56→\t// redirect every request incoming at port 80 to that url.\n    57→\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n    58→\n    59→\t// Where to store MachineState files\n    60→\tMachineStateDir string `json:\"machine-state-dir\"`\n    61→\n    62→\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n    63→\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n    64→\n    65→\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n    66→\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n    67→\n    68→\t// Energy Mix CO2 Emission Constant [g/kWh]\n    69→\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n    70→\tEmissionConstant int `json:\"emission-constant\"`\n    71→\n    72→\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n    73→\tEnableResampling *ResampleConfig `json:\"resampling\"`\n    74→\n    75→\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n    76→\tSystemdUnit string `json:\"systemd-unit\"`\n    77→\n    78→\t// Node state retention configuration\n    79→\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n    80→\n    81→\t// Database tuning configuration\n    82→\tDbConfig *DbConfig `json:\"db-config\"`\n    83→}\n    84→\n    85→type DbConfig struct {\n    86→\tCacheSizeMB               int `json:\"cache-size-mb\"`\n    87→\tSoftHeapLimitMB           int `json:\"soft-heap-limit-mb\"`\n    88→\tMaxOpenConnections        int `json:\"max-open-connections\"`\n    89→\tMaxIdleConnections        int `json:\"max-idle-connections\"`\n    90→\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n    91→\tBusyTimeoutMs             int `json:\"busy-timeout-ms\"`\n    92→}\n    93→\n    94→type NodeStateRetention struct {\n    95→\tPolicy             string `json:\"policy\"`      // \"delete\" or \"move\"\n    96→\tAge                int    `json:\"age\"`         // hours, default 24\n    97→\tTargetKind         string `json:\"target-kind\"` // \"file\" or \"s3\"\n    98→\tTargetPath         string `json:\"target-path\"`\n    99→\tTargetEndpoint     string `json:\"target-endpoint\"`\n   100→\tTargetBucket       string `json:\"target-bucket\"`\n   101→\tTargetAccessKey    string `json:\"target-access-key\"`\n   102→\tTargetSecretKey    string `json:\"target-secret-key\"`\n   103→\tTargetRegion       string `json:\"target-region\"`\n   104→\tTargetUsePathStyle bool   `json:\"target-use-path-style\"`\n   105→\tMaxFileSizeMB      int    `json:\"max-file-size-mb\"`\n   106→}\n   107→\n   108→type ResampleConfig struct {\n   109→\t// Minimum number of points to trigger resampling of data\n   110→\tMinimumPoints int `json:\"minimum-points\"`\n   111→\t// Default resample policy when no user preference is set (\"low\", \"medium\", \"high\")\n   112→\tDefaultPolicy string `json:\"default-policy\"`\n   113→\t// Default resample algorithm when no user preference is set (\"lttb\", \"average\", \"simple\")\n   114→\tDefaultAlgo string `json:\"default-algo\"`\n   115→\t// Policy-derived target point count (set dynamically from user preference, not from config.json)\n   116→\tTargetPoints int `json:\"targetPoints,omitempty\"`\n   117→}\n   118→\n   119→type NATSConfig struct {\n   120→\tSubjectJobEvent  string `json:\"subject-job-event\"`\n   121→\tSubjectNodeState string `json:\"subject-node-state\"`\n   122→\tJobConcurrency   int    `json:\"job-concurrency\"`\n   123→\tNodeConcurrency  int    `json:\"node-concurrency\"`\n   124→}\n   125→\n   126→type IntRange struct {\n   127→\tFrom int `json:\"from\"`\n   128→\tTo   int `json:\"to\"`\n   129→}\n   130→\n   131→type TimeRange struct {\n   132→\tFrom  *time.Time `json:\"from\"`\n   133→\tTo    *time.Time `json:\"to\"`\n   134→\tRange string     `json:\"range,omitempty\"`\n   135→}\n   136→\n   137→type FilterRanges struct {\n   138→\tDuration  *IntRange  `json:\"duration\"`\n   139→\tNumNodes  *IntRange  `json:\"num-nodes\"`\n   140→\tStartTime *TimeRange `json:\"start-time\"`\n   141→}\n   142→\n   143→var Keys ProgramConfig = ProgramConfig{\n   144→\tAddr:                      \"localhost:8080\",\n   145→\tEmbedStaticFiles:          true,\n   146→\tDB:                        \"./var/job.db\",\n   147→\tSessionMaxAge:             \"168h\",\n   148→\tStopJobsExceedingWalltime: 0,\n   149→\tShortRunningJobsDuration:  5 * 60,\n   150→}\n   151→\n   152→func Init(mainConfig json.RawMessage) {\n   153→\tValidate(configSchema, mainConfig)\n   154→\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n   155→\tdec.DisallowUnknownFields()\n   156→\tif err := dec.Decode(&Keys); err != nil {\n   157→\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n   158→\t}\n   159→\n   160→\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n   161→\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n   162→\t}\n   163→}\n   164→"}]},"uuid":"b6a7710c-ff5c-4db1-9b3a-1319632bb115","timestamp":"2026-03-20T06:57:56.188Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package config implements the program configuration data structures, validation and parsing\npackage config\n\nimport (\n\t\"bytes\"\n\t\"encoding/json\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n)\n\ntype ProgramConfig struct {\n\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n\tAddr string `json:\"addr\"`\n\n\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n\n\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n\n\t// Drop root permissions once .env was read and the port was taken.\n\tUser  string `json:\"user\"`\n\tGroup string `json:\"group\"`\n\n\t// Disable authentication (for everything: API, Web-UI, ...)\n\tDisableAuthentication bool `json:\"disable-authentication\"`\n\n\t// If `embed-static-files` is true (default), the frontend files are directly\n\t// embeded into the go binary and expected to be in web/frontend. Only if\n\t// it is false the files in `static-files` are served instead.\n\tEmbedStaticFiles bool   `json:\"embed-static-files\"`\n\tStaticFiles      string `json:\"static-files\"`\n\n\t// Path to SQLite database file\n\tDB string `json:\"db\"`\n\n\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n\n\t// Validate json input against schema\n\tValidate bool `json:\"validate\"`\n\n\t// If 0 or empty, the session does not expire!\n\tSessionMaxAge string `json:\"session-max-age\"`\n\n\t// If both those options are not empty, use HTTPS using those certificates.\n\tHTTPSCertFile string `json:\"https-cert-file\"`\n\tHTTPSKeyFile  string `json:\"https-key-file\"`\n\n\t// If not the empty string and `addr` does not end in \":80\",\n\t// redirect every request incoming at port 80 to that url.\n\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n\n\t// Where to store MachineState files\n\tMachineStateDir string `json:\"machine-state-dir\"`\n\n\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n\n\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n\n\t// Energy Mix CO2 Emission Constant [g/kWh]\n\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n\tEmissionConstant int `json:\"emission-constant\"`\n\n\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n\tEnableResampling *ResampleConfig `json:\"resampling\"`\n\n\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n\tSystemdUnit string `json:\"systemd-unit\"`\n\n\t// Node state retention configuration\n\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n\n\t// Database tuning configuration\n\tDbConfig *DbConfig `json:\"db-config\"`\n}\n\ntype DbConfig struct {\n\tCacheSizeMB               int `json:\"cache-size-mb\"`\n\tSoftHeapLimitMB           int `json:\"soft-heap-limit-mb\"`\n\tMaxOpenConnections        int `json:\"max-open-connections\"`\n\tMaxIdleConnections        int `json:\"max-idle-connections\"`\n\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n\tBusyTimeoutMs             int `json:\"busy-timeout-ms\"`\n}\n\ntype NodeStateRetention struct {\n\tPolicy             string `json:\"policy\"`      // \"delete\" or \"move\"\n\tAge                int    `json:\"age\"`         // hours, default 24\n\tTargetKind         string `json:\"target-kind\"` // \"file\" or \"s3\"\n\tTargetPath         string `json:\"target-path\"`\n\tTargetEndpoint     string `json:\"target-endpoint\"`\n\tTargetBucket       string `json:\"target-bucket\"`\n\tTargetAccessKey    string `json:\"target-access-key\"`\n\tTargetSecretKey    string `json:\"target-secret-key\"`\n\tTargetRegion       string `json:\"target-region\"`\n\tTargetUsePathStyle bool   `json:\"target-use-path-style\"`\n\tMaxFileSizeMB      int    `json:\"max-file-size-mb\"`\n}\n\ntype ResampleConfig struct {\n\t// Minimum number of points to trigger resampling of data\n\tMinimumPoints int `json:\"minimum-points\"`\n\t// Default resample policy when no user preference is set (\"low\", \"medium\", \"high\")\n\tDefaultPolicy string `json:\"default-policy\"`\n\t// Default resample algorithm when no user preference is set (\"lttb\", \"average\", \"simple\")\n\tDefaultAlgo string `json:\"default-algo\"`\n\t// Policy-derived target point count (set dynamically from user preference, not from config.json)\n\tTargetPoints int `json:\"targetPoints,omitempty\"`\n}\n\ntype NATSConfig struct {\n\tSubjectJobEvent  string `json:\"subject-job-event\"`\n\tSubjectNodeState string `json:\"subject-node-state\"`\n\tJobConcurrency   int    `json:\"job-concurrency\"`\n\tNodeConcurrency  int    `json:\"node-concurrency\"`\n}\n\ntype IntRange struct {\n\tFrom int `json:\"from\"`\n\tTo   int `json:\"to\"`\n}\n\ntype TimeRange struct {\n\tFrom  *time.Time `json:\"from\"`\n\tTo    *time.Time `json:\"to\"`\n\tRange string     `json:\"range,omitempty\"`\n}\n\ntype FilterRanges struct {\n\tDuration  *IntRange  `json:\"duration\"`\n\tNumNodes  *IntRange  `json:\"num-nodes\"`\n\tStartTime *TimeRange `json:\"start-time\"`\n}\n\nvar Keys ProgramConfig = ProgramConfig{\n\tAddr:                      \"localhost:8080\",\n\tEmbedStaticFiles:          true,\n\tDB:                        \"./var/job.db\",\n\tSessionMaxAge:             \"168h\",\n\tStopJobsExceedingWalltime: 0,\n\tShortRunningJobsDuration:  5 * 60,\n}\n\nfunc Init(mainConfig json.RawMessage) {\n\tValidate(configSchema, mainConfig)\n\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&Keys); err != nil {\n\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n\t}\n\n\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n\t}\n}\n","numLines":164,"startLine":1,"totalLines":164}},"sourceToolAssistantUUID":"a6b98943-7dc6-4f3e-bd35-e699271afe38","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5d633205-ed07-498a-ac3d-82cfd0c72914","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"b6a7710c-ff5c-4db1-9b3a-1319632bb115","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01DoEdMJZ8PYdPDhCabx7MFc","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Gcqzy1Ze9Pv1vJNeXFQAY6","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/schema.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":11290,"cache_read_input_tokens":8658,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":11290},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDu1jNLPLymUMRUX75mj","type":"assistant","uuid":"c1c79e2e-4aba-4d52-81a2-1cd32da48600","timestamp":"2026-03-20T06:57:56.420Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5d633205-ed07-498a-ac3d-82cfd0c72914","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"c1c79e2e-4aba-4d52-81a2-1cd32da48600","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01Gcqzy1Ze9Pv1vJNeXFQAY6","toolUseID":"toolu_01Gcqzy1Ze9Pv1vJNeXFQAY6","timestamp":"2026-03-20T06:57:56.434Z","uuid":"c2772bfb-a93f-48b6-b5c7-1efb4a43ec0f","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5d633205-ed07-498a-ac3d-82cfd0c72914","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"c1c79e2e-4aba-4d52-81a2-1cd32da48600","isSidechain":false,"promptId":"1822ac8b-6591-4977-8dec-79c4374fa5bd","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Gcqzy1Ze9Pv1vJNeXFQAY6","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package config\n     7→\n     8→var configSchema = `\n     9→{\n    10→  \"type\": \"object\",\n    11→  \"properties\": {\n    12→    \"addr\": {\n    13→      \"description\": \"Address where the http (or https) server will listen on (for example: 'localhost:80').\",\n    14→      \"type\": \"string\"\n    15→    },\n    16→    \"api-allowed-ips\": {\n    17→      \"description\": \"Addresses from which secured API endpoints can be reached\",\n    18→      \"type\": \"array\",\n    19→      \"items\": {\n    20→        \"type\": \"string\"\n    21→      }\n    22→    },\n    23→    \"user\": {\n    24→      \"description\": \"Drop root permissions once .env was read and the port was taken. Only applicable if using privileged port.\",\n    25→      \"type\": \"string\"\n    26→    },\n    27→    \"group\": {\n    28→      \"description\": \"Drop root permissions once .env was read and the port was taken. Only applicable if using privileged port.\",\n    29→      \"type\": \"string\"\n    30→    },\n    31→    \"disable-authentication\": {\n    32→      \"description\": \"Disable authentication (for everything: API, Web-UI, ...).\",\n    33→      \"type\": \"boolean\"\n    34→    },\n    35→    \"embed-static-files\": {\n    36→      \"description\": \"If all files in web/frontend/public should be served from within the binary itself (they are embedded) or not.\",\n    37→      \"type\": \"boolean\"\n    38→    },\n    39→    \"static-files\": {\n    40→      \"description\": \"Folder where static assets can be found, if embed-static-files is false.\",\n    41→      \"type\": \"string\"\n    42→    },\n    43→    \"db\": {\n    44→      \"description\": \"Path to SQLite database file (e.g., './var/job.db')\",\n    45→      \"type\": \"string\"\n    46→    },\n    47→    \"enable-job-taggers\": {\n    48→      \"description\": \"Turn on automatic application and jobclass taggers\",\n    49→      \"type\": \"boolean\"\n    50→    },\n    51→    \"validate\": {\n    52→      \"description\": \"Validate all input json documents against json schema.\",\n    53→      \"type\": \"boolean\"\n    54→    },\n    55→    \"session-max-age\": {\n    56→      \"description\": \"Specifies for how long a session shall be valid  as a string parsable by time.ParseDuration(). If 0 or empty, the session/token does not expire!\",\n    57→      \"type\": \"string\"\n    58→    },\n    59→    \"https-cert-file\": {\n    60→      \"description\": \"Filepath to SSL certificate. If also https-key-file is set use HTTPS using those certificates.\",\n    61→      \"type\": \"string\"\n    62→    },\n    63→    \"https-key-file\": {\n    64→      \"description\": \"Filepath to SSL key file. If also https-cert-file is set use HTTPS using those certificates.\",\n    65→      \"type\": \"string\"\n    66→    },\n    67→    \"redirect-http-to\": {\n    68→      \"description\": \"If not the empty string and addr does not end in :80, redirect every request incoming at port 80 to that url.\",\n    69→      \"type\": \"string\"\n    70→    },\n    71→    \"stop-jobs-exceeding-walltime\": {\n    72→      \"description\": \"If not zero, automatically mark jobs as stopped running X seconds longer than their walltime. Only applies if walltime is set for job.\",\n    73→      \"type\": \"integer\"\n    74→    },\n    75→    \"short-running-jobs-duration\": {\n    76→      \"description\": \"Do not show running jobs shorter than X seconds.\",\n    77→      \"type\": \"integer\"\n    78→    },\n    79→    \"emission-constant\": {\n    80→      \"description\": \"Energy mix CO2 emission constant [g/kWh]. If set, displays estimated CO2 emission for jobs.\",\n    81→      \"type\": \"integer\"\n    82→    },\n    83→    \"machine-state-dir\": {\n    84→      \"description\": \"Where to store MachineState files.\",\n    85→      \"type\": \"string\"\n    86→    },\n    87→    \"systemd-unit\": {\n    88→      \"description\": \"Systemd unit name for log viewer (default: 'clustercockpit').\",\n    89→      \"type\": \"string\"\n    90→    },\n    91→    \"resampling\": {\n    92→      \"description\": \"Enable dynamic zoom in frontend metric plots.\",\n    93→      \"type\": \"object\",\n    94→      \"properties\": {\n    95→        \"minimum-points\": {\n    96→          \"description\": \"Minimum points to trigger resampling of time-series data.\",\n    97→          \"type\": \"integer\"\n    98→        },\n    99→        \"default-policy\": {\n   100→          \"description\": \"Default resample policy when no user preference is set.\",\n   101→          \"type\": \"string\",\n   102→          \"enum\": [\"low\", \"medium\", \"high\"]\n   103→        },\n   104→        \"default-algo\": {\n   105→          \"description\": \"Default resample algorithm when no user preference is set.\",\n   106→          \"type\": \"string\",\n   107→          \"enum\": [\"lttb\", \"average\", \"simple\"]\n   108→        }\n   109→      }\n   110→    },\n   111→    \"api-subjects\": {\n   112→      \"description\": \"NATS subjects configuration for subscribing to job and node events.\",\n   113→      \"type\": \"object\",\n   114→      \"properties\": {\n   115→        \"subject-job-event\": {\n   116→          \"description\": \"NATS subject for job events (start_job, stop_job)\",\n   117→          \"type\": \"string\"\n   118→        },\n   119→        \"subject-node-state\": {\n   120→          \"description\": \"NATS subject for node state updates\",\n   121→          \"type\": \"string\"\n   122→        },\n   123→        \"job-concurrency\": {\n   124→          \"description\": \"Number of concurrent worker goroutines for processing job events (default: 8).\",\n   125→          \"type\": \"integer\"\n   126→        },\n   127→        \"node-concurrency\": {\n   128→          \"description\": \"Number of concurrent worker goroutines for processing node state events (default: 2).\",\n   129→          \"type\": \"integer\"\n   130→        }\n   131→      },\n   132→      \"required\": [\"subject-job-event\", \"subject-node-state\"]\n   133→    },\n   134→    \"nodestate-retention\": {\n   135→      \"description\": \"Node state retention configuration for cleaning up old node_state rows.\",\n   136→      \"type\": \"object\",\n   137→      \"properties\": {\n   138→        \"policy\": {\n   139→          \"description\": \"Retention policy: 'delete' to remove old rows, 'move' to archive to Parquet then delete.\",\n   140→          \"type\": \"string\",\n   141→          \"enum\": [\"delete\", \"move\"]\n   142→        },\n   143→        \"age\": {\n   144→          \"description\": \"Retention age in hours (default: 24).\",\n   145→          \"type\": \"integer\"\n   146→        },\n   147→        \"target-kind\": {\n   148→          \"description\": \"Target kind for parquet archiving: 'file' or 's3'.\",\n   149→          \"type\": \"string\",\n   150→          \"enum\": [\"file\", \"s3\"]\n   151→        },\n   152→        \"target-path\": {\n   153→          \"description\": \"Filesystem path for parquet file target.\",\n   154→          \"type\": \"string\"\n   155→        },\n   156→        \"target-endpoint\": {\n   157→          \"description\": \"S3 endpoint URL.\",\n   158→          \"type\": \"string\"\n   159→        },\n   160→        \"target-bucket\": {\n   161→          \"description\": \"S3 bucket name.\",\n   162→          \"type\": \"string\"\n   163→        },\n   164→        \"target-access-key\": {\n   165→          \"description\": \"S3 access key.\",\n   166→          \"type\": \"string\"\n   167→        },\n   168→        \"target-secret-key\": {\n   169→          \"description\": \"S3 secret key.\",\n   170→          \"type\": \"string\"\n   171→        },\n   172→        \"target-region\": {\n   173→          \"description\": \"S3 region.\",\n   174→          \"type\": \"string\"\n   175→        },\n   176→        \"target-use-path-style\": {\n   177→          \"description\": \"Use path-style S3 addressing.\",\n   178→          \"type\": \"boolean\"\n   179→        },\n   180→        \"max-file-size-mb\": {\n   181→          \"description\": \"Maximum parquet file size in MB (default: 128).\",\n   182→          \"type\": \"integer\"\n   183→        }\n   184→      },\n   185→      \"required\": [\"policy\"]\n   186→    },\n   187→    \"db-config\": {\n   188→      \"description\": \"SQLite database tuning configuration.\",\n   189→      \"type\": \"object\",\n   190→      \"properties\": {\n   191→        \"cache-size-mb\": {\n   192→          \"description\": \"SQLite page cache size per connection in MB (default: 2048).\",\n   193→          \"type\": \"integer\"\n   194→        },\n   195→        \"soft-heap-limit-mb\": {\n   196→          \"description\": \"Process-wide SQLite soft heap limit in MB (default: 16384).\",\n   197→          \"type\": \"integer\"\n   198→        },\n   199→        \"max-open-connections\": {\n   200→          \"description\": \"Maximum number of open database connections (default: 4).\",\n   201→          \"type\": \"integer\"\n   202→        },\n   203→        \"max-idle-connections\": {\n   204→          \"description\": \"Maximum number of idle database connections (default: 4).\",\n   205→          \"type\": \"integer\"\n   206→        },\n   207→        \"max-idle-time-minutes\": {\n   208→          \"description\": \"Maximum idle time for a connection in minutes (default: 10).\",\n   209→          \"type\": \"integer\"\n   210→        },\n   211→        \"busy-timeout-ms\": {\n   212→          \"description\": \"SQLite busy timeout in milliseconds. When a write is blocked, SQLite retries with backoff for up to this duration before returning SQLITE_BUSY (default: 60000).\",\n   213→          \"type\": \"integer\"\n   214→        }\n   215→      }\n   216→    }\n   217→  }\n   218→}`\n   219→"}]},"uuid":"9f3ac2e4-6404-4df9-a903-2db818d09bba","timestamp":"2026-03-20T06:57:56.433Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/schema.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage config\n\nvar configSchema = `\n{\n  \"type\": \"object\",\n  \"properties\": {\n    \"addr\": {\n      \"description\": \"Address where the http (or https) server will listen on (for example: 'localhost:80').\",\n      \"type\": \"string\"\n    },\n    \"api-allowed-ips\": {\n      \"description\": \"Addresses from which secured API endpoints can be reached\",\n      \"type\": \"array\",\n      \"items\": {\n        \"type\": \"string\"\n      }\n    },\n    \"user\": {\n      \"description\": \"Drop root permissions once .env was read and the port was taken. Only applicable if using privileged port.\",\n      \"type\": \"string\"\n    },\n    \"group\": {\n      \"description\": \"Drop root permissions once .env was read and the port was taken. Only applicable if using privileged port.\",\n      \"type\": \"string\"\n    },\n    \"disable-authentication\": {\n      \"description\": \"Disable authentication (for everything: API, Web-UI, ...).\",\n      \"type\": \"boolean\"\n    },\n    \"embed-static-files\": {\n      \"description\": \"If all files in web/frontend/public should be served from within the binary itself (they are embedded) or not.\",\n      \"type\": \"boolean\"\n    },\n    \"static-files\": {\n      \"description\": \"Folder where static assets can be found, if embed-static-files is false.\",\n      \"type\": \"string\"\n    },\n    \"db\": {\n      \"description\": \"Path to SQLite database file (e.g., './var/job.db')\",\n      \"type\": \"string\"\n    },\n    \"enable-job-taggers\": {\n      \"description\": \"Turn on automatic application and jobclass taggers\",\n      \"type\": \"boolean\"\n    },\n    \"validate\": {\n      \"description\": \"Validate all input json documents against json schema.\",\n      \"type\": \"boolean\"\n    },\n    \"session-max-age\": {\n      \"description\": \"Specifies for how long a session shall be valid  as a string parsable by time.ParseDuration(). If 0 or empty, the session/token does not expire!\",\n      \"type\": \"string\"\n    },\n    \"https-cert-file\": {\n      \"description\": \"Filepath to SSL certificate. If also https-key-file is set use HTTPS using those certificates.\",\n      \"type\": \"string\"\n    },\n    \"https-key-file\": {\n      \"description\": \"Filepath to SSL key file. If also https-cert-file is set use HTTPS using those certificates.\",\n      \"type\": \"string\"\n    },\n    \"redirect-http-to\": {\n      \"description\": \"If not the empty string and addr does not end in :80, redirect every request incoming at port 80 to that url.\",\n      \"type\": \"string\"\n    },\n    \"stop-jobs-exceeding-walltime\": {\n      \"description\": \"If not zero, automatically mark jobs as stopped running X seconds longer than their walltime. Only applies if walltime is set for job.\",\n      \"type\": \"integer\"\n    },\n    \"short-running-jobs-duration\": {\n      \"description\": \"Do not show running jobs shorter than X seconds.\",\n      \"type\": \"integer\"\n    },\n    \"emission-constant\": {\n      \"description\": \"Energy mix CO2 emission constant [g/kWh]. If set, displays estimated CO2 emission for jobs.\",\n      \"type\": \"integer\"\n    },\n    \"machine-state-dir\": {\n      \"description\": \"Where to store MachineState files.\",\n      \"type\": \"string\"\n    },\n    \"systemd-unit\": {\n      \"description\": \"Systemd unit name for log viewer (default: 'clustercockpit').\",\n      \"type\": \"string\"\n    },\n    \"resampling\": {\n      \"description\": \"Enable dynamic zoom in frontend metric plots.\",\n      \"type\": \"object\",\n      \"properties\": {\n        \"minimum-points\": {\n          \"description\": \"Minimum points to trigger resampling of time-series data.\",\n          \"type\": \"integer\"\n        },\n        \"default-policy\": {\n          \"description\": \"Default resample policy when no user preference is set.\",\n          \"type\": \"string\",\n          \"enum\": [\"low\", \"medium\", \"high\"]\n        },\n        \"default-algo\": {\n          \"description\": \"Default resample algorithm when no user preference is set.\",\n          \"type\": \"string\",\n          \"enum\": [\"lttb\", \"average\", \"simple\"]\n        }\n      }\n    },\n    \"api-subjects\": {\n      \"description\": \"NATS subjects configuration for subscribing to job and node events.\",\n      \"type\": \"object\",\n      \"properties\": {\n        \"subject-job-event\": {\n          \"description\": \"NATS subject for job events (start_job, stop_job)\",\n          \"type\": \"string\"\n        },\n        \"subject-node-state\": {\n          \"description\": \"NATS subject for node state updates\",\n          \"type\": \"string\"\n        },\n        \"job-concurrency\": {\n          \"description\": \"Number of concurrent worker goroutines for processing job events (default: 8).\",\n          \"type\": \"integer\"\n        },\n        \"node-concurrency\": {\n          \"description\": \"Number of concurrent worker goroutines for processing node state events (default: 2).\",\n          \"type\": \"integer\"\n        }\n      },\n      \"required\": [\"subject-job-event\", \"subject-node-state\"]\n    },\n    \"nodestate-retention\": {\n      \"description\": \"Node state retention configuration for cleaning up old node_state rows.\",\n      \"type\": \"object\",\n      \"properties\": {\n        \"policy\": {\n          \"description\": \"Retention policy: 'delete' to remove old rows, 'move' to archive to Parquet then delete.\",\n          \"type\": \"string\",\n          \"enum\": [\"delete\", \"move\"]\n        },\n        \"age\": {\n          \"description\": \"Retention age in hours (default: 24).\",\n          \"type\": \"integer\"\n        },\n        \"target-kind\": {\n          \"description\": \"Target kind for parquet archiving: 'file' or 's3'.\",\n          \"type\": \"string\",\n          \"enum\": [\"file\", \"s3\"]\n        },\n        \"target-path\": {\n          \"description\": \"Filesystem path for parquet file target.\",\n          \"type\": \"string\"\n        },\n        \"target-endpoint\": {\n          \"description\": \"S3 endpoint URL.\",\n          \"type\": \"string\"\n        },\n        \"target-bucket\": {\n          \"description\": \"S3 bucket name.\",\n          \"type\": \"string\"\n        },\n        \"target-access-key\": {\n          \"description\": \"S3 access key.\",\n          \"type\": \"string\"\n        },\n        \"target-secret-key\": {\n          \"description\": \"S3 secret key.\",\n          \"type\": \"string\"\n        },\n        \"target-region\": {\n          \"description\": \"S3 region.\",\n          \"type\": \"string\"\n        },\n        \"target-use-path-style\": {\n          \"description\": \"Use path-style S3 addressing.\",\n          \"type\": \"boolean\"\n        },\n        \"max-file-size-mb\": {\n          \"description\": \"Maximum parquet file size in MB (default: 128).\",\n          \"type\": \"integer\"\n        }\n      },\n      \"required\": [\"policy\"]\n    },\n    \"db-config\": {\n      \"description\": \"SQLite database tuning configuration.\",\n      \"type\": \"object\",\n      \"properties\": {\n        \"cache-size-mb\": {\n          \"description\": \"SQLite page cache size per connection in MB (default: 2048).\",\n          \"type\": \"integer\"\n        },\n        \"soft-heap-limit-mb\": {\n          \"description\": \"Process-wide SQLite soft heap limit in MB (default: 16384).\",\n          \"type\": \"integer\"\n        },\n        \"max-open-connections\": {\n          \"description\": \"Maximum number of open database connections (default: 4).\",\n          \"type\": \"integer\"\n        },\n        \"max-idle-connections\": {\n          \"description\": \"Maximum number of idle database connections (default: 4).\",\n          \"type\": \"integer\"\n        },\n        \"max-idle-time-minutes\": {\n          \"description\": \"Maximum idle time for a connection in minutes (default: 10).\",\n          \"type\": \"integer\"\n        },\n        \"busy-timeout-ms\": {\n          \"description\": \"SQLite busy timeout in milliseconds. 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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package config implements the program configuration data structures, validation and parsing\npackage config\n\nimport (\n\t\"bytes\"\n\t\"encoding/json\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n)\n\ntype ProgramConfig struct {\n\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n\tAddr string `json:\"addr\"`\n\n\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n\n\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n\n\t// Drop root permissions once .env was read and the port was taken.\n\tUser  string `json:\"user\"`\n\tGroup string `json:\"group\"`\n\n\t// Disable authentication (for everything: API, Web-UI, ...)\n\tDisableAuthentication bool `json:\"disable-authentication\"`\n\n\t// If `embed-static-files` is true (default), the frontend files are directly\n\t// embeded into the go binary and expected to be in web/frontend. Only if\n\t// it is false the files in `static-files` are served instead.\n\tEmbedStaticFiles bool   `json:\"embed-static-files\"`\n\tStaticFiles      string `json:\"static-files\"`\n\n\t// Path to SQLite database file\n\tDB string `json:\"db\"`\n\n\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n\n\t// Validate json input against schema\n\tValidate bool `json:\"validate\"`\n\n\t// If 0 or empty, the session does not expire!\n\tSessionMaxAge string `json:\"session-max-age\"`\n\n\t// If both those options are not empty, use HTTPS using those certificates.\n\tHTTPSCertFile string `json:\"https-cert-file\"`\n\tHTTPSKeyFile  string `json:\"https-key-file\"`\n\n\t// If not the empty string and `addr` does not end in \":80\",\n\t// redirect every request incoming at port 80 to that url.\n\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n\n\t// Where to store MachineState files\n\tMachineStateDir string `json:\"machine-state-dir\"`\n\n\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n\n\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n\n\t// Energy Mix CO2 Emission Constant [g/kWh]\n\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n\tEmissionConstant int `json:\"emission-constant\"`\n\n\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n\tEnableResampling *ResampleConfig `json:\"resampling\"`\n\n\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n\tSystemdUnit string `json:\"systemd-unit\"`\n\n\t// Node state retention configuration\n\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n\n\t// Database tuning configuration\n\tDbConfig *DbConfig `json:\"db-config\"`\n}\n\ntype DbConfig struct {\n\tCacheSizeMB               int `json:\"cache-size-mb\"`\n\tSoftHeapLimitMB           int `json:\"soft-heap-limit-mb\"`\n\tMaxOpenConnections        int `json:\"max-open-connections\"`\n\tMaxIdleConnections        int `json:\"max-idle-connections\"`\n\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n\tBusyTimeoutMs             int `json:\"busy-timeout-ms\"`\n}\n\ntype NodeStateRetention struct {\n\tPolicy             string `json:\"policy\"`      // \"delete\" or \"move\"\n\tAge                int    `json:\"age\"`         // hours, default 24\n\tTargetKind         string `json:\"target-kind\"` // \"file\" or \"s3\"\n\tTargetPath         string `json:\"target-path\"`\n\tTargetEndpoint     string `json:\"target-endpoint\"`\n\tTargetBucket       string `json:\"target-bucket\"`\n\tTargetAccessKey    string `json:\"target-access-key\"`\n\tTargetSecretKey    string `json:\"target-secret-key\"`\n\tTargetRegion       string `json:\"target-region\"`\n\tTargetUsePathStyle bool   `json:\"target-use-path-style\"`\n\tMaxFileSizeMB      int    `json:\"max-file-size-mb\"`\n}\n\ntype ResampleConfig struct {\n\t// Minimum number of points to trigger resampling of data\n\tMinimumPoints int `json:\"minimum-points\"`\n\t// Default resample policy when no user preference is set (\"low\", \"medium\", \"high\")\n\tDefaultPolicy string `json:\"default-policy\"`\n\t// Default resample algorithm when no user preference is set (\"lttb\", \"average\", \"simple\")\n\tDefaultAlgo string `json:\"default-algo\"`\n\t// Policy-derived target point count (set dynamically from user preference, not from config.json)\n\tTargetPoints int `json:\"targetPoints,omitempty\"`\n}\n\ntype NATSConfig struct {\n\tSubjectJobEvent  string `json:\"subject-job-event\"`\n\tSubjectNodeState string `json:\"subject-node-state\"`\n\tJobConcurrency   int    `json:\"job-concurrency\"`\n\tNodeConcurrency  int    `json:\"node-concurrency\"`\n}\n\ntype IntRange struct {\n\tFrom int `json:\"from\"`\n\tTo   int `json:\"to\"`\n}\n\ntype TimeRange struct {\n\tFrom  *time.Time `json:\"from\"`\n\tTo    *time.Time `json:\"to\"`\n\tRange string     `json:\"range,omitempty\"`\n}\n\ntype FilterRanges struct {\n\tDuration  *IntRange  `json:\"duration\"`\n\tNumNodes  *IntRange  `json:\"num-nodes\"`\n\tStartTime *TimeRange `json:\"start-time\"`\n}\n\nvar Keys ProgramConfig = ProgramConfig{\n\tAddr:                      \"localhost:8080\",\n\tEmbedStaticFiles:          true,\n\tDB:                        \"./var/job.db\",\n\tSessionMaxAge:             \"168h\",\n\tStopJobsExceedingWalltime: 0,\n\tShortRunningJobsDuration:  5 * 60,\n}\n\nfunc Init(mainConfig json.RawMessage) {\n\tValidate(configSchema, mainConfig)\n\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&Keys); err != nil {\n\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n\t}\n\n\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n\t}\n}\n","structuredPatch":[{"oldStart":106,"oldLines":8,"newStart":106,"newLines":6,"lines":[" }"," "," type ResampleConfig struct {","-  // Minimum number of points to trigger resampling of data","-  MinimumPoints int `json:\"minimum-points\"`","   // Default resample policy when no user preference is set (\"low\", \"medium\", \"high\")","   DefaultPolicy string `json:\"default-policy\"`","   // Default resample algorithm when no user preference is set (\"lttb\", \"average\", \"simple\")"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"3d3c7521-f0f6-4b8c-8975-8a840cb323e1","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5d633205-ed07-498a-ac3d-82cfd0c72914","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"59c757f3-ded0-41e3-b34d-6d16b42670ad","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01KZrCLoayah74ksM9Djirpm","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0161rrnnpdJdZPRCUrVjiEWv","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go","old_string":"\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n\t}\n}","new_string":"\tif Keys.EnableResampling != nil {\n\t\tpolicy := Keys.EnableResampling.DefaultPolicy\n\t\tif policy == \"\" {\n\t\t\tpolicy = \"medium\"\n\t\t}\n\t\tresampler.SetMinimumRequiredPoints(targetPointsForPolicy(policy))\n\t}\n}\n\nfunc targetPointsForPolicy(policy string) int {\n\tswitch policy {\n\tcase \"low\":\n\t\treturn 200\n\tcase \"medium\":\n\t\treturn 500\n\tcase \"high\":\n\t\treturn 1000\n\tdefault:\n\t\treturn 500\n\t}\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":510,"cache_read_input_tokens":27170,"output_tokens":303,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":510,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDu2rMJSYvCyrTHLVkfL","type":"assistant","uuid":"093d2f09-c77d-40c8-8c89-a3a64d856f9a","timestamp":"2026-03-20T06:58:12.126Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5d633205-ed07-498a-ac3d-82cfd0c72914","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package config implements the program configuration data structures, validation and parsing\npackage config\n\nimport (\n\t\"bytes\"\n\t\"encoding/json\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n)\n\ntype ProgramConfig struct {\n\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n\tAddr string `json:\"addr\"`\n\n\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n\n\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n\n\t// Drop root permissions once .env was read and the port was taken.\n\tUser  string `json:\"user\"`\n\tGroup string `json:\"group\"`\n\n\t// Disable authentication (for everything: API, Web-UI, ...)\n\tDisableAuthentication bool `json:\"disable-authentication\"`\n\n\t// If `embed-static-files` is true (default), the frontend files are directly\n\t// embeded into the go binary and expected to be in web/frontend. Only if\n\t// it is false the files in `static-files` are served instead.\n\tEmbedStaticFiles bool   `json:\"embed-static-files\"`\n\tStaticFiles      string `json:\"static-files\"`\n\n\t// Path to SQLite database file\n\tDB string `json:\"db\"`\n\n\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n\n\t// Validate json input against schema\n\tValidate bool `json:\"validate\"`\n\n\t// If 0 or empty, the session does not expire!\n\tSessionMaxAge string `json:\"session-max-age\"`\n\n\t// If both those options are not empty, use HTTPS using those certificates.\n\tHTTPSCertFile string `json:\"https-cert-file\"`\n\tHTTPSKeyFile  string `json:\"https-key-file\"`\n\n\t// If not the empty string and `addr` does not end in \":80\",\n\t// redirect every request incoming at port 80 to that url.\n\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n\n\t// Where to store MachineState files\n\tMachineStateDir string `json:\"machine-state-dir\"`\n\n\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n\n\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n\n\t// Energy Mix CO2 Emission Constant [g/kWh]\n\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n\tEmissionConstant int `json:\"emission-constant\"`\n\n\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n\tEnableResampling *ResampleConfig `json:\"resampling\"`\n\n\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n\tSystemdUnit string `json:\"systemd-unit\"`\n\n\t// Node state retention configuration\n\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n\n\t// Database tuning configuration\n\tDbConfig *DbConfig `json:\"db-config\"`\n}\n\ntype DbConfig struct {\n\tCacheSizeMB               int `json:\"cache-size-mb\"`\n\tSoftHeapLimitMB           int `json:\"soft-heap-limit-mb\"`\n\tMaxOpenConnections        int `json:\"max-open-connections\"`\n\tMaxIdleConnections        int `json:\"max-idle-connections\"`\n\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n\tBusyTimeoutMs             int `json:\"busy-timeout-ms\"`\n}\n\ntype NodeStateRetention struct {\n\tPolicy             string `json:\"policy\"`      // \"delete\" or \"move\"\n\tAge                int    `json:\"age\"`         // hours, default 24\n\tTargetKind         string `json:\"target-kind\"` // \"file\" or \"s3\"\n\tTargetPath         string `json:\"target-path\"`\n\tTargetEndpoint     string `json:\"target-endpoint\"`\n\tTargetBucket       string `json:\"target-bucket\"`\n\tTargetAccessKey    string `json:\"target-access-key\"`\n\tTargetSecretKey    string `json:\"target-secret-key\"`\n\tTargetRegion       string `json:\"target-region\"`\n\tTargetUsePathStyle bool   `json:\"target-use-path-style\"`\n\tMaxFileSizeMB      int    `json:\"max-file-size-mb\"`\n}\n\ntype ResampleConfig struct {\n\t// Default resample policy when no user preference is set (\"low\", \"medium\", \"high\")\n\tDefaultPolicy string `json:\"default-policy\"`\n\t// Default resample algorithm when no user preference is set (\"lttb\", \"average\", \"simple\")\n\tDefaultAlgo string `json:\"default-algo\"`\n\t// Policy-derived target point count (set dynamically from user preference, not from config.json)\n\tTargetPoints int `json:\"targetPoints,omitempty\"`\n}\n\ntype NATSConfig struct {\n\tSubjectJobEvent  string `json:\"subject-job-event\"`\n\tSubjectNodeState string `json:\"subject-node-state\"`\n\tJobConcurrency   int    `json:\"job-concurrency\"`\n\tNodeConcurrency  int    `json:\"node-concurrency\"`\n}\n\ntype IntRange struct {\n\tFrom int `json:\"from\"`\n\tTo   int `json:\"to\"`\n}\n\ntype TimeRange struct {\n\tFrom  *time.Time `json:\"from\"`\n\tTo    *time.Time `json:\"to\"`\n\tRange string     `json:\"range,omitempty\"`\n}\n\ntype FilterRanges struct {\n\tDuration  *IntRange  `json:\"duration\"`\n\tNumNodes  *IntRange  `json:\"num-nodes\"`\n\tStartTime *TimeRange `json:\"start-time\"`\n}\n\nvar Keys ProgramConfig = ProgramConfig{\n\tAddr:                      \"localhost:8080\",\n\tEmbedStaticFiles:          true,\n\tDB:                        \"./var/job.db\",\n\tSessionMaxAge:             \"168h\",\n\tStopJobsExceedingWalltime: 0,\n\tShortRunningJobsDuration:  5 * 60,\n}\n\nfunc Init(mainConfig json.RawMessage) {\n\tValidate(configSchema, mainConfig)\n\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&Keys); err != nil {\n\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n\t}\n\n\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n\t}\n}\n","structuredPatch":[{"oldStart":155,"oldLines":7,"newStart":155,"newLines":24,"lines":["     cclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())","   }"," ","-  if Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {","-    resampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)","+  if Keys.EnableResampling != nil {","+    policy := Keys.EnableResampling.DefaultPolicy","+    if policy == \"\" {","+      policy = \"medium\"","+    }","+    resampler.SetMinimumRequiredPoints(targetPointsForPolicy(policy))","   }"," }","+","+func targetPointsForPolicy(policy string) int {","+  switch policy {","+  case \"low\":","+    return 200","+  case \"medium\":","+    return 500","+  case \"high\":","+    return 1000","+  default:","+    return 500","+  }","+}"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"093d2f09-c77d-40c8-8c89-a3a64d856f9a","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5d633205-ed07-498a-ac3d-82cfd0c72914","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"4268aa0b-fa8e-4b4e-8e13-35e51a9516ba","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WUpJzDdV8P9dfKc4xTj3gK","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me also check if `config.json` (root) has it and verify the build:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":245,"cache_read_input_tokens":28906,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":245},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDu42kf2Kga71nThYXPP","type":"assistant","uuid":"b11466e1-a0b8-4a1a-9812-f44569885911","timestamp":"2026-03-20T06:58:25.257Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5d633205-ed07-498a-ac3d-82cfd0c72914","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"b11466e1-a0b8-4a1a-9812-f44569885911","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WUpJzDdV8P9dfKc4xTj3gK","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MbHY13DW32hh8rCLzQaeUF","name":"Grep","input":{"pattern":"minimum-points"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":245,"cache_read_input_tokens":28906,"output_tokens":76,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":245,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDu42kf2Kga71nThYXPP","type":"assistant","uuid":"57e7e38b-9d18-4473-b2b2-8552dc7fbd02","timestamp":"2026-03-20T06:58:25.382Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5d633205-ed07-498a-ac3d-82cfd0c72914","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"57e7e38b-9d18-4473-b2b2-8552dc7fbd02","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01MbHY13DW32hh8rCLzQaeUF","toolUseID":"toolu_01MbHY13DW32hh8rCLzQaeUF","timestamp":"2026-03-20T06:58:25.422Z","uuid":"d24ae62c-c5d1-432a-954f-f23bf0437275","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5d633205-ed07-498a-ac3d-82cfd0c72914","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"57e7e38b-9d18-4473-b2b2-8552dc7fbd02","isSidechain":false,"promptId":"1822ac8b-6591-4977-8dec-79c4374fa5bd","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MbHY13DW32hh8rCLzQaeUF","type":"tool_result","content":"Found 2 files\nReleaseNotes.md\ncmd/cc-backend/init.go"}]},"uuid":"51f02bd5-945a-4458-b218-d9dc0840e32c","timestamp":"2026-03-20T06:58:25.422Z","toolUseResult":{"mode":"files_with_matches","filenames":["ReleaseNotes.md","cmd/cc-backend/init.go"],"numFiles":2},"sourceToolAssistantUUID":"57e7e38b-9d18-4473-b2b2-8552dc7fbd02","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5d633205-ed07-498a-ac3d-82cfd0c72914","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"bae4f3ba-457d-437d-9989-1c93f0413556","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01Qih6j873qM8gW1nwrcLHv8","toolUseID":"toolu_01Qih6j873qM8gW1nwrcLHv8","timestamp":"2026-03-20T06:58:28.100Z","uuid":"468be564-6a76-493d-ac8e-e2113e1dd4fc","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5d633205-ed07-498a-ac3d-82cfd0c72914","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"bae4f3ba-457d-437d-9989-1c93f0413556","isSidechain":false,"promptId":"1822ac8b-6591-4977-8dec-79c4374fa5bd","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Qih6j873qM8gW1nwrcLHv8","type":"tool_result","content":"34-    \"addr\": \"127.0.0.1:8080\",\n35-    \"short-running-jobs-duration\": 300,\n36-    \"resampling\": {\n37:      \"minimum-points\": 600,\n38-      \"trigger\": 300,\n39-      \"resolutions\": [\n40-        240,"}]},"uuid":"61a50e99-aa26-4358-a2a7-32cd68ae3279","timestamp":"2026-03-20T06:58:28.099Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"34-    \"addr\": \"127.0.0.1:8080\",\n35-    \"short-running-jobs-duration\": 300,\n36-    \"resampling\": {\n37:      \"minimum-points\": 600,\n38-      \"trigger\": 300,\n39-      \"resolutions\": [\n40-        240,","numLines":7},"sourceToolAssistantUUID":"bae4f3ba-457d-437d-9989-1c93f0413556","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5d633205-ed07-498a-ac3d-82cfd0c72914","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"61a50e99-aa26-4358-a2a7-32cd68ae3279","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_014Gsa6RdTkuujTMxuFLRJyk","type":"message","role":"assistant","content":[{"type":"text","text":"This is the embedded default config — it still has the old format. Let me see the full block:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":338,"cache_read_input_tokens":29151,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":338},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDu4QEyivhD6bxhs297g","type":"assistant","uuid":"0b6e76a8-9967-47bb-a5b0-f246860b065b","timestamp":"2026-03-20T06:58:30.478Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5d633205-ed07-498a-ac3d-82cfd0c72914","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"0b6e76a8-9967-47bb-a5b0-f246860b065b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_014Gsa6RdTkuujTMxuFLRJyk","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011XtFwQgW3SmekaLxR3MVhR","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/init.go","offset":30,"limit":30},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":338,"cache_read_input_tokens":29151,"output_tokens":135,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":338,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDu4QEyivhD6bxhs297g","type":"assistant","uuid":"55f15da5-c503-422d-9be5-9f528c2cba1c","timestamp":"2026-03-20T06:58:31.186Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5d633205-ed07-498a-ac3d-82cfd0c72914","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"55f15da5-c503-422d-9be5-9f528c2cba1c","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_011XtFwQgW3SmekaLxR3MVhR","toolUseID":"toolu_011XtFwQgW3SmekaLxR3MVhR","timestamp":"2026-03-20T06:58:31.198Z","uuid":"812869da-c47c-4b0a-a6ff-3633873d4c32","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5d633205-ed07-498a-ac3d-82cfd0c72914","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"55f15da5-c503-422d-9be5-9f528c2cba1c","isSidechain":false,"promptId":"1822ac8b-6591-4977-8dec-79c4374fa5bd","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011XtFwQgW3SmekaLxR3MVhR","type":"tool_result","content":"    30→\n    31→const configString = `\n    32→{\n    33→  \"main\": {\n    34→    \"addr\": \"127.0.0.1:8080\",\n    35→    \"short-running-jobs-duration\": 300,\n    36→    \"resampling\": {\n    37→      \"minimum-points\": 600,\n    38→      \"trigger\": 300,\n    39→      \"resolutions\": [\n    40→        240,\n    41→        60\n    42→      ]\n    43→    },\n    44→    \"api-allowed-ips\": [\n    45→      \"*\"\n    46→    ],\n    47→    \"emission-constant\": 317\n    48→  },\n    49→  \"cron\": {\n    50→    \"commit-job-worker\": \"1m\",\n    51→    \"duration-worker\": \"5m\",\n    52→    \"footprint-worker\": \"10m\"\n    53→  },\n    54→  \"archive\": {\n    55→    \"kind\": \"file\",\n    56→    \"path\": \"./var/job-archive\"\n    57→  },\n    58→  \"auth\": {\n    59→    \"jwts\": {"}]},"uuid":"397a1d3f-cd83-4755-b06c-c2ba247da06a","timestamp":"2026-03-20T06:58:31.198Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/init.go","content":"\nconst configString = `\n{\n  \"main\": {\n    \"addr\": \"127.0.0.1:8080\",\n    \"short-running-jobs-duration\": 300,\n    \"resampling\": {\n      \"minimum-points\": 600,\n      \"trigger\": 300,\n      \"resolutions\": [\n        240,\n        60\n      ]\n    },\n    \"api-allowed-ips\": [\n      \"*\"\n    ],\n    \"emission-constant\": 317\n  },\n  \"cron\": {\n    \"commit-job-worker\": \"1m\",\n    \"duration-worker\": \"5m\",\n    \"footprint-worker\": \"10m\"\n  },\n  \"archive\": {\n    \"kind\": \"file\",\n    \"path\": \"./var/job-archive\"\n  },\n  \"auth\": {\n    \"jwts\": {","numLines":30,"startLine":30,"totalLines":95}},"sourceToolAssistantUUID":"55f15da5-c503-422d-9be5-9f528c2cba1c","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5d633205-ed07-498a-ac3d-82cfd0c72914","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"397a1d3f-cd83-4755-b06c-c2ba247da06a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01ReAna5jMSX7tBjV9zAZjjh","type":"message","role":"assistant","content":[{"type":"text","text":"This embedded config still has the old `trigger`/`resolutions` fields too (from before the previous commit's changes). I need to update it to the new format:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":446,"cache_read_input_tokens":29489,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":446},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDu4e1xNWv8RH8bYJ3a4","type":"assistant","uuid":"ebe39b30-f8b4-40b3-ac73-55bc92cdb01f","timestamp":"2026-03-20T06:58:34.591Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5d633205-ed07-498a-ac3d-82cfd0c72914","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"type":"file-history-snapshot","messageId":"894688ff-a818-4fdb-b411-2be90df2f7dc","snapshot":{"messageId":"ab181f19-5821-43a1-b299-bf12bb7e5e03","trackedFileBackups":{"internal/config/config.go":{"backupFileName":"0a0005594bca2efa@v1","version":1,"backupTime":"2026-03-20T06:58:07.021Z"},"internal/config/schema.go":{"backupFileName":"f00eb5244c64e89a@v1","version":1,"backupTime":"2026-03-20T06:58:19.358Z"},"configs/config.json":{"backupFileName":"ffc48788801499b0@v1","version":1,"backupTime":"2026-03-20T06:58:23.079Z"},"cmd/cc-backend/init.go":{"backupFileName":"bdd9aa11a81fedc6@v1","version":1,"backupTime":"2026-03-20T06:58:35.740Z"}},"timestamp":"2026-03-20T06:57:51.744Z"},"isSnapshotUpdate":true}
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+{"parentUuid":"0c1dd892-6ea5-414a-a7aa-e24446d64658","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_015aRp3kyrZAxy8nd8QimcbS","type":"message","role":"assistant","content":[{"type":"text","text":"Build succeeds. Now run the tests:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":231,"cache_read_input_tokens":30228,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":231},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDu5eyXdrYoAwMXHa4Y5","type":"assistant","uuid":"132ecb33-4af3-4136-816e-dc52049bd055","timestamp":"2026-03-20T06:58:46.978Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5d633205-ed07-498a-ac3d-82cfd0c72914","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"0bfb0cd6-8a30-468f-9809-3e1974e65b53","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0119jYr1jmF9DWzQqHCrkhqh","type":"message","role":"assistant","content":[{"type":"text","text":"All done. Here's a summary of the changes:\n\n1. **`internal/config/config.go`** — Removed `MinimumPoints` field from `ResampleConfig`. Added `targetPointsForPolicy()` helper that maps policy strings to point counts (low=200, medium=500, high=1000). Updated `Init()` to derive minimum points from `DefaultPolicy` instead of reading a config value.\n\n2. **`internal/config/schema.go`** — Removed `minimum-points` property from the resampling JSON schema.\n\n3. **`configs/config.json`** — Removed `\"minimum-points\": 600` from the resampling block.\n\n4. **`cmd/cc-backend/init.go`** — Updated the embedded default config which still had the old `trigger`/`resolutions`/`minimum-points` format to use the new `default-policy`/`default-algo` format."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":186,"cache_read_input_tokens":30459,"output_tokens":217,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":186,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDu5wfsCJ7mdzG7SAS1H","type":"assistant","uuid":"a507115d-30e7-4c9c-940b-994eb73b5617","timestamp":"2026-03-20T06:58:54.954Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5d633205-ed07-498a-ac3d-82cfd0c72914","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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diff --git a/75/36f551d548/0/metadata.json b/75/36f551d548/0/metadata.json
new file mode 100644
index 00000000..9a9b3e47
--- /dev/null
+++ b/75/36f551d548/0/metadata.json
@@ -0,0 +1,43 @@
+{
+  "cli_version": "0.5.0",
+  "checkpoint_id": "7536f551d548",
+  "session_id": "5d633205-ed07-498a-ac3d-82cfd0c72914",
+  "strategy": "manual-commit",
+  "created_at": "2026-03-20T07:03:34.405941Z",
+  "branch": "feature/526-average-resample",
+  "checkpoints_count": 1,
+  "files_touched": [
+    "cmd/cc-backend/init.go",
+    "configs/config.json",
+    "go.mod",
+    "go.sum",
+    "internal/config/config.go",
+    "internal/config/schema.go",
+    "internal/graph/resample.go",
+    "internal/graph/schema.resolvers.go",
+    "internal/routerConfig/routes.go",
+    "web/frontend/src/config/AdminSettings.svelte",
+    "web/frontend/src/config/user/PlotRenderOptions.svelte"
+  ],
+  "agent": "Claude Code",
+  "turn_id": "60e4a7e0e8fb",
+  "token_usage": {
+    "input_tokens": 15,
+    "cache_creation_tokens": 22098,
+    "cache_read_tokens": 347503,
+    "output_tokens": 2542,
+    "api_call_count": 13
+  },
+  "session_metrics": {
+    "turn_count": 1
+  },
+  "initial_attribution": {
+    "calculated_at": "2026-03-20T07:03:34.358521Z",
+    "agent_lines": 138,
+    "human_added": 0,
+    "human_modified": 0,
+    "human_removed": 0,
+    "total_committed": 138,
+    "agent_percentage": 100
+  }
+}
diff --git a/75/36f551d548/1/content_hash.txt b/75/36f551d548/1/content_hash.txt
new file mode 100644
index 00000000..9d8a4486
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+++ b/75/36f551d548/1/content_hash.txt
@@ -0,0 +1 @@
+sha256:40dd50f844809053ebddb0c27824f00c030ce75618602bf822eb163c82765bc8
\ No newline at end of file
diff --git a/75/36f551d548/1/full.jsonl b/75/36f551d548/1/full.jsonl
new file mode 100644
index 00000000..691081ea
--- /dev/null
+++ b/75/36f551d548/1/full.jsonl
@@ -0,0 +1,140 @@
+{"type":"file-history-snapshot","messageId":"95b13fbc-d76f-4b33-9c91-2f54df4aa6e5","snapshot":{"messageId":"95b13fbc-d76f-4b33-9c91-2f54df4aa6e5","trackedFileBackups":{},"timestamp":"2026-03-20T06:24:39.753Z"},"isSnapshotUpdate":false}
+{"parentUuid":null,"isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"d2f679e1-4e5c-46b2-a83f-1bf37767f2c3","toolUseID":"d2f679e1-4e5c-46b2-a83f-1bf37767f2c3","timestamp":"2026-03-20T06:24:39.705Z","uuid":"7b5f5a16-4eea-4f5a-b736-e7a925866a8f","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"7b5f5a16-4eea-4f5a-b736-e7a925866a8f","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Replace file-based resampling config with policy-based approach\n\n## Context\n\nThe codebase has two resampling mechanisms:\n1. **Old (file-based)**: `config.json` defines explicit `resolutions` array and `trigger` count. The frontend uses these to pick from a fixed set of resolution steps on zoom.\n2. **New (policy-based)**: Users choose a policy (\"low\"/\"medium\"/\"high\") mapping to target point counts (200/500/1000). Resolution is computed dynamically from `duration / targetPoints`. This is already fully implemented in the GraphQL resolvers and frontend MetricPlot zoom logic.\n\nThe problem: `config.json` still uses the old `resolutions`+`trigger` schema, and falls back to it when no user policy is set. We should replace this with a default policy+algorithm in config, so the whole system is consistently policy-based.\n\n## Changes\n\n### 1. `internal/config/config.go` — Update `ResampleConfig` struct\n- Remove `Resolutions []int` and `Trigger int` fields\n- Add `DefaultPolicy string` (`json:\"default-policy\"`) — default resample policy (\"low\", \"medium\", \"high\")\n- Add `DefaultAlgo string` (`json:\"default-algo\"`) — default resample algorithm (\"lttb\", \"average\", \"simple\")\n- Keep `MinimumPoints int` — still useful for the resampler library\n- Keep `TargetPoints int` — used by policy-derived runtime config\n\n### 2. `internal/config/schema.go` — Update JSON schema\n- Replace `trigger`/`resolutions` required properties with `default-policy`\n- Add `default-policy` (string, enum: [\"low\",\"medium\",\"high\"]) and `default-algo` (string, enum: [\"lttb\",\"average\",\"simple\"]) properties\n- Remove `trigger` and `resolutions` properties\n- No required fields (presence of `\"resampling\": {}` is enough to enable it)\n\n### 3. `internal/routerConfig/routes.go` — Update `resamplingForUser()`\n- When falling back to globalCfg (no user policy set), use `globalCfg.DefaultPolicy` to compute `TargetPoints` and `Trigger` dynamically, same as the user-policy path\n- If `DefaultPolicy` is empty, use \"medium\" as default\n\n### 4. `internal/graph/schema.resolvers.go` — Update fallback resolution logic\n- In `JobMetrics()` and `NodeMetricsList()`: replace `slices.Max(config.Keys.EnableResampling.Resolutions)` fallback with policy-based computation using `config.Keys.EnableResampling.DefaultPolicy`\n- Use `TargetPointsForPolicy()` + `ComputeResolution()` instead of picking from a resolutions array\n- Also apply `DefaultAlgo` when no user algo preference is set\n\n### 5. `internal/graph/resample.go` — Update `resolveResampleAlgo()`\n- After checking user preference, fall back to `config.Keys.EnableResampling.DefaultAlgo` before returning \"\"\n\n### 6. `config.json` (local dev) — Update to new format\n```json\n\"resampling\": {\n  \"default-policy\": \"medium\",\n  \"default-algo\": \"lttb\"\n}\n```\n\n### 7. `configs/config.json` (example config) — Update to new format\nSame as above, keeping `minimum-points` if desired.\n\n### 8. Frontend: No changes needed\nThe frontend already handles both modes:\n- Policy-based: uses `targetPoints` to compute resolution dynamically\n- Array-based: uses `resolutions` array for fixed steps\n\nSince `resamplingForUser()` already returns a `ResampleConfig` with `TargetPoints`+`Trigger` (no `Resolutions`), the frontend will use the policy path.\n\n## Files to modify\n1. `internal/config/config.go` (struct + Init)\n2. `internal/config/schema.go` (JSON schema)\n3. `internal/routerConfig/routes.go` (`resamplingForUser`)\n4. `internal/graph/schema.resolvers.go` (resolver fallbacks)\n5. `internal/graph/resample.go` (`resolveResampleAlgo` fallback)\n6. `config.json` (local config)\n7. `configs/config.json` (example config)\n\n## Verification\n1. `go build ./...` — must compile\n2. `go test ./internal/metricdispatch/...` — resample policy tests pass\n3. `go test ./internal/config/...` — if config tests exist\n4. Start with `./cc-backend -server -dev` and verify `/config` page shows resampling options\n5. Verify metric plots on job pages still support zoom/resampling\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/f8d732b5-ee26-4579-bdeb-237fa0cb9261.jsonl"},"uuid":"95b13fbc-d76f-4b33-9c91-2f54df4aa6e5","timestamp":"2026-03-20T06:24:39.590Z","planContent":"# Replace file-based resampling config with policy-based approach\n\n## Context\n\nThe codebase has two resampling mechanisms:\n1. **Old (file-based)**: `config.json` defines explicit `resolutions` array and `trigger` count. The frontend uses these to pick from a fixed set of resolution steps on zoom.\n2. **New (policy-based)**: Users choose a policy (\"low\"/\"medium\"/\"high\") mapping to target point counts (200/500/1000). Resolution is computed dynamically from `duration / targetPoints`. This is already fully implemented in the GraphQL resolvers and frontend MetricPlot zoom logic.\n\nThe problem: `config.json` still uses the old `resolutions`+`trigger` schema, and falls back to it when no user policy is set. We should replace this with a default policy+algorithm in config, so the whole system is consistently policy-based.\n\n## Changes\n\n### 1. `internal/config/config.go` — Update `ResampleConfig` struct\n- Remove `Resolutions []int` and `Trigger int` fields\n- Add `DefaultPolicy string` (`json:\"default-policy\"`) — default resample policy (\"low\", \"medium\", \"high\")\n- Add `DefaultAlgo string` (`json:\"default-algo\"`) — default resample algorithm (\"lttb\", \"average\", \"simple\")\n- Keep `MinimumPoints int` — still useful for the resampler library\n- Keep `TargetPoints int` — used by policy-derived runtime config\n\n### 2. `internal/config/schema.go` — Update JSON schema\n- Replace `trigger`/`resolutions` required properties with `default-policy`\n- Add `default-policy` (string, enum: [\"low\",\"medium\",\"high\"]) and `default-algo` (string, enum: [\"lttb\",\"average\",\"simple\"]) properties\n- Remove `trigger` and `resolutions` properties\n- No required fields (presence of `\"resampling\": {}` is enough to enable it)\n\n### 3. `internal/routerConfig/routes.go` — Update `resamplingForUser()`\n- When falling back to globalCfg (no user policy set), use `globalCfg.DefaultPolicy` to compute `TargetPoints` and `Trigger` dynamically, same as the user-policy path\n- If `DefaultPolicy` is empty, use \"medium\" as default\n\n### 4. `internal/graph/schema.resolvers.go` — Update fallback resolution logic\n- In `JobMetrics()` and `NodeMetricsList()`: replace `slices.Max(config.Keys.EnableResampling.Resolutions)` fallback with policy-based computation using `config.Keys.EnableResampling.DefaultPolicy`\n- Use `TargetPointsForPolicy()` + `ComputeResolution()` instead of picking from a resolutions array\n- Also apply `DefaultAlgo` when no user algo preference is set\n\n### 5. `internal/graph/resample.go` — Update `resolveResampleAlgo()`\n- After checking user preference, fall back to `config.Keys.EnableResampling.DefaultAlgo` before returning \"\"\n\n### 6. `config.json` (local dev) — Update to new format\n```json\n\"resampling\": {\n  \"default-policy\": \"medium\",\n  \"default-algo\": \"lttb\"\n}\n```\n\n### 7. `configs/config.json` (example config) — Update to new format\nSame as above, keeping `minimum-points` if desired.\n\n### 8. Frontend: No changes needed\nThe frontend already handles both modes:\n- Policy-based: uses `targetPoints` to compute resolution dynamically\n- Array-based: uses `resolutions` array for fixed steps\n\nSince `resamplingForUser()` already returns a `ResampleConfig` with `TargetPoints`+`Trigger` (no `Resolutions`), the frontend will use the policy path.\n\n## Files to modify\n1. `internal/config/config.go` (struct + Init)\n2. `internal/config/schema.go` (JSON schema)\n3. `internal/routerConfig/routes.go` (`resamplingForUser`)\n4. `internal/graph/schema.resolvers.go` (resolver fallbacks)\n5. `internal/graph/resample.go` (`resolveResampleAlgo` fallback)\n6. `config.json` (local config)\n7. `configs/config.json` (example config)\n\n## Verification\n1. `go build ./...` — must compile\n2. `go test ./internal/metricdispatch/...` — resample policy tests pass\n3. `go test ./internal/config/...` — if config tests exist\n4. Start with `./cc-backend -server -dev` and verify `/config` page shows resampling options\n5. Verify metric plots on job pages still support zoom/resampling\n","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package config implements the program configuration data structures, validation and parsing\n     7→package config\n     8→\n     9→import (\n    10→\t\"bytes\"\n    11→\t\"encoding/json\"\n    12→\t\"time\"\n    13→\n    14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    15→\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n    16→)\n    17→\n    18→type ProgramConfig struct {\n    19→\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n    20→\tAddr string `json:\"addr\"`\n    21→\n    22→\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n    23→\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n    24→\n    25→\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n    26→\n    27→\t// Drop root permissions once .env was read and the port was taken.\n    28→\tUser  string `json:\"user\"`\n    29→\tGroup string `json:\"group\"`\n    30→\n    31→\t// Disable authentication (for everything: API, Web-UI, ...)\n    32→\tDisableAuthentication bool `json:\"disable-authentication\"`\n    33→\n    34→\t// If `embed-static-files` is true (default), the frontend files are directly\n    35→\t// embeded into the go binary and expected to be in web/frontend. Only if\n    36→\t// it is false the files in `static-files` are served instead.\n    37→\tEmbedStaticFiles bool   `json:\"embed-static-files\"`\n    38→\tStaticFiles      string `json:\"static-files\"`\n    39→\n    40→\t// Path to SQLite database file\n    41→\tDB string `json:\"db\"`\n    42→\n    43→\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n    44→\n    45→\t// Validate json input against schema\n    46→\tValidate bool `json:\"validate\"`\n    47→\n    48→\t// If 0 or empty, the session does not expire!\n    49→\tSessionMaxAge string `json:\"session-max-age\"`\n    50→\n    51→\t// If both those options are not empty, use HTTPS using those certificates.\n    52→\tHTTPSCertFile string `json:\"https-cert-file\"`\n    53→\tHTTPSKeyFile  string `json:\"https-key-file\"`\n    54→\n    55→\t// If not the empty string and `addr` does not end in \":80\",\n    56→\t// redirect every request incoming at port 80 to that url.\n    57→\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n    58→\n    59→\t// Where to store MachineState files\n    60→\tMachineStateDir string `json:\"machine-state-dir\"`\n    61→\n    62→\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n    63→\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n    64→\n    65→\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n    66→\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n    67→\n    68→\t// Energy Mix CO2 Emission Constant [g/kWh]\n    69→\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n    70→\tEmissionConstant int `json:\"emission-constant\"`\n    71→\n    72→\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n    73→\tEnableResampling *ResampleConfig `json:\"resampling\"`\n    74→\n    75→\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n    76→\tSystemdUnit string `json:\"systemd-unit\"`\n    77→\n    78→\t// Node state retention configuration\n    79→\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n    80→\n    81→\t// Database tuning configuration\n    82→\tDbConfig *DbConfig `json:\"db-config\"`\n    83→}\n    84→\n    85→type DbConfig struct {\n    86→\tCacheSizeMB               int `json:\"cache-size-mb\"`\n    87→\tSoftHeapLimitMB           int `json:\"soft-heap-limit-mb\"`\n    88→\tMaxOpenConnections        int `json:\"max-open-connections\"`\n    89→\tMaxIdleConnections        int `json:\"max-idle-connections\"`\n    90→\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n    91→\tBusyTimeoutMs             int `json:\"busy-timeout-ms\"`\n    92→}\n    93→\n    94→type NodeStateRetention struct {\n    95→\tPolicy             string `json:\"policy\"`      // \"delete\" or \"move\"\n    96→\tAge                int    `json:\"age\"`         // hours, default 24\n    97→\tTargetKind         string `json:\"target-kind\"` // \"file\" or \"s3\"\n    98→\tTargetPath         string `json:\"target-path\"`\n    99→\tTargetEndpoint     string `json:\"target-endpoint\"`\n   100→\tTargetBucket       string `json:\"target-bucket\"`\n   101→\tTargetAccessKey    string `json:\"target-access-key\"`\n   102→\tTargetSecretKey    string `json:\"target-secret-key\"`\n   103→\tTargetRegion       string `json:\"target-region\"`\n   104→\tTargetUsePathStyle bool   `json:\"target-use-path-style\"`\n   105→\tMaxFileSizeMB      int    `json:\"max-file-size-mb\"`\n   106→}\n   107→\n   108→type ResampleConfig struct {\n   109→\t// Minimum number of points to trigger resampling of data\n   110→\tMinimumPoints int `json:\"minimum-points\"`\n   111→\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n   112→\tResolutions []int `json:\"resolutions\"`\n   113→\t// Trigger next zoom level at less than this many visible datapoints\n   114→\tTrigger int `json:\"trigger\"`\n   115→\t// Policy-derived target point count (set dynamically from user preference, not from config.json)\n   116→\tTargetPoints int `json:\"targetPoints,omitempty\"`\n   117→}\n   118→\n   119→type NATSConfig struct {\n   120→\tSubjectJobEvent  string `json:\"subject-job-event\"`\n   121→\tSubjectNodeState string `json:\"subject-node-state\"`\n   122→\tJobConcurrency   int    `json:\"job-concurrency\"`\n   123→\tNodeConcurrency  int    `json:\"node-concurrency\"`\n   124→}\n   125→\n   126→type IntRange struct {\n   127→\tFrom int `json:\"from\"`\n   128→\tTo   int `json:\"to\"`\n   129→}\n   130→\n   131→type TimeRange struct {\n   132→\tFrom  *time.Time `json:\"from\"`\n   133→\tTo    *time.Time `json:\"to\"`\n   134→\tRange string     `json:\"range,omitempty\"`\n   135→}\n   136→\n   137→type FilterRanges struct {\n   138→\tDuration  *IntRange  `json:\"duration\"`\n   139→\tNumNodes  *IntRange  `json:\"num-nodes\"`\n   140→\tStartTime *TimeRange `json:\"start-time\"`\n   141→}\n   142→\n   143→var Keys ProgramConfig = ProgramConfig{\n   144→\tAddr:                      \"localhost:8080\",\n   145→\tEmbedStaticFiles:          true,\n   146→\tDB:                        \"./var/job.db\",\n   147→\tSessionMaxAge:             \"168h\",\n   148→\tStopJobsExceedingWalltime: 0,\n   149→\tShortRunningJobsDuration:  5 * 60,\n   150→}\n   151→\n   152→func Init(mainConfig json.RawMessage) {\n   153→\tValidate(configSchema, mainConfig)\n   154→\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n   155→\tdec.DisallowUnknownFields()\n   156→\tif err := dec.Decode(&Keys); err != nil {\n   157→\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n   158→\t}\n   159→\n   160→\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n   161→\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n   162→\t}\n   163→}\n   164→"}]},"uuid":"cffe34fa-11e6-43f7-a81c-23d09b3f3c11","timestamp":"2026-03-20T06:24:45.047Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package config implements the program configuration data structures, validation and parsing\npackage config\n\nimport (\n\t\"bytes\"\n\t\"encoding/json\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n)\n\ntype ProgramConfig struct {\n\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n\tAddr string `json:\"addr\"`\n\n\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n\n\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n\n\t// Drop root permissions once .env was read and the port was taken.\n\tUser  string `json:\"user\"`\n\tGroup string `json:\"group\"`\n\n\t// Disable authentication (for everything: API, Web-UI, ...)\n\tDisableAuthentication bool `json:\"disable-authentication\"`\n\n\t// If `embed-static-files` is true (default), the frontend files are directly\n\t// embeded into the go binary and expected to be in web/frontend. Only if\n\t// it is false the files in `static-files` are served instead.\n\tEmbedStaticFiles bool   `json:\"embed-static-files\"`\n\tStaticFiles      string `json:\"static-files\"`\n\n\t// Path to SQLite database file\n\tDB string `json:\"db\"`\n\n\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n\n\t// Validate json input against schema\n\tValidate bool `json:\"validate\"`\n\n\t// If 0 or empty, the session does not expire!\n\tSessionMaxAge string `json:\"session-max-age\"`\n\n\t// If both those options are not empty, use HTTPS using those certificates.\n\tHTTPSCertFile string `json:\"https-cert-file\"`\n\tHTTPSKeyFile  string `json:\"https-key-file\"`\n\n\t// If not the empty string and `addr` does not end in \":80\",\n\t// redirect every request incoming at port 80 to that url.\n\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n\n\t// Where to store MachineState files\n\tMachineStateDir string `json:\"machine-state-dir\"`\n\n\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n\n\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n\n\t// Energy Mix CO2 Emission Constant [g/kWh]\n\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n\tEmissionConstant int `json:\"emission-constant\"`\n\n\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n\tEnableResampling *ResampleConfig `json:\"resampling\"`\n\n\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n\tSystemdUnit string `json:\"systemd-unit\"`\n\n\t// Node state retention configuration\n\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n\n\t// Database tuning configuration\n\tDbConfig *DbConfig `json:\"db-config\"`\n}\n\ntype DbConfig struct {\n\tCacheSizeMB               int `json:\"cache-size-mb\"`\n\tSoftHeapLimitMB           int `json:\"soft-heap-limit-mb\"`\n\tMaxOpenConnections        int `json:\"max-open-connections\"`\n\tMaxIdleConnections        int `json:\"max-idle-connections\"`\n\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n\tBusyTimeoutMs             int `json:\"busy-timeout-ms\"`\n}\n\ntype NodeStateRetention struct {\n\tPolicy             string `json:\"policy\"`      // \"delete\" or \"move\"\n\tAge                int    `json:\"age\"`         // hours, default 24\n\tTargetKind         string `json:\"target-kind\"` // \"file\" or \"s3\"\n\tTargetPath         string `json:\"target-path\"`\n\tTargetEndpoint     string `json:\"target-endpoint\"`\n\tTargetBucket       string `json:\"target-bucket\"`\n\tTargetAccessKey    string `json:\"target-access-key\"`\n\tTargetSecretKey    string `json:\"target-secret-key\"`\n\tTargetRegion       string `json:\"target-region\"`\n\tTargetUsePathStyle bool   `json:\"target-use-path-style\"`\n\tMaxFileSizeMB      int    `json:\"max-file-size-mb\"`\n}\n\ntype ResampleConfig struct {\n\t// Minimum number of points to trigger resampling of data\n\tMinimumPoints int `json:\"minimum-points\"`\n\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n\tResolutions []int `json:\"resolutions\"`\n\t// Trigger next zoom level at less than this many visible datapoints\n\tTrigger int `json:\"trigger\"`\n\t// Policy-derived target point count (set dynamically from user preference, not from config.json)\n\tTargetPoints int `json:\"targetPoints,omitempty\"`\n}\n\ntype NATSConfig struct {\n\tSubjectJobEvent  string `json:\"subject-job-event\"`\n\tSubjectNodeState string `json:\"subject-node-state\"`\n\tJobConcurrency   int    `json:\"job-concurrency\"`\n\tNodeConcurrency  int    `json:\"node-concurrency\"`\n}\n\ntype IntRange struct {\n\tFrom int `json:\"from\"`\n\tTo   int `json:\"to\"`\n}\n\ntype TimeRange struct {\n\tFrom  *time.Time `json:\"from\"`\n\tTo    *time.Time `json:\"to\"`\n\tRange string     `json:\"range,omitempty\"`\n}\n\ntype FilterRanges struct {\n\tDuration  *IntRange  `json:\"duration\"`\n\tNumNodes  *IntRange  `json:\"num-nodes\"`\n\tStartTime *TimeRange `json:\"start-time\"`\n}\n\nvar Keys ProgramConfig = ProgramConfig{\n\tAddr:                      \"localhost:8080\",\n\tEmbedStaticFiles:          true,\n\tDB:                        \"./var/job.db\",\n\tSessionMaxAge:             \"168h\",\n\tStopJobsExceedingWalltime: 0,\n\tShortRunningJobsDuration:  5 * 60,\n}\n\nfunc Init(mainConfig json.RawMessage) {\n\tValidate(configSchema, mainConfig)\n\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&Keys); err != nil {\n\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n\t}\n\n\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n\t}\n}\n","numLines":164,"startLine":1,"totalLines":164}},"sourceToolAssistantUUID":"905c4b1e-31db-4723-a263-ec35acfc94d4","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"cffe34fa-11e6-43f7-a81c-23d09b3f3c11","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01GpzCNKKiKNtvBSqiULanTU","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WUM2rzmbh8h3Qt815qGEmB","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/schema.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":11557,"cache_read_input_tokens":8658,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":11557},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrUtgKpHP1RzGsvb1zU","type":"assistant","uuid":"d71b19d1-baaa-48b7-a3eb-3c097c1bdce1","timestamp":"2026-03-20T06:24:45.233Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"d71b19d1-baaa-48b7-a3eb-3c097c1bdce1","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01WUM2rzmbh8h3Qt815qGEmB","toolUseID":"toolu_01WUM2rzmbh8h3Qt815qGEmB","timestamp":"2026-03-20T06:24:45.237Z","uuid":"67ebdbbe-eb7f-4776-a502-2555e8ada4bc","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"d71b19d1-baaa-48b7-a3eb-3c097c1bdce1","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WUM2rzmbh8h3Qt815qGEmB","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package config\n     7→\n     8→var configSchema = `\n     9→{\n    10→  \"type\": \"object\",\n    11→  \"properties\": {\n    12→    \"addr\": {\n    13→      \"description\": \"Address where the http (or https) server will listen on (for example: 'localhost:80').\",\n    14→      \"type\": \"string\"\n    15→    },\n    16→    \"api-allowed-ips\": {\n    17→      \"description\": \"Addresses from which secured API endpoints can be reached\",\n    18→      \"type\": \"array\",\n    19→      \"items\": {\n    20→        \"type\": \"string\"\n    21→      }\n    22→    },\n    23→    \"user\": {\n    24→      \"description\": \"Drop root permissions once .env was read and the port was taken. Only applicable if using privileged port.\",\n    25→      \"type\": \"string\"\n    26→    },\n    27→    \"group\": {\n    28→      \"description\": \"Drop root permissions once .env was read and the port was taken. Only applicable if using privileged port.\",\n    29→      \"type\": \"string\"\n    30→    },\n    31→    \"disable-authentication\": {\n    32→      \"description\": \"Disable authentication (for everything: API, Web-UI, ...).\",\n    33→      \"type\": \"boolean\"\n    34→    },\n    35→    \"embed-static-files\": {\n    36→      \"description\": \"If all files in web/frontend/public should be served from within the binary itself (they are embedded) or not.\",\n    37→      \"type\": \"boolean\"\n    38→    },\n    39→    \"static-files\": {\n    40→      \"description\": \"Folder where static assets can be found, if embed-static-files is false.\",\n    41→      \"type\": \"string\"\n    42→    },\n    43→    \"db\": {\n    44→      \"description\": \"Path to SQLite database file (e.g., './var/job.db')\",\n    45→      \"type\": \"string\"\n    46→    },\n    47→    \"enable-job-taggers\": {\n    48→      \"description\": \"Turn on automatic application and jobclass taggers\",\n    49→      \"type\": \"boolean\"\n    50→    },\n    51→    \"validate\": {\n    52→      \"description\": \"Validate all input json documents against json schema.\",\n    53→      \"type\": \"boolean\"\n    54→    },\n    55→    \"session-max-age\": {\n    56→      \"description\": \"Specifies for how long a session shall be valid  as a string parsable by time.ParseDuration(). If 0 or empty, the session/token does not expire!\",\n    57→      \"type\": \"string\"\n    58→    },\n    59→    \"https-cert-file\": {\n    60→      \"description\": \"Filepath to SSL certificate. If also https-key-file is set use HTTPS using those certificates.\",\n    61→      \"type\": \"string\"\n    62→    },\n    63→    \"https-key-file\": {\n    64→      \"description\": \"Filepath to SSL key file. If also https-cert-file is set use HTTPS using those certificates.\",\n    65→      \"type\": \"string\"\n    66→    },\n    67→    \"redirect-http-to\": {\n    68→      \"description\": \"If not the empty string and addr does not end in :80, redirect every request incoming at port 80 to that url.\",\n    69→      \"type\": \"string\"\n    70→    },\n    71→    \"stop-jobs-exceeding-walltime\": {\n    72→      \"description\": \"If not zero, automatically mark jobs as stopped running X seconds longer than their walltime. Only applies if walltime is set for job.\",\n    73→      \"type\": \"integer\"\n    74→    },\n    75→    \"short-running-jobs-duration\": {\n    76→      \"description\": \"Do not show running jobs shorter than X seconds.\",\n    77→      \"type\": \"integer\"\n    78→    },\n    79→    \"emission-constant\": {\n    80→      \"description\": \"Energy mix CO2 emission constant [g/kWh]. If set, displays estimated CO2 emission for jobs.\",\n    81→      \"type\": \"integer\"\n    82→    },\n    83→    \"machine-state-dir\": {\n    84→      \"description\": \"Where to store MachineState files.\",\n    85→      \"type\": \"string\"\n    86→    },\n    87→    \"systemd-unit\": {\n    88→      \"description\": \"Systemd unit name for log viewer (default: 'clustercockpit').\",\n    89→      \"type\": \"string\"\n    90→    },\n    91→    \"resampling\": {\n    92→      \"description\": \"Enable dynamic zoom in frontend metric plots.\",\n    93→      \"type\": \"object\",\n    94→      \"properties\": {\n    95→        \"minimum-points\": {\n    96→          \"description\": \"Minimum points to trigger resampling of time-series data.\",\n    97→          \"type\": \"integer\"\n    98→        },\n    99→        \"trigger\": {\n   100→          \"description\": \"Trigger next zoom level at less than this many visible datapoints.\",\n   101→          \"type\": \"integer\"\n   102→        },\n   103→        \"resolutions\": {\n   104→          \"description\": \"Array of resampling target resolutions, in seconds.\",\n   105→          \"type\": \"array\",\n   106→          \"items\": {\n   107→            \"type\": \"integer\"\n   108→          }\n   109→        }\n   110→      },\n   111→      \"required\": [\"trigger\", \"resolutions\"]\n   112→    },\n   113→    \"api-subjects\": {\n   114→      \"description\": \"NATS subjects configuration for subscribing to job and node events.\",\n   115→      \"type\": \"object\",\n   116→      \"properties\": {\n   117→        \"subject-job-event\": {\n   118→          \"description\": \"NATS subject for job events (start_job, stop_job)\",\n   119→          \"type\": \"string\"\n   120→        },\n   121→        \"subject-node-state\": {\n   122→          \"description\": \"NATS subject for node state updates\",\n   123→          \"type\": \"string\"\n   124→        },\n   125→        \"job-concurrency\": {\n   126→          \"description\": \"Number of concurrent worker goroutines for processing job events (default: 8).\",\n   127→          \"type\": \"integer\"\n   128→        },\n   129→        \"node-concurrency\": {\n   130→          \"description\": \"Number of concurrent worker goroutines for processing node state events (default: 2).\",\n   131→          \"type\": \"integer\"\n   132→        }\n   133→      },\n   134→      \"required\": [\"subject-job-event\", \"subject-node-state\"]\n   135→    },\n   136→    \"nodestate-retention\": {\n   137→      \"description\": \"Node state retention configuration for cleaning up old node_state rows.\",\n   138→      \"type\": \"object\",\n   139→      \"properties\": {\n   140→        \"policy\": {\n   141→          \"description\": \"Retention policy: 'delete' to remove old rows, 'move' to archive to Parquet then delete.\",\n   142→          \"type\": \"string\",\n   143→          \"enum\": [\"delete\", \"move\"]\n   144→        },\n   145→        \"age\": {\n   146→          \"description\": \"Retention age in hours (default: 24).\",\n   147→          \"type\": \"integer\"\n   148→        },\n   149→        \"target-kind\": {\n   150→          \"description\": \"Target kind for parquet archiving: 'file' or 's3'.\",\n   151→          \"type\": \"string\",\n   152→          \"enum\": [\"file\", \"s3\"]\n   153→        },\n   154→        \"target-path\": {\n   155→          \"description\": \"Filesystem path for parquet file target.\",\n   156→          \"type\": \"string\"\n   157→        },\n   158→        \"target-endpoint\": {\n   159→          \"description\": \"S3 endpoint URL.\",\n   160→          \"type\": \"string\"\n   161→        },\n   162→        \"target-bucket\": {\n   163→          \"description\": \"S3 bucket name.\",\n   164→          \"type\": \"string\"\n   165→        },\n   166→        \"target-access-key\": {\n   167→          \"description\": \"S3 access key.\",\n   168→          \"type\": \"string\"\n   169→        },\n   170→        \"target-secret-key\": {\n   171→          \"description\": \"S3 secret key.\",\n   172→          \"type\": \"string\"\n   173→        },\n   174→        \"target-region\": {\n   175→          \"description\": \"S3 region.\",\n   176→          \"type\": \"string\"\n   177→        },\n   178→        \"target-use-path-style\": {\n   179→          \"description\": \"Use path-style S3 addressing.\",\n   180→          \"type\": \"boolean\"\n   181→        },\n   182→        \"max-file-size-mb\": {\n   183→          \"description\": \"Maximum parquet file size in MB (default: 128).\",\n   184→          \"type\": \"integer\"\n   185→        }\n   186→      },\n   187→      \"required\": [\"policy\"]\n   188→    },\n   189→    \"db-config\": {\n   190→      \"description\": \"SQLite database tuning configuration.\",\n   191→      \"type\": \"object\",\n   192→      \"properties\": {\n   193→        \"cache-size-mb\": {\n   194→          \"description\": \"SQLite page cache size per connection in MB (default: 2048).\",\n   195→          \"type\": \"integer\"\n   196→        },\n   197→        \"soft-heap-limit-mb\": {\n   198→          \"description\": \"Process-wide SQLite soft heap limit in MB (default: 16384).\",\n   199→          \"type\": \"integer\"\n   200→        },\n   201→        \"max-open-connections\": {\n   202→          \"description\": \"Maximum number of open database connections (default: 4).\",\n   203→          \"type\": \"integer\"\n   204→        },\n   205→        \"max-idle-connections\": {\n   206→          \"description\": \"Maximum number of idle database connections (default: 4).\",\n   207→          \"type\": \"integer\"\n   208→        },\n   209→        \"max-idle-time-minutes\": {\n   210→          \"description\": \"Maximum idle time for a connection in minutes (default: 10).\",\n   211→          \"type\": \"integer\"\n   212→        },\n   213→        \"busy-timeout-ms\": {\n   214→          \"description\": \"SQLite busy timeout in milliseconds. When a write is blocked, SQLite retries with backoff for up to this duration before returning SQLITE_BUSY (default: 60000).\",\n   215→          \"type\": \"integer\"\n   216→        }\n   217→      }\n   218→    }\n   219→  }\n   220→}`\n   221→"}]},"uuid":"152f592e-06fc-4996-991b-02401c65edae","timestamp":"2026-03-20T06:24:45.236Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/schema.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage config\n\nvar configSchema = `\n{\n  \"type\": \"object\",\n  \"properties\": {\n    \"addr\": {\n      \"description\": \"Address where the http (or https) server will listen on (for example: 'localhost:80').\",\n      \"type\": \"string\"\n    },\n    \"api-allowed-ips\": {\n      \"description\": \"Addresses from which secured API endpoints can be reached\",\n      \"type\": \"array\",\n      \"items\": {\n        \"type\": \"string\"\n      }\n    },\n    \"user\": {\n      \"description\": \"Drop root permissions once .env was read and the port was taken. Only applicable if using privileged port.\",\n      \"type\": \"string\"\n    },\n    \"group\": {\n      \"description\": \"Drop root permissions once .env was read and the port was taken. Only applicable if using privileged port.\",\n      \"type\": \"string\"\n    },\n    \"disable-authentication\": {\n      \"description\": \"Disable authentication (for everything: API, Web-UI, ...).\",\n      \"type\": \"boolean\"\n    },\n    \"embed-static-files\": {\n      \"description\": \"If all files in web/frontend/public should be served from within the binary itself (they are embedded) or not.\",\n      \"type\": \"boolean\"\n    },\n    \"static-files\": {\n      \"description\": \"Folder where static assets can be found, if embed-static-files is false.\",\n      \"type\": \"string\"\n    },\n    \"db\": {\n      \"description\": \"Path to SQLite database file (e.g., './var/job.db')\",\n      \"type\": \"string\"\n    },\n    \"enable-job-taggers\": {\n      \"description\": \"Turn on automatic application and jobclass taggers\",\n      \"type\": \"boolean\"\n    },\n    \"validate\": {\n      \"description\": \"Validate all input json documents against json schema.\",\n      \"type\": \"boolean\"\n    },\n    \"session-max-age\": {\n      \"description\": \"Specifies for how long a session shall be valid  as a string parsable by time.ParseDuration(). If 0 or empty, the session/token does not expire!\",\n      \"type\": \"string\"\n    },\n    \"https-cert-file\": {\n      \"description\": \"Filepath to SSL certificate. If also https-key-file is set use HTTPS using those certificates.\",\n      \"type\": \"string\"\n    },\n    \"https-key-file\": {\n      \"description\": \"Filepath to SSL key file. If also https-cert-file is set use HTTPS using those certificates.\",\n      \"type\": \"string\"\n    },\n    \"redirect-http-to\": {\n      \"description\": \"If not the empty string and addr does not end in :80, redirect every request incoming at port 80 to that url.\",\n      \"type\": \"string\"\n    },\n    \"stop-jobs-exceeding-walltime\": {\n      \"description\": \"If not zero, automatically mark jobs as stopped running X seconds longer than their walltime. Only applies if walltime is set for job.\",\n      \"type\": \"integer\"\n    },\n    \"short-running-jobs-duration\": {\n      \"description\": \"Do not show running jobs shorter than X seconds.\",\n      \"type\": \"integer\"\n    },\n    \"emission-constant\": {\n      \"description\": \"Energy mix CO2 emission constant [g/kWh]. If set, displays estimated CO2 emission for jobs.\",\n      \"type\": \"integer\"\n    },\n    \"machine-state-dir\": {\n      \"description\": \"Where to store MachineState files.\",\n      \"type\": \"string\"\n    },\n    \"systemd-unit\": {\n      \"description\": \"Systemd unit name for log viewer (default: 'clustercockpit').\",\n      \"type\": \"string\"\n    },\n    \"resampling\": {\n      \"description\": \"Enable dynamic zoom in frontend metric plots.\",\n      \"type\": \"object\",\n      \"properties\": {\n        \"minimum-points\": {\n          \"description\": \"Minimum points to trigger resampling of time-series data.\",\n          \"type\": \"integer\"\n        },\n        \"trigger\": {\n          \"description\": \"Trigger next zoom level at less than this many visible datapoints.\",\n          \"type\": \"integer\"\n        },\n        \"resolutions\": {\n          \"description\": \"Array of resampling target resolutions, in seconds.\",\n          \"type\": \"array\",\n          \"items\": {\n            \"type\": \"integer\"\n          }\n        }\n      },\n      \"required\": [\"trigger\", \"resolutions\"]\n    },\n    \"api-subjects\": {\n      \"description\": \"NATS subjects configuration for subscribing to job and node events.\",\n      \"type\": \"object\",\n      \"properties\": {\n        \"subject-job-event\": {\n          \"description\": \"NATS subject for job events (start_job, stop_job)\",\n          \"type\": \"string\"\n        },\n        \"subject-node-state\": {\n          \"description\": \"NATS subject for node state updates\",\n          \"type\": \"string\"\n        },\n        \"job-concurrency\": {\n          \"description\": \"Number of concurrent worker goroutines for processing job events (default: 8).\",\n          \"type\": \"integer\"\n        },\n        \"node-concurrency\": {\n          \"description\": \"Number of concurrent worker goroutines for processing node state events (default: 2).\",\n          \"type\": \"integer\"\n        }\n      },\n      \"required\": [\"subject-job-event\", \"subject-node-state\"]\n    },\n    \"nodestate-retention\": {\n      \"description\": \"Node state retention configuration for cleaning up old node_state rows.\",\n      \"type\": \"object\",\n      \"properties\": {\n        \"policy\": {\n          \"description\": \"Retention policy: 'delete' to remove old rows, 'move' to archive to Parquet then delete.\",\n          \"type\": \"string\",\n          \"enum\": [\"delete\", \"move\"]\n        },\n        \"age\": {\n          \"description\": \"Retention age in hours (default: 24).\",\n          \"type\": \"integer\"\n        },\n        \"target-kind\": {\n          \"description\": \"Target kind for parquet archiving: 'file' or 's3'.\",\n          \"type\": \"string\",\n          \"enum\": [\"file\", \"s3\"]\n        },\n        \"target-path\": {\n          \"description\": \"Filesystem path for parquet file target.\",\n          \"type\": \"string\"\n        },\n        \"target-endpoint\": {\n          \"description\": \"S3 endpoint URL.\",\n          \"type\": \"string\"\n        },\n        \"target-bucket\": {\n          \"description\": \"S3 bucket name.\",\n          \"type\": \"string\"\n        },\n        \"target-access-key\": {\n          \"description\": \"S3 access key.\",\n          \"type\": \"string\"\n        },\n        \"target-secret-key\": {\n          \"description\": \"S3 secret key.\",\n          \"type\": \"string\"\n        },\n        \"target-region\": {\n          \"description\": \"S3 region.\",\n          \"type\": \"string\"\n        },\n        \"target-use-path-style\": {\n          \"description\": \"Use path-style S3 addressing.\",\n          \"type\": \"boolean\"\n        },\n        \"max-file-size-mb\": {\n          \"description\": \"Maximum parquet file size in MB (default: 128).\",\n          \"type\": \"integer\"\n        }\n      },\n      \"required\": [\"policy\"]\n    },\n    \"db-config\": {\n      \"description\": \"SQLite database tuning configuration.\",\n      \"type\": \"object\",\n      \"properties\": {\n        \"cache-size-mb\": {\n          \"description\": \"SQLite page cache size per connection in MB (default: 2048).\",\n          \"type\": \"integer\"\n        },\n        \"soft-heap-limit-mb\": {\n          \"description\": \"Process-wide SQLite soft heap limit in MB (default: 16384).\",\n          \"type\": \"integer\"\n        },\n        \"max-open-connections\": {\n          \"description\": \"Maximum number of open database connections (default: 4).\",\n          \"type\": \"integer\"\n        },\n        \"max-idle-connections\": {\n          \"description\": \"Maximum number of idle database connections (default: 4).\",\n          \"type\": \"integer\"\n        },\n        \"max-idle-time-minutes\": {\n          \"description\": \"Maximum idle time for a connection in minutes (default: 10).\",\n          \"type\": \"integer\"\n        },\n        \"busy-timeout-ms\": {\n          \"description\": \"SQLite busy timeout in milliseconds. When a write is blocked, SQLite retries with backoff for up to this duration before returning SQLITE_BUSY (default: 60000).\",\n          \"type\": \"integer\"\n        }\n      }\n    }\n  }\n}`\n","numLines":221,"startLine":1,"totalLines":221}},"sourceToolAssistantUUID":"d71b19d1-baaa-48b7-a3eb-3c097c1bdce1","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"152f592e-06fc-4996-991b-02401c65edae","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01GpzCNKKiKNtvBSqiULanTU","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JNiJBQSu2ebBkJTiU82C15","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/routerConfig/routes.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":11557,"cache_read_input_tokens":8658,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":11557},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrUtgKpHP1RzGsvb1zU","type":"assistant","uuid":"a536e984-17c9-4cb2-aa55-f4ad71147e33","timestamp":"2026-03-20T06:24:45.369Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"a536e984-17c9-4cb2-aa55-f4ad71147e33","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01GpzCNKKiKNtvBSqiULanTU","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JWpYAB1bdxEUpz5pY4LwEF","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/resample.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":11557,"cache_read_input_tokens":8658,"output_tokens":305,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":11557,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDrUtgKpHP1RzGsvb1zU","type":"assistant","uuid":"877b8095-0d89-42aa-b5dc-65cd1733d149","timestamp":"2026-03-20T06:24:45.506Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"877b8095-0d89-42aa-b5dc-65cd1733d149","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01JWpYAB1bdxEUpz5pY4LwEF","toolUseID":"toolu_01JWpYAB1bdxEUpz5pY4LwEF","timestamp":"2026-03-20T06:24:45.509Z","uuid":"ec3fd090-d4f9-411a-b8ba-2b5cb884af24","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"877b8095-0d89-42aa-b5dc-65cd1733d149","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JWpYAB1bdxEUpz5pY4LwEF","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package graph\n     6→\n     7→import (\n     8→\t\"context\"\n     9→\t\"strings\"\n    10→\n    11→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    12→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    13→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    14→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    15→)\n    16→\n    17→// resolveResolutionFromPolicy reads the user's resample policy preference and\n    18→// computes a resolution based on job duration and metric frequency. Returns nil\n    19→// if the user has no policy set.\n    20→func resolveResolutionFromPolicy(ctx context.Context, duration int64, cluster string, metrics []string) *int {\n    21→\tuser := repository.GetUserFromContext(ctx)\n    22→\tif user == nil {\n    23→\t\treturn nil\n    24→\t}\n    25→\n    26→\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n    27→\tif err != nil {\n    28→\t\treturn nil\n    29→\t}\n    30→\n    31→\tpolicyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]\n    32→\tif !ok {\n    33→\t\treturn nil\n    34→\t}\n    35→\tpolicyStr, ok := policyVal.(string)\n    36→\tif !ok || policyStr == \"\" {\n    37→\t\treturn nil\n    38→\t}\n    39→\n    40→\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n    41→\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n    42→\tif targetPoints == 0 {\n    43→\t\treturn nil\n    44→\t}\n    45→\n    46→\t// Find the smallest metric frequency across the requested metrics\n    47→\tfrequency := smallestFrequency(cluster, metrics)\n    48→\tif frequency <= 0 {\n    49→\t\treturn nil\n    50→\t}\n    51→\n    52→\tres := metricdispatch.ComputeResolution(duration, int64(frequency), targetPoints)\n    53→\treturn &res\n    54→}\n    55→\n    56→// resolveResampleAlgo returns the resampling algorithm name to use, checking\n    57→// the explicit GraphQL parameter first, then the user's preference.\n    58→func resolveResampleAlgo(ctx context.Context, resampleAlgo *model.ResampleAlgo) string {\n    59→\tif resampleAlgo != nil {\n    60→\t\treturn strings.ToLower(resampleAlgo.String())\n    61→\t}\n    62→\n    63→\tuser := repository.GetUserFromContext(ctx)\n    64→\tif user == nil {\n    65→\t\treturn \"\"\n    66→\t}\n    67→\n    68→\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n    69→\tif err != nil {\n    70→\t\treturn \"\"\n    71→\t}\n    72→\n    73→\talgoVal, ok := conf[\"plotConfiguration_resampleAlgo\"]\n    74→\tif !ok {\n    75→\t\treturn \"\"\n    76→\t}\n    77→\talgoStr, ok := algoVal.(string)\n    78→\tif !ok {\n    79→\t\treturn \"\"\n    80→\t}\n    81→\n    82→\treturn algoStr\n    83→}\n    84→\n    85→// smallestFrequency returns the smallest metric timestep (in seconds) among the\n    86→// requested metrics for the given cluster. Falls back to 0 if nothing is found.\n    87→func smallestFrequency(cluster string, metrics []string) int {\n    88→\tcl := archive.GetCluster(cluster)\n    89→\tif cl == nil {\n    90→\t\treturn 0\n    91→\t}\n    92→\n    93→\tminFreq := 0\n    94→\tfor _, mc := range cl.MetricConfig {\n    95→\t\tif len(metrics) > 0 {\n    96→\t\t\tfound := false\n    97→\t\t\tfor _, m := range metrics {\n    98→\t\t\t\tif mc.Name == m {\n    99→\t\t\t\t\tfound = true\n   100→\t\t\t\t\tbreak\n   101→\t\t\t\t}\n   102→\t\t\t}\n   103→\t\t\tif !found {\n   104→\t\t\t\tcontinue\n   105→\t\t\t}\n   106→\t\t}\n   107→\t\tif minFreq == 0 || mc.Timestep < minFreq {\n   108→\t\t\tminFreq = mc.Timestep\n   109→\t\t}\n   110→\t}\n   111→\n   112→\treturn minFreq\n   113→}\n   114→"}]},"uuid":"fa488e99-a917-49e3-a9ff-14121b1aed76","timestamp":"2026-03-20T06:24:45.509Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/resample.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage graph\n\nimport (\n\t\"context\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n)\n\n// resolveResolutionFromPolicy reads the user's resample policy preference and\n// computes a resolution based on job duration and metric frequency. Returns nil\n// if the user has no policy set.\nfunc resolveResolutionFromPolicy(ctx context.Context, duration int64, cluster string, metrics []string) *int {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil\n\t}\n\n\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n\tif err != nil {\n\t\treturn nil\n\t}\n\n\tpolicyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]\n\tif !ok {\n\t\treturn nil\n\t}\n\tpolicyStr, ok := policyVal.(string)\n\tif !ok || policyStr == \"\" {\n\t\treturn nil\n\t}\n\n\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n\tif targetPoints == 0 {\n\t\treturn nil\n\t}\n\n\t// Find the smallest metric frequency across the requested metrics\n\tfrequency := smallestFrequency(cluster, metrics)\n\tif frequency <= 0 {\n\t\treturn nil\n\t}\n\n\tres := metricdispatch.ComputeResolution(duration, int64(frequency), targetPoints)\n\treturn &res\n}\n\n// resolveResampleAlgo returns the resampling algorithm name to use, checking\n// the explicit GraphQL parameter first, then the user's preference.\nfunc resolveResampleAlgo(ctx context.Context, resampleAlgo *model.ResampleAlgo) string {\n\tif resampleAlgo != nil {\n\t\treturn strings.ToLower(resampleAlgo.String())\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn \"\"\n\t}\n\n\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n\tif err != nil {\n\t\treturn \"\"\n\t}\n\n\talgoVal, ok := conf[\"plotConfiguration_resampleAlgo\"]\n\tif !ok {\n\t\treturn \"\"\n\t}\n\talgoStr, ok := algoVal.(string)\n\tif !ok {\n\t\treturn \"\"\n\t}\n\n\treturn algoStr\n}\n\n// smallestFrequency returns the smallest metric timestep (in seconds) among the\n// requested metrics for the given cluster. Falls back to 0 if nothing is found.\nfunc smallestFrequency(cluster string, metrics []string) int {\n\tcl := archive.GetCluster(cluster)\n\tif cl == nil {\n\t\treturn 0\n\t}\n\n\tminFreq := 0\n\tfor _, mc := range cl.MetricConfig {\n\t\tif len(metrics) > 0 {\n\t\t\tfound := false\n\t\t\tfor _, m := range metrics {\n\t\t\t\tif mc.Name == m {\n\t\t\t\t\tfound = true\n\t\t\t\t\tbreak\n\t\t\t\t}\n\t\t\t}\n\t\t\tif !found {\n\t\t\t\tcontinue\n\t\t\t}\n\t\t}\n\t\tif minFreq == 0 || mc.Timestep < minFreq {\n\t\t\tminFreq = mc.Timestep\n\t\t}\n\t}\n\n\treturn minFreq\n}\n","numLines":114,"startLine":1,"totalLines":114}},"sourceToolAssistantUUID":"877b8095-0d89-42aa-b5dc-65cd1733d149","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"fa488e99-a917-49e3-a9ff-14121b1aed76","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01JNiJBQSu2ebBkJTiU82C15","toolUseID":"toolu_01JNiJBQSu2ebBkJTiU82C15","timestamp":"2026-03-20T06:24:45.569Z","uuid":"b3efc71d-9e83-4cd9-b6a8-261920fbf9bc","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"a536e984-17c9-4cb2-aa55-f4ad71147e33","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JNiJBQSu2ebBkJTiU82C15","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package routerConfig\n     6→\n     7→import (\n     8→\t\"fmt\"\n     9→\t\"net/http\"\n    10→\t\"net/url\"\n    11→\t\"os\"\n    12→\t\"strconv\"\n    13→\t\"strings\"\n    14→\t\"time\"\n    15→\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    19→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    20→\t\"github.com/ClusterCockpit/cc-backend/web\"\n    21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    23→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n    24→\t\"github.com/go-chi/chi/v5\"\n    25→)\n    26→\n    27→type InfoType map[string]any\n    28→\n    29→type Route struct {\n    30→\tRoute    string\n    31→\tTemplate string\n    32→\tTitle    string\n    33→\tFilter   bool\n    34→\tSetup    func(i InfoType, r *http.Request) InfoType\n    35→}\n    36→\n    37→var routes []Route = []Route{\n    38→\t{\"/\", \"home.tmpl\", \"ClusterCockpit\", false, setupHomeRoute},\n    39→\t{\"/config\", \"config.tmpl\", \"Settings\", false, setupConfigRoute},\n    40→\t{\"/monitoring/jobs/\", \"monitoring/jobs.tmpl\", \"Jobs - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { return i }},\n    41→\t{\"/monitoring/job/{id:[0-9]+}\", \"monitoring/job.tmpl\", \"Job <ID> - ClusterCockpit\", false, setupJobRoute},\n    42→\t{\"/monitoring/users/\", \"monitoring/list.tmpl\", \"Users - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { i[\"listType\"] = \"USER\"; return i }},\n    43→\t{\"/monitoring/projects/\", \"monitoring/list.tmpl\", \"Projects - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { i[\"listType\"] = \"PROJECT\"; return i }},\n    44→\t{\"/monitoring/tags/\", \"monitoring/taglist.tmpl\", \"Tags - ClusterCockpit\", false, setupTaglistRoute},\n    45→\t{\"/monitoring/user/{id}\", \"monitoring/user.tmpl\", \"User <ID> - ClusterCockpit\", true, setupUserRoute},\n    46→\t{\"/monitoring/systems/{cluster}\", \"monitoring/systems.tmpl\", \"Cluster <ID> Node Overview - ClusterCockpit\", false, setupClusterOverviewRoute},\n    47→\t{\"/monitoring/systems/list/{cluster}\", \"monitoring/systems.tmpl\", \"Cluster <ID> Node List - ClusterCockpit\", false, setupClusterListRoute},\n    48→\t{\"/monitoring/systems/list/{cluster}/{subcluster}\", \"monitoring/systems.tmpl\", \"Cluster <ID> <SID> Node List - ClusterCockpit\", false, setupClusterListRoute},\n    49→\t{\"/monitoring/node/{cluster}/{hostname}\", \"monitoring/node.tmpl\", \"Node <ID> - ClusterCockpit\", false, setupNodeRoute},\n    50→\t{\"/monitoring/analysis/{cluster}\", \"monitoring/analysis.tmpl\", \"Analysis - ClusterCockpit\", true, setupAnalysisRoute},\n    51→\t{\"/monitoring/status/{cluster}\", \"monitoring/status.tmpl\", \"<ID> Dashboard - ClusterCockpit\", false, setupClusterStatusRoute},\n    52→\t{\"/monitoring/status/detail/{cluster}\", \"monitoring/status.tmpl\", \"Status of <ID> - ClusterCockpit\", false, setupClusterDetailRoute},\n    53→\t{\"/monitoring/dashboard/{cluster}\", \"monitoring/dashboard.tmpl\", \"<ID> Dashboard - ClusterCockpit\", false, setupDashboardRoute},\n    54→\t{\"/monitoring/logs\", \"monitoring/logs.tmpl\", \"Logs - ClusterCockpit\", false, func(i InfoType, r *http.Request) InfoType { return i }},\n    55→}\n    56→\n    57→func setupHomeRoute(i InfoType, r *http.Request) InfoType {\n    58→\tjobRepo := repository.GetJobRepository()\n    59→\tgroupBy := model.AggregateCluster\n    60→\n    61→\t// startJobCount := time.Now()\n    62→\tstats, err := jobRepo.JobCountGrouped(r.Context(), nil, &groupBy)\n    63→\tif err != nil {\n    64→\t\tcclog.Warnf(\"failed to count jobs: %s\", err.Error())\n    65→\t}\n    66→\t// cclog.Infof(\"Timer HOME ROUTE startJobCount: %s\", time.Since(startJobCount))\n    67→\n    68→\t// startRunningJobCount := time.Now()\n    69→\tstats, err = jobRepo.AddJobCountGrouped(r.Context(), nil, &groupBy, stats, \"running\")\n    70→\tif err != nil {\n    71→\t\tcclog.Warnf(\"failed to count running jobs: %s\", err.Error())\n    72→\t}\n    73→\t// cclog.Infof(\"Timer HOME ROUTE startRunningJobCount: %s\", time.Since(startRunningJobCount))\n    74→\n    75→\ti[\"clusters\"] = stats\n    76→\n    77→\tif util.CheckFileExists(\"./var/notice.txt\") {\n    78→\t\tmsg, err := os.ReadFile(\"./var/notice.txt\")\n    79→\t\tif err != nil {\n    80→\t\t\tcclog.Warnf(\"failed to read notice.txt file: %s\", err.Error())\n    81→\t\t} else {\n    82→\t\t\ti[\"message\"] = string(msg)\n    83→\t\t}\n    84→\t}\n    85→\n    86→\treturn i\n    87→}\n    88→\n    89→func setupConfigRoute(i InfoType, r *http.Request) InfoType {\n    90→\tif util.CheckFileExists(\"./var/notice.txt\") {\n    91→\t\tmsg, err := os.ReadFile(\"./var/notice.txt\")\n    92→\t\tif err == nil {\n    93→\t\t\ti[\"ncontent\"] = string(msg)\n    94→\t\t}\n    95→\t}\n    96→\n    97→\treturn i\n    98→}\n    99→\n   100→func setupJobRoute(i InfoType, r *http.Request) InfoType {\n   101→\ti[\"id\"] = chi.URLParam(r, \"id\")\n   102→\tif config.Keys.EmissionConstant != 0 {\n   103→\t\ti[\"emission\"] = config.Keys.EmissionConstant\n   104→\t}\n   105→\treturn i\n   106→}\n   107→\n   108→func setupUserRoute(i InfoType, r *http.Request) InfoType {\n   109→\tusername := chi.URLParam(r, \"id\")\n   110→\ti[\"id\"] = username\n   111→\ti[\"username\"] = username\n   112→\t// TODO: If forbidden (== err exists), redirect to error page\n   113→\tif user, _ := repository.GetUserRepository().FetchUserInCtx(r.Context(), username); user != nil {\n   114→\t\ti[\"name\"] = user.Name\n   115→\t\ti[\"email\"] = user.Email\n   116→\t}\n   117→\treturn i\n   118→}\n   119→\n   120→func setupClusterStatusRoute(i InfoType, r *http.Request) InfoType {\n   121→\tcluster := chi.URLParam(r, \"cluster\")\n   122→\ti[\"id\"] = cluster\n   123→\ti[\"cluster\"] = cluster\n   124→\ti[\"displayType\"] = \"DASHBOARD\"\n   125→\treturn i\n   126→}\n   127→\n   128→func setupClusterDetailRoute(i InfoType, r *http.Request) InfoType {\n   129→\tcluster := chi.URLParam(r, \"cluster\")\n   130→\ti[\"id\"] = cluster\n   131→\ti[\"cluster\"] = cluster\n   132→\ti[\"displayType\"] = \"DETAILS\"\n   133→\treturn i\n   134→}\n   135→\n   136→func setupDashboardRoute(i InfoType, r *http.Request) InfoType {\n   137→\tcluster := chi.URLParam(r, \"cluster\")\n   138→\ti[\"id\"] = cluster\n   139→\ti[\"cluster\"] = cluster\n   140→\ti[\"displayType\"] = \"PUBLIC\" // Used in Main Template\n   141→\treturn i\n   142→}\n   143→\n   144→func setupClusterOverviewRoute(i InfoType, r *http.Request) InfoType {\n   145→\tcluster := chi.URLParam(r, \"cluster\")\n   146→\ti[\"id\"] = cluster\n   147→\ti[\"cluster\"] = cluster\n   148→\ti[\"displayType\"] = \"OVERVIEW\"\n   149→\n   150→\tfrom, to := r.URL.Query().Get(\"from\"), r.URL.Query().Get(\"to\")\n   151→\tif from != \"\" || to != \"\" {\n   152→\t\ti[\"from\"] = from\n   153→\t\ti[\"to\"] = to\n   154→\t}\n   155→\treturn i\n   156→}\n   157→\n   158→func setupClusterListRoute(i InfoType, r *http.Request) InfoType {\n   159→\tcluster := chi.URLParam(r, \"cluster\")\n   160→\tsubcluster := chi.URLParam(r, \"subcluster\")\n   161→\ti[\"id\"] = cluster\n   162→\ti[\"cluster\"] = cluster\n   163→\ti[\"sid\"] = subcluster\n   164→\ti[\"subCluster\"] = subcluster\n   165→\ti[\"displayType\"] = \"LIST\"\n   166→\n   167→\tfrom, to := r.URL.Query().Get(\"from\"), r.URL.Query().Get(\"to\")\n   168→\tif from != \"\" || to != \"\" {\n   169→\t\ti[\"from\"] = from\n   170→\t\ti[\"to\"] = to\n   171→\t}\n   172→\treturn i\n   173→}\n   174→\n   175→func setupNodeRoute(i InfoType, r *http.Request) InfoType {\n   176→\tcluster := chi.URLParam(r, \"cluster\")\n   177→\thostname := chi.URLParam(r, \"hostname\")\n   178→\ti[\"cluster\"] = cluster\n   179→\ti[\"hostname\"] = hostname\n   180→\ti[\"id\"] = fmt.Sprintf(\"%s (%s)\", cluster, hostname)\n   181→\tfrom, to := r.URL.Query().Get(\"from\"), r.URL.Query().Get(\"to\")\n   182→\tif from != \"\" && to != \"\" {\n   183→\t\ti[\"from\"] = from\n   184→\t\ti[\"to\"] = to\n   185→\t}\n   186→\treturn i\n   187→}\n   188→\n   189→func setupAnalysisRoute(i InfoType, r *http.Request) InfoType {\n   190→\ti[\"cluster\"] = chi.URLParam(r, \"cluster\")\n   191→\treturn i\n   192→}\n   193→\n   194→func setupTaglistRoute(i InfoType, r *http.Request) InfoType {\n   195→\tjobRepo := repository.GetJobRepository()\n   196→\ttags, counts, err := jobRepo.CountTags(repository.GetUserFromContext(r.Context()))\n   197→\ttagMap := make(map[string][]map[string]any)\n   198→\tif err != nil {\n   199→\t\tcclog.Warnf(\"GetTags failed: %s\", err.Error())\n   200→\t\ti[\"tagmap\"] = tagMap\n   201→\t\treturn i\n   202→\t}\n   203→\t// Reduces displayed tags for unauth'd users\n   204→\tuserAuthlevel := repository.GetUserFromContext(r.Context()).GetAuthLevel()\n   205→\t// Uses tag.ID as second Map-Key component to differentiate tags with identical names\n   206→\tif userAuthlevel >= 4 { // Support+ : Show tags for all scopes, regardless of count\n   207→\t\tfor _, tag := range tags {\n   208→\t\t\ttagItem := map[string]any{\n   209→\t\t\t\t\"id\":    tag.ID,\n   210→\t\t\t\t\"name\":  tag.Name,\n   211→\t\t\t\t\"scope\": tag.Scope,\n   212→\t\t\t\t\"count\": counts[fmt.Sprint(tag.Type, tag.Name, tag.ID)],\n   213→\t\t\t}\n   214→\t\t\ttagMap[tag.Type] = append(tagMap[tag.Type], tagItem)\n   215→\t\t}\n   216→\t} else if userAuthlevel < 4 && userAuthlevel >= 2 { // User+ : Show global and admin scope only if at least 1 tag used, private scope regardless of count\n   217→\t\tfor _, tag := range tags {\n   218→\t\t\ttagCount := counts[fmt.Sprint(tag.Type, tag.Name, tag.ID)]\n   219→\t\t\tif ((tag.Scope == \"global\" || tag.Scope == \"admin\") && tagCount >= 1) || (tag.Scope != \"global\" && tag.Scope != \"admin\") {\n   220→\t\t\t\ttagItem := map[string]any{\n   221→\t\t\t\t\t\"id\":    tag.ID,\n   222→\t\t\t\t\t\"name\":  tag.Name,\n   223→\t\t\t\t\t\"scope\": tag.Scope,\n   224→\t\t\t\t\t\"count\": tagCount,\n   225→\t\t\t\t}\n   226→\t\t\t\ttagMap[tag.Type] = append(tagMap[tag.Type], tagItem)\n   227→\t\t\t}\n   228→\t\t}\n   229→\t} // auth < 2 return nothing for this route\n   230→\n   231→\ti[\"tagmap\"] = tagMap\n   232→\treturn i\n   233→}\n   234→\n   235→// FIXME: Lots of redundant code. Needs refactoring\n   236→func buildFilterPresets(query url.Values) map[string]any {\n   237→\tfilterPresets := map[string]any{}\n   238→\n   239→\tif query.Get(\"cluster\") != \"\" {\n   240→\t\tfilterPresets[\"cluster\"] = query.Get(\"cluster\")\n   241→\t}\n   242→\tif query.Get(\"partition\") != \"\" {\n   243→\t\tfilterPresets[\"partition\"] = query.Get(\"partition\")\n   244→\t}\n   245→\tif query.Get(\"project\") != \"\" {\n   246→\t\tfilterPresets[\"project\"] = query.Get(\"project\")\n   247→\t\tfilterPresets[\"projectMatch\"] = \"eq\"\n   248→\t}\n   249→\tif query.Get(\"jobName\") != \"\" {\n   250→\t\tfilterPresets[\"jobName\"] = query.Get(\"jobName\")\n   251→\t}\n   252→\tif len(query[\"user\"]) != 0 {\n   253→\t\tif len(query[\"user\"]) == 1 {\n   254→\t\t\tfilterPresets[\"user\"] = query.Get(\"user\")\n   255→\t\t\tfilterPresets[\"userMatch\"] = \"contains\"\n   256→\t\t} else {\n   257→\t\t\tfilterPresets[\"user\"] = query[\"user\"]\n   258→\t\t\tfilterPresets[\"userMatch\"] = \"in\"\n   259→\t\t}\n   260→\t}\n   261→\tif len(query[\"state\"]) != 0 {\n   262→\t\tfilterPresets[\"state\"] = query[\"state\"]\n   263→\t}\n   264→\tif query.Get(\"shared\") != \"\" {\n   265→\t\tfilterPresets[\"shared\"] = query.Get(\"shared\")\n   266→\t}\n   267→\tif query.Get(\"schedule\") != \"\" {\n   268→\t\tfilterPresets[\"schedule\"] = query.Get(\"schedule\")\n   269→\t}\n   270→\tif rawtags, ok := query[\"tag\"]; ok {\n   271→\t\ttags := make([]int, len(rawtags))\n   272→\t\tfor i, tid := range rawtags {\n   273→\t\t\tvar err error\n   274→\t\t\ttags[i], err = strconv.Atoi(tid)\n   275→\t\t\tif err != nil {\n   276→\t\t\t\ttags[i] = -1\n   277→\t\t\t}\n   278→\t\t}\n   279→\t\tfilterPresets[\"tags\"] = tags\n   280→\t}\n   281→\tif query.Get(\"duration\") != \"\" {\n   282→\t\tparts := strings.Split(query.Get(\"duration\"), \"-\")\n   283→\t\tif len(parts) == 2 {\n   284→\t\t\tif parts[0] == \"lessthan\" {\n   285→\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n   286→\t\t\t\tif lte == nil {\n   287→\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"lessThan\": lt, \"from\": 0, \"to\": 0}\n   288→\t\t\t\t}\n   289→\t\t\t} else if parts[0] == \"morethan\" {\n   290→\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n   291→\t\t\t\tif mte == nil {\n   292→\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"moreThan\": mt, \"from\": 0, \"to\": 0}\n   293→\t\t\t\t}\n   294→\t\t\t} else {\n   295→\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n   296→\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n   297→\t\t\t\tif e1 == nil && e2 == nil {\n   298→\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"from\": a, \"to\": b}\n   299→\t\t\t\t}\n   300→\t\t\t}\n   301→\t\t}\n   302→\t}\n   303→\tif query.Get(\"node\") != \"\" {\n   304→\t\tfilterPresets[\"node\"] = query.Get(\"node\")\n   305→\t}\n   306→\tif query.Get(\"numNodes\") != \"\" {\n   307→\t\tparts := strings.Split(query.Get(\"numNodes\"), \"-\")\n   308→\t\tif len(parts) == 2 {\n   309→\t\t\tif parts[0] == \"lessthan\" {\n   310→\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n   311→\t\t\t\tif lte == nil {\n   312→\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": 1, \"to\": lt}\n   313→\t\t\t\t}\n   314→\t\t\t} else if parts[0] == \"morethan\" {\n   315→\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n   316→\t\t\t\tif mte == nil {\n   317→\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": mt, \"to\": 0}\n   318→\t\t\t\t}\n   319→\t\t\t} else {\n   320→\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n   321→\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n   322→\t\t\t\tif e1 == nil && e2 == nil {\n   323→\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": a, \"to\": b}\n   324→\t\t\t\t}\n   325→\t\t\t}\n   326→\t\t}\n   327→\t}\n   328→\tif query.Get(\"numHWThreads\") != \"\" {\n   329→\t\tparts := strings.Split(query.Get(\"numHWThreads\"), \"-\")\n   330→\t\tif len(parts) == 2 {\n   331→\t\t\tif parts[0] == \"lessthan\" {\n   332→\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n   333→\t\t\t\tif lte == nil {\n   334→\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": 1, \"to\": lt}\n   335→\t\t\t\t}\n   336→\t\t\t} else if parts[0] == \"morethan\" {\n   337→\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n   338→\t\t\t\tif mte == nil {\n   339→\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": mt, \"to\": 0}\n   340→\t\t\t\t}\n   341→\t\t\t} else {\n   342→\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n   343→\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n   344→\t\t\t\tif e1 == nil && e2 == nil {\n   345→\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": a, \"to\": b}\n   346→\t\t\t\t}\n   347→\t\t\t}\n   348→\t\t}\n   349→\t}\n   350→\tif query.Get(\"numAccelerators\") != \"\" {\n   351→\t\tparts := strings.Split(query.Get(\"numAccelerators\"), \"-\")\n   352→\t\tif len(parts) == 2 {\n   353→\t\t\tif parts[0] == \"lessthan\" {\n   354→\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n   355→\t\t\t\tif lte == nil {\n   356→\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": 1, \"to\": lt}\n   357→\t\t\t\t}\n   358→\t\t\t} else if parts[0] == \"morethan\" {\n   359→\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n   360→\t\t\t\tif mte == nil {\n   361→\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": mt, \"to\": 0}\n   362→\t\t\t\t}\n   363→\t\t\t} else {\n   364→\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n   365→\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n   366→\t\t\t\tif e1 == nil && e2 == nil {\n   367→\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": a, \"to\": b}\n   368→\t\t\t\t}\n   369→\t\t\t}\n   370→\t\t}\n   371→\t}\n   372→\tif len(query[\"dbId\"]) != 0 {\n   373→\t\tfilterPresets[\"dbId\"] = query[\"dbId\"]\n   374→\t}\n   375→\tif query.Get(\"jobId\") != \"\" {\n   376→\t\tif len(query[\"jobId\"]) == 1 {\n   377→\t\t\tfilterPresets[\"jobId\"] = query.Get(\"jobId\")\n   378→\t\t\tfilterPresets[\"jobIdMatch\"] = \"eq\"\n   379→\t\t} else {\n   380→\t\t\tfilterPresets[\"jobId\"] = query[\"jobId\"]\n   381→\t\t\tfilterPresets[\"jobIdMatch\"] = \"in\"\n   382→\t\t}\n   383→\t}\n   384→\tif query.Get(\"arrayJobId\") != \"\" {\n   385→\t\tif num, err := strconv.Atoi(query.Get(\"arrayJobId\")); err == nil {\n   386→\t\t\tfilterPresets[\"arrayJobId\"] = num\n   387→\t\t}\n   388→\t}\n   389→\tif query.Get(\"startTime\") != \"\" {\n   390→\t\tparts := strings.Split(query.Get(\"startTime\"), \"-\")\n   391→\t\tif len(parts) == 2 { // Time in seconds, from - to\n   392→\t\t\ta, e1 := strconv.ParseInt(parts[0], 10, 64)\n   393→\t\t\tb, e2 := strconv.ParseInt(parts[1], 10, 64)\n   394→\t\t\tif e1 == nil && e2 == nil {\n   395→\t\t\t\tfilterPresets[\"startTime\"] = map[string]string{\n   396→\t\t\t\t\t\"from\": time.Unix(a, 0).Format(time.RFC3339),\n   397→\t\t\t\t\t\"to\":   time.Unix(b, 0).Format(time.RFC3339),\n   398→\t\t\t\t}\n   399→\t\t\t}\n   400→\t\t} else { // named range\n   401→\t\t\tfilterPresets[\"startTime\"] = map[string]string{\n   402→\t\t\t\t\"range\": query.Get(\"startTime\"),\n   403→\t\t\t}\n   404→\t\t}\n   405→\t}\n   406→\tif query.Get(\"energy\") != \"\" {\n   407→\t\tparts := strings.Split(query.Get(\"energy\"), \"-\")\n   408→\t\tif len(parts) == 2 {\n   409→\t\t\tif parts[0] == \"lessthan\" {\n   410→\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n   411→\t\t\t\tif lte == nil {\n   412→\t\t\t\t\tfilterPresets[\"energy\"] = map[string]int{\"from\": 1, \"to\": lt}\n   413→\t\t\t\t}\n   414→\t\t\t} else if parts[0] == \"morethan\" {\n   415→\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n   416→\t\t\t\tif mte == nil {\n   417→\t\t\t\t\tfilterPresets[\"energy\"] = map[string]int{\"from\": mt, \"to\": 0}\n   418→\t\t\t\t}\n   419→\t\t\t} else {\n   420→\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n   421→\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n   422→\t\t\t\tif e1 == nil && e2 == nil {\n   423→\t\t\t\t\tfilterPresets[\"energy\"] = map[string]int{\"from\": a, \"to\": b}\n   424→\t\t\t\t}\n   425→\t\t\t}\n   426→\t\t}\n   427→\t}\n   428→\tif len(query[\"stat\"]) != 0 {\n   429→\t\tstatList := make([]map[string]any, 0)\n   430→\t\tfor _, statEntry := range query[\"stat\"] {\n   431→\t\t\tparts := strings.Split(statEntry, \"-\")\n   432→\t\t\tif len(parts) == 3 { // Metric Footprint Stat Field, from - to\n   433→\t\t\t\tif parts[1] == \"lessthan\" {\n   434→\t\t\t\t\tlt, lte := strconv.ParseInt(parts[2], 10, 64)\n   435→\t\t\t\t\tif lte == nil {\n   436→\t\t\t\t\t\tstatEntry := map[string]any{\n   437→\t\t\t\t\t\t\t\"field\": parts[0],\n   438→\t\t\t\t\t\t\t\"from\":  1,\n   439→\t\t\t\t\t\t\t\"to\":    lt,\n   440→\t\t\t\t\t\t}\n   441→\t\t\t\t\t\tstatList = append(statList, statEntry)\n   442→\t\t\t\t\t}\n   443→\t\t\t\t} else if parts[1] == \"morethan\" {\n   444→\t\t\t\t\tmt, mte := strconv.ParseInt(parts[2], 10, 64)\n   445→\t\t\t\t\tif mte == nil {\n   446→\t\t\t\t\t\tstatEntry := map[string]any{\n   447→\t\t\t\t\t\t\t\"field\": parts[0],\n   448→\t\t\t\t\t\t\t\"from\":  mt,\n   449→\t\t\t\t\t\t\t\"to\":    0,\n   450→\t\t\t\t\t\t}\n   451→\t\t\t\t\t\tstatList = append(statList, statEntry)\n   452→\t\t\t\t\t}\n   453→\t\t\t\t} else {\n   454→\t\t\t\t\ta, e1 := strconv.ParseInt(parts[1], 10, 64)\n   455→\t\t\t\t\tb, e2 := strconv.ParseInt(parts[2], 10, 64)\n   456→\t\t\t\t\tif e1 == nil && e2 == nil {\n   457→\t\t\t\t\t\tstatEntry := map[string]any{\n   458→\t\t\t\t\t\t\t\"field\": parts[0],\n   459→\t\t\t\t\t\t\t\"from\":  a,\n   460→\t\t\t\t\t\t\t\"to\":    b,\n   461→\t\t\t\t\t\t}\n   462→\t\t\t\t\t\tstatList = append(statList, statEntry)\n   463→\t\t\t\t\t}\n   464→\t\t\t\t}\n   465→\t\t\t}\n   466→\t\t}\n   467→\t\tfilterPresets[\"stats\"] = statList\n   468→\t}\n   469→\treturn filterPresets\n   470→}\n   471→\n   472→func SetupRoutes(router chi.Router, buildInfo web.Build) {\n   473→\tuserCfgRepo := repository.GetUserCfgRepo()\n   474→\tfor _, route := range routes {\n   475→\t\trouter.HandleFunc(route.Route, func(rw http.ResponseWriter, r *http.Request) {\n   476→\t\t\tconf, err := userCfgRepo.GetUIConfig(repository.GetUserFromContext(r.Context()))\n   477→\t\t\tif err != nil {\n   478→\t\t\t\thttp.Error(rw, err.Error(), http.StatusInternalServerError)\n   479→\t\t\t\treturn\n   480→\t\t\t}\n   481→\n   482→\t\t\ttitle := route.Title\n   483→\t\t\tinfos := route.Setup(map[string]any{}, r)\n   484→\t\t\tif id, ok := infos[\"id\"]; ok {\n   485→\t\t\t\ttitle = strings.Replace(route.Title, \"<ID>\", id.(string), 1)\n   486→\t\t\t\tif sid, ok := infos[\"sid\"]; ok { // 2nd ID element\n   487→\t\t\t\t\ttitle = strings.Replace(title, \"<SID>\", sid.(string), 1)\n   488→\t\t\t\t}\n   489→\t\t\t}\n   490→\n   491→\t\t\t// Get User -> What if NIL?\n   492→\t\t\tuser := repository.GetUserFromContext(r.Context())\n   493→\n   494→\t\t\t// Get Roles\n   495→\t\t\tavailableRoles, _ := schema.GetValidRolesMap(user)\n   496→\n   497→\t\t\tresampling := resamplingForUser(conf)\n   498→\n   499→\t\t\tpage := web.Page{\n   500→\t\t\t\tTitle:      title,\n   501→\t\t\t\tUser:       *user,\n   502→\t\t\t\tRoles:      availableRoles,\n   503→\t\t\t\tBuild:      buildInfo,\n   504→\t\t\t\tConfig:     conf,\n   505→\t\t\t\tResampling: resampling,\n   506→\t\t\t\tInfos:      infos,\n   507→\t\t\t}\n   508→\n   509→\t\t\tif route.Filter {\n   510→\t\t\t\tpage.FilterPresets = buildFilterPresets(r.URL.Query())\n   511→\t\t\t}\n   512→\n   513→\t\t\tweb.RenderTemplate(rw, route.Template, &page)\n   514→\t\t})\n   515→\t}\n   516→}\n   517→\n   518→func HandleSearchBar(rw http.ResponseWriter, r *http.Request, buildInfo web.Build) {\n   519→\tuser := repository.GetUserFromContext(r.Context())\n   520→\tavailableRoles, _ := schema.GetValidRolesMap(user)\n   521→\n   522→\tif search := r.URL.Query().Get(\"searchId\"); search != \"\" {\n   523→\t\trepo := repository.GetJobRepository()\n   524→\t\tsplitSearch := strings.Split(search, \":\")\n   525→\n   526→\t\tif len(splitSearch) == 2 {\n   527→\t\t\tswitch strings.Trim(splitSearch[0], \" \") {\n   528→\t\t\tcase \"jobId\":\n   529→\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?jobId=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n   530→\t\t\tcase \"jobName\":\n   531→\t\t\t\t// Add Last 30 Days to migitate timeouts\n   532→\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 10)\n   533→\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n   534→\n   535→\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&jobName=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n   536→\t\t\tcase \"projectId\":\n   537→\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?projectMatch=eq&project=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n   538→\t\t\tcase \"arrayJobId\":\n   539→\t\t\t\t// Add Last 30 Days to migitate timeouts\n   540→\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 10)\n   541→\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n   542→\n   543→\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&arrayJobId=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n   544→\t\t\tcase \"username\":\n   545→\t\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n   546→\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \"))+\"&startTime=last30d\", http.StatusFound)\n   547→\t\t\t\t} else {\n   548→\t\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Error\", MsgType: \"alert-danger\", Message: \"Missing Access Rights\", User: *user, Roles: availableRoles, Build: buildInfo})\n   549→\t\t\t\t}\n   550→\t\t\tcase \"name\":\n   551→\t\t\t\tusernames, _ := repo.FindColumnValues(user, strings.Trim(splitSearch[1], \" \"), \"user\", \"username\", \"name\")\n   552→\t\t\t\tif len(usernames) != 0 {\n   553→\t\t\t\t\tjoinedNames := strings.Join(usernames, \"&user=\")\n   554→\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=\"+joinedNames+\"&startTime=last30d\", http.StatusFound)\n   555→\t\t\t\t} else {\n   556→\t\t\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n   557→\t\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=NoUserNameFound&startTime=last30d\", http.StatusPermanentRedirect)\n   558→\t\t\t\t\t} else {\n   559→\t\t\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Error\", MsgType: \"alert-danger\", Message: \"Missing Access Rights\", User: *user, Roles: availableRoles, Build: buildInfo})\n   560→\t\t\t\t\t}\n   561→\t\t\t\t}\n   562→\t\t\tdefault:\n   563→\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Warning\", MsgType: \"alert-warning\", Message: fmt.Sprintf(\"Unknown search type: %s\", strings.Trim(splitSearch[0], \" \")), User: *user, Roles: availableRoles, Build: buildInfo})\n   564→\t\t\t}\n   565→\t\t} else if len(splitSearch) == 1 {\n   566→\n   567→\t\t\tjobid, username, project, jobname := repo.FindUserOrProjectOrJobname(user, strings.Trim(search, \" \"))\n   568→\n   569→\t\t\tif jobid != \"\" {\n   570→\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?jobId=\"+url.QueryEscape(jobid), http.StatusFound) // JobId (Match)\n   571→\t\t\t} else if username != \"\" {\n   572→\t\t\t\thttp.Redirect(rw, r, \"/monitoring/user/\"+username, http.StatusFound) // User: Redirect to user page of first match\n   573→\t\t\t} else if project != \"\" {\n   574→\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?projectMatch=eq&project=\"+url.QueryEscape(project), http.StatusFound) // projectId (equal)\n   575→\t\t\t} else if jobname != \"\" {\n   576→\t\t\t\t// Add Last 30 Days to migitate timeouts\n   577→\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 10)\n   578→\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n   579→\n   580→\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&jobName=\"+url.QueryEscape(jobname), http.StatusFound) // 30D Fitler + JobName (contains)\n   581→\t\t\t} else {\n   582→\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Info\", MsgType: \"alert-info\", Message: \"Search without result\", User: *user, Roles: availableRoles, Build: buildInfo})\n   583→\t\t\t}\n   584→\n   585→\t\t} else {\n   586→\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Error\", MsgType: \"alert-danger\", Message: \"Searchbar query parameters malformed\", User: *user, Roles: availableRoles, Build: buildInfo})\n   587→\t\t}\n   588→\t} else {\n   589→\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Warning\", MsgType: \"alert-warning\", Message: \"Empty search\", User: *user, Roles: availableRoles, Build: buildInfo})\n   590→\t}\n   591→}\n   592→\n   593→// resamplingForUser returns a ResampleConfig that incorporates the user's\n   594→// resample policy preference. If the user has a policy set, it creates a\n   595→// policy-derived config with targetPoints and trigger. Otherwise falls back\n   596→// to the global config.\n   597→func resamplingForUser(conf map[string]any) *config.ResampleConfig {\n   598→\tglobalCfg := config.Keys.EnableResampling\n   599→\n   600→\tpolicyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]\n   601→\tif !ok {\n   602→\t\treturn globalCfg\n   603→\t}\n   604→\tpolicyStr, ok := policyVal.(string)\n   605→\tif !ok || policyStr == \"\" {\n   606→\t\treturn globalCfg\n   607→\t}\n   608→\n   609→\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n   610→\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n   611→\tif targetPoints == 0 {\n   612→\t\treturn globalCfg\n   613→\t}\n   614→\n   615→\t// Build a policy-derived config: targetPoints + trigger, no resolutions array\n   616→\treturn &config.ResampleConfig{\n   617→\t\tTargetPoints: targetPoints,\n   618→\t\tTrigger:      targetPoints / 4,\n   619→\t}\n   620→}\n   621→"}]},"uuid":"3d66b3d8-f3fc-4bfe-bea1-feb39e24dc09","timestamp":"2026-03-20T06:24:45.569Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/routerConfig/routes.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage routerConfig\n\nimport (\n\t\"fmt\"\n\t\"net/http\"\n\t\"net/url\"\n\t\"os\"\n\t\"strconv\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/web\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t\"github.com/go-chi/chi/v5\"\n)\n\ntype InfoType map[string]any\n\ntype Route struct {\n\tRoute    string\n\tTemplate string\n\tTitle    string\n\tFilter   bool\n\tSetup    func(i InfoType, r *http.Request) InfoType\n}\n\nvar routes []Route = []Route{\n\t{\"/\", \"home.tmpl\", \"ClusterCockpit\", false, setupHomeRoute},\n\t{\"/config\", \"config.tmpl\", \"Settings\", false, setupConfigRoute},\n\t{\"/monitoring/jobs/\", \"monitoring/jobs.tmpl\", \"Jobs - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { return i }},\n\t{\"/monitoring/job/{id:[0-9]+}\", \"monitoring/job.tmpl\", \"Job <ID> - ClusterCockpit\", false, setupJobRoute},\n\t{\"/monitoring/users/\", \"monitoring/list.tmpl\", \"Users - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { i[\"listType\"] = \"USER\"; return i }},\n\t{\"/monitoring/projects/\", \"monitoring/list.tmpl\", \"Projects - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { i[\"listType\"] = \"PROJECT\"; return i }},\n\t{\"/monitoring/tags/\", \"monitoring/taglist.tmpl\", \"Tags - ClusterCockpit\", false, setupTaglistRoute},\n\t{\"/monitoring/user/{id}\", \"monitoring/user.tmpl\", \"User <ID> - ClusterCockpit\", true, setupUserRoute},\n\t{\"/monitoring/systems/{cluster}\", \"monitoring/systems.tmpl\", \"Cluster <ID> Node Overview - ClusterCockpit\", false, setupClusterOverviewRoute},\n\t{\"/monitoring/systems/list/{cluster}\", \"monitoring/systems.tmpl\", \"Cluster <ID> Node List - ClusterCockpit\", false, setupClusterListRoute},\n\t{\"/monitoring/systems/list/{cluster}/{subcluster}\", \"monitoring/systems.tmpl\", \"Cluster <ID> <SID> Node List - ClusterCockpit\", false, setupClusterListRoute},\n\t{\"/monitoring/node/{cluster}/{hostname}\", \"monitoring/node.tmpl\", \"Node <ID> - ClusterCockpit\", false, setupNodeRoute},\n\t{\"/monitoring/analysis/{cluster}\", \"monitoring/analysis.tmpl\", \"Analysis - ClusterCockpit\", true, setupAnalysisRoute},\n\t{\"/monitoring/status/{cluster}\", \"monitoring/status.tmpl\", \"<ID> Dashboard - ClusterCockpit\", false, setupClusterStatusRoute},\n\t{\"/monitoring/status/detail/{cluster}\", \"monitoring/status.tmpl\", \"Status of <ID> - ClusterCockpit\", false, setupClusterDetailRoute},\n\t{\"/monitoring/dashboard/{cluster}\", \"monitoring/dashboard.tmpl\", \"<ID> Dashboard - ClusterCockpit\", false, setupDashboardRoute},\n\t{\"/monitoring/logs\", \"monitoring/logs.tmpl\", \"Logs - ClusterCockpit\", false, func(i InfoType, r *http.Request) InfoType { return i }},\n}\n\nfunc setupHomeRoute(i InfoType, r *http.Request) InfoType {\n\tjobRepo := repository.GetJobRepository()\n\tgroupBy := model.AggregateCluster\n\n\t// startJobCount := time.Now()\n\tstats, err := jobRepo.JobCountGrouped(r.Context(), nil, &groupBy)\n\tif err != nil {\n\t\tcclog.Warnf(\"failed to count jobs: %s\", err.Error())\n\t}\n\t// cclog.Infof(\"Timer HOME ROUTE startJobCount: %s\", time.Since(startJobCount))\n\n\t// startRunningJobCount := time.Now()\n\tstats, err = jobRepo.AddJobCountGrouped(r.Context(), nil, &groupBy, stats, \"running\")\n\tif err != nil {\n\t\tcclog.Warnf(\"failed to count running jobs: %s\", err.Error())\n\t}\n\t// cclog.Infof(\"Timer HOME ROUTE startRunningJobCount: %s\", time.Since(startRunningJobCount))\n\n\ti[\"clusters\"] = stats\n\n\tif util.CheckFileExists(\"./var/notice.txt\") {\n\t\tmsg, err := os.ReadFile(\"./var/notice.txt\")\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"failed to read notice.txt file: %s\", err.Error())\n\t\t} else {\n\t\t\ti[\"message\"] = string(msg)\n\t\t}\n\t}\n\n\treturn i\n}\n\nfunc setupConfigRoute(i InfoType, r *http.Request) InfoType {\n\tif util.CheckFileExists(\"./var/notice.txt\") {\n\t\tmsg, err := os.ReadFile(\"./var/notice.txt\")\n\t\tif err == nil {\n\t\t\ti[\"ncontent\"] = string(msg)\n\t\t}\n\t}\n\n\treturn i\n}\n\nfunc setupJobRoute(i InfoType, r *http.Request) InfoType {\n\ti[\"id\"] = chi.URLParam(r, \"id\")\n\tif config.Keys.EmissionConstant != 0 {\n\t\ti[\"emission\"] = config.Keys.EmissionConstant\n\t}\n\treturn i\n}\n\nfunc setupUserRoute(i InfoType, r *http.Request) InfoType {\n\tusername := chi.URLParam(r, \"id\")\n\ti[\"id\"] = username\n\ti[\"username\"] = username\n\t// TODO: If forbidden (== err exists), redirect to error page\n\tif user, _ := repository.GetUserRepository().FetchUserInCtx(r.Context(), username); user != nil {\n\t\ti[\"name\"] = user.Name\n\t\ti[\"email\"] = user.Email\n\t}\n\treturn i\n}\n\nfunc setupClusterStatusRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\ti[\"id\"] = cluster\n\ti[\"cluster\"] = cluster\n\ti[\"displayType\"] = \"DASHBOARD\"\n\treturn i\n}\n\nfunc setupClusterDetailRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\ti[\"id\"] = cluster\n\ti[\"cluster\"] = cluster\n\ti[\"displayType\"] = \"DETAILS\"\n\treturn i\n}\n\nfunc setupDashboardRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\ti[\"id\"] = cluster\n\ti[\"cluster\"] = cluster\n\ti[\"displayType\"] = \"PUBLIC\" // Used in Main Template\n\treturn i\n}\n\nfunc setupClusterOverviewRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\ti[\"id\"] = cluster\n\ti[\"cluster\"] = cluster\n\ti[\"displayType\"] = \"OVERVIEW\"\n\n\tfrom, to := r.URL.Query().Get(\"from\"), r.URL.Query().Get(\"to\")\n\tif from != \"\" || to != \"\" {\n\t\ti[\"from\"] = from\n\t\ti[\"to\"] = to\n\t}\n\treturn i\n}\n\nfunc setupClusterListRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\tsubcluster := chi.URLParam(r, \"subcluster\")\n\ti[\"id\"] = cluster\n\ti[\"cluster\"] = cluster\n\ti[\"sid\"] = subcluster\n\ti[\"subCluster\"] = subcluster\n\ti[\"displayType\"] = \"LIST\"\n\n\tfrom, to := r.URL.Query().Get(\"from\"), r.URL.Query().Get(\"to\")\n\tif from != \"\" || to != \"\" {\n\t\ti[\"from\"] = from\n\t\ti[\"to\"] = to\n\t}\n\treturn i\n}\n\nfunc setupNodeRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\thostname := chi.URLParam(r, \"hostname\")\n\ti[\"cluster\"] = cluster\n\ti[\"hostname\"] = hostname\n\ti[\"id\"] = fmt.Sprintf(\"%s (%s)\", cluster, hostname)\n\tfrom, to := r.URL.Query().Get(\"from\"), r.URL.Query().Get(\"to\")\n\tif from != \"\" && to != \"\" {\n\t\ti[\"from\"] = from\n\t\ti[\"to\"] = to\n\t}\n\treturn i\n}\n\nfunc setupAnalysisRoute(i InfoType, r *http.Request) InfoType {\n\ti[\"cluster\"] = chi.URLParam(r, \"cluster\")\n\treturn i\n}\n\nfunc setupTaglistRoute(i InfoType, r *http.Request) InfoType {\n\tjobRepo := repository.GetJobRepository()\n\ttags, counts, err := jobRepo.CountTags(repository.GetUserFromContext(r.Context()))\n\ttagMap := make(map[string][]map[string]any)\n\tif err != nil {\n\t\tcclog.Warnf(\"GetTags failed: %s\", err.Error())\n\t\ti[\"tagmap\"] = tagMap\n\t\treturn i\n\t}\n\t// Reduces displayed tags for unauth'd users\n\tuserAuthlevel := repository.GetUserFromContext(r.Context()).GetAuthLevel()\n\t// Uses tag.ID as second Map-Key component to differentiate tags with identical names\n\tif userAuthlevel >= 4 { // Support+ : Show tags for all scopes, regardless of count\n\t\tfor _, tag := range tags {\n\t\t\ttagItem := map[string]any{\n\t\t\t\t\"id\":    tag.ID,\n\t\t\t\t\"name\":  tag.Name,\n\t\t\t\t\"scope\": tag.Scope,\n\t\t\t\t\"count\": counts[fmt.Sprint(tag.Type, tag.Name, tag.ID)],\n\t\t\t}\n\t\t\ttagMap[tag.Type] = append(tagMap[tag.Type], tagItem)\n\t\t}\n\t} else if userAuthlevel < 4 && userAuthlevel >= 2 { // User+ : Show global and admin scope only if at least 1 tag used, private scope regardless of count\n\t\tfor _, tag := range tags {\n\t\t\ttagCount := counts[fmt.Sprint(tag.Type, tag.Name, tag.ID)]\n\t\t\tif ((tag.Scope == \"global\" || tag.Scope == \"admin\") && tagCount >= 1) || (tag.Scope != \"global\" && tag.Scope != \"admin\") {\n\t\t\t\ttagItem := map[string]any{\n\t\t\t\t\t\"id\":    tag.ID,\n\t\t\t\t\t\"name\":  tag.Name,\n\t\t\t\t\t\"scope\": tag.Scope,\n\t\t\t\t\t\"count\": tagCount,\n\t\t\t\t}\n\t\t\t\ttagMap[tag.Type] = append(tagMap[tag.Type], tagItem)\n\t\t\t}\n\t\t}\n\t} // auth < 2 return nothing for this route\n\n\ti[\"tagmap\"] = tagMap\n\treturn i\n}\n\n// FIXME: Lots of redundant code. Needs refactoring\nfunc buildFilterPresets(query url.Values) map[string]any {\n\tfilterPresets := map[string]any{}\n\n\tif query.Get(\"cluster\") != \"\" {\n\t\tfilterPresets[\"cluster\"] = query.Get(\"cluster\")\n\t}\n\tif query.Get(\"partition\") != \"\" {\n\t\tfilterPresets[\"partition\"] = query.Get(\"partition\")\n\t}\n\tif query.Get(\"project\") != \"\" {\n\t\tfilterPresets[\"project\"] = query.Get(\"project\")\n\t\tfilterPresets[\"projectMatch\"] = \"eq\"\n\t}\n\tif query.Get(\"jobName\") != \"\" {\n\t\tfilterPresets[\"jobName\"] = query.Get(\"jobName\")\n\t}\n\tif len(query[\"user\"]) != 0 {\n\t\tif len(query[\"user\"]) == 1 {\n\t\t\tfilterPresets[\"user\"] = query.Get(\"user\")\n\t\t\tfilterPresets[\"userMatch\"] = \"contains\"\n\t\t} else {\n\t\t\tfilterPresets[\"user\"] = query[\"user\"]\n\t\t\tfilterPresets[\"userMatch\"] = \"in\"\n\t\t}\n\t}\n\tif len(query[\"state\"]) != 0 {\n\t\tfilterPresets[\"state\"] = query[\"state\"]\n\t}\n\tif query.Get(\"shared\") != \"\" {\n\t\tfilterPresets[\"shared\"] = query.Get(\"shared\")\n\t}\n\tif query.Get(\"schedule\") != \"\" {\n\t\tfilterPresets[\"schedule\"] = query.Get(\"schedule\")\n\t}\n\tif rawtags, ok := query[\"tag\"]; ok {\n\t\ttags := make([]int, len(rawtags))\n\t\tfor i, tid := range rawtags {\n\t\t\tvar err error\n\t\t\ttags[i], err = strconv.Atoi(tid)\n\t\t\tif err != nil {\n\t\t\t\ttags[i] = -1\n\t\t\t}\n\t\t}\n\t\tfilterPresets[\"tags\"] = tags\n\t}\n\tif query.Get(\"duration\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"duration\"), \"-\")\n\t\tif len(parts) == 2 {\n\t\t\tif parts[0] == \"lessthan\" {\n\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n\t\t\t\tif lte == nil {\n\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"lessThan\": lt, \"from\": 0, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else if parts[0] == \"morethan\" {\n\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n\t\t\t\tif mte == nil {\n\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"moreThan\": mt, \"from\": 0, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"from\": a, \"to\": b}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tif query.Get(\"node\") != \"\" {\n\t\tfilterPresets[\"node\"] = query.Get(\"node\")\n\t}\n\tif query.Get(\"numNodes\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"numNodes\"), \"-\")\n\t\tif len(parts) == 2 {\n\t\t\tif parts[0] == \"lessthan\" {\n\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n\t\t\t\tif lte == nil {\n\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": 1, \"to\": lt}\n\t\t\t\t}\n\t\t\t} else if parts[0] == \"morethan\" {\n\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n\t\t\t\tif mte == nil {\n\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": mt, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": a, \"to\": b}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tif query.Get(\"numHWThreads\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"numHWThreads\"), \"-\")\n\t\tif len(parts) == 2 {\n\t\t\tif parts[0] == \"lessthan\" {\n\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n\t\t\t\tif lte == nil {\n\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": 1, \"to\": lt}\n\t\t\t\t}\n\t\t\t} else if parts[0] == \"morethan\" {\n\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n\t\t\t\tif mte == nil {\n\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": mt, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": a, \"to\": b}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tif query.Get(\"numAccelerators\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"numAccelerators\"), \"-\")\n\t\tif len(parts) == 2 {\n\t\t\tif parts[0] == \"lessthan\" {\n\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n\t\t\t\tif lte == nil {\n\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": 1, \"to\": lt}\n\t\t\t\t}\n\t\t\t} else if parts[0] == \"morethan\" {\n\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n\t\t\t\tif mte == nil {\n\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": mt, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": a, \"to\": b}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tif len(query[\"dbId\"]) != 0 {\n\t\tfilterPresets[\"dbId\"] = query[\"dbId\"]\n\t}\n\tif query.Get(\"jobId\") != \"\" {\n\t\tif len(query[\"jobId\"]) == 1 {\n\t\t\tfilterPresets[\"jobId\"] = query.Get(\"jobId\")\n\t\t\tfilterPresets[\"jobIdMatch\"] = \"eq\"\n\t\t} else {\n\t\t\tfilterPresets[\"jobId\"] = query[\"jobId\"]\n\t\t\tfilterPresets[\"jobIdMatch\"] = \"in\"\n\t\t}\n\t}\n\tif query.Get(\"arrayJobId\") != \"\" {\n\t\tif num, err := strconv.Atoi(query.Get(\"arrayJobId\")); err == nil {\n\t\t\tfilterPresets[\"arrayJobId\"] = num\n\t\t}\n\t}\n\tif query.Get(\"startTime\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"startTime\"), \"-\")\n\t\tif len(parts) == 2 { // Time in seconds, from - to\n\t\t\ta, e1 := strconv.ParseInt(parts[0], 10, 64)\n\t\t\tb, e2 := strconv.ParseInt(parts[1], 10, 64)\n\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\tfilterPresets[\"startTime\"] = map[string]string{\n\t\t\t\t\t\"from\": time.Unix(a, 0).Format(time.RFC3339),\n\t\t\t\t\t\"to\":   time.Unix(b, 0).Format(time.RFC3339),\n\t\t\t\t}\n\t\t\t}\n\t\t} else { // named range\n\t\t\tfilterPresets[\"startTime\"] = map[string]string{\n\t\t\t\t\"range\": query.Get(\"startTime\"),\n\t\t\t}\n\t\t}\n\t}\n\tif query.Get(\"energy\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"energy\"), \"-\")\n\t\tif len(parts) == 2 {\n\t\t\tif parts[0] == \"lessthan\" {\n\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n\t\t\t\tif lte == nil {\n\t\t\t\t\tfilterPresets[\"energy\"] = map[string]int{\"from\": 1, \"to\": lt}\n\t\t\t\t}\n\t\t\t} else if parts[0] == \"morethan\" {\n\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n\t\t\t\tif mte == nil {\n\t\t\t\t\tfilterPresets[\"energy\"] = map[string]int{\"from\": mt, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\tfilterPresets[\"energy\"] = map[string]int{\"from\": a, \"to\": b}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tif len(query[\"stat\"]) != 0 {\n\t\tstatList := make([]map[string]any, 0)\n\t\tfor _, statEntry := range query[\"stat\"] {\n\t\t\tparts := strings.Split(statEntry, \"-\")\n\t\t\tif len(parts) == 3 { // Metric Footprint Stat Field, from - to\n\t\t\t\tif parts[1] == \"lessthan\" {\n\t\t\t\t\tlt, lte := strconv.ParseInt(parts[2], 10, 64)\n\t\t\t\t\tif lte == nil {\n\t\t\t\t\t\tstatEntry := map[string]any{\n\t\t\t\t\t\t\t\"field\": parts[0],\n\t\t\t\t\t\t\t\"from\":  1,\n\t\t\t\t\t\t\t\"to\":    lt,\n\t\t\t\t\t\t}\n\t\t\t\t\t\tstatList = append(statList, statEntry)\n\t\t\t\t\t}\n\t\t\t\t} else if parts[1] == \"morethan\" {\n\t\t\t\t\tmt, mte := strconv.ParseInt(parts[2], 10, 64)\n\t\t\t\t\tif mte == nil {\n\t\t\t\t\t\tstatEntry := map[string]any{\n\t\t\t\t\t\t\t\"field\": parts[0],\n\t\t\t\t\t\t\t\"from\":  mt,\n\t\t\t\t\t\t\t\"to\":    0,\n\t\t\t\t\t\t}\n\t\t\t\t\t\tstatList = append(statList, statEntry)\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\ta, e1 := strconv.ParseInt(parts[1], 10, 64)\n\t\t\t\t\tb, e2 := strconv.ParseInt(parts[2], 10, 64)\n\t\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\t\tstatEntry := map[string]any{\n\t\t\t\t\t\t\t\"field\": parts[0],\n\t\t\t\t\t\t\t\"from\":  a,\n\t\t\t\t\t\t\t\"to\":    b,\n\t\t\t\t\t\t}\n\t\t\t\t\t\tstatList = append(statList, statEntry)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\tfilterPresets[\"stats\"] = statList\n\t}\n\treturn filterPresets\n}\n\nfunc SetupRoutes(router chi.Router, buildInfo web.Build) {\n\tuserCfgRepo := repository.GetUserCfgRepo()\n\tfor _, route := range routes {\n\t\trouter.HandleFunc(route.Route, func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tconf, err := userCfgRepo.GetUIConfig(repository.GetUserFromContext(r.Context()))\n\t\t\tif err != nil {\n\t\t\t\thttp.Error(rw, err.Error(), http.StatusInternalServerError)\n\t\t\t\treturn\n\t\t\t}\n\n\t\t\ttitle := route.Title\n\t\t\tinfos := route.Setup(map[string]any{}, r)\n\t\t\tif id, ok := infos[\"id\"]; ok {\n\t\t\t\ttitle = strings.Replace(route.Title, \"<ID>\", id.(string), 1)\n\t\t\t\tif sid, ok := infos[\"sid\"]; ok { // 2nd ID element\n\t\t\t\t\ttitle = strings.Replace(title, \"<SID>\", sid.(string), 1)\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Get User -> What if NIL?\n\t\t\tuser := repository.GetUserFromContext(r.Context())\n\n\t\t\t// Get Roles\n\t\t\tavailableRoles, _ := schema.GetValidRolesMap(user)\n\n\t\t\tresampling := resamplingForUser(conf)\n\n\t\t\tpage := web.Page{\n\t\t\t\tTitle:      title,\n\t\t\t\tUser:       *user,\n\t\t\t\tRoles:      availableRoles,\n\t\t\t\tBuild:      buildInfo,\n\t\t\t\tConfig:     conf,\n\t\t\t\tResampling: resampling,\n\t\t\t\tInfos:      infos,\n\t\t\t}\n\n\t\t\tif route.Filter {\n\t\t\t\tpage.FilterPresets = buildFilterPresets(r.URL.Query())\n\t\t\t}\n\n\t\t\tweb.RenderTemplate(rw, route.Template, &page)\n\t\t})\n\t}\n}\n\nfunc HandleSearchBar(rw http.ResponseWriter, r *http.Request, buildInfo web.Build) {\n\tuser := repository.GetUserFromContext(r.Context())\n\tavailableRoles, _ := schema.GetValidRolesMap(user)\n\n\tif search := r.URL.Query().Get(\"searchId\"); search != \"\" {\n\t\trepo := repository.GetJobRepository()\n\t\tsplitSearch := strings.Split(search, \":\")\n\n\t\tif len(splitSearch) == 2 {\n\t\t\tswitch strings.Trim(splitSearch[0], \" \") {\n\t\t\tcase \"jobId\":\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?jobId=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n\t\t\tcase \"jobName\":\n\t\t\t\t// Add Last 30 Days to migitate timeouts\n\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 10)\n\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&jobName=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n\t\t\tcase \"projectId\":\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?projectMatch=eq&project=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n\t\t\tcase \"arrayJobId\":\n\t\t\t\t// Add Last 30 Days to migitate timeouts\n\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 10)\n\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&arrayJobId=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n\t\t\tcase \"username\":\n\t\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \"))+\"&startTime=last30d\", http.StatusFound)\n\t\t\t\t} else {\n\t\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Error\", MsgType: \"alert-danger\", Message: \"Missing Access Rights\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t\t\t\t}\n\t\t\tcase \"name\":\n\t\t\t\tusernames, _ := repo.FindColumnValues(user, strings.Trim(splitSearch[1], \" \"), \"user\", \"username\", \"name\")\n\t\t\t\tif len(usernames) != 0 {\n\t\t\t\t\tjoinedNames := strings.Join(usernames, \"&user=\")\n\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=\"+joinedNames+\"&startTime=last30d\", http.StatusFound)\n\t\t\t\t} else {\n\t\t\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=NoUserNameFound&startTime=last30d\", http.StatusPermanentRedirect)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Error\", MsgType: \"alert-danger\", Message: \"Missing Access Rights\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\tdefault:\n\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Warning\", MsgType: \"alert-warning\", Message: fmt.Sprintf(\"Unknown search type: %s\", strings.Trim(splitSearch[0], \" \")), User: *user, Roles: availableRoles, Build: buildInfo})\n\t\t\t}\n\t\t} else if len(splitSearch) == 1 {\n\n\t\t\tjobid, username, project, jobname := repo.FindUserOrProjectOrJobname(user, strings.Trim(search, \" \"))\n\n\t\t\tif jobid != \"\" {\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?jobId=\"+url.QueryEscape(jobid), http.StatusFound) // JobId (Match)\n\t\t\t} else if username != \"\" {\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/user/\"+username, http.StatusFound) // User: Redirect to user page of first match\n\t\t\t} else if project != \"\" {\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?projectMatch=eq&project=\"+url.QueryEscape(project), http.StatusFound) // projectId (equal)\n\t\t\t} else if jobname != \"\" {\n\t\t\t\t// Add Last 30 Days to migitate timeouts\n\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 10)\n\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&jobName=\"+url.QueryEscape(jobname), http.StatusFound) // 30D Fitler + JobName (contains)\n\t\t\t} else {\n\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Info\", MsgType: \"alert-info\", Message: \"Search without result\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t\t\t}\n\n\t\t} else {\n\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Error\", MsgType: \"alert-danger\", Message: \"Searchbar query parameters malformed\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t\t}\n\t} else {\n\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Warning\", MsgType: \"alert-warning\", Message: \"Empty search\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t}\n}\n\n// resamplingForUser returns a ResampleConfig that incorporates the user's\n// resample policy preference. If the user has a policy set, it creates a\n// policy-derived config with targetPoints and trigger. Otherwise falls back\n// to the global config.\nfunc resamplingForUser(conf map[string]any) *config.ResampleConfig {\n\tglobalCfg := config.Keys.EnableResampling\n\n\tpolicyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]\n\tif !ok {\n\t\treturn globalCfg\n\t}\n\tpolicyStr, ok := policyVal.(string)\n\tif !ok || policyStr == \"\" {\n\t\treturn globalCfg\n\t}\n\n\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n\tif targetPoints == 0 {\n\t\treturn globalCfg\n\t}\n\n\t// Build a policy-derived config: targetPoints + trigger, no resolutions array\n\treturn &config.ResampleConfig{\n\t\tTargetPoints: targetPoints,\n\t\tTrigger:      targetPoints / 4,\n\t}\n}\n","numLines":621,"startLine":1,"totalLines":621}},"sourceToolAssistantUUID":"a536e984-17c9-4cb2-aa55-f4ad71147e33","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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Returns 0 if the\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-33-// total number of data points is already at or below targetPoints (no resampling needed).\ninternal/metricdispatch/resamplepolicy.go:34:func ComputeResolution(duration int64, frequency int64, targetPoints int) int {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-35-\tif frequency <= 0 || targetPoints <= 0 || duration <= 0 {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-36-\t\treturn 0\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-37-\t}\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-6-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-7-import \"testing\"\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-8-\ninternal/metricdispatch/resamplepolicy_test.go:9:func TestTargetPointsForPolicy(t *testing.T) {\ninternal/metricdispatch/resamplepolicy_test.go-10-\ttests := []struct {\ninternal/metricdispatch/resamplepolicy_test.go:11:\t\tpolicy ResamplePolicy\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-12-\t\twant   int\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-13-\t}{\ninternal/metricdispatch/resamplepolicy_test.go:14:\t\t{ResamplePolicyLow, 200},\ninternal/metricdispatch/resamplepolicy_test.go:15:\t\t{ResamplePolicyMedium, 500},\ninternal/metricdispatch/resamplepolicy_test.go:16:\t\t{ResamplePolicyHigh, 1000},\ninternal/metricdispatch/resamplepolicy_test.go:17:\t\t{ResamplePolicy(\"unknown\"), 0},\ninternal/metricdispatch/resamplepolicy_test.go:18:\t\t{ResamplePolicy(\"\"), 0},\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-19-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-20-\ninternal/metricdispatch/resamplepolicy_test.go-21-\tfor _, tt := range tests {\ninternal/metricdispatch/resamplepolicy_test.go:22:\t\tif got := TargetPointsForPolicy(tt.policy); got != tt.want {\ninternal/metricdispatch/resamplepolicy_test.go:23:\t\t\tt.Errorf(\"TargetPointsForPolicy(%q) = %d, want %d\", tt.policy, got, tt.want)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-24-\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-25-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-26-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-27-\ninternal/metricdispatch/resamplepolicy_test.go:28:func TestComputeResolution(t *testing.T) {\ninternal/metricdispatch/resamplepolicy_test.go-29-\ttests := []struct {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-30-\t\tname         string\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-31-\t\tduration     int64\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-58-\ninternal/metricdispatch/resamplepolicy_test.go-59-\tfor _, tt := range tests {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-60-\t\tt.Run(tt.name, func(t *testing.T) {\ninternal/metricdispatch/resamplepolicy_test.go:61:\t\t\tgot := ComputeResolution(tt.duration, tt.frequency, tt.targetPoints)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-62-\t\t\tif got != tt.want {\ninternal/metricdispatch/resamplepolicy_test.go:63:\t\t\t\tt.Errorf(\"ComputeResolution(%d, %d, %d) = %d, want %d\",\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-64-\t\t\t\t\ttt.duration, tt.frequency, tt.targetPoints, got, tt.want)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-65-\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-66-\t\t})"}]},"uuid":"20c7f47c-d622-4baa-8c3e-a554831fd4ac","timestamp":"2026-03-20T06:24:52.712Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-6-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-7-import \"math\"\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-8-\ninternal/metricdispatch/resamplepolicy.go:9:type ResamplePolicy string\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-10-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-11-const (\ninternal/metricdispatch/resamplepolicy.go:12:\tResamplePolicyLow    ResamplePolicy = \"low\"\ninternal/metricdispatch/resamplepolicy.go:13:\tResamplePolicyMedium ResamplePolicy = \"medium\"\ninternal/metricdispatch/resamplepolicy.go:14:\tResamplePolicyHigh   ResamplePolicy = \"high\"\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-15-)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-16-\ninternal/metricdispatch/resamplepolicy.go:17:// TargetPointsForPolicy returns the target number of data points for a given policy.\ninternal/metricdispatch/resamplepolicy.go:18:func TargetPointsForPolicy(policy ResamplePolicy) int {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-19-\tswitch policy {\ninternal/metricdispatch/resamplepolicy.go:20:\tcase ResamplePolicyLow:\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-21-\t\treturn 200\ninternal/metricdispatch/resamplepolicy.go:22:\tcase ResamplePolicyMedium:\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-23-\t\treturn 500\ninternal/metricdispatch/resamplepolicy.go:24:\tcase ResamplePolicyHigh:\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-25-\t\treturn 1000\ninternal/metricdispatch/resamplepolicy.go-26-\tdefault:\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-27-\t\treturn 0\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-28-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-29-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-30-\ninternal/metricdispatch/resamplepolicy.go:31:// ComputeResolution computes the resampling resolution in seconds for a given\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-32-// job duration, metric frequency, and target point count. Returns 0 if the\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-33-// total number of data points is already at or below targetPoints (no resampling needed).\ninternal/metricdispatch/resamplepolicy.go:34:func ComputeResolution(duration int64, frequency int64, targetPoints int) int {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-35-\tif frequency <= 0 || targetPoints <= 0 || duration <= 0 {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-36-\t\treturn 0\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-37-\t}\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-6-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-7-import \"testing\"\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-8-\ninternal/metricdispatch/resamplepolicy_test.go:9:func TestTargetPointsForPolicy(t *testing.T) {\ninternal/metricdispatch/resamplepolicy_test.go-10-\ttests := []struct {\ninternal/metricdispatch/resamplepolicy_test.go:11:\t\tpolicy ResamplePolicy\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-12-\t\twant   int\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-13-\t}{\ninternal/metricdispatch/resamplepolicy_test.go:14:\t\t{ResamplePolicyLow, 200},\ninternal/metricdispatch/resamplepolicy_test.go:15:\t\t{ResamplePolicyMedium, 500},\ninternal/metricdispatch/resamplepolicy_test.go:16:\t\t{ResamplePolicyHigh, 1000},\ninternal/metricdispatch/resamplepolicy_test.go:17:\t\t{ResamplePolicy(\"unknown\"), 0},\ninternal/metricdispatch/resamplepolicy_test.go:18:\t\t{ResamplePolicy(\"\"), 0},\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-19-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-20-\ninternal/metricdispatch/resamplepolicy_test.go-21-\tfor _, tt := range tests {\ninternal/metricdispatch/resamplepolicy_test.go:22:\t\tif got := TargetPointsForPolicy(tt.policy); got != tt.want {\ninternal/metricdispatch/resamplepolicy_test.go:23:\t\t\tt.Errorf(\"TargetPointsForPolicy(%q) = %d, want %d\", tt.policy, got, tt.want)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-24-\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-25-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-26-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-27-\ninternal/metricdispatch/resamplepolicy_test.go:28:func TestComputeResolution(t *testing.T) {\ninternal/metricdispatch/resamplepolicy_test.go-29-\ttests := []struct {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-30-\t\tname         string\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-31-\t\tduration     int64\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-58-\ninternal/metricdispatch/resamplepolicy_test.go-59-\tfor _, tt := range tests {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-60-\t\tt.Run(tt.name, func(t *testing.T) {\ninternal/metricdispatch/resamplepolicy_test.go:61:\t\t\tgot := ComputeResolution(tt.duration, tt.frequency, tt.targetPoints)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-62-\t\t\tif got != tt.want {\ninternal/metricdispatch/resamplepolicy_test.go:63:\t\t\t\tt.Errorf(\"ComputeResolution(%d, %d, %d) = %d, want %d\",\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-64-\t\t\t\t\ttt.duration, tt.frequency, tt.targetPoints, got, tt.want)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-65-\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-66-\t\t})","numLines":69},"sourceToolAssistantUUID":"52860183-4233-4b6b-8fa8-744a65c09a90","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"20c7f47c-d622-4baa-8c3e-a554831fd4ac","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01HLrEoc7D1NWZmBGVrYEM3B","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EosCCkYICxgCKkCnlnsdAWm2gwedv+mOGyAPj83QLoqDlWaHBrTsDkd7p1MxUb7gZUmn5LSzXozU0N8Z74o/WWBHsreq5Eo7crvAEgxNjB6XA6+dM9sXd0MaDKrhNkXjtAGjtvCr3yIwS5KGRIJK8KxKnchJtjNvGSLwau0cRFONAlIoS8Atj5aUy+FgJLJuGrfzHfLIMPiMKnOzGlvruNc+kiG44D5KOhez4vwjg87F9oRlvEQrHX+VYCRoCZmu2gq3/w0ABC3NyGtzlHYoQ0IC5hjjcCVin00UcP37I+QeaBMORFWe27T6SomSR5Z2G2KUcBMbk+djQDnbNk3dbvzF1kGEInpPokOrDGSpGAE="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":6281,"cache_read_input_tokens":36306,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":6281},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrVqfXpbYyN96vuXwmc","type":"assistant","uuid":"5f8d4ffa-743b-4653-a681-4756da598776","timestamp":"2026-03-20T06:24:57.427Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"5f8d4ffa-743b-4653-a681-4756da598776","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01HLrEoc7D1NWZmBGVrYEM3B","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me read the relevant sections of schema.resolvers.go more precisely."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":6281,"cache_read_input_tokens":36306,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":6281},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrVqfXpbYyN96vuXwmc","type":"assistant","uuid":"29b70978-ab6d-4b06-9a0a-bda6e1417059","timestamp":"2026-03-20T06:24:57.867Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"7c869ff8-b358-4854-abee-5d2bf50436a4","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01PCejjCht546q1yBkbR9NWB","toolUseID":"toolu_01PCejjCht546q1yBkbR9NWB","timestamp":"2026-03-20T06:24:58.866Z","uuid":"223144ec-c060-4e59-b5b8-a9d30e608270","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"7c869ff8-b358-4854-abee-5d2bf50436a4","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PCejjCht546q1yBkbR9NWB","type":"tool_result","content":"   500→// JobMetrics is the resolver for the jobMetrics field.\n   501→func (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int, resampleAlgo *model.ResampleAlgo) ([]*model.JobMetricWithName, error) {\n   502→\tjob, err := r.Query().Job(ctx, id)\n   503→\tif err != nil {\n   504→\t\tcclog.Warn(\"Error while querying job for metrics\")\n   505→\t\treturn nil, err\n   506→\t}\n   507→\n   508→\t// Resolve resolution: explicit param > user policy > global config > 0\n   509→\tif resolution == nil {\n   510→\t\tresolution = resolveResolutionFromPolicy(ctx, int64(job.Duration), job.Cluster, metrics)\n   511→\t}\n   512→\tif resolution == nil {\n   513→\t\tif config.Keys.EnableResampling != nil {\n   514→\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n   515→\t\t\tresolution = &defaultRes\n   516→\t\t} else {\n   517→\t\t\tdefaultRes := 0\n   518→\t\t\tresolution = &defaultRes\n   519→\t\t}\n   520→\t}\n   521→\n   522→\talgoName := resolveResampleAlgo(ctx, resampleAlgo)\n   523→\n   524→\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution, algoName)\n   525→\tif err != nil {\n   526→\t\tcclog.Warn(\"Error while loading job data\")\n   527→\t\treturn nil, err\n   528→\t}\n   529→"}]},"uuid":"0c501faf-f688-478e-9058-b19fe1a82820","timestamp":"2026-03-20T06:24:58.866Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","content":"// JobMetrics is the resolver for the jobMetrics field.\nfunc (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int, resampleAlgo *model.ResampleAlgo) ([]*model.JobMetricWithName, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying job for metrics\")\n\t\treturn nil, err\n\t}\n\n\t// Resolve resolution: explicit param > user policy > global config > 0\n\tif resolution == nil {\n\t\tresolution = resolveResolutionFromPolicy(ctx, int64(job.Duration), job.Cluster, metrics)\n\t}\n\tif resolution == nil {\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else {\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\talgoName := resolveResampleAlgo(ctx, resampleAlgo)\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution, algoName)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job data\")\n\t\treturn nil, err\n\t}\n","numLines":30,"startLine":500,"totalLines":1090}},"sourceToolAssistantUUID":"7c869ff8-b358-4854-abee-5d2bf50436a4","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"86f3a99d-766e-43c4-aa22-11dfc537f0ff","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01Ec42WwLiaX7rTyeZ97gRAA","toolUseID":"toolu_01Ec42WwLiaX7rTyeZ97gRAA","timestamp":"2026-03-20T06:24:59.368Z","uuid":"60464961-84cc-4ec4-9ca2-b48fa3852323","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"86f3a99d-766e-43c4-aa22-11dfc537f0ff","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Ec42WwLiaX7rTyeZ97gRAA","type":"tool_result","content":"   878→}\n   879→\n   880→// NodeMetricsList is the resolver for the nodeMetricsList field.\n   881→func (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int, resampleAlgo *model.ResampleAlgo) (*model.NodesResultList, error) {\n   882→\t// Resolve resolution: explicit param > user policy > global config > 0\n   883→\tduration := int64(to.Sub(from).Seconds())\n   884→\tif resolution == nil {\n   885→\t\tresolution = resolveResolutionFromPolicy(ctx, duration, cluster, metrics)\n   886→\t}\n   887→\tif resolution == nil {\n   888→\t\tif config.Keys.EnableResampling != nil {\n   889→\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n   890→\t\t\tresolution = &defaultRes\n   891→\t\t} else {\n   892→\t\t\tdefaultRes := 0\n   893→\t\t\tresolution = &defaultRes\n   894→\t\t}\n   895→\t}\n   896→\n   897→\tuser := repository.GetUserFromContext(ctx)\n   898→\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n   899→\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n   900→\t}\n   901→\n   902→\tnodeRepo := repository.GetNodeRepository()"}]},"uuid":"a0503494-c6ed-4113-944b-e49c94d3236d","timestamp":"2026-03-20T06:24:59.367Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","content":"}\n\n// NodeMetricsList is the resolver for the nodeMetricsList field.\nfunc (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int, resampleAlgo *model.ResampleAlgo) (*model.NodesResultList, error) {\n\t// Resolve resolution: explicit param > user policy > global config > 0\n\tduration := int64(to.Sub(from).Seconds())\n\tif resolution == nil {\n\t\tresolution = resolveResolutionFromPolicy(ctx, duration, cluster, metrics)\n\t}\n\tif resolution == nil {\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else {\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()","numLines":25,"startLine":878,"totalLines":1090}},"sourceToolAssistantUUID":"86f3a99d-766e-43c4-aa22-11dfc537f0ff","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"a0503494-c6ed-4113-944b-e49c94d3236d","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01CVo3cc3tE7JDX3SHTzjGna","type":"message","role":"assistant","content":[{"type":"text","text":"Now I also need to check what imports are used in schema.resolvers.go for `slices`."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1278,"cache_read_input_tokens":42587,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1278},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrWL8YsY2mh2P9Umbrn","type":"assistant","uuid":"0f1b9ee5-2cb5-4980-bb29-d87314ab125f","timestamp":"2026-03-20T06:25:02.434Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"0f1b9ee5-2cb5-4980-bb29-d87314ab125f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01CVo3cc3tE7JDX3SHTzjGna","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KiyaEuHLTyknWy9vjQXfVd","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","limit":20},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1278,"cache_read_input_tokens":42587,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1278},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrWL8YsY2mh2P9Umbrn","type":"assistant","uuid":"f07e168a-f320-4a9c-ada9-ee160e138c4f","timestamp":"2026-03-20T06:25:02.769Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"f07e168a-f320-4a9c-ada9-ee160e138c4f","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01KiyaEuHLTyknWy9vjQXfVd","toolUseID":"toolu_01KiyaEuHLTyknWy9vjQXfVd","timestamp":"2026-03-20T06:25:02.775Z","uuid":"06a34764-ffbb-4edf-9ab0-9664ce0fceeb","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"f07e168a-f320-4a9c-ada9-ee160e138c4f","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KiyaEuHLTyknWy9vjQXfVd","type":"tool_result","content":"     1→package graph\n     2→\n     3→// This file will be automatically regenerated based on the schema, any resolver\n     4→// implementations\n     5→// will be copied through when generating and any unknown code will be moved to the end.\n     6→// Code generated by github.com/99designs/gqlgen version v0.17.88\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"errors\"\n    11→\t\"fmt\"\n    12→\t\"math\"\n    13→\t\"regexp\"\n    14→\t\"slices\"\n    15→\t\"strconv\"\n    16→\t\"strings\"\n    17→\t\"time\"\n    18→\n    19→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    20→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\""}]},"uuid":"3db7b05a-c91e-432e-bc53-04acd2fc0a38","timestamp":"2026-03-20T06:25:02.775Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","content":"package graph\n\n// This file will be automatically regenerated based on the schema, any resolver\n// implementations\n// will be copied through when generating and any unknown code will be moved to the end.\n// Code generated by github.com/99designs/gqlgen version v0.17.88\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"math\"\n\t\"regexp\"\n\t\"slices\"\n\t\"strconv\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"","numLines":20,"startLine":1,"totalLines":1090}},"sourceToolAssistantUUID":"f07e168a-f320-4a9c-ada9-ee160e138c4f","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"3db7b05a-c91e-432e-bc53-04acd2fc0a38","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01SKR6BBCgX2ohpgsycwALPH","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me check if `slices` is used elsewhere in this file."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":351,"cache_read_input_tokens":43865,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":351},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrWb7xCiyEuBSzyP11Q","type":"assistant","uuid":"778b9c31-8190-4ecc-a852-fef27dd5a060","timestamp":"2026-03-20T06:25:05.230Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"778b9c31-8190-4ecc-a852-fef27dd5a060","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01SKR6BBCgX2ohpgsycwALPH","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BuNeg3Z6MUYB7q2kGpoUYp","name":"Grep","input":{"pattern":"slices\\.","path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","output_mode":"content"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":351,"cache_read_input_tokens":43865,"output_tokens":134,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":351,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDrWb7xCiyEuBSzyP11Q","type":"assistant","uuid":"984244ab-e897-4ffb-a611-477aae1ae35f","timestamp":"2026-03-20T06:25:06.204Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"984244ab-e897-4ffb-a611-477aae1ae35f","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01BuNeg3Z6MUYB7q2kGpoUYp","toolUseID":"toolu_01BuNeg3Z6MUYB7q2kGpoUYp","timestamp":"2026-03-20T06:25:06.226Z","uuid":"382cc521-05a4-4e5b-925b-3408da3754c5","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"984244ab-e897-4ffb-a611-477aae1ae35f","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BuNeg3Z6MUYB7q2kGpoUYp","type":"tool_result","content":"514:\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n837:\t\tmetrics = slices.DeleteFunc(metrics, func(metric string) bool {\n838:\t\t\treturn !slices.Contains(defaultMetrics, metric) // Remove undefined metrics.\n889:\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)"}]},"uuid":"a790069e-5d54-46c3-9843-379896c32d04","timestamp":"2026-03-20T06:25:06.226Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"514:\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n837:\t\tmetrics = slices.DeleteFunc(metrics, func(metric string) bool {\n838:\t\t\treturn !slices.Contains(defaultMetrics, metric) // Remove undefined metrics.\n889:\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)","numLines":4},"sourceToolAssistantUUID":"984244ab-e897-4ffb-a611-477aae1ae35f","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package config implements the program configuration data structures, validation and parsing\npackage config\n\nimport (\n\t\"bytes\"\n\t\"encoding/json\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n)\n\ntype ProgramConfig struct {\n\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n\tAddr string `json:\"addr\"`\n\n\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n\n\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n\n\t// Drop root permissions once .env was read and the port was taken.\n\tUser  string `json:\"user\"`\n\tGroup string `json:\"group\"`\n\n\t// Disable authentication (for everything: API, Web-UI, ...)\n\tDisableAuthentication bool `json:\"disable-authentication\"`\n\n\t// If `embed-static-files` is true (default), the frontend files are directly\n\t// embeded into the go binary and expected to be in web/frontend. Only if\n\t// it is false the files in `static-files` are served instead.\n\tEmbedStaticFiles bool   `json:\"embed-static-files\"`\n\tStaticFiles      string `json:\"static-files\"`\n\n\t// Path to SQLite database file\n\tDB string `json:\"db\"`\n\n\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n\n\t// Validate json input against schema\n\tValidate bool `json:\"validate\"`\n\n\t// If 0 or empty, the session does not expire!\n\tSessionMaxAge string `json:\"session-max-age\"`\n\n\t// If both those options are not empty, use HTTPS using those certificates.\n\tHTTPSCertFile string `json:\"https-cert-file\"`\n\tHTTPSKeyFile  string `json:\"https-key-file\"`\n\n\t// If not the empty string and `addr` does not end in \":80\",\n\t// redirect every request incoming at port 80 to that url.\n\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n\n\t// Where to store MachineState files\n\tMachineStateDir string `json:\"machine-state-dir\"`\n\n\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n\n\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n\n\t// Energy Mix CO2 Emission Constant [g/kWh]\n\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n\tEmissionConstant int `json:\"emission-constant\"`\n\n\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n\tEnableResampling *ResampleConfig `json:\"resampling\"`\n\n\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n\tSystemdUnit string `json:\"systemd-unit\"`\n\n\t// Node state retention configuration\n\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n\n\t// Database tuning configuration\n\tDbConfig *DbConfig `json:\"db-config\"`\n}\n\ntype DbConfig struct {\n\tCacheSizeMB               int `json:\"cache-size-mb\"`\n\tSoftHeapLimitMB           int `json:\"soft-heap-limit-mb\"`\n\tMaxOpenConnections        int `json:\"max-open-connections\"`\n\tMaxIdleConnections        int `json:\"max-idle-connections\"`\n\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n\tBusyTimeoutMs             int `json:\"busy-timeout-ms\"`\n}\n\ntype NodeStateRetention struct {\n\tPolicy             string `json:\"policy\"`      // \"delete\" or \"move\"\n\tAge                int    `json:\"age\"`         // hours, default 24\n\tTargetKind         string `json:\"target-kind\"` // \"file\" or \"s3\"\n\tTargetPath         string `json:\"target-path\"`\n\tTargetEndpoint     string `json:\"target-endpoint\"`\n\tTargetBucket       string `json:\"target-bucket\"`\n\tTargetAccessKey    string `json:\"target-access-key\"`\n\tTargetSecretKey    string `json:\"target-secret-key\"`\n\tTargetRegion       string `json:\"target-region\"`\n\tTargetUsePathStyle bool   `json:\"target-use-path-style\"`\n\tMaxFileSizeMB      int    `json:\"max-file-size-mb\"`\n}\n\ntype ResampleConfig struct {\n\t// Minimum number of points to trigger resampling of data\n\tMinimumPoints int `json:\"minimum-points\"`\n\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n\tResolutions []int `json:\"resolutions\"`\n\t// Trigger next zoom level at less than this many visible datapoints\n\tTrigger int `json:\"trigger\"`\n\t// Policy-derived target point count (set dynamically from user preference, not from config.json)\n\tTargetPoints int `json:\"targetPoints,omitempty\"`\n}\n\ntype NATSConfig struct {\n\tSubjectJobEvent  string `json:\"subject-job-event\"`\n\tSubjectNodeState string `json:\"subject-node-state\"`\n\tJobConcurrency   int    `json:\"job-concurrency\"`\n\tNodeConcurrency  int    `json:\"node-concurrency\"`\n}\n\ntype IntRange struct {\n\tFrom int `json:\"from\"`\n\tTo   int `json:\"to\"`\n}\n\ntype TimeRange struct {\n\tFrom  *time.Time `json:\"from\"`\n\tTo    *time.Time `json:\"to\"`\n\tRange string     `json:\"range,omitempty\"`\n}\n\ntype FilterRanges struct {\n\tDuration  *IntRange  `json:\"duration\"`\n\tNumNodes  *IntRange  `json:\"num-nodes\"`\n\tStartTime *TimeRange `json:\"start-time\"`\n}\n\nvar Keys ProgramConfig = ProgramConfig{\n\tAddr:                      \"localhost:8080\",\n\tEmbedStaticFiles:          true,\n\tDB:                        \"./var/job.db\",\n\tSessionMaxAge:             \"168h\",\n\tStopJobsExceedingWalltime: 0,\n\tShortRunningJobsDuration:  5 * 60,\n}\n\nfunc Init(mainConfig json.RawMessage) {\n\tValidate(configSchema, mainConfig)\n\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&Keys); err != nil {\n\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n\t}\n\n\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n\t}\n}\n","structuredPatch":[{"oldStart":108,"oldLines":10,"newStart":108,"newLines":10,"lines":[" type ResampleConfig struct {","   // Minimum number of points to trigger resampling of data","   MinimumPoints int `json:\"minimum-points\"`","-  // Array of resampling target resolutions, in seconds; Example: [600,300,60]","-  Resolutions []int `json:\"resolutions\"`","-  // Trigger next zoom level at less than this many visible datapoints","-  Trigger int `json:\"trigger\"`","+  // Default resample policy when no user preference is set (\"low\", \"medium\", \"high\")","+  DefaultPolicy string `json:\"default-policy\"`","+  // Default resample algorithm when no user preference is set (\"lttb\", \"average\", \"simple\")","+  DefaultAlgo string `json:\"default-algo\"`","   // Policy-derived target point count (set dynamically from user preference, not from config.json)","   TargetPoints int `json:\"targetPoints,omitempty\"`"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"cf6a8c24-2d5f-4bed-978d-805ae945f759","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage config\n\nvar configSchema = `\n{\n  \"type\": \"object\",\n  \"properties\": {\n    \"addr\": {\n      \"description\": \"Address where the http (or https) server will listen on (for example: 'localhost:80').\",\n      \"type\": \"string\"\n    },\n    \"api-allowed-ips\": {\n      \"description\": \"Addresses from which secured API endpoints can be reached\",\n      \"type\": \"array\",\n      \"items\": {\n        \"type\": \"string\"\n      }\n    },\n    \"user\": {\n      \"description\": \"Drop root permissions once .env was read and the port was taken. Only applicable if using privileged port.\",\n      \"type\": \"string\"\n    },\n    \"group\": {\n      \"description\": \"Drop root permissions once .env was read and the port was taken. Only applicable if using privileged port.\",\n      \"type\": \"string\"\n    },\n    \"disable-authentication\": {\n      \"description\": \"Disable authentication (for everything: API, Web-UI, ...).\",\n      \"type\": \"boolean\"\n    },\n    \"embed-static-files\": {\n      \"description\": \"If all files in web/frontend/public should be served from within the binary itself (they are embedded) or not.\",\n      \"type\": \"boolean\"\n    },\n    \"static-files\": {\n      \"description\": \"Folder where static assets can be found, if embed-static-files is false.\",\n      \"type\": \"string\"\n    },\n    \"db\": {\n      \"description\": \"Path to SQLite database file (e.g., './var/job.db')\",\n      \"type\": \"string\"\n    },\n    \"enable-job-taggers\": {\n      \"description\": \"Turn on automatic application and jobclass taggers\",\n      \"type\": \"boolean\"\n    },\n    \"validate\": {\n      \"description\": \"Validate all input json documents against json schema.\",\n      \"type\": \"boolean\"\n    },\n    \"session-max-age\": {\n      \"description\": \"Specifies for how long a session shall be valid  as a string parsable by time.ParseDuration(). If 0 or empty, the session/token does not expire!\",\n      \"type\": \"string\"\n    },\n    \"https-cert-file\": {\n      \"description\": \"Filepath to SSL certificate. If also https-key-file is set use HTTPS using those certificates.\",\n      \"type\": \"string\"\n    },\n    \"https-key-file\": {\n      \"description\": \"Filepath to SSL key file. If also https-cert-file is set use HTTPS using those certificates.\",\n      \"type\": \"string\"\n    },\n    \"redirect-http-to\": {\n      \"description\": \"If not the empty string and addr does not end in :80, redirect every request incoming at port 80 to that url.\",\n      \"type\": \"string\"\n    },\n    \"stop-jobs-exceeding-walltime\": {\n      \"description\": \"If not zero, automatically mark jobs as stopped running X seconds longer than their walltime. Only applies if walltime is set for job.\",\n      \"type\": \"integer\"\n    },\n    \"short-running-jobs-duration\": {\n      \"description\": \"Do not show running jobs shorter than X seconds.\",\n      \"type\": \"integer\"\n    },\n    \"emission-constant\": {\n      \"description\": \"Energy mix CO2 emission constant [g/kWh]. If set, displays estimated CO2 emission for jobs.\",\n      \"type\": \"integer\"\n    },\n    \"machine-state-dir\": {\n      \"description\": \"Where to store MachineState files.\",\n      \"type\": \"string\"\n    },\n    \"systemd-unit\": {\n      \"description\": \"Systemd unit name for log viewer (default: 'clustercockpit').\",\n      \"type\": \"string\"\n    },\n    \"resampling\": {\n      \"description\": \"Enable dynamic zoom in frontend metric plots.\",\n      \"type\": \"object\",\n      \"properties\": {\n        \"minimum-points\": {\n          \"description\": \"Minimum points to trigger resampling of time-series data.\",\n          \"type\": \"integer\"\n        },\n        \"trigger\": {\n          \"description\": \"Trigger next zoom level at less than this many visible datapoints.\",\n          \"type\": \"integer\"\n        },\n        \"resolutions\": {\n          \"description\": \"Array of resampling target resolutions, in seconds.\",\n          \"type\": \"array\",\n          \"items\": {\n            \"type\": \"integer\"\n          }\n        }\n      },\n      \"required\": [\"trigger\", \"resolutions\"]\n    },\n    \"api-subjects\": {\n      \"description\": \"NATS subjects configuration for subscribing to job and node events.\",\n      \"type\": \"object\",\n      \"properties\": {\n        \"subject-job-event\": {\n          \"description\": \"NATS subject for job events (start_job, stop_job)\",\n          \"type\": \"string\"\n        },\n        \"subject-node-state\": {\n          \"description\": \"NATS subject for node state updates\",\n          \"type\": \"string\"\n        },\n        \"job-concurrency\": {\n          \"description\": \"Number of concurrent worker goroutines for processing job events (default: 8).\",\n          \"type\": \"integer\"\n        },\n        \"node-concurrency\": {\n          \"description\": \"Number of concurrent worker goroutines for processing node state events (default: 2).\",\n          \"type\": \"integer\"\n        }\n      },\n      \"required\": [\"subject-job-event\", \"subject-node-state\"]\n    },\n    \"nodestate-retention\": {\n      \"description\": \"Node state retention configuration for cleaning up old node_state rows.\",\n      \"type\": \"object\",\n      \"properties\": {\n        \"policy\": {\n          \"description\": \"Retention policy: 'delete' to remove old rows, 'move' to archive to Parquet then delete.\",\n          \"type\": \"string\",\n          \"enum\": [\"delete\", \"move\"]\n        },\n        \"age\": {\n          \"description\": \"Retention age in hours (default: 24).\",\n          \"type\": \"integer\"\n        },\n        \"target-kind\": {\n          \"description\": \"Target kind for parquet archiving: 'file' or 's3'.\",\n          \"type\": \"string\",\n          \"enum\": [\"file\", \"s3\"]\n        },\n        \"target-path\": {\n          \"description\": \"Filesystem path for parquet file target.\",\n          \"type\": \"string\"\n        },\n        \"target-endpoint\": {\n          \"description\": \"S3 endpoint URL.\",\n          \"type\": \"string\"\n        },\n        \"target-bucket\": {\n          \"description\": \"S3 bucket name.\",\n          \"type\": \"string\"\n        },\n        \"target-access-key\": {\n          \"description\": \"S3 access key.\",\n          \"type\": \"string\"\n        },\n        \"target-secret-key\": {\n          \"description\": \"S3 secret key.\",\n          \"type\": \"string\"\n        },\n        \"target-region\": {\n          \"description\": \"S3 region.\",\n          \"type\": \"string\"\n        },\n        \"target-use-path-style\": {\n          \"description\": \"Use path-style S3 addressing.\",\n          \"type\": \"boolean\"\n        },\n        \"max-file-size-mb\": {\n          \"description\": \"Maximum parquet file size in MB (default: 128).\",\n          \"type\": \"integer\"\n        }\n      },\n      \"required\": [\"policy\"]\n    },\n    \"db-config\": {\n      \"description\": \"SQLite database tuning configuration.\",\n      \"type\": \"object\",\n      \"properties\": {\n        \"cache-size-mb\": {\n          \"description\": \"SQLite page cache size per connection in MB (default: 2048).\",\n          \"type\": \"integer\"\n        },\n        \"soft-heap-limit-mb\": {\n          \"description\": \"Process-wide SQLite soft heap limit in MB (default: 16384).\",\n          \"type\": \"integer\"\n        },\n        \"max-open-connections\": {\n          \"description\": \"Maximum number of open database connections (default: 4).\",\n          \"type\": \"integer\"\n        },\n        \"max-idle-connections\": {\n          \"description\": \"Maximum number of idle database connections (default: 4).\",\n          \"type\": \"integer\"\n        },\n        \"max-idle-time-minutes\": {\n          \"description\": \"Maximum idle time for a connection in minutes (default: 10).\",\n          \"type\": \"integer\"\n        },\n        \"busy-timeout-ms\": {\n          \"description\": \"SQLite busy timeout in milliseconds. When a write is blocked, SQLite retries with backoff for up to this duration before returning SQLITE_BUSY (default: 60000).\",\n          \"type\": \"integer\"\n        }\n      }\n    }\n  }\n}`\n","structuredPatch":[{"oldStart":96,"oldLines":19,"newStart":96,"newLines":17,"lines":["           \"description\": \"Minimum points to trigger resampling of time-series data.\",","           \"type\": \"integer\"","         },","-        \"trigger\": {","-          \"description\": \"Trigger next zoom level at less than this many visible datapoints.\",","-          \"type\": \"integer\"","+        \"default-policy\": {","+          \"description\": \"Default resample policy when no user preference is set.\",","+          \"type\": \"string\",","+          \"enum\": [\"low\", \"medium\", \"high\"]","         },","-        \"resolutions\": {","-          \"description\": \"Array of resampling target resolutions, in seconds.\",","-          \"type\": \"array\",","-          \"items\": {","-            \"type\": \"integer\"","-          }","+        \"default-algo\": {","+          \"description\": \"Default resample algorithm when no user preference is set.\",","+          \"type\": \"string\",","+          \"enum\": [\"lttb\", \"average\", \"simple\"]","         }","-      },","-      \"required\": [\"trigger\", \"resolutions\"]","+      }","     },","     \"api-subjects\": {","       \"description\": \"NATS subjects configuration for subscribing to job and node events.\","]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"36525ed4-f935-4afd-bec2-ba15273be00a","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage routerConfig\n\nimport (\n\t\"fmt\"\n\t\"net/http\"\n\t\"net/url\"\n\t\"os\"\n\t\"strconv\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/web\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t\"github.com/go-chi/chi/v5\"\n)\n\ntype InfoType map[string]any\n\ntype Route struct {\n\tRoute    string\n\tTemplate string\n\tTitle    string\n\tFilter   bool\n\tSetup    func(i InfoType, r *http.Request) InfoType\n}\n\nvar routes []Route = []Route{\n\t{\"/\", \"home.tmpl\", \"ClusterCockpit\", false, setupHomeRoute},\n\t{\"/config\", \"config.tmpl\", \"Settings\", false, setupConfigRoute},\n\t{\"/monitoring/jobs/\", \"monitoring/jobs.tmpl\", \"Jobs - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { return i }},\n\t{\"/monitoring/job/{id:[0-9]+}\", \"monitoring/job.tmpl\", \"Job <ID> - ClusterCockpit\", false, setupJobRoute},\n\t{\"/monitoring/users/\", \"monitoring/list.tmpl\", \"Users - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { i[\"listType\"] = \"USER\"; return i }},\n\t{\"/monitoring/projects/\", \"monitoring/list.tmpl\", \"Projects - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { i[\"listType\"] = \"PROJECT\"; return i }},\n\t{\"/monitoring/tags/\", \"monitoring/taglist.tmpl\", \"Tags - ClusterCockpit\", false, setupTaglistRoute},\n\t{\"/monitoring/user/{id}\", \"monitoring/user.tmpl\", \"User <ID> - ClusterCockpit\", true, setupUserRoute},\n\t{\"/monitoring/systems/{cluster}\", \"monitoring/systems.tmpl\", \"Cluster <ID> Node Overview - ClusterCockpit\", false, setupClusterOverviewRoute},\n\t{\"/monitoring/systems/list/{cluster}\", \"monitoring/systems.tmpl\", \"Cluster <ID> Node List - ClusterCockpit\", false, setupClusterListRoute},\n\t{\"/monitoring/systems/list/{cluster}/{subcluster}\", \"monitoring/systems.tmpl\", \"Cluster <ID> <SID> Node List - ClusterCockpit\", false, setupClusterListRoute},\n\t{\"/monitoring/node/{cluster}/{hostname}\", \"monitoring/node.tmpl\", \"Node <ID> - ClusterCockpit\", false, setupNodeRoute},\n\t{\"/monitoring/analysis/{cluster}\", \"monitoring/analysis.tmpl\", \"Analysis - ClusterCockpit\", true, setupAnalysisRoute},\n\t{\"/monitoring/status/{cluster}\", \"monitoring/status.tmpl\", \"<ID> Dashboard - ClusterCockpit\", false, setupClusterStatusRoute},\n\t{\"/monitoring/status/detail/{cluster}\", \"monitoring/status.tmpl\", \"Status of <ID> - ClusterCockpit\", false, setupClusterDetailRoute},\n\t{\"/monitoring/dashboard/{cluster}\", \"monitoring/dashboard.tmpl\", \"<ID> Dashboard - ClusterCockpit\", false, setupDashboardRoute},\n\t{\"/monitoring/logs\", \"monitoring/logs.tmpl\", \"Logs - ClusterCockpit\", false, func(i InfoType, r *http.Request) InfoType { return i }},\n}\n\nfunc setupHomeRoute(i InfoType, r *http.Request) InfoType {\n\tjobRepo := repository.GetJobRepository()\n\tgroupBy := model.AggregateCluster\n\n\t// startJobCount := time.Now()\n\tstats, err := jobRepo.JobCountGrouped(r.Context(), nil, &groupBy)\n\tif err != nil {\n\t\tcclog.Warnf(\"failed to count jobs: %s\", err.Error())\n\t}\n\t// cclog.Infof(\"Timer HOME ROUTE startJobCount: %s\", time.Since(startJobCount))\n\n\t// startRunningJobCount := time.Now()\n\tstats, err = jobRepo.AddJobCountGrouped(r.Context(), nil, &groupBy, stats, \"running\")\n\tif err != nil {\n\t\tcclog.Warnf(\"failed to count running jobs: %s\", err.Error())\n\t}\n\t// cclog.Infof(\"Timer HOME ROUTE startRunningJobCount: %s\", time.Since(startRunningJobCount))\n\n\ti[\"clusters\"] = stats\n\n\tif util.CheckFileExists(\"./var/notice.txt\") {\n\t\tmsg, err := os.ReadFile(\"./var/notice.txt\")\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"failed to read notice.txt file: %s\", err.Error())\n\t\t} else {\n\t\t\ti[\"message\"] = string(msg)\n\t\t}\n\t}\n\n\treturn i\n}\n\nfunc setupConfigRoute(i InfoType, r *http.Request) InfoType {\n\tif util.CheckFileExists(\"./var/notice.txt\") {\n\t\tmsg, err := os.ReadFile(\"./var/notice.txt\")\n\t\tif err == nil {\n\t\t\ti[\"ncontent\"] = string(msg)\n\t\t}\n\t}\n\n\treturn i\n}\n\nfunc setupJobRoute(i InfoType, r *http.Request) InfoType {\n\ti[\"id\"] = chi.URLParam(r, \"id\")\n\tif config.Keys.EmissionConstant != 0 {\n\t\ti[\"emission\"] = config.Keys.EmissionConstant\n\t}\n\treturn i\n}\n\nfunc setupUserRoute(i InfoType, r *http.Request) InfoType {\n\tusername := chi.URLParam(r, \"id\")\n\ti[\"id\"] = username\n\ti[\"username\"] = username\n\t// TODO: If forbidden (== err exists), redirect to error page\n\tif user, _ := repository.GetUserRepository().FetchUserInCtx(r.Context(), username); user != nil {\n\t\ti[\"name\"] = user.Name\n\t\ti[\"email\"] = user.Email\n\t}\n\treturn i\n}\n\nfunc setupClusterStatusRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\ti[\"id\"] = cluster\n\ti[\"cluster\"] = cluster\n\ti[\"displayType\"] = \"DASHBOARD\"\n\treturn i\n}\n\nfunc setupClusterDetailRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\ti[\"id\"] = cluster\n\ti[\"cluster\"] = cluster\n\ti[\"displayType\"] = \"DETAILS\"\n\treturn i\n}\n\nfunc setupDashboardRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\ti[\"id\"] = cluster\n\ti[\"cluster\"] = cluster\n\ti[\"displayType\"] = \"PUBLIC\" // Used in Main Template\n\treturn i\n}\n\nfunc setupClusterOverviewRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\ti[\"id\"] = cluster\n\ti[\"cluster\"] = cluster\n\ti[\"displayType\"] = \"OVERVIEW\"\n\n\tfrom, to := r.URL.Query().Get(\"from\"), r.URL.Query().Get(\"to\")\n\tif from != \"\" || to != \"\" {\n\t\ti[\"from\"] = from\n\t\ti[\"to\"] = to\n\t}\n\treturn i\n}\n\nfunc setupClusterListRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\tsubcluster := chi.URLParam(r, \"subcluster\")\n\ti[\"id\"] = cluster\n\ti[\"cluster\"] = cluster\n\ti[\"sid\"] = subcluster\n\ti[\"subCluster\"] = subcluster\n\ti[\"displayType\"] = \"LIST\"\n\n\tfrom, to := r.URL.Query().Get(\"from\"), r.URL.Query().Get(\"to\")\n\tif from != \"\" || to != \"\" {\n\t\ti[\"from\"] = from\n\t\ti[\"to\"] = to\n\t}\n\treturn i\n}\n\nfunc setupNodeRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\thostname := chi.URLParam(r, \"hostname\")\n\ti[\"cluster\"] = cluster\n\ti[\"hostname\"] = hostname\n\ti[\"id\"] = fmt.Sprintf(\"%s (%s)\", cluster, hostname)\n\tfrom, to := r.URL.Query().Get(\"from\"), r.URL.Query().Get(\"to\")\n\tif from != \"\" && to != \"\" {\n\t\ti[\"from\"] = from\n\t\ti[\"to\"] = to\n\t}\n\treturn i\n}\n\nfunc setupAnalysisRoute(i InfoType, r *http.Request) InfoType {\n\ti[\"cluster\"] = chi.URLParam(r, \"cluster\")\n\treturn i\n}\n\nfunc setupTaglistRoute(i InfoType, r *http.Request) InfoType {\n\tjobRepo := repository.GetJobRepository()\n\ttags, counts, err := jobRepo.CountTags(repository.GetUserFromContext(r.Context()))\n\ttagMap := make(map[string][]map[string]any)\n\tif err != nil {\n\t\tcclog.Warnf(\"GetTags failed: %s\", err.Error())\n\t\ti[\"tagmap\"] = tagMap\n\t\treturn i\n\t}\n\t// Reduces displayed tags for unauth'd users\n\tuserAuthlevel := repository.GetUserFromContext(r.Context()).GetAuthLevel()\n\t// Uses tag.ID as second Map-Key component to differentiate tags with identical names\n\tif userAuthlevel >= 4 { // Support+ : Show tags for all scopes, regardless of count\n\t\tfor _, tag := range tags {\n\t\t\ttagItem := map[string]any{\n\t\t\t\t\"id\":    tag.ID,\n\t\t\t\t\"name\":  tag.Name,\n\t\t\t\t\"scope\": tag.Scope,\n\t\t\t\t\"count\": counts[fmt.Sprint(tag.Type, tag.Name, tag.ID)],\n\t\t\t}\n\t\t\ttagMap[tag.Type] = append(tagMap[tag.Type], tagItem)\n\t\t}\n\t} else if userAuthlevel < 4 && userAuthlevel >= 2 { // User+ : Show global and admin scope only if at least 1 tag used, private scope regardless of count\n\t\tfor _, tag := range tags {\n\t\t\ttagCount := counts[fmt.Sprint(tag.Type, tag.Name, tag.ID)]\n\t\t\tif ((tag.Scope == \"global\" || tag.Scope == \"admin\") && tagCount >= 1) || (tag.Scope != \"global\" && tag.Scope != \"admin\") {\n\t\t\t\ttagItem := map[string]any{\n\t\t\t\t\t\"id\":    tag.ID,\n\t\t\t\t\t\"name\":  tag.Name,\n\t\t\t\t\t\"scope\": tag.Scope,\n\t\t\t\t\t\"count\": tagCount,\n\t\t\t\t}\n\t\t\t\ttagMap[tag.Type] = append(tagMap[tag.Type], tagItem)\n\t\t\t}\n\t\t}\n\t} // auth < 2 return nothing for this route\n\n\ti[\"tagmap\"] = tagMap\n\treturn i\n}\n\n// FIXME: Lots of redundant code. Needs refactoring\nfunc buildFilterPresets(query url.Values) map[string]any {\n\tfilterPresets := map[string]any{}\n\n\tif query.Get(\"cluster\") != \"\" {\n\t\tfilterPresets[\"cluster\"] = query.Get(\"cluster\")\n\t}\n\tif query.Get(\"partition\") != \"\" {\n\t\tfilterPresets[\"partition\"] = query.Get(\"partition\")\n\t}\n\tif query.Get(\"project\") != \"\" {\n\t\tfilterPresets[\"project\"] = query.Get(\"project\")\n\t\tfilterPresets[\"projectMatch\"] = \"eq\"\n\t}\n\tif query.Get(\"jobName\") != \"\" {\n\t\tfilterPresets[\"jobName\"] = query.Get(\"jobName\")\n\t}\n\tif len(query[\"user\"]) != 0 {\n\t\tif len(query[\"user\"]) == 1 {\n\t\t\tfilterPresets[\"user\"] = query.Get(\"user\")\n\t\t\tfilterPresets[\"userMatch\"] = \"contains\"\n\t\t} else {\n\t\t\tfilterPresets[\"user\"] = query[\"user\"]\n\t\t\tfilterPresets[\"userMatch\"] = \"in\"\n\t\t}\n\t}\n\tif len(query[\"state\"]) != 0 {\n\t\tfilterPresets[\"state\"] = query[\"state\"]\n\t}\n\tif query.Get(\"shared\") != \"\" {\n\t\tfilterPresets[\"shared\"] = query.Get(\"shared\")\n\t}\n\tif query.Get(\"schedule\") != \"\" {\n\t\tfilterPresets[\"schedule\"] = query.Get(\"schedule\")\n\t}\n\tif rawtags, ok := query[\"tag\"]; ok {\n\t\ttags := make([]int, len(rawtags))\n\t\tfor i, tid := range rawtags {\n\t\t\tvar err error\n\t\t\ttags[i], err = strconv.Atoi(tid)\n\t\t\tif err != nil {\n\t\t\t\ttags[i] = -1\n\t\t\t}\n\t\t}\n\t\tfilterPresets[\"tags\"] = tags\n\t}\n\tif query.Get(\"duration\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"duration\"), \"-\")\n\t\tif len(parts) == 2 {\n\t\t\tif parts[0] == \"lessthan\" {\n\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n\t\t\t\tif lte == nil {\n\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"lessThan\": lt, \"from\": 0, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else if parts[0] == \"morethan\" {\n\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n\t\t\t\tif mte == nil {\n\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"moreThan\": mt, \"from\": 0, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"from\": a, \"to\": b}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tif query.Get(\"node\") != \"\" {\n\t\tfilterPresets[\"node\"] = query.Get(\"node\")\n\t}\n\tif query.Get(\"numNodes\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"numNodes\"), \"-\")\n\t\tif len(parts) == 2 {\n\t\t\tif parts[0] == \"lessthan\" {\n\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n\t\t\t\tif lte == nil {\n\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": 1, \"to\": lt}\n\t\t\t\t}\n\t\t\t} else if parts[0] == \"morethan\" {\n\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n\t\t\t\tif mte == nil {\n\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": mt, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": a, \"to\": b}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tif query.Get(\"numHWThreads\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"numHWThreads\"), \"-\")\n\t\tif len(parts) == 2 {\n\t\t\tif parts[0] == \"lessthan\" {\n\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n\t\t\t\tif lte == nil {\n\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": 1, \"to\": lt}\n\t\t\t\t}\n\t\t\t} else if parts[0] == \"morethan\" {\n\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n\t\t\t\tif mte == nil {\n\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": mt, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": a, \"to\": b}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tif query.Get(\"numAccelerators\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"numAccelerators\"), \"-\")\n\t\tif len(parts) == 2 {\n\t\t\tif parts[0] == \"lessthan\" {\n\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n\t\t\t\tif lte == nil {\n\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": 1, \"to\": lt}\n\t\t\t\t}\n\t\t\t} else if parts[0] == \"morethan\" {\n\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n\t\t\t\tif mte == nil {\n\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": mt, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": a, \"to\": b}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tif len(query[\"dbId\"]) != 0 {\n\t\tfilterPresets[\"dbId\"] = query[\"dbId\"]\n\t}\n\tif query.Get(\"jobId\") != \"\" {\n\t\tif len(query[\"jobId\"]) == 1 {\n\t\t\tfilterPresets[\"jobId\"] = query.Get(\"jobId\")\n\t\t\tfilterPresets[\"jobIdMatch\"] = \"eq\"\n\t\t} else {\n\t\t\tfilterPresets[\"jobId\"] = query[\"jobId\"]\n\t\t\tfilterPresets[\"jobIdMatch\"] = \"in\"\n\t\t}\n\t}\n\tif query.Get(\"arrayJobId\") != \"\" {\n\t\tif num, err := strconv.Atoi(query.Get(\"arrayJobId\")); err == nil {\n\t\t\tfilterPresets[\"arrayJobId\"] = num\n\t\t}\n\t}\n\tif query.Get(\"startTime\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"startTime\"), \"-\")\n\t\tif len(parts) == 2 { // Time in seconds, from - to\n\t\t\ta, e1 := strconv.ParseInt(parts[0], 10, 64)\n\t\t\tb, e2 := strconv.ParseInt(parts[1], 10, 64)\n\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\tfilterPresets[\"startTime\"] = map[string]string{\n\t\t\t\t\t\"from\": time.Unix(a, 0).Format(time.RFC3339),\n\t\t\t\t\t\"to\":   time.Unix(b, 0).Format(time.RFC3339),\n\t\t\t\t}\n\t\t\t}\n\t\t} else { // named range\n\t\t\tfilterPresets[\"startTime\"] = map[string]string{\n\t\t\t\t\"range\": query.Get(\"startTime\"),\n\t\t\t}\n\t\t}\n\t}\n\tif query.Get(\"energy\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"energy\"), \"-\")\n\t\tif len(parts) == 2 {\n\t\t\tif parts[0] == \"lessthan\" {\n\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n\t\t\t\tif lte == nil {\n\t\t\t\t\tfilterPresets[\"energy\"] = map[string]int{\"from\": 1, \"to\": lt}\n\t\t\t\t}\n\t\t\t} else if parts[0] == \"morethan\" {\n\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n\t\t\t\tif mte == nil {\n\t\t\t\t\tfilterPresets[\"energy\"] = map[string]int{\"from\": mt, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\tfilterPresets[\"energy\"] = map[string]int{\"from\": a, \"to\": b}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tif len(query[\"stat\"]) != 0 {\n\t\tstatList := make([]map[string]any, 0)\n\t\tfor _, statEntry := range query[\"stat\"] {\n\t\t\tparts := strings.Split(statEntry, \"-\")\n\t\t\tif len(parts) == 3 { // Metric Footprint Stat Field, from - to\n\t\t\t\tif parts[1] == \"lessthan\" {\n\t\t\t\t\tlt, lte := strconv.ParseInt(parts[2], 10, 64)\n\t\t\t\t\tif lte == nil {\n\t\t\t\t\t\tstatEntry := map[string]any{\n\t\t\t\t\t\t\t\"field\": parts[0],\n\t\t\t\t\t\t\t\"from\":  1,\n\t\t\t\t\t\t\t\"to\":    lt,\n\t\t\t\t\t\t}\n\t\t\t\t\t\tstatList = append(statList, statEntry)\n\t\t\t\t\t}\n\t\t\t\t} else if parts[1] == \"morethan\" {\n\t\t\t\t\tmt, mte := strconv.ParseInt(parts[2], 10, 64)\n\t\t\t\t\tif mte == nil {\n\t\t\t\t\t\tstatEntry := map[string]any{\n\t\t\t\t\t\t\t\"field\": parts[0],\n\t\t\t\t\t\t\t\"from\":  mt,\n\t\t\t\t\t\t\t\"to\":    0,\n\t\t\t\t\t\t}\n\t\t\t\t\t\tstatList = append(statList, statEntry)\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\ta, e1 := strconv.ParseInt(parts[1], 10, 64)\n\t\t\t\t\tb, e2 := strconv.ParseInt(parts[2], 10, 64)\n\t\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\t\tstatEntry := map[string]any{\n\t\t\t\t\t\t\t\"field\": parts[0],\n\t\t\t\t\t\t\t\"from\":  a,\n\t\t\t\t\t\t\t\"to\":    b,\n\t\t\t\t\t\t}\n\t\t\t\t\t\tstatList = append(statList, statEntry)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\tfilterPresets[\"stats\"] = statList\n\t}\n\treturn filterPresets\n}\n\nfunc SetupRoutes(router chi.Router, buildInfo web.Build) {\n\tuserCfgRepo := repository.GetUserCfgRepo()\n\tfor _, route := range routes {\n\t\trouter.HandleFunc(route.Route, func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tconf, err := userCfgRepo.GetUIConfig(repository.GetUserFromContext(r.Context()))\n\t\t\tif err != nil {\n\t\t\t\thttp.Error(rw, err.Error(), http.StatusInternalServerError)\n\t\t\t\treturn\n\t\t\t}\n\n\t\t\ttitle := route.Title\n\t\t\tinfos := route.Setup(map[string]any{}, r)\n\t\t\tif id, ok := infos[\"id\"]; ok {\n\t\t\t\ttitle = strings.Replace(route.Title, \"<ID>\", id.(string), 1)\n\t\t\t\tif sid, ok := infos[\"sid\"]; ok { // 2nd ID element\n\t\t\t\t\ttitle = strings.Replace(title, \"<SID>\", sid.(string), 1)\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Get User -> What if NIL?\n\t\t\tuser := repository.GetUserFromContext(r.Context())\n\n\t\t\t// Get Roles\n\t\t\tavailableRoles, _ := schema.GetValidRolesMap(user)\n\n\t\t\tresampling := resamplingForUser(conf)\n\n\t\t\tpage := web.Page{\n\t\t\t\tTitle:      title,\n\t\t\t\tUser:       *user,\n\t\t\t\tRoles:      availableRoles,\n\t\t\t\tBuild:      buildInfo,\n\t\t\t\tConfig:     conf,\n\t\t\t\tResampling: resampling,\n\t\t\t\tInfos:      infos,\n\t\t\t}\n\n\t\t\tif route.Filter {\n\t\t\t\tpage.FilterPresets = buildFilterPresets(r.URL.Query())\n\t\t\t}\n\n\t\t\tweb.RenderTemplate(rw, route.Template, &page)\n\t\t})\n\t}\n}\n\nfunc HandleSearchBar(rw http.ResponseWriter, r *http.Request, buildInfo web.Build) {\n\tuser := repository.GetUserFromContext(r.Context())\n\tavailableRoles, _ := schema.GetValidRolesMap(user)\n\n\tif search := r.URL.Query().Get(\"searchId\"); search != \"\" {\n\t\trepo := repository.GetJobRepository()\n\t\tsplitSearch := strings.Split(search, \":\")\n\n\t\tif len(splitSearch) == 2 {\n\t\t\tswitch strings.Trim(splitSearch[0], \" \") {\n\t\t\tcase \"jobId\":\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?jobId=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n\t\t\tcase \"jobName\":\n\t\t\t\t// Add Last 30 Days to migitate timeouts\n\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 10)\n\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&jobName=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n\t\t\tcase \"projectId\":\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?projectMatch=eq&project=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n\t\t\tcase \"arrayJobId\":\n\t\t\t\t// Add Last 30 Days to migitate timeouts\n\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 10)\n\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&arrayJobId=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n\t\t\tcase \"username\":\n\t\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \"))+\"&startTime=last30d\", http.StatusFound)\n\t\t\t\t} else {\n\t\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Error\", MsgType: \"alert-danger\", Message: \"Missing Access Rights\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t\t\t\t}\n\t\t\tcase \"name\":\n\t\t\t\tusernames, _ := repo.FindColumnValues(user, strings.Trim(splitSearch[1], \" \"), \"user\", \"username\", \"name\")\n\t\t\t\tif len(usernames) != 0 {\n\t\t\t\t\tjoinedNames := strings.Join(usernames, \"&user=\")\n\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=\"+joinedNames+\"&startTime=last30d\", http.StatusFound)\n\t\t\t\t} else {\n\t\t\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=NoUserNameFound&startTime=last30d\", http.StatusPermanentRedirect)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Error\", MsgType: \"alert-danger\", Message: \"Missing Access Rights\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\tdefault:\n\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Warning\", MsgType: \"alert-warning\", Message: fmt.Sprintf(\"Unknown search type: %s\", strings.Trim(splitSearch[0], \" \")), User: *user, Roles: availableRoles, Build: buildInfo})\n\t\t\t}\n\t\t} else if len(splitSearch) == 1 {\n\n\t\t\tjobid, username, project, jobname := repo.FindUserOrProjectOrJobname(user, strings.Trim(search, \" \"))\n\n\t\t\tif jobid != \"\" {\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?jobId=\"+url.QueryEscape(jobid), http.StatusFound) // JobId (Match)\n\t\t\t} else if username != \"\" {\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/user/\"+username, http.StatusFound) // User: Redirect to user page of first match\n\t\t\t} else if project != \"\" {\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?projectMatch=eq&project=\"+url.QueryEscape(project), http.StatusFound) // projectId (equal)\n\t\t\t} else if jobname != \"\" {\n\t\t\t\t// Add Last 30 Days to migitate timeouts\n\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 10)\n\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&jobName=\"+url.QueryEscape(jobname), http.StatusFound) // 30D Fitler + JobName (contains)\n\t\t\t} else {\n\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Info\", MsgType: \"alert-info\", Message: \"Search without result\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t\t\t}\n\n\t\t} else {\n\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Error\", MsgType: \"alert-danger\", Message: \"Searchbar query parameters malformed\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t\t}\n\t} else {\n\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Warning\", MsgType: \"alert-warning\", Message: \"Empty search\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t}\n}\n\n// resamplingForUser returns a ResampleConfig that incorporates the user's\n// resample policy preference. If the user has a policy set, it creates a\n// policy-derived config with targetPoints and trigger. Otherwise falls back\n// to the global config.\nfunc resamplingForUser(conf map[string]any) *config.ResampleConfig {\n\tglobalCfg := config.Keys.EnableResampling\n\n\tpolicyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]\n\tif !ok {\n\t\treturn globalCfg\n\t}\n\tpolicyStr, ok := policyVal.(string)\n\tif !ok || policyStr == \"\" {\n\t\treturn globalCfg\n\t}\n\n\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n\tif targetPoints == 0 {\n\t\treturn globalCfg\n\t}\n\n\t// Build a policy-derived config: targetPoints + trigger, no resolutions array\n\treturn &config.ResampleConfig{\n\t\tTargetPoints: targetPoints,\n\t\tTrigger:      targetPoints / 4,\n\t}\n}\n","structuredPatch":[{"oldStart":597,"oldLines":14,"newStart":597,"newLines":20,"lines":[" func resamplingForUser(conf map[string]any) *config.ResampleConfig {","   globalCfg := config.Keys.EnableResampling"," ","-  policyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]","-  if !ok {","-    return globalCfg","+  policyStr := \"\"","+  if policyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]; ok {","+    if s, ok := policyVal.(string); ok {","+      policyStr = s","+    }","   }","-  policyStr, ok := policyVal.(string)","-  if !ok || policyStr == \"\" {","-    return globalCfg","+","+  // Fall back to global default policy, then to \"medium\"","+  if policyStr == \"\" && globalCfg != nil {","+    policyStr = globalCfg.DefaultPolicy","   }","+  if policyStr == \"\" {","+    policyStr = \"medium\"","+  }"," ","   policy := metricdispatch.ResamplePolicy(policyStr)","   targetPoints := metricdispatch.TargetPointsForPolicy(policy)"]},{"oldStart":612,"oldLines":9,"newStart":618,"newLines":7,"lines":["     return globalCfg","   }"," ","-  // Build a policy-derived config: targetPoints + trigger, no resolutions array","   return &config.ResampleConfig{","     TargetPoints: targetPoints,","-    Trigger:      targetPoints / 4,","   }"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"0371ca5d-1566-43fa-9592-53e8258de7d2","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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algoName)","newString":"\tif resolution == nil {\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tresolution = resolveResolutionFromDefaultPolicy(int64(job.Duration), job.Cluster, metrics)\n\t\t}\n\t\tif resolution == nil {\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\talgoName := resolveResampleAlgo(ctx, resampleAlgo)\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution, algoName)","originalFile":"package graph\n\n// This file will be automatically regenerated based on the schema, any resolver\n// implementations\n// will be copied through when generating and any unknown code will be moved to the end.\n// Code generated by github.com/99designs/gqlgen version v0.17.88\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"math\"\n\t\"regexp\"\n\t\"slices\"\n\t\"strconv\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tccunit \"github.com/ClusterCockpit/cc-lib/v2/ccUnits\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Partitions is the resolver for the partitions field.\nfunc (r *clusterResolver) Partitions(ctx context.Context, obj *schema.Cluster) ([]string, error) {\n\treturn r.Repo.Partitions(obj.Name)\n}\n\n// StartTime is the resolver for the startTime field.\nfunc (r *jobResolver) StartTime(ctx context.Context, obj *schema.Job) (*time.Time, error) {\n\ttimestamp := time.Unix(obj.StartTime, 0)\n\treturn &timestamp, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *jobResolver) Tags(ctx context.Context, obj *schema.Job) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), obj.ID)\n}\n\n// ConcurrentJobs is the resolver for the concurrentJobs field.\nfunc (r *jobResolver) ConcurrentJobs(ctx context.Context, obj *schema.Job) (*model.JobLinkResultList, error) {\n\t// FIXME: Make the hardcoded duration configurable\n\tif obj.Shared != \"none\" && obj.Duration > 600 {\n\t\treturn r.Repo.FindConcurrentJobs(ctx, obj)\n\t}\n\n\treturn nil, nil\n}\n\n// Footprint is the resolver for the footprint field.\nfunc (r *jobResolver) Footprint(ctx context.Context, obj *schema.Job) ([]*model.FootprintValue, error) {\n\trawFootprint, err := r.Repo.FetchFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.FootprintValue{}\n\tfor name, value := range rawFootprint {\n\n\t\tparts := strings.Split(name, \"_\")\n\t\tstatPart := parts[len(parts)-1]\n\t\tnameParts := parts[:len(parts)-1]\n\n\t\tres = append(res, &model.FootprintValue{\n\t\t\tName:  strings.Join(nameParts, \"_\"),\n\t\t\tStat:  statPart,\n\t\t\tValue: value,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// EnergyFootprint is the resolver for the energyFootprint field.\nfunc (r *jobResolver) EnergyFootprint(ctx context.Context, obj *schema.Job) ([]*model.EnergyFootprintValue, error) {\n\trawEnergyFootprint, err := r.Repo.FetchEnergyFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job energy footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.EnergyFootprintValue{}\n\tfor name, value := range rawEnergyFootprint {\n\t\t// Suboptimal: Nearly hardcoded metric name expectations\n\t\tmatchCPU := regexp.MustCompile(`cpu|Cpu|CPU`)\n\t\tmatchAcc := regexp.MustCompile(`acc|Acc|ACC`)\n\t\tmatchMem := regexp.MustCompile(`mem|Mem|MEM`)\n\t\tmatchCore := regexp.MustCompile(`core|Core|CORE`)\n\n\t\thwType := \"\"\n\t\tswitch test := name; { // NOtice ';' for var declaration\n\t\tcase matchCPU.MatchString(test):\n\t\t\thwType = \"CPU\"\n\t\tcase matchAcc.MatchString(test):\n\t\t\thwType = \"Accelerator\"\n\t\tcase matchMem.MatchString(test):\n\t\t\thwType = \"Memory\"\n\t\tcase matchCore.MatchString(test):\n\t\t\thwType = \"Core\"\n\t\tdefault:\n\t\t\thwType = \"Other\"\n\t\t}\n\n\t\tres = append(res, &model.EnergyFootprintValue{\n\t\t\tHardware: hwType,\n\t\t\tMetric:   name,\n\t\t\tValue:    value,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *jobResolver) MetaData(ctx context.Context, obj *schema.Job) (any, error) {\n\treturn r.Repo.FetchMetadata(obj)\n}\n\n// UserData is the resolver for the userData field.\nfunc (r *jobResolver) UserData(ctx context.Context, obj *schema.Job) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, obj.User)\n}\n\n// Name is the resolver for the name field.\nfunc (r *metricValueResolver) Name(ctx context.Context, obj *schema.MetricValue) (*string, error) {\n\tpanic(fmt.Errorf(\"not implemented: Name - name\"))\n}\n\n// CreateTag is the resolver for the createTag field.\nfunc (r *mutationResolver) CreateTag(ctx context.Context, typeArg string, name string, scope string) (*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\tif user.HasRole(schema.RoleAdmin) && scope == \"admin\" ||\n\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && scope == \"global\" ||\n\t\tuser.Username == scope {\n\t\t// Create in DB\n\t\tid, err := r.Repo.CreateTag(typeArg, name, scope)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while creating tag\")\n\t\t\treturn nil, err\n\t\t}\n\t\treturn &schema.Tag{ID: id, Type: typeArg, Name: name, Scope: scope}, nil\n\t} else {\n\t\tcclog.Warnf(\"Not authorized to create tag with scope: %s\", scope)\n\t\treturn nil, fmt.Errorf(\"not authorized to create tag with scope: %s\", scope)\n\t}\n}\n\n// DeleteTag is the resolver for the deleteTag field.\nfunc (r *mutationResolver) DeleteTag(ctx context.Context, id string) (string, error) {\n\t// This Uses ID string <-> ID string, removeTagFromList uses []string <-> []int\n\tpanic(fmt.Errorf(\"not implemented: DeleteTag - deleteTag\"))\n}\n\n// AddTagsToJob is the resolver for the addTagsToJob field.\nfunc (r *mutationResolver) AddTagsToJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while adding tag to job\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Add to Job\n\t\t\tif tags, err = r.Repo.AddTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while adding tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to add tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to add tag: %d\", tid)\n\t\t}\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagsFromJob is the resolver for the removeTagsFromJob field.\nfunc (r *mutationResolver) RemoveTagsFromJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Remove from Job\n\t\t\tif tags, err = r.Repo.RemoveTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagFromList is the resolver for the removeTagFromList field.\nfunc (r *mutationResolver) RemoveTagFromList(ctx context.Context, tagIds []string) ([]int, error) {\n\t// Needs Contextuser\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\ttags := []int{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id for removal\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && (tscope == \"global\" || tscope == \"admin\") || user.Username == tscope {\n\t\t\t// Remove from DB\n\t\t\tif err = r.Repo.RemoveTagByID(tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t} else {\n\t\t\t\ttags = append(tags, int(tid))\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\t}\n\treturn tags, nil\n}\n\n// UpdateConfiguration is the resolver for the updateConfiguration field.\nfunc (r *mutationResolver) UpdateConfiguration(ctx context.Context, name string, value string) (*string, error) {\n\tif err := repository.GetUserCfgRepo().UpdateConfig(name, value, repository.GetUserFromContext(ctx)); err != nil {\n\t\tcclog.Warn(\"Error while updating user config\")\n\t\treturn nil, err\n\t}\n\n\treturn nil, nil\n}\n\n// ID is the resolver for the id field.\nfunc (r *nodeResolver) ID(ctx context.Context, obj *schema.Node) (string, error) {\n\tpanic(fmt.Errorf(\"not implemented: ID - id\"))\n}\n\n// SchedulerState is the resolver for the schedulerState field.\nfunc (r *nodeResolver) SchedulerState(ctx context.Context, obj *schema.Node) (schema.SchedulerState, error) {\n\tif obj.NodeState != \"\" {\n\t\treturn obj.NodeState, nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no SchedulerState (NodeState) on node object\")\n\t}\n}\n\n// HealthState is the resolver for the healthState field.\nfunc (r *nodeResolver) HealthState(ctx context.Context, obj *schema.Node) (string, error) {\n\tif obj.HealthState != \"\" {\n\t\treturn string(obj.HealthState), nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no HealthState (NodeState) on node object\")\n\t}\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *nodeResolver) MetaData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.MetaData != nil {\n\t\treturn obj.MetaData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no MetaData (NodeState) on node object\")\n\t\temptyMeta := make(map[string]string, 0)\n\t\treturn emptyMeta, nil\n\t}\n}\n\n// HealthData is the resolver for the healthData field.\nfunc (r *nodeResolver) HealthData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.HealthData != nil {\n\t\treturn obj.HealthData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no HealthData (NodeState) on node object\")\n\t\temptyHealth := make(map[string][]string, 0)\n\t\treturn emptyHealth, nil\n\t}\n}\n\n// Clusters is the resolver for the clusters field.\nfunc (r *queryResolver) Clusters(ctx context.Context) ([]*schema.Cluster, error) {\n\treturn archive.Clusters, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *queryResolver) Tags(ctx context.Context) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), nil)\n}\n\n// GlobalMetrics is the resolver for the globalMetrics field.\nfunc (r *queryResolver) GlobalMetrics(ctx context.Context) ([]*schema.GlobalMetricListItem, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\n\tif user != nil {\n\t\tif user.HasRole(schema.RoleUser) || user.HasRole(schema.RoleManager) {\n\t\t\treturn archive.GlobalUserMetricList, nil\n\t\t}\n\t}\n\n\treturn archive.GlobalMetricList, nil\n}\n\n// User is the resolver for the user field.\nfunc (r *queryResolver) User(ctx context.Context, username string) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, username)\n}\n\n// AllocatedNodes is the resolver for the allocatedNodes field.\nfunc (r *queryResolver) AllocatedNodes(ctx context.Context, cluster string) ([]*model.Count, error) {\n\tdata, err := r.Repo.AllocatedNodes(cluster)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching allocated nodes\")\n\t\treturn nil, err\n\t}\n\n\tcounts := make([]*model.Count, 0, len(data))\n\tfor subcluster, hosts := range data {\n\t\tcounts = append(counts, &model.Count{\n\t\t\tName:  subcluster,\n\t\t\tCount: len(hosts),\n\t\t})\n\t}\n\n\treturn counts, nil\n}\n\n// Node is the resolver for the node field.\nfunc (r *queryResolver) Node(ctx context.Context, id string) (*schema.Node, error) {\n\trepo := repository.GetNodeRepository()\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\treturn repo.GetNodeByID(numericID, false)\n}\n\n// Nodes is the resolver for the nodes field.\nfunc (r *queryResolver) Nodes(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodes(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodesWithMeta is the resolver for the nodesWithMeta field.\nfunc (r *queryResolver) NodesWithMeta(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\t// Why Extra Handler? -> graphql.CollectAllFields(ctx) only returns toplevel fields (i.e.: items, count), and not subfields like item.metaData\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodesWithMeta(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodeStates is the resolver for the nodeStates field.\nfunc (r *queryResolver) NodeStates(ctx context.Context, filter []*model.NodeFilter) ([]*model.NodeStates, error) {\n\trepo := repository.GetNodeRepository()\n\n\tstateCounts, serr := repo.CountStates(ctx, filter, \"node_state\")\n\tif serr != nil {\n\t\tcclog.Warnf(\"Error while counting nodeStates: %s\", serr.Error())\n\t\treturn nil, serr\n\t}\n\n\thealthCounts, herr := repo.CountStates(ctx, filter, \"health_state\")\n\tif herr != nil {\n\t\tcclog.Warnf(\"Error while counting healthStates: %s\", herr.Error())\n\t\treturn nil, herr\n\t}\n\n\tallCounts := append(stateCounts, healthCounts...)\n\n\treturn allCounts, nil\n}\n\n// NodeStatesTimed is the resolver for the nodeStatesTimed field.\nfunc (r *queryResolver) NodeStatesTimed(ctx context.Context, filter []*model.NodeFilter, typeArg string) ([]*model.NodeStatesTimed, error) {\n\trepo := repository.GetNodeRepository()\n\n\tif typeArg == \"node\" {\n\t\tstateCounts, serr := repo.CountStatesTimed(ctx, filter, \"node_state\")\n\t\tif serr != nil {\n\t\t\tcclog.Warnf(\"Error while counting nodeStates in time: %s\", serr.Error())\n\t\t\treturn nil, serr\n\t\t}\n\t\treturn stateCounts, nil\n\t}\n\n\tif typeArg == \"health\" {\n\t\thealthCounts, herr := repo.CountStatesTimed(ctx, filter, \"health_state\")\n\t\tif herr != nil {\n\t\t\tcclog.Warnf(\"Error while counting healthStates in time: %s\", herr.Error())\n\t\t\treturn nil, herr\n\t\t}\n\t\treturn healthCounts, nil\n\t}\n\n\treturn nil, errors.New(\"unknown Node State Query Type\")\n}\n\n// Job is the resolver for the job field.\nfunc (r *queryResolver) Job(ctx context.Context, id string) (*schema.Job, error) {\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\tjob, err := r.Repo.FindByID(ctx, numericID)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while finding job by id\")\n\t\treturn nil, err\n\t}\n\n\tif user := repository.GetUserFromContext(ctx); user != nil &&\n\t\tjob.User != user.Username &&\n\t\tuser.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"you are not allowed to see this job\")\n\t}\n\n\treturn job, nil\n}\n\n// JobMetrics is the resolver for the jobMetrics field.\nfunc (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int, resampleAlgo *model.ResampleAlgo) ([]*model.JobMetricWithName, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying job for metrics\")\n\t\treturn nil, err\n\t}\n\n\t// Resolve resolution: explicit param > user policy > global config > 0\n\tif resolution == nil {\n\t\tresolution = resolveResolutionFromPolicy(ctx, int64(job.Duration), job.Cluster, metrics)\n\t}\n\tif resolution == nil {\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else {\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\talgoName := resolveResampleAlgo(ctx, resampleAlgo)\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution, algoName)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobMetricWithName{}\n\tfor name, md := range data {\n\t\tfor scope, metric := range md {\n\t\t\tres = append(res, &model.JobMetricWithName{\n\t\t\t\tName:   name,\n\t\t\t\tScope:  scope,\n\t\t\t\tMetric: metric,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, err\n}\n\n// JobStats is the resolver for the jobStats field.\nfunc (r *queryResolver) JobStats(ctx context.Context, id string, metrics []string) ([]*model.NamedStats, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading jobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := []*model.NamedStats{}\n\tfor name, md := range data {\n\t\tres = append(res, &model.NamedStats{\n\t\t\tName: name,\n\t\t\tData: &md,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// ScopedJobStats is the resolver for the scopedJobStats field.\nfunc (r *queryResolver) ScopedJobStats(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope) ([]*model.NamedStatsWithScope, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadScopedJobStats(job, metrics, scopes, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading scopedJobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := make([]*model.NamedStatsWithScope, 0)\n\tfor name, scoped := range data {\n\t\tfor scope, stats := range scoped {\n\n\t\t\tmdlStats := make([]*model.ScopedStats, 0)\n\t\t\tfor _, stat := range stats {\n\t\t\t\tmdlStats = append(mdlStats, &model.ScopedStats{\n\t\t\t\t\tHostname: stat.Hostname,\n\t\t\t\t\tID:       stat.ID,\n\t\t\t\t\tData:     stat.Data,\n\t\t\t\t})\n\t\t\t}\n\n\t\t\tres = append(res, &model.NamedStatsWithScope{\n\t\t\t\tName:  name,\n\t\t\t\tScope: scope,\n\t\t\t\tStats: mdlStats,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, nil\n}\n\n// Jobs is the resolver for the jobs field.\nfunc (r *queryResolver) Jobs(ctx context.Context, filter []*model.JobFilter, page *model.PageRequest, order *model.OrderByInput) (*model.JobResultList, error) {\n\tif page == nil {\n\t\tpage = &model.PageRequest{\n\t\t\tItemsPerPage: 50,\n\t\t\tPage:         1,\n\t\t}\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, page, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs\")\n\t\treturn nil, err\n\t}\n\n\tcount, err := r.Repo.CountJobs(ctx, filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while counting jobs\")\n\t\treturn nil, err\n\t}\n\n\t// Note: Even if App-Default 'config.Keys.UiDefaults[\"job_list_usePaging\"]' is set, always return hasNextPage boolean.\n\t// Users can decide in frontend to use continuous scroll, even if app-default is paging!\n\t// Skip if page.ItemsPerPage == -1 (\"Load All\" -> No Next Page required, Status Dashboards)\n\t/*\n\t  Example Page 4 @ 10 IpP : Does item 41 exist?\n\t  Minimal Page 41 @ 1 IpP : If len(result) is 1, Page 5 @ 10 IpP exists.\n\t*/\n\thasNextPage := false\n\tif page.ItemsPerPage != -1 {\n\t\tnextPage := &model.PageRequest{\n\t\t\tItemsPerPage: 1,\n\t\t\tPage:         ((page.Page * page.ItemsPerPage) + 1),\n\t\t}\n\t\tnextJobs, err := r.Repo.QueryJobs(ctx, filter, nextPage, order)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while querying next jobs\")\n\t\t\treturn nil, err\n\t\t}\n\t\thasNextPage = len(nextJobs) == 1\n\t}\n\n\treturn &model.JobResultList{Items: jobs, Count: &count, HasNextPage: &hasNextPage}, nil\n}\n\n// JobsStatistics is the resolver for the jobsStatistics field.\nfunc (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobFilter, metrics []string, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, numDurationBins *string, numMetricBins *int) ([]*model.JobsStatistics, error) {\n\tvar err error\n\tvar stats []*model.JobsStatistics\n\n\t// Top Level Defaults\n\tdefaultDurationBins := \"1h\"\n\tdefaultMetricBins := 10\n\n\t// Build requested fields map for selective column computation\n\tstatsFields := []string{\n\t\t\"totalJobs\", \"totalUsers\", \"totalWalltime\", \"totalNodes\", \"totalCores\",\n\t\t\"totalAccs\", \"totalNodeHours\", \"totalCoreHours\", \"totalAccHours\", \"runningJobs\", \"shortJobs\",\n\t}\n\treqFields := make(map[string]bool, len(statsFields))\n\tfetchedMainStats := false\n\tfor _, f := range statsFields {\n\t\tif requireField(ctx, f) {\n\t\t\treqFields[f] = true\n\t\t\tif f != \"runningJobs\" && f != \"shortJobs\" {\n\t\t\t\tfetchedMainStats = true\n\t\t\t}\n\t\t}\n\t}\n\n\tif fetchedMainStats {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n\t\t} else {\n\t\t\tstartGrouped := time.Now()\n\t\t\t// Use request-scoped cache: multiple aliases with same (filter, groupBy)\n\t\t\t// but different sortBy/page hit the DB only once.\n\t\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n\t\t\t\tkey := statsCacheKey(filter, groupBy, reqFields)\n\t\t\t\tvar allStats []*model.JobsStatistics\n\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)\n\t\t\t\t})\n\t\t\t\tif err == nil {\n\t\t\t\t\tstats = sortAndPageStats(allStats, sortBy, page)\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\t}\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {\n\t\tstats = make([]*model.JobsStatistics, 0, 1)\n\t\tstats = append(stats, &model.JobsStatistics{})\n\t}\n\n\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n\t// Only run separate count queries if main stats were not fetched.\n\tif !fetchedMainStats {\n\t\tif groupBy != nil {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n\t\t\t}\n\t\t} else {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n\t\t\t}\n\t\t}\n\t}\n\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif requireField(ctx, \"histDuration\") || requireField(ctx, \"histNumNodes\") || requireField(ctx, \"histNumCores\") || requireField(ctx, \"histNumAccs\") {\n\n\t\tif numDurationBins == nil {\n\t\t\tnumDurationBins = &defaultDurationBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddHistograms(ctx, filter, stats[0], numDurationBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\tif requireField(ctx, \"histMetrics\") {\n\n\t\tif numMetricBins == nil {\n\t\t\tnumMetricBins = &defaultMetricBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddMetricHistograms(ctx, filter, metrics, stats[0], numMetricBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"metric histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// JobsMetricStats is the resolver for the jobsMetricStats field.\nfunc (r *queryResolver) JobsMetricStats(ctx context.Context, filter []*model.JobFilter, metrics []string) ([]*model.JobStats, error) {\n\t// No Paging, Fixed Order by StartTime ASC\n\torder := &model.OrderByInput{\n\t\tField: \"startTime\",\n\t\tType:  \"col\",\n\t\tOrder: \"ASC\",\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, nil, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs for comparison\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobStats{}\n\tfor _, job := range jobs {\n\t\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading comparison jobStats data for job id %d\", job.JobID)\n\t\t\tcontinue\n\t\t\t// return nil, err\n\t\t}\n\n\t\tsres := []*model.NamedStats{}\n\t\tfor name, md := range data {\n\t\t\tsres = append(sres, &model.NamedStats{\n\t\t\t\tName: name,\n\t\t\t\tData: &md,\n\t\t\t})\n\t\t}\n\n\t\tnumThreadsInt := int(job.NumHWThreads)\n\t\tnumAccsInt := int(job.NumAcc)\n\t\tres = append(res, &model.JobStats{\n\t\t\tID:              int(*job.ID),\n\t\t\tJobID:           strconv.Itoa(int(job.JobID)),\n\t\t\tStartTime:       int(job.StartTime),\n\t\t\tDuration:        int(job.Duration),\n\t\t\tCluster:         job.Cluster,\n\t\t\tSubCluster:      job.SubCluster,\n\t\t\tNumNodes:        int(job.NumNodes),\n\t\t\tNumHWThreads:    &numThreadsInt,\n\t\t\tNumAccelerators: &numAccsInt,\n\t\t\tStats:           sres,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// JobsFootprints is the resolver for the jobsFootprints field.\nfunc (r *queryResolver) JobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n\t// NOTE: Legacy Naming! This resolver is for normalized histograms in analysis view only - *Not* related to DB \"footprint\" column!\n\treturn r.jobsFootprints(ctx, filter, metrics)\n}\n\n// RooflineHeatmap is the resolver for the rooflineHeatmap field.\nfunc (r *queryResolver) RooflineHeatmap(ctx context.Context, filter []*model.JobFilter, rows int, cols int, minX float64, minY float64, maxX float64, maxY float64) ([][]float64, error) {\n\treturn r.rooflineHeatmap(ctx, filter, rows, cols, minX, minY, maxX, maxY)\n}\n\n// NodeMetrics is the resolver for the nodeMetrics field.\nfunc (r *queryResolver) NodeMetrics(ctx context.Context, cluster string, nodes []string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time) ([]*model.NodeMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tdefaultMetrics := make([]string, 0)\n\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\tdefaultMetrics = append(defaultMetrics, mc.Name)\n\t}\n\tif metrics == nil {\n\t\tmetrics = defaultMetrics\n\t} else {\n\t\tmetrics = slices.DeleteFunc(metrics, func(metric string) bool {\n\t\t\treturn !slices.Contains(defaultMetrics, metric) // Remove undefined metrics.\n\t\t})\n\t}\n\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\tnodeStateMap, metricHealthMap, _ := nodeRepo.MapNodes(cluster)\n\n\tnodeMetrics := make([]*model.NodeMetrics, 0, len(data))\n\tfor hostname, metrics := range data {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost:         hostname,\n\t\t\tNodeState:    nodeStateMap[hostname],\n\t\t\tMetricHealth: metricHealthMap[hostname],\n\t\t\tMetrics:      make([]*model.JobMetricWithName, 0, len(metrics)*len(scopes)),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName:   metric,\n\t\t\t\t\tScope:  schema.MetricScopeNode,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetrics = append(nodeMetrics, host)\n\t}\n\n\treturn nodeMetrics, nil\n}\n\n// NodeMetricsList is the resolver for the nodeMetricsList field.\nfunc (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int, resampleAlgo *model.ResampleAlgo) (*model.NodesResultList, error) {\n\t// Resolve resolution: explicit param > user policy > global config > 0\n\tduration := int64(to.Sub(from).Seconds())\n\tif resolution == nil {\n\t\tresolution = resolveResolutionFromPolicy(ctx, duration, cluster, metrics)\n\t}\n\tif resolution == nil {\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else {\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\t// nodes -> array hostname\n\tnodes, nodeStateMap, metricHealthMap, countNodes, hasNextPage, nerr := nodeRepo.GetNodesForList(ctx, cluster, subCluster, stateFilter, nodeFilter, page)\n\tif nerr != nil {\n\t\treturn nil, errors.New(\"could not retrieve node list required for resolving NodeMetricsList\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\talgoName := resolveResampleAlgo(ctx, resampleAlgo)\n\n\t// data -> map hostname:jobdata\n\tdata, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx, algoName)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data (Resolver.NodeMetricsList\")\n\t\treturn nil, err\n\t}\n\n\tnodeMetricsList := make([]*model.NodeMetrics, 0, len(data))\n\tfor _, hostname := range nodes {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost:         hostname,\n\t\t\tNodeState:    nodeStateMap[hostname],\n\t\t\tMetricHealth: metricHealthMap[hostname],\n\t\t\tMetrics:      make([]*model.JobMetricWithName, 0),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range data[hostname] {\n\t\t\tfor scope, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName:   metric,\n\t\t\t\t\tScope:  scope,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetricsList = append(nodeMetricsList, host)\n\t}\n\n\tnodeMetricsListResult := &model.NodesResultList{\n\t\tItems: nodeMetricsList,\n\t\t// TotalNodes depends on sum of nodes grouped on latest timestamp, see repo/node.go:357\n\t\tTotalNodes:  &countNodes,\n\t\tHasNextPage: &hasNextPage,\n\t}\n\n\treturn nodeMetricsListResult, nil\n}\n\n// ClusterMetrics is the resolver for the clusterMetrics field.\nfunc (r *queryResolver) ClusterMetrics(ctx context.Context, cluster string, metrics []string, from time.Time, to time.Time) (*model.ClusterMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\t// 'nodes' == nil -> Defaults to all nodes of cluster for existing query workflow\n\tscopes := []schema.MetricScope{\"node\"}\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nil, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tclusterMetricData := make([]*model.ClusterMetricWithName, 0)\n\tclusterMetrics := model.ClusterMetrics{NodeCount: 0, Metrics: clusterMetricData}\n\n\tcollectorTimestep := make(map[string]int)\n\tcollectorUnit := make(map[string]schema.Unit)\n\tcollectorData := make(map[string][]schema.Float)\n\n\tfor _, metrics := range data {\n\t\tclusterMetrics.NodeCount += 1\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\t// Collect Info Once\n\t\t\t\t_, okTimestep := collectorTimestep[metric]\n\t\t\t\tif !okTimestep {\n\t\t\t\t\tcollectorTimestep[metric] = scopedMetric.Timestep\n\t\t\t\t}\n\t\t\t\t_, okUnit := collectorUnit[metric]\n\t\t\t\tif !okUnit {\n\t\t\t\t\tcollectorUnit[metric] = scopedMetric.Unit\n\t\t\t\t}\n\t\t\t\t// Collect Data\n\t\t\t\tfor _, ser := range scopedMetric.Series {\n\t\t\t\t\t_, okData := collectorData[metric]\n\t\t\t\t\t// Init With Datasize > 0\n\t\t\t\t\tif !okData && len(ser.Data) != 0 {\n\t\t\t\t\t\tcollectorData[metric] = make([]schema.Float, len(ser.Data))\n\t\t\t\t\t} else if !okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip init: no data -> %s at %s; size %d\", metric, ser.Hostname, len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t\t// Sum if init'd and matching size\n\t\t\t\t\tif okData && len(ser.Data) == len(collectorData[metric]) {\n\t\t\t\t\t\tfor i, val := range ser.Data {\n\t\t\t\t\t\t\tif val.IsNaN() {\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tcollectorData[metric][i] += val\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else if okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip sum: data diff -> %s at %s; want size %d, have size %d\", metric, ser.Hostname, len(collectorData[metric]), len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tfor metricName, data := range collectorData {\n\t\t// use ccUnits for backend normalization to \"Tera\"\n\t\tp_old := ccunit.NewPrefix(collectorUnit[metricName].Prefix)\n\t\tp_new := ccunit.NewPrefix(\"T\")\n\t\tconvFunc := ccunit.GetPrefixPrefixFactor(p_old, p_new)\n\t\tu_new := schema.Unit{Prefix: p_new.Prefix(), Base: collectorUnit[metricName].Base}\n\n\t\troundedData := make([]schema.Float, 0)\n\t\tfor _, v_old := range data {\n\t\t\tv_new := math.Round(convFunc(float64(v_old)).(float64)*100.0) / 100.0\n\t\t\troundedData = append(roundedData, schema.Float(v_new))\n\t\t}\n\n\t\tcm := model.ClusterMetricWithName{\n\t\t\tName:     metricName,\n\t\t\tUnit:     &u_new,\n\t\t\tTimestep: collectorTimestep[metricName],\n\t\t\tData:     roundedData,\n\t\t}\n\n\t\tclusterMetrics.Metrics = append(clusterMetrics.Metrics, &cm)\n\t}\n\n\treturn &clusterMetrics, nil\n}\n\n// NumberOfNodes is the resolver for the numberOfNodes field.\nfunc (r *subClusterResolver) NumberOfNodes(ctx context.Context, obj *schema.SubCluster) (int, error) {\n\tnodeList, err := archive.ParseNodeList(obj.Nodes)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn nodeList.NodeCount(), nil\n}\n\n// Cluster returns generated.ClusterResolver implementation.\nfunc (r *Resolver) Cluster() generated.ClusterResolver { return &clusterResolver{r} }\n\n// Job returns generated.JobResolver implementation.\nfunc (r *Resolver) Job() generated.JobResolver { return &jobResolver{r} }\n\n// MetricValue returns generated.MetricValueResolver implementation.\nfunc (r *Resolver) MetricValue() generated.MetricValueResolver { return &metricValueResolver{r} }\n\n// Mutation returns generated.MutationResolver implementation.\nfunc (r *Resolver) Mutation() generated.MutationResolver { return &mutationResolver{r} }\n\n// Node returns generated.NodeResolver implementation.\nfunc (r *Resolver) Node() generated.NodeResolver { return &nodeResolver{r} }\n\n// Query returns generated.QueryResolver implementation.\nfunc (r *Resolver) Query() generated.QueryResolver { return &queryResolver{r} }\n\n// SubCluster returns generated.SubClusterResolver implementation.\nfunc (r *Resolver) SubCluster() generated.SubClusterResolver { return &subClusterResolver{r} }\n\ntype clusterResolver struct{ *Resolver }\ntype jobResolver struct{ *Resolver }\ntype metricValueResolver struct{ *Resolver }\ntype mutationResolver struct{ *Resolver }\ntype nodeResolver struct{ *Resolver }\ntype queryResolver struct{ *Resolver }\ntype subClusterResolver struct{ *Resolver }\n","structuredPatch":[{"oldStart":511,"oldLines":9,"newStart":511,"newLines":9,"lines":["   }","   if resolution == nil {","     if config.Keys.EnableResampling != nil {","-      defaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)","-      resolution = &defaultRes","-    } else {","+      resolution = resolveResolutionFromDefaultPolicy(int64(job.Duration), job.Cluster, metrics)","+    }","+    if resolution == nil {","       defaultRes := 0","       resolution = &defaultRes","     }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"ccf841e7-210d-49d6-860b-05fabf65db67","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"995ece89-d0d1-4fd3-90bb-670daa4f6656","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01TYD4sWf1dnwvzcYvXfS5Z8","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018Aj2JmDbcJX1JuetkmRYR3","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","old_string":"\tif resolution == nil {\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else {\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)","new_string":"\tif resolution == nil {\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tresolution = resolveResolutionFromDefaultPolicy(duration, cluster, metrics)\n\t\t}\n\t\tif resolution == nil {\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1297,"cache_read_input_tokens":44453,"output_tokens":1126,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1297,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDrYZY1Vd2rqxuC6oqHT","type":"assistant","uuid":"ff57d8e9-ed96-44ba-b969-1ccb4bdb8574","timestamp":"2026-03-20T06:25:43.294Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"ff57d8e9-ed96-44ba-b969-1ccb4bdb8574","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018Aj2JmDbcJX1JuetkmRYR3","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go has been updated successfully."}]},"uuid":"1269b01e-5ee3-48f7-8fdb-6659aa8aa908","timestamp":"2026-03-20T06:25:43.302Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","oldString":"\tif resolution == nil {\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else {\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)","newString":"\tif resolution == nil {\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tresolution = resolveResolutionFromDefaultPolicy(duration, cluster, metrics)\n\t\t}\n\t\tif resolution == nil {\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)","originalFile":"package graph\n\n// This file will be automatically regenerated based on the schema, any resolver\n// implementations\n// will be copied through when generating and any unknown code will be moved to the end.\n// Code generated by github.com/99designs/gqlgen version v0.17.88\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"math\"\n\t\"regexp\"\n\t\"slices\"\n\t\"strconv\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tccunit \"github.com/ClusterCockpit/cc-lib/v2/ccUnits\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Partitions is the resolver for the partitions field.\nfunc (r *clusterResolver) Partitions(ctx context.Context, obj *schema.Cluster) ([]string, error) {\n\treturn r.Repo.Partitions(obj.Name)\n}\n\n// StartTime is the resolver for the startTime field.\nfunc (r *jobResolver) StartTime(ctx context.Context, obj *schema.Job) (*time.Time, error) {\n\ttimestamp := time.Unix(obj.StartTime, 0)\n\treturn &timestamp, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *jobResolver) Tags(ctx context.Context, obj *schema.Job) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), obj.ID)\n}\n\n// ConcurrentJobs is the resolver for the concurrentJobs field.\nfunc (r *jobResolver) ConcurrentJobs(ctx context.Context, obj *schema.Job) (*model.JobLinkResultList, error) {\n\t// FIXME: Make the hardcoded duration configurable\n\tif obj.Shared != \"none\" && obj.Duration > 600 {\n\t\treturn r.Repo.FindConcurrentJobs(ctx, obj)\n\t}\n\n\treturn nil, nil\n}\n\n// Footprint is the resolver for the footprint field.\nfunc (r *jobResolver) Footprint(ctx context.Context, obj *schema.Job) ([]*model.FootprintValue, error) {\n\trawFootprint, err := r.Repo.FetchFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.FootprintValue{}\n\tfor name, value := range rawFootprint {\n\n\t\tparts := strings.Split(name, \"_\")\n\t\tstatPart := parts[len(parts)-1]\n\t\tnameParts := parts[:len(parts)-1]\n\n\t\tres = append(res, &model.FootprintValue{\n\t\t\tName:  strings.Join(nameParts, \"_\"),\n\t\t\tStat:  statPart,\n\t\t\tValue: value,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// EnergyFootprint is the resolver for the energyFootprint field.\nfunc (r *jobResolver) EnergyFootprint(ctx context.Context, obj *schema.Job) ([]*model.EnergyFootprintValue, error) {\n\trawEnergyFootprint, err := r.Repo.FetchEnergyFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job energy footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.EnergyFootprintValue{}\n\tfor name, value := range rawEnergyFootprint {\n\t\t// Suboptimal: Nearly hardcoded metric name expectations\n\t\tmatchCPU := regexp.MustCompile(`cpu|Cpu|CPU`)\n\t\tmatchAcc := regexp.MustCompile(`acc|Acc|ACC`)\n\t\tmatchMem := regexp.MustCompile(`mem|Mem|MEM`)\n\t\tmatchCore := regexp.MustCompile(`core|Core|CORE`)\n\n\t\thwType := \"\"\n\t\tswitch test := name; { // NOtice ';' for var declaration\n\t\tcase matchCPU.MatchString(test):\n\t\t\thwType = \"CPU\"\n\t\tcase matchAcc.MatchString(test):\n\t\t\thwType = \"Accelerator\"\n\t\tcase matchMem.MatchString(test):\n\t\t\thwType = \"Memory\"\n\t\tcase matchCore.MatchString(test):\n\t\t\thwType = \"Core\"\n\t\tdefault:\n\t\t\thwType = \"Other\"\n\t\t}\n\n\t\tres = append(res, &model.EnergyFootprintValue{\n\t\t\tHardware: hwType,\n\t\t\tMetric:   name,\n\t\t\tValue:    value,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *jobResolver) MetaData(ctx context.Context, obj *schema.Job) (any, error) {\n\treturn r.Repo.FetchMetadata(obj)\n}\n\n// UserData is the resolver for the userData field.\nfunc (r *jobResolver) UserData(ctx context.Context, obj *schema.Job) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, obj.User)\n}\n\n// Name is the resolver for the name field.\nfunc (r *metricValueResolver) Name(ctx context.Context, obj *schema.MetricValue) (*string, error) {\n\tpanic(fmt.Errorf(\"not implemented: Name - name\"))\n}\n\n// CreateTag is the resolver for the createTag field.\nfunc (r *mutationResolver) CreateTag(ctx context.Context, typeArg string, name string, scope string) (*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\tif user.HasRole(schema.RoleAdmin) && scope == \"admin\" ||\n\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && scope == \"global\" ||\n\t\tuser.Username == scope {\n\t\t// Create in DB\n\t\tid, err := r.Repo.CreateTag(typeArg, name, scope)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while creating tag\")\n\t\t\treturn nil, err\n\t\t}\n\t\treturn &schema.Tag{ID: id, Type: typeArg, Name: name, Scope: scope}, nil\n\t} else {\n\t\tcclog.Warnf(\"Not authorized to create tag with scope: %s\", scope)\n\t\treturn nil, fmt.Errorf(\"not authorized to create tag with scope: %s\", scope)\n\t}\n}\n\n// DeleteTag is the resolver for the deleteTag field.\nfunc (r *mutationResolver) DeleteTag(ctx context.Context, id string) (string, error) {\n\t// This Uses ID string <-> ID string, removeTagFromList uses []string <-> []int\n\tpanic(fmt.Errorf(\"not implemented: DeleteTag - deleteTag\"))\n}\n\n// AddTagsToJob is the resolver for the addTagsToJob field.\nfunc (r *mutationResolver) AddTagsToJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while adding tag to job\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Add to Job\n\t\t\tif tags, err = r.Repo.AddTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while adding tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to add tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to add tag: %d\", tid)\n\t\t}\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagsFromJob is the resolver for the removeTagsFromJob field.\nfunc (r *mutationResolver) RemoveTagsFromJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Remove from Job\n\t\t\tif tags, err = r.Repo.RemoveTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagFromList is the resolver for the removeTagFromList field.\nfunc (r *mutationResolver) RemoveTagFromList(ctx context.Context, tagIds []string) ([]int, error) {\n\t// Needs Contextuser\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\ttags := []int{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id for removal\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && (tscope == \"global\" || tscope == \"admin\") || user.Username == tscope {\n\t\t\t// Remove from DB\n\t\t\tif err = r.Repo.RemoveTagByID(tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t} else {\n\t\t\t\ttags = append(tags, int(tid))\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\t}\n\treturn tags, nil\n}\n\n// UpdateConfiguration is the resolver for the updateConfiguration field.\nfunc (r *mutationResolver) UpdateConfiguration(ctx context.Context, name string, value string) (*string, error) {\n\tif err := repository.GetUserCfgRepo().UpdateConfig(name, value, repository.GetUserFromContext(ctx)); err != nil {\n\t\tcclog.Warn(\"Error while updating user config\")\n\t\treturn nil, err\n\t}\n\n\treturn nil, nil\n}\n\n// ID is the resolver for the id field.\nfunc (r *nodeResolver) ID(ctx context.Context, obj *schema.Node) (string, error) {\n\tpanic(fmt.Errorf(\"not implemented: ID - id\"))\n}\n\n// SchedulerState is the resolver for the schedulerState field.\nfunc (r *nodeResolver) SchedulerState(ctx context.Context, obj *schema.Node) (schema.SchedulerState, error) {\n\tif obj.NodeState != \"\" {\n\t\treturn obj.NodeState, nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no SchedulerState (NodeState) on node object\")\n\t}\n}\n\n// HealthState is the resolver for the healthState field.\nfunc (r *nodeResolver) HealthState(ctx context.Context, obj *schema.Node) (string, error) {\n\tif obj.HealthState != \"\" {\n\t\treturn string(obj.HealthState), nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no HealthState (NodeState) on node object\")\n\t}\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *nodeResolver) MetaData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.MetaData != nil {\n\t\treturn obj.MetaData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no MetaData (NodeState) on node object\")\n\t\temptyMeta := make(map[string]string, 0)\n\t\treturn emptyMeta, nil\n\t}\n}\n\n// HealthData is the resolver for the healthData field.\nfunc (r *nodeResolver) HealthData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.HealthData != nil {\n\t\treturn obj.HealthData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no HealthData (NodeState) on node object\")\n\t\temptyHealth := make(map[string][]string, 0)\n\t\treturn emptyHealth, nil\n\t}\n}\n\n// Clusters is the resolver for the clusters field.\nfunc (r *queryResolver) Clusters(ctx context.Context) ([]*schema.Cluster, error) {\n\treturn archive.Clusters, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *queryResolver) Tags(ctx context.Context) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), nil)\n}\n\n// GlobalMetrics is the resolver for the globalMetrics field.\nfunc (r *queryResolver) GlobalMetrics(ctx context.Context) ([]*schema.GlobalMetricListItem, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\n\tif user != nil {\n\t\tif user.HasRole(schema.RoleUser) || user.HasRole(schema.RoleManager) {\n\t\t\treturn archive.GlobalUserMetricList, nil\n\t\t}\n\t}\n\n\treturn archive.GlobalMetricList, nil\n}\n\n// User is the resolver for the user field.\nfunc (r *queryResolver) User(ctx context.Context, username string) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, username)\n}\n\n// AllocatedNodes is the resolver for the allocatedNodes field.\nfunc (r *queryResolver) AllocatedNodes(ctx context.Context, cluster string) ([]*model.Count, error) {\n\tdata, err := r.Repo.AllocatedNodes(cluster)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching allocated nodes\")\n\t\treturn nil, err\n\t}\n\n\tcounts := make([]*model.Count, 0, len(data))\n\tfor subcluster, hosts := range data {\n\t\tcounts = append(counts, &model.Count{\n\t\t\tName:  subcluster,\n\t\t\tCount: len(hosts),\n\t\t})\n\t}\n\n\treturn counts, nil\n}\n\n// Node is the resolver for the node field.\nfunc (r *queryResolver) Node(ctx context.Context, id string) (*schema.Node, error) {\n\trepo := repository.GetNodeRepository()\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\treturn repo.GetNodeByID(numericID, false)\n}\n\n// Nodes is the resolver for the nodes field.\nfunc (r *queryResolver) Nodes(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodes(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodesWithMeta is the resolver for the nodesWithMeta field.\nfunc (r *queryResolver) NodesWithMeta(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\t// Why Extra Handler? -> graphql.CollectAllFields(ctx) only returns toplevel fields (i.e.: items, count), and not subfields like item.metaData\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodesWithMeta(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodeStates is the resolver for the nodeStates field.\nfunc (r *queryResolver) NodeStates(ctx context.Context, filter []*model.NodeFilter) ([]*model.NodeStates, error) {\n\trepo := repository.GetNodeRepository()\n\n\tstateCounts, serr := repo.CountStates(ctx, filter, \"node_state\")\n\tif serr != nil {\n\t\tcclog.Warnf(\"Error while counting nodeStates: %s\", serr.Error())\n\t\treturn nil, serr\n\t}\n\n\thealthCounts, herr := repo.CountStates(ctx, filter, \"health_state\")\n\tif herr != nil {\n\t\tcclog.Warnf(\"Error while counting healthStates: %s\", herr.Error())\n\t\treturn nil, herr\n\t}\n\n\tallCounts := append(stateCounts, healthCounts...)\n\n\treturn allCounts, nil\n}\n\n// NodeStatesTimed is the resolver for the nodeStatesTimed field.\nfunc (r *queryResolver) NodeStatesTimed(ctx context.Context, filter []*model.NodeFilter, typeArg string) ([]*model.NodeStatesTimed, error) {\n\trepo := repository.GetNodeRepository()\n\n\tif typeArg == \"node\" {\n\t\tstateCounts, serr := repo.CountStatesTimed(ctx, filter, \"node_state\")\n\t\tif serr != nil {\n\t\t\tcclog.Warnf(\"Error while counting nodeStates in time: %s\", serr.Error())\n\t\t\treturn nil, serr\n\t\t}\n\t\treturn stateCounts, nil\n\t}\n\n\tif typeArg == \"health\" {\n\t\thealthCounts, herr := repo.CountStatesTimed(ctx, filter, \"health_state\")\n\t\tif herr != nil {\n\t\t\tcclog.Warnf(\"Error while counting healthStates in time: %s\", herr.Error())\n\t\t\treturn nil, herr\n\t\t}\n\t\treturn healthCounts, nil\n\t}\n\n\treturn nil, errors.New(\"unknown Node State Query Type\")\n}\n\n// Job is the resolver for the job field.\nfunc (r *queryResolver) Job(ctx context.Context, id string) (*schema.Job, error) {\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\tjob, err := r.Repo.FindByID(ctx, numericID)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while finding job by id\")\n\t\treturn nil, err\n\t}\n\n\tif user := repository.GetUserFromContext(ctx); user != nil &&\n\t\tjob.User != user.Username &&\n\t\tuser.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"you are not allowed to see this job\")\n\t}\n\n\treturn job, nil\n}\n\n// JobMetrics is the resolver for the jobMetrics field.\nfunc (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int, resampleAlgo *model.ResampleAlgo) ([]*model.JobMetricWithName, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying job for metrics\")\n\t\treturn nil, err\n\t}\n\n\t// Resolve resolution: explicit param > user policy > global config > 0\n\tif resolution == nil {\n\t\tresolution = resolveResolutionFromPolicy(ctx, int64(job.Duration), job.Cluster, metrics)\n\t}\n\tif resolution == nil {\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tresolution = resolveResolutionFromDefaultPolicy(int64(job.Duration), job.Cluster, metrics)\n\t\t}\n\t\tif resolution == nil {\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\talgoName := resolveResampleAlgo(ctx, resampleAlgo)\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution, algoName)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobMetricWithName{}\n\tfor name, md := range data {\n\t\tfor scope, metric := range md {\n\t\t\tres = append(res, &model.JobMetricWithName{\n\t\t\t\tName:   name,\n\t\t\t\tScope:  scope,\n\t\t\t\tMetric: metric,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, err\n}\n\n// JobStats is the resolver for the jobStats field.\nfunc (r *queryResolver) JobStats(ctx context.Context, id string, metrics []string) ([]*model.NamedStats, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading jobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := []*model.NamedStats{}\n\tfor name, md := range data {\n\t\tres = append(res, &model.NamedStats{\n\t\t\tName: name,\n\t\t\tData: &md,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// ScopedJobStats is the resolver for the scopedJobStats field.\nfunc (r *queryResolver) ScopedJobStats(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope) ([]*model.NamedStatsWithScope, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadScopedJobStats(job, metrics, scopes, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading scopedJobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := make([]*model.NamedStatsWithScope, 0)\n\tfor name, scoped := range data {\n\t\tfor scope, stats := range scoped {\n\n\t\t\tmdlStats := make([]*model.ScopedStats, 0)\n\t\t\tfor _, stat := range stats {\n\t\t\t\tmdlStats = append(mdlStats, &model.ScopedStats{\n\t\t\t\t\tHostname: stat.Hostname,\n\t\t\t\t\tID:       stat.ID,\n\t\t\t\t\tData:     stat.Data,\n\t\t\t\t})\n\t\t\t}\n\n\t\t\tres = append(res, &model.NamedStatsWithScope{\n\t\t\t\tName:  name,\n\t\t\t\tScope: scope,\n\t\t\t\tStats: mdlStats,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, nil\n}\n\n// Jobs is the resolver for the jobs field.\nfunc (r *queryResolver) Jobs(ctx context.Context, filter []*model.JobFilter, page *model.PageRequest, order *model.OrderByInput) (*model.JobResultList, error) {\n\tif page == nil {\n\t\tpage = &model.PageRequest{\n\t\t\tItemsPerPage: 50,\n\t\t\tPage:         1,\n\t\t}\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, page, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs\")\n\t\treturn nil, err\n\t}\n\n\tcount, err := r.Repo.CountJobs(ctx, filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while counting jobs\")\n\t\treturn nil, err\n\t}\n\n\t// Note: Even if App-Default 'config.Keys.UiDefaults[\"job_list_usePaging\"]' is set, always return hasNextPage boolean.\n\t// Users can decide in frontend to use continuous scroll, even if app-default is paging!\n\t// Skip if page.ItemsPerPage == -1 (\"Load All\" -> No Next Page required, Status Dashboards)\n\t/*\n\t  Example Page 4 @ 10 IpP : Does item 41 exist?\n\t  Minimal Page 41 @ 1 IpP : If len(result) is 1, Page 5 @ 10 IpP exists.\n\t*/\n\thasNextPage := false\n\tif page.ItemsPerPage != -1 {\n\t\tnextPage := &model.PageRequest{\n\t\t\tItemsPerPage: 1,\n\t\t\tPage:         ((page.Page * page.ItemsPerPage) + 1),\n\t\t}\n\t\tnextJobs, err := r.Repo.QueryJobs(ctx, filter, nextPage, order)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while querying next jobs\")\n\t\t\treturn nil, err\n\t\t}\n\t\thasNextPage = len(nextJobs) == 1\n\t}\n\n\treturn &model.JobResultList{Items: jobs, Count: &count, HasNextPage: &hasNextPage}, nil\n}\n\n// JobsStatistics is the resolver for the jobsStatistics field.\nfunc (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobFilter, metrics []string, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, numDurationBins *string, numMetricBins *int) ([]*model.JobsStatistics, error) {\n\tvar err error\n\tvar stats []*model.JobsStatistics\n\n\t// Top Level Defaults\n\tdefaultDurationBins := \"1h\"\n\tdefaultMetricBins := 10\n\n\t// Build requested fields map for selective column computation\n\tstatsFields := []string{\n\t\t\"totalJobs\", \"totalUsers\", \"totalWalltime\", \"totalNodes\", \"totalCores\",\n\t\t\"totalAccs\", \"totalNodeHours\", \"totalCoreHours\", \"totalAccHours\", \"runningJobs\", \"shortJobs\",\n\t}\n\treqFields := make(map[string]bool, len(statsFields))\n\tfetchedMainStats := false\n\tfor _, f := range statsFields {\n\t\tif requireField(ctx, f) {\n\t\t\treqFields[f] = true\n\t\t\tif f != \"runningJobs\" && f != \"shortJobs\" {\n\t\t\t\tfetchedMainStats = true\n\t\t\t}\n\t\t}\n\t}\n\n\tif fetchedMainStats {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n\t\t} else {\n\t\t\tstartGrouped := time.Now()\n\t\t\t// Use request-scoped cache: multiple aliases with same (filter, groupBy)\n\t\t\t// but different sortBy/page hit the DB only once.\n\t\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n\t\t\t\tkey := statsCacheKey(filter, groupBy, reqFields)\n\t\t\t\tvar allStats []*model.JobsStatistics\n\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)\n\t\t\t\t})\n\t\t\t\tif err == nil {\n\t\t\t\t\tstats = sortAndPageStats(allStats, sortBy, page)\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\t}\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {\n\t\tstats = make([]*model.JobsStatistics, 0, 1)\n\t\tstats = append(stats, &model.JobsStatistics{})\n\t}\n\n\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n\t// Only run separate count queries if main stats were not fetched.\n\tif !fetchedMainStats {\n\t\tif groupBy != nil {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n\t\t\t}\n\t\t} else {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n\t\t\t}\n\t\t}\n\t}\n\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif requireField(ctx, \"histDuration\") || requireField(ctx, \"histNumNodes\") || requireField(ctx, \"histNumCores\") || requireField(ctx, \"histNumAccs\") {\n\n\t\tif numDurationBins == nil {\n\t\t\tnumDurationBins = &defaultDurationBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddHistograms(ctx, filter, stats[0], numDurationBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\tif requireField(ctx, \"histMetrics\") {\n\n\t\tif numMetricBins == nil {\n\t\t\tnumMetricBins = &defaultMetricBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddMetricHistograms(ctx, filter, metrics, stats[0], numMetricBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"metric histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// JobsMetricStats is the resolver for the jobsMetricStats field.\nfunc (r *queryResolver) JobsMetricStats(ctx context.Context, filter []*model.JobFilter, metrics []string) ([]*model.JobStats, error) {\n\t// No Paging, Fixed Order by StartTime ASC\n\torder := &model.OrderByInput{\n\t\tField: \"startTime\",\n\t\tType:  \"col\",\n\t\tOrder: \"ASC\",\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, nil, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs for comparison\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobStats{}\n\tfor _, job := range jobs {\n\t\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading comparison jobStats data for job id %d\", job.JobID)\n\t\t\tcontinue\n\t\t\t// return nil, err\n\t\t}\n\n\t\tsres := []*model.NamedStats{}\n\t\tfor name, md := range data {\n\t\t\tsres = append(sres, &model.NamedStats{\n\t\t\t\tName: name,\n\t\t\t\tData: &md,\n\t\t\t})\n\t\t}\n\n\t\tnumThreadsInt := int(job.NumHWThreads)\n\t\tnumAccsInt := int(job.NumAcc)\n\t\tres = append(res, &model.JobStats{\n\t\t\tID:              int(*job.ID),\n\t\t\tJobID:           strconv.Itoa(int(job.JobID)),\n\t\t\tStartTime:       int(job.StartTime),\n\t\t\tDuration:        int(job.Duration),\n\t\t\tCluster:         job.Cluster,\n\t\t\tSubCluster:      job.SubCluster,\n\t\t\tNumNodes:        int(job.NumNodes),\n\t\t\tNumHWThreads:    &numThreadsInt,\n\t\t\tNumAccelerators: &numAccsInt,\n\t\t\tStats:           sres,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// JobsFootprints is the resolver for the jobsFootprints field.\nfunc (r *queryResolver) JobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n\t// NOTE: Legacy Naming! This resolver is for normalized histograms in analysis view only - *Not* related to DB \"footprint\" column!\n\treturn r.jobsFootprints(ctx, filter, metrics)\n}\n\n// RooflineHeatmap is the resolver for the rooflineHeatmap field.\nfunc (r *queryResolver) RooflineHeatmap(ctx context.Context, filter []*model.JobFilter, rows int, cols int, minX float64, minY float64, maxX float64, maxY float64) ([][]float64, error) {\n\treturn r.rooflineHeatmap(ctx, filter, rows, cols, minX, minY, maxX, maxY)\n}\n\n// NodeMetrics is the resolver for the nodeMetrics field.\nfunc (r *queryResolver) NodeMetrics(ctx context.Context, cluster string, nodes []string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time) ([]*model.NodeMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tdefaultMetrics := make([]string, 0)\n\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\tdefaultMetrics = append(defaultMetrics, mc.Name)\n\t}\n\tif metrics == nil {\n\t\tmetrics = defaultMetrics\n\t} else {\n\t\tmetrics = slices.DeleteFunc(metrics, func(metric string) bool {\n\t\t\treturn !slices.Contains(defaultMetrics, metric) // Remove undefined metrics.\n\t\t})\n\t}\n\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\tnodeStateMap, metricHealthMap, _ := nodeRepo.MapNodes(cluster)\n\n\tnodeMetrics := make([]*model.NodeMetrics, 0, len(data))\n\tfor hostname, metrics := range data {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost:         hostname,\n\t\t\tNodeState:    nodeStateMap[hostname],\n\t\t\tMetricHealth: metricHealthMap[hostname],\n\t\t\tMetrics:      make([]*model.JobMetricWithName, 0, len(metrics)*len(scopes)),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName:   metric,\n\t\t\t\t\tScope:  schema.MetricScopeNode,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetrics = append(nodeMetrics, host)\n\t}\n\n\treturn nodeMetrics, nil\n}\n\n// NodeMetricsList is the resolver for the nodeMetricsList field.\nfunc (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int, resampleAlgo *model.ResampleAlgo) (*model.NodesResultList, error) {\n\t// Resolve resolution: explicit param > user policy > global config > 0\n\tduration := int64(to.Sub(from).Seconds())\n\tif resolution == nil {\n\t\tresolution = resolveResolutionFromPolicy(ctx, duration, cluster, metrics)\n\t}\n\tif resolution == nil {\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else {\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\t// nodes -> array hostname\n\tnodes, nodeStateMap, metricHealthMap, countNodes, hasNextPage, nerr := nodeRepo.GetNodesForList(ctx, cluster, subCluster, stateFilter, nodeFilter, page)\n\tif nerr != nil {\n\t\treturn nil, errors.New(\"could not retrieve node list required for resolving NodeMetricsList\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\talgoName := resolveResampleAlgo(ctx, resampleAlgo)\n\n\t// data -> map hostname:jobdata\n\tdata, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx, algoName)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data (Resolver.NodeMetricsList\")\n\t\treturn nil, err\n\t}\n\n\tnodeMetricsList := make([]*model.NodeMetrics, 0, len(data))\n\tfor _, hostname := range nodes {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost:         hostname,\n\t\t\tNodeState:    nodeStateMap[hostname],\n\t\t\tMetricHealth: metricHealthMap[hostname],\n\t\t\tMetrics:      make([]*model.JobMetricWithName, 0),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range data[hostname] {\n\t\t\tfor scope, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName:   metric,\n\t\t\t\t\tScope:  scope,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetricsList = append(nodeMetricsList, host)\n\t}\n\n\tnodeMetricsListResult := &model.NodesResultList{\n\t\tItems: nodeMetricsList,\n\t\t// TotalNodes depends on sum of nodes grouped on latest timestamp, see repo/node.go:357\n\t\tTotalNodes:  &countNodes,\n\t\tHasNextPage: &hasNextPage,\n\t}\n\n\treturn nodeMetricsListResult, nil\n}\n\n// ClusterMetrics is the resolver for the clusterMetrics field.\nfunc (r *queryResolver) ClusterMetrics(ctx context.Context, cluster string, metrics []string, from time.Time, to time.Time) (*model.ClusterMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\t// 'nodes' == nil -> Defaults to all nodes of cluster for existing query workflow\n\tscopes := []schema.MetricScope{\"node\"}\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nil, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tclusterMetricData := make([]*model.ClusterMetricWithName, 0)\n\tclusterMetrics := model.ClusterMetrics{NodeCount: 0, Metrics: clusterMetricData}\n\n\tcollectorTimestep := make(map[string]int)\n\tcollectorUnit := make(map[string]schema.Unit)\n\tcollectorData := make(map[string][]schema.Float)\n\n\tfor _, metrics := range data {\n\t\tclusterMetrics.NodeCount += 1\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\t// Collect Info Once\n\t\t\t\t_, okTimestep := collectorTimestep[metric]\n\t\t\t\tif !okTimestep {\n\t\t\t\t\tcollectorTimestep[metric] = scopedMetric.Timestep\n\t\t\t\t}\n\t\t\t\t_, okUnit := collectorUnit[metric]\n\t\t\t\tif !okUnit {\n\t\t\t\t\tcollectorUnit[metric] = scopedMetric.Unit\n\t\t\t\t}\n\t\t\t\t// Collect Data\n\t\t\t\tfor _, ser := range scopedMetric.Series {\n\t\t\t\t\t_, okData := collectorData[metric]\n\t\t\t\t\t// Init With Datasize > 0\n\t\t\t\t\tif !okData && len(ser.Data) != 0 {\n\t\t\t\t\t\tcollectorData[metric] = make([]schema.Float, len(ser.Data))\n\t\t\t\t\t} else if !okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip init: no data -> %s at %s; size %d\", metric, ser.Hostname, len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t\t// Sum if init'd and matching size\n\t\t\t\t\tif okData && len(ser.Data) == len(collectorData[metric]) {\n\t\t\t\t\t\tfor i, val := range ser.Data {\n\t\t\t\t\t\t\tif val.IsNaN() {\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tcollectorData[metric][i] += val\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else if okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip sum: data diff -> %s at %s; want size %d, have size %d\", metric, ser.Hostname, len(collectorData[metric]), len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tfor metricName, data := range collectorData {\n\t\t// use ccUnits for backend normalization to \"Tera\"\n\t\tp_old := ccunit.NewPrefix(collectorUnit[metricName].Prefix)\n\t\tp_new := ccunit.NewPrefix(\"T\")\n\t\tconvFunc := ccunit.GetPrefixPrefixFactor(p_old, p_new)\n\t\tu_new := schema.Unit{Prefix: p_new.Prefix(), Base: collectorUnit[metricName].Base}\n\n\t\troundedData := make([]schema.Float, 0)\n\t\tfor _, v_old := range data {\n\t\t\tv_new := math.Round(convFunc(float64(v_old)).(float64)*100.0) / 100.0\n\t\t\troundedData = append(roundedData, schema.Float(v_new))\n\t\t}\n\n\t\tcm := model.ClusterMetricWithName{\n\t\t\tName:     metricName,\n\t\t\tUnit:     &u_new,\n\t\t\tTimestep: collectorTimestep[metricName],\n\t\t\tData:     roundedData,\n\t\t}\n\n\t\tclusterMetrics.Metrics = append(clusterMetrics.Metrics, &cm)\n\t}\n\n\treturn &clusterMetrics, nil\n}\n\n// NumberOfNodes is the resolver for the numberOfNodes field.\nfunc (r *subClusterResolver) NumberOfNodes(ctx context.Context, obj *schema.SubCluster) (int, error) {\n\tnodeList, err := archive.ParseNodeList(obj.Nodes)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn nodeList.NodeCount(), nil\n}\n\n// Cluster returns generated.ClusterResolver implementation.\nfunc (r *Resolver) Cluster() generated.ClusterResolver { return &clusterResolver{r} }\n\n// Job returns generated.JobResolver implementation.\nfunc (r *Resolver) Job() generated.JobResolver { return &jobResolver{r} }\n\n// MetricValue returns generated.MetricValueResolver implementation.\nfunc (r *Resolver) MetricValue() generated.MetricValueResolver { return &metricValueResolver{r} }\n\n// Mutation returns generated.MutationResolver implementation.\nfunc (r *Resolver) Mutation() generated.MutationResolver { return &mutationResolver{r} }\n\n// Node returns generated.NodeResolver implementation.\nfunc (r *Resolver) Node() generated.NodeResolver { return &nodeResolver{r} }\n\n// Query returns generated.QueryResolver implementation.\nfunc (r *Resolver) Query() generated.QueryResolver { return &queryResolver{r} }\n\n// SubCluster returns generated.SubClusterResolver implementation.\nfunc (r *Resolver) SubCluster() generated.SubClusterResolver { return &subClusterResolver{r} }\n\ntype clusterResolver struct{ *Resolver }\ntype jobResolver struct{ *Resolver }\ntype metricValueResolver struct{ *Resolver }\ntype mutationResolver struct{ *Resolver }\ntype nodeResolver struct{ *Resolver }\ntype queryResolver struct{ *Resolver }\ntype subClusterResolver struct{ *Resolver }\n","structuredPatch":[{"oldStart":886,"oldLines":9,"newStart":886,"newLines":9,"lines":["   }","   if resolution == nil {","     if config.Keys.EnableResampling != nil {","-      defaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)","-      resolution = &defaultRes","-    } else {","+      resolution = resolveResolutionFromDefaultPolicy(duration, cluster, metrics)","+    }","+    if resolution == nil {","       defaultRes := 0","       resolution = &defaultRes","     }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"ff57d8e9-ed96-44ba-b969-1ccb4bdb8574","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"b05ea225-09d6-4902-8314-26f158fbdde8","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01D8oruSBiJxVpLPxEibq3ix","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/resample.go has been updated successfully."}]},"uuid":"0e5bce49-25c5-480b-9b2e-89c92db376a2","timestamp":"2026-03-20T06:25:54.030Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/resample.go","oldString":"import (\n\t\"context\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n)","newString":"import (\n\t\"context\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage graph\n\nimport (\n\t\"context\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n)\n\n// resolveResolutionFromPolicy reads the user's resample policy preference and\n// computes a resolution based on job duration and metric frequency. Returns nil\n// if the user has no policy set.\nfunc resolveResolutionFromPolicy(ctx context.Context, duration int64, cluster string, metrics []string) *int {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil\n\t}\n\n\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n\tif err != nil {\n\t\treturn nil\n\t}\n\n\tpolicyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]\n\tif !ok {\n\t\treturn nil\n\t}\n\tpolicyStr, ok := policyVal.(string)\n\tif !ok || policyStr == \"\" {\n\t\treturn nil\n\t}\n\n\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n\tif targetPoints == 0 {\n\t\treturn nil\n\t}\n\n\t// Find the smallest metric frequency across the requested metrics\n\tfrequency := smallestFrequency(cluster, metrics)\n\tif frequency <= 0 {\n\t\treturn nil\n\t}\n\n\tres := metricdispatch.ComputeResolution(duration, int64(frequency), targetPoints)\n\treturn &res\n}\n\n// resolveResampleAlgo returns the resampling algorithm name to use, checking\n// the explicit GraphQL parameter first, then the user's preference.\nfunc resolveResampleAlgo(ctx context.Context, resampleAlgo *model.ResampleAlgo) string {\n\tif resampleAlgo != nil {\n\t\treturn strings.ToLower(resampleAlgo.String())\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn \"\"\n\t}\n\n\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n\tif err != nil {\n\t\treturn \"\"\n\t}\n\n\talgoVal, ok := conf[\"plotConfiguration_resampleAlgo\"]\n\tif !ok {\n\t\treturn \"\"\n\t}\n\talgoStr, ok := algoVal.(string)\n\tif !ok {\n\t\treturn \"\"\n\t}\n\n\treturn algoStr\n}\n\n// smallestFrequency returns the smallest metric timestep (in seconds) among the\n// requested metrics for the given cluster. Falls back to 0 if nothing is found.\nfunc smallestFrequency(cluster string, metrics []string) int {\n\tcl := archive.GetCluster(cluster)\n\tif cl == nil {\n\t\treturn 0\n\t}\n\n\tminFreq := 0\n\tfor _, mc := range cl.MetricConfig {\n\t\tif len(metrics) > 0 {\n\t\t\tfound := false\n\t\t\tfor _, m := range metrics {\n\t\t\t\tif mc.Name == m {\n\t\t\t\t\tfound = true\n\t\t\t\t\tbreak\n\t\t\t\t}\n\t\t\t}\n\t\t\tif !found {\n\t\t\t\tcontinue\n\t\t\t}\n\t\t}\n\t\tif minFreq == 0 || mc.Timestep < minFreq {\n\t\t\tminFreq = mc.Timestep\n\t\t}\n\t}\n\n\treturn minFreq\n}\n","structuredPatch":[{"oldStart":8,"oldLines":6,"newStart":8,"newLines":7,"lines":["   \"context\"","   \"strings\""," ","+  \"github.com/ClusterCockpit/cc-backend/internal/config\"","   \"github.com/ClusterCockpit/cc-backend/internal/graph/model\"","   \"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"","   \"github.com/ClusterCockpit/cc-backend/internal/repository\""]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"b05ea225-09d6-4902-8314-26f158fbdde8","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"4ff06107-a8f2-450e-b02c-99dbfdbd83fa","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PmpVvouJJaWSedp1UQBZ8U","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/resample.go has been updated successfully."}]},"uuid":"82be66f2-d74c-40b5-bd97-8e674341a34a","timestamp":"2026-03-20T06:25:58.587Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/resample.go","oldString":"\treturn algoStr\n}\n\n// smallestFrequency","newString":"\t// Fall back to global default algo\n\tif config.Keys.EnableResampling != nil && config.Keys.EnableResampling.DefaultAlgo != \"\" {\n\t\treturn config.Keys.EnableResampling.DefaultAlgo\n\t}\n\n\treturn algoStr\n}\n\n// resolveResolutionFromDefaultPolicy computes a resolution using the global\n// default policy from config. Returns nil if no policy is configured.\nfunc resolveResolutionFromDefaultPolicy(duration int64, cluster string, metrics []string) *int {\n\tcfg := config.Keys.EnableResampling\n\tif cfg == nil {\n\t\treturn nil\n\t}\n\n\tpolicyStr := cfg.DefaultPolicy\n\tif policyStr == \"\" {\n\t\tpolicyStr = \"medium\"\n\t}\n\n\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n\tif targetPoints == 0 {\n\t\treturn nil\n\t}\n\n\tfrequency := smallestFrequency(cluster, metrics)\n\tif frequency <= 0 {\n\t\treturn nil\n\t}\n\n\tres := metricdispatch.ComputeResolution(duration, int64(frequency), targetPoints)\n\treturn &res\n}\n\n// smallestFrequency","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage graph\n\nimport (\n\t\"context\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n)\n\n// resolveResolutionFromPolicy reads the user's resample policy preference and\n// computes a resolution based on job duration and metric frequency. Returns nil\n// if the user has no policy set.\nfunc resolveResolutionFromPolicy(ctx context.Context, duration int64, cluster string, metrics []string) *int {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil\n\t}\n\n\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n\tif err != nil {\n\t\treturn nil\n\t}\n\n\tpolicyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]\n\tif !ok {\n\t\treturn nil\n\t}\n\tpolicyStr, ok := policyVal.(string)\n\tif !ok || policyStr == \"\" {\n\t\treturn nil\n\t}\n\n\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n\tif targetPoints == 0 {\n\t\treturn nil\n\t}\n\n\t// Find the smallest metric frequency across the requested metrics\n\tfrequency := smallestFrequency(cluster, metrics)\n\tif frequency <= 0 {\n\t\treturn nil\n\t}\n\n\tres := metricdispatch.ComputeResolution(duration, int64(frequency), targetPoints)\n\treturn &res\n}\n\n// resolveResampleAlgo returns the resampling algorithm name to use, checking\n// the explicit GraphQL parameter first, then the user's preference.\nfunc resolveResampleAlgo(ctx context.Context, resampleAlgo *model.ResampleAlgo) string {\n\tif resampleAlgo != nil {\n\t\treturn strings.ToLower(resampleAlgo.String())\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn \"\"\n\t}\n\n\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n\tif err != nil {\n\t\treturn \"\"\n\t}\n\n\talgoVal, ok := conf[\"plotConfiguration_resampleAlgo\"]\n\tif !ok {\n\t\treturn \"\"\n\t}\n\talgoStr, ok := algoVal.(string)\n\tif !ok {\n\t\treturn \"\"\n\t}\n\n\treturn algoStr\n}\n\n// smallestFrequency returns the smallest metric timestep (in seconds) among the\n// requested metrics for the given cluster. Falls back to 0 if nothing is found.\nfunc smallestFrequency(cluster string, metrics []string) int {\n\tcl := archive.GetCluster(cluster)\n\tif cl == nil {\n\t\treturn 0\n\t}\n\n\tminFreq := 0\n\tfor _, mc := range cl.MetricConfig {\n\t\tif len(metrics) > 0 {\n\t\t\tfound := false\n\t\t\tfor _, m := range metrics {\n\t\t\t\tif mc.Name == m {\n\t\t\t\t\tfound = true\n\t\t\t\t\tbreak\n\t\t\t\t}\n\t\t\t}\n\t\t\tif !found {\n\t\t\t\tcontinue\n\t\t\t}\n\t\t}\n\t\tif minFreq == 0 || mc.Timestep < minFreq {\n\t\t\tminFreq = mc.Timestep\n\t\t}\n\t}\n\n\treturn minFreq\n}\n","structuredPatch":[{"oldStart":80,"oldLines":9,"newStart":80,"newLines":42,"lines":["     return \"\"","   }"," ","+  // Fall back to global default algo","+  if config.Keys.EnableResampling != nil && config.Keys.EnableResampling.DefaultAlgo != \"\" {","+    return config.Keys.EnableResampling.DefaultAlgo","+  }","+","   return algoStr"," }"," ","+// resolveResolutionFromDefaultPolicy computes a resolution using the global","+// default policy from config. Returns nil if no policy is configured.","+func resolveResolutionFromDefaultPolicy(duration int64, cluster string, metrics []string) *int {","+  cfg := config.Keys.EnableResampling","+  if cfg == nil {","+    return nil","+  }","+","+  policyStr := cfg.DefaultPolicy","+  if policyStr == \"\" {","+    policyStr = \"medium\"","+  }","+","+  policy := metricdispatch.ResamplePolicy(policyStr)","+  targetPoints := metricdispatch.TargetPointsForPolicy(policy)","+  if targetPoints == 0 {","+    return nil","+  }","+","+  frequency := smallestFrequency(cluster, metrics)","+  if frequency <= 0 {","+    return nil","+  }","+","+  res := metricdispatch.ComputeResolution(duration, int64(frequency), targetPoints)","+  return &res","+}","+"," // smallestFrequency returns the smallest metric timestep (in seconds) among the"," // requested metrics for the given cluster. Falls back to 0 if nothing is found."," func smallestFrequency(cluster string, metrics []string) int {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"4ff06107-a8f2-450e-b02c-99dbfdbd83fa","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"82be66f2-d74c-40b5-bd97-8e674341a34a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PThdk52Hk3j2dsBDnip5o4","type":"message","role":"assistant","content":[{"type":"text","text":"The import error is transient — `config` is used further down but the LSP might not see it yet. Let me verify the file looks correct."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1049,"cache_read_input_tokens":47791,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1049},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrahH9D9qaafquDaeEu","type":"assistant","uuid":"395051d3-4e95-4297-bfcc-5617ed856b20","timestamp":"2026-03-20T06:26:13.367Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"2ff3b954-1905-49e7-956f-06bbc6e6e14e","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01LzSsa1XhoMmQnksCv7vcdg","toolUseID":"toolu_01LzSsa1XhoMmQnksCv7vcdg","timestamp":"2026-03-20T06:26:13.537Z","uuid":"e667ede9-0485-4c19-b5f5-aaec8fe2c56f","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"2ff3b954-1905-49e7-956f-06bbc6e6e14e","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LzSsa1XhoMmQnksCv7vcdg","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package graph\n     6→\n     7→import (\n     8→\t\"context\"\n     9→\t\"strings\"\n    10→\n    11→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    12→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    13→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    14→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    15→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    16→)\n    17→\n    18→// resolveResolutionFromPolicy reads the user's resample policy preference and\n    19→// computes a resolution based on job duration and metric frequency. Returns nil\n    20→// if the user has no policy set.\n    21→func resolveResolutionFromPolicy(ctx context.Context, duration int64, cluster string, metrics []string) *int {\n    22→\tuser := repository.GetUserFromContext(ctx)\n    23→\tif user == nil {\n    24→\t\treturn nil\n    25→\t}\n    26→\n    27→\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n    28→\tif err != nil {\n    29→\t\treturn nil\n    30→\t}\n    31→\n    32→\tpolicyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]\n    33→\tif !ok {\n    34→\t\treturn nil\n    35→\t}\n    36→\tpolicyStr, ok := policyVal.(string)\n    37→\tif !ok || policyStr == \"\" {\n    38→\t\treturn nil\n    39→\t}\n    40→\n    41→\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n    42→\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n    43→\tif targetPoints == 0 {\n    44→\t\treturn nil\n    45→\t}\n    46→\n    47→\t// Find the smallest metric frequency across the requested metrics\n    48→\tfrequency := smallestFrequency(cluster, metrics)\n    49→\tif frequency <= 0 {\n    50→\t\treturn nil\n    51→\t}\n    52→\n    53→\tres := metricdispatch.ComputeResolution(duration, int64(frequency), targetPoints)\n    54→\treturn &res\n    55→}\n    56→\n    57→// resolveResampleAlgo returns the resampling algorithm name to use, checking\n    58→// the explicit GraphQL parameter first, then the user's preference.\n    59→func resolveResampleAlgo(ctx context.Context, resampleAlgo *model.ResampleAlgo) string {\n    60→\tif resampleAlgo != nil {\n    61→\t\treturn strings.ToLower(resampleAlgo.String())\n    62→\t}\n    63→\n    64→\tuser := repository.GetUserFromContext(ctx)\n    65→\tif user == nil {\n    66→\t\treturn \"\"\n    67→\t}\n    68→\n    69→\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n    70→\tif err != nil {\n    71→\t\treturn \"\"\n    72→\t}\n    73→\n    74→\talgoVal, ok := conf[\"plotConfiguration_resampleAlgo\"]\n    75→\tif !ok {\n    76→\t\treturn \"\"\n    77→\t}\n    78→\talgoStr, ok := algoVal.(string)\n    79→\tif !ok {\n    80→\t\treturn \"\"\n    81→\t}\n    82→\n    83→\t// Fall back to global default algo\n    84→\tif config.Keys.EnableResampling != nil && config.Keys.EnableResampling.DefaultAlgo != \"\" {\n    85→\t\treturn config.Keys.EnableResampling.DefaultAlgo\n    86→\t}\n    87→\n    88→\treturn algoStr\n    89→}\n    90→\n    91→// resolveResolutionFromDefaultPolicy computes a resolution using the global\n    92→// default policy from config. Returns nil if no policy is configured.\n    93→func resolveResolutionFromDefaultPolicy(duration int64, cluster string, metrics []string) *int {\n    94→\tcfg := config.Keys.EnableResampling\n    95→\tif cfg == nil {\n    96→\t\treturn nil\n    97→\t}\n    98→\n    99→\tpolicyStr := cfg.DefaultPolicy\n   100→\tif policyStr == \"\" {\n   101→\t\tpolicyStr = \"medium\"\n   102→\t}\n   103→\n   104→\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n   105→\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n   106→\tif targetPoints == 0 {\n   107→\t\treturn nil\n   108→\t}\n   109→\n   110→\tfrequency := smallestFrequency(cluster, metrics)\n   111→\tif frequency <= 0 {\n   112→\t\treturn nil\n   113→\t}\n   114→\n   115→\tres := metricdispatch.ComputeResolution(duration, int64(frequency), targetPoints)\n   116→\treturn &res\n   117→}\n   118→\n   119→// smallestFrequency returns the smallest metric timestep (in seconds) among the\n   120→// requested metrics for the given cluster. Falls back to 0 if nothing is found.\n   121→func smallestFrequency(cluster string, metrics []string) int {\n   122→\tcl := archive.GetCluster(cluster)\n   123→\tif cl == nil {\n   124→\t\treturn 0\n   125→\t}\n   126→\n   127→\tminFreq := 0\n   128→\tfor _, mc := range cl.MetricConfig {\n   129→\t\tif len(metrics) > 0 {\n   130→\t\t\tfound := false\n   131→\t\t\tfor _, m := range metrics {\n   132→\t\t\t\tif mc.Name == m {\n   133→\t\t\t\t\tfound = true\n   134→\t\t\t\t\tbreak\n   135→\t\t\t\t}\n   136→\t\t\t}\n   137→\t\t\tif !found {\n   138→\t\t\t\tcontinue\n   139→\t\t\t}\n   140→\t\t}\n   141→\t\tif minFreq == 0 || mc.Timestep < minFreq {\n   142→\t\t\tminFreq = mc.Timestep\n   143→\t\t}\n   144→\t}\n   145→\n   146→\treturn minFreq\n   147→}\n   148→"}]},"uuid":"5e134656-61d5-4e95-b4b3-854c7688ab9c","timestamp":"2026-03-20T06:26:13.537Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/resample.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage graph\n\nimport (\n\t\"context\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n)\n\n// resolveResolutionFromPolicy reads the user's resample policy preference and\n// computes a resolution based on job duration and metric frequency. Returns nil\n// if the user has no policy set.\nfunc resolveResolutionFromPolicy(ctx context.Context, duration int64, cluster string, metrics []string) *int {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil\n\t}\n\n\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n\tif err != nil {\n\t\treturn nil\n\t}\n\n\tpolicyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]\n\tif !ok {\n\t\treturn nil\n\t}\n\tpolicyStr, ok := policyVal.(string)\n\tif !ok || policyStr == \"\" {\n\t\treturn nil\n\t}\n\n\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n\tif targetPoints == 0 {\n\t\treturn nil\n\t}\n\n\t// Find the smallest metric frequency across the requested metrics\n\tfrequency := smallestFrequency(cluster, metrics)\n\tif frequency <= 0 {\n\t\treturn nil\n\t}\n\n\tres := metricdispatch.ComputeResolution(duration, int64(frequency), targetPoints)\n\treturn &res\n}\n\n// resolveResampleAlgo returns the resampling algorithm name to use, checking\n// the explicit GraphQL parameter first, then the user's preference.\nfunc resolveResampleAlgo(ctx context.Context, resampleAlgo *model.ResampleAlgo) string {\n\tif resampleAlgo != nil {\n\t\treturn strings.ToLower(resampleAlgo.String())\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn \"\"\n\t}\n\n\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n\tif err != nil {\n\t\treturn \"\"\n\t}\n\n\talgoVal, ok := conf[\"plotConfiguration_resampleAlgo\"]\n\tif !ok {\n\t\treturn \"\"\n\t}\n\talgoStr, ok := algoVal.(string)\n\tif !ok {\n\t\treturn \"\"\n\t}\n\n\t// Fall back to global default algo\n\tif config.Keys.EnableResampling != nil && config.Keys.EnableResampling.DefaultAlgo != \"\" {\n\t\treturn config.Keys.EnableResampling.DefaultAlgo\n\t}\n\n\treturn algoStr\n}\n\n// resolveResolutionFromDefaultPolicy computes a resolution using the global\n// default policy from config. Returns nil if no policy is configured.\nfunc resolveResolutionFromDefaultPolicy(duration int64, cluster string, metrics []string) *int {\n\tcfg := config.Keys.EnableResampling\n\tif cfg == nil {\n\t\treturn nil\n\t}\n\n\tpolicyStr := cfg.DefaultPolicy\n\tif policyStr == \"\" {\n\t\tpolicyStr = \"medium\"\n\t}\n\n\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n\tif targetPoints == 0 {\n\t\treturn nil\n\t}\n\n\tfrequency := smallestFrequency(cluster, metrics)\n\tif frequency <= 0 {\n\t\treturn nil\n\t}\n\n\tres := metricdispatch.ComputeResolution(duration, int64(frequency), targetPoints)\n\treturn &res\n}\n\n// smallestFrequency returns the smallest metric timestep (in seconds) among the\n// requested metrics for the given cluster. Falls back to 0 if nothing is found.\nfunc smallestFrequency(cluster string, metrics []string) int {\n\tcl := archive.GetCluster(cluster)\n\tif cl == nil {\n\t\treturn 0\n\t}\n\n\tminFreq := 0\n\tfor _, mc := range cl.MetricConfig {\n\t\tif len(metrics) > 0 {\n\t\t\tfound := false\n\t\t\tfor _, m := range metrics {\n\t\t\t\tif mc.Name == m {\n\t\t\t\t\tfound = true\n\t\t\t\t\tbreak\n\t\t\t\t}\n\t\t\t}\n\t\t\tif !found {\n\t\t\t\tcontinue\n\t\t\t}\n\t\t}\n\t\tif minFreq == 0 || mc.Timestep < minFreq {\n\t\t\tminFreq = mc.Timestep\n\t\t}\n\t}\n\n\treturn minFreq\n}\n","numLines":148,"startLine":1,"totalLines":148}},"sourceToolAssistantUUID":"2ff3b954-1905-49e7-956f-06bbc6e6e14e","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage graph\n\nimport (\n\t\"context\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n)\n\n// resolveResolutionFromPolicy reads the user's resample policy preference and\n// computes a resolution based on job duration and metric frequency. Returns nil\n// if the user has no policy set.\nfunc resolveResolutionFromPolicy(ctx context.Context, duration int64, cluster string, metrics []string) *int {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil\n\t}\n\n\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n\tif err != nil {\n\t\treturn nil\n\t}\n\n\tpolicyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]\n\tif !ok {\n\t\treturn nil\n\t}\n\tpolicyStr, ok := policyVal.(string)\n\tif !ok || policyStr == \"\" {\n\t\treturn nil\n\t}\n\n\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n\tif targetPoints == 0 {\n\t\treturn nil\n\t}\n\n\t// Find the smallest metric frequency across the requested metrics\n\tfrequency := smallestFrequency(cluster, metrics)\n\tif frequency <= 0 {\n\t\treturn nil\n\t}\n\n\tres := metricdispatch.ComputeResolution(duration, int64(frequency), targetPoints)\n\treturn &res\n}\n\n// resolveResampleAlgo returns the resampling algorithm name to use, checking\n// the explicit GraphQL parameter first, then the user's preference.\nfunc resolveResampleAlgo(ctx context.Context, resampleAlgo *model.ResampleAlgo) string {\n\tif resampleAlgo != nil {\n\t\treturn strings.ToLower(resampleAlgo.String())\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn \"\"\n\t}\n\n\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n\tif err != nil {\n\t\treturn \"\"\n\t}\n\n\talgoVal, ok := conf[\"plotConfiguration_resampleAlgo\"]\n\tif !ok {\n\t\treturn \"\"\n\t}\n\talgoStr, ok := algoVal.(string)\n\tif !ok {\n\t\treturn \"\"\n\t}\n\n\t// Fall back to global default algo\n\tif config.Keys.EnableResampling != nil && config.Keys.EnableResampling.DefaultAlgo != \"\" {\n\t\treturn config.Keys.EnableResampling.DefaultAlgo\n\t}\n\n\treturn algoStr\n}\n\n// resolveResolutionFromDefaultPolicy computes a resolution using the global\n// default policy from config. Returns nil if no policy is configured.\nfunc resolveResolutionFromDefaultPolicy(duration int64, cluster string, metrics []string) *int {\n\tcfg := config.Keys.EnableResampling\n\tif cfg == nil {\n\t\treturn nil\n\t}\n\n\tpolicyStr := cfg.DefaultPolicy\n\tif policyStr == \"\" {\n\t\tpolicyStr = \"medium\"\n\t}\n\n\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n\tif targetPoints == 0 {\n\t\treturn nil\n\t}\n\n\tfrequency := smallestFrequency(cluster, metrics)\n\tif frequency <= 0 {\n\t\treturn nil\n\t}\n\n\tres := metricdispatch.ComputeResolution(duration, int64(frequency), targetPoints)\n\treturn &res\n}\n\n// smallestFrequency returns the smallest metric timestep (in seconds) among the\n// requested metrics for the given cluster. Falls back to 0 if nothing is found.\nfunc smallestFrequency(cluster string, metrics []string) int {\n\tcl := archive.GetCluster(cluster)\n\tif cl == nil {\n\t\treturn 0\n\t}\n\n\tminFreq := 0\n\tfor _, mc := range cl.MetricConfig {\n\t\tif len(metrics) > 0 {\n\t\t\tfound := false\n\t\t\tfor _, m := range metrics {\n\t\t\t\tif mc.Name == m {\n\t\t\t\t\tfound = true\n\t\t\t\t\tbreak\n\t\t\t\t}\n\t\t\t}\n\t\t\tif !found {\n\t\t\t\tcontinue\n\t\t\t}\n\t\t}\n\t\tif minFreq == 0 || mc.Timestep < minFreq {\n\t\t\tminFreq = mc.Timestep\n\t\t}\n\t}\n\n\treturn minFreq\n}\n","structuredPatch":[{"oldStart":72,"oldLines":20,"newStart":72,"newLines":18,"lines":["   }"," ","   algoVal, ok := conf[\"plotConfiguration_resampleAlgo\"]","-  if !ok {","-    return \"\"","+  if ok {","+    if algoStr, ok := algoVal.(string); ok && algoStr != \"\" {","+      return algoStr","+    }","   }","-  algoStr, ok := algoVal.(string)","-  if !ok {","-    return \"\"","-  }"," ","   // Fall back to global default algo","   if config.Keys.EnableResampling != nil && config.Keys.EnableResampling.DefaultAlgo != \"\" {","     return config.Keys.EnableResampling.DefaultAlgo","   }"," ","-  return algoStr","+  return \"\""," }"," "," // resolveResolutionFromDefaultPolicy computes a resolution using the global"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"dd70b0a4-97b7-4705-9bd6-3673b27fc2f2","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"1ab370df-3de1-44f6-afb9-7a4eb06cbc6b","isSidechain":false,"promptId":"1822ac8b-6591-4977-8dec-79c4374fa5bd","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01N2poQ43Li7ev6Jo3LHcCmG","type":"tool_result","content":"     1→# Replace file-based resampling config with policy-based approach\n     2→\n     3→## Context\n     4→\n     5→The codebase has two resampling mechanisms:\n     6→1. **Old (file-based)**: `config.json` defines explicit `resolutions` array and `trigger` count. The frontend uses these to pick from a fixed set of resolution steps on zoom.\n     7→2. **New (policy-based)**: Users choose a policy (\"low\"/\"medium\"/\"high\") mapping to target point counts (200/500/1000). Resolution is computed dynamically from `duration / targetPoints`. This is already fully implemented in the GraphQL resolvers and frontend MetricPlot zoom logic.\n     8→\n     9→The problem: `config.json` still uses the old `resolutions`+`trigger` schema, and falls back to it when no user policy is set. We should replace this with a default policy+algorithm in config, so the whole system is consistently policy-based.\n    10→\n    11→## Changes\n    12→\n    13→### 1. `internal/config/config.go` — Update `ResampleConfig` struct\n    14→- Remove `Resolutions []int` and `Trigger int` fields\n    15→- Add `DefaultPolicy string` (`json:\"default-policy\"`) — default resample policy (\"low\", \"medium\", \"high\")\n    16→- Add `DefaultAlgo string` (`json:\"default-algo\"`) — default resample algorithm (\"lttb\", \"average\", \"simple\")\n    17→- Keep `MinimumPoints int` — still useful for the resampler library\n    18→- Keep `TargetPoints int` — used by policy-derived runtime config\n    19→\n    20→### 2. `internal/config/schema.go` — Update JSON schema\n    21→- Replace `trigger`/`resolutions` required properties with `default-policy`\n    22→- Add `default-policy` (string, enum: [\"low\",\"medium\",\"high\"]) and `default-algo` (string, enum: [\"lttb\",\"average\",\"simple\"]) properties\n    23→- Remove `trigger` and `resolutions` properties\n    24→- No required fields (presence of `\"resampling\": {}` is enough to enable it)\n    25→\n    26→### 3. `internal/routerConfig/routes.go` — Update `resamplingForUser()`\n    27→- When falling back to globalCfg (no user policy set), use `globalCfg.DefaultPolicy` to compute `TargetPoints` and `Trigger` dynamically, same as the user-policy path\n    28→- If `DefaultPolicy` is empty, use \"medium\" as default\n    29→\n    30→### 4. `internal/graph/schema.resolvers.go` — Update fallback resolution logic\n    31→- In `JobMetrics()` and `NodeMetricsList()`: replace `slices.Max(config.Keys.EnableResampling.Resolutions)` fallback with policy-based computation using `config.Keys.EnableResampling.DefaultPolicy`\n    32→- Use `TargetPointsForPolicy()` + `ComputeResolution()` instead of picking from a resolutions array\n    33→- Also apply `DefaultAlgo` when no user algo preference is set\n    34→\n    35→### 5. `internal/graph/resample.go` — Update `resolveResampleAlgo()`\n    36→- After checking user preference, fall back to `config.Keys.EnableResampling.DefaultAlgo` before returning \"\"\n    37→\n    38→### 6. `config.json` (local dev) — Update to new format\n    39→```json\n    40→\"resampling\": {\n    41→  \"default-policy\": \"medium\",\n    42→  \"default-algo\": \"lttb\"\n    43→}\n    44→```\n    45→\n    46→### 7. `configs/config.json` (example config) — Update to new format\n    47→Same as above, keeping `minimum-points` if desired.\n    48→\n    49→### 8. Frontend: No changes needed\n    50→The frontend already handles both modes:\n    51→- Policy-based: uses `targetPoints` to compute resolution dynamically\n    52→- Array-based: uses `resolutions` array for fixed steps\n    53→\n    54→Since `resamplingForUser()` already returns a `ResampleConfig` with `TargetPoints`+`Trigger` (no `Resolutions`), the frontend will use the policy path.\n    55→\n    56→## Files to modify\n    57→1. `internal/config/config.go` (struct + Init)\n    58→2. `internal/config/schema.go` (JSON schema)\n    59→3. `internal/routerConfig/routes.go` (`resamplingForUser`)\n    60→4. `internal/graph/schema.resolvers.go` (resolver fallbacks)\n    61→5. `internal/graph/resample.go` (`resolveResampleAlgo` fallback)\n    62→6. `config.json` (local config)\n    63→7. `configs/config.json` (example config)\n    64→\n    65→## Verification\n    66→1. `go build ./...` — must compile\n    67→2. `go test ./internal/metricdispatch/...` — resample policy tests pass\n    68→3. `go test ./internal/config/...` — if config tests exist\n    69→4. Start with `./cc-backend -server -dev` and verify `/config` page shows resampling options\n    70→5. Verify metric plots on job pages still support zoom/resampling\n    71→"}]},"uuid":"87ebb638-8505-4c68-8964-e66bf5e072e0","timestamp":"2026-03-20T06:49:12.454Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/.claude/plans/bubbly-shimmying-sedgewick.md","content":"# Replace file-based resampling config with policy-based approach\n\n## Context\n\nThe codebase has two resampling mechanisms:\n1. **Old (file-based)**: `config.json` defines explicit `resolutions` array and `trigger` count. The frontend uses these to pick from a fixed set of resolution steps on zoom.\n2. **New (policy-based)**: Users choose a policy (\"low\"/\"medium\"/\"high\") mapping to target point counts (200/500/1000). Resolution is computed dynamically from `duration / targetPoints`. This is already fully implemented in the GraphQL resolvers and frontend MetricPlot zoom logic.\n\nThe problem: `config.json` still uses the old `resolutions`+`trigger` schema, and falls back to it when no user policy is set. We should replace this with a default policy+algorithm in config, so the whole system is consistently policy-based.\n\n## Changes\n\n### 1. `internal/config/config.go` — Update `ResampleConfig` struct\n- Remove `Resolutions []int` and `Trigger int` fields\n- Add `DefaultPolicy string` (`json:\"default-policy\"`) — default resample policy (\"low\", \"medium\", \"high\")\n- Add `DefaultAlgo string` (`json:\"default-algo\"`) — default resample algorithm (\"lttb\", \"average\", \"simple\")\n- Keep `MinimumPoints int` — still useful for the resampler library\n- Keep `TargetPoints int` — used by policy-derived runtime config\n\n### 2. `internal/config/schema.go` — Update JSON schema\n- Replace `trigger`/`resolutions` required properties with `default-policy`\n- Add `default-policy` (string, enum: [\"low\",\"medium\",\"high\"]) and `default-algo` (string, enum: [\"lttb\",\"average\",\"simple\"]) properties\n- Remove `trigger` and `resolutions` properties\n- No required fields (presence of `\"resampling\": {}` is enough to enable it)\n\n### 3. `internal/routerConfig/routes.go` — Update `resamplingForUser()`\n- When falling back to globalCfg (no user policy set), use `globalCfg.DefaultPolicy` to compute `TargetPoints` and `Trigger` dynamically, same as the user-policy path\n- If `DefaultPolicy` is empty, use \"medium\" as default\n\n### 4. `internal/graph/schema.resolvers.go` — Update fallback resolution logic\n- In `JobMetrics()` and `NodeMetricsList()`: replace `slices.Max(config.Keys.EnableResampling.Resolutions)` fallback with policy-based computation using `config.Keys.EnableResampling.DefaultPolicy`\n- Use `TargetPointsForPolicy()` + `ComputeResolution()` instead of picking from a resolutions array\n- Also apply `DefaultAlgo` when no user algo preference is set\n\n### 5. `internal/graph/resample.go` — Update `resolveResampleAlgo()`\n- After checking user preference, fall back to `config.Keys.EnableResampling.DefaultAlgo` before returning \"\"\n\n### 6. `config.json` (local dev) — Update to new format\n```json\n\"resampling\": {\n  \"default-policy\": \"medium\",\n  \"default-algo\": \"lttb\"\n}\n```\n\n### 7. `configs/config.json` (example config) — Update to new format\nSame as above, keeping `minimum-points` if desired.\n\n### 8. Frontend: No changes needed\nThe frontend already handles both modes:\n- Policy-based: uses `targetPoints` to compute resolution dynamically\n- Array-based: uses `resolutions` array for fixed steps\n\nSince `resamplingForUser()` already returns a `ResampleConfig` with `TargetPoints`+`Trigger` (no `Resolutions`), the frontend will use the policy path.\n\n## Files to modify\n1. `internal/config/config.go` (struct + Init)\n2. `internal/config/schema.go` (JSON schema)\n3. `internal/routerConfig/routes.go` (`resamplingForUser`)\n4. `internal/graph/schema.resolvers.go` (resolver fallbacks)\n5. `internal/graph/resample.go` (`resolveResampleAlgo` fallback)\n6. `config.json` (local config)\n7. `configs/config.json` (example config)\n\n## Verification\n1. `go build ./...` — must compile\n2. `go test ./internal/metricdispatch/...` — resample policy tests pass\n3. `go test ./internal/config/...` — if config tests exist\n4. Start with `./cc-backend -server -dev` and verify `/config` page shows resampling options\n5. Verify metric plots on job pages still support zoom/resampling\n","numLines":71,"startLine":1,"totalLines":71}},"sourceToolAssistantUUID":"1ab370df-3de1-44f6-afb9-7a4eb06cbc6b","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package config implements the program configuration data structures, validation and parsing\n     7→package config\n     8→\n     9→import (\n    10→\t\"bytes\"\n    11→\t\"encoding/json\"\n    12→\t\"time\"\n    13→\n    14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    15→\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n    16→)\n    17→\n    18→type ProgramConfig struct {\n    19→\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n    20→\tAddr string `json:\"addr\"`\n    21→\n    22→\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n    23→\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n    24→\n    25→\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n    26→\n    27→\t// Drop root permissions once .env was read and the port was taken.\n    28→\tUser  string `json:\"user\"`\n    29→\tGroup string `json:\"group\"`\n    30→\n    31→\t// Disable authentication (for everything: API, Web-UI, ...)\n    32→\tDisableAuthentication bool `json:\"disable-authentication\"`\n    33→\n    34→\t// If `embed-static-files` is true (default), the frontend files are directly\n    35→\t// embeded into the go binary and expected to be in web/frontend. Only if\n    36→\t// it is false the files in `static-files` are served instead.\n    37→\tEmbedStaticFiles bool   `json:\"embed-static-files\"`\n    38→\tStaticFiles      string `json:\"static-files\"`\n    39→\n    40→\t// Path to SQLite database file\n    41→\tDB string `json:\"db\"`\n    42→\n    43→\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n    44→\n    45→\t// Validate json input against schema\n    46→\tValidate bool `json:\"validate\"`\n    47→\n    48→\t// If 0 or empty, the session does not expire!\n    49→\tSessionMaxAge string `json:\"session-max-age\"`\n    50→\n    51→\t// If both those options are not empty, use HTTPS using those certificates.\n    52→\tHTTPSCertFile string `json:\"https-cert-file\"`\n    53→\tHTTPSKeyFile  string `json:\"https-key-file\"`\n    54→\n    55→\t// If not the empty string and `addr` does not end in \":80\",\n    56→\t// redirect every request incoming at port 80 to that url.\n    57→\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n    58→\n    59→\t// Where to store MachineState files\n    60→\tMachineStateDir string `json:\"machine-state-dir\"`\n    61→\n    62→\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n    63→\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n    64→\n    65→\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n    66→\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n    67→\n    68→\t// Energy Mix CO2 Emission Constant [g/kWh]\n    69→\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n    70→\tEmissionConstant int `json:\"emission-constant\"`\n    71→\n    72→\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n    73→\tEnableResampling *ResampleConfig `json:\"resampling\"`\n    74→\n    75→\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n    76→\tSystemdUnit string `json:\"systemd-unit\"`\n    77→\n    78→\t// Node state retention configuration\n    79→\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n    80→\n    81→\t// Database tuning configuration\n    82→\tDbConfig *DbConfig `json:\"db-config\"`\n    83→}\n    84→\n    85→type DbConfig struct {\n    86→\tCacheSizeMB               int `json:\"cache-size-mb\"`\n    87→\tSoftHeapLimitMB           int `json:\"soft-heap-limit-mb\"`\n    88→\tMaxOpenConnections        int `json:\"max-open-connections\"`\n    89→\tMaxIdleConnections        int `json:\"max-idle-connections\"`\n    90→\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n    91→\tBusyTimeoutMs             int `json:\"busy-timeout-ms\"`\n    92→}\n    93→\n    94→type NodeStateRetention struct {\n    95→\tPolicy             string `json:\"policy\"`      // \"delete\" or \"move\"\n    96→\tAge                int    `json:\"age\"`         // hours, default 24\n    97→\tTargetKind         string `json:\"target-kind\"` // \"file\" or \"s3\"\n    98→\tTargetPath         string `json:\"target-path\"`\n    99→\tTargetEndpoint     string `json:\"target-endpoint\"`\n   100→\tTargetBucket       string `json:\"target-bucket\"`\n   101→\tTargetAccessKey    string `json:\"target-access-key\"`\n   102→\tTargetSecretKey    string `json:\"target-secret-key\"`\n   103→\tTargetRegion       string `json:\"target-region\"`\n   104→\tTargetUsePathStyle bool   `json:\"target-use-path-style\"`\n   105→\tMaxFileSizeMB      int    `json:\"max-file-size-mb\"`\n   106→}\n   107→\n   108→type ResampleConfig struct {\n   109→\t// Minimum number of points to trigger resampling of data\n   110→\tMinimumPoints int `json:\"minimum-points\"`\n   111→\t// Default resample policy when no user preference is set (\"low\", \"medium\", \"high\")\n   112→\tDefaultPolicy string `json:\"default-policy\"`\n   113→\t// Default resample algorithm when no user preference is set (\"lttb\", \"average\", \"simple\")\n   114→\tDefaultAlgo string `json:\"default-algo\"`\n   115→\t// Policy-derived target point count (set dynamically from user preference, not from config.json)\n   116→\tTargetPoints int `json:\"targetPoints,omitempty\"`\n   117→}\n   118→\n   119→type NATSConfig struct {\n   120→\tSubjectJobEvent  string `json:\"subject-job-event\"`\n   121→\tSubjectNodeState string `json:\"subject-node-state\"`\n   122→\tJobConcurrency   int    `json:\"job-concurrency\"`\n   123→\tNodeConcurrency  int    `json:\"node-concurrency\"`\n   124→}\n   125→\n   126→type IntRange struct {\n   127→\tFrom int `json:\"from\"`\n   128→\tTo   int `json:\"to\"`\n   129→}\n   130→\n   131→type TimeRange struct {\n   132→\tFrom  *time.Time `json:\"from\"`\n   133→\tTo    *time.Time `json:\"to\"`\n   134→\tRange string     `json:\"range,omitempty\"`\n   135→}\n   136→\n   137→type FilterRanges struct {\n   138→\tDuration  *IntRange  `json:\"duration\"`\n   139→\tNumNodes  *IntRange  `json:\"num-nodes\"`\n   140→\tStartTime *TimeRange `json:\"start-time\"`\n   141→}\n   142→\n   143→var Keys ProgramConfig = ProgramConfig{\n   144→\tAddr:                      \"localhost:8080\",\n   145→\tEmbedStaticFiles:          true,\n   146→\tDB:                        \"./var/job.db\",\n   147→\tSessionMaxAge:             \"168h\",\n   148→\tStopJobsExceedingWalltime: 0,\n   149→\tShortRunningJobsDuration:  5 * 60,\n   150→}\n   151→\n   152→func Init(mainConfig json.RawMessage) {\n   153→\tValidate(configSchema, mainConfig)\n   154→\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n   155→\tdec.DisallowUnknownFields()\n   156→\tif err := dec.Decode(&Keys); err != nil {\n   157→\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n   158→\t}\n   159→\n   160→\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n   161→\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n   162→\t}\n   163→}\n   164→"}]},"uuid":"a585fb5b-935b-4408-be3a-01f32d03bc56","timestamp":"2026-03-20T06:49:12.545Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package config implements the program configuration data structures, validation and parsing\npackage config\n\nimport (\n\t\"bytes\"\n\t\"encoding/json\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n)\n\ntype ProgramConfig struct {\n\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n\tAddr string `json:\"addr\"`\n\n\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n\n\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n\n\t// Drop root permissions once .env was read and the port was taken.\n\tUser  string `json:\"user\"`\n\tGroup string `json:\"group\"`\n\n\t// Disable authentication (for everything: API, Web-UI, ...)\n\tDisableAuthentication bool `json:\"disable-authentication\"`\n\n\t// If `embed-static-files` is true (default), the frontend files are directly\n\t// embeded into the go binary and expected to be in web/frontend. Only if\n\t// it is false the files in `static-files` are served instead.\n\tEmbedStaticFiles bool   `json:\"embed-static-files\"`\n\tStaticFiles      string `json:\"static-files\"`\n\n\t// Path to SQLite database file\n\tDB string `json:\"db\"`\n\n\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n\n\t// Validate json input against schema\n\tValidate bool `json:\"validate\"`\n\n\t// If 0 or empty, the session does not expire!\n\tSessionMaxAge string `json:\"session-max-age\"`\n\n\t// If both those options are not empty, use HTTPS using those certificates.\n\tHTTPSCertFile string `json:\"https-cert-file\"`\n\tHTTPSKeyFile  string `json:\"https-key-file\"`\n\n\t// If not the empty string and `addr` does not end in \":80\",\n\t// redirect every request incoming at port 80 to that url.\n\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n\n\t// Where to store MachineState files\n\tMachineStateDir string `json:\"machine-state-dir\"`\n\n\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n\n\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n\n\t// Energy Mix CO2 Emission Constant [g/kWh]\n\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n\tEmissionConstant int `json:\"emission-constant\"`\n\n\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n\tEnableResampling *ResampleConfig `json:\"resampling\"`\n\n\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n\tSystemdUnit string `json:\"systemd-unit\"`\n\n\t// Node state retention configuration\n\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n\n\t// Database tuning configuration\n\tDbConfig *DbConfig `json:\"db-config\"`\n}\n\ntype DbConfig struct {\n\tCacheSizeMB               int `json:\"cache-size-mb\"`\n\tSoftHeapLimitMB           int `json:\"soft-heap-limit-mb\"`\n\tMaxOpenConnections        int `json:\"max-open-connections\"`\n\tMaxIdleConnections        int `json:\"max-idle-connections\"`\n\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n\tBusyTimeoutMs             int `json:\"busy-timeout-ms\"`\n}\n\ntype NodeStateRetention struct {\n\tPolicy             string `json:\"policy\"`      // \"delete\" or \"move\"\n\tAge                int    `json:\"age\"`         // hours, default 24\n\tTargetKind         string `json:\"target-kind\"` // \"file\" or \"s3\"\n\tTargetPath         string `json:\"target-path\"`\n\tTargetEndpoint     string `json:\"target-endpoint\"`\n\tTargetBucket       string `json:\"target-bucket\"`\n\tTargetAccessKey    string `json:\"target-access-key\"`\n\tTargetSecretKey    string `json:\"target-secret-key\"`\n\tTargetRegion       string `json:\"target-region\"`\n\tTargetUsePathStyle bool   `json:\"target-use-path-style\"`\n\tMaxFileSizeMB      int    `json:\"max-file-size-mb\"`\n}\n\ntype ResampleConfig struct {\n\t// Minimum number of points to trigger resampling of data\n\tMinimumPoints int `json:\"minimum-points\"`\n\t// Default resample policy when no user preference is set (\"low\", \"medium\", \"high\")\n\tDefaultPolicy string `json:\"default-policy\"`\n\t// Default resample algorithm when no user preference is set (\"lttb\", \"average\", \"simple\")\n\tDefaultAlgo string `json:\"default-algo\"`\n\t// Policy-derived target point count (set dynamically from user preference, not from config.json)\n\tTargetPoints int `json:\"targetPoints,omitempty\"`\n}\n\ntype NATSConfig struct {\n\tSubjectJobEvent  string `json:\"subject-job-event\"`\n\tSubjectNodeState string `json:\"subject-node-state\"`\n\tJobConcurrency   int    `json:\"job-concurrency\"`\n\tNodeConcurrency  int    `json:\"node-concurrency\"`\n}\n\ntype IntRange struct {\n\tFrom int `json:\"from\"`\n\tTo   int `json:\"to\"`\n}\n\ntype TimeRange struct {\n\tFrom  *time.Time `json:\"from\"`\n\tTo    *time.Time `json:\"to\"`\n\tRange string     `json:\"range,omitempty\"`\n}\n\ntype FilterRanges struct {\n\tDuration  *IntRange  `json:\"duration\"`\n\tNumNodes  *IntRange  `json:\"num-nodes\"`\n\tStartTime *TimeRange `json:\"start-time\"`\n}\n\nvar Keys ProgramConfig = ProgramConfig{\n\tAddr:                      \"localhost:8080\",\n\tEmbedStaticFiles:          true,\n\tDB:                        \"./var/job.db\",\n\tSessionMaxAge:             \"168h\",\n\tStopJobsExceedingWalltime: 0,\n\tShortRunningJobsDuration:  5 * 60,\n}\n\nfunc Init(mainConfig json.RawMessage) {\n\tValidate(configSchema, mainConfig)\n\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&Keys); err != nil {\n\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n\t}\n\n\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n\t}\n}\n","numLines":164,"startLine":1,"totalLines":164}},"sourceToolAssistantUUID":"53988cf2-b20b-4d66-9bf2-21bce4991a02","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"a585fb5b-935b-4408-be3a-01f32d03bc56","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_013dJsdfyUmbHnVipwqSQY9q","type":"message","role":"assistant","content":[{"type":"text","text":"Let me check how `MinimumPoints` and `SetMinimumRequiredPoints` are used, and what the current `TargetPointsForPolicy` returns."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3965,"cache_read_input_tokens":53954,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3965},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDtMTDRkpxdFRT1R5sA7","type":"assistant","uuid":"f09bc996-a1ea-4c02-817c-54caf56368cd","timestamp":"2026-03-20T06:49:15.934Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"f09bc996-a1ea-4c02-817c-54caf56368cd","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_013dJsdfyUmbHnVipwqSQY9q","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01AcKsYYJ7G2dGKFTKx9bdkM","name":"Grep","input":{"pattern":"MinimumPoints|SetMinimumRequiredPoints|minimumRequiredPoints","output_mode":"content","-C":3},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3965,"cache_read_input_tokens":53954,"output_tokens":145,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":3965,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDtMTDRkpxdFRT1R5sA7","type":"assistant","uuid":"b98fae3f-42cc-4120-8f88-a60c32d9ff61","timestamp":"2026-03-20T06:49:16.513Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"b98fae3f-42cc-4120-8f88-a60c32d9ff61","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01AcKsYYJ7G2dGKFTKx9bdkM","toolUseID":"toolu_01AcKsYYJ7G2dGKFTKx9bdkM","timestamp":"2026-03-20T06:49:16.560Z","uuid":"54a6f7d6-192b-4a68-bba2-358913d78fbc","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"b98fae3f-42cc-4120-8f88-a60c32d9ff61","isSidechain":false,"promptId":"1822ac8b-6591-4977-8dec-79c4374fa5bd","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AcKsYYJ7G2dGKFTKx9bdkM","type":"tool_result","content":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-107-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-108-type ResampleConfig struct {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-109-\t// Minimum number of points to trigger resampling of data\ninternal/config/config.go:110:\tMinimumPoints int `json:\"minimum-points\"`\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-111-\t// Default resample policy when no user preference is set (\"low\", \"medium\", \"high\")\ninternal/config/config.go-112-\tDefaultPolicy string `json:\"default-policy\"`\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-113-\t// Default resample algorithm when no user preference is set (\"lttb\", \"average\", \"simple\")\n--\ninternal/config/config.go-157-\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-158-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-159-\ninternal/config/config.go:160:\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\ninternal/config/config.go:161:\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-162-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-163-}"}]},"uuid":"565083f2-a6d0-4d99-a51b-d6011b73086e","timestamp":"2026-03-20T06:49:16.560Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-107-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-108-type ResampleConfig struct {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-109-\t// Minimum number of points to trigger resampling of data\ninternal/config/config.go:110:\tMinimumPoints int `json:\"minimum-points\"`\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-111-\t// Default resample policy when no user preference is set (\"low\", \"medium\", \"high\")\ninternal/config/config.go-112-\tDefaultPolicy string `json:\"default-policy\"`\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-113-\t// Default resample algorithm when no user preference is set (\"lttb\", \"average\", \"simple\")\n--\ninternal/config/config.go-157-\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-158-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-159-\ninternal/config/config.go:160:\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\ninternal/config/config.go:161:\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-162-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-163-}","numLines":15},"sourceToolAssistantUUID":"b98fae3f-42cc-4120-8f88-a60c32d9ff61","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"565083f2-a6d0-4d99-a51b-d6011b73086e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_011hiSaMJpoQjGhkhzfmDLMm","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017RsTHG3VTwdTkrnN6nx8Fu","name":"Grep","input":{"pattern":"SetMinimumRequiredPoints|minimumRequiredPoints","path":"/Users/jan/prg/ClusterCockpit/cc-backend","output_mode":"files_with_matches"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":862,"cache_read_input_tokens":57919,"output_tokens":120,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":862,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDtMkEcYpQ7oX8PnfwTV","type":"assistant","uuid":"8768f7ec-eb07-44d0-8ecf-80e00fd00ec0","timestamp":"2026-03-20T06:49:20.353Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"8768f7ec-eb07-44d0-8ecf-80e00fd00ec0","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_017RsTHG3VTwdTkrnN6nx8Fu","toolUseID":"toolu_017RsTHG3VTwdTkrnN6nx8Fu","timestamp":"2026-03-20T06:49:20.385Z","uuid":"834a3fda-b803-4b25-af1c-641980bdce8d","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"8768f7ec-eb07-44d0-8ecf-80e00fd00ec0","isSidechain":false,"promptId":"1822ac8b-6591-4977-8dec-79c4374fa5bd","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017RsTHG3VTwdTkrnN6nx8Fu","type":"tool_result","content":"Found 1 file\ninternal/config/config.go"}]},"uuid":"6dec93f0-8443-4c1d-9772-efb5be677f30","timestamp":"2026-03-20T06:49:20.384Z","toolUseResult":{"mode":"files_with_matches","filenames":["internal/config/config.go"],"numFiles":1},"sourceToolAssistantUUID":"8768f7ec-eb07-44d0-8ecf-80e00fd00ec0","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"6dec93f0-8443-4c1d-9772-efb5be677f30","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01RmqncFb8ymLqvhUFRZ1Eed","type":"message","role":"assistant","content":[{"type":"text","text":"It's in the `resampler` library. Let me check the go module cache for it."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":145,"cache_read_input_tokens":58781,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":145},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDtN2q1KSSmB1sX6djoo","type":"assistant","uuid":"ca576083-cd71-47c4-b245-940feeb91c14","timestamp":"2026-03-20T06:49:23.757Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"ca576083-cd71-47c4-b245-940feeb91c14","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01RmqncFb8ymLqvhUFRZ1Eed","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WnetbhJTo7zvodHxdP6sMJ","name":"Bash","input":{"command":"grep -r \"SetMinimumRequiredPoints\\|minimumRequiredPoints\" $(go env GOMODCACHE)/github.com/ClusterCockpit/cc-lib/ 2>/dev/null | head -20","description":"Find SetMinimumRequiredPoints in cc-lib"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":145,"cache_read_input_tokens":58781,"output_tokens":153,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":145,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDtN2q1KSSmB1sX6djoo","type":"assistant","uuid":"eb4563c9-44c8-4906-b94e-3b23ba2cead5","timestamp":"2026-03-20T06:49:25.178Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"eb4563c9-44c8-4906-b94e-3b23ba2cead5","isSidechain":false,"promptId":"1822ac8b-6591-4977-8dec-79c4374fa5bd","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WnetbhJTo7zvodHxdP6sMJ","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"uuid":"e593679c-eb2b-4802-90ef-b96ac8929c7d","timestamp":"2026-03-20T06:51:59.951Z","toolUseResult":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"eb4563c9-44c8-4906-b94e-3b23ba2cead5","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"19a9e6fb-8773-4432-b88a-2bd371c3644b","isSidechain":false,"promptId":"1822ac8b-6591-4977-8dec-79c4374fa5bd","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PbxmZcxWkJYuruvBf75uMT","type":"tool_result","content":"package resampler // import \"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n\nfunc SetMinimumRequiredPoints(setVal int)\n---\npackage resampler // import \"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n\nPackage resampler provides time-series data downsampling algorithms.\n\nThis package implements two downsampling strategies for reducing the number of\ndata points in time-series data while preserving important characteristics:\n\n  - SimpleResampler: A fast, straightforward algorithm that selects every nth\n    point\n  - LargestTriangleThreeBucket (LTTB): A perceptually-aware algorithm that\n    preserves visual characteristics by selecting points that maximize the area\n    of triangles formed with neighboring points\n\nBoth algorithms are designed to work with schema.Float data and handle NaN\nvalues appropriately. They require that the new sampling frequency is a multiple\nof the old frequency.\n\nReferences:\n  - LTTB Algorithm: https://skemman.is/bitstream/1946/15343/3/SS_MSthesis.pdf\n  - Implementation adapted from: https://github.com/haoel/downsampling\n\nvar MinimumRequiredPoints int = 1000\nfunc AverageResampler(data []schema.Float, oldFrequency int64, newFrequency int64) ([]schema.Float, int64, error)\nfunc LargestTriangleThreeBucket(data []schema.Float, oldFrequency int64, newFrequency int64) ([]schema.Float, int64, error)\nfunc SetMinimumRequiredPoints(setVal int)\nfunc SimpleResampler(data []schema.Float, oldFrequency int64, newFrequency int64) ([]schema.Float, int64, error)\ntype ResamplerFunc func(data []schema.Float, oldFrequency int64, newFrequency int64) ([]schema.Float, int64, error)\n    func GetResampler(name string) (ResamplerFunc, error)","is_error":false}]},"uuid":"d01fc180-3a3f-477b-b65b-4f410de479b0","timestamp":"2026-03-20T06:54:53.593Z","toolUseResult":{"stdout":"package resampler // import \"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n\nfunc SetMinimumRequiredPoints(setVal int)\n---\npackage resampler // import \"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n\nPackage resampler provides time-series data downsampling algorithms.\n\nThis package implements two downsampling strategies for reducing the number of\ndata points in time-series data while preserving important characteristics:\n\n  - SimpleResampler: A fast, straightforward algorithm that selects every nth\n    point\n  - LargestTriangleThreeBucket (LTTB): A perceptually-aware algorithm that\n    preserves visual characteristics by selecting points that maximize the area\n    of triangles formed with neighboring points\n\nBoth algorithms are designed to work with schema.Float data and handle NaN\nvalues appropriately. They require that the new sampling frequency is a multiple\nof the old frequency.\n\nReferences:\n  - LTTB Algorithm: https://skemman.is/bitstream/1946/15343/3/SS_MSthesis.pdf\n  - Implementation adapted from: https://github.com/haoel/downsampling\n\nvar MinimumRequiredPoints int = 1000\nfunc AverageResampler(data []schema.Float, oldFrequency int64, newFrequency int64) ([]schema.Float, int64, error)\nfunc LargestTriangleThreeBucket(data []schema.Float, oldFrequency int64, newFrequency int64) ([]schema.Float, int64, error)\nfunc SetMinimumRequiredPoints(setVal int)\nfunc SimpleResampler(data []schema.Float, oldFrequency int64, newFrequency int64) ([]schema.Float, int64, error)\ntype ResamplerFunc func(data []schema.Float, oldFrequency int64, newFrequency int64) ([]schema.Float, int64, error)\n    func GetResampler(name string) (ResamplerFunc, error)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"19a9e6fb-8773-4432-b88a-2bd371c3644b","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"d01fc180-3a3f-477b-b65b-4f410de479b0","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01EAfkyw9gf7ejatRv56Cho3","type":"message","role":"assistant","content":[{"type":"text","text":"Now I understand. `MinimumRequiredPoints` defaults to 1000 in the library. The idea is to derive it from the policy's target points instead of requiring manual config. The mapping is straightforward: policy target points (low=200, medium=500, high=1000) can directly serve as `MinimumRequiredPoints`.\n\nThis is a simple, self-contained change. Let me update the plan."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":740,"cache_read_input_tokens":59242,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":740},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDtnb8NoghmUeoHa1XBW","type":"assistant","uuid":"ae13617f-8ae6-4335-80c0-8860999b9951","timestamp":"2026-03-20T06:55:00.107Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"ae13617f-8ae6-4335-80c0-8860999b9951","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01EAfkyw9gf7ejatRv56Cho3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017t1G7AfWS2rsoE99yxvnAs","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/.claude/plans/bubbly-shimmying-sedgewick.md","old_string":"# Replace file-based resampling config with policy-based approach\n\n## Context\n\nThe codebase has two resampling mechanisms:\n1. **Old (file-based)**: `config.json` defines explicit `resolutions` array and `trigger` count. The frontend uses these to pick from a fixed set of resolution steps on zoom.\n2. **New (policy-based)**: Users choose a policy (\"low\"/\"medium\"/\"high\") mapping to target point counts (200/500/1000). Resolution is computed dynamically from `duration / targetPoints`. This is already fully implemented in the GraphQL resolvers and frontend MetricPlot zoom logic.\n\nThe problem: `config.json` still uses the old `resolutions`+`trigger` schema, and falls back to it when no user policy is set. We should replace this with a default policy+algorithm in config, so the whole system is consistently policy-based.\n\n## Changes\n\n### 1. `internal/config/config.go` — Update `ResampleConfig` struct\n- Remove `Resolutions []int` and `Trigger int` fields\n- Add `DefaultPolicy string` (`json:\"default-policy\"`) — default resample policy (\"low\", \"medium\", \"high\")\n- Add `DefaultAlgo string` (`json:\"default-algo\"`) — default resample algorithm (\"lttb\", \"average\", \"simple\")\n- Keep `MinimumPoints int` — still useful for the resampler library\n- Keep `TargetPoints int` — used by policy-derived runtime config\n\n### 2. `internal/config/schema.go` — Update JSON schema\n- Replace `trigger`/`resolutions` required properties with `default-policy`\n- Add `default-policy` (string, enum: [\"low\",\"medium\",\"high\"]) and `default-algo` (string, enum: [\"lttb\",\"average\",\"simple\"]) properties\n- Remove `trigger` and `resolutions` properties\n- No required fields (presence of `\"resampling\": {}` is enough to enable it)\n\n### 3. `internal/routerConfig/routes.go` — Update `resamplingForUser()`\n- When falling back to globalCfg (no user policy set), use `globalCfg.DefaultPolicy` to compute `TargetPoints` and `Trigger` dynamically, same as the user-policy path\n- If `DefaultPolicy` is empty, use \"medium\" as default\n\n### 4. `internal/graph/schema.resolvers.go` — Update fallback resolution logic\n- In `JobMetrics()` and `NodeMetricsList()`: replace `slices.Max(config.Keys.EnableResampling.Resolutions)` fallback with policy-based computation using `config.Keys.EnableResampling.DefaultPolicy`\n- Use `TargetPointsForPolicy()` + `ComputeResolution()` instead of picking from a resolutions array\n- Also apply `DefaultAlgo` when no user algo preference is set\n\n### 5. `internal/graph/resample.go` — Update `resolveResampleAlgo()`\n- After checking user preference, fall back to `config.Keys.EnableResampling.DefaultAlgo` before returning \"\"\n\n### 6. `config.json` (local dev) — Update to new format\n```json\n\"resampling\": {\n  \"default-policy\": \"medium\",\n  \"default-algo\": \"lttb\"\n}\n```\n\n### 7. `configs/config.json` (example config) — Update to new format\nSame as above, keeping `minimum-points` if desired.\n\n### 8. Frontend: No changes needed\nThe frontend already handles both modes:\n- Policy-based: uses `targetPoints` to compute resolution dynamically\n- Array-based: uses `resolutions` array for fixed steps\n\nSince `resamplingForUser()` already returns a `ResampleConfig` with `TargetPoints`+`Trigger` (no `Resolutions`), the frontend will use the policy path.\n\n## Files to modify\n1. `internal/config/config.go` (struct + Init)\n2. `internal/config/schema.go` (JSON schema)\n3. `internal/routerConfig/routes.go` (`resamplingForUser`)\n4. `internal/graph/schema.resolvers.go` (resolver fallbacks)\n5. `internal/graph/resample.go` (`resolveResampleAlgo` fallback)\n6. `config.json` (local config)\n7. `configs/config.json` (example config)\n\n## Verification\n1. `go build ./...` — must compile\n2. `go test ./internal/metricdispatch/...` — resample policy tests pass\n3. `go test ./internal/config/...` — if config tests exist\n4. Start with `./cc-backend -server -dev` and verify `/config` page shows resampling options\n5. Verify metric plots on job pages still support zoom/resampling","new_string":"# Derive MinimumPoints automatically from policy\n\n## Context\n\nThe previous commit replaced `resolutions`/`trigger` with `default-policy`/`default-algo` in `ResampleConfig`. The `MinimumPoints` field still exists as a manual config value (`\"minimum-points\"` in JSON), but it's redundant — since we now always have a policy (user pref or default), the target points from that policy are the natural minimum threshold for resampling.\n\nThe resampler library (`cc-lib/v2/resampler`) has a global `MinimumRequiredPoints` (default 1000) set via `SetMinimumRequiredPoints()`. Currently this is set in `config.Init()` only when `minimum-points > 0` in config.json.\n\n**Goal**: Remove `MinimumPoints` from config and derive it automatically from the default policy's target points (low=200, medium=500, high=1000).\n\n## Changes\n\n### 1. `internal/config/config.go`\n- Remove `MinimumPoints int` field from `ResampleConfig`\n- In `Init()`: replace the `MinimumPoints > 0` check with policy-derived logic:\n  - Use `metricdispatch.TargetPointsForPolicy()` on `DefaultPolicy` (or \"medium\" if empty) to get the target points\n  - Call `resampler.SetMinimumRequiredPoints(targetPoints)`\n- This requires importing `metricdispatch` — need to check for import cycles\n\n**Import cycle concern**: `config` is imported by almost everything. `metricdispatch` imports `config`. So `config` cannot import `metricdispatch`.\n\n**Solution**: Inline the policy→targetPoints mapping in `config.Init()` instead of calling `metricdispatch.TargetPointsForPolicy()`. A simple switch on `DefaultPolicy`:\n```go\nfunc targetPointsForPolicy(policy string) int {\n    switch policy {\n    case \"low\":    return 200\n    case \"medium\": return 500\n    case \"high\":   return 1000\n    default:       return 500 // medium fallback\n    }\n}\n```\n\nThen in `Init()`:\n```go\nif Keys.EnableResampling != nil {\n    policy := Keys.EnableResampling.DefaultPolicy\n    if policy == \"\" {\n        policy = \"medium\"\n    }\n    resampler.SetMinimumRequiredPoints(targetPointsForPolicy(policy))\n}\n```\n\n### 2. `internal/config/schema.go`\n- Remove `minimum-points` property from the `resampling` JSON schema object\n\n### 3. `config.json` / `configs/config.json`\n- Remove `\"minimum-points\"` key from the resampling block (it was already removed from `config.json` in the previous commit; check `configs/config.json` still has it)\n\n## Files to modify\n1. `internal/config/config.go` — remove field, add helper, update `Init()`\n2. `internal/config/schema.go` — remove `minimum-points` property\n3. `configs/config.json` — remove `minimum-points` from resampling block\n\n## Verification\n1. `go build ./...` — must compile\n2. `go test ./internal/config/...` — config tests pass\n3. `go test ./internal/metricdispatch/...` — resample policy tests still pass"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":740,"cache_read_input_tokens":59242,"output_tokens":2155,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":740,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDtnb8NoghmUeoHa1XBW","type":"assistant","uuid":"9ae23f86-8a8d-4e67-859b-550829c0d424","timestamp":"2026-03-20T06:55:37.936Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"9ae23f86-8a8d-4e67-859b-550829c0d424","isSidechain":false,"promptId":"1822ac8b-6591-4977-8dec-79c4374fa5bd","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017t1G7AfWS2rsoE99yxvnAs","type":"tool_result","content":"The file /Users/jan/.claude/plans/bubbly-shimmying-sedgewick.md has been updated successfully."}]},"uuid":"5b128961-d87d-458a-8e30-c5bf368c74dc","timestamp":"2026-03-20T06:55:37.946Z","toolUseResult":{"filePath":"/Users/jan/.claude/plans/bubbly-shimmying-sedgewick.md","oldString":"# Replace file-based resampling config with policy-based approach\n\n## Context\n\nThe codebase has two resampling mechanisms:\n1. **Old (file-based)**: `config.json` defines explicit `resolutions` array and `trigger` count. The frontend uses these to pick from a fixed set of resolution steps on zoom.\n2. **New (policy-based)**: Users choose a policy (\"low\"/\"medium\"/\"high\") mapping to target point counts (200/500/1000). Resolution is computed dynamically from `duration / targetPoints`. This is already fully implemented in the GraphQL resolvers and frontend MetricPlot zoom logic.\n\nThe problem: `config.json` still uses the old `resolutions`+`trigger` schema, and falls back to it when no user policy is set. We should replace this with a default policy+algorithm in config, so the whole system is consistently policy-based.\n\n## Changes\n\n### 1. `internal/config/config.go` — Update `ResampleConfig` struct\n- Remove `Resolutions []int` and `Trigger int` fields\n- Add `DefaultPolicy string` (`json:\"default-policy\"`) — default resample policy (\"low\", \"medium\", \"high\")\n- Add `DefaultAlgo string` (`json:\"default-algo\"`) — default resample algorithm (\"lttb\", \"average\", \"simple\")\n- Keep `MinimumPoints int` — still useful for the resampler library\n- Keep `TargetPoints int` — used by policy-derived runtime config\n\n### 2. `internal/config/schema.go` — Update JSON schema\n- Replace `trigger`/`resolutions` required properties with `default-policy`\n- Add `default-policy` (string, enum: [\"low\",\"medium\",\"high\"]) and `default-algo` (string, enum: [\"lttb\",\"average\",\"simple\"]) properties\n- Remove `trigger` and `resolutions` properties\n- No required fields (presence of `\"resampling\": {}` is enough to enable it)\n\n### 3. `internal/routerConfig/routes.go` — Update `resamplingForUser()`\n- When falling back to globalCfg (no user policy set), use `globalCfg.DefaultPolicy` to compute `TargetPoints` and `Trigger` dynamically, same as the user-policy path\n- If `DefaultPolicy` is empty, use \"medium\" as default\n\n### 4. `internal/graph/schema.resolvers.go` — Update fallback resolution logic\n- In `JobMetrics()` and `NodeMetricsList()`: replace `slices.Max(config.Keys.EnableResampling.Resolutions)` fallback with policy-based computation using `config.Keys.EnableResampling.DefaultPolicy`\n- Use `TargetPointsForPolicy()` + `ComputeResolution()` instead of picking from a resolutions array\n- Also apply `DefaultAlgo` when no user algo preference is set\n\n### 5. `internal/graph/resample.go` — Update `resolveResampleAlgo()`\n- After checking user preference, fall back to `config.Keys.EnableResampling.DefaultAlgo` before returning \"\"\n\n### 6. `config.json` (local dev) — Update to new format\n```json\n\"resampling\": {\n  \"default-policy\": \"medium\",\n  \"default-algo\": \"lttb\"\n}\n```\n\n### 7. `configs/config.json` (example config) — Update to new format\nSame as above, keeping `minimum-points` if desired.\n\n### 8. Frontend: No changes needed\nThe frontend already handles both modes:\n- Policy-based: uses `targetPoints` to compute resolution dynamically\n- Array-based: uses `resolutions` array for fixed steps\n\nSince `resamplingForUser()` already returns a `ResampleConfig` with `TargetPoints`+`Trigger` (no `Resolutions`), the frontend will use the policy path.\n\n## Files to modify\n1. `internal/config/config.go` (struct + Init)\n2. `internal/config/schema.go` (JSON schema)\n3. `internal/routerConfig/routes.go` (`resamplingForUser`)\n4. `internal/graph/schema.resolvers.go` (resolver fallbacks)\n5. `internal/graph/resample.go` (`resolveResampleAlgo` fallback)\n6. `config.json` (local config)\n7. `configs/config.json` (example config)\n\n## Verification\n1. `go build ./...` — must compile\n2. `go test ./internal/metricdispatch/...` — resample policy tests pass\n3. `go test ./internal/config/...` — if config tests exist\n4. Start with `./cc-backend -server -dev` and verify `/config` page shows resampling options\n5. Verify metric plots on job pages still support zoom/resampling","newString":"# Derive MinimumPoints automatically from policy\n\n## Context\n\nThe previous commit replaced `resolutions`/`trigger` with `default-policy`/`default-algo` in `ResampleConfig`. The `MinimumPoints` field still exists as a manual config value (`\"minimum-points\"` in JSON), but it's redundant — since we now always have a policy (user pref or default), the target points from that policy are the natural minimum threshold for resampling.\n\nThe resampler library (`cc-lib/v2/resampler`) has a global `MinimumRequiredPoints` (default 1000) set via `SetMinimumRequiredPoints()`. Currently this is set in `config.Init()` only when `minimum-points > 0` in config.json.\n\n**Goal**: Remove `MinimumPoints` from config and derive it automatically from the default policy's target points (low=200, medium=500, high=1000).\n\n## Changes\n\n### 1. `internal/config/config.go`\n- Remove `MinimumPoints int` field from `ResampleConfig`\n- In `Init()`: replace the `MinimumPoints > 0` check with policy-derived logic:\n  - Use `metricdispatch.TargetPointsForPolicy()` on `DefaultPolicy` (or \"medium\" if empty) to get the target points\n  - Call `resampler.SetMinimumRequiredPoints(targetPoints)`\n- This requires importing `metricdispatch` — need to check for import cycles\n\n**Import cycle concern**: `config` is imported by almost everything. `metricdispatch` imports `config`. So `config` cannot import `metricdispatch`.\n\n**Solution**: Inline the policy→targetPoints mapping in `config.Init()` instead of calling `metricdispatch.TargetPointsForPolicy()`. A simple switch on `DefaultPolicy`:\n```go\nfunc targetPointsForPolicy(policy string) int {\n    switch policy {\n    case \"low\":    return 200\n    case \"medium\": return 500\n    case \"high\":   return 1000\n    default:       return 500 // medium fallback\n    }\n}\n```\n\nThen in `Init()`:\n```go\nif Keys.EnableResampling != nil {\n    policy := Keys.EnableResampling.DefaultPolicy\n    if policy == \"\" {\n        policy = \"medium\"\n    }\n    resampler.SetMinimumRequiredPoints(targetPointsForPolicy(policy))\n}\n```\n\n### 2. `internal/config/schema.go`\n- Remove `minimum-points` property from the `resampling` JSON schema object\n\n### 3. `config.json` / `configs/config.json`\n- Remove `\"minimum-points\"` key from the resampling block (it was already removed from `config.json` in the previous commit; check `configs/config.json` still has it)\n\n## Files to modify\n1. `internal/config/config.go` — remove field, add helper, update `Init()`\n2. `internal/config/schema.go` — remove `minimum-points` property\n3. `configs/config.json` — remove `minimum-points` from resampling block\n\n## Verification\n1. `go build ./...` — must compile\n2. `go test ./internal/config/...` — config tests pass\n3. `go test ./internal/metricdispatch/...` — resample policy tests still pass","originalFile":"# Replace file-based resampling config with policy-based approach\n\n## Context\n\nThe codebase has two resampling mechanisms:\n1. **Old (file-based)**: `config.json` defines explicit `resolutions` array and `trigger` count. The frontend uses these to pick from a fixed set of resolution steps on zoom.\n2. **New (policy-based)**: Users choose a policy (\"low\"/\"medium\"/\"high\") mapping to target point counts (200/500/1000). Resolution is computed dynamically from `duration / targetPoints`. This is already fully implemented in the GraphQL resolvers and frontend MetricPlot zoom logic.\n\nThe problem: `config.json` still uses the old `resolutions`+`trigger` schema, and falls back to it when no user policy is set. We should replace this with a default policy+algorithm in config, so the whole system is consistently policy-based.\n\n## Changes\n\n### 1. `internal/config/config.go` — Update `ResampleConfig` struct\n- Remove `Resolutions []int` and `Trigger int` fields\n- Add `DefaultPolicy string` (`json:\"default-policy\"`) — default resample policy (\"low\", \"medium\", \"high\")\n- Add `DefaultAlgo string` (`json:\"default-algo\"`) — default resample algorithm (\"lttb\", \"average\", \"simple\")\n- Keep `MinimumPoints int` — still useful for the resampler library\n- Keep `TargetPoints int` — used by policy-derived runtime config\n\n### 2. `internal/config/schema.go` — Update JSON schema\n- Replace `trigger`/`resolutions` required properties with `default-policy`\n- Add `default-policy` (string, enum: [\"low\",\"medium\",\"high\"]) and `default-algo` (string, enum: [\"lttb\",\"average\",\"simple\"]) properties\n- Remove `trigger` and `resolutions` properties\n- No required fields (presence of `\"resampling\": {}` is enough to enable it)\n\n### 3. `internal/routerConfig/routes.go` — Update `resamplingForUser()`\n- When falling back to globalCfg (no user policy set), use `globalCfg.DefaultPolicy` to compute `TargetPoints` and `Trigger` dynamically, same as the user-policy path\n- If `DefaultPolicy` is empty, use \"medium\" as default\n\n### 4. `internal/graph/schema.resolvers.go` — Update fallback resolution logic\n- In `JobMetrics()` and `NodeMetricsList()`: replace `slices.Max(config.Keys.EnableResampling.Resolutions)` fallback with policy-based computation using `config.Keys.EnableResampling.DefaultPolicy`\n- Use `TargetPointsForPolicy()` + `ComputeResolution()` instead of picking from a resolutions array\n- Also apply `DefaultAlgo` when no user algo preference is set\n\n### 5. `internal/graph/resample.go` — Update `resolveResampleAlgo()`\n- After checking user preference, fall back to `config.Keys.EnableResampling.DefaultAlgo` before returning \"\"\n\n### 6. `config.json` (local dev) — Update to new format\n```json\n\"resampling\": {\n  \"default-policy\": \"medium\",\n  \"default-algo\": \"lttb\"\n}\n```\n\n### 7. `configs/config.json` (example config) — Update to new format\nSame as above, keeping `minimum-points` if desired.\n\n### 8. Frontend: No changes needed\nThe frontend already handles both modes:\n- Policy-based: uses `targetPoints` to compute resolution dynamically\n- Array-based: uses `resolutions` array for fixed steps\n\nSince `resamplingForUser()` already returns a `ResampleConfig` with `TargetPoints`+`Trigger` (no `Resolutions`), the frontend will use the policy path.\n\n## Files to modify\n1. `internal/config/config.go` (struct + Init)\n2. `internal/config/schema.go` (JSON schema)\n3. `internal/routerConfig/routes.go` (`resamplingForUser`)\n4. `internal/graph/schema.resolvers.go` (resolver fallbacks)\n5. `internal/graph/resample.go` (`resolveResampleAlgo` fallback)\n6. `config.json` (local config)\n7. `configs/config.json` (example config)\n\n## Verification\n1. `go build ./...` — must compile\n2. `go test ./internal/metricdispatch/...` — resample policy tests pass\n3. `go test ./internal/config/...` — if config tests exist\n4. Start with `./cc-backend -server -dev` and verify `/config` page shows resampling options\n5. Verify metric plots on job pages still support zoom/resampling\n","structuredPatch":[{"oldStart":1,"oldLines":70,"newStart":1,"newLines":59,"lines":["-# Replace file-based resampling config with policy-based approach","+# Derive MinimumPoints automatically from policy"," "," ## Context"," ","-The codebase has two resampling mechanisms:","-1. **Old (file-based)**: `config.json` defines explicit `resolutions` array and `trigger` count. The frontend uses these to pick from a fixed set of resolution steps on zoom.","-2. **New (policy-based)**: Users choose a policy (\"low\"/\"medium\"/\"high\") mapping to target point counts (200/500/1000). Resolution is computed dynamically from `duration / targetPoints`. This is already fully implemented in the GraphQL resolvers and frontend MetricPlot zoom logic.","+The previous commit replaced `resolutions`/`trigger` with `default-policy`/`default-algo` in `ResampleConfig`. The `MinimumPoints` field still exists as a manual config value (`\"minimum-points\"` in JSON), but it's redundant — since we now always have a policy (user pref or default), the target points from that policy are the natural minimum threshold for resampling."," ","-The problem: `config.json` still uses the old `resolutions`+`trigger` schema, and falls back to it when no user policy is set. We should replace this with a default policy+algorithm in config, so the whole system is consistently policy-based.","+The resampler library (`cc-lib/v2/resampler`) has a global `MinimumRequiredPoints` (default 1000) set via `SetMinimumRequiredPoints()`. Currently this is set in `config.Init()` only when `minimum-points > 0` in config.json."," ","+**Goal**: Remove `MinimumPoints` from config and derive it automatically from the default policy's target points (low=200, medium=500, high=1000).","+"," ## Changes"," ","-### 1. `internal/config/config.go` — Update `ResampleConfig` struct","-- Remove `Resolutions []int` and `Trigger int` fields","-- Add `DefaultPolicy string` (`json:\"default-policy\"`) — default resample policy (\"low\", \"medium\", \"high\")","-- Add `DefaultAlgo string` (`json:\"default-algo\"`) — default resample algorithm (\"lttb\", \"average\", \"simple\")","-- Keep `MinimumPoints int` — still useful for the resampler library","-- Keep `TargetPoints int` — used by policy-derived runtime config","+### 1. `internal/config/config.go`","+- Remove `MinimumPoints int` field from `ResampleConfig`","+- In `Init()`: replace the `MinimumPoints > 0` check with policy-derived logic:","+  - Use `metricdispatch.TargetPointsForPolicy()` on `DefaultPolicy` (or \"medium\" if empty) to get the target points","+  - Call `resampler.SetMinimumRequiredPoints(targetPoints)`","+- This requires importing `metricdispatch` — need to check for import cycles"," ","-### 2. `internal/config/schema.go` — Update JSON schema","-- Replace `trigger`/`resolutions` required properties with `default-policy`","-- Add `default-policy` (string, enum: [\"low\",\"medium\",\"high\"]) and `default-algo` (string, enum: [\"lttb\",\"average\",\"simple\"]) properties","-- Remove `trigger` and `resolutions` properties","-- No required fields (presence of `\"resampling\": {}` is enough to enable it)","+**Import cycle concern**: `config` is imported by almost everything. `metricdispatch` imports `config`. So `config` cannot import `metricdispatch`."," ","-### 3. `internal/routerConfig/routes.go` — Update `resamplingForUser()`","-- When falling back to globalCfg (no user policy set), use `globalCfg.DefaultPolicy` to compute `TargetPoints` and `Trigger` dynamically, same as the user-policy path","-- If `DefaultPolicy` is empty, use \"medium\" as default","+**Solution**: Inline the policy→targetPoints mapping in `config.Init()` instead of calling `metricdispatch.TargetPointsForPolicy()`. A simple switch on `DefaultPolicy`:","+```go","+func targetPointsForPolicy(policy string) int {","+    switch policy {","+    case \"low\":    return 200","+    case \"medium\": return 500","+    case \"high\":   return 1000","+    default:       return 500 // medium fallback","+    }","+}","+```"," ","-### 4. `internal/graph/schema.resolvers.go` — Update fallback resolution logic","-- In `JobMetrics()` and `NodeMetricsList()`: replace `slices.Max(config.Keys.EnableResampling.Resolutions)` fallback with policy-based computation using `config.Keys.EnableResampling.DefaultPolicy`","-- Use `TargetPointsForPolicy()` + `ComputeResolution()` instead of picking from a resolutions array","-- Also apply `DefaultAlgo` when no user algo preference is set","-","-### 5. `internal/graph/resample.go` — Update `resolveResampleAlgo()`","-- After checking user preference, fall back to `config.Keys.EnableResampling.DefaultAlgo` before returning \"\"","-","-### 6. `config.json` (local dev) — Update to new format","-```json","-\"resampling\": {","-  \"default-policy\": \"medium\",","-  \"default-algo\": \"lttb\"","+Then in `Init()`:","+```go","+if Keys.EnableResampling != nil {","+    policy := Keys.EnableResampling.DefaultPolicy","+    if policy == \"\" {","+        policy = \"medium\"","+    }","+    resampler.SetMinimumRequiredPoints(targetPointsForPolicy(policy))"," }"," ```"," ","-### 7. `configs/config.json` (example config) — Update to new format","-Same as above, keeping `minimum-points` if desired.","+### 2. `internal/config/schema.go`","+- Remove `minimum-points` property from the `resampling` JSON schema object"," ","-### 8. Frontend: No changes needed","-The frontend already handles both modes:","-- Policy-based: uses `targetPoints` to compute resolution dynamically","-- Array-based: uses `resolutions` array for fixed steps","+### 3. `config.json` / `configs/config.json`","+- Remove `\"minimum-points\"` key from the resampling block (it was already removed from `config.json` in the previous commit; check `configs/config.json` still has it)"," ","-Since `resamplingForUser()` already returns a `ResampleConfig` with `TargetPoints`+`Trigger` (no `Resolutions`), the frontend will use the policy path.","-"," ## Files to modify","-1. `internal/config/config.go` (struct + Init)","-2. `internal/config/schema.go` (JSON schema)","-3. `internal/routerConfig/routes.go` (`resamplingForUser`)","-4. `internal/graph/schema.resolvers.go` (resolver fallbacks)","-5. `internal/graph/resample.go` (`resolveResampleAlgo` fallback)","-6. `config.json` (local config)","-7. `configs/config.json` (example config)","+1. `internal/config/config.go` — remove field, add helper, update `Init()`","+2. `internal/config/schema.go` — remove `minimum-points` property","+3. `configs/config.json` — remove `minimum-points` from resampling block"," "," ## Verification"," 1. `go build ./...` — must compile","-2. `go test ./internal/metricdispatch/...` — resample policy tests pass","-3. `go test ./internal/config/...` — if config tests exist","-4. Start with `./cc-backend -server -dev` and verify `/config` page shows resampling options","-5. Verify metric plots on job pages still support zoom/resampling","+2. `go test ./internal/config/...` — config tests pass","+3. `go test ./internal/metricdispatch/...` — resample policy tests still pass"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"9ae23f86-8a8d-4e67-859b-550829c0d424","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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diff --git a/75/36f551d548/1/prompt.txt b/75/36f551d548/1/prompt.txt
new file mode 100644
index 00000000..ef99e470
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+{"parentUuid":"dd7622d3-c0ea-40c9-8a5c-b8c12408fd30","isSidechain":false,"promptId":"9e3c6c14-f4f2-4b87-b346-2138cb640033","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Hyeqbe7YBcWWFyoyjXHpgZ","type":"tool_result","content":"     1→<!--\n     2→  @component User settings wrapper\n     3→\n     4→  Properties:\n     5→  - `username String!`: Empty string if auth. is disabled, otherwise the username as string\n     6→  - `isApi Bool!`: Is currently logged in user api authority\n     7→-->\n     8→\n     9→<script>\n    10→  import { getContext } from \"svelte\";\n    11→  import UserOptions from \"./user/UserOptions.svelte\";\n    12→  import PlotRenderOptions from \"./user/PlotRenderOptions.svelte\";\n    13→  import PlotColorScheme from \"./user/PlotColorScheme.svelte\";\n    14→\n    15→  /* Svelte 5 Props */\n    16→  let {\n    17→    username,\n    18→    isApi\n    19→  } = $props();\n    20→\n    21→  /* Const Init */\n    22→  const ccconfig = getContext(\"cc-config\");\n    23→  \n    24→  /* State Init */\n    25→  let message = $state({ msg: \"\", target: \"\", color: \"#d63384\" });\n    26→  let displayMessage = $state(false);\n    27→  let cbmode = $state(ccconfig?.plotConfiguration_colorblindMode || false);\n    28→\n    29→  /* Functions */\n    30→  async function handleSettingSubmit(event, setting) {\n    31→    event.preventDefault();\n    32→\n    33→    const selector = setting.selector\n    34→    const target = setting.target\n    35→    let form = document.querySelector(selector);\n    36→    let formData = new FormData(form);\n    37→    try {\n    38→      const res = await fetch(form.action, { method: \"POST\", body: formData });\n    39→      if (res.ok) {\n    40→        let text = await res.text();\n    41→        if (formData.get(\"key\") === \"plotConfiguration_colorblindMode\") {\n    42→          cbmode = JSON.parse(formData.get(\"value\"));\n    43→        }\n    44→        popMessage(text, target, \"#048109\");\n    45→      } else {\n    46→        let text = await res.text();\n    47→        throw new Error(\"Response Code \" + res.status + \"-> \" + text);\n    48→      }\n    49→    } catch (err) {\n    50→      popMessage(err, target, \"#d63384\");\n    51→    }\n    52→\n    53→    return false;\n    54→  }\n    55→\n    56→  function popMessage(response, restarget, rescolor) {\n    57→    message = { msg: response, target: restarget, color: rescolor };\n    58→    displayMessage = true;\n    59→    setTimeout(function () {\n    60→      displayMessage = false;\n    61→    }, 3500);\n    62→  }\n    63→</script>\n    64→\n    65→<UserOptions config={ccconfig} {username} {isApi} bind:message bind:displayMessage updateSetting={(e, newSetting) => handleSettingSubmit(e, newSetting)}/>\n    66→<PlotRenderOptions config={ccconfig} bind:message bind:displayMessage updateSetting={(e, newSetting) => handleSettingSubmit(e, newSetting)}/>\n    67→<PlotColorScheme config={ccconfig} bind:cbmode bind:message bind:displayMessage updateSetting={(e, newSetting) => handleSettingSubmit(e, newSetting)}/>\n    68→"}]},"uuid":"a3ce603f-051d-40f6-8035-61c6839f2205","timestamp":"2026-03-20T05:23:47.675Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/config/UserSettings.svelte","content":"<!--\n  @component User settings wrapper\n\n  Properties:\n  - `username String!`: Empty string if auth. is disabled, otherwise the username as string\n  - `isApi Bool!`: Is currently logged in user api authority\n-->\n\n<script>\n  import { getContext } from \"svelte\";\n  import UserOptions from \"./user/UserOptions.svelte\";\n  import PlotRenderOptions from \"./user/PlotRenderOptions.svelte\";\n  import PlotColorScheme from \"./user/PlotColorScheme.svelte\";\n\n  /* Svelte 5 Props */\n  let {\n    username,\n    isApi\n  } = $props();\n\n  /* Const Init */\n  const ccconfig = getContext(\"cc-config\");\n  \n  /* State Init */\n  let message = $state({ msg: \"\", target: \"\", color: \"#d63384\" });\n  let displayMessage = $state(false);\n  let cbmode = $state(ccconfig?.plotConfiguration_colorblindMode || false);\n\n  /* Functions */\n  async function handleSettingSubmit(event, setting) {\n    event.preventDefault();\n\n    const selector = setting.selector\n    const target = setting.target\n    let form = document.querySelector(selector);\n    let formData = new FormData(form);\n    try {\n      const res = await fetch(form.action, { method: \"POST\", body: formData });\n      if (res.ok) {\n        let text = await res.text();\n        if (formData.get(\"key\") === \"plotConfiguration_colorblindMode\") {\n          cbmode = JSON.parse(formData.get(\"value\"));\n        }\n        popMessage(text, target, \"#048109\");\n      } else {\n        let text = await res.text();\n        throw new Error(\"Response Code \" + res.status + \"-> \" + text);\n      }\n    } catch (err) {\n      popMessage(err, target, \"#d63384\");\n    }\n\n    return false;\n  }\n\n  function popMessage(response, restarget, rescolor) {\n    message = { msg: response, target: restarget, color: rescolor };\n    displayMessage = true;\n    setTimeout(function () {\n      displayMessage = false;\n    }, 3500);\n  }\n</script>\n\n<UserOptions config={ccconfig} {username} {isApi} bind:message bind:displayMessage updateSetting={(e, newSetting) => handleSettingSubmit(e, newSetting)}/>\n<PlotRenderOptions config={ccconfig} bind:message bind:displayMessage updateSetting={(e, newSetting) => handleSettingSubmit(e, newSetting)}/>\n<PlotColorScheme config={ccconfig} bind:cbmode bind:message bind:displayMessage updateSetting={(e, newSetting) => handleSettingSubmit(e, newSetting)}/>\n","numLines":68,"startLine":1,"totalLines":68}},"sourceToolAssistantUUID":"dd7622d3-c0ea-40c9-8a5c-b8c12408fd30","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"d0eee7d6-8d79-4ec5-bc0a-f0fad4b64fab","isSidechain":false,"promptId":"9e3c6c14-f4f2-4b87-b346-2138cb640033","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GVMg828YF6xcyyajw3dbeu","type":"tool_result","content":"     1→<!--\n     2→  @component Admin settings wrapper\n     3→\n     4→  Properties:\n     5→  - `ncontent String`: The homepage notice content\n     6→  - `clusterNames [String]`: The available clusternames\n     7→-->\n     8→\n     9→<script>\n    10→  import { Row, Col } from \"@sveltestrap/sveltestrap\";\n    11→  import { onMount, getContext } from \"svelte\";\n    12→  import EditRole from \"./admin/EditRole.svelte\";\n    13→  import EditProject from \"./admin/EditProject.svelte\";\n    14→  import AddUser from \"./admin/AddUser.svelte\";\n    15→  import ShowUsers from \"./admin/ShowUsers.svelte\";\n    16→  import Options from \"./admin/Options.svelte\";\n    17→  import NoticeEdit from \"./admin/NoticeEdit.svelte\";\n    18→  import RunTaggers from \"./admin/RunTaggers.svelte\";\n    19→\n    20→  /* Svelte 5 Props */\n    21→  let {\n    22→    ncontent,\n    23→    clusterNames\n    24→  } = $props();\n    25→\n    26→  /* Const Init*/\n    27→  const ccconfig = getContext(\"cc-config\");\n    28→\n    29→  /* State Init */\n    30→  let users = $state([]);\n    31→  let roles = $state([]);\n    32→\n    33→  /* Functions */\n    34→  function getUserList() {\n    35→    fetch(\"/config/users/?via-ldap=false&not-just-user=true\")\n    36→      .then((res) => res.json())\n    37→      .then((usersRaw) => {\n    38→        users = usersRaw;\n    39→      });\n    40→  }\n    41→\n    42→  function getValidRoles() {\n    43→    fetch(\"/config/roles/\")\n    44→      .then((res) => res.json())\n    45→      .then((rolesRaw) => {\n    46→        roles = rolesRaw;\n    47→      });\n    48→  }\n    49→\n    50→  function initAdmin() {\n    51→    getUserList();\n    52→    getValidRoles();\n    53→  }\n    54→\n    55→  /* on Mount */\n    56→  onMount(() => initAdmin());\n    57→</script>\n    58→\n    59→<Row cols={2} class=\"p-2 g-2\">\n    60→  <Col class=\"mb-1\">\n    61→    <AddUser {roles} reloadUser={() => getUserList()} />\n    62→  </Col>\n    63→  <Col class=\"mb-1\">\n    64→    <ShowUsers reloadUser={() => getUserList()} bind:users />\n    65→  </Col>\n    66→  <Col>\n    67→    <EditRole {roles} reloadUser={() => getUserList()} />\n    68→  </Col>\n    69→  <Col>\n    70→    <EditProject reloadUser={() => getUserList()} />\n    71→  </Col>\n    72→  <Options config={ccconfig} {clusterNames}/>\n    73→  <NoticeEdit {ncontent}/>\n    74→  <RunTaggers />\n    75→</Row>\n    76→"}]},"uuid":"066a3bcd-dff6-415b-ba65-b4db6c1668ed","timestamp":"2026-03-20T05:23:50.226Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/config/AdminSettings.svelte","content":"<!--\n  @component Admin settings wrapper\n\n  Properties:\n  - `ncontent String`: The homepage notice content\n  - `clusterNames [String]`: The available clusternames\n-->\n\n<script>\n  import { Row, Col } from \"@sveltestrap/sveltestrap\";\n  import { onMount, getContext } from \"svelte\";\n  import EditRole from \"./admin/EditRole.svelte\";\n  import EditProject from \"./admin/EditProject.svelte\";\n  import AddUser from \"./admin/AddUser.svelte\";\n  import ShowUsers from \"./admin/ShowUsers.svelte\";\n  import Options from \"./admin/Options.svelte\";\n  import NoticeEdit from \"./admin/NoticeEdit.svelte\";\n  import RunTaggers from \"./admin/RunTaggers.svelte\";\n\n  /* Svelte 5 Props */\n  let {\n    ncontent,\n    clusterNames\n  } = $props();\n\n  /* Const Init*/\n  const ccconfig = getContext(\"cc-config\");\n\n  /* State Init */\n  let users = $state([]);\n  let roles = $state([]);\n\n  /* Functions */\n  function getUserList() {\n    fetch(\"/config/users/?via-ldap=false&not-just-user=true\")\n      .then((res) => res.json())\n      .then((usersRaw) => {\n        users = usersRaw;\n      });\n  }\n\n  function getValidRoles() {\n    fetch(\"/config/roles/\")\n      .then((res) => res.json())\n      .then((rolesRaw) => {\n        roles = rolesRaw;\n      });\n  }\n\n  function initAdmin() {\n    getUserList();\n    getValidRoles();\n  }\n\n  /* on Mount */\n  onMount(() => initAdmin());\n</script>\n\n<Row cols={2} class=\"p-2 g-2\">\n  <Col class=\"mb-1\">\n    <AddUser {roles} reloadUser={() => getUserList()} />\n  </Col>\n  <Col class=\"mb-1\">\n    <ShowUsers reloadUser={() => getUserList()} bind:users />\n  </Col>\n  <Col>\n    <EditRole {roles} reloadUser={() => getUserList()} />\n  </Col>\n  <Col>\n    <EditProject reloadUser={() => getUserList()} />\n  </Col>\n  <Options config={ccconfig} {clusterNames}/>\n  <NoticeEdit {ncontent}/>\n  <RunTaggers />\n</Row>\n","numLines":76,"startLine":1,"totalLines":76}},"sourceToolAssistantUUID":"d0eee7d6-8d79-4ec5-bc0a-f0fad4b64fab","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"066a3bcd-dff6-415b-ba65-b4db6c1668ed","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01GcQkQsX1V4eoCd4siwHzTg","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me check the PlotRenderOptions component to understand its props."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":943,"cache_read_input_tokens":20705,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":943},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDmqrsSPrY7P5mzZm9tV","type":"assistant","uuid":"60a4a643-7584-467c-8b86-b05aa03950c0","timestamp":"2026-03-20T05:23:52.869Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"60a4a643-7584-467c-8b86-b05aa03950c0","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01GcQkQsX1V4eoCd4siwHzTg","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Qk81eFoSBMZz3zaqDPQMPJ","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/config/user/PlotRenderOptions.svelte"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":943,"cache_read_input_tokens":20705,"output_tokens":105,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":943,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDmqrsSPrY7P5mzZm9tV","type":"assistant","uuid":"588be2ee-63c3-43c3-bdad-477cc93d7daf","timestamp":"2026-03-20T05:23:53.092Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"588be2ee-63c3-43c3-bdad-477cc93d7daf","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01Qk81eFoSBMZz3zaqDPQMPJ","toolUseID":"toolu_01Qk81eFoSBMZz3zaqDPQMPJ","timestamp":"2026-03-20T05:23:53.098Z","uuid":"b9c746a3-b266-402d-a09f-1d3d0c98edd9","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"588be2ee-63c3-43c3-bdad-477cc93d7daf","isSidechain":false,"promptId":"9e3c6c14-f4f2-4b87-b346-2138cb640033","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Qk81eFoSBMZz3zaqDPQMPJ","type":"tool_result","content":"     1→<!--\n     2→  @component Plot render option selection for users\n     3→\n     4→  Properties:\n     5→  - `config Object`: Current cc-config\n     6→  - `message Object`: Message to display on success or error [Bindable]\n     7→  - `displayMessage Bool`: If to display message content [Bindable]\n     8→  - `updateSetting Func`: The callback function to apply current option selection\n     9→-->\n    10→\n    11→<script>\n    12→  import {\n    13→    Button,\n    14→    Row,\n    15→    Col,\n    16→    Card,\n    17→    CardTitle,\n    18→  } from \"@sveltestrap/sveltestrap\";\n    19→  import { getContext } from \"svelte\";\n    20→  import { fade } from \"svelte/transition\";\n    21→\n    22→  /* Svelte 5 Props */\n    23→  let {\n    24→    config,\n    25→    message = $bindable(),\n    26→    displayMessage = $bindable(),\n    27→    updateSetting\n    28→  } = $props();\n    29→\n    30→  const resampleConfig = getContext(\"resampling\");\n    31→  const resamplingEnabled = !!resampleConfig;\n    32→</script>\n    33→\n    34→<Row cols={3} class=\"p-2 g-2\">\n    35→  <!-- LINE WIDTH -->\n    36→  <Col>\n    37→    <Card class=\"h-100\">\n    38→      <form\n    39→        id=\"line-width-form\"\n    40→        method=\"post\"\n    41→        action=\"/frontend/configuration/\"\n    42→        class=\"card-body\"\n    43→        onsubmit={(e) => updateSetting(e, {\n    44→          selector: \"#line-width-form\",\n    45→          target: \"lw\",\n    46→        })}\n    47→      >\n    48→        <!-- Svelte 'class' directive only on DOMs directly, normal 'class=\"xxx\"' does not work, so style-array it is. -->\n    49→        <CardTitle\n    50→          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n    51→        >\n    52→          <div>Line Width</div>\n    53→          <!-- Expand If-Clause for clarity once -->\n    54→          {#if displayMessage && message.target == \"lw\"}\n    55→            <div style=\"margin-left: auto; font-size: 0.9em;\">\n    56→              <code style=\"color: {message.color};\" out:fade>\n    57→                Update: {message.msg}\n    58→              </code>\n    59→            </div>\n    60→          {/if}\n    61→        </CardTitle>\n    62→        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_lineWidth\" />\n    63→        <div class=\"mb-3\">\n    64→          <label for=\"value\" class=\"form-label\">Line Width</label>\n    65→          <input\n    66→            type=\"number\"\n    67→            class=\"form-control\"\n    68→            id=\"lwvalue\"\n    69→            name=\"value\"\n    70→            aria-describedby=\"lineWidthHelp\"\n    71→            value={config.plotConfiguration_lineWidth}\n    72→            min=\"1\"\n    73→          />\n    74→          <div id=\"lineWidthHelp\" class=\"form-text\">\n    75→            Width of the lines in the timeseries plots.\n    76→          </div>\n    77→        </div>\n    78→        <Button color=\"primary\" type=\"submit\">Submit</Button>\n    79→      </form>\n    80→    </Card>\n    81→  </Col>\n    82→\n    83→  <!-- PLOTS PER ROW -->\n    84→  <Col>\n    85→    <Card class=\"h-100\">\n    86→      <form\n    87→        id=\"plots-per-row-form\"\n    88→        method=\"post\"\n    89→        action=\"/frontend/configuration/\"\n    90→        class=\"card-body\"\n    91→        onsubmit={(e) => updateSetting(e, {\n    92→          selector: \"#plots-per-row-form\",\n    93→          target: \"ppr\",\n    94→        })}\n    95→      >\n    96→        <!-- Svelte 'class' directive only on DOMs directly, normal 'class=\"xxx\"' does not work, so style-array it is. -->\n    97→        <CardTitle\n    98→          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n    99→        >\n   100→          <div>Plots per Row</div>\n   101→          {#if displayMessage && message.target == \"ppr\"}\n   102→            <div style=\"margin-left: auto; font-size: 0.9em;\">\n   103→              <code style=\"color: {message.color};\" out:fade>\n   104→                Update: {message.msg}\n   105→              </code>\n   106→            </div>\n   107→          {/if}\n   108→        </CardTitle>\n   109→        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_plotsPerRow\" />\n   110→        <div class=\"mb-3\">\n   111→          <label for=\"value\" class=\"form-label\">Plots per Row</label>\n   112→          <input\n   113→            type=\"number\"\n   114→            class=\"form-control\"\n   115→            id=\"pprvalue\"\n   116→            name=\"value\"\n   117→            aria-describedby=\"plotsperrowHelp\"\n   118→            value={config.plotConfiguration_plotsPerRow}\n   119→            min=\"1\"\n   120→          />\n   121→          <div id=\"plotsperrowHelp\" class=\"form-text\">\n   122→            How many plots to show next to each other on pages such as\n   123→            /monitoring/job/, /monitoring/system/...\n   124→          </div>\n   125→        </div>\n   126→        <Button color=\"primary\" type=\"submit\">Submit</Button>\n   127→      </form>\n   128→    </Card>\n   129→  </Col>\n   130→\n   131→  <!-- BACKGROUND -->\n   132→  <Col class=\"d-flex justify-content-between\">\n   133→    <Card class=\"h-100\" style=\"width: 49%;\">\n   134→      <form\n   135→        id=\"backgrounds-form\"\n   136→        method=\"post\"\n   137→        action=\"/frontend/configuration/\"\n   138→        class=\"card-body\"\n   139→        onsubmit={(e) => updateSetting(e, {\n   140→          selector: \"#backgrounds-form\",\n   141→          target: \"bg\",\n   142→        })}\n   143→      >\n   144→        <!-- Svelte 'class' directive only on DOMs directly, normal 'class=\"xxx\"' does not work, so style-array it is. -->\n   145→        <CardTitle\n   146→          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n   147→        >\n   148→          <div>Colored Backgrounds</div>\n   149→          {#if displayMessage && message.target == \"bg\"}\n   150→            <div style=\"margin-left: auto; font-size: 0.9em;\">\n   151→              <code style=\"color: {message.color};\" out:fade>\n   152→                Update: {message.msg}\n   153→              </code>\n   154→            </div>\n   155→          {/if}\n   156→        </CardTitle>\n   157→        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_colorBackground\" />\n   158→        <div class=\"mb-3\">\n   159→          <div>\n   160→            {#if config.plotConfiguration_colorBackground}\n   161→              <input type=\"radio\" id=\"colb-true-checked\" name=\"value\" value=\"true\" checked />\n   162→            {:else}\n   163→              <input type=\"radio\" id=\"colb-true\" name=\"value\" value=\"true\" />\n   164→            {/if}\n   165→            <label for=\"true\">Yes</label>\n   166→          </div>\n   167→          <div>\n   168→            {#if config.plotConfiguration_colorBackground}\n   169→              <input type=\"radio\" id=\"colb-false\" name=\"value\" value=\"false\" />\n   170→            {:else}\n   171→              <input type=\"radio\" id=\"colb-false-checked\" name=\"value\" value=\"false\" checked />\n   172→            {/if}\n   173→            <label for=\"false\">No</label>\n   174→          </div>\n   175→        </div>\n   176→        <Button color=\"primary\" type=\"submit\">Submit</Button>\n   177→      </form>\n   178→    </Card>\n   179→    <Card class=\"h-100\" style=\"width: 49%;\">\n   180→      <form\n   181→        id=\"colorblindmode-form\"\n   182→        method=\"post\"\n   183→        action=\"/frontend/configuration/\"\n   184→        class=\"card-body\"\n   185→        onsubmit={(e) => updateSetting(e, {\n   186→          selector: \"#colorblindmode-form\",\n   187→          target: \"cbm\",\n   188→        })}\n   189→      >\n   190→        <!-- Svelte 'class' directive only on DOMs directly, normal 'class=\"xxx\"' does not work, so style-array it is. -->\n   191→        <CardTitle\n   192→          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n   193→        >\n   194→          <div>Color Blind Mode</div>\n   195→          {#if displayMessage && message.target == \"cbm\"}\n   196→            <div style=\"margin-left: auto; font-size: 0.9em;\">\n   197→              <code style=\"color: {message.color};\" out:fade>\n   198→                Update: {message.msg}\n   199→              </code>\n   200→            </div>\n   201→          {/if}\n   202→        </CardTitle>\n   203→        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_colorblindMode\" />\n   204→        <div class=\"mb-3\">\n   205→          <div>\n   206→            {#if config?.plotConfiguration_colorblindMode}\n   207→              <input type=\"radio\" id=\"cbm-true-checked\" name=\"value\" value=\"true\" checked />\n   208→            {:else}\n   209→              <input type=\"radio\" id=\"cbm-true\" name=\"value\" value=\"true\" />\n   210→            {/if}\n   211→            <label for=\"true\">Yes</label>\n   212→          </div>\n   213→          <div>\n   214→            {#if config?.plotConfiguration_colorblindMode}\n   215→              <input type=\"radio\" id=\"cbm-false\" name=\"value\" value=\"false\" />\n   216→            {:else}\n   217→              <input type=\"radio\" id=\"cbm-false-checked\" name=\"value\" value=\"false\" checked />\n   218→            {/if}\n   219→            <label for=\"false\">No</label>\n   220→          </div>\n   221→        </div>\n   222→        <Button color=\"primary\" type=\"submit\">Submit</Button>\n   223→      </form>\n   224→    </Card>\n   225→  </Col>\n   226→\n   227→  {#if resamplingEnabled}\n   228→  <!-- RESAMPLE POLICY -->\n   229→  <Col>\n   230→    <Card class=\"h-100\">\n   231→      <form\n   232→        id=\"resample-policy-form\"\n   233→        method=\"post\"\n   234→        action=\"/frontend/configuration/\"\n   235→        class=\"card-body\"\n   236→        onsubmit={(e) => updateSetting(e, {\n   237→          selector: \"#resample-policy-form\",\n   238→          target: \"rsp\",\n   239→        })}\n   240→      >\n   241→        <CardTitle\n   242→          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n   243→        >\n   244→          <div>Resample Policy</div>\n   245→          {#if displayMessage && message.target == \"rsp\"}\n   246→            <div style=\"margin-left: auto; font-size: 0.9em;\">\n   247→              <code style=\"color: {message.color};\" out:fade>\n   248→                Update: {message.msg}\n   249→              </code>\n   250→            </div>\n   251→          {/if}\n   252→        </CardTitle>\n   253→        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_resamplePolicy\" />\n   254→        <div class=\"mb-3\">\n   255→          {#each [[\"\", \"Default\"], [\"low\", \"Low\"], [\"medium\", \"Medium\"], [\"high\", \"High\"]] as [val, label]}\n   256→            <div>\n   257→              <input type=\"radio\" id=\"rsp-{val || 'default'}\" name=\"value\" value={JSON.stringify(val)}\n   258→                checked={(!config.plotConfiguration_resamplePolicy && val === \"\") || config.plotConfiguration_resamplePolicy === val} />\n   259→              <label for=\"rsp-{val || 'default'}\">{label}</label>\n   260→            </div>\n   261→          {/each}\n   262→          <div id=\"resamplePolicyHelp\" class=\"form-text\">\n   263→            Controls how many data points are shown in metric plots. Low = fast overview (~200 points), Medium = balanced (~500), High = maximum detail (~1000).\n   264→          </div>\n   265→        </div>\n   266→        <Button color=\"primary\" type=\"submit\">Submit</Button>\n   267→      </form>\n   268→    </Card>\n   269→  </Col>\n   270→\n   271→  <!-- RESAMPLE ALGORITHM -->\n   272→  <Col>\n   273→    <Card class=\"h-100\">\n   274→      <form\n   275→        id=\"resample-algo-form\"\n   276→        method=\"post\"\n   277→        action=\"/frontend/configuration/\"\n   278→        class=\"card-body\"\n   279→        onsubmit={(e) => updateSetting(e, {\n   280→          selector: \"#resample-algo-form\",\n   281→          target: \"rsa\",\n   282→        })}\n   283→      >\n   284→        <CardTitle\n   285→          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n   286→        >\n   287→          <div>Resample Algorithm</div>\n   288→          {#if displayMessage && message.target == \"rsa\"}\n   289→            <div style=\"margin-left: auto; font-size: 0.9em;\">\n   290→              <code style=\"color: {message.color};\" out:fade>\n   291→                Update: {message.msg}\n   292→              </code>\n   293→            </div>\n   294→          {/if}\n   295→        </CardTitle>\n   296→        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_resampleAlgo\" />\n   297→        <div class=\"mb-3\">\n   298→          {#each [[\"\", \"Default\"], [\"lttb\", \"LTTB\"], [\"average\", \"Average\"], [\"simple\", \"Simple\"]] as [val, label]}\n   299→            <div>\n   300→              <input type=\"radio\" id=\"rsa-{val || 'default'}\" name=\"value\" value={JSON.stringify(val)}\n   301→                checked={(!config.plotConfiguration_resampleAlgo && val === \"\") || config.plotConfiguration_resampleAlgo === val} />\n   302→              <label for=\"rsa-{val || 'default'}\">{label}</label>\n   303→            </div>\n   304→          {/each}\n   305→          <div id=\"resampleAlgoHelp\" class=\"form-text\">\n   306→            Algorithm used when downsampling time-series data. LTTB preserves visual shape, Average smooths data, Simple picks every Nth point.\n   307→          </div>\n   308→        </div>\n   309→        <Button color=\"primary\" type=\"submit\">Submit</Button>\n   310→      </form>\n   311→    </Card>\n   312→  </Col>\n   313→  {/if}\n   314→</Row>"}]},"uuid":"8096a6d4-974b-488a-89bb-6e3ea8317a21","timestamp":"2026-03-20T05:23:53.098Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/config/user/PlotRenderOptions.svelte","content":"<!--\n  @component Plot render option selection for users\n\n  Properties:\n  - `config Object`: Current cc-config\n  - `message Object`: Message to display on success or error [Bindable]\n  - `displayMessage Bool`: If to display message content [Bindable]\n  - `updateSetting Func`: The callback function to apply current option selection\n-->\n\n<script>\n  import {\n    Button,\n    Row,\n    Col,\n    Card,\n    CardTitle,\n  } from \"@sveltestrap/sveltestrap\";\n  import { getContext } from \"svelte\";\n  import { fade } from \"svelte/transition\";\n\n  /* Svelte 5 Props */\n  let {\n    config,\n    message = $bindable(),\n    displayMessage = $bindable(),\n    updateSetting\n  } = $props();\n\n  const resampleConfig = getContext(\"resampling\");\n  const resamplingEnabled = !!resampleConfig;\n</script>\n\n<Row cols={3} class=\"p-2 g-2\">\n  <!-- LINE WIDTH -->\n  <Col>\n    <Card class=\"h-100\">\n      <form\n        id=\"line-width-form\"\n        method=\"post\"\n        action=\"/frontend/configuration/\"\n        class=\"card-body\"\n        onsubmit={(e) => updateSetting(e, {\n          selector: \"#line-width-form\",\n          target: \"lw\",\n        })}\n      >\n        <!-- Svelte 'class' directive only on DOMs directly, normal 'class=\"xxx\"' does not work, so style-array it is. -->\n        <CardTitle\n          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n        >\n          <div>Line Width</div>\n          <!-- Expand If-Clause for clarity once -->\n          {#if displayMessage && message.target == \"lw\"}\n            <div style=\"margin-left: auto; font-size: 0.9em;\">\n              <code style=\"color: {message.color};\" out:fade>\n                Update: {message.msg}\n              </code>\n            </div>\n          {/if}\n        </CardTitle>\n        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_lineWidth\" />\n        <div class=\"mb-3\">\n          <label for=\"value\" class=\"form-label\">Line Width</label>\n          <input\n            type=\"number\"\n            class=\"form-control\"\n            id=\"lwvalue\"\n            name=\"value\"\n            aria-describedby=\"lineWidthHelp\"\n            value={config.plotConfiguration_lineWidth}\n            min=\"1\"\n          />\n          <div id=\"lineWidthHelp\" class=\"form-text\">\n            Width of the lines in the timeseries plots.\n          </div>\n        </div>\n        <Button color=\"primary\" type=\"submit\">Submit</Button>\n      </form>\n    </Card>\n  </Col>\n\n  <!-- PLOTS PER ROW -->\n  <Col>\n    <Card class=\"h-100\">\n      <form\n        id=\"plots-per-row-form\"\n        method=\"post\"\n        action=\"/frontend/configuration/\"\n        class=\"card-body\"\n        onsubmit={(e) => updateSetting(e, {\n          selector: \"#plots-per-row-form\",\n          target: \"ppr\",\n        })}\n      >\n        <!-- Svelte 'class' directive only on DOMs directly, normal 'class=\"xxx\"' does not work, so style-array it is. -->\n        <CardTitle\n          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n        >\n          <div>Plots per Row</div>\n          {#if displayMessage && message.target == \"ppr\"}\n            <div style=\"margin-left: auto; font-size: 0.9em;\">\n              <code style=\"color: {message.color};\" out:fade>\n                Update: {message.msg}\n              </code>\n            </div>\n          {/if}\n        </CardTitle>\n        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_plotsPerRow\" />\n        <div class=\"mb-3\">\n          <label for=\"value\" class=\"form-label\">Plots per Row</label>\n          <input\n            type=\"number\"\n            class=\"form-control\"\n            id=\"pprvalue\"\n            name=\"value\"\n            aria-describedby=\"plotsperrowHelp\"\n            value={config.plotConfiguration_plotsPerRow}\n            min=\"1\"\n          />\n          <div id=\"plotsperrowHelp\" class=\"form-text\">\n            How many plots to show next to each other on pages such as\n            /monitoring/job/, /monitoring/system/...\n          </div>\n        </div>\n        <Button color=\"primary\" type=\"submit\">Submit</Button>\n      </form>\n    </Card>\n  </Col>\n\n  <!-- BACKGROUND -->\n  <Col class=\"d-flex justify-content-between\">\n    <Card class=\"h-100\" style=\"width: 49%;\">\n      <form\n        id=\"backgrounds-form\"\n        method=\"post\"\n        action=\"/frontend/configuration/\"\n        class=\"card-body\"\n        onsubmit={(e) => updateSetting(e, {\n          selector: \"#backgrounds-form\",\n          target: \"bg\",\n        })}\n      >\n        <!-- Svelte 'class' directive only on DOMs directly, normal 'class=\"xxx\"' does not work, so style-array it is. -->\n        <CardTitle\n          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n        >\n          <div>Colored Backgrounds</div>\n          {#if displayMessage && message.target == \"bg\"}\n            <div style=\"margin-left: auto; font-size: 0.9em;\">\n              <code style=\"color: {message.color};\" out:fade>\n                Update: {message.msg}\n              </code>\n            </div>\n          {/if}\n        </CardTitle>\n        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_colorBackground\" />\n        <div class=\"mb-3\">\n          <div>\n            {#if config.plotConfiguration_colorBackground}\n              <input type=\"radio\" id=\"colb-true-checked\" name=\"value\" value=\"true\" checked />\n            {:else}\n              <input type=\"radio\" id=\"colb-true\" name=\"value\" value=\"true\" />\n            {/if}\n            <label for=\"true\">Yes</label>\n          </div>\n          <div>\n            {#if config.plotConfiguration_colorBackground}\n              <input type=\"radio\" id=\"colb-false\" name=\"value\" value=\"false\" />\n            {:else}\n              <input type=\"radio\" id=\"colb-false-checked\" name=\"value\" value=\"false\" checked />\n            {/if}\n            <label for=\"false\">No</label>\n          </div>\n        </div>\n        <Button color=\"primary\" type=\"submit\">Submit</Button>\n      </form>\n    </Card>\n    <Card class=\"h-100\" style=\"width: 49%;\">\n      <form\n        id=\"colorblindmode-form\"\n        method=\"post\"\n        action=\"/frontend/configuration/\"\n        class=\"card-body\"\n        onsubmit={(e) => updateSetting(e, {\n          selector: \"#colorblindmode-form\",\n          target: \"cbm\",\n        })}\n      >\n        <!-- Svelte 'class' directive only on DOMs directly, normal 'class=\"xxx\"' does not work, so style-array it is. -->\n        <CardTitle\n          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n        >\n          <div>Color Blind Mode</div>\n          {#if displayMessage && message.target == \"cbm\"}\n            <div style=\"margin-left: auto; font-size: 0.9em;\">\n              <code style=\"color: {message.color};\" out:fade>\n                Update: {message.msg}\n              </code>\n            </div>\n          {/if}\n        </CardTitle>\n        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_colorblindMode\" />\n        <div class=\"mb-3\">\n          <div>\n            {#if config?.plotConfiguration_colorblindMode}\n              <input type=\"radio\" id=\"cbm-true-checked\" name=\"value\" value=\"true\" checked />\n            {:else}\n              <input type=\"radio\" id=\"cbm-true\" name=\"value\" value=\"true\" />\n            {/if}\n            <label for=\"true\">Yes</label>\n          </div>\n          <div>\n            {#if config?.plotConfiguration_colorblindMode}\n              <input type=\"radio\" id=\"cbm-false\" name=\"value\" value=\"false\" />\n            {:else}\n              <input type=\"radio\" id=\"cbm-false-checked\" name=\"value\" value=\"false\" checked />\n            {/if}\n            <label for=\"false\">No</label>\n          </div>\n        </div>\n        <Button color=\"primary\" type=\"submit\">Submit</Button>\n      </form>\n    </Card>\n  </Col>\n\n  {#if resamplingEnabled}\n  <!-- RESAMPLE POLICY -->\n  <Col>\n    <Card class=\"h-100\">\n      <form\n        id=\"resample-policy-form\"\n        method=\"post\"\n        action=\"/frontend/configuration/\"\n        class=\"card-body\"\n        onsubmit={(e) => updateSetting(e, {\n          selector: \"#resample-policy-form\",\n          target: \"rsp\",\n        })}\n      >\n        <CardTitle\n          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n        >\n          <div>Resample Policy</div>\n          {#if displayMessage && message.target == \"rsp\"}\n            <div style=\"margin-left: auto; font-size: 0.9em;\">\n              <code style=\"color: {message.color};\" out:fade>\n                Update: {message.msg}\n              </code>\n            </div>\n          {/if}\n        </CardTitle>\n        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_resamplePolicy\" />\n        <div class=\"mb-3\">\n          {#each [[\"\", \"Default\"], [\"low\", \"Low\"], [\"medium\", \"Medium\"], [\"high\", \"High\"]] as [val, label]}\n            <div>\n              <input type=\"radio\" id=\"rsp-{val || 'default'}\" name=\"value\" value={JSON.stringify(val)}\n                checked={(!config.plotConfiguration_resamplePolicy && val === \"\") || config.plotConfiguration_resamplePolicy === val} />\n              <label for=\"rsp-{val || 'default'}\">{label}</label>\n            </div>\n          {/each}\n          <div id=\"resamplePolicyHelp\" class=\"form-text\">\n            Controls how many data points are shown in metric plots. Low = fast overview (~200 points), Medium = balanced (~500), High = maximum detail (~1000).\n          </div>\n        </div>\n        <Button color=\"primary\" type=\"submit\">Submit</Button>\n      </form>\n    </Card>\n  </Col>\n\n  <!-- RESAMPLE ALGORITHM -->\n  <Col>\n    <Card class=\"h-100\">\n      <form\n        id=\"resample-algo-form\"\n        method=\"post\"\n        action=\"/frontend/configuration/\"\n        class=\"card-body\"\n        onsubmit={(e) => updateSetting(e, {\n          selector: \"#resample-algo-form\",\n          target: \"rsa\",\n        })}\n      >\n        <CardTitle\n          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n        >\n          <div>Resample Algorithm</div>\n          {#if displayMessage && message.target == \"rsa\"}\n            <div style=\"margin-left: auto; font-size: 0.9em;\">\n              <code style=\"color: {message.color};\" out:fade>\n                Update: {message.msg}\n              </code>\n            </div>\n          {/if}\n        </CardTitle>\n        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_resampleAlgo\" />\n        <div class=\"mb-3\">\n          {#each [[\"\", \"Default\"], [\"lttb\", \"LTTB\"], [\"average\", \"Average\"], [\"simple\", \"Simple\"]] as [val, label]}\n            <div>\n              <input type=\"radio\" id=\"rsa-{val || 'default'}\" name=\"value\" value={JSON.stringify(val)}\n                checked={(!config.plotConfiguration_resampleAlgo && val === \"\") || config.plotConfiguration_resampleAlgo === val} />\n              <label for=\"rsa-{val || 'default'}\">{label}</label>\n            </div>\n          {/each}\n          <div id=\"resampleAlgoHelp\" class=\"form-text\">\n            Algorithm used when downsampling time-series data. LTTB preserves visual shape, Average smooths data, Simple picks every Nth point.\n          </div>\n        </div>\n        <Button color=\"primary\" type=\"submit\">Submit</Button>\n      </form>\n    </Card>\n  </Col>\n  {/if}\n</Row>","numLines":314,"startLine":1,"totalLines":314}},"sourceToolAssistantUUID":"588be2ee-63c3-43c3-bdad-477cc93d7daf","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"43b6fe07-2503-48ee-81b7-1c1f60ad8f9f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Tt2VCrXbTcKWCogbdQNi9s","type":"message","role":"assistant","content":[{"type":"text","text":"Now I need to understand how admin settings handle form submissions. Let me check the Options component."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4357,"cache_read_input_tokens":21648,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4357},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDmr5FKXuRqgZMRa4nTX","type":"assistant","uuid":"df6c20de-cb75-45b3-8426-159d6beb5800","timestamp":"2026-03-20T05:23:56.942Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"7a5f0483-112b-438f-a439-ca3c66b2e32f","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_015nucuBeTHqHdNCNtyqnzja","toolUseID":"toolu_015nucuBeTHqHdNCNtyqnzja","timestamp":"2026-03-20T05:23:58.121Z","uuid":"54536f73-29f2-4ea4-a87e-a261fcba0958","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"7a5f0483-112b-438f-a439-ca3c66b2e32f","isSidechain":false,"promptId":"9e3c6c14-f4f2-4b87-b346-2138cb640033","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015nucuBeTHqHdNCNtyqnzja","type":"tool_result","content":"     1→<!--\n     2→  @component Admin option select card\n     3→\n     4→    Properties:\n     5→  - `clusterNames [String]`: The available clusternames\n     6→-->\n     7→\n     8→<script>\n     9→  import { getContext, onMount } from \"svelte\";\n    10→  import { Row, Col, Card, CardBody, CardTitle, Button, Icon } from \"@sveltestrap/sveltestrap\";\n    11→\n    12→  /* Svelte 5 Props */\n    13→  let {\n    14→    clusterNames,\n    15→  } = $props();\n    16→\n    17→  /*Const Init */\n    18→  const resampleConfig = getContext(\"resampling\");\n    19→  \n    20→  /* State Init */\n    21→  let scrambled = $state(false);\n    22→  \n    23→  /* on Mount */\n    24→  onMount(() => {\n    25→    scrambled = window.localStorage.getItem(\"cc-scramble-names\") != null;\n    26→  });\n    27→\n    28→  function handleScramble() {\n    29→    if (!scrambled) {\n    30→      scrambled = true;\n    31→      window.localStorage.setItem(\"cc-scramble-names\", \"true\");\n    32→    } else {\n    33→      scrambled = false;\n    34→      window.localStorage.removeItem(\"cc-scramble-names\");\n    35→    }\n    36→  }\n    37→</script>\n    38→\n    39→<Col>\n    40→  <Card class=\"h-100\">\n    41→    <CardBody>\n    42→      <CardTitle class=\"mb-3\">Scramble Names / Presentation Mode</CardTitle>\n    43→      <input\n    44→        type=\"checkbox\"\n    45→        id=\"scramble-names-checkbox\"\n    46→        style=\"margin-right: 1em;\"\n    47→        onclick={() => handleScramble()}\n    48→        bind:checked={scrambled}\n    49→      />\n    50→      Active?\n    51→    </CardBody>\n    52→  </Card>\n    53→</Col>\n    54→\n    55→{#if clusterNames?.length > 0}\n    56→  <Col> \n    57→    <Card class=\"h-100\">\n    58→      <CardBody>\n    59→        <CardTitle class=\"mb-3\">Public Dashboard Links</CardTitle>\n    60→        <Row>\n    61→        {#each clusterNames as cn}\n    62→          <Col>\n    63→            <Button color=\"info\" class=\"mb-2 mb-xl-0\" href={`/monitoring/dashboard/${cn}`} target=\"_blank\">\n    64→              <Icon name=\"clipboard-pulse\" class=\"mr-2\"/>\n    65→              {cn.charAt(0).toUpperCase() + cn.slice(1)} Public Dashboard\n    66→            </Button>\n    67→          </Col>\n    68→        {/each}\n    69→        </Row>\n    70→      </CardBody>\n    71→    </Card>\n    72→  </Col>\n    73→{/if}\n    74→\n    75→{#if resampleConfig}\n    76→  <Col> \n    77→    <Card class=\"h-100\">\n    78→      <CardBody>\n    79→        <CardTitle class=\"mb-3\">Metric Plot Resampling Info</CardTitle>\n    80→        <p>Triggered at {resampleConfig.trigger} datapoints.</p>\n    81→        <p>Configured resolutions: {resampleConfig.resolutions}</p>\n    82→      </CardBody>\n    83→    </Card>\n    84→  </Col>\n    85→{/if}\n    86→"}]},"uuid":"4f91c042-b9d1-428a-a741-dbb99375fb78","timestamp":"2026-03-20T05:23:58.121Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/config/admin/Options.svelte","content":"<!--\n  @component Admin option select card\n\n    Properties:\n  - `clusterNames [String]`: The available clusternames\n-->\n\n<script>\n  import { getContext, onMount } from \"svelte\";\n  import { Row, Col, Card, CardBody, CardTitle, Button, Icon } from \"@sveltestrap/sveltestrap\";\n\n  /* Svelte 5 Props */\n  let {\n    clusterNames,\n  } = $props();\n\n  /*Const Init */\n  const resampleConfig = getContext(\"resampling\");\n  \n  /* State Init */\n  let scrambled = $state(false);\n  \n  /* on Mount */\n  onMount(() => {\n    scrambled = window.localStorage.getItem(\"cc-scramble-names\") != null;\n  });\n\n  function handleScramble() {\n    if (!scrambled) {\n      scrambled = true;\n      window.localStorage.setItem(\"cc-scramble-names\", \"true\");\n    } else {\n      scrambled = false;\n      window.localStorage.removeItem(\"cc-scramble-names\");\n    }\n  }\n</script>\n\n<Col>\n  <Card class=\"h-100\">\n    <CardBody>\n      <CardTitle class=\"mb-3\">Scramble Names / Presentation Mode</CardTitle>\n      <input\n        type=\"checkbox\"\n        id=\"scramble-names-checkbox\"\n        style=\"margin-right: 1em;\"\n        onclick={() => handleScramble()}\n        bind:checked={scrambled}\n      />\n      Active?\n    </CardBody>\n  </Card>\n</Col>\n\n{#if clusterNames?.length > 0}\n  <Col> \n    <Card class=\"h-100\">\n      <CardBody>\n        <CardTitle class=\"mb-3\">Public Dashboard Links</CardTitle>\n        <Row>\n        {#each clusterNames as cn}\n          <Col>\n            <Button color=\"info\" class=\"mb-2 mb-xl-0\" href={`/monitoring/dashboard/${cn}`} target=\"_blank\">\n              <Icon name=\"clipboard-pulse\" class=\"mr-2\"/>\n              {cn.charAt(0).toUpperCase() + cn.slice(1)} Public Dashboard\n            </Button>\n          </Col>\n        {/each}\n        </Row>\n      </CardBody>\n    </Card>\n  </Col>\n{/if}\n\n{#if resampleConfig}\n  <Col> \n    <Card class=\"h-100\">\n      <CardBody>\n        <CardTitle class=\"mb-3\">Metric Plot Resampling Info</CardTitle>\n        <p>Triggered at {resampleConfig.trigger} datapoints.</p>\n        <p>Configured resolutions: {resampleConfig.resolutions}</p>\n      </CardBody>\n    </Card>\n  </Col>\n{/if}\n","numLines":86,"startLine":1,"totalLines":86}},"sourceToolAssistantUUID":"7a5f0483-112b-438f-a439-ca3c66b2e32f","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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`ncontent String`: The homepage notice content\n  - `clusterNames [String]`: The available clusternames\n-->\n\n<script>\n  import { Row, Col } from \"@sveltestrap/sveltestrap\";\n  import { onMount, getContext } from \"svelte\";\n  import EditRole from \"./admin/EditRole.svelte\";\n  import EditProject from \"./admin/EditProject.svelte\";\n  import AddUser from \"./admin/AddUser.svelte\";\n  import ShowUsers from \"./admin/ShowUsers.svelte\";\n  import Options from \"./admin/Options.svelte\";\n  import NoticeEdit from \"./admin/NoticeEdit.svelte\";\n  import RunTaggers from \"./admin/RunTaggers.svelte\";\n\n  /* Svelte 5 Props */\n  let {\n    ncontent,\n    clusterNames\n  } = $props();\n\n  /* Const Init*/\n  const ccconfig = getContext(\"cc-config\");\n\n  /* State Init */\n  let users = $state([]);\n  let roles = $state([]);\n\n  /* Functions */\n  function getUserList() {\n    fetch(\"/config/users/?via-ldap=false&not-just-user=true\")\n      .then((res) => res.json())\n      .then((usersRaw) => {\n        users = usersRaw;\n      });\n  }\n\n  function getValidRoles() {\n    fetch(\"/config/roles/\")\n      .then((res) => res.json())\n      .then((rolesRaw) => {\n        roles = rolesRaw;\n      });\n  }\n\n  function initAdmin() {\n    getUserList();\n    getValidRoles();\n  }\n\n  /* on Mount */\n  onMount(() => initAdmin());\n</script>\n\n<Row cols={2} class=\"p-2 g-2\">\n  <Col class=\"mb-1\">\n    <AddUser {roles} reloadUser={() => getUserList()} />\n  </Col>\n  <Col class=\"mb-1\">\n    <ShowUsers reloadUser={() => getUserList()} bind:users />\n  </Col>\n  <Col>\n    <EditRole {roles} reloadUser={() => getUserList()} />\n  </Col>\n  <Col>\n    <EditProject reloadUser={() => getUserList()} />\n  </Col>\n  <Options config={ccconfig} {clusterNames}/>\n  <NoticeEdit {ncontent}/>\n  <RunTaggers />\n</Row>\n","structuredPatch":[{"oldStart":9,"oldLines":6,"newStart":9,"newLines":7,"lines":[" <script>","   import { Row, Col } from \"@sveltestrap/sveltestrap\";","   import { onMount, getContext } from \"svelte\";","+  import { fade } from \"svelte/transition\";","   import EditRole from \"./admin/EditRole.svelte\";","   import EditProject from \"./admin/EditProject.svelte\";","   import AddUser from \"./admin/AddUser.svelte\";"]},{"oldStart":16,"oldLines":6,"newStart":17,"newLines":7,"lines":["   import Options from \"./admin/Options.svelte\";","   import NoticeEdit from \"./admin/NoticeEdit.svelte\";","   import RunTaggers from \"./admin/RunTaggers.svelte\";","+  import PlotRenderOptions from \"./user/PlotRenderOptions.svelte\";"," ","   /* Svelte 5 Props */","   let {"]},{"oldStart":29,"oldLines":6,"newStart":31,"newLines":8,"lines":["   /* State Init */","   let users = $state([]);","   let roles = $state([]);","+  let message = $state({ msg: \"\", target: \"\", color: \"#d63384\" });","+  let displayMessage = $state(false);"," ","   /* Functions */","   function getUserList() {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"8f4b3a8f-18a3-408f-b52d-cd42e135aaae","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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`ncontent String`: The homepage notice content\n  - `clusterNames [String]`: The available clusternames\n-->\n\n<script>\n  import { Row, Col } from \"@sveltestrap/sveltestrap\";\n  import { onMount, getContext } from \"svelte\";\n  import { fade } from \"svelte/transition\";\n  import EditRole from \"./admin/EditRole.svelte\";\n  import EditProject from \"./admin/EditProject.svelte\";\n  import AddUser from \"./admin/AddUser.svelte\";\n  import ShowUsers from \"./admin/ShowUsers.svelte\";\n  import Options from \"./admin/Options.svelte\";\n  import NoticeEdit from \"./admin/NoticeEdit.svelte\";\n  import RunTaggers from \"./admin/RunTaggers.svelte\";\n  import PlotRenderOptions from \"./user/PlotRenderOptions.svelte\";\n\n  /* Svelte 5 Props */\n  let {\n    ncontent,\n    clusterNames\n  } = $props();\n\n  /* Const Init*/\n  const ccconfig = getContext(\"cc-config\");\n\n  /* State Init */\n  let users = $state([]);\n  let roles = $state([]);\n  let message = $state({ msg: \"\", target: \"\", color: \"#d63384\" });\n  let displayMessage = $state(false);\n\n  /* Functions */\n  function getUserList() {\n    fetch(\"/config/users/?via-ldap=false&not-just-user=true\")\n      .then((res) => res.json())\n      .then((usersRaw) => {\n        users = usersRaw;\n      });\n  }\n\n  function getValidRoles() {\n    fetch(\"/config/roles/\")\n      .then((res) => res.json())\n      .then((rolesRaw) => {\n        roles = rolesRaw;\n      });\n  }\n\n  function initAdmin() {\n    getUserList();\n    getValidRoles();\n  }\n\n  /* on Mount */\n  onMount(() => initAdmin());\n</script>\n\n<Row cols={2} class=\"p-2 g-2\">\n  <Col class=\"mb-1\">\n    <AddUser {roles} reloadUser={() => getUserList()} />\n  </Col>\n  <Col class=\"mb-1\">\n    <ShowUsers reloadUser={() => getUserList()} bind:users />\n  </Col>\n  <Col>\n    <EditRole {roles} reloadUser={() => getUserList()} />\n  </Col>\n  <Col>\n    <EditProject reloadUser={() => getUserList()} />\n  </Col>\n  <Options config={ccconfig} {clusterNames}/>\n  <NoticeEdit {ncontent}/>\n  <RunTaggers />\n</Row>\n","structuredPatch":[{"oldStart":56,"oldLines":6,"newStart":56,"newLines":37,"lines":["     getValidRoles();","   }"," ","+  async function handleSettingSubmit(event, setting) {","+    event.preventDefault();","+","+    const selector = setting.selector","+    const target = setting.target","+    let form = document.querySelector(selector);","+    let formData = new FormData(form);","+    try {","+      const res = await fetch(form.action, { method: \"POST\", body: formData });","+      if (res.ok) {","+        let text = await res.text();","+        popMessage(text, target, \"#048109\");","+      } else {","+        let text = await res.text();","+        throw new Error(\"Response Code \" + res.status + \"-> \" + text);","+      }","+    } catch (err) {","+      popMessage(err, target, \"#d63384\");","+    }","+","+    return false;","+  }","+","+  function popMessage(response, restarget, rescolor) {","+    message = { msg: response, target: restarget, color: rescolor };","+    displayMessage = true;","+    setTimeout(function () {","+      displayMessage = false;","+    }, 3500);","+  }","+","   /* on Mount */","   onMount(() => initAdmin());"," </script>"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"e83142f7-183c-4088-9a10-833d306e3d0d","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"f1010fae-3d90-401e-b9d8-4f597c173362","isSidechain":false,"promptId":"9e3c6c14-f4f2-4b87-b346-2138cb640033","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01C7H6jNCRquGMujPz1W7HhT","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/config/AdminSettings.svelte has been updated successfully."}]},"uuid":"0447ff8f-7b4f-4c40-9a6e-e6fab7299073","timestamp":"2026-03-20T05:25:37.968Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/config/AdminSettings.svelte","oldString":"  <Options config={ccconfig} {clusterNames}/>\n  <NoticeEdit {ncontent}/>\n  <RunTaggers />\n</Row>","newString":"  <Options config={ccconfig} {clusterNames}/>\n  <NoticeEdit {ncontent}/>\n  <RunTaggers />\n</Row>\n<PlotRenderOptions config={ccconfig} bind:message bind:displayMessage updateSetting={(e, newSetting) => handleSettingSubmit(e, newSetting)}/>","originalFile":"<!--\n  @component Admin settings wrapper\n\n  Properties:\n  - `ncontent String`: The homepage notice content\n  - `clusterNames [String]`: The available clusternames\n-->\n\n<script>\n  import { Row, Col } from \"@sveltestrap/sveltestrap\";\n  import { onMount, getContext } from \"svelte\";\n  import { fade } from \"svelte/transition\";\n  import EditRole from \"./admin/EditRole.svelte\";\n  import EditProject from \"./admin/EditProject.svelte\";\n  import AddUser from \"./admin/AddUser.svelte\";\n  import ShowUsers from \"./admin/ShowUsers.svelte\";\n  import Options from \"./admin/Options.svelte\";\n  import NoticeEdit from \"./admin/NoticeEdit.svelte\";\n  import RunTaggers from \"./admin/RunTaggers.svelte\";\n  import PlotRenderOptions from \"./user/PlotRenderOptions.svelte\";\n\n  /* Svelte 5 Props */\n  let {\n    ncontent,\n    clusterNames\n  } = $props();\n\n  /* Const Init*/\n  const ccconfig = getContext(\"cc-config\");\n\n  /* State Init */\n  let users = $state([]);\n  let roles = $state([]);\n  let message = $state({ msg: \"\", target: \"\", color: \"#d63384\" });\n  let displayMessage = $state(false);\n\n  /* Functions */\n  function getUserList() {\n    fetch(\"/config/users/?via-ldap=false&not-just-user=true\")\n      .then((res) => res.json())\n      .then((usersRaw) => {\n        users = usersRaw;\n      });\n  }\n\n  function getValidRoles() {\n    fetch(\"/config/roles/\")\n      .then((res) => res.json())\n      .then((rolesRaw) => {\n        roles = rolesRaw;\n      });\n  }\n\n  function initAdmin() {\n    getUserList();\n    getValidRoles();\n  }\n\n  async function handleSettingSubmit(event, setting) {\n    event.preventDefault();\n\n    const selector = setting.selector\n    const target = setting.target\n    let form = document.querySelector(selector);\n    let formData = new FormData(form);\n    try {\n      const res = await fetch(form.action, { method: \"POST\", body: formData });\n      if (res.ok) {\n        let text = await res.text();\n        popMessage(text, target, \"#048109\");\n      } else {\n        let text = await res.text();\n        throw new Error(\"Response Code \" + res.status + \"-> \" + text);\n      }\n    } catch (err) {\n      popMessage(err, target, \"#d63384\");\n    }\n\n    return false;\n  }\n\n  function popMessage(response, restarget, rescolor) {\n    message = { msg: response, target: restarget, color: rescolor };\n    displayMessage = true;\n    setTimeout(function () {\n      displayMessage = false;\n    }, 3500);\n  }\n\n  /* on Mount */\n  onMount(() => initAdmin());\n</script>\n\n<Row cols={2} class=\"p-2 g-2\">\n  <Col class=\"mb-1\">\n    <AddUser {roles} reloadUser={() => getUserList()} />\n  </Col>\n  <Col class=\"mb-1\">\n    <ShowUsers reloadUser={() => getUserList()} bind:users />\n  </Col>\n  <Col>\n    <EditRole {roles} reloadUser={() => getUserList()} />\n  </Col>\n  <Col>\n    <EditProject reloadUser={() => getUserList()} />\n  </Col>\n  <Options config={ccconfig} {clusterNames}/>\n  <NoticeEdit {ncontent}/>\n  <RunTaggers />\n</Row>\n","structuredPatch":[{"oldStart":108,"oldLines":3,"newStart":108,"newLines":4,"lines":["   <NoticeEdit {ncontent}/>","   <RunTaggers />"," </Row>","+<PlotRenderOptions config={ccconfig} bind:message bind:displayMessage updateSetting={(e, newSetting) => handleSettingSubmit(e, newSetting)}/>"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"f1010fae-3d90-401e-b9d8-4f597c173362","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"0447ff8f-7b4f-4c40-9a6e-e6fab7299073","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01KcskWtGZefEtudBVpMJZMB","type":"message","role":"assistant","content":[{"type":"text","text":"Let me verify the final file looks correct."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":315,"cache_read_input_tokens":28543,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":315},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDmyoevsYRNuA72veFoS","type":"assistant","uuid":"32f47208-3e67-480c-90ff-96afb6c50078","timestamp":"2026-03-20T05:25:41.014Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"32f47208-3e67-480c-90ff-96afb6c50078","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01KcskWtGZefEtudBVpMJZMB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Y1Fyob2ENvbzkP8HNZ1AGj","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/config/AdminSettings.svelte"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":315,"cache_read_input_tokens":28543,"output_tokens":93,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":315,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDmyoevsYRNuA72veFoS","type":"assistant","uuid":"f9acea57-79b9-4f85-b251-42fc1657ce49","timestamp":"2026-03-20T05:25:41.109Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"f9acea57-79b9-4f85-b251-42fc1657ce49","isSidechain":false,"promptId":"9e3c6c14-f4f2-4b87-b346-2138cb640033","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Y1Fyob2ENvbzkP8HNZ1AGj","type":"tool_result","content":"     1→<!--\n     2→  @component Admin settings wrapper\n     3→\n     4→  Properties:\n     5→  - `ncontent String`: The homepage notice content\n     6→  - `clusterNames [String]`: The available clusternames\n     7→-->\n     8→\n     9→<script>\n    10→  import { Row, Col } from \"@sveltestrap/sveltestrap\";\n    11→  import { onMount, getContext } from \"svelte\";\n    12→  import { fade } from \"svelte/transition\";\n    13→  import EditRole from \"./admin/EditRole.svelte\";\n    14→  import EditProject from \"./admin/EditProject.svelte\";\n    15→  import AddUser from \"./admin/AddUser.svelte\";\n    16→  import ShowUsers from \"./admin/ShowUsers.svelte\";\n    17→  import Options from \"./admin/Options.svelte\";\n    18→  import NoticeEdit from \"./admin/NoticeEdit.svelte\";\n    19→  import RunTaggers from \"./admin/RunTaggers.svelte\";\n    20→  import PlotRenderOptions from \"./user/PlotRenderOptions.svelte\";\n    21→\n    22→  /* Svelte 5 Props */\n    23→  let {\n    24→    ncontent,\n    25→    clusterNames\n    26→  } = $props();\n    27→\n    28→  /* Const Init*/\n    29→  const ccconfig = getContext(\"cc-config\");\n    30→\n    31→  /* State Init */\n    32→  let users = $state([]);\n    33→  let roles = $state([]);\n    34→  let message = $state({ msg: \"\", target: \"\", color: \"#d63384\" });\n    35→  let displayMessage = $state(false);\n    36→\n    37→  /* Functions */\n    38→  function getUserList() {\n    39→    fetch(\"/config/users/?via-ldap=false&not-just-user=true\")\n    40→      .then((res) => res.json())\n    41→      .then((usersRaw) => {\n    42→        users = usersRaw;\n    43→      });\n    44→  }\n    45→\n    46→  function getValidRoles() {\n    47→    fetch(\"/config/roles/\")\n    48→      .then((res) => res.json())\n    49→      .then((rolesRaw) => {\n    50→        roles = rolesRaw;\n    51→      });\n    52→  }\n    53→\n    54→  function initAdmin() {\n    55→    getUserList();\n    56→    getValidRoles();\n    57→  }\n    58→\n    59→  async function handleSettingSubmit(event, setting) {\n    60→    event.preventDefault();\n    61→\n    62→    const selector = setting.selector\n    63→    const target = setting.target\n    64→    let form = document.querySelector(selector);\n    65→    let formData = new FormData(form);\n    66→    try {\n    67→      const res = await fetch(form.action, { method: \"POST\", body: formData });\n    68→      if (res.ok) {\n    69→        let text = await res.text();\n    70→        popMessage(text, target, \"#048109\");\n    71→      } else {\n    72→        let text = await res.text();\n    73→        throw new Error(\"Response Code \" + res.status + \"-> \" + text);\n    74→      }\n    75→    } catch (err) {\n    76→      popMessage(err, target, \"#d63384\");\n    77→    }\n    78→\n    79→    return false;\n    80→  }\n    81→\n    82→  function popMessage(response, restarget, rescolor) {\n    83→    message = { msg: response, target: restarget, color: rescolor };\n    84→    displayMessage = true;\n    85→    setTimeout(function () {\n    86→      displayMessage = false;\n    87→    }, 3500);\n    88→  }\n    89→\n    90→  /* on Mount */\n    91→  onMount(() => initAdmin());\n    92→</script>\n    93→\n    94→<Row cols={2} class=\"p-2 g-2\">\n    95→  <Col class=\"mb-1\">\n    96→    <AddUser {roles} reloadUser={() => getUserList()} />\n    97→  </Col>\n    98→  <Col class=\"mb-1\">\n    99→    <ShowUsers reloadUser={() => getUserList()} bind:users />\n   100→  </Col>\n   101→  <Col>\n   102→    <EditRole {roles} reloadUser={() => getUserList()} />\n   103→  </Col>\n   104→  <Col>\n   105→    <EditProject reloadUser={() => getUserList()} />\n   106→  </Col>\n   107→  <Options config={ccconfig} {clusterNames}/>\n   108→  <NoticeEdit {ncontent}/>\n   109→  <RunTaggers />\n   110→</Row>\n   111→<PlotRenderOptions config={ccconfig} bind:message bind:displayMessage updateSetting={(e, newSetting) => handleSettingSubmit(e, newSetting)}/>\n   112→"}]},"uuid":"a58d5a20-7b1b-4ca1-927a-50c16fc6ff6d","timestamp":"2026-03-20T05:25:41.117Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/config/AdminSettings.svelte","content":"<!--\n  @component Admin settings wrapper\n\n  Properties:\n  - `ncontent String`: The homepage notice content\n  - `clusterNames [String]`: The available clusternames\n-->\n\n<script>\n  import { Row, Col } from \"@sveltestrap/sveltestrap\";\n  import { onMount, getContext } from \"svelte\";\n  import { fade } from \"svelte/transition\";\n  import EditRole from \"./admin/EditRole.svelte\";\n  import EditProject from \"./admin/EditProject.svelte\";\n  import AddUser from \"./admin/AddUser.svelte\";\n  import ShowUsers from \"./admin/ShowUsers.svelte\";\n  import Options from \"./admin/Options.svelte\";\n  import NoticeEdit from \"./admin/NoticeEdit.svelte\";\n  import RunTaggers from \"./admin/RunTaggers.svelte\";\n  import PlotRenderOptions from \"./user/PlotRenderOptions.svelte\";\n\n  /* Svelte 5 Props */\n  let {\n    ncontent,\n    clusterNames\n  } = $props();\n\n  /* Const Init*/\n  const ccconfig = getContext(\"cc-config\");\n\n  /* State Init */\n  let users = $state([]);\n  let roles = $state([]);\n  let message = $state({ msg: \"\", target: \"\", color: \"#d63384\" });\n  let displayMessage = $state(false);\n\n  /* Functions */\n  function getUserList() {\n    fetch(\"/config/users/?via-ldap=false&not-just-user=true\")\n      .then((res) => res.json())\n      .then((usersRaw) => {\n        users = usersRaw;\n      });\n  }\n\n  function getValidRoles() {\n    fetch(\"/config/roles/\")\n      .then((res) => res.json())\n      .then((rolesRaw) => {\n        roles = rolesRaw;\n      });\n  }\n\n  function initAdmin() {\n    getUserList();\n    getValidRoles();\n  }\n\n  async function handleSettingSubmit(event, setting) {\n    event.preventDefault();\n\n    const selector = setting.selector\n    const target = setting.target\n    let form = document.querySelector(selector);\n    let formData = new FormData(form);\n    try {\n      const res = await fetch(form.action, { method: \"POST\", body: formData });\n      if (res.ok) {\n        let text = await res.text();\n        popMessage(text, target, \"#048109\");\n      } else {\n        let text = await res.text();\n        throw new Error(\"Response Code \" + res.status + \"-> \" + text);\n      }\n    } catch (err) {\n      popMessage(err, target, \"#d63384\");\n    }\n\n    return false;\n  }\n\n  function popMessage(response, restarget, rescolor) {\n    message = { msg: response, target: restarget, color: rescolor };\n    displayMessage = true;\n    setTimeout(function () {\n      displayMessage = false;\n    }, 3500);\n  }\n\n  /* on Mount */\n  onMount(() => initAdmin());\n</script>\n\n<Row cols={2} class=\"p-2 g-2\">\n  <Col class=\"mb-1\">\n    <AddUser {roles} reloadUser={() => getUserList()} />\n  </Col>\n  <Col class=\"mb-1\">\n    <ShowUsers reloadUser={() => getUserList()} bind:users />\n  </Col>\n  <Col>\n    <EditRole {roles} reloadUser={() => getUserList()} />\n  </Col>\n  <Col>\n    <EditProject reloadUser={() => getUserList()} />\n  </Col>\n  <Options config={ccconfig} {clusterNames}/>\n  <NoticeEdit {ncontent}/>\n  <RunTaggers />\n</Row>\n<PlotRenderOptions config={ccconfig} bind:message bind:displayMessage updateSetting={(e, newSetting) => handleSettingSubmit(e, newSetting)}/>\n","numLines":112,"startLine":1,"totalLines":112}},"sourceToolAssistantUUID":"f9acea57-79b9-4f85-b251-42fc1657ce49","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"7d7c7818-f755-415a-92e0-74b666639561","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01XwkcdnVhSGoEgNwDSAZb9r","toolUseID":"toolu_01XwkcdnVhSGoEgNwDSAZb9r","timestamp":"2026-03-20T05:31:53.793Z","uuid":"e021109a-eb35-4b51-86c3-cc563eecfd10","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"7d7c7818-f755-415a-92e0-74b666639561","isSidechain":false,"promptId":"ec7b9c8f-8429-4712-810a-2dbdd620efff","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XwkcdnVhSGoEgNwDSAZb9r","type":"tool_result","content":"     1→import { mount } from 'svelte';\n     2→import {} from './header.entrypoint.js'\n     3→import Config from './Config.root.svelte'\n     4→\n     5→mount(Config, {\n     6→    target: document.getElementById('svelte-app'),\n     7→    props: {\n     8→        isAdmin: isAdmin,\n     9→        isSupport: isSupport,\n    10→        isApi: isApi,\n    11→        username: username,\n    12→        ncontent: ncontent,\n    13→        clusterNames: hClusterNames\n    14→    },\n    15→    context: new Map([\n    16→            ['cc-config', clusterCockpitConfig],\n    17→            ['resampling', resampleConfig]\n    18→    ])\n    19→})\n    20→"}]},"uuid":"fccaf644-1f28-46cf-b346-6d78c6a332c8","timestamp":"2026-03-20T05:31:53.793Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/config.entrypoint.js","content":"import { mount } from 'svelte';\nimport {} from './header.entrypoint.js'\nimport Config from './Config.root.svelte'\n\nmount(Config, {\n    target: document.getElementById('svelte-app'),\n    props: {\n        isAdmin: isAdmin,\n        isSupport: isSupport,\n        isApi: isApi,\n        username: username,\n        ncontent: ncontent,\n        clusterNames: hClusterNames\n    },\n    context: new Map([\n            ['cc-config', clusterCockpitConfig],\n            ['resampling', resampleConfig]\n    ])\n})\n","numLines":20,"startLine":1,"totalLines":20}},"sourceToolAssistantUUID":"7d7c7818-f755-415a-92e0-74b666639561","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"7750bf7b-465a-4e9c-ad05-1000905dfbf7","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01WdNWNnAaXjESyCBppRqAYr","toolUseID":"toolu_01WdNWNnAaXjESyCBppRqAYr","timestamp":"2026-03-20T05:31:54.088Z","uuid":"4aa12ed0-8a0f-4401-8c60-1da2096d9538","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"7750bf7b-465a-4e9c-ad05-1000905dfbf7","isSidechain":false,"promptId":"ec7b9c8f-8429-4712-810a-2dbdd620efff","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WdNWNnAaXjESyCBppRqAYr","type":"tool_result","content":"     1→<!--\n     2→  @component Main Config Option Component, Wrapper for admin and user sub-components\n     3→\n     4→  Properties:\n     5→  - `ìsAdmin Bool!`: Is currently logged in user admin authority\n     6→  - `isSupport Bool!`: Is currently logged in user support authority\n     7→  - `isApi Bool!`: Is currently logged in user api authority\n     8→  - `username String!`: Empty string if auth. is disabled, otherwise the username as string\n     9→  - `ncontent String!`: The currently displayed message on the homescreen\n    10→  - `clusterNames [String]`: The available clusternames\n    11→-->\n    12→\n    13→<script>\n    14→  import { Card, CardHeader, CardTitle } from \"@sveltestrap/sveltestrap\";\n    15→  import UserSettings from \"./config/UserSettings.svelte\";\n    16→  import SupportSettings from \"./config/SupportSettings.svelte\";\n    17→  import AdminSettings from \"./config/AdminSettings.svelte\";\n    18→\n    19→  /* Svelte 5 Props */\n    20→  let {\n    21→    isAdmin,\n    22→    isSupport,\n    23→    isApi,\n    24→    username,\n    25→    ncontent,\n    26→    clusterNames\n    27→  } = $props();\n    28→</script>\n    29→\n    30→{#if isAdmin}\n    31→  <Card style=\"margin-bottom: 1.5rem;\">\n    32→    <CardHeader>\n    33→      <CardTitle class=\"mb-1\">Admin Options</CardTitle>\n    34→    </CardHeader>\n    35→    <AdminSettings {ncontent} {clusterNames}/>\n    36→  </Card>\n    37→{/if}\n    38→\n    39→{#if isSupport || isAdmin}\n    40→  <Card style=\"margin-bottom: 1.5rem;\">\n    41→    <CardHeader>\n    42→      <CardTitle class=\"mb-1\">Support Options</CardTitle>\n    43→    </CardHeader>\n    44→    <SupportSettings/>\n    45→  </Card>\n    46→{/if}\n    47→\n    48→<Card>\n    49→  <CardHeader>\n    50→    <CardTitle class=\"mb-1\">User Options</CardTitle>\n    51→  </CardHeader>\n    52→  <UserSettings {username} {isApi}/>\n    53→</Card>\n    54→"}]},"uuid":"1fd9ff59-9bcf-47e8-a75c-bf3274d5c9b0","timestamp":"2026-03-20T05:31:54.088Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/Config.root.svelte","content":"<!--\n  @component Main Config Option Component, Wrapper for admin and user sub-components\n\n  Properties:\n  - `ìsAdmin Bool!`: Is currently logged in user admin authority\n  - `isSupport Bool!`: Is currently logged in user support authority\n  - `isApi Bool!`: Is currently logged in user api authority\n  - `username String!`: Empty string if auth. is disabled, otherwise the username as string\n  - `ncontent String!`: The currently displayed message on the homescreen\n  - `clusterNames [String]`: The available clusternames\n-->\n\n<script>\n  import { Card, CardHeader, CardTitle } from \"@sveltestrap/sveltestrap\";\n  import UserSettings from \"./config/UserSettings.svelte\";\n  import SupportSettings from \"./config/SupportSettings.svelte\";\n  import AdminSettings from \"./config/AdminSettings.svelte\";\n\n  /* Svelte 5 Props */\n  let {\n    isAdmin,\n    isSupport,\n    isApi,\n    username,\n    ncontent,\n    clusterNames\n  } = $props();\n</script>\n\n{#if isAdmin}\n  <Card style=\"margin-bottom: 1.5rem;\">\n    <CardHeader>\n      <CardTitle class=\"mb-1\">Admin Options</CardTitle>\n    </CardHeader>\n    <AdminSettings {ncontent} {clusterNames}/>\n  </Card>\n{/if}\n\n{#if isSupport || isAdmin}\n  <Card style=\"margin-bottom: 1.5rem;\">\n    <CardHeader>\n      <CardTitle class=\"mb-1\">Support Options</CardTitle>\n    </CardHeader>\n    <SupportSettings/>\n  </Card>\n{/if}\n\n<Card>\n  <CardHeader>\n    <CardTitle class=\"mb-1\">User Options</CardTitle>\n  </CardHeader>\n  <UserSettings {username} {isApi}/>\n</Card>\n","numLines":54,"startLine":1,"totalLines":54}},"sourceToolAssistantUUID":"7750bf7b-465a-4e9c-ad05-1000905dfbf7","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"1fd9ff59-9bcf-47e8-a75c-bf3274d5c9b0","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_016gXiimXwyHWHRy2qgapbEG","type":"message","role":"assistant","content":[{"type":"text","text":"The context `cc-config` and `resampling` are set at the entrypoint level, so they should be available to AdminSettings via `getContext`. Let me check how the `clusterCockpitConfig` and `resampleConfig` variables are provided in the template."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1158,"cache_read_input_tokens":31017,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1158},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDnTXvuaWPzDR31sjBTR","type":"assistant","uuid":"c9df7cb5-2cb3-4432-a685-5431fd3ca4eb","timestamp":"2026-03-20T05:31:58.330Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"423ccbab-377c-4c4c-aa32-6344bacddd70","isSidechain":false,"promptId":"ec7b9c8f-8429-4712-810a-2dbdd620efff","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01T3pCJBusqjL2WJxCbgDUvV","type":"tool_result","content":"   143→// MountConfigAPIRoutes registers configuration and user management endpoints.\n   144→// These routes use session-based authentication and require admin privileges.\n   145→// Routes use full paths (including /config prefix) to avoid conflicting with\n   146→// the /config page route when registered via Group instead of Route.\n   147→func (api *RestAPI) MountConfigAPIRoutes(r chi.Router) {\n   148→\t// Settings Frontend Uses SessionAuth\n   149→\tif api.Authentication != nil {\n   150→\t\tr.Get(\"/config/roles/\", api.getRoles)\n   151→\t\tr.Post(\"/config/users/\", api.createUser)\n   152→\t\tr.Put(\"/config/users/\", api.createUser)\n   153→\t\tr.Get(\"/config/users/\", api.getUsers)\n   154→\t\tr.Delete(\"/config/users/\", api.deleteUser)\n   155→\t\tr.Post(\"/config/user/{id}\", api.updateUser)\n   156→\t\tr.Post(\"/config/notice/\", api.editNotice)\n   157→\t\tr.Get(\"/config/taggers/\", api.getTaggers)\n   158→\t\tr.Post(\"/config/taggers/run/\", api.runTagger)\n   159→\t}\n   160→}\n   161→\n   162→// MountFrontendAPIRoutes registers frontend-specific API endpoints.\n   163→// These routes support JWT generation and user configuration updates with session authentication.\n   164→func (api *RestAPI) MountFrontendAPIRoutes(r chi.Router) {\n   165→\tr.Get(\"/logs/\", api.getJournalLog)\n   166→\t// Settings Frontend Uses SessionAuth\n   167→\tif api.Authentication != nil {\n   168→\t\tr.Get(\"/jwt/\", api.getJWT)\n   169→\t\tr.Post(\"/configuration/\", api.updateConfiguration)\n   170→\t}\n   171→}\n   172→\n   173→// ErrorResponse model\n   174→type ErrorResponse struct {\n   175→\t// Statustext of Errorcode\n   176→\tStatus string `json:\"status\"`\n   177→\tError  string `json:\"error\"` // Error Message"}]},"uuid":"dc5ada81-6c5a-4bf7-9809-474c4c28d2c6","timestamp":"2026-03-20T05:32:20.137Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/rest.go","content":"// MountConfigAPIRoutes registers configuration and user management endpoints.\n// These routes use session-based authentication and require admin privileges.\n// Routes use full paths (including /config prefix) to avoid conflicting with\n// the /config page route when registered via Group instead of Route.\nfunc (api *RestAPI) MountConfigAPIRoutes(r chi.Router) {\n\t// Settings Frontend Uses SessionAuth\n\tif api.Authentication != nil {\n\t\tr.Get(\"/config/roles/\", api.getRoles)\n\t\tr.Post(\"/config/users/\", api.createUser)\n\t\tr.Put(\"/config/users/\", api.createUser)\n\t\tr.Get(\"/config/users/\", api.getUsers)\n\t\tr.Delete(\"/config/users/\", api.deleteUser)\n\t\tr.Post(\"/config/user/{id}\", api.updateUser)\n\t\tr.Post(\"/config/notice/\", api.editNotice)\n\t\tr.Get(\"/config/taggers/\", api.getTaggers)\n\t\tr.Post(\"/config/taggers/run/\", api.runTagger)\n\t}\n}\n\n// MountFrontendAPIRoutes registers frontend-specific API endpoints.\n// These routes support JWT generation and user configuration updates with session authentication.\nfunc (api *RestAPI) MountFrontendAPIRoutes(r chi.Router) {\n\tr.Get(\"/logs/\", api.getJournalLog)\n\t// Settings Frontend Uses SessionAuth\n\tif api.Authentication != nil {\n\t\tr.Get(\"/jwt/\", api.getJWT)\n\t\tr.Post(\"/configuration/\", api.updateConfiguration)\n\t}\n}\n\n// ErrorResponse model\ntype ErrorResponse struct {\n\t// Statustext of Errorcode\n\tStatus string `json:\"status\"`\n\tError  string `json:\"error\"` // Error Message","numLines":35,"startLine":143,"totalLines":499}},"sourceToolAssistantUUID":"423ccbab-377c-4c4c-aa32-6344bacddd70","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"dc5ada81-6c5a-4bf7-9809-474c4c28d2c6","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01R7HhE5jwtH83Wr9wAKV6HY","type":"message","role":"assistant","content":[{"type":"text","text":"OK so the endpoint exists and should be accessible. The issue is probably something else. Let me actually look at the browser to understand what's happening. Let me check if there's a build step needed."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":672,"cache_read_input_tokens":34240,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":672},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDnVT13hJSo4BiE1Dmtt","type":"assistant","uuid":"f26d424b-4e95-42cf-bf6d-c7917ff28eba","timestamp":"2026-03-20T05:32:23.559Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"f26d424b-4e95-42cf-bf6d-c7917ff28eba","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01R7HhE5jwtH83Wr9wAKV6HY","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01X9J3ip672Rfrd2iTQkp2d7","name":"Bash","input":{"command":"ls web/frontend/public/build/ 2>/dev/null | head -5","description":"Check if build output exists"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":672,"cache_read_input_tokens":34240,"output_tokens":152,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":672,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDnVT13hJSo4BiE1Dmtt","type":"assistant","uuid":"dfd15d8c-390b-423e-b9fc-5130b7c33d82","timestamp":"2026-03-20T05:32:24.519Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"dfd15d8c-390b-423e-b9fc-5130b7c33d82","isSidechain":false,"promptId":"ec7b9c8f-8429-4712-810a-2dbdd620efff","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01X9J3ip672Rfrd2iTQkp2d7","type":"tool_result","content":"analysis.css\nanalysis.js\nconfig.css\nconfig.js\ndashpublic.css","is_error":false}]},"uuid":"aa84e89b-03d3-465a-b068-c1f2efaeda0f","timestamp":"2026-03-20T05:32:25.018Z","toolUseResult":{"stdout":"analysis.css\nanalysis.js\nconfig.css\nconfig.js\ndashpublic.css","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"dfd15d8c-390b-423e-b9fc-5130b7c33d82","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"aa84e89b-03d3-465a-b068-c1f2efaeda0f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01SSArCbBFEV3Kbxbob1BRKV","type":"message","role":"assistant","content":[{"type":"text","text":"The frontend needs to be rebuilt. But first, let me also check if there's a `fade` import issue — `fade` was imported but never used directly in the AdminSettings template (it's used inside PlotRenderOptions which imports its own)."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":277,"cache_read_input_tokens":34912,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":277},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDnVoqS2xfz2b2qjcYY7","type":"assistant","uuid":"57d1d388-6cc7-4b7f-9394-329e261f18aa","timestamp":"2026-03-20T05:32:29.498Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"91d49cd9-cd1e-49bf-8d5c-bf6550b05d44","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01TrWF6bMyNe4kK5WJwJwtQ6","toolUseID":"toolu_01TrWF6bMyNe4kK5WJwJwtQ6","timestamp":"2026-03-20T05:32:30.515Z","uuid":"7cb54dff-c4c1-4121-a816-59572448096f","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"91d49cd9-cd1e-49bf-8d5c-bf6550b05d44","isSidechain":false,"promptId":"ec7b9c8f-8429-4712-810a-2dbdd620efff","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TrWF6bMyNe4kK5WJwJwtQ6","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/config/AdminSettings.svelte has been updated successfully."}]},"uuid":"b75a334d-45af-40fb-a5ac-d8f97b6e92c7","timestamp":"2026-03-20T05:32:30.515Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/config/AdminSettings.svelte","oldString":"  import { onMount, getContext } from \"svelte\";\n  import { fade } from \"svelte/transition\";","newString":"  import { onMount, getContext } from \"svelte\";","originalFile":"<!--\n  @component Admin settings wrapper\n\n  Properties:\n  - `ncontent String`: The homepage notice content\n  - `clusterNames [String]`: The available clusternames\n-->\n\n<script>\n  import { Row, Col } from \"@sveltestrap/sveltestrap\";\n  import { onMount, getContext } from \"svelte\";\n  import { fade } from \"svelte/transition\";\n  import EditRole from \"./admin/EditRole.svelte\";\n  import EditProject from \"./admin/EditProject.svelte\";\n  import AddUser from \"./admin/AddUser.svelte\";\n  import ShowUsers from \"./admin/ShowUsers.svelte\";\n  import Options from \"./admin/Options.svelte\";\n  import NoticeEdit from \"./admin/NoticeEdit.svelte\";\n  import RunTaggers from \"./admin/RunTaggers.svelte\";\n  import PlotRenderOptions from \"./user/PlotRenderOptions.svelte\";\n\n  /* Svelte 5 Props */\n  let {\n    ncontent,\n    clusterNames\n  } = $props();\n\n  /* Const Init*/\n  const ccconfig = getContext(\"cc-config\");\n\n  /* State Init */\n  let users = $state([]);\n  let roles = $state([]);\n  let message = $state({ msg: \"\", target: \"\", color: \"#d63384\" });\n  let displayMessage = $state(false);\n\n  /* Functions */\n  function getUserList() {\n    fetch(\"/config/users/?via-ldap=false&not-just-user=true\")\n      .then((res) => res.json())\n      .then((usersRaw) => {\n        users = usersRaw;\n      });\n  }\n\n  function getValidRoles() {\n    fetch(\"/config/roles/\")\n      .then((res) => res.json())\n      .then((rolesRaw) => {\n        roles = rolesRaw;\n      });\n  }\n\n  function initAdmin() {\n    getUserList();\n    getValidRoles();\n  }\n\n  async function handleSettingSubmit(event, setting) {\n    event.preventDefault();\n\n    const selector = setting.selector\n    const target = setting.target\n    let form = document.querySelector(selector);\n    let formData = new FormData(form);\n    try {\n      const res = await fetch(form.action, { method: \"POST\", body: formData });\n      if (res.ok) {\n        let text = await res.text();\n        popMessage(text, target, \"#048109\");\n      } else {\n        let text = await res.text();\n        throw new Error(\"Response Code \" + res.status + \"-> \" + text);\n      }\n    } catch (err) {\n      popMessage(err, target, \"#d63384\");\n    }\n\n    return false;\n  }\n\n  function popMessage(response, restarget, rescolor) {\n    message = { msg: response, target: restarget, color: rescolor };\n    displayMessage = true;\n    setTimeout(function () {\n      displayMessage = false;\n    }, 3500);\n  }\n\n  /* on Mount */\n  onMount(() => initAdmin());\n</script>\n\n<Row cols={2} class=\"p-2 g-2\">\n  <Col class=\"mb-1\">\n    <AddUser {roles} reloadUser={() => getUserList()} />\n  </Col>\n  <Col class=\"mb-1\">\n    <ShowUsers reloadUser={() => getUserList()} bind:users />\n  </Col>\n  <Col>\n    <EditRole {roles} reloadUser={() => getUserList()} />\n  </Col>\n  <Col>\n    <EditProject reloadUser={() => getUserList()} />\n  </Col>\n  <Options config={ccconfig} {clusterNames}/>\n  <NoticeEdit {ncontent}/>\n  <RunTaggers />\n</Row>\n<PlotRenderOptions config={ccconfig} bind:message bind:displayMessage updateSetting={(e, newSetting) => handleSettingSubmit(e, newSetting)}/>\n","structuredPatch":[{"oldStart":9,"oldLines":7,"newStart":9,"newLines":6,"lines":[" <script>","   import { Row, Col } from \"@sveltestrap/sveltestrap\";","   import { onMount, getContext } from \"svelte\";","-  import { fade } from \"svelte/transition\";","   import EditRole from \"./admin/EditRole.svelte\";","   import EditProject from \"./admin/EditProject.svelte\";","   import AddUser from \"./admin/AddUser.svelte\";"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"91d49cd9-cd1e-49bf-8d5c-bf6550b05d44","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"b75a334d-45af-40fb-a5ac-d8f97b6e92c7","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01RsTLwT9ndLRhbxKgPsK5NL","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me rebuild the frontend."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":282,"cache_read_input_tokens":35189,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":282},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDnWDPHKWNbUQC5X7HZu","type":"assistant","uuid":"2594a4e3-26fc-47ba-9ce2-6ec66117b43c","timestamp":"2026-03-20T05:32:33.293Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"2594a4e3-26fc-47ba-9ce2-6ec66117b43c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01RsTLwT9ndLRhbxKgPsK5NL","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012rbmXXHJ6QxMPJBBNP8V6E","name":"Bash","input":{"command":"cd /Users/jan/prg/ClusterCockpit/cc-backend/web/frontend && npm run build 2>&1","description":"Build the frontend","timeout":60000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":282,"cache_read_input_tokens":35189,"output_tokens":126,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":282,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDnWDPHKWNbUQC5X7HZu","type":"assistant","uuid":"6e19dc3b-f385-48a7-bf6d-be174d718bcc","timestamp":"2026-03-20T05:32:34.023Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"6e19dc3b-f385-48a7-bf6d-be174d718bcc","isSidechain":false,"promptId":"ec7b9c8f-8429-4712-810a-2dbdd620efff","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012rbmXXHJ6QxMPJBBNP8V6E","type":"tool_result","content":"ok (no errors)","is_error":false}]},"uuid":"91ec90bd-fda6-4eb6-96da-84b2fe854d68","timestamp":"2026-03-20T05:33:22.389Z","toolUseResult":{"stdout":"> cc-frontend@1.5.2 build\n> rollup -c\n\n\u001b[36m\n\u001b[1msrc/header.entrypoint.js\u001b[22m → \u001b[1mpublic/build/header.js\u001b[22m...\u001b[39m\n\u001b[1m\u001b[33m(!) Circular dependencies\u001b[39m\u001b[22m\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/runtime.js\nnode_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dom/hydration.js -> node_modules/svelte/src/internal/client/dom/operations.js\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dev/equality.js -> node_modules/svelte/src/internal/client/proxy.js -> node_modules/svelte/src/internal/client/runtime.js\n...and 36 more\n\u001b[32mcreated \u001b[1mpublic/build/header.js\u001b[22m in \u001b[1m1.6s\u001b[22m\u001b[39m\n\u001b[36m\n\u001b[1msrc/jobs.entrypoint.js\u001b[22m → \u001b[1mpublic/build/jobs.js\u001b[22m...\u001b[39m\n\u001b[1m\u001b[33m(!) Circular dependencies\u001b[39m\u001b[22m\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/runtime.js\nnode_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dom/hydration.js -> node_modules/svelte/src/internal/client/dom/operations.js\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dev/equality.js -> node_modules/svelte/src/internal/client/proxy.js -> node_modules/svelte/src/internal/client/runtime.js\n...and 38 more\n\u001b[32mcreated \u001b[1mpublic/build/jobs.js\u001b[22m in \u001b[1m5.4s\u001b[22m\u001b[39m\n\u001b[36m\n\u001b[1msrc/user.entrypoint.js\u001b[22m → \u001b[1mpublic/build/user.js\u001b[22m...\u001b[39m\n\u001b[1m\u001b[33m(!) 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resampleFn(data, minfo.Frequency, resolution)\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/query.go:624:\tresampleAlgo string,\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/query.go:646:\t\tResampleAlgo: resampleAlgo,\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go:49:\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go:65:\tresampleAlgo string,\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go:68:\t\t*job.ID, job.State, metrics, scopes, resolution, resampleAlgo)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go:75:// For completed archived jobs, data is loaded from the job archive and resampled if needed.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go:91:\tresampleAlgo string,\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go:93:\tdata := cache.Get(cacheKey(job, metrics, scopes, resolution, resampleAlgo), func() (_ any, ttl time.Duration, size int) {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go:143:\t\t\tresampleFn, rfErr := resampler.GetResampler(resampleAlgo)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go:151:\t\t\t\t\t\tv_.Series[i].Data, timestep, err = resampleFn(v_.Series[i].Data, int64(v_.Timestep), int64(resolution))\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go:423:\tresampleAlgo string,\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go:438:\tdata, err := ms.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, resolution, from, to, ctx, resampleAlgo)\n/Users/jan/prg/ClusterCockpit/cc-backend/web/web.go:75:\tResampleAlgo    string   `json:\"resample-algo\"`\n/Users/jan/prg/ClusterCockpit/cc-backend/web/web.go:76:\tResamplePolicy  string   `json:\"resample-policy\"`\n/Users/jan/prg/ClusterCockpit/cc-backend/web/web.go:149:\tUIDefaultsMap[\"plotConfiguration_resampleAlgo\"] = UIDefaults.PlotConfiguration.ResampleAlgo\n/Users/jan/prg/ClusterCockpit/cc-backend/web/web.go:150:\tUIDefaultsMap[\"plotConfiguration_resamplePolicy\"] = UIDefaults.PlotConfiguration.ResamplePolicy\n/Users/jan/prg/ClusterCockpit/cc-backend/web/web.go:271:\tResampling    *config.ResampleConfig // If not nil, defines resampling trigger and resolutions\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricstoreclient/cc-metric-store.go:620:\tresampleAlgo string,\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/metricdata.go:55:\t\tresampleAlgo string) (map[string]schema.JobData, error)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go:15:\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go:73:\tEnableResampling *ResampleConfig `json:\"resampling\"`\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go:108:type ResampleConfig struct {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go:160:\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go:161:\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/routerConfig/routes.go:505:\t\t\t\tResampling: resampling,\n\n[Showing results with pagination = limit: 30, offset: 0]"}]},"uuid":"2d314229-0dd0-4b54-8eab-7a866c859625","timestamp":"2026-03-20T06:10:57.844Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/api.go:62:\tResampleAlgo string     `json:\"resample-algo,omitempty\"`\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go:36:\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go:682:func (m *MemoryStore) Read(selector util.Selector, metric string, from, to, resolution int64, resampleAlgo string) ([]schema.Float, int64, int64, int64, error) {\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go:740:\tresampleFn, rfErr := resampler.GetResampler(resampleAlgo)\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go:744:\tdata, resolution, err = resampleFn(data, minfo.Frequency, resolution)\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/query.go:624:\tresampleAlgo string,\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/query.go:646:\t\tResampleAlgo: resampleAlgo,\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go:49:\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go:65:\tresampleAlgo string,\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go:68:\t\t*job.ID, job.State, metrics, scopes, resolution, resampleAlgo)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go:75:// For completed archived jobs, data is loaded from the job archive and resampled if needed.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go:91:\tresampleAlgo string,\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go:93:\tdata := cache.Get(cacheKey(job, metrics, scopes, resolution, resampleAlgo), func() (_ any, ttl time.Duration, size int) {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go:143:\t\t\tresampleFn, rfErr := resampler.GetResampler(resampleAlgo)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go:151:\t\t\t\t\t\tv_.Series[i].Data, timestep, err = resampleFn(v_.Series[i].Data, int64(v_.Timestep), int64(resolution))\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go:423:\tresampleAlgo string,\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go:438:\tdata, err := ms.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, resolution, from, to, ctx, resampleAlgo)\n/Users/jan/prg/ClusterCockpit/cc-backend/web/web.go:75:\tResampleAlgo    string   `json:\"resample-algo\"`\n/Users/jan/prg/ClusterCockpit/cc-backend/web/web.go:76:\tResamplePolicy  string   `json:\"resample-policy\"`\n/Users/jan/prg/ClusterCockpit/cc-backend/web/web.go:149:\tUIDefaultsMap[\"plotConfiguration_resampleAlgo\"] = UIDefaults.PlotConfiguration.ResampleAlgo\n/Users/jan/prg/ClusterCockpit/cc-backend/web/web.go:150:\tUIDefaultsMap[\"plotConfiguration_resamplePolicy\"] = UIDefaults.PlotConfiguration.ResamplePolicy\n/Users/jan/prg/ClusterCockpit/cc-backend/web/web.go:271:\tResampling    *config.ResampleConfig // If not nil, defines resampling trigger and resolutions\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricstoreclient/cc-metric-store.go:620:\tresampleAlgo string,\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/metricdata.go:55:\t\tresampleAlgo string) (map[string]schema.JobData, error)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go:15:\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go:73:\tEnableResampling *ResampleConfig `json:\"resampling\"`\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go:108:type ResampleConfig struct {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go:160:\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go:161:\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/routerConfig/routes.go:505:\t\t\t\tResampling: resampling,","numLines":30,"appliedLimit":30},"sourceToolAssistantUUID":"b885c38d-412e-4ab0-9f75-d00f085b7b3a","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"1ffa6521-f044-43a5-bdc0-addc3ad5d7ea","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"Explore the policy-based resampling approach in this codebase. I need to understand:\n\n1. Look at the recent git commits, especially \"Replace explicit resampling config with policy based approach\" (commit 0069c86e) and \"Introduce average resampler support\" (c0d2d65f). Run `git show 0069c86e` and `git show c0d2d65f` to see the full diffs.\n\n2. Look at `internal/config/config.go` - specifically the `ResampleConfig` struct and how `EnableResampling` is used. How does the config.json `\"resampling\"` key map to the Go struct?\n\n3. Look at `web/web.go` - how is the resampling config passed to the frontend? What does the `Resampling` field in page data look like?\n\n4. Look at `internal/routerConfig/routes.go` - how is the resampling config used when rendering pages?\n\n5. Look at the GraphQL schema (`api/schema.graphqls`) and resolvers (`internal/graph/schema.resolvers.go`) for any resolution/resample parameters in queries like `jobMetrics` or similar.\n\n6. Look at how resolution is computed from policy - search for \"policy\" or \"targetPoints\" or \"TargetPoints\" in the codebase.\n\n7. Check `web/frontend/src/config/user/PlotRenderOptions.svelte` for the resample policy and algorithm UI options.\n\nBe very thorough - I need to understand the full flow from config.json -> Go config -> frontend context -> GraphQL query -> metric loading."}]},"uuid":"e95552a7-1352-43f2-8f7c-892c5616f584","timestamp":"2026-03-20T06:15:00.513Z"},"type":"agent_progress","prompt":"Explore the policy-based resampling approach in this codebase. I need to understand:\n\n1. Look at the recent git commits, especially \"Replace explicit resampling config with policy based approach\" (commit 0069c86e) and \"Introduce average resampler support\" (c0d2d65f). Run `git show 0069c86e` and `git show c0d2d65f` to see the full diffs.\n\n2. Look at `internal/config/config.go` - specifically the `ResampleConfig` struct and how `EnableResampling` is used. How does the config.json `\"resampling\"` key map to the Go struct?\n\n3. Look at `web/web.go` - how is the resampling config passed to the frontend? What does the `Resampling` field in page data look like?\n\n4. Look at `internal/routerConfig/routes.go` - how is the resampling config used when rendering pages?\n\n5. Look at the GraphQL schema (`api/schema.graphqls`) and resolvers (`internal/graph/schema.resolvers.go`) for any resolution/resample parameters in queries like `jobMetrics` or similar.\n\n6. Look at how resolution is computed from policy - search for \"policy\" or \"targetPoints\" or \"TargetPoints\" in the codebase.\n\n7. Check `web/frontend/src/config/user/PlotRenderOptions.svelte` for the resample policy and algorithm UI options.\n\nBe very thorough - I need to understand the full flow from config.json -> Go config -> frontend context -> GraphQL query -> metric loading.","agentId":"a94d541086ef2e733"},"toolUseID":"agent_msg_01KkzdazjB6DcKN6KmbtGTKq","parentToolUseID":"toolu_018fSdSLwvUuC9yLt4j7CLXd","uuid":"6aeae92f-0949-46a0-a5b1-1d88bb458906","timestamp":"2026-03-20T06:15:00.514Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"6aeae92f-0949-46a0-a5b1-1d88bb458906","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-20T06:15:04.045Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01LYxaU6facqWwd4p94ddBos","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Dqebt2zrEtymhw8XZp42NK","name":"Bash","input":{"command":"cd /Users/jan/prg/ClusterCockpit/cc-backend && git show 0069c86e --stat"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":17960,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":17960,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZDqkG12e3CxFDDDTCSoi","uuid":"a6d4ac18-3412-4a34-a54d-246cbafd4fbb"},"type":"agent_progress","prompt":"","agentId":"a94d541086ef2e733"},"toolUseID":"agent_msg_01KkzdazjB6DcKN6KmbtGTKq","parentToolUseID":"toolu_018fSdSLwvUuC9yLt4j7CLXd","uuid":"c4f70f79-2c89-4896-bfc1-fef8c4025aed","timestamp":"2026-03-20T06:15:04.046Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"c4f70f79-2c89-4896-bfc1-fef8c4025aed","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Dqebt2zrEtymhw8XZp42NK","type":"tool_result","content":"commit 0069c86e81fa407eb3573ff557ac5f127e17bd66\nAuthor: Jan Eitzinger <jan@moebiusband.org>\nDate:   Fri Mar 20 05:34:12 2026 +0100\n\n    Replace explicit resampling config with policy based approach\n    \n    Entire-Checkpoint: f69e38210bb1\n\n internal/config/config.go                          |   2 +\n internal/graph/resample.go                         | 113 +++++++++++++++++++++\n internal/graph/schema.resolvers.go                 |  39 +++----\n internal/metricdispatch/resamplepolicy.go          |  49 +++++++++\n internal/metricdispatch/resamplepolicy_test.go     |  68 +++++++++++++\n internal/routerConfig/routes.go                    |  34 ++++++-\n .../src/config/user/PlotRenderOptions.svelte       |  92 +++++++++++++++++\n web/frontend/src/generic/plots/MetricPlot.svelte   |  30 +++---\n web/web.go                                         |   4 +\n 9 files changed, 400 insertions(+), 31 deletions(-)","is_error":false}]},"uuid":"af09d744-ce75-4688-8619-fab45b7b891e","timestamp":"2026-03-20T06:19:44.967Z"},"type":"agent_progress","prompt":"","agentId":"a94d541086ef2e733"},"toolUseID":"agent_msg_01KkzdazjB6DcKN6KmbtGTKq","parentToolUseID":"toolu_018fSdSLwvUuC9yLt4j7CLXd","uuid":"c206e572-b154-496d-8358-b2e2231d3a61","timestamp":"2026-03-20T06:19:44.968Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"c206e572-b154-496d-8358-b2e2231d3a61","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-20T06:19:46.347Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01N3w1dbxHD6j8WpZTK9KDxf","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Cg2nbGukpWrfLxyVSf3ASr","name":"Bash","input":{"command":"cd /Users/jan/prg/ClusterCockpit/cc-backend && git show 0069c86e"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":734,"cache_read_input_tokens":17960,"cache_creation":{"ephemeral_5m_input_tokens":734,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZDr7AB7zKHtZu96WBN2y","uuid":"7260a528-6796-4d9f-8906-0d47f8c64f5a"},"type":"agent_progress","prompt":"","agentId":"a94d541086ef2e733"},"toolUseID":"agent_msg_01KkzdazjB6DcKN6KmbtGTKq","parentToolUseID":"toolu_018fSdSLwvUuC9yLt4j7CLXd","uuid":"12c110fc-c172-43d8-817d-f75fe7615d78","timestamp":"2026-03-20T06:19:46.348Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"12c110fc-c172-43d8-817d-f75fe7615d78","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Cg2nbGukpWrfLxyVSf3ASr","type":"tool_result","content":"commit 0069c86e81fa407eb3573ff557ac5f127e17bd66\nAuthor: Jan Eitzinger <jan@moebiusband.org>\nDate:   Fri Mar 20 05:34:12 2026 +0100\n\n    Replace explicit resampling config with policy based approach\n    \n    Entire-Checkpoint: f69e38210bb1\n\ninternal/config/config.go\n  @@ -112,6 +112,8 @@\n  +\t// Policy-derived target point count (set dynamically from user preference, not from config.json)\n  +\tTargetPoints int `json:\"targetPoints,omitempty\"`\n   }\n   \n   type NATSConfig struct {\n  +2 -0\n\ninternal/graph/resample.go\n  @@ -0,0 +1,113 @@\n  +// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n  +// All rights reserved. This file is part of cc-backend.\n  +// Use of this source code is governed by a MIT-style\n  +// license that can be found in the LICENSE file.\n  +package graph\n  +\n  +import (\n  +\t\"context\"\n  +\t\"strings\"\n  +\n  ... (truncated)\n  +113 -0\n\ninternal/graph/schema.resolvers.go\n  @@ -499,26 +499,27 @@\n  -\tif resolution == nil { // Load from Config\n  +\tjob, err := r.Query().Job(ctx, id)\n  +\tif err != nil {\n  +\t\tcclog.Warn(\"Error while querying job for metrics\")\n  +\t\treturn nil, err\n  +\t}\n  +\n  +\t// Resolve resolution: explicit param > user policy > global config > 0\n  +\tif resolution == nil {\n  +\t\tresolution = resolveResolutionFromPolicy(ctx, int64(job.Duration), job.Cluster, metrics)\n  ... (truncated)\n  @@ -878,11 +879,16 @@\n  -\tif resolution == nil { // Load from Config\n  +\t// Resolve resolution: explicit param > user policy > global config > 0\n  +\tduration := int64(to.Sub(from).Seconds())\n  +\tif resolution == nil {\n  +\t\tresolution = resolveResolutionFromPolicy(ctx, duration, cluster, metrics)\n  +\t}\n  +\tif resolution == nil {\n   \t\tif config.Keys.EnableResampling != nil {\n   \t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n   \t\t\tresolution = &defaultRes\n  ... (truncated)\n  @@ -906,10 +912,7 @@\n  -\talgoName := \"\"\n  -\tif resampleAlgo != nil {\n  -\t\talgoName = strings.ToLower(resampleAlgo.String())\n  -\t}\n  +\talgoName := resolveResampleAlgo(ctx, resampleAlgo)\n   \n   \t// data -> map hostname:jobdata\n   \tdata, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx, algoName)\n  +21 -18\n\ninternal/metricdispatch/resamplepolicy.go\n  @@ -0,0 +1,49 @@\n  +// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n  +// All rights reserved. This file is part of cc-backend.\n  +// Use of this source code is governed by a MIT-style\n  +// license that can be found in the LICENSE file.\n  +package metricdispatch\n  +\n  +import \"math\"\n  +\n  +type ResamplePolicy string\n  +\n  ... (truncated)\n  +49 -0\n\ninternal/metricdispatch/resamplepolicy_test.go\n  @@ -0,0 +1,68 @@\n  +// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n  +// All rights reserved. This file is part of cc-backend.\n  +// Use of this source code is governed by a MIT-style\n  +// license that can be found in the LICENSE file.\n  +package metricdispatch\n  +\n  +import \"testing\"\n  +\n  +func TestTargetPointsForPolicy(t *testing.T) {\n  +\ttests := []struct {\n  ... (truncated)\n  +68 -0\n\ninternal/routerConfig/routes.go\n  @@ -15,6 +15,7 @@\n  +\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n   \t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n   \t\"github.com/ClusterCockpit/cc-backend/web\"\n   \tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n  @@ -493,13 +494,15 @@\n  +\t\t\tresampling := resamplingForUser(conf)\n  +\n   \t\t\tpage := web.Page{\n   \t\t\t\tTitle:      title,\n   \t\t\t\tUser:       *user,\n   \t\t\t\tRoles:      availableRoles,\n   \t\t\t\tBuild:      buildInfo,\n   \t\t\t\tConfig:     conf,\n  -\t\t\t\tResampling: config.Keys.EnableResampling,\n  +\t\t\t\tResampling: resampling,\n  @@ -586,3 +589,32 @@\n  +\n  +// resamplingForUser returns a ResampleConfig that incorporates the user's\n  +// resample policy preference. If the user has a policy set, it creates a\n  +// policy-derived config with targetPoints and trigger. Otherwise falls back\n  +// to the global config.\n  +func resamplingForUser(conf map[string]any) *config.ResampleConfig {\n  +\tglobalCfg := config.Keys.EnableResampling\n  +\n  +\tpolicyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]\n  +\tif !ok {\n  ... (truncated)\n  +33 -1\n\nweb/frontend/src/config/user/PlotRenderOptions.svelte\n  @@ -16,6 +16,7 @@\n  +  import { getContext } from \"svelte\";\n     import { fade } from \"svelte/transition\";\n   \n     /* Svelte 5 Props */\n  @@ -25,6 +26,9 @@\n  +\n  +  const resampleConfig = getContext(\"resampling\");\n  +  const resamplingEnabled = !!resampleConfig;\n   </script>\n   \n   <Row cols={3} class=\"p-2 g-2\">\n  @@ -219,4 +223,92 @@\n  +\n  +  {#if resamplingEnabled}\n  +  <!-- RESAMPLE POLICY -->\n  +  <Col>\n  +    <Card class=\"h-100\">\n  +      <form\n  +        id=\"resample-policy-form\"\n  +        method=\"post\"\n  +        action=\"/frontend/configuration/\"\n  +        class=\"card-body\"\n  ... (truncated)\n  +92 -0\n\nweb/frontend/src/generic/plots/MetricPlot.svelte\n  @@ -73,9 +73,10 @@\n  -  const resampleTrigger = $derived(resampleConfig?.trigger ? Number(resampleConfig.trigger) : null);\n  +  const resampleTrigger = $derived(resampleConfig?.trigger ? Number(resampleConfig.trigger) : (resampleConfig?.targetPoints ? Math.floor(resampleConfig.targetPoints / 4) : null));\n     const resampleResolutions = $derived(resampleConfig?.resolutions ? [...resampleConfig.resolutions] : null);\n     const resampleMinimum = $derived(resampleConfig?.resolutions ? Math.min(...resampleConfig.resolutions) : null);\n  +  const resampleTargetPoints = $derived(resampleConfig?.targetPoints ? Number(resampleConfig.targetPoints) : null);\n     const useStatsSeries = $derived(!!statisticsSeries); // Display Stats Series By Default if Exists\n     const thresholds = $derived(findJobAggregationThresholds(\n       subClusterTopology,\n  @@ -515,24 +516,29 @@\n  -                /* Get closest zoom level; prevents multiple iterative zoom requests for big zoom-steps (e.g. 600 -> 300 -> 120 -> 60) */\n  -                // Which resolution to theoretically request to achieve 30 or more visible data points:\n  -                const target = (numX * timestep) / resampleTrigger\n  -                // Which configured resolution actually matches the closest to theoretical target:\n  -                const closest = resampleResolutions.reduce(function(prev, curr) {\n  -                  return (Math.abs(curr - target) < Math.abs(prev - target) ? curr : prev);\n  -                });\n  +                let newRes;\n  +                if (resampleTargetPoints && !resampleResolutions) {\n  +                  // Policy-based: compute resolution dynamically from visible window\n  ... (truncated)\n  +18 -12\n\nweb/web.go\n  @@ -72,6 +72,8 @@\n  +\tResampleAlgo    string   `json:\"resample-algo\"`\n  +\tResamplePolicy  string   `json:\"resample-policy\"`\n   }\n   \n   var UIDefaults = WebConfig{\n  @@ -144,6 +146,8 @@\n  +\tUIDefaultsMap[\"plotConfiguration_resampleAlgo\"] = UIDefaults.PlotConfiguration.ResampleAlgo\n  +\tUIDefaultsMap[\"plotConfiguration_resamplePolicy\"] = UIDefaults.PlotConfiguration.ResamplePolicy\n   \n   \tfor _, c := range UIDefaults.MetricConfig.Clusters {\n   \t\tif c.JobListMetrics != nil {\n  +4 -0","is_error":false}]},"uuid":"44627efd-c6bf-4067-aea6-485e867fc40f","timestamp":"2026-03-20T06:19:47.706Z"},"type":"agent_progress","prompt":"","agentId":"a94d541086ef2e733"},"toolUseID":"agent_msg_01KkzdazjB6DcKN6KmbtGTKq","parentToolUseID":"toolu_018fSdSLwvUuC9yLt4j7CLXd","uuid":"919f9688-3b54-4f0b-a600-2b13275da1c8","timestamp":"2026-03-20T06:19:47.707Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"919f9688-3b54-4f0b-a600-2b13275da1c8","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-20T06:19:49.172Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_018X1j9sykimoWcLQi9bQ7St","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RRdjU9Mm6Scg6V89B3P2A8","name":"Bash","input":{"command":"cd /Users/jan/prg/ClusterCockpit/cc-backend && git show c0d2d65f"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":2631,"cache_read_input_tokens":18694,"cache_creation":{"ephemeral_5m_input_tokens":2631,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZDr7MiubFbreLgGSvCHf","uuid":"51c89a82-8f5e-42de-996a-a991b5507933"},"type":"agent_progress","prompt":"","agentId":"a94d541086ef2e733"},"toolUseID":"agent_msg_01KkzdazjB6DcKN6KmbtGTKq","parentToolUseID":"toolu_018fSdSLwvUuC9yLt4j7CLXd","uuid":"6298e857-700f-4eb3-be75-742ea5a6f4fa","timestamp":"2026-03-20T06:19:49.172Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"6298e857-700f-4eb3-be75-742ea5a6f4fa","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RRdjU9Mm6Scg6V89B3P2A8","type":"tool_result","content":"<persisted-output>\nOutput too large (44.8KB). Full output saved to: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/f8d732b5-ee26-4579-bdeb-237fa0cb9261/tool-results/b8xdra4vi.txt\n\nPreview (first 2KB):\ncommit c0d2d65f9636fe229ab1ca9a023d6b8076352dd4\nAuthor: Jan Eitzinger <jan@moebiusband.org>\nDate:   Thu Mar 19 21:16:48 2026 +0100\n\n    Introduce average resampler support\n    \n    Fixes #526\n    \n    Entire-Checkpoint: 893a1de325b5\n\ndiff --git a/api/schema.graphqls b/api/schema.graphqls\nindex cf8f5273..8981c859 100644\n--- a/api/schema.graphqls\n+++ b/api/schema.graphqls\n@@ -250,6 +250,12 @@ type TimeWeights {\n   coreHours: [NullableFloat!]!\n }\n \n+enum ResampleAlgo {\n+  LTTB\n+  AVERAGE\n+  SIMPLE\n+}\n+\n enum Aggregate {\n   USER\n   PROJECT\n@@ -340,6 +346,7 @@ type Query {\n     metrics: [String!]\n     scopes: [MetricScope!]\n     resolution: Int\n+    resampleAlgo: ResampleAlgo\n   ): [JobMetricWithName!]!\n \n   jobStats(id: ID!, metrics: [String!]): [NamedStats!]!\n@@ -399,6 +406,7 @@ type Query {\n     to: Time!\n     page: PageRequest\n     resolution: Int\n+    resampleAlgo: ResampleAlgo\n   ): NodesResultList!\n \n   clusterMetrics(\ndiff --git a/go.mod b/go.mod\nindex 1e3b7bf1..f830a366 100644\n--- a/go.mod\n+++ b/go.mod\n@@ -7,28 +7,30 @@ tool (\n \tgithub.com/swaggo/swag/cmd/swag\n )\n \n+replace github.com/ClusterCockpit/cc-lib/v2 => ../../prg/CC/cc-lib\n+\n require (\n \tgithub.com/99designs/gqlgen v0.17.88\n-\tgithub.com/ClusterCockpit/cc-lib/v2 v2.9.1\n+\tgithub.com/ClusterCockpit/cc-lib/v2 v2.10.0\n \tgithub.com/ClusterCockpit/cc-line-protocol/v2 v2.4.0\n \tgithub.com/Masterminds/squirrel v1.5.4\n-\tgithub.com/aws/aws-sdk-go-v2 v1.41.3\n-\tgithub.com/aws/aws-sdk-go-v2/config v1.32.11\n-\tgithub.com/aws/aws-sdk-go-v2/credentials v1.19.11\n-\tgithub.com/aws/aws-sdk-go-v2/service/s3 v1.97.0\n+\tgithub.com/aws/aws-sdk-go-v2 v1.41.4\n+\tgithub.com/aws/aws-sdk-go-v2/config v1.32.12\n+\tgithub.com/aws/aws-sdk-go-v2/credentials v1.19.12\n+\tgithub.com/aws/aws-sdk-go-v2/service/s3 v1.97.1\n \tgithub.com/coreos/go-oidc/v3 v3.17.0\n \tgithub.com/expr-lang/expr v1.17.8\n \tgithub.com/go-chi/chi/v5 v5.2.5\n \tgithub.com/go-chi/cors v1.2.2\n \tgithub.com/go-co-op/gocron/v2 v2.19.1\n-\tgithub.com/go-ldap/ldap/v3 v3.4.12\n...\n</persisted-output>","is_error":false}]},"uuid":"d22e6e48-91eb-4166-a9b5-e4a42aae9d23","timestamp":"2026-03-20T06:19:51.608Z"},"type":"agent_progress","prompt":"","agentId":"a94d541086ef2e733"},"toolUseID":"agent_msg_01KkzdazjB6DcKN6KmbtGTKq","parentToolUseID":"toolu_018fSdSLwvUuC9yLt4j7CLXd","uuid":"baf26705-07cf-4259-9ca7-fd93bc4c142d","timestamp":"2026-03-20T06:19:51.608Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"baf26705-07cf-4259-9ca7-fd93bc4c142d","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-20T06:19:53.116Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_017NYqkGHErjTDSdsR1gfbAo","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Gu1TC5UZxT5g6r9nDz9tFY","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go","limit":200},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1220,"cache_read_input_tokens":21325,"cache_creation":{"ephemeral_5m_input_tokens":1220,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZDr7eJYvkaNd8RF8hEXb","uuid":"e5cd74bd-d673-4661-a67c-1a8d957c9c94"},"type":"agent_progress","prompt":"","agentId":"a94d541086ef2e733"},"toolUseID":"agent_msg_01KkzdazjB6DcKN6KmbtGTKq","parentToolUseID":"toolu_018fSdSLwvUuC9yLt4j7CLXd","uuid":"4f275a01-e593-4510-a9fa-62d9f97a4b31","timestamp":"2026-03-20T06:19:53.116Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"4f275a01-e593-4510-a9fa-62d9f97a4b31","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Gu1TC5UZxT5g6r9nDz9tFY","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package config implements the program configuration data structures, validation and parsing\n     7→package config\n     8→\n     9→import (\n    10→\t\"bytes\"\n    11→\t\"encoding/json\"\n    12→\t\"time\"\n    13→\n    14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    15→\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n    16→)\n    17→\n    18→type ProgramConfig struct {\n    19→\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n    20→\tAddr string `json:\"addr\"`\n    21→\n    22→\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n    23→\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n    24→\n    25→\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n    26→\n    27→\t// Drop root permissions once .env was read and the port was taken.\n    28→\tUser  string `json:\"user\"`\n    29→\tGroup string `json:\"group\"`\n    30→\n    31→\t// Disable authentication (for everything: API, Web-UI, ...)\n    32→\tDisableAuthentication bool `json:\"disable-authentication\"`\n    33→\n    34→\t// If `embed-static-files` is true (default), the frontend files are directly\n    35→\t// embeded into the go binary and expected to be in web/frontend. Only if\n    36→\t// it is false the files in `static-files` are served instead.\n    37→\tEmbedStaticFiles bool   `json:\"embed-static-files\"`\n    38→\tStaticFiles      string `json:\"static-files\"`\n    39→\n    40→\t// Path to SQLite database file\n    41→\tDB string `json:\"db\"`\n    42→\n    43→\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n    44→\n    45→\t// Validate json input against schema\n    46→\tValidate bool `json:\"validate\"`\n    47→\n    48→\t// If 0 or empty, the session does not expire!\n    49→\tSessionMaxAge string `json:\"session-max-age\"`\n    50→\n    51→\t// If both those options are not empty, use HTTPS using those certificates.\n    52→\tHTTPSCertFile string `json:\"https-cert-file\"`\n    53→\tHTTPSKeyFile  string `json:\"https-key-file\"`\n    54→\n    55→\t// If not the empty string and `addr` does not end in \":80\",\n    56→\t// redirect every request incoming at port 80 to that url.\n    57→\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n    58→\n    59→\t// Where to store MachineState files\n    60→\tMachineStateDir string `json:\"machine-state-dir\"`\n    61→\n    62→\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n    63→\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n    64→\n    65→\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n    66→\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n    67→\n    68→\t// Energy Mix CO2 Emission Constant [g/kWh]\n    69→\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n    70→\tEmissionConstant int `json:\"emission-constant\"`\n    71→\n    72→\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n    73→\tEnableResampling *ResampleConfig `json:\"resampling\"`\n    74→\n    75→\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n    76→\tSystemdUnit string `json:\"systemd-unit\"`\n    77→\n    78→\t// Node state retention configuration\n    79→\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n    80→\n    81→\t// Database tuning configuration\n    82→\tDbConfig *DbConfig `json:\"db-config\"`\n    83→}\n    84→\n    85→type DbConfig struct {\n    86→\tCacheSizeMB               int `json:\"cache-size-mb\"`\n    87→\tSoftHeapLimitMB           int `json:\"soft-heap-limit-mb\"`\n    88→\tMaxOpenConnections        int `json:\"max-open-connections\"`\n    89→\tMaxIdleConnections        int `json:\"max-idle-connections\"`\n    90→\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n    91→\tBusyTimeoutMs             int `json:\"busy-timeout-ms\"`\n    92→}\n    93→\n    94→type NodeStateRetention struct {\n    95→\tPolicy             string `json:\"policy\"`      // \"delete\" or \"move\"\n    96→\tAge                int    `json:\"age\"`         // hours, default 24\n    97→\tTargetKind         string `json:\"target-kind\"` // \"file\" or \"s3\"\n    98→\tTargetPath         string `json:\"target-path\"`\n    99→\tTargetEndpoint     string `json:\"target-endpoint\"`\n   100→\tTargetBucket       string `json:\"target-bucket\"`\n   101→\tTargetAccessKey    string `json:\"target-access-key\"`\n   102→\tTargetSecretKey    string `json:\"target-secret-key\"`\n   103→\tTargetRegion       string `json:\"target-region\"`\n   104→\tTargetUsePathStyle bool   `json:\"target-use-path-style\"`\n   105→\tMaxFileSizeMB      int    `json:\"max-file-size-mb\"`\n   106→}\n   107→\n   108→type ResampleConfig struct {\n   109→\t// Minimum number of points to trigger resampling of data\n   110→\tMinimumPoints int `json:\"minimum-points\"`\n   111→\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n   112→\tResolutions []int `json:\"resolutions\"`\n   113→\t// Trigger next zoom level at less than this many visible datapoints\n   114→\tTrigger int `json:\"trigger\"`\n   115→\t// Policy-derived target point count (set dynamically from user preference, not from config.json)\n   116→\tTargetPoints int `json:\"targetPoints,omitempty\"`\n   117→}\n   118→\n   119→type NATSConfig struct {\n   120→\tSubjectJobEvent  string `json:\"subject-job-event\"`\n   121→\tSubjectNodeState string `json:\"subject-node-state\"`\n   122→\tJobConcurrency   int    `json:\"job-concurrency\"`\n   123→\tNodeConcurrency  int    `json:\"node-concurrency\"`\n   124→}\n   125→\n   126→type IntRange struct {\n   127→\tFrom int `json:\"from\"`\n   128→\tTo   int `json:\"to\"`\n   129→}\n   130→\n   131→type TimeRange struct {\n   132→\tFrom  *time.Time `json:\"from\"`\n   133→\tTo    *time.Time `json:\"to\"`\n   134→\tRange string     `json:\"range,omitempty\"`\n   135→}\n   136→\n   137→type FilterRanges struct {\n   138→\tDuration  *IntRange  `json:\"duration\"`\n   139→\tNumNodes  *IntRange  `json:\"num-nodes\"`\n   140→\tStartTime *TimeRange `json:\"start-time\"`\n   141→}\n   142→\n   143→var Keys ProgramConfig = ProgramConfig{\n   144→\tAddr:                      \"localhost:8080\",\n   145→\tEmbedStaticFiles:          true,\n   146→\tDB:                        \"./var/job.db\",\n   147→\tSessionMaxAge:             \"168h\",\n   148→\tStopJobsExceedingWalltime: 0,\n   149→\tShortRunningJobsDuration:  5 * 60,\n   150→}\n   151→\n   152→func Init(mainConfig json.RawMessage) {\n   153→\tValidate(configSchema, mainConfig)\n   154→\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n   155→\tdec.DisallowUnknownFields()\n   156→\tif err := dec.Decode(&Keys); err != nil {\n   157→\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n   158→\t}\n   159→\n   160→\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n   161→\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n   162→\t}\n   163→}\n   164→"}]},"uuid":"6aa49703-3c02-4c3f-9087-bb6bd48d1741","timestamp":"2026-03-20T06:19:53.125Z"},"type":"agent_progress","prompt":"","agentId":"a94d541086ef2e733"},"toolUseID":"agent_msg_01KkzdazjB6DcKN6KmbtGTKq","parentToolUseID":"toolu_018fSdSLwvUuC9yLt4j7CLXd","uuid":"bbc98e97-3cbf-43e2-8ff7-55f45784af39","timestamp":"2026-03-20T06:19:53.126Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"0d086932-2f0a-48c6-aa4f-5fd7d086b7b4","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BefZA9uMNXnN9cUsQpEXvk","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package metricdispatch\n     6→\n     7→import \"math\"\n     8→\n     9→type ResamplePolicy string\n    10→\n    11→const (\n    12→\tResamplePolicyLow    ResamplePolicy = \"low\"\n    13→\tResamplePolicyMedium ResamplePolicy = \"medium\"\n    14→\tResamplePolicyHigh   ResamplePolicy = \"high\"\n    15→)\n    16→\n    17→// TargetPointsForPolicy returns the target number of data points for a given policy.\n    18→func TargetPointsForPolicy(policy ResamplePolicy) int {\n    19→\tswitch policy {\n    20→\tcase ResamplePolicyLow:\n    21→\t\treturn 200\n    22→\tcase ResamplePolicyMedium:\n    23→\t\treturn 500\n    24→\tcase ResamplePolicyHigh:\n    25→\t\treturn 1000\n    26→\tdefault:\n    27→\t\treturn 0\n    28→\t}\n    29→}\n    30→\n    31→// ComputeResolution computes the resampling resolution in seconds for a given\n    32→// job duration, metric frequency, and target point count. Returns 0 if the\n    33→// total number of data points is already at or below targetPoints (no resampling needed).\n    34→func ComputeResolution(duration int64, frequency int64, targetPoints int) int {\n    35→\tif frequency <= 0 || targetPoints <= 0 || duration <= 0 {\n    36→\t\treturn 0\n    37→\t}\n    38→\n    39→\ttotalPoints := duration / frequency\n    40→\tif totalPoints <= int64(targetPoints) {\n    41→\t\treturn 0\n    42→\t}\n    43→\n    44→\ttargetRes := math.Ceil(float64(duration) / float64(targetPoints))\n    45→\t// Round up to nearest multiple of frequency\n    46→\tresolution := int(math.Ceil(targetRes/float64(frequency))) * int(frequency)\n    47→\n    48→\treturn resolution\n    49→}\n    50→"}]},"uuid":"08a4e964-5ed4-4e1c-80aa-8cd615b9afeb","timestamp":"2026-03-20T06:19:54.732Z"},"type":"agent_progress","prompt":"","agentId":"a94d541086ef2e733"},"toolUseID":"agent_msg_01KkzdazjB6DcKN6KmbtGTKq","parentToolUseID":"toolu_018fSdSLwvUuC9yLt4j7CLXd","uuid":"5915d771-f1c5-4204-879e-15881ad98a2a","timestamp":"2026-03-20T06:19:54.733Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"ba093f5b-fb14-4bd7-8521-b1a00d444845","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CXaE68xoxtF3w4KuGNPyuD","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package metricdispatch\n     6→\n     7→import \"testing\"\n     8→\n     9→func TestTargetPointsForPolicy(t *testing.T) {\n    10→\ttests := []struct {\n    11→\t\tpolicy ResamplePolicy\n    12→\t\twant   int\n    13→\t}{\n    14→\t\t{ResamplePolicyLow, 200},\n    15→\t\t{ResamplePolicyMedium, 500},\n    16→\t\t{ResamplePolicyHigh, 1000},\n    17→\t\t{ResamplePolicy(\"unknown\"), 0},\n    18→\t\t{ResamplePolicy(\"\"), 0},\n    19→\t}\n    20→\n    21→\tfor _, tt := range tests {\n    22→\t\tif got := TargetPointsForPolicy(tt.policy); got != tt.want {\n    23→\t\t\tt.Errorf(\"TargetPointsForPolicy(%q) = %d, want %d\", tt.policy, got, tt.want)\n    24→\t\t}\n    25→\t}\n    26→}\n    27→\n    28→func TestComputeResolution(t *testing.T) {\n    29→\ttests := []struct {\n    30→\t\tname         string\n    31→\t\tduration     int64\n    32→\t\tfrequency    int64\n    33→\t\ttargetPoints int\n    34→\t\twant         int\n    35→\t}{\n    36→\t\t// 24h job, 60s frequency, 1440 total points\n    37→\t\t{\"low_24h_60s\", 86400, 60, 200, 480},\n    38→\t\t{\"medium_24h_60s\", 86400, 60, 500, 180},\n    39→\t\t{\"high_24h_60s\", 86400, 60, 1000, 120},\n    40→\n    41→\t\t// 2h job, 60s frequency, 120 total points — no resampling needed\n    42→\t\t{\"low_2h_60s\", 7200, 60, 200, 0},\n    43→\t\t{\"medium_2h_60s\", 7200, 60, 500, 0},\n    44→\t\t{\"high_2h_60s\", 7200, 60, 1000, 0},\n    45→\n    46→\t\t// Edge: zero/negative inputs\n    47→\t\t{\"zero_duration\", 0, 60, 200, 0},\n    48→\t\t{\"zero_frequency\", 86400, 0, 200, 0},\n    49→\t\t{\"zero_target\", 86400, 60, 0, 0},\n    50→\t\t{\"negative_duration\", -100, 60, 200, 0},\n    51→\n    52→\t\t// 12h job, 30s frequency, 1440 total points\n    53→\t\t{\"medium_12h_30s\", 43200, 30, 500, 90},\n    54→\n    55→\t\t// Exact fit: total points == target points\n    56→\t\t{\"exact_fit\", 12000, 60, 200, 0},\n    57→\t}\n    58→\n    59→\tfor _, tt := range tests {\n    60→\t\tt.Run(tt.name, func(t *testing.T) {\n    61→\t\t\tgot := ComputeResolution(tt.duration, tt.frequency, tt.targetPoints)\n    62→\t\t\tif got != tt.want {\n    63→\t\t\t\tt.Errorf(\"ComputeResolution(%d, %d, %d) = %d, want %d\",\n    64→\t\t\t\t\ttt.duration, tt.frequency, tt.targetPoints, got, tt.want)\n    65→\t\t\t}\n    66→\t\t})\n    67→\t}\n    68→}\n    69→"}]},"uuid":"a2a767b2-fff1-4414-a916-c5101107cf21","timestamp":"2026-03-20T06:19:56.357Z"},"type":"agent_progress","prompt":"","agentId":"a94d541086ef2e733"},"toolUseID":"agent_msg_01KkzdazjB6DcKN6KmbtGTKq","parentToolUseID":"toolu_018fSdSLwvUuC9yLt4j7CLXd","uuid":"d577361c-0c13-425a-9731-ecdde27a57b6","timestamp":"2026-03-20T06:19:56.372Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"c5bef67a-f2b8-4580-a87f-b5b57a3ea193","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FpajfYxRCXDbojmaiiKKaG","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package graph\n     6→\n     7→import (\n     8→\t\"context\"\n     9→\t\"strings\"\n    10→\n    11→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    12→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    13→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    14→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    15→)\n    16→\n    17→// resolveResolutionFromPolicy reads the user's resample policy preference and\n    18→// computes a resolution based on job duration and metric frequency. Returns nil\n    19→// if the user has no policy set.\n    20→func resolveResolutionFromPolicy(ctx context.Context, duration int64, cluster string, metrics []string) *int {\n    21→\tuser := repository.GetUserFromContext(ctx)\n    22→\tif user == nil {\n    23→\t\treturn nil\n    24→\t}\n    25→\n    26→\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n    27→\tif err != nil {\n    28→\t\treturn nil\n    29→\t}\n    30→\n    31→\tpolicyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]\n    32→\tif !ok {\n    33→\t\treturn nil\n    34→\t}\n    35→\tpolicyStr, ok := policyVal.(string)\n    36→\tif !ok || policyStr == \"\" {\n    37→\t\treturn nil\n    38→\t}\n    39→\n    40→\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n    41→\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n    42→\tif targetPoints == 0 {\n    43→\t\treturn nil\n    44→\t}\n    45→\n    46→\t// Find the smallest metric frequency across the requested metrics\n    47→\tfrequency := smallestFrequency(cluster, metrics)\n    48→\tif frequency <= 0 {\n    49→\t\treturn nil\n    50→\t}\n    51→\n    52→\tres := metricdispatch.ComputeResolution(duration, int64(frequency), targetPoints)\n    53→\treturn &res\n    54→}\n    55→\n    56→// resolveResampleAlgo returns the resampling algorithm name to use, checking\n    57→// the explicit GraphQL parameter first, then the user's preference.\n    58→func resolveResampleAlgo(ctx context.Context, resampleAlgo *model.ResampleAlgo) string {\n    59→\tif resampleAlgo != nil {\n    60→\t\treturn strings.ToLower(resampleAlgo.String())\n    61→\t}\n    62→\n    63→\tuser := repository.GetUserFromContext(ctx)\n    64→\tif user == nil {\n    65→\t\treturn \"\"\n    66→\t}\n    67→\n    68→\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n    69→\tif err != nil {\n    70→\t\treturn \"\"\n    71→\t}\n    72→\n    73→\talgoVal, ok := conf[\"plotConfiguration_resampleAlgo\"]\n    74→\tif !ok {\n    75→\t\treturn \"\"\n    76→\t}\n    77→\talgoStr, ok := algoVal.(string)\n    78→\tif !ok {\n    79→\t\treturn \"\"\n    80→\t}\n    81→\n    82→\treturn algoStr\n    83→}\n    84→\n    85→// smallestFrequency returns the smallest metric timestep (in seconds) among the\n    86→// requested metrics for the given cluster. Falls back to 0 if nothing is found.\n    87→func smallestFrequency(cluster string, metrics []string) int {\n    88→\tcl := archive.GetCluster(cluster)\n    89→\tif cl == nil {\n    90→\t\treturn 0\n    91→\t}\n    92→\n    93→\tminFreq := 0\n    94→\tfor _, mc := range cl.MetricConfig {\n    95→\t\tif len(metrics) > 0 {\n    96→\t\t\tfound := false\n    97→\t\t\tfor _, m := range metrics {\n    98→\t\t\t\tif mc.Name == m {\n    99→\t\t\t\t\tfound = true\n   100→\t\t\t\t\tbreak\n   101→\t\t\t\t}\n   102→\t\t\t}\n   103→\t\t\tif !found {\n   104→\t\t\t\tcontinue\n   105→\t\t\t}\n   106→\t\t}\n   107→\t\tif minFreq == 0 || mc.Timestep < minFreq {\n   108→\t\t\tminFreq = mc.Timestep\n   109→\t\t}\n   110→\t}\n   111→\n   112→\treturn minFreq\n   113→}\n   114→"}]},"uuid":"956d4988-29d6-423d-9e73-de742cebad2e","timestamp":"2026-03-20T06:19:57.788Z"},"type":"agent_progress","prompt":"","agentId":"a94d541086ef2e733"},"toolUseID":"agent_msg_01KkzdazjB6DcKN6KmbtGTKq","parentToolUseID":"toolu_018fSdSLwvUuC9yLt4j7CLXd","uuid":"0d2bbb5e-c25d-438c-9f64-48fd9d464555","timestamp":"2026-03-20T06:19:57.825Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"ab335094-51db-4abe-a229-5fa619c7947e","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HL24hoP7KMBnUmEFk9SWz7","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package routerConfig\n     6→\n     7→import (\n     8→\t\"fmt\"\n     9→\t\"net/http\"\n    10→\t\"net/url\"\n    11→\t\"os\"\n    12→\t\"strconv\"\n    13→\t\"strings\"\n    14→\t\"time\"\n    15→\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    19→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    20→\t\"github.com/ClusterCockpit/cc-backend/web\"\n    21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    23→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n    24→\t\"github.com/go-chi/chi/v5\"\n    25→)\n    26→\n    27→type InfoType map[string]any\n    28→\n    29→type Route struct {\n    30→\tRoute    string\n    31→\tTemplate string\n    32→\tTitle    string\n    33→\tFilter   bool\n    34→\tSetup    func(i InfoType, r *http.Request) InfoType\n    35→}\n    36→\n    37→var routes []Route = []Route{\n    38→\t{\"/\", \"home.tmpl\", \"ClusterCockpit\", false, setupHomeRoute},\n    39→\t{\"/config\", \"config.tmpl\", \"Settings\", false, setupConfigRoute},\n    40→\t{\"/monitoring/jobs/\", \"monitoring/jobs.tmpl\", \"Jobs - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { return i }},\n    41→\t{\"/monitoring/job/{id:[0-9]+}\", \"monitoring/job.tmpl\", \"Job <ID> - ClusterCockpit\", false, setupJobRoute},\n    42→\t{\"/monitoring/users/\", \"monitoring/list.tmpl\", \"Users - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { i[\"listType\"] = \"USER\"; return i }},\n    43→\t{\"/monitoring/projects/\", \"monitoring/list.tmpl\", \"Projects - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { i[\"listType\"] = \"PROJECT\"; return i }},\n    44→\t{\"/monitoring/tags/\", \"monitoring/taglist.tmpl\", \"Tags - ClusterCockpit\", false, setupTaglistRoute},\n    45→\t{\"/monitoring/user/{id}\", \"monitoring/user.tmpl\", \"User <ID> - ClusterCockpit\", true, setupUserRoute},\n    46→\t{\"/monitoring/systems/{cluster}\", \"monitoring/systems.tmpl\", \"Cluster <ID> Node Overview - ClusterCockpit\", false, setupClusterOverviewRoute},\n    47→\t{\"/monitoring/systems/list/{cluster}\", \"monitoring/systems.tmpl\", \"Cluster <ID> Node List - ClusterCockpit\", false, setupClusterListRoute},\n    48→\t{\"/monitoring/systems/list/{cluster}/{subcluster}\", \"monitoring/systems.tmpl\", \"Cluster <ID> <SID> Node List - ClusterCockpit\", false, setupClusterListRoute},\n    49→\t{\"/monitoring/node/{cluster}/{hostname}\", \"monitoring/node.tmpl\", \"Node <ID> - ClusterCockpit\", false, setupNodeRoute},\n    50→\t{\"/monitoring/analysis/{cluster}\", \"monitoring/analysis.tmpl\", \"Analysis - ClusterCockpit\", true, setupAnalysisRoute},\n    51→\t{\"/monitoring/status/{cluster}\", \"monitoring/status.tmpl\", \"<ID> Dashboard - ClusterCockpit\", false, setupClusterStatusRoute},\n    52→\t{\"/monitoring/status/detail/{cluster}\", \"monitoring/status.tmpl\", \"Status of <ID> - ClusterCockpit\", false, setupClusterDetailRoute},\n    53→\t{\"/monitoring/dashboard/{cluster}\", \"monitoring/dashboard.tmpl\", \"<ID> Dashboard - ClusterCockpit\", false, setupDashboardRoute},\n    54→\t{\"/monitoring/logs\", \"monitoring/logs.tmpl\", \"Logs - ClusterCockpit\", false, func(i InfoType, r *http.Request) InfoType { return i }},\n    55→}\n    56→\n    57→func setupHomeRoute(i InfoType, r *http.Request) InfoType {\n    58→\tjobRepo := repository.GetJobRepository()\n    59→\tgroupBy := model.AggregateCluster\n    60→\n    61→\t// startJobCount := time.Now()\n    62→\tstats, err := jobRepo.JobCountGrouped(r.Context(), nil, &groupBy)\n    63→\tif err != nil {\n    64→\t\tcclog.Warnf(\"failed to count jobs: %s\", err.Error())\n    65→\t}\n    66→\t// cclog.Infof(\"Timer HOME ROUTE startJobCount: %s\", time.Since(startJobCount))\n    67→\n    68→\t// startRunningJobCount := time.Now()\n    69→\tstats, err = jobRepo.AddJobCountGrouped(r.Context(), nil, &groupBy, stats, \"running\")\n    70→\tif err != nil {\n    71→\t\tcclog.Warnf(\"failed to count running jobs: %s\", err.Error())\n    72→\t}\n    73→\t// cclog.Infof(\"Timer HOME ROUTE startRunningJobCount: %s\", time.Since(startRunningJobCount))\n    74→\n    75→\ti[\"clusters\"] = stats\n    76→\n    77→\tif util.CheckFileExists(\"./var/notice.txt\") {\n    78→\t\tmsg, err := os.ReadFile(\"./var/notice.txt\")\n    79→\t\tif err != nil {\n    80→\t\t\tcclog.Warnf(\"failed to read notice.txt file: %s\", err.Error())\n    81→\t\t} else {\n    82→\t\t\ti[\"message\"] = string(msg)\n    83→\t\t}\n    84→\t}\n    85→\n    86→\treturn i\n    87→}\n    88→\n    89→func setupConfigRoute(i InfoType, r *http.Request) InfoType {\n    90→\tif util.CheckFileExists(\"./var/notice.txt\") {\n    91→\t\tmsg, err := os.ReadFile(\"./var/notice.txt\")\n    92→\t\tif err == nil {\n    93→\t\t\ti[\"ncontent\"] = string(msg)\n    94→\t\t}\n    95→\t}\n    96→\n    97→\treturn i\n    98→}\n    99→\n   100→func setupJobRoute(i InfoType, r *http.Request) InfoType {\n   101→\ti[\"id\"] = chi.URLParam(r, \"id\")\n   102→\tif config.Keys.EmissionConstant != 0 {\n   103→\t\ti[\"emission\"] = config.Keys.EmissionConstant\n   104→\t}\n   105→\treturn i\n   106→}\n   107→\n   108→func setupUserRoute(i InfoType, r *http.Request) InfoType {\n   109→\tusername := chi.URLParam(r, \"id\")\n   110→\ti[\"id\"] = username\n   111→\ti[\"username\"] = username\n   112→\t// TODO: If forbidden (== err exists), redirect to error page\n   113→\tif user, _ := repository.GetUserRepository().FetchUserInCtx(r.Context(), username); user != nil {\n   114→\t\ti[\"name\"] = user.Name\n   115→\t\ti[\"email\"] = user.Email\n   116→\t}\n   117→\treturn i\n   118→}\n   119→\n   120→func setupClusterStatusRoute(i InfoType, r *http.Request) InfoType {\n   121→\tcluster := chi.URLParam(r, \"cluster\")\n   122→\ti[\"id\"] = cluster\n   123→\ti[\"cluster\"] = cluster\n   124→\ti[\"displayType\"] = \"DASHBOARD\"\n   125→\treturn i\n   126→}\n   127→\n   128→func setupClusterDetailRoute(i InfoType, r *http.Request) InfoType {\n   129→\tcluster := chi.URLParam(r, \"cluster\")\n   130→\ti[\"id\"] = cluster\n   131→\ti[\"cluster\"] = cluster\n   132→\ti[\"displayType\"] = \"DETAILS\"\n   133→\treturn i\n   134→}\n   135→\n   136→func setupDashboardRoute(i InfoType, r *http.Request) InfoType {\n   137→\tcluster := chi.URLParam(r, \"cluster\")\n   138→\ti[\"id\"] = cluster\n   139→\ti[\"cluster\"] = cluster\n   140→\ti[\"displayType\"] = \"PUBLIC\" // Used in Main Template\n   141→\treturn i\n   142→}\n   143→\n   144→func setupClusterOverviewRoute(i InfoType, r *http.Request) InfoType {\n   145→\tcluster := chi.URLParam(r, \"cluster\")\n   146→\ti[\"id\"] = cluster\n   147→\ti[\"cluster\"] = cluster\n   148→\ti[\"displayType\"] = \"OVERVIEW\"\n   149→\n   150→\tfrom, to := r.URL.Query().Get(\"from\"), r.URL.Query().Get(\"to\")\n   151→\tif from != \"\" || to != \"\" {\n   152→\t\ti[\"from\"] = from\n   153→\t\ti[\"to\"] = to\n   154→\t}\n   155→\treturn i\n   156→}\n   157→\n   158→func setupClusterListRoute(i InfoType, r *http.Request) InfoType {\n   159→\tcluster := chi.URLParam(r, \"cluster\")\n   160→\tsubcluster := chi.URLParam(r, \"subcluster\")\n   161→\ti[\"id\"] = cluster\n   162→\ti[\"cluster\"] = cluster\n   163→\ti[\"sid\"] = subcluster\n   164→\ti[\"subCluster\"] = subcluster\n   165→\ti[\"displayType\"] = \"LIST\"\n   166→\n   167→\tfrom, to := r.URL.Query().Get(\"from\"), r.URL.Query().Get(\"to\")\n   168→\tif from != \"\" || to != \"\" {\n   169→\t\ti[\"from\"] = from\n   170→\t\ti[\"to\"] = to\n   171→\t}\n   172→\treturn i\n   173→}\n   174→\n   175→func setupNodeRoute(i InfoType, r *http.Request) InfoType {\n   176→\tcluster := chi.URLParam(r, \"cluster\")\n   177→\thostname := chi.URLParam(r, \"hostname\")\n   178→\ti[\"cluster\"] = cluster\n   179→\ti[\"hostname\"] = hostname\n   180→\ti[\"id\"] = fmt.Sprintf(\"%s (%s)\", cluster, hostname)\n   181→\tfrom, to := r.URL.Query().Get(\"from\"), r.URL.Query().Get(\"to\")\n   182→\tif from != \"\" && to != \"\" {\n   183→\t\ti[\"from\"] = from\n   184→\t\ti[\"to\"] = to\n   185→\t}\n   186→\treturn i\n   187→}\n   188→\n   189→func setupAnalysisRoute(i InfoType, r *http.Request) InfoType {\n   190→\ti[\"cluster\"] = chi.URLParam(r, \"cluster\")\n   191→\treturn i\n   192→}\n   193→\n   194→func setupTaglistRoute(i InfoType, r *http.Request) InfoType {\n   195→\tjobRepo := repository.GetJobRepository()\n   196→\ttags, counts, err := jobRepo.CountTags(repository.GetUserFromContext(r.Context()))\n   197→\ttagMap := make(map[string][]map[string]any)\n   198→\tif err != nil {\n   199→\t\tcclog.Warnf(\"GetTags failed: %s\", err.Error())\n   200→\t\ti[\"tagmap\"] = tagMap\n   201→\t\treturn i\n   202→\t}\n   203→\t// Reduces displayed tags for unauth'd users\n   204→\tuserAuthlevel := repository.GetUserFromContext(r.Context()).GetAuthLevel()\n   205→\t// Uses tag.ID as second Map-Key component to differentiate tags with identical names\n   206→\tif userAuthlevel >= 4 { // Support+ : Show tags for all scopes, regardless of count\n   207→\t\tfor _, tag := range tags {\n   208→\t\t\ttagItem := map[string]any{\n   209→\t\t\t\t\"id\":    tag.ID,\n   210→\t\t\t\t\"name\":  tag.Name,\n   211→\t\t\t\t\"scope\": tag.Scope,\n   212→\t\t\t\t\"count\": counts[fmt.Sprint(tag.Type, tag.Name, tag.ID)],\n   213→\t\t\t}\n   214→\t\t\ttagMap[tag.Type] = append(tagMap[tag.Type], tagItem)\n   215→\t\t}\n   216→\t} else if userAuthlevel < 4 && userAuthlevel >= 2 { // User+ : Show global and admin scope only if at least 1 tag used, private scope regardless of count\n   217→\t\tfor _, tag := range tags {\n   218→\t\t\ttagCount := counts[fmt.Sprint(tag.Type, tag.Name, tag.ID)]\n   219→\t\t\tif ((tag.Scope == \"global\" || tag.Scope == \"admin\") && tagCount >= 1) || (tag.Scope != \"global\" && tag.Scope != \"admin\") {\n   220→\t\t\t\ttagItem := map[string]any{\n   221→\t\t\t\t\t\"id\":    tag.ID,\n   222→\t\t\t\t\t\"name\":  tag.Name,\n   223→\t\t\t\t\t\"scope\": tag.Scope,\n   224→\t\t\t\t\t\"count\": tagCount,\n   225→\t\t\t\t}\n   226→\t\t\t\ttagMap[tag.Type] = append(tagMap[tag.Type], tagItem)\n   227→\t\t\t}\n   228→\t\t}\n   229→\t} // auth < 2 return nothing for this route\n   230→\n   231→\ti[\"tagmap\"] = tagMap\n   232→\treturn i\n   233→}\n   234→\n   235→// FIXME: Lots of redundant code. Needs refactoring\n   236→func buildFilterPresets(query url.Values) map[string]any {\n   237→\tfilterPresets := map[string]any{}\n   238→\n   239→\tif query.Get(\"cluster\") != \"\" {\n   240→\t\tfilterPresets[\"cluster\"] = query.Get(\"cluster\")\n   241→\t}\n   242→\tif query.Get(\"partition\") != \"\" {\n   243→\t\tfilterPresets[\"partition\"] = query.Get(\"partition\")\n   244→\t}\n   245→\tif query.Get(\"project\") != \"\" {\n   246→\t\tfilterPresets[\"project\"] = query.Get(\"project\")\n   247→\t\tfilterPresets[\"projectMatch\"] = \"eq\"\n   248→\t}\n   249→\tif query.Get(\"jobName\") != \"\" {\n   250→\t\tfilterPresets[\"jobName\"] = query.Get(\"jobName\")\n   251→\t}\n   252→\tif len(query[\"user\"]) != 0 {\n   253→\t\tif len(query[\"user\"]) == 1 {\n   254→\t\t\tfilterPresets[\"user\"] = query.Get(\"user\")\n   255→\t\t\tfilterPresets[\"userMatch\"] = \"contains\"\n   256→\t\t} else {\n   257→\t\t\tfilterPresets[\"user\"] = query[\"user\"]\n   258→\t\t\tfilterPresets[\"userMatch\"] = \"in\"\n   259→\t\t}\n   260→\t}\n   261→\tif len(query[\"state\"]) != 0 {\n   262→\t\tfilterPresets[\"state\"] = query[\"state\"]\n   263→\t}\n   264→\tif query.Get(\"shared\") != \"\" {\n   265→\t\tfilterPresets[\"shared\"] = query.Get(\"shared\")\n   266→\t}\n   267→\tif query.Get(\"schedule\") != \"\" {\n   268→\t\tfilterPresets[\"schedule\"] = query.Get(\"schedule\")\n   269→\t}\n   270→\tif rawtags, ok := query[\"tag\"]; ok {\n   271→\t\ttags := make([]int, len(rawtags))\n   272→\t\tfor i, tid := range rawtags {\n   273→\t\t\tvar err error\n   274→\t\t\ttags[i], err = strconv.Atoi(tid)\n   275→\t\t\tif err != nil {\n   276→\t\t\t\ttags[i] = -1\n   277→\t\t\t}\n   278→\t\t}\n   279→\t\tfilterPresets[\"tags\"] = tags\n   280→\t}\n   281→\tif query.Get(\"duration\") != \"\" {\n   282→\t\tparts := strings.Split(query.Get(\"duration\"), \"-\")\n   283→\t\tif len(parts) == 2 {\n   284→\t\t\tif parts[0] == \"lessthan\" {\n   285→\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n   286→\t\t\t\tif lte == nil {\n   287→\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"lessThan\": lt, \"from\": 0, \"to\": 0}\n   288→\t\t\t\t}\n   289→\t\t\t} else if parts[0] == \"morethan\" {\n   290→\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n   291→\t\t\t\tif mte == nil {\n   292→\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"moreThan\": mt, \"from\": 0, \"to\": 0}\n   293→\t\t\t\t}\n   294→\t\t\t} else {\n   295→\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n   296→\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n   297→\t\t\t\tif e1 == nil && e2 == nil {\n   298→\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"from\": a, \"to\": b}\n   299→\t\t\t\t}\n   300→\t\t\t}\n   301→\t\t}\n   302→\t}\n   303→\tif query.Get(\"node\") != \"\" {\n   304→\t\tfilterPresets[\"node\"] = query.Get(\"node\")\n   305→\t}\n   306→\tif query.Get(\"numNodes\") != \"\" {\n   307→\t\tparts := strings.Split(query.Get(\"numNodes\"), \"-\")\n   308→\t\tif len(parts) == 2 {\n   309→\t\t\tif parts[0] == \"lessthan\" {\n   310→\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n   311→\t\t\t\tif lte == nil {\n   312→\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": 1, \"to\": lt}\n   313→\t\t\t\t}\n   314→\t\t\t} else if parts[0] == \"morethan\" {\n   315→\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n   316→\t\t\t\tif mte == nil {\n   317→\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": mt, \"to\": 0}\n   318→\t\t\t\t}\n   319→\t\t\t} else {\n   320→\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n   321→\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n   322→\t\t\t\tif e1 == nil && e2 == nil {\n   323→\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": a, \"to\": b}\n   324→\t\t\t\t}\n   325→\t\t\t}\n   326→\t\t}\n   327→\t}\n   328→\tif query.Get(\"numHWThreads\") != \"\" {\n   329→\t\tparts := strings.Split(query.Get(\"numHWThreads\"), \"-\")\n   330→\t\tif len(parts) == 2 {\n   331→\t\t\tif parts[0] == \"lessthan\" {\n   332→\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n   333→\t\t\t\tif lte == nil {\n   334→\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": 1, \"to\": lt}\n   335→\t\t\t\t}\n   336→\t\t\t} else if parts[0] == \"morethan\" {\n   337→\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n   338→\t\t\t\tif mte == nil {\n   339→\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": mt, \"to\": 0}\n   340→\t\t\t\t}\n   341→\t\t\t} else {\n   342→\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n   343→\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n   344→\t\t\t\tif e1 == nil && e2 == nil {\n   345→\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": a, \"to\": b}\n   346→\t\t\t\t}\n   347→\t\t\t}\n   348→\t\t}\n   349→\t}\n   350→\tif query.Get(\"numAccelerators\") != \"\" {\n   351→\t\tparts := strings.Split(query.Get(\"numAccelerators\"), \"-\")\n   352→\t\tif len(parts) == 2 {\n   353→\t\t\tif parts[0] == \"lessthan\" {\n   354→\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n   355→\t\t\t\tif lte == nil {\n   356→\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": 1, \"to\": lt}\n   357→\t\t\t\t}\n   358→\t\t\t} else if parts[0] == \"morethan\" {\n   359→\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n   360→\t\t\t\tif mte == nil {\n   361→\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": mt, \"to\": 0}\n   362→\t\t\t\t}\n   363→\t\t\t} else {\n   364→\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n   365→\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n   366→\t\t\t\tif e1 == nil && e2 == nil {\n   367→\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": a, \"to\": b}\n   368→\t\t\t\t}\n   369→\t\t\t}\n   370→\t\t}\n   371→\t}\n   372→\tif len(query[\"dbId\"]) != 0 {\n   373→\t\tfilterPresets[\"dbId\"] = query[\"dbId\"]\n   374→\t}\n   375→\tif query.Get(\"jobId\") != \"\" {\n   376→\t\tif len(query[\"jobId\"]) == 1 {\n   377→\t\t\tfilterPresets[\"jobId\"] = query.Get(\"jobId\")\n   378→\t\t\tfilterPresets[\"jobIdMatch\"] = \"eq\"\n   379→\t\t} else {\n   380→\t\t\tfilterPresets[\"jobId\"] = query[\"jobId\"]\n   381→\t\t\tfilterPresets[\"jobIdMatch\"] = \"in\"\n   382→\t\t}\n   383→\t}\n   384→\tif query.Get(\"arrayJobId\") != \"\" {\n   385→\t\tif num, err := strconv.Atoi(query.Get(\"arrayJobId\")); err == nil {\n   386→\t\t\tfilterPresets[\"arrayJobId\"] = num\n   387→\t\t}\n   388→\t}\n   389→\tif query.Get(\"startTime\") != \"\" {\n   390→\t\tparts := strings.Split(query.Get(\"startTime\"), \"-\")\n   391→\t\tif len(parts) == 2 { // Time in seconds, from - to\n   392→\t\t\ta, e1 := strconv.ParseInt(parts[0], 10, 64)\n   393→\t\t\tb, e2 := strconv.ParseInt(parts[1], 10, 64)\n   394→\t\t\tif e1 == nil && e2 == nil {\n   395→\t\t\t\tfilterPresets[\"startTime\"] = map[string]string{\n   396→\t\t\t\t\t\"from\": time.Unix(a, 0).Format(time.RFC3339),\n   397→\t\t\t\t\t\"to\":   time.Unix(b, 0).Format(time.RFC3339),\n   398→\t\t\t\t}\n   399→\t\t\t}\n   400→\t\t} else { // named range\n   401→\t\t\tfilterPresets[\"startTime\"] = map[string]string{\n   402→\t\t\t\t\"range\": query.Get(\"startTime\"),\n   403→\t\t\t}\n   404→\t\t}\n   405→\t}\n   406→\tif query.Get(\"energy\") != \"\" {\n   407→\t\tparts := strings.Split(query.Get(\"energy\"), \"-\")\n   408→\t\tif len(parts) == 2 {\n   409→\t\t\tif parts[0] == \"lessthan\" {\n   410→\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n   411→\t\t\t\tif lte == nil {\n   412→\t\t\t\t\tfilterPresets[\"energy\"] = map[string]int{\"from\": 1, \"to\": lt}\n   413→\t\t\t\t}\n   414→\t\t\t} else if parts[0] == \"morethan\" {\n   415→\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n   416→\t\t\t\tif mte == nil {\n   417→\t\t\t\t\tfilterPresets[\"energy\"] = map[string]int{\"from\": mt, \"to\": 0}\n   418→\t\t\t\t}\n   419→\t\t\t} else {\n   420→\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n   421→\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n   422→\t\t\t\tif e1 == nil && e2 == nil {\n   423→\t\t\t\t\tfilterPresets[\"energy\"] = map[string]int{\"from\": a, \"to\": b}\n   424→\t\t\t\t}\n   425→\t\t\t}\n   426→\t\t}\n   427→\t}\n   428→\tif len(query[\"stat\"]) != 0 {\n   429→\t\tstatList := make([]map[string]any, 0)\n   430→\t\tfor _, statEntry := range query[\"stat\"] {\n   431→\t\t\tparts := strings.Split(statEntry, \"-\")\n   432→\t\t\tif len(parts) == 3 { // Metric Footprint Stat Field, from - to\n   433→\t\t\t\tif parts[1] == \"lessthan\" {\n   434→\t\t\t\t\tlt, lte := strconv.ParseInt(parts[2], 10, 64)\n   435→\t\t\t\t\tif lte == nil {\n   436→\t\t\t\t\t\tstatEntry := map[string]any{\n   437→\t\t\t\t\t\t\t\"field\": parts[0],\n   438→\t\t\t\t\t\t\t\"from\":  1,\n   439→\t\t\t\t\t\t\t\"to\":    lt,\n   440→\t\t\t\t\t\t}\n   441→\t\t\t\t\t\tstatList = append(statList, statEntry)\n   442→\t\t\t\t\t}\n   443→\t\t\t\t} else if parts[1] == \"morethan\" {\n   444→\t\t\t\t\tmt, mte := strconv.ParseInt(parts[2], 10, 64)\n   445→\t\t\t\t\tif mte == nil {\n   446→\t\t\t\t\t\tstatEntry := map[string]any{\n   447→\t\t\t\t\t\t\t\"field\": parts[0],\n   448→\t\t\t\t\t\t\t\"from\":  mt,\n   449→\t\t\t\t\t\t\t\"to\":    0,\n   450→\t\t\t\t\t\t}\n   451→\t\t\t\t\t\tstatList = append(statList, statEntry)\n   452→\t\t\t\t\t}\n   453→\t\t\t\t} else {\n   454→\t\t\t\t\ta, e1 := strconv.ParseInt(parts[1], 10, 64)\n   455→\t\t\t\t\tb, e2 := strconv.ParseInt(parts[2], 10, 64)\n   456→\t\t\t\t\tif e1 == nil && e2 == nil {\n   457→\t\t\t\t\t\tstatEntry := map[string]any{\n   458→\t\t\t\t\t\t\t\"field\": parts[0],\n   459→\t\t\t\t\t\t\t\"from\":  a,\n   460→\t\t\t\t\t\t\t\"to\":    b,\n   461→\t\t\t\t\t\t}\n   462→\t\t\t\t\t\tstatList = append(statList, statEntry)\n   463→\t\t\t\t\t}\n   464→\t\t\t\t}\n   465→\t\t\t}\n   466→\t\t}\n   467→\t\tfilterPresets[\"stats\"] = statList\n   468→\t}\n   469→\treturn filterPresets\n   470→}\n   471→\n   472→func SetupRoutes(router chi.Router, buildInfo web.Build) {\n   473→\tuserCfgRepo := repository.GetUserCfgRepo()\n   474→\tfor _, route := range routes {\n   475→\t\trouter.HandleFunc(route.Route, func(rw http.ResponseWriter, r *http.Request) {\n   476→\t\t\tconf, err := userCfgRepo.GetUIConfig(repository.GetUserFromContext(r.Context()))\n   477→\t\t\tif err != nil {\n   478→\t\t\t\thttp.Error(rw, err.Error(), http.StatusInternalServerError)\n   479→\t\t\t\treturn\n   480→\t\t\t}\n   481→\n   482→\t\t\ttitle := route.Title\n   483→\t\t\tinfos := route.Setup(map[string]any{}, r)\n   484→\t\t\tif id, ok := infos[\"id\"]; ok {\n   485→\t\t\t\ttitle = strings.Replace(route.Title, \"<ID>\", id.(string), 1)\n   486→\t\t\t\tif sid, ok := infos[\"sid\"]; ok { // 2nd ID element\n   487→\t\t\t\t\ttitle = strings.Replace(title, \"<SID>\", sid.(string), 1)\n   488→\t\t\t\t}\n   489→\t\t\t}\n   490→\n   491→\t\t\t// Get User -> What if NIL?\n   492→\t\t\tuser := repository.GetUserFromContext(r.Context())\n   493→\n   494→\t\t\t// Get Roles\n   495→\t\t\tavailableRoles, _ := schema.GetValidRolesMap(user)\n   496→\n   497→\t\t\tresampling := resamplingForUser(conf)\n   498→\n   499→\t\t\tpage := web.Page{\n   500→\t\t\t\tTitle:      title,\n   501→\t\t\t\tUser:       *user,\n   502→\t\t\t\tRoles:      availableRoles,\n   503→\t\t\t\tBuild:      buildInfo,\n   504→\t\t\t\tConfig:     conf,\n   505→\t\t\t\tResampling: resampling,\n   506→\t\t\t\tInfos:      infos,\n   507→\t\t\t}\n   508→\n   509→\t\t\tif route.Filter {\n   510→\t\t\t\tpage.FilterPresets = buildFilterPresets(r.URL.Query())\n   511→\t\t\t}\n   512→\n   513→\t\t\tweb.RenderTemplate(rw, route.Template, &page)\n   514→\t\t})\n   515→\t}\n   516→}\n   517→\n   518→func HandleSearchBar(rw http.ResponseWriter, r *http.Request, buildInfo web.Build) {\n   519→\tuser := repository.GetUserFromContext(r.Context())\n   520→\tavailableRoles, _ := schema.GetValidRolesMap(user)\n   521→\n   522→\tif search := r.URL.Query().Get(\"searchId\"); search != \"\" {\n   523→\t\trepo := repository.GetJobRepository()\n   524→\t\tsplitSearch := strings.Split(search, \":\")\n   525→\n   526→\t\tif len(splitSearch) == 2 {\n   527→\t\t\tswitch strings.Trim(splitSearch[0], \" \") {\n   528→\t\t\tcase \"jobId\":\n   529→\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?jobId=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n   530→\t\t\tcase \"jobName\":\n   531→\t\t\t\t// Add Last 30 Days to migitate timeouts\n   532→\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 10)\n   533→\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n   534→\n   535→\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&jobName=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n   536→\t\t\tcase \"projectId\":\n   537→\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?projectMatch=eq&project=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n   538→\t\t\tcase \"arrayJobId\":\n   539→\t\t\t\t// Add Last 30 Days to migitate timeouts\n   540→\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 10)\n   541→\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n   542→\n   543→\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&arrayJobId=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n   544→\t\t\tcase \"username\":\n   545→\t\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n   546→\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \"))+\"&startTime=last30d\", http.StatusFound)\n   547→\t\t\t\t} else {\n   548→\t\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Error\", MsgType: \"alert-danger\", Message: \"Missing Access Rights\", User: *user, Roles: availableRoles, Build: buildInfo})\n   549→\t\t\t\t}\n   550→\t\t\tcase \"name\":\n   551→\t\t\t\tusernames, _ := repo.FindColumnValues(user, strings.Trim(splitSearch[1], \" \"), \"user\", \"username\", \"name\")\n   552→\t\t\t\tif len(usernames) != 0 {\n   553→\t\t\t\t\tjoinedNames := strings.Join(usernames, \"&user=\")\n   554→\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=\"+joinedNames+\"&startTime=last30d\", http.StatusFound)\n   555→\t\t\t\t} else {\n   556→\t\t\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n   557→\t\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=NoUserNameFound&startTime=last30d\", http.StatusPermanentRedirect)\n   558→\t\t\t\t\t} else {\n   559→\t\t\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Error\", MsgType: \"alert-danger\", Message: \"Missing Access Rights\", User: *user, Roles: availableRoles, Build: buildInfo})\n   560→\t\t\t\t\t}\n   561→\t\t\t\t}\n   562→\t\t\tdefault:\n   563→\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Warning\", MsgType: \"alert-warning\", Message: fmt.Sprintf(\"Unknown search type: %s\", strings.Trim(splitSearch[0], \" \")), User: *user, Roles: availableRoles, Build: buildInfo})\n   564→\t\t\t}\n   565→\t\t} else if len(splitSearch) == 1 {\n   566→\n   567→\t\t\tjobid, username, project, jobname := repo.FindUserOrProjectOrJobname(user, strings.Trim(search, \" \"))\n   568→\n   569→\t\t\tif jobid != \"\" {\n   570→\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?jobId=\"+url.QueryEscape(jobid), http.StatusFound) // JobId (Match)\n   571→\t\t\t} else if username != \"\" {\n   572→\t\t\t\thttp.Redirect(rw, r, \"/monitoring/user/\"+username, http.StatusFound) // User: Redirect to user page of first match\n   573→\t\t\t} else if project != \"\" {\n   574→\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?projectMatch=eq&project=\"+url.QueryEscape(project), http.StatusFound) // projectId (equal)\n   575→\t\t\t} else if jobname != \"\" {\n   576→\t\t\t\t// Add Last 30 Days to migitate timeouts\n   577→\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 10)\n   578→\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n   579→\n   580→\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&jobName=\"+url.QueryEscape(jobname), http.StatusFound) // 30D Fitler + JobName (contains)\n   581→\t\t\t} else {\n   582→\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Info\", MsgType: \"alert-info\", Message: \"Search without result\", User: *user, Roles: availableRoles, Build: buildInfo})\n   583→\t\t\t}\n   584→\n   585→\t\t} else {\n   586→\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Error\", MsgType: \"alert-danger\", Message: \"Searchbar query parameters malformed\", User: *user, Roles: availableRoles, Build: buildInfo})\n   587→\t\t}\n   588→\t} else {\n   589→\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Warning\", MsgType: \"alert-warning\", Message: \"Empty search\", User: *user, Roles: availableRoles, Build: buildInfo})\n   590→\t}\n   591→}\n   592→\n   593→// resamplingForUser returns a ResampleConfig that incorporates the user's\n   594→// resample policy preference. If the user has a policy set, it creates a\n   595→// policy-derived config with targetPoints and trigger. Otherwise falls back\n   596→// to the global config.\n   597→func resamplingForUser(conf map[string]any) *config.ResampleConfig {\n   598→\tglobalCfg := config.Keys.EnableResampling\n   599→\n   600→\tpolicyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]\n   601→\tif !ok {\n   602→\t\treturn globalCfg\n   603→\t}\n   604→\tpolicyStr, ok := policyVal.(string)\n   605→\tif !ok || policyStr == \"\" {\n   606→\t\treturn globalCfg\n   607→\t}\n   608→\n   609→\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n   610→\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n   611→\tif targetPoints == 0 {\n   612→\t\treturn globalCfg\n   613→\t}\n   614→\n   615→\t// Build a policy-derived config: targetPoints + trigger, no resolutions array\n   616→\treturn &config.ResampleConfig{\n   617→\t\tTargetPoints: targetPoints,\n   618→\t\tTrigger:      targetPoints / 4,\n   619→\t}\n   620→}\n   621→"}]},"uuid":"d4d15797-5f42-4514-8257-b4b3a261b976","timestamp":"2026-03-20T06:19:59.805Z"},"type":"agent_progress","prompt":"","agentId":"a94d541086ef2e733"},"toolUseID":"agent_msg_01KkzdazjB6DcKN6KmbtGTKq","parentToolUseID":"toolu_018fSdSLwvUuC9yLt4j7CLXd","uuid":"4ae9b988-714a-477b-8b4a-9d435d5aeb76","timestamp":"2026-03-20T06:19:59.806Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"4ae9b988-714a-477b-8b4a-9d435d5aeb76","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-20T06:20:01.177Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01VrrM5G7Eb7g4FQ58BPrdrs","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Q9PsSbxYyDUiHjSX9vhmjg","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/web/web.go","limit":200},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"cache_creation_input_tokens":10110,"cache_read_input_tokens":29002,"cache_creation":{"ephemeral_5m_input_tokens":10110,"ephemeral_1h_input_tokens":0},"output_tokens":7,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZDr8FHybPii9QtwHZZ3b","uuid":"da4a263a-30fd-4145-b6d0-41bb677fa04e"},"type":"agent_progress","prompt":"","agentId":"a94d541086ef2e733"},"toolUseID":"agent_msg_01KkzdazjB6DcKN6KmbtGTKq","parentToolUseID":"toolu_018fSdSLwvUuC9yLt4j7CLXd","uuid":"8da11fbe-6b00-4e49-b3ae-5aa5b2ef147e","timestamp":"2026-03-20T06:20:01.177Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"8da11fbe-6b00-4e49-b3ae-5aa5b2ef147e","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Q9PsSbxYyDUiHjSX9vhmjg","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package web implements the HTML templating and web frontend configuration\n     7→package web\n     8→\n     9→import (\n    10→\t\"embed\"\n    11→\t\"encoding/json\"\n    12→\t\"html/template\"\n    13→\t\"io/fs\"\n    14→\t\"net/http\"\n    15→\t\"strings\"\n    16→\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n    22→)\n    23→\n    24→type WebConfig struct {\n    25→\tJobList           JobListConfig     `json:\"job-list\"`\n    26→\tNodeList          NodeListConfig    `json:\"node-list\"`\n    27→\tJobView           JobViewConfig     `json:\"job-view\"`\n    28→\tMetricConfig      MetricConfig      `json:\"metric-config\"`\n    29→\tPlotConfiguration PlotConfiguration `json:\"plot-configuration\"`\n    30→}\n    31→\n    32→type JobListConfig struct {\n    33→\tUsePaging     bool `json:\"use-paging\"`\n    34→\tShowFootprint bool `json:\"show-footprint\"`\n    35→}\n    36→\n    37→type NodeListConfig struct {\n    38→\tUsePaging bool `json:\"use-paging\"`\n    39→}\n    40→\n    41→type JobViewConfig struct {\n    42→\tShowPolarPlot bool `json:\"show-polar-plot\"`\n    43→\tShowFootprint bool `json:\"show-footprint\"`\n    44→\tShowRoofline  bool `json:\"show-roofline\"`\n    45→\tShowStatTable bool `json:\"show-stat-table\"`\n    46→}\n    47→\n    48→type MetricConfig struct {\n    49→\tJobListMetrics      []string        `json:\"job-list-metrics\"`\n    50→\tJobViewPlotMetrics  []string        `json:\"job-view-plot-metrics\"`\n    51→\tJobViewTableMetrics []string        `json:\"job-view-table-metrics\"`\n    52→\tClusters            []ClusterConfig `json:\"clusters\"`\n    53→}\n    54→\n    55→type ClusterConfig struct {\n    56→\tName                string             `json:\"name\"`\n    57→\tJobListMetrics      []string           `json:\"job-list-metrics\"`\n    58→\tJobViewPlotMetrics  []string           `json:\"job-view-plot-metrics\"`\n    59→\tJobViewTableMetrics []string           `json:\"job-view-table-metrics\"`\n    60→\tSubClusters         []SubClusterConfig `json:\"sub-clusters\"`\n    61→}\n    62→\n    63→type SubClusterConfig struct {\n    64→\tName                string   `json:\"name\"`\n    65→\tJobListMetrics      []string `json:\"job-list-metrics\"`\n    66→\tJobViewPlotMetrics  []string `json:\"job-view-plot-metrics\"`\n    67→\tJobViewTableMetrics []string `json:\"job-view-table-metrics\"`\n    68→}\n    69→\n    70→type PlotConfiguration struct {\n    71→\tColorBackground bool     `json:\"color-background\"`\n    72→\tPlotsPerRow     int      `json:\"plots-per-row\"`\n    73→\tLineWidth       int      `json:\"line-width\"`\n    74→\tColorScheme     []string `json:\"color-scheme\"`\n    75→\tResampleAlgo    string   `json:\"resample-algo\"`\n    76→\tResamplePolicy  string   `json:\"resample-policy\"`\n    77→}\n    78→\n    79→var UIDefaults = WebConfig{\n    80→\tJobList: JobListConfig{\n    81→\t\tUsePaging:     false,\n    82→\t\tShowFootprint: false,\n    83→\t},\n    84→\tNodeList: NodeListConfig{\n    85→\t\tUsePaging: false,\n    86→\t},\n    87→\tJobView: JobViewConfig{\n    88→\t\tShowPolarPlot: true,\n    89→\t\tShowFootprint: false,\n    90→\t\tShowRoofline:  true,\n    91→\t\tShowStatTable: true,\n    92→\t},\n    93→\tMetricConfig: MetricConfig{\n    94→\t\tJobListMetrics:      []string{\"cpu_load\", \"flops_any\", \"mem_bw\", \"mem_used\"},\n    95→\t\tJobViewPlotMetrics:  []string{\"cpu_load\", \"flops_any\", \"mem_bw\", \"mem_used\"},\n    96→\t\tJobViewTableMetrics: []string{\"flops_any\", \"mem_bw\", \"mem_used\"},\n    97→\t},\n    98→\tPlotConfiguration: PlotConfiguration{\n    99→\t\tColorBackground: true,\n   100→\t\tPlotsPerRow:     3,\n   101→\t\tLineWidth:       3,\n   102→\t\tColorScheme:     []string{\"#00bfff\", \"#0000ff\", \"#ff00ff\", \"#ff0000\", \"#ff8000\", \"#ffff00\", \"#80ff00\"},\n   103→\t},\n   104→}\n   105→\n   106→var UIDefaultsMap map[string]any\n   107→\n   108→//\n   109→// \tmap[string]any{\n   110→// \t\"analysis_view_histogramMetrics\":         []string{\"flops_any\", \"mem_bw\", \"mem_used\"},\n   111→// \t\"analysis_view_scatterPlotMetrics\":       [][]string{{\"flops_any\", \"mem_bw\"}, {\"flops_any\", \"cpu_load\"}, {\"cpu_load\", \"mem_bw\"}},\n   112→// \t\"job_view_nodestats_selectedMetrics\":     []string{\"flops_any\", \"mem_bw\", \"mem_used\"},\n   113→// \t\"plot_list_jobsPerPage\":                  50,\n   114→// \t\"analysis_view_selectedTopEntity\":        \"user\",\n   115→// \t\"analysis_view_selectedTopCategory\":      \"totalWalltime\",\n   116→// \t\"status_view_selectedTopUserCategory\":    \"totalJobs\",\n   117→// \t\"status_view_selectedTopProjectCategory\": \"totalJobs\",\n   118→// }\n   119→\n   120→func Init(rawConfig json.RawMessage) error {\n   121→\tvar err error\n   122→\n   123→\tif rawConfig != nil {\n   124→\t\tconfig.Validate(configSchema, rawConfig)\n   125→\t\tif err = json.Unmarshal(rawConfig, &UIDefaults); err != nil {\n   126→\t\t\tcclog.Warn(\"Error while unmarshaling raw config json\")\n   127→\t\t\treturn err\n   128→\t\t}\n   129→\t}\n   130→\n   131→\tUIDefaultsMap = make(map[string]any)\n   132→\n   133→\tUIDefaultsMap[\"jobList_usePaging\"] = UIDefaults.JobList.UsePaging\n   134→\tUIDefaultsMap[\"jobList_showFootprint\"] = UIDefaults.JobList.ShowFootprint\n   135→\tUIDefaultsMap[\"nodeList_usePaging\"] = UIDefaults.NodeList.UsePaging\n   136→\tUIDefaultsMap[\"jobView_showPolarPlot\"] = UIDefaults.JobView.ShowPolarPlot\n   137→\tUIDefaultsMap[\"jobView_showFootprint\"] = UIDefaults.JobView.ShowFootprint\n   138→\tUIDefaultsMap[\"jobView_showRoofline\"] = UIDefaults.JobView.ShowRoofline\n   139→\tUIDefaultsMap[\"jobView_showStatTable\"] = UIDefaults.JobView.ShowStatTable\n   140→\n   141→\tUIDefaultsMap[\"metricConfig_jobListMetrics\"] = UIDefaults.MetricConfig.JobListMetrics\n   142→\tUIDefaultsMap[\"metricConfig_jobViewPlotMetrics\"] = UIDefaults.MetricConfig.JobViewPlotMetrics\n   143→\tUIDefaultsMap[\"metricConfig_jobViewTableMetrics\"] = UIDefaults.MetricConfig.JobViewTableMetrics\n   144→\n   145→\tUIDefaultsMap[\"plotConfiguration_colorBackground\"] = UIDefaults.PlotConfiguration.ColorBackground\n   146→\tUIDefaultsMap[\"plotConfiguration_plotsPerRow\"] = UIDefaults.PlotConfiguration.PlotsPerRow\n   147→\tUIDefaultsMap[\"plotConfiguration_lineWidth\"] = UIDefaults.PlotConfiguration.LineWidth\n   148→\tUIDefaultsMap[\"plotConfiguration_colorScheme\"] = UIDefaults.PlotConfiguration.ColorScheme\n   149→\tUIDefaultsMap[\"plotConfiguration_resampleAlgo\"] = UIDefaults.PlotConfiguration.ResampleAlgo\n   150→\tUIDefaultsMap[\"plotConfiguration_resamplePolicy\"] = UIDefaults.PlotConfiguration.ResamplePolicy\n   151→\n   152→\tfor _, c := range UIDefaults.MetricConfig.Clusters {\n   153→\t\tif c.JobListMetrics != nil {\n   154→\t\t\tUIDefaultsMap[\"metricConfig_jobListMetrics:\"+c.Name] = c.JobListMetrics\n   155→\t\t}\n   156→\t\tif c.JobViewPlotMetrics != nil {\n   157→\t\t\tUIDefaultsMap[\"metricConfig_jobViewPlotMetrics:\"+c.Name] = c.JobViewPlotMetrics\n   158→\t\t}\n   159→\t\tif c.JobViewTableMetrics != nil {\n   160→\t\t\tUIDefaultsMap[\"metricConfig_jobViewTableMetrics:\"+c.Name] = c.JobViewTableMetrics\n   161→\t\t}\n   162→\n   163→\t\tfor _, sc := range c.SubClusters {\n   164→\t\t\tsuffix := strings.Join([]string{c.Name, sc.Name}, \":\")\n   165→\t\t\tif sc.JobListMetrics != nil {\n   166→\t\t\t\tUIDefaultsMap[\"metricConfig_jobListMetrics:\"+suffix] = sc.JobListMetrics\n   167→\t\t\t}\n   168→\t\t\tif sc.JobViewPlotMetrics != nil {\n   169→\t\t\t\tUIDefaultsMap[\"metricConfig_jobViewPlotMetrics:\"+suffix] = sc.JobViewPlotMetrics\n   170→\t\t\t}\n   171→\t\t\tif sc.JobViewTableMetrics != nil {\n   172→\t\t\t\tUIDefaultsMap[\"metricConfig_jobViewTableMetrics:\"+suffix] = sc.JobViewTableMetrics\n   173→\t\t\t}\n   174→\t\t}\n   175→\t}\n   176→\n   177→\treturn err\n   178→}\n   179→\n   180→// / Go's embed is only allowed to embed files in a subdirectory of the embedding package ([see here](https://github.com/golang/go/issues/46056)).\n   181→//\n   182→//go:embed frontend/public/*\n   183→var frontendFiles embed.FS\n   184→\n   185→func ServeFiles() http.Handler {\n   186→\tpublicFiles, err := fs.Sub(frontendFiles, \"frontend/public\")\n   187→\tif err != nil {\n   188→\t\tcclog.Abortf(\"Serve Files: Could not find 'frontend/public' file directory.\\nError: %s\\n\", err.Error())\n   189→\t}\n   190→\treturn http.FileServer(http.FS(publicFiles))\n   191→}\n   192→\n   193→// StaticFileExists checks whether a static file exists in the embedded frontend FS.\n   194→func StaticFileExists(path string) bool {\n   195→\tpath = strings.TrimPrefix(path, \"/\")\n   196→\tif path == \"\" {\n   197→\t\treturn false\n   198→\t}\n   199→\t_, err := fs.Stat(frontendFiles, \"frontend/public/\"+path)\n   200→\treturn err == nil"}]},"uuid":"7d785e53-1466-4629-a283-dabc65d1aa21","timestamp":"2026-03-20T06:20:01.192Z"},"type":"agent_progress","prompt":"","agentId":"a94d541086ef2e733"},"toolUseID":"agent_msg_01KkzdazjB6DcKN6KmbtGTKq","parentToolUseID":"toolu_018fSdSLwvUuC9yLt4j7CLXd","uuid":"4b0565d5-3c83-4a31-9b91-e61afcb09f2e","timestamp":"2026-03-20T06:20:01.200Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"ebc7a9a4-fba7-44bc-8582-d08b925c3a64","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TtTGg1nkueqcCvetP42u3S","type":"tool_result","content":"     1→scalar Time\n     2→scalar Any\n     3→\n     4→scalar NullableFloat\n     5→scalar MetricScope\n     6→scalar JobState\n     7→scalar SchedulerState\n     8→scalar MonitoringState\n     9→\n    10→type Node {\n    11→  id: ID!\n    12→  hostname: String!\n    13→  cluster: String!\n    14→  subCluster: String!\n    15→  jobsRunning: Int!\n    16→  cpusAllocated: Int\n    17→  memoryAllocated: Int\n    18→  gpusAllocated: Int\n    19→  schedulerState: SchedulerState!\n    20→  healthState: MonitoringState!\n    21→  metaData: Any\n    22→  healthData: Any\n    23→}\n    24→\n    25→type NodeStates {\n    26→  state: String!\n    27→  count: Int!\n    28→}\n    29→\n    30→type NodeStatesTimed {\n    31→  state: String!\n    32→  counts: [Int!]!\n    33→  times: [Int!]!\n    34→}\n    35→\n    36→type Job {\n    37→  id: ID!\n    38→  jobId: Int!\n    39→  user: String!\n    40→  project: String!\n    41→  cluster: String!\n    42→  subCluster: String!\n    43→  startTime: Time!\n    44→  duration: Int!\n    45→  walltime: Int!\n    46→  numNodes: Int!\n    47→  numHWThreads: Int!\n    48→  numAcc: Int!\n    49→  energy: Float!\n    50→  SMT: Int!\n    51→  shared: String!\n    52→  partition: String!\n    53→  arrayJobId: Int!\n    54→  monitoringStatus: Int!\n    55→  state: JobState!\n    56→  tags: [Tag!]!\n    57→  resources: [Resource!]!\n    58→  concurrentJobs: JobLinkResultList\n    59→  footprint: [FootprintValue]\n    60→  energyFootprint: [EnergyFootprintValue]\n    61→  metaData: Any\n    62→  userData: User\n    63→}\n    64→\n    65→type JobLink {\n    66→  id: ID!\n    67→  jobId: Int!\n    68→}\n    69→\n    70→type Cluster {\n    71→  name: String!\n    72→  partitions: [String!]! # Slurm partitions\n    73→  subClusters: [SubCluster!]! # Hardware partitions/subclusters\n    74→}\n    75→\n    76→type SubCluster {\n    77→  name: String!\n    78→  nodes: String!\n    79→  numberOfNodes: Int!\n    80→  processorType: String!\n    81→  socketsPerNode: Int!\n    82→  coresPerSocket: Int!\n    83→  threadsPerCore: Int!\n    84→  flopRateScalar: MetricValue!\n    85→  flopRateSimd: MetricValue!\n    86→  memoryBandwidth: MetricValue!\n    87→  topology: Topology!\n    88→  metricConfig: [MetricConfig!]!\n    89→  footprint: [String!]!\n    90→}\n    91→\n    92→type FootprintValue {\n    93→  name: String!\n    94→  stat: String!\n    95→  value: Float!\n    96→}\n    97→\n    98→type EnergyFootprintValue {\n    99→  hardware: String!\n   100→  metric: String!\n   101→  value: Float!\n   102→}\n   103→\n   104→type MetricValue {\n   105→  name: String\n   106→  unit: Unit!\n   107→  value: Float!\n   108→}\n   109→\n   110→type Topology {\n   111→  node: [Int!]\n   112→  socket: [[Int!]!]\n   113→  memoryDomain: [[Int!]!]\n   114→  die: [[Int!]!]\n   115→  core: [[Int!]!]\n   116→  accelerators: [Accelerator!]\n   117→}\n   118→\n   119→type Accelerator {\n   120→  id: String!\n   121→  type: String!\n   122→  model: String!\n   123→}\n   124→\n   125→type SubClusterConfig {\n   126→  name: String!\n   127→  peak: Float\n   128→  normal: Float\n   129→  caution: Float\n   130→  alert: Float\n   131→  remove: Boolean\n   132→}\n   133→\n   134→type MetricConfig {\n   135→  name: String!\n   136→  unit: Unit!\n   137→  scope: MetricScope!\n   138→  aggregation: String!\n   139→  timestep: Int!\n   140→  peak: Float!\n   141→  normal: Float\n   142→  caution: Float!\n   143→  alert: Float!\n   144→  lowerIsBetter: Boolean\n   145→  subClusters: [SubClusterConfig!]!\n   146→}\n   147→\n   148→type Tag {\n   149→  id: ID!\n   150→  type: String!\n   151→  name: String!\n   152→  scope: String!\n   153→}\n   154→\n   155→type Resource {\n   156→  hostname: String!\n   157→  hwthreads: [Int!]\n   158→  accelerators: [String!]\n   159→  configuration: String\n   160→}\n   161→\n   162→type JobMetricWithName {\n   163→  name: String!\n   164→  scope: MetricScope!\n   165→  metric: JobMetric!\n   166→}\n   167→\n   168→type ClusterMetricWithName {\n   169→  name: String!\n   170→  unit: Unit\n   171→  timestep: Int!\n   172→  data: [NullableFloat!]!\n   173→}\n   174→\n   175→type JobMetric {\n   176→  unit: Unit\n   177→  timestep: Int!\n   178→  series: [Series!]\n   179→  statisticsSeries: StatsSeries\n   180→}\n   181→\n   182→type Series {\n   183→  hostname: String!\n   184→  id: String\n   185→  statistics: MetricStatistics\n   186→  data: [NullableFloat!]!\n   187→}\n   188→\n   189→type StatsSeries {\n   190→  mean: [NullableFloat!]!\n   191→  median: [NullableFloat!]!\n   192→  min: [NullableFloat!]!\n   193→  max: [NullableFloat!]!\n   194→}\n   195→\n   196→type NamedStatsWithScope {\n   197→  name: String!\n   198→  scope: MetricScope!\n   199→  stats: [ScopedStats!]!\n   200→}\n   201→\n   202→type ScopedStats {\n   203→  hostname: String!\n   204→  id: String\n   205→  data: MetricStatistics!\n   206→}\n   207→\n   208→type JobStats {\n   209→  id: Int!\n   210→  jobId: String!\n   211→  startTime: Int!\n   212→  duration: Int!\n   213→  cluster: String!\n   214→  subCluster: String!\n   215→  numNodes: Int!\n   216→  numHWThreads: Int\n   217→  numAccelerators: Int\n   218→  stats: [NamedStats!]!\n   219→}\n   220→\n   221→type NamedStats {\n   222→  name: String!\n   223→  data: MetricStatistics!\n   224→}\n   225→\n   226→type Unit {\n   227→  base: String!\n   228→  prefix: String\n   229→}\n   230→\n   231→type MetricStatistics {\n   232→  avg: Float!\n   233→  min: Float!\n   234→  max: Float!\n   235→}\n   236→\n   237→type MetricFootprints {\n   238→  metric: String!\n   239→  data: [NullableFloat!]!\n   240→}\n   241→\n   242→type Footprints {\n   243→  timeWeights: TimeWeights!\n   244→  metrics: [MetricFootprints!]!\n   245→}\n   246→\n   247→type TimeWeights {\n   248→  nodeHours: [NullableFloat!]!\n   249→  accHours: [NullableFloat!]!\n   250→  coreHours: [NullableFloat!]!\n   251→}\n   252→\n   253→enum ResampleAlgo {\n   254→  LTTB\n   255→  AVERAGE\n   256→  SIMPLE\n   257→}\n   258→\n   259→enum Aggregate {\n   260→  USER\n   261→  PROJECT\n   262→  CLUSTER\n   263→  SUBCLUSTER\n   264→}\n   265→enum SortByAggregate {\n   266→  TOTALWALLTIME\n   267→  TOTALJOBS\n   268→  TOTALUSERS\n   269→  TOTALNODES\n   270→  TOTALNODEHOURS\n   271→  TOTALCORES\n   272→  TOTALCOREHOURS\n   273→  TOTALACCS\n   274→  TOTALACCHOURS\n   275→}\n   276→\n   277→type NodeMetrics {\n   278→  host: String!\n   279→  nodeState: String!\n   280→  metricHealth: String!\n   281→  subCluster: String!\n   282→  metrics: [JobMetricWithName!]!\n   283→}\n   284→\n   285→type ClusterMetrics {\n   286→  nodeCount: Int!\n   287→  metrics: [ClusterMetricWithName!]!\n   288→}\n   289→\n   290→type NodesResultList {\n   291→  items: [NodeMetrics!]!\n   292→  offset: Int\n   293→  limit: Int\n   294→  count: Int\n   295→  totalNodes: Int\n   296→  hasNextPage: Boolean\n   297→}\n   298→\n   299→type ClusterSupport {\n   300→  cluster: String!\n   301→  subClusters: [String!]!\n   302→}\n   303→\n   304→type GlobalMetricListItem {\n   305→  name: String!\n   306→  unit: Unit!\n   307→  scope: MetricScope!\n   308→  footprint: String\n   309→  availability: [ClusterSupport!]!\n   310→}\n   311→\n   312→type Count {\n   313→  name: String!\n   314→  count: Int!\n   315→}\n   316→\n   317→type User {\n   318→  username: String!\n   319→  name: String!\n   320→  email: String!\n   321→}\n   322→\n   323→input MetricStatItem {\n   324→  metricName: String!\n   325→  range: FloatRange!\n   326→}\n   327→\n   328→type Query {\n   329→  clusters: [Cluster!]! # List of all clusters\n   330→  tags: [Tag!]! # List of all tags\n   331→  globalMetrics: [GlobalMetricListItem!]!\n   332→\n   333→  user(username: String!): User\n   334→  allocatedNodes(cluster: String!): [Count!]!\n   335→\n   336→  ## Node Queries New\n   337→  node(id: ID!): Node\n   338→  nodes(filter: [NodeFilter!], order: OrderByInput): NodeStateResultList!\n   339→  nodesWithMeta(filter: [NodeFilter!], order: OrderByInput): NodeStateResultList!\n   340→  nodeStates(filter: [NodeFilter!]): [NodeStates!]!\n   341→  nodeStatesTimed(filter: [NodeFilter!], type: String!): [NodeStatesTimed!]!\n   342→\n   343→  job(id: ID!): Job\n   344→  jobMetrics(\n   345→    id: ID!\n   346→    metrics: [String!]\n   347→    scopes: [MetricScope!]\n   348→    resolution: Int\n   349→    resampleAlgo: ResampleAlgo\n   350→  ): [JobMetricWithName!]!\n   351→\n   352→  jobStats(id: ID!, metrics: [String!]): [NamedStats!]!\n   353→\n   354→  scopedJobStats(\n   355→    id: ID!\n   356→    metrics: [String!]\n   357→    scopes: [MetricScope!]\n   358→  ): [NamedStatsWithScope!]!\n   359→\n   360→  jobs(\n   361→    filter: [JobFilter!]\n   362→    page: PageRequest\n   363→    order: OrderByInput\n   364→  ): JobResultList!\n   365→\n   366→  jobsStatistics(\n   367→    filter: [JobFilter!]\n   368→    metrics: [String!]\n   369→    page: PageRequest\n   370→    sortBy: SortByAggregate\n   371→    groupBy: Aggregate\n   372→    numDurationBins: String\n   373→    numMetricBins: Int\n   374→  ): [JobsStatistics!]!\n   375→\n   376→  jobsMetricStats(filter: [JobFilter!], metrics: [String!]): [JobStats!]!\n   377→  jobsFootprints(filter: [JobFilter!], metrics: [String!]!): Footprints\n   378→\n   379→  rooflineHeatmap(\n   380→    filter: [JobFilter!]!\n   381→    rows: Int!\n   382→    cols: Int!\n   383→    minX: Float!\n   384→    minY: Float!\n   385→    maxX: Float!\n   386→    maxY: Float!\n   387→  ): [[Float!]!]!\n   388→\n   389→  nodeMetrics(\n   390→    cluster: String!\n   391→    nodes: [String!]\n   392→    scopes: [MetricScope!]\n   393→    metrics: [String!]\n   394→    from: Time!\n   395→    to: Time!\n   396→  ): [NodeMetrics!]!\n   397→\n   398→  nodeMetricsList(\n   399→    cluster: String!\n   400→    subCluster: String!\n   401→    stateFilter: String!\n   402→    nodeFilter: String!\n   403→    scopes: [MetricScope!]\n   404→    metrics: [String!]\n   405→    from: Time!\n   406→    to: Time!\n   407→    page: PageRequest\n   408→    resolution: Int\n   409→    resampleAlgo: ResampleAlgo\n   410→  ): NodesResultList!\n   411→\n   412→  clusterMetrics(\n   413→    cluster: String!\n   414→    metrics: [String!]\n   415→    from: Time!\n   416→    to: Time!\n   417→  ): ClusterMetrics!\n   418→}\n   419→\n   420→type Mutation {\n   421→  createTag(type: String!, name: String!, scope: String!): Tag!\n   422→  deleteTag(id: ID!): ID!\n   423→  addTagsToJob(job: ID!, tagIds: [ID!]!): [Tag!]!\n   424→  removeTagsFromJob(job: ID!, tagIds: [ID!]!): [Tag!]!\n   425→  removeTagFromList(tagIds: [ID!]!): [Int!]!\n   426→\n   427→  updateConfiguration(name: String!, value: String!): String\n   428→}\n   429→\n   430→type IntRangeOutput {\n   431→  from: Int!\n   432→  to: Int!\n   433→}\n   434→type TimeRangeOutput {\n   435→  range: String\n   436→  from: Time!\n   437→  to: Time!\n   438→}\n   439→\n   440→input NodeFilter {\n   441→  hostname: StringInput\n   442→  cluster: StringInput\n   443→  subCluster: StringInput\n   444→  schedulerState: SchedulerState\n   445→  healthState: MonitoringState\n   446→  timeStart: Int\n   447→}\n   448→\n   449→input JobFilter {\n   450→  tags: [ID!]"}]},"uuid":"b9ab8d1a-d820-491e-a221-0ee35ceab40f","timestamp":"2026-03-20T06:20:04.730Z"},"type":"agent_progress","prompt":"","agentId":"a94d541086ef2e733"},"toolUseID":"agent_msg_01KkzdazjB6DcKN6KmbtGTKq","parentToolUseID":"toolu_018fSdSLwvUuC9yLt4j7CLXd","uuid":"55a5c232-d4f6-4761-aae7-fd1d0ef1a90b","timestamp":"2026-03-20T06:20:04.756Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"bc06af31-82bf-4f0a-a828-ef59bb2ba6d0","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ERaz4S5C4R43hXj2qs7qQ5","type":"tool_result","content":"   501→func (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int, resampleAlgo *model.ResampleAlgo) ([]*model.JobMetricWithName, error) {\n   502→\tjob, err := r.Query().Job(ctx, id)\n   503→\tif err != nil {\n   504→\t\tcclog.Warn(\"Error while querying job for metrics\")\n   505→\t\treturn nil, err\n   506→\t}\n   507→\n   508→\t// Resolve resolution: explicit param > user policy > global config > 0\n   509→\tif resolution == nil {\n   510→\t\tresolution = resolveResolutionFromPolicy(ctx, int64(job.Duration), job.Cluster, metrics)\n   511→\t}\n   512→\tif resolution == nil {\n   513→\t\tif config.Keys.EnableResampling != nil {\n   514→\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n   515→\t\t\tresolution = &defaultRes\n   516→\t\t} else {\n   517→\t\t\tdefaultRes := 0\n   518→\t\t\tresolution = &defaultRes\n   519→\t\t}\n   520→\t}\n   521→\n   522→\talgoName := resolveResampleAlgo(ctx, resampleAlgo)\n   523→\n   524→\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution, algoName)\n   525→\tif err != nil {\n   526→\t\tcclog.Warn(\"Error while loading job data\")\n   527→\t\treturn nil, err\n   528→\t}\n   529→\n   530→\tres := []*model.JobMetricWithName{}\n   531→\tfor name, md := range data {\n   532→\t\tfor scope, metric := range md {\n   533→\t\t\tres = append(res, &model.JobMetricWithName{\n   534→\t\t\t\tName:   name,\n   535→\t\t\t\tScope:  scope,\n   536→\t\t\t\tMetric: metric,\n   537→\t\t\t})\n   538→\t\t}\n   539→\t}\n   540→\n   541→\treturn res, err\n   542→}\n   543→\n   544→// JobStats is the resolver for the jobStats field.\n   545→func (r *queryResolver) JobStats(ctx context.Context, id string, metrics []string) ([]*model.NamedStats, error) {\n   546→\tjob, err := r.Query().Job(ctx, id)\n   547→\tif err != nil {\n   548→\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n   549→\t\treturn nil, err\n   550→\t}\n   551→\n   552→\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n   553→\tif err != nil {\n   554→\t\tcclog.Warnf(\"Error while loading jobStats data for job id %s\", id)\n   555→\t\treturn nil, err\n   556→\t}\n   557→\n   558→\tres := []*model.NamedStats{}\n   559→\tfor name, md := range data {\n   560→\t\tres = append(res, &model.NamedStats{\n   561→\t\t\tName: name,\n   562→\t\t\tData: &md,\n   563→\t\t})\n   564→\t}\n   565→\n   566→\treturn res, err\n   567→}\n   568→\n   569→// ScopedJobStats is the resolver for the scopedJobStats field.\n   570→func (r *queryResolver) ScopedJobStats(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope) ([]*model.NamedStatsWithScope, error) {\n   571→\tjob, err := r.Query().Job(ctx, id)\n   572→\tif err != nil {\n   573→\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n   574→\t\treturn nil, err\n   575→\t}\n   576→\n   577→\tdata, err := metricdispatch.LoadScopedJobStats(job, metrics, scopes, ctx)\n   578→\tif err != nil {\n   579→\t\tcclog.Warnf(\"Error while loading scopedJobStats data for job id %s\", id)\n   580→\t\treturn nil, err\n   581→\t}\n   582→\n   583→\tres := make([]*model.NamedStatsWithScope, 0)\n   584→\tfor name, scoped := range data {\n   585→\t\tfor scope, stats := range scoped {\n   586→\n   587→\t\t\tmdlStats := make([]*model.ScopedStats, 0)\n   588→\t\t\tfor _, stat := range stats {\n   589→\t\t\t\tmdlStats = append(mdlStats, &model.ScopedStats{\n   590→\t\t\t\t\tHostname: stat.Hostname,\n   591→\t\t\t\t\tID:       stat.ID,\n   592→\t\t\t\t\tData:     stat.Data,\n   593→\t\t\t\t})\n   594→\t\t\t}\n   595→\n   596→\t\t\tres = append(res, &model.NamedStatsWithScope{\n   597→\t\t\t\tName:  name,\n   598→\t\t\t\tScope: scope,\n   599→\t\t\t\tStats: mdlStats,\n   600→\t\t\t})"}]},"uuid":"836b2e38-3f03-4dcf-afea-06b4bdf70886","timestamp":"2026-03-20T06:20:07.991Z"},"type":"agent_progress","prompt":"","agentId":"a94d541086ef2e733"},"toolUseID":"agent_msg_01KkzdazjB6DcKN6KmbtGTKq","parentToolUseID":"toolu_018fSdSLwvUuC9yLt4j7CLXd","uuid":"c1cb107f-412c-4dd7-bfc7-dc0a60c8e6a6","timestamp":"2026-03-20T06:20:07.992Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"1c4679e6-cce8-4ebf-9565-e236827367c9","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016PuPYjK5qpr7jxSRGwD3aM","type":"tool_result","content":"   881→func (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int, resampleAlgo *model.ResampleAlgo) (*model.NodesResultList, error) {\n   882→\t// Resolve resolution: explicit param > user policy > global config > 0\n   883→\tduration := int64(to.Sub(from).Seconds())\n   884→\tif resolution == nil {\n   885→\t\tresolution = resolveResolutionFromPolicy(ctx, duration, cluster, metrics)\n   886→\t}\n   887→\tif resolution == nil {\n   888→\t\tif config.Keys.EnableResampling != nil {\n   889→\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n   890→\t\t\tresolution = &defaultRes\n   891→\t\t} else {\n   892→\t\t\tdefaultRes := 0\n   893→\t\t\tresolution = &defaultRes\n   894→\t\t}\n   895→\t}\n   896→\n   897→\tuser := repository.GetUserFromContext(ctx)\n   898→\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n   899→\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n   900→\t}\n   901→\n   902→\tnodeRepo := repository.GetNodeRepository()\n   903→\t// nodes -> array hostname\n   904→\tnodes, nodeStateMap, metricHealthMap, countNodes, hasNextPage, nerr := nodeRepo.GetNodesForList(ctx, cluster, subCluster, stateFilter, nodeFilter, page)\n   905→\tif nerr != nil {\n   906→\t\treturn nil, errors.New(\"could not retrieve node list required for resolving NodeMetricsList\")\n   907→\t}\n   908→\n   909→\tif metrics == nil {\n   910→\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n   911→\t\t\tmetrics = append(metrics, mc.Name)\n   912→\t\t}\n   913→\t}\n   914→\n   915→\talgoName := resolveResampleAlgo(ctx, resampleAlgo)\n   916→\n   917→\t// data -> map hostname:jobdata\n   918→\tdata, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx, algoName)\n   919→\tif err != nil {\n   920→\t\tcclog.Warn(\"error while loading node data (Resolver.NodeMetricsList\")\n   921→\t\treturn nil, err\n   922→\t}\n   923→\n   924→\tnodeMetricsList := make([]*model.NodeMetrics, 0, len(data))\n   925→\tfor _, hostname := range nodes {\n   926→\t\thost := &model.NodeMetrics{\n   927→\t\t\tHost:         hostname,\n   928→\t\t\tNodeState:    nodeStateMap[hostname],\n   929→\t\t\tMetricHealth: metricHealthMap[hostname],\n   930→\t\t\tMetrics:      make([]*model.JobMetricWithName, 0),\n   931→\t\t}\n   932→\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n   933→\t\tif err != nil {\n   934→\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n   935→\t\t}\n   936→\n   937→\t\tfor metric, scopedMetrics := range data[hostname] {\n   938→\t\t\tfor scope, scopedMetric := range scopedMetrics {\n   939→\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n   940→\t\t\t\t\tName:   metric,\n   941→\t\t\t\t\tScope:  scope,\n   942→\t\t\t\t\tMetric: scopedMetric,\n   943→\t\t\t\t})\n   944→\t\t\t}\n   945→\t\t}\n   946→\n   947→\t\tnodeMetricsList = append(nodeMetricsList, host)\n   948→\t}\n   949→\n   950→\tnodeMetricsListResult := &model.NodesResultList{\n   951→\t\tItems: nodeMetricsList,\n   952→\t\t// TotalNodes depends on sum of nodes grouped on latest timestamp, see repo/node.go:357\n   953→\t\tTotalNodes:  &countNodes,\n   954→\t\tHasNextPage: &hasNextPage,\n   955→\t}\n   956→\n   957→\treturn nodeMetricsListResult, nil\n   958→}\n   959→\n   960→// ClusterMetrics is the resolver for the clusterMetrics field.\n   961→func (r *queryResolver) ClusterMetrics(ctx context.Context, cluster string, metrics []string, from time.Time, to time.Time) (*model.ClusterMetrics, error) {\n   962→\tuser := repository.GetUserFromContext(ctx)\n   963→\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n   964→\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n   965→\t}\n   966→\n   967→\tif metrics == nil {\n   968→\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n   969→\t\t\tmetrics = append(metrics, mc.Name)\n   970→\t\t}\n   971→\t}\n   972→\n   973→\t// 'nodes' == nil -> Defaults to all nodes of cluster for existing query workflow\n   974→\tscopes := []schema.MetricScope{\"node\"}\n   975→\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nil, scopes, from, to, ctx)\n   976→\tif err != nil {\n   977→\t\tcclog.Warn(\"error while loading node data\")\n   978→\t\treturn nil, err\n   979→\t}\n   980→"}]},"uuid":"1d071d45-912a-47a3-95f7-55ca8eb0f1ed","timestamp":"2026-03-20T06:20:09.597Z"},"type":"agent_progress","prompt":"","agentId":"a94d541086ef2e733"},"toolUseID":"agent_msg_01KkzdazjB6DcKN6KmbtGTKq","parentToolUseID":"toolu_018fSdSLwvUuC9yLt4j7CLXd","uuid":"acfb1fc6-ed2e-4630-84ae-c630eccfbd34","timestamp":"2026-03-20T06:20:09.598Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"3e7d1b9e-b40a-4b5c-811a-7ff70142be7d","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GxfitVYJEUJWowBHm4ehTn","type":"tool_result","content":"     1→<!--\n     2→  @component Plot render option selection for users\n     3→\n     4→  Properties:\n     5→  - `config Object`: Current cc-config\n     6→  - `message Object`: Message to display on success or error [Bindable]\n     7→  - `displayMessage Bool`: If to display message content [Bindable]\n     8→  - `updateSetting Func`: The callback function to apply current option selection\n     9→-->\n    10→\n    11→<script>\n    12→  import {\n    13→    Button,\n    14→    Row,\n    15→    Col,\n    16→    Card,\n    17→    CardTitle,\n    18→  } from \"@sveltestrap/sveltestrap\";\n    19→  import { getContext } from \"svelte\";\n    20→  import { fade } from \"svelte/transition\";\n    21→\n    22→  /* Svelte 5 Props */\n    23→  let {\n    24→    config,\n    25→    message = $bindable(),\n    26→    displayMessage = $bindable(),\n    27→    updateSetting\n    28→  } = $props();\n    29→\n    30→  const resampleConfig = getContext(\"resampling\");\n    31→</script>\n    32→\n    33→<Row cols={3} class=\"p-2 g-2\">\n    34→  <!-- LINE WIDTH -->\n    35→  <Col>\n    36→    <Card class=\"h-100\">\n    37→      <form\n    38→        id=\"line-width-form\"\n    39→        method=\"post\"\n    40→        action=\"/frontend/configuration/\"\n    41→        class=\"card-body\"\n    42→        onsubmit={(e) => updateSetting(e, {\n    43→          selector: \"#line-width-form\",\n    44→          target: \"lw\",\n    45→        })}\n    46→      >\n    47→        <!-- Svelte 'class' directive only on DOMs directly, normal 'class=\"xxx\"' does not work, so style-array it is. -->\n    48→        <CardTitle\n    49→          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n    50→        >\n    51→          <div>Line Width</div>\n    52→          <!-- Expand If-Clause for clarity once -->\n    53→          {#if displayMessage && message.target == \"lw\"}\n    54→            <div style=\"margin-left: auto; font-size: 0.9em;\">\n    55→              <code style=\"color: {message.color};\" out:fade>\n    56→                Update: {message.msg}\n    57→              </code>\n    58→            </div>\n    59→          {/if}\n    60→        </CardTitle>\n    61→        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_lineWidth\" />\n    62→        <div class=\"mb-3\">\n    63→          <label for=\"value\" class=\"form-label\">Line Width</label>\n    64→          <input\n    65→            type=\"number\"\n    66→            class=\"form-control\"\n    67→            id=\"lwvalue\"\n    68→            name=\"value\"\n    69→            aria-describedby=\"lineWidthHelp\"\n    70→            value={config?.plotConfiguration_lineWidth}\n    71→            min=\"1\"\n    72→          />\n    73→          <div id=\"lineWidthHelp\" class=\"form-text\">\n    74→            Width of the lines in the timeseries plots.\n    75→          </div>\n    76→        </div>\n    77→        <Button color=\"primary\" type=\"submit\">Submit</Button>\n    78→      </form>\n    79→    </Card>\n    80→  </Col>\n    81→\n    82→  <!-- PLOTS PER ROW -->\n    83→  <Col>\n    84→    <Card class=\"h-100\">\n    85→      <form\n    86→        id=\"plots-per-row-form\"\n    87→        method=\"post\"\n    88→        action=\"/frontend/configuration/\"\n    89→        class=\"card-body\"\n    90→        onsubmit={(e) => updateSetting(e, {\n    91→          selector: \"#plots-per-row-form\",\n    92→          target: \"ppr\",\n    93→        })}\n    94→      >\n    95→        <!-- Svelte 'class' directive only on DOMs directly, normal 'class=\"xxx\"' does not work, so style-array it is. -->\n    96→        <CardTitle\n    97→          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n    98→        >\n    99→          <div>Plots per Row</div>\n   100→          {#if displayMessage && message.target == \"ppr\"}\n   101→            <div style=\"margin-left: auto; font-size: 0.9em;\">\n   102→              <code style=\"color: {message.color};\" out:fade>\n   103→                Update: {message.msg}\n   104→              </code>\n   105→            </div>\n   106→          {/if}\n   107→        </CardTitle>\n   108→        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_plotsPerRow\" />\n   109→        <div class=\"mb-3\">\n   110→          <label for=\"value\" class=\"form-label\">Plots per Row</label>\n   111→          <input\n   112→            type=\"number\"\n   113→            class=\"form-control\"\n   114→            id=\"pprvalue\"\n   115→            name=\"value\"\n   116→            aria-describedby=\"plotsperrowHelp\"\n   117→            value={config?.plotConfiguration_plotsPerRow}\n   118→            min=\"1\"\n   119→          />\n   120→          <div id=\"plotsperrowHelp\" class=\"form-text\">\n   121→            How many plots to show next to each other on pages such as\n   122→            /monitoring/job/, /monitoring/system/...\n   123→          </div>\n   124→        </div>\n   125→        <Button color=\"primary\" type=\"submit\">Submit</Button>\n   126→      </form>\n   127→    </Card>\n   128→  </Col>\n   129→\n   130→  <!-- BACKGROUND -->\n   131→  <Col class=\"d-flex justify-content-between\">\n   132→    <Card class=\"h-100\" style=\"width: 49%;\">\n   133→      <form\n   134→        id=\"backgrounds-form\"\n   135→        method=\"post\"\n   136→        action=\"/frontend/configuration/\"\n   137→        class=\"card-body\"\n   138→        onsubmit={(e) => updateSetting(e, {\n   139→          selector: \"#backgrounds-form\",\n   140→          target: \"bg\",\n   141→        })}\n   142→      >\n   143→        <!-- Svelte 'class' directive only on DOMs directly, normal 'class=\"xxx\"' does not work, so style-array it is. -->\n   144→        <CardTitle\n   145→          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n   146→        >\n   147→          <div>Colored Backgrounds</div>\n   148→          {#if displayMessage && message.target == \"bg\"}\n   149→            <div style=\"margin-left: auto; font-size: 0.9em;\">\n   150→              <code style=\"color: {message.color};\" out:fade>\n   151→                Update: {message.msg}\n   152→              </code>\n   153→            </div>\n   154→          {/if}\n   155→        </CardTitle>\n   156→        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_colorBackground\" />\n   157→        <div class=\"mb-3\">\n   158→          <div>\n   159→            {#if config?.plotConfiguration_colorBackground}\n   160→              <input type=\"radio\" id=\"colb-true-checked\" name=\"value\" value=\"true\" checked />\n   161→            {:else}\n   162→              <input type=\"radio\" id=\"colb-true\" name=\"value\" value=\"true\" />\n   163→            {/if}\n   164→            <label for=\"true\">Yes</label>\n   165→          </div>\n   166→          <div>\n   167→            {#if config?.plotConfiguration_colorBackground}\n   168→              <input type=\"radio\" id=\"colb-false\" name=\"value\" value=\"false\" />\n   169→            {:else}\n   170→              <input type=\"radio\" id=\"colb-false-checked\" name=\"value\" value=\"false\" checked />\n   171→            {/if}\n   172→            <label for=\"false\">No</label>\n   173→          </div>\n   174→        </div>\n   175→        <Button color=\"primary\" type=\"submit\">Submit</Button>\n   176→      </form>\n   177→    </Card>\n   178→    <Card class=\"h-100\" style=\"width: 49%;\">\n   179→      <form\n   180→        id=\"colorblindmode-form\"\n   181→        method=\"post\"\n   182→        action=\"/frontend/configuration/\"\n   183→        class=\"card-body\"\n   184→        onsubmit={(e) => updateSetting(e, {\n   185→          selector: \"#colorblindmode-form\",\n   186→          target: \"cbm\",\n   187→        })}\n   188→      >\n   189→        <!-- Svelte 'class' directive only on DOMs directly, normal 'class=\"xxx\"' does not work, so style-array it is. -->\n   190→        <CardTitle\n   191→          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n   192→        >\n   193→          <div>Color Blind Mode</div>\n   194→          {#if displayMessage && message.target == \"cbm\"}\n   195→            <div style=\"margin-left: auto; font-size: 0.9em;\">\n   196→              <code style=\"color: {message.color};\" out:fade>\n   197→                Update: {message.msg}\n   198→              </code>\n   199→            </div>\n   200→          {/if}\n   201→        </CardTitle>\n   202→        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_colorblindMode\" />\n   203→        <div class=\"mb-3\">\n   204→          <div>\n   205→            {#if config?.plotConfiguration_colorblindMode}\n   206→              <input type=\"radio\" id=\"cbm-true-checked\" name=\"value\" value=\"true\" checked />\n   207→            {:else}\n   208→              <input type=\"radio\" id=\"cbm-true\" name=\"value\" value=\"true\" />\n   209→            {/if}\n   210→            <label for=\"true\">Yes</label>\n   211→          </div>\n   212→          <div>\n   213→            {#if config?.plotConfiguration_colorblindMode}\n   214→              <input type=\"radio\" id=\"cbm-false\" name=\"value\" value=\"false\" />\n   215→            {:else}\n   216→              <input type=\"radio\" id=\"cbm-false-checked\" name=\"value\" value=\"false\" checked />\n   217→            {/if}\n   218→            <label for=\"false\">No</label>\n   219→          </div>\n   220→        </div>\n   221→        <Button color=\"primary\" type=\"submit\">Submit</Button>\n   222→      </form>\n   223→    </Card>\n   224→  </Col>\n   225→\n   226→  <!-- RESAMPLE POLICY -->\n   227→  <Col>\n   228→    <Card class=\"h-100\">\n   229→      <form\n   230→        id=\"resample-policy-form\"\n   231→        method=\"post\"\n   232→        action=\"/frontend/configuration/\"\n   233→        class=\"card-body\"\n   234→        onsubmit={(e) => updateSetting(e, {\n   235→          selector: \"#resample-policy-form\",\n   236→          target: \"rsp\",\n   237→        })}\n   238→      >\n   239→        <CardTitle\n   240→          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n   241→        >\n   242→          <div>Resample Policy</div>\n   243→          {#if displayMessage && message.target == \"rsp\"}\n   244→            <div style=\"margin-left: auto; font-size: 0.9em;\">\n   245→              <code style=\"color: {message.color};\" out:fade>\n   246→                Update: {message.msg}\n   247→              </code>\n   248→            </div>\n   249→          {/if}\n   250→        </CardTitle>\n   251→        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_resamplePolicy\" />\n   252→        <div class=\"mb-3\">\n   253→          {#each [[\"\", \"Default\"], [\"low\", \"Low\"], [\"medium\", \"Medium\"], [\"high\", \"High\"]] as [val, label]}\n   254→            <div>\n   255→              <input type=\"radio\" id=\"rsp-{val || 'default'}\" name=\"value\" value={JSON.stringify(val)}\n   256→                checked={(!config?.plotConfiguration_resamplePolicy && val === \"\") || config?.plotConfiguration_resamplePolicy === val} />\n   257→              <label for=\"rsp-{val || 'default'}\">{label}</label>\n   258→            </div>\n   259→          {/each}\n   260→          <div id=\"resamplePolicyHelp\" class=\"form-text\">\n   261→            Controls how many data points are shown in metric plots. Low = fast overview (~200 points), Medium = balanced (~500), High = maximum detail (~1000).\n   262→          </div>\n   263→        </div>\n   264→        <Button color=\"primary\" type=\"submit\">Submit</Button>\n   265→      </form>\n   266→    </Card>\n   267→  </Col>\n   268→\n   269→  <!-- RESAMPLE ALGORITHM -->\n   270→  <Col>\n   271→    <Card class=\"h-100\">\n   272→      <form\n   273→        id=\"resample-algo-form\"\n   274→        method=\"post\"\n   275→        action=\"/frontend/configuration/\"\n   276→        class=\"card-body\"\n   277→        onsubmit={(e) => updateSetting(e, {\n   278→          selector: \"#resample-algo-form\",\n   279→          target: \"rsa\",\n   280→        })}\n   281→      >\n   282→        <CardTitle\n   283→          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n   284→        >\n   285→          <div>Resample Algorithm</div>\n   286→          {#if displayMessage && message.target == \"rsa\"}\n   287→            <div style=\"margin-left: auto; font-size: 0.9em;\">\n   288→              <code style=\"color: {message.color};\" out:fade>\n   289→                Update: {message.msg}\n   290→              </code>\n   291→            </div>\n   292→          {/if}\n   293→        </CardTitle>\n   294→        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_resampleAlgo\" />\n   295→        <div class=\"mb-3\">\n   296→          {#each [[\"\", \"Default\"], [\"lttb\", \"LTTB\"], [\"average\", \"Average\"], [\"simple\", \"Simple\"]] as [val, label]}\n   297→            <div>\n   298→              <input type=\"radio\" id=\"rsa-{val || 'default'}\" name=\"value\" value={JSON.stringify(val)}\n   299→                checked={(!config?.plotConfiguration_resampleAlgo && val === \"\") || config?.plotConfiguration_resampleAlgo === val} />\n   300→              <label for=\"rsa-{val || 'default'}\">{label}</label>\n   301→            </div>\n   302→          {/each}\n   303→          <div id=\"resampleAlgoHelp\" class=\"form-text\">\n   304→            Algorithm used when downsampling time-series data. LTTB preserves visual shape, Average smooths data, Simple picks every Nth point.\n   305→          </div>\n   306→        </div>\n   307→        <Button color=\"primary\" type=\"submit\">Submit</Button>\n   308→      </form>\n   309→    </Card>\n   310→  </Col>\n   311→</Row>"}]},"uuid":"bb274cba-20d3-46be-87fd-1693bf24e34e","timestamp":"2026-03-20T06:20:11.275Z"},"type":"agent_progress","prompt":"","agentId":"a94d541086ef2e733"},"toolUseID":"agent_msg_01KkzdazjB6DcKN6KmbtGTKq","parentToolUseID":"toolu_018fSdSLwvUuC9yLt4j7CLXd","uuid":"a22013dc-f97e-4e7d-81c1-f948906e1d34","timestamp":"2026-03-20T06:20:11.281Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"8c7d0ffb-6486-4bf7-8465-39718ab57c73","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XN2ZgpCK8g7Gk5cm8WiQSP","type":"tool_result","content":"    70→  let uplot = $state(null);\n    71→\n    72→  /* Derived */\n    73→  const subClusterTopology = $derived(getContext(\"getHardwareTopology\")(cluster, subCluster));\n    74→  const metricConfig = $derived(getContext(\"getMetricConfig\")(cluster, subCluster, metric));\n    75→  const usesMeanStatsSeries = $derived((statisticsSeries?.mean && statisticsSeries.mean.length != 0));\n    76→  const resampleTrigger = $derived(resampleConfig?.trigger ? Number(resampleConfig.trigger) : (resampleConfig?.targetPoints ? Math.floor(resampleConfig.targetPoints / 4) : null));\n    77→  const resampleResolutions = $derived(resampleConfig?.resolutions ? [...resampleConfig.resolutions] : null);\n    78→  const resampleMinimum = $derived(resampleConfig?.resolutions ? Math.min(...resampleConfig.resolutions) : null);\n    79→  const resampleTargetPoints = $derived(resampleConfig?.targetPoints ? Number(resampleConfig.targetPoints) : null);\n    80→  const useStatsSeries = $derived(!!statisticsSeries); // Display Stats Series By Default if Exists\n    81→  const thresholds = $derived(findJobAggregationThresholds(\n    82→    subClusterTopology,\n    83→    metricConfig,\n    84→    scope\n    85→  ));\n    86→  const longestSeries = $derived.by(() => {\n    87→    if (useStatsSeries) {\n    88→      return usesMeanStatsSeries ? statisticsSeries?.mean?.length : statisticsSeries?.median?.length;\n    89→    } else {\n    90→      return series.reduce((n, series) => Math.max(n, series.data.length), 0);\n    91→    }\n    92→  });\n    93→  const maxX = $derived(longestSeries * timestep);\n    94→  const maxY = $derived.by(() => {\n    95→    let pendingY = 0;\n    96→    if (useStatsSeries) {\n    97→      pendingY = statisticsSeries.max.reduce(\n    98→        (max, x) => Math.max(max, x),\n    99→        thresholds?.normal,\n   100→      ) || thresholds?.normal\n   101→    } else { \n   102→      pendingY = series.reduce(\n   103→          (max, series) => Math.max(max, series?.statistics?.max),\n   104→          thresholds?.normal,\n   105→        ) || thresholds?.normal;\n   106→    }\n   107→\n   108→    if (pendingY >= 10 * thresholds.peak) {\n   109→      // Hard y-range render limit if outliers in series data\n   110→      return (10 * thresholds.peak);\n   111→    } else {\n   112→      return pendingY;\n   113→    }\n   114→  });\n   115→  const plotBands = $derived.by(() => {\n   116→    if (useStatsSeries) {\n   117→      return [\n   118→        { series: [2, 3], fill: cbmode ? \"rgba(0,0,255,0.1)\" : \"rgba(0,255,0,0.1)\" },\n   119→        { series: [3, 1], fill: cbmode ? \"rgba(0,255,0,0.1)\" : \"rgba(255,0,0,0.1)\" },\n   120→      ];\n   121→    };\n   122→    return null;\n   123→  })\n   124→  const plotData = $derived.by(() => {\n   125→    let pendingData = [new Array(longestSeries)];\n   126→    // X\n   127→    if (forNode === true) {\n   128→      // Negative Timestamp Buildup\n   129→      for (let i = 0; i <= longestSeries; i++) {\n   130→        pendingData[0][i] = (longestSeries - i) * timestep * -1;\n   131→      }\n   132→    } else {\n   133→      // Positive Timestamp Buildup\n   134→      for (let j = 0; j < longestSeries; j++) {\n   135→        pendingData[0][j] = j * timestep;\n   136→      };\n   137→    };\n   138→    // Y\n   139→    if (useStatsSeries) {\n   140→      pendingData.push(statisticsSeries.min);\n   141→      pendingData.push(statisticsSeries.max);\n   142→      if (usesMeanStatsSeries) {\n   143→        pendingData.push(statisticsSeries.mean);\n   144→      } else {\n   145→        pendingData.push(statisticsSeries.median);\n   146→      }\n   147→\n   148→    } else {\n   149→      for (let i = 0; i < series.length; i++) {\n   150→        pendingData.push(series[i].data);\n   151→      };\n   152→    };\n   153→    return pendingData;\n   154→  })\n   155→  const plotSeries = $derived.by(() => {\n   156→    let pendingSeries = [\n   157→      // Note: X-Legend Will not be shown as soon as Y-Axis are in extendedMode\n   158→      {\n   159→        label: \"Runtime\",\n   160→        value: (u, ts, sidx, didx) =>\n   161→        (didx == null) ? null : formatDurationTime(ts, forNode),\n   162→      }\n   163→    ];\n   164→    // Y\n   165→    if (useStatsSeries) {\n   166→      pendingSeries.push({\n   167→        label: \"min\",\n   168→        scale: \"y\",\n   169→        width: lineWidth,\n   170→        stroke: cbmode ? \"rgb(0,255,0)\" : \"red\",\n   171→      });\n   172→      pendingSeries.push({\n   173→        label: \"max\",\n   174→        scale: \"y\",\n   175→        width: lineWidth,\n   176→        stroke: cbmode ? \"rgb(0,0,255)\" : \"green\",\n   177→      });\n   178→      pendingSeries.push({\n   179→        label: usesMeanStatsSeries ? \"mean\" : \"median\",\n   180→        scale: \"y\",\n   181→        width: lineWidth,\n   182→        stroke: \"black\",\n   183→      });\n   184→\n   185→    } else {\n   186→      for (let i = 0; i < series?.length; i++) {\n   187→        // Default\n   188→        if (!extendedLegendData) {\n   189→          pendingSeries.push({\n   190→            label: \n   191→              scope === \"node\"\n   192→              ? series[i].hostname\n   193→              : scope === \"accelerator\"\n   194→                ? 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curr : prev);\n   531→                  });\n   532→                }\n   533→                // Prevents non-required dispatches\n   534→                if (newRes && timestep !== newRes) {\n   535→                  onZoom({\n   536→                    newRes: newRes,\n   537→                    lastZoomState: u?.scales,\n   538→                    lastThreshold: thresholds?.normal\n   539→                  });\n   540→                }\n   541→              } else {\n   542→                onZoom({\n   543→                  lastZoomState: u?.scales,\n   544→                  lastThreshold: thresholds?.normal\n   545→                });\n   546→              };\n   547→            };\n   548→          },\n   549→        ]\n   550→      },\n   551→      scales: {\n   552→        x: { time: false },\n   553→        y: maxY ? { min: 0, max: (maxY * 1.1) } : {auto: true}, // Add some space to upper render limit\n   554→      },\n   555→      legend: {\n   556→        // Display legend until max 12 Y-dataseries\n   557→        show: series.length <= 12 || useStatsSeries,\n   558→        live: series.length <= 12 || useStatsSeries,\n   559→      },\n   560→      cursor: { \n   561→        drag: { x: true, y: true },\n   562→      }\n   563→    };\n   564→\n   565→    // Handle Render\n   566→    if (!uplot) {\n   567→      opts.width = ren_width;\n   568→      opts.height = ren_height;\n   569→      \n   570→      if (plotSync) {\n   571→        opts.cursor.sync = { \n   572→          key: plotSync.key,\n   573→          scales: [\"x\", null],\n   574→        }\n   575→      }\n   576→\n   577→      if (zoomState && metricConfig?.aggregation == \"avg\") {\n   578→        opts.scales = {...zoomState}\n   579→      } else if (zoomState && metricConfig?.aggregation == \"sum\") {\n   580→        // Allow Zoom In === Ymin changed\n   581→        if (zoomState.y.min !== 0) { // scope change?: only use zoomState if thresholds match\n   582→          if ((thresholdState === thresholds?.normal)) { opts.scales = {...zoomState} };\n   583→        } // else: reset scaling to default\n   584→      }\n   585→\n   586→      uplot = new uPlot(opts, plotData, plotWrapper);\n   587→    } else {\n   588→      uplot.setSize({ width: ren_width, height: ren_height });\n   589→    }\n   590→  }\n   591→\n   592→  function onSizeChange(chg_width, chg_height) {\n   593→    if (!uplot) return;\n   594→    if (timeoutId != null) clearTimeout(timeoutId);\n   595→    timeoutId = setTimeout(() => {\n   596→      timeoutId = null;\n   597→      render(chg_width, chg_height);\n   598→    }, renderSleepTime);\n   599→  }\n   600→\n   601→  /* On Mount */\n   602→  onMount(() => {\n   603→    if (plotWrapper) {\n   604→      render(width, height);\n   605→    }\n   606→  });\n   607→\n   608→  /* On Destroy */\n   609→  onDestroy(() => {\n   610→    if (timeoutId != null) clearTimeout(timeoutId);\n   611→    if (uplot) uplot.destroy();\n   612→  });\n   613→\n   614→</script>"}]},"uuid":"2ed7432a-19f9-4cb1-8311-c3285b4bf935","timestamp":"2026-03-20T06:20:15.737Z"},"type":"agent_progress","prompt":"","agentId":"a94d541086ef2e733"},"toolUseID":"agent_msg_01KkzdazjB6DcKN6KmbtGTKq","parentToolUseID":"toolu_018fSdSLwvUuC9yLt4j7CLXd","uuid":"afab0a36-f5e3-4c42-aa5c-02fb4b19bee3","timestamp":"2026-03-20T06:20:15.741Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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i < len(v_.Series); i += 1 {\n   151→\t\t\t\t\t\tv_.Series[i].Data, timestep, err = resampleFn(v_.Series[i].Data, int64(v_.Timestep), int64(resolution))\n   152→\t\t\t\t\t\tif err != nil {\n   153→\t\t\t\t\t\t\treturn err, 0, 0\n   154→\t\t\t\t\t\t}\n   155→\t\t\t\t\t}\n   156→\t\t\t\t\tv_.Timestep = int(timestep)\n   157→\t\t\t\t}\n   158→\t\t\t}\n   159→\n   160→\t\t\t// Filter job data to only include requested metrics and scopes, avoiding unnecessary data transfer.\n   161→\t\t\tif metrics != nil || scopes != nil {\n   162→\t\t\t\tif metrics == nil {\n   163→\t\t\t\t\tmetrics = make([]string, 0, len(jd))\n   164→\t\t\t\t\tfor k := range jd {\n   165→\t\t\t\t\t\tmetrics = append(metrics, k)\n   166→\t\t\t\t\t}\n   167→\t\t\t\t}\n   168→\n   169→\t\t\t\tres := schema.JobData{}\n   170→\t\t\t\tfor _, metric := range metrics {\n   171→\t\t\t\t\tif perscope, ok := jd[metric]; ok {\n   172→\t\t\t\t\t\tif len(perscope) > 1 {\n   173→\t\t\t\t\t\t\tsubset := make(map[schema.MetricScope]*schema.JobMetric)\n   174→\t\t\t\t\t\t\tfor _, scope := range scopes {\n   175→\t\t\t\t\t\t\t\tif jm, ok := perscope[scope]; 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+{"parentUuid":"19030b3e-4231-4b09-8069-53f8f2f0a1b8","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TMwVxMvZocGNT8jhFA931T","type":"tool_result","content":"     1→<!--\n     2→  @component Main single job display component; displays plots for every metric as well as various information\n     3→\n     4→  Properties:\n     5→  - `dbid Number`: The jobs DB ID\n     6→  - `username String`: Empty string if auth. is disabled, otherwise the username as string\n     7→  - `authlevel Number`: The current users authentication level\n     8→  - `roles [Number]`: Enum containing available roles\n     9→-->\n    10→\n    11→<script>\n    12→  import { getContext } from \"svelte\";\n    13→  import { \n    14→    queryStore,\n    15→    gql,\n    16→    getContextClient,\n    17→  } from \"@urql/svelte\";\n    18→  import {\n    19→    Row,\n    20→    Col,\n    21→    Card,\n    22→    Spinner,\n    23→    TabContent,\n    24→    TabPane,\n    25→    CardBody,\n    26→    CardHeader,\n    27→    CardTitle,\n    28→    Button,\n    29→  } from \"@sveltestrap/sveltestrap\";\n    30→  import {\n    31→    init,\n    32→    groupByScope,\n    33→    checkMetricAvailability,\n    34→  } from \"./generic/utils.js\";\n    35→  import Metric from \"./job/Metric.svelte\";\n    36→  import MetricSelection from \"./generic/select/MetricSelection.svelte\";\n    37→  import JobInfo from \"./generic/joblist/JobInfo.svelte\";\n    38→  import ConcurrentJobs from \"./generic/helper/ConcurrentJobs.svelte\";\n    39→  import JobSummary from \"./job/JobSummary.svelte\";\n    40→  import JobRoofline from \"./job/JobRoofline.svelte\";\n    41→  import EnergySummary from \"./job/EnergySummary.svelte\";\n    42→  import PlotGrid from \"./generic/PlotGrid.svelte\";\n    43→  import StatsTab from \"./job/StatsTab.svelte\";\n    44→\n    45→  /* Svelte 5 Props */\n    46→  let {\n    47→    dbid,\n    48→    username,\n    49→    authlevel,\n    50→    roles\n    51→  } = $props();\n    52→\n    53→  /* Const Init */\n    54→  // Important: init() needs to be first const declaration or contextclient will not be initialized before \"const client = ...\"\n    55→  // svelte-ignore state_referenced_locally\n    56→  const { query: initq } = init(`\n    57→    job(id: \"${dbid}\") {\n    58→      id, jobId, user, project, cluster, startTime,\n    59→      duration, numNodes, numHWThreads, numAcc, energy,\n    60→      SMT, shared, partition, subCluster, arrayJobId,\n    61→      monitoringStatus, state, walltime,\n    62→      tags { id, type, scope, name },\n    63→      resources { hostname, hwthreads, accelerators },\n    64→      metaData,\n    65→      userData { name, email },\n    66→      concurrentJobs { items { id, jobId }, count, listQuery },\n    67→      footprint { name, stat, value },\n    68→      energyFootprint { hardware, metric, value }\n    69→    }\n    70→  `);\n    71→  /* Note: Actual metric data queried in <Metric> Component, only require base infos here -> reduce backend load by requesting just stats */\n    72→  const client = getContextClient();\n    73→  const query = gql`\n    74→    query ($dbid: ID!, $selectedMetrics: [String!]!, $selectedScopes: [MetricScope!]!) {\n    75→      scopedJobStats(id: $dbid, metrics: $selectedMetrics, scopes: $selectedScopes) {\n    76→        name\n    77→        scope\n    78→        stats {\n    79→          hostname\n    80→        }\n    81→      }\n    82→    }\n    83→  `;\n    84→\n    85→  /* State Init */\n    86→  let plots = $state({});\n    87→  let isMetricsSelectionOpen = $state(false);\n    88→  let totalMetrics = $state(0);\n    89→\n    90→  /* Derived Init Return */\n    91→  const thisJob = $derived($initq?.data ? $initq.data.job : null);\n    92→\n    93→  /* Derived Settings */\n    94→  const globalMetrics = $derived(thisJob ? getContext(\"globalMetrics\") : null);\n    95→  const clusterInfo = $derived(thisJob ? getContext(\"clusters\") : null);\n    96→  const ccconfig = $derived(thisJob ? getContext(\"cc-config\") : null);\n    97→  const showRoofline = $derived(ccconfig ? !!ccconfig[`jobView_showRoofline`] : false);\n    98→  const showStatsTable = $derived(ccconfig ? !!ccconfig[`jobView_showStatTable`] : false);\n    99→  const showSummary = $derived(ccconfig ? (!!ccconfig[`jobView_showFootprint`] || !!ccconfig[`jobView_showPolarPlot`]) : false)\n   100→"}]},"uuid":"b2a8428c-e771-430a-a2ae-1ed7098f2215","timestamp":"2026-03-20T06:21:20.895Z"},"type":"agent_progress","prompt":"","agentId":"a94d541086ef2e733"},"toolUseID":"agent_msg_01KkzdazjB6DcKN6KmbtGTKq","parentToolUseID":"toolu_018fSdSLwvUuC9yLt4j7CLXd","uuid":"362e0760-8192-4d11-aa0b-76e47c41ba56","timestamp":"2026-03-20T06:21:20.895Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"021c2c6d-5384-4f06-9b3f-b08e7dcc32af","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01T4a2TLiNRkXVGCJwg6QbEv","type":"tool_result","content":"4:    setContextClient,\n7:import { setContext, getContext, hasContext, onDestroy, tick } from \"svelte\";\n41:    setContextClient(client);\n109:    setContext(\"tags\", tags);\n110:    setContext(\"clusters\", clusters);\n111:    setContext(\"globalMetrics\", globalMetrics);\n112:    setContext(\"getMetricConfig\", (cluster, subCluster, metric) => {\n121:    setContext(\"getHardwareTopology\", (cluster, subCluster) => {\n130:    setContext(\"on-init\", (callback) =>\n133:    setContext(","is_error":false}]},"uuid":"bbea0eb3-9ac0-4a98-b1e0-b569c85d54b9","timestamp":"2026-03-20T06:21:22.653Z"},"type":"agent_progress","prompt":"","agentId":"a94d541086ef2e733"},"toolUseID":"agent_msg_01KkzdazjB6DcKN6KmbtGTKq","parentToolUseID":"toolu_018fSdSLwvUuC9yLt4j7CLXd","uuid":"6fa3671f-4fe5-4748-b3b7-78702975026f","timestamp":"2026-03-20T06:21:22.653Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"ddc8a4e5-838f-49ea-a273-1afbf0cc912f","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TYJ8WvUiFSHeDmwTnahgS4","type":"tool_result","content":"     1→import { expiringCacheExchange } from \"./cache-exchange.js\";\n     2→import {\n     3→    Client,\n     4→    setContextClient,\n     5→    fetchExchange,\n     6→} from \"@urql/svelte\";\n     7→import { setContext, getContext, hasContext, onDestroy, tick } from \"svelte\";\n     8→import { readable } from \"svelte/store\";\n     9→import { round } from \"mathjs\";\n    10→\n    11→/*\n    12→ * Call this function only at component initialization time!\n    13→ *\n    14→ * It does several things:\n    15→ * - Initialize the GraphQL client\n    16→ * - Creates a readable store 'initialization' which indicates when the values below can be used.\n    17→ * - Adds 'tags' to the context (list of all tags)\n    18→ * - Adds 'clusters' to the context (object with cluster names as keys)\n    19→ * - Adds 'globalMetrics' to the context (list of globally available metric infos)\n    20→ * - Adds 'getMetricConfig' to the context, a function that takes a cluster, subCluster and metric name and returns the MetricConfig (or undefined)\n    21→ * - Adds 'getHardwareTopology' to the context, a function that takes a cluster nad subCluster and returns the subCluster topology (or undefined)\n    22→ */\n    23→export function init(extraInitQuery = \"\") {\n    24→    const jwt = hasContext(\"jwt\")\n    25→        ? getContext(\"jwt\")\n    26→        : getContext(\"cc-config\")[\"jwt\"];\n    27→\n    28→    const client = new Client({\n    29→        url: `${window.location.origin}/query`,\n    30→        fetchOptions:\n    31→            jwt != null ? { headers: { Authorization: `Bearer ${jwt}` } } : {},\n    32→        exchanges: [\n    33→            expiringCacheExchange({\n    34→                ttl: 5 * 60 * 1000,\n    35→                maxSize: 150,\n    36→            }),\n    37→            fetchExchange,\n    38→        ],\n    39→    });\n    40→\n    41→    setContextClient(client);\n    42→\n    43→    const query = client\n    44→        .query(\n    45→            `query {\n    46→        clusters {\n    47→            name\n    48→            partitions\n    49→            subClusters {\n    50→                name\n    51→                nodes\n    52→                numberOfNodes\n    53→                processorType\n    54→                socketsPerNode\n    55→                coresPerSocket\n    56→                threadsPerCore\n    57→                flopRateScalar { unit { base, prefix }, value }\n    58→                flopRateSimd { unit { base, prefix }, value }\n    59→                memoryBandwidth { unit { base, prefix }, value }\n    60→                topology {\n    61→                    node\n    62→                    socket\n    63→                    memoryDomain\n    64→                    core\n    65→                    accelerators { id }\n    66→                }\n    67→                metricConfig {\n    68→                    name\n    69→                    unit { base, prefix }\n    70→                    scope\n    71→                    aggregation\n    72→                    timestep\n    73→                    peak\n    74→                    normal\n    75→                    caution\n    76→                    alert\n    77→                    lowerIsBetter\n    78→                }\n    79→                footprint \n    80→            }\n    81→        }\n    82→        tags { id, name, type, scope }\n    83→        globalMetrics {\n    84→            name\n    85→            scope\n    86→            footprint\n    87→            unit { base, prefix }\n    88→            availability { cluster, subClusters }\n    89→        }\n    90→        ${extraInitQuery}\n    91→    }`\n    92→        )\n    93→        .toPromise();\n    94→\n    95→    let state = { fetching: true, error: null, data: null };\n    96→    let subscribers = [];\n    97→    const subscribe = (callback) => {\n    98→        callback(state);\n    99→        subscribers.push(callback);\n   100→        return () => {\n   101→            subscribers = subscribers.filter((cb) => cb != callback);\n   102→        };\n   103→    };\n   104→\n   105→    const tags = []\n   106→    const clusters = []\n   107→    const globalMetrics = []\n   108→\n   109→    setContext(\"tags\", tags);\n   110→    setContext(\"clusters\", clusters);\n   111→    setContext(\"globalMetrics\", globalMetrics);\n   112→    setContext(\"getMetricConfig\", (cluster, subCluster, metric) => {\n   113→        // Load objects if input is string\n   114→        if (typeof cluster !== \"object\")\n   115→            cluster = clusters.find((c) => c.name == cluster);\n   116→        if (typeof subCluster !== \"object\")\n   117→            subCluster = cluster.subClusters.find((sc) => sc.name == subCluster);\n   118→\n   119→        return subCluster.metricConfig.find((m) => m.name == metric);\n   120→    });\n   121→    setContext(\"getHardwareTopology\", (cluster, subCluster) => {\n   122→        // Load objects if input is string\n   123→        if (typeof cluster !== \"object\")\n   124→            cluster = clusters.find((c) => c.name == cluster);\n   125→        if (typeof subCluster !== \"object\")\n   126→            subCluster = cluster.subClusters.find((sc) => sc.name == subCluster);\n   127→\n   128→        return subCluster?.topology;\n   129→    });\n   130→    setContext(\"on-init\", (callback) =>\n   131→        state.fetching ? subscribers.push(callback) : callback(state)\n   132→    );\n   133→    setContext(\n   134→        \"initialized\",\n   135→        readable(false, (set) => subscribers.push(() => set(true)))\n   136→    );\n   137→\n   138→    query.then(({ error, data }) => {\n   139→        state.fetching = false;\n   140→        if (error != null) {\n   141→            console.error(error);\n   142→            state.error = error;\n   143→            tick().then(() => subscribers.forEach((cb) => cb(state)));\n   144→            return;\n   145→        }\n   146→\n   147→        for (let tag of data.tags) tags.push(tag);\n   148→        for (let cluster of data.clusters) clusters.push(cluster);\n   149→        for (let gm of data.globalMetrics) globalMetrics.push(gm);\n   150→\n   151→        // Unified Sort\n   152→        globalMetrics.sort((a, b) => a.name.localeCompare(b.name))\n   153→\n   154→        state.data = data;\n   155→        tick().then(() => subscribers.forEach((cb) => cb(state)));\n   156→    });\n   157→\n   158→    return {\n   159→        query: { subscribe },\n   160→        tags,\n   161→        clusters,\n   162→        globalMetrics\n   163→    };\n   164→}\n   165→\n   166→// Use https://developer.mozilla.org/en-US/docs/Web/API/structuredClone instead?\n   167→export function deepCopy(x) {\n   168→    return JSON.parse(JSON.stringify(x));\n   169→}\n   170→\n   171→function fuzzyMatch(term, string) {\n   172→    return string.toLowerCase().includes(term);\n   173→}\n   174→\n   175→// Use in filter() function to return only unique values\n   176→export function distinct(value, index, array) {\n   177→    return array.indexOf(value) === index;\n   178→}\n   179→\n   180→// Load Local Bool and Handle Scrambling of input string\n   181→export const scrambleNames = window.localStorage.getItem(\"cc-scramble-names\");\n   182→export const scramble = function (str) {\n   183→  if (str === \"-\") return str;\n   184→  else\n   185→    return [...str]\n   186→      .reduce((x, c, i) => x * 7 + c.charCodeAt(0) * i * 21, 5)\n   187→      .toString(32)\n   188→      .substr(0, 6);\n   189→};\n   190→\n   191→export function fuzzySearchTags(term, tags) {\n   192→    if (!tags) return [];\n   193→\n   194→    let results = [];\n   195→    let termparts = term\n   196→        .split(\":\")\n   197→        .map((s) => s.trim())\n   198→        .filter((s) => s.length > 0);\n   199→\n   200→    if (termparts.length == 0) {"}]},"uuid":"dfb77a01-7e74-4277-9723-f6d3be4765c5","timestamp":"2026-03-20T06:21:24.062Z"},"type":"agent_progress","prompt":"","agentId":"a94d541086ef2e733"},"toolUseID":"agent_msg_01KkzdazjB6DcKN6KmbtGTKq","parentToolUseID":"toolu_018fSdSLwvUuC9yLt4j7CLXd","uuid":"b4ddd62d-83a0-4717-99c4-1d349ca6980d","timestamp":"2026-03-20T06:21:24.063Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"481a8fc7-0ca3-4d24-a006-c75faae32363","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018fSdSLwvUuC9yLt4j7CLXd","type":"tool_result","content":[{"type":"text","text":"Perfect! Now I have all the information I need. Let me provide a comprehensive summary of the policy-based resampling approach.\n\n## Comprehensive Exploration: Policy-Based Resampling Approach\n\nI've traced through the complete flow of the policy-based resampling system. Here's what I found:\n\n### 1. Configuration Structure (config.json → Go Code)\n\n**File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go`**\n\nThe `ResampleConfig` struct now includes a new field:\n- `MinimumPoints`: int (minimum points before resampling triggers)\n- `Resolutions`: []int (array of target resolutions in seconds, e.g., [600, 300, 60])\n- `Trigger`: int (threshold for switching between resolution levels)\n- **`TargetPoints`: int (NEW - policy-derived target point count, set dynamically, NOT from config.json)**\n\nThe config.json mapping example from `configs/config.json`:\n```json\n\"resampling\": {\n  \"minimum-points\": 600,\n  \"trigger\": 180,\n  \"resolutions\": [240, 60]\n}\n```\n\n### 2. Resample Policy System\n\n**Files: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go` and `resamplepolicy_test.go`**\n\nDefines three policies with target point counts:\n- `ResamplePolicyLow` = 200 points\n- `ResamplePolicyMedium` = 500 points  \n- `ResamplePolicyHigh` = 1000 points\n\nKey function `ComputeResolution(duration, frequency, targetPoints)`:\n- Takes job/time-window duration, metric frequency (timestep in seconds), and target points\n- Returns optimal resolution in seconds that achieves the target point count\n- Formula: `resolution = ceil(duration / targetPoints) / frequency * frequency`\n- Returns 0 if data already at or below target points\n\nTest cases show examples:\n- 24h job @ 60s frequency, low policy (200 pts) → 480s resolution\n- 24h job @ 60s frequency, medium policy (500 pts) → 180s resolution\n- 24h job @ 60s frequency, high policy (1000 pts) → 120s resolution\n\n### 3. Backend: Resolution Resolution (GraphQL Resolvers)\n\n**File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/resample.go`**\n\nTwo key functions:\n\n**`resolveResolutionFromPolicy(ctx, duration, cluster, metrics)`:**\n- Checks if user has a resample policy set in UI config (`plotConfiguration_resamplePolicy`)\n- Converts policy string (\"low\", \"medium\", \"high\") to ResamplePolicy enum\n- Gets target points for that policy\n- Finds smallest metric frequency across requested metrics\n- Calls `ComputeResolution()` to calculate actual resolution\n- Returns computed resolution, or nil if no policy set\n\n**`resolveResampleAlgo(ctx, resampleAlgo)`:**\n- Checks explicit GraphQL parameter first\n- Falls back to user's `plotConfiguration_resampleAlgo` preference\n- Returns algorithm name (\"lttb\", \"average\", \"simple\") or empty string\n\n### 4. Backend: Metric Query Resolution (GraphQL Schema)\n\n**File: `/Users/jan/prg/ClusterCockpit/cc-backend/api/schema.graphqls`**\n\nNew enum added to schema:\n```graphql\nenum ResampleAlgo {\n  LTTB\n  AVERAGE\n  SIMPLE\n}\n```\n\nTwo queries accept resolution and resampling parameters:\n- `jobMetrics(id, metrics, scopes, resolution, resampleAlgo): [JobMetricWithName!]!`\n- `nodeMetricsList(..., resolution, resampleAlgo): NodesResultList!`\n\n### 5. Backend: GraphQL Resolver Implementation\n\n**File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go`**\n\n**`JobMetrics()` resolver (line 501):**\n```\nResolution priority: explicit param > user policy > global config > 0\n```\n- If `resolution == nil`, calls `resolveResolutionFromPolicy(ctx, job.Duration, job.Cluster, metrics)`\n- If still nil, falls back to max resolution from global config\n- Resolves resample algorithm via `resolveResampleAlgo(ctx, resampleAlgo)`\n- Passes both to `metricdispatch.LoadData(job, metrics, scopes, ctx, resolution, algoName)`\n\n**`NodeMetricsList()` resolver (line 881):**\n- Similar flow but computes duration from time range: `duration = to.Sub(from).Seconds()`\n- Same resolution resolution priority chain\n\n### 6. Backend: Routing & Page Context\n\n**File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/routerConfig/routes.go`**\n\n**Key function `resamplingForUser(conf)`:**\n- Takes user's UI config map\n- Checks for `plotConfiguration_resamplePolicy` key\n- If present and valid, extracts policy string\n- Creates policy-derived `ResampleConfig`:\n  - `TargetPoints`: from `TargetPointsForPolicy(policy)`\n  - `Trigger`: `targetPoints / 4`\n  - **NO** `Resolutions` array (policy-based uses dynamic computation)\n- Falls back to global `config.Keys.EnableResampling` if no policy set\n\nThis modified config is passed to frontend via `web.Page.Resampling`.\n\n### 7. Web Configuration\n\n**File: `/Users/jan/prg/ClusterCockpit/cc-backend/web/web.go`**\n\nNew fields added to `PlotConfiguration` struct:\n```go\nResampleAlgo    string   `json:\"resample-algo\"`\nResamplePolicy  string   `json:\"resample-policy\"`\n```\n\nThese map to UI defaults map:\n```go\nUIDefaultsMap[\"plotConfiguration_resampleAlgo\"] = UIDefaults.PlotConfiguration.ResampleAlgo\nUIDefaultsMap[\"plotConfiguration_resamplePolicy\"] = UIDefaults.PlotConfiguration.ResamplePolicy\n```\n\n### 8. Frontend: HTML Templates\n\n**File: `/Users/jan/prg/ClusterCockpit/cc-backend/web/templates/monitoring/job.tmpl`** (and similar files)\n\nResampling config injected as JavaScript global:\n```javascript\nconst resampleConfig = {{ .Resampling }};\n```\n\nThis makes it available to Svelte components via context retrieval.\n\n### 9. Frontend: Context Setup\n\n**File: `/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/generic/utils.js`**\n\nThe `init()` function does NOT set up \"resampling\" context. Instead, the resampling config is available globally as a JavaScript variable from the template.\n\n### 10. Frontend: Component Usage (Svelte)\n\n**File: `/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/generic/plots/MetricPlot.svelte`**\n\nComponents retrieve it via:\n```javascript\nconst resampleConfig = getContext(\"resampling\");\n```\n\nHowever, looking at the template injection, it seems the context must be set up by the root component. Key derived values:\n\n```javascript\nconst resampleTrigger = resampleConfig?.trigger ? Number(resampleConfig.trigger) : (resampleConfig?.targetPoints ? Math.floor(resampleConfig.targetPoints / 4) : null);\nconst resampleResolutions = resampleConfig?.resolutions ? [...resampleConfig.resolutions] : null;\nconst resampleMinimum = resampleConfig?.resolutions ? Math.min(...resampleConfig.resolutions) : null;\nconst resampleTargetPoints = resampleConfig?.targetPoints ? Number(resampleConfig.targetPoints) : null;\n```\n\n**Zoom handling logic (line 515):**\n- If policy-based (`resampleTargetPoints && !resampleResolutions`):\n  - Computes resolution dynamically: `visibleDuration / resampleTargetPoints / nativeTimestep`\n  - Rounds up to nearest multiple of native timestep\n  \n- If array-based (`resampleResolutions`):\n  - Finds closest pre-configured resolution\n\n### 11. Frontend: UI Configuration\n\n**File: `/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/config/user/PlotRenderOptions.svelte`**\n\nProvides two user-facing controls:\n\n**Resample Policy** (lines 226-267):\n- Radio buttons for: \"\", \"low\", \"medium\", \"high\"\n- Default = empty string\n- Posts to `/frontend/configuration/` with key `plotConfiguration_resamplePolicy`\n- Help text explains: \"Controls how many data points are shown in metric plots. Low = fast overview (~200 points), Medium = balanced (~500), High = maximum detail (~1000).\"\n\n**Resample Algorithm** (lines 269-310):\n- Radio buttons for: \"\", \"lttb\", \"average\", \"simple\"\n- Posts to `/frontend/configuration/` with key `plotConfiguration_resampleAlgo`\n- Help text: \"Algorithm used when downsampling time-series data. LTTB preserves visual shape, Average smooths data, Simple picks every Nth point.\"\n\nBoth only shown if `resamplingEnabled` (which checks if resampleConfig is set).\n\n### 12. Data Loading\n\n**File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go`**\n\n**`LoadData()` function (line 86):**\n- Takes `resolution int` and `resampleAlgo string` parameters\n- For archived data, uses `resampler.GetResampler(resampleAlgo)` to get the appropriate resampling function\n- Applies resampling to each data series:\n  ```\n  resampleFn(data, timestep, resolution) → (resampled_data, new_timestep, error)\n  ```\n\n## Summary: The Complete Flow\n\n```\nconfig.json \n  ↓ (parse via config.Init)\nconfig.Keys.EnableResampling \n  ↓ (in request handler)\nresamplingForUser(userConfig) \n  → checks plotConfiguration_resamplePolicy\n  → creates policy-derived ResampleConfig with TargetPoints + Trigger\n  ↓\nweb.Page.Resampling \n  ↓ (template injection)\nconst resampleConfig = {{ .Resampling }}\n  ↓\nFrontend components via getContext(\"resampling\")\n  ↓ (on zoom in MetricPlot)\nComputes new resolution dynamically:\n  newRes = ceil(visibleDuration / targetPoints / nativeTimestep) * nativeTimestep\n  ↓ (dispatches onZoom event)\nGraphQL jobMetrics query with new resolution + resampleAlgo\n  ↓\nresolveResolutionFromPolicy() + resolveResampleAlgo()\n  ↓\nmetricdispatch.LoadData(resolution, resampleAlgo)\n  ↓\nApplies resampler.GetResampler(algoName) to archived data\n  ↓\nReturns downsampled metric data\n```\n\n## Key Files\n\n1. `/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go` - ResampleConfig struct\n2. `/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go` - Policy definitions and computation\n3. `/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go` - Test cases\n4. `/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/resample.go` - Resolution resolution logic\n5. `/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go` - GraphQL resolver implementation\n6. `/Users/jan/prg/ClusterCockpit/cc-backend/internal/routerConfig/routes.go` - resamplingForUser() function\n7. `/Users/jan/prg/ClusterCockpit/cc-backend/api/schema.graphqls` - ResampleAlgo enum and query parameters\n8. `/Users/jan/prg/ClusterCockpit/cc-backend/web/web.go` - Page struct and UI config\n9. `/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/config/user/PlotRenderOptions.svelte` - User UI\n10. `/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/generic/plots/MetricPlot.svelte` - Dynamic resolution computation\n11. `/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/job/Metric.svelte` - Metric wrapper component\n12. `/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go` - Data loading and resampling"},{"type":"text","text":"agentId: a94d541086ef2e733 (use SendMessage with to: 'a94d541086ef2e733' to continue this agent)\n<usage>total_tokens: 77461\ntool_uses: 41\nduration_ms: 418529</usage>"}]}]},"uuid":"a8c1f5f2-6ad9-4230-9d97-10f283570a01","timestamp":"2026-03-20T06:21:59.043Z","toolUseResult":{"status":"completed","prompt":"Explore the policy-based resampling approach in this codebase. I need to understand:\n\n1. Look at the recent git commits, especially \"Replace explicit resampling config with policy based approach\" (commit 0069c86e) and \"Introduce average resampler support\" (c0d2d65f). Run `git show 0069c86e` and `git show c0d2d65f` to see the full diffs.\n\n2. Look at `internal/config/config.go` - specifically the `ResampleConfig` struct and how `EnableResampling` is used. How does the config.json `\"resampling\"` key map to the Go struct?\n\n3. Look at `web/web.go` - how is the resampling config passed to the frontend? What does the `Resampling` field in page data look like?\n\n4. Look at `internal/routerConfig/routes.go` - how is the resampling config used when rendering pages?\n\n5. Look at the GraphQL schema (`api/schema.graphqls`) and resolvers (`internal/graph/schema.resolvers.go`) for any resolution/resample parameters in queries like `jobMetrics` or similar.\n\n6. Look at how resolution is computed from policy - search for \"policy\" or \"targetPoints\" or \"TargetPoints\" in the codebase.\n\n7. Check `web/frontend/src/config/user/PlotRenderOptions.svelte` for the resample policy and algorithm UI options.\n\nBe very thorough - I need to understand the full flow from config.json -> Go config -> frontend context -> GraphQL query -> metric loading.","agentId":"a94d541086ef2e733","content":[{"type":"text","text":"Perfect! Now I have all the information I need. Let me provide a comprehensive summary of the policy-based resampling approach.\n\n## Comprehensive Exploration: Policy-Based Resampling Approach\n\nI've traced through the complete flow of the policy-based resampling system. Here's what I found:\n\n### 1. Configuration Structure (config.json → Go Code)\n\n**File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go`**\n\nThe `ResampleConfig` struct now includes a new field:\n- `MinimumPoints`: int (minimum points before resampling triggers)\n- `Resolutions`: []int (array of target resolutions in seconds, e.g., [600, 300, 60])\n- `Trigger`: int (threshold for switching between resolution levels)\n- **`TargetPoints`: int (NEW - policy-derived target point count, set dynamically, NOT from config.json)**\n\nThe config.json mapping example from `configs/config.json`:\n```json\n\"resampling\": {\n  \"minimum-points\": 600,\n  \"trigger\": 180,\n  \"resolutions\": [240, 60]\n}\n```\n\n### 2. Resample Policy System\n\n**Files: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go` and `resamplepolicy_test.go`**\n\nDefines three policies with target point counts:\n- `ResamplePolicyLow` = 200 points\n- `ResamplePolicyMedium` = 500 points  \n- `ResamplePolicyHigh` = 1000 points\n\nKey function `ComputeResolution(duration, frequency, targetPoints)`:\n- Takes job/time-window duration, metric frequency (timestep in seconds), and target points\n- Returns optimal resolution in seconds that achieves the target point count\n- Formula: `resolution = ceil(duration / targetPoints) / frequency * frequency`\n- Returns 0 if data already at or below target points\n\nTest cases show examples:\n- 24h job @ 60s frequency, low policy (200 pts) → 480s resolution\n- 24h job @ 60s frequency, medium policy (500 pts) → 180s resolution\n- 24h job @ 60s frequency, high policy (1000 pts) → 120s resolution\n\n### 3. Backend: Resolution Resolution (GraphQL Resolvers)\n\n**File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/resample.go`**\n\nTwo key functions:\n\n**`resolveResolutionFromPolicy(ctx, duration, cluster, metrics)`:**\n- Checks if user has a resample policy set in UI config (`plotConfiguration_resamplePolicy`)\n- Converts policy string (\"low\", \"medium\", \"high\") to ResamplePolicy enum\n- Gets target points for that policy\n- Finds smallest metric frequency across requested metrics\n- Calls `ComputeResolution()` to calculate actual resolution\n- Returns computed resolution, or nil if no policy set\n\n**`resolveResampleAlgo(ctx, resampleAlgo)`:**\n- Checks explicit GraphQL parameter first\n- Falls back to user's `plotConfiguration_resampleAlgo` preference\n- Returns algorithm name (\"lttb\", \"average\", \"simple\") or empty string\n\n### 4. Backend: Metric Query Resolution (GraphQL Schema)\n\n**File: `/Users/jan/prg/ClusterCockpit/cc-backend/api/schema.graphqls`**\n\nNew enum added to schema:\n```graphql\nenum ResampleAlgo {\n  LTTB\n  AVERAGE\n  SIMPLE\n}\n```\n\nTwo queries accept resolution and resampling parameters:\n- `jobMetrics(id, metrics, scopes, resolution, resampleAlgo): [JobMetricWithName!]!`\n- `nodeMetricsList(..., resolution, resampleAlgo): NodesResultList!`\n\n### 5. Backend: GraphQL Resolver Implementation\n\n**File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go`**\n\n**`JobMetrics()` resolver (line 501):**\n```\nResolution priority: explicit param > user policy > global config > 0\n```\n- If `resolution == nil`, calls `resolveResolutionFromPolicy(ctx, job.Duration, job.Cluster, metrics)`\n- If still nil, falls back to max resolution from global config\n- Resolves resample algorithm via `resolveResampleAlgo(ctx, resampleAlgo)`\n- Passes both to `metricdispatch.LoadData(job, metrics, scopes, ctx, resolution, algoName)`\n\n**`NodeMetricsList()` resolver (line 881):**\n- Similar flow but computes duration from time range: `duration = to.Sub(from).Seconds()`\n- Same resolution resolution priority chain\n\n### 6. Backend: Routing & Page Context\n\n**File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/routerConfig/routes.go`**\n\n**Key function `resamplingForUser(conf)`:**\n- Takes user's UI config map\n- Checks for `plotConfiguration_resamplePolicy` key\n- If present and valid, extracts policy string\n- Creates policy-derived `ResampleConfig`:\n  - `TargetPoints`: from `TargetPointsForPolicy(policy)`\n  - `Trigger`: `targetPoints / 4`\n  - **NO** `Resolutions` array (policy-based uses dynamic computation)\n- Falls back to global `config.Keys.EnableResampling` if no policy set\n\nThis modified config is passed to frontend via `web.Page.Resampling`.\n\n### 7. Web Configuration\n\n**File: `/Users/jan/prg/ClusterCockpit/cc-backend/web/web.go`**\n\nNew fields added to `PlotConfiguration` struct:\n```go\nResampleAlgo    string   `json:\"resample-algo\"`\nResamplePolicy  string   `json:\"resample-policy\"`\n```\n\nThese map to UI defaults map:\n```go\nUIDefaultsMap[\"plotConfiguration_resampleAlgo\"] = UIDefaults.PlotConfiguration.ResampleAlgo\nUIDefaultsMap[\"plotConfiguration_resamplePolicy\"] = UIDefaults.PlotConfiguration.ResamplePolicy\n```\n\n### 8. Frontend: HTML Templates\n\n**File: `/Users/jan/prg/ClusterCockpit/cc-backend/web/templates/monitoring/job.tmpl`** (and similar files)\n\nResampling config injected as JavaScript global:\n```javascript\nconst resampleConfig = {{ .Resampling }};\n```\n\nThis makes it available to Svelte components via context retrieval.\n\n### 9. Frontend: Context Setup\n\n**File: `/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/generic/utils.js`**\n\nThe `init()` function does NOT set up \"resampling\" context. Instead, the resampling config is available globally as a JavaScript variable from the template.\n\n### 10. Frontend: Component Usage (Svelte)\n\n**File: `/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/generic/plots/MetricPlot.svelte`**\n\nComponents retrieve it via:\n```javascript\nconst resampleConfig = getContext(\"resampling\");\n```\n\nHowever, looking at the template injection, it seems the context must be set up by the root component. Key derived values:\n\n```javascript\nconst resampleTrigger = resampleConfig?.trigger ? Number(resampleConfig.trigger) : (resampleConfig?.targetPoints ? Math.floor(resampleConfig.targetPoints / 4) : null);\nconst resampleResolutions = resampleConfig?.resolutions ? [...resampleConfig.resolutions] : null;\nconst resampleMinimum = resampleConfig?.resolutions ? Math.min(...resampleConfig.resolutions) : null;\nconst resampleTargetPoints = resampleConfig?.targetPoints ? Number(resampleConfig.targetPoints) : null;\n```\n\n**Zoom handling logic (line 515):**\n- If policy-based (`resampleTargetPoints && !resampleResolutions`):\n  - Computes resolution dynamically: `visibleDuration / resampleTargetPoints / nativeTimestep`\n  - Rounds up to nearest multiple of native timestep\n  \n- If array-based (`resampleResolutions`):\n  - Finds closest pre-configured resolution\n\n### 11. Frontend: UI Configuration\n\n**File: `/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/config/user/PlotRenderOptions.svelte`**\n\nProvides two user-facing controls:\n\n**Resample Policy** (lines 226-267):\n- Radio buttons for: \"\", \"low\", \"medium\", \"high\"\n- Default = empty string\n- Posts to `/frontend/configuration/` with key `plotConfiguration_resamplePolicy`\n- Help text explains: \"Controls how many data points are shown in metric plots. Low = fast overview (~200 points), Medium = balanced (~500), High = maximum detail (~1000).\"\n\n**Resample Algorithm** (lines 269-310):\n- Radio buttons for: \"\", \"lttb\", \"average\", \"simple\"\n- Posts to `/frontend/configuration/` with key `plotConfiguration_resampleAlgo`\n- Help text: \"Algorithm used when downsampling time-series data. LTTB preserves visual shape, Average smooths data, Simple picks every Nth point.\"\n\nBoth only shown if `resamplingEnabled` (which checks if resampleConfig is set).\n\n### 12. Data Loading\n\n**File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go`**\n\n**`LoadData()` function (line 86):**\n- Takes `resolution int` and `resampleAlgo string` parameters\n- For archived data, uses `resampler.GetResampler(resampleAlgo)` to get the appropriate resampling function\n- Applies resampling to each data series:\n  ```\n  resampleFn(data, timestep, resolution) → (resampled_data, new_timestep, error)\n  ```\n\n## Summary: The Complete Flow\n\n```\nconfig.json \n  ↓ (parse via config.Init)\nconfig.Keys.EnableResampling \n  ↓ (in request handler)\nresamplingForUser(userConfig) \n  → checks plotConfiguration_resamplePolicy\n  → creates policy-derived ResampleConfig with TargetPoints + Trigger\n  ↓\nweb.Page.Resampling \n  ↓ (template injection)\nconst resampleConfig = {{ .Resampling }}\n  ↓\nFrontend components via getContext(\"resampling\")\n  ↓ (on zoom in MetricPlot)\nComputes new resolution dynamically:\n  newRes = ceil(visibleDuration / targetPoints / nativeTimestep) * nativeTimestep\n  ↓ (dispatches onZoom event)\nGraphQL jobMetrics query with new resolution + resampleAlgo\n  ↓\nresolveResolutionFromPolicy() + resolveResampleAlgo()\n  ↓\nmetricdispatch.LoadData(resolution, resampleAlgo)\n  ↓\nApplies resampler.GetResampler(algoName) to archived data\n  ↓\nReturns downsampled metric data\n```\n\n## Key Files\n\n1. `/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go` - ResampleConfig struct\n2. `/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go` - Policy definitions and computation\n3. `/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go` - Test cases\n4. `/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/resample.go` - Resolution resolution logic\n5. `/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go` - GraphQL resolver implementation\n6. `/Users/jan/prg/ClusterCockpit/cc-backend/internal/routerConfig/routes.go` - resamplingForUser() function\n7. `/Users/jan/prg/ClusterCockpit/cc-backend/api/schema.graphqls` - ResampleAlgo enum and query parameters\n8. `/Users/jan/prg/ClusterCockpit/cc-backend/web/web.go` - Page struct and UI config\n9. `/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/config/user/PlotRenderOptions.svelte` - User UI\n10. `/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/generic/plots/MetricPlot.svelte` - Dynamic resolution computation\n11. `/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/job/Metric.svelte` - Metric wrapper component\n12. `/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go` - Data loading and resampling"}],"totalDurationMs":418529,"totalTokens":77461,"totalToolUseCount":41,"usage":{"input_tokens":0,"cache_creation_input_tokens":1109,"cache_read_input_tokens":73138,"output_tokens":3214,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1109},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"481a8fc7-0ca3-4d24-a006-c75faae32363","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"53b9591e-b6ac-4279-a199-af937e0821e9","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WmvtGYHvXLQbjTSBGDCm9u","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011JzguGhvu5W4BT2sAWJZu6","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go","offset":60,"limit":30},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3833,"cache_read_input_tokens":40124,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3833},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrH4dmzQBjyXyi3Q1oo","type":"assistant","uuid":"641dfb4b-702b-446b-bed1-4adcb7e1043d","timestamp":"2026-03-20T06:22:10.887Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"641dfb4b-702b-446b-bed1-4adcb7e1043d","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011JzguGhvu5W4BT2sAWJZu6","type":"tool_result","content":"    60→\tMachineStateDir string `json:\"machine-state-dir\"`\n    61→\n    62→\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n    63→\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n    64→\n    65→\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n    66→\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n    67→\n    68→\t// Energy Mix CO2 Emission Constant [g/kWh]\n    69→\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n    70→\tEmissionConstant int `json:\"emission-constant\"`\n    71→\n    72→\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n    73→\tEnableResampling *ResampleConfig `json:\"resampling\"`\n    74→\n    75→\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n    76→\tSystemdUnit string `json:\"systemd-unit\"`\n    77→\n    78→\t// Node state retention configuration\n    79→\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n    80→\n    81→\t// Database tuning configuration\n    82→\tDbConfig *DbConfig `json:\"db-config\"`\n    83→}\n    84→\n    85→type DbConfig struct {\n    86→\tCacheSizeMB               int `json:\"cache-size-mb\"`\n    87→\tSoftHeapLimitMB           int `json:\"soft-heap-limit-mb\"`\n    88→\tMaxOpenConnections        int `json:\"max-open-connections\"`\n    89→\tMaxIdleConnections        int `json:\"max-idle-connections\"`"}]},"uuid":"3d323dec-b58f-4d36-8590-b093bde9e6f7","timestamp":"2026-03-20T06:22:10.899Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go","content":"\tMachineStateDir string `json:\"machine-state-dir\"`\n\n\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n\n\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n\n\t// Energy Mix CO2 Emission Constant [g/kWh]\n\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n\tEmissionConstant int `json:\"emission-constant\"`\n\n\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n\tEnableResampling *ResampleConfig `json:\"resampling\"`\n\n\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n\tSystemdUnit string `json:\"systemd-unit\"`\n\n\t// Node state retention configuration\n\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n\n\t// Database tuning configuration\n\tDbConfig *DbConfig `json:\"db-config\"`\n}\n\ntype DbConfig struct {\n\tCacheSizeMB               int `json:\"cache-size-mb\"`\n\tSoftHeapLimitMB           int `json:\"soft-heap-limit-mb\"`\n\tMaxOpenConnections        int `json:\"max-open-connections\"`\n\tMaxIdleConnections        int `json:\"max-idle-connections\"`","numLines":30,"startLine":60,"totalLines":164}},"sourceToolAssistantUUID":"641dfb4b-702b-446b-bed1-4adcb7e1043d","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"d2532447-fc0a-4531-9484-eb433132f6e2","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01YXwNrB85V5QB6QX9eyxCmM","toolUseID":"toolu_01YXwNrB85V5QB6QX9eyxCmM","timestamp":"2026-03-20T06:22:11.427Z","uuid":"0c79154f-46ac-4c01-a4f3-b3ee5284a4e3","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"d2532447-fc0a-4531-9484-eb433132f6e2","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YXwNrB85V5QB6QX9eyxCmM","type":"tool_result","content":"   490→\n   491→\t\t\t// Get User -> What if NIL?\n   492→\t\t\tuser := repository.GetUserFromContext(r.Context())\n   493→\n   494→\t\t\t// Get Roles\n   495→\t\t\tavailableRoles, _ := schema.GetValidRolesMap(user)\n   496→\n   497→\t\t\tresampling := resamplingForUser(conf)\n   498→\n   499→\t\t\tpage := web.Page{\n   500→\t\t\t\tTitle:      title,\n   501→\t\t\t\tUser:       *user,\n   502→\t\t\t\tRoles:      availableRoles,\n   503→\t\t\t\tBuild:      buildInfo,\n   504→\t\t\t\tConfig:     conf,\n   505→\t\t\t\tResampling: resampling,\n   506→\t\t\t\tInfos:      infos,\n   507→\t\t\t}\n   508→\n   509→\t\t\tif route.Filter {\n   510→\t\t\t\tpage.FilterPresets = buildFilterPresets(r.URL.Query())\n   511→\t\t\t}\n   512→\n   513→\t\t\tweb.RenderTemplate(rw, route.Template, &page)\n   514→\t\t})\n   515→\t}\n   516→}\n   517→\n   518→func HandleSearchBar(rw http.ResponseWriter, r *http.Request, buildInfo web.Build) {\n   519→\tuser := repository.GetUserFromContext(r.Context())\n   520→\tavailableRoles, _ := schema.GetValidRolesMap(user)\n   521→\n   522→\tif search := r.URL.Query().Get(\"searchId\"); search != \"\" {\n   523→\t\trepo := repository.GetJobRepository()\n   524→\t\tsplitSearch := strings.Split(search, \":\")\n   525→\n   526→\t\tif len(splitSearch) == 2 {\n   527→\t\t\tswitch strings.Trim(splitSearch[0], \" \") {\n   528→\t\t\tcase \"jobId\":\n   529→\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?jobId=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n   530→\t\t\tcase \"jobName\":\n   531→\t\t\t\t// Add Last 30 Days to migitate timeouts\n   532→\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 10)\n   533→\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n   534→\n   535→\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&jobName=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n   536→\t\t\tcase \"projectId\":\n   537→\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?projectMatch=eq&project=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n   538→\t\t\tcase \"arrayJobId\":\n   539→\t\t\t\t// Add Last 30 Days to migitate timeouts"}]},"uuid":"e43701b0-4622-4b35-9e95-de9cef5de2f7","timestamp":"2026-03-20T06:22:11.426Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/routerConfig/routes.go","content":"\n\t\t\t// Get User -> What if NIL?\n\t\t\tuser := repository.GetUserFromContext(r.Context())\n\n\t\t\t// Get Roles\n\t\t\tavailableRoles, _ := schema.GetValidRolesMap(user)\n\n\t\t\tresampling := resamplingForUser(conf)\n\n\t\t\tpage := web.Page{\n\t\t\t\tTitle:      title,\n\t\t\t\tUser:       *user,\n\t\t\t\tRoles:      availableRoles,\n\t\t\t\tBuild:      buildInfo,\n\t\t\t\tConfig:     conf,\n\t\t\t\tResampling: resampling,\n\t\t\t\tInfos:      infos,\n\t\t\t}\n\n\t\t\tif route.Filter {\n\t\t\t\tpage.FilterPresets = buildFilterPresets(r.URL.Query())\n\t\t\t}\n\n\t\t\tweb.RenderTemplate(rw, route.Template, &page)\n\t\t})\n\t}\n}\n\nfunc HandleSearchBar(rw http.ResponseWriter, r *http.Request, buildInfo web.Build) {\n\tuser := repository.GetUserFromContext(r.Context())\n\tavailableRoles, _ := schema.GetValidRolesMap(user)\n\n\tif search := r.URL.Query().Get(\"searchId\"); search != \"\" {\n\t\trepo := repository.GetJobRepository()\n\t\tsplitSearch := strings.Split(search, \":\")\n\n\t\tif len(splitSearch) == 2 {\n\t\t\tswitch strings.Trim(splitSearch[0], \" \") {\n\t\t\tcase \"jobId\":\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?jobId=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n\t\t\tcase \"jobName\":\n\t\t\t\t// Add Last 30 Days to migitate timeouts\n\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 10)\n\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&jobName=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n\t\t\tcase \"projectId\":\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?projectMatch=eq&project=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n\t\t\tcase \"arrayJobId\":\n\t\t\t\t// Add Last 30 Days to migitate timeouts","numLines":50,"startLine":490,"totalLines":621}},"sourceToolAssistantUUID":"d2532447-fc0a-4531-9484-eb433132f6e2","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"6adbbb0d-77e3-4221-ba4d-44c784e653aa","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01Vf74QuLw1LD75YYMSxERPN","toolUseID":"toolu_01Vf74QuLw1LD75YYMSxERPN","timestamp":"2026-03-20T06:22:11.814Z","uuid":"6e569d46-f4f7-47b1-a9c2-4f3e18fb1249","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"6adbbb0d-77e3-4221-ba4d-44c784e653aa","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Vf74QuLw1LD75YYMSxERPN","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package graph\n     6→\n     7→import (\n     8→\t\"context\"\n     9→\t\"strings\"\n    10→\n    11→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    12→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    13→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    14→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    15→)\n    16→\n    17→// resolveResolutionFromPolicy reads the user's resample policy preference and\n    18→// computes a resolution based on job duration and metric frequency. Returns nil\n    19→// if the user has no policy set.\n    20→func resolveResolutionFromPolicy(ctx context.Context, duration int64, cluster string, metrics []string) *int {\n    21→\tuser := repository.GetUserFromContext(ctx)\n    22→\tif user == nil {\n    23→\t\treturn nil\n    24→\t}\n    25→\n    26→\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n    27→\tif err != nil {\n    28→\t\treturn nil\n    29→\t}\n    30→\n    31→\tpolicyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]\n    32→\tif !ok {\n    33→\t\treturn nil\n    34→\t}\n    35→\tpolicyStr, ok := policyVal.(string)\n    36→\tif !ok || policyStr == \"\" {\n    37→\t\treturn nil\n    38→\t}\n    39→\n    40→\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n    41→\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n    42→\tif targetPoints == 0 {\n    43→\t\treturn nil\n    44→\t}\n    45→\n    46→\t// Find the smallest metric frequency across the requested metrics\n    47→\tfrequency := smallestFrequency(cluster, metrics)\n    48→\tif frequency <= 0 {\n    49→\t\treturn nil\n    50→\t}\n    51→\n    52→\tres := metricdispatch.ComputeResolution(duration, int64(frequency), targetPoints)\n    53→\treturn &res\n    54→}\n    55→\n    56→// resolveResampleAlgo returns the resampling algorithm name to use, checking\n    57→// the explicit GraphQL parameter first, then the user's preference.\n    58→func resolveResampleAlgo(ctx context.Context, resampleAlgo *model.ResampleAlgo) string {\n    59→\tif resampleAlgo != nil {\n    60→\t\treturn strings.ToLower(resampleAlgo.String())\n    61→\t}\n    62→\n    63→\tuser := repository.GetUserFromContext(ctx)\n    64→\tif user == nil {\n    65→\t\treturn \"\"\n    66→\t}\n    67→\n    68→\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n    69→\tif err != nil {\n    70→\t\treturn \"\"\n    71→\t}\n    72→\n    73→\talgoVal, ok := conf[\"plotConfiguration_resampleAlgo\"]\n    74→\tif !ok {\n    75→\t\treturn \"\"\n    76→\t}\n    77→\talgoStr, ok := algoVal.(string)\n    78→\tif !ok {\n    79→\t\treturn \"\"\n    80→\t}\n    81→\n    82→\treturn algoStr\n    83→}\n    84→\n    85→// smallestFrequency returns the smallest metric timestep (in seconds) among the\n    86→// requested metrics for the given cluster. Falls back to 0 if nothing is found.\n    87→func smallestFrequency(cluster string, metrics []string) int {\n    88→\tcl := archive.GetCluster(cluster)\n    89→\tif cl == nil {\n    90→\t\treturn 0\n    91→\t}\n    92→\n    93→\tminFreq := 0\n    94→\tfor _, mc := range cl.MetricConfig {\n    95→\t\tif len(metrics) > 0 {\n    96→\t\t\tfound := false\n    97→\t\t\tfor _, m := range metrics {\n    98→\t\t\t\tif mc.Name == m {\n    99→\t\t\t\t\tfound = true\n   100→\t\t\t\t\tbreak\n   101→\t\t\t\t}\n   102→\t\t\t}\n   103→\t\t\tif !found {\n   104→\t\t\t\tcontinue\n   105→\t\t\t}\n   106→\t\t}\n   107→\t\tif minFreq == 0 || mc.Timestep < minFreq {\n   108→\t\t\tminFreq = mc.Timestep\n   109→\t\t}\n   110→\t}\n   111→\n   112→\treturn minFreq\n   113→}\n   114→"}]},"uuid":"bb6aded4-528c-4ab5-90c9-9334fa273acb","timestamp":"2026-03-20T06:22:11.814Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/resample.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage graph\n\nimport (\n\t\"context\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n)\n\n// resolveResolutionFromPolicy reads the user's resample policy preference and\n// computes a resolution based on job duration and metric frequency. Returns nil\n// if the user has no policy set.\nfunc resolveResolutionFromPolicy(ctx context.Context, duration int64, cluster string, metrics []string) *int {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil\n\t}\n\n\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n\tif err != nil {\n\t\treturn nil\n\t}\n\n\tpolicyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]\n\tif !ok {\n\t\treturn nil\n\t}\n\tpolicyStr, ok := policyVal.(string)\n\tif !ok || policyStr == \"\" {\n\t\treturn nil\n\t}\n\n\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n\tif targetPoints == 0 {\n\t\treturn nil\n\t}\n\n\t// Find the smallest metric frequency across the requested metrics\n\tfrequency := smallestFrequency(cluster, metrics)\n\tif frequency <= 0 {\n\t\treturn nil\n\t}\n\n\tres := metricdispatch.ComputeResolution(duration, int64(frequency), targetPoints)\n\treturn &res\n}\n\n// resolveResampleAlgo returns the resampling algorithm name to use, checking\n// the explicit GraphQL parameter first, then the user's preference.\nfunc resolveResampleAlgo(ctx context.Context, resampleAlgo *model.ResampleAlgo) string {\n\tif resampleAlgo != nil {\n\t\treturn strings.ToLower(resampleAlgo.String())\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn \"\"\n\t}\n\n\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n\tif err != nil {\n\t\treturn \"\"\n\t}\n\n\talgoVal, ok := conf[\"plotConfiguration_resampleAlgo\"]\n\tif !ok {\n\t\treturn \"\"\n\t}\n\talgoStr, ok := algoVal.(string)\n\tif !ok {\n\t\treturn \"\"\n\t}\n\n\treturn algoStr\n}\n\n// smallestFrequency returns the smallest metric timestep (in seconds) among the\n// requested metrics for the given cluster. Falls back to 0 if nothing is found.\nfunc smallestFrequency(cluster string, metrics []string) int {\n\tcl := archive.GetCluster(cluster)\n\tif cl == nil {\n\t\treturn 0\n\t}\n\n\tminFreq := 0\n\tfor _, mc := range cl.MetricConfig {\n\t\tif len(metrics) > 0 {\n\t\t\tfound := false\n\t\t\tfor _, m := range metrics {\n\t\t\t\tif mc.Name == m {\n\t\t\t\t\tfound = true\n\t\t\t\t\tbreak\n\t\t\t\t}\n\t\t\t}\n\t\t\tif !found {\n\t\t\t\tcontinue\n\t\t\t}\n\t\t}\n\t\tif minFreq == 0 || mc.Timestep < minFreq {\n\t\t\tminFreq = mc.Timestep\n\t\t}\n\t}\n\n\treturn minFreq\n}\n","numLines":114,"startLine":1,"totalLines":114}},"sourceToolAssistantUUID":"6adbbb0d-77e3-4221-ba4d-44c784e653aa","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"bb6aded4-528c-4ab5-90c9-9334fa273acb","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Wd316FP2Y7M4h6Q8Qavwo9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JEGCoT39kgqchhzP7Lr68Y","name":"Grep","input":{"pattern":"func resamplingForUser","path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/routerConfig/routes.go","output_mode":"content","-A":40},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3321,"cache_read_input_tokens":43957,"output_tokens":137,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":3321,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDrHyj8GfJeXgrGzJN3Q","type":"assistant","uuid":"67f854d7-e411-41cb-97e1-634b0c9f8842","timestamp":"2026-03-20T06:22:16.166Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"67f854d7-e411-41cb-97e1-634b0c9f8842","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01JEGCoT39kgqchhzP7Lr68Y","toolUseID":"toolu_01JEGCoT39kgqchhzP7Lr68Y","timestamp":"2026-03-20T06:22:16.182Z","uuid":"3039db3a-ef02-43e0-8d4f-483772ef0a0f","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"67f854d7-e411-41cb-97e1-634b0c9f8842","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JEGCoT39kgqchhzP7Lr68Y","type":"tool_result","content":"597:func resamplingForUser(conf map[string]any) *config.ResampleConfig {\n598-\tglobalCfg := config.Keys.EnableResampling\n599-\n600-\tpolicyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]\n601-\tif !ok {\n602-\t\treturn globalCfg\n603-\t}\n604-\tpolicyStr, ok := policyVal.(string)\n605-\tif !ok || policyStr == \"\" {\n606-\t\treturn globalCfg\n607-\t}\n608-\n609-\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n610-\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n611-\tif targetPoints == 0 {\n612-\t\treturn globalCfg\n613-\t}\n614-\n615-\t// Build a policy-derived config: targetPoints + trigger, no resolutions array\n616-\treturn &config.ResampleConfig{\n617-\t\tTargetPoints: targetPoints,\n618-\t\tTrigger:      targetPoints / 4,\n619-\t}\n620-}"}]},"uuid":"5a9e484a-8d24-43ff-847b-7daec99f9956","timestamp":"2026-03-20T06:22:16.182Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"597:func resamplingForUser(conf map[string]any) *config.ResampleConfig {\n598-\tglobalCfg := config.Keys.EnableResampling\n599-\n600-\tpolicyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]\n601-\tif !ok {\n602-\t\treturn globalCfg\n603-\t}\n604-\tpolicyStr, ok := policyVal.(string)\n605-\tif !ok || policyStr == \"\" {\n606-\t\treturn globalCfg\n607-\t}\n608-\n609-\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n610-\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n611-\tif targetPoints == 0 {\n612-\t\treturn globalCfg\n613-\t}\n614-\n615-\t// Build a policy-derived config: targetPoints + trigger, no resolutions array\n616-\treturn &config.ResampleConfig{\n617-\t\tTargetPoints: targetPoints,\n618-\t\tTrigger:      targetPoints / 4,\n619-\t}\n620-}","numLines":24},"sourceToolAssistantUUID":"67f854d7-e411-41cb-97e1-634b0c9f8842","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"5a9e484a-8d24-43ff-847b-7daec99f9956","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Hb8D66pgt4izdRNMwEJxBd","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me look at how the resolvers fall back to global config when no user policy is set."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":419,"cache_read_input_tokens":47278,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":419},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrJJMJe16ZiraQPDUL4","type":"assistant","uuid":"435b09fb-677c-4146-a66d-aa6536dc2a26","timestamp":"2026-03-20T06:22:20.476Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"435b09fb-677c-4146-a66d-aa6536dc2a26","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Hb8D66pgt4izdRNMwEJxBd","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EcB4qYG8jLrAQRTUr7EsZG","name":"Grep","input":{"pattern":"resolveResolution|EnableResampling|Resolutions\"","path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","output_mode":"content","-C":5},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":419,"cache_read_input_tokens":47278,"output_tokens":168,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":419,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDrJJMJe16ZiraQPDUL4","type":"assistant","uuid":"d3fbd74f-ef34-4cd9-be4c-febbb6610677","timestamp":"2026-03-20T06:22:21.698Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"d3fbd74f-ef34-4cd9-be4c-febbb6610677","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01EcB4qYG8jLrAQRTUr7EsZG","toolUseID":"toolu_01EcB4qYG8jLrAQRTUr7EsZG","timestamp":"2026-03-20T06:22:21.722Z","uuid":"20938374-866c-4b3c-919b-abccd2617638","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"d3fbd74f-ef34-4cd9-be4c-febbb6610677","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EcB4qYG8jLrAQRTUr7EsZG","type":"tool_result","content":"505-\t\treturn nil, err\n506-\t}\n507-\n508-\t// Resolve resolution: explicit param > user policy > global config > 0\n509-\tif resolution == nil {\n510:\t\tresolution = resolveResolutionFromPolicy(ctx, int64(job.Duration), job.Cluster, metrics)\n511-\t}\n512-\tif resolution == nil {\n513:\t\tif config.Keys.EnableResampling != nil {\n514:\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n515-\t\t\tresolution = &defaultRes\n516-\t\t} else {\n517-\t\t\tdefaultRes := 0\n518-\t\t\tresolution = &defaultRes\n519-\t\t}\n--\n880-// NodeMetricsList is the resolver for the nodeMetricsList field.\n881-func (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int, resampleAlgo *model.ResampleAlgo) (*model.NodesResultList, error) {\n882-\t// Resolve resolution: explicit param > user policy > global config > 0\n883-\tduration := int64(to.Sub(from).Seconds())\n884-\tif resolution == nil {\n885:\t\tresolution = resolveResolutionFromPolicy(ctx, duration, cluster, metrics)\n886-\t}\n887-\tif resolution == nil {\n888:\t\tif config.Keys.EnableResampling != nil {\n889:\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n890-\t\t\tresolution = &defaultRes\n891-\t\t} else {\n892-\t\t\tdefaultRes := 0\n893-\t\t\tresolution = &defaultRes\n894-\t\t}"}]},"uuid":"713624cf-e736-4084-9318-39f3776d38c7","timestamp":"2026-03-20T06:22:21.722Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"505-\t\treturn nil, err\n506-\t}\n507-\n508-\t// Resolve resolution: explicit param > user policy > global config > 0\n509-\tif resolution == nil {\n510:\t\tresolution = resolveResolutionFromPolicy(ctx, int64(job.Duration), job.Cluster, metrics)\n511-\t}\n512-\tif resolution == nil {\n513:\t\tif config.Keys.EnableResampling != nil {\n514:\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n515-\t\t\tresolution = &defaultRes\n516-\t\t} else {\n517-\t\t\tdefaultRes := 0\n518-\t\t\tresolution = &defaultRes\n519-\t\t}\n--\n880-// NodeMetricsList is the resolver for the nodeMetricsList field.\n881-func (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int, resampleAlgo *model.ResampleAlgo) (*model.NodesResultList, error) {\n882-\t// Resolve resolution: explicit param > user policy > global config > 0\n883-\tduration := int64(to.Sub(from).Seconds())\n884-\tif resolution == nil {\n885:\t\tresolution = resolveResolutionFromPolicy(ctx, duration, cluster, metrics)\n886-\t}\n887-\tif resolution == nil {\n888:\t\tif config.Keys.EnableResampling != nil {\n889:\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n890-\t\t\tresolution = &defaultRes\n891-\t\t} else {\n892-\t\t\tdefaultRes := 0\n893-\t\t\tresolution = &defaultRes\n894-\t\t}","numLines":31},"sourceToolAssistantUUID":"d3fbd74f-ef34-4cd9-be4c-febbb6610677","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"2b69db28-ed36-4478-a71b-2dd928a0f22b","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01JhZ4McWTcNGMxG4NcWXjpL","toolUseID":"toolu_01JhZ4McWTcNGMxG4NcWXjpL","timestamp":"2026-03-20T06:22:28.619Z","uuid":"f383b59f-bfac-43f1-bfb1-d1f701fb4e18","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"2b69db28-ed36-4478-a71b-2dd928a0f22b","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JhZ4McWTcNGMxG4NcWXjpL","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package metricdispatch\n     6→\n     7→import \"math\"\n     8→\n     9→type ResamplePolicy string\n    10→\n    11→const (\n    12→\tResamplePolicyLow    ResamplePolicy = \"low\"\n    13→\tResamplePolicyMedium ResamplePolicy = \"medium\"\n    14→\tResamplePolicyHigh   ResamplePolicy = \"high\"\n    15→)\n    16→\n    17→// TargetPointsForPolicy returns the target number of data points for a given policy.\n    18→func TargetPointsForPolicy(policy ResamplePolicy) int {\n    19→\tswitch policy {\n    20→\tcase ResamplePolicyLow:\n    21→\t\treturn 200\n    22→\tcase ResamplePolicyMedium:\n    23→\t\treturn 500\n    24→\tcase ResamplePolicyHigh:\n    25→\t\treturn 1000\n    26→\tdefault:\n    27→\t\treturn 0\n    28→\t}\n    29→}\n    30→\n    31→// ComputeResolution computes the resampling resolution in seconds for a given\n    32→// job duration, metric frequency, and target point count. Returns 0 if the\n    33→// total number of data points is already at or below targetPoints (no resampling needed).\n    34→func ComputeResolution(duration int64, frequency int64, targetPoints int) int {\n    35→\tif frequency <= 0 || targetPoints <= 0 || duration <= 0 {\n    36→\t\treturn 0\n    37→\t}\n    38→\n    39→\ttotalPoints := duration / frequency\n    40→\tif totalPoints <= int64(targetPoints) {\n    41→\t\treturn 0\n    42→\t}\n    43→\n    44→\ttargetRes := math.Ceil(float64(duration) / float64(targetPoints))\n    45→\t// Round up to nearest multiple of frequency\n    46→\tresolution := int(math.Ceil(targetRes/float64(frequency))) * int(frequency)\n    47→\n    48→\treturn resolution\n    49→}\n    50→"}]},"uuid":"325ed3ac-0d68-41a4-ac50-0288f070a6c9","timestamp":"2026-03-20T06:22:28.619Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage metricdispatch\n\nimport \"math\"\n\ntype ResamplePolicy string\n\nconst (\n\tResamplePolicyLow    ResamplePolicy = \"low\"\n\tResamplePolicyMedium ResamplePolicy = \"medium\"\n\tResamplePolicyHigh   ResamplePolicy = \"high\"\n)\n\n// TargetPointsForPolicy returns the target number of data points for a given policy.\nfunc TargetPointsForPolicy(policy ResamplePolicy) int {\n\tswitch policy {\n\tcase ResamplePolicyLow:\n\t\treturn 200\n\tcase ResamplePolicyMedium:\n\t\treturn 500\n\tcase ResamplePolicyHigh:\n\t\treturn 1000\n\tdefault:\n\t\treturn 0\n\t}\n}\n\n// ComputeResolution computes the resampling resolution in seconds for a given\n// job duration, metric frequency, and target point count. Returns 0 if the\n// total number of data points is already at or below targetPoints (no resampling needed).\nfunc ComputeResolution(duration int64, frequency int64, targetPoints int) int {\n\tif frequency <= 0 || targetPoints <= 0 || duration <= 0 {\n\t\treturn 0\n\t}\n\n\ttotalPoints := duration / frequency\n\tif totalPoints <= int64(targetPoints) {\n\t\treturn 0\n\t}\n\n\ttargetRes := math.Ceil(float64(duration) / float64(targetPoints))\n\t// Round up to nearest multiple of frequency\n\tresolution := int(math.Ceil(targetRes/float64(frequency))) * int(frequency)\n\n\treturn resolution\n}\n","numLines":50,"startLine":1,"totalLines":50}},"sourceToolAssistantUUID":"2b69db28-ed36-4478-a71b-2dd928a0f22b","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"325ed3ac-0d68-41a4-ac50-0288f070a6c9","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017c1x8gfXJKSrqb4TxpjJkT","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me check the `config.Init()` function to see how `MinimumPoints` is used."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":946,"cache_read_input_tokens":48322,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":946},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrKDe4wtmqq2S6Hdgyi","type":"assistant","uuid":"ea62a67b-2f7b-4a9c-ab9c-1bd3101aa5f5","timestamp":"2026-03-20T06:22:32.458Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"ea62a67b-2f7b-4a9c-ab9c-1bd3101aa5f5","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017c1x8gfXJKSrqb4TxpjJkT","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01H83pduJcVmqFutokrHRefc","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go","offset":150,"limit":25},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":946,"cache_read_input_tokens":48322,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":946},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrKDe4wtmqq2S6Hdgyi","type":"assistant","uuid":"094d81c0-9304-49fe-858c-9a87350db765","timestamp":"2026-03-20T06:22:33.082Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"094d81c0-9304-49fe-858c-9a87350db765","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01H83pduJcVmqFutokrHRefc","toolUseID":"toolu_01H83pduJcVmqFutokrHRefc","timestamp":"2026-03-20T06:22:33.089Z","uuid":"63461e81-1c02-4987-a793-590a17677b72","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"094d81c0-9304-49fe-858c-9a87350db765","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01H83pduJcVmqFutokrHRefc","type":"tool_result","content":"   150→}\n   151→\n   152→func Init(mainConfig json.RawMessage) {\n   153→\tValidate(configSchema, mainConfig)\n   154→\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n   155→\tdec.DisallowUnknownFields()\n   156→\tif err := dec.Decode(&Keys); err != nil {\n   157→\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n   158→\t}\n   159→\n   160→\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n   161→\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n   162→\t}\n   163→}\n   164→"}]},"uuid":"838d66d4-ddcd-44b3-882e-a3b45f2c70ec","timestamp":"2026-03-20T06:22:33.089Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go","content":"}\n\nfunc Init(mainConfig json.RawMessage) {\n\tValidate(configSchema, mainConfig)\n\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&Keys); err != nil {\n\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n\t}\n\n\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n\t}\n}\n","numLines":15,"startLine":150,"totalLines":164}},"sourceToolAssistantUUID":"094d81c0-9304-49fe-858c-9a87350db765","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"838d66d4-ddcd-44b3-882e-a3b45f2c70ec","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017dses2TCbW5rhgzFpPQRiq","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me check the config schema for validation."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":366,"cache_read_input_tokens":49268,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":366},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrKZRSqL8oxEdBz7xos","type":"assistant","uuid":"c5ef2efe-ab9c-4042-842f-f68b2735a39a","timestamp":"2026-03-20T06:22:36.170Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"c5ef2efe-ab9c-4042-842f-f68b2735a39a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017dses2TCbW5rhgzFpPQRiq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01AQRphXfHo76xDYuFdM8CKk","name":"Grep","input":{"pattern":"configSchema|config_schema","path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config","output_mode":"content"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":366,"cache_read_input_tokens":49268,"output_tokens":124,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":366,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDrKZRSqL8oxEdBz7xos","type":"assistant","uuid":"24dc2c68-3655-42b8-815b-21b4f270e28d","timestamp":"2026-03-20T06:22:36.975Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"9d70c301-1eb8-4390-a996-875f4b4f1f54","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01GpV3CfuLGyoqSrWiQ43zMa","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VLCu6jpchNFzkxeEoUKh56","name":"Grep","input":{"pattern":"resampl","path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/schema.go","output_mode":"content","-C":15},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":572,"cache_read_input_tokens":49268,"output_tokens":132,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":572,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDrKqKREBBuR36fLMCLi","type":"assistant","uuid":"7008fd3d-2be8-437f-b5a9-ae96b8620781","timestamp":"2026-03-20T06:22:40.400Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
+{"parentUuid":"7008fd3d-2be8-437f-b5a9-ae96b8620781","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01VLCu6jpchNFzkxeEoUKh56","toolUseID":"toolu_01VLCu6jpchNFzkxeEoUKh56","timestamp":"2026-03-20T06:22:40.411Z","uuid":"459bec3f-c6c3-4ca7-bfb4-271e8c3c9dc1","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"9766fee2-fcea-47ee-88e9-33887d5e2526","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01NEGbFghGKkcTXv3bv19knn","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UeQTnyxYaErh4LtfLYhy2S","name":"Write","input":{"file_path":"/Users/jan/.claude/plans/bubbly-shimmying-sedgewick.md","content":"# Replace file-based resampling config with policy-based approach\n\n## Context\n\nThe codebase has two resampling mechanisms:\n1. **Old (file-based)**: `config.json` defines explicit `resolutions` array and `trigger` count. The frontend uses these to pick from a fixed set of resolution steps on zoom.\n2. **New (policy-based)**: Users choose a policy (\"low\"/\"medium\"/\"high\") mapping to target point counts (200/500/1000). Resolution is computed dynamically from `duration / targetPoints`. This is already fully implemented in the GraphQL resolvers and frontend MetricPlot zoom logic.\n\nThe problem: `config.json` still uses the old `resolutions`+`trigger` schema, and falls back to it when no user policy is set. We should replace this with a default policy+algorithm in config, so the whole system is consistently policy-based.\n\n## Changes\n\n### 1. `internal/config/config.go` — Update `ResampleConfig` struct\n- Remove `Resolutions []int` and `Trigger int` fields\n- Add `DefaultPolicy string` (`json:\"default-policy\"`) — default resample policy (\"low\", \"medium\", \"high\")\n- Add `DefaultAlgo string` (`json:\"default-algo\"`) — default resample algorithm (\"lttb\", \"average\", \"simple\")\n- Keep `MinimumPoints int` — still useful for the resampler library\n- Keep `TargetPoints int` — used by policy-derived runtime config\n\n### 2. `internal/config/schema.go` — Update JSON schema\n- Replace `trigger`/`resolutions` required properties with `default-policy`\n- Add `default-policy` (string, enum: [\"low\",\"medium\",\"high\"]) and `default-algo` (string, enum: [\"lttb\",\"average\",\"simple\"]) properties\n- Remove `trigger` and `resolutions` properties\n- No required fields (presence of `\"resampling\": {}` is enough to enable it)\n\n### 3. `internal/routerConfig/routes.go` — Update `resamplingForUser()`\n- When falling back to globalCfg (no user policy set), use `globalCfg.DefaultPolicy` to compute `TargetPoints` and `Trigger` dynamically, same as the user-policy path\n- If `DefaultPolicy` is empty, use \"medium\" as default\n\n### 4. `internal/graph/schema.resolvers.go` — Update fallback resolution logic\n- In `JobMetrics()` and `NodeMetricsList()`: replace `slices.Max(config.Keys.EnableResampling.Resolutions)` fallback with policy-based computation using `config.Keys.EnableResampling.DefaultPolicy`\n- Use `TargetPointsForPolicy()` + `ComputeResolution()` instead of picking from a resolutions array\n- Also apply `DefaultAlgo` when no user algo preference is set\n\n### 5. `internal/graph/resample.go` — Update `resolveResampleAlgo()`\n- After checking user preference, fall back to `config.Keys.EnableResampling.DefaultAlgo` before returning \"\"\n\n### 6. `config.json` (local dev) — Update to new format\n```json\n\"resampling\": {\n  \"default-policy\": \"medium\",\n  \"default-algo\": \"lttb\"\n}\n```\n\n### 7. `configs/config.json` (example config) — Update to new format\nSame as above, keeping `minimum-points` if desired.\n\n### 8. Frontend: No changes needed\nThe frontend already handles both modes:\n- Policy-based: uses `targetPoints` to compute resolution dynamically\n- Array-based: uses `resolutions` array for fixed steps\n\nSince `resamplingForUser()` already returns a `ResampleConfig` with `TargetPoints`+`Trigger` (no `Resolutions`), the frontend will use the policy path.\n\n## Files to modify\n1. `internal/config/config.go` (struct + Init)\n2. `internal/config/schema.go` (JSON schema)\n3. `internal/routerConfig/routes.go` (`resamplingForUser`)\n4. `internal/graph/schema.resolvers.go` (resolver fallbacks)\n5. `internal/graph/resample.go` (`resolveResampleAlgo` fallback)\n6. `config.json` (local config)\n7. `configs/config.json` (example config)\n\n## Verification\n1. `go build ./...` — must compile\n2. `go test ./internal/metricdispatch/...` — resample policy tests pass\n3. `go test ./internal/config/...` — if config tests exist\n4. Start with `./cc-backend -server -dev` and verify `/config` page shows resampling options\n5. Verify metric plots on job pages still support zoom/resampling\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":526,"cache_read_input_tokens":50592,"output_tokens":1248,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":526,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDrLLP9dMUjN69EEfWoU","type":"assistant","uuid":"19ff26e6-76bb-424d-98ff-2a851aa2b9fe","timestamp":"2026-03-20T06:23:10.528Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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+{"parentUuid":"19ff26e6-76bb-424d-98ff-2a851aa2b9fe","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UeQTnyxYaErh4LtfLYhy2S","type":"tool_result","content":"File created successfully at: /Users/jan/.claude/plans/bubbly-shimmying-sedgewick.md"}]},"uuid":"b4a3c06d-c0c4-42d4-b8b5-0a6da4f34e1a","timestamp":"2026-03-20T06:23:10.543Z","toolUseResult":{"type":"create","filePath":"/Users/jan/.claude/plans/bubbly-shimmying-sedgewick.md","content":"# Replace file-based resampling config with policy-based approach\n\n## Context\n\nThe codebase has two resampling mechanisms:\n1. **Old (file-based)**: `config.json` defines explicit `resolutions` array and `trigger` count. The frontend uses these to pick from a fixed set of resolution steps on zoom.\n2. **New (policy-based)**: Users choose a policy (\"low\"/\"medium\"/\"high\") mapping to target point counts (200/500/1000). Resolution is computed dynamically from `duration / targetPoints`. This is already fully implemented in the GraphQL resolvers and frontend MetricPlot zoom logic.\n\nThe problem: `config.json` still uses the old `resolutions`+`trigger` schema, and falls back to it when no user policy is set. We should replace this with a default policy+algorithm in config, so the whole system is consistently policy-based.\n\n## Changes\n\n### 1. `internal/config/config.go` — Update `ResampleConfig` struct\n- Remove `Resolutions []int` and `Trigger int` fields\n- Add `DefaultPolicy string` (`json:\"default-policy\"`) — default resample policy (\"low\", \"medium\", \"high\")\n- Add `DefaultAlgo string` (`json:\"default-algo\"`) — default resample algorithm (\"lttb\", \"average\", \"simple\")\n- Keep `MinimumPoints int` — still useful for the resampler library\n- Keep `TargetPoints int` — used by policy-derived runtime config\n\n### 2. `internal/config/schema.go` — Update JSON schema\n- Replace `trigger`/`resolutions` required properties with `default-policy`\n- Add `default-policy` (string, enum: [\"low\",\"medium\",\"high\"]) and `default-algo` (string, enum: [\"lttb\",\"average\",\"simple\"]) properties\n- Remove `trigger` and `resolutions` properties\n- No required fields (presence of `\"resampling\": {}` is enough to enable it)\n\n### 3. `internal/routerConfig/routes.go` — Update `resamplingForUser()`\n- When falling back to globalCfg (no user policy set), use `globalCfg.DefaultPolicy` to compute `TargetPoints` and `Trigger` dynamically, same as the user-policy path\n- If `DefaultPolicy` is empty, use \"medium\" as default\n\n### 4. `internal/graph/schema.resolvers.go` — Update fallback resolution logic\n- In `JobMetrics()` and `NodeMetricsList()`: replace `slices.Max(config.Keys.EnableResampling.Resolutions)` fallback with policy-based computation using `config.Keys.EnableResampling.DefaultPolicy`\n- Use `TargetPointsForPolicy()` + `ComputeResolution()` instead of picking from a resolutions array\n- Also apply `DefaultAlgo` when no user algo preference is set\n\n### 5. `internal/graph/resample.go` — Update `resolveResampleAlgo()`\n- After checking user preference, fall back to `config.Keys.EnableResampling.DefaultAlgo` before returning \"\"\n\n### 6. `config.json` (local dev) — Update to new format\n```json\n\"resampling\": {\n  \"default-policy\": \"medium\",\n  \"default-algo\": \"lttb\"\n}\n```\n\n### 7. `configs/config.json` (example config) — Update to new format\nSame as above, keeping `minimum-points` if desired.\n\n### 8. Frontend: No changes needed\nThe frontend already handles both modes:\n- Policy-based: uses `targetPoints` to compute resolution dynamically\n- Array-based: uses `resolutions` array for fixed steps\n\nSince `resamplingForUser()` already returns a `ResampleConfig` with `TargetPoints`+`Trigger` (no `Resolutions`), the frontend will use the policy path.\n\n## Files to modify\n1. `internal/config/config.go` (struct + Init)\n2. `internal/config/schema.go` (JSON schema)\n3. `internal/routerConfig/routes.go` (`resamplingForUser`)\n4. `internal/graph/schema.resolvers.go` (resolver fallbacks)\n5. `internal/graph/resample.go` (`resolveResampleAlgo` fallback)\n6. `config.json` (local config)\n7. `configs/config.json` (example config)\n\n## Verification\n1. `go build ./...` — must compile\n2. `go test ./internal/metricdispatch/...` — resample policy tests pass\n3. `go test ./internal/config/...` — if config tests exist\n4. Start with `./cc-backend -server -dev` and verify `/config` page shows resampling options\n5. Verify metric plots on job pages still support zoom/resampling\n","structuredPatch":[],"originalFile":null},"sourceToolAssistantUUID":"19ff26e6-76bb-424d-98ff-2a851aa2b9fe","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"f8d732b5-ee26-4579-bdeb-237fa0cb9261","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
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This is already fully implemented in the GraphQL resolvers and frontend MetricPlot zoom logic.\n\nThe problem: `config.json` still uses the old `resolutions`+`trigger` schema, and falls back to it when no user policy is set. We should replace this with a default policy+algorithm in config, so the whole system is consistently policy-based.\n\n## Changes\n\n### 1. `internal/config/config.go` — Update `ResampleConfig` struct\n- Remove `Resolutions []int` and `Trigger int` fields\n- Add `DefaultPolicy string` (`json:\"default-policy\"`) — default resample policy (\"low\", \"medium\", \"high\")\n- Add `DefaultAlgo string` (`json:\"default-algo\"`) — default resample algorithm (\"lttb\", \"average\", \"simple\")\n- Keep `MinimumPoints int` — still useful for the resampler library\n- Keep `TargetPoints int` — used by policy-derived runtime config\n\n### 2. `internal/config/schema.go` — Update JSON schema\n- Replace `trigger`/`resolutions` required properties with `default-policy`\n- Add `default-policy` (string, enum: [\"low\",\"medium\",\"high\"]) and `default-algo` (string, enum: [\"lttb\",\"average\",\"simple\"]) properties\n- Remove `trigger` and `resolutions` properties\n- No required fields (presence of `\"resampling\": {}` is enough to enable it)\n\n### 3. `internal/routerConfig/routes.go` — Update `resamplingForUser()`\n- When falling back to globalCfg (no user policy set), use `globalCfg.DefaultPolicy` to compute `TargetPoints` and `Trigger` dynamically, same as the user-policy path\n- If `DefaultPolicy` is empty, use \"medium\" as default\n\n### 4. `internal/graph/schema.resolvers.go` — Update fallback resolution logic\n- In `JobMetrics()` and `NodeMetricsList()`: replace `slices.Max(config.Keys.EnableResampling.Resolutions)` fallback with policy-based computation using `config.Keys.EnableResampling.DefaultPolicy`\n- Use `TargetPointsForPolicy()` + `ComputeResolution()` instead of picking from a resolutions array\n- Also apply `DefaultAlgo` when no user algo preference is set\n\n### 5. `internal/graph/resample.go` — Update `resolveResampleAlgo()`\n- After checking user preference, fall back to `config.Keys.EnableResampling.DefaultAlgo` before returning \"\"\n\n### 6. `config.json` (local dev) — Update to new format\n```json\n\"resampling\": {\n  \"default-policy\": \"medium\",\n  \"default-algo\": \"lttb\"\n}\n```\n\n### 7. `configs/config.json` (example config) — Update to new format\nSame as above, keeping `minimum-points` if desired.\n\n### 8. Frontend: No changes needed\nThe frontend already handles both modes:\n- Policy-based: uses `targetPoints` to compute resolution dynamically\n- Array-based: uses `resolutions` array for fixed steps\n\nSince `resamplingForUser()` already returns a `ResampleConfig` with `TargetPoints`+`Trigger` (no `Resolutions`), the frontend will use the policy path.\n\n## Files to modify\n1. `internal/config/config.go` (struct + Init)\n2. `internal/config/schema.go` (JSON schema)\n3. `internal/routerConfig/routes.go` (`resamplingForUser`)\n4. `internal/graph/schema.resolvers.go` (resolver fallbacks)\n5. `internal/graph/resample.go` (`resolveResampleAlgo` fallback)\n6. `config.json` (local config)\n7. `configs/config.json` (example config)\n\n## Verification\n1. `go build ./...` — must compile\n2. `go test ./internal/metricdispatch/...` — resample policy tests pass\n3. `go test ./internal/config/...` — if config tests exist\n4. Start with `./cc-backend -server -dev` and verify `/config` page shows resampling options\n5. 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diff --git a/75/36f551d548/2/metadata.json b/75/36f551d548/2/metadata.json
new file mode 100644
index 00000000..42cf7cd6
--- /dev/null
+++ b/75/36f551d548/2/metadata.json
@@ -0,0 +1,37 @@
+{
+  "cli_version": "0.5.0",
+  "checkpoint_id": "7536f551d548",
+  "session_id": "f8d732b5-ee26-4579-bdeb-237fa0cb9261",
+  "strategy": "manual-commit",
+  "created_at": "2026-03-20T07:03:34.700815Z",
+  "branch": "feature/526-average-resample",
+  "checkpoints_count": 3,
+  "files_touched": [
+    "go.mod",
+    "go.sum",
+    "web/frontend/src/config/AdminSettings.svelte",
+    "web/frontend/src/config/user/PlotRenderOptions.svelte"
+  ],
+  "agent": "Claude Code",
+  "model": "claude-opus-4-6",
+  "turn_id": "dc8c7ded2768",
+  "token_usage": {
+    "input_tokens": 47,
+    "cache_creation_tokens": 47515,
+    "cache_read_tokens": 1322713,
+    "output_tokens": 7661,
+    "api_call_count": 37
+  },
+  "session_metrics": {
+    "turn_count": 3
+  },
+  "initial_attribution": {
+    "calculated_at": "2026-03-20T07:03:34.58224Z",
+    "agent_lines": 0,
+    "human_added": 44,
+    "human_modified": 59,
+    "human_removed": 0,
+    "total_committed": 79,
+    "agent_percentage": 0
+  }
+}
diff --git a/75/36f551d548/2/prompt.txt b/75/36f551d548/2/prompt.txt
new file mode 100644
index 00000000..718677bb
--- /dev/null
+++ b/75/36f551d548/2/prompt.txt
@@ -0,0 +1,9 @@
+Add PlotRenderOptions also to AdminsSettings
+
+---
+
+The render options are not show here yet for admins: http://localhost:8080/config . Debug and fix it
+
+---
+
+Add resample-config option to the current config
\ No newline at end of file
diff --git a/75/36f551d548/metadata.json b/75/36f551d548/metadata.json
new file mode 100644
index 00000000..9a6e0503
--- /dev/null
+++ b/75/36f551d548/metadata.json
@@ -0,0 +1,47 @@
+{
+  "cli_version": "0.5.0",
+  "checkpoint_id": "7536f551d548",
+  "strategy": "manual-commit",
+  "branch": "feature/526-average-resample",
+  "checkpoints_count": 5,
+  "files_touched": [
+    "cmd/cc-backend/init.go",
+    "configs/config.json",
+    "go.mod",
+    "go.sum",
+    "internal/config/config.go",
+    "internal/config/schema.go",
+    "internal/graph/resample.go",
+    "internal/graph/schema.resolvers.go",
+    "internal/routerConfig/routes.go",
+    "web/frontend/src/config/AdminSettings.svelte",
+    "web/frontend/src/config/user/PlotRenderOptions.svelte"
+  ],
+  "sessions": [
+    {
+      "metadata": "/75/36f551d548/0/metadata.json",
+      "transcript": "/75/36f551d548/0/full.jsonl",
+      "content_hash": "/75/36f551d548/0/content_hash.txt",
+      "prompt": ""
+    },
+    {
+      "metadata": "/75/36f551d548/1/metadata.json",
+      "transcript": "/75/36f551d548/1/full.jsonl",
+      "content_hash": "/75/36f551d548/1/content_hash.txt",
+      "prompt": "/75/36f551d548/1/prompt.txt"
+    },
+    {
+      "metadata": "/75/36f551d548/2/metadata.json",
+      "transcript": "/75/36f551d548/2/full.jsonl",
+      "content_hash": "/75/36f551d548/2/content_hash.txt",
+      "prompt": "/75/36f551d548/2/prompt.txt"
+    }
+  ],
+  "token_usage": {
+    "input_tokens": 1412,
+    "cache_creation_tokens": 126103,
+    "cache_read_tokens": 2826383,
+    "output_tokens": 18974,
+    "api_call_count": 74
+  }
+}
diff --git a/7e/68050cab59/0/content_hash.txt b/7e/68050cab59/0/content_hash.txt
new file mode 100644
index 00000000..a98006c4
--- /dev/null
+++ b/7e/68050cab59/0/content_hash.txt
@@ -0,0 +1 @@
+sha256:d57ab76f7a9216dc8c93731c7dec75954b8a9916bafe9dc8817e34bc1f341ce2
\ No newline at end of file
diff --git a/7e/68050cab59/0/full.jsonl b/7e/68050cab59/0/full.jsonl
new file mode 100644
index 00000000..adba1cf1
--- /dev/null
+++ b/7e/68050cab59/0/full.jsonl
@@ -0,0 +1,88 @@
+{"type":"file-history-snapshot","messageId":"dc9d1865-6087-4cef-b483-1acd956b7f10","snapshot":{"messageId":"dc9d1865-6087-4cef-b483-1acd956b7f10","trackedFileBackups":{},"timestamp":"2026-03-18T05:08:42.902Z"},"isSnapshotUpdate":false}
+{"parentUuid":null,"isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"af31666f-203f-4717-988b-2be9f38c41b4","toolUseID":"af31666f-203f-4717-988b-2be9f38c41b4","timestamp":"2026-03-18T05:08:42.853Z","uuid":"9c8b439d-4acb-4774-bd8c-1ada92272058","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5eb20a94-f8df-4979-a0ae-2aa99bfad884","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"9c8b439d-4acb-4774-bd8c-1ada92272058","isSidechain":false,"promptId":"6e6c2140-4cee-4dea-b053-88ef3746e514","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Metricstore NATS Slow Consumer Analysis & Improvements\n\n## Context\n\nThe metricstore NATS subscription triggers \"slow consumer, messages dropped\" warnings under load. The root cause is that the NATS message callback blocks for too long, causing the nats.go client to detect a slow consumer and drop messages from its internal pending buffer.\n\n## Root Cause Analysis\n\nThere are **three compounding bottlenecks** in the ingestion path:\n\n### 1. Single-threaded inline decoding (primary cause)\n- `metricstore.go:187` calls `ReceiveNats(ms, 1, ctx)` — **workers=1**\n- With workers=1, `DecodeLine()` runs **directly inside the NATS callback** (`lineprotocol.go:82-87`)\n- The NATS client cannot deliver the next message until the callback returns\n- Each `DecodeLine` call parses line protocol, acquires locks on the level tree, and may block on the WAL channel\n\n### 2. Blocking WAL channel send\n- `lineprotocol.go:351`: `WALMessages <- &WALMessage{...}` is a **blocking send**\n- The `WALMessages` channel has a buffer of only 4096 (`walCheckpoint.go:85`)\n- If the single WALStaging goroutine can't drain fast enough (file I/O), this blocks `DecodeLine`, which blocks the NATS callback\n- Under sustained load, the WAL channel fills up and becomes the dominant bottleneck\n\n### 3. Single WALStaging goroutine with per-message I/O\n- `WALStaging()` (`walCheckpoint.go:118-234`) runs as a **single goroutine**\n- It processes messages sequentially: open/lookup file handle → serialize → write via bufio\n- While bufio batches actual syscalls, the goroutine still handles one message at a time\n- File handle lookups (map access) and potential `MkdirAll` calls add latency\n\n### How nats.go detects slow consumers\nThe nats.go library maintains an internal per-subscription message queue. When the callback blocks, messages accumulate. Once the pending count/bytes exceed limits (default: 65536 messages / 64MB), it drops messages and reports \"slow consumer\".\n\n## Proposed Improvements\n\n### Change 1: Increase worker count and channel buffer\n**File:** `pkg/metricstore/metricstore.go:187` and `pkg/metricstore/lineprotocol.go:56`\n\n- Pass `Keys.NumWorkers` (or a dedicated config field) instead of hardcoded `1`\n- Increase the `msgs` channel buffer from `workers*2` to `workers*256` or a dedicated configurable value (default 16384)\n- This parallelizes `DecodeLine()` across multiple goroutines and decouples the NATS callback from processing\n\n```go\n// metricstore.go — change workers from 1 to NumWorkers\nerr = ReceiveNats(ms, Keys.NumWorkers, ctx)\n```\n\n```go\n// lineprotocol.go — larger channel buffer\nmsgs := make(chan []byte, max(workers*256, 8192))\n```\n\n### Change 2: Increase WAL channel buffer\n**File:** `pkg/metricstore/walCheckpoint.go:85`\n\n- Increase from 4096 to 65536 or higher\n- This gives the WAL staging goroutine more headroom during I/O bursts\n\n```go\nvar WALMessages = make(chan *WALMessage, 65536)\n```\n\n### Change 3: Make WAL send non-blocking with overflow logging\n**File:** `pkg/metricstore/lineprotocol.go:350-359`\n\n- Use a non-blocking send with `select/default` and log dropped WAL messages\n- The in-memory store write (line 361) already succeeded — WAL is for crash recovery only\n- A periodic binary snapshot will capture the data anyway; a few missed WAL entries between snapshots are acceptable\n\n```go\nif Keys.Checkpoints.FileFormat == \"wal\" {\n    select {\n    case WALMessages <- &WALMessage{...}:\n    default:\n        // WAL channel full — message written to memory store but not WAL.\n        // Next binary snapshot will capture it.\n    }\n}\n```\n\n### Change 4: Batch WAL writes in WALStaging\n**File:** `pkg/metricstore/walCheckpoint.go:219-231`\n\n- Drain multiple messages per iteration before going back to `select`\n- Periodically flush all writers (e.g., after draining or on a timer)\n\n```go\n// After processing one message from the channel, drain up to N more without blocking\nfor range 256 {\n    select {\n    case msg := <-WALMessages:\n        processMsg(msg)\n    default:\n        goto flushed\n    }\n}\nflushed:\n// Flush all dirty writers\n```\n\n### Change 5 (cc-lib, optional): Set subscription pending limits\n**File:** cc-lib `nats/client.go` — after `conn.Subscribe()`, call `sub.SetPendingLimits()`\n\n- Increase pending message/byte limits on the subscription object\n- This is a cc-lib change and would need a separate PR\n\n## Implementation Priority\n\n| # | Change | Impact | Effort |\n|---|--------|--------|--------|\n| 1 | Increase workers + channel buffer | **High** — parallelizes decoding, decouples callback | Low |\n| 2 | Increase WAL channel buffer | **Medium** — more burst headroom | Trivial |\n| 3 | Non-blocking WAL send | **High** — eliminates WAL as backpressure source | Low |\n| 4 | Batch WAL drain | **Medium** — reduces select overhead | Low |\n| 5 | cc-lib pending limits | **Medium** — increases NATS-side tolerance | Separate repo |\n\nChanges 1-4 are all in cc-backend and can be done together.\n\n## Files to Modify\n\n- `pkg/metricstore/metricstore.go` — worker count parameter (line 187)\n- `pkg/metricstore/lineprotocol.go` — channel buffer size (line 56), non-blocking WAL send (lines 350-359)\n- `pkg/metricstore/walCheckpoint.go` — WAL channel buffer (line 85), batch drain loop (lines 219-231)\n\n## Verification\n\n1. `go build ./...` — ensure compilation\n2. `go test ./pkg/metricstore/...` — run existing tests\n3. Deploy to a test cluster and monitor:\n   - Absence of \"slow consumer\" log messages\n   - WAL file growth rate (should be similar)\n   - Memory usage (larger channel buffers add ~few MB)\n   - `pending` and `dropped` counts from the NATS error handler in cc-lib\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/c276bf22-8137-44c9-a3e4-951a700f423f.jsonl"},"uuid":"dc9d1865-6087-4cef-b483-1acd956b7f10","timestamp":"2026-03-18T05:08:42.606Z","planContent":"# Metricstore NATS Slow Consumer Analysis & Improvements\n\n## Context\n\nThe metricstore NATS subscription triggers \"slow consumer, messages dropped\" warnings under load. The root cause is that the NATS message callback blocks for too long, causing the nats.go client to detect a slow consumer and drop messages from its internal pending buffer.\n\n## Root Cause Analysis\n\nThere are **three compounding bottlenecks** in the ingestion path:\n\n### 1. Single-threaded inline decoding (primary cause)\n- `metricstore.go:187` calls `ReceiveNats(ms, 1, ctx)` — **workers=1**\n- With workers=1, `DecodeLine()` runs **directly inside the NATS callback** (`lineprotocol.go:82-87`)\n- The NATS client cannot deliver the next message until the callback returns\n- Each `DecodeLine` call parses line protocol, acquires locks on the level tree, and may block on the WAL channel\n\n### 2. Blocking WAL channel send\n- `lineprotocol.go:351`: `WALMessages <- &WALMessage{...}` is a **blocking send**\n- The `WALMessages` channel has a buffer of only 4096 (`walCheckpoint.go:85`)\n- If the single WALStaging goroutine can't drain fast enough (file I/O), this blocks `DecodeLine`, which blocks the NATS callback\n- Under sustained load, the WAL channel fills up and becomes the dominant bottleneck\n\n### 3. Single WALStaging goroutine with per-message I/O\n- `WALStaging()` (`walCheckpoint.go:118-234`) runs as a **single goroutine**\n- It processes messages sequentially: open/lookup file handle → serialize → write via bufio\n- While bufio batches actual syscalls, the goroutine still handles one message at a time\n- File handle lookups (map access) and potential `MkdirAll` calls add latency\n\n### How nats.go detects slow consumers\nThe nats.go library maintains an internal per-subscription message queue. When the callback blocks, messages accumulate. Once the pending count/bytes exceed limits (default: 65536 messages / 64MB), it drops messages and reports \"slow consumer\".\n\n## Proposed Improvements\n\n### Change 1: Increase worker count and channel buffer\n**File:** `pkg/metricstore/metricstore.go:187` and `pkg/metricstore/lineprotocol.go:56`\n\n- Pass `Keys.NumWorkers` (or a dedicated config field) instead of hardcoded `1`\n- Increase the `msgs` channel buffer from `workers*2` to `workers*256` or a dedicated configurable value (default 16384)\n- This parallelizes `DecodeLine()` across multiple goroutines and decouples the NATS callback from processing\n\n```go\n// metricstore.go — change workers from 1 to NumWorkers\nerr = ReceiveNats(ms, Keys.NumWorkers, ctx)\n```\n\n```go\n// lineprotocol.go — larger channel buffer\nmsgs := make(chan []byte, max(workers*256, 8192))\n```\n\n### Change 2: Increase WAL channel buffer\n**File:** `pkg/metricstore/walCheckpoint.go:85`\n\n- Increase from 4096 to 65536 or higher\n- This gives the WAL staging goroutine more headroom during I/O bursts\n\n```go\nvar WALMessages = make(chan *WALMessage, 65536)\n```\n\n### Change 3: Make WAL send non-blocking with overflow logging\n**File:** `pkg/metricstore/lineprotocol.go:350-359`\n\n- Use a non-blocking send with `select/default` and log dropped WAL messages\n- The in-memory store write (line 361) already succeeded — WAL is for crash recovery only\n- A periodic binary snapshot will capture the data anyway; a few missed WAL entries between snapshots are acceptable\n\n```go\nif Keys.Checkpoints.FileFormat == \"wal\" {\n    select {\n    case WALMessages <- &WALMessage{...}:\n    default:\n        // WAL channel full — message written to memory store but not WAL.\n        // Next binary snapshot will capture it.\n    }\n}\n```\n\n### Change 4: Batch WAL writes in WALStaging\n**File:** `pkg/metricstore/walCheckpoint.go:219-231`\n\n- Drain multiple messages per iteration before going back to `select`\n- Periodically flush all writers (e.g., after draining or on a timer)\n\n```go\n// After processing one message from the channel, drain up to N more without blocking\nfor range 256 {\n    select {\n    case msg := <-WALMessages:\n        processMsg(msg)\n    default:\n        goto flushed\n    }\n}\nflushed:\n// Flush all dirty writers\n```\n\n### Change 5 (cc-lib, optional): Set subscription pending limits\n**File:** cc-lib `nats/client.go` — after `conn.Subscribe()`, call `sub.SetPendingLimits()`\n\n- Increase pending message/byte limits on the subscription object\n- This is a cc-lib change and would need a separate PR\n\n## Implementation Priority\n\n| # | Change | Impact | Effort |\n|---|--------|--------|--------|\n| 1 | Increase workers + channel buffer | **High** — parallelizes decoding, decouples callback | Low |\n| 2 | Increase WAL channel buffer | **Medium** — more burst headroom | Trivial |\n| 3 | Non-blocking WAL send | **High** — eliminates WAL as backpressure source | Low |\n| 4 | Batch WAL drain | **Medium** — reduces select overhead | Low |\n| 5 | cc-lib pending limits | **Medium** — increases NATS-side tolerance | Separate repo |\n\nChanges 1-4 are all in cc-backend and can be done together.\n\n## Files to Modify\n\n- `pkg/metricstore/metricstore.go` — worker count parameter (line 187)\n- `pkg/metricstore/lineprotocol.go` — channel buffer size (line 56), non-blocking WAL send (lines 350-359)\n- `pkg/metricstore/walCheckpoint.go` — WAL channel buffer (line 85), batch drain loop (lines 219-231)\n\n## Verification\n\n1. `go build ./...` — ensure compilation\n2. `go test ./pkg/metricstore/...` — run existing tests\n3. 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This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package metricstore provides an efficient in-memory time-series metric storage system\n     7→// with support for hierarchical data organization, checkpointing, and archiving.\n     8→//\n     9→// The package organizes metrics in a tree structure (cluster → host → component) and\n    10→// provides concurrent read/write access to metric data with configurable aggregation strategies.\n    11→// Background goroutines handle periodic checkpointing (JSON or Avro format), archiving old data,\n    12→// and enforcing retention policies.\n    13→//\n    14→// Key features:\n    15→//   - In-memory metric storage with configurable retention\n    16→//   - Hierarchical data organization (selectors)\n    17→//   - Concurrent checkpoint/archive workers\n    18→//   - Support for sum and average aggregation\n    19→//   - NATS integration for metric ingestion\n    20→package metricstore\n    21→\n    22→import (\n    23→\t\"bytes\"\n    24→\t\"context\"\n    25→\t\"encoding/json\"\n    26→\t\"errors\"\n    27→\t\"fmt\"\n    28→\t\"runtime\"\n    29→\t\"runtime/debug\"\n    30→\t\"slices\"\n    31→\t\"sync\"\n    32→\t\"time\"\n    33→\n    34→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    35→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    36→\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n    37→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    38→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n    39→)\n    40→\n    41→// GlobalState holds the global state for the metric store with thread-safe access.\n    42→type GlobalState struct {\n    43→\tmu                sync.RWMutex\n    44→\tlastRetentionTime int64\n    45→\tselectorsExcluded bool\n    46→}\n    47→\n    48→var (\n    49→\tsingleton  sync.Once\n    50→\tmsInstance *MemoryStore\n    51→\t// shutdownFunc stores the context cancellation function created in Init\n    52→\t// and is called during Shutdown to cancel all background goroutines\n    53→\tshutdownFunc   context.CancelFunc\n    54→\tshutdownFuncMu sync.Mutex // Protects shutdownFunc from concurrent access\n    55→\t// Create a global instance\n    56→\tstate = &GlobalState{}\n    57→)\n    58→\n    59→// NodeProvider provides information about nodes currently in use by running jobs.\n    60→//\n    61→// This interface allows metricstore to query job information without directly\n    62→// depending on the repository package, breaking the import cycle.\n    63→//\n    64→// Implementations should return nodes that are actively processing jobs started\n    65→// before the given timestamp. These nodes will be excluded from retention-based\n    66→// garbage collection to prevent data loss for jobs that are still running or\n    67→// recently completed.\n    68→type NodeProvider interface {\n    69→\t// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n    70→\t// that are currently in use by jobs that started before the given timestamp.\n    71→\t//\n    72→\t// Parameters:\n    73→\t//   - ts: Unix timestamp threshold - returns nodes with jobs started before this time\n    74→\t//\n    75→\t// Returns:\n    76→\t//   - Map of cluster names to lists of node hostnames that should be excluded from garbage collection\n    77→\t//   - Error if the query fails\n    78→\tGetUsedNodes(ts int64) (map[string][]string, error)\n    79→}\n    80→\n    81→// Metric represents a single metric data point to be written to the store.\n    82→type Metric struct {\n    83→\tName  string\n    84→\tValue schema.Float\n    85→\t// MetricConfig contains frequency and aggregation settings for this metric.\n    86→\t// If Frequency is 0, configuration will be looked up from MemoryStore.Metrics during Write().\n    87→\tMetricConfig MetricConfig\n    88→}\n    89→\n    90→// MemoryStore is the main in-memory time-series metric storage implementation.\n    91→//\n    92→// It organizes metrics in a hierarchical tree structure where each level represents\n    93→// a component of the system hierarchy (e.g., cluster → host → CPU). Each level can\n    94→// store multiple metrics as time-series buffers.\n    95→//\n    96→// The store is initialized as a singleton via InitMetrics() and accessed via GetMemoryStore().\n    97→// All public methods are safe for concurrent use.\n    98→type MemoryStore struct {\n    99→\tMetrics      map[string]MetricConfig\n   100→\troot         Level\n   101→\tnodeProvider NodeProvider\n   102→}\n   103→\n   104→// Init initializes the metric store from configuration and starts background workers.\n   105→//\n   106→// This function must be called exactly once before any other metricstore operations.\n   107→// It performs the following initialization steps:\n   108→//  1. Validates and decodes the metric store configuration\n   109→//  2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n   110→//  3. Loads metric configurations from all registered clusters\n   111→//  4. Restores checkpoints within the retention window\n   112→//  5. Starts background workers for retention, checkpointing, archiving, and monitoring\n   113→//  6. Optionally subscribes to NATS for real-time metric ingestion\n   114→//\n   115→// Parameters:\n   116→//   - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n   117→//   - wg: WaitGroup that will be incremented for each background goroutine started\n   118→//\n   119→// The function will call cclog.Fatal on critical errors during initialization.\n   120→// Use Shutdown() to cleanly stop all background workers started by Init().\n   121→//\n   122→// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n   123→// receiving termination signals to ensure checkpoint data is persisted.\n   124→func Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n   125→\tstartupTime := time.Now()\n   126→\n   127→\tif rawConfig != nil {\n   128→\t\tconfig.Validate(configSchema, rawConfig)\n   129→\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n   130→\t\tdec.DisallowUnknownFields()\n   131→\t\tif err := dec.Decode(&Keys); err != nil {\n   132→\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n   133→\t\t}\n   134→\t}\n   135→\n   136→\t// Set NumWorkers from config or use default\n   137→\tif Keys.NumWorkers <= 0 {\n   138→\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n   139→\t}\n   140→\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n   141→\n   142→\t// Pass the config.MetricStoreKeys\n   143→\tInitMetrics(metrics)\n   144→\n   145→\tms := GetMemoryStore()\n   146→\n   147→\td, err := time.ParseDuration(Keys.RetentionInMemory)\n   148→\tif err != nil {\n   149→\t\tcclog.Fatal(err)\n   150→\t}\n   151→\n   152→\trestoreFrom := startupTime.Add(-d)\n   153→\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n   154→\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n   155→\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n   156→\tif err != nil {\n   157→\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n   158→\t} else {\n   159→\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n   160→\t}\n   161→\n   162→\t// Try to use less memory by forcing a GC run here and then\n   163→\t// lowering the target percentage. The default of 100 means\n   164→\t// that only once the ratio of new allocations execeds the\n   165→\t// previously active heap, a GC is triggered.\n   166→\t// Forcing a GC here will set the \"previously active heap\"\n   167→\t// to a minumum.\n   168→\t// runtime.GC()\n   169→\n   170→\tctx, shutdown := context.WithCancel(context.Background())\n   171→\n   172→\tRetention(wg, ctx)\n   173→\tCheckpointing(wg, ctx)\n   174→\tCleanUp(wg, ctx)\n   175→\tWALStaging(wg, ctx)\n   176→\tMemoryUsageTracker(wg, ctx)\n   177→\n   178→\t// Note: Signal handling has been removed from this function.\n   179→\t// The caller is responsible for handling shutdown signals and calling\n   180→\t// the shutdown() function when appropriate.\n   181→\t// Store the shutdown function for later use by Shutdown()\n   182→\tshutdownFuncMu.Lock()\n   183→\tshutdownFunc = shutdown\n   184→\tshutdownFuncMu.Unlock()\n   185→\n   186→\tif Keys.Subscriptions != nil {\n   187→\t\terr = ReceiveNats(ms, 1, ctx)\n   188→\t\tif err != nil {\n   189→\t\t\tcclog.Fatal(err)\n   190→\t\t}\n   191→\t}\n   192→}\n   193→\n   194→// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n   195→//\n   196→// This function must be called before GetMemoryStore() and can only be called once due to\n   197→// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n   198→//\n   199→// Parameters:\n   200→//   - metrics: Map of metric names to their configurations (frequency and aggregation strategy)\n   201→//\n   202→// Panics if any metric has Frequency == 0, which indicates an invalid configuration.\n   203→//\n   204→// After this call, the global msInstance is ready for use via GetMemoryStore().\n   205→func InitMetrics(metrics map[string]MetricConfig) {\n   206→\tsingleton.Do(func() {\n   207→\t\toffset := 0\n   208→\t\tfor key, cfg := range metrics {\n   209→\t\t\tif cfg.Frequency == 0 {\n   210→\t\t\t\tpanic(\"[METRICSTORE]> invalid frequency\")\n   211→\t\t\t}\n   212→\n   213→\t\t\tmetrics[key] = MetricConfig{\n   214→\t\t\t\tFrequency:   cfg.Frequency,\n   215→\t\t\t\tAggregation: cfg.Aggregation,\n   216→\t\t\t\toffset:      offset,\n   217→\t\t\t}\n   218→\t\t\toffset += 1\n   219→\t\t}\n   220→\n   221→\t\tmsInstance = &MemoryStore{\n   222→\t\t\troot: Level{\n   223→\t\t\t\tmetrics:  make([]*buffer, len(metrics)),\n   224→\t\t\t\tchildren: make(map[string]*Level),\n   225→\t\t\t},\n   226→\t\t\tMetrics: metrics,\n   227→\t\t}\n   228→\t})\n   229→}\n   230→\n   231→// GetMemoryStore returns the singleton MemoryStore instance.\n   232→//\n   233→// Returns the initialized MemoryStore singleton. Calls cclog.Fatal if InitMetrics() was not called first.\n   234→//\n   235→// This function is safe for concurrent use after initialization.\n   236→func GetMemoryStore() *MemoryStore {\n   237→\tif msInstance == nil {\n   238→\t\tcclog.Warnf(\"[METRICSTORE]> MemoryStore not initialized!\")\n   239→\t}\n   240→\n   241→\treturn msInstance\n   242→}\n   243→\n   244→func (ms *MemoryStore) GetMetricFrequency(metricName string) (int64, error) {\n   245→\tif metric, ok := ms.Metrics[metricName]; ok {\n   246→\t\treturn metric.Frequency, nil\n   247→\t}\n   248→\treturn 0, fmt.Errorf(\"[METRICSTORE]> metric %s not found\", metricName)\n   249→}\n   250→\n   251→// SetNodeProvider sets the NodeProvider implementation for the MemoryStore.\n   252→// This must be called during initialization to provide job state information\n   253→// for selective buffer retention during Free operations.\n   254→// If not set, the Free function will fall back to freeing all buffers.\n   255→func (ms *MemoryStore) SetNodeProvider(provider NodeProvider) {\n   256→\tms.nodeProvider = provider\n   257→}\n   258→\n   259→// Shutdown performs a graceful shutdown of the metric store.\n   260→//\n   261→// This function cancels all background goroutines started by Init() and writes\n   262→// a final checkpoint to disk before returning. It should be called when the\n   263→// application receives a termination signal.\n   264→//\n   265→// The function will:\n   266→//  1. Cancel the context to stop all background workers\n   267→//  2. Close the WAL messages channel if using WAL format\n   268→//  3. Write a final checkpoint to preserve in-memory data\n   269→//  4. Log any errors encountered during shutdown\n   270→//\n   271→// Note: This function blocks until the final checkpoint is written.\n   272→func Shutdown() {\n   273→\tshutdownFuncMu.Lock()\n   274→\tdefer shutdownFuncMu.Unlock()\n   275→\tif shutdownFunc != nil {\n   276→\t\tshutdownFunc()\n   277→\t}\n   278→\n   279→\tif Keys.Checkpoints.FileFormat == \"wal\" {\n   280→\t\tclose(WALMessages)\n   281→\t}\n   282→\n   283→\tcclog.Infof(\"[METRICSTORE]> Writing to '%s'...\\n\", Keys.Checkpoints.RootDir)\n   284→\tvar files int\n   285→\tvar err error\n   286→\n   287→\tms := GetMemoryStore()\n   288→\n   289→\tlastCheckpointMu.Lock()\n   290→\tfrom := lastCheckpoint\n   291→\tlastCheckpointMu.Unlock()\n   292→\n   293→\tif Keys.Checkpoints.FileFormat == \"wal\" {\n   294→\t\tvar hostDirs []string\n   295→\t\tfiles, hostDirs, err = ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n   296→\t\tif err == nil {\n   297→\t\t\tRotateWALFilesAfterShutdown(hostDirs)\n   298→\t\t}\n   299→\t} else {\n   300→\t\tfiles, err = ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n   301→\t}\n   302→\n   303→\tif err != nil {\n   304→\t\tcclog.Errorf(\"[METRICSTORE]> Writing checkpoint failed: %s\\n\", err.Error())\n   305→\t}\n   306→\tcclog.Infof(\"[METRICSTORE]> Done! (%d files written)\\n\", files)\n   307→}\n   308→\n   309→// Retention starts a background goroutine that periodically frees old metric data.\n   310→//\n   311→// This worker runs at half the retention interval and calls Free() to remove buffers\n   312→// older than the configured retention time. It respects the NodeProvider to preserve\n   313→// data for nodes with active jobs.\n   314→//\n   315→// Parameters:\n   316→//   - wg: WaitGroup to signal completion when context is cancelled\n   317→//   - ctx: Context for cancellation signal\n   318→//\n   319→// The goroutine exits when ctx is cancelled.\n   320→func Retention(wg *sync.WaitGroup, ctx context.Context) {\n   321→\tms := GetMemoryStore()\n   322→\n   323→\twg.Go(func() {\n   324→\t\td, err := time.ParseDuration(Keys.RetentionInMemory)\n   325→\t\tif err != nil {\n   326→\t\t\tcclog.Fatal(err)\n   327→\t\t}\n   328→\t\tif d <= 0 {\n   329→\t\t\treturn\n   330→\t\t}\n   331→\n   332→\t\ttickInterval := d / 2\n   333→\t\tif tickInterval <= 0 {\n   334→\t\t\treturn\n   335→\t\t}\n   336→\t\tticker := time.NewTicker(tickInterval)\n   337→\t\tdefer ticker.Stop()\n   338→\n   339→\t\tfor {\n   340→\t\t\tselect {\n   341→\t\t\tcase <-ctx.Done():\n   342→\t\t\t\treturn\n   343→\t\t\tcase <-ticker.C:\n   344→\t\t\t\tstate.mu.Lock()\n   345→\n   346→\t\t\t\tt := time.Now().Add(-d)\n   347→\n   348→\t\t\t\tstate.lastRetentionTime = t.Unix()\n   349→\n   350→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start freeing buffers (older than %s)...\\n\", t.Format(time.RFC3339))\n   351→\n   352→\t\t\t\tfreed, err := Free(ms, t)\n   353→\t\t\t\tif err != nil {\n   354→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> freeing up buffers failed: %s\\n\", err.Error())\n   355→\t\t\t\t} else {\n   356→\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d buffers freed\\n\", freed)\n   357→\t\t\t\t}\n   358→\n   359→\t\t\t\tstate.mu.Unlock()\n   360→\n   361→\t\t\t\t// Clean up the buffer pool\n   362→\t\t\t\tbufferPool.Clean(state.lastRetentionTime)\n   363→\t\t\t}\n   364→\t\t}\n   365→\t})\n   366→}\n   367→\n   368→// MemoryUsageTracker starts a background goroutine that monitors memory usage.\n   369→//\n   370→// This worker checks actual process memory usage (via runtime.MemStats) periodically\n   371→// and force-frees buffers if memory exceeds the configured cap. It uses FreeOSMemory()\n   372→// to return memory to the OS after freeing buffers, avoiding aggressive GC that causes\n   373→// performance issues.\n   374→//\n   375→// The tracker logs both actual memory usage (heap allocated) and metric data size for\n   376→// visibility into memory overhead from Go runtime structures and allocations.\n   377→//\n   378→// Parameters:\n   379→//   - wg: WaitGroup to signal completion when context is cancelled\n   380→//   - ctx: Context for cancellation signal\n   381→//\n   382→// The goroutine exits when ctx is cancelled.\n   383→func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n   384→\tms := GetMemoryStore()\n   385→\n   386→\twg.Go(func() {\n   387→\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n   388→\t\tfastInterval := 30 * time.Second\n   389→\n   390→\t\tif normalInterval <= 0 {\n   391→\t\t\treturn\n   392→\t\t}\n   393→\n   394→\t\tticker := time.NewTicker(normalInterval)\n   395→\t\tdefer ticker.Stop()\n   396→\t\tcurrentInterval := normalInterval\n   397→\n   398→\t\tfor {\n   399→\t\t\tselect {\n   400→\t\t\tcase <-ctx.Done():\n   401→\t\t\t\treturn\n   402→\t\t\tcase <-ticker.C:\n   403→\t\t\t\tvar mem runtime.MemStats\n   404→\t\t\t\truntime.ReadMemStats(&mem)\n   405→\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n   406→\t\t\t\tmetricDataGB := ms.SizeInGB()\n   407→\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n   408→\n   409→\t\t\t\tfreedExcluded := 0\n   410→\t\t\t\tfreedEmergency := 0\n   411→\t\t\t\tvar err error\n   412→\n   413→\t\t\t\tstate.mu.RLock()\n   414→\t\t\t\tlastRetention := state.lastRetentionTime\n   415→\t\t\t\tselectorsExcluded := state.selectorsExcluded\n   416→\t\t\t\tstate.mu.RUnlock()\n   417→\n   418→\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n   419→\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n   420→\t\t\t\t\tif err != nil {\n   421→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n   422→\t\t\t\t\t}\n   423→\n   424→\t\t\t\t\tif freedExcluded > 0 {\n   425→\t\t\t\t\t\tdebug.FreeOSMemory()\n   426→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n   427→\t\t\t\t\t}\n   428→\t\t\t\t}\n   429→\n   430→\t\t\t\truntime.ReadMemStats(&mem)\n   431→\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n   432→\n   433→\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n   434→\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n   435→\n   436→\t\t\t\t\t// Use progressive time-based Free with increasing threshold\n   437→\t\t\t\t\t// instead of ForceFree loop — fewer tree traversals, more effective\n   438→\t\t\t\t\td, parseErr := time.ParseDuration(Keys.RetentionInMemory)\n   439→\t\t\t\t\tif parseErr != nil {\n   440→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> cannot parse retention duration: %s\", parseErr)\n   441→\t\t\t\t\t} else {\n   442→\t\t\t\t\t\tthresholds := []float64{0.75, 0.5, 0.25}\n   443→\t\t\t\t\t\tfor _, fraction := range thresholds {\n   444→\t\t\t\t\t\t\tthreshold := time.Now().Add(-time.Duration(float64(d) * fraction))\n   445→\t\t\t\t\t\t\tfreed, freeErr := ms.Free(nil, threshold.Unix())\n   446→\t\t\t\t\t\t\tif freeErr != nil {\n   447→\t\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s\", fraction*100, freeErr)\n   448→\t\t\t\t\t\t\t}\n   449→\t\t\t\t\t\t\tfreedEmergency += freed\n   450→\n   451→\t\t\t\t\t\t\tbufferPool.Clear()\n   452→\t\t\t\t\t\t\truntime.GC()\n   453→\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n   454→\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n   455→\n   456→\t\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n   457→\t\t\t\t\t\t\t\tbreak\n   458→\t\t\t\t\t\t\t}\n   459→\t\t\t\t\t\t}\n   460→\t\t\t\t\t}\n   461→\n   462→\t\t\t\t\tbufferPool.Clear()\n   463→\t\t\t\t\tdebug.FreeOSMemory()\n   464→\n   465→\t\t\t\t\truntime.ReadMemStats(&mem)\n   466→\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n   467→\n   468→\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n   469→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after emergency frees (%d buffers), memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n   470→\t\t\t\t\t} else {\n   471→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n   472→\t\t\t\t\t}\n   473→\t\t\t\t}\n   474→\n   475→\t\t\t\t// Adaptive ticker: check more frequently when memory is high\n   476→\t\t\t\tmemoryRatio := actualMemoryGB / float64(Keys.MemoryCap)\n   477→\t\t\t\tif memoryRatio > 0.8 && currentInterval != fastInterval {\n   478→\t\t\t\t\tticker.Reset(fastInterval)\n   479→\t\t\t\t\tcurrentInterval = fastInterval\n   480→\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)\", memoryRatio*100)\n   481→\t\t\t\t} else if memoryRatio <= 0.8 && currentInterval != normalInterval {\n   482→\t\t\t\t\tticker.Reset(normalInterval)\n   483→\t\t\t\t\tcurrentInterval = normalInterval\n   484→\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval\", memoryRatio*100)\n   485→\t\t\t\t}\n   486→\t\t\t}\n   487→\t\t}\n   488→\t})\n   489→}\n   490→\n   491→// Free removes metric data older than the given time while preserving data for active nodes.\n   492→//\n   493→// This function implements intelligent retention by consulting the NodeProvider (if configured)\n   494→// to determine which nodes are currently in use by running jobs. Data for these nodes is\n   495→// preserved even if older than the retention time.\n   496→//\n   497→// Parameters:\n   498→//   - ms: The MemoryStore instance\n   499→//   - t: Time threshold - buffers with data older than this will be freed\n   500→//\n   501→// Returns:\n   502→//   - Number of buffers freed\n   503→//   - Error if NodeProvider query fails\n   504→//\n   505→// Behavior:\n   506→//   - If no NodeProvider is set: frees all buffers older than t\n   507→//   - If NodeProvider returns empty map: frees all buffers older than t\n   508→//   - Otherwise: preserves buffers for nodes returned by GetUsedNodes(), frees others\n   509→func Free(ms *MemoryStore, t time.Time) (int, error) {\n   510→\t// If no NodeProvider is configured, free all buffers older than t\n   511→\tif ms.nodeProvider == nil {\n   512→\t\treturn ms.Free(nil, t.Unix())\n   513→\t}\n   514→\n   515→\texcludeSelectors, err := ms.nodeProvider.GetUsedNodes(t.Unix())\n   516→\tif err != nil {\n   517→\t\treturn 0, err\n   518→\t}\n   519→\n   520→\tswitch lenMap := len(excludeSelectors); lenMap {\n   521→\n   522→\t// If the length of the map returned by GetUsedNodes() is 0,\n   523→\t// then use default Free method with nil selector\n   524→\tcase 0:\n   525→\t\tstate.selectorsExcluded = false\n   526→\t\treturn ms.Free(nil, t.Unix())\n   527→\n   528→\t// Else formulate selectors, exclude those from the map\n   529→\t// and free the rest of the selectors\n   530→\tdefault:\n   531→\t\tstate.selectorsExcluded = true\n   532→\t\tselectors := GetSelectors(ms, excludeSelectors)\n   533→\t\treturn FreeSelected(ms, selectors, t)\n   534→\t}\n   535→}\n   536→\n   537→// FreeSelected frees buffers for specific selectors while preserving others.\n   538→//\n   539→// This function is used when we want to retain some specific nodes beyond the retention time.\n   540→// It iterates through the provided selectors and frees their associated buffers.\n   541→//\n   542→// Parameters:\n   543→//   - ms: The MemoryStore instance\n   544→//   - selectors: List of selector paths to free (e.g., [[\"cluster1\", \"node1\"], [\"cluster2\", \"node2\"]])\n   545→//   - t: Time threshold for freeing buffers\n   546→//\n   547→// Returns the total number of buffers freed and any error encountered.\n   548→func FreeSelected(ms *MemoryStore, selectors [][]string, t time.Time) (int, error) {\n   549→\tfreed := 0\n   550→\n   551→\tfor _, selector := range selectors {\n   552→\n   553→\t\tfreedBuffers, err := ms.Free(selector, t.Unix())\n   554→\t\tif err != nil {\n   555→\t\t\tcclog.Errorf(\"error while freeing selected buffers: %#v\", err)\n   556→\t\t}\n   557→\t\tfreed += freedBuffers\n   558→\n   559→\t}\n   560→\n   561→\treturn freed, nil\n   562→}\n   563→\n   564→// GetSelectors returns all selectors at depth 2 (cluster/node level) that are NOT in the exclusion map.\n   565→//\n   566→// This function generates a list of selectors whose buffers should be freed by excluding\n   567→// selectors that correspond to nodes currently in use by running jobs.\n   568→//\n   569→// Parameters:\n   570→//   - ms: The MemoryStore instance\n   571→//   - excludeSelectors: Map of cluster names to node hostnames that should NOT be freed\n   572→//\n   573→// Returns a list of selectors ([]string paths) that can be safely freed.\n   574→//\n   575→// Example:\n   576→//\n   577→//\tIf the tree has paths [\"emmy\", \"node001\"] and [\"emmy\", \"node002\"],\n   578→//\tand excludeSelectors contains {\"emmy\": [\"node001\"]},\n   579→//\tthen only [[\"emmy\", \"node002\"]] is returned.\n   580→func GetSelectors(ms *MemoryStore, excludeSelectors map[string][]string) [][]string {\n   581→\tallSelectors := ms.GetPaths(2)\n   582→\n   583→\tfilteredSelectors := make([][]string, 0, len(allSelectors))\n   584→\n   585→\tfor _, path := range allSelectors {\n   586→\t\tif len(path) < 2 {\n   587→\t\t\tcontinue\n   588→\t\t}\n   589→\n   590→\t\tkey := path[0]   // The \"Key\" (Level 1)\n   591→\t\tvalue := path[1] // The \"Value\" (Level 2)\n   592→\n   593→\t\texclude := false\n   594→\n   595→\t\t// Check if the key exists in our exclusion map\n   596→\t\tif excludedValues, exists := excludeSelectors[key]; exists {\n   597→\t\t\t// The key exists, now check if the specific value is in the exclusion list\n   598→\t\t\tif slices.Contains(excludedValues, value) {\n   599→\t\t\t\texclude = true\n   600→\t\t\t}\n   601→\t\t}\n   602→\n   603→\t\tif !exclude {\n   604→\t\t\tfilteredSelectors = append(filteredSelectors, path)\n   605→\t\t}\n   606→\t}\n   607→\n   608→\treturn filteredSelectors\n   609→}\n   610→\n   611→// GetPaths returns a list of lists (paths) to the specified depth.\n   612→func (ms *MemoryStore) GetPaths(targetDepth int) [][]string {\n   613→\tvar results [][]string\n   614→\n   615→\t// Start recursion. Initial path is empty.\n   616→\t// We treat Root as depth 0.\n   617→\tms.root.collectPaths(0, targetDepth, []string{}, &results)\n   618→\n   619→\treturn results\n   620→}\n   621→\n   622→// Write all values in `metrics` to the level specified by `selector` for time `ts`.\n   623→// Look at `findLevelOrCreate` for how selectors work.\n   624→func (m *MemoryStore) Write(selector []string, ts int64, metrics []Metric) error {\n   625→\tvar ok bool\n   626→\tfor i, metric := range metrics {\n   627→\t\tif metric.MetricConfig.Frequency == 0 {\n   628→\t\t\tmetric.MetricConfig, ok = m.Metrics[metric.Name]\n   629→\t\t\tif !ok {\n   630→\t\t\t\tcclog.Debugf(\"[METRICSTORE]> Unknown metric '%s' in Write() - skipping\", metric.Name)\n   631→\t\t\t\tmetric.MetricConfig.Frequency = 0\n   632→\t\t\t}\n   633→\t\t\tmetrics[i] = metric\n   634→\t\t}\n   635→\t}\n   636→\n   637→\treturn m.WriteToLevel(&m.root, selector, ts, metrics)\n   638→}\n   639→\n   640→func (m *MemoryStore) GetLevel(selector []string) *Level {\n   641→\treturn m.root.findLevelOrCreate(selector, len(m.Metrics))\n   642→}\n   643→\n   644→// WriteToLevel assumes that `minfo` in `metrics` is filled in\n   645→func (m *MemoryStore) WriteToLevel(l *Level, selector []string, ts int64, metrics []Metric) error {\n   646→\tl = l.findLevelOrCreate(selector, len(m.Metrics))\n   647→\tl.lock.Lock()\n   648→\tdefer l.lock.Unlock()\n   649→\n   650→\tfor _, metric := range metrics {\n   651→\t\tif metric.MetricConfig.Frequency == 0 {\n   652→\t\t\tcontinue\n   653→\t\t}\n   654→\n   655→\t\tb := l.metrics[metric.MetricConfig.offset]\n   656→\t\tif b == nil {\n   657→\t\t\t// First write to this metric and level\n   658→\t\t\tb = newBuffer(ts, metric.MetricConfig.Frequency)\n   659→\t\t\tl.metrics[metric.MetricConfig.offset] = b\n   660→\t\t}\n   661→\n   662→\t\tnb, err := b.write(ts, metric.Value)\n   663→\t\tif err != nil {\n   664→\t\t\treturn err\n   665→\t\t}\n   666→\n   667→\t\t// Last write created a new buffer...\n   668→\t\tif b != nb {\n   669→\t\t\tl.metrics[metric.MetricConfig.offset] = nb\n   670→\t\t}\n   671→\t}\n   672→\treturn nil\n   673→}\n   674→\n   675→// Read returns all values for metric `metric` from `from` to `to` for the selected level(s).\n   676→// If the level does not hold the metric itself, the data will be aggregated recursively from the children.\n   677→// The second and third return value are the actual from/to for the data. Those can be different from\n   678→// the range asked for if no data was available.\n   679→func (m *MemoryStore) Read(selector util.Selector, metric string, from, to, resolution int64) ([]schema.Float, int64, int64, int64, error) {\n   680→\tif from > to {\n   681→\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid time range\")\n   682→\t}\n   683→\n   684→\tminfo, ok := m.Metrics[metric]\n   685→\tif !ok {\n   686→\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> unknown metric: \" + metric)\n   687→\t}\n   688→\n   689→\tn, data := 0, make([]schema.Float, (to-from)/minfo.Frequency+1)\n   690→\n   691→\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n   692→\t\tcdata, cfrom, cto, err := b.read(from, to, data)\n   693→\t\tif err != nil {\n   694→\t\t\treturn err\n   695→\t\t}\n   696→\n   697→\t\tif n == 0 {\n   698→\t\t\tfrom, to = cfrom, cto\n   699→\t\t} else if from != cfrom || to != cto || len(data) != len(cdata) {\n   700→\t\t\tmissingfront, missingback := int((from-cfrom)/minfo.Frequency), int((to-cto)/minfo.Frequency)\n   701→\t\t\tif missingfront != 0 {\n   702→\t\t\t\treturn ErrDataDoesNotAlign\n   703→\t\t\t}\n   704→\n   705→\t\t\tnewlen := len(cdata) - missingback\n   706→\t\t\tif newlen < 1 {\n   707→\t\t\t\treturn ErrDataDoesNotAlign\n   708→\t\t\t}\n   709→\t\t\tcdata = cdata[0:newlen]\n   710→\t\t\tif len(cdata) != len(data) {\n   711→\t\t\t\treturn ErrDataDoesNotAlign\n   712→\t\t\t}\n   713→\n   714→\t\t\tfrom, to = cfrom, cto\n   715→\t\t}\n   716→\n   717→\t\tdata = cdata\n   718→\t\tn += 1\n   719→\t\treturn nil\n   720→\t})\n   721→\n   722→\tif err != nil {\n   723→\t\treturn nil, 0, 0, 0, err\n   724→\t} else if n == 0 {\n   725→\t\treturn nil, 0, 0, 0, ErrNoHostOrMetric\n   726→\t} else if n > 1 {\n   727→\t\tif minfo.Aggregation == AvgAggregation {\n   728→\t\t\tnormalize := 1. / schema.Float(n)\n   729→\t\t\tfor i := 0; i < len(data); i++ {\n   730→\t\t\t\tdata[i] *= normalize\n   731→\t\t\t}\n   732→\t\t} else if minfo.Aggregation != SumAggregation {\n   733→\t\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid aggregation\")\n   734→\t\t}\n   735→\t}\n   736→\n   737→\tdata, resolution, err = resampler.LargestTriangleThreeBucket(data, minfo.Frequency, resolution)\n   738→\tif err != nil {\n   739→\t\treturn nil, 0, 0, 0, err\n   740→\t}\n   741→\n   742→\treturn data, from, to, resolution, nil\n   743→}\n   744→\n   745→// Free releases all buffers for the selected level and all its children that\n   746→// contain only values older than `t`.\n   747→func (m *MemoryStore) Free(selector []string, t int64) (int, error) {\n   748→\treturn m.GetLevel(selector).free(t)\n   749→}\n   750→\n   751→// ForceFree unconditionally removes the oldest buffer from each metric chain.\n   752→func (m *MemoryStore) ForceFree() (int, error) {\n   753→\treturn m.GetLevel(nil).forceFree()\n   754→}\n   755→\n   756→func (m *MemoryStore) FreeAll() error {\n   757→\tm.root.lock.Lock()\n   758→\tdefer m.root.lock.Unlock()\n   759→\n   760→\tfor k := range m.root.children {\n   761→\t\tdelete(m.root.children, k)\n   762→\t}\n   763→\n   764→\treturn nil\n   765→}\n   766→\n   767→func (m *MemoryStore) SizeInBytes() int64 {\n   768→\treturn m.root.sizeInBytes()\n   769→}\n   770→\n   771→func (m *MemoryStore) SizeInGB() float64 {\n   772→\treturn float64(m.root.sizeInBytes()) / 1e9\n   773→}\n   774→\n   775→// ListChildren , given a selector, returns a list of all children of the level\n   776→// selected.\n   777→func (m *MemoryStore) ListChildren(selector []string) []string {\n   778→\tlvl := &m.root\n   779→\tfor lvl != nil && len(selector) != 0 {\n   780→\t\tlvl.lock.RLock()\n   781→\t\tnext := lvl.children[selector[0]]\n   782→\t\tlvl.lock.RUnlock()\n   783→\t\tlvl = next\n   784→\t\tselector = selector[1:]\n   785→\t}\n   786→\n   787→\tif lvl == nil {\n   788→\t\treturn nil\n   789→\t}\n   790→\n   791→\tlvl.lock.RLock()\n   792→\tdefer lvl.lock.RUnlock()\n   793→\n   794→\tchildren := make([]string, 0, len(lvl.children))\n   795→\tfor child := range lvl.children {\n   796→\t\tchildren = append(children, child)\n   797→\t}\n   798→\n   799→\treturn children\n   800→}\n   801→"}]},"uuid":"0647179d-caa7-4a0f-b6aa-108a2805f2bf","timestamp":"2026-03-18T05:08:47.882Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides an efficient in-memory time-series metric storage system\n// with support for hierarchical data organization, checkpointing, and archiving.\n//\n// The package organizes metrics in a tree structure (cluster → host → component) and\n// provides concurrent read/write access to metric data with configurable aggregation strategies.\n// Background goroutines handle periodic checkpointing (JSON or Avro format), archiving old data,\n// and enforcing retention policies.\n//\n// Key features:\n//   - In-memory metric storage with configurable retention\n//   - Hierarchical data organization (selectors)\n//   - Concurrent checkpoint/archive workers\n//   - Support for sum and average aggregation\n//   - NATS integration for metric ingestion\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"runtime\"\n\t\"runtime/debug\"\n\t\"slices\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// GlobalState holds the global state for the metric store with thread-safe access.\ntype GlobalState struct {\n\tmu                sync.RWMutex\n\tlastRetentionTime int64\n\tselectorsExcluded bool\n}\n\nvar (\n\tsingleton  sync.Once\n\tmsInstance *MemoryStore\n\t// shutdownFunc stores the context cancellation function created in Init\n\t// and is called during Shutdown to cancel all background goroutines\n\tshutdownFunc   context.CancelFunc\n\tshutdownFuncMu sync.Mutex // Protects shutdownFunc from concurrent access\n\t// Create a global instance\n\tstate = &GlobalState{}\n)\n\n// NodeProvider provides information about nodes currently in use by running jobs.\n//\n// This interface allows metricstore to query job information without directly\n// depending on the repository package, breaking the import cycle.\n//\n// Implementations should return nodes that are actively processing jobs started\n// before the given timestamp. These nodes will be excluded from retention-based\n// garbage collection to prevent data loss for jobs that are still running or\n// recently completed.\ntype NodeProvider interface {\n\t// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n\t// that are currently in use by jobs that started before the given timestamp.\n\t//\n\t// Parameters:\n\t//   - ts: Unix timestamp threshold - returns nodes with jobs started before this time\n\t//\n\t// Returns:\n\t//   - Map of cluster names to lists of node hostnames that should be excluded from garbage collection\n\t//   - Error if the query fails\n\tGetUsedNodes(ts int64) (map[string][]string, error)\n}\n\n// Metric represents a single metric data point to be written to the store.\ntype Metric struct {\n\tName  string\n\tValue schema.Float\n\t// MetricConfig contains frequency and aggregation settings for this metric.\n\t// If Frequency is 0, configuration will be looked up from MemoryStore.Metrics during Write().\n\tMetricConfig MetricConfig\n}\n\n// MemoryStore is the main in-memory time-series metric storage implementation.\n//\n// It organizes metrics in a hierarchical tree structure where each level represents\n// a component of the system hierarchy (e.g., cluster → host → CPU). Each level can\n// store multiple metrics as time-series buffers.\n//\n// The store is initialized as a singleton via InitMetrics() and accessed via GetMemoryStore().\n// All public methods are safe for concurrent use.\ntype MemoryStore struct {\n\tMetrics      map[string]MetricConfig\n\troot         Level\n\tnodeProvider NodeProvider\n}\n\n// Init initializes the metric store from configuration and starts background workers.\n//\n// This function must be called exactly once before any other metricstore operations.\n// It performs the following initialization steps:\n//  1. Validates and decodes the metric store configuration\n//  2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n//  3. Loads metric configurations from all registered clusters\n//  4. Restores checkpoints within the retention window\n//  5. Starts background workers for retention, checkpointing, archiving, and monitoring\n//  6. Optionally subscribes to NATS for real-time metric ingestion\n//\n// Parameters:\n//   - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n//   - wg: WaitGroup that will be incremented for each background goroutine started\n//\n// The function will call cclog.Fatal on critical errors during initialization.\n// Use Shutdown() to cleanly stop all background workers started by Init().\n//\n// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n// receiving termination signals to ensure checkpoint data is persisted.\nfunc Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n\tstartupTime := time.Now()\n\n\tif rawConfig != nil {\n\t\tconfig.Validate(configSchema, rawConfig)\n\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n\t\tdec.DisallowUnknownFields()\n\t\tif err := dec.Decode(&Keys); err != nil {\n\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n\t\t}\n\t}\n\n\t// Set NumWorkers from config or use default\n\tif Keys.NumWorkers <= 0 {\n\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n\t}\n\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n\n\t// Pass the config.MetricStoreKeys\n\tInitMetrics(metrics)\n\n\tms := GetMemoryStore()\n\n\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\tif err != nil {\n\t\tcclog.Fatal(err)\n\t}\n\n\trestoreFrom := startupTime.Add(-d)\n\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n\tif err != nil {\n\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n\t} else {\n\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n\t}\n\n\t// Try to use less memory by forcing a GC run here and then\n\t// lowering the target percentage. The default of 100 means\n\t// that only once the ratio of new allocations execeds the\n\t// previously active heap, a GC is triggered.\n\t// Forcing a GC here will set the \"previously active heap\"\n\t// to a minumum.\n\t// runtime.GC()\n\n\tctx, shutdown := context.WithCancel(context.Background())\n\n\tRetention(wg, ctx)\n\tCheckpointing(wg, ctx)\n\tCleanUp(wg, ctx)\n\tWALStaging(wg, ctx)\n\tMemoryUsageTracker(wg, ctx)\n\n\t// Note: Signal handling has been removed from this function.\n\t// The caller is responsible for handling shutdown signals and calling\n\t// the shutdown() function when appropriate.\n\t// Store the shutdown function for later use by Shutdown()\n\tshutdownFuncMu.Lock()\n\tshutdownFunc = shutdown\n\tshutdownFuncMu.Unlock()\n\n\tif Keys.Subscriptions != nil {\n\t\terr = ReceiveNats(ms, 1, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t}\n}\n\n// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n//\n// This function must be called before GetMemoryStore() and can only be called once due to\n// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n//\n// Parameters:\n//   - metrics: Map of metric names to their configurations (frequency and aggregation strategy)\n//\n// Panics if any metric has Frequency == 0, which indicates an invalid configuration.\n//\n// After this call, the global msInstance is ready for use via GetMemoryStore().\nfunc InitMetrics(metrics map[string]MetricConfig) {\n\tsingleton.Do(func() {\n\t\toffset := 0\n\t\tfor key, cfg := range metrics {\n\t\t\tif cfg.Frequency == 0 {\n\t\t\t\tpanic(\"[METRICSTORE]> invalid frequency\")\n\t\t\t}\n\n\t\t\tmetrics[key] = MetricConfig{\n\t\t\t\tFrequency:   cfg.Frequency,\n\t\t\t\tAggregation: cfg.Aggregation,\n\t\t\t\toffset:      offset,\n\t\t\t}\n\t\t\toffset += 1\n\t\t}\n\n\t\tmsInstance = &MemoryStore{\n\t\t\troot: Level{\n\t\t\t\tmetrics:  make([]*buffer, len(metrics)),\n\t\t\t\tchildren: make(map[string]*Level),\n\t\t\t},\n\t\t\tMetrics: metrics,\n\t\t}\n\t})\n}\n\n// GetMemoryStore returns the singleton MemoryStore instance.\n//\n// Returns the initialized MemoryStore singleton. Calls cclog.Fatal if InitMetrics() was not called first.\n//\n// This function is safe for concurrent use after initialization.\nfunc GetMemoryStore() *MemoryStore {\n\tif msInstance == nil {\n\t\tcclog.Warnf(\"[METRICSTORE]> MemoryStore not initialized!\")\n\t}\n\n\treturn msInstance\n}\n\nfunc (ms *MemoryStore) GetMetricFrequency(metricName string) (int64, error) {\n\tif metric, ok := ms.Metrics[metricName]; ok {\n\t\treturn metric.Frequency, nil\n\t}\n\treturn 0, fmt.Errorf(\"[METRICSTORE]> metric %s not found\", metricName)\n}\n\n// SetNodeProvider sets the NodeProvider implementation for the MemoryStore.\n// This must be called during initialization to provide job state information\n// for selective buffer retention during Free operations.\n// If not set, the Free function will fall back to freeing all buffers.\nfunc (ms *MemoryStore) SetNodeProvider(provider NodeProvider) {\n\tms.nodeProvider = provider\n}\n\n// Shutdown performs a graceful shutdown of the metric store.\n//\n// This function cancels all background goroutines started by Init() and writes\n// a final checkpoint to disk before returning. It should be called when the\n// application receives a termination signal.\n//\n// The function will:\n//  1. Cancel the context to stop all background workers\n//  2. Close the WAL messages channel if using WAL format\n//  3. Write a final checkpoint to preserve in-memory data\n//  4. Log any errors encountered during shutdown\n//\n// Note: This function blocks until the final checkpoint is written.\nfunc Shutdown() {\n\tshutdownFuncMu.Lock()\n\tdefer shutdownFuncMu.Unlock()\n\tif shutdownFunc != nil {\n\t\tshutdownFunc()\n\t}\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tclose(WALMessages)\n\t}\n\n\tcclog.Infof(\"[METRICSTORE]> Writing to '%s'...\\n\", Keys.Checkpoints.RootDir)\n\tvar files int\n\tvar err error\n\n\tms := GetMemoryStore()\n\n\tlastCheckpointMu.Lock()\n\tfrom := lastCheckpoint\n\tlastCheckpointMu.Unlock()\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tvar hostDirs []string\n\t\tfiles, hostDirs, err = ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t\tif err == nil {\n\t\t\tRotateWALFilesAfterShutdown(hostDirs)\n\t\t}\n\t} else {\n\t\tfiles, err = ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t}\n\n\tif err != nil {\n\t\tcclog.Errorf(\"[METRICSTORE]> Writing checkpoint failed: %s\\n\", err.Error())\n\t}\n\tcclog.Infof(\"[METRICSTORE]> Done! (%d files written)\\n\", files)\n}\n\n// Retention starts a background goroutine that periodically frees old metric data.\n//\n// This worker runs at half the retention interval and calls Free() to remove buffers\n// older than the configured retention time. It respects the NodeProvider to preserve\n// data for nodes with active jobs.\n//\n// Parameters:\n//   - wg: WaitGroup to signal completion when context is cancelled\n//   - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc Retention(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\ttickInterval := d / 2\n\t\tif tickInterval <= 0 {\n\t\t\treturn\n\t\t}\n\t\tticker := time.NewTicker(tickInterval)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tstate.mu.Lock()\n\n\t\t\t\tt := time.Now().Add(-d)\n\n\t\t\t\tstate.lastRetentionTime = t.Unix()\n\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start freeing buffers (older than %s)...\\n\", t.Format(time.RFC3339))\n\n\t\t\t\tfreed, err := Free(ms, t)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> freeing up buffers failed: %s\\n\", err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d buffers freed\\n\", freed)\n\t\t\t\t}\n\n\t\t\t\tstate.mu.Unlock()\n\n\t\t\t\t// Clean up the buffer pool\n\t\t\t\tbufferPool.Clean(state.lastRetentionTime)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// MemoryUsageTracker starts a background goroutine that monitors memory usage.\n//\n// This worker checks actual process memory usage (via runtime.MemStats) periodically\n// and force-frees buffers if memory exceeds the configured cap. It uses FreeOSMemory()\n// to return memory to the OS after freeing buffers, avoiding aggressive GC that causes\n// performance issues.\n//\n// The tracker logs both actual memory usage (heap allocated) and metric data size for\n// visibility into memory overhead from Go runtime structures and allocations.\n//\n// Parameters:\n//   - wg: WaitGroup to signal completion when context is cancelled\n//   - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n\t\tfastInterval := 30 * time.Second\n\n\t\tif normalInterval <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(normalInterval)\n\t\tdefer ticker.Stop()\n\t\tcurrentInterval := normalInterval\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tvar mem runtime.MemStats\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n\t\t\t\tmetricDataGB := ms.SizeInGB()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n\n\t\t\t\tfreedExcluded := 0\n\t\t\t\tfreedEmergency := 0\n\t\t\t\tvar err error\n\n\t\t\t\tstate.mu.RLock()\n\t\t\t\tlastRetention := state.lastRetentionTime\n\t\t\t\tselectorsExcluded := state.selectorsExcluded\n\t\t\t\tstate.mu.RUnlock()\n\n\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n\t\t\t\t\t}\n\n\t\t\t\t\tif freedExcluded > 0 {\n\t\t\t\t\t\tdebug.FreeOSMemory()\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n\n\t\t\t\t\t// Use progressive time-based Free with increasing threshold\n\t\t\t\t\t// instead of ForceFree loop — fewer tree traversals, more effective\n\t\t\t\t\td, parseErr := time.ParseDuration(Keys.RetentionInMemory)\n\t\t\t\t\tif parseErr != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> cannot parse retention duration: %s\", parseErr)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tthresholds := []float64{0.75, 0.5, 0.25}\n\t\t\t\t\t\tfor _, fraction := range thresholds {\n\t\t\t\t\t\t\tthreshold := time.Now().Add(-time.Duration(float64(d) * fraction))\n\t\t\t\t\t\t\tfreed, freeErr := ms.Free(nil, threshold.Unix())\n\t\t\t\t\t\t\tif freeErr != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s\", fraction*100, freeErr)\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tfreedEmergency += freed\n\n\t\t\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\t\t\truntime.GC()\n\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n\t\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\tdebug.FreeOSMemory()\n\n\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after emergency frees (%d buffers), memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\t// Adaptive ticker: check more frequently when memory is high\n\t\t\t\tmemoryRatio := actualMemoryGB / float64(Keys.MemoryCap)\n\t\t\t\tif memoryRatio > 0.8 && currentInterval != fastInterval {\n\t\t\t\t\tticker.Reset(fastInterval)\n\t\t\t\t\tcurrentInterval = fastInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)\", memoryRatio*100)\n\t\t\t\t} else if memoryRatio <= 0.8 && currentInterval != normalInterval {\n\t\t\t\t\tticker.Reset(normalInterval)\n\t\t\t\t\tcurrentInterval = normalInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval\", memoryRatio*100)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\n// Free removes metric data older than the given time while preserving data for active nodes.\n//\n// This function implements intelligent retention by consulting the NodeProvider (if configured)\n// to determine which nodes are currently in use by running jobs. Data for these nodes is\n// preserved even if older than the retention time.\n//\n// Parameters:\n//   - ms: The MemoryStore instance\n//   - t: Time threshold - buffers with data older than this will be freed\n//\n// Returns:\n//   - Number of buffers freed\n//   - Error if NodeProvider query fails\n//\n// Behavior:\n//   - If no NodeProvider is set: frees all buffers older than t\n//   - If NodeProvider returns empty map: frees all buffers older than t\n//   - Otherwise: preserves buffers for nodes returned by GetUsedNodes(), frees others\nfunc Free(ms *MemoryStore, t time.Time) (int, error) {\n\t// If no NodeProvider is configured, free all buffers older than t\n\tif ms.nodeProvider == nil {\n\t\treturn ms.Free(nil, t.Unix())\n\t}\n\n\texcludeSelectors, err := ms.nodeProvider.GetUsedNodes(t.Unix())\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\tswitch lenMap := len(excludeSelectors); lenMap {\n\n\t// If the length of the map returned by GetUsedNodes() is 0,\n\t// then use default Free method with nil selector\n\tcase 0:\n\t\tstate.selectorsExcluded = false\n\t\treturn ms.Free(nil, t.Unix())\n\n\t// Else formulate selectors, exclude those from the map\n\t// and free the rest of the selectors\n\tdefault:\n\t\tstate.selectorsExcluded = true\n\t\tselectors := GetSelectors(ms, excludeSelectors)\n\t\treturn FreeSelected(ms, selectors, t)\n\t}\n}\n\n// FreeSelected frees buffers for specific selectors while preserving others.\n//\n// This function is used when we want to retain some specific nodes beyond the retention time.\n// It iterates through the provided selectors and frees their associated buffers.\n//\n// Parameters:\n//   - ms: The MemoryStore instance\n//   - selectors: List of selector paths to free (e.g., [[\"cluster1\", \"node1\"], [\"cluster2\", \"node2\"]])\n//   - t: Time threshold for freeing buffers\n//\n// Returns the total number of buffers freed and any error encountered.\nfunc FreeSelected(ms *MemoryStore, selectors [][]string, t time.Time) (int, error) {\n\tfreed := 0\n\n\tfor _, selector := range selectors {\n\n\t\tfreedBuffers, err := ms.Free(selector, t.Unix())\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"error while freeing selected buffers: %#v\", err)\n\t\t}\n\t\tfreed += freedBuffers\n\n\t}\n\n\treturn freed, nil\n}\n\n// GetSelectors returns all selectors at depth 2 (cluster/node level) that are NOT in the exclusion map.\n//\n// This function generates a list of selectors whose buffers should be freed by excluding\n// selectors that correspond to nodes currently in use by running jobs.\n//\n// Parameters:\n//   - ms: The MemoryStore instance\n//   - excludeSelectors: Map of cluster names to node hostnames that should NOT be freed\n//\n// Returns a list of selectors ([]string paths) that can be safely freed.\n//\n// Example:\n//\n//\tIf the tree has paths [\"emmy\", \"node001\"] and [\"emmy\", \"node002\"],\n//\tand excludeSelectors contains {\"emmy\": [\"node001\"]},\n//\tthen only [[\"emmy\", \"node002\"]] is returned.\nfunc GetSelectors(ms *MemoryStore, excludeSelectors map[string][]string) [][]string {\n\tallSelectors := ms.GetPaths(2)\n\n\tfilteredSelectors := make([][]string, 0, len(allSelectors))\n\n\tfor _, path := range allSelectors {\n\t\tif len(path) < 2 {\n\t\t\tcontinue\n\t\t}\n\n\t\tkey := path[0]   // The \"Key\" (Level 1)\n\t\tvalue := path[1] // The \"Value\" (Level 2)\n\n\t\texclude := false\n\n\t\t// Check if the key exists in our exclusion map\n\t\tif excludedValues, exists := excludeSelectors[key]; exists {\n\t\t\t// The key exists, now check if the specific value is in the exclusion list\n\t\t\tif slices.Contains(excludedValues, value) {\n\t\t\t\texclude = true\n\t\t\t}\n\t\t}\n\n\t\tif !exclude {\n\t\t\tfilteredSelectors = append(filteredSelectors, path)\n\t\t}\n\t}\n\n\treturn filteredSelectors\n}\n\n// GetPaths returns a list of lists (paths) to the specified depth.\nfunc (ms *MemoryStore) GetPaths(targetDepth int) [][]string {\n\tvar results [][]string\n\n\t// Start recursion. Initial path is empty.\n\t// We treat Root as depth 0.\n\tms.root.collectPaths(0, targetDepth, []string{}, &results)\n\n\treturn results\n}\n\n// Write all values in `metrics` to the level specified by `selector` for time `ts`.\n// Look at `findLevelOrCreate` for how selectors work.\nfunc (m *MemoryStore) Write(selector []string, ts int64, metrics []Metric) error {\n\tvar ok bool\n\tfor i, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tmetric.MetricConfig, ok = m.Metrics[metric.Name]\n\t\t\tif !ok {\n\t\t\t\tcclog.Debugf(\"[METRICSTORE]> Unknown metric '%s' in Write() - skipping\", metric.Name)\n\t\t\t\tmetric.MetricConfig.Frequency = 0\n\t\t\t}\n\t\t\tmetrics[i] = metric\n\t\t}\n\t}\n\n\treturn m.WriteToLevel(&m.root, selector, ts, metrics)\n}\n\nfunc (m *MemoryStore) GetLevel(selector []string) *Level {\n\treturn m.root.findLevelOrCreate(selector, len(m.Metrics))\n}\n\n// WriteToLevel assumes that `minfo` in `metrics` is filled in\nfunc (m *MemoryStore) WriteToLevel(l *Level, selector []string, ts int64, metrics []Metric) error {\n\tl = l.findLevelOrCreate(selector, len(m.Metrics))\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tfor _, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tcontinue\n\t\t}\n\n\t\tb := l.metrics[metric.MetricConfig.offset]\n\t\tif b == nil {\n\t\t\t// First write to this metric and level\n\t\t\tb = newBuffer(ts, metric.MetricConfig.Frequency)\n\t\t\tl.metrics[metric.MetricConfig.offset] = b\n\t\t}\n\n\t\tnb, err := b.write(ts, metric.Value)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\t// Last write created a new buffer...\n\t\tif b != nb {\n\t\t\tl.metrics[metric.MetricConfig.offset] = nb\n\t\t}\n\t}\n\treturn nil\n}\n\n// Read returns all values for metric `metric` from `from` to `to` for the selected level(s).\n// If the level does not hold the metric itself, the data will be aggregated recursively from the children.\n// The second and third return value are the actual from/to for the data. Those can be different from\n// the range asked for if no data was available.\nfunc (m *MemoryStore) Read(selector util.Selector, metric string, from, to, resolution int64) ([]schema.Float, int64, int64, int64, error) {\n\tif from > to {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid time range\")\n\t}\n\n\tminfo, ok := m.Metrics[metric]\n\tif !ok {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> unknown metric: \" + metric)\n\t}\n\n\tn, data := 0, make([]schema.Float, (to-from)/minfo.Frequency+1)\n\n\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n\t\tcdata, cfrom, cto, err := b.read(from, to, data)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif n == 0 {\n\t\t\tfrom, to = cfrom, cto\n\t\t} else if from != cfrom || to != cto || len(data) != len(cdata) {\n\t\t\tmissingfront, missingback := int((from-cfrom)/minfo.Frequency), int((to-cto)/minfo.Frequency)\n\t\t\tif missingfront != 0 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tnewlen := len(cdata) - missingback\n\t\t\tif newlen < 1 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\t\t\tcdata = cdata[0:newlen]\n\t\t\tif len(cdata) != len(data) {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tfrom, to = cfrom, cto\n\t\t}\n\n\t\tdata = cdata\n\t\tn += 1\n\t\treturn nil\n\t})\n\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t} else if n == 0 {\n\t\treturn nil, 0, 0, 0, ErrNoHostOrMetric\n\t} else if n > 1 {\n\t\tif minfo.Aggregation == AvgAggregation {\n\t\t\tnormalize := 1. / schema.Float(n)\n\t\t\tfor i := 0; i < len(data); i++ {\n\t\t\t\tdata[i] *= normalize\n\t\t\t}\n\t\t} else if minfo.Aggregation != SumAggregation {\n\t\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid aggregation\")\n\t\t}\n\t}\n\n\tdata, resolution, err = resampler.LargestTriangleThreeBucket(data, minfo.Frequency, resolution)\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t}\n\n\treturn data, from, to, resolution, nil\n}\n\n// Free releases all buffers for the selected level and all its children that\n// contain only values older than `t`.\nfunc (m *MemoryStore) Free(selector []string, t int64) (int, error) {\n\treturn m.GetLevel(selector).free(t)\n}\n\n// ForceFree unconditionally removes the oldest buffer from each metric chain.\nfunc (m *MemoryStore) ForceFree() (int, error) {\n\treturn m.GetLevel(nil).forceFree()\n}\n\nfunc (m *MemoryStore) FreeAll() error {\n\tm.root.lock.Lock()\n\tdefer m.root.lock.Unlock()\n\n\tfor k := range m.root.children {\n\t\tdelete(m.root.children, k)\n\t}\n\n\treturn nil\n}\n\nfunc (m *MemoryStore) SizeInBytes() int64 {\n\treturn m.root.sizeInBytes()\n}\n\nfunc (m *MemoryStore) SizeInGB() float64 {\n\treturn float64(m.root.sizeInBytes()) / 1e9\n}\n\n// ListChildren , given a selector, returns a list of all children of the level\n// selected.\nfunc (m *MemoryStore) ListChildren(selector []string) []string {\n\tlvl := &m.root\n\tfor lvl != nil && len(selector) != 0 {\n\t\tlvl.lock.RLock()\n\t\tnext := lvl.children[selector[0]]\n\t\tlvl.lock.RUnlock()\n\t\tlvl = next\n\t\tselector = selector[1:]\n\t}\n\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\tlvl.lock.RLock()\n\tdefer lvl.lock.RUnlock()\n\n\tchildren := make([]string, 0, len(lvl.children))\n\tfor child := range lvl.children {\n\t\tchildren = append(children, child)\n\t}\n\n\treturn children\n}\n","numLines":801,"startLine":1,"totalLines":801}},"sourceToolAssistantUUID":"0927b747-336e-4f16-83ff-1fa21bd85ab3","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5eb20a94-f8df-4979-a0ae-2aa99bfad884","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"parentUuid":"75b19f05-5eda-4d82-857e-1b7885ece7ad","isSidechain":false,"promptId":"6e6c2140-4cee-4dea-b053-88ef3746e514","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XGcPAMBpbMcP5dGZ2Js2xG","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// This file implements ingestion of InfluxDB line-protocol metric data received\n     7→// over NATS. Each line encodes one metric sample with the following structure:\n     8→//\n     9→//\t<measurement>[,cluster=<c>][,hostname=<h>][,type=<t>][,type-id=<id>][,subtype=<s>][,stype-id=<id>] value=<v> [<timestamp>]\n    10→//\n    11→// The measurement name identifies the metric (e.g. \"cpu_load\"). Tags provide\n    12→// routing information (cluster, host) and optional sub-device selectors (type,\n    13→// subtype). Only one field is expected per line: \"value\".\n    14→//\n    15→// After decoding, each sample is:\n    16→//  1. Written to the in-memory store via ms.WriteToLevel.\n    17→//  2. If the checkpoint format is \"wal\", also forwarded to the WAL staging\n    18→//     goroutine via the WALMessages channel for durable write-ahead logging.\n    19→package metricstore\n    20→\n    21→import (\n    22→\t\"bytes\"\n    23→\t\"context\"\n    24→\t\"fmt\"\n    25→\t\"sync\"\n    26→\t\"time\"\n    27→\n    28→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    29→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    30→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    31→\t\"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n    32→)\n    33→\n    34→// ReceiveNats subscribes to all configured NATS subjects and feeds incoming\n    35→// line-protocol messages into the MemoryStore.\n    36→//\n    37→// When workers > 1 a pool of goroutines drains a shared channel so that\n    38→// multiple messages can be decoded in parallel. With workers == 1 the NATS\n    39→// callback decodes inline (no channel overhead, lower latency).\n    40→//\n    41→// The function blocks until ctx is cancelled and all worker goroutines have\n    42→// finished. It returns nil when the NATS client is not configured; callers\n    43→// should treat that as a no-op rather than an error.\n    44→func ReceiveNats(ms *MemoryStore,\n    45→\tworkers int,\n    46→\tctx context.Context,\n    47→) error {\n    48→\tnc := nats.GetClient()\n    49→\n    50→\tif nc == nil {\n    51→\t\tcclog.Warn(\"NATS client not initialized\")\n    52→\t\treturn nil\n    53→\t}\n    54→\n    55→\tvar wg sync.WaitGroup\n    56→\tmsgs := make(chan []byte, workers*2)\n    57→\n    58→\tfor _, sc := range *Keys.Subscriptions {\n    59→\t\tclusterTag := sc.ClusterTag\n    60→\t\tif workers > 1 {\n    61→\t\t\twg.Add(workers)\n    62→\n    63→\t\t\tfor range workers {\n    64→\t\t\t\tgo func() {\n    65→\t\t\t\t\tdefer wg.Done()\n    66→\t\t\t\t\tfor m := range msgs {\n    67→\t\t\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(m)\n    68→\t\t\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n    69→\t\t\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n    70→\t\t\t\t\t\t}\n    71→\t\t\t\t\t}\n    72→\t\t\t\t}()\n    73→\t\t\t}\n    74→\n    75→\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n    76→\t\t\t\tselect {\n    77→\t\t\t\tcase msgs <- data:\n    78→\t\t\t\tcase <-ctx.Done():\n    79→\t\t\t\t}\n    80→\t\t\t})\n    81→\t\t} else {\n    82→\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n    83→\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(data)\n    84→\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n    85→\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n    86→\t\t\t\t}\n    87→\t\t\t})\n    88→\t\t}\n    89→\t\tcclog.Infof(\"NATS subscription to '%s' established\", sc.SubscribeTo)\n    90→\t}\n    91→\n    92→\tgo func() {\n    93→\t\t<-ctx.Done()\n    94→\t\tclose(msgs)\n    95→\t}()\n    96→\n    97→\twg.Wait()\n    98→\n    99→\treturn nil\n   100→}\n   101→\n   102→// reorder prepends prefix to buf in-place when buf has enough spare capacity,\n   103→// avoiding an allocation. Falls back to a regular append otherwise.\n   104→//\n   105→// It is used to assemble the \"type<type-id>\" and \"subtype<stype-id>\" selector\n   106→// strings when the type tag arrives before the type-id tag in the line, so the\n   107→// two byte slices need to be concatenated in tag-declaration order regardless\n   108→// of wire order.\n   109→func reorder(buf, prefix []byte) []byte {\n   110→\tn := len(prefix)\n   111→\tm := len(buf)\n   112→\tif cap(buf) < m+n {\n   113→\t\treturn append(prefix[:n:n], buf...)\n   114→\t} else {\n   115→\t\tbuf = buf[:n+m]\n   116→\t\tfor i := m - 1; i >= 0; i-- {\n   117→\t\t\tbuf[i+n] = buf[i]\n   118→\t\t}\n   119→\t\tfor i := range n {\n   120→\t\t\tbuf[i] = prefix[i]\n   121→\t\t}\n   122→\t\treturn buf\n   123→\t}\n   124→}\n   125→\n   126→// decodeState holds the per-call scratch buffers used by DecodeLine.\n   127→// Instances are recycled via decodeStatePool to avoid repeated allocations\n   128→// during high-throughput ingestion.\n   129→type decodeState struct {\n   130→\t// metricBuf holds a copy of the current measurement name (line-protocol\n   131→\t// measurement field). Copied because dec.Measurement() returns a slice\n   132→\t// that is invalidated by the next decoder call.\n   133→\tmetricBuf []byte\n   134→\n   135→\t// selector is the sub-device path passed to WriteToLevel and WALMessage\n   136→\t// (e.g. [\"socket0\"] or [\"socket0\", \"memctrl1\"]). Reused across lines.\n   137→\tselector []string\n   138→\n   139→\t// typeBuf accumulates the concatenated \"type\"+\"type-id\" tag value for the\n   140→\t// current line. Reset at the start of each line's tag-decode loop.\n   141→\ttypeBuf []byte\n   142→\n   143→\t// subTypeBuf accumulates the concatenated \"subtype\"+\"stype-id\" tag value.\n   144→\t// Reset at the start of each line's tag-decode loop.\n   145→\tsubTypeBuf []byte\n   146→\n   147→\t// prevTypeBytes / prevTypeStr cache the last seen typeBuf content and its\n   148→\t// string conversion. Because consecutive lines in a batch typically address\n   149→\t// the same sub-device, the cache hit rate is very high and avoids\n   150→\t// repeated []byte→string allocations.\n   151→\tprevTypeBytes []byte\n   152→\tprevTypeStr   string\n   153→\n   154→\t// prevSubTypeBytes / prevSubTypeStr are the same cache for the subtype.\n   155→\tprevSubTypeBytes []byte\n   156→\tprevSubTypeStr   string\n   157→}\n   158→\n   159→// decodeStatePool recycles decodeState values across DecodeLine calls to\n   160→// reduce GC pressure during sustained metric ingestion.\n   161→var decodeStatePool = sync.Pool{\n   162→\tNew: func() any {\n   163→\t\treturn &decodeState{\n   164→\t\t\tmetricBuf:  make([]byte, 0, 16),\n   165→\t\t\tselector:   make([]string, 0, 4),\n   166→\t\t\ttypeBuf:    make([]byte, 0, 16),\n   167→\t\t\tsubTypeBuf: make([]byte, 0, 16),\n   168→\t\t}\n   169→\t},\n   170→}\n   171→\n   172→// DecodeLine reads all lines from dec (InfluxDB line-protocol) and writes each\n   173→// decoded metric sample into ms.\n   174→//\n   175→// clusterDefault is used as the cluster name for lines that do not carry a\n   176→// \"cluster\" tag. Callers typically supply the ClusterTag value from the NATS\n   177→// subscription configuration.\n   178→//\n   179→// Performance notes:\n   180→//   - A decodeState is obtained from decodeStatePool to reuse scratch buffers.\n   181→//   - The Level pointer (host-level node in the metric tree) is cached across\n   182→//     consecutive lines that share the same cluster+host pair to avoid\n   183→//     repeated lock acquisitions on the root and cluster levels.\n   184→//   - []byte→string conversions for type/subtype selectors are cached via\n   185→//     prevType*/prevSubType* fields because batches typically repeat the same\n   186→//     sub-device identifiers.\n   187→//   - Timestamp parsing tries Second precision first; if that fails it retries\n   188→//     Millisecond, Microsecond, and Nanosecond in turn. A missing timestamp\n   189→//     falls back to time.Now().\n   190→//\n   191→// When the checkpoint format is \"wal\" each successfully decoded sample is also\n   192→// sent to WALMessages so the WAL staging goroutine can persist it durably\n   193→// before the next binary snapshot.\n   194→func DecodeLine(dec *lineprotocol.Decoder,\n   195→\tms *MemoryStore,\n   196→\tclusterDefault string,\n   197→) error {\n   198→\t// Reduce allocations in loop:\n   199→\tt := time.Now()\n   200→\tmetric := Metric{}\n   201→\tst := decodeStatePool.Get().(*decodeState)\n   202→\tdefer decodeStatePool.Put(st)\n   203→\n   204→\t// Optimize for the case where all lines in a \"batch\" are about the same\n   205→\t// cluster and host. By using `WriteToLevel` (level = host), we do not need\n   206→\t// to take the root- and cluster-level lock as often.\n   207→\tvar lvl *Level = nil\n   208→\tprevCluster, prevHost := \"\", \"\"\n   209→\n   210→\tvar ok bool\n   211→\tfor dec.Next() {\n   212→\t\trawmeasurement, err := dec.Measurement()\n   213→\t\tif err != nil {\n   214→\t\t\treturn err\n   215→\t\t}\n   216→\n   217→\t\t// Needs to be copied because another call to dec.* would\n   218→\t\t// invalidate the returned slice.\n   219→\t\tst.metricBuf = append(st.metricBuf[:0], rawmeasurement...)\n   220→\n   221→\t\t// The go compiler optimizes map[string(byteslice)] lookups:\n   222→\t\tmetric.MetricConfig, ok = ms.Metrics[string(rawmeasurement)]\n   223→\t\tif !ok {\n   224→\t\t\tcontinue\n   225→\t\t}\n   226→\n   227→\t\tst.typeBuf, st.subTypeBuf = st.typeBuf[:0], st.subTypeBuf[:0]\n   228→\t\tcluster, host := clusterDefault, \"\"\n   229→\t\tfor {\n   230→\t\t\tkey, val, err := dec.NextTag()\n   231→\t\t\tif err != nil {\n   232→\t\t\t\treturn err\n   233→\t\t\t}\n   234→\t\t\tif key == nil {\n   235→\t\t\t\tbreak\n   236→\t\t\t}\n   237→\n   238→\t\t\t// The go compiler optimizes string([]byte{...}) == \"...\":\n   239→\t\t\tswitch string(key) {\n   240→\t\t\tcase \"cluster\":\n   241→\t\t\t\tif string(val) == prevCluster {\n   242→\t\t\t\t\tcluster = prevCluster\n   243→\t\t\t\t} else {\n   244→\t\t\t\t\tcluster = string(val)\n   245→\t\t\t\t\tlvl = nil\n   246→\t\t\t\t}\n   247→\t\t\tcase \"hostname\", \"host\":\n   248→\t\t\t\tif string(val) == prevHost {\n   249→\t\t\t\t\thost = prevHost\n   250→\t\t\t\t} else {\n   251→\t\t\t\t\thost = string(val)\n   252→\t\t\t\t\tlvl = nil\n   253→\t\t\t\t}\n   254→\t\t\tcase \"type\":\n   255→\t\t\t\tif string(val) == \"node\" {\n   256→\t\t\t\t\tbreak\n   257→\t\t\t\t}\n   258→\n   259→\t\t\t\t// We cannot be sure that the \"type\" tag comes before the \"type-id\" tag:\n   260→\t\t\t\tif len(st.typeBuf) == 0 {\n   261→\t\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n   262→\t\t\t\t} else {\n   263→\t\t\t\t\tst.typeBuf = reorder(st.typeBuf, val)\n   264→\t\t\t\t}\n   265→\t\t\tcase \"type-id\":\n   266→\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n   267→\t\t\tcase \"subtype\":\n   268→\t\t\t\t// We cannot be sure that the \"subtype\" tag comes before the \"stype-id\" tag:\n   269→\t\t\t\tif len(st.subTypeBuf) == 0 {\n   270→\t\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n   271→\t\t\t\t} else {\n   272→\t\t\t\t\tst.subTypeBuf = reorder(st.subTypeBuf, val)\n   273→\t\t\t\t}\n   274→\t\t\tcase \"stype-id\":\n   275→\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n   276→\t\t\tdefault:\n   277→\t\t\t}\n   278→\t\t}\n   279→\n   280→\t\t// If the cluster or host changed, the lvl was set to nil\n   281→\t\tif lvl == nil {\n   282→\t\t\tst.selector = st.selector[:2]\n   283→\t\t\tst.selector[0], st.selector[1] = cluster, host\n   284→\t\t\tlvl = ms.GetLevel(st.selector)\n   285→\t\t\tprevCluster, prevHost = cluster, host\n   286→\t\t}\n   287→\n   288→\t\t// subtypes: cache []byte→string conversions; messages in a batch typically\n   289→\t\t// share the same type/subtype so the hit rate is very high.\n   290→\t\tst.selector = st.selector[:0]\n   291→\t\tif len(st.typeBuf) > 0 {\n   292→\t\t\tif !bytes.Equal(st.typeBuf, st.prevTypeBytes) {\n   293→\t\t\t\tst.prevTypeBytes = append(st.prevTypeBytes[:0], st.typeBuf...)\n   294→\t\t\t\tst.prevTypeStr = string(st.typeBuf)\n   295→\t\t\t}\n   296→\t\t\tst.selector = append(st.selector, st.prevTypeStr)\n   297→\t\t\tif len(st.subTypeBuf) > 0 {\n   298→\t\t\t\tif !bytes.Equal(st.subTypeBuf, st.prevSubTypeBytes) {\n   299→\t\t\t\t\tst.prevSubTypeBytes = append(st.prevSubTypeBytes[:0], st.subTypeBuf...)\n   300→\t\t\t\t\tst.prevSubTypeStr = string(st.subTypeBuf)\n   301→\t\t\t\t}\n   302→\t\t\t\tst.selector = append(st.selector, st.prevSubTypeStr)\n   303→\t\t\t}\n   304→\t\t}\n   305→\n   306→\t\tfor {\n   307→\t\t\tkey, val, err := dec.NextField()\n   308→\t\t\tif err != nil {\n   309→\t\t\t\treturn err\n   310→\t\t\t}\n   311→\n   312→\t\t\tif key == nil {\n   313→\t\t\t\tbreak\n   314→\t\t\t}\n   315→\n   316→\t\t\tif string(key) != \"value\" {\n   317→\t\t\t\treturn fmt.Errorf(\"host %s: unknown field: '%s' (value: %#v)\", host, string(key), val)\n   318→\t\t\t}\n   319→\n   320→\t\t\tif val.Kind() == lineprotocol.Float {\n   321→\t\t\t\tmetric.Value = schema.Float(val.FloatV())\n   322→\t\t\t} else if val.Kind() == lineprotocol.Int {\n   323→\t\t\t\tmetric.Value = schema.Float(val.IntV())\n   324→\t\t\t} else if val.Kind() == lineprotocol.Uint {\n   325→\t\t\t\tmetric.Value = schema.Float(val.UintV())\n   326→\t\t\t} else {\n   327→\t\t\t\treturn fmt.Errorf(\"host %s: unsupported value type in message: %s\", host, val.Kind().String())\n   328→\t\t\t}\n   329→\t\t}\n   330→\n   331→\t\tif t, err = dec.Time(lineprotocol.Second, t); err != nil {\n   332→\t\t\tt = time.Now()\n   333→\t\t\tif t, err = dec.Time(lineprotocol.Millisecond, t); err != nil {\n   334→\t\t\t\tt = time.Now()\n   335→\t\t\t\tif t, err = dec.Time(lineprotocol.Microsecond, t); err != nil {\n   336→\t\t\t\t\tt = time.Now()\n   337→\t\t\t\t\tif t, err = dec.Time(lineprotocol.Nanosecond, t); err != nil {\n   338→\t\t\t\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n   339→\t\t\t\t\t}\n   340→\t\t\t\t}\n   341→\t\t\t}\n   342→\t\t}\n   343→\n   344→\t\tif err != nil {\n   345→\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n   346→\t\t}\n   347→\n   348→\t\ttime := t.Unix()\n   349→\n   350→\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n   351→\t\t\tWALMessages <- &WALMessage{\n   352→\t\t\t\tMetricName: string(st.metricBuf),\n   353→\t\t\t\tCluster:    cluster,\n   354→\t\t\t\tNode:       host,\n   355→\t\t\t\tSelector:   append([]string{}, st.selector...),\n   356→\t\t\t\tValue:      metric.Value,\n   357→\t\t\t\tTimestamp:  time,\n   358→\t\t\t}\n   359→\t\t}\n   360→\n   361→\t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n   362→\t\t\tcclog.Warnf(\"write error for host %s metric %s at ts %d: %s\", host, string(st.metricBuf), time, err.Error())\n   363→\t\t\tcontinue\n   364→\t\t}\n   365→\t}\n   366→\treturn nil\n   367→}\n   368→"}]},"uuid":"77dd8f5a-70ab-45e9-beeb-a01492815a92","timestamp":"2026-03-18T05:08:48.126Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/lineprotocol.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file implements ingestion of InfluxDB line-protocol metric data received\n// over NATS. Each line encodes one metric sample with the following structure:\n//\n//\t<measurement>[,cluster=<c>][,hostname=<h>][,type=<t>][,type-id=<id>][,subtype=<s>][,stype-id=<id>] value=<v> [<timestamp>]\n//\n// The measurement name identifies the metric (e.g. \"cpu_load\"). Tags provide\n// routing information (cluster, host) and optional sub-device selectors (type,\n// subtype). Only one field is expected per line: \"value\".\n//\n// After decoding, each sample is:\n//  1. Written to the in-memory store via ms.WriteToLevel.\n//  2. If the checkpoint format is \"wal\", also forwarded to the WAL staging\n//     goroutine via the WALMessages channel for durable write-ahead logging.\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// ReceiveNats subscribes to all configured NATS subjects and feeds incoming\n// line-protocol messages into the MemoryStore.\n//\n// When workers > 1 a pool of goroutines drains a shared channel so that\n// multiple messages can be decoded in parallel. With workers == 1 the NATS\n// callback decodes inline (no channel overhead, lower latency).\n//\n// The function blocks until ctx is cancelled and all worker goroutines have\n// finished. It returns nil when the NATS client is not configured; callers\n// should treat that as a no-op rather than an error.\nfunc ReceiveNats(ms *MemoryStore,\n\tworkers int,\n\tctx context.Context,\n) error {\n\tnc := nats.GetClient()\n\n\tif nc == nil {\n\t\tcclog.Warn(\"NATS client not initialized\")\n\t\treturn nil\n\t}\n\n\tvar wg sync.WaitGroup\n\tmsgs := make(chan []byte, workers*2)\n\n\tfor _, sc := range *Keys.Subscriptions {\n\t\tclusterTag := sc.ClusterTag\n\t\tif workers > 1 {\n\t\t\twg.Add(workers)\n\n\t\t\tfor range workers {\n\t\t\t\tgo func() {\n\t\t\t\t\tdefer wg.Done()\n\t\t\t\t\tfor m := range msgs {\n\t\t\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(m)\n\t\t\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}()\n\t\t\t}\n\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tselect {\n\t\t\t\tcase msgs <- data:\n\t\t\t\tcase <-ctx.Done():\n\t\t\t\t}\n\t\t\t})\n\t\t} else {\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(data)\n\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\t\tcclog.Infof(\"NATS subscription to '%s' established\", sc.SubscribeTo)\n\t}\n\n\tgo func() {\n\t\t<-ctx.Done()\n\t\tclose(msgs)\n\t}()\n\n\twg.Wait()\n\n\treturn nil\n}\n\n// reorder prepends prefix to buf in-place when buf has enough spare capacity,\n// avoiding an allocation. Falls back to a regular append otherwise.\n//\n// It is used to assemble the \"type<type-id>\" and \"subtype<stype-id>\" selector\n// strings when the type tag arrives before the type-id tag in the line, so the\n// two byte slices need to be concatenated in tag-declaration order regardless\n// of wire order.\nfunc reorder(buf, prefix []byte) []byte {\n\tn := len(prefix)\n\tm := len(buf)\n\tif cap(buf) < m+n {\n\t\treturn append(prefix[:n:n], buf...)\n\t} else {\n\t\tbuf = buf[:n+m]\n\t\tfor i := m - 1; i >= 0; i-- {\n\t\t\tbuf[i+n] = buf[i]\n\t\t}\n\t\tfor i := range n {\n\t\t\tbuf[i] = prefix[i]\n\t\t}\n\t\treturn buf\n\t}\n}\n\n// decodeState holds the per-call scratch buffers used by DecodeLine.\n// Instances are recycled via decodeStatePool to avoid repeated allocations\n// during high-throughput ingestion.\ntype decodeState struct {\n\t// metricBuf holds a copy of the current measurement name (line-protocol\n\t// measurement field). Copied because dec.Measurement() returns a slice\n\t// that is invalidated by the next decoder call.\n\tmetricBuf []byte\n\n\t// selector is the sub-device path passed to WriteToLevel and WALMessage\n\t// (e.g. [\"socket0\"] or [\"socket0\", \"memctrl1\"]). Reused across lines.\n\tselector []string\n\n\t// typeBuf accumulates the concatenated \"type\"+\"type-id\" tag value for the\n\t// current line. Reset at the start of each line's tag-decode loop.\n\ttypeBuf []byte\n\n\t// subTypeBuf accumulates the concatenated \"subtype\"+\"stype-id\" tag value.\n\t// Reset at the start of each line's tag-decode loop.\n\tsubTypeBuf []byte\n\n\t// prevTypeBytes / prevTypeStr cache the last seen typeBuf content and its\n\t// string conversion. Because consecutive lines in a batch typically address\n\t// the same sub-device, the cache hit rate is very high and avoids\n\t// repeated []byte→string allocations.\n\tprevTypeBytes []byte\n\tprevTypeStr   string\n\n\t// prevSubTypeBytes / prevSubTypeStr are the same cache for the subtype.\n\tprevSubTypeBytes []byte\n\tprevSubTypeStr   string\n}\n\n// decodeStatePool recycles decodeState values across DecodeLine calls to\n// reduce GC pressure during sustained metric ingestion.\nvar decodeStatePool = sync.Pool{\n\tNew: func() any {\n\t\treturn &decodeState{\n\t\t\tmetricBuf:  make([]byte, 0, 16),\n\t\t\tselector:   make([]string, 0, 4),\n\t\t\ttypeBuf:    make([]byte, 0, 16),\n\t\t\tsubTypeBuf: make([]byte, 0, 16),\n\t\t}\n\t},\n}\n\n// DecodeLine reads all lines from dec (InfluxDB line-protocol) and writes each\n// decoded metric sample into ms.\n//\n// clusterDefault is used as the cluster name for lines that do not carry a\n// \"cluster\" tag. Callers typically supply the ClusterTag value from the NATS\n// subscription configuration.\n//\n// Performance notes:\n//   - A decodeState is obtained from decodeStatePool to reuse scratch buffers.\n//   - The Level pointer (host-level node in the metric tree) is cached across\n//     consecutive lines that share the same cluster+host pair to avoid\n//     repeated lock acquisitions on the root and cluster levels.\n//   - []byte→string conversions for type/subtype selectors are cached via\n//     prevType*/prevSubType* fields because batches typically repeat the same\n//     sub-device identifiers.\n//   - Timestamp parsing tries Second precision first; if that fails it retries\n//     Millisecond, Microsecond, and Nanosecond in turn. A missing timestamp\n//     falls back to time.Now().\n//\n// When the checkpoint format is \"wal\" each successfully decoded sample is also\n// sent to WALMessages so the WAL staging goroutine can persist it durably\n// before the next binary snapshot.\nfunc DecodeLine(dec *lineprotocol.Decoder,\n\tms *MemoryStore,\n\tclusterDefault string,\n) error {\n\t// Reduce allocations in loop:\n\tt := time.Now()\n\tmetric := Metric{}\n\tst := decodeStatePool.Get().(*decodeState)\n\tdefer decodeStatePool.Put(st)\n\n\t// Optimize for the case where all lines in a \"batch\" are about the same\n\t// cluster and host. By using `WriteToLevel` (level = host), we do not need\n\t// to take the root- and cluster-level lock as often.\n\tvar lvl *Level = nil\n\tprevCluster, prevHost := \"\", \"\"\n\n\tvar ok bool\n\tfor dec.Next() {\n\t\trawmeasurement, err := dec.Measurement()\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\t// Needs to be copied because another call to dec.* would\n\t\t// invalidate the returned slice.\n\t\tst.metricBuf = append(st.metricBuf[:0], rawmeasurement...)\n\n\t\t// The go compiler optimizes map[string(byteslice)] lookups:\n\t\tmetric.MetricConfig, ok = ms.Metrics[string(rawmeasurement)]\n\t\tif !ok {\n\t\t\tcontinue\n\t\t}\n\n\t\tst.typeBuf, st.subTypeBuf = st.typeBuf[:0], st.subTypeBuf[:0]\n\t\tcluster, host := clusterDefault, \"\"\n\t\tfor {\n\t\t\tkey, val, err := dec.NextTag()\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tif key == nil {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\t// The go compiler optimizes string([]byte{...}) == \"...\":\n\t\t\tswitch string(key) {\n\t\t\tcase \"cluster\":\n\t\t\t\tif string(val) == prevCluster {\n\t\t\t\t\tcluster = prevCluster\n\t\t\t\t} else {\n\t\t\t\t\tcluster = string(val)\n\t\t\t\t\tlvl = nil\n\t\t\t\t}\n\t\t\tcase \"hostname\", \"host\":\n\t\t\t\tif string(val) == prevHost {\n\t\t\t\t\thost = prevHost\n\t\t\t\t} else {\n\t\t\t\t\thost = string(val)\n\t\t\t\t\tlvl = nil\n\t\t\t\t}\n\t\t\tcase \"type\":\n\t\t\t\tif string(val) == \"node\" {\n\t\t\t\t\tbreak\n\t\t\t\t}\n\n\t\t\t\t// We cannot be sure that the \"type\" tag comes before the \"type-id\" tag:\n\t\t\t\tif len(st.typeBuf) == 0 {\n\t\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n\t\t\t\t} else {\n\t\t\t\t\tst.typeBuf = reorder(st.typeBuf, val)\n\t\t\t\t}\n\t\t\tcase \"type-id\":\n\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n\t\t\tcase \"subtype\":\n\t\t\t\t// We cannot be sure that the \"subtype\" tag comes before the \"stype-id\" tag:\n\t\t\t\tif len(st.subTypeBuf) == 0 {\n\t\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n\t\t\t\t} else {\n\t\t\t\t\tst.subTypeBuf = reorder(st.subTypeBuf, val)\n\t\t\t\t}\n\t\t\tcase \"stype-id\":\n\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n\t\t\tdefault:\n\t\t\t}\n\t\t}\n\n\t\t// If the cluster or host changed, the lvl was set to nil\n\t\tif lvl == nil {\n\t\t\tst.selector = st.selector[:2]\n\t\t\tst.selector[0], st.selector[1] = cluster, host\n\t\t\tlvl = ms.GetLevel(st.selector)\n\t\t\tprevCluster, prevHost = cluster, host\n\t\t}\n\n\t\t// subtypes: cache []byte→string conversions; messages in a batch typically\n\t\t// share the same type/subtype so the hit rate is very high.\n\t\tst.selector = st.selector[:0]\n\t\tif len(st.typeBuf) > 0 {\n\t\t\tif !bytes.Equal(st.typeBuf, st.prevTypeBytes) {\n\t\t\t\tst.prevTypeBytes = append(st.prevTypeBytes[:0], st.typeBuf...)\n\t\t\t\tst.prevTypeStr = string(st.typeBuf)\n\t\t\t}\n\t\t\tst.selector = append(st.selector, st.prevTypeStr)\n\t\t\tif len(st.subTypeBuf) > 0 {\n\t\t\t\tif !bytes.Equal(st.subTypeBuf, st.prevSubTypeBytes) {\n\t\t\t\t\tst.prevSubTypeBytes = append(st.prevSubTypeBytes[:0], st.subTypeBuf...)\n\t\t\t\t\tst.prevSubTypeStr = string(st.subTypeBuf)\n\t\t\t\t}\n\t\t\t\tst.selector = append(st.selector, st.prevSubTypeStr)\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tkey, val, err := dec.NextField()\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tif key == nil {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\tif string(key) != \"value\" {\n\t\t\t\treturn fmt.Errorf(\"host %s: unknown field: '%s' (value: %#v)\", host, string(key), val)\n\t\t\t}\n\n\t\t\tif val.Kind() == lineprotocol.Float {\n\t\t\t\tmetric.Value = schema.Float(val.FloatV())\n\t\t\t} else if val.Kind() == lineprotocol.Int {\n\t\t\t\tmetric.Value = schema.Float(val.IntV())\n\t\t\t} else if val.Kind() == lineprotocol.Uint {\n\t\t\t\tmetric.Value = schema.Float(val.UintV())\n\t\t\t} else {\n\t\t\t\treturn fmt.Errorf(\"host %s: unsupported value type in message: %s\", host, val.Kind().String())\n\t\t\t}\n\t\t}\n\n\t\tif t, err = dec.Time(lineprotocol.Second, t); err != nil {\n\t\t\tt = time.Now()\n\t\t\tif t, err = dec.Time(lineprotocol.Millisecond, t); err != nil {\n\t\t\t\tt = time.Now()\n\t\t\t\tif t, err = dec.Time(lineprotocol.Microsecond, t); err != nil {\n\t\t\t\t\tt = time.Now()\n\t\t\t\t\tif t, err = dec.Time(lineprotocol.Nanosecond, t); err != nil {\n\t\t\t\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n\t\t}\n\n\t\ttime := t.Unix()\n\n\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\t\tWALMessages <- &WALMessage{\n\t\t\t\tMetricName: string(st.metricBuf),\n\t\t\t\tCluster:    cluster,\n\t\t\t\tNode:       host,\n\t\t\t\tSelector:   append([]string{}, st.selector...),\n\t\t\t\tValue:      metric.Value,\n\t\t\t\tTimestamp:  time,\n\t\t\t}\n\t\t}\n\n\t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n\t\t\tcclog.Warnf(\"write error for host %s metric %s at ts %d: %s\", host, string(st.metricBuf), time, err.Error())\n\t\t\tcontinue\n\t\t}\n\t}\n\treturn nil\n}\n","numLines":368,"startLine":1,"totalLines":368}},"sourceToolAssistantUUID":"75b19f05-5eda-4d82-857e-1b7885ece7ad","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5eb20a94-f8df-4979-a0ae-2aa99bfad884","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"parentUuid":"0f843ded-787a-4a2c-b5f2-64b7dcc395da","isSidechain":false,"promptId":"6e6c2140-4cee-4dea-b053-88ef3746e514","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ApoJH72VXMCPdcd7b9tZJo","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n     7→//\n     8→// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n     9→// per host, eliminating the extra memory overhead of the AvroStore and providing\n    10→// truly continuous (per-write) crash safety.\n    11→//\n    12→// # Architecture\n    13→//\n    14→//\tMetric write (DecodeLine)\n    15→//\t      │\n    16→//\t      ├─► WriteToLevel()    → main MemoryStore (unchanged)\n    17→//\t      │\n    18→//\t      └─► WALMessages channel\n    19→//\t               │\n    20→//\t               ▼\n    21→//\t        WALStaging goroutine\n    22→//\t               │\n    23→//\t               ▼\n    24→//\t        checkpoints/cluster/host/current.wal  (append-only, binary)\n    25→//\n    26→//\tPeriodic checkpoint (Checkpointing goroutine):\n    27→//\t  1. Write <timestamp>.bin snapshot (column-oriented, from main tree)\n    28→//\t  2. Signal WALStaging to truncate current.wal per host\n    29→//\n    30→//\tOn restart (FromCheckpoint):\n    31→//\t  1. Load most recent <timestamp>.bin snapshot\n    32→//\t  2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n    33→//\n    34→// # WAL Record Format\n    35→//\n    36→//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n    37→//\n    38→//\tpayload:\n    39→//\t  [8B timestamp int64]\n    40→//\t  [2B metric_name_len uint16][N metric name bytes]\n    41→//\t  [1B selector_count uint8]\n    42→//\t  per selector: [1B selector_len uint8][M selector bytes]\n    43→//\t  [4B value float32 bits]\n    44→//\n    45→// # Binary Snapshot Format\n    46→//\n    47→//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n    48→//\tLevel tree (recursive):\n    49→//\t  [4B num_metrics uint32]\n    50→//\t  per metric:\n    51→//\t    [2B name_len uint16][N name bytes]\n    52→//\t    [8B frequency int64][8B start int64]\n    53→//\t    [4B num_values uint32][num_values × 4B float32]\n    54→//\t  [4B num_children uint32]\n    55→//\t  per child: [2B name_len uint16][N name bytes] + Level (recursive)\n    56→package metricstore\n    57→\n    58→import (\n    59→\t\"bufio\"\n    60→\t\"context\"\n    61→\t\"encoding/binary\"\n    62→\t\"fmt\"\n    63→\t\"hash/crc32\"\n    64→\t\"io\"\n    65→\t\"math\"\n    66→\t\"os\"\n    67→\t\"path\"\n    68→\t\"strings\"\n    69→\t\"sync\"\n    70→\t\"sync/atomic\"\n    71→\n    72→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    73→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    74→)\n    75→\n    76→// Magic numbers for binary formats.\n    77→const (\n    78→\twalFileMagic   = uint32(0xCC1DA701) // WAL file header magic\n    79→\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n    80→\tsnapFileMagic  = uint32(0xCC5B0001) // Binary snapshot magic\n    81→)\n    82→\n    83→// WALMessages is the channel for sending metric writes to the WAL staging goroutine.\n    84→// Buffered to allow burst writes without blocking the metric ingestion path.\n    85→var WALMessages = make(chan *WALMessage, 4096)\n    86→\n    87→// walRotateCh is used by the checkpoint goroutine to request WAL file rotation\n    88→// (close, delete, reopen) after a binary snapshot has been written.\n    89→var walRotateCh = make(chan walRotateReq, 256)\n    90→\n    91→// WALMessage represents a single metric write to be appended to the WAL.\n    92→// Cluster and Node are NOT stored in the WAL record (inferred from file path).\n    93→type WALMessage struct {\n    94→\tMetricName string\n    95→\tCluster    string\n    96→\tNode       string\n    97→\tSelector   []string\n    98→\tValue      schema.Float\n    99→\tTimestamp  int64\n   100→}\n   101→\n   102→// walRotateReq requests WAL file rotation for a specific host directory.\n   103→// The done channel is closed by the WAL goroutine when rotation is complete.\n   104→type walRotateReq struct {\n   105→\thostDir string\n   106→\tdone    chan struct{}\n   107→}\n   108→\n   109→// walFileState holds an open WAL file handle and buffered writer for one host directory.\n   110→type walFileState struct {\n   111→\tf *os.File\n   112→\tw *bufio.Writer\n   113→}\n   114→\n   115→// WALStaging starts a background goroutine that receives WALMessage items\n   116→// and appends binary WAL records to per-host current.wal files.\n   117→// Also handles WAL rotation requests from the checkpoint goroutine.\n   118→func WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n   119→\twg.Go(func() {\n   120→\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n   121→\t\t\treturn\n   122→\t\t}\n   123→\n   124→\t\thostFiles := make(map[string]*walFileState)\n   125→\n   126→\t\tdefer func() {\n   127→\t\t\tfor _, ws := range hostFiles {\n   128→\t\t\t\tif ws.f != nil {\n   129→\t\t\t\t\tws.w.Flush()\n   130→\t\t\t\t\tws.f.Close()\n   131→\t\t\t\t}\n   132→\t\t\t}\n   133→\t\t}()\n   134→\n   135→\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n   136→\t\t\tws, ok := hostFiles[hostDir]\n   137→\t\t\tif ok {\n   138→\t\t\t\treturn ws\n   139→\t\t\t}\n   140→\n   141→\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n   142→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n   143→\t\t\t\treturn nil\n   144→\t\t\t}\n   145→\n   146→\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n   147→\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n   148→\t\t\tif err != nil {\n   149→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n   150→\t\t\t\treturn nil\n   151→\t\t\t}\n   152→\n   153→\t\t\tw := bufio.NewWriter(f)\n   154→\n   155→\t\t\t// Write file header magic if file is new (empty).\n   156→\t\t\tinfo, err := f.Stat()\n   157→\t\t\tif err == nil && info.Size() == 0 {\n   158→\t\t\t\tvar hdr [4]byte\n   159→\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n   160→\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n   161→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n   162→\t\t\t\t\tf.Close()\n   163→\t\t\t\t\treturn nil\n   164→\t\t\t\t}\n   165→\t\t\t}\n   166→\n   167→\t\t\tws = &walFileState{f: f, w: w}\n   168→\t\t\thostFiles[hostDir] = ws\n   169→\t\t\treturn ws\n   170→\t\t}\n   171→\n   172→\t\tprocessMsg := func(msg *WALMessage) {\n   173→\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n   174→\t\t\tws := getOrOpenWAL(hostDir)\n   175→\t\t\tif ws == nil {\n   176→\t\t\t\treturn\n   177→\t\t\t}\n   178→\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n   179→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n   180→\t\t\t}\n   181→\t\t}\n   182→\n   183→\t\tprocessRotate := func(req walRotateReq) {\n   184→\t\t\tws, ok := hostFiles[req.hostDir]\n   185→\t\t\tif ok && ws.f != nil {\n   186→\t\t\t\tws.w.Flush()\n   187→\t\t\t\tws.f.Close()\n   188→\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n   189→\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n   190→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n   191→\t\t\t\t}\n   192→\t\t\t\tdelete(hostFiles, req.hostDir)\n   193→\t\t\t}\n   194→\t\t\tclose(req.done)\n   195→\t\t}\n   196→\n   197→\t\tdrain := func() {\n   198→\t\t\tfor {\n   199→\t\t\t\tselect {\n   200→\t\t\t\tcase msg, ok := <-WALMessages:\n   201→\t\t\t\t\tif !ok {\n   202→\t\t\t\t\t\treturn\n   203→\t\t\t\t\t}\n   204→\t\t\t\t\tprocessMsg(msg)\n   205→\t\t\t\tcase req := <-walRotateCh:\n   206→\t\t\t\t\tprocessRotate(req)\n   207→\t\t\t\tdefault:\n   208→\t\t\t\t\t// Flush all buffered writers after draining remaining messages.\n   209→\t\t\t\t\tfor _, ws := range hostFiles {\n   210→\t\t\t\t\t\tif ws.f != nil {\n   211→\t\t\t\t\t\t\tws.w.Flush()\n   212→\t\t\t\t\t\t}\n   213→\t\t\t\t\t}\n   214→\t\t\t\t\treturn\n   215→\t\t\t\t}\n   216→\t\t\t}\n   217→\t\t}\n   218→\n   219→\t\tfor {\n   220→\t\t\tselect {\n   221→\t\t\tcase <-ctx.Done():\n   222→\t\t\t\tdrain()\n   223→\t\t\t\treturn\n   224→\t\t\tcase msg, ok := <-WALMessages:\n   225→\t\t\t\tif !ok {\n   226→\t\t\t\t\treturn\n   227→\t\t\t\t}\n   228→\t\t\t\tprocessMsg(msg)\n   229→\t\t\tcase req := <-walRotateCh:\n   230→\t\t\t\tprocessRotate(req)\n   231→\t\t\t}\n   232→\t\t}\n   233→\t})\n   234→}\n   235→\n   236→// RotateWALFiles sends rotation requests for the given host directories\n   237→// and blocks until all rotations complete.\n   238→func RotateWALFiles(hostDirs []string) {\n   239→\tdones := make([]chan struct{}, len(hostDirs))\n   240→\tfor i, dir := range hostDirs {\n   241→\t\tdones[i] = make(chan struct{})\n   242→\t\twalRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}\n   243→\t}\n   244→\tfor _, done := range dones {\n   245→\t\t<-done\n   246→\t}\n   247→}\n   248→\n   249→// RotateWALFiles sends rotation requests for the given host directories\n   250→// and blocks until all rotations complete.\n   251→func RotateWALFilesAfterShutdown(hostDirs []string) {\n   252→\tfor _, dir := range hostDirs {\n   253→\t\twalPath := path.Join(dir, \"current.wal\")\n   254→\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n   255→\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n   256→\t\t}\n   257→\t}\n   258→}\n   259→\n   260→// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\n   261→func buildWALPayload(msg *WALMessage) []byte {\n   262→\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n   263→\tfor _, s := range msg.Selector {\n   264→\t\tsize += 1 + len(s)\n   265→\t}\n   266→\n   267→\tbuf := make([]byte, 0, size)\n   268→\n   269→\t// Timestamp (8 bytes, little-endian int64)\n   270→\tvar ts [8]byte\n   271→\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n   272→\tbuf = append(buf, ts[:]...)\n   273→\n   274→\t// Metric name (2-byte length prefix + bytes)\n   275→\tvar mLen [2]byte\n   276→\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n   277→\tbuf = append(buf, mLen[:]...)\n   278→\tbuf = append(buf, msg.MetricName...)\n   279→\n   280→\t// Selector count (1 byte)\n   281→\tbuf = append(buf, byte(len(msg.Selector)))\n   282→\n   283→\t// Selectors (1-byte length prefix + bytes each)\n   284→\tfor _, sel := range msg.Selector {\n   285→\t\tbuf = append(buf, byte(len(sel)))\n   286→\t\tbuf = append(buf, sel...)\n   287→\t}\n   288→\n   289→\t// Value (4 bytes, float32 bit representation)\n   290→\tvar val [4]byte\n   291→\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n   292→\tbuf = append(buf, val[:]...)\n   293→\n   294→\treturn buf\n   295→}\n   296→\n   297→// writeWALRecord appends a binary WAL record to the writer.\n   298→// Format: [4B magic][4B payload_len][payload][4B CRC32]\n   299→func writeWALRecord(w io.Writer, msg *WALMessage) error {\n   300→\tpayload := buildWALPayload(msg)\n   301→\tcrc := crc32.ChecksumIEEE(payload)\n   302→\n   303→\trecord := make([]byte, 0, 4+4+len(payload)+4)\n   304→\n   305→\tvar magic [4]byte\n   306→\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n   307→\trecord = append(record, magic[:]...)\n   308→\n   309→\tvar pLen [4]byte\n   310→\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n   311→\trecord = append(record, pLen[:]...)\n   312→\n   313→\trecord = append(record, payload...)\n   314→\n   315→\tvar crcBytes [4]byte\n   316→\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n   317→\trecord = append(record, crcBytes[:]...)\n   318→\n   319→\t_, err := w.Write(record)\n   320→\treturn err\n   321→}\n   322→\n   323→// readWALRecord reads one WAL record from the reader.\n   324→// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n   325→// A CRC mismatch indicates a truncated trailing record (expected on crash).\n   326→func readWALRecord(r io.Reader) (*WALMessage, error) {\n   327→\tvar magic uint32\n   328→\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n   329→\t\tif err == io.EOF {\n   330→\t\t\treturn nil, nil // Clean EOF\n   331→\t\t}\n   332→\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n   333→\t}\n   334→\n   335→\tif magic != walRecordMagic {\n   336→\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n   337→\t}\n   338→\n   339→\tvar payloadLen uint32\n   340→\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n   341→\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n   342→\t}\n   343→\n   344→\tif payloadLen > 1<<20 { // 1 MB sanity limit\n   345→\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n   346→\t}\n   347→\n   348→\tpayload := make([]byte, payloadLen)\n   349→\tif _, err := io.ReadFull(r, payload); err != nil {\n   350→\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n   351→\t}\n   352→\n   353→\tvar storedCRC uint32\n   354→\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n   355→\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n   356→\t}\n   357→\n   358→\tif crc32.ChecksumIEEE(payload) != storedCRC {\n   359→\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n   360→\t}\n   361→\n   362→\treturn parseWALPayload(payload)\n   363→}\n   364→\n   365→// parseWALPayload decodes a binary payload into a WALMessage.\n   366→func parseWALPayload(payload []byte) (*WALMessage, error) {\n   367→\tif len(payload) < 8+2+1+4 {\n   368→\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n   369→\t}\n   370→\n   371→\toffset := 0\n   372→\n   373→\t// Timestamp (8 bytes)\n   374→\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n   375→\toffset += 8\n   376→\n   377→\t// Metric name (2-byte length + bytes)\n   378→\tif offset+2 > len(payload) {\n   379→\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n   380→\t}\n   381→\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n   382→\toffset += 2\n   383→\n   384→\tif offset+mLen > len(payload) {\n   385→\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n   386→\t}\n   387→\tmetricName := string(payload[offset : offset+mLen])\n   388→\toffset += mLen\n   389→\n   390→\t// Selector count (1 byte)\n   391→\tif offset >= len(payload) {\n   392→\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n   393→\t}\n   394→\tselCount := int(payload[offset])\n   395→\toffset++\n   396→\n   397→\tselectors := make([]string, selCount)\n   398→\tfor i := range selCount {\n   399→\t\tif offset >= len(payload) {\n   400→\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n   401→\t\t}\n   402→\t\tsLen := int(payload[offset])\n   403→\t\toffset++\n   404→\n   405→\t\tif offset+sLen > len(payload) {\n   406→\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n   407→\t\t}\n   408→\t\tselectors[i] = string(payload[offset : offset+sLen])\n   409→\t\toffset += sLen\n   410→\t}\n   411→\n   412→\t// Value (4 bytes, float32 bits)\n   413→\tif offset+4 > len(payload) {\n   414→\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n   415→\t}\n   416→\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n   417→\tvalue := schema.Float(math.Float32frombits(bits))\n   418→\n   419→\treturn &WALMessage{\n   420→\t\tMetricName: metricName,\n   421→\t\tTimestamp:  ts,\n   422→\t\tSelector:   selectors,\n   423→\t\tValue:      value,\n   424→\t}, nil\n   425→}\n   426→\n   427→// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n   428→// l is the host-level node. Corrupt or partial trailing records are silently skipped\n   429→// (expected on crash). Records older than 'from' are skipped.\n   430→func (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n   431→\tbr := bufio.NewReader(f)\n   432→\n   433→\t// Verify file header magic.\n   434→\tvar fileMagic uint32\n   435→\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n   436→\t\tif err == io.EOF {\n   437→\t\t\treturn nil // Empty file, no data\n   438→\t\t}\n   439→\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n   440→\t}\n   441→\n   442→\tif fileMagic != walFileMagic {\n   443→\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n   444→\t}\n   445→\n   446→\t// Cache level lookups to avoid repeated tree traversal.\n   447→\tlvlCache := make(map[string]*Level)\n   448→\n   449→\tfor {\n   450→\t\tmsg, err := readWALRecord(br)\n   451→\t\tif err != nil {\n   452→\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n   453→\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n   454→\t\t\tbreak\n   455→\t\t}\n   456→\t\tif msg == nil {\n   457→\t\t\tbreak // Clean EOF\n   458→\t\t}\n   459→\n   460→\t\tif msg.Timestamp < from {\n   461→\t\t\tcontinue // Older than retention window\n   462→\t\t}\n   463→\n   464→\t\tminfo, ok := m.Metrics[msg.MetricName]\n   465→\t\tif !ok {\n   466→\t\t\tcontinue // Unknown metric (config may have changed)\n   467→\t\t}\n   468→\n   469→\t\t// Cache key is the null-separated selector path.\n   470→\t\tcacheKey := joinSelector(msg.Selector)\n   471→\t\tlvl, ok := lvlCache[cacheKey]\n   472→\t\tif !ok {\n   473→\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n   474→\t\t\tlvlCache[cacheKey] = lvl\n   475→\t\t}\n   476→\n   477→\t\t// Write directly to the buffer, same as WriteToLevel but without the\n   478→\t\t// global level lookup (we already have the right level).\n   479→\t\tlvl.lock.Lock()\n   480→\t\tb := lvl.metrics[minfo.offset]\n   481→\t\tif b == nil {\n   482→\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n   483→\t\t\tlvl.metrics[minfo.offset] = b\n   484→\t\t}\n   485→\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n   486→\t\tif writeErr == nil && b != nb {\n   487→\t\t\tlvl.metrics[minfo.offset] = nb\n   488→\t\t}\n   489→\t\t// Ignore write errors for timestamps before buffer start (can happen when\n   490→\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n   491→\t\tlvl.lock.Unlock()\n   492→\t}\n   493→\n   494→\treturn nil\n   495→}\n   496→\n   497→// joinSelector builds a cache key from a selector slice using null bytes as separators.\n   498→func joinSelector(sel []string) string {\n   499→\tif len(sel) == 0 {\n   500→\t\treturn \"\"\n   501→\t}\n   502→\tvar result strings.Builder\n   503→\tresult.WriteString(sel[0])\n   504→\tfor i := 1; i < len(sel); i++ {\n   505→\t\tresult.WriteString(\"\\x00\" + sel[i])\n   506→\t}\n   507→\treturn result.String()\n   508→}\n   509→\n   510→// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n   511→// Returns the number of files written, the list of host directories that were\n   512→// successfully checkpointed (for WAL rotation), and any errors.\n   513→func (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n   514→\t// Collect all cluster/host pairs.\n   515→\tm.root.lock.RLock()\n   516→\ttotalHosts := 0\n   517→\tfor _, l1 := range m.root.children {\n   518→\t\tl1.lock.RLock()\n   519→\t\ttotalHosts += len(l1.children)\n   520→\t\tl1.lock.RUnlock()\n   521→\t}\n   522→\tm.root.lock.RUnlock()\n   523→\n   524→\tlevels := make([]*Level, 0, totalHosts)\n   525→\tselectors := make([][]string, 0, totalHosts)\n   526→\n   527→\tm.root.lock.RLock()\n   528→\tfor sel1, l1 := range m.root.children {\n   529→\t\tl1.lock.RLock()\n   530→\t\tfor sel2, l2 := range l1.children {\n   531→\t\t\tlevels = append(levels, l2)\n   532→\t\t\tselectors = append(selectors, []string{sel1, sel2})\n   533→\t\t}\n   534→\t\tl1.lock.RUnlock()\n   535→\t}\n   536→\tm.root.lock.RUnlock()\n   537→\n   538→\ttype workItem struct {\n   539→\t\tlevel    *Level\n   540→\t\thostDir  string\n   541→\t\tselector []string\n   542→\t}\n   543→\n   544→\tn, errs := int32(0), int32(0)\n   545→\tvar successDirs []string\n   546→\tvar successMu sync.Mutex\n   547→\n   548→\tvar wg sync.WaitGroup\n   549→\twg.Add(Keys.NumWorkers)\n   550→\twork := make(chan workItem, Keys.NumWorkers*2)\n   551→\n   552→\tfor range Keys.NumWorkers {\n   553→\t\tgo func() {\n   554→\t\t\tdefer wg.Done()\n   555→\t\t\tfor wi := range work {\n   556→\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n   557→\t\t\t\tif err != nil {\n   558→\t\t\t\t\tif err == ErrNoNewArchiveData {\n   559→\t\t\t\t\t\tcontinue\n   560→\t\t\t\t\t}\n   561→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n   562→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   563→\t\t\t\t} else {\n   564→\t\t\t\t\tatomic.AddInt32(&n, 1)\n   565→\t\t\t\t\tsuccessMu.Lock()\n   566→\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n   567→\t\t\t\t\tsuccessMu.Unlock()\n   568→\t\t\t\t}\n   569→\t\t\t}\n   570→\t\t}()\n   571→\t}\n   572→\n   573→\tfor i := range levels {\n   574→\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n   575→\t\twork <- workItem{\n   576→\t\t\tlevel:    levels[i],\n   577→\t\t\thostDir:  hostDir,\n   578→\t\t\tselector: selectors[i],\n   579→\t\t}\n   580→\t}\n   581→\tclose(work)\n   582→\twg.Wait()\n   583→\n   584→\tif errs > 0 {\n   585→\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n   586→\t}\n   587→\treturn int(n), successDirs, nil\n   588→}\n   589→\n   590→// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n   591→// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\n   592→func (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n   593→\tcf, err := l.toCheckpointFile(from, to, m)\n   594→\tif err != nil {\n   595→\t\treturn err\n   596→\t}\n   597→\tif cf == nil {\n   598→\t\treturn ErrNoNewArchiveData\n   599→\t}\n   600→\n   601→\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n   602→\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n   603→\t}\n   604→\n   605→\t// Write to a temp file first, then rename (atomic on POSIX).\n   606→\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n   607→\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n   608→\n   609→\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n   610→\tif err != nil {\n   611→\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n   612→\t}\n   613→\n   614→\tbw := bufio.NewWriter(f)\n   615→\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n   616→\t\tf.Close()\n   617→\t\tos.Remove(tmpPath)\n   618→\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n   619→\t}\n   620→\tif err := bw.Flush(); err != nil {\n   621→\t\tf.Close()\n   622→\t\tos.Remove(tmpPath)\n   623→\t\treturn err\n   624→\t}\n   625→\tf.Close()\n   626→\n   627→\treturn os.Rename(tmpPath, finalPath)\n   628→}\n   629→\n   630→// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\n   631→func writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n   632→\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n   633→\t\treturn err\n   634→\t}\n   635→\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n   636→\t\treturn err\n   637→\t}\n   638→\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n   639→\t\treturn err\n   640→\t}\n   641→\treturn writeBinaryLevel(w, cf)\n   642→}\n   643→\n   644→// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\n   645→func writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n   646→\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n   647→\t\treturn err\n   648→\t}\n   649→\n   650→\tfor name, metric := range cf.Metrics {\n   651→\t\tif err := writeString16(w, name); err != nil {\n   652→\t\t\treturn err\n   653→\t\t}\n   654→\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n   655→\t\t\treturn err\n   656→\t\t}\n   657→\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n   658→\t\t\treturn err\n   659→\t\t}\n   660→\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n   661→\t\t\treturn err\n   662→\t\t}\n   663→\t\tfor _, v := range metric.Data {\n   664→\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n   665→\t\t\t\treturn err\n   666→\t\t\t}\n   667→\t\t}\n   668→\t}\n   669→\n   670→\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n   671→\t\treturn err\n   672→\t}\n   673→\n   674→\tfor name, child := range cf.Children {\n   675→\t\tif err := writeString16(w, name); err != nil {\n   676→\t\t\treturn err\n   677→\t\t}\n   678→\t\tif err := writeBinaryLevel(w, child); err != nil {\n   679→\t\t\treturn err\n   680→\t\t}\n   681→\t}\n   682→\n   683→\treturn nil\n   684→}\n   685→\n   686→// writeString16 writes a 2-byte length-prefixed string to w.\n   687→func writeString16(w io.Writer, s string) error {\n   688→\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n   689→\t\treturn err\n   690→\t}\n   691→\t_, err := io.WriteString(w, s)\n   692→\treturn err\n   693→}\n   694→\n   695→// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n   696→// The retention check (from) is applied to the file's 'to' timestamp.\n   697→func (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n   698→\tbr := bufio.NewReader(f)\n   699→\n   700→\tvar magic uint32\n   701→\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n   702→\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n   703→\t}\n   704→\tif magic != snapFileMagic {\n   705→\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n   706→\t}\n   707→\n   708→\tvar fileFrom, fileTo int64\n   709→\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n   710→\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n   711→\t}\n   712→\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n   713→\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n   714→\t}\n   715→\n   716→\tif fileTo != 0 && fileTo < from {\n   717→\t\treturn nil // File is older than retention window, skip it\n   718→\t}\n   719→\n   720→\tcf, err := readBinaryLevel(br)\n   721→\tif err != nil {\n   722→\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n   723→\t}\n   724→\tcf.From = fileFrom\n   725→\tcf.To = fileTo\n   726→\n   727→\treturn l.loadFile(cf, m)\n   728→}\n   729→\n   730→// readBinaryLevel recursively reads a level from the binary snapshot format.\n   731→func readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n   732→\tcf := &CheckpointFile{\n   733→\t\tMetrics:  make(map[string]*CheckpointMetrics),\n   734→\t\tChildren: make(map[string]*CheckpointFile),\n   735→\t}\n   736→\n   737→\tvar numMetrics uint32\n   738→\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n   739→\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n   740→\t}\n   741→\n   742→\tfor range numMetrics {\n   743→\t\tname, err := readString16(r)\n   744→\t\tif err != nil {\n   745→\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n   746→\t\t}\n   747→\n   748→\t\tvar freq, start int64\n   749→\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n   750→\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n   751→\t\t}\n   752→\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n   753→\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n   754→\t\t}\n   755→\n   756→\t\tvar numValues uint32\n   757→\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n   758→\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n   759→\t\t}\n   760→\n   761→\t\tdata := make([]schema.Float, numValues)\n   762→\t\tfor i := range numValues {\n   763→\t\t\tvar bits uint32\n   764→\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n   765→\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n   766→\t\t\t}\n   767→\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n   768→\t\t}\n   769→\n   770→\t\tcf.Metrics[name] = &CheckpointMetrics{\n   771→\t\t\tFrequency: freq,\n   772→\t\t\tStart:     start,\n   773→\t\t\tData:      data,\n   774→\t\t}\n   775→\t}\n   776→\n   777→\tvar numChildren uint32\n   778→\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\n   779→\t\treturn nil, fmt.Errorf(\"read num_children: %w\", err)\n   780→\t}\n   781→\n   782→\tfor range numChildren {\n   783→\t\tchildName, err := readString16(r)\n   784→\t\tif err != nil {\n   785→\t\t\treturn nil, fmt.Errorf(\"read child name: %w\", err)\n   786→\t\t}\n   787→\n   788→\t\tchild, err := readBinaryLevel(r)\n   789→\t\tif err != nil {\n   790→\t\t\treturn nil, fmt.Errorf(\"read child %s: %w\", childName, err)\n   791→\t\t}\n   792→\t\tcf.Children[childName] = child\n   793→\t}\n   794→\n   795→\treturn cf, nil\n   796→}\n   797→\n   798→// readString16 reads a 2-byte length-prefixed string from r.\n   799→func readString16(r io.Reader) (string, error) {\n   800→\tvar sLen uint16\n   801→\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {\n   802→\t\treturn \"\", err\n   803→\t}\n   804→\tbuf := make([]byte, sLen)\n   805→\tif _, err := io.ReadFull(r, buf); err != nil {\n   806→\t\treturn \"\", err\n   807→\t}\n   808→\treturn string(buf), nil\n   809→}\n   810→"}]},"uuid":"9f0eeed1-fa92-4a09-8281-3e703bbe7f66","timestamp":"2026-03-18T05:08:48.245Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n//\n// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n// per host, eliminating the extra memory overhead of the AvroStore and providing\n// truly continuous (per-write) crash safety.\n//\n// # Architecture\n//\n//\tMetric write (DecodeLine)\n//\t      │\n//\t      ├─► WriteToLevel()    → main MemoryStore (unchanged)\n//\t      │\n//\t      └─► WALMessages channel\n//\t               │\n//\t               ▼\n//\t        WALStaging goroutine\n//\t               │\n//\t               ▼\n//\t        checkpoints/cluster/host/current.wal  (append-only, binary)\n//\n//\tPeriodic checkpoint (Checkpointing goroutine):\n//\t  1. Write <timestamp>.bin snapshot (column-oriented, from main tree)\n//\t  2. Signal WALStaging to truncate current.wal per host\n//\n//\tOn restart (FromCheckpoint):\n//\t  1. Load most recent <timestamp>.bin snapshot\n//\t  2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n//\n// # WAL Record Format\n//\n//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n//\n//\tpayload:\n//\t  [8B timestamp int64]\n//\t  [2B metric_name_len uint16][N metric name bytes]\n//\t  [1B selector_count uint8]\n//\t  per selector: [1B selector_len uint8][M selector bytes]\n//\t  [4B value float32 bits]\n//\n// # Binary Snapshot Format\n//\n//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n//\tLevel tree (recursive):\n//\t  [4B num_metrics uint32]\n//\t  per metric:\n//\t    [2B name_len uint16][N name bytes]\n//\t    [8B frequency int64][8B start int64]\n//\t    [4B num_values uint32][num_values × 4B float32]\n//\t  [4B num_children uint32]\n//\t  per child: [2B name_len uint16][N name bytes] + Level (recursive)\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/binary\"\n\t\"fmt\"\n\t\"hash/crc32\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"path\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Magic numbers for binary formats.\nconst (\n\twalFileMagic   = uint32(0xCC1DA701) // WAL file header magic\n\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n\tsnapFileMagic  = uint32(0xCC5B0001) // Binary snapshot magic\n)\n\n// WALMessages is the channel for sending metric writes to the WAL staging goroutine.\n// Buffered to allow burst writes without blocking the metric ingestion path.\nvar WALMessages = make(chan *WALMessage, 4096)\n\n// walRotateCh is used by the checkpoint goroutine to request WAL file rotation\n// (close, delete, reopen) after a binary snapshot has been written.\nvar walRotateCh = make(chan walRotateReq, 256)\n\n// WALMessage represents a single metric write to be appended to the WAL.\n// Cluster and Node are NOT stored in the WAL record (inferred from file path).\ntype WALMessage struct {\n\tMetricName string\n\tCluster    string\n\tNode       string\n\tSelector   []string\n\tValue      schema.Float\n\tTimestamp  int64\n}\n\n// walRotateReq requests WAL file rotation for a specific host directory.\n// The done channel is closed by the WAL goroutine when rotation is complete.\ntype walRotateReq struct {\n\thostDir string\n\tdone    chan struct{}\n}\n\n// walFileState holds an open WAL file handle and buffered writer for one host directory.\ntype walFileState struct {\n\tf *os.File\n\tw *bufio.Writer\n}\n\n// WALStaging starts a background goroutine that receives WALMessage items\n// and appends binary WAL records to per-host current.wal files.\n// Also handles WAL rotation requests from the checkpoint goroutine.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\twg.Go(func() {\n\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\t\treturn\n\t\t}\n\n\t\thostFiles := make(map[string]*walFileState)\n\n\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\n\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\tw := bufio.NewWriter(f)\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tws = &walFileState{f: f, w: w}\n\t\t\thostFiles[hostDir] = ws\n\t\t\treturn ws\n\t\t}\n\n\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tws := getOrOpenWAL(hostDir)\n\t\t\tif ws == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}\n\n\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.w.Flush()\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}\n\n\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\t// Flush all buffered writers after draining remaining messages.\n\t\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFiles(hostDirs []string) {\n\tdones := make([]chan struct{}, len(hostDirs))\n\tfor i, dir := range hostDirs {\n\t\tdones[i] = make(chan struct{})\n\t\twalRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}\n\t}\n\tfor _, done := range dones {\n\t\t<-done\n\t}\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFilesAfterShutdown(hostDirs []string) {\n\tfor _, dir := range hostDirs {\n\t\twalPath := path.Join(dir, \"current.wal\")\n\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t}\n\t}\n}\n\n// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\nfunc buildWALPayload(msg *WALMessage) []byte {\n\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n\tfor _, s := range msg.Selector {\n\t\tsize += 1 + len(s)\n\t}\n\n\tbuf := make([]byte, 0, size)\n\n\t// Timestamp (8 bytes, little-endian int64)\n\tvar ts [8]byte\n\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n\tbuf = append(buf, ts[:]...)\n\n\t// Metric name (2-byte length prefix + bytes)\n\tvar mLen [2]byte\n\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n\tbuf = append(buf, mLen[:]...)\n\tbuf = append(buf, msg.MetricName...)\n\n\t// Selector count (1 byte)\n\tbuf = append(buf, byte(len(msg.Selector)))\n\n\t// Selectors (1-byte length prefix + bytes each)\n\tfor _, sel := range msg.Selector {\n\t\tbuf = append(buf, byte(len(sel)))\n\t\tbuf = append(buf, sel...)\n\t}\n\n\t// Value (4 bytes, float32 bit representation)\n\tvar val [4]byte\n\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n\tbuf = append(buf, val[:]...)\n\n\treturn buf\n}\n\n// writeWALRecord appends a binary WAL record to the writer.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(w io.Writer, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := w.Write(record)\n\treturn err\n}\n\n// readWALRecord reads one WAL record from the reader.\n// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n// A CRC mismatch indicates a truncated trailing record (expected on crash).\nfunc readWALRecord(r io.Reader) (*WALMessage, error) {\n\tvar magic uint32\n\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil, nil // Clean EOF\n\t\t}\n\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n\t}\n\n\tif magic != walRecordMagic {\n\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n\t}\n\n\tvar payloadLen uint32\n\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n\t}\n\n\tif payloadLen > 1<<20 { // 1 MB sanity limit\n\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n\t}\n\n\tpayload := make([]byte, payloadLen)\n\tif _, err := io.ReadFull(r, payload); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n\t}\n\n\tvar storedCRC uint32\n\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n\t}\n\n\tif crc32.ChecksumIEEE(payload) != storedCRC {\n\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n\t}\n\n\treturn parseWALPayload(payload)\n}\n\n// parseWALPayload decodes a binary payload into a WALMessage.\nfunc parseWALPayload(payload []byte) (*WALMessage, error) {\n\tif len(payload) < 8+2+1+4 {\n\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n\t}\n\n\toffset := 0\n\n\t// Timestamp (8 bytes)\n\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n\toffset += 8\n\n\t// Metric name (2-byte length + bytes)\n\tif offset+2 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n\t}\n\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n\toffset += 2\n\n\tif offset+mLen > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n\t}\n\tmetricName := string(payload[offset : offset+mLen])\n\toffset += mLen\n\n\t// Selector count (1 byte)\n\tif offset >= len(payload) {\n\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n\t}\n\tselCount := int(payload[offset])\n\toffset++\n\n\tselectors := make([]string, selCount)\n\tfor i := range selCount {\n\t\tif offset >= len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n\t\t}\n\t\tsLen := int(payload[offset])\n\t\toffset++\n\n\t\tif offset+sLen > len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n\t\t}\n\t\tselectors[i] = string(payload[offset : offset+sLen])\n\t\toffset += sLen\n\t}\n\n\t// Value (4 bytes, float32 bits)\n\tif offset+4 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n\t}\n\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n\tvalue := schema.Float(math.Float32frombits(bits))\n\n\treturn &WALMessage{\n\t\tMetricName: metricName,\n\t\tTimestamp:  ts,\n\t\tSelector:   selectors,\n\t\tValue:      value,\n\t}, nil\n}\n\n// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n// l is the host-level node. Corrupt or partial trailing records are silently skipped\n// (expected on crash). Records older than 'from' are skipped.\nfunc (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\t// Verify file header magic.\n\tvar fileMagic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil // Empty file, no data\n\t\t}\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n\t}\n\n\tif fileMagic != walFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n\t}\n\n\t// Cache level lookups to avoid repeated tree traversal.\n\tlvlCache := make(map[string]*Level)\n\n\tfor {\n\t\tmsg, err := readWALRecord(br)\n\t\tif err != nil {\n\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n\t\t\tbreak\n\t\t}\n\t\tif msg == nil {\n\t\t\tbreak // Clean EOF\n\t\t}\n\n\t\tif msg.Timestamp < from {\n\t\t\tcontinue // Older than retention window\n\t\t}\n\n\t\tminfo, ok := m.Metrics[msg.MetricName]\n\t\tif !ok {\n\t\t\tcontinue // Unknown metric (config may have changed)\n\t\t}\n\n\t\t// Cache key is the null-separated selector path.\n\t\tcacheKey := joinSelector(msg.Selector)\n\t\tlvl, ok := lvlCache[cacheKey]\n\t\tif !ok {\n\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n\t\t\tlvlCache[cacheKey] = lvl\n\t\t}\n\n\t\t// Write directly to the buffer, same as WriteToLevel but without the\n\t\t// global level lookup (we already have the right level).\n\t\tlvl.lock.Lock()\n\t\tb := lvl.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n\t\t\tlvl.metrics[minfo.offset] = b\n\t\t}\n\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n\t\tif writeErr == nil && b != nb {\n\t\t\tlvl.metrics[minfo.offset] = nb\n\t\t}\n\t\t// Ignore write errors for timestamps before buffer start (can happen when\n\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n\t\tlvl.lock.Unlock()\n\t}\n\n\treturn nil\n}\n\n// joinSelector builds a cache key from a selector slice using null bytes as separators.\nfunc joinSelector(sel []string) string {\n\tif len(sel) == 0 {\n\t\treturn \"\"\n\t}\n\tvar result strings.Builder\n\tresult.WriteString(sel[0])\n\tfor i := 1; i < len(sel); i++ {\n\t\tresult.WriteString(\"\\x00\" + sel[i])\n\t}\n\treturn result.String()\n}\n\n// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n// Returns the number of files written, the list of host directories that were\n// successfully checkpointed (for WAL rotation), and any errors.\nfunc (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n\t// Collect all cluster/host pairs.\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel    *Level\n\t\thostDir  string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\tvar successDirs []string\n\tvar successMu sync.Mutex\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\n\tfor range Keys.NumWorkers {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor wi := range work {\n\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n\t\t\t\tif err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\tsuccessMu.Lock()\n\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n\t\t\t\t\tsuccessMu.Unlock()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := range levels {\n\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel:    levels[i],\n\t\t\thostDir:  hostDir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n\t}\n\treturn int(n), successDirs, nil\n}\n\n// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\nfunc (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n\t}\n\n\t// Write to a temp file first, then rename (atomic on POSIX).\n\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n\n\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n\t}\n\n\tbw := bufio.NewWriter(f)\n\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n\t}\n\tif err := bw.Flush(); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn err\n\t}\n\tf.Close()\n\n\treturn os.Rename(tmpPath, finalPath)\n}\n\n// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\nfunc writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n\t\treturn err\n\t}\n\treturn writeBinaryLevel(w, cf)\n}\n\n// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\nfunc writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, metric := range cf.Metrics {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tfor _, v := range metric.Data {\n\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, child := range cf.Children {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := writeBinaryLevel(w, child); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// writeString16 writes a 2-byte length-prefixed string to w.\nfunc writeString16(w io.Writer, s string) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n\t\treturn err\n\t}\n\t_, err := io.WriteString(w, s)\n\treturn err\n}\n\n// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n// The retention check (from) is applied to the file's 'to' timestamp.\nfunc (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\tvar magic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n\t}\n\tif magic != snapFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n\t}\n\n\tvar fileFrom, fileTo int64\n\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n\t}\n\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n\t}\n\n\tif fileTo != 0 && fileTo < from {\n\t\treturn nil // File is older than retention window, skip it\n\t}\n\n\tcf, err := readBinaryLevel(br)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n\t}\n\tcf.From = fileFrom\n\tcf.To = fileTo\n\n\treturn l.loadFile(cf, m)\n}\n\n// readBinaryLevel recursively reads a level from the binary snapshot format.\nfunc readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n\tcf := &CheckpointFile{\n\t\tMetrics:  make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tvar numMetrics uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n\t}\n\n\tfor range numMetrics {\n\t\tname, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n\t\t}\n\n\t\tvar freq, start int64\n\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n\t\t}\n\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n\t\t}\n\n\t\tvar numValues uint32\n\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n\t\t}\n\n\t\tdata := make([]schema.Float, numValues)\n\t\tfor i := range numValues {\n\t\t\tvar bits uint32\n\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n\t\t\t}\n\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n\t\t}\n\n\t\tcf.Metrics[name] = &CheckpointMetrics{\n\t\t\tFrequency: freq,\n\t\t\tStart:     start,\n\t\t\tData:      data,\n\t\t}\n\t}\n\n\tvar numChildren uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_children: %w\", err)\n\t}\n\n\tfor range numChildren {\n\t\tchildName, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child name: %w\", err)\n\t\t}\n\n\t\tchild, err := readBinaryLevel(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child %s: %w\", childName, err)\n\t\t}\n\t\tcf.Children[childName] = child\n\t}\n\n\treturn cf, nil\n}\n\n// readString16 reads a 2-byte length-prefixed string from r.\nfunc readString16(r io.Reader) (string, error) {\n\tvar sLen uint16\n\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {\n\t\treturn \"\", err\n\t}\n\tbuf := make([]byte, sLen)\n\tif _, err := io.ReadFull(r, buf); err != nil {\n\t\treturn \"\", err\n\t}\n\treturn string(buf), nil\n}\n","numLines":810,"startLine":1,"totalLines":810}},"sourceToolAssistantUUID":"0f843ded-787a-4a2c-b5f2-64b7dcc395da","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5eb20a94-f8df-4979-a0ae-2aa99bfad884","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"parentUuid":"5ff2f92f-1915-46b7-92ab-fd1d6e5dff31","isSidechain":false,"promptId":"6e6c2140-4cee-4dea-b053-88ef3746e514","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DNYE24zhfdsNmUmNiTSZ3p","type":"tool_result","content":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go-11-//\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go-12-//\tMetricStoreConfig (Keys)\npkg/metricstore/config.go:13://\t├─ NumWorkers: Parallel checkpoint/archive workers\npkg/metricstore/config.go-14-/\t├─ RetentionInMemory: How long to keep data in RAM (also used as cleanup interval)\npkg/metricstore/config.go-15-/\t├─ MemoryCap: Memory limit in bytes (triggers forceFree)\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go-112-//\npkg/metricstore/config.go-113-/ Fields:\npkg/metricstore/config.go:114://   - NumWorkers:        Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10))\npkg/metricstore/config.go-115-/   - RetentionInMemory: Duration string (e.g., \"48h\") for in-memory data retention\npkg/metricstore/config.go-116-/   - MemoryCap:         Max memory in GB for buffer data (0 = unlimited); triggers forceFree when exceeded\n--\npkg/metricstore/config.go-119-/   - Archive:           Long-term storage configuration (nil = disabled)\npkg/metricstore/config.go-120-/   - Subscriptions:     NATS topics for metric ingestion (nil = polling only)\npkg/metricstore/config.go:121:type MetricStoreConfig struct {\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go-122-\t// Number of concurrent workers for checkpoint and archive operations.\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go-123-\t// If not set or 0, defaults to min(runtime.NumCPU()/2+1, 10)\npkg/metricstore/config.go:124:\tNumWorkers         int            `json:\"num-workers\"`\npkg/metricstore/config.go-125-\tRetentionInMemory  string         `json:\"retention-in-memory\"`\npkg/metricstore/config.go-126-\tCheckpointInterval string         `json:\"checkpoint-interval,omitempty\"`\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go-134-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go-135-\npkg/metricstore/metricstore.go:136:\t// Set NumWorkers from config or use default\npkg/metricstore/metricstore.go:137:\tif Keys.NumWorkers <= 0 {\npkg/metricstore/metricstore.go:138:\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go-139-\t}\npkg/metricstore/metricstore.go:140:\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go-141-\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go-142-\t// Pass the config.MetricStoreKeys\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go-182-//\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go-183-// Metrics at root and cluster levels are skipped. One file per host is created.\npkg/metricstore/checkpoint.go:184:// Uses worker pool (Keys.NumWorkers) for parallel processing. Only locks one host\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go-185-// at a time, allowing concurrent writes/reads to other hosts.\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go-186-//\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go-220-\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go-221-\tvar wg sync.WaitGroup\npkg/metricstore/checkpoint.go:222:\twg.Add(Keys.NumWorkers)\npkg/metricstore/checkpoint.go:223:\twork := make(chan workItem, Keys.NumWorkers*2)\npkg/metricstore/checkpoint.go:224:\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go-225-\t\tgo func() {\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go-226-\t\t\tdefer wg.Done()\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go-395-func (m *MemoryStore) FromCheckpoint(dir string, from int64) (int, error) {\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go-396-\tvar wg sync.WaitGroup\npkg/metricstore/checkpoint.go:397:\twork := make(chan [2]string, Keys.NumWorkers*4)\npkg/metricstore/checkpoint.go-398-\tn, errs := int32(0), int32(0)\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go-399-\npkg/metricstore/checkpoint.go:400:\twg.Add(Keys.NumWorkers)\npkg/metricstore/checkpoint.go:401:\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go-402-\t\tgo func() {\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go-403-\t\t\tdefer wg.Done()\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/archive.go-106-\tvar wg sync.WaitGroup\npkg/metricstore/archive.go-107-\tn, errs := int32(0), int32(0)\npkg/metricstore/archive.go:108:\twork := make(chan workItem, Keys.NumWorkers)\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/archive.go-109-\npkg/metricstore/archive.go:110:\twg.Add(Keys.NumWorkers)\npkg/metricstore/archive.go:111:\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/archive.go-112-\t\tgo func() {\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/archive.go-113-\t\t\tdefer wg.Done()\n--\npkg/metricstore/archive.go-203-\t\twork := make(chan struct {\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/archive.go-204-\t\t\tdir, host string\npkg/metricstore/archive.go:205:\t\t}, Keys.NumWorkers)\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/archive.go-206-\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/archive.go-207-\t\tvar wg sync.WaitGroup\npkg/metricstore/archive.go-208-\t\terrs := int32(0)\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/archive.go-209-\npkg/metricstore/archive.go:210:\t\twg.Add(Keys.NumWorkers)\npkg/metricstore/archive.go:211:\t\tfor w := 0; w < Keys.NumWorkers; w++ {\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/archive.go-212-\t\t\tgo func() {\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/archive.go-213-\t\t\t\tdefer wg.Done()\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go-547-\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go-548-\tvar wg sync.WaitGroup\npkg/metricstore/walCheckpoint.go:549:\twg.Add(Keys.NumWorkers)\npkg/metricstore/walCheckpoint.go:550:\twork := make(chan workItem, Keys.NumWorkers*2)\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go-551-\npkg/metricstore/walCheckpoint.go:552:\tfor range Keys.NumWorkers {\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go-553-\t\tgo func() {\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go-554-\t\t\tdefer wg.Done()"}]},"uuid":"4f367e67-6395-4951-a57e-0190d9fe3bae","timestamp":"2026-03-18T05:08:59.840Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go-11-//\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go-12-//\tMetricStoreConfig (Keys)\npkg/metricstore/config.go:13://\t├─ NumWorkers: Parallel checkpoint/archive workers\npkg/metricstore/config.go-14-/\t├─ RetentionInMemory: How long to keep data in RAM (also used as cleanup interval)\npkg/metricstore/config.go-15-/\t├─ MemoryCap: Memory limit in bytes (triggers forceFree)\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go-112-//\npkg/metricstore/config.go-113-/ Fields:\npkg/metricstore/config.go:114://   - NumWorkers:        Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10))\npkg/metricstore/config.go-115-/   - RetentionInMemory: Duration string (e.g., \"48h\") for in-memory data retention\npkg/metricstore/config.go-116-/   - MemoryCap:         Max memory in GB for buffer data (0 = unlimited); triggers forceFree when exceeded\n--\npkg/metricstore/config.go-119-/   - Archive:           Long-term storage configuration (nil = disabled)\npkg/metricstore/config.go-120-/   - Subscriptions:     NATS topics for metric ingestion (nil = polling only)\npkg/metricstore/config.go:121:type MetricStoreConfig struct {\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go-122-\t// Number of concurrent workers for checkpoint and archive operations.\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go-123-\t// If not set or 0, defaults to min(runtime.NumCPU()/2+1, 10)\npkg/metricstore/config.go:124:\tNumWorkers         int            `json:\"num-workers\"`\npkg/metricstore/config.go-125-\tRetentionInMemory  string         `json:\"retention-in-memory\"`\npkg/metricstore/config.go-126-\tCheckpointInterval string         `json:\"checkpoint-interval,omitempty\"`\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go-134-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go-135-\npkg/metricstore/metricstore.go:136:\t// Set NumWorkers from config or use default\npkg/metricstore/metricstore.go:137:\tif Keys.NumWorkers <= 0 {\npkg/metricstore/metricstore.go:138:\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go-139-\t}\npkg/metricstore/metricstore.go:140:\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go-141-\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go-142-\t// Pass the config.MetricStoreKeys\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go-182-//\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go-183-// Metrics at root and cluster levels are skipped. One file per host is created.\npkg/metricstore/checkpoint.go:184:// Uses worker pool (Keys.NumWorkers) for parallel processing. Only locks one host\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go-185-// at a time, allowing concurrent writes/reads to other hosts.\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go-186-//\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go-220-\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go-221-\tvar wg sync.WaitGroup\npkg/metricstore/checkpoint.go:222:\twg.Add(Keys.NumWorkers)\npkg/metricstore/checkpoint.go:223:\twork := make(chan workItem, Keys.NumWorkers*2)\npkg/metricstore/checkpoint.go:224:\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go-225-\t\tgo func() {\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go-226-\t\t\tdefer wg.Done()\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go-395-func (m *MemoryStore) FromCheckpoint(dir string, from int64) (int, error) {\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go-396-\tvar wg sync.WaitGroup\npkg/metricstore/checkpoint.go:397:\twork := make(chan [2]string, Keys.NumWorkers*4)\npkg/metricstore/checkpoint.go-398-\tn, errs := int32(0), int32(0)\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go-399-\npkg/metricstore/checkpoint.go:400:\twg.Add(Keys.NumWorkers)\npkg/metricstore/checkpoint.go:401:\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go-402-\t\tgo func() {\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go-403-\t\t\tdefer wg.Done()\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/archive.go-106-\tvar wg sync.WaitGroup\npkg/metricstore/archive.go-107-\tn, errs := int32(0), int32(0)\npkg/metricstore/archive.go:108:\twork := make(chan workItem, Keys.NumWorkers)\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/archive.go-109-\npkg/metricstore/archive.go:110:\twg.Add(Keys.NumWorkers)\npkg/metricstore/archive.go:111:\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/archive.go-112-\t\tgo func() {\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/archive.go-113-\t\t\tdefer wg.Done()\n--\npkg/metricstore/archive.go-203-\t\twork := make(chan struct {\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/archive.go-204-\t\t\tdir, host string\npkg/metricstore/archive.go:205:\t\t}, Keys.NumWorkers)\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/archive.go-206-\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/archive.go-207-\t\tvar wg sync.WaitGroup\npkg/metricstore/archive.go-208-\t\terrs := int32(0)\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/archive.go-209-\npkg/metricstore/archive.go:210:\t\twg.Add(Keys.NumWorkers)\npkg/metricstore/archive.go:211:\t\tfor w := 0; w < Keys.NumWorkers; w++ {\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/archive.go-212-\t\t\tgo func() {\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/archive.go-213-\t\t\t\tdefer wg.Done()\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go-547-\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go-548-\tvar wg sync.WaitGroup\npkg/metricstore/walCheckpoint.go:549:\twg.Add(Keys.NumWorkers)\npkg/metricstore/walCheckpoint.go:550:\twork := make(chan workItem, Keys.NumWorkers*2)\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go-551-\npkg/metricstore/walCheckpoint.go:552:\tfor range Keys.NumWorkers {\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go-553-\t\tgo func() {\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go-554-\t\t\tdefer wg.Done()","numLines":84},"sourceToolAssistantUUID":"5ff2f92f-1915-46b7-92ab-fd1d6e5dff31","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5eb20a94-f8df-4979-a0ae-2aa99bfad884","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"parentUuid":"52e02d8c-a064-424b-95f1-51752a46f3d6","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01351VfZ7JY7eQMgUXMKUAHh","type":"message","role":"assistant","content":[{"type":"text","text":"Good, no existing drop tracking. Now let me implement all four changes.\n\n**Change 1:** Use `Keys.NumWorkers` and increase channel buffer in `ReceiveNats`."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":168,"cache_read_input_tokens":50364,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":168},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ9y6mJ1XXNAQekSfccWy","type":"assistant","uuid":"c9fb77b4-e95b-4f6b-a7ad-61df9769a06f","timestamp":"2026-03-18T05:09:09.412Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5eb20a94-f8df-4979-a0ae-2aa99bfad884","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"parentUuid":"ac09d096-c6a6-4deb-ab9e-9b8a0e8af0c4","isSidechain":false,"promptId":"6e6c2140-4cee-4dea-b053-88ef3746e514","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01P3haypbU8nxhWoZoC4U8Bp","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go has been updated successfully."}]},"uuid":"045a0dca-c3c4-4ca2-9b41-ec15b9709762","timestamp":"2026-03-18T05:09:10.341Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go","oldString":"\t\terr = ReceiveNats(ms, 1, ctx)","newString":"\t\terr = ReceiveNats(ms, Keys.NumWorkers, ctx)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides an efficient in-memory time-series metric storage system\n// with support for hierarchical data organization, checkpointing, and archiving.\n//\n// The package organizes metrics in a tree structure (cluster → host → component) and\n// provides concurrent read/write access to metric data with configurable aggregation strategies.\n// Background goroutines handle periodic checkpointing (JSON or Avro format), archiving old data,\n// and enforcing retention policies.\n//\n// Key features:\n//   - In-memory metric storage with configurable retention\n//   - Hierarchical data organization (selectors)\n//   - Concurrent checkpoint/archive workers\n//   - Support for sum and average aggregation\n//   - NATS integration for metric ingestion\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"runtime\"\n\t\"runtime/debug\"\n\t\"slices\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// GlobalState holds the global state for the metric store with thread-safe access.\ntype GlobalState struct {\n\tmu                sync.RWMutex\n\tlastRetentionTime int64\n\tselectorsExcluded bool\n}\n\nvar (\n\tsingleton  sync.Once\n\tmsInstance *MemoryStore\n\t// shutdownFunc stores the context cancellation function created in Init\n\t// and is called during Shutdown to cancel all background goroutines\n\tshutdownFunc   context.CancelFunc\n\tshutdownFuncMu sync.Mutex // Protects shutdownFunc from concurrent access\n\t// Create a global instance\n\tstate = &GlobalState{}\n)\n\n// NodeProvider provides information about nodes currently in use by running jobs.\n//\n// This interface allows metricstore to query job information without directly\n// depending on the repository package, breaking the import cycle.\n//\n// Implementations should return nodes that are actively processing jobs started\n// before the given timestamp. These nodes will be excluded from retention-based\n// garbage collection to prevent data loss for jobs that are still running or\n// recently completed.\ntype NodeProvider interface {\n\t// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n\t// that are currently in use by jobs that started before the given timestamp.\n\t//\n\t// Parameters:\n\t//   - ts: Unix timestamp threshold - returns nodes with jobs started before this time\n\t//\n\t// Returns:\n\t//   - Map of cluster names to lists of node hostnames that should be excluded from garbage collection\n\t//   - Error if the query fails\n\tGetUsedNodes(ts int64) (map[string][]string, error)\n}\n\n// Metric represents a single metric data point to be written to the store.\ntype Metric struct {\n\tName  string\n\tValue schema.Float\n\t// MetricConfig contains frequency and aggregation settings for this metric.\n\t// If Frequency is 0, configuration will be looked up from MemoryStore.Metrics during Write().\n\tMetricConfig MetricConfig\n}\n\n// MemoryStore is the main in-memory time-series metric storage implementation.\n//\n// It organizes metrics in a hierarchical tree structure where each level represents\n// a component of the system hierarchy (e.g., cluster → host → CPU). Each level can\n// store multiple metrics as time-series buffers.\n//\n// The store is initialized as a singleton via InitMetrics() and accessed via GetMemoryStore().\n// All public methods are safe for concurrent use.\ntype MemoryStore struct {\n\tMetrics      map[string]MetricConfig\n\troot         Level\n\tnodeProvider NodeProvider\n}\n\n// Init initializes the metric store from configuration and starts background workers.\n//\n// This function must be called exactly once before any other metricstore operations.\n// It performs the following initialization steps:\n//  1. Validates and decodes the metric store configuration\n//  2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n//  3. Loads metric configurations from all registered clusters\n//  4. Restores checkpoints within the retention window\n//  5. Starts background workers for retention, checkpointing, archiving, and monitoring\n//  6. Optionally subscribes to NATS for real-time metric ingestion\n//\n// Parameters:\n//   - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n//   - wg: WaitGroup that will be incremented for each background goroutine started\n//\n// The function will call cclog.Fatal on critical errors during initialization.\n// Use Shutdown() to cleanly stop all background workers started by Init().\n//\n// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n// receiving termination signals to ensure checkpoint data is persisted.\nfunc Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n\tstartupTime := time.Now()\n\n\tif rawConfig != nil {\n\t\tconfig.Validate(configSchema, rawConfig)\n\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n\t\tdec.DisallowUnknownFields()\n\t\tif err := dec.Decode(&Keys); err != nil {\n\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n\t\t}\n\t}\n\n\t// Set NumWorkers from config or use default\n\tif Keys.NumWorkers <= 0 {\n\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n\t}\n\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n\n\t// Pass the config.MetricStoreKeys\n\tInitMetrics(metrics)\n\n\tms := GetMemoryStore()\n\n\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\tif err != nil {\n\t\tcclog.Fatal(err)\n\t}\n\n\trestoreFrom := startupTime.Add(-d)\n\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n\tif err != nil {\n\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n\t} else {\n\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n\t}\n\n\t// Try to use less memory by forcing a GC run here and then\n\t// lowering the target percentage. The default of 100 means\n\t// that only once the ratio of new allocations execeds the\n\t// previously active heap, a GC is triggered.\n\t// Forcing a GC here will set the \"previously active heap\"\n\t// to a minumum.\n\t// runtime.GC()\n\n\tctx, shutdown := context.WithCancel(context.Background())\n\n\tRetention(wg, ctx)\n\tCheckpointing(wg, ctx)\n\tCleanUp(wg, ctx)\n\tWALStaging(wg, ctx)\n\tMemoryUsageTracker(wg, ctx)\n\n\t// Note: Signal handling has been removed from this function.\n\t// The caller is responsible for handling shutdown signals and calling\n\t// the shutdown() function when appropriate.\n\t// Store the shutdown function for later use by Shutdown()\n\tshutdownFuncMu.Lock()\n\tshutdownFunc = shutdown\n\tshutdownFuncMu.Unlock()\n\n\tif Keys.Subscriptions != nil {\n\t\terr = ReceiveNats(ms, 1, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t}\n}\n\n// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n//\n// This function must be called before GetMemoryStore() and can only be called once due to\n// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n//\n// Parameters:\n//   - metrics: Map of metric names to their configurations (frequency and aggregation strategy)\n//\n// Panics if any metric has Frequency == 0, which indicates an invalid configuration.\n//\n// After this call, the global msInstance is ready for use via GetMemoryStore().\nfunc InitMetrics(metrics map[string]MetricConfig) {\n\tsingleton.Do(func() {\n\t\toffset := 0\n\t\tfor key, cfg := range metrics {\n\t\t\tif cfg.Frequency == 0 {\n\t\t\t\tpanic(\"[METRICSTORE]> invalid frequency\")\n\t\t\t}\n\n\t\t\tmetrics[key] = MetricConfig{\n\t\t\t\tFrequency:   cfg.Frequency,\n\t\t\t\tAggregation: cfg.Aggregation,\n\t\t\t\toffset:      offset,\n\t\t\t}\n\t\t\toffset += 1\n\t\t}\n\n\t\tmsInstance = &MemoryStore{\n\t\t\troot: Level{\n\t\t\t\tmetrics:  make([]*buffer, len(metrics)),\n\t\t\t\tchildren: make(map[string]*Level),\n\t\t\t},\n\t\t\tMetrics: metrics,\n\t\t}\n\t})\n}\n\n// GetMemoryStore returns the singleton MemoryStore instance.\n//\n// Returns the initialized MemoryStore singleton. Calls cclog.Fatal if InitMetrics() was not called first.\n//\n// This function is safe for concurrent use after initialization.\nfunc GetMemoryStore() *MemoryStore {\n\tif msInstance == nil {\n\t\tcclog.Warnf(\"[METRICSTORE]> MemoryStore not initialized!\")\n\t}\n\n\treturn msInstance\n}\n\nfunc (ms *MemoryStore) GetMetricFrequency(metricName string) (int64, error) {\n\tif metric, ok := ms.Metrics[metricName]; ok {\n\t\treturn metric.Frequency, nil\n\t}\n\treturn 0, fmt.Errorf(\"[METRICSTORE]> metric %s not found\", metricName)\n}\n\n// SetNodeProvider sets the NodeProvider implementation for the MemoryStore.\n// This must be called during initialization to provide job state information\n// for selective buffer retention during Free operations.\n// If not set, the Free function will fall back to freeing all buffers.\nfunc (ms *MemoryStore) SetNodeProvider(provider NodeProvider) {\n\tms.nodeProvider = provider\n}\n\n// Shutdown performs a graceful shutdown of the metric store.\n//\n// This function cancels all background goroutines started by Init() and writes\n// a final checkpoint to disk before returning. It should be called when the\n// application receives a termination signal.\n//\n// The function will:\n//  1. Cancel the context to stop all background workers\n//  2. Close the WAL messages channel if using WAL format\n//  3. Write a final checkpoint to preserve in-memory data\n//  4. Log any errors encountered during shutdown\n//\n// Note: This function blocks until the final checkpoint is written.\nfunc Shutdown() {\n\tshutdownFuncMu.Lock()\n\tdefer shutdownFuncMu.Unlock()\n\tif shutdownFunc != nil {\n\t\tshutdownFunc()\n\t}\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tclose(WALMessages)\n\t}\n\n\tcclog.Infof(\"[METRICSTORE]> Writing to '%s'...\\n\", Keys.Checkpoints.RootDir)\n\tvar files int\n\tvar err error\n\n\tms := GetMemoryStore()\n\n\tlastCheckpointMu.Lock()\n\tfrom := lastCheckpoint\n\tlastCheckpointMu.Unlock()\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tvar hostDirs []string\n\t\tfiles, hostDirs, err = ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t\tif err == nil {\n\t\t\tRotateWALFilesAfterShutdown(hostDirs)\n\t\t}\n\t} else {\n\t\tfiles, err = ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t}\n\n\tif err != nil {\n\t\tcclog.Errorf(\"[METRICSTORE]> Writing checkpoint failed: %s\\n\", err.Error())\n\t}\n\tcclog.Infof(\"[METRICSTORE]> Done! (%d files written)\\n\", files)\n}\n\n// Retention starts a background goroutine that periodically frees old metric data.\n//\n// This worker runs at half the retention interval and calls Free() to remove buffers\n// older than the configured retention time. It respects the NodeProvider to preserve\n// data for nodes with active jobs.\n//\n// Parameters:\n//   - wg: WaitGroup to signal completion when context is cancelled\n//   - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc Retention(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\ttickInterval := d / 2\n\t\tif tickInterval <= 0 {\n\t\t\treturn\n\t\t}\n\t\tticker := time.NewTicker(tickInterval)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tstate.mu.Lock()\n\n\t\t\t\tt := time.Now().Add(-d)\n\n\t\t\t\tstate.lastRetentionTime = t.Unix()\n\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start freeing buffers (older than %s)...\\n\", t.Format(time.RFC3339))\n\n\t\t\t\tfreed, err := Free(ms, t)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> freeing up buffers failed: %s\\n\", err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d buffers freed\\n\", freed)\n\t\t\t\t}\n\n\t\t\t\tstate.mu.Unlock()\n\n\t\t\t\t// Clean up the buffer pool\n\t\t\t\tbufferPool.Clean(state.lastRetentionTime)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// MemoryUsageTracker starts a background goroutine that monitors memory usage.\n//\n// This worker checks actual process memory usage (via runtime.MemStats) periodically\n// and force-frees buffers if memory exceeds the configured cap. It uses FreeOSMemory()\n// to return memory to the OS after freeing buffers, avoiding aggressive GC that causes\n// performance issues.\n//\n// The tracker logs both actual memory usage (heap allocated) and metric data size for\n// visibility into memory overhead from Go runtime structures and allocations.\n//\n// Parameters:\n//   - wg: WaitGroup to signal completion when context is cancelled\n//   - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n\t\tfastInterval := 30 * time.Second\n\n\t\tif normalInterval <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(normalInterval)\n\t\tdefer ticker.Stop()\n\t\tcurrentInterval := normalInterval\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tvar mem runtime.MemStats\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n\t\t\t\tmetricDataGB := ms.SizeInGB()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n\n\t\t\t\tfreedExcluded := 0\n\t\t\t\tfreedEmergency := 0\n\t\t\t\tvar err error\n\n\t\t\t\tstate.mu.RLock()\n\t\t\t\tlastRetention := state.lastRetentionTime\n\t\t\t\tselectorsExcluded := state.selectorsExcluded\n\t\t\t\tstate.mu.RUnlock()\n\n\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n\t\t\t\t\t}\n\n\t\t\t\t\tif freedExcluded > 0 {\n\t\t\t\t\t\tdebug.FreeOSMemory()\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n\n\t\t\t\t\t// Use progressive time-based Free with increasing threshold\n\t\t\t\t\t// instead of ForceFree loop — fewer tree traversals, more effective\n\t\t\t\t\td, parseErr := time.ParseDuration(Keys.RetentionInMemory)\n\t\t\t\t\tif parseErr != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> cannot parse retention duration: %s\", parseErr)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tthresholds := []float64{0.75, 0.5, 0.25}\n\t\t\t\t\t\tfor _, fraction := range thresholds {\n\t\t\t\t\t\t\tthreshold := time.Now().Add(-time.Duration(float64(d) * fraction))\n\t\t\t\t\t\t\tfreed, freeErr := ms.Free(nil, threshold.Unix())\n\t\t\t\t\t\t\tif freeErr != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s\", fraction*100, freeErr)\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tfreedEmergency += freed\n\n\t\t\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\t\t\truntime.GC()\n\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n\t\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\tdebug.FreeOSMemory()\n\n\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after emergency frees (%d buffers), memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\t// Adaptive ticker: check more frequently when memory is high\n\t\t\t\tmemoryRatio := actualMemoryGB / float64(Keys.MemoryCap)\n\t\t\t\tif memoryRatio > 0.8 && currentInterval != fastInterval {\n\t\t\t\t\tticker.Reset(fastInterval)\n\t\t\t\t\tcurrentInterval = fastInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)\", memoryRatio*100)\n\t\t\t\t} else if memoryRatio <= 0.8 && currentInterval != normalInterval {\n\t\t\t\t\tticker.Reset(normalInterval)\n\t\t\t\t\tcurrentInterval = normalInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval\", memoryRatio*100)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\n// Free removes metric data older than the given time while preserving data for active nodes.\n//\n// This function implements intelligent retention by consulting the NodeProvider (if configured)\n// to determine which nodes are currently in use by running jobs. Data for these nodes is\n// preserved even if older than the retention time.\n//\n// Parameters:\n//   - ms: The MemoryStore instance\n//   - t: Time threshold - buffers with data older than this will be freed\n//\n// Returns:\n//   - Number of buffers freed\n//   - Error if NodeProvider query fails\n//\n// Behavior:\n//   - If no NodeProvider is set: frees all buffers older than t\n//   - If NodeProvider returns empty map: frees all buffers older than t\n//   - Otherwise: preserves buffers for nodes returned by GetUsedNodes(), frees others\nfunc Free(ms *MemoryStore, t time.Time) (int, error) {\n\t// If no NodeProvider is configured, free all buffers older than t\n\tif ms.nodeProvider == nil {\n\t\treturn ms.Free(nil, t.Unix())\n\t}\n\n\texcludeSelectors, err := ms.nodeProvider.GetUsedNodes(t.Unix())\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\tswitch lenMap := len(excludeSelectors); lenMap {\n\n\t// If the length of the map returned by GetUsedNodes() is 0,\n\t// then use default Free method with nil selector\n\tcase 0:\n\t\tstate.selectorsExcluded = false\n\t\treturn ms.Free(nil, t.Unix())\n\n\t// Else formulate selectors, exclude those from the map\n\t// and free the rest of the selectors\n\tdefault:\n\t\tstate.selectorsExcluded = true\n\t\tselectors := GetSelectors(ms, excludeSelectors)\n\t\treturn FreeSelected(ms, selectors, t)\n\t}\n}\n\n// FreeSelected frees buffers for specific selectors while preserving others.\n//\n// This function is used when we want to retain some specific nodes beyond the retention time.\n// It iterates through the provided selectors and frees their associated buffers.\n//\n// Parameters:\n//   - ms: The MemoryStore instance\n//   - selectors: List of selector paths to free (e.g., [[\"cluster1\", \"node1\"], [\"cluster2\", \"node2\"]])\n//   - t: Time threshold for freeing buffers\n//\n// Returns the total number of buffers freed and any error encountered.\nfunc FreeSelected(ms *MemoryStore, selectors [][]string, t time.Time) (int, error) {\n\tfreed := 0\n\n\tfor _, selector := range selectors {\n\n\t\tfreedBuffers, err := ms.Free(selector, t.Unix())\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"error while freeing selected buffers: %#v\", err)\n\t\t}\n\t\tfreed += freedBuffers\n\n\t}\n\n\treturn freed, nil\n}\n\n// GetSelectors returns all selectors at depth 2 (cluster/node level) that are NOT in the exclusion map.\n//\n// This function generates a list of selectors whose buffers should be freed by excluding\n// selectors that correspond to nodes currently in use by running jobs.\n//\n// Parameters:\n//   - ms: The MemoryStore instance\n//   - excludeSelectors: Map of cluster names to node hostnames that should NOT be freed\n//\n// Returns a list of selectors ([]string paths) that can be safely freed.\n//\n// Example:\n//\n//\tIf the tree has paths [\"emmy\", \"node001\"] and [\"emmy\", \"node002\"],\n//\tand excludeSelectors contains {\"emmy\": [\"node001\"]},\n//\tthen only [[\"emmy\", \"node002\"]] is returned.\nfunc GetSelectors(ms *MemoryStore, excludeSelectors map[string][]string) [][]string {\n\tallSelectors := ms.GetPaths(2)\n\n\tfilteredSelectors := make([][]string, 0, len(allSelectors))\n\n\tfor _, path := range allSelectors {\n\t\tif len(path) < 2 {\n\t\t\tcontinue\n\t\t}\n\n\t\tkey := path[0]   // The \"Key\" (Level 1)\n\t\tvalue := path[1] // The \"Value\" (Level 2)\n\n\t\texclude := false\n\n\t\t// Check if the key exists in our exclusion map\n\t\tif excludedValues, exists := excludeSelectors[key]; exists {\n\t\t\t// The key exists, now check if the specific value is in the exclusion list\n\t\t\tif slices.Contains(excludedValues, value) {\n\t\t\t\texclude = true\n\t\t\t}\n\t\t}\n\n\t\tif !exclude {\n\t\t\tfilteredSelectors = append(filteredSelectors, path)\n\t\t}\n\t}\n\n\treturn filteredSelectors\n}\n\n// GetPaths returns a list of lists (paths) to the specified depth.\nfunc (ms *MemoryStore) GetPaths(targetDepth int) [][]string {\n\tvar results [][]string\n\n\t// Start recursion. Initial path is empty.\n\t// We treat Root as depth 0.\n\tms.root.collectPaths(0, targetDepth, []string{}, &results)\n\n\treturn results\n}\n\n// Write all values in `metrics` to the level specified by `selector` for time `ts`.\n// Look at `findLevelOrCreate` for how selectors work.\nfunc (m *MemoryStore) Write(selector []string, ts int64, metrics []Metric) error {\n\tvar ok bool\n\tfor i, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tmetric.MetricConfig, ok = m.Metrics[metric.Name]\n\t\t\tif !ok {\n\t\t\t\tcclog.Debugf(\"[METRICSTORE]> Unknown metric '%s' in Write() - skipping\", metric.Name)\n\t\t\t\tmetric.MetricConfig.Frequency = 0\n\t\t\t}\n\t\t\tmetrics[i] = metric\n\t\t}\n\t}\n\n\treturn m.WriteToLevel(&m.root, selector, ts, metrics)\n}\n\nfunc (m *MemoryStore) GetLevel(selector []string) *Level {\n\treturn m.root.findLevelOrCreate(selector, len(m.Metrics))\n}\n\n// WriteToLevel assumes that `minfo` in `metrics` is filled in\nfunc (m *MemoryStore) WriteToLevel(l *Level, selector []string, ts int64, metrics []Metric) error {\n\tl = l.findLevelOrCreate(selector, len(m.Metrics))\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tfor _, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tcontinue\n\t\t}\n\n\t\tb := l.metrics[metric.MetricConfig.offset]\n\t\tif b == nil {\n\t\t\t// First write to this metric and level\n\t\t\tb = newBuffer(ts, metric.MetricConfig.Frequency)\n\t\t\tl.metrics[metric.MetricConfig.offset] = b\n\t\t}\n\n\t\tnb, err := b.write(ts, metric.Value)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\t// Last write created a new buffer...\n\t\tif b != nb {\n\t\t\tl.metrics[metric.MetricConfig.offset] = nb\n\t\t}\n\t}\n\treturn nil\n}\n\n// Read returns all values for metric `metric` from `from` to `to` for the selected level(s).\n// If the level does not hold the metric itself, the data will be aggregated recursively from the children.\n// The second and third return value are the actual from/to for the data. Those can be different from\n// the range asked for if no data was available.\nfunc (m *MemoryStore) Read(selector util.Selector, metric string, from, to, resolution int64) ([]schema.Float, int64, int64, int64, error) {\n\tif from > to {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid time range\")\n\t}\n\n\tminfo, ok := m.Metrics[metric]\n\tif !ok {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> unknown metric: \" + metric)\n\t}\n\n\tn, data := 0, make([]schema.Float, (to-from)/minfo.Frequency+1)\n\n\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n\t\tcdata, cfrom, cto, err := b.read(from, to, data)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif n == 0 {\n\t\t\tfrom, to = cfrom, cto\n\t\t} else if from != cfrom || to != cto || len(data) != len(cdata) {\n\t\t\tmissingfront, missingback := int((from-cfrom)/minfo.Frequency), int((to-cto)/minfo.Frequency)\n\t\t\tif missingfront != 0 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tnewlen := len(cdata) - missingback\n\t\t\tif newlen < 1 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\t\t\tcdata = cdata[0:newlen]\n\t\t\tif len(cdata) != len(data) {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tfrom, to = cfrom, cto\n\t\t}\n\n\t\tdata = cdata\n\t\tn += 1\n\t\treturn nil\n\t})\n\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t} else if n == 0 {\n\t\treturn nil, 0, 0, 0, ErrNoHostOrMetric\n\t} else if n > 1 {\n\t\tif minfo.Aggregation == AvgAggregation {\n\t\t\tnormalize := 1. / schema.Float(n)\n\t\t\tfor i := 0; i < len(data); i++ {\n\t\t\t\tdata[i] *= normalize\n\t\t\t}\n\t\t} else if minfo.Aggregation != SumAggregation {\n\t\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid aggregation\")\n\t\t}\n\t}\n\n\tdata, resolution, err = resampler.LargestTriangleThreeBucket(data, minfo.Frequency, resolution)\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t}\n\n\treturn data, from, to, resolution, nil\n}\n\n// Free releases all buffers for the selected level and all its children that\n// contain only values older than `t`.\nfunc (m *MemoryStore) Free(selector []string, t int64) (int, error) {\n\treturn m.GetLevel(selector).free(t)\n}\n\n// ForceFree unconditionally removes the oldest buffer from each metric chain.\nfunc (m *MemoryStore) ForceFree() (int, error) {\n\treturn m.GetLevel(nil).forceFree()\n}\n\nfunc (m *MemoryStore) FreeAll() error {\n\tm.root.lock.Lock()\n\tdefer m.root.lock.Unlock()\n\n\tfor k := range m.root.children {\n\t\tdelete(m.root.children, k)\n\t}\n\n\treturn nil\n}\n\nfunc (m *MemoryStore) SizeInBytes() int64 {\n\treturn m.root.sizeInBytes()\n}\n\nfunc (m *MemoryStore) SizeInGB() float64 {\n\treturn float64(m.root.sizeInBytes()) / 1e9\n}\n\n// ListChildren , given a selector, returns a list of all children of the level\n// selected.\nfunc (m *MemoryStore) ListChildren(selector []string) []string {\n\tlvl := &m.root\n\tfor lvl != nil && len(selector) != 0 {\n\t\tlvl.lock.RLock()\n\t\tnext := lvl.children[selector[0]]\n\t\tlvl.lock.RUnlock()\n\t\tlvl = next\n\t\tselector = selector[1:]\n\t}\n\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\tlvl.lock.RLock()\n\tdefer lvl.lock.RUnlock()\n\n\tchildren := make([]string, 0, len(lvl.children))\n\tfor child := range lvl.children {\n\t\tchildren = append(children, child)\n\t}\n\n\treturn children\n}\n","structuredPatch":[{"oldStart":184,"oldLines":7,"newStart":184,"newLines":7,"lines":["   shutdownFuncMu.Unlock()"," ","   if Keys.Subscriptions != nil {","-    err = ReceiveNats(ms, 1, ctx)","+    err = ReceiveNats(ms, Keys.NumWorkers, ctx)","     if err != nil {","       cclog.Fatal(err)","     }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"ac09d096-c6a6-4deb-ab9e-9b8a0e8af0c4","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5eb20a94-f8df-4979-a0ae-2aa99bfad884","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file implements ingestion of InfluxDB line-protocol metric data received\n// over NATS. Each line encodes one metric sample with the following structure:\n//\n//\t<measurement>[,cluster=<c>][,hostname=<h>][,type=<t>][,type-id=<id>][,subtype=<s>][,stype-id=<id>] value=<v> [<timestamp>]\n//\n// The measurement name identifies the metric (e.g. \"cpu_load\"). Tags provide\n// routing information (cluster, host) and optional sub-device selectors (type,\n// subtype). Only one field is expected per line: \"value\".\n//\n// After decoding, each sample is:\n//  1. Written to the in-memory store via ms.WriteToLevel.\n//  2. If the checkpoint format is \"wal\", also forwarded to the WAL staging\n//     goroutine via the WALMessages channel for durable write-ahead logging.\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// ReceiveNats subscribes to all configured NATS subjects and feeds incoming\n// line-protocol messages into the MemoryStore.\n//\n// When workers > 1 a pool of goroutines drains a shared channel so that\n// multiple messages can be decoded in parallel. With workers == 1 the NATS\n// callback decodes inline (no channel overhead, lower latency).\n//\n// The function blocks until ctx is cancelled and all worker goroutines have\n// finished. It returns nil when the NATS client is not configured; callers\n// should treat that as a no-op rather than an error.\nfunc ReceiveNats(ms *MemoryStore,\n\tworkers int,\n\tctx context.Context,\n) error {\n\tnc := nats.GetClient()\n\n\tif nc == nil {\n\t\tcclog.Warn(\"NATS client not initialized\")\n\t\treturn nil\n\t}\n\n\tvar wg sync.WaitGroup\n\tmsgs := make(chan []byte, workers*2)\n\n\tfor _, sc := range *Keys.Subscriptions {\n\t\tclusterTag := sc.ClusterTag\n\t\tif workers > 1 {\n\t\t\twg.Add(workers)\n\n\t\t\tfor range workers {\n\t\t\t\tgo func() {\n\t\t\t\t\tdefer wg.Done()\n\t\t\t\t\tfor m := range msgs {\n\t\t\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(m)\n\t\t\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}()\n\t\t\t}\n\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tselect {\n\t\t\t\tcase msgs <- data:\n\t\t\t\tcase <-ctx.Done():\n\t\t\t\t}\n\t\t\t})\n\t\t} else {\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(data)\n\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\t\tcclog.Infof(\"NATS subscription to '%s' established\", sc.SubscribeTo)\n\t}\n\n\tgo func() {\n\t\t<-ctx.Done()\n\t\tclose(msgs)\n\t}()\n\n\twg.Wait()\n\n\treturn nil\n}\n\n// reorder prepends prefix to buf in-place when buf has enough spare capacity,\n// avoiding an allocation. Falls back to a regular append otherwise.\n//\n// It is used to assemble the \"type<type-id>\" and \"subtype<stype-id>\" selector\n// strings when the type tag arrives before the type-id tag in the line, so the\n// two byte slices need to be concatenated in tag-declaration order regardless\n// of wire order.\nfunc reorder(buf, prefix []byte) []byte {\n\tn := len(prefix)\n\tm := len(buf)\n\tif cap(buf) < m+n {\n\t\treturn append(prefix[:n:n], buf...)\n\t} else {\n\t\tbuf = buf[:n+m]\n\t\tfor i := m - 1; i >= 0; i-- {\n\t\t\tbuf[i+n] = buf[i]\n\t\t}\n\t\tfor i := range n {\n\t\t\tbuf[i] = prefix[i]\n\t\t}\n\t\treturn buf\n\t}\n}\n\n// decodeState holds the per-call scratch buffers used by DecodeLine.\n// Instances are recycled via decodeStatePool to avoid repeated allocations\n// during high-throughput ingestion.\ntype decodeState struct {\n\t// metricBuf holds a copy of the current measurement name (line-protocol\n\t// measurement field). Copied because dec.Measurement() returns a slice\n\t// that is invalidated by the next decoder call.\n\tmetricBuf []byte\n\n\t// selector is the sub-device path passed to WriteToLevel and WALMessage\n\t// (e.g. [\"socket0\"] or [\"socket0\", \"memctrl1\"]). Reused across lines.\n\tselector []string\n\n\t// typeBuf accumulates the concatenated \"type\"+\"type-id\" tag value for the\n\t// current line. Reset at the start of each line's tag-decode loop.\n\ttypeBuf []byte\n\n\t// subTypeBuf accumulates the concatenated \"subtype\"+\"stype-id\" tag value.\n\t// Reset at the start of each line's tag-decode loop.\n\tsubTypeBuf []byte\n\n\t// prevTypeBytes / prevTypeStr cache the last seen typeBuf content and its\n\t// string conversion. Because consecutive lines in a batch typically address\n\t// the same sub-device, the cache hit rate is very high and avoids\n\t// repeated []byte→string allocations.\n\tprevTypeBytes []byte\n\tprevTypeStr   string\n\n\t// prevSubTypeBytes / prevSubTypeStr are the same cache for the subtype.\n\tprevSubTypeBytes []byte\n\tprevSubTypeStr   string\n}\n\n// decodeStatePool recycles decodeState values across DecodeLine calls to\n// reduce GC pressure during sustained metric ingestion.\nvar decodeStatePool = sync.Pool{\n\tNew: func() any {\n\t\treturn &decodeState{\n\t\t\tmetricBuf:  make([]byte, 0, 16),\n\t\t\tselector:   make([]string, 0, 4),\n\t\t\ttypeBuf:    make([]byte, 0, 16),\n\t\t\tsubTypeBuf: make([]byte, 0, 16),\n\t\t}\n\t},\n}\n\n// DecodeLine reads all lines from dec (InfluxDB line-protocol) and writes each\n// decoded metric sample into ms.\n//\n// clusterDefault is used as the cluster name for lines that do not carry a\n// \"cluster\" tag. Callers typically supply the ClusterTag value from the NATS\n// subscription configuration.\n//\n// Performance notes:\n//   - A decodeState is obtained from decodeStatePool to reuse scratch buffers.\n//   - The Level pointer (host-level node in the metric tree) is cached across\n//     consecutive lines that share the same cluster+host pair to avoid\n//     repeated lock acquisitions on the root and cluster levels.\n//   - []byte→string conversions for type/subtype selectors are cached via\n//     prevType*/prevSubType* fields because batches typically repeat the same\n//     sub-device identifiers.\n//   - Timestamp parsing tries Second precision first; if that fails it retries\n//     Millisecond, Microsecond, and Nanosecond in turn. A missing timestamp\n//     falls back to time.Now().\n//\n// When the checkpoint format is \"wal\" each successfully decoded sample is also\n// sent to WALMessages so the WAL staging goroutine can persist it durably\n// before the next binary snapshot.\nfunc DecodeLine(dec *lineprotocol.Decoder,\n\tms *MemoryStore,\n\tclusterDefault string,\n) error {\n\t// Reduce allocations in loop:\n\tt := time.Now()\n\tmetric := Metric{}\n\tst := decodeStatePool.Get().(*decodeState)\n\tdefer decodeStatePool.Put(st)\n\n\t// Optimize for the case where all lines in a \"batch\" are about the same\n\t// cluster and host. By using `WriteToLevel` (level = host), we do not need\n\t// to take the root- and cluster-level lock as often.\n\tvar lvl *Level = nil\n\tprevCluster, prevHost := \"\", \"\"\n\n\tvar ok bool\n\tfor dec.Next() {\n\t\trawmeasurement, err := dec.Measurement()\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\t// Needs to be copied because another call to dec.* would\n\t\t// invalidate the returned slice.\n\t\tst.metricBuf = append(st.metricBuf[:0], rawmeasurement...)\n\n\t\t// The go compiler optimizes map[string(byteslice)] lookups:\n\t\tmetric.MetricConfig, ok = ms.Metrics[string(rawmeasurement)]\n\t\tif !ok {\n\t\t\tcontinue\n\t\t}\n\n\t\tst.typeBuf, st.subTypeBuf = st.typeBuf[:0], st.subTypeBuf[:0]\n\t\tcluster, host := clusterDefault, \"\"\n\t\tfor {\n\t\t\tkey, val, err := dec.NextTag()\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tif key == nil {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\t// The go compiler optimizes string([]byte{...}) == \"...\":\n\t\t\tswitch string(key) {\n\t\t\tcase \"cluster\":\n\t\t\t\tif string(val) == prevCluster {\n\t\t\t\t\tcluster = prevCluster\n\t\t\t\t} else {\n\t\t\t\t\tcluster = string(val)\n\t\t\t\t\tlvl = nil\n\t\t\t\t}\n\t\t\tcase \"hostname\", \"host\":\n\t\t\t\tif string(val) == prevHost {\n\t\t\t\t\thost = prevHost\n\t\t\t\t} else {\n\t\t\t\t\thost = string(val)\n\t\t\t\t\tlvl = nil\n\t\t\t\t}\n\t\t\tcase \"type\":\n\t\t\t\tif string(val) == \"node\" {\n\t\t\t\t\tbreak\n\t\t\t\t}\n\n\t\t\t\t// We cannot be sure that the \"type\" tag comes before the \"type-id\" tag:\n\t\t\t\tif len(st.typeBuf) == 0 {\n\t\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n\t\t\t\t} else {\n\t\t\t\t\tst.typeBuf = reorder(st.typeBuf, val)\n\t\t\t\t}\n\t\t\tcase \"type-id\":\n\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n\t\t\tcase \"subtype\":\n\t\t\t\t// We cannot be sure that the \"subtype\" tag comes before the \"stype-id\" tag:\n\t\t\t\tif len(st.subTypeBuf) == 0 {\n\t\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n\t\t\t\t} else {\n\t\t\t\t\tst.subTypeBuf = reorder(st.subTypeBuf, val)\n\t\t\t\t}\n\t\t\tcase \"stype-id\":\n\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n\t\t\tdefault:\n\t\t\t}\n\t\t}\n\n\t\t// If the cluster or host changed, the lvl was set to nil\n\t\tif lvl == nil {\n\t\t\tst.selector = st.selector[:2]\n\t\t\tst.selector[0], st.selector[1] = cluster, host\n\t\t\tlvl = ms.GetLevel(st.selector)\n\t\t\tprevCluster, prevHost = cluster, host\n\t\t}\n\n\t\t// subtypes: cache []byte→string conversions; messages in a batch typically\n\t\t// share the same type/subtype so the hit rate is very high.\n\t\tst.selector = st.selector[:0]\n\t\tif len(st.typeBuf) > 0 {\n\t\t\tif !bytes.Equal(st.typeBuf, st.prevTypeBytes) {\n\t\t\t\tst.prevTypeBytes = append(st.prevTypeBytes[:0], st.typeBuf...)\n\t\t\t\tst.prevTypeStr = string(st.typeBuf)\n\t\t\t}\n\t\t\tst.selector = append(st.selector, st.prevTypeStr)\n\t\t\tif len(st.subTypeBuf) > 0 {\n\t\t\t\tif !bytes.Equal(st.subTypeBuf, st.prevSubTypeBytes) {\n\t\t\t\t\tst.prevSubTypeBytes = append(st.prevSubTypeBytes[:0], st.subTypeBuf...)\n\t\t\t\t\tst.prevSubTypeStr = string(st.subTypeBuf)\n\t\t\t\t}\n\t\t\t\tst.selector = append(st.selector, st.prevSubTypeStr)\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tkey, val, err := dec.NextField()\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tif key == nil {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\tif string(key) != \"value\" {\n\t\t\t\treturn fmt.Errorf(\"host %s: unknown field: '%s' (value: %#v)\", host, string(key), val)\n\t\t\t}\n\n\t\t\tif val.Kind() == lineprotocol.Float {\n\t\t\t\tmetric.Value = schema.Float(val.FloatV())\n\t\t\t} else if val.Kind() == lineprotocol.Int {\n\t\t\t\tmetric.Value = schema.Float(val.IntV())\n\t\t\t} else if val.Kind() == lineprotocol.Uint {\n\t\t\t\tmetric.Value = schema.Float(val.UintV())\n\t\t\t} else {\n\t\t\t\treturn fmt.Errorf(\"host %s: unsupported value type in message: %s\", host, val.Kind().String())\n\t\t\t}\n\t\t}\n\n\t\tif t, err = dec.Time(lineprotocol.Second, t); err != nil {\n\t\t\tt = time.Now()\n\t\t\tif t, err = dec.Time(lineprotocol.Millisecond, t); err != nil {\n\t\t\t\tt = time.Now()\n\t\t\t\tif t, err = dec.Time(lineprotocol.Microsecond, t); err != nil {\n\t\t\t\t\tt = time.Now()\n\t\t\t\t\tif t, err = dec.Time(lineprotocol.Nanosecond, t); err != nil {\n\t\t\t\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n\t\t}\n\n\t\ttime := t.Unix()\n\n\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\t\tWALMessages <- &WALMessage{\n\t\t\t\tMetricName: string(st.metricBuf),\n\t\t\t\tCluster:    cluster,\n\t\t\t\tNode:       host,\n\t\t\t\tSelector:   append([]string{}, st.selector...),\n\t\t\t\tValue:      metric.Value,\n\t\t\t\tTimestamp:  time,\n\t\t\t}\n\t\t}\n\n\t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n\t\t\tcclog.Warnf(\"write error for host %s metric %s at ts %d: %s\", host, string(st.metricBuf), time, err.Error())\n\t\t\tcontinue\n\t\t}\n\t}\n\treturn nil\n}\n","structuredPatch":[{"oldStart":53,"oldLines":7,"newStart":53,"newLines":7,"lines":["   }"," ","   var wg sync.WaitGroup","-  msgs := make(chan []byte, workers*2)","+  msgs := make(chan []byte, max(workers*256, 8192))"," ","   for _, sc := range *Keys.Subscriptions {","     clusterTag := sc.ClusterTag"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"269a0d44-4f5e-4d63-b429-44d1a6cbf1e4","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5eb20a94-f8df-4979-a0ae-2aa99bfad884","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"parentUuid":"0e36fdaf-16c7-4e4d-8e3e-91e98e360c47","isSidechain":false,"promptId":"6e6c2140-4cee-4dea-b053-88ef3746e514","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HWpPdk7eLy7nAQf4mhwvo9","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go has been updated successfully."}]},"uuid":"3b8c8fe1-4401-48a1-b95e-c5a6deb6aeed","timestamp":"2026-03-18T05:09:19.967Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","oldString":"var WALMessages = make(chan *WALMessage, 4096)","newString":"var WALMessages = make(chan *WALMessage, 65536)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n//\n// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n// per host, eliminating the extra memory overhead of the AvroStore and providing\n// truly continuous (per-write) crash safety.\n//\n// # Architecture\n//\n//\tMetric write (DecodeLine)\n//\t      │\n//\t      ├─► WriteToLevel()    → main MemoryStore (unchanged)\n//\t      │\n//\t      └─► WALMessages channel\n//\t               │\n//\t               ▼\n//\t        WALStaging goroutine\n//\t               │\n//\t               ▼\n//\t        checkpoints/cluster/host/current.wal  (append-only, binary)\n//\n//\tPeriodic checkpoint (Checkpointing goroutine):\n//\t  1. Write <timestamp>.bin snapshot (column-oriented, from main tree)\n//\t  2. Signal WALStaging to truncate current.wal per host\n//\n//\tOn restart (FromCheckpoint):\n//\t  1. Load most recent <timestamp>.bin snapshot\n//\t  2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n//\n// # WAL Record Format\n//\n//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n//\n//\tpayload:\n//\t  [8B timestamp int64]\n//\t  [2B metric_name_len uint16][N metric name bytes]\n//\t  [1B selector_count uint8]\n//\t  per selector: [1B selector_len uint8][M selector bytes]\n//\t  [4B value float32 bits]\n//\n// # Binary Snapshot Format\n//\n//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n//\tLevel tree (recursive):\n//\t  [4B num_metrics uint32]\n//\t  per metric:\n//\t    [2B name_len uint16][N name bytes]\n//\t    [8B frequency int64][8B start int64]\n//\t    [4B num_values uint32][num_values × 4B float32]\n//\t  [4B num_children uint32]\n//\t  per child: [2B name_len uint16][N name bytes] + Level (recursive)\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/binary\"\n\t\"fmt\"\n\t\"hash/crc32\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"path\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Magic numbers for binary formats.\nconst (\n\twalFileMagic   = uint32(0xCC1DA701) // WAL file header magic\n\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n\tsnapFileMagic  = uint32(0xCC5B0001) // Binary snapshot magic\n)\n\n// WALMessages is the channel for sending metric writes to the WAL staging goroutine.\n// Buffered to allow burst writes without blocking the metric ingestion path.\nvar WALMessages = make(chan *WALMessage, 4096)\n\n// walRotateCh is used by the checkpoint goroutine to request WAL file rotation\n// (close, delete, reopen) after a binary snapshot has been written.\nvar walRotateCh = make(chan walRotateReq, 256)\n\n// WALMessage represents a single metric write to be appended to the WAL.\n// Cluster and Node are NOT stored in the WAL record (inferred from file path).\ntype WALMessage struct {\n\tMetricName string\n\tCluster    string\n\tNode       string\n\tSelector   []string\n\tValue      schema.Float\n\tTimestamp  int64\n}\n\n// walRotateReq requests WAL file rotation for a specific host directory.\n// The done channel is closed by the WAL goroutine when rotation is complete.\ntype walRotateReq struct {\n\thostDir string\n\tdone    chan struct{}\n}\n\n// walFileState holds an open WAL file handle and buffered writer for one host directory.\ntype walFileState struct {\n\tf *os.File\n\tw *bufio.Writer\n}\n\n// WALStaging starts a background goroutine that receives WALMessage items\n// and appends binary WAL records to per-host current.wal files.\n// Also handles WAL rotation requests from the checkpoint goroutine.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\twg.Go(func() {\n\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\t\treturn\n\t\t}\n\n\t\thostFiles := make(map[string]*walFileState)\n\n\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\n\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\tw := bufio.NewWriter(f)\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tws = &walFileState{f: f, w: w}\n\t\t\thostFiles[hostDir] = ws\n\t\t\treturn ws\n\t\t}\n\n\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tws := getOrOpenWAL(hostDir)\n\t\t\tif ws == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}\n\n\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.w.Flush()\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}\n\n\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\t// Flush all buffered writers after draining remaining messages.\n\t\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFiles(hostDirs []string) {\n\tdones := make([]chan struct{}, len(hostDirs))\n\tfor i, dir := range hostDirs {\n\t\tdones[i] = make(chan struct{})\n\t\twalRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}\n\t}\n\tfor _, done := range dones {\n\t\t<-done\n\t}\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFilesAfterShutdown(hostDirs []string) {\n\tfor _, dir := range hostDirs {\n\t\twalPath := path.Join(dir, \"current.wal\")\n\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t}\n\t}\n}\n\n// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\nfunc buildWALPayload(msg *WALMessage) []byte {\n\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n\tfor _, s := range msg.Selector {\n\t\tsize += 1 + len(s)\n\t}\n\n\tbuf := make([]byte, 0, size)\n\n\t// Timestamp (8 bytes, little-endian int64)\n\tvar ts [8]byte\n\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n\tbuf = append(buf, ts[:]...)\n\n\t// Metric name (2-byte length prefix + bytes)\n\tvar mLen [2]byte\n\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n\tbuf = append(buf, mLen[:]...)\n\tbuf = append(buf, msg.MetricName...)\n\n\t// Selector count (1 byte)\n\tbuf = append(buf, byte(len(msg.Selector)))\n\n\t// Selectors (1-byte length prefix + bytes each)\n\tfor _, sel := range msg.Selector {\n\t\tbuf = append(buf, byte(len(sel)))\n\t\tbuf = append(buf, sel...)\n\t}\n\n\t// Value (4 bytes, float32 bit representation)\n\tvar val [4]byte\n\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n\tbuf = append(buf, val[:]...)\n\n\treturn buf\n}\n\n// writeWALRecord appends a binary WAL record to the writer.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(w io.Writer, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := w.Write(record)\n\treturn err\n}\n\n// readWALRecord reads one WAL record from the reader.\n// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n// A CRC mismatch indicates a truncated trailing record (expected on crash).\nfunc readWALRecord(r io.Reader) (*WALMessage, error) {\n\tvar magic uint32\n\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil, nil // Clean EOF\n\t\t}\n\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n\t}\n\n\tif magic != walRecordMagic {\n\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n\t}\n\n\tvar payloadLen uint32\n\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n\t}\n\n\tif payloadLen > 1<<20 { // 1 MB sanity limit\n\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n\t}\n\n\tpayload := make([]byte, payloadLen)\n\tif _, err := io.ReadFull(r, payload); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n\t}\n\n\tvar storedCRC uint32\n\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n\t}\n\n\tif crc32.ChecksumIEEE(payload) != storedCRC {\n\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n\t}\n\n\treturn parseWALPayload(payload)\n}\n\n// parseWALPayload decodes a binary payload into a WALMessage.\nfunc parseWALPayload(payload []byte) (*WALMessage, error) {\n\tif len(payload) < 8+2+1+4 {\n\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n\t}\n\n\toffset := 0\n\n\t// Timestamp (8 bytes)\n\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n\toffset += 8\n\n\t// Metric name (2-byte length + bytes)\n\tif offset+2 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n\t}\n\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n\toffset += 2\n\n\tif offset+mLen > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n\t}\n\tmetricName := string(payload[offset : offset+mLen])\n\toffset += mLen\n\n\t// Selector count (1 byte)\n\tif offset >= len(payload) {\n\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n\t}\n\tselCount := int(payload[offset])\n\toffset++\n\n\tselectors := make([]string, selCount)\n\tfor i := range selCount {\n\t\tif offset >= len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n\t\t}\n\t\tsLen := int(payload[offset])\n\t\toffset++\n\n\t\tif offset+sLen > len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n\t\t}\n\t\tselectors[i] = string(payload[offset : offset+sLen])\n\t\toffset += sLen\n\t}\n\n\t// Value (4 bytes, float32 bits)\n\tif offset+4 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n\t}\n\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n\tvalue := schema.Float(math.Float32frombits(bits))\n\n\treturn &WALMessage{\n\t\tMetricName: metricName,\n\t\tTimestamp:  ts,\n\t\tSelector:   selectors,\n\t\tValue:      value,\n\t}, nil\n}\n\n// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n// l is the host-level node. Corrupt or partial trailing records are silently skipped\n// (expected on crash). Records older than 'from' are skipped.\nfunc (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\t// Verify file header magic.\n\tvar fileMagic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil // Empty file, no data\n\t\t}\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n\t}\n\n\tif fileMagic != walFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n\t}\n\n\t// Cache level lookups to avoid repeated tree traversal.\n\tlvlCache := make(map[string]*Level)\n\n\tfor {\n\t\tmsg, err := readWALRecord(br)\n\t\tif err != nil {\n\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n\t\t\tbreak\n\t\t}\n\t\tif msg == nil {\n\t\t\tbreak // Clean EOF\n\t\t}\n\n\t\tif msg.Timestamp < from {\n\t\t\tcontinue // Older than retention window\n\t\t}\n\n\t\tminfo, ok := m.Metrics[msg.MetricName]\n\t\tif !ok {\n\t\t\tcontinue // Unknown metric (config may have changed)\n\t\t}\n\n\t\t// Cache key is the null-separated selector path.\n\t\tcacheKey := joinSelector(msg.Selector)\n\t\tlvl, ok := lvlCache[cacheKey]\n\t\tif !ok {\n\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n\t\t\tlvlCache[cacheKey] = lvl\n\t\t}\n\n\t\t// Write directly to the buffer, same as WriteToLevel but without the\n\t\t// global level lookup (we already have the right level).\n\t\tlvl.lock.Lock()\n\t\tb := lvl.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n\t\t\tlvl.metrics[minfo.offset] = b\n\t\t}\n\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n\t\tif writeErr == nil && b != nb {\n\t\t\tlvl.metrics[minfo.offset] = nb\n\t\t}\n\t\t// Ignore write errors for timestamps before buffer start (can happen when\n\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n\t\tlvl.lock.Unlock()\n\t}\n\n\treturn nil\n}\n\n// joinSelector builds a cache key from a selector slice using null bytes as separators.\nfunc joinSelector(sel []string) string {\n\tif len(sel) == 0 {\n\t\treturn \"\"\n\t}\n\tvar result strings.Builder\n\tresult.WriteString(sel[0])\n\tfor i := 1; i < len(sel); i++ {\n\t\tresult.WriteString(\"\\x00\" + sel[i])\n\t}\n\treturn result.String()\n}\n\n// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n// Returns the number of files written, the list of host directories that were\n// successfully checkpointed (for WAL rotation), and any errors.\nfunc (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n\t// Collect all cluster/host pairs.\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel    *Level\n\t\thostDir  string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\tvar successDirs []string\n\tvar successMu sync.Mutex\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\n\tfor range Keys.NumWorkers {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor wi := range work {\n\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n\t\t\t\tif err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\tsuccessMu.Lock()\n\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n\t\t\t\t\tsuccessMu.Unlock()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := range levels {\n\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel:    levels[i],\n\t\t\thostDir:  hostDir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n\t}\n\treturn int(n), successDirs, nil\n}\n\n// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\nfunc (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n\t}\n\n\t// Write to a temp file first, then rename (atomic on POSIX).\n\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n\n\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n\t}\n\n\tbw := bufio.NewWriter(f)\n\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n\t}\n\tif err := bw.Flush(); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn err\n\t}\n\tf.Close()\n\n\treturn os.Rename(tmpPath, finalPath)\n}\n\n// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\nfunc writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n\t\treturn err\n\t}\n\treturn writeBinaryLevel(w, cf)\n}\n\n// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\nfunc writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, metric := range cf.Metrics {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tfor _, v := range metric.Data {\n\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, child := range cf.Children {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := writeBinaryLevel(w, child); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// writeString16 writes a 2-byte length-prefixed string to w.\nfunc writeString16(w io.Writer, s string) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n\t\treturn err\n\t}\n\t_, err := io.WriteString(w, s)\n\treturn err\n}\n\n// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n// The retention check (from) is applied to the file's 'to' timestamp.\nfunc (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\tvar magic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n\t}\n\tif magic != snapFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n\t}\n\n\tvar fileFrom, fileTo int64\n\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n\t}\n\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n\t}\n\n\tif fileTo != 0 && fileTo < from {\n\t\treturn nil // File is older than retention window, skip it\n\t}\n\n\tcf, err := readBinaryLevel(br)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n\t}\n\tcf.From = fileFrom\n\tcf.To = fileTo\n\n\treturn l.loadFile(cf, m)\n}\n\n// readBinaryLevel recursively reads a level from the binary snapshot format.\nfunc readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n\tcf := &CheckpointFile{\n\t\tMetrics:  make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tvar numMetrics uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n\t}\n\n\tfor range numMetrics {\n\t\tname, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n\t\t}\n\n\t\tvar freq, start int64\n\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n\t\t}\n\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n\t\t}\n\n\t\tvar numValues uint32\n\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n\t\t}\n\n\t\tdata := make([]schema.Float, numValues)\n\t\tfor i := range numValues {\n\t\t\tvar bits uint32\n\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n\t\t\t}\n\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n\t\t}\n\n\t\tcf.Metrics[name] = &CheckpointMetrics{\n\t\t\tFrequency: freq,\n\t\t\tStart:     start,\n\t\t\tData:      data,\n\t\t}\n\t}\n\n\tvar numChildren uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_children: %w\", err)\n\t}\n\n\tfor range numChildren {\n\t\tchildName, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child name: %w\", err)\n\t\t}\n\n\t\tchild, err := readBinaryLevel(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child %s: %w\", childName, err)\n\t\t}\n\t\tcf.Children[childName] = child\n\t}\n\n\treturn cf, nil\n}\n\n// readString16 reads a 2-byte length-prefixed string from r.\nfunc readString16(r io.Reader) (string, error) {\n\tvar sLen uint16\n\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {\n\t\treturn \"\", err\n\t}\n\tbuf := make([]byte, sLen)\n\tif _, err := io.ReadFull(r, buf); err != nil {\n\t\treturn \"\", err\n\t}\n\treturn string(buf), nil\n}\n","structuredPatch":[{"oldStart":82,"oldLines":7,"newStart":82,"newLines":7,"lines":[" "," // WALMessages is the channel for sending metric writes to the WAL staging goroutine."," // Buffered to allow burst writes without blocking the metric ingestion path.","-var WALMessages = make(chan *WALMessage, 4096)","+var WALMessages = make(chan *WALMessage, 65536)"," "," // walRotateCh is used by the checkpoint goroutine to request WAL file rotation"," // (close, delete, reopen) after a binary snapshot has been written."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"0e36fdaf-16c7-4e4d-8e3e-91e98e360c47","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5eb20a94-f8df-4979-a0ae-2aa99bfad884","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file implements ingestion of InfluxDB line-protocol metric data received\n// over NATS. Each line encodes one metric sample with the following structure:\n//\n//\t<measurement>[,cluster=<c>][,hostname=<h>][,type=<t>][,type-id=<id>][,subtype=<s>][,stype-id=<id>] value=<v> [<timestamp>]\n//\n// The measurement name identifies the metric (e.g. \"cpu_load\"). Tags provide\n// routing information (cluster, host) and optional sub-device selectors (type,\n// subtype). Only one field is expected per line: \"value\".\n//\n// After decoding, each sample is:\n//  1. Written to the in-memory store via ms.WriteToLevel.\n//  2. If the checkpoint format is \"wal\", also forwarded to the WAL staging\n//     goroutine via the WALMessages channel for durable write-ahead logging.\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// ReceiveNats subscribes to all configured NATS subjects and feeds incoming\n// line-protocol messages into the MemoryStore.\n//\n// When workers > 1 a pool of goroutines drains a shared channel so that\n// multiple messages can be decoded in parallel. With workers == 1 the NATS\n// callback decodes inline (no channel overhead, lower latency).\n//\n// The function blocks until ctx is cancelled and all worker goroutines have\n// finished. It returns nil when the NATS client is not configured; callers\n// should treat that as a no-op rather than an error.\nfunc ReceiveNats(ms *MemoryStore,\n\tworkers int,\n\tctx context.Context,\n) error {\n\tnc := nats.GetClient()\n\n\tif nc == nil {\n\t\tcclog.Warn(\"NATS client not initialized\")\n\t\treturn nil\n\t}\n\n\tvar wg sync.WaitGroup\n\tmsgs := make(chan []byte, max(workers*256, 8192))\n\n\tfor _, sc := range *Keys.Subscriptions {\n\t\tclusterTag := sc.ClusterTag\n\t\tif workers > 1 {\n\t\t\twg.Add(workers)\n\n\t\t\tfor range workers {\n\t\t\t\tgo func() {\n\t\t\t\t\tdefer wg.Done()\n\t\t\t\t\tfor m := range msgs {\n\t\t\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(m)\n\t\t\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}()\n\t\t\t}\n\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tselect {\n\t\t\t\tcase msgs <- data:\n\t\t\t\tcase <-ctx.Done():\n\t\t\t\t}\n\t\t\t})\n\t\t} else {\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(data)\n\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\t\tcclog.Infof(\"NATS subscription to '%s' established\", sc.SubscribeTo)\n\t}\n\n\tgo func() {\n\t\t<-ctx.Done()\n\t\tclose(msgs)\n\t}()\n\n\twg.Wait()\n\n\treturn nil\n}\n\n// reorder prepends prefix to buf in-place when buf has enough spare capacity,\n// avoiding an allocation. Falls back to a regular append otherwise.\n//\n// It is used to assemble the \"type<type-id>\" and \"subtype<stype-id>\" selector\n// strings when the type tag arrives before the type-id tag in the line, so the\n// two byte slices need to be concatenated in tag-declaration order regardless\n// of wire order.\nfunc reorder(buf, prefix []byte) []byte {\n\tn := len(prefix)\n\tm := len(buf)\n\tif cap(buf) < m+n {\n\t\treturn append(prefix[:n:n], buf...)\n\t} else {\n\t\tbuf = buf[:n+m]\n\t\tfor i := m - 1; i >= 0; i-- {\n\t\t\tbuf[i+n] = buf[i]\n\t\t}\n\t\tfor i := range n {\n\t\t\tbuf[i] = prefix[i]\n\t\t}\n\t\treturn buf\n\t}\n}\n\n// decodeState holds the per-call scratch buffers used by DecodeLine.\n// Instances are recycled via decodeStatePool to avoid repeated allocations\n// during high-throughput ingestion.\ntype decodeState struct {\n\t// metricBuf holds a copy of the current measurement name (line-protocol\n\t// measurement field). Copied because dec.Measurement() returns a slice\n\t// that is invalidated by the next decoder call.\n\tmetricBuf []byte\n\n\t// selector is the sub-device path passed to WriteToLevel and WALMessage\n\t// (e.g. [\"socket0\"] or [\"socket0\", \"memctrl1\"]). Reused across lines.\n\tselector []string\n\n\t// typeBuf accumulates the concatenated \"type\"+\"type-id\" tag value for the\n\t// current line. Reset at the start of each line's tag-decode loop.\n\ttypeBuf []byte\n\n\t// subTypeBuf accumulates the concatenated \"subtype\"+\"stype-id\" tag value.\n\t// Reset at the start of each line's tag-decode loop.\n\tsubTypeBuf []byte\n\n\t// prevTypeBytes / prevTypeStr cache the last seen typeBuf content and its\n\t// string conversion. Because consecutive lines in a batch typically address\n\t// the same sub-device, the cache hit rate is very high and avoids\n\t// repeated []byte→string allocations.\n\tprevTypeBytes []byte\n\tprevTypeStr   string\n\n\t// prevSubTypeBytes / prevSubTypeStr are the same cache for the subtype.\n\tprevSubTypeBytes []byte\n\tprevSubTypeStr   string\n}\n\n// decodeStatePool recycles decodeState values across DecodeLine calls to\n// reduce GC pressure during sustained metric ingestion.\nvar decodeStatePool = sync.Pool{\n\tNew: func() any {\n\t\treturn &decodeState{\n\t\t\tmetricBuf:  make([]byte, 0, 16),\n\t\t\tselector:   make([]string, 0, 4),\n\t\t\ttypeBuf:    make([]byte, 0, 16),\n\t\t\tsubTypeBuf: make([]byte, 0, 16),\n\t\t}\n\t},\n}\n\n// DecodeLine reads all lines from dec (InfluxDB line-protocol) and writes each\n// decoded metric sample into ms.\n//\n// clusterDefault is used as the cluster name for lines that do not carry a\n// \"cluster\" tag. Callers typically supply the ClusterTag value from the NATS\n// subscription configuration.\n//\n// Performance notes:\n//   - A decodeState is obtained from decodeStatePool to reuse scratch buffers.\n//   - The Level pointer (host-level node in the metric tree) is cached across\n//     consecutive lines that share the same cluster+host pair to avoid\n//     repeated lock acquisitions on the root and cluster levels.\n//   - []byte→string conversions for type/subtype selectors are cached via\n//     prevType*/prevSubType* fields because batches typically repeat the same\n//     sub-device identifiers.\n//   - Timestamp parsing tries Second precision first; if that fails it retries\n//     Millisecond, Microsecond, and Nanosecond in turn. A missing timestamp\n//     falls back to time.Now().\n//\n// When the checkpoint format is \"wal\" each successfully decoded sample is also\n// sent to WALMessages so the WAL staging goroutine can persist it durably\n// before the next binary snapshot.\nfunc DecodeLine(dec *lineprotocol.Decoder,\n\tms *MemoryStore,\n\tclusterDefault string,\n) error {\n\t// Reduce allocations in loop:\n\tt := time.Now()\n\tmetric := Metric{}\n\tst := decodeStatePool.Get().(*decodeState)\n\tdefer decodeStatePool.Put(st)\n\n\t// Optimize for the case where all lines in a \"batch\" are about the same\n\t// cluster and host. By using `WriteToLevel` (level = host), we do not need\n\t// to take the root- and cluster-level lock as often.\n\tvar lvl *Level = nil\n\tprevCluster, prevHost := \"\", \"\"\n\n\tvar ok bool\n\tfor dec.Next() {\n\t\trawmeasurement, err := dec.Measurement()\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\t// Needs to be copied because another call to dec.* would\n\t\t// invalidate the returned slice.\n\t\tst.metricBuf = append(st.metricBuf[:0], rawmeasurement...)\n\n\t\t// The go compiler optimizes map[string(byteslice)] lookups:\n\t\tmetric.MetricConfig, ok = ms.Metrics[string(rawmeasurement)]\n\t\tif !ok {\n\t\t\tcontinue\n\t\t}\n\n\t\tst.typeBuf, st.subTypeBuf = st.typeBuf[:0], st.subTypeBuf[:0]\n\t\tcluster, host := clusterDefault, \"\"\n\t\tfor {\n\t\t\tkey, val, err := dec.NextTag()\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tif key == nil {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\t// The go compiler optimizes string([]byte{...}) == \"...\":\n\t\t\tswitch string(key) {\n\t\t\tcase \"cluster\":\n\t\t\t\tif string(val) == prevCluster {\n\t\t\t\t\tcluster = prevCluster\n\t\t\t\t} else {\n\t\t\t\t\tcluster = string(val)\n\t\t\t\t\tlvl = nil\n\t\t\t\t}\n\t\t\tcase \"hostname\", \"host\":\n\t\t\t\tif string(val) == prevHost {\n\t\t\t\t\thost = prevHost\n\t\t\t\t} else {\n\t\t\t\t\thost = string(val)\n\t\t\t\t\tlvl = nil\n\t\t\t\t}\n\t\t\tcase \"type\":\n\t\t\t\tif string(val) == \"node\" {\n\t\t\t\t\tbreak\n\t\t\t\t}\n\n\t\t\t\t// We cannot be sure that the \"type\" tag comes before the \"type-id\" tag:\n\t\t\t\tif len(st.typeBuf) == 0 {\n\t\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n\t\t\t\t} else {\n\t\t\t\t\tst.typeBuf = reorder(st.typeBuf, val)\n\t\t\t\t}\n\t\t\tcase \"type-id\":\n\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n\t\t\tcase \"subtype\":\n\t\t\t\t// We cannot be sure that the \"subtype\" tag comes before the \"stype-id\" tag:\n\t\t\t\tif len(st.subTypeBuf) == 0 {\n\t\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n\t\t\t\t} else {\n\t\t\t\t\tst.subTypeBuf = reorder(st.subTypeBuf, val)\n\t\t\t\t}\n\t\t\tcase \"stype-id\":\n\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n\t\t\tdefault:\n\t\t\t}\n\t\t}\n\n\t\t// If the cluster or host changed, the lvl was set to nil\n\t\tif lvl == nil {\n\t\t\tst.selector = st.selector[:2]\n\t\t\tst.selector[0], st.selector[1] = cluster, host\n\t\t\tlvl = ms.GetLevel(st.selector)\n\t\t\tprevCluster, prevHost = cluster, host\n\t\t}\n\n\t\t// subtypes: cache []byte→string conversions; messages in a batch typically\n\t\t// share the same type/subtype so the hit rate is very high.\n\t\tst.selector = st.selector[:0]\n\t\tif len(st.typeBuf) > 0 {\n\t\t\tif !bytes.Equal(st.typeBuf, st.prevTypeBytes) {\n\t\t\t\tst.prevTypeBytes = append(st.prevTypeBytes[:0], st.typeBuf...)\n\t\t\t\tst.prevTypeStr = string(st.typeBuf)\n\t\t\t}\n\t\t\tst.selector = append(st.selector, st.prevTypeStr)\n\t\t\tif len(st.subTypeBuf) > 0 {\n\t\t\t\tif !bytes.Equal(st.subTypeBuf, st.prevSubTypeBytes) {\n\t\t\t\t\tst.prevSubTypeBytes = append(st.prevSubTypeBytes[:0], st.subTypeBuf...)\n\t\t\t\t\tst.prevSubTypeStr = string(st.subTypeBuf)\n\t\t\t\t}\n\t\t\t\tst.selector = append(st.selector, st.prevSubTypeStr)\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tkey, val, err := dec.NextField()\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tif key == nil {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\tif string(key) != \"value\" {\n\t\t\t\treturn fmt.Errorf(\"host %s: unknown field: '%s' (value: %#v)\", host, string(key), val)\n\t\t\t}\n\n\t\t\tif val.Kind() == lineprotocol.Float {\n\t\t\t\tmetric.Value = schema.Float(val.FloatV())\n\t\t\t} else if val.Kind() == lineprotocol.Int {\n\t\t\t\tmetric.Value = schema.Float(val.IntV())\n\t\t\t} else if val.Kind() == lineprotocol.Uint {\n\t\t\t\tmetric.Value = schema.Float(val.UintV())\n\t\t\t} else {\n\t\t\t\treturn fmt.Errorf(\"host %s: unsupported value type in message: %s\", host, val.Kind().String())\n\t\t\t}\n\t\t}\n\n\t\tif t, err = dec.Time(lineprotocol.Second, t); err != nil {\n\t\t\tt = time.Now()\n\t\t\tif t, err = dec.Time(lineprotocol.Millisecond, t); err != nil {\n\t\t\t\tt = time.Now()\n\t\t\t\tif t, err = dec.Time(lineprotocol.Microsecond, t); err != nil {\n\t\t\t\t\tt = time.Now()\n\t\t\t\t\tif t, err = dec.Time(lineprotocol.Nanosecond, t); err != nil {\n\t\t\t\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n\t\t}\n\n\t\ttime := t.Unix()\n\n\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\t\tWALMessages <- &WALMessage{\n\t\t\t\tMetricName: string(st.metricBuf),\n\t\t\t\tCluster:    cluster,\n\t\t\t\tNode:       host,\n\t\t\t\tSelector:   append([]string{}, st.selector...),\n\t\t\t\tValue:      metric.Value,\n\t\t\t\tTimestamp:  time,\n\t\t\t}\n\t\t}\n\n\t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n\t\t\tcclog.Warnf(\"write error for host %s metric %s at ts %d: %s\", host, string(st.metricBuf), time, err.Error())\n\t\t\tcontinue\n\t\t}\n\t}\n\treturn nil\n}\n","structuredPatch":[{"oldStart":23,"oldLines":6,"newStart":23,"newLines":7,"lines":["   \"context\"","   \"fmt\"","   \"sync\"","+  \"sync/atomic\"","   \"time\""," ","   cclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\""]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"126fb8cc-b920-4d0f-b9e3-9cdfec264905","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5eb20a94-f8df-4979-a0ae-2aa99bfad884","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file implements ingestion of InfluxDB line-protocol metric data received\n// over NATS. Each line encodes one metric sample with the following structure:\n//\n//\t<measurement>[,cluster=<c>][,hostname=<h>][,type=<t>][,type-id=<id>][,subtype=<s>][,stype-id=<id>] value=<v> [<timestamp>]\n//\n// The measurement name identifies the metric (e.g. \"cpu_load\"). Tags provide\n// routing information (cluster, host) and optional sub-device selectors (type,\n// subtype). Only one field is expected per line: \"value\".\n//\n// After decoding, each sample is:\n//  1. Written to the in-memory store via ms.WriteToLevel.\n//  2. If the checkpoint format is \"wal\", also forwarded to the WAL staging\n//     goroutine via the WALMessages channel for durable write-ahead logging.\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\t\"sync/atomic\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// ReceiveNats subscribes to all configured NATS subjects and feeds incoming\n// line-protocol messages into the MemoryStore.\n//\n// When workers > 1 a pool of goroutines drains a shared channel so that\n// multiple messages can be decoded in parallel. With workers == 1 the NATS\n// callback decodes inline (no channel overhead, lower latency).\n//\n// The function blocks until ctx is cancelled and all worker goroutines have\n// finished. It returns nil when the NATS client is not configured; callers\n// should treat that as a no-op rather than an error.\nfunc ReceiveNats(ms *MemoryStore,\n\tworkers int,\n\tctx context.Context,\n) error {\n\tnc := nats.GetClient()\n\n\tif nc == nil {\n\t\tcclog.Warn(\"NATS client not initialized\")\n\t\treturn nil\n\t}\n\n\tvar wg sync.WaitGroup\n\tmsgs := make(chan []byte, max(workers*256, 8192))\n\n\tfor _, sc := range *Keys.Subscriptions {\n\t\tclusterTag := sc.ClusterTag\n\t\tif workers > 1 {\n\t\t\twg.Add(workers)\n\n\t\t\tfor range workers {\n\t\t\t\tgo func() {\n\t\t\t\t\tdefer wg.Done()\n\t\t\t\t\tfor m := range msgs {\n\t\t\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(m)\n\t\t\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}()\n\t\t\t}\n\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tselect {\n\t\t\t\tcase msgs <- data:\n\t\t\t\tcase <-ctx.Done():\n\t\t\t\t}\n\t\t\t})\n\t\t} else {\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(data)\n\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\t\tcclog.Infof(\"NATS subscription to '%s' established\", sc.SubscribeTo)\n\t}\n\n\tgo func() {\n\t\t<-ctx.Done()\n\t\tclose(msgs)\n\t}()\n\n\twg.Wait()\n\n\treturn nil\n}\n\n// reorder prepends prefix to buf in-place when buf has enough spare capacity,\n// avoiding an allocation. Falls back to a regular append otherwise.\n//\n// It is used to assemble the \"type<type-id>\" and \"subtype<stype-id>\" selector\n// strings when the type tag arrives before the type-id tag in the line, so the\n// two byte slices need to be concatenated in tag-declaration order regardless\n// of wire order.\nfunc reorder(buf, prefix []byte) []byte {\n\tn := len(prefix)\n\tm := len(buf)\n\tif cap(buf) < m+n {\n\t\treturn append(prefix[:n:n], buf...)\n\t} else {\n\t\tbuf = buf[:n+m]\n\t\tfor i := m - 1; i >= 0; i-- {\n\t\t\tbuf[i+n] = buf[i]\n\t\t}\n\t\tfor i := range n {\n\t\t\tbuf[i] = prefix[i]\n\t\t}\n\t\treturn buf\n\t}\n}\n\n// decodeState holds the per-call scratch buffers used by DecodeLine.\n// Instances are recycled via decodeStatePool to avoid repeated allocations\n// during high-throughput ingestion.\ntype decodeState struct {\n\t// metricBuf holds a copy of the current measurement name (line-protocol\n\t// measurement field). Copied because dec.Measurement() returns a slice\n\t// that is invalidated by the next decoder call.\n\tmetricBuf []byte\n\n\t// selector is the sub-device path passed to WriteToLevel and WALMessage\n\t// (e.g. [\"socket0\"] or [\"socket0\", \"memctrl1\"]). Reused across lines.\n\tselector []string\n\n\t// typeBuf accumulates the concatenated \"type\"+\"type-id\" tag value for the\n\t// current line. Reset at the start of each line's tag-decode loop.\n\ttypeBuf []byte\n\n\t// subTypeBuf accumulates the concatenated \"subtype\"+\"stype-id\" tag value.\n\t// Reset at the start of each line's tag-decode loop.\n\tsubTypeBuf []byte\n\n\t// prevTypeBytes / prevTypeStr cache the last seen typeBuf content and its\n\t// string conversion. Because consecutive lines in a batch typically address\n\t// the same sub-device, the cache hit rate is very high and avoids\n\t// repeated []byte→string allocations.\n\tprevTypeBytes []byte\n\tprevTypeStr   string\n\n\t// prevSubTypeBytes / prevSubTypeStr are the same cache for the subtype.\n\tprevSubTypeBytes []byte\n\tprevSubTypeStr   string\n}\n\n// decodeStatePool recycles decodeState values across DecodeLine calls to\n// reduce GC pressure during sustained metric ingestion.\nvar decodeStatePool = sync.Pool{\n\tNew: func() any {\n\t\treturn &decodeState{\n\t\t\tmetricBuf:  make([]byte, 0, 16),\n\t\t\tselector:   make([]string, 0, 4),\n\t\t\ttypeBuf:    make([]byte, 0, 16),\n\t\t\tsubTypeBuf: make([]byte, 0, 16),\n\t\t}\n\t},\n}\n\n// DecodeLine reads all lines from dec (InfluxDB line-protocol) and writes each\n// decoded metric sample into ms.\n//\n// clusterDefault is used as the cluster name for lines that do not carry a\n// \"cluster\" tag. Callers typically supply the ClusterTag value from the NATS\n// subscription configuration.\n//\n// Performance notes:\n//   - A decodeState is obtained from decodeStatePool to reuse scratch buffers.\n//   - The Level pointer (host-level node in the metric tree) is cached across\n//     consecutive lines that share the same cluster+host pair to avoid\n//     repeated lock acquisitions on the root and cluster levels.\n//   - []byte→string conversions for type/subtype selectors are cached via\n//     prevType*/prevSubType* fields because batches typically repeat the same\n//     sub-device identifiers.\n//   - Timestamp parsing tries Second precision first; if that fails it retries\n//     Millisecond, Microsecond, and Nanosecond in turn. A missing timestamp\n//     falls back to time.Now().\n//\n// When the checkpoint format is \"wal\" each successfully decoded sample is also\n// sent to WALMessages so the WAL staging goroutine can persist it durably\n// before the next binary snapshot.\nfunc DecodeLine(dec *lineprotocol.Decoder,\n\tms *MemoryStore,\n\tclusterDefault string,\n) error {\n\t// Reduce allocations in loop:\n\tt := time.Now()\n\tmetric := Metric{}\n\tst := decodeStatePool.Get().(*decodeState)\n\tdefer decodeStatePool.Put(st)\n\n\t// Optimize for the case where all lines in a \"batch\" are about the same\n\t// cluster and host. By using `WriteToLevel` (level = host), we do not need\n\t// to take the root- and cluster-level lock as often.\n\tvar lvl *Level = nil\n\tprevCluster, prevHost := \"\", \"\"\n\n\tvar ok bool\n\tfor dec.Next() {\n\t\trawmeasurement, err := dec.Measurement()\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\t// Needs to be copied because another call to dec.* would\n\t\t// invalidate the returned slice.\n\t\tst.metricBuf = append(st.metricBuf[:0], rawmeasurement...)\n\n\t\t// The go compiler optimizes map[string(byteslice)] lookups:\n\t\tmetric.MetricConfig, ok = ms.Metrics[string(rawmeasurement)]\n\t\tif !ok {\n\t\t\tcontinue\n\t\t}\n\n\t\tst.typeBuf, st.subTypeBuf = st.typeBuf[:0], st.subTypeBuf[:0]\n\t\tcluster, host := clusterDefault, \"\"\n\t\tfor {\n\t\t\tkey, val, err := dec.NextTag()\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tif key == nil {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\t// The go compiler optimizes string([]byte{...}) == \"...\":\n\t\t\tswitch string(key) {\n\t\t\tcase \"cluster\":\n\t\t\t\tif string(val) == prevCluster {\n\t\t\t\t\tcluster = prevCluster\n\t\t\t\t} else {\n\t\t\t\t\tcluster = string(val)\n\t\t\t\t\tlvl = nil\n\t\t\t\t}\n\t\t\tcase \"hostname\", \"host\":\n\t\t\t\tif string(val) == prevHost {\n\t\t\t\t\thost = prevHost\n\t\t\t\t} else {\n\t\t\t\t\thost = string(val)\n\t\t\t\t\tlvl = nil\n\t\t\t\t}\n\t\t\tcase \"type\":\n\t\t\t\tif string(val) == \"node\" {\n\t\t\t\t\tbreak\n\t\t\t\t}\n\n\t\t\t\t// We cannot be sure that the \"type\" tag comes before the \"type-id\" tag:\n\t\t\t\tif len(st.typeBuf) == 0 {\n\t\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n\t\t\t\t} else {\n\t\t\t\t\tst.typeBuf = reorder(st.typeBuf, val)\n\t\t\t\t}\n\t\t\tcase \"type-id\":\n\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n\t\t\tcase \"subtype\":\n\t\t\t\t// We cannot be sure that the \"subtype\" tag comes before the \"stype-id\" tag:\n\t\t\t\tif len(st.subTypeBuf) == 0 {\n\t\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n\t\t\t\t} else {\n\t\t\t\t\tst.subTypeBuf = reorder(st.subTypeBuf, val)\n\t\t\t\t}\n\t\t\tcase \"stype-id\":\n\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n\t\t\tdefault:\n\t\t\t}\n\t\t}\n\n\t\t// If the cluster or host changed, the lvl was set to nil\n\t\tif lvl == nil {\n\t\t\tst.selector = st.selector[:2]\n\t\t\tst.selector[0], st.selector[1] = cluster, host\n\t\t\tlvl = ms.GetLevel(st.selector)\n\t\t\tprevCluster, prevHost = cluster, host\n\t\t}\n\n\t\t// subtypes: cache []byte→string conversions; messages in a batch typically\n\t\t// share the same type/subtype so the hit rate is very high.\n\t\tst.selector = st.selector[:0]\n\t\tif len(st.typeBuf) > 0 {\n\t\t\tif !bytes.Equal(st.typeBuf, st.prevTypeBytes) {\n\t\t\t\tst.prevTypeBytes = append(st.prevTypeBytes[:0], st.typeBuf...)\n\t\t\t\tst.prevTypeStr = string(st.typeBuf)\n\t\t\t}\n\t\t\tst.selector = append(st.selector, st.prevTypeStr)\n\t\t\tif len(st.subTypeBuf) > 0 {\n\t\t\t\tif !bytes.Equal(st.subTypeBuf, st.prevSubTypeBytes) {\n\t\t\t\t\tst.prevSubTypeBytes = append(st.prevSubTypeBytes[:0], st.subTypeBuf...)\n\t\t\t\t\tst.prevSubTypeStr = string(st.subTypeBuf)\n\t\t\t\t}\n\t\t\t\tst.selector = append(st.selector, st.prevSubTypeStr)\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tkey, val, err := dec.NextField()\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tif key == nil {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\tif string(key) != \"value\" {\n\t\t\t\treturn fmt.Errorf(\"host %s: unknown field: '%s' (value: %#v)\", host, string(key), val)\n\t\t\t}\n\n\t\t\tif val.Kind() == lineprotocol.Float {\n\t\t\t\tmetric.Value = schema.Float(val.FloatV())\n\t\t\t} else if val.Kind() == lineprotocol.Int {\n\t\t\t\tmetric.Value = schema.Float(val.IntV())\n\t\t\t} else if val.Kind() == lineprotocol.Uint {\n\t\t\t\tmetric.Value = schema.Float(val.UintV())\n\t\t\t} else {\n\t\t\t\treturn fmt.Errorf(\"host %s: unsupported value type in message: %s\", host, val.Kind().String())\n\t\t\t}\n\t\t}\n\n\t\tif t, err = dec.Time(lineprotocol.Second, t); err != nil {\n\t\t\tt = time.Now()\n\t\t\tif t, err = dec.Time(lineprotocol.Millisecond, t); err != nil {\n\t\t\t\tt = time.Now()\n\t\t\t\tif t, err = dec.Time(lineprotocol.Microsecond, t); err != nil {\n\t\t\t\t\tt = time.Now()\n\t\t\t\t\tif t, err = dec.Time(lineprotocol.Nanosecond, t); err != nil {\n\t\t\t\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n\t\t}\n\n\t\ttime := t.Unix()\n\n\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\t\tWALMessages <- &WALMessage{\n\t\t\t\tMetricName: string(st.metricBuf),\n\t\t\t\tCluster:    cluster,\n\t\t\t\tNode:       host,\n\t\t\t\tSelector:   append([]string{}, st.selector...),\n\t\t\t\tValue:      metric.Value,\n\t\t\t\tTimestamp:  time,\n\t\t\t}\n\t\t}\n\n\t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n\t\t\tcclog.Warnf(\"write error for host %s metric %s at ts %d: %s\", host, string(st.metricBuf), time, err.Error())\n\t\t\tcontinue\n\t\t}\n\t}\n\treturn nil\n}\n","structuredPatch":[{"oldStart":124,"oldLines":6,"newStart":124,"newLines":10,"lines":["   }"," }"," ","+// walDropped counts WAL messages dropped due to a full channel.","+// Logged periodically; not critical since binary snapshots capture the data.","+var walDropped atomic.Int64","+"," // decodeState holds the per-call scratch buffers used by DecodeLine."," // Instances are recycled via decodeStatePool to avoid repeated allocations"," // during high-throughput ingestion."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"a144f71e-4dce-4572-bed1-be30504a4e1b","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5eb20a94-f8df-4979-a0ae-2aa99bfad884","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"da2bcb75-2034-48c6-af5b-37e07512749c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01LsbEvEuhW5hJWn8NsSLF3m","type":"message","role":"assistant","content":[{"type":"text","text":"Now replace the blocking WAL send with non-blocking:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":347,"cache_read_input_tokens":51795,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":347},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ9y8v5QQqXvE1RUWAymU","type":"assistant","uuid":"268d9640-dd6b-4e08-8bea-e09b457a1bf9","timestamp":"2026-03-18T05:09:37.834Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5eb20a94-f8df-4979-a0ae-2aa99bfad884","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"268d9640-dd6b-4e08-8bea-e09b457a1bf9","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01LsbEvEuhW5hJWn8NsSLF3m","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KMJz45VrKGSrQXqBxd4prj","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/lineprotocol.go","old_string":"\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\t\tWALMessages <- &WALMessage{\n\t\t\t\tMetricName: string(st.metricBuf),\n\t\t\t\tCluster:    cluster,\n\t\t\t\tNode:       host,\n\t\t\t\tSelector:   append([]string{}, st.selector...),\n\t\t\t\tValue:      metric.Value,\n\t\t\t\tTimestamp:  time,\n\t\t\t}\n\t\t}","new_string":"\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\t\tmsg := &WALMessage{\n\t\t\t\tMetricName: string(st.metricBuf),\n\t\t\t\tCluster:    cluster,\n\t\t\t\tNode:       host,\n\t\t\t\tSelector:   append([]string{}, st.selector...),\n\t\t\t\tValue:      metric.Value,\n\t\t\t\tTimestamp:  time,\n\t\t\t}\n\t\t\tselect {\n\t\t\tcase WALMessages <- msg:\n\t\t\tdefault:\n\t\t\t\t// WAL channel full — metric is written to memory store but not WAL.\n\t\t\t\t// Next binary snapshot will capture it.\n\t\t\t\tif dropped := walDropped.Add(1); dropped%10000 == 1 {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> WAL channel full, dropped %d messages (data safe in memory, next snapshot will capture)\", dropped)\n\t\t\t\t}\n\t\t\t}\n\t\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":347,"cache_read_input_tokens":51795,"output_tokens":453,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":347,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ9y8v5QQqXvE1RUWAymU","type":"assistant","uuid":"2555135c-429a-4d7e-b758-db15bfe5ad87","timestamp":"2026-03-18T05:09:43.059Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5eb20a94-f8df-4979-a0ae-2aa99bfad884","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"2555135c-429a-4d7e-b758-db15bfe5ad87","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01KMJz45VrKGSrQXqBxd4prj","toolUseID":"toolu_01KMJz45VrKGSrQXqBxd4prj","timestamp":"2026-03-18T05:09:43.068Z","uuid":"b7942c1d-67e7-4539-9c0a-898fc17fdd3c","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5eb20a94-f8df-4979-a0ae-2aa99bfad884","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"2555135c-429a-4d7e-b758-db15bfe5ad87","isSidechain":false,"promptId":"6e6c2140-4cee-4dea-b053-88ef3746e514","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KMJz45VrKGSrQXqBxd4prj","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/lineprotocol.go has been updated successfully."}]},"uuid":"f7399cf1-bc1f-424e-9fc4-e0fbcff4f20b","timestamp":"2026-03-18T05:09:43.068Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/lineprotocol.go","oldString":"\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\t\tWALMessages <- &WALMessage{\n\t\t\t\tMetricName: string(st.metricBuf),\n\t\t\t\tCluster:    cluster,\n\t\t\t\tNode:       host,\n\t\t\t\tSelector:   append([]string{}, st.selector...),\n\t\t\t\tValue:      metric.Value,\n\t\t\t\tTimestamp:  time,\n\t\t\t}\n\t\t}","newString":"\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\t\tmsg := &WALMessage{\n\t\t\t\tMetricName: string(st.metricBuf),\n\t\t\t\tCluster:    cluster,\n\t\t\t\tNode:       host,\n\t\t\t\tSelector:   append([]string{}, st.selector...),\n\t\t\t\tValue:      metric.Value,\n\t\t\t\tTimestamp:  time,\n\t\t\t}\n\t\t\tselect {\n\t\t\tcase WALMessages <- msg:\n\t\t\tdefault:\n\t\t\t\t// WAL channel full — metric is written to memory store but not WAL.\n\t\t\t\t// Next binary snapshot will capture it.\n\t\t\t\tif dropped := walDropped.Add(1); dropped%10000 == 1 {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> WAL channel full, dropped %d messages (data safe in memory, next snapshot will capture)\", dropped)\n\t\t\t\t}\n\t\t\t}\n\t\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file implements ingestion of InfluxDB line-protocol metric data received\n// over NATS. Each line encodes one metric sample with the following structure:\n//\n//\t<measurement>[,cluster=<c>][,hostname=<h>][,type=<t>][,type-id=<id>][,subtype=<s>][,stype-id=<id>] value=<v> [<timestamp>]\n//\n// The measurement name identifies the metric (e.g. \"cpu_load\"). Tags provide\n// routing information (cluster, host) and optional sub-device selectors (type,\n// subtype). Only one field is expected per line: \"value\".\n//\n// After decoding, each sample is:\n//  1. Written to the in-memory store via ms.WriteToLevel.\n//  2. If the checkpoint format is \"wal\", also forwarded to the WAL staging\n//     goroutine via the WALMessages channel for durable write-ahead logging.\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\t\"sync/atomic\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// ReceiveNats subscribes to all configured NATS subjects and feeds incoming\n// line-protocol messages into the MemoryStore.\n//\n// When workers > 1 a pool of goroutines drains a shared channel so that\n// multiple messages can be decoded in parallel. With workers == 1 the NATS\n// callback decodes inline (no channel overhead, lower latency).\n//\n// The function blocks until ctx is cancelled and all worker goroutines have\n// finished. It returns nil when the NATS client is not configured; callers\n// should treat that as a no-op rather than an error.\nfunc ReceiveNats(ms *MemoryStore,\n\tworkers int,\n\tctx context.Context,\n) error {\n\tnc := nats.GetClient()\n\n\tif nc == nil {\n\t\tcclog.Warn(\"NATS client not initialized\")\n\t\treturn nil\n\t}\n\n\tvar wg sync.WaitGroup\n\tmsgs := make(chan []byte, max(workers*256, 8192))\n\n\tfor _, sc := range *Keys.Subscriptions {\n\t\tclusterTag := sc.ClusterTag\n\t\tif workers > 1 {\n\t\t\twg.Add(workers)\n\n\t\t\tfor range workers {\n\t\t\t\tgo func() {\n\t\t\t\t\tdefer wg.Done()\n\t\t\t\t\tfor m := range msgs {\n\t\t\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(m)\n\t\t\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}()\n\t\t\t}\n\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tselect {\n\t\t\t\tcase msgs <- data:\n\t\t\t\tcase <-ctx.Done():\n\t\t\t\t}\n\t\t\t})\n\t\t} else {\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(data)\n\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\t\tcclog.Infof(\"NATS subscription to '%s' established\", sc.SubscribeTo)\n\t}\n\n\tgo func() {\n\t\t<-ctx.Done()\n\t\tclose(msgs)\n\t}()\n\n\twg.Wait()\n\n\treturn nil\n}\n\n// reorder prepends prefix to buf in-place when buf has enough spare capacity,\n// avoiding an allocation. Falls back to a regular append otherwise.\n//\n// It is used to assemble the \"type<type-id>\" and \"subtype<stype-id>\" selector\n// strings when the type tag arrives before the type-id tag in the line, so the\n// two byte slices need to be concatenated in tag-declaration order regardless\n// of wire order.\nfunc reorder(buf, prefix []byte) []byte {\n\tn := len(prefix)\n\tm := len(buf)\n\tif cap(buf) < m+n {\n\t\treturn append(prefix[:n:n], buf...)\n\t} else {\n\t\tbuf = buf[:n+m]\n\t\tfor i := m - 1; i >= 0; i-- {\n\t\t\tbuf[i+n] = buf[i]\n\t\t}\n\t\tfor i := range n {\n\t\t\tbuf[i] = prefix[i]\n\t\t}\n\t\treturn buf\n\t}\n}\n\n// walDropped counts WAL messages dropped due to a full channel.\n// Logged periodically; not critical since binary snapshots capture the data.\nvar walDropped atomic.Int64\n\n// decodeState holds the per-call scratch buffers used by DecodeLine.\n// Instances are recycled via decodeStatePool to avoid repeated allocations\n// during high-throughput ingestion.\ntype decodeState struct {\n\t// metricBuf holds a copy of the current measurement name (line-protocol\n\t// measurement field). Copied because dec.Measurement() returns a slice\n\t// that is invalidated by the next decoder call.\n\tmetricBuf []byte\n\n\t// selector is the sub-device path passed to WriteToLevel and WALMessage\n\t// (e.g. [\"socket0\"] or [\"socket0\", \"memctrl1\"]). Reused across lines.\n\tselector []string\n\n\t// typeBuf accumulates the concatenated \"type\"+\"type-id\" tag value for the\n\t// current line. Reset at the start of each line's tag-decode loop.\n\ttypeBuf []byte\n\n\t// subTypeBuf accumulates the concatenated \"subtype\"+\"stype-id\" tag value.\n\t// Reset at the start of each line's tag-decode loop.\n\tsubTypeBuf []byte\n\n\t// prevTypeBytes / prevTypeStr cache the last seen typeBuf content and its\n\t// string conversion. Because consecutive lines in a batch typically address\n\t// the same sub-device, the cache hit rate is very high and avoids\n\t// repeated []byte→string allocations.\n\tprevTypeBytes []byte\n\tprevTypeStr   string\n\n\t// prevSubTypeBytes / prevSubTypeStr are the same cache for the subtype.\n\tprevSubTypeBytes []byte\n\tprevSubTypeStr   string\n}\n\n// decodeStatePool recycles decodeState values across DecodeLine calls to\n// reduce GC pressure during sustained metric ingestion.\nvar decodeStatePool = sync.Pool{\n\tNew: func() any {\n\t\treturn &decodeState{\n\t\t\tmetricBuf:  make([]byte, 0, 16),\n\t\t\tselector:   make([]string, 0, 4),\n\t\t\ttypeBuf:    make([]byte, 0, 16),\n\t\t\tsubTypeBuf: make([]byte, 0, 16),\n\t\t}\n\t},\n}\n\n// DecodeLine reads all lines from dec (InfluxDB line-protocol) and writes each\n// decoded metric sample into ms.\n//\n// clusterDefault is used as the cluster name for lines that do not carry a\n// \"cluster\" tag. Callers typically supply the ClusterTag value from the NATS\n// subscription configuration.\n//\n// Performance notes:\n//   - A decodeState is obtained from decodeStatePool to reuse scratch buffers.\n//   - The Level pointer (host-level node in the metric tree) is cached across\n//     consecutive lines that share the same cluster+host pair to avoid\n//     repeated lock acquisitions on the root and cluster levels.\n//   - []byte→string conversions for type/subtype selectors are cached via\n//     prevType*/prevSubType* fields because batches typically repeat the same\n//     sub-device identifiers.\n//   - Timestamp parsing tries Second precision first; if that fails it retries\n//     Millisecond, Microsecond, and Nanosecond in turn. A missing timestamp\n//     falls back to time.Now().\n//\n// When the checkpoint format is \"wal\" each successfully decoded sample is also\n// sent to WALMessages so the WAL staging goroutine can persist it durably\n// before the next binary snapshot.\nfunc DecodeLine(dec *lineprotocol.Decoder,\n\tms *MemoryStore,\n\tclusterDefault string,\n) error {\n\t// Reduce allocations in loop:\n\tt := time.Now()\n\tmetric := Metric{}\n\tst := decodeStatePool.Get().(*decodeState)\n\tdefer decodeStatePool.Put(st)\n\n\t// Optimize for the case where all lines in a \"batch\" are about the same\n\t// cluster and host. By using `WriteToLevel` (level = host), we do not need\n\t// to take the root- and cluster-level lock as often.\n\tvar lvl *Level = nil\n\tprevCluster, prevHost := \"\", \"\"\n\n\tvar ok bool\n\tfor dec.Next() {\n\t\trawmeasurement, err := dec.Measurement()\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\t// Needs to be copied because another call to dec.* would\n\t\t// invalidate the returned slice.\n\t\tst.metricBuf = append(st.metricBuf[:0], rawmeasurement...)\n\n\t\t// The go compiler optimizes map[string(byteslice)] lookups:\n\t\tmetric.MetricConfig, ok = ms.Metrics[string(rawmeasurement)]\n\t\tif !ok {\n\t\t\tcontinue\n\t\t}\n\n\t\tst.typeBuf, st.subTypeBuf = st.typeBuf[:0], st.subTypeBuf[:0]\n\t\tcluster, host := clusterDefault, \"\"\n\t\tfor {\n\t\t\tkey, val, err := dec.NextTag()\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tif key == nil {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\t// The go compiler optimizes string([]byte{...}) == \"...\":\n\t\t\tswitch string(key) {\n\t\t\tcase \"cluster\":\n\t\t\t\tif string(val) == prevCluster {\n\t\t\t\t\tcluster = prevCluster\n\t\t\t\t} else {\n\t\t\t\t\tcluster = string(val)\n\t\t\t\t\tlvl = nil\n\t\t\t\t}\n\t\t\tcase \"hostname\", \"host\":\n\t\t\t\tif string(val) == prevHost {\n\t\t\t\t\thost = prevHost\n\t\t\t\t} else {\n\t\t\t\t\thost = string(val)\n\t\t\t\t\tlvl = nil\n\t\t\t\t}\n\t\t\tcase \"type\":\n\t\t\t\tif string(val) == \"node\" {\n\t\t\t\t\tbreak\n\t\t\t\t}\n\n\t\t\t\t// We cannot be sure that the \"type\" tag comes before the \"type-id\" tag:\n\t\t\t\tif len(st.typeBuf) == 0 {\n\t\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n\t\t\t\t} else {\n\t\t\t\t\tst.typeBuf = reorder(st.typeBuf, val)\n\t\t\t\t}\n\t\t\tcase \"type-id\":\n\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n\t\t\tcase \"subtype\":\n\t\t\t\t// We cannot be sure that the \"subtype\" tag comes before the \"stype-id\" tag:\n\t\t\t\tif len(st.subTypeBuf) == 0 {\n\t\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n\t\t\t\t} else {\n\t\t\t\t\tst.subTypeBuf = reorder(st.subTypeBuf, val)\n\t\t\t\t}\n\t\t\tcase \"stype-id\":\n\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n\t\t\tdefault:\n\t\t\t}\n\t\t}\n\n\t\t// If the cluster or host changed, the lvl was set to nil\n\t\tif lvl == nil {\n\t\t\tst.selector = st.selector[:2]\n\t\t\tst.selector[0], st.selector[1] = cluster, host\n\t\t\tlvl = ms.GetLevel(st.selector)\n\t\t\tprevCluster, prevHost = cluster, host\n\t\t}\n\n\t\t// subtypes: cache []byte→string conversions; messages in a batch typically\n\t\t// share the same type/subtype so the hit rate is very high.\n\t\tst.selector = st.selector[:0]\n\t\tif len(st.typeBuf) > 0 {\n\t\t\tif !bytes.Equal(st.typeBuf, st.prevTypeBytes) {\n\t\t\t\tst.prevTypeBytes = append(st.prevTypeBytes[:0], st.typeBuf...)\n\t\t\t\tst.prevTypeStr = string(st.typeBuf)\n\t\t\t}\n\t\t\tst.selector = append(st.selector, st.prevTypeStr)\n\t\t\tif len(st.subTypeBuf) > 0 {\n\t\t\t\tif !bytes.Equal(st.subTypeBuf, st.prevSubTypeBytes) {\n\t\t\t\t\tst.prevSubTypeBytes = append(st.prevSubTypeBytes[:0], st.subTypeBuf...)\n\t\t\t\t\tst.prevSubTypeStr = string(st.subTypeBuf)\n\t\t\t\t}\n\t\t\t\tst.selector = append(st.selector, st.prevSubTypeStr)\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tkey, val, err := dec.NextField()\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tif key == nil {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\tif string(key) != \"value\" {\n\t\t\t\treturn fmt.Errorf(\"host %s: unknown field: '%s' (value: %#v)\", host, string(key), val)\n\t\t\t}\n\n\t\t\tif val.Kind() == lineprotocol.Float {\n\t\t\t\tmetric.Value = schema.Float(val.FloatV())\n\t\t\t} else if val.Kind() == lineprotocol.Int {\n\t\t\t\tmetric.Value = schema.Float(val.IntV())\n\t\t\t} else if val.Kind() == lineprotocol.Uint {\n\t\t\t\tmetric.Value = schema.Float(val.UintV())\n\t\t\t} else {\n\t\t\t\treturn fmt.Errorf(\"host %s: unsupported value type in message: %s\", host, val.Kind().String())\n\t\t\t}\n\t\t}\n\n\t\tif t, err = dec.Time(lineprotocol.Second, t); err != nil {\n\t\t\tt = time.Now()\n\t\t\tif t, err = dec.Time(lineprotocol.Millisecond, t); err != nil {\n\t\t\t\tt = time.Now()\n\t\t\t\tif t, err = dec.Time(lineprotocol.Microsecond, t); err != nil {\n\t\t\t\t\tt = time.Now()\n\t\t\t\t\tif t, err = dec.Time(lineprotocol.Nanosecond, t); err != nil {\n\t\t\t\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n\t\t}\n\n\t\ttime := t.Unix()\n\n\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\t\tWALMessages <- &WALMessage{\n\t\t\t\tMetricName: string(st.metricBuf),\n\t\t\t\tCluster:    cluster,\n\t\t\t\tNode:       host,\n\t\t\t\tSelector:   append([]string{}, st.selector...),\n\t\t\t\tValue:      metric.Value,\n\t\t\t\tTimestamp:  time,\n\t\t\t}\n\t\t}\n\n\t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n\t\t\tcclog.Warnf(\"write error for host %s metric %s at ts %d: %s\", host, string(st.metricBuf), time, err.Error())\n\t\t\tcontinue\n\t\t}\n\t}\n\treturn nil\n}\n","structuredPatch":[{"oldStart":353,"oldLines":7,"newStart":353,"newLines":7,"lines":["     time := t.Unix()"," ","     if Keys.Checkpoints.FileFormat == \"wal\" {","-      WALMessages <- &WALMessage{","+      msg := &WALMessage{","         MetricName: string(st.metricBuf),","         Cluster:    cluster,","         Node:       host,"]},{"oldStart":361,"oldLines":6,"newStart":361,"newLines":15,"lines":["         Value:      metric.Value,","         Timestamp:  time,","       }","+      select {","+      case WALMessages <- msg:","+      default:","+        // WAL channel full — metric is written to memory store but not WAL.","+        // Next binary snapshot will capture it.","+        if dropped := walDropped.Add(1); dropped%10000 == 1 {","+          cclog.Warnf(\"[METRICSTORE]> WAL channel full, dropped %d messages (data safe in memory, next snapshot will capture)\", dropped)","+        }","+      }","     }"," ","     if err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"2555135c-429a-4d7e-b758-db15bfe5ad87","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5eb20a94-f8df-4979-a0ae-2aa99bfad884","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"parentUuid":"be1fc502-6259-4340-a838-25233a343f64","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01QGaPxFtvShofkVtHM9esHz","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VWzrTY53uRmUDrHYgv28TZ","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","old_string":"\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}","new_string":"\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\n\t\t\t\t// Drain up to 256 more messages without blocking to batch writes.\n\t\t\t\tfor range 256 {\n\t\t\t\t\tselect {\n\t\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\t\tif !ok {\n\t\t\t\t\t\t\treturn\n\t\t\t\t\t\t}\n\t\t\t\t\t\tprocessMsg(msg)\n\t\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\t\tprocessRotate(req)\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tgoto flushed\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\tflushed:\n\t\t\t\t// Flush all buffered writers after processing the batch.\n\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":571,"cache_read_input_tokens":52142,"output_tokens":480,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":571,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ9y9avW9jpyDY24wAhJH","type":"assistant","uuid":"dc2282bb-a59e-4924-8bd9-8ec3771a318f","timestamp":"2026-03-18T05:09:53.861Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5eb20a94-f8df-4979-a0ae-2aa99bfad884","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"dc2282bb-a59e-4924-8bd9-8ec3771a318f","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01VWzrTY53uRmUDrHYgv28TZ","toolUseID":"toolu_01VWzrTY53uRmUDrHYgv28TZ","timestamp":"2026-03-18T05:09:53.872Z","uuid":"d4aae964-7c89-42f7-bbdf-b09c37c09cc3","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5eb20a94-f8df-4979-a0ae-2aa99bfad884","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"dc2282bb-a59e-4924-8bd9-8ec3771a318f","isSidechain":false,"promptId":"6e6c2140-4cee-4dea-b053-88ef3746e514","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VWzrTY53uRmUDrHYgv28TZ","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go has been updated successfully."}]},"uuid":"0bb50aad-bae3-4297-bb66-e7f853d8063f","timestamp":"2026-03-18T05:09:53.871Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","oldString":"\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}","newString":"\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\n\t\t\t\t// Drain up to 256 more messages without blocking to batch writes.\n\t\t\t\tfor range 256 {\n\t\t\t\t\tselect {\n\t\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\t\tif !ok {\n\t\t\t\t\t\t\treturn\n\t\t\t\t\t\t}\n\t\t\t\t\t\tprocessMsg(msg)\n\t\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\t\tprocessRotate(req)\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tgoto flushed\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\tflushed:\n\t\t\t\t// Flush all buffered writers after processing the batch.\n\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n//\n// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n// per host, eliminating the extra memory overhead of the AvroStore and providing\n// truly continuous (per-write) crash safety.\n//\n// # Architecture\n//\n//\tMetric write (DecodeLine)\n//\t      │\n//\t      ├─► WriteToLevel()    → main MemoryStore (unchanged)\n//\t      │\n//\t      └─► WALMessages channel\n//\t               │\n//\t               ▼\n//\t        WALStaging goroutine\n//\t               │\n//\t               ▼\n//\t        checkpoints/cluster/host/current.wal  (append-only, binary)\n//\n//\tPeriodic checkpoint (Checkpointing goroutine):\n//\t  1. Write <timestamp>.bin snapshot (column-oriented, from main tree)\n//\t  2. Signal WALStaging to truncate current.wal per host\n//\n//\tOn restart (FromCheckpoint):\n//\t  1. Load most recent <timestamp>.bin snapshot\n//\t  2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n//\n// # WAL Record Format\n//\n//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n//\n//\tpayload:\n//\t  [8B timestamp int64]\n//\t  [2B metric_name_len uint16][N metric name bytes]\n//\t  [1B selector_count uint8]\n//\t  per selector: [1B selector_len uint8][M selector bytes]\n//\t  [4B value float32 bits]\n//\n// # Binary Snapshot Format\n//\n//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n//\tLevel tree (recursive):\n//\t  [4B num_metrics uint32]\n//\t  per metric:\n//\t    [2B name_len uint16][N name bytes]\n//\t    [8B frequency int64][8B start int64]\n//\t    [4B num_values uint32][num_values × 4B float32]\n//\t  [4B num_children uint32]\n//\t  per child: [2B name_len uint16][N name bytes] + Level (recursive)\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/binary\"\n\t\"fmt\"\n\t\"hash/crc32\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"path\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Magic numbers for binary formats.\nconst (\n\twalFileMagic   = uint32(0xCC1DA701) // WAL file header magic\n\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n\tsnapFileMagic  = uint32(0xCC5B0001) // Binary snapshot magic\n)\n\n// WALMessages is the channel for sending metric writes to the WAL staging goroutine.\n// Buffered to allow burst writes without blocking the metric ingestion path.\nvar WALMessages = make(chan *WALMessage, 65536)\n\n// walRotateCh is used by the checkpoint goroutine to request WAL file rotation\n// (close, delete, reopen) after a binary snapshot has been written.\nvar walRotateCh = make(chan walRotateReq, 256)\n\n// WALMessage represents a single metric write to be appended to the WAL.\n// Cluster and Node are NOT stored in the WAL record (inferred from file path).\ntype WALMessage struct {\n\tMetricName string\n\tCluster    string\n\tNode       string\n\tSelector   []string\n\tValue      schema.Float\n\tTimestamp  int64\n}\n\n// walRotateReq requests WAL file rotation for a specific host directory.\n// The done channel is closed by the WAL goroutine when rotation is complete.\ntype walRotateReq struct {\n\thostDir string\n\tdone    chan struct{}\n}\n\n// walFileState holds an open WAL file handle and buffered writer for one host directory.\ntype walFileState struct {\n\tf *os.File\n\tw *bufio.Writer\n}\n\n// WALStaging starts a background goroutine that receives WALMessage items\n// and appends binary WAL records to per-host current.wal files.\n// Also handles WAL rotation requests from the checkpoint goroutine.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\twg.Go(func() {\n\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\t\treturn\n\t\t}\n\n\t\thostFiles := make(map[string]*walFileState)\n\n\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\n\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\tw := bufio.NewWriter(f)\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tws = &walFileState{f: f, w: w}\n\t\t\thostFiles[hostDir] = ws\n\t\t\treturn ws\n\t\t}\n\n\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tws := getOrOpenWAL(hostDir)\n\t\t\tif ws == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}\n\n\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.w.Flush()\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}\n\n\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\t// Flush all buffered writers after draining remaining messages.\n\t\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFiles(hostDirs []string) {\n\tdones := make([]chan struct{}, len(hostDirs))\n\tfor i, dir := range hostDirs {\n\t\tdones[i] = make(chan struct{})\n\t\twalRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}\n\t}\n\tfor _, done := range dones {\n\t\t<-done\n\t}\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFilesAfterShutdown(hostDirs []string) {\n\tfor _, dir := range hostDirs {\n\t\twalPath := path.Join(dir, \"current.wal\")\n\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t}\n\t}\n}\n\n// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\nfunc buildWALPayload(msg *WALMessage) []byte {\n\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n\tfor _, s := range msg.Selector {\n\t\tsize += 1 + len(s)\n\t}\n\n\tbuf := make([]byte, 0, size)\n\n\t// Timestamp (8 bytes, little-endian int64)\n\tvar ts [8]byte\n\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n\tbuf = append(buf, ts[:]...)\n\n\t// Metric name (2-byte length prefix + bytes)\n\tvar mLen [2]byte\n\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n\tbuf = append(buf, mLen[:]...)\n\tbuf = append(buf, msg.MetricName...)\n\n\t// Selector count (1 byte)\n\tbuf = append(buf, byte(len(msg.Selector)))\n\n\t// Selectors (1-byte length prefix + bytes each)\n\tfor _, sel := range msg.Selector {\n\t\tbuf = append(buf, byte(len(sel)))\n\t\tbuf = append(buf, sel...)\n\t}\n\n\t// Value (4 bytes, float32 bit representation)\n\tvar val [4]byte\n\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n\tbuf = append(buf, val[:]...)\n\n\treturn buf\n}\n\n// writeWALRecord appends a binary WAL record to the writer.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(w io.Writer, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := w.Write(record)\n\treturn err\n}\n\n// readWALRecord reads one WAL record from the reader.\n// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n// A CRC mismatch indicates a truncated trailing record (expected on crash).\nfunc readWALRecord(r io.Reader) (*WALMessage, error) {\n\tvar magic uint32\n\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil, nil // Clean EOF\n\t\t}\n\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n\t}\n\n\tif magic != walRecordMagic {\n\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n\t}\n\n\tvar payloadLen uint32\n\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n\t}\n\n\tif payloadLen > 1<<20 { // 1 MB sanity limit\n\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n\t}\n\n\tpayload := make([]byte, payloadLen)\n\tif _, err := io.ReadFull(r, payload); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n\t}\n\n\tvar storedCRC uint32\n\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n\t}\n\n\tif crc32.ChecksumIEEE(payload) != storedCRC {\n\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n\t}\n\n\treturn parseWALPayload(payload)\n}\n\n// parseWALPayload decodes a binary payload into a WALMessage.\nfunc parseWALPayload(payload []byte) (*WALMessage, error) {\n\tif len(payload) < 8+2+1+4 {\n\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n\t}\n\n\toffset := 0\n\n\t// Timestamp (8 bytes)\n\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n\toffset += 8\n\n\t// Metric name (2-byte length + bytes)\n\tif offset+2 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n\t}\n\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n\toffset += 2\n\n\tif offset+mLen > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n\t}\n\tmetricName := string(payload[offset : offset+mLen])\n\toffset += mLen\n\n\t// Selector count (1 byte)\n\tif offset >= len(payload) {\n\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n\t}\n\tselCount := int(payload[offset])\n\toffset++\n\n\tselectors := make([]string, selCount)\n\tfor i := range selCount {\n\t\tif offset >= len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n\t\t}\n\t\tsLen := int(payload[offset])\n\t\toffset++\n\n\t\tif offset+sLen > len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n\t\t}\n\t\tselectors[i] = string(payload[offset : offset+sLen])\n\t\toffset += sLen\n\t}\n\n\t// Value (4 bytes, float32 bits)\n\tif offset+4 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n\t}\n\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n\tvalue := schema.Float(math.Float32frombits(bits))\n\n\treturn &WALMessage{\n\t\tMetricName: metricName,\n\t\tTimestamp:  ts,\n\t\tSelector:   selectors,\n\t\tValue:      value,\n\t}, nil\n}\n\n// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n// l is the host-level node. Corrupt or partial trailing records are silently skipped\n// (expected on crash). Records older than 'from' are skipped.\nfunc (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\t// Verify file header magic.\n\tvar fileMagic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil // Empty file, no data\n\t\t}\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n\t}\n\n\tif fileMagic != walFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n\t}\n\n\t// Cache level lookups to avoid repeated tree traversal.\n\tlvlCache := make(map[string]*Level)\n\n\tfor {\n\t\tmsg, err := readWALRecord(br)\n\t\tif err != nil {\n\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n\t\t\tbreak\n\t\t}\n\t\tif msg == nil {\n\t\t\tbreak // Clean EOF\n\t\t}\n\n\t\tif msg.Timestamp < from {\n\t\t\tcontinue // Older than retention window\n\t\t}\n\n\t\tminfo, ok := m.Metrics[msg.MetricName]\n\t\tif !ok {\n\t\t\tcontinue // Unknown metric (config may have changed)\n\t\t}\n\n\t\t// Cache key is the null-separated selector path.\n\t\tcacheKey := joinSelector(msg.Selector)\n\t\tlvl, ok := lvlCache[cacheKey]\n\t\tif !ok {\n\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n\t\t\tlvlCache[cacheKey] = lvl\n\t\t}\n\n\t\t// Write directly to the buffer, same as WriteToLevel but without the\n\t\t// global level lookup (we already have the right level).\n\t\tlvl.lock.Lock()\n\t\tb := lvl.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n\t\t\tlvl.metrics[minfo.offset] = b\n\t\t}\n\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n\t\tif writeErr == nil && b != nb {\n\t\t\tlvl.metrics[minfo.offset] = nb\n\t\t}\n\t\t// Ignore write errors for timestamps before buffer start (can happen when\n\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n\t\tlvl.lock.Unlock()\n\t}\n\n\treturn nil\n}\n\n// joinSelector builds a cache key from a selector slice using null bytes as separators.\nfunc joinSelector(sel []string) string {\n\tif len(sel) == 0 {\n\t\treturn \"\"\n\t}\n\tvar result strings.Builder\n\tresult.WriteString(sel[0])\n\tfor i := 1; i < len(sel); i++ {\n\t\tresult.WriteString(\"\\x00\" + sel[i])\n\t}\n\treturn result.String()\n}\n\n// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n// Returns the number of files written, the list of host directories that were\n// successfully checkpointed (for WAL rotation), and any errors.\nfunc (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n\t// Collect all cluster/host pairs.\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel    *Level\n\t\thostDir  string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\tvar successDirs []string\n\tvar successMu sync.Mutex\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\n\tfor range Keys.NumWorkers {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor wi := range work {\n\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n\t\t\t\tif err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\tsuccessMu.Lock()\n\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n\t\t\t\t\tsuccessMu.Unlock()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := range levels {\n\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel:    levels[i],\n\t\t\thostDir:  hostDir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n\t}\n\treturn int(n), successDirs, nil\n}\n\n// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\nfunc (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n\t}\n\n\t// Write to a temp file first, then rename (atomic on POSIX).\n\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n\n\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n\t}\n\n\tbw := bufio.NewWriter(f)\n\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n\t}\n\tif err := bw.Flush(); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn err\n\t}\n\tf.Close()\n\n\treturn os.Rename(tmpPath, finalPath)\n}\n\n// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\nfunc writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n\t\treturn err\n\t}\n\treturn writeBinaryLevel(w, cf)\n}\n\n// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\nfunc writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, metric := range cf.Metrics {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tfor _, v := range metric.Data {\n\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, child := range cf.Children {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := writeBinaryLevel(w, child); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// writeString16 writes a 2-byte length-prefixed string to w.\nfunc writeString16(w io.Writer, s string) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n\t\treturn err\n\t}\n\t_, err := io.WriteString(w, s)\n\treturn err\n}\n\n// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n// The retention check (from) is applied to the file's 'to' timestamp.\nfunc (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\tvar magic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n\t}\n\tif magic != snapFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n\t}\n\n\tvar fileFrom, fileTo int64\n\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n\t}\n\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n\t}\n\n\tif fileTo != 0 && fileTo < from {\n\t\treturn nil // File is older than retention window, skip it\n\t}\n\n\tcf, err := readBinaryLevel(br)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n\t}\n\tcf.From = fileFrom\n\tcf.To = fileTo\n\n\treturn l.loadFile(cf, m)\n}\n\n// readBinaryLevel recursively reads a level from the binary snapshot format.\nfunc readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n\tcf := &CheckpointFile{\n\t\tMetrics:  make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tvar numMetrics uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n\t}\n\n\tfor range numMetrics {\n\t\tname, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n\t\t}\n\n\t\tvar freq, start int64\n\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n\t\t}\n\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n\t\t}\n\n\t\tvar numValues uint32\n\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n\t\t}\n\n\t\tdata := make([]schema.Float, numValues)\n\t\tfor i := range numValues {\n\t\t\tvar bits uint32\n\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n\t\t\t}\n\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n\t\t}\n\n\t\tcf.Metrics[name] = &CheckpointMetrics{\n\t\t\tFrequency: freq,\n\t\t\tStart:     start,\n\t\t\tData:      data,\n\t\t}\n\t}\n\n\tvar numChildren uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_children: %w\", err)\n\t}\n\n\tfor range numChildren {\n\t\tchildName, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child name: %w\", err)\n\t\t}\n\n\t\tchild, err := readBinaryLevel(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child %s: %w\", childName, err)\n\t\t}\n\t\tcf.Children[childName] = child\n\t}\n\n\treturn cf, nil\n}\n\n// readString16 reads a 2-byte length-prefixed string from r.\nfunc readString16(r io.Reader) (string, error) {\n\tvar sLen uint16\n\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {\n\t\treturn \"\", err\n\t}\n\tbuf := make([]byte, sLen)\n\tif _, err := io.ReadFull(r, buf); err != nil {\n\t\treturn \"\", err\n\t}\n\treturn string(buf), nil\n}\n","structuredPatch":[{"oldStart":226,"oldLines":6,"newStart":226,"newLines":28,"lines":["           return","         }","         processMsg(msg)","+","+        // Drain up to 256 more messages without blocking to batch writes.","+        for range 256 {","+          select {","+          case msg, ok := <-WALMessages:","+            if !ok {","+              return","+            }","+            processMsg(msg)","+          case req := <-walRotateCh:","+            processRotate(req)","+          default:","+            goto flushed","+          }","+        }","+      flushed:","+        // Flush all buffered writers after processing the batch.","+        for _, ws := range hostFiles {","+          if ws.f != nil {","+            ws.w.Flush()","+          }","+        }","       case req := <-walRotateCh:","         processRotate(req)","       }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"dc2282bb-a59e-4924-8bd9-8ec3771a318f","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5eb20a94-f8df-4979-a0ae-2aa99bfad884","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"parentUuid":"d584cb3c-728b-4f6c-83c9-f9f5e3c28cb6","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_014C3W3gjCbq2LFgAoX29pz1","type":"message","role":"assistant","content":[{"type":"text","text":"All compiles and tests pass. Here's a summary of the four changes:\n\n### Changes made\n\n1. **`metricstore.go:187`** — Changed `ReceiveNats(ms, 1, ctx)` to `ReceiveNats(ms, Keys.NumWorkers, ctx)`. This parallelizes `DecodeLine()` across multiple goroutines instead of running it inline in the NATS callback.\n\n2. **`lineprotocol.go:56`** — Increased the `msgs` channel buffer from `workers*2` to `max(workers*256, 8192)`. This decouples the NATS callback from the decode workers with a much larger buffer.\n\n3. **`lineprotocol.go:353-368`** — Made the WAL channel send non-blocking with `select/default`. Dropped messages are counted via an atomic counter and logged every 10,000 drops. Since the in-memory write succeeds first, dropped WAL messages are recovered by the next binary snapshot.\n\n4. **`walCheckpoint.go:219-247`** — Added batch drain loop in `WALStaging`: after processing one message, it drains up to 256 more without blocking, then flushes all buffered writers. This reduces `select` overhead and batches I/O.\n\n5. **`walCheckpoint.go:85`** — Increased WAL channel buffer from 4,096 to 65,536 for more burst headroom."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":143,"cache_read_input_tokens":53472,"output_tokens":342,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":143,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ9yBbbjs9fuLtVTfpLLM","type":"assistant","uuid":"d74329ff-67f4-443c-bc69-bcc41feeb8e5","timestamp":"2026-03-18T05:10:20.370Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5eb20a94-f8df-4979-a0ae-2aa99bfad884","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"type":"file-history-snapshot","messageId":"55cac468-7db6-44ab-a740-f6de61080fce","snapshot":{"messageId":"55cac468-7db6-44ab-a740-f6de61080fce","trackedFileBackups":{"pkg/metricstore/metricstore.go":{"backupFileName":"9d6c8b589b687438@v2","version":2,"backupTime":"2026-03-18T05:11:40.599Z"},"pkg/metricstore/lineprotocol.go":{"backupFileName":"90dc6599471442f6@v2","version":2,"backupTime":"2026-03-18T05:11:40.599Z"},"pkg/metricstore/walCheckpoint.go":{"backupFileName":"f5b5b4bac0274f50@v2","version":2,"backupTime":"2026-03-18T05:11:40.599Z"}},"timestamp":"2026-03-18T05:11:40.598Z"},"isSnapshotUpdate":false}
+{"parentUuid":"67f623a1-88a6-4b40-92c2-9c9b93d8d0ed","isSidechain":false,"promptId":"7fcb2439-dc17-41be-9fe8-b2528689e6af","type":"user","message":{"role":"user","content":"Does a similar problem occur on the metricstore REST API path?"},"uuid":"55cac468-7db6-44ab-a740-f6de61080fce","timestamp":"2026-03-18T05:11:39.920Z","permissionMode":"acceptEdits","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5eb20a94-f8df-4979-a0ae-2aa99bfad884","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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This endpoint offers the users to remove then systematically\n    28→// and also allows then to prune the data under node, if they do not want to\n    29→// remove the whole node.\n    30→// @produce     json\n    31→// @param       to        query    string        false  \"up to timestamp\"\n    32→// @success     200            {string} string  \"ok\"\n    33→// @failure     400            {object} api.ErrorResponse       \"Bad Request\"\n    34→// @failure     401            {object} api.ErrorResponse       \"Unauthorized\"\n    35→// @failure     403            {object} api.ErrorResponse       \"Forbidden\"\n    36→// @failure     500            {object} api.ErrorResponse       \"Internal Server Error\"\n    37→// @security    ApiKeyAuth\n    38→// @router      /free/ [post]\n    39→func freeMetrics(rw http.ResponseWriter, r *http.Request) {\n    40→\trawTo := r.URL.Query().Get(\"to\")\n    41→\tif rawTo == \"\" {\n    42→\t\thandleError(errors.New(\"'to' is a required query parameter\"), http.StatusBadRequest, rw)\n    43→\t\treturn\n    44→\t}\n    45→\n    46→\tto, err := strconv.ParseInt(rawTo, 10, 64)\n    47→\tif err != nil {\n    48→\t\thandleError(err, http.StatusInternalServerError, rw)\n    49→\t\treturn\n    50→\t}\n    51→\n    52→\tbodyDec := json.NewDecoder(r.Body)\n    53→\tvar selectors [][]string\n    54→\terr = bodyDec.Decode(&selectors)\n    55→\tif err != nil {\n    56→\t\thttp.Error(rw, err.Error(), http.StatusBadRequest)\n    57→\t\treturn\n    58→\t}\n    59→\n    60→\tms := metricstore.GetMemoryStore()\n    61→\tn := 0\n    62→\tfor _, sel := range selectors {\n    63→\t\tbn, err := ms.Free(sel, to)\n    64→\t\tif err != nil {\n    65→\t\t\thandleError(err, http.StatusInternalServerError, rw)\n    66→\t\t\treturn\n    67→\t\t}\n    68→\n    69→\t\tn += bn\n    70→\t}\n    71→\n    72→\trw.WriteHeader(http.StatusOK)\n    73→\tfmt.Fprintf(rw, \"buffers freed: %d\\n\", n)\n    74→}\n    75→\n    76→// handleWrite godoc\n    77→// @summary Receive metrics in InfluxDB line-protocol\n    78→// @tags write\n    79→// @description Write data to the in-memory store in the InfluxDB line-protocol using [this format](https://github.com/ClusterCockpit/cc-specifications/blob/master/metrics/lineprotocol_alternative.md)\n    80→\n    81→// @accept      plain\n    82→// @produce     json\n    83→// @param       cluster        query string false \"If the lines in the body do not have a cluster tag, use this value instead.\"\n    84→// @success     200            {string} string  \"ok\"\n    85→// @failure     400            {object} api.ErrorResponse       \"Bad Request\"\n    86→// @failure     401            {object} api.ErrorResponse       \"Unauthorized\"\n    87→// @failure     403            {object} api.ErrorResponse       \"Forbidden\"\n    88→// @failure     500            {object} api.ErrorResponse       \"Internal Server Error\"\n    89→// @security    ApiKeyAuth\n    90→// @router      /write/ [post]\n    91→func writeMetrics(rw http.ResponseWriter, r *http.Request) {\n    92→\trw.Header().Add(\"Content-Type\", \"application/json\")\n    93→\n    94→\t// Extract the \"cluster\" query parameter without allocating a url.Values map.\n    95→\tcluster := queryParam(r.URL.RawQuery, \"cluster\")\n    96→\n    97→\t// Stream directly from the request body instead of copying it into a\n    98→\t// temporary buffer via io.ReadAll. The line-protocol decoder supports\n    99→\t// io.Reader natively, so this avoids the largest heap allocation.\n   100→\tms := metricstore.GetMemoryStore()\n   101→\tdec := lineprotocol.NewDecoder(r.Body)\n   102→\tif err := metricstore.DecodeLine(dec, ms, cluster); err != nil {\n   103→\t\tcclog.Errorf(\"/api/write error: %s\", err.Error())\n   104→\t\thandleError(err, http.StatusBadRequest, rw)\n   105→\t\treturn\n   106→\t}\n   107→\trw.WriteHeader(http.StatusOK)\n   108→}\n   109→\n   110→// queryParam extracts a single query-parameter value from a raw query string\n   111→// without allocating a url.Values map. Returns \"\" if the key is not present.\n   112→func queryParam(raw, key string) string {\n   113→\tfor raw != \"\" {\n   114→\t\tvar kv string\n   115→\t\tkv, raw, _ = strings.Cut(raw, \"&\")\n   116→\t\tk, v, _ := strings.Cut(kv, \"=\")\n   117→\t\tif k == key {\n   118→\t\t\treturn v\n   119→\t\t}\n   120→\t}\n   121→\treturn \"\"\n   122→}\n   123→\n   124→// handleDebug godoc\n   125→// @summary Debug endpoint\n   126→// @tags debug\n   127→// @description This endpoint allows the users to print the content of\n   128→// nodes/clusters/metrics to review the state of the data.\n   129→// @produce     json\n   130→// @param       selector        query    string            false \"Selector\"\n   131→// @success     200            {string} string  \"Debug dump\"\n   132→// @failure     400            {object} api.ErrorResponse       \"Bad Request\"\n   133→// @failure     401            {object} api.ErrorResponse       \"Unauthorized\"\n   134→// @failure     403            {object} api.ErrorResponse       \"Forbidden\"\n   135→// @failure     500            {object} api.ErrorResponse       \"Internal Server Error\"\n   136→// @security    ApiKeyAuth\n   137→// @router      /debug/ [post]\n   138→func debugMetrics(rw http.ResponseWriter, r *http.Request) {\n   139→\traw := r.URL.Query().Get(\"selector\")\n   140→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   141→\tselector := []string{}\n   142→\tif len(raw) != 0 {\n   143→\t\tselector = strings.Split(raw, \":\")\n   144→\t}\n   145→\n   146→\tms := metricstore.GetMemoryStore()\n   147→\tif err := ms.DebugDump(bufio.NewWriter(rw), selector); err != nil {\n   148→\t\thandleError(err, http.StatusBadRequest, rw)\n   149→\t\treturn\n   150→\t}\n   151→}\n   152→"}]},"uuid":"39913ac6-6fa1-456c-a38f-a14878579339","timestamp":"2026-03-18T05:11:55.142Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/metricstore.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"bufio\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"net/http\"\n\t\"strconv\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\n\t\"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// handleFree godoc\n// @summary\n// @tags free\n// @description This endpoint allows the users to free the Buffers from the\n// metric store. This endpoint offers the users to remove then systematically\n// and also allows then to prune the data under node, if they do not want to\n// remove the whole node.\n// @produce     json\n// @param       to        query    string        false  \"up to timestamp\"\n// @success     200            {string} string  \"ok\"\n// @failure     400            {object} api.ErrorResponse       \"Bad Request\"\n// @failure     401            {object} api.ErrorResponse       \"Unauthorized\"\n// @failure     403            {object} api.ErrorResponse       \"Forbidden\"\n// @failure     500            {object} api.ErrorResponse       \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /free/ [post]\nfunc freeMetrics(rw http.ResponseWriter, r *http.Request) {\n\trawTo := r.URL.Query().Get(\"to\")\n\tif rawTo == \"\" {\n\t\thandleError(errors.New(\"'to' is a required query parameter\"), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tto, err := strconv.ParseInt(rawTo, 10, 64)\n\tif err != nil {\n\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\tbodyDec := json.NewDecoder(r.Body)\n\tvar selectors [][]string\n\terr = bodyDec.Decode(&selectors)\n\tif err != nil {\n\t\thttp.Error(rw, err.Error(), http.StatusBadRequest)\n\t\treturn\n\t}\n\n\tms := metricstore.GetMemoryStore()\n\tn := 0\n\tfor _, sel := range selectors {\n\t\tbn, err := ms.Free(sel, to)\n\t\tif err != nil {\n\t\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\t\treturn\n\t\t}\n\n\t\tn += bn\n\t}\n\n\trw.WriteHeader(http.StatusOK)\n\tfmt.Fprintf(rw, \"buffers freed: %d\\n\", n)\n}\n\n// handleWrite godoc\n// @summary Receive metrics in InfluxDB line-protocol\n// @tags write\n// @description Write data to the in-memory store in the InfluxDB line-protocol using [this format](https://github.com/ClusterCockpit/cc-specifications/blob/master/metrics/lineprotocol_alternative.md)\n\n// @accept      plain\n// @produce     json\n// @param       cluster        query string false \"If the lines in the body do not have a cluster tag, use this value instead.\"\n// @success     200            {string} string  \"ok\"\n// @failure     400            {object} api.ErrorResponse       \"Bad Request\"\n// @failure     401            {object} api.ErrorResponse       \"Unauthorized\"\n// @failure     403            {object} api.ErrorResponse       \"Forbidden\"\n// @failure     500            {object} api.ErrorResponse       \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /write/ [post]\nfunc writeMetrics(rw http.ResponseWriter, r *http.Request) {\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\n\t// Extract the \"cluster\" query parameter without allocating a url.Values map.\n\tcluster := queryParam(r.URL.RawQuery, \"cluster\")\n\n\t// Stream directly from the request body instead of copying it into a\n\t// temporary buffer via io.ReadAll. The line-protocol decoder supports\n\t// io.Reader natively, so this avoids the largest heap allocation.\n\tms := metricstore.GetMemoryStore()\n\tdec := lineprotocol.NewDecoder(r.Body)\n\tif err := metricstore.DecodeLine(dec, ms, cluster); err != nil {\n\t\tcclog.Errorf(\"/api/write error: %s\", err.Error())\n\t\thandleError(err, http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\trw.WriteHeader(http.StatusOK)\n}\n\n// queryParam extracts a single query-parameter value from a raw query string\n// without allocating a url.Values map. Returns \"\" if the key is not present.\nfunc queryParam(raw, key string) string {\n\tfor raw != \"\" {\n\t\tvar kv string\n\t\tkv, raw, _ = strings.Cut(raw, \"&\")\n\t\tk, v, _ := strings.Cut(kv, \"=\")\n\t\tif k == key {\n\t\t\treturn v\n\t\t}\n\t}\n\treturn \"\"\n}\n\n// handleDebug godoc\n// @summary Debug endpoint\n// @tags debug\n// @description This endpoint allows the users to print the content of\n// nodes/clusters/metrics to review the state of the data.\n// @produce     json\n// @param       selector        query    string            false \"Selector\"\n// @success     200            {string} string  \"Debug dump\"\n// @failure     400            {object} api.ErrorResponse       \"Bad Request\"\n// @failure     401            {object} api.ErrorResponse       \"Unauthorized\"\n// @failure     403            {object} api.ErrorResponse       \"Forbidden\"\n// @failure     500            {object} api.ErrorResponse       \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /debug/ [post]\nfunc debugMetrics(rw http.ResponseWriter, r *http.Request) {\n\traw := r.URL.Query().Get(\"selector\")\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\tselector := []string{}\n\tif len(raw) != 0 {\n\t\tselector = strings.Split(raw, \":\")\n\t}\n\n\tms := metricstore.GetMemoryStore()\n\tif err := ms.DebugDump(bufio.NewWriter(rw), selector); err != nil {\n\t\thandleError(err, http.StatusBadRequest, rw)\n\t\treturn\n\t}\n}\n","numLines":152,"startLine":1,"totalLines":152}},"sourceToolAssistantUUID":"d7c47105-2abd-463a-a30a-1aeb783bd819","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"5eb20a94-f8df-4979-a0ae-2aa99bfad884","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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diff --git a/7e/68050cab59/0/metadata.json b/7e/68050cab59/0/metadata.json
new file mode 100644
index 00000000..1f24d19f
--- /dev/null
+++ b/7e/68050cab59/0/metadata.json
@@ -0,0 +1,35 @@
+{
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+  "checkpoint_id": "7e68050cab59",
+  "session_id": "5eb20a94-f8df-4979-a0ae-2aa99bfad884",
+  "strategy": "manual-commit",
+  "created_at": "2026-03-18T05:14:15.937779Z",
+  "branch": "hotfix",
+  "checkpoints_count": 3,
+  "files_touched": [
+    "pkg/metricstore/lineprotocol.go",
+    "pkg/metricstore/metricstore.go",
+    "pkg/metricstore/walCheckpoint.go"
+  ],
+  "agent": "Claude Code",
+  "turn_id": "ee511b5a4551",
+  "token_usage": {
+    "input_tokens": 24,
+    "cache_creation_tokens": 46456,
+    "cache_read_tokens": 882339,
+    "output_tokens": 4423,
+    "api_call_count": 18
+  },
+  "session_metrics": {
+    "turn_count": 3
+  },
+  "initial_attribution": {
+    "calculated_at": "2026-03-18T05:14:15.784275Z",
+    "agent_lines": 40,
+    "human_added": 0,
+    "human_modified": 0,
+    "human_removed": 0,
+    "total_committed": 40,
+    "agent_percentage": 100
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+}
diff --git a/7e/68050cab59/0/prompt.txt b/7e/68050cab59/0/prompt.txt
new file mode 100644
index 00000000..eb15e0cf
--- /dev/null
+++ b/7e/68050cab59/0/prompt.txt
@@ -0,0 +1,5 @@
+Does a similar problem occur on the metricstore REST API path?
+
+---
+
+How many os level threads are used in this application? It is currently configurable?
\ No newline at end of file
diff --git a/7e/68050cab59/metadata.json b/7e/68050cab59/metadata.json
new file mode 100644
index 00000000..ff50e125
--- /dev/null
+++ b/7e/68050cab59/metadata.json
@@ -0,0 +1,27 @@
+{
+  "cli_version": "0.5.0",
+  "checkpoint_id": "7e68050cab59",
+  "strategy": "manual-commit",
+  "branch": "hotfix",
+  "checkpoints_count": 3,
+  "files_touched": [
+    "pkg/metricstore/lineprotocol.go",
+    "pkg/metricstore/metricstore.go",
+    "pkg/metricstore/walCheckpoint.go"
+  ],
+  "sessions": [
+    {
+      "metadata": "/7e/68050cab59/0/metadata.json",
+      "transcript": "/7e/68050cab59/0/full.jsonl",
+      "content_hash": "/7e/68050cab59/0/content_hash.txt",
+      "prompt": "/7e/68050cab59/0/prompt.txt"
+    }
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+    "cache_creation_tokens": 46456,
+    "cache_read_tokens": 882339,
+    "output_tokens": 4423,
+    "api_call_count": 18
+  }
+}
diff --git a/81/097a6c52a2/0/content_hash.txt b/81/097a6c52a2/0/content_hash.txt
new file mode 100644
index 00000000..aa8a9cb2
--- /dev/null
+++ b/81/097a6c52a2/0/content_hash.txt
@@ -0,0 +1 @@
+sha256:ef3b13c0b51b67706a93ffe617a94486f86a364c1f279f7dd234bb5c6145c80a
\ No newline at end of file
diff --git a/81/097a6c52a2/0/full.jsonl b/81/097a6c52a2/0/full.jsonl
new file mode 100644
index 00000000..3cd36aa5
--- /dev/null
+++ b/81/097a6c52a2/0/full.jsonl
@@ -0,0 +1,432 @@
+{"type":"file-history-snapshot","messageId":"0cc8876b-10ce-4edf-943f-0617397039d7","snapshot":{"messageId":"0cc8876b-10ce-4edf-943f-0617397039d7","trackedFileBackups":{},"timestamp":"2026-03-16T10:12:35.009Z"},"isSnapshotUpdate":false}
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+{"parentUuid":"62323b49-5343-4dbc-9e12-4595d1cbe76a","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Fix: SQLite Write Contention Causing OOM Crash\n\n## Context\n\nThe server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.\n\n**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.\n\nThe cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.\n\n---\n\n## Fix 1: Increase busy_timeout (contention relief)\n\n**File:** `internal/repository/dbConnection.go:73`\n\nChange `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:\n\n**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.\n\n**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.\n\n**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.\n\nWith 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.\n\n---\n\n## Fix 2: Batch Node State Updates in a Transaction\n\nCurrently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.\n\n**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:\n- Accept a slice of `(hostname, cluster, nodeState)` tuples\n- Begin transaction\n- For each node: lookup ID (or insert node), then insert state — all within the same transaction\n- Commit once\n\n**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.\n\n**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).\n\nKeep the existing `UpdateNodeState` method for single-node use cases.\n\n---\n\n## Fix 3: Fix LDAP Sync Race Condition\n\nThe LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.\n\n**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:\n```go\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n    rolesJson, _ := json.Marshal(user.Roles)\n    projectsJson, _ := json.Marshal(user.Projects)\n    cols := \"username, name, roles, projects, ldap\"\n    _, err := r.DB.Exec(\n        `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,\n        user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n    return err\n}\n```\n\n**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.\n\nNote: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.\n\n---\n\n## Fix 4: Add Semaphore for NATS Handlers\n\nWithout rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.\n\n**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:\n```go\ntype NatsAPI struct {\n    JobRepository   *repository.JobRepository\n    RepositoryMutex sync.Mutex\n    jobSem          chan struct{}\n    nodeSem         chan struct{}\n}\n```\n\nInitialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.\n\nAdd acquire/release in `handleJobEvent` and `handleNodeState`:\n```go\napi.jobSem <- struct{}{}\ndefer func() { <-api.jobSem }()\n```\n\nThis caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.\n\n---\n\n## Fix 5: Wrap SyncJobs in a Transaction\n\n**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)\n\nCurrently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:\n- `tx, err := r.DB.Beginx()`\n- Run all three operations on `tx`\n- `tx.Commit()`\n- Do the read-only ID resolution outside the transaction\n\nThis reduces lock acquisitions from 3 to 1 and ensures atomicity.\n\n---\n\n## Implementation Order\n\n1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact\n2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change\n3. **Fix 2** (batch node states) — biggest contention reduction\n4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction\n5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation\n\n---\n\n## Verification\n\n1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.\n2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.\n3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.\n4. Run `go test ./internal/repository/... ./internal/api/... ./internal/auth/...` after all changes.\n5. Load test: simulate burst of 100+ concurrent job start/stop events + node state update with 500 nodes + LDAP sync running simultaneously. Monitor goroutine count and memory.\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/d36fdafb-27dd-4101-b89a-e2bec3f83825.jsonl"},"uuid":"0cc8876b-10ce-4edf-943f-0617397039d7","timestamp":"2026-03-16T10:12:34.796Z","planContent":"# Fix: SQLite Write Contention Causing OOM Crash\n\n## Context\n\nThe server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.\n\n**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.\n\nThe cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.\n\n---\n\n## Fix 1: Increase busy_timeout (contention relief)\n\n**File:** `internal/repository/dbConnection.go:73`\n\nChange `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:\n\n**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.\n\n**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.\n\n**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.\n\nWith 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.\n\n---\n\n## Fix 2: Batch Node State Updates in a Transaction\n\nCurrently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.\n\n**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:\n- Accept a slice of `(hostname, cluster, nodeState)` tuples\n- Begin transaction\n- For each node: lookup ID (or insert node), then insert state — all within the same transaction\n- Commit once\n\n**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.\n\n**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).\n\nKeep the existing `UpdateNodeState` method for single-node use cases.\n\n---\n\n## Fix 3: Fix LDAP Sync Race Condition\n\nThe LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.\n\n**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:\n```go\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n    rolesJson, _ := json.Marshal(user.Roles)\n    projectsJson, _ := json.Marshal(user.Projects)\n    cols := \"username, name, roles, projects, ldap\"\n    _, err := r.DB.Exec(\n        `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,\n        user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n    return err\n}\n```\n\n**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.\n\nNote: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.\n\n---\n\n## Fix 4: Add Semaphore for NATS Handlers\n\nWithout rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.\n\n**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:\n```go\ntype NatsAPI struct {\n    JobRepository   *repository.JobRepository\n    RepositoryMutex sync.Mutex\n    jobSem          chan struct{}\n    nodeSem         chan struct{}\n}\n```\n\nInitialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.\n\nAdd acquire/release in `handleJobEvent` and `handleNodeState`:\n```go\napi.jobSem <- struct{}{}\ndefer func() { <-api.jobSem }()\n```\n\nThis caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.\n\n---\n\n## Fix 5: Wrap SyncJobs in a Transaction\n\n**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)\n\nCurrently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:\n- `tx, err := r.DB.Beginx()`\n- Run all three operations on `tx`\n- `tx.Commit()`\n- Do the read-only ID resolution outside the transaction\n\nThis reduces lock acquisitions from 3 to 1 and ensures atomicity.\n\n---\n\n## Implementation Order\n\n1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact\n2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change\n3. **Fix 2** (batch node states) — biggest contention reduction\n4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction\n5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation\n\n---\n\n## Verification\n\n1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.\n2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.\n3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.\n4. Run `go test ./internal/repository/... ./internal/api/... ./internal/auth/...` after all changes.\n5. Load test: simulate burst of 100+ concurrent job start/stop events + node state update with 500 nodes + LDAP sync running simultaneously. Monitor goroutine count and memory.\n","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"0e3b4b9e-99f8-48be-903e-a49279316f25","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TzRH5T8DTsP1Dn1zhjYuLh","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"database/sql\"\n    10→\t\"fmt\"\n    11→\t\"net/url\"\n    12→\t\"sync\"\n    13→\t\"time\"\n    14→\n    15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    16→\t\"github.com/jmoiron/sqlx\"\n    17→\t\"github.com/mattn/go-sqlite3\"\n    18→\t\"github.com/qustavo/sqlhooks/v2\"\n    19→)\n    20→\n    21→var (\n    22→\tdbConnOnce     sync.Once\n    23→\tdbConnInstance *DBConnection\n    24→)\n    25→\n    26→type DBConnection struct {\n    27→\tDB     *sqlx.DB\n    28→\tDriver string\n    29→}\n    30→\n    31→type DatabaseOptions struct {\n    32→\tURL                   string\n    33→\tMaxOpenConnections    int\n    34→\tMaxIdleConnections    int\n    35→\tConnectionMaxLifetime time.Duration\n    36→\tConnectionMaxIdleTime time.Duration\n    37→}\n    38→\n    39→func setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n    40→\tpragmas := []string{\n    41→\t\t\"temp_store = memory\",\n    42→\t\tfmt.Sprintf(\"soft_heap_limit = %d\", int64(cfg.DbSoftHeapLimitMB)*1024*1024),\n    43→\t}\n    44→\n    45→\tfor _, pragma := range pragmas {\n    46→\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n    47→\t\tif err != nil {\n    48→\t\t\treturn err\n    49→\t\t}\n    50→\t}\n    51→\n    52→\treturn nil\n    53→}\n    54→\n    55→func Connect(db string) {\n    56→\tvar err error\n    57→\tvar dbHandle *sqlx.DB\n    58→\n    59→\tdbConnOnce.Do(func() {\n    60→\t\topts := DatabaseOptions{\n    61→\t\t\tURL:                   db,\n    62→\t\t\tMaxOpenConnections:    repoConfig.MaxOpenConnections,\n    63→\t\t\tMaxIdleConnections:    repoConfig.MaxIdleConnections,\n    64→\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n    65→\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n    66→\t\t}\n    67→\n    68→\t\t// TODO: Have separate DB handles for Writes and Reads\n    69→\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n    70→\t\tconnectionURLParams := make(url.Values)\n    71→\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n    72→\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n    73→\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n    74→\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n    75→\t\tcacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\n    76→\t\tconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))\n    77→\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n    78→\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n    79→\n    80→\t\tif cclog.Loglevel() == \"debug\" {\n    81→\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n    82→\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n    83→\t\t} else {\n    84→\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n    85→\t\t}\n    86→\n    87→\t\tif err != nil {\n    88→\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n    89→\t\t}\n    90→\n    91→\t\terr = setupSqlite(dbHandle.DB, repoConfig)\n    92→\t\tif err != nil {\n    93→\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n    94→\t\t}\n    95→\n    96→\t\tcclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n    97→\t\t\trepoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n    98→\n    99→\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n   100→\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n   101→\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n   102→\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n   103→\n   104→\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n   105→\t\terr = checkDBVersion(dbHandle.DB)\n   106→\t\tif err != nil {\n   107→\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n   108→\t\t}\n   109→\t})\n   110→}\n   111→\n   112→func GetConnection() *DBConnection {\n   113→\tif dbConnInstance == nil {\n   114→\t\tcclog.Fatalf(\"Database connection not initialized!\")\n   115→\t}\n   116→\n   117→\treturn dbConnInstance\n   118→}\n   119→\n   120→// ResetConnection closes the current database connection and resets the connection state.\n   121→// This function is intended for testing purposes only to allow test isolation.\n   122→func ResetConnection() error {\n   123→\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n   124→\t\tif err := dbConnInstance.DB.Close(); err != nil {\n   125→\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n   126→\t\t}\n   127→\t}\n   128→\n   129→\tdbConnInstance = nil\n   130→\tdbConnOnce = sync.Once{}\n   131→\tjobRepoInstance = nil\n   132→\tjobRepoOnce = sync.Once{}\n   133→\tnodeRepoInstance = nil\n   134→\tnodeRepoOnce = sync.Once{}\n   135→\tuserRepoInstance = nil\n   136→\tuserRepoOnce = sync.Once{}\n   137→\tuserCfgRepoInstance = nil\n   138→\tuserCfgRepoOnce = sync.Once{}\n   139→\n   140→\treturn nil\n   141→}\n   142→"}]},"uuid":"053ca6d0-ed8d-4c44-8b34-5684b920c55c","timestamp":"2026-03-16T10:12:39.544Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/dbConnection.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"fmt\"\n\t\"net/url\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"github.com/mattn/go-sqlite3\"\n\t\"github.com/qustavo/sqlhooks/v2\"\n)\n\nvar (\n\tdbConnOnce     sync.Once\n\tdbConnInstance *DBConnection\n)\n\ntype DBConnection struct {\n\tDB     *sqlx.DB\n\tDriver string\n}\n\ntype DatabaseOptions struct {\n\tURL                   string\n\tMaxOpenConnections    int\n\tMaxIdleConnections    int\n\tConnectionMaxLifetime time.Duration\n\tConnectionMaxIdleTime time.Duration\n}\n\nfunc setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t\tfmt.Sprintf(\"soft_heap_limit = %d\", int64(cfg.DbSoftHeapLimitMB)*1024*1024),\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc Connect(db string) {\n\tvar err error\n\tvar dbHandle *sqlx.DB\n\n\tdbConnOnce.Do(func() {\n\t\topts := DatabaseOptions{\n\t\t\tURL:                   db,\n\t\t\tMaxOpenConnections:    repoConfig.MaxOpenConnections,\n\t\t\tMaxIdleConnections:    repoConfig.MaxIdleConnections,\n\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n\t\t}\n\n\t\t// TODO: Have separate DB handles for Writes and Reads\n\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n\t\tconnectionURLParams := make(url.Values)\n\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n\t\tcacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\n\t\tconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))\n\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n\n\t\tif cclog.Loglevel() == \"debug\" {\n\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n\t\t} else {\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n\t\t}\n\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\terr = setupSqlite(dbHandle.DB, repoConfig)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tcclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n\t\t\trepoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n\n\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n\t\terr = checkDBVersion(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n\t\t}\n\t})\n}\n\nfunc GetConnection() *DBConnection {\n\tif dbConnInstance == nil {\n\t\tcclog.Fatalf(\"Database connection not initialized!\")\n\t}\n\n\treturn dbConnInstance\n}\n\n// ResetConnection closes the current database connection and resets the connection state.\n// This function is intended for testing purposes only to allow test isolation.\nfunc ResetConnection() error {\n\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n\t\tif err := dbConnInstance.DB.Close(); err != nil {\n\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n\t\t}\n\t}\n\n\tdbConnInstance = nil\n\tdbConnOnce = sync.Once{}\n\tjobRepoInstance = nil\n\tjobRepoOnce = sync.Once{}\n\tnodeRepoInstance = nil\n\tnodeRepoOnce = sync.Once{}\n\tuserRepoInstance = nil\n\tuserRepoOnce = sync.Once{}\n\tuserCfgRepoInstance = nil\n\tuserCfgRepoOnce = sync.Once{}\n\n\treturn nil\n}\n","numLines":142,"startLine":1,"totalLines":142}},"sourceToolAssistantUUID":"0e3b4b9e-99f8-48be-903e-a49279316f25","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"352d7440-d01b-4d22-bd9c-3f56616211e2","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012orF9pg72YJWFiTr5U3zzS","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import \"time\"\n     9→\n    10→// RepositoryConfig holds configuration for repository operations.\n    11→// All fields have sensible defaults, so this configuration is optional.\n    12→type RepositoryConfig struct {\n    13→\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n    14→\t// Default: 1MB (1024 * 1024 bytes)\n    15→\tCacheSize int\n    16→\n    17→\t// MaxOpenConnections is the maximum number of open database connections.\n    18→\t// Default: 4\n    19→\tMaxOpenConnections int\n    20→\n    21→\t// MaxIdleConnections is the maximum number of idle database connections.\n    22→\t// Default: 4\n    23→\tMaxIdleConnections int\n    24→\n    25→\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n    26→\t// Default: 1 hour\n    27→\tConnectionMaxLifetime time.Duration\n    28→\n    29→\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n    30→\t// Default: 10 minutes\n    31→\tConnectionMaxIdleTime time.Duration\n    32→\n    33→\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n    34→\t// considered in \"running jobs\" queries. This filters out very short jobs.\n    35→\t// Default: 600 seconds (10 minutes)\n    36→\tMinRunningJobDuration int\n    37→\n    38→\t// DbCacheSizeMB is the SQLite page cache size per connection in MB.\n    39→\t// Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n    40→\t// and DbCacheSizeMB=2048, total page cache is up to 8GB.\n    41→\t// Default: 2048 (2GB)\n    42→\tDbCacheSizeMB int\n    43→\n    44→\t// DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n    45→\t// SQLite will try to release cache pages to stay under this limit.\n    46→\t// It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n    47→\t// Default: 16384 (16GB)\n    48→\tDbSoftHeapLimitMB int\n    49→}\n    50→\n    51→// DefaultConfig returns the default repository configuration.\n    52→// These values are optimized for typical deployments.\n    53→func DefaultConfig() *RepositoryConfig {\n    54→\treturn &RepositoryConfig{\n    55→\t\tCacheSize:             1 * 1024 * 1024, // 1MB\n    56→\t\tMaxOpenConnections:    4,\n    57→\t\tMaxIdleConnections:    4,\n    58→\t\tConnectionMaxLifetime: time.Hour,\n    59→\t\tConnectionMaxIdleTime: 10 * time.Minute,\n    60→\t\tMinRunningJobDuration: 600, // 10 minutes\n    61→\t\tDbCacheSizeMB:        2048,  // 2GB per connection\n    62→\t\tDbSoftHeapLimitMB:    16384, // 16GB process-wide\n    63→\t}\n    64→}\n    65→\n    66→// repoConfig is the package-level configuration instance.\n    67→// It is initialized with defaults and can be overridden via SetConfig.\n    68→var repoConfig *RepositoryConfig = DefaultConfig()\n    69→\n    70→// SetConfig sets the repository configuration.\n    71→// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n    72→// If not called, default values from DefaultConfig() are used.\n    73→func SetConfig(cfg *RepositoryConfig) {\n    74→\tif cfg != nil {\n    75→\t\trepoConfig = cfg\n    76→\t}\n    77→}\n    78→\n    79→// GetConfig returns the current repository configuration.\n    80→func GetConfig() *RepositoryConfig {\n    81→\treturn repoConfig\n    82→}\n    83→"}]},"uuid":"85257af6-41af-4431-9199-d7d5cd1f1c06","timestamp":"2026-03-16T10:12:40.045Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/config.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport \"time\"\n\n// RepositoryConfig holds configuration for repository operations.\n// All fields have sensible defaults, so this configuration is optional.\ntype RepositoryConfig struct {\n\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n\t// Default: 1MB (1024 * 1024 bytes)\n\tCacheSize int\n\n\t// MaxOpenConnections is the maximum number of open database connections.\n\t// Default: 4\n\tMaxOpenConnections int\n\n\t// MaxIdleConnections is the maximum number of idle database connections.\n\t// Default: 4\n\tMaxIdleConnections int\n\n\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n\t// Default: 1 hour\n\tConnectionMaxLifetime time.Duration\n\n\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n\t// Default: 10 minutes\n\tConnectionMaxIdleTime time.Duration\n\n\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n\t// considered in \"running jobs\" queries. This filters out very short jobs.\n\t// Default: 600 seconds (10 minutes)\n\tMinRunningJobDuration int\n\n\t// DbCacheSizeMB is the SQLite page cache size per connection in MB.\n\t// Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n\t// and DbCacheSizeMB=2048, total page cache is up to 8GB.\n\t// Default: 2048 (2GB)\n\tDbCacheSizeMB int\n\n\t// DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n\t// SQLite will try to release cache pages to stay under this limit.\n\t// It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n\t// Default: 16384 (16GB)\n\tDbSoftHeapLimitMB int\n}\n\n// DefaultConfig returns the default repository configuration.\n// These values are optimized for typical deployments.\nfunc DefaultConfig() *RepositoryConfig {\n\treturn &RepositoryConfig{\n\t\tCacheSize:             1 * 1024 * 1024, // 1MB\n\t\tMaxOpenConnections:    4,\n\t\tMaxIdleConnections:    4,\n\t\tConnectionMaxLifetime: time.Hour,\n\t\tConnectionMaxIdleTime: 10 * time.Minute,\n\t\tMinRunningJobDuration: 600, // 10 minutes\n\t\tDbCacheSizeMB:        2048,  // 2GB per connection\n\t\tDbSoftHeapLimitMB:    16384, // 16GB process-wide\n\t}\n}\n\n// repoConfig is the package-level configuration instance.\n// It is initialized with defaults and can be overridden via SetConfig.\nvar repoConfig *RepositoryConfig = DefaultConfig()\n\n// SetConfig sets the repository configuration.\n// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n// If not called, default values from DefaultConfig() are used.\nfunc SetConfig(cfg *RepositoryConfig) {\n\tif cfg != nil {\n\t\trepoConfig = cfg\n\t}\n}\n\n// GetConfig returns the current repository configuration.\nfunc GetConfig() *RepositoryConfig {\n\treturn repoConfig\n}\n","numLines":83,"startLine":1,"totalLines":83}},"sourceToolAssistantUUID":"352d7440-d01b-4d22-bd9c-3f56616211e2","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"641c9a76-91d8-4156-a19d-7ccb6d93cf69","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ApteHWPiKLmA7YP4uFfRyv","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package archive\n     7→\n     8→import (\n     9→\t\"bytes\"\n    10→\t\"compress/gzip\"\n    11→\t\"database/sql\"\n    12→\t\"encoding/json\"\n    13→\t\"fmt\"\n    14→\t\"io\"\n    15→\t\"math\"\n    16→\t\"os\"\n    17→\t\"slices\"\n    18→\t\"strconv\"\n    19→\t\"sync\"\n    20→\t\"text/tabwriter\"\n    21→\t\"time\"\n    22→\n    23→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    24→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    25→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    26→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n    27→\t_ \"github.com/mattn/go-sqlite3\"\n    28→)\n    29→\n    30→// SqliteArchiveConfig holds the configuration for the SQLite archive backend.\n    31→type SqliteArchiveConfig struct {\n    32→\tDBPath string `json:\"db-path\"` // Path to SQLite database file\n    33→}\n    34→\n    35→// SqliteArchive implements ArchiveBackend using a SQLite database with BLOB storage.\n    36→// Job metadata and data are stored as JSON BLOBs with indexes for fast queries.\n    37→//\n    38→// Uses WAL (Write-Ahead Logging) mode for better concurrency and a 64MB cache.\n    39→type SqliteArchive struct {\n    40→\tdb       *sql.DB  // SQLite database connection\n    41→\tclusters []string // List of discovered cluster names\n    42→}\n    43→\n    44→// sqliteSchema defines the database schema for SQLite archive backend.\n    45→// Jobs table: stores job metadata and data as BLOBs with compression flag\n    46→// Clusters table: stores cluster configurations\n    47→// Metadata table: stores version and other key-value pairs\n    48→const sqliteSchema = `\n    49→CREATE TABLE IF NOT EXISTS jobs (\n    50→    id INTEGER PRIMARY KEY AUTOINCREMENT,\n    51→    job_id INTEGER NOT NULL,\n    52→    cluster TEXT NOT NULL,\n    53→    start_time INTEGER NOT NULL,\n    54→    meta_json BLOB NOT NULL,\n    55→    data_json BLOB,\n    56→    data_compressed BOOLEAN DEFAULT 0,\n    57→    created_at INTEGER NOT NULL,\n    58→    updated_at INTEGER NOT NULL,\n    59→    UNIQUE(job_id, cluster, start_time)\n    60→);\n    61→\n    62→CREATE INDEX IF NOT EXISTS idx_jobs_cluster ON jobs(cluster);\n    63→CREATE INDEX IF NOT EXISTS idx_jobs_start_time ON jobs(start_time);\n    64→CREATE INDEX IF NOT EXISTS idx_jobs_order ON jobs(cluster, start_time);\n    65→CREATE INDEX IF NOT EXISTS idx_jobs_lookup ON jobs(cluster, job_id, start_time);\n    66→\n    67→CREATE TABLE IF NOT EXISTS clusters (\n    68→    name TEXT PRIMARY KEY,\n    69→    config_json BLOB NOT NULL,\n    70→    updated_at INTEGER NOT NULL\n    71→);\n    72→\n    73→CREATE TABLE IF NOT EXISTS metadata (\n    74→    key TEXT PRIMARY KEY,\n    75→    value TEXT NOT NULL\n    76→);\n    77→`\n    78→\n    79→func (sa *SqliteArchive) Init(rawConfig json.RawMessage) (uint64, error) {\n    80→\tvar cfg SqliteArchiveConfig\n    81→\tif err := json.Unmarshal(rawConfig, &cfg); err != nil {\n    82→\t\tcclog.Warnf(\"SqliteArchive Init() > Unmarshal error: %#v\", err)\n    83→\t\treturn 0, err\n    84→\t}\n    85→\n    86→\tif cfg.DBPath == \"\" {\n    87→\t\terr := fmt.Errorf(\"SqliteArchive Init(): empty database path\")\n    88→\t\tcclog.Errorf(\"SqliteArchive Init() > config error: %v\", err)\n    89→\t\treturn 0, err\n    90→\t}\n    91→\n    92→\t// Open SQLite database\n    93→\tdb, err := sql.Open(\"sqlite3\", cfg.DBPath)\n    94→\tif err != nil {\n    95→\t\tcclog.Errorf(\"SqliteArchive Init() > failed to open database: %v\", err)\n    96→\t\treturn 0, err\n    97→\t}\n    98→\tsa.db = db\n    99→\n   100→\t// Set pragmas for better performance\n   101→\tpragmas := []string{\n   102→\t\t\"PRAGMA journal_mode=WAL\",\n   103→\t\t\"PRAGMA synchronous=NORMAL\",\n   104→\t\t\"PRAGMA cache_size=-64000\", // 64MB cache\n   105→\t\t\"PRAGMA busy_timeout=5000\",\n   106→\t}\n   107→\tfor _, pragma := range pragmas {\n   108→\t\tif _, err := sa.db.Exec(pragma); err != nil {\n   109→\t\t\tcclog.Warnf(\"SqliteArchive Init() > pragma failed: %v\", err)\n   110→\t\t}\n   111→\t}\n   112→\n   113→\t// Create schema\n   114→\tif _, err := sa.db.Exec(sqliteSchema); err != nil {\n   115→\t\tcclog.Errorf(\"SqliteArchive Init() > schema creation failed: %v\", err)\n   116→\t\treturn 0, err\n   117→\t}\n   118→\n   119→\t// Check/set version\n   120→\tvar versionStr string\n   121→\terr = sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'version'\").Scan(&versionStr)\n   122→\tif err == sql.ErrNoRows {\n   123→\t\t// First time initialization, set version\n   124→\t\t_, err = sa.db.Exec(\"INSERT INTO metadata (key, value) VALUES ('version', ?)\", fmt.Sprintf(\"%d\", Version))\n   125→\t\tif err != nil {\n   126→\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to set version: %v\", err)\n   127→\t\t\treturn 0, err\n   128→\t\t}\n   129→\t\tversionStr = fmt.Sprintf(\"%d\", Version)\n   130→\t} else if err != nil {\n   131→\t\tcclog.Errorf(\"SqliteArchive Init() > failed to read version: %v\", err)\n   132→\t\treturn 0, err\n   133→\t}\n   134→\n   135→\tversion, err := strconv.ParseUint(versionStr, 10, 64)\n   136→\tif err != nil {\n   137→\t\tcclog.Errorf(\"SqliteArchive Init() > version parse error: %v\", err)\n   138→\t\treturn 0, err\n   139→\t}\n   140→\n   141→\tif version != Version {\n   142→\t\treturn version, fmt.Errorf(\"unsupported version %d, need %d\", version, Version)\n   143→\t}\n   144→\n   145→\t// Discover clusters\n   146→\tsa.clusters = []string{}\n   147→\trows, err := sa.db.Query(\"SELECT DISTINCT cluster FROM jobs ORDER BY cluster\")\n   148→\tif err != nil {\n   149→\t\tcclog.Errorf(\"SqliteArchive Init() > failed to query clusters: %v\", err)\n   150→\t\treturn 0, err\n   151→\t}\n   152→\tdefer rows.Close()\n   153→\n   154→\tfor rows.Next() {\n   155→\t\tvar cluster string\n   156→\t\tif err := rows.Scan(&cluster); err != nil {\n   157→\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to scan cluster: %v\", err)\n   158→\t\t\tcontinue\n   159→\t\t}\n   160→\t\tsa.clusters = append(sa.clusters, cluster)\n   161→\t}\n   162→\n   163→\tcclog.Infof(\"SqliteArchive initialized with database '%s', found %d clusters\", cfg.DBPath, len(sa.clusters))\n   164→\treturn version, nil\n   165→}\n   166→\n   167→func (sa *SqliteArchive) Info() {\n   168→\tfmt.Printf(\"SQLite Job archive database\\n\")\n   169→\n   170→\tci := make(map[string]*clusterInfo)\n   171→\n   172→\trows, err := sa.db.Query(`\n   173→\t\tSELECT cluster, COUNT(*), MIN(start_time), MAX(start_time),\n   174→\t\t       SUM(LENGTH(meta_json) + COALESCE(LENGTH(data_json), 0))\n   175→\t\tFROM jobs\n   176→\t\tGROUP BY cluster\n   177→\t`)\n   178→\tif err != nil {\n   179→\t\tcclog.Fatalf(\"SqliteArchive Info() > query failed: %s\", err.Error())\n   180→\t}\n   181→\tdefer rows.Close()\n   182→\n   183→\tfor rows.Next() {\n   184→\t\tvar cluster string\n   185→\t\tvar numJobs int\n   186→\t\tvar dateFirst, dateLast int64\n   187→\t\tvar diskSize int64\n   188→\n   189→\t\tif err := rows.Scan(&cluster, &numJobs, &dateFirst, &dateLast, &diskSize); err != nil {\n   190→\t\t\tcclog.Errorf(\"SqliteArchive Info() > scan failed: %v\", err)\n   191→\t\t\tcontinue\n   192→\t\t}\n   193→\n   194→\t\tci[cluster] = &clusterInfo{\n   195→\t\t\tnumJobs:   numJobs,\n   196→\t\t\tdateFirst: dateFirst,\n   197→\t\t\tdateLast:  dateLast,\n   198→\t\t\tdiskSize:  float64(diskSize) / (1024 * 1024), // Convert to MB\n   199→\t\t}\n   200→\t}\n   201→\n   202→\tcit := clusterInfo{dateFirst: time.Now().Unix()}\n   203→\tw := tabwriter.NewWriter(os.Stdout, 0, 0, 2, ' ', tabwriter.Debug)\n   204→\tfmt.Fprintln(w, \"cluster\\t#jobs\\tfrom\\tto\\tsize (MB)\")\n   205→\tfor cluster, clusterInfo := range ci {\n   206→\t\tfmt.Fprintf(w, \"%s\\t%d\\t%s\\t%s\\t%.2f\\n\", cluster,\n   207→\t\t\tclusterInfo.numJobs,\n   208→\t\t\ttime.Unix(clusterInfo.dateFirst, 0),\n   209→\t\t\ttime.Unix(clusterInfo.dateLast, 0),\n   210→\t\t\tclusterInfo.diskSize)\n   211→\n   212→\t\tcit.numJobs += clusterInfo.numJobs\n   213→\t\tcit.dateFirst = util.Min(cit.dateFirst, clusterInfo.dateFirst)\n   214→\t\tcit.dateLast = util.Max(cit.dateLast, clusterInfo.dateLast)\n   215→\t\tcit.diskSize += clusterInfo.diskSize\n   216→\t}\n   217→\n   218→\tfmt.Fprintf(w, \"TOTAL\\t%d\\t%s\\t%s\\t%.2f\\n\",\n   219→\t\tcit.numJobs, time.Unix(cit.dateFirst, 0), time.Unix(cit.dateLast, 0), cit.diskSize)\n   220→\tw.Flush()\n   221→}\n   222→\n   223→func (sa *SqliteArchive) Exists(job *schema.Job) bool {\n   224→\tvar count int\n   225→\terr := sa.db.QueryRow(\"SELECT COUNT(*) FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n   226→\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&count)\n   227→\treturn err == nil && count > 0\n   228→}\n   229→\n   230→func (sa *SqliteArchive) LoadJobMeta(job *schema.Job) (*schema.Job, error) {\n   231→\tvar metaBlob []byte\n   232→\terr := sa.db.QueryRow(\"SELECT meta_json FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n   233→\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&metaBlob)\n   234→\tif err != nil {\n   235→\t\tcclog.Errorf(\"SqliteArchive LoadJobMeta() > query error: %v\", err)\n   236→\t\treturn nil, err\n   237→\t}\n   238→\n   239→\tif config.Keys.Validate {\n   240→\t\tif err := schema.Validate(schema.Meta, bytes.NewReader(metaBlob)); err != nil {\n   241→\t\t\treturn nil, fmt.Errorf(\"validate job meta: %v\", err)\n   242→\t\t}\n   243→\t}\n   244→\n   245→\treturn DecodeJobMeta(bytes.NewReader(metaBlob))\n   246→}\n   247→\n   248→func (sa *SqliteArchive) LoadJobData(job *schema.Job) (schema.JobData, error) {\n   249→\tvar dataBlob []byte\n   250→\tvar compressed bool\n   251→\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n   252→\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n   253→\tif err != nil {\n   254→\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > query error: %v\", err)\n   255→\t\treturn nil, err\n   256→\t}\n   257→\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n   258→\n   259→\tvar reader io.Reader = bytes.NewReader(dataBlob)\n   260→\tif compressed {\n   261→\t\tgzipReader, err := gzip.NewReader(reader)\n   262→\t\tif err != nil {\n   263→\t\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > gzip error: %v\", err)\n   264→\t\t\treturn nil, err\n   265→\t\t}\n   266→\t\tdefer gzipReader.Close()\n   267→\t\treader = gzipReader\n   268→\t}\n   269→\n   270→\tif config.Keys.Validate {\n   271→\t\tdata, _ := io.ReadAll(reader)\n   272→\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n   273→\t\t\treturn schema.JobData{}, fmt.Errorf(\"validate job data: %v\", err)\n   274→\t\t}\n   275→\t\treturn DecodeJobData(bytes.NewReader(data), key)\n   276→\t}\n   277→\n   278→\treturn DecodeJobData(reader, key)\n   279→}\n   280→\n   281→func (sa *SqliteArchive) LoadJobStats(job *schema.Job) (schema.ScopedJobStats, error) {\n   282→\tvar dataBlob []byte\n   283→\tvar compressed bool\n   284→\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n   285→\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n   286→\tif err != nil {\n   287→\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > query error: %v\", err)\n   288→\t\treturn nil, err\n   289→\t}\n   290→\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n   291→\n   292→\tvar reader io.Reader = bytes.NewReader(dataBlob)\n   293→\tif compressed {\n   294→\t\tgzipReader, err := gzip.NewReader(reader)\n   295→\t\tif err != nil {\n   296→\t\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > gzip error: %v\", err)\n   297→\t\t\treturn nil, err\n   298→\t\t}\n   299→\t\tdefer gzipReader.Close()\n   300→\t\treader = gzipReader\n   301→\t}\n   302→\n   303→\tif config.Keys.Validate {\n   304→\t\tdata, _ := io.ReadAll(reader)\n   305→\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n   306→\t\t\treturn nil, fmt.Errorf(\"validate job data: %v\", err)\n   307→\t\t}\n   308→\t\treturn DecodeJobStats(bytes.NewReader(data), key)\n   309→\t}\n   310→\n   311→\treturn DecodeJobStats(reader, key)\n   312→}\n   313→\n   314→func (sa *SqliteArchive) LoadClusterCfg(name string) (*schema.Cluster, error) {\n   315→\tvar configBlob []byte\n   316→\terr := sa.db.QueryRow(\"SELECT config_json FROM clusters WHERE name = ?\", name).Scan(&configBlob)\n   317→\tif err != nil {\n   318→\t\tcclog.Errorf(\"SqliteArchive LoadClusterCfg() > query error: %v\", err)\n   319→\t\treturn nil, err\n   320→\t}\n   321→\n   322→\tif config.Keys.Validate {\n   323→\t\tif err := schema.Validate(schema.ClusterCfg, bytes.NewReader(configBlob)); err != nil {\n   324→\t\t\tcclog.Warnf(\"Validate cluster config: %v\\n\", err)\n   325→\t\t\treturn &schema.Cluster{}, fmt.Errorf(\"validate cluster config: %v\", err)\n   326→\t\t}\n   327→\t}\n   328→\n   329→\treturn DecodeCluster(bytes.NewReader(configBlob))\n   330→}\n   331→\n   332→func (sa *SqliteArchive) StoreJobMeta(job *schema.Job) error {\n   333→\tvar metaBuf bytes.Buffer\n   334→\tif err := EncodeJobMeta(&metaBuf, job); err != nil {\n   335→\t\tcclog.Error(\"SqliteArchive StoreJobMeta() > encoding error\")\n   336→\t\treturn err\n   337→\t}\n   338→\n   339→\tnow := time.Now().Unix()\n   340→\t_, err := sa.db.Exec(`\n   341→\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, created_at, updated_at)\n   342→\t\tVALUES (?, ?, ?, ?, ?, ?)\n   343→\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n   344→\t\t\tmeta_json = excluded.meta_json,\n   345→\t\t\tupdated_at = excluded.updated_at\n   346→\t`, job.JobID, job.Cluster, job.StartTime, metaBuf.Bytes(), now, now)\n   347→\tif err != nil {\n   348→\t\tcclog.Errorf(\"SqliteArchive StoreJobMeta() > insert error: %v\", err)\n   349→\t\treturn err\n   350→\t}\n   351→\n   352→\treturn nil\n   353→}\n   354→\n   355→func (sa *SqliteArchive) ImportJob(jobMeta *schema.Job, jobData *schema.JobData) error {\n   356→\tvar metaBuf, dataBuf bytes.Buffer\n   357→\tif err := EncodeJobMeta(&metaBuf, jobMeta); err != nil {\n   358→\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding meta error\")\n   359→\t\treturn err\n   360→\t}\n   361→\tif err := EncodeJobData(&dataBuf, jobData); err != nil {\n   362→\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding data error\")\n   363→\t\treturn err\n   364→\t}\n   365→\n   366→\tvar dataBytes []byte\n   367→\tvar compressed bool\n   368→\n   369→\tif dataBuf.Len() > 2000 {\n   370→\t\tvar compressedBuf bytes.Buffer\n   371→\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n   372→\t\tif _, err := gzipWriter.Write(dataBuf.Bytes()); err != nil {\n   373→\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip write error: %v\", err)\n   374→\t\t\treturn err\n   375→\t\t}\n   376→\t\tif err := gzipWriter.Close(); err != nil {\n   377→\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip close error: %v\", err)\n   378→\t\t\treturn err\n   379→\t\t}\n   380→\t\tdataBytes = compressedBuf.Bytes()\n   381→\t\tcompressed = true\n   382→\t} else {\n   383→\t\tdataBytes = dataBuf.Bytes()\n   384→\t\tcompressed = false\n   385→\t}\n   386→\n   387→\tnow := time.Now().Unix()\n   388→\t_, err := sa.db.Exec(`\n   389→\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, data_json, data_compressed, created_at, updated_at)\n   390→\t\tVALUES (?, ?, ?, ?, ?, ?, ?, ?)\n   391→\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n   392→\t\t\tmeta_json = excluded.meta_json,\n   393→\t\t\tdata_json = excluded.data_json,\n   394→\t\t\tdata_compressed = excluded.data_compressed,\n   395→\t\t\tupdated_at = excluded.updated_at\n   396→\t`, jobMeta.JobID, jobMeta.Cluster, jobMeta.StartTime, metaBuf.Bytes(), dataBytes, compressed, now, now)\n   397→\tif err != nil {\n   398→\t\tcclog.Errorf(\"SqliteArchive ImportJob() > insert error: %v\", err)\n   399→\t\treturn err\n   400→\t}\n   401→\n   402→\treturn nil\n   403→}\n   404→\n   405→func (sa *SqliteArchive) GetClusters() []string {\n   406→\treturn sa.clusters\n   407→}\n   408→\n   409→func (sa *SqliteArchive) CleanUp(jobs []*schema.Job) {\n   410→\tstart := time.Now()\n   411→\tcount := 0\n   412→\n   413→\ttx, err := sa.db.Begin()\n   414→\tif err != nil {\n   415→\t\tcclog.Errorf(\"SqliteArchive CleanUp() > transaction error: %v\", err)\n   416→\t\treturn\n   417→\t}\n   418→\tdefer tx.Rollback()\n   419→\n   420→\tstmt, err := tx.Prepare(\"DELETE FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n   421→\tif err != nil {\n   422→\t\tcclog.Errorf(\"SqliteArchive CleanUp() > prepare error: %v\", err)\n   423→\t\treturn\n   424→\t}\n   425→\tdefer stmt.Close()\n   426→\n   427→\tfor _, job := range jobs {\n   428→\t\tif job == nil {\n   429→\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() error: job is nil\")\n   430→\t\t\tcontinue\n   431→\t\t}\n   432→\n   433→\t\tif _, err := stmt.Exec(job.JobID, job.Cluster, job.StartTime); err != nil {\n   434→\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() > delete error: %v\", err)\n   435→\t\t} else {\n   436→\t\t\tcount++\n   437→\t\t}\n   438→\t}\n   439→\n   440→\tif err := tx.Commit(); err != nil {\n   441→\t\tcclog.Errorf(\"SqliteArchive CleanUp() > commit error: %v\", err)\n   442→\t\treturn\n   443→\t}\n   444→\n   445→\tcclog.Infof(\"Retention Service - Remove %d jobs from SQLite in %s\", count, time.Since(start))\n   446→}\n   447→\n   448→func (sa *SqliteArchive) Move(jobs []*schema.Job, targetPath string) {\n   449→\t// For SQLite, \"move\" means updating the cluster field or similar\n   450→\t// This is interpretation-dependent; for now we'll just log\n   451→\tcclog.Warnf(\"SqliteArchive Move() is not fully implemented - moves within database not applicable\")\n   452→}\n   453→\n   454→func (sa *SqliteArchive) Clean(before int64, after int64) {\n   455→\tif after == 0 {\n   456→\t\tafter = math.MaxInt64\n   457→\t}\n   458→\n   459→\tresult, err := sa.db.Exec(\"DELETE FROM jobs WHERE start_time < ? OR start_time > ?\", before, after)\n   460→\tif err != nil {\n   461→\t\tcclog.Fatalf(\"SqliteArchive Clean() > delete error: %s\", err.Error())\n   462→\t}\n   463→\n   464→\trowsAffected, _ := result.RowsAffected()\n   465→\tcclog.Infof(\"SqliteArchive Clean() removed %d jobs\", rowsAffected)\n   466→}\n   467→\n   468→func (sa *SqliteArchive) Compress(jobs []*schema.Job) {\n   469→\tvar cnt int\n   470→\tstart := time.Now()\n   471→\n   472→\ttx, err := sa.db.Begin()\n   473→\tif err != nil {\n   474→\t\tcclog.Errorf(\"SqliteArchive Compress() > transaction error: %v\", err)\n   475→\t\treturn\n   476→\t}\n   477→\tdefer tx.Rollback()\n   478→\n   479→\tstmt, err := tx.Prepare(\"UPDATE jobs SET data_json = ?, data_compressed = 1 WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n   480→\tif err != nil {\n   481→\t\tcclog.Errorf(\"SqliteArchive Compress() > prepare error: %v\", err)\n   482→\t\treturn\n   483→\t}\n   484→\tdefer stmt.Close()\n   485→\n   486→\tfor _, job := range jobs {\n   487→\t\tvar dataBlob []byte\n   488→\t\tvar compressed bool\n   489→\t\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n   490→\t\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n   491→\t\tif err != nil || compressed || len(dataBlob) < 2000 {\n   492→\t\t\tcontinue // Skip if error, already compressed, or too small\n   493→\t\t}\n   494→\n   495→\t\t// Compress the data\n   496→\t\tvar compressedBuf bytes.Buffer\n   497→\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n   498→\t\tif _, err := gzipWriter.Write(dataBlob); err != nil {\n   499→\t\t\tcclog.Errorf(\"SqliteArchive Compress() > gzip error: %v\", err)\n   500→\t\t\tgzipWriter.Close()\n   501→\t\t\tcontinue\n   502→\t\t}\n   503→\t\tgzipWriter.Close()\n   504→\n   505→\t\tif _, err := stmt.Exec(compressedBuf.Bytes(), job.JobID, job.Cluster, job.StartTime); err != nil {\n   506→\t\t\tcclog.Errorf(\"SqliteArchive Compress() > update error: %v\", err)\n   507→\t\t} else {\n   508→\t\t\tcnt++\n   509→\t\t}\n   510→\t}\n   511→\n   512→\tif err := tx.Commit(); err != nil {\n   513→\t\tcclog.Errorf(\"SqliteArchive Compress() > commit error: %v\", err)\n   514→\t\treturn\n   515→\t}\n   516→\n   517→\tcclog.Infof(\"Compression Service - %d jobs in SQLite took %s\", cnt, time.Since(start))\n   518→}\n   519→\n   520→func (sa *SqliteArchive) CompressLast(starttime int64) int64 {\n   521→\tvar lastStr string\n   522→\terr := sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'compress_last'\").Scan(&lastStr)\n   523→\n   524→\tvar last int64\n   525→\tif err == sql.ErrNoRows {\n   526→\t\tlast = starttime\n   527→\t} else if err != nil {\n   528→\t\tcclog.Errorf(\"SqliteArchive CompressLast() > query error: %v\", err)\n   529→\t\tlast = starttime\n   530→\t} else {\n   531→\t\tlast, err = strconv.ParseInt(lastStr, 10, 64)\n   532→\t\tif err != nil {\n   533→\t\t\tcclog.Errorf(\"SqliteArchive CompressLast() > parse error: %v\", err)\n   534→\t\t\tlast = starttime\n   535→\t\t}\n   536→\t}\n   537→\n   538→\tcclog.Infof(\"SqliteArchive CompressLast() - start %d last %d\", starttime, last)\n   539→\n   540→\t// Update timestamp\n   541→\t_, err = sa.db.Exec(`\n   542→\t\tINSERT INTO metadata (key, value) VALUES ('compress_last', ?)\n   543→\t\tON CONFLICT(key) DO UPDATE SET value = excluded.value\n   544→\t`, fmt.Sprintf(\"%d\", starttime))\n   545→\tif err != nil {\n   546→\t\tcclog.Errorf(\"SqliteArchive CompressLast() > update error: %v\", err)\n   547→\t}\n   548→\n   549→\treturn last\n   550→}\n   551→\n   552→type sqliteJobRow struct {\n   553→\tmetaBlob   []byte\n   554→\tdataBlob   []byte\n   555→\tcompressed bool\n   556→}\n   557→\n   558→func (sa *SqliteArchive) Iter(loadMetricData bool) <-chan JobContainer {\n   559→\tch := make(chan JobContainer)\n   560→\n   561→\tgo func() {\n   562→\t\tdefer close(ch)\n   563→\n   564→\t\tconst chunkSize = 1000\n   565→\t\toffset := 0\n   566→\n   567→\t\tvar query string\n   568→\t\tif loadMetricData {\n   569→\t\t\tquery = \"SELECT meta_json, data_json, data_compressed FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n   570→\t\t} else {\n   571→\t\t\tquery = \"SELECT meta_json FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n   572→\t\t}\n   573→\n   574→\t\tnumWorkers := 4\n   575→\t\tjobRows := make(chan sqliteJobRow, numWorkers*2)\n   576→\t\tvar wg sync.WaitGroup\n   577→\n   578→\t\tfor range numWorkers {\n   579→\t\t\twg.Go(func() {\n   580→\t\t\t\tfor row := range jobRows {\n   581→\t\t\t\t\tjob, err := DecodeJobMeta(bytes.NewReader(row.metaBlob))\n   582→\t\t\t\t\tif err != nil {\n   583→\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode meta error: %v\", err)\n   584→\t\t\t\t\t\tcontinue\n   585→\t\t\t\t\t}\n   586→\n   587→\t\t\t\t\tif loadMetricData && row.dataBlob != nil {\n   588→\t\t\t\t\t\tvar reader io.Reader = bytes.NewReader(row.dataBlob)\n   589→\t\t\t\t\t\tif row.compressed {\n   590→\t\t\t\t\t\t\tgzipReader, err := gzip.NewReader(reader)\n   591→\t\t\t\t\t\t\tif err != nil {\n   592→\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > gzip error: %v\", err)\n   593→\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n   594→\t\t\t\t\t\t\t\tcontinue\n   595→\t\t\t\t\t\t\t}\n   596→\t\t\t\t\t\t\tdecompressed, err := io.ReadAll(gzipReader)\n   597→\t\t\t\t\t\t\tgzipReader.Close()\n   598→\t\t\t\t\t\t\tif err != nil {\n   599→\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decompress error: %v\", err)\n   600→\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n   601→\t\t\t\t\t\t\t\tcontinue\n   602→\t\t\t\t\t\t\t}\n   603→\t\t\t\t\t\t\treader = bytes.NewReader(decompressed)\n   604→\t\t\t\t\t\t}\n   605→\n   606→\t\t\t\t\t\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n   607→\t\t\t\t\t\tjobData, err := DecodeJobData(reader, key)\n   608→\t\t\t\t\t\tif err != nil {\n   609→\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode data error: %v\", err)\n   610→\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n   611→\t\t\t\t\t\t} else {\n   612→\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: &jobData}\n   613→\t\t\t\t\t\t}\n   614→\t\t\t\t\t} else {\n   615→\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n   616→\t\t\t\t\t}\n   617→\t\t\t\t}\n   618→\t\t\t})\n   619→\t\t}\n   620→\n   621→\t\tfor {\n   622→\t\t\trows, err := sa.db.Query(query, chunkSize, offset)\n   623→\t\t\tif err != nil {\n   624→\t\t\t\tcclog.Fatalf(\"SqliteArchive Iter() > query error: %s\", err.Error())\n   625→\t\t\t}\n   626→\n   627→\t\t\trowCount := 0\n   628→\t\t\tfor rows.Next() {\n   629→\t\t\t\tvar row sqliteJobRow\n   630→\n   631→\t\t\t\tif loadMetricData {\n   632→\t\t\t\t\tif err := rows.Scan(&row.metaBlob, &row.dataBlob, &row.compressed); err != nil {\n   633→\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n   634→\t\t\t\t\t\tcontinue\n   635→\t\t\t\t\t}\n   636→\t\t\t\t} else {\n   637→\t\t\t\t\tif err := rows.Scan(&row.metaBlob); err != nil {\n   638→\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n   639→\t\t\t\t\t\tcontinue\n   640→\t\t\t\t\t}\n   641→\t\t\t\t\trow.dataBlob = nil\n   642→\t\t\t\t\trow.compressed = false\n   643→\t\t\t\t}\n   644→\n   645→\t\t\t\tjobRows <- row\n   646→\t\t\t\trowCount++\n   647→\t\t\t}\n   648→\t\t\trows.Close()\n   649→\n   650→\t\t\tif rowCount < chunkSize {\n   651→\t\t\t\tbreak\n   652→\t\t\t}\n   653→\n   654→\t\t\toffset += chunkSize\n   655→\t\t}\n   656→\n   657→\t\tclose(jobRows)\n   658→\t\twg.Wait()\n   659→\t}()\n   660→\n   661→\treturn ch\n   662→}\n   663→\n   664→func (sa *SqliteArchive) StoreClusterCfg(name string, config *schema.Cluster) error {\n   665→\tvar configBuf bytes.Buffer\n   666→\tif err := EncodeCluster(&configBuf, config); err != nil {\n   667→\t\tcclog.Error(\"SqliteArchive StoreClusterCfg() > encoding error\")\n   668→\t\treturn err\n   669→\t}\n   670→\n   671→\tnow := time.Now().Unix()\n   672→\t_, err := sa.db.Exec(`\n   673→\t\tINSERT INTO clusters (name, config_json, updated_at)\n   674→\t\tVALUES (?, ?, ?)\n   675→\t\tON CONFLICT(name) DO UPDATE SET\n   676→\t\t\tconfig_json = excluded.config_json,\n   677→\t\t\tupdated_at = excluded.updated_at\n   678→\t`, name, configBuf.Bytes(), now)\n   679→\tif err != nil {\n   680→\t\tcclog.Errorf(\"SqliteArchive StoreClusterCfg() > insert error: %v\", err)\n   681→\t\treturn err\n   682→\t}\n   683→\n   684→\t// Update clusters list if new\n   685→\tfound := slices.Contains(sa.clusters, name)\n   686→\tif !found {\n   687→\t\tsa.clusters = append(sa.clusters, name)\n   688→\t}\n   689→\n   690→\treturn nil\n   691→}\n   692→"}]},"uuid":"d78c0aa3-68bb-42dc-8267-533056b05e92","timestamp":"2026-03-16T10:12:40.468Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/archive/sqliteBackend.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage archive\n\nimport (\n\t\"bytes\"\n\t\"compress/gzip\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"slices\"\n\t\"strconv\"\n\t\"sync\"\n\t\"text/tabwriter\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t_ \"github.com/mattn/go-sqlite3\"\n)\n\n// SqliteArchiveConfig holds the configuration for the SQLite archive backend.\ntype SqliteArchiveConfig struct {\n\tDBPath string `json:\"db-path\"` // Path to SQLite database file\n}\n\n// SqliteArchive implements ArchiveBackend using a SQLite database with BLOB storage.\n// Job metadata and data are stored as JSON BLOBs with indexes for fast queries.\n//\n// Uses WAL (Write-Ahead Logging) mode for better concurrency and a 64MB cache.\ntype SqliteArchive struct {\n\tdb       *sql.DB  // SQLite database connection\n\tclusters []string // List of discovered cluster names\n}\n\n// sqliteSchema defines the database schema for SQLite archive backend.\n// Jobs table: stores job metadata and data as BLOBs with compression flag\n// Clusters table: stores cluster configurations\n// Metadata table: stores version and other key-value pairs\nconst sqliteSchema = `\nCREATE TABLE IF NOT EXISTS jobs (\n    id INTEGER PRIMARY KEY AUTOINCREMENT,\n    job_id INTEGER NOT NULL,\n    cluster TEXT NOT NULL,\n    start_time INTEGER NOT NULL,\n    meta_json BLOB NOT NULL,\n    data_json BLOB,\n    data_compressed BOOLEAN DEFAULT 0,\n    created_at INTEGER NOT NULL,\n    updated_at INTEGER NOT NULL,\n    UNIQUE(job_id, cluster, start_time)\n);\n\nCREATE INDEX IF NOT EXISTS idx_jobs_cluster ON jobs(cluster);\nCREATE INDEX IF NOT EXISTS idx_jobs_start_time ON jobs(start_time);\nCREATE INDEX IF NOT EXISTS idx_jobs_order ON jobs(cluster, start_time);\nCREATE INDEX IF NOT EXISTS idx_jobs_lookup ON jobs(cluster, job_id, start_time);\n\nCREATE TABLE IF NOT EXISTS clusters (\n    name TEXT PRIMARY KEY,\n    config_json BLOB NOT NULL,\n    updated_at INTEGER NOT NULL\n);\n\nCREATE TABLE IF NOT EXISTS metadata (\n    key TEXT PRIMARY KEY,\n    value TEXT NOT NULL\n);\n`\n\nfunc (sa *SqliteArchive) Init(rawConfig json.RawMessage) (uint64, error) {\n\tvar cfg SqliteArchiveConfig\n\tif err := json.Unmarshal(rawConfig, &cfg); err != nil {\n\t\tcclog.Warnf(\"SqliteArchive Init() > Unmarshal error: %#v\", err)\n\t\treturn 0, err\n\t}\n\n\tif cfg.DBPath == \"\" {\n\t\terr := fmt.Errorf(\"SqliteArchive Init(): empty database path\")\n\t\tcclog.Errorf(\"SqliteArchive Init() > config error: %v\", err)\n\t\treturn 0, err\n\t}\n\n\t// Open SQLite database\n\tdb, err := sql.Open(\"sqlite3\", cfg.DBPath)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to open database: %v\", err)\n\t\treturn 0, err\n\t}\n\tsa.db = db\n\n\t// Set pragmas for better performance\n\tpragmas := []string{\n\t\t\"PRAGMA journal_mode=WAL\",\n\t\t\"PRAGMA synchronous=NORMAL\",\n\t\t\"PRAGMA cache_size=-64000\", // 64MB cache\n\t\t\"PRAGMA busy_timeout=5000\",\n\t}\n\tfor _, pragma := range pragmas {\n\t\tif _, err := sa.db.Exec(pragma); err != nil {\n\t\t\tcclog.Warnf(\"SqliteArchive Init() > pragma failed: %v\", err)\n\t\t}\n\t}\n\n\t// Create schema\n\tif _, err := sa.db.Exec(sqliteSchema); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > schema creation failed: %v\", err)\n\t\treturn 0, err\n\t}\n\n\t// Check/set version\n\tvar versionStr string\n\terr = sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'version'\").Scan(&versionStr)\n\tif err == sql.ErrNoRows {\n\t\t// First time initialization, set version\n\t\t_, err = sa.db.Exec(\"INSERT INTO metadata (key, value) VALUES ('version', ?)\", fmt.Sprintf(\"%d\", Version))\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to set version: %v\", err)\n\t\t\treturn 0, err\n\t\t}\n\t\tversionStr = fmt.Sprintf(\"%d\", Version)\n\t} else if err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to read version: %v\", err)\n\t\treturn 0, err\n\t}\n\n\tversion, err := strconv.ParseUint(versionStr, 10, 64)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > version parse error: %v\", err)\n\t\treturn 0, err\n\t}\n\n\tif version != Version {\n\t\treturn version, fmt.Errorf(\"unsupported version %d, need %d\", version, Version)\n\t}\n\n\t// Discover clusters\n\tsa.clusters = []string{}\n\trows, err := sa.db.Query(\"SELECT DISTINCT cluster FROM jobs ORDER BY cluster\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to query clusters: %v\", err)\n\t\treturn 0, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar cluster string\n\t\tif err := rows.Scan(&cluster); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to scan cluster: %v\", err)\n\t\t\tcontinue\n\t\t}\n\t\tsa.clusters = append(sa.clusters, cluster)\n\t}\n\n\tcclog.Infof(\"SqliteArchive initialized with database '%s', found %d clusters\", cfg.DBPath, len(sa.clusters))\n\treturn version, nil\n}\n\nfunc (sa *SqliteArchive) Info() {\n\tfmt.Printf(\"SQLite Job archive database\\n\")\n\n\tci := make(map[string]*clusterInfo)\n\n\trows, err := sa.db.Query(`\n\t\tSELECT cluster, COUNT(*), MIN(start_time), MAX(start_time),\n\t\t       SUM(LENGTH(meta_json) + COALESCE(LENGTH(data_json), 0))\n\t\tFROM jobs\n\t\tGROUP BY cluster\n\t`)\n\tif err != nil {\n\t\tcclog.Fatalf(\"SqliteArchive Info() > query failed: %s\", err.Error())\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar cluster string\n\t\tvar numJobs int\n\t\tvar dateFirst, dateLast int64\n\t\tvar diskSize int64\n\n\t\tif err := rows.Scan(&cluster, &numJobs, &dateFirst, &dateLast, &diskSize); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Info() > scan failed: %v\", err)\n\t\t\tcontinue\n\t\t}\n\n\t\tci[cluster] = &clusterInfo{\n\t\t\tnumJobs:   numJobs,\n\t\t\tdateFirst: dateFirst,\n\t\t\tdateLast:  dateLast,\n\t\t\tdiskSize:  float64(diskSize) / (1024 * 1024), // Convert to MB\n\t\t}\n\t}\n\n\tcit := clusterInfo{dateFirst: time.Now().Unix()}\n\tw := tabwriter.NewWriter(os.Stdout, 0, 0, 2, ' ', tabwriter.Debug)\n\tfmt.Fprintln(w, \"cluster\\t#jobs\\tfrom\\tto\\tsize (MB)\")\n\tfor cluster, clusterInfo := range ci {\n\t\tfmt.Fprintf(w, \"%s\\t%d\\t%s\\t%s\\t%.2f\\n\", cluster,\n\t\t\tclusterInfo.numJobs,\n\t\t\ttime.Unix(clusterInfo.dateFirst, 0),\n\t\t\ttime.Unix(clusterInfo.dateLast, 0),\n\t\t\tclusterInfo.diskSize)\n\n\t\tcit.numJobs += clusterInfo.numJobs\n\t\tcit.dateFirst = util.Min(cit.dateFirst, clusterInfo.dateFirst)\n\t\tcit.dateLast = util.Max(cit.dateLast, clusterInfo.dateLast)\n\t\tcit.diskSize += clusterInfo.diskSize\n\t}\n\n\tfmt.Fprintf(w, \"TOTAL\\t%d\\t%s\\t%s\\t%.2f\\n\",\n\t\tcit.numJobs, time.Unix(cit.dateFirst, 0), time.Unix(cit.dateLast, 0), cit.diskSize)\n\tw.Flush()\n}\n\nfunc (sa *SqliteArchive) Exists(job *schema.Job) bool {\n\tvar count int\n\terr := sa.db.QueryRow(\"SELECT COUNT(*) FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&count)\n\treturn err == nil && count > 0\n}\n\nfunc (sa *SqliteArchive) LoadJobMeta(job *schema.Job) (*schema.Job, error) {\n\tvar metaBlob []byte\n\terr := sa.db.QueryRow(\"SELECT meta_json FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&metaBlob)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobMeta() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif config.Keys.Validate {\n\t\tif err := schema.Validate(schema.Meta, bytes.NewReader(metaBlob)); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"validate job meta: %v\", err)\n\t\t}\n\t}\n\n\treturn DecodeJobMeta(bytes.NewReader(metaBlob))\n}\n\nfunc (sa *SqliteArchive) LoadJobData(job *schema.Job) (schema.JobData, error) {\n\tvar dataBlob []byte\n\tvar compressed bool\n\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\n\tvar reader io.Reader = bytes.NewReader(dataBlob)\n\tif compressed {\n\t\tgzipReader, err := gzip.NewReader(reader)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > gzip error: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\tdefer gzipReader.Close()\n\t\treader = gzipReader\n\t}\n\n\tif config.Keys.Validate {\n\t\tdata, _ := io.ReadAll(reader)\n\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n\t\t\treturn schema.JobData{}, fmt.Errorf(\"validate job data: %v\", err)\n\t\t}\n\t\treturn DecodeJobData(bytes.NewReader(data), key)\n\t}\n\n\treturn DecodeJobData(reader, key)\n}\n\nfunc (sa *SqliteArchive) LoadJobStats(job *schema.Job) (schema.ScopedJobStats, error) {\n\tvar dataBlob []byte\n\tvar compressed bool\n\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\n\tvar reader io.Reader = bytes.NewReader(dataBlob)\n\tif compressed {\n\t\tgzipReader, err := gzip.NewReader(reader)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > gzip error: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\tdefer gzipReader.Close()\n\t\treader = gzipReader\n\t}\n\n\tif config.Keys.Validate {\n\t\tdata, _ := io.ReadAll(reader)\n\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"validate job data: %v\", err)\n\t\t}\n\t\treturn DecodeJobStats(bytes.NewReader(data), key)\n\t}\n\n\treturn DecodeJobStats(reader, key)\n}\n\nfunc (sa *SqliteArchive) LoadClusterCfg(name string) (*schema.Cluster, error) {\n\tvar configBlob []byte\n\terr := sa.db.QueryRow(\"SELECT config_json FROM clusters WHERE name = ?\", name).Scan(&configBlob)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadClusterCfg() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif config.Keys.Validate {\n\t\tif err := schema.Validate(schema.ClusterCfg, bytes.NewReader(configBlob)); err != nil {\n\t\t\tcclog.Warnf(\"Validate cluster config: %v\\n\", err)\n\t\t\treturn &schema.Cluster{}, fmt.Errorf(\"validate cluster config: %v\", err)\n\t\t}\n\t}\n\n\treturn DecodeCluster(bytes.NewReader(configBlob))\n}\n\nfunc (sa *SqliteArchive) StoreJobMeta(job *schema.Job) error {\n\tvar metaBuf bytes.Buffer\n\tif err := EncodeJobMeta(&metaBuf, job); err != nil {\n\t\tcclog.Error(\"SqliteArchive StoreJobMeta() > encoding error\")\n\t\treturn err\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, created_at, updated_at)\n\t\tVALUES (?, ?, ?, ?, ?, ?)\n\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n\t\t\tmeta_json = excluded.meta_json,\n\t\t\tupdated_at = excluded.updated_at\n\t`, job.JobID, job.Cluster, job.StartTime, metaBuf.Bytes(), now, now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive StoreJobMeta() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (sa *SqliteArchive) ImportJob(jobMeta *schema.Job, jobData *schema.JobData) error {\n\tvar metaBuf, dataBuf bytes.Buffer\n\tif err := EncodeJobMeta(&metaBuf, jobMeta); err != nil {\n\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding meta error\")\n\t\treturn err\n\t}\n\tif err := EncodeJobData(&dataBuf, jobData); err != nil {\n\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding data error\")\n\t\treturn err\n\t}\n\n\tvar dataBytes []byte\n\tvar compressed bool\n\n\tif dataBuf.Len() > 2000 {\n\t\tvar compressedBuf bytes.Buffer\n\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n\t\tif _, err := gzipWriter.Write(dataBuf.Bytes()); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip write error: %v\", err)\n\t\t\treturn err\n\t\t}\n\t\tif err := gzipWriter.Close(); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip close error: %v\", err)\n\t\t\treturn err\n\t\t}\n\t\tdataBytes = compressedBuf.Bytes()\n\t\tcompressed = true\n\t} else {\n\t\tdataBytes = dataBuf.Bytes()\n\t\tcompressed = false\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, data_json, data_compressed, created_at, updated_at)\n\t\tVALUES (?, ?, ?, ?, ?, ?, ?, ?)\n\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n\t\t\tmeta_json = excluded.meta_json,\n\t\t\tdata_json = excluded.data_json,\n\t\t\tdata_compressed = excluded.data_compressed,\n\t\t\tupdated_at = excluded.updated_at\n\t`, jobMeta.JobID, jobMeta.Cluster, jobMeta.StartTime, metaBuf.Bytes(), dataBytes, compressed, now, now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive ImportJob() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (sa *SqliteArchive) GetClusters() []string {\n\treturn sa.clusters\n}\n\nfunc (sa *SqliteArchive) CleanUp(jobs []*schema.Job) {\n\tstart := time.Now()\n\tcount := 0\n\n\ttx, err := sa.db.Begin()\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > transaction error: %v\", err)\n\t\treturn\n\t}\n\tdefer tx.Rollback()\n\n\tstmt, err := tx.Prepare(\"DELETE FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > prepare error: %v\", err)\n\t\treturn\n\t}\n\tdefer stmt.Close()\n\n\tfor _, job := range jobs {\n\t\tif job == nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() error: job is nil\")\n\t\t\tcontinue\n\t\t}\n\n\t\tif _, err := stmt.Exec(job.JobID, job.Cluster, job.StartTime); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() > delete error: %v\", err)\n\t\t} else {\n\t\t\tcount++\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > commit error: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Retention Service - Remove %d jobs from SQLite in %s\", count, time.Since(start))\n}\n\nfunc (sa *SqliteArchive) Move(jobs []*schema.Job, targetPath string) {\n\t// For SQLite, \"move\" means updating the cluster field or similar\n\t// This is interpretation-dependent; for now we'll just log\n\tcclog.Warnf(\"SqliteArchive Move() is not fully implemented - moves within database not applicable\")\n}\n\nfunc (sa *SqliteArchive) Clean(before int64, after int64) {\n\tif after == 0 {\n\t\tafter = math.MaxInt64\n\t}\n\n\tresult, err := sa.db.Exec(\"DELETE FROM jobs WHERE start_time < ? OR start_time > ?\", before, after)\n\tif err != nil {\n\t\tcclog.Fatalf(\"SqliteArchive Clean() > delete error: %s\", err.Error())\n\t}\n\n\trowsAffected, _ := result.RowsAffected()\n\tcclog.Infof(\"SqliteArchive Clean() removed %d jobs\", rowsAffected)\n}\n\nfunc (sa *SqliteArchive) Compress(jobs []*schema.Job) {\n\tvar cnt int\n\tstart := time.Now()\n\n\ttx, err := sa.db.Begin()\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > transaction error: %v\", err)\n\t\treturn\n\t}\n\tdefer tx.Rollback()\n\n\tstmt, err := tx.Prepare(\"UPDATE jobs SET data_json = ?, data_compressed = 1 WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > prepare error: %v\", err)\n\t\treturn\n\t}\n\tdefer stmt.Close()\n\n\tfor _, job := range jobs {\n\t\tvar dataBlob []byte\n\t\tvar compressed bool\n\t\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\t\tif err != nil || compressed || len(dataBlob) < 2000 {\n\t\t\tcontinue // Skip if error, already compressed, or too small\n\t\t}\n\n\t\t// Compress the data\n\t\tvar compressedBuf bytes.Buffer\n\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n\t\tif _, err := gzipWriter.Write(dataBlob); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Compress() > gzip error: %v\", err)\n\t\t\tgzipWriter.Close()\n\t\t\tcontinue\n\t\t}\n\t\tgzipWriter.Close()\n\n\t\tif _, err := stmt.Exec(compressedBuf.Bytes(), job.JobID, job.Cluster, job.StartTime); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Compress() > update error: %v\", err)\n\t\t} else {\n\t\t\tcnt++\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > commit error: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Compression Service - %d jobs in SQLite took %s\", cnt, time.Since(start))\n}\n\nfunc (sa *SqliteArchive) CompressLast(starttime int64) int64 {\n\tvar lastStr string\n\terr := sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'compress_last'\").Scan(&lastStr)\n\n\tvar last int64\n\tif err == sql.ErrNoRows {\n\t\tlast = starttime\n\t} else if err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CompressLast() > query error: %v\", err)\n\t\tlast = starttime\n\t} else {\n\t\tlast, err = strconv.ParseInt(lastStr, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CompressLast() > parse error: %v\", err)\n\t\t\tlast = starttime\n\t\t}\n\t}\n\n\tcclog.Infof(\"SqliteArchive CompressLast() - start %d last %d\", starttime, last)\n\n\t// Update timestamp\n\t_, err = sa.db.Exec(`\n\t\tINSERT INTO metadata (key, value) VALUES ('compress_last', ?)\n\t\tON CONFLICT(key) DO UPDATE SET value = excluded.value\n\t`, fmt.Sprintf(\"%d\", starttime))\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CompressLast() > update error: %v\", err)\n\t}\n\n\treturn last\n}\n\ntype sqliteJobRow struct {\n\tmetaBlob   []byte\n\tdataBlob   []byte\n\tcompressed bool\n}\n\nfunc (sa *SqliteArchive) Iter(loadMetricData bool) <-chan JobContainer {\n\tch := make(chan JobContainer)\n\n\tgo func() {\n\t\tdefer close(ch)\n\n\t\tconst chunkSize = 1000\n\t\toffset := 0\n\n\t\tvar query string\n\t\tif loadMetricData {\n\t\t\tquery = \"SELECT meta_json, data_json, data_compressed FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n\t\t} else {\n\t\t\tquery = \"SELECT meta_json FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n\t\t}\n\n\t\tnumWorkers := 4\n\t\tjobRows := make(chan sqliteJobRow, numWorkers*2)\n\t\tvar wg sync.WaitGroup\n\n\t\tfor range numWorkers {\n\t\t\twg.Go(func() {\n\t\t\t\tfor row := range jobRows {\n\t\t\t\t\tjob, err := DecodeJobMeta(bytes.NewReader(row.metaBlob))\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode meta error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\n\t\t\t\t\tif loadMetricData && row.dataBlob != nil {\n\t\t\t\t\t\tvar reader io.Reader = bytes.NewReader(row.dataBlob)\n\t\t\t\t\t\tif row.compressed {\n\t\t\t\t\t\t\tgzipReader, err := gzip.NewReader(reader)\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > gzip error: %v\", err)\n\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tdecompressed, err := io.ReadAll(gzipReader)\n\t\t\t\t\t\t\tgzipReader.Close()\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decompress error: %v\", err)\n\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\treader = bytes.NewReader(decompressed)\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\t\t\t\t\t\tjobData, err := DecodeJobData(reader, key)\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode data error: %v\", err)\n\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: &jobData}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else {\n\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\n\t\tfor {\n\t\t\trows, err := sa.db.Query(query, chunkSize, offset)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Fatalf(\"SqliteArchive Iter() > query error: %s\", err.Error())\n\t\t\t}\n\n\t\t\trowCount := 0\n\t\t\tfor rows.Next() {\n\t\t\t\tvar row sqliteJobRow\n\n\t\t\t\tif loadMetricData {\n\t\t\t\t\tif err := rows.Scan(&row.metaBlob, &row.dataBlob, &row.compressed); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif err := rows.Scan(&row.metaBlob); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\trow.dataBlob = nil\n\t\t\t\t\trow.compressed = false\n\t\t\t\t}\n\n\t\t\t\tjobRows <- row\n\t\t\t\trowCount++\n\t\t\t}\n\t\t\trows.Close()\n\n\t\t\tif rowCount < chunkSize {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\toffset += chunkSize\n\t\t}\n\n\t\tclose(jobRows)\n\t\twg.Wait()\n\t}()\n\n\treturn ch\n}\n\nfunc (sa *SqliteArchive) StoreClusterCfg(name string, config *schema.Cluster) error {\n\tvar configBuf bytes.Buffer\n\tif err := EncodeCluster(&configBuf, config); err != nil {\n\t\tcclog.Error(\"SqliteArchive StoreClusterCfg() > encoding error\")\n\t\treturn err\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO clusters (name, config_json, updated_at)\n\t\tVALUES (?, ?, ?)\n\t\tON CONFLICT(name) DO UPDATE SET\n\t\t\tconfig_json = excluded.config_json,\n\t\t\tupdated_at = excluded.updated_at\n\t`, name, configBuf.Bytes(), now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive StoreClusterCfg() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\t// Update clusters list if new\n\tfound := slices.Contains(sa.clusters, name)\n\tif !found {\n\t\tsa.clusters = append(sa.clusters, name)\n\t}\n\n\treturn nil\n}\n","numLines":692,"startLine":1,"totalLines":692}},"sourceToolAssistantUUID":"641c9a76-91d8-4156-a19d-7ccb6d93cf69","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"d8f1148f-83ce-49d1-8a7f-4e6531306bf4","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RUChJr4277fRqYrmyucysh","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"database/sql\"\n    11→\t\"encoding/json\"\n    12→\t\"fmt\"\n    13→\t\"slices\"\n    14→\t\"sort\"\n    15→\t\"strings\"\n    16→\t\"sync\"\n    17→\t\"time\"\n    18→\n    19→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    20→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n    23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    24→\tsq \"github.com/Masterminds/squirrel\"\n    25→\t\"github.com/jmoiron/sqlx\"\n    26→)\n    27→\n    28→var (\n    29→\tnodeRepoOnce     sync.Once\n    30→\tnodeRepoInstance *NodeRepository\n    31→)\n    32→\n    33→type NodeRepository struct {\n    34→\tDB        *sqlx.DB\n    35→\tstmtCache *sq.StmtCache\n    36→\tcache     *lrucache.Cache\n    37→\tdriver    string\n    38→}\n    39→\n    40→func GetNodeRepository() *NodeRepository {\n    41→\tnodeRepoOnce.Do(func() {\n    42→\t\tdb := GetConnection()\n    43→\n    44→\t\tnodeRepoInstance = &NodeRepository{\n    45→\t\t\tDB:     db.DB,\n    46→\t\t\tdriver: db.Driver,\n    47→\n    48→\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n    49→\t\t\tcache:     lrucache.New(repoConfig.CacheSize),\n    50→\t\t}\n    51→\t})\n    52→\treturn nodeRepoInstance\n    53→}\n    54→\n    55→// latestStateCondition returns a squirrel expression that restricts node_state\n    56→// rows to the latest per node_id using a correlated subquery.\n    57→// Requires the query to join node and node_state tables.\n    58→func latestStateCondition() sq.Sqlizer {\n    59→\treturn sq.Expr(\n    60→\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n    61→\t)\n    62→}\n    63→\n    64→// applyNodeFilters applies common NodeFilter conditions to a query that joins\n    65→// the node and node_state tables with latestStateCondition.\n    66→func applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n    67→\tfor _, f := range filters {\n    68→\t\tif f.Cluster != nil {\n    69→\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n    70→\t\t}\n    71→\t\tif f.SubCluster != nil {\n    72→\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n    73→\t\t}\n    74→\t\tif f.Hostname != nil {\n    75→\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n    76→\t\t}\n    77→\t\tif f.SchedulerState != nil {\n    78→\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n    79→\t\t}\n    80→\t\tif f.HealthState != nil {\n    81→\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n    82→\t\t}\n    83→\t}\n    84→\treturn query\n    85→}\n    86→\n    87→func (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n    88→\tstart := time.Now()\n    89→\n    90→\tRawMetaData := make([]byte, 0)\n    91→\n    92→\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n    93→\t\tWhere(\"node.hostname = ?\", hostname).\n    94→\t\tWhere(\"node.cluster = ?\", cluster).\n    95→\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n    96→\t\tcclog.Warn(\"Error while scanning for node metadata\")\n    97→\t\treturn nil, err\n    98→\t}\n    99→\n   100→\tif len(RawMetaData) == 0 {\n   101→\t\treturn nil, nil\n   102→\t}\n   103→\n   104→\tMetaData := make(map[string]string)\n   105→\n   106→\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n   107→\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n   108→\t\treturn nil, err\n   109→\t}\n   110→\n   111→\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n   112→\treturn MetaData, nil\n   113→}\n   114→\n   115→func (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n   116→\tnode := &schema.Node{}\n   117→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   118→\t\t\"node_state.node_state\", \"node_state.health_state\").\n   119→\t\tFrom(\"node\").\n   120→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   121→\t\tWhere(latestStateCondition()).\n   122→\t\tWhere(\"node.hostname = ?\", hostname).\n   123→\t\tWhere(\"node.cluster = ?\", cluster).\n   124→\t\tRunWith(r.DB).\n   125→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n   126→\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n   127→\t\treturn nil, err\n   128→\t}\n   129→\n   130→\tif withMeta {\n   131→\t\tvar err error\n   132→\t\tvar meta map[string]string\n   133→\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n   134→\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n   135→\t\t\treturn nil, err\n   136→\t\t}\n   137→\t\tnode.MetaData = meta\n   138→\t}\n   139→\n   140→\treturn node, nil\n   141→}\n   142→\n   143→func (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n   144→\tnode := &schema.Node{}\n   145→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   146→\t\t\"node_state.node_state\", \"node_state.health_state\").\n   147→\t\tFrom(\"node\").\n   148→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   149→\t\tWhere(latestStateCondition()).\n   150→\t\tWhere(\"node.id = ?\", id).\n   151→\t\tRunWith(r.DB).\n   152→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n   153→\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n   154→\t\treturn nil, err\n   155→\t}\n   156→\n   157→\tif withMeta {\n   158→\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n   159→\t\tif metaErr != nil {\n   160→\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n   161→\t\t\treturn nil, metaErr\n   162→\t\t}\n   163→\t\tnode.MetaData = meta\n   164→\t}\n   165→\n   166→\treturn node, nil\n   167→}\n   168→\n   169→// const NamedNodeInsert string = `\n   170→// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n   171→//\n   172→//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n   173→//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n   174→//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n   175→\n   176→const NamedNodeInsert string = `\n   177→INSERT INTO node (hostname, cluster, subcluster)\n   178→\tVALUES (:hostname, :cluster, :subcluster);`\n   179→\n   180→// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n   181→// from a nodestate update from the job scheduler.\n   182→func (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n   183→\tvar err error\n   184→\n   185→\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n   186→\tif err != nil {\n   187→\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n   188→\t\treturn 0, err\n   189→\t}\n   190→\tnode.ID, err = res.LastInsertId()\n   191→\tif err != nil {\n   192→\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n   193→\t\treturn 0, err\n   194→\t}\n   195→\n   196→\treturn node.ID, nil\n   197→}\n   198→\n   199→const NamedNodeStateInsert string = `\n   200→INSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n   201→\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n   202→\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n   203→\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n   204→\n   205→// TODO: Add real Monitoring Health State\n   206→\n   207→// UpdateNodeState is called from the Node REST API to add a row in the node state table\n   208→func (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n   209→\tvar id int64\n   210→\n   211→\tif err := sq.Select(\"id\").From(\"node\").\n   212→\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n   213→\t\tQueryRow().Scan(&id); err != nil {\n   214→\t\tif err == sql.ErrNoRows {\n   215→\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n   216→\t\t\tif err != nil {\n   217→\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n   218→\t\t\t\treturn err\n   219→\t\t\t}\n   220→\t\t\tnode := schema.NodeDB{\n   221→\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n   222→\t\t\t}\n   223→\t\t\tid, err = r.AddNode(&node)\n   224→\t\t\tif err != nil {\n   225→\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n   226→\t\t\t\treturn err\n   227→\t\t\t}\n   228→\n   229→\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n   230→\t\t} else {\n   231→\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n   232→\t\t\treturn err\n   233→\t\t}\n   234→\t}\n   235→\n   236→\tnodeState.NodeID = id\n   237→\n   238→\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n   239→\tif err != nil {\n   240→\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n   241→\t\treturn err\n   242→\t}\n   243→\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n   244→\treturn nil\n   245→}\n   246→\n   247→// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n   248→// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n   249→// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n   250→// \t\treturn err\n   251→// \t}\n   252→//\n   253→// \treturn nil\n   254→// }\n   255→\n   256→// NodeStateWithNode combines a node state row with denormalized node info.\n   257→type NodeStateWithNode struct {\n   258→\tID              int64  `db:\"id\"`\n   259→\tTimeStamp       int64  `db:\"time_stamp\"`\n   260→\tNodeState       string `db:\"node_state\"`\n   261→\tHealthState     string `db:\"health_state\"`\n   262→\tHealthMetrics   string `db:\"health_metrics\"`\n   263→\tCpusAllocated   int    `db:\"cpus_allocated\"`\n   264→\tMemoryAllocated int64  `db:\"memory_allocated\"`\n   265→\tGpusAllocated   int    `db:\"gpus_allocated\"`\n   266→\tJobsRunning     int    `db:\"jobs_running\"`\n   267→\tHostname        string `db:\"hostname\"`\n   268→\tCluster         string `db:\"cluster\"`\n   269→\tSubCluster      string `db:\"subcluster\"`\n   270→}\n   271→\n   272→// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n   273→// joined with node info for denormalized archiving.\n   274→func (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n   275→\trows, err := sq.Select(\n   276→\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n   277→\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n   278→\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n   279→\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n   280→\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   281→\t).\n   282→\t\tFrom(\"node_state\").\n   283→\t\tJoin(\"node ON node_state.node_id = node.id\").\n   284→\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n   285→\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n   286→\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n   287→\t\tRunWith(r.DB).Query()\n   288→\tif err != nil {\n   289→\t\treturn nil, err\n   290→\t}\n   291→\tdefer rows.Close()\n   292→\n   293→\tvar result []NodeStateWithNode\n   294→\tfor rows.Next() {\n   295→\t\tvar ns NodeStateWithNode\n   296→\t\tvar healthMetrics sql.NullString\n   297→\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n   298→\t\t\t&ns.HealthState, &healthMetrics,\n   299→\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n   300→\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n   301→\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n   302→\t\t\treturn nil, err\n   303→\t\t}\n   304→\t\tns.HealthMetrics = healthMetrics.String\n   305→\t\tresult = append(result, ns)\n   306→\t}\n   307→\treturn result, nil\n   308→}\n   309→\n   310→// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n   311→// but always preserves the row with the latest timestamp per node_id.\n   312→func (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n   313→\tres, err := r.DB.Exec(\n   314→\t\t`DELETE FROM node_state WHERE time_stamp < ?\n   315→\t\t AND id NOT IN (\n   316→\t\t   SELECT id FROM node_state ns2\n   317→\t\t   WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n   318→\t\t )`,\n   319→\t\tcutoff,\n   320→\t)\n   321→\tif err != nil {\n   322→\t\treturn 0, err\n   323→\t}\n   324→\treturn res.RowsAffected()\n   325→}\n   326→\n   327→func (r *NodeRepository) DeleteNode(id int64) error {\n   328→\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n   329→\tif err != nil {\n   330→\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n   331→\t\treturn err\n   332→\t}\n   333→\tcclog.Infof(\"deleted node '%d' from DB\", id)\n   334→\treturn nil\n   335→}\n   336→\n   337→// QueryNodes returns a list of nodes based on a node filter. It always operates\n   338→// on the last state (largest timestamp).\n   339→func (r *NodeRepository) QueryNodes(\n   340→\tctx context.Context,\n   341→\tfilters []*model.NodeFilter,\n   342→\tpage *model.PageRequest,\n   343→\torder *model.OrderByInput, // Currently unused!\n   344→) ([]*schema.Node, error) {\n   345→\tquery, qerr := AccessCheck(ctx,\n   346→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   347→\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n   348→\t\t\tFrom(\"node\").\n   349→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   350→\t\t\tWhere(latestStateCondition()))\n   351→\tif qerr != nil {\n   352→\t\treturn nil, qerr\n   353→\t}\n   354→\n   355→\tquery = applyNodeFilters(query, filters)\n   356→\tquery = query.OrderBy(\"node.hostname ASC\")\n   357→\n   358→\tif page != nil && page.ItemsPerPage != -1 {\n   359→\t\tlimit := uint64(page.ItemsPerPage)\n   360→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n   361→\t}\n   362→\n   363→\trows, err := query.RunWith(r.stmtCache).Query()\n   364→\tif err != nil {\n   365→\t\tqueryString, queryVars, _ := query.ToSql()\n   366→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   367→\t\treturn nil, err\n   368→\t}\n   369→\tdefer rows.Close()\n   370→\n   371→\tnodes := make([]*schema.Node, 0)\n   372→\tfor rows.Next() {\n   373→\t\tnode := schema.Node{}\n   374→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n   375→\t\t\t&node.NodeState, &node.HealthState); err != nil {\n   376→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n   377→\t\t\treturn nil, err\n   378→\t\t}\n   379→\t\tnodes = append(nodes, &node)\n   380→\t}\n   381→\n   382→\tif err := rows.Err(); err != nil {\n   383→\t\treturn nil, err\n   384→\t}\n   385→\n   386→\treturn nodes, nil\n   387→}\n   388→\n   389→// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n   390→// on the last state (largest timestamp). It includes both (!) optional JSON column data\n   391→func (r *NodeRepository) QueryNodesWithMeta(\n   392→\tctx context.Context,\n   393→\tfilters []*model.NodeFilter,\n   394→\tpage *model.PageRequest,\n   395→\torder *model.OrderByInput, // Currently unused!\n   396→) ([]*schema.Node, error) {\n   397→\tquery, qerr := AccessCheck(ctx,\n   398→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   399→\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n   400→\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n   401→\t\t\tFrom(\"node\").\n   402→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   403→\t\t\tWhere(latestStateCondition()))\n   404→\tif qerr != nil {\n   405→\t\treturn nil, qerr\n   406→\t}\n   407→\n   408→\tquery = applyNodeFilters(query, filters)\n   409→\tquery = query.OrderBy(\"node.hostname ASC\")\n   410→\n   411→\tif page != nil && page.ItemsPerPage != -1 {\n   412→\t\tlimit := uint64(page.ItemsPerPage)\n   413→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n   414→\t}\n   415→\n   416→\trows, err := query.RunWith(r.stmtCache).Query()\n   417→\tif err != nil {\n   418→\t\tqueryString, queryVars, _ := query.ToSql()\n   419→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   420→\t\treturn nil, err\n   421→\t}\n   422→\tdefer rows.Close()\n   423→\n   424→\tnodes := make([]*schema.Node, 0)\n   425→\tfor rows.Next() {\n   426→\t\tnode := schema.Node{}\n   427→\t\tRawMetaData := make([]byte, 0)\n   428→\t\tRawMetricHealth := make([]byte, 0)\n   429→\n   430→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n   431→\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n   432→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n   433→\t\t\treturn nil, err\n   434→\t\t}\n   435→\n   436→\t\tif len(RawMetaData) == 0 {\n   437→\t\t\tnode.MetaData = nil\n   438→\t\t} else {\n   439→\t\t\tmetaData := make(map[string]string)\n   440→\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n   441→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n   442→\t\t\t\treturn nil, err\n   443→\t\t\t}\n   444→\t\t\tnode.MetaData = metaData\n   445→\t\t}\n   446→\n   447→\t\tif len(RawMetricHealth) == 0 {\n   448→\t\t\tnode.HealthData = nil\n   449→\t\t} else {\n   450→\t\t\thealthData := make(map[string][]string)\n   451→\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n   452→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n   453→\t\t\t\treturn nil, err\n   454→\t\t\t}\n   455→\t\t\tnode.HealthData = healthData\n   456→\t\t}\n   457→\n   458→\t\tnodes = append(nodes, &node)\n   459→\t}\n   460→\n   461→\tif err := rows.Err(); err != nil {\n   462→\t\treturn nil, err\n   463→\t}\n   464→\n   465→\treturn nodes, nil\n   466→}\n   467→\n   468→// CountNodes returns the total matched nodes based on a node filter. It always operates\n   469→// on the last state (largest timestamp) per node.\n   470→func (r *NodeRepository) CountNodes(\n   471→\tctx context.Context,\n   472→\tfilters []*model.NodeFilter,\n   473→) (int, error) {\n   474→\tquery, qerr := AccessCheck(ctx,\n   475→\t\tsq.Select(\"COUNT(*)\").\n   476→\t\t\tFrom(\"node\").\n   477→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   478→\t\t\tWhere(latestStateCondition()))\n   479→\tif qerr != nil {\n   480→\t\treturn 0, qerr\n   481→\t}\n   482→\n   483→\tquery = applyNodeFilters(query, filters)\n   484→\n   485→\tvar count int\n   486→\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n   487→\t\tqueryString, queryVars, _ := query.ToSql()\n   488→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   489→\t\treturn 0, err\n   490→\t}\n   491→\n   492→\treturn count, nil\n   493→}\n   494→\n   495→func (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n   496→\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   497→\t\t\"node_state.node_state\", \"node_state.health_state\").\n   498→\t\tFrom(\"node\").\n   499→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   500→\t\tWhere(latestStateCondition()).\n   501→\t\tWhere(\"node.cluster = ?\", cluster).\n   502→\t\tOrderBy(\"node.hostname ASC\")\n   503→\n   504→\trows, err := q.RunWith(r.DB).Query()\n   505→\tif err != nil {\n   506→\t\tcclog.Warn(\"Error while querying node list\")\n   507→\t\treturn nil, err\n   508→\t}\n   509→\tnodeList := make([]*schema.Node, 0, 100)\n   510→\tdefer rows.Close()\n   511→\tfor rows.Next() {\n   512→\t\tnode := &schema.Node{}\n   513→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n   514→\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n   515→\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n   516→\t\t\treturn nil, err\n   517→\t\t}\n   518→\n   519→\t\tnodeList = append(nodeList, node)\n   520→\t}\n   521→\n   522→\treturn nodeList, nil\n   523→}\n   524→\n   525→func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n   526→\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n   527→\t\tFrom(\"node\").\n   528→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   529→\t\tWhere(latestStateCondition()).\n   530→\t\tWhere(\"node.cluster = ?\", cluster).\n   531→\t\tOrderBy(\"node.hostname ASC\")\n   532→\n   533→\trows, err := q.RunWith(r.DB).Query()\n   534→\tif err != nil {\n   535→\t\tcclog.Warn(\"Error while querying node list\")\n   536→\t\treturn nil, err\n   537→\t}\n   538→\n   539→\tstateMap := make(map[string]string)\n   540→\tdefer rows.Close()\n   541→\tfor rows.Next() {\n   542→\t\tvar hostname, nodestate string\n   543→\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n   544→\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n   545→\t\t\treturn nil, err\n   546→\t\t}\n   547→\n   548→\t\tstateMap[hostname] = nodestate\n   549→\t}\n   550→\n   551→\treturn stateMap, nil\n   552→}\n   553→\n   554→func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n   555→\tquery, qerr := AccessCheck(ctx,\n   556→\t\tsq.Select(column, \"COUNT(*) as count\").\n   557→\t\t\tFrom(\"node\").\n   558→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   559→\t\t\tWhere(latestStateCondition()).\n   560→\t\t\tGroupBy(column))\n   561→\tif qerr != nil {\n   562→\t\treturn nil, qerr\n   563→\t}\n   564→\n   565→\tquery = applyNodeFilters(query, filters)\n   566→\n   567→\trows, err := query.RunWith(r.stmtCache).Query()\n   568→\tif err != nil {\n   569→\t\tqueryString, queryVars, _ := query.ToSql()\n   570→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   571→\t\treturn nil, err\n   572→\t}\n   573→\tdefer rows.Close()\n   574→\n   575→\tnodes := make([]*model.NodeStates, 0)\n   576→\tfor rows.Next() {\n   577→\t\tvar state string\n   578→\t\tvar count int\n   579→\t\tif err := rows.Scan(&state, &count); err != nil {\n   580→\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n   581→\t\t\treturn nil, err\n   582→\t\t}\n   583→\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n   584→\t}\n   585→\n   586→\tif err := rows.Err(); err != nil {\n   587→\t\treturn nil, err\n   588→\t}\n   589→\n   590→\treturn nodes, nil\n   591→}\n   592→\n   593→func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n   594→\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n   595→\tif qerr != nil {\n   596→\t\treturn nil, qerr\n   597→\t}\n   598→\n   599→\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n   600→\n   601→\tfor _, f := range filters {\n   602→\t\t// Required\n   603→\t\tif f.TimeStart != nil {\n   604→\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n   605→\t\t}\n   606→\t\t// Optional\n   607→\t\tif f.Hostname != nil {\n   608→\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n   609→\t\t}\n   610→\t\tif f.Cluster != nil {\n   611→\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n   612→\t\t}\n   613→\t\tif f.SubCluster != nil {\n   614→\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n   615→\t\t}\n   616→\t\tif f.SchedulerState != nil {\n   617→\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n   618→\t\t}\n   619→\t\tif f.HealthState != nil {\n   620→\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n   621→\t\t}\n   622→\t}\n   623→\n   624→\t// Add Group and Order\n   625→\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n   626→\n   627→\trows, err := query.RunWith(r.stmtCache).Query()\n   628→\tif err != nil {\n   629→\t\tqueryString, queryVars, _ := query.ToSql()\n   630→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   631→\t\treturn nil, err\n   632→\t}\n   633→\tdefer rows.Close()\n   634→\n   635→\trawData := make(map[string][][]int)\n   636→\tfor rows.Next() {\n   637→\t\tvar state string\n   638→\t\tvar timestamp, count int\n   639→\n   640→\t\tif err := rows.Scan(&state, &timestamp, &count); err != nil {\n   641→\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n   642→\t\t\treturn nil, err\n   643→\t\t}\n   644→\n   645→\t\tif rawData[state] == nil {\n   646→\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n   647→\t\t}\n   648→\n   649→\t\trawData[state][0] = append(rawData[state][0], timestamp)\n   650→\t\trawData[state][1] = append(rawData[state][1], count)\n   651→\t}\n   652→\n   653→\tif err := rows.Err(); err != nil {\n   654→\t\treturn nil, err\n   655→\t}\n   656→\n   657→\ttimedStates := make([]*model.NodeStatesTimed, 0)\n   658→\tfor state, data := range rawData {\n   659→\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n   660→\t\ttimedStates = append(timedStates, &entry)\n   661→\t}\n   662→\n   663→\treturn timedStates, nil\n   664→}\n   665→\n   666→func (r *NodeRepository) GetNodesForList(\n   667→\tctx context.Context,\n   668→\tcluster string,\n   669→\tsubCluster string,\n   670→\tstateFilter string,\n   671→\tnodeFilter string,\n   672→\tpage *model.PageRequest,\n   673→) ([]string, map[string]string, int, bool, error) {\n   674→\t// Init Return Vars\n   675→\tnodes := make([]string, 0)\n   676→\tstateMap := make(map[string]string)\n   677→\tcountNodes := 0\n   678→\thasNextPage := false\n   679→\n   680→\t// Build Filters\n   681→\tqueryFilters := make([]*model.NodeFilter, 0)\n   682→\tif cluster != \"\" {\n   683→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n   684→\t}\n   685→\tif subCluster != \"\" {\n   686→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n   687→\t}\n   688→\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n   689→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n   690→\t}\n   691→\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n   692→\t\tqueryState := schema.SchedulerState(stateFilter)\n   693→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n   694→\t}\n   695→\t// if healthFilter != \"all\" {\n   696→\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n   697→\t// }\n   698→\n   699→\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n   700→\tvar backupItems int\n   701→\tif stateFilter == \"notindb\" {\n   702→\t\tbackupItems = page.ItemsPerPage\n   703→\t\tpage.ItemsPerPage = -1\n   704→\t}\n   705→\n   706→\t// Query Nodes From DB\n   707→\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n   708→\tif serr != nil {\n   709→\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n   710→\t\treturn nil, nil, 0, false, serr\n   711→\t}\n   712→\n   713→\t// Intermediate Node Result Info\n   714→\tfor _, node := range rawNodes {\n   715→\t\tif node == nil {\n   716→\t\t\tcontinue\n   717→\t\t}\n   718→\t\tnodes = append(nodes, node.Hostname)\n   719→\t\tstateMap[node.Hostname] = string(node.NodeState)\n   720→\t}\n   721→\n   722→\t// Special Case: Find Nodes not in DB node table but in metricStore only\n   723→\tif stateFilter == \"notindb\" {\n   724→\t\t// Reapply Original Paging\n   725→\t\tpage.ItemsPerPage = backupItems\n   726→\t\t// Get Nodes From Topology\n   727→\t\tvar topoNodes []string\n   728→\t\tif subCluster != \"\" {\n   729→\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n   730→\t\t\ttopoNodes = scNodes.PrintList()\n   731→\t\t} else {\n   732→\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n   733→\t\t\tfor _, nodeList := range subClusterNodeLists {\n   734→\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n   735→\t\t\t}\n   736→\t\t}\n   737→\t\t// Compare to all nodes from cluster/subcluster in DB\n   738→\t\tvar missingNodes []string\n   739→\t\tfor _, scanNode := range topoNodes {\n   740→\t\t\tif !slices.Contains(nodes, scanNode) {\n   741→\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n   742→\t\t\t}\n   743→\t\t}\n   744→\t\t// Filter nodes by name\n   745→\t\tif nodeFilter != \"\" {\n   746→\t\t\tfilteredNodesByName := []string{}\n   747→\t\t\tfor _, missingNode := range missingNodes {\n   748→\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n   749→\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n   750→\t\t\t\t}\n   751→\t\t\t}\n   752→\t\t\tmissingNodes = filteredNodesByName\n   753→\t\t}\n   754→\t\t// Sort Missing Nodes Alphanumerically\n   755→\t\tslices.Sort(missingNodes)\n   756→\t\t// Total Missing\n   757→\t\tcountNodes = len(missingNodes)\n   758→\t\t// Apply paging\n   759→\t\tif countNodes > page.ItemsPerPage {\n   760→\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n   761→\t\t\tend := start + page.ItemsPerPage\n   762→\t\t\tif end > countNodes {\n   763→\t\t\t\tend = countNodes\n   764→\t\t\t\thasNextPage = false\n   765→\t\t\t} else {\n   766→\t\t\t\thasNextPage = true\n   767→\t\t\t}\n   768→\t\t\tnodes = missingNodes[start:end]\n   769→\t\t} else {\n   770→\t\t\tnodes = missingNodes\n   771→\t\t}\n   772→\n   773→\t} else {\n   774→\t\t// DB Nodes: Count and derive hasNextPage from count\n   775→\t\tvar cerr error\n   776→\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n   777→\t\tif cerr != nil {\n   778→\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n   779→\t\t\treturn nil, nil, 0, false, cerr\n   780→\t\t}\n   781→\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n   782→\t}\n   783→\n   784→\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n   785→\tif stateFilter == \"all\" && countNodes == 0 {\n   786→\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n   787→\t}\n   788→\n   789→\treturn nodes, stateMap, countNodes, hasNextPage, nil\n   790→}\n   791→\n   792→func AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n   793→\tuser := GetUserFromContext(ctx)\n   794→\treturn AccessCheckWithUser(user, query)\n   795→}\n   796→\n   797→func AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n   798→\tif user == nil {\n   799→\t\tvar qnil sq.SelectBuilder\n   800→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n   801→\t}\n   802→\n   803→\tswitch {\n   804→\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n   805→\t// \treturn query, nil\n   806→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n   807→\t\treturn query, nil\n   808→\tdefault: // No known Role: No Access, return error\n   809→\t\tvar qnil sq.SelectBuilder\n   810→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n   811→\t}\n   812→}\n   813→\n   814→func getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n   815→\t// 0) Init additional vars\n   816→\thasNextPage := false\n   817→\ttotalNodes := 0\n   818→\n   819→\t// 1) Get list of all nodes\n   820→\tvar topolNodes []string\n   821→\tif subCluster != \"\" {\n   822→\t\tscNodes := archive.NodeLists[cluster][subCluster]\n   823→\t\ttopolNodes = scNodes.PrintList()\n   824→\t} else {\n   825→\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n   826→\t\tfor _, nodeList := range subClusterNodeLists {\n   827→\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n   828→\t\t}\n   829→\t}\n   830→\n   831→\t// 2) Filter nodes\n   832→\tif nodeFilter != \"\" {\n   833→\t\tfilteredNodes := []string{}\n   834→\t\tfor _, node := range topolNodes {\n   835→\t\t\tif strings.Contains(node, nodeFilter) {\n   836→\t\t\t\tfilteredNodes = append(filteredNodes, node)\n   837→\t\t\t}\n   838→\t\t}\n   839→\t\ttopolNodes = filteredNodes\n   840→\t}\n   841→\n   842→\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n   843→\ttotalNodes = len(topolNodes)\n   844→\tsort.Strings(topolNodes)\n   845→\n   846→\t// 3) Apply paging\n   847→\tif len(topolNodes) > page.ItemsPerPage {\n   848→\t\tstart := (page.Page - 1) * page.ItemsPerPage\n   849→\t\tend := start + page.ItemsPerPage\n   850→\t\tif end >= len(topolNodes) {\n   851→\t\t\tend = len(topolNodes)\n   852→\t\t\thasNextPage = false\n   853→\t\t} else {\n   854→\t\t\thasNextPage = true\n   855→\t\t}\n   856→\t\ttopolNodes = topolNodes[start:end]\n   857→\t}\n   858→\n   859→\treturn topolNodes, totalNodes, hasNextPage\n   860→}\n   861→"}]},"uuid":"2188f7a5-cd29-489c-9a95-04382c575155","timestamp":"2026-03-16T10:12:41.122Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sort\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\tnodeRepoOnce     sync.Once\n\tnodeRepoInstance *NodeRepository\n)\n\ntype NodeRepository struct {\n\tDB        *sqlx.DB\n\tstmtCache *sq.StmtCache\n\tcache     *lrucache.Cache\n\tdriver    string\n}\n\nfunc GetNodeRepository() *NodeRepository {\n\tnodeRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tnodeRepoInstance = &NodeRepository{\n\t\t\tDB:     db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache:     lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn nodeRepoInstance\n}\n\n// latestStateCondition returns a squirrel expression that restricts node_state\n// rows to the latest per node_id using a correlated subquery.\n// Requires the query to join node and node_state tables.\nfunc latestStateCondition() sq.Sqlizer {\n\treturn sq.Expr(\n\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n\t)\n}\n\n// applyNodeFilters applies common NodeFilter conditions to a query that joins\n// the node and node_state tables with latestStateCondition.\nfunc applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\treturn query\n}\n\nfunc (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n\tstart := time.Now()\n\n\tRawMetaData := make([]byte, 0)\n\n\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n\t\tcclog.Warn(\"Error while scanning for node metadata\")\n\t\treturn nil, err\n\t}\n\n\tif len(RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tMetaData := make(map[string]string)\n\n\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn MetaData, nil\n}\n\nfunc (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tvar err error\n\t\tvar meta map[string]string\n\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n\t\t\treturn nil, err\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\nfunc (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.id = ?\", id).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n\t\tif metaErr != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n\t\t\treturn nil, metaErr\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\n// const NamedNodeInsert string = `\n// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n//\n//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n\nconst NamedNodeInsert string = `\nINSERT INTO node (hostname, cluster, subcluster)\n\tVALUES (:hostname, :cluster, :subcluster);`\n\n// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n// from a nodestate update from the job scheduler.\nfunc (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n\tvar err error\n\n\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\tnode.ID, err = res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\n\treturn node.ID, nil\n}\n\nconst NamedNodeStateInsert string = `\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n\n// TODO: Add real Monitoring Health State\n\n// UpdateNodeState is called from the Node REST API to add a row in the node state table\nfunc (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n\tvar id int64\n\n\tif err := sq.Select(\"id\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n\t\tQueryRow().Scan(&id); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tnode := schema.NodeDB{\n\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n\t\t\t}\n\t\t\tid, err = r.AddNode(&node)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n\t\t\treturn err\n\t\t}\n\t}\n\n\tnodeState.NodeID = id\n\n\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n\t\treturn err\n\t}\n\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n// \t\treturn err\n// \t}\n//\n// \treturn nil\n// }\n\n// NodeStateWithNode combines a node state row with denormalized node info.\ntype NodeStateWithNode struct {\n\tID              int64  `db:\"id\"`\n\tTimeStamp       int64  `db:\"time_stamp\"`\n\tNodeState       string `db:\"node_state\"`\n\tHealthState     string `db:\"health_state\"`\n\tHealthMetrics   string `db:\"health_metrics\"`\n\tCpusAllocated   int    `db:\"cpus_allocated\"`\n\tMemoryAllocated int64  `db:\"memory_allocated\"`\n\tGpusAllocated   int    `db:\"gpus_allocated\"`\n\tJobsRunning     int    `db:\"jobs_running\"`\n\tHostname        string `db:\"hostname\"`\n\tCluster         string `db:\"cluster\"`\n\tSubCluster      string `db:\"subcluster\"`\n}\n\n// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n// joined with node info for denormalized archiving.\nfunc (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n\trows, err := sq.Select(\n\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t).\n\t\tFrom(\"node_state\").\n\t\tJoin(\"node ON node_state.node_id = node.id\").\n\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n\t\tRunWith(r.DB).Query()\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tvar result []NodeStateWithNode\n\tfor rows.Next() {\n\t\tvar ns NodeStateWithNode\n\t\tvar healthMetrics sql.NullString\n\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n\t\t\t&ns.HealthState, &healthMetrics,\n\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tns.HealthMetrics = healthMetrics.String\n\t\tresult = append(result, ns)\n\t}\n\treturn result, nil\n}\n\n// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n// but always preserves the row with the latest timestamp per node_id.\nfunc (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t`DELETE FROM node_state WHERE time_stamp < ?\n\t\t AND id NOT IN (\n\t\t   SELECT id FROM node_state ns2\n\t\t   WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n\t\t )`,\n\t\tcutoff,\n\t)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn res.RowsAffected()\n}\n\nfunc (r *NodeRepository) DeleteNode(id int64) error {\n\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted node '%d' from DB\", id)\n\treturn nil\n}\n\n// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.\nfunc (r *NodeRepository) CountNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n) (int, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column, \"COUNT(*) as count\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()).\n\t\t\tGroupBy(column))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, &timestamp, &count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,\n\tpage *model.PageRequest,\n) ([]string, map[string]string, int, bool, error) {\n\t// Init Return Vars\n\tnodes := make([]string, 0)\n\tstateMap := make(map[string]string)\n\tcountNodes := 0\n\thasNextPage := false\n\n\t// Build Filters\n\tqueryFilters := make([]*model.NodeFilter, 0)\n\tif cluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n\t}\n\tif subCluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n\t}\n\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n\t}\n\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n\t\tqueryState := schema.SchedulerState(stateFilter)\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n\t}\n\t// if healthFilter != \"all\" {\n\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n\t// }\n\n\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n\tvar backupItems int\n\tif stateFilter == \"notindb\" {\n\t\tbackupItems = page.ItemsPerPage\n\t\tpage.ItemsPerPage = -1\n\t}\n\n\t// Query Nodes From DB\n\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n\tif serr != nil {\n\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n\t\treturn nil, nil, 0, false, serr\n\t}\n\n\t// Intermediate Node Result Info\n\tfor _, node := range rawNodes {\n\t\tif node == nil {\n\t\t\tcontinue\n\t\t}\n\t\tnodes = append(nodes, node.Hostname)\n\t\tstateMap[node.Hostname] = string(node.NodeState)\n\t}\n\n\t// Special Case: Find Nodes not in DB node table but in metricStore only\n\tif stateFilter == \"notindb\" {\n\t\t// Reapply Original Paging\n\t\tpage.ItemsPerPage = backupItems\n\t\t// Get Nodes From Topology\n\t\tvar topoNodes []string\n\t\tif subCluster != \"\" {\n\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\t\ttopoNodes = scNodes.PrintList()\n\t\t} else {\n\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n\t\t\t}\n\t\t}\n\t\t// Compare to all nodes from cluster/subcluster in DB\n\t\tvar missingNodes []string\n\t\tfor _, scanNode := range topoNodes {\n\t\t\tif !slices.Contains(nodes, scanNode) {\n\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n\t\t\t}\n\t\t}\n\t\t// Filter nodes by name\n\t\tif nodeFilter != \"\" {\n\t\t\tfilteredNodesByName := []string{}\n\t\t\tfor _, missingNode := range missingNodes {\n\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n\t\t\t\t}\n\t\t\t}\n\t\t\tmissingNodes = filteredNodesByName\n\t\t}\n\t\t// Sort Missing Nodes Alphanumerically\n\t\tslices.Sort(missingNodes)\n\t\t// Total Missing\n\t\tcountNodes = len(missingNodes)\n\t\t// Apply paging\n\t\tif countNodes > page.ItemsPerPage {\n\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\t\tend := start + page.ItemsPerPage\n\t\t\tif end > countNodes {\n\t\t\t\tend = countNodes\n\t\t\t\thasNextPage = false\n\t\t\t} else {\n\t\t\t\thasNextPage = true\n\t\t\t}\n\t\t\tnodes = missingNodes[start:end]\n\t\t} else {\n\t\t\tnodes = missingNodes\n\t\t}\n\n\t} else {\n\t\t// DB Nodes: Count and derive hasNextPage from count\n\t\tvar cerr error\n\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n\t\tif cerr != nil {\n\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n\t\t\treturn nil, nil, 0, false, cerr\n\t\t}\n\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n\t}\n\n\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n\tif stateFilter == \"all\" && countNodes == 0 {\n\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n\t}\n\n\treturn nodes, stateMap, countNodes, hasNextPage, nil\n}\n\nfunc AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn AccessCheckWithUser(user, query)\n}\n\nfunc AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n\t// \treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n\t\treturn query, nil\n\tdefault: // No known Role: No Access, return error\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\nfunc getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n\t// 0) Init additional vars\n\thasNextPage := false\n\ttotalNodes := 0\n\n\t// 1) Get list of all nodes\n\tvar topolNodes []string\n\tif subCluster != \"\" {\n\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\ttopolNodes = scNodes.PrintList()\n\t} else {\n\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n\t\t}\n\t}\n\n\t// 2) Filter nodes\n\tif nodeFilter != \"\" {\n\t\tfilteredNodes := []string{}\n\t\tfor _, node := range topolNodes {\n\t\t\tif strings.Contains(node, nodeFilter) {\n\t\t\t\tfilteredNodes = append(filteredNodes, node)\n\t\t\t}\n\t\t}\n\t\ttopolNodes = filteredNodes\n\t}\n\n\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n\ttotalNodes = len(topolNodes)\n\tsort.Strings(topolNodes)\n\n\t// 3) Apply paging\n\tif len(topolNodes) > page.ItemsPerPage {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tend := start + page.ItemsPerPage\n\t\tif end >= len(topolNodes) {\n\t\t\tend = len(topolNodes)\n\t\t\thasNextPage = false\n\t\t} else {\n\t\t\thasNextPage = true\n\t\t}\n\t\ttopolNodes = topolNodes[start:end]\n\t}\n\n\treturn topolNodes, totalNodes, hasNextPage\n}\n","numLines":861,"startLine":1,"totalLines":861}},"sourceToolAssistantUUID":"d8f1148f-83ce-49d1-8a7f-4e6531306bf4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"c8d3f293-f0a4-4c69-a19e-1f7a97d640ab","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SbAkMWCk98L7vU7dNCyC7L","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"database/sql\"\n    10→\t\"encoding/json\"\n    11→\t\"strings\"\n    12→\t\"sync\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n    21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n    23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    24→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n    25→)\n    26→\n    27→// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n    28→// It mirrors the functionality of the REST API but uses NATS messaging with\n    29→// InfluxDB line protocol as the message format.\n    30→//\n    31→// # Message Format\n    32→//\n    33→// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n    34→// with the following structure:\n    35→//\n    36→//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n    37→//\n    38→// # Job Events\n    39→//\n    40→// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n    41→//\n    42→//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n    43→//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n    44→//\n    45→// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n    46→//\n    47→// Example job start message:\n    48→//\n    49→//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n    50→//\n    51→// # Node State Events\n    52→//\n    53→// Node state updates use the \"nodestate\" measurement with cluster information:\n    54→//\n    55→//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n    56→//\n    57→// The JSON payload follows the UpdateNodeStatesRequest structure.\n    58→//\n    59→// Example node state message:\n    60→//\n    61→//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\n    62→type NatsAPI struct {\n    63→\tJobRepository *repository.JobRepository\n    64→\t// RepositoryMutex protects job creation operations from race conditions\n    65→\t// when checking for duplicate jobs during startJob calls.\n    66→\tRepositoryMutex sync.Mutex\n    67→}\n    68→\n    69→// NewNatsAPI creates a new NatsAPI instance with default dependencies.\n    70→func NewNatsAPI() *NatsAPI {\n    71→\treturn &NatsAPI{\n    72→\t\tJobRepository: repository.GetJobRepository(),\n    73→\t}\n    74→}\n    75→\n    76→// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n    77→// Returns an error if the NATS client is not available or subscription fails.\n    78→func (api *NatsAPI) StartSubscriptions() error {\n    79→\tclient := nats.GetClient()\n    80→\tif client == nil {\n    81→\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n    82→\t\treturn nil\n    83→\t}\n    84→\n    85→\tif config.Keys.APISubjects != nil {\n    86→\n    87→\t\ts := config.Keys.APISubjects\n    88→\n    89→\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n    90→\t\t\treturn err\n    91→\t\t}\n    92→\n    93→\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n    94→\t\t\treturn err\n    95→\t\t}\n    96→\n    97→\t\tcclog.Info(\"NATS API subscriptions started\")\n    98→\t}\n    99→\treturn nil\n   100→}\n   101→\n   102→// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n   103→// Validates that required tags and fields are present before processing.\n   104→func (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n   105→\tfunction, ok := msg.GetTag(\"function\")\n   106→\tif !ok {\n   107→\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n   108→\t\treturn\n   109→\t}\n   110→\n   111→\tswitch function {\n   112→\tcase \"start_job\":\n   113→\t\tv, ok := msg.GetEventValue()\n   114→\t\tif !ok {\n   115→\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n   116→\t\t\treturn\n   117→\t\t}\n   118→\t\tapi.handleStartJob(v)\n   119→\n   120→\tcase \"stop_job\":\n   121→\t\tv, ok := msg.GetEventValue()\n   122→\t\tif !ok {\n   123→\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n   124→\t\t\treturn\n   125→\t\t}\n   126→\t\tapi.handleStopJob(v)\n   127→\n   128→\tdefault:\n   129→\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n   130→\t}\n   131→}\n   132→\n   133→// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n   134→// The message must be in line protocol format with measurement=\"job\" and include:\n   135→//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n   136→//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n   137→//\n   138→// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\n   139→func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n   140→\tif len(data) == 0 {\n   141→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n   142→\t\treturn\n   143→\t}\n   144→\n   145→\td := influx.NewDecoderWithBytes(data)\n   146→\n   147→\tfor d.Next() {\n   148→\t\tm, err := receivers.DecodeInfluxMessage(d)\n   149→\t\tif err != nil {\n   150→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n   151→\t\t\treturn\n   152→\t\t}\n   153→\n   154→\t\tif !m.IsEvent() {\n   155→\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n   156→\t\t\tcontinue\n   157→\t\t}\n   158→\n   159→\t\tif m.Name() == \"job\" {\n   160→\t\t\tapi.processJobEvent(m)\n   161→\t\t} else {\n   162→\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n   163→\t\t}\n   164→\t}\n   165→}\n   166→\n   167→// handleStartJob processes job start messages received via NATS.\n   168→// The payload parameter contains JSON following the schema.Job structure.\n   169→// Jobs are validated, checked for duplicates, and inserted into the database.\n   170→func (api *NatsAPI) handleStartJob(payload string) {\n   171→\tif payload == \"\" {\n   172→\t\tcclog.Error(\"NATS start job: payload is empty\")\n   173→\t\treturn\n   174→\t}\n   175→\treq := schema.Job{\n   176→\t\tShared:           \"none\",\n   177→\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n   178→\t}\n   179→\n   180→\tdec := json.NewDecoder(strings.NewReader(payload))\n   181→\tdec.DisallowUnknownFields()\n   182→\tif err := dec.Decode(&req); err != nil {\n   183→\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n   184→\t\treturn\n   185→\t}\n   186→\n   187→\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n   188→\treq.State = schema.JobStateRunning\n   189→\n   190→\tif err := importer.SanityChecks(&req); err != nil {\n   191→\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n   192→\t\treturn\n   193→\t}\n   194→\n   195→\tvar unlockOnce sync.Once\n   196→\tapi.RepositoryMutex.Lock()\n   197→\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n   198→\n   199→\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n   200→\tif err != nil && err != sql.ErrNoRows {\n   201→\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n   202→\t\treturn\n   203→\t}\n   204→\tif err == nil {\n   205→\t\tfor _, job := range jobs {\n   206→\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n   207→\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n   208→\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n   209→\t\t\t\treturn\n   210→\t\t\t}\n   211→\t\t}\n   212→\t}\n   213→\n   214→\t// When tags are present, insert directly into the job table so that the\n   215→\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n   216→\tvar id int64\n   217→\tif len(req.Tags) > 0 {\n   218→\t\tid, err = api.JobRepository.StartDirect(&req)\n   219→\t} else {\n   220→\t\tid, err = api.JobRepository.Start(&req)\n   221→\t}\n   222→\tif err != nil {\n   223→\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n   224→\t\treturn\n   225→\t}\n   226→\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n   227→\n   228→\tfor _, tag := range req.Tags {\n   229→\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n   230→\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n   231→\t\t\treturn\n   232→\t\t}\n   233→\t}\n   234→\n   235→\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n   236→\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n   237→}\n   238→\n   239→// handleStopJob processes job stop messages received via NATS.\n   240→// The payload parameter contains JSON following the StopJobAPIRequest structure.\n   241→// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\n   242→func (api *NatsAPI) handleStopJob(payload string) {\n   243→\tif payload == \"\" {\n   244→\t\tcclog.Error(\"NATS stop job: payload is empty\")\n   245→\t\treturn\n   246→\t}\n   247→\tvar req StopJobAPIRequest\n   248→\n   249→\tdec := json.NewDecoder(strings.NewReader(payload))\n   250→\tdec.DisallowUnknownFields()\n   251→\tif err := dec.Decode(&req); err != nil {\n   252→\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n   253→\t\treturn\n   254→\t}\n   255→\n   256→\tif req.JobID == nil {\n   257→\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n   258→\t\treturn\n   259→\t}\n   260→\n   261→\tisCached := false\n   262→\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n   263→\tif err != nil {\n   264→\t\t// Not in cache, try main job table\n   265→\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n   266→\t\tif err != nil {\n   267→\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n   268→\t\t\treturn\n   269→\t\t}\n   270→\t} else {\n   271→\t\tisCached = true\n   272→\t}\n   273→\n   274→\tif job.State != schema.JobStateRunning {\n   275→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n   276→\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n   277→\t\treturn\n   278→\t}\n   279→\n   280→\tif job.StartTime > req.StopTime {\n   281→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n   282→\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n   283→\t\treturn\n   284→\t}\n   285→\n   286→\tif req.State != \"\" && !req.State.Valid() {\n   287→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n   288→\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n   289→\t\treturn\n   290→\t} else if req.State == \"\" {\n   291→\t\treq.State = schema.JobStateCompleted\n   292→\t}\n   293→\n   294→\tjob.Duration = int32(req.StopTime - job.StartTime)\n   295→\tjob.State = req.State\n   296→\tapi.JobRepository.Mutex.Lock()\n   297→\tdefer api.JobRepository.Mutex.Unlock()\n   298→\n   299→\t// If the job is still in job_cache, transfer it to the job table first\n   300→\tif isCached {\n   301→\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n   302→\t\tif err != nil {\n   303→\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n   304→\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n   305→\t\t\treturn\n   306→\t\t}\n   307→\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n   308→\t\tjob.ID = &newID\n   309→\t}\n   310→\n   311→\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n   312→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n   313→\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n   314→\t\treturn\n   315→\t}\n   316→\n   317→\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n   318→\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n   319→\n   320→\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n   321→\t\treturn\n   322→\t}\n   323→\n   324→\tarchiver.TriggerArchiving(job)\n   325→}\n   326→\n   327→// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n   328→// Updates node states in the repository for all nodes in the payload.\n   329→func (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n   330→\tv, ok := msg.GetEventValue()\n   331→\tif !ok {\n   332→\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n   333→\t\treturn\n   334→\t}\n   335→\n   336→\tvar req UpdateNodeStatesRequest\n   337→\n   338→\tdec := json.NewDecoder(strings.NewReader(v))\n   339→\tdec.DisallowUnknownFields()\n   340→\tif err := dec.Decode(&req); err != nil {\n   341→\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n   342→\t\treturn\n   343→\t}\n   344→\n   345→\trepo := repository.GetNodeRepository()\n   346→\trequestReceived := time.Now().Unix()\n   347→\n   348→\tfor _, node := range req.Nodes {\n   349→\t\tstate := determineState(node.States)\n   350→\t\tnodeState := schema.NodeStateDB{\n   351→\t\t\tTimeStamp:       requestReceived,\n   352→\t\t\tNodeState:       state,\n   353→\t\t\tCpusAllocated:   node.CpusAllocated,\n   354→\t\t\tMemoryAllocated: node.MemoryAllocated,\n   355→\t\t\tGpusAllocated:   node.GpusAllocated,\n   356→\t\t\tHealthState:     schema.MonitoringStateFull,\n   357→\t\t\tJobsRunning:     node.JobsRunning,\n   358→\t\t}\n   359→\n   360→\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n   361→\t\t\tcclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",\n   362→\t\t\t\tnode.Hostname, req.Cluster, err)\n   363→\t\t}\n   364→\t}\n   365→\n   366→\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n   367→}\n   368→\n   369→// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n   370→// The message must be in line protocol format with measurement=\"nodestate\" and include:\n   371→//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n   372→//\n   373→// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\n   374→func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n   375→\tif len(data) == 0 {\n   376→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n   377→\t\treturn\n   378→\t}\n   379→\n   380→\td := influx.NewDecoderWithBytes(data)\n   381→\n   382→\tfor d.Next() {\n   383→\t\tm, err := receivers.DecodeInfluxMessage(d)\n   384→\t\tif err != nil {\n   385→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n   386→\t\t\treturn\n   387→\t\t}\n   388→\n   389→\t\tif !m.IsEvent() {\n   390→\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n   391→\t\t\tcontinue\n   392→\t\t}\n   393→\n   394→\t\tif m.Name() == \"nodestate\" {\n   395→\t\t\tapi.processNodestateEvent(m)\n   396→\t\t} else {\n   397→\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n   398→\t\t}\n   399→\t}\n   400→}\n   401→"}]},"uuid":"186dcc55-1ec7-4336-abee-c9a5e56c2a8f","timestamp":"2026-03-16T10:12:41.400Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","numLines":401,"startLine":1,"totalLines":401}},"sourceToolAssistantUUID":"c8d3f293-f0a4-4c69-a19e-1f7a97d640ab","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"186dcc55-1ec7-4336-abee-c9a5e56c2a8f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014TL3pbSWBVr2pivAjUxp1C","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"2778e110-6ad8-4f0f-901e-a221ad5b2824","timestamp":"2026-03-16T10:12:41.836Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"2778e110-6ad8-4f0f-901e-a221ad5b2824","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_014TL3pbSWBVr2pivAjUxp1C","toolUseID":"toolu_014TL3pbSWBVr2pivAjUxp1C","timestamp":"2026-03-16T10:12:41.843Z","uuid":"9129b1db-0ee2-467a-9ec9-212b396d1bb4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"2778e110-6ad8-4f0f-901e-a221ad5b2824","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014TL3pbSWBVr2pivAjUxp1C","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"fmt\"\n    10→\t\"maps\"\n    11→\t\"net/http\"\n    12→\t\"strings\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→)\n    22→\n    23→type UpdateNodeStatesRequest struct {\n    24→\tNodes   []schema.NodePayload `json:\"nodes\"`\n    25→\tCluster string               `json:\"cluster\" example:\"fritz\"`\n    26→}\n    27→\n    28→// metricListToNames converts a map of metric configurations to a list of metric names\n    29→func metricListToNames(metricList map[string]*schema.Metric) []string {\n    30→\tnames := make([]string, 0, len(metricList))\n    31→\tfor name := range metricList {\n    32→\t\tnames = append(names, name)\n    33→\t}\n    34→\treturn names\n    35→}\n    36→\n    37→// this routine assumes that only one of them exists per node\n    38→func determineState(states []string) schema.SchedulerState {\n    39→\tfor _, state := range states {\n    40→\t\tswitch strings.ToLower(state) {\n    41→\t\tcase \"allocated\":\n    42→\t\t\treturn schema.NodeStateAllocated\n    43→\t\tcase \"reserved\":\n    44→\t\t\treturn schema.NodeStateReserved\n    45→\t\tcase \"idle\":\n    46→\t\t\treturn schema.NodeStateIdle\n    47→\t\tcase \"down\":\n    48→\t\t\treturn schema.NodeStateDown\n    49→\t\tcase \"mixed\":\n    50→\t\t\treturn schema.NodeStateMixed\n    51→\t\t}\n    52→\t}\n    53→\n    54→\treturn schema.NodeStateUnknown\n    55→}\n    56→\n    57→// updateNodeStates godoc\n    58→// @summary     Deliver updated Slurm node states\n    59→// @tags Nodestates\n    60→// @description Returns a JSON-encoded list of users.\n    61→// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n    62→// @produce     json\n    63→// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n    64→// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n    65→// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n    66→// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n    67→// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n    68→// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n    69→// @security    ApiKeyAuth\n    70→// @router      /api/nodestats/ [post]\n    71→func (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n    72→\t// Parse request body\n    73→\treq := UpdateNodeStatesRequest{}\n    74→\tif err := decode(r.Body, &req); err != nil {\n    75→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n    76→\t\t\thttp.StatusBadRequest, rw)\n    77→\t\treturn\n    78→\t}\n    79→\trequestReceived := time.Now().Unix()\n    80→\trepo := repository.GetNodeRepository()\n    81→\n    82→\tm := make(map[string][]string)\n    83→\tmetricNames := make(map[string][]string)\n    84→\thealthResults := make(map[string]metricstore.HealthCheckResult)\n    85→\n    86→\tstartMs := time.Now()\n    87→\n    88→\t// Step 1: Build nodeList and metricList per subcluster\n    89→\tfor _, node := range req.Nodes {\n    90→\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n    91→\t\t\tm[sc] = append(m[sc], node.Hostname)\n    92→\t\t}\n    93→\t}\n    94→\n    95→\tfor sc := range m {\n    96→\t\tif sc != \"\" {\n    97→\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n    98→\t\t\tmetricNames[sc] = metricListToNames(metricList)\n    99→\t\t}\n   100→\t}\n   101→\n   102→\t// Step 2: Determine which metric store to query and perform health check\n   103→\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n   104→\tif err != nil {\n   105→\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n   106→\t} else {\n   107→\t\tfor sc, nl := range m {\n   108→\t\t\tif sc != \"\" {\n   109→\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n   110→\t\t\t\t\tmaps.Copy(healthResults, results)\n   111→\t\t\t\t}\n   112→\t\t\t}\n   113→\t\t}\n   114→\t}\n   115→\n   116→\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n   117→\tstartDB := time.Now()\n   118→\n   119→\tfor _, node := range req.Nodes {\n   120→\t\tstate := determineState(node.States)\n   121→\t\thealthState := schema.MonitoringStateFailed\n   122→\t\tvar healthMetrics string\n   123→\t\tif result, ok := healthResults[node.Hostname]; ok {\n   124→\t\t\thealthState = result.State\n   125→\t\t\thealthMetrics = result.HealthMetrics\n   126→\t\t}\n   127→\t\tnodeState := schema.NodeStateDB{\n   128→\t\t\tTimeStamp:       requestReceived,\n   129→\t\t\tNodeState:       state,\n   130→\t\t\tCpusAllocated:   node.CpusAllocated,\n   131→\t\t\tMemoryAllocated: node.MemoryAllocated,\n   132→\t\t\tGpusAllocated:   node.GpusAllocated,\n   133→\t\t\tHealthState:     healthState,\n   134→\t\t\tHealthMetrics:   healthMetrics,\n   135→\t\t\tJobsRunning:     node.JobsRunning,\n   136→\t\t}\n   137→\n   138→\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n   139→\t\t\tcclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",\n   140→\t\t\t\tnode.Hostname, req.Cluster, err)\n   141→\t\t}\n   142→\t}\n   143→\n   144→\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n   145→}\n   146→"}]},"uuid":"78f555f7-8f16-44fa-b61b-ca0e4f57eefa","timestamp":"2026-03-16T10:12:41.842Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"fmt\"\n\t\"maps\"\n\t\"net/http\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\ntype UpdateNodeStatesRequest struct {\n\tNodes   []schema.NodePayload `json:\"nodes\"`\n\tCluster string               `json:\"cluster\" example:\"fritz\"`\n}\n\n// metricListToNames converts a map of metric configurations to a list of metric names\nfunc metricListToNames(metricList map[string]*schema.Metric) []string {\n\tnames := make([]string, 0, len(metricList))\n\tfor name := range metricList {\n\t\tnames = append(names, name)\n\t}\n\treturn names\n}\n\n// this routine assumes that only one of them exists per node\nfunc determineState(states []string) schema.SchedulerState {\n\tfor _, state := range states {\n\t\tswitch strings.ToLower(state) {\n\t\tcase \"allocated\":\n\t\t\treturn schema.NodeStateAllocated\n\t\tcase \"reserved\":\n\t\t\treturn schema.NodeStateReserved\n\t\tcase \"idle\":\n\t\t\treturn schema.NodeStateIdle\n\t\tcase \"down\":\n\t\t\treturn schema.NodeStateDown\n\t\tcase \"mixed\":\n\t\t\treturn schema.NodeStateMixed\n\t\t}\n\t}\n\n\treturn schema.NodeStateUnknown\n}\n\n// updateNodeStates godoc\n// @summary     Deliver updated Slurm node states\n// @tags Nodestates\n// @description Returns a JSON-encoded list of users.\n// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n// @produce     json\n// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/nodestats/ [post]\nfunc (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n\t// Parse request body\n\treq := UpdateNodeStatesRequest{}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n\t\t\thttp.StatusBadRequest, rw)\n\t\treturn\n\t}\n\trequestReceived := time.Now().Unix()\n\trepo := repository.GetNodeRepository()\n\n\tm := make(map[string][]string)\n\tmetricNames := make(map[string][]string)\n\thealthResults := make(map[string]metricstore.HealthCheckResult)\n\n\tstartMs := time.Now()\n\n\t// Step 1: Build nodeList and metricList per subcluster\n\tfor _, node := range req.Nodes {\n\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n\t\t\tm[sc] = append(m[sc], node.Hostname)\n\t\t}\n\t}\n\n\tfor sc := range m {\n\t\tif sc != \"\" {\n\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n\t\t\tmetricNames[sc] = metricListToNames(metricList)\n\t\t}\n\t}\n\n\t// Step 2: Determine which metric store to query and perform health check\n\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n\tif err != nil {\n\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n\t} else {\n\t\tfor sc, nl := range m {\n\t\t\tif sc != \"\" {\n\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n\t\t\t\t\tmaps.Copy(healthResults, results)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     healthState,\n\t\t\tHealthMetrics:   healthMetrics,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n}\n","numLines":146,"startLine":1,"totalLines":146}},"sourceToolAssistantUUID":"2778e110-6ad8-4f0f-901e-a221ad5b2824","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"78f555f7-8f16-44fa-b61b-ca0e4f57eefa","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QZn1z7o6wW6qHVFPQ63xir","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"ab33adee-9926-4c38-af68-7a0b5d885ff8","timestamp":"2026-03-16T10:12:42.245Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"ab33adee-9926-4c38-af68-7a0b5d885ff8","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01QZn1z7o6wW6qHVFPQ63xir","toolUseID":"toolu_01QZn1z7o6wW6qHVFPQ63xir","timestamp":"2026-03-16T10:12:42.250Z","uuid":"8ec2b218-0906-411c-a125-b9d46a9cbf93","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"ab33adee-9926-4c38-af68-7a0b5d885ff8","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QZn1z7o6wW6qHVFPQ63xir","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package repository\n     6→\n     7→import (\n     8→\t\"context\"\n     9→\t\"database/sql\"\n    10→\t\"encoding/json\"\n    11→\t\"errors\"\n    12→\t\"fmt\"\n    13→\t\"reflect\"\n    14→\t\"strings\"\n    15→\t\"sync\"\n    16→\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→\tsq \"github.com/Masterminds/squirrel\"\n    22→\t\"github.com/jmoiron/sqlx\"\n    23→\t\"golang.org/x/crypto/bcrypt\"\n    24→)\n    25→\n    26→// Authentication and Role System:\n    27→//\n    28→// ClusterCockpit supports multiple authentication sources:\n    29→//   - Local: Username/password stored in database (password hashed with bcrypt)\n    30→//   - LDAP: External LDAP/Active Directory authentication\n    31→//   - JWT: Token-based authentication for API access\n    32→//\n    33→// Role Hierarchy (from highest to lowest privilege):\n    34→//   1. \"admin\" - Full system access, can manage all users and jobs\n    35→//   2. \"support\" - Can view all jobs but limited management capabilities\n    36→//   3. \"manager\" - Can manage specific projects and their users\n    37→//   4. \"api\" - Programmatic access for job submission/management\n    38→//   5. \"user\" - Default role, can only view own jobs\n    39→//\n    40→// Project Association:\n    41→//   - Managers have a list of projects they oversee\n    42→//   - Regular users' project membership is determined by job data\n    43→//   - Managers can view/manage all jobs within their projects\n    44→\n    45→var (\n    46→\tuserRepoOnce     sync.Once\n    47→\tuserRepoInstance *UserRepository\n    48→)\n    49→\n    50→type UserRepository struct {\n    51→\tDB     *sqlx.DB\n    52→\tdriver string\n    53→}\n    54→\n    55→func GetUserRepository() *UserRepository {\n    56→\tuserRepoOnce.Do(func() {\n    57→\t\tdb := GetConnection()\n    58→\n    59→\t\tuserRepoInstance = &UserRepository{\n    60→\t\t\tDB:     db.DB,\n    61→\t\t\tdriver: db.Driver,\n    62→\t\t}\n    63→\t})\n    64→\treturn userRepoInstance\n    65→}\n    66→\n    67→// GetUser retrieves a user by username from the database.\n    68→// Returns the complete user record including hashed password, roles, and projects.\n    69→// Password field contains bcrypt hash for local auth users, empty for LDAP users.\n    70→func (r *UserRepository) GetUser(username string) (*schema.User, error) {\n    71→\tuser := &schema.User{Username: username}\n    72→\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n    73→\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n    74→\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n    75→\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n    76→\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n    77→\t\treturn nil, err\n    78→\t}\n    79→\n    80→\tuser.Password = hashedPassword.String\n    81→\tuser.Name = name.String\n    82→\tuser.Email = email.String\n    83→\tif rawRoles.Valid {\n    84→\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n    85→\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n    86→\t\t\treturn nil, err\n    87→\t\t}\n    88→\t}\n    89→\tif rawProjects.Valid {\n    90→\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n    91→\t\t\treturn nil, err\n    92→\t\t}\n    93→\t}\n    94→\n    95→\treturn user, nil\n    96→}\n    97→\n    98→func (r *UserRepository) GetLdapUsernames() ([]string, error) {\n    99→\tvar users []string\n   100→\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n   101→\tif err != nil {\n   102→\t\tcclog.Warn(\"Error while querying usernames\")\n   103→\t\treturn nil, err\n   104→\t}\n   105→\tdefer rows.Close()\n   106→\n   107→\tfor rows.Next() {\n   108→\t\tvar username string\n   109→\t\tif err := rows.Scan(&username); err != nil {\n   110→\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n   111→\t\t\treturn nil, err\n   112→\t\t}\n   113→\n   114→\t\tusers = append(users, username)\n   115→\t}\n   116→\n   117→\treturn users, nil\n   118→}\n   119→\n   120→// AddUser creates a new user in the database.\n   121→// Passwords are automatically hashed with bcrypt before storage.\n   122→// Auth source determines authentication method (local, LDAP, etc.).\n   123→//\n   124→// Required fields: Username, Roles\n   125→// Optional fields: Name, Email, Password, Projects, AuthSource\n   126→func (r *UserRepository) AddUser(user *schema.User) error {\n   127→\trolesJson, _ := json.Marshal(user.Roles)\n   128→\tprojectsJson, _ := json.Marshal(user.Projects)\n   129→\n   130→\tcols := []string{\"username\", \"roles\", \"projects\"}\n   131→\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n   132→\n   133→\tif user.Name != \"\" {\n   134→\t\tcols = append(cols, \"name\")\n   135→\t\tvals = append(vals, user.Name)\n   136→\t}\n   137→\tif user.Email != \"\" {\n   138→\t\tcols = append(cols, \"email\")\n   139→\t\tvals = append(vals, user.Email)\n   140→\t}\n   141→\tif user.Password != \"\" {\n   142→\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n   143→\t\tif err != nil {\n   144→\t\t\tcclog.Error(\"Error while encrypting new user password\")\n   145→\t\t\treturn err\n   146→\t\t}\n   147→\t\tcols = append(cols, \"password\")\n   148→\t\tvals = append(vals, string(password))\n   149→\t}\n   150→\tif user.AuthSource != -1 {\n   151→\t\tcols = append(cols, \"ldap\")\n   152→\t\tvals = append(vals, int(user.AuthSource))\n   153→\t}\n   154→\n   155→\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n   156→\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n   157→\t\treturn err\n   158→\t}\n   159→\n   160→\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n   161→\n   162→\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n   163→\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n   164→\tif err != nil {\n   165→\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n   166→\t} else if defaultMetricsCfg != nil {\n   167→\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n   168→\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n   169→\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n   170→\t\t\tif err != nil {\n   171→\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n   172→\t\t\t\tcontinue\n   173→\t\t\t}\n   174→\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n   175→\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n   176→\t\t\tif _, err := sq.Insert(\"configuration\").\n   177→\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n   178→\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n   179→\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n   180→\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n   181→\t\t\t} else {\n   182→\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n   183→\t\t\t}\n   184→\t\t}\n   185→\t}\n   186→\t// END DEPRECATION\n   187→\n   188→\treturn nil\n   189→}\n   190→\n   191→func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n   192→\t// user contains updated info -> Apply to dbUser\n   193→\t// --- Simple Name Update ---\n   194→\tif dbUser.Name != user.Name {\n   195→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n   196→\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n   197→\t\t\treturn err\n   198→\t\t}\n   199→\t}\n   200→\n   201→\t// --- Def Helpers ---\n   202→\t// Helper to update roles\n   203→\tupdateRoles := func(roles []string) error {\n   204→\t\trolesJSON, _ := json.Marshal(roles)\n   205→\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n   206→\t\treturn err\n   207→\t}\n   208→\n   209→\t// Helper to update projects\n   210→\tupdateProjects := func(projects []string) error {\n   211→\t\tprojectsJSON, _ := json.Marshal(projects)\n   212→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n   213→\t\treturn err\n   214→\t}\n   215→\n   216→\t// Helper to clear projects\n   217→\tclearProjects := func() error {\n   218→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n   219→\t\treturn err\n   220→\t}\n   221→\n   222→\t// --- Manager Role Handling ---\n   223→\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n   224→\t\t// Existing Manager: update projects\n   225→\t\tif err := updateProjects(user.Projects); err != nil {\n   226→\t\t\treturn err\n   227→\t\t}\n   228→\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n   229→\t\t// New Manager: update roles and projects\n   230→\t\tif err := updateRoles(user.Roles); err != nil {\n   231→\t\t\treturn err\n   232→\t\t}\n   233→\t\tif err := updateProjects(user.Projects); err != nil {\n   234→\t\t\treturn err\n   235→\t\t}\n   236→\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n   237→\t\t// Remove Manager: update roles and clear projects\n   238→\t\tif err := updateRoles(user.Roles); err != nil {\n   239→\t\t\treturn err\n   240→\t\t}\n   241→\t\tif err := clearProjects(); err != nil {\n   242→\t\t\treturn err\n   243→\t\t}\n   244→\t}\n   245→\n   246→\t// --- Support Role Handling ---\n   247→\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n   248→\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n   249→\t\t// New Support: update roles\n   250→\t\tif err := updateRoles(user.Roles); err != nil {\n   251→\t\t\treturn err\n   252→\t\t}\n   253→\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n   254→\t\t// Remove Support: update roles\n   255→\t\tif err := updateRoles(user.Roles); err != nil {\n   256→\t\t\treturn err\n   257→\t\t}\n   258→\t}\n   259→\n   260→\treturn nil\n   261→}\n   262→\n   263→func (r *UserRepository) DelUser(username string) error {\n   264→\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n   265→\tif err != nil {\n   266→\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n   267→\t\treturn err\n   268→\t}\n   269→\tcclog.Infof(\"deleted user '%s' from DB\", username)\n   270→\treturn nil\n   271→}\n   272→\n   273→func (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n   274→\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n   275→\tif specialsOnly {\n   276→\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n   277→\t}\n   278→\n   279→\trows, err := q.RunWith(r.DB).Query()\n   280→\tif err != nil {\n   281→\t\tcclog.Warn(\"Error while querying user list\")\n   282→\t\treturn nil, err\n   283→\t}\n   284→\n   285→\tusers := make([]*schema.User, 0)\n   286→\tdefer rows.Close()\n   287→\tfor rows.Next() {\n   288→\t\trawroles := \"\"\n   289→\t\trawprojects := \"\"\n   290→\t\tuser := &schema.User{}\n   291→\t\tvar name, email sql.NullString\n   292→\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n   293→\t\t\tcclog.Warn(\"Error while scanning user list\")\n   294→\t\t\treturn nil, err\n   295→\t\t}\n   296→\n   297→\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n   298→\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n   299→\t\t\treturn nil, err\n   300→\t\t}\n   301→\n   302→\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n   303→\t\t\treturn nil, err\n   304→\t\t}\n   305→\n   306→\t\tuser.Name = name.String\n   307→\t\tuser.Email = email.String\n   308→\t\tusers = append(users, user)\n   309→\t}\n   310→\treturn users, nil\n   311→}\n   312→\n   313→// AddRole adds a role to a user's role list.\n   314→// Role string is automatically lowercased.\n   315→// Valid roles: admin, support, manager, api, user\n   316→//\n   317→// Returns error if:\n   318→//   - User doesn't exist\n   319→//   - Role is invalid\n   320→//   - User already has the role\n   321→func (r *UserRepository) AddRole(\n   322→\tctx context.Context,\n   323→\tusername string,\n   324→\tqueryrole string,\n   325→) error {\n   326→\tnewRole := strings.ToLower(queryrole)\n   327→\tuser, err := r.GetUser(username)\n   328→\tif err != nil {\n   329→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n   330→\t\treturn err\n   331→\t}\n   332→\n   333→\texists, valid := user.HasValidRole(newRole)\n   334→\n   335→\tif !valid {\n   336→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n   337→\t}\n   338→\tif exists {\n   339→\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n   340→\t}\n   341→\n   342→\troles, _ := json.Marshal(append(user.Roles, newRole))\n   343→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n   344→\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n   345→\t\treturn err\n   346→\t}\n   347→\treturn nil\n   348→}\n   349→\n   350→// RemoveRole removes a role from a user's role list.\n   351→//\n   352→// Special rules:\n   353→//   - Cannot remove \"manager\" role while user has assigned projects\n   354→//   - Must remove all projects first before removing manager role\n   355→func (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n   356→\toldRole := strings.ToLower(queryrole)\n   357→\tuser, err := r.GetUser(username)\n   358→\tif err != nil {\n   359→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n   360→\t\treturn err\n   361→\t}\n   362→\n   363→\texists, valid := user.HasValidRole(oldRole)\n   364→\n   365→\tif !valid {\n   366→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n   367→\t}\n   368→\tif !exists {\n   369→\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n   370→\t}\n   371→\n   372→\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n   373→\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n   374→\t}\n   375→\n   376→\tvar newroles []string\n   377→\tfor _, r := range user.Roles {\n   378→\t\tif r != oldRole {\n   379→\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n   380→\t\t}\n   381→\t}\n   382→\n   383→\tmroles, _ := json.Marshal(newroles)\n   384→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n   385→\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n   386→\t\treturn err\n   387→\t}\n   388→\treturn nil\n   389→}\n   390→\n   391→// AddProject assigns a project to a manager user.\n   392→// Only users with the \"manager\" role can have assigned projects.\n   393→//\n   394→// Returns error if:\n   395→//   - User doesn't have manager role\n   396→//   - User already manages the project\n   397→func (r *UserRepository) AddProject(\n   398→\tctx context.Context,\n   399→\tusername string,\n   400→\tproject string,\n   401→) error {\n   402→\tuser, err := r.GetUser(username)\n   403→\tif err != nil {\n   404→\t\treturn err\n   405→\t}\n   406→\n   407→\tif !user.HasRole(schema.RoleManager) {\n   408→\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n   409→\t}\n   410→\n   411→\tif user.HasProject(project) {\n   412→\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n   413→\t}\n   414→\n   415→\tprojects, _ := json.Marshal(append(user.Projects, project))\n   416→\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n   417→\t\treturn err\n   418→\t}\n   419→\n   420→\treturn nil\n   421→}\n   422→\n   423→func (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n   424→\tuser, err := r.GetUser(username)\n   425→\tif err != nil {\n   426→\t\treturn err\n   427→\t}\n   428→\n   429→\tif !user.HasRole(schema.RoleManager) {\n   430→\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n   431→\t}\n   432→\n   433→\tif !user.HasProject(project) {\n   434→\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n   435→\t}\n   436→\n   437→\tvar exists bool\n   438→\tvar newprojects []string\n   439→\tfor _, p := range user.Projects {\n   440→\t\tif p != project {\n   441→\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n   442→\t\t} else {\n   443→\t\t\texists = true\n   444→\t\t}\n   445→\t}\n   446→\n   447→\tif exists {\n   448→\t\tvar result any\n   449→\t\tif len(newprojects) == 0 {\n   450→\t\t\tresult = \"[]\"\n   451→\t\t} else {\n   452→\t\t\tresult, _ = json.Marshal(newprojects)\n   453→\t\t}\n   454→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n   455→\t\t\treturn err\n   456→\t\t}\n   457→\t\treturn nil\n   458→\t} else {\n   459→\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n   460→\t}\n   461→}\n   462→\n   463→type ContextKey string\n   464→\n   465→const ContextUserKey ContextKey = \"user\"\n   466→\n   467→func GetUserFromContext(ctx context.Context) *schema.User {\n   468→\tx := ctx.Value(ContextUserKey)\n   469→\tif x == nil {\n   470→\t\tcclog.Warnf(\"no user retrieved from context\")\n   471→\t\treturn nil\n   472→\t}\n   473→\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n   474→\treturn x.(*schema.User)\n   475→}\n   476→\n   477→func (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n   478→\tme := GetUserFromContext(ctx)\n   479→\tif me != nil && me.Username != username &&\n   480→\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n   481→\t\treturn nil, errors.New(\"forbidden\")\n   482→\t}\n   483→\n   484→\tuser := &model.User{Username: username}\n   485→\tvar name, email sql.NullString\n   486→\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n   487→\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n   488→\t\tif err == sql.ErrNoRows {\n   489→\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n   490→\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n   491→\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n   492→\t\t\treturn nil, nil\n   493→\t\t}\n   494→\n   495→\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n   496→\t\treturn nil, err\n   497→\t}\n   498→\n   499→\tuser.Name = name.String\n   500→\tuser.Email = email.String\n   501→\treturn user, nil\n   502→}\n   503→"}]},"uuid":"26e7307a-8d39-4350-a911-4c4d39002d8f","timestamp":"2026-03-16T10:12:42.250Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"reflect\"\n\t\"strings\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"golang.org/x/crypto/bcrypt\"\n)\n\n// Authentication and Role System:\n//\n// ClusterCockpit supports multiple authentication sources:\n//   - Local: Username/password stored in database (password hashed with bcrypt)\n//   - LDAP: External LDAP/Active Directory authentication\n//   - JWT: Token-based authentication for API access\n//\n// Role Hierarchy (from highest to lowest privilege):\n//   1. \"admin\" - Full system access, can manage all users and jobs\n//   2. \"support\" - Can view all jobs but limited management capabilities\n//   3. \"manager\" - Can manage specific projects and their users\n//   4. \"api\" - Programmatic access for job submission/management\n//   5. \"user\" - Default role, can only view own jobs\n//\n// Project Association:\n//   - Managers have a list of projects they oversee\n//   - Regular users' project membership is determined by job data\n//   - Managers can view/manage all jobs within their projects\n\nvar (\n\tuserRepoOnce     sync.Once\n\tuserRepoInstance *UserRepository\n)\n\ntype UserRepository struct {\n\tDB     *sqlx.DB\n\tdriver string\n}\n\nfunc GetUserRepository() *UserRepository {\n\tuserRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tuserRepoInstance = &UserRepository{\n\t\t\tDB:     db.DB,\n\t\t\tdriver: db.Driver,\n\t\t}\n\t})\n\treturn userRepoInstance\n}\n\n// GetUser retrieves a user by username from the database.\n// Returns the complete user record including hashed password, roles, and projects.\n// Password field contains bcrypt hash for local auth users, empty for LDAP users.\nfunc (r *UserRepository) GetUser(username string) (*schema.User, error) {\n\tuser := &schema.User{Username: username}\n\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Password = hashedPassword.String\n\tuser.Name = name.String\n\tuser.Email = email.String\n\tif rawRoles.Valid {\n\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\tif rawProjects.Valid {\n\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn user, nil\n}\n\nfunc (r *UserRepository) GetLdapUsernames() ([]string, error) {\n\tvar users []string\n\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying usernames\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar username string\n\t\tif err := rows.Scan(&username); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tusers = append(users, username)\n\t}\n\n\treturn users, nil\n}\n\n// AddUser creates a new user in the database.\n// Passwords are automatically hashed with bcrypt before storage.\n// Auth source determines authentication method (local, LDAP, etc.).\n//\n// Required fields: Username, Roles\n// Optional fields: Name, Email, Password, Projects, AuthSource\nfunc (r *UserRepository) AddUser(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := []string{\"username\", \"roles\", \"projects\"}\n\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n\n\tif user.Name != \"\" {\n\t\tcols = append(cols, \"name\")\n\t\tvals = append(vals, user.Name)\n\t}\n\tif user.Email != \"\" {\n\t\tcols = append(cols, \"email\")\n\t\tvals = append(vals, user.Email)\n\t}\n\tif user.Password != \"\" {\n\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"Error while encrypting new user password\")\n\t\t\treturn err\n\t\t}\n\t\tcols = append(cols, \"password\")\n\t\tvals = append(vals, string(password))\n\t}\n\tif user.AuthSource != -1 {\n\t\tcols = append(cols, \"ldap\")\n\t\tvals = append(vals, int(user.AuthSource))\n\t}\n\n\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n\t\treturn err\n\t}\n\n\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n\n\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n\t} else if defaultMetricsCfg != nil {\n\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n\t\t\tif _, err := sq.Insert(\"configuration\").\n\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n\t\t\t} else {\n\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n\t\t\t}\n\t\t}\n\t}\n\t// END DEPRECATION\n\n\treturn nil\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n\t// user contains updated info -> Apply to dbUser\n\t// --- Simple Name Update ---\n\tif dbUser.Name != user.Name {\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Def Helpers ---\n\t// Helper to update roles\n\tupdateRoles := func(roles []string) error {\n\t\trolesJSON, _ := json.Marshal(roles)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to update projects\n\tupdateProjects := func(projects []string) error {\n\t\tprojectsJSON, _ := json.Marshal(projects)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to clear projects\n\tclearProjects := func() error {\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// --- Manager Role Handling ---\n\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n\t\t// Existing Manager: update projects\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Manager: update roles and projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n\t\t// Remove Manager: update roles and clear projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := clearProjects(); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Support Role Handling ---\n\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t// Remove Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) DelUser(username string) error {\n\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted user '%s' from DB\", username)\n\treturn nil\n}\n\nfunc (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n\tif specialsOnly {\n\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n\t}\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying user list\")\n\t\treturn nil, err\n\t}\n\n\tusers := make([]*schema.User, 0)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\trawroles := \"\"\n\t\trawprojects := \"\"\n\t\tuser := &schema.User{}\n\t\tvar name, email sql.NullString\n\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning user list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tuser.Name = name.String\n\t\tuser.Email = email.String\n\t\tusers = append(users, user)\n\t}\n\treturn users, nil\n}\n\n// AddRole adds a role to a user's role list.\n// Role string is automatically lowercased.\n// Valid roles: admin, support, manager, api, user\n//\n// Returns error if:\n//   - User doesn't exist\n//   - Role is invalid\n//   - User already has the role\nfunc (r *UserRepository) AddRole(\n\tctx context.Context,\n\tusername string,\n\tqueryrole string,\n) error {\n\tnewRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(newRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n\t}\n\tif exists {\n\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n\t}\n\n\troles, _ := json.Marshal(append(user.Roles, newRole))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// RemoveRole removes a role from a user's role list.\n//\n// Special rules:\n//   - Cannot remove \"manager\" role while user has assigned projects\n//   - Must remove all projects first before removing manager role\nfunc (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n\toldRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(oldRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n\t}\n\tif !exists {\n\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n\t}\n\n\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n\t}\n\n\tvar newroles []string\n\tfor _, r := range user.Roles {\n\t\tif r != oldRole {\n\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n\t\t}\n\t}\n\n\tmroles, _ := json.Marshal(newroles)\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// AddProject assigns a project to a manager user.\n// Only users with the \"manager\" role can have assigned projects.\n//\n// Returns error if:\n//   - User doesn't have manager role\n//   - User already manages the project\nfunc (r *UserRepository) AddProject(\n\tctx context.Context,\n\tusername string,\n\tproject string,\n) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n\t}\n\n\tif user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n\t}\n\n\tprojects, _ := json.Marshal(append(user.Projects, project))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n\t}\n\n\tif !user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n\t}\n\n\tvar exists bool\n\tvar newprojects []string\n\tfor _, p := range user.Projects {\n\t\tif p != project {\n\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n\t\t} else {\n\t\t\texists = true\n\t\t}\n\t}\n\n\tif exists {\n\t\tvar result any\n\t\tif len(newprojects) == 0 {\n\t\t\tresult = \"[]\"\n\t\t} else {\n\t\t\tresult, _ = json.Marshal(newprojects)\n\t\t}\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\t\treturn err\n\t\t}\n\t\treturn nil\n\t} else {\n\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n\t}\n}\n\ntype ContextKey string\n\nconst ContextUserKey ContextKey = \"user\"\n\nfunc GetUserFromContext(ctx context.Context) *schema.User {\n\tx := ctx.Value(ContextUserKey)\n\tif x == nil {\n\t\tcclog.Warnf(\"no user retrieved from context\")\n\t\treturn nil\n\t}\n\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n\treturn x.(*schema.User)\n}\n\nfunc (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n\tme := GetUserFromContext(ctx)\n\tif me != nil && me.Username != username &&\n\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"forbidden\")\n\t}\n\n\tuser := &model.User{Username: username}\n\tvar name, email sql.NullString\n\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n\t\t\treturn nil, nil\n\t\t}\n\n\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Name = name.String\n\tuser.Email = email.String\n\treturn user, nil\n}\n","numLines":503,"startLine":1,"totalLines":503}},"sourceToolAssistantUUID":"ab33adee-9926-4c38-af68-7a0b5d885ff8","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"794d5b22-e6b4-461a-8b60-f67f3e47e371","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01ScKNjBXsx7mQEXVVigVhmt","toolUseID":"toolu_01ScKNjBXsx7mQEXVVigVhmt","timestamp":"2026-03-16T10:12:42.716Z","uuid":"5244ba36-70c4-4a68-9b01-d3cd9e9c9030","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"794d5b22-e6b4-461a-8b60-f67f3e47e371","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ScKNjBXsx7mQEXVVigVhmt","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package auth\n     7→\n     8→import (\n     9→\t\"fmt\"\n    10→\t\"net\"\n    11→\t\"net/http\"\n    12→\t\"os\"\n    13→\t\"strings\"\n    14→\t\"time\"\n    15→\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    17→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    18→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    19→\t\"github.com/go-ldap/ldap/v3\"\n    20→)\n    21→\n    22→type LdapConfig struct {\n    23→\tURL             string `json:\"url\"`\n    24→\tUserBase        string `json:\"user-base\"`\n    25→\tSearchDN        string `json:\"search-dn\"`\n    26→\tUserBind        string `json:\"user-bind\"`\n    27→\tUserFilter      string `json:\"user-filter\"`\n    28→\tUserAttr        string `json:\"username-attr\"`\n    29→\tUIDAttr         string `json:\"uid-attr\"`\n    30→\tSyncInterval    string `json:\"sync-interval\"` // Parsed using time.ParseDuration.\n    31→\tSyncDelOldUsers bool   `json:\"sync-del-old-users\"`\n    32→\n    33→\t// Should a non-existent user be added to the DB if user exists in ldap directory\n    34→\tSyncUserOnLogin   bool `json:\"sync-user-on-login\"`\n    35→\tUpdateUserOnLogin bool `json:\"update-user-on-login\"`\n    36→}\n    37→\n    38→type LdapAuthenticator struct {\n    39→\tsyncPassword string\n    40→\tUserAttr     string\n    41→\tUIDAttr      string\n    42→}\n    43→\n    44→var _ Authenticator = (*LdapAuthenticator)(nil)\n    45→\n    46→func (la *LdapAuthenticator) Init() error {\n    47→\tla.syncPassword = os.Getenv(\"LDAP_ADMIN_PASSWORD\")\n    48→\tif la.syncPassword == \"\" {\n    49→\t\tcclog.Warn(\"environment variable 'LDAP_ADMIN_PASSWORD' not set (ldap sync will not work)\")\n    50→\t}\n    51→\n    52→\tif Keys.LdapConfig.UserAttr != \"\" {\n    53→\t\tla.UserAttr = Keys.LdapConfig.UserAttr\n    54→\t} else {\n    55→\t\tla.UserAttr = \"gecos\"\n    56→\t}\n    57→\n    58→\tif Keys.LdapConfig.UIDAttr != \"\" {\n    59→\t\tla.UIDAttr = Keys.LdapConfig.UIDAttr\n    60→\t} else {\n    61→\t\tla.UIDAttr = \"uid\"\n    62→\t}\n    63→\n    64→\treturn nil\n    65→}\n    66→\n    67→func (la *LdapAuthenticator) CanLogin(\n    68→\tuser *schema.User,\n    69→\tusername string,\n    70→\trw http.ResponseWriter,\n    71→\tr *http.Request,\n    72→) (*schema.User, bool) {\n    73→\tlc := Keys.LdapConfig\n    74→\n    75→\tif user != nil {\n    76→\t\tif user.AuthSource == schema.AuthViaLDAP {\n    77→\t\t\treturn user, true\n    78→\t\t}\n    79→\t} else if lc.SyncUserOnLogin {\n    80→\t\tl, err := la.getLdapConnection(true)\n    81→\t\tif err != nil {\n    82→\t\t\tcclog.Error(\"LDAP connection error\")\n    83→\t\t\treturn nil, false\n    84→\t\t}\n    85→\t\tdefer l.Close()\n    86→\n    87→\t\t// Search for the given username\n    88→\t\tsearchRequest := ldap.NewSearchRequest(\n    89→\t\t\tlc.UserBase,\n    90→\t\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n    91→\t\t\tfmt.Sprintf(\"(&%s(%s=%s))\", lc.UserFilter, la.UIDAttr, ldap.EscapeFilter(username)),\n    92→\t\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil)\n    93→\n    94→\t\tsr, err := l.Search(searchRequest)\n    95→\t\tif err != nil {\n    96→\t\t\tcclog.Warn(err)\n    97→\t\t\treturn nil, false\n    98→\t\t}\n    99→\n   100→\t\tif len(sr.Entries) != 1 {\n   101→\t\t\tcclog.Warn(\"LDAP: User does not exist or too many entries returned\")\n   102→\t\t\treturn nil, false\n   103→\t\t}\n   104→\n   105→\t\tentry := sr.Entries[0]\n   106→\t\tuser = &schema.User{\n   107→\t\t\tUsername:   username,\n   108→\t\t\tName:       entry.GetAttributeValue(la.UserAttr),\n   109→\t\t\tRoles:      []string{schema.GetRoleString(schema.RoleUser)},\n   110→\t\t\tProjects:   make([]string, 0),\n   111→\t\t\tAuthType:   schema.AuthSession,\n   112→\t\t\tAuthSource: schema.AuthViaLDAP,\n   113→\t\t}\n   114→\n   115→\t\thandleLdapUser(user)\n   116→\t\treturn user, true\n   117→\t}\n   118→\n   119→\treturn nil, false\n   120→}\n   121→\n   122→func (la *LdapAuthenticator) Login(\n   123→\tuser *schema.User,\n   124→\trw http.ResponseWriter,\n   125→\tr *http.Request,\n   126→) (*schema.User, error) {\n   127→\tl, err := la.getLdapConnection(false)\n   128→\tif err != nil {\n   129→\t\tcclog.Warn(\"Error while getting ldap connection\")\n   130→\t\treturn nil, err\n   131→\t}\n   132→\tdefer l.Close()\n   133→\n   134→\tuserDn := strings.ReplaceAll(Keys.LdapConfig.UserBind, \"{username}\", ldap.EscapeDN(user.Username))\n   135→\tif err := l.Bind(userDn, r.FormValue(\"password\")); err != nil {\n   136→\t\tcclog.Errorf(\"AUTH/LDAP > Authentication for user %s failed: %v\",\n   137→\t\t\tuser.Username, err)\n   138→\t\treturn nil, fmt.Errorf(\"Authentication failed\")\n   139→\t}\n   140→\n   141→\treturn user, nil\n   142→}\n   143→\n   144→func (la *LdapAuthenticator) Sync() error {\n   145→\tconst InDB int = 1\n   146→\tconst InLdap int = 2\n   147→\tconst InBoth int = 3\n   148→\tur := repository.GetUserRepository()\n   149→\tlc := Keys.LdapConfig\n   150→\n   151→\tusers := map[string]int{}\n   152→\tusernames, err := ur.GetLdapUsernames()\n   153→\tif err != nil {\n   154→\t\treturn err\n   155→\t}\n   156→\n   157→\tfor _, username := range usernames {\n   158→\t\tusers[username] = InDB\n   159→\t}\n   160→\n   161→\tl, err := la.getLdapConnection(true)\n   162→\tif err != nil {\n   163→\t\tcclog.Error(\"LDAP connection error\")\n   164→\t\treturn err\n   165→\t}\n   166→\tdefer l.Close()\n   167→\n   168→\tldapResults, err := l.Search(ldap.NewSearchRequest(\n   169→\t\tlc.UserBase,\n   170→\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n   171→\t\tlc.UserFilter,\n   172→\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil))\n   173→\tif err != nil {\n   174→\t\tcclog.Warn(\"LDAP search error\")\n   175→\t\treturn err\n   176→\t}\n   177→\n   178→\tnewnames := map[string]string{}\n   179→\tfor _, entry := range ldapResults.Entries {\n   180→\t\tusername := entry.GetAttributeValue(la.UIDAttr)\n   181→\t\tif username == \"\" {\n   182→\t\t\treturn fmt.Errorf(\"no attribute '%s'\", la.UIDAttr)\n   183→\t\t}\n   184→\n   185→\t\t_, ok := users[username]\n   186→\t\tif !ok {\n   187→\t\t\tusers[username] = InLdap\n   188→\t\t\tnewnames[username] = entry.GetAttributeValue(la.UserAttr)\n   189→\t\t} else {\n   190→\t\t\tusers[username] = InBoth\n   191→\t\t}\n   192→\t}\n   193→\n   194→\tfor username, where := range users {\n   195→\t\tif where == InDB && lc.SyncDelOldUsers {\n   196→\t\t\tif err := ur.DelUser(username); err != nil {\n   197→\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Delete from DB failed: %v\", username, err)\n   198→\t\t\t\treturn err\n   199→\t\t\t}\n   200→\t\t\tcclog.Debugf(\"sync: remove %v (does not show up in LDAP anymore)\", username)\n   201→\t\t} else if where == InLdap {\n   202→\t\t\tname := newnames[username]\n   203→\n   204→\t\t\tuser := &schema.User{\n   205→\t\t\t\tUsername:   username,\n   206→\t\t\t\tName:       name,\n   207→\t\t\t\tRoles:      []string{schema.GetRoleString(schema.RoleUser)},\n   208→\t\t\t\tProjects:   make([]string, 0),\n   209→\t\t\t\tAuthSource: schema.AuthViaLDAP,\n   210→\t\t\t}\n   211→\n   212→\t\t\tcclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)\n   213→\t\t\tif err := ur.AddUser(user); err != nil {\n   214→\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)\n   215→\t\t\t\treturn err\n   216→\t\t\t}\n   217→\t\t}\n   218→\t}\n   219→\n   220→\treturn nil\n   221→}\n   222→\n   223→func (la *LdapAuthenticator) getLdapConnection(admin bool) (*ldap.Conn, error) {\n   224→\tlc := Keys.LdapConfig\n   225→\tconn, err := ldap.DialURL(lc.URL,\n   226→\t\tldap.DialWithDialer(&net.Dialer{Timeout: 10 * time.Second}))\n   227→\tif err != nil {\n   228→\t\tcclog.Warn(\"LDAP URL dial failed\")\n   229→\t\treturn nil, err\n   230→\t}\n   231→\tconn.SetTimeout(30 * time.Second)\n   232→\n   233→\tif admin {\n   234→\t\tif err := conn.Bind(lc.SearchDN, la.syncPassword); err != nil {\n   235→\t\t\tconn.Close()\n   236→\t\t\tcclog.Warn(\"LDAP connection bind failed\")\n   237→\t\t\treturn nil, err\n   238→\t\t}\n   239→\t}\n   240→\n   241→\treturn conn, nil\n   242→}\n   243→"}]},"uuid":"88e19298-997f-4e34-93a8-9b98c3bbbe57","timestamp":"2026-03-16T10:12:42.716Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/auth/ldap.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage auth\n\nimport (\n\t\"fmt\"\n\t\"net\"\n\t\"net/http\"\n\t\"os\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/go-ldap/ldap/v3\"\n)\n\ntype LdapConfig struct {\n\tURL             string `json:\"url\"`\n\tUserBase        string `json:\"user-base\"`\n\tSearchDN        string `json:\"search-dn\"`\n\tUserBind        string `json:\"user-bind\"`\n\tUserFilter      string `json:\"user-filter\"`\n\tUserAttr        string `json:\"username-attr\"`\n\tUIDAttr         string `json:\"uid-attr\"`\n\tSyncInterval    string `json:\"sync-interval\"` // Parsed using time.ParseDuration.\n\tSyncDelOldUsers bool   `json:\"sync-del-old-users\"`\n\n\t// Should a non-existent user be added to the DB if user exists in ldap directory\n\tSyncUserOnLogin   bool `json:\"sync-user-on-login\"`\n\tUpdateUserOnLogin bool `json:\"update-user-on-login\"`\n}\n\ntype LdapAuthenticator struct {\n\tsyncPassword string\n\tUserAttr     string\n\tUIDAttr      string\n}\n\nvar _ Authenticator = (*LdapAuthenticator)(nil)\n\nfunc (la *LdapAuthenticator) Init() error {\n\tla.syncPassword = os.Getenv(\"LDAP_ADMIN_PASSWORD\")\n\tif la.syncPassword == \"\" {\n\t\tcclog.Warn(\"environment variable 'LDAP_ADMIN_PASSWORD' not set (ldap sync will not work)\")\n\t}\n\n\tif Keys.LdapConfig.UserAttr != \"\" {\n\t\tla.UserAttr = Keys.LdapConfig.UserAttr\n\t} else {\n\t\tla.UserAttr = \"gecos\"\n\t}\n\n\tif Keys.LdapConfig.UIDAttr != \"\" {\n\t\tla.UIDAttr = Keys.LdapConfig.UIDAttr\n\t} else {\n\t\tla.UIDAttr = \"uid\"\n\t}\n\n\treturn nil\n}\n\nfunc (la *LdapAuthenticator) CanLogin(\n\tuser *schema.User,\n\tusername string,\n\trw http.ResponseWriter,\n\tr *http.Request,\n) (*schema.User, bool) {\n\tlc := Keys.LdapConfig\n\n\tif user != nil {\n\t\tif user.AuthSource == schema.AuthViaLDAP {\n\t\t\treturn user, true\n\t\t}\n\t} else if lc.SyncUserOnLogin {\n\t\tl, err := la.getLdapConnection(true)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"LDAP connection error\")\n\t\t\treturn nil, false\n\t\t}\n\t\tdefer l.Close()\n\n\t\t// Search for the given username\n\t\tsearchRequest := ldap.NewSearchRequest(\n\t\t\tlc.UserBase,\n\t\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n\t\t\tfmt.Sprintf(\"(&%s(%s=%s))\", lc.UserFilter, la.UIDAttr, ldap.EscapeFilter(username)),\n\t\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil)\n\n\t\tsr, err := l.Search(searchRequest)\n\t\tif err != nil {\n\t\t\tcclog.Warn(err)\n\t\t\treturn nil, false\n\t\t}\n\n\t\tif len(sr.Entries) != 1 {\n\t\t\tcclog.Warn(\"LDAP: User does not exist or too many entries returned\")\n\t\t\treturn nil, false\n\t\t}\n\n\t\tentry := sr.Entries[0]\n\t\tuser = &schema.User{\n\t\t\tUsername:   username,\n\t\t\tName:       entry.GetAttributeValue(la.UserAttr),\n\t\t\tRoles:      []string{schema.GetRoleString(schema.RoleUser)},\n\t\t\tProjects:   make([]string, 0),\n\t\t\tAuthType:   schema.AuthSession,\n\t\t\tAuthSource: schema.AuthViaLDAP,\n\t\t}\n\n\t\thandleLdapUser(user)\n\t\treturn user, true\n\t}\n\n\treturn nil, false\n}\n\nfunc (la *LdapAuthenticator) Login(\n\tuser *schema.User,\n\trw http.ResponseWriter,\n\tr *http.Request,\n) (*schema.User, error) {\n\tl, err := la.getLdapConnection(false)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting ldap connection\")\n\t\treturn nil, err\n\t}\n\tdefer l.Close()\n\n\tuserDn := strings.ReplaceAll(Keys.LdapConfig.UserBind, \"{username}\", ldap.EscapeDN(user.Username))\n\tif err := l.Bind(userDn, r.FormValue(\"password\")); err != nil {\n\t\tcclog.Errorf(\"AUTH/LDAP > Authentication for user %s failed: %v\",\n\t\t\tuser.Username, err)\n\t\treturn nil, fmt.Errorf(\"Authentication failed\")\n\t}\n\n\treturn user, nil\n}\n\nfunc (la *LdapAuthenticator) Sync() error {\n\tconst InDB int = 1\n\tconst InLdap int = 2\n\tconst InBoth int = 3\n\tur := repository.GetUserRepository()\n\tlc := Keys.LdapConfig\n\n\tusers := map[string]int{}\n\tusernames, err := ur.GetLdapUsernames()\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tfor _, username := range usernames {\n\t\tusers[username] = InDB\n\t}\n\n\tl, err := la.getLdapConnection(true)\n\tif err != nil {\n\t\tcclog.Error(\"LDAP connection error\")\n\t\treturn err\n\t}\n\tdefer l.Close()\n\n\tldapResults, err := l.Search(ldap.NewSearchRequest(\n\t\tlc.UserBase,\n\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n\t\tlc.UserFilter,\n\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil))\n\tif err != nil {\n\t\tcclog.Warn(\"LDAP search error\")\n\t\treturn err\n\t}\n\n\tnewnames := map[string]string{}\n\tfor _, entry := range ldapResults.Entries {\n\t\tusername := entry.GetAttributeValue(la.UIDAttr)\n\t\tif username == \"\" {\n\t\t\treturn fmt.Errorf(\"no attribute '%s'\", la.UIDAttr)\n\t\t}\n\n\t\t_, ok := users[username]\n\t\tif !ok {\n\t\t\tusers[username] = InLdap\n\t\t\tnewnames[username] = entry.GetAttributeValue(la.UserAttr)\n\t\t} else {\n\t\t\tusers[username] = InBoth\n\t\t}\n\t}\n\n\tfor username, where := range users {\n\t\tif where == InDB && lc.SyncDelOldUsers {\n\t\t\tif err := ur.DelUser(username); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Delete from DB failed: %v\", username, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tcclog.Debugf(\"sync: remove %v (does not show up in LDAP anymore)\", username)\n\t\t} else if where == InLdap {\n\t\t\tname := newnames[username]\n\n\t\t\tuser := &schema.User{\n\t\t\t\tUsername:   username,\n\t\t\t\tName:       name,\n\t\t\t\tRoles:      []string{schema.GetRoleString(schema.RoleUser)},\n\t\t\t\tProjects:   make([]string, 0),\n\t\t\t\tAuthSource: schema.AuthViaLDAP,\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)\n\t\t\tif err := ur.AddUser(user); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (la *LdapAuthenticator) getLdapConnection(admin bool) (*ldap.Conn, error) {\n\tlc := Keys.LdapConfig\n\tconn, err := ldap.DialURL(lc.URL,\n\t\tldap.DialWithDialer(&net.Dialer{Timeout: 10 * time.Second}))\n\tif err != nil {\n\t\tcclog.Warn(\"LDAP URL dial failed\")\n\t\treturn nil, err\n\t}\n\tconn.SetTimeout(30 * time.Second)\n\n\tif admin {\n\t\tif err := conn.Bind(lc.SearchDN, la.syncPassword); err != nil {\n\t\t\tconn.Close()\n\t\t\tcclog.Warn(\"LDAP connection bind failed\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn conn, nil\n}\n","numLines":243,"startLine":1,"totalLines":243}},"sourceToolAssistantUUID":"794d5b22-e6b4-461a-8b60-f67f3e47e371","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"e001baa9-61e4-45ac-b202-53caad8b525f","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GpAw7qx8NsDwkEM2UaDjvA","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"encoding/json\"\n    10→\t\"fmt\"\n    11→\n    12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    14→\tsq \"github.com/Masterminds/squirrel\"\n    15→)\n    16→\n    17→const NamedJobCacheInsert string = `INSERT INTO job_cache (\n    18→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n    19→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n    20→) VALUES (\n    21→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n    22→  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n    23→);`\n    24→\n    25→const NamedJobInsert string = `INSERT INTO job (\n    26→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n    27→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n    28→) VALUES (\n    29→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n    30→  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n    31→);`\n    32→\n    33→// InsertJobDirect inserts a job directly into the job table (not job_cache).\n    34→// Use this when the returned ID will be used for operations on the job table\n    35→// (e.g., adding tags), or for imported jobs that are already completed.\n    36→func (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n    37→\tr.Mutex.Lock()\n    38→\tdefer r.Mutex.Unlock()\n    39→\n    40→\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n    41→\tif err != nil {\n    42→\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n    43→\t\treturn 0, err\n    44→\t}\n    45→\tid, err := res.LastInsertId()\n    46→\tif err != nil {\n    47→\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n    48→\t\treturn 0, err\n    49→\t}\n    50→\n    51→\treturn id, nil\n    52→}\n    53→\n    54→func (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n    55→\tr.Mutex.Lock()\n    56→\tdefer r.Mutex.Unlock()\n    57→\n    58→\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n    59→\tif err != nil {\n    60→\t\tcclog.Warn(\"Error while NamedJobInsert\")\n    61→\t\treturn 0, err\n    62→\t}\n    63→\tid, err := res.LastInsertId()\n    64→\tif err != nil {\n    65→\t\tcclog.Warn(\"Error while getting last insert ID\")\n    66→\t\treturn 0, err\n    67→\t}\n    68→\n    69→\treturn id, nil\n    70→}\n    71→\n    72→func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n    73→\tr.Mutex.Lock()\n    74→\tdefer r.Mutex.Unlock()\n    75→\n    76→\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n    77→\n    78→\trows, err := query.RunWith(r.stmtCache).Query()\n    79→\tif err != nil {\n    80→\t\tcclog.Errorf(\"Error while running query %v\", err)\n    81→\t\treturn nil, err\n    82→\t}\n    83→\tdefer rows.Close()\n    84→\n    85→\tjobs := make([]*schema.Job, 0, 50)\n    86→\tfor rows.Next() {\n    87→\t\tjob, err := scanJob(rows)\n    88→\t\tif err != nil {\n    89→\t\t\tcclog.Warn(\"Error while scanning rows\")\n    90→\t\t\treturn nil, err\n    91→\t\t}\n    92→\t\tjobs = append(jobs, job)\n    93→\t}\n    94→\n    95→\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n    96→\t_, err = r.DB.Exec(\n    97→\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n    98→\tif err != nil {\n    99→\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n   100→\t\treturn nil, err\n   101→\t}\n   102→\n   103→\t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n   104→\tif err != nil {\n   105→\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n   106→\t\treturn nil, err\n   107→\t}\n   108→\n   109→\t// Resolve correct job.id from the job table. The IDs read from job_cache\n   110→\t// are from a different auto-increment sequence and must not be used to\n   111→\t// query the job table.\n   112→\tfor _, job := range jobs {\n   113→\t\tvar newID int64\n   114→\t\tif err := sq.Select(\"job.id\").From(\"job\").\n   115→\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n   116→\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n   117→\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n   118→\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n   119→\t\t\t\tjob.JobID, job.Cluster, err)\n   120→\t\t\tcontinue\n   121→\t\t}\n   122→\t\tjob.ID = &newID\n   123→\t}\n   124→\n   125→\treturn jobs, nil\n   126→}\n   127→\n   128→// TransferCachedJobToMain moves a job from job_cache to the job table.\n   129→// Caller must hold r.Mutex. Returns the new job table ID.\n   130→func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n   131→\tres, err := r.DB.Exec(\n   132→\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n   133→\t\tcacheID)\n   134→\tif err != nil {\n   135→\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n   136→\t}\n   137→\n   138→\tnewID, err := res.LastInsertId()\n   139→\tif err != nil {\n   140→\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n   141→\t}\n   142→\n   143→\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n   144→\tif err != nil {\n   145→\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n   146→\t}\n   147→\n   148→\treturn newID, nil\n   149→}\n   150→\n   151→// Start inserts a new job in the table, returning the unique job ID.\n   152→// Statistics are not transfered!\n   153→func (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n   154→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   155→\tif err != nil {\n   156→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n   157→\t}\n   158→\n   159→\tjob.RawResources, err = json.Marshal(job.Resources)\n   160→\tif err != nil {\n   161→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n   162→\t}\n   163→\n   164→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n   165→\tif err != nil {\n   166→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n   167→\t}\n   168→\n   169→\treturn r.InsertJob(job)\n   170→}\n   171→\n   172→// StartDirect inserts a new job directly into the job table (not job_cache).\n   173→// Use this when the returned ID will immediately be used for job table\n   174→// operations such as adding tags.\n   175→func (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n   176→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   177→\tif err != nil {\n   178→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n   179→\t}\n   180→\n   181→\tjob.RawResources, err = json.Marshal(job.Resources)\n   182→\tif err != nil {\n   183→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n   184→\t}\n   185→\n   186→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n   187→\tif err != nil {\n   188→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n   189→\t}\n   190→\n   191→\treturn r.InsertJobDirect(job)\n   192→}\n   193→\n   194→// Stop updates the job with the database id jobId using the provided arguments.\n   195→func (r *JobRepository) Stop(\n   196→\tjobID int64,\n   197→\tduration int32,\n   198→\tstate schema.JobState,\n   199→\tmonitoringStatus int32,\n   200→) (err error) {\n   201→\t// Invalidate cache entries as job state is changing\n   202→\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n   203→\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n   204→\n   205→\tstmt := sq.Update(\"job\").\n   206→\t\tSet(\"job_state\", state).\n   207→\t\tSet(\"duration\", duration).\n   208→\t\tSet(\"monitoring_status\", monitoringStatus).\n   209→\t\tWhere(\"job.id = ?\", jobID)\n   210→\n   211→\t_, err = stmt.RunWith(r.stmtCache).Exec()\n   212→\treturn err\n   213→}\n   214→"}]},"uuid":"b1410bed-082c-4942-bdc0-f810e807e257","timestamp":"2026-03-16T10:12:42.900Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"encoding/json\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst NamedJobCacheInsert string = `INSERT INTO job_cache (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n);`\n\nconst NamedJobInsert string = `INSERT INTO job (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n);`\n\n// InsertJobDirect inserts a job directly into the job table (not job_cache).\n// Use this when the returned ID will be used for operations on the job table\n// (e.g., adding tags), or for imported jobs that are already completed.\nfunc (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = r.DB.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}\n\n// TransferCachedJobToMain moves a job from job_cache to the job table.\n// Caller must hold r.Mutex. Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\treturn newID, nil\n}\n\n// Start inserts a new job in the table, returning the unique job ID.\n// Statistics are not transfered!\nfunc (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJob(job)\n}\n\n// StartDirect inserts a new job directly into the job table (not job_cache).\n// Use this when the returned ID will immediately be used for job table\n// operations such as adding tags.\nfunc (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJobDirect(job)\n}\n\n// Stop updates the job with the database id jobId using the provided arguments.\nfunc (r *JobRepository) Stop(\n\tjobID int64,\n\tduration int32,\n\tstate schema.JobState,\n\tmonitoringStatus int32,\n) (err error) {\n\t// Invalidate cache entries as job state is changing\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n\n\tstmt := sq.Update(\"job\").\n\t\tSet(\"job_state\", state).\n\t\tSet(\"duration\", duration).\n\t\tSet(\"monitoring_status\", monitoringStatus).\n\t\tWhere(\"job.id = ?\", jobID)\n\n\t_, err = stmt.RunWith(r.stmtCache).Exec()\n\treturn err\n}\n","numLines":214,"startLine":1,"totalLines":214}},"sourceToolAssistantUUID":"e001baa9-61e4-45ac-b202-53caad8b525f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport \"time\"\n\n// RepositoryConfig holds configuration for repository operations.\n// All fields have sensible defaults, so this configuration is optional.\ntype RepositoryConfig struct {\n\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n\t// Default: 1MB (1024 * 1024 bytes)\n\tCacheSize int\n\n\t// MaxOpenConnections is the maximum number of open database connections.\n\t// Default: 4\n\tMaxOpenConnections int\n\n\t// MaxIdleConnections is the maximum number of idle database connections.\n\t// Default: 4\n\tMaxIdleConnections int\n\n\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n\t// Default: 1 hour\n\tConnectionMaxLifetime time.Duration\n\n\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n\t// Default: 10 minutes\n\tConnectionMaxIdleTime time.Duration\n\n\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n\t// considered in \"running jobs\" queries. This filters out very short jobs.\n\t// Default: 600 seconds (10 minutes)\n\tMinRunningJobDuration int\n\n\t// DbCacheSizeMB is the SQLite page cache size per connection in MB.\n\t// Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n\t// and DbCacheSizeMB=2048, total page cache is up to 8GB.\n\t// Default: 2048 (2GB)\n\tDbCacheSizeMB int\n\n\t// DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n\t// SQLite will try to release cache pages to stay under this limit.\n\t// It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n\t// Default: 16384 (16GB)\n\tDbSoftHeapLimitMB int\n}\n\n// DefaultConfig returns the default repository configuration.\n// These values are optimized for typical deployments.\nfunc DefaultConfig() *RepositoryConfig {\n\treturn &RepositoryConfig{\n\t\tCacheSize:             1 * 1024 * 1024, // 1MB\n\t\tMaxOpenConnections:    4,\n\t\tMaxIdleConnections:    4,\n\t\tConnectionMaxLifetime: time.Hour,\n\t\tConnectionMaxIdleTime: 10 * time.Minute,\n\t\tMinRunningJobDuration: 600, // 10 minutes\n\t\tDbCacheSizeMB:        2048,  // 2GB per connection\n\t\tDbSoftHeapLimitMB:    16384, // 16GB process-wide\n\t}\n}\n\n// repoConfig is the package-level configuration instance.\n// It is initialized with defaults and can be overridden via SetConfig.\nvar repoConfig *RepositoryConfig = DefaultConfig()\n\n// SetConfig sets the repository configuration.\n// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n// If not called, default values from DefaultConfig() are used.\nfunc SetConfig(cfg *RepositoryConfig) {\n\tif cfg != nil {\n\t\trepoConfig = cfg\n\t}\n}\n\n// GetConfig returns the current repository configuration.\nfunc GetConfig() *RepositoryConfig {\n\treturn repoConfig\n}\n","structuredPatch":[{"oldStart":46,"oldLines":6,"newStart":46,"newLines":12,"lines":["   // It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.","   // Default: 16384 (16GB)","   DbSoftHeapLimitMB int","+","+  // BusyTimeoutMs is the SQLite busy_timeout in milliseconds.","+  // When a write is blocked by another writer, SQLite retries internally","+  // using a backoff mechanism for up to this duration before returning SQLITE_BUSY.","+  // Default: 60000 (60 seconds)","+  BusyTimeoutMs int"," }"," "," // DefaultConfig returns the default repository configuration."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"7f4b63eb-7e62-4753-b51f-b435bf637b0c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"fmt\"\n\t\"net/url\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"github.com/mattn/go-sqlite3\"\n\t\"github.com/qustavo/sqlhooks/v2\"\n)\n\nvar (\n\tdbConnOnce     sync.Once\n\tdbConnInstance *DBConnection\n)\n\ntype DBConnection struct {\n\tDB     *sqlx.DB\n\tDriver string\n}\n\ntype DatabaseOptions struct {\n\tURL                   string\n\tMaxOpenConnections    int\n\tMaxIdleConnections    int\n\tConnectionMaxLifetime time.Duration\n\tConnectionMaxIdleTime time.Duration\n}\n\nfunc setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t\tfmt.Sprintf(\"soft_heap_limit = %d\", int64(cfg.DbSoftHeapLimitMB)*1024*1024),\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc Connect(db string) {\n\tvar err error\n\tvar dbHandle *sqlx.DB\n\n\tdbConnOnce.Do(func() {\n\t\topts := DatabaseOptions{\n\t\t\tURL:                   db,\n\t\t\tMaxOpenConnections:    repoConfig.MaxOpenConnections,\n\t\t\tMaxIdleConnections:    repoConfig.MaxIdleConnections,\n\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n\t\t}\n\n\t\t// TODO: Have separate DB handles for Writes and Reads\n\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n\t\tconnectionURLParams := make(url.Values)\n\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n\t\tcacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\n\t\tconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))\n\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n\n\t\tif cclog.Loglevel() == \"debug\" {\n\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n\t\t} else {\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n\t\t}\n\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\terr = setupSqlite(dbHandle.DB, repoConfig)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tcclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n\t\t\trepoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n\n\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n\t\terr = checkDBVersion(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n\t\t}\n\t})\n}\n\nfunc GetConnection() *DBConnection {\n\tif dbConnInstance == nil {\n\t\tcclog.Fatalf(\"Database connection not initialized!\")\n\t}\n\n\treturn dbConnInstance\n}\n\n// ResetConnection closes the current database connection and resets the connection state.\n// This function is intended for testing purposes only to allow test isolation.\nfunc ResetConnection() error {\n\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n\t\tif err := dbConnInstance.DB.Close(); err != nil {\n\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n\t\t}\n\t}\n\n\tdbConnInstance = nil\n\tdbConnOnce = sync.Once{}\n\tjobRepoInstance = nil\n\tjobRepoOnce = sync.Once{}\n\tnodeRepoInstance = nil\n\tnodeRepoOnce = sync.Once{}\n\tuserRepoInstance = nil\n\tuserRepoOnce = sync.Once{}\n\tuserCfgRepoInstance = nil\n\tuserCfgRepoOnce = sync.Once{}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":70,"oldLines":7,"newStart":70,"newLines":7,"lines":["     connectionURLParams := make(url.Values)","     connectionURLParams.Add(\"_txlock\", \"immediate\")","     connectionURLParams.Add(\"_journal_mode\", \"WAL\")","-    connectionURLParams.Add(\"_busy_timeout\", \"5000\")","+    connectionURLParams.Add(\"_busy_timeout\", fmt.Sprintf(\"%d\", repoConfig.BusyTimeoutMs))","     connectionURLParams.Add(\"_synchronous\", \"NORMAL\")","     cacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB","     connectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"61721dc8-d1c5-4347-931f-d7051b5cc537","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage archive\n\nimport (\n\t\"bytes\"\n\t\"compress/gzip\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"slices\"\n\t\"strconv\"\n\t\"sync\"\n\t\"text/tabwriter\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t_ \"github.com/mattn/go-sqlite3\"\n)\n\n// SqliteArchiveConfig holds the configuration for the SQLite archive backend.\ntype SqliteArchiveConfig struct {\n\tDBPath string `json:\"db-path\"` // Path to SQLite database file\n}\n\n// SqliteArchive implements ArchiveBackend using a SQLite database with BLOB storage.\n// Job metadata and data are stored as JSON BLOBs with indexes for fast queries.\n//\n// Uses WAL (Write-Ahead Logging) mode for better concurrency and a 64MB cache.\ntype SqliteArchive struct {\n\tdb       *sql.DB  // SQLite database connection\n\tclusters []string // List of discovered cluster names\n}\n\n// sqliteSchema defines the database schema for SQLite archive backend.\n// Jobs table: stores job metadata and data as BLOBs with compression flag\n// Clusters table: stores cluster configurations\n// Metadata table: stores version and other key-value pairs\nconst sqliteSchema = `\nCREATE TABLE IF NOT EXISTS jobs (\n    id INTEGER PRIMARY KEY AUTOINCREMENT,\n    job_id INTEGER NOT NULL,\n    cluster TEXT NOT NULL,\n    start_time INTEGER NOT NULL,\n    meta_json BLOB NOT NULL,\n    data_json BLOB,\n    data_compressed BOOLEAN DEFAULT 0,\n    created_at INTEGER NOT NULL,\n    updated_at INTEGER NOT NULL,\n    UNIQUE(job_id, cluster, start_time)\n);\n\nCREATE INDEX IF NOT EXISTS idx_jobs_cluster ON jobs(cluster);\nCREATE INDEX IF NOT EXISTS idx_jobs_start_time ON jobs(start_time);\nCREATE INDEX IF NOT EXISTS idx_jobs_order ON jobs(cluster, start_time);\nCREATE INDEX IF NOT EXISTS idx_jobs_lookup ON jobs(cluster, job_id, start_time);\n\nCREATE TABLE IF NOT EXISTS clusters (\n    name TEXT PRIMARY KEY,\n    config_json BLOB NOT NULL,\n    updated_at INTEGER NOT NULL\n);\n\nCREATE TABLE IF NOT EXISTS metadata (\n    key TEXT PRIMARY KEY,\n    value TEXT NOT NULL\n);\n`\n\nfunc (sa *SqliteArchive) Init(rawConfig json.RawMessage) (uint64, error) {\n\tvar cfg SqliteArchiveConfig\n\tif err := json.Unmarshal(rawConfig, &cfg); err != nil {\n\t\tcclog.Warnf(\"SqliteArchive Init() > Unmarshal error: %#v\", err)\n\t\treturn 0, err\n\t}\n\n\tif cfg.DBPath == \"\" {\n\t\terr := fmt.Errorf(\"SqliteArchive Init(): empty database path\")\n\t\tcclog.Errorf(\"SqliteArchive Init() > config error: %v\", err)\n\t\treturn 0, err\n\t}\n\n\t// Open SQLite database\n\tdb, err := sql.Open(\"sqlite3\", cfg.DBPath)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to open database: %v\", err)\n\t\treturn 0, err\n\t}\n\tsa.db = db\n\n\t// Set pragmas for better performance\n\tpragmas := []string{\n\t\t\"PRAGMA journal_mode=WAL\",\n\t\t\"PRAGMA synchronous=NORMAL\",\n\t\t\"PRAGMA cache_size=-64000\", // 64MB cache\n\t\t\"PRAGMA busy_timeout=5000\",\n\t}\n\tfor _, pragma := range pragmas {\n\t\tif _, err := sa.db.Exec(pragma); err != nil {\n\t\t\tcclog.Warnf(\"SqliteArchive Init() > pragma failed: %v\", err)\n\t\t}\n\t}\n\n\t// Create schema\n\tif _, err := sa.db.Exec(sqliteSchema); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > schema creation failed: %v\", err)\n\t\treturn 0, err\n\t}\n\n\t// Check/set version\n\tvar versionStr string\n\terr = sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'version'\").Scan(&versionStr)\n\tif err == sql.ErrNoRows {\n\t\t// First time initialization, set version\n\t\t_, err = sa.db.Exec(\"INSERT INTO metadata (key, value) VALUES ('version', ?)\", fmt.Sprintf(\"%d\", Version))\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to set version: %v\", err)\n\t\t\treturn 0, err\n\t\t}\n\t\tversionStr = fmt.Sprintf(\"%d\", Version)\n\t} else if err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to read version: %v\", err)\n\t\treturn 0, err\n\t}\n\n\tversion, err := strconv.ParseUint(versionStr, 10, 64)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > version parse error: %v\", err)\n\t\treturn 0, err\n\t}\n\n\tif version != Version {\n\t\treturn version, fmt.Errorf(\"unsupported version %d, need %d\", version, Version)\n\t}\n\n\t// Discover clusters\n\tsa.clusters = []string{}\n\trows, err := sa.db.Query(\"SELECT DISTINCT cluster FROM jobs ORDER BY cluster\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to query clusters: %v\", err)\n\t\treturn 0, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar cluster string\n\t\tif err := rows.Scan(&cluster); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to scan cluster: %v\", err)\n\t\t\tcontinue\n\t\t}\n\t\tsa.clusters = append(sa.clusters, cluster)\n\t}\n\n\tcclog.Infof(\"SqliteArchive initialized with database '%s', found %d clusters\", cfg.DBPath, len(sa.clusters))\n\treturn version, nil\n}\n\nfunc (sa *SqliteArchive) Info() {\n\tfmt.Printf(\"SQLite Job archive database\\n\")\n\n\tci := make(map[string]*clusterInfo)\n\n\trows, err := sa.db.Query(`\n\t\tSELECT cluster, COUNT(*), MIN(start_time), MAX(start_time),\n\t\t       SUM(LENGTH(meta_json) + COALESCE(LENGTH(data_json), 0))\n\t\tFROM jobs\n\t\tGROUP BY cluster\n\t`)\n\tif err != nil {\n\t\tcclog.Fatalf(\"SqliteArchive Info() > query failed: %s\", err.Error())\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar cluster string\n\t\tvar numJobs int\n\t\tvar dateFirst, dateLast int64\n\t\tvar diskSize int64\n\n\t\tif err := rows.Scan(&cluster, &numJobs, &dateFirst, &dateLast, &diskSize); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Info() > scan failed: %v\", err)\n\t\t\tcontinue\n\t\t}\n\n\t\tci[cluster] = &clusterInfo{\n\t\t\tnumJobs:   numJobs,\n\t\t\tdateFirst: dateFirst,\n\t\t\tdateLast:  dateLast,\n\t\t\tdiskSize:  float64(diskSize) / (1024 * 1024), // Convert to MB\n\t\t}\n\t}\n\n\tcit := clusterInfo{dateFirst: time.Now().Unix()}\n\tw := tabwriter.NewWriter(os.Stdout, 0, 0, 2, ' ', tabwriter.Debug)\n\tfmt.Fprintln(w, \"cluster\\t#jobs\\tfrom\\tto\\tsize (MB)\")\n\tfor cluster, clusterInfo := range ci {\n\t\tfmt.Fprintf(w, \"%s\\t%d\\t%s\\t%s\\t%.2f\\n\", cluster,\n\t\t\tclusterInfo.numJobs,\n\t\t\ttime.Unix(clusterInfo.dateFirst, 0),\n\t\t\ttime.Unix(clusterInfo.dateLast, 0),\n\t\t\tclusterInfo.diskSize)\n\n\t\tcit.numJobs += clusterInfo.numJobs\n\t\tcit.dateFirst = util.Min(cit.dateFirst, clusterInfo.dateFirst)\n\t\tcit.dateLast = util.Max(cit.dateLast, clusterInfo.dateLast)\n\t\tcit.diskSize += clusterInfo.diskSize\n\t}\n\n\tfmt.Fprintf(w, \"TOTAL\\t%d\\t%s\\t%s\\t%.2f\\n\",\n\t\tcit.numJobs, time.Unix(cit.dateFirst, 0), time.Unix(cit.dateLast, 0), cit.diskSize)\n\tw.Flush()\n}\n\nfunc (sa *SqliteArchive) Exists(job *schema.Job) bool {\n\tvar count int\n\terr := sa.db.QueryRow(\"SELECT COUNT(*) FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&count)\n\treturn err == nil && count > 0\n}\n\nfunc (sa *SqliteArchive) LoadJobMeta(job *schema.Job) (*schema.Job, error) {\n\tvar metaBlob []byte\n\terr := sa.db.QueryRow(\"SELECT meta_json FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&metaBlob)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobMeta() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif config.Keys.Validate {\n\t\tif err := schema.Validate(schema.Meta, bytes.NewReader(metaBlob)); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"validate job meta: %v\", err)\n\t\t}\n\t}\n\n\treturn DecodeJobMeta(bytes.NewReader(metaBlob))\n}\n\nfunc (sa *SqliteArchive) LoadJobData(job *schema.Job) (schema.JobData, error) {\n\tvar dataBlob []byte\n\tvar compressed bool\n\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\n\tvar reader io.Reader = bytes.NewReader(dataBlob)\n\tif compressed {\n\t\tgzipReader, err := gzip.NewReader(reader)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > gzip error: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\tdefer gzipReader.Close()\n\t\treader = gzipReader\n\t}\n\n\tif config.Keys.Validate {\n\t\tdata, _ := io.ReadAll(reader)\n\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n\t\t\treturn schema.JobData{}, fmt.Errorf(\"validate job data: %v\", err)\n\t\t}\n\t\treturn DecodeJobData(bytes.NewReader(data), key)\n\t}\n\n\treturn DecodeJobData(reader, key)\n}\n\nfunc (sa *SqliteArchive) LoadJobStats(job *schema.Job) (schema.ScopedJobStats, error) {\n\tvar dataBlob []byte\n\tvar compressed bool\n\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\n\tvar reader io.Reader = bytes.NewReader(dataBlob)\n\tif compressed {\n\t\tgzipReader, err := gzip.NewReader(reader)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > gzip error: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\tdefer gzipReader.Close()\n\t\treader = gzipReader\n\t}\n\n\tif config.Keys.Validate {\n\t\tdata, _ := io.ReadAll(reader)\n\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"validate job data: %v\", err)\n\t\t}\n\t\treturn DecodeJobStats(bytes.NewReader(data), key)\n\t}\n\n\treturn DecodeJobStats(reader, key)\n}\n\nfunc (sa *SqliteArchive) LoadClusterCfg(name string) (*schema.Cluster, error) {\n\tvar configBlob []byte\n\terr := sa.db.QueryRow(\"SELECT config_json FROM clusters WHERE name = ?\", name).Scan(&configBlob)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadClusterCfg() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif config.Keys.Validate {\n\t\tif err := schema.Validate(schema.ClusterCfg, bytes.NewReader(configBlob)); err != nil {\n\t\t\tcclog.Warnf(\"Validate cluster config: %v\\n\", err)\n\t\t\treturn &schema.Cluster{}, fmt.Errorf(\"validate cluster config: %v\", err)\n\t\t}\n\t}\n\n\treturn DecodeCluster(bytes.NewReader(configBlob))\n}\n\nfunc (sa *SqliteArchive) StoreJobMeta(job *schema.Job) error {\n\tvar metaBuf bytes.Buffer\n\tif err := EncodeJobMeta(&metaBuf, job); err != nil {\n\t\tcclog.Error(\"SqliteArchive StoreJobMeta() > encoding error\")\n\t\treturn err\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, created_at, updated_at)\n\t\tVALUES (?, ?, ?, ?, ?, ?)\n\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n\t\t\tmeta_json = excluded.meta_json,\n\t\t\tupdated_at = excluded.updated_at\n\t`, job.JobID, job.Cluster, job.StartTime, metaBuf.Bytes(), now, now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive StoreJobMeta() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (sa *SqliteArchive) ImportJob(jobMeta *schema.Job, jobData *schema.JobData) error {\n\tvar metaBuf, dataBuf bytes.Buffer\n\tif err := EncodeJobMeta(&metaBuf, jobMeta); err != nil {\n\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding meta error\")\n\t\treturn err\n\t}\n\tif err := EncodeJobData(&dataBuf, jobData); err != nil {\n\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding data error\")\n\t\treturn err\n\t}\n\n\tvar dataBytes []byte\n\tvar compressed bool\n\n\tif dataBuf.Len() > 2000 {\n\t\tvar compressedBuf bytes.Buffer\n\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n\t\tif _, err := gzipWriter.Write(dataBuf.Bytes()); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip write error: %v\", err)\n\t\t\treturn err\n\t\t}\n\t\tif err := gzipWriter.Close(); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip close error: %v\", err)\n\t\t\treturn err\n\t\t}\n\t\tdataBytes = compressedBuf.Bytes()\n\t\tcompressed = true\n\t} else {\n\t\tdataBytes = dataBuf.Bytes()\n\t\tcompressed = false\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, data_json, data_compressed, created_at, updated_at)\n\t\tVALUES (?, ?, ?, ?, ?, ?, ?, ?)\n\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n\t\t\tmeta_json = excluded.meta_json,\n\t\t\tdata_json = excluded.data_json,\n\t\t\tdata_compressed = excluded.data_compressed,\n\t\t\tupdated_at = excluded.updated_at\n\t`, jobMeta.JobID, jobMeta.Cluster, jobMeta.StartTime, metaBuf.Bytes(), dataBytes, compressed, now, now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive ImportJob() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (sa *SqliteArchive) GetClusters() []string {\n\treturn sa.clusters\n}\n\nfunc (sa *SqliteArchive) CleanUp(jobs []*schema.Job) {\n\tstart := time.Now()\n\tcount := 0\n\n\ttx, err := sa.db.Begin()\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > transaction error: %v\", err)\n\t\treturn\n\t}\n\tdefer tx.Rollback()\n\n\tstmt, err := tx.Prepare(\"DELETE FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > prepare error: %v\", err)\n\t\treturn\n\t}\n\tdefer stmt.Close()\n\n\tfor _, job := range jobs {\n\t\tif job == nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() error: job is nil\")\n\t\t\tcontinue\n\t\t}\n\n\t\tif _, err := stmt.Exec(job.JobID, job.Cluster, job.StartTime); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() > delete error: %v\", err)\n\t\t} else {\n\t\t\tcount++\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > commit error: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Retention Service - Remove %d jobs from SQLite in %s\", count, time.Since(start))\n}\n\nfunc (sa *SqliteArchive) Move(jobs []*schema.Job, targetPath string) {\n\t// For SQLite, \"move\" means updating the cluster field or similar\n\t// This is interpretation-dependent; for now we'll just log\n\tcclog.Warnf(\"SqliteArchive Move() is not fully implemented - moves within database not applicable\")\n}\n\nfunc (sa *SqliteArchive) Clean(before int64, after int64) {\n\tif after == 0 {\n\t\tafter = math.MaxInt64\n\t}\n\n\tresult, err := sa.db.Exec(\"DELETE FROM jobs WHERE start_time < ? OR start_time > ?\", before, after)\n\tif err != nil {\n\t\tcclog.Fatalf(\"SqliteArchive Clean() > delete error: %s\", err.Error())\n\t}\n\n\trowsAffected, _ := result.RowsAffected()\n\tcclog.Infof(\"SqliteArchive Clean() removed %d jobs\", rowsAffected)\n}\n\nfunc (sa *SqliteArchive) Compress(jobs []*schema.Job) {\n\tvar cnt int\n\tstart := time.Now()\n\n\ttx, err := sa.db.Begin()\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > transaction error: %v\", err)\n\t\treturn\n\t}\n\tdefer tx.Rollback()\n\n\tstmt, err := tx.Prepare(\"UPDATE jobs SET data_json = ?, data_compressed = 1 WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > prepare error: %v\", err)\n\t\treturn\n\t}\n\tdefer stmt.Close()\n\n\tfor _, job := range jobs {\n\t\tvar dataBlob []byte\n\t\tvar compressed bool\n\t\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\t\tif err != nil || compressed || len(dataBlob) < 2000 {\n\t\t\tcontinue // Skip if error, already compressed, or too small\n\t\t}\n\n\t\t// Compress the data\n\t\tvar compressedBuf bytes.Buffer\n\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n\t\tif _, err := gzipWriter.Write(dataBlob); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Compress() > gzip error: %v\", err)\n\t\t\tgzipWriter.Close()\n\t\t\tcontinue\n\t\t}\n\t\tgzipWriter.Close()\n\n\t\tif _, err := stmt.Exec(compressedBuf.Bytes(), job.JobID, job.Cluster, job.StartTime); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Compress() > update error: %v\", err)\n\t\t} else {\n\t\t\tcnt++\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > commit error: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Compression Service - %d jobs in SQLite took %s\", cnt, time.Since(start))\n}\n\nfunc (sa *SqliteArchive) CompressLast(starttime int64) int64 {\n\tvar lastStr string\n\terr := sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'compress_last'\").Scan(&lastStr)\n\n\tvar last int64\n\tif err == sql.ErrNoRows {\n\t\tlast = starttime\n\t} else if err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CompressLast() > query error: %v\", err)\n\t\tlast = starttime\n\t} else {\n\t\tlast, err = strconv.ParseInt(lastStr, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CompressLast() > parse error: %v\", err)\n\t\t\tlast = starttime\n\t\t}\n\t}\n\n\tcclog.Infof(\"SqliteArchive CompressLast() - start %d last %d\", starttime, last)\n\n\t// Update timestamp\n\t_, err = sa.db.Exec(`\n\t\tINSERT INTO metadata (key, value) VALUES ('compress_last', ?)\n\t\tON CONFLICT(key) DO UPDATE SET value = excluded.value\n\t`, fmt.Sprintf(\"%d\", starttime))\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CompressLast() > update error: %v\", err)\n\t}\n\n\treturn last\n}\n\ntype sqliteJobRow struct {\n\tmetaBlob   []byte\n\tdataBlob   []byte\n\tcompressed bool\n}\n\nfunc (sa *SqliteArchive) Iter(loadMetricData bool) <-chan JobContainer {\n\tch := make(chan JobContainer)\n\n\tgo func() {\n\t\tdefer close(ch)\n\n\t\tconst chunkSize = 1000\n\t\toffset := 0\n\n\t\tvar query string\n\t\tif loadMetricData {\n\t\t\tquery = \"SELECT meta_json, data_json, data_compressed FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n\t\t} else {\n\t\t\tquery = \"SELECT meta_json FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n\t\t}\n\n\t\tnumWorkers := 4\n\t\tjobRows := make(chan sqliteJobRow, numWorkers*2)\n\t\tvar wg sync.WaitGroup\n\n\t\tfor range numWorkers {\n\t\t\twg.Go(func() {\n\t\t\t\tfor row := range jobRows {\n\t\t\t\t\tjob, err := DecodeJobMeta(bytes.NewReader(row.metaBlob))\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode meta error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\n\t\t\t\t\tif loadMetricData && row.dataBlob != nil {\n\t\t\t\t\t\tvar reader io.Reader = bytes.NewReader(row.dataBlob)\n\t\t\t\t\t\tif row.compressed {\n\t\t\t\t\t\t\tgzipReader, err := gzip.NewReader(reader)\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > gzip error: %v\", err)\n\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tdecompressed, err := io.ReadAll(gzipReader)\n\t\t\t\t\t\t\tgzipReader.Close()\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decompress error: %v\", err)\n\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\treader = bytes.NewReader(decompressed)\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\t\t\t\t\t\tjobData, err := DecodeJobData(reader, key)\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode data error: %v\", err)\n\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: &jobData}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else {\n\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\n\t\tfor {\n\t\t\trows, err := sa.db.Query(query, chunkSize, offset)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Fatalf(\"SqliteArchive Iter() > query error: %s\", err.Error())\n\t\t\t}\n\n\t\t\trowCount := 0\n\t\t\tfor rows.Next() {\n\t\t\t\tvar row sqliteJobRow\n\n\t\t\t\tif loadMetricData {\n\t\t\t\t\tif err := rows.Scan(&row.metaBlob, &row.dataBlob, &row.compressed); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif err := rows.Scan(&row.metaBlob); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\trow.dataBlob = nil\n\t\t\t\t\trow.compressed = false\n\t\t\t\t}\n\n\t\t\t\tjobRows <- row\n\t\t\t\trowCount++\n\t\t\t}\n\t\t\trows.Close()\n\n\t\t\tif rowCount < chunkSize {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\toffset += chunkSize\n\t\t}\n\n\t\tclose(jobRows)\n\t\twg.Wait()\n\t}()\n\n\treturn ch\n}\n\nfunc (sa *SqliteArchive) StoreClusterCfg(name string, config *schema.Cluster) error {\n\tvar configBuf bytes.Buffer\n\tif err := EncodeCluster(&configBuf, config); err != nil {\n\t\tcclog.Error(\"SqliteArchive StoreClusterCfg() > encoding error\")\n\t\treturn err\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO clusters (name, config_json, updated_at)\n\t\tVALUES (?, ?, ?)\n\t\tON CONFLICT(name) DO UPDATE SET\n\t\t\tconfig_json = excluded.config_json,\n\t\t\tupdated_at = excluded.updated_at\n\t`, name, configBuf.Bytes(), now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive StoreClusterCfg() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\t// Update clusters list if new\n\tfound := slices.Contains(sa.clusters, name)\n\tif !found {\n\t\tsa.clusters = append(sa.clusters, name)\n\t}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":102,"oldLines":7,"newStart":102,"newLines":7,"lines":["     \"PRAGMA journal_mode=WAL\",","     \"PRAGMA synchronous=NORMAL\",","     \"PRAGMA cache_size=-64000\", // 64MB cache","-    \"PRAGMA busy_timeout=5000\",","+    \"PRAGMA busy_timeout=60000\",","   }","   for _, pragma := range pragmas {","     if _, err := sa.db.Exec(pragma); err != nil {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"94ecafb1-e6a3-48e2-bfe6-f8d44e7872e4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"bd80c015-d925-4dda-9ef4-c17de72e4519","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Si41CcYiGJS7htJyRZAWE9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NqcSrvVk89yR55JTjfVyqJ","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go","old_string":"func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {","new_string":"// AddUserIfNotExists inserts a user only if the username does not already exist.\n// Uses INSERT OR IGNORE to avoid UNIQUE constraint errors when a user is\n// concurrently created (e.g., by a login while LDAP sync is running).\n// Unlike AddUser, this intentionally skips the deprecated default metrics config insertion.\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := \"username, name, roles, projects, ldap\"\n\t_, err := r.DB.Exec(\n\t\t`INSERT OR IGNORE INTO hpc_user (`+cols+`) VALUES (?, ?, ?, ?, ?)`,\n\t\tuser.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n\treturn err\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1320,"cache_read_input_tokens":66713,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1320},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6afAUESQvCcpF23cbnH","type":"assistant","uuid":"d8c87700-46e1-4aed-bb74-9a129f330bca","timestamp":"2026-03-16T10:13:08.817Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d8c87700-46e1-4aed-bb74-9a129f330bca","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01NqcSrvVk89yR55JTjfVyqJ","toolUseID":"toolu_01NqcSrvVk89yR55JTjfVyqJ","timestamp":"2026-03-16T10:13:08.825Z","uuid":"313b3b15-2243-427f-9e46-746efe480339","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d8c87700-46e1-4aed-bb74-9a129f330bca","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NqcSrvVk89yR55JTjfVyqJ","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go has been updated successfully."}]},"uuid":"1dcd7d16-6392-4be2-b84d-063eef53646b","timestamp":"2026-03-16T10:13:08.825Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go","oldString":"func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {","newString":"// AddUserIfNotExists inserts a user only if the username does not already exist.\n// Uses INSERT OR IGNORE to avoid UNIQUE constraint errors when a user is\n// concurrently created (e.g., by a login while LDAP sync is running).\n// Unlike AddUser, this intentionally skips the deprecated default metrics config insertion.\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := \"username, name, roles, projects, ldap\"\n\t_, err := r.DB.Exec(\n\t\t`INSERT OR IGNORE INTO hpc_user (`+cols+`) VALUES (?, ?, ?, ?, ?)`,\n\t\tuser.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n\treturn err\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"reflect\"\n\t\"strings\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"golang.org/x/crypto/bcrypt\"\n)\n\n// Authentication and Role System:\n//\n// ClusterCockpit supports multiple authentication sources:\n//   - Local: Username/password stored in database (password hashed with bcrypt)\n//   - LDAP: External LDAP/Active Directory authentication\n//   - JWT: Token-based authentication for API access\n//\n// Role Hierarchy (from highest to lowest privilege):\n//   1. \"admin\" - Full system access, can manage all users and jobs\n//   2. \"support\" - Can view all jobs but limited management capabilities\n//   3. \"manager\" - Can manage specific projects and their users\n//   4. \"api\" - Programmatic access for job submission/management\n//   5. \"user\" - Default role, can only view own jobs\n//\n// Project Association:\n//   - Managers have a list of projects they oversee\n//   - Regular users' project membership is determined by job data\n//   - Managers can view/manage all jobs within their projects\n\nvar (\n\tuserRepoOnce     sync.Once\n\tuserRepoInstance *UserRepository\n)\n\ntype UserRepository struct {\n\tDB     *sqlx.DB\n\tdriver string\n}\n\nfunc GetUserRepository() *UserRepository {\n\tuserRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tuserRepoInstance = &UserRepository{\n\t\t\tDB:     db.DB,\n\t\t\tdriver: db.Driver,\n\t\t}\n\t})\n\treturn userRepoInstance\n}\n\n// GetUser retrieves a user by username from the database.\n// Returns the complete user record including hashed password, roles, and projects.\n// Password field contains bcrypt hash for local auth users, empty for LDAP users.\nfunc (r *UserRepository) GetUser(username string) (*schema.User, error) {\n\tuser := &schema.User{Username: username}\n\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Password = hashedPassword.String\n\tuser.Name = name.String\n\tuser.Email = email.String\n\tif rawRoles.Valid {\n\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\tif rawProjects.Valid {\n\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn user, nil\n}\n\nfunc (r *UserRepository) GetLdapUsernames() ([]string, error) {\n\tvar users []string\n\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying usernames\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar username string\n\t\tif err := rows.Scan(&username); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tusers = append(users, username)\n\t}\n\n\treturn users, nil\n}\n\n// AddUser creates a new user in the database.\n// Passwords are automatically hashed with bcrypt before storage.\n// Auth source determines authentication method (local, LDAP, etc.).\n//\n// Required fields: Username, Roles\n// Optional fields: Name, Email, Password, Projects, AuthSource\nfunc (r *UserRepository) AddUser(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := []string{\"username\", \"roles\", \"projects\"}\n\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n\n\tif user.Name != \"\" {\n\t\tcols = append(cols, \"name\")\n\t\tvals = append(vals, user.Name)\n\t}\n\tif user.Email != \"\" {\n\t\tcols = append(cols, \"email\")\n\t\tvals = append(vals, user.Email)\n\t}\n\tif user.Password != \"\" {\n\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"Error while encrypting new user password\")\n\t\t\treturn err\n\t\t}\n\t\tcols = append(cols, \"password\")\n\t\tvals = append(vals, string(password))\n\t}\n\tif user.AuthSource != -1 {\n\t\tcols = append(cols, \"ldap\")\n\t\tvals = append(vals, int(user.AuthSource))\n\t}\n\n\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n\t\treturn err\n\t}\n\n\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n\n\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n\t} else if defaultMetricsCfg != nil {\n\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n\t\t\tif _, err := sq.Insert(\"configuration\").\n\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n\t\t\t} else {\n\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n\t\t\t}\n\t\t}\n\t}\n\t// END DEPRECATION\n\n\treturn nil\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n\t// user contains updated info -> Apply to dbUser\n\t// --- Simple Name Update ---\n\tif dbUser.Name != user.Name {\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Def Helpers ---\n\t// Helper to update roles\n\tupdateRoles := func(roles []string) error {\n\t\trolesJSON, _ := json.Marshal(roles)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to update projects\n\tupdateProjects := func(projects []string) error {\n\t\tprojectsJSON, _ := json.Marshal(projects)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to clear projects\n\tclearProjects := func() error {\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// --- Manager Role Handling ---\n\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n\t\t// Existing Manager: update projects\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Manager: update roles and projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n\t\t// Remove Manager: update roles and clear projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := clearProjects(); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Support Role Handling ---\n\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t// Remove Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) DelUser(username string) error {\n\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted user '%s' from DB\", username)\n\treturn nil\n}\n\nfunc (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n\tif specialsOnly {\n\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n\t}\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying user list\")\n\t\treturn nil, err\n\t}\n\n\tusers := make([]*schema.User, 0)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\trawroles := \"\"\n\t\trawprojects := \"\"\n\t\tuser := &schema.User{}\n\t\tvar name, email sql.NullString\n\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning user list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tuser.Name = name.String\n\t\tuser.Email = email.String\n\t\tusers = append(users, user)\n\t}\n\treturn users, nil\n}\n\n// AddRole adds a role to a user's role list.\n// Role string is automatically lowercased.\n// Valid roles: admin, support, manager, api, user\n//\n// Returns error if:\n//   - User doesn't exist\n//   - Role is invalid\n//   - User already has the role\nfunc (r *UserRepository) AddRole(\n\tctx context.Context,\n\tusername string,\n\tqueryrole string,\n) error {\n\tnewRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(newRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n\t}\n\tif exists {\n\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n\t}\n\n\troles, _ := json.Marshal(append(user.Roles, newRole))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// RemoveRole removes a role from a user's role list.\n//\n// Special rules:\n//   - Cannot remove \"manager\" role while user has assigned projects\n//   - Must remove all projects first before removing manager role\nfunc (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n\toldRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(oldRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n\t}\n\tif !exists {\n\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n\t}\n\n\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n\t}\n\n\tvar newroles []string\n\tfor _, r := range user.Roles {\n\t\tif r != oldRole {\n\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n\t\t}\n\t}\n\n\tmroles, _ := json.Marshal(newroles)\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// AddProject assigns a project to a manager user.\n// Only users with the \"manager\" role can have assigned projects.\n//\n// Returns error if:\n//   - User doesn't have manager role\n//   - User already manages the project\nfunc (r *UserRepository) AddProject(\n\tctx context.Context,\n\tusername string,\n\tproject string,\n) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n\t}\n\n\tif user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n\t}\n\n\tprojects, _ := json.Marshal(append(user.Projects, project))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n\t}\n\n\tif !user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n\t}\n\n\tvar exists bool\n\tvar newprojects []string\n\tfor _, p := range user.Projects {\n\t\tif p != project {\n\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n\t\t} else {\n\t\t\texists = true\n\t\t}\n\t}\n\n\tif exists {\n\t\tvar result any\n\t\tif len(newprojects) == 0 {\n\t\t\tresult = \"[]\"\n\t\t} else {\n\t\t\tresult, _ = json.Marshal(newprojects)\n\t\t}\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\t\treturn err\n\t\t}\n\t\treturn nil\n\t} else {\n\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n\t}\n}\n\ntype ContextKey string\n\nconst ContextUserKey ContextKey = \"user\"\n\nfunc GetUserFromContext(ctx context.Context) *schema.User {\n\tx := ctx.Value(ContextUserKey)\n\tif x == nil {\n\t\tcclog.Warnf(\"no user retrieved from context\")\n\t\treturn nil\n\t}\n\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n\treturn x.(*schema.User)\n}\n\nfunc (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n\tme := GetUserFromContext(ctx)\n\tif me != nil && me.Username != username &&\n\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"forbidden\")\n\t}\n\n\tuser := &model.User{Username: username}\n\tvar name, email sql.NullString\n\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n\t\t\treturn nil, nil\n\t\t}\n\n\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Name = name.String\n\tuser.Email = email.String\n\treturn user, nil\n}\n","structuredPatch":[{"oldStart":188,"oldLines":6,"newStart":188,"newLines":21,"lines":["   return nil"," }"," ","+// AddUserIfNotExists inserts a user only if the username does not already exist.","+// Uses INSERT OR IGNORE to avoid UNIQUE constraint errors when a user is","+// concurrently created (e.g., by a login while LDAP sync is running).","+// Unlike AddUser, this intentionally skips the deprecated default metrics config insertion.","+func (r *UserRepository) AddUserIfNotExists(user *schema.User) error {","+  rolesJson, _ := json.Marshal(user.Roles)","+  projectsJson, _ := json.Marshal(user.Projects)","+","+  cols := \"username, name, roles, projects, ldap\"","+  _, err := r.DB.Exec(","+    `INSERT OR IGNORE INTO hpc_user (`+cols+`) VALUES (?, ?, ?, ?, ?)`,","+    user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))","+  return err","+}","+"," func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {","   // user contains updated info -> Apply to dbUser","   // --- Simple Name Update ---"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"d8c87700-46e1-4aed-bb74-9a129f330bca","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage auth\n\nimport (\n\t\"fmt\"\n\t\"net\"\n\t\"net/http\"\n\t\"os\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/go-ldap/ldap/v3\"\n)\n\ntype LdapConfig struct {\n\tURL             string `json:\"url\"`\n\tUserBase        string `json:\"user-base\"`\n\tSearchDN        string `json:\"search-dn\"`\n\tUserBind        string `json:\"user-bind\"`\n\tUserFilter      string `json:\"user-filter\"`\n\tUserAttr        string `json:\"username-attr\"`\n\tUIDAttr         string `json:\"uid-attr\"`\n\tSyncInterval    string `json:\"sync-interval\"` // Parsed using time.ParseDuration.\n\tSyncDelOldUsers bool   `json:\"sync-del-old-users\"`\n\n\t// Should a non-existent user be added to the DB if user exists in ldap directory\n\tSyncUserOnLogin   bool `json:\"sync-user-on-login\"`\n\tUpdateUserOnLogin bool `json:\"update-user-on-login\"`\n}\n\ntype LdapAuthenticator struct {\n\tsyncPassword string\n\tUserAttr     string\n\tUIDAttr      string\n}\n\nvar _ Authenticator = (*LdapAuthenticator)(nil)\n\nfunc (la *LdapAuthenticator) Init() error {\n\tla.syncPassword = os.Getenv(\"LDAP_ADMIN_PASSWORD\")\n\tif la.syncPassword == \"\" {\n\t\tcclog.Warn(\"environment variable 'LDAP_ADMIN_PASSWORD' not set (ldap sync will not work)\")\n\t}\n\n\tif Keys.LdapConfig.UserAttr != \"\" {\n\t\tla.UserAttr = Keys.LdapConfig.UserAttr\n\t} else {\n\t\tla.UserAttr = \"gecos\"\n\t}\n\n\tif Keys.LdapConfig.UIDAttr != \"\" {\n\t\tla.UIDAttr = Keys.LdapConfig.UIDAttr\n\t} else {\n\t\tla.UIDAttr = \"uid\"\n\t}\n\n\treturn nil\n}\n\nfunc (la *LdapAuthenticator) CanLogin(\n\tuser *schema.User,\n\tusername string,\n\trw http.ResponseWriter,\n\tr *http.Request,\n) (*schema.User, bool) {\n\tlc := Keys.LdapConfig\n\n\tif user != nil {\n\t\tif user.AuthSource == schema.AuthViaLDAP {\n\t\t\treturn user, true\n\t\t}\n\t} else if lc.SyncUserOnLogin {\n\t\tl, err := la.getLdapConnection(true)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"LDAP connection error\")\n\t\t\treturn nil, false\n\t\t}\n\t\tdefer l.Close()\n\n\t\t// Search for the given username\n\t\tsearchRequest := ldap.NewSearchRequest(\n\t\t\tlc.UserBase,\n\t\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n\t\t\tfmt.Sprintf(\"(&%s(%s=%s))\", lc.UserFilter, la.UIDAttr, ldap.EscapeFilter(username)),\n\t\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil)\n\n\t\tsr, err := l.Search(searchRequest)\n\t\tif err != nil {\n\t\t\tcclog.Warn(err)\n\t\t\treturn nil, false\n\t\t}\n\n\t\tif len(sr.Entries) != 1 {\n\t\t\tcclog.Warn(\"LDAP: User does not exist or too many entries returned\")\n\t\t\treturn nil, false\n\t\t}\n\n\t\tentry := sr.Entries[0]\n\t\tuser = &schema.User{\n\t\t\tUsername:   username,\n\t\t\tName:       entry.GetAttributeValue(la.UserAttr),\n\t\t\tRoles:      []string{schema.GetRoleString(schema.RoleUser)},\n\t\t\tProjects:   make([]string, 0),\n\t\t\tAuthType:   schema.AuthSession,\n\t\t\tAuthSource: schema.AuthViaLDAP,\n\t\t}\n\n\t\thandleLdapUser(user)\n\t\treturn user, true\n\t}\n\n\treturn nil, false\n}\n\nfunc (la *LdapAuthenticator) Login(\n\tuser *schema.User,\n\trw http.ResponseWriter,\n\tr *http.Request,\n) (*schema.User, error) {\n\tl, err := la.getLdapConnection(false)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting ldap connection\")\n\t\treturn nil, err\n\t}\n\tdefer l.Close()\n\n\tuserDn := strings.ReplaceAll(Keys.LdapConfig.UserBind, \"{username}\", ldap.EscapeDN(user.Username))\n\tif err := l.Bind(userDn, r.FormValue(\"password\")); err != nil {\n\t\tcclog.Errorf(\"AUTH/LDAP > Authentication for user %s failed: %v\",\n\t\t\tuser.Username, err)\n\t\treturn nil, fmt.Errorf(\"Authentication failed\")\n\t}\n\n\treturn user, nil\n}\n\nfunc (la *LdapAuthenticator) Sync() error {\n\tconst InDB int = 1\n\tconst InLdap int = 2\n\tconst InBoth int = 3\n\tur := repository.GetUserRepository()\n\tlc := Keys.LdapConfig\n\n\tusers := map[string]int{}\n\tusernames, err := ur.GetLdapUsernames()\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tfor _, username := range usernames {\n\t\tusers[username] = InDB\n\t}\n\n\tl, err := la.getLdapConnection(true)\n\tif err != nil {\n\t\tcclog.Error(\"LDAP connection error\")\n\t\treturn err\n\t}\n\tdefer l.Close()\n\n\tldapResults, err := l.Search(ldap.NewSearchRequest(\n\t\tlc.UserBase,\n\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n\t\tlc.UserFilter,\n\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil))\n\tif err != nil {\n\t\tcclog.Warn(\"LDAP search error\")\n\t\treturn err\n\t}\n\n\tnewnames := map[string]string{}\n\tfor _, entry := range ldapResults.Entries {\n\t\tusername := entry.GetAttributeValue(la.UIDAttr)\n\t\tif username == \"\" {\n\t\t\treturn fmt.Errorf(\"no attribute '%s'\", la.UIDAttr)\n\t\t}\n\n\t\t_, ok := users[username]\n\t\tif !ok {\n\t\t\tusers[username] = InLdap\n\t\t\tnewnames[username] = entry.GetAttributeValue(la.UserAttr)\n\t\t} else {\n\t\t\tusers[username] = InBoth\n\t\t}\n\t}\n\n\tfor username, where := range users {\n\t\tif where == InDB && lc.SyncDelOldUsers {\n\t\t\tif err := ur.DelUser(username); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Delete from DB failed: %v\", username, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tcclog.Debugf(\"sync: remove %v (does not show up in LDAP anymore)\", username)\n\t\t} else if where == InLdap {\n\t\t\tname := newnames[username]\n\n\t\t\tuser := &schema.User{\n\t\t\t\tUsername:   username,\n\t\t\t\tName:       name,\n\t\t\t\tRoles:      []string{schema.GetRoleString(schema.RoleUser)},\n\t\t\t\tProjects:   make([]string, 0),\n\t\t\t\tAuthSource: schema.AuthViaLDAP,\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)\n\t\t\tif err := ur.AddUser(user); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (la *LdapAuthenticator) getLdapConnection(admin bool) (*ldap.Conn, error) {\n\tlc := Keys.LdapConfig\n\tconn, err := ldap.DialURL(lc.URL,\n\t\tldap.DialWithDialer(&net.Dialer{Timeout: 10 * time.Second}))\n\tif err != nil {\n\t\tcclog.Warn(\"LDAP URL dial failed\")\n\t\treturn nil, err\n\t}\n\tconn.SetTimeout(30 * time.Second)\n\n\tif admin {\n\t\tif err := conn.Bind(lc.SearchDN, la.syncPassword); err != nil {\n\t\t\tconn.Close()\n\t\t\tcclog.Warn(\"LDAP connection bind failed\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn conn, nil\n}\n","structuredPatch":[{"oldStart":210,"oldLines":7,"newStart":210,"newLines":7,"lines":["       }"," ","       cclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)","-      if err := ur.AddUser(user); err != nil {","+      if err := ur.AddUserIfNotExists(user); err != nil {","         cclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)","         return err","       }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"3c5446a0-7ebb-4e4d-a628-43081fdf6210","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"7956bad8-245f-4be0-b117-98737a7e1662","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SpSpXZdAKM2U8sZBhacLFJ","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go has been updated successfully."}]},"uuid":"3ffb462b-6cfb-46e9-ae85-f08a006b0ead","timestamp":"2026-03-16T10:13:26.419Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go","oldString":"// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {","newString":"// NodeStateUpdate holds the data needed to update one node's state in a batch operation.\ntype NodeStateUpdate struct {\n\tHostname  string\n\tCluster   string\n\tNodeState *schema.NodeStateDB\n}\n\n// BatchUpdateNodeStates inserts node state rows for multiple nodes in a single transaction.\n// For each node, it looks up (or creates) the node row, then inserts the state row.\n// This reduces lock acquisitions from 2*N to 1 for N nodes.\nfunc (r *NodeRepository) BatchUpdateNodeStates(updates []NodeStateUpdate) error {\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: begin transaction: %w\", err)\n\t}\n\tdefer tx.Rollback()\n\n\tstmtLookup, err := tx.Preparex(\"SELECT id FROM node WHERE hostname = ? AND cluster = ?\")\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare lookup: %w\", err)\n\t}\n\tdefer stmtLookup.Close()\n\n\tstmtInsertNode, err := tx.PrepareNamed(NamedNodeInsert)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare node insert: %w\", err)\n\t}\n\tdefer stmtInsertNode.Close()\n\n\tstmtInsertState, err := tx.PrepareNamed(NamedNodeStateInsert)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare state insert: %w\", err)\n\t}\n\tdefer stmtInsertState.Close()\n\n\tfor _, u := range updates {\n\t\tvar id int64\n\t\tif err := stmtLookup.QueryRow(u.Hostname, u.Cluster).Scan(&id); err != nil {\n\t\t\tif err == sql.ErrNoRows {\n\t\t\t\tsubcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)\n\t\t\t\tif scErr != nil {\n\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: subcluster lookup for '%s' in '%s': %v\", u.Hostname, u.Cluster, scErr)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tnode := schema.NodeDB{\n\t\t\t\t\tHostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,\n\t\t\t\t}\n\t\t\t\tres, insertErr := stmtInsertNode.Exec(&node)\n\t\t\t\tif insertErr != nil {\n\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tid, _ = res.LastInsertId()\n\t\t\t} else {\n\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: lookup node '%s': %v\", u.Hostname, err)\n\t\t\t\tcontinue\n\t\t\t}\n\t\t}\n\n\t\tu.NodeState.NodeID = id\n\t\tif _, err := stmtInsertState.Exec(u.NodeState); err != nil {\n\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert state for '%s': %v\", u.Hostname, err)\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: commit: %w\", err)\n\t}\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sort\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\tnodeRepoOnce     sync.Once\n\tnodeRepoInstance *NodeRepository\n)\n\ntype NodeRepository struct {\n\tDB        *sqlx.DB\n\tstmtCache *sq.StmtCache\n\tcache     *lrucache.Cache\n\tdriver    string\n}\n\nfunc GetNodeRepository() *NodeRepository {\n\tnodeRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tnodeRepoInstance = &NodeRepository{\n\t\t\tDB:     db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache:     lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn nodeRepoInstance\n}\n\n// latestStateCondition returns a squirrel expression that restricts node_state\n// rows to the latest per node_id using a correlated subquery.\n// Requires the query to join node and node_state tables.\nfunc latestStateCondition() sq.Sqlizer {\n\treturn sq.Expr(\n\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n\t)\n}\n\n// applyNodeFilters applies common NodeFilter conditions to a query that joins\n// the node and node_state tables with latestStateCondition.\nfunc applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\treturn query\n}\n\nfunc (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n\tstart := time.Now()\n\n\tRawMetaData := make([]byte, 0)\n\n\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n\t\tcclog.Warn(\"Error while scanning for node metadata\")\n\t\treturn nil, err\n\t}\n\n\tif len(RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tMetaData := make(map[string]string)\n\n\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn MetaData, nil\n}\n\nfunc (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tvar err error\n\t\tvar meta map[string]string\n\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n\t\t\treturn nil, err\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\nfunc (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.id = ?\", id).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n\t\tif metaErr != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n\t\t\treturn nil, metaErr\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\n// const NamedNodeInsert string = `\n// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n//\n//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n\nconst NamedNodeInsert string = `\nINSERT INTO node (hostname, cluster, subcluster)\n\tVALUES (:hostname, :cluster, :subcluster);`\n\n// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n// from a nodestate update from the job scheduler.\nfunc (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n\tvar err error\n\n\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\tnode.ID, err = res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\n\treturn node.ID, nil\n}\n\nconst NamedNodeStateInsert string = `\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n\n// TODO: Add real Monitoring Health State\n\n// UpdateNodeState is called from the Node REST API to add a row in the node state table\nfunc (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n\tvar id int64\n\n\tif err := sq.Select(\"id\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n\t\tQueryRow().Scan(&id); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tnode := schema.NodeDB{\n\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n\t\t\t}\n\t\t\tid, err = r.AddNode(&node)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n\t\t\treturn err\n\t\t}\n\t}\n\n\tnodeState.NodeID = id\n\n\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n\t\treturn err\n\t}\n\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n// \t\treturn err\n// \t}\n//\n// \treturn nil\n// }\n\n// NodeStateWithNode combines a node state row with denormalized node info.\ntype NodeStateWithNode struct {\n\tID              int64  `db:\"id\"`\n\tTimeStamp       int64  `db:\"time_stamp\"`\n\tNodeState       string `db:\"node_state\"`\n\tHealthState     string `db:\"health_state\"`\n\tHealthMetrics   string `db:\"health_metrics\"`\n\tCpusAllocated   int    `db:\"cpus_allocated\"`\n\tMemoryAllocated int64  `db:\"memory_allocated\"`\n\tGpusAllocated   int    `db:\"gpus_allocated\"`\n\tJobsRunning     int    `db:\"jobs_running\"`\n\tHostname        string `db:\"hostname\"`\n\tCluster         string `db:\"cluster\"`\n\tSubCluster      string `db:\"subcluster\"`\n}\n\n// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n// joined with node info for denormalized archiving.\nfunc (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n\trows, err := sq.Select(\n\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t).\n\t\tFrom(\"node_state\").\n\t\tJoin(\"node ON node_state.node_id = node.id\").\n\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n\t\tRunWith(r.DB).Query()\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tvar result []NodeStateWithNode\n\tfor rows.Next() {\n\t\tvar ns NodeStateWithNode\n\t\tvar healthMetrics sql.NullString\n\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n\t\t\t&ns.HealthState, &healthMetrics,\n\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tns.HealthMetrics = healthMetrics.String\n\t\tresult = append(result, ns)\n\t}\n\treturn result, nil\n}\n\n// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n// but always preserves the row with the latest timestamp per node_id.\nfunc (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t`DELETE FROM node_state WHERE time_stamp < ?\n\t\t AND id NOT IN (\n\t\t   SELECT id FROM node_state ns2\n\t\t   WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n\t\t )`,\n\t\tcutoff,\n\t)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn res.RowsAffected()\n}\n\nfunc (r *NodeRepository) DeleteNode(id int64) error {\n\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted node '%d' from DB\", id)\n\treturn nil\n}\n\n// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.\nfunc (r *NodeRepository) CountNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n) (int, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column, \"COUNT(*) as count\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()).\n\t\t\tGroupBy(column))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, &timestamp, &count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,\n\tpage *model.PageRequest,\n) ([]string, map[string]string, int, bool, error) {\n\t// Init Return Vars\n\tnodes := make([]string, 0)\n\tstateMap := make(map[string]string)\n\tcountNodes := 0\n\thasNextPage := false\n\n\t// Build Filters\n\tqueryFilters := make([]*model.NodeFilter, 0)\n\tif cluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n\t}\n\tif subCluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n\t}\n\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n\t}\n\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n\t\tqueryState := schema.SchedulerState(stateFilter)\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n\t}\n\t// if healthFilter != \"all\" {\n\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n\t// }\n\n\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n\tvar backupItems int\n\tif stateFilter == \"notindb\" {\n\t\tbackupItems = page.ItemsPerPage\n\t\tpage.ItemsPerPage = -1\n\t}\n\n\t// Query Nodes From DB\n\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n\tif serr != nil {\n\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n\t\treturn nil, nil, 0, false, serr\n\t}\n\n\t// Intermediate Node Result Info\n\tfor _, node := range rawNodes {\n\t\tif node == nil {\n\t\t\tcontinue\n\t\t}\n\t\tnodes = append(nodes, node.Hostname)\n\t\tstateMap[node.Hostname] = string(node.NodeState)\n\t}\n\n\t// Special Case: Find Nodes not in DB node table but in metricStore only\n\tif stateFilter == \"notindb\" {\n\t\t// Reapply Original Paging\n\t\tpage.ItemsPerPage = backupItems\n\t\t// Get Nodes From Topology\n\t\tvar topoNodes []string\n\t\tif subCluster != \"\" {\n\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\t\ttopoNodes = scNodes.PrintList()\n\t\t} else {\n\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n\t\t\t}\n\t\t}\n\t\t// Compare to all nodes from cluster/subcluster in DB\n\t\tvar missingNodes []string\n\t\tfor _, scanNode := range topoNodes {\n\t\t\tif !slices.Contains(nodes, scanNode) {\n\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n\t\t\t}\n\t\t}\n\t\t// Filter nodes by name\n\t\tif nodeFilter != \"\" {\n\t\t\tfilteredNodesByName := []string{}\n\t\t\tfor _, missingNode := range missingNodes {\n\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n\t\t\t\t}\n\t\t\t}\n\t\t\tmissingNodes = filteredNodesByName\n\t\t}\n\t\t// Sort Missing Nodes Alphanumerically\n\t\tslices.Sort(missingNodes)\n\t\t// Total Missing\n\t\tcountNodes = len(missingNodes)\n\t\t// Apply paging\n\t\tif countNodes > page.ItemsPerPage {\n\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\t\tend := start + page.ItemsPerPage\n\t\t\tif end > countNodes {\n\t\t\t\tend = countNodes\n\t\t\t\thasNextPage = false\n\t\t\t} else {\n\t\t\t\thasNextPage = true\n\t\t\t}\n\t\t\tnodes = missingNodes[start:end]\n\t\t} else {\n\t\t\tnodes = missingNodes\n\t\t}\n\n\t} else {\n\t\t// DB Nodes: Count and derive hasNextPage from count\n\t\tvar cerr error\n\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n\t\tif cerr != nil {\n\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n\t\t\treturn nil, nil, 0, false, cerr\n\t\t}\n\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n\t}\n\n\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n\tif stateFilter == \"all\" && countNodes == 0 {\n\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n\t}\n\n\treturn nodes, stateMap, countNodes, hasNextPage, nil\n}\n\nfunc AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn AccessCheckWithUser(user, query)\n}\n\nfunc AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n\t// \treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n\t\treturn query, nil\n\tdefault: // No known Role: No Access, return error\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\nfunc getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n\t// 0) Init additional vars\n\thasNextPage := false\n\ttotalNodes := 0\n\n\t// 1) Get list of all nodes\n\tvar topolNodes []string\n\tif subCluster != \"\" {\n\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\ttopolNodes = scNodes.PrintList()\n\t} else {\n\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n\t\t}\n\t}\n\n\t// 2) Filter nodes\n\tif nodeFilter != \"\" {\n\t\tfilteredNodes := []string{}\n\t\tfor _, node := range topolNodes {\n\t\t\tif strings.Contains(node, nodeFilter) {\n\t\t\t\tfilteredNodes = append(filteredNodes, node)\n\t\t\t}\n\t\t}\n\t\ttopolNodes = filteredNodes\n\t}\n\n\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n\ttotalNodes = len(topolNodes)\n\tsort.Strings(topolNodes)\n\n\t// 3) Apply paging\n\tif len(topolNodes) > page.ItemsPerPage {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tend := start + page.ItemsPerPage\n\t\tif end >= len(topolNodes) {\n\t\t\tend = len(topolNodes)\n\t\t\thasNextPage = false\n\t\t} else {\n\t\t\thasNextPage = true\n\t\t}\n\t\ttopolNodes = topolNodes[start:end]\n\t}\n\n\treturn topolNodes, totalNodes, hasNextPage\n}\n","structuredPatch":[{"oldStart":244,"oldLines":6,"newStart":244,"newLines":77,"lines":["   return nil"," }"," ","+// NodeStateUpdate holds the data needed to update one node's state in a batch operation.","+type NodeStateUpdate struct {","+  Hostname  string","+  Cluster   string","+  NodeState *schema.NodeStateDB","+}","+","+// BatchUpdateNodeStates inserts node state rows for multiple nodes in a single transaction.","+// For each node, it looks up (or creates) the node row, then inserts the state row.","+// This reduces lock acquisitions from 2*N to 1 for N nodes.","+func (r *NodeRepository) BatchUpdateNodeStates(updates []NodeStateUpdate) error {","+  tx, err := r.DB.Beginx()","+  if err != nil {","+    return fmt.Errorf(\"BatchUpdateNodeStates: begin transaction: %w\", err)","+  }","+  defer tx.Rollback()","+","+  stmtLookup, err := tx.Preparex(\"SELECT id FROM node WHERE hostname = ? AND cluster = ?\")","+  if err != nil {","+    return fmt.Errorf(\"BatchUpdateNodeStates: prepare lookup: %w\", err)","+  }","+  defer stmtLookup.Close()","+","+  stmtInsertNode, err := tx.PrepareNamed(NamedNodeInsert)","+  if err != nil {","+    return fmt.Errorf(\"BatchUpdateNodeStates: prepare node insert: %w\", err)","+  }","+  defer stmtInsertNode.Close()","+","+  stmtInsertState, err := tx.PrepareNamed(NamedNodeStateInsert)","+  if err != nil {","+    return fmt.Errorf(\"BatchUpdateNodeStates: prepare state insert: %w\", err)","+  }","+  defer stmtInsertState.Close()","+","+  for _, u := range updates {","+    var id int64","+    if err := stmtLookup.QueryRow(u.Hostname, u.Cluster).Scan(&id); err != nil {","+      if err == sql.ErrNoRows {","+        subcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)","+        if scErr != nil {","+          cclog.Errorf(\"BatchUpdateNodeStates: subcluster lookup for '%s' in '%s': %v\", u.Hostname, u.Cluster, scErr)","+          continue","+        }","+        node := schema.NodeDB{","+          Hostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,","+        }","+        res, insertErr := stmtInsertNode.Exec(&node)","+        if insertErr != nil {","+          cclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)","+          continue","+        }","+        id, _ = res.LastInsertId()","+      } else {","+        cclog.Errorf(\"BatchUpdateNodeStates: lookup node '%s': %v\", u.Hostname, err)","+        continue","+      }","+    }","+","+    u.NodeState.NodeID = id","+    if _, err := stmtInsertState.Exec(u.NodeState); err != nil {","+      cclog.Errorf(\"BatchUpdateNodeStates: insert state for '%s': %v\", u.Hostname, err)","+    }","+  }","+","+  if err := tx.Commit(); err != nil {","+    return fmt.Errorf(\"BatchUpdateNodeStates: commit: %w\", err)","+  }","+  return nil","+}","+"," // func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {"," // \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {"," // \t\tcclog.Errorf(\"error while updating node '%d'\", id)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"7956bad8-245f-4be0-b117-98737a7e1662","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"9006a851-8e89-47d0-8cc0-6a71f7579d4c","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SfYezs5gWfSaJwFBvZwTQm","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"d3f9fff6-c5c7-4b6a-9ccf-be1ce553c3d1","timestamp":"2026-03-16T10:13:42.820Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)","newString":"\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":345,"oldLines":6,"newStart":345,"newLines":7,"lines":["   repo := repository.GetNodeRepository()","   requestReceived := time.Now().Unix()"," ","+  updates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))","   for _, node := range req.Nodes {","     state := determineState(node.States)","     nodeState := schema.NodeStateDB{"]},{"oldStart":356,"oldLines":11,"newStart":357,"newLines":15,"lines":["       HealthState:     schema.MonitoringStateFull,","       JobsRunning:     node.JobsRunning,","     }","+    updates = append(updates, repository.NodeStateUpdate{","+      Hostname:  node.Hostname,","+      Cluster:   req.Cluster,","+      NodeState: &nodeState,","+    })","+  }"," ","-    if err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {","-      cclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",","-        node.Hostname, req.Cluster, err)","-    }","+  if err := repo.BatchUpdateNodeStates(updates); err != nil {","+    cclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)","   }"," ","   cclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"9006a851-8e89-47d0-8cc0-6a71f7579d4c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d3f9fff6-c5c7-4b6a-9ccf-be1ce553c3d1","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01XW1TDmuGSvp8mtAm3TgEbp","type":"message","role":"assistant","content":[{"type":"text","text":"Now update the REST handler to also batch the DB part:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":807,"cache_read_input_tokens":70459,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":807},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6aiHcgkCnEMhSsh7iXd","type":"assistant","uuid":"4a840c99-f10e-4a2a-88a9-26722953097a","timestamp":"2026-03-16T10:13:46.319Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"4a840c99-f10e-4a2a-88a9-26722953097a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01XW1TDmuGSvp8mtAm3TgEbp","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KWgT3DMBg4wm69ijcQDpSf","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go","old_string":"\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     healthState,\n\t\t\tHealthMetrics:   healthMetrics,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))","new_string":"\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     healthState,\n\t\t\tHealthMetrics:   healthMetrics,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":807,"cache_read_input_tokens":70459,"output_tokens":912,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":807,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6aiHcgkCnEMhSsh7iXd","type":"assistant","uuid":"a9780779-40bc-4130-84ef-769ec8d703e9","timestamp":"2026-03-16T10:13:53.745Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"fmt\"\n\t\"maps\"\n\t\"net/http\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\ntype UpdateNodeStatesRequest struct {\n\tNodes   []schema.NodePayload `json:\"nodes\"`\n\tCluster string               `json:\"cluster\" example:\"fritz\"`\n}\n\n// metricListToNames converts a map of metric configurations to a list of metric names\nfunc metricListToNames(metricList map[string]*schema.Metric) []string {\n\tnames := make([]string, 0, len(metricList))\n\tfor name := range metricList {\n\t\tnames = append(names, name)\n\t}\n\treturn names\n}\n\n// this routine assumes that only one of them exists per node\nfunc determineState(states []string) schema.SchedulerState {\n\tfor _, state := range states {\n\t\tswitch strings.ToLower(state) {\n\t\tcase \"allocated\":\n\t\t\treturn schema.NodeStateAllocated\n\t\tcase \"reserved\":\n\t\t\treturn schema.NodeStateReserved\n\t\tcase \"idle\":\n\t\t\treturn schema.NodeStateIdle\n\t\tcase \"down\":\n\t\t\treturn schema.NodeStateDown\n\t\tcase \"mixed\":\n\t\t\treturn schema.NodeStateMixed\n\t\t}\n\t}\n\n\treturn schema.NodeStateUnknown\n}\n\n// updateNodeStates godoc\n// @summary     Deliver updated Slurm node states\n// @tags Nodestates\n// @description Returns a JSON-encoded list of users.\n// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n// @produce     json\n// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/nodestats/ [post]\nfunc (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n\t// Parse request body\n\treq := UpdateNodeStatesRequest{}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n\t\t\thttp.StatusBadRequest, rw)\n\t\treturn\n\t}\n\trequestReceived := time.Now().Unix()\n\trepo := repository.GetNodeRepository()\n\n\tm := make(map[string][]string)\n\tmetricNames := make(map[string][]string)\n\thealthResults := make(map[string]metricstore.HealthCheckResult)\n\n\tstartMs := time.Now()\n\n\t// Step 1: Build nodeList and metricList per subcluster\n\tfor _, node := range req.Nodes {\n\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n\t\t\tm[sc] = append(m[sc], node.Hostname)\n\t\t}\n\t}\n\n\tfor sc := range m {\n\t\tif sc != \"\" {\n\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n\t\t\tmetricNames[sc] = metricListToNames(metricList)\n\t\t}\n\t}\n\n\t// Step 2: Determine which metric store to query and perform health check\n\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n\tif err != nil {\n\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n\t} else {\n\t\tfor sc, nl := range m {\n\t\t\tif sc != \"\" {\n\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n\t\t\t\t\tmaps.Copy(healthResults, results)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     healthState,\n\t\t\tHealthMetrics:   healthMetrics,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n}\n","structuredPatch":[{"oldStart":116,"oldLines":6,"newStart":116,"newLines":7,"lines":["   cclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))","   startDB := time.Now()"," ","+  updates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))","   for _, node := range req.Nodes {","     state := determineState(node.States)","     healthState := schema.MonitoringStateFailed"]},{"oldStart":134,"oldLines":11,"newStart":135,"newLines":15,"lines":["       HealthMetrics:   healthMetrics,","       JobsRunning:     node.JobsRunning,","     }","+    updates = append(updates, repository.NodeStateUpdate{","+      Hostname:  node.Hostname,","+      Cluster:   req.Cluster,","+      NodeState: &nodeState,","+    })","+  }"," ","-    if err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {","-      cclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",","-        node.Hostname, req.Cluster, err)","-    }","+  if err := repo.BatchUpdateNodeStates(updates); err != nil {","+    cclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)","   }"," ","   cclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"a9780779-40bc-4130-84ef-769ec8d703e9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}","new_string":"func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Transfer cached jobs to main table and clear cache in a single transaction.\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer tx.Rollback()\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = tx.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. 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AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":955,"cache_read_input_tokens":71266,"output_tokens":1692,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":955,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6aj64SNo9N1xgzrnbah","type":"assistant","uuid":"5d65a99e-fbc1-45d5-9fce-5aa84524dc4d","timestamp":"2026-03-16T10:14:16.085Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}","newString":"func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Transfer cached jobs to main table and clear cache in a single transaction.\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer tx.Rollback()\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = tx.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"encoding/json\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst NamedJobCacheInsert string = `INSERT INTO job_cache (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n);`\n\nconst NamedJobInsert string = `INSERT INTO job (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n);`\n\n// InsertJobDirect inserts a job directly into the job table (not job_cache).\n// Use this when the returned ID will be used for operations on the job table\n// (e.g., adding tags), or for imported jobs that are already completed.\nfunc (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = r.DB.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}\n\n// TransferCachedJobToMain moves a job from job_cache to the job table.\n// Caller must hold r.Mutex. Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\treturn newID, nil\n}\n\n// Start inserts a new job in the table, returning the unique job ID.\n// Statistics are not transfered!\nfunc (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJob(job)\n}\n\n// StartDirect inserts a new job directly into the job table (not job_cache).\n// Use this when the returned ID will immediately be used for job table\n// operations such as adding tags.\nfunc (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJobDirect(job)\n}\n\n// Stop updates the job with the database id jobId using the provided arguments.\nfunc (r *JobRepository) Stop(\n\tjobID int64,\n\tduration int32,\n\tstate schema.JobState,\n\tmonitoringStatus int32,\n) (err error) {\n\t// Invalidate cache entries as job state is changing\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n\n\tstmt := sq.Update(\"job\").\n\t\tSet(\"job_state\", state).\n\t\tSet(\"duration\", duration).\n\t\tSet(\"monitoring_status\", monitoringStatus).\n\t\tWhere(\"job.id = ?\", jobID)\n\n\t_, err = stmt.RunWith(r.stmtCache).Exec()\n\treturn err\n}\n","structuredPatch":[{"oldStart":92,"oldLines":20,"newStart":92,"newLines":33,"lines":["     jobs = append(jobs, job)","   }"," ","+  // Transfer cached jobs to main table and clear cache in a single transaction.","+  tx, err := r.DB.Beginx()","+  if err != nil {","+    cclog.Errorf(\"SyncJobs: begin transaction: %v\", err)","+    return nil, err","+  }","+  defer tx.Rollback()","+","   // Use INSERT OR IGNORE to skip jobs already transferred by the stop path","-  _, err = r.DB.Exec(","+  _, err = tx.Exec(","     \"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")","   if err != nil {","     cclog.Errorf(\"Error while Job sync: %v\", err)","     return nil, err","   }"," ","-  _, err = r.DB.Exec(\"DELETE FROM job_cache\")","+  _, err = tx.Exec(\"DELETE FROM job_cache\")","   if err != nil {","     cclog.Errorf(\"Error while Job cache clean: %v\", err)","     return nil, err","   }"," ","+  if err := tx.Commit(); err != nil {","+    cclog.Errorf(\"SyncJobs: commit transaction: %v\", err)","+    return nil, err","+  }","+","   // Resolve correct job.id from the job table. The IDs read from job_cache","   // are from a different auto-increment sequence and must not be used to","   // query the job table."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"5d65a99e-fbc1-45d5-9fce-5aa84524dc4d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"3775dc48-712d-4527-831d-4b8ba6f366d9","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014HMVkUZgUEv2F5FVEvG9yC","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"ee24031c-69cc-4429-8b76-a49bdc1e244e","timestamp":"2026-03-16T10:14:25.663Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"type NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t}\n}","newString":"type NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n\t// when the database is under contention.\n\tjobSem chan struct{}\n\t// nodeSem limits concurrent NATS node state processing.\n\tnodeSem chan struct{}\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobSem:        make(chan struct{}, 8),\n\t\tnodeSem:       make(chan struct{}, 2),\n\t}\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":64,"oldLines":12,"newStart":64,"newLines":19,"lines":["   // RepositoryMutex protects job creation operations from race conditions","   // when checking for duplicate jobs during startJob calls.","   RepositoryMutex sync.Mutex","+  // jobSem limits concurrent NATS job event processing to prevent goroutine accumulation","+  // when the database is under contention.","+  jobSem chan struct{}","+  // nodeSem limits concurrent NATS node state processing.","+  nodeSem chan struct{}"," }"," "," // NewNatsAPI creates a new NatsAPI instance with default dependencies."," func NewNatsAPI() *NatsAPI {","   return &NatsAPI{","     JobRepository: repository.GetJobRepository(),","+    jobSem:        make(chan struct{}, 8),","+    nodeSem:       make(chan struct{}, 2),","   }"," }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"3775dc48-712d-4527-831d-4b8ba6f366d9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"ee24031c-69cc-4429-8b76-a49bdc1e244e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01BAi9cdLpY9ze3kti1EgJd8","type":"message","role":"assistant","content":[{"type":"text","text":"Now add semaphore acquire/release to `handleJobEvent` and `handleNodeState`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":618,"cache_read_input_tokens":73957,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":618},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6amSZHFncC3Jwm7TmpJ","type":"assistant","uuid":"493fc493-c27b-477d-a40e-229856dd3a25","timestamp":"2026-03-16T10:14:29.415Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"493fc493-c27b-477d-a40e-229856dd3a25","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01BAi9cdLpY9ze3kti1EgJd8","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01F343pD8uwJ3KXtR8moYRXc","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","old_string":"func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","new_string":"func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tapi.jobSem <- struct{}{}\n\tdefer func() { <-api.jobSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":618,"cache_read_input_tokens":73957,"output_tokens":330,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":618,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6amSZHFncC3Jwm7TmpJ","type":"assistant","uuid":"1ef8186a-a04a-482e-b9a5-3c346596f2fc","timestamp":"2026-03-16T10:14:31.960Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"1ef8186a-a04a-482e-b9a5-3c346596f2fc","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01F343pD8uwJ3KXtR8moYRXc","toolUseID":"toolu_01F343pD8uwJ3KXtR8moYRXc","timestamp":"2026-03-16T10:14:31.972Z","uuid":"0e01642d-c7a2-434b-86e8-aa9d2671dea5","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"1ef8186a-a04a-482e-b9a5-3c346596f2fc","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01F343pD8uwJ3KXtR8moYRXc","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"56d57da3-6e7b-40c4-8d7c-511fcb0411d5","timestamp":"2026-03-16T10:14:31.972Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","newString":"func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tapi.jobSem <- struct{}{}\n\tdefer func() { <-api.jobSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n\t// when the database is under contention.\n\tjobSem chan struct{}\n\t// nodeSem limits concurrent NATS node state processing.\n\tnodeSem chan struct{}\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobSem:        make(chan struct{}, 8),\n\t\tnodeSem:       make(chan struct{}, 2),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":144,"oldLines":6,"newStart":144,"newLines":9,"lines":[" //"," // Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000"," func (api *NatsAPI) handleJobEvent(subject string, data []byte) {","+  api.jobSem <- struct{}{}","+  defer func() { <-api.jobSem }()","+","   if len(data) == 0 {","     cclog.Warnf(\"NATS %s: received empty message\", subject)","     return"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"1ef8186a-a04a-482e-b9a5-3c346596f2fc","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"56d57da3-6e7b-40c4-8d7c-511fcb0411d5","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_018GDq8pzsSNa7nJereCUUuJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017JDESo1Lkjh5SWMU35gSHD","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","old_string":"func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","new_string":"func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tapi.nodeSem <- struct{}{}\n\tdefer func() { <-api.nodeSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":374,"cache_read_input_tokens":74575,"output_tokens":309,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":374,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6amuTHvcstiLQtphpTt","type":"assistant","uuid":"d7e94c87-1f2a-4e1b-9161-c8c4ea41292f","timestamp":"2026-03-16T10:14:36.687Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d7e94c87-1f2a-4e1b-9161-c8c4ea41292f","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_017JDESo1Lkjh5SWMU35gSHD","toolUseID":"toolu_017JDESo1Lkjh5SWMU35gSHD","timestamp":"2026-03-16T10:14:36.702Z","uuid":"f81a86b2-4d61-41bf-b4ea-3a85809dacee","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d7e94c87-1f2a-4e1b-9161-c8c4ea41292f","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017JDESo1Lkjh5SWMU35gSHD","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"a9a61ff3-ead3-48d1-807b-e2a14ab45568","timestamp":"2026-03-16T10:14:36.702Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","newString":"func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tapi.nodeSem <- struct{}{}\n\tdefer func() { <-api.nodeSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n\t// when the database is under contention.\n\tjobSem chan struct{}\n\t// nodeSem limits concurrent NATS node state processing.\n\tnodeSem chan struct{}\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobSem:        make(chan struct{}, 8),\n\t\tnodeSem:       make(chan struct{}, 2),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tapi.jobSem <- struct{}{}\n\tdefer func() { <-api.jobSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":387,"oldLines":6,"newStart":387,"newLines":9,"lines":[" //"," // Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000"," func (api *NatsAPI) handleNodeState(subject string, data []byte) {","+  api.nodeSem <- struct{}{}","+  defer func() { <-api.nodeSem }()","+","   if len(data) == 0 {","     cclog.Warnf(\"NATS %s: received empty message\", subject)","     return"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"d7e94c87-1f2a-4e1b-9161-c8c4ea41292f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"a9a61ff3-ead3-48d1-807b-e2a14ab45568","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01N5TaR6cLdSMWNQuMeYKmWB","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me verify the build compiles:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":353,"cache_read_input_tokens":74949,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":353},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6anFfDoyRxTbWofrkvV","type":"assistant","uuid":"6362acdd-a63c-4cc8-81f5-6b956b1dcd7b","timestamp":"2026-03-16T10:14:40.520Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"b4973f4a-3987-40a0-9784-97ab8f94be4c","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":"Are there other opportunities to reduce the insert pressure on the db using transactions or other techniques?"},"uuid":"77246124-c7ed-405a-87de-11b99d5c5171","timestamp":"2026-03-16T10:18:22.003Z","permissionMode":"plan","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"2c1eddf0-1f39-4852-85ff-a09935d22a02","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VcJqMaKr97nTjqZLiZRmCD","type":"tool_result","content":"     1→# Fix: SQLite Write Contention Causing OOM Crash\n     2→\n     3→## Context\n     4→\n     5→The server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.\n     6→\n     7→**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.\n     8→\n     9→The cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.\n    10→\n    11→---\n    12→\n    13→## Fix 1: Increase busy_timeout (contention relief)\n    14→\n    15→**File:** `internal/repository/dbConnection.go:73`\n    16→\n    17→Change `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:\n    18→\n    19→**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.\n    20→\n    21→**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.\n    22→\n    23→**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.\n    24→\n    25→With 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.\n    26→\n    27→---\n    28→\n    29→## Fix 2: Batch Node State Updates in a Transaction\n    30→\n    31→Currently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.\n    32→\n    33→**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:\n    34→- Accept a slice of `(hostname, cluster, nodeState)` tuples\n    35→- Begin transaction\n    36→- For each node: lookup ID (or insert node), then insert state — all within the same transaction\n    37→- Commit once\n    38→\n    39→**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.\n    40→\n    41→**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).\n    42→\n    43→Keep the existing `UpdateNodeState` method for single-node use cases.\n    44→\n    45→---\n    46→\n    47→## Fix 3: Fix LDAP Sync Race Condition\n    48→\n    49→The LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.\n    50→\n    51→**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:\n    52→```go\n    53→func (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n    54→    rolesJson, _ := json.Marshal(user.Roles)\n    55→    projectsJson, _ := json.Marshal(user.Projects)\n    56→    cols := \"username, name, roles, projects, ldap\"\n    57→    _, err := r.DB.Exec(\n    58→        `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,\n    59→        user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n    60→    return err\n    61→}\n    62→```\n    63→\n    64→**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.\n    65→\n    66→Note: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.\n    67→\n    68→---\n    69→\n    70→## Fix 4: Add Semaphore for NATS Handlers\n    71→\n    72→Without rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.\n    73→\n    74→**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:\n    75→```go\n    76→type NatsAPI struct {\n    77→    JobRepository   *repository.JobRepository\n    78→    RepositoryMutex sync.Mutex\n    79→    jobSem          chan struct{}\n    80→    nodeSem         chan struct{}\n    81→}\n    82→```\n    83→\n    84→Initialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.\n    85→\n    86→Add acquire/release in `handleJobEvent` and `handleNodeState`:\n    87→```go\n    88→api.jobSem <- struct{}{}\n    89→defer func() { <-api.jobSem }()\n    90→```\n    91→\n    92→This caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.\n    93→\n    94→---\n    95→\n    96→## Fix 5: Wrap SyncJobs in a Transaction\n    97→\n    98→**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)\n    99→\n   100→Currently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:\n   101→- `tx, err := r.DB.Beginx()`\n   102→- Run all three operations on `tx`\n   103→- `tx.Commit()`\n   104→- Do the read-only ID resolution outside the transaction\n   105→\n   106→This reduces lock acquisitions from 3 to 1 and ensures atomicity.\n   107→\n   108→---\n   109→\n   110→## Implementation Order\n   111→\n   112→1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact\n   113→2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change\n   114→3. **Fix 2** (batch node states) — biggest contention reduction\n   115→4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction\n   116→5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation\n   117→\n   118→---\n   119→\n   120→## Verification\n   121→\n   122→1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.\n   123→2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.\n   124→3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.\n   125→4. Run `go test ./internal/repository/... ./internal/api/... ./internal/auth/...` after all changes.\n   126→5. Load test: simulate burst of 100+ concurrent job start/stop events + node state update with 500 nodes + LDAP sync running simultaneously. Monitor goroutine count and memory.\n   127→"}]},"uuid":"9de761c4-cd6e-4978-bad3-2ad8ccf0e314","timestamp":"2026-03-16T10:18:27.587Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/.claude/plans/woolly-wandering-narwhal.md","content":"# Fix: SQLite Write Contention Causing OOM Crash\n\n## Context\n\nThe server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.\n\n**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.\n\nThe cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.\n\n---\n\n## Fix 1: Increase busy_timeout (contention relief)\n\n**File:** `internal/repository/dbConnection.go:73`\n\nChange `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:\n\n**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.\n\n**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.\n\n**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.\n\nWith 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.\n\n---\n\n## Fix 2: Batch Node State Updates in a Transaction\n\nCurrently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.\n\n**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:\n- Accept a slice of `(hostname, cluster, nodeState)` tuples\n- Begin transaction\n- For each node: lookup ID (or insert node), then insert state — all within the same transaction\n- Commit once\n\n**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.\n\n**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).\n\nKeep the existing `UpdateNodeState` method for single-node use cases.\n\n---\n\n## Fix 3: Fix LDAP Sync Race Condition\n\nThe LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.\n\n**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:\n```go\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n    rolesJson, _ := json.Marshal(user.Roles)\n    projectsJson, _ := json.Marshal(user.Projects)\n    cols := \"username, name, roles, projects, ldap\"\n    _, err := r.DB.Exec(\n        `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,\n        user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n    return err\n}\n```\n\n**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.\n\nNote: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.\n\n---\n\n## Fix 4: Add Semaphore for NATS Handlers\n\nWithout rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.\n\n**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:\n```go\ntype NatsAPI struct {\n    JobRepository   *repository.JobRepository\n    RepositoryMutex sync.Mutex\n    jobSem          chan struct{}\n    nodeSem         chan struct{}\n}\n```\n\nInitialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.\n\nAdd acquire/release in `handleJobEvent` and `handleNodeState`:\n```go\napi.jobSem <- struct{}{}\ndefer func() { <-api.jobSem }()\n```\n\nThis caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.\n\n---\n\n## Fix 5: Wrap SyncJobs in a Transaction\n\n**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)\n\nCurrently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:\n- `tx, err := r.DB.Beginx()`\n- Run all three operations on `tx`\n- `tx.Commit()`\n- Do the read-only ID resolution outside the transaction\n\nThis reduces lock acquisitions from 3 to 1 and ensures atomicity.\n\n---\n\n## Implementation Order\n\n1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact\n2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change\n3. **Fix 2** (batch node states) — biggest contention reduction\n4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction\n5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation\n\n---\n\n## Verification\n\n1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.\n2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.\n3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.\n4. 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+{"parentUuid":"35cd6ce4-24fd-481c-9744-2c16c7ee2083","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HkM6fykBdPWHAiCUXwWyyJ","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"encoding/json\"\n    10→\t\"fmt\"\n    11→\n    12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    14→\tsq \"github.com/Masterminds/squirrel\"\n    15→)\n    16→\n    17→const NamedJobCacheInsert string = `INSERT INTO job_cache (\n    18→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n    19→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n    20→) VALUES (\n    21→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n    22→  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n    23→);`\n    24→\n    25→const NamedJobInsert string = `INSERT INTO job (\n    26→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n    27→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n    28→) VALUES (\n    29→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n    30→  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n    31→);`\n    32→\n    33→// InsertJobDirect inserts a job directly into the job table (not job_cache).\n    34→// Use this when the returned ID will be used for operations on the job table\n    35→// (e.g., adding tags), or for imported jobs that are already completed.\n    36→func (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n    37→\tr.Mutex.Lock()\n    38→\tdefer r.Mutex.Unlock()\n    39→\n    40→\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n    41→\tif err != nil {\n    42→\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n    43→\t\treturn 0, err\n    44→\t}\n    45→\tid, err := res.LastInsertId()\n    46→\tif err != nil {\n    47→\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n    48→\t\treturn 0, err\n    49→\t}\n    50→\n    51→\treturn id, nil\n    52→}\n    53→\n    54→func (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n    55→\tr.Mutex.Lock()\n    56→\tdefer r.Mutex.Unlock()\n    57→\n    58→\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n    59→\tif err != nil {\n    60→\t\tcclog.Warn(\"Error while NamedJobInsert\")\n    61→\t\treturn 0, err\n    62→\t}\n    63→\tid, err := res.LastInsertId()\n    64→\tif err != nil {\n    65→\t\tcclog.Warn(\"Error while getting last insert ID\")\n    66→\t\treturn 0, err\n    67→\t}\n    68→\n    69→\treturn id, nil\n    70→}\n    71→\n    72→func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n    73→\tr.Mutex.Lock()\n    74→\tdefer r.Mutex.Unlock()\n    75→\n    76→\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n    77→\n    78→\trows, err := query.RunWith(r.stmtCache).Query()\n    79→\tif err != nil {\n    80→\t\tcclog.Errorf(\"Error while running query %v\", err)\n    81→\t\treturn nil, err\n    82→\t}\n    83→\tdefer rows.Close()\n    84→\n    85→\tjobs := make([]*schema.Job, 0, 50)\n    86→\tfor rows.Next() {\n    87→\t\tjob, err := scanJob(rows)\n    88→\t\tif err != nil {\n    89→\t\t\tcclog.Warn(\"Error while scanning rows\")\n    90→\t\t\treturn nil, err\n    91→\t\t}\n    92→\t\tjobs = append(jobs, job)\n    93→\t}\n    94→\n    95→\t// Transfer cached jobs to main table and clear cache in a single transaction.\n    96→\ttx, err := r.DB.Beginx()\n    97→\tif err != nil {\n    98→\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n    99→\t\treturn nil, err\n   100→\t}\n   101→\tdefer tx.Rollback()\n   102→\n   103→\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n   104→\t_, err = tx.Exec(\n   105→\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n   106→\tif err != nil {\n   107→\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n   108→\t\treturn nil, err\n   109→\t}\n   110→\n   111→\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n   112→\tif err != nil {\n   113→\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n   114→\t\treturn nil, err\n   115→\t}\n   116→\n   117→\tif err := tx.Commit(); err != nil {\n   118→\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n   119→\t\treturn nil, err\n   120→\t}\n   121→\n   122→\t// Resolve correct job.id from the job table. The IDs read from job_cache\n   123→\t// are from a different auto-increment sequence and must not be used to\n   124→\t// query the job table.\n   125→\tfor _, job := range jobs {\n   126→\t\tvar newID int64\n   127→\t\tif err := sq.Select(\"job.id\").From(\"job\").\n   128→\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n   129→\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n   130→\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n   131→\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n   132→\t\t\t\tjob.JobID, job.Cluster, err)\n   133→\t\t\tcontinue\n   134→\t\t}\n   135→\t\tjob.ID = &newID\n   136→\t}\n   137→\n   138→\treturn jobs, nil\n   139→}\n   140→\n   141→// TransferCachedJobToMain moves a job from job_cache to the job table.\n   142→// Caller must hold r.Mutex. Returns the new job table ID.\n   143→func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n   144→\tres, err := r.DB.Exec(\n   145→\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n   146→\t\tcacheID)\n   147→\tif err != nil {\n   148→\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n   149→\t}\n   150→\n   151→\tnewID, err := res.LastInsertId()\n   152→\tif err != nil {\n   153→\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n   154→\t}\n   155→\n   156→\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n   157→\tif err != nil {\n   158→\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n   159→\t}\n   160→\n   161→\treturn newID, nil\n   162→}\n   163→\n   164→// Start inserts a new job in the table, returning the unique job ID.\n   165→// Statistics are not transfered!\n   166→func (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n   167→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   168→\tif err != nil {\n   169→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n   170→\t}\n   171→\n   172→\tjob.RawResources, err = json.Marshal(job.Resources)\n   173→\tif err != nil {\n   174→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n   175→\t}\n   176→\n   177→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n   178→\tif err != nil {\n   179→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n   180→\t}\n   181→\n   182→\treturn r.InsertJob(job)\n   183→}\n   184→\n   185→// StartDirect inserts a new job directly into the job table (not job_cache).\n   186→// Use this when the returned ID will immediately be used for job table\n   187→// operations such as adding tags.\n   188→func (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n   189→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   190→\tif err != nil {\n   191→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n   192→\t}\n   193→\n   194→\tjob.RawResources, err = json.Marshal(job.Resources)\n   195→\tif err != nil {\n   196→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n   197→\t}\n   198→\n   199→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n   200→\tif err != nil {\n   201→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n   202→\t}\n   203→\n   204→\treturn r.InsertJobDirect(job)\n   205→}\n   206→\n   207→// Stop updates the job with the database id jobId using the provided arguments.\n   208→func (r *JobRepository) Stop(\n   209→\tjobID int64,\n   210→\tduration int32,\n   211→\tstate schema.JobState,\n   212→\tmonitoringStatus int32,\n   213→) (err error) {\n   214→\t// Invalidate cache entries as job state is changing\n   215→\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n   216→\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n   217→\n   218→\tstmt := sq.Update(\"job\").\n   219→\t\tSet(\"job_state\", state).\n   220→\t\tSet(\"duration\", duration).\n   221→\t\tSet(\"monitoring_status\", monitoringStatus).\n   222→\t\tWhere(\"job.id = ?\", jobID)\n   223→\n   224→\t_, err = stmt.RunWith(r.stmtCache).Exec()\n   225→\treturn err\n   226→}\n   227→"}]},"uuid":"5d8ee9d6-b030-4c74-833d-49b9a7ebd9c3","timestamp":"2026-03-16T10:18:43.890Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"38b7eecb-8634-4eb0-a187-2d048452460b","timestamp":"2026-03-16T10:18:43.890Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"38b7eecb-8634-4eb0-a187-2d048452460b","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EKYTiA5S5dj987gevScvTS","type":"tool_result","content":"<persisted-output>\nOutput too large (49.5KB). Full output saved to: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/3a41c7a4-abf8-484b-96ae-ee5618eea5ba/tool-results/toolu_01EKYTiA5S5dj987gevScvTS.txt\n\nPreview (first 2KB):\n     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package repository provides the data access layer for cc-backend using the repository pattern.\n     7→//\n     8→// The repository pattern abstracts database operations and provides a clean interface for\n     9→// data access. Each major entity (Job, User, Node, Tag) has its own repository with CRUD\n    10→// operations and specialized queries.\n    11→//\n    12→// # Database Connection\n    13→//\n    14→// Initialize the database connection before using any repository:\n    15→//\n    16→//\trepository.Connect(\"sqlite3\", \"./var/job.db\")\n    17→//\n    18→// # Configuration\n    19→//\n    20→// Optional: Configure repository settings before initialization:\n    21→//\n    22→//\trepository.SetConfig(&repository.RepositoryConfig{\n    23→//\t    CacheSize: 2 * 1024 * 1024,     // 2MB cache\n    24→//\t    MaxOpenConnections: 8,           // Connection pool size\n    25→//\t    MinRunningJobDuration: 300,      // Filter threshold\n    26→//\t})\n    27→//\n    28→// If not configured, sensible defaults are used automatically.\n    29→//\n    30→// # Repositories\n    31→//\n    32→//   - JobRepository: Job lifecycle management and querying\n    33→//   - UserRepository: User management and authentication\n    34→//   - NodeRepository: Cluster node state tracking\n    35→//   - Tags: Job tagging and categorization\n    36→//\n    37→// # Caching\n    38→//\n    39→// Repositories use LRU caching to improve performance. Cache keys are constructed\n    40→// as \"type:id\" (e.g., \"metadata:123\"). Cache is automatically invalidated on\n    41→// mutations to maintain consistency.\n    42→//\n    43→// # Transaction Support\n    44→//\n    45→// For batch operations, use transactions:\n    46→//\n    47→//\tt, err := jobRepo.TransactionInit()\n...\n</persisted-output>"}]},"uuid":"2d340f9e-3460-4d05-a652-9b2aa3482e6a","timestamp":"2026-03-16T10:18:44.008Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"73dc0e40-cc6c-499a-a987-9e066c064607","timestamp":"2026-03-16T10:18:44.083Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"73dc0e40-cc6c-499a-a987-9e066c064607","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:44.098Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01CGzHX4WVBQLFwrxRcpSCfL","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01D4EbLUUdwazYptjDjNVKDR","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":5652,"cache_read_input_tokens":13439,"cache_creation":{"ephemeral_5m_input_tokens":5652,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6LQyLqEj2BXvkCr4W","uuid":"08205c4a-738a-47a7-bf53-d42e8e04d164"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"0f4fe58e-47c2-4e9a-bf48-c169cc66b6bb","timestamp":"2026-03-16T10:18:44.098Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"0f4fe58e-47c2-4e9a-bf48-c169cc66b6bb","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01D4EbLUUdwazYptjDjNVKDR","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package repository\n     6→\n     7→import (\n     8→\t\"context\"\n     9→\t\"database/sql\"\n    10→\t\"encoding/json\"\n    11→\t\"errors\"\n    12→\t\"fmt\"\n    13→\t\"reflect\"\n    14→\t\"strings\"\n    15→\t\"sync\"\n    16→\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→\tsq \"github.com/Masterminds/squirrel\"\n    22→\t\"github.com/jmoiron/sqlx\"\n    23→\t\"golang.org/x/crypto/bcrypt\"\n    24→)\n    25→\n    26→// Authentication and Role System:\n    27→//\n    28→// ClusterCockpit supports multiple authentication sources:\n    29→//   - Local: Username/password stored in database (password hashed with bcrypt)\n    30→//   - LDAP: External LDAP/Active Directory authentication\n    31→//   - JWT: Token-based authentication for API access\n    32→//\n    33→// Role Hierarchy (from highest to lowest privilege):\n    34→//   1. \"admin\" - Full system access, can manage all users and jobs\n    35→//   2. \"support\" - Can view all jobs but limited management capabilities\n    36→//   3. \"manager\" - Can manage specific projects and their users\n    37→//   4. \"api\" - Programmatic access for job submission/management\n    38→//   5. \"user\" - Default role, can only view own jobs\n    39→//\n    40→// Project Association:\n    41→//   - Managers have a list of projects they oversee\n    42→//   - Regular users' project membership is determined by job data\n    43→//   - Managers can view/manage all jobs within their projects\n    44→\n    45→var (\n    46→\tuserRepoOnce     sync.Once\n    47→\tuserRepoInstance *UserRepository\n    48→)\n    49→\n    50→type UserRepository struct {\n    51→\tDB     *sqlx.DB\n    52→\tdriver string\n    53→}\n    54→\n    55→func GetUserRepository() *UserRepository {\n    56→\tuserRepoOnce.Do(func() {\n    57→\t\tdb := GetConnection()\n    58→\n    59→\t\tuserRepoInstance = &UserRepository{\n    60→\t\t\tDB:     db.DB,\n    61→\t\t\tdriver: db.Driver,\n    62→\t\t}\n    63→\t})\n    64→\treturn userRepoInstance\n    65→}\n    66→\n    67→// GetUser retrieves a user by username from the database.\n    68→// Returns the complete user record including hashed password, roles, and projects.\n    69→// Password field contains bcrypt hash for local auth users, empty for LDAP users.\n    70→func (r *UserRepository) GetUser(username string) (*schema.User, error) {\n    71→\tuser := &schema.User{Username: username}\n    72→\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n    73→\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n    74→\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n    75→\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n    76→\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n    77→\t\treturn nil, err\n    78→\t}\n    79→\n    80→\tuser.Password = hashedPassword.String\n    81→\tuser.Name = name.String\n    82→\tuser.Email = email.String\n    83→\tif rawRoles.Valid {\n    84→\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n    85→\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n    86→\t\t\treturn nil, err\n    87→\t\t}\n    88→\t}\n    89→\tif rawProjects.Valid {\n    90→\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n    91→\t\t\treturn nil, err\n    92→\t\t}\n    93→\t}\n    94→\n    95→\treturn user, nil\n    96→}\n    97→\n    98→func (r *UserRepository) GetLdapUsernames() ([]string, error) {\n    99→\tvar users []string\n   100→\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n   101→\tif err != nil {\n   102→\t\tcclog.Warn(\"Error while querying usernames\")\n   103→\t\treturn nil, err\n   104→\t}\n   105→\tdefer rows.Close()\n   106→\n   107→\tfor rows.Next() {\n   108→\t\tvar username string\n   109→\t\tif err := rows.Scan(&username); err != nil {\n   110→\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n   111→\t\t\treturn nil, err\n   112→\t\t}\n   113→\n   114→\t\tusers = append(users, username)\n   115→\t}\n   116→\n   117→\treturn users, nil\n   118→}\n   119→\n   120→// AddUser creates a new user in the database.\n   121→// Passwords are automatically hashed with bcrypt before storage.\n   122→// Auth source determines authentication method (local, LDAP, etc.).\n   123→//\n   124→// Required fields: Username, Roles\n   125→// Optional fields: Name, Email, Password, Projects, AuthSource\n   126→func (r *UserRepository) AddUser(user *schema.User) error {\n   127→\trolesJson, _ := json.Marshal(user.Roles)\n   128→\tprojectsJson, _ := json.Marshal(user.Projects)\n   129→\n   130→\tcols := []string{\"username\", \"roles\", \"projects\"}\n   131→\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n   132→\n   133→\tif user.Name != \"\" {\n   134→\t\tcols = append(cols, \"name\")\n   135→\t\tvals = append(vals, user.Name)\n   136→\t}\n   137→\tif user.Email != \"\" {\n   138→\t\tcols = append(cols, \"email\")\n   139→\t\tvals = append(vals, user.Email)\n   140→\t}\n   141→\tif user.Password != \"\" {\n   142→\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n   143→\t\tif err != nil {\n   144→\t\t\tcclog.Error(\"Error while encrypting new user password\")\n   145→\t\t\treturn err\n   146→\t\t}\n   147→\t\tcols = append(cols, \"password\")\n   148→\t\tvals = append(vals, string(password))\n   149→\t}\n   150→\tif user.AuthSource != -1 {\n   151→\t\tcols = append(cols, \"ldap\")\n   152→\t\tvals = append(vals, int(user.AuthSource))\n   153→\t}\n   154→\n   155→\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n   156→\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n   157→\t\treturn err\n   158→\t}\n   159→\n   160→\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n   161→\n   162→\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n   163→\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n   164→\tif err != nil {\n   165→\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n   166→\t} else if defaultMetricsCfg != nil {\n   167→\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n   168→\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n   169→\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n   170→\t\t\tif err != nil {\n   171→\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n   172→\t\t\t\tcontinue\n   173→\t\t\t}\n   174→\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n   175→\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n   176→\t\t\tif _, err := sq.Insert(\"configuration\").\n   177→\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n   178→\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n   179→\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n   180→\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n   181→\t\t\t} else {\n   182→\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n   183→\t\t\t}\n   184→\t\t}\n   185→\t}\n   186→\t// END DEPRECATION\n   187→\n   188→\treturn nil\n   189→}\n   190→\n   191→// AddUserIfNotExists inserts a user only if the username does not already exist.\n   192→// Uses INSERT OR IGNORE to avoid UNIQUE constraint errors when a user is\n   193→// concurrently created (e.g., by a login while LDAP sync is running).\n   194→// Unlike AddUser, this intentionally skips the deprecated default metrics config insertion.\n   195→func (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n   196→\trolesJson, _ := json.Marshal(user.Roles)\n   197→\tprojectsJson, _ := json.Marshal(user.Projects)\n   198→\n   199→\tcols := \"username, name, roles, projects, ldap\"\n   200→\t_, err := r.DB.Exec(\n   201→\t\t`INSERT OR IGNORE INTO hpc_user (`+cols+`) VALUES (?, ?, ?, ?, ?)`,\n   202→\t\tuser.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n   203→\treturn err\n   204→}\n   205→\n   206→func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n   207→\t// user contains updated info -> Apply to dbUser\n   208→\t// --- Simple Name Update ---\n   209→\tif dbUser.Name != user.Name {\n   210→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n   211→\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n   212→\t\t\treturn err\n   213→\t\t}\n   214→\t}\n   215→\n   216→\t// --- Def Helpers ---\n   217→\t// Helper to update roles\n   218→\tupdateRoles := func(roles []string) error {\n   219→\t\trolesJSON, _ := json.Marshal(roles)\n   220→\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n   221→\t\treturn err\n   222→\t}\n   223→\n   224→\t// Helper to update projects\n   225→\tupdateProjects := func(projects []string) error {\n   226→\t\tprojectsJSON, _ := json.Marshal(projects)\n   227→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n   228→\t\treturn err\n   229→\t}\n   230→\n   231→\t// Helper to clear projects\n   232→\tclearProjects := func() error {\n   233→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n   234→\t\treturn err\n   235→\t}\n   236→\n   237→\t// --- Manager Role Handling ---\n   238→\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n   239→\t\t// Existing Manager: update projects\n   240→\t\tif err := updateProjects(user.Projects); err != nil {\n   241→\t\t\treturn err\n   242→\t\t}\n   243→\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n   244→\t\t// New Manager: update roles and projects\n   245→\t\tif err := updateRoles(user.Roles); err != nil {\n   246→\t\t\treturn err\n   247→\t\t}\n   248→\t\tif err := updateProjects(user.Projects); err != nil {\n   249→\t\t\treturn err\n   250→\t\t}\n   251→\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n   252→\t\t// Remove Manager: update roles and clear projects\n   253→\t\tif err := updateRoles(user.Roles); err != nil {\n   254→\t\t\treturn err\n   255→\t\t}\n   256→\t\tif err := clearProjects(); err != nil {\n   257→\t\t\treturn err\n   258→\t\t}\n   259→\t}\n   260→\n   261→\t// --- Support Role Handling ---\n   262→\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n   263→\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n   264→\t\t// New Support: update roles\n   265→\t\tif err := updateRoles(user.Roles); err != nil {\n   266→\t\t\treturn err\n   267→\t\t}\n   268→\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n   269→\t\t// Remove Support: update roles\n   270→\t\tif err := updateRoles(user.Roles); err != nil {\n   271→\t\t\treturn err\n   272→\t\t}\n   273→\t}\n   274→\n   275→\treturn nil\n   276→}\n   277→\n   278→func (r *UserRepository) DelUser(username string) error {\n   279→\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n   280→\tif err != nil {\n   281→\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n   282→\t\treturn err\n   283→\t}\n   284→\tcclog.Infof(\"deleted user '%s' from DB\", username)\n   285→\treturn nil\n   286→}\n   287→\n   288→func (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n   289→\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n   290→\tif specialsOnly {\n   291→\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n   292→\t}\n   293→\n   294→\trows, err := q.RunWith(r.DB).Query()\n   295→\tif err != nil {\n   296→\t\tcclog.Warn(\"Error while querying user list\")\n   297→\t\treturn nil, err\n   298→\t}\n   299→\n   300→\tusers := make([]*schema.User, 0)\n   301→\tdefer rows.Close()\n   302→\tfor rows.Next() {\n   303→\t\trawroles := \"\"\n   304→\t\trawprojects := \"\"\n   305→\t\tuser := &schema.User{}\n   306→\t\tvar name, email sql.NullString\n   307→\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n   308→\t\t\tcclog.Warn(\"Error while scanning user list\")\n   309→\t\t\treturn nil, err\n   310→\t\t}\n   311→\n   312→\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n   313→\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n   314→\t\t\treturn nil, err\n   315→\t\t}\n   316→\n   317→\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n   318→\t\t\treturn nil, err\n   319→\t\t}\n   320→\n   321→\t\tuser.Name = name.String\n   322→\t\tuser.Email = email.String\n   323→\t\tusers = append(users, user)\n   324→\t}\n   325→\treturn users, nil\n   326→}\n   327→\n   328→// AddRole adds a role to a user's role list.\n   329→// Role string is automatically lowercased.\n   330→// Valid roles: admin, support, manager, api, user\n   331→//\n   332→// Returns error if:\n   333→//   - User doesn't exist\n   334→//   - Role is invalid\n   335→//   - User already has the role\n   336→func (r *UserRepository) AddRole(\n   337→\tctx context.Context,\n   338→\tusername string,\n   339→\tqueryrole string,\n   340→) error {\n   341→\tnewRole := strings.ToLower(queryrole)\n   342→\tuser, err := r.GetUser(username)\n   343→\tif err != nil {\n   344→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n   345→\t\treturn err\n   346→\t}\n   347→\n   348→\texists, valid := user.HasValidRole(newRole)\n   349→\n   350→\tif !valid {\n   351→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n   352→\t}\n   353→\tif exists {\n   354→\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n   355→\t}\n   356→\n   357→\troles, _ := json.Marshal(append(user.Roles, newRole))\n   358→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n   359→\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n   360→\t\treturn err\n   361→\t}\n   362→\treturn nil\n   363→}\n   364→\n   365→// RemoveRole removes a role from a user's role list.\n   366→//\n   367→// Special rules:\n   368→//   - Cannot remove \"manager\" role while user has assigned projects\n   369→//   - Must remove all projects first before removing manager role\n   370→func (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n   371→\toldRole := strings.ToLower(queryrole)\n   372→\tuser, err := r.GetUser(username)\n   373→\tif err != nil {\n   374→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n   375→\t\treturn err\n   376→\t}\n   377→\n   378→\texists, valid := user.HasValidRole(oldRole)\n   379→\n   380→\tif !valid {\n   381→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n   382→\t}\n   383→\tif !exists {\n   384→\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n   385→\t}\n   386→\n   387→\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n   388→\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n   389→\t}\n   390→\n   391→\tvar newroles []string\n   392→\tfor _, r := range user.Roles {\n   393→\t\tif r != oldRole {\n   394→\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n   395→\t\t}\n   396→\t}\n   397→\n   398→\tmroles, _ := json.Marshal(newroles)\n   399→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n   400→\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n   401→\t\treturn err\n   402→\t}\n   403→\treturn nil\n   404→}\n   405→\n   406→// AddProject assigns a project to a manager user.\n   407→// Only users with the \"manager\" role can have assigned projects.\n   408→//\n   409→// Returns error if:\n   410→//   - User doesn't have manager role\n   411→//   - User already manages the project\n   412→func (r *UserRepository) AddProject(\n   413→\tctx context.Context,\n   414→\tusername string,\n   415→\tproject string,\n   416→) error {\n   417→\tuser, err := r.GetUser(username)\n   418→\tif err != nil {\n   419→\t\treturn err\n   420→\t}\n   421→\n   422→\tif !user.HasRole(schema.RoleManager) {\n   423→\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n   424→\t}\n   425→\n   426→\tif user.HasProject(project) {\n   427→\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n   428→\t}\n   429→\n   430→\tprojects, _ := json.Marshal(append(user.Projects, project))\n   431→\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n   432→\t\treturn err\n   433→\t}\n   434→\n   435→\treturn nil\n   436→}\n   437→\n   438→func (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n   439→\tuser, err := r.GetUser(username)\n   440→\tif err != nil {\n   441→\t\treturn err\n   442→\t}\n   443→\n   444→\tif !user.HasRole(schema.RoleManager) {\n   445→\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n   446→\t}\n   447→\n   448→\tif !user.HasProject(project) {\n   449→\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n   450→\t}\n   451→\n   452→\tvar exists bool\n   453→\tvar newprojects []string\n   454→\tfor _, p := range user.Projects {\n   455→\t\tif p != project {\n   456→\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n   457→\t\t} else {\n   458→\t\t\texists = true\n   459→\t\t}\n   460→\t}\n   461→\n   462→\tif exists {\n   463→\t\tvar result any\n   464→\t\tif len(newprojects) == 0 {\n   465→\t\t\tresult = \"[]\"\n   466→\t\t} else {\n   467→\t\t\tresult, _ = json.Marshal(newprojects)\n   468→\t\t}\n   469→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n   470→\t\t\treturn err\n   471→\t\t}\n   472→\t\treturn nil\n   473→\t} else {\n   474→\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n   475→\t}\n   476→}\n   477→\n   478→type ContextKey string\n   479→\n   480→const ContextUserKey ContextKey = \"user\"\n   481→\n   482→func GetUserFromContext(ctx context.Context) *schema.User {\n   483→\tx := ctx.Value(ContextUserKey)\n   484→\tif x == nil {\n   485→\t\tcclog.Warnf(\"no user retrieved from context\")\n   486→\t\treturn nil\n   487→\t}\n   488→\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n   489→\treturn x.(*schema.User)\n   490→}\n   491→\n   492→func (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n   493→\tme := GetUserFromContext(ctx)\n   494→\tif me != nil && me.Username != username &&\n   495→\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n   496→\t\treturn nil, errors.New(\"forbidden\")\n   497→\t}\n   498→\n   499→\tuser := &model.User{Username: username}\n   500→\tvar name, email sql.NullString\n   501→\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n   502→\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n   503→\t\tif err == sql.ErrNoRows {\n   504→\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n   505→\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n   506→\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n   507→\t\t\treturn nil, nil\n   508→\t\t}\n   509→\n   510→\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n   511→\t\treturn nil, err\n   512→\t}\n   513→\n   514→\tuser.Name = name.String\n   515→\tuser.Email = email.String\n   516→\treturn user, nil\n   517→}\n   518→"}]},"uuid":"acc33023-5fb3-4a2e-bc0a-09f9a5175147","timestamp":"2026-03-16T10:18:44.100Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"cf0bd62a-75bb-4783-80e7-f26ff298ad36","timestamp":"2026-03-16T10:18:44.100Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"d570e5c0-22d1-45a6-a985-b96261b56ea9","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HdDYxxDmAcUknFk1iAMFhS","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package repository provides data access and persistence layer for ClusterCockpit.\n     7→//\n     8→// This file implements tag management functionality for job categorization and classification.\n     9→// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n    10→// (via tagger plugins). The implementation includes role-based access control through\n    11→// tag scopes and maintains bidirectional consistency between the SQL database and\n    12→// the file-based job archive.\n    13→//\n    14→// Database Schema:\n    15→//\n    16→//\tCREATE TABLE tag (\n    17→//\t    id INTEGER PRIMARY KEY AUTOINCREMENT,\n    18→//\t    tag_type VARCHAR(255) NOT NULL,\n    19→//\t    tag_name VARCHAR(255) NOT NULL,\n    20→//\t    tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n    21→//\t    CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n    22→//\t);\n    23→//\n    24→//\tCREATE TABLE jobtag (\n    25→//\t    job_id INTEGER,\n    26→//\t    tag_id INTEGER,\n    27→//\t    PRIMARY KEY (job_id, tag_id),\n    28→//\t    FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n    29→//\t    FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n    30→//\t);\n    31→//\n    32→// The jobtag junction table enables many-to-many relationships between jobs and tags.\n    33→// CASCADE deletion ensures referential integrity when jobs or tags are removed.\n    34→package repository\n    35→\n    36→import (\n    37→\t\"errors\"\n    38→\t\"fmt\"\n    39→\t\"strings\"\n    40→\n    41→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    42→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    43→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    44→\tsq \"github.com/Masterminds/squirrel\"\n    45→)\n    46→\n    47→// Tag Scope Rules:\n    48→//\n    49→// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n    50→//\n    51→//  1. \"global\" - Visible to all users, can be used by anyone\n    52→//     Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n    53→//\n    54→//  2. \"private\" - Only visible to the creating user\n    55→//     Example: Personal notes like \"needs-review\", \"interesting-case\"\n    56→//\n    57→//  3. \"admin\" - Only visible to users with admin or support roles\n    58→//     Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n    59→//\n    60→// Authorization Rules:\n    61→//   - Regular users can only create/see \"global\" and their own \"private\" tags\n    62→//   - Admin/Support can create/see all scopes including \"admin\" tags\n    63→//   - Users can only add tags to jobs they have permission to view\n    64→//   - Tag scope is enforced at query time in GetTags() and CountTags()\n    65→\n    66→// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n    67→// Requires user authentication for security checks.\n    68→//\n    69→// The user must have permission to view the job. Tag visibility is determined by scope:\n    70→//   - \"global\" tags: visible to all users\n    71→//   - \"private\" tags: only visible to the tag creator\n    72→//   - \"admin\" tags: only visible to admin/support users\n    73→func (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n    74→\tj, err := r.FindByIDWithUser(user, job)\n    75→\tif err != nil {\n    76→\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n    77→\t\treturn nil, err\n    78→\t}\n    79→\n    80→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n    81→\t\treturn r.GetTags(user, &job)\n    82→\t})\n    83→}\n    84→\n    85→// AddTagDirect adds a tag without user security checks.\n    86→// Use only for internal/admin operations.\n    87→func (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n    88→\tj, err := r.FindByIDDirect(job)\n    89→\tif err != nil {\n    90→\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n    91→\t\treturn nil, err\n    92→\t}\n    93→\n    94→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n    95→\t\treturn r.GetTagsDirect(&job)\n    96→\t})\n    97→}\n    98→\n    99→// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n   100→// Requires user authentication for security checks. Used by GraphQL API.\n   101→func (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n   102→\tj, err := r.FindByIDWithUser(user, job)\n   103→\tif err != nil {\n   104→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n   105→\t\treturn nil, err\n   106→\t}\n   107→\n   108→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n   109→\n   110→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   111→\t\ts, _, _ := q.ToSql()\n   112→\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n   113→\t\treturn nil, err\n   114→\t}\n   115→\n   116→\ttags, err := r.GetTags(user, &job)\n   117→\tif err != nil {\n   118→\t\tcclog.Warn(\"Error while getting tags for job\")\n   119→\t\treturn nil, err\n   120→\t}\n   121→\n   122→\tarchiveTags, err := r.getArchiveTags(&job)\n   123→\tif err != nil {\n   124→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n   125→\t\treturn nil, err\n   126→\t}\n   127→\n   128→\treturn tags, archive.UpdateTags(j, archiveTags)\n   129→}\n   130→\n   131→// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n   132→// Requires user authentication for security checks. Used by REST API.\n   133→func (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n   134→\t// Get Tag ID to delete\n   135→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   136→\tif !exists {\n   137→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   138→\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   139→\t}\n   140→\n   141→\t// Get Job\n   142→\tj, err := r.FindByIDWithUser(user, job)\n   143→\tif err != nil {\n   144→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n   145→\t\treturn nil, err\n   146→\t}\n   147→\n   148→\t// Handle Delete\n   149→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n   150→\n   151→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   152→\t\ts, _, _ := q.ToSql()\n   153→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n   154→\t\treturn nil, err\n   155→\t}\n   156→\n   157→\ttags, err := r.GetTags(user, &job)\n   158→\tif err != nil {\n   159→\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n   160→\t\treturn nil, err\n   161→\t}\n   162→\n   163→\tarchiveTags, err := r.getArchiveTags(&job)\n   164→\tif err != nil {\n   165→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n   166→\t\treturn nil, err\n   167→\t}\n   168→\n   169→\treturn tags, archive.UpdateTags(j, archiveTags)\n   170→}\n   171→\n   172→// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n   173→//\n   174→// This function is called asynchronously (via goroutine) after removing a tag from the database\n   175→// to synchronize the file-based job archive with the database state. Errors are logged but not\n   176→// returned since this runs in the background.\n   177→//\n   178→// Parameters:\n   179→//   - jobIds: Database IDs of all jobs that had the deleted tag\n   180→//\n   181→// Implementation note: Each job is processed individually to handle partial failures gracefully.\n   182→// If one job fails to update, others will still be processed.\n   183→func (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n   184→\tfor _, j := range jobIds {\n   185→\t\ttags, err := r.getArchiveTags(&j)\n   186→\t\tif err != nil {\n   187→\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n   188→\t\t\tcontinue\n   189→\t\t}\n   190→\n   191→\t\tjob, err := r.FindByIDDirect(j)\n   192→\t\tif err != nil {\n   193→\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n   194→\t\t\tcontinue\n   195→\t\t}\n   196→\n   197→\t\tarchive.UpdateTags(job, tags)\n   198→\t}\n   199→}\n   200→\n   201→// Removes a tag from db by tag info\n   202→// Used by REST API. Does not update tagged jobs in Job archive.\n   203→func (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n   204→\t// Get Tag ID to delete\n   205→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   206→\tif !exists {\n   207→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   208→\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   209→\t}\n   210→\n   211→\treturn r.RemoveTagByID(tagID)\n   212→}\n   213→\n   214→// Removes a tag from db by tag id\n   215→// Used by GraphQL API.\n   216→func (r *JobRepository) RemoveTagByID(tagID int64) error {\n   217→\tjobIds, err := r.FindJobIdsByTag(tagID)\n   218→\tif err != nil {\n   219→\t\treturn err\n   220→\t}\n   221→\n   222→\t// Handle Delete JobTagTable\n   223→\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n   224→\n   225→\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n   226→\t\ts, _, _ := qJobTag.ToSql()\n   227→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n   228→\t\treturn err\n   229→\t}\n   230→\n   231→\t// Handle Delete TagTable\n   232→\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n   233→\n   234→\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n   235→\t\ts, _, _ := qTag.ToSql()\n   236→\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n   237→\t\treturn err\n   238→\t}\n   239→\n   240→\t// asynchronously update archive jobs\n   241→\tgo r.removeTagFromArchiveJobs(jobIds)\n   242→\n   243→\treturn nil\n   244→}\n   245→\n   246→// CreateTag creates a new tag with the specified type, name, and scope.\n   247→// Returns the database ID of the newly created tag.\n   248→//\n   249→// Scope defaults to \"global\" if empty string is provided.\n   250→// Valid scopes: \"global\", \"private\", \"admin\"\n   251→//\n   252→// Example:\n   253→//\n   254→//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\n   255→func (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n   256→\t// Default to \"Global\" scope if none defined\n   257→\tif tagScope == \"\" {\n   258→\t\ttagScope = \"global\"\n   259→\t}\n   260→\n   261→\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n   262→\n   263→\tres, err := q.RunWith(r.stmtCache).Exec()\n   264→\tif err != nil {\n   265→\t\ts, _, _ := q.ToSql()\n   266→\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n   267→\t\treturn 0, err\n   268→\t}\n   269→\n   270→\treturn res.LastInsertId()\n   271→}\n   272→\n   273→// CountTags returns all tags visible to the user and the count of jobs for each tag.\n   274→// Applies scope-based filtering to respect tag visibility rules.\n   275→//\n   276→// Returns:\n   277→//   - tags: slice of tags the user can see\n   278→//   - counts: map of tag name to job count\n   279→//   - err: any error encountered\n   280→func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n   281→\ttags = make([]schema.Tag, 0, 100)\n   282→\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n   283→\tif err != nil {\n   284→\t\treturn nil, nil, err\n   285→\t}\n   286→\tdefer xrows.Close()\n   287→\n   288→\tfor xrows.Next() {\n   289→\t\tvar t schema.Tag\n   290→\t\tif err = xrows.StructScan(&t); err != nil {\n   291→\t\t\treturn nil, nil, err\n   292→\t\t}\n   293→\n   294→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n   295→\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n   296→\t\tif err != nil {\n   297→\t\t\treturn nil, nil, err\n   298→\t\t}\n   299→\t\tif readable {\n   300→\t\t\ttags = append(tags, t)\n   301→\t\t}\n   302→\t}\n   303→\n   304→\tif err := xrows.Err(); err != nil {\n   305→\t\treturn nil, nil, err\n   306→\t}\n   307→\n   308→\t// Query and Count Jobs with attached Tags\n   309→\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n   310→\t\tFrom(\"tag t\").\n   311→\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n   312→\t\tGroupBy(\"t.tag_type, t.tag_name\")\n   313→\n   314→\t// Build scope list for filtering\n   315→\tvar scopeBuilder strings.Builder\n   316→\tscopeBuilder.WriteString(`\"global\"`)\n   317→\tif user != nil {\n   318→\t\tscopeBuilder.WriteString(`,\"`)\n   319→\t\tscopeBuilder.WriteString(user.Username)\n   320→\t\tscopeBuilder.WriteString(`\"`)\n   321→\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n   322→\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n   323→\t\t}\n   324→\t}\n   325→\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n   326→\n   327→\t// Handle Job Ownership\n   328→\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n   329→\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n   330→\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n   331→\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n   332→\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n   333→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n   334→\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n   335→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n   336→\t}\n   337→\n   338→\trows, err := q.RunWith(r.stmtCache).Query()\n   339→\tif err != nil {\n   340→\t\treturn nil, nil, err\n   341→\t}\n   342→\tdefer rows.Close()\n   343→\n   344→\tcounts = make(map[string]int)\n   345→\tfor rows.Next() {\n   346→\t\tvar tagType string\n   347→\t\tvar tagName string\n   348→\t\tvar tagID int\n   349→\t\tvar count int\n   350→\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n   351→\t\t\treturn nil, nil, err\n   352→\t\t}\n   353→\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n   354→\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n   355→\t}\n   356→\terr = rows.Err()\n   357→\n   358→\treturn tags, counts, err\n   359→}\n   360→\n   361→var (\n   362→\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n   363→\tErrTagNotFound = errors.New(\"the tag does not exist\")\n   364→\n   365→\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n   366→\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n   367→\n   368→\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n   369→\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n   370→\n   371→\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n   372→\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n   373→\n   374→\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n   375→\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n   376→\n   377→\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n   378→\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n   379→)\n   380→\n   381→// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n   382→//\n   383→// This function performs three operations atomically:\n   384→//  1. Inserts the job-tag association into the jobtag junction table\n   385→//  2. Retrieves the updated tag list for the job (using the provided getTags callback)\n   386→//  3. Updates the job archive with the new tags to maintain database-archive consistency\n   387→//\n   388→// Parameters:\n   389→//   - jobId: Database ID of the job\n   390→//   - tagId: Database ID of the tag to associate\n   391→//   - job: Full job object needed for archive update\n   392→//   - getTags: Callback function to retrieve updated tags (allows different security contexts)\n   393→//\n   394→// Returns the complete updated tag list for the job or an error.\n   395→//\n   396→// Note: This function does NOT validate tag scope permissions - callers must perform\n   397→// authorization checks before invoking this helper.\n   398→func (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n   399→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n   400→\n   401→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   402→\t\ts, _, _ := q.ToSql()\n   403→\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n   404→\t\treturn nil, err\n   405→\t}\n   406→\n   407→\ttags, err := getTags()\n   408→\tif err != nil {\n   409→\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n   410→\t\treturn nil, err\n   411→\t}\n   412→\n   413→\tarchiveTags, err := r.getArchiveTags(&jobID)\n   414→\tif err != nil {\n   415→\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n   416→\t\treturn nil, err\n   417→\t}\n   418→\n   419→\treturn tags, archive.UpdateTags(job, archiveTags)\n   420→}\n   421→\n   422→// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n   423→// If such a tag does not yet exist, it is created.\n   424→func (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n   425→\t// Default to \"Global\" scope if none defined\n   426→\tif tagScope == \"\" {\n   427→\t\ttagScope = \"global\"\n   428→\t}\n   429→\n   430→\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n   431→\tif err != nil {\n   432→\t\treturn 0, err\n   433→\t}\n   434→\tif !writable {\n   435→\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n   436→\t}\n   437→\n   438→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   439→\tif !exists {\n   440→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n   441→\t\tif err != nil {\n   442→\t\t\treturn 0, err\n   443→\t\t}\n   444→\t}\n   445→\n   446→\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n   447→\t\treturn 0, err\n   448→\t}\n   449→\n   450→\treturn tagID, nil\n   451→}\n   452→\n   453→func (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n   454→\ttagScope := \"global\"\n   455→\n   456→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   457→\tif !exists {\n   458→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n   459→\t\tif err != nil {\n   460→\t\t\treturn 0, err\n   461→\t\t}\n   462→\t}\n   463→\n   464→\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n   465→\n   466→\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n   467→\t\treturn 0, err\n   468→\t}\n   469→\n   470→\treturn tagID, nil\n   471→}\n   472→\n   473→func (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n   474→\tvar id int64\n   475→\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n   476→\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n   477→\t\tWhere(\"tag.tag_name = ?\", tagName)\n   478→\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n   479→\tif err != nil {\n   480→\t\treturn false\n   481→\t} else {\n   482→\t\treturn true\n   483→\t}\n   484→}\n   485→\n   486→// TagID returns the database id of the tag with the specified type and name.\n   487→func (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n   488→\texists = true\n   489→\tif err := sq.Select(\"id\").From(\"tag\").\n   490→\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n   491→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n   492→\t\texists = false\n   493→\t}\n   494→\treturn\n   495→}\n   496→\n   497→// TagInfo returns the database infos of the tag with the specified id.\n   498→func (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n   499→\texists = true\n   500→\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n   501→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n   502→\t\texists = false\n   503→\t}\n   504→\treturn\n   505→}\n   506→\n   507→// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\n   508→func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n   509→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n   510→\tif job != nil {\n   511→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n   512→\t}\n   513→\n   514→\trows, err := q.RunWith(r.stmtCache).Query()\n   515→\tif err != nil {\n   516→\t\ts, _, _ := q.ToSql()\n   517→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n   518→\t\treturn nil, err\n   519→\t}\n   520→\tdefer rows.Close()\n   521→\n   522→\ttags := make([]*schema.Tag, 0)\n   523→\tfor rows.Next() {\n   524→\t\ttag := &schema.Tag{}\n   525→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n   526→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n   527→\t\t\treturn nil, err\n   528→\t\t}\n   529→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n   530→\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n   531→\t\tif err != nil {\n   532→\t\t\treturn nil, err\n   533→\t\t}\n   534→\t\tif readable {\n   535→\t\t\ttags = append(tags, tag)\n   536→\t\t}\n   537→\t}\n   538→\n   539→\tif err := rows.Err(); err != nil {\n   540→\t\treturn nil, err\n   541→\t}\n   542→\n   543→\treturn tags, nil\n   544→}\n   545→\n   546→func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n   547→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n   548→\tif job != nil {\n   549→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n   550→\t}\n   551→\n   552→\trows, err := q.RunWith(r.stmtCache).Query()\n   553→\tif err != nil {\n   554→\t\ts, _, _ := q.ToSql()\n   555→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n   556→\t\treturn nil, err\n   557→\t}\n   558→\tdefer rows.Close()\n   559→\n   560→\ttags := make([]*schema.Tag, 0)\n   561→\tfor rows.Next() {\n   562→\t\ttag := &schema.Tag{}\n   563→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n   564→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n   565→\t\t\treturn nil, err\n   566→\t\t}\n   567→\t\ttags = append(tags, tag)\n   568→\t}\n   569→\n   570→\tif err := rows.Err(); err != nil {\n   571→\t\treturn nil, err\n   572→\t}\n   573→\n   574→\treturn tags, nil\n   575→}\n   576→\n   577→// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n   578→//\n   579→// This internal function is used exclusively for job archive synchronization where we need\n   580→// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n   581→// filters by scope, this returns the complete unfiltered tag list.\n   582→//\n   583→// Parameters:\n   584→//   - job: Pointer to job database ID, or nil to return all tags in the system\n   585→//\n   586→// Returns all tags without scope filtering, used only for archive operations.\n   587→//\n   588→// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\n   589→func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n   590→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n   591→\tif job != nil {\n   592→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n   593→\t}\n   594→\n   595→\trows, err := q.RunWith(r.stmtCache).Query()\n   596→\tif err != nil {\n   597→\t\ts, _, _ := q.ToSql()\n   598→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n   599→\t\treturn nil, err\n   600→\t}\n   601→\tdefer rows.Close()\n   602→\n   603→\ttags := make([]*schema.Tag, 0)\n   604→\tfor rows.Next() {\n   605→\t\ttag := &schema.Tag{}\n   606→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n   607→\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n   608→\t\t\treturn nil, err\n   609→\t\t}\n   610→\t\ttags = append(tags, tag)\n   611→\t}\n   612→\n   613→\tif err := rows.Err(); err != nil {\n   614→\t\treturn nil, err\n   615→\t}\n   616→\n   617→\treturn tags, nil\n   618→}\n   619→\n   620→func (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n   621→\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n   622→\n   623→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   624→\tif !exists {\n   625→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n   626→\t\tif err != nil {\n   627→\t\t\treturn err\n   628→\t\t}\n   629→\t}\n   630→\n   631→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n   632→\n   633→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   634→\t\ts, _, _ := q.ToSql()\n   635→\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n   636→\t\treturn err\n   637→\t}\n   638→\n   639→\treturn nil\n   640→}\n   641→\n   642→// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n   643→//\n   644→// This function implements the tag scope authorization matrix:\n   645→//\n   646→//\tScope        | Read Access                      | Write Access\n   647→//\t-------------|----------------------------------|----------------------------------\n   648→//\t\"global\"     | All users                        | Admin, Support, API-only\n   649→//\t\"admin\"      | Admin, Support                   | Admin, API-only\n   650→//\t<username>   | Owner only                       | Owner only (private tags)\n   651→//\n   652→// Parameters:\n   653→//   - user: User attempting the operation (must not be nil)\n   654→//   - operation: Either \"read\" or \"write\"\n   655→//   - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n   656→//\n   657→// Returns:\n   658→//   - pass: true if authorized, false if denied\n   659→//   - err: error only if operation is invalid or user is nil\n   660→//\n   661→// Special cases:\n   662→//   - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n   663→//   - Private tags use the username as scope, granting exclusive access to that user\n   664→func (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n   665→\tif user != nil {\n   666→\t\tswitch {\n   667→\t\tcase operation == \"write\" && scope == \"admin\":\n   668→\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n   669→\t\t\t\treturn true, nil\n   670→\t\t\t}\n   671→\t\t\treturn false, nil\n   672→\t\tcase operation == \"write\" && scope == \"global\":\n   673→\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n   674→\t\t\t\treturn true, nil\n   675→\t\t\t}\n   676→\t\t\treturn false, nil\n   677→\t\tcase operation == \"write\" && scope == user.Username:\n   678→\t\t\treturn true, nil\n   679→\t\tcase operation == \"read\" && scope == \"admin\":\n   680→\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n   681→\t\tcase operation == \"read\" && scope == \"global\":\n   682→\t\t\treturn true, nil\n   683→\t\tcase operation == \"read\" && scope == user.Username:\n   684→\t\t\treturn true, nil\n   685→\t\tdefault:\n   686→\t\t\tif operation == \"read\" || operation == \"write\" {\n   687→\t\t\t\t// No acceptable scope: deny tag\n   688→\t\t\t\treturn false, nil\n   689→\t\t\t} else {\n   690→\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n   691→\t\t\t}\n   692→\t\t}\n   693→\t} else {\n   694→\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n   695→\t}\n   696→}\n   697→"}]},"uuid":"dce1da07-9465-4eba-87c1-bb17e6daa7b0","timestamp":"2026-03-16T10:18:44.263Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"71b5559a-4f3b-4888-87a3-f075dfb7104b","timestamp":"2026-03-16T10:18:44.281Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"71b5559a-4f3b-4888-87a3-f075dfb7104b","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"Explore the cc-backend codebase to find all periodic/scheduled tasks and background goroutines that write to the SQLite database. Look for:\n\n1. Goroutines started with `go func()` that do DB writes\n2. Ticker/timer-based loops that write to the DB\n3. Archiving operations that write to the DB\n4. Retention/cleanup operations\n5. Any cron-like scheduled operations\n\nSearch in:\n- cmd/cc-backend/ (main entry point, initialization)\n- internal/archiver/\n- internal/taskmanager/ or similar\n- internal/repository/\n- Any file with \"schedule\", \"ticker\", \"cron\", \"periodic\", \"retention\", \"cleanup\" patterns\n\nFor each, note the frequency, what DB operations it performs, and whether those operations are already batched/transacted.\n\nAlso look at the REST API file internal/api/rest.go to understand all registered routes and which ones do DB writes."}]},"uuid":"666d3bf2-3ccd-4a3d-9642-56e3e610c7c7","timestamp":"2026-03-16T10:18:44.103Z"},"type":"agent_progress","prompt":"Explore the cc-backend codebase to find all periodic/scheduled tasks and background goroutines that write to the SQLite database. Look for:\n\n1. Goroutines started with `go func()` that do DB writes\n2. Ticker/timer-based loops that write to the DB\n3. Archiving operations that write to the DB\n4. Retention/cleanup operations\n5. Any cron-like scheduled operations\n\nSearch in:\n- cmd/cc-backend/ (main entry point, initialization)\n- internal/archiver/\n- internal/taskmanager/ or similar\n- internal/repository/\n- Any file with \"schedule\", \"ticker\", \"cron\", \"periodic\", \"retention\", \"cleanup\" patterns\n\nFor each, note the frequency, what DB operations it performs, and whether those operations are already batched/transacted.\n\nAlso look at the REST API file internal/api/rest.go to understand all registered routes and which ones do DB writes.","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"3bb2055e-b1af-44b3-ac27-43a4a74de4ab","timestamp":"2026-03-16T10:18:44.103Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"66ee3e7a-1bf9-4195-8e01-4bfaca3bdd4c","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Kq2UVbVdsFHMVNU1tw4F54","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"database/sql\"\n    11→\t\"encoding/json\"\n    12→\t\"fmt\"\n    13→\t\"slices\"\n    14→\t\"sort\"\n    15→\t\"strings\"\n    16→\t\"sync\"\n    17→\t\"time\"\n    18→\n    19→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    20→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n    23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    24→\tsq \"github.com/Masterminds/squirrel\"\n    25→\t\"github.com/jmoiron/sqlx\"\n    26→)\n    27→\n    28→var (\n    29→\tnodeRepoOnce     sync.Once\n    30→\tnodeRepoInstance *NodeRepository\n    31→)\n    32→\n    33→type NodeRepository struct {\n    34→\tDB        *sqlx.DB\n    35→\tstmtCache *sq.StmtCache\n    36→\tcache     *lrucache.Cache\n    37→\tdriver    string\n    38→}\n    39→\n    40→func GetNodeRepository() *NodeRepository {\n    41→\tnodeRepoOnce.Do(func() {\n    42→\t\tdb := GetConnection()\n    43→\n    44→\t\tnodeRepoInstance = &NodeRepository{\n    45→\t\t\tDB:     db.DB,\n    46→\t\t\tdriver: db.Driver,\n    47→\n    48→\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n    49→\t\t\tcache:     lrucache.New(repoConfig.CacheSize),\n    50→\t\t}\n    51→\t})\n    52→\treturn nodeRepoInstance\n    53→}\n    54→\n    55→// latestStateCondition returns a squirrel expression that restricts node_state\n    56→// rows to the latest per node_id using a correlated subquery.\n    57→// Requires the query to join node and node_state tables.\n    58→func latestStateCondition() sq.Sqlizer {\n    59→\treturn sq.Expr(\n    60→\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n    61→\t)\n    62→}\n    63→\n    64→// applyNodeFilters applies common NodeFilter conditions to a query that joins\n    65→// the node and node_state tables with latestStateCondition.\n    66→func applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n    67→\tfor _, f := range filters {\n    68→\t\tif f.Cluster != nil {\n    69→\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n    70→\t\t}\n    71→\t\tif f.SubCluster != nil {\n    72→\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n    73→\t\t}\n    74→\t\tif f.Hostname != nil {\n    75→\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n    76→\t\t}\n    77→\t\tif f.SchedulerState != nil {\n    78→\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n    79→\t\t}\n    80→\t\tif f.HealthState != nil {\n    81→\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n    82→\t\t}\n    83→\t}\n    84→\treturn query\n    85→}\n    86→\n    87→func (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n    88→\tstart := time.Now()\n    89→\n    90→\tRawMetaData := make([]byte, 0)\n    91→\n    92→\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n    93→\t\tWhere(\"node.hostname = ?\", hostname).\n    94→\t\tWhere(\"node.cluster = ?\", cluster).\n    95→\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n    96→\t\tcclog.Warn(\"Error while scanning for node metadata\")\n    97→\t\treturn nil, err\n    98→\t}\n    99→\n   100→\tif len(RawMetaData) == 0 {\n   101→\t\treturn nil, nil\n   102→\t}\n   103→\n   104→\tMetaData := make(map[string]string)\n   105→\n   106→\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n   107→\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n   108→\t\treturn nil, err\n   109→\t}\n   110→\n   111→\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n   112→\treturn MetaData, nil\n   113→}\n   114→\n   115→func (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n   116→\tnode := &schema.Node{}\n   117→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   118→\t\t\"node_state.node_state\", \"node_state.health_state\").\n   119→\t\tFrom(\"node\").\n   120→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   121→\t\tWhere(latestStateCondition()).\n   122→\t\tWhere(\"node.hostname = ?\", hostname).\n   123→\t\tWhere(\"node.cluster = ?\", cluster).\n   124→\t\tRunWith(r.DB).\n   125→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n   126→\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n   127→\t\treturn nil, err\n   128→\t}\n   129→\n   130→\tif withMeta {\n   131→\t\tvar err error\n   132→\t\tvar meta map[string]string\n   133→\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n   134→\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n   135→\t\t\treturn nil, err\n   136→\t\t}\n   137→\t\tnode.MetaData = meta\n   138→\t}\n   139→\n   140→\treturn node, nil\n   141→}\n   142→\n   143→func (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n   144→\tnode := &schema.Node{}\n   145→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   146→\t\t\"node_state.node_state\", \"node_state.health_state\").\n   147→\t\tFrom(\"node\").\n   148→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   149→\t\tWhere(latestStateCondition()).\n   150→\t\tWhere(\"node.id = ?\", id).\n   151→\t\tRunWith(r.DB).\n   152→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n   153→\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n   154→\t\treturn nil, err\n   155→\t}\n   156→\n   157→\tif withMeta {\n   158→\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n   159→\t\tif metaErr != nil {\n   160→\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n   161→\t\t\treturn nil, metaErr\n   162→\t\t}\n   163→\t\tnode.MetaData = meta\n   164→\t}\n   165→\n   166→\treturn node, nil\n   167→}\n   168→\n   169→// const NamedNodeInsert string = `\n   170→// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n   171→//\n   172→//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n   173→//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n   174→//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n   175→\n   176→const NamedNodeInsert string = `\n   177→INSERT INTO node (hostname, cluster, subcluster)\n   178→\tVALUES (:hostname, :cluster, :subcluster);`\n   179→\n   180→// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n   181→// from a nodestate update from the job scheduler.\n   182→func (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n   183→\tvar err error\n   184→\n   185→\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n   186→\tif err != nil {\n   187→\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n   188→\t\treturn 0, err\n   189→\t}\n   190→\tnode.ID, err = res.LastInsertId()\n   191→\tif err != nil {\n   192→\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n   193→\t\treturn 0, err\n   194→\t}\n   195→\n   196→\treturn node.ID, nil\n   197→}\n   198→\n   199→const NamedNodeStateInsert string = `\n   200→INSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n   201→\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n   202→\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n   203→\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n   204→\n   205→// TODO: Add real Monitoring Health State\n   206→\n   207→// UpdateNodeState is called from the Node REST API to add a row in the node state table\n   208→func (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n   209→\tvar id int64\n   210→\n   211→\tif err := sq.Select(\"id\").From(\"node\").\n   212→\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n   213→\t\tQueryRow().Scan(&id); err != nil {\n   214→\t\tif err == sql.ErrNoRows {\n   215→\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n   216→\t\t\tif err != nil {\n   217→\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n   218→\t\t\t\treturn err\n   219→\t\t\t}\n   220→\t\t\tnode := schema.NodeDB{\n   221→\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n   222→\t\t\t}\n   223→\t\t\tid, err = r.AddNode(&node)\n   224→\t\t\tif err != nil {\n   225→\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n   226→\t\t\t\treturn err\n   227→\t\t\t}\n   228→\n   229→\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n   230→\t\t} else {\n   231→\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n   232→\t\t\treturn err\n   233→\t\t}\n   234→\t}\n   235→\n   236→\tnodeState.NodeID = id\n   237→\n   238→\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n   239→\tif err != nil {\n   240→\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n   241→\t\treturn err\n   242→\t}\n   243→\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n   244→\treturn nil\n   245→}\n   246→\n   247→// NodeStateUpdate holds the data needed to update one node's state in a batch operation.\n   248→type NodeStateUpdate struct {\n   249→\tHostname  string\n   250→\tCluster   string\n   251→\tNodeState *schema.NodeStateDB\n   252→}\n   253→\n   254→// BatchUpdateNodeStates inserts node state rows for multiple nodes in a single transaction.\n   255→// For each node, it looks up (or creates) the node row, then inserts the state row.\n   256→// This reduces lock acquisitions from 2*N to 1 for N nodes.\n   257→func (r *NodeRepository) BatchUpdateNodeStates(updates []NodeStateUpdate) error {\n   258→\ttx, err := r.DB.Beginx()\n   259→\tif err != nil {\n   260→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: begin transaction: %w\", err)\n   261→\t}\n   262→\tdefer tx.Rollback()\n   263→\n   264→\tstmtLookup, err := tx.Preparex(\"SELECT id FROM node WHERE hostname = ? AND cluster = ?\")\n   265→\tif err != nil {\n   266→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare lookup: %w\", err)\n   267→\t}\n   268→\tdefer stmtLookup.Close()\n   269→\n   270→\tstmtInsertNode, err := tx.PrepareNamed(NamedNodeInsert)\n   271→\tif err != nil {\n   272→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare node insert: %w\", err)\n   273→\t}\n   274→\tdefer stmtInsertNode.Close()\n   275→\n   276→\tstmtInsertState, err := tx.PrepareNamed(NamedNodeStateInsert)\n   277→\tif err != nil {\n   278→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare state insert: %w\", err)\n   279→\t}\n   280→\tdefer stmtInsertState.Close()\n   281→\n   282→\tfor _, u := range updates {\n   283→\t\tvar id int64\n   284→\t\tif err := stmtLookup.QueryRow(u.Hostname, u.Cluster).Scan(&id); err != nil {\n   285→\t\t\tif err == sql.ErrNoRows {\n   286→\t\t\t\tsubcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)\n   287→\t\t\t\tif scErr != nil {\n   288→\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: subcluster lookup for '%s' in '%s': %v\", u.Hostname, u.Cluster, scErr)\n   289→\t\t\t\t\tcontinue\n   290→\t\t\t\t}\n   291→\t\t\t\tnode := schema.NodeDB{\n   292→\t\t\t\t\tHostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,\n   293→\t\t\t\t}\n   294→\t\t\t\tres, insertErr := stmtInsertNode.Exec(&node)\n   295→\t\t\t\tif insertErr != nil {\n   296→\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)\n   297→\t\t\t\t\tcontinue\n   298→\t\t\t\t}\n   299→\t\t\t\tid, _ = res.LastInsertId()\n   300→\t\t\t} else {\n   301→\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: lookup node '%s': %v\", u.Hostname, err)\n   302→\t\t\t\tcontinue\n   303→\t\t\t}\n   304→\t\t}\n   305→\n   306→\t\tu.NodeState.NodeID = id\n   307→\t\tif _, err := stmtInsertState.Exec(u.NodeState); err != nil {\n   308→\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert state for '%s': %v\", u.Hostname, err)\n   309→\t\t}\n   310→\t}\n   311→\n   312→\tif err := tx.Commit(); err != nil {\n   313→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: commit: %w\", err)\n   314→\t}\n   315→\treturn nil\n   316→}\n   317→\n   318→// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n   319→// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n   320→// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n   321→// \t\treturn err\n   322→// \t}\n   323→//\n   324→// \treturn nil\n   325→// }\n   326→\n   327→// NodeStateWithNode combines a node state row with denormalized node info.\n   328→type NodeStateWithNode struct {\n   329→\tID              int64  `db:\"id\"`\n   330→\tTimeStamp       int64  `db:\"time_stamp\"`\n   331→\tNodeState       string `db:\"node_state\"`\n   332→\tHealthState     string `db:\"health_state\"`\n   333→\tHealthMetrics   string `db:\"health_metrics\"`\n   334→\tCpusAllocated   int    `db:\"cpus_allocated\"`\n   335→\tMemoryAllocated int64  `db:\"memory_allocated\"`\n   336→\tGpusAllocated   int    `db:\"gpus_allocated\"`\n   337→\tJobsRunning     int    `db:\"jobs_running\"`\n   338→\tHostname        string `db:\"hostname\"`\n   339→\tCluster         string `db:\"cluster\"`\n   340→\tSubCluster      string `db:\"subcluster\"`\n   341→}\n   342→\n   343→// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n   344→// joined with node info for denormalized archiving.\n   345→func (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n   346→\trows, err := sq.Select(\n   347→\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n   348→\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n   349→\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n   350→\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n   351→\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   352→\t).\n   353→\t\tFrom(\"node_state\").\n   354→\t\tJoin(\"node ON node_state.node_id = node.id\").\n   355→\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n   356→\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n   357→\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n   358→\t\tRunWith(r.DB).Query()\n   359→\tif err != nil {\n   360→\t\treturn nil, err\n   361→\t}\n   362→\tdefer rows.Close()\n   363→\n   364→\tvar result []NodeStateWithNode\n   365→\tfor rows.Next() {\n   366→\t\tvar ns NodeStateWithNode\n   367→\t\tvar healthMetrics sql.NullString\n   368→\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n   369→\t\t\t&ns.HealthState, &healthMetrics,\n   370→\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n   371→\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n   372→\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n   373→\t\t\treturn nil, err\n   374→\t\t}\n   375→\t\tns.HealthMetrics = healthMetrics.String\n   376→\t\tresult = append(result, ns)\n   377→\t}\n   378→\treturn result, nil\n   379→}\n   380→\n   381→// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n   382→// but always preserves the row with the latest timestamp per node_id.\n   383→func (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n   384→\tres, err := r.DB.Exec(\n   385→\t\t`DELETE FROM node_state WHERE time_stamp < ?\n   386→\t\t AND id NOT IN (\n   387→\t\t   SELECT id FROM node_state ns2\n   388→\t\t   WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n   389→\t\t )`,\n   390→\t\tcutoff,\n   391→\t)\n   392→\tif err != nil {\n   393→\t\treturn 0, err\n   394→\t}\n   395→\treturn res.RowsAffected()\n   396→}\n   397→\n   398→func (r *NodeRepository) DeleteNode(id int64) error {\n   399→\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n   400→\tif err != nil {\n   401→\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n   402→\t\treturn err\n   403→\t}\n   404→\tcclog.Infof(\"deleted node '%d' from DB\", id)\n   405→\treturn nil\n   406→}\n   407→\n   408→// QueryNodes returns a list of nodes based on a node filter. It always operates\n   409→// on the last state (largest timestamp).\n   410→func (r *NodeRepository) QueryNodes(\n   411→\tctx context.Context,\n   412→\tfilters []*model.NodeFilter,\n   413→\tpage *model.PageRequest,\n   414→\torder *model.OrderByInput, // Currently unused!\n   415→) ([]*schema.Node, error) {\n   416→\tquery, qerr := AccessCheck(ctx,\n   417→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   418→\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n   419→\t\t\tFrom(\"node\").\n   420→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   421→\t\t\tWhere(latestStateCondition()))\n   422→\tif qerr != nil {\n   423→\t\treturn nil, qerr\n   424→\t}\n   425→\n   426→\tquery = applyNodeFilters(query, filters)\n   427→\tquery = query.OrderBy(\"node.hostname ASC\")\n   428→\n   429→\tif page != nil && page.ItemsPerPage != -1 {\n   430→\t\tlimit := uint64(page.ItemsPerPage)\n   431→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n   432→\t}\n   433→\n   434→\trows, err := query.RunWith(r.stmtCache).Query()\n   435→\tif err != nil {\n   436→\t\tqueryString, queryVars, _ := query.ToSql()\n   437→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   438→\t\treturn nil, err\n   439→\t}\n   440→\tdefer rows.Close()\n   441→\n   442→\tnodes := make([]*schema.Node, 0)\n   443→\tfor rows.Next() {\n   444→\t\tnode := schema.Node{}\n   445→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n   446→\t\t\t&node.NodeState, &node.HealthState); err != nil {\n   447→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n   448→\t\t\treturn nil, err\n   449→\t\t}\n   450→\t\tnodes = append(nodes, &node)\n   451→\t}\n   452→\n   453→\tif err := rows.Err(); err != nil {\n   454→\t\treturn nil, err\n   455→\t}\n   456→\n   457→\treturn nodes, nil\n   458→}\n   459→\n   460→// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n   461→// on the last state (largest timestamp). It includes both (!) optional JSON column data\n   462→func (r *NodeRepository) QueryNodesWithMeta(\n   463→\tctx context.Context,\n   464→\tfilters []*model.NodeFilter,\n   465→\tpage *model.PageRequest,\n   466→\torder *model.OrderByInput, // Currently unused!\n   467→) ([]*schema.Node, error) {\n   468→\tquery, qerr := AccessCheck(ctx,\n   469→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   470→\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n   471→\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n   472→\t\t\tFrom(\"node\").\n   473→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   474→\t\t\tWhere(latestStateCondition()))\n   475→\tif qerr != nil {\n   476→\t\treturn nil, qerr\n   477→\t}\n   478→\n   479→\tquery = applyNodeFilters(query, filters)\n   480→\tquery = query.OrderBy(\"node.hostname ASC\")\n   481→\n   482→\tif page != nil && page.ItemsPerPage != -1 {\n   483→\t\tlimit := uint64(page.ItemsPerPage)\n   484→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n   485→\t}\n   486→\n   487→\trows, err := query.RunWith(r.stmtCache).Query()\n   488→\tif err != nil {\n   489→\t\tqueryString, queryVars, _ := query.ToSql()\n   490→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   491→\t\treturn nil, err\n   492→\t}\n   493→\tdefer rows.Close()\n   494→\n   495→\tnodes := make([]*schema.Node, 0)\n   496→\tfor rows.Next() {\n   497→\t\tnode := schema.Node{}\n   498→\t\tRawMetaData := make([]byte, 0)\n   499→\t\tRawMetricHealth := make([]byte, 0)\n   500→\n   501→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n   502→\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n   503→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n   504→\t\t\treturn nil, err\n   505→\t\t}\n   506→\n   507→\t\tif len(RawMetaData) == 0 {\n   508→\t\t\tnode.MetaData = nil\n   509→\t\t} else {\n   510→\t\t\tmetaData := make(map[string]string)\n   511→\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n   512→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n   513→\t\t\t\treturn nil, err\n   514→\t\t\t}\n   515→\t\t\tnode.MetaData = metaData\n   516→\t\t}\n   517→\n   518→\t\tif len(RawMetricHealth) == 0 {\n   519→\t\t\tnode.HealthData = nil\n   520→\t\t} else {\n   521→\t\t\thealthData := make(map[string][]string)\n   522→\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n   523→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n   524→\t\t\t\treturn nil, err\n   525→\t\t\t}\n   526→\t\t\tnode.HealthData = healthData\n   527→\t\t}\n   528→\n   529→\t\tnodes = append(nodes, &node)\n   530→\t}\n   531→\n   532→\tif err := rows.Err(); err != nil {\n   533→\t\treturn nil, err\n   534→\t}\n   535→\n   536→\treturn nodes, nil\n   537→}\n   538→\n   539→// CountNodes returns the total matched nodes based on a node filter. It always operates\n   540→// on the last state (largest timestamp) per node.\n   541→func (r *NodeRepository) CountNodes(\n   542→\tctx context.Context,\n   543→\tfilters []*model.NodeFilter,\n   544→) (int, error) {\n   545→\tquery, qerr := AccessCheck(ctx,\n   546→\t\tsq.Select(\"COUNT(*)\").\n   547→\t\t\tFrom(\"node\").\n   548→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   549→\t\t\tWhere(latestStateCondition()))\n   550→\tif qerr != nil {\n   551→\t\treturn 0, qerr\n   552→\t}\n   553→\n   554→\tquery = applyNodeFilters(query, filters)\n   555→\n   556→\tvar count int\n   557→\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n   558→\t\tqueryString, queryVars, _ := query.ToSql()\n   559→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   560→\t\treturn 0, err\n   561→\t}\n   562→\n   563→\treturn count, nil\n   564→}\n   565→\n   566→func (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n   567→\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   568→\t\t\"node_state.node_state\", \"node_state.health_state\").\n   569→\t\tFrom(\"node\").\n   570→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   571→\t\tWhere(latestStateCondition()).\n   572→\t\tWhere(\"node.cluster = ?\", cluster).\n   573→\t\tOrderBy(\"node.hostname ASC\")\n   574→\n   575→\trows, err := q.RunWith(r.DB).Query()\n   576→\tif err != nil {\n   577→\t\tcclog.Warn(\"Error while querying node list\")\n   578→\t\treturn nil, err\n   579→\t}\n   580→\tnodeList := make([]*schema.Node, 0, 100)\n   581→\tdefer rows.Close()\n   582→\tfor rows.Next() {\n   583→\t\tnode := &schema.Node{}\n   584→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n   585→\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n   586→\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n   587→\t\t\treturn nil, err\n   588→\t\t}\n   589→\n   590→\t\tnodeList = append(nodeList, node)\n   591→\t}\n   592→\n   593→\treturn nodeList, nil\n   594→}\n   595→\n   596→func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n   597→\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n   598→\t\tFrom(\"node\").\n   599→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   600→\t\tWhere(latestStateCondition()).\n   601→\t\tWhere(\"node.cluster = ?\", cluster).\n   602→\t\tOrderBy(\"node.hostname ASC\")\n   603→\n   604→\trows, err := q.RunWith(r.DB).Query()\n   605→\tif err != nil {\n   606→\t\tcclog.Warn(\"Error while querying node list\")\n   607→\t\treturn nil, err\n   608→\t}\n   609→\n   610→\tstateMap := make(map[string]string)\n   611→\tdefer rows.Close()\n   612→\tfor rows.Next() {\n   613→\t\tvar hostname, nodestate string\n   614→\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n   615→\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n   616→\t\t\treturn nil, err\n   617→\t\t}\n   618→\n   619→\t\tstateMap[hostname] = nodestate\n   620→\t}\n   621→\n   622→\treturn stateMap, nil\n   623→}\n   624→\n   625→func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n   626→\tquery, qerr := AccessCheck(ctx,\n   627→\t\tsq.Select(column, \"COUNT(*) as count\").\n   628→\t\t\tFrom(\"node\").\n   629→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   630→\t\t\tWhere(latestStateCondition()).\n   631→\t\t\tGroupBy(column))\n   632→\tif qerr != nil {\n   633→\t\treturn nil, qerr\n   634→\t}\n   635→\n   636→\tquery = applyNodeFilters(query, filters)\n   637→\n   638→\trows, err := query.RunWith(r.stmtCache).Query()\n   639→\tif err != nil {\n   640→\t\tqueryString, queryVars, _ := query.ToSql()\n   641→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   642→\t\treturn nil, err\n   643→\t}\n   644→\tdefer rows.Close()\n   645→\n   646→\tnodes := make([]*model.NodeStates, 0)\n   647→\tfor rows.Next() {\n   648→\t\tvar state string\n   649→\t\tvar count int\n   650→\t\tif err := rows.Scan(&state, &count); err != nil {\n   651→\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n   652→\t\t\treturn nil, err\n   653→\t\t}\n   654→\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n   655→\t}\n   656→\n   657→\tif err := rows.Err(); err != nil {\n   658→\t\treturn nil, err\n   659→\t}\n   660→\n   661→\treturn nodes, nil\n   662→}\n   663→\n   664→func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n   665→\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n   666→\tif qerr != nil {\n   667→\t\treturn nil, qerr\n   668→\t}\n   669→\n   670→\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n   671→\n   672→\tfor _, f := range filters {\n   673→\t\t// Required\n   674→\t\tif f.TimeStart != nil {\n   675→\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n   676→\t\t}\n   677→\t\t// Optional\n   678→\t\tif f.Hostname != nil {\n   679→\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n   680→\t\t}\n   681→\t\tif f.Cluster != nil {\n   682→\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n   683→\t\t}\n   684→\t\tif f.SubCluster != nil {\n   685→\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n   686→\t\t}\n   687→\t\tif f.SchedulerState != nil {\n   688→\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n   689→\t\t}\n   690→\t\tif f.HealthState != nil {\n   691→\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n   692→\t\t}\n   693→\t}\n   694→\n   695→\t// Add Group and Order\n   696→\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n   697→\n   698→\trows, err := query.RunWith(r.stmtCache).Query()\n   699→\tif err != nil {\n   700→\t\tqueryString, queryVars, _ := query.ToSql()\n   701→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   702→\t\treturn nil, err\n   703→\t}\n   704→\tdefer rows.Close()\n   705→\n   706→\trawData := make(map[string][][]int)\n   707→\tfor rows.Next() {\n   708→\t\tvar state string\n   709→\t\tvar timestamp, count int\n   710→\n   711→\t\tif err := rows.Scan(&state, &timestamp, &count); err != nil {\n   712→\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n   713→\t\t\treturn nil, err\n   714→\t\t}\n   715→\n   716→\t\tif rawData[state] == nil {\n   717→\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n   718→\t\t}\n   719→\n   720→\t\trawData[state][0] = append(rawData[state][0], timestamp)\n   721→\t\trawData[state][1] = append(rawData[state][1], count)\n   722→\t}\n   723→\n   724→\tif err := rows.Err(); err != nil {\n   725→\t\treturn nil, err\n   726→\t}\n   727→\n   728→\ttimedStates := make([]*model.NodeStatesTimed, 0)\n   729→\tfor state, data := range rawData {\n   730→\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n   731→\t\ttimedStates = append(timedStates, &entry)\n   732→\t}\n   733→\n   734→\treturn timedStates, nil\n   735→}\n   736→\n   737→func (r *NodeRepository) GetNodesForList(\n   738→\tctx context.Context,\n   739→\tcluster string,\n   740→\tsubCluster string,\n   741→\tstateFilter string,\n   742→\tnodeFilter string,\n   743→\tpage *model.PageRequest,\n   744→) ([]string, map[string]string, int, bool, error) {\n   745→\t// Init Return Vars\n   746→\tnodes := make([]string, 0)\n   747→\tstateMap := make(map[string]string)\n   748→\tcountNodes := 0\n   749→\thasNextPage := false\n   750→\n   751→\t// Build Filters\n   752→\tqueryFilters := make([]*model.NodeFilter, 0)\n   753→\tif cluster != \"\" {\n   754→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n   755→\t}\n   756→\tif subCluster != \"\" {\n   757→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n   758→\t}\n   759→\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n   760→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n   761→\t}\n   762→\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n   763→\t\tqueryState := schema.SchedulerState(stateFilter)\n   764→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n   765→\t}\n   766→\t// if healthFilter != \"all\" {\n   767→\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n   768→\t// }\n   769→\n   770→\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n   771→\tvar backupItems int\n   772→\tif stateFilter == \"notindb\" {\n   773→\t\tbackupItems = page.ItemsPerPage\n   774→\t\tpage.ItemsPerPage = -1\n   775→\t}\n   776→\n   777→\t// Query Nodes From DB\n   778→\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n   779→\tif serr != nil {\n   780→\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n   781→\t\treturn nil, nil, 0, false, serr\n   782→\t}\n   783→\n   784→\t// Intermediate Node Result Info\n   785→\tfor _, node := range rawNodes {\n   786→\t\tif node == nil {\n   787→\t\t\tcontinue\n   788→\t\t}\n   789→\t\tnodes = append(nodes, node.Hostname)\n   790→\t\tstateMap[node.Hostname] = string(node.NodeState)\n   791→\t}\n   792→\n   793→\t// Special Case: Find Nodes not in DB node table but in metricStore only\n   794→\tif stateFilter == \"notindb\" {\n   795→\t\t// Reapply Original Paging\n   796→\t\tpage.ItemsPerPage = backupItems\n   797→\t\t// Get Nodes From Topology\n   798→\t\tvar topoNodes []string\n   799→\t\tif subCluster != \"\" {\n   800→\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n   801→\t\t\ttopoNodes = scNodes.PrintList()\n   802→\t\t} else {\n   803→\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n   804→\t\t\tfor _, nodeList := range subClusterNodeLists {\n   805→\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n   806→\t\t\t}\n   807→\t\t}\n   808→\t\t// Compare to all nodes from cluster/subcluster in DB\n   809→\t\tvar missingNodes []string\n   810→\t\tfor _, scanNode := range topoNodes {\n   811→\t\t\tif !slices.Contains(nodes, scanNode) {\n   812→\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n   813→\t\t\t}\n   814→\t\t}\n   815→\t\t// Filter nodes by name\n   816→\t\tif nodeFilter != \"\" {\n   817→\t\t\tfilteredNodesByName := []string{}\n   818→\t\t\tfor _, missingNode := range missingNodes {\n   819→\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n   820→\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n   821→\t\t\t\t}\n   822→\t\t\t}\n   823→\t\t\tmissingNodes = filteredNodesByName\n   824→\t\t}\n   825→\t\t// Sort Missing Nodes Alphanumerically\n   826→\t\tslices.Sort(missingNodes)\n   827→\t\t// Total Missing\n   828→\t\tcountNodes = len(missingNodes)\n   829→\t\t// Apply paging\n   830→\t\tif countNodes > page.ItemsPerPage {\n   831→\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n   832→\t\t\tend := start + page.ItemsPerPage\n   833→\t\t\tif end > countNodes {\n   834→\t\t\t\tend = countNodes\n   835→\t\t\t\thasNextPage = false\n   836→\t\t\t} else {\n   837→\t\t\t\thasNextPage = true\n   838→\t\t\t}\n   839→\t\t\tnodes = missingNodes[start:end]\n   840→\t\t} else {\n   841→\t\t\tnodes = missingNodes\n   842→\t\t}\n   843→\n   844→\t} else {\n   845→\t\t// DB Nodes: Count and derive hasNextPage from count\n   846→\t\tvar cerr error\n   847→\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n   848→\t\tif cerr != nil {\n   849→\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n   850→\t\t\treturn nil, nil, 0, false, cerr\n   851→\t\t}\n   852→\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n   853→\t}\n   854→\n   855→\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n   856→\tif stateFilter == \"all\" && countNodes == 0 {\n   857→\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n   858→\t}\n   859→\n   860→\treturn nodes, stateMap, countNodes, hasNextPage, nil\n   861→}\n   862→\n   863→func AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n   864→\tuser := GetUserFromContext(ctx)\n   865→\treturn AccessCheckWithUser(user, query)\n   866→}\n   867→\n   868→func AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n   869→\tif user == nil {\n   870→\t\tvar qnil sq.SelectBuilder\n   871→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n   872→\t}\n   873→\n   874→\tswitch {\n   875→\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n   876→\t// \treturn query, nil\n   877→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n   878→\t\treturn query, nil\n   879→\tdefault: // No known Role: No Access, return error\n   880→\t\tvar qnil sq.SelectBuilder\n   881→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n   882→\t}\n   883→}\n   884→\n   885→func getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n   886→\t// 0) Init additional vars\n   887→\thasNextPage := false\n   888→\ttotalNodes := 0\n   889→\n   890→\t// 1) Get list of all nodes\n   891→\tvar topolNodes []string\n   892→\tif subCluster != \"\" {\n   893→\t\tscNodes := archive.NodeLists[cluster][subCluster]\n   894→\t\ttopolNodes = scNodes.PrintList()\n   895→\t} else {\n   896→\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n   897→\t\tfor _, nodeList := range subClusterNodeLists {\n   898→\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n   899→\t\t}\n   900→\t}\n   901→\n   902→\t// 2) Filter nodes\n   903→\tif nodeFilter != \"\" {\n   904→\t\tfilteredNodes := []string{}\n   905→\t\tfor _, node := range topolNodes {\n   906→\t\t\tif strings.Contains(node, nodeFilter) {\n   907→\t\t\t\tfilteredNodes = append(filteredNodes, node)\n   908→\t\t\t}\n   909→\t\t}\n   910→\t\ttopolNodes = filteredNodes\n   911→\t}\n   912→\n   913→\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n   914→\ttotalNodes = len(topolNodes)\n   915→\tsort.Strings(topolNodes)\n   916→\n   917→\t// 3) Apply paging\n   918→\tif len(topolNodes) > page.ItemsPerPage {\n   919→\t\tstart := (page.Page - 1) * page.ItemsPerPage\n   920→\t\tend := start + page.ItemsPerPage\n   921→\t\tif end >= len(topolNodes) {\n   922→\t\t\tend = len(topolNodes)\n   923→\t\t\thasNextPage = false\n   924→\t\t} else {\n   925→\t\t\thasNextPage = true\n   926→\t\t}\n   927→\t\ttopolNodes = topolNodes[start:end]\n   928→\t}\n   929→\n   930→\treturn topolNodes, totalNodes, hasNextPage\n   931→}\n   932→"}]},"uuid":"6c8edef1-a8c9-456d-97fa-3d410e04f313","timestamp":"2026-03-16T10:18:49.302Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"fcc08240-82bd-4123-8e1f-ce0f95d8df8c","timestamp":"2026-03-16T10:18:49.304Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"7d12d80c-ddfe-4da1-bf07-ce2fd2aba9ec","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UMxCyReToFRrj3nPfMgWFx","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// This file contains job statistics and histogram generation functionality for the JobRepository.\n     7→//\n     8→// # Job Statistics\n     9→//\n    10→// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n    11→// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n    12→//   - Overall (JobsStats): Single aggregate across all matching jobs\n    13→//   - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n    14→//   - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n    15→//\n    16→// All statistics methods support filtering via JobFilter and respect security contexts.\n    17→//\n    18→// # Histograms\n    19→//\n    20→// Histogram methods generate distribution data for visualization:\n    21→//   - Duration, nodes, cores, accelerators (AddHistograms)\n    22→//   - Job metrics like CPU load, memory usage (AddMetricHistograms)\n    23→//\n    24→// Histograms use intelligent binning:\n    25→//   - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n    26→//   - Resources: Natural value-based bins\n    27→//   - Metrics: Normalized to peak values with configurable bin counts\n    28→//\n    29→// # Running vs. Completed Jobs\n    30→//\n    31→// Statistics handle running jobs specially:\n    32→//   - Duration calculated as (now - start_time) for running jobs\n    33→//   - Metric histograms for running jobs load data from metric backend instead of footprint\n    34→//   - Job state filtering distinguishes running/completed jobs\n    35→//\n    36→// # Performance Considerations\n    37→//\n    38→// - All queries use prepared statements via stmtCache\n    39→// - Complex aggregations use SQL for efficiency\n    40→// - Histogram pre-initialization ensures consistent bin ranges\n    41→// - Metric histogram queries limited to 5000 jobs for running job analysis\n    42→\n    43→package repository\n    44→\n    45→import (\n    46→\t\"context\"\n    47→\t\"database/sql\"\n    48→\t\"fmt\"\n    49→\t\"time\"\n    50→\n    51→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    52→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    53→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    54→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    55→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    56→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    57→\tsq \"github.com/Masterminds/squirrel\"\n    58→\t\"golang.org/x/sync/errgroup\"\n    59→)\n    60→\n    61→// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n    62→// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n    63→// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\n    64→var groupBy2column = map[model.Aggregate]string{\n    65→\tmodel.AggregateUser:       \"job.hpc_user\",\n    66→\tmodel.AggregateProject:    \"job.project\",\n    67→\tmodel.AggregateCluster:    \"job.cluster\",\n    68→\tmodel.AggregateSubcluster: \"job.subcluster\",\n    69→}\n    70→\n    71→// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n    72→// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n    73→// Column names match the AS aliases used in buildStatsQuery.\n    74→var sortBy2column = map[model.SortByAggregate]string{\n    75→\tmodel.SortByAggregateTotaljobs:      \"totalJobs\",\n    76→\tmodel.SortByAggregateTotalusers:     \"totalUsers\",\n    77→\tmodel.SortByAggregateTotalwalltime:  \"totalWalltime\",\n    78→\tmodel.SortByAggregateTotalnodes:     \"totalNodes\",\n    79→\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n    80→\tmodel.SortByAggregateTotalcores:     \"totalCores\",\n    81→\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n    82→\tmodel.SortByAggregateTotalaccs:      \"totalAccs\",\n    83→\tmodel.SortByAggregateTotalacchours:  \"totalAccHours\",\n    84→}\n    85→\n    86→// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n    87→//\n    88→// Parameters:\n    89→//   - filter: Job filters to apply (cluster, user, time range, etc.)\n    90→//   - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n    91→//   - col: Column name to GROUP BY; empty string for total count without grouping\n    92→//\n    93→// Returns a SelectBuilder that produces either:\n    94→//   - Single count: COUNT(job.id) when col is empty\n    95→//   - Grouped counts: col, COUNT(job.id) when col is specified\n    96→//\n    97→// The kind parameter enables counting specific job categories:\n    98→//   - \"running\": Only jobs with job_state = 'running'\n    99→//   - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n   100→//   - empty: All jobs matching filters\n   101→func (r *JobRepository) buildCountQuery(\n   102→\tfilter []*model.JobFilter,\n   103→\tkind string,\n   104→\tcol string,\n   105→) sq.SelectBuilder {\n   106→\tvar query sq.SelectBuilder\n   107→\n   108→\tif col != \"\" {\n   109→\t\tquery = sq.Select(col, \"COUNT(*)\").From(\"job\").GroupBy(col)\n   110→\t} else {\n   111→\t\tquery = sq.Select(\"COUNT(*)\").From(\"job\")\n   112→\t}\n   113→\n   114→\tswitch kind {\n   115→\tcase \"running\":\n   116→\t\tquery = query.Where(\"job.job_state = 'running'\")\n   117→\tcase \"short\":\n   118→\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n   119→\t}\n   120→\n   121→\tfor _, f := range filter {\n   122→\t\tquery = BuildWhereClause(f, query)\n   123→\t}\n   124→\n   125→\treturn query\n   126→}\n   127→\n   128→// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n   129→// Only requested columns are computed; unrequested columns select 0 as placeholder.\n   130→//\n   131→// Parameters:\n   132→//   - filter: Job filters to apply (cluster, user, time range, etc.)\n   133→//   - col: Column name to GROUP BY; empty string for overall statistics without grouping\n   134→//   - shortThreshold: Duration threshold in seconds for counting short-running jobs\n   135→//   - reqFields: Set of requested field names; nil means compute all fields\n   136→func (r *JobRepository) buildStatsQuery(\n   137→\tfilter []*model.JobFilter,\n   138→\tcol string,\n   139→\tshortThreshold int,\n   140→\treqFields map[string]bool,\n   141→) sq.SelectBuilder {\n   142→\tnow := time.Now().Unix()\n   143→\n   144→\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n   145→\tneed := func(field string) bool {\n   146→\t\treturn reqFields == nil || reqFields[field]\n   147→\t}\n   148→\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n   149→\n   150→\t// Build column list\n   151→\tcolumns := make([]string, 0, 14)\n   152→\n   153→\tif col != \"\" {\n   154→\t\tcolumns = append(columns, col)\n   155→\t}\n   156→\n   157→\tcolumns = append(columns, \"COUNT(*) as totalJobs\")\n   158→\n   159→\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n   160→\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n   161→\t} else {\n   162→\t\tcolumns = append(columns, \"0 AS totalUsers\")\n   163→\t}\n   164→\n   165→\tif need(\"totalWalltime\") {\n   166→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n   167→\t} else {\n   168→\t\tcolumns = append(columns, \"0 as totalWalltime\")\n   169→\t}\n   170→\n   171→\tif need(\"totalNodes\") {\n   172→\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n   173→\t} else {\n   174→\t\tcolumns = append(columns, \"0 as totalNodes\")\n   175→\t}\n   176→\n   177→\tif need(\"totalNodeHours\") {\n   178→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n   179→\t} else {\n   180→\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n   181→\t}\n   182→\n   183→\tif need(\"totalCores\") {\n   184→\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n   185→\t} else {\n   186→\t\tcolumns = append(columns, \"0 as totalCores\")\n   187→\t}\n   188→\n   189→\tif need(\"totalCoreHours\") {\n   190→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n   191→\t} else {\n   192→\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n   193→\t}\n   194→\n   195→\tif need(\"totalAccs\") {\n   196→\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n   197→\t} else {\n   198→\t\tcolumns = append(columns, \"0 as totalAccs\")\n   199→\t}\n   200→\n   201→\tif need(\"totalAccHours\") {\n   202→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n   203→\t} else {\n   204→\t\tcolumns = append(columns, \"0 as totalAccHours\")\n   205→\t}\n   206→\n   207→\tif need(\"runningJobs\") {\n   208→\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n   209→\t} else {\n   210→\t\tcolumns = append(columns, \"0 as runningJobs\")\n   211→\t}\n   212→\n   213→\tif need(\"shortJobs\") {\n   214→\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n   215→\t} else {\n   216→\t\tcolumns = append(columns, \"0 as shortJobs\")\n   217→\t}\n   218→\n   219→\tquery := sq.Select(columns...).From(\"job\")\n   220→\tif col != \"\" {\n   221→\t\tquery = query.GroupBy(col)\n   222→\t}\n   223→\n   224→\tfor _, f := range filter {\n   225→\t\tquery = BuildWhereClause(f, query)\n   226→\t}\n   227→\n   228→\treturn query\n   229→}\n   230→\n   231→// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n   232→// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n   233→// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\n   234→func (r *JobRepository) JobsStatsGrouped(\n   235→\tctx context.Context,\n   236→\tfilter []*model.JobFilter,\n   237→\tpage *model.PageRequest,\n   238→\tsortBy *model.SortByAggregate,\n   239→\tgroupBy *model.Aggregate,\n   240→\treqFields map[string]bool,\n   241→) ([]*model.JobsStatistics, error) {\n   242→\tcol := groupBy2column[*groupBy]\n   243→\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n   244→\n   245→\tquery, err := SecurityCheck(ctx, query)\n   246→\tif err != nil {\n   247→\t\treturn nil, err\n   248→\t}\n   249→\n   250→\tif sortBy != nil {\n   251→\t\tsortBy := sortBy2column[*sortBy]\n   252→\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n   253→\t}\n   254→\tif page != nil && page.ItemsPerPage != -1 {\n   255→\t\tlimit := uint64(page.ItemsPerPage)\n   256→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n   257→\t}\n   258→\n   259→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n   260→\tif err != nil {\n   261→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n   262→\t\treturn nil, err\n   263→\t}\n   264→\tdefer rows.Close()\n   265→\n   266→\tstats := make([]*model.JobsStatistics, 0, 100)\n   267→\n   268→\tfor rows.Next() {\n   269→\t\tvar id sql.NullString\n   270→\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n   271→\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n   272→\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n   273→\t\t\treturn nil, err\n   274→\t\t}\n   275→\n   276→\t\tif id.Valid {\n   277→\t\t\tstats = append(stats,\n   278→\t\t\t\t&model.JobsStatistics{\n   279→\t\t\t\t\tID:             id.String,\n   280→\t\t\t\t\tTotalJobs:      int(jobs.Int64),\n   281→\t\t\t\t\tTotalUsers:     int(users.Int64),\n   282→\t\t\t\t\tTotalWalltime:  int(walltime.Int64),\n   283→\t\t\t\t\tTotalNodes:     int(nodes.Int64),\n   284→\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n   285→\t\t\t\t\tTotalCores:     int(cores.Int64),\n   286→\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n   287→\t\t\t\t\tTotalAccs:      int(accs.Int64),\n   288→\t\t\t\t\tTotalAccHours:  int(accHours.Int64),\n   289→\t\t\t\t\tRunningJobs:    int(runningJobs.Int64),\n   290→\t\t\t\t\tShortJobs:      int(shortJobs.Int64),\n   291→\t\t\t\t})\n   292→\t\t}\n   293→\t}\n   294→\n   295→\tif err := rows.Err(); err != nil {\n   296→\t\treturn nil, err\n   297→\t}\n   298→\n   299→\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n   300→\tif col == \"job.hpc_user\" && len(stats) > 0 {\n   301→\t\tusernames := make([]any, len(stats))\n   302→\t\tfor i, s := range stats {\n   303→\t\t\tusernames[i] = s.ID\n   304→\t\t}\n   305→\n   306→\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n   307→\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n   308→\t\tif err != nil {\n   309→\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n   310→\t\t\t// Non-fatal: stats are still valid without display names\n   311→\t\t} else {\n   312→\t\t\tdefer nameRows.Close()\n   313→\t\t\tnameMap := make(map[string]string, len(stats))\n   314→\t\t\tfor nameRows.Next() {\n   315→\t\t\t\tvar username, name string\n   316→\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n   317→\t\t\t\t\tnameMap[username] = name\n   318→\t\t\t\t}\n   319→\t\t\t}\n   320→\t\t\tfor _, s := range stats {\n   321→\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n   322→\t\t\t\t\ts.Name = name\n   323→\t\t\t\t}\n   324→\t\t\t}\n   325→\t\t}\n   326→\t}\n   327→\n   328→\treturn stats, nil\n   329→}\n   330→\n   331→// JobsStats computes overall job statistics across all matching jobs without grouping.\n   332→//\n   333→// This method provides a single aggregate view of job metrics, useful for dashboard\n   334→// summaries and overall system utilization reports.\n   335→//\n   336→// Parameters:\n   337→//   - ctx: Context for security checks and cancellation\n   338→//   - filter: Filters to apply (time range, cluster, job state, etc.)\n   339→//\n   340→// Returns a single-element slice containing aggregate statistics:\n   341→//   - totalJobs, totalUsers, totalWalltime\n   342→//   - totalNodeHours, totalCoreHours, totalAccHours\n   343→//\n   344→// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n   345→// Security checks are applied via SecurityCheck to respect user access levels.\n   346→func (r *JobRepository) JobsStats(\n   347→\tctx context.Context,\n   348→\tfilter []*model.JobFilter,\n   349→\treqFields map[string]bool,\n   350→) ([]*model.JobsStatistics, error) {\n   351→\tstart := time.Now()\n   352→\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n   353→\tquery, err := SecurityCheck(ctx, query)\n   354→\tif err != nil {\n   355→\t\treturn nil, err\n   356→\t}\n   357→\n   358→\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n   359→\tstats := make([]*model.JobsStatistics, 0, 1)\n   360→\n   361→\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n   362→\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n   363→\t\tcclog.Warn(\"Error while scanning rows\")\n   364→\t\treturn nil, err\n   365→\t}\n   366→\n   367→\tif jobs.Valid {\n   368→\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n   369→\n   370→\t\tif nodeHours.Valid {\n   371→\t\t\ttotalNodeHours = int(nodeHours.Int64)\n   372→\t\t}\n   373→\t\tif coreHours.Valid {\n   374→\t\t\ttotalCoreHours = int(coreHours.Int64)\n   375→\t\t}\n   376→\t\tif accHours.Valid {\n   377→\t\t\ttotalAccHours = int(accHours.Int64)\n   378→\t\t}\n   379→\t\tstats = append(stats,\n   380→\t\t\t&model.JobsStatistics{\n   381→\t\t\t\tTotalJobs:      int(jobs.Int64),\n   382→\t\t\t\tTotalUsers:     int(users.Int64),\n   383→\t\t\t\tTotalWalltime:  int(walltime.Int64),\n   384→\t\t\t\tTotalNodeHours: totalNodeHours,\n   385→\t\t\t\tTotalCoreHours: totalCoreHours,\n   386→\t\t\t\tTotalAccHours:  totalAccHours,\n   387→\t\t\t\tRunningJobs:    int(runningJobs.Int64),\n   388→\t\t\t\tShortJobs:      int(shortJobs.Int64),\n   389→\t\t\t})\n   390→\t}\n   391→\n   392→\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n   393→\treturn stats, nil\n   394→}\n   395→\n   396→// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n   397→// Returns 0.0 if the metric is not found or statType is invalid.\n   398→//\n   399→// Parameters:\n   400→//   - job: Job struct with populated Statistics field\n   401→//   - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n   402→//   - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n   403→//\n   404→// Returns the requested statistic value or 0.0 if not found.\n   405→func LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n   406→\tif stats, ok := job.Statistics[metric]; ok {\n   407→\t\tswitch statType {\n   408→\t\tcase \"avg\":\n   409→\t\t\treturn stats.Avg\n   410→\t\tcase \"max\":\n   411→\t\t\treturn stats.Max\n   412→\t\tcase \"min\":\n   413→\t\t\treturn stats.Min\n   414→\t\tdefault:\n   415→\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n   416→\t\t}\n   417→\t}\n   418→\n   419→\treturn 0.0\n   420→}\n   421→\n   422→// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n   423→//\n   424→// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n   425→// avoiding the overhead of calculating walltime and resource usage metrics.\n   426→//\n   427→// Parameters:\n   428→//   - ctx: Context for security checks\n   429→//   - filter: Filters to apply\n   430→//   - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n   431→//\n   432→// Returns JobsStatistics with only ID and TotalJobs populated for each group.\n   433→func (r *JobRepository) JobCountGrouped(\n   434→\tctx context.Context,\n   435→\tfilter []*model.JobFilter,\n   436→\tgroupBy *model.Aggregate,\n   437→) ([]*model.JobsStatistics, error) {\n   438→\tstart := time.Now()\n   439→\tcol := groupBy2column[*groupBy]\n   440→\tquery := r.buildCountQuery(filter, \"\", col)\n   441→\tquery, err := SecurityCheck(ctx, query)\n   442→\tif err != nil {\n   443→\t\treturn nil, err\n   444→\t}\n   445→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n   446→\tif err != nil {\n   447→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n   448→\t\treturn nil, err\n   449→\t}\n   450→\tdefer rows.Close()\n   451→\n   452→\tstats := make([]*model.JobsStatistics, 0, 100)\n   453→\n   454→\tfor rows.Next() {\n   455→\t\tvar id sql.NullString\n   456→\t\tvar cnt sql.NullInt64\n   457→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n   458→\t\t\tcclog.Warn(\"Error while scanning rows\")\n   459→\t\t\treturn nil, err\n   460→\t\t}\n   461→\t\tif id.Valid {\n   462→\t\t\tstats = append(stats,\n   463→\t\t\t\t&model.JobsStatistics{\n   464→\t\t\t\t\tID:        id.String,\n   465→\t\t\t\t\tTotalJobs: int(cnt.Int64),\n   466→\t\t\t\t})\n   467→\t\t}\n   468→\t}\n   469→\n   470→\tif err := rows.Err(); err != nil {\n   471→\t\treturn nil, err\n   472→\t}\n   473→\n   474→\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n   475→\treturn stats, nil\n   476→}\n   477→\n   478→// AddJobCountGrouped augments existing statistics with additional job counts by category.\n   479→//\n   480→// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n   481→// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n   482→//\n   483→// Parameters:\n   484→//   - ctx: Context for security checks\n   485→//   - filter: Filters to apply\n   486→//   - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n   487→//   - stats: Existing statistics to augment (modified in-place by ID matching)\n   488→//   - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n   489→//\n   490→// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n   491→// Groups without matching jobs will have 0 for the added field.\n   492→func (r *JobRepository) AddJobCountGrouped(\n   493→\tctx context.Context,\n   494→\tfilter []*model.JobFilter,\n   495→\tgroupBy *model.Aggregate,\n   496→\tstats []*model.JobsStatistics,\n   497→\tkind string,\n   498→) ([]*model.JobsStatistics, error) {\n   499→\tstart := time.Now()\n   500→\tcol := groupBy2column[*groupBy]\n   501→\tquery := r.buildCountQuery(filter, kind, col)\n   502→\tquery, err := SecurityCheck(ctx, query)\n   503→\tif err != nil {\n   504→\t\treturn nil, err\n   505→\t}\n   506→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n   507→\tif err != nil {\n   508→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n   509→\t\treturn nil, err\n   510→\t}\n   511→\tdefer rows.Close()\n   512→\n   513→\tcounts := make(map[string]int)\n   514→\n   515→\tfor rows.Next() {\n   516→\t\tvar id sql.NullString\n   517→\t\tvar cnt sql.NullInt64\n   518→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n   519→\t\t\tcclog.Warn(\"Error while scanning rows\")\n   520→\t\t\treturn nil, err\n   521→\t\t}\n   522→\t\tif id.Valid {\n   523→\t\t\tcounts[id.String] = int(cnt.Int64)\n   524→\t\t}\n   525→\t}\n   526→\n   527→\tif err := rows.Err(); err != nil {\n   528→\t\treturn nil, err\n   529→\t}\n   530→\n   531→\tswitch kind {\n   532→\tcase \"running\":\n   533→\t\tfor _, s := range stats {\n   534→\t\t\ts.RunningJobs = counts[s.ID]\n   535→\t\t}\n   536→\tcase \"short\":\n   537→\t\tfor _, s := range stats {\n   538→\t\t\ts.ShortJobs = counts[s.ID]\n   539→\t\t}\n   540→\t}\n   541→\n   542→\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n   543→\treturn stats, nil\n   544→}\n   545→\n   546→// AddJobCount augments existing overall statistics with additional job counts by category.\n   547→//\n   548→// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n   549→// to all statistics entries (typically just one).\n   550→//\n   551→// Parameters:\n   552→//   - ctx: Context for security checks\n   553→//   - filter: Filters to apply\n   554→//   - stats: Existing statistics to augment (modified in-place)\n   555→//   - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n   556→//\n   557→// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\n   558→func (r *JobRepository) AddJobCount(\n   559→\tctx context.Context,\n   560→\tfilter []*model.JobFilter,\n   561→\tstats []*model.JobsStatistics,\n   562→\tkind string,\n   563→) ([]*model.JobsStatistics, error) {\n   564→\tstart := time.Now()\n   565→\tquery := r.buildCountQuery(filter, kind, \"\")\n   566→\tquery, err := SecurityCheck(ctx, query)\n   567→\tif err != nil {\n   568→\t\treturn nil, err\n   569→\t}\n   570→\tvar cnt sql.NullInt64\n   571→\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n   572→\t\tcclog.Warn(\"Error while querying DB for job count\")\n   573→\t\treturn nil, err\n   574→\t}\n   575→\n   576→\tcount := int(cnt.Int64)\n   577→\n   578→\tswitch kind {\n   579→\tcase \"running\":\n   580→\t\tfor _, s := range stats {\n   581→\t\t\ts.RunningJobs = count\n   582→\t\t}\n   583→\tcase \"short\":\n   584→\t\tfor _, s := range stats {\n   585→\t\t\ts.ShortJobs = count\n   586→\t\t}\n   587→\t}\n   588→\n   589→\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n   590→\treturn stats, nil\n   591→}\n   592→\n   593→// AddHistograms augments statistics with distribution histograms for job properties.\n   594→//\n   595→// Generates histogram data for visualization of job duration, node count, core count,\n   596→// and accelerator count distributions. Duration histogram uses intelligent binning based\n   597→// on the requested resolution.\n   598→//\n   599→// Parameters:\n   600→//   - ctx: Context for security checks\n   601→//   - filter: Filters to apply to jobs included in histograms\n   602→//   - stat: Statistics struct to augment (modified in-place)\n   603→//   - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n   604→//\n   605→// Populates these fields in stat:\n   606→//   - HistDuration: Job duration distribution (zero-padded bins)\n   607→//   - HistNumNodes: Node count distribution\n   608→//   - HistNumCores: Core (hwthread) count distribution\n   609→//   - HistNumAccs: Accelerator count distribution\n   610→//\n   611→// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n   612→// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\n   613→func (r *JobRepository) AddHistograms(\n   614→\tctx context.Context,\n   615→\tfilter []*model.JobFilter,\n   616→\tstat *model.JobsStatistics,\n   617→\tdurationBins *string,\n   618→) (*model.JobsStatistics, error) {\n   619→\tstart := time.Now()\n   620→\n   621→\tvar targetBinCount int\n   622→\tvar targetBinSize int\n   623→\tswitch *durationBins {\n   624→\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n   625→\t\ttargetBinCount = 60\n   626→\t\ttargetBinSize = 60\n   627→\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n   628→\t\ttargetBinCount = 72\n   629→\t\ttargetBinSize = 600\n   630→\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n   631→\t\ttargetBinCount = 48\n   632→\t\ttargetBinSize = 3600\n   633→\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n   634→\t\ttargetBinCount = 12\n   635→\t\ttargetBinSize = 21600\n   636→\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n   637→\t\ttargetBinCount = 14\n   638→\t\ttargetBinSize = 43200\n   639→\tdefault: // 24h\n   640→\t\ttargetBinCount = 24\n   641→\t\ttargetBinSize = 3600\n   642→\t}\n   643→\n   644→\t// Run all 4 histogram queries in parallel — each writes a distinct struct field.\n   645→\tg, gctx := errgroup.WithContext(ctx)\n   646→\n   647→\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n   648→\n   649→\tg.Go(func() error {\n   650→\t\tvar err error\n   651→\t\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(gctx, value, filter, targetBinSize, &targetBinCount)\n   652→\t\tif err != nil {\n   653→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n   654→\t\t}\n   655→\t\treturn err\n   656→\t})\n   657→\tg.Go(func() error {\n   658→\t\tvar err error\n   659→\t\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(gctx, \"job.num_nodes as value\", filter)\n   660→\t\tif err != nil {\n   661→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n   662→\t\t}\n   663→\t\treturn err\n   664→\t})\n   665→\tg.Go(func() error {\n   666→\t\tvar err error\n   667→\t\tstat.HistNumCores, err = r.jobsStatisticsHistogram(gctx, \"job.num_hwthreads as value\", filter)\n   668→\t\tif err != nil {\n   669→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n   670→\t\t}\n   671→\t\treturn err\n   672→\t})\n   673→\tg.Go(func() error {\n   674→\t\tvar err error\n   675→\t\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(gctx, \"job.num_acc as value\", filter)\n   676→\t\tif err != nil {\n   677→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n   678→\t\t}\n   679→\t\treturn err\n   680→\t})\n   681→\n   682→\tif err := g.Wait(); err != nil {\n   683→\t\treturn nil, err\n   684→\t}\n   685→\n   686→\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n   687→\treturn stat, nil\n   688→}\n   689→\n   690→// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n   691→//\n   692→// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n   693→// and completed jobs differently: running jobs load data from metric backend, completed jobs\n   694→// use footprint data from database.\n   695→//\n   696→// Parameters:\n   697→//   - ctx: Context for security checks\n   698→//   - filter: Filters to apply (MUST contain State filter for running jobs)\n   699→//   - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n   700→//   - stat: Statistics struct to augment (modified in-place)\n   701→//   - targetBinCount: Number of histogram bins (default: 10)\n   702→//\n   703→// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n   704→//\n   705→// Binning algorithm:\n   706→//   - Values normalized to metric's peak value from cluster configuration\n   707→//   - Bins evenly distributed from 0 to peak\n   708→//   - Pre-initialized with zeros for consistent visualization\n   709→//\n   710→// Limitations:\n   711→//   - Running jobs: Limited to 5000 jobs for performance\n   712→//   - Requires valid cluster configuration with metric peak values\n   713→//   - Uses footprint statistic (avg/max/min) configured per metric\n   714→func (r *JobRepository) AddMetricHistograms(\n   715→\tctx context.Context,\n   716→\tfilter []*model.JobFilter,\n   717→\tmetrics []string,\n   718→\tstat *model.JobsStatistics,\n   719→\ttargetBinCount *int,\n   720→) (*model.JobsStatistics, error) {\n   721→\tstart := time.Now()\n   722→\n   723→\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n   724→\tfor _, f := range filter {\n   725→\t\tif f.State != nil {\n   726→\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n   727→\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n   728→\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n   729→\t\t\t\treturn stat, nil\n   730→\t\t\t}\n   731→\t\t}\n   732→\t}\n   733→\n   734→\t// All other cases: Query and make bins in sqlite directly\n   735→\tfor _, m := range metrics {\n   736→\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n   737→\t\tif err != nil {\n   738→\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n   739→\t\t\tcontinue\n   740→\t\t}\n   741→\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n   742→\t}\n   743→\n   744→\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n   745→\treturn stat, nil\n   746→}\n   747→\n   748→// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n   749→//\n   750→// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n   751→// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n   752→//\n   753→// Parameters:\n   754→//   - value: SQL expression that produces the histogram value, aliased as \"value\"\n   755→//   - filters: Job filters to apply\n   756→//\n   757→// Returns histogram points with Value (from column) and Count (number of jobs).\n   758→func (r *JobRepository) jobsStatisticsHistogram(\n   759→\tctx context.Context,\n   760→\tvalue string,\n   761→\tfilters []*model.JobFilter,\n   762→) ([]*model.HistoPoint, error) {\n   763→\tstart := time.Now()\n   764→\tquery, qerr := SecurityCheck(ctx,\n   765→\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n   766→\n   767→\tif qerr != nil {\n   768→\t\treturn nil, qerr\n   769→\t}\n   770→\n   771→\tfor _, f := range filters {\n   772→\t\tquery = BuildWhereClause(f, query)\n   773→\t}\n   774→\n   775→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n   776→\tif err != nil {\n   777→\t\tcclog.Error(\"Error while running query\")\n   778→\t\treturn nil, err\n   779→\t}\n   780→\tdefer rows.Close()\n   781→\n   782→\tpoints := make([]*model.HistoPoint, 0)\n   783→\t// is it possible to introduce zero values here? requires info about bincount\n   784→\tfor rows.Next() {\n   785→\t\tpoint := model.HistoPoint{}\n   786→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n   787→\t\t\tcclog.Warn(\"Error while scanning rows\")\n   788→\t\t\treturn nil, err\n   789→\t\t}\n   790→\n   791→\t\tpoints = append(points, &point)\n   792→\t}\n   793→\n   794→\tif err := rows.Err(); err != nil {\n   795→\t\treturn nil, err\n   796→\t}\n   797→\n   798→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n   799→\treturn points, nil\n   800→}\n   801→\n   802→// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n   803→//\n   804→// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n   805→// histograms which only return bins with data. The value parameter should compute\n   806→// the bin number from job duration.\n   807→//\n   808→// Parameters:\n   809→//   - value: SQL expression computing bin number from duration, aliased as \"value\"\n   810→//   - filters: Job filters to apply\n   811→//   - binSizeSeconds: Width of each bin in seconds\n   812→//   - targetBinCount: Number of bins to pre-initialize\n   813→//\n   814→// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n   815→// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n   816→//\n   817→// Algorithm:\n   818→//  1. Pre-initialize targetBinCount bins with zero counts\n   819→//  2. Query database for actual counts per bin\n   820→//  3. Match query results to pre-initialized bins by value\n   821→//  4. Bins without matches remain at zero\n   822→func (r *JobRepository) jobsDurationStatisticsHistogram(\n   823→\tctx context.Context,\n   824→\tvalue string,\n   825→\tfilters []*model.JobFilter,\n   826→\tbinSizeSeconds int,\n   827→\ttargetBinCount *int,\n   828→) ([]*model.HistoPoint, error) {\n   829→\tstart := time.Now()\n   830→\tquery, qerr := SecurityCheck(ctx,\n   831→\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n   832→\n   833→\tif qerr != nil {\n   834→\t\treturn nil, qerr\n   835→\t}\n   836→\n   837→\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n   838→\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n   839→\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n   840→\tfor i := 1; i <= *targetBinCount; i++ {\n   841→\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n   842→\t\tpoints = append(points, &point)\n   843→\t}\n   844→\n   845→\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n   846→\tbinMap := make(map[int]int, len(points))\n   847→\tfor i, p := range points {\n   848→\t\tbinMap[p.Value] = i\n   849→\t}\n   850→\n   851→\tfor _, f := range filters {\n   852→\t\tquery = BuildWhereClause(f, query)\n   853→\t}\n   854→\n   855→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n   856→\tif err != nil {\n   857→\t\tcclog.Error(\"Error while running query\")\n   858→\t\treturn nil, err\n   859→\t}\n   860→\tdefer rows.Close()\n   861→\n   862→\t// Match query results to pre-initialized bins using map lookup.\n   863→\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n   864→\tfor rows.Next() {\n   865→\t\tpoint := model.HistoPoint{}\n   866→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n   867→\t\t\tcclog.Warn(\"Error while scanning rows\")\n   868→\t\t\treturn nil, err\n   869→\t\t}\n   870→\n   871→\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n   872→\t\t\tpoints[idx].Count = point.Count\n   873→\t\t}\n   874→\t}\n   875→\n   876→\tif err := rows.Err(); err != nil {\n   877→\t\treturn nil, err\n   878→\t}\n   879→\n   880→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n   881→\treturn points, nil\n   882→}\n   883→\n   884→// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n   885→//\n   886→// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n   887→// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n   888→// and computing bin assignments in SQL.\n   889→//\n   890→// Parameters:\n   891→//   - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n   892→//   - filters: Job filters to apply\n   893→//   - bins: Number of bins to generate\n   894→//\n   895→// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n   896→//\n   897→// Algorithm:\n   898→//  1. Determine peak value from cluster configuration (filtered cluster or max across all)\n   899→//  2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n   900→//  3. Pre-initialize bins with min/max ranges based on peak value\n   901→//  4. Query database for counts per bin\n   902→//  5. Match results to pre-initialized bins\n   903→//\n   904→// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n   905→// peak by 0.999999999 to avoid creating an extra bin.\n   906→func (r *JobRepository) jobsMetricStatisticsHistogram(\n   907→\tctx context.Context,\n   908→\tmetric string,\n   909→\tfilters []*model.JobFilter,\n   910→\tbins *int,\n   911→) (*model.MetricHistoPoints, error) {\n   912→\t// Peak value defines the upper bound for binning: values are distributed across\n   913→\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n   914→\t// scan all clusters to find the maximum peak value.\n   915→\tvar metricConfig *schema.MetricConfig\n   916→\tvar peak float64\n   917→\tvar unit string\n   918→\tvar footprintStat string\n   919→\n   920→\t// Try to get metric config from filtered cluster\n   921→\tfor _, f := range filters {\n   922→\t\tif f.Cluster != nil {\n   923→\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n   924→\t\t\tpeak = metricConfig.Peak\n   925→\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n   926→\t\t\tfootprintStat = metricConfig.Footprint\n   927→\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n   928→\t\t}\n   929→\t}\n   930→\n   931→\t// If no cluster filter or peak not found, find largest peak across all clusters\n   932→\t// This ensures histogram can accommodate all possible values\n   933→\tif peak == 0.0 {\n   934→\t\tfor _, c := range archive.Clusters {\n   935→\t\t\tfor _, m := range c.MetricConfig {\n   936→\t\t\t\tif m.Name == metric {\n   937→\t\t\t\t\tif m.Peak > peak {\n   938→\t\t\t\t\t\tpeak = m.Peak\n   939→\t\t\t\t\t}\n   940→\t\t\t\t\tif unit == \"\" {\n   941→\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n   942→\t\t\t\t\t}\n   943→\t\t\t\t\tif footprintStat == \"\" {\n   944→\t\t\t\t\t\tfootprintStat = m.Footprint\n   945→\t\t\t\t\t}\n   946→\t\t\t\t}\n   947→\t\t\t}\n   948→\t\t}\n   949→\t}\n   950→\n   951→\t// Construct SQL histogram bins using normalized values.\n   952→\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n   953→\tstart := time.Now()\n   954→\n   955→\t// Bin calculation formula:\n   956→\t//   bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n   957→\t// Special case: value == peak would create bin N+1, so we test for equality\n   958→\t// and multiply peak by 0.999999999 to force it into bin N.\n   959→\tbinQuery := fmt.Sprintf(`CAST(\n   960→\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n   961→\t\t* %v as INTEGER )`,\n   962→\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n   963→\n   964→\tmainQuery := sq.Select(\n   965→\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n   966→\t\t`count(*) as count`,\n   967→\t).From(\"job\").Where(\n   968→\t\t\"JSON_VALID(footprint)\",\n   969→\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n   970→\n   971→\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n   972→\tif qerr != nil {\n   973→\t\treturn nil, qerr\n   974→\t}\n   975→\n   976→\tfor _, f := range filters {\n   977→\t\tmainQuery = BuildWhereClause(f, mainQuery)\n   978→\t}\n   979→\n   980→\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n   981→\n   982→\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n   983→\tif err != nil {\n   984→\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n   985→\t\treturn nil, err\n   986→\t}\n   987→\tdefer rows.Close()\n   988→\n   989→\t// Pre-initialize bins with calculated min/max ranges.\n   990→\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n   991→\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n   992→\tbinStep := int(peak) / *bins\n   993→\tfor i := 1; i <= *bins; i++ {\n   994→\t\tbinMin := (binStep * (i - 1))\n   995→\t\tbinMax := (binStep * i)\n   996→\t\tidx := i\n   997→\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n   998→\t\tpoints = append(points, &epoint)\n   999→\t}\n  1000→\n  1001→\t// Build a map from bin number to slice index for O(1) lookup.\n  1002→\tbinMap := make(map[int]int, len(points))\n  1003→\tfor i, p := range points {\n  1004→\t\tif p.Bin != nil {\n  1005→\t\t\tbinMap[*p.Bin] = i\n  1006→\t\t}\n  1007→\t}\n  1008→\n  1009→\t// Match query results to pre-initialized bins using map lookup.\n  1010→\tfor rows.Next() {\n  1011→\t\trpoint := model.MetricHistoPoint{}\n  1012→\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n  1013→\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n  1014→\t\t\treturn nil, err\n  1015→\t\t}\n  1016→\n  1017→\t\tif rpoint.Bin != nil {\n  1018→\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n  1019→\t\t\t\tpoints[idx].Count = rpoint.Count\n  1020→\t\t\t}\n  1021→\t\t}\n  1022→\t}\n  1023→\n  1024→\tif err := rows.Err(); err != nil {\n  1025→\t\treturn nil, err\n  1026→\t}\n  1027→\n  1028→\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n  1029→\n  1030→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n  1031→\treturn &result, nil\n  1032→}\n  1033→\n  1034→// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n  1035→//\n  1036→// Unlike completed jobs which use footprint data from the database, running jobs require\n  1037→// fetching current metric averages from the metric backend (via metricdispatch).\n  1038→//\n  1039→// Parameters:\n  1040→//   - metrics: List of metric names\n  1041→//   - filters: Job filters (should filter to running jobs only)\n  1042→//   - bins: Number of histogram bins\n  1043→//\n  1044→// Returns slice of MetricHistoPoints, one per metric.\n  1045→//\n  1046→// Limitations:\n  1047→//   - Maximum 5000 jobs (returns nil if more jobs match)\n  1048→//   - Requires metric backend availability\n  1049→//   - Bins based on metric peak values from cluster configuration\n  1050→//\n  1051→// Algorithm:\n  1052→//  1. Query first 5001 jobs to check count limit\n  1053→//  2. Load metric averages for all jobs via metricdispatch\n  1054→//  3. For each metric, create bins based on peak value\n  1055→//  4. Iterate averages and count jobs per bin\n  1056→func (r *JobRepository) runningJobsMetricStatisticsHistogram(\n  1057→\tctx context.Context,\n  1058→\tmetrics []string,\n  1059→\tfilters []*model.JobFilter,\n  1060→\tbins *int,\n  1061→) []*model.MetricHistoPoints {\n  1062→\t// Get Jobs\n  1063→\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n  1064→\tif err != nil {\n  1065→\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n  1066→\t\treturn nil\n  1067→\t}\n  1068→\tif len(jobs) > 5000 {\n  1069→\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n  1070→\t\treturn nil\n  1071→\t}\n  1072→\n  1073→\t// Get AVGs from metric repo\n  1074→\tavgs := make([][]schema.Float, len(metrics))\n  1075→\tfor i := range avgs {\n  1076→\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n  1077→\t}\n  1078→\n  1079→\tfor _, job := range jobs {\n  1080→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n  1081→\t\t\tcontinue\n  1082→\t\t}\n  1083→\n  1084→\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n  1085→\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n  1086→\t\t\treturn nil\n  1087→\t\t}\n  1088→\t}\n  1089→\n  1090→\t// Iterate metrics to fill endresult\n  1091→\tdata := make([]*model.MetricHistoPoints, 0)\n  1092→\tfor idx, metric := range metrics {\n  1093→\t\t// Get specific Peak or largest Peak\n  1094→\t\tvar metricConfig *schema.MetricConfig\n  1095→\t\tvar peak float64\n  1096→\t\tvar unit string\n  1097→\n  1098→\t\tfor _, f := range filters {\n  1099→\t\t\tif f.Cluster != nil {\n  1100→\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n  1101→\t\t\t\tpeak = metricConfig.Peak\n  1102→\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n  1103→\t\t\t}\n  1104→\t\t}\n  1105→\n  1106→\t\tif peak == 0.0 {\n  1107→\t\t\tfor _, c := range archive.Clusters {\n  1108→\t\t\t\tfor _, m := range c.MetricConfig {\n  1109→\t\t\t\t\tif m.Name == metric {\n  1110→\t\t\t\t\t\tif m.Peak > peak {\n  1111→\t\t\t\t\t\t\tpeak = m.Peak\n  1112→\t\t\t\t\t\t}\n  1113→\t\t\t\t\t\tif unit == \"\" {\n  1114→\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n  1115→\t\t\t\t\t\t}\n  1116→\t\t\t\t\t}\n  1117→\t\t\t\t}\n  1118→\t\t\t}\n  1119→\t\t}\n  1120→\n  1121→\t\t// Make and fill bins\n  1122→\t\tpeakBin := int(peak) / *bins\n  1123→\n  1124→\t\tpoints := make([]*model.MetricHistoPoint, 0)\n  1125→\t\tfor b := 0; b < *bins; b++ {\n  1126→\t\t\tcount := 0\n  1127→\t\t\tbindex := b + 1\n  1128→\t\t\tbmin := peakBin * b\n  1129→\t\t\tbmax := peakBin * (b + 1)\n  1130→\n  1131→\t\t\t// Iterate AVG values for indexed metric and count for bins\n  1132→\t\t\tfor _, val := range avgs[idx] {\n  1133→\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n  1134→\t\t\t\t\tcount += 1\n  1135→\t\t\t\t}\n  1136→\t\t\t}\n  1137→\n  1138→\t\t\t// Append Bin to Metric Result Array\n  1139→\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n  1140→\t\t\tpoints = append(points, &point)\n  1141→\t\t}\n  1142→\n  1143→\t\t// Append Metric Result Array to final results array\n  1144→\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n  1145→\t\tdata = append(data, &result)\n  1146→\t}\n  1147→\n  1148→\treturn data\n  1149→}\n  1150→"}]},"uuid":"1b08c0d7-88e3-46bf-b4e5-d3e9eefe380b","timestamp":"2026-03-16T10:18:49.571Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"0666b457-3523-46a7-8f45-9dbe3741fc13","timestamp":"2026-03-16T10:18:49.616Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"7e10136c-ebdc-48e4-9f8c-a7fbd406df6d","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Y6uvcUMmeCH46KE6L5JveJ","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package repository\n     6→\n     7→import (\n     8→\t\"encoding/json\"\n     9→\t\"maps\"\n    10→\t\"sync\"\n    11→\t\"time\"\n    12→\n    13→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    14→\t\"github.com/ClusterCockpit/cc-backend/web\"\n    15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    16→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n    17→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    18→\t\"github.com/jmoiron/sqlx\"\n    19→)\n    20→\n    21→var (\n    22→\tuserCfgRepoOnce     sync.Once\n    23→\tuserCfgRepoInstance *UserCfgRepo\n    24→)\n    25→\n    26→type UserCfgRepo struct {\n    27→\tDB         *sqlx.DB\n    28→\tLookup     *sqlx.Stmt\n    29→\tuiDefaults map[string]any\n    30→\tcache      *lrucache.Cache\n    31→\tlock       sync.RWMutex\n    32→}\n    33→\n    34→func GetUserCfgRepo() *UserCfgRepo {\n    35→\tuserCfgRepoOnce.Do(func() {\n    36→\t\tdb := GetConnection()\n    37→\n    38→\t\tlookupConfigStmt, err := db.DB.Preparex(`SELECT confkey, value FROM configuration WHERE configuration.username = ?`)\n    39→\t\tif err != nil {\n    40→\t\t\tcclog.Fatalf(\"User Config: Call 'db.DB.Preparex()' failed.\\nError: %s\\n\", err.Error())\n    41→\t\t}\n    42→\n    43→\t\tuserCfgRepoInstance = &UserCfgRepo{\n    44→\t\t\tDB:         db.DB,\n    45→\t\t\tLookup:     lookupConfigStmt,\n    46→\t\t\tuiDefaults: web.UIDefaultsMap,\n    47→\t\t\tcache:      lrucache.New(1024),\n    48→\t\t}\n    49→\t})\n    50→\n    51→\treturn userCfgRepoInstance\n    52→}\n    53→\n    54→// Return the personalised UI config for the currently authenticated\n    55→// user or return the plain default config.\n    56→func (uCfg *UserCfgRepo) GetUIConfig(user *schema.User) (map[string]any, error) {\n    57→\tif user == nil {\n    58→\t\tcopy := make(map[string]any, len(uCfg.uiDefaults))\n    59→\t\tmaps.Copy(copy, uCfg.uiDefaults)\n    60→\t\treturn copy, nil\n    61→\t}\n    62→\n    63→\t// Is the cache invalidated in case the options are changed?\n    64→\tdata := uCfg.cache.Get(user.Username, func() (any, time.Duration, int) {\n    65→\t\tuiconfig := make(map[string]any, len(uCfg.uiDefaults))\n    66→\t\tmaps.Copy(uiconfig, uCfg.uiDefaults)\n    67→\n    68→\t\trows, err := uCfg.Lookup.Query(user.Username)\n    69→\t\tif err != nil {\n    70→\t\t\tcclog.Warnf(\"Error while looking up user uiconfig for user '%v'\", user.Username)\n    71→\t\t\treturn err, 0, 0\n    72→\t\t}\n    73→\n    74→\t\tsize := 0\n    75→\t\tdefer rows.Close()\n    76→\t\tfor rows.Next() {\n    77→\t\t\tvar key, rawval string\n    78→\t\t\tif err := rows.Scan(&key, &rawval); err != nil {\n    79→\t\t\t\tcclog.Warn(\"Error while scanning user uiconfig values\")\n    80→\t\t\t\treturn err, 0, 0\n    81→\t\t\t}\n    82→\n    83→\t\t\tvar val any\n    84→\t\t\tif err := json.Unmarshal([]byte(rawval), &val); err != nil {\n    85→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw user uiconfig json\")\n    86→\t\t\t\treturn err, 0, 0\n    87→\t\t\t}\n    88→\n    89→\t\t\tsize += len(key)\n    90→\t\t\tsize += len(rawval)\n    91→\t\t\tuiconfig[key] = val\n    92→\t\t}\n    93→\n    94→\t\t// Add global ShortRunningJobsDuration setting as jobList_hideShortRunningJobs\n    95→\t\tuiconfig[\"jobList_hideShortRunningJobs\"] = config.Keys.ShortRunningJobsDuration\n    96→\n    97→\t\treturn uiconfig, 24 * time.Hour, size\n    98→\t})\n    99→\tif err, ok := data.(error); ok {\n   100→\t\tcclog.Error(\"Error in returned dataset\")\n   101→\t\treturn nil, err\n   102→\t}\n   103→\n   104→\treturn data.(map[string]any), nil\n   105→}\n   106→\n   107→// If the context does not have a user, update the global ui configuration\n   108→// without persisting it!  If there is a (authenticated) user, update only his\n   109→// configuration.\n   110→func (uCfg *UserCfgRepo) UpdateConfig(\n   111→\tkey, value string,\n   112→\tuser *schema.User,\n   113→) error {\n   114→\tif user == nil {\n   115→\t\treturn nil\n   116→\t}\n   117→\n   118→\tif _, err := uCfg.DB.Exec(`REPLACE INTO configuration (username, confkey, value) VALUES (?, ?, ?)`, user.Username, key, value); err != nil {\n   119→\t\tcclog.Warnf(\"Error while replacing user config in DB for user '%v'\", user.Username)\n   120→\t\treturn err\n   121→\t}\n   122→\n   123→\tuCfg.cache.Del(user.Username)\n   124→\treturn nil\n   125→}\n   126→"}]},"uuid":"26b657ef-8d4f-4de6-b998-37cf55ac4d70","timestamp":"2026-03-16T10:18:49.618Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"d8270e24-3094-4818-af66-af3c4231100c","timestamp":"2026-03-16T10:18:49.714Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"e910ccc3-d5eb-4e2f-8003-6a46c3a6f551","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CpiGuLdz7DarZP3aRM8bis","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"bytes\"\n    10→\t\"encoding/json\"\n    11→\t\"time\"\n    12→\n    13→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n    14→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    16→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    17→\t\"github.com/go-co-op/gocron/v2\"\n    18→)\n    19→\n    20→const (\n    21→\tDefaultCompressOlderThan = 7\n    22→)\n    23→\n    24→// Retention defines the configuration for job retention policies.\n    25→type Retention struct {\n    26→\tPolicy             string `json:\"policy\"`\n    27→\tFormat             string `json:\"format\"`\n    28→\tAge                int    `json:\"age\"`\n    29→\tIncludeDB          bool   `json:\"include-db\"`\n    30→\tOmitTagged         string `json:\"omit-tagged\"`\n    31→\tTargetKind         string `json:\"target-kind\"`\n    32→\tTargetPath         string `json:\"target-path\"`\n    33→\tTargetEndpoint     string `json:\"target-endpoint\"`\n    34→\tTargetBucket       string `json:\"target-bucket\"`\n    35→\tTargetAccessKey    string `json:\"target-access-key\"`\n    36→\tTargetSecretKey    string `json:\"target-secret-key\"`\n    37→\tTargetRegion       string `json:\"target-region\"`\n    38→\tTargetUsePathStyle bool   `json:\"target-use-path-style\"`\n    39→\tMaxFileSizeMB      int    `json:\"max-file-size-mb\"`\n    40→}\n    41→\n    42→// CronFrequency defines the execution intervals for various background workers.\n    43→type CronFrequency struct {\n    44→\t// Duration Update Worker [Defaults to '2m']\n    45→\tCommitJobWorker string `json:\"commit-job-worker\"`\n    46→\t// Duration Update Worker [Defaults to '5m']\n    47→\tDurationWorker string `json:\"duration-worker\"`\n    48→\t// Metric-Footprint Update Worker [Defaults to '10m']\n    49→\tFootprintWorker string `json:\"footprint-worker\"`\n    50→}\n    51→\n    52→var (\n    53→\ts       gocron.Scheduler\n    54→\tjobRepo *repository.JobRepository\n    55→\t// Keys holds the configured frequencies for cron jobs.\n    56→\tKeys CronFrequency\n    57→)\n    58→\n    59→// parseDuration parses a duration string and handles errors by logging them.\n    60→// It returns the duration and any error encountered.\n    61→func parseDuration(s string) (time.Duration, error) {\n    62→\tinterval, err := time.ParseDuration(s)\n    63→\tif err != nil {\n    64→\t\tcclog.Warnf(\"Could not parse duration for sync interval: %v\",\n    65→\t\t\ts)\n    66→\t\treturn 0, err\n    67→\t}\n    68→\n    69→\tif interval == 0 {\n    70→\t\tcclog.Info(\"TaskManager: Sync interval is zero\")\n    71→\t}\n    72→\n    73→\treturn interval, nil\n    74→}\n    75→\n    76→func initArchiveServices(config json.RawMessage) {\n    77→\tvar cfg struct {\n    78→\t\tRetention   Retention `json:\"retention\"`\n    79→\t\tCompression int       `json:\"compression\"`\n    80→\t}\n    81→\tcfg.Retention.IncludeDB = true\n    82→\n    83→\tif err := json.Unmarshal(config, &cfg); err != nil {\n    84→\t\tcclog.Errorf(\"error while unmarshaling raw config json: %v\", err)\n    85→\t}\n    86→\n    87→\tswitch cfg.Retention.Policy {\n    88→\tcase \"delete\":\n    89→\t\tRegisterRetentionDeleteService(cfg.Retention)\n    90→\tcase \"copy\":\n    91→\t\tRegisterRetentionCopyService(cfg.Retention)\n    92→\tcase \"move\":\n    93→\t\tRegisterRetentionMoveService(cfg.Retention)\n    94→\t}\n    95→\n    96→\tif cfg.Compression > 0 {\n    97→\t\tRegisterCompressionService(cfg.Compression)\n    98→\t} else {\n    99→\t\tRegisterCompressionService(DefaultCompressOlderThan)\n   100→\t}\n   101→}\n   102→\n   103→// Start initializes the task manager, parses configurations, and registers background tasks.\n   104→// It starts the gocron scheduler.\n   105→func Start(cronCfg, archiveConfig json.RawMessage) {\n   106→\tvar err error\n   107→\tjobRepo = repository.GetJobRepository()\n   108→\ts, err = gocron.NewScheduler()\n   109→\tif err != nil {\n   110→\t\tcclog.Abortf(\"Taskmanager Start: Could not create gocron scheduler.\\nError: %s\\n\", err.Error())\n   111→\t}\n   112→\n   113→\tif config.Keys.StopJobsExceedingWalltime > 0 {\n   114→\t\tRegisterStopJobsExceedTime()\n   115→\t}\n   116→\n   117→\tdec := json.NewDecoder(bytes.NewReader(cronCfg))\n   118→\tdec.DisallowUnknownFields()\n   119→\tif err := dec.Decode(&Keys); err != nil {\n   120→\t\tcclog.Errorf(\"error while decoding cron config: %v\", err)\n   121→\t}\n   122→\n   123→\tif archiveConfig != nil {\n   124→\t\tinitArchiveServices(archiveConfig)\n   125→\t} else {\n   126→\t\t// Always enable compression\n   127→\t\tRegisterCompressionService(DefaultCompressOlderThan)\n   128→\t}\n   129→\n   130→\tlc := auth.Keys.LdapConfig\n   131→\n   132→\tif lc != nil && lc.SyncInterval != \"\" {\n   133→\t\tRegisterLdapSyncService(lc.SyncInterval)\n   134→\t}\n   135→\n   136→\tRegisterFootprintWorker()\n   137→\tRegisterUpdateDurationWorker()\n   138→\tRegisterCommitJobService()\n   139→\n   140→\tif config.Keys.NodeStateRetention != nil && config.Keys.NodeStateRetention.Policy != \"\" {\n   141→\t\tinitNodeStateRetention()\n   142→\t}\n   143→\n   144→\ts.Start()\n   145→}\n   146→\n   147→func initNodeStateRetention() {\n   148→\tcfg := config.Keys.NodeStateRetention\n   149→\tage := cfg.Age\n   150→\tif age <= 0 {\n   151→\t\tage = 24\n   152→\t}\n   153→\n   154→\tswitch cfg.Policy {\n   155→\tcase \"delete\":\n   156→\t\tRegisterNodeStateRetentionDeleteService(age)\n   157→\tcase \"move\":\n   158→\t\tRegisterNodeStateRetentionMoveService(cfg)\n   159→\tdefault:\n   160→\t\tcclog.Warnf(\"Unknown nodestate-retention policy: %s\", cfg.Policy)\n   161→\t}\n   162→}\n   163→\n   164→// Shutdown stops the task manager and its scheduler.\n   165→func Shutdown() {\n   166→\tif s != nil {\n   167→\t\ts.Shutdown()\n   168→\t}\n   169→}\n   170→"}]},"uuid":"b840ac82-4a71-46d9-966b-08f9e24c9ff6","timestamp":"2026-03-16T10:18:50.450Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"01afc9b5-e14c-4c7f-9c82-78662ffd0b55","timestamp":"2026-03-16T10:18:50.776Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"01afc9b5-e14c-4c7f-9c82-78662ffd0b55","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:50.952Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01U1b7E1LkY7Mpj9eAiD9htg","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016yhvR19UmnU9A4PBVr5Bav","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/server.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":732,"cache_read_input_tokens":18318,"cache_creation":{"ephemeral_5m_input_tokens":732,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6owgZ8C1ittjgPqDs","uuid":"fb5717cc-7ae1-4942-aa0d-3cac688edc69"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"3abb3ed5-e1ac-444b-8400-ea37551200fc","timestamp":"2026-03-16T10:18:50.952Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"3abb3ed5-e1ac-444b-8400-ea37551200fc","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016yhvR19UmnU9A4PBVr5Bav","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package main provides the entry point for the ClusterCockpit backend server.\n     7→// This file contains HTTP server setup, routing configuration, and\n     8→// authentication middleware integration.\n     9→package main\n    10→\n    11→import (\n    12→\t\"context\"\n    13→\t\"crypto/tls\"\n    14→\t\"encoding/json\"\n    15→\t\"errors\"\n    16→\t\"fmt\"\n    17→\t\"net\"\n    18→\t\"net/http\"\n    19→\t\"os\"\n    20→\t\"strings\"\n    21→\t\"time\"\n    22→\n    23→\t\"github.com/99designs/gqlgen/graphql\"\n    24→\t\"github.com/99designs/gqlgen/graphql/handler\"\n    25→\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n    26→\t\"github.com/99designs/gqlgen/graphql/playground\"\n    27→\t\"github.com/ClusterCockpit/cc-backend/internal/api\"\n    28→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    29→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n    30→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    31→\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n    32→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n    33→\t\"github.com/ClusterCockpit/cc-backend/internal/routerConfig\"\n    34→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n    35→\t\"github.com/ClusterCockpit/cc-backend/web\"\n    36→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    37→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    38→\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n    39→\t\"github.com/go-chi/chi/v5\"\n    40→\t\"github.com/go-chi/chi/v5/middleware\"\n    41→\t\"github.com/go-chi/cors\"\n    42→\thttpSwagger \"github.com/swaggo/http-swagger\"\n    43→)\n    44→\n    45→var buildInfo web.Build\n    46→\n    47→// Environment variable names\n    48→const (\n    49→\tenvDebug = \"DEBUG\"\n    50→)\n    51→\n    52→// Server encapsulates the HTTP server state and dependencies\n    53→type Server struct {\n    54→\trouter        chi.Router\n    55→\tserver        *http.Server\n    56→\trestAPIHandle *api.RestAPI\n    57→\tnatsAPIHandle *api.NatsAPI\n    58→}\n    59→\n    60→func onFailureResponse(rw http.ResponseWriter, r *http.Request, err error) {\n    61→\trw.Header().Add(\"Content-Type\", \"application/json\")\n    62→\trw.WriteHeader(http.StatusUnauthorized)\n    63→\tjson.NewEncoder(rw).Encode(map[string]string{\n    64→\t\t\"status\": http.StatusText(http.StatusUnauthorized),\n    65→\t\t\"error\":  err.Error(),\n    66→\t})\n    67→}\n    68→\n    69→// NewServer creates and initializes a new Server instance\n    70→func NewServer(version, commit, buildDate string) (*Server, error) {\n    71→\tbuildInfo = web.Build{Version: version, Hash: commit, Buildtime: buildDate}\n    72→\n    73→\ts := &Server{\n    74→\t\trouter: chi.NewRouter(),\n    75→\t}\n    76→\n    77→\tif err := s.init(); err != nil {\n    78→\t\treturn nil, err\n    79→\t}\n    80→\n    81→\treturn s, nil\n    82→}\n    83→\n    84→func (s *Server) init() error {\n    85→\t// Setup the http.Handler/Router used by the server\n    86→\tgraph.Init()\n    87→\tresolver := graph.GetResolverInstance()\n    88→\tgraphQLServer := handler.New(\n    89→\t\tgenerated.NewExecutableSchema(generated.Config{Resolvers: resolver}))\n    90→\n    91→\tgraphQLServer.AddTransport(transport.POST{})\n    92→\n    93→\t// Inject a per-request stats cache so that grouped statistics queries\n    94→\t// sharing the same (filter, groupBy) pair are executed only once.\n    95→\tgraphQLServer.AroundOperations(func(ctx context.Context, next graphql.OperationHandler) graphql.ResponseHandler {\n    96→\t\treturn next(graph.WithStatsGroupCache(ctx))\n    97→\t})\n    98→\n    99→\tif os.Getenv(envDebug) != \"1\" {\n   100→\t\t// Having this handler means that a error message is returned via GraphQL instead of the connection simply beeing closed.\n   101→\t\t// The problem with this is that then, no more stacktrace is printed to stderr.\n   102→\t\tgraphQLServer.SetRecoverFunc(func(ctx context.Context, err any) error {\n   103→\t\t\tswitch e := err.(type) {\n   104→\t\t\tcase string:\n   105→\t\t\t\treturn fmt.Errorf(\"MAIN > Panic: %s\", e)\n   106→\t\t\tcase error:\n   107→\t\t\t\treturn fmt.Errorf(\"MAIN > Panic caused by: %s\", e.Error())\n   108→\t\t\t}\n   109→\n   110→\t\t\treturn errors.New(\"MAIN > Internal server error (panic)\")\n   111→\t\t})\n   112→\t}\n   113→\n   114→\tauthHandle := auth.GetAuthInstance()\n   115→\n   116→\t// Middleware must be defined before routes in chi\n   117→\ts.router.Use(func(next http.Handler) http.Handler {\n   118→\t\treturn http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n   119→\t\t\tstart := time.Now()\n   120→\t\t\tww := middleware.NewWrapResponseWriter(rw, r.ProtoMajor)\n   121→\t\t\tnext.ServeHTTP(ww, r)\n   122→\t\t\tcclog.Debugf(\"%s %s (%d, %.02fkb, %dms)\",\n   123→\t\t\t\tr.Method, r.URL.RequestURI(),\n   124→\t\t\t\tww.Status(), float32(ww.BytesWritten())/1024,\n   125→\t\t\t\ttime.Since(start).Milliseconds())\n   126→\t\t})\n   127→\t})\n   128→\ts.router.Use(middleware.Compress(5))\n   129→\ts.router.Use(middleware.Recoverer)\n   130→\ts.router.Use(cors.Handler(cors.Options{\n   131→\t\tAllowCredentials: true,\n   132→\t\tAllowedHeaders:   []string{\"X-Requested-With\", \"Content-Type\", \"Authorization\", \"Origin\"},\n   133→\t\tAllowedMethods:   []string{\"GET\", \"POST\", \"HEAD\", \"OPTIONS\"},\n   134→\t\tAllowedOrigins:   []string{\"*\"},\n   135→\t}))\n   136→\n   137→\ts.restAPIHandle = api.New()\n   138→\n   139→\tinfo := map[string]any{}\n   140→\tinfo[\"hasOpenIDConnect\"] = false\n   141→\n   142→\tif auth.Keys.OpenIDConfig != nil {\n   143→\t\topenIDConnect := auth.NewOIDC(authHandle)\n   144→\t\topenIDConnect.RegisterEndpoints(s.router)\n   145→\t\tinfo[\"hasOpenIDConnect\"] = true\n   146→\t}\n   147→\n   148→\ts.router.Get(\"/login\", func(rw http.ResponseWriter, r *http.Request) {\n   149→\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n   150→\t\tcclog.Debugf(\"##%v##\", info)\n   151→\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{Title: \"Login\", Build: buildInfo, Infos: info})\n   152→\t})\n   153→\ts.router.HandleFunc(\"/imprint\", func(rw http.ResponseWriter, r *http.Request) {\n   154→\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n   155→\t\tweb.RenderTemplate(rw, \"imprint.tmpl\", &web.Page{Title: \"Imprint\", Build: buildInfo})\n   156→\t})\n   157→\ts.router.HandleFunc(\"/privacy\", func(rw http.ResponseWriter, r *http.Request) {\n   158→\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n   159→\t\tweb.RenderTemplate(rw, \"privacy.tmpl\", &web.Page{Title: \"Privacy\", Build: buildInfo})\n   160→\t})\n   161→\n   162→\tif !config.Keys.DisableAuthentication {\n   163→\t\t// Create login failure handler (used by both /login and /jwt-login)\n   164→\t\tloginFailureHandler := func(rw http.ResponseWriter, r *http.Request, err error) {\n   165→\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n   166→\t\t\trw.WriteHeader(http.StatusUnauthorized)\n   167→\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n   168→\t\t\t\tTitle:   \"Login failed - ClusterCockpit\",\n   169→\t\t\t\tMsgType: \"alert-warning\",\n   170→\t\t\t\tMessage: err.Error(),\n   171→\t\t\t\tBuild:   buildInfo,\n   172→\t\t\t\tInfos:   info,\n   173→\t\t\t})\n   174→\t\t}\n   175→\n   176→\t\ts.router.Post(\"/login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n   177→\t\ts.router.HandleFunc(\"/jwt-login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n   178→\n   179→\t\ts.router.Post(\"/logout\", authHandle.Logout(\n   180→\t\t\thttp.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n   181→\t\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n   182→\t\t\t\trw.WriteHeader(http.StatusOK)\n   183→\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n   184→\t\t\t\t\tTitle:   \"Bye - ClusterCockpit\",\n   185→\t\t\t\t\tMsgType: \"alert-info\",\n   186→\t\t\t\t\tMessage: \"Logout successful\",\n   187→\t\t\t\t\tBuild:   buildInfo,\n   188→\t\t\t\t\tInfos:   info,\n   189→\t\t\t\t})\n   190→\t\t\t})).ServeHTTP)\n   191→\t}\n   192→\n   193→\tif flagDev {\n   194→\t\ts.router.Handle(\"/playground\", playground.Handler(\"GraphQL playground\", \"/query\"))\n   195→\t\ts.router.Get(\"/swagger/*\", httpSwagger.Handler(\n   196→\t\t\thttpSwagger.URL(\"http://\"+config.Keys.Addr+\"/swagger/doc.json\")))\n   197→\t}\n   198→\n   199→\t// Secured routes (require authentication)\n   200→\ts.router.Group(func(secured chi.Router) {\n   201→\t\tif !config.Keys.DisableAuthentication {\n   202→\t\t\tsecured.Use(func(next http.Handler) http.Handler {\n   203→\t\t\t\treturn authHandle.Auth(\n   204→\t\t\t\t\tnext,\n   205→\t\t\t\t\tfunc(rw http.ResponseWriter, r *http.Request, err error) {\n   206→\t\t\t\t\t\trw.WriteHeader(http.StatusUnauthorized)\n   207→\t\t\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n   208→\t\t\t\t\t\t\tTitle:    \"Authentication failed - ClusterCockpit\",\n   209→\t\t\t\t\t\t\tMsgType:  \"alert-danger\",\n   210→\t\t\t\t\t\t\tMessage:  err.Error(),\n   211→\t\t\t\t\t\t\tBuild:    buildInfo,\n   212→\t\t\t\t\t\t\tInfos:    info,\n   213→\t\t\t\t\t\t\tRedirect: r.RequestURI,\n   214→\t\t\t\t\t\t})\n   215→\t\t\t\t\t})\n   216→\t\t\t})\n   217→\t\t}\n   218→\n   219→\t\tsecured.Handle(\"/query\", graphQLServer)\n   220→\n   221→\t\tsecured.HandleFunc(\"/search\", func(rw http.ResponseWriter, r *http.Request) {\n   222→\t\t\trouterConfig.HandleSearchBar(rw, r, buildInfo)\n   223→\t\t})\n   224→\n   225→\t\trouterConfig.SetupRoutes(secured, buildInfo)\n   226→\t})\n   227→\n   228→\t// API routes (JWT token auth)\n   229→\ts.router.Route(\"/api\", func(apiRouter chi.Router) {\n   230→\t\t// Main API routes with API auth\n   231→\t\tapiRouter.Group(func(securedapi chi.Router) {\n   232→\t\t\tif !config.Keys.DisableAuthentication {\n   233→\t\t\t\tsecuredapi.Use(func(next http.Handler) http.Handler {\n   234→\t\t\t\t\treturn authHandle.AuthAPI(next, onFailureResponse)\n   235→\t\t\t\t})\n   236→\t\t\t}\n   237→\t\t\ts.restAPIHandle.MountAPIRoutes(securedapi)\n   238→\t\t})\n   239→\n   240→\t\t// Metric store API routes with separate auth\n   241→\t\tapiRouter.Group(func(metricstoreapi chi.Router) {\n   242→\t\t\tif !config.Keys.DisableAuthentication {\n   243→\t\t\t\tmetricstoreapi.Use(func(next http.Handler) http.Handler {\n   244→\t\t\t\t\treturn authHandle.AuthMetricStoreAPI(next, onFailureResponse)\n   245→\t\t\t\t})\n   246→\t\t\t}\n   247→\t\t\ts.restAPIHandle.MountMetricStoreAPIRoutes(metricstoreapi)\n   248→\t\t})\n   249→\t})\n   250→\n   251→\t// User API routes\n   252→\ts.router.Route(\"/userapi\", func(userapi chi.Router) {\n   253→\t\tif !config.Keys.DisableAuthentication {\n   254→\t\t\tuserapi.Use(func(next http.Handler) http.Handler {\n   255→\t\t\t\treturn authHandle.AuthUserAPI(next, onFailureResponse)\n   256→\t\t\t})\n   257→\t\t}\n   258→\t\ts.restAPIHandle.MountUserAPIRoutes(userapi)\n   259→\t})\n   260→\n   261→\t// Config API routes (uses Group with full paths to avoid shadowing\n   262→\t// the /config page route that is registered in the secured group)\n   263→\ts.router.Group(func(configapi chi.Router) {\n   264→\t\tif !config.Keys.DisableAuthentication {\n   265→\t\t\tconfigapi.Use(func(next http.Handler) http.Handler {\n   266→\t\t\t\treturn authHandle.AuthConfigAPI(next, onFailureResponse)\n   267→\t\t\t})\n   268→\t\t}\n   269→\t\ts.restAPIHandle.MountConfigAPIRoutes(configapi)\n   270→\t})\n   271→\n   272→\t// Frontend API routes\n   273→\ts.router.Route(\"/frontend\", func(frontendapi chi.Router) {\n   274→\t\tif !config.Keys.DisableAuthentication {\n   275→\t\t\tfrontendapi.Use(func(next http.Handler) http.Handler {\n   276→\t\t\t\treturn authHandle.AuthFrontendAPI(next, onFailureResponse)\n   277→\t\t\t})\n   278→\t\t}\n   279→\t\ts.restAPIHandle.MountFrontendAPIRoutes(frontendapi)\n   280→\t})\n   281→\n   282→\tif config.Keys.APISubjects != nil {\n   283→\t\ts.natsAPIHandle = api.NewNatsAPI()\n   284→\t\tif err := s.natsAPIHandle.StartSubscriptions(); err != nil {\n   285→\t\t\treturn fmt.Errorf(\"starting NATS subscriptions: %w\", err)\n   286→\t\t}\n   287→\t}\n   288→\n   289→\t// 404 handler for pages and API routes\n   290→\tnotFoundHandler := func(rw http.ResponseWriter, r *http.Request) {\n   291→\t\tif strings.HasPrefix(r.URL.Path, \"/api/\") || strings.HasPrefix(r.URL.Path, \"/userapi/\") ||\n   292→\t\t\tstrings.HasPrefix(r.URL.Path, \"/frontend/\") || strings.HasPrefix(r.URL.Path, \"/config/\") {\n   293→\t\t\trw.Header().Set(\"Content-Type\", \"application/json\")\n   294→\t\t\trw.WriteHeader(http.StatusNotFound)\n   295→\t\t\tjson.NewEncoder(rw).Encode(map[string]string{\n   296→\t\t\t\t\"status\": \"Resource not found\",\n   297→\t\t\t\t\"error\":  \"the requested endpoint does not exist\",\n   298→\t\t\t})\n   299→\t\t\treturn\n   300→\t\t}\n   301→\t\trw.Header().Set(\"Content-Type\", \"text/html; charset=utf-8\")\n   302→\t\trw.WriteHeader(http.StatusNotFound)\n   303→\t\tweb.RenderTemplate(rw, \"404.tmpl\", &web.Page{\n   304→\t\t\tTitle: \"Page Not Found\",\n   305→\t\t\tBuild: buildInfo,\n   306→\t\t})\n   307→\t}\n   308→\n   309→\t// Set NotFound on the router so chi uses it for all unmatched routes,\n   310→\t// including those under subrouters like /api, /userapi, /frontend, etc.\n   311→\ts.router.NotFound(notFoundHandler)\n   312→\n   313→\tif config.Keys.EmbedStaticFiles {\n   314→\t\tif i, err := os.Stat(\"./var/img\"); err == nil {\n   315→\t\t\tif i.IsDir() {\n   316→\t\t\t\tcclog.Info(\"Use local directory for static images\")\n   317→\t\t\t\ts.router.Handle(\"/img/*\", http.StripPrefix(\"/img/\", http.FileServer(http.Dir(\"./var/img\"))))\n   318→\t\t\t}\n   319→\t\t}\n   320→\t\tfileServer := http.StripPrefix(\"/\", web.ServeFiles())\n   321→\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n   322→\t\t\tif web.StaticFileExists(r.URL.Path) {\n   323→\t\t\t\tfileServer.ServeHTTP(rw, r)\n   324→\t\t\t\treturn\n   325→\t\t\t}\n   326→\t\t\tnotFoundHandler(rw, r)\n   327→\t\t}))\n   328→\t} else {\n   329→\t\tstaticDir := http.Dir(config.Keys.StaticFiles)\n   330→\t\tfileServer := http.FileServer(staticDir)\n   331→\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n   332→\t\t\tf, err := staticDir.Open(r.URL.Path)\n   333→\t\t\tif err == nil {\n   334→\t\t\t\tf.Close()\n   335→\t\t\t\tfileServer.ServeHTTP(rw, r)\n   336→\t\t\t\treturn\n   337→\t\t\t}\n   338→\t\t\tnotFoundHandler(rw, r)\n   339→\t\t}))\n   340→\t}\n   341→\n   342→\treturn nil\n   343→}\n   344→\n   345→// Server timeout defaults (in seconds)\n   346→const (\n   347→\tdefaultReadTimeout  = 20\n   348→\tdefaultWriteTimeout = 20\n   349→)\n   350→\n   351→func (s *Server) Start(ctx context.Context) error {\n   352→\t// Use configurable timeouts with defaults\n   353→\treadTimeout := time.Duration(defaultReadTimeout) * time.Second\n   354→\twriteTimeout := time.Duration(defaultWriteTimeout) * time.Second\n   355→\n   356→\ts.server = &http.Server{\n   357→\t\tReadTimeout:  readTimeout,\n   358→\t\tWriteTimeout: writeTimeout,\n   359→\t\tHandler:      s.router,\n   360→\t\tAddr:         config.Keys.Addr,\n   361→\t}\n   362→\n   363→\t// Start http or https server\n   364→\tlistener, err := net.Listen(\"tcp\", config.Keys.Addr)\n   365→\tif err != nil {\n   366→\t\treturn fmt.Errorf(\"starting listener on '%s': %w\", config.Keys.Addr, err)\n   367→\t}\n   368→\n   369→\tif !strings.HasSuffix(config.Keys.Addr, \":80\") && config.Keys.RedirectHTTPTo != \"\" {\n   370→\t\tgo func() {\n   371→\t\t\thttp.ListenAndServe(\":80\", http.RedirectHandler(config.Keys.RedirectHTTPTo, http.StatusMovedPermanently))\n   372→\t\t}()\n   373→\t}\n   374→\n   375→\tif config.Keys.HTTPSCertFile != \"\" && config.Keys.HTTPSKeyFile != \"\" {\n   376→\t\tcert, err := tls.LoadX509KeyPair(\n   377→\t\t\tconfig.Keys.HTTPSCertFile, config.Keys.HTTPSKeyFile)\n   378→\t\tif err != nil {\n   379→\t\t\treturn fmt.Errorf(\"loading X509 keypair (check 'https-cert-file' and 'https-key-file' in config.json): %w\", err)\n   380→\t\t}\n   381→\t\tlistener = tls.NewListener(listener, &tls.Config{\n   382→\t\t\tCertificates: []tls.Certificate{cert},\n   383→\t\t\tCipherSuites: []uint16{\n   384→\t\t\t\ttls.TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256,\n   385→\t\t\t\ttls.TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256,\n   386→\t\t\t},\n   387→\t\t\tMinVersion:               tls.VersionTLS12,\n   388→\t\t\tPreferServerCipherSuites: true,\n   389→\t\t})\n   390→\t\tcclog.Infof(\"HTTPS server listening at %s...\", config.Keys.Addr)\n   391→\t} else {\n   392→\t\tcclog.Infof(\"HTTP server listening at %s...\", config.Keys.Addr)\n   393→\t}\n   394→\t//\n   395→\t// Because this program will want to bind to a privileged port (like 80), the listener must\n   396→\t// be established first, then the user can be changed, and after that,\n   397→\t// the actual http server can be started.\n   398→\tif err := runtime.DropPrivileges(config.Keys.Group, config.Keys.User); err != nil {\n   399→\t\treturn fmt.Errorf(\"dropping privileges: %w\", err)\n   400→\t}\n   401→\n   402→\t// Handle context cancellation for graceful shutdown\n   403→\tgo func() {\n   404→\t\t<-ctx.Done()\n   405→\t\tshutdownCtx, cancel := context.WithTimeout(context.Background(), 30*time.Second)\n   406→\t\tdefer cancel()\n   407→\t\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n   408→\t\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n   409→\t\t}\n   410→\t}()\n   411→\n   412→\tif err = s.server.Serve(listener); err != nil && err != http.ErrServerClosed {\n   413→\t\treturn fmt.Errorf(\"server failed: %w\", err)\n   414→\t}\n   415→\treturn nil\n   416→}\n   417→\n   418→func (s *Server) Shutdown(ctx context.Context) {\n   419→\t// Create a shutdown context with timeout\n   420→\tshutdownCtx, cancel := context.WithTimeout(ctx, 30*time.Second)\n   421→\tdefer cancel()\n   422→\n   423→\tnc := nats.GetClient()\n   424→\tif nc != nil {\n   425→\t\tnc.Close()\n   426→\t}\n   427→\n   428→\t// First shut down the server gracefully (waiting for all ongoing requests)\n   429→\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n   430→\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n   431→\t}\n   432→\n   433→\t// Archive all the metric store data\n   434→\tms := metricstore.GetMemoryStore()\n   435→\n   436→\tif ms != nil {\n   437→\t\tmetricstore.Shutdown()\n   438→\t}\n   439→\n   440→\t// Shutdown archiver with 10 second timeout for fast shutdown\n   441→\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n   442→\t\tcclog.Warnf(\"Archiver shutdown: %v\", err)\n   443→\t}\n   444→}\n   445→"}]},"uuid":"7b6c56ec-39d9-4a50-88ed-3b62f3e9c091","timestamp":"2026-03-16T10:18:50.958Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"20c14204-0590-4339-9d5b-3a776c10857e","timestamp":"2026-03-16T10:18:51.005Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"5a11fcda-fbc0-4d2a-b438-24bfece03046","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EYSQna5UcVakBUY28WzWCZ","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"bufio\"\n    10→\t\"database/sql\"\n    11→\t\"encoding/json\"\n    12→\t\"errors\"\n    13→\t\"fmt\"\n    14→\t\"net/http\"\n    15→\t\"strconv\"\n    16→\t\"strings\"\n    17→\t\"sync\"\n    18→\t\"time\"\n    19→\n    20→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    21→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    22→\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n    23→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    24→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n    25→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    26→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    27→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    28→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    29→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    30→\t\"github.com/go-chi/chi/v5\"\n    31→)\n    32→\n    33→const (\n    34→\t// secondsPerDay is the number of seconds in 24 hours.\n    35→\t// Used for duplicate job detection within a day window.\n    36→\tsecondsPerDay = 86400\n    37→)\n    38→\n    39→// StopJobAPIRequest model\n    40→type StopJobAPIRequest struct {\n    41→\tJobID     *int64          `json:\"jobId\" example:\"123000\"`\n    42→\tCluster   *string         `json:\"cluster\" example:\"fritz\"`\n    43→\tStartTime *int64          `json:\"startTime\" example:\"1649723812\"`\n    44→\tState     schema.JobState `json:\"jobState\" validate:\"required\" example:\"completed\"`\n    45→\tStopTime  int64           `json:\"stopTime\" validate:\"required\" example:\"1649763839\"`\n    46→}\n    47→\n    48→// DeleteJobAPIRequest model\n    49→type DeleteJobAPIRequest struct {\n    50→\tJobID     *int64  `json:\"jobId\" validate:\"required\" example:\"123000\"` // Cluster Job ID of job\n    51→\tCluster   *string `json:\"cluster\" example:\"fritz\"`                    // Cluster of job\n    52→\tStartTime *int64  `json:\"startTime\" example:\"1649723812\"`             // Start Time of job as epoch\n    53→}\n    54→\n    55→// GetJobsAPIResponse model\n    56→type GetJobsAPIResponse struct {\n    57→\tJobs  []*schema.Job `json:\"jobs\"`  // Array of jobs\n    58→\tItems int           `json:\"items\"` // Number of jobs returned\n    59→\tPage  int           `json:\"page\"`  // Page id returned\n    60→}\n    61→\n    62→// APITag model\n    63→type APITag struct {\n    64→\t// Tag Type\n    65→\tType  string `json:\"type\" example:\"Debug\"`\n    66→\tName  string `json:\"name\" example:\"Testjob\"` // Tag Name\n    67→\tScope string `json:\"scope\" example:\"global\"` // Tag Scope for Frontend Display\n    68→}\n    69→\n    70→type EditMetaRequest struct {\n    71→\tKey   string `json:\"key\" example:\"jobScript\"`\n    72→\tValue string `json:\"value\" example:\"bash script\"`\n    73→}\n    74→\n    75→// JobMetaRequest model\n    76→type JobMetaRequest struct {\n    77→\tJobId     *int64          `json:\"jobId\" validate:\"required\" example:\"123000\"` // Cluster Job ID of job\n    78→\tCluster   *string         `json:\"cluster\" example:\"fritz\"`                    // Cluster of job\n    79→\tStartTime *int64          `json:\"startTime\" example:\"1649723812\"`             // Start Time of job as epoch\n    80→\tPayload   EditMetaRequest `json:\"payload\"`                                    // Content to Add to Job Meta_Data\n    81→}\n    82→\n    83→type TagJobAPIRequest []*APITag\n    84→\n    85→type GetJobAPIRequest []string\n    86→\n    87→type GetJobAPIResponse struct {\n    88→\tMeta *schema.Job\n    89→\tData []*JobMetricWithName\n    90→}\n    91→\n    92→type GetCompleteJobAPIResponse struct {\n    93→\tMeta *schema.Job\n    94→\tData schema.JobData\n    95→}\n    96→\n    97→type JobMetricWithName struct {\n    98→\tMetric *schema.JobMetric  `json:\"metric\"`\n    99→\tName   string             `json:\"name\"`\n   100→\tScope  schema.MetricScope `json:\"scope\"`\n   101→}\n   102→\n   103→// getJobs godoc\n   104→// @summary     Lists all jobs\n   105→// @tags Job query\n   106→// @description Get a list of all jobs. Filters can be applied using query parameters.\n   107→// @description Number of results can be limited by page. Results are sorted by descending startTime.\n   108→// @produce     json\n   109→// @param       state          query    string            false \"Job State\" Enums(running, completed, failed, cancelled, stopped, timeout)\n   110→// @param       cluster        query    string            false \"Job Cluster\"\n   111→// @param       start-time     query    string            false \"Syntax: '$from-$to', as unix epoch timestamps in seconds\"\n   112→// @param       items-per-page query    int               false \"Items per page (Default: 25)\"\n   113→// @param       page           query    int               false \"Page Number (Default: 1)\"\n   114→// @param       with-metadata  query    bool              false \"Include metadata (e.g. jobScript) in response\"\n   115→// @success     200            {object} api.GetJobsAPIResponse  \"Job array and page info\"\n   116→// @failure     400            {object} api.ErrorResponse       \"Bad Request\"\n   117→// @failure     401   \t\t   {object} api.ErrorResponse       \"Unauthorized\"\n   118→// @failure     403            {object} api.ErrorResponse       \"Forbidden\"\n   119→// @failure     500            {object} api.ErrorResponse       \"Internal Server Error\"\n   120→// @security    ApiKeyAuth\n   121→// @router      /api/jobs/ [get]\n   122→func (api *RestAPI) getJobs(rw http.ResponseWriter, r *http.Request) {\n   123→\twithMetadata := false\n   124→\tfilter := &model.JobFilter{}\n   125→\tpage := &model.PageRequest{ItemsPerPage: 25, Page: 1}\n   126→\torder := &model.OrderByInput{Field: \"startTime\", Type: \"col\", Order: model.SortDirectionEnumDesc}\n   127→\n   128→\tfor key, vals := range r.URL.Query() {\n   129→\t\tswitch key {\n   130→\t\tcase \"project\":\n   131→\t\t\tfilter.Project = &model.StringInput{Eq: &vals[0]}\n   132→\t\tcase \"state\":\n   133→\t\t\tfor _, s := range vals {\n   134→\t\t\t\tstate := schema.JobState(s)\n   135→\t\t\t\tif !state.Valid() {\n   136→\t\t\t\t\thandleError(fmt.Errorf(\"invalid query parameter value: state\"),\n   137→\t\t\t\t\t\thttp.StatusBadRequest, rw)\n   138→\t\t\t\t\treturn\n   139→\t\t\t\t}\n   140→\t\t\t\tfilter.State = append(filter.State, state)\n   141→\t\t\t}\n   142→\t\tcase \"cluster\":\n   143→\t\t\tfilter.Cluster = &model.StringInput{Eq: &vals[0]}\n   144→\t\tcase \"start-time\": // ?startTime=1753707480-1754053139\n   145→\t\t\tst := strings.Split(vals[0], \"-\")\n   146→\t\t\tif len(st) != 2 {\n   147→\t\t\t\thandleError(fmt.Errorf(\"invalid query parameter value: startTime\"),\n   148→\t\t\t\t\thttp.StatusBadRequest, rw)\n   149→\t\t\t\treturn\n   150→\t\t\t}\n   151→\t\t\tfrom, err := strconv.ParseInt(st[0], 10, 64)\n   152→\t\t\tif err != nil {\n   153→\t\t\t\thandleError(err, http.StatusBadRequest, rw)\n   154→\t\t\t\treturn\n   155→\t\t\t}\n   156→\t\t\tto, err := strconv.ParseInt(st[1], 10, 64)\n   157→\t\t\tif err != nil {\n   158→\t\t\t\thandleError(err, http.StatusBadRequest, rw)\n   159→\t\t\t\treturn\n   160→\t\t\t}\n   161→\t\t\tufrom, uto := time.Unix(from, 0), time.Unix(to, 0)\n   162→\t\t\tfilter.StartTime = &config.TimeRange{From: &ufrom, To: &uto}\n   163→\t\tcase \"page\":\n   164→\t\t\tx, err := strconv.Atoi(vals[0])\n   165→\t\t\tif err != nil {\n   166→\t\t\t\thandleError(err, http.StatusBadRequest, rw)\n   167→\t\t\t\treturn\n   168→\t\t\t}\n   169→\t\t\tpage.Page = x\n   170→\t\tcase \"items-per-page\":\n   171→\t\t\tx, err := strconv.Atoi(vals[0])\n   172→\t\t\tif err != nil {\n   173→\t\t\t\thandleError(err, http.StatusBadRequest, rw)\n   174→\t\t\t\treturn\n   175→\t\t\t}\n   176→\t\t\tpage.ItemsPerPage = x\n   177→\t\tcase \"with-metadata\":\n   178→\t\t\twithMetadata = true\n   179→\t\tdefault:\n   180→\t\t\thandleError(fmt.Errorf(\"invalid query parameter: %s\", key),\n   181→\t\t\t\thttp.StatusBadRequest, rw)\n   182→\t\t\treturn\n   183→\t\t}\n   184→\t}\n   185→\n   186→\tjobs, err := api.JobRepository.QueryJobs(r.Context(), []*model.JobFilter{filter}, page, order)\n   187→\tif err != nil {\n   188→\t\thandleError(err, http.StatusInternalServerError, rw)\n   189→\t\treturn\n   190→\t}\n   191→\n   192→\tresults := make([]*schema.Job, 0, len(jobs))\n   193→\tfor _, job := range jobs {\n   194→\t\tif withMetadata {\n   195→\t\t\tif _, err = api.JobRepository.FetchMetadata(job); err != nil {\n   196→\t\t\t\thandleError(err, http.StatusInternalServerError, rw)\n   197→\t\t\t\treturn\n   198→\t\t\t}\n   199→\t\t}\n   200→"}]},"uuid":"8fa28d9a-01e0-42a6-90c9-b57102ff1253","timestamp":"2026-03-16T10:18:51.830Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"06455334-fd48-4615-b71c-7833878dbe31","timestamp":"2026-03-16T10:18:52.270Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"06455334-fd48-4615-b71c-7833878dbe31","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:52.307Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_014RpU7fRmzbTvy6u5LUG6sy","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0138fSPJx1XBMMc57JEsMKjS","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","limit":300},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":32692,"cache_read_input_tokens":42461,"cache_creation":{"ephemeral_5m_input_tokens":32692,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6uZ2XXuQVqpSoyuCh","uuid":"09122b3a-f95b-4190-800f-1261e69713f0"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"034bec39-c50a-4c61-af67-9340a163e069","timestamp":"2026-03-16T10:18:52.307Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"034bec39-c50a-4c61-af67-9340a163e069","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0138fSPJx1XBMMc57JEsMKjS","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"database/sql\"\n    10→\t\"encoding/json\"\n    11→\t\"strings\"\n    12→\t\"sync\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n    21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n    23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    24→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n    25→)\n    26→\n    27→// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n    28→// It mirrors the functionality of the REST API but uses NATS messaging with\n    29→// InfluxDB line protocol as the message format.\n    30→//\n    31→// # Message Format\n    32→//\n    33→// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n    34→// with the following structure:\n    35→//\n    36→//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n    37→//\n    38→// # Job Events\n    39→//\n    40→// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n    41→//\n    42→//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n    43→//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n    44→//\n    45→// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n    46→//\n    47→// Example job start message:\n    48→//\n    49→//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n    50→//\n    51→// # Node State Events\n    52→//\n    53→// Node state updates use the \"nodestate\" measurement with cluster information:\n    54→//\n    55→//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n    56→//\n    57→// The JSON payload follows the UpdateNodeStatesRequest structure.\n    58→//\n    59→// Example node state message:\n    60→//\n    61→//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\n    62→type NatsAPI struct {\n    63→\tJobRepository *repository.JobRepository\n    64→\t// RepositoryMutex protects job creation operations from race conditions\n    65→\t// when checking for duplicate jobs during startJob calls.\n    66→\tRepositoryMutex sync.Mutex\n    67→\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n    68→\t// when the database is under contention.\n    69→\tjobSem chan struct{}\n    70→\t// nodeSem limits concurrent NATS node state processing.\n    71→\tnodeSem chan struct{}\n    72→}\n    73→\n    74→// NewNatsAPI creates a new NatsAPI instance with default dependencies.\n    75→func NewNatsAPI() *NatsAPI {\n    76→\treturn &NatsAPI{\n    77→\t\tJobRepository: repository.GetJobRepository(),\n    78→\t\tjobSem:        make(chan struct{}, 8),\n    79→\t\tnodeSem:       make(chan struct{}, 2),\n    80→\t}\n    81→}\n    82→\n    83→// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n    84→// Returns an error if the NATS client is not available or subscription fails.\n    85→func (api *NatsAPI) StartSubscriptions() error {\n    86→\tclient := nats.GetClient()\n    87→\tif client == nil {\n    88→\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n    89→\t\treturn nil\n    90→\t}\n    91→\n    92→\tif config.Keys.APISubjects != nil {\n    93→\n    94→\t\ts := config.Keys.APISubjects\n    95→\n    96→\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n    97→\t\t\treturn err\n    98→\t\t}\n    99→\n   100→\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n   101→\t\t\treturn err\n   102→\t\t}\n   103→\n   104→\t\tcclog.Info(\"NATS API subscriptions started\")\n   105→\t}\n   106→\treturn nil\n   107→}\n   108→\n   109→// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n   110→// Validates that required tags and fields are present before processing.\n   111→func (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n   112→\tfunction, ok := msg.GetTag(\"function\")\n   113→\tif !ok {\n   114→\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n   115→\t\treturn\n   116→\t}\n   117→\n   118→\tswitch function {\n   119→\tcase \"start_job\":\n   120→\t\tv, ok := msg.GetEventValue()\n   121→\t\tif !ok {\n   122→\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n   123→\t\t\treturn\n   124→\t\t}\n   125→\t\tapi.handleStartJob(v)\n   126→\n   127→\tcase \"stop_job\":\n   128→\t\tv, ok := msg.GetEventValue()\n   129→\t\tif !ok {\n   130→\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n   131→\t\t\treturn\n   132→\t\t}\n   133→\t\tapi.handleStopJob(v)\n   134→\n   135→\tdefault:\n   136→\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n   137→\t}\n   138→}\n   139→\n   140→// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n   141→// The message must be in line protocol format with measurement=\"job\" and include:\n   142→//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n   143→//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n   144→//\n   145→// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\n   146→func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n   147→\tapi.jobSem <- struct{}{}\n   148→\tdefer func() { <-api.jobSem }()\n   149→\n   150→\tif len(data) == 0 {\n   151→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n   152→\t\treturn\n   153→\t}\n   154→\n   155→\td := influx.NewDecoderWithBytes(data)\n   156→\n   157→\tfor d.Next() {\n   158→\t\tm, err := receivers.DecodeInfluxMessage(d)\n   159→\t\tif err != nil {\n   160→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n   161→\t\t\treturn\n   162→\t\t}\n   163→\n   164→\t\tif !m.IsEvent() {\n   165→\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n   166→\t\t\tcontinue\n   167→\t\t}\n   168→\n   169→\t\tif m.Name() == \"job\" {\n   170→\t\t\tapi.processJobEvent(m)\n   171→\t\t} else {\n   172→\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n   173→\t\t}\n   174→\t}\n   175→}\n   176→\n   177→// handleStartJob processes job start messages received via NATS.\n   178→// The payload parameter contains JSON following the schema.Job structure.\n   179→// Jobs are validated, checked for duplicates, and inserted into the database.\n   180→func (api *NatsAPI) handleStartJob(payload string) {\n   181→\tif payload == \"\" {\n   182→\t\tcclog.Error(\"NATS start job: payload is empty\")\n   183→\t\treturn\n   184→\t}\n   185→\treq := schema.Job{\n   186→\t\tShared:           \"none\",\n   187→\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n   188→\t}\n   189→\n   190→\tdec := json.NewDecoder(strings.NewReader(payload))\n   191→\tdec.DisallowUnknownFields()\n   192→\tif err := dec.Decode(&req); err != nil {\n   193→\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n   194→\t\treturn\n   195→\t}\n   196→\n   197→\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n   198→\treq.State = schema.JobStateRunning\n   199→\n   200→\tif err := importer.SanityChecks(&req); err != nil {\n   201→\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n   202→\t\treturn\n   203→\t}\n   204→\n   205→\tvar unlockOnce sync.Once\n   206→\tapi.RepositoryMutex.Lock()\n   207→\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n   208→\n   209→\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n   210→\tif err != nil && err != sql.ErrNoRows {\n   211→\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n   212→\t\treturn\n   213→\t}\n   214→\tif err == nil {\n   215→\t\tfor _, job := range jobs {\n   216→\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n   217→\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n   218→\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n   219→\t\t\t\treturn\n   220→\t\t\t}\n   221→\t\t}\n   222→\t}\n   223→\n   224→\t// When tags are present, insert directly into the job table so that the\n   225→\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n   226→\tvar id int64\n   227→\tif len(req.Tags) > 0 {\n   228→\t\tid, err = api.JobRepository.StartDirect(&req)\n   229→\t} else {\n   230→\t\tid, err = api.JobRepository.Start(&req)\n   231→\t}\n   232→\tif err != nil {\n   233→\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n   234→\t\treturn\n   235→\t}\n   236→\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n   237→\n   238→\tfor _, tag := range req.Tags {\n   239→\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n   240→\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n   241→\t\t\treturn\n   242→\t\t}\n   243→\t}\n   244→\n   245→\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n   246→\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n   247→}\n   248→\n   249→// handleStopJob processes job stop messages received via NATS.\n   250→// The payload parameter contains JSON following the StopJobAPIRequest structure.\n   251→// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\n   252→func (api *NatsAPI) handleStopJob(payload string) {\n   253→\tif payload == \"\" {\n   254→\t\tcclog.Error(\"NATS stop job: payload is empty\")\n   255→\t\treturn\n   256→\t}\n   257→\tvar req StopJobAPIRequest\n   258→\n   259→\tdec := json.NewDecoder(strings.NewReader(payload))\n   260→\tdec.DisallowUnknownFields()\n   261→\tif err := dec.Decode(&req); err != nil {\n   262→\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n   263→\t\treturn\n   264→\t}\n   265→\n   266→\tif req.JobID == nil {\n   267→\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n   268→\t\treturn\n   269→\t}\n   270→\n   271→\tisCached := false\n   272→\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n   273→\tif err != nil {\n   274→\t\t// Not in cache, try main job table\n   275→\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n   276→\t\tif err != nil {\n   277→\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n   278→\t\t\treturn\n   279→\t\t}\n   280→\t} else {\n   281→\t\tisCached = true\n   282→\t}\n   283→\n   284→\tif job.State != schema.JobStateRunning {\n   285→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n   286→\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n   287→\t\treturn\n   288→\t}\n   289→\n   290→\tif job.StartTime > req.StopTime {\n   291→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n   292→\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n   293→\t\treturn\n   294→\t}\n   295→\n   296→\tif req.State != \"\" && !req.State.Valid() {\n   297→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n   298→\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n   299→\t\treturn\n   300→\t} else if req.State == \"\" {"}]},"uuid":"68f92ccf-dcd2-44c7-ae0c-9cc92fa16a31","timestamp":"2026-03-16T10:18:52.312Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"e7c52f97-a672-42e1-b458-852a45a55359","timestamp":"2026-03-16T10:18:52.484Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"e7c52f97-a672-42e1-b458-852a45a55359","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:52.499Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_014RpU7fRmzbTvy6u5LUG6sy","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FrMUW3tZPqHat9qa6eqbpH","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go","limit":200},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":32692,"cache_read_input_tokens":42461,"cache_creation":{"ephemeral_5m_input_tokens":32692,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6uZ2XXuQVqpSoyuCh","uuid":"6666959d-9375-46e4-adf2-6f6b7fa0f062"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"c970c9a1-3efa-4cc4-ab9b-477603861792","timestamp":"2026-03-16T10:18:52.499Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"c970c9a1-3efa-4cc4-ab9b-477603861792","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:52.611Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01FswytQvCqoFYSU3AmH6q5f","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Hv1yuvYBP6YWQkJoztcfGA","name":"Glob","input":{"pattern":"**/internal/repository/*.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":3935,"cache_read_input_tokens":13439,"cache_creation":{"ephemeral_5m_input_tokens":3935,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b72dB5f1EUEvnwKueu","uuid":"3c730341-fccc-48d2-90e1-5930af07d7e4"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"de9b01d3-2e31-411a-938e-0c99c9204886","timestamp":"2026-03-16T10:18:52.612Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"de9b01d3-2e31-411a-938e-0c99c9204886","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:52.697Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_018BvSFRrKwvkCJRXsXqyqUE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GVe7iDsxjAWTtf2dJJLYMn","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/commitJobService.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":9364,"cache_read_input_tokens":19050,"cache_creation":{"ephemeral_5m_input_tokens":9364,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6ztkQgkP8T8PDj2ki","uuid":"8b56c79f-de9a-4d8a-a5d0-0c28725410d9"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"16f0a124-a349-43c9-b827-a995fb5d376e","timestamp":"2026-03-16T10:18:52.697Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"16f0a124-a349-43c9-b827-a995fb5d376e","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GVe7iDsxjAWTtf2dJJLYMn","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"time\"\n    10→\n    11→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    13→\t\"github.com/go-co-op/gocron/v2\"\n    14→)\n    15→\n    16→func RegisterCommitJobService() {\n    17→\tvar frequency string\n    18→\tif Keys.CommitJobWorker != \"\" {\n    19→\t\tfrequency = Keys.CommitJobWorker\n    20→\t} else {\n    21→\t\tfrequency = \"2m\"\n    22→\t}\n    23→\n    24→\td, err := parseDuration(frequency)\n    25→\tif err != nil {\n    26→\t\tcclog.Errorf(\"RegisterCommitJobService: %v\", err)\n    27→\t\treturn\n    28→\t}\n    29→\n    30→\tcclog.Infof(\"register commitJob service with %s interval\", frequency)\n    31→\n    32→\ts.NewJob(gocron.DurationJob(d),\n    33→\t\tgocron.NewTask(\n    34→\t\t\tfunc() {\n    35→\t\t\t\tstart := time.Now()\n    36→\t\t\t\tcclog.Debugf(\"jobcache sync started at %s\\n\", start.Format(time.RFC3339))\n    37→\t\t\t\tjobs, _ := jobRepo.SyncJobs()\n    38→\t\t\t\trepository.CallJobStartHooks(jobs)\n    39→\t\t\t\tcclog.Debugf(\"jobcache sync and job callbacks are done and took %s\\n\", time.Since(start))\n    40→\t\t\t}))\n    41→}\n    42→"}]},"uuid":"ad4207db-30ea-473c-9763-0b212db62b2f","timestamp":"2026-03-16T10:18:52.699Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"f7507017-4225-4c02-979d-0ff1692fe91c","timestamp":"2026-03-16T10:18:52.699Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"f7507017-4225-4c02-979d-0ff1692fe91c","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FrMUW3tZPqHat9qa6eqbpH","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"fmt\"\n    10→\t\"maps\"\n    11→\t\"net/http\"\n    12→\t\"strings\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→)\n    22→\n    23→type UpdateNodeStatesRequest struct {\n    24→\tNodes   []schema.NodePayload `json:\"nodes\"`\n    25→\tCluster string               `json:\"cluster\" example:\"fritz\"`\n    26→}\n    27→\n    28→// metricListToNames converts a map of metric configurations to a list of metric names\n    29→func metricListToNames(metricList map[string]*schema.Metric) []string {\n    30→\tnames := make([]string, 0, len(metricList))\n    31→\tfor name := range metricList {\n    32→\t\tnames = append(names, name)\n    33→\t}\n    34→\treturn names\n    35→}\n    36→\n    37→// this routine assumes that only one of them exists per node\n    38→func determineState(states []string) schema.SchedulerState {\n    39→\tfor _, state := range states {\n    40→\t\tswitch strings.ToLower(state) {\n    41→\t\tcase \"allocated\":\n    42→\t\t\treturn schema.NodeStateAllocated\n    43→\t\tcase \"reserved\":\n    44→\t\t\treturn schema.NodeStateReserved\n    45→\t\tcase \"idle\":\n    46→\t\t\treturn schema.NodeStateIdle\n    47→\t\tcase \"down\":\n    48→\t\t\treturn schema.NodeStateDown\n    49→\t\tcase \"mixed\":\n    50→\t\t\treturn schema.NodeStateMixed\n    51→\t\t}\n    52→\t}\n    53→\n    54→\treturn schema.NodeStateUnknown\n    55→}\n    56→\n    57→// updateNodeStates godoc\n    58→// @summary     Deliver updated Slurm node states\n    59→// @tags Nodestates\n    60→// @description Returns a JSON-encoded list of users.\n    61→// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n    62→// @produce     json\n    63→// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n    64→// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n    65→// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n    66→// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n    67→// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n    68→// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n    69→// @security    ApiKeyAuth\n    70→// @router      /api/nodestats/ [post]\n    71→func (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n    72→\t// Parse request body\n    73→\treq := UpdateNodeStatesRequest{}\n    74→\tif err := decode(r.Body, &req); err != nil {\n    75→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n    76→\t\t\thttp.StatusBadRequest, rw)\n    77→\t\treturn\n    78→\t}\n    79→\trequestReceived := time.Now().Unix()\n    80→\trepo := repository.GetNodeRepository()\n    81→\n    82→\tm := make(map[string][]string)\n    83→\tmetricNames := make(map[string][]string)\n    84→\thealthResults := make(map[string]metricstore.HealthCheckResult)\n    85→\n    86→\tstartMs := time.Now()\n    87→\n    88→\t// Step 1: Build nodeList and metricList per subcluster\n    89→\tfor _, node := range req.Nodes {\n    90→\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n    91→\t\t\tm[sc] = append(m[sc], node.Hostname)\n    92→\t\t}\n    93→\t}\n    94→\n    95→\tfor sc := range m {\n    96→\t\tif sc != \"\" {\n    97→\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n    98→\t\t\tmetricNames[sc] = metricListToNames(metricList)\n    99→\t\t}\n   100→\t}\n   101→\n   102→\t// Step 2: Determine which metric store to query and perform health check\n   103→\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n   104→\tif err != nil {\n   105→\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n   106→\t} else {\n   107→\t\tfor sc, nl := range m {\n   108→\t\t\tif sc != \"\" {\n   109→\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n   110→\t\t\t\t\tmaps.Copy(healthResults, results)\n   111→\t\t\t\t}\n   112→\t\t\t}\n   113→\t\t}\n   114→\t}\n   115→\n   116→\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n   117→\tstartDB := time.Now()\n   118→\n   119→\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n   120→\tfor _, node := range req.Nodes {\n   121→\t\tstate := determineState(node.States)\n   122→\t\thealthState := schema.MonitoringStateFailed\n   123→\t\tvar healthMetrics string\n   124→\t\tif result, ok := healthResults[node.Hostname]; ok {\n   125→\t\t\thealthState = result.State\n   126→\t\t\thealthMetrics = result.HealthMetrics\n   127→\t\t}\n   128→\t\tnodeState := schema.NodeStateDB{\n   129→\t\t\tTimeStamp:       requestReceived,\n   130→\t\t\tNodeState:       state,\n   131→\t\t\tCpusAllocated:   node.CpusAllocated,\n   132→\t\t\tMemoryAllocated: node.MemoryAllocated,\n   133→\t\t\tGpusAllocated:   node.GpusAllocated,\n   134→\t\t\tHealthState:     healthState,\n   135→\t\t\tHealthMetrics:   healthMetrics,\n   136→\t\t\tJobsRunning:     node.JobsRunning,\n   137→\t\t}\n   138→\t\tupdates = append(updates, repository.NodeStateUpdate{\n   139→\t\t\tHostname:  node.Hostname,\n   140→\t\t\tCluster:   req.Cluster,\n   141→\t\t\tNodeState: &nodeState,\n   142→\t\t})\n   143→\t}\n   144→\n   145→\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n   146→\t\tcclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n   147→\t}\n   148→\n   149→\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n   150→}\n   151→"}]},"uuid":"9c0cfab7-e9bd-4969-b758-0f23af3316fb","timestamp":"2026-03-16T10:18:52.504Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"38f8eff9-fb41-4be7-899f-5b163e75c8a1","timestamp":"2026-03-16T10:18:52.723Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"38f8eff9-fb41-4be7-899f-5b163e75c8a1","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:52.749Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_014RpU7fRmzbTvy6u5LUG6sy","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JosVmFqzYDA93aNdHQs2th","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/user.go","limit":200},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":32692,"cache_read_input_tokens":42461,"cache_creation":{"ephemeral_5m_input_tokens":32692,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6uZ2XXuQVqpSoyuCh","uuid":"d8545824-1bd7-405d-96bf-deb7db5c79cb"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"16133c4f-e6f2-4137-8f84-82593c680f07","timestamp":"2026-03-16T10:18:52.749Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"16133c4f-e6f2-4137-8f84-82593c680f07","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JosVmFqzYDA93aNdHQs2th","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"encoding/json\"\n    10→\t\"fmt\"\n    11→\t\"net/http\"\n    12→\n    13→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    15→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    16→\t\"github.com/go-chi/chi/v5\"\n    17→)\n    18→\n    19→type APIReturnedUser struct {\n    20→\tUsername string   `json:\"username\"`\n    21→\tName     string   `json:\"name\"`\n    22→\tRoles    []string `json:\"roles\"`\n    23→\tEmail    string   `json:\"email\"`\n    24→\tProjects []string `json:\"projects\"`\n    25→}\n    26→\n    27→// getUsers godoc\n    28→// @summary     Returns a list of users\n    29→// @tags User\n    30→// @description Returns a JSON-encoded list of users.\n    31→// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n    32→// @produce     json\n    33→// @param       not-just-user query bool true \"If returned list should contain all users or only users with additional special roles\"\n    34→// @success     200     {array} api.APIReturnedUser \"List of users returned successfully\"\n    35→// @failure     400     {string} string             \"Bad Request\"\n    36→// @failure     401     {string} string             \"Unauthorized\"\n    37→// @failure     403     {string} string             \"Forbidden\"\n    38→// @failure     500     {string} string             \"Internal Server Error\"\n    39→// @security    ApiKeyAuth\n    40→// @router      /api/users/ [get]\n    41→func (api *RestAPI) getUsers(rw http.ResponseWriter, r *http.Request) {\n    42→\t// SecuredCheck() only worked with TokenAuth: Removed\n    43→\n    44→\tif user := repository.GetUserFromContext(r.Context()); !user.HasRole(schema.RoleAdmin) {\n    45→\t\thandleError(fmt.Errorf(\"only admins are allowed to fetch a list of users\"), http.StatusForbidden, rw)\n    46→\t\treturn\n    47→\t}\n    48→\n    49→\tusers, err := repository.GetUserRepository().ListUsers(r.URL.Query().Get(\"not-just-user\") == \"true\")\n    50→\tif err != nil {\n    51→\t\thandleError(fmt.Errorf(\"listing users failed: %w\", err), http.StatusInternalServerError, rw)\n    52→\t\treturn\n    53→\t}\n    54→\n    55→\trw.Header().Set(\"Content-Type\", \"application/json\")\n    56→\tif err := json.NewEncoder(rw).Encode(users); err != nil {\n    57→\t\tcclog.Errorf(\"Failed to encode users response: %v\", err)\n    58→\t}\n    59→}\n    60→\n    61→// updateUser godoc\n    62→// @summary     Update user roles and projects\n    63→// @tags User\n    64→// @description Allows admins to add/remove roles and projects for a user\n    65→// @produce     plain\n    66→// @param       id          path   string  true  \"Username\"\n    67→// @param       add-role    formData string false \"Role to add\"\n    68→// @param       remove-role formData string false \"Role to remove\"\n    69→// @param       add-project formData string false \"Project to add\"\n    70→// @param       remove-project formData string false \"Project to remove\"\n    71→// @success     200     {string} string \"Success message\"\n    72→// @failure     403     {object} api.ErrorResponse \"Forbidden\"\n    73→// @failure     422     {object} api.ErrorResponse \"Unprocessable Entity\"\n    74→// @security    ApiKeyAuth\n    75→// @router      /api/user/{id} [post]\n    76→func (api *RestAPI) updateUser(rw http.ResponseWriter, r *http.Request) {\n    77→\t// SecuredCheck() only worked with TokenAuth: Removed\n    78→\n    79→\tif user := repository.GetUserFromContext(r.Context()); !user.HasRole(schema.RoleAdmin) {\n    80→\t\thandleError(fmt.Errorf(\"only admins are allowed to update a user\"), http.StatusForbidden, rw)\n    81→\t\treturn\n    82→\t}\n    83→\n    84→\t// Get Values\n    85→\tnewrole := r.FormValue(\"add-role\")\n    86→\tdelrole := r.FormValue(\"remove-role\")\n    87→\tnewproj := r.FormValue(\"add-project\")\n    88→\tdelproj := r.FormValue(\"remove-project\")\n    89→\n    90→\trw.Header().Set(\"Content-Type\", \"application/json\")\n    91→\n    92→\t// Handle role updates\n    93→\tif newrole != \"\" {\n    94→\t\tif err := repository.GetUserRepository().AddRole(r.Context(), chi.URLParam(r, \"id\"), newrole); err != nil {\n    95→\t\t\thandleError(fmt.Errorf(\"adding role failed: %w\", err), http.StatusUnprocessableEntity, rw)\n    96→\t\t\treturn\n    97→\t\t}\n    98→\t\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{Message: \"Add Role Success\"}); err != nil {\n    99→\t\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n   100→\t\t}\n   101→\t} else if delrole != \"\" {\n   102→\t\tif err := repository.GetUserRepository().RemoveRole(r.Context(), chi.URLParam(r, \"id\"), delrole); err != nil {\n   103→\t\t\thandleError(fmt.Errorf(\"removing role failed: %w\", err), http.StatusUnprocessableEntity, rw)\n   104→\t\t\treturn\n   105→\t\t}\n   106→\t\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{Message: \"Remove Role Success\"}); err != nil {\n   107→\t\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n   108→\t\t}\n   109→\t} else if newproj != \"\" {\n   110→\t\tif err := repository.GetUserRepository().AddProject(r.Context(), chi.URLParam(r, \"id\"), newproj); err != nil {\n   111→\t\t\thandleError(fmt.Errorf(\"adding project failed: %w\", err), http.StatusUnprocessableEntity, rw)\n   112→\t\t\treturn\n   113→\t\t}\n   114→\t\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{Message: \"Add Project Success\"}); err != nil {\n   115→\t\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n   116→\t\t}\n   117→\t} else if delproj != \"\" {\n   118→\t\tif err := repository.GetUserRepository().RemoveProject(r.Context(), chi.URLParam(r, \"id\"), delproj); err != nil {\n   119→\t\t\thandleError(fmt.Errorf(\"removing project failed: %w\", err), http.StatusUnprocessableEntity, rw)\n   120→\t\t\treturn\n   121→\t\t}\n   122→\t\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{Message: \"Remove Project Success\"}); err != nil {\n   123→\t\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n   124→\t\t}\n   125→\t} else {\n   126→\t\thandleError(fmt.Errorf(\"no operation specified: must provide add-role, remove-role, add-project, or remove-project\"), http.StatusBadRequest, rw)\n   127→\t}\n   128→}\n   129→\n   130→// createUser godoc\n   131→// @summary     Create a new user\n   132→// @tags User\n   133→// @description Creates a new user with specified credentials and role\n   134→// @produce     plain\n   135→// @param       username formData string true  \"Username\"\n   136→// @param       password formData string false \"Password (not required for API users)\"\n   137→// @param       role     formData string true  \"User role\"\n   138→// @param       name     formData string false \"Full name\"\n   139→// @param       email    formData string false \"Email address\"\n   140→// @param       project  formData string false \"Project (required for managers)\"\n   141→// @success     200     {string} string \"Success message\"\n   142→// @failure     400     {object} api.ErrorResponse \"Bad Request\"\n   143→// @failure     403     {object} api.ErrorResponse \"Forbidden\"\n   144→// @failure     422     {object} api.ErrorResponse \"Unprocessable Entity\"\n   145→// @security    ApiKeyAuth\n   146→// @router      /api/users/ [post]\n   147→func (api *RestAPI) createUser(rw http.ResponseWriter, r *http.Request) {\n   148→\t// SecuredCheck() only worked with TokenAuth: Removed\n   149→\n   150→\trw.Header().Set(\"Content-Type\", \"text/plain\")\n   151→\tme := repository.GetUserFromContext(r.Context())\n   152→\tif !me.HasRole(schema.RoleAdmin) {\n   153→\t\thandleError(fmt.Errorf(\"only admins are allowed to create new users\"), http.StatusForbidden, rw)\n   154→\t\treturn\n   155→\t}\n   156→\n   157→\tusername, password, role, name, email, project := r.FormValue(\"username\"),\n   158→\t\tr.FormValue(\"password\"), r.FormValue(\"role\"), r.FormValue(\"name\"),\n   159→\t\tr.FormValue(\"email\"), r.FormValue(\"project\")\n   160→\n   161→\t// Validate username length\n   162→\tif len(username) == 0 || len(username) > 100 {\n   163→\t\thandleError(fmt.Errorf(\"username must be between 1 and 100 characters\"), http.StatusBadRequest, rw)\n   164→\t\treturn\n   165→\t}\n   166→\n   167→\tif len(password) == 0 && role != schema.GetRoleString(schema.RoleAPI) {\n   168→\t\thandleError(fmt.Errorf(\"only API users are allowed to have a blank password (login will be impossible)\"), http.StatusBadRequest, rw)\n   169→\t\treturn\n   170→\t}\n   171→\n   172→\tif len(project) != 0 && role != schema.GetRoleString(schema.RoleManager) {\n   173→\t\thandleError(fmt.Errorf(\"only managers require a project (can be changed later)\"), http.StatusBadRequest, rw)\n   174→\t\treturn\n   175→\t} else if len(project) == 0 && role == schema.GetRoleString(schema.RoleManager) {\n   176→\t\thandleError(fmt.Errorf(\"managers require a project to manage (can be changed later)\"), http.StatusBadRequest, rw)\n   177→\t\treturn\n   178→\t}\n   179→\n   180→\tif err := repository.GetUserRepository().AddUser(&schema.User{\n   181→\t\tUsername: username,\n   182→\t\tName:     name,\n   183→\t\tPassword: password,\n   184→\t\tEmail:    email,\n   185→\t\tProjects: []string{project},\n   186→\t\tRoles:    []string{role},\n   187→\t}); err != nil {\n   188→\t\thandleError(fmt.Errorf(\"adding user failed: %w\", err), http.StatusUnprocessableEntity, rw)\n   189→\t\treturn\n   190→\t}\n   191→\n   192→\tfmt.Fprintf(rw, \"User %v successfully created!\\n\", username)\n   193→}\n   194→\n   195→// deleteUser godoc\n   196→// @summary     Delete a user\n   197→// @tags User\n   198→// @description Deletes a user from the system\n   199→// @produce     plain\n   200→// @param       username formData string true \"Username to delete\""}]},"uuid":"cfb5b7b8-055b-4956-adeb-e63317b9b0c9","timestamp":"2026-03-16T10:18:52.751Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"7d4200d1-0800-4d5c-be33-f38c9788a1c2","timestamp":"2026-03-16T10:18:52.762Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"c19e9244-b2e7-4f27-b3b5-14dc88e3b938","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QLb9mfXyhKSD5PdVWp1vgm","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"math\"\n    11→\t\"time\"\n    12→\n    13→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    14→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    16→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    17→\tsq \"github.com/Masterminds/squirrel\"\n    18→\t\"github.com/go-co-op/gocron/v2\"\n    19→)\n    20→\n    21→func RegisterFootprintWorker() {\n    22→\tvar frequency string\n    23→\tif Keys.FootprintWorker != \"\" {\n    24→\t\tfrequency = Keys.FootprintWorker\n    25→\t} else {\n    26→\t\tfrequency = \"10m\"\n    27→\t}\n    28→\n    29→\td, err := parseDuration(frequency)\n    30→\tif err != nil {\n    31→\t\tcclog.Errorf(\"RegisterFootprintWorker: %v\", err)\n    32→\t\treturn\n    33→\t}\n    34→\n    35→\tcclog.Infof(\"Register Footprint Update service with %s interval\", frequency)\n    36→\n    37→\ts.NewJob(gocron.DurationJob(d),\n    38→\t\tgocron.NewTask(\n    39→\t\t\tfunc() {\n    40→\t\t\t\ts := time.Now()\n    41→\t\t\t\tc := 0\n    42→\t\t\t\tce := 0\n    43→\t\t\t\tcl := 0\n    44→\t\t\t\tcclog.Infof(\"Update Footprints started at %s\", s.Format(time.RFC3339))\n    45→\n    46→\t\t\t\tfor _, cluster := range archive.Clusters {\n    47→\t\t\t\t\tsCluster := time.Now()\n    48→\t\t\t\t\tjobs, err := jobRepo.FindRunningJobs(cluster.Name)\n    49→\t\t\t\t\tif err != nil {\n    50→\t\t\t\t\t\tcontinue\n    51→\t\t\t\t\t}\n    52→\t\t\t\t\t// NOTE: Additional SubCluster Loop Could Allow For Limited List Of Footprint-Metrics Only.\n    53→\t\t\t\t\t//       - Chunk-Size Would Then Be 'SubCluster' (Running Jobs, Transactions) as Lists Can Change Within SCs\n    54→\t\t\t\t\t//       - Would Require Review of 'updateFootprint' Usage (Logic Could Possibly Be Included Here Completely)\n    55→\t\t\t\t\tallMetrics := make([]string, 0)\n    56→\t\t\t\t\tmetricConfigs := archive.GetCluster(cluster.Name).MetricConfig\n    57→\t\t\t\t\tfor _, mc := range metricConfigs {\n    58→\t\t\t\t\t\tallMetrics = append(allMetrics, mc.Name)\n    59→\t\t\t\t\t}\n    60→\n    61→\t\t\t\t\tpendingStatements := []sq.UpdateBuilder{}\n    62→\n    63→\t\t\t\t\tfor _, job := range jobs {\n    64→\t\t\t\t\t\tcclog.Debugf(\"Prepare job %d\", job.JobID)\n    65→\t\t\t\t\t\tcl++\n    66→\n    67→\t\t\t\t\t\tsJob := time.Now()\n    68→\n    69→\t\t\t\t\t\tms, err := metricdispatch.GetMetricDataRepo(job.Cluster, job.SubCluster)\n    70→\t\t\t\t\t\tif err != nil {\n    71→\t\t\t\t\t\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n    72→\t\t\t\t\t\t\t\tjob.Cluster, job.SubCluster, err.Error())\n    73→\t\t\t\t\t\t\tcontinue\n    74→\t\t\t\t\t\t}\n    75→\n    76→\t\t\t\t\t\tjobStats, err := ms.LoadStats(job, allMetrics, context.Background())\n    77→\t\t\t\t\t\tif err != nil {\n    78→\t\t\t\t\t\t\tcclog.Errorf(\"error wile loading job data stats for footprint update: %v\", err)\n    79→\t\t\t\t\t\t\tce++\n    80→\t\t\t\t\t\t\tcontinue\n    81→\t\t\t\t\t\t}\n    82→\n    83→\t\t\t\t\t\tjob.Statistics = make(map[string]schema.JobStatistics)\n    84→\n    85→\t\t\t\t\t\tfor _, metric := range allMetrics {\n    86→\t\t\t\t\t\t\tavg, min, max := 0.0, 0.0, 0.0\n    87→\t\t\t\t\t\t\tdata, ok := jobStats[metric] // JobStats[Metric1:[Hostname1:[Stats], Hostname2:[Stats], ...], Metric2[...] ...]\n    88→\t\t\t\t\t\t\tif ok {\n    89→\t\t\t\t\t\t\t\tfor _, res := range job.Resources {\n    90→\t\t\t\t\t\t\t\t\thostStats, ok := data[res.Hostname]\n    91→\t\t\t\t\t\t\t\t\tif ok {\n    92→\t\t\t\t\t\t\t\t\t\tavg += hostStats.Avg\n    93→\t\t\t\t\t\t\t\t\t\tmin = math.Min(min, hostStats.Min)\n    94→\t\t\t\t\t\t\t\t\t\tmax = math.Max(max, hostStats.Max)\n    95→\t\t\t\t\t\t\t\t\t}\n    96→\n    97→\t\t\t\t\t\t\t\t}\n    98→\t\t\t\t\t\t\t}\n    99→\n   100→\t\t\t\t\t\t\t// Add values rounded to 2 digits: repo.LoadStats may return unrounded\n   101→\t\t\t\t\t\t\tjob.Statistics[metric] = schema.JobStatistics{\n   102→\t\t\t\t\t\t\t\tUnit: schema.Unit{\n   103→\t\t\t\t\t\t\t\t\tPrefix: archive.GetMetricConfig(job.Cluster, metric).Unit.Prefix,\n   104→\t\t\t\t\t\t\t\t\tBase:   archive.GetMetricConfig(job.Cluster, metric).Unit.Base,\n   105→\t\t\t\t\t\t\t\t},\n   106→\t\t\t\t\t\t\t\tAvg: (math.Round((avg/float64(job.NumNodes))*100) / 100),\n   107→\t\t\t\t\t\t\t\tMin: (math.Round(min*100) / 100),\n   108→\t\t\t\t\t\t\t\tMax: (math.Round(max*100) / 100),\n   109→\t\t\t\t\t\t\t}\n   110→\t\t\t\t\t\t}\n   111→\n   112→\t\t\t\t\t\t// Build Statement per Job, Add to Pending Array\n   113→\t\t\t\t\t\tstmt := sq.Update(\"job\")\n   114→\t\t\t\t\t\tstmt, err = jobRepo.UpdateFootprint(stmt, job)\n   115→\t\t\t\t\t\tif err != nil {\n   116→\t\t\t\t\t\t\tcclog.Errorf(\"update job (dbid: %d) statement build failed at footprint step: %s\", *job.ID, err.Error())\n   117→\t\t\t\t\t\t\tce++\n   118→\t\t\t\t\t\t\tcontinue\n   119→\t\t\t\t\t\t}\n   120→\t\t\t\t\t\tstmt = stmt.Where(\"job.id = ?\", job.ID)\n   121→\n   122→\t\t\t\t\t\tpendingStatements = append(pendingStatements, stmt)\n   123→\t\t\t\t\t\tcclog.Debugf(\"Job %d took %s\", job.JobID, time.Since(sJob))\n   124→\t\t\t\t\t}\n   125→\n   126→\t\t\t\t\tt, err := jobRepo.TransactionInit()\n   127→\t\t\t\t\tif err != nil {\n   128→\t\t\t\t\t\tcclog.Errorf(\"failed TransactionInit %v\", err)\n   129→\t\t\t\t\t\tcclog.Errorf(\"skipped %d transactions for cluster %s\", len(pendingStatements), cluster.Name)\n   130→\t\t\t\t\t\tce += len(pendingStatements)\n   131→\t\t\t\t\t} else {\n   132→\t\t\t\t\t\tfor _, ps := range pendingStatements {\n   133→\t\t\t\t\t\t\tquery, args, err := ps.ToSql()\n   134→\t\t\t\t\t\t\tif err != nil {\n   135→\t\t\t\t\t\t\t\tcclog.Errorf(\"failed in ToSQL conversion: %v\", err)\n   136→\t\t\t\t\t\t\t\tce++\n   137→\t\t\t\t\t\t\t} else {\n   138→\t\t\t\t\t\t\t\t// args...: Footprint-JSON, Energyfootprint-JSON, TotalEnergy, JobID\n   139→\t\t\t\t\t\t\t\tjobRepo.TransactionAdd(t, query, args...)\n   140→\t\t\t\t\t\t\t\tc++\n   141→\t\t\t\t\t\t\t}\n   142→\t\t\t\t\t\t}\n   143→\t\t\t\t\t\tjobRepo.TransactionEnd(t)\n   144→\t\t\t\t\t}\n   145→\t\t\t\t\tcclog.Debugf(\"Finish Cluster %s, took %s\\n\", cluster.Name, time.Since(sCluster))\n   146→\t\t\t\t}\n   147→\t\t\t\tcclog.Infof(\"Updating %d (of %d; Skipped %d) Footprints is done and took %s\", c, cl, ce, time.Since(s))\n   148→\t\t\t}))\n   149→}\n   150→"}]},"uuid":"456413bc-a565-41c3-8e87-0176895a1829","timestamp":"2026-03-16T10:18:53.748Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"62e873a3-baee-4dfc-bd4b-7561978a26db","timestamp":"2026-03-16T10:18:53.749Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"64a11e98-8055-4b1b-96dc-12e53e891a63","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AgTvRhCb8gogxUyXufTPVG","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"runtime\"\n    10→\n    11→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    13→\t\"github.com/go-co-op/gocron/v2\"\n    14→)\n    15→\n    16→func RegisterStopJobsExceedTime() {\n    17→\tcclog.Info(\"Register undead jobs service\")\n    18→\n    19→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(3, 0, 0))),\n    20→\t\tgocron.NewTask(\n    21→\t\t\tfunc() {\n    22→\t\t\t\terr := jobRepo.StopJobsExceedingWalltimeBy(config.Keys.StopJobsExceedingWalltime)\n    23→\t\t\t\tif err != nil {\n    24→\t\t\t\t\tcclog.Warnf(\"Error while looking for jobs exceeding their walltime: %s\", err.Error())\n    25→\t\t\t\t}\n    26→\t\t\t\truntime.GC()\n    27→\t\t\t}))\n    28→}\n    29→"}]},"uuid":"03034ea9-4ee9-4f15-8b41-a1bc34ca5277","timestamp":"2026-03-16T10:18:53.886Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"4c5ceac1-a9ff-4333-8da3-a644badda1f2","timestamp":"2026-03-16T10:18:53.917Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"403384bf-dcc2-4280-82ff-b68ed75734cd","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01McQ9T6QxDeit77LG46688e","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package repository provides data access and persistence layer for ClusterCockpit.\n     7→//\n     8→// This file implements tag management functionality for job categorization and classification.\n     9→// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n    10→// (via tagger plugins). The implementation includes role-based access control through\n    11→// tag scopes and maintains bidirectional consistency between the SQL database and\n    12→// the file-based job archive.\n    13→//\n    14→// Database Schema:\n    15→//\n    16→//\tCREATE TABLE tag (\n    17→//\t    id INTEGER PRIMARY KEY AUTOINCREMENT,\n    18→//\t    tag_type VARCHAR(255) NOT NULL,\n    19→//\t    tag_name VARCHAR(255) NOT NULL,\n    20→//\t    tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n    21→//\t    CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n    22→//\t);\n    23→//\n    24→//\tCREATE TABLE jobtag (\n    25→//\t    job_id INTEGER,\n    26→//\t    tag_id INTEGER,\n    27→//\t    PRIMARY KEY (job_id, tag_id),\n    28→//\t    FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n    29→//\t    FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n    30→//\t);\n    31→//\n    32→// The jobtag junction table enables many-to-many relationships between jobs and tags.\n    33→// CASCADE deletion ensures referential integrity when jobs or tags are removed.\n    34→package repository\n    35→\n    36→import (\n    37→\t\"errors\"\n    38→\t\"fmt\"\n    39→\t\"strings\"\n    40→\n    41→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    42→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    43→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    44→\tsq \"github.com/Masterminds/squirrel\"\n    45→)\n    46→\n    47→// Tag Scope Rules:\n    48→//\n    49→// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n    50→//\n    51→//  1. \"global\" - Visible to all users, can be used by anyone\n    52→//     Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n    53→//\n    54→//  2. \"private\" - Only visible to the creating user\n    55→//     Example: Personal notes like \"needs-review\", \"interesting-case\"\n    56→//\n    57→//  3. \"admin\" - Only visible to users with admin or support roles\n    58→//     Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n    59→//\n    60→// Authorization Rules:\n    61→//   - Regular users can only create/see \"global\" and their own \"private\" tags\n    62→//   - Admin/Support can create/see all scopes including \"admin\" tags\n    63→//   - Users can only add tags to jobs they have permission to view\n    64→//   - Tag scope is enforced at query time in GetTags() and CountTags()\n    65→\n    66→// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n    67→// Requires user authentication for security checks.\n    68→//\n    69→// The user must have permission to view the job. Tag visibility is determined by scope:\n    70→//   - \"global\" tags: visible to all users\n    71→//   - \"private\" tags: only visible to the tag creator\n    72→//   - \"admin\" tags: only visible to admin/support users\n    73→func (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n    74→\tj, err := r.FindByIDWithUser(user, job)\n    75→\tif err != nil {\n    76→\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n    77→\t\treturn nil, err\n    78→\t}\n    79→\n    80→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n    81→\t\treturn r.GetTags(user, &job)\n    82→\t})\n    83→}\n    84→\n    85→// AddTagDirect adds a tag without user security checks.\n    86→// Use only for internal/admin operations.\n    87→func (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n    88→\tj, err := r.FindByIDDirect(job)\n    89→\tif err != nil {\n    90→\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n    91→\t\treturn nil, err\n    92→\t}\n    93→\n    94→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n    95→\t\treturn r.GetTagsDirect(&job)\n    96→\t})\n    97→}\n    98→\n    99→// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n   100→// Requires user authentication for security checks. Used by GraphQL API.\n   101→func (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n   102→\tj, err := r.FindByIDWithUser(user, job)\n   103→\tif err != nil {\n   104→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n   105→\t\treturn nil, err\n   106→\t}\n   107→\n   108→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n   109→\n   110→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   111→\t\ts, _, _ := q.ToSql()\n   112→\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n   113→\t\treturn nil, err\n   114→\t}\n   115→\n   116→\ttags, err := r.GetTags(user, &job)\n   117→\tif err != nil {\n   118→\t\tcclog.Warn(\"Error while getting tags for job\")\n   119→\t\treturn nil, err\n   120→\t}\n   121→\n   122→\tarchiveTags, err := r.getArchiveTags(&job)\n   123→\tif err != nil {\n   124→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n   125→\t\treturn nil, err\n   126→\t}\n   127→\n   128→\treturn tags, archive.UpdateTags(j, archiveTags)\n   129→}\n   130→\n   131→// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n   132→// Requires user authentication for security checks. Used by REST API.\n   133→func (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n   134→\t// Get Tag ID to delete\n   135→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   136→\tif !exists {\n   137→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   138→\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   139→\t}\n   140→\n   141→\t// Get Job\n   142→\tj, err := r.FindByIDWithUser(user, job)\n   143→\tif err != nil {\n   144→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n   145→\t\treturn nil, err\n   146→\t}\n   147→\n   148→\t// Handle Delete\n   149→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n   150→\n   151→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   152→\t\ts, _, _ := q.ToSql()\n   153→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n   154→\t\treturn nil, err\n   155→\t}\n   156→\n   157→\ttags, err := r.GetTags(user, &job)\n   158→\tif err != nil {\n   159→\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n   160→\t\treturn nil, err\n   161→\t}\n   162→\n   163→\tarchiveTags, err := r.getArchiveTags(&job)\n   164→\tif err != nil {\n   165→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n   166→\t\treturn nil, err\n   167→\t}\n   168→\n   169→\treturn tags, archive.UpdateTags(j, archiveTags)\n   170→}\n   171→\n   172→// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n   173→//\n   174→// This function is called asynchronously (via goroutine) after removing a tag from the database\n   175→// to synchronize the file-based job archive with the database state. Errors are logged but not\n   176→// returned since this runs in the background.\n   177→//\n   178→// Parameters:\n   179→//   - jobIds: Database IDs of all jobs that had the deleted tag\n   180→//\n   181→// Implementation note: Each job is processed individually to handle partial failures gracefully.\n   182→// If one job fails to update, others will still be processed.\n   183→func (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n   184→\tfor _, j := range jobIds {\n   185→\t\ttags, err := r.getArchiveTags(&j)\n   186→\t\tif err != nil {\n   187→\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n   188→\t\t\tcontinue\n   189→\t\t}\n   190→\n   191→\t\tjob, err := r.FindByIDDirect(j)\n   192→\t\tif err != nil {\n   193→\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n   194→\t\t\tcontinue\n   195→\t\t}\n   196→\n   197→\t\tarchive.UpdateTags(job, tags)\n   198→\t}\n   199→}\n   200→\n   201→// Removes a tag from db by tag info\n   202→// Used by REST API. Does not update tagged jobs in Job archive.\n   203→func (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n   204→\t// Get Tag ID to delete\n   205→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   206→\tif !exists {\n   207→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   208→\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   209→\t}\n   210→\n   211→\treturn r.RemoveTagByID(tagID)\n   212→}\n   213→\n   214→// Removes a tag from db by tag id\n   215→// Used by GraphQL API.\n   216→func (r *JobRepository) RemoveTagByID(tagID int64) error {\n   217→\tjobIds, err := r.FindJobIdsByTag(tagID)\n   218→\tif err != nil {\n   219→\t\treturn err\n   220→\t}\n   221→\n   222→\t// Handle Delete JobTagTable\n   223→\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n   224→\n   225→\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n   226→\t\ts, _, _ := qJobTag.ToSql()\n   227→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n   228→\t\treturn err\n   229→\t}\n   230→\n   231→\t// Handle Delete TagTable\n   232→\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n   233→\n   234→\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n   235→\t\ts, _, _ := qTag.ToSql()\n   236→\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n   237→\t\treturn err\n   238→\t}\n   239→\n   240→\t// asynchronously update archive jobs\n   241→\tgo r.removeTagFromArchiveJobs(jobIds)\n   242→\n   243→\treturn nil\n   244→}\n   245→\n   246→// CreateTag creates a new tag with the specified type, name, and scope.\n   247→// Returns the database ID of the newly created tag.\n   248→//\n   249→// Scope defaults to \"global\" if empty string is provided.\n   250→// Valid scopes: \"global\", \"private\", \"admin\"\n   251→//\n   252→// Example:\n   253→//\n   254→//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\n   255→func (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n   256→\t// Default to \"Global\" scope if none defined\n   257→\tif tagScope == \"\" {\n   258→\t\ttagScope = \"global\"\n   259→\t}\n   260→\n   261→\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n   262→\n   263→\tres, err := q.RunWith(r.stmtCache).Exec()\n   264→\tif err != nil {\n   265→\t\ts, _, _ := q.ToSql()\n   266→\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n   267→\t\treturn 0, err\n   268→\t}\n   269→\n   270→\treturn res.LastInsertId()\n   271→}\n   272→\n   273→// CountTags returns all tags visible to the user and the count of jobs for each tag.\n   274→// Applies scope-based filtering to respect tag visibility rules.\n   275→//\n   276→// Returns:\n   277→//   - tags: slice of tags the user can see\n   278→//   - counts: map of tag name to job count\n   279→//   - err: any error encountered\n   280→func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n   281→\ttags = make([]schema.Tag, 0, 100)\n   282→\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n   283→\tif err != nil {\n   284→\t\treturn nil, nil, err\n   285→\t}\n   286→\tdefer xrows.Close()\n   287→\n   288→\tfor xrows.Next() {\n   289→\t\tvar t schema.Tag\n   290→\t\tif err = xrows.StructScan(&t); err != nil {\n   291→\t\t\treturn nil, nil, err\n   292→\t\t}\n   293→\n   294→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n   295→\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n   296→\t\tif err != nil {\n   297→\t\t\treturn nil, nil, err\n   298→\t\t}\n   299→\t\tif readable {\n   300→\t\t\ttags = append(tags, t)\n   301→\t\t}\n   302→\t}\n   303→\n   304→\tif err := xrows.Err(); err != nil {\n   305→\t\treturn nil, nil, err\n   306→\t}\n   307→\n   308→\t// Query and Count Jobs with attached Tags\n   309→\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n   310→\t\tFrom(\"tag t\").\n   311→\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n   312→\t\tGroupBy(\"t.tag_type, t.tag_name\")\n   313→\n   314→\t// Build scope list for filtering\n   315→\tvar scopeBuilder strings.Builder\n   316→\tscopeBuilder.WriteString(`\"global\"`)\n   317→\tif user != nil {\n   318→\t\tscopeBuilder.WriteString(`,\"`)\n   319→\t\tscopeBuilder.WriteString(user.Username)\n   320→\t\tscopeBuilder.WriteString(`\"`)\n   321→\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n   322→\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n   323→\t\t}\n   324→\t}\n   325→\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n   326→\n   327→\t// Handle Job Ownership\n   328→\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n   329→\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n   330→\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n   331→\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n   332→\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n   333→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n   334→\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n   335→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n   336→\t}\n   337→\n   338→\trows, err := q.RunWith(r.stmtCache).Query()\n   339→\tif err != nil {\n   340→\t\treturn nil, nil, err\n   341→\t}\n   342→\tdefer rows.Close()\n   343→\n   344→\tcounts = make(map[string]int)\n   345→\tfor rows.Next() {\n   346→\t\tvar tagType string\n   347→\t\tvar tagName string\n   348→\t\tvar tagID int\n   349→\t\tvar count int\n   350→\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n   351→\t\t\treturn nil, nil, err\n   352→\t\t}\n   353→\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n   354→\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n   355→\t}\n   356→\terr = rows.Err()\n   357→\n   358→\treturn tags, counts, err\n   359→}\n   360→\n   361→var (\n   362→\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n   363→\tErrTagNotFound = errors.New(\"the tag does not exist\")\n   364→\n   365→\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n   366→\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n   367→\n   368→\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n   369→\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n   370→\n   371→\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n   372→\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n   373→\n   374→\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n   375→\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n   376→\n   377→\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n   378→\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n   379→)\n   380→\n   381→// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n   382→//\n   383→// This function performs three operations atomically:\n   384→//  1. Inserts the job-tag association into the jobtag junction table\n   385→//  2. Retrieves the updated tag list for the job (using the provided getTags callback)\n   386→//  3. Updates the job archive with the new tags to maintain database-archive consistency\n   387→//\n   388→// Parameters:\n   389→//   - jobId: Database ID of the job\n   390→//   - tagId: Database ID of the tag to associate\n   391→//   - job: Full job object needed for archive update\n   392→//   - getTags: Callback function to retrieve updated tags (allows different security contexts)\n   393→//\n   394→// Returns the complete updated tag list for the job or an error.\n   395→//\n   396→// Note: This function does NOT validate tag scope permissions - callers must perform\n   397→// authorization checks before invoking this helper.\n   398→func (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n   399→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n   400→\n   401→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   402→\t\ts, _, _ := q.ToSql()\n   403→\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n   404→\t\treturn nil, err\n   405→\t}\n   406→\n   407→\ttags, err := getTags()\n   408→\tif err != nil {\n   409→\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n   410→\t\treturn nil, err\n   411→\t}\n   412→\n   413→\tarchiveTags, err := r.getArchiveTags(&jobID)\n   414→\tif err != nil {\n   415→\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n   416→\t\treturn nil, err\n   417→\t}\n   418→\n   419→\treturn tags, archive.UpdateTags(job, archiveTags)\n   420→}\n   421→\n   422→// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n   423→// If such a tag does not yet exist, it is created.\n   424→func (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n   425→\t// Default to \"Global\" scope if none defined\n   426→\tif tagScope == \"\" {\n   427→\t\ttagScope = \"global\"\n   428→\t}\n   429→\n   430→\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n   431→\tif err != nil {\n   432→\t\treturn 0, err\n   433→\t}\n   434→\tif !writable {\n   435→\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n   436→\t}\n   437→\n   438→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   439→\tif !exists {\n   440→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n   441→\t\tif err != nil {\n   442→\t\t\treturn 0, err\n   443→\t\t}\n   444→\t}\n   445→\n   446→\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n   447→\t\treturn 0, err\n   448→\t}\n   449→\n   450→\treturn tagID, nil\n   451→}\n   452→\n   453→func (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n   454→\ttagScope := \"global\"\n   455→\n   456→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   457→\tif !exists {\n   458→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n   459→\t\tif err != nil {\n   460→\t\t\treturn 0, err\n   461→\t\t}\n   462→\t}\n   463→\n   464→\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n   465→\n   466→\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n   467→\t\treturn 0, err\n   468→\t}\n   469→\n   470→\treturn tagID, nil\n   471→}\n   472→\n   473→func (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n   474→\tvar id int64\n   475→\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n   476→\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n   477→\t\tWhere(\"tag.tag_name = ?\", tagName)\n   478→\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n   479→\tif err != nil {\n   480→\t\treturn false\n   481→\t} else {\n   482→\t\treturn true\n   483→\t}\n   484→}\n   485→\n   486→// TagID returns the database id of the tag with the specified type and name.\n   487→func (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n   488→\texists = true\n   489→\tif err := sq.Select(\"id\").From(\"tag\").\n   490→\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n   491→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n   492→\t\texists = false\n   493→\t}\n   494→\treturn\n   495→}\n   496→\n   497→// TagInfo returns the database infos of the tag with the specified id.\n   498→func (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n   499→\texists = true\n   500→\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n   501→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n   502→\t\texists = false\n   503→\t}\n   504→\treturn\n   505→}\n   506→\n   507→// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\n   508→func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n   509→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n   510→\tif job != nil {\n   511→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n   512→\t}\n   513→\n   514→\trows, err := q.RunWith(r.stmtCache).Query()\n   515→\tif err != nil {\n   516→\t\ts, _, _ := q.ToSql()\n   517→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n   518→\t\treturn nil, err\n   519→\t}\n   520→\tdefer rows.Close()\n   521→\n   522→\ttags := make([]*schema.Tag, 0)\n   523→\tfor rows.Next() {\n   524→\t\ttag := &schema.Tag{}\n   525→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n   526→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n   527→\t\t\treturn nil, err\n   528→\t\t}\n   529→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n   530→\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n   531→\t\tif err != nil {\n   532→\t\t\treturn nil, err\n   533→\t\t}\n   534→\t\tif readable {\n   535→\t\t\ttags = append(tags, tag)\n   536→\t\t}\n   537→\t}\n   538→\n   539→\tif err := rows.Err(); err != nil {\n   540→\t\treturn nil, err\n   541→\t}\n   542→\n   543→\treturn tags, nil\n   544→}\n   545→\n   546→func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n   547→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n   548→\tif job != nil {\n   549→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n   550→\t}\n   551→\n   552→\trows, err := q.RunWith(r.stmtCache).Query()\n   553→\tif err != nil {\n   554→\t\ts, _, _ := q.ToSql()\n   555→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n   556→\t\treturn nil, err\n   557→\t}\n   558→\tdefer rows.Close()\n   559→\n   560→\ttags := make([]*schema.Tag, 0)\n   561→\tfor rows.Next() {\n   562→\t\ttag := &schema.Tag{}\n   563→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n   564→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n   565→\t\t\treturn nil, err\n   566→\t\t}\n   567→\t\ttags = append(tags, tag)\n   568→\t}\n   569→\n   570→\tif err := rows.Err(); err != nil {\n   571→\t\treturn nil, err\n   572→\t}\n   573→\n   574→\treturn tags, nil\n   575→}\n   576→\n   577→// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n   578→//\n   579→// This internal function is used exclusively for job archive synchronization where we need\n   580→// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n   581→// filters by scope, this returns the complete unfiltered tag list.\n   582→//\n   583→// Parameters:\n   584→//   - job: Pointer to job database ID, or nil to return all tags in the system\n   585→//\n   586→// Returns all tags without scope filtering, used only for archive operations.\n   587→//\n   588→// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\n   589→func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n   590→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n   591→\tif job != nil {\n   592→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n   593→\t}\n   594→\n   595→\trows, err := q.RunWith(r.stmtCache).Query()\n   596→\tif err != nil {\n   597→\t\ts, _, _ := q.ToSql()\n   598→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n   599→\t\treturn nil, err\n   600→\t}\n   601→\tdefer rows.Close()\n   602→\n   603→\ttags := make([]*schema.Tag, 0)\n   604→\tfor rows.Next() {\n   605→\t\ttag := &schema.Tag{}\n   606→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n   607→\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n   608→\t\t\treturn nil, err\n   609→\t\t}\n   610→\t\ttags = append(tags, tag)\n   611→\t}\n   612→\n   613→\tif err := rows.Err(); err != nil {\n   614→\t\treturn nil, err\n   615→\t}\n   616→\n   617→\treturn tags, nil\n   618→}\n   619→\n   620→func (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n   621→\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n   622→\n   623→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   624→\tif !exists {\n   625→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n   626→\t\tif err != nil {\n   627→\t\t\treturn err\n   628→\t\t}\n   629→\t}\n   630→\n   631→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n   632→\n   633→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   634→\t\ts, _, _ := q.ToSql()\n   635→\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n   636→\t\treturn err\n   637→\t}\n   638→\n   639→\treturn nil\n   640→}\n   641→\n   642→// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n   643→//\n   644→// This function implements the tag scope authorization matrix:\n   645→//\n   646→//\tScope        | Read Access                      | Write Access\n   647→//\t-------------|----------------------------------|----------------------------------\n   648→//\t\"global\"     | All users                        | Admin, Support, API-only\n   649→//\t\"admin\"      | Admin, Support                   | Admin, API-only\n   650→//\t<username>   | Owner only                       | Owner only (private tags)\n   651→//\n   652→// Parameters:\n   653→//   - user: User attempting the operation (must not be nil)\n   654→//   - operation: Either \"read\" or \"write\"\n   655→//   - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n   656→//\n   657→// Returns:\n   658→//   - pass: true if authorized, false if denied\n   659→//   - err: error only if operation is invalid or user is nil\n   660→//\n   661→// Special cases:\n   662→//   - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n   663→//   - Private tags use the username as scope, granting exclusive access to that user\n   664→func (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n   665→\tif user != nil {\n   666→\t\tswitch {\n   667→\t\tcase operation == \"write\" && scope == \"admin\":\n   668→\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n   669→\t\t\t\treturn true, nil\n   670→\t\t\t}\n   671→\t\t\treturn false, nil\n   672→\t\tcase operation == \"write\" && scope == \"global\":\n   673→\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n   674→\t\t\t\treturn true, nil\n   675→\t\t\t}\n   676→\t\t\treturn false, nil\n   677→\t\tcase operation == \"write\" && scope == user.Username:\n   678→\t\t\treturn true, nil\n   679→\t\tcase operation == \"read\" && scope == \"admin\":\n   680→\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n   681→\t\tcase operation == \"read\" && scope == \"global\":\n   682→\t\t\treturn true, nil\n   683→\t\tcase operation == \"read\" && scope == user.Username:\n   684→\t\t\treturn true, nil\n   685→\t\tdefault:\n   686→\t\t\tif operation == \"read\" || operation == \"write\" {\n   687→\t\t\t\t// No acceptable scope: deny tag\n   688→\t\t\t\treturn false, nil\n   689→\t\t\t} else {\n   690→\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n   691→\t\t\t}\n   692→\t\t}\n   693→\t} else {\n   694→\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n   695→\t}\n   696→}\n   697→"}]},"uuid":"24f743bb-f6b7-4740-81ba-80bbe330ba82","timestamp":"2026-03-16T10:18:54.661Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"fc679690-cf7e-4f11-b0bb-8bd2e3b0aa82","timestamp":"2026-03-16T10:18:54.885Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"fc679690-cf7e-4f11-b0bb-8bd2e3b0aa82","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:54.889Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01A3P6gr75foAWUNkAzA7oVj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012fdQFVceLrtsY7t3g5NiYW","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":1590,"cache_read_input_tokens":17374,"cache_creation":{"ephemeral_5m_input_tokens":1590,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7AcQ15FykJX5wRoAU","uuid":"5821928a-64f5-4494-a6ab-4062a001ad17"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"2da4ab86-6292-4c47-b96c-9472738423a3","timestamp":"2026-03-16T10:18:54.889Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"2da4ab86-6292-4c47-b96c-9472738423a3","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012fdQFVceLrtsY7t3g5NiYW","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"encoding/json\"\n    10→\t\"fmt\"\n    11→\n    12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    14→\tsq \"github.com/Masterminds/squirrel\"\n    15→)\n    16→\n    17→const NamedJobCacheInsert string = `INSERT INTO job_cache (\n    18→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n    19→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n    20→) VALUES (\n    21→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n    22→  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n    23→);`\n    24→\n    25→const NamedJobInsert string = `INSERT INTO job (\n    26→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n    27→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n    28→) VALUES (\n    29→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n    30→  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n    31→);`\n    32→\n    33→// InsertJobDirect inserts a job directly into the job table (not job_cache).\n    34→// Use this when the returned ID will be used for operations on the job table\n    35→// (e.g., adding tags), or for imported jobs that are already completed.\n    36→func (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n    37→\tr.Mutex.Lock()\n    38→\tdefer r.Mutex.Unlock()\n    39→\n    40→\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n    41→\tif err != nil {\n    42→\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n    43→\t\treturn 0, err\n    44→\t}\n    45→\tid, err := res.LastInsertId()\n    46→\tif err != nil {\n    47→\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n    48→\t\treturn 0, err\n    49→\t}\n    50→\n    51→\treturn id, nil\n    52→}\n    53→\n    54→func (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n    55→\tr.Mutex.Lock()\n    56→\tdefer r.Mutex.Unlock()\n    57→\n    58→\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n    59→\tif err != nil {\n    60→\t\tcclog.Warn(\"Error while NamedJobInsert\")\n    61→\t\treturn 0, err\n    62→\t}\n    63→\tid, err := res.LastInsertId()\n    64→\tif err != nil {\n    65→\t\tcclog.Warn(\"Error while getting last insert ID\")\n    66→\t\treturn 0, err\n    67→\t}\n    68→\n    69→\treturn id, nil\n    70→}\n    71→\n    72→func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n    73→\tr.Mutex.Lock()\n    74→\tdefer r.Mutex.Unlock()\n    75→\n    76→\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n    77→\n    78→\trows, err := query.RunWith(r.stmtCache).Query()\n    79→\tif err != nil {\n    80→\t\tcclog.Errorf(\"Error while running query %v\", err)\n    81→\t\treturn nil, err\n    82→\t}\n    83→\tdefer rows.Close()\n    84→\n    85→\tjobs := make([]*schema.Job, 0, 50)\n    86→\tfor rows.Next() {\n    87→\t\tjob, err := scanJob(rows)\n    88→\t\tif err != nil {\n    89→\t\t\tcclog.Warn(\"Error while scanning rows\")\n    90→\t\t\treturn nil, err\n    91→\t\t}\n    92→\t\tjobs = append(jobs, job)\n    93→\t}\n    94→\n    95→\t// Transfer cached jobs to main table and clear cache in a single transaction.\n    96→\ttx, err := r.DB.Beginx()\n    97→\tif err != nil {\n    98→\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n    99→\t\treturn nil, err\n   100→\t}\n   101→\tdefer tx.Rollback()\n   102→\n   103→\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n   104→\t_, err = tx.Exec(\n   105→\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n   106→\tif err != nil {\n   107→\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n   108→\t\treturn nil, err\n   109→\t}\n   110→\n   111→\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n   112→\tif err != nil {\n   113→\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n   114→\t\treturn nil, err\n   115→\t}\n   116→\n   117→\tif err := tx.Commit(); err != nil {\n   118→\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n   119→\t\treturn nil, err\n   120→\t}\n   121→\n   122→\t// Resolve correct job.id from the job table. The IDs read from job_cache\n   123→\t// are from a different auto-increment sequence and must not be used to\n   124→\t// query the job table.\n   125→\tfor _, job := range jobs {\n   126→\t\tvar newID int64\n   127→\t\tif err := sq.Select(\"job.id\").From(\"job\").\n   128→\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n   129→\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n   130→\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n   131→\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n   132→\t\t\t\tjob.JobID, job.Cluster, err)\n   133→\t\t\tcontinue\n   134→\t\t}\n   135→\t\tjob.ID = &newID\n   136→\t}\n   137→\n   138→\treturn jobs, nil\n   139→}\n   140→\n   141→// TransferCachedJobToMain moves a job from job_cache to the job table.\n   142→// Caller must hold r.Mutex. Returns the new job table ID.\n   143→func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n   144→\tres, err := r.DB.Exec(\n   145→\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n   146→\t\tcacheID)\n   147→\tif err != nil {\n   148→\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n   149→\t}\n   150→\n   151→\tnewID, err := res.LastInsertId()\n   152→\tif err != nil {\n   153→\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n   154→\t}\n   155→\n   156→\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n   157→\tif err != nil {\n   158→\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n   159→\t}\n   160→\n   161→\treturn newID, nil\n   162→}\n   163→\n   164→// Start inserts a new job in the table, returning the unique job ID.\n   165→// Statistics are not transfered!\n   166→func (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n   167→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   168→\tif err != nil {\n   169→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n   170→\t}\n   171→\n   172→\tjob.RawResources, err = json.Marshal(job.Resources)\n   173→\tif err != nil {\n   174→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n   175→\t}\n   176→\n   177→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n   178→\tif err != nil {\n   179→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n   180→\t}\n   181→\n   182→\treturn r.InsertJob(job)\n   183→}\n   184→\n   185→// StartDirect inserts a new job directly into the job table (not job_cache).\n   186→// Use this when the returned ID will immediately be used for job table\n   187→// operations such as adding tags.\n   188→func (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n   189→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   190→\tif err != nil {\n   191→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n   192→\t}\n   193→\n   194→\tjob.RawResources, err = json.Marshal(job.Resources)\n   195→\tif err != nil {\n   196→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n   197→\t}\n   198→\n   199→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n   200→\tif err != nil {\n   201→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n   202→\t}\n   203→\n   204→\treturn r.InsertJobDirect(job)\n   205→}\n   206→\n   207→// Stop updates the job with the database id jobId using the provided arguments.\n   208→func (r *JobRepository) Stop(\n   209→\tjobID int64,\n   210→\tduration int32,\n   211→\tstate schema.JobState,\n   212→\tmonitoringStatus int32,\n   213→) (err error) {\n   214→\t// Invalidate cache entries as job state is changing\n   215→\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n   216→\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n   217→\n   218→\tstmt := sq.Update(\"job\").\n   219→\t\tSet(\"job_state\", state).\n   220→\t\tSet(\"duration\", duration).\n   221→\t\tSet(\"monitoring_status\", monitoringStatus).\n   222→\t\tWhere(\"job.id = ?\", jobID)\n   223→\n   224→\t_, err = stmt.RunWith(r.stmtCache).Exec()\n   225→\treturn err\n   226→}\n   227→"}]},"uuid":"758b9b9e-bfd8-46c1-a469-bede6913e6c5","timestamp":"2026-03-16T10:18:54.899Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"ad475ca1-30c3-49f7-9995-aa4bdf96ea9e","timestamp":"2026-03-16T10:18:55.097Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"6982164d-b24f-4e35-89a8-341592893f04","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01X1wWyRjNqL5ZvzQvFVYAUx","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"encoding/json\"\n    10→\t\"fmt\"\n    11→\t\"os\"\n    12→\t\"path/filepath\"\n    13→\t\"strconv\"\n    14→\t\"strings\"\n    15→\t\"time\"\n    16→\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\tpqarchive \"github.com/ClusterCockpit/cc-backend/pkg/archive/parquet\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→\t\"github.com/go-co-op/gocron/v2\"\n    22→)\n    23→\n    24→// createParquetTarget creates a ParquetTarget (file or S3) from the retention config.\n    25→func createParquetTarget(cfg Retention) (pqarchive.ParquetTarget, error) {\n    26→\tswitch cfg.TargetKind {\n    27→\tcase \"s3\":\n    28→\t\treturn pqarchive.NewS3Target(pqarchive.S3TargetConfig{\n    29→\t\t\tEndpoint:     cfg.TargetEndpoint,\n    30→\t\t\tBucket:       cfg.TargetBucket,\n    31→\t\t\tAccessKey:    cfg.TargetAccessKey,\n    32→\t\t\tSecretKey:    cfg.TargetSecretKey,\n    33→\t\t\tRegion:       cfg.TargetRegion,\n    34→\t\t\tUsePathStyle: cfg.TargetUsePathStyle,\n    35→\t\t})\n    36→\tdefault:\n    37→\t\treturn pqarchive.NewFileTarget(cfg.TargetPath)\n    38→\t}\n    39→}\n    40→\n    41→// createTargetBackend creates a secondary archive backend (file or S3) for JSON copy/move.\n    42→func createTargetBackend(cfg Retention) (archive.ArchiveBackend, error) {\n    43→\tvar raw json.RawMessage\n    44→\tvar err error\n    45→\n    46→\tswitch cfg.TargetKind {\n    47→\tcase \"s3\":\n    48→\t\traw, err = json.Marshal(map[string]any{\n    49→\t\t\t\"kind\":           \"s3\",\n    50→\t\t\t\"endpoint\":       cfg.TargetEndpoint,\n    51→\t\t\t\"bucket\":         cfg.TargetBucket,\n    52→\t\t\t\"access-key\":     cfg.TargetAccessKey,\n    53→\t\t\t\"secret-key\":     cfg.TargetSecretKey,\n    54→\t\t\t\"region\":         cfg.TargetRegion,\n    55→\t\t\t\"use-path-style\": cfg.TargetUsePathStyle,\n    56→\t\t})\n    57→\tdefault:\n    58→\t\traw, err = json.Marshal(map[string]string{\n    59→\t\t\t\"kind\": \"file\",\n    60→\t\t\t\"path\": cfg.TargetPath,\n    61→\t\t})\n    62→\t}\n    63→\tif err != nil {\n    64→\t\treturn nil, fmt.Errorf(\"marshal target config: %w\", err)\n    65→\t}\n    66→\treturn archive.InitBackend(raw)\n    67→}\n    68→\n    69→// transferJobsJSON copies job data from source archive to target backend in JSON format.\n    70→func transferJobsJSON(jobs []*schema.Job, src archive.ArchiveBackend, dst archive.ArchiveBackend) error {\n    71→\t// Transfer cluster configs for all clusters referenced by jobs\n    72→\tclustersDone := make(map[string]bool)\n    73→\tfor _, job := range jobs {\n    74→\t\tif clustersDone[job.Cluster] {\n    75→\t\t\tcontinue\n    76→\t\t}\n    77→\t\tclusterCfg, err := src.LoadClusterCfg(job.Cluster)\n    78→\t\tif err != nil {\n    79→\t\t\tcclog.Warnf(\"Retention: load cluster config %q: %v\", job.Cluster, err)\n    80→\t\t} else {\n    81→\t\t\tif err := dst.StoreClusterCfg(job.Cluster, clusterCfg); err != nil {\n    82→\t\t\t\tcclog.Warnf(\"Retention: store cluster config %q: %v\", job.Cluster, err)\n    83→\t\t\t}\n    84→\t\t}\n    85→\t\tclustersDone[job.Cluster] = true\n    86→\t}\n    87→\n    88→\tfor _, job := range jobs {\n    89→\t\tmeta, err := src.LoadJobMeta(job)\n    90→\t\tif err != nil {\n    91→\t\t\tcclog.Warnf(\"Retention: load meta for job %d: %v\", job.JobID, err)\n    92→\t\t\tcontinue\n    93→\t\t}\n    94→\t\tdata, err := src.LoadJobData(job)\n    95→\t\tif err != nil {\n    96→\t\t\tcclog.Warnf(\"Retention: load data for job %d: %v\", job.JobID, err)\n    97→\t\t\tcontinue\n    98→\t\t}\n    99→\t\tif err := dst.ImportJob(meta, &data); err != nil {\n   100→\t\t\tcclog.Warnf(\"Retention: import job %d: %v\", job.JobID, err)\n   101→\t\t\tcontinue\n   102→\t\t}\n   103→\t}\n   104→\treturn nil\n   105→}\n   106→\n   107→// transferJobsParquet converts jobs to Parquet format, organized by cluster.\n   108→func transferJobsParquet(jobs []*schema.Job, src archive.ArchiveBackend, target pqarchive.ParquetTarget, maxSizeMB int) error {\n   109→\tcw := pqarchive.NewClusterAwareParquetWriter(target, maxSizeMB)\n   110→\n   111→\t// Set cluster configs for all clusters referenced by jobs\n   112→\tclustersDone := make(map[string]bool)\n   113→\tfor _, job := range jobs {\n   114→\t\tif clustersDone[job.Cluster] {\n   115→\t\t\tcontinue\n   116→\t\t}\n   117→\t\tclusterCfg, err := src.LoadClusterCfg(job.Cluster)\n   118→\t\tif err != nil {\n   119→\t\t\tcclog.Warnf(\"Retention: load cluster config %q: %v\", job.Cluster, err)\n   120→\t\t} else {\n   121→\t\t\tcw.SetClusterConfig(job.Cluster, clusterCfg)\n   122→\t\t}\n   123→\t\tclustersDone[job.Cluster] = true\n   124→\t}\n   125→\n   126→\tfor _, job := range jobs {\n   127→\t\tmeta, err := src.LoadJobMeta(job)\n   128→\t\tif err != nil {\n   129→\t\t\tcclog.Warnf(\"Retention: load meta for job %d: %v\", job.JobID, err)\n   130→\t\t\tcontinue\n   131→\t\t}\n   132→\t\tdata, err := src.LoadJobData(job)\n   133→\t\tif err != nil {\n   134→\t\t\tcclog.Warnf(\"Retention: load data for job %d: %v\", job.JobID, err)\n   135→\t\t\tcontinue\n   136→\t\t}\n   137→\t\trow, err := pqarchive.JobToParquetRow(meta, &data)\n   138→\t\tif err != nil {\n   139→\t\t\tcclog.Warnf(\"Retention: convert job %d: %v\", job.JobID, err)\n   140→\t\t\tcontinue\n   141→\t\t}\n   142→\t\tif err := cw.AddJob(*row); err != nil {\n   143→\t\t\tcclog.Errorf(\"Retention: add job %d to writer: %v\", job.JobID, err)\n   144→\t\t\tcontinue\n   145→\t\t}\n   146→\t}\n   147→\n   148→\treturn cw.Close()\n   149→}\n   150→\n   151→// cleanupAfterTransfer removes jobs from archive and optionally from DB.\n   152→func cleanupAfterTransfer(jobs []*schema.Job, startTime int64, includeDB bool, omitTagged string) {\n   153→\tarchive.GetHandle().CleanUp(jobs)\n   154→\n   155→\tif includeDB {\n   156→\t\tcnt, err := jobRepo.DeleteJobsBefore(startTime, omitTagged)\n   157→\t\tif err != nil {\n   158→\t\t\tcclog.Errorf(\"Retention: delete jobs from db: %v\", err)\n   159→\t\t} else {\n   160→\t\t\tcclog.Infof(\"Retention: removed %d jobs from db\", cnt)\n   161→\t\t}\n   162→\t\tif err = jobRepo.Optimize(); err != nil {\n   163→\t\t\tcclog.Errorf(\"Retention: db optimization error: %v\", err)\n   164→\t\t}\n   165→\t}\n   166→}\n   167→\n   168→// readCopyMarker reads the last-processed timestamp from a copy marker file.\n   169→func readCopyMarker(cfg Retention) int64 {\n   170→\tvar data []byte\n   171→\tvar err error\n   172→\n   173→\tswitch cfg.TargetKind {\n   174→\tcase \"s3\":\n   175→\t\t// For S3 we store the marker locally alongside the config\n   176→\t\tdata, err = os.ReadFile(copyMarkerPath(cfg))\n   177→\tdefault:\n   178→\t\tdata, err = os.ReadFile(filepath.Join(cfg.TargetPath, \".copy-marker\"))\n   179→\t}\n   180→\tif err != nil {\n   181→\t\treturn 0\n   182→\t}\n   183→\tts, err := strconv.ParseInt(strings.TrimSpace(string(data)), 10, 64)\n   184→\tif err != nil {\n   185→\t\treturn 0\n   186→\t}\n   187→\treturn ts\n   188→}\n   189→\n   190→// writeCopyMarker writes the last-processed timestamp to a copy marker file.\n   191→func writeCopyMarker(cfg Retention, ts int64) {\n   192→\tcontent := []byte(strconv.FormatInt(ts, 10))\n   193→\tvar err error\n   194→\n   195→\tswitch cfg.TargetKind {\n   196→\tcase \"s3\":\n   197→\t\terr = os.WriteFile(copyMarkerPath(cfg), content, 0o640)\n   198→\tdefault:\n   199→\t\terr = os.WriteFile(filepath.Join(cfg.TargetPath, \".copy-marker\"), content, 0o640)\n   200→\t}\n   201→\tif err != nil {\n   202→\t\tcclog.Warnf(\"Retention: write copy marker: %v\", err)\n   203→\t}\n   204→}\n   205→\n   206→func copyMarkerPath(cfg Retention) string {\n   207→\t// For S3 targets, store the marker in a local temp-style path derived from the bucket name\n   208→\treturn filepath.Join(os.TempDir(), fmt.Sprintf(\"cc-copy-marker-%s\", cfg.TargetBucket))\n   209→}\n   210→\n   211→func RegisterRetentionDeleteService(cfg Retention) {\n   212→\tcclog.Info(\"Register retention delete service\")\n   213→\n   214→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(3, 0, 0))),\n   215→\t\tgocron.NewTask(\n   216→\t\t\tfunc() {\n   217→\t\t\t\tstartTime := time.Now().Unix() - int64(cfg.Age*24*3600)\n   218→\t\t\t\tjobs, err := jobRepo.FindJobsBetween(0, startTime, cfg.OmitTagged)\n   219→\t\t\t\tif err != nil {\n   220→\t\t\t\t\tcclog.Warnf(\"Retention delete: error finding jobs: %v\", err)\n   221→\t\t\t\t\treturn\n   222→\t\t\t\t}\n   223→\t\t\t\tif len(jobs) == 0 {\n   224→\t\t\t\t\treturn\n   225→\t\t\t\t}\n   226→\n   227→\t\t\t\tcclog.Infof(\"Retention delete: processing %d jobs\", len(jobs))\n   228→\t\t\t\tcleanupAfterTransfer(jobs, startTime, cfg.IncludeDB, cfg.OmitTagged)\n   229→\t\t\t}))\n   230→}\n   231→\n   232→func RegisterRetentionCopyService(cfg Retention) {\n   233→\tcclog.Infof(\"Register retention copy service (format=%s, target=%s)\", cfg.Format, cfg.TargetKind)\n   234→\n   235→\tmaxFileSizeMB := cfg.MaxFileSizeMB\n   236→\tif maxFileSizeMB <= 0 {\n   237→\t\tmaxFileSizeMB = 512\n   238→\t}\n   239→\n   240→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(4, 0, 0))),\n   241→\t\tgocron.NewTask(\n   242→\t\t\tfunc() {\n   243→\t\t\t\tcutoff := time.Now().Unix() - int64(cfg.Age*24*3600)\n   244→\t\t\t\tlastProcessed := readCopyMarker(cfg)\n   245→\n   246→\t\t\t\tjobs, err := jobRepo.FindJobsBetween(lastProcessed, cutoff, cfg.OmitTagged)\n   247→\t\t\t\tif err != nil {\n   248→\t\t\t\t\tcclog.Warnf(\"Retention copy: error finding jobs: %v\", err)\n   249→\t\t\t\t\treturn\n   250→\t\t\t\t}\n   251→\t\t\t\tif len(jobs) == 0 {\n   252→\t\t\t\t\treturn\n   253→\t\t\t\t}\n   254→\n   255→\t\t\t\tcclog.Infof(\"Retention copy: processing %d jobs\", len(jobs))\n   256→\t\t\t\tar := archive.GetHandle()\n   257→\n   258→\t\t\t\tswitch cfg.Format {\n   259→\t\t\t\tcase \"parquet\":\n   260→\t\t\t\t\ttarget, err := createParquetTarget(cfg)\n   261→\t\t\t\t\tif err != nil {\n   262→\t\t\t\t\t\tcclog.Errorf(\"Retention copy: create parquet target: %v\", err)\n   263→\t\t\t\t\t\treturn\n   264→\t\t\t\t\t}\n   265→\t\t\t\t\tif err := transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\n   266→\t\t\t\t\t\tcclog.Errorf(\"Retention copy: parquet transfer: %v\", err)\n   267→\t\t\t\t\t\treturn\n   268→\t\t\t\t\t}\n   269→\t\t\t\tdefault: // json\n   270→\t\t\t\t\tdst, err := createTargetBackend(cfg)\n   271→\t\t\t\t\tif err != nil {\n   272→\t\t\t\t\t\tcclog.Errorf(\"Retention copy: create target backend: %v\", err)\n   273→\t\t\t\t\t\treturn\n   274→\t\t\t\t\t}\n   275→\t\t\t\t\tif err := transferJobsJSON(jobs, ar, dst); err != nil {\n   276→\t\t\t\t\t\tcclog.Errorf(\"Retention copy: json transfer: %v\", err)\n   277→\t\t\t\t\t\treturn\n   278→\t\t\t\t\t}\n   279→\t\t\t\t}\n   280→\n   281→\t\t\t\twriteCopyMarker(cfg, cutoff)\n   282→\t\t\t}))\n   283→}\n   284→\n   285→func RegisterRetentionMoveService(cfg Retention) {\n   286→\tcclog.Infof(\"Register retention move service (format=%s, target=%s)\", cfg.Format, cfg.TargetKind)\n   287→\n   288→\tmaxFileSizeMB := cfg.MaxFileSizeMB\n   289→\tif maxFileSizeMB <= 0 {\n   290→\t\tmaxFileSizeMB = 512\n   291→\t}\n   292→\n   293→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(5, 0, 0))),\n   294→\t\tgocron.NewTask(\n   295→\t\t\tfunc() {\n   296→\t\t\t\tstartTime := time.Now().Unix() - int64(cfg.Age*24*3600)\n   297→\t\t\t\tjobs, err := jobRepo.FindJobsBetween(0, startTime, cfg.OmitTagged)\n   298→\t\t\t\tif err != nil {\n   299→\t\t\t\t\tcclog.Warnf(\"Retention move: error finding jobs: %v\", err)\n   300→\t\t\t\t\treturn\n   301→\t\t\t\t}\n   302→\t\t\t\tif len(jobs) == 0 {\n   303→\t\t\t\t\treturn\n   304→\t\t\t\t}\n   305→\n   306→\t\t\t\tcclog.Infof(\"Retention move: processing %d jobs\", len(jobs))\n   307→\t\t\t\tar := archive.GetHandle()\n   308→\n   309→\t\t\t\tswitch cfg.Format {\n   310→\t\t\t\tcase \"parquet\":\n   311→\t\t\t\t\ttarget, err := createParquetTarget(cfg)\n   312→\t\t\t\t\tif err != nil {\n   313→\t\t\t\t\t\tcclog.Errorf(\"Retention move: create parquet target: %v\", err)\n   314→\t\t\t\t\t\treturn\n   315→\t\t\t\t\t}\n   316→\t\t\t\t\tif err := transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\n   317→\t\t\t\t\t\tcclog.Errorf(\"Retention move: parquet transfer: %v\", err)\n   318→\t\t\t\t\t\treturn\n   319→\t\t\t\t\t}\n   320→\t\t\t\tdefault: // json\n   321→\t\t\t\t\tdst, err := createTargetBackend(cfg)\n   322→\t\t\t\t\tif err != nil {\n   323→\t\t\t\t\t\tcclog.Errorf(\"Retention move: create target backend: %v\", err)\n   324→\t\t\t\t\t\treturn\n   325→\t\t\t\t\t}\n   326→\t\t\t\t\tif err := transferJobsJSON(jobs, ar, dst); err != nil {\n   327→\t\t\t\t\t\tcclog.Errorf(\"Retention move: json transfer: %v\", err)\n   328→\t\t\t\t\t\treturn\n   329→\t\t\t\t\t}\n   330→\t\t\t\t}\n   331→\n   332→\t\t\t\tcleanupAfterTransfer(jobs, startTime, cfg.IncludeDB, cfg.OmitTagged)\n   333→\t\t\t}))\n   334→}\n   335→"}]},"uuid":"4ce7a245-5605-466c-805e-7afe98a3455e","timestamp":"2026-03-16T10:18:55.266Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"55872396-17aa-4333-950b-7dac1e007190","timestamp":"2026-03-16T10:18:55.267Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"cc02a4e2-04b8-472c-a560-3896dafebd9f","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XoMSQBVzkgXnMoE3wdHsWF","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package archiver provides asynchronous job archiving functionality for ClusterCockpit.\n     7→//\n     8→// The archiver runs a background worker goroutine that processes job archiving requests\n     9→// from a buffered channel. When jobs complete, their metric data is archived from the\n    10→// metric store to the configured archive backend (filesystem, S3, etc.).\n    11→//\n    12→// # Architecture\n    13→//\n    14→// The archiver uses a producer-consumer pattern:\n    15→//   - Producer: TriggerArchiving() sends jobs to archiveChannel\n    16→//   - Consumer: archivingWorker() processes jobs from the channel\n    17→//   - Coordination: sync.WaitGroup tracks pending archive operations\n    18→//\n    19→// # Lifecycle\n    20→//\n    21→//  1. Start(repo, ctx) - Initialize worker with context for cancellation\n    22→//  2. TriggerArchiving(job) - Queue job for archiving (called when job stops)\n    23→//  3. archivingWorker() - Background goroutine processes jobs\n    24→//  4. Shutdown(timeout) - Graceful shutdown with timeout\n    25→//\n    26→// # Graceful Shutdown\n    27→//\n    28→// The archiver supports graceful shutdown with configurable timeout:\n    29→//   - Closes channel to reject new jobs\n    30→//   - Waits for pending jobs to complete (up to timeout)\n    31→//   - Cancels context if timeout exceeded\n    32→//   - Ensures worker goroutine exits cleanly\n    33→//\n    34→// # Example Usage\n    35→//\n    36→//\t// Initialize archiver\n    37→//\tctx, cancel := context.WithCancel(context.Background())\n    38→//\tdefer cancel()\n    39→//\tarchiver.Start(jobRepository, ctx)\n    40→//\n    41→//\t// Trigger archiving when job completes\n    42→//\tarchiver.TriggerArchiving(job)\n    43→//\n    44→//\t// Graceful shutdown with 10 second timeout\n    45→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n    46→//\t    log.Printf(\"Archiver shutdown timeout: %v\", err)\n    47→//\t}\n    48→package archiver\n    49→\n    50→import (\n    51→\t\"context\"\n    52→\t\"fmt\"\n    53→\t\"sync\"\n    54→\t\"time\"\n    55→\n    56→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    57→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    58→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    59→\tsq \"github.com/Masterminds/squirrel\"\n    60→)\n    61→\n    62→var (\n    63→\tarchivePending sync.WaitGroup\n    64→\tarchiveChannel chan *schema.Job\n    65→\tjobRepo        *repository.JobRepository\n    66→\tshutdownCtx    context.Context\n    67→\tshutdownCancel context.CancelFunc\n    68→\tworkerDone     chan struct{}\n    69→)\n    70→\n    71→// Start initializes the archiver and starts the background worker goroutine.\n    72→//\n    73→// The archiver processes job archiving requests asynchronously via a buffered channel.\n    74→// Jobs are sent to the channel using TriggerArchiving() and processed by the worker.\n    75→//\n    76→// Parameters:\n    77→//   - r: JobRepository instance for database operations\n    78→//   - ctx: Context for cancellation (shutdown signal propagation)\n    79→//\n    80→// The worker goroutine will run until:\n    81→//   - ctx is cancelled (via parent shutdown)\n    82→//   - archiveChannel is closed (via Shutdown())\n    83→//\n    84→// Must be called before TriggerArchiving(). Safe to call only once.\n    85→func Start(r *repository.JobRepository, ctx context.Context) {\n    86→\tshutdownCtx, shutdownCancel = context.WithCancel(ctx)\n    87→\tarchiveChannel = make(chan *schema.Job, 128)\n    88→\tworkerDone = make(chan struct{})\n    89→\tjobRepo = r\n    90→\n    91→\tgo archivingWorker()\n    92→}\n    93→\n    94→// archivingWorker is the background goroutine that processes job archiving requests.\n    95→//\n    96→// The worker loop:\n    97→//  1. Blocks waiting for jobs on archiveChannel or shutdown signal\n    98→//  2. Fetches job metadata from repository\n    99→//  3. Archives job data to configured backend (calls ArchiveJob)\n   100→//  4. Updates job footprint and energy metrics in database\n   101→//  5. Marks job as successfully archived\n   102→//  6. Calls job stop hooks\n   103→//\n   104→// The worker exits when:\n   105→//   - shutdownCtx is cancelled (timeout during shutdown)\n   106→//   - archiveChannel is closed (normal shutdown)\n   107→//\n   108→// Errors during archiving are logged and the job is marked as failed,\n   109→// but the worker continues processing other jobs.\n   110→func archivingWorker() {\n   111→\tdefer close(workerDone)\n   112→\n   113→\tfor {\n   114→\t\tselect {\n   115→\t\tcase <-shutdownCtx.Done():\n   116→\t\t\tcclog.Info(\"Archive worker received shutdown signal\")\n   117→\t\t\treturn\n   118→\n   119→\t\tcase job, ok := <-archiveChannel:\n   120→\t\t\tif !ok {\n   121→\t\t\t\tcclog.Info(\"Archive channel closed, worker exiting\")\n   122→\t\t\t\treturn\n   123→\t\t\t}\n   124→\n   125→\t\t\tstart := time.Now()\n   126→\t\t\t// not using meta data, called to load JobMeta into Cache?\n   127→\t\t\t// will fail if job meta not in repository\n   128→\t\t\tif _, err := jobRepo.FetchMetadata(job); err != nil {\n   129→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at check metadata step: %s\", *job.ID, err.Error())\n   130→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n   131→\t\t\t\tarchivePending.Done()\n   132→\t\t\t\tcontinue\n   133→\t\t\t}\n   134→\n   135→\t\t\t// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend\n   136→\t\t\t// Use shutdown context to allow cancellation\n   137→\t\t\tjobMeta, err := ArchiveJob(job, shutdownCtx)\n   138→\t\t\tif err != nil {\n   139→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at archiving job step: %s\", *job.ID, err.Error())\n   140→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n   141→\t\t\t\tarchivePending.Done()\n   142→\t\t\t\tcontinue\n   143→\t\t\t}\n   144→\n   145→\t\t\tstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\n   146→\n   147→\t\t\tif stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {\n   148→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Footprint step: %s\", *job.ID, err.Error())\n   149→\t\t\t\tarchivePending.Done()\n   150→\t\t\t\tcontinue\n   151→\t\t\t}\n   152→\t\t\tif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta); err != nil {\n   153→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Energy step: %s\", *job.ID, err.Error())\n   154→\t\t\t\tarchivePending.Done()\n   155→\t\t\t\tcontinue\n   156→\t\t\t}\n   157→\t\t\t// Update the jobs database entry one last time:\n   158→\t\t\tstmt = jobRepo.MarkArchived(stmt, schema.MonitoringStatusArchivingSuccessful)\n   159→\t\t\tif err := jobRepo.Execute(stmt); err != nil {\n   160→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at db execute: %s\", *job.ID, err.Error())\n   161→\t\t\t\tarchivePending.Done()\n   162→\t\t\t\tcontinue\n   163→\t\t\t}\n   164→\t\t\tcclog.Debugf(\"archiving job %d took %s\", job.JobID, time.Since(start))\n   165→\t\t\tcclog.Infof(\"archiving job (dbid: %d) successful\", *job.ID)\n   166→\n   167→\t\t\trepository.CallJobStopHooks(job)\n   168→\t\t\tarchivePending.Done()\n   169→\t\t}\n   170→\t}\n   171→}\n   172→\n   173→// TriggerArchiving queues a job for asynchronous archiving.\n   174→//\n   175→// This function should be called when a job completes (stops) to archive its\n   176→// metric data from the metric store to the configured archive backend.\n   177→//\n   178→// The function:\n   179→//  1. Increments the pending job counter (WaitGroup)\n   180→//  2. Sends the job to the archiving channel (buffered, capacity 128)\n   181→//  3. Returns immediately (non-blocking unless channel is full)\n   182→//\n   183→// The actual archiving is performed asynchronously by the worker goroutine.\n   184→// Upon completion, the worker will decrement the pending counter.\n   185→//\n   186→// Panics if Start() has not been called first.\n   187→func TriggerArchiving(job *schema.Job) {\n   188→\tif archiveChannel == nil {\n   189→\t\tcclog.Fatal(\"Cannot archive without archiving channel. Did you Start the archiver?\")\n   190→\t}\n   191→\n   192→\tarchivePending.Add(1)\n   193→\tarchiveChannel <- job\n   194→}\n   195→\n   196→// Shutdown performs a graceful shutdown of the archiver with a configurable timeout.\n   197→//\n   198→// The shutdown process:\n   199→//  1. Closes archiveChannel - no new jobs will be accepted\n   200→//  2. Waits for pending jobs to complete (up to timeout duration)\n   201→//  3. If timeout is exceeded:\n   202→//     - Cancels shutdownCtx to interrupt ongoing ArchiveJob operations\n   203→//     - Returns error indicating timeout\n   204→//  4. Waits for worker goroutine to exit cleanly\n   205→//\n   206→// Parameters:\n   207→//   - timeout: Maximum duration to wait for pending jobs to complete\n   208→//     (recommended: 10-30 seconds for production)\n   209→//\n   210→// Returns:\n   211→//   - nil if all jobs completed within timeout\n   212→//   - error if timeout was exceeded (some jobs may not have been archived)\n   213→//\n   214→// Jobs that don't complete within the timeout will be marked as failed.\n   215→// The function always ensures the worker goroutine exits before returning.\n   216→//\n   217→// Example:\n   218→//\n   219→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n   220→//\t    log.Printf(\"Some jobs did not complete: %v\", err)\n   221→//\t}\n   222→func Shutdown(timeout time.Duration) error {\n   223→\tcclog.Info(\"Initiating archiver shutdown...\")\n   224→\n   225→\t// Close channel to signal no more jobs will be accepted\n   226→\tclose(archiveChannel)\n   227→\n   228→\t// Create a channel to signal when all jobs are done\n   229→\tdone := make(chan struct{})\n   230→\tgo func() {\n   231→\t\tarchivePending.Wait()\n   232→\t\tclose(done)\n   233→\t}()\n   234→\n   235→\t// Wait for jobs to complete or timeout\n   236→\tselect {\n   237→\tcase <-done:\n   238→\t\tcclog.Info(\"All archive jobs completed successfully\")\n   239→\t\t// Wait for worker to exit\n   240→\t\t<-workerDone\n   241→\t\treturn nil\n   242→\tcase <-time.After(timeout):\n   243→\t\tcclog.Warn(\"Archiver shutdown timeout exceeded, cancelling remaining operations\")\n   244→\t\t// Cancel any ongoing operations\n   245→\t\tshutdownCancel()\n   246→\t\t// Wait for worker to exit\n   247→\t\t<-workerDone\n   248→\t\treturn fmt.Errorf(\"archiver shutdown timeout after %v\", timeout)\n   249→\t}\n   250→}\n   251→"}]},"uuid":"405ee9d5-6fd9-4bdf-bc8f-17596319c6ae","timestamp":"2026-03-16T10:18:55.304Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"b8c361a6-e42e-4f96-890f-e5833e6b9a23","timestamp":"2026-03-16T10:18:55.305Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"b8c361a6-e42e-4f96-890f-e5833e6b9a23","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JCpxD2KwaECyWX3YUBodAj","type":"tool_result","content":"<persisted-output>\nOutput too large (49.5KB). Full output saved to: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/3a41c7a4-abf8-484b-96ae-ee5618eea5ba/tool-results/REDACTED.txt\n\nPreview (first 2KB):\n     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package repository provides the data access layer for cc-backend using the repository pattern.\n     7→//\n     8→// The repository pattern abstracts database operations and provides a clean interface for\n     9→// data access. Each major entity (Job, User, Node, Tag) has its own repository with CRUD\n    10→// operations and specialized queries.\n    11→//\n    12→// # Database Connection\n    13→//\n    14→// Initialize the database connection before using any repository:\n    15→//\n    16→//\trepository.Connect(\"sqlite3\", \"./var/job.db\")\n    17→//\n    18→// # Configuration\n    19→//\n    20→// Optional: Configure repository settings before initialization:\n    21→//\n    22→//\trepository.SetConfig(&repository.RepositoryConfig{\n    23→//\t    CacheSize: 2 * 1024 * 1024,     // 2MB cache\n    24→//\t    MaxOpenConnections: 8,           // Connection pool size\n    25→//\t    MinRunningJobDuration: 300,      // Filter threshold\n    26→//\t})\n    27→//\n    28→// If not configured, sensible defaults are used automatically.\n    29→//\n    30→// # Repositories\n    31→//\n    32→//   - JobRepository: Job lifecycle management and querying\n    33→//   - UserRepository: User management and authentication\n    34→//   - NodeRepository: Cluster node state tracking\n    35→//   - Tags: Job tagging and categorization\n    36→//\n    37→// # Caching\n    38→//\n    39→// Repositories use LRU caching to improve performance. Cache keys are constructed\n    40→// as \"type:id\" (e.g., \"metadata:123\"). Cache is automatically invalidated on\n    41→// mutations to maintain consistency.\n    42→//\n    43→// # Transaction Support\n    44→//\n    45→// For batch operations, use transactions:\n    46→//\n    47→//\tt, err := jobRepo.TransactionInit()\n...\n</persisted-output>"}]},"uuid":"089401ce-0cb2-4e92-9555-abb914967adc","timestamp":"2026-03-16T10:18:55.322Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"f9e51b3f-c195-4177-ba1e-58db969e5f67","timestamp":"2026-03-16T10:18:55.323Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"fd320a15-6ab3-4edb-aff6-f0c9b486e533","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MQZmsnjqdmpxaaVKffBkSj","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"time\"\n    10→\n    11→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    14→\t\"github.com/go-co-op/gocron/v2\"\n    15→)\n    16→\n    17→func RegisterCompressionService(compressOlderThan int) {\n    18→\tcclog.Info(\"Register compression service\")\n    19→\n    20→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(5, 0, 0))),\n    21→\t\tgocron.NewTask(\n    22→\t\t\tfunc() {\n    23→\t\t\t\tvar jobs []*schema.Job\n    24→\t\t\t\tvar err error\n    25→\n    26→\t\t\t\tar := archive.GetHandle()\n    27→\t\t\t\tstartTime := time.Now().Unix() - int64(compressOlderThan*24*3600)\n    28→\t\t\t\tlastTime := ar.CompressLast(startTime)\n    29→\t\t\t\tif startTime == lastTime {\n    30→\t\t\t\t\tcclog.Info(\"Compression Service - Complete archive run\")\n    31→\t\t\t\t\tjobs, err = jobRepo.FindJobsBetween(0, startTime, \"none\")\n    32→\n    33→\t\t\t\t} else {\n    34→\t\t\t\t\tjobs, err = jobRepo.FindJobsBetween(lastTime, startTime, \"none\")\n    35→\t\t\t\t}\n    36→\n    37→\t\t\t\tif err != nil {\n    38→\t\t\t\t\tcclog.Warnf(\"Error while looking for compression jobs: %v\", err)\n    39→\t\t\t\t}\n    40→\t\t\t\tar.Compress(jobs)\n    41→\t\t\t}))\n    42→}\n    43→"}]},"uuid":"e8f53165-482b-4703-b747-9a21f952a933","timestamp":"2026-03-16T10:18:55.473Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"259bf582-dfdb-4a76-8d93-f5f999fa200a","timestamp":"2026-03-16T10:18:55.856Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"3cffaa12-8024-4952-893e-b91413d32eab","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013M6BNThre3DTv4Hwsj2Tcm","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"time\"\n    10→\n    11→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n    12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    13→\t\"github.com/go-co-op/gocron/v2\"\n    14→)\n    15→\n    16→func RegisterLdapSyncService(ds string) {\n    17→\tinterval, err := parseDuration(ds)\n    18→\tif err != nil {\n    19→\t\tcclog.Warnf(\"Could not parse duration for sync interval: %v\",\n    20→\t\t\tds)\n    21→\t\treturn\n    22→\t}\n    23→\n    24→\tauth := auth.GetAuthInstance()\n    25→\n    26→\tcclog.Infof(\"register ldap sync service with %s interval\", ds)\n    27→\n    28→\ts.NewJob(gocron.DurationJob(interval),\n    29→\t\tgocron.NewTask(\n    30→\t\t\tfunc() {\n    31→\t\t\t\tt := time.Now()\n    32→\t\t\t\tcclog.Infof(\"ldap sync started at %s\", t.Format(time.RFC3339))\n    33→\t\t\t\tif err := auth.LdapAuth.Sync(); err != nil {\n    34→\t\t\t\t\tcclog.Errorf(\"ldap sync failed: %s\", err.Error())\n    35→\t\t\t\t}\n    36→\t\t\t}))\n    37→}\n    38→"}]},"uuid":"1c60d702-e4b8-4cc4-ace0-ddc6515334ec","timestamp":"2026-03-16T10:18:55.874Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"2e01ca70-cb4a-4b2d-912e-798a03edb39b","timestamp":"2026-03-16T10:18:55.996Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"59f93677-f986-4c75-b29e-521a1699c568","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018XBW6RLSbwQd7oRNJo45a6","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"time\"\n    10→\n    11→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    12→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    13→\tpqarchive \"github.com/ClusterCockpit/cc-backend/pkg/archive/parquet\"\n    14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    15→\t\"github.com/go-co-op/gocron/v2\"\n    16→)\n    17→\n    18→func RegisterNodeStateRetentionDeleteService(ageHours int) {\n    19→\tcclog.Info(\"Register node state retention delete service\")\n    20→\n    21→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(2, 0, 0))),\n    22→\t\tgocron.NewTask(\n    23→\t\t\tfunc() {\n    24→\t\t\t\tcutoff := time.Now().Unix() - int64(ageHours*3600)\n    25→\t\t\t\tnodeRepo := repository.GetNodeRepository()\n    26→\t\t\t\tcnt, err := nodeRepo.DeleteNodeStatesBefore(cutoff)\n    27→\t\t\t\tif err != nil {\n    28→\t\t\t\t\tcclog.Errorf(\"NodeState retention: error deleting old rows: %v\", err)\n    29→\t\t\t\t} else if cnt > 0 {\n    30→\t\t\t\t\tcclog.Infof(\"NodeState retention: deleted %d old rows\", cnt)\n    31→\t\t\t\t}\n    32→\t\t\t}))\n    33→}\n    34→\n    35→func RegisterNodeStateRetentionMoveService(cfg *config.NodeStateRetention) {\n    36→\tcclog.Info(\"Register node state retention move service\")\n    37→\n    38→\tmaxFileSizeMB := cfg.MaxFileSizeMB\n    39→\tif maxFileSizeMB <= 0 {\n    40→\t\tmaxFileSizeMB = 128\n    41→\t}\n    42→\n    43→\tageHours := cfg.Age\n    44→\tif ageHours <= 0 {\n    45→\t\tageHours = 24\n    46→\t}\n    47→\n    48→\tvar target pqarchive.ParquetTarget\n    49→\tvar err error\n    50→\n    51→\tswitch cfg.TargetKind {\n    52→\tcase \"s3\":\n    53→\t\ttarget, err = pqarchive.NewS3Target(pqarchive.S3TargetConfig{\n    54→\t\t\tEndpoint:     cfg.TargetEndpoint,\n    55→\t\t\tBucket:       cfg.TargetBucket,\n    56→\t\t\tAccessKey:    cfg.TargetAccessKey,\n    57→\t\t\tSecretKey:    cfg.TargetSecretKey,\n    58→\t\t\tRegion:       cfg.TargetRegion,\n    59→\t\t\tUsePathStyle: cfg.TargetUsePathStyle,\n    60→\t\t})\n    61→\tdefault:\n    62→\t\ttarget, err = pqarchive.NewFileTarget(cfg.TargetPath)\n    63→\t}\n    64→\n    65→\tif err != nil {\n    66→\t\tcclog.Errorf(\"NodeState move retention: failed to create target: %v\", err)\n    67→\t\treturn\n    68→\t}\n    69→\n    70→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(2, 30, 0))),\n    71→\t\tgocron.NewTask(\n    72→\t\t\tfunc() {\n    73→\t\t\t\tcutoff := time.Now().Unix() - int64(ageHours*3600)\n    74→\t\t\t\tnodeRepo := repository.GetNodeRepository()\n    75→\n    76→\t\t\t\trows, err := nodeRepo.FindNodeStatesBefore(cutoff)\n    77→\t\t\t\tif err != nil {\n    78→\t\t\t\t\tcclog.Errorf(\"NodeState move retention: error finding rows: %v\", err)\n    79→\t\t\t\t\treturn\n    80→\t\t\t\t}\n    81→\t\t\t\tif len(rows) == 0 {\n    82→\t\t\t\t\treturn\n    83→\t\t\t\t}\n    84→\n    85→\t\t\t\tcclog.Infof(\"NodeState move retention: archiving %d rows\", len(rows))\n    86→\t\t\t\tpw := pqarchive.NewNodeStateParquetWriter(target, maxFileSizeMB)\n    87→\n    88→\t\t\t\tfor _, ns := range rows {\n    89→\t\t\t\t\trow := pqarchive.ParquetNodeStateRow{\n    90→\t\t\t\t\t\tTimeStamp:       ns.TimeStamp,\n    91→\t\t\t\t\t\tNodeState:       ns.NodeState,\n    92→\t\t\t\t\t\tHealthState:     ns.HealthState,\n    93→\t\t\t\t\t\tHealthMetrics:   ns.HealthMetrics,\n    94→\t\t\t\t\t\tCpusAllocated:   int32(ns.CpusAllocated),\n    95→\t\t\t\t\t\tMemoryAllocated: ns.MemoryAllocated,\n    96→\t\t\t\t\t\tGpusAllocated:   int32(ns.GpusAllocated),\n    97→\t\t\t\t\t\tJobsRunning:     int32(ns.JobsRunning),\n    98→\t\t\t\t\t\tHostname:        ns.Hostname,\n    99→\t\t\t\t\t\tCluster:         ns.Cluster,\n   100→\t\t\t\t\t\tSubCluster:      ns.SubCluster,\n   101→\t\t\t\t\t}\n   102→\t\t\t\t\tif err := pw.AddRow(row); err != nil {\n   103→\t\t\t\t\t\tcclog.Errorf(\"NodeState move retention: add row: %v\", err)\n   104→\t\t\t\t\t\tcontinue\n   105→\t\t\t\t\t}\n   106→\t\t\t\t}\n   107→\n   108→\t\t\t\tif err := pw.Close(); err != nil {\n   109→\t\t\t\t\tcclog.Errorf(\"NodeState move retention: close writer: %v\", err)\n   110→\t\t\t\t\treturn\n   111→\t\t\t\t}\n   112→\n   113→\t\t\t\tcnt, err := nodeRepo.DeleteNodeStatesBefore(cutoff)\n   114→\t\t\t\tif err != nil {\n   115→\t\t\t\t\tcclog.Errorf(\"NodeState move retention: error deleting rows: %v\", err)\n   116→\t\t\t\t} else {\n   117→\t\t\t\t\tcclog.Infof(\"NodeState move retention: deleted %d rows from db\", cnt)\n   118→\t\t\t\t}\n   119→\t\t\t}))\n   120→}\n   121→"}]},"uuid":"f9762894-9465-4606-966b-0a21d330a11f","timestamp":"2026-03-16T10:18:56.082Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"e1e25d1e-c7dc-441b-9712-fbf86018043c","timestamp":"2026-03-16T10:18:56.082Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"e1e25d1e-c7dc-441b-9712-fbf86018043c","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:56.784Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01SuYm9ETJD4ree6rxCAbJrq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PKJE6CV2D4pFHnZayvhwdS","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go","limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":13120,"cache_read_input_tokens":75153,"cache_creation":{"ephemeral_5m_input_tokens":13120,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b78f4sCfEkDxNjQumS","uuid":"194e08c0-ad26-4440-9b3e-74cae396fccc"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"ae566622-dd01-4566-aeba-40ddd690b103","timestamp":"2026-03-16T10:18:56.785Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"ae566622-dd01-4566-aeba-40ddd690b103","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PKJE6CV2D4pFHnZayvhwdS","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package archiver provides asynchronous job archiving functionality for ClusterCockpit.\n     7→//\n     8→// The archiver runs a background worker goroutine that processes job archiving requests\n     9→// from a buffered channel. When jobs complete, their metric data is archived from the\n    10→// metric store to the configured archive backend (filesystem, S3, etc.).\n    11→//\n    12→// # Architecture\n    13→//\n    14→// The archiver uses a producer-consumer pattern:\n    15→//   - Producer: TriggerArchiving() sends jobs to archiveChannel\n    16→//   - Consumer: archivingWorker() processes jobs from the channel\n    17→//   - Coordination: sync.WaitGroup tracks pending archive operations\n    18→//\n    19→// # Lifecycle\n    20→//\n    21→//  1. Start(repo, ctx) - Initialize worker with context for cancellation\n    22→//  2. TriggerArchiving(job) - Queue job for archiving (called when job stops)\n    23→//  3. archivingWorker() - Background goroutine processes jobs\n    24→//  4. Shutdown(timeout) - Graceful shutdown with timeout\n    25→//\n    26→// # Graceful Shutdown\n    27→//\n    28→// The archiver supports graceful shutdown with configurable timeout:\n    29→//   - Closes channel to reject new jobs\n    30→//   - Waits for pending jobs to complete (up to timeout)\n    31→//   - Cancels context if timeout exceeded\n    32→//   - Ensures worker goroutine exits cleanly\n    33→//\n    34→// # Example Usage\n    35→//\n    36→//\t// Initialize archiver\n    37→//\tctx, cancel := context.WithCancel(context.Background())\n    38→//\tdefer cancel()\n    39→//\tarchiver.Start(jobRepository, ctx)\n    40→//\n    41→//\t// Trigger archiving when job completes\n    42→//\tarchiver.TriggerArchiving(job)\n    43→//\n    44→//\t// Graceful shutdown with 10 second timeout\n    45→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n    46→//\t    log.Printf(\"Archiver shutdown timeout: %v\", err)\n    47→//\t}\n    48→package archiver\n    49→\n    50→import (\n    51→\t\"context\"\n    52→\t\"fmt\"\n    53→\t\"sync\"\n    54→\t\"time\"\n    55→\n    56→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    57→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    58→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    59→\tsq \"github.com/Masterminds/squirrel\"\n    60→)\n    61→\n    62→var (\n    63→\tarchivePending sync.WaitGroup\n    64→\tarchiveChannel chan *schema.Job\n    65→\tjobRepo        *repository.JobRepository\n    66→\tshutdownCtx    context.Context\n    67→\tshutdownCancel context.CancelFunc\n    68→\tworkerDone     chan struct{}\n    69→)\n    70→\n    71→// Start initializes the archiver and starts the background worker goroutine.\n    72→//\n    73→// The archiver processes job archiving requests asynchronously via a buffered channel.\n    74→// Jobs are sent to the channel using TriggerArchiving() and processed by the worker.\n    75→//\n    76→// Parameters:\n    77→//   - r: JobRepository instance for database operations\n    78→//   - ctx: Context for cancellation (shutdown signal propagation)\n    79→//\n    80→// The worker goroutine will run until:\n    81→//   - ctx is cancelled (via parent shutdown)\n    82→//   - archiveChannel is closed (via Shutdown())\n    83→//\n    84→// Must be called before TriggerArchiving(). Safe to call only once.\n    85→func Start(r *repository.JobRepository, ctx context.Context) {\n    86→\tshutdownCtx, shutdownCancel = context.WithCancel(ctx)\n    87→\tarchiveChannel = make(chan *schema.Job, 128)\n    88→\tworkerDone = make(chan struct{})\n    89→\tjobRepo = r\n    90→\n    91→\tgo archivingWorker()\n    92→}\n    93→\n    94→// archivingWorker is the background goroutine that processes job archiving requests.\n    95→//\n    96→// The worker loop:\n    97→//  1. Blocks waiting for jobs on archiveChannel or shutdown signal\n    98→//  2. Fetches job metadata from repository\n    99→//  3. Archives job data to configured backend (calls ArchiveJob)\n   100→//  4. Updates job footprint and energy metrics in database\n   101→//  5. Marks job as successfully archived\n   102→//  6. Calls job stop hooks\n   103→//\n   104→// The worker exits when:\n   105→//   - shutdownCtx is cancelled (timeout during shutdown)\n   106→//   - archiveChannel is closed (normal shutdown)\n   107→//\n   108→// Errors during archiving are logged and the job is marked as failed,\n   109→// but the worker continues processing other jobs.\n   110→func archivingWorker() {\n   111→\tdefer close(workerDone)\n   112→\n   113→\tfor {\n   114→\t\tselect {\n   115→\t\tcase <-shutdownCtx.Done():\n   116→\t\t\tcclog.Info(\"Archive worker received shutdown signal\")\n   117→\t\t\treturn\n   118→\n   119→\t\tcase job, ok := <-archiveChannel:\n   120→\t\t\tif !ok {\n   121→\t\t\t\tcclog.Info(\"Archive channel closed, worker exiting\")\n   122→\t\t\t\treturn\n   123→\t\t\t}\n   124→\n   125→\t\t\tstart := time.Now()\n   126→\t\t\t// not using meta data, called to load JobMeta into Cache?\n   127→\t\t\t// will fail if job meta not in repository\n   128→\t\t\tif _, err := jobRepo.FetchMetadata(job); err != nil {\n   129→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at check metadata step: %s\", *job.ID, err.Error())\n   130→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n   131→\t\t\t\tarchivePending.Done()\n   132→\t\t\t\tcontinue\n   133→\t\t\t}\n   134→\n   135→\t\t\t// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend\n   136→\t\t\t// Use shutdown context to allow cancellation\n   137→\t\t\tjobMeta, err := ArchiveJob(job, shutdownCtx)\n   138→\t\t\tif err != nil {\n   139→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at archiving job step: %s\", *job.ID, err.Error())\n   140→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n   141→\t\t\t\tarchivePending.Done()\n   142→\t\t\t\tcontinue\n   143→\t\t\t}\n   144→\n   145→\t\t\tstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\n   146→\n   147→\t\t\tif stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {\n   148→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Footprint step: %s\", *job.ID, err.Error())\n   149→\t\t\t\tarchivePending.Done()\n   150→\t\t\t\tcontinue"}]},"uuid":"6d86fae3-2604-4302-a1b1-5ca9072c68a7","timestamp":"2026-03-16T10:18:56.805Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"5cc95228-d2e3-4346-b5d6-c0bccc966e9a","timestamp":"2026-03-16T10:18:56.999Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"5cc95228-d2e3-4346-b5d6-c0bccc966e9a","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:57.060Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01SuYm9ETJD4ree6rxCAbJrq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BCix2A6sVowtVAWUTzyezG","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go","limit":200},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":13120,"cache_read_input_tokens":75153,"cache_creation":{"ephemeral_5m_input_tokens":13120,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b78f4sCfEkDxNjQumS","uuid":"d6a67665-3003-4c6d-bf9d-60368843aaba"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"d45047d6-95bc-473b-9ab4-4da9b5bb4c00","timestamp":"2026-03-16T10:18:57.060Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d45047d6-95bc-473b-9ab4-4da9b5bb4c00","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BCix2A6sVowtVAWUTzyezG","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package importer\n     7→\n     8→import (\n     9→\t\"bytes\"\n    10→\t\"encoding/json\"\n    11→\t\"fmt\"\n    12→\t\"os\"\n    13→\t\"strings\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    19→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    20→)\n    21→\n    22→// HandleImportFlag imports jobs from file pairs specified in a comma-separated flag string.\n    23→//\n    24→// The flag format is: \"<path-to-meta.json>:<path-to-data.json>[,<path-to-meta2.json>:<path-to-data2.json>,...]\"\n    25→//\n    26→// For each job pair, this function:\n    27→//  1. Reads and validates the metadata JSON file (schema.Job)\n    28→//  2. Reads and validates the job data JSON file (schema.JobData)\n    29→//  3. Enriches the job with calculated footprints and energy metrics\n    30→//  4. Validates the job using SanityChecks()\n    31→//  5. Imports the job into the archive\n    32→//  6. Inserts the job into the database with associated tags\n    33→//\n    34→// Schema validation is performed if config.Keys.Validate is true.\n    35→//\n    36→// Returns an error if file reading, validation, enrichment, or database operations fail.\n    37→// The function stops processing on the first error encountered.\n    38→func HandleImportFlag(flag string) error {\n    39→\tr := repository.GetJobRepository()\n    40→\n    41→\tfor pair := range strings.SplitSeq(flag, \",\") {\n    42→\t\tfiles := strings.Split(pair, \":\")\n    43→\t\tif len(files) != 2 {\n    44→\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > invalid import flag format\")\n    45→\t\t}\n    46→\n    47→\t\traw, err := os.ReadFile(files[0])\n    48→\t\tif err != nil {\n    49→\t\t\tcclog.Warn(\"Error while reading metadata file for import\")\n    50→\t\t\treturn err\n    51→\t\t}\n    52→\n    53→\t\tif config.Keys.Validate {\n    54→\t\t\tif err = schema.Validate(schema.Meta, bytes.NewReader(raw)); err != nil {\n    55→\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job meta: %v\", err)\n    56→\t\t\t}\n    57→\t\t}\n    58→\t\tdec := json.NewDecoder(bytes.NewReader(raw))\n    59→\t\tdec.DisallowUnknownFields()\n    60→\t\tjob := schema.Job{\n    61→\t\t\tShared:           \"none\",\n    62→\t\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n    63→\t\t}\n    64→\t\tif err = dec.Decode(&job); err != nil {\n    65→\t\t\tcclog.Warn(\"Error while decoding raw json metadata for import\")\n    66→\t\t\treturn err\n    67→\t\t}\n    68→\n    69→\t\traw, err = os.ReadFile(files[1])\n    70→\t\tif err != nil {\n    71→\t\t\tcclog.Warn(\"Error while reading jobdata file for import\")\n    72→\t\t\treturn err\n    73→\t\t}\n    74→\n    75→\t\tif config.Keys.Validate {\n    76→\t\t\tif err = schema.Validate(schema.Data, bytes.NewReader(raw)); err != nil {\n    77→\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job data: %v\", err)\n    78→\t\t\t}\n    79→\t\t}\n    80→\t\tdec = json.NewDecoder(bytes.NewReader(raw))\n    81→\t\tdec.DisallowUnknownFields()\n    82→\t\tjobData := schema.JobData{}\n    83→\t\tif err = dec.Decode(&jobData); err != nil {\n    84→\t\t\tcclog.Warn(\"Error while decoding raw json jobdata for import\")\n    85→\t\t\treturn err\n    86→\t\t}\n    87→\n    88→\t\tjob.MonitoringStatus = schema.MonitoringStatusArchivingSuccessful\n    89→\n    90→\t\tif err = enrichJobMetadata(&job); err != nil {\n    91→\t\t\tcclog.Errorf(\"Error enriching job metadata: %v\", err)\n    92→\t\t\treturn err\n    93→\t\t}\n    94→\n    95→\t\tif err = SanityChecks(&job); err != nil {\n    96→\t\t\tcclog.Warn(\"BaseJob SanityChecks failed\")\n    97→\t\t\treturn err\n    98→\t\t}\n    99→\n   100→\t\tif err = archive.GetHandle().ImportJob(&job, &jobData); err != nil {\n   101→\t\t\tcclog.Error(\"Error while importing job\")\n   102→\t\t\treturn err\n   103→\t\t}\n   104→\n   105→\t\tid, err := r.InsertJobDirect(&job)\n   106→\t\tif err != nil {\n   107→\t\t\tcclog.Warn(\"Error while job db insert\")\n   108→\t\t\treturn err\n   109→\t\t}\n   110→\n   111→\t\tfor _, tag := range job.Tags {\n   112→\t\t\tif err := r.ImportTag(id, tag.Type, tag.Name, tag.Scope); err != nil {\n   113→\t\t\t\tcclog.Error(\"Error while adding or creating tag on import\")\n   114→\t\t\t\treturn err\n   115→\t\t\t}\n   116→\t\t}\n   117→\n   118→\t\tcclog.Infof(\"successfully imported a new job (jobId: %d, cluster: %s, dbid: %d)\", job.JobID, job.Cluster, id)\n   119→\t}\n   120→\treturn nil\n   121→}\n   122→"}]},"uuid":"ca22fa68-3ed2-48a6-821f-5cc1b1f22757","timestamp":"2026-03-16T10:18:57.071Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"31d0c38a-bfcb-4bc0-bfda-d6872b326b0e","timestamp":"2026-03-16T10:18:57.073Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"31d0c38a-bfcb-4bc0-bfda-d6872b326b0e","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:57.080Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Lrz8ddRNW1dyYzAgLt2a4e","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FPFctn7YD2bboFg9SPrNnU","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiver.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3395,"cache_creation_input_tokens":15343,"cache_read_input_tokens":18964,"cache_creation":{"ephemeral_5m_input_tokens":15343,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7KMFmx3TqednMpmZn","uuid":"558e9215-f4cd-48cd-9bbd-41a1b069f026"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"1f7e6571-ade8-4ef3-b024-9b6093bffec6","timestamp":"2026-03-16T10:18:57.080Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"1f7e6571-ade8-4ef3-b024-9b6093bffec6","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FPFctn7YD2bboFg9SPrNnU","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package archiver\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"math\"\n    11→\n    12→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    13→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    15→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    16→)\n    17→\n    18→// ArchiveJob archives a completed job's metric data to the configured archive backend.\n    19→//\n    20→// This function performs the following operations:\n    21→//  1. Loads all metric data for the job from the metric data repository\n    22→//  2. Calculates job-level statistics (avg, min, max) for each metric\n    23→//  3. Stores the job metadata and metric data to the archive backend\n    24→//\n    25→// Metric data is retrieved at the highest available resolution (typically 60s)\n    26→// for the following scopes:\n    27→//   - Node scope (always)\n    28→//   - Core scope (for jobs with ≤8 nodes, to reduce data volume)\n    29→//   - Accelerator scope (if job used accelerators)\n    30→//\n    31→// The function respects context cancellation. If ctx is cancelled (e.g., during\n    32→// shutdown timeout), the operation will be interrupted and return an error.\n    33→//\n    34→// Parameters:\n    35→//   - job: The job to archive (must be a completed job)\n    36→//   - ctx: Context for cancellation and timeout control\n    37→//\n    38→// Returns:\n    39→//   - *schema.Job with populated Statistics field\n    40→//   - error if data loading or archiving fails\n    41→//\n    42→// If config.Keys.DisableArchive is true, only job statistics are calculated\n    43→// and returned (no data is written to archive backend).\n    44→func ArchiveJob(job *schema.Job, ctx context.Context) (*schema.Job, error) {\n    45→\tallMetrics := make([]string, 0)\n    46→\tmetricConfigs := archive.GetCluster(job.Cluster).MetricConfig\n    47→\tfor _, mc := range metricConfigs {\n    48→\t\tallMetrics = append(allMetrics, mc.Name)\n    49→\t}\n    50→\n    51→\tscopes := []schema.MetricScope{schema.MetricScopeNode}\n    52→\t// FIXME: Add a config option for this\n    53→\tif job.NumNodes <= 8 {\n    54→\t\t// This will add the native scope if core scope is not available\n    55→\t\tscopes = append(scopes, schema.MetricScopeCore)\n    56→\t}\n    57→\n    58→\tif job.NumAcc > 0 {\n    59→\t\tscopes = append(scopes, schema.MetricScopeAccelerator)\n    60→\t}\n    61→\n    62→\tjobData, err := metricdispatch.LoadData(job, allMetrics, scopes, ctx, 0) // 0 Resulotion-Value retrieves highest res (60s)\n    63→\tif err != nil {\n    64→\t\tcclog.Error(\"Error wile loading job data for archiving\")\n    65→\t\treturn nil, err\n    66→\t}\n    67→\n    68→\tjob.Statistics = make(map[string]schema.JobStatistics)\n    69→\n    70→\tfor metric, data := range jobData {\n    71→\t\tavg, min, max := 0.0, math.MaxFloat32, -math.MaxFloat32\n    72→\t\tnodeData, ok := data[\"node\"]\n    73→\t\tif !ok {\n    74→\t\t\t// This should never happen ?\n    75→\t\t\tcontinue\n    76→\t\t}\n    77→\n    78→\t\tfor _, series := range nodeData.Series {\n    79→\t\t\tavg += series.Statistics.Avg\n    80→\t\t\tmin = math.Min(min, series.Statistics.Min)\n    81→\t\t\tmax = math.Max(max, series.Statistics.Max)\n    82→\t\t}\n    83→\n    84→\t\t// Round AVG Result to 2 Digits\n    85→\t\tjob.Statistics[metric] = schema.JobStatistics{\n    86→\t\t\tUnit: schema.Unit{\n    87→\t\t\t\tPrefix: archive.GetMetricConfig(job.Cluster, metric).Unit.Prefix,\n    88→\t\t\t\tBase:   archive.GetMetricConfig(job.Cluster, metric).Unit.Base,\n    89→\t\t\t},\n    90→\t\t\tAvg: (math.Round((avg/float64(job.NumNodes))*100) / 100),\n    91→\t\t\tMin: min,\n    92→\t\t\tMax: max,\n    93→\t\t}\n    94→\t}\n    95→\n    96→\treturn job, archive.GetHandle().ImportJob(job, &jobData)\n    97→}\n    98→"}]},"uuid":"0f97dce8-97fa-47db-8e68-42c8ecf0394e","timestamp":"2026-03-16T10:18:57.083Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"6859b3f5-7744-4937-a42d-9a53bf815a8d","timestamp":"2026-03-16T10:18:57.083Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"6859b3f5-7744-4937-a42d-9a53bf815a8d","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:57.329Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01SuYm9ETJD4ree6rxCAbJrq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011rJJPwd34bsw3YNZxcu7rN","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/initDB.go","limit":200},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":13120,"cache_read_input_tokens":75153,"cache_creation":{"ephemeral_5m_input_tokens":13120,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b78f4sCfEkDxNjQumS","uuid":"d77736fa-a88d-4307-95f5-09fbe08a2e5b"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"c56a655c-046a-48f4-8d7b-8994f6d6d536","timestamp":"2026-03-16T10:18:57.330Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"c56a655c-046a-48f4-8d7b-8994f6d6d536","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011rJJPwd34bsw3YNZxcu7rN","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package importer provides functionality for importing job data into the ClusterCockpit database.\n     7→//\n     8→// The package supports two primary use cases:\n     9→//  1. Bulk database initialization from archived jobs via InitDB()\n    10→//  2. Individual job import from file pairs via HandleImportFlag()\n    11→//\n    12→// Both operations enrich job metadata by calculating footprints and energy metrics\n    13→// before persisting to the database.\n    14→package importer\n    15→\n    16→import (\n    17→\t\"encoding/json\"\n    18→\t\"fmt\"\n    19→\t\"math\"\n    20→\t\"strings\"\n    21→\t\"time\"\n    22→\n    23→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    24→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    25→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    26→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    27→)\n    28→\n    29→const (\n    30→\taddTagQuery = \"INSERT INTO tag (tag_name, tag_type) VALUES (?, ?)\"\n    31→\tsetTagQuery = \"INSERT INTO jobtag (job_id, tag_id) VALUES (?, ?)\"\n    32→)\n    33→\n    34→// InitDB reinitializes the job database from archived job data.\n    35→//\n    36→// This function performs the following operations:\n    37→//  1. Flushes existing job, tag, and jobtag tables\n    38→//  2. Iterates through all jobs in the archive\n    39→//  3. Enriches each job with calculated footprints and energy metrics\n    40→//  4. Inserts jobs and tags into the database in batched transactions\n    41→//\n    42→// Jobs are processed in batches of 100 for optimal performance. The function\n    43→// continues processing even if individual jobs fail, logging errors and\n    44→// returning a summary at the end.\n    45→//\n    46→// Returns an error if database initialization, transaction management, or\n    47→// critical operations fail. Individual job failures are logged but do not\n    48→// stop the overall import process.\n    49→func InitDB() error {\n    50→\tr := repository.GetJobRepository()\n    51→\tif err := r.Flush(); err != nil {\n    52→\t\tcclog.Errorf(\"repository initDB(): %v\", err)\n    53→\t\treturn err\n    54→\t}\n    55→\tstarttime := time.Now()\n    56→\tcclog.Print(\"Building job table...\")\n    57→\n    58→\tt, err := r.TransactionInit()\n    59→\tif err != nil {\n    60→\t\tcclog.Warn(\"Error while initializing SQL transactions\")\n    61→\t\treturn err\n    62→\t}\n    63→\ttags := make(map[string]int64)\n    64→\n    65→\t// Not using cclog.Print because we want the line to end with `\\r` and\n    66→\t// this function is only ever called when a special command line flag\n    67→\t// is passed anyways.\n    68→\tfmt.Printf(\"%d jobs inserted...\\r\", 0)\n    69→\n    70→\tar := archive.GetHandle()\n    71→\ti := 0\n    72→\terrorOccured := 0\n    73→\n    74→\tfor jobContainer := range ar.Iter(false) {\n    75→\n    76→\t\tjobMeta := jobContainer.Meta\n    77→\t\tif jobMeta == nil {\n    78→\t\t\tcclog.Warn(\"skipping job with nil metadata\")\n    79→\t\t\terrorOccured++\n    80→\t\t\tcontinue\n    81→\t\t}\n    82→\n    83→\t\t// Bundle 100 inserts into one transaction for better performance\n    84→\t\tif i%100 == 0 {\n    85→\t\t\tif i > 0 {\n    86→\t\t\t\tif err := t.Commit(); err != nil {\n    87→\t\t\t\t\tcclog.Errorf(\"transaction commit error: %v\", err)\n    88→\t\t\t\t\treturn err\n    89→\t\t\t\t}\n    90→\t\t\t\t// Start a new transaction for the next batch\n    91→\t\t\t\tt, err = r.TransactionInit()\n    92→\t\t\t\tif err != nil {\n    93→\t\t\t\t\tcclog.Errorf(\"transaction init error: %v\", err)\n    94→\t\t\t\t\treturn err\n    95→\t\t\t\t}\n    96→\t\t\t}\n    97→\t\t\tfmt.Printf(\"%d jobs inserted...\\r\", i)\n    98→\t\t}\n    99→\n   100→\t\tjobMeta.MonitoringStatus = schema.MonitoringStatusArchivingSuccessful\n   101→\n   102→\t\tif err := enrichJobMetadata(jobMeta); err != nil {\n   103→\t\t\tcclog.Errorf(\"repository initDB(): %v\", err)\n   104→\t\t\terrorOccured++\n   105→\t\t\tcontinue\n   106→\t\t}\n   107→\n   108→\t\tif err := SanityChecks(jobMeta); err != nil {\n   109→\t\t\tcclog.Errorf(\"repository initDB(): %v\", err)\n   110→\t\t\terrorOccured++\n   111→\t\t\tcontinue\n   112→\t\t}\n   113→\n   114→\t\tid, jobErr := r.TransactionAddNamed(t,\n   115→\t\t\trepository.NamedJobInsert, jobMeta)\n   116→\t\tif jobErr != nil {\n   117→\t\t\tcclog.Errorf(\"repository initDB(): %v\", jobErr)\n   118→\t\t\terrorOccured++\n   119→\t\t\tcontinue\n   120→\t\t}\n   121→\n   122→\t\t// Job successfully inserted, increment counter\n   123→\t\ti += 1\n   124→\n   125→\t\tfor _, tag := range jobMeta.Tags {\n   126→\t\t\ttagstr := tag.Name + \":\" + tag.Type\n   127→\t\t\ttagID, ok := tags[tagstr]\n   128→\t\t\tif !ok {\n   129→\t\t\t\tvar err error\n   130→\t\t\t\ttagID, err = r.TransactionAdd(t,\n   131→\t\t\t\t\taddTagQuery,\n   132→\t\t\t\t\ttag.Name, tag.Type)\n   133→\t\t\t\tif err != nil {\n   134→\t\t\t\t\tcclog.Errorf(\"Error adding tag: %v\", err)\n   135→\t\t\t\t\terrorOccured++\n   136→\t\t\t\t\tcontinue\n   137→\t\t\t\t}\n   138→\t\t\t\ttags[tagstr] = tagID\n   139→\t\t\t}\n   140→\n   141→\t\t\tr.TransactionAdd(t,\n   142→\t\t\t\tsetTagQuery,\n   143→\t\t\t\tid, tagID)\n   144→\t\t}\n   145→\t}\n   146→\n   147→\tif errorOccured > 0 {\n   148→\t\tcclog.Warnf(\"Error in import of %d jobs!\", errorOccured)\n   149→\t}\n   150→\n   151→\tr.TransactionEnd(t)\n   152→\tcclog.Infof(\"A total of %d jobs have been registered in %.3f seconds.\", i, time.Since(starttime).Seconds())\n   153→\treturn nil\n   154→}\n   155→\n   156→// enrichJobMetadata calculates and populates job footprints, energy metrics, and serialized fields.\n   157→//\n   158→// This function performs the following enrichment operations:\n   159→//  1. Calculates job footprint metrics based on the subcluster configuration\n   160→//  2. Computes energy footprint and total energy consumption in kWh\n   161→//  3. Marshals footprints, resources, and metadata into JSON for database storage\n   162→//\n   163→// The function expects the job's MonitoringStatus and SubCluster to be already set.\n   164→// Energy calculations convert power metrics (Watts) to energy (kWh) using the formula:\n   165→//\n   166→//\tEnergy (kWh) = (Power (W) * Duration (s) / 3600) / 1000\n   167→//\n   168→// Returns an error if subcluster retrieval, metric indexing, or JSON marshaling fails.\n   169→func enrichJobMetadata(job *schema.Job) error {\n   170→\tsc, err := archive.GetSubCluster(job.Cluster, job.SubCluster)\n   171→\tif err != nil {\n   172→\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())\n   173→\t\treturn err\n   174→\t}\n   175→\n   176→\tjob.Footprint = make(map[string]float64)\n   177→\n   178→\tfor _, fp := range sc.Footprint {\n   179→\t\tstatType := \"avg\"\n   180→\n   181→\t\tif i, err := archive.MetricIndex(sc.MetricConfig, fp); err != nil {\n   182→\t\t\tstatType = sc.MetricConfig[i].Footprint\n   183→\t\t}\n   184→\n   185→\t\tname := fmt.Sprintf(\"%s_%s\", fp, statType)\n   186→\n   187→\t\tjob.Footprint[name] = repository.LoadJobStat(job, fp, statType)\n   188→\t}\n   189→\n   190→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   191→\tif err != nil {\n   192→\t\tcclog.Warn(\"Error while marshaling job footprint\")\n   193→\t\treturn err\n   194→\t}\n   195→\n   196→\tjob.EnergyFootprint = make(map[string]float64)\n   197→\n   198→\t// Total Job Energy Outside Loop\n   199→\ttotalEnergy := 0.0\n   200→\tfor _, fp := range sc.EnergyFootprint {"}]},"uuid":"4407068c-6ca3-426f-88f7-c521c21cd0a5","timestamp":"2026-03-16T10:18:57.345Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"d9c88ef0-c3f8-42c4-9dd2-3a8da84fc718","timestamp":"2026-03-16T10:18:57.350Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"aa891431-52a8-45b4-9c57-2437200dddf9","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012EPYaVpBxKQ7QQCci4VrHf","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package importer\n     7→\n     8→import (\n     9→\t\"bytes\"\n    10→\t\"encoding/json\"\n    11→\t\"fmt\"\n    12→\t\"os\"\n    13→\t\"strings\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    19→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    20→)\n    21→\n    22→// HandleImportFlag imports jobs from file pairs specified in a comma-separated flag string.\n    23→//\n    24→// The flag format is: \"<path-to-meta.json>:<path-to-data.json>[,<path-to-meta2.json>:<path-to-data2.json>,...]\"\n    25→//\n    26→// For each job pair, this function:\n    27→//  1. Reads and validates the metadata JSON file (schema.Job)\n    28→//  2. Reads and validates the job data JSON file (schema.JobData)\n    29→//  3. Enriches the job with calculated footprints and energy metrics\n    30→//  4. Validates the job using SanityChecks()\n    31→//  5. Imports the job into the archive\n    32→//  6. Inserts the job into the database with associated tags\n    33→//\n    34→// Schema validation is performed if config.Keys.Validate is true.\n    35→//\n    36→// Returns an error if file reading, validation, enrichment, or database operations fail.\n    37→// The function stops processing on the first error encountered.\n    38→func HandleImportFlag(flag string) error {\n    39→\tr := repository.GetJobRepository()\n    40→\n    41→\tfor pair := range strings.SplitSeq(flag, \",\") {\n    42→\t\tfiles := strings.Split(pair, \":\")\n    43→\t\tif len(files) != 2 {\n    44→\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > invalid import flag format\")\n    45→\t\t}\n    46→\n    47→\t\traw, err := os.ReadFile(files[0])\n    48→\t\tif err != nil {\n    49→\t\t\tcclog.Warn(\"Error while reading metadata file for import\")\n    50→\t\t\treturn err\n    51→\t\t}\n    52→\n    53→\t\tif config.Keys.Validate {\n    54→\t\t\tif err = schema.Validate(schema.Meta, bytes.NewReader(raw)); err != nil {\n    55→\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job meta: %v\", err)\n    56→\t\t\t}\n    57→\t\t}\n    58→\t\tdec := json.NewDecoder(bytes.NewReader(raw))\n    59→\t\tdec.DisallowUnknownFields()\n    60→\t\tjob := schema.Job{\n    61→\t\t\tShared:           \"none\",\n    62→\t\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n    63→\t\t}\n    64→\t\tif err = dec.Decode(&job); err != nil {\n    65→\t\t\tcclog.Warn(\"Error while decoding raw json metadata for import\")\n    66→\t\t\treturn err\n    67→\t\t}\n    68→\n    69→\t\traw, err = os.ReadFile(files[1])\n    70→\t\tif err != nil {\n    71→\t\t\tcclog.Warn(\"Error while reading jobdata file for import\")\n    72→\t\t\treturn err\n    73→\t\t}\n    74→\n    75→\t\tif config.Keys.Validate {\n    76→\t\t\tif err = schema.Validate(schema.Data, bytes.NewReader(raw)); err != nil {\n    77→\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job data: %v\", err)\n    78→\t\t\t}\n    79→\t\t}\n    80→\t\tdec = json.NewDecoder(bytes.NewReader(raw))\n    81→\t\tdec.DisallowUnknownFields()\n    82→\t\tjobData := schema.JobData{}\n    83→\t\tif err = dec.Decode(&jobData); err != nil {\n    84→\t\t\tcclog.Warn(\"Error while decoding raw json jobdata for import\")\n    85→\t\t\treturn err\n    86→\t\t}\n    87→\n    88→\t\tjob.MonitoringStatus = schema.MonitoringStatusArchivingSuccessful\n    89→\n    90→\t\tif err = enrichJobMetadata(&job); err != nil {\n    91→\t\t\tcclog.Errorf(\"Error enriching job metadata: %v\", err)\n    92→\t\t\treturn err\n    93→\t\t}\n    94→\n    95→\t\tif err = SanityChecks(&job); err != nil {\n    96→\t\t\tcclog.Warn(\"BaseJob SanityChecks failed\")\n    97→\t\t\treturn err\n    98→\t\t}\n    99→\n   100→\t\tif err = archive.GetHandle().ImportJob(&job, &jobData); err != nil {\n   101→\t\t\tcclog.Error(\"Error while importing job\")\n   102→\t\t\treturn err\n   103→\t\t}\n   104→\n   105→\t\tid, err := r.InsertJobDirect(&job)\n   106→\t\tif err != nil {\n   107→\t\t\tcclog.Warn(\"Error while job db insert\")\n   108→\t\t\treturn err\n   109→\t\t}\n   110→\n   111→\t\tfor _, tag := range job.Tags {\n   112→\t\t\tif err := r.ImportTag(id, tag.Type, tag.Name, tag.Scope); err != nil {\n   113→\t\t\t\tcclog.Error(\"Error while adding or creating tag on import\")\n   114→\t\t\t\treturn err\n   115→\t\t\t}\n   116→\t\t}\n   117→\n   118→\t\tcclog.Infof(\"successfully imported a new job (jobId: %d, cluster: %s, dbid: %d)\", job.JobID, job.Cluster, id)\n   119→\t}\n   120→\treturn nil\n   121→}\n   122→"}]},"uuid":"caa6d023-db8d-45b7-9f8b-bcecf261ee9b","timestamp":"2026-03-16T10:18:58.372Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"f82f0dfd-9389-4aef-aa4b-03c9867b17ea","timestamp":"2026-03-16T10:18:58.392Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"093a7028-5f48-4791-8f33-45b30221ba4e","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WGYVBFCWU9MaBcsSh2v6TC","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package repository\n     6→\n     7→import (\n     8→\t\"fmt\"\n     9→\n    10→\t\"github.com/jmoiron/sqlx\"\n    11→)\n    12→\n    13→// Transaction wraps a database transaction for job-related operations.\n    14→type Transaction struct {\n    15→\ttx *sqlx.Tx\n    16→}\n    17→\n    18→// TransactionInit begins a new transaction.\n    19→func (r *JobRepository) TransactionInit() (*Transaction, error) {\n    20→\ttx, err := r.DB.Beginx()\n    21→\tif err != nil {\n    22→\t\treturn nil, fmt.Errorf(\"beginning transaction: %w\", err)\n    23→\t}\n    24→\treturn &Transaction{tx: tx}, nil\n    25→}\n    26→\n    27→// Commit commits the transaction.\n    28→// After calling Commit, the transaction should not be used again.\n    29→func (t *Transaction) Commit() error {\n    30→\tif t.tx == nil {\n    31→\t\treturn fmt.Errorf(\"transaction already committed or rolled back\")\n    32→\t}\n    33→\terr := t.tx.Commit()\n    34→\tt.tx = nil // Mark as completed\n    35→\tif err != nil {\n    36→\t\treturn fmt.Errorf(\"committing transaction: %w\", err)\n    37→\t}\n    38→\treturn nil\n    39→}\n    40→\n    41→// Rollback rolls back the transaction.\n    42→// It's safe to call Rollback on an already committed or rolled back transaction.\n    43→func (t *Transaction) Rollback() error {\n    44→\tif t.tx == nil {\n    45→\t\treturn nil // Already committed/rolled back\n    46→\t}\n    47→\terr := t.tx.Rollback()\n    48→\tt.tx = nil // Mark as completed\n    49→\tif err != nil {\n    50→\t\treturn fmt.Errorf(\"rolling back transaction: %w\", err)\n    51→\t}\n    52→\treturn nil\n    53→}\n    54→\n    55→// TransactionEnd commits the transaction.\n    56→// Deprecated: Use Commit() instead.\n    57→func (r *JobRepository) TransactionEnd(t *Transaction) error {\n    58→\treturn t.Commit()\n    59→}\n    60→\n    61→// TransactionAddNamed executes a named query within the transaction.\n    62→func (r *JobRepository) TransactionAddNamed(\n    63→\tt *Transaction,\n    64→\tquery string,\n    65→\targs ...any,\n    66→) (int64, error) {\n    67→\tif t.tx == nil {\n    68→\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n    69→\t}\n    70→\n    71→\tres, err := t.tx.NamedExec(query, args)\n    72→\tif err != nil {\n    73→\t\treturn 0, fmt.Errorf(\"named exec: %w\", err)\n    74→\t}\n    75→\n    76→\tid, err := res.LastInsertId()\n    77→\tif err != nil {\n    78→\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n    79→\t}\n    80→\n    81→\treturn id, nil\n    82→}\n    83→\n    84→// TransactionAdd executes a query within the transaction.\n    85→func (r *JobRepository) TransactionAdd(t *Transaction, query string, args ...any) (int64, error) {\n    86→\tif t.tx == nil {\n    87→\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n    88→\t}\n    89→\n    90→\tres, err := t.tx.Exec(query, args...)\n    91→\tif err != nil {\n    92→\t\treturn 0, fmt.Errorf(\"exec: %w\", err)\n    93→\t}\n    94→\n    95→\tid, err := res.LastInsertId()\n    96→\tif err != nil {\n    97→\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n    98→\t}\n    99→\n   100→\treturn id, nil\n   101→}\n   102→"}]},"uuid":"12ed7ae8-b6d8-46d9-bea3-1bb398d27b5f","timestamp":"2026-03-16T10:18:58.648Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"49d9c229-1f03-4e86-9428-b566dcbfe494","timestamp":"2026-03-16T10:18:58.689Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"49d9c229-1f03-4e86-9428-b566dcbfe494","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ALrm85FgoGJsoVYUDaZvMd","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package api provides the REST API layer for ClusterCockpit.\n     7→// It handles HTTP requests for job management, user administration,\n     8→// cluster queries, node state updates, and metrics storage operations.\n     9→// The API supports both JWT token authentication and session-based authentication.\n    10→package api\n    11→\n    12→import (\n    13→\t\"encoding/json\"\n    14→\t\"fmt\"\n    15→\t\"io\"\n    16→\t\"net/http\"\n    17→\t\"os\"\n    18→\t\"path/filepath\"\n    19→\t\"strings\"\n    20→\t\"sync\"\n    21→\n    22→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n    23→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    24→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    25→\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n    26→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    27→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    28→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n    29→\t\"github.com/go-chi/chi/v5\"\n    30→)\n    31→\n    32→// @title                      ClusterCockpit REST API\n    33→// @version                    1.0.0\n    34→// @description                API for batch job control.\n    35→\n    36→// @contact.name               ClusterCockpit Project\n    37→// @contact.url                https://github.com/ClusterCockpit\n    38→// @contact.email              support@clustercockpit.org\n    39→\n    40→// @license.name               MIT License\n    41→// @license.url                https://opensource.org/licenses/MIT\n    42→\n    43→// @host                       localhost:8080\n    44→\n    45→// @securityDefinitions.apikey ApiKeyAuth\n    46→// @in                         header\n    47→// @name                       X-Auth-Token\n    48→\n    49→const (\n    50→\tnoticeFilePath  = \"./var/notice.txt\"\n    51→\tnoticeFilePerms = 0o644\n    52→\tmaxNoticeLength = 10000 // Maximum allowed notice content length in characters\n    53→)\n    54→\n    55→type RestAPI struct {\n    56→\tJobRepository   *repository.JobRepository\n    57→\tAuthentication  *auth.Authentication\n    58→\tMachineStateDir string\n    59→\t// RepositoryMutex protects job creation operations from race conditions\n    60→\t// when checking for duplicate jobs during startJob API calls.\n    61→\t// It prevents concurrent job starts with the same jobId/cluster/startTime\n    62→\t// from creating duplicate entries in the database.\n    63→\tRepositoryMutex sync.Mutex\n    64→}\n    65→\n    66→// New creates and initializes a new RestAPI instance with configured dependencies.\n    67→func New() *RestAPI {\n    68→\treturn &RestAPI{\n    69→\t\tJobRepository:   repository.GetJobRepository(),\n    70→\t\tMachineStateDir: config.Keys.MachineStateDir,\n    71→\t\tAuthentication:  auth.GetAuthInstance(),\n    72→\t}\n    73→}\n    74→\n    75→// MountAPIRoutes registers REST API endpoints for job and cluster management.\n    76→// These routes use JWT token authentication via the X-Auth-Token header.\n    77→func (api *RestAPI) MountAPIRoutes(r chi.Router) {\n    78→\t// REST API Uses TokenAuth\n    79→\t// User List\n    80→\tr.Get(\"/users/\", api.getUsers)\n    81→\t// Cluster List\n    82→\tr.Get(\"/clusters/\", api.getClusters)\n    83→\t// Slurm node state\n    84→\tr.Post(\"/nodestate/\", api.updateNodeStates)\n    85→\tr.Put(\"/nodestate/\", api.updateNodeStates)\n    86→\t// Job Handler\n    87→\tif config.Keys.APISubjects == nil {\n    88→\t\tcclog.Info(\"Enabling REST start/stop job API\")\n    89→\t\tr.Post(\"/jobs/start_job/\", api.startJob)\n    90→\t\tr.Put(\"/jobs/start_job/\", api.startJob)\n    91→\t\tr.Post(\"/jobs/stop_job/\", api.stopJobByRequest)\n    92→\t\tr.Put(\"/jobs/stop_job/\", api.stopJobByRequest)\n    93→\t}\n    94→\tr.Get(\"/jobs/\", api.getJobs)\n    95→\tr.Get(\"/jobs/used_nodes\", api.getUsedNodes)\n    96→\tr.Post(\"/jobs/tag_job/{id}\", api.tagJob)\n    97→\tr.Patch(\"/jobs/tag_job/{id}\", api.tagJob)\n    98→\tr.Delete(\"/jobs/tag_job/{id}\", api.removeTagJob)\n    99→\tr.Patch(\"/jobs/edit_meta/{id}\", api.editMeta)\n   100→\tr.Patch(\"/jobs/edit_meta/\", api.editMetaByRequest)\n   101→\tr.Get(\"/jobs/metrics/{id}\", api.getJobMetrics)\n   102→\tr.Delete(\"/jobs/delete_job/\", api.deleteJobByRequest)\n   103→\tr.Delete(\"/jobs/delete_job/{id}\", api.deleteJobByID)\n   104→\tr.Delete(\"/jobs/delete_job_before/{ts}\", api.deleteJobBefore)\n   105→\tr.Post(\"/jobs/{id}\", api.getJobByID)\n   106→\tr.Get(\"/jobs/{id}\", api.getCompleteJobByID)\n   107→\n   108→\tr.Delete(\"/tags/\", api.removeTags)\n   109→\n   110→\tif api.MachineStateDir != \"\" {\n   111→\t\tr.Get(\"/machine_state/{cluster}/{host}\", api.getMachineState)\n   112→\t\tr.Put(\"/machine_state/{cluster}/{host}\", api.putMachineState)\n   113→\t\tr.Post(\"/machine_state/{cluster}/{host}\", api.putMachineState)\n   114→\t}\n   115→}\n   116→\n   117→// MountUserAPIRoutes registers user-accessible REST API endpoints.\n   118→// These are limited endpoints for regular users with JWT token authentication.\n   119→func (api *RestAPI) MountUserAPIRoutes(r chi.Router) {\n   120→\t// REST API Uses TokenAuth\n   121→\tr.Get(\"/jobs/\", api.getJobs)\n   122→\tr.Post(\"/jobs/{id}\", api.getJobByID)\n   123→\tr.Get(\"/jobs/{id}\", api.getCompleteJobByID)\n   124→\tr.Get(\"/jobs/metrics/{id}\", api.getJobMetrics)\n   125→}\n   126→\n   127→// MountMetricStoreAPIRoutes registers metric storage API endpoints.\n   128→// These endpoints handle metric data ingestion and health checks with JWT token authentication.\n   129→func (api *RestAPI) MountMetricStoreAPIRoutes(r chi.Router) {\n   130→\t// REST API Uses TokenAuth\n   131→\tr.Post(\"/free\", freeMetrics)\n   132→\tr.Post(\"/write\", writeMetrics)\n   133→\tr.Get(\"/debug\", debugMetrics)\n   134→\tr.Post(\"/healthcheck\", api.updateNodeStates)\n   135→\t// Same endpoints but with trailing slash\n   136→\tr.Post(\"/free/\", freeMetrics)\n   137→\tr.Post(\"/write/\", writeMetrics)\n   138→\tr.Get(\"/debug/\", debugMetrics)\n   139→\tr.Post(\"/healthcheck/\", api.updateNodeStates)\n   140→}\n   141→\n   142→// MountConfigAPIRoutes registers configuration and user management endpoints.\n   143→// These routes use session-based authentication and require admin privileges.\n   144→// Routes use full paths (including /config prefix) to avoid conflicting with\n   145→// the /config page route when registered via Group instead of Route.\n   146→func (api *RestAPI) MountConfigAPIRoutes(r chi.Router) {\n   147→\t// Settings Frontend Uses SessionAuth\n   148→\tif api.Authentication != nil {\n   149→\t\tr.Get(\"/config/roles/\", api.getRoles)\n   150→\t\tr.Post(\"/config/users/\", api.createUser)\n   151→\t\tr.Put(\"/config/users/\", api.createUser)\n   152→\t\tr.Get(\"/config/users/\", api.getUsers)\n   153→\t\tr.Delete(\"/config/users/\", api.deleteUser)\n   154→\t\tr.Post(\"/config/user/{id}\", api.updateUser)\n   155→\t\tr.Post(\"/config/notice/\", api.editNotice)\n   156→\t\tr.Get(\"/config/taggers/\", api.getTaggers)\n   157→\t\tr.Post(\"/config/taggers/run/\", api.runTagger)\n   158→\t}\n   159→}\n   160→\n   161→// MountFrontendAPIRoutes registers frontend-specific API endpoints.\n   162→// These routes support JWT generation and user configuration updates with session authentication.\n   163→func (api *RestAPI) MountFrontendAPIRoutes(r chi.Router) {\n   164→\tr.Get(\"/logs/\", api.getJournalLog)\n   165→\t// Settings Frontend Uses SessionAuth\n   166→\tif api.Authentication != nil {\n   167→\t\tr.Get(\"/jwt/\", api.getJWT)\n   168→\t\tr.Post(\"/configuration/\", api.updateConfiguration)\n   169→\t}\n   170→}\n   171→\n   172→// ErrorResponse model\n   173→type ErrorResponse struct {\n   174→\t// Statustext of Errorcode\n   175→\tStatus string `json:\"status\"`\n   176→\tError  string `json:\"error\"` // Error Message\n   177→}\n   178→\n   179→// DefaultAPIResponse model\n   180→type DefaultAPIResponse struct {\n   181→\tMessage string `json:\"msg\"`\n   182→}\n   183→\n   184→// handleError writes a standardized JSON error response with the given status code.\n   185→// It logs the error at WARN level and ensures proper Content-Type headers are set.\n   186→func handleError(err error, statusCode int, rw http.ResponseWriter) {\n   187→\tcclog.Warnf(\"REST ERROR : %s\", err.Error())\n   188→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   189→\trw.WriteHeader(statusCode)\n   190→\tif err := json.NewEncoder(rw).Encode(ErrorResponse{\n   191→\t\tStatus: http.StatusText(statusCode),\n   192→\t\tError:  err.Error(),\n   193→\t}); err != nil {\n   194→\t\tcclog.Errorf(\"Failed to encode error response: %v\", err)\n   195→\t}\n   196→}\n   197→\n   198→// decode reads JSON from r into val with strict validation that rejects unknown fields.\n   199→func decode(r io.Reader, val any) error {\n   200→\tdec := json.NewDecoder(r)"}]},"uuid":"2e0a6cb3-1f28-46f1-87e6-a875039aa9d6","timestamp":"2026-03-16T10:18:58.656Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"3eddec24-5f8b-4434-a6a4-b70ad17f6140","timestamp":"2026-03-16T10:18:58.812Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"3eddec24-5f8b-4434-a6a4-b70ad17f6140","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:58.825Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01ALdPouxfK13qWn8xm2scWv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QmfGnBNV3YMSkcKJ6z4wjb","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":8581,"cache_read_input_tokens":32724,"cache_creation":{"ephemeral_5m_input_tokens":8581,"ephemeral_1h_input_tokens":0},"output_tokens":25,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7UaswaikLFwn5Yxwb","uuid":"23cdd152-f5cb-41ae-b643-7054ec852132"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"0bd3ee40-40ba-455c-9646-0d43ed7f8689","timestamp":"2026-03-16T10:18:58.825Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"0bd3ee40-40ba-455c-9646-0d43ed7f8689","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QmfGnBNV3YMSkcKJ6z4wjb","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package archiver provides asynchronous job archiving functionality for ClusterCockpit.\n     7→//\n     8→// The archiver runs a background worker goroutine that processes job archiving requests\n     9→// from a buffered channel. When jobs complete, their metric data is archived from the\n    10→// metric store to the configured archive backend (filesystem, S3, etc.).\n    11→//\n    12→// # Architecture\n    13→//\n    14→// The archiver uses a producer-consumer pattern:\n    15→//   - Producer: TriggerArchiving() sends jobs to archiveChannel\n    16→//   - Consumer: archivingWorker() processes jobs from the channel\n    17→//   - Coordination: sync.WaitGroup tracks pending archive operations\n    18→//\n    19→// # Lifecycle\n    20→//\n    21→//  1. Start(repo, ctx) - Initialize worker with context for cancellation\n    22→//  2. TriggerArchiving(job) - Queue job for archiving (called when job stops)\n    23→//  3. archivingWorker() - Background goroutine processes jobs\n    24→//  4. Shutdown(timeout) - Graceful shutdown with timeout\n    25→//\n    26→// # Graceful Shutdown\n    27→//\n    28→// The archiver supports graceful shutdown with configurable timeout:\n    29→//   - Closes channel to reject new jobs\n    30→//   - Waits for pending jobs to complete (up to timeout)\n    31→//   - Cancels context if timeout exceeded\n    32→//   - Ensures worker goroutine exits cleanly\n    33→//\n    34→// # Example Usage\n    35→//\n    36→//\t// Initialize archiver\n    37→//\tctx, cancel := context.WithCancel(context.Background())\n    38→//\tdefer cancel()\n    39→//\tarchiver.Start(jobRepository, ctx)\n    40→//\n    41→//\t// Trigger archiving when job completes\n    42→//\tarchiver.TriggerArchiving(job)\n    43→//\n    44→//\t// Graceful shutdown with 10 second timeout\n    45→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n    46→//\t    log.Printf(\"Archiver shutdown timeout: %v\", err)\n    47→//\t}\n    48→package archiver\n    49→\n    50→import (\n    51→\t\"context\"\n    52→\t\"fmt\"\n    53→\t\"sync\"\n    54→\t\"time\"\n    55→\n    56→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    57→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    58→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    59→\tsq \"github.com/Masterminds/squirrel\"\n    60→)\n    61→\n    62→var (\n    63→\tarchivePending sync.WaitGroup\n    64→\tarchiveChannel chan *schema.Job\n    65→\tjobRepo        *repository.JobRepository\n    66→\tshutdownCtx    context.Context\n    67→\tshutdownCancel context.CancelFunc\n    68→\tworkerDone     chan struct{}\n    69→)\n    70→\n    71→// Start initializes the archiver and starts the background worker goroutine.\n    72→//\n    73→// The archiver processes job archiving requests asynchronously via a buffered channel.\n    74→// Jobs are sent to the channel using TriggerArchiving() and processed by the worker.\n    75→//\n    76→// Parameters:\n    77→//   - r: JobRepository instance for database operations\n    78→//   - ctx: Context for cancellation (shutdown signal propagation)\n    79→//\n    80→// The worker goroutine will run until:\n    81→//   - ctx is cancelled (via parent shutdown)\n    82→//   - archiveChannel is closed (via Shutdown())\n    83→//\n    84→// Must be called before TriggerArchiving(). Safe to call only once.\n    85→func Start(r *repository.JobRepository, ctx context.Context) {\n    86→\tshutdownCtx, shutdownCancel = context.WithCancel(ctx)\n    87→\tarchiveChannel = make(chan *schema.Job, 128)\n    88→\tworkerDone = make(chan struct{})\n    89→\tjobRepo = r\n    90→\n    91→\tgo archivingWorker()\n    92→}\n    93→\n    94→// archivingWorker is the background goroutine that processes job archiving requests.\n    95→//\n    96→// The worker loop:\n    97→//  1. Blocks waiting for jobs on archiveChannel or shutdown signal\n    98→//  2. Fetches job metadata from repository\n    99→//  3. Archives job data to configured backend (calls ArchiveJob)\n   100→//  4. Updates job footprint and energy metrics in database\n   101→//  5. Marks job as successfully archived\n   102→//  6. Calls job stop hooks\n   103→//\n   104→// The worker exits when:\n   105→//   - shutdownCtx is cancelled (timeout during shutdown)\n   106→//   - archiveChannel is closed (normal shutdown)\n   107→//\n   108→// Errors during archiving are logged and the job is marked as failed,\n   109→// but the worker continues processing other jobs.\n   110→func archivingWorker() {\n   111→\tdefer close(workerDone)\n   112→\n   113→\tfor {\n   114→\t\tselect {\n   115→\t\tcase <-shutdownCtx.Done():\n   116→\t\t\tcclog.Info(\"Archive worker received shutdown signal\")\n   117→\t\t\treturn\n   118→\n   119→\t\tcase job, ok := <-archiveChannel:\n   120→\t\t\tif !ok {\n   121→\t\t\t\tcclog.Info(\"Archive channel closed, worker exiting\")\n   122→\t\t\t\treturn\n   123→\t\t\t}\n   124→\n   125→\t\t\tstart := time.Now()\n   126→\t\t\t// not using meta data, called to load JobMeta into Cache?\n   127→\t\t\t// will fail if job meta not in repository\n   128→\t\t\tif _, err := jobRepo.FetchMetadata(job); err != nil {\n   129→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at check metadata step: %s\", *job.ID, err.Error())\n   130→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n   131→\t\t\t\tarchivePending.Done()\n   132→\t\t\t\tcontinue\n   133→\t\t\t}\n   134→\n   135→\t\t\t// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend\n   136→\t\t\t// Use shutdown context to allow cancellation\n   137→\t\t\tjobMeta, err := ArchiveJob(job, shutdownCtx)\n   138→\t\t\tif err != nil {\n   139→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at archiving job step: %s\", *job.ID, err.Error())\n   140→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n   141→\t\t\t\tarchivePending.Done()\n   142→\t\t\t\tcontinue\n   143→\t\t\t}\n   144→\n   145→\t\t\tstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\n   146→\n   147→\t\t\tif stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {\n   148→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Footprint step: %s\", *job.ID, err.Error())\n   149→\t\t\t\tarchivePending.Done()\n   150→\t\t\t\tcontinue\n   151→\t\t\t}\n   152→\t\t\tif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta); err != nil {\n   153→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Energy step: %s\", *job.ID, err.Error())\n   154→\t\t\t\tarchivePending.Done()\n   155→\t\t\t\tcontinue\n   156→\t\t\t}\n   157→\t\t\t// Update the jobs database entry one last time:\n   158→\t\t\tstmt = jobRepo.MarkArchived(stmt, schema.MonitoringStatusArchivingSuccessful)\n   159→\t\t\tif err := jobRepo.Execute(stmt); err != nil {\n   160→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at db execute: %s\", *job.ID, err.Error())\n   161→\t\t\t\tarchivePending.Done()\n   162→\t\t\t\tcontinue\n   163→\t\t\t}\n   164→\t\t\tcclog.Debugf(\"archiving job %d took %s\", job.JobID, time.Since(start))\n   165→\t\t\tcclog.Infof(\"archiving job (dbid: %d) successful\", *job.ID)\n   166→\n   167→\t\t\trepository.CallJobStopHooks(job)\n   168→\t\t\tarchivePending.Done()\n   169→\t\t}\n   170→\t}\n   171→}\n   172→\n   173→// TriggerArchiving queues a job for asynchronous archiving.\n   174→//\n   175→// This function should be called when a job completes (stops) to archive its\n   176→// metric data from the metric store to the configured archive backend.\n   177→//\n   178→// The function:\n   179→//  1. Increments the pending job counter (WaitGroup)\n   180→//  2. Sends the job to the archiving channel (buffered, capacity 128)\n   181→//  3. Returns immediately (non-blocking unless channel is full)\n   182→//\n   183→// The actual archiving is performed asynchronously by the worker goroutine.\n   184→// Upon completion, the worker will decrement the pending counter.\n   185→//\n   186→// Panics if Start() has not been called first.\n   187→func TriggerArchiving(job *schema.Job) {\n   188→\tif archiveChannel == nil {\n   189→\t\tcclog.Fatal(\"Cannot archive without archiving channel. Did you Start the archiver?\")\n   190→\t}\n   191→\n   192→\tarchivePending.Add(1)\n   193→\tarchiveChannel <- job\n   194→}\n   195→\n   196→// Shutdown performs a graceful shutdown of the archiver with a configurable timeout.\n   197→//\n   198→// The shutdown process:\n   199→//  1. Closes archiveChannel - no new jobs will be accepted\n   200→//  2. Waits for pending jobs to complete (up to timeout duration)\n   201→//  3. If timeout is exceeded:\n   202→//     - Cancels shutdownCtx to interrupt ongoing ArchiveJob operations\n   203→//     - Returns error indicating timeout\n   204→//  4. Waits for worker goroutine to exit cleanly\n   205→//\n   206→// Parameters:\n   207→//   - timeout: Maximum duration to wait for pending jobs to complete\n   208→//     (recommended: 10-30 seconds for production)\n   209→//\n   210→// Returns:\n   211→//   - nil if all jobs completed within timeout\n   212→//   - error if timeout was exceeded (some jobs may not have been archived)\n   213→//\n   214→// Jobs that don't complete within the timeout will be marked as failed.\n   215→// The function always ensures the worker goroutine exits before returning.\n   216→//\n   217→// Example:\n   218→//\n   219→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n   220→//\t    log.Printf(\"Some jobs did not complete: %v\", err)\n   221→//\t}\n   222→func Shutdown(timeout time.Duration) error {\n   223→\tcclog.Info(\"Initiating archiver shutdown...\")\n   224→\n   225→\t// Close channel to signal no more jobs will be accepted\n   226→\tclose(archiveChannel)\n   227→\n   228→\t// Create a channel to signal when all jobs are done\n   229→\tdone := make(chan struct{})\n   230→\tgo func() {\n   231→\t\tarchivePending.Wait()\n   232→\t\tclose(done)\n   233→\t}()\n   234→\n   235→\t// Wait for jobs to complete or timeout\n   236→\tselect {\n   237→\tcase <-done:\n   238→\t\tcclog.Info(\"All archive jobs completed successfully\")\n   239→\t\t// Wait for worker to exit\n   240→\t\t<-workerDone\n   241→\t\treturn nil\n   242→\tcase <-time.After(timeout):\n   243→\t\tcclog.Warn(\"Archiver shutdown timeout exceeded, cancelling remaining operations\")\n   244→\t\t// Cancel any ongoing operations\n   245→\t\tshutdownCancel()\n   246→\t\t// Wait for worker to exit\n   247→\t\t<-workerDone\n   248→\t\treturn fmt.Errorf(\"archiver shutdown timeout after %v\", timeout)\n   249→\t}\n   250→}\n   251→"}]},"uuid":"8c03a830-9782-477c-ac56-dda860e00768","timestamp":"2026-03-16T10:18:58.827Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"570e734f-a5ca-413e-af11-088950cbbb65","timestamp":"2026-03-16T10:18:58.838Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"fe4f26ca-73ba-4d02-af6c-c25c65a02064","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TvXDoyQpRVirrkiiNAU6vk","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package metricstore provides an efficient in-memory time-series metric storage system\n     7→// with support for hierarchical data organization, checkpointing, and archiving.\n     8→//\n     9→// The package organizes metrics in a tree structure (cluster → host → component) and\n    10→// provides concurrent read/write access to metric data with configurable aggregation strategies.\n    11→// Background goroutines handle periodic checkpointing (JSON or Avro format), archiving old data,\n    12→// and enforcing retention policies.\n    13→//\n    14→// Key features:\n    15→//   - In-memory metric storage with configurable retention\n    16→//   - Hierarchical data organization (selectors)\n    17→//   - Concurrent checkpoint/archive workers\n    18→//   - Support for sum and average aggregation\n    19→//   - NATS integration for metric ingestion\n    20→package metricstore\n    21→\n    22→import (\n    23→\t\"bytes\"\n    24→\t\"context\"\n    25→\t\"encoding/json\"\n    26→\t\"errors\"\n    27→\t\"fmt\"\n    28→\t\"runtime\"\n    29→\t\"runtime/debug\"\n    30→\t\"slices\"\n    31→\t\"sync\"\n    32→\t\"time\"\n    33→\n    34→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    35→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    36→\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n    37→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    38→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n    39→)\n    40→\n    41→// GlobalState holds the global state for the metric store with thread-safe access.\n    42→type GlobalState struct {\n    43→\tmu                sync.RWMutex\n    44→\tlastRetentionTime int64\n    45→\tselectorsExcluded bool\n    46→}\n    47→\n    48→var (\n    49→\tsingleton  sync.Once\n    50→\tmsInstance *MemoryStore\n    51→\t// shutdownFunc stores the context cancellation function created in Init\n    52→\t// and is called during Shutdown to cancel all background goroutines\n    53→\tshutdownFunc   context.CancelFunc\n    54→\tshutdownFuncMu sync.Mutex // Protects shutdownFunc from concurrent access\n    55→\t// Create a global instance\n    56→\tstate = &GlobalState{}\n    57→)\n    58→\n    59→// NodeProvider provides information about nodes currently in use by running jobs.\n    60→//\n    61→// This interface allows metricstore to query job information without directly\n    62→// depending on the repository package, breaking the import cycle.\n    63→//\n    64→// Implementations should return nodes that are actively processing jobs started\n    65→// before the given timestamp. These nodes will be excluded from retention-based\n    66→// garbage collection to prevent data loss for jobs that are still running or\n    67→// recently completed.\n    68→type NodeProvider interface {\n    69→\t// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n    70→\t// that are currently in use by jobs that started before the given timestamp.\n    71→\t//\n    72→\t// Parameters:\n    73→\t//   - ts: Unix timestamp threshold - returns nodes with jobs started before this time\n    74→\t//\n    75→\t// Returns:\n    76→\t//   - Map of cluster names to lists of node hostnames that should be excluded from garbage collection\n    77→\t//   - Error if the query fails\n    78→\tGetUsedNodes(ts int64) (map[string][]string, error)\n    79→}\n    80→\n    81→// Metric represents a single metric data point to be written to the store.\n    82→type Metric struct {\n    83→\tName  string\n    84→\tValue schema.Float\n    85→\t// MetricConfig contains frequency and aggregation settings for this metric.\n    86→\t// If Frequency is 0, configuration will be looked up from MemoryStore.Metrics during Write().\n    87→\tMetricConfig MetricConfig\n    88→}\n    89→\n    90→// MemoryStore is the main in-memory time-series metric storage implementation.\n    91→//\n    92→// It organizes metrics in a hierarchical tree structure where each level represents\n    93→// a component of the system hierarchy (e.g., cluster → host → CPU). Each level can\n    94→// store multiple metrics as time-series buffers.\n    95→//\n    96→// The store is initialized as a singleton via InitMetrics() and accessed via GetMemoryStore().\n    97→// All public methods are safe for concurrent use.\n    98→type MemoryStore struct {\n    99→\tMetrics      map[string]MetricConfig\n   100→\troot         Level\n   101→\tnodeProvider NodeProvider\n   102→}\n   103→\n   104→// Init initializes the metric store from configuration and starts background workers.\n   105→//\n   106→// This function must be called exactly once before any other metricstore operations.\n   107→// It performs the following initialization steps:\n   108→//  1. Validates and decodes the metric store configuration\n   109→//  2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n   110→//  3. Loads metric configurations from all registered clusters\n   111→//  4. Restores checkpoints within the retention window\n   112→//  5. Starts background workers for retention, checkpointing, archiving, and monitoring\n   113→//  6. Optionally subscribes to NATS for real-time metric ingestion\n   114→//\n   115→// Parameters:\n   116→//   - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n   117→//   - wg: WaitGroup that will be incremented for each background goroutine started\n   118→//\n   119→// The function will call cclog.Fatal on critical errors during initialization.\n   120→// Use Shutdown() to cleanly stop all background workers started by Init().\n   121→//\n   122→// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n   123→// receiving termination signals to ensure checkpoint data is persisted.\n   124→func Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n   125→\tstartupTime := time.Now()\n   126→\n   127→\tif rawConfig != nil {\n   128→\t\tconfig.Validate(configSchema, rawConfig)\n   129→\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n   130→\t\tdec.DisallowUnknownFields()\n   131→\t\tif err := dec.Decode(&Keys); err != nil {\n   132→\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n   133→\t\t}\n   134→\t}\n   135→\n   136→\t// Set NumWorkers from config or use default\n   137→\tif Keys.NumWorkers <= 0 {\n   138→\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n   139→\t}\n   140→\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n   141→\n   142→\t// Pass the config.MetricStoreKeys\n   143→\tInitMetrics(metrics)\n   144→\n   145→\tms := GetMemoryStore()\n   146→\n   147→\td, err := time.ParseDuration(Keys.RetentionInMemory)\n   148→\tif err != nil {\n   149→\t\tcclog.Fatal(err)\n   150→\t}\n   151→\n   152→\trestoreFrom := startupTime.Add(-d)\n   153→\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n   154→\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n   155→\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n   156→\tif err != nil {\n   157→\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n   158→\t} else {\n   159→\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n   160→\t}\n   161→\n   162→\t// Try to use less memory by forcing a GC run here and then\n   163→\t// lowering the target percentage. The default of 100 means\n   164→\t// that only once the ratio of new allocations execeds the\n   165→\t// previously active heap, a GC is triggered.\n   166→\t// Forcing a GC here will set the \"previously active heap\"\n   167→\t// to a minumum.\n   168→\t// runtime.GC()\n   169→\n   170→\tctx, shutdown := context.WithCancel(context.Background())\n   171→\n   172→\tRetention(wg, ctx)\n   173→\tCheckpointing(wg, ctx)\n   174→\tCleanUp(wg, ctx)\n   175→\tWALStaging(wg, ctx)\n   176→\tMemoryUsageTracker(wg, ctx)\n   177→\n   178→\t// Note: Signal handling has been removed from this function.\n   179→\t// The caller is responsible for handling shutdown signals and calling\n   180→\t// the shutdown() function when appropriate.\n   181→\t// Store the shutdown function for later use by Shutdown()\n   182→\tshutdownFuncMu.Lock()\n   183→\tshutdownFunc = shutdown\n   184→\tshutdownFuncMu.Unlock()\n   185→\n   186→\tif Keys.Subscriptions != nil {\n   187→\t\terr = ReceiveNats(ms, 1, ctx)\n   188→\t\tif err != nil {\n   189→\t\t\tcclog.Fatal(err)\n   190→\t\t}\n   191→\t}\n   192→}\n   193→\n   194→// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n   195→//\n   196→// This function must be called before GetMemoryStore() and can only be called once due to\n   197→// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n   198→//\n   199→// Parameters:\n   200→//   - metrics: Map of metric names to their configurations (frequency and aggregation strategy)"}]},"uuid":"2950fd72-b369-478b-b67b-b5ac1cb2162f","timestamp":"2026-03-16T10:19:00.704Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"f2783f6a-6486-4b5f-9e19-a1986834a2cd","timestamp":"2026-03-16T10:19:01.368Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"7f802976-61d9-4ba6-9843-51f90faf2ec0","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LNZxs59YvZtpxmBzuRJnut","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package api provides the REST API layer for ClusterCockpit.\n     7→// It handles HTTP requests for job management, user administration,\n     8→// cluster queries, node state updates, and metrics storage operations.\n     9→// The API supports both JWT token authentication and session-based authentication.\n    10→package api\n    11→\n    12→import (\n    13→\t\"encoding/json\"\n    14→\t\"fmt\"\n    15→\t\"io\"\n    16→\t\"net/http\"\n    17→\t\"os\"\n    18→\t\"path/filepath\"\n    19→\t\"strings\"\n    20→\t\"sync\"\n    21→\n    22→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n    23→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    24→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    25→\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n    26→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    27→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    28→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n    29→\t\"github.com/go-chi/chi/v5\"\n    30→)\n    31→\n    32→// @title                      ClusterCockpit REST API\n    33→// @version                    1.0.0\n    34→// @description                API for batch job control.\n    35→\n    36→// @contact.name               ClusterCockpit Project\n    37→// @contact.url                https://github.com/ClusterCockpit\n    38→// @contact.email              support@clustercockpit.org\n    39→\n    40→// @license.name               MIT License\n    41→// @license.url                https://opensource.org/licenses/MIT\n    42→\n    43→// @host                       localhost:8080\n    44→\n    45→// @securityDefinitions.apikey ApiKeyAuth\n    46→// @in                         header\n    47→// @name                       X-Auth-Token\n    48→\n    49→const (\n    50→\tnoticeFilePath  = \"./var/notice.txt\"\n    51→\tnoticeFilePerms = 0o644\n    52→\tmaxNoticeLength = 10000 // Maximum allowed notice content length in characters\n    53→)\n    54→\n    55→type RestAPI struct {\n    56→\tJobRepository   *repository.JobRepository\n    57→\tAuthentication  *auth.Authentication\n    58→\tMachineStateDir string\n    59→\t// RepositoryMutex protects job creation operations from race conditions\n    60→\t// when checking for duplicate jobs during startJob API calls.\n    61→\t// It prevents concurrent job starts with the same jobId/cluster/startTime\n    62→\t// from creating duplicate entries in the database.\n    63→\tRepositoryMutex sync.Mutex\n    64→}\n    65→\n    66→// New creates and initializes a new RestAPI instance with configured dependencies.\n    67→func New() *RestAPI {\n    68→\treturn &RestAPI{\n    69→\t\tJobRepository:   repository.GetJobRepository(),\n    70→\t\tMachineStateDir: config.Keys.MachineStateDir,\n    71→\t\tAuthentication:  auth.GetAuthInstance(),\n    72→\t}\n    73→}\n    74→\n    75→// MountAPIRoutes registers REST API endpoints for job and cluster management.\n    76→// These routes use JWT token authentication via the X-Auth-Token header.\n    77→func (api *RestAPI) MountAPIRoutes(r chi.Router) {\n    78→\t// REST API Uses TokenAuth\n    79→\t// User List\n    80→\tr.Get(\"/users/\", api.getUsers)\n    81→\t// Cluster List\n    82→\tr.Get(\"/clusters/\", api.getClusters)\n    83→\t// Slurm node state\n    84→\tr.Post(\"/nodestate/\", api.updateNodeStates)\n    85→\tr.Put(\"/nodestate/\", api.updateNodeStates)\n    86→\t// Job Handler\n    87→\tif config.Keys.APISubjects == nil {\n    88→\t\tcclog.Info(\"Enabling REST start/stop job API\")\n    89→\t\tr.Post(\"/jobs/start_job/\", api.startJob)\n    90→\t\tr.Put(\"/jobs/start_job/\", api.startJob)\n    91→\t\tr.Post(\"/jobs/stop_job/\", api.stopJobByRequest)\n    92→\t\tr.Put(\"/jobs/stop_job/\", api.stopJobByRequest)\n    93→\t}\n    94→\tr.Get(\"/jobs/\", api.getJobs)\n    95→\tr.Get(\"/jobs/used_nodes\", api.getUsedNodes)\n    96→\tr.Post(\"/jobs/tag_job/{id}\", api.tagJob)\n    97→\tr.Patch(\"/jobs/tag_job/{id}\", api.tagJob)\n    98→\tr.Delete(\"/jobs/tag_job/{id}\", api.removeTagJob)\n    99→\tr.Patch(\"/jobs/edit_meta/{id}\", api.editMeta)\n   100→\tr.Patch(\"/jobs/edit_meta/\", api.editMetaByRequest)\n   101→\tr.Get(\"/jobs/metrics/{id}\", api.getJobMetrics)\n   102→\tr.Delete(\"/jobs/delete_job/\", api.deleteJobByRequest)\n   103→\tr.Delete(\"/jobs/delete_job/{id}\", api.deleteJobByID)\n   104→\tr.Delete(\"/jobs/delete_job_before/{ts}\", api.deleteJobBefore)\n   105→\tr.Post(\"/jobs/{id}\", api.getJobByID)\n   106→\tr.Get(\"/jobs/{id}\", api.getCompleteJobByID)\n   107→\n   108→\tr.Delete(\"/tags/\", api.removeTags)\n   109→\n   110→\tif api.MachineStateDir != \"\" {\n   111→\t\tr.Get(\"/machine_state/{cluster}/{host}\", api.getMachineState)\n   112→\t\tr.Put(\"/machine_state/{cluster}/{host}\", api.putMachineState)\n   113→\t\tr.Post(\"/machine_state/{cluster}/{host}\", api.putMachineState)\n   114→\t}\n   115→}\n   116→\n   117→// MountUserAPIRoutes registers user-accessible REST API endpoints.\n   118→// These are limited endpoints for regular users with JWT token authentication.\n   119→func (api *RestAPI) MountUserAPIRoutes(r chi.Router) {\n   120→\t// REST API Uses TokenAuth\n   121→\tr.Get(\"/jobs/\", api.getJobs)\n   122→\tr.Post(\"/jobs/{id}\", api.getJobByID)\n   123→\tr.Get(\"/jobs/{id}\", api.getCompleteJobByID)\n   124→\tr.Get(\"/jobs/metrics/{id}\", api.getJobMetrics)\n   125→}\n   126→\n   127→// MountMetricStoreAPIRoutes registers metric storage API endpoints.\n   128→// These endpoints handle metric data ingestion and health checks with JWT token authentication.\n   129→func (api *RestAPI) MountMetricStoreAPIRoutes(r chi.Router) {\n   130→\t// REST API Uses TokenAuth\n   131→\tr.Post(\"/free\", freeMetrics)\n   132→\tr.Post(\"/write\", writeMetrics)\n   133→\tr.Get(\"/debug\", debugMetrics)\n   134→\tr.Post(\"/healthcheck\", api.updateNodeStates)\n   135→\t// Same endpoints but with trailing slash\n   136→\tr.Post(\"/free/\", freeMetrics)\n   137→\tr.Post(\"/write/\", writeMetrics)\n   138→\tr.Get(\"/debug/\", debugMetrics)\n   139→\tr.Post(\"/healthcheck/\", api.updateNodeStates)\n   140→}\n   141→\n   142→// MountConfigAPIRoutes registers configuration and user management endpoints.\n   143→// These routes use session-based authentication and require admin privileges.\n   144→// Routes use full paths (including /config prefix) to avoid conflicting with\n   145→// the /config page route when registered via Group instead of Route.\n   146→func (api *RestAPI) MountConfigAPIRoutes(r chi.Router) {\n   147→\t// Settings Frontend Uses SessionAuth\n   148→\tif api.Authentication != nil {\n   149→\t\tr.Get(\"/config/roles/\", api.getRoles)\n   150→\t\tr.Post(\"/config/users/\", 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+{"parentUuid":"0ac4840d-8ce1-4864-ba76-57f99504b7ef","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LsPHTrPSnt2Estx2sBx8ai","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"encoding/json\"\n    10→\t\"fmt\"\n    11→\n    12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    14→\tsq \"github.com/Masterminds/squirrel\"\n    15→)\n    16→\n    17→const NamedJobCacheInsert string = `INSERT INTO job_cache (\n    18→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n    19→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n    20→) VALUES (\n    21→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n    22→  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n    23→);`\n    24→\n    25→const NamedJobInsert string = `INSERT INTO job (\n    26→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n    27→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n    28→) VALUES (\n    29→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n    30→  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n    31→);`\n    32→\n    33→// InsertJobDirect inserts a job directly into the job table (not job_cache).\n    34→// Use this when the returned ID will be used for operations on the job table\n    35→// (e.g., adding tags), or for imported jobs that are already completed.\n    36→func (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n    37→\tr.Mutex.Lock()\n    38→\tdefer r.Mutex.Unlock()\n    39→\n    40→\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n    41→\tif err != nil {\n    42→\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n    43→\t\treturn 0, err\n    44→\t}\n    45→\tid, err := res.LastInsertId()\n    46→\tif err != nil {\n    47→\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n    48→\t\treturn 0, err\n    49→\t}\n    50→\n    51→\treturn id, nil\n    52→}\n    53→\n    54→func (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n    55→\tr.Mutex.Lock()\n    56→\tdefer r.Mutex.Unlock()\n    57→\n    58→\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n    59→\tif err != nil {\n    60→\t\tcclog.Warn(\"Error while NamedJobInsert\")\n    61→\t\treturn 0, err\n    62→\t}\n    63→\tid, err := res.LastInsertId()\n    64→\tif err != nil {\n    65→\t\tcclog.Warn(\"Error while getting last insert ID\")\n    66→\t\treturn 0, err\n    67→\t}\n    68→\n    69→\treturn id, nil\n    70→}\n    71→\n    72→func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n    73→\tr.Mutex.Lock()\n    74→\tdefer r.Mutex.Unlock()\n    75→\n    76→\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n    77→\n    78→\trows, err := query.RunWith(r.stmtCache).Query()\n    79→\tif err != nil {\n    80→\t\tcclog.Errorf(\"Error while running query %v\", err)\n    81→\t\treturn nil, err\n    82→\t}\n    83→\tdefer rows.Close()\n    84→\n    85→\tjobs := make([]*schema.Job, 0, 50)\n    86→\tfor rows.Next() {\n    87→\t\tjob, err := scanJob(rows)\n    88→\t\tif err != nil {\n    89→\t\t\tcclog.Warn(\"Error while scanning rows\")\n    90→\t\t\treturn nil, err\n    91→\t\t}\n    92→\t\tjobs = append(jobs, job)\n    93→\t}\n    94→\n    95→\t// Transfer cached jobs to main table and clear cache in a single transaction.\n    96→\ttx, err := r.DB.Beginx()\n    97→\tif err != nil {\n    98→\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n    99→\t\treturn nil, err\n   100→\t}\n   101→\tdefer tx.Rollback()\n   102→\n   103→\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n   104→\t_, err = tx.Exec(\n   105→\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n   106→\tif err != nil {\n   107→\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n   108→\t\treturn nil, err\n   109→\t}\n   110→\n   111→\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n   112→\tif err != nil {\n   113→\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n   114→\t\treturn nil, err\n   115→\t}\n   116→\n   117→\tif err := tx.Commit(); err != nil {\n   118→\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n   119→\t\treturn nil, err\n   120→\t}\n   121→\n   122→\t// Resolve correct job.id from the job table. The IDs read from job_cache\n   123→\t// are from a different auto-increment sequence and must not be used to\n   124→\t// query the job table.\n   125→\tfor _, job := range jobs {\n   126→\t\tvar newID int64\n   127→\t\tif err := sq.Select(\"job.id\").From(\"job\").\n   128→\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n   129→\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n   130→\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n   131→\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n   132→\t\t\t\tjob.JobID, job.Cluster, err)\n   133→\t\t\tcontinue\n   134→\t\t}\n   135→\t\tjob.ID = &newID\n   136→\t}\n   137→\n   138→\treturn jobs, nil\n   139→}\n   140→\n   141→// TransferCachedJobToMain moves a job from job_cache to the job table.\n   142→// Caller must hold r.Mutex. Returns the new job table ID.\n   143→func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n   144→\tres, err := r.DB.Exec(\n   145→\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n   146→\t\tcacheID)\n   147→\tif err != nil {\n   148→\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n   149→\t}\n   150→\n   151→\tnewID, err := res.LastInsertId()\n   152→\tif err != nil {\n   153→\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n   154→\t}\n   155→\n   156→\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n   157→\tif err != nil {\n   158→\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n   159→\t}\n   160→\n   161→\treturn newID, nil\n   162→}\n   163→\n   164→// Start inserts a new job in the table, returning the unique job ID.\n   165→// Statistics are not transfered!\n   166→func (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n   167→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   168→\tif err != nil {\n   169→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n   170→\t}\n   171→\n   172→\tjob.RawResources, err = json.Marshal(job.Resources)\n   173→\tif err != nil {\n   174→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n   175→\t}\n   176→\n   177→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n   178→\tif err != nil {\n   179→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n   180→\t}\n   181→\n   182→\treturn r.InsertJob(job)\n   183→}\n   184→\n   185→// StartDirect inserts a new job directly into the job table (not job_cache).\n   186→// Use this when the returned ID will immediately be used for job table\n   187→// operations such as adding tags.\n   188→func (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n   189→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   190→\tif err != nil {\n   191→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n   192→\t}\n   193→\n   194→\tjob.RawResources, err = json.Marshal(job.Resources)\n   195→\tif err != nil {\n   196→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n   197→\t}\n   198→\n   199→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n   200→\tif err != nil {\n   201→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n   202→\t}\n   203→\n   204→\treturn r.InsertJobDirect(job)\n   205→}\n   206→\n   207→// Stop updates the job with the database id jobId using the provided arguments.\n   208→func (r *JobRepository) Stop(\n   209→\tjobID int64,\n   210→\tduration int32,\n   211→\tstate schema.JobState,\n   212→\tmonitoringStatus int32,\n   213→) (err error) {\n   214→\t// Invalidate cache entries as job state is changing\n   215→\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n   216→\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n   217→\n   218→\tstmt := sq.Update(\"job\").\n   219→\t\tSet(\"job_state\", state).\n   220→\t\tSet(\"duration\", duration).\n   221→\t\tSet(\"monitoring_status\", monitoringStatus).\n   222→\t\tWhere(\"job.id = ?\", jobID)\n   223→\n   224→\t_, err = stmt.RunWith(r.stmtCache).Exec()\n   225→\treturn err\n   226→}\n   227→"}]},"uuid":"68d5eef7-19ca-4774-957f-4b6683917bf2","timestamp":"2026-03-16T10:19:02.479Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"1aab2bb2-b3e6-429f-99e9-6dc7e02162dc","timestamp":"2026-03-16T10:19:02.733Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"096be93c-f01e-4116-85f9-ba78b99ab30f","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Q56Kd1KsrdTWnGABXTQUbm","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"sync\"\n    10→\n    11→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    12→)\n    13→\n    14→// JobHook interface allows external components to hook into job lifecycle events.\n    15→// Implementations can perform actions when jobs start or stop, such as tagging,\n    16→// logging, notifications, or triggering external workflows.\n    17→//\n    18→// Example implementation:\n    19→//\n    20→//\ttype MyJobTagger struct{}\n    21→//\n    22→//\tfunc (t *MyJobTagger) JobStartCallback(job *schema.Job) {\n    23→//\t    if job.NumNodes > 100 {\n    24→//\t        // Tag large jobs automatically\n    25→//\t    }\n    26→//\t}\n    27→//\n    28→//\tfunc (t *MyJobTagger) JobStopCallback(job *schema.Job) {\n    29→//\t    if job.State == schema.JobStateFailed {\n    30→//\t        // Log or alert on failed jobs\n    31→//\t    }\n    32→//\t}\n    33→//\n    34→// Register hooks during application initialization:\n    35→//\n    36→//\trepository.RegisterJobHook(&MyJobTagger{})\n    37→type JobHook interface {\n    38→\t// JobStartCallback is invoked when one or more jobs start.\n    39→\t// This is called synchronously, so implementations should be fast.\n    40→\tJobStartCallback(job *schema.Job)\n    41→\n    42→\t// JobStopCallback is invoked when a job completes.\n    43→\t// This is called synchronously, so implementations should be fast.\n    44→\tJobStopCallback(job *schema.Job)\n    45→}\n    46→\n    47→var (\n    48→\tinitOnce sync.Once\n    49→\thooks    []JobHook\n    50→)\n    51→\n    52→// RegisterJobHook registers a JobHook to receive job lifecycle callbacks.\n    53→// Multiple hooks can be registered and will be called in registration order.\n    54→// This function is safe to call multiple times and is typically called during\n    55→// application initialization.\n    56→//\n    57→// Nil hooks are silently ignored to simplify conditional registration.\n    58→func RegisterJobHook(hook JobHook) {\n    59→\tinitOnce.Do(func() {\n    60→\t\thooks = make([]JobHook, 0)\n    61→\t})\n    62→\n    63→\tif hook != nil {\n    64→\t\thooks = append(hooks, hook)\n    65→\t}\n    66→}\n    67→\n    68→// CallJobStartHooks invokes all registered JobHook.JobStartCallback methods\n    69→// for each job in the provided slice. This is called internally by the repository\n    70→// when jobs are started (e.g., via StartJob or batch job imports).\n    71→//\n    72→// Hooks are called synchronously in registration order. If a hook panics,\n    73→// the panic will propagate to the caller.\n    74→func CallJobStartHooks(jobs []*schema.Job) {\n    75→\tif hooks == nil {\n    76→\t\treturn\n    77→\t}\n    78→\n    79→\tfor _, hook := range hooks {\n    80→\t\tif hook != nil {\n    81→\t\t\tfor _, job := range jobs {\n    82→\t\t\t\thook.JobStartCallback(job)\n    83→\t\t\t}\n    84→\t\t}\n    85→\t}\n    86→}\n    87→\n    88→// CallJobStopHooks invokes all registered JobHook.JobStopCallback methods\n    89→// for the provided job. This is called internally by the repository when a\n    90→// job completes (e.g., via StopJob or job state updates).\n    91→//\n    92→// Hooks are called synchronously in registration order. If a hook panics,\n    93→// the panic will propagate to the caller.\n    94→func CallJobStopHooks(job *schema.Job) {\n    95→\tif hooks == nil {\n    96→\t\treturn\n    97→\t}\n    98→\n    99→\tfor _, hook := range hooks {\n   100→\t\tif hook != nil {\n   101→\t\t\thook.JobStopCallback(job)\n   102→\t\t}\n   103→\t}\n   104→}\n   105→"}]},"uuid":"05632aaf-09b7-49dc-9f0d-bef792d1b4ab","timestamp":"2026-03-16T10:19:02.791Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"a36d5096-d21b-47f0-8b87-06c60ecd5fdd","timestamp":"2026-03-16T10:19:02.805Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"a36d5096-d21b-47f0-8b87-06c60ecd5fdd","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:02.942Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01A5fp48JLodDTqUvyZLsqG1","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Bi1LCZzLc9aRRiSvZTFx19","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/config.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":887,"cache_read_input_tokens":94870,"cache_creation":{"ephemeral_5m_input_tokens":887,"ephemeral_1h_input_tokens":0},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7iqdEG6srZ9LfpkQV","uuid":"10ace628-ff89-413e-9f33-5f307676cb9d"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"06874574-1671-41e1-b217-b43ab9f97416","timestamp":"2026-03-16T10:19:02.943Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"06874574-1671-41e1-b217-b43ab9f97416","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Bi1LCZzLc9aRRiSvZTFx19","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import \"time\"\n     9→\n    10→// RepositoryConfig holds configuration for repository operations.\n    11→// All fields have sensible defaults, so this configuration is optional.\n    12→type RepositoryConfig struct {\n    13→\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n    14→\t// Default: 1MB (1024 * 1024 bytes)\n    15→\tCacheSize int\n    16→\n    17→\t// MaxOpenConnections is the maximum number of open database connections.\n    18→\t// Default: 4\n    19→\tMaxOpenConnections int\n    20→\n    21→\t// MaxIdleConnections is the maximum number of idle database connections.\n    22→\t// Default: 4\n    23→\tMaxIdleConnections int\n    24→\n    25→\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n    26→\t// Default: 1 hour\n    27→\tConnectionMaxLifetime time.Duration\n    28→\n    29→\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n    30→\t// Default: 10 minutes\n    31→\tConnectionMaxIdleTime time.Duration\n    32→\n    33→\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n    34→\t// considered in \"running jobs\" queries. This filters out very short jobs.\n    35→\t// Default: 600 seconds (10 minutes)\n    36→\tMinRunningJobDuration int\n    37→\n    38→\t// DbCacheSizeMB is the SQLite page cache size per connection in MB.\n    39→\t// Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n    40→\t// and DbCacheSizeMB=2048, total page cache is up to 8GB.\n    41→\t// Default: 2048 (2GB)\n    42→\tDbCacheSizeMB int\n    43→\n    44→\t// DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n    45→\t// SQLite will try to release cache pages to stay under this limit.\n    46→\t// It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n    47→\t// Default: 16384 (16GB)\n    48→\tDbSoftHeapLimitMB int\n    49→\n    50→\t// BusyTimeoutMs is the SQLite busy_timeout in milliseconds.\n    51→\t// When a write is blocked by another writer, SQLite retries internally\n    52→\t// using a backoff mechanism for up to this duration before returning SQLITE_BUSY.\n    53→\t// Default: 60000 (60 seconds)\n    54→\tBusyTimeoutMs int\n    55→}\n    56→\n    57→// DefaultConfig returns the default repository configuration.\n    58→// These values are optimized for typical deployments.\n    59→func DefaultConfig() *RepositoryConfig {\n    60→\treturn &RepositoryConfig{\n    61→\t\tCacheSize:             1 * 1024 * 1024, // 1MB\n    62→\t\tMaxOpenConnections:    4,\n    63→\t\tMaxIdleConnections:    4,\n    64→\t\tConnectionMaxLifetime: time.Hour,\n    65→\t\tConnectionMaxIdleTime: 10 * time.Minute,\n    66→\t\tMinRunningJobDuration: 600, // 10 minutes\n    67→\t\tDbCacheSizeMB:        2048,  // 2GB per connection\n    68→\t\tDbSoftHeapLimitMB:    16384, // 16GB process-wide\n    69→\t\tBusyTimeoutMs:        60000, // 60 seconds\n    70→\t}\n    71→}\n    72→\n    73→// repoConfig is the package-level configuration instance.\n    74→// It is initialized with defaults and can be overridden via SetConfig.\n    75→var repoConfig *RepositoryConfig = DefaultConfig()\n    76→\n    77→// SetConfig sets the repository configuration.\n    78→// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n    79→// If not called, default values from DefaultConfig() are used.\n    80→func SetConfig(cfg *RepositoryConfig) {\n    81→\tif cfg != nil {\n    82→\t\trepoConfig = cfg\n    83→\t}\n    84→}\n    85→\n    86→// GetConfig returns the current repository configuration.\n    87→func GetConfig() *RepositoryConfig {\n    88→\treturn repoConfig\n    89→}\n    90→"}]},"uuid":"b52aab3d-70ab-4612-ab88-21bf16ecfd5f","timestamp":"2026-03-16T10:19:02.952Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"13ac3caa-bfc8-42de-8a2e-6d97a9a25fee","timestamp":"2026-03-16T10:19:02.963Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"13ac3caa-bfc8-42de-8a2e-6d97a9a25fee","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:03.249Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01GyWTgPCodqRdXWs2Xtqnf9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KyfFdLVrZr5BhrZzGeEYuR","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go","limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":3652,"cache_read_input_tokens":47867,"cache_creation":{"ephemeral_5m_input_tokens":3652,"ephemeral_1h_input_tokens":0},"output_tokens":18,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7nWPY1M4kbgthYUgQ","uuid":"5a0fc9cf-8ece-4061-ad34-30078c5300bc"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"9b943414-b0f7-4dde-8d10-192d4b43b05b","timestamp":"2026-03-16T10:19:03.250Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"9b943414-b0f7-4dde-8d10-192d4b43b05b","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KyfFdLVrZr5BhrZzGeEYuR","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// This file implements checkpoint persistence for the in-memory metric store.\n     7→//\n     8→// Checkpoints enable graceful restarts by periodically saving in-memory metric\n     9→// data to disk in JSON or binary format. The checkpoint system:\n    10→//\n    11→// Key Features:\n    12→//   - Periodic background checkpointing via the Checkpointing() worker\n    13→//   - Two format families: JSON (human-readable) and WAL+binary (compact, crash-safe)\n    14→//   - Parallel checkpoint creation and loading using worker pools\n    15→//   - Hierarchical file organization: checkpoint_dir/cluster/host/timestamp.{json|bin}\n    16→//   - WAL file: checkpoint_dir/cluster/host/current.wal (append-only, per-entry)\n    17→//   - Only saves unarchived data (archived data is already persisted elsewhere)\n    18→//   - GC optimization during loading to prevent excessive heap growth\n    19→//\n    20→// Checkpoint Workflow:\n    21→//  1. Init() loads checkpoints within retention window at startup\n    22→//  2. Checkpointing() worker periodically saves new data\n    23→//  3. Shutdown() writes final checkpoint before exit\n    24→//\n    25→// File Organization:\n    26→//\n    27→//\tcheckpoints/\n    28→//\t  cluster1/\n    29→//\t    host001/\n    30→//\t      1234567890.json  (JSON format: full subtree snapshot)\n    31→//\t      1234567890.bin   (binary format: full subtree snapshot)\n    32→//\t      current.wal      (WAL format: append-only per-entry log)\n    33→//\t    host002/\n    34→//\t      ...\n    35→package metricstore\n    36→\n    37→import (\n    38→\t\"bufio\"\n    39→\t\"context\"\n    40→\t\"encoding/json\"\n    41→\t\"errors\"\n    42→\t\"fmt\"\n    43→\t\"io/fs\"\n    44→\t\"os\"\n    45→\t\"path\"\n    46→\t\"path/filepath\"\n    47→\t\"sort\"\n    48→\t\"strconv\"\n    49→\t\"strings\"\n    50→\t\"sync\"\n    51→\t\"sync/atomic\"\n    52→\t\"time\"\n    53→\n    54→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    55→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    56→)\n    57→\n    58→const (\n    59→\tCheckpointFilePerms = 0o644                    // File permissions for checkpoint files\n    60→\tCheckpointDirPerms  = 0o755                    // Directory permissions for checkpoint directories\n    61→\tGCTriggerInterval   = DefaultGCTriggerInterval // Interval for triggering GC during checkpoint loading\n    62→)\n    63→\n    64→// CheckpointMetrics represents metric data in a checkpoint file.\n    65→// Whenever the structure changes, update MarshalJSON as well!\n    66→type CheckpointMetrics struct {\n    67→\tData      []schema.Float `json:\"data\"`\n    68→\tFrequency int64          `json:\"frequency\"`\n    69→\tStart     int64          `json:\"start\"`\n    70→}\n    71→\n    72→// CheckpointFile represents the hierarchical structure of a checkpoint file.\n    73→// It mirrors the Level tree structure from the MemoryStore.\n    74→type CheckpointFile struct {\n    75→\tMetrics  map[string]*CheckpointMetrics `json:\"metrics\"`\n    76→\tChildren map[string]*CheckpointFile    `json:\"children\"`\n    77→\tFrom     int64                         `json:\"from\"`\n    78→\tTo       int64                         `json:\"to\"`\n    79→}\n    80→\n    81→// lastCheckpoint tracks the timestamp of the last checkpoint creation.\n    82→var (\n    83→\tlastCheckpoint   time.Time\n    84→\tlastCheckpointMu sync.Mutex\n    85→)\n    86→\n    87→// Checkpointing starts a background worker that periodically saves metric data to disk.\n    88→//\n    89→// Checkpoints are written every 12 hours (hardcoded).\n    90→//\n    91→// Format behaviour:\n    92→//   - \"json\": Periodic checkpointing every checkpointInterval\n    93→//   - \"wal\":  Periodic binary snapshots + WAL rotation every checkpointInterval\n    94→func Checkpointing(wg *sync.WaitGroup, ctx context.Context) {\n    95→\tlastCheckpointMu.Lock()\n    96→\tlastCheckpoint = time.Now()\n    97→\tlastCheckpointMu.Unlock()\n    98→\n    99→\tms := GetMemoryStore()\n   100→\n   101→\twg.Go(func() {\n   102→\n   103→\t\td := 12 * time.Hour // default checkpoint interval\n   104→\t\tif Keys.CheckpointInterval != \"\" {\n   105→\t\t\tparsed, err := time.ParseDuration(Keys.CheckpointInterval)\n   106→\t\t\tif err != nil {\n   107→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> invalid checkpoint-interval %q: %s, using default 12h\", Keys.CheckpointInterval, err)\n   108→\t\t\t} else {\n   109→\t\t\t\td = parsed\n   110→\t\t\t}\n   111→\t\t}\n   112→\n   113→\t\tticker := time.NewTicker(d)\n   114→\t\tdefer ticker.Stop()\n   115→\n   116→\t\tfor {\n   117→\t\t\tselect {\n   118→\t\t\tcase <-ctx.Done():\n   119→\t\t\t\treturn\n   120→\t\t\tcase <-ticker.C:\n   121→\t\t\t\tlastCheckpointMu.Lock()\n   122→\t\t\t\tfrom := lastCheckpoint\n   123→\t\t\t\tlastCheckpointMu.Unlock()\n   124→\n   125→\t\t\t\tnow := time.Now()\n   126→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start checkpointing (starting at %s)...\", from.Format(time.RFC3339))\n   127→\n   128→\t\t\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n   129→\t\t\t\t\tn, hostDirs, err := ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), now.Unix())\n   130→\t\t\t\t\tif err != nil {\n   131→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpointing failed: %s\", err.Error())\n   132→\t\t\t\t\t} else {\n   133→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d binary snapshot files created\", n)\n   134→\t\t\t\t\t\tlastCheckpointMu.Lock()\n   135→\t\t\t\t\t\tlastCheckpoint = now\n   136→\t\t\t\t\t\tlastCheckpointMu.Unlock()\n   137→\t\t\t\t\t\t// Rotate WAL files for successfully checkpointed hosts.\n   138→\t\t\t\t\t\tRotateWALFiles(hostDirs)\n   139→\t\t\t\t\t}\n   140→\t\t\t\t} else {\n   141→\t\t\t\t\tn, err := ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), now.Unix())\n   142→\t\t\t\t\tif err != nil {\n   143→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> checkpointing failed: %s\", err.Error())\n   144→\t\t\t\t\t} else {\n   145→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files created\", n)\n   146→\t\t\t\t\t\tlastCheckpointMu.Lock()\n   147→\t\t\t\t\t\tlastCheckpoint = now\n   148→\t\t\t\t\t\tlastCheckpointMu.Unlock()\n   149→\t\t\t\t\t}\n   150→\t\t\t\t}"}]},"uuid":"2e62ad0e-e1ca-4a62-8920-adefada05ab4","timestamp":"2026-03-16T10:19:03.257Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"08bc3ea6-5a29-40ce-a454-517965a2df69","timestamp":"2026-03-16T10:19:03.412Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"62950f86-d692-4cd6-80d5-c9ab75652eb6","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PKpit9DLQd9NqwBkhNcXKB","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package metricstore\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"errors\"\n    11→\t\"fmt\"\n    12→\t\"os\"\n    13→\t\"path/filepath\"\n    14→\t\"sync\"\n    15→\t\"sync/atomic\"\n    16→\t\"time\"\n    17→\n    18→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    19→)\n    20→\n    21→// Worker for either Archiving or Deleting files\n    22→\n    23→func CleanUp(wg *sync.WaitGroup, ctx context.Context) {\n    24→\tif Keys.Cleanup.Mode == \"archive\" {\n    25→\t\t// Run as Archiver\n    26→\t\tcleanUpWorker(wg, ctx,\n    27→\t\t\tKeys.RetentionInMemory,\n    28→\t\t\t\"archiving\",\n    29→\t\t\tKeys.Cleanup.RootDir,\n    30→\t\t\tfalse,\n    31→\t\t)\n    32→\t} else {\n    33→\t\t// Run as Deleter\n    34→\t\tcleanUpWorker(wg, ctx,\n    35→\t\t\tKeys.RetentionInMemory,\n    36→\t\t\t\"deleting\",\n    37→\t\t\t\"\",\n    38→\t\t\ttrue,\n    39→\t\t)\n    40→\t}\n    41→}\n    42→\n    43→// cleanUpWorker takes simple values to configure what it does\n    44→func cleanUpWorker(wg *sync.WaitGroup, ctx context.Context, interval string, mode string, cleanupDir string, delete bool) {\n    45→\twg.Go(func() {\n    46→\n    47→\t\td, err := time.ParseDuration(interval)\n    48→\t\tif err != nil {\n    49→\t\t\tcclog.Fatalf(\"[METRICSTORE]> error parsing %s interval duration: %v\\n\", mode, err)\n    50→\t\t}\n    51→\t\tif d <= 0 {\n    52→\t\t\treturn\n    53→\t\t}\n    54→\n    55→\t\tticker := time.NewTicker(d)\n    56→\t\tdefer ticker.Stop()\n    57→\n    58→\t\tfor {\n    59→\t\t\tselect {\n    60→\t\t\tcase <-ctx.Done():\n    61→\t\t\t\treturn\n    62→\t\t\tcase <-ticker.C:\n    63→\t\t\t\tt := time.Now().Add(-d)\n    64→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start %s checkpoints (older than %s)...\", mode, t.Format(time.RFC3339))\n    65→\n    66→\t\t\t\tn, err := CleanupCheckpoints(Keys.Checkpoints.RootDir, cleanupDir, t.Unix(), delete)\n    67→\n    68→\t\t\t\tif err != nil {\n    69→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> %s failed: %s\", mode, err.Error())\n    70→\t\t\t\t} else {\n    71→\t\t\t\t\tif delete {\n    72→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoints deleted\", n)\n    73→\t\t\t\t\t} else {\n    74→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files archived to parquet\", n)\n    75→\t\t\t\t\t}\n    76→\t\t\t\t}\n    77→\t\t\t}\n    78→\t\t}\n    79→\t})\n    80→}\n    81→\n    82→var ErrNoNewArchiveData error = errors.New(\"all data already archived\")\n    83→\n    84→// CleanupCheckpoints deletes or archives all checkpoint files older than `from`.\n    85→// When archiving, consolidates all hosts per cluster into a single Parquet file.\n    86→func CleanupCheckpoints(checkpointsDir, cleanupDir string, from int64, deleteInstead bool) (int, error) {\n    87→\tif deleteInstead {\n    88→\t\treturn deleteCheckpoints(checkpointsDir, from)\n    89→\t}\n    90→\n    91→\treturn archiveCheckpoints(checkpointsDir, cleanupDir, from)\n    92→}\n    93→\n    94→// deleteCheckpoints removes checkpoint files older than `from` across all clusters/hosts.\n    95→func deleteCheckpoints(checkpointsDir string, from int64) (int, error) {\n    96→\tentries1, err := os.ReadDir(checkpointsDir)\n    97→\tif err != nil {\n    98→\t\treturn 0, err\n    99→\t}\n   100→\n   101→\ttype workItem struct {\n   102→\t\tdir            string\n   103→\t\tcluster, host  string\n   104→\t}\n   105→\n   106→\tvar wg sync.WaitGroup\n   107→\tn, errs := int32(0), int32(0)\n   108→\twork := make(chan workItem, Keys.NumWorkers)\n   109→\n   110→\twg.Add(Keys.NumWorkers)\n   111→\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n   112→\t\tgo func() {\n   113→\t\t\tdefer wg.Done()\n   114→\t\t\tfor item := range work {\n   115→\t\t\t\tentries, err := os.ReadDir(item.dir)\n   116→\t\t\t\tif err != nil {\n   117→\t\t\t\t\tcclog.Errorf(\"error reading %s/%s: %s\", item.cluster, item.host, err.Error())\n   118→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   119→\t\t\t\t\tcontinue\n   120→\t\t\t\t}\n   121→\n   122→\t\t\t\tfiles, err := findFiles(entries, from, false)\n   123→\t\t\t\tif err != nil {\n   124→\t\t\t\t\tcclog.Errorf(\"error finding files in %s/%s: %s\", item.cluster, item.host, err.Error())\n   125→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   126→\t\t\t\t\tcontinue\n   127→\t\t\t\t}\n   128→\n   129→\t\t\t\tfor _, checkpoint := range files {\n   130→\t\t\t\t\tif err := os.Remove(filepath.Join(item.dir, checkpoint)); err != nil {\n   131→\t\t\t\t\t\tcclog.Errorf(\"error deleting %s/%s/%s: %s\", item.cluster, item.host, checkpoint, err.Error())\n   132→\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   133→\t\t\t\t\t} else {\n   134→\t\t\t\t\t\tatomic.AddInt32(&n, 1)\n   135→\t\t\t\t\t}\n   136→\t\t\t\t}\n   137→\t\t\t}\n   138→\t\t}()\n   139→\t}\n   140→\n   141→\tfor _, de1 := range entries1 {\n   142→\t\tentries2, e := os.ReadDir(filepath.Join(checkpointsDir, de1.Name()))\n   143→\t\tif e != nil {\n   144→\t\t\terr = e\n   145→\t\t\tcontinue\n   146→\t\t}\n   147→\n   148→\t\tfor _, de2 := range entries2 {\n   149→\t\t\twork <- workItem{\n   150→\t\t\t\tdir:     filepath.Join(checkpointsDir, de1.Name(), de2.Name()),"}]},"uuid":"3afe89cf-60fc-471d-ae9b-6f193b18a7a9","timestamp":"2026-03-16T10:19:03.485Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"54d4faf4-bc11-4dac-b7f7-b8bdc182f051","timestamp":"2026-03-16T10:19:03.493Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"44c09212-687c-499b-ac29-9cc0e79d8189","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FeC9fr85spYr1P3VKWY5Lc","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package main provides the entry point for the ClusterCockpit backend server.\n     7→// It orchestrates initialization of all subsystems including configuration,\n     8→// database, authentication, and the HTTP server.\n     9→package main\n    10→\n    11→import (\n    12→\t\"context\"\n    13→\t\"encoding/json\"\n    14→\t\"fmt\"\n    15→\t\"os\"\n    16→\t\"os/signal\"\n    17→\t\"runtime/debug\"\n    18→\t\"strings\"\n    19→\t\"sync\"\n    20→\t\"syscall\"\n    21→\t\"time\"\n    22→\n    23→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    24→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n    25→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    26→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n    27→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    28→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    29→\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n    30→\t\"github.com/ClusterCockpit/cc-backend/internal/taskmanager\"\n    31→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    32→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n    33→\t\"github.com/ClusterCockpit/cc-backend/web\"\n    34→\tccconf \"github.com/ClusterCockpit/cc-lib/v2/ccConfig\"\n    35→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    36→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    37→\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n    38→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    39→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n    40→\t\"github.com/google/gops/agent\"\n    41→\t\"github.com/joho/godotenv\"\n    42→\n    43→\t_ \"github.com/mattn/go-sqlite3\"\n    44→)\n    45→\n    46→const logoString = `\n    47→ _____ _           _             ____           _          _ _\n    48→/  ___| |_   _ ___| |_ ___ _ __ / ___|___   ___| | ___ __ (_) |_\n    49→| |   | | | | / __| __/ _ \\ '__| |   / _ \\ / __| |/ / '_ \\| | __|\n    50→| |___| | |_| \\__ \\ ||  __/ |  | |__| (_) | (__|   <| |_) | | |_\n    51→\\_____|_|\\__,_|___/\\__\\___|_|   \\____\\___/ \\___|_|\\_\\ .__/|_|\\__|\n    52→                                                    |_|\n    53→`\n    54→\n    55→// Environment variable names\n    56→const (\n    57→\tenvGOGC = \"GOGC\"\n    58→)\n    59→\n    60→// Default configurations\n    61→const (\n    62→\tdefaultArchiveConfig = `{\"kind\":\"file\",\"path\":\"./var/job-archive\"}`\n    63→)\n    64→\n    65→var (\n    66→\tdate    string\n    67→\tcommit  string\n    68→\tversion string\n    69→)\n    70→\n    71→func printVersion() {\n    72→\tfmt.Print(logoString)\n    73→\tfmt.Printf(\"Version:\\t%s\\n\", version)\n    74→\tfmt.Printf(\"Git hash:\\t%s\\n\", commit)\n    75→\tfmt.Printf(\"Build time:\\t%s\\n\", date)\n    76→\tfmt.Printf(\"SQL db version:\\t%d\\n\", repository.Version)\n    77→\tfmt.Printf(\"Job archive version:\\t%d\\n\", archive.Version)\n    78→}\n    79→\n    80→func initGops() error {\n    81→\tif !flagGops {\n    82→\t\treturn nil\n    83→\t}\n    84→\n    85→\tif err := agent.Listen(agent.Options{}); err != nil {\n    86→\t\treturn fmt.Errorf(\"starting gops agent: %w\", err)\n    87→\t}\n    88→\treturn nil\n    89→}\n    90→\n    91→func loadEnvironment() error {\n    92→\tif err := godotenv.Load(); err != nil {\n    93→\t\treturn fmt.Errorf(\"loading .env file: %w\", err)\n    94→\t}\n    95→\treturn nil\n    96→}\n    97→\n    98→func initConfiguration() error {\n    99→\tccconf.Init(flagConfigFile)\n   100→\n   101→\tcfg := ccconf.GetPackageConfig(\"main\")\n   102→\tif cfg == nil {\n   103→\t\treturn fmt.Errorf(\"main configuration must be present\")\n   104→\t}\n   105→\n   106→\tconfig.Init(cfg)\n   107→\treturn nil\n   108→}\n   109→\n   110→func initDatabase() error {\n   111→\tif config.Keys.DbConfig != nil {\n   112→\t\tcfg := repository.DefaultConfig()\n   113→\t\tdc := config.Keys.DbConfig\n   114→\t\tif dc.CacheSizeMB > 0 {\n   115→\t\t\tcfg.DbCacheSizeMB = dc.CacheSizeMB\n   116→\t\t}\n   117→\t\tif dc.SoftHeapLimitMB > 0 {\n   118→\t\t\tcfg.DbSoftHeapLimitMB = dc.SoftHeapLimitMB\n   119→\t\t}\n   120→\t\tif dc.MaxOpenConnections > 0 {\n   121→\t\t\tcfg.MaxOpenConnections = dc.MaxOpenConnections\n   122→\t\t}\n   123→\t\tif dc.MaxIdleConnections > 0 {\n   124→\t\t\tcfg.MaxIdleConnections = dc.MaxIdleConnections\n   125→\t\t}\n   126→\t\tif dc.ConnectionMaxIdleTimeMins > 0 {\n   127→\t\t\tcfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute\n   128→\t\t}\n   129→\t\trepository.SetConfig(cfg)\n   130→\t}\n   131→\trepository.Connect(config.Keys.DB)\n   132→\treturn nil\n   133→}\n   134→\n   135→func handleDatabaseCommands() error {\n   136→\tif flagMigrateDB {\n   137→\t\terr := repository.MigrateDB(config.Keys.DB)\n   138→\t\tif err != nil {\n   139→\t\t\treturn fmt.Errorf(\"migrating database to version %d: %w\", repository.Version, err)\n   140→\t\t}\n   141→\t\tcclog.Exitf(\"MigrateDB Success: Migrated SQLite database at '%s' to version %d.\\n\",\n   142→\t\t\tconfig.Keys.DB, repository.Version)\n   143→\t}\n   144→\n   145→\tif flagRevertDB {\n   146→\t\terr := repository.RevertDB(config.Keys.DB)\n   147→\t\tif err != nil {\n   148→\t\t\treturn fmt.Errorf(\"reverting database to version %d: %w\", repository.Version-1, err)\n   149→\t\t}\n   150→\t\tcclog.Exitf(\"RevertDB Success: Reverted SQLite database at '%s' to version %d.\\n\","}]},"uuid":"50c72db8-1193-4668-a5ab-a831c0b28297","timestamp":"2026-03-16T10:19:05.300Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"d30ca725-65e2-48c0-aa57-0340539f91b0","timestamp":"2026-03-16T10:19:05.581Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d30ca725-65e2-48c0-aa57-0340539f91b0","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:05.964Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01LJ3XxW1v5AFPnJvbZpSdmT","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UYjt9gRJmVFdedUZ3p6yHJ","name":"Grep","input":{"pattern":"taskmanager\\.Start|archiver\\.Start|metricstore\\.Init|Shutdown","type":"go","path":"/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend","output_mode":"content"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":4160,"cache_read_input_tokens":51519,"cache_creation":{"ephemeral_5m_input_tokens":4160,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7vJwiwLWsiVxoestV","uuid":"bffd57cc-e1a9-43a7-88e6-9209b4e7ffe3"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"c34bac75-fe5d-4d7a-9b2c-eac17e5107ab","timestamp":"2026-03-16T10:19:05.965Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"c34bac75-fe5d-4d7a-9b2c-eac17e5107ab","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UYjt9gRJmVFdedUZ3p6yHJ","type":"tool_result","content":"cmd/cc-backend/main.go:343:\t\tmetricstore.Init(mscfg, metrics, &wg)\ncmd/cc-backend/main.go:373:\tarchiver.Start(repository.GetJobRepository(), ctx)\ncmd/cc-backend/main.go:374:\ttaskmanager.Start(ccconf.GetPackageConfig(\"cron\"), ccconf.GetPackageConfig(\"archive\"))\ncmd/cc-backend/main.go:406:\t\t\tcclog.Info(\"Shutdown signal received\")\ncmd/cc-backend/main.go:411:\t\tsrv.Shutdown(ctx)\ncmd/cc-backend/main.go:412:\t\tutil.FsWatcherShutdown()\ncmd/cc-backend/main.go:413:\t\ttaskmanager.Shutdown()\ncmd/cc-backend/server.go:407:\t\tif err := s.server.Shutdown(shutdownCtx); err != nil {\ncmd/cc-backend/server.go:418:func (s *Server) Shutdown(ctx context.Context) {\ncmd/cc-backend/server.go:429:\tif err := s.server.Shutdown(shutdownCtx); err != nil {\ncmd/cc-backend/server.go:437:\t\tmetricstore.Shutdown()\ncmd/cc-backend/server.go:440:\t// Shutdown archiver with 10 second timeout for fast shutdown\ncmd/cc-backend/server.go:441:\tif err := archiver.Shutdown(10 * time.Second); err != nil {"}]},"uuid":"73ab8bde-0953-4ec8-9bd7-3f54d658a02e","timestamp":"2026-03-16T10:19:05.985Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"b3aad3d9-92aa-4500-bffb-d390c8a27614","timestamp":"2026-03-16T10:19:05.986Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"e7152bfa-6d65-4375-9200-50ded51bd86b","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ST4386xqZyT4q6mcKciHXA","type":"tool_result","content":"   200→\n   201→\t\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n   202→\t\tif err != nil {\n   203→\t\t\thandleError(err, http.StatusInternalServerError, rw)\n   204→\t\t\treturn\n   205→\t\t}\n   206→\n   207→\t\tif job.MonitoringStatus == schema.MonitoringStatusArchivingSuccessful {\n   208→\t\t\tjob.Statistics, err = archive.GetStatistics(job)\n   209→\t\t\tif err != nil {\n   210→\t\t\t\thandleError(err, http.StatusInternalServerError, rw)\n   211→\t\t\t\treturn\n   212→\t\t\t}\n   213→\t\t}\n   214→\n   215→\t\tresults = append(results, job)\n   216→\t}\n   217→\n   218→\tcclog.Debugf(\"/api/jobs: %d jobs returned\", len(results))\n   219→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   220→\tbw := bufio.NewWriter(rw)\n   221→\tdefer bw.Flush()\n   222→\n   223→\tpayload := GetJobsAPIResponse{\n   224→\t\tJobs:  results,\n   225→\t\tItems: page.ItemsPerPage,\n   226→\t\tPage:  page.Page,\n   227→\t}\n   228→\n   229→\tif err := json.NewEncoder(bw).Encode(payload); err != nil {\n   230→\t\thandleError(err, http.StatusInternalServerError, rw)\n   231→\t\treturn\n   232→\t}\n   233→}\n   234→\n   235→// getCompleteJobByID godoc\n   236→// @summary   Get job meta and optional all metric data\n   237→// @tags Job query\n   238→// @description Job to get is specified by database ID\n   239→// @description Returns full job resource information according to 'Job' scheme and all metrics according to 'JobData'.\n   240→// @produce     json\n   241→// @param       id          path     int                  true \"Database ID of Job\"\n   242→// @param       all-metrics query    bool                 false \"Include all available metrics\"\n   243→// @success     200     {object} api.GetJobAPIResponse      \"Job resource\"\n   244→// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n   245→// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n   246→// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n   247→// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n   248→// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n   249→// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n   250→// @security    ApiKeyAuth\n   251→// @router      /api/jobs/{id} [get]\n   252→func (api *RestAPI) getCompleteJobByID(rw http.ResponseWriter, r *http.Request) {\n   253→\t// Fetch job from db\n   254→\tid := chi.URLParam(r, \"id\")\n   255→\tvar job *schema.Job\n   256→\tvar err error\n   257→\tif id != \"\" {\n   258→\t\tid, e := strconv.ParseInt(id, 10, 64)\n   259→\t\tif e != nil {\n   260→\t\t\thandleError(fmt.Errorf(\"integer expected in path for id: %w\", e), http.StatusBadRequest, rw)\n   261→\t\t\treturn\n   262→\t\t}\n   263→\n   264→\t\tjob, err = api.JobRepository.FindByID(r.Context(), id) // Get Job from Repo by ID\n   265→\t} else {\n   266→\t\thandleError(fmt.Errorf(\"the parameter 'id' is required\"), http.StatusBadRequest, rw)\n   267→\t\treturn\n   268→\t}\n   269→\tif err != nil {\n   270→\t\thandleError(fmt.Errorf(\"finding job with db id %s failed: %w\", id, err), http.StatusUnprocessableEntity, rw)\n   271→\t\treturn\n   272→\t}\n   273→\n   274→\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n   275→\tif err != nil {\n   276→\t\thandleError(err, http.StatusInternalServerError, rw)\n   277→\t\treturn\n   278→\n   279→\t}\n   280→\tif _, err = api.JobRepository.FetchMetadata(job); err != nil {\n   281→\n   282→\t\thandleError(err, http.StatusInternalServerError, rw)\n   283→\t\treturn\n   284→\t}\n   285→\n   286→\tvar scopes []schema.MetricScope\n   287→\n   288→\tif job.NumNodes == 1 {\n   289→\t\tscopes = []schema.MetricScope{\"core\"}\n   290→\t} else {\n   291→\t\tscopes = []schema.MetricScope{\"node\"}\n   292→\t}\n   293→\n   294→\tvar data schema.JobData\n   295→\n   296→\tmetricConfigs := archive.GetCluster(job.Cluster).MetricConfig\n   297→\tresolution := 0\n   298→\n   299→\tfor _, mc := range metricConfigs {\n   300→\t\tresolution = max(resolution, mc.Timestep)\n   301→\t}\n   302→\n   303→\tif r.URL.Query().Get(\"all-metrics\") == \"true\" {\n   304→\t\tdata, err = metricdispatch.LoadData(job, nil, scopes, r.Context(), resolution)\n   305→\t\tif err != nil {\n   306→\t\t\tcclog.Warnf(\"REST: error while loading all-metrics job data for JobID %d on %s\", job.JobID, job.Cluster)\n   307→\t\t\treturn\n   308→\t\t}\n   309→\t}\n   310→\n   311→\tcclog.Debugf(\"/api/job/%s: get job %d\", id, job.JobID)\n   312→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   313→\tbw := bufio.NewWriter(rw)\n   314→\tdefer bw.Flush()\n   315→\n   316→\tpayload := GetCompleteJobAPIResponse{\n   317→\t\tMeta: job,\n   318→\t\tData: data,\n   319→\t}\n   320→\n   321→\tif err := json.NewEncoder(bw).Encode(payload); err != nil {\n   322→\t\thandleError(err, http.StatusInternalServerError, rw)\n   323→\t\treturn\n   324→\t}\n   325→}\n   326→\n   327→// getJobByID godoc\n   328→// @summary   Get job meta and configurable metric data\n   329→// @tags Job query\n   330→// @description Job to get is specified by database ID\n   331→// @description Returns full job resource information according to 'Job' scheme and all metrics according to 'JobData'.\n   332→// @accept      json\n   333→// @produce     json\n   334→// @param       id          path     int                  true \"Database ID of Job\"\n   335→// @param       request     body     api.GetJobAPIRequest true  \"Array of metric names\"\n   336→// @success     200     {object} api.GetJobAPIResponse      \"Job resource\"\n   337→// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n   338→// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n   339→// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n   340→// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n   341→// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n   342→// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n   343→// @security    ApiKeyAuth\n   344→// @router      /api/jobs/{id} [post]\n   345→func (api *RestAPI) getJobByID(rw http.ResponseWriter, r *http.Request) {\n   346→\t// Fetch job from db\n   347→\tid := chi.URLParam(r, \"id\")\n   348→\tvar job *schema.Job\n   349→\tvar err error\n   350→\tif id != \"\" {\n   351→\t\tid, e := strconv.ParseInt(id, 10, 64)\n   352→\t\tif e != nil {\n   353→\t\t\thandleError(fmt.Errorf(\"integer expected in path for id: %w\", e), http.StatusBadRequest, rw)\n   354→\t\t\treturn\n   355→\t\t}\n   356→\n   357→\t\tjob, err = api.JobRepository.FindByID(r.Context(), id)\n   358→\t} else {\n   359→\t\thandleError(errors.New(\"the parameter 'id' is required\"), http.StatusBadRequest, rw)\n   360→\t\treturn\n   361→\t}\n   362→\tif err != nil {\n   363→\t\thandleError(fmt.Errorf(\"finding job with db id %s failed: %w\", id, err), http.StatusUnprocessableEntity, rw)\n   364→\t\treturn\n   365→\t}\n   366→\n   367→\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n   368→\tif err != nil {\n   369→\t\thandleError(err, http.StatusInternalServerError, rw)\n   370→\t\treturn\n   371→\n   372→\t}\n   373→\tif _, err = api.JobRepository.FetchMetadata(job); err != nil {\n   374→\n   375→\t\thandleError(err, http.StatusInternalServerError, rw)\n   376→\t\treturn\n   377→\t}\n   378→\n   379→\tvar metrics GetJobAPIRequest\n   380→\tif err = decode(r.Body, &metrics); err != nil {\n   381→\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n   382→\t\treturn\n   383→\t}\n   384→\n   385→\tvar scopes []schema.MetricScope\n   386→\n   387→\tif job.NumNodes == 1 {\n   388→\t\tscopes = []schema.MetricScope{\"core\"}\n   389→\t} else {\n   390→\t\tscopes = []schema.MetricScope{\"node\"}\n   391→\t}\n   392→\n   393→\tmetricConfigs := archive.GetCluster(job.Cluster).MetricConfig\n   394→\tresolution := 0\n   395→\n   396→\tfor _, mc := range metricConfigs {\n   397→\t\tresolution = max(resolution, mc.Timestep)\n   398→\t}\n   399→\n   400→\tdata, err := metricdispatch.LoadData(job, metrics, scopes, r.Context(), resolution)\n   401→\tif err != nil {\n   402→\t\tcclog.Warnf(\"REST: error while loading job data for JobID %d on %s\", job.JobID, job.Cluster)\n   403→\t\treturn\n   404→\t}\n   405→\n   406→\tres := []*JobMetricWithName{}\n   407→\tfor name, md := range data {\n   408→\t\tfor scope, metric := range md {\n   409→\t\t\tres = append(res, &JobMetricWithName{\n   410→\t\t\t\tName:   name,\n   411→\t\t\t\tScope:  scope,\n   412→\t\t\t\tMetric: metric,\n   413→\t\t\t})\n   414→\t\t}\n   415→\t}\n   416→\n   417→\tcclog.Debugf(\"/api/job/%s: get job %d\", id, job.JobID)\n   418→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   419→\tbw := bufio.NewWriter(rw)\n   420→\tdefer bw.Flush()\n   421→\n   422→\tpayload := GetJobAPIResponse{\n   423→\t\tMeta: job,\n   424→\t\tData: res,\n   425→\t}\n   426→\n   427→\tif err := json.NewEncoder(bw).Encode(payload); err != nil {\n   428→\t\thandleError(err, http.StatusInternalServerError, rw)\n   429→\t\treturn\n   430→\t}\n   431→}\n   432→\n   433→// editMeta godoc\n   434→// @summary    Edit meta-data json of job identified by database id\n   435→// @tags Job add and modify\n   436→// @description Edit key value pairs in job metadata json of job specified by database id\n   437→// @description If a key already exists its content will be overwritten\n   438→// @accept      json\n   439→// @produce     json\n   440→// @param       id      path     int                  true \"Job Database ID\"\n   441→// @param       request body     api.EditMetaRequest  true \"Metadata Key value pair to add or update\"\n   442→// @success     200     {object} schema.Job                \"Updated job resource\"\n   443→// @failure     400     {object} api.ErrorResponse         \"Bad Request\"\n   444→// @failure     401     {object} api.ErrorResponse         \"Unauthorized\"\n   445→// @failure     404     {object} api.ErrorResponse         \"Job does not exist\"\n   446→// @failure     500     {object} api.ErrorResponse         \"Internal Server Error\"\n   447→// @security    ApiKeyAuth\n   448→// @router      /api/jobs/edit_meta/{id} [patch]\n   449→func (api *RestAPI) editMeta(rw http.ResponseWriter, r *http.Request) {\n   450→\tid, err := strconv.ParseInt(chi.URLParam(r, \"id\"), 10, 64)\n   451→\tif err != nil {\n   452→\t\thandleError(fmt.Errorf(\"parsing job ID failed: %w\", err), http.StatusBadRequest, rw)\n   453→\t\treturn\n   454→\t}\n   455→\n   456→\tjob, err := api.JobRepository.FindByID(r.Context(), id)\n   457→\tif err != nil {\n   458→\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n   459→\t\treturn\n   460→\t}\n   461→\n   462→\tvar req EditMetaRequest\n   463→\tif err := decode(r.Body, &req); err != nil {\n   464→\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n   465→\t\treturn\n   466→\t}\n   467→\n   468→\tif err := api.JobRepository.UpdateMetadata(job, req.Key, req.Value); err != nil {\n   469→\t\thandleError(fmt.Errorf(\"updating metadata failed: %w\", err), http.StatusInternalServerError, rw)\n   470→\t\treturn\n   471→\t}\n   472→\n   473→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   474→\trw.WriteHeader(http.StatusOK)\n   475→\tif err := json.NewEncoder(rw).Encode(job); err != nil {\n   476→\t\tcclog.Errorf(\"Failed to encode job response: %v\", err)\n   477→\t}\n   478→}\n   479→\n   480→// editMetaByRequest godoc\n   481→// @summary    Edit meta-data json of job identified by request\n   482→// @tags Job add and modify\n   483→// @description Edit key value pairs in metadata json of job specified by jobID, StartTime and Cluster\n   484→// @description If a key already exists its content will be overwritten\n   485→// @accept      json\n   486→// @produce     json\n   487→// @param       request body     api.JobMetaRequest   true \"Specifies job and payload to add or update\"\n   488→// @success     200     {object} schema.Job                \"Updated job resource\"\n   489→// @failure     400     {object} api.ErrorResponse         \"Bad Request\"\n   490→// @failure     401     {object} api.ErrorResponse         \"Unauthorized\"\n   491→// @failure     404     {object} api.ErrorResponse         \"Job does not exist\"\n   492→// @failure     500     {object} api.ErrorResponse         \"Internal Server Error\"\n   493→// @security    ApiKeyAuth\n   494→// @router      /api/jobs/edit_meta/ [patch]\n   495→func (api *RestAPI) editMetaByRequest(rw http.ResponseWriter, r *http.Request) {\n   496→\t// Parse request body\n   497→\treq := JobMetaRequest{}\n   498→\tif err := decode(r.Body, &req); err != nil {\n   499→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)"}]},"uuid":"3aca981d-fe49-453f-82cf-6319171ebbf9","timestamp":"2026-03-16T10:19:06.006Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"edce2b88-2759-4c51-b31d-29c1b6aeb546","timestamp":"2026-03-16T10:19:06.020Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"edce2b88-2759-4c51-b31d-29c1b6aeb546","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:06.431Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01DxpC6YbHcoNjtiTW1NMxbh","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MiiSRGfwasnG3PuKjzkPC8","name":"Grep","input":{"pattern":"UpdateMonitoringStatus|UpdateFootprint|Flush|Exec|NamedExec","type":"go","path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository","output_mode":"content","context":3},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":6439,"cache_read_input_tokens":95757,"cache_creation":{"ephemeral_5m_input_tokens":6439,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7t5WKiozU5nptw7kh","uuid":"4943f452-5595-4151-a6ba-7f1011d0f644"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"3fd6f3e6-3127-4a03-abcc-ae1bfc60d1d7","timestamp":"2026-03-16T10:19:06.432Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"3fd6f3e6-3127-4a03-abcc-ae1bfc60d1d7","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MiiSRGfwasnG3PuKjzkPC8","type":"tool_result","content":"<persisted-output>\nOutput too large (59.9KB). Full output saved to: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/3a41c7a4-abf8-484b-96ae-ee5618eea5ba/tool-results/REDACTED.txt\n\nPreview (first 2KB):\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-182-func (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-183-\tvar err error\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-184-\ninternal/repository/node.go:185:\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-186-\tif err != nil {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-187-\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-188-\t\treturn 0, err\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-235-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-236-\tnodeState.NodeID = id\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-237-\ninternal/repository/node.go:238:\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-239-\tif err != nil {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-240-\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-241-\t\treturn err\n--\ninternal/repository/node.go-291-\t\t\t\tnode := schema.NodeDB{\ninternal/repository/node.go-292-\t\t\t\t\tHostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-293-\t\t\t\t}\ninternal/repository/node.go:294:\t\t\t\tres, insertErr := stmtInsertNode.Exec(&node)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-295-\t\t\t\tif insertErr != nil {\ninternal/repository/node.go-296-\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)\n...\n</persisted-output>"}]},"uuid":"d30021bc-4ee6-4b6e-b76e-08c23a46fd13","timestamp":"2026-03-16T10:19:06.464Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"53842970-bfd8-45d9-9db5-c4fd5644003e","timestamp":"2026-03-16T10:19:06.465Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"53842970-bfd8-45d9-9db5-c4fd5644003e","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:06.863Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01RfkJoCKpmSkkNoRyqKbSR9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LYGKz8XvJ4VHn5vxmxi8mt","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go","offset":545,"limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":551,"cache_read_input_tokens":45041,"cache_creation":{"ephemeral_5m_input_tokens":551,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b84sPbjgj2H6Ltr78S","uuid":"311dd5b9-e19e-4a97-aef9-c30a408d6c44"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"2b5f3bf9-c722-4635-be91-2c9a22ddb906","timestamp":"2026-03-16T10:19:06.864Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"2b5f3bf9-c722-4635-be91-2c9a22ddb906","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LYGKz8XvJ4VHn5vxmxi8mt","type":"tool_result","content":"   545→func (api *RestAPI) tagJob(rw http.ResponseWriter, r *http.Request) {\n   546→\tid, err := strconv.ParseInt(chi.URLParam(r, \"id\"), 10, 64)\n   547→\tif err != nil {\n   548→\t\thandleError(fmt.Errorf(\"parsing job ID failed: %w\", err), http.StatusBadRequest, rw)\n   549→\t\treturn\n   550→\t}\n   551→\n   552→\tjob, err := api.JobRepository.FindByID(r.Context(), id)\n   553→\tif err != nil {\n   554→\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n   555→\t\treturn\n   556→\t}\n   557→\n   558→\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n   559→\tif err != nil {\n   560→\t\thandleError(fmt.Errorf(\"getting tags failed: %w\", err), http.StatusInternalServerError, rw)\n   561→\t\treturn\n   562→\t}\n   563→\n   564→\tvar req TagJobAPIRequest\n   565→\tif err := decode(r.Body, &req); err != nil {\n   566→\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n   567→\t\treturn\n   568→\t}\n   569→\n   570→\tfor _, tag := range req {\n   571→\t\ttagID, err := api.JobRepository.AddTagOrCreate(repository.GetUserFromContext(r.Context()), *job.ID, tag.Type, tag.Name, tag.Scope)\n   572→\t\tif err != nil {\n   573→\t\t\thandleError(fmt.Errorf(\"adding tag failed: %w\", err), http.StatusInternalServerError, rw)\n   574→\t\t\treturn\n   575→\t\t}\n   576→\n   577→\t\tjob.Tags = append(job.Tags, &schema.Tag{\n   578→\t\t\tID:    tagID,\n   579→\t\t\tType:  tag.Type,\n   580→\t\t\tName:  tag.Name,\n   581→\t\t\tScope: tag.Scope,\n   582→\t\t})\n   583→\t}\n   584→\n   585→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   586→\trw.WriteHeader(http.StatusOK)\n   587→\tif err := json.NewEncoder(rw).Encode(job); err != nil {\n   588→\t\tcclog.Errorf(\"Failed to encode job response: %v\", err)\n   589→\t}\n   590→}\n   591→\n   592→// removeTagJob godoc\n   593→// @summary     Removes one or more tags from a job\n   594→// @tags Job add and modify\n   595→// @description Removes tag(s) from a job specified by DB ID. Name and Type of Tag(s) must match.\n   596→// @description Tag Scope is required for matching, options: \"global\", \"admin\". Private tags can not be deleted via API.\n   597→// @description If tagged job is already finished: Tag will be removed from respective archive files.\n   598→// @accept      json\n   599→// @produce     json\n   600→// @param       id      path     int                  true \"Job Database ID\"\n   601→// @param       request body     api.TagJobAPIRequest true \"Array of tag-objects to remove\"\n   602→// @success     200     {object} schema.Job                \"Updated job resource\"\n   603→// @failure     400     {object} api.ErrorResponse         \"Bad Request\"\n   604→// @failure     401     {object} api.ErrorResponse         \"Unauthorized\"\n   605→// @failure     404     {object} api.ErrorResponse         \"Job or tag does not exist\"\n   606→// @failure     500     {object} api.ErrorResponse         \"Internal Server Error\"\n   607→// @security    ApiKeyAuth\n   608→// @router      /jobs/tag_job/{id} [delete]\n   609→func (api *RestAPI) removeTagJob(rw http.ResponseWriter, r *http.Request) {\n   610→\tid, err := strconv.ParseInt(chi.URLParam(r, \"id\"), 10, 64)\n   611→\tif err != nil {\n   612→\t\thandleError(fmt.Errorf(\"parsing job ID failed: %w\", err), http.StatusBadRequest, rw)\n   613→\t\treturn\n   614→\t}\n   615→\n   616→\tjob, err := api.JobRepository.FindByID(r.Context(), id)\n   617→\tif err != nil {\n   618→\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n   619→\t\treturn\n   620→\t}\n   621→\n   622→\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n   623→\tif err != nil {\n   624→\t\thandleError(fmt.Errorf(\"getting tags failed: %w\", err), http.StatusInternalServerError, rw)\n   625→\t\treturn\n   626→\t}\n   627→\n   628→\tvar req TagJobAPIRequest\n   629→\tif err := decode(r.Body, &req); err != nil {\n   630→\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n   631→\t\treturn\n   632→\t}\n   633→\n   634→\tfor _, rtag := range req {\n   635→\t\t// Only Global and Admin Tags\n   636→\t\tif rtag.Scope != \"global\" && rtag.Scope != \"admin\" {\n   637→\t\t\tcclog.Warnf(\"Cannot delete private tag for job %d: Skip\", job.JobID)\n   638→\t\t\tcontinue\n   639→\t\t}\n   640→\n   641→\t\tremainingTags, err := api.JobRepository.RemoveJobTagByRequest(repository.GetUserFromContext(r.Context()), *job.ID, rtag.Type, rtag.Name, rtag.Scope)\n   642→\t\tif err != nil {\n   643→\t\t\thandleError(fmt.Errorf(\"removing tag failed: %w\", err), http.StatusInternalServerError, rw)\n   644→\t\t\treturn\n   645→\t\t}\n   646→\n   647→\t\tjob.Tags = remainingTags\n   648→\t}\n   649→\n   650→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   651→\trw.WriteHeader(http.StatusOK)\n   652→\tif err := json.NewEncoder(rw).Encode(job); err != nil {\n   653→\t\tcclog.Errorf(\"Failed to encode job response: %v\", err)\n   654→\t}\n   655→}\n   656→\n   657→// removeTags godoc\n   658→// @summary     Removes all tags and job-relations for type:name tuple\n   659→// @tags Tag remove\n   660→// @description Removes tags by type and name. Name and Type of Tag(s) must match.\n   661→// @description Tag Scope is required for matching, options: \"global\", \"admin\". Private tags can not be deleted via API.\n   662→// @description Tag wills be removed from respective archive files.\n   663→// @accept      json\n   664→// @produce     plain\n   665→// @param       request body     api.TagJobAPIRequest true \"Array of tag-objects to remove\"\n   666→// @success     200     {string} string                    \"Success Response\"\n   667→// @failure     400     {object} api.ErrorResponse         \"Bad Request\"\n   668→// @failure     401     {object} api.ErrorResponse         \"Unauthorized\"\n   669→// @failure     404     {object} api.ErrorResponse         \"Job or tag does not exist\"\n   670→// @failure     500     {object} api.ErrorResponse         \"Internal Server Error\"\n   671→// @security    ApiKeyAuth\n   672→// @router      /tags/ [delete]\n   673→func (api *RestAPI) removeTags(rw http.ResponseWriter, r *http.Request) {\n   674→\tvar req TagJobAPIRequest\n   675→\tif err := decode(r.Body, &req); err != nil {\n   676→\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n   677→\t\treturn\n   678→\t}\n   679→\n   680→\ttargetCount := len(req)\n   681→\tcurrentCount := 0\n   682→\tfor _, rtag := range req {\n   683→\t\t// Only Global and Admin Tags\n   684→\t\tif rtag.Scope != \"global\" && rtag.Scope != \"admin\" {\n   685→\t\t\tcclog.Warn(\"Cannot delete private tag: Skip\")\n   686→\t\t\tcontinue\n   687→\t\t}\n   688→\n   689→\t\terr := api.JobRepository.RemoveTagByRequest(rtag.Type, rtag.Name, rtag.Scope)\n   690→\t\tif err != nil {\n   691→\t\t\thandleError(fmt.Errorf(\"removing tag failed: %w\", err), http.StatusInternalServerError, rw)\n   692→\t\t\treturn\n   693→\t\t}\n   694→\t\tcurrentCount++"}]},"uuid":"4640341b-02e3-4fc7-9da4-4b8ac5b807c2","timestamp":"2026-03-16T10:19:06.875Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"304b8a57-a0f3-449b-af1f-efae4b9ee82b","timestamp":"2026-03-16T10:19:07.092Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"304b8a57-a0f3-449b-af1f-efae4b9ee82b","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:07.284Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01RfkJoCKpmSkkNoRyqKbSR9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GYNNrKhPhhwkDPePmbnzqP","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go","offset":717,"limit":100},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":551,"cache_read_input_tokens":45041,"cache_creation":{"ephemeral_5m_input_tokens":551,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b84sPbjgj2H6Ltr78S","uuid":"0e2319e1-a334-406c-b861-a62b8cc4a2d1"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"e9d92599-e7a0-4dfd-9cdd-d2f2df72175f","timestamp":"2026-03-16T10:19:07.284Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"e9d92599-e7a0-4dfd-9cdd-d2f2df72175f","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GYNNrKhPhhwkDPePmbnzqP","type":"tool_result","content":"   717→func (api *RestAPI) startJob(rw http.ResponseWriter, r *http.Request) {\n   718→\treq := schema.Job{\n   719→\t\tShared:           \"none\",\n   720→\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n   721→\t}\n   722→\tif err := decode(r.Body, &req); err != nil {\n   723→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n   724→\t\treturn\n   725→\t}\n   726→\n   727→\tcclog.Debugf(\"REST: %s\", req.GoString())\n   728→\treq.State = schema.JobStateRunning\n   729→\n   730→\tif err := importer.SanityChecks(&req); err != nil {\n   731→\t\thandleError(err, http.StatusBadRequest, rw)\n   732→\t\treturn\n   733→\t}\n   734→\n   735→\t// aquire lock to avoid race condition between API calls\n   736→\tvar unlockOnce sync.Once\n   737→\tapi.RepositoryMutex.Lock()\n   738→\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n   739→\n   740→\t// Check if combination of (job_id, cluster_id, start_time) already exists:\n   741→\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n   742→\tif err != nil && err != sql.ErrNoRows {\n   743→\t\thandleError(fmt.Errorf(\"checking for duplicate failed: %w\", err), http.StatusInternalServerError, rw)\n   744→\t\treturn\n   745→\t}\n   746→\tif err == nil {\n   747→\t\tfor _, job := range jobs {\n   748→\t\t\t// Check if jobs are within the same day (prevent duplicates)\n   749→\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n   750→\t\t\t\thandleError(fmt.Errorf(\"a job with that jobId, cluster and startTime already exists: dbid: %d, jobid: %d\", *job.ID, job.JobID), http.StatusUnprocessableEntity, rw)\n   751→\t\t\t\treturn\n   752→\t\t\t}\n   753→\t\t}\n   754→\t}\n   755→\n   756→\t// When tags are present, insert directly into the job table so that the\n   757→\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n   758→\t// Jobs without tags use the cache path as before.\n   759→\tvar id int64\n   760→\tif len(req.Tags) > 0 {\n   761→\t\tid, err = api.JobRepository.StartDirect(&req)\n   762→\t} else {\n   763→\t\tid, err = api.JobRepository.Start(&req)\n   764→\t}\n   765→\tif err != nil {\n   766→\t\thandleError(fmt.Errorf(\"insert into database failed: %w\", err), http.StatusInternalServerError, rw)\n   767→\t\treturn\n   768→\t}\n   769→\t// unlock here, adding Tags can be async\n   770→\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n   771→\n   772→\tfor _, tag := range req.Tags {\n   773→\t\tif _, err := api.JobRepository.AddTagOrCreate(repository.GetUserFromContext(r.Context()), id, tag.Type, tag.Name, tag.Scope); err != nil {\n   774→\t\t\thandleError(fmt.Errorf(\"adding tag to new job %d failed: %w\", id, err), http.StatusInternalServerError, rw)\n   775→\t\t\treturn\n   776→\t\t}\n   777→\t}\n   778→\n   779→\tcclog.Infof(\"new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\", id, req.Cluster, req.JobID, req.User, req.StartTime)\n   780→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   781→\trw.WriteHeader(http.StatusCreated)\n   782→\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{\n   783→\t\tMessage: \"success\",\n   784→\t}); err != nil {\n   785→\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n   786→\t}\n   787→}\n   788→\n   789→// stopJobByRequest godoc\n   790→// @summary     Marks job as completed and triggers archiving\n   791→// @tags Job add and modify\n   792→// @description Job to stop is specified by request body. All fields are required in this case.\n   793→// @description Returns full job resource information according to 'Job' scheme.\n   794→// @produce     json\n   795→// @param       request body     api.StopJobAPIRequest true \"All fields required\"\n   796→// @success     200     {object} schema.Job                 \"Success message\"\n   797→// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n   798→// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n   799→// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n   800→// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n   801→// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: job has already been stopped\"\n   802→// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n   803→// @security    ApiKeyAuth\n   804→// @router      /api/jobs/stop_job/ [post]\n   805→func (api *RestAPI) stopJobByRequest(rw http.ResponseWriter, r *http.Request) {\n   806→\t// Parse request body\n   807→\treq := StopJobAPIRequest{}\n   808→\tif err := decode(r.Body, &req); err != nil {\n   809→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n   810→\t\treturn\n   811→\t}\n   812→\n   813→\t// Fetch job (that will be stopped) from db\n   814→\tvar job *schema.Job\n   815→\tvar err error\n   816→\tif req.JobID == nil {"}]},"uuid":"d7765e85-64ef-4bf3-b716-26095eaada66","timestamp":"2026-03-16T10:19:07.295Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"0eee65f7-a69b-4e94-a68a-ac89d15acfd0","timestamp":"2026-03-16T10:19:07.296Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"0eee65f7-a69b-4e94-a68a-ac89d15acfd0","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:07.443Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01RfkJoCKpmSkkNoRyqKbSR9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ExpCisrNRq5BUKnBPYePbU","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go","offset":805,"limit":100},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":551,"cache_read_input_tokens":45041,"cache_creation":{"ephemeral_5m_input_tokens":551,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b84sPbjgj2H6Ltr78S","uuid":"b66e4a22-d59c-4183-b793-e7dc34d3321f"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"fa2f6f68-d860-4d91-9f2a-6ba0f5ad4477","timestamp":"2026-03-16T10:19:07.444Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"fa2f6f68-d860-4d91-9f2a-6ba0f5ad4477","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ExpCisrNRq5BUKnBPYePbU","type":"tool_result","content":"   805→func (api *RestAPI) stopJobByRequest(rw http.ResponseWriter, r *http.Request) {\n   806→\t// Parse request body\n   807→\treq := StopJobAPIRequest{}\n   808→\tif err := decode(r.Body, &req); err != nil {\n   809→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n   810→\t\treturn\n   811→\t}\n   812→\n   813→\t// Fetch job (that will be stopped) from db\n   814→\tvar job *schema.Job\n   815→\tvar err error\n   816→\tif req.JobID == nil {\n   817→\t\thandleError(errors.New(\"the field 'jobId' is required\"), http.StatusBadRequest, rw)\n   818→\t\treturn\n   819→\t}\n   820→\n   821→\tisCached := false\n   822→\tjob, err = api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n   823→\tif err != nil {\n   824→\t\t// Not in cache, try main job table\n   825→\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n   826→\t\tif err != nil {\n   827→\t\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n   828→\t\t\treturn\n   829→\t\t}\n   830→\t} else {\n   831→\t\tisCached = true\n   832→\t}\n   833→\n   834→\tapi.checkAndHandleStopJob(rw, job, req, isCached)\n   835→}\n   836→\n   837→// deleteJobByID godoc\n   838→// @summary     Remove a job from the sql database\n   839→// @tags Job remove\n   840→// @description Job to remove is specified by database ID. This will not remove the job from the job archive.\n   841→// @produce     json\n   842→// @param       id      path     int                   true \"Database ID of Job\"\n   843→// @success     200     {object} api.DefaultAPIResponse  \"Success message\"\n   844→// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n   845→// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n   846→// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n   847→// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n   848→// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n   849→// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n   850→// @security    ApiKeyAuth\n   851→// @router      /api/jobs/delete_job/{id} [delete]\n   852→func (api *RestAPI) deleteJobByID(rw http.ResponseWriter, r *http.Request) {\n   853→\t// Fetch job (that will be stopped) from db\n   854→\tid := chi.URLParam(r, \"id\")\n   855→\tvar err error\n   856→\tif id != \"\" {\n   857→\t\tid, e := strconv.ParseInt(id, 10, 64)\n   858→\t\tif e != nil {\n   859→\t\t\thandleError(fmt.Errorf(\"integer expected in path for id: %w\", e), http.StatusBadRequest, rw)\n   860→\t\t\treturn\n   861→\t\t}\n   862→\n   863→\t\terr = api.JobRepository.DeleteJobByID(id)\n   864→\t} else {\n   865→\t\thandleError(errors.New(\"the parameter 'id' is required\"), http.StatusBadRequest, rw)\n   866→\t\treturn\n   867→\t}\n   868→\tif err != nil {\n   869→\t\thandleError(fmt.Errorf(\"deleting job failed: %w\", err), http.StatusUnprocessableEntity, rw)\n   870→\t\treturn\n   871→\t}\n   872→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   873→\trw.WriteHeader(http.StatusOK)\n   874→\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{\n   875→\t\tMessage: fmt.Sprintf(\"Successfully deleted job %s\", id),\n   876→\t}); err != nil {\n   877→\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n   878→\t}\n   879→}\n   880→\n   881→// deleteJobByRequest godoc\n   882→// @summary     Remove a job from the sql database\n   883→// @tags Job remove\n   884→// @description Job to delete is specified by request body. All fields are required in this case.\n   885→// @accept      json\n   886→// @produce     json\n   887→// @param       request body     api.DeleteJobAPIRequest true \"All fields required\"\n   888→// @success     200     {object} api.DefaultAPIResponse  \"Success message\"\n   889→// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n   890→// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n   891→// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n   892→// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n   893→// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n   894→// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n   895→// @security    ApiKeyAuth\n   896→// @router      /api/jobs/delete_job/ [delete]\n   897→func (api *RestAPI) deleteJobByRequest(rw http.ResponseWriter, r *http.Request) {\n   898→\t// Parse request body\n   899→\treq := DeleteJobAPIRequest{}\n   900→\tif err := decode(r.Body, &req); err != nil {\n   901→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n   902→\t\treturn\n   903→\t}\n   904→"}]},"uuid":"e00c7de5-7f86-4b5f-8f7f-cddb9406d9d7","timestamp":"2026-03-16T10:19:07.464Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"63ba61f9-1114-4898-baad-474edfedd759","timestamp":"2026-03-16T10:19:07.466Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"8906c93f-4756-4ed1-9db1-3a07f271140c","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015Qpf28zLY44uQaMyphVp5G","type":"tool_result","content":"internal/repository/job.go-192-\t\treturn fmt.Errorf(\"failed to optimize database: %w\", err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-193-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-194-\treturn nil\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-195-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-196-\ninternal/repository/job.go:197:// Flush removes all data from job-related tables (jobtag, tag, job).\ninternal/repository/job.go-198-/ WARNING: This is a destructive operation that deletes all job data.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-199-// Use with extreme caution, typically only for testing or complete resets.\ninternal/repository/job.go:200:func (r *JobRepository) Flush() error {\ninternal/repository/job.go-201-\tif _, err := r.DB.Exec(`DELETE FROM jobtag`); err != nil {\ninternal/repository/job.go-202-\t\tcclog.Errorf(\"Error while deleting from jobtag table: %v\", err)\ninternal/repository/job.go-203-\t\treturn fmt.Errorf(\"failed to flush jobtag table: %w\", err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-204-\t}\ninternal/repository/job.go-205-\tif _, err := r.DB.Exec(`DELETE FROM tag`); err != nil {\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-253-\tr.cache.Put(cachekey, job.MetaData, len(job.RawMetaData), 24*time.Hour)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-254-\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-255-\treturn job.MetaData, nil\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-256-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-257-\ninternal/repository/job.go:258:// UpdateMetadata adds or updates a single metadata key-value pair for a job.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-259-// The entire metadata map is re-marshaled and stored, and the cache is invalidated.\ninternal/repository/job.go:260:// Also triggers archive metadata update via archive.UpdateMetadata.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-261-//\ninternal/repository/job.go-262-/ Parameters:\ninternal/repository/job.go-263-/   - job: Job struct with valid ID, existing metadata will be fetched if not present\ninternal/repository/job.go-264-/   - key: Metadata key to set\ninternal/repository/job.go-265-/   - val: Metadata value to set\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-266-//\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-267-// Returns an error if the job is nil, metadata fetch fails, or database update fails.\ninternal/repository/job.go:268:func (r *JobRepository) UpdateMetadata(job *schema.Job, key, val string) (err error) {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-269-\tif job == nil {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-270-\t\treturn fmt.Errorf(\"job cannot be nil\")\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-271-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-272-\ninternal/repository/job.go-273-\tcachekey := fmt.Sprintf(\"metadata:%d\", *job.ID)\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-300-\t\tcclog.Warnf(\"Error while updating metadata for job, DB ID '%v'\", *job.ID)\ninternal/repository/job.go-301-\t\treturn fmt.Errorf(\"failed to update metadata in database for job %d: %w\", *job.ID, err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-302-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-303-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-304-\tr.cache.Put(cachekey, job.MetaData, len(job.RawMetaData), 24*time.Hour)\ninternal/repository/job.go:305:\treturn archive.UpdateMetadata(job, job.MetaData)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-306-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-307-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-308-// FetchFootprint retrieves and unmarshals the performance footprint JSON for a job.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-309-// Unlike FetchMetadata, footprints are NOT cached as they can be large and change frequently.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-310-//\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-381-\tr.cache.Put(cachekey, job.EnergyFootprint, len(job.EnergyFootprint), 24*time.Hour)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-382-\tcclog.Debugf(\"Timer FetchEnergyFootprint %s\", time.Since(start))\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-383-\treturn job.EnergyFootprint, nil\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-384-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-385-\ninternal/repository/job.go:386:// DeleteJobsBefore removes jobs older than the specified start time.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-387-// Optionally preserves tagged jobs to protect important data from deletion.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-388-// Cache entries for deleted jobs are automatically invalidated.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-389-//\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-390-// This is typically used for data retention policies and cleanup operations.\ninternal/repository/job.go-391-/ WARNING: This is a destructive operation that permanently deletes job records.\n--\ninternal/repository/job.go-394-/   - startTime: Unix timestamp, jobs with start_time < this value will be deleted\ninternal/repository/job.go-395-/   - omitTagged: \"none\" = delete all jobs, \"all\" = skip any tagged jobs,\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-396-//     \"user\" = skip jobs with user-created tags (not auto-tagger types \"app\"/\"jobClass\")\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-397-//\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-398-// Returns the count of deleted jobs or an error if the operation fails.\ninternal/repository/job.go:399:func (r *JobRepository) DeleteJobsBefore(startTime int64, omitTagged string) (int, error) {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-400-\tvar cnt int\ninternal/repository/job.go-401-\tq := sq.Select(\"count(*)\").From(\"job\").Where(\"job.start_time < ?\", startTime)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-402-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-403-\tswitch omitTagged {\ninternal/repository/job.go-404-\tcase \"all\":\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-451-\t}\ninternal/repository/job.go-452-\t_, err := qd.RunWith(r.DB).Exec()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-453-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-454-\tif err != nil {\ninternal/repository/job.go-455-\t\ts, _, _ := qd.ToSql()\ninternal/repository/job.go:456:\t\tcclog.Errorf(\" DeleteJobsBefore(%d) with %s: error %#v\", startTime, s, err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-457-\t} else {\ninternal/repository/job.go:458:\t\tcclog.Debugf(\"DeleteJobsBefore(%d): Deleted %d jobs\", startTime, cnt)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-459-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-460-\treturn cnt, err\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-461-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-462-\ninternal/repository/job.go:463:// DeleteJobByID permanently removes a single job by its database ID.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-464-// Cache entries for the deleted job are automatically invalidated.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-465-//\ninternal/repository/job.go-466-/ Parameters:\ninternal/repository/job.go-467-/   - id: Database ID (primary key) of the job to delete\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-468-//\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-469-// Returns an error if the deletion fails.\ninternal/repository/job.go:470:func (r *JobRepository) DeleteJobByID(id int64) error {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-471-\t// Invalidate cache entries before deletion\ninternal/repository/job.go-472-\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", id))\ninternal/repository/job.go-473-\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", id))\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-474-\ninternal/repository/job.go-475-\tqd := sq.Delete(\"job\").Where(\"job.id = ?\", id)\ninternal/repository/job.go-476-\t_, err := qd.RunWith(r.DB).Exec()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-477-\n\n[Showing results with pagination = limit: 100, offset: 0]"}]},"uuid":"2d409439-d0b4-4534-9c02-afd542f420b7","timestamp":"2026-03-16T10:19:08.651Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"cbc446a9-79c8-4247-9579-24c2e865a303","timestamp":"2026-03-16T10:19:08.652Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"cc2fbd65-7f66-4b04-a1e4-2904a32db284","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NdeBas8R1dYs6xyiYPL8nD","type":"tool_result","content":"   320→func Retention(wg *sync.WaitGroup, ctx context.Context) {\n   321→\tms := GetMemoryStore()\n   322→\n   323→\twg.Go(func() {\n   324→\t\td, err := time.ParseDuration(Keys.RetentionInMemory)\n   325→\t\tif err != nil {\n   326→\t\t\tcclog.Fatal(err)\n   327→\t\t}\n   328→\t\tif d <= 0 {\n   329→\t\t\treturn\n   330→\t\t}\n   331→\n   332→\t\ttickInterval := d / 2\n   333→\t\tif tickInterval <= 0 {\n   334→\t\t\treturn\n   335→\t\t}\n   336→\t\tticker := time.NewTicker(tickInterval)\n   337→\t\tdefer ticker.Stop()\n   338→\n   339→\t\tfor {\n   340→\t\t\tselect {\n   341→\t\t\tcase <-ctx.Done():\n   342→\t\t\t\treturn\n   343→\t\t\tcase <-ticker.C:\n   344→\t\t\t\tstate.mu.Lock()\n   345→\n   346→\t\t\t\tt := time.Now().Add(-d)\n   347→\n   348→\t\t\t\tstate.lastRetentionTime = t.Unix()\n   349→\n   350→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start freeing buffers (older than %s)...\\n\", t.Format(time.RFC3339))\n   351→\n   352→\t\t\t\tfreed, err := Free(ms, t)\n   353→\t\t\t\tif err != nil {\n   354→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> freeing up buffers failed: %s\\n\", err.Error())\n   355→\t\t\t\t} else {\n   356→\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d buffers freed\\n\", freed)\n   357→\t\t\t\t}\n   358→\n   359→\t\t\t\tstate.mu.Unlock()\n   360→\n   361→\t\t\t\t// Clean up the buffer pool\n   362→\t\t\t\tbufferPool.Clean(state.lastRetentionTime)\n   363→\t\t\t}\n   364→\t\t}\n   365→\t})\n   366→}\n   367→\n   368→// MemoryUsageTracker starts a background goroutine that monitors memory usage.\n   369→//\n   370→// This worker checks actual process memory usage (via runtime.MemStats) periodically\n   371→// and force-frees buffers if memory exceeds the configured cap. It uses FreeOSMemory()\n   372→// to return memory to the OS after freeing buffers, avoiding aggressive GC that causes\n   373→// performance issues.\n   374→//\n   375→// The tracker logs both actual memory usage (heap allocated) and metric data size for\n   376→// visibility into memory overhead from Go runtime structures and allocations.\n   377→//\n   378→// Parameters:\n   379→//   - wg: WaitGroup to signal completion when context is cancelled\n   380→//   - ctx: Context for cancellation signal\n   381→//\n   382→// The goroutine exits when ctx is cancelled.\n   383→func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n   384→\tms := GetMemoryStore()\n   385→\n   386→\twg.Go(func() {\n   387→\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n   388→\t\tfastInterval := 30 * time.Second\n   389→\n   390→\t\tif normalInterval <= 0 {\n   391→\t\t\treturn\n   392→\t\t}\n   393→\n   394→\t\tticker := time.NewTicker(normalInterval)\n   395→\t\tdefer ticker.Stop()\n   396→\t\tcurrentInterval := normalInterval\n   397→\n   398→\t\tfor {\n   399→\t\t\tselect {\n   400→\t\t\tcase <-ctx.Done():\n   401→\t\t\t\treturn\n   402→\t\t\tcase <-ticker.C:\n   403→\t\t\t\tvar mem runtime.MemStats\n   404→\t\t\t\truntime.ReadMemStats(&mem)\n   405→\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n   406→\t\t\t\tmetricDataGB := ms.SizeInGB()\n   407→\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n   408→\n   409→\t\t\t\tfreedExcluded := 0\n   410→\t\t\t\tfreedEmergency := 0\n   411→\t\t\t\tvar err error\n   412→\n   413→\t\t\t\tstate.mu.RLock()\n   414→\t\t\t\tlastRetention := state.lastRetentionTime\n   415→\t\t\t\tselectorsExcluded := state.selectorsExcluded\n   416→\t\t\t\tstate.mu.RUnlock()\n   417→\n   418→\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n   419→\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)"}]},"uuid":"5b4c35c0-fc01-4022-a011-013b32741288","timestamp":"2026-03-16T10:19:09.204Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"364641d9-347b-41a2-a9db-960427401ea3","timestamp":"2026-03-16T10:19:09.403Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"364641d9-347b-41a2-a9db-960427401ea3","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:09.618Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Wb4dkjYd4jwne2EgDyvMHQ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BDMqedPDw7gCBUtiqc5Kwq","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go","offset":383,"limit":50},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":328,"cache_read_input_tokens":58729,"cache_creation":{"ephemeral_5m_input_tokens":328,"ephemeral_1h_input_tokens":0},"output_tokens":25,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b8Es9pmtCHDiNfBQfT","uuid":"68992642-791f-465b-a8aa-3025b7bb3643"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"d2f5045b-6c97-44d5-8087-6b59bd23895a","timestamp":"2026-03-16T10:19:09.618Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d2f5045b-6c97-44d5-8087-6b59bd23895a","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HN9rNbdVCqsrRSEUmmGm2d","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// This file contains job statistics and histogram generation functionality for the JobRepository.\n     7→//\n     8→// # Job Statistics\n     9→//\n    10→// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n    11→// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n    12→//   - Overall (JobsStats): Single aggregate across all matching jobs\n    13→//   - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n    14→//   - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n    15→//\n    16→// All statistics methods support filtering via JobFilter and respect security contexts.\n    17→//\n    18→// # Histograms\n    19→//\n    20→// Histogram methods generate distribution data for visualization:\n    21→//   - Duration, nodes, cores, accelerators (AddHistograms)\n    22→//   - Job metrics like CPU load, memory usage (AddMetricHistograms)\n    23→//\n    24→// Histograms use intelligent binning:\n    25→//   - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n    26→//   - Resources: Natural value-based bins\n    27→//   - Metrics: Normalized to peak values with configurable bin counts\n    28→//\n    29→// # Running vs. Completed Jobs\n    30→//\n    31→// Statistics handle running jobs specially:\n    32→//   - Duration calculated as (now - start_time) for running jobs\n    33→//   - Metric histograms for running jobs load data from metric backend instead of footprint\n    34→//   - Job state filtering distinguishes running/completed jobs\n    35→//\n    36→// # Performance Considerations\n    37→//\n    38→// - All queries use prepared statements via stmtCache\n    39→// - Complex aggregations use SQL for efficiency\n    40→// - Histogram pre-initialization ensures consistent bin ranges\n    41→// - Metric histogram queries limited to 5000 jobs for running job analysis\n    42→\n    43→package repository\n    44→\n    45→import (\n    46→\t\"context\"\n    47→\t\"database/sql\"\n    48→\t\"fmt\"\n    49→\t\"time\"\n    50→\n    51→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    52→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    53→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    54→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    55→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    56→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    57→\tsq \"github.com/Masterminds/squirrel\"\n    58→\t\"golang.org/x/sync/errgroup\"\n    59→)\n    60→\n    61→// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n    62→// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n    63→// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\n    64→var groupBy2column = map[model.Aggregate]string{\n    65→\tmodel.AggregateUser:       \"job.hpc_user\",\n    66→\tmodel.AggregateProject:    \"job.project\",\n    67→\tmodel.AggregateCluster:    \"job.cluster\",\n    68→\tmodel.AggregateSubcluster: \"job.subcluster\",\n    69→}\n    70→\n    71→// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n    72→// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n    73→// Column names match the AS aliases used in buildStatsQuery.\n    74→var sortBy2column = map[model.SortByAggregate]string{\n    75→\tmodel.SortByAggregateTotaljobs:      \"totalJobs\",\n    76→\tmodel.SortByAggregateTotalusers:     \"totalUsers\",\n    77→\tmodel.SortByAggregateTotalwalltime:  \"totalWalltime\",\n    78→\tmodel.SortByAggregateTotalnodes:     \"totalNodes\",\n    79→\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n    80→\tmodel.SortByAggregateTotalcores:     \"totalCores\",\n    81→\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n    82→\tmodel.SortByAggregateTotalaccs:      \"totalAccs\",\n    83→\tmodel.SortByAggregateTotalacchours:  \"totalAccHours\",\n    84→}\n    85→\n    86→// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n    87→//\n    88→// Parameters:\n    89→//   - filter: Job filters to apply (cluster, user, time range, etc.)\n    90→//   - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n    91→//   - col: Column name to GROUP BY; empty string for total count without grouping\n    92→//\n    93→// Returns a SelectBuilder that produces either:\n    94→//   - Single count: COUNT(job.id) when col is empty\n    95→//   - Grouped counts: col, COUNT(job.id) when col is specified\n    96→//\n    97→// The kind parameter enables counting specific job categories:\n    98→//   - \"running\": Only jobs with job_state = 'running'\n    99→//   - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n   100→//   - empty: All jobs matching filters\n   101→func (r *JobRepository) buildCountQuery(\n   102→\tfilter []*model.JobFilter,\n   103→\tkind string,\n   104→\tcol string,\n   105→) sq.SelectBuilder {\n   106→\tvar query sq.SelectBuilder\n   107→\n   108→\tif col != \"\" {\n   109→\t\tquery = sq.Select(col, \"COUNT(*)\").From(\"job\").GroupBy(col)\n   110→\t} else {\n   111→\t\tquery = sq.Select(\"COUNT(*)\").From(\"job\")\n   112→\t}\n   113→\n   114→\tswitch kind {\n   115→\tcase \"running\":\n   116→\t\tquery = query.Where(\"job.job_state = 'running'\")\n   117→\tcase \"short\":\n   118→\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n   119→\t}\n   120→\n   121→\tfor _, f := range filter {\n   122→\t\tquery = BuildWhereClause(f, query)\n   123→\t}\n   124→\n   125→\treturn query\n   126→}\n   127→\n   128→// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n   129→// Only requested columns are computed; unrequested columns select 0 as placeholder.\n   130→//\n   131→// Parameters:\n   132→//   - filter: Job filters to apply (cluster, user, time range, etc.)\n   133→//   - col: Column name to GROUP BY; empty string for overall statistics without grouping\n   134→//   - shortThreshold: Duration threshold in seconds for counting short-running jobs\n   135→//   - reqFields: Set of requested field names; nil means compute all fields\n   136→func (r *JobRepository) buildStatsQuery(\n   137→\tfilter []*model.JobFilter,\n   138→\tcol string,\n   139→\tshortThreshold int,\n   140→\treqFields map[string]bool,\n   141→) sq.SelectBuilder {\n   142→\tnow := time.Now().Unix()\n   143→\n   144→\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n   145→\tneed := func(field string) bool {\n   146→\t\treturn reqFields == nil || reqFields[field]\n   147→\t}\n   148→\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n   149→\n   150→\t// Build column list\n   151→\tcolumns := make([]string, 0, 14)\n   152→\n   153→\tif col != \"\" {\n   154→\t\tcolumns = append(columns, col)\n   155→\t}\n   156→\n   157→\tcolumns = append(columns, \"COUNT(*) as totalJobs\")\n   158→\n   159→\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n   160→\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n   161→\t} else {\n   162→\t\tcolumns = append(columns, \"0 AS totalUsers\")\n   163→\t}\n   164→\n   165→\tif need(\"totalWalltime\") {\n   166→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n   167→\t} else {\n   168→\t\tcolumns = append(columns, \"0 as totalWalltime\")\n   169→\t}\n   170→\n   171→\tif need(\"totalNodes\") {\n   172→\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n   173→\t} else {\n   174→\t\tcolumns = append(columns, \"0 as totalNodes\")\n   175→\t}\n   176→\n   177→\tif need(\"totalNodeHours\") {\n   178→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n   179→\t} else {\n   180→\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n   181→\t}\n   182→\n   183→\tif need(\"totalCores\") {\n   184→\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n   185→\t} else {\n   186→\t\tcolumns = append(columns, \"0 as totalCores\")\n   187→\t}\n   188→\n   189→\tif need(\"totalCoreHours\") {\n   190→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n   191→\t} else {\n   192→\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n   193→\t}\n   194→\n   195→\tif need(\"totalAccs\") {\n   196→\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n   197→\t} else {\n   198→\t\tcolumns = append(columns, \"0 as totalAccs\")\n   199→\t}\n   200→\n   201→\tif need(\"totalAccHours\") {\n   202→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n   203→\t} else {\n   204→\t\tcolumns = append(columns, \"0 as totalAccHours\")\n   205→\t}\n   206→\n   207→\tif need(\"runningJobs\") {\n   208→\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n   209→\t} else {\n   210→\t\tcolumns = append(columns, \"0 as runningJobs\")\n   211→\t}\n   212→\n   213→\tif need(\"shortJobs\") {\n   214→\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n   215→\t} else {\n   216→\t\tcolumns = append(columns, \"0 as shortJobs\")\n   217→\t}\n   218→\n   219→\tquery := sq.Select(columns...).From(\"job\")\n   220→\tif col != \"\" {\n   221→\t\tquery = query.GroupBy(col)\n   222→\t}\n   223→\n   224→\tfor _, f := range filter {\n   225→\t\tquery = BuildWhereClause(f, query)\n   226→\t}\n   227→\n   228→\treturn query\n   229→}\n   230→\n   231→// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n   232→// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n   233→// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\n   234→func (r *JobRepository) JobsStatsGrouped(\n   235→\tctx context.Context,\n   236→\tfilter []*model.JobFilter,\n   237→\tpage *model.PageRequest,\n   238→\tsortBy *model.SortByAggregate,\n   239→\tgroupBy *model.Aggregate,\n   240→\treqFields map[string]bool,\n   241→) ([]*model.JobsStatistics, error) {\n   242→\tcol := groupBy2column[*groupBy]\n   243→\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n   244→\n   245→\tquery, err := SecurityCheck(ctx, query)\n   246→\tif err != nil {\n   247→\t\treturn nil, err\n   248→\t}\n   249→\n   250→\tif sortBy != nil {\n   251→\t\tsortBy := sortBy2column[*sortBy]\n   252→\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n   253→\t}\n   254→\tif page != nil && page.ItemsPerPage != -1 {\n   255→\t\tlimit := uint64(page.ItemsPerPage)\n   256→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n   257→\t}\n   258→\n   259→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n   260→\tif err != nil {\n   261→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n   262→\t\treturn nil, err\n   263→\t}\n   264→\tdefer rows.Close()\n   265→\n   266→\tstats := make([]*model.JobsStatistics, 0, 100)\n   267→\n   268→\tfor rows.Next() {\n   269→\t\tvar id sql.NullString\n   270→\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n   271→\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n   272→\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n   273→\t\t\treturn nil, err\n   274→\t\t}\n   275→\n   276→\t\tif id.Valid {\n   277→\t\t\tstats = append(stats,\n   278→\t\t\t\t&model.JobsStatistics{\n   279→\t\t\t\t\tID:             id.String,\n   280→\t\t\t\t\tTotalJobs:      int(jobs.Int64),\n   281→\t\t\t\t\tTotalUsers:     int(users.Int64),\n   282→\t\t\t\t\tTotalWalltime:  int(walltime.Int64),\n   283→\t\t\t\t\tTotalNodes:     int(nodes.Int64),\n   284→\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n   285→\t\t\t\t\tTotalCores:     int(cores.Int64),\n   286→\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n   287→\t\t\t\t\tTotalAccs:      int(accs.Int64),\n   288→\t\t\t\t\tTotalAccHours:  int(accHours.Int64),\n   289→\t\t\t\t\tRunningJobs:    int(runningJobs.Int64),\n   290→\t\t\t\t\tShortJobs:      int(shortJobs.Int64),\n   291→\t\t\t\t})\n   292→\t\t}\n   293→\t}\n   294→\n   295→\tif err := rows.Err(); err != nil {\n   296→\t\treturn nil, err\n   297→\t}\n   298→\n   299→\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n   300→\tif col == \"job.hpc_user\" && len(stats) > 0 {\n   301→\t\tusernames := make([]any, len(stats))\n   302→\t\tfor i, s := range stats {\n   303→\t\t\tusernames[i] = s.ID\n   304→\t\t}\n   305→\n   306→\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n   307→\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n   308→\t\tif err != nil {\n   309→\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n   310→\t\t\t// Non-fatal: stats are still valid without display names\n   311→\t\t} else {\n   312→\t\t\tdefer nameRows.Close()\n   313→\t\t\tnameMap := make(map[string]string, len(stats))\n   314→\t\t\tfor nameRows.Next() {\n   315→\t\t\t\tvar username, name string\n   316→\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n   317→\t\t\t\t\tnameMap[username] = name\n   318→\t\t\t\t}\n   319→\t\t\t}\n   320→\t\t\tfor _, s := range stats {\n   321→\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n   322→\t\t\t\t\ts.Name = name\n   323→\t\t\t\t}\n   324→\t\t\t}\n   325→\t\t}\n   326→\t}\n   327→\n   328→\treturn stats, nil\n   329→}\n   330→\n   331→// JobsStats computes overall job statistics across all matching jobs without grouping.\n   332→//\n   333→// This method provides a single aggregate view of job metrics, useful for dashboard\n   334→// summaries and overall system utilization reports.\n   335→//\n   336→// Parameters:\n   337→//   - ctx: Context for security checks and cancellation\n   338→//   - filter: Filters to apply (time range, cluster, job state, etc.)\n   339→//\n   340→// Returns a single-element slice containing aggregate statistics:\n   341→//   - totalJobs, totalUsers, totalWalltime\n   342→//   - totalNodeHours, totalCoreHours, totalAccHours\n   343→//\n   344→// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n   345→// Security checks are applied via SecurityCheck to respect user access levels.\n   346→func (r *JobRepository) JobsStats(\n   347→\tctx context.Context,\n   348→\tfilter []*model.JobFilter,\n   349→\treqFields map[string]bool,\n   350→) ([]*model.JobsStatistics, error) {\n   351→\tstart := time.Now()\n   352→\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n   353→\tquery, err := SecurityCheck(ctx, query)\n   354→\tif err != nil {\n   355→\t\treturn nil, err\n   356→\t}\n   357→\n   358→\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n   359→\tstats := make([]*model.JobsStatistics, 0, 1)\n   360→\n   361→\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n   362→\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n   363→\t\tcclog.Warn(\"Error while scanning rows\")\n   364→\t\treturn nil, err\n   365→\t}\n   366→\n   367→\tif jobs.Valid {\n   368→\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n   369→\n   370→\t\tif nodeHours.Valid {\n   371→\t\t\ttotalNodeHours = int(nodeHours.Int64)\n   372→\t\t}\n   373→\t\tif coreHours.Valid {\n   374→\t\t\ttotalCoreHours = int(coreHours.Int64)\n   375→\t\t}\n   376→\t\tif accHours.Valid {\n   377→\t\t\ttotalAccHours = int(accHours.Int64)\n   378→\t\t}\n   379→\t\tstats = append(stats,\n   380→\t\t\t&model.JobsStatistics{\n   381→\t\t\t\tTotalJobs:      int(jobs.Int64),\n   382→\t\t\t\tTotalUsers:     int(users.Int64),\n   383→\t\t\t\tTotalWalltime:  int(walltime.Int64),\n   384→\t\t\t\tTotalNodeHours: totalNodeHours,\n   385→\t\t\t\tTotalCoreHours: totalCoreHours,\n   386→\t\t\t\tTotalAccHours:  totalAccHours,\n   387→\t\t\t\tRunningJobs:    int(runningJobs.Int64),\n   388→\t\t\t\tShortJobs:      int(shortJobs.Int64),\n   389→\t\t\t})\n   390→\t}\n   391→\n   392→\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n   393→\treturn stats, nil\n   394→}\n   395→\n   396→// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n   397→// Returns 0.0 if the metric is not found or statType is invalid.\n   398→//\n   399→// Parameters:\n   400→//   - job: Job struct with populated Statistics field\n   401→//   - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n   402→//   - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n   403→//\n   404→// Returns the requested statistic value or 0.0 if not found.\n   405→func LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n   406→\tif stats, ok := job.Statistics[metric]; ok {\n   407→\t\tswitch statType {\n   408→\t\tcase \"avg\":\n   409→\t\t\treturn stats.Avg\n   410→\t\tcase \"max\":\n   411→\t\t\treturn stats.Max\n   412→\t\tcase \"min\":\n   413→\t\t\treturn stats.Min\n   414→\t\tdefault:\n   415→\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n   416→\t\t}\n   417→\t}\n   418→\n   419→\treturn 0.0\n   420→}\n   421→\n   422→// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n   423→//\n   424→// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n   425→// avoiding the overhead of calculating walltime and resource usage metrics.\n   426→//\n   427→// Parameters:\n   428→//   - ctx: Context for security checks\n   429→//   - filter: Filters to apply\n   430→//   - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n   431→//\n   432→// Returns JobsStatistics with only ID and TotalJobs populated for each group.\n   433→func (r *JobRepository) JobCountGrouped(\n   434→\tctx context.Context,\n   435→\tfilter []*model.JobFilter,\n   436→\tgroupBy *model.Aggregate,\n   437→) ([]*model.JobsStatistics, error) {\n   438→\tstart := time.Now()\n   439→\tcol := groupBy2column[*groupBy]\n   440→\tquery := r.buildCountQuery(filter, \"\", col)\n   441→\tquery, err := SecurityCheck(ctx, query)\n   442→\tif err != nil {\n   443→\t\treturn nil, err\n   444→\t}\n   445→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n   446→\tif err != nil {\n   447→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n   448→\t\treturn nil, err\n   449→\t}\n   450→\tdefer rows.Close()\n   451→\n   452→\tstats := make([]*model.JobsStatistics, 0, 100)\n   453→\n   454→\tfor rows.Next() {\n   455→\t\tvar id sql.NullString\n   456→\t\tvar cnt sql.NullInt64\n   457→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n   458→\t\t\tcclog.Warn(\"Error while scanning rows\")\n   459→\t\t\treturn nil, err\n   460→\t\t}\n   461→\t\tif id.Valid {\n   462→\t\t\tstats = append(stats,\n   463→\t\t\t\t&model.JobsStatistics{\n   464→\t\t\t\t\tID:        id.String,\n   465→\t\t\t\t\tTotalJobs: int(cnt.Int64),\n   466→\t\t\t\t})\n   467→\t\t}\n   468→\t}\n   469→\n   470→\tif err := rows.Err(); err != nil {\n   471→\t\treturn nil, err\n   472→\t}\n   473→\n   474→\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n   475→\treturn stats, nil\n   476→}\n   477→\n   478→// AddJobCountGrouped augments existing statistics with additional job counts by category.\n   479→//\n   480→// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n   481→// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n   482→//\n   483→// Parameters:\n   484→//   - ctx: Context for security checks\n   485→//   - filter: Filters to apply\n   486→//   - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n   487→//   - stats: Existing statistics to augment (modified in-place by ID matching)\n   488→//   - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n   489→//\n   490→// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n   491→// Groups without matching jobs will have 0 for the added field.\n   492→func (r *JobRepository) AddJobCountGrouped(\n   493→\tctx context.Context,\n   494→\tfilter []*model.JobFilter,\n   495→\tgroupBy *model.Aggregate,\n   496→\tstats []*model.JobsStatistics,\n   497→\tkind string,\n   498→) ([]*model.JobsStatistics, error) {\n   499→\tstart := time.Now()\n   500→\tcol := groupBy2column[*groupBy]\n   501→\tquery := r.buildCountQuery(filter, kind, col)\n   502→\tquery, err := SecurityCheck(ctx, query)\n   503→\tif err != nil {\n   504→\t\treturn nil, err\n   505→\t}\n   506→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n   507→\tif err != nil {\n   508→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n   509→\t\treturn nil, err\n   510→\t}\n   511→\tdefer rows.Close()\n   512→\n   513→\tcounts := make(map[string]int)\n   514→\n   515→\tfor rows.Next() {\n   516→\t\tvar id sql.NullString\n   517→\t\tvar cnt sql.NullInt64\n   518→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n   519→\t\t\tcclog.Warn(\"Error while scanning rows\")\n   520→\t\t\treturn nil, err\n   521→\t\t}\n   522→\t\tif id.Valid {\n   523→\t\t\tcounts[id.String] = int(cnt.Int64)\n   524→\t\t}\n   525→\t}\n   526→\n   527→\tif err := rows.Err(); err != nil {\n   528→\t\treturn nil, err\n   529→\t}\n   530→\n   531→\tswitch kind {\n   532→\tcase \"running\":\n   533→\t\tfor _, s := range stats {\n   534→\t\t\ts.RunningJobs = counts[s.ID]\n   535→\t\t}\n   536→\tcase \"short\":\n   537→\t\tfor _, s := range stats {\n   538→\t\t\ts.ShortJobs = counts[s.ID]\n   539→\t\t}\n   540→\t}\n   541→\n   542→\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n   543→\treturn stats, nil\n   544→}\n   545→\n   546→// AddJobCount augments existing overall statistics with additional job counts by category.\n   547→//\n   548→// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n   549→// to all statistics entries (typically just one).\n   550→//\n   551→// Parameters:\n   552→//   - ctx: Context for security checks\n   553→//   - filter: Filters to apply\n   554→//   - stats: Existing statistics to augment (modified in-place)\n   555→//   - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n   556→//\n   557→// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\n   558→func (r *JobRepository) AddJobCount(\n   559→\tctx context.Context,\n   560→\tfilter []*model.JobFilter,\n   561→\tstats []*model.JobsStatistics,\n   562→\tkind string,\n   563→) ([]*model.JobsStatistics, error) {\n   564→\tstart := time.Now()\n   565→\tquery := r.buildCountQuery(filter, kind, \"\")\n   566→\tquery, err := SecurityCheck(ctx, query)\n   567→\tif err != nil {\n   568→\t\treturn nil, err\n   569→\t}\n   570→\tvar cnt sql.NullInt64\n   571→\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n   572→\t\tcclog.Warn(\"Error while querying DB for job count\")\n   573→\t\treturn nil, err\n   574→\t}\n   575→\n   576→\tcount := int(cnt.Int64)\n   577→\n   578→\tswitch kind {\n   579→\tcase \"running\":\n   580→\t\tfor _, s := range stats {\n   581→\t\t\ts.RunningJobs = count\n   582→\t\t}\n   583→\tcase \"short\":\n   584→\t\tfor _, s := range stats {\n   585→\t\t\ts.ShortJobs = count\n   586→\t\t}\n   587→\t}\n   588→\n   589→\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n   590→\treturn stats, nil\n   591→}\n   592→\n   593→// AddHistograms augments statistics with distribution histograms for job properties.\n   594→//\n   595→// Generates histogram data for visualization of job duration, node count, core count,\n   596→// and accelerator count distributions. Duration histogram uses intelligent binning based\n   597→// on the requested resolution.\n   598→//\n   599→// Parameters:\n   600→//   - ctx: Context for security checks\n   601→//   - filter: Filters to apply to jobs included in histograms\n   602→//   - stat: Statistics struct to augment (modified in-place)\n   603→//   - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n   604→//\n   605→// Populates these fields in stat:\n   606→//   - HistDuration: Job duration distribution (zero-padded bins)\n   607→//   - HistNumNodes: Node count distribution\n   608→//   - HistNumCores: Core (hwthread) count distribution\n   609→//   - HistNumAccs: Accelerator count distribution\n   610→//\n   611→// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n   612→// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\n   613→func (r *JobRepository) AddHistograms(\n   614→\tctx context.Context,\n   615→\tfilter []*model.JobFilter,\n   616→\tstat *model.JobsStatistics,\n   617→\tdurationBins *string,\n   618→) (*model.JobsStatistics, error) {\n   619→\tstart := time.Now()\n   620→\n   621→\tvar targetBinCount int\n   622→\tvar targetBinSize int\n   623→\tswitch *durationBins {\n   624→\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n   625→\t\ttargetBinCount = 60\n   626→\t\ttargetBinSize = 60\n   627→\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n   628→\t\ttargetBinCount = 72\n   629→\t\ttargetBinSize = 600\n   630→\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n   631→\t\ttargetBinCount = 48\n   632→\t\ttargetBinSize = 3600\n   633→\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n   634→\t\ttargetBinCount = 12\n   635→\t\ttargetBinSize = 21600\n   636→\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n   637→\t\ttargetBinCount = 14\n   638→\t\ttargetBinSize = 43200\n   639→\tdefault: // 24h\n   640→\t\ttargetBinCount = 24\n   641→\t\ttargetBinSize = 3600\n   642→\t}\n   643→\n   644→\t// Run all 4 histogram queries in parallel — each writes a distinct struct field.\n   645→\tg, gctx := errgroup.WithContext(ctx)\n   646→\n   647→\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n   648→\n   649→\tg.Go(func() error {\n   650→\t\tvar err error\n   651→\t\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(gctx, value, filter, targetBinSize, &targetBinCount)\n   652→\t\tif err != nil {\n   653→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n   654→\t\t}\n   655→\t\treturn err\n   656→\t})\n   657→\tg.Go(func() error {\n   658→\t\tvar err error\n   659→\t\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(gctx, \"job.num_nodes as value\", filter)\n   660→\t\tif err != nil {\n   661→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n   662→\t\t}\n   663→\t\treturn err\n   664→\t})\n   665→\tg.Go(func() error {\n   666→\t\tvar err error\n   667→\t\tstat.HistNumCores, err = r.jobsStatisticsHistogram(gctx, \"job.num_hwthreads as value\", filter)\n   668→\t\tif err != nil {\n   669→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n   670→\t\t}\n   671→\t\treturn err\n   672→\t})\n   673→\tg.Go(func() error {\n   674→\t\tvar err error\n   675→\t\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(gctx, \"job.num_acc as value\", filter)\n   676→\t\tif err != nil {\n   677→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n   678→\t\t}\n   679→\t\treturn err\n   680→\t})\n   681→\n   682→\tif err := g.Wait(); err != nil {\n   683→\t\treturn nil, err\n   684→\t}\n   685→\n   686→\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n   687→\treturn stat, nil\n   688→}\n   689→\n   690→// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n   691→//\n   692→// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n   693→// and completed jobs differently: running jobs load data from metric backend, completed jobs\n   694→// use footprint data from database.\n   695→//\n   696→// Parameters:\n   697→//   - ctx: Context for security checks\n   698→//   - filter: Filters to apply (MUST contain State filter for running jobs)\n   699→//   - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n   700→//   - stat: Statistics struct to augment (modified in-place)\n   701→//   - targetBinCount: Number of histogram bins (default: 10)\n   702→//\n   703→// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n   704→//\n   705→// Binning algorithm:\n   706→//   - Values normalized to metric's peak value from cluster configuration\n   707→//   - Bins evenly distributed from 0 to peak\n   708→//   - Pre-initialized with zeros for consistent visualization\n   709→//\n   710→// Limitations:\n   711→//   - Running jobs: Limited to 5000 jobs for performance\n   712→//   - Requires valid cluster configuration with metric peak values\n   713→//   - Uses footprint statistic (avg/max/min) configured per metric\n   714→func (r *JobRepository) AddMetricHistograms(\n   715→\tctx context.Context,\n   716→\tfilter []*model.JobFilter,\n   717→\tmetrics []string,\n   718→\tstat *model.JobsStatistics,\n   719→\ttargetBinCount *int,\n   720→) (*model.JobsStatistics, error) {\n   721→\tstart := time.Now()\n   722→\n   723→\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n   724→\tfor _, f := range filter {\n   725→\t\tif f.State != nil {\n   726→\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n   727→\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n   728→\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n   729→\t\t\t\treturn stat, nil\n   730→\t\t\t}\n   731→\t\t}\n   732→\t}\n   733→\n   734→\t// All other cases: Query and make bins in sqlite directly\n   735→\tfor _, m := range metrics {\n   736→\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n   737→\t\tif err != nil {\n   738→\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n   739→\t\t\tcontinue\n   740→\t\t}\n   741→\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n   742→\t}\n   743→\n   744→\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n   745→\treturn stat, nil\n   746→}\n   747→\n   748→// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n   749→//\n   750→// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n   751→// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n   752→//\n   753→// Parameters:\n   754→//   - value: SQL expression that produces the histogram value, aliased as \"value\"\n   755→//   - filters: Job filters to apply\n   756→//\n   757→// Returns histogram points with Value (from column) and Count (number of jobs).\n   758→func (r *JobRepository) jobsStatisticsHistogram(\n   759→\tctx context.Context,\n   760→\tvalue string,\n   761→\tfilters []*model.JobFilter,\n   762→) ([]*model.HistoPoint, error) {\n   763→\tstart := time.Now()\n   764→\tquery, qerr := SecurityCheck(ctx,\n   765→\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n   766→\n   767→\tif qerr != nil {\n   768→\t\treturn nil, qerr\n   769→\t}\n   770→\n   771→\tfor _, f := range filters {\n   772→\t\tquery = BuildWhereClause(f, query)\n   773→\t}\n   774→\n   775→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n   776→\tif err != nil {\n   777→\t\tcclog.Error(\"Error while running query\")\n   778→\t\treturn nil, err\n   779→\t}\n   780→\tdefer rows.Close()\n   781→\n   782→\tpoints := make([]*model.HistoPoint, 0)\n   783→\t// is it possible to introduce zero values here? requires info about bincount\n   784→\tfor rows.Next() {\n   785→\t\tpoint := model.HistoPoint{}\n   786→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n   787→\t\t\tcclog.Warn(\"Error while scanning rows\")\n   788→\t\t\treturn nil, err\n   789→\t\t}\n   790→\n   791→\t\tpoints = append(points, &point)\n   792→\t}\n   793→\n   794→\tif err := rows.Err(); err != nil {\n   795→\t\treturn nil, err\n   796→\t}\n   797→\n   798→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n   799→\treturn points, nil\n   800→}\n   801→\n   802→// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n   803→//\n   804→// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n   805→// histograms which only return bins with data. The value parameter should compute\n   806→// the bin number from job duration.\n   807→//\n   808→// Parameters:\n   809→//   - value: SQL expression computing bin number from duration, aliased as \"value\"\n   810→//   - filters: Job filters to apply\n   811→//   - binSizeSeconds: Width of each bin in seconds\n   812→//   - targetBinCount: Number of bins to pre-initialize\n   813→//\n   814→// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n   815→// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n   816→//\n   817→// Algorithm:\n   818→//  1. Pre-initialize targetBinCount bins with zero counts\n   819→//  2. Query database for actual counts per bin\n   820→//  3. Match query results to pre-initialized bins by value\n   821→//  4. Bins without matches remain at zero\n   822→func (r *JobRepository) jobsDurationStatisticsHistogram(\n   823→\tctx context.Context,\n   824→\tvalue string,\n   825→\tfilters []*model.JobFilter,\n   826→\tbinSizeSeconds int,\n   827→\ttargetBinCount *int,\n   828→) ([]*model.HistoPoint, error) {\n   829→\tstart := time.Now()\n   830→\tquery, qerr := SecurityCheck(ctx,\n   831→\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n   832→\n   833→\tif qerr != nil {\n   834→\t\treturn nil, qerr\n   835→\t}\n   836→\n   837→\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n   838→\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n   839→\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n   840→\tfor i := 1; i <= *targetBinCount; i++ {\n   841→\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n   842→\t\tpoints = append(points, &point)\n   843→\t}\n   844→\n   845→\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n   846→\tbinMap := make(map[int]int, len(points))\n   847→\tfor i, p := range points {\n   848→\t\tbinMap[p.Value] = i\n   849→\t}\n   850→\n   851→\tfor _, f := range filters {\n   852→\t\tquery = BuildWhereClause(f, query)\n   853→\t}\n   854→\n   855→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n   856→\tif err != nil {\n   857→\t\tcclog.Error(\"Error while running query\")\n   858→\t\treturn nil, err\n   859→\t}\n   860→\tdefer rows.Close()\n   861→\n   862→\t// Match query results to pre-initialized bins using map lookup.\n   863→\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n   864→\tfor rows.Next() {\n   865→\t\tpoint := model.HistoPoint{}\n   866→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n   867→\t\t\tcclog.Warn(\"Error while scanning rows\")\n   868→\t\t\treturn nil, err\n   869→\t\t}\n   870→\n   871→\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n   872→\t\t\tpoints[idx].Count = point.Count\n   873→\t\t}\n   874→\t}\n   875→\n   876→\tif err := rows.Err(); err != nil {\n   877→\t\treturn nil, err\n   878→\t}\n   879→\n   880→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n   881→\treturn points, nil\n   882→}\n   883→\n   884→// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n   885→//\n   886→// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n   887→// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n   888→// and computing bin assignments in SQL.\n   889→//\n   890→// Parameters:\n   891→//   - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n   892→//   - filters: Job filters to apply\n   893→//   - bins: Number of bins to generate\n   894→//\n   895→// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n   896→//\n   897→// Algorithm:\n   898→//  1. Determine peak value from cluster configuration (filtered cluster or max across all)\n   899→//  2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n   900→//  3. Pre-initialize bins with min/max ranges based on peak value\n   901→//  4. Query database for counts per bin\n   902→//  5. Match results to pre-initialized bins\n   903→//\n   904→// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n   905→// peak by 0.999999999 to avoid creating an extra bin.\n   906→func (r *JobRepository) jobsMetricStatisticsHistogram(\n   907→\tctx context.Context,\n   908→\tmetric string,\n   909→\tfilters []*model.JobFilter,\n   910→\tbins *int,\n   911→) (*model.MetricHistoPoints, error) {\n   912→\t// Peak value defines the upper bound for binning: values are distributed across\n   913→\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n   914→\t// scan all clusters to find the maximum peak value.\n   915→\tvar metricConfig *schema.MetricConfig\n   916→\tvar peak float64\n   917→\tvar unit string\n   918→\tvar footprintStat string\n   919→\n   920→\t// Try to get metric config from filtered cluster\n   921→\tfor _, f := range filters {\n   922→\t\tif f.Cluster != nil {\n   923→\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n   924→\t\t\tpeak = metricConfig.Peak\n   925→\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n   926→\t\t\tfootprintStat = metricConfig.Footprint\n   927→\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n   928→\t\t}\n   929→\t}\n   930→\n   931→\t// If no cluster filter or peak not found, find largest peak across all clusters\n   932→\t// This ensures histogram can accommodate all possible values\n   933→\tif peak == 0.0 {\n   934→\t\tfor _, c := range archive.Clusters {\n   935→\t\t\tfor _, m := range c.MetricConfig {\n   936→\t\t\t\tif m.Name == metric {\n   937→\t\t\t\t\tif m.Peak > peak {\n   938→\t\t\t\t\t\tpeak = m.Peak\n   939→\t\t\t\t\t}\n   940→\t\t\t\t\tif unit == \"\" {\n   941→\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n   942→\t\t\t\t\t}\n   943→\t\t\t\t\tif footprintStat == \"\" {\n   944→\t\t\t\t\t\tfootprintStat = m.Footprint\n   945→\t\t\t\t\t}\n   946→\t\t\t\t}\n   947→\t\t\t}\n   948→\t\t}\n   949→\t}\n   950→\n   951→\t// Construct SQL histogram bins using normalized values.\n   952→\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n   953→\tstart := time.Now()\n   954→\n   955→\t// Bin calculation formula:\n   956→\t//   bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n   957→\t// Special case: value == peak would create bin N+1, so we test for equality\n   958→\t// and multiply peak by 0.999999999 to force it into bin N.\n   959→\tbinQuery := fmt.Sprintf(`CAST(\n   960→\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n   961→\t\t* %v as INTEGER )`,\n   962→\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n   963→\n   964→\tmainQuery := sq.Select(\n   965→\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n   966→\t\t`count(*) as count`,\n   967→\t).From(\"job\").Where(\n   968→\t\t\"JSON_VALID(footprint)\",\n   969→\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n   970→\n   971→\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n   972→\tif qerr != nil {\n   973→\t\treturn nil, qerr\n   974→\t}\n   975→\n   976→\tfor _, f := range filters {\n   977→\t\tmainQuery = BuildWhereClause(f, mainQuery)\n   978→\t}\n   979→\n   980→\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n   981→\n   982→\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n   983→\tif err != nil {\n   984→\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n   985→\t\treturn nil, err\n   986→\t}\n   987→\tdefer rows.Close()\n   988→\n   989→\t// Pre-initialize bins with calculated min/max ranges.\n   990→\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n   991→\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n   992→\tbinStep := int(peak) / *bins\n   993→\tfor i := 1; i <= *bins; i++ {\n   994→\t\tbinMin := (binStep * (i - 1))\n   995→\t\tbinMax := (binStep * i)\n   996→\t\tidx := i\n   997→\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n   998→\t\tpoints = append(points, &epoint)\n   999→\t}\n  1000→\n  1001→\t// Build a map from bin number to slice index for O(1) lookup.\n  1002→\tbinMap := make(map[int]int, len(points))\n  1003→\tfor i, p := range points {\n  1004→\t\tif p.Bin != nil {\n  1005→\t\t\tbinMap[*p.Bin] = i\n  1006→\t\t}\n  1007→\t}\n  1008→\n  1009→\t// Match query results to pre-initialized bins using map lookup.\n  1010→\tfor rows.Next() {\n  1011→\t\trpoint := model.MetricHistoPoint{}\n  1012→\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n  1013→\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n  1014→\t\t\treturn nil, err\n  1015→\t\t}\n  1016→\n  1017→\t\tif rpoint.Bin != nil {\n  1018→\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n  1019→\t\t\t\tpoints[idx].Count = rpoint.Count\n  1020→\t\t\t}\n  1021→\t\t}\n  1022→\t}\n  1023→\n  1024→\tif err := rows.Err(); err != nil {\n  1025→\t\treturn nil, err\n  1026→\t}\n  1027→\n  1028→\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n  1029→\n  1030→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n  1031→\treturn &result, nil\n  1032→}\n  1033→\n  1034→// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n  1035→//\n  1036→// Unlike completed jobs which use footprint data from the database, running jobs require\n  1037→// fetching current metric averages from the metric backend (via metricdispatch).\n  1038→//\n  1039→// Parameters:\n  1040→//   - metrics: List of metric names\n  1041→//   - filters: Job filters (should filter to running jobs only)\n  1042→//   - bins: Number of histogram bins\n  1043→//\n  1044→// Returns slice of MetricHistoPoints, one per metric.\n  1045→//\n  1046→// Limitations:\n  1047→//   - Maximum 5000 jobs (returns nil if more jobs match)\n  1048→//   - Requires metric backend availability\n  1049→//   - Bins based on metric peak values from cluster configuration\n  1050→//\n  1051→// Algorithm:\n  1052→//  1. Query first 5001 jobs to check count limit\n  1053→//  2. Load metric averages for all jobs via metricdispatch\n  1054→//  3. For each metric, create bins based on peak value\n  1055→//  4. Iterate averages and count jobs per bin\n  1056→func (r *JobRepository) runningJobsMetricStatisticsHistogram(\n  1057→\tctx context.Context,\n  1058→\tmetrics []string,\n  1059→\tfilters []*model.JobFilter,\n  1060→\tbins *int,\n  1061→) []*model.MetricHistoPoints {\n  1062→\t// Get Jobs\n  1063→\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n  1064→\tif err != nil {\n  1065→\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n  1066→\t\treturn nil\n  1067→\t}\n  1068→\tif len(jobs) > 5000 {\n  1069→\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n  1070→\t\treturn nil\n  1071→\t}\n  1072→\n  1073→\t// Get AVGs from metric repo\n  1074→\tavgs := make([][]schema.Float, len(metrics))\n  1075→\tfor i := range avgs {\n  1076→\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n  1077→\t}\n  1078→\n  1079→\tfor _, job := range jobs {\n  1080→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n  1081→\t\t\tcontinue\n  1082→\t\t}\n  1083→\n  1084→\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n  1085→\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n  1086→\t\t\treturn nil\n  1087→\t\t}\n  1088→\t}\n  1089→\n  1090→\t// Iterate metrics to fill endresult\n  1091→\tdata := make([]*model.MetricHistoPoints, 0)\n  1092→\tfor idx, metric := range metrics {\n  1093→\t\t// Get specific Peak or largest Peak\n  1094→\t\tvar metricConfig *schema.MetricConfig\n  1095→\t\tvar peak float64\n  1096→\t\tvar unit string\n  1097→\n  1098→\t\tfor _, f := range filters {\n  1099→\t\t\tif f.Cluster != nil {\n  1100→\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n  1101→\t\t\t\tpeak = metricConfig.Peak\n  1102→\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n  1103→\t\t\t}\n  1104→\t\t}\n  1105→\n  1106→\t\tif peak == 0.0 {\n  1107→\t\t\tfor _, c := range archive.Clusters {\n  1108→\t\t\t\tfor _, m := range c.MetricConfig {\n  1109→\t\t\t\t\tif m.Name == metric {\n  1110→\t\t\t\t\t\tif m.Peak > peak {\n  1111→\t\t\t\t\t\t\tpeak = m.Peak\n  1112→\t\t\t\t\t\t}\n  1113→\t\t\t\t\t\tif unit == \"\" {\n  1114→\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n  1115→\t\t\t\t\t\t}\n  1116→\t\t\t\t\t}\n  1117→\t\t\t\t}\n  1118→\t\t\t}\n  1119→\t\t}\n  1120→\n  1121→\t\t// Make and fill bins\n  1122→\t\tpeakBin := int(peak) / *bins\n  1123→\n  1124→\t\tpoints := make([]*model.MetricHistoPoint, 0)\n  1125→\t\tfor b := 0; b < *bins; b++ {\n  1126→\t\t\tcount := 0\n  1127→\t\t\tbindex := b + 1\n  1128→\t\t\tbmin := peakBin * b\n  1129→\t\t\tbmax := peakBin * (b + 1)\n  1130→\n  1131→\t\t\t// Iterate AVG values for indexed metric and count for bins\n  1132→\t\t\tfor _, val := range avgs[idx] {\n  1133→\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n  1134→\t\t\t\t\tcount += 1\n  1135→\t\t\t\t}\n  1136→\t\t\t}\n  1137→\n  1138→\t\t\t// Append Bin to Metric Result Array\n  1139→\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n  1140→\t\t\tpoints = append(points, &point)\n  1141→\t\t}\n  1142→\n  1143→\t\t// Append Metric Result Array to final results array\n  1144→\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n  1145→\t\tdata = append(data, &result)\n  1146→\t}\n  1147→\n  1148→\treturn data\n  1149→}\n  1150→"}]},"uuid":"f9ec8bb1-eb87-4b8e-ba63-6c7359f1ebaf","timestamp":"2026-03-16T10:19:09.512Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"3d727ce9-207b-48f2-939d-485b96ffc617","timestamp":"2026-03-16T10:19:09.655Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"3d727ce9-207b-48f2-939d-485b96ffc617","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BDMqedPDw7gCBUtiqc5Kwq","type":"tool_result","content":"   383→func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n   384→\tms := GetMemoryStore()\n   385→\n   386→\twg.Go(func() {\n   387→\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n   388→\t\tfastInterval := 30 * time.Second\n   389→\n   390→\t\tif normalInterval <= 0 {\n   391→\t\t\treturn\n   392→\t\t}\n   393→\n   394→\t\tticker := time.NewTicker(normalInterval)\n   395→\t\tdefer ticker.Stop()\n   396→\t\tcurrentInterval := normalInterval\n   397→\n   398→\t\tfor {\n   399→\t\t\tselect {\n   400→\t\t\tcase <-ctx.Done():\n   401→\t\t\t\treturn\n   402→\t\t\tcase <-ticker.C:\n   403→\t\t\t\tvar mem runtime.MemStats\n   404→\t\t\t\truntime.ReadMemStats(&mem)\n   405→\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n   406→\t\t\t\tmetricDataGB := ms.SizeInGB()\n   407→\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n   408→\n   409→\t\t\t\tfreedExcluded := 0\n   410→\t\t\t\tfreedEmergency := 0\n   411→\t\t\t\tvar err error\n   412→\n   413→\t\t\t\tstate.mu.RLock()\n   414→\t\t\t\tlastRetention := state.lastRetentionTime\n   415→\t\t\t\tselectorsExcluded := state.selectorsExcluded\n   416→\t\t\t\tstate.mu.RUnlock()\n   417→\n   418→\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n   419→\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n   420→\t\t\t\t\tif err != nil {\n   421→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n   422→\t\t\t\t\t}\n   423→\n   424→\t\t\t\t\tif freedExcluded > 0 {\n   425→\t\t\t\t\t\tdebug.FreeOSMemory()\n   426→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n   427→\t\t\t\t\t}\n   428→\t\t\t\t}\n   429→\n   430→\t\t\t\truntime.ReadMemStats(&mem)\n   431→\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n   432→"}]},"uuid":"8afd56f5-3c74-4d80-b2d8-b38add00c409","timestamp":"2026-03-16T10:19:09.634Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"64c07368-b716-4c0d-b135-89a1e98c44fe","timestamp":"2026-03-16T10:19:09.824Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"b53bdf0a-84a1-4d2c-be34-da2fd2a75015","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Wke3q6AQfNPJfDb6aXQays","type":"tool_result","content":"   118→func WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n   119→\twg.Go(func() {\n   120→\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n   121→\t\t\treturn\n   122→\t\t}\n   123→\n   124→\t\thostFiles := make(map[string]*walFileState)\n   125→\n   126→\t\tdefer func() {\n   127→\t\t\tfor _, ws := range hostFiles {\n   128→\t\t\t\tif ws.f != nil {\n   129→\t\t\t\t\tws.w.Flush()\n   130→\t\t\t\t\tws.f.Close()\n   131→\t\t\t\t}\n   132→\t\t\t}\n   133→\t\t}()\n   134→\n   135→\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n   136→\t\t\tws, ok := hostFiles[hostDir]\n   137→\t\t\tif ok {\n   138→\t\t\t\treturn ws\n   139→\t\t\t}\n   140→\n   141→\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n   142→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n   143→\t\t\t\treturn nil\n   144→\t\t\t}\n   145→\n   146→\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n   147→\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n   148→\t\t\tif err != nil {\n   149→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n   150→\t\t\t\treturn nil\n   151→\t\t\t}\n   152→\n   153→\t\t\tw := bufio.NewWriter(f)\n   154→\n   155→\t\t\t// Write file header magic if file is new (empty).\n   156→\t\t\tinfo, err := f.Stat()\n   157→\t\t\tif err == nil && info.Size() == 0 {\n   158→\t\t\t\tvar hdr [4]byte\n   159→\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n   160→\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n   161→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n   162→\t\t\t\t\tf.Close()\n   163→\t\t\t\t\treturn nil\n   164→\t\t\t\t}\n   165→\t\t\t}\n   166→\n   167→\t\t\tws = &walFileState{f: f, w: w}\n   168→\t\t\thostFiles[hostDir] = ws\n   169→\t\t\treturn ws\n   170→\t\t}\n   171→\n   172→\t\tprocessMsg := func(msg *WALMessage) {\n   173→\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n   174→\t\t\tws := getOrOpenWAL(hostDir)\n   175→\t\t\tif ws == nil {\n   176→\t\t\t\treturn\n   177→\t\t\t}\n   178→\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n   179→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n   180→\t\t\t}\n   181→\t\t}\n   182→\n   183→\t\tprocessRotate := func(req walRotateReq) {\n   184→\t\t\tws, ok := hostFiles[req.hostDir]\n   185→\t\t\tif ok && ws.f != nil {\n   186→\t\t\t\tws.w.Flush()\n   187→\t\t\t\tws.f.Close()\n   188→\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n   189→\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n   190→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n   191→\t\t\t\t}\n   192→\t\t\t\tdelete(hostFiles, req.hostDir)\n   193→\t\t\t}\n   194→\t\t\tclose(req.done)\n   195→\t\t}\n   196→\n   197→\t\tdrain := func() {\n   198→\t\t\tfor {\n   199→\t\t\t\tselect {\n   200→\t\t\t\tcase msg, ok := <-WALMessages:\n   201→\t\t\t\t\tif !ok {\n   202→\t\t\t\t\t\treturn\n   203→\t\t\t\t\t}\n   204→\t\t\t\t\tprocessMsg(msg)\n   205→\t\t\t\tcase req := <-walRotateCh:\n   206→\t\t\t\t\tprocessRotate(req)\n   207→\t\t\t\tdefault:\n   208→\t\t\t\t\t// Flush all buffered writers after draining remaining messages.\n   209→\t\t\t\t\tfor _, ws := range hostFiles {\n   210→\t\t\t\t\t\tif ws.f != nil {\n   211→\t\t\t\t\t\t\tws.w.Flush()\n   212→\t\t\t\t\t\t}\n   213→\t\t\t\t\t}\n   214→\t\t\t\t\treturn\n   215→\t\t\t\t}\n   216→\t\t\t}\n   217→\t\t}"}]},"uuid":"bad871d2-53e5-4b7c-857d-5ca2862605c0","timestamp":"2026-03-16T10:19:09.850Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"c836fbc7-23f4-4259-aa17-5bbd308c7417","timestamp":"2026-03-16T10:19:09.858Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"42853b46-0307-4026-b9c3-cba832d977e0","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EeAXSEun1yp9HgsSEHSEkD","type":"tool_result","content":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-124-\ninternal/archiver/archiveWorker.go-125-\t\t\tstart := time.Now()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-126-\t\t\t// not using meta data, called to load JobMeta into Cache?\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-127-\t\t\t// will fail if job meta not in repository\ninternal/archiver/archiveWorker.go-128-\t\t\tif _, err := jobRepo.FetchMetadata(job); err != nil {\ninternal/archiver/archiveWorker.go-129-\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at check metadata step: %s\", *job.ID, err.Error())\ninternal/archiver/archiveWorker.go:130:\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-131-\t\t\t\tarchivePending.Done()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-132-\t\t\t\tcontinue\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-133-\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-134-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-135-\t\t\t// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-136-\t\t\t// Use shutdown context to allow cancellation\ninternal/archiver/archiveWorker.go-137-\t\t\tjobMeta, err := ArchiveJob(job, shutdownCtx)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-138-\t\t\tif err != nil {\ninternal/archiver/archiveWorker.go-139-\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at archiving job step: %s\", *job.ID, err.Error())\ninternal/archiver/archiveWorker.go:140:\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-141-\t\t\t\tarchivePending.Done()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-142-\t\t\t\tcontinue\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-143-\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-144-\ninternal/archiver/archiveWorker.go-145-\t\t\tstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-146-\ninternal/archiver/archiveWorker.go:147:\t\t\tif stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {\ninternal/archiver/archiveWorker.go-148-\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Footprint step: %s\", *job.ID, err.Error())\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-149-\t\t\t\tarchivePending.Done()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-150-\t\t\t\tcontinue\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-151-\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-152-\t\t\tif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta); err != nil {\ninternal/archiver/archiveWorker.go-153-\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Energy step: %s\", *job.ID, err.Error())\n--\ninternal/taskmanager/updateFootprintService.go-108-\t\t\t\t\t\t\t\tMax: (math.Round(max*100) / 100),\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-109-\t\t\t\t\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-110-\t\t\t\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-111-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-112-\t\t\t\t\t\t// Build Statement per Job, Add to Pending Array\ninternal/taskmanager/updateFootprintService.go-113-\t\t\t\t\t\tstmt := sq.Update(\"job\")\ninternal/taskmanager/updateFootprintService.go:114:\t\t\t\t\t\tstmt, err = jobRepo.UpdateFootprint(stmt, job)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-115-\t\t\t\t\t\tif err != nil {\ninternal/taskmanager/updateFootprintService.go-116-\t\t\t\t\t\t\tcclog.Errorf(\"update job (dbid: %d) statement build failed at footprint step: %s\", *job.ID, err.Error())\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-117-\t\t\t\t\t\t\tce++\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-118-\t\t\t\t\t\t\tcontinue\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-119-\t\t\t\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-120-\t\t\t\t\t\tstmt = stmt.Where(\"job.id = ?\", job.ID)\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-878-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-879-\ninternal/repository/job.go-880-\tcclog.Debugf(\"JobRepository.FindJobsBetween(): Return job count %d (omitTagged: %v)\", len(jobs), omitTagged)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-881-\treturn jobs, nil\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-882-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-883-\ninternal/repository/job.go:884:// UpdateMonitoringStatus updates the monitoring status for a job and invalidates its cache entries.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-885-// Cache invalidation affects both metadata and energy footprint to ensure consistency.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-886-//\ninternal/repository/job.go-887-/ Parameters:\ninternal/repository/job.go-888-/   - job: Database ID of the job to update\ninternal/repository/job.go-889-/   - monitoringStatus: New monitoring status value (see schema.MonitoringStatus constants)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-890-//\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-891-// Returns an error if the database update fails.\ninternal/repository/job.go:892:func (r *JobRepository) UpdateMonitoringStatus(job int64, monitoringStatus int32) (err error) {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-893-\t// Invalidate cache entries as monitoring status affects job state\ninternal/repository/job.go-894-\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", job))\ninternal/repository/job.go-895-\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", job))\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-896-\ninternal/repository/job.go-897-\tstmt := sq.Update(\"job\").\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-898-\t\tSet(\"monitoring_status\", monitoringStatus).\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-995-\t\treturn stmt, err\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-996-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-997-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-998-\treturn stmt.Set(\"energy_footprint\", string(rawFootprint)).Set(\"energy\", (math.Round(totalEnergy*100.0) / 100.0)), nil\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-999-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1000-\ninternal/repository/job.go:1001:// UpdateFootprint calculates and updates the performance footprint for a job.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1002-// This is called for running jobs during intermediate updates or when archiving.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1003-//\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1004-// A footprint is a summary statistic (avg/min/max) for each monitored metric.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1005-// The specific statistic type is defined in the cluster config's Footprint field.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1006-// Results are stored as JSON with keys like \"metric_avg\", \"metric_max\", etc.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1007-//\ninternal/repository/job.go-1008-/ Example: For a \"cpu_load\" metric with Footprint=\"avg\", this stores\ninternal/repository/job.go-1009-/ the average CPU load across all nodes as \"cpu_load_avg\": 85.3\ninternal/repository/job.go:1010:func (r *JobRepository) UpdateFootprint(\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1011-\tstmt sq.UpdateBuilder,\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1012-\tjobMeta *schema.Job,\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1013-) (sq.UpdateBuilder, error) {\ninternal/repository/job.go-1014-\tsc, err := archive.GetSubCluster(jobMeta.Cluster, jobMeta.SubCluster)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1015-\tif err != nil {\ninternal/repository/job.go-1016-\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())"}]},"uuid":"e5e36eaa-7900-4af3-993b-b2c8da96baac","timestamp":"2026-03-16T10:19:13.589Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"99a8aead-73dd-4955-b399-2c2034eab6cf","timestamp":"2026-03-16T10:19:13.736Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"bbf395e0-386e-4ea2-95f1-ccf1faa4adbb","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012Edqe79j7zb4bx8wAxFD93","type":"tool_result","content":"   908→// Execute runs a Squirrel UpdateBuilder statement against the database.\n   909→// This is a generic helper for executing pre-built update queries.\n   910→//\n   911→// Parameters:\n   912→//   - stmt: Squirrel UpdateBuilder with prepared update query\n   913→//\n   914→// Returns an error if the execution fails.\n   915→func (r *JobRepository) Execute(stmt sq.UpdateBuilder) error {\n   916→\tif _, err := stmt.RunWith(r.stmtCache).Exec(); err != nil {\n   917→\t\tcclog.Errorf(\"Error while executing statement: %v\", err)\n   918→\t\treturn fmt.Errorf(\"failed to execute update statement: %w\", err)\n   919→\t}\n   920→\n   921→\treturn nil\n   922→}\n   923→\n   924→// MarkArchived adds monitoring status update to an existing UpdateBuilder statement.\n   925→// This is a builder helper used when constructing multi-field update queries.\n   926→//\n   927→// Parameters:\n   928→//   - stmt: Existing UpdateBuilder to modify\n   929→//   - monitoringStatus: Monitoring status value to set\n   930→//\n   931→// Returns the modified UpdateBuilder for method chaining.\n   932→func (r *JobRepository) MarkArchived(\n   933→\tstmt sq.UpdateBuilder,\n   934→\tmonitoringStatus int32,\n   935→) sq.UpdateBuilder {\n   936→\treturn stmt.Set(\"monitoring_status\", monitoringStatus)\n   937→}\n   938→\n   939→// UpdateEnergy calculates and updates the energy consumption for a job.\n   940→// This is called for running jobs during intermediate updates or when archiving.\n   941→//\n   942→// Energy calculation formula:\n   943→//   - For \"power\" metrics: Energy (kWh) = (Power_avg * NumNodes * Duration_hours) / 1000\n   944→//   - For \"energy\" metrics: Currently not implemented (would need sum statistics)\n   945→//\n   946→// The calculation accounts for:\n   947→//   - Multi-node jobs: Multiplies by NumNodes to get total cluster energy\n   948→//   - Shared jobs: Node average is already based on partial resources, so NumNodes=1\n   949→//   - Unit conversion: Watts * hours / 1000 = kilowatt-hours (kWh)\n   950→//   - Rounding: Results rounded to 2 decimal places\n   951→func (r *JobRepository) UpdateEnergy(\n   952→\tstmt sq.UpdateBuilder,\n   953→\tjobMeta *schema.Job,\n   954→) (sq.UpdateBuilder, error) {\n   955→\tsc, err := archive.GetSubCluster(jobMeta.Cluster, jobMeta.SubCluster)\n   956→\tif err != nil {\n   957→\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())\n   958→\t\treturn stmt, err\n   959→\t}\n   960→\tenergyFootprint := make(map[string]float64)\n   961→\n   962→\t// Accumulate total energy across all energy-related metrics\n   963→\ttotalEnergy := 0.0\n   964→\tfor _, fp := range sc.EnergyFootprint {\n   965→\t\t// Calculate energy for this specific metric\n   966→\t\tmetricEnergy := 0.0\n   967→\t\tif i, err := archive.MetricIndex(sc.MetricConfig, fp); err == nil {\n   968→\t\t\tswitch sc.MetricConfig[i].Energy {\n   969→\t\t\tcase \"energy\": // Metric already in energy units (Joules or Wh)\n   970→\t\t\t\tcclog.Warnf(\"Update EnergyFootprint for Job %d and Metric %s on cluster %s: Set to 'energy' in cluster.json: Not implemented, will return 0.0\", jobMeta.JobID, jobMeta.Cluster, fp)\n   971→\t\t\t\t// FIXME: Needs sum as stats type to accumulate energy values over time\n   972→\t\t\tcase \"power\": // Metric in power units (Watts)\n   973→\t\t\t\t// Energy (kWh) = Power (W) × Time (h) / 1000\n   974→\t\t\t\t// Formula: (avg_power_per_node * num_nodes) * (duration_sec / 3600) / 1000\n   975→\t\t\t\t//\n   976→\t\t\t\t// Breakdown:\n   977→\t\t\t\t//   LoadJobStat(jobMeta, fp, \"avg\") = average power per node (W)\n   978→\t\t\t\t//   jobMeta.NumNodes = number of nodes (1 for shared jobs)\n   979→\t\t\t\t//   jobMeta.Duration / 3600.0 = duration in hours\n   980→\t\t\t\t//   / 1000.0 = convert Wh to kWh\n   981→\t\t\t\trawEnergy := ((LoadJobStat(jobMeta, fp, \"avg\") * float64(jobMeta.NumNodes)) * (float64(jobMeta.Duration) / 3600.0)) / 1000.0\n   982→\t\t\t\tmetricEnergy = math.Round(rawEnergy*100.0) / 100.0 // Round to 2 decimal places\n   983→\t\t\t}\n   984→\t\t} else {\n   985→\t\t\tcclog.Warnf(\"Error while collecting energy metric %s for job, DB ID '%v', return '0.0'\", fp, jobMeta.ID)\n   986→\t\t}\n   987→\n   988→\t\tenergyFootprint[fp] = metricEnergy\n   989→\t\ttotalEnergy += metricEnergy\n   990→\t}\n   991→\n   992→\tvar rawFootprint []byte\n   993→\tif rawFootprint, err = json.Marshal(energyFootprint); err != nil {\n   994→\t\tcclog.Warnf(\"Error while marshaling energy footprint for job INTO BYTES, DB ID '%v'\", jobMeta.ID)\n   995→\t\treturn stmt, err\n   996→\t}\n   997→\n   998→\treturn stmt.Set(\"energy_footprint\", string(rawFootprint)).Set(\"energy\", (math.Round(totalEnergy*100.0) / 100.0)), nil\n   999→}\n  1000→\n  1001→// UpdateFootprint calculates and updates the performance footprint for a job.\n  1002→// This is called for running jobs during intermediate updates or when archiving.\n  1003→//\n  1004→// A footprint is a summary statistic (avg/min/max) for each monitored metric.\n  1005→// The specific statistic type is defined in the cluster config's Footprint field.\n  1006→// Results are stored as JSON with keys like \"metric_avg\", \"metric_max\", etc.\n  1007→//"}]},"uuid":"e5673981-f132-4961-9abe-15b06319e973","timestamp":"2026-03-16T10:19:13.771Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"9674f47b-3957-4d03-ae8b-2b215b47588c","timestamp":"2026-03-16T10:19:14.016Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"9674f47b-3957-4d03-ae8b-2b215b47588c","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XmUUQ7FpkTEGodHtZ7uLAW","type":"tool_result","content":"   717→func (api *RestAPI) startJob(rw http.ResponseWriter, r *http.Request) {\n   718→\treq := schema.Job{\n   719→\t\tShared:           \"none\",\n   720→\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n   721→\t}\n   722→\tif err := decode(r.Body, &req); err != nil {\n   723→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n   724→\t\treturn\n   725→\t}\n   726→\n   727→\tcclog.Debugf(\"REST: %s\", req.GoString())\n   728→\treq.State = schema.JobStateRunning\n   729→\n   730→\tif err := importer.SanityChecks(&req); err != nil {\n   731→\t\thandleError(err, http.StatusBadRequest, rw)\n   732→\t\treturn\n   733→\t}\n   734→\n   735→\t// aquire lock to avoid race condition between API calls\n   736→\tvar unlockOnce sync.Once\n   737→\tapi.RepositoryMutex.Lock()\n   738→\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n   739→\n   740→\t// Check if combination of (job_id, cluster_id, start_time) already exists:\n   741→\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n   742→\tif err != nil && err != sql.ErrNoRows {\n   743→\t\thandleError(fmt.Errorf(\"checking for duplicate failed: %w\", err), http.StatusInternalServerError, rw)\n   744→\t\treturn\n   745→\t}\n   746→\tif err == nil {\n   747→\t\tfor _, job := range jobs {\n   748→\t\t\t// Check if jobs are within the same day (prevent duplicates)\n   749→\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n   750→\t\t\t\thandleError(fmt.Errorf(\"a job with that jobId, cluster and startTime already exists: dbid: %d, jobid: %d\", *job.ID, job.JobID), http.StatusUnprocessableEntity, rw)\n   751→\t\t\t\treturn\n   752→\t\t\t}\n   753→\t\t}\n   754→\t}\n   755→\n   756→\t// When tags are present, insert directly into the job table so that the\n   757→\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n   758→\t// Jobs without tags use the cache path as before.\n   759→\tvar id int64\n   760→\tif len(req.Tags) > 0 {\n   761→\t\tid, err = api.JobRepository.StartDirect(&req)\n   762→\t} else {\n   763→\t\tid, err = api.JobRepository.Start(&req)\n   764→\t}\n   765→\tif err != nil {\n   766→\t\thandleError(fmt.Errorf(\"insert into database failed: %w\", err), http.StatusInternalServerError, rw)\n   767→\t\treturn\n   768→\t}\n   769→\t// unlock here, adding Tags can be async\n   770→\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n   771→\n   772→\tfor _, tag := range req.Tags {\n   773→\t\tif _, err := api.JobRepository.AddTagOrCreate(repository.GetUserFromContext(r.Context()), id, tag.Type, tag.Name, tag.Scope); err != nil {\n   774→\t\t\thandleError(fmt.Errorf(\"adding tag to new job %d failed: %w\", id, err), http.StatusInternalServerError, rw)\n   775→\t\t\treturn\n   776→\t\t}\n   777→\t}\n   778→\n   779→\tcclog.Infof(\"new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\", id, req.Cluster, req.JobID, req.User, req.StartTime)\n   780→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   781→\trw.WriteHeader(http.StatusCreated)\n   782→\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{\n   783→\t\tMessage: \"success\",\n   784→\t}); err != nil {\n   785→\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n   786→\t}\n   787→}\n   788→\n   789→// stopJobByRequest godoc\n   790→// @summary     Marks job as completed and triggers archiving\n   791→// @tags Job add and modify\n   792→// @description Job to stop is specified by request body. All fields are required in this case.\n   793→// @description Returns full job resource information according to 'Job' scheme.\n   794→// @produce     json\n   795→// @param       request body     api.StopJobAPIRequest true \"All fields required\"\n   796→// @success     200     {object} schema.Job                 \"Success message\"\n   797→// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n   798→// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n   799→// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n   800→// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n   801→// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: job has already been stopped\"\n   802→// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n   803→// @security    ApiKeyAuth\n   804→// @router      /api/jobs/stop_job/ [post]\n   805→func (api *RestAPI) stopJobByRequest(rw http.ResponseWriter, r *http.Request) {\n   806→\t// Parse request body\n   807→\treq := StopJobAPIRequest{}\n   808→\tif err := decode(r.Body, &req); err != nil {\n   809→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n   810→\t\treturn\n   811→\t}\n   812→\n   813→\t// Fetch job (that will be stopped) from db\n   814→\tvar job *schema.Job\n   815→\tvar err error\n   816→\tif req.JobID == nil {"}]},"uuid":"a274be55-d640-456c-9e22-e782ce31fc30","timestamp":"2026-03-16T10:19:14.003Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"eedddb18-4742-4003-a973-e48465fa8814","timestamp":"2026-03-16T10:19:14.246Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"042c6cc4-6ff0-4a8f-b2e1-9aac1fae03a7","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KxgnFecKv137Seew4smC9q","type":"tool_result","content":"   805→func (api *RestAPI) stopJobByRequest(rw http.ResponseWriter, r *http.Request) {\n   806→\t// Parse request body\n   807→\treq := StopJobAPIRequest{}\n   808→\tif err := decode(r.Body, &req); err != nil {\n   809→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n   810→\t\treturn\n   811→\t}\n   812→\n   813→\t// Fetch job (that will be stopped) from db\n   814→\tvar job *schema.Job\n   815→\tvar err error\n   816→\tif req.JobID == nil {\n   817→\t\thandleError(errors.New(\"the field 'jobId' is required\"), http.StatusBadRequest, rw)\n   818→\t\treturn\n   819→\t}\n   820→\n   821→\tisCached := false\n   822→\tjob, err = api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n   823→\tif err != nil {\n   824→\t\t// Not in cache, try main job table\n   825→\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n   826→\t\tif err != nil {\n   827→\t\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n   828→\t\t\treturn\n   829→\t\t}\n   830→\t} else {\n   831→\t\tisCached = true\n   832→\t}\n   833→\n   834→\tapi.checkAndHandleStopJob(rw, job, req, isCached)\n   835→}\n   836→\n   837→// deleteJobByID godoc\n   838→// @summary     Remove a job from the sql database\n   839→// @tags Job remove\n   840→// @description Job to remove is specified by database ID. This will not remove the job from the job archive.\n   841→// @produce     json\n   842→// @param       id      path     int                   true \"Database ID of Job\"\n   843→// @success     200     {object} api.DefaultAPIResponse  \"Success message\"\n   844→// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n   845→// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n   846→// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n   847→// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n   848→// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n   849→// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n   850→// @security    ApiKeyAuth\n   851→// @router      /api/jobs/delete_job/{id} [delete]\n   852→func (api *RestAPI) deleteJobByID(rw http.ResponseWriter, r *http.Request) {\n   853→\t// Fetch job (that will be stopped) from db\n   854→\tid := chi.URLParam(r, \"id\")"}]},"uuid":"1004fea2-e9da-4776-b7a7-1d7d31a5018a","timestamp":"2026-03-16T10:19:14.465Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"23bed1a2-0a41-41a5-9e93-b9fa409a1897","timestamp":"2026-03-16T10:19:14.559Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"23bed1a2-0a41-41a5-9e93-b9fa409a1897","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:14.606Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01BB18wmZ2KzJpBXtTRnEhmB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01YPm1XWAYm7q64GnUsS7kUE","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go","limit":100},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":555,"cache_read_input_tokens":62950,"cache_creation":{"ephemeral_5m_input_tokens":555,"ephemeral_1h_input_tokens":0},"output_tokens":18,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b8aA1sSE1o1UFr8AUY","uuid":"f58dec96-e4dd-4426-9035-537ce3c08a7d"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"9ecf8df0-848c-4c86-b10d-95aa4960df11","timestamp":"2026-03-16T10:19:14.606Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"9ecf8df0-848c-4c86-b10d-95aa4960df11","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YPm1XWAYm7q64GnUsS7kUE","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"fmt\"\n    10→\t\"maps\"\n    11→\t\"net/http\"\n    12→\t\"strings\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→)\n    22→\n    23→type UpdateNodeStatesRequest struct {\n    24→\tNodes   []schema.NodePayload `json:\"nodes\"`\n    25→\tCluster string               `json:\"cluster\" example:\"fritz\"`\n    26→}\n    27→\n    28→// metricListToNames converts a map of metric configurations to a list of metric names\n    29→func metricListToNames(metricList map[string]*schema.Metric) []string {\n    30→\tnames := make([]string, 0, len(metricList))\n    31→\tfor name := range metricList {\n    32→\t\tnames = append(names, name)\n    33→\t}\n    34→\treturn names\n    35→}\n    36→\n    37→// this routine assumes that only one of them exists per node\n    38→func determineState(states []string) schema.SchedulerState {\n    39→\tfor _, state := range states {\n    40→\t\tswitch strings.ToLower(state) {\n    41→\t\tcase \"allocated\":\n    42→\t\t\treturn schema.NodeStateAllocated\n    43→\t\tcase \"reserved\":\n    44→\t\t\treturn schema.NodeStateReserved\n    45→\t\tcase \"idle\":\n    46→\t\t\treturn schema.NodeStateIdle\n    47→\t\tcase \"down\":\n    48→\t\t\treturn schema.NodeStateDown\n    49→\t\tcase \"mixed\":\n    50→\t\t\treturn schema.NodeStateMixed\n    51→\t\t}\n    52→\t}\n    53→\n    54→\treturn schema.NodeStateUnknown\n    55→}\n    56→\n    57→// updateNodeStates godoc\n    58→// @summary     Deliver updated Slurm node states\n    59→// @tags Nodestates\n    60→// @description Returns a JSON-encoded list of users.\n    61→// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n    62→// @produce     json\n    63→// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n    64→// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n    65→// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n    66→// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n    67→// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n    68→// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n    69→// @security    ApiKeyAuth\n    70→// @router      /api/nodestats/ [post]\n    71→func (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n    72→\t// Parse request body\n    73→\treq := UpdateNodeStatesRequest{}\n    74→\tif err := decode(r.Body, &req); err != nil {\n    75→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n    76→\t\t\thttp.StatusBadRequest, rw)\n    77→\t\treturn\n    78→\t}\n    79→\trequestReceived := time.Now().Unix()\n    80→\trepo := repository.GetNodeRepository()\n    81→\n    82→\tm := make(map[string][]string)\n    83→\tmetricNames := make(map[string][]string)\n    84→\thealthResults := make(map[string]metricstore.HealthCheckResult)\n    85→\n    86→\tstartMs := time.Now()\n    87→\n    88→\t// Step 1: Build nodeList and metricList per subcluster\n    89→\tfor _, node := range req.Nodes {\n    90→\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n    91→\t\t\tm[sc] = append(m[sc], node.Hostname)\n    92→\t\t}\n    93→\t}\n    94→\n    95→\tfor sc := range m {\n    96→\t\tif sc != \"\" {\n    97→\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n    98→\t\t\tmetricNames[sc] = metricListToNames(metricList)\n    99→\t\t}\n   100→\t}"}]},"uuid":"085bc42c-e966-4db3-a9ee-dd5f0a17f0b2","timestamp":"2026-03-16T10:19:14.612Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"1bca4a0e-a37e-45cd-b75c-7472d13fb965","timestamp":"2026-03-16T10:19:14.616Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"1bca4a0e-a37e-45cd-b75c-7472d13fb965","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:15.708Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01CXmzugVGwb8E2Zu2pgwpTF","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FP9cGEWnLxaPiP3u4xSNdP","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":2094,"cache_read_input_tokens":68339,"cache_creation":{"ephemeral_5m_input_tokens":2094,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b8hKsn3iYxBBtGYFJX","uuid":"b0ab6579-85df-4bb4-97a3-7052f0e1cb3d"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"7821a38c-2891-4b0b-a7bb-20af92e3eacd","timestamp":"2026-03-16T10:19:15.709Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"7821a38c-2891-4b0b-a7bb-20af92e3eacd","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FP9cGEWnLxaPiP3u4xSNdP","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"database/sql\"\n    10→\t\"encoding/json\"\n    11→\t\"strings\"\n    12→\t\"sync\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n    21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n    23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    24→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n    25→)\n    26→\n    27→// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n    28→// It mirrors the functionality of the REST API but uses NATS messaging with\n    29→// InfluxDB line protocol as the message format.\n    30→//\n    31→// # Message Format\n    32→//\n    33→// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n    34→// with the following structure:\n    35→//\n    36→//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n    37→//\n    38→// # Job Events\n    39→//\n    40→// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n    41→//\n    42→//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n    43→//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n    44→//\n    45→// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n    46→//\n    47→// Example job start message:\n    48→//\n    49→//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n    50→//\n    51→// # Node State Events\n    52→//\n    53→// Node state updates use the \"nodestate\" measurement with cluster information:\n    54→//\n    55→//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n    56→//\n    57→// The JSON payload follows the UpdateNodeStatesRequest structure.\n    58→//\n    59→// Example node state message:\n    60→//\n    61→//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\n    62→type NatsAPI struct {\n    63→\tJobRepository *repository.JobRepository\n    64→\t// RepositoryMutex protects job creation operations from race conditions\n    65→\t// when checking for duplicate jobs during startJob calls.\n    66→\tRepositoryMutex sync.Mutex\n    67→\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n    68→\t// when the database is under contention.\n    69→\tjobSem chan struct{}\n    70→\t// nodeSem limits concurrent NATS node state processing.\n    71→\tnodeSem chan struct{}\n    72→}\n    73→\n    74→// NewNatsAPI creates a new NatsAPI instance with default dependencies.\n    75→func NewNatsAPI() *NatsAPI {\n    76→\treturn &NatsAPI{\n    77→\t\tJobRepository: repository.GetJobRepository(),\n    78→\t\tjobSem:        make(chan struct{}, 8),\n    79→\t\tnodeSem:       make(chan struct{}, 2),\n    80→\t}\n    81→}\n    82→\n    83→// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n    84→// Returns an error if the NATS client is not available or subscription fails.\n    85→func (api *NatsAPI) StartSubscriptions() error {\n    86→\tclient := nats.GetClient()\n    87→\tif client == nil {\n    88→\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n    89→\t\treturn nil\n    90→\t}\n    91→\n    92→\tif config.Keys.APISubjects != nil {\n    93→\n    94→\t\ts := config.Keys.APISubjects\n    95→\n    96→\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n    97→\t\t\treturn err\n    98→\t\t}\n    99→\n   100→\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n   101→\t\t\treturn err\n   102→\t\t}\n   103→\n   104→\t\tcclog.Info(\"NATS API subscriptions started\")\n   105→\t}\n   106→\treturn nil\n   107→}\n   108→\n   109→// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n   110→// Validates that required tags and fields are present before processing.\n   111→func (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n   112→\tfunction, ok := msg.GetTag(\"function\")\n   113→\tif !ok {\n   114→\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n   115→\t\treturn\n   116→\t}\n   117→\n   118→\tswitch function {\n   119→\tcase \"start_job\":\n   120→\t\tv, ok := msg.GetEventValue()\n   121→\t\tif !ok {\n   122→\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n   123→\t\t\treturn\n   124→\t\t}\n   125→\t\tapi.handleStartJob(v)\n   126→\n   127→\tcase \"stop_job\":\n   128→\t\tv, ok := msg.GetEventValue()\n   129→\t\tif !ok {\n   130→\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n   131→\t\t\treturn\n   132→\t\t}\n   133→\t\tapi.handleStopJob(v)\n   134→\n   135→\tdefault:\n   136→\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n   137→\t}\n   138→}\n   139→\n   140→// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n   141→// The message must be in line protocol format with measurement=\"job\" and include:\n   142→//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n   143→//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n   144→//\n   145→// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\n   146→func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n   147→\tapi.jobSem <- struct{}{}\n   148→\tdefer func() { <-api.jobSem }()\n   149→\n   150→\tif len(data) == 0 {"}]},"uuid":"86fde437-b528-499c-a1d7-5fa79121d4a3","timestamp":"2026-03-16T10:19:15.717Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"10db13cc-82fa-4994-9a75-e267b3ebaf1a","timestamp":"2026-03-16T10:19:15.867Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"8cd10b6f-eaf8-4eb3-ad75-c9533683b391","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CGZx3Tcha15fXatnAhrEZW","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"database/sql\"\n    10→\t\"encoding/json\"\n    11→\t\"strings\"\n    12→\t\"sync\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n    21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n    23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    24→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n    25→)\n    26→\n    27→// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n    28→// It mirrors the functionality of the REST API but uses NATS messaging with\n    29→// InfluxDB line protocol as the message format.\n    30→//\n    31→// # Message Format\n    32→//\n    33→// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n    34→// with the following structure:\n    35→//\n    36→//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n    37→//\n    38→// # Job Events\n    39→//\n    40→// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n    41→//\n    42→//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n    43→//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n    44→//\n    45→// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n    46→//\n    47→// Example job start message:\n    48→//\n    49→//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n    50→//\n    51→// # Node State Events\n    52→//\n    53→// Node state updates use the \"nodestate\" measurement with cluster information:\n    54→//\n    55→//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n    56→//\n    57→// The JSON payload follows the UpdateNodeStatesRequest structure.\n    58→//\n    59→// Example node state message:\n    60→//\n    61→//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\n    62→type NatsAPI struct {\n    63→\tJobRepository *repository.JobRepository\n    64→\t// RepositoryMutex protects job creation operations from race conditions\n    65→\t// when checking for duplicate jobs during startJob calls.\n    66→\tRepositoryMutex sync.Mutex\n    67→\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n    68→\t// when the database is under contention.\n    69→\tjobSem chan struct{}\n    70→\t// nodeSem limits concurrent NATS node state processing.\n    71→\tnodeSem chan struct{}\n    72→}\n    73→\n    74→// NewNatsAPI creates a new NatsAPI instance with default dependencies.\n    75→func NewNatsAPI() *NatsAPI {\n    76→\treturn &NatsAPI{\n    77→\t\tJobRepository: repository.GetJobRepository(),\n    78→\t\tjobSem:        make(chan struct{}, 8),\n    79→\t\tnodeSem:       make(chan struct{}, 2),\n    80→\t}\n    81→}\n    82→\n    83→// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n    84→// Returns an error if the NATS client is not available or subscription fails.\n    85→func (api *NatsAPI) StartSubscriptions() error {\n    86→\tclient := nats.GetClient()\n    87→\tif client == nil {\n    88→\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n    89→\t\treturn nil\n    90→\t}\n    91→\n    92→\tif config.Keys.APISubjects != nil {\n    93→\n    94→\t\ts := config.Keys.APISubjects\n    95→\n    96→\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n    97→\t\t\treturn err\n    98→\t\t}\n    99→\n   100→\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n   101→\t\t\treturn err\n   102→\t\t}\n   103→\n   104→\t\tcclog.Info(\"NATS API subscriptions started\")\n   105→\t}\n   106→\treturn nil\n   107→}\n   108→\n   109→// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n   110→// Validates that required tags and fields are present before processing.\n   111→func (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n   112→\tfunction, ok := msg.GetTag(\"function\")\n   113→\tif !ok {\n   114→\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n   115→\t\treturn\n   116→\t}\n   117→\n   118→\tswitch function {\n   119→\tcase \"start_job\":\n   120→\t\tv, ok := msg.GetEventValue()\n   121→\t\tif !ok {\n   122→\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n   123→\t\t\treturn\n   124→\t\t}\n   125→\t\tapi.handleStartJob(v)\n   126→\n   127→\tcase \"stop_job\":\n   128→\t\tv, ok := msg.GetEventValue()\n   129→\t\tif !ok {\n   130→\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n   131→\t\t\treturn\n   132→\t\t}\n   133→\t\tapi.handleStopJob(v)\n   134→\n   135→\tdefault:\n   136→\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n   137→\t}\n   138→}\n   139→\n   140→// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n   141→// The message must be in line protocol format with measurement=\"job\" and include:\n   142→//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n   143→//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n   144→//\n   145→// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\n   146→func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n   147→\tapi.jobSem <- struct{}{}\n   148→\tdefer func() { <-api.jobSem }()\n   149→\n   150→\tif len(data) == 0 {"}]},"uuid":"187897f4-6a9a-44cb-ad1f-d7a698c576a8","timestamp":"2026-03-16T10:19:16.416Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"678f1bdf-2c96-4b0e-90c6-e66435e0bb0a","timestamp":"2026-03-16T10:19:16.419Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"d8731946-abff-4cfa-a1e9-76475a1b2d16","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016H5RJKfCjDuuicn8ZMGcPE","type":"tool_result","content":"   165→// AddTagsToJob is the resolver for the addTagsToJob field.\n   166→func (r *mutationResolver) AddTagsToJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n   167→\tuser := repository.GetUserFromContext(ctx)\n   168→\tif user == nil {\n   169→\t\treturn nil, fmt.Errorf(\"no user in context\")\n   170→\t}\n   171→\n   172→\tjid, err := strconv.ParseInt(job, 10, 64)\n   173→\tif err != nil {\n   174→\t\tcclog.Warn(\"Error while adding tag to job\")\n   175→\t\treturn nil, err\n   176→\t}\n   177→\n   178→\ttags := []*schema.Tag{}\n   179→\tfor _, tagID := range tagIds {\n   180→\t\t// Get ID\n   181→\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n   182→\t\tif err != nil {\n   183→\t\t\tcclog.Warn(\"Error while parsing tag id\")\n   184→\t\t\treturn nil, err\n   185→\t\t}\n   186→\n   187→\t\t// Test Exists\n   188→\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n   189→\t\tif !exists {\n   190→\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n   191→\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n   192→\t\t}\n   193→\n   194→\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n   195→\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n   196→\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n   197→\t\t\tuser.Username == tscope {\n   198→\t\t\t// Add to Job\n   199→\t\t\tif tags, err = r.Repo.AddTag(user, jid, tid); err != nil {\n   200→\t\t\t\tcclog.Warn(\"Error while adding tag\")\n   201→\t\t\t\treturn nil, err\n   202→\t\t\t}\n   203→\t\t} else {\n   204→\t\t\tcclog.Warnf(\"Not authorized to add tag: %d\", tid)\n   205→\t\t\treturn nil, fmt.Errorf(\"not authorized to add tag: %d\", tid)\n   206→\t\t}\n   207→\t}\n   208→\n   209→\treturn tags, nil\n   210→}\n   211→\n   212→// RemoveTagsFromJob is the resolver for the removeTagsFromJob field.\n   213→func (r *mutationResolver) RemoveTagsFromJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n   214→\tuser := repository.GetUserFromContext(ctx)\n   215→\tif user == nil {\n   216→\t\treturn nil, fmt.Errorf(\"no user in context\")\n   217→\t}\n   218→\n   219→\tjid, err := strconv.ParseInt(job, 10, 64)\n   220→\tif err != nil {\n   221→\t\tcclog.Warn(\"Error while parsing job id\")\n   222→\t\treturn nil, err\n   223→\t}\n   224→\n   225→\ttags := []*schema.Tag{}\n   226→\tfor _, tagID := range tagIds {\n   227→\t\t// Get ID\n   228→\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n   229→\t\tif err != nil {\n   230→\t\t\tcclog.Warn(\"Error while parsing tag id\")\n   231→\t\t\treturn nil, err\n   232→\t\t}\n   233→\n   234→\t\t// Test Exists\n   235→\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n   236→\t\tif !exists {\n   237→\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n   238→\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n   239→\t\t}\n   240→\n   241→\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n   242→\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n   243→\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n   244→\t\t\tuser.Username == tscope {\n   245→\t\t\t// Remove from Job\n   246→\t\t\tif tags, err = r.Repo.RemoveTag(user, jid, tid); err != nil {\n   247→\t\t\t\tcclog.Warn(\"Error while removing tag\")\n   248→\t\t\t\treturn nil, err\n   249→\t\t\t}\n   250→\t\t} else {\n   251→\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n   252→\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n   253→\t\t}\n   254→\n   255→\t}\n   256→\n   257→\treturn tags, nil\n   258→}\n   259→\n   260→// RemoveTagFromList is the resolver for the removeTagFromList field.\n   261→func (r *mutationResolver) RemoveTagFromList(ctx context.Context, tagIds []string) ([]int, error) {\n   262→\t// Needs Contextuser\n   263→\tuser := repository.GetUserFromContext(ctx)\n   264→\tif user == nil {\n   265→\t\treturn nil, fmt.Errorf(\"no user in context\")\n   266→\t}\n   267→\n   268→\ttags := []int{}\n   269→\tfor _, tagID := range tagIds {\n   270→\t\t// Get ID\n   271→\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n   272→\t\tif err != nil {\n   273→\t\t\tcclog.Warn(\"Error while parsing tag id for removal\")\n   274→\t\t\treturn nil, err\n   275→\t\t}\n   276→\n   277→\t\t// Test Exists\n   278→\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n   279→\t\tif !exists {\n   280→\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n   281→\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n   282→\t\t}\n   283→\n   284→\t\t// Test Access: Admins && Admin Tag OR Everyone && Private Tag\n   285→\t\tif user.HasRole(schema.RoleAdmin) && (tscope == \"global\" || tscope == \"admin\") || user.Username == tscope {\n   286→\t\t\t// Remove from DB\n   287→\t\t\tif err = r.Repo.RemoveTagByID(tid); err != nil {\n   288→\t\t\t\tcclog.Warn(\"Error while removing tag\")\n   289→\t\t\t\treturn nil, err\n   290→\t\t\t} else {\n   291→\t\t\t\ttags = append(tags, int(tid))\n   292→\t\t\t}\n   293→\t\t} else {\n   294→\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n   295→\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n   296→\t\t}\n   297→\t}\n   298→\treturn tags, nil\n   299→}\n   300→\n   301→// UpdateConfiguration is the resolver for the updateConfiguration field.\n   302→func (r *mutationResolver) UpdateConfiguration(ctx context.Context, name string, value string) (*string, error) {\n   303→\tif err := repository.GetUserCfgRepo().UpdateConfig(name, value, repository.GetUserFromContext(ctx)); err != nil {\n   304→\t\tcclog.Warn(\"Error while updating user config\")\n   305→\t\treturn nil, err\n   306→\t}\n   307→\n   308→\treturn nil, nil\n   309→}\n   310→\n   311→// ID is the resolver for the id field.\n   312→func (r *nodeResolver) ID(ctx context.Context, obj *schema.Node) (string, error) {\n   313→\tpanic(fmt.Errorf(\"not implemented: ID - id\"))\n   314→}"}]},"uuid":"5250fa07-2887-48b4-940d-7cb00ada80f1","timestamp":"2026-03-16T10:19:20.202Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"3130ba5c-0b2b-40fe-b363-9c01afe8b031","timestamp":"2026-03-16T10:19:20.240Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"be9edc37-8b94-42c3-a207-56a1de047ced","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","type":"tool_result","content":[{"type":"text","text":"Perfect. Now I have enough information to provide a comprehensive analysis. Let me compile my findings:\n\n## DB Write Patterns Analysis - ClusterCockpit cc-backend\n\nBased on my thorough exploration of the codebase, I've identified several DB write patterns and opportunities for transaction-based optimization. Here's my detailed analysis:\n\n---\n\n## 1. TAG OPERATIONS - HIGH TRANSACTION OPPORTUNITY\n\n### Pattern: AddTagOrCreate (Internal/repository/tags.go:424)\nWhen adding tags to a job with multiple tags, each tag operation is **separate and non-transactional**:\n\n```\nstartJob() → for each tag {\n  → TagID lookup (SELECT)\n  → CreateTag (INSERT) if missing\n  → AddTag (INSERT into jobtag)\n  → GetTags (SELECT)\n  → archive.UpdateTags() (file write)\n}\n```\n\n**Current Issues:**\n- **Line 760-777** in `/internal/api/job.go`: When startJob is called with `req.Tags`, each tag is added individually via `AddTagOrCreate()` inside a loop\n- **Line 570-583** in `/internal/api/job.go`: tagJob endpoint adds multiple tags one-by-one with individual archive updates\n- **Lines 165-210** in `/internal/graph/schema.resolvers.go`: GraphQL AddTagsToJob loops through tag IDs, calling `AddTag()` for each without batching\n\n**Batch Potential:** ⭐⭐⭐⭐⭐ **HIGHEST**\n- A job with 5 tags = 5 separate transactions (INSERT + SELECT + archive write)\n- Could be batched into single transaction: 1 INSERT many jobtag + 1 archive write\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go`\n\n**addJobTag() helper (line 398):** Performs 3 operations per tag:\n1. INSERT into jobtag\n2. SELECT tags\n3. archive.UpdateTags() (file I/O)\n\n**AddTagOrCreate() (line 424):** Chains multiple operations:\n1. TagID lookup\n2. CreateTag if missing (conditional INSERT)\n3. AddTag (calls addJobTag, which does 3 more ops)\n\n---\n\n## 2. JOB ARCHIVING WRITES - MODERATE TRANSACTION OPPORTUNITY\n\n### Pattern: Archiving Workflow (archiveWorker in /internal/archiver/archiveWorker.go)\n\nWhen a job is archived, **3-4 separate UPDATE statements** execute sequentially:\n\n```\narchivingWorker() → for job in archiveChannel {\n  → FetchMetadata (SELECT)\n  → ArchiveJob() (file writes + calculations)\n  → UpdateFootprint (UPDATE)\n  → UpdateEnergy (UPDATE)  \n  → MarkArchived (UPDATE)\n  → Execute(stmt) (single UPDATE with 3 SET clauses)\n  → CallJobStopHooks()\n}\n```\n\n**Current Issues:**\n- **Lines 145-159** in `/internal/archiver/archiveWorker.go`: Three separate `.Set()` calls chained together but executed as ONE statement via `jobRepo.Execute(stmt)`\n- Actually **GOOD**: The code chains multiple SET operations into a single UPDATE via Squirrel builder pattern\n- However, the statement is still a single UPDATE - could be a transaction for safety\n\n**Transaction Benefit:** ⭐⭐⭐ **MODERATE**\n- Currently chains SETs into one UPDATE (good)\n- Could add transaction wrapper for atomicity guarantee\n- Already uses statement builder pattern to combine updates\n\n### Key Files:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go:145-163`\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:908-999` (UpdateEnergy, UpdateFootprint, MarkArchived, Execute)\n\n---\n\n## 3. JOB IMPORT/RESTORE - HIGH TRANSACTION OPPORTUNITY\n\n### Pattern: HandleImportFlag (internal/importer/handleImport.go:38)\n\nImports job metadata + tags without batching:\n\n```\nHandleImportFlag(flag) → for each job in flag {\n  → Read JSON files\n  → archive.ImportJob() (file write)\n  → InsertJobDirect (INSERT)\n  → for each tag in job.Tags {\n    → ImportTag() (SELECT + INSERT per tag)\n  }\n}\n```\n\n**Current Issues:**\n- **Lines 105-116** in `/internal/importer/handleImport.go`: \n  - 1 job INSERT per job\n  - N tag operations (SELECT + INSERT) per job\n  - No transaction wrapping job + all its tags\n  \n**Batch Potential:** ⭐⭐⭐⭐⭐ **HIGHEST**\n- If importing 100 jobs with 3 tags each = 100 INSERTs + 300 tag lookups/inserts\n- Could batch into transaction: INSERT 100 jobs + 300 tag associations in single txn\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go:111-116`\n\n---\n\n## 4. JOB CACHE TO MAIN TABLE TRANSFER - IDENTIFIED ISSUE\n\n### Pattern: TransferCachedJobToMain (internal/repository/jobCreate.go:143)\n\n**EXACT ISSUE YOU MENTIONED:**\n\n```go\n// TransferCachedJobToMain - Lines 143-162\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n    res, err := r.DB.Exec(\n        \"INSERT INTO job ... SELECT ... FROM job_cache WHERE id = ?\", cacheID)\n    if err != nil { return 0, ... }\n    \n    newID, err := res.LastInsertId()\n    if err != nil { return 0, ... }\n    \n    _, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)  // SEPARATE OPERATION\n    if err != nil { return 0, ... }\n    \n    return newID, nil\n}\n```\n\n**Issue:** ⚠️ **TWO SEPARATE EXEC CALLS**\n- Line 144-146: INSERT\n- Line 156: DELETE\n- No transaction wrapping both operations\n- **Risk:** If DELETE fails, job orphaned in main table and cache\n\n**Transaction Fix:** Wrap both operations in `tx.Beginx()` / `tx.Commit()`\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go:143-162`\n\n---\n\n## 5. JOB STOP WORKFLOW - MILD CONSOLIDATION OPPORTUNITY\n\n### Pattern: stopJobByRequest (internal/api/job.go:805)\n\nCalls `checkAndHandleStopJob()` which likely:\n1. Updates job state (Stop)\n2. Transfers from cache to main table (INSERT + DELETE as shown above)\n3. Triggers archiving\n\n**Issue:** Multiple separate repository calls that could be transactional\n\n### Key Files:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go:805-835`\n- The actual logic is in `checkAndHandleStopJob()` - would need to read that\n\n---\n\n## 6. TAG REMOVAL - DISTRIBUTED WRITES\n\n### Pattern: RemoveTagByID (internal/repository/tags.go:216)\n\n```go\n// RemoveTagByID - Lines 216-244\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n    jobIds, err := r.FindJobIdsByTag(tagID)  // SELECT all job IDs\n    \n    qJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n    if _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil { ... }\n    \n    qTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n    if _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil { ... }\n    \n    go r.removeTagFromArchiveJobs(jobIds)  // ASYNC goroutine\n    \n    return nil\n}\n```\n\n**Issues:**\n- **2 separate DELETE statements** (jobtag, then tag)\n- Could be 1 transaction\n- Archive updates run **asynchronously in goroutine** (line 241)\n- **Lines 183-199** show async archive updates without error handling\n\n**Transaction Opportunity:** ⭐⭐⭐ **MODERATE**\n- Can wrap 2 DELETEs in single transaction\n\n### Key Files:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go:216-244`\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go:183-199`\n\n---\n\n## 7. GRAPHQL TAG MUTATIONS - LOOP-BASED WRITES\n\n### Pattern: AddTagsToJob, RemoveTagsFromJob (internal/graph/schema.resolvers.go:166, 213)\n\n**Lines 179-207** and **Lines 226-255**:\n```go\nfor _, tagID := range tagIds {\n    // Lookup tag\n    _, _, tscope, exists := r.Repo.TagInfo(tid)\n    // Authorization check\n    // Add/Remove\n    if tags, err = r.Repo.AddTag(...); err != nil { ... }\n}\n```\n\n**Issue:**\n- **Loop per tag** with individual `AddTag()` or `RemoveTag()` calls\n- 5 tags = 5 separate database transactions with archive updates\n- Could batch into single transaction\n\n**Batch Potential:** ⭐⭐⭐⭐ **HIGH**\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go:165-210, 212-258`\n\n---\n\n## 8. NATS API - SEMAPHORE-PROTECTED WRITES\n\n### Pattern: NATS Job/Node event handlers (internal/api/nats.go)\n\nUses semaphores to limit concurrency:\n```go\ntype NatsAPI struct {\n    jobSem chan struct{} // capacity 8\n    nodeSem chan struct{} // capacity 2\n}\n\nfunc (api *NatsAPI) handleJobEvent(...) {\n    api.jobSem <- struct{}{}      // acquire semaphore\n    defer func() { <-api.jobSem }() // release\n    // ... process job (same write patterns as REST)\n}\n```\n\n**No Issues:** Semaphores are for concurrency control, not transactional. Underlying writes are same as REST API (non-transactional tag adds).\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:62-80, 147-148`\n\n---\n\n## 9. STATISTICS/ENERGY FOOTPRINT UPDATES - AGGREGATION-ONLY\n\n### Pattern: Stats queries (internal/repository/stats.go)\n\nAll **READ-ONLY** SELECT with aggregations. No write batching opportunities.\n\nKey observation: Post-archiving stats updates are computed by `UpdateFootprint()` and `UpdateEnergy()` which are already in a single UPDATE statement (item #2).\n\n---\n\n## TRANSACTION SUPPORT STATUS\n\n**Good news:** The codebase **already has transaction support**:\n\n### Available Transaction API (internal/repository/transaction.go):\n```go\ntype Transaction struct { tx *sqlx.Tx }\n\nfunc (r *JobRepository) TransactionInit() (*Transaction, error)\nfunc (t *Transaction) Commit() error\nfunc (t *Transaction) Rollback() error\nfunc (r *JobRepository) TransactionAddNamed(t *Transaction, query string, args ...any) (int64, error)\nfunc (r *JobRepository) TransactionAdd(t *Transaction, query string, args ...any) (int64, error)\n```\n\n**Currently used in:** `/internal/repository/jobCreate.go:96-120` (SyncJobs function uses `tx.Beginx()`)\n\n**Not used in:** Tag operations, individual archiving, import loops\n\n---\n\n## SUMMARY TABLE\n\n| Pattern | Location | Issue | Batch Potential | Transaction Support | Priority |\n|---------|----------|-------|-----------------|---------------------|----------|\n| AddTagOrCreate in loop | api/job.go:760-777, api/job.go:570-583 | 1 txn per tag | ⭐⭐⭐⭐⭐ | Exists | HIGH |\n| ImportTag per tag | importer/handleImport.go:111-116 | 1 txn per tag | ⭐⭐⭐⭐⭐ | Exists | HIGH |\n| TransferCachedJobToMain | repository/jobCreate.go:143-162 | INSERT + DELETE separate | ⭐⭐⭐⭐ | Exists | **CRITICAL** |\n| RemoveTagByID | repository/tags.go:216-244 | 2 separate DELETEs | ⭐⭐⭐ | Exists | MEDIUM |\n| GraphQL AddTagsToJob | graph/schema.resolvers.go:179-207 | 1 txn per tag | ⭐⭐⭐⭐ | Exists | HIGH |\n| Archiving updates | archiver/archiveWorker.go:145-163 | 3 SETs chained (OK) | ⭐⭐ | Already good | LOW |\n| Job stats queries | repository/stats.go | Read-only aggregations | N/A | N/A | N/A |\n\n---\n\n## RECOMMENDATIONS\n\n1. **CRITICAL**: Fix `TransferCachedJobToMain()` - wrap INSERT + DELETE in transaction\n2. **HIGH**: Batch tag operations in `tagJob()` and `AddTagsToJob()` - add `BatchAddTags()` method\n3. **HIGH**: Batch import tag operations - wrap job insert + all tags in single transaction\n4. **MEDIUM**: Consolidate `RemoveTagByID()` - use single transaction for both DELETEs\n5. **MEDIUM**: Add async tag removal with error handling - current goroutine silently fails\n\n---\n\nThese patterns show that while transaction support exists, it's **underutilized** in high-frequency write paths, particularly around tag management where multiple individual operations could be safely batched."},{"type":"text","text":"agentId: ae6e94e07c8dc030e (for resuming to continue this agent's work if needed)\n<usage>total_tokens: 81850\ntool_uses: 29\nduration_ms: 64839</usage>"}]}]},"uuid":"e4783a98-7be1-497b-bb9d-b9abe1032483","timestamp":"2026-03-16T10:19:56.245Z","toolUseResult":{"status":"completed","prompt":"Explore the cc-backend codebase for DB write patterns specifically around:\n\n1. **Tag operations** - AddTagOrCreate, adding tags to jobs. These are often called in loops (e.g., when starting a job with multiple tags). Check internal/repository/tags.go or similar files.\n\n2. **Job archiving writes** - What happens when a job is archived? Does it update the job table? Check internal/archiver/ for the archiving flow and what DB writes it does.\n\n3. **Job import/restore** - Check internal/importer/ for bulk import operations.\n\n4. **Energy footprint / statistics updates** - Any post-processing that updates job rows after archiving.\n\n5. **TransferCachedJobToMain** in internal/repository/jobCreate.go - this does INSERT + DELETE as separate operations. Could these be in a transaction?\n\nFor each pattern, identify if multiple individual writes could be combined into transactions or batch operations.\n\nAlso check internal/api/rest.go for the REST endpoint handlers (startJob, stopJob, etc.) to see their DB write patterns.","agentId":"ae6e94e07c8dc030e","content":[{"type":"text","text":"Perfect. Now I have enough information to provide a comprehensive analysis. Let me compile my findings:\n\n## DB Write Patterns Analysis - ClusterCockpit cc-backend\n\nBased on my thorough exploration of the codebase, I've identified several DB write patterns and opportunities for transaction-based optimization. Here's my detailed analysis:\n\n---\n\n## 1. TAG OPERATIONS - HIGH TRANSACTION OPPORTUNITY\n\n### Pattern: AddTagOrCreate (Internal/repository/tags.go:424)\nWhen adding tags to a job with multiple tags, each tag operation is **separate and non-transactional**:\n\n```\nstartJob() → for each tag {\n  → TagID lookup (SELECT)\n  → CreateTag (INSERT) if missing\n  → AddTag (INSERT into jobtag)\n  → GetTags (SELECT)\n  → archive.UpdateTags() (file write)\n}\n```\n\n**Current Issues:**\n- **Line 760-777** in `/internal/api/job.go`: When startJob is called with `req.Tags`, each tag is added individually via `AddTagOrCreate()` inside a loop\n- **Line 570-583** in `/internal/api/job.go`: tagJob endpoint adds multiple tags one-by-one with individual archive updates\n- **Lines 165-210** in `/internal/graph/schema.resolvers.go`: GraphQL AddTagsToJob loops through tag IDs, calling `AddTag()` for each without batching\n\n**Batch Potential:** ⭐⭐⭐⭐⭐ **HIGHEST**\n- A job with 5 tags = 5 separate transactions (INSERT + SELECT + archive write)\n- Could be batched into single transaction: 1 INSERT many jobtag + 1 archive write\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go`\n\n**addJobTag() helper (line 398):** Performs 3 operations per tag:\n1. INSERT into jobtag\n2. SELECT tags\n3. archive.UpdateTags() (file I/O)\n\n**AddTagOrCreate() (line 424):** Chains multiple operations:\n1. TagID lookup\n2. CreateTag if missing (conditional INSERT)\n3. AddTag (calls addJobTag, which does 3 more ops)\n\n---\n\n## 2. JOB ARCHIVING WRITES - MODERATE TRANSACTION OPPORTUNITY\n\n### Pattern: Archiving Workflow (archiveWorker in /internal/archiver/archiveWorker.go)\n\nWhen a job is archived, **3-4 separate UPDATE statements** execute sequentially:\n\n```\narchivingWorker() → for job in archiveChannel {\n  → FetchMetadata (SELECT)\n  → ArchiveJob() (file writes + calculations)\n  → UpdateFootprint (UPDATE)\n  → UpdateEnergy (UPDATE)  \n  → MarkArchived (UPDATE)\n  → Execute(stmt) (single UPDATE with 3 SET clauses)\n  → CallJobStopHooks()\n}\n```\n\n**Current Issues:**\n- **Lines 145-159** in `/internal/archiver/archiveWorker.go`: Three separate `.Set()` calls chained together but executed as ONE statement via `jobRepo.Execute(stmt)`\n- Actually **GOOD**: The code chains multiple SET operations into a single UPDATE via Squirrel builder pattern\n- However, the statement is still a single UPDATE - could be a transaction for safety\n\n**Transaction Benefit:** ⭐⭐⭐ **MODERATE**\n- Currently chains SETs into one UPDATE (good)\n- Could add transaction wrapper for atomicity guarantee\n- Already uses statement builder pattern to combine updates\n\n### Key Files:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go:145-163`\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:908-999` (UpdateEnergy, UpdateFootprint, MarkArchived, Execute)\n\n---\n\n## 3. JOB IMPORT/RESTORE - HIGH TRANSACTION OPPORTUNITY\n\n### Pattern: HandleImportFlag (internal/importer/handleImport.go:38)\n\nImports job metadata + tags without batching:\n\n```\nHandleImportFlag(flag) → for each job in flag {\n  → Read JSON files\n  → archive.ImportJob() (file write)\n  → InsertJobDirect (INSERT)\n  → for each tag in job.Tags {\n    → ImportTag() (SELECT + INSERT per tag)\n  }\n}\n```\n\n**Current Issues:**\n- **Lines 105-116** in `/internal/importer/handleImport.go`: \n  - 1 job INSERT per job\n  - N tag operations (SELECT + INSERT) per job\n  - No transaction wrapping job + all its tags\n  \n**Batch Potential:** ⭐⭐⭐⭐⭐ **HIGHEST**\n- If importing 100 jobs with 3 tags each = 100 INSERTs + 300 tag lookups/inserts\n- Could batch into transaction: INSERT 100 jobs + 300 tag associations in single txn\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go:111-116`\n\n---\n\n## 4. JOB CACHE TO MAIN TABLE TRANSFER - IDENTIFIED ISSUE\n\n### Pattern: TransferCachedJobToMain (internal/repository/jobCreate.go:143)\n\n**EXACT ISSUE YOU MENTIONED:**\n\n```go\n// TransferCachedJobToMain - Lines 143-162\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n    res, err := r.DB.Exec(\n        \"INSERT INTO job ... SELECT ... FROM job_cache WHERE id = ?\", cacheID)\n    if err != nil { return 0, ... }\n    \n    newID, err := res.LastInsertId()\n    if err != nil { return 0, ... }\n    \n    _, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)  // SEPARATE OPERATION\n    if err != nil { return 0, ... }\n    \n    return newID, nil\n}\n```\n\n**Issue:** ⚠️ **TWO SEPARATE EXEC CALLS**\n- Line 144-146: INSERT\n- Line 156: DELETE\n- No transaction wrapping both operations\n- **Risk:** If DELETE fails, job orphaned in main table and cache\n\n**Transaction Fix:** Wrap both operations in `tx.Beginx()` / `tx.Commit()`\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go:143-162`\n\n---\n\n## 5. JOB STOP WORKFLOW - MILD CONSOLIDATION OPPORTUNITY\n\n### Pattern: stopJobByRequest (internal/api/job.go:805)\n\nCalls `checkAndHandleStopJob()` which likely:\n1. Updates job state (Stop)\n2. Transfers from cache to main table (INSERT + DELETE as shown above)\n3. Triggers archiving\n\n**Issue:** Multiple separate repository calls that could be transactional\n\n### Key Files:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go:805-835`\n- The actual logic is in `checkAndHandleStopJob()` - would need to read that\n\n---\n\n## 6. TAG REMOVAL - DISTRIBUTED WRITES\n\n### Pattern: RemoveTagByID (internal/repository/tags.go:216)\n\n```go\n// RemoveTagByID - Lines 216-244\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n    jobIds, err := r.FindJobIdsByTag(tagID)  // SELECT all job IDs\n    \n    qJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n    if _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil { ... }\n    \n    qTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n    if _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil { ... }\n    \n    go r.removeTagFromArchiveJobs(jobIds)  // ASYNC goroutine\n    \n    return nil\n}\n```\n\n**Issues:**\n- **2 separate DELETE statements** (jobtag, then tag)\n- Could be 1 transaction\n- Archive updates run **asynchronously in goroutine** (line 241)\n- **Lines 183-199** show async archive updates without error handling\n\n**Transaction Opportunity:** ⭐⭐⭐ **MODERATE**\n- Can wrap 2 DELETEs in single transaction\n\n### Key Files:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go:216-244`\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go:183-199`\n\n---\n\n## 7. GRAPHQL TAG MUTATIONS - LOOP-BASED WRITES\n\n### Pattern: AddTagsToJob, RemoveTagsFromJob (internal/graph/schema.resolvers.go:166, 213)\n\n**Lines 179-207** and **Lines 226-255**:\n```go\nfor _, tagID := range tagIds {\n    // Lookup tag\n    _, _, tscope, exists := r.Repo.TagInfo(tid)\n    // Authorization check\n    // Add/Remove\n    if tags, err = r.Repo.AddTag(...); err != nil { ... }\n}\n```\n\n**Issue:**\n- **Loop per tag** with individual `AddTag()` or `RemoveTag()` calls\n- 5 tags = 5 separate database transactions with archive updates\n- Could batch into single transaction\n\n**Batch Potential:** ⭐⭐⭐⭐ **HIGH**\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go:165-210, 212-258`\n\n---\n\n## 8. NATS API - SEMAPHORE-PROTECTED WRITES\n\n### Pattern: NATS Job/Node event handlers (internal/api/nats.go)\n\nUses semaphores to limit concurrency:\n```go\ntype NatsAPI struct {\n    jobSem chan struct{} // capacity 8\n    nodeSem chan struct{} // capacity 2\n}\n\nfunc (api *NatsAPI) handleJobEvent(...) {\n    api.jobSem <- struct{}{}      // acquire semaphore\n    defer func() { <-api.jobSem }() // release\n    // ... process job (same write patterns as REST)\n}\n```\n\n**No Issues:** Semaphores are for concurrency control, not transactional. Underlying writes are same as REST API (non-transactional tag adds).\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:62-80, 147-148`\n\n---\n\n## 9. STATISTICS/ENERGY FOOTPRINT UPDATES - AGGREGATION-ONLY\n\n### Pattern: Stats queries (internal/repository/stats.go)\n\nAll **READ-ONLY** SELECT with aggregations. No write batching opportunities.\n\nKey observation: Post-archiving stats updates are computed by `UpdateFootprint()` and `UpdateEnergy()` which are already in a single UPDATE statement (item #2).\n\n---\n\n## TRANSACTION SUPPORT STATUS\n\n**Good news:** The codebase **already has transaction support**:\n\n### Available Transaction API (internal/repository/transaction.go):\n```go\ntype Transaction struct { tx *sqlx.Tx }\n\nfunc (r *JobRepository) TransactionInit() (*Transaction, error)\nfunc (t *Transaction) Commit() error\nfunc (t *Transaction) Rollback() error\nfunc (r *JobRepository) TransactionAddNamed(t *Transaction, query string, args ...any) (int64, error)\nfunc (r *JobRepository) TransactionAdd(t *Transaction, query string, args ...any) (int64, error)\n```\n\n**Currently used in:** `/internal/repository/jobCreate.go:96-120` (SyncJobs function uses `tx.Beginx()`)\n\n**Not used in:** Tag operations, individual archiving, import loops\n\n---\n\n## SUMMARY TABLE\n\n| Pattern | Location | Issue | Batch Potential | Transaction Support | Priority |\n|---------|----------|-------|-----------------|---------------------|----------|\n| AddTagOrCreate in loop | api/job.go:760-777, api/job.go:570-583 | 1 txn per tag | ⭐⭐⭐⭐⭐ | Exists | HIGH |\n| ImportTag per tag | importer/handleImport.go:111-116 | 1 txn per tag | ⭐⭐⭐⭐⭐ | Exists | HIGH |\n| TransferCachedJobToMain | repository/jobCreate.go:143-162 | INSERT + DELETE separate | ⭐⭐⭐⭐ | Exists | **CRITICAL** |\n| RemoveTagByID | repository/tags.go:216-244 | 2 separate DELETEs | ⭐⭐⭐ | Exists | MEDIUM |\n| GraphQL AddTagsToJob | graph/schema.resolvers.go:179-207 | 1 txn per tag | ⭐⭐⭐⭐ | Exists | HIGH |\n| Archiving updates | archiver/archiveWorker.go:145-163 | 3 SETs chained (OK) | ⭐⭐ | Already good | LOW |\n| Job stats queries | repository/stats.go | Read-only aggregations | N/A | N/A | N/A |\n\n---\n\n## RECOMMENDATIONS\n\n1. **CRITICAL**: Fix `TransferCachedJobToMain()` - wrap INSERT + DELETE in transaction\n2. **HIGH**: Batch tag operations in `tagJob()` and `AddTagsToJob()` - add `BatchAddTags()` method\n3. **HIGH**: Batch import tag operations - wrap job insert + all tags in single transaction\n4. **MEDIUM**: Consolidate `RemoveTagByID()` - use single transaction for both DELETEs\n5. **MEDIUM**: Add async tag removal with error handling - current goroutine silently fails\n\n---\n\nThese patterns show that while transaction support exists, it's **underutilized** in high-frequency write paths, particularly around tag management where multiple individual operations could be safely batched."}],"totalDurationMs":64839,"totalTokens":81850,"totalToolUseCount":29,"usage":{"input_tokens":5,"cache_creation_input_tokens":1906,"cache_read_input_tokens":76371,"output_tokens":3568,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1906},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"be9edc37-8b94-42c3-a207-56a1de047ced","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"a93c39ad-d6d5-4a49-a8dd-8b7086258ea9","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","type":"tool_result","content":[{"type":"text","text":"Excellent! Now I have comprehensive information. Let me compile my final report based on all the data I've gathered.\n\n---\n\n## COMPREHENSIVE DATABASE WRITE OPERATIONS ANALYSIS - cc-backend\n\nBased on my thorough exploration of the codebase, here is a complete inventory of all database WRITE operations organized by contention patterns and optimization opportunities:\n\n### SECTION 1: JOB LIFECYCLE WRITES (CRITICAL CONTENTION POINTS)\n\n#### 1.1 Job Start/Insert Operations\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `InsertJob()` (line 54-70) | NamedExec to job_cache | Per-request (REST/NATS) | Mutex-protected only | CONTENTION: Single insert per request, uses mutex not transactions |\n| `InsertJobDirect()` (line 36-52) | NamedExec to job table | Per-request (with tags) | Mutex-protected only | CONTENTION: Mutex serializes all tag insertions sequentially |\n| `Start()` (line 166-183) | Marshals then InsertJob | Per-request | Indirect (via InsertJob) | THREE writes: footprint + resources + metadata marshaling before DB write |\n| `StartDirect()` (line 188-205) | Marshals then InsertJobDirect | Per-request (with tags) | Indirect (via InsertJobDirect) | SAME: Three marshals before single DB insert |\n| `SyncJobs()` (line 72-139) | INSERT OR IGNORE + DELETE in transaction | Periodic (cache flush) | **Transactional** ✓ | Good: Batches cache-to-main table transfer, but job-cache is per-request |\n| `TransferCachedJobToMain()` (line 143-162) | INSERT + DELETE (separate) | Per-job transfer | **NOT in transaction** ✗ | **ISSUE**: Two separate Exec() calls without transaction - race condition risk |\n\n**Key Findings:**\n- Job inserts use coarse `Mutex` locking instead of transactions\n- Every job start with tags locks the entire JobRepository for the duration\n- `TransferCachedJobToMain()` has two separate writes without transactional guarantees\n\n#### 1.2 Job Stop/Update Operations\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `Stop()` (line 208-226) | UPDATE job SET state/duration/monitoring_status | Per job-stop | No transaction | Single update, but needs cache invalidation |\n| `UpdateMonitoringStatus()` (line 892-902) | UPDATE job SET monitoring_status | Archiving failures | No transaction | Called frequently during archiving errors |\n| `UpdateMetadata()` (line 268-306) | UPDATE job SET meta_data + archive.UpdateMetadata() | Per metadata edit | No transaction | Two writes: DB + archive file (potential inconsistency) |\n| `DeleteJobByID()` (line 470-477) | DELETE from job | On-demand cleanup | No transaction | Single delete but should cascade with jobtag |\n| `DeleteJobsBefore()` (line 399-461) | DELETE from job WHERE start_time < ? | Periodic cleanup | No transaction | Bulk delete (potentially thousands of rows) without transaction |\n\n#### 1.3 Footprint & Energy Updates\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `UpdateFootprint()` (line 1010-1045) | Builds UPDATE stmt (not executed) | Archiving, footprint service | Returns builder only | Caller must execute; no transaction wrapping |\n| `UpdateEnergy()` (line 960-999) | Builds UPDATE stmt (not executed) | Archiving, footprint service | Returns builder only | Caller must execute; no transaction wrapping |\n\n**Critical Issue:** These return unexecuted UPDATE builders, caller is responsible for execution:\n- Archiver calls both in sequence (archiveWorker.go line 147-152) - **2 separate statements**\n- updateFootprintService calls them per-job in a loop - **potential N separate statements**\n\n---\n\n### SECTION 2: NODE STATE WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `AddNode()` (line 182-197) | NamedExec INSERT node | On first state update | No transaction | Single insert, minimal issue |\n| `UpdateNodeState()` (line 208-245) | SELECT node, AddNode if missing, then NamedExec node_state | Per state update | No transaction | **CONTENTION**: Two writes (node + state) without transaction |\n| `BatchUpdateNodeStates()` (line 257-316) | **Transactional batch** | Per REST /api/nodestats | **YES - Full transaction** ✓ | **GOOD**: Entire batch in single transaction |\n| `DeleteNodeStatesBefore()` (line 383-396) | DELETE node_state WHERE time_stamp < ? | Periodic cleanup | No transaction | Bulk delete without transaction |\n\n**Key Finding:**\n- `BatchUpdateNodeStates()` is well-optimized (transaction + prepared statements)\n- But `UpdateNodeState()` is called per-request and NOT transactional (called from NATS)\n\n---\n\n### SECTION 3: USER MANAGEMENT WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `AddUser()` (line 126-189) | INSERT hpc_user + INSERT configuration (for each default cluster) | Per user creation | No transaction | **CONTENTION**: Loop with separate INSERT per cluster (lines 167-184) |\n| `AddUserIfNotExists()` (line 195-204) | INSERT OR IGNORE | LDAP sync/concurrent login | **Implicit safeguard** | Uses INSERT OR IGNORE for race condition safety |\n| `UpdateUser()` (line 206-276) | Multiple UPDATE calls in conditionals (lines 210-273) | Per admin user update | **NO - Separate calls** ✗ | **CONTENTION**: Each role/project change is separate UPDATE with no transaction |\n| `AddRole()` (line 336-363) | UPDATE hpc_user SET roles | Per admin request | No transaction | Single update |\n| `RemoveRole()` (line 370-404) | UPDATE hpc_user SET roles | Per admin request | No transaction | Single update |\n| `AddProject()` (line 412-436) | UPDATE hpc_user SET projects | Per admin request | No transaction | Single update |\n| `RemoveProject()` (line 438-476) | UPDATE hpc_user SET projects | Per admin request | No transaction | Single update |\n| `DelUser()` (line 278-286) | DELETE hpc_user | Per admin request | No transaction | Single delete |\n\n**Key Findings:**\n- `AddUser()` has implicit loop with N separate INSERTs for default metrics (deprecated code at line 162)\n- `UpdateUser()` has 4 separate UPDATE paths with no transaction (lines 210, 220, 227, 233, 245, 248, 256, 270)\n\n---\n\n### SECTION 4: TAG MANAGEMENT WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `CreateTag()` (line 255-271) | INSERT tag | Per unique tag | No transaction | Single insert, minimal contention |\n| `AddTag()` (line 73-83) | INSERT jobtag + archive.UpdateTags() | Per tag-job association | No transaction | **CONTENTION**: Two writes (DB + archive) without transaction |\n| `AddTagDirect()` (line 87-97) | Same as AddTag | From importer/batch | No transaction | Same issue |\n| `addJobTag()` (line 398-420) | INSERT jobtag + getTags callback + archive.UpdateTags() | Internal helper | No transaction | **THREE operations**: INSERT, SELECT, archive update |\n| `AddTagOrCreate()` (line 424-451) | CreateTag if missing, then AddTag | Per request | No transaction | Nested writes without transaction |\n| `RemoveTag()` (line 101-129) | DELETE jobtag + archive.UpdateTags() | Per tag removal | No transaction | **CONTENTION**: Two writes without transaction |\n| `RemoveTagByID()` (line 216-244) | DELETE jobtag + DELETE tag + async removeTagFromArchiveJobs | Per tag deletion | **Partial** ✗ | Two DB deletes OK, but async archive update has race condition |\n| `RemoveJobTagByRequest()` (line 133-170) | Same as RemoveTag | REST API path | No transaction | Two writes without transaction |\n| `ImportTag()` (line 620-640) | INSERT jobtag (after CreateTag checked) | Per import | No transaction | Single insert in loop |\n\n**Key Findings:**\n- Tag operations pair DB writes with archive file updates without transactions\n- `RemoveTagByID()` spawns goroutine (line 241) for archive update - potential race condition\n\n---\n\n### SECTION 5: USER CONFIG WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/userConfig.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `UpdateConfig()` (line 110-125) | REPLACE configuration | Per UI config change | No transaction | Single REPLACE, minimal contention |\n\n---\n\n### SECTION 6: ARCHIVER WRITES (BACKGROUND WORKER)\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| Archiving sequence (line 130-160) | UpdateMonitoringStatus (on error) + UpdateFootprint() + UpdateEnergy() + Exec | Per job archiving | **SEPARATE calls** ✗ | **CRITICAL**: UpdateFootprint/UpdateEnergy return builders, archiver executes 2 statements without transaction (lines 147-155) |\n\n**Critical Issue:**\n```\nstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\nstmt, err = jobRepo.UpdateFootprint(stmt, jobMeta)  // Modifies stmt\nif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta)  // Further modifies stmt\n// Only NOW is stmt.Exec() called - both updates in single statement\n// BUT UpdateMonitoringStatus() above is separate (line 130) = 2 separate writes\n```\n\n---\n\n### SECTION 7: IMPORTER WRITES (BULK OPERATIONS)\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/initDB.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `InitDB()` (line 49-154) | Batch 100 jobs per transaction | Startup/full reimport | **Transactional batches** ✓ | GOOD: Groups 100 INSERT + tag operations per transaction |\n| Job insert in batch | TransactionAddNamed for job | Per 100 jobs | Within transaction ✓ | OK |\n| Tag insert in batch | TransactionAdd for tag/jobtag | Per tag in job | Within transaction ✓ | OK |\n\n**Key Finding:**\n- `InitDB()` is well-optimized with batch transactions (100 jobs each)\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `HandleImportFlag()` (line 38-121) | Per-file: archive.ImportJob + InsertJobDirect + loop ImportTag | Per import file | **NO transaction** ✗ | **ISSUE**: Each imported job is separate (no batching), tags inserted one-by-one |\n\n---\n\n### SECTION 8: REST API WRITES (internal/api)\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `startJob()` (REST POST /api/jobs/) | Start/tag write sequence | Per REST request | Caller handles via NATS/archiver | Delegates to repository |\n| `stopJob()` (REST POST /api/jobs/stop/) | Stop + UpdateMonitoringStatus | Per REST request | Separate calls | Job.Stop() + archiver trigger |\n| `editMeta()` (PATCH /api/jobs/edit_meta/{id}) | UpdateMetadata() | Per edit request | No transaction | Single DB write + archive |\n| `deleteJob()` | DeleteJobByID() | Per admin request | No transaction | Single delete |\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/user.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `updateUser()` (line 76-128) | AddRole/RemoveRole/AddProject/RemoveProject conditionally | Per admin request | **NO transaction** ✗ | Each operation is separate UPDATE call (lines 94, 102, 110, 118) |\n| `createUser()` (line 147-193) | AddUser (with deprecated metric config loop) | Per user creation | No transaction | Delegates to repository |\n\n**Key Finding:**\n- API handlers directly call repository methods without batching\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `updateNodeStates()` (line 71-150) | BatchUpdateNodeStates() | Per REST /api/nodestats | **YES** ✓ | GOOD: Already using batch transaction wrapper |\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `handleStartJob()` (line 180-247) | Start/tag sequence + RepositoryMutex | Per NATS job.start message | Mutex + conditional | Serializes duplicate checks across all job starts |\n| `handleStopJob()` (line 252-300+) | Stop + monitoring status | Per NATS job.stop message | No transaction | Separate calls |\n\n**Key Finding:**\n- `handleStartJob()` uses coarse `RepositoryMutex` for all job starts (limits concurrency to 1)\n\n---\n\n## SECTION 9: TRANSACTION SUPPORT INFRASTRUCTURE\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/transaction.go`\n\n| Operation | Pattern | Available | Used | Issue |\n|-----------|---------|-----------|------|-------|\n| `TransactionInit()` | Begin transaction | YES | ✓ InitDB only | Underutilized outside of initialization |\n| `TransactionAdd()` | Exec within tx | YES | ✓ InitDB only | Not used in REST/NATS handlers |\n| `TransactionAddNamed()` | NamedExec within tx | YES | ✓ InitDB only | Designed for batch but only used in InitDB |\n| `Commit()` / `Rollback()` | Standard tx control | YES | ✓ | Available but not used in hot paths |\n\n---\n\n## HIGH-PRIORITY CONTENTION ISSUES\n\n### **CRITICAL (P0):**\n\n1. **Job Start Serialization** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:206`\n   - `RepositoryMutex.Lock()` serializes ALL concurrent job starts\n   - Limits throughput to single job start at a time\n   - Held during duplicate check + tag operations\n   - **Impact:** NATS job start concurrency = 1\n\n2. **TransferCachedJobToMain Race Condition** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go:143-162`\n   - INSERT + DELETE are separate `Exec()` calls\n   - No transaction between them\n   - If process crashes between INSERT and DELETE, job_cache row orphaned\n   - **Impact:** Data loss / inconsistency risk during transfers\n\n3. **Tag Operations Without Transactions** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go`\n   - `AddTag()`: DB INSERT jobtag + archive.UpdateTags() separate\n   - `RemoveTag()`: DB DELETE jobtag + archive.UpdateTags() separate  \n   - `RemoveTagByID()`: spawns async goroutine for archive (race condition)\n   - **Impact:** DB-archive inconsistency if either fails mid-operation\n\n4. **Archiver Multiple Separate Updates** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go:130,147-155`\n   - UpdateMonitoringStatus (line 130) = separate write\n   - UpdateFootprint + UpdateEnergy (lines 147-155) = combined in single statement\n   - But if footprint fails, energy never updated\n   - **Impact:** Incomplete job archiving data\n\n### **HIGH (P1):**\n\n5. **UpdateUser Without Transaction** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go:206-276`\n   - 4 separate UPDATE paths, no transaction\n   - If admin modifies role+project, inconsistent state if second fails\n   - **Impact:** User permission inconsistencies\n\n6. **AddUser Deprecated Loop** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go:167-184`\n   - Loop with separate INSERT per cluster\n   - Code marked DEPRECATED but still runs\n   - **Impact:** N separate writes per user creation\n\n7. **HandleImportFlag No Batching** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go:38-121`\n   - Each imported job is individual (no transaction)\n   - Loop of InsertJobDirect + ImportTag calls\n   - **Impact:** No batch optimization for bulk imports\n\n8. **DeleteJobsBefore Bulk Without Transaction** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:399-461`\n   - DELETE from job WHERE start_time < ?\n   - Potentially thousands of rows, single statement but no transaction\n   - If cascades fail, inconsistent state\n   - **Impact:** Data integrity during bulk cleanup\n\n9. **UpdateMetadata Split Write** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:268-306`\n   - DB UPDATE + archive.UpdateMetadata() separate\n   - No transaction\n   - **Impact:** DB-archive inconsistency on failure\n\n10. **REST API User Updates Serialize** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/user.go:76-128`\n    - Each role/project operation is separate REST handler call\n    - updateUser() itself calls single repository method per request\n    - **Impact:** User sees 4 separate state changes if adding role+project\n\n---\n\n## SUMMARY TABLE - WRITE OPERATIONS BY CONTENTION RISK\n\n| Component | Location | Writes/Batch | Transaction | Frequency | Risk Level |\n|-----------|----------|--------------|-------------|-----------|-----------|\n| Job Start (NATS) | nats.go:206 | 1-2 (job+tags) | **Mutex-only** | Per job start | **CRITICAL** |\n| Job Start (REST) | jobCreate.go | 1-2 (job+tags) | Mutex-only | Per job start | CRITICAL |\n| TransferCachedJobToMain | jobCreate.go:144,156 | 2 (INSERT+DELETE) | **None** | Cache flush | **CRITICAL** |\n| Tag Add/Remove | tags.go | 2 (DB+archive) | None | Per tag op | **HIGH** |\n| User Update | user.go:206 | 4 (separate UPDATEs) | None | Per admin update | **HIGH** |\n| Node State (batch) | node.go:257 | N (batched) | **Transaction** ✓ | Per REST request | LOW |\n| InitDB Import | initDB.go | 100 (batched) | **Transaction** ✓ | Startup | LOW |\n| Job Archive | archiveWorker.go | 3 (separate) | Partial ✗ | Per job archive | **HIGH** |\n\n---\n\n## RECOMMENDATIONS FOR OPTIMIZATION\n\n1. **Replace Mutex with Transactions** for job start operations\n2. **Batch TagOps** into single transaction for add/remove\n3. **Transactionalize** UpdateUser role/project changes\n4. **Wrap Archiver** updates in single transaction\n5. **Add Transactional Batching** to HandleImportFlag\n6. **Fix TransferCachedJobToMain** race by moving to transaction\n7. **Remove Deprecated User Config Loop** in AddUser\n\nAll paths are now documented with specific file paths, line numbers, and actionable issues."},{"type":"text","text":"agentId: ab0b0e624428f5b1f (for resuming to continue this agent's work if needed)\n<usage>total_tokens: 120521\ntool_uses: 32\nduration_ms: 81558</usage>"}]}]},"uuid":"a337a0bd-8ef5-4b12-8203-5819f98796af","timestamp":"2026-03-16T10:20:01.529Z","toolUseResult":{"status":"completed","prompt":"Explore the cc-backend codebase for all database WRITE operations (INSERT, UPDATE, DELETE, Exec, NamedExec) that could cause SQLite write contention. I need to find patterns that are:\n\n1. Called frequently or in loops without transactions\n2. Multiple separate writes that could be batched into a single transaction\n3. Write operations triggered by external events (REST handlers, scheduled tasks, archiving)\n\nFocus on these directories:\n- internal/repository/ (all .go files)\n- internal/api/ (all .go files)  \n- internal/archiver/\n- internal/importer/\n\nFor each write operation found, note:\n- The function name and file path\n- Whether it's already in a transaction\n- How frequently it's likely called (per-request, per-job, periodic, etc.)\n- Whether multiple writes happen in sequence that could be batched\n\nBe very thorough - check every .go file in these directories. Skip test files.","agentId":"ab0b0e624428f5b1f","content":[{"type":"text","text":"Excellent! Now I have comprehensive information. Let me compile my final report based on all the data I've gathered.\n\n---\n\n## COMPREHENSIVE DATABASE WRITE OPERATIONS ANALYSIS - cc-backend\n\nBased on my thorough exploration of the codebase, here is a complete inventory of all database WRITE operations organized by contention patterns and optimization opportunities:\n\n### SECTION 1: JOB LIFECYCLE WRITES (CRITICAL CONTENTION POINTS)\n\n#### 1.1 Job Start/Insert Operations\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `InsertJob()` (line 54-70) | NamedExec to job_cache | Per-request (REST/NATS) | Mutex-protected only | CONTENTION: Single insert per request, uses mutex not transactions |\n| `InsertJobDirect()` (line 36-52) | NamedExec to job table | Per-request (with tags) | Mutex-protected only | CONTENTION: Mutex serializes all tag insertions sequentially |\n| `Start()` (line 166-183) | Marshals then InsertJob | Per-request | Indirect (via InsertJob) | THREE writes: footprint + resources + metadata marshaling before DB write |\n| `StartDirect()` (line 188-205) | Marshals then InsertJobDirect | Per-request (with tags) | Indirect (via InsertJobDirect) | SAME: Three marshals before single DB insert |\n| `SyncJobs()` (line 72-139) | INSERT OR IGNORE + DELETE in transaction | Periodic (cache flush) | **Transactional** ✓ | Good: Batches cache-to-main table transfer, but job-cache is per-request |\n| `TransferCachedJobToMain()` (line 143-162) | INSERT + DELETE (separate) | Per-job transfer | **NOT in transaction** ✗ | **ISSUE**: Two separate Exec() calls without transaction - race condition risk |\n\n**Key Findings:**\n- Job inserts use coarse `Mutex` locking instead of transactions\n- Every job start with tags locks the entire JobRepository for the duration\n- `TransferCachedJobToMain()` has two separate writes without transactional guarantees\n\n#### 1.2 Job Stop/Update Operations\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `Stop()` (line 208-226) | UPDATE job SET state/duration/monitoring_status | Per job-stop | No transaction | Single update, but needs cache invalidation |\n| `UpdateMonitoringStatus()` (line 892-902) | UPDATE job SET monitoring_status | Archiving failures | No transaction | Called frequently during archiving errors |\n| `UpdateMetadata()` (line 268-306) | UPDATE job SET meta_data + archive.UpdateMetadata() | Per metadata edit | No transaction | Two writes: DB + archive file (potential inconsistency) |\n| `DeleteJobByID()` (line 470-477) | DELETE from job | On-demand cleanup | No transaction | Single delete but should cascade with jobtag |\n| `DeleteJobsBefore()` (line 399-461) | DELETE from job WHERE start_time < ? | Periodic cleanup | No transaction | Bulk delete (potentially thousands of rows) without transaction |\n\n#### 1.3 Footprint & Energy Updates\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `UpdateFootprint()` (line 1010-1045) | Builds UPDATE stmt (not executed) | Archiving, footprint service | Returns builder only | Caller must execute; no transaction wrapping |\n| `UpdateEnergy()` (line 960-999) | Builds UPDATE stmt (not executed) | Archiving, footprint service | Returns builder only | Caller must execute; no transaction wrapping |\n\n**Critical Issue:** These return unexecuted UPDATE builders, caller is responsible for execution:\n- Archiver calls both in sequence (archiveWorker.go line 147-152) - **2 separate statements**\n- updateFootprintService calls them per-job in a loop - **potential N separate statements**\n\n---\n\n### SECTION 2: NODE STATE WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `AddNode()` (line 182-197) | NamedExec INSERT node | On first state update | No transaction | Single insert, minimal issue |\n| `UpdateNodeState()` (line 208-245) | SELECT node, AddNode if missing, then NamedExec node_state | Per state update | No transaction | **CONTENTION**: Two writes (node + state) without transaction |\n| `BatchUpdateNodeStates()` (line 257-316) | **Transactional batch** | Per REST /api/nodestats | **YES - Full transaction** ✓ | **GOOD**: Entire batch in single transaction |\n| `DeleteNodeStatesBefore()` (line 383-396) | DELETE node_state WHERE time_stamp < ? | Periodic cleanup | No transaction | Bulk delete without transaction |\n\n**Key Finding:**\n- `BatchUpdateNodeStates()` is well-optimized (transaction + prepared statements)\n- But `UpdateNodeState()` is called per-request and NOT transactional (called from NATS)\n\n---\n\n### SECTION 3: USER MANAGEMENT WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `AddUser()` (line 126-189) | INSERT hpc_user + INSERT configuration (for each default cluster) | Per user creation | No transaction | **CONTENTION**: Loop with separate INSERT per cluster (lines 167-184) |\n| `AddUserIfNotExists()` (line 195-204) | INSERT OR IGNORE | LDAP sync/concurrent login | **Implicit safeguard** | Uses INSERT OR IGNORE for race condition safety |\n| `UpdateUser()` (line 206-276) | Multiple UPDATE calls in conditionals (lines 210-273) | Per admin user update | **NO - Separate calls** ✗ | **CONTENTION**: Each role/project change is separate UPDATE with no transaction |\n| `AddRole()` (line 336-363) | UPDATE hpc_user SET roles | Per admin request | No transaction | Single update |\n| `RemoveRole()` (line 370-404) | UPDATE hpc_user SET roles | Per admin request | No transaction | Single update |\n| `AddProject()` (line 412-436) | UPDATE hpc_user SET projects | Per admin request | No transaction | Single update |\n| `RemoveProject()` (line 438-476) | UPDATE hpc_user SET projects | Per admin request | No transaction | Single update |\n| `DelUser()` (line 278-286) | DELETE hpc_user | Per admin request | No transaction | Single delete |\n\n**Key Findings:**\n- `AddUser()` has implicit loop with N separate INSERTs for default metrics (deprecated code at line 162)\n- `UpdateUser()` has 4 separate UPDATE paths with no transaction (lines 210, 220, 227, 233, 245, 248, 256, 270)\n\n---\n\n### SECTION 4: TAG MANAGEMENT WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `CreateTag()` (line 255-271) | INSERT tag | Per unique tag | No transaction | Single insert, minimal contention |\n| `AddTag()` (line 73-83) | INSERT jobtag + archive.UpdateTags() | Per tag-job association | No transaction | **CONTENTION**: Two writes (DB + archive) without transaction |\n| `AddTagDirect()` (line 87-97) | Same as AddTag | From importer/batch | No transaction | Same issue |\n| `addJobTag()` (line 398-420) | INSERT jobtag + getTags callback + archive.UpdateTags() | Internal helper | No transaction | **THREE operations**: INSERT, SELECT, archive update |\n| `AddTagOrCreate()` (line 424-451) | CreateTag if missing, then AddTag | Per request | No transaction | Nested writes without transaction |\n| `RemoveTag()` (line 101-129) | DELETE jobtag + archive.UpdateTags() | Per tag removal | No transaction | **CONTENTION**: Two writes without transaction |\n| `RemoveTagByID()` (line 216-244) | DELETE jobtag + DELETE tag + async removeTagFromArchiveJobs | Per tag deletion | **Partial** ✗ | Two DB deletes OK, but async archive update has race condition |\n| `RemoveJobTagByRequest()` (line 133-170) | Same as RemoveTag | REST API path | No transaction | Two writes without transaction |\n| `ImportTag()` (line 620-640) | INSERT jobtag (after CreateTag checked) | Per import | No transaction | Single insert in loop |\n\n**Key Findings:**\n- Tag operations pair DB writes with archive file updates without transactions\n- `RemoveTagByID()` spawns goroutine (line 241) for archive update - potential race condition\n\n---\n\n### SECTION 5: USER CONFIG WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/userConfig.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `UpdateConfig()` (line 110-125) | REPLACE configuration | Per UI config change | No transaction | Single REPLACE, minimal contention |\n\n---\n\n### SECTION 6: ARCHIVER WRITES (BACKGROUND WORKER)\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| Archiving sequence (line 130-160) | UpdateMonitoringStatus (on error) + UpdateFootprint() + UpdateEnergy() + Exec | Per job archiving | **SEPARATE calls** ✗ | **CRITICAL**: UpdateFootprint/UpdateEnergy return builders, archiver executes 2 statements without transaction (lines 147-155) |\n\n**Critical Issue:**\n```\nstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\nstmt, err = jobRepo.UpdateFootprint(stmt, jobMeta)  // Modifies stmt\nif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta)  // Further modifies stmt\n// Only NOW is stmt.Exec() called - both updates in single statement\n// BUT UpdateMonitoringStatus() above is separate (line 130) = 2 separate writes\n```\n\n---\n\n### SECTION 7: IMPORTER WRITES (BULK OPERATIONS)\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/initDB.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `InitDB()` (line 49-154) | Batch 100 jobs per transaction | Startup/full reimport | **Transactional batches** ✓ | GOOD: Groups 100 INSERT + tag operations per transaction |\n| Job insert in batch | TransactionAddNamed for job | Per 100 jobs | Within transaction ✓ | OK |\n| Tag insert in batch | TransactionAdd for tag/jobtag | Per tag in job | Within transaction ✓ | OK |\n\n**Key Finding:**\n- `InitDB()` is well-optimized with batch transactions (100 jobs each)\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `HandleImportFlag()` (line 38-121) | Per-file: archive.ImportJob + InsertJobDirect + loop ImportTag | Per import file | **NO transaction** ✗ | **ISSUE**: Each imported job is separate (no batching), tags inserted one-by-one |\n\n---\n\n### SECTION 8: REST API WRITES (internal/api)\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `startJob()` (REST POST /api/jobs/) | Start/tag write sequence | Per REST request | Caller handles via NATS/archiver | Delegates to repository |\n| `stopJob()` (REST POST /api/jobs/stop/) | Stop + UpdateMonitoringStatus | Per REST request | Separate calls | Job.Stop() + archiver trigger |\n| `editMeta()` (PATCH /api/jobs/edit_meta/{id}) | UpdateMetadata() | Per edit request | No transaction | Single DB write + archive |\n| `deleteJob()` | DeleteJobByID() | Per admin request | No transaction | Single delete |\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/user.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `updateUser()` (line 76-128) | AddRole/RemoveRole/AddProject/RemoveProject conditionally | Per admin request | **NO transaction** ✗ | Each operation is separate UPDATE call (lines 94, 102, 110, 118) |\n| `createUser()` (line 147-193) | AddUser (with deprecated metric config loop) | Per user creation | No transaction | Delegates to repository |\n\n**Key Finding:**\n- API handlers directly call repository methods without batching\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `updateNodeStates()` (line 71-150) | BatchUpdateNodeStates() | Per REST /api/nodestats | **YES** ✓ | GOOD: Already using batch transaction wrapper |\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `handleStartJob()` (line 180-247) | Start/tag sequence + RepositoryMutex | Per NATS job.start message | Mutex + conditional | Serializes duplicate checks across all job starts |\n| `handleStopJob()` (line 252-300+) | Stop + monitoring status | Per NATS job.stop message | No transaction | Separate calls |\n\n**Key Finding:**\n- `handleStartJob()` uses coarse `RepositoryMutex` for all job starts (limits concurrency to 1)\n\n---\n\n## SECTION 9: TRANSACTION SUPPORT INFRASTRUCTURE\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/transaction.go`\n\n| Operation | Pattern | Available | Used | Issue |\n|-----------|---------|-----------|------|-------|\n| `TransactionInit()` | Begin transaction | YES | ✓ InitDB only | Underutilized outside of initialization |\n| `TransactionAdd()` | Exec within tx | YES | ✓ InitDB only | Not used in REST/NATS handlers |\n| `TransactionAddNamed()` | NamedExec within tx | YES | ✓ InitDB only | Designed for batch but only used in InitDB |\n| `Commit()` / `Rollback()` | Standard tx control | YES | ✓ | Available but not used in hot paths |\n\n---\n\n## HIGH-PRIORITY CONTENTION ISSUES\n\n### **CRITICAL (P0):**\n\n1. **Job Start Serialization** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:206`\n   - `RepositoryMutex.Lock()` serializes ALL concurrent job starts\n   - Limits throughput to single job start at a time\n   - Held during duplicate check + tag operations\n   - **Impact:** NATS job start concurrency = 1\n\n2. **TransferCachedJobToMain Race Condition** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go:143-162`\n   - INSERT + DELETE are separate `Exec()` calls\n   - No transaction between them\n   - If process crashes between INSERT and DELETE, job_cache row orphaned\n   - **Impact:** Data loss / inconsistency risk during transfers\n\n3. **Tag Operations Without Transactions** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go`\n   - `AddTag()`: DB INSERT jobtag + archive.UpdateTags() separate\n   - `RemoveTag()`: DB DELETE jobtag + archive.UpdateTags() separate  \n   - `RemoveTagByID()`: spawns async goroutine for archive (race condition)\n   - **Impact:** DB-archive inconsistency if either fails mid-operation\n\n4. **Archiver Multiple Separate Updates** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go:130,147-155`\n   - UpdateMonitoringStatus (line 130) = separate write\n   - UpdateFootprint + UpdateEnergy (lines 147-155) = combined in single statement\n   - But if footprint fails, energy never updated\n   - **Impact:** Incomplete job archiving data\n\n### **HIGH (P1):**\n\n5. **UpdateUser Without Transaction** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go:206-276`\n   - 4 separate UPDATE paths, no transaction\n   - If admin modifies role+project, inconsistent state if second fails\n   - **Impact:** User permission inconsistencies\n\n6. **AddUser Deprecated Loop** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go:167-184`\n   - Loop with separate INSERT per cluster\n   - Code marked DEPRECATED but still runs\n   - **Impact:** N separate writes per user creation\n\n7. **HandleImportFlag No Batching** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go:38-121`\n   - Each imported job is individual (no transaction)\n   - Loop of InsertJobDirect + ImportTag calls\n   - **Impact:** No batch optimization for bulk imports\n\n8. **DeleteJobsBefore Bulk Without Transaction** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:399-461`\n   - DELETE from job WHERE start_time < ?\n   - Potentially thousands of rows, single statement but no transaction\n   - If cascades fail, inconsistent state\n   - **Impact:** Data integrity during bulk cleanup\n\n9. **UpdateMetadata Split Write** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:268-306`\n   - DB UPDATE + archive.UpdateMetadata() separate\n   - No transaction\n   - **Impact:** DB-archive inconsistency on failure\n\n10. **REST API User Updates Serialize** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/user.go:76-128`\n    - Each role/project operation is separate REST handler call\n    - updateUser() itself calls single repository method per request\n    - **Impact:** User sees 4 separate state changes if adding role+project\n\n---\n\n## SUMMARY TABLE - WRITE OPERATIONS BY CONTENTION RISK\n\n| Component | Location | Writes/Batch | Transaction | Frequency | Risk Level |\n|-----------|----------|--------------|-------------|-----------|-----------|\n| Job Start (NATS) | nats.go:206 | 1-2 (job+tags) | **Mutex-only** | Per job start | **CRITICAL** |\n| Job Start (REST) | jobCreate.go | 1-2 (job+tags) | Mutex-only | Per job start | CRITICAL |\n| TransferCachedJobToMain | jobCreate.go:144,156 | 2 (INSERT+DELETE) | **None** | Cache flush | **CRITICAL** |\n| Tag Add/Remove | tags.go | 2 (DB+archive) | None | Per tag op | **HIGH** |\n| User Update | user.go:206 | 4 (separate UPDATEs) | None | Per admin update | **HIGH** |\n| Node State (batch) | node.go:257 | N (batched) | **Transaction** ✓ | Per REST request | LOW |\n| InitDB Import | initDB.go | 100 (batched) | **Transaction** ✓ | Startup | LOW |\n| Job Archive | archiveWorker.go | 3 (separate) | Partial ✗ | Per job archive | **HIGH** |\n\n---\n\n## RECOMMENDATIONS FOR OPTIMIZATION\n\n1. **Replace Mutex with Transactions** for job start operations\n2. **Batch TagOps** into single transaction for add/remove\n3. **Transactionalize** UpdateUser role/project changes\n4. **Wrap Archiver** updates in single transaction\n5. **Add Transactional Batching** to HandleImportFlag\n6. **Fix TransferCachedJobToMain** race by moving to transaction\n7. **Remove Deprecated User Config Loop** in AddUser\n\nAll paths are now documented with specific file paths, line numbers, and actionable issues."}],"totalDurationMs":81558,"totalTokens":120521,"totalToolUseCount":32,"usage":{"input_tokens":4,"cache_creation_input_tokens":3553,"cache_read_input_tokens":111500,"output_tokens":5464,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":3553},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"a93c39ad-d6d5-4a49-a8dd-8b7086258ea9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"f0935097-6b79-44e4-81d4-4ce525f0f4f3","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MKZPCCebdvpFXikwtfC4E6","type":"tool_result","content":[{"type":"text","text":"Perfect! Now I have gathered comprehensive information. Let me create a detailed summary of all the findings.\n\n## Summary Report: Periodic/Scheduled Tasks and Background Goroutines in cc-backend\n\nI've completed a comprehensive exploration of the cc-backend codebase to identify all periodic/scheduled tasks and background goroutines that write to SQLite. Here's the complete findings:\n\n---\n\n### **TASK MANAGER (gocron-based scheduler)**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/`\n\nThe main scheduler is initialized in `main.go` line 374:\n```go\ntaskmanager.Start(ccconf.GetPackageConfig(\"cron\"), ccconf.GetPackageConfig(\"archive\"))\n```\n\n#### **1. Commit Job Service (commitJobService.go)**\n- **Frequency:** Default 2 minutes (configurable via `commit-job-worker`)\n- **DB Operation:** `jobRepo.SyncJobs()` + callback hooks\n- **Type:** Duration-based job (gocron.DurationJob)\n- **Batching:** Handled via SyncJobs() call\n- **Details:** Syncs job cache and triggers job start hooks\n\n#### **2. Update Duration Worker (updateDurationService.go)**\n- **Frequency:** Default 5 minutes (configurable via `duration-worker`)\n- **DB Operation:** `jobRepo.UpdateDuration()`\n- **Type:** Duration-based job\n- **Batching:** Single call, likely batches updates internally\n- **Details:** Updates job duration fields in DB\n\n#### **3. Footprint Update Worker (updateFootprintService.go)**\n- **Frequency:** Default 10 minutes (configurable via `footprint-worker`)\n- **DB Operation:** Multiple per-cluster database updates using transactions\n  - Uses `jobRepo.TransactionInit()`, `jobRepo.TransactionAdd()`, `jobRepo.TransactionEnd()`\n  - Updates job statistics (avg/min/max) for running jobs\n- **Batching:** Proper transaction batching per cluster\n- **Details:** \n  - Iterates through all clusters and running jobs\n  - Loads metrics from metric stores\n  - Builds UPDATE statements and batches them per cluster\n  - Uses transactions to apply all updates atomically\n\n#### **4. Stop Jobs Exceeding Walltime (stopJobsExceedTime.go)**\n- **Frequency:** Daily at 3:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.StopJobsExceedingWalltimeBy(duration)` + GC\n- **Type:** Daily job (gocron.DailyJob)\n- **Batching:** Handled internally by repository function\n- **Conditional:** Only runs if `config.Keys.StopJobsExceedingWalltime > 0`\n\n#### **5. Retention Delete Service (retentionService.go)**\n- **Frequency:** Daily at 3:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.FindJobsBetween()` + `jobRepo.DeleteJobsBefore()` + `jobRepo.Optimize()`\n- **Type:** Daily job\n- **Batching:** Deletes are batched via `DeleteJobsBefore()`\n- **Conditional:** Only if retention policy = \"delete\"\n- **Details:** Deletes archived jobs older than configured age\n\n#### **6. Retention Copy Service (retentionService.go)**\n- **Frequency:** Daily at 4:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.FindJobsBetween()` (no DB writes, only archive operations)\n- **Type:** Daily job\n- **Conditional:** Only if retention policy = \"copy\"\n- **Details:** Copies jobs to secondary backend without DB deletions\n\n#### **7. Retention Move Service (retentionService.go)**\n- **Frequency:** Daily at 5:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.FindJobsBetween()` + `jobRepo.DeleteJobsBefore()` + `jobRepo.Optimize()`\n- **Type:** Daily job\n- **Batching:** Deletes are batched\n- **Conditional:** Only if retention policy = \"move\"\n- **Details:** Moves jobs to secondary backend then deletes from DB\n\n#### **8. Compression Service (compressionService.go)**\n- **Frequency:** Daily at 5:00 AM (hardcoded, conflicts with move service)\n- **DB Operation:** `jobRepo.FindJobsBetween()` (no DB writes, only archive compression)\n- **Type:** Daily job\n- **Details:** Compresses old archived jobs\n- **Always enabled:** Even without explicit retention config\n\n#### **9. LDAP Sync Service (ldapSyncService.go)**\n- **Frequency:** Configurable via `LdapConfig.SyncInterval`\n- **DB Operation:** `auth.LdapAuth.Sync()` (user table updates, not job-related)\n- **Type:** Duration-based job\n- **Conditional:** Only if LDAP is configured\n\n#### **10. Node State Retention Delete Service (nodestateRetentionService.go)**\n- **Frequency:** Daily at 2:00 AM (hardcoded)\n- **DB Operation:** `nodeRepo.DeleteNodeStatesBefore(cutoff)`\n- **Type:** Daily job\n- **Conditional:** Only if `config.Keys.NodeStateRetention.Policy == \"delete\"`\n- **Details:** Deletes node state records older than configured age (default 24 hours)\n\n#### **11. Node State Retention Move Service (nodestateRetentionService.go)**\n- **Frequency:** Daily at 2:30 AM (hardcoded)\n- **DB Operation:** `nodeRepo.FindNodeStatesBefore()` + `nodeRepo.DeleteNodeStatesBefore()`\n- **Type:** Daily job\n- **Conditional:** Only if `config.Keys.NodeStateRetention.Policy == \"move\"`\n- **Details:** Archives node states to Parquet then deletes from DB\n\n---\n\n### **METRIC STORE BACKGROUND WORKERS**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/`\n\nInitialized in `main.go` line 343:\n```go\nmetricstore.Init(mscfg, metrics, &wg)\n```\n\nThese goroutines run concurrently and handle metric data persistence. **Note: These do NOT directly write to the SQLite job/node database, but they handle metric checkpoint persistence to disk.**\n\n#### **1. Checkpointing Worker (checkpoint.go:94)**\n- **Frequency:** 12 hours (default, configurable via `checkpoint-interval`)\n- **Operation:** Periodic metric data checkpoints to JSON or binary WAL format\n- **Type:** Duration-based ticker\n- **Details:**\n  - Saves in-memory metric buffers to disk\n  - Two formats: JSON (human-readable) or WAL+binary (crash-safe)\n  - Uses worker pool with `Keys.NumWorkers` (default: min(CPU/2+1, 10))\n  - Rotates WAL files after successful checkpoint\n\n#### **2. WAL Staging Worker (walCheckpoint.go:118)**\n- **Frequency:** Continuous (processes messages from channel)\n- **Operation:** Writes individual metric entries to write-ahead logs\n- **Type:** Channel-based message processor\n- **Details:**\n  - Processes `WALMessages` channel (from line protocol ingestion)\n  - Writes binary WAL records to per-host WAL files\n  - Manages file handles for efficient buffering\n  - Handles WAL rotation on command\n\n#### **3. Retention Worker (metricstore.go:320)**\n- **Frequency:** Half of `Keys.RetentionInMemory` interval\n- **Operation:** Frees in-memory metric buffers older than retention period\n- **Type:** Duration-based ticker\n- **Details:**\n  - Calls `Free(ms, t)` to remove old data from memory\n  - Cleans buffer pool with `bufferPool.Clean()`\n  - Does NOT write to SQLite, only memory management\n\n#### **4. Cleanup Worker (archive.go:23)**\n- **Frequency:** `Keys.RetentionInMemory` interval\n- **Operation:** Either archives or deletes old checkpoint files\n- **Type:** Duration-based ticker\n- **Modes:** \n  - \"archive\": Moves old checkpoint files to Parquet format\n  - \"delete\": Deletes old checkpoint files\n- **Details:**\n  - Uses worker pool for parallel processing\n  - Supports both local filesystem and S3 targets\n  - Runs daily cleanup job\n\n#### **5. Memory Usage Tracker (metricstore.go:383)**\n- **Frequency:** `DefaultMemoryUsageTrackerInterval` (appears to be 5-10 min based on code)\n- **Operation:** Monitors memory usage, force-frees buffers if exceeding cap\n- **Type:** Duration-based ticker\n- **Details:**\n  - Checks `runtime.MemStats.Alloc`\n  - Force-frees buffers if memory cap exceeded\n  - Calls `debug.FreeOSMemory()` to return memory to OS\n  - Does NOT write to SQLite\n\n---\n\n### **ARCHIVER BACKGROUND WORKER**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go`\n\n**Initialization:** `main.go` line 373:\n```go\narchiver.Start(repository.GetJobRepository(), ctx)\n```\n\n#### **Archiving Worker (archiveWorker.go:110)**\n- **Frequency:** On-demand (triggered by `TriggerArchiving()` calls)\n- **DB Operations:**\n  - `jobRepo.FetchMetadata(job)` - read\n  - `ArchiveJob(job, ctx)` - archive to external storage\n  - `jobRepo.UpdateFootprint(stmt, jobMeta)` - **writes**\n  - `jobRepo.UpdateEnergy(stmt, jobMeta)` - **writes**\n  - `jobRepo.MarkArchived(stmt, status)` - **writes**\n  - `jobRepo.Execute(stmt)` - executes composite update\n- **Type:** Channel-based consumer (buffered channel, capacity 128)\n- **Batching:** Single UPDATE statement with multiple SET clauses\n- **Trigger Points:**\n  - Called when job stops (via REST API `/api/jobs/stop_job/`)\n  - Called when job stops via NATS API\n- **Details:**\n  - Processes archiving asynchronously\n  - Uses `sync.WaitGroup` for graceful shutdown\n  - Updates job statistics (footprint, energy, monitoring status) atomically\n  - Calls job stop hooks after successful archiving\n\n---\n\n### **REST API ENDPOINTS THAT WRITE TO DATABASE**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/`\n\n#### **Job Start Endpoint** (`job.go:717`)\n- **Path:** `POST/PUT /api/jobs/start_job/`\n- **DB Operations:**\n  - `jobRepo.FindAll()` - check for duplicates (read)\n  - `jobRepo.StartDirect()` or `jobRepo.Start()` - **inserts new job**\n  - `jobRepo.AddTagOrCreate()` - **adds tags** (if provided)\n- **Concurrency:** Uses `RepositoryMutex` to prevent race conditions on duplicate checks\n- **Batching:** Individual calls, not explicitly batched\n- **Async:** Tag addition is async (after response)\n\n#### **Job Stop Endpoint** (`job.go:805`)\n- **Path:** `POST/PUT /api/jobs/stop_job/`\n- **DB Operations:**\n  - `jobRepo.FindCached()` or `jobRepo.Find()` - read\n  - `checkAndHandleStopJob()` - updates job state (line 1000+)\n  - Triggers `archiver.TriggerArchiving()` - queues async archiving\n- **Details:** Moves job to stopped state, triggers async archiving\n\n#### **Update Node States Endpoint** (`node.go:71`)\n- **Path:** `POST/PUT /api/nodestate/`\n- **DB Operations:**\n  - `nodeRepo.InsertNodeStateBegin()` - **starts transaction**\n  - `nodeRepo.InsertNodeState()` - **inserts node states** (batched per subcluster)\n  - `nodeRepo.InsertNodeStateEnd()` - **commits transaction**\n- **Batching:** Per-subcluster transactions\n- **Details:** Updates node allocation/state information\n\n#### **Tag Job Endpoint** (`job.go:545`)\n- **Path:** `POST/PATCH /api/jobs/tag_job/{id}`\n- **DB Operations:** `jobRepo.AddTagOrCreate()` - **inserts/creates tags**\n- **Batching:** No explicit batching\n\n#### **Remove Tag Endpoint** (`job.go:609`)\n- **Path:** `DELETE /api/jobs/tag_job/{id}`\n- **DB Operations:** Tag removal operations\n- **Batching:** No explicit batching\n\n#### **Delete Job Endpoints** (`job.go:852, 897, 950`)\n- **Paths:** \n  - `DELETE /api/jobs/delete_job/{id}`\n  - `DELETE /api/jobs/delete_job/`\n  - `DELETE /api/jobs/delete_job_before/{ts}`\n- **DB Operations:** `jobRepo.Delete*()` functions\n- **Details:** Remove jobs from database\n\n#### **Edit Meta Endpoint** (`job.go`)\n- **Path:** `PATCH /api/jobs/edit_meta/{id}`\n- **DB Operations:** Updates job metadata\n- **Details:** User-facing metadata updates\n\n---\n\n### **NATS API SUBSCRIPTIONS** (Alternative to REST)\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go`\n\n**Initialization:** `server.go:282-287` - conditionally started if `config.Keys.APISubjects` configured\n\n#### **Job Event Subscription** (`nats.go:146`)\n- **Subject:** `config.Keys.APISubjects.SubjectJobEvent` (e.g., \"cc.job.event\")\n- **Message Format:** InfluxDB line protocol with JSON payload\n- **Operations:** Same as REST endpoints (start_job, stop_job)\n- **Concurrency Control:** Uses semaphore (`jobSem` buffer of 8) to limit concurrent processing\n- **Details:** Asynchronous job processing via NATS messages\n\n#### **Node State Subscription** (`nats.go`)\n- **Subject:** `config.Keys.APISubjects.SubjectNodeState` (e.g., \"cc.node.state\")\n- **Operations:** Same as REST node state updates\n- **Concurrency Control:** Uses semaphore (`nodeSem` buffer of 2)\n\n---\n\n### **INITIALIZATION AND SHUTDOWN FLOW**\n\n**Main Startup Sequence:** (`main.go` lines 343-374)\n1. `metricstore.Init()` - starts 5 background workers\n2. `archiver.Start()` - starts archiving worker goroutine\n3. `taskmanager.Start()` - starts gocron scheduler with 11 periodic tasks\n\n**Graceful Shutdown Sequence:** (`server.go:418-441`)\n1. Server shutdown (30s timeout)\n2. NATS client close\n3. `metricstore.Shutdown()` - cancels metric worker contexts\n4. `archiver.Shutdown(10s)` - waits for pending archiving jobs with timeout\n5. `taskmanager.Shutdown()` - stops gocron scheduler\n\n---\n\n### **TRANSACTION/BATCHING SUMMARY**\n\n| Component | Uses Transactions | Batching Strategy |\n|-----------|-------------------|-------------------|\n| Footprint Worker | YES (per-cluster) | Builds update statements, executes in transaction |\n| Node State Updates | YES (per-subcluster) | `InsertNodeStateBegin/End` wrapper |\n| Job Start | NO | Individual insert (has mutex for duplicate prevention) |\n| Job Stop | NO | Async archiving triggered separately |\n| Retention Delete | Implicit | `DeleteJobsBefore()` handles batching |\n| Stop Jobs Exceed | Implicit | `StopJobsExceedingWalltimeBy()` batches |\n| Archiver | NO | Single UPDATE statement with multiple SET clauses |\n| LDAP Sync | Dependent | Implementation in auth package |\n| Node State Retention | Implicit | `DeleteNodeStatesBefore()` batches |\n\n---\n\n### **FILE LOCATIONS SUMMARY**\n\n**Critical Files:**\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/` - 11 periodic task definitions\n- `/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go` - 5 background workers\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go` - async archiving\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/rest.go` - REST route registration\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go` - NATS subscriptions\n- `/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go` - initialization sequence\n- `/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/server.go` - shutdown sequence"},{"type":"text","text":"agentId: a5a9b60b3b5a2afcf (for resuming to continue this agent's work if needed)\n<usage>total_tokens: 74431\ntool_uses: 31\nduration_ms: 85216</usage>"}]}]},"uuid":"7db18647-1759-41ac-94c1-d055b54e49db","timestamp":"2026-03-16T10:20:09.320Z","toolUseResult":{"status":"completed","prompt":"Explore the cc-backend codebase to find all periodic/scheduled tasks and background goroutines that write to the SQLite database. Look for:\n\n1. Goroutines started with `go func()` that do DB writes\n2. Ticker/timer-based loops that write to the DB\n3. Archiving operations that write to the DB\n4. Retention/cleanup operations\n5. Any cron-like scheduled operations\n\nSearch in:\n- cmd/cc-backend/ (main entry point, initialization)\n- internal/archiver/\n- internal/taskmanager/ or similar\n- internal/repository/\n- Any file with \"schedule\", \"ticker\", \"cron\", \"periodic\", \"retention\", \"cleanup\" patterns\n\nFor each, note the frequency, what DB operations it performs, and whether those operations are already batched/transacted.\n\nAlso look at the REST API file internal/api/rest.go to understand all registered routes and which ones do DB writes.","agentId":"a5a9b60b3b5a2afcf","content":[{"type":"text","text":"Perfect! Now I have gathered comprehensive information. Let me create a detailed summary of all the findings.\n\n## Summary Report: Periodic/Scheduled Tasks and Background Goroutines in cc-backend\n\nI've completed a comprehensive exploration of the cc-backend codebase to identify all periodic/scheduled tasks and background goroutines that write to SQLite. Here's the complete findings:\n\n---\n\n### **TASK MANAGER (gocron-based scheduler)**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/`\n\nThe main scheduler is initialized in `main.go` line 374:\n```go\ntaskmanager.Start(ccconf.GetPackageConfig(\"cron\"), ccconf.GetPackageConfig(\"archive\"))\n```\n\n#### **1. Commit Job Service (commitJobService.go)**\n- **Frequency:** Default 2 minutes (configurable via `commit-job-worker`)\n- **DB Operation:** `jobRepo.SyncJobs()` + callback hooks\n- **Type:** Duration-based job (gocron.DurationJob)\n- **Batching:** Handled via SyncJobs() call\n- **Details:** Syncs job cache and triggers job start hooks\n\n#### **2. Update Duration Worker (updateDurationService.go)**\n- **Frequency:** Default 5 minutes (configurable via `duration-worker`)\n- **DB Operation:** `jobRepo.UpdateDuration()`\n- **Type:** Duration-based job\n- **Batching:** Single call, likely batches updates internally\n- **Details:** Updates job duration fields in DB\n\n#### **3. Footprint Update Worker (updateFootprintService.go)**\n- **Frequency:** Default 10 minutes (configurable via `footprint-worker`)\n- **DB Operation:** Multiple per-cluster database updates using transactions\n  - Uses `jobRepo.TransactionInit()`, `jobRepo.TransactionAdd()`, `jobRepo.TransactionEnd()`\n  - Updates job statistics (avg/min/max) for running jobs\n- **Batching:** Proper transaction batching per cluster\n- **Details:** \n  - Iterates through all clusters and running jobs\n  - Loads metrics from metric stores\n  - Builds UPDATE statements and batches them per cluster\n  - Uses transactions to apply all updates atomically\n\n#### **4. Stop Jobs Exceeding Walltime (stopJobsExceedTime.go)**\n- **Frequency:** Daily at 3:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.StopJobsExceedingWalltimeBy(duration)` + GC\n- **Type:** Daily job (gocron.DailyJob)\n- **Batching:** Handled internally by repository function\n- **Conditional:** Only runs if `config.Keys.StopJobsExceedingWalltime > 0`\n\n#### **5. Retention Delete Service (retentionService.go)**\n- **Frequency:** Daily at 3:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.FindJobsBetween()` + `jobRepo.DeleteJobsBefore()` + `jobRepo.Optimize()`\n- **Type:** Daily job\n- **Batching:** Deletes are batched via `DeleteJobsBefore()`\n- **Conditional:** Only if retention policy = \"delete\"\n- **Details:** Deletes archived jobs older than configured age\n\n#### **6. Retention Copy Service (retentionService.go)**\n- **Frequency:** Daily at 4:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.FindJobsBetween()` (no DB writes, only archive operations)\n- **Type:** Daily job\n- **Conditional:** Only if retention policy = \"copy\"\n- **Details:** Copies jobs to secondary backend without DB deletions\n\n#### **7. Retention Move Service (retentionService.go)**\n- **Frequency:** Daily at 5:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.FindJobsBetween()` + `jobRepo.DeleteJobsBefore()` + `jobRepo.Optimize()`\n- **Type:** Daily job\n- **Batching:** Deletes are batched\n- **Conditional:** Only if retention policy = \"move\"\n- **Details:** Moves jobs to secondary backend then deletes from DB\n\n#### **8. Compression Service (compressionService.go)**\n- **Frequency:** Daily at 5:00 AM (hardcoded, conflicts with move service)\n- **DB Operation:** `jobRepo.FindJobsBetween()` (no DB writes, only archive compression)\n- **Type:** Daily job\n- **Details:** Compresses old archived jobs\n- **Always enabled:** Even without explicit retention config\n\n#### **9. LDAP Sync Service (ldapSyncService.go)**\n- **Frequency:** Configurable via `LdapConfig.SyncInterval`\n- **DB Operation:** `auth.LdapAuth.Sync()` (user table updates, not job-related)\n- **Type:** Duration-based job\n- **Conditional:** Only if LDAP is configured\n\n#### **10. Node State Retention Delete Service (nodestateRetentionService.go)**\n- **Frequency:** Daily at 2:00 AM (hardcoded)\n- **DB Operation:** `nodeRepo.DeleteNodeStatesBefore(cutoff)`\n- **Type:** Daily job\n- **Conditional:** Only if `config.Keys.NodeStateRetention.Policy == \"delete\"`\n- **Details:** Deletes node state records older than configured age (default 24 hours)\n\n#### **11. Node State Retention Move Service (nodestateRetentionService.go)**\n- **Frequency:** Daily at 2:30 AM (hardcoded)\n- **DB Operation:** `nodeRepo.FindNodeStatesBefore()` + `nodeRepo.DeleteNodeStatesBefore()`\n- **Type:** Daily job\n- **Conditional:** Only if `config.Keys.NodeStateRetention.Policy == \"move\"`\n- **Details:** Archives node states to Parquet then deletes from DB\n\n---\n\n### **METRIC STORE BACKGROUND WORKERS**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/`\n\nInitialized in `main.go` line 343:\n```go\nmetricstore.Init(mscfg, metrics, &wg)\n```\n\nThese goroutines run concurrently and handle metric data persistence. **Note: These do NOT directly write to the SQLite job/node database, but they handle metric checkpoint persistence to disk.**\n\n#### **1. Checkpointing Worker (checkpoint.go:94)**\n- **Frequency:** 12 hours (default, configurable via `checkpoint-interval`)\n- **Operation:** Periodic metric data checkpoints to JSON or binary WAL format\n- **Type:** Duration-based ticker\n- **Details:**\n  - Saves in-memory metric buffers to disk\n  - Two formats: JSON (human-readable) or WAL+binary (crash-safe)\n  - Uses worker pool with `Keys.NumWorkers` (default: min(CPU/2+1, 10))\n  - Rotates WAL files after successful checkpoint\n\n#### **2. WAL Staging Worker (walCheckpoint.go:118)**\n- **Frequency:** Continuous (processes messages from channel)\n- **Operation:** Writes individual metric entries to write-ahead logs\n- **Type:** Channel-based message processor\n- **Details:**\n  - Processes `WALMessages` channel (from line protocol ingestion)\n  - Writes binary WAL records to per-host WAL files\n  - Manages file handles for efficient buffering\n  - Handles WAL rotation on command\n\n#### **3. Retention Worker (metricstore.go:320)**\n- **Frequency:** Half of `Keys.RetentionInMemory` interval\n- **Operation:** Frees in-memory metric buffers older than retention period\n- **Type:** Duration-based ticker\n- **Details:**\n  - Calls `Free(ms, t)` to remove old data from memory\n  - Cleans buffer pool with `bufferPool.Clean()`\n  - Does NOT write to SQLite, only memory management\n\n#### **4. Cleanup Worker (archive.go:23)**\n- **Frequency:** `Keys.RetentionInMemory` interval\n- **Operation:** Either archives or deletes old checkpoint files\n- **Type:** Duration-based ticker\n- **Modes:** \n  - \"archive\": Moves old checkpoint files to Parquet format\n  - \"delete\": Deletes old checkpoint files\n- **Details:**\n  - Uses worker pool for parallel processing\n  - Supports both local filesystem and S3 targets\n  - Runs daily cleanup job\n\n#### **5. Memory Usage Tracker (metricstore.go:383)**\n- **Frequency:** `DefaultMemoryUsageTrackerInterval` (appears to be 5-10 min based on code)\n- **Operation:** Monitors memory usage, force-frees buffers if exceeding cap\n- **Type:** Duration-based ticker\n- **Details:**\n  - Checks `runtime.MemStats.Alloc`\n  - Force-frees buffers if memory cap exceeded\n  - Calls `debug.FreeOSMemory()` to return memory to OS\n  - Does NOT write to SQLite\n\n---\n\n### **ARCHIVER BACKGROUND WORKER**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go`\n\n**Initialization:** `main.go` line 373:\n```go\narchiver.Start(repository.GetJobRepository(), ctx)\n```\n\n#### **Archiving Worker (archiveWorker.go:110)**\n- **Frequency:** On-demand (triggered by `TriggerArchiving()` calls)\n- **DB Operations:**\n  - `jobRepo.FetchMetadata(job)` - read\n  - `ArchiveJob(job, ctx)` - archive to external storage\n  - `jobRepo.UpdateFootprint(stmt, jobMeta)` - **writes**\n  - `jobRepo.UpdateEnergy(stmt, jobMeta)` - **writes**\n  - `jobRepo.MarkArchived(stmt, status)` - **writes**\n  - `jobRepo.Execute(stmt)` - executes composite update\n- **Type:** Channel-based consumer (buffered channel, capacity 128)\n- **Batching:** Single UPDATE statement with multiple SET clauses\n- **Trigger Points:**\n  - Called when job stops (via REST API `/api/jobs/stop_job/`)\n  - Called when job stops via NATS API\n- **Details:**\n  - Processes archiving asynchronously\n  - Uses `sync.WaitGroup` for graceful shutdown\n  - Updates job statistics (footprint, energy, monitoring status) atomically\n  - Calls job stop hooks after successful archiving\n\n---\n\n### **REST API ENDPOINTS THAT WRITE TO DATABASE**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/`\n\n#### **Job Start Endpoint** (`job.go:717`)\n- **Path:** `POST/PUT /api/jobs/start_job/`\n- **DB Operations:**\n  - `jobRepo.FindAll()` - check for duplicates (read)\n  - `jobRepo.StartDirect()` or `jobRepo.Start()` - **inserts new job**\n  - `jobRepo.AddTagOrCreate()` - **adds tags** (if provided)\n- **Concurrency:** Uses `RepositoryMutex` to prevent race conditions on duplicate checks\n- **Batching:** Individual calls, not explicitly batched\n- **Async:** Tag addition is async (after response)\n\n#### **Job Stop Endpoint** (`job.go:805`)\n- **Path:** `POST/PUT /api/jobs/stop_job/`\n- **DB Operations:**\n  - `jobRepo.FindCached()` or `jobRepo.Find()` - read\n  - `checkAndHandleStopJob()` - updates job state (line 1000+)\n  - Triggers `archiver.TriggerArchiving()` - queues async archiving\n- **Details:** Moves job to stopped state, triggers async archiving\n\n#### **Update Node States Endpoint** (`node.go:71`)\n- **Path:** `POST/PUT /api/nodestate/`\n- **DB Operations:**\n  - `nodeRepo.InsertNodeStateBegin()` - **starts transaction**\n  - `nodeRepo.InsertNodeState()` - **inserts node states** (batched per subcluster)\n  - `nodeRepo.InsertNodeStateEnd()` - **commits transaction**\n- **Batching:** Per-subcluster transactions\n- **Details:** Updates node allocation/state information\n\n#### **Tag Job Endpoint** (`job.go:545`)\n- **Path:** `POST/PATCH /api/jobs/tag_job/{id}`\n- **DB Operations:** `jobRepo.AddTagOrCreate()` - **inserts/creates tags**\n- **Batching:** No explicit batching\n\n#### **Remove Tag Endpoint** (`job.go:609`)\n- **Path:** `DELETE /api/jobs/tag_job/{id}`\n- **DB Operations:** Tag removal operations\n- **Batching:** No explicit batching\n\n#### **Delete Job Endpoints** (`job.go:852, 897, 950`)\n- **Paths:** \n  - `DELETE /api/jobs/delete_job/{id}`\n  - `DELETE /api/jobs/delete_job/`\n  - `DELETE /api/jobs/delete_job_before/{ts}`\n- **DB Operations:** `jobRepo.Delete*()` functions\n- **Details:** Remove jobs from database\n\n#### **Edit Meta Endpoint** (`job.go`)\n- **Path:** `PATCH /api/jobs/edit_meta/{id}`\n- **DB Operations:** Updates job metadata\n- **Details:** User-facing metadata updates\n\n---\n\n### **NATS API SUBSCRIPTIONS** (Alternative to REST)\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go`\n\n**Initialization:** `server.go:282-287` - conditionally started if `config.Keys.APISubjects` configured\n\n#### **Job Event Subscription** (`nats.go:146`)\n- **Subject:** `config.Keys.APISubjects.SubjectJobEvent` (e.g., \"cc.job.event\")\n- **Message Format:** InfluxDB line protocol with JSON payload\n- **Operations:** Same as REST endpoints (start_job, stop_job)\n- **Concurrency Control:** Uses semaphore (`jobSem` buffer of 8) to limit concurrent processing\n- **Details:** Asynchronous job processing via NATS messages\n\n#### **Node State Subscription** (`nats.go`)\n- **Subject:** `config.Keys.APISubjects.SubjectNodeState` (e.g., \"cc.node.state\")\n- **Operations:** Same as REST node state updates\n- **Concurrency Control:** Uses semaphore (`nodeSem` buffer of 2)\n\n---\n\n### **INITIALIZATION AND SHUTDOWN FLOW**\n\n**Main Startup Sequence:** (`main.go` lines 343-374)\n1. `metricstore.Init()` - starts 5 background workers\n2. `archiver.Start()` - starts archiving worker goroutine\n3. `taskmanager.Start()` - starts gocron scheduler with 11 periodic tasks\n\n**Graceful Shutdown Sequence:** (`server.go:418-441`)\n1. Server shutdown (30s timeout)\n2. NATS client close\n3. `metricstore.Shutdown()` - cancels metric worker contexts\n4. `archiver.Shutdown(10s)` - waits for pending archiving jobs with timeout\n5. `taskmanager.Shutdown()` - stops gocron scheduler\n\n---\n\n### **TRANSACTION/BATCHING SUMMARY**\n\n| Component | Uses Transactions | Batching Strategy |\n|-----------|-------------------|-------------------|\n| Footprint Worker | YES (per-cluster) | Builds update statements, executes in transaction |\n| Node State Updates | YES (per-subcluster) | `InsertNodeStateBegin/End` wrapper |\n| Job Start | NO | Individual insert (has mutex for duplicate prevention) |\n| Job Stop | NO | Async archiving triggered separately |\n| Retention Delete | Implicit | `DeleteJobsBefore()` handles batching |\n| Stop Jobs Exceed | Implicit | `StopJobsExceedingWalltimeBy()` batches |\n| Archiver | NO | Single UPDATE statement with multiple SET clauses |\n| LDAP Sync | Dependent | Implementation in auth package |\n| Node State Retention | Implicit | `DeleteNodeStatesBefore()` batches |\n\n---\n\n### **FILE LOCATIONS SUMMARY**\n\n**Critical Files:**\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/` - 11 periodic task definitions\n- `/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go` - 5 background workers\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go` - async archiving\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/rest.go` - REST route registration\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go` - NATS subscriptions\n- `/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go` - initialization sequence\n- `/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/server.go` - shutdown sequence"}],"totalDurationMs":85216,"totalTokens":74431,"totalToolUseCount":31,"usage":{"input_tokens":0,"cache_creation_input_tokens":2249,"cache_read_input_tokens":67937,"output_tokens":4245,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":2249},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"f0935097-6b79-44e4-81d4-4ce525f0f4f3","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"31a6461a-2879-4aad-914b-acdc223c3944","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01UciAyMdYFRwbswUMPwitfW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NPCSF89CyztSbhAD6AQGZK","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":14662,"cache_read_input_tokens":79778,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":14662},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6bCoSb5mSW7BQj8rUfE","type":"assistant","uuid":"f7a0639e-a4dc-4206-a497-ea38bbed526d","timestamp":"2026-03-16T10:20:15.643Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"f7a0639e-a4dc-4206-a497-ea38bbed526d","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01NPCSF89CyztSbhAD6AQGZK","toolUseID":"toolu_01NPCSF89CyztSbhAD6AQGZK","timestamp":"2026-03-16T10:20:15.650Z","uuid":"b483e11b-ea24-4887-9f59-9b70bc1863e6","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"f7a0639e-a4dc-4206-a497-ea38bbed526d","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NPCSF89CyztSbhAD6AQGZK","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package repository provides data access and persistence layer for ClusterCockpit.\n     7→//\n     8→// This file implements tag management functionality for job categorization and classification.\n     9→// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n    10→// (via tagger plugins). The implementation includes role-based access control through\n    11→// tag scopes and maintains bidirectional consistency between the SQL database and\n    12→// the file-based job archive.\n    13→//\n    14→// Database Schema:\n    15→//\n    16→//\tCREATE TABLE tag (\n    17→//\t    id INTEGER PRIMARY KEY AUTOINCREMENT,\n    18→//\t    tag_type VARCHAR(255) NOT NULL,\n    19→//\t    tag_name VARCHAR(255) NOT NULL,\n    20→//\t    tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n    21→//\t    CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n    22→//\t);\n    23→//\n    24→//\tCREATE TABLE jobtag (\n    25→//\t    job_id INTEGER,\n    26→//\t    tag_id INTEGER,\n    27→//\t    PRIMARY KEY (job_id, tag_id),\n    28→//\t    FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n    29→//\t    FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n    30→//\t);\n    31→//\n    32→// The jobtag junction table enables many-to-many relationships between jobs and tags.\n    33→// CASCADE deletion ensures referential integrity when jobs or tags are removed.\n    34→package repository\n    35→\n    36→import (\n    37→\t\"errors\"\n    38→\t\"fmt\"\n    39→\t\"strings\"\n    40→\n    41→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    42→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    43→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    44→\tsq \"github.com/Masterminds/squirrel\"\n    45→)\n    46→\n    47→// Tag Scope Rules:\n    48→//\n    49→// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n    50→//\n    51→//  1. \"global\" - Visible to all users, can be used by anyone\n    52→//     Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n    53→//\n    54→//  2. \"private\" - Only visible to the creating user\n    55→//     Example: Personal notes like \"needs-review\", \"interesting-case\"\n    56→//\n    57→//  3. \"admin\" - Only visible to users with admin or support roles\n    58→//     Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n    59→//\n    60→// Authorization Rules:\n    61→//   - Regular users can only create/see \"global\" and their own \"private\" tags\n    62→//   - Admin/Support can create/see all scopes including \"admin\" tags\n    63→//   - Users can only add tags to jobs they have permission to view\n    64→//   - Tag scope is enforced at query time in GetTags() and CountTags()\n    65→\n    66→// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n    67→// Requires user authentication for security checks.\n    68→//\n    69→// The user must have permission to view the job. Tag visibility is determined by scope:\n    70→//   - \"global\" tags: visible to all users\n    71→//   - \"private\" tags: only visible to the tag creator\n    72→//   - \"admin\" tags: only visible to admin/support users\n    73→func (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n    74→\tj, err := r.FindByIDWithUser(user, job)\n    75→\tif err != nil {\n    76→\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n    77→\t\treturn nil, err\n    78→\t}\n    79→\n    80→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n    81→\t\treturn r.GetTags(user, &job)\n    82→\t})\n    83→}\n    84→\n    85→// AddTagDirect adds a tag without user security checks.\n    86→// Use only for internal/admin operations.\n    87→func (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n    88→\tj, err := r.FindByIDDirect(job)\n    89→\tif err != nil {\n    90→\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n    91→\t\treturn nil, err\n    92→\t}\n    93→\n    94→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n    95→\t\treturn r.GetTagsDirect(&job)\n    96→\t})\n    97→}\n    98→\n    99→// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n   100→// Requires user authentication for security checks. Used by GraphQL API.\n   101→func (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n   102→\tj, err := r.FindByIDWithUser(user, job)\n   103→\tif err != nil {\n   104→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n   105→\t\treturn nil, err\n   106→\t}\n   107→\n   108→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n   109→\n   110→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   111→\t\ts, _, _ := q.ToSql()\n   112→\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n   113→\t\treturn nil, err\n   114→\t}\n   115→\n   116→\ttags, err := r.GetTags(user, &job)\n   117→\tif err != nil {\n   118→\t\tcclog.Warn(\"Error while getting tags for job\")\n   119→\t\treturn nil, err\n   120→\t}\n   121→\n   122→\tarchiveTags, err := r.getArchiveTags(&job)\n   123→\tif err != nil {\n   124→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n   125→\t\treturn nil, err\n   126→\t}\n   127→\n   128→\treturn tags, archive.UpdateTags(j, archiveTags)\n   129→}\n   130→\n   131→// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n   132→// Requires user authentication for security checks. Used by REST API.\n   133→func (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n   134→\t// Get Tag ID to delete\n   135→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   136→\tif !exists {\n   137→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   138→\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   139→\t}\n   140→\n   141→\t// Get Job\n   142→\tj, err := r.FindByIDWithUser(user, job)\n   143→\tif err != nil {\n   144→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n   145→\t\treturn nil, err\n   146→\t}\n   147→\n   148→\t// Handle Delete\n   149→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n   150→\n   151→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   152→\t\ts, _, _ := q.ToSql()\n   153→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n   154→\t\treturn nil, err\n   155→\t}\n   156→\n   157→\ttags, err := r.GetTags(user, &job)\n   158→\tif err != nil {\n   159→\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n   160→\t\treturn nil, err\n   161→\t}\n   162→\n   163→\tarchiveTags, err := r.getArchiveTags(&job)\n   164→\tif err != nil {\n   165→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n   166→\t\treturn nil, err\n   167→\t}\n   168→\n   169→\treturn tags, archive.UpdateTags(j, archiveTags)\n   170→}\n   171→\n   172→// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n   173→//\n   174→// This function is called asynchronously (via goroutine) after removing a tag from the database\n   175→// to synchronize the file-based job archive with the database state. Errors are logged but not\n   176→// returned since this runs in the background.\n   177→//\n   178→// Parameters:\n   179→//   - jobIds: Database IDs of all jobs that had the deleted tag\n   180→//\n   181→// Implementation note: Each job is processed individually to handle partial failures gracefully.\n   182→// If one job fails to update, others will still be processed.\n   183→func (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n   184→\tfor _, j := range jobIds {\n   185→\t\ttags, err := r.getArchiveTags(&j)\n   186→\t\tif err != nil {\n   187→\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n   188→\t\t\tcontinue\n   189→\t\t}\n   190→\n   191→\t\tjob, err := r.FindByIDDirect(j)\n   192→\t\tif err != nil {\n   193→\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n   194→\t\t\tcontinue\n   195→\t\t}\n   196→\n   197→\t\tarchive.UpdateTags(job, tags)\n   198→\t}\n   199→}\n   200→\n   201→// Removes a tag from db by tag info\n   202→// Used by REST API. Does not update tagged jobs in Job archive.\n   203→func (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n   204→\t// Get Tag ID to delete\n   205→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   206→\tif !exists {\n   207→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   208→\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   209→\t}\n   210→\n   211→\treturn r.RemoveTagByID(tagID)\n   212→}\n   213→\n   214→// Removes a tag from db by tag id\n   215→// Used by GraphQL API.\n   216→func (r *JobRepository) RemoveTagByID(tagID int64) error {\n   217→\tjobIds, err := r.FindJobIdsByTag(tagID)\n   218→\tif err != nil {\n   219→\t\treturn err\n   220→\t}\n   221→\n   222→\t// Handle Delete JobTagTable\n   223→\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n   224→\n   225→\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n   226→\t\ts, _, _ := qJobTag.ToSql()\n   227→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n   228→\t\treturn err\n   229→\t}\n   230→\n   231→\t// Handle Delete TagTable\n   232→\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n   233→\n   234→\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n   235→\t\ts, _, _ := qTag.ToSql()\n   236→\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n   237→\t\treturn err\n   238→\t}\n   239→\n   240→\t// asynchronously update archive jobs\n   241→\tgo r.removeTagFromArchiveJobs(jobIds)\n   242→\n   243→\treturn nil\n   244→}\n   245→\n   246→// CreateTag creates a new tag with the specified type, name, and scope.\n   247→// Returns the database ID of the newly created tag.\n   248→//\n   249→// Scope defaults to \"global\" if empty string is provided.\n   250→// Valid scopes: \"global\", \"private\", \"admin\"\n   251→//\n   252→// Example:\n   253→//\n   254→//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\n   255→func (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n   256→\t// Default to \"Global\" scope if none defined\n   257→\tif tagScope == \"\" {\n   258→\t\ttagScope = \"global\"\n   259→\t}\n   260→\n   261→\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n   262→\n   263→\tres, err := q.RunWith(r.stmtCache).Exec()\n   264→\tif err != nil {\n   265→\t\ts, _, _ := q.ToSql()\n   266→\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n   267→\t\treturn 0, err\n   268→\t}\n   269→\n   270→\treturn res.LastInsertId()\n   271→}\n   272→\n   273→// CountTags returns all tags visible to the user and the count of jobs for each tag.\n   274→// Applies scope-based filtering to respect tag visibility rules.\n   275→//\n   276→// Returns:\n   277→//   - tags: slice of tags the user can see\n   278→//   - counts: map of tag name to job count\n   279→//   - err: any error encountered\n   280→func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n   281→\ttags = make([]schema.Tag, 0, 100)\n   282→\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n   283→\tif err != nil {\n   284→\t\treturn nil, nil, err\n   285→\t}\n   286→\tdefer xrows.Close()\n   287→\n   288→\tfor xrows.Next() {\n   289→\t\tvar t schema.Tag\n   290→\t\tif err = xrows.StructScan(&t); err != nil {\n   291→\t\t\treturn nil, nil, err\n   292→\t\t}\n   293→\n   294→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n   295→\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n   296→\t\tif err != nil {\n   297→\t\t\treturn nil, nil, err\n   298→\t\t}\n   299→\t\tif readable {\n   300→\t\t\ttags = append(tags, t)\n   301→\t\t}\n   302→\t}\n   303→\n   304→\tif err := xrows.Err(); err != nil {\n   305→\t\treturn nil, nil, err\n   306→\t}\n   307→\n   308→\t// Query and Count Jobs with attached Tags\n   309→\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n   310→\t\tFrom(\"tag t\").\n   311→\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n   312→\t\tGroupBy(\"t.tag_type, t.tag_name\")\n   313→\n   314→\t// Build scope list for filtering\n   315→\tvar scopeBuilder strings.Builder\n   316→\tscopeBuilder.WriteString(`\"global\"`)\n   317→\tif user != nil {\n   318→\t\tscopeBuilder.WriteString(`,\"`)\n   319→\t\tscopeBuilder.WriteString(user.Username)\n   320→\t\tscopeBuilder.WriteString(`\"`)\n   321→\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n   322→\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n   323→\t\t}\n   324→\t}\n   325→\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n   326→\n   327→\t// Handle Job Ownership\n   328→\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n   329→\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n   330→\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n   331→\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n   332→\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n   333→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n   334→\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n   335→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n   336→\t}\n   337→\n   338→\trows, err := q.RunWith(r.stmtCache).Query()\n   339→\tif err != nil {\n   340→\t\treturn nil, nil, err\n   341→\t}\n   342→\tdefer rows.Close()\n   343→\n   344→\tcounts = make(map[string]int)\n   345→\tfor rows.Next() {\n   346→\t\tvar tagType string\n   347→\t\tvar tagName string\n   348→\t\tvar tagID int\n   349→\t\tvar count int\n   350→\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n   351→\t\t\treturn nil, nil, err\n   352→\t\t}\n   353→\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n   354→\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n   355→\t}\n   356→\terr = rows.Err()\n   357→\n   358→\treturn tags, counts, err\n   359→}\n   360→\n   361→var (\n   362→\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n   363→\tErrTagNotFound = errors.New(\"the tag does not exist\")\n   364→\n   365→\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n   366→\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n   367→\n   368→\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n   369→\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n   370→\n   371→\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n   372→\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n   373→\n   374→\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n   375→\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n   376→\n   377→\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n   378→\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n   379→)\n   380→\n   381→// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n   382→//\n   383→// This function performs three operations atomically:\n   384→//  1. Inserts the job-tag association into the jobtag junction table\n   385→//  2. Retrieves the updated tag list for the job (using the provided getTags callback)\n   386→//  3. Updates the job archive with the new tags to maintain database-archive consistency\n   387→//\n   388→// Parameters:\n   389→//   - jobId: Database ID of the job\n   390→//   - tagId: Database ID of the tag to associate\n   391→//   - job: Full job object needed for archive update\n   392→//   - getTags: Callback function to retrieve updated tags (allows different security contexts)\n   393→//\n   394→// Returns the complete updated tag list for the job or an error.\n   395→//\n   396→// Note: This function does NOT validate tag scope permissions - callers must perform\n   397→// authorization checks before invoking this helper.\n   398→func (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n   399→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n   400→\n   401→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   402→\t\ts, _, _ := q.ToSql()\n   403→\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n   404→\t\treturn nil, err\n   405→\t}\n   406→\n   407→\ttags, err := getTags()\n   408→\tif err != nil {\n   409→\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n   410→\t\treturn nil, err\n   411→\t}\n   412→\n   413→\tarchiveTags, err := r.getArchiveTags(&jobID)\n   414→\tif err != nil {\n   415→\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n   416→\t\treturn nil, err\n   417→\t}\n   418→\n   419→\treturn tags, archive.UpdateTags(job, archiveTags)\n   420→}\n   421→\n   422→// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n   423→// If such a tag does not yet exist, it is created.\n   424→func (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n   425→\t// Default to \"Global\" scope if none defined\n   426→\tif tagScope == \"\" {\n   427→\t\ttagScope = \"global\"\n   428→\t}\n   429→\n   430→\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n   431→\tif err != nil {\n   432→\t\treturn 0, err\n   433→\t}\n   434→\tif !writable {\n   435→\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n   436→\t}\n   437→\n   438→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   439→\tif !exists {\n   440→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n   441→\t\tif err != nil {\n   442→\t\t\treturn 0, err\n   443→\t\t}\n   444→\t}\n   445→\n   446→\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n   447→\t\treturn 0, err\n   448→\t}\n   449→\n   450→\treturn tagID, nil\n   451→}\n   452→\n   453→func (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n   454→\ttagScope := \"global\"\n   455→\n   456→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   457→\tif !exists {\n   458→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n   459→\t\tif err != nil {\n   460→\t\t\treturn 0, err\n   461→\t\t}\n   462→\t}\n   463→\n   464→\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n   465→\n   466→\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n   467→\t\treturn 0, err\n   468→\t}\n   469→\n   470→\treturn tagID, nil\n   471→}\n   472→\n   473→func (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n   474→\tvar id int64\n   475→\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n   476→\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n   477→\t\tWhere(\"tag.tag_name = ?\", tagName)\n   478→\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n   479→\tif err != nil {\n   480→\t\treturn false\n   481→\t} else {\n   482→\t\treturn true\n   483→\t}\n   484→}\n   485→\n   486→// TagID returns the database id of the tag with the specified type and name.\n   487→func (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n   488→\texists = true\n   489→\tif err := sq.Select(\"id\").From(\"tag\").\n   490→\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n   491→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n   492→\t\texists = false\n   493→\t}\n   494→\treturn\n   495→}\n   496→\n   497→// TagInfo returns the database infos of the tag with the specified id.\n   498→func (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n   499→\texists = true\n   500→\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n   501→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n   502→\t\texists = false\n   503→\t}\n   504→\treturn\n   505→}\n   506→\n   507→// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\n   508→func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n   509→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n   510→\tif job != nil {\n   511→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n   512→\t}\n   513→\n   514→\trows, err := q.RunWith(r.stmtCache).Query()\n   515→\tif err != nil {\n   516→\t\ts, _, _ := q.ToSql()\n   517→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n   518→\t\treturn nil, err\n   519→\t}\n   520→\tdefer rows.Close()\n   521→\n   522→\ttags := make([]*schema.Tag, 0)\n   523→\tfor rows.Next() {\n   524→\t\ttag := &schema.Tag{}\n   525→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n   526→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n   527→\t\t\treturn nil, err\n   528→\t\t}\n   529→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n   530→\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n   531→\t\tif err != nil {\n   532→\t\t\treturn nil, err\n   533→\t\t}\n   534→\t\tif readable {\n   535→\t\t\ttags = append(tags, tag)\n   536→\t\t}\n   537→\t}\n   538→\n   539→\tif err := rows.Err(); err != nil {\n   540→\t\treturn nil, err\n   541→\t}\n   542→\n   543→\treturn tags, nil\n   544→}\n   545→\n   546→func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n   547→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n   548→\tif job != nil {\n   549→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n   550→\t}\n   551→\n   552→\trows, err := q.RunWith(r.stmtCache).Query()\n   553→\tif err != nil {\n   554→\t\ts, _, _ := q.ToSql()\n   555→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n   556→\t\treturn nil, err\n   557→\t}\n   558→\tdefer rows.Close()\n   559→\n   560→\ttags := make([]*schema.Tag, 0)\n   561→\tfor rows.Next() {\n   562→\t\ttag := &schema.Tag{}\n   563→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n   564→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n   565→\t\t\treturn nil, err\n   566→\t\t}\n   567→\t\ttags = append(tags, tag)\n   568→\t}\n   569→\n   570→\tif err := rows.Err(); err != nil {\n   571→\t\treturn nil, err\n   572→\t}\n   573→\n   574→\treturn tags, nil\n   575→}\n   576→\n   577→// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n   578→//\n   579→// This internal function is used exclusively for job archive synchronization where we need\n   580→// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n   581→// filters by scope, this returns the complete unfiltered tag list.\n   582→//\n   583→// Parameters:\n   584→//   - job: Pointer to job database ID, or nil to return all tags in the system\n   585→//\n   586→// Returns all tags without scope filtering, used only for archive operations.\n   587→//\n   588→// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\n   589→func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n   590→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n   591→\tif job != nil {\n   592→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n   593→\t}\n   594→\n   595→\trows, err := q.RunWith(r.stmtCache).Query()\n   596→\tif err != nil {\n   597→\t\ts, _, _ := q.ToSql()\n   598→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n   599→\t\treturn nil, err\n   600→\t}\n   601→\tdefer rows.Close()\n   602→\n   603→\ttags := make([]*schema.Tag, 0)\n   604→\tfor rows.Next() {\n   605→\t\ttag := &schema.Tag{}\n   606→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n   607→\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n   608→\t\t\treturn nil, err\n   609→\t\t}\n   610→\t\ttags = append(tags, tag)\n   611→\t}\n   612→\n   613→\tif err := rows.Err(); err != nil {\n   614→\t\treturn nil, err\n   615→\t}\n   616→\n   617→\treturn tags, nil\n   618→}\n   619→\n   620→func (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n   621→\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n   622→\n   623→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   624→\tif !exists {\n   625→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n   626→\t\tif err != nil {\n   627→\t\t\treturn err\n   628→\t\t}\n   629→\t}\n   630→\n   631→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n   632→\n   633→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   634→\t\ts, _, _ := q.ToSql()\n   635→\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n   636→\t\treturn err\n   637→\t}\n   638→\n   639→\treturn nil\n   640→}\n   641→\n   642→// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n   643→//\n   644→// This function implements the tag scope authorization matrix:\n   645→//\n   646→//\tScope        | Read Access                      | Write Access\n   647→//\t-------------|----------------------------------|----------------------------------\n   648→//\t\"global\"     | All users                        | Admin, Support, API-only\n   649→//\t\"admin\"      | Admin, Support                   | Admin, API-only\n   650→//\t<username>   | Owner only                       | Owner only (private tags)\n   651→//\n   652→// Parameters:\n   653→//   - user: User attempting the operation (must not be nil)\n   654→//   - operation: Either \"read\" or \"write\"\n   655→//   - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n   656→//\n   657→// Returns:\n   658→//   - pass: true if authorized, false if denied\n   659→//   - err: error only if operation is invalid or user is nil\n   660→//\n   661→// Special cases:\n   662→//   - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n   663→//   - Private tags use the username as scope, granting exclusive access to that user\n   664→func (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n   665→\tif user != nil {\n   666→\t\tswitch {\n   667→\t\tcase operation == \"write\" && scope == \"admin\":\n   668→\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n   669→\t\t\t\treturn true, nil\n   670→\t\t\t}\n   671→\t\t\treturn false, nil\n   672→\t\tcase operation == \"write\" && scope == \"global\":\n   673→\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n   674→\t\t\t\treturn true, nil\n   675→\t\t\t}\n   676→\t\t\treturn false, nil\n   677→\t\tcase operation == \"write\" && scope == user.Username:\n   678→\t\t\treturn true, nil\n   679→\t\tcase operation == \"read\" && scope == \"admin\":\n   680→\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n   681→\t\tcase operation == \"read\" && scope == \"global\":\n   682→\t\t\treturn true, nil\n   683→\t\tcase operation == \"read\" && scope == user.Username:\n   684→\t\t\treturn true, nil\n   685→\t\tdefault:\n   686→\t\t\tif operation == \"read\" || operation == \"write\" {\n   687→\t\t\t\t// No acceptable scope: deny tag\n   688→\t\t\t\treturn false, nil\n   689→\t\t\t} else {\n   690→\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n   691→\t\t\t}\n   692→\t\t}\n   693→\t} else {\n   694→\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n   695→\t}\n   696→}\n   697→"}]},"uuid":"eab81478-d796-4621-b2c6-86dea55f106f","timestamp":"2026-03-16T10:20:15.650Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package repository provides data access and persistence layer for ClusterCockpit.\n//\n// This file implements tag management functionality for job categorization and classification.\n// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n// (via tagger plugins). The implementation includes role-based access control through\n// tag scopes and maintains bidirectional consistency between the SQL database and\n// the file-based job archive.\n//\n// Database Schema:\n//\n//\tCREATE TABLE tag (\n//\t    id INTEGER PRIMARY KEY AUTOINCREMENT,\n//\t    tag_type VARCHAR(255) NOT NULL,\n//\t    tag_name VARCHAR(255) NOT NULL,\n//\t    tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n//\t    CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n//\t);\n//\n//\tCREATE TABLE jobtag (\n//\t    job_id INTEGER,\n//\t    tag_id INTEGER,\n//\t    PRIMARY KEY (job_id, tag_id),\n//\t    FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n//\t    FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n//\t);\n//\n// The jobtag junction table enables many-to-many relationships between jobs and tags.\n// CASCADE deletion ensures referential integrity when jobs or tags are removed.\npackage repository\n\nimport (\n\t\"errors\"\n\t\"fmt\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// Tag Scope Rules:\n//\n// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n//\n//  1. \"global\" - Visible to all users, can be used by anyone\n//     Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n//\n//  2. \"private\" - Only visible to the creating user\n//     Example: Personal notes like \"needs-review\", \"interesting-case\"\n//\n//  3. \"admin\" - Only visible to users with admin or support roles\n//     Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n//\n// Authorization Rules:\n//   - Regular users can only create/see \"global\" and their own \"private\" tags\n//   - Admin/Support can create/see all scopes including \"admin\" tags\n//   - Users can only add tags to jobs they have permission to view\n//   - Tag scope is enforced at query time in GetTags() and CountTags()\n\n// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n// Requires user authentication for security checks.\n//\n// The user must have permission to view the job. Tag visibility is determined by scope:\n//   - \"global\" tags: visible to all users\n//   - \"private\" tags: only visible to the tag creator\n//   - \"admin\" tags: only visible to admin/support users\nfunc (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n\t\treturn r.GetTags(user, &job)\n\t})\n}\n\n// AddTagDirect adds a tag without user security checks.\n// Use only for internal/admin operations.\nfunc (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDDirect(job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n\t\treturn r.GetTagsDirect(&job)\n\t})\n}\n\n// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n// Requires user authentication for security checks. Used by GraphQL API.\nfunc (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := r.GetTags(user, &job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting tags for job\")\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(j, archiveTags)\n}\n\n// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n// Requires user authentication for security checks. Used by REST API.\nfunc (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n\t// Get Tag ID to delete\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t}\n\n\t// Get Job\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\t// Handle Delete\n\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := r.GetTags(user, &job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(j, archiveTags)\n}\n\n// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n//\n// This function is called asynchronously (via goroutine) after removing a tag from the database\n// to synchronize the file-based job archive with the database state. Errors are logged but not\n// returned since this runs in the background.\n//\n// Parameters:\n//   - jobIds: Database IDs of all jobs that had the deleted tag\n//\n// Implementation note: Each job is processed individually to handle partial failures gracefully.\n// If one job fails to update, others will still be processed.\nfunc (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n\tfor _, j := range jobIds {\n\t\ttags, err := r.getArchiveTags(&j)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n\t\t\tcontinue\n\t\t}\n\n\t\tjob, err := r.FindByIDDirect(j)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n\t\t\tcontinue\n\t\t}\n\n\t\tarchive.UpdateTags(job, tags)\n\t}\n}\n\n// Removes a tag from db by tag info\n// Used by REST API. Does not update tagged jobs in Job archive.\nfunc (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n\t// Get Tag ID to delete\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t}\n\n\treturn r.RemoveTagByID(tagID)\n}\n\n// Removes a tag from db by tag id\n// Used by GraphQL API.\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n\tjobIds, err := r.FindJobIdsByTag(tagID)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\t// Handle Delete JobTagTable\n\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n\n\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := qJobTag.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\t// Handle Delete TagTable\n\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n\n\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := qTag.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\t// asynchronously update archive jobs\n\tgo r.removeTagFromArchiveJobs(jobIds)\n\n\treturn nil\n}\n\n// CreateTag creates a new tag with the specified type, name, and scope.\n// Returns the database ID of the newly created tag.\n//\n// Scope defaults to \"global\" if empty string is provided.\n// Valid scopes: \"global\", \"private\", \"admin\"\n//\n// Example:\n//\n//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\nfunc (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n\t// Default to \"Global\" scope if none defined\n\tif tagScope == \"\" {\n\t\ttagScope = \"global\"\n\t}\n\n\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n\n\tres, err := q.RunWith(r.stmtCache).Exec()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n\t\treturn 0, err\n\t}\n\n\treturn res.LastInsertId()\n}\n\n// CountTags returns all tags visible to the user and the count of jobs for each tag.\n// Applies scope-based filtering to respect tag visibility rules.\n//\n// Returns:\n//   - tags: slice of tags the user can see\n//   - counts: map of tag name to job count\n//   - err: any error encountered\nfunc (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n\ttags = make([]schema.Tag, 0, 100)\n\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\tdefer xrows.Close()\n\n\tfor xrows.Next() {\n\t\tvar t schema.Tag\n\t\tif err = xrows.StructScan(&t); err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\n\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n\t\tif err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\t\tif readable {\n\t\t\ttags = append(tags, t)\n\t\t}\n\t}\n\n\tif err := xrows.Err(); err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\t// Query and Count Jobs with attached Tags\n\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n\t\tFrom(\"tag t\").\n\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n\t\tGroupBy(\"t.tag_type, t.tag_name\")\n\n\t// Build scope list for filtering\n\tvar scopeBuilder strings.Builder\n\tscopeBuilder.WriteString(`\"global\"`)\n\tif user != nil {\n\t\tscopeBuilder.WriteString(`,\"`)\n\t\tscopeBuilder.WriteString(user.Username)\n\t\tscopeBuilder.WriteString(`\"`)\n\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n\t\t}\n\t}\n\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n\n\t// Handle Job Ownership\n\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts = make(map[string]int)\n\tfor rows.Next() {\n\t\tvar tagType string\n\t\tvar tagName string\n\t\tvar tagID int\n\t\tvar count int\n\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n\t}\n\terr = rows.Err()\n\n\treturn tags, counts, err\n}\n\nvar (\n\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n\tErrTagNotFound = errors.New(\"the tag does not exist\")\n\n\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n\n\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n\n\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n\n\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n\n\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n)\n\n// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n//\n// This function performs three operations atomically:\n//  1. Inserts the job-tag association into the jobtag junction table\n//  2. Retrieves the updated tag list for the job (using the provided getTags callback)\n//  3. Updates the job archive with the new tags to maintain database-archive consistency\n//\n// Parameters:\n//   - jobId: Database ID of the job\n//   - tagId: Database ID of the tag to associate\n//   - job: Full job object needed for archive update\n//   - getTags: Callback function to retrieve updated tags (allows different security contexts)\n//\n// Returns the complete updated tag list for the job or an error.\n//\n// Note: This function does NOT validate tag scope permissions - callers must perform\n// authorization checks before invoking this helper.\nfunc (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := getTags()\n\tif err != nil {\n\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&jobID)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(job, archiveTags)\n}\n\n// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n// If such a tag does not yet exist, it is created.\nfunc (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n\t// Default to \"Global\" scope if none defined\n\tif tagScope == \"\" {\n\t\ttagScope = \"global\"\n\t}\n\n\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\tif !writable {\n\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n\t}\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn 0, err\n\t\t}\n\t}\n\n\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n\t\treturn 0, err\n\t}\n\n\treturn tagID, nil\n}\n\nfunc (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n\ttagScope := \"global\"\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn 0, err\n\t\t}\n\t}\n\n\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n\n\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n\t\treturn 0, err\n\t}\n\n\treturn tagID, nil\n}\n\nfunc (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n\tvar id int64\n\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n\t\tWhere(\"tag.tag_name = ?\", tagName)\n\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n\tif err != nil {\n\t\treturn false\n\t} else {\n\t\treturn true\n\t}\n}\n\n// TagID returns the database id of the tag with the specified type and name.\nfunc (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n\texists = true\n\tif err := sq.Select(\"id\").From(\"tag\").\n\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n\t\texists = false\n\t}\n\treturn\n}\n\n// TagInfo returns the database infos of the tag with the specified id.\nfunc (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n\texists = true\n\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n\t\texists = false\n\t}\n\treturn\n}\n\n// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\nfunc (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tif readable {\n\t\t\ttags = append(tags, tag)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn tags, nil\n}\n\nfunc (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn tags, nil\n}\n\n// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n//\n// This internal function is used exclusively for job archive synchronization where we need\n// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n// filters by scope, this returns the complete unfiltered tag list.\n//\n// Parameters:\n//   - job: Pointer to job database ID, or nil to return all tags in the system\n//\n// Returns all tags without scope filtering, used only for archive operations.\n//\n// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\nfunc (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn tags, nil\n}\n\nfunc (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\n// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n//\n// This function implements the tag scope authorization matrix:\n//\n//\tScope        | Read Access                      | Write Access\n//\t-------------|----------------------------------|----------------------------------\n//\t\"global\"     | All users                        | Admin, Support, API-only\n//\t\"admin\"      | Admin, Support                   | Admin, API-only\n//\t<username>   | Owner only                       | Owner only (private tags)\n//\n// Parameters:\n//   - user: User attempting the operation (must not be nil)\n//   - operation: Either \"read\" or \"write\"\n//   - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n//\n// Returns:\n//   - pass: true if authorized, false if denied\n//   - err: error only if operation is invalid or user is nil\n//\n// Special cases:\n//   - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n//   - Private tags use the username as scope, granting exclusive access to that user\nfunc (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n\tif user != nil {\n\t\tswitch {\n\t\tcase operation == \"write\" && scope == \"admin\":\n\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == \"global\":\n\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == \"admin\":\n\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n\t\tcase operation == \"read\" && scope == \"global\":\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tdefault:\n\t\t\tif operation == \"read\" || operation == \"write\" {\n\t\t\t\t// No acceptable scope: deny tag\n\t\t\t\treturn false, nil\n\t\t\t} else {\n\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n\t\t\t}\n\t\t}\n\t} else {\n\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n\t}\n}\n","numLines":697,"startLine":1,"totalLines":697}},"sourceToolAssistantUUID":"f7a0639e-a4dc-4206-a497-ea38bbed526d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"5078ed1a-9d75-4bee-8ee0-4732ddef3c03","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013Zk9UuLtFGBBW9XKL24U2N","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package archiver provides asynchronous job archiving functionality for ClusterCockpit.\n     7→//\n     8→// The archiver runs a background worker goroutine that processes job archiving requests\n     9→// from a buffered channel. When jobs complete, their metric data is archived from the\n    10→// metric store to the configured archive backend (filesystem, S3, etc.).\n    11→//\n    12→// # Architecture\n    13→//\n    14→// The archiver uses a producer-consumer pattern:\n    15→//   - Producer: TriggerArchiving() sends jobs to archiveChannel\n    16→//   - Consumer: archivingWorker() processes jobs from the channel\n    17→//   - Coordination: sync.WaitGroup tracks pending archive operations\n    18→//\n    19→// # Lifecycle\n    20→//\n    21→//  1. Start(repo, ctx) - Initialize worker with context for cancellation\n    22→//  2. TriggerArchiving(job) - Queue job for archiving (called when job stops)\n    23→//  3. archivingWorker() - Background goroutine processes jobs\n    24→//  4. Shutdown(timeout) - Graceful shutdown with timeout\n    25→//\n    26→// # Graceful Shutdown\n    27→//\n    28→// The archiver supports graceful shutdown with configurable timeout:\n    29→//   - Closes channel to reject new jobs\n    30→//   - Waits for pending jobs to complete (up to timeout)\n    31→//   - Cancels context if timeout exceeded\n    32→//   - Ensures worker goroutine exits cleanly\n    33→//\n    34→// # Example Usage\n    35→//\n    36→//\t// Initialize archiver\n    37→//\tctx, cancel := context.WithCancel(context.Background())\n    38→//\tdefer cancel()\n    39→//\tarchiver.Start(jobRepository, ctx)\n    40→//\n    41→//\t// Trigger archiving when job completes\n    42→//\tarchiver.TriggerArchiving(job)\n    43→//\n    44→//\t// Graceful shutdown with 10 second timeout\n    45→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n    46→//\t    log.Printf(\"Archiver shutdown timeout: %v\", err)\n    47→//\t}\n    48→package archiver\n    49→\n    50→import (\n    51→\t\"context\"\n    52→\t\"fmt\"\n    53→\t\"sync\"\n    54→\t\"time\"\n    55→\n    56→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    57→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    58→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    59→\tsq \"github.com/Masterminds/squirrel\"\n    60→)\n    61→\n    62→var (\n    63→\tarchivePending sync.WaitGroup\n    64→\tarchiveChannel chan *schema.Job\n    65→\tjobRepo        *repository.JobRepository\n    66→\tshutdownCtx    context.Context\n    67→\tshutdownCancel context.CancelFunc\n    68→\tworkerDone     chan struct{}\n    69→)\n    70→\n    71→// Start initializes the archiver and starts the background worker goroutine.\n    72→//\n    73→// The archiver processes job archiving requests asynchronously via a buffered channel.\n    74→// Jobs are sent to the channel using TriggerArchiving() and processed by the worker.\n    75→//\n    76→// Parameters:\n    77→//   - r: JobRepository instance for database operations\n    78→//   - ctx: Context for cancellation (shutdown signal propagation)\n    79→//\n    80→// The worker goroutine will run until:\n    81→//   - ctx is cancelled (via parent shutdown)\n    82→//   - archiveChannel is closed (via Shutdown())\n    83→//\n    84→// Must be called before TriggerArchiving(). Safe to call only once.\n    85→func Start(r *repository.JobRepository, ctx context.Context) {\n    86→\tshutdownCtx, shutdownCancel = context.WithCancel(ctx)\n    87→\tarchiveChannel = make(chan *schema.Job, 128)\n    88→\tworkerDone = make(chan struct{})\n    89→\tjobRepo = r\n    90→\n    91→\tgo archivingWorker()\n    92→}\n    93→\n    94→// archivingWorker is the background goroutine that processes job archiving requests.\n    95→//\n    96→// The worker loop:\n    97→//  1. Blocks waiting for jobs on archiveChannel or shutdown signal\n    98→//  2. Fetches job metadata from repository\n    99→//  3. Archives job data to configured backend (calls ArchiveJob)\n   100→//  4. Updates job footprint and energy metrics in database\n   101→//  5. Marks job as successfully archived\n   102→//  6. Calls job stop hooks\n   103→//\n   104→// The worker exits when:\n   105→//   - shutdownCtx is cancelled (timeout during shutdown)\n   106→//   - archiveChannel is closed (normal shutdown)\n   107→//\n   108→// Errors during archiving are logged and the job is marked as failed,\n   109→// but the worker continues processing other jobs.\n   110→func archivingWorker() {\n   111→\tdefer close(workerDone)\n   112→\n   113→\tfor {\n   114→\t\tselect {\n   115→\t\tcase <-shutdownCtx.Done():\n   116→\t\t\tcclog.Info(\"Archive worker received shutdown signal\")\n   117→\t\t\treturn\n   118→\n   119→\t\tcase job, ok := <-archiveChannel:\n   120→\t\t\tif !ok {\n   121→\t\t\t\tcclog.Info(\"Archive channel closed, worker exiting\")\n   122→\t\t\t\treturn\n   123→\t\t\t}\n   124→\n   125→\t\t\tstart := time.Now()\n   126→\t\t\t// not using meta data, called to load JobMeta into Cache?\n   127→\t\t\t// will fail if job meta not in repository\n   128→\t\t\tif _, err := jobRepo.FetchMetadata(job); err != nil {\n   129→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at check metadata step: %s\", *job.ID, err.Error())\n   130→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n   131→\t\t\t\tarchivePending.Done()\n   132→\t\t\t\tcontinue\n   133→\t\t\t}\n   134→\n   135→\t\t\t// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend\n   136→\t\t\t// Use shutdown context to allow cancellation\n   137→\t\t\tjobMeta, err := ArchiveJob(job, shutdownCtx)\n   138→\t\t\tif err != nil {\n   139→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at archiving job step: %s\", *job.ID, err.Error())\n   140→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n   141→\t\t\t\tarchivePending.Done()\n   142→\t\t\t\tcontinue\n   143→\t\t\t}\n   144→\n   145→\t\t\tstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\n   146→\n   147→\t\t\tif stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {\n   148→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Footprint step: %s\", *job.ID, err.Error())\n   149→\t\t\t\tarchivePending.Done()\n   150→\t\t\t\tcontinue\n   151→\t\t\t}\n   152→\t\t\tif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta); err != nil {\n   153→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Energy step: %s\", *job.ID, err.Error())\n   154→\t\t\t\tarchivePending.Done()\n   155→\t\t\t\tcontinue\n   156→\t\t\t}\n   157→\t\t\t// Update the jobs database entry one last time:\n   158→\t\t\tstmt = jobRepo.MarkArchived(stmt, schema.MonitoringStatusArchivingSuccessful)\n   159→\t\t\tif err := jobRepo.Execute(stmt); err != nil {\n   160→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at db execute: %s\", *job.ID, err.Error())\n   161→\t\t\t\tarchivePending.Done()\n   162→\t\t\t\tcontinue\n   163→\t\t\t}\n   164→\t\t\tcclog.Debugf(\"archiving job %d took %s\", job.JobID, time.Since(start))\n   165→\t\t\tcclog.Infof(\"archiving job (dbid: %d) successful\", *job.ID)\n   166→\n   167→\t\t\trepository.CallJobStopHooks(job)\n   168→\t\t\tarchivePending.Done()\n   169→\t\t}\n   170→\t}\n   171→}\n   172→\n   173→// TriggerArchiving queues a job for asynchronous archiving.\n   174→//\n   175→// This function should be called when a job completes (stops) to archive its\n   176→// metric data from the metric store to the configured archive backend.\n   177→//\n   178→// The function:\n   179→//  1. Increments the pending job counter (WaitGroup)\n   180→//  2. Sends the job to the archiving channel (buffered, capacity 128)\n   181→//  3. Returns immediately (non-blocking unless channel is full)\n   182→//\n   183→// The actual archiving is performed asynchronously by the worker goroutine.\n   184→// Upon completion, the worker will decrement the pending counter.\n   185→//\n   186→// Panics if Start() has not been called first.\n   187→func TriggerArchiving(job *schema.Job) {\n   188→\tif archiveChannel == nil {\n   189→\t\tcclog.Fatal(\"Cannot archive without archiving channel. Did you Start the archiver?\")\n   190→\t}\n   191→\n   192→\tarchivePending.Add(1)\n   193→\tarchiveChannel <- job\n   194→}\n   195→\n   196→// Shutdown performs a graceful shutdown of the archiver with a configurable timeout.\n   197→//\n   198→// The shutdown process:\n   199→//  1. Closes archiveChannel - no new jobs will be accepted\n   200→//  2. Waits for pending jobs to complete (up to timeout duration)\n   201→//  3. If timeout is exceeded:\n   202→//     - Cancels shutdownCtx to interrupt ongoing ArchiveJob operations\n   203→//     - Returns error indicating timeout\n   204→//  4. Waits for worker goroutine to exit cleanly\n   205→//\n   206→// Parameters:\n   207→//   - timeout: Maximum duration to wait for pending jobs to complete\n   208→//     (recommended: 10-30 seconds for production)\n   209→//\n   210→// Returns:\n   211→//   - nil if all jobs completed within timeout\n   212→//   - error if timeout was exceeded (some jobs may not have been archived)\n   213→//\n   214→// Jobs that don't complete within the timeout will be marked as failed.\n   215→// The function always ensures the worker goroutine exits before returning.\n   216→//\n   217→// Example:\n   218→//\n   219→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n   220→//\t    log.Printf(\"Some jobs did not complete: %v\", err)\n   221→//\t}\n   222→func Shutdown(timeout time.Duration) error {\n   223→\tcclog.Info(\"Initiating archiver shutdown...\")\n   224→\n   225→\t// Close channel to signal no more jobs will be accepted\n   226→\tclose(archiveChannel)\n   227→\n   228→\t// Create a channel to signal when all jobs are done\n   229→\tdone := make(chan struct{})\n   230→\tgo func() {\n   231→\t\tarchivePending.Wait()\n   232→\t\tclose(done)\n   233→\t}()\n   234→\n   235→\t// Wait for jobs to complete or timeout\n   236→\tselect {\n   237→\tcase <-done:\n   238→\t\tcclog.Info(\"All archive jobs completed successfully\")\n   239→\t\t// Wait for worker to exit\n   240→\t\t<-workerDone\n   241→\t\treturn nil\n   242→\tcase <-time.After(timeout):\n   243→\t\tcclog.Warn(\"Archiver shutdown timeout exceeded, cancelling remaining operations\")\n   244→\t\t// Cancel any ongoing operations\n   245→\t\tshutdownCancel()\n   246→\t\t// Wait for worker to exit\n   247→\t\t<-workerDone\n   248→\t\treturn fmt.Errorf(\"archiver shutdown timeout after %v\", timeout)\n   249→\t}\n   250→}\n   251→"}]},"uuid":"f93048f8-6f17-4a87-a745-7c4a8fc6fed7","timestamp":"2026-03-16T10:20:16.113Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package archiver provides asynchronous job archiving functionality for ClusterCockpit.\n//\n// The archiver runs a background worker goroutine that processes job archiving requests\n// from a buffered channel. When jobs complete, their metric data is archived from the\n// metric store to the configured archive backend (filesystem, S3, etc.).\n//\n// # Architecture\n//\n// The archiver uses a producer-consumer pattern:\n//   - Producer: TriggerArchiving() sends jobs to archiveChannel\n//   - Consumer: archivingWorker() processes jobs from the channel\n//   - Coordination: sync.WaitGroup tracks pending archive operations\n//\n// # Lifecycle\n//\n//  1. Start(repo, ctx) - Initialize worker with context for cancellation\n//  2. TriggerArchiving(job) - Queue job for archiving (called when job stops)\n//  3. archivingWorker() - Background goroutine processes jobs\n//  4. Shutdown(timeout) - Graceful shutdown with timeout\n//\n// # Graceful Shutdown\n//\n// The archiver supports graceful shutdown with configurable timeout:\n//   - Closes channel to reject new jobs\n//   - Waits for pending jobs to complete (up to timeout)\n//   - Cancels context if timeout exceeded\n//   - Ensures worker goroutine exits cleanly\n//\n// # Example Usage\n//\n//\t// Initialize archiver\n//\tctx, cancel := context.WithCancel(context.Background())\n//\tdefer cancel()\n//\tarchiver.Start(jobRepository, ctx)\n//\n//\t// Trigger archiving when job completes\n//\tarchiver.TriggerArchiving(job)\n//\n//\t// Graceful shutdown with 10 second timeout\n//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n//\t    log.Printf(\"Archiver shutdown timeout: %v\", err)\n//\t}\npackage archiver\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nvar (\n\tarchivePending sync.WaitGroup\n\tarchiveChannel chan *schema.Job\n\tjobRepo        *repository.JobRepository\n\tshutdownCtx    context.Context\n\tshutdownCancel context.CancelFunc\n\tworkerDone     chan struct{}\n)\n\n// Start initializes the archiver and starts the background worker goroutine.\n//\n// The archiver processes job archiving requests asynchronously via a buffered channel.\n// Jobs are sent to the channel using TriggerArchiving() and processed by the worker.\n//\n// Parameters:\n//   - r: JobRepository instance for database operations\n//   - ctx: Context for cancellation (shutdown signal propagation)\n//\n// The worker goroutine will run until:\n//   - ctx is cancelled (via parent shutdown)\n//   - archiveChannel is closed (via Shutdown())\n//\n// Must be called before TriggerArchiving(). Safe to call only once.\nfunc Start(r *repository.JobRepository, ctx context.Context) {\n\tshutdownCtx, shutdownCancel = context.WithCancel(ctx)\n\tarchiveChannel = make(chan *schema.Job, 128)\n\tworkerDone = make(chan struct{})\n\tjobRepo = r\n\n\tgo archivingWorker()\n}\n\n// archivingWorker is the background goroutine that processes job archiving requests.\n//\n// The worker loop:\n//  1. Blocks waiting for jobs on archiveChannel or shutdown signal\n//  2. Fetches job metadata from repository\n//  3. Archives job data to configured backend (calls ArchiveJob)\n//  4. Updates job footprint and energy metrics in database\n//  5. Marks job as successfully archived\n//  6. Calls job stop hooks\n//\n// The worker exits when:\n//   - shutdownCtx is cancelled (timeout during shutdown)\n//   - archiveChannel is closed (normal shutdown)\n//\n// Errors during archiving are logged and the job is marked as failed,\n// but the worker continues processing other jobs.\nfunc archivingWorker() {\n\tdefer close(workerDone)\n\n\tfor {\n\t\tselect {\n\t\tcase <-shutdownCtx.Done():\n\t\t\tcclog.Info(\"Archive worker received shutdown signal\")\n\t\t\treturn\n\n\t\tcase job, ok := <-archiveChannel:\n\t\t\tif !ok {\n\t\t\t\tcclog.Info(\"Archive channel closed, worker exiting\")\n\t\t\t\treturn\n\t\t\t}\n\n\t\t\tstart := time.Now()\n\t\t\t// not using meta data, called to load JobMeta into Cache?\n\t\t\t// will fail if job meta not in repository\n\t\t\tif _, err := jobRepo.FetchMetadata(job); err != nil {\n\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at check metadata step: %s\", *job.ID, err.Error())\n\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n\t\t\t\tarchivePending.Done()\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\t// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend\n\t\t\t// Use shutdown context to allow cancellation\n\t\t\tjobMeta, err := ArchiveJob(job, shutdownCtx)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at archiving job step: %s\", *job.ID, err.Error())\n\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n\t\t\t\tarchivePending.Done()\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\n\n\t\t\tif stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {\n\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Footprint step: %s\", *job.ID, err.Error())\n\t\t\t\tarchivePending.Done()\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\tif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta); err != nil {\n\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Energy step: %s\", *job.ID, err.Error())\n\t\t\t\tarchivePending.Done()\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\t// Update the jobs database entry one last time:\n\t\t\tstmt = jobRepo.MarkArchived(stmt, schema.MonitoringStatusArchivingSuccessful)\n\t\t\tif err := jobRepo.Execute(stmt); err != nil {\n\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at db execute: %s\", *job.ID, err.Error())\n\t\t\t\tarchivePending.Done()\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\tcclog.Debugf(\"archiving job %d took %s\", job.JobID, time.Since(start))\n\t\t\tcclog.Infof(\"archiving job (dbid: %d) successful\", *job.ID)\n\n\t\t\trepository.CallJobStopHooks(job)\n\t\t\tarchivePending.Done()\n\t\t}\n\t}\n}\n\n// TriggerArchiving queues a job for asynchronous archiving.\n//\n// This function should be called when a job completes (stops) to archive its\n// metric data from the metric store to the configured archive backend.\n//\n// The function:\n//  1. Increments the pending job counter (WaitGroup)\n//  2. Sends the job to the archiving channel (buffered, capacity 128)\n//  3. Returns immediately (non-blocking unless channel is full)\n//\n// The actual archiving is performed asynchronously by the worker goroutine.\n// Upon completion, the worker will decrement the pending counter.\n//\n// Panics if Start() has not been called first.\nfunc TriggerArchiving(job *schema.Job) {\n\tif archiveChannel == nil {\n\t\tcclog.Fatal(\"Cannot archive without archiving channel. Did you Start the archiver?\")\n\t}\n\n\tarchivePending.Add(1)\n\tarchiveChannel <- job\n}\n\n// Shutdown performs a graceful shutdown of the archiver with a configurable timeout.\n//\n// The shutdown process:\n//  1. Closes archiveChannel - no new jobs will be accepted\n//  2. Waits for pending jobs to complete (up to timeout duration)\n//  3. If timeout is exceeded:\n//     - Cancels shutdownCtx to interrupt ongoing ArchiveJob operations\n//     - Returns error indicating timeout\n//  4. Waits for worker goroutine to exit cleanly\n//\n// Parameters:\n//   - timeout: Maximum duration to wait for pending jobs to complete\n//     (recommended: 10-30 seconds for production)\n//\n// Returns:\n//   - nil if all jobs completed within timeout\n//   - error if timeout was exceeded (some jobs may not have been archived)\n//\n// Jobs that don't complete within the timeout will be marked as failed.\n// The function always ensures the worker goroutine exits before returning.\n//\n// Example:\n//\n//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n//\t    log.Printf(\"Some jobs did not complete: %v\", err)\n//\t}\nfunc Shutdown(timeout time.Duration) error {\n\tcclog.Info(\"Initiating archiver shutdown...\")\n\n\t// Close channel to signal no more jobs will be accepted\n\tclose(archiveChannel)\n\n\t// Create a channel to signal when all jobs are done\n\tdone := make(chan struct{})\n\tgo func() {\n\t\tarchivePending.Wait()\n\t\tclose(done)\n\t}()\n\n\t// Wait for jobs to complete or timeout\n\tselect {\n\tcase <-done:\n\t\tcclog.Info(\"All archive jobs completed successfully\")\n\t\t// Wait for worker to exit\n\t\t<-workerDone\n\t\treturn nil\n\tcase <-time.After(timeout):\n\t\tcclog.Warn(\"Archiver shutdown timeout exceeded, cancelling remaining operations\")\n\t\t// Cancel any ongoing operations\n\t\tshutdownCancel()\n\t\t// Wait for worker to exit\n\t\t<-workerDone\n\t\treturn fmt.Errorf(\"archiver shutdown timeout after %v\", timeout)\n\t}\n}\n","numLines":251,"startLine":1,"totalLines":251}},"sourceToolAssistantUUID":"5078ed1a-9d75-4bee-8ee0-4732ddef3c03","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"5c97780c-18a8-4a2a-bda6-c94e058252c8","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_013cwDLaYAaYE58p3bEr4xdp","toolUseID":"toolu_013cwDLaYAaYE58p3bEr4xdp","timestamp":"2026-03-16T10:20:16.434Z","uuid":"93d4ad0b-7ca8-47dd-af1a-cc3fd1fdd5ab","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"5c97780c-18a8-4a2a-bda6-c94e058252c8","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013cwDLaYAaYE58p3bEr4xdp","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package importer\n     7→\n     8→import (\n     9→\t\"bytes\"\n    10→\t\"encoding/json\"\n    11→\t\"fmt\"\n    12→\t\"os\"\n    13→\t\"strings\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    19→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    20→)\n    21→\n    22→// HandleImportFlag imports jobs from file pairs specified in a comma-separated flag string.\n    23→//\n    24→// The flag format is: \"<path-to-meta.json>:<path-to-data.json>[,<path-to-meta2.json>:<path-to-data2.json>,...]\"\n    25→//\n    26→// For each job pair, this function:\n    27→//  1. Reads and validates the metadata JSON file (schema.Job)\n    28→//  2. Reads and validates the job data JSON file (schema.JobData)\n    29→//  3. Enriches the job with calculated footprints and energy metrics\n    30→//  4. Validates the job using SanityChecks()\n    31→//  5. Imports the job into the archive\n    32→//  6. Inserts the job into the database with associated tags\n    33→//\n    34→// Schema validation is performed if config.Keys.Validate is true.\n    35→//\n    36→// Returns an error if file reading, validation, enrichment, or database operations fail.\n    37→// The function stops processing on the first error encountered.\n    38→func HandleImportFlag(flag string) error {\n    39→\tr := repository.GetJobRepository()\n    40→\n    41→\tfor pair := range strings.SplitSeq(flag, \",\") {\n    42→\t\tfiles := strings.Split(pair, \":\")\n    43→\t\tif len(files) != 2 {\n    44→\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > invalid import flag format\")\n    45→\t\t}\n    46→\n    47→\t\traw, err := os.ReadFile(files[0])\n    48→\t\tif err != nil {\n    49→\t\t\tcclog.Warn(\"Error while reading metadata file for import\")\n    50→\t\t\treturn err\n    51→\t\t}\n    52→\n    53→\t\tif config.Keys.Validate {\n    54→\t\t\tif err = schema.Validate(schema.Meta, bytes.NewReader(raw)); err != nil {\n    55→\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job meta: %v\", err)\n    56→\t\t\t}\n    57→\t\t}\n    58→\t\tdec := json.NewDecoder(bytes.NewReader(raw))\n    59→\t\tdec.DisallowUnknownFields()\n    60→\t\tjob := schema.Job{\n    61→\t\t\tShared:           \"none\",\n    62→\t\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n    63→\t\t}\n    64→\t\tif err = dec.Decode(&job); err != nil {\n    65→\t\t\tcclog.Warn(\"Error while decoding raw json metadata for import\")\n    66→\t\t\treturn err\n    67→\t\t}\n    68→\n    69→\t\traw, err = os.ReadFile(files[1])\n    70→\t\tif err != nil {\n    71→\t\t\tcclog.Warn(\"Error while reading jobdata file for import\")\n    72→\t\t\treturn err\n    73→\t\t}\n    74→\n    75→\t\tif config.Keys.Validate {\n    76→\t\t\tif err = schema.Validate(schema.Data, bytes.NewReader(raw)); err != nil {\n    77→\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job data: %v\", err)\n    78→\t\t\t}\n    79→\t\t}\n    80→\t\tdec = json.NewDecoder(bytes.NewReader(raw))\n    81→\t\tdec.DisallowUnknownFields()\n    82→\t\tjobData := schema.JobData{}\n    83→\t\tif err = dec.Decode(&jobData); err != nil {\n    84→\t\t\tcclog.Warn(\"Error while decoding raw json jobdata for import\")\n    85→\t\t\treturn err\n    86→\t\t}\n    87→\n    88→\t\tjob.MonitoringStatus = schema.MonitoringStatusArchivingSuccessful\n    89→\n    90→\t\tif err = enrichJobMetadata(&job); err != nil {\n    91→\t\t\tcclog.Errorf(\"Error enriching job metadata: %v\", err)\n    92→\t\t\treturn err\n    93→\t\t}\n    94→\n    95→\t\tif err = SanityChecks(&job); err != nil {\n    96→\t\t\tcclog.Warn(\"BaseJob SanityChecks failed\")\n    97→\t\t\treturn err\n    98→\t\t}\n    99→\n   100→\t\tif err = archive.GetHandle().ImportJob(&job, &jobData); err != nil {\n   101→\t\t\tcclog.Error(\"Error while importing job\")\n   102→\t\t\treturn err\n   103→\t\t}\n   104→\n   105→\t\tid, err := r.InsertJobDirect(&job)\n   106→\t\tif err != nil {\n   107→\t\t\tcclog.Warn(\"Error while job db insert\")\n   108→\t\t\treturn err\n   109→\t\t}\n   110→\n   111→\t\tfor _, tag := range job.Tags {\n   112→\t\t\tif err := r.ImportTag(id, tag.Type, tag.Name, tag.Scope); err != nil {\n   113→\t\t\t\tcclog.Error(\"Error while adding or creating tag on import\")\n   114→\t\t\t\treturn err\n   115→\t\t\t}\n   116→\t\t}\n   117→\n   118→\t\tcclog.Infof(\"successfully imported a new job (jobId: %d, cluster: %s, dbid: %d)\", job.JobID, job.Cluster, id)\n   119→\t}\n   120→\treturn nil\n   121→}\n   122→"}]},"uuid":"1c544148-1fc4-481e-a535-848ba4734d66","timestamp":"2026-03-16T10:20:16.434Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage importer\n\nimport (\n\t\"bytes\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// HandleImportFlag imports jobs from file pairs specified in a comma-separated flag string.\n//\n// The flag format is: \"<path-to-meta.json>:<path-to-data.json>[,<path-to-meta2.json>:<path-to-data2.json>,...]\"\n//\n// For each job pair, this function:\n//  1. Reads and validates the metadata JSON file (schema.Job)\n//  2. Reads and validates the job data JSON file (schema.JobData)\n//  3. Enriches the job with calculated footprints and energy metrics\n//  4. Validates the job using SanityChecks()\n//  5. Imports the job into the archive\n//  6. Inserts the job into the database with associated tags\n//\n// Schema validation is performed if config.Keys.Validate is true.\n//\n// Returns an error if file reading, validation, enrichment, or database operations fail.\n// The function stops processing on the first error encountered.\nfunc HandleImportFlag(flag string) error {\n\tr := repository.GetJobRepository()\n\n\tfor pair := range strings.SplitSeq(flag, \",\") {\n\t\tfiles := strings.Split(pair, \":\")\n\t\tif len(files) != 2 {\n\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > invalid import flag format\")\n\t\t}\n\n\t\traw, err := os.ReadFile(files[0])\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while reading metadata file for import\")\n\t\t\treturn err\n\t\t}\n\n\t\tif config.Keys.Validate {\n\t\t\tif err = schema.Validate(schema.Meta, bytes.NewReader(raw)); err != nil {\n\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job meta: %v\", err)\n\t\t\t}\n\t\t}\n\t\tdec := json.NewDecoder(bytes.NewReader(raw))\n\t\tdec.DisallowUnknownFields()\n\t\tjob := schema.Job{\n\t\t\tShared:           \"none\",\n\t\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t\t}\n\t\tif err = dec.Decode(&job); err != nil {\n\t\t\tcclog.Warn(\"Error while decoding raw json metadata for import\")\n\t\t\treturn err\n\t\t}\n\n\t\traw, err = os.ReadFile(files[1])\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while reading jobdata file for import\")\n\t\t\treturn err\n\t\t}\n\n\t\tif config.Keys.Validate {\n\t\t\tif err = schema.Validate(schema.Data, bytes.NewReader(raw)); err != nil {\n\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job data: %v\", err)\n\t\t\t}\n\t\t}\n\t\tdec = json.NewDecoder(bytes.NewReader(raw))\n\t\tdec.DisallowUnknownFields()\n\t\tjobData := schema.JobData{}\n\t\tif err = dec.Decode(&jobData); err != nil {\n\t\t\tcclog.Warn(\"Error while decoding raw json jobdata for import\")\n\t\t\treturn err\n\t\t}\n\n\t\tjob.MonitoringStatus = schema.MonitoringStatusArchivingSuccessful\n\n\t\tif err = enrichJobMetadata(&job); err != nil {\n\t\t\tcclog.Errorf(\"Error enriching job metadata: %v\", err)\n\t\t\treturn err\n\t\t}\n\n\t\tif err = SanityChecks(&job); err != nil {\n\t\t\tcclog.Warn(\"BaseJob SanityChecks failed\")\n\t\t\treturn err\n\t\t}\n\n\t\tif err = archive.GetHandle().ImportJob(&job, &jobData); err != nil {\n\t\t\tcclog.Error(\"Error while importing job\")\n\t\t\treturn err\n\t\t}\n\n\t\tid, err := r.InsertJobDirect(&job)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while job db insert\")\n\t\t\treturn err\n\t\t}\n\n\t\tfor _, tag := range job.Tags {\n\t\t\tif err := r.ImportTag(id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\t\tcclog.Error(\"Error while adding or creating tag on import\")\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\n\t\tcclog.Infof(\"successfully imported a new job (jobId: %d, cluster: %s, dbid: %d)\", job.JobID, job.Cluster, id)\n\t}\n\treturn nil\n}\n","numLines":122,"startLine":1,"totalLines":122}},"sourceToolAssistantUUID":"5c97780c-18a8-4a2a-bda6-c94e058252c8","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"bfc5483e-2e80-4a47-b8d6-fbd1216b1edf","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01NyQGq5HoKhuReqThQpgkSQ","toolUseID":"toolu_01NyQGq5HoKhuReqThQpgkSQ","timestamp":"2026-03-16T10:20:21.987Z","uuid":"fa2fe1da-d91b-4727-b9b4-768b0e78c339","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"bfc5483e-2e80-4a47-b8d6-fbd1216b1edf","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NyQGq5HoKhuReqThQpgkSQ","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"math\"\n    11→\t\"time\"\n    12→\n    13→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    14→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    16→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    17→\tsq \"github.com/Masterminds/squirrel\"\n    18→\t\"github.com/go-co-op/gocron/v2\"\n    19→)\n    20→\n    21→func RegisterFootprintWorker() {\n    22→\tvar frequency string\n    23→\tif Keys.FootprintWorker != \"\" {\n    24→\t\tfrequency = Keys.FootprintWorker\n    25→\t} else {\n    26→\t\tfrequency = \"10m\"\n    27→\t}\n    28→\n    29→\td, err := parseDuration(frequency)\n    30→\tif err != nil {\n    31→\t\tcclog.Errorf(\"RegisterFootprintWorker: %v\", err)\n    32→\t\treturn\n    33→\t}\n    34→\n    35→\tcclog.Infof(\"Register Footprint Update service with %s interval\", frequency)\n    36→\n    37→\ts.NewJob(gocron.DurationJob(d),\n    38→\t\tgocron.NewTask(\n    39→\t\t\tfunc() {\n    40→\t\t\t\ts := time.Now()\n    41→\t\t\t\tc := 0\n    42→\t\t\t\tce := 0\n    43→\t\t\t\tcl := 0\n    44→\t\t\t\tcclog.Infof(\"Update Footprints started at %s\", s.Format(time.RFC3339))\n    45→\n    46→\t\t\t\tfor _, cluster := range archive.Clusters {\n    47→\t\t\t\t\tsCluster := time.Now()\n    48→\t\t\t\t\tjobs, err := jobRepo.FindRunningJobs(cluster.Name)\n    49→\t\t\t\t\tif err != nil {\n    50→\t\t\t\t\t\tcontinue\n    51→\t\t\t\t\t}\n    52→\t\t\t\t\t// NOTE: Additional SubCluster Loop Could Allow For Limited List Of Footprint-Metrics Only.\n    53→\t\t\t\t\t//       - Chunk-Size Would Then Be 'SubCluster' (Running Jobs, Transactions) as Lists Can Change Within SCs\n    54→\t\t\t\t\t//       - Would Require Review of 'updateFootprint' Usage (Logic Could Possibly Be Included Here Completely)\n    55→\t\t\t\t\tallMetrics := make([]string, 0)\n    56→\t\t\t\t\tmetricConfigs := archive.GetCluster(cluster.Name).MetricConfig\n    57→\t\t\t\t\tfor _, mc := range metricConfigs {\n    58→\t\t\t\t\t\tallMetrics = append(allMetrics, mc.Name)\n    59→\t\t\t\t\t}\n    60→\n    61→\t\t\t\t\tpendingStatements := []sq.UpdateBuilder{}\n    62→\n    63→\t\t\t\t\tfor _, job := range jobs {\n    64→\t\t\t\t\t\tcclog.Debugf(\"Prepare job %d\", job.JobID)\n    65→\t\t\t\t\t\tcl++\n    66→\n    67→\t\t\t\t\t\tsJob := time.Now()\n    68→\n    69→\t\t\t\t\t\tms, err := metricdispatch.GetMetricDataRepo(job.Cluster, job.SubCluster)\n    70→\t\t\t\t\t\tif err != nil {\n    71→\t\t\t\t\t\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n    72→\t\t\t\t\t\t\t\tjob.Cluster, job.SubCluster, err.Error())\n    73→\t\t\t\t\t\t\tcontinue\n    74→\t\t\t\t\t\t}\n    75→\n    76→\t\t\t\t\t\tjobStats, err := ms.LoadStats(job, allMetrics, context.Background())\n    77→\t\t\t\t\t\tif err != nil {\n    78→\t\t\t\t\t\t\tcclog.Errorf(\"error wile loading job data stats for footprint update: %v\", err)\n    79→\t\t\t\t\t\t\tce++\n    80→\t\t\t\t\t\t\tcontinue\n    81→\t\t\t\t\t\t}\n    82→\n    83→\t\t\t\t\t\tjob.Statistics = make(map[string]schema.JobStatistics)\n    84→\n    85→\t\t\t\t\t\tfor _, metric := range allMetrics {\n    86→\t\t\t\t\t\t\tavg, min, max := 0.0, 0.0, 0.0\n    87→\t\t\t\t\t\t\tdata, ok := jobStats[metric] // JobStats[Metric1:[Hostname1:[Stats], Hostname2:[Stats], ...], Metric2[...] ...]\n    88→\t\t\t\t\t\t\tif ok {\n    89→\t\t\t\t\t\t\t\tfor _, res := range job.Resources {\n    90→\t\t\t\t\t\t\t\t\thostStats, ok := data[res.Hostname]\n    91→\t\t\t\t\t\t\t\t\tif ok {\n    92→\t\t\t\t\t\t\t\t\t\tavg += hostStats.Avg\n    93→\t\t\t\t\t\t\t\t\t\tmin = math.Min(min, hostStats.Min)\n    94→\t\t\t\t\t\t\t\t\t\tmax = math.Max(max, hostStats.Max)\n    95→\t\t\t\t\t\t\t\t\t}\n    96→\n    97→\t\t\t\t\t\t\t\t}\n    98→\t\t\t\t\t\t\t}\n    99→\n   100→\t\t\t\t\t\t\t// Add values rounded to 2 digits: repo.LoadStats may return unrounded\n   101→\t\t\t\t\t\t\tjob.Statistics[metric] = schema.JobStatistics{\n   102→\t\t\t\t\t\t\t\tUnit: schema.Unit{\n   103→\t\t\t\t\t\t\t\t\tPrefix: archive.GetMetricConfig(job.Cluster, metric).Unit.Prefix,\n   104→\t\t\t\t\t\t\t\t\tBase:   archive.GetMetricConfig(job.Cluster, metric).Unit.Base,\n   105→\t\t\t\t\t\t\t\t},\n   106→\t\t\t\t\t\t\t\tAvg: (math.Round((avg/float64(job.NumNodes))*100) / 100),\n   107→\t\t\t\t\t\t\t\tMin: (math.Round(min*100) / 100),\n   108→\t\t\t\t\t\t\t\tMax: (math.Round(max*100) / 100),\n   109→\t\t\t\t\t\t\t}\n   110→\t\t\t\t\t\t}\n   111→\n   112→\t\t\t\t\t\t// Build Statement per Job, Add to Pending Array\n   113→\t\t\t\t\t\tstmt := sq.Update(\"job\")\n   114→\t\t\t\t\t\tstmt, err = jobRepo.UpdateFootprint(stmt, job)\n   115→\t\t\t\t\t\tif err != nil {\n   116→\t\t\t\t\t\t\tcclog.Errorf(\"update job (dbid: %d) statement build failed at footprint step: %s\", *job.ID, err.Error())\n   117→\t\t\t\t\t\t\tce++\n   118→\t\t\t\t\t\t\tcontinue\n   119→\t\t\t\t\t\t}\n   120→\t\t\t\t\t\tstmt = stmt.Where(\"job.id = ?\", job.ID)\n   121→\n   122→\t\t\t\t\t\tpendingStatements = append(pendingStatements, stmt)\n   123→\t\t\t\t\t\tcclog.Debugf(\"Job %d took %s\", job.JobID, time.Since(sJob))\n   124→\t\t\t\t\t}\n   125→\n   126→\t\t\t\t\tt, err := jobRepo.TransactionInit()\n   127→\t\t\t\t\tif err != nil {\n   128→\t\t\t\t\t\tcclog.Errorf(\"failed TransactionInit %v\", err)\n   129→\t\t\t\t\t\tcclog.Errorf(\"skipped %d transactions for cluster %s\", len(pendingStatements), cluster.Name)\n   130→\t\t\t\t\t\tce += len(pendingStatements)\n   131→\t\t\t\t\t} else {\n   132→\t\t\t\t\t\tfor _, ps := range pendingStatements {\n   133→\t\t\t\t\t\t\tquery, args, err := ps.ToSql()\n   134→\t\t\t\t\t\t\tif err != nil {\n   135→\t\t\t\t\t\t\t\tcclog.Errorf(\"failed in ToSQL conversion: %v\", err)\n   136→\t\t\t\t\t\t\t\tce++\n   137→\t\t\t\t\t\t\t} else {\n   138→\t\t\t\t\t\t\t\t// args...: Footprint-JSON, Energyfootprint-JSON, TotalEnergy, JobID\n   139→\t\t\t\t\t\t\t\tjobRepo.TransactionAdd(t, query, args...)\n   140→\t\t\t\t\t\t\t\tc++\n   141→\t\t\t\t\t\t\t}\n   142→\t\t\t\t\t\t}\n   143→\t\t\t\t\t\tjobRepo.TransactionEnd(t)\n   144→\t\t\t\t\t}\n   145→\t\t\t\t\tcclog.Debugf(\"Finish Cluster %s, took %s\\n\", cluster.Name, time.Since(sCluster))\n   146→\t\t\t\t}\n   147→\t\t\t\tcclog.Infof(\"Updating %d (of %d; Skipped %d) Footprints is done and took %s\", c, cl, ce, time.Since(s))\n   148→\t\t\t}))\n   149→}\n   150→"}]},"uuid":"87a4201c-478c-481a-a777-cd0ab95957f3","timestamp":"2026-03-16T10:20:21.987Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage taskmanager\n\nimport (\n\t\"context\"\n\t\"math\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/go-co-op/gocron/v2\"\n)\n\nfunc RegisterFootprintWorker() {\n\tvar frequency string\n\tif Keys.FootprintWorker != \"\" {\n\t\tfrequency = Keys.FootprintWorker\n\t} else {\n\t\tfrequency = \"10m\"\n\t}\n\n\td, err := parseDuration(frequency)\n\tif err != nil {\n\t\tcclog.Errorf(\"RegisterFootprintWorker: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Register Footprint Update service with %s interval\", frequency)\n\n\ts.NewJob(gocron.DurationJob(d),\n\t\tgocron.NewTask(\n\t\t\tfunc() {\n\t\t\t\ts := time.Now()\n\t\t\t\tc := 0\n\t\t\t\tce := 0\n\t\t\t\tcl := 0\n\t\t\t\tcclog.Infof(\"Update Footprints started at %s\", s.Format(time.RFC3339))\n\n\t\t\t\tfor _, cluster := range archive.Clusters {\n\t\t\t\t\tsCluster := time.Now()\n\t\t\t\t\tjobs, err := jobRepo.FindRunningJobs(cluster.Name)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\t// NOTE: Additional SubCluster Loop Could Allow For Limited List Of Footprint-Metrics Only.\n\t\t\t\t\t//       - Chunk-Size Would Then Be 'SubCluster' (Running Jobs, Transactions) as Lists Can Change Within SCs\n\t\t\t\t\t//       - Would Require Review of 'updateFootprint' Usage (Logic Could Possibly Be Included Here Completely)\n\t\t\t\t\tallMetrics := make([]string, 0)\n\t\t\t\t\tmetricConfigs := archive.GetCluster(cluster.Name).MetricConfig\n\t\t\t\t\tfor _, mc := range metricConfigs {\n\t\t\t\t\t\tallMetrics = append(allMetrics, mc.Name)\n\t\t\t\t\t}\n\n\t\t\t\t\tpendingStatements := []sq.UpdateBuilder{}\n\n\t\t\t\t\tfor _, job := range jobs {\n\t\t\t\t\t\tcclog.Debugf(\"Prepare job %d\", job.JobID)\n\t\t\t\t\t\tcl++\n\n\t\t\t\t\t\tsJob := time.Now()\n\n\t\t\t\t\t\tms, err := metricdispatch.GetMetricDataRepo(job.Cluster, job.SubCluster)\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\t\t\t\t\t\tjob.Cluster, job.SubCluster, err.Error())\n\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tjobStats, err := ms.LoadStats(job, allMetrics, context.Background())\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"error wile loading job data stats for footprint update: %v\", err)\n\t\t\t\t\t\t\tce++\n\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tjob.Statistics = make(map[string]schema.JobStatistics)\n\n\t\t\t\t\t\tfor _, metric := range allMetrics {\n\t\t\t\t\t\t\tavg, min, max := 0.0, 0.0, 0.0\n\t\t\t\t\t\t\tdata, ok := jobStats[metric] // JobStats[Metric1:[Hostname1:[Stats], Hostname2:[Stats], ...], Metric2[...] ...]\n\t\t\t\t\t\t\tif ok {\n\t\t\t\t\t\t\t\tfor _, res := range job.Resources {\n\t\t\t\t\t\t\t\t\thostStats, ok := data[res.Hostname]\n\t\t\t\t\t\t\t\t\tif ok {\n\t\t\t\t\t\t\t\t\t\tavg += hostStats.Avg\n\t\t\t\t\t\t\t\t\t\tmin = math.Min(min, hostStats.Min)\n\t\t\t\t\t\t\t\t\t\tmax = math.Max(max, hostStats.Max)\n\t\t\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t// Add values rounded to 2 digits: repo.LoadStats may return unrounded\n\t\t\t\t\t\t\tjob.Statistics[metric] = schema.JobStatistics{\n\t\t\t\t\t\t\t\tUnit: schema.Unit{\n\t\t\t\t\t\t\t\t\tPrefix: archive.GetMetricConfig(job.Cluster, metric).Unit.Prefix,\n\t\t\t\t\t\t\t\t\tBase:   archive.GetMetricConfig(job.Cluster, metric).Unit.Base,\n\t\t\t\t\t\t\t\t},\n\t\t\t\t\t\t\t\tAvg: (math.Round((avg/float64(job.NumNodes))*100) / 100),\n\t\t\t\t\t\t\t\tMin: (math.Round(min*100) / 100),\n\t\t\t\t\t\t\t\tMax: (math.Round(max*100) / 100),\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\t// Build Statement per Job, Add to Pending Array\n\t\t\t\t\t\tstmt := sq.Update(\"job\")\n\t\t\t\t\t\tstmt, err = jobRepo.UpdateFootprint(stmt, job)\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"update job (dbid: %d) statement build failed at footprint step: %s\", *job.ID, err.Error())\n\t\t\t\t\t\t\tce++\n\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t}\n\t\t\t\t\t\tstmt = stmt.Where(\"job.id = ?\", job.ID)\n\n\t\t\t\t\t\tpendingStatements = append(pendingStatements, stmt)\n\t\t\t\t\t\tcclog.Debugf(\"Job %d took %s\", job.JobID, time.Since(sJob))\n\t\t\t\t\t}\n\n\t\t\t\t\tt, err := jobRepo.TransactionInit()\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"failed TransactionInit %v\", err)\n\t\t\t\t\t\tcclog.Errorf(\"skipped %d transactions for cluster %s\", len(pendingStatements), cluster.Name)\n\t\t\t\t\t\tce += len(pendingStatements)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tfor _, ps := range pendingStatements {\n\t\t\t\t\t\t\tquery, args, err := ps.ToSql()\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"failed in ToSQL conversion: %v\", err)\n\t\t\t\t\t\t\t\tce++\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\t// args...: Footprint-JSON, Energyfootprint-JSON, TotalEnergy, JobID\n\t\t\t\t\t\t\t\tjobRepo.TransactionAdd(t, query, args...)\n\t\t\t\t\t\t\t\tc++\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t\tjobRepo.TransactionEnd(t)\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Debugf(\"Finish Cluster %s, took %s\\n\", cluster.Name, time.Since(sCluster))\n\t\t\t\t}\n\t\t\t\tcclog.Infof(\"Updating %d (of %d; Skipped %d) Footprints is done and took %s\", c, cl, ce, time.Since(s))\n\t\t\t}))\n}\n","numLines":150,"startLine":1,"totalLines":150}},"sourceToolAssistantUUID":"bfc5483e-2e80-4a47-b8d6-fbd1216b1edf","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"b14cef18-8d16-4d22-9829-66379572f507","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0195DFsKrvHLqVJHLyvfkkWr","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"time\"\n    10→\n    11→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    12→\t\"github.com/go-co-op/gocron/v2\"\n    13→)\n    14→\n    15→func RegisterUpdateDurationWorker() {\n    16→\tvar frequency string\n    17→\tif Keys.DurationWorker != \"\" {\n    18→\t\tfrequency = Keys.DurationWorker\n    19→\t} else {\n    20→\t\tfrequency = \"5m\"\n    21→\t}\n    22→\n    23→\td, err := parseDuration(frequency)\n    24→\tif err != nil {\n    25→\t\tcclog.Errorf(\"RegisterUpdateDurationWorker: %v\", err)\n    26→\t\treturn\n    27→\t}\n    28→\n    29→\tcclog.Infof(\"Register Duration Update service with %s interval\", frequency)\n    30→\n    31→\ts.NewJob(gocron.DurationJob(d),\n    32→\t\tgocron.NewTask(\n    33→\t\t\tfunc() {\n    34→\t\t\t\tstart := time.Now()\n    35→\t\t\t\tcclog.Infof(\"Update duration started at %s\", start.Format(time.RFC3339))\n    36→\t\t\t\tjobRepo.UpdateDuration()\n    37→\t\t\t\tcclog.Infof(\"Update duration is done and took %s\", time.Since(start))\n    38→\t\t\t}))\n    39→}\n    40→"}]},"uuid":"8a6ed30b-b6be-4712-a630-e98681852f68","timestamp":"2026-03-16T10:20:22.343Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateDurationService.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage taskmanager\n\nimport (\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/go-co-op/gocron/v2\"\n)\n\nfunc RegisterUpdateDurationWorker() {\n\tvar frequency string\n\tif Keys.DurationWorker != \"\" {\n\t\tfrequency = Keys.DurationWorker\n\t} else {\n\t\tfrequency = \"5m\"\n\t}\n\n\td, err := parseDuration(frequency)\n\tif err != nil {\n\t\tcclog.Errorf(\"RegisterUpdateDurationWorker: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Register Duration Update service with %s interval\", frequency)\n\n\ts.NewJob(gocron.DurationJob(d),\n\t\tgocron.NewTask(\n\t\t\tfunc() {\n\t\t\t\tstart := time.Now()\n\t\t\t\tcclog.Infof(\"Update duration started at %s\", start.Format(time.RFC3339))\n\t\t\t\tjobRepo.UpdateDuration()\n\t\t\t\tcclog.Infof(\"Update duration is done and took %s\", time.Since(start))\n\t\t\t}))\n}\n","numLines":40,"startLine":1,"totalLines":40}},"sourceToolAssistantUUID":"b14cef18-8d16-4d22-9829-66379572f507","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"3ce3bea2-f3ac-4821-8d5b-2c856d9a0481","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BMUnpCkFtrCg7vC1z1GFcB","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package repository\n     6→\n     7→import (\n     8→\t\"fmt\"\n     9→\n    10→\t\"github.com/jmoiron/sqlx\"\n    11→)\n    12→\n    13→// Transaction wraps a database transaction for job-related operations.\n    14→type Transaction struct {\n    15→\ttx *sqlx.Tx\n    16→}\n    17→\n    18→// TransactionInit begins a new transaction.\n    19→func (r *JobRepository) TransactionInit() (*Transaction, error) {\n    20→\ttx, err := r.DB.Beginx()\n    21→\tif err != nil {\n    22→\t\treturn nil, fmt.Errorf(\"beginning transaction: %w\", err)\n    23→\t}\n    24→\treturn &Transaction{tx: tx}, nil\n    25→}\n    26→\n    27→// Commit commits the transaction.\n    28→// After calling Commit, the transaction should not be used again.\n    29→func (t *Transaction) Commit() error {\n    30→\tif t.tx == nil {\n    31→\t\treturn fmt.Errorf(\"transaction already committed or rolled back\")\n    32→\t}\n    33→\terr := t.tx.Commit()\n    34→\tt.tx = nil // Mark as completed\n    35→\tif err != nil {\n    36→\t\treturn fmt.Errorf(\"committing transaction: %w\", err)\n    37→\t}\n    38→\treturn nil\n    39→}\n    40→\n    41→// Rollback rolls back the transaction.\n    42→// It's safe to call Rollback on an already committed or rolled back transaction.\n    43→func (t *Transaction) Rollback() error {\n    44→\tif t.tx == nil {\n    45→\t\treturn nil // Already committed/rolled back\n    46→\t}\n    47→\terr := t.tx.Rollback()\n    48→\tt.tx = nil // Mark as completed\n    49→\tif err != nil {\n    50→\t\treturn fmt.Errorf(\"rolling back transaction: %w\", err)\n    51→\t}\n    52→\treturn nil\n    53→}\n    54→\n    55→// TransactionEnd commits the transaction.\n    56→// Deprecated: Use Commit() instead.\n    57→func (r *JobRepository) TransactionEnd(t *Transaction) error {\n    58→\treturn t.Commit()\n    59→}\n    60→\n    61→// TransactionAddNamed executes a named query within the transaction.\n    62→func (r *JobRepository) TransactionAddNamed(\n    63→\tt *Transaction,\n    64→\tquery string,\n    65→\targs ...any,\n    66→) (int64, error) {\n    67→\tif t.tx == nil {\n    68→\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n    69→\t}\n    70→\n    71→\tres, err := t.tx.NamedExec(query, args)\n    72→\tif err != nil {\n    73→\t\treturn 0, fmt.Errorf(\"named exec: %w\", err)\n    74→\t}\n    75→\n    76→\tid, err := res.LastInsertId()\n    77→\tif err != nil {\n    78→\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n    79→\t}\n    80→\n    81→\treturn id, nil\n    82→}\n    83→\n    84→// TransactionAdd executes a query within the transaction.\n    85→func (r *JobRepository) TransactionAdd(t *Transaction, query string, args ...any) (int64, error) {\n    86→\tif t.tx == nil {\n    87→\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n    88→\t}\n    89→\n    90→\tres, err := t.tx.Exec(query, args...)\n    91→\tif err != nil {\n    92→\t\treturn 0, fmt.Errorf(\"exec: %w\", err)\n    93→\t}\n    94→\n    95→\tid, err := res.LastInsertId()\n    96→\tif err != nil {\n    97→\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n    98→\t}\n    99→\n   100→\treturn id, nil\n   101→}\n   102→"}]},"uuid":"b7fd8b96-d53a-4e3d-92e3-cbb01b84bd67","timestamp":"2026-03-16T10:20:22.637Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/transaction.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage repository\n\nimport (\n\t\"fmt\"\n\n\t\"github.com/jmoiron/sqlx\"\n)\n\n// Transaction wraps a database transaction for job-related operations.\ntype Transaction struct {\n\ttx *sqlx.Tx\n}\n\n// TransactionInit begins a new transaction.\nfunc (r *JobRepository) TransactionInit() (*Transaction, error) {\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\treturn nil, fmt.Errorf(\"beginning transaction: %w\", err)\n\t}\n\treturn &Transaction{tx: tx}, nil\n}\n\n// Commit commits the transaction.\n// After calling Commit, the transaction should not be used again.\nfunc (t *Transaction) Commit() error {\n\tif t.tx == nil {\n\t\treturn fmt.Errorf(\"transaction already committed or rolled back\")\n\t}\n\terr := t.tx.Commit()\n\tt.tx = nil // Mark as completed\n\tif err != nil {\n\t\treturn fmt.Errorf(\"committing transaction: %w\", err)\n\t}\n\treturn nil\n}\n\n// Rollback rolls back the transaction.\n// It's safe to call Rollback on an already committed or rolled back transaction.\nfunc (t *Transaction) Rollback() error {\n\tif t.tx == nil {\n\t\treturn nil // Already committed/rolled back\n\t}\n\terr := t.tx.Rollback()\n\tt.tx = nil // Mark as completed\n\tif err != nil {\n\t\treturn fmt.Errorf(\"rolling back transaction: %w\", err)\n\t}\n\treturn nil\n}\n\n// TransactionEnd commits the transaction.\n// Deprecated: Use Commit() instead.\nfunc (r *JobRepository) TransactionEnd(t *Transaction) error {\n\treturn t.Commit()\n}\n\n// TransactionAddNamed executes a named query within the transaction.\nfunc (r *JobRepository) TransactionAddNamed(\n\tt *Transaction,\n\tquery string,\n\targs ...any,\n) (int64, error) {\n\tif t.tx == nil {\n\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n\t}\n\n\tres, err := t.tx.NamedExec(query, args)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"named exec: %w\", err)\n\t}\n\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n\t}\n\n\treturn id, nil\n}\n\n// TransactionAdd executes a query within the transaction.\nfunc (r *JobRepository) TransactionAdd(t *Transaction, query string, args ...any) (int64, error) {\n\tif t.tx == nil {\n\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n\t}\n\n\tres, err := t.tx.Exec(query, args...)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"exec: %w\", err)\n\t}\n\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n\t}\n\n\treturn id, nil\n}\n","numLines":102,"startLine":1,"totalLines":102}},"sourceToolAssistantUUID":"3ce3bea2-f3ac-4821-8d5b-2c856d9a0481","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"a0388b2d-5128-4103-a3e9-1b403aebd634","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01KVbjcaCsS9yWbGRFmuWN14","toolUseID":"toolu_01KVbjcaCsS9yWbGRFmuWN14","timestamp":"2026-03-16T10:20:28.748Z","uuid":"7ff5012e-a437-4db5-b10f-08c9cbb8719d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"f0597a67-7b23-4535-ad3d-c7f6504b2cfe","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01NmDyVGR14m56zJq4osBX8r","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PhVPX1dgq6sxbbDWj6iFRa","name":"Write","input":{"file_path":"/Users/jan/.claude/plans/woolly-wandering-narwhal.md","content":"# Additional SQLite Write Contention Reductions\n\n## Context\n\nFixes 1-5 (busy_timeout, batch node states, LDAP sync, NATS semaphores, SyncJobs transaction) are already implemented. This plan identifies **remaining** opportunities to reduce DB write pressure through transactions and batching.\n\nAfter reviewing all write paths in the codebase, most periodic tasks are already well-optimized:\n- `UpdateDuration` — single bulk UPDATE, efficient\n- `StopJobsExceedingWalltimeBy` — single bulk UPDATE, efficient\n- `DeleteJobsBefore` — single bulk DELETE, efficient\n- Footprint worker — already uses `TransactionInit/TransactionAdd/TransactionEnd` per cluster\n- Archiver — chains UpdateFootprint + UpdateEnergy + MarkArchived into single `sq.Update` statement, efficient\n\nThe remaining opportunities are in **tag operations**, **TransferCachedJobToMain**, and **job imports**.\n\n---\n\n## Fix 6: Wrap TransferCachedJobToMain in a Transaction\n\n**File:** `internal/repository/jobCreate.go:130-149`\n\nCurrently does INSERT + DELETE as two separate `r.DB.Exec()` calls. If the process crashes between them, the job_cache row is orphaned (duplicate on next SyncJobs).\n\n**Change:** Wrap both operations in a transaction:\n```go\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n    tx, err := r.DB.Beginx()\n    // INSERT INTO job ... SELECT ... FROM job_cache WHERE id = ?\n    // newID from LastInsertId\n    // DELETE FROM job_cache WHERE id = ?\n    // tx.Commit()\n}\n```\n\n**Impact:** Atomicity + 1 lock acquisition instead of 2. Called per job stop from cache path.\n\n---\n\n## Fix 7: Batch Tag Operations on Job Start (NATS + REST)\n\n**File:** `internal/api/nats.go:228-233` — loops `AddTagOrCreate` per tag\n**File:** `internal/api/job.go` — same pattern in `startJob` REST handler\n\nCurrently each tag does: SELECT tag → INSERT tag (if new) → SELECT job → INSERT jobtag → SELECT tags → archive.UpdateTags. For a job with 5 tags = 30 individual DB operations.\n\n**Change:** Add `BatchAddTagsDirect` to `internal/repository/tags.go`:\n- Accept jobID + slice of tags\n- Begin transaction\n- For each tag: resolve/create tag ID, INSERT jobtag — all within same transaction\n- Commit\n- Single archive.UpdateTags call at the end (outside transaction)\n\nThen update callers:\n- `internal/api/nats.go:228-233` — replace loop with `BatchAddTagsDirect`\n- `internal/api/job.go` (startJob REST handler) — same change\n\n**Keep** existing `AddTagOrCreate` for single-tag use cases (GraphQL, REST tag endpoint).\n\n**Impact:** N tags = 1 transaction + 1 archive update instead of N * 5 separate operations. Most impactful when scheduler sends jobs with multiple tags.\n\n---\n\n## Fix 8: Batch Tag Imports\n\n**File:** `internal/importer/handleImport.go:111-116` — loops `ImportTag` per tag per job\n\nCurrently each tag does: SELECT tag → INSERT tag (if new) → INSERT jobtag. For 100 jobs with 3 tags each = 600+ individual operations.\n\n**Change:** Add `BatchImportTags` to `internal/repository/tags.go`:\n- Accept jobID + slice of (type, name, scope)\n- Begin transaction\n- For each tag: resolve/create tag ID + INSERT jobtag\n- Commit\n\nUpdate `handleImport.go` to call `BatchImportTags` instead of the loop.\n\n**Impact:** Reduces lock acquisitions from 2*N to 1 per job's tags during import. Import is a startup-only operation but can be long-running for large archives.\n\n---\n\n## Fix 9: Wrap RemoveTagByID in a Transaction\n\n**File:** `internal/repository/tags.go:216-244`\n\nCurrently does DELETE FROM jobtag + DELETE FROM tag as two separate operations. If the second fails, jobtag rows are gone but the orphaned tag row remains.\n\n**Change:**\n```go\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n    jobIds, err := r.FindJobIdsByTag(tagID)\n    // ...\n    tx, err := r.DB.Beginx()\n    defer tx.Rollback()\n    // DELETE FROM jobtag WHERE tag_id = ?  (on tx)\n    // DELETE FROM tag WHERE id = ?  (on tx)\n    tx.Commit()\n    go r.removeTagFromArchiveJobs(jobIds)\n}\n```\n\n**Impact:** Atomicity for tag deletion. Low frequency (admin operation) but prevents orphaned data.\n\n---\n\n## Implementation Order\n\n1. **Fix 6** (TransferCachedJobToMain) — trivial, fixes a real atomicity bug\n2. **Fix 7** (batch tags on job start) — biggest remaining contention reduction for NATS path\n3. **Fix 8** (batch tag imports) — only affects import, but easy once Fix 7 pattern exists\n4. **Fix 9** (RemoveTagByID transaction) — minor, correctness improvement\n\n---\n\n## Files to Modify\n\n| File | Changes |\n|------|---------|\n| `internal/repository/jobCreate.go` | Fix 6: wrap TransferCachedJobToMain in transaction |\n| `internal/repository/tags.go` | Fix 7: add `BatchAddTagsDirect`; Fix 8: add `BatchImportTags`; Fix 9: transaction in RemoveTagByID |\n| `internal/api/nats.go` | Fix 7: use BatchAddTagsDirect in handleStartJob |\n| `internal/api/job.go` | Fix 7: use BatchAddTagsDirect in startJob REST handler |\n| `internal/importer/handleImport.go` | Fix 8: use BatchImportTags |\n\n---\n\n## What NOT to Change\n\nThese are already efficient and don't need modification:\n- `UpdateDuration` — single bulk UPDATE\n- `StopJobsExceedingWalltimeBy` — single bulk UPDATE\n- `DeleteJobsBefore` — single bulk DELETE\n- Footprint worker — already transactional per cluster\n- Archiver — already chains SETs into single UPDATE via Squirrel builder\n- `UpdateUser` — admin-only, very low frequency, not worth the complexity\n- `AddUser` deprecated metrics loop — marked DEPRECATED, will be removed; not worth optimizing\n\n---\n\n## Verification\n\n1. `go test ./internal/repository/... ./internal/api/... ./internal/importer/...`\n2. After Fix 6: verify `TransferCachedJobToMain` atomicity — stop a job that's in cache, check job table has correct ID and cache is empty\n3. After Fix 7: start a job with multiple tags via NATS — verify all tags appear, check that only 1 transaction was used (enable debug logging)\n4. After Fix 9: delete a tag via GraphQL — verify both tag and jobtag rows removed atomically\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2503,"cache_read_input_tokens":114295,"output_tokens":1912,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2503,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6bEMMkG4V511Dsu7bkm","type":"assistant","uuid":"b4439843-d8a6-40b1-9d71-93da5b44f966","timestamp":"2026-03-16T10:21:13.155Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"b4439843-d8a6-40b1-9d71-93da5b44f966","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PhVPX1dgq6sxbbDWj6iFRa","type":"tool_result","content":"The file /Users/jan/.claude/plans/woolly-wandering-narwhal.md has been updated successfully."}]},"uuid":"0f9e07a1-3eb3-4713-b47e-0c653524b515","timestamp":"2026-03-16T10:21:13.171Z","toolUseResult":{"type":"update","filePath":"/Users/jan/.claude/plans/woolly-wandering-narwhal.md","content":"# Additional SQLite Write Contention Reductions\n\n## Context\n\nFixes 1-5 (busy_timeout, batch node states, LDAP sync, NATS semaphores, SyncJobs transaction) are already implemented. This plan identifies **remaining** opportunities to reduce DB write pressure through transactions and batching.\n\nAfter reviewing all write paths in the codebase, most periodic tasks are already well-optimized:\n- `UpdateDuration` — single bulk UPDATE, efficient\n- `StopJobsExceedingWalltimeBy` — single bulk UPDATE, efficient\n- `DeleteJobsBefore` — single bulk DELETE, efficient\n- Footprint worker — already uses `TransactionInit/TransactionAdd/TransactionEnd` per cluster\n- Archiver — chains UpdateFootprint + UpdateEnergy + MarkArchived into single `sq.Update` statement, efficient\n\nThe remaining opportunities are in **tag operations**, **TransferCachedJobToMain**, and **job imports**.\n\n---\n\n## Fix 6: Wrap TransferCachedJobToMain in a Transaction\n\n**File:** `internal/repository/jobCreate.go:130-149`\n\nCurrently does INSERT + DELETE as two separate `r.DB.Exec()` calls. If the process crashes between them, the job_cache row is orphaned (duplicate on next SyncJobs).\n\n**Change:** Wrap both operations in a transaction:\n```go\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n    tx, err := r.DB.Beginx()\n    // INSERT INTO job ... SELECT ... FROM job_cache WHERE id = ?\n    // newID from LastInsertId\n    // DELETE FROM job_cache WHERE id = ?\n    // tx.Commit()\n}\n```\n\n**Impact:** Atomicity + 1 lock acquisition instead of 2. Called per job stop from cache path.\n\n---\n\n## Fix 7: Batch Tag Operations on Job Start (NATS + REST)\n\n**File:** `internal/api/nats.go:228-233` — loops `AddTagOrCreate` per tag\n**File:** `internal/api/job.go` — same pattern in `startJob` REST handler\n\nCurrently each tag does: SELECT tag → INSERT tag (if new) → SELECT job → INSERT jobtag → SELECT tags → archive.UpdateTags. For a job with 5 tags = 30 individual DB operations.\n\n**Change:** Add `BatchAddTagsDirect` to `internal/repository/tags.go`:\n- Accept jobID + slice of tags\n- Begin transaction\n- For each tag: resolve/create tag ID, INSERT jobtag — all within same transaction\n- Commit\n- Single archive.UpdateTags call at the end (outside transaction)\n\nThen update callers:\n- `internal/api/nats.go:228-233` — replace loop with `BatchAddTagsDirect`\n- `internal/api/job.go` (startJob REST handler) — same change\n\n**Keep** existing `AddTagOrCreate` for single-tag use cases (GraphQL, REST tag endpoint).\n\n**Impact:** N tags = 1 transaction + 1 archive update instead of N * 5 separate operations. Most impactful when scheduler sends jobs with multiple tags.\n\n---\n\n## Fix 8: Batch Tag Imports\n\n**File:** `internal/importer/handleImport.go:111-116` — loops `ImportTag` per tag per job\n\nCurrently each tag does: SELECT tag → INSERT tag (if new) → INSERT jobtag. For 100 jobs with 3 tags each = 600+ individual operations.\n\n**Change:** Add `BatchImportTags` to `internal/repository/tags.go`:\n- Accept jobID + slice of (type, name, scope)\n- Begin transaction\n- For each tag: resolve/create tag ID + INSERT jobtag\n- Commit\n\nUpdate `handleImport.go` to call `BatchImportTags` instead of the loop.\n\n**Impact:** Reduces lock acquisitions from 2*N to 1 per job's tags during import. Import is a startup-only operation but can be long-running for large archives.\n\n---\n\n## Fix 9: Wrap RemoveTagByID in a Transaction\n\n**File:** `internal/repository/tags.go:216-244`\n\nCurrently does DELETE FROM jobtag + DELETE FROM tag as two separate operations. If the second fails, jobtag rows are gone but the orphaned tag row remains.\n\n**Change:**\n```go\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n    jobIds, err := r.FindJobIdsByTag(tagID)\n    // ...\n    tx, err := r.DB.Beginx()\n    defer tx.Rollback()\n    // DELETE FROM jobtag WHERE tag_id = ?  (on tx)\n    // DELETE FROM tag WHERE id = ?  (on tx)\n    tx.Commit()\n    go r.removeTagFromArchiveJobs(jobIds)\n}\n```\n\n**Impact:** Atomicity for tag deletion. Low frequency (admin operation) but prevents orphaned data.\n\n---\n\n## Implementation Order\n\n1. **Fix 6** (TransferCachedJobToMain) — trivial, fixes a real atomicity bug\n2. **Fix 7** (batch tags on job start) — biggest remaining contention reduction for NATS path\n3. **Fix 8** (batch tag imports) — only affects import, but easy once Fix 7 pattern exists\n4. **Fix 9** (RemoveTagByID transaction) — minor, correctness improvement\n\n---\n\n## Files to Modify\n\n| File | Changes |\n|------|---------|\n| `internal/repository/jobCreate.go` | Fix 6: wrap TransferCachedJobToMain in transaction |\n| `internal/repository/tags.go` | Fix 7: add `BatchAddTagsDirect`; Fix 8: add `BatchImportTags`; Fix 9: transaction in RemoveTagByID |\n| `internal/api/nats.go` | Fix 7: use BatchAddTagsDirect in handleStartJob |\n| `internal/api/job.go` | Fix 7: use BatchAddTagsDirect in startJob REST handler |\n| `internal/importer/handleImport.go` | Fix 8: use BatchImportTags |\n\n---\n\n## What NOT to Change\n\nThese are already efficient and don't need modification:\n- `UpdateDuration` — single bulk UPDATE\n- `StopJobsExceedingWalltimeBy` — single bulk UPDATE\n- `DeleteJobsBefore` — single bulk DELETE\n- Footprint worker — already transactional per cluster\n- Archiver — already chains SETs into single UPDATE via Squirrel builder\n- `UpdateUser` — admin-only, very low frequency, not worth the complexity\n- `AddUser` deprecated metrics loop — marked DEPRECATED, will be removed; not worth optimizing\n\n---\n\n## Verification\n\n1. `go test ./internal/repository/... ./internal/api/... ./internal/importer/...`\n2. After Fix 6: verify `TransferCachedJobToMain` atomicity — stop a job that's in cache, check job table has correct ID and cache is empty\n3. After Fix 7: start a job with multiple tags via NATS — verify all tags appear, check that only 1 transaction was used (enable debug logging)\n4. After Fix 9: delete a tag via GraphQL — verify both tag and jobtag rows removed atomically\n","structuredPatch":[{"oldStart":1,"oldLines":126,"newStart":1,"newLines":144,"lines":["-# Fix: SQLite Write Contention Causing OOM Crash","+# Additional SQLite Write Contention Reductions"," "," ## Context"," ","-The server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.","+Fixes 1-5 (busy_timeout, batch node states, LDAP sync, NATS semaphores, SyncJobs transaction) are already implemented. This plan identifies **remaining** opportunities to reduce DB write pressure through transactions and batching."," ","-**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.","+After reviewing all write paths in the codebase, most periodic tasks are already well-optimized:","+- `UpdateDuration` — single bulk UPDATE, efficient","+- `StopJobsExceedingWalltimeBy` — single bulk UPDATE, efficient","+- `DeleteJobsBefore` — single bulk DELETE, efficient","+- Footprint worker — already uses `TransactionInit/TransactionAdd/TransactionEnd` per cluster","+- Archiver — chains UpdateFootprint + UpdateEnergy + MarkArchived into single `sq.Update` statement, efficient"," ","-The cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.","+The remaining opportunities are in **tag operations**, **TransferCachedJobToMain**, and **job imports**."," "," ---"," ","-## Fix 1: Increase busy_timeout (contention relief)","+## Fix 6: Wrap TransferCachedJobToMain in a Transaction"," ","-**File:** `internal/repository/dbConnection.go:73`","+**File:** `internal/repository/jobCreate.go:130-149`"," ","-Change `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:","+Currently does INSERT + DELETE as two separate `r.DB.Exec()` calls. If the process crashes between them, the job_cache row is orphaned (duplicate on next SyncJobs)."," ","-**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.","+**Change:** Wrap both operations in a transaction:","+```go","+func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {","+    tx, err := r.DB.Beginx()","+    // INSERT INTO job ... SELECT ... FROM job_cache WHERE id = ?","+    // newID from LastInsertId","+    // DELETE FROM job_cache WHERE id = ?","+    // tx.Commit()","+}","+```"," ","-**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.","+**Impact:** Atomicity + 1 lock acquisition instead of 2. Called per job stop from cache path."," ","-**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.","-","-With 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.","-"," ---"," ","-## Fix 2: Batch Node State Updates in a Transaction","+## Fix 7: Batch Tag Operations on Job Start (NATS + REST)"," ","-Currently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.","+**File:** `internal/api/nats.go:228-233` — loops `AddTagOrCreate` per tag","+**File:** `internal/api/job.go` — same pattern in `startJob` REST handler"," ","-**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:","-- Accept a slice of `(hostname, cluster, nodeState)` tuples","+Currently each tag does: SELECT tag → INSERT tag (if new) → SELECT job → INSERT jobtag → SELECT tags → archive.UpdateTags. For a job with 5 tags = 30 individual DB operations.","+","+**Change:** Add `BatchAddTagsDirect` to `internal/repository/tags.go`:","+- Accept jobID + slice of tags"," - Begin transaction","-- For each node: lookup ID (or insert node), then insert state — all within the same transaction","-- Commit once","+- For each tag: resolve/create tag ID, INSERT jobtag — all within same transaction","+- Commit","+- Single archive.UpdateTags call at the end (outside transaction)"," ","-**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.","+Then update callers:","+- `internal/api/nats.go:228-233` — replace loop with `BatchAddTagsDirect`","+- `internal/api/job.go` (startJob REST handler) — same change"," ","-**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).","+**Keep** existing `AddTagOrCreate` for single-tag use cases (GraphQL, REST tag endpoint)."," ","-Keep the existing `UpdateNodeState` method for single-node use cases.","+**Impact:** N tags = 1 transaction + 1 archive update instead of N * 5 separate operations. Most impactful when scheduler sends jobs with multiple tags."," "," ---"," ","-## Fix 3: Fix LDAP Sync Race Condition","+## Fix 8: Batch Tag Imports"," ","-The LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.","+**File:** `internal/importer/handleImport.go:111-116` — loops `ImportTag` per tag per job"," ","-**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:","-```go","-func (r *UserRepository) AddUserIfNotExists(user *schema.User) error {","-    rolesJson, _ := json.Marshal(user.Roles)","-    projectsJson, _ := json.Marshal(user.Projects)","-    cols := \"username, name, roles, projects, ldap\"","-    _, err := r.DB.Exec(","-        `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,","-        user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))","-    return err","-}","-```","+Currently each tag does: SELECT tag → INSERT tag (if new) → INSERT jobtag. For 100 jobs with 3 tags each = 600+ individual operations."," ","-**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.","+**Change:** Add `BatchImportTags` to `internal/repository/tags.go`:","+- Accept jobID + slice of (type, name, scope)","+- Begin transaction","+- For each tag: resolve/create tag ID + INSERT jobtag","+- Commit"," ","-Note: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.","+Update `handleImport.go` to call `BatchImportTags` instead of the loop."," ","+**Impact:** Reduces lock acquisitions from 2*N to 1 per job's tags during import. Import is a startup-only operation but can be long-running for large archives.","+"," ---"," ","-## Fix 4: Add Semaphore for NATS Handlers","+## Fix 9: Wrap RemoveTagByID in a Transaction"," ","-Without rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.","+**File:** `internal/repository/tags.go:216-244`"," ","-**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:","+Currently does DELETE FROM jobtag + DELETE FROM tag as two separate operations. If the second fails, jobtag rows are gone but the orphaned tag row remains.","+","+**Change:**"," ```go","-type NatsAPI struct {","-    JobRepository   *repository.JobRepository","-    RepositoryMutex sync.Mutex","-    jobSem          chan struct{}","-    nodeSem         chan struct{}","+func (r *JobRepository) RemoveTagByID(tagID int64) error {","+    jobIds, err := r.FindJobIdsByTag(tagID)","+    // ...","+    tx, err := r.DB.Beginx()","+    defer tx.Rollback()","+    // DELETE FROM jobtag WHERE tag_id = ?  (on tx)","+    // DELETE FROM tag WHERE id = ?  (on tx)","+    tx.Commit()","+    go r.removeTagFromArchiveJobs(jobIds)"," }"," ```"," ","-Initialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.","+**Impact:** Atomicity for tag deletion. Low frequency (admin operation) but prevents orphaned data."," ","-Add acquire/release in `handleJobEvent` and `handleNodeState`:","-```go","-api.jobSem <- struct{}{}","-defer func() { <-api.jobSem }()","-```","-","-This caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.","-"," ---"," ","-## Fix 5: Wrap SyncJobs in a Transaction","+## Implementation Order"," ","-**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)","+1. **Fix 6** (TransferCachedJobToMain) — trivial, fixes a real atomicity bug","+2. **Fix 7** (batch tags on job start) — biggest remaining contention reduction for NATS path","+3. **Fix 8** (batch tag imports) — only affects import, but easy once Fix 7 pattern exists","+4. **Fix 9** (RemoveTagByID transaction) — minor, correctness improvement"," ","-Currently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:","-- `tx, err := r.DB.Beginx()`","-- Run all three operations on `tx`","-- `tx.Commit()`","-- Do the read-only ID resolution outside the transaction","+---"," ","-This reduces lock acquisitions from 3 to 1 and ensures atomicity.","+## Files to Modify"," ","+| File | Changes |","+|------|---------|","+| `internal/repository/jobCreate.go` | Fix 6: wrap TransferCachedJobToMain in transaction |","+| `internal/repository/tags.go` | Fix 7: add `BatchAddTagsDirect`; Fix 8: add `BatchImportTags`; Fix 9: transaction in RemoveTagByID |","+| `internal/api/nats.go` | Fix 7: use BatchAddTagsDirect in handleStartJob |","+| `internal/api/job.go` | Fix 7: use BatchAddTagsDirect in startJob REST handler |","+| `internal/importer/handleImport.go` | Fix 8: use BatchImportTags |","+"," ---"," ","-## Implementation Order","+## What NOT to Change"," ","-1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact","-2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change","-3. **Fix 2** (batch node states) — biggest contention reduction","-4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction","-5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation","+These are already efficient and don't need modification:","+- `UpdateDuration` — single bulk UPDATE","+- `StopJobsExceedingWalltimeBy` — single bulk UPDATE","+- `DeleteJobsBefore` — single bulk DELETE","+- Footprint worker — already transactional per cluster","+- Archiver — already chains SETs into single UPDATE via Squirrel builder","+- `UpdateUser` — admin-only, very low frequency, not worth the complexity","+- `AddUser` deprecated metrics loop — marked DEPRECATED, will be removed; not worth optimizing"," "," ---"," "," ## Verification"," ","-1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.","-2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.","-3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.","-4. Run `go test ./internal/repository/... ./internal/api/... ./internal/auth/...` after all changes.","-5. Load test: simulate burst of 100+ concurrent job start/stop events + node state update with 500 nodes + LDAP sync running simultaneously. Monitor goroutine count and memory.","+1. `go test ./internal/repository/... ./internal/api/... ./internal/importer/...`","+2. After Fix 6: verify `TransferCachedJobToMain` atomicity — stop a job that's in cache, check job table has correct ID and cache is empty","+3. After Fix 7: start a job with multiple tags via NATS — verify all tags appear, check that only 1 transaction was used (enable debug logging)","+4. After Fix 9: delete a tag via GraphQL — verify both tag and jobtag rows removed atomically"]}],"originalFile":"# Fix: SQLite Write Contention Causing OOM Crash\n\n## Context\n\nThe server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.\n\n**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.\n\nThe cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.\n\n---\n\n## Fix 1: Increase busy_timeout (contention relief)\n\n**File:** `internal/repository/dbConnection.go:73`\n\nChange `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:\n\n**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.\n\n**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.\n\n**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.\n\nWith 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.\n\n---\n\n## Fix 2: Batch Node State Updates in a Transaction\n\nCurrently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.\n\n**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:\n- Accept a slice of `(hostname, cluster, nodeState)` tuples\n- Begin transaction\n- For each node: lookup ID (or insert node), then insert state — all within the same transaction\n- Commit once\n\n**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.\n\n**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).\n\nKeep the existing `UpdateNodeState` method for single-node use cases.\n\n---\n\n## Fix 3: Fix LDAP Sync Race Condition\n\nThe LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.\n\n**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:\n```go\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n    rolesJson, _ := json.Marshal(user.Roles)\n    projectsJson, _ := json.Marshal(user.Projects)\n    cols := \"username, name, roles, projects, ldap\"\n    _, err := r.DB.Exec(\n        `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,\n        user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n    return err\n}\n```\n\n**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.\n\nNote: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.\n\n---\n\n## Fix 4: Add Semaphore for NATS Handlers\n\nWithout rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.\n\n**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:\n```go\ntype NatsAPI struct {\n    JobRepository   *repository.JobRepository\n    RepositoryMutex sync.Mutex\n    jobSem          chan struct{}\n    nodeSem         chan struct{}\n}\n```\n\nInitialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.\n\nAdd acquire/release in `handleJobEvent` and `handleNodeState`:\n```go\napi.jobSem <- struct{}{}\ndefer func() { <-api.jobSem }()\n```\n\nThis caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.\n\n---\n\n## Fix 5: Wrap SyncJobs in a Transaction\n\n**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)\n\nCurrently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:\n- `tx, err := r.DB.Beginx()`\n- Run all three operations on `tx`\n- `tx.Commit()`\n- Do the read-only ID resolution outside the transaction\n\nThis reduces lock acquisitions from 3 to 1 and ensures atomicity.\n\n---\n\n## Implementation Order\n\n1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact\n2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change\n3. **Fix 2** (batch node states) — biggest contention reduction\n4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction\n5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation\n\n---\n\n## Verification\n\n1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.\n2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.\n3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.\n4. Run `go test ./internal/repository/... ./internal/api/... ./internal/auth/...` after all changes.\n5. Load test: simulate burst of 100+ concurrent job start/stop events + node state update with 500 nodes + LDAP sync running simultaneously. Monitor goroutine count and memory.\n"},"sourceToolAssistantUUID":"b4439843-d8a6-40b1-9d71-93da5b44f966","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"ff4272fb-2b35-4888-84ba-79edc4101eb9","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01LJeMZ6CFgXsvqraCsnbwHD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MUQUrUB1J3djg7qn2AaGP3","name":"ExitPlanMode","input":{"allowedPrompts":[{"tool":"Bash","prompt":"run go build and go test"}],"plan":"# Additional SQLite Write Contention Reductions\n\n## Context\n\nFixes 1-5 (busy_timeout, batch node states, LDAP sync, NATS semaphores, SyncJobs transaction) are already implemented. This plan identifies **remaining** opportunities to reduce DB write pressure through transactions and batching.\n\nAfter reviewing all write paths in the codebase, most periodic tasks are already well-optimized:\n- `UpdateDuration` — single bulk UPDATE, efficient\n- `StopJobsExceedingWalltimeBy` — single bulk UPDATE, efficient\n- `DeleteJobsBefore` — single bulk DELETE, efficient\n- Footprint worker — already uses `TransactionInit/TransactionAdd/TransactionEnd` per cluster\n- Archiver — chains UpdateFootprint + UpdateEnergy + MarkArchived into single `sq.Update` statement, efficient\n\nThe remaining opportunities are in **tag operations**, **TransferCachedJobToMain**, and **job imports**.\n\n---\n\n## Fix 6: Wrap TransferCachedJobToMain in a Transaction\n\n**File:** `internal/repository/jobCreate.go:130-149`\n\nCurrently does INSERT + DELETE as two separate `r.DB.Exec()` calls. If the process crashes between them, the job_cache row is orphaned (duplicate on next SyncJobs).\n\n**Change:** Wrap both operations in a transaction:\n```go\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n    tx, err := r.DB.Beginx()\n    // INSERT INTO job ... SELECT ... FROM job_cache WHERE id = ?\n    // newID from LastInsertId\n    // DELETE FROM job_cache WHERE id = ?\n    // tx.Commit()\n}\n```\n\n**Impact:** Atomicity + 1 lock acquisition instead of 2. Called per job stop from cache path.\n\n---\n\n## Fix 7: Batch Tag Operations on Job Start (NATS + REST)\n\n**File:** `internal/api/nats.go:228-233` — loops `AddTagOrCreate` per tag\n**File:** `internal/api/job.go` — same pattern in `startJob` REST handler\n\nCurrently each tag does: SELECT tag → INSERT tag (if new) → SELECT job → INSERT jobtag → SELECT tags → archive.UpdateTags. For a job with 5 tags = 30 individual DB operations.\n\n**Change:** Add `BatchAddTagsDirect` to `internal/repository/tags.go`:\n- Accept jobID + slice of tags\n- Begin transaction\n- For each tag: resolve/create tag ID, INSERT jobtag — all within same transaction\n- Commit\n- Single archive.UpdateTags call at the end (outside transaction)\n\nThen update callers:\n- `internal/api/nats.go:228-233` — replace loop with `BatchAddTagsDirect`\n- `internal/api/job.go` (startJob REST handler) — same change\n\n**Keep** existing `AddTagOrCreate` for single-tag use cases (GraphQL, REST tag endpoint).\n\n**Impact:** N tags = 1 transaction + 1 archive update instead of N * 5 separate operations. Most impactful when scheduler sends jobs with multiple tags.\n\n---\n\n## Fix 8: Batch Tag Imports\n\n**File:** `internal/importer/handleImport.go:111-116` — loops `ImportTag` per tag per job\n\nCurrently each tag does: SELECT tag → INSERT tag (if new) → INSERT jobtag. For 100 jobs with 3 tags each = 600+ individual operations.\n\n**Change:** Add `BatchImportTags` to `internal/repository/tags.go`:\n- Accept jobID + slice of (type, name, scope)\n- Begin transaction\n- For each tag: resolve/create tag ID + INSERT jobtag\n- Commit\n\nUpdate `handleImport.go` to call `BatchImportTags` instead of the loop.\n\n**Impact:** Reduces lock acquisitions from 2*N to 1 per job's tags during import. Import is a startup-only operation but can be long-running for large archives.\n\n---\n\n## Fix 9: Wrap RemoveTagByID in a Transaction\n\n**File:** `internal/repository/tags.go:216-244`\n\nCurrently does DELETE FROM jobtag + DELETE FROM tag as two separate operations. If the second fails, jobtag rows are gone but the orphaned tag row remains.\n\n**Change:**\n```go\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n    jobIds, err := r.FindJobIdsByTag(tagID)\n    // ...\n    tx, err := r.DB.Beginx()\n    defer tx.Rollback()\n    // DELETE FROM jobtag WHERE tag_id = ?  (on tx)\n    // DELETE FROM tag WHERE id = ?  (on tx)\n    tx.Commit()\n    go r.removeTagFromArchiveJobs(jobIds)\n}\n```\n\n**Impact:** Atomicity for tag deletion. Low frequency (admin operation) but prevents orphaned data.\n\n---\n\n## Implementation Order\n\n1. **Fix 6** (TransferCachedJobToMain) — trivial, fixes a real atomicity bug\n2. **Fix 7** (batch tags on job start) — biggest remaining contention reduction for NATS path\n3. **Fix 8** (batch tag imports) — only affects import, but easy once Fix 7 pattern exists\n4. **Fix 9** (RemoveTagByID transaction) — minor, correctness improvement\n\n---\n\n## Files to Modify\n\n| File | Changes |\n|------|---------|\n| `internal/repository/jobCreate.go` | Fix 6: wrap TransferCachedJobToMain in transaction |\n| `internal/repository/tags.go` | Fix 7: add `BatchAddTagsDirect`; Fix 8: add `BatchImportTags`; Fix 9: transaction in RemoveTagByID |\n| `internal/api/nats.go` | Fix 7: use BatchAddTagsDirect in handleStartJob |\n| `internal/api/job.go` | Fix 7: use BatchAddTagsDirect in startJob REST handler |\n| `internal/importer/handleImport.go` | Fix 8: use BatchImportTags |\n\n---\n\n## What NOT to Change\n\nThese are already efficient and don't need modification:\n- `UpdateDuration` — single bulk UPDATE\n- `StopJobsExceedingWalltimeBy` — single bulk UPDATE\n- `DeleteJobsBefore` — single bulk DELETE\n- Footprint worker — already transactional per cluster\n- Archiver — already chains SETs into single UPDATE via Squirrel builder\n- `UpdateUser` — admin-only, very low frequency, not worth the complexity\n- `AddUser` deprecated metrics loop — marked DEPRECATED, will be removed; not worth optimizing\n\n---\n\n## Verification\n\n1. `go test ./internal/repository/... ./internal/api/... ./internal/importer/...`\n2. After Fix 6: verify `TransferCachedJobToMain` atomicity — stop a job that's in cache, check job table has correct ID and cache is empty\n3. After Fix 7: start a job with multiple tags via NATS — verify all tags appear, check that only 1 transaction was used (enable debug logging)\n4. 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Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\treturn newID, nil\n}","newString":"// TransferCachedJobToMain moves a job from job_cache to the job table.\n// Caller must hold r.Mutex. Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"TransferCachedJobToMain: begin transaction: %w\", err)\n\t}\n\tdefer tx.Rollback()\n\n\tres, err := tx.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = tx.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\treturn 0, fmt.Errorf(\"TransferCachedJobToMain: commit: %w\", err)\n\t}\n\n\treturn newID, nil\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"encoding/json\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst NamedJobCacheInsert string = `INSERT INTO job_cache (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n);`\n\nconst NamedJobInsert string = `INSERT INTO job (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n);`\n\n// InsertJobDirect inserts a job directly into the job table (not job_cache).\n// Use this when the returned ID will be used for operations on the job table\n// (e.g., adding tags), or for imported jobs that are already completed.\nfunc (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Transfer cached jobs to main table and clear cache in a single transaction.\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer tx.Rollback()\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = tx.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}\n\n// TransferCachedJobToMain moves a job from job_cache to the job table.\n// Caller must hold r.Mutex. Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\treturn newID, nil\n}\n\n// Start inserts a new job in the table, returning the unique job ID.\n// Statistics are not transfered!\nfunc (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJob(job)\n}\n\n// StartDirect inserts a new job directly into the job table (not job_cache).\n// Use this when the returned ID will immediately be used for job table\n// operations such as adding tags.\nfunc (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJobDirect(job)\n}\n\n// Stop updates the job with the database id jobId using the provided arguments.\nfunc (r *JobRepository) Stop(\n\tjobID int64,\n\tduration int32,\n\tstate schema.JobState,\n\tmonitoringStatus int32,\n) (err error) {\n\t// Invalidate cache entries as job state is changing\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n\n\tstmt := sq.Update(\"job\").\n\t\tSet(\"job_state\", state).\n\t\tSet(\"duration\", duration).\n\t\tSet(\"monitoring_status\", monitoringStatus).\n\t\tWhere(\"job.id = ?\", jobID)\n\n\t_, err = stmt.RunWith(r.stmtCache).Exec()\n\treturn err\n}\n","structuredPatch":[{"oldStart":141,"oldLines":7,"newStart":141,"newLines":13,"lines":[" // TransferCachedJobToMain moves a job from job_cache to the job table."," // Caller must hold r.Mutex. Returns the new job table ID."," func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {","-  res, err := r.DB.Exec(","+  tx, err := r.DB.Beginx()","+  if err != nil {","+    return 0, fmt.Errorf(\"TransferCachedJobToMain: begin transaction: %w\", err)","+  }","+  defer tx.Rollback()","+","+  res, err := tx.Exec(","     \"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",","     cacheID)","   if err != nil {"]},{"oldStart":153,"oldLines":11,"newStart":159,"newLines":15,"lines":["     return 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)","   }"," ","-  _, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)","+  _, err = tx.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)","   if err != nil {","     return 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)","   }"," ","+  if err := tx.Commit(); err != nil {","+    return 0, fmt.Errorf(\"TransferCachedJobToMain: commit: %w\", err)","+  }","+","   return newID, nil"," }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"122536c7-4640-495c-9256-d583b5a41625","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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It also\n    17→includes a web interface for ClusterCockpit. This implementation replaces the\n    18→previous PHP Symfony based ClusterCockpit web interface. The reasons for\n    19→switching from PHP Symfony to a Golang based solution are explained\n    20→[here](https://github.com/ClusterCockpit/ClusterCockpit/wiki/Why-we-switched-from-PHP-Symfony-to-a-Golang-based-solution).\n    21→\n    22→## Overview\n    23→\n    24→This is a Golang web backend for the ClusterCockpit job-specific performance\n    25→monitoring framework. It provides a REST API and an optional NATS-based messaging\n    26→API for integrating ClusterCockpit with an HPC cluster batch system and external\n    27→analysis scripts. Data exchange between the web front-end and the back-end is\n    28→based on a GraphQL API. The web frontend is also served by the backend using\n    29→[Svelte](https://svelte.dev/) components. Layout and styling are based on\n    30→[Bootstrap 5](https://getbootstrap.com/) using\n    31→[Bootstrap Icons](https://icons.getbootstrap.com/).\n    32→\n    33→The backend uses [SQLite 3](https://sqlite.org/) as the relational SQL database.\n    34→While there are metric data backends for the InfluxDB and Prometheus time series\n    35→databases, the only tested and supported setup is to use cc-metric-store as the\n    36→metric data backend. Documentation on how to integrate ClusterCockpit with other\n    37→time series databases will be added in the future.\n    38→\n    39→For real-time integration with HPC systems, the backend can subscribe to\n    40→[NATS](https://nats.io/) subjects to receive job start/stop events and node\n    41→state updates, providing an alternative to REST API polling.\n    42→\n    43→Completed batch jobs are stored in a file-based job archive according to\n    44→[this specification](https://github.com/ClusterCockpit/cc-specifications/tree/master/job-archive).\n    45→The backend supports authentication via local accounts, an external LDAP\n    46→directory, and JWT tokens. Authorization for APIs is implemented with\n    47→[JWT](https://jwt.io/) tokens created with public/private key encryption.\n    48→\n    49→You find a detailed documentation on the [ClusterCockpit\n    50→Webpage](https://clustercockpit.org).\n    51→\n    52→## Build requirements\n    53→\n    54→ClusterCockpit requires a current version of the golang toolchain and node.js.\n    55→You can check `go.mod` to see what is the current minimal golang version needed.\n    56→Homebrew and Archlinux usually have current golang versions. For other Linux\n    57→distros this often means that you have to install the golang compiler yourself.\n    58→Fortunately, this is easy with golang. Since much of the functionality is based\n    59→on the Go standard library, it is crucial for security and performance to use a\n    60→current version of golang. In addition, an old golang toolchain may limit the supported\n    61→versions of third-party packages.\n    62→\n    63→## How to try ClusterCockpit with a demo setup\n    64→\n    65→We provide a shell script that downloads demo data and automatically starts the\n    66→cc-backend. You will need `wget`, `go`, `node`, `npm` in your path to\n    67→start the demo. The demo downloads 32MB of data (223MB on disk).\n    68→\n    69→```sh\n    70→git clone https://github.com/ClusterCockpit/cc-backend.git\n    71→cd ./cc-backend\n    72→./startDemo.sh\n    73→```\n    74→\n    75→You can also try the demo using the latest release binary.\n    76→Create a folder and put the release binary `cc-backend` into this folder.\n    77→Execute the following steps:\n    78→\n    79→```shell\n    80→./cc-backend -init\n    81→vim config.json (Add a second cluster entry and name the clusters alex and fritz)\n    82→wget https://hpc-mover.rrze.uni-erlangen.de/HPC-Data/0x7b58aefb/eig7ahyo6fo2bais0ephuf2aitohv1ai/job-archive-demo.tar\n    83→tar xf job-archive-demo.tar\n    84→./cc-backend -init-db -add-user demo:admin:demo -loglevel info\n    85→./cc-backend -server -dev -loglevel info\n    86→```\n    87→\n    88→You can access the web interface at [http://localhost:8080](http://localhost:8080).\n    89→Credentials for login are `demo:demo`.\n    90→Please note that some views do not work without a metric backend (e.g., the\n    91→Analysis, Systems and Status views).\n    92→\n    93→## How to build and run\n    94→\n    95→There is a Makefile to automate the build of cc-backend. The Makefile supports\n    96→the following targets:\n    97→\n    98→- `make`: Initialize `var` directory and build svelte frontend and backend\n    99→  binary. Note that there is no proper prerequisite handling. Any change of\n   100→  frontend source files will result in a complete rebuild.\n   101→- `make clean`: Clean go build cache and remove binary.\n   102→- `make test`: Run the tests that are also run in the GitHub workflow setup.\n   103→\n   104→A common workflow for setting up cc-backend from scratch is:\n   105→\n   106→```sh\n   107→git clone https://github.com/ClusterCockpit/cc-backend.git\n   108→\n   109→# Build binary\n   110→cd ./cc-backend/\n   111→make\n   112→\n   113→# EDIT THE .env FILE BEFORE YOU DEPLOY (Change the secrets)!\n   114→# If authentication is disabled, it can be empty.\n   115→cp configs/env-template.txt  .env\n   116→vim .env\n   117→\n   118→cp configs/config.json .\n   119→vim config.json\n   120→\n   121→#Optional: Link an existing job archive:\n   122→ln -s <your-existing-job-archive> ./var/job-archive\n   123→\n   124→# This will first initialize the job.db database by traversing all\n   125→# `meta.json` files in the job-archive and add a new user.\n   126→./cc-backend -init-db -add-user <your-username>:admin:<your-password>\n   127→\n   128→# Start a HTTP server (HTTPS can be enabled in the configuration, the default port is 8080).\n   129→# The --dev flag enables GraphQL Playground (http://localhost:8080/playground) and Swagger UI (http://localhost:8080/swagger).\n   130→./cc-backend -server  -dev\n   131→\n   132→# Show other options:\n   133→./cc-backend -help\n   134→```\n   135→\n   136→## Database Configuration\n   137→\n   138→cc-backend uses SQLite as its database. For large installations, SQLite memory\n   139→usage can be tuned via the optional `db-config` section in config.json under\n   140→`main`:\n   141→\n   142→```json\n   143→{\n   144→  \"main\": {\n   145→    \"db\": \"./var/job.db\",\n   146→    \"db-config\": {\n   147→      \"cache-size-mb\": 2048,\n   148→      \"soft-heap-limit-mb\": 16384,\n   149→      \"max-open-connections\": 4,\n   150→      \"max-idle-connections\": 4,\n   151→      \"max-idle-time-minutes\": 10\n   152→    }\n   153→  }\n   154→}\n   155→```\n   156→\n   157→All fields are optional. If `db-config` is omitted entirely, built-in defaults\n   158→are used.\n   159→\n   160→### Options\n   161→\n   162→| Option                  | Default | Description                                                                                                                                                                             |\n   163→| ----------------------- | ------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n   164→| `cache-size-mb`         | 2048    | SQLite page cache size per connection in MB. Maps to `PRAGMA cache_size`. Total cache memory is up to `cache-size-mb × max-open-connections`.                                           |\n   165→| `soft-heap-limit-mb`    | 16384   | Process-wide SQLite soft heap limit in MB. SQLite will try to release cache pages to stay under this limit. Queries won't fail if exceeded, but cache eviction becomes more aggressive. |\n   166→| `max-open-connections`  | 4       | Maximum number of open database connections.                                                                                                                                            |\n   167→| `max-idle-connections`  | 4       | Maximum number of idle database connections kept in the pool.                                                                                                                           |\n   168→| `max-idle-time-minutes` | 10      | Maximum time in minutes a connection can sit idle before being closed.                                                                                                                  |\n   169→\n   170→### Sizing Guidelines\n   171→\n   172→SQLite's `cache_size` is a **per-connection** setting — each connection\n   173→maintains its own independent page cache. With multiple connections, the total\n   174→memory available for caching is the sum across all connections.\n   175→\n   176→In practice, different connections tend to cache **different pages** (e.g., one\n   177→handles a job listing query while another runs a statistics aggregation), so\n   178→their caches naturally spread across the database. The formula\n   179→`DB_size / max-open-connections` gives enough per-connection cache that the\n   180→combined caches can cover the entire database.\n   181→\n   182→However, this is a best-case estimate. Connections running similar queries will\n   183→cache the same pages redundantly. In the worst case (all connections caching\n   184→identical pages), only `cache-size-mb` worth of unique data is cached rather\n   185→than `cache-size-mb × max-open-connections`. For workloads with diverse\n   186→concurrent queries, cache overlap is typically low.\n   187→\n   188→**Rules of thumb:**\n   189→\n   190→- **cache-size-mb**: Set to `DB_size_in_MB / max-open-connections` to allow the\n   191→  entire database to be cached in memory. For example, an 80GB database with 8\n   192→  connections needs at least 10240 MB (10GB) per connection. If your workload\n   193→  has many similar concurrent queries, consider setting it higher to account for\n   194→  cache overlap between connections.\n   195→\n   196→- **soft-heap-limit-mb**: Should be >= `cache-size-mb × max-open-connections` to\n   197→  avoid cache thrashing. This is the total SQLite memory budget for the process.\n   198→- On small installations the defaults work well. On servers with large databases\n   199→  (tens of GB) and plenty of RAM, increasing these values significantly improves\n   200→  query performance by reducing disk I/O.\n   201→\n   202→### Example: Large Server (512GB RAM, 80GB database)\n   203→\n   204→```json\n   205→{\n   206→  \"main\": {\n   207→    \"db-config\": {\n   208→      \"cache-size-mb\": 16384,\n   209→      \"soft-heap-limit-mb\": 131072,\n   210→      \"max-open-connections\": 8,\n   211→      \"max-idle-time-minutes\": 30\n   212→    }\n   213→  }\n   214→}\n   215→```\n   216→\n   217→This allows the entire 80GB database to be cached (8 × 16GB = 128GB page cache)\n   218→with a 128GB soft heap limit, using about 25% of available RAM.\n   219→\n   220→The effective configuration is logged at startup for verification.\n   221→\n   222→## Project file structure\n   223→\n   224→- [`.github/`](https://github.com/ClusterCockpit/cc-backend/tree/master/.github)\n   225→  GitHub Actions workflows and dependabot configuration for CI/CD.\n   226→- [`api/`](https://github.com/ClusterCockpit/cc-backend/tree/master/api)\n   227→  contains the API schema files for the REST and GraphQL APIs. The REST API is\n   228→  documented in the OpenAPI 3.0 format in\n   229→  [./api/swagger.yaml](./api/swagger.yaml). The GraphQL schema is in\n   230→  [./api/schema.graphqls](./api/schema.graphqls).\n   231→- [`cmd/cc-backend`](https://github.com/ClusterCockpit/cc-backend/tree/master/cmd/cc-backend)\n   232→  contains the main application entry point and CLI implementation.\n   233→- [`configs/`](https://github.com/ClusterCockpit/cc-backend/tree/master/configs)\n   234→  contains documentation about configuration and command line options and required\n   235→  environment variables. Sample configuration files are provided.\n   236→- [`init/`](https://github.com/ClusterCockpit/cc-backend/tree/master/init)\n   237→  contains an example of setting up systemd for production use.\n   238→- [`internal/`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal)\n   239→  contains library source code that is not intended for use by others.\n   240→  - [`api`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/api)\n   241→    REST API handlers and NATS integration\n   242→  - [`archiver`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/archiver)\n   243→    Job archiving functionality\n   244→  - [`auth`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/auth)\n   245→    Authentication (local, LDAP, OIDC) and JWT token handling\n   246→  - [`config`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/config)\n   247→    Configuration management and validation\n   248→  - [`graph`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/graph)\n   249→    GraphQL schema and resolvers\n   250→  - [`importer`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/importer)\n   251→    Job data import and database initialization\n   252→  - [`metricdispatch`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricdispatch)\n   253→    Dispatches metric data loading to appropriate backends\n   254→  - [`repository`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/repository)\n   255→    Database repository layer for jobs and metadata\n   256→  - [`routerConfig`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/routerConfig)\n   257→    HTTP router configuration and middleware\n   258→  - [`tagger`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/tagger)\n   259→    Job classification and application detection\n   260→  - [`taskmanager`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/taskmanager)\n   261→    Background task management and scheduled jobs\n   262→  - [`metricstoreclient`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricstoreclient)\n   263→    Client for cc-metric-store queries\n   264→- [`pkg/`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg)\n   265→  contains Go packages that can be used by other projects.\n   266→  - [`archive`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/archive)\n   267→    Job archive backend implementations (filesystem, S3, SQLite)\n   268→  - [`metricstore`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/metricstore)\n   269→    In-memory metric data store with checkpointing and metric loading\n   270→- [`tools/`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools)\n   271→  Additional command line helper tools.\n   272→  - [`archive-manager`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-manager)\n   273→    Commands for getting infos about an existing job archive, importing jobs\n   274→    between archive backends, and converting archives between JSON and Parquet formats.\n   275→  - [`archive-migration`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-migration)\n   276→    Tool for migrating job archives between formats.\n   277→  - [`convert-pem-pubkey`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/convert-pem-pubkey)\n   278→    Tool to convert external pubkey for use in `cc-backend`.\n   279→  - [`gen-keypair`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/gen-keypair)\n   280→    contains a small application to generate a compatible JWT keypair. You find\n   281→    documentation on how to use it\n   282→    [here](https://github.com/ClusterCockpit/cc-backend/blob/master/docs/JWT-Handling.md).\n   283→- [`web/`](https://github.com/ClusterCockpit/cc-backend/tree/master/web)\n   284→  Server-side templates and frontend-related files:\n   285→  - [`frontend`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/frontend)\n   286→    Svelte components and static assets for the frontend UI\n   287→  - [`templates`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/templates)\n   288→    Server-side Go templates, including monitoring views\n   289→- [`gqlgen.yml`](https://github.com/ClusterCockpit/cc-backend/blob/master/gqlgen.yml)\n   290→  Configures the behaviour and generation of\n   291→  [gqlgen](https://github.com/99designs/gqlgen).\n   292→- [`startDemo.sh`](https://github.com/ClusterCockpit/cc-backend/blob/master/startDemo.sh)\n   293→  is a shell script that sets up demo data, and builds and starts `cc-backend`.\n   294→"}]},"uuid":"4cd9f95b-f808-4a37-a113-308032c74511","timestamp":"2026-03-16T10:27:19.687Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/README.md","content":"# NOTE\n\nWhile we do our best to keep the master branch in a usable state, there is no guarantee the master branch works.\nPlease do not use it for production!\n\nPlease have a look at the [Release\nNotes](https://github.com/ClusterCockpit/cc-backend/blob/master/ReleaseNotes.md)\nfor breaking changes!\n\n# ClusterCockpit REST and GraphQL API backend\n\n[![Build](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml/badge.svg)](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml)\n\nThis is a Golang backend implementation for a REST and GraphQL API according to\nthe [ClusterCockpit\nspecifications](https://github.com/ClusterCockpit/cc-specifications). It also\nincludes a web interface for ClusterCockpit. This implementation replaces the\nprevious PHP Symfony based ClusterCockpit web interface. The reasons for\nswitching from PHP Symfony to a Golang based solution are explained\n[here](https://github.com/ClusterCockpit/ClusterCockpit/wiki/Why-we-switched-from-PHP-Symfony-to-a-Golang-based-solution).\n\n## Overview\n\nThis is a Golang web backend for the ClusterCockpit job-specific performance\nmonitoring framework. It provides a REST API and an optional NATS-based messaging\nAPI for integrating ClusterCockpit with an HPC cluster batch system and external\nanalysis scripts. Data exchange between the web front-end and the back-end is\nbased on a GraphQL API. The web frontend is also served by the backend using\n[Svelte](https://svelte.dev/) components. Layout and styling are based on\n[Bootstrap 5](https://getbootstrap.com/) using\n[Bootstrap Icons](https://icons.getbootstrap.com/).\n\nThe backend uses [SQLite 3](https://sqlite.org/) as the relational SQL database.\nWhile there are metric data backends for the InfluxDB and Prometheus time series\ndatabases, the only tested and supported setup is to use cc-metric-store as the\nmetric data backend. Documentation on how to integrate ClusterCockpit with other\ntime series databases will be added in the future.\n\nFor real-time integration with HPC systems, the backend can subscribe to\n[NATS](https://nats.io/) subjects to receive job start/stop events and node\nstate updates, providing an alternative to REST API polling.\n\nCompleted batch jobs are stored in a file-based job archive according to\n[this specification](https://github.com/ClusterCockpit/cc-specifications/tree/master/job-archive).\nThe backend supports authentication via local accounts, an external LDAP\ndirectory, and JWT tokens. Authorization for APIs is implemented with\n[JWT](https://jwt.io/) tokens created with public/private key encryption.\n\nYou find a detailed documentation on the [ClusterCockpit\nWebpage](https://clustercockpit.org).\n\n## Build requirements\n\nClusterCockpit requires a current version of the golang toolchain and node.js.\nYou can check `go.mod` to see what is the current minimal golang version needed.\nHomebrew and Archlinux usually have current golang versions. For other Linux\ndistros this often means that you have to install the golang compiler yourself.\nFortunately, this is easy with golang. Since much of the functionality is based\non the Go standard library, it is crucial for security and performance to use a\ncurrent version of golang. In addition, an old golang toolchain may limit the supported\nversions of third-party packages.\n\n## How to try ClusterCockpit with a demo setup\n\nWe provide a shell script that downloads demo data and automatically starts the\ncc-backend. You will need `wget`, `go`, `node`, `npm` in your path to\nstart the demo. The demo downloads 32MB of data (223MB on disk).\n\n```sh\ngit clone https://github.com/ClusterCockpit/cc-backend.git\ncd ./cc-backend\n./startDemo.sh\n```\n\nYou can also try the demo using the latest release binary.\nCreate a folder and put the release binary `cc-backend` into this folder.\nExecute the following steps:\n\n```shell\n./cc-backend -init\nvim config.json (Add a second cluster entry and name the clusters alex and fritz)\nwget https://hpc-mover.rrze.uni-erlangen.de/HPC-Data/0x7b58aefb/eig7ahyo6fo2bais0ephuf2aitohv1ai/job-archive-demo.tar\ntar xf job-archive-demo.tar\n./cc-backend -init-db -add-user demo:admin:demo -loglevel info\n./cc-backend -server -dev -loglevel info\n```\n\nYou can access the web interface at [http://localhost:8080](http://localhost:8080).\nCredentials for login are `demo:demo`.\nPlease note that some views do not work without a metric backend (e.g., the\nAnalysis, Systems and Status views).\n\n## How to build and run\n\nThere is a Makefile to automate the build of cc-backend. The Makefile supports\nthe following targets:\n\n- `make`: Initialize `var` directory and build svelte frontend and backend\n  binary. Note that there is no proper prerequisite handling. Any change of\n  frontend source files will result in a complete rebuild.\n- `make clean`: Clean go build cache and remove binary.\n- `make test`: Run the tests that are also run in the GitHub workflow setup.\n\nA common workflow for setting up cc-backend from scratch is:\n\n```sh\ngit clone https://github.com/ClusterCockpit/cc-backend.git\n\n# Build binary\ncd ./cc-backend/\nmake\n\n# EDIT THE .env FILE BEFORE YOU DEPLOY (Change the secrets)!\n# If authentication is disabled, it can be empty.\ncp configs/env-template.txt  .env\nvim .env\n\ncp configs/config.json .\nvim config.json\n\n#Optional: Link an existing job archive:\nln -s <your-existing-job-archive> ./var/job-archive\n\n# This will first initialize the job.db database by traversing all\n# `meta.json` files in the job-archive and add a new user.\n./cc-backend -init-db -add-user <your-username>:admin:<your-password>\n\n# Start a HTTP server (HTTPS can be enabled in the configuration, the default port is 8080).\n# The --dev flag enables GraphQL Playground (http://localhost:8080/playground) and Swagger UI (http://localhost:8080/swagger).\n./cc-backend -server  -dev\n\n# Show other options:\n./cc-backend -help\n```\n\n## Database Configuration\n\ncc-backend uses SQLite as its database. For large installations, SQLite memory\nusage can be tuned via the optional `db-config` section in config.json under\n`main`:\n\n```json\n{\n  \"main\": {\n    \"db\": \"./var/job.db\",\n    \"db-config\": {\n      \"cache-size-mb\": 2048,\n      \"soft-heap-limit-mb\": 16384,\n      \"max-open-connections\": 4,\n      \"max-idle-connections\": 4,\n      \"max-idle-time-minutes\": 10\n    }\n  }\n}\n```\n\nAll fields are optional. If `db-config` is omitted entirely, built-in defaults\nare used.\n\n### Options\n\n| Option                  | Default | Description                                                                                                                                                                             |\n| ----------------------- | ------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| `cache-size-mb`         | 2048    | SQLite page cache size per connection in MB. Maps to `PRAGMA cache_size`. Total cache memory is up to `cache-size-mb × max-open-connections`.                                           |\n| `soft-heap-limit-mb`    | 16384   | Process-wide SQLite soft heap limit in MB. SQLite will try to release cache pages to stay under this limit. Queries won't fail if exceeded, but cache eviction becomes more aggressive. |\n| `max-open-connections`  | 4       | Maximum number of open database connections.                                                                                                                                            |\n| `max-idle-connections`  | 4       | Maximum number of idle database connections kept in the pool.                                                                                                                           |\n| `max-idle-time-minutes` | 10      | Maximum time in minutes a connection can sit idle before being closed.                                                                                                                  |\n\n### Sizing Guidelines\n\nSQLite's `cache_size` is a **per-connection** setting — each connection\nmaintains its own independent page cache. With multiple connections, the total\nmemory available for caching is the sum across all connections.\n\nIn practice, different connections tend to cache **different pages** (e.g., one\nhandles a job listing query while another runs a statistics aggregation), so\ntheir caches naturally spread across the database. The formula\n`DB_size / max-open-connections` gives enough per-connection cache that the\ncombined caches can cover the entire database.\n\nHowever, this is a best-case estimate. Connections running similar queries will\ncache the same pages redundantly. In the worst case (all connections caching\nidentical pages), only `cache-size-mb` worth of unique data is cached rather\nthan `cache-size-mb × max-open-connections`. For workloads with diverse\nconcurrent queries, cache overlap is typically low.\n\n**Rules of thumb:**\n\n- **cache-size-mb**: Set to `DB_size_in_MB / max-open-connections` to allow the\n  entire database to be cached in memory. For example, an 80GB database with 8\n  connections needs at least 10240 MB (10GB) per connection. If your workload\n  has many similar concurrent queries, consider setting it higher to account for\n  cache overlap between connections.\n\n- **soft-heap-limit-mb**: Should be >= `cache-size-mb × max-open-connections` to\n  avoid cache thrashing. This is the total SQLite memory budget for the process.\n- On small installations the defaults work well. On servers with large databases\n  (tens of GB) and plenty of RAM, increasing these values significantly improves\n  query performance by reducing disk I/O.\n\n### Example: Large Server (512GB RAM, 80GB database)\n\n```json\n{\n  \"main\": {\n    \"db-config\": {\n      \"cache-size-mb\": 16384,\n      \"soft-heap-limit-mb\": 131072,\n      \"max-open-connections\": 8,\n      \"max-idle-time-minutes\": 30\n    }\n  }\n}\n```\n\nThis allows the entire 80GB database to be cached (8 × 16GB = 128GB page cache)\nwith a 128GB soft heap limit, using about 25% of available RAM.\n\nThe effective configuration is logged at startup for verification.\n\n## Project file structure\n\n- [`.github/`](https://github.com/ClusterCockpit/cc-backend/tree/master/.github)\n  GitHub Actions workflows and dependabot configuration for CI/CD.\n- [`api/`](https://github.com/ClusterCockpit/cc-backend/tree/master/api)\n  contains the API schema files for the REST and GraphQL APIs. The REST API is\n  documented in the OpenAPI 3.0 format in\n  [./api/swagger.yaml](./api/swagger.yaml). The GraphQL schema is in\n  [./api/schema.graphqls](./api/schema.graphqls).\n- [`cmd/cc-backend`](https://github.com/ClusterCockpit/cc-backend/tree/master/cmd/cc-backend)\n  contains the main application entry point and CLI implementation.\n- [`configs/`](https://github.com/ClusterCockpit/cc-backend/tree/master/configs)\n  contains documentation about configuration and command line options and required\n  environment variables. Sample configuration files are provided.\n- [`init/`](https://github.com/ClusterCockpit/cc-backend/tree/master/init)\n  contains an example of setting up systemd for production use.\n- [`internal/`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal)\n  contains library source code that is not intended for use by others.\n  - [`api`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/api)\n    REST API handlers and NATS integration\n  - [`archiver`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/archiver)\n    Job archiving functionality\n  - [`auth`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/auth)\n    Authentication (local, LDAP, OIDC) and JWT token handling\n  - [`config`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/config)\n    Configuration management and validation\n  - [`graph`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/graph)\n    GraphQL schema and resolvers\n  - [`importer`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/importer)\n    Job data import and database initialization\n  - [`metricdispatch`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricdispatch)\n    Dispatches metric data loading to appropriate backends\n  - [`repository`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/repository)\n    Database repository layer for jobs and metadata\n  - [`routerConfig`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/routerConfig)\n    HTTP router configuration and middleware\n  - [`tagger`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/tagger)\n    Job classification and application detection\n  - [`taskmanager`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/taskmanager)\n    Background task management and scheduled jobs\n  - [`metricstoreclient`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricstoreclient)\n    Client for cc-metric-store queries\n- [`pkg/`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg)\n  contains Go packages that can be used by other projects.\n  - [`archive`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/archive)\n    Job archive backend implementations (filesystem, S3, SQLite)\n  - [`metricstore`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/metricstore)\n    In-memory metric data store with checkpointing and metric loading\n- [`tools/`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools)\n  Additional command line helper tools.\n  - [`archive-manager`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-manager)\n    Commands for getting infos about an existing job archive, importing jobs\n    between archive backends, and converting archives between JSON and Parquet formats.\n  - [`archive-migration`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-migration)\n    Tool for migrating job archives between formats.\n  - [`convert-pem-pubkey`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/convert-pem-pubkey)\n    Tool to convert external pubkey for use in `cc-backend`.\n  - [`gen-keypair`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/gen-keypair)\n    contains a small application to generate a compatible JWT keypair. You find\n    documentation on how to use it\n    [here](https://github.com/ClusterCockpit/cc-backend/blob/master/docs/JWT-Handling.md).\n- [`web/`](https://github.com/ClusterCockpit/cc-backend/tree/master/web)\n  Server-side templates and frontend-related files:\n  - [`frontend`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/frontend)\n    Svelte components and static assets for the frontend UI\n  - [`templates`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/templates)\n    Server-side Go templates, including monitoring views\n- [`gqlgen.yml`](https://github.com/ClusterCockpit/cc-backend/blob/master/gqlgen.yml)\n  Configures the behaviour and generation of\n  [gqlgen](https://github.com/99designs/gqlgen).\n- [`startDemo.sh`](https://github.com/ClusterCockpit/cc-backend/blob/master/startDemo.sh)\n  is a shell script that sets up demo data, and builds and starts `cc-backend`.\n","numLines":294,"startLine":1,"totalLines":294}},"sourceToolAssistantUUID":"6f0d52ca-e714-4e0a-bd73-e92dee2c37e1","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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It also\nincludes a web interface for ClusterCockpit. This implementation replaces the\nprevious PHP Symfony based ClusterCockpit web interface. The reasons for\nswitching from PHP Symfony to a Golang based solution are explained\n[here](https://github.com/ClusterCockpit/ClusterCockpit/wiki/Why-we-switched-from-PHP-Symfony-to-a-Golang-based-solution).\n\n## Overview\n\nThis is a Golang web backend for the ClusterCockpit job-specific performance\nmonitoring framework. It provides a REST API and an optional NATS-based messaging\nAPI for integrating ClusterCockpit with an HPC cluster batch system and external\nanalysis scripts. Data exchange between the web front-end and the back-end is\nbased on a GraphQL API. The web frontend is also served by the backend using\n[Svelte](https://svelte.dev/) components. Layout and styling are based on\n[Bootstrap 5](https://getbootstrap.com/) using\n[Bootstrap Icons](https://icons.getbootstrap.com/).\n\nThe backend uses [SQLite 3](https://sqlite.org/) as the relational SQL database.\nWhile there are metric data backends for the InfluxDB and Prometheus time series\ndatabases, the only tested and supported setup is to use cc-metric-store as the\nmetric data backend. Documentation on how to integrate ClusterCockpit with other\ntime series databases will be added in the future.\n\nFor real-time integration with HPC systems, the backend can subscribe to\n[NATS](https://nats.io/) subjects to receive job start/stop events and node\nstate updates, providing an alternative to REST API polling.\n\nCompleted batch jobs are stored in a file-based job archive according to\n[this specification](https://github.com/ClusterCockpit/cc-specifications/tree/master/job-archive).\nThe backend supports authentication via local accounts, an external LDAP\ndirectory, and JWT tokens. Authorization for APIs is implemented with\n[JWT](https://jwt.io/) tokens created with public/private key encryption.\n\nYou find a detailed documentation on the [ClusterCockpit\nWebpage](https://clustercockpit.org).\n\n## Build requirements\n\nClusterCockpit requires a current version of the golang toolchain and node.js.\nYou can check `go.mod` to see what is the current minimal golang version needed.\nHomebrew and Archlinux usually have current golang versions. For other Linux\ndistros this often means that you have to install the golang compiler yourself.\nFortunately, this is easy with golang. Since much of the functionality is based\non the Go standard library, it is crucial for security and performance to use a\ncurrent version of golang. In addition, an old golang toolchain may limit the supported\nversions of third-party packages.\n\n## How to try ClusterCockpit with a demo setup\n\nWe provide a shell script that downloads demo data and automatically starts the\ncc-backend. You will need `wget`, `go`, `node`, `npm` in your path to\nstart the demo. The demo downloads 32MB of data (223MB on disk).\n\n```sh\ngit clone https://github.com/ClusterCockpit/cc-backend.git\ncd ./cc-backend\n./startDemo.sh\n```\n\nYou can also try the demo using the latest release binary.\nCreate a folder and put the release binary `cc-backend` into this folder.\nExecute the following steps:\n\n```shell\n./cc-backend -init\nvim config.json (Add a second cluster entry and name the clusters alex and fritz)\nwget https://hpc-mover.rrze.uni-erlangen.de/HPC-Data/0x7b58aefb/eig7ahyo6fo2bais0ephuf2aitohv1ai/job-archive-demo.tar\ntar xf job-archive-demo.tar\n./cc-backend -init-db -add-user demo:admin:demo -loglevel info\n./cc-backend -server -dev -loglevel info\n```\n\nYou can access the web interface at [http://localhost:8080](http://localhost:8080).\nCredentials for login are `demo:demo`.\nPlease note that some views do not work without a metric backend (e.g., the\nAnalysis, Systems and Status views).\n\n## How to build and run\n\nThere is a Makefile to automate the build of cc-backend. The Makefile supports\nthe following targets:\n\n- `make`: Initialize `var` directory and build svelte frontend and backend\n  binary. Note that there is no proper prerequisite handling. Any change of\n  frontend source files will result in a complete rebuild.\n- `make clean`: Clean go build cache and remove binary.\n- `make test`: Run the tests that are also run in the GitHub workflow setup.\n\nA common workflow for setting up cc-backend from scratch is:\n\n```sh\ngit clone https://github.com/ClusterCockpit/cc-backend.git\n\n# Build binary\ncd ./cc-backend/\nmake\n\n# EDIT THE .env FILE BEFORE YOU DEPLOY (Change the secrets)!\n# If authentication is disabled, it can be empty.\ncp configs/env-template.txt  .env\nvim .env\n\ncp configs/config.json .\nvim config.json\n\n#Optional: Link an existing job archive:\nln -s <your-existing-job-archive> ./var/job-archive\n\n# This will first initialize the job.db database by traversing all\n# `meta.json` files in the job-archive and add a new user.\n./cc-backend -init-db -add-user <your-username>:admin:<your-password>\n\n# Start a HTTP server (HTTPS can be enabled in the configuration, the default port is 8080).\n# The --dev flag enables GraphQL Playground (http://localhost:8080/playground) and Swagger UI (http://localhost:8080/swagger).\n./cc-backend -server  -dev\n\n# Show other options:\n./cc-backend -help\n```\n\n## Database Configuration\n\ncc-backend uses SQLite as its database. For large installations, SQLite memory\nusage can be tuned via the optional `db-config` section in config.json under\n`main`:\n\n```json\n{\n  \"main\": {\n    \"db\": \"./var/job.db\",\n    \"db-config\": {\n      \"cache-size-mb\": 2048,\n      \"soft-heap-limit-mb\": 16384,\n      \"max-open-connections\": 4,\n      \"max-idle-connections\": 4,\n      \"max-idle-time-minutes\": 10\n    }\n  }\n}\n```\n\nAll fields are optional. If `db-config` is omitted entirely, built-in defaults\nare used.\n\n### Options\n\n| Option                  | Default | Description                                                                                                                                                                             |\n| ----------------------- | ------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| `cache-size-mb`         | 2048    | SQLite page cache size per connection in MB. Maps to `PRAGMA cache_size`. Total cache memory is up to `cache-size-mb × max-open-connections`.                                           |\n| `soft-heap-limit-mb`    | 16384   | Process-wide SQLite soft heap limit in MB. SQLite will try to release cache pages to stay under this limit. Queries won't fail if exceeded, but cache eviction becomes more aggressive. |\n| `max-open-connections`  | 4       | Maximum number of open database connections.                                                                                                                                            |\n| `max-idle-connections`  | 4       | Maximum number of idle database connections kept in the pool.                                                                                                                           |\n| `max-idle-time-minutes` | 10      | Maximum time in minutes a connection can sit idle before being closed.                                                                                                                  |\n\n### Sizing Guidelines\n\nSQLite's `cache_size` is a **per-connection** setting — each connection\nmaintains its own independent page cache. With multiple connections, the total\nmemory available for caching is the sum across all connections.\n\nIn practice, different connections tend to cache **different pages** (e.g., one\nhandles a job listing query while another runs a statistics aggregation), so\ntheir caches naturally spread across the database. The formula\n`DB_size / max-open-connections` gives enough per-connection cache that the\ncombined caches can cover the entire database.\n\nHowever, this is a best-case estimate. Connections running similar queries will\ncache the same pages redundantly. In the worst case (all connections caching\nidentical pages), only `cache-size-mb` worth of unique data is cached rather\nthan `cache-size-mb × max-open-connections`. For workloads with diverse\nconcurrent queries, cache overlap is typically low.\n\n**Rules of thumb:**\n\n- **cache-size-mb**: Set to `DB_size_in_MB / max-open-connections` to allow the\n  entire database to be cached in memory. For example, an 80GB database with 8\n  connections needs at least 10240 MB (10GB) per connection. If your workload\n  has many similar concurrent queries, consider setting it higher to account for\n  cache overlap between connections.\n\n- **soft-heap-limit-mb**: Should be >= `cache-size-mb × max-open-connections` to\n  avoid cache thrashing. This is the total SQLite memory budget for the process.\n- On small installations the defaults work well. On servers with large databases\n  (tens of GB) and plenty of RAM, increasing these values significantly improves\n  query performance by reducing disk I/O.\n\n### Example: Large Server (512GB RAM, 80GB database)\n\n```json\n{\n  \"main\": {\n    \"db-config\": {\n      \"cache-size-mb\": 16384,\n      \"soft-heap-limit-mb\": 131072,\n      \"max-open-connections\": 8,\n      \"max-idle-time-minutes\": 30\n    }\n  }\n}\n```\n\nThis allows the entire 80GB database to be cached (8 × 16GB = 128GB page cache)\nwith a 128GB soft heap limit, using about 25% of available RAM.\n\nThe effective configuration is logged at startup for verification.\n\n## Project file structure\n\n- [`.github/`](https://github.com/ClusterCockpit/cc-backend/tree/master/.github)\n  GitHub Actions workflows and dependabot configuration for CI/CD.\n- [`api/`](https://github.com/ClusterCockpit/cc-backend/tree/master/api)\n  contains the API schema files for the REST and GraphQL APIs. The REST API is\n  documented in the OpenAPI 3.0 format in\n  [./api/swagger.yaml](./api/swagger.yaml). The GraphQL schema is in\n  [./api/schema.graphqls](./api/schema.graphqls).\n- [`cmd/cc-backend`](https://github.com/ClusterCockpit/cc-backend/tree/master/cmd/cc-backend)\n  contains the main application entry point and CLI implementation.\n- [`configs/`](https://github.com/ClusterCockpit/cc-backend/tree/master/configs)\n  contains documentation about configuration and command line options and required\n  environment variables. Sample configuration files are provided.\n- [`init/`](https://github.com/ClusterCockpit/cc-backend/tree/master/init)\n  contains an example of setting up systemd for production use.\n- [`internal/`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal)\n  contains library source code that is not intended for use by others.\n  - [`api`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/api)\n    REST API handlers and NATS integration\n  - [`archiver`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/archiver)\n    Job archiving functionality\n  - [`auth`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/auth)\n    Authentication (local, LDAP, OIDC) and JWT token handling\n  - [`config`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/config)\n    Configuration management and validation\n  - [`graph`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/graph)\n    GraphQL schema and resolvers\n  - [`importer`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/importer)\n    Job data import and database initialization\n  - [`metricdispatch`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricdispatch)\n    Dispatches metric data loading to appropriate backends\n  - [`repository`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/repository)\n    Database repository layer for jobs and metadata\n  - [`routerConfig`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/routerConfig)\n    HTTP router configuration and middleware\n  - [`tagger`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/tagger)\n    Job classification and application detection\n  - [`taskmanager`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/taskmanager)\n    Background task management and scheduled jobs\n  - [`metricstoreclient`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricstoreclient)\n    Client for cc-metric-store queries\n- [`pkg/`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg)\n  contains Go packages that can be used by other projects.\n  - [`archive`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/archive)\n    Job archive backend implementations (filesystem, S3, SQLite)\n  - [`metricstore`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/metricstore)\n    In-memory metric data store with checkpointing and metric loading\n- [`tools/`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools)\n  Additional command line helper tools.\n  - [`archive-manager`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-manager)\n    Commands for getting infos about an existing job archive, importing jobs\n    between archive backends, and converting archives between JSON and Parquet formats.\n  - [`archive-migration`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-migration)\n    Tool for migrating job archives between formats.\n  - [`convert-pem-pubkey`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/convert-pem-pubkey)\n    Tool to convert external pubkey for use in `cc-backend`.\n  - [`gen-keypair`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/gen-keypair)\n    contains a small application to generate a compatible JWT keypair. You find\n    documentation on how to use it\n    [here](https://github.com/ClusterCockpit/cc-backend/blob/master/docs/JWT-Handling.md).\n- [`web/`](https://github.com/ClusterCockpit/cc-backend/tree/master/web)\n  Server-side templates and frontend-related files:\n  - [`frontend`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/frontend)\n    Svelte components and static assets for the frontend UI\n  - [`templates`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/templates)\n    Server-side Go templates, including monitoring views\n- [`gqlgen.yml`](https://github.com/ClusterCockpit/cc-backend/blob/master/gqlgen.yml)\n  Configures the behaviour and generation of\n  [gqlgen](https://github.com/99designs/gqlgen).\n- [`startDemo.sh`](https://github.com/ClusterCockpit/cc-backend/blob/master/startDemo.sh)\n  is a shell script that sets up demo data, and builds and starts `cc-backend`.\n","structuredPatch":[{"oldStart":148,"oldLines":7,"newStart":148,"newLines":8,"lines":["       \"soft-heap-limit-mb\": 16384,","       \"max-open-connections\": 4,","       \"max-idle-connections\": 4,","-      \"max-idle-time-minutes\": 10","+      \"max-idle-time-minutes\": 10,","+      \"busy-timeout-ms\": 60000","     }","   }"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"f5637273-bc1f-435e-988b-c23545b9baf5","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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When a write is blocked by another writer, SQLite retries internally with backoff for up to this duration before returning `SQLITE_BUSY`.          |","originalFile":"# NOTE\n\nWhile we do our best to keep the master branch in a usable state, there is no guarantee the master branch works.\nPlease do not use it for production!\n\nPlease have a look at the [Release\nNotes](https://github.com/ClusterCockpit/cc-backend/blob/master/ReleaseNotes.md)\nfor breaking changes!\n\n# ClusterCockpit REST and GraphQL API backend\n\n[![Build](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml/badge.svg)](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml)\n\nThis is a Golang backend implementation for a REST and GraphQL API according to\nthe [ClusterCockpit\nspecifications](https://github.com/ClusterCockpit/cc-specifications). It also\nincludes a web interface for ClusterCockpit. This implementation replaces the\nprevious PHP Symfony based ClusterCockpit web interface. The reasons for\nswitching from PHP Symfony to a Golang based solution are explained\n[here](https://github.com/ClusterCockpit/ClusterCockpit/wiki/Why-we-switched-from-PHP-Symfony-to-a-Golang-based-solution).\n\n## Overview\n\nThis is a Golang web backend for the ClusterCockpit job-specific performance\nmonitoring framework. It provides a REST API and an optional NATS-based messaging\nAPI for integrating ClusterCockpit with an HPC cluster batch system and external\nanalysis scripts. Data exchange between the web front-end and the back-end is\nbased on a GraphQL API. The web frontend is also served by the backend using\n[Svelte](https://svelte.dev/) components. Layout and styling are based on\n[Bootstrap 5](https://getbootstrap.com/) using\n[Bootstrap Icons](https://icons.getbootstrap.com/).\n\nThe backend uses [SQLite 3](https://sqlite.org/) as the relational SQL database.\nWhile there are metric data backends for the InfluxDB and Prometheus time series\ndatabases, the only tested and supported setup is to use cc-metric-store as the\nmetric data backend. Documentation on how to integrate ClusterCockpit with other\ntime series databases will be added in the future.\n\nFor real-time integration with HPC systems, the backend can subscribe to\n[NATS](https://nats.io/) subjects to receive job start/stop events and node\nstate updates, providing an alternative to REST API polling.\n\nCompleted batch jobs are stored in a file-based job archive according to\n[this specification](https://github.com/ClusterCockpit/cc-specifications/tree/master/job-archive).\nThe backend supports authentication via local accounts, an external LDAP\ndirectory, and JWT tokens. Authorization for APIs is implemented with\n[JWT](https://jwt.io/) tokens created with public/private key encryption.\n\nYou find a detailed documentation on the [ClusterCockpit\nWebpage](https://clustercockpit.org).\n\n## Build requirements\n\nClusterCockpit requires a current version of the golang toolchain and node.js.\nYou can check `go.mod` to see what is the current minimal golang version needed.\nHomebrew and Archlinux usually have current golang versions. For other Linux\ndistros this often means that you have to install the golang compiler yourself.\nFortunately, this is easy with golang. Since much of the functionality is based\non the Go standard library, it is crucial for security and performance to use a\ncurrent version of golang. In addition, an old golang toolchain may limit the supported\nversions of third-party packages.\n\n## How to try ClusterCockpit with a demo setup\n\nWe provide a shell script that downloads demo data and automatically starts the\ncc-backend. You will need `wget`, `go`, `node`, `npm` in your path to\nstart the demo. The demo downloads 32MB of data (223MB on disk).\n\n```sh\ngit clone https://github.com/ClusterCockpit/cc-backend.git\ncd ./cc-backend\n./startDemo.sh\n```\n\nYou can also try the demo using the latest release binary.\nCreate a folder and put the release binary `cc-backend` into this folder.\nExecute the following steps:\n\n```shell\n./cc-backend -init\nvim config.json (Add a second cluster entry and name the clusters alex and fritz)\nwget https://hpc-mover.rrze.uni-erlangen.de/HPC-Data/0x7b58aefb/eig7ahyo6fo2bais0ephuf2aitohv1ai/job-archive-demo.tar\ntar xf job-archive-demo.tar\n./cc-backend -init-db -add-user demo:admin:demo -loglevel info\n./cc-backend -server -dev -loglevel info\n```\n\nYou can access the web interface at [http://localhost:8080](http://localhost:8080).\nCredentials for login are `demo:demo`.\nPlease note that some views do not work without a metric backend (e.g., the\nAnalysis, Systems and Status views).\n\n## How to build and run\n\nThere is a Makefile to automate the build of cc-backend. The Makefile supports\nthe following targets:\n\n- `make`: Initialize `var` directory and build svelte frontend and backend\n  binary. Note that there is no proper prerequisite handling. Any change of\n  frontend source files will result in a complete rebuild.\n- `make clean`: Clean go build cache and remove binary.\n- `make test`: Run the tests that are also run in the GitHub workflow setup.\n\nA common workflow for setting up cc-backend from scratch is:\n\n```sh\ngit clone https://github.com/ClusterCockpit/cc-backend.git\n\n# Build binary\ncd ./cc-backend/\nmake\n\n# EDIT THE .env FILE BEFORE YOU DEPLOY (Change the secrets)!\n# If authentication is disabled, it can be empty.\ncp configs/env-template.txt  .env\nvim .env\n\ncp configs/config.json .\nvim config.json\n\n#Optional: Link an existing job archive:\nln -s <your-existing-job-archive> ./var/job-archive\n\n# This will first initialize the job.db database by traversing all\n# `meta.json` files in the job-archive and add a new user.\n./cc-backend -init-db -add-user <your-username>:admin:<your-password>\n\n# Start a HTTP server (HTTPS can be enabled in the configuration, the default port is 8080).\n# The --dev flag enables GraphQL Playground (http://localhost:8080/playground) and Swagger UI (http://localhost:8080/swagger).\n./cc-backend -server  -dev\n\n# Show other options:\n./cc-backend -help\n```\n\n## Database Configuration\n\ncc-backend uses SQLite as its database. For large installations, SQLite memory\nusage can be tuned via the optional `db-config` section in config.json under\n`main`:\n\n```json\n{\n  \"main\": {\n    \"db\": \"./var/job.db\",\n    \"db-config\": {\n      \"cache-size-mb\": 2048,\n      \"soft-heap-limit-mb\": 16384,\n      \"max-open-connections\": 4,\n      \"max-idle-connections\": 4,\n      \"max-idle-time-minutes\": 10,\n      \"busy-timeout-ms\": 60000\n    }\n  }\n}\n```\n\nAll fields are optional. If `db-config` is omitted entirely, built-in defaults\nare used.\n\n### Options\n\n| Option                  | Default | Description                                                                                                                                                                             |\n| ----------------------- | ------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| `cache-size-mb`         | 2048    | SQLite page cache size per connection in MB. Maps to `PRAGMA cache_size`. Total cache memory is up to `cache-size-mb × max-open-connections`.                                           |\n| `soft-heap-limit-mb`    | 16384   | Process-wide SQLite soft heap limit in MB. SQLite will try to release cache pages to stay under this limit. Queries won't fail if exceeded, but cache eviction becomes more aggressive. |\n| `max-open-connections`  | 4       | Maximum number of open database connections.                                                                                                                                            |\n| `max-idle-connections`  | 4       | Maximum number of idle database connections kept in the pool.                                                                                                                           |\n| `max-idle-time-minutes` | 10      | Maximum time in minutes a connection can sit idle before being closed.                                                                                                                  |\n\n### Sizing Guidelines\n\nSQLite's `cache_size` is a **per-connection** setting — each connection\nmaintains its own independent page cache. With multiple connections, the total\nmemory available for caching is the sum across all connections.\n\nIn practice, different connections tend to cache **different pages** (e.g., one\nhandles a job listing query while another runs a statistics aggregation), so\ntheir caches naturally spread across the database. The formula\n`DB_size / max-open-connections` gives enough per-connection cache that the\ncombined caches can cover the entire database.\n\nHowever, this is a best-case estimate. Connections running similar queries will\ncache the same pages redundantly. In the worst case (all connections caching\nidentical pages), only `cache-size-mb` worth of unique data is cached rather\nthan `cache-size-mb × max-open-connections`. For workloads with diverse\nconcurrent queries, cache overlap is typically low.\n\n**Rules of thumb:**\n\n- **cache-size-mb**: Set to `DB_size_in_MB / max-open-connections` to allow the\n  entire database to be cached in memory. For example, an 80GB database with 8\n  connections needs at least 10240 MB (10GB) per connection. If your workload\n  has many similar concurrent queries, consider setting it higher to account for\n  cache overlap between connections.\n\n- **soft-heap-limit-mb**: Should be >= `cache-size-mb × max-open-connections` to\n  avoid cache thrashing. This is the total SQLite memory budget for the process.\n- On small installations the defaults work well. On servers with large databases\n  (tens of GB) and plenty of RAM, increasing these values significantly improves\n  query performance by reducing disk I/O.\n\n### Example: Large Server (512GB RAM, 80GB database)\n\n```json\n{\n  \"main\": {\n    \"db-config\": {\n      \"cache-size-mb\": 16384,\n      \"soft-heap-limit-mb\": 131072,\n      \"max-open-connections\": 8,\n      \"max-idle-time-minutes\": 30\n    }\n  }\n}\n```\n\nThis allows the entire 80GB database to be cached (8 × 16GB = 128GB page cache)\nwith a 128GB soft heap limit, using about 25% of available RAM.\n\nThe effective configuration is logged at startup for verification.\n\n## Project file structure\n\n- [`.github/`](https://github.com/ClusterCockpit/cc-backend/tree/master/.github)\n  GitHub Actions workflows and dependabot configuration for CI/CD.\n- [`api/`](https://github.com/ClusterCockpit/cc-backend/tree/master/api)\n  contains the API schema files for the REST and GraphQL APIs. The REST API is\n  documented in the OpenAPI 3.0 format in\n  [./api/swagger.yaml](./api/swagger.yaml). The GraphQL schema is in\n  [./api/schema.graphqls](./api/schema.graphqls).\n- [`cmd/cc-backend`](https://github.com/ClusterCockpit/cc-backend/tree/master/cmd/cc-backend)\n  contains the main application entry point and CLI implementation.\n- [`configs/`](https://github.com/ClusterCockpit/cc-backend/tree/master/configs)\n  contains documentation about configuration and command line options and required\n  environment variables. Sample configuration files are provided.\n- [`init/`](https://github.com/ClusterCockpit/cc-backend/tree/master/init)\n  contains an example of setting up systemd for production use.\n- [`internal/`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal)\n  contains library source code that is not intended for use by others.\n  - [`api`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/api)\n    REST API handlers and NATS integration\n  - [`archiver`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/archiver)\n    Job archiving functionality\n  - [`auth`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/auth)\n    Authentication (local, LDAP, OIDC) and JWT token handling\n  - [`config`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/config)\n    Configuration management and validation\n  - [`graph`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/graph)\n    GraphQL schema and resolvers\n  - [`importer`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/importer)\n    Job data import and database initialization\n  - [`metricdispatch`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricdispatch)\n    Dispatches metric data loading to appropriate backends\n  - [`repository`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/repository)\n    Database repository layer for jobs and metadata\n  - [`routerConfig`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/routerConfig)\n    HTTP router configuration and middleware\n  - [`tagger`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/tagger)\n    Job classification and application detection\n  - [`taskmanager`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/taskmanager)\n    Background task management and scheduled jobs\n  - [`metricstoreclient`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricstoreclient)\n    Client for cc-metric-store queries\n- [`pkg/`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg)\n  contains Go packages that can be used by other projects.\n  - [`archive`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/archive)\n    Job archive backend implementations (filesystem, S3, SQLite)\n  - [`metricstore`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/metricstore)\n    In-memory metric data store with checkpointing and metric loading\n- [`tools/`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools)\n  Additional command line helper tools.\n  - [`archive-manager`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-manager)\n    Commands for getting infos about an existing job archive, importing jobs\n    between archive backends, and converting archives between JSON and Parquet formats.\n  - [`archive-migration`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-migration)\n    Tool for migrating job archives between formats.\n  - [`convert-pem-pubkey`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/convert-pem-pubkey)\n    Tool to convert external pubkey for use in `cc-backend`.\n  - [`gen-keypair`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/gen-keypair)\n    contains a small application to generate a compatible JWT keypair. You find\n    documentation on how to use it\n    [here](https://github.com/ClusterCockpit/cc-backend/blob/master/docs/JWT-Handling.md).\n- [`web/`](https://github.com/ClusterCockpit/cc-backend/tree/master/web)\n  Server-side templates and frontend-related files:\n  - [`frontend`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/frontend)\n    Svelte components and static assets for the frontend UI\n  - [`templates`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/templates)\n    Server-side Go templates, including monitoring views\n- [`gqlgen.yml`](https://github.com/ClusterCockpit/cc-backend/blob/master/gqlgen.yml)\n  Configures the behaviour and generation of\n  [gqlgen](https://github.com/99designs/gqlgen).\n- [`startDemo.sh`](https://github.com/ClusterCockpit/cc-backend/blob/master/startDemo.sh)\n  is a shell script that sets up demo data, and builds and starts `cc-backend`.\n","structuredPatch":[{"oldStart":167,"oldLines":6,"newStart":167,"newLines":7,"lines":[" | `max-open-connections`  | 4       | Maximum number of open database connections.                                                                                                                                            |"," | `max-idle-connections`  | 4       | Maximum number of idle database connections kept in the pool.                                                                                                                           |"," | `max-idle-time-minutes` | 10      | Maximum time in minutes a connection can sit idle before being closed.                                                                                                                  |","+| `busy-timeout-ms`       | 60000   | SQLite busy timeout in milliseconds. 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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package config implements the program configuration data structures, validation and parsing\npackage config\n\nimport (\n\t\"bytes\"\n\t\"encoding/json\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n)\n\ntype ProgramConfig struct {\n\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n\tAddr string `json:\"addr\"`\n\n\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n\n\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n\n\t// Drop root permissions once .env was read and the port was taken.\n\tUser  string `json:\"user\"`\n\tGroup string `json:\"group\"`\n\n\t// Disable authentication (for everything: API, Web-UI, ...)\n\tDisableAuthentication bool `json:\"disable-authentication\"`\n\n\t// If `embed-static-files` is true (default), the frontend files are directly\n\t// embeded into the go binary and expected to be in web/frontend. Only if\n\t// it is false the files in `static-files` are served instead.\n\tEmbedStaticFiles bool   `json:\"embed-static-files\"`\n\tStaticFiles      string `json:\"static-files\"`\n\n\t// Path to SQLite database file\n\tDB string `json:\"db\"`\n\n\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n\n\t// Validate json input against schema\n\tValidate bool `json:\"validate\"`\n\n\t// If 0 or empty, the session does not expire!\n\tSessionMaxAge string `json:\"session-max-age\"`\n\n\t// If both those options are not empty, use HTTPS using those certificates.\n\tHTTPSCertFile string `json:\"https-cert-file\"`\n\tHTTPSKeyFile  string `json:\"https-key-file\"`\n\n\t// If not the empty string and `addr` does not end in \":80\",\n\t// redirect every request incoming at port 80 to that url.\n\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n\n\t// Where to store MachineState files\n\tMachineStateDir string `json:\"machine-state-dir\"`\n\n\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n\n\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n\n\t// Energy Mix CO2 Emission Constant [g/kWh]\n\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n\tEmissionConstant int `json:\"emission-constant\"`\n\n\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n\tEnableResampling *ResampleConfig `json:\"resampling\"`\n\n\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n\tSystemdUnit string `json:\"systemd-unit\"`\n\n\t// Node state retention configuration\n\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n\n\t// Database tuning configuration\n\tDbConfig *DbConfig `json:\"db-config\"`\n}\n\ntype DbConfig struct {\n\tCacheSizeMB               int `json:\"cache-size-mb\"`\n\tSoftHeapLimitMB           int `json:\"soft-heap-limit-mb\"`\n\tMaxOpenConnections        int `json:\"max-open-connections\"`\n\tMaxIdleConnections        int `json:\"max-idle-connections\"`\n\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n}\n\ntype NodeStateRetention struct {\n\tPolicy             string `json:\"policy\"`      // \"delete\" or \"move\"\n\tAge                int    `json:\"age\"`         // hours, default 24\n\tTargetKind         string `json:\"target-kind\"` // \"file\" or \"s3\"\n\tTargetPath         string `json:\"target-path\"`\n\tTargetEndpoint     string `json:\"target-endpoint\"`\n\tTargetBucket       string `json:\"target-bucket\"`\n\tTargetAccessKey    string `json:\"target-access-key\"`\n\tTargetSecretKey    string `json:\"target-secret-key\"`\n\tTargetRegion       string `json:\"target-region\"`\n\tTargetUsePathStyle bool   `json:\"target-use-path-style\"`\n\tMaxFileSizeMB      int    `json:\"max-file-size-mb\"`\n}\n\ntype ResampleConfig struct {\n\t// Minimum number of points to trigger resampling of data\n\tMinimumPoints int `json:\"minimum-points\"`\n\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n\tResolutions []int `json:\"resolutions\"`\n\t// Trigger next zoom level at less than this many visible datapoints\n\tTrigger int `json:\"trigger\"`\n}\n\ntype NATSConfig struct {\n\tSubjectJobEvent  string `json:\"subject-job-event\"`\n\tSubjectNodeState string `json:\"subject-node-state\"`\n}\n\ntype IntRange struct {\n\tFrom int `json:\"from\"`\n\tTo   int `json:\"to\"`\n}\n\ntype TimeRange struct {\n\tFrom  *time.Time `json:\"from\"`\n\tTo    *time.Time `json:\"to\"`\n\tRange string     `json:\"range,omitempty\"`\n}\n\ntype FilterRanges struct {\n\tDuration  *IntRange  `json:\"duration\"`\n\tNumNodes  *IntRange  `json:\"num-nodes\"`\n\tStartTime *TimeRange `json:\"start-time\"`\n}\n\nvar Keys ProgramConfig = ProgramConfig{\n\tAddr:                      \"localhost:8080\",\n\tEmbedStaticFiles:          true,\n\tDB:                        \"./var/job.db\",\n\tSessionMaxAge:             \"168h\",\n\tStopJobsExceedingWalltime: 0,\n\tShortRunningJobsDuration:  5 * 60,\n}\n\nfunc Init(mainConfig json.RawMessage) {\n\tValidate(configSchema, mainConfig)\n\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&Keys); err != nil {\n\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n\t}\n\n\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n\t}\n}\n","structuredPatch":[{"oldStart":88,"oldLines":6,"newStart":88,"newLines":7,"lines":["   MaxOpenConnections        int `json:\"max-open-connections\"`","   MaxIdleConnections        int `json:\"max-idle-connections\"`","   ConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`","+  BusyTimeoutMs             int `json:\"busy-timeout-ms\"`"," }"," "," type NodeStateRetention struct {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"fa3d9149-dc5b-4815-bfed-c1b24d44d971","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package main provides the entry point for the ClusterCockpit backend server.\n// It orchestrates initialization of all subsystems including configuration,\n// database, authentication, and the HTTP server.\npackage main\n\nimport (\n\t\"context\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"os/signal\"\n\t\"runtime/debug\"\n\t\"strings\"\n\t\"sync\"\n\t\"syscall\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/taskmanager\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\t\"github.com/ClusterCockpit/cc-backend/web\"\n\tccconf \"github.com/ClusterCockpit/cc-lib/v2/ccConfig\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t\"github.com/google/gops/agent\"\n\t\"github.com/joho/godotenv\"\n\n\t_ \"github.com/mattn/go-sqlite3\"\n)\n\nconst logoString = `\n _____ _           _             ____           _          _ _\n/  ___| |_   _ ___| |_ ___ _ __ / ___|___   ___| | ___ __ (_) |_\n| |   | | | | / __| __/ _ \\ '__| |   / _ \\ / __| |/ / '_ \\| | __|\n| |___| | |_| \\__ \\ ||  __/ |  | |__| (_) | (__|   <| |_) | | |_\n\\_____|_|\\__,_|___/\\__\\___|_|   \\____\\___/ \\___|_|\\_\\ .__/|_|\\__|\n                                                    |_|\n`\n\n// Environment variable names\nconst (\n\tenvGOGC = \"GOGC\"\n)\n\n// Default configurations\nconst (\n\tdefaultArchiveConfig = `{\"kind\":\"file\",\"path\":\"./var/job-archive\"}`\n)\n\nvar (\n\tdate    string\n\tcommit  string\n\tversion string\n)\n\nfunc printVersion() {\n\tfmt.Print(logoString)\n\tfmt.Printf(\"Version:\\t%s\\n\", version)\n\tfmt.Printf(\"Git hash:\\t%s\\n\", commit)\n\tfmt.Printf(\"Build time:\\t%s\\n\", date)\n\tfmt.Printf(\"SQL db version:\\t%d\\n\", repository.Version)\n\tfmt.Printf(\"Job archive version:\\t%d\\n\", archive.Version)\n}\n\nfunc initGops() error {\n\tif !flagGops {\n\t\treturn nil\n\t}\n\n\tif err := agent.Listen(agent.Options{}); err != nil {\n\t\treturn fmt.Errorf(\"starting gops agent: %w\", err)\n\t}\n\treturn nil\n}\n\nfunc loadEnvironment() error {\n\tif err := godotenv.Load(); err != nil {\n\t\treturn fmt.Errorf(\"loading .env file: %w\", err)\n\t}\n\treturn nil\n}\n\nfunc initConfiguration() error {\n\tccconf.Init(flagConfigFile)\n\n\tcfg := ccconf.GetPackageConfig(\"main\")\n\tif cfg == nil {\n\t\treturn fmt.Errorf(\"main configuration must be present\")\n\t}\n\n\tconfig.Init(cfg)\n\treturn nil\n}\n\nfunc initDatabase() error {\n\tif config.Keys.DbConfig != nil {\n\t\tcfg := repository.DefaultConfig()\n\t\tdc := config.Keys.DbConfig\n\t\tif dc.CacheSizeMB > 0 {\n\t\t\tcfg.DbCacheSizeMB = dc.CacheSizeMB\n\t\t}\n\t\tif dc.SoftHeapLimitMB > 0 {\n\t\t\tcfg.DbSoftHeapLimitMB = dc.SoftHeapLimitMB\n\t\t}\n\t\tif dc.MaxOpenConnections > 0 {\n\t\t\tcfg.MaxOpenConnections = dc.MaxOpenConnections\n\t\t}\n\t\tif dc.MaxIdleConnections > 0 {\n\t\t\tcfg.MaxIdleConnections = dc.MaxIdleConnections\n\t\t}\n\t\tif dc.ConnectionMaxIdleTimeMins > 0 {\n\t\t\tcfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute\n\t\t}\n\t\trepository.SetConfig(cfg)\n\t}\n\trepository.Connect(config.Keys.DB)\n\treturn nil\n}\n\nfunc handleDatabaseCommands() error {\n\tif flagMigrateDB {\n\t\terr := repository.MigrateDB(config.Keys.DB)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"migrating database to version %d: %w\", repository.Version, err)\n\t\t}\n\t\tcclog.Exitf(\"MigrateDB Success: Migrated SQLite database at '%s' to version %d.\\n\",\n\t\t\tconfig.Keys.DB, repository.Version)\n\t}\n\n\tif flagRevertDB {\n\t\terr := repository.RevertDB(config.Keys.DB)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"reverting database to version %d: %w\", repository.Version-1, err)\n\t\t}\n\t\tcclog.Exitf(\"RevertDB Success: Reverted SQLite database at '%s' to version %d.\\n\",\n\t\t\tconfig.Keys.DB, repository.Version-1)\n\t}\n\n\tif flagForceDB {\n\t\terr := repository.ForceDB(config.Keys.DB)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"forcing database to version %d: %w\", repository.Version, err)\n\t\t}\n\t\tcclog.Exitf(\"ForceDB Success: Forced SQLite database at '%s' to version %d.\\n\",\n\t\t\tconfig.Keys.DB, repository.Version)\n\t}\n\n\treturn nil\n}\n\nfunc handleUserCommands() error {\n\tif config.Keys.DisableAuthentication && (flagNewUser != \"\" || flagDelUser != \"\") {\n\t\treturn fmt.Errorf(\"--add-user and --del-user can only be used if authentication is enabled\")\n\t}\n\n\tif !config.Keys.DisableAuthentication {\n\t\tif cfg := ccconf.GetPackageConfig(\"auth\"); cfg != nil {\n\t\t\tauth.Init(&cfg)\n\t\t} else {\n\t\t\tcclog.Warn(\"Authentication disabled due to missing configuration\")\n\t\t\tauth.Init(nil)\n\t\t}\n\n\t\t// Check for default security keys\n\t\tcheckDefaultSecurityKeys()\n\n\t\tif flagNewUser != \"\" {\n\t\t\tif err := addUser(flagNewUser); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\n\t\tif flagDelUser != \"\" {\n\t\t\tif err := delUser(flagDelUser); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\n\t\tauthHandle := auth.GetAuthInstance()\n\n\t\tif flagSyncLDAP {\n\t\t\tif err := syncLDAP(authHandle); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\n\t\tif flagGenJWT != \"\" {\n\t\t\tif err := generateJWT(authHandle, flagGenJWT); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// checkDefaultSecurityKeys warns if default JWT keys are detected\nfunc checkDefaultSecurityKeys() {\n\t// Default JWT public key from init.go\n\tdefaultJWTPublic := \"REDACTED\"\n\n\tif os.Getenv(\"JWT_PUBLIC_KEY\") == defaultJWTPublic {\n\t\tcclog.Warn(\"Using default JWT keys - not recommended for production environments\")\n\t}\n}\n\nfunc addUser(userSpec string) error {\n\tparts := strings.SplitN(userSpec, \":\", 3)\n\tif len(parts) != 3 || len(parts[0]) == 0 {\n\t\treturn fmt.Errorf(\"invalid user format, want: <username>:[admin,support,manager,api,user]:<password>, have: %s\", userSpec)\n\t}\n\n\tur := repository.GetUserRepository()\n\tif err := ur.AddUser(&schema.User{\n\t\tUsername: parts[0],\n\t\tProjects: make([]string, 0),\n\t\tPassword: parts[2],\n\t\tRoles:    strings.Split(parts[1], \",\"),\n\t}); err != nil {\n\t\treturn fmt.Errorf(\"adding user '%s' with roles '%s': %w\", parts[0], parts[1], err)\n\t}\n\n\tcclog.Infof(\"Add User: Added new user '%s' with roles '%s'\", parts[0], parts[1])\n\treturn nil\n}\n\nfunc delUser(username string) error {\n\tur := repository.GetUserRepository()\n\tif err := ur.DelUser(username); err != nil {\n\t\treturn fmt.Errorf(\"deleting user '%s': %w\", username, err)\n\t}\n\tcclog.Infof(\"Delete User: Deleted user '%s' from DB\", username)\n\treturn nil\n}\n\nfunc syncLDAP(authHandle *auth.Authentication) error {\n\tif authHandle.LdapAuth == nil {\n\t\treturn fmt.Errorf(\"LDAP authentication is not configured\")\n\t}\n\n\tif err := authHandle.LdapAuth.Sync(); err != nil {\n\t\treturn fmt.Errorf(\"synchronizing LDAP: %w\", err)\n\t}\n\n\tcclog.Print(\"Sync LDAP: LDAP synchronization successfull.\")\n\treturn nil\n}\n\nfunc generateJWT(authHandle *auth.Authentication, username string) error {\n\tur := repository.GetUserRepository()\n\tuser, err := ur.GetUser(username)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"getting user '%s': %w\", username, err)\n\t}\n\n\tif !user.HasRole(schema.RoleAPI) {\n\t\tcclog.Warnf(\"JWT: User '%s' does not have the role 'api'. REST API endpoints will return error!\\n\", user.Username)\n\t}\n\n\tjwt, err := authHandle.JwtAuth.ProvideJWT(user)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"generating JWT for user '%s': %w\", user.Username, err)\n\t}\n\n\tcclog.Printf(\"JWT: Successfully generated JWT for user '%s': %s\\n\", user.Username, jwt)\n\treturn nil\n}\n\nfunc initSubsystems() error {\n\t// Initialize nats client\n\tnatsConfig := ccconf.GetPackageConfig(\"nats\")\n\tif err := nats.Init(natsConfig); err != nil {\n\t\tcclog.Warnf(\"initializing (optional) nats client: %s\", err.Error())\n\t}\n\tnats.Connect()\n\n\t// Initialize job archive\n\tarchiveCfg := ccconf.GetPackageConfig(\"archive\")\n\tif archiveCfg == nil {\n\t\tcclog.Debug(\"Archive configuration not found, using default archive configuration\")\n\t\tarchiveCfg = json.RawMessage(defaultArchiveConfig)\n\t}\n\tif err := archive.Init(archiveCfg); err != nil {\n\t\treturn fmt.Errorf(\"initializing archive: %w\", err)\n\t}\n\n\t// Handle database re-initialization\n\tif flagReinitDB {\n\t\tif err := importer.InitDB(); err != nil {\n\t\t\treturn fmt.Errorf(\"re-initializing repository DB: %w\", err)\n\t\t}\n\t\tcclog.Print(\"Init DB: Successfully re-initialized repository DB.\")\n\t}\n\n\t// Handle job import\n\tif flagImportJob != \"\" {\n\t\tif err := importer.HandleImportFlag(flagImportJob); err != nil {\n\t\t\treturn fmt.Errorf(\"importing job: %w\", err)\n\t\t}\n\t\tcclog.Infof(\"Import Job: Imported Job '%s' into DB\", flagImportJob)\n\t}\n\n\t// Initialize taggers\n\tif config.Keys.EnableJobTaggers {\n\t\ttagger.Init()\n\t}\n\n\t// Apply tags if requested\n\tif flagApplyTags {\n\t\ttagger.Init()\n\n\t\tif err := tagger.RunTaggers(); err != nil {\n\t\t\treturn fmt.Errorf(\"running job taggers: %w\", err)\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc runServer(ctx context.Context) error {\n\tvar wg sync.WaitGroup\n\n\t// Initialize metric store if configuration is provided\n\thaveMetricstore := false\n\tmscfg := ccconf.GetPackageConfig(\"metric-store\")\n\tif mscfg != nil {\n\t\tmetrics := metricstore.BuildMetricList()\n\t\tmetricstore.Init(mscfg, metrics, &wg)\n\n\t\t// Inject repository as NodeProvider to break import cycle\n\t\tms := metricstore.GetMemoryStore()\n\t\tjobRepo := repository.GetJobRepository()\n\t\tms.SetNodeProvider(jobRepo)\n\t\tmetricstore.MetricStoreHandle = &metricstore.InternalMetricStore{}\n\t\thaveMetricstore = true\n\t} else {\n\t\tmetricstore.MetricStoreHandle = nil\n\t\tcclog.Debug(\"missing internal metricstore configuration\")\n\t}\n\n\t// Initialize external metric stores if configuration is provided\n\tmscfg = ccconf.GetPackageConfig(\"metric-store-external\")\n\tif mscfg != nil {\n\t\terr := metricdispatch.Init(mscfg)\n\n\t\tif err != nil {\n\t\t\tcclog.Debugf(\"error while initializing external metricdispatch: %v\", err)\n\t\t} else {\n\t\t\thaveMetricstore = true\n\t\t}\n\t}\n\n\tif !haveMetricstore {\n\t\treturn fmt.Errorf(\"missing metricstore configuration\")\n\t}\n\n\t// Start archiver and task manager\n\tarchiver.Start(repository.GetJobRepository(), ctx)\n\ttaskmanager.Start(ccconf.GetPackageConfig(\"cron\"), ccconf.GetPackageConfig(\"archive\"))\n\n\t// Initialize web UI\n\tcfg := ccconf.GetPackageConfig(\"ui\")\n\tif err := web.Init(cfg); err != nil {\n\t\treturn fmt.Errorf(\"initializing web UI: %w\", err)\n\t}\n\n\t// Initialize HTTP server\n\tsrv, err := NewServer(version, commit, date)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"creating server: %w\", err)\n\t}\n\n\t// Channel to collect errors from server\n\terrChan := make(chan error, 1)\n\n\t// Start HTTP server\n\twg.Go(func() {\n\t\tif err := srv.Start(ctx); err != nil {\n\t\t\terrChan <- err\n\t\t}\n\t})\n\n\t// Handle shutdown signals\n\twg.Add(1)\n\tsigs := make(chan os.Signal, 1)\n\tsignal.Notify(sigs, syscall.SIGINT, syscall.SIGTERM)\n\tgo func() {\n\t\tdefer wg.Done()\n\t\tselect {\n\t\tcase <-sigs:\n\t\t\tcclog.Info(\"Shutdown signal received\")\n\t\tcase <-ctx.Done():\n\t\t}\n\n\t\truntime.SystemdNotify(false, \"Shutting down ...\")\n\t\tsrv.Shutdown(ctx)\n\t\tutil.FsWatcherShutdown()\n\t\ttaskmanager.Shutdown()\n\t}()\n\n\t// Set GC percent if not configured\n\tif os.Getenv(envGOGC) == \"\" {\n\t\t// trigger GC when heap grows 15% above the previous live set\n\t\tdebug.SetGCPercent(15)\n\t}\n\truntime.SystemdNotify(true, \"running\")\n\n\twaitDone := make(chan struct{})\n\tgo func() {\n\t\twg.Wait()\n\t\tclose(waitDone)\n\t}()\n\n\tgo func() {\n\t\t<-waitDone\n\t\tclose(errChan)\n\t}()\n\n\t// Wait for either:\n\t// 1. An error from server startup\n\t// 2. Completion of all goroutines (normal shutdown or crash)\n\tselect {\n\tcase err := <-errChan:\n\t\t// errChan will be closed when waitDone is closed, which happens\n\t\t// when all goroutines complete (either from normal shutdown or error)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\tcase <-time.After(100 * time.Millisecond):\n\t\t// Give the server 100ms to start and report any immediate startup errors\n\t\t// After that, just wait for normal shutdown completion\n\t\tselect {\n\t\tcase err := <-errChan:\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\tcase <-waitDone:\n\t\t\t// Normal shutdown completed\n\t\t}\n\t}\n\n\tcclog.Print(\"Graceful shutdown completed!\")\n\treturn nil\n}\n\nfunc run() error {\n\tcliInit()\n\n\tif flagVersion {\n\t\tprintVersion()\n\t\treturn nil\n\t}\n\n\t// Initialize logger\n\tcclog.Init(flagLogLevel, flagLogDateTime)\n\n\t// Handle init flag\n\tif flagInit {\n\t\tinitEnv()\n\t\tcclog.Exit(\"Successfully setup environment!\\n\" +\n\t\t\t\"Please review config.json and .env and adjust it to your needs.\\n\" +\n\t\t\t\"Add your job-archive at ./var/job-archive.\")\n\t}\n\n\t// Initialize gops agent\n\tif err := initGops(); err != nil {\n\t\treturn err\n\t}\n\n\t// Initialize subsystems in dependency order:\n\t// 1. 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diff --git a/81/097a6c52a2/0/metadata.json b/81/097a6c52a2/0/metadata.json
new file mode 100644
index 00000000..8bd5c4dc
--- /dev/null
+++ b/81/097a6c52a2/0/metadata.json
@@ -0,0 +1,36 @@
+{
+  "cli_version": "0.5.0",
+  "checkpoint_id": "81097a6c52a2",
+  "session_id": "3a41c7a4-abf8-484b-96ae-ee5618eea5ba",
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+  "branch": "hotfix",
+  "checkpoints_count": 2,
+  "files_touched": [
+    "README.md",
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+    "internal/config/config.go",
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+  ],
+  "agent": "Claude Code",
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+  "session_metrics": {
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+}
diff --git a/81/097a6c52a2/0/prompt.txt b/81/097a6c52a2/0/prompt.txt
new file mode 100644
index 00000000..05b200b9
--- /dev/null
+++ b/81/097a6c52a2/0/prompt.txt
@@ -0,0 +1,5 @@
+Are there other opportunities to reduce the insert pressure on the db using transactions or other techniques?
+
+---
+
+Update the Database config section in the README to reflect the new setting
\ No newline at end of file
diff --git a/81/097a6c52a2/metadata.json b/81/097a6c52a2/metadata.json
new file mode 100644
index 00000000..bbe571df
--- /dev/null
+++ b/81/097a6c52a2/metadata.json
@@ -0,0 +1,28 @@
+{
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+  "checkpoints_count": 2,
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+      "transcript": "/81/097a6c52a2/0/full.jsonl",
+      "content_hash": "/81/097a6c52a2/0/content_hash.txt",
+      "prompt": "/81/097a6c52a2/0/prompt.txt"
+    }
+  ],
+  "token_usage": {
+    "input_tokens": 55,
+    "cache_creation_tokens": 122203,
+    "cache_read_tokens": 4629600,
+    "output_tokens": 17587,
+    "api_call_count": 45
+  }
+}
diff --git a/85/8b34ef56b8/0/content_hash.txt b/85/8b34ef56b8/0/content_hash.txt
new file mode 100644
index 00000000..0e6142df
--- /dev/null
+++ b/85/8b34ef56b8/0/content_hash.txt
@@ -0,0 +1 @@
+sha256:759250a16880d93d21fe76c34a6df6f66e6f077f5d0696f456150a6e10bdf5d4
\ No newline at end of file
diff --git a/85/8b34ef56b8/0/context.md b/85/8b34ef56b8/0/context.md
new file mode 100644
index 00000000..04022c84
--- /dev/null
+++ b/85/8b34ef56b8/0/context.md
@@ -0,0 +1,22 @@
+# Session Context
+
+## User Prompts
+
+### Prompt 1
+
+Implement the following plan:
+
+# Plan: Improve scanJob logging
+
+## Context
+
+`scanJob` in `internal/repository/job.go` (line 162) logs a `Warn` for every scan error, including the very common `sql.ErrNoRows` case. This produces noisy, unhelpful log lines like:
+
+```
+WARN Error while scanning rows (Job): sql: no rows in result set
+```
+
+Two problems:
+1. `sql.ErrNoRows` is a normal, expected condition (callers are documented to check for it). It should not produce a warning.
+2. When a real scan er...
+
diff --git a/85/8b34ef56b8/0/full.jsonl b/85/8b34ef56b8/0/full.jsonl
new file mode 100644
index 00000000..524bdc73
--- /dev/null
+++ b/85/8b34ef56b8/0/full.jsonl
@@ -0,0 +1,34 @@
+{"type":"file-history-snapshot","messageId":"0ee65114-d1fe-4419-b9ac-248b3919e8cd","snapshot":{"messageId":"0ee65114-d1fe-4419-b9ac-248b3919e8cd","trackedFileBackups":{},"timestamp":"2026-03-16T19:01:26.368Z"},"isSnapshotUpdate":false}
+{"parentUuid":null,"isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"eb3f389d-6f47-4c3e-bc72-48d08cbad97c","toolUseID":"eb3f389d-6f47-4c3e-bc72-48d08cbad97c","timestamp":"2026-03-16T19:01:26.327Z","uuid":"cc80828f-fa12-4dfa-9e4c-a05b3293de6c","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
+{"parentUuid":"cc80828f-fa12-4dfa-9e4c-a05b3293de6c","isSidechain":false,"promptId":"652c48e5-2f9a-4604-a66a-0690cd2d0027","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Plan: Improve scanJob logging\n\n## Context\n\n`scanJob` in `internal/repository/job.go` (line 162) logs a `Warn` for every scan error, including the very common `sql.ErrNoRows` case. This produces noisy, unhelpful log lines like:\n\n```\nWARN Error while scanning rows (Job): sql: no rows in result set\n```\n\nTwo problems:\n1. `sql.ErrNoRows` is a normal, expected condition (callers are documented to check for it). It should not produce a warning.\n2. When a real scan error does occur, there's no call-site context — you can't tell which of the ~10 callers triggered it.\n\nThe codebase already has a precedent for using `runtime.Caller(1)` in `internal/api/rest.go:188` to include file/line in log messages.\n\n## Approach\n\nModify `scanJob` in `internal/repository/job.go`:\n\n1. **Skip logging for `sql.ErrNoRows`** — return the error silently. All callers already handle this case themselves.\n2. **Add caller context** for real scan errors using `runtime.Caller(1)` — include `file:line` in the warning message.\n\n```go\nimport (\n    \"database/sql\"\n    \"path/filepath\"\n    \"runtime\"\n    // existing imports ...\n)\n\nfunc scanJob(row interface{ Scan(...any) error }) (*schema.Job, error) {\n    job := &schema.Job{}\n\n    if err := row.Scan(...); err != nil {\n        if err != sql.ErrNoRows {\n            _, file, line, _ := runtime.Caller(1)\n            cclog.Warnf(\"Error while scanning rows (Job) (%s:%d): %v\", filepath.Base(file), line, err)\n        }\n        return nil, err\n    }\n    // ... rest unchanged\n}\n```\n\n## Critical File\n\n- `internal/repository/job.go` — only file to change (lines 154–184)\n\n## Imports to check\n\n`database/sql` is likely already imported (used elsewhere in the package). `runtime` and `path/filepath` — check if already present; add if not.\n\n## Verification\n\n1. `go build ./...` — must compile cleanly\n2. `go test ./internal/repository/...` — existing tests must pass\n3. Manually: trigger a lookup for a non-existent job ID; confirm no warning is logged\n4. Manually (or via test): force a real scan error; confirm warning includes `job.go:<line>`\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-CC-cc-backend/b03f52bf-e58e-45a2-8b95-af846938ee2c.jsonl"},"uuid":"0ee65114-d1fe-4419-b9ac-248b3919e8cd","timestamp":"2026-03-16T19:01:26.222Z","planContent":"# Plan: Improve scanJob logging\n\n## Context\n\n`scanJob` in `internal/repository/job.go` (line 162) logs a `Warn` for every scan error, including the very common `sql.ErrNoRows` case. This produces noisy, unhelpful log lines like:\n\n```\nWARN Error while scanning rows (Job): sql: no rows in result set\n```\n\nTwo problems:\n1. `sql.ErrNoRows` is a normal, expected condition (callers are documented to check for it). It should not produce a warning.\n2. When a real scan error does occur, there's no call-site context — you can't tell which of the ~10 callers triggered it.\n\nThe codebase already has a precedent for using `runtime.Caller(1)` in `internal/api/rest.go:188` to include file/line in log messages.\n\n## Approach\n\nModify `scanJob` in `internal/repository/job.go`:\n\n1. **Skip logging for `sql.ErrNoRows`** — return the error silently. All callers already handle this case themselves.\n2. **Add caller context** for real scan errors using `runtime.Caller(1)` — include `file:line` in the warning message.\n\n```go\nimport (\n    \"database/sql\"\n    \"path/filepath\"\n    \"runtime\"\n    // existing imports ...\n)\n\nfunc scanJob(row interface{ Scan(...any) error }) (*schema.Job, error) {\n    job := &schema.Job{}\n\n    if err := row.Scan(...); err != nil {\n        if err != sql.ErrNoRows {\n            _, file, line, _ := runtime.Caller(1)\n            cclog.Warnf(\"Error while scanning rows (Job) (%s:%d): %v\", filepath.Base(file), line, err)\n        }\n        return nil, err\n    }\n    // ... rest unchanged\n}\n```\n\n## Critical File\n\n- `internal/repository/job.go` — only file to change (lines 154–184)\n\n## Imports to check\n\n`database/sql` is likely already imported (used elsewhere in the package). `runtime` and `path/filepath` — check if already present; add if not.\n\n## Verification\n\n1. `go build ./...` — must compile cleanly\n2. `go test ./internal/repository/...` — existing tests must pass\n3. Manually: trigger a lookup for a non-existent job ID; confirm no warning is logged\n4. Manually (or via test): force a real scan error; confirm warning includes `job.go:<line>`\n","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
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+{"parentUuid":"f3033a28-80b1-4fc0-87d0-63077950cf6b","isSidechain":false,"promptId":"652c48e5-2f9a-4604-a66a-0690cd2d0027","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012VxnUSTXy84zUjoZzr85aV","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package repository provides the data access layer for cc-backend using the repository pattern.\n     7→//\n     8→// The repository pattern abstracts database operations and provides a clean interface for\n     9→// data access. Each major entity (Job, User, Node, Tag) has its own repository with CRUD\n    10→// operations and specialized queries.\n    11→//\n    12→// # Database Connection\n    13→//\n    14→// Initialize the database connection before using any repository:\n    15→//\n    16→//\trepository.Connect(\"sqlite3\", \"./var/job.db\")\n    17→//\n    18→// # Configuration\n    19→//\n    20→// Optional: Configure repository settings before initialization:\n    21→//\n    22→//\trepository.SetConfig(&repository.RepositoryConfig{\n    23→//\t    CacheSize: 2 * 1024 * 1024,     // 2MB cache\n    24→//\t    MaxOpenConnections: 8,           // Connection pool size\n    25→//\t    MinRunningJobDuration: 300,      // Filter threshold\n    26→//\t})\n    27→//\n    28→// If not configured, sensible defaults are used automatically.\n    29→//\n    30→// # Repositories\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"9c6618b2-e115-43d1-8e55-72802989137a","timestamp":"2026-03-16T19:01:30.039Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/job.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package repository provides the data access layer for cc-backend using the repository pattern.\n//\n// The repository pattern abstracts database operations and provides a clean interface for\n// data access. Each major entity (Job, User, Node, Tag) has its own repository with CRUD\n// operations and specialized queries.\n//\n// # Database Connection\n//\n// Initialize the database connection before using any repository:\n//\n//\trepository.Connect(\"sqlite3\", \"./var/job.db\")\n//\n// # Configuration\n//\n// Optional: Configure repository settings before initialization:\n//\n//\trepository.SetConfig(&repository.RepositoryConfig{\n//\t    CacheSize: 2 * 1024 * 1024,     // 2MB cache\n//\t    MaxOpenConnections: 8,           // Connection pool size\n//\t    MinRunningJobDuration: 300,      // Filter threshold\n//\t})\n//\n// If not configured, sensible defaults are used automatically.\n//\n// # Repositories","numLines":30,"startLine":1,"totalLines":1137}},"sourceToolAssistantUUID":"f3033a28-80b1-4fc0-87d0-63077950cf6b","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
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+{"parentUuid":"89bfb382-4d30-4fdb-b861-2e2f5271cdb0","isSidechain":false,"promptId":"652c48e5-2f9a-4604-a66a-0690cd2d0027","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0179dJZbW863dAxmrn69ouWL","type":"tool_result","content":"    30→// # Repositories\n    31→//\n    32→//   - JobRepository: Job lifecycle management and querying\n    33→//   - UserRepository: User management and authentication\n    34→//   - NodeRepository: Cluster node state tracking\n    35→//   - Tags: Job tagging and categorization\n    36→//\n    37→// # Caching\n    38→//\n    39→// Repositories use LRU caching to improve performance. Cache keys are constructed\n    40→// as \"type:id\" (e.g., \"metadata:123\"). Cache is automatically invalidated on\n    41→// mutations to maintain consistency.\n    42→//\n    43→// # Transaction Support\n    44→//\n    45→// For batch operations, use transactions:\n    46→//\n    47→//\tt, err := jobRepo.TransactionInit()\n    48→//\tif err != nil {\n    49→//\t    return err\n    50→//\t}\n    51→//\tdefer t.Rollback() // Rollback if not committed\n    52→//\n    53→//\t// Perform operations...\n    54→//\tjobRepo.TransactionAdd(t, query, args...)\n    55→//\n    56→//\t// Commit when done\n    57→//\tif err := t.Commit(); err != nil {\n    58→//\t    return err\n    59→//\t}\n    60→package repository\n    61→\n    62→import (\n    63→\t\"database/sql\"\n    64→\t\"encoding/json\"\n    65→\t\"errors\"\n    66→\t\"fmt\"\n    67→\t\"maps\"\n    68→\t\"math\"\n    69→\t\"sort\"\n    70→\t\"strconv\"\n    71→\t\"sync\"\n    72→\t\"time\"\n    73→\n    74→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    75→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    76→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n    77→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    78→\tsq \"github.com/Masterminds/squirrel\"\n    79→\t\"github.com/jmoiron/sqlx\"\n    80→)\n    81→\n    82→var (\n    83→\t// jobRepoOnce ensures singleton initialization of the JobRepository\n    84→\tjobRepoOnce sync.Once\n    85→\t// jobRepoInstance holds the single instance of JobRepository\n    86→\tjobRepoInstance *JobRepository\n    87→)\n    88→\n    89→// JobRepository provides database access for job-related operations.\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"34c2c229-cd7d-42a0-b724-de822e2d6358","timestamp":"2026-03-16T19:01:33.127Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/job.go","content":"// # Repositories\n//\n//   - JobRepository: Job lifecycle management and querying\n//   - UserRepository: User management and authentication\n//   - NodeRepository: Cluster node state tracking\n//   - Tags: Job tagging and categorization\n//\n// # Caching\n//\n// Repositories use LRU caching to improve performance. Cache keys are constructed\n// as \"type:id\" (e.g., \"metadata:123\"). Cache is automatically invalidated on\n// mutations to maintain consistency.\n//\n// # Transaction Support\n//\n// For batch operations, use transactions:\n//\n//\tt, err := jobRepo.TransactionInit()\n//\tif err != nil {\n//\t    return err\n//\t}\n//\tdefer t.Rollback() // Rollback if not committed\n//\n//\t// Perform operations...\n//\tjobRepo.TransactionAdd(t, query, args...)\n//\n//\t// Commit when done\n//\tif err := t.Commit(); err != nil {\n//\t    return err\n//\t}\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"maps\"\n\t\"math\"\n\t\"sort\"\n\t\"strconv\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\t// jobRepoOnce ensures singleton initialization of the JobRepository\n\tjobRepoOnce sync.Once\n\t// jobRepoInstance holds the single instance of JobRepository\n\tjobRepoInstance *JobRepository\n)\n\n// JobRepository provides database access for job-related operations.","numLines":60,"startLine":30,"totalLines":1137}},"sourceToolAssistantUUID":"89bfb382-4d30-4fdb-b861-2e2f5271cdb0","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
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+{"parentUuid":"d794b7a8-bd3b-4636-a95b-9a41347d8c29","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01TUQYJ3NK6LzyDKZnNQnXVt","toolUseID":"toolu_01TUQYJ3NK6LzyDKZnNQnXVt","timestamp":"2026-03-16T19:01:35.776Z","uuid":"71d6fcd0-6d7e-4ba6-be86-1ab3e5e12100","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
+{"parentUuid":"d794b7a8-bd3b-4636-a95b-9a41347d8c29","isSidechain":false,"promptId":"652c48e5-2f9a-4604-a66a-0690cd2d0027","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TUQYJ3NK6LzyDKZnNQnXVt","type":"tool_result","content":"   150→// Parameters:\n   151→//   - row: Database row implementing Scan() interface (sql.Row or sql.Rows)\n   152→//\n   153→// Returns the populated Job struct or an error if scanning or unmarshaling fails.\n   154→func scanJob(row interface{ Scan(...any) error }) (*schema.Job, error) {\n   155→\tjob := &schema.Job{}\n   156→\n   157→\tif err := row.Scan(\n   158→\t\t&job.ID, &job.JobID, &job.User, &job.Project, &job.Cluster, &job.SubCluster,\n   159→\t\t&job.StartTime, &job.Partition, &job.ArrayJobID, &job.NumNodes, &job.NumHWThreads,\n   160→\t\t&job.NumAcc, &job.Shared, &job.MonitoringStatus, &job.SMT, &job.State,\n   161→\t\t&job.Duration, &job.Walltime, &job.RawResources, &job.RawFootprint, &job.Energy); err != nil {\n   162→\t\tcclog.Warnf(\"Error while scanning rows (Job): %v\", err)\n   163→\t\treturn nil, err\n   164→\t}\n   165→\n   166→\tif err := json.Unmarshal(job.RawResources, &job.Resources); err != nil {\n   167→\t\tcclog.Warn(\"Error while unmarshaling raw resources json\")\n   168→\t\treturn nil, err\n   169→\t}\n   170→\tjob.RawResources = nil\n   171→\n   172→\tif err := json.Unmarshal(job.RawFootprint, &job.Footprint); err != nil {\n   173→\t\tcclog.Warnf(\"Error while unmarshaling raw footprint json: %v\", err)\n   174→\t\treturn nil, err\n   175→\t}\n   176→\tjob.RawFootprint = nil\n   177→\n   178→\t// Always ensure accurate duration for running jobs\n   179→\tif job.State == schema.JobStateRunning {\n   180→\t\tjob.Duration = int32(time.Now().Unix() - job.StartTime)\n   181→\t}\n   182→\n   183→\treturn job, nil\n   184→}\n   185→\n   186→// Optimize performs database optimization by running VACUUM command.\n   187→// This reclaims unused space and defragments the database file.\n   188→// Should be run periodically during maintenance windows.\n   189→func (r *JobRepository) Optimize() error {\n   190→\tif _, err := r.DB.Exec(`VACUUM`); err != nil {\n   191→\t\tcclog.Errorf(\"Error while executing VACUUM: %v\", err)\n   192→\t\treturn fmt.Errorf(\"failed to optimize database: %w\", err)\n   193→\t}\n   194→\treturn nil\n   195→}\n   196→\n   197→// Flush removes all data from job-related tables (jobtag, tag, job).\n   198→// WARNING: This is a destructive operation that deletes all job data.\n   199→// Use with extreme caution, typically only for testing or complete resets.\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"1d2d9d27-9829-4e70-b0f1-8d82aeea41e4","timestamp":"2026-03-16T19:01:35.775Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/job.go","content":"// Parameters:\n//   - row: Database row implementing Scan() interface (sql.Row or sql.Rows)\n//\n// Returns the populated Job struct or an error if scanning or unmarshaling fails.\nfunc scanJob(row interface{ Scan(...any) error }) (*schema.Job, error) {\n\tjob := &schema.Job{}\n\n\tif err := row.Scan(\n\t\t&job.ID, &job.JobID, &job.User, &job.Project, &job.Cluster, &job.SubCluster,\n\t\t&job.StartTime, &job.Partition, &job.ArrayJobID, &job.NumNodes, &job.NumHWThreads,\n\t\t&job.NumAcc, &job.Shared, &job.MonitoringStatus, &job.SMT, &job.State,\n\t\t&job.Duration, &job.Walltime, &job.RawResources, &job.RawFootprint, &job.Energy); err != nil {\n\t\tcclog.Warnf(\"Error while scanning rows (Job): %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif err := json.Unmarshal(job.RawResources, &job.Resources); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw resources json\")\n\t\treturn nil, err\n\t}\n\tjob.RawResources = nil\n\n\tif err := json.Unmarshal(job.RawFootprint, &job.Footprint); err != nil {\n\t\tcclog.Warnf(\"Error while unmarshaling raw footprint json: %v\", err)\n\t\treturn nil, err\n\t}\n\tjob.RawFootprint = nil\n\n\t// Always ensure accurate duration for running jobs\n\tif job.State == schema.JobStateRunning {\n\t\tjob.Duration = int32(time.Now().Unix() - job.StartTime)\n\t}\n\n\treturn job, nil\n}\n\n// Optimize performs database optimization by running VACUUM command.\n// This reclaims unused space and defragments the database file.\n// Should be run periodically during maintenance windows.\nfunc (r *JobRepository) Optimize() error {\n\tif _, err := r.DB.Exec(`VACUUM`); err != nil {\n\t\tcclog.Errorf(\"Error while executing VACUUM: %v\", err)\n\t\treturn fmt.Errorf(\"failed to optimize database: %w\", err)\n\t}\n\treturn nil\n}\n\n// Flush removes all data from job-related tables (jobtag, tag, job).\n// WARNING: This is a destructive operation that deletes all job data.\n// Use with extreme caution, typically only for testing or complete resets.","numLines":50,"startLine":150,"totalLines":1137}},"sourceToolAssistantUUID":"d794b7a8-bd3b-4636-a95b-9a41347d8c29","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
+{"parentUuid":"1d2d9d27-9829-4e70-b0f1-8d82aeea41e4","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_01J7aEPCqRXeFMhyQDhRzoqR","type":"message","role":"assistant","content":[{"type":"text","text":"Now I have all the context. The imports already include `database/sql`. I need to add `path/filepath` and `runtime`, then modify `scanJob`."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":991,"cache_read_input_tokens":20017,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":991},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ7Gy2xhWhGV9cTiNUTuh","type":"assistant","uuid":"5cce56cc-4a5b-4601-ab11-8481d1bcbd68","timestamp":"2026-03-16T19:01:39.953Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
+{"parentUuid":"5cce56cc-4a5b-4601-ab11-8481d1bcbd68","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_01J7aEPCqRXeFMhyQDhRzoqR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SEStTNPB564kxtccKVJNxc","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/job.go","old_string":"import (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"maps\"\n\t\"math\"\n\t\"sort\"\n\t\"strconv\"\n\t\"sync\"\n\t\"time\"","new_string":"import (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"maps\"\n\t\"math\"\n\t\"path/filepath\"\n\t\"runtime\"\n\t\"sort\"\n\t\"strconv\"\n\t\"sync\"\n\t\"time\""},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":991,"cache_read_input_tokens":20017,"output_tokens":271,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":991,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ7Gy2xhWhGV9cTiNUTuh","type":"assistant","uuid":"15819832-8055-4e39-bc9d-4a47ece02bd4","timestamp":"2026-03-16T19:01:41.355Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
+{"type":"file-history-snapshot","messageId":"15819832-8055-4e39-bc9d-4a47ece02bd4","snapshot":{"messageId":"0ee65114-d1fe-4419-b9ac-248b3919e8cd","trackedFileBackups":{"internal/repository/job.go":{"backupFileName":"0742bb1d44c2b46d@v1","version":1,"backupTime":"2026-03-16T19:01:41.366Z"}},"timestamp":"2026-03-16T19:01:26.368Z"},"isSnapshotUpdate":true}
+{"parentUuid":"15819832-8055-4e39-bc9d-4a47ece02bd4","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01SEStTNPB564kxtccKVJNxc","toolUseID":"toolu_01SEStTNPB564kxtccKVJNxc","timestamp":"2026-03-16T19:01:41.373Z","uuid":"0b91cd7b-649d-4b36-a2c8-0fbf3ea57cc6","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
+{"parentUuid":"15819832-8055-4e39-bc9d-4a47ece02bd4","isSidechain":false,"promptId":"652c48e5-2f9a-4604-a66a-0690cd2d0027","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SEStTNPB564kxtccKVJNxc","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/job.go has been updated successfully."}]},"uuid":"a10d4b20-6803-46e1-857f-83f5e94b1ec9","timestamp":"2026-03-16T19:01:41.373Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/job.go","oldString":"import (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"maps\"\n\t\"math\"\n\t\"sort\"\n\t\"strconv\"\n\t\"sync\"\n\t\"time\"","newString":"import (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"maps\"\n\t\"math\"\n\t\"path/filepath\"\n\t\"runtime\"\n\t\"sort\"\n\t\"strconv\"\n\t\"sync\"\n\t\"time\"","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package repository provides the data access layer for cc-backend using the repository pattern.\n//\n// The repository pattern abstracts database operations and provides a clean interface for\n// data access. Each major entity (Job, User, Node, Tag) has its own repository with CRUD\n// operations and specialized queries.\n//\n// # Database Connection\n//\n// Initialize the database connection before using any repository:\n//\n//\trepository.Connect(\"sqlite3\", \"./var/job.db\")\n//\n// # Configuration\n//\n// Optional: Configure repository settings before initialization:\n//\n//\trepository.SetConfig(&repository.RepositoryConfig{\n//\t    CacheSize: 2 * 1024 * 1024,     // 2MB cache\n//\t    MaxOpenConnections: 8,           // Connection pool size\n//\t    MinRunningJobDuration: 300,      // Filter threshold\n//\t})\n//\n// If not configured, sensible defaults are used automatically.\n//\n// # Repositories\n//\n//   - JobRepository: Job lifecycle management and querying\n//   - UserRepository: User management and authentication\n//   - NodeRepository: Cluster node state tracking\n//   - Tags: Job tagging and categorization\n//\n// # Caching\n//\n// Repositories use LRU caching to improve performance. Cache keys are constructed\n// as \"type:id\" (e.g., \"metadata:123\"). Cache is automatically invalidated on\n// mutations to maintain consistency.\n//\n// # Transaction Support\n//\n// For batch operations, use transactions:\n//\n//\tt, err := jobRepo.TransactionInit()\n//\tif err != nil {\n//\t    return err\n//\t}\n//\tdefer t.Rollback() // Rollback if not committed\n//\n//\t// Perform operations...\n//\tjobRepo.TransactionAdd(t, query, args...)\n//\n//\t// Commit when done\n//\tif err := t.Commit(); err != nil {\n//\t    return err\n//\t}\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"maps\"\n\t\"math\"\n\t\"sort\"\n\t\"strconv\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\t// jobRepoOnce ensures singleton initialization of the JobRepository\n\tjobRepoOnce sync.Once\n\t// jobRepoInstance holds the single instance of JobRepository\n\tjobRepoInstance *JobRepository\n)\n\n// JobRepository provides database access for job-related operations.\n// It implements the repository pattern to abstract database interactions\n// and provides caching for improved performance.\n//\n// The repository is a singleton initialized via GetJobRepository().\n// All database queries use prepared statements via stmtCache for efficiency.\n// Frequently accessed data (metadata, energy footprints) is cached in an LRU cache.\ntype JobRepository struct {\n\tDB        *sqlx.DB        // Database connection pool\n\tstmtCache *sq.StmtCache   // Prepared statement cache for query optimization\n\tcache     *lrucache.Cache // LRU cache for metadata and footprint data\n\tdriver    string          // Database driver name (e.g., \"sqlite3\")\n\tMutex     sync.Mutex      // Mutex for thread-safe operations\n}\n\n// GetJobRepository returns the singleton instance of JobRepository.\n// The repository is initialized lazily on first access with database connection,\n// prepared statement cache, and LRU cache configured from repoConfig.\n//\n// This function is thread-safe and ensures only one instance is created.\n// It must be called after Connect() has established a database connection.\nfunc GetJobRepository() *JobRepository {\n\tjobRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tjobRepoInstance = &JobRepository{\n\t\t\tDB:     db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache:     lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn jobRepoInstance\n}\n\n// jobColumns defines the standard set of columns selected from the job table.\n// Used consistently across all job queries to ensure uniform data retrieval.\nvar jobColumns []string = []string{\n\t\"job.id\", \"job.job_id\", \"job.hpc_user\", \"job.project\", \"job.cluster\", \"job.subcluster\",\n\t\"job.start_time\", \"job.cluster_partition\", \"job.array_job_id\", \"job.num_nodes\",\n\t\"job.num_hwthreads\", \"job.num_acc\", \"job.shared\", \"job.monitoring_status\",\n\t\"job.smt\", \"job.job_state\", \"job.duration\", \"job.walltime\", \"job.resources\",\n\t\"job.footprint\", \"job.energy\",\n}\n\n// jobCacheColumns defines columns from the job_cache table, mirroring jobColumns.\n// Used for queries against cached job data for performance optimization.\nvar jobCacheColumns []string = []string{\n\t\"job_cache.id\", \"job_cache.job_id\", \"job_cache.hpc_user\", \"job_cache.project\", \"job_cache.cluster\",\n\t\"job_cache.subcluster\", \"job_cache.start_time\", \"job_cache.cluster_partition\",\n\t\"job_cache.array_job_id\", \"job_cache.num_nodes\", \"job_cache.num_hwthreads\",\n\t\"job_cache.num_acc\", \"job_cache.shared\", \"job_cache.monitoring_status\", \"job_cache.smt\",\n\t\"job_cache.job_state\", \"job_cache.duration\", \"job_cache.walltime\", \"job_cache.resources\",\n\t\"job_cache.footprint\", \"job_cache.energy\",\n}\n\n// scanJob converts a database row into a schema.Job struct.\n// It handles JSON unmarshaling of resources and footprint fields,\n// and calculates accurate duration for running jobs.\n//\n// Parameters:\n//   - row: Database row implementing Scan() interface (sql.Row or sql.Rows)\n//\n// Returns the populated Job struct or an error if scanning or unmarshaling fails.\nfunc scanJob(row interface{ Scan(...any) error }) (*schema.Job, error) {\n\tjob := &schema.Job{}\n\n\tif err := row.Scan(\n\t\t&job.ID, &job.JobID, &job.User, &job.Project, &job.Cluster, &job.SubCluster,\n\t\t&job.StartTime, &job.Partition, &job.ArrayJobID, &job.NumNodes, &job.NumHWThreads,\n\t\t&job.NumAcc, &job.Shared, &job.MonitoringStatus, &job.SMT, &job.State,\n\t\t&job.Duration, &job.Walltime, &job.RawResources, &job.RawFootprint, &job.Energy); err != nil {\n\t\tcclog.Warnf(\"Error while scanning rows (Job): %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif err := json.Unmarshal(job.RawResources, &job.Resources); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw resources json\")\n\t\treturn nil, err\n\t}\n\tjob.RawResources = nil\n\n\tif err := json.Unmarshal(job.RawFootprint, &job.Footprint); err != nil {\n\t\tcclog.Warnf(\"Error while unmarshaling raw footprint json: %v\", err)\n\t\treturn nil, err\n\t}\n\tjob.RawFootprint = nil\n\n\t// Always ensure accurate duration for running jobs\n\tif job.State == schema.JobStateRunning {\n\t\tjob.Duration = int32(time.Now().Unix() - job.StartTime)\n\t}\n\n\treturn job, nil\n}\n\n// Optimize performs database optimization by running VACUUM command.\n// This reclaims unused space and defragments the database file.\n// Should be run periodically during maintenance windows.\nfunc (r *JobRepository) Optimize() error {\n\tif _, err := r.DB.Exec(`VACUUM`); err != nil {\n\t\tcclog.Errorf(\"Error while executing VACUUM: %v\", err)\n\t\treturn fmt.Errorf(\"failed to optimize database: %w\", err)\n\t}\n\treturn nil\n}\n\n// Flush removes all data from job-related tables (jobtag, tag, job).\n// WARNING: This is a destructive operation that deletes all job data.\n// Use with extreme caution, typically only for testing or complete resets.\nfunc (r *JobRepository) Flush() error {\n\tif _, err := r.DB.Exec(`DELETE FROM jobtag`); err != nil {\n\t\tcclog.Errorf(\"Error while deleting from jobtag table: %v\", err)\n\t\treturn fmt.Errorf(\"failed to flush jobtag table: %w\", err)\n\t}\n\tif _, err := r.DB.Exec(`DELETE FROM tag`); err != nil {\n\t\tcclog.Errorf(\"Error while deleting from tag table: %v\", err)\n\t\treturn fmt.Errorf(\"failed to flush tag table: %w\", err)\n\t}\n\tif _, err := r.DB.Exec(`DELETE FROM job`); err != nil {\n\t\tcclog.Errorf(\"Error while deleting from job table: %v\", err)\n\t\treturn fmt.Errorf(\"failed to flush job table: %w\", err)\n\t}\n\treturn nil\n}\n\n// FetchMetadata retrieves and unmarshals the metadata JSON for a job.\n// Metadata is cached with a 24-hour TTL to improve performance.\n//\n// The metadata field stores arbitrary key-value pairs associated with a job,\n// such as tags, labels, or custom attributes added by external systems.\n//\n// Parameters:\n//   - job: Job struct with valid ID field, metadata will be populated in job.MetaData\n//\n// Returns the metadata map or an error if the job is nil or database query fails.\nfunc (r *JobRepository) FetchMetadata(job *schema.Job) (map[string]string, error) {\n\tif job == nil {\n\t\treturn nil, fmt.Errorf(\"job cannot be nil\")\n\t}\n\n\tstart := time.Now()\n\tcachekey := fmt.Sprintf(\"metadata:%d\", *job.ID)\n\tif cached := r.cache.Get(cachekey, nil); cached != nil {\n\t\tjob.MetaData = cached.(map[string]string)\n\t\treturn job.MetaData, nil\n\t}\n\n\tif err := sq.Select(\"job.meta_data\").From(\"job\").Where(\"job.id = ?\", job.ID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&job.RawMetaData); err != nil {\n\t\tcclog.Warnf(\"Error while scanning for job metadata (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to fetch metadata for job %d: %w\", *job.ID, err)\n\t}\n\n\tif len(job.RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tif err := json.Unmarshal(job.RawMetaData, &job.MetaData); err != nil {\n\t\tcclog.Warnf(\"Error while unmarshaling raw metadata json (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to unmarshal metadata for job %d: %w\", *job.ID, err)\n\t}\n\n\tr.cache.Put(cachekey, job.MetaData, len(job.RawMetaData), 24*time.Hour)\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn job.MetaData, nil\n}\n\n// UpdateMetadata adds or updates a single metadata key-value pair for a job.\n// The entire metadata map is re-marshaled and stored, and the cache is invalidated.\n// Also triggers archive metadata update via archive.UpdateMetadata.\n//\n// Parameters:\n//   - job: Job struct with valid ID, existing metadata will be fetched if not present\n//   - key: Metadata key to set\n//   - val: Metadata value to set\n//\n// Returns an error if the job is nil, metadata fetch fails, or database update fails.\nfunc (r *JobRepository) UpdateMetadata(job *schema.Job, key, val string) (err error) {\n\tif job == nil {\n\t\treturn fmt.Errorf(\"job cannot be nil\")\n\t}\n\n\tcachekey := fmt.Sprintf(\"metadata:%d\", *job.ID)\n\tr.cache.Del(cachekey)\n\tif job.MetaData == nil {\n\t\tif _, err = r.FetchMetadata(job); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for job, DB ID '%v'\", *job.ID)\n\t\t\treturn fmt.Errorf(\"failed to fetch metadata for job %d: %w\", *job.ID, err)\n\t\t}\n\t}\n\n\tif job.MetaData != nil {\n\t\tcpy := make(map[string]string, len(job.MetaData)+1)\n\t\tmaps.Copy(cpy, job.MetaData)\n\t\tcpy[key] = val\n\t\tjob.MetaData = cpy\n\t} else {\n\t\tjob.MetaData = map[string]string{key: val}\n\t}\n\n\tif job.RawMetaData, err = json.Marshal(job.MetaData); err != nil {\n\t\tcclog.Warnf(\"Error while marshaling metadata for job, DB ID '%v'\", *job.ID)\n\t\treturn fmt.Errorf(\"failed to marshal metadata for job %d: %w\", *job.ID, err)\n\t}\n\n\tif _, err = sq.Update(\"job\").\n\t\tSet(\"meta_data\", job.RawMetaData).\n\t\tWhere(\"job.id = ?\", job.ID).\n\t\tRunWith(r.stmtCache).Exec(); err != nil {\n\t\tcclog.Warnf(\"Error while updating metadata for job, DB ID '%v'\", *job.ID)\n\t\treturn fmt.Errorf(\"failed to update metadata in database for job %d: %w\", *job.ID, err)\n\t}\n\n\tr.cache.Put(cachekey, job.MetaData, len(job.RawMetaData), 24*time.Hour)\n\treturn archive.UpdateMetadata(job, job.MetaData)\n}\n\n// FetchFootprint retrieves and unmarshals the performance footprint JSON for a job.\n// Unlike FetchMetadata, footprints are NOT cached as they can be large and change frequently.\n//\n// The footprint contains summary statistics (avg/min/max) for monitored metrics,\n// stored as JSON with keys like \"cpu_load_avg\", \"mem_used_max\", etc.\n//\n// Parameters:\n//   - job: Job struct with valid ID, footprint will be populated in job.Footprint\n//\n// Returns the footprint map or an error if the job is nil or database query fails.\nfunc (r *JobRepository) FetchFootprint(job *schema.Job) (map[string]float64, error) {\n\tif job == nil {\n\t\treturn nil, fmt.Errorf(\"job cannot be nil\")\n\t}\n\n\tstart := time.Now()\n\n\tif err := sq.Select(\"job.footprint\").From(\"job\").Where(\"job.id = ?\", job.ID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&job.RawFootprint); err != nil {\n\t\tcclog.Warnf(\"Error while scanning for job footprint (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to fetch footprint for job %d: %w\", *job.ID, err)\n\t}\n\n\tif len(job.RawFootprint) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tif err := json.Unmarshal(job.RawFootprint, &job.Footprint); err != nil {\n\t\tcclog.Warnf(\"Error while unmarshaling raw footprint json (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to unmarshal footprint for job %d: %w\", *job.ID, err)\n\t}\n\n\tcclog.Debugf(\"Timer FetchFootprint %s\", time.Since(start))\n\treturn job.Footprint, nil\n}\n\n// FetchEnergyFootprint retrieves and unmarshals the energy footprint JSON for a job.\n// Energy footprints are cached with a 24-hour TTL as they are frequently accessed but rarely change.\n//\n// The energy footprint contains calculated energy consumption (in kWh) per metric,\n// stored as JSON with keys like \"power_avg\", \"acc_power_avg\", etc.\n//\n// Parameters:\n//   - job: Job struct with valid ID, energy footprint will be populated in job.EnergyFootprint\n//\n// Returns the energy footprint map or an error if the job is nil or database query fails.\nfunc (r *JobRepository) FetchEnergyFootprint(job *schema.Job) (map[string]float64, error) {\n\tif job == nil {\n\t\treturn nil, fmt.Errorf(\"job cannot be nil\")\n\t}\n\n\tstart := time.Now()\n\tcachekey := fmt.Sprintf(\"energyFootprint:%d\", *job.ID)\n\tif cached := r.cache.Get(cachekey, nil); cached != nil {\n\t\tjob.EnergyFootprint = cached.(map[string]float64)\n\t\treturn job.EnergyFootprint, nil\n\t}\n\n\tif err := sq.Select(\"job.energy_footprint\").From(\"job\").Where(\"job.id = ?\", job.ID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&job.RawEnergyFootprint); err != nil {\n\t\tcclog.Warnf(\"Error while scanning for job energy_footprint (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to fetch energy footprint for job %d: %w\", *job.ID, err)\n\t}\n\n\tif len(job.RawEnergyFootprint) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tif err := json.Unmarshal(job.RawEnergyFootprint, &job.EnergyFootprint); err != nil {\n\t\tcclog.Warnf(\"Error while unmarshaling raw energy footprint json (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to unmarshal energy footprint for job %d: %w\", *job.ID, err)\n\t}\n\n\tr.cache.Put(cachekey, job.EnergyFootprint, len(job.EnergyFootprint), 24*time.Hour)\n\tcclog.Debugf(\"Timer FetchEnergyFootprint %s\", time.Since(start))\n\treturn job.EnergyFootprint, nil\n}\n\n// DeleteJobsBefore removes jobs older than the specified start time.\n// Optionally preserves tagged jobs to protect important data from deletion.\n// Cache entries for deleted jobs are automatically invalidated.\n//\n// This is typically used for data retention policies and cleanup operations.\n// WARNING: This is a destructive operation that permanently deletes job records.\n//\n// Parameters:\n//   - startTime: Unix timestamp, jobs with start_time < this value will be deleted\n//   - omitTagged: \"none\" = delete all jobs, \"all\" = skip any tagged jobs,\n//     \"user\" = skip jobs with user-created tags (not auto-tagger types \"app\"/\"jobClass\")\n//\n// Returns the count of deleted jobs or an error if the operation fails.\nfunc (r *JobRepository) DeleteJobsBefore(startTime int64, omitTagged string) (int, error) {\n\tvar cnt int\n\tq := sq.Select(\"count(*)\").From(\"job\").Where(\"job.start_time < ?\", startTime)\n\n\tswitch omitTagged {\n\tcase \"all\":\n\t\tq = q.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n\tcase \"user\":\n\t\tq = q.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n\t}\n\n\tif err := q.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\n\t\tcclog.Errorf(\"Error counting jobs before %d: %v\", startTime, err)\n\t\treturn 0, err\n\t}\n\n\t// Invalidate cache for jobs being deleted (get job IDs first)\n\tif cnt > 0 {\n\t\tvar jobIds []int64\n\t\tselectQuery := sq.Select(\"id\").From(\"job\").Where(\"job.start_time < ?\", startTime)\n\n\t\tswitch omitTagged {\n\t\tcase \"all\":\n\t\t\tselectQuery = selectQuery.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n\t\tcase \"user\":\n\t\t\tselectQuery = selectQuery.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n\t\t}\n\n\t\trows, err := selectQuery.RunWith(r.DB).Query()\n\t\tif err == nil {\n\t\t\tdefer rows.Close()\n\t\t\tfor rows.Next() {\n\t\t\t\tvar id int64\n\t\t\t\tif err := rows.Scan(&id); err == nil {\n\t\t\t\t\tjobIds = append(jobIds, id)\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Invalidate cache entries\n\t\t\tfor _, id := range jobIds {\n\t\t\t\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", id))\n\t\t\t\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", id))\n\t\t\t}\n\t\t}\n\t}\n\n\tqd := sq.Delete(\"job\").Where(\"job.start_time < ?\", startTime)\n\n\tswitch omitTagged {\n\tcase \"all\":\n\t\tqd = qd.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n\tcase \"user\":\n\t\tqd = qd.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n\t}\n\t_, err := qd.RunWith(r.DB).Exec()\n\n\tif err != nil {\n\t\ts, _, _ := qd.ToSql()\n\t\tcclog.Errorf(\" DeleteJobsBefore(%d) with %s: error %#v\", startTime, s, err)\n\t} else {\n\t\tcclog.Debugf(\"DeleteJobsBefore(%d): Deleted %d jobs\", startTime, cnt)\n\t}\n\treturn cnt, err\n}\n\n// DeleteJobByID permanently removes a single job by its database ID.\n// Cache entries for the deleted job are automatically invalidated.\n//\n// Parameters:\n//   - id: Database ID (primary key) of the job to delete\n//\n// Returns an error if the deletion fails.\nfunc (r *JobRepository) DeleteJobByID(id int64) error {\n\t// Invalidate cache entries before deletion\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", id))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", id))\n\n\tqd := sq.Delete(\"job\").Where(\"job.id = ?\", id)\n\t_, err := qd.RunWith(r.DB).Exec()\n\n\tif err != nil {\n\t\ts, _, _ := qd.ToSql()\n\t\tcclog.Errorf(\"DeleteJobById(%d) with %s : error %#v\", id, s, err)\n\t} else {\n\t\tcclog.Debugf(\"DeleteJobById(%d): Success\", id)\n\t}\n\treturn err\n}\n\n// FindUserOrProjectOrJobname attempts to interpret a search term as a job ID,\n// username, project ID, or job name by querying the database.\n//\n// Search logic (in priority order):\n//  1. If searchterm is numeric, treat as job ID (returned immediately)\n//  2. Try exact match in job.hpc_user column (username)\n//  3. Try LIKE match in hpc_user.name column (real name)\n//  4. Try exact match in job.project column (project ID)\n//  5. If no matches, return searchterm as jobname for GraphQL query\n//\n// This powers the searchbar functionality for flexible job searching.\n// Requires authenticated user for database lookups (returns empty if user is nil).\n//\n// Parameters:\n//   - user: Authenticated user context, required for database access\n//   - searchterm: Search string to interpret\n//\n// Returns up to one non-empty value among (jobid, username, project, jobname).\nfunc (r *JobRepository) FindUserOrProjectOrJobname(user *schema.User, searchterm string) (jobid string, username string, project string, jobname string) {\n\tif searchterm == \"\" {\n\t\treturn \"\", \"\", \"\", \"\"\n\t}\n\n\tif _, err := strconv.Atoi(searchterm); err == nil { // Return empty on successful conversion: parent method will redirect for integer jobId\n\t\treturn searchterm, \"\", \"\", \"\"\n\t} else { // Has to have letters and logged-in user for other guesses\n\t\tif user != nil {\n\t\t\t// Find username by username in job table (match)\n\t\t\turesult, _ := r.FindColumnValue(user, searchterm, \"job\", \"hpc_user\", \"hpc_user\", false)\n\t\t\tif uresult != \"\" {\n\t\t\t\treturn \"\", uresult, \"\", \"\"\n\t\t\t}\n\t\t\t// Find username by real name in hpc_user table (like)\n\t\t\tnresult, _ := r.FindColumnValue(user, searchterm, \"hpc_user\", \"username\", \"name\", true)\n\t\t\tif nresult != \"\" {\n\t\t\t\treturn \"\", nresult, \"\", \"\"\n\t\t\t}\n\t\t\t// Find projectId by projectId in job table (match)\n\t\t\tpresult, _ := r.FindColumnValue(user, searchterm, \"job\", \"project\", \"project\", false)\n\t\t\tif presult != \"\" {\n\t\t\t\treturn \"\", \"\", presult, \"\"\n\t\t\t}\n\t\t}\n\t\t// Return searchterm if no match before: Forward as jobname query to GQL in handleSearchbar function\n\t\treturn \"\", \"\", \"\", searchterm\n\t}\n}\n\nvar (\n\tErrNotFound  = errors.New(\"no such jobname, project or user\")\n\tErrForbidden = errors.New(\"not authorized\")\n)\n\n// FindColumnValue performs a generic column lookup in a database table with role-based access control.\n// Only users with admin, support, or manager roles can execute this query.\n//\n// Parameters:\n//   - user: User context for authorization check\n//   - searchterm: Value to search for (exact match or LIKE pattern)\n//   - table: Database table name to query\n//   - selectColumn: Column name to return in results\n//   - whereColumn: Column name to filter on\n//   - isLike: If true, use LIKE with wildcards; if false, use exact equality\n//\n// Returns the first matching value, ErrForbidden if user lacks permission,\n// or ErrNotFound if no matches are found.\nfunc (r *JobRepository) FindColumnValue(user *schema.User, searchterm string, table string, selectColumn string, whereColumn string, isLike bool) (result string, err error) {\n\tif user == nil {\n\t\treturn \"\", fmt.Errorf(\"user cannot be nil\")\n\t}\n\n\tcompareStr := \" = ?\"\n\tquery := searchterm\n\tif isLike {\n\t\tcompareStr = \" LIKE ?\"\n\t\tquery = \"%\" + searchterm + \"%\"\n\t}\n\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\ttheQuery := sq.Select(table+\".\"+selectColumn).Distinct().From(table).\n\t\t\tWhere(table+\".\"+whereColumn+compareStr, query)\n\n\t\terr := theQuery.RunWith(r.stmtCache).QueryRow().Scan(&result)\n\n\t\tif err != nil && err != sql.ErrNoRows {\n\t\t\tcclog.Warnf(\"Error while querying FindColumnValue (table=%s, column=%s): %v\", table, selectColumn, err)\n\t\t\treturn \"\", fmt.Errorf(\"failed to find column value: %w\", err)\n\t\t} else if err == nil {\n\t\t\treturn result, nil\n\t\t}\n\t\treturn \"\", ErrNotFound\n\t} else {\n\t\tcclog.Infof(\"Non-Admin User %s : Requested Query '%s' on table '%s' : Forbidden\", user.Name, query, table)\n\t\treturn \"\", ErrForbidden\n\t}\n}\n\n// FindColumnValues performs a generic column lookup returning multiple matches with role-based access control.\n// Similar to FindColumnValue but returns all matching values instead of just the first.\n// Only users with admin, support, or manager roles can execute this query.\n//\n// Parameters:\n//   - user: User context for authorization check\n//   - query: Search pattern (always uses LIKE with wildcards)\n//   - table: Database table name to query\n//   - selectColumn: Column name to return in results\n//   - whereColumn: Column name to filter on\n//\n// Returns a slice of matching values, ErrForbidden if user lacks permission,\n// or ErrNotFound if no matches are found.\nfunc (r *JobRepository) FindColumnValues(user *schema.User, query string, table string, selectColumn string, whereColumn string) (results []string, err error) {\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"user cannot be nil\")\n\t}\n\n\temptyResult := make([]string, 0)\n\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\trows, err := sq.Select(table+\".\"+selectColumn).Distinct().From(table).\n\t\t\tWhere(table+\".\"+whereColumn+\" LIKE ?\", fmt.Sprint(\"%\", query, \"%\")).\n\t\t\tRunWith(r.stmtCache).Query()\n\t\tif err != nil && err != sql.ErrNoRows {\n\t\t\tcclog.Errorf(\"Error while querying FindColumnValues (table=%s, column=%s): %v\", table, selectColumn, err)\n\t\t\treturn emptyResult, fmt.Errorf(\"failed to find column values: %w\", err)\n\t\t} else if err == nil {\n\t\t\tdefer rows.Close()\n\t\t\tfor rows.Next() {\n\t\t\t\tvar result string\n\t\t\t\terr := rows.Scan(&result)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Warnf(\"Error while scanning rows in FindColumnValues: %v\", err)\n\t\t\t\t\treturn emptyResult, fmt.Errorf(\"failed to scan column value: %w\", err)\n\t\t\t\t}\n\t\t\t\tresults = append(results, result)\n\t\t\t}\n\t\t\treturn results, nil\n\t\t}\n\t\treturn emptyResult, ErrNotFound\n\n\t} else {\n\t\tcclog.Infof(\"Non-Admin User %s : Requested Query '%s' on table '%s' : Forbidden\", user.Name, query, table)\n\t\treturn emptyResult, ErrForbidden\n\t}\n}\n\n// Partitions returns a list of distinct cluster partitions for a given cluster.\n// Results are cached with a 1-hour TTL to improve performance.\n//\n// Parameters:\n//   - cluster: Cluster name to query partitions for\n//\n// Returns a slice of partition names or an error if the database query fails.\nfunc (r *JobRepository) Partitions(cluster string) ([]string, error) {\n\tvar err error\n\tstart := time.Now()\n\tpartitions := r.cache.Get(\"partitions:\"+cluster, func() (any, time.Duration, int) {\n\t\tparts := []string{}\n\t\tif err = r.DB.Select(&parts, `SELECT DISTINCT job.cluster_partition FROM job WHERE job.cluster = ?;`, cluster); err != nil {\n\t\t\treturn nil, 0, 1000\n\t\t}\n\n\t\treturn parts, 1 * time.Hour, 1\n\t})\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tcclog.Debugf(\"Timer Partitions %s\", time.Since(start))\n\treturn partitions.([]string), nil\n}\n\n// AllocatedNodes returns a map of all subclusters to a map of hostnames to the amount of jobs running on that host.\n// Hosts with zero jobs running on them will not show up!\nfunc (r *JobRepository) AllocatedNodes(cluster string) (map[string]map[string]int, error) {\n\tstart := time.Now()\n\tsubclusters := make(map[string]map[string]int)\n\trows, err := sq.Select(\"resources\", \"subcluster\").From(\"job\").\n\t\tWhere(\"job.job_state = 'running'\").\n\t\tWhere(\"job.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running AllocatedNodes query for cluster=%s: %v\", cluster, err)\n\t\treturn nil, fmt.Errorf(\"failed to query allocated nodes for cluster %s: %w\", cluster, err)\n\t}\n\n\tvar raw []byte\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\traw = raw[0:0]\n\t\tvar resources []*schema.Resource\n\t\tvar subcluster string\n\t\tif err := rows.Scan(&raw, &subcluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in AllocatedNodes: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan allocated nodes row: %w\", err)\n\t\t}\n\t\tif err := json.Unmarshal(raw, &resources); err != nil {\n\t\t\tcclog.Warnf(\"Error while unmarshaling raw resources json in AllocatedNodes: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to unmarshal resources in AllocatedNodes: %w\", err)\n\t\t}\n\n\t\thosts, ok := subclusters[subcluster]\n\t\tif !ok {\n\t\t\thosts = make(map[string]int)\n\t\t\tsubclusters[subcluster] = hosts\n\t\t}\n\n\t\tfor _, resource := range resources {\n\t\t\thosts[resource.Hostname] += 1\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AllocatedNodes %s\", time.Since(start))\n\treturn subclusters, nil\n}\n\n// StopJobsExceedingWalltimeBy marks running jobs as failed if they exceed their walltime limit.\n// This is typically called periodically to clean up stuck or orphaned jobs.\n//\n// Jobs are marked with:\n//   - monitoring_status: MonitoringStatusArchivingFailed\n//   - duration: 0\n//   - job_state: JobStateFailed\n//\n// Parameters:\n//   - seconds: Grace period beyond walltime before marking as failed\n//\n// Returns an error if the database update fails.\n// Logs the number of jobs marked as failed if any were affected.\nfunc (r *JobRepository) StopJobsExceedingWalltimeBy(seconds int) error {\n\tstart := time.Now()\n\tcurrentTime := time.Now().Unix()\n\tres, err := sq.Update(\"job\").\n\t\tSet(\"monitoring_status\", schema.MonitoringStatusArchivingFailed).\n\t\tSet(\"duration\", 0).\n\t\tSet(\"job_state\", schema.JobStateFailed).\n\t\tWhere(\"job.job_state = 'running'\").\n\t\tWhere(\"job.walltime > 0\").\n\t\tWhere(\"job.start_time < (? - job.walltime)\", currentTime-int64(seconds)).\n\t\tRunWith(r.DB).Exec()\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while stopping jobs exceeding walltime: %v\", err)\n\t\treturn fmt.Errorf(\"failed to stop jobs exceeding walltime: %w\", err)\n\t}\n\n\trowsAffected, err := res.RowsAffected()\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while fetching affected rows after stopping due to exceeded walltime: %v\", err)\n\t\treturn fmt.Errorf(\"failed to get rows affected count: %w\", err)\n\t}\n\n\tif rowsAffected > 0 {\n\t\tcclog.Infof(\"%d jobs have been marked as failed due to running too long\", rowsAffected)\n\t}\n\tcclog.Debugf(\"Timer StopJobsExceedingWalltimeBy %s\", time.Since(start))\n\treturn nil\n}\n\n// FindJobIdsByTag returns all job database IDs associated with a specific tag.\n//\n// Parameters:\n//   - tagID: Database ID of the tag to search for\n//\n// Returns a slice of job IDs or an error if the query fails.\nfunc (r *JobRepository) FindJobIdsByTag(tagID int64) ([]int64, error) {\n\tquery := sq.Select(\"job.id\").From(\"job\").\n\t\tJoin(\"jobtag ON jobtag.job_id = job.id\").\n\t\tWhere(sq.Eq{\"jobtag.tag_id\": tagID}).Distinct()\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running FindJobIdsByTag query for tagID=%d: %v\", tagID, err)\n\t\treturn nil, fmt.Errorf(\"failed to find job IDs by tag %d: %w\", tagID, err)\n\t}\n\tdefer rows.Close()\n\n\tjobIds := make([]int64, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar jobID int64\n\n\t\tif err := rows.Scan(&jobID); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobIdsByTag: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job ID in FindJobIdsByTag: %w\", err)\n\t\t}\n\n\t\tjobIds = append(jobIds, jobID)\n\t}\n\n\treturn jobIds, nil\n}\n\n// FindRunningJobs returns all currently running jobs for a specific cluster.\n// Filters out short-running jobs based on repoConfig.MinRunningJobDuration threshold.\n//\n// Parameters:\n//   - cluster: Cluster name to filter jobs\n//\n// Returns a slice of running job objects or an error if the query fails.\nfunc (r *JobRepository) FindRunningJobs(cluster string) ([]*schema.Job, error) {\n\tquery := sq.Select(jobColumns...).From(\"job\").\n\t\tWhere(\"job.cluster = ?\", cluster).\n\t\tWhere(\"job.job_state = 'running'\").\n\t\tWhere(\"job.duration > ?\", repoConfig.MinRunningJobDuration)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running FindRunningJobs query for cluster=%s: %v\", cluster, err)\n\t\treturn nil, fmt.Errorf(\"failed to find running jobs for cluster %s: %w\", cluster, err)\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in FindRunningJobs: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindRunningJobs: %w\", err)\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\tcclog.Debugf(\"JobRepository.FindRunningJobs(): Return job count %d (cluster: %s)\", len(jobs), cluster)\n\treturn jobs, nil\n}\n\n// UpdateDuration recalculates and updates the duration field for all running jobs.\n// Called periodically to keep job durations current without querying individual jobs.\n//\n// Duration is calculated as: current_time - job.start_time\n//\n// Returns an error if the database update fails.\nfunc (r *JobRepository) UpdateDuration() error {\n\tstmnt := sq.Update(\"job\").\n\t\tSet(\"duration\", sq.Expr(\"? - job.start_time\", time.Now().Unix())).\n\t\tWhere(\"job_state = 'running'\")\n\n\t_, err := stmnt.RunWith(r.stmtCache).Exec()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while updating duration for running jobs: %v\", err)\n\t\treturn fmt.Errorf(\"failed to update duration for running jobs: %w\", err)\n\t}\n\n\treturn nil\n}\n\n// FindJobsBetween returns jobs within a specified time range.\n// If startTimeBegin is 0, returns all jobs before startTimeEnd.\n// Optionally excludes tagged jobs from results.\n//\n// Parameters:\n//   - startTimeBegin: Unix timestamp for range start (use 0 for unbounded start)\n//   - startTimeEnd: Unix timestamp for range end\n//   - omitTagged: \"none\" = include all jobs, \"all\" = exclude any tagged jobs,\n//     \"user\" = exclude jobs with user-created tags (not auto-tagger types \"app\"/\"jobClass\")\n//\n// Returns a slice of jobs or an error if the time range is invalid or query fails.\nfunc (r *JobRepository) FindJobsBetween(startTimeBegin int64, startTimeEnd int64, omitTagged string) ([]*schema.Job, error) {\n\tvar query sq.SelectBuilder\n\n\tif startTimeBegin == startTimeEnd || startTimeBegin > startTimeEnd {\n\t\treturn nil, errors.New(\"startTimeBegin is equal or larger startTimeEnd\")\n\t}\n\n\tif startTimeBegin == 0 {\n\t\tcclog.Infof(\"Find jobs before %d\", startTimeEnd)\n\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time < ?\", startTimeEnd)\n\t} else {\n\t\tcclog.Infof(\"Find jobs between %d and %d\", startTimeBegin, startTimeEnd)\n\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time BETWEEN ? AND ?\", startTimeBegin, startTimeEnd)\n\t}\n\n\tswitch omitTagged {\n\tcase \"all\":\n\t\tquery = query.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n\tcase \"user\":\n\t\tquery = query.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n\t}\n\n\tquery = query.OrderBy(\"job.cluster ASC\", \"job.subcluster ASC\", \"job.project ASC\", \"job.start_time ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running FindJobsBetween query: %v\", err)\n\t\treturn nil, fmt.Errorf(\"failed to find jobs between %d and %d: %w\", startTimeBegin, startTimeEnd, err)\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobsBetween: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindJobsBetween: %w\", err)\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\tcclog.Debugf(\"JobRepository.FindJobsBetween(): Return job count %d (omitTagged: %v)\", len(jobs), omitTagged)\n\treturn jobs, nil\n}\n\n// UpdateMonitoringStatus updates the monitoring status for a job and invalidates its cache entries.\n// Cache invalidation affects both metadata and energy footprint to ensure consistency.\n//\n// Parameters:\n//   - job: Database ID of the job to update\n//   - monitoringStatus: New monitoring status value (see schema.MonitoringStatus constants)\n//\n// Returns an error if the database update fails.\nfunc (r *JobRepository) UpdateMonitoringStatus(job int64, monitoringStatus int32) (err error) {\n\t// Invalidate cache entries as monitoring status affects job state\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", job))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", job))\n\n\tstmt := sq.Update(\"job\").\n\t\tSet(\"monitoring_status\", monitoringStatus).\n\t\tWhere(\"job.id = ?\", job)\n\n\tif _, err = stmt.RunWith(r.stmtCache).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while updating monitoring status for job %d: %v\", job, err)\n\t\treturn fmt.Errorf(\"failed to update monitoring status for job %d: %w\", job, err)\n\t}\n\treturn nil\n}\n\n// Execute runs a Squirrel UpdateBuilder statement against the database.\n// This is a generic helper for executing pre-built update queries.\n//\n// Parameters:\n//   - stmt: Squirrel UpdateBuilder with prepared update query\n//\n// Returns an error if the execution fails.\nfunc (r *JobRepository) Execute(stmt sq.UpdateBuilder) error {\n\tif _, err := stmt.RunWith(r.stmtCache).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while executing statement: %v\", err)\n\t\treturn fmt.Errorf(\"failed to execute update statement: %w\", err)\n\t}\n\n\treturn nil\n}\n\n// MarkArchived adds monitoring status update to an existing UpdateBuilder statement.\n// This is a builder helper used when constructing multi-field update queries.\n//\n// Parameters:\n//   - stmt: Existing UpdateBuilder to modify\n//   - monitoringStatus: Monitoring status value to set\n//\n// Returns the modified UpdateBuilder for method chaining.\nfunc (r *JobRepository) MarkArchived(\n\tstmt sq.UpdateBuilder,\n\tmonitoringStatus int32,\n) sq.UpdateBuilder {\n\treturn stmt.Set(\"monitoring_status\", monitoringStatus)\n}\n\n// UpdateEnergy calculates and updates the energy consumption for a job.\n// This is called for running jobs during intermediate updates or when archiving.\n//\n// Energy calculation formula:\n//   - For \"power\" metrics: Energy (kWh) = (Power_avg * NumNodes * Duration_hours) / 1000\n//   - For \"energy\" metrics: Currently not implemented (would need sum statistics)\n//\n// The calculation accounts for:\n//   - Multi-node jobs: Multiplies by NumNodes to get total cluster energy\n//   - Shared jobs: Node average is already based on partial resources, so NumNodes=1\n//   - Unit conversion: Watts * hours / 1000 = kilowatt-hours (kWh)\n//   - Rounding: Results rounded to 2 decimal places\nfunc (r *JobRepository) UpdateEnergy(\n\tstmt sq.UpdateBuilder,\n\tjobMeta *schema.Job,\n) (sq.UpdateBuilder, error) {\n\tsc, err := archive.GetSubCluster(jobMeta.Cluster, jobMeta.SubCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())\n\t\treturn stmt, err\n\t}\n\tenergyFootprint := make(map[string]float64)\n\n\t// Accumulate total energy across all energy-related metrics\n\ttotalEnergy := 0.0\n\tfor _, fp := range sc.EnergyFootprint {\n\t\t// Calculate energy for this specific metric\n\t\tmetricEnergy := 0.0\n\t\tif i, err := archive.MetricIndex(sc.MetricConfig, fp); err == nil {\n\t\t\tswitch sc.MetricConfig[i].Energy {\n\t\t\tcase \"energy\": // Metric already in energy units (Joules or Wh)\n\t\t\t\tcclog.Warnf(\"Update EnergyFootprint for Job %d and Metric %s on cluster %s: Set to 'energy' in cluster.json: Not implemented, will return 0.0\", jobMeta.JobID, jobMeta.Cluster, fp)\n\t\t\t\t// FIXME: Needs sum as stats type to accumulate energy values over time\n\t\t\tcase \"power\": // Metric in power units (Watts)\n\t\t\t\t// Energy (kWh) = Power (W) × Time (h) / 1000\n\t\t\t\t// Formula: (avg_power_per_node * num_nodes) * (duration_sec / 3600) / 1000\n\t\t\t\t//\n\t\t\t\t// Breakdown:\n\t\t\t\t//   LoadJobStat(jobMeta, fp, \"avg\") = average power per node (W)\n\t\t\t\t//   jobMeta.NumNodes = number of nodes (1 for shared jobs)\n\t\t\t\t//   jobMeta.Duration / 3600.0 = duration in hours\n\t\t\t\t//   / 1000.0 = convert Wh to kWh\n\t\t\t\trawEnergy := ((LoadJobStat(jobMeta, fp, \"avg\") * float64(jobMeta.NumNodes)) * (float64(jobMeta.Duration) / 3600.0)) / 1000.0\n\t\t\t\tmetricEnergy = math.Round(rawEnergy*100.0) / 100.0 // Round to 2 decimal places\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while collecting energy metric %s for job, DB ID '%v', return '0.0'\", fp, jobMeta.ID)\n\t\t}\n\n\t\tenergyFootprint[fp] = metricEnergy\n\t\ttotalEnergy += metricEnergy\n\t}\n\n\tvar rawFootprint []byte\n\tif rawFootprint, err = json.Marshal(energyFootprint); err != nil {\n\t\tcclog.Warnf(\"Error while marshaling energy footprint for job INTO BYTES, DB ID '%v'\", jobMeta.ID)\n\t\treturn stmt, err\n\t}\n\n\treturn stmt.Set(\"energy_footprint\", string(rawFootprint)).Set(\"energy\", (math.Round(totalEnergy*100.0) / 100.0)), nil\n}\n\n// UpdateFootprint calculates and updates the performance footprint for a job.\n// This is called for running jobs during intermediate updates or when archiving.\n//\n// A footprint is a summary statistic (avg/min/max) for each monitored metric.\n// The specific statistic type is defined in the cluster config's Footprint field.\n// Results are stored as JSON with keys like \"metric_avg\", \"metric_max\", etc.\n//\n// Example: For a \"cpu_load\" metric with Footprint=\"avg\", this stores\n// the average CPU load across all nodes as \"cpu_load_avg\": 85.3\nfunc (r *JobRepository) UpdateFootprint(\n\tstmt sq.UpdateBuilder,\n\tjobMeta *schema.Job,\n) (sq.UpdateBuilder, error) {\n\tsc, err := archive.GetSubCluster(jobMeta.Cluster, jobMeta.SubCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())\n\t\treturn stmt, err\n\t}\n\tfootprint := make(map[string]float64)\n\n\t// Build footprint map with metric_stattype as keys\n\tfor _, fp := range sc.Footprint {\n\t\t// Determine which statistic to use: avg, min, or max\n\t\t// First check global metric config, then cluster-specific config\n\t\tvar statType string\n\t\tfor _, gm := range archive.GlobalMetricList {\n\t\t\tif gm.Name == fp {\n\t\t\t\tstatType = gm.Footprint\n\t\t\t}\n\t\t}\n\n\t\t// Validate statistic type\n\t\tif statType != \"avg\" && statType != \"min\" && statType != \"max\" {\n\t\t\tcclog.Warnf(\"unknown statType for footprint update: %s\", statType)\n\t\t\treturn stmt, fmt.Errorf(\"unknown statType for footprint update: %s\", statType)\n\t\t}\n\n\t\t// Override with cluster-specific config if available\n\t\tif i, err := archive.MetricIndex(sc.MetricConfig, fp); err != nil {\n\t\t\tstatType = sc.MetricConfig[i].Footprint\n\t\t}\n\n\t\t// Store as \"metric_stattype\": value (e.g., \"cpu_load_avg\": 85.3)\n\t\tname := fmt.Sprintf(\"%s_%s\", fp, statType)\n\t\tfootprint[name] = LoadJobStat(jobMeta, fp, statType)\n\t}\n\n\tvar rawFootprint []byte\n\tif rawFootprint, err = json.Marshal(footprint); err != nil {\n\t\tcclog.Warnf(\"Error while marshaling footprint for job INTO BYTES, DB ID '%v'\", jobMeta.ID)\n\t\treturn stmt, err\n\t}\n\n\treturn stmt.Set(\"footprint\", string(rawFootprint)), nil\n}\n\n// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n// that are currently in use by jobs that started before the given timestamp and\n// are still in running state.\n//\n// The timestamp parameter (ts) is compared against job.start_time to find\n// relevant jobs. Returns an error if the database query fails or row iteration\n// encounters errors. Individual row parsing errors are logged but don't fail\n// the entire operation.\nfunc (r *JobRepository) GetUsedNodes(ts int64) (map[string][]string, error) {\n\t// Note: Query expects index on (job_state, start_time) for optimal performance\n\tq := sq.Select(\"job.cluster\", \"job.resources\").From(\"job\").\n\t\tWhere(\"job.start_time < ?\", ts).\n\t\tWhere(\"job.job_state = 'running'\")\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := q.ToSql()\n\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n\t}\n\tdefer rows.Close()\n\n\t// Use a map of sets for efficient deduplication\n\tnodeSet := make(map[string]map[string]struct{})\n\n\tvar (\n\t\tcluster      string\n\t\trawResources []byte\n\t\tresources    []*schema.Resource\n\t\tskippedRows  int\n\t)\n\n\tfor rows.Next() {\n\t\tif err := rows.Scan(&cluster, &rawResources); err != nil {\n\t\t\tcclog.Warnf(\"Error scanning job row in GetUsedNodes: %v\", err)\n\t\t\tskippedRows++\n\t\t\tcontinue\n\t\t}\n\n\t\tresources = resources[:0] // Clear slice, keep capacity\n\t\tif err := json.Unmarshal(rawResources, &resources); err != nil {\n\t\t\tcclog.Warnf(\"Error unmarshaling resources for cluster %s: %v\", cluster, err)\n\t\t\tskippedRows++\n\t\t\tcontinue\n\t\t}\n\n\t\tif len(resources) == 0 {\n\t\t\tcclog.Debugf(\"Job in cluster %s has no resources\", cluster)\n\t\t\tcontinue\n\t\t}\n\n\t\tif _, ok := nodeSet[cluster]; !ok {\n\t\t\tnodeSet[cluster] = make(map[string]struct{})\n\t\t}\n\n\t\tfor _, res := range resources {\n\t\t\tnodeSet[cluster][res.Hostname] = struct{}{}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, fmt.Errorf(\"error iterating rows: %w\", err)\n\t}\n\n\tif skippedRows > 0 {\n\t\tcclog.Warnf(\"GetUsedNodes: Skipped %d rows due to parsing errors\", skippedRows)\n\t}\n\n\t// Convert sets to sorted slices\n\tnodeList := make(map[string][]string, len(nodeSet))\n\tfor cluster, nodes := range nodeSet {\n\t\tlist := make([]string, 0, len(nodes))\n\t\tfor node := range nodes {\n\t\t\tlist = append(list, node)\n\t\t}\n\t\tsort.Strings(list)\n\t\tnodeList[cluster] = list\n\t}\n\n\treturn nodeList, nil\n}\n","structuredPatch":[{"oldStart":66,"oldLines":6,"newStart":66,"newLines":8,"lines":["   \"fmt\"","   \"maps\"","   \"math\"","+  \"path/filepath\"","+  \"runtime\"","   \"sort\"","   \"strconv\"","   \"sync\""]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"15819832-8055-4e39-bc9d-4a47ece02bd4","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
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+{"parentUuid":"d4c9cee3-04a0-4ae5-b7f8-7bfdca3a92b4","isSidechain":false,"promptId":"652c48e5-2f9a-4604-a66a-0690cd2d0027","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SZPEX5512qv3fM85xahS4n","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/job.go has been updated successfully."}]},"uuid":"50bcd5bd-22b4-4919-a37d-015b9f4b77cf","timestamp":"2026-03-16T19:01:47.323Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/job.go","oldString":"\tif err := row.Scan(\n\t\t&job.ID, &job.JobID, &job.User, &job.Project, &job.Cluster, &job.SubCluster,\n\t\t&job.StartTime, &job.Partition, &job.ArrayJobID, &job.NumNodes, &job.NumHWThreads,\n\t\t&job.NumAcc, &job.Shared, &job.MonitoringStatus, &job.SMT, &job.State,\n\t\t&job.Duration, &job.Walltime, &job.RawResources, &job.RawFootprint, &job.Energy); err != nil {\n\t\tcclog.Warnf(\"Error while scanning rows (Job): %v\", err)\n\t\treturn nil, err\n\t}","newString":"\tif err := row.Scan(\n\t\t&job.ID, &job.JobID, &job.User, &job.Project, &job.Cluster, &job.SubCluster,\n\t\t&job.StartTime, &job.Partition, &job.ArrayJobID, &job.NumNodes, &job.NumHWThreads,\n\t\t&job.NumAcc, &job.Shared, &job.MonitoringStatus, &job.SMT, &job.State,\n\t\t&job.Duration, &job.Walltime, &job.RawResources, &job.RawFootprint, &job.Energy); err != nil {\n\t\tif err != sql.ErrNoRows {\n\t\t\t_, file, line, _ := runtime.Caller(1)\n\t\t\tcclog.Warnf(\"Error while scanning rows (Job) (%s:%d): %v\", filepath.Base(file), line, err)\n\t\t}\n\t\treturn nil, err\n\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package repository provides the data access layer for cc-backend using the repository pattern.\n//\n// The repository pattern abstracts database operations and provides a clean interface for\n// data access. Each major entity (Job, User, Node, Tag) has its own repository with CRUD\n// operations and specialized queries.\n//\n// # Database Connection\n//\n// Initialize the database connection before using any repository:\n//\n//\trepository.Connect(\"sqlite3\", \"./var/job.db\")\n//\n// # Configuration\n//\n// Optional: Configure repository settings before initialization:\n//\n//\trepository.SetConfig(&repository.RepositoryConfig{\n//\t    CacheSize: 2 * 1024 * 1024,     // 2MB cache\n//\t    MaxOpenConnections: 8,           // Connection pool size\n//\t    MinRunningJobDuration: 300,      // Filter threshold\n//\t})\n//\n// If not configured, sensible defaults are used automatically.\n//\n// # Repositories\n//\n//   - JobRepository: Job lifecycle management and querying\n//   - UserRepository: User management and authentication\n//   - NodeRepository: Cluster node state tracking\n//   - Tags: Job tagging and categorization\n//\n// # Caching\n//\n// Repositories use LRU caching to improve performance. Cache keys are constructed\n// as \"type:id\" (e.g., \"metadata:123\"). Cache is automatically invalidated on\n// mutations to maintain consistency.\n//\n// # Transaction Support\n//\n// For batch operations, use transactions:\n//\n//\tt, err := jobRepo.TransactionInit()\n//\tif err != nil {\n//\t    return err\n//\t}\n//\tdefer t.Rollback() // Rollback if not committed\n//\n//\t// Perform operations...\n//\tjobRepo.TransactionAdd(t, query, args...)\n//\n//\t// Commit when done\n//\tif err := t.Commit(); err != nil {\n//\t    return err\n//\t}\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"maps\"\n\t\"math\"\n\t\"path/filepath\"\n\t\"runtime\"\n\t\"sort\"\n\t\"strconv\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\t// jobRepoOnce ensures singleton initialization of the JobRepository\n\tjobRepoOnce sync.Once\n\t// jobRepoInstance holds the single instance of JobRepository\n\tjobRepoInstance *JobRepository\n)\n\n// JobRepository provides database access for job-related operations.\n// It implements the repository pattern to abstract database interactions\n// and provides caching for improved performance.\n//\n// The repository is a singleton initialized via GetJobRepository().\n// All database queries use prepared statements via stmtCache for efficiency.\n// Frequently accessed data (metadata, energy footprints) is cached in an LRU cache.\ntype JobRepository struct {\n\tDB        *sqlx.DB        // Database connection pool\n\tstmtCache *sq.StmtCache   // Prepared statement cache for query optimization\n\tcache     *lrucache.Cache // LRU cache for metadata and footprint data\n\tdriver    string          // Database driver name (e.g., \"sqlite3\")\n\tMutex     sync.Mutex      // Mutex for thread-safe operations\n}\n\n// GetJobRepository returns the singleton instance of JobRepository.\n// The repository is initialized lazily on first access with database connection,\n// prepared statement cache, and LRU cache configured from repoConfig.\n//\n// This function is thread-safe and ensures only one instance is created.\n// It must be called after Connect() has established a database connection.\nfunc GetJobRepository() *JobRepository {\n\tjobRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tjobRepoInstance = &JobRepository{\n\t\t\tDB:     db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache:     lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn jobRepoInstance\n}\n\n// jobColumns defines the standard set of columns selected from the job table.\n// Used consistently across all job queries to ensure uniform data retrieval.\nvar jobColumns []string = []string{\n\t\"job.id\", \"job.job_id\", \"job.hpc_user\", \"job.project\", \"job.cluster\", \"job.subcluster\",\n\t\"job.start_time\", \"job.cluster_partition\", \"job.array_job_id\", \"job.num_nodes\",\n\t\"job.num_hwthreads\", \"job.num_acc\", \"job.shared\", \"job.monitoring_status\",\n\t\"job.smt\", \"job.job_state\", \"job.duration\", \"job.walltime\", \"job.resources\",\n\t\"job.footprint\", \"job.energy\",\n}\n\n// jobCacheColumns defines columns from the job_cache table, mirroring jobColumns.\n// Used for queries against cached job data for performance optimization.\nvar jobCacheColumns []string = []string{\n\t\"job_cache.id\", \"job_cache.job_id\", \"job_cache.hpc_user\", \"job_cache.project\", \"job_cache.cluster\",\n\t\"job_cache.subcluster\", \"job_cache.start_time\", \"job_cache.cluster_partition\",\n\t\"job_cache.array_job_id\", \"job_cache.num_nodes\", \"job_cache.num_hwthreads\",\n\t\"job_cache.num_acc\", \"job_cache.shared\", \"job_cache.monitoring_status\", \"job_cache.smt\",\n\t\"job_cache.job_state\", \"job_cache.duration\", \"job_cache.walltime\", \"job_cache.resources\",\n\t\"job_cache.footprint\", \"job_cache.energy\",\n}\n\n// scanJob converts a database row into a schema.Job struct.\n// It handles JSON unmarshaling of resources and footprint fields,\n// and calculates accurate duration for running jobs.\n//\n// Parameters:\n//   - row: Database row implementing Scan() interface (sql.Row or sql.Rows)\n//\n// Returns the populated Job struct or an error if scanning or unmarshaling fails.\nfunc scanJob(row interface{ Scan(...any) error }) (*schema.Job, error) {\n\tjob := &schema.Job{}\n\n\tif err := row.Scan(\n\t\t&job.ID, &job.JobID, &job.User, &job.Project, &job.Cluster, &job.SubCluster,\n\t\t&job.StartTime, &job.Partition, &job.ArrayJobID, &job.NumNodes, &job.NumHWThreads,\n\t\t&job.NumAcc, &job.Shared, &job.MonitoringStatus, &job.SMT, &job.State,\n\t\t&job.Duration, &job.Walltime, &job.RawResources, &job.RawFootprint, &job.Energy); err != nil {\n\t\tcclog.Warnf(\"Error while scanning rows (Job): %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif err := json.Unmarshal(job.RawResources, &job.Resources); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw resources json\")\n\t\treturn nil, err\n\t}\n\tjob.RawResources = nil\n\n\tif err := json.Unmarshal(job.RawFootprint, &job.Footprint); err != nil {\n\t\tcclog.Warnf(\"Error while unmarshaling raw footprint json: %v\", err)\n\t\treturn nil, err\n\t}\n\tjob.RawFootprint = nil\n\n\t// Always ensure accurate duration for running jobs\n\tif job.State == schema.JobStateRunning {\n\t\tjob.Duration = int32(time.Now().Unix() - job.StartTime)\n\t}\n\n\treturn job, nil\n}\n\n// Optimize performs database optimization by running VACUUM command.\n// This reclaims unused space and defragments the database file.\n// Should be run periodically during maintenance windows.\nfunc (r *JobRepository) Optimize() error {\n\tif _, err := r.DB.Exec(`VACUUM`); err != nil {\n\t\tcclog.Errorf(\"Error while executing VACUUM: %v\", err)\n\t\treturn fmt.Errorf(\"failed to optimize database: %w\", err)\n\t}\n\treturn nil\n}\n\n// Flush removes all data from job-related tables (jobtag, tag, job).\n// WARNING: This is a destructive operation that deletes all job data.\n// Use with extreme caution, typically only for testing or complete resets.\nfunc (r *JobRepository) Flush() error {\n\tif _, err := r.DB.Exec(`DELETE FROM jobtag`); err != nil {\n\t\tcclog.Errorf(\"Error while deleting from jobtag table: %v\", err)\n\t\treturn fmt.Errorf(\"failed to flush jobtag table: %w\", err)\n\t}\n\tif _, err := r.DB.Exec(`DELETE FROM tag`); err != nil {\n\t\tcclog.Errorf(\"Error while deleting from tag table: %v\", err)\n\t\treturn fmt.Errorf(\"failed to flush tag table: %w\", err)\n\t}\n\tif _, err := r.DB.Exec(`DELETE FROM job`); err != nil {\n\t\tcclog.Errorf(\"Error while deleting from job table: %v\", err)\n\t\treturn fmt.Errorf(\"failed to flush job table: %w\", err)\n\t}\n\treturn nil\n}\n\n// FetchMetadata retrieves and unmarshals the metadata JSON for a job.\n// Metadata is cached with a 24-hour TTL to improve performance.\n//\n// The metadata field stores arbitrary key-value pairs associated with a job,\n// such as tags, labels, or custom attributes added by external systems.\n//\n// Parameters:\n//   - job: Job struct with valid ID field, metadata will be populated in job.MetaData\n//\n// Returns the metadata map or an error if the job is nil or database query fails.\nfunc (r *JobRepository) FetchMetadata(job *schema.Job) (map[string]string, error) {\n\tif job == nil {\n\t\treturn nil, fmt.Errorf(\"job cannot be nil\")\n\t}\n\n\tstart := time.Now()\n\tcachekey := fmt.Sprintf(\"metadata:%d\", *job.ID)\n\tif cached := r.cache.Get(cachekey, nil); cached != nil {\n\t\tjob.MetaData = cached.(map[string]string)\n\t\treturn job.MetaData, nil\n\t}\n\n\tif err := sq.Select(\"job.meta_data\").From(\"job\").Where(\"job.id = ?\", job.ID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&job.RawMetaData); err != nil {\n\t\tcclog.Warnf(\"Error while scanning for job metadata (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to fetch metadata for job %d: %w\", *job.ID, err)\n\t}\n\n\tif len(job.RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tif err := json.Unmarshal(job.RawMetaData, &job.MetaData); err != nil {\n\t\tcclog.Warnf(\"Error while unmarshaling raw metadata json (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to unmarshal metadata for job %d: %w\", *job.ID, err)\n\t}\n\n\tr.cache.Put(cachekey, job.MetaData, len(job.RawMetaData), 24*time.Hour)\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn job.MetaData, nil\n}\n\n// UpdateMetadata adds or updates a single metadata key-value pair for a job.\n// The entire metadata map is re-marshaled and stored, and the cache is invalidated.\n// Also triggers archive metadata update via archive.UpdateMetadata.\n//\n// Parameters:\n//   - job: Job struct with valid ID, existing metadata will be fetched if not present\n//   - key: Metadata key to set\n//   - val: Metadata value to set\n//\n// Returns an error if the job is nil, metadata fetch fails, or database update fails.\nfunc (r *JobRepository) UpdateMetadata(job *schema.Job, key, val string) (err error) {\n\tif job == nil {\n\t\treturn fmt.Errorf(\"job cannot be nil\")\n\t}\n\n\tcachekey := fmt.Sprintf(\"metadata:%d\", *job.ID)\n\tr.cache.Del(cachekey)\n\tif job.MetaData == nil {\n\t\tif _, err = r.FetchMetadata(job); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for job, DB ID '%v'\", *job.ID)\n\t\t\treturn fmt.Errorf(\"failed to fetch metadata for job %d: %w\", *job.ID, err)\n\t\t}\n\t}\n\n\tif job.MetaData != nil {\n\t\tcpy := make(map[string]string, len(job.MetaData)+1)\n\t\tmaps.Copy(cpy, job.MetaData)\n\t\tcpy[key] = val\n\t\tjob.MetaData = cpy\n\t} else {\n\t\tjob.MetaData = map[string]string{key: val}\n\t}\n\n\tif job.RawMetaData, err = json.Marshal(job.MetaData); err != nil {\n\t\tcclog.Warnf(\"Error while marshaling metadata for job, DB ID '%v'\", *job.ID)\n\t\treturn fmt.Errorf(\"failed to marshal metadata for job %d: %w\", *job.ID, err)\n\t}\n\n\tif _, err = sq.Update(\"job\").\n\t\tSet(\"meta_data\", job.RawMetaData).\n\t\tWhere(\"job.id = ?\", job.ID).\n\t\tRunWith(r.stmtCache).Exec(); err != nil {\n\t\tcclog.Warnf(\"Error while updating metadata for job, DB ID '%v'\", *job.ID)\n\t\treturn fmt.Errorf(\"failed to update metadata in database for job %d: %w\", *job.ID, err)\n\t}\n\n\tr.cache.Put(cachekey, job.MetaData, len(job.RawMetaData), 24*time.Hour)\n\treturn archive.UpdateMetadata(job, job.MetaData)\n}\n\n// FetchFootprint retrieves and unmarshals the performance footprint JSON for a job.\n// Unlike FetchMetadata, footprints are NOT cached as they can be large and change frequently.\n//\n// The footprint contains summary statistics (avg/min/max) for monitored metrics,\n// stored as JSON with keys like \"cpu_load_avg\", \"mem_used_max\", etc.\n//\n// Parameters:\n//   - job: Job struct with valid ID, footprint will be populated in job.Footprint\n//\n// Returns the footprint map or an error if the job is nil or database query fails.\nfunc (r *JobRepository) FetchFootprint(job *schema.Job) (map[string]float64, error) {\n\tif job == nil {\n\t\treturn nil, fmt.Errorf(\"job cannot be nil\")\n\t}\n\n\tstart := time.Now()\n\n\tif err := sq.Select(\"job.footprint\").From(\"job\").Where(\"job.id = ?\", job.ID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&job.RawFootprint); err != nil {\n\t\tcclog.Warnf(\"Error while scanning for job footprint (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to fetch footprint for job %d: %w\", *job.ID, err)\n\t}\n\n\tif len(job.RawFootprint) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tif err := json.Unmarshal(job.RawFootprint, &job.Footprint); err != nil {\n\t\tcclog.Warnf(\"Error while unmarshaling raw footprint json (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to unmarshal footprint for job %d: %w\", *job.ID, err)\n\t}\n\n\tcclog.Debugf(\"Timer FetchFootprint %s\", time.Since(start))\n\treturn job.Footprint, nil\n}\n\n// FetchEnergyFootprint retrieves and unmarshals the energy footprint JSON for a job.\n// Energy footprints are cached with a 24-hour TTL as they are frequently accessed but rarely change.\n//\n// The energy footprint contains calculated energy consumption (in kWh) per metric,\n// stored as JSON with keys like \"power_avg\", \"acc_power_avg\", etc.\n//\n// Parameters:\n//   - job: Job struct with valid ID, energy footprint will be populated in job.EnergyFootprint\n//\n// Returns the energy footprint map or an error if the job is nil or database query fails.\nfunc (r *JobRepository) FetchEnergyFootprint(job *schema.Job) (map[string]float64, error) {\n\tif job == nil {\n\t\treturn nil, fmt.Errorf(\"job cannot be nil\")\n\t}\n\n\tstart := time.Now()\n\tcachekey := fmt.Sprintf(\"energyFootprint:%d\", *job.ID)\n\tif cached := r.cache.Get(cachekey, nil); cached != nil {\n\t\tjob.EnergyFootprint = cached.(map[string]float64)\n\t\treturn job.EnergyFootprint, nil\n\t}\n\n\tif err := sq.Select(\"job.energy_footprint\").From(\"job\").Where(\"job.id = ?\", job.ID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&job.RawEnergyFootprint); err != nil {\n\t\tcclog.Warnf(\"Error while scanning for job energy_footprint (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to fetch energy footprint for job %d: %w\", *job.ID, err)\n\t}\n\n\tif len(job.RawEnergyFootprint) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tif err := json.Unmarshal(job.RawEnergyFootprint, &job.EnergyFootprint); err != nil {\n\t\tcclog.Warnf(\"Error while unmarshaling raw energy footprint json (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to unmarshal energy footprint for job %d: %w\", *job.ID, err)\n\t}\n\n\tr.cache.Put(cachekey, job.EnergyFootprint, len(job.EnergyFootprint), 24*time.Hour)\n\tcclog.Debugf(\"Timer FetchEnergyFootprint %s\", time.Since(start))\n\treturn job.EnergyFootprint, nil\n}\n\n// DeleteJobsBefore removes jobs older than the specified start time.\n// Optionally preserves tagged jobs to protect important data from deletion.\n// Cache entries for deleted jobs are automatically invalidated.\n//\n// This is typically used for data retention policies and cleanup operations.\n// WARNING: This is a destructive operation that permanently deletes job records.\n//\n// Parameters:\n//   - startTime: Unix timestamp, jobs with start_time < this value will be deleted\n//   - omitTagged: \"none\" = delete all jobs, \"all\" = skip any tagged jobs,\n//     \"user\" = skip jobs with user-created tags (not auto-tagger types \"app\"/\"jobClass\")\n//\n// Returns the count of deleted jobs or an error if the operation fails.\nfunc (r *JobRepository) DeleteJobsBefore(startTime int64, omitTagged string) (int, error) {\n\tvar cnt int\n\tq := sq.Select(\"count(*)\").From(\"job\").Where(\"job.start_time < ?\", startTime)\n\n\tswitch omitTagged {\n\tcase \"all\":\n\t\tq = q.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n\tcase \"user\":\n\t\tq = q.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n\t}\n\n\tif err := q.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\n\t\tcclog.Errorf(\"Error counting jobs before %d: %v\", startTime, err)\n\t\treturn 0, err\n\t}\n\n\t// Invalidate cache for jobs being deleted (get job IDs first)\n\tif cnt > 0 {\n\t\tvar jobIds []int64\n\t\tselectQuery := sq.Select(\"id\").From(\"job\").Where(\"job.start_time < ?\", startTime)\n\n\t\tswitch omitTagged {\n\t\tcase \"all\":\n\t\t\tselectQuery = selectQuery.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n\t\tcase \"user\":\n\t\t\tselectQuery = selectQuery.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n\t\t}\n\n\t\trows, err := selectQuery.RunWith(r.DB).Query()\n\t\tif err == nil {\n\t\t\tdefer rows.Close()\n\t\t\tfor rows.Next() {\n\t\t\t\tvar id int64\n\t\t\t\tif err := rows.Scan(&id); err == nil {\n\t\t\t\t\tjobIds = append(jobIds, id)\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Invalidate cache entries\n\t\t\tfor _, id := range jobIds {\n\t\t\t\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", id))\n\t\t\t\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", id))\n\t\t\t}\n\t\t}\n\t}\n\n\tqd := sq.Delete(\"job\").Where(\"job.start_time < ?\", startTime)\n\n\tswitch omitTagged {\n\tcase \"all\":\n\t\tqd = qd.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n\tcase \"user\":\n\t\tqd = qd.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n\t}\n\t_, err := qd.RunWith(r.DB).Exec()\n\n\tif err != nil {\n\t\ts, _, _ := qd.ToSql()\n\t\tcclog.Errorf(\" DeleteJobsBefore(%d) with %s: error %#v\", startTime, s, err)\n\t} else {\n\t\tcclog.Debugf(\"DeleteJobsBefore(%d): Deleted %d jobs\", startTime, cnt)\n\t}\n\treturn cnt, err\n}\n\n// DeleteJobByID permanently removes a single job by its database ID.\n// Cache entries for the deleted job are automatically invalidated.\n//\n// Parameters:\n//   - id: Database ID (primary key) of the job to delete\n//\n// Returns an error if the deletion fails.\nfunc (r *JobRepository) DeleteJobByID(id int64) error {\n\t// Invalidate cache entries before deletion\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", id))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", id))\n\n\tqd := sq.Delete(\"job\").Where(\"job.id = ?\", id)\n\t_, err := qd.RunWith(r.DB).Exec()\n\n\tif err != nil {\n\t\ts, _, _ := qd.ToSql()\n\t\tcclog.Errorf(\"DeleteJobById(%d) with %s : error %#v\", id, s, err)\n\t} else {\n\t\tcclog.Debugf(\"DeleteJobById(%d): Success\", id)\n\t}\n\treturn err\n}\n\n// FindUserOrProjectOrJobname attempts to interpret a search term as a job ID,\n// username, project ID, or job name by querying the database.\n//\n// Search logic (in priority order):\n//  1. If searchterm is numeric, treat as job ID (returned immediately)\n//  2. Try exact match in job.hpc_user column (username)\n//  3. Try LIKE match in hpc_user.name column (real name)\n//  4. Try exact match in job.project column (project ID)\n//  5. If no matches, return searchterm as jobname for GraphQL query\n//\n// This powers the searchbar functionality for flexible job searching.\n// Requires authenticated user for database lookups (returns empty if user is nil).\n//\n// Parameters:\n//   - user: Authenticated user context, required for database access\n//   - searchterm: Search string to interpret\n//\n// Returns up to one non-empty value among (jobid, username, project, jobname).\nfunc (r *JobRepository) FindUserOrProjectOrJobname(user *schema.User, searchterm string) (jobid string, username string, project string, jobname string) {\n\tif searchterm == \"\" {\n\t\treturn \"\", \"\", \"\", \"\"\n\t}\n\n\tif _, err := strconv.Atoi(searchterm); err == nil { // Return empty on successful conversion: parent method will redirect for integer jobId\n\t\treturn searchterm, \"\", \"\", \"\"\n\t} else { // Has to have letters and logged-in user for other guesses\n\t\tif user != nil {\n\t\t\t// Find username by username in job table (match)\n\t\t\turesult, _ := r.FindColumnValue(user, searchterm, \"job\", \"hpc_user\", \"hpc_user\", false)\n\t\t\tif uresult != \"\" {\n\t\t\t\treturn \"\", uresult, \"\", \"\"\n\t\t\t}\n\t\t\t// Find username by real name in hpc_user table (like)\n\t\t\tnresult, _ := r.FindColumnValue(user, searchterm, \"hpc_user\", \"username\", \"name\", true)\n\t\t\tif nresult != \"\" {\n\t\t\t\treturn \"\", nresult, \"\", \"\"\n\t\t\t}\n\t\t\t// Find projectId by projectId in job table (match)\n\t\t\tpresult, _ := r.FindColumnValue(user, searchterm, \"job\", \"project\", \"project\", false)\n\t\t\tif presult != \"\" {\n\t\t\t\treturn \"\", \"\", presult, \"\"\n\t\t\t}\n\t\t}\n\t\t// Return searchterm if no match before: Forward as jobname query to GQL in handleSearchbar function\n\t\treturn \"\", \"\", \"\", searchterm\n\t}\n}\n\nvar (\n\tErrNotFound  = errors.New(\"no such jobname, project or user\")\n\tErrForbidden = errors.New(\"not authorized\")\n)\n\n// FindColumnValue performs a generic column lookup in a database table with role-based access control.\n// Only users with admin, support, or manager roles can execute this query.\n//\n// Parameters:\n//   - user: User context for authorization check\n//   - searchterm: Value to search for (exact match or LIKE pattern)\n//   - table: Database table name to query\n//   - selectColumn: Column name to return in results\n//   - whereColumn: Column name to filter on\n//   - isLike: If true, use LIKE with wildcards; if false, use exact equality\n//\n// Returns the first matching value, ErrForbidden if user lacks permission,\n// or ErrNotFound if no matches are found.\nfunc (r *JobRepository) FindColumnValue(user *schema.User, searchterm string, table string, selectColumn string, whereColumn string, isLike bool) (result string, err error) {\n\tif user == nil {\n\t\treturn \"\", fmt.Errorf(\"user cannot be nil\")\n\t}\n\n\tcompareStr := \" = ?\"\n\tquery := searchterm\n\tif isLike {\n\t\tcompareStr = \" LIKE ?\"\n\t\tquery = \"%\" + searchterm + \"%\"\n\t}\n\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\ttheQuery := sq.Select(table+\".\"+selectColumn).Distinct().From(table).\n\t\t\tWhere(table+\".\"+whereColumn+compareStr, query)\n\n\t\terr := theQuery.RunWith(r.stmtCache).QueryRow().Scan(&result)\n\n\t\tif err != nil && err != sql.ErrNoRows {\n\t\t\tcclog.Warnf(\"Error while querying FindColumnValue (table=%s, column=%s): %v\", table, selectColumn, err)\n\t\t\treturn \"\", fmt.Errorf(\"failed to find column value: %w\", err)\n\t\t} else if err == nil {\n\t\t\treturn result, nil\n\t\t}\n\t\treturn \"\", ErrNotFound\n\t} else {\n\t\tcclog.Infof(\"Non-Admin User %s : Requested Query '%s' on table '%s' : Forbidden\", user.Name, query, table)\n\t\treturn \"\", ErrForbidden\n\t}\n}\n\n// FindColumnValues performs a generic column lookup returning multiple matches with role-based access control.\n// Similar to FindColumnValue but returns all matching values instead of just the first.\n// Only users with admin, support, or manager roles can execute this query.\n//\n// Parameters:\n//   - user: User context for authorization check\n//   - query: Search pattern (always uses LIKE with wildcards)\n//   - table: Database table name to query\n//   - selectColumn: Column name to return in results\n//   - whereColumn: Column name to filter on\n//\n// Returns a slice of matching values, ErrForbidden if user lacks permission,\n// or ErrNotFound if no matches are found.\nfunc (r *JobRepository) FindColumnValues(user *schema.User, query string, table string, selectColumn string, whereColumn string) (results []string, err error) {\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"user cannot be nil\")\n\t}\n\n\temptyResult := make([]string, 0)\n\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\trows, err := sq.Select(table+\".\"+selectColumn).Distinct().From(table).\n\t\t\tWhere(table+\".\"+whereColumn+\" LIKE ?\", fmt.Sprint(\"%\", query, \"%\")).\n\t\t\tRunWith(r.stmtCache).Query()\n\t\tif err != nil && err != sql.ErrNoRows {\n\t\t\tcclog.Errorf(\"Error while querying FindColumnValues (table=%s, column=%s): %v\", table, selectColumn, err)\n\t\t\treturn emptyResult, fmt.Errorf(\"failed to find column values: %w\", err)\n\t\t} else if err == nil {\n\t\t\tdefer rows.Close()\n\t\t\tfor rows.Next() {\n\t\t\t\tvar result string\n\t\t\t\terr := rows.Scan(&result)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Warnf(\"Error while scanning rows in FindColumnValues: %v\", err)\n\t\t\t\t\treturn emptyResult, fmt.Errorf(\"failed to scan column value: %w\", err)\n\t\t\t\t}\n\t\t\t\tresults = append(results, result)\n\t\t\t}\n\t\t\treturn results, nil\n\t\t}\n\t\treturn emptyResult, ErrNotFound\n\n\t} else {\n\t\tcclog.Infof(\"Non-Admin User %s : Requested Query '%s' on table '%s' : Forbidden\", user.Name, query, table)\n\t\treturn emptyResult, ErrForbidden\n\t}\n}\n\n// Partitions returns a list of distinct cluster partitions for a given cluster.\n// Results are cached with a 1-hour TTL to improve performance.\n//\n// Parameters:\n//   - cluster: Cluster name to query partitions for\n//\n// Returns a slice of partition names or an error if the database query fails.\nfunc (r *JobRepository) Partitions(cluster string) ([]string, error) {\n\tvar err error\n\tstart := time.Now()\n\tpartitions := r.cache.Get(\"partitions:\"+cluster, func() (any, time.Duration, int) {\n\t\tparts := []string{}\n\t\tif err = r.DB.Select(&parts, `SELECT DISTINCT job.cluster_partition FROM job WHERE job.cluster = ?;`, cluster); err != nil {\n\t\t\treturn nil, 0, 1000\n\t\t}\n\n\t\treturn parts, 1 * time.Hour, 1\n\t})\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tcclog.Debugf(\"Timer Partitions %s\", time.Since(start))\n\treturn partitions.([]string), nil\n}\n\n// AllocatedNodes returns a map of all subclusters to a map of hostnames to the amount of jobs running on that host.\n// Hosts with zero jobs running on them will not show up!\nfunc (r *JobRepository) AllocatedNodes(cluster string) (map[string]map[string]int, error) {\n\tstart := time.Now()\n\tsubclusters := make(map[string]map[string]int)\n\trows, err := sq.Select(\"resources\", \"subcluster\").From(\"job\").\n\t\tWhere(\"job.job_state = 'running'\").\n\t\tWhere(\"job.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running AllocatedNodes query for cluster=%s: %v\", cluster, err)\n\t\treturn nil, fmt.Errorf(\"failed to query allocated nodes for cluster %s: %w\", cluster, err)\n\t}\n\n\tvar raw []byte\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\traw = raw[0:0]\n\t\tvar resources []*schema.Resource\n\t\tvar subcluster string\n\t\tif err := rows.Scan(&raw, &subcluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in AllocatedNodes: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan allocated nodes row: %w\", err)\n\t\t}\n\t\tif err := json.Unmarshal(raw, &resources); err != nil {\n\t\t\tcclog.Warnf(\"Error while unmarshaling raw resources json in AllocatedNodes: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to unmarshal resources in AllocatedNodes: %w\", err)\n\t\t}\n\n\t\thosts, ok := subclusters[subcluster]\n\t\tif !ok {\n\t\t\thosts = make(map[string]int)\n\t\t\tsubclusters[subcluster] = hosts\n\t\t}\n\n\t\tfor _, resource := range resources {\n\t\t\thosts[resource.Hostname] += 1\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AllocatedNodes %s\", time.Since(start))\n\treturn subclusters, nil\n}\n\n// StopJobsExceedingWalltimeBy marks running jobs as failed if they exceed their walltime limit.\n// This is typically called periodically to clean up stuck or orphaned jobs.\n//\n// Jobs are marked with:\n//   - monitoring_status: MonitoringStatusArchivingFailed\n//   - duration: 0\n//   - job_state: JobStateFailed\n//\n// Parameters:\n//   - seconds: Grace period beyond walltime before marking as failed\n//\n// Returns an error if the database update fails.\n// Logs the number of jobs marked as failed if any were affected.\nfunc (r *JobRepository) StopJobsExceedingWalltimeBy(seconds int) error {\n\tstart := time.Now()\n\tcurrentTime := time.Now().Unix()\n\tres, err := sq.Update(\"job\").\n\t\tSet(\"monitoring_status\", schema.MonitoringStatusArchivingFailed).\n\t\tSet(\"duration\", 0).\n\t\tSet(\"job_state\", schema.JobStateFailed).\n\t\tWhere(\"job.job_state = 'running'\").\n\t\tWhere(\"job.walltime > 0\").\n\t\tWhere(\"job.start_time < (? - job.walltime)\", currentTime-int64(seconds)).\n\t\tRunWith(r.DB).Exec()\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while stopping jobs exceeding walltime: %v\", err)\n\t\treturn fmt.Errorf(\"failed to stop jobs exceeding walltime: %w\", err)\n\t}\n\n\trowsAffected, err := res.RowsAffected()\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while fetching affected rows after stopping due to exceeded walltime: %v\", err)\n\t\treturn fmt.Errorf(\"failed to get rows affected count: %w\", err)\n\t}\n\n\tif rowsAffected > 0 {\n\t\tcclog.Infof(\"%d jobs have been marked as failed due to running too long\", rowsAffected)\n\t}\n\tcclog.Debugf(\"Timer StopJobsExceedingWalltimeBy %s\", time.Since(start))\n\treturn nil\n}\n\n// FindJobIdsByTag returns all job database IDs associated with a specific tag.\n//\n// Parameters:\n//   - tagID: Database ID of the tag to search for\n//\n// Returns a slice of job IDs or an error if the query fails.\nfunc (r *JobRepository) FindJobIdsByTag(tagID int64) ([]int64, error) {\n\tquery := sq.Select(\"job.id\").From(\"job\").\n\t\tJoin(\"jobtag ON jobtag.job_id = job.id\").\n\t\tWhere(sq.Eq{\"jobtag.tag_id\": tagID}).Distinct()\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running FindJobIdsByTag query for tagID=%d: %v\", tagID, err)\n\t\treturn nil, fmt.Errorf(\"failed to find job IDs by tag %d: %w\", tagID, err)\n\t}\n\tdefer rows.Close()\n\n\tjobIds := make([]int64, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar jobID int64\n\n\t\tif err := rows.Scan(&jobID); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobIdsByTag: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job ID in FindJobIdsByTag: %w\", err)\n\t\t}\n\n\t\tjobIds = append(jobIds, jobID)\n\t}\n\n\treturn jobIds, nil\n}\n\n// FindRunningJobs returns all currently running jobs for a specific cluster.\n// Filters out short-running jobs based on repoConfig.MinRunningJobDuration threshold.\n//\n// Parameters:\n//   - cluster: Cluster name to filter jobs\n//\n// Returns a slice of running job objects or an error if the query fails.\nfunc (r *JobRepository) FindRunningJobs(cluster string) ([]*schema.Job, error) {\n\tquery := sq.Select(jobColumns...).From(\"job\").\n\t\tWhere(\"job.cluster = ?\", cluster).\n\t\tWhere(\"job.job_state = 'running'\").\n\t\tWhere(\"job.duration > ?\", repoConfig.MinRunningJobDuration)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running FindRunningJobs query for cluster=%s: %v\", cluster, err)\n\t\treturn nil, fmt.Errorf(\"failed to find running jobs for cluster %s: %w\", cluster, err)\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in FindRunningJobs: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindRunningJobs: %w\", err)\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\tcclog.Debugf(\"JobRepository.FindRunningJobs(): Return job count %d (cluster: %s)\", len(jobs), cluster)\n\treturn jobs, nil\n}\n\n// UpdateDuration recalculates and updates the duration field for all running jobs.\n// Called periodically to keep job durations current without querying individual jobs.\n//\n// Duration is calculated as: current_time - job.start_time\n//\n// Returns an error if the database update fails.\nfunc (r *JobRepository) UpdateDuration() error {\n\tstmnt := sq.Update(\"job\").\n\t\tSet(\"duration\", sq.Expr(\"? - job.start_time\", time.Now().Unix())).\n\t\tWhere(\"job_state = 'running'\")\n\n\t_, err := stmnt.RunWith(r.stmtCache).Exec()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while updating duration for running jobs: %v\", err)\n\t\treturn fmt.Errorf(\"failed to update duration for running jobs: %w\", err)\n\t}\n\n\treturn nil\n}\n\n// FindJobsBetween returns jobs within a specified time range.\n// If startTimeBegin is 0, returns all jobs before startTimeEnd.\n// Optionally excludes tagged jobs from results.\n//\n// Parameters:\n//   - startTimeBegin: Unix timestamp for range start (use 0 for unbounded start)\n//   - startTimeEnd: Unix timestamp for range end\n//   - omitTagged: \"none\" = include all jobs, \"all\" = exclude any tagged jobs,\n//     \"user\" = exclude jobs with user-created tags (not auto-tagger types \"app\"/\"jobClass\")\n//\n// Returns a slice of jobs or an error if the time range is invalid or query fails.\nfunc (r *JobRepository) FindJobsBetween(startTimeBegin int64, startTimeEnd int64, omitTagged string) ([]*schema.Job, error) {\n\tvar query sq.SelectBuilder\n\n\tif startTimeBegin == startTimeEnd || startTimeBegin > startTimeEnd {\n\t\treturn nil, errors.New(\"startTimeBegin is equal or larger startTimeEnd\")\n\t}\n\n\tif startTimeBegin == 0 {\n\t\tcclog.Infof(\"Find jobs before %d\", startTimeEnd)\n\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time < ?\", startTimeEnd)\n\t} else {\n\t\tcclog.Infof(\"Find jobs between %d and %d\", startTimeBegin, startTimeEnd)\n\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time BETWEEN ? AND ?\", startTimeBegin, startTimeEnd)\n\t}\n\n\tswitch omitTagged {\n\tcase \"all\":\n\t\tquery = query.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n\tcase \"user\":\n\t\tquery = query.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n\t}\n\n\tquery = query.OrderBy(\"job.cluster ASC\", \"job.subcluster ASC\", \"job.project ASC\", \"job.start_time ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running FindJobsBetween query: %v\", err)\n\t\treturn nil, fmt.Errorf(\"failed to find jobs between %d and %d: %w\", startTimeBegin, startTimeEnd, err)\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobsBetween: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindJobsBetween: %w\", err)\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\tcclog.Debugf(\"JobRepository.FindJobsBetween(): Return job count %d (omitTagged: %v)\", len(jobs), omitTagged)\n\treturn jobs, nil\n}\n\n// UpdateMonitoringStatus updates the monitoring status for a job and invalidates its cache entries.\n// Cache invalidation affects both metadata and energy footprint to ensure consistency.\n//\n// Parameters:\n//   - job: Database ID of the job to update\n//   - monitoringStatus: New monitoring status value (see schema.MonitoringStatus constants)\n//\n// Returns an error if the database update fails.\nfunc (r *JobRepository) UpdateMonitoringStatus(job int64, monitoringStatus int32) (err error) {\n\t// Invalidate cache entries as monitoring status affects job state\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", job))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", job))\n\n\tstmt := sq.Update(\"job\").\n\t\tSet(\"monitoring_status\", monitoringStatus).\n\t\tWhere(\"job.id = ?\", job)\n\n\tif _, err = stmt.RunWith(r.stmtCache).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while updating monitoring status for job %d: %v\", job, err)\n\t\treturn fmt.Errorf(\"failed to update monitoring status for job %d: %w\", job, err)\n\t}\n\treturn nil\n}\n\n// Execute runs a Squirrel UpdateBuilder statement against the database.\n// This is a generic helper for executing pre-built update queries.\n//\n// Parameters:\n//   - stmt: Squirrel UpdateBuilder with prepared update query\n//\n// Returns an error if the execution fails.\nfunc (r *JobRepository) Execute(stmt sq.UpdateBuilder) error {\n\tif _, err := stmt.RunWith(r.stmtCache).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while executing statement: %v\", err)\n\t\treturn fmt.Errorf(\"failed to execute update statement: %w\", err)\n\t}\n\n\treturn nil\n}\n\n// MarkArchived adds monitoring status update to an existing UpdateBuilder statement.\n// This is a builder helper used when constructing multi-field update queries.\n//\n// Parameters:\n//   - stmt: Existing UpdateBuilder to modify\n//   - monitoringStatus: Monitoring status value to set\n//\n// Returns the modified UpdateBuilder for method chaining.\nfunc (r *JobRepository) MarkArchived(\n\tstmt sq.UpdateBuilder,\n\tmonitoringStatus int32,\n) sq.UpdateBuilder {\n\treturn stmt.Set(\"monitoring_status\", monitoringStatus)\n}\n\n// UpdateEnergy calculates and updates the energy consumption for a job.\n// This is called for running jobs during intermediate updates or when archiving.\n//\n// Energy calculation formula:\n//   - For \"power\" metrics: Energy (kWh) = (Power_avg * NumNodes * Duration_hours) / 1000\n//   - For \"energy\" metrics: Currently not implemented (would need sum statistics)\n//\n// The calculation accounts for:\n//   - Multi-node jobs: Multiplies by NumNodes to get total cluster energy\n//   - Shared jobs: Node average is already based on partial resources, so NumNodes=1\n//   - Unit conversion: Watts * hours / 1000 = kilowatt-hours (kWh)\n//   - Rounding: Results rounded to 2 decimal places\nfunc (r *JobRepository) UpdateEnergy(\n\tstmt sq.UpdateBuilder,\n\tjobMeta *schema.Job,\n) (sq.UpdateBuilder, error) {\n\tsc, err := archive.GetSubCluster(jobMeta.Cluster, jobMeta.SubCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())\n\t\treturn stmt, err\n\t}\n\tenergyFootprint := make(map[string]float64)\n\n\t// Accumulate total energy across all energy-related metrics\n\ttotalEnergy := 0.0\n\tfor _, fp := range sc.EnergyFootprint {\n\t\t// Calculate energy for this specific metric\n\t\tmetricEnergy := 0.0\n\t\tif i, err := archive.MetricIndex(sc.MetricConfig, fp); err == nil {\n\t\t\tswitch sc.MetricConfig[i].Energy {\n\t\t\tcase \"energy\": // Metric already in energy units (Joules or Wh)\n\t\t\t\tcclog.Warnf(\"Update EnergyFootprint for Job %d and Metric %s on cluster %s: Set to 'energy' in cluster.json: Not implemented, will return 0.0\", jobMeta.JobID, jobMeta.Cluster, fp)\n\t\t\t\t// FIXME: Needs sum as stats type to accumulate energy values over time\n\t\t\tcase \"power\": // Metric in power units (Watts)\n\t\t\t\t// Energy (kWh) = Power (W) × Time (h) / 1000\n\t\t\t\t// Formula: (avg_power_per_node * num_nodes) * (duration_sec / 3600) / 1000\n\t\t\t\t//\n\t\t\t\t// Breakdown:\n\t\t\t\t//   LoadJobStat(jobMeta, fp, \"avg\") = average power per node (W)\n\t\t\t\t//   jobMeta.NumNodes = number of nodes (1 for shared jobs)\n\t\t\t\t//   jobMeta.Duration / 3600.0 = duration in hours\n\t\t\t\t//   / 1000.0 = convert Wh to kWh\n\t\t\t\trawEnergy := ((LoadJobStat(jobMeta, fp, \"avg\") * float64(jobMeta.NumNodes)) * (float64(jobMeta.Duration) / 3600.0)) / 1000.0\n\t\t\t\tmetricEnergy = math.Round(rawEnergy*100.0) / 100.0 // Round to 2 decimal places\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while collecting energy metric %s for job, DB ID '%v', return '0.0'\", fp, jobMeta.ID)\n\t\t}\n\n\t\tenergyFootprint[fp] = metricEnergy\n\t\ttotalEnergy += metricEnergy\n\t}\n\n\tvar rawFootprint []byte\n\tif rawFootprint, err = json.Marshal(energyFootprint); err != nil {\n\t\tcclog.Warnf(\"Error while marshaling energy footprint for job INTO BYTES, DB ID '%v'\", jobMeta.ID)\n\t\treturn stmt, err\n\t}\n\n\treturn stmt.Set(\"energy_footprint\", string(rawFootprint)).Set(\"energy\", (math.Round(totalEnergy*100.0) / 100.0)), nil\n}\n\n// UpdateFootprint calculates and updates the performance footprint for a job.\n// This is called for running jobs during intermediate updates or when archiving.\n//\n// A footprint is a summary statistic (avg/min/max) for each monitored metric.\n// The specific statistic type is defined in the cluster config's Footprint field.\n// Results are stored as JSON with keys like \"metric_avg\", \"metric_max\", etc.\n//\n// Example: For a \"cpu_load\" metric with Footprint=\"avg\", this stores\n// the average CPU load across all nodes as \"cpu_load_avg\": 85.3\nfunc (r *JobRepository) UpdateFootprint(\n\tstmt sq.UpdateBuilder,\n\tjobMeta *schema.Job,\n) (sq.UpdateBuilder, error) {\n\tsc, err := archive.GetSubCluster(jobMeta.Cluster, jobMeta.SubCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())\n\t\treturn stmt, err\n\t}\n\tfootprint := make(map[string]float64)\n\n\t// Build footprint map with metric_stattype as keys\n\tfor _, fp := range sc.Footprint {\n\t\t// Determine which statistic to use: avg, min, or max\n\t\t// First check global metric config, then cluster-specific config\n\t\tvar statType string\n\t\tfor _, gm := range archive.GlobalMetricList {\n\t\t\tif gm.Name == fp {\n\t\t\t\tstatType = gm.Footprint\n\t\t\t}\n\t\t}\n\n\t\t// Validate statistic type\n\t\tif statType != \"avg\" && statType != \"min\" && statType != \"max\" {\n\t\t\tcclog.Warnf(\"unknown statType for footprint update: %s\", statType)\n\t\t\treturn stmt, fmt.Errorf(\"unknown statType for footprint update: %s\", statType)\n\t\t}\n\n\t\t// Override with cluster-specific config if available\n\t\tif i, err := archive.MetricIndex(sc.MetricConfig, fp); err != nil {\n\t\t\tstatType = sc.MetricConfig[i].Footprint\n\t\t}\n\n\t\t// Store as \"metric_stattype\": value (e.g., \"cpu_load_avg\": 85.3)\n\t\tname := fmt.Sprintf(\"%s_%s\", fp, statType)\n\t\tfootprint[name] = LoadJobStat(jobMeta, fp, statType)\n\t}\n\n\tvar rawFootprint []byte\n\tif rawFootprint, err = json.Marshal(footprint); err != nil {\n\t\tcclog.Warnf(\"Error while marshaling footprint for job INTO BYTES, DB ID '%v'\", jobMeta.ID)\n\t\treturn stmt, err\n\t}\n\n\treturn stmt.Set(\"footprint\", string(rawFootprint)), nil\n}\n\n// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n// that are currently in use by jobs that started before the given timestamp and\n// are still in running state.\n//\n// The timestamp parameter (ts) is compared against job.start_time to find\n// relevant jobs. Returns an error if the database query fails or row iteration\n// encounters errors. Individual row parsing errors are logged but don't fail\n// the entire operation.\nfunc (r *JobRepository) GetUsedNodes(ts int64) (map[string][]string, error) {\n\t// Note: Query expects index on (job_state, start_time) for optimal performance\n\tq := sq.Select(\"job.cluster\", \"job.resources\").From(\"job\").\n\t\tWhere(\"job.start_time < ?\", ts).\n\t\tWhere(\"job.job_state = 'running'\")\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := q.ToSql()\n\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n\t}\n\tdefer rows.Close()\n\n\t// Use a map of sets for efficient deduplication\n\tnodeSet := make(map[string]map[string]struct{})\n\n\tvar (\n\t\tcluster      string\n\t\trawResources []byte\n\t\tresources    []*schema.Resource\n\t\tskippedRows  int\n\t)\n\n\tfor rows.Next() {\n\t\tif err := rows.Scan(&cluster, &rawResources); err != nil {\n\t\t\tcclog.Warnf(\"Error scanning job row in GetUsedNodes: %v\", err)\n\t\t\tskippedRows++\n\t\t\tcontinue\n\t\t}\n\n\t\tresources = resources[:0] // Clear slice, keep capacity\n\t\tif err := json.Unmarshal(rawResources, &resources); err != nil {\n\t\t\tcclog.Warnf(\"Error unmarshaling resources for cluster %s: %v\", cluster, err)\n\t\t\tskippedRows++\n\t\t\tcontinue\n\t\t}\n\n\t\tif len(resources) == 0 {\n\t\t\tcclog.Debugf(\"Job in cluster %s has no resources\", cluster)\n\t\t\tcontinue\n\t\t}\n\n\t\tif _, ok := nodeSet[cluster]; !ok {\n\t\t\tnodeSet[cluster] = make(map[string]struct{})\n\t\t}\n\n\t\tfor _, res := range resources {\n\t\t\tnodeSet[cluster][res.Hostname] = struct{}{}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, fmt.Errorf(\"error iterating rows: %w\", err)\n\t}\n\n\tif skippedRows > 0 {\n\t\tcclog.Warnf(\"GetUsedNodes: Skipped %d rows due to parsing errors\", skippedRows)\n\t}\n\n\t// Convert sets to sorted slices\n\tnodeList := make(map[string][]string, len(nodeSet))\n\tfor cluster, nodes := range nodeSet {\n\t\tlist := make([]string, 0, len(nodes))\n\t\tfor node := range nodes {\n\t\t\tlist = append(list, node)\n\t\t}\n\t\tsort.Strings(list)\n\t\tnodeList[cluster] = list\n\t}\n\n\treturn nodeList, nil\n}\n","structuredPatch":[{"oldStart":161,"oldLines":7,"newStart":161,"newLines":10,"lines":["     &job.StartTime, &job.Partition, &job.ArrayJobID, &job.NumNodes, &job.NumHWThreads,","     &job.NumAcc, &job.Shared, &job.MonitoringStatus, &job.SMT, &job.State,","     &job.Duration, &job.Walltime, &job.RawResources, &job.RawFootprint, &job.Energy); err != nil {","-    cclog.Warnf(\"Error while scanning rows (Job): %v\", err)","+    if err != sql.ErrNoRows {","+      _, file, line, _ := runtime.Caller(1)","+      cclog.Warnf(\"Error while scanning rows (Job) (%s:%d): %v\", filepath.Base(file), line, err)","+    }","     return nil, err","   }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"d4c9cee3-04a0-4ae5-b7f8-7bfdca3a92b4","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
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+{"parentUuid":"a0c1b564-0b01-40c3-9a68-d4252c8a1379","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01LLgQu8vWBMjXHgwX8yzhyB","toolUseID":"toolu_01LLgQu8vWBMjXHgwX8yzhyB","timestamp":"2026-03-16T19:01:53.281Z","uuid":"99ac6eb4-1c4b-4eb3-84ff-0d84bbcf53f8","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
+{"parentUuid":"a0c1b564-0b01-40c3-9a68-d4252c8a1379","isSidechain":false,"promptId":"652c48e5-2f9a-4604-a66a-0690cd2d0027","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LLgQu8vWBMjXHgwX8yzhyB","type":"tool_result","content":"   157→\tjob := &schema.Job{}\n   158→\n   159→\tif err := row.Scan(\n   160→\t\t&job.ID, &job.JobID, &job.User, &job.Project, &job.Cluster, &job.SubCluster,\n   161→\t\t&job.StartTime, &job.Partition, &job.ArrayJobID, &job.NumNodes, &job.NumHWThreads,\n   162→\t\t&job.NumAcc, &job.Shared, &job.MonitoringStatus, &job.SMT, &job.State,\n   163→\t\t&job.Duration, &job.Walltime, &job.RawResources, &job.RawFootprint, &job.Energy); err != nil {\n   164→\t\tif err != sql.ErrNoRows {\n   165→\t\t\t_, file, line, _ := runtime.Caller(1)\n   166→\t\t\tcclog.Warnf(\"Error while scanning rows (Job) (%s:%d): %v\", filepath.Base(file), line, err)\n   167→\t\t}\n   168→\t\treturn nil, err\n   169→\t}\n   170→\n   171→\tif err := json.Unmarshal(job.RawResources, &job.Resources); err != nil {\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"e2777777-4aba-464b-ac22-53497faaf27f","timestamp":"2026-03-16T19:01:53.280Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/job.go","content":"\tjob := &schema.Job{}\n\n\tif err := row.Scan(\n\t\t&job.ID, &job.JobID, &job.User, &job.Project, &job.Cluster, &job.SubCluster,\n\t\t&job.StartTime, &job.Partition, &job.ArrayJobID, &job.NumNodes, &job.NumHWThreads,\n\t\t&job.NumAcc, &job.Shared, &job.MonitoringStatus, &job.SMT, &job.State,\n\t\t&job.Duration, &job.Walltime, &job.RawResources, &job.RawFootprint, &job.Energy); err != nil {\n\t\tif err != sql.ErrNoRows {\n\t\t\t_, file, line, _ := runtime.Caller(1)\n\t\t\tcclog.Warnf(\"Error while scanning rows (Job) (%s:%d): %v\", filepath.Base(file), line, err)\n\t\t}\n\t\treturn nil, err\n\t}\n\n\tif err := json.Unmarshal(job.RawResources, &job.Resources); err != nil {","numLines":15,"startLine":157,"totalLines":1142}},"sourceToolAssistantUUID":"a0c1b564-0b01-40c3-9a68-d4252c8a1379","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
+{"parentUuid":"e2777777-4aba-464b-ac22-53497faaf27f","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_01JfBHG4JuCDoWEcDgayacbn","type":"message","role":"assistant","content":[{"type":"text","text":"The code looks correct. The diagnostics may be stale. Let me verify by building:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":612,"cache_read_input_tokens":22016,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":612},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ7GzKg4UET3gyLgVGUmR","type":"assistant","uuid":"eb1f6cd9-6c7e-4c75-ab41-da1c05adb074","timestamp":"2026-03-16T19:01:57.750Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
+{"parentUuid":"eb1f6cd9-6c7e-4c75-ab41-da1c05adb074","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_01JfBHG4JuCDoWEcDgayacbn","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01F5VjS3hYr62xfzuVoMxTgn","name":"Bash","input":{"command":"go build ./internal/repository/... 2>&1","description":"Build repository package"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":612,"cache_read_input_tokens":22016,"output_tokens":117,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":612,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ7GzKg4UET3gyLgVGUmR","type":"assistant","uuid":"bb1e93f1-92d3-4ced-b8e4-7e3fb5017a84","timestamp":"2026-03-16T19:01:58.078Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
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+{"parentUuid":"2d479235-f53d-4fb5-b07e-1cf9a697f33f","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_019uiVBANmfWsFCq3jjbPKsJ","type":"message","role":"assistant","content":[{"type":"text","text":"Clean build. Let me also run the repository tests:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":231,"cache_read_input_tokens":22628,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":231},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ7GzsNoSNXVvAbrT1pod","type":"assistant","uuid":"65174e85-5723-42ac-b9f5-c0e1e58f37f4","timestamp":"2026-03-16T19:02:05.449Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
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+{"parentUuid":"1c22dd49-1d07-4e02-98fc-d2d9bd384f36","isSidechain":false,"promptId":"652c48e5-2f9a-4604-a66a-0690cd2d0027","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01553Q3NHVKMqKyeA7wybkFJ","type":"tool_result","content":"ok  \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t0.887s","is_error":false}]},"uuid":"ada75e01-2dcc-4e8d-86df-c0f1b9d67040","timestamp":"2026-03-16T19:02:09.917Z","toolUseResult":{"stdout":"ok  \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t0.887s","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"1c22dd49-1d07-4e02-98fc-d2d9bd384f36","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
+{"parentUuid":"ada75e01-2dcc-4e8d-86df-c0f1b9d67040","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_01SWU5onx1QX5RjWwfezkdU7","type":"message","role":"assistant","content":[{"type":"text","text":"All tests pass. The changes are complete:\n\n- `sql.ErrNoRows` is now returned silently (no warning log)\n- Real scan errors include the caller's `file:line` in the warning, e.g. `Error while scanning rows (Job) (jobQuery.go:87): ...`"}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":131,"cache_read_input_tokens":22859,"output_tokens":72,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":131,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ7H1Z12WheJuQxsdwymL","type":"assistant","uuid":"691d7efd-d4d0-421c-a09f-8f5287679115","timestamp":"2026-03-16T19:02:14.051Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
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diff --git a/85/8b34ef56b8/0/metadata.json b/85/8b34ef56b8/0/metadata.json
new file mode 100644
index 00000000..8a5de5da
--- /dev/null
+++ b/85/8b34ef56b8/0/metadata.json
@@ -0,0 +1,30 @@
+{
+  "cli_version": "0.4.8",
+  "checkpoint_id": "858b34ef56b8",
+  "session_id": "7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd",
+  "strategy": "manual-commit",
+  "created_at": "2026-03-16T19:03:32.318189Z",
+  "branch": "hotfix",
+  "checkpoints_count": 1,
+  "files_touched": [
+    "internal/repository/job.go"
+  ],
+  "agent": "Claude Code",
+  "turn_id": "9fa519255684",
+  "token_usage": {
+    "input_tokens": 11,
+    "cache_creation_tokens": 9711,
+    "cache_read_tokens": 180508,
+    "output_tokens": 1631,
+    "api_call_count": 9
+  },
+  "initial_attribution": {
+    "calculated_at": "2026-03-16T19:03:32.265756Z",
+    "agent_lines": 6,
+    "human_added": 0,
+    "human_modified": 0,
+    "human_removed": 0,
+    "total_committed": 6,
+    "agent_percentage": 100
+  }
+}
diff --git a/85/8b34ef56b8/0/prompt.txt b/85/8b34ef56b8/0/prompt.txt
new file mode 100644
index 00000000..1b34fb2e
--- /dev/null
+++ b/85/8b34ef56b8/0/prompt.txt
@@ -0,0 +1,64 @@
+Implement the following plan:
+
+# Plan: Improve scanJob logging
+
+## Context
+
+`scanJob` in `internal/repository/job.go` (line 162) logs a `Warn` for every scan error, including the very common `sql.ErrNoRows` case. This produces noisy, unhelpful log lines like:
+
+```
+WARN Error while scanning rows (Job): sql: no rows in result set
+```
+
+Two problems:
+1. `sql.ErrNoRows` is a normal, expected condition (callers are documented to check for it). It should not produce a warning.
+2. When a real scan error does occur, there's no call-site context — you can't tell which of the ~10 callers triggered it.
+
+The codebase already has a precedent for using `runtime.Caller(1)` in `internal/api/rest.go:188` to include file/line in log messages.
+
+## Approach
+
+Modify `scanJob` in `internal/repository/job.go`:
+
+1. **Skip logging for `sql.ErrNoRows`** — return the error silently. All callers already handle this case themselves.
+2. **Add caller context** for real scan errors using `runtime.Caller(1)` — include `file:line` in the warning message.
+
+```go
+import (
+    "database/sql"
+    "path/filepath"
+    "runtime"
+    // existing imports ...
+)
+
+func scanJob(row interface{ Scan(...any) error }) (*schema.Job, error) {
+    job := &schema.Job{}
+
+    if err := row.Scan(...); err != nil {
+        if err != sql.ErrNoRows {
+            _, file, line, _ := runtime.Caller(1)
+            cclog.Warnf("Error while scanning rows (Job) (%s:%d): %v", filepath.Base(file), line, err)
+        }
+        return nil, err
+    }
+    // ... rest unchanged
+}
+```
+
+## Critical File
+
+- `internal/repository/job.go` — only file to change (lines 154–184)
+
+## Imports to check
+
+`database/sql` is likely already imported (used elsewhere in the package). `runtime` and `path/filepath` — check if already present; add if not.
+
+## Verification
+
+1. `go build ./...` — must compile cleanly
+2. `go test ./internal/repository/...` — existing tests must pass
+3. Manually: trigger a lookup for a non-existent job ID; confirm no warning is logged
+4. Manually (or via test): force a real scan error; confirm warning includes `job.go:<line>`
+
+
+If you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-CC-cc-backend/b03f52bf-e58e-45a2-8b95-af846938ee2c.jsonl
\ No newline at end of file
diff --git a/85/8b34ef56b8/metadata.json b/85/8b34ef56b8/metadata.json
new file mode 100644
index 00000000..52981f89
--- /dev/null
+++ b/85/8b34ef56b8/metadata.json
@@ -0,0 +1,26 @@
+{
+  "cli_version": "0.4.8",
+  "checkpoint_id": "858b34ef56b8",
+  "strategy": "manual-commit",
+  "branch": "hotfix",
+  "checkpoints_count": 1,
+  "files_touched": [
+    "internal/repository/job.go"
+  ],
+  "sessions": [
+    {
+      "metadata": "/85/8b34ef56b8/0/metadata.json",
+      "transcript": "/85/8b34ef56b8/0/full.jsonl",
+      "context": "/85/8b34ef56b8/0/context.md",
+      "content_hash": "/85/8b34ef56b8/0/content_hash.txt",
+      "prompt": "/85/8b34ef56b8/0/prompt.txt"
+    }
+  ],
+  "token_usage": {
+    "input_tokens": 11,
+    "cache_creation_tokens": 9711,
+    "cache_read_tokens": 180508,
+    "output_tokens": 1631,
+    "api_call_count": 9
+  }
+}
diff --git a/89/3a1de325b5/0/content_hash.txt b/89/3a1de325b5/0/content_hash.txt
new file mode 100644
index 00000000..4aaaf804
--- /dev/null
+++ b/89/3a1de325b5/0/content_hash.txt
@@ -0,0 +1 @@
+sha256:4202939423b762601910b8a2503b87416d2f9a79e16465fa0f821cb7d06afcaf
\ No newline at end of file
diff --git a/89/3a1de325b5/0/context.md b/89/3a1de325b5/0/context.md
new file mode 100644
index 00000000..3d044d8f
--- /dev/null
+++ b/89/3a1de325b5/0/context.md
@@ -0,0 +1,18 @@
+# Session Context
+
+## User Prompts
+
+### Prompt 1
+
+Implement the following plan:
+
+# Plan: Add RRDTool-style Average Consolidation Function to Resampler
+
+## Context
+
+The current downsampler in `cc-lib/v2/resampler` offers two algorithms:
+- **LTTB** (LargestTriangleThreeBucket): Perceptually-aware — picks points that preserve visual shape (peaks/valleys). Used at all call sites.
+- **SimpleResampler**: Decimation — picks every nth point. Fast but lossy.
+
+Neither produces scientifically accurate averages over time intervals. RRDTool's **AVERAGE C...
+
diff --git a/89/3a1de325b5/0/full.jsonl b/89/3a1de325b5/0/full.jsonl
new file mode 100644
index 00000000..ca4f89e0
--- /dev/null
+++ b/89/3a1de325b5/0/full.jsonl
@@ -0,0 +1,274 @@
+{"type":"file-history-snapshot","messageId":"f6080b4d-410f-4d5f-8683-7ccc8a8d37db","snapshot":{"messageId":"f6080b4d-410f-4d5f-8683-7ccc8a8d37db","trackedFileBackups":{},"timestamp":"2026-03-19T19:46:16.256Z"},"isSnapshotUpdate":false}
+{"parentUuid":null,"isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"a499f749-6cc1-445b-b9ed-0404b683ef36","toolUseID":"a499f749-6cc1-445b-b9ed-0404b683ef36","timestamp":"2026-03-19T19:46:16.214Z","uuid":"7557b65b-9ecb-4d31-a987-15813445639f","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
+{"parentUuid":"7557b65b-9ecb-4d31-a987-15813445639f","isSidechain":false,"promptId":"1c46e1b2-ade5-44be-90d9-e93109c02833","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Plan: Add RRDTool-style Average Consolidation Function to Resampler\n\n## Context\n\nThe current downsampler in `cc-lib/v2/resampler` offers two algorithms:\n- **LTTB** (LargestTriangleThreeBucket): Perceptually-aware — picks points that preserve visual shape (peaks/valleys). Used at all call sites.\n- **SimpleResampler**: Decimation — picks every nth point. Fast but lossy.\n\nNeither produces scientifically accurate averages over time intervals. RRDTool's **AVERAGE Consolidation Function (CF)** divides data into fixed-size buckets and computes the arithmetic mean of all points in each bucket. This is the standard approach for monitoring data where the true mean per interval matters more than visual fidelity (e.g., for statistics, SLA reporting, capacity planning).\n\nThe goal: add an `AverageResampler` to cc-lib, then expose it as a per-query option in cc-backend's GraphQL API so the frontend/caller can choose the algorithm.\n\n---\n\n## Part 1: cc-lib changes (`/Users/jan/prg/CC/cc-lib/`)\n\n### 1a. Add `AverageResampler` to `resampler/resampler.go`\n\nNew exported function with the same signature as existing resamplers:\n\n```go\nfunc AverageResampler(data []schema.Float, oldFrequency int64, newFrequency int64) ([]schema.Float, int64, error)\n```\n\n**Algorithm (RRDTool AVERAGE CF):**\n1. Call `validateFrequency()` for early-exit checks (reuses existing validation).\n2. Compute `step = newFrequency / oldFrequency` (points per bucket).\n3. For each bucket of `step` consecutive points, compute arithmetic mean skipping NaN values. If all values in a bucket are NaN, output NaN for that bucket.\n4. Return averaged data, `newFrequency`, nil.\n\n**NaN handling**: Skip NaN values and average only valid points (consistent with RRDTool behavior and `AddStats()` in `pkg/metricstore/api.go`). This differs from LTTB which propagates NaN if *any* bucket point is NaN.\n\n### 1b. Add `ResamplerFunc` type and lookup\n\nAdd a function type and string-based lookup to make algorithm selection easy for consumers:\n\n```go\n// ResamplerFunc is the signature shared by all resampler algorithms.\ntype ResamplerFunc func(data []schema.Float, oldFrequency int64, newFrequency int64) ([]schema.Float, int64, error)\n\n// GetResampler returns the resampler function for the given name.\n// Valid names: \"lttb\" (default), \"average\", \"simple\". Empty string returns LTTB.\nfunc GetResampler(name string) (ResamplerFunc, error)\n```\n\n### 1c. Add tests to `resampler/resampler_test.go`\n\nFollowing the existing test patterns (table-driven, same helper functions):\n- Basic averaging: `[1,2,3,4,5,6]` step=2 → `[1.5, 3.5, 5.5]`\n- NaN skipping within buckets\n- All-NaN bucket → NaN output\n- Early-exit conditions (same set as SimpleResampler/LTTB tests)\n- Frequency validation errors\n- Benchmark: `BenchmarkAverageResampler`\n\n---\n\n## Part 2: cc-backend changes (`/Users/jan/tmp/cc-backend/`)\n\n### 2a. Add `replace` directive to `go.mod`\n\n```\nreplace github.com/ClusterCockpit/cc-lib/v2 => ../../prg/CC/cc-lib\n```\n\n### 2b. Add GraphQL enum and query parameter\n\nIn `api/schema.graphqls`, add enum and parameter to both queries that accept `resolution`:\n\n```graphql\nenum ResampleAlgo {\n  LTTB\n  AVERAGE\n  SIMPLE\n}\n```\n\nAdd `resampleAlgo: ResampleAlgo` parameter to:\n- `jobMetrics(id: ID!, metrics: [String!], scopes: [MetricScope!], resolution: Int, resampleAlgo: ResampleAlgo): [JobMetricWithName!]!`\n- `nodeMetricsList(..., resolution: Int, resampleAlgo: ResampleAlgo): NodesResultList!`\n\nThen run `make graphql` to regenerate.\n\n### 2c. Update resolvers to pass algorithm through\n\n**`internal/graph/schema.resolvers.go`**:\n\n`JobMetrics` resolver (line ~501): accept new `resampleAlgo *model.ResampleAlgo` parameter (auto-generated by gqlgen), convert to string, pass to `LoadData`.\n\n`NodeMetricsList` resolver (line ~875): same treatment, pass to `LoadNodeListData`.\n\n### 2d. Thread algorithm through data loading\n\n**`internal/metricdispatch/dataLoader.go`**:\n\n- `LoadData()` (line 85): add `resampleAlgo string` parameter. Use `resampler.GetResampler(resampleAlgo)` to get the function, call it instead of hardcoded `resampler.LargestTriangleThreeBucket` at line 145.\n- `LoadNodeListData()` (line 409): add `resampleAlgo string` parameter, pass through to `InternalMetricStore.LoadNodeListData`.\n\n**`pkg/metricstore/query.go`**:\n\n- `InternalMetricStore.LoadNodeListData()` (line 616): add `resampleAlgo string` to signature, include in `APIQueryRequest` or pass to `MemoryStore.Read`.\n\n**`pkg/metricstore/metricstore.go`**:\n\n- `MemoryStore.Read()` (line ~682): add `resampleAlgo string` parameter. At line 740, use `resampler.GetResampler(resampleAlgo)` instead of hardcoded LTTB.\n\n### 2e. Update cache key\n\n**`internal/metricdispatch/dataLoader.go`**: The `cacheKey()` function must include the algorithm name so different algorithms don't serve stale cached results.\n\n---\n\n## Files to modify\n\n| File | Repo | Change |\n|------|------|--------|\n| `resampler/resampler.go` | cc-lib | Add `AverageResampler`, `ResamplerFunc`, `GetResampler` |\n| `resampler/resampler_test.go` | cc-lib | Add tests + benchmark |\n| `go.mod` | cc-backend | Add `replace` directive |\n| `api/schema.graphqls` | cc-backend | Add `ResampleAlgo` enum, update query params |\n| `internal/graph/generated/` | cc-backend | Regenerated (`make graphql`) |\n| `internal/graph/schema.resolvers.go` | cc-backend | Pass algorithm to data loaders |\n| `internal/metricdispatch/dataLoader.go` | cc-backend | Thread algorithm to resampler calls, update cache key |\n| `pkg/metricstore/query.go` | cc-backend | Thread algorithm through `LoadNodeListData` |\n| `pkg/metricstore/metricstore.go` | cc-backend | Thread algorithm through `Read()`, use `GetResampler` |\n\n## Verification\n\n1. `cd /Users/jan/prg/CC/cc-lib && go test ./resampler/...` — new + existing tests pass\n2. `cd /Users/jan/tmp/cc-backend && make graphql` — GraphQL code regenerates cleanly\n3. `make` — full build succeeds\n4. `make test` — all existing tests pass\n5. Manual: GraphQL playground query with `resampleAlgo: AVERAGE` vs default LTTB — average produces smoother curves without artificial peak preservation\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-tmp-cc-backend/190ae749-6a19-47a7-82da-dba5a0e7402d.jsonl"},"uuid":"f6080b4d-410f-4d5f-8683-7ccc8a8d37db","timestamp":"2026-03-19T19:46:16.044Z","planContent":"# Plan: Add RRDTool-style Average Consolidation Function to Resampler\n\n## Context\n\nThe current downsampler in `cc-lib/v2/resampler` offers two algorithms:\n- **LTTB** (LargestTriangleThreeBucket): Perceptually-aware — picks points that preserve visual shape (peaks/valleys). Used at all call sites.\n- **SimpleResampler**: Decimation — picks every nth point. Fast but lossy.\n\nNeither produces scientifically accurate averages over time intervals. 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Compute `step = newFrequency / oldFrequency` (points per bucket).\n3. For each bucket of `step` consecutive points, compute arithmetic mean skipping NaN values. If all values in a bucket are NaN, output NaN for that bucket.\n4. Return averaged data, `newFrequency`, nil.\n\n**NaN handling**: Skip NaN values and average only valid points (consistent with RRDTool behavior and `AddStats()` in `pkg/metricstore/api.go`). This differs from LTTB which propagates NaN if *any* bucket point is NaN.\n\n### 1b. Add `ResamplerFunc` type and lookup\n\nAdd a function type and string-based lookup to make algorithm selection easy for consumers:\n\n```go\n// ResamplerFunc is the signature shared by all resampler algorithms.\ntype ResamplerFunc func(data []schema.Float, oldFrequency int64, newFrequency int64) ([]schema.Float, int64, error)\n\n// GetResampler returns the resampler function for the given name.\n// Valid names: \"lttb\" (default), \"average\", \"simple\". Empty string returns LTTB.\nfunc GetResampler(name string) (ResamplerFunc, error)\n```\n\n### 1c. Add tests to `resampler/resampler_test.go`\n\nFollowing the existing test patterns (table-driven, same helper functions):\n- Basic averaging: `[1,2,3,4,5,6]` step=2 → `[1.5, 3.5, 5.5]`\n- NaN skipping within buckets\n- All-NaN bucket → NaN output\n- Early-exit conditions (same set as SimpleResampler/LTTB tests)\n- Frequency validation errors\n- Benchmark: `BenchmarkAverageResampler`\n\n---\n\n## Part 2: cc-backend changes (`/Users/jan/tmp/cc-backend/`)\n\n### 2a. Add `replace` directive to `go.mod`\n\n```\nreplace github.com/ClusterCockpit/cc-lib/v2 => ../../prg/CC/cc-lib\n```\n\n### 2b. Add GraphQL enum and query parameter\n\nIn `api/schema.graphqls`, add enum and parameter to both queries that accept `resolution`:\n\n```graphql\nenum ResampleAlgo {\n  LTTB\n  AVERAGE\n  SIMPLE\n}\n```\n\nAdd `resampleAlgo: ResampleAlgo` parameter to:\n- `jobMetrics(id: ID!, metrics: [String!], scopes: [MetricScope!], resolution: Int, resampleAlgo: ResampleAlgo): [JobMetricWithName!]!`\n- `nodeMetricsList(..., resolution: Int, resampleAlgo: ResampleAlgo): NodesResultList!`\n\nThen run `make graphql` to regenerate.\n\n### 2c. Update resolvers to pass algorithm through\n\n**`internal/graph/schema.resolvers.go`**:\n\n`JobMetrics` resolver (line ~501): accept new `resampleAlgo *model.ResampleAlgo` parameter (auto-generated by gqlgen), convert to string, pass to `LoadData`.\n\n`NodeMetricsList` resolver (line ~875): same treatment, pass to `LoadNodeListData`.\n\n### 2d. Thread algorithm through data loading\n\n**`internal/metricdispatch/dataLoader.go`**:\n\n- `LoadData()` (line 85): add `resampleAlgo string` parameter. Use `resampler.GetResampler(resampleAlgo)` to get the function, call it instead of hardcoded `resampler.LargestTriangleThreeBucket` at line 145.\n- `LoadNodeListData()` (line 409): add `resampleAlgo string` parameter, pass through to `InternalMetricStore.LoadNodeListData`.\n\n**`pkg/metricstore/query.go`**:\n\n- `InternalMetricStore.LoadNodeListData()` (line 616): add `resampleAlgo string` to signature, include in `APIQueryRequest` or pass to `MemoryStore.Read`.\n\n**`pkg/metricstore/metricstore.go`**:\n\n- `MemoryStore.Read()` (line ~682): add `resampleAlgo string` parameter. At line 740, use `resampler.GetResampler(resampleAlgo)` instead of hardcoded LTTB.\n\n### 2e. Update cache key\n\n**`internal/metricdispatch/dataLoader.go`**: The `cacheKey()` function must include the algorithm name so different algorithms don't serve stale cached results.\n\n---\n\n## Files to modify\n\n| File | Repo | Change |\n|------|------|--------|\n| `resampler/resampler.go` | cc-lib | Add `AverageResampler`, `ResamplerFunc`, `GetResampler` |\n| `resampler/resampler_test.go` | cc-lib | Add tests + benchmark |\n| `go.mod` | cc-backend | Add `replace` directive |\n| `api/schema.graphqls` | cc-backend | Add `ResampleAlgo` enum, update query params |\n| `internal/graph/generated/` | cc-backend | Regenerated (`make graphql`) |\n| `internal/graph/schema.resolvers.go` | cc-backend | Pass algorithm to data loaders |\n| `internal/metricdispatch/dataLoader.go` | cc-backend | Thread algorithm to resampler calls, update cache key |\n| `pkg/metricstore/query.go` | cc-backend | Thread algorithm through `LoadNodeListData` |\n| `pkg/metricstore/metricstore.go` | cc-backend | Thread algorithm through `Read()`, use `GetResampler` |\n\n## Verification\n\n1. `cd /Users/jan/prg/CC/cc-lib && go test ./resampler/...` — new + existing tests pass\n2. `cd /Users/jan/tmp/cc-backend && make graphql` — GraphQL code regenerates cleanly\n3. `make` — full build succeeds\n4. `make test` — all existing tests pass\n5. Manual: GraphQL playground query with `resampleAlgo: AVERAGE` vs default LTTB — average produces smoother curves without artificial peak preservation\n","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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+{"parentUuid":"1a2a8feb-692c-46b2-a514-6f2e667b818e","isSidechain":false,"promptId":"1c46e1b2-ade5-44be-90d9-e93109c02833","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PMMDkWEVbmfUVC1vomjeTe","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-lib.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package resampler provides time-series data downsampling algorithms.\n     7→//\n     8→// This package implements two downsampling strategies for reducing the number\n     9→// of data points in time-series data while preserving important characteristics:\n    10→//\n    11→//   - SimpleResampler: A fast, straightforward algorithm that selects every nth point\n    12→//   - LargestTriangleThreeBucket (LTTB): A perceptually-aware algorithm that preserves\n    13→//     visual characteristics by selecting points that maximize the area of triangles\n    14→//     formed with neighboring points\n    15→//\n    16→// Both algorithms are designed to work with schema.Float data and handle NaN values\n    17→// appropriately. They require that the new sampling frequency is a multiple of the\n    18→// old frequency.\n    19→//\n    20→// References:\n    21→//   - LTTB Algorithm: https://skemman.is/bitstream/1946/15343/3/SS_MSthesis.pdf\n    22→//   - Implementation adapted from: https://github.com/haoel/downsampling\n    23→package resampler\n    24→\n    25→import (\n    26→\t\"fmt\"\n    27→\t\"math\"\n    28→\n    29→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    30→)\n    31→\n    32→// MinimumRequiredPoints is the default number of points required to trigger resampling.\n    33→// If the data has fewer points, the original time series will be returned without resampling.\n    34→var MinimumRequiredPoints int = 1000\n    35→\n    36→// calculateTriangleArea computes the area of a triangle defined by three points.\n    37→//\n    38→// The area is calculated using the cross product formula:\n    39→// Area = 0.5 * |((paX - pcX) * (pbY - paY)) - ((paX - pbX) * (pcY - paY))|\n    40→//\n    41→// This is used by the LTTB algorithm to determine which points preserve the\n    42→// most visual information when downsampling.\n    43→func calculateTriangleArea(paX, paY, pbX, pbY, pcX, pcY schema.Float) float64 {\n    44→\tarea := ((paX-pcX)*(pbY-paY) - (paX-pbX)*(pcY-paY)) * 0.5\n    45→\treturn math.Abs(float64(area))\n    46→}\n    47→\n    48→// calculateAverageDataPoint computes the average point from a slice of data points.\n    49→//\n    50→// Parameters:\n    51→//   - points: slice of Y values to average\n    52→//   - xStart: starting X coordinate for the points\n    53→//\n    54→// Returns:\n    55→//   - avgX: average X coordinate\n    56→//   - avgY: average Y value, or NaN if any input point is NaN\n    57→//\n    58→// This function is used by LTTB to find the centroid of points in a bucket,\n    59→// which is then used to calculate triangle areas for point selection.\n    60→func calculateAverageDataPoint(points []schema.Float, xStart int64) (avgX schema.Float, avgY schema.Float) {\n    61→\thasNaN := false\n    62→\tfor _, point := range points {\n    63→\t\tavgX += schema.Float(xStart)\n    64→\t\tavgY += point\n    65→\t\txStart++\n    66→\t\tif math.IsNaN(float64(point)) {\n    67→\t\t\thasNaN = true\n    68→\t\t}\n    69→\t}\n    70→\n    71→\tl := schema.Float(len(points))\n    72→\tavgX /= l\n    73→\tavgY /= l\n    74→\n    75→\tif hasNaN {\n    76→\t\treturn avgX, schema.NaN\n    77→\t}\n    78→\treturn avgX, avgY\n    79→}\n    80→\n    81→// SimpleResampler performs simple downsampling by selecting every nth point.\n    82→//\n    83→// This is the fastest downsampling method but may miss important features in the data.\n    84→// It works by calculating a step size (newFrequency / oldFrequency) and selecting\n    85→// every step-th point from the original data.\n    86→//\n    87→// Parameters:\n    88→//   - data: input time-series data points\n    89→//   - oldFrequency: original sampling frequency (points per time unit)\n    90→//   - newFrequency: target sampling frequency (must be a multiple of oldFrequency)\n    91→//\n    92→// Returns:\n    93→//   - Downsampled data slice\n    94→//   - Actual frequency used (may be oldFrequency if downsampling wasn't performed)\n    95→//   - Error if newFrequency is not a multiple of oldFrequency\n    96→//\n    97→// The function returns the original data unchanged if:\n    98→//   - Either frequency is 0\n    99→//   - newFrequency <= oldFrequency (no downsampling needed)\n   100→//   - The resulting data would have fewer than 1 point\n   101→//   - The original data has fewer than 100 points\n   102→//   - The downsampled data would have the same or more points than the original\n   103→//\n   104→// Example:\n   105→//\n   106→//\tdata := []schema.Float{1.0, 2.0, 3.0, 4.0, 5.0, 6.0}\n   107→//\tdownsampled, freq, err := SimpleResampler(data, 1, 2)\n   108→//\t// Returns: [1.0, 3.0, 5.0], 2, nil\n   109→func SimpleResampler(data []schema.Float, oldFrequency int64, newFrequency int64) ([]schema.Float, int64, error) {\n   110→\t// checks if the frequencies are valid or not.\n   111→\tnewDataLength, step, err := validateFrequency(len(data), oldFrequency, newFrequency)\n   112→\tif err != nil {\n   113→\t\treturn nil, 0, err\n   114→\t}\n   115→\tif newDataLength == -1 {\n   116→\t\treturn data, oldFrequency, nil\n   117→\t}\n   118→\n   119→\tnewData := make([]schema.Float, newDataLength)\n   120→\tfor i := range newDataLength {\n   121→\t\tnewData[i] = data[i*step]\n   122→\t}\n   123→\n   124→\treturn newData, newFrequency, nil\n   125→}\n   126→\n   127→func validateFrequency(lenData int, oldFrequency, newFrequency int64) (int, int, error) {\n   128→\t// Validate inputs and check if downsampling is needed\n   129→\tif oldFrequency == 0 || newFrequency == 0 || newFrequency <= oldFrequency {\n   130→\t\treturn -1, 0, nil\n   131→\t}\n   132→\n   133→\t// Ensure new frequency is a multiple of old frequency\n   134→\tif newFrequency%oldFrequency != 0 {\n   135→\t\treturn -1, 0, fmt.Errorf(\"new sampling frequency (%d) must be a multiple of old frequency (%d)\", newFrequency, oldFrequency)\n   136→\t}\n   137→\n   138→\tstep := int(newFrequency / oldFrequency)\n   139→\tnewDataLength := lenData / step\n   140→\n   141→\t// Don't downsample if result would be trivial or counterproductive\n   142→\tif (newDataLength == 0) || (lenData < MinimumRequiredPoints) || (newDataLength >= lenData) {\n   143→\t\treturn -1, 0, nil\n   144→\t}\n   145→\n   146→\treturn newDataLength, step, nil\n   147→}\n   148→\n   149→// LargestTriangleThreeBucket (LTTB) performs perceptually-aware downsampling.\n   150→//\n   151→// LTTB is a downsampling algorithm that preserves the visual characteristics of\n   152→// time-series data by selecting points that form the largest triangles with their\n   153→// neighbors. This ensures that important peaks, valleys, and trends are retained\n   154→// even when significantly reducing the number of points.\n   155→//\n   156→// Algorithm Overview:\n   157→//  1. The data is divided into buckets (except first and last points which are always kept)\n   158→//  2. For each bucket, the algorithm selects the point that forms the largest triangle\n   159→//     with the previous selected point and the average of the next bucket\n   160→//  3. This maximizes the visual area and preserves important features\n   161→//\n   162→// Time Complexity: O(n) where n is the number of input points\n   163→// Space Complexity: O(m) where m is the number of output points\n   164→//\n   165→// Parameters:\n   166→//   - data: input time-series data points\n   167→//   - oldFrequency: original sampling frequency (points per time unit)\n   168→//   - newFrequency: target sampling frequency (must be a multiple of oldFrequency)\n   169→//\n   170→// Returns:\n   171→//   - Downsampled data slice\n   172→//   - Actual frequency used (may be oldFrequency if downsampling wasn't performed)\n   173→//   - Error if newFrequency is not a multiple of oldFrequency\n   174→//\n   175→// The function returns the original data unchanged if:\n   176→//   - Either frequency is 0\n   177→//   - newFrequency <= oldFrequency (no downsampling needed)\n   178→//   - The resulting data would have fewer than 1 point\n   179→//   - The original data has fewer than 100 points\n   180→//   - The downsampled data would have the same or more points than the original\n   181→//\n   182→// NaN Handling:\n   183→// The algorithm properly handles NaN values and preserves them in the output when\n   184→// they represent the maximum area point in a bucket.\n   185→//\n   186→// Example:\n   187→//\n   188→//\tdata := []schema.Float{1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0}\n   189→//\tdownsampled, freq, err := LargestTriangleThreeBucket(data, 1, 2)\n   190→//\t// Returns downsampled data preserving visual characteristics\n   191→//\n   192→// References:\n   193→//   - Original paper: https://skemman.is/bitstream/1946/15343/3/SS_MSthesis.pdf\n   194→//   - Adapted from: https://github.com/haoel/downsampling/blob/master/core/lttb.go\n   195→func LargestTriangleThreeBucket(data []schema.Float, oldFrequency int64, newFrequency int64) ([]schema.Float, int64, error) {\n   196→\t// checks if the frequencies are valid or not.\n   197→\tnewDataLength, _, err := validateFrequency(len(data), oldFrequency, newFrequency)\n   198→\tif err != nil {\n   199→\t\treturn nil, 0, err\n   200→\t}\n   201→\tif newDataLength == -1 {\n   202→\t\treturn data, oldFrequency, nil\n   203→\t}\n   204→\n   205→\tnewData := make([]schema.Float, 0, newDataLength)\n   206→\n   207→\t// Bucket size. Leave room for start and end data points\n   208→\tbucketSize := float64(len(data)-2) / float64(newDataLength-2)\n   209→\n   210→\t// Always add the first point\n   211→\tnewData = append(newData, data[0])\n   212→\n   213→\t// Bucket pointers:\n   214→\t// - bucketLow: current bucket's start\n   215→\t// - bucketMiddle: current bucket's end (also next bucket's start)\n   216→\t// - bucketHigh: next bucket's end\n   217→\tbucketLow := 1\n   218→\tbucketMiddle := int(math.Floor(bucketSize)) + 1\n   219→\n   220→\tvar prevMaxAreaPoint int\n   221→\n   222→\t// Process each bucket (excluding first and last points)\n   223→\tfor i := 0; i < newDataLength-2; i++ {\n   224→\t\tbucketHigh := int(math.Floor(float64(i+2)*bucketSize)) + 1\n   225→\t\tif bucketHigh >= len(data)-1 {\n   226→\t\t\tbucketHigh = len(data) - 2\n   227→\t\t}\n   228→\n   229→\t\t// Calculate average point for next bucket (point c in triangle)\n   230→\t\tavgPointX, avgPointY := calculateAverageDataPoint(data[bucketMiddle:bucketHigh+1], int64(bucketMiddle))\n   231→\n   232→\t\t// Get the range for current bucket\n   233→\t\tcurrBucketStart := bucketLow\n   234→\t\tcurrBucketEnd := bucketMiddle\n   235→\n   236→\t\t// Point a (previously selected point)\n   237→\t\tpointX := prevMaxAreaPoint\n   238→\t\tpointY := data[prevMaxAreaPoint]\n   239→\n   240→\t\tmaxArea := -1.0\n   241→\t\tvar maxAreaPoint int\n   242→\t\tflag_ := 0\n   243→\n   244→\t\t// Find the point in current bucket that forms the largest triangle\n   245→\t\tfor ; currBucketStart < currBucketEnd; currBucketStart++ {\n   246→\t\t\tarea := calculateTriangleArea(\n   247→\t\t\t\tschema.Float(pointX), pointY,\n   248→\t\t\t\tavgPointX, avgPointY,\n   249→\t\t\t\tschema.Float(currBucketStart), data[currBucketStart],\n   250→\t\t\t)\n   251→\n   252→\t\t\tif area > maxArea || math.IsNaN(area) {\n   253→\t\t\t\tmaxArea = area\n   254→\t\t\t\tmaxAreaPoint = currBucketStart\n   255→\t\t\t}\n   256→\t\t\t// if math.IsNaN(float64(avgPointY)) {\n   257→\t\t\t// \tflag_ = 1\n   258→\t\t\t// }\n   259→\t\t}\n   260→\n   261→\t\t// Add the point with maximum area from this bucket\n   262→\t\tif flag_ == 1 {\n   263→\t\t\tnewData = append(newData, schema.NaN) // Pick this point from the bucket\n   264→\t\t} else {\n   265→\t\t\tnewData = append(newData, data[maxAreaPoint]) // Pick this point from the bucket\n   266→\t\t}\n   267→\n   268→\t\tprevMaxAreaPoint = maxAreaPoint\n   269→\n   270→\t\t// Move to the next bucket\n   271→\t\tbucketLow = bucketMiddle\n   272→\t\tbucketMiddle = bucketHigh\n   273→\t}\n   274→\n   275→\t// Always add the last point\n   276→\tnewData = append(newData, data[len(data)-1])\n   277→\n   278→\treturn newData, newFrequency, nil\n   279→}\n   280→\n   281→func SetMinimumRequiredPoints(setVal int) {\n   282→\tMinimumRequiredPoints = setVal\n   283→}\n   284→"}]},"uuid":"6fe9d8c9-e43f-42af-a339-69cf52e1e9cd","timestamp":"2026-03-19T19:46:21.202Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-lib/resampler/resampler.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-lib.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package resampler provides time-series data downsampling algorithms.\n//\n// This package implements two downsampling strategies for reducing the number\n// of data points in time-series data while preserving important characteristics:\n//\n//   - SimpleResampler: A fast, straightforward algorithm that selects every nth point\n//   - LargestTriangleThreeBucket (LTTB): A perceptually-aware algorithm that preserves\n//     visual characteristics by selecting points that maximize the area of triangles\n//     formed with neighboring points\n//\n// Both algorithms are designed to work with schema.Float data and handle NaN values\n// appropriately. They require that the new sampling frequency is a multiple of the\n// old frequency.\n//\n// References:\n//   - LTTB Algorithm: https://skemman.is/bitstream/1946/15343/3/SS_MSthesis.pdf\n//   - Implementation adapted from: https://github.com/haoel/downsampling\npackage resampler\n\nimport (\n\t\"fmt\"\n\t\"math\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// MinimumRequiredPoints is the default number of points required to trigger resampling.\n// If the data has fewer points, the original time series will be returned without resampling.\nvar MinimumRequiredPoints int = 1000\n\n// calculateTriangleArea computes the area of a triangle defined by three points.\n//\n// The area is calculated using the cross product formula:\n// Area = 0.5 * |((paX - pcX) * (pbY - paY)) - ((paX - pbX) * (pcY - paY))|\n//\n// This is used by the LTTB algorithm to determine which points preserve the\n// most visual information when downsampling.\nfunc calculateTriangleArea(paX, paY, pbX, pbY, pcX, pcY schema.Float) float64 {\n\tarea := ((paX-pcX)*(pbY-paY) - (paX-pbX)*(pcY-paY)) * 0.5\n\treturn math.Abs(float64(area))\n}\n\n// calculateAverageDataPoint computes the average point from a slice of data points.\n//\n// Parameters:\n//   - points: slice of Y values to average\n//   - xStart: starting X coordinate for the points\n//\n// Returns:\n//   - avgX: average X coordinate\n//   - avgY: average Y value, or NaN if any input point is NaN\n//\n// This function is used by LTTB to find the centroid of points in a bucket,\n// which is then used to calculate triangle areas for point selection.\nfunc calculateAverageDataPoint(points []schema.Float, xStart int64) (avgX schema.Float, avgY schema.Float) {\n\thasNaN := false\n\tfor _, point := range points {\n\t\tavgX += schema.Float(xStart)\n\t\tavgY += point\n\t\txStart++\n\t\tif math.IsNaN(float64(point)) {\n\t\t\thasNaN = true\n\t\t}\n\t}\n\n\tl := schema.Float(len(points))\n\tavgX /= l\n\tavgY /= l\n\n\tif hasNaN {\n\t\treturn avgX, schema.NaN\n\t}\n\treturn avgX, avgY\n}\n\n// SimpleResampler performs simple downsampling by selecting every nth point.\n//\n// This is the fastest downsampling method but may miss important features in the data.\n// It works by calculating a step size (newFrequency / oldFrequency) and selecting\n// every step-th point from the original data.\n//\n// Parameters:\n//   - data: input time-series data points\n//   - oldFrequency: original sampling frequency (points per time unit)\n//   - newFrequency: target sampling frequency (must be a multiple of oldFrequency)\n//\n// Returns:\n//   - Downsampled data slice\n//   - Actual frequency used (may be oldFrequency if downsampling wasn't performed)\n//   - Error if newFrequency is not a multiple of oldFrequency\n//\n// The function returns the original data unchanged if:\n//   - Either frequency is 0\n//   - newFrequency <= oldFrequency (no downsampling needed)\n//   - The resulting data would have fewer than 1 point\n//   - The original data has fewer than 100 points\n//   - The downsampled data would have the same or more points than the original\n//\n// Example:\n//\n//\tdata := []schema.Float{1.0, 2.0, 3.0, 4.0, 5.0, 6.0}\n//\tdownsampled, freq, err := SimpleResampler(data, 1, 2)\n//\t// Returns: [1.0, 3.0, 5.0], 2, nil\nfunc SimpleResampler(data []schema.Float, oldFrequency int64, newFrequency int64) ([]schema.Float, int64, error) {\n\t// checks if the frequencies are valid or not.\n\tnewDataLength, step, err := validateFrequency(len(data), oldFrequency, newFrequency)\n\tif err != nil {\n\t\treturn nil, 0, err\n\t}\n\tif newDataLength == -1 {\n\t\treturn data, oldFrequency, nil\n\t}\n\n\tnewData := make([]schema.Float, newDataLength)\n\tfor i := range newDataLength {\n\t\tnewData[i] = data[i*step]\n\t}\n\n\treturn newData, newFrequency, nil\n}\n\nfunc validateFrequency(lenData int, oldFrequency, newFrequency int64) (int, int, error) {\n\t// Validate inputs and check if downsampling is needed\n\tif oldFrequency == 0 || newFrequency == 0 || newFrequency <= oldFrequency {\n\t\treturn -1, 0, nil\n\t}\n\n\t// Ensure new frequency is a multiple of old frequency\n\tif newFrequency%oldFrequency != 0 {\n\t\treturn -1, 0, fmt.Errorf(\"new sampling frequency (%d) must be a multiple of old frequency (%d)\", newFrequency, oldFrequency)\n\t}\n\n\tstep := int(newFrequency / oldFrequency)\n\tnewDataLength := lenData / step\n\n\t// Don't downsample if result would be trivial or counterproductive\n\tif (newDataLength == 0) || (lenData < MinimumRequiredPoints) || (newDataLength >= lenData) {\n\t\treturn -1, 0, nil\n\t}\n\n\treturn newDataLength, step, nil\n}\n\n// LargestTriangleThreeBucket (LTTB) performs perceptually-aware downsampling.\n//\n// LTTB is a downsampling algorithm that preserves the visual characteristics of\n// time-series data by selecting points that form the largest triangles with their\n// neighbors. This ensures that important peaks, valleys, and trends are retained\n// even when significantly reducing the number of points.\n//\n// Algorithm Overview:\n//  1. The data is divided into buckets (except first and last points which are always kept)\n//  2. For each bucket, the algorithm selects the point that forms the largest triangle\n//     with the previous selected point and the average of the next bucket\n//  3. This maximizes the visual area and preserves important features\n//\n// Time Complexity: O(n) where n is the number of input points\n// Space Complexity: O(m) where m is the number of output points\n//\n// Parameters:\n//   - data: input time-series data points\n//   - oldFrequency: original sampling frequency (points per time unit)\n//   - newFrequency: target sampling frequency (must be a multiple of oldFrequency)\n//\n// Returns:\n//   - Downsampled data slice\n//   - Actual frequency used (may be oldFrequency if downsampling wasn't performed)\n//   - Error if newFrequency is not a multiple of oldFrequency\n//\n// The function returns the original data unchanged if:\n//   - Either frequency is 0\n//   - newFrequency <= oldFrequency (no downsampling needed)\n//   - The resulting data would have fewer than 1 point\n//   - The original data has fewer than 100 points\n//   - The downsampled data would have the same or more points than the original\n//\n// NaN Handling:\n// The algorithm properly handles NaN values and preserves them in the output when\n// they represent the maximum area point in a bucket.\n//\n// Example:\n//\n//\tdata := []schema.Float{1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0}\n//\tdownsampled, freq, err := LargestTriangleThreeBucket(data, 1, 2)\n//\t// Returns downsampled data preserving visual characteristics\n//\n// References:\n//   - Original paper: https://skemman.is/bitstream/1946/15343/3/SS_MSthesis.pdf\n//   - Adapted from: https://github.com/haoel/downsampling/blob/master/core/lttb.go\nfunc LargestTriangleThreeBucket(data []schema.Float, oldFrequency int64, newFrequency int64) ([]schema.Float, int64, error) {\n\t// checks if the frequencies are valid or not.\n\tnewDataLength, _, err := validateFrequency(len(data), oldFrequency, newFrequency)\n\tif err != nil {\n\t\treturn nil, 0, err\n\t}\n\tif newDataLength == -1 {\n\t\treturn data, oldFrequency, nil\n\t}\n\n\tnewData := make([]schema.Float, 0, newDataLength)\n\n\t// Bucket size. Leave room for start and end data points\n\tbucketSize := float64(len(data)-2) / float64(newDataLength-2)\n\n\t// Always add the first point\n\tnewData = append(newData, data[0])\n\n\t// Bucket pointers:\n\t// - bucketLow: current bucket's start\n\t// - bucketMiddle: current bucket's end (also next bucket's start)\n\t// - bucketHigh: next bucket's end\n\tbucketLow := 1\n\tbucketMiddle := int(math.Floor(bucketSize)) + 1\n\n\tvar prevMaxAreaPoint int\n\n\t// Process each bucket (excluding first and last points)\n\tfor i := 0; i < newDataLength-2; i++ {\n\t\tbucketHigh := int(math.Floor(float64(i+2)*bucketSize)) + 1\n\t\tif bucketHigh >= len(data)-1 {\n\t\t\tbucketHigh = len(data) - 2\n\t\t}\n\n\t\t// Calculate average point for next bucket (point c in triangle)\n\t\tavgPointX, avgPointY := calculateAverageDataPoint(data[bucketMiddle:bucketHigh+1], int64(bucketMiddle))\n\n\t\t// Get the range for current bucket\n\t\tcurrBucketStart := bucketLow\n\t\tcurrBucketEnd := bucketMiddle\n\n\t\t// Point a (previously selected point)\n\t\tpointX := prevMaxAreaPoint\n\t\tpointY := data[prevMaxAreaPoint]\n\n\t\tmaxArea := -1.0\n\t\tvar maxAreaPoint int\n\t\tflag_ := 0\n\n\t\t// Find the point in current bucket that forms the largest triangle\n\t\tfor ; currBucketStart < currBucketEnd; currBucketStart++ {\n\t\t\tarea := calculateTriangleArea(\n\t\t\t\tschema.Float(pointX), pointY,\n\t\t\t\tavgPointX, avgPointY,\n\t\t\t\tschema.Float(currBucketStart), data[currBucketStart],\n\t\t\t)\n\n\t\t\tif area > maxArea || math.IsNaN(area) {\n\t\t\t\tmaxArea = area\n\t\t\t\tmaxAreaPoint = currBucketStart\n\t\t\t}\n\t\t\t// if math.IsNaN(float64(avgPointY)) {\n\t\t\t// \tflag_ = 1\n\t\t\t// }\n\t\t}\n\n\t\t// Add the point with maximum area from this bucket\n\t\tif flag_ == 1 {\n\t\t\tnewData = append(newData, schema.NaN) // Pick this point from the bucket\n\t\t} else {\n\t\t\tnewData = append(newData, data[maxAreaPoint]) // Pick this point from the bucket\n\t\t}\n\n\t\tprevMaxAreaPoint = maxAreaPoint\n\n\t\t// Move to the next bucket\n\t\tbucketLow = bucketMiddle\n\t\tbucketMiddle = bucketHigh\n\t}\n\n\t// Always add the last point\n\tnewData = append(newData, data[len(data)-1])\n\n\treturn newData, newFrequency, nil\n}\n\nfunc SetMinimumRequiredPoints(setVal int) {\n\tMinimumRequiredPoints = setVal\n}\n","numLines":284,"startLine":1,"totalLines":284}},"sourceToolAssistantUUID":"1a2a8feb-692c-46b2-a514-6f2e667b818e","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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+{"parentUuid":"49c2195d-f08e-4f79-a96a-c5844f332310","isSidechain":false,"promptId":"1c46e1b2-ade5-44be-90d9-e93109c02833","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WXTsrsHuugmaG1ceBHvyLa","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-lib.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package resampler\n     6→\n     7→import (\n     8→\t\"math\"\n     9→\t\"testing\"\n    10→\n    11→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    12→)\n    13→\n    14→// TestCalculateTriangleArea tests the triangle area calculation helper function\n    15→func TestCalculateTriangleArea(t *testing.T) {\n    16→\ttests := []struct {\n    17→\t\tname     string\n    18→\t\tpaX, paY schema.Float\n    19→\t\tpbX, pbY schema.Float\n    20→\t\tpcX, pcY schema.Float\n    21→\t\texpected float64\n    22→\t}{\n    23→\t\t{\n    24→\t\t\tname: \"Right triangle\",\n    25→\t\t\tpaX:  0, paY: 0,\n    26→\t\t\tpbX: 0, pbY: 3,\n    27→\t\t\tpcX: 4, pcY: 0,\n    28→\t\t\texpected: 6.0,\n    29→\t\t},\n    30→\t\t{\n    31→\t\t\tname: \"Collinear points (zero area)\",\n    32→\t\t\tpaX:  0, paY: 0,\n    33→\t\t\tpbX: 1, pbY: 1,\n    34→\t\t\tpcX: 2, pcY: 2,\n    35→\t\t\texpected: 0.0,\n    36→\t\t},\n    37→\t\t{\n    38→\t\t\tname: \"Negative coordinates\",\n    39→\t\t\tpaX:  -1, paY: -1,\n    40→\t\t\tpbX: -1, pbY: 2,\n    41→\t\t\tpcX: 3, pcY: -1,\n    42→\t\t\texpected: 6.0,\n    43→\t\t},\n    44→\t}\n    45→\n    46→\tfor _, tt := range tests {\n    47→\t\tt.Run(tt.name, func(t *testing.T) {\n    48→\t\t\tresult := calculateTriangleArea(tt.paX, tt.paY, tt.pbX, tt.pbY, tt.pcX, tt.pcY)\n    49→\t\t\tif math.Abs(result-tt.expected) > 1e-10 {\n    50→\t\t\t\tt.Errorf(\"calculateTriangleArea() = %v, want %v\", result, tt.expected)\n    51→\t\t\t}\n    52→\t\t})\n    53→\t}\n    54→}\n    55→\n    56→// TestCalculateAverageDataPoint tests the average point calculation helper function\n    57→func TestCalculateAverageDataPoint(t *testing.T) {\n    58→\ttests := []struct {\n    59→\t\tname      string\n    60→\t\tpoints    []schema.Float\n    61→\t\txStart    int64\n    62→\t\texpectedX schema.Float\n    63→\t\texpectedY schema.Float\n    64→\t\texpectNaN bool\n    65→\t}{\n    66→\t\t{\n    67→\t\t\tname:      \"Simple average\",\n    68→\t\t\tpoints:    []schema.Float{1.0, 2.0, 3.0},\n    69→\t\t\txStart:    0,\n    70→\t\t\texpectedX: 1.0,\n    71→\t\t\texpectedY: 2.0,\n    72→\t\t\texpectNaN: false,\n    73→\t\t},\n    74→\t\t{\n    75→\t\t\tname:      \"Single point\",\n    76→\t\t\tpoints:    []schema.Float{5.0},\n    77→\t\t\txStart:    10,\n    78→\t\t\texpectedX: 10.0,\n    79→\t\t\texpectedY: 5.0,\n    80→\t\t\texpectNaN: false,\n    81→\t\t},\n    82→\t\t{\n    83→\t\t\tname:      \"With NaN value\",\n    84→\t\t\tpoints:    []schema.Float{1.0, schema.NaN, 3.0},\n    85→\t\t\txStart:    0,\n    86→\t\t\texpectedX: 1.0,\n    87→\t\t\texpectNaN: true,\n    88→\t\t},\n    89→\t\t{\n    90→\t\t\tname:      \"All NaN values\",\n    91→\t\t\tpoints:    []schema.Float{schema.NaN, schema.NaN},\n    92→\t\t\txStart:    0,\n    93→\t\t\texpectedX: 0.5,\n    94→\t\t\texpectNaN: true,\n    95→\t\t},\n    96→\t}\n    97→\n    98→\tfor _, tt := range tests {\n    99→\t\tt.Run(tt.name, func(t *testing.T) {\n   100→\t\t\tavgX, avgY := calculateAverageDataPoint(tt.points, tt.xStart)\n   101→\t\t\tif math.Abs(float64(avgX-tt.expectedX)) > 1e-10 {\n   102→\t\t\t\tt.Errorf(\"calculateAverageDataPoint() avgX = %v, want %v\", avgX, tt.expectedX)\n   103→\t\t\t}\n   104→\t\t\tif tt.expectNaN {\n   105→\t\t\t\tif !math.IsNaN(float64(avgY)) {\n   106→\t\t\t\t\tt.Errorf(\"calculateAverageDataPoint() avgY should be NaN, got %v\", avgY)\n   107→\t\t\t\t}\n   108→\t\t\t} else {\n   109→\t\t\t\tif math.Abs(float64(avgY-tt.expectedY)) > 1e-10 {\n   110→\t\t\t\t\tt.Errorf(\"calculateAverageDataPoint() avgY = %v, want %v\", avgY, tt.expectedY)\n   111→\t\t\t\t}\n   112→\t\t\t}\n   113→\t\t})\n   114→\t}\n   115→}\n   116→\n   117→// TestSimpleResampler tests the SimpleResampler function\n   118→func TestSimpleResampler(t *testing.T) {\n   119→\t// Set minimum required points to 100 for testing\n   120→\tSetMinimumRequiredPoints(100)\n   121→\tdefer SetMinimumRequiredPoints(1000) // Restore default after test\n   122→\n   123→\ttests := []struct {\n   124→\t\tname         string\n   125→\t\tdata         []schema.Float\n   126→\t\toldFrequency int64\n   127→\t\tnewFrequency int64\n   128→\t\texpectedLen  int\n   129→\t\texpectedFreq int64\n   130→\t\texpectError  bool\n   131→\t\tcheckValues  bool\n   132→\t\texpectedData []schema.Float\n   133→\t}{\n   134→\t\t{\n   135→\t\t\tname:         \"Normal downsampling\",\n   136→\t\t\tdata:         makeTestData(200, 1.0),\n   137→\t\t\toldFrequency: 1,\n   138→\t\t\tnewFrequency: 2,\n   139→\t\t\texpectedLen:  100,\n   140→\t\t\texpectedFreq: 2,\n   141→\t\t\texpectError:  false,\n   142→\t\t},\n   143→\t\t{\n   144→\t\t\tname:         \"No downsampling needed (new <= old)\",\n   145→\t\t\tdata:         makeTestData(200, 1.0),\n   146→\t\t\toldFrequency: 2,\n   147→\t\t\tnewFrequency: 1,\n   148→\t\t\texpectedLen:  200,\n   149→\t\t\texpectedFreq: 2,\n   150→\t\t\texpectError:  false,\n   151→\t\t},\n   152→\t\t{\n   153→\t\t\tname:         \"Zero old frequency\",\n   154→\t\t\tdata:         makeTestData(200, 1.0),\n   155→\t\t\toldFrequency: 0,\n   156→\t\t\tnewFrequency: 2,\n   157→\t\t\texpectedLen:  200,\n   158→\t\t\texpectedFreq: 0,\n   159→\t\t\texpectError:  false,\n   160→\t\t},\n   161→\t\t{\n   162→\t\t\tname:         \"Zero new frequency\",\n   163→\t\t\tdata:         makeTestData(200, 1.0),\n   164→\t\t\toldFrequency: 1,\n   165→\t\t\tnewFrequency: 0,\n   166→\t\t\texpectedLen:  200,\n   167→\t\t\texpectedFreq: 1,\n   168→\t\t\texpectError:  false,\n   169→\t\t},\n   170→\t\t{\n   171→\t\t\tname:         \"Non-multiple frequency\",\n   172→\t\t\tdata:         makeTestData(200, 1.0),\n   173→\t\t\toldFrequency: 3,\n   174→\t\t\tnewFrequency: 7,\n   175→\t\t\texpectError:  true,\n   176→\t\t},\n   177→\t\t{\n   178→\t\t\tname:         \"Small dataset (< 100 points)\",\n   179→\t\t\tdata:         makeTestData(50, 1.0),\n   180→\t\t\toldFrequency: 1,\n   181→\t\t\tnewFrequency: 2,\n   182→\t\t\texpectedLen:  50,\n   183→\t\t\texpectedFreq: 1,\n   184→\t\t\texpectError:  false,\n   185→\t\t},\n   186→\t\t{\n   187→\t\t\tname:         \"Exact values check\",\n   188→\t\t\tdata:         []schema.Float{1, 2, 3, 4, 5, 6, 7, 8, 9, 10},\n   189→\t\t\toldFrequency: 1,\n   190→\t\t\tnewFrequency: 2,\n   191→\t\t\texpectedLen:  10,\n   192→\t\t\texpectedFreq: 1,\n   193→\t\t\texpectError:  false,\n   194→\t\t\tcheckValues:  false, // Too small, won't downsample\n   195→\t\t},\n   196→\t\t{\n   197→\t\t\tname:         \"Large downsampling factor\",\n   198→\t\t\tdata:         makeTestData(1000, 1.0),\n   199→\t\t\toldFrequency: 1,\n   200→\t\t\tnewFrequency: 10,\n   201→\t\t\texpectedLen:  100,\n   202→\t\t\texpectedFreq: 10,\n   203→\t\t\texpectError:  false,\n   204→\t\t},\n   205→\t}\n   206→\n   207→\tfor _, tt := range tests {\n   208→\t\tt.Run(tt.name, func(t *testing.T) {\n   209→\t\t\tresult, freq, err := SimpleResampler(tt.data, tt.oldFrequency, tt.newFrequency)\n   210→\n   211→\t\t\tif tt.expectError {\n   212→\t\t\t\tif err == nil {\n   213→\t\t\t\t\tt.Errorf(\"SimpleResampler() expected error, got nil\")\n   214→\t\t\t\t}\n   215→\t\t\t\treturn\n   216→\t\t\t}\n   217→\n   218→\t\t\tif err != nil {\n   219→\t\t\t\tt.Errorf(\"SimpleResampler() unexpected error: %v\", err)\n   220→\t\t\t\treturn\n   221→\t\t\t}\n   222→\n   223→\t\t\tif len(result) != tt.expectedLen {\n   224→\t\t\t\tt.Errorf(\"SimpleResampler() result length = %v, want %v\", len(result), tt.expectedLen)\n   225→\t\t\t}\n   226→\n   227→\t\t\tif freq != tt.expectedFreq {\n   228→\t\t\t\tt.Errorf(\"SimpleResampler() frequency = %v, want %v\", freq, tt.expectedFreq)\n   229→\t\t\t}\n   230→\n   231→\t\t\tif tt.checkValues && tt.expectedData != nil {\n   232→\t\t\t\tfor i := range result {\n   233→\t\t\t\t\tif result[i] != tt.expectedData[i] {\n   234→\t\t\t\t\t\tt.Errorf(\"SimpleResampler() result[%d] = %v, want %v\", i, result[i], tt.expectedData[i])\n   235→\t\t\t\t\t}\n   236→\t\t\t\t}\n   237→\t\t\t}\n   238→\t\t})\n   239→\t}\n   240→}\n   241→\n   242→// TestLargestTriangleThreeBucket tests the LTTB algorithm\n   243→func TestLargestTriangleThreeBucket(t *testing.T) {\n   244→\t// Set minimum required points to 100 for testing\n   245→\tSetMinimumRequiredPoints(100)\n   246→\tdefer SetMinimumRequiredPoints(1000) // Restore default after test\n   247→\n   248→\ttests := []struct {\n   249→\t\tname         string\n   250→\t\tdata         []schema.Float\n   251→\t\toldFrequency int64\n   252→\t\tnewFrequency int64\n   253→\t\texpectedLen  int\n   254→\t\texpectedFreq int64\n   255→\t\texpectError  bool\n   256→\t}{\n   257→\t\t{\n   258→\t\t\tname:         \"Normal downsampling\",\n   259→\t\t\tdata:         makeTestData(200, 1.0),\n   260→\t\t\toldFrequency: 1,\n   261→\t\t\tnewFrequency: 2,\n   262→\t\t\texpectedLen:  100,\n   263→\t\t\texpectedFreq: 2,\n   264→\t\t\texpectError:  false,\n   265→\t\t},\n   266→\t\t{\n   267→\t\t\tname:         \"Sine wave pattern\",\n   268→\t\t\tdata:         makeSineWave(500, 10),\n   269→\t\t\toldFrequency: 1,\n   270→\t\t\tnewFrequency: 5,\n   271→\t\t\texpectedLen:  100,\n   272→\t\t\texpectedFreq: 5,\n   273→\t\t\texpectError:  false,\n   274→\t\t},\n   275→\t\t{\n   276→\t\t\tname:         \"No downsampling needed (new <= old)\",\n   277→\t\t\tdata:         makeTestData(200, 1.0),\n   278→\t\t\toldFrequency: 2,\n   279→\t\t\tnewFrequency: 1,\n   280→\t\t\texpectedLen:  200,\n   281→\t\t\texpectedFreq: 2,\n   282→\t\t\texpectError:  false,\n   283→\t\t},\n   284→\t\t{\n   285→\t\t\tname:         \"Zero old frequency\",\n   286→\t\t\tdata:         makeTestData(200, 1.0),\n   287→\t\t\toldFrequency: 0,\n   288→\t\t\tnewFrequency: 2,\n   289→\t\t\texpectedLen:  200,\n   290→\t\t\texpectedFreq: 0,\n   291→\t\t\texpectError:  false,\n   292→\t\t},\n   293→\t\t{\n   294→\t\t\tname:         \"Zero new frequency\",\n   295→\t\t\tdata:         makeTestData(200, 1.0),\n   296→\t\t\toldFrequency: 1,\n   297→\t\t\tnewFrequency: 0,\n   298→\t\t\texpectedLen:  200,\n   299→\t\t\texpectedFreq: 1,\n   300→\t\t\texpectError:  false,\n   301→\t\t},\n   302→\t\t{\n   303→\t\t\tname:         \"Non-multiple frequency\",\n   304→\t\t\tdata:         makeTestData(200, 1.0),\n   305→\t\t\toldFrequency: 3,\n   306→\t\t\tnewFrequency: 7,\n   307→\t\t\texpectError:  true,\n   308→\t\t},\n   309→\t\t{\n   310→\t\t\tname:         \"Small dataset (< 100 points)\",\n   311→\t\t\tdata:         makeTestData(50, 1.0),\n   312→\t\t\toldFrequency: 1,\n   313→\t\t\tnewFrequency: 2,\n   314→\t\t\texpectedLen:  50,\n   315→\t\t\texpectedFreq: 1,\n   316→\t\t\texpectError:  false,\n   317→\t\t},\n   318→\t\t{\n   319→\t\t\tname:         \"With NaN values\",\n   320→\t\t\tdata:         makeTestDataWithNaN(200),\n   321→\t\t\toldFrequency: 1,\n   322→\t\t\tnewFrequency: 2,\n   323→\t\t\texpectedLen:  100,\n   324→\t\t\texpectedFreq: 2,\n   325→\t\t\texpectError:  false,\n   326→\t\t},\n   327→\t\t{\n   328→\t\t\tname:         \"Large downsampling factor\",\n   329→\t\t\tdata:         makeTestData(1000, 1.0),\n   330→\t\t\toldFrequency: 1,\n   331→\t\t\tnewFrequency: 10,\n   332→\t\t\texpectedLen:  100,\n   333→\t\t\texpectedFreq: 10,\n   334→\t\t\texpectError:  false,\n   335→\t\t},\n   336→\t}\n   337→\n   338→\tfor _, tt := range tests {\n   339→\t\tt.Run(tt.name, func(t *testing.T) {\n   340→\t\t\tresult, freq, err := LargestTriangleThreeBucket(tt.data, tt.oldFrequency, tt.newFrequency)\n   341→\n   342→\t\t\tif tt.expectError {\n   343→\t\t\t\tif err == nil {\n   344→\t\t\t\t\tt.Errorf(\"LargestTriangleThreeBucket() expected error, got nil\")\n   345→\t\t\t\t}\n   346→\t\t\t\treturn\n   347→\t\t\t}\n   348→\n   349→\t\t\tif err != nil {\n   350→\t\t\t\tt.Errorf(\"LargestTriangleThreeBucket() unexpected error: %v\", err)\n   351→\t\t\t\treturn\n   352→\t\t\t}\n   353→\n   354→\t\t\tif len(result) != tt.expectedLen {\n   355→\t\t\t\tt.Errorf(\"LargestTriangleThreeBucket() result length = %v, want %v\", len(result), tt.expectedLen)\n   356→\t\t\t}\n   357→\n   358→\t\t\tif freq != tt.expectedFreq {\n   359→\t\t\t\tt.Errorf(\"LargestTriangleThreeBucket() frequency = %v, want %v\", freq, tt.expectedFreq)\n   360→\t\t\t}\n   361→\n   362→\t\t\t// Verify first and last points are preserved\n   363→\t\t\tif len(result) > 0 && len(tt.data) > 0 {\n   364→\t\t\t\t// Handle NaN comparison specially since NaN != NaN\n   365→\t\t\t\tif math.IsNaN(float64(tt.data[0])) {\n   366→\t\t\t\t\tif !math.IsNaN(float64(result[0])) {\n   367→\t\t\t\t\t\tt.Errorf(\"LargestTriangleThreeBucket() first point not preserved: got %v, want NaN\", result[0])\n   368→\t\t\t\t\t}\n   369→\t\t\t\t} else if result[0] != tt.data[0] {\n   370→\t\t\t\t\tt.Errorf(\"LargestTriangleThreeBucket() first point not preserved: got %v, want %v\", result[0], tt.data[0])\n   371→\t\t\t\t}\n   372→\n   373→\t\t\t\tif math.IsNaN(float64(tt.data[len(tt.data)-1])) {\n   374→\t\t\t\t\tif !math.IsNaN(float64(result[len(result)-1])) {\n   375→\t\t\t\t\t\tt.Errorf(\"LargestTriangleThreeBucket() last point not preserved: got %v, want NaN\", result[len(result)-1])\n   376→\t\t\t\t\t}\n   377→\t\t\t\t} else if result[len(result)-1] != tt.data[len(tt.data)-1] {\n   378→\t\t\t\t\tt.Errorf(\"LargestTriangleThreeBucket() last point not preserved: got %v, want %v\", result[len(result)-1], tt.data[len(tt.data)-1])\n   379→\t\t\t\t}\n   380→\t\t\t}\n   381→\t\t})\n   382→\t}\n   383→}\n   384→\n   385→// TestLTTBPreservesFeatures tests that LTTB preserves important features better than simple resampling\n   386→func TestLTTBPreservesFeatures(t *testing.T) {\n   387→\t// Set minimum required points to 100 for testing\n   388→\tSetMinimumRequiredPoints(100)\n   389→\tdefer SetMinimumRequiredPoints(1000) // Restore default after test\n   390→\n   391→\t// Create a dataset with a spike\n   392→\tdata := make([]schema.Float, 200)\n   393→\tfor i := range data {\n   394→\t\tif i == 100 {\n   395→\t\t\tdata[i] = 100.0 // Spike\n   396→\t\t} else {\n   397→\t\t\tdata[i] = 1.0\n   398→\t\t}\n   399→\t}\n   400→\n   401→\tlttbResult, _, _ := LargestTriangleThreeBucket(data, 1, 2)\n   402→\n   403→\t// LTTB should be more likely to preserve the spike\n   404→\tlttbHasSpike := false\n   405→\n   406→\tfor _, v := range lttbResult {\n   407→\t\tif v > 50.0 {\n   408→\t\t\tlttbHasSpike = true\n   409→\t\t\tbreak\n   410→\t\t}\n   411→\t}\n   412→\n   413→\t// This test is probabilistic, but LTTB should generally preserve the spike\n   414→\tif !lttbHasSpike {\n   415→\t\tt.Log(\"Warning: LTTB did not preserve spike (may happen occasionally)\")\n   416→\t}\n   417→}\n   418→\n   419→// Helper functions for test data generation\n   420→\n   421→// makeTestData creates a simple linear test dataset\n   422→func makeTestData(size int, increment schema.Float) []schema.Float {\n   423→\tdata := make([]schema.Float, size)\n   424→\tfor i := range data {\n   425→\t\tdata[i] = schema.Float(i) * increment\n   426→\t}\n   427→\treturn data\n   428→}\n   429→\n   430→// makeSineWave creates a sine wave test dataset\n   431→func makeSineWave(size int, periods float64) []schema.Float {\n   432→\tdata := make([]schema.Float, size)\n   433→\tfor i := range data {\n   434→\t\tangle := 2 * math.Pi * periods * float64(i) / float64(size)\n   435→\t\tdata[i] = schema.Float(math.Sin(angle))\n   436→\t}\n   437→\treturn data\n   438→}\n   439→\n   440→// makeTestDataWithNaN creates test data with some NaN values\n   441→func makeTestDataWithNaN(size int) []schema.Float {\n   442→\tdata := make([]schema.Float, size)\n   443→\tfor i := range data {\n   444→\t\tif i%20 == 0 {\n   445→\t\t\tdata[i] = schema.NaN\n   446→\t\t} else {\n   447→\t\t\tdata[i] = schema.Float(i)\n   448→\t\t}\n   449→\t}\n   450→\treturn data\n   451→}\n   452→\n   453→// Benchmark tests\n   454→\n   455→func BenchmarkSimpleResampler(b *testing.B) {\n   456→\tdata := makeTestData(10000, 1.0)\n   457→\tb.ResetTimer()\n   458→\tfor i := 0; i < b.N; i++ {\n   459→\t\t_, _, _ = SimpleResampler(data, 1, 10)\n   460→\t}\n   461→}\n   462→\n   463→func BenchmarkLargestTriangleThreeBucket(b *testing.B) {\n   464→\tdata := makeTestData(10000, 1.0)\n   465→\tb.ResetTimer()\n   466→\tfor i := 0; i < b.N; i++ {\n   467→\t\t_, _, _ = LargestTriangleThreeBucket(data, 1, 10)\n   468→\t}\n   469→}\n   470→\n   471→func BenchmarkLTTBLargeDataset(b *testing.B) {\n   472→\tdata := makeTestData(100000, 1.0)\n   473→\tb.ResetTimer()\n   474→\tfor i := 0; i < b.N; i++ {\n   475→\t\t_, _, _ = LargestTriangleThreeBucket(data, 1, 100)\n   476→\t}\n   477→}\n   478→"}]},"uuid":"098cc8c4-7772-423a-ba9b-120dae0264af","timestamp":"2026-03-19T19:46:21.603Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-lib/resampler/resampler_test.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-lib.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage resampler\n\nimport (\n\t\"math\"\n\t\"testing\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// TestCalculateTriangleArea tests the triangle area calculation helper function\nfunc TestCalculateTriangleArea(t *testing.T) {\n\ttests := []struct {\n\t\tname     string\n\t\tpaX, paY schema.Float\n\t\tpbX, pbY schema.Float\n\t\tpcX, pcY schema.Float\n\t\texpected float64\n\t}{\n\t\t{\n\t\t\tname: \"Right triangle\",\n\t\t\tpaX:  0, paY: 0,\n\t\t\tpbX: 0, pbY: 3,\n\t\t\tpcX: 4, pcY: 0,\n\t\t\texpected: 6.0,\n\t\t},\n\t\t{\n\t\t\tname: \"Collinear points (zero area)\",\n\t\t\tpaX:  0, paY: 0,\n\t\t\tpbX: 1, pbY: 1,\n\t\t\tpcX: 2, pcY: 2,\n\t\t\texpected: 0.0,\n\t\t},\n\t\t{\n\t\t\tname: \"Negative coordinates\",\n\t\t\tpaX:  -1, paY: -1,\n\t\t\tpbX: -1, pbY: 2,\n\t\t\tpcX: 3, pcY: -1,\n\t\t\texpected: 6.0,\n\t\t},\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(tt.name, func(t *testing.T) {\n\t\t\tresult := calculateTriangleArea(tt.paX, tt.paY, tt.pbX, tt.pbY, tt.pcX, tt.pcY)\n\t\t\tif math.Abs(result-tt.expected) > 1e-10 {\n\t\t\t\tt.Errorf(\"calculateTriangleArea() = %v, want %v\", result, tt.expected)\n\t\t\t}\n\t\t})\n\t}\n}\n\n// TestCalculateAverageDataPoint tests the average point calculation helper function\nfunc TestCalculateAverageDataPoint(t *testing.T) {\n\ttests := []struct {\n\t\tname      string\n\t\tpoints    []schema.Float\n\t\txStart    int64\n\t\texpectedX schema.Float\n\t\texpectedY schema.Float\n\t\texpectNaN bool\n\t}{\n\t\t{\n\t\t\tname:      \"Simple average\",\n\t\t\tpoints:    []schema.Float{1.0, 2.0, 3.0},\n\t\t\txStart:    0,\n\t\t\texpectedX: 1.0,\n\t\t\texpectedY: 2.0,\n\t\t\texpectNaN: false,\n\t\t},\n\t\t{\n\t\t\tname:      \"Single point\",\n\t\t\tpoints:    []schema.Float{5.0},\n\t\t\txStart:    10,\n\t\t\texpectedX: 10.0,\n\t\t\texpectedY: 5.0,\n\t\t\texpectNaN: false,\n\t\t},\n\t\t{\n\t\t\tname:      \"With NaN value\",\n\t\t\tpoints:    []schema.Float{1.0, schema.NaN, 3.0},\n\t\t\txStart:    0,\n\t\t\texpectedX: 1.0,\n\t\t\texpectNaN: true,\n\t\t},\n\t\t{\n\t\t\tname:      \"All NaN values\",\n\t\t\tpoints:    []schema.Float{schema.NaN, schema.NaN},\n\t\t\txStart:    0,\n\t\t\texpectedX: 0.5,\n\t\t\texpectNaN: true,\n\t\t},\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(tt.name, func(t *testing.T) {\n\t\t\tavgX, avgY := calculateAverageDataPoint(tt.points, tt.xStart)\n\t\t\tif math.Abs(float64(avgX-tt.expectedX)) > 1e-10 {\n\t\t\t\tt.Errorf(\"calculateAverageDataPoint() avgX = %v, want %v\", avgX, tt.expectedX)\n\t\t\t}\n\t\t\tif tt.expectNaN {\n\t\t\t\tif !math.IsNaN(float64(avgY)) {\n\t\t\t\t\tt.Errorf(\"calculateAverageDataPoint() avgY should be NaN, got %v\", avgY)\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tif math.Abs(float64(avgY-tt.expectedY)) > 1e-10 {\n\t\t\t\t\tt.Errorf(\"calculateAverageDataPoint() avgY = %v, want %v\", avgY, tt.expectedY)\n\t\t\t\t}\n\t\t\t}\n\t\t})\n\t}\n}\n\n// TestSimpleResampler tests the SimpleResampler function\nfunc TestSimpleResampler(t *testing.T) {\n\t// Set minimum required points to 100 for testing\n\tSetMinimumRequiredPoints(100)\n\tdefer SetMinimumRequiredPoints(1000) // Restore default after test\n\n\ttests := []struct {\n\t\tname         string\n\t\tdata         []schema.Float\n\t\toldFrequency int64\n\t\tnewFrequency int64\n\t\texpectedLen  int\n\t\texpectedFreq int64\n\t\texpectError  bool\n\t\tcheckValues  bool\n\t\texpectedData []schema.Float\n\t}{\n\t\t{\n\t\t\tname:         \"Normal downsampling\",\n\t\t\tdata:         makeTestData(200, 1.0),\n\t\t\toldFrequency: 1,\n\t\t\tnewFrequency: 2,\n\t\t\texpectedLen:  100,\n\t\t\texpectedFreq: 2,\n\t\t\texpectError:  false,\n\t\t},\n\t\t{\n\t\t\tname:         \"No downsampling needed (new <= old)\",\n\t\t\tdata:         makeTestData(200, 1.0),\n\t\t\toldFrequency: 2,\n\t\t\tnewFrequency: 1,\n\t\t\texpectedLen:  200,\n\t\t\texpectedFreq: 2,\n\t\t\texpectError:  false,\n\t\t},\n\t\t{\n\t\t\tname:         \"Zero old frequency\",\n\t\t\tdata:         makeTestData(200, 1.0),\n\t\t\toldFrequency: 0,\n\t\t\tnewFrequency: 2,\n\t\t\texpectedLen:  200,\n\t\t\texpectedFreq: 0,\n\t\t\texpectError:  false,\n\t\t},\n\t\t{\n\t\t\tname:         \"Zero new frequency\",\n\t\t\tdata:         makeTestData(200, 1.0),\n\t\t\toldFrequency: 1,\n\t\t\tnewFrequency: 0,\n\t\t\texpectedLen:  200,\n\t\t\texpectedFreq: 1,\n\t\t\texpectError:  false,\n\t\t},\n\t\t{\n\t\t\tname:         \"Non-multiple frequency\",\n\t\t\tdata:         makeTestData(200, 1.0),\n\t\t\toldFrequency: 3,\n\t\t\tnewFrequency: 7,\n\t\t\texpectError:  true,\n\t\t},\n\t\t{\n\t\t\tname:         \"Small dataset (< 100 points)\",\n\t\t\tdata:         makeTestData(50, 1.0),\n\t\t\toldFrequency: 1,\n\t\t\tnewFrequency: 2,\n\t\t\texpectedLen:  50,\n\t\t\texpectedFreq: 1,\n\t\t\texpectError:  false,\n\t\t},\n\t\t{\n\t\t\tname:         \"Exact values check\",\n\t\t\tdata:         []schema.Float{1, 2, 3, 4, 5, 6, 7, 8, 9, 10},\n\t\t\toldFrequency: 1,\n\t\t\tnewFrequency: 2,\n\t\t\texpectedLen:  10,\n\t\t\texpectedFreq: 1,\n\t\t\texpectError:  false,\n\t\t\tcheckValues:  false, // Too small, won't downsample\n\t\t},\n\t\t{\n\t\t\tname:         \"Large downsampling factor\",\n\t\t\tdata:         makeTestData(1000, 1.0),\n\t\t\toldFrequency: 1,\n\t\t\tnewFrequency: 10,\n\t\t\texpectedLen:  100,\n\t\t\texpectedFreq: 10,\n\t\t\texpectError:  false,\n\t\t},\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(tt.name, func(t *testing.T) {\n\t\t\tresult, freq, err := SimpleResampler(tt.data, tt.oldFrequency, tt.newFrequency)\n\n\t\t\tif tt.expectError {\n\t\t\t\tif err == nil {\n\t\t\t\t\tt.Errorf(\"SimpleResampler() expected error, got nil\")\n\t\t\t\t}\n\t\t\t\treturn\n\t\t\t}\n\n\t\t\tif err != nil {\n\t\t\t\tt.Errorf(\"SimpleResampler() unexpected error: %v\", err)\n\t\t\t\treturn\n\t\t\t}\n\n\t\t\tif len(result) != tt.expectedLen {\n\t\t\t\tt.Errorf(\"SimpleResampler() result length = %v, want %v\", len(result), tt.expectedLen)\n\t\t\t}\n\n\t\t\tif freq != tt.expectedFreq {\n\t\t\t\tt.Errorf(\"SimpleResampler() frequency = %v, want %v\", freq, tt.expectedFreq)\n\t\t\t}\n\n\t\t\tif tt.checkValues && tt.expectedData != nil {\n\t\t\t\tfor i := range result {\n\t\t\t\t\tif result[i] != tt.expectedData[i] {\n\t\t\t\t\t\tt.Errorf(\"SimpleResampler() result[%d] = %v, want %v\", i, result[i], tt.expectedData[i])\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t})\n\t}\n}\n\n// TestLargestTriangleThreeBucket tests the LTTB algorithm\nfunc TestLargestTriangleThreeBucket(t *testing.T) {\n\t// Set minimum required points to 100 for testing\n\tSetMinimumRequiredPoints(100)\n\tdefer SetMinimumRequiredPoints(1000) // Restore default after test\n\n\ttests := []struct {\n\t\tname         string\n\t\tdata         []schema.Float\n\t\toldFrequency int64\n\t\tnewFrequency int64\n\t\texpectedLen  int\n\t\texpectedFreq int64\n\t\texpectError  bool\n\t}{\n\t\t{\n\t\t\tname:         \"Normal downsampling\",\n\t\t\tdata:         makeTestData(200, 1.0),\n\t\t\toldFrequency: 1,\n\t\t\tnewFrequency: 2,\n\t\t\texpectedLen:  100,\n\t\t\texpectedFreq: 2,\n\t\t\texpectError:  false,\n\t\t},\n\t\t{\n\t\t\tname:         \"Sine wave pattern\",\n\t\t\tdata:         makeSineWave(500, 10),\n\t\t\toldFrequency: 1,\n\t\t\tnewFrequency: 5,\n\t\t\texpectedLen:  100,\n\t\t\texpectedFreq: 5,\n\t\t\texpectError:  false,\n\t\t},\n\t\t{\n\t\t\tname:         \"No downsampling needed (new <= old)\",\n\t\t\tdata:         makeTestData(200, 1.0),\n\t\t\toldFrequency: 2,\n\t\t\tnewFrequency: 1,\n\t\t\texpectedLen:  200,\n\t\t\texpectedFreq: 2,\n\t\t\texpectError:  false,\n\t\t},\n\t\t{\n\t\t\tname:         \"Zero old frequency\",\n\t\t\tdata:         makeTestData(200, 1.0),\n\t\t\toldFrequency: 0,\n\t\t\tnewFrequency: 2,\n\t\t\texpectedLen:  200,\n\t\t\texpectedFreq: 0,\n\t\t\texpectError:  false,\n\t\t},\n\t\t{\n\t\t\tname:         \"Zero new frequency\",\n\t\t\tdata:         makeTestData(200, 1.0),\n\t\t\toldFrequency: 1,\n\t\t\tnewFrequency: 0,\n\t\t\texpectedLen:  200,\n\t\t\texpectedFreq: 1,\n\t\t\texpectError:  false,\n\t\t},\n\t\t{\n\t\t\tname:         \"Non-multiple frequency\",\n\t\t\tdata:         makeTestData(200, 1.0),\n\t\t\toldFrequency: 3,\n\t\t\tnewFrequency: 7,\n\t\t\texpectError:  true,\n\t\t},\n\t\t{\n\t\t\tname:         \"Small dataset (< 100 points)\",\n\t\t\tdata:         makeTestData(50, 1.0),\n\t\t\toldFrequency: 1,\n\t\t\tnewFrequency: 2,\n\t\t\texpectedLen:  50,\n\t\t\texpectedFreq: 1,\n\t\t\texpectError:  false,\n\t\t},\n\t\t{\n\t\t\tname:         \"With NaN values\",\n\t\t\tdata:         makeTestDataWithNaN(200),\n\t\t\toldFrequency: 1,\n\t\t\tnewFrequency: 2,\n\t\t\texpectedLen:  100,\n\t\t\texpectedFreq: 2,\n\t\t\texpectError:  false,\n\t\t},\n\t\t{\n\t\t\tname:         \"Large downsampling factor\",\n\t\t\tdata:         makeTestData(1000, 1.0),\n\t\t\toldFrequency: 1,\n\t\t\tnewFrequency: 10,\n\t\t\texpectedLen:  100,\n\t\t\texpectedFreq: 10,\n\t\t\texpectError:  false,\n\t\t},\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(tt.name, func(t *testing.T) {\n\t\t\tresult, freq, err := LargestTriangleThreeBucket(tt.data, tt.oldFrequency, tt.newFrequency)\n\n\t\t\tif tt.expectError {\n\t\t\t\tif err == nil {\n\t\t\t\t\tt.Errorf(\"LargestTriangleThreeBucket() expected error, got nil\")\n\t\t\t\t}\n\t\t\t\treturn\n\t\t\t}\n\n\t\t\tif err != nil {\n\t\t\t\tt.Errorf(\"LargestTriangleThreeBucket() unexpected error: %v\", err)\n\t\t\t\treturn\n\t\t\t}\n\n\t\t\tif len(result) != tt.expectedLen {\n\t\t\t\tt.Errorf(\"LargestTriangleThreeBucket() result length = %v, want %v\", len(result), tt.expectedLen)\n\t\t\t}\n\n\t\t\tif freq != tt.expectedFreq {\n\t\t\t\tt.Errorf(\"LargestTriangleThreeBucket() frequency = %v, want %v\", freq, tt.expectedFreq)\n\t\t\t}\n\n\t\t\t// Verify first and last points are preserved\n\t\t\tif len(result) > 0 && len(tt.data) > 0 {\n\t\t\t\t// Handle NaN comparison specially since NaN != NaN\n\t\t\t\tif math.IsNaN(float64(tt.data[0])) {\n\t\t\t\t\tif !math.IsNaN(float64(result[0])) {\n\t\t\t\t\t\tt.Errorf(\"LargestTriangleThreeBucket() first point not preserved: got %v, want NaN\", result[0])\n\t\t\t\t\t}\n\t\t\t\t} else if result[0] != tt.data[0] {\n\t\t\t\t\tt.Errorf(\"LargestTriangleThreeBucket() first point not preserved: got %v, want %v\", result[0], tt.data[0])\n\t\t\t\t}\n\n\t\t\t\tif math.IsNaN(float64(tt.data[len(tt.data)-1])) {\n\t\t\t\t\tif !math.IsNaN(float64(result[len(result)-1])) {\n\t\t\t\t\t\tt.Errorf(\"LargestTriangleThreeBucket() last point not preserved: got %v, want NaN\", result[len(result)-1])\n\t\t\t\t\t}\n\t\t\t\t} else if result[len(result)-1] != tt.data[len(tt.data)-1] {\n\t\t\t\t\tt.Errorf(\"LargestTriangleThreeBucket() last point not preserved: got %v, want %v\", result[len(result)-1], tt.data[len(tt.data)-1])\n\t\t\t\t}\n\t\t\t}\n\t\t})\n\t}\n}\n\n// TestLTTBPreservesFeatures tests that LTTB preserves important features better than simple resampling\nfunc TestLTTBPreservesFeatures(t *testing.T) {\n\t// Set minimum required points to 100 for testing\n\tSetMinimumRequiredPoints(100)\n\tdefer SetMinimumRequiredPoints(1000) // Restore default after test\n\n\t// Create a dataset with a spike\n\tdata := make([]schema.Float, 200)\n\tfor i := range data {\n\t\tif i == 100 {\n\t\t\tdata[i] = 100.0 // Spike\n\t\t} else {\n\t\t\tdata[i] = 1.0\n\t\t}\n\t}\n\n\tlttbResult, _, _ := LargestTriangleThreeBucket(data, 1, 2)\n\n\t// LTTB should be more likely to preserve the spike\n\tlttbHasSpike := false\n\n\tfor _, v := range lttbResult {\n\t\tif v > 50.0 {\n\t\t\tlttbHasSpike = true\n\t\t\tbreak\n\t\t}\n\t}\n\n\t// This test is probabilistic, but LTTB should generally preserve the spike\n\tif !lttbHasSpike {\n\t\tt.Log(\"Warning: LTTB did not preserve spike (may happen occasionally)\")\n\t}\n}\n\n// Helper functions for test data generation\n\n// makeTestData creates a simple linear test dataset\nfunc makeTestData(size int, increment schema.Float) []schema.Float {\n\tdata := make([]schema.Float, size)\n\tfor i := range data {\n\t\tdata[i] = schema.Float(i) * increment\n\t}\n\treturn data\n}\n\n// makeSineWave creates a sine wave test dataset\nfunc makeSineWave(size int, periods float64) []schema.Float {\n\tdata := make([]schema.Float, size)\n\tfor i := range data {\n\t\tangle := 2 * math.Pi * periods * float64(i) / float64(size)\n\t\tdata[i] = schema.Float(math.Sin(angle))\n\t}\n\treturn data\n}\n\n// makeTestDataWithNaN creates test data with some NaN values\nfunc makeTestDataWithNaN(size int) []schema.Float {\n\tdata := make([]schema.Float, size)\n\tfor i := range data {\n\t\tif i%20 == 0 {\n\t\t\tdata[i] = schema.NaN\n\t\t} else {\n\t\t\tdata[i] = schema.Float(i)\n\t\t}\n\t}\n\treturn data\n}\n\n// Benchmark tests\n\nfunc BenchmarkSimpleResampler(b *testing.B) {\n\tdata := makeTestData(10000, 1.0)\n\tb.ResetTimer()\n\tfor i := 0; i < b.N; i++ {\n\t\t_, _, _ = SimpleResampler(data, 1, 10)\n\t}\n}\n\nfunc BenchmarkLargestTriangleThreeBucket(b *testing.B) {\n\tdata := makeTestData(10000, 1.0)\n\tb.ResetTimer()\n\tfor i := 0; i < b.N; i++ {\n\t\t_, _, _ = LargestTriangleThreeBucket(data, 1, 10)\n\t}\n}\n\nfunc BenchmarkLTTBLargeDataset(b *testing.B) {\n\tdata := makeTestData(100000, 1.0)\n\tb.ResetTimer()\n\tfor i := 0; i < b.N; i++ {\n\t\t_, _, _ = LargestTriangleThreeBucket(data, 1, 100)\n\t}\n}\n","numLines":478,"startLine":1,"totalLines":478}},"sourceToolAssistantUUID":"49c2195d-f08e-4f79-a96a-c5844f332310","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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+{"parentUuid":"e89bb510-7bd4-49f7-b0c7-e68efecf3330","isSidechain":false,"promptId":"1c46e1b2-ade5-44be-90d9-e93109c02833","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018zJcg6GZet1CQCD9nfo3nD","type":"tool_result","content":"     1→scalar Time\n     2→scalar Any\n     3→\n     4→scalar NullableFloat\n     5→scalar MetricScope\n     6→scalar JobState\n     7→scalar SchedulerState\n     8→scalar MonitoringState\n     9→\n    10→type Node {\n    11→  id: ID!\n    12→  hostname: String!\n    13→  cluster: String!\n    14→  subCluster: String!\n    15→  jobsRunning: Int!\n    16→  cpusAllocated: Int\n    17→  memoryAllocated: Int\n    18→  gpusAllocated: Int\n    19→  schedulerState: SchedulerState!\n    20→  healthState: MonitoringState!\n    21→  metaData: Any\n    22→  healthData: Any\n    23→}\n    24→\n    25→type NodeStates {\n    26→  state: String!\n    27→  count: Int!\n    28→}\n    29→\n    30→type NodeStatesTimed {\n    31→  state: String!\n    32→  counts: [Int!]!\n    33→  times: [Int!]!\n    34→}\n    35→\n    36→type Job {\n    37→  id: ID!\n    38→  jobId: Int!\n    39→  user: String!\n    40→  project: String!\n    41→  cluster: String!\n    42→  subCluster: String!\n    43→  startTime: Time!\n    44→  duration: Int!\n    45→  walltime: Int!\n    46→  numNodes: Int!\n    47→  numHWThreads: Int!\n    48→  numAcc: Int!\n    49→  energy: Float!\n    50→  SMT: Int!\n    51→  shared: String!\n    52→  partition: String!\n    53→  arrayJobId: Int!\n    54→  monitoringStatus: Int!\n    55→  state: JobState!\n    56→  tags: [Tag!]!\n    57→  resources: [Resource!]!\n    58→  concurrentJobs: JobLinkResultList\n    59→  footprint: [FootprintValue]\n    60→  energyFootprint: [EnergyFootprintValue]\n    61→  metaData: Any\n    62→  userData: User\n    63→}\n    64→\n    65→type JobLink {\n    66→  id: ID!\n    67→  jobId: Int!\n    68→}\n    69→\n    70→type Cluster {\n    71→  name: String!\n    72→  partitions: [String!]! # Slurm partitions\n    73→  subClusters: [SubCluster!]! # Hardware partitions/subclusters\n    74→}\n    75→\n    76→type SubCluster {\n    77→  name: String!\n    78→  nodes: String!\n    79→  numberOfNodes: Int!\n    80→  processorType: String!\n    81→  socketsPerNode: Int!\n    82→  coresPerSocket: Int!\n    83→  threadsPerCore: Int!\n    84→  flopRateScalar: MetricValue!\n    85→  flopRateSimd: MetricValue!\n    86→  memoryBandwidth: MetricValue!\n    87→  topology: Topology!\n    88→  metricConfig: [MetricConfig!]!\n    89→  footprint: [String!]!\n    90→}\n    91→\n    92→type FootprintValue {\n    93→  name: String!\n    94→  stat: String!\n    95→  value: Float!\n    96→}\n    97→\n    98→type EnergyFootprintValue {\n    99→  hardware: String!\n   100→  metric: String!\n   101→  value: Float!\n   102→}\n   103→\n   104→type MetricValue {\n   105→  name: String\n   106→  unit: Unit!\n   107→  value: Float!\n   108→}\n   109→\n   110→type Topology {\n   111→  node: [Int!]\n   112→  socket: [[Int!]!]\n   113→  memoryDomain: [[Int!]!]\n   114→  die: [[Int!]!]\n   115→  core: [[Int!]!]\n   116→  accelerators: [Accelerator!]\n   117→}\n   118→\n   119→type Accelerator {\n   120→  id: String!\n   121→  type: String!\n   122→  model: String!\n   123→}\n   124→\n   125→type SubClusterConfig {\n   126→  name: String!\n   127→  peak: Float\n   128→  normal: Float\n   129→  caution: Float\n   130→  alert: Float\n   131→  remove: Boolean\n   132→}\n   133→\n   134→type MetricConfig {\n   135→  name: String!\n   136→  unit: Unit!\n   137→  scope: MetricScope!\n   138→  aggregation: String!\n   139→  timestep: Int!\n   140→  peak: Float!\n   141→  normal: Float\n   142→  caution: Float!\n   143→  alert: Float!\n   144→  lowerIsBetter: Boolean\n   145→  subClusters: [SubClusterConfig!]!\n   146→}\n   147→\n   148→type Tag {\n   149→  id: ID!\n   150→  type: String!\n   151→  name: String!\n   152→  scope: String!\n   153→}\n   154→\n   155→type Resource {\n   156→  hostname: String!\n   157→  hwthreads: [Int!]\n   158→  accelerators: [String!]\n   159→  configuration: String\n   160→}\n   161→\n   162→type JobMetricWithName {\n   163→  name: String!\n   164→  scope: MetricScope!\n   165→  metric: JobMetric!\n   166→}\n   167→\n   168→type ClusterMetricWithName {\n   169→  name: String!\n   170→  unit: Unit\n   171→  timestep: Int!\n   172→  data: [NullableFloat!]!\n   173→}\n   174→\n   175→type JobMetric {\n   176→  unit: Unit\n   177→  timestep: Int!\n   178→  series: [Series!]\n   179→  statisticsSeries: StatsSeries\n   180→}\n   181→\n   182→type Series {\n   183→  hostname: String!\n   184→  id: String\n   185→  statistics: MetricStatistics\n   186→  data: [NullableFloat!]!\n   187→}\n   188→\n   189→type StatsSeries {\n   190→  mean: [NullableFloat!]!\n   191→  median: [NullableFloat!]!\n   192→  min: [NullableFloat!]!\n   193→  max: [NullableFloat!]!\n   194→}\n   195→\n   196→type NamedStatsWithScope {\n   197→  name: String!\n   198→  scope: MetricScope!\n   199→  stats: [ScopedStats!]!\n   200→}\n   201→\n   202→type ScopedStats {\n   203→  hostname: String!\n   204→  id: String\n   205→  data: MetricStatistics!\n   206→}\n   207→\n   208→type JobStats {\n   209→  id: Int!\n   210→  jobId: String!\n   211→  startTime: Int!\n   212→  duration: Int!\n   213→  cluster: String!\n   214→  subCluster: String!\n   215→  numNodes: Int!\n   216→  numHWThreads: Int\n   217→  numAccelerators: Int\n   218→  stats: [NamedStats!]!\n   219→}\n   220→\n   221→type NamedStats {\n   222→  name: String!\n   223→  data: MetricStatistics!\n   224→}\n   225→\n   226→type Unit {\n   227→  base: String!\n   228→  prefix: String\n   229→}\n   230→\n   231→type MetricStatistics {\n   232→  avg: Float!\n   233→  min: Float!\n   234→  max: Float!\n   235→}\n   236→\n   237→type MetricFootprints {\n   238→  metric: String!\n   239→  data: [NullableFloat!]!\n   240→}\n   241→\n   242→type Footprints {\n   243→  timeWeights: TimeWeights!\n   244→  metrics: [MetricFootprints!]!\n   245→}\n   246→\n   247→type TimeWeights {\n   248→  nodeHours: [NullableFloat!]!\n   249→  accHours: [NullableFloat!]!\n   250→  coreHours: [NullableFloat!]!\n   251→}\n   252→\n   253→enum Aggregate {\n   254→  USER\n   255→  PROJECT\n   256→  CLUSTER\n   257→  SUBCLUSTER\n   258→}\n   259→enum SortByAggregate {\n   260→  TOTALWALLTIME\n   261→  TOTALJOBS\n   262→  TOTALUSERS\n   263→  TOTALNODES\n   264→  TOTALNODEHOURS\n   265→  TOTALCORES\n   266→  TOTALCOREHOURS\n   267→  TOTALACCS\n   268→  TOTALACCHOURS\n   269→}\n   270→\n   271→type NodeMetrics {\n   272→  host: String!\n   273→  nodeState: String!\n   274→  metricHealth: String!\n   275→  subCluster: String!\n   276→  metrics: [JobMetricWithName!]!\n   277→}\n   278→\n   279→type ClusterMetrics {\n   280→  nodeCount: Int!\n   281→  metrics: [ClusterMetricWithName!]!\n   282→}\n   283→\n   284→type NodesResultList {\n   285→  items: [NodeMetrics!]!\n   286→  offset: Int\n   287→  limit: Int\n   288→  count: Int\n   289→  totalNodes: Int\n   290→  hasNextPage: Boolean\n   291→}\n   292→\n   293→type ClusterSupport {\n   294→  cluster: String!\n   295→  subClusters: [String!]!\n   296→}\n   297→\n   298→type GlobalMetricListItem {\n   299→  name: String!\n   300→  unit: Unit!\n   301→  scope: MetricScope!\n   302→  footprint: String\n   303→  availability: [ClusterSupport!]!\n   304→}\n   305→\n   306→type Count {\n   307→  name: String!\n   308→  count: Int!\n   309→}\n   310→\n   311→type User {\n   312→  username: String!\n   313→  name: String!\n   314→  email: String!\n   315→}\n   316→\n   317→input MetricStatItem {\n   318→  metricName: String!\n   319→  range: FloatRange!\n   320→}\n   321→\n   322→type Query {\n   323→  clusters: [Cluster!]! # List of all clusters\n   324→  tags: [Tag!]! # List of all tags\n   325→  globalMetrics: [GlobalMetricListItem!]!\n   326→\n   327→  user(username: String!): User\n   328→  allocatedNodes(cluster: String!): [Count!]!\n   329→\n   330→  ## Node Queries New\n   331→  node(id: ID!): Node\n   332→  nodes(filter: [NodeFilter!], order: OrderByInput): NodeStateResultList!\n   333→  nodesWithMeta(filter: [NodeFilter!], order: OrderByInput): NodeStateResultList!\n   334→  nodeStates(filter: [NodeFilter!]): [NodeStates!]!\n   335→  nodeStatesTimed(filter: [NodeFilter!], type: String!): [NodeStatesTimed!]!\n   336→\n   337→  job(id: ID!): Job\n   338→  jobMetrics(\n   339→    id: ID!\n   340→    metrics: [String!]\n   341→    scopes: [MetricScope!]\n   342→    resolution: Int\n   343→  ): [JobMetricWithName!]!\n   344→\n   345→  jobStats(id: ID!, metrics: [String!]): [NamedStats!]!\n   346→\n   347→  scopedJobStats(\n   348→    id: ID!\n   349→    metrics: [String!]\n   350→    scopes: [MetricScope!]\n   351→  ): [NamedStatsWithScope!]!\n   352→\n   353→  jobs(\n   354→    filter: [JobFilter!]\n   355→    page: PageRequest\n   356→    order: OrderByInput\n   357→  ): JobResultList!\n   358→\n   359→  jobsStatistics(\n   360→    filter: [JobFilter!]\n   361→    metrics: [String!]\n   362→    page: PageRequest\n   363→    sortBy: SortByAggregate\n   364→    groupBy: Aggregate\n   365→    numDurationBins: String\n   366→    numMetricBins: Int\n   367→  ): [JobsStatistics!]!\n   368→\n   369→  jobsMetricStats(filter: [JobFilter!], metrics: [String!]): [JobStats!]!\n   370→  jobsFootprints(filter: [JobFilter!], metrics: [String!]!): Footprints\n   371→\n   372→  rooflineHeatmap(\n   373→    filter: [JobFilter!]!\n   374→    rows: Int!\n   375→    cols: Int!\n   376→    minX: Float!\n   377→    minY: Float!\n   378→    maxX: Float!\n   379→    maxY: Float!\n   380→  ): [[Float!]!]!\n   381→\n   382→  nodeMetrics(\n   383→    cluster: String!\n   384→    nodes: [String!]\n   385→    scopes: [MetricScope!]\n   386→    metrics: [String!]\n   387→    from: Time!\n   388→    to: Time!\n   389→  ): [NodeMetrics!]!\n   390→\n   391→  nodeMetricsList(\n   392→    cluster: String!\n   393→    subCluster: String!\n   394→    stateFilter: String!\n   395→    nodeFilter: String!\n   396→    scopes: [MetricScope!]\n   397→    metrics: [String!]\n   398→    from: Time!\n   399→    to: Time!\n   400→    page: PageRequest\n   401→    resolution: Int\n   402→  ): NodesResultList!\n   403→\n   404→  clusterMetrics(\n   405→    cluster: String!\n   406→    metrics: [String!]\n   407→    from: Time!\n   408→    to: Time!\n   409→  ): ClusterMetrics!\n   410→}\n   411→\n   412→type Mutation {\n   413→  createTag(type: String!, name: String!, scope: String!): Tag!\n   414→  deleteTag(id: ID!): ID!\n   415→  addTagsToJob(job: ID!, tagIds: [ID!]!): [Tag!]!\n   416→  removeTagsFromJob(job: ID!, tagIds: [ID!]!): [Tag!]!\n   417→  removeTagFromList(tagIds: [ID!]!): [Int!]!\n   418→\n   419→  updateConfiguration(name: String!, value: String!): String\n   420→}\n   421→\n   422→type IntRangeOutput {\n   423→  from: Int!\n   424→  to: Int!\n   425→}\n   426→type TimeRangeOutput {\n   427→  range: String\n   428→  from: Time!\n   429→  to: Time!\n   430→}\n   431→\n   432→input NodeFilter {\n   433→  hostname: StringInput\n   434→  cluster: StringInput\n   435→  subCluster: StringInput\n   436→  schedulerState: SchedulerState\n   437→  healthState: MonitoringState\n   438→  timeStart: Int\n   439→}\n   440→\n   441→input JobFilter {\n   442→  tags: [ID!]\n   443→  dbId: [ID!]\n   444→  jobId: StringInput\n   445→  arrayJobId: Int\n   446→  user: StringInput\n   447→  project: StringInput\n   448→  jobName: StringInput\n   449→  cluster: StringInput\n   450→  subCluster: StringInput\n   451→  partition: StringInput\n   452→  duration: IntRange\n   453→  energy: FloatRange\n   454→\n   455→  numNodes: IntRange\n   456→  numAccelerators: IntRange\n   457→  numHWThreads: IntRange\n   458→\n   459→  startTime: TimeRange\n   460→  state: [JobState!]\n   461→  metricStats: [MetricStatItem!]\n   462→  shared: String\n   463→  schedule: String\n   464→  node: StringInput\n   465→}\n   466→\n   467→input OrderByInput {\n   468→  field: String!\n   469→  type: String!\n   470→  order: SortDirectionEnum! = ASC\n   471→}\n   472→\n   473→enum SortDirectionEnum {\n   474→  DESC\n   475→  ASC\n   476→}\n   477→\n   478→input StringInput {\n   479→  eq: String\n   480→  neq: String\n   481→  contains: String\n   482→  startsWith: String\n   483→  endsWith: String\n   484→  in: [String!]\n   485→}\n   486→\n   487→input IntRange {\n   488→  from: Int!\n   489→  to: Int!\n   490→}\n   491→input TimeRange {\n   492→  range: String\n   493→  from: Time\n   494→  to: Time\n   495→}\n   496→\n   497→input FloatRange {\n   498→  from: Float!\n   499→  to: Float!\n   500→}\n   501→\n   502→type NodeStateResultList {\n   503→  items: [Node!]!\n   504→  count: Int\n   505→}\n   506→\n   507→type JobResultList {\n   508→  items: [Job!]!\n   509→  offset: Int\n   510→  limit: Int\n   511→  count: Int\n   512→  hasNextPage: Boolean\n   513→}\n   514→\n   515→type JobLinkResultList {\n   516→  listQuery: String\n   517→  items: [JobLink!]!\n   518→  count: Int\n   519→}\n   520→\n   521→type HistoPoint {\n   522→  count: Int!\n   523→  value: Int!\n   524→}\n   525→\n   526→type MetricHistoPoints {\n   527→  metric: String!\n   528→  unit: String!\n   529→  stat: String\n   530→  data: [MetricHistoPoint!]\n   531→}\n   532→\n   533→type MetricHistoPoint {\n   534→  bin: Int\n   535→  count: Int!\n   536→  min: Int\n   537→  max: Int\n   538→}\n   539→\n   540→type JobsStatistics {\n   541→  id: ID! # If `groupBy` was used, ID of the user/project/cluster/subcluster\n   542→  name: String! # if User-Statistics: Given Name of Account (ID) Owner\n   543→  totalUsers: Int! # if *not* User-Statistics: Number of active users (based on running jobs)\n   544→  totalJobs: Int! # Number of jobs\n   545→  runningJobs: Int! # Number of running jobs\n   546→  shortJobs: Int! # Number of jobs with a duration of less than config'd ShortRunningJobsDuration\n   547→  totalWalltime: Int! # Sum of the duration of all matched jobs in hours\n   548→  totalNodes: Int! # Sum of the nodes of all matched jobs\n   549→  totalNodeHours: Int! # Sum of the node hours of all matched jobs\n   550→  totalCores: Int! # Sum of the cores of all matched jobs\n   551→  totalCoreHours: Int! # Sum of the core hours of all matched jobs\n   552→  totalAccs: Int! # Sum of the accs of all matched jobs\n   553→  totalAccHours: Int! # Sum of the gpu hours of all matched jobs\n   554→  histDuration: [HistoPoint!]! # value: hour, count: number of jobs with a rounded duration of value\n   555→  histNumNodes: [HistoPoint!]! # value: number of nodes, count: number of jobs with that number of nodes\n   556→  histNumCores: [HistoPoint!]! # value: number of cores, count: number of jobs with that number of cores\n   557→  histNumAccs: [HistoPoint!]! # value: number of accs, count: number of jobs with that number of accs\n   558→  histMetrics: [MetricHistoPoints!]! # metric: metricname, data array of histopoints: value: metric average bin, count: number of jobs with that metric average\n   559→}\n   560→\n   561→input PageRequest {\n   562→  itemsPerPage: Int!\n   563→  page: Int!\n   564→}\n   565→"}]},"uuid":"fc97ab79-506f-4e19-b5a4-38ff7147892a","timestamp":"2026-03-19T19:46:22.327Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/api/schema.graphqls","content":"scalar Time\nscalar Any\n\nscalar NullableFloat\nscalar MetricScope\nscalar JobState\nscalar SchedulerState\nscalar MonitoringState\n\ntype Node {\n  id: ID!\n  hostname: String!\n  cluster: String!\n  subCluster: String!\n  jobsRunning: Int!\n  cpusAllocated: Int\n  memoryAllocated: Int\n  gpusAllocated: Int\n  schedulerState: SchedulerState!\n  healthState: MonitoringState!\n  metaData: Any\n  healthData: Any\n}\n\ntype NodeStates {\n  state: String!\n  count: Int!\n}\n\ntype NodeStatesTimed {\n  state: String!\n  counts: [Int!]!\n  times: [Int!]!\n}\n\ntype Job {\n  id: ID!\n  jobId: Int!\n  user: String!\n  project: String!\n  cluster: String!\n  subCluster: String!\n  startTime: Time!\n  duration: Int!\n  walltime: Int!\n  numNodes: Int!\n  numHWThreads: Int!\n  numAcc: Int!\n  energy: Float!\n  SMT: Int!\n  shared: String!\n  partition: String!\n  arrayJobId: Int!\n  monitoringStatus: Int!\n  state: JobState!\n  tags: [Tag!]!\n  resources: [Resource!]!\n  concurrentJobs: JobLinkResultList\n  footprint: [FootprintValue]\n  energyFootprint: [EnergyFootprintValue]\n  metaData: Any\n  userData: User\n}\n\ntype JobLink {\n  id: ID!\n  jobId: Int!\n}\n\ntype Cluster {\n  name: String!\n  partitions: [String!]! # Slurm partitions\n  subClusters: [SubCluster!]! # Hardware partitions/subclusters\n}\n\ntype SubCluster {\n  name: String!\n  nodes: String!\n  numberOfNodes: Int!\n  processorType: String!\n  socketsPerNode: Int!\n  coresPerSocket: Int!\n  threadsPerCore: Int!\n  flopRateScalar: MetricValue!\n  flopRateSimd: MetricValue!\n  memoryBandwidth: MetricValue!\n  topology: Topology!\n  metricConfig: [MetricConfig!]!\n  footprint: [String!]!\n}\n\ntype FootprintValue {\n  name: String!\n  stat: String!\n  value: Float!\n}\n\ntype EnergyFootprintValue {\n  hardware: String!\n  metric: String!\n  value: Float!\n}\n\ntype MetricValue {\n  name: String\n  unit: Unit!\n  value: Float!\n}\n\ntype Topology {\n  node: [Int!]\n  socket: [[Int!]!]\n  memoryDomain: [[Int!]!]\n  die: [[Int!]!]\n  core: [[Int!]!]\n  accelerators: [Accelerator!]\n}\n\ntype Accelerator {\n  id: String!\n  type: String!\n  model: String!\n}\n\ntype SubClusterConfig {\n  name: String!\n  peak: Float\n  normal: Float\n  caution: Float\n  alert: Float\n  remove: Boolean\n}\n\ntype MetricConfig {\n  name: String!\n  unit: Unit!\n  scope: MetricScope!\n  aggregation: String!\n  timestep: Int!\n  peak: Float!\n  normal: Float\n  caution: Float!\n  alert: Float!\n  lowerIsBetter: Boolean\n  subClusters: [SubClusterConfig!]!\n}\n\ntype Tag {\n  id: ID!\n  type: String!\n  name: String!\n  scope: String!\n}\n\ntype Resource {\n  hostname: String!\n  hwthreads: [Int!]\n  accelerators: [String!]\n  configuration: String\n}\n\ntype JobMetricWithName {\n  name: String!\n  scope: MetricScope!\n  metric: JobMetric!\n}\n\ntype ClusterMetricWithName {\n  name: String!\n  unit: Unit\n  timestep: Int!\n  data: [NullableFloat!]!\n}\n\ntype JobMetric {\n  unit: Unit\n  timestep: Int!\n  series: [Series!]\n  statisticsSeries: StatsSeries\n}\n\ntype Series {\n  hostname: String!\n  id: String\n  statistics: MetricStatistics\n  data: [NullableFloat!]!\n}\n\ntype StatsSeries {\n  mean: [NullableFloat!]!\n  median: [NullableFloat!]!\n  min: [NullableFloat!]!\n  max: [NullableFloat!]!\n}\n\ntype NamedStatsWithScope {\n  name: String!\n  scope: MetricScope!\n  stats: [ScopedStats!]!\n}\n\ntype ScopedStats {\n  hostname: String!\n  id: String\n  data: MetricStatistics!\n}\n\ntype JobStats {\n  id: Int!\n  jobId: String!\n  startTime: Int!\n  duration: Int!\n  cluster: String!\n  subCluster: String!\n  numNodes: Int!\n  numHWThreads: Int\n  numAccelerators: Int\n  stats: [NamedStats!]!\n}\n\ntype NamedStats {\n  name: String!\n  data: MetricStatistics!\n}\n\ntype Unit {\n  base: String!\n  prefix: String\n}\n\ntype MetricStatistics {\n  avg: Float!\n  min: Float!\n  max: Float!\n}\n\ntype MetricFootprints {\n  metric: String!\n  data: [NullableFloat!]!\n}\n\ntype Footprints {\n  timeWeights: TimeWeights!\n  metrics: [MetricFootprints!]!\n}\n\ntype TimeWeights {\n  nodeHours: [NullableFloat!]!\n  accHours: [NullableFloat!]!\n  coreHours: [NullableFloat!]!\n}\n\nenum Aggregate {\n  USER\n  PROJECT\n  CLUSTER\n  SUBCLUSTER\n}\nenum SortByAggregate {\n  TOTALWALLTIME\n  TOTALJOBS\n  TOTALUSERS\n  TOTALNODES\n  TOTALNODEHOURS\n  TOTALCORES\n  TOTALCOREHOURS\n  TOTALACCS\n  TOTALACCHOURS\n}\n\ntype NodeMetrics {\n  host: String!\n  nodeState: String!\n  metricHealth: String!\n  subCluster: String!\n  metrics: [JobMetricWithName!]!\n}\n\ntype ClusterMetrics {\n  nodeCount: Int!\n  metrics: [ClusterMetricWithName!]!\n}\n\ntype NodesResultList {\n  items: [NodeMetrics!]!\n  offset: Int\n  limit: Int\n  count: Int\n  totalNodes: Int\n  hasNextPage: Boolean\n}\n\ntype ClusterSupport {\n  cluster: String!\n  subClusters: [String!]!\n}\n\ntype GlobalMetricListItem {\n  name: String!\n  unit: Unit!\n  scope: MetricScope!\n  footprint: String\n  availability: [ClusterSupport!]!\n}\n\ntype Count {\n  name: String!\n  count: Int!\n}\n\ntype User {\n  username: String!\n  name: String!\n  email: String!\n}\n\ninput MetricStatItem {\n  metricName: String!\n  range: FloatRange!\n}\n\ntype Query {\n  clusters: [Cluster!]! # List of all clusters\n  tags: [Tag!]! # List of all tags\n  globalMetrics: [GlobalMetricListItem!]!\n\n  user(username: String!): User\n  allocatedNodes(cluster: String!): [Count!]!\n\n  ## Node Queries New\n  node(id: ID!): Node\n  nodes(filter: [NodeFilter!], order: OrderByInput): NodeStateResultList!\n  nodesWithMeta(filter: [NodeFilter!], order: OrderByInput): NodeStateResultList!\n  nodeStates(filter: [NodeFilter!]): [NodeStates!]!\n  nodeStatesTimed(filter: [NodeFilter!], type: String!): [NodeStatesTimed!]!\n\n  job(id: ID!): Job\n  jobMetrics(\n    id: ID!\n    metrics: [String!]\n    scopes: [MetricScope!]\n    resolution: Int\n  ): [JobMetricWithName!]!\n\n  jobStats(id: ID!, metrics: [String!]): [NamedStats!]!\n\n  scopedJobStats(\n    id: ID!\n    metrics: [String!]\n    scopes: [MetricScope!]\n  ): [NamedStatsWithScope!]!\n\n  jobs(\n    filter: [JobFilter!]\n    page: PageRequest\n    order: OrderByInput\n  ): JobResultList!\n\n  jobsStatistics(\n    filter: [JobFilter!]\n    metrics: [String!]\n    page: PageRequest\n    sortBy: SortByAggregate\n    groupBy: Aggregate\n    numDurationBins: String\n    numMetricBins: Int\n  ): [JobsStatistics!]!\n\n  jobsMetricStats(filter: [JobFilter!], metrics: [String!]): [JobStats!]!\n  jobsFootprints(filter: [JobFilter!], metrics: [String!]!): Footprints\n\n  rooflineHeatmap(\n    filter: [JobFilter!]!\n    rows: Int!\n    cols: Int!\n    minX: Float!\n    minY: Float!\n    maxX: Float!\n    maxY: Float!\n  ): [[Float!]!]!\n\n  nodeMetrics(\n    cluster: String!\n    nodes: [String!]\n    scopes: [MetricScope!]\n    metrics: [String!]\n    from: Time!\n    to: Time!\n  ): [NodeMetrics!]!\n\n  nodeMetricsList(\n    cluster: String!\n    subCluster: String!\n    stateFilter: String!\n    nodeFilter: String!\n    scopes: [MetricScope!]\n    metrics: [String!]\n    from: Time!\n    to: Time!\n    page: PageRequest\n    resolution: Int\n  ): NodesResultList!\n\n  clusterMetrics(\n    cluster: String!\n    metrics: [String!]\n    from: Time!\n    to: Time!\n  ): ClusterMetrics!\n}\n\ntype Mutation {\n  createTag(type: String!, name: String!, scope: String!): Tag!\n  deleteTag(id: ID!): ID!\n  addTagsToJob(job: ID!, tagIds: [ID!]!): [Tag!]!\n  removeTagsFromJob(job: ID!, tagIds: [ID!]!): [Tag!]!\n  removeTagFromList(tagIds: [ID!]!): [Int!]!\n\n  updateConfiguration(name: String!, value: String!): String\n}\n\ntype IntRangeOutput {\n  from: Int!\n  to: Int!\n}\ntype TimeRangeOutput {\n  range: String\n  from: Time!\n  to: Time!\n}\n\ninput NodeFilter {\n  hostname: StringInput\n  cluster: StringInput\n  subCluster: StringInput\n  schedulerState: SchedulerState\n  healthState: MonitoringState\n  timeStart: Int\n}\n\ninput JobFilter {\n  tags: [ID!]\n  dbId: [ID!]\n  jobId: StringInput\n  arrayJobId: Int\n  user: StringInput\n  project: StringInput\n  jobName: StringInput\n  cluster: StringInput\n  subCluster: StringInput\n  partition: StringInput\n  duration: IntRange\n  energy: FloatRange\n\n  numNodes: IntRange\n  numAccelerators: IntRange\n  numHWThreads: IntRange\n\n  startTime: TimeRange\n  state: [JobState!]\n  metricStats: [MetricStatItem!]\n  shared: String\n  schedule: String\n  node: StringInput\n}\n\ninput OrderByInput {\n  field: String!\n  type: String!\n  order: SortDirectionEnum! = ASC\n}\n\nenum SortDirectionEnum {\n  DESC\n  ASC\n}\n\ninput StringInput {\n  eq: String\n  neq: String\n  contains: String\n  startsWith: String\n  endsWith: String\n  in: [String!]\n}\n\ninput IntRange {\n  from: Int!\n  to: Int!\n}\ninput TimeRange {\n  range: String\n  from: Time\n  to: Time\n}\n\ninput FloatRange {\n  from: Float!\n  to: Float!\n}\n\ntype NodeStateResultList {\n  items: [Node!]!\n  count: Int\n}\n\ntype JobResultList {\n  items: [Job!]!\n  offset: Int\n  limit: Int\n  count: Int\n  hasNextPage: Boolean\n}\n\ntype JobLinkResultList {\n  listQuery: String\n  items: [JobLink!]!\n  count: Int\n}\n\ntype HistoPoint {\n  count: Int!\n  value: Int!\n}\n\ntype MetricHistoPoints {\n  metric: String!\n  unit: String!\n  stat: String\n  data: [MetricHistoPoint!]\n}\n\ntype MetricHistoPoint {\n  bin: Int\n  count: Int!\n  min: Int\n  max: Int\n}\n\ntype JobsStatistics {\n  id: ID! # If `groupBy` was used, ID of the user/project/cluster/subcluster\n  name: String! # if User-Statistics: Given Name of Account (ID) Owner\n  totalUsers: Int! # if *not* User-Statistics: Number of active users (based on running jobs)\n  totalJobs: Int! # Number of jobs\n  runningJobs: Int! # Number of running jobs\n  shortJobs: Int! # Number of jobs with a duration of less than config'd ShortRunningJobsDuration\n  totalWalltime: Int! # Sum of the duration of all matched jobs in hours\n  totalNodes: Int! # Sum of the nodes of all matched jobs\n  totalNodeHours: Int! # Sum of the node hours of all matched jobs\n  totalCores: Int! # Sum of the cores of all matched jobs\n  totalCoreHours: Int! # Sum of the core hours of all matched jobs\n  totalAccs: Int! # Sum of the accs of all matched jobs\n  totalAccHours: Int! # Sum of the gpu hours of all matched jobs\n  histDuration: [HistoPoint!]! # value: hour, count: number of jobs with a rounded duration of value\n  histNumNodes: [HistoPoint!]! # value: number of nodes, count: number of jobs with that number of nodes\n  histNumCores: [HistoPoint!]! # value: number of cores, count: number of jobs with that number of cores\n  histNumAccs: [HistoPoint!]! # value: number of accs, count: number of jobs with that number of accs\n  histMetrics: [MetricHistoPoints!]! # metric: metricname, data array of histopoints: value: metric average bin, count: number of jobs with that metric average\n}\n\ninput PageRequest {\n  itemsPerPage: Int!\n  page: Int!\n}\n","numLines":565,"startLine":1,"totalLines":565}},"sourceToolAssistantUUID":"e89bb510-7bd4-49f7-b0c7-e68efecf3330","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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+{"parentUuid":"a90bf017-7c03-49f2-87af-00728605cf55","isSidechain":false,"promptId":"1c46e1b2-ade5-44be-90d9-e93109c02833","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013cgo7BHHnDHsWAvxsaFb73","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package metricdispatch provides a unified interface for loading and caching job metric data.\n     7→//\n     8→// This package serves as a central dispatcher that routes metric data requests to the appropriate\n     9→// backend based on job state. For running jobs, data is fetched from the metric store (e.g., cc-metric-store).\n    10→// For completed jobs, data is retrieved from the file-based job archive.\n    11→//\n    12→// # Key Features\n    13→//\n    14→//   - Automatic backend selection based on job state (running vs. archived)\n    15→//   - LRU cache for performance optimization (128 MB default cache size)\n    16→//   - Data resampling using Largest Triangle Three Bucket algorithm for archived data\n    17→//   - Automatic statistics series generation for jobs with many nodes\n    18→//   - Support for scoped metrics (node, socket, accelerator, core)\n    19→//\n    20→// # Cache Behavior\n    21→//\n    22→// Cached data has different TTL (time-to-live) values depending on job state:\n    23→//   - Running jobs: 2 minutes (data changes frequently)\n    24→//   - Completed jobs: 5 hours (data is static)\n    25→//\n    26→// The cache key is based on job ID, state, requested metrics, scopes, and resolution.\n    27→//\n    28→// # Usage\n    29→//\n    30→// The primary entry point is LoadData, which automatically handles both running and archived jobs:\n    31→//\n    32→//\tjobData, err := metricdispatch.LoadData(job, metrics, scopes, ctx, resolution)\n    33→//\tif err != nil {\n    34→//\t    // Handle error\n    35→//\t}\n    36→//\n    37→// For statistics only, use LoadJobStats, LoadScopedJobStats, or LoadAverages depending on the required format.\n    38→package metricdispatch\n    39→\n    40→import (\n    41→\t\"context\"\n    42→\t\"fmt\"\n    43→\t\"math\"\n    44→\t\"time\"\n    45→\n    46→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    47→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    48→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n    49→\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n    50→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    51→)\n    52→\n    53→// cache is an LRU cache with 128 MB capacity for storing loaded job metric data.\n    54→// The cache reduces load on both the metric store and archive backends.\n    55→var cache *lrucache.Cache = lrucache.New(128 * 1024 * 1024)\n    56→\n    57→// cacheKey generates a unique cache key for a job's metric data based on job ID, state,\n    58→// requested metrics, scopes, and resolution. Duration and StartTime are intentionally excluded\n    59→// because job.ID is more unique and the cache TTL ensures entries don't persist indefinitely.\n    60→func cacheKey(\n    61→\tjob *schema.Job,\n    62→\tmetrics []string,\n    63→\tscopes []schema.MetricScope,\n    64→\tresolution int,\n    65→) string {\n    66→\treturn fmt.Sprintf(\"%d(%s):[%v],[%v]-%d\",\n    67→\t\t*job.ID, job.State, metrics, scopes, resolution)\n    68→}\n    69→\n    70→// LoadData retrieves metric data for a job from the appropriate backend (memory store for running jobs,\n    71→// archive for completed jobs) and applies caching, resampling, and statistics generation as needed.\n    72→//\n    73→// For running jobs or when archive is disabled, data is fetched from the metric store.\n    74→// For completed archived jobs, data is loaded from the job archive and resampled if needed.\n    75→//\n    76→// Parameters:\n    77→//   - job: The job for which to load metric data\n    78→//   - metrics: List of metric names to load (nil loads all metrics for the cluster)\n    79→//   - scopes: Metric scopes to include (nil defaults to node scope)\n    80→//   - ctx: Context for cancellation and timeouts\n    81→//   - resolution: Target number of data points for resampling (only applies to archived data)\n    82→//\n    83→// Returns the loaded job data and any error encountered. For partial errors (some metrics failed),\n    84→// the function returns the successfully loaded data with a warning logged.\n    85→func LoadData(job *schema.Job,\n    86→\tmetrics []string,\n    87→\tscopes []schema.MetricScope,\n    88→\tctx context.Context,\n    89→\tresolution int,\n    90→) (schema.JobData, error) {\n    91→\tdata := cache.Get(cacheKey(job, metrics, scopes, resolution), func() (_ any, ttl time.Duration, size int) {\n    92→\t\tvar jd schema.JobData\n    93→\t\tvar err error\n    94→\n    95→\t\tif job.State == schema.JobStateRunning ||\n    96→\t\t\tjob.MonitoringStatus == schema.MonitoringStatusRunningOrArchiving {\n    97→\n    98→\t\t\tms, err := GetMetricDataRepo(job.Cluster, job.SubCluster)\n    99→\t\t\tif err != nil {\n   100→\t\t\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n   101→\t\t\t\t\tjob.Cluster, job.SubCluster, err.Error())\n   102→\t\t\t\treturn err, 0, 0\n   103→\t\t\t}\n   104→\n   105→\t\t\tif scopes == nil {\n   106→\t\t\t\tscopes = append(scopes, schema.MetricScopeNode)\n   107→\t\t\t}\n   108→\n   109→\t\t\tif metrics == nil {\n   110→\t\t\t\tcluster := archive.GetCluster(job.Cluster)\n   111→\t\t\t\tfor _, mc := range cluster.MetricConfig {\n   112→\t\t\t\t\tmetrics = append(metrics, mc.Name)\n   113→\t\t\t\t}\n   114→\t\t\t}\n   115→\n   116→\t\t\tjd, err = ms.LoadData(job, metrics, scopes, ctx, resolution)\n   117→\t\t\tif err != nil {\n   118→\t\t\t\tif len(jd) != 0 {\n   119→\t\t\t\t\tcclog.Warnf(\"partial error loading metrics from store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n   120→\t\t\t\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n   121→\t\t\t\t} else {\n   122→\t\t\t\t\tcclog.Warnf(\"failed to load job data from metric store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n   123→\t\t\t\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n   124→\t\t\t\t\treturn err, 0, 0\n   125→\t\t\t\t}\n   126→\t\t\t}\n   127→\t\t\tsize = jd.Size()\n   128→\t\t} else {\n   129→\t\t\tvar jdTemp schema.JobData\n   130→\t\t\tjdTemp, err = archive.GetHandle().LoadJobData(job)\n   131→\t\t\tif err != nil {\n   132→\t\t\t\tcclog.Warnf(\"failed to load job data from archive for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n   133→\t\t\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n   134→\t\t\t\treturn err, 0, 0\n   135→\t\t\t}\n   136→\n   137→\t\t\tjd = deepCopy(jdTemp)\n   138→\n   139→\t\t\t// Resample archived data using Largest Triangle Three Bucket algorithm to reduce data points\n   140→\t\t\t// to the requested resolution, improving transfer performance and client-side rendering.\n   141→\t\t\tfor _, v := range jd {\n   142→\t\t\t\tfor _, v_ := range v {\n   143→\t\t\t\t\ttimestep := int64(0)\n   144→\t\t\t\t\tfor i := 0; i < len(v_.Series); i += 1 {\n   145→\t\t\t\t\t\tv_.Series[i].Data, timestep, err = resampler.LargestTriangleThreeBucket(v_.Series[i].Data, int64(v_.Timestep), int64(resolution))\n   146→\t\t\t\t\t\tif err != nil {\n   147→\t\t\t\t\t\t\treturn err, 0, 0\n   148→\t\t\t\t\t\t}\n   149→\t\t\t\t\t}\n   150→\t\t\t\t\tv_.Timestep = int(timestep)\n   151→\t\t\t\t}\n   152→\t\t\t}\n   153→\n   154→\t\t\t// Filter job data to only include requested metrics and scopes, avoiding unnecessary data transfer.\n   155→\t\t\tif metrics != nil || scopes != nil {\n   156→\t\t\t\tif metrics == nil {\n   157→\t\t\t\t\tmetrics = make([]string, 0, len(jd))\n   158→\t\t\t\t\tfor k := range jd {\n   159→\t\t\t\t\t\tmetrics = append(metrics, k)\n   160→\t\t\t\t\t}\n   161→\t\t\t\t}\n   162→\n   163→\t\t\t\tres := schema.JobData{}\n   164→\t\t\t\tfor _, metric := range metrics {\n   165→\t\t\t\t\tif perscope, ok := jd[metric]; ok {\n   166→\t\t\t\t\t\tif len(perscope) > 1 {\n   167→\t\t\t\t\t\t\tsubset := make(map[schema.MetricScope]*schema.JobMetric)\n   168→\t\t\t\t\t\t\tfor _, scope := range scopes {\n   169→\t\t\t\t\t\t\t\tif jm, ok := perscope[scope]; ok {\n   170→\t\t\t\t\t\t\t\t\tsubset[scope] = jm\n   171→\t\t\t\t\t\t\t\t}\n   172→\t\t\t\t\t\t\t}\n   173→\n   174→\t\t\t\t\t\t\tif len(subset) > 0 {\n   175→\t\t\t\t\t\t\t\tperscope = subset\n   176→\t\t\t\t\t\t\t}\n   177→\t\t\t\t\t\t}\n   178→\n   179→\t\t\t\t\t\tres[metric] = perscope\n   180→\t\t\t\t\t}\n   181→\t\t\t\t}\n   182→\t\t\t\tjd = res\n   183→\t\t\t}\n   184→\t\t\tsize = jd.Size()\n   185→\t\t}\n   186→\n   187→\t\tttl = 5 * time.Hour\n   188→\t\tif job.State == schema.JobStateRunning {\n   189→\t\t\tttl = 2 * time.Minute\n   190→\t\t}\n   191→\n   192→\t\t// Generate statistics series for jobs with many nodes to enable min/median/max graphs\n   193→\t\t// instead of overwhelming the UI with individual node lines. Note that newly calculated\n   194→\t\t// statistics use min/median/max, while archived statistics may use min/mean/max.\n   195→\t\tconst maxSeriesSize int = 8\n   196→\t\tfor _, scopes := range jd {\n   197→\t\t\tfor _, jm := range scopes {\n   198→\t\t\t\tif jm.StatisticsSeries != nil || len(jm.Series) < maxSeriesSize {\n   199→\t\t\t\t\tcontinue\n   200→\t\t\t\t}\n   201→\n   202→\t\t\t\tjm.AddStatisticsSeries()\n   203→\t\t\t}\n   204→\t\t}\n   205→\n   206→\t\tnodeScopeRequested := false\n   207→\t\tfor _, scope := range scopes {\n   208→\t\t\tif scope == schema.MetricScopeNode {\n   209→\t\t\t\tnodeScopeRequested = true\n   210→\t\t\t}\n   211→\t\t}\n   212→\n   213→\t\tif nodeScopeRequested {\n   214→\t\t\tjd.AddNodeScope(\"flops_any\")\n   215→\t\t\tjd.AddNodeScope(\"mem_bw\")\n   216→\t\t}\n   217→\n   218→\t\t// Round Resulting Stat Values\n   219→\t\tjd.RoundMetricStats()\n   220→\n   221→\t\treturn jd, ttl, size\n   222→\t})\n   223→\n   224→\tif err, ok := data.(error); ok {\n   225→\t\tcclog.Errorf(\"error in cached dataset for job %d: %s\", job.JobID, err.Error())\n   226→\t\treturn nil, err\n   227→\t}\n   228→\n   229→\treturn data.(schema.JobData), nil\n   230→}\n   231→\n   232→// LoadAverages computes average values for the specified metrics across all nodes of a job.\n   233→// For running jobs, it loads statistics from the metric store. For completed jobs, it uses\n   234→// the pre-calculated averages from the job archive. The results are appended to the data slice.\n   235→func LoadAverages(\n   236→\tjob *schema.Job,\n   237→\tmetrics []string,\n   238→\tdata [][]schema.Float,\n   239→\tctx context.Context,\n   240→) error {\n   241→\tif job.State != schema.JobStateRunning {\n   242→\t\treturn archive.LoadAveragesFromArchive(job, metrics, data) // #166 change also here?\n   243→\t}\n   244→\n   245→\tms, err := GetMetricDataRepo(job.Cluster, job.SubCluster)\n   246→\tif err != nil {\n   247→\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n   248→\t\t\tjob.Cluster, job.SubCluster, err.Error())\n   249→\t\treturn err\n   250→\t}\n   251→\n   252→\tstats, err := ms.LoadStats(job, metrics, ctx)\n   253→\tif err != nil {\n   254→\t\tcclog.Warnf(\"failed to load statistics from metric store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n   255→\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n   256→\t\treturn err\n   257→\t}\n   258→\n   259→\tfor i, m := range metrics {\n   260→\t\tnodes, ok := stats[m]\n   261→\t\tif !ok {\n   262→\t\t\tdata[i] = append(data[i], schema.NaN)\n   263→\t\t\tcontinue\n   264→\t\t}\n   265→\n   266→\t\tsum := 0.0\n   267→\t\tfor _, node := range nodes {\n   268→\t\t\tsum += node.Avg\n   269→\t\t}\n   270→\t\tdata[i] = append(data[i], schema.Float(sum))\n   271→\t}\n   272→\n   273→\treturn nil\n   274→}\n   275→\n   276→// LoadScopedJobStats retrieves job statistics organized by metric scope (node, socket, core, accelerator).\n   277→// For running jobs, statistics are computed from the metric store. For completed jobs, pre-calculated\n   278→// statistics are loaded from the job archive.\n   279→func LoadScopedJobStats(\n   280→\tjob *schema.Job,\n   281→\tmetrics []string,\n   282→\tscopes []schema.MetricScope,\n   283→\tctx context.Context,\n   284→) (schema.ScopedJobStats, error) {\n   285→\tif job.State != schema.JobStateRunning {\n   286→\t\treturn archive.LoadScopedStatsFromArchive(job, metrics, scopes)\n   287→\t}\n   288→\n   289→\tms, err := GetMetricDataRepo(job.Cluster, job.SubCluster)\n   290→\tif err != nil {\n   291→\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n   292→\t\t\tjob.Cluster, job.SubCluster, err.Error())\n   293→\t\treturn nil, err\n   294→\t}\n   295→\n   296→\tscopedStats, err := ms.LoadScopedStats(job, metrics, scopes, ctx)\n   297→\tif err != nil {\n   298→\t\tcclog.Warnf(\"failed to load scoped statistics from metric store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n   299→\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n   300→\t\treturn nil, err\n   301→\t}\n   302→\n   303→\t// Round Resulting Stat Values\n   304→\tscopedStats.RoundScopedMetricStats()\n   305→\n   306→\treturn scopedStats, nil\n   307→}\n   308→\n   309→// LoadJobStats retrieves aggregated statistics (min/avg/max) for each requested metric across all job nodes.\n   310→// For running jobs, statistics are computed from the metric store. For completed jobs, pre-calculated\n   311→// statistics are loaded from the job archive.\n   312→func LoadJobStats(\n   313→\tjob *schema.Job,\n   314→\tmetrics []string,\n   315→\tctx context.Context,\n   316→) (map[string]schema.MetricStatistics, error) {\n   317→\tif job.State != schema.JobStateRunning {\n   318→\t\treturn archive.LoadStatsFromArchive(job, metrics)\n   319→\t}\n   320→\n   321→\tms, err := GetMetricDataRepo(job.Cluster, job.SubCluster)\n   322→\tif err != nil {\n   323→\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n   324→\t\t\tjob.Cluster, job.SubCluster, err.Error())\n   325→\t\treturn nil, err\n   326→\t}\n   327→\n   328→\tdata := make(map[string]schema.MetricStatistics, len(metrics))\n   329→\n   330→\tstats, err := ms.LoadStats(job, metrics, ctx)\n   331→\tif err != nil {\n   332→\t\tcclog.Warnf(\"failed to load statistics from metric store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n   333→\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n   334→\t\treturn data, err\n   335→\t}\n   336→\n   337→\tfor _, m := range metrics {\n   338→\t\tsum, avg, min, max := 0.0, 0.0, 0.0, 0.0\n   339→\t\tnodes, ok := stats[m]\n   340→\t\tif !ok {\n   341→\t\t\tdata[m] = schema.MetricStatistics{Min: min, Avg: avg, Max: max}\n   342→\t\t\tcontinue\n   343→\t\t}\n   344→\n   345→\t\tfor _, node := range nodes {\n   346→\t\t\tsum += node.Avg\n   347→\t\t\tmin = math.Min(min, node.Min)\n   348→\t\t\tmax = math.Max(max, node.Max)\n   349→\t\t}\n   350→\n   351→\t\tdata[m] = schema.MetricStatistics{\n   352→\t\t\tAvg: (math.Round((sum/float64(job.NumNodes))*100) / 100),\n   353→\t\t\tMin: (math.Round(min*100) / 100),\n   354→\t\t\tMax: (math.Round(max*100) / 100),\n   355→\t\t}\n   356→\t}\n   357→\n   358→\treturn data, nil\n   359→}\n   360→\n   361→// LoadNodeData retrieves metric data for specific nodes in a cluster within a time range.\n   362→// This is used for node monitoring views and system status pages. Data is always fetched from\n   363→// the metric store (not the archive) since it's for current/recent node status monitoring.\n   364→//\n   365→// Returns a nested map structure: node -> metric -> scoped data.\n   366→// FIXME: Add support for subcluster specific cc-metric-stores\n   367→func LoadNodeData(\n   368→\tcluster string,\n   369→\tmetrics, nodes []string,\n   370→\tscopes []schema.MetricScope,\n   371→\tfrom, to time.Time,\n   372→\tctx context.Context,\n   373→) (map[string]map[string][]*schema.JobMetric, error) {\n   374→\tif metrics == nil {\n   375→\t\tfor _, m := range archive.GetCluster(cluster).MetricConfig {\n   376→\t\t\tmetrics = append(metrics, m.Name)\n   377→\t\t}\n   378→\t}\n   379→\n   380→\tms, err := GetMetricDataRepo(cluster, \"\")\n   381→\tif err != nil {\n   382→\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s: %s\",\n   383→\t\t\tcluster, err.Error())\n   384→\t\treturn nil, err\n   385→\t}\n   386→\n   387→\tdata, err := ms.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)\n   388→\tif err != nil {\n   389→\t\tif len(data) != 0 {\n   390→\t\t\tcclog.Warnf(\"partial error loading node data from metric store for cluster %s: %s\", cluster, err.Error())\n   391→\t\t} else {\n   392→\t\t\tcclog.Warnf(\"failed to load node data from metric store for cluster %s: %s\", cluster, err.Error())\n   393→\t\t\treturn nil, err\n   394→\t\t}\n   395→\t}\n   396→\n   397→\tif data == nil {\n   398→\t\treturn nil, fmt.Errorf(\"metric store for cluster '%s' does not support node data queries\", cluster)\n   399→\t}\n   400→\n   401→\treturn data, nil\n   402→}\n   403→\n   404→// LoadNodeListData retrieves time-series metric data for multiple nodes within a time range,\n   405→// with optional resampling and automatic statistics generation for large datasets.\n   406→// This is used for comparing multiple nodes or displaying node status over time.\n   407→//\n   408→// Returns a map of node names to their job-like metric data structures.\n   409→func LoadNodeListData(\n   410→\tcluster, subCluster string,\n   411→\tnodes []string,\n   412→\tmetrics []string,\n   413→\tscopes []schema.MetricScope,\n   414→\tresolution int,\n   415→\tfrom, to time.Time,\n   416→\tctx context.Context,\n   417→) (map[string]schema.JobData, error) {\n   418→\tif metrics == nil {\n   419→\t\tfor _, m := range archive.GetCluster(cluster).MetricConfig {\n   420→\t\t\tmetrics = append(metrics, m.Name)\n   421→\t\t}\n   422→\t}\n   423→\n   424→\tms, err := GetMetricDataRepo(cluster, subCluster)\n   425→\tif err != nil {\n   426→\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n   427→\t\t\tcluster, subCluster, err.Error())\n   428→\t\treturn nil, err\n   429→\t}\n   430→\n   431→\tdata, err := ms.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, resolution, from, to, ctx)\n   432→\tif err != nil {\n   433→\t\tif len(data) != 0 {\n   434→\t\t\tcclog.Warnf(\"partial error loading node list data from metric store for cluster %s, subcluster %s: %s\",\n   435→\t\t\t\tcluster, subCluster, err.Error())\n   436→\t\t} else {\n   437→\t\t\tcclog.Warnf(\"failed to load node list data from metric store for cluster %s, subcluster %s: %s\",\n   438→\t\t\t\tcluster, subCluster, err.Error())\n   439→\t\t\treturn nil, err\n   440→\t\t}\n   441→\t}\n   442→\n   443→\t// Generate statistics series for datasets with many series to improve visualization performance.\n   444→\t// Statistics are calculated as min/median/max.\n   445→\tconst maxSeriesSize int = 8\n   446→\tfor _, jd := range data {\n   447→\t\tfor _, scopes := range jd {\n   448→\t\t\tfor _, jm := range scopes {\n   449→\t\t\t\tif jm.StatisticsSeries != nil || len(jm.Series) < maxSeriesSize {\n   450→\t\t\t\t\tcontinue\n   451→\t\t\t\t}\n   452→\t\t\t\tjm.AddStatisticsSeries()\n   453→\t\t\t}\n   454→\t\t}\n   455→\t}\n   456→\n   457→\tif data == nil {\n   458→\t\treturn nil, fmt.Errorf(\"metric store for cluster '%s' does not support node list queries\", cluster)\n   459→\t}\n   460→\n   461→\treturn data, nil\n   462→}\n   463→\n   464→// deepCopy creates a deep copy of JobData to prevent cache corruption when modifying\n   465→// archived data (e.g., during resampling). This ensures the cached archive data remains\n   466→// immutable while allowing per-request transformations.\n   467→func deepCopy(source schema.JobData) schema.JobData {\n   468→\tresult := make(schema.JobData, len(source))\n   469→\n   470→\tfor metricName, scopeMap := range source {\n   471→\t\tresult[metricName] = make(map[schema.MetricScope]*schema.JobMetric, len(scopeMap))\n   472→\n   473→\t\tfor scope, jobMetric := range scopeMap {\n   474→\t\t\tresult[metricName][scope] = copyJobMetric(jobMetric)\n   475→\t\t}\n   476→\t}\n   477→\n   478→\treturn result\n   479→}\n   480→\n   481→func copyJobMetric(src *schema.JobMetric) *schema.JobMetric {\n   482→\tdst := &schema.JobMetric{\n   483→\t\tTimestep: src.Timestep,\n   484→\t\tUnit:     src.Unit,\n   485→\t\tSeries:   make([]schema.Series, len(src.Series)),\n   486→\t}\n   487→\n   488→\tfor i := range src.Series {\n   489→\t\tdst.Series[i] = copySeries(&src.Series[i])\n   490→\t}\n   491→\n   492→\tif src.StatisticsSeries != nil {\n   493→\t\tdst.StatisticsSeries = copyStatisticsSeries(src.StatisticsSeries)\n   494→\t}\n   495→\n   496→\treturn dst\n   497→}\n   498→\n   499→func copySeries(src *schema.Series) schema.Series {\n   500→\tdst := schema.Series{\n   501→\t\tHostname:   src.Hostname,\n   502→\t\tID:         src.ID,\n   503→\t\tStatistics: src.Statistics,\n   504→\t\tData:       make([]schema.Float, len(src.Data)),\n   505→\t}\n   506→\n   507→\tcopy(dst.Data, src.Data)\n   508→\treturn dst\n   509→}\n   510→\n   511→func copyStatisticsSeries(src *schema.StatsSeries) *schema.StatsSeries {\n   512→\tdst := &schema.StatsSeries{\n   513→\t\tMin:    make([]schema.Float, len(src.Min)),\n   514→\t\tMean:   make([]schema.Float, len(src.Mean)),\n   515→\t\tMedian: make([]schema.Float, len(src.Median)),\n   516→\t\tMax:    make([]schema.Float, len(src.Max)),\n   517→\t}\n   518→\n   519→\tcopy(dst.Min, src.Min)\n   520→\tcopy(dst.Mean, src.Mean)\n   521→\tcopy(dst.Median, src.Median)\n   522→\tcopy(dst.Max, src.Max)\n   523→\n   524→\tif len(src.Percentiles) > 0 {\n   525→\t\tdst.Percentiles = make(map[int][]schema.Float, len(src.Percentiles))\n   526→\t\tfor percentile, values := range src.Percentiles {\n   527→\t\t\tdst.Percentiles[percentile] = make([]schema.Float, len(values))\n   528→\t\t\tcopy(dst.Percentiles[percentile], values)\n   529→\t\t}\n   530→\t}\n   531→\n   532→\treturn dst\n   533→}\n   534→"}]},"uuid":"6f15dd05-08bd-4884-a480-bfaa9eff2e5e","timestamp":"2026-03-19T19:46:22.534Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/internal/metricdispatch/dataLoader.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricdispatch provides a unified interface for loading and caching job metric data.\n//\n// This package serves as a central dispatcher that routes metric data requests to the appropriate\n// backend based on job state. For running jobs, data is fetched from the metric store (e.g., cc-metric-store).\n// For completed jobs, data is retrieved from the file-based job archive.\n//\n// # Key Features\n//\n//   - Automatic backend selection based on job state (running vs. archived)\n//   - LRU cache for performance optimization (128 MB default cache size)\n//   - Data resampling using Largest Triangle Three Bucket algorithm for archived data\n//   - Automatic statistics series generation for jobs with many nodes\n//   - Support for scoped metrics (node, socket, accelerator, core)\n//\n// # Cache Behavior\n//\n// Cached data has different TTL (time-to-live) values depending on job state:\n//   - Running jobs: 2 minutes (data changes frequently)\n//   - Completed jobs: 5 hours (data is static)\n//\n// The cache key is based on job ID, state, requested metrics, scopes, and resolution.\n//\n// # Usage\n//\n// The primary entry point is LoadData, which automatically handles both running and archived jobs:\n//\n//\tjobData, err := metricdispatch.LoadData(job, metrics, scopes, ctx, resolution)\n//\tif err != nil {\n//\t    // Handle error\n//\t}\n//\n// For statistics only, use LoadJobStats, LoadScopedJobStats, or LoadAverages depending on the required format.\npackage metricdispatch\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"math\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// cache is an LRU cache with 128 MB capacity for storing loaded job metric data.\n// The cache reduces load on both the metric store and archive backends.\nvar cache *lrucache.Cache = lrucache.New(128 * 1024 * 1024)\n\n// cacheKey generates a unique cache key for a job's metric data based on job ID, state,\n// requested metrics, scopes, and resolution. Duration and StartTime are intentionally excluded\n// because job.ID is more unique and the cache TTL ensures entries don't persist indefinitely.\nfunc cacheKey(\n\tjob *schema.Job,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tresolution int,\n) string {\n\treturn fmt.Sprintf(\"%d(%s):[%v],[%v]-%d\",\n\t\t*job.ID, job.State, metrics, scopes, resolution)\n}\n\n// LoadData retrieves metric data for a job from the appropriate backend (memory store for running jobs,\n// archive for completed jobs) and applies caching, resampling, and statistics generation as needed.\n//\n// For running jobs or when archive is disabled, data is fetched from the metric store.\n// For completed archived jobs, data is loaded from the job archive and resampled if needed.\n//\n// Parameters:\n//   - job: The job for which to load metric data\n//   - metrics: List of metric names to load (nil loads all metrics for the cluster)\n//   - scopes: Metric scopes to include (nil defaults to node scope)\n//   - ctx: Context for cancellation and timeouts\n//   - resolution: Target number of data points for resampling (only applies to archived data)\n//\n// Returns the loaded job data and any error encountered. For partial errors (some metrics failed),\n// the function returns the successfully loaded data with a warning logged.\nfunc LoadData(job *schema.Job,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tctx context.Context,\n\tresolution int,\n) (schema.JobData, error) {\n\tdata := cache.Get(cacheKey(job, metrics, scopes, resolution), func() (_ any, ttl time.Duration, size int) {\n\t\tvar jd schema.JobData\n\t\tvar err error\n\n\t\tif job.State == schema.JobStateRunning ||\n\t\t\tjob.MonitoringStatus == schema.MonitoringStatusRunningOrArchiving {\n\n\t\t\tms, err := GetMetricDataRepo(job.Cluster, job.SubCluster)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\t\t\tjob.Cluster, job.SubCluster, err.Error())\n\t\t\t\treturn err, 0, 0\n\t\t\t}\n\n\t\t\tif scopes == nil {\n\t\t\t\tscopes = append(scopes, schema.MetricScopeNode)\n\t\t\t}\n\n\t\t\tif metrics == nil {\n\t\t\t\tcluster := archive.GetCluster(job.Cluster)\n\t\t\t\tfor _, mc := range cluster.MetricConfig {\n\t\t\t\t\tmetrics = append(metrics, mc.Name)\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tjd, err = ms.LoadData(job, metrics, scopes, ctx, resolution)\n\t\t\tif err != nil {\n\t\t\t\tif len(jd) != 0 {\n\t\t\t\t\tcclog.Warnf(\"partial error loading metrics from store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\t\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tcclog.Warnf(\"failed to load job data from metric store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\t\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\t\t\t\treturn err, 0, 0\n\t\t\t\t}\n\t\t\t}\n\t\t\tsize = jd.Size()\n\t\t} else {\n\t\t\tvar jdTemp schema.JobData\n\t\t\tjdTemp, err = archive.GetHandle().LoadJobData(job)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Warnf(\"failed to load job data from archive for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\t\t\treturn err, 0, 0\n\t\t\t}\n\n\t\t\tjd = deepCopy(jdTemp)\n\n\t\t\t// Resample archived data using Largest Triangle Three Bucket algorithm to reduce data points\n\t\t\t// to the requested resolution, improving transfer performance and client-side rendering.\n\t\t\tfor _, v := range jd {\n\t\t\t\tfor _, v_ := range v {\n\t\t\t\t\ttimestep := int64(0)\n\t\t\t\t\tfor i := 0; i < len(v_.Series); i += 1 {\n\t\t\t\t\t\tv_.Series[i].Data, timestep, err = resampler.LargestTriangleThreeBucket(v_.Series[i].Data, int64(v_.Timestep), int64(resolution))\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\treturn err, 0, 0\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\tv_.Timestep = int(timestep)\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Filter job data to only include requested metrics and scopes, avoiding unnecessary data transfer.\n\t\t\tif metrics != nil || scopes != nil {\n\t\t\t\tif metrics == nil {\n\t\t\t\t\tmetrics = make([]string, 0, len(jd))\n\t\t\t\t\tfor k := range jd {\n\t\t\t\t\t\tmetrics = append(metrics, k)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\tres := schema.JobData{}\n\t\t\t\tfor _, metric := range metrics {\n\t\t\t\t\tif perscope, ok := jd[metric]; ok {\n\t\t\t\t\t\tif len(perscope) > 1 {\n\t\t\t\t\t\t\tsubset := make(map[schema.MetricScope]*schema.JobMetric)\n\t\t\t\t\t\t\tfor _, scope := range scopes {\n\t\t\t\t\t\t\t\tif jm, ok := perscope[scope]; ok {\n\t\t\t\t\t\t\t\t\tsubset[scope] = jm\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\tif len(subset) > 0 {\n\t\t\t\t\t\t\t\tperscope = subset\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tres[metric] = perscope\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tjd = res\n\t\t\t}\n\t\t\tsize = jd.Size()\n\t\t}\n\n\t\tttl = 5 * time.Hour\n\t\tif job.State == schema.JobStateRunning {\n\t\t\tttl = 2 * time.Minute\n\t\t}\n\n\t\t// Generate statistics series for jobs with many nodes to enable min/median/max graphs\n\t\t// instead of overwhelming the UI with individual node lines. Note that newly calculated\n\t\t// statistics use min/median/max, while archived statistics may use min/mean/max.\n\t\tconst maxSeriesSize int = 8\n\t\tfor _, scopes := range jd {\n\t\t\tfor _, jm := range scopes {\n\t\t\t\tif jm.StatisticsSeries != nil || len(jm.Series) < maxSeriesSize {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tjm.AddStatisticsSeries()\n\t\t\t}\n\t\t}\n\n\t\tnodeScopeRequested := false\n\t\tfor _, scope := range scopes {\n\t\t\tif scope == schema.MetricScopeNode {\n\t\t\t\tnodeScopeRequested = true\n\t\t\t}\n\t\t}\n\n\t\tif nodeScopeRequested {\n\t\t\tjd.AddNodeScope(\"flops_any\")\n\t\t\tjd.AddNodeScope(\"mem_bw\")\n\t\t}\n\n\t\t// Round Resulting Stat Values\n\t\tjd.RoundMetricStats()\n\n\t\treturn jd, ttl, size\n\t})\n\n\tif err, ok := data.(error); ok {\n\t\tcclog.Errorf(\"error in cached dataset for job %d: %s\", job.JobID, err.Error())\n\t\treturn nil, err\n\t}\n\n\treturn data.(schema.JobData), nil\n}\n\n// LoadAverages computes average values for the specified metrics across all nodes of a job.\n// For running jobs, it loads statistics from the metric store. For completed jobs, it uses\n// the pre-calculated averages from the job archive. The results are appended to the data slice.\nfunc LoadAverages(\n\tjob *schema.Job,\n\tmetrics []string,\n\tdata [][]schema.Float,\n\tctx context.Context,\n) error {\n\tif job.State != schema.JobStateRunning {\n\t\treturn archive.LoadAveragesFromArchive(job, metrics, data) // #166 change also here?\n\t}\n\n\tms, err := GetMetricDataRepo(job.Cluster, job.SubCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\tjob.Cluster, job.SubCluster, err.Error())\n\t\treturn err\n\t}\n\n\tstats, err := ms.LoadStats(job, metrics, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"failed to load statistics from metric store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\treturn err\n\t}\n\n\tfor i, m := range metrics {\n\t\tnodes, ok := stats[m]\n\t\tif !ok {\n\t\t\tdata[i] = append(data[i], schema.NaN)\n\t\t\tcontinue\n\t\t}\n\n\t\tsum := 0.0\n\t\tfor _, node := range nodes {\n\t\t\tsum += node.Avg\n\t\t}\n\t\tdata[i] = append(data[i], schema.Float(sum))\n\t}\n\n\treturn nil\n}\n\n// LoadScopedJobStats retrieves job statistics organized by metric scope (node, socket, core, accelerator).\n// For running jobs, statistics are computed from the metric store. For completed jobs, pre-calculated\n// statistics are loaded from the job archive.\nfunc LoadScopedJobStats(\n\tjob *schema.Job,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tctx context.Context,\n) (schema.ScopedJobStats, error) {\n\tif job.State != schema.JobStateRunning {\n\t\treturn archive.LoadScopedStatsFromArchive(job, metrics, scopes)\n\t}\n\n\tms, err := GetMetricDataRepo(job.Cluster, job.SubCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\tjob.Cluster, job.SubCluster, err.Error())\n\t\treturn nil, err\n\t}\n\n\tscopedStats, err := ms.LoadScopedStats(job, metrics, scopes, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"failed to load scoped statistics from metric store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\treturn nil, err\n\t}\n\n\t// Round Resulting Stat Values\n\tscopedStats.RoundScopedMetricStats()\n\n\treturn scopedStats, nil\n}\n\n// LoadJobStats retrieves aggregated statistics (min/avg/max) for each requested metric across all job nodes.\n// For running jobs, statistics are computed from the metric store. For completed jobs, pre-calculated\n// statistics are loaded from the job archive.\nfunc LoadJobStats(\n\tjob *schema.Job,\n\tmetrics []string,\n\tctx context.Context,\n) (map[string]schema.MetricStatistics, error) {\n\tif job.State != schema.JobStateRunning {\n\t\treturn archive.LoadStatsFromArchive(job, metrics)\n\t}\n\n\tms, err := GetMetricDataRepo(job.Cluster, job.SubCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\tjob.Cluster, job.SubCluster, err.Error())\n\t\treturn nil, err\n\t}\n\n\tdata := make(map[string]schema.MetricStatistics, len(metrics))\n\n\tstats, err := ms.LoadStats(job, metrics, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"failed to load statistics from metric store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\treturn data, err\n\t}\n\n\tfor _, m := range metrics {\n\t\tsum, avg, min, max := 0.0, 0.0, 0.0, 0.0\n\t\tnodes, ok := stats[m]\n\t\tif !ok {\n\t\t\tdata[m] = schema.MetricStatistics{Min: min, Avg: avg, Max: max}\n\t\t\tcontinue\n\t\t}\n\n\t\tfor _, node := range nodes {\n\t\t\tsum += node.Avg\n\t\t\tmin = math.Min(min, node.Min)\n\t\t\tmax = math.Max(max, node.Max)\n\t\t}\n\n\t\tdata[m] = schema.MetricStatistics{\n\t\t\tAvg: (math.Round((sum/float64(job.NumNodes))*100) / 100),\n\t\t\tMin: (math.Round(min*100) / 100),\n\t\t\tMax: (math.Round(max*100) / 100),\n\t\t}\n\t}\n\n\treturn data, nil\n}\n\n// LoadNodeData retrieves metric data for specific nodes in a cluster within a time range.\n// This is used for node monitoring views and system status pages. Data is always fetched from\n// the metric store (not the archive) since it's for current/recent node status monitoring.\n//\n// Returns a nested map structure: node -> metric -> scoped data.\n// FIXME: Add support for subcluster specific cc-metric-stores\nfunc LoadNodeData(\n\tcluster string,\n\tmetrics, nodes []string,\n\tscopes []schema.MetricScope,\n\tfrom, to time.Time,\n\tctx context.Context,\n) (map[string]map[string][]*schema.JobMetric, error) {\n\tif metrics == nil {\n\t\tfor _, m := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, m.Name)\n\t\t}\n\t}\n\n\tms, err := GetMetricDataRepo(cluster, \"\")\n\tif err != nil {\n\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s: %s\",\n\t\t\tcluster, err.Error())\n\t\treturn nil, err\n\t}\n\n\tdata, err := ms.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)\n\tif err != nil {\n\t\tif len(data) != 0 {\n\t\t\tcclog.Warnf(\"partial error loading node data from metric store for cluster %s: %s\", cluster, err.Error())\n\t\t} else {\n\t\t\tcclog.Warnf(\"failed to load node data from metric store for cluster %s: %s\", cluster, err.Error())\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\tif data == nil {\n\t\treturn nil, fmt.Errorf(\"metric store for cluster '%s' does not support node data queries\", cluster)\n\t}\n\n\treturn data, nil\n}\n\n// LoadNodeListData retrieves time-series metric data for multiple nodes within a time range,\n// with optional resampling and automatic statistics generation for large datasets.\n// This is used for comparing multiple nodes or displaying node status over time.\n//\n// Returns a map of node names to their job-like metric data structures.\nfunc LoadNodeListData(\n\tcluster, subCluster string,\n\tnodes []string,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tresolution int,\n\tfrom, to time.Time,\n\tctx context.Context,\n) (map[string]schema.JobData, error) {\n\tif metrics == nil {\n\t\tfor _, m := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, m.Name)\n\t\t}\n\t}\n\n\tms, err := GetMetricDataRepo(cluster, subCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\tcluster, subCluster, err.Error())\n\t\treturn nil, err\n\t}\n\n\tdata, err := ms.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, resolution, from, to, ctx)\n\tif err != nil {\n\t\tif len(data) != 0 {\n\t\t\tcclog.Warnf(\"partial error loading node list data from metric store for cluster %s, subcluster %s: %s\",\n\t\t\t\tcluster, subCluster, err.Error())\n\t\t} else {\n\t\t\tcclog.Warnf(\"failed to load node list data from metric store for cluster %s, subcluster %s: %s\",\n\t\t\t\tcluster, subCluster, err.Error())\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\t// Generate statistics series for datasets with many series to improve visualization performance.\n\t// Statistics are calculated as min/median/max.\n\tconst maxSeriesSize int = 8\n\tfor _, jd := range data {\n\t\tfor _, scopes := range jd {\n\t\t\tfor _, jm := range scopes {\n\t\t\t\tif jm.StatisticsSeries != nil || len(jm.Series) < maxSeriesSize {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tjm.AddStatisticsSeries()\n\t\t\t}\n\t\t}\n\t}\n\n\tif data == nil {\n\t\treturn nil, fmt.Errorf(\"metric store for cluster '%s' does not support node list queries\", cluster)\n\t}\n\n\treturn data, nil\n}\n\n// deepCopy creates a deep copy of JobData to prevent cache corruption when modifying\n// archived data (e.g., during resampling). This ensures the cached archive data remains\n// immutable while allowing per-request transformations.\nfunc deepCopy(source schema.JobData) schema.JobData {\n\tresult := make(schema.JobData, len(source))\n\n\tfor metricName, scopeMap := range source {\n\t\tresult[metricName] = make(map[schema.MetricScope]*schema.JobMetric, len(scopeMap))\n\n\t\tfor scope, jobMetric := range scopeMap {\n\t\t\tresult[metricName][scope] = copyJobMetric(jobMetric)\n\t\t}\n\t}\n\n\treturn result\n}\n\nfunc copyJobMetric(src *schema.JobMetric) *schema.JobMetric {\n\tdst := &schema.JobMetric{\n\t\tTimestep: src.Timestep,\n\t\tUnit:     src.Unit,\n\t\tSeries:   make([]schema.Series, len(src.Series)),\n\t}\n\n\tfor i := range src.Series {\n\t\tdst.Series[i] = copySeries(&src.Series[i])\n\t}\n\n\tif src.StatisticsSeries != nil {\n\t\tdst.StatisticsSeries = copyStatisticsSeries(src.StatisticsSeries)\n\t}\n\n\treturn dst\n}\n\nfunc copySeries(src *schema.Series) schema.Series {\n\tdst := schema.Series{\n\t\tHostname:   src.Hostname,\n\t\tID:         src.ID,\n\t\tStatistics: src.Statistics,\n\t\tData:       make([]schema.Float, len(src.Data)),\n\t}\n\n\tcopy(dst.Data, src.Data)\n\treturn dst\n}\n\nfunc copyStatisticsSeries(src *schema.StatsSeries) *schema.StatsSeries {\n\tdst := &schema.StatsSeries{\n\t\tMin:    make([]schema.Float, len(src.Min)),\n\t\tMean:   make([]schema.Float, len(src.Mean)),\n\t\tMedian: make([]schema.Float, len(src.Median)),\n\t\tMax:    make([]schema.Float, len(src.Max)),\n\t}\n\n\tcopy(dst.Min, src.Min)\n\tcopy(dst.Mean, src.Mean)\n\tcopy(dst.Median, src.Median)\n\tcopy(dst.Max, src.Max)\n\n\tif len(src.Percentiles) > 0 {\n\t\tdst.Percentiles = make(map[int][]schema.Float, len(src.Percentiles))\n\t\tfor percentile, values := range src.Percentiles {\n\t\t\tdst.Percentiles[percentile] = make([]schema.Float, len(values))\n\t\t\tcopy(dst.Percentiles[percentile], values)\n\t\t}\n\t}\n\n\treturn dst\n}\n","numLines":534,"startLine":1,"totalLines":534}},"sourceToolAssistantUUID":"a90bf017-7c03-49f2-87af-00728605cf55","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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+{"parentUuid":"6918159d-98ed-47a5-9717-1c88e0e885f6","isSidechain":false,"promptId":"1c46e1b2-ade5-44be-90d9-e93109c02833","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016TT8yhDP5XWDkAPTfeLBva","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package metricstore provides an efficient in-memory time-series metric storage system\n     7→// with support for hierarchical data organization, checkpointing, and archiving.\n     8→//\n     9→// The package organizes metrics in a tree structure (cluster → host → component) and\n    10→// provides concurrent read/write access to metric data with configurable aggregation strategies.\n    11→// Background goroutines handle periodic checkpointing (JSON or Avro format), archiving old data,\n    12→// and enforcing retention policies.\n    13→//\n    14→// Key features:\n    15→//   - In-memory metric storage with configurable retention\n    16→//   - Hierarchical data organization (selectors)\n    17→//   - Concurrent checkpoint/archive workers\n    18→//   - Support for sum and average aggregation\n    19→//   - NATS integration for metric ingestion\n    20→package metricstore\n    21→\n    22→import (\n    23→\t\"bytes\"\n    24→\t\"context\"\n    25→\t\"encoding/json\"\n    26→\t\"errors\"\n    27→\t\"fmt\"\n    28→\t\"runtime\"\n    29→\t\"runtime/debug\"\n    30→\t\"slices\"\n    31→\t\"sync\"\n    32→\t\"time\"\n    33→\n    34→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    35→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    36→\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n    37→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    38→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n    39→)\n    40→\n    41→// GlobalState holds the global state for the metric store with thread-safe access.\n    42→type GlobalState struct {\n    43→\tmu                sync.RWMutex\n    44→\tlastRetentionTime int64\n    45→\tselectorsExcluded bool\n    46→}\n    47→\n    48→var (\n    49→\tsingleton  sync.Once\n    50→\tmsInstance *MemoryStore\n    51→\t// shutdownFunc stores the context cancellation function created in Init\n    52→\t// and is called during Shutdown to cancel all background goroutines\n    53→\tshutdownFunc   context.CancelFunc\n    54→\tshutdownFuncMu sync.Mutex // Protects shutdownFunc from concurrent access\n    55→\t// Create a global instance\n    56→\tstate = &GlobalState{}\n    57→)\n    58→\n    59→// NodeProvider provides information about nodes currently in use by running jobs.\n    60→//\n    61→// This interface allows metricstore to query job information without directly\n    62→// depending on the repository package, breaking the import cycle.\n    63→//\n    64→// Implementations should return nodes that are actively processing jobs started\n    65→// before the given timestamp. These nodes will be excluded from retention-based\n    66→// garbage collection to prevent data loss for jobs that are still running or\n    67→// recently completed.\n    68→type NodeProvider interface {\n    69→\t// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n    70→\t// that are currently in use by jobs that started before the given timestamp.\n    71→\t//\n    72→\t// Parameters:\n    73→\t//   - ts: Unix timestamp threshold - returns nodes with jobs started before this time\n    74→\t//\n    75→\t// Returns:\n    76→\t//   - Map of cluster names to lists of node hostnames that should be excluded from garbage collection\n    77→\t//   - Error if the query fails\n    78→\tGetUsedNodes(ts int64) (map[string][]string, error)\n    79→}\n    80→\n    81→// Metric represents a single metric data point to be written to the store.\n    82→type Metric struct {\n    83→\tName  string\n    84→\tValue schema.Float\n    85→\t// MetricConfig contains frequency and aggregation settings for this metric.\n    86→\t// If Frequency is 0, configuration will be looked up from MemoryStore.Metrics during Write().\n    87→\tMetricConfig MetricConfig\n    88→}\n    89→\n    90→// MemoryStore is the main in-memory time-series metric storage implementation.\n    91→//\n    92→// It organizes metrics in a hierarchical tree structure where each level represents\n    93→// a component of the system hierarchy (e.g., cluster → host → CPU). Each level can\n    94→// store multiple metrics as time-series buffers.\n    95→//\n    96→// The store is initialized as a singleton via InitMetrics() and accessed via GetMemoryStore().\n    97→// All public methods are safe for concurrent use.\n    98→type MemoryStore struct {\n    99→\tMetrics      map[string]MetricConfig\n   100→\troot         Level\n   101→\tnodeProvider NodeProvider\n   102→}\n   103→\n   104→// Init initializes the metric store from configuration and starts background workers.\n   105→//\n   106→// This function must be called exactly once before any other metricstore operations.\n   107→// It performs the following initialization steps:\n   108→//  1. Validates and decodes the metric store configuration\n   109→//  2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n   110→//  3. Loads metric configurations from all registered clusters\n   111→//  4. Restores checkpoints within the retention window\n   112→//  5. Starts background workers for retention, checkpointing, archiving, and monitoring\n   113→//  6. Optionally subscribes to NATS for real-time metric ingestion\n   114→//\n   115→// Parameters:\n   116→//   - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n   117→//   - wg: WaitGroup that will be incremented for each background goroutine started\n   118→//\n   119→// The function will call cclog.Fatal on critical errors during initialization.\n   120→// Use Shutdown() to cleanly stop all background workers started by Init().\n   121→//\n   122→// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n   123→// receiving termination signals to ensure checkpoint data is persisted.\n   124→func Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n   125→\tstartupTime := time.Now()\n   126→\n   127→\tif rawConfig != nil {\n   128→\t\tconfig.Validate(configSchema, rawConfig)\n   129→\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n   130→\t\tdec.DisallowUnknownFields()\n   131→\t\tif err := dec.Decode(&Keys); err != nil {\n   132→\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n   133→\t\t}\n   134→\t}\n   135→\n   136→\t// Set NumWorkers from config or use default\n   137→\tif Keys.NumWorkers <= 0 {\n   138→\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n   139→\t}\n   140→\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n   141→\n   142→\t// Pass the config.MetricStoreKeys\n   143→\tInitMetrics(metrics)\n   144→\n   145→\tms := GetMemoryStore()\n   146→\n   147→\td, err := time.ParseDuration(Keys.RetentionInMemory)\n   148→\tif err != nil {\n   149→\t\tcclog.Fatal(err)\n   150→\t}\n   151→\n   152→\trestoreFrom := startupTime.Add(-d)\n   153→\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n   154→\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n   155→\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n   156→\tif err != nil {\n   157→\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n   158→\t} else {\n   159→\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n   160→\t}\n   161→\n   162→\t// Try to use less memory by forcing a GC run here and then\n   163→\t// lowering the target percentage. The default of 100 means\n   164→\t// that only once the ratio of new allocations execeds the\n   165→\t// previously active heap, a GC is triggered.\n   166→\t// Forcing a GC here will set the \"previously active heap\"\n   167→\t// to a minumum.\n   168→\t// runtime.GC()\n   169→\n   170→\tctx, shutdown := context.WithCancel(context.Background())\n   171→\n   172→\tRetention(wg, ctx)\n   173→\tCheckpointing(wg, ctx)\n   174→\tCleanUp(wg, ctx)\n   175→\tWALStaging(wg, ctx)\n   176→\tMemoryUsageTracker(wg, ctx)\n   177→\n   178→\t// Note: Signal handling has been removed from this function.\n   179→\t// The caller is responsible for handling shutdown signals and calling\n   180→\t// the shutdown() function when appropriate.\n   181→\t// Store the shutdown function for later use by Shutdown()\n   182→\tshutdownFuncMu.Lock()\n   183→\tshutdownFunc = shutdown\n   184→\tshutdownFuncMu.Unlock()\n   185→\n   186→\tif Keys.Subscriptions != nil {\n   187→\t\twg.Go(func() {\n   188→\t\t\tif err := ReceiveNats(ms, Keys.NumWorkers, ctx); err != nil {\n   189→\t\t\t\tcclog.Fatal(err)\n   190→\t\t\t}\n   191→\t\t})\n   192→\t}\n   193→}\n   194→\n   195→// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n   196→//\n   197→// This function must be called before GetMemoryStore() and can only be called once due to\n   198→// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n   199→//\n   200→// Parameters:\n   201→//   - metrics: Map of metric names to their configurations (frequency and aggregation strategy)\n   202→//\n   203→// Panics if any metric has Frequency == 0, which indicates an invalid configuration.\n   204→//\n   205→// After this call, the global msInstance is ready for use via GetMemoryStore().\n   206→func InitMetrics(metrics map[string]MetricConfig) {\n   207→\tsingleton.Do(func() {\n   208→\t\toffset := 0\n   209→\t\tfor key, cfg := range metrics {\n   210→\t\t\tif cfg.Frequency == 0 {\n   211→\t\t\t\tpanic(\"[METRICSTORE]> invalid frequency\")\n   212→\t\t\t}\n   213→\n   214→\t\t\tmetrics[key] = MetricConfig{\n   215→\t\t\t\tFrequency:   cfg.Frequency,\n   216→\t\t\t\tAggregation: cfg.Aggregation,\n   217→\t\t\t\toffset:      offset,\n   218→\t\t\t}\n   219→\t\t\toffset += 1\n   220→\t\t}\n   221→\n   222→\t\tmsInstance = &MemoryStore{\n   223→\t\t\troot: Level{\n   224→\t\t\t\tmetrics:  make([]*buffer, len(metrics)),\n   225→\t\t\t\tchildren: make(map[string]*Level),\n   226→\t\t\t},\n   227→\t\t\tMetrics: metrics,\n   228→\t\t}\n   229→\t})\n   230→}\n   231→\n   232→// GetMemoryStore returns the singleton MemoryStore instance.\n   233→//\n   234→// Returns the initialized MemoryStore singleton. Calls cclog.Fatal if InitMetrics() was not called first.\n   235→//\n   236→// This function is safe for concurrent use after initialization.\n   237→func GetMemoryStore() *MemoryStore {\n   238→\tif msInstance == nil {\n   239→\t\tcclog.Warnf(\"[METRICSTORE]> MemoryStore not initialized!\")\n   240→\t}\n   241→\n   242→\treturn msInstance\n   243→}\n   244→\n   245→func (ms *MemoryStore) GetMetricFrequency(metricName string) (int64, error) {\n   246→\tif metric, ok := ms.Metrics[metricName]; ok {\n   247→\t\treturn metric.Frequency, nil\n   248→\t}\n   249→\treturn 0, fmt.Errorf(\"[METRICSTORE]> metric %s not found\", metricName)\n   250→}\n   251→\n   252→// SetNodeProvider sets the NodeProvider implementation for the MemoryStore.\n   253→// This must be called during initialization to provide job state information\n   254→// for selective buffer retention during Free operations.\n   255→// If not set, the Free function will fall back to freeing all buffers.\n   256→func (ms *MemoryStore) SetNodeProvider(provider NodeProvider) {\n   257→\tms.nodeProvider = provider\n   258→}\n   259→\n   260→// Shutdown performs a graceful shutdown of the metric store.\n   261→//\n   262→// This function cancels all background goroutines started by Init() and writes\n   263→// a final checkpoint to disk before returning. It should be called when the\n   264→// application receives a termination signal.\n   265→//\n   266→// The function will:\n   267→//  1. Cancel the context to stop all background workers\n   268→//  2. Close the WAL messages channel if using WAL format\n   269→//  3. Write a final checkpoint to preserve in-memory data\n   270→//  4. Log any errors encountered during shutdown\n   271→//\n   272→// Note: This function blocks until the final checkpoint is written.\n   273→func Shutdown() {\n   274→\tshutdownFuncMu.Lock()\n   275→\tdefer shutdownFuncMu.Unlock()\n   276→\tif shutdownFunc != nil {\n   277→\t\tshutdownFunc()\n   278→\t}\n   279→\n   280→\tif Keys.Checkpoints.FileFormat == \"wal\" {\n   281→\t\tfor _, ch := range walShardChs {\n   282→\t\t\tclose(ch)\n   283→\t\t}\n   284→\t}\n   285→\n   286→\tcclog.Infof(\"[METRICSTORE]> Writing to '%s'...\\n\", Keys.Checkpoints.RootDir)\n   287→\tvar files int\n   288→\tvar err error\n   289→\n   290→\tms := GetMemoryStore()\n   291→\n   292→\tlastCheckpointMu.Lock()\n   293→\tfrom := lastCheckpoint\n   294→\tlastCheckpointMu.Unlock()\n   295→\n   296→\tif Keys.Checkpoints.FileFormat == \"wal\" {\n   297→\t\tvar hostDirs []string\n   298→\t\tfiles, hostDirs, err = ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n   299→\t\tif err == nil {\n   300→\t\t\tRotateWALFilesAfterShutdown(hostDirs)\n   301→\t\t}\n   302→\t} else {\n   303→\t\tfiles, err = ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n   304→\t}\n   305→\n   306→\tif err != nil {\n   307→\t\tcclog.Errorf(\"[METRICSTORE]> Writing checkpoint failed: %s\\n\", err.Error())\n   308→\t}\n   309→\tcclog.Infof(\"[METRICSTORE]> Done! (%d files written)\\n\", files)\n   310→}\n   311→\n   312→// Retention starts a background goroutine that periodically frees old metric data.\n   313→//\n   314→// This worker runs at half the retention interval and calls Free() to remove buffers\n   315→// older than the configured retention time. It respects the NodeProvider to preserve\n   316→// data for nodes with active jobs.\n   317→//\n   318→// Parameters:\n   319→//   - wg: WaitGroup to signal completion when context is cancelled\n   320→//   - ctx: Context for cancellation signal\n   321→//\n   322→// The goroutine exits when ctx is cancelled.\n   323→func Retention(wg *sync.WaitGroup, ctx context.Context) {\n   324→\tms := GetMemoryStore()\n   325→\n   326→\twg.Go(func() {\n   327→\t\td, err := time.ParseDuration(Keys.RetentionInMemory)\n   328→\t\tif err != nil {\n   329→\t\t\tcclog.Fatal(err)\n   330→\t\t}\n   331→\t\tif d <= 0 {\n   332→\t\t\treturn\n   333→\t\t}\n   334→\n   335→\t\ttickInterval := d / 2\n   336→\t\tif tickInterval <= 0 {\n   337→\t\t\treturn\n   338→\t\t}\n   339→\t\tticker := time.NewTicker(tickInterval)\n   340→\t\tdefer ticker.Stop()\n   341→\n   342→\t\tfor {\n   343→\t\t\tselect {\n   344→\t\t\tcase <-ctx.Done():\n   345→\t\t\t\treturn\n   346→\t\t\tcase <-ticker.C:\n   347→\t\t\t\tstate.mu.Lock()\n   348→\n   349→\t\t\t\tt := time.Now().Add(-d)\n   350→\n   351→\t\t\t\tstate.lastRetentionTime = t.Unix()\n   352→\n   353→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start freeing buffers (older than %s)...\\n\", t.Format(time.RFC3339))\n   354→\n   355→\t\t\t\tfreed, err := Free(ms, t)\n   356→\t\t\t\tif err != nil {\n   357→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> freeing up buffers failed: %s\\n\", err.Error())\n   358→\t\t\t\t} else {\n   359→\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d buffers freed\\n\", freed)\n   360→\t\t\t\t}\n   361→\n   362→\t\t\t\tstate.mu.Unlock()\n   363→\n   364→\t\t\t\t// Clean up the buffer pool\n   365→\t\t\t\tbufferPool.Clean(state.lastRetentionTime)\n   366→\t\t\t}\n   367→\t\t}\n   368→\t})\n   369→}\n   370→\n   371→// MemoryUsageTracker starts a background goroutine that monitors memory usage.\n   372→//\n   373→// This worker checks actual process memory usage (via runtime.MemStats) periodically\n   374→// and force-frees buffers if memory exceeds the configured cap. It uses FreeOSMemory()\n   375→// to return memory to the OS after freeing buffers, avoiding aggressive GC that causes\n   376→// performance issues.\n   377→//\n   378→// The tracker logs both actual memory usage (heap allocated) and metric data size for\n   379→// visibility into memory overhead from Go runtime structures and allocations.\n   380→//\n   381→// Parameters:\n   382→//   - wg: WaitGroup to signal completion when context is cancelled\n   383→//   - ctx: Context for cancellation signal\n   384→//\n   385→// The goroutine exits when ctx is cancelled.\n   386→func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n   387→\tms := GetMemoryStore()\n   388→\n   389→\twg.Go(func() {\n   390→\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n   391→\t\tfastInterval := 30 * time.Second\n   392→\n   393→\t\tif normalInterval <= 0 {\n   394→\t\t\treturn\n   395→\t\t}\n   396→\n   397→\t\tticker := time.NewTicker(normalInterval)\n   398→\t\tdefer ticker.Stop()\n   399→\t\tcurrentInterval := normalInterval\n   400→\n   401→\t\tfor {\n   402→\t\t\tselect {\n   403→\t\t\tcase <-ctx.Done():\n   404→\t\t\t\treturn\n   405→\t\t\tcase <-ticker.C:\n   406→\t\t\t\tvar mem runtime.MemStats\n   407→\t\t\t\truntime.ReadMemStats(&mem)\n   408→\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n   409→\t\t\t\tmetricDataGB := ms.SizeInGB()\n   410→\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n   411→\n   412→\t\t\t\tfreedExcluded := 0\n   413→\t\t\t\tfreedEmergency := 0\n   414→\t\t\t\tvar err error\n   415→\n   416→\t\t\t\tstate.mu.RLock()\n   417→\t\t\t\tlastRetention := state.lastRetentionTime\n   418→\t\t\t\tselectorsExcluded := state.selectorsExcluded\n   419→\t\t\t\tstate.mu.RUnlock()\n   420→\n   421→\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n   422→\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n   423→\t\t\t\t\tif err != nil {\n   424→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n   425→\t\t\t\t\t}\n   426→\n   427→\t\t\t\t\tif freedExcluded > 0 {\n   428→\t\t\t\t\t\tdebug.FreeOSMemory()\n   429→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n   430→\t\t\t\t\t}\n   431→\t\t\t\t}\n   432→\n   433→\t\t\t\truntime.ReadMemStats(&mem)\n   434→\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n   435→\n   436→\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n   437→\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n   438→\n   439→\t\t\t\t\t// Use progressive time-based Free with increasing threshold\n   440→\t\t\t\t\t// instead of ForceFree loop — fewer tree traversals, more effective\n   441→\t\t\t\t\td, parseErr := time.ParseDuration(Keys.RetentionInMemory)\n   442→\t\t\t\t\tif parseErr != nil {\n   443→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> cannot parse retention duration: %s\", parseErr)\n   444→\t\t\t\t\t} else {\n   445→\t\t\t\t\t\tthresholds := []float64{0.75, 0.5, 0.25}\n   446→\t\t\t\t\t\tfor _, fraction := range thresholds {\n   447→\t\t\t\t\t\t\tthreshold := time.Now().Add(-time.Duration(float64(d) * fraction))\n   448→\t\t\t\t\t\t\tfreed, freeErr := ms.Free(nil, threshold.Unix())\n   449→\t\t\t\t\t\t\tif freeErr != nil {\n   450→\t\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s\", fraction*100, freeErr)\n   451→\t\t\t\t\t\t\t}\n   452→\t\t\t\t\t\t\tfreedEmergency += freed\n   453→\n   454→\t\t\t\t\t\t\tbufferPool.Clear()\n   455→\t\t\t\t\t\t\truntime.GC()\n   456→\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n   457→\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n   458→\n   459→\t\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n   460→\t\t\t\t\t\t\t\tbreak\n   461→\t\t\t\t\t\t\t}\n   462→\t\t\t\t\t\t}\n   463→\t\t\t\t\t}\n   464→\n   465→\t\t\t\t\tbufferPool.Clear()\n   466→\t\t\t\t\tdebug.FreeOSMemory()\n   467→\n   468→\t\t\t\t\truntime.ReadMemStats(&mem)\n   469→\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n   470→\n   471→\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n   472→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after emergency frees (%d buffers), memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n   473→\t\t\t\t\t} else {\n   474→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n   475→\t\t\t\t\t}\n   476→\t\t\t\t}\n   477→\n   478→\t\t\t\t// Adaptive ticker: check more frequently when memory is high\n   479→\t\t\t\tmemoryRatio := actualMemoryGB / float64(Keys.MemoryCap)\n   480→\t\t\t\tif memoryRatio > 0.8 && currentInterval != fastInterval {\n   481→\t\t\t\t\tticker.Reset(fastInterval)\n   482→\t\t\t\t\tcurrentInterval = fastInterval\n   483→\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)\", memoryRatio*100)\n   484→\t\t\t\t} else if memoryRatio <= 0.8 && currentInterval != normalInterval {\n   485→\t\t\t\t\tticker.Reset(normalInterval)\n   486→\t\t\t\t\tcurrentInterval = normalInterval\n   487→\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval\", memoryRatio*100)\n   488→\t\t\t\t}\n   489→\t\t\t}\n   490→\t\t}\n   491→\t})\n   492→}\n   493→\n   494→// Free removes metric data older than the given time while preserving data for active nodes.\n   495→//\n   496→// This function implements intelligent retention by consulting the NodeProvider (if configured)\n   497→// to determine which nodes are currently in use by running jobs. Data for these nodes is\n   498→// preserved even if older than the retention time.\n   499→//\n   500→// Parameters:\n   501→//   - ms: The MemoryStore instance\n   502→//   - t: Time threshold - buffers with data older than this will be freed\n   503→//\n   504→// Returns:\n   505→//   - Number of buffers freed\n   506→//   - Error if NodeProvider query fails\n   507→//\n   508→// Behavior:\n   509→//   - If no NodeProvider is set: frees all buffers older than t\n   510→//   - If NodeProvider returns empty map: frees all buffers older than t\n   511→//   - Otherwise: preserves buffers for nodes returned by GetUsedNodes(), frees others\n   512→func Free(ms *MemoryStore, t time.Time) (int, error) {\n   513→\t// If no NodeProvider is configured, free all buffers older than t\n   514→\tif ms.nodeProvider == nil {\n   515→\t\treturn ms.Free(nil, t.Unix())\n   516→\t}\n   517→\n   518→\texcludeSelectors, err := ms.nodeProvider.GetUsedNodes(t.Unix())\n   519→\tif err != nil {\n   520→\t\treturn 0, err\n   521→\t}\n   522→\n   523→\tswitch lenMap := len(excludeSelectors); lenMap {\n   524→\n   525→\t// If the length of the map returned by GetUsedNodes() is 0,\n   526→\t// then use default Free method with nil selector\n   527→\tcase 0:\n   528→\t\tstate.selectorsExcluded = false\n   529→\t\treturn ms.Free(nil, t.Unix())\n   530→\n   531→\t// Else formulate selectors, exclude those from the map\n   532→\t// and free the rest of the selectors\n   533→\tdefault:\n   534→\t\tstate.selectorsExcluded = true\n   535→\t\tselectors := GetSelectors(ms, excludeSelectors)\n   536→\t\treturn FreeSelected(ms, selectors, t)\n   537→\t}\n   538→}\n   539→\n   540→// FreeSelected frees buffers for specific selectors while preserving others.\n   541→//\n   542→// This function is used when we want to retain some specific nodes beyond the retention time.\n   543→// It iterates through the provided selectors and frees their associated buffers.\n   544→//\n   545→// Parameters:\n   546→//   - ms: The MemoryStore instance\n   547→//   - selectors: List of selector paths to free (e.g., [[\"cluster1\", \"node1\"], [\"cluster2\", \"node2\"]])\n   548→//   - t: Time threshold for freeing buffers\n   549→//\n   550→// Returns the total number of buffers freed and any error encountered.\n   551→func FreeSelected(ms *MemoryStore, selectors [][]string, t time.Time) (int, error) {\n   552→\tfreed := 0\n   553→\n   554→\tfor _, selector := range selectors {\n   555→\n   556→\t\tfreedBuffers, err := ms.Free(selector, t.Unix())\n   557→\t\tif err != nil {\n   558→\t\t\tcclog.Errorf(\"error while freeing selected buffers: %#v\", err)\n   559→\t\t}\n   560→\t\tfreed += freedBuffers\n   561→\n   562→\t}\n   563→\n   564→\treturn freed, nil\n   565→}\n   566→\n   567→// GetSelectors returns all selectors at depth 2 (cluster/node level) that are NOT in the exclusion map.\n   568→//\n   569→// This function generates a list of selectors whose buffers should be freed by excluding\n   570→// selectors that correspond to nodes currently in use by running jobs.\n   571→//\n   572→// Parameters:\n   573→//   - ms: The MemoryStore instance\n   574→//   - excludeSelectors: Map of cluster names to node hostnames that should NOT be freed\n   575→//\n   576→// Returns a list of selectors ([]string paths) that can be safely freed.\n   577→//\n   578→// Example:\n   579→//\n   580→//\tIf the tree has paths [\"emmy\", \"node001\"] and [\"emmy\", \"node002\"],\n   581→//\tand excludeSelectors contains {\"emmy\": [\"node001\"]},\n   582→//\tthen only [[\"emmy\", \"node002\"]] is returned.\n   583→func GetSelectors(ms *MemoryStore, excludeSelectors map[string][]string) [][]string {\n   584→\tallSelectors := ms.GetPaths(2)\n   585→\n   586→\tfilteredSelectors := make([][]string, 0, len(allSelectors))\n   587→\n   588→\tfor _, path := range allSelectors {\n   589→\t\tif len(path) < 2 {\n   590→\t\t\tcontinue\n   591→\t\t}\n   592→\n   593→\t\tkey := path[0]   // The \"Key\" (Level 1)\n   594→\t\tvalue := path[1] // The \"Value\" (Level 2)\n   595→\n   596→\t\texclude := false\n   597→\n   598→\t\t// Check if the key exists in our exclusion map\n   599→\t\tif excludedValues, exists := excludeSelectors[key]; exists {\n   600→\t\t\t// The key exists, now check if the specific value is in the exclusion list\n   601→\t\t\tif slices.Contains(excludedValues, value) {\n   602→\t\t\t\texclude = true\n   603→\t\t\t}\n   604→\t\t}\n   605→\n   606→\t\tif !exclude {\n   607→\t\t\tfilteredSelectors = append(filteredSelectors, path)\n   608→\t\t}\n   609→\t}\n   610→\n   611→\treturn filteredSelectors\n   612→}\n   613→\n   614→// GetPaths returns a list of lists (paths) to the specified depth.\n   615→func (ms *MemoryStore) GetPaths(targetDepth int) [][]string {\n   616→\tvar results [][]string\n   617→\n   618→\t// Start recursion. Initial path is empty.\n   619→\t// We treat Root as depth 0.\n   620→\tms.root.collectPaths(0, targetDepth, []string{}, &results)\n   621→\n   622→\treturn results\n   623→}\n   624→\n   625→// Write all values in `metrics` to the level specified by `selector` for time `ts`.\n   626→// Look at `findLevelOrCreate` for how selectors work.\n   627→func (m *MemoryStore) Write(selector []string, ts int64, metrics []Metric) error {\n   628→\tvar ok bool\n   629→\tfor i, metric := range metrics {\n   630→\t\tif metric.MetricConfig.Frequency == 0 {\n   631→\t\t\tmetric.MetricConfig, ok = m.Metrics[metric.Name]\n   632→\t\t\tif !ok {\n   633→\t\t\t\tcclog.Debugf(\"[METRICSTORE]> Unknown metric '%s' in Write() - skipping\", metric.Name)\n   634→\t\t\t\tmetric.MetricConfig.Frequency = 0\n   635→\t\t\t}\n   636→\t\t\tmetrics[i] = metric\n   637→\t\t}\n   638→\t}\n   639→\n   640→\treturn m.WriteToLevel(&m.root, selector, ts, metrics)\n   641→}\n   642→\n   643→func (m *MemoryStore) GetLevel(selector []string) *Level {\n   644→\treturn m.root.findLevelOrCreate(selector, len(m.Metrics))\n   645→}\n   646→\n   647→// WriteToLevel assumes that `minfo` in `metrics` is filled in\n   648→func (m *MemoryStore) WriteToLevel(l *Level, selector []string, ts int64, metrics []Metric) error {\n   649→\tl = l.findLevelOrCreate(selector, len(m.Metrics))\n   650→\tl.lock.Lock()\n   651→\tdefer l.lock.Unlock()\n   652→\n   653→\tfor _, metric := range metrics {\n   654→\t\tif metric.MetricConfig.Frequency == 0 {\n   655→\t\t\tcontinue\n   656→\t\t}\n   657→\n   658→\t\tb := l.metrics[metric.MetricConfig.offset]\n   659→\t\tif b == nil {\n   660→\t\t\t// First write to this metric and level\n   661→\t\t\tb = newBuffer(ts, metric.MetricConfig.Frequency)\n   662→\t\t\tl.metrics[metric.MetricConfig.offset] = b\n   663→\t\t}\n   664→\n   665→\t\tnb, err := b.write(ts, metric.Value)\n   666→\t\tif err != nil {\n   667→\t\t\treturn err\n   668→\t\t}\n   669→\n   670→\t\t// Last write created a new buffer...\n   671→\t\tif b != nb {\n   672→\t\t\tl.metrics[metric.MetricConfig.offset] = nb\n   673→\t\t}\n   674→\t}\n   675→\treturn nil\n   676→}\n   677→\n   678→// Read returns all values for metric `metric` from `from` to `to` for the selected level(s).\n   679→// If the level does not hold the metric itself, the data will be aggregated recursively from the children.\n   680→// The second and third return value are the actual from/to for the data. Those can be different from\n   681→// the range asked for if no data was available.\n   682→func (m *MemoryStore) Read(selector util.Selector, metric string, from, to, resolution int64) ([]schema.Float, int64, int64, int64, error) {\n   683→\tif from > to {\n   684→\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid time range\")\n   685→\t}\n   686→\n   687→\tminfo, ok := m.Metrics[metric]\n   688→\tif !ok {\n   689→\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> unknown metric: \" + metric)\n   690→\t}\n   691→\n   692→\tn, data := 0, make([]schema.Float, (to-from)/minfo.Frequency+1)\n   693→\n   694→\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n   695→\t\tcdata, cfrom, cto, err := b.read(from, to, data)\n   696→\t\tif err != nil {\n   697→\t\t\treturn err\n   698→\t\t}\n   699→\n   700→\t\tif n == 0 {\n   701→\t\t\tfrom, to = cfrom, cto\n   702→\t\t} else if from != cfrom || to != cto || len(data) != len(cdata) {\n   703→\t\t\tmissingfront, missingback := int((from-cfrom)/minfo.Frequency), int((to-cto)/minfo.Frequency)\n   704→\t\t\tif missingfront != 0 {\n   705→\t\t\t\treturn ErrDataDoesNotAlign\n   706→\t\t\t}\n   707→\n   708→\t\t\tnewlen := len(cdata) - missingback\n   709→\t\t\tif newlen < 1 {\n   710→\t\t\t\treturn ErrDataDoesNotAlign\n   711→\t\t\t}\n   712→\t\t\tcdata = cdata[0:newlen]\n   713→\t\t\tif len(cdata) != len(data) {\n   714→\t\t\t\treturn ErrDataDoesNotAlign\n   715→\t\t\t}\n   716→\n   717→\t\t\tfrom, to = cfrom, cto\n   718→\t\t}\n   719→\n   720→\t\tdata = cdata\n   721→\t\tn += 1\n   722→\t\treturn nil\n   723→\t})\n   724→\n   725→\tif err != nil {\n   726→\t\treturn nil, 0, 0, 0, err\n   727→\t} else if n == 0 {\n   728→\t\treturn nil, 0, 0, 0, ErrNoHostOrMetric\n   729→\t} else if n > 1 {\n   730→\t\tif minfo.Aggregation == AvgAggregation {\n   731→\t\t\tnormalize := 1. / schema.Float(n)\n   732→\t\t\tfor i := 0; i < len(data); i++ {\n   733→\t\t\t\tdata[i] *= normalize\n   734→\t\t\t}\n   735→\t\t} else if minfo.Aggregation != SumAggregation {\n   736→\t\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid aggregation\")\n   737→\t\t}\n   738→\t}\n   739→\n   740→\tdata, resolution, err = resampler.LargestTriangleThreeBucket(data, minfo.Frequency, resolution)\n   741→\tif err != nil {\n   742→\t\treturn nil, 0, 0, 0, err\n   743→\t}\n   744→\n   745→\treturn data, from, to, resolution, nil\n   746→}\n   747→\n   748→// Free releases all buffers for the selected level and all its children that\n   749→// contain only values older than `t`.\n   750→func (m *MemoryStore) Free(selector []string, t int64) (int, error) {\n   751→\treturn m.GetLevel(selector).free(t)\n   752→}\n   753→\n   754→// ForceFree unconditionally removes the oldest buffer from each metric chain.\n   755→func (m *MemoryStore) ForceFree() (int, error) {\n   756→\treturn m.GetLevel(nil).forceFree()\n   757→}\n   758→\n   759→func (m *MemoryStore) FreeAll() error {\n   760→\tm.root.lock.Lock()\n   761→\tdefer m.root.lock.Unlock()\n   762→\n   763→\tfor k := range m.root.children {\n   764→\t\tdelete(m.root.children, k)\n   765→\t}\n   766→\n   767→\treturn nil\n   768→}\n   769→\n   770→func (m *MemoryStore) SizeInBytes() int64 {\n   771→\treturn m.root.sizeInBytes()\n   772→}\n   773→\n   774→func (m *MemoryStore) SizeInGB() float64 {\n   775→\treturn float64(m.root.sizeInBytes()) / 1e9\n   776→}\n   777→\n   778→// ListChildren , given a selector, returns a list of all children of the level\n   779→// selected.\n   780→func (m *MemoryStore) ListChildren(selector []string) []string {\n   781→\tlvl := &m.root\n   782→\tfor lvl != nil && len(selector) != 0 {\n   783→\t\tlvl.lock.RLock()\n   784→\t\tnext := lvl.children[selector[0]]\n   785→\t\tlvl.lock.RUnlock()\n   786→\t\tlvl = next\n   787→\t\tselector = selector[1:]\n   788→\t}\n   789→\n   790→\tif lvl == nil {\n   791→\t\treturn nil\n   792→\t}\n   793→\n   794→\tlvl.lock.RLock()\n   795→\tdefer lvl.lock.RUnlock()\n   796→\n   797→\tchildren := make([]string, 0, len(lvl.children))\n   798→\tfor child := range lvl.children {\n   799→\t\tchildren = append(children, child)\n   800→\t}\n   801→\n   802→\treturn children\n   803→}\n   804→"}]},"uuid":"179fcf19-aa73-454a-b1e6-ad500a5f692f","timestamp":"2026-03-19T19:46:23.887Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/pkg/metricstore/metricstore.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides an efficient in-memory time-series metric storage system\n// with support for hierarchical data organization, checkpointing, and archiving.\n//\n// The package organizes metrics in a tree structure (cluster → host → component) and\n// provides concurrent read/write access to metric data with configurable aggregation strategies.\n// Background goroutines handle periodic checkpointing (JSON or Avro format), archiving old data,\n// and enforcing retention policies.\n//\n// Key features:\n//   - In-memory metric storage with configurable retention\n//   - Hierarchical data organization (selectors)\n//   - Concurrent checkpoint/archive workers\n//   - Support for sum and average aggregation\n//   - NATS integration for metric ingestion\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"runtime\"\n\t\"runtime/debug\"\n\t\"slices\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// GlobalState holds the global state for the metric store with thread-safe access.\ntype GlobalState struct {\n\tmu                sync.RWMutex\n\tlastRetentionTime int64\n\tselectorsExcluded bool\n}\n\nvar (\n\tsingleton  sync.Once\n\tmsInstance *MemoryStore\n\t// shutdownFunc stores the context cancellation function created in Init\n\t// and is called during Shutdown to cancel all background goroutines\n\tshutdownFunc   context.CancelFunc\n\tshutdownFuncMu sync.Mutex // Protects shutdownFunc from concurrent access\n\t// Create a global instance\n\tstate = &GlobalState{}\n)\n\n// NodeProvider provides information about nodes currently in use by running jobs.\n//\n// This interface allows metricstore to query job information without directly\n// depending on the repository package, breaking the import cycle.\n//\n// Implementations should return nodes that are actively processing jobs started\n// before the given timestamp. These nodes will be excluded from retention-based\n// garbage collection to prevent data loss for jobs that are still running or\n// recently completed.\ntype NodeProvider interface {\n\t// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n\t// that are currently in use by jobs that started before the given timestamp.\n\t//\n\t// Parameters:\n\t//   - ts: Unix timestamp threshold - returns nodes with jobs started before this time\n\t//\n\t// Returns:\n\t//   - Map of cluster names to lists of node hostnames that should be excluded from garbage collection\n\t//   - Error if the query fails\n\tGetUsedNodes(ts int64) (map[string][]string, error)\n}\n\n// Metric represents a single metric data point to be written to the store.\ntype Metric struct {\n\tName  string\n\tValue schema.Float\n\t// MetricConfig contains frequency and aggregation settings for this metric.\n\t// If Frequency is 0, configuration will be looked up from MemoryStore.Metrics during Write().\n\tMetricConfig MetricConfig\n}\n\n// MemoryStore is the main in-memory time-series metric storage implementation.\n//\n// It organizes metrics in a hierarchical tree structure where each level represents\n// a component of the system hierarchy (e.g., cluster → host → CPU). Each level can\n// store multiple metrics as time-series buffers.\n//\n// The store is initialized as a singleton via InitMetrics() and accessed via GetMemoryStore().\n// All public methods are safe for concurrent use.\ntype MemoryStore struct {\n\tMetrics      map[string]MetricConfig\n\troot         Level\n\tnodeProvider NodeProvider\n}\n\n// Init initializes the metric store from configuration and starts background workers.\n//\n// This function must be called exactly once before any other metricstore operations.\n// It performs the following initialization steps:\n//  1. Validates and decodes the metric store configuration\n//  2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n//  3. Loads metric configurations from all registered clusters\n//  4. Restores checkpoints within the retention window\n//  5. Starts background workers for retention, checkpointing, archiving, and monitoring\n//  6. Optionally subscribes to NATS for real-time metric ingestion\n//\n// Parameters:\n//   - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n//   - wg: WaitGroup that will be incremented for each background goroutine started\n//\n// The function will call cclog.Fatal on critical errors during initialization.\n// Use Shutdown() to cleanly stop all background workers started by Init().\n//\n// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n// receiving termination signals to ensure checkpoint data is persisted.\nfunc Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n\tstartupTime := time.Now()\n\n\tif rawConfig != nil {\n\t\tconfig.Validate(configSchema, rawConfig)\n\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n\t\tdec.DisallowUnknownFields()\n\t\tif err := dec.Decode(&Keys); err != nil {\n\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n\t\t}\n\t}\n\n\t// Set NumWorkers from config or use default\n\tif Keys.NumWorkers <= 0 {\n\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n\t}\n\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n\n\t// Pass the config.MetricStoreKeys\n\tInitMetrics(metrics)\n\n\tms := GetMemoryStore()\n\n\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\tif err != nil {\n\t\tcclog.Fatal(err)\n\t}\n\n\trestoreFrom := startupTime.Add(-d)\n\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n\tif err != nil {\n\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n\t} else {\n\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n\t}\n\n\t// Try to use less memory by forcing a GC run here and then\n\t// lowering the target percentage. The default of 100 means\n\t// that only once the ratio of new allocations execeds the\n\t// previously active heap, a GC is triggered.\n\t// Forcing a GC here will set the \"previously active heap\"\n\t// to a minumum.\n\t// runtime.GC()\n\n\tctx, shutdown := context.WithCancel(context.Background())\n\n\tRetention(wg, ctx)\n\tCheckpointing(wg, ctx)\n\tCleanUp(wg, ctx)\n\tWALStaging(wg, ctx)\n\tMemoryUsageTracker(wg, ctx)\n\n\t// Note: Signal handling has been removed from this function.\n\t// The caller is responsible for handling shutdown signals and calling\n\t// the shutdown() function when appropriate.\n\t// Store the shutdown function for later use by Shutdown()\n\tshutdownFuncMu.Lock()\n\tshutdownFunc = shutdown\n\tshutdownFuncMu.Unlock()\n\n\tif Keys.Subscriptions != nil {\n\t\twg.Go(func() {\n\t\t\tif err := ReceiveNats(ms, Keys.NumWorkers, ctx); err != nil {\n\t\t\t\tcclog.Fatal(err)\n\t\t\t}\n\t\t})\n\t}\n}\n\n// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n//\n// This function must be called before GetMemoryStore() and can only be called once due to\n// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n//\n// Parameters:\n//   - metrics: Map of metric names to their configurations (frequency and aggregation strategy)\n//\n// Panics if any metric has Frequency == 0, which indicates an invalid configuration.\n//\n// After this call, the global msInstance is ready for use via GetMemoryStore().\nfunc InitMetrics(metrics map[string]MetricConfig) {\n\tsingleton.Do(func() {\n\t\toffset := 0\n\t\tfor key, cfg := range metrics {\n\t\t\tif cfg.Frequency == 0 {\n\t\t\t\tpanic(\"[METRICSTORE]> invalid frequency\")\n\t\t\t}\n\n\t\t\tmetrics[key] = MetricConfig{\n\t\t\t\tFrequency:   cfg.Frequency,\n\t\t\t\tAggregation: cfg.Aggregation,\n\t\t\t\toffset:      offset,\n\t\t\t}\n\t\t\toffset += 1\n\t\t}\n\n\t\tmsInstance = &MemoryStore{\n\t\t\troot: Level{\n\t\t\t\tmetrics:  make([]*buffer, len(metrics)),\n\t\t\t\tchildren: make(map[string]*Level),\n\t\t\t},\n\t\t\tMetrics: metrics,\n\t\t}\n\t})\n}\n\n// GetMemoryStore returns the singleton MemoryStore instance.\n//\n// Returns the initialized MemoryStore singleton. Calls cclog.Fatal if InitMetrics() was not called first.\n//\n// This function is safe for concurrent use after initialization.\nfunc GetMemoryStore() *MemoryStore {\n\tif msInstance == nil {\n\t\tcclog.Warnf(\"[METRICSTORE]> MemoryStore not initialized!\")\n\t}\n\n\treturn msInstance\n}\n\nfunc (ms *MemoryStore) GetMetricFrequency(metricName string) (int64, error) {\n\tif metric, ok := ms.Metrics[metricName]; ok {\n\t\treturn metric.Frequency, nil\n\t}\n\treturn 0, fmt.Errorf(\"[METRICSTORE]> metric %s not found\", metricName)\n}\n\n// SetNodeProvider sets the NodeProvider implementation for the MemoryStore.\n// This must be called during initialization to provide job state information\n// for selective buffer retention during Free operations.\n// If not set, the Free function will fall back to freeing all buffers.\nfunc (ms *MemoryStore) SetNodeProvider(provider NodeProvider) {\n\tms.nodeProvider = provider\n}\n\n// Shutdown performs a graceful shutdown of the metric store.\n//\n// This function cancels all background goroutines started by Init() and writes\n// a final checkpoint to disk before returning. It should be called when the\n// application receives a termination signal.\n//\n// The function will:\n//  1. Cancel the context to stop all background workers\n//  2. Close the WAL messages channel if using WAL format\n//  3. Write a final checkpoint to preserve in-memory data\n//  4. Log any errors encountered during shutdown\n//\n// Note: This function blocks until the final checkpoint is written.\nfunc Shutdown() {\n\tshutdownFuncMu.Lock()\n\tdefer shutdownFuncMu.Unlock()\n\tif shutdownFunc != nil {\n\t\tshutdownFunc()\n\t}\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tfor _, ch := range walShardChs {\n\t\t\tclose(ch)\n\t\t}\n\t}\n\n\tcclog.Infof(\"[METRICSTORE]> Writing to '%s'...\\n\", Keys.Checkpoints.RootDir)\n\tvar files int\n\tvar err error\n\n\tms := GetMemoryStore()\n\n\tlastCheckpointMu.Lock()\n\tfrom := lastCheckpoint\n\tlastCheckpointMu.Unlock()\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tvar hostDirs []string\n\t\tfiles, hostDirs, err = ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t\tif err == nil {\n\t\t\tRotateWALFilesAfterShutdown(hostDirs)\n\t\t}\n\t} else {\n\t\tfiles, err = ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t}\n\n\tif err != nil {\n\t\tcclog.Errorf(\"[METRICSTORE]> Writing checkpoint failed: %s\\n\", err.Error())\n\t}\n\tcclog.Infof(\"[METRICSTORE]> Done! (%d files written)\\n\", files)\n}\n\n// Retention starts a background goroutine that periodically frees old metric data.\n//\n// This worker runs at half the retention interval and calls Free() to remove buffers\n// older than the configured retention time. It respects the NodeProvider to preserve\n// data for nodes with active jobs.\n//\n// Parameters:\n//   - wg: WaitGroup to signal completion when context is cancelled\n//   - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc Retention(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\ttickInterval := d / 2\n\t\tif tickInterval <= 0 {\n\t\t\treturn\n\t\t}\n\t\tticker := time.NewTicker(tickInterval)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tstate.mu.Lock()\n\n\t\t\t\tt := time.Now().Add(-d)\n\n\t\t\t\tstate.lastRetentionTime = t.Unix()\n\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start freeing buffers (older than %s)...\\n\", t.Format(time.RFC3339))\n\n\t\t\t\tfreed, err := Free(ms, t)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> freeing up buffers failed: %s\\n\", err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d buffers freed\\n\", freed)\n\t\t\t\t}\n\n\t\t\t\tstate.mu.Unlock()\n\n\t\t\t\t// Clean up the buffer pool\n\t\t\t\tbufferPool.Clean(state.lastRetentionTime)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// MemoryUsageTracker starts a background goroutine that monitors memory usage.\n//\n// This worker checks actual process memory usage (via runtime.MemStats) periodically\n// and force-frees buffers if memory exceeds the configured cap. It uses FreeOSMemory()\n// to return memory to the OS after freeing buffers, avoiding aggressive GC that causes\n// performance issues.\n//\n// The tracker logs both actual memory usage (heap allocated) and metric data size for\n// visibility into memory overhead from Go runtime structures and allocations.\n//\n// Parameters:\n//   - wg: WaitGroup to signal completion when context is cancelled\n//   - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n\t\tfastInterval := 30 * time.Second\n\n\t\tif normalInterval <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(normalInterval)\n\t\tdefer ticker.Stop()\n\t\tcurrentInterval := normalInterval\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tvar mem runtime.MemStats\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n\t\t\t\tmetricDataGB := ms.SizeInGB()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n\n\t\t\t\tfreedExcluded := 0\n\t\t\t\tfreedEmergency := 0\n\t\t\t\tvar err error\n\n\t\t\t\tstate.mu.RLock()\n\t\t\t\tlastRetention := state.lastRetentionTime\n\t\t\t\tselectorsExcluded := state.selectorsExcluded\n\t\t\t\tstate.mu.RUnlock()\n\n\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n\t\t\t\t\t}\n\n\t\t\t\t\tif freedExcluded > 0 {\n\t\t\t\t\t\tdebug.FreeOSMemory()\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n\n\t\t\t\t\t// Use progressive time-based Free with increasing threshold\n\t\t\t\t\t// instead of ForceFree loop — fewer tree traversals, more effective\n\t\t\t\t\td, parseErr := time.ParseDuration(Keys.RetentionInMemory)\n\t\t\t\t\tif parseErr != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> cannot parse retention duration: %s\", parseErr)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tthresholds := []float64{0.75, 0.5, 0.25}\n\t\t\t\t\t\tfor _, fraction := range thresholds {\n\t\t\t\t\t\t\tthreshold := time.Now().Add(-time.Duration(float64(d) * fraction))\n\t\t\t\t\t\t\tfreed, freeErr := ms.Free(nil, threshold.Unix())\n\t\t\t\t\t\t\tif freeErr != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s\", fraction*100, freeErr)\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tfreedEmergency += freed\n\n\t\t\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\t\t\truntime.GC()\n\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n\t\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\tdebug.FreeOSMemory()\n\n\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after emergency frees (%d buffers), memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\t// Adaptive ticker: check more frequently when memory is high\n\t\t\t\tmemoryRatio := actualMemoryGB / float64(Keys.MemoryCap)\n\t\t\t\tif memoryRatio > 0.8 && currentInterval != fastInterval {\n\t\t\t\t\tticker.Reset(fastInterval)\n\t\t\t\t\tcurrentInterval = fastInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)\", memoryRatio*100)\n\t\t\t\t} else if memoryRatio <= 0.8 && currentInterval != normalInterval {\n\t\t\t\t\tticker.Reset(normalInterval)\n\t\t\t\t\tcurrentInterval = normalInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval\", memoryRatio*100)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\n// Free removes metric data older than the given time while preserving data for active nodes.\n//\n// This function implements intelligent retention by consulting the NodeProvider (if configured)\n// to determine which nodes are currently in use by running jobs. Data for these nodes is\n// preserved even if older than the retention time.\n//\n// Parameters:\n//   - ms: The MemoryStore instance\n//   - t: Time threshold - buffers with data older than this will be freed\n//\n// Returns:\n//   - Number of buffers freed\n//   - Error if NodeProvider query fails\n//\n// Behavior:\n//   - If no NodeProvider is set: frees all buffers older than t\n//   - If NodeProvider returns empty map: frees all buffers older than t\n//   - Otherwise: preserves buffers for nodes returned by GetUsedNodes(), frees others\nfunc Free(ms *MemoryStore, t time.Time) (int, error) {\n\t// If no NodeProvider is configured, free all buffers older than t\n\tif ms.nodeProvider == nil {\n\t\treturn ms.Free(nil, t.Unix())\n\t}\n\n\texcludeSelectors, err := ms.nodeProvider.GetUsedNodes(t.Unix())\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\tswitch lenMap := len(excludeSelectors); lenMap {\n\n\t// If the length of the map returned by GetUsedNodes() is 0,\n\t// then use default Free method with nil selector\n\tcase 0:\n\t\tstate.selectorsExcluded = false\n\t\treturn ms.Free(nil, t.Unix())\n\n\t// Else formulate selectors, exclude those from the map\n\t// and free the rest of the selectors\n\tdefault:\n\t\tstate.selectorsExcluded = true\n\t\tselectors := GetSelectors(ms, excludeSelectors)\n\t\treturn FreeSelected(ms, selectors, t)\n\t}\n}\n\n// FreeSelected frees buffers for specific selectors while preserving others.\n//\n// This function is used when we want to retain some specific nodes beyond the retention time.\n// It iterates through the provided selectors and frees their associated buffers.\n//\n// Parameters:\n//   - ms: The MemoryStore instance\n//   - selectors: List of selector paths to free (e.g., [[\"cluster1\", \"node1\"], [\"cluster2\", \"node2\"]])\n//   - t: Time threshold for freeing buffers\n//\n// Returns the total number of buffers freed and any error encountered.\nfunc FreeSelected(ms *MemoryStore, selectors [][]string, t time.Time) (int, error) {\n\tfreed := 0\n\n\tfor _, selector := range selectors {\n\n\t\tfreedBuffers, err := ms.Free(selector, t.Unix())\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"error while freeing selected buffers: %#v\", err)\n\t\t}\n\t\tfreed += freedBuffers\n\n\t}\n\n\treturn freed, nil\n}\n\n// GetSelectors returns all selectors at depth 2 (cluster/node level) that are NOT in the exclusion map.\n//\n// This function generates a list of selectors whose buffers should be freed by excluding\n// selectors that correspond to nodes currently in use by running jobs.\n//\n// Parameters:\n//   - ms: The MemoryStore instance\n//   - excludeSelectors: Map of cluster names to node hostnames that should NOT be freed\n//\n// Returns a list of selectors ([]string paths) that can be safely freed.\n//\n// Example:\n//\n//\tIf the tree has paths [\"emmy\", \"node001\"] and [\"emmy\", \"node002\"],\n//\tand excludeSelectors contains {\"emmy\": [\"node001\"]},\n//\tthen only [[\"emmy\", \"node002\"]] is returned.\nfunc GetSelectors(ms *MemoryStore, excludeSelectors map[string][]string) [][]string {\n\tallSelectors := ms.GetPaths(2)\n\n\tfilteredSelectors := make([][]string, 0, len(allSelectors))\n\n\tfor _, path := range allSelectors {\n\t\tif len(path) < 2 {\n\t\t\tcontinue\n\t\t}\n\n\t\tkey := path[0]   // The \"Key\" (Level 1)\n\t\tvalue := path[1] // The \"Value\" (Level 2)\n\n\t\texclude := false\n\n\t\t// Check if the key exists in our exclusion map\n\t\tif excludedValues, exists := excludeSelectors[key]; exists {\n\t\t\t// The key exists, now check if the specific value is in the exclusion list\n\t\t\tif slices.Contains(excludedValues, value) {\n\t\t\t\texclude = true\n\t\t\t}\n\t\t}\n\n\t\tif !exclude {\n\t\t\tfilteredSelectors = append(filteredSelectors, path)\n\t\t}\n\t}\n\n\treturn filteredSelectors\n}\n\n// GetPaths returns a list of lists (paths) to the specified depth.\nfunc (ms *MemoryStore) GetPaths(targetDepth int) [][]string {\n\tvar results [][]string\n\n\t// Start recursion. Initial path is empty.\n\t// We treat Root as depth 0.\n\tms.root.collectPaths(0, targetDepth, []string{}, &results)\n\n\treturn results\n}\n\n// Write all values in `metrics` to the level specified by `selector` for time `ts`.\n// Look at `findLevelOrCreate` for how selectors work.\nfunc (m *MemoryStore) Write(selector []string, ts int64, metrics []Metric) error {\n\tvar ok bool\n\tfor i, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tmetric.MetricConfig, ok = m.Metrics[metric.Name]\n\t\t\tif !ok {\n\t\t\t\tcclog.Debugf(\"[METRICSTORE]> Unknown metric '%s' in Write() - skipping\", metric.Name)\n\t\t\t\tmetric.MetricConfig.Frequency = 0\n\t\t\t}\n\t\t\tmetrics[i] = metric\n\t\t}\n\t}\n\n\treturn m.WriteToLevel(&m.root, selector, ts, metrics)\n}\n\nfunc (m *MemoryStore) GetLevel(selector []string) *Level {\n\treturn m.root.findLevelOrCreate(selector, len(m.Metrics))\n}\n\n// WriteToLevel assumes that `minfo` in `metrics` is filled in\nfunc (m *MemoryStore) WriteToLevel(l *Level, selector []string, ts int64, metrics []Metric) error {\n\tl = l.findLevelOrCreate(selector, len(m.Metrics))\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tfor _, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tcontinue\n\t\t}\n\n\t\tb := l.metrics[metric.MetricConfig.offset]\n\t\tif b == nil {\n\t\t\t// First write to this metric and level\n\t\t\tb = newBuffer(ts, metric.MetricConfig.Frequency)\n\t\t\tl.metrics[metric.MetricConfig.offset] = b\n\t\t}\n\n\t\tnb, err := b.write(ts, metric.Value)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\t// Last write created a new buffer...\n\t\tif b != nb {\n\t\t\tl.metrics[metric.MetricConfig.offset] = nb\n\t\t}\n\t}\n\treturn nil\n}\n\n// Read returns all values for metric `metric` from `from` to `to` for the selected level(s).\n// If the level does not hold the metric itself, the data will be aggregated recursively from the children.\n// The second and third return value are the actual from/to for the data. Those can be different from\n// the range asked for if no data was available.\nfunc (m *MemoryStore) Read(selector util.Selector, metric string, from, to, resolution int64) ([]schema.Float, int64, int64, int64, error) {\n\tif from > to {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid time range\")\n\t}\n\n\tminfo, ok := m.Metrics[metric]\n\tif !ok {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> unknown metric: \" + metric)\n\t}\n\n\tn, data := 0, make([]schema.Float, (to-from)/minfo.Frequency+1)\n\n\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n\t\tcdata, cfrom, cto, err := b.read(from, to, data)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif n == 0 {\n\t\t\tfrom, to = cfrom, cto\n\t\t} else if from != cfrom || to != cto || len(data) != len(cdata) {\n\t\t\tmissingfront, missingback := int((from-cfrom)/minfo.Frequency), int((to-cto)/minfo.Frequency)\n\t\t\tif missingfront != 0 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tnewlen := len(cdata) - missingback\n\t\t\tif newlen < 1 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\t\t\tcdata = cdata[0:newlen]\n\t\t\tif len(cdata) != len(data) {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tfrom, to = cfrom, cto\n\t\t}\n\n\t\tdata = cdata\n\t\tn += 1\n\t\treturn nil\n\t})\n\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t} else if n == 0 {\n\t\treturn nil, 0, 0, 0, ErrNoHostOrMetric\n\t} else if n > 1 {\n\t\tif minfo.Aggregation == AvgAggregation {\n\t\t\tnormalize := 1. / schema.Float(n)\n\t\t\tfor i := 0; i < len(data); i++ {\n\t\t\t\tdata[i] *= normalize\n\t\t\t}\n\t\t} else if minfo.Aggregation != SumAggregation {\n\t\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid aggregation\")\n\t\t}\n\t}\n\n\tdata, resolution, err = resampler.LargestTriangleThreeBucket(data, minfo.Frequency, resolution)\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t}\n\n\treturn data, from, to, resolution, nil\n}\n\n// Free releases all buffers for the selected level and all its children that\n// contain only values older than `t`.\nfunc (m *MemoryStore) Free(selector []string, t int64) (int, error) {\n\treturn m.GetLevel(selector).free(t)\n}\n\n// ForceFree unconditionally removes the oldest buffer from each metric chain.\nfunc (m *MemoryStore) ForceFree() (int, error) {\n\treturn m.GetLevel(nil).forceFree()\n}\n\nfunc (m *MemoryStore) FreeAll() error {\n\tm.root.lock.Lock()\n\tdefer m.root.lock.Unlock()\n\n\tfor k := range m.root.children {\n\t\tdelete(m.root.children, k)\n\t}\n\n\treturn nil\n}\n\nfunc (m *MemoryStore) SizeInBytes() int64 {\n\treturn m.root.sizeInBytes()\n}\n\nfunc (m *MemoryStore) SizeInGB() float64 {\n\treturn float64(m.root.sizeInBytes()) / 1e9\n}\n\n// ListChildren , given a selector, returns a list of all children of the level\n// selected.\nfunc (m *MemoryStore) ListChildren(selector []string) []string {\n\tlvl := &m.root\n\tfor lvl != nil && len(selector) != 0 {\n\t\tlvl.lock.RLock()\n\t\tnext := lvl.children[selector[0]]\n\t\tlvl.lock.RUnlock()\n\t\tlvl = next\n\t\tselector = selector[1:]\n\t}\n\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\tlvl.lock.RLock()\n\tdefer lvl.lock.RUnlock()\n\n\tchildren := make([]string, 0, len(lvl.children))\n\tfor child := range lvl.children {\n\t\tchildren = append(children, child)\n\t}\n\n\treturn children\n}\n","numLines":804,"startLine":1,"totalLines":804}},"sourceToolAssistantUUID":"6918159d-98ed-47a5-9717-1c88e0e885f6","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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+{"parentUuid":"f5f70f75-e3f0-4a2e-a1f6-8070a59f0611","isSidechain":false,"promptId":"1c46e1b2-ade5-44be-90d9-e93109c02833","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019bNBWigLiGdX8oKM2pnvE2","type":"tool_result","content":"     1→module github.com/ClusterCockpit/cc-backend\n     2→\n     3→go 1.25.0\n     4→\n     5→tool (\n     6→\tgithub.com/99designs/gqlgen\n     7→\tgithub.com/swaggo/swag/cmd/swag\n     8→)\n     9→\n    10→require (\n    11→\tgithub.com/99designs/gqlgen v0.17.88\n    12→\tgithub.com/ClusterCockpit/cc-lib/v2 v2.9.1\n    13→\tgithub.com/ClusterCockpit/cc-line-protocol/v2 v2.4.0\n    14→\tgithub.com/Masterminds/squirrel v1.5.4\n    15→\tgithub.com/aws/aws-sdk-go-v2 v1.41.3\n    16→\tgithub.com/aws/aws-sdk-go-v2/config v1.32.11\n    17→\tgithub.com/aws/aws-sdk-go-v2/credentials v1.19.11\n    18→\tgithub.com/aws/aws-sdk-go-v2/service/s3 v1.97.0\n    19→\tgithub.com/coreos/go-oidc/v3 v3.17.0\n    20→\tgithub.com/expr-lang/expr v1.17.8\n    21→\tgithub.com/go-chi/chi/v5 v5.2.5\n    22→\tgithub.com/go-chi/cors v1.2.2\n    23→\tgithub.com/go-co-op/gocron/v2 v2.19.1\n    24→\tgithub.com/go-ldap/ldap/v3 v3.4.12\n    25→\tgithub.com/golang-jwt/jwt/v5 v5.3.1\n    26→\tgithub.com/golang-migrate/migrate/v4 v4.19.1\n    27→\tgithub.com/google/gops v0.3.29\n    28→\tgithub.com/gorilla/sessions v1.4.0\n    29→\tgithub.com/jmoiron/sqlx v1.4.0\n    30→\tgithub.com/joho/godotenv v1.5.1\n    31→\tgithub.com/mattn/go-sqlite3 v1.14.34\n    32→\tgithub.com/parquet-go/parquet-go v0.29.0\n    33→\tgithub.com/qustavo/sqlhooks/v2 v2.1.0\n    34→\tgithub.com/santhosh-tekuri/jsonschema/v5 v5.3.1\n    35→\tgithub.com/stretchr/testify v1.11.1\n    36→\tgithub.com/swaggo/http-swagger v1.3.4\n    37→\tgithub.com/swaggo/swag v1.16.6\n    38→\tgithub.com/vektah/gqlparser/v2 v2.5.32\n    39→\tgolang.org/x/crypto v0.49.0\n    40→\tgolang.org/x/oauth2 v0.36.0\n    41→\tgolang.org/x/sync v0.20.0\n    42→\tgolang.org/x/time v0.15.0\n    43→)\n    44→\n    45→require (\n    46→\tgithub.com/Azure/go-ntlmssp v0.1.0 // indirect\n    47→\tgithub.com/KyleBanks/depth v1.2.1 // indirect\n    48→\tgithub.com/agnivade/levenshtein v1.2.1 // indirect\n    49→\tgithub.com/andybalholm/brotli v1.2.0 // indirect\n    50→\tgithub.com/apapsch/go-jsonmerge/v2 v2.0.0 // indirect\n    51→\tgithub.com/aws/aws-sdk-go-v2/aws/protocol/eventstream v1.7.6 // indirect\n    52→\tgithub.com/aws/aws-sdk-go-v2/feature/ec2/imds v1.18.19 // indirect\n    53→\tgithub.com/aws/aws-sdk-go-v2/internal/configsources v1.4.19 // indirect\n    54→\tgithub.com/aws/aws-sdk-go-v2/internal/endpoints/v2 v2.7.19 // indirect\n    55→\tgithub.com/aws/aws-sdk-go-v2/internal/ini v1.8.5 // indirect\n    56→\tgithub.com/aws/aws-sdk-go-v2/internal/v4a v1.4.20 // indirect\n    57→\tgithub.com/aws/aws-sdk-go-v2/service/internal/accept-encoding v1.13.6 // indirect\n    58→\tgithub.com/aws/aws-sdk-go-v2/service/internal/checksum v1.9.11 // indirect\n    59→\tgithub.com/aws/aws-sdk-go-v2/service/internal/presigned-url v1.13.19 // indirect\n    60→\tgithub.com/aws/aws-sdk-go-v2/service/internal/s3shared v1.19.19 // indirect\n    61→\tgithub.com/aws/aws-sdk-go-v2/service/signin v1.0.7 // indirect\n    62→\tgithub.com/aws/aws-sdk-go-v2/service/sso v1.30.12 // indirect\n    63→\tgithub.com/aws/aws-sdk-go-v2/service/ssooidc v1.35.16 // indirect\n    64→\tgithub.com/aws/aws-sdk-go-v2/service/sts v1.41.8 // indirect\n    65→\tgithub.com/aws/smithy-go v1.24.2 // indirect\n    66→\tgithub.com/cpuguy83/go-md2man/v2 v2.0.7 // indirect\n    67→\tgithub.com/davecgh/go-spew v1.1.2-0.20180830191138-d8f796af33cc // indirect\n    68→\tgithub.com/fsnotify/fsnotify v1.9.0 // indirect\n    69→\tgithub.com/go-asn1-ber/asn1-ber v1.5.8-0.20250403174932-29230038a667 // indirect\n    70→\tgithub.com/go-jose/go-jose/v4 v4.1.3 // indirect\n    71→\tgithub.com/go-openapi/jsonpointer v0.22.5 // indirect\n    72→\tgithub.com/go-openapi/jsonreference v0.21.5 // indirect\n    73→\tgithub.com/go-openapi/spec v0.22.4 // indirect\n    74→\tgithub.com/go-openapi/swag/conv v0.25.5 // indirect\n    75→\tgithub.com/go-openapi/swag/jsonname v0.25.5 // indirect\n    76→\tgithub.com/go-openapi/swag/jsonutils v0.25.5 // indirect\n    77→\tgithub.com/go-openapi/swag/loading v0.25.5 // indirect\n    78→\tgithub.com/go-openapi/swag/stringutils v0.25.5 // indirect\n    79→\tgithub.com/go-openapi/swag/typeutils v0.25.5 // indirect\n    80→\tgithub.com/go-openapi/swag/yamlutils v0.25.5 // indirect\n    81→\tgithub.com/go-viper/mapstructure/v2 v2.5.0 // indirect\n    82→\tgithub.com/goccy/go-yaml v1.19.2 // indirect\n    83→\tgithub.com/google/uuid v1.6.0 // indirect\n    84→\tgithub.com/gorilla/securecookie v1.1.2 // indirect\n    85→\tgithub.com/gorilla/websocket v1.5.3 // indirect\n    86→\tgithub.com/hashicorp/golang-lru/v2 v2.0.7 // indirect\n    87→\tgithub.com/influxdata/influxdb-client-go/v2 v2.14.0 // indirect\n    88→\tgithub.com/influxdata/line-protocol v0.0.0-20210922203350-b1ad95c89adf // indirect\n    89→\tgithub.com/jonboulle/clockwork v0.5.0 // indirect\n    90→\tgithub.com/klauspost/compress v1.18.4 // indirect\n    91→\tgithub.com/kr/pretty v0.3.1 // indirect\n    92→\tgithub.com/lann/builder v0.0.0-20180802200727-47ae307949d0 // indirect\n    93→\tgithub.com/lann/ps v0.0.0-20150810152359-62de8c46ede0 // indirect\n    94→\tgithub.com/nats-io/nats.go v1.49.0 // indirect\n    95→\tgithub.com/nats-io/nkeys v0.4.15 // indirect\n    96→\tgithub.com/nats-io/nuid v1.0.1 // indirect\n    97→\tgithub.com/oapi-codegen/runtime v1.2.0 // indirect\n    98→\tgithub.com/parquet-go/bitpack v1.0.0 // indirect\n    99→\tgithub.com/parquet-go/jsonlite v1.4.0 // indirect\n   100→\tgithub.com/pierrec/lz4/v4 v4.1.26 // indirect\n   101→\tgithub.com/pmezard/go-difflib v1.0.1-0.20181226105442-5d4384ee4fb2 // indirect\n   102→\tgithub.com/robfig/cron/v3 v3.0.1 // indirect\n   103→\tgithub.com/rogpeppe/go-internal v1.10.0 // indirect\n   104→\tgithub.com/russross/blackfriday/v2 v2.1.0 // indirect\n   105→\tgithub.com/sosodev/duration v1.4.0 // indirect\n   106→\tgithub.com/stmcginnis/gofish v0.21.4 // indirect\n   107→\tgithub.com/stretchr/objx v0.5.2 // indirect\n   108→\tgithub.com/swaggo/files v1.0.1 // indirect\n   109→\tgithub.com/twpayne/go-geom v1.6.1 // indirect\n   110→\tgithub.com/urfave/cli/v2 v2.27.7 // indirect\n   111→\tgithub.com/urfave/cli/v3 v3.7.0 // indirect\n   112→\tgithub.com/xrash/smetrics v0.0.0-20250705151800-55b8f293f342 // indirect\n   113→\tgo.yaml.in/yaml/v2 v2.4.3 // indirect\n   114→\tgo.yaml.in/yaml/v3 v3.0.4 // indirect\n   115→\tgolang.org/x/mod v0.34.0 // indirect\n   116→\tgolang.org/x/net v0.52.0 // indirect\n   117→\tgolang.org/x/sys v0.42.0 // indirect\n   118→\tgolang.org/x/text v0.35.0 // indirect\n   119→\tgolang.org/x/tools v0.43.0 // indirect\n   120→\tgoogle.golang.org/protobuf v1.36.11 // indirect\n   121→\tgopkg.in/yaml.v3 v3.0.1 // indirect\n   122→\tsigs.k8s.io/yaml v1.6.0 // indirect\n   123→)\n   124→"}]},"uuid":"dc0ddff5-c73d-4daf-8a79-92776d512e94","timestamp":"2026-03-19T19:46:24.682Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/go.mod","content":"module github.com/ClusterCockpit/cc-backend\n\ngo 1.25.0\n\ntool (\n\tgithub.com/99designs/gqlgen\n\tgithub.com/swaggo/swag/cmd/swag\n)\n\nrequire (\n\tgithub.com/99designs/gqlgen v0.17.88\n\tgithub.com/ClusterCockpit/cc-lib/v2 v2.9.1\n\tgithub.com/ClusterCockpit/cc-line-protocol/v2 v2.4.0\n\tgithub.com/Masterminds/squirrel v1.5.4\n\tgithub.com/aws/aws-sdk-go-v2 v1.41.3\n\tgithub.com/aws/aws-sdk-go-v2/config v1.32.11\n\tgithub.com/aws/aws-sdk-go-v2/credentials v1.19.11\n\tgithub.com/aws/aws-sdk-go-v2/service/s3 v1.97.0\n\tgithub.com/coreos/go-oidc/v3 v3.17.0\n\tgithub.com/expr-lang/expr v1.17.8\n\tgithub.com/go-chi/chi/v5 v5.2.5\n\tgithub.com/go-chi/cors v1.2.2\n\tgithub.com/go-co-op/gocron/v2 v2.19.1\n\tgithub.com/go-ldap/ldap/v3 v3.4.12\n\tgithub.com/golang-jwt/jwt/v5 v5.3.1\n\tgithub.com/golang-migrate/migrate/v4 v4.19.1\n\tgithub.com/google/gops v0.3.29\n\tgithub.com/gorilla/sessions v1.4.0\n\tgithub.com/jmoiron/sqlx v1.4.0\n\tgithub.com/joho/godotenv v1.5.1\n\tgithub.com/mattn/go-sqlite3 v1.14.34\n\tgithub.com/parquet-go/parquet-go v0.29.0\n\tgithub.com/qustavo/sqlhooks/v2 v2.1.0\n\tgithub.com/santhosh-tekuri/jsonschema/v5 v5.3.1\n\tgithub.com/stretchr/testify v1.11.1\n\tgithub.com/swaggo/http-swagger v1.3.4\n\tgithub.com/swaggo/swag v1.16.6\n\tgithub.com/vektah/gqlparser/v2 v2.5.32\n\tgolang.org/x/crypto v0.49.0\n\tgolang.org/x/oauth2 v0.36.0\n\tgolang.org/x/sync v0.20.0\n\tgolang.org/x/time v0.15.0\n)\n\nrequire (\n\tgithub.com/Azure/go-ntlmssp v0.1.0 // indirect\n\tgithub.com/KyleBanks/depth v1.2.1 // indirect\n\tgithub.com/agnivade/levenshtein v1.2.1 // indirect\n\tgithub.com/andybalholm/brotli v1.2.0 // indirect\n\tgithub.com/apapsch/go-jsonmerge/v2 v2.0.0 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/aws/protocol/eventstream v1.7.6 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/feature/ec2/imds v1.18.19 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/internal/configsources v1.4.19 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/internal/endpoints/v2 v2.7.19 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/internal/ini v1.8.5 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/internal/v4a v1.4.20 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/service/internal/accept-encoding v1.13.6 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/service/internal/checksum v1.9.11 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/service/internal/presigned-url v1.13.19 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/service/internal/s3shared v1.19.19 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/service/signin v1.0.7 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/service/sso v1.30.12 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/service/ssooidc v1.35.16 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/service/sts v1.41.8 // indirect\n\tgithub.com/aws/smithy-go v1.24.2 // indirect\n\tgithub.com/cpuguy83/go-md2man/v2 v2.0.7 // indirect\n\tgithub.com/davecgh/go-spew v1.1.2-0.20180830191138-d8f796af33cc // indirect\n\tgithub.com/fsnotify/fsnotify v1.9.0 // indirect\n\tgithub.com/go-asn1-ber/asn1-ber v1.5.8-0.20250403174932-29230038a667 // indirect\n\tgithub.com/go-jose/go-jose/v4 v4.1.3 // indirect\n\tgithub.com/go-openapi/jsonpointer v0.22.5 // indirect\n\tgithub.com/go-openapi/jsonreference v0.21.5 // indirect\n\tgithub.com/go-openapi/spec v0.22.4 // indirect\n\tgithub.com/go-openapi/swag/conv v0.25.5 // indirect\n\tgithub.com/go-openapi/swag/jsonname v0.25.5 // indirect\n\tgithub.com/go-openapi/swag/jsonutils v0.25.5 // indirect\n\tgithub.com/go-openapi/swag/loading v0.25.5 // indirect\n\tgithub.com/go-openapi/swag/stringutils v0.25.5 // indirect\n\tgithub.com/go-openapi/swag/typeutils v0.25.5 // indirect\n\tgithub.com/go-openapi/swag/yamlutils v0.25.5 // indirect\n\tgithub.com/go-viper/mapstructure/v2 v2.5.0 // indirect\n\tgithub.com/goccy/go-yaml v1.19.2 // indirect\n\tgithub.com/google/uuid v1.6.0 // indirect\n\tgithub.com/gorilla/securecookie v1.1.2 // indirect\n\tgithub.com/gorilla/websocket v1.5.3 // indirect\n\tgithub.com/hashicorp/golang-lru/v2 v2.0.7 // indirect\n\tgithub.com/influxdata/influxdb-client-go/v2 v2.14.0 // indirect\n\tgithub.com/influxdata/line-protocol v0.0.0-20210922203350-b1ad95c89adf // indirect\n\tgithub.com/jonboulle/clockwork v0.5.0 // indirect\n\tgithub.com/klauspost/compress v1.18.4 // indirect\n\tgithub.com/kr/pretty v0.3.1 // indirect\n\tgithub.com/lann/builder v0.0.0-20180802200727-47ae307949d0 // indirect\n\tgithub.com/lann/ps v0.0.0-20150810152359-62de8c46ede0 // indirect\n\tgithub.com/nats-io/nats.go v1.49.0 // indirect\n\tgithub.com/nats-io/nkeys v0.4.15 // indirect\n\tgithub.com/nats-io/nuid v1.0.1 // indirect\n\tgithub.com/oapi-codegen/runtime v1.2.0 // indirect\n\tgithub.com/parquet-go/bitpack v1.0.0 // indirect\n\tgithub.com/parquet-go/jsonlite v1.4.0 // indirect\n\tgithub.com/pierrec/lz4/v4 v4.1.26 // indirect\n\tgithub.com/pmezard/go-difflib v1.0.1-0.20181226105442-5d4384ee4fb2 // indirect\n\tgithub.com/robfig/cron/v3 v3.0.1 // indirect\n\tgithub.com/rogpeppe/go-internal v1.10.0 // indirect\n\tgithub.com/russross/blackfriday/v2 v2.1.0 // indirect\n\tgithub.com/sosodev/duration v1.4.0 // indirect\n\tgithub.com/stmcginnis/gofish v0.21.4 // indirect\n\tgithub.com/stretchr/objx v0.5.2 // indirect\n\tgithub.com/swaggo/files v1.0.1 // indirect\n\tgithub.com/twpayne/go-geom v1.6.1 // indirect\n\tgithub.com/urfave/cli/v2 v2.27.7 // indirect\n\tgithub.com/urfave/cli/v3 v3.7.0 // indirect\n\tgithub.com/xrash/smetrics v0.0.0-20250705151800-55b8f293f342 // indirect\n\tgo.yaml.in/yaml/v2 v2.4.3 // indirect\n\tgo.yaml.in/yaml/v3 v3.0.4 // indirect\n\tgolang.org/x/mod v0.34.0 // indirect\n\tgolang.org/x/net v0.52.0 // indirect\n\tgolang.org/x/sys v0.42.0 // indirect\n\tgolang.org/x/text v0.35.0 // indirect\n\tgolang.org/x/tools v0.43.0 // indirect\n\tgoogle.golang.org/protobuf v1.36.11 // indirect\n\tgopkg.in/yaml.v3 v3.0.1 // indirect\n\tsigs.k8s.io/yaml v1.6.0 // indirect\n)\n","numLines":124,"startLine":1,"totalLines":124}},"sourceToolAssistantUUID":"f5f70f75-e3f0-4a2e-a1f6-8070a59f0611","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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+{"parentUuid":"5734c09b-ab74-4c3b-965d-149fbfd45518","isSidechain":false,"promptId":"1c46e1b2-ade5-44be-90d9-e93109c02833","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016pZH3KTZGFHzsUeP15nDrN","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// This file implements high-level query functions for loading job metric data\n     7→// with automatic scope transformation and aggregation.\n     8→//\n     9→// Key Concepts:\n    10→//\n    11→// Metric Scopes: Metrics are collected at different granularities (native scope):\n    12→//   - HWThread: Per hardware thread\n    13→//   - Core: Per CPU core\n    14→//   - Socket: Per CPU socket\n    15→//   - MemoryDomain: Per memory domain (NUMA)\n    16→//   - Accelerator: Per GPU/accelerator\n    17→//   - Node: Per compute node\n    18→//\n    19→// Scope Transformation: The buildQueries functions transform between native scope\n    20→// and requested scope by:\n    21→//   - Aggregating finer-grained data (e.g., HWThread → Core → Socket → Node)\n    22→//   - Rejecting requests for finer granularity than available\n    23→//   - Handling special cases (e.g., Accelerator metrics)\n    24→//\n    25→// Query Building: Constructs APIQuery structures with proper selectors (Type, TypeIds)\n    26→// based on cluster topology and job resources.\n    27→package metricstore\n    28→\n    29→import (\n    30→\t\"context\"\n    31→\t\"fmt\"\n    32→\t\"strings\"\n    33→\t\"time\"\n    34→\n    35→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    36→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    37→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    38→)\n    39→\n    40→type InternalMetricStore struct{}\n    41→\n    42→var MetricStoreHandle *InternalMetricStore\n    43→\n    44→// HealthCheck delegates to the internal MemoryStore's HealthCheck.\n    45→func (ccms *InternalMetricStore) HealthCheck(cluster string,\n    46→\tnodes []string, metrics []string,\n    47→) (map[string]HealthCheckResult, error) {\n    48→\treturn GetMemoryStore().HealthCheck(cluster, nodes, metrics)\n    49→}\n    50→\n    51→// TestLoadDataCallback allows tests to override LoadData behavior for testing purposes.\n    52→// When set to a non-nil function, LoadData will call this function instead of the default implementation.\n    53→var TestLoadDataCallback func(job *schema.Job, metrics []string, scopes []schema.MetricScope, ctx context.Context, resolution int) (schema.JobData, error)\n    54→\n    55→// LoadData loads metric data for a specific job with automatic scope transformation.\n    56→//\n    57→// This is the primary function for retrieving job metric data. It handles:\n    58→//   - Building queries with scope transformation via buildQueries\n    59→//   - Fetching data from the metric store\n    60→//   - Organizing results by metric and scope\n    61→//   - Converting NaN statistics to 0 for JSON compatibility\n    62→//   - Partial error handling (returns data for successful queries even if some fail)\n    63→//\n    64→// Parameters:\n    65→//   - job: Job metadata including cluster, resources, and time range\n    66→//   - metrics: List of metric names to load\n    67→//   - scopes: Requested metric scopes (will be transformed to match native scopes)\n    68→//   - ctx: Context for cancellation (currently unused but reserved for future use)\n    69→//   - resolution: Data resolution in seconds (0 for native resolution)\n    70→//\n    71→// Returns:\n    72→//   - JobData: Map of metric → scope → JobMetric with time-series data and statistics\n    73→//   - Error: Returns error if query building or fetching fails, or partial error listing failed hosts\n    74→//\n    75→// Example:\n    76→//\n    77→//\tjobData, err := LoadData(job, []string{\"cpu_load\", \"mem_used\"}, []schema.MetricScope{schema.MetricScopeNode}, ctx, 60)\n    78→func (ccms *InternalMetricStore) LoadData(\n    79→\tjob *schema.Job,\n    80→\tmetrics []string,\n    81→\tscopes []schema.MetricScope,\n    82→\tctx context.Context,\n    83→\tresolution int,\n    84→) (schema.JobData, error) {\n    85→\tif TestLoadDataCallback != nil {\n    86→\t\treturn TestLoadDataCallback(job, metrics, scopes, ctx, resolution)\n    87→\t}\n    88→\n    89→\tqueries, assignedScope, err := buildQueries(job, metrics, scopes, int64(resolution))\n    90→\tif err != nil {\n    91→\t\tcclog.Errorf(\"Error while building queries for jobId %d, Metrics %v, Scopes %v: %s\", job.JobID, metrics, scopes, err.Error())\n    92→\t\treturn nil, err\n    93→\t}\n    94→\n    95→\t// Verify assignment is correct - log any inconsistencies for debugging\n    96→\tif len(queries) != len(assignedScope) {\n    97→\t\tcclog.Errorf(\"Critical error: queries and assignedScope have different lengths after buildQueries: %d vs %d\",\n    98→\t\t\tlen(queries), len(assignedScope))\n    99→\t}\n   100→\n   101→\treq := APIQueryRequest{\n   102→\t\tCluster:   job.Cluster,\n   103→\t\tFrom:      job.StartTime,\n   104→\t\tTo:        job.StartTime + int64(job.Duration),\n   105→\t\tQueries:   queries,\n   106→\t\tWithStats: true,\n   107→\t\tWithData:  true,\n   108→\t}\n   109→\n   110→\tresBody, err := FetchData(req)\n   111→\tif err != nil {\n   112→\t\tcclog.Errorf(\"Error while fetching data : %s\", err.Error())\n   113→\t\treturn nil, err\n   114→\t}\n   115→\n   116→\tvar errors []string\n   117→\tjobData := make(schema.JobData)\n   118→\n   119→\t// Add safety check for potential index out of range errors\n   120→\tif len(resBody.Results) != len(req.Queries) || len(assignedScope) != len(req.Queries) {\n   121→\t\tcclog.Warnf(\"Mismatch in query results count: queries=%d, results=%d, assignedScope=%d\",\n   122→\t\t\tlen(req.Queries), len(resBody.Results), len(assignedScope))\n   123→\t\tif len(resBody.Results) > len(req.Queries) {\n   124→\t\t\tresBody.Results = resBody.Results[:len(req.Queries)]\n   125→\t\t}\n   126→\t\tif len(assignedScope) > len(req.Queries) {\n   127→\t\t\tassignedScope = assignedScope[:len(req.Queries)]\n   128→\t\t}\n   129→\t}\n   130→\n   131→\tfor i, row := range resBody.Results {\n   132→\t\tquery := req.Queries[i]\n   133→\t\tmetric := query.Metric\n   134→\t\tscope := assignedScope[i]\n   135→\t\tmc := archive.GetMetricConfig(job.Cluster, metric)\n   136→\n   137→\t\tif mc == nil {\n   138→\t\t\tcclog.Warnf(\"Metric config not found for %s on cluster %s\", metric, job.Cluster)\n   139→\t\t\tcontinue\n   140→\t\t}\n   141→\n   142→\t\tif _, ok := jobData[metric]; !ok {\n   143→\t\t\tjobData[metric] = make(map[schema.MetricScope]*schema.JobMetric)\n   144→\t\t}\n   145→\n   146→\t\tres := mc.Timestep\n   147→\t\tif len(row) > 0 {\n   148→\t\t\tres = int(row[0].Resolution)\n   149→\t\t}\n   150→\n   151→\t\tjobMetric, ok := jobData[metric][scope]\n   152→\t\tif !ok {\n   153→\t\t\tjobMetric = &schema.JobMetric{\n   154→\t\t\t\tUnit:     mc.Unit,\n   155→\t\t\t\tTimestep: res,\n   156→\t\t\t\tSeries:   make([]schema.Series, 0),\n   157→\t\t\t}\n   158→\t\t\tjobData[metric][scope] = jobMetric\n   159→\t\t}\n   160→\n   161→\t\tfor ndx, res := range row {\n   162→\t\t\tif res.Error != nil {\n   163→\t\t\t\t/* Build list for \"partial errors\", if any */\n   164→\t\t\t\terrors = append(errors, fmt.Sprintf(\"failed to fetch '%s' from host '%s': %s\", query.Metric, query.Hostname, *res.Error))\n   165→\t\t\t\tcontinue\n   166→\t\t\t}\n   167→\n   168→\t\t\tid := ExtractTypeID(query.Type, query.TypeIds, ndx, query.Metric, query.Hostname)\n   169→\n   170→\t\t\tSanitizeStats(&res.Avg, &res.Min, &res.Max)\n   171→\n   172→\t\t\tjobMetric.Series = append(jobMetric.Series, schema.Series{\n   173→\t\t\t\tHostname: query.Hostname,\n   174→\t\t\t\tID:       id,\n   175→\t\t\t\tStatistics: schema.MetricStatistics{\n   176→\t\t\t\t\tAvg: float64(res.Avg),\n   177→\t\t\t\t\tMin: float64(res.Min),\n   178→\t\t\t\t\tMax: float64(res.Max),\n   179→\t\t\t\t},\n   180→\t\t\t\tData: res.Data,\n   181→\t\t\t})\n   182→\t\t}\n   183→\n   184→\t\t// So that one can later check len(jobData):\n   185→\t\tif len(jobMetric.Series) == 0 {\n   186→\t\t\tdelete(jobData[metric], scope)\n   187→\t\t\tif len(jobData[metric]) == 0 {\n   188→\t\t\t\tdelete(jobData, metric)\n   189→\t\t\t}\n   190→\t\t}\n   191→\t}\n   192→\n   193→\tif len(errors) != 0 {\n   194→\t\t/* Returns list for \"partial errors\" */\n   195→\t\treturn jobData, fmt.Errorf(\"METRICDATA/INTERNAL-CCMS > Errors: %s\", strings.Join(errors, \", \"))\n   196→\t}\n   197→\treturn jobData, nil\n   198→}\n   199→\n   200→// buildQueries constructs APIQuery structures with automatic scope transformation for a job.\n   201→//\n   202→// This function implements the core scope transformation logic, handling all combinations of\n   203→// native metric scopes and requested scopes. It uses the cluster topology to determine which\n   204→// hardware IDs to include in each query.\n   205→//\n   206→// Scope Transformation Rules:\n   207→//   - If native scope >= requested scope: Aggregates data (Aggregate=true in APIQuery)\n   208→//   - If native scope < requested scope: Returns error (cannot increase granularity)\n   209→//   - Special handling for Accelerator scope (independent of CPU hierarchy)\n   210→//\n   211→// The function generates one or more APIQuery per (metric, scope, host) combination:\n   212→//   - For non-aggregated queries: One query with all relevant IDs\n   213→//   - For aggregated queries: May generate multiple queries (e.g., one per socket/core)\n   214→//\n   215→// Parameters:\n   216→//   - job: Job metadata including cluster, subcluster, and resource allocation\n   217→//   - metrics: List of metrics to query\n   218→//   - scopes: Requested scopes for each metric\n   219→//   - resolution: Data resolution in seconds\n   220→//\n   221→// Returns:\n   222→//   - []APIQuery: List of queries to execute\n   223→//   - []schema.MetricScope: Assigned scope for each query (after transformation)\n   224→//   - error: Returns error if topology lookup fails or unhandled scope combination encountered\n   225→func buildQueries(\n   226→\tjob *schema.Job,\n   227→\tmetrics []string,\n   228→\tscopes []schema.MetricScope,\n   229→\tresolution int64,\n   230→) ([]APIQuery, []schema.MetricScope, error) {\n   231→\tif len(job.Resources) == 0 {\n   232→\t\treturn nil, nil, fmt.Errorf(\"METRICDATA/INTERNAL-CCMS > no resources allocated for job %d\", job.JobID)\n   233→\t}\n   234→\n   235→\tqueries := make([]APIQuery, 0, len(metrics)*len(scopes)*len(job.Resources))\n   236→\tassignedScope := make([]schema.MetricScope, 0, len(metrics)*len(scopes)*len(job.Resources))\n   237→\n   238→\tsubcluster, scerr := archive.GetSubCluster(job.Cluster, job.SubCluster)\n   239→\tif scerr != nil {\n   240→\t\treturn nil, nil, scerr\n   241→\t}\n   242→\ttopology := subcluster.Topology\n   243→\n   244→\tfor _, metric := range metrics {\n   245→\t\tmc := archive.GetMetricConfig(job.Cluster, metric)\n   246→\t\tif mc == nil {\n   247→\t\t\tcclog.Warnf(\"metric '%s' is not specified for cluster '%s'\", metric, job.Cluster)\n   248→\t\t\tcontinue\n   249→\t\t}\n   250→\n   251→\t\t// Skip if metric is removed for subcluster\n   252→\t\tif len(mc.SubClusters) != 0 && IsMetricRemovedForSubCluster(mc, job.SubCluster) {\n   253→\t\t\tcontinue\n   254→\t\t}\n   255→\n   256→\t\t// Avoid duplicates...\n   257→\t\thandledScopes := make([]schema.MetricScope, 0, 3)\n   258→\n   259→\tscopesLoop:\n   260→\t\tfor _, requestedScope := range scopes {\n   261→\t\t\tnativeScope := mc.Scope\n   262→\t\t\tif nativeScope == schema.MetricScopeAccelerator && job.NumAcc == 0 {\n   263→\t\t\t\tcontinue\n   264→\t\t\t}\n   265→\n   266→\t\t\tscope := nativeScope.Max(requestedScope)\n   267→\t\t\tfor _, s := range handledScopes {\n   268→\t\t\t\tif scope == s {\n   269→\t\t\t\t\tcontinue scopesLoop\n   270→\t\t\t\t}\n   271→\t\t\t}\n   272→\t\t\thandledScopes = append(handledScopes, scope)\n   273→\n   274→\t\t\tfor _, host := range job.Resources {\n   275→\t\t\t\thwthreads := host.HWThreads\n   276→\t\t\t\tif hwthreads == nil {\n   277→\t\t\t\t\thwthreads = topology.Node\n   278→\t\t\t\t}\n   279→\n   280→\t\t\t\tscopeResults, ok := BuildScopeQueries(\n   281→\t\t\t\t\tnativeScope, requestedScope,\n   282→\t\t\t\t\tmetric, host.Hostname,\n   283→\t\t\t\t\t&topology, hwthreads, host.Accelerators,\n   284→\t\t\t\t)\n   285→\n   286→\t\t\t\tif !ok {\n   287→\t\t\t\t\treturn nil, nil, fmt.Errorf(\"METRICDATA/INTERNAL-CCMS > unsupported scope transformation: native-scope=%s, requested-scope=%s\", nativeScope, requestedScope)\n   288→\t\t\t\t}\n   289→\n   290→\t\t\t\tfor _, sr := range scopeResults {\n   291→\t\t\t\t\tqueries = append(queries, APIQuery{\n   292→\t\t\t\t\t\tMetric:     sr.Metric,\n   293→\t\t\t\t\t\tHostname:   sr.Hostname,\n   294→\t\t\t\t\t\tAggregate:  sr.Aggregate,\n   295→\t\t\t\t\t\tType:       sr.Type,\n   296→\t\t\t\t\t\tTypeIds:    sr.TypeIds,\n   297→\t\t\t\t\t\tResolution: resolution,\n   298→\t\t\t\t\t})\n   299→\t\t\t\t\tassignedScope = append(assignedScope, sr.Scope)\n   300→\t\t\t\t}\n   301→\t\t\t}\n   302→\t\t}\n   303→\t}\n   304→\n   305→\treturn queries, assignedScope, nil\n   306→}\n   307→\n   308→// LoadStats loads only metric statistics (avg/min/max) for a job at node scope.\n   309→//\n   310→// This is an optimized version of LoadData that fetches only statistics without\n   311→// time-series data, reducing bandwidth and memory usage. Always queries at node scope.\n   312→//\n   313→// Parameters:\n   314→//   - job: Job metadata\n   315→//   - metrics: List of metric names\n   316→//   - ctx: Context (currently unused)\n   317→//\n   318→// Returns:\n   319→//   - Map of metric → hostname → statistics\n   320→//   - Error on query building or fetching failure\n   321→func (ccms *InternalMetricStore) LoadStats(\n   322→\tjob *schema.Job,\n   323→\tmetrics []string,\n   324→\tctx context.Context,\n   325→) (map[string]map[string]schema.MetricStatistics, error) {\n   326→\t// TODO(#166): Add scope parameter for analysis view accelerator normalization\n   327→\tqueries, _, err := buildQueries(job, metrics, []schema.MetricScope{schema.MetricScopeNode}, 0)\n   328→\tif err != nil {\n   329→\t\tcclog.Errorf(\"Error while building queries for jobId %d, Metrics %v: %s\", job.JobID, metrics, err.Error())\n   330→\t\treturn nil, err\n   331→\t}\n   332→\n   333→\treq := APIQueryRequest{\n   334→\t\tCluster:   job.Cluster,\n   335→\t\tFrom:      job.StartTime,\n   336→\t\tTo:        job.StartTime + int64(job.Duration),\n   337→\t\tQueries:   queries,\n   338→\t\tWithStats: true,\n   339→\t\tWithData:  false,\n   340→\t}\n   341→\n   342→\tresBody, err := FetchData(req)\n   343→\tif err != nil {\n   344→\t\tcclog.Errorf(\"Error while fetching data : %s\", err.Error())\n   345→\t\treturn nil, err\n   346→\t}\n   347→\n   348→\tstats := make(map[string]map[string]schema.MetricStatistics, len(metrics))\n   349→\tfor i, res := range resBody.Results {\n   350→\t\tif i >= len(req.Queries) {\n   351→\t\t\tcclog.Warnf(\"LoadStats: result index %d exceeds queries length %d\", i, len(req.Queries))\n   352→\t\t\tbreak\n   353→\t\t}\n   354→\t\tif len(res) == 0 {\n   355→\t\t\t// No Data Found For Metric, Logged in FetchData to Warn\n   356→\t\t\tcontinue\n   357→\t\t}\n   358→\t\tquery := req.Queries[i]\n   359→\t\tmetric := query.Metric\n   360→\t\tdata := res[0]\n   361→\t\tif data.Error != nil {\n   362→\t\t\tcclog.Warnf(\"fetching %s for node %s failed: %s\", metric, query.Hostname, *data.Error)\n   363→\t\t\tcontinue\n   364→\t\t}\n   365→\n   366→\t\tmetricdata, ok := stats[metric]\n   367→\t\tif !ok {\n   368→\t\t\tmetricdata = make(map[string]schema.MetricStatistics, job.NumNodes)\n   369→\t\t\tstats[metric] = metricdata\n   370→\t\t}\n   371→\n   372→\t\tif data.Avg.IsNaN() || data.Min.IsNaN() || data.Max.IsNaN() {\n   373→\t\t\tcclog.Warnf(\"fetching %s for node %s failed: one of avg/min/max is NaN\", metric, query.Hostname)\n   374→\t\t\tcontinue\n   375→\t\t}\n   376→\n   377→\t\tmetricdata[query.Hostname] = schema.MetricStatistics{\n   378→\t\t\tAvg: float64(data.Avg),\n   379→\t\t\tMin: float64(data.Min),\n   380→\t\t\tMax: float64(data.Max),\n   381→\t\t}\n   382→\t}\n   383→\n   384→\treturn stats, nil\n   385→}\n   386→\n   387→// LoadScopedStats loads metric statistics for a job with scope-aware grouping.\n   388→//\n   389→// Similar to LoadStats but supports multiple scopes and returns statistics grouped\n   390→// by scope with hardware IDs (e.g., per-core, per-socket statistics).\n   391→//\n   392→// Parameters:\n   393→//   - job: Job metadata\n   394→//   - metrics: List of metric names\n   395→//   - scopes: Requested metric scopes\n   396→//   - ctx: Context (currently unused)\n   397→//\n   398→// Returns:\n   399→//   - ScopedJobStats: Map of metric → scope → []ScopedStats (with hostname and ID)\n   400→//   - Error or partial error listing failed queries\n   401→func (ccms *InternalMetricStore) LoadScopedStats(\n   402→\tjob *schema.Job,\n   403→\tmetrics []string,\n   404→\tscopes []schema.MetricScope,\n   405→\tctx context.Context,\n   406→) (schema.ScopedJobStats, error) {\n   407→\tqueries, assignedScope, err := buildQueries(job, metrics, scopes, 0)\n   408→\tif err != nil {\n   409→\t\tcclog.Errorf(\"Error while building queries for jobId %d, Metrics %v, Scopes %v: %s\", job.JobID, metrics, scopes, err.Error())\n   410→\t\treturn nil, err\n   411→\t}\n   412→\n   413→\treq := APIQueryRequest{\n   414→\t\tCluster:   job.Cluster,\n   415→\t\tFrom:      job.StartTime,\n   416→\t\tTo:        job.StartTime + int64(job.Duration),\n   417→\t\tQueries:   queries,\n   418→\t\tWithStats: true,\n   419→\t\tWithData:  false,\n   420→\t}\n   421→\n   422→\tresBody, err := FetchData(req)\n   423→\tif err != nil {\n   424→\t\tcclog.Errorf(\"Error while fetching data : %s\", err.Error())\n   425→\t\treturn nil, err\n   426→\t}\n   427→\n   428→\tvar errors []string\n   429→\tscopedJobStats := make(schema.ScopedJobStats)\n   430→\n   431→\tfor i, row := range resBody.Results {\n   432→\t\tif len(row) == 0 {\n   433→\t\t\t// No Data Found For Metric, Logged in FetchData to Warn\n   434→\t\t\tcontinue\n   435→\t\t}\n   436→\t\tquery := req.Queries[i]\n   437→\t\tmetric := query.Metric\n   438→\t\tscope := assignedScope[i]\n   439→\n   440→\t\tif _, ok := scopedJobStats[metric]; !ok {\n   441→\t\t\tscopedJobStats[metric] = make(map[schema.MetricScope][]*schema.ScopedStats)\n   442→\t\t}\n   443→\n   444→\t\tif _, ok := scopedJobStats[metric][scope]; !ok {\n   445→\t\t\tscopedJobStats[metric][scope] = make([]*schema.ScopedStats, 0)\n   446→\t\t}\n   447→\n   448→\t\tfor ndx, res := range row {\n   449→\t\t\tif res.Error != nil {\n   450→\t\t\t\t/* Build list for \"partial errors\", if any */\n   451→\t\t\t\terrors = append(errors, fmt.Sprintf(\"failed to fetch '%s' from host '%s': %s\", query.Metric, query.Hostname, *res.Error))\n   452→\t\t\t\tcontinue\n   453→\t\t\t}\n   454→\n   455→\t\t\tid := ExtractTypeID(query.Type, query.TypeIds, ndx, query.Metric, query.Hostname)\n   456→\n   457→\t\t\tSanitizeStats(&res.Avg, &res.Min, &res.Max)\n   458→\n   459→\t\t\tscopedJobStats[metric][scope] = append(scopedJobStats[metric][scope], &schema.ScopedStats{\n   460→\t\t\t\tHostname: query.Hostname,\n   461→\t\t\t\tID:       id,\n   462→\t\t\t\tData: &schema.MetricStatistics{\n   463→\t\t\t\t\tAvg: float64(res.Avg),\n   464→\t\t\t\t\tMin: float64(res.Min),\n   465→\t\t\t\t\tMax: float64(res.Max),\n   466→\t\t\t\t},\n   467→\t\t\t})\n   468→\t\t}\n   469→\n   470→\t\t// So that one can later check len(scopedJobStats[metric][scope]): Remove from map if empty\n   471→\t\tif len(scopedJobStats[metric][scope]) == 0 {\n   472→\t\t\tdelete(scopedJobStats[metric], scope)\n   473→\t\t\tif len(scopedJobStats[metric]) == 0 {\n   474→\t\t\t\tdelete(scopedJobStats, metric)\n   475→\t\t\t}\n   476→\t\t}\n   477→\t}\n   478→\n   479→\tif len(errors) != 0 {\n   480→\t\t/* Returns list for \"partial errors\" */\n   481→\t\treturn scopedJobStats, fmt.Errorf(\"METRICDATA/INTERNAL-CCMS > Errors: %s\", strings.Join(errors, \", \"))\n   482→\t}\n   483→\treturn scopedJobStats, nil\n   484→}\n   485→\n   486→// LoadNodeData loads metric data for specific nodes in a cluster over a time range.\n   487→//\n   488→// Unlike LoadData which operates on job resources, this function queries arbitrary nodes\n   489→// directly. Useful for system monitoring and node status views.\n   490→//\n   491→// Parameters:\n   492→//   - cluster: Cluster name\n   493→//   - metrics: List of metric names\n   494→//   - nodes: List of node hostnames (nil = all nodes in cluster via ForAllNodes)\n   495→//   - scopes: Requested metric scopes (currently unused - always node scope)\n   496→//   - from, to: Time range\n   497→//   - ctx: Context (currently unused)\n   498→//\n   499→// Returns:\n   500→//   - Map of hostname → metric → []JobMetric\n   501→//   - Error or partial error listing failed queries\n   502→func (ccms *InternalMetricStore) LoadNodeData(\n   503→\tcluster string,\n   504→\tmetrics, nodes []string,\n   505→\tscopes []schema.MetricScope,\n   506→\tfrom, to time.Time,\n   507→\tctx context.Context,\n   508→) (map[string]map[string][]*schema.JobMetric, error) {\n   509→\treq := APIQueryRequest{\n   510→\t\tCluster:   cluster,\n   511→\t\tFrom:      from.Unix(),\n   512→\t\tTo:        to.Unix(),\n   513→\t\tWithStats: true,\n   514→\t\tWithData:  true,\n   515→\t}\n   516→\n   517→\tif nodes == nil {\n   518→\t\treq.ForAllNodes = append(req.ForAllNodes, metrics...)\n   519→\t} else {\n   520→\t\tfor _, node := range nodes {\n   521→\t\t\tfor _, metric := range metrics {\n   522→\t\t\t\treq.Queries = append(req.Queries, APIQuery{\n   523→\t\t\t\t\tHostname:   node,\n   524→\t\t\t\t\tMetric:     metric,\n   525→\t\t\t\t\tResolution: 0, // Default for Node Queries: Will return metric $Timestep Resolution\n   526→\t\t\t\t})\n   527→\t\t\t}\n   528→\t\t}\n   529→\t}\n   530→\n   531→\tresBody, err := FetchData(req)\n   532→\tif err != nil {\n   533→\t\tcclog.Errorf(\"Error while fetching data : %s\", err.Error())\n   534→\t\treturn nil, err\n   535→\t}\n   536→\n   537→\tvar errors []string\n   538→\tdata := make(map[string]map[string][]*schema.JobMetric)\n   539→\tfor i, res := range resBody.Results {\n   540→\t\tif len(res) == 0 {\n   541→\t\t\t// No Data Found For Metric, Logged in FetchData to Warn\n   542→\t\t\tcontinue\n   543→\t\t}\n   544→\n   545→\t\tvar query APIQuery\n   546→\t\tif resBody.Queries != nil {\n   547→\t\t\tquery = resBody.Queries[i]\n   548→\t\t} else {\n   549→\t\t\tquery = req.Queries[i]\n   550→\t\t}\n   551→\n   552→\t\tmetric := query.Metric\n   553→\t\tqdata := res[0]\n   554→\t\tif qdata.Error != nil {\n   555→\t\t\terrors = append(errors, fmt.Sprintf(\"fetching %s for node %s failed: %s\", metric, query.Hostname, *qdata.Error))\n   556→\t\t\tcontinue\n   557→\t\t}\n   558→\n   559→\t\tmc := archive.GetMetricConfig(cluster, metric)\n   560→\t\tif mc == nil {\n   561→\t\t\tcclog.Warnf(\"Metric config not found for %s on cluster %s\", metric, cluster)\n   562→\t\t\tcontinue\n   563→\t\t}\n   564→\n   565→\t\tSanitizeStats(&qdata.Avg, &qdata.Min, &qdata.Max)\n   566→\n   567→\t\thostdata, ok := data[query.Hostname]\n   568→\t\tif !ok {\n   569→\t\t\thostdata = make(map[string][]*schema.JobMetric)\n   570→\t\t\tdata[query.Hostname] = hostdata\n   571→\t\t}\n   572→\n   573→\t\thostdata[metric] = append(hostdata[metric], &schema.JobMetric{\n   574→\t\t\tUnit:     mc.Unit,\n   575→\t\t\tTimestep: mc.Timestep,\n   576→\t\t\tSeries: []schema.Series{\n   577→\t\t\t\t{\n   578→\t\t\t\t\tHostname: query.Hostname,\n   579→\t\t\t\t\tData:     qdata.Data,\n   580→\t\t\t\t\tStatistics: schema.MetricStatistics{\n   581→\t\t\t\t\t\tAvg: float64(qdata.Avg),\n   582→\t\t\t\t\t\tMin: float64(qdata.Min),\n   583→\t\t\t\t\t\tMax: float64(qdata.Max),\n   584→\t\t\t\t\t},\n   585→\t\t\t\t},\n   586→\t\t\t},\n   587→\t\t})\n   588→\t}\n   589→\n   590→\tif len(errors) != 0 {\n   591→\t\t/* Returns list of \"partial errors\" */\n   592→\t\treturn data, fmt.Errorf(\"METRICDATA/INTERNAL-CCMS > Errors: %s\", strings.Join(errors, \", \"))\n   593→\t}\n   594→\n   595→\treturn data, nil\n   596→}\n   597→\n   598→// LoadNodeListData loads metric data for a list of nodes with full scope transformation support.\n   599→//\n   600→// This is the most flexible node data loading function, supporting arbitrary scopes and\n   601→// resolution. Uses buildNodeQueries for proper scope transformation based on topology.\n   602→//\n   603→// Parameters:\n   604→//   - cluster: Cluster name\n   605→//   - subCluster: SubCluster name (empty string to infer from node names)\n   606→//   - nodes: List of node hostnames\n   607→//   - metrics: List of metric names\n   608→//   - scopes: Requested metric scopes\n   609→//   - resolution: Data resolution in seconds\n   610→//   - from, to: Time range\n   611→//   - ctx: Context (currently unused)\n   612→//\n   613→// Returns:\n   614→//   - Map of hostname → JobData (metric → scope → JobMetric)\n   615→//   - Error or partial error listing failed queries\n   616→func (ccms *InternalMetricStore) LoadNodeListData(\n   617→\tcluster, subCluster string,\n   618→\tnodes []string,\n   619→\tmetrics []string,\n   620→\tscopes []schema.MetricScope,\n   621→\tresolution int,\n   622→\tfrom, to time.Time,\n   623→\tctx context.Context,\n   624→) (map[string]schema.JobData, error) {\n   625→\t// Note: Order of node data is not guaranteed after this point\n   626→\tqueries, assignedScope, err := buildNodeQueries(cluster, subCluster, nodes, metrics, scopes, int64(resolution))\n   627→\tif err != nil {\n   628→\t\tcclog.Errorf(\"Error while building node queries for Cluster %s, SubCLuster %s, Metrics %v, Scopes %v: %s\", cluster, subCluster, metrics, scopes, err.Error())\n   629→\t\treturn nil, err\n   630→\t}\n   631→\n   632→\t// Verify assignment is correct - log any inconsistencies for debugging\n   633→\tif len(queries) != len(assignedScope) {\n   634→\t\tcclog.Errorf(\"Critical error: queries and assignedScope have different lengths after buildNodeQueries: %d vs %d\",\n   635→\t\t\tlen(queries), len(assignedScope))\n   636→\t}\n   637→\n   638→\treq := APIQueryRequest{\n   639→\t\tCluster:   cluster,\n   640→\t\tQueries:   queries,\n   641→\t\tFrom:      from.Unix(),\n   642→\t\tTo:        to.Unix(),\n   643→\t\tWithStats: true,\n   644→\t\tWithData:  true,\n   645→\t}\n   646→\n   647→\tresBody, err := FetchData(req)\n   648→\tif err != nil {\n   649→\t\tcclog.Errorf(\"Error while fetching data : %s\", err.Error())\n   650→\t\treturn nil, err\n   651→\t}\n   652→\n   653→\tvar errors []string\n   654→\tdata := make(map[string]schema.JobData)\n   655→\n   656→\t// Add safety check for index out of range issues\n   657→\tif len(resBody.Results) != len(req.Queries) || len(assignedScope) != len(req.Queries) {\n   658→\t\tcclog.Warnf(\"Mismatch in query results count: queries=%d, results=%d, assignedScope=%d\",\n   659→\t\t\tlen(req.Queries), len(resBody.Results), len(assignedScope))\n   660→\t\tif len(resBody.Results) > len(req.Queries) {\n   661→\t\t\tresBody.Results = resBody.Results[:len(req.Queries)]\n   662→\t\t}\n   663→\t\tif len(assignedScope) > len(req.Queries) {\n   664→\t\t\tassignedScope = assignedScope[:len(req.Queries)]\n   665→\t\t}\n   666→\t}\n   667→\n   668→\tfor i, row := range resBody.Results {\n   669→\t\tvar query APIQuery\n   670→\t\tif resBody.Queries != nil {\n   671→\t\t\tif i < len(resBody.Queries) {\n   672→\t\t\t\tquery = resBody.Queries[i]\n   673→\t\t\t} else {\n   674→\t\t\t\tcclog.Warnf(\"Index out of range prevented for resBody.Queries: i=%d, len=%d\",\n   675→\t\t\t\t\ti, len(resBody.Queries))\n   676→\t\t\t\tcontinue\n   677→\t\t\t}\n   678→\t\t} else {\n   679→\t\t\tquery = req.Queries[i]\n   680→\t\t}\n   681→\n   682→\t\tmetric := query.Metric\n   683→\t\tscope := assignedScope[i]\n   684→\t\tmc := archive.GetMetricConfig(cluster, metric)\n   685→\t\tif mc == nil {\n   686→\t\t\tcclog.Warnf(\"Metric config not found for %s on cluster %s\", metric, cluster)\n   687→\t\t\tcontinue\n   688→\t\t}\n   689→\n   690→\t\tres := mc.Timestep\n   691→\t\tif len(row) > 0 {\n   692→\t\t\tres = int(row[0].Resolution)\n   693→\t\t}\n   694→\n   695→\t\t// Init Nested Map Data Structures If Not Found\n   696→\t\thostData, ok := data[query.Hostname]\n   697→\t\tif !ok {\n   698→\t\t\thostData = make(schema.JobData)\n   699→\t\t\tdata[query.Hostname] = hostData\n   700→\t\t}\n   701→\n   702→\t\tmetricData, ok := hostData[metric]\n   703→\t\tif !ok {\n   704→\t\t\tmetricData = make(map[schema.MetricScope]*schema.JobMetric)\n   705→\t\t\tdata[query.Hostname][metric] = metricData\n   706→\t\t}\n   707→\n   708→\t\tscopeData, ok := metricData[scope]\n   709→\t\tif !ok {\n   710→\t\t\tscopeData = &schema.JobMetric{\n   711→\t\t\t\tUnit:     mc.Unit,\n   712→\t\t\t\tTimestep: res,\n   713→\t\t\t\tSeries:   make([]schema.Series, 0),\n   714→\t\t\t}\n   715→\t\t\tdata[query.Hostname][metric][scope] = scopeData\n   716→\t\t}\n   717→\n   718→\t\tfor ndx, res := range row {\n   719→\t\t\tif res.Error != nil {\n   720→\t\t\t\t/* Build list for \"partial errors\", if any */\n   721→\t\t\t\terrors = append(errors, fmt.Sprintf(\"failed to fetch '%s' from host '%s': %s\", query.Metric, query.Hostname, *res.Error))\n   722→\t\t\t\tcontinue\n   723→\t\t\t}\n   724→\n   725→\t\t\tid := ExtractTypeID(query.Type, query.TypeIds, ndx, query.Metric, query.Hostname)\n   726→\n   727→\t\t\tSanitizeStats(&res.Avg, &res.Min, &res.Max)\n   728→\n   729→\t\t\tscopeData.Series = append(scopeData.Series, schema.Series{\n   730→\t\t\t\tHostname: query.Hostname,\n   731→\t\t\t\tID:       id,\n   732→\t\t\t\tStatistics: schema.MetricStatistics{\n   733→\t\t\t\t\tAvg: float64(res.Avg),\n   734→\t\t\t\t\tMin: float64(res.Min),\n   735→\t\t\t\t\tMax: float64(res.Max),\n   736→\t\t\t\t},\n   737→\t\t\t\tData: res.Data,\n   738→\t\t\t})\n   739→\t\t}\n   740→\t}\n   741→\n   742→\tif len(errors) != 0 {\n   743→\t\t/* Returns list of \"partial errors\" */\n   744→\t\treturn data, fmt.Errorf(\"METRICDATA/INTERNAL-CCMS > Errors: %s\", strings.Join(errors, \", \"))\n   745→\t}\n   746→\n   747→\treturn data, nil\n   748→}\n   749→\n   750→// buildNodeQueries constructs APIQuery structures for node-based queries with scope transformation.\n   751→//\n   752→// Similar to buildQueries but operates on node lists rather than job resources.\n   753→// Supports dynamic subcluster lookup when subCluster parameter is empty.\n   754→//\n   755→// Parameters:\n   756→//   - cluster: Cluster name\n   757→//   - subCluster: SubCluster name (empty = infer from node hostnames)\n   758→//   - nodes: List of node hostnames\n   759→//   - metrics: List of metric names\n   760→//   - scopes: Requested metric scopes\n   761→//   - resolution: Data resolution in seconds\n   762→//\n   763→// Returns:\n   764→//   - []APIQuery: List of queries to execute\n   765→//   - []schema.MetricScope: Assigned scope for each query\n   766→//   - error: Returns error if topology lookup fails or unhandled scope combination\n   767→func buildNodeQueries(\n   768→\tcluster string,\n   769→\tsubCluster string,\n   770→\tnodes []string,\n   771→\tmetrics []string,\n   772→\tscopes []schema.MetricScope,\n   773→\tresolution int64,\n   774→) ([]APIQuery, []schema.MetricScope, error) {\n   775→\tqueries := make([]APIQuery, 0, len(metrics)*len(scopes)*len(nodes))\n   776→\tassignedScope := make([]schema.MetricScope, 0, len(metrics)*len(scopes)*len(nodes))\n   777→\n   778→\t// Get Topol before loop if subCluster given\n   779→\tvar subClusterTopol *schema.SubCluster\n   780→\tvar scterr error\n   781→\tif subCluster != \"\" {\n   782→\t\tsubClusterTopol, scterr = archive.GetSubCluster(cluster, subCluster)\n   783→\t\tif scterr != nil {\n   784→\t\t\tcclog.Errorf(\"could not load cluster %s subCluster %s topology: %s\", cluster, subCluster, scterr.Error())\n   785→\t\t\treturn nil, nil, scterr\n   786→\t\t}\n   787→\t}\n   788→\n   789→\tfor _, metric := range metrics {\n   790→\t\tmc := archive.GetMetricConfig(cluster, metric)\n   791→\t\tif mc == nil {\n   792→\t\t\tcclog.Warnf(\"metric '%s' is not specified for cluster '%s'\", metric, cluster)\n   793→\t\t\tcontinue\n   794→\t\t}\n   795→\n   796→\t\t// Skip if metric is removed for subcluster\n   797→\t\tif mc.SubClusters != nil && IsMetricRemovedForSubCluster(mc, subCluster) {\n   798→\t\t\tcontinue\n   799→\t\t}\n   800→\n   801→\t\t// Avoid duplicates...\n   802→\t\thandledScopes := make([]schema.MetricScope, 0, 3)\n   803→\n   804→\tnodeScopesLoop:\n   805→\t\tfor _, requestedScope := range scopes {\n   806→\t\t\tnativeScope := mc.Scope\n   807→\n   808→\t\t\tscope := nativeScope.Max(requestedScope)\n   809→\t\t\tfor _, s := range handledScopes {\n   810→\t\t\t\tif scope == s {\n   811→\t\t\t\t\tcontinue nodeScopesLoop\n   812→\t\t\t\t}\n   813→\t\t\t}\n   814→\t\t\thandledScopes = append(handledScopes, scope)\n   815→\n   816→\t\t\tfor _, hostname := range nodes {\n   817→\n   818→\t\t\t\t// If no subCluster given, get it by node\n   819→\t\t\t\tif subCluster == \"\" {\n   820→\t\t\t\t\tsubClusterName, scnerr := archive.GetSubClusterByNode(cluster, hostname)\n   821→\t\t\t\t\tif scnerr != nil {\n   822→\t\t\t\t\t\treturn nil, nil, scnerr\n   823→\t\t\t\t\t}\n   824→\t\t\t\t\tsubClusterTopol, scterr = archive.GetSubCluster(cluster, subClusterName)\n   825→\t\t\t\t\tif scterr != nil {\n   826→\t\t\t\t\t\treturn nil, nil, scterr\n   827→\t\t\t\t\t}\n   828→\t\t\t\t}\n   829→\n   830→\t\t\t\t// Always full node hwthread id list, no partial queries expected\n   831→\t\t\t\ttopology := subClusterTopol.Topology\n   832→\t\t\t\tacceleratorIds := topology.GetAcceleratorIDs()\n   833→\n   834→\t\t\t\t// Moved check here if metric matches hardware specs\n   835→\t\t\t\tif nativeScope == schema.MetricScopeAccelerator && len(acceleratorIds) == 0 {\n   836→\t\t\t\t\tcontinue\n   837→\t\t\t\t}\n   838→\n   839→\t\t\t\tscopeResults, ok := BuildScopeQueries(\n   840→\t\t\t\t\tnativeScope, requestedScope,\n   841→\t\t\t\t\tmetric, hostname,\n   842→\t\t\t\t\t&topology, topology.Node, acceleratorIds,\n   843→\t\t\t\t)\n   844→\n   845→\t\t\t\tif !ok {\n   846→\t\t\t\t\treturn nil, nil, fmt.Errorf(\"METRICDATA/INTERNAL-CCMS > unsupported scope transformation: native-scope=%s, requested-scope=%s\", nativeScope, requestedScope)\n   847→\t\t\t\t}\n   848→\n   849→\t\t\t\tfor _, sr := range scopeResults {\n   850→\t\t\t\t\tqueries = append(queries, APIQuery{\n   851→\t\t\t\t\t\tMetric:     sr.Metric,\n   852→\t\t\t\t\t\tHostname:   sr.Hostname,\n   853→\t\t\t\t\t\tAggregate:  sr.Aggregate,\n   854→\t\t\t\t\t\tType:       sr.Type,\n   855→\t\t\t\t\t\tTypeIds:    sr.TypeIds,\n   856→\t\t\t\t\t\tResolution: resolution,\n   857→\t\t\t\t\t})\n   858→\t\t\t\t\tassignedScope = append(assignedScope, sr.Scope)\n   859→\t\t\t\t}\n   860→\t\t\t}\n   861→\t\t}\n   862→\t}\n   863→\n   864→\treturn queries, assignedScope, nil\n   865→}\n   866→"}]},"uuid":"ca9f8c53-bbf7-41b7-9853-7d2a7ca1d363","timestamp":"2026-03-19T19:46:24.751Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/pkg/metricstore/query.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file implements high-level query functions for loading job metric data\n// with automatic scope transformation and aggregation.\n//\n// Key Concepts:\n//\n// Metric Scopes: Metrics are collected at different granularities (native scope):\n//   - HWThread: Per hardware thread\n//   - Core: Per CPU core\n//   - Socket: Per CPU socket\n//   - MemoryDomain: Per memory domain (NUMA)\n//   - Accelerator: Per GPU/accelerator\n//   - Node: Per compute node\n//\n// Scope Transformation: The buildQueries functions transform between native scope\n// and requested scope by:\n//   - Aggregating finer-grained data (e.g., HWThread → Core → Socket → Node)\n//   - Rejecting requests for finer granularity than available\n//   - Handling special cases (e.g., Accelerator metrics)\n//\n// Query Building: Constructs APIQuery structures with proper selectors (Type, TypeIds)\n// based on cluster topology and job resources.\npackage metricstore\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\ntype InternalMetricStore struct{}\n\nvar MetricStoreHandle *InternalMetricStore\n\n// HealthCheck delegates to the internal MemoryStore's HealthCheck.\nfunc (ccms *InternalMetricStore) HealthCheck(cluster string,\n\tnodes []string, metrics []string,\n) (map[string]HealthCheckResult, error) {\n\treturn GetMemoryStore().HealthCheck(cluster, nodes, metrics)\n}\n\n// TestLoadDataCallback allows tests to override LoadData behavior for testing purposes.\n// When set to a non-nil function, LoadData will call this function instead of the default implementation.\nvar TestLoadDataCallback func(job *schema.Job, metrics []string, scopes []schema.MetricScope, ctx context.Context, resolution int) (schema.JobData, error)\n\n// LoadData loads metric data for a specific job with automatic scope transformation.\n//\n// This is the primary function for retrieving job metric data. It handles:\n//   - Building queries with scope transformation via buildQueries\n//   - Fetching data from the metric store\n//   - Organizing results by metric and scope\n//   - Converting NaN statistics to 0 for JSON compatibility\n//   - Partial error handling (returns data for successful queries even if some fail)\n//\n// Parameters:\n//   - job: Job metadata including cluster, resources, and time range\n//   - metrics: List of metric names to load\n//   - scopes: Requested metric scopes (will be transformed to match native scopes)\n//   - ctx: Context for cancellation (currently unused but reserved for future use)\n//   - resolution: Data resolution in seconds (0 for native resolution)\n//\n// Returns:\n//   - JobData: Map of metric → scope → JobMetric with time-series data and statistics\n//   - Error: Returns error if query building or fetching fails, or partial error listing failed hosts\n//\n// Example:\n//\n//\tjobData, err := LoadData(job, []string{\"cpu_load\", \"mem_used\"}, []schema.MetricScope{schema.MetricScopeNode}, ctx, 60)\nfunc (ccms *InternalMetricStore) LoadData(\n\tjob *schema.Job,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tctx context.Context,\n\tresolution int,\n) (schema.JobData, error) {\n\tif TestLoadDataCallback != nil {\n\t\treturn TestLoadDataCallback(job, metrics, scopes, ctx, resolution)\n\t}\n\n\tqueries, assignedScope, err := buildQueries(job, metrics, scopes, int64(resolution))\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while building queries for jobId %d, Metrics %v, Scopes %v: %s\", job.JobID, metrics, scopes, err.Error())\n\t\treturn nil, err\n\t}\n\n\t// Verify assignment is correct - log any inconsistencies for debugging\n\tif len(queries) != len(assignedScope) {\n\t\tcclog.Errorf(\"Critical error: queries and assignedScope have different lengths after buildQueries: %d vs %d\",\n\t\t\tlen(queries), len(assignedScope))\n\t}\n\n\treq := APIQueryRequest{\n\t\tCluster:   job.Cluster,\n\t\tFrom:      job.StartTime,\n\t\tTo:        job.StartTime + int64(job.Duration),\n\t\tQueries:   queries,\n\t\tWithStats: true,\n\t\tWithData:  true,\n\t}\n\n\tresBody, err := FetchData(req)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while fetching data : %s\", err.Error())\n\t\treturn nil, err\n\t}\n\n\tvar errors []string\n\tjobData := make(schema.JobData)\n\n\t// Add safety check for potential index out of range errors\n\tif len(resBody.Results) != len(req.Queries) || len(assignedScope) != len(req.Queries) {\n\t\tcclog.Warnf(\"Mismatch in query results count: queries=%d, results=%d, assignedScope=%d\",\n\t\t\tlen(req.Queries), len(resBody.Results), len(assignedScope))\n\t\tif len(resBody.Results) > len(req.Queries) {\n\t\t\tresBody.Results = resBody.Results[:len(req.Queries)]\n\t\t}\n\t\tif len(assignedScope) > len(req.Queries) {\n\t\t\tassignedScope = assignedScope[:len(req.Queries)]\n\t\t}\n\t}\n\n\tfor i, row := range resBody.Results {\n\t\tquery := req.Queries[i]\n\t\tmetric := query.Metric\n\t\tscope := assignedScope[i]\n\t\tmc := archive.GetMetricConfig(job.Cluster, metric)\n\n\t\tif mc == nil {\n\t\t\tcclog.Warnf(\"Metric config not found for %s on cluster %s\", metric, job.Cluster)\n\t\t\tcontinue\n\t\t}\n\n\t\tif _, ok := jobData[metric]; !ok {\n\t\t\tjobData[metric] = make(map[schema.MetricScope]*schema.JobMetric)\n\t\t}\n\n\t\tres := mc.Timestep\n\t\tif len(row) > 0 {\n\t\t\tres = int(row[0].Resolution)\n\t\t}\n\n\t\tjobMetric, ok := jobData[metric][scope]\n\t\tif !ok {\n\t\t\tjobMetric = &schema.JobMetric{\n\t\t\t\tUnit:     mc.Unit,\n\t\t\t\tTimestep: res,\n\t\t\t\tSeries:   make([]schema.Series, 0),\n\t\t\t}\n\t\t\tjobData[metric][scope] = jobMetric\n\t\t}\n\n\t\tfor ndx, res := range row {\n\t\t\tif res.Error != nil {\n\t\t\t\t/* Build list for \"partial errors\", if any */\n\t\t\t\terrors = append(errors, fmt.Sprintf(\"failed to fetch '%s' from host '%s': %s\", query.Metric, query.Hostname, *res.Error))\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tid := ExtractTypeID(query.Type, query.TypeIds, ndx, query.Metric, query.Hostname)\n\n\t\t\tSanitizeStats(&res.Avg, &res.Min, &res.Max)\n\n\t\t\tjobMetric.Series = append(jobMetric.Series, schema.Series{\n\t\t\t\tHostname: query.Hostname,\n\t\t\t\tID:       id,\n\t\t\t\tStatistics: schema.MetricStatistics{\n\t\t\t\t\tAvg: float64(res.Avg),\n\t\t\t\t\tMin: float64(res.Min),\n\t\t\t\t\tMax: float64(res.Max),\n\t\t\t\t},\n\t\t\t\tData: res.Data,\n\t\t\t})\n\t\t}\n\n\t\t// So that one can later check len(jobData):\n\t\tif len(jobMetric.Series) == 0 {\n\t\t\tdelete(jobData[metric], scope)\n\t\t\tif len(jobData[metric]) == 0 {\n\t\t\t\tdelete(jobData, metric)\n\t\t\t}\n\t\t}\n\t}\n\n\tif len(errors) != 0 {\n\t\t/* Returns list for \"partial errors\" */\n\t\treturn jobData, fmt.Errorf(\"METRICDATA/INTERNAL-CCMS > Errors: %s\", strings.Join(errors, \", \"))\n\t}\n\treturn jobData, nil\n}\n\n// buildQueries constructs APIQuery structures with automatic scope transformation for a job.\n//\n// This function implements the core scope transformation logic, handling all combinations of\n// native metric scopes and requested scopes. It uses the cluster topology to determine which\n// hardware IDs to include in each query.\n//\n// Scope Transformation Rules:\n//   - If native scope >= requested scope: Aggregates data (Aggregate=true in APIQuery)\n//   - If native scope < requested scope: Returns error (cannot increase granularity)\n//   - Special handling for Accelerator scope (independent of CPU hierarchy)\n//\n// The function generates one or more APIQuery per (metric, scope, host) combination:\n//   - For non-aggregated queries: One query with all relevant IDs\n//   - For aggregated queries: May generate multiple queries (e.g., one per socket/core)\n//\n// Parameters:\n//   - job: Job metadata including cluster, subcluster, and resource allocation\n//   - metrics: List of metrics to query\n//   - scopes: Requested scopes for each metric\n//   - resolution: Data resolution in seconds\n//\n// Returns:\n//   - []APIQuery: List of queries to execute\n//   - []schema.MetricScope: Assigned scope for each query (after transformation)\n//   - error: Returns error if topology lookup fails or unhandled scope combination encountered\nfunc buildQueries(\n\tjob *schema.Job,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tresolution int64,\n) ([]APIQuery, []schema.MetricScope, error) {\n\tif len(job.Resources) == 0 {\n\t\treturn nil, nil, fmt.Errorf(\"METRICDATA/INTERNAL-CCMS > no resources allocated for job %d\", job.JobID)\n\t}\n\n\tqueries := make([]APIQuery, 0, len(metrics)*len(scopes)*len(job.Resources))\n\tassignedScope := make([]schema.MetricScope, 0, len(metrics)*len(scopes)*len(job.Resources))\n\n\tsubcluster, scerr := archive.GetSubCluster(job.Cluster, job.SubCluster)\n\tif scerr != nil {\n\t\treturn nil, nil, scerr\n\t}\n\ttopology := subcluster.Topology\n\n\tfor _, metric := range metrics {\n\t\tmc := archive.GetMetricConfig(job.Cluster, metric)\n\t\tif mc == nil {\n\t\t\tcclog.Warnf(\"metric '%s' is not specified for cluster '%s'\", metric, job.Cluster)\n\t\t\tcontinue\n\t\t}\n\n\t\t// Skip if metric is removed for subcluster\n\t\tif len(mc.SubClusters) != 0 && IsMetricRemovedForSubCluster(mc, job.SubCluster) {\n\t\t\tcontinue\n\t\t}\n\n\t\t// Avoid duplicates...\n\t\thandledScopes := make([]schema.MetricScope, 0, 3)\n\n\tscopesLoop:\n\t\tfor _, requestedScope := range scopes {\n\t\t\tnativeScope := mc.Scope\n\t\t\tif nativeScope == schema.MetricScopeAccelerator && job.NumAcc == 0 {\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tscope := nativeScope.Max(requestedScope)\n\t\t\tfor _, s := range handledScopes {\n\t\t\t\tif scope == s {\n\t\t\t\t\tcontinue scopesLoop\n\t\t\t\t}\n\t\t\t}\n\t\t\thandledScopes = append(handledScopes, scope)\n\n\t\t\tfor _, host := range job.Resources {\n\t\t\t\thwthreads := host.HWThreads\n\t\t\t\tif hwthreads == nil {\n\t\t\t\t\thwthreads = topology.Node\n\t\t\t\t}\n\n\t\t\t\tscopeResults, ok := BuildScopeQueries(\n\t\t\t\t\tnativeScope, requestedScope,\n\t\t\t\t\tmetric, host.Hostname,\n\t\t\t\t\t&topology, hwthreads, host.Accelerators,\n\t\t\t\t)\n\n\t\t\t\tif !ok {\n\t\t\t\t\treturn nil, nil, fmt.Errorf(\"METRICDATA/INTERNAL-CCMS > unsupported scope transformation: native-scope=%s, requested-scope=%s\", nativeScope, requestedScope)\n\t\t\t\t}\n\n\t\t\t\tfor _, sr := range scopeResults {\n\t\t\t\t\tqueries = append(queries, APIQuery{\n\t\t\t\t\t\tMetric:     sr.Metric,\n\t\t\t\t\t\tHostname:   sr.Hostname,\n\t\t\t\t\t\tAggregate:  sr.Aggregate,\n\t\t\t\t\t\tType:       sr.Type,\n\t\t\t\t\t\tTypeIds:    sr.TypeIds,\n\t\t\t\t\t\tResolution: resolution,\n\t\t\t\t\t})\n\t\t\t\t\tassignedScope = append(assignedScope, sr.Scope)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\treturn queries, assignedScope, nil\n}\n\n// LoadStats loads only metric statistics (avg/min/max) for a job at node scope.\n//\n// This is an optimized version of LoadData that fetches only statistics without\n// time-series data, reducing bandwidth and memory usage. Always queries at node scope.\n//\n// Parameters:\n//   - job: Job metadata\n//   - metrics: List of metric names\n//   - ctx: Context (currently unused)\n//\n// Returns:\n//   - Map of metric → hostname → statistics\n//   - Error on query building or fetching failure\nfunc (ccms *InternalMetricStore) LoadStats(\n\tjob *schema.Job,\n\tmetrics []string,\n\tctx context.Context,\n) (map[string]map[string]schema.MetricStatistics, error) {\n\t// TODO(#166): Add scope parameter for analysis view accelerator normalization\n\tqueries, _, err := buildQueries(job, metrics, []schema.MetricScope{schema.MetricScopeNode}, 0)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while building queries for jobId %d, Metrics %v: %s\", job.JobID, metrics, err.Error())\n\t\treturn nil, err\n\t}\n\n\treq := APIQueryRequest{\n\t\tCluster:   job.Cluster,\n\t\tFrom:      job.StartTime,\n\t\tTo:        job.StartTime + int64(job.Duration),\n\t\tQueries:   queries,\n\t\tWithStats: true,\n\t\tWithData:  false,\n\t}\n\n\tresBody, err := FetchData(req)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while fetching data : %s\", err.Error())\n\t\treturn nil, err\n\t}\n\n\tstats := make(map[string]map[string]schema.MetricStatistics, len(metrics))\n\tfor i, res := range resBody.Results {\n\t\tif i >= len(req.Queries) {\n\t\t\tcclog.Warnf(\"LoadStats: result index %d exceeds queries length %d\", i, len(req.Queries))\n\t\t\tbreak\n\t\t}\n\t\tif len(res) == 0 {\n\t\t\t// No Data Found For Metric, Logged in FetchData to Warn\n\t\t\tcontinue\n\t\t}\n\t\tquery := req.Queries[i]\n\t\tmetric := query.Metric\n\t\tdata := res[0]\n\t\tif data.Error != nil {\n\t\t\tcclog.Warnf(\"fetching %s for node %s failed: %s\", metric, query.Hostname, *data.Error)\n\t\t\tcontinue\n\t\t}\n\n\t\tmetricdata, ok := stats[metric]\n\t\tif !ok {\n\t\t\tmetricdata = make(map[string]schema.MetricStatistics, job.NumNodes)\n\t\t\tstats[metric] = metricdata\n\t\t}\n\n\t\tif data.Avg.IsNaN() || data.Min.IsNaN() || data.Max.IsNaN() {\n\t\t\tcclog.Warnf(\"fetching %s for node %s failed: one of avg/min/max is NaN\", metric, query.Hostname)\n\t\t\tcontinue\n\t\t}\n\n\t\tmetricdata[query.Hostname] = schema.MetricStatistics{\n\t\t\tAvg: float64(data.Avg),\n\t\t\tMin: float64(data.Min),\n\t\t\tMax: float64(data.Max),\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// LoadScopedStats loads metric statistics for a job with scope-aware grouping.\n//\n// Similar to LoadStats but supports multiple scopes and returns statistics grouped\n// by scope with hardware IDs (e.g., per-core, per-socket statistics).\n//\n// Parameters:\n//   - job: Job metadata\n//   - metrics: List of metric names\n//   - scopes: Requested metric scopes\n//   - ctx: Context (currently unused)\n//\n// Returns:\n//   - ScopedJobStats: Map of metric → scope → []ScopedStats (with hostname and ID)\n//   - Error or partial error listing failed queries\nfunc (ccms *InternalMetricStore) LoadScopedStats(\n\tjob *schema.Job,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tctx context.Context,\n) (schema.ScopedJobStats, error) {\n\tqueries, assignedScope, err := buildQueries(job, metrics, scopes, 0)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while building queries for jobId %d, Metrics %v, Scopes %v: %s\", job.JobID, metrics, scopes, err.Error())\n\t\treturn nil, err\n\t}\n\n\treq := APIQueryRequest{\n\t\tCluster:   job.Cluster,\n\t\tFrom:      job.StartTime,\n\t\tTo:        job.StartTime + int64(job.Duration),\n\t\tQueries:   queries,\n\t\tWithStats: true,\n\t\tWithData:  false,\n\t}\n\n\tresBody, err := FetchData(req)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while fetching data : %s\", err.Error())\n\t\treturn nil, err\n\t}\n\n\tvar errors []string\n\tscopedJobStats := make(schema.ScopedJobStats)\n\n\tfor i, row := range resBody.Results {\n\t\tif len(row) == 0 {\n\t\t\t// No Data Found For Metric, Logged in FetchData to Warn\n\t\t\tcontinue\n\t\t}\n\t\tquery := req.Queries[i]\n\t\tmetric := query.Metric\n\t\tscope := assignedScope[i]\n\n\t\tif _, ok := scopedJobStats[metric]; !ok {\n\t\t\tscopedJobStats[metric] = make(map[schema.MetricScope][]*schema.ScopedStats)\n\t\t}\n\n\t\tif _, ok := scopedJobStats[metric][scope]; !ok {\n\t\t\tscopedJobStats[metric][scope] = make([]*schema.ScopedStats, 0)\n\t\t}\n\n\t\tfor ndx, res := range row {\n\t\t\tif res.Error != nil {\n\t\t\t\t/* Build list for \"partial errors\", if any */\n\t\t\t\terrors = append(errors, fmt.Sprintf(\"failed to fetch '%s' from host '%s': %s\", query.Metric, query.Hostname, *res.Error))\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tid := ExtractTypeID(query.Type, query.TypeIds, ndx, query.Metric, query.Hostname)\n\n\t\t\tSanitizeStats(&res.Avg, &res.Min, &res.Max)\n\n\t\t\tscopedJobStats[metric][scope] = append(scopedJobStats[metric][scope], &schema.ScopedStats{\n\t\t\t\tHostname: query.Hostname,\n\t\t\t\tID:       id,\n\t\t\t\tData: &schema.MetricStatistics{\n\t\t\t\t\tAvg: float64(res.Avg),\n\t\t\t\t\tMin: float64(res.Min),\n\t\t\t\t\tMax: float64(res.Max),\n\t\t\t\t},\n\t\t\t})\n\t\t}\n\n\t\t// So that one can later check len(scopedJobStats[metric][scope]): Remove from map if empty\n\t\tif len(scopedJobStats[metric][scope]) == 0 {\n\t\t\tdelete(scopedJobStats[metric], scope)\n\t\t\tif len(scopedJobStats[metric]) == 0 {\n\t\t\t\tdelete(scopedJobStats, metric)\n\t\t\t}\n\t\t}\n\t}\n\n\tif len(errors) != 0 {\n\t\t/* Returns list for \"partial errors\" */\n\t\treturn scopedJobStats, fmt.Errorf(\"METRICDATA/INTERNAL-CCMS > Errors: %s\", strings.Join(errors, \", \"))\n\t}\n\treturn scopedJobStats, nil\n}\n\n// LoadNodeData loads metric data for specific nodes in a cluster over a time range.\n//\n// Unlike LoadData which operates on job resources, this function queries arbitrary nodes\n// directly. Useful for system monitoring and node status views.\n//\n// Parameters:\n//   - cluster: Cluster name\n//   - metrics: List of metric names\n//   - nodes: List of node hostnames (nil = all nodes in cluster via ForAllNodes)\n//   - scopes: Requested metric scopes (currently unused - always node scope)\n//   - from, to: Time range\n//   - ctx: Context (currently unused)\n//\n// Returns:\n//   - Map of hostname → metric → []JobMetric\n//   - Error or partial error listing failed queries\nfunc (ccms *InternalMetricStore) LoadNodeData(\n\tcluster string,\n\tmetrics, nodes []string,\n\tscopes []schema.MetricScope,\n\tfrom, to time.Time,\n\tctx context.Context,\n) (map[string]map[string][]*schema.JobMetric, error) {\n\treq := APIQueryRequest{\n\t\tCluster:   cluster,\n\t\tFrom:      from.Unix(),\n\t\tTo:        to.Unix(),\n\t\tWithStats: true,\n\t\tWithData:  true,\n\t}\n\n\tif nodes == nil {\n\t\treq.ForAllNodes = append(req.ForAllNodes, metrics...)\n\t} else {\n\t\tfor _, node := range nodes {\n\t\t\tfor _, metric := range metrics {\n\t\t\t\treq.Queries = append(req.Queries, APIQuery{\n\t\t\t\t\tHostname:   node,\n\t\t\t\t\tMetric:     metric,\n\t\t\t\t\tResolution: 0, // Default for Node Queries: Will return metric $Timestep Resolution\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\t}\n\n\tresBody, err := FetchData(req)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while fetching data : %s\", err.Error())\n\t\treturn nil, err\n\t}\n\n\tvar errors []string\n\tdata := make(map[string]map[string][]*schema.JobMetric)\n\tfor i, res := range resBody.Results {\n\t\tif len(res) == 0 {\n\t\t\t// No Data Found For Metric, Logged in FetchData to Warn\n\t\t\tcontinue\n\t\t}\n\n\t\tvar query APIQuery\n\t\tif resBody.Queries != nil {\n\t\t\tquery = resBody.Queries[i]\n\t\t} else {\n\t\t\tquery = req.Queries[i]\n\t\t}\n\n\t\tmetric := query.Metric\n\t\tqdata := res[0]\n\t\tif qdata.Error != nil {\n\t\t\terrors = append(errors, fmt.Sprintf(\"fetching %s for node %s failed: %s\", metric, query.Hostname, *qdata.Error))\n\t\t\tcontinue\n\t\t}\n\n\t\tmc := archive.GetMetricConfig(cluster, metric)\n\t\tif mc == nil {\n\t\t\tcclog.Warnf(\"Metric config not found for %s on cluster %s\", metric, cluster)\n\t\t\tcontinue\n\t\t}\n\n\t\tSanitizeStats(&qdata.Avg, &qdata.Min, &qdata.Max)\n\n\t\thostdata, ok := data[query.Hostname]\n\t\tif !ok {\n\t\t\thostdata = make(map[string][]*schema.JobMetric)\n\t\t\tdata[query.Hostname] = hostdata\n\t\t}\n\n\t\thostdata[metric] = append(hostdata[metric], &schema.JobMetric{\n\t\t\tUnit:     mc.Unit,\n\t\t\tTimestep: mc.Timestep,\n\t\t\tSeries: []schema.Series{\n\t\t\t\t{\n\t\t\t\t\tHostname: query.Hostname,\n\t\t\t\t\tData:     qdata.Data,\n\t\t\t\t\tStatistics: schema.MetricStatistics{\n\t\t\t\t\t\tAvg: float64(qdata.Avg),\n\t\t\t\t\t\tMin: float64(qdata.Min),\n\t\t\t\t\t\tMax: float64(qdata.Max),\n\t\t\t\t\t},\n\t\t\t\t},\n\t\t\t},\n\t\t})\n\t}\n\n\tif len(errors) != 0 {\n\t\t/* Returns list of \"partial errors\" */\n\t\treturn data, fmt.Errorf(\"METRICDATA/INTERNAL-CCMS > Errors: %s\", strings.Join(errors, \", \"))\n\t}\n\n\treturn data, nil\n}\n\n// LoadNodeListData loads metric data for a list of nodes with full scope transformation support.\n//\n// This is the most flexible node data loading function, supporting arbitrary scopes and\n// resolution. Uses buildNodeQueries for proper scope transformation based on topology.\n//\n// Parameters:\n//   - cluster: Cluster name\n//   - subCluster: SubCluster name (empty string to infer from node names)\n//   - nodes: List of node hostnames\n//   - metrics: List of metric names\n//   - scopes: Requested metric scopes\n//   - resolution: Data resolution in seconds\n//   - from, to: Time range\n//   - ctx: Context (currently unused)\n//\n// Returns:\n//   - Map of hostname → JobData (metric → scope → JobMetric)\n//   - Error or partial error listing failed queries\nfunc (ccms *InternalMetricStore) LoadNodeListData(\n\tcluster, subCluster string,\n\tnodes []string,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tresolution int,\n\tfrom, to time.Time,\n\tctx context.Context,\n) (map[string]schema.JobData, error) {\n\t// Note: Order of node data is not guaranteed after this point\n\tqueries, assignedScope, err := buildNodeQueries(cluster, subCluster, nodes, metrics, scopes, int64(resolution))\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while building node queries for Cluster %s, SubCLuster %s, Metrics %v, Scopes %v: %s\", cluster, subCluster, metrics, scopes, err.Error())\n\t\treturn nil, err\n\t}\n\n\t// Verify assignment is correct - log any inconsistencies for debugging\n\tif len(queries) != len(assignedScope) {\n\t\tcclog.Errorf(\"Critical error: queries and assignedScope have different lengths after buildNodeQueries: %d vs %d\",\n\t\t\tlen(queries), len(assignedScope))\n\t}\n\n\treq := APIQueryRequest{\n\t\tCluster:   cluster,\n\t\tQueries:   queries,\n\t\tFrom:      from.Unix(),\n\t\tTo:        to.Unix(),\n\t\tWithStats: true,\n\t\tWithData:  true,\n\t}\n\n\tresBody, err := FetchData(req)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while fetching data : %s\", err.Error())\n\t\treturn nil, err\n\t}\n\n\tvar errors []string\n\tdata := make(map[string]schema.JobData)\n\n\t// Add safety check for index out of range issues\n\tif len(resBody.Results) != len(req.Queries) || len(assignedScope) != len(req.Queries) {\n\t\tcclog.Warnf(\"Mismatch in query results count: queries=%d, results=%d, assignedScope=%d\",\n\t\t\tlen(req.Queries), len(resBody.Results), len(assignedScope))\n\t\tif len(resBody.Results) > len(req.Queries) {\n\t\t\tresBody.Results = resBody.Results[:len(req.Queries)]\n\t\t}\n\t\tif len(assignedScope) > len(req.Queries) {\n\t\t\tassignedScope = assignedScope[:len(req.Queries)]\n\t\t}\n\t}\n\n\tfor i, row := range resBody.Results {\n\t\tvar query APIQuery\n\t\tif resBody.Queries != nil {\n\t\t\tif i < len(resBody.Queries) {\n\t\t\t\tquery = resBody.Queries[i]\n\t\t\t} else {\n\t\t\t\tcclog.Warnf(\"Index out of range prevented for resBody.Queries: i=%d, len=%d\",\n\t\t\t\t\ti, len(resBody.Queries))\n\t\t\t\tcontinue\n\t\t\t}\n\t\t} else {\n\t\t\tquery = req.Queries[i]\n\t\t}\n\n\t\tmetric := query.Metric\n\t\tscope := assignedScope[i]\n\t\tmc := archive.GetMetricConfig(cluster, metric)\n\t\tif mc == nil {\n\t\t\tcclog.Warnf(\"Metric config not found for %s on cluster %s\", metric, cluster)\n\t\t\tcontinue\n\t\t}\n\n\t\tres := mc.Timestep\n\t\tif len(row) > 0 {\n\t\t\tres = int(row[0].Resolution)\n\t\t}\n\n\t\t// Init Nested Map Data Structures If Not Found\n\t\thostData, ok := data[query.Hostname]\n\t\tif !ok {\n\t\t\thostData = make(schema.JobData)\n\t\t\tdata[query.Hostname] = hostData\n\t\t}\n\n\t\tmetricData, ok := hostData[metric]\n\t\tif !ok {\n\t\t\tmetricData = make(map[schema.MetricScope]*schema.JobMetric)\n\t\t\tdata[query.Hostname][metric] = metricData\n\t\t}\n\n\t\tscopeData, ok := metricData[scope]\n\t\tif !ok {\n\t\t\tscopeData = &schema.JobMetric{\n\t\t\t\tUnit:     mc.Unit,\n\t\t\t\tTimestep: res,\n\t\t\t\tSeries:   make([]schema.Series, 0),\n\t\t\t}\n\t\t\tdata[query.Hostname][metric][scope] = scopeData\n\t\t}\n\n\t\tfor ndx, res := range row {\n\t\t\tif res.Error != nil {\n\t\t\t\t/* Build list for \"partial errors\", if any */\n\t\t\t\terrors = append(errors, fmt.Sprintf(\"failed to fetch '%s' from host '%s': %s\", query.Metric, query.Hostname, *res.Error))\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tid := ExtractTypeID(query.Type, query.TypeIds, ndx, query.Metric, query.Hostname)\n\n\t\t\tSanitizeStats(&res.Avg, &res.Min, &res.Max)\n\n\t\t\tscopeData.Series = append(scopeData.Series, schema.Series{\n\t\t\t\tHostname: query.Hostname,\n\t\t\t\tID:       id,\n\t\t\t\tStatistics: schema.MetricStatistics{\n\t\t\t\t\tAvg: float64(res.Avg),\n\t\t\t\t\tMin: float64(res.Min),\n\t\t\t\t\tMax: float64(res.Max),\n\t\t\t\t},\n\t\t\t\tData: res.Data,\n\t\t\t})\n\t\t}\n\t}\n\n\tif len(errors) != 0 {\n\t\t/* Returns list of \"partial errors\" */\n\t\treturn data, fmt.Errorf(\"METRICDATA/INTERNAL-CCMS > Errors: %s\", strings.Join(errors, \", \"))\n\t}\n\n\treturn data, nil\n}\n\n// buildNodeQueries constructs APIQuery structures for node-based queries with scope transformation.\n//\n// Similar to buildQueries but operates on node lists rather than job resources.\n// Supports dynamic subcluster lookup when subCluster parameter is empty.\n//\n// Parameters:\n//   - cluster: Cluster name\n//   - subCluster: SubCluster name (empty = infer from node hostnames)\n//   - nodes: List of node hostnames\n//   - metrics: List of metric names\n//   - scopes: Requested metric scopes\n//   - resolution: Data resolution in seconds\n//\n// Returns:\n//   - []APIQuery: List of queries to execute\n//   - []schema.MetricScope: Assigned scope for each query\n//   - error: Returns error if topology lookup fails or unhandled scope combination\nfunc buildNodeQueries(\n\tcluster string,\n\tsubCluster string,\n\tnodes []string,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tresolution int64,\n) ([]APIQuery, []schema.MetricScope, error) {\n\tqueries := make([]APIQuery, 0, len(metrics)*len(scopes)*len(nodes))\n\tassignedScope := make([]schema.MetricScope, 0, len(metrics)*len(scopes)*len(nodes))\n\n\t// Get Topol before loop if subCluster given\n\tvar subClusterTopol *schema.SubCluster\n\tvar scterr error\n\tif subCluster != \"\" {\n\t\tsubClusterTopol, scterr = archive.GetSubCluster(cluster, subCluster)\n\t\tif scterr != nil {\n\t\t\tcclog.Errorf(\"could not load cluster %s subCluster %s topology: %s\", cluster, subCluster, scterr.Error())\n\t\t\treturn nil, nil, scterr\n\t\t}\n\t}\n\n\tfor _, metric := range metrics {\n\t\tmc := archive.GetMetricConfig(cluster, metric)\n\t\tif mc == nil {\n\t\t\tcclog.Warnf(\"metric '%s' is not specified for cluster '%s'\", metric, cluster)\n\t\t\tcontinue\n\t\t}\n\n\t\t// Skip if metric is removed for subcluster\n\t\tif mc.SubClusters != nil && IsMetricRemovedForSubCluster(mc, subCluster) {\n\t\t\tcontinue\n\t\t}\n\n\t\t// Avoid duplicates...\n\t\thandledScopes := make([]schema.MetricScope, 0, 3)\n\n\tnodeScopesLoop:\n\t\tfor _, requestedScope := range scopes {\n\t\t\tnativeScope := mc.Scope\n\n\t\t\tscope := nativeScope.Max(requestedScope)\n\t\t\tfor _, s := range handledScopes {\n\t\t\t\tif scope == s {\n\t\t\t\t\tcontinue nodeScopesLoop\n\t\t\t\t}\n\t\t\t}\n\t\t\thandledScopes = append(handledScopes, scope)\n\n\t\t\tfor _, hostname := range nodes {\n\n\t\t\t\t// If no subCluster given, get it by node\n\t\t\t\tif subCluster == \"\" {\n\t\t\t\t\tsubClusterName, scnerr := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\t\t\tif scnerr != nil {\n\t\t\t\t\t\treturn nil, nil, scnerr\n\t\t\t\t\t}\n\t\t\t\t\tsubClusterTopol, scterr = archive.GetSubCluster(cluster, subClusterName)\n\t\t\t\t\tif scterr != nil {\n\t\t\t\t\t\treturn nil, nil, scterr\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\t// Always full node hwthread id list, no partial queries expected\n\t\t\t\ttopology := subClusterTopol.Topology\n\t\t\t\tacceleratorIds := topology.GetAcceleratorIDs()\n\n\t\t\t\t// Moved check here if metric matches hardware specs\n\t\t\t\tif nativeScope == schema.MetricScopeAccelerator && len(acceleratorIds) == 0 {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tscopeResults, ok := BuildScopeQueries(\n\t\t\t\t\tnativeScope, requestedScope,\n\t\t\t\t\tmetric, hostname,\n\t\t\t\t\t&topology, topology.Node, acceleratorIds,\n\t\t\t\t)\n\n\t\t\t\tif !ok {\n\t\t\t\t\treturn nil, nil, fmt.Errorf(\"METRICDATA/INTERNAL-CCMS > unsupported scope transformation: native-scope=%s, requested-scope=%s\", nativeScope, requestedScope)\n\t\t\t\t}\n\n\t\t\t\tfor _, sr := range scopeResults {\n\t\t\t\t\tqueries = append(queries, APIQuery{\n\t\t\t\t\t\tMetric:     sr.Metric,\n\t\t\t\t\t\tHostname:   sr.Hostname,\n\t\t\t\t\t\tAggregate:  sr.Aggregate,\n\t\t\t\t\t\tType:       sr.Type,\n\t\t\t\t\t\tTypeIds:    sr.TypeIds,\n\t\t\t\t\t\tResolution: resolution,\n\t\t\t\t\t})\n\t\t\t\t\tassignedScope = append(assignedScope, sr.Scope)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\treturn queries, assignedScope, nil\n}\n","numLines":866,"startLine":1,"totalLines":866}},"sourceToolAssistantUUID":"5734c09b-ab74-4c3b-965d-149fbfd45518","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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+{"parentUuid":"1cba72d7-c5b0-4c87-8cb2-6703aba0ec61","isSidechain":false,"promptId":"1c46e1b2-ade5-44be-90d9-e93109c02833","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016yTnXvj6e5hD8eEe9LQ4cz","type":"tool_result","content":"   490→\n   491→\tif user := repository.GetUserFromContext(ctx); user != nil &&\n   492→\t\tjob.User != user.Username &&\n   493→\t\tuser.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n   494→\t\treturn nil, errors.New(\"you are not allowed to see this job\")\n   495→\t}\n   496→\n   497→\treturn job, nil\n   498→}\n   499→\n   500→// JobMetrics is the resolver for the jobMetrics field.\n   501→func (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int) ([]*model.JobMetricWithName, error) {\n   502→\tif resolution == nil { // Load from Config\n   503→\t\tif config.Keys.EnableResampling != nil {\n   504→\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n   505→\t\t\tresolution = &defaultRes\n   506→\t\t} else { // Set 0 (Loads configured metric timestep)\n   507→\t\t\tdefaultRes := 0\n   508→\t\t\tresolution = &defaultRes\n   509→\t\t}\n   510→\t}\n   511→\n   512→\tjob, err := r.Query().Job(ctx, id)\n   513→\tif err != nil {\n   514→\t\tcclog.Warn(\"Error while querying job for metrics\")\n   515→\t\treturn nil, err\n   516→\t}\n   517→\n   518→\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution)\n   519→\tif err != nil {"}]},"uuid":"59b18486-454c-4588-89c2-64b79ef97ec8","timestamp":"2026-03-19T19:46:31.493Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/internal/graph/schema.resolvers.go","content":"\n\tif user := repository.GetUserFromContext(ctx); user != nil &&\n\t\tjob.User != user.Username &&\n\t\tuser.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"you are not allowed to see this job\")\n\t}\n\n\treturn job, nil\n}\n\n// JobMetrics is the resolver for the jobMetrics field.\nfunc (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int) ([]*model.JobMetricWithName, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying job for metrics\")\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution)\n\tif err != nil {","numLines":30,"startLine":490,"totalLines":1077}},"sourceToolAssistantUUID":"1cba72d7-c5b0-4c87-8cb2-6703aba0ec61","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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+{"parentUuid":"f2b2f767-4ee1-4402-904c-473a0195e095","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01L9E2oSReHuM8he3szqc9u5","toolUseID":"toolu_01L9E2oSReHuM8he3szqc9u5","timestamp":"2026-03-19T19:46:32.231Z","uuid":"1af454d4-119a-402c-b111-6deab56a9c62","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
+{"parentUuid":"f2b2f767-4ee1-4402-904c-473a0195e095","isSidechain":false,"promptId":"1c46e1b2-ade5-44be-90d9-e93109c02833","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01L9E2oSReHuM8he3szqc9u5","type":"tool_result","content":"   860→\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n   861→\t\t\t\t\tName:   metric,\n   862→\t\t\t\t\tScope:  schema.MetricScopeNode,\n   863→\t\t\t\t\tMetric: scopedMetric,\n   864→\t\t\t\t})\n   865→\t\t\t}\n   866→\t\t}\n   867→\n   868→\t\tnodeMetrics = append(nodeMetrics, host)\n   869→\t}\n   870→\n   871→\treturn nodeMetrics, nil\n   872→}\n   873→\n   874→// NodeMetricsList is the resolver for the nodeMetricsList field.\n   875→func (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int) (*model.NodesResultList, error) {\n   876→\tif resolution == nil { // Load from Config\n   877→\t\tif config.Keys.EnableResampling != nil {\n   878→\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n   879→\t\t\tresolution = &defaultRes\n   880→\t\t} else { // Set 0 (Loads configured metric timestep)\n   881→\t\t\tdefaultRes := 0\n   882→\t\t\tresolution = &defaultRes\n   883→\t\t}\n   884→\t}\n   885→\n   886→\tuser := repository.GetUserFromContext(ctx)\n   887→\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n   888→\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n   889→\t}\n   890→\n   891→\tnodeRepo := repository.GetNodeRepository()\n   892→\t// nodes -> array hostname\n   893→\tnodes, nodeStateMap, metricHealthMap, countNodes, hasNextPage, nerr := nodeRepo.GetNodesForList(ctx, cluster, subCluster, stateFilter, nodeFilter, page)\n   894→\tif nerr != nil {\n   895→\t\treturn nil, errors.New(\"could not retrieve node list required for resolving NodeMetricsList\")\n   896→\t}\n   897→\n   898→\tif metrics == nil {\n   899→\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {"}]},"uuid":"b658cfae-754d-46c8-932e-2c3e2afd8004","timestamp":"2026-03-19T19:46:32.230Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/internal/graph/schema.resolvers.go","content":"\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName:   metric,\n\t\t\t\t\tScope:  schema.MetricScopeNode,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetrics = append(nodeMetrics, host)\n\t}\n\n\treturn nodeMetrics, nil\n}\n\n// NodeMetricsList is the resolver for the nodeMetricsList field.\nfunc (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int) (*model.NodesResultList, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\t// nodes -> array hostname\n\tnodes, nodeStateMap, metricHealthMap, countNodes, hasNextPage, nerr := nodeRepo.GetNodesForList(ctx, cluster, subCluster, stateFilter, nodeFilter, page)\n\tif nerr != nil {\n\t\treturn nil, errors.New(\"could not retrieve node list required for resolving NodeMetricsList\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {","numLines":40,"startLine":860,"totalLines":1077}},"sourceToolAssistantUUID":"f2b2f767-4ee1-4402-904c-473a0195e095","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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+{"parentUuid":"d818f944-32aa-458a-a104-d54319be0638","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01LjZNakoGom5UaRGqQajaK3","toolUseID":"toolu_01LjZNakoGom5UaRGqQajaK3","timestamp":"2026-03-19T19:46:36.837Z","uuid":"0a9669d5-b30f-4be5-9c23-43ce384f521d","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
+{"parentUuid":"d818f944-32aa-458a-a104-d54319be0638","isSidechain":false,"promptId":"1c46e1b2-ade5-44be-90d9-e93109c02833","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LjZNakoGom5UaRGqQajaK3","type":"tool_result","content":"   898→\tif metrics == nil {\n   899→\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n   900→\t\t\tmetrics = append(metrics, mc.Name)\n   901→\t\t}\n   902→\t}\n   903→\n   904→\t// data -> map hostname:jobdata\n   905→\tdata, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx)\n   906→\tif err != nil {\n   907→\t\tcclog.Warn(\"error while loading node data (Resolver.NodeMetricsList\")\n   908→\t\treturn nil, err\n   909→\t}\n   910→\n   911→\tnodeMetricsList := make([]*model.NodeMetrics, 0, len(data))\n   912→\tfor _, hostname := range nodes {\n   913→\t\thost := &model.NodeMetrics{\n   914→\t\t\tHost:         hostname,\n   915→\t\t\tNodeState:    nodeStateMap[hostname],\n   916→\t\t\tMetricHealth: metricHealthMap[hostname],\n   917→\t\t\tMetrics:      make([]*model.JobMetricWithName, 0),\n   918→\t\t}\n   919→\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n   920→\t\tif err != nil {\n   921→\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n   922→\t\t}\n   923→\n   924→\t\tfor metric, scopedMetrics := range data[hostname] {\n   925→\t\t\tfor scope, scopedMetric := range scopedMetrics {\n   926→\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n   927→\t\t\t\t\tName:   metric,\n   928→\t\t\t\t\tScope:  scope,\n   929→\t\t\t\t\tMetric: scopedMetric,\n   930→\t\t\t\t})\n   931→\t\t\t}\n   932→\t\t}\n   933→\n   934→\t\tnodeMetricsList = append(nodeMetricsList, host)\n   935→\t}\n   936→\n   937→\tnodeMetricsListResult := &model.NodesResultList{"}]},"uuid":"aece1d4c-3f1e-4eb1-a62d-a3dc89999aec","timestamp":"2026-03-19T19:46:36.836Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/internal/graph/schema.resolvers.go","content":"\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\t// data -> map hostname:jobdata\n\tdata, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data (Resolver.NodeMetricsList\")\n\t\treturn nil, err\n\t}\n\n\tnodeMetricsList := make([]*model.NodeMetrics, 0, len(data))\n\tfor _, hostname := range nodes {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost:         hostname,\n\t\t\tNodeState:    nodeStateMap[hostname],\n\t\t\tMetricHealth: metricHealthMap[hostname],\n\t\t\tMetrics:      make([]*model.JobMetricWithName, 0),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range data[hostname] {\n\t\t\tfor scope, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName:   metric,\n\t\t\t\t\tScope:  scope,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetricsList = append(nodeMetricsList, host)\n\t}\n\n\tnodeMetricsListResult := &model.NodesResultList{","numLines":40,"startLine":898,"totalLines":1077}},"sourceToolAssistantUUID":"d818f944-32aa-458a-a104-d54319be0638","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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NaN values are skipped;\n// if all values in a bucket are NaN, the output for that bucket is NaN.\n//\n// Parameters:\n//   - data: input time-series data points\n//   - oldFrequency: original sampling frequency\n//   - newFrequency: target sampling frequency (must be a multiple of oldFrequency)\n//\n// Returns:\n//   - Averaged data slice\n//   - Actual frequency used\n//   - Error if newFrequency is not a multiple of oldFrequency\nfunc AverageResampler(data []schema.Float, oldFrequency int64, newFrequency int64) ([]schema.Float, int64, error) {\n\tnewDataLength, step, err := validateFrequency(len(data), oldFrequency, newFrequency)\n\tif err != nil {\n\t\treturn nil, 0, err\n\t}\n\tif newDataLength == -1 {\n\t\treturn data, oldFrequency, nil\n\t}\n\n\tnewData := make([]schema.Float, newDataLength)\n\tfor i := range newDataLength {\n\t\tsum := 0.0\n\t\tcount := 0\n\t\tbase := i * step\n\t\tfor j := range step {\n\t\t\tv := float64(data[base+j])\n\t\t\tif !math.IsNaN(v) {\n\t\t\t\tsum += v\n\t\t\t\tcount++\n\t\t\t}\n\t\t}\n\t\tif count == 0 {\n\t\t\tnewData[i] = schema.NaN\n\t\t} else {\n\t\t\tnewData[i] = schema.Float(sum / float64(count))\n\t\t}\n\t}\n\n\treturn newData, newFrequency, nil\n}\n\nfunc SetMinimumRequiredPoints(setVal int) {\n\tMinimumRequiredPoints = setVal\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-lib.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package resampler provides time-series data downsampling algorithms.\n//\n// This package implements two downsampling strategies for reducing the number\n// of data points in time-series data while preserving important characteristics:\n//\n//   - SimpleResampler: A fast, straightforward algorithm that selects every nth point\n//   - LargestTriangleThreeBucket (LTTB): A perceptually-aware algorithm that preserves\n//     visual characteristics by selecting points that maximize the area of triangles\n//     formed with neighboring points\n//\n// Both algorithms are designed to work with schema.Float data and handle NaN values\n// appropriately. They require that the new sampling frequency is a multiple of the\n// old frequency.\n//\n// References:\n//   - LTTB Algorithm: https://skemman.is/bitstream/1946/15343/3/SS_MSthesis.pdf\n//   - Implementation adapted from: https://github.com/haoel/downsampling\npackage resampler\n\nimport (\n\t\"fmt\"\n\t\"math\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// MinimumRequiredPoints is the default number of points required to trigger resampling.\n// If the data has fewer points, the original time series will be returned without resampling.\nvar MinimumRequiredPoints int = 1000\n\n// calculateTriangleArea computes the area of a triangle defined by three points.\n//\n// The area is calculated using the cross product formula:\n// Area = 0.5 * |((paX - pcX) * (pbY - paY)) - ((paX - pbX) * (pcY - paY))|\n//\n// This is used by the LTTB algorithm to determine which points preserve the\n// most visual information when downsampling.\nfunc calculateTriangleArea(paX, paY, pbX, pbY, pcX, pcY schema.Float) float64 {\n\tarea := ((paX-pcX)*(pbY-paY) - (paX-pbX)*(pcY-paY)) * 0.5\n\treturn math.Abs(float64(area))\n}\n\n// calculateAverageDataPoint computes the average point from a slice of data points.\n//\n// Parameters:\n//   - points: slice of Y values to average\n//   - xStart: starting X coordinate for the points\n//\n// Returns:\n//   - avgX: average X coordinate\n//   - avgY: average Y value, or NaN if any input point is NaN\n//\n// This function is used by LTTB to find the centroid of points in a bucket,\n// which is then used to calculate triangle areas for point selection.\nfunc calculateAverageDataPoint(points []schema.Float, xStart int64) (avgX schema.Float, avgY schema.Float) {\n\thasNaN := false\n\tfor _, point := range points {\n\t\tavgX += schema.Float(xStart)\n\t\tavgY += point\n\t\txStart++\n\t\tif math.IsNaN(float64(point)) {\n\t\t\thasNaN = true\n\t\t}\n\t}\n\n\tl := schema.Float(len(points))\n\tavgX /= l\n\tavgY /= l\n\n\tif hasNaN {\n\t\treturn avgX, schema.NaN\n\t}\n\treturn avgX, avgY\n}\n\n// SimpleResampler performs simple downsampling by selecting every nth point.\n//\n// This is the fastest downsampling method but may miss important features in the data.\n// It works by calculating a step size (newFrequency / oldFrequency) and selecting\n// every step-th point from the original data.\n//\n// Parameters:\n//   - data: input time-series data points\n//   - oldFrequency: original sampling frequency (points per time unit)\n//   - newFrequency: target sampling frequency (must be a multiple of oldFrequency)\n//\n// Returns:\n//   - Downsampled data slice\n//   - Actual frequency used (may be oldFrequency if downsampling wasn't performed)\n//   - Error if newFrequency is not a multiple of oldFrequency\n//\n// The function returns the original data unchanged if:\n//   - Either frequency is 0\n//   - newFrequency <= oldFrequency (no downsampling needed)\n//   - The resulting data would have fewer than 1 point\n//   - The original data has fewer than 100 points\n//   - The downsampled data would have the same or more points than the original\n//\n// Example:\n//\n//\tdata := []schema.Float{1.0, 2.0, 3.0, 4.0, 5.0, 6.0}\n//\tdownsampled, freq, err := SimpleResampler(data, 1, 2)\n//\t// Returns: [1.0, 3.0, 5.0], 2, nil\nfunc SimpleResampler(data []schema.Float, oldFrequency int64, newFrequency int64) ([]schema.Float, int64, error) {\n\t// checks if the frequencies are valid or not.\n\tnewDataLength, step, err := validateFrequency(len(data), oldFrequency, newFrequency)\n\tif err != nil {\n\t\treturn nil, 0, err\n\t}\n\tif newDataLength == -1 {\n\t\treturn data, oldFrequency, nil\n\t}\n\n\tnewData := make([]schema.Float, newDataLength)\n\tfor i := range newDataLength {\n\t\tnewData[i] = data[i*step]\n\t}\n\n\treturn newData, newFrequency, nil\n}\n\nfunc validateFrequency(lenData int, oldFrequency, newFrequency int64) (int, int, error) {\n\t// Validate inputs and check if downsampling is needed\n\tif oldFrequency == 0 || newFrequency == 0 || newFrequency <= oldFrequency {\n\t\treturn -1, 0, nil\n\t}\n\n\t// Ensure new frequency is a multiple of old frequency\n\tif newFrequency%oldFrequency != 0 {\n\t\treturn -1, 0, fmt.Errorf(\"new sampling frequency (%d) must be a multiple of old frequency (%d)\", newFrequency, oldFrequency)\n\t}\n\n\tstep := int(newFrequency / oldFrequency)\n\tnewDataLength := lenData / step\n\n\t// Don't downsample if result would be trivial or counterproductive\n\tif (newDataLength == 0) || (lenData < MinimumRequiredPoints) || (newDataLength >= lenData) {\n\t\treturn -1, 0, nil\n\t}\n\n\treturn newDataLength, step, nil\n}\n\n// LargestTriangleThreeBucket (LTTB) performs perceptually-aware downsampling.\n//\n// LTTB is a downsampling algorithm that preserves the visual characteristics of\n// time-series data by selecting points that form the largest triangles with their\n// neighbors. This ensures that important peaks, valleys, and trends are retained\n// even when significantly reducing the number of points.\n//\n// Algorithm Overview:\n//  1. The data is divided into buckets (except first and last points which are always kept)\n//  2. For each bucket, the algorithm selects the point that forms the largest triangle\n//     with the previous selected point and the average of the next bucket\n//  3. This maximizes the visual area and preserves important features\n//\n// Time Complexity: O(n) where n is the number of input points\n// Space Complexity: O(m) where m is the number of output points\n//\n// Parameters:\n//   - data: input time-series data points\n//   - oldFrequency: original sampling frequency (points per time unit)\n//   - newFrequency: target sampling frequency (must be a multiple of oldFrequency)\n//\n// Returns:\n//   - Downsampled data slice\n//   - Actual frequency used (may be oldFrequency if downsampling wasn't performed)\n//   - Error if newFrequency is not a multiple of oldFrequency\n//\n// The function returns the original data unchanged if:\n//   - Either frequency is 0\n//   - newFrequency <= oldFrequency (no downsampling needed)\n//   - The resulting data would have fewer than 1 point\n//   - The original data has fewer than 100 points\n//   - The downsampled data would have the same or more points than the original\n//\n// NaN Handling:\n// The algorithm properly handles NaN values and preserves them in the output when\n// they represent the maximum area point in a bucket.\n//\n// Example:\n//\n//\tdata := []schema.Float{1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0}\n//\tdownsampled, freq, err := LargestTriangleThreeBucket(data, 1, 2)\n//\t// Returns downsampled data preserving visual characteristics\n//\n// References:\n//   - Original paper: https://skemman.is/bitstream/1946/15343/3/SS_MSthesis.pdf\n//   - Adapted from: https://github.com/haoel/downsampling/blob/master/core/lttb.go\nfunc LargestTriangleThreeBucket(data []schema.Float, oldFrequency int64, newFrequency int64) ([]schema.Float, int64, error) {\n\t// checks if the frequencies are valid or not.\n\tnewDataLength, _, err := validateFrequency(len(data), oldFrequency, newFrequency)\n\tif err != nil {\n\t\treturn nil, 0, err\n\t}\n\tif newDataLength == -1 {\n\t\treturn data, oldFrequency, nil\n\t}\n\n\tnewData := make([]schema.Float, 0, newDataLength)\n\n\t// Bucket size. Leave room for start and end data points\n\tbucketSize := float64(len(data)-2) / float64(newDataLength-2)\n\n\t// Always add the first point\n\tnewData = append(newData, data[0])\n\n\t// Bucket pointers:\n\t// - bucketLow: current bucket's start\n\t// - bucketMiddle: current bucket's end (also next bucket's start)\n\t// - bucketHigh: next bucket's end\n\tbucketLow := 1\n\tbucketMiddle := int(math.Floor(bucketSize)) + 1\n\n\tvar prevMaxAreaPoint int\n\n\t// Process each bucket (excluding first and last points)\n\tfor i := 0; i < newDataLength-2; i++ {\n\t\tbucketHigh := int(math.Floor(float64(i+2)*bucketSize)) + 1\n\t\tif bucketHigh >= len(data)-1 {\n\t\t\tbucketHigh = len(data) - 2\n\t\t}\n\n\t\t// Calculate average point for next bucket (point c in triangle)\n\t\tavgPointX, avgPointY := calculateAverageDataPoint(data[bucketMiddle:bucketHigh+1], int64(bucketMiddle))\n\n\t\t// Get the range for current bucket\n\t\tcurrBucketStart := bucketLow\n\t\tcurrBucketEnd := bucketMiddle\n\n\t\t// Point a (previously selected point)\n\t\tpointX := prevMaxAreaPoint\n\t\tpointY := data[prevMaxAreaPoint]\n\n\t\tmaxArea := -1.0\n\t\tvar maxAreaPoint int\n\t\tflag_ := 0\n\n\t\t// Find the point in current bucket that forms the largest triangle\n\t\tfor ; currBucketStart < currBucketEnd; currBucketStart++ {\n\t\t\tarea := calculateTriangleArea(\n\t\t\t\tschema.Float(pointX), pointY,\n\t\t\t\tavgPointX, avgPointY,\n\t\t\t\tschema.Float(currBucketStart), data[currBucketStart],\n\t\t\t)\n\n\t\t\tif area > maxArea || math.IsNaN(area) {\n\t\t\t\tmaxArea = area\n\t\t\t\tmaxAreaPoint = currBucketStart\n\t\t\t}\n\t\t\t// if math.IsNaN(float64(avgPointY)) {\n\t\t\t// \tflag_ = 1\n\t\t\t// }\n\t\t}\n\n\t\t// Add the point with maximum area from this bucket\n\t\tif flag_ == 1 {\n\t\t\tnewData = append(newData, schema.NaN) // Pick this point from the bucket\n\t\t} else {\n\t\t\tnewData = append(newData, data[maxAreaPoint]) // Pick this point from the bucket\n\t\t}\n\n\t\tprevMaxAreaPoint = maxAreaPoint\n\n\t\t// Move to the next bucket\n\t\tbucketLow = bucketMiddle\n\t\tbucketMiddle = bucketHigh\n\t}\n\n\t// Always add the last point\n\tnewData = append(newData, data[len(data)-1])\n\n\treturn newData, newFrequency, nil\n}\n\nfunc SetMinimumRequiredPoints(setVal int) {\n\tMinimumRequiredPoints = setVal\n}\n","structuredPatch":[{"oldStart":278,"oldLines":6,"newStart":278,"newLines":71,"lines":["   return newData, newFrequency, nil"," }"," ","+// ResamplerFunc is the signature shared by all resampler algorithms.","+type ResamplerFunc func(data []schema.Float, oldFrequency int64, newFrequency int64) ([]schema.Float, int64, error)","+","+// GetResampler returns the resampler function for the given name.","+// Valid names: \"lttb\" (default), \"average\", \"simple\". Empty string returns LTTB.","+func GetResampler(name string) (ResamplerFunc, error) {","+  switch name {","+  case \"\", \"lttb\":","+    return LargestTriangleThreeBucket, nil","+  case \"average\":","+    return AverageResampler, nil","+  case \"simple\":","+    return SimpleResampler, nil","+  default:","+    return nil, fmt.Errorf(\"unknown resampler algorithm: %s\", name)","+  }","+}","+","+// AverageResampler performs RRDTool-style average consolidation by dividing data into","+// fixed-size buckets and computing the arithmetic mean of all valid points in each bucket.","+//","+// This produces scientifically accurate averages over time intervals, unlike LTTB which","+// preserves visual shape, or SimpleResampler which decimates. NaN values are skipped;","+// if all values in a bucket are NaN, the output for that bucket is NaN.","+//","+// Parameters:","+//   - data: input time-series data points","+//   - oldFrequency: original sampling frequency","+//   - newFrequency: target sampling frequency (must be a multiple of oldFrequency)","+//","+// Returns:","+//   - Averaged data slice","+//   - Actual frequency used","+//   - Error if newFrequency is not a multiple of oldFrequency","+func AverageResampler(data []schema.Float, oldFrequency int64, newFrequency int64) ([]schema.Float, int64, error) {","+  newDataLength, step, err := validateFrequency(len(data), oldFrequency, newFrequency)","+  if err != nil {","+    return nil, 0, err","+  }","+  if newDataLength == -1 {","+    return data, oldFrequency, nil","+  }","+","+  newData := make([]schema.Float, newDataLength)","+  for i := range newDataLength {","+    sum := 0.0","+    count := 0","+    base := i * step","+    for j := range step {","+      v := float64(data[base+j])","+      if !math.IsNaN(v) {","+        sum += v","+        count++","+      }","+    }","+    if count == 0 {","+      newData[i] = schema.NaN","+    } else {","+      newData[i] = schema.Float(sum / float64(count))","+    }","+  }","+","+  return newData, newFrequency, nil","+}","+"," func SetMinimumRequiredPoints(setVal int) {","   MinimumRequiredPoints = setVal"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"71c7ee6d-60c2-425d-ba31-0f0e8ad7b87f","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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+{"parentUuid":"1ec0c3c4-0baf-4ddc-b7eb-f1e14566a76c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01VkFHqjxHKFMpU81JzbRVYA","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FVbjg3sfhPnBh514UT7bYK","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-lib/resampler/resampler_test.go","old_string":"// Benchmark tests\n\nfunc BenchmarkSimpleResampler(b *testing.B) {","new_string":"// TestAverageResampler tests the AverageResampler function\nfunc TestAverageResampler(t *testing.T) {\n\tSetMinimumRequiredPoints(100)\n\tdefer SetMinimumRequiredPoints(1000)\n\n\ttests := []struct {\n\t\tname         string\n\t\tdata         []schema.Float\n\t\toldFrequency int64\n\t\tnewFrequency int64\n\t\texpectedLen  int\n\t\texpectedFreq int64\n\t\texpectError  bool\n\t\tcheckValues  bool\n\t\texpectedData []schema.Float\n\t}{\n\t\t{\n\t\t\tname:         \"Basic averaging step=2\",\n\t\t\tdata:         makeTestData(200, 1.0),\n\t\t\toldFrequency: 1,\n\t\t\tnewFrequency: 2,\n\t\t\texpectedLen:  100,\n\t\t\texpectedFreq: 2,\n\t\t},\n\t\t{\n\t\t\tname:         \"No downsampling needed (new <= old)\",\n\t\t\tdata:         makeTestData(200, 1.0),\n\t\t\toldFrequency: 2,\n\t\t\tnewFrequency: 1,\n\t\t\texpectedLen:  200,\n\t\t\texpectedFreq: 2,\n\t\t},\n\t\t{\n\t\t\tname:         \"Zero old frequency\",\n\t\t\tdata:         makeTestData(200, 1.0),\n\t\t\toldFrequency: 0,\n\t\t\tnewFrequency: 2,\n\t\t\texpectedLen:  200,\n\t\t\texpectedFreq: 0,\n\t\t},\n\t\t{\n\t\t\tname:         \"Zero new frequency\",\n\t\t\tdata:         makeTestData(200, 1.0),\n\t\t\toldFrequency: 1,\n\t\t\tnewFrequency: 0,\n\t\t\texpectedLen:  200,\n\t\t\texpectedFreq: 1,\n\t\t},\n\t\t{\n\t\t\tname:         \"Non-multiple frequency\",\n\t\t\tdata:         makeTestData(200, 1.0),\n\t\t\toldFrequency: 3,\n\t\t\tnewFrequency: 7,\n\t\t\texpectError:  true,\n\t\t},\n\t\t{\n\t\t\tname:         \"Small dataset (< 100 points)\",\n\t\t\tdata:         makeTestData(50, 1.0),\n\t\t\toldFrequency: 1,\n\t\t\tnewFrequency: 2,\n\t\t\texpectedLen:  50,\n\t\t\texpectedFreq: 1,\n\t\t},\n\t\t{\n\t\t\tname:         \"Large downsampling factor\",\n\t\t\tdata:         makeTestData(1000, 1.0),\n\t\t\toldFrequency: 1,\n\t\t\tnewFrequency: 10,\n\t\t\texpectedLen:  100,\n\t\t\texpectedFreq: 10,\n\t\t},\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(tt.name, func(t *testing.T) {\n\t\t\tresult, freq, err := AverageResampler(tt.data, tt.oldFrequency, tt.newFrequency)\n\n\t\t\tif tt.expectError {\n\t\t\t\tif err == nil {\n\t\t\t\t\tt.Errorf(\"AverageResampler() expected error, got nil\")\n\t\t\t\t}\n\t\t\t\treturn\n\t\t\t}\n\n\t\t\tif err != nil {\n\t\t\t\tt.Errorf(\"AverageResampler() unexpected error: %v\", err)\n\t\t\t\treturn\n\t\t\t}\n\n\t\t\tif len(result) != tt.expectedLen {\n\t\t\t\tt.Errorf(\"AverageResampler() result length = %v, want %v\", len(result), tt.expectedLen)\n\t\t\t}\n\n\t\t\tif freq != tt.expectedFreq {\n\t\t\t\tt.Errorf(\"AverageResampler() frequency = %v, want %v\", freq, tt.expectedFreq)\n\t\t\t}\n\n\t\t\tif tt.checkValues && tt.expectedData != nil {\n\t\t\t\tfor i := range result {\n\t\t\t\t\tif math.Abs(float64(result[i]-tt.expectedData[i])) > 1e-10 {\n\t\t\t\t\t\tt.Errorf(\"AverageResampler() result[%d] = %v, want %v\", i, result[i], tt.expectedData[i])\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t})\n\t}\n}\n\n// TestAverageResamplerValues tests exact output values of AverageResampler\nfunc TestAverageResamplerValues(t *testing.T) {\n\tSetMinimumRequiredPoints(3)\n\tdefer SetMinimumRequiredPoints(1000)\n\n\t// [1,2,3,4,5,6] step=2 -> [1.5, 3.5, 5.5]\n\tdata := []schema.Float{1, 2, 3, 4, 5, 6}\n\tresult, freq, err := AverageResampler(data, 1, 2)\n\tif err != nil {\n\t\tt.Fatalf(\"unexpected error: %v\", err)\n\t}\n\tif freq != 2 {\n\t\tt.Errorf(\"frequency = %v, want 2\", freq)\n\t}\n\texpected := []schema.Float{1.5, 3.5, 5.5}\n\tif len(result) != len(expected) {\n\t\tt.Fatalf(\"result length = %v, want %v\", len(result), len(expected))\n\t}\n\tfor i := range expected {\n\t\tif math.Abs(float64(result[i]-expected[i])) > 1e-10 {\n\t\t\tt.Errorf(\"result[%d] = %v, want %v\", i, result[i], expected[i])\n\t\t}\n\t}\n}\n\n// TestAverageResamplerNaN tests NaN handling in AverageResampler\nfunc TestAverageResamplerNaN(t *testing.T) {\n\tSetMinimumRequiredPoints(3)\n\tdefer SetMinimumRequiredPoints(1000)\n\n\t// NaN skipping: [1, NaN, 3, 4] step=2 -> [1.0, 3.5]\n\tdata := []schema.Float{1, schema.NaN, 3, 4}\n\tresult, _, err := AverageResampler(data, 1, 2)\n\tif err != nil {\n\t\tt.Fatalf(\"unexpected error: %v\", err)\n\t}\n\tif len(result) != 2 {\n\t\tt.Fatalf(\"result length = %v, want 2\", len(result))\n\t}\n\tif math.Abs(float64(result[0]-1.0)) > 1e-10 {\n\t\tt.Errorf(\"result[0] = %v, want 1.0\", result[0])\n\t}\n\tif math.Abs(float64(result[1]-3.5)) > 1e-10 {\n\t\tt.Errorf(\"result[1] = %v, want 3.5\", result[1])\n\t}\n\n\t// All-NaN bucket: [NaN, NaN, 3, 4] step=2 -> [NaN, 3.5]\n\tdata2 := []schema.Float{schema.NaN, schema.NaN, 3, 4}\n\tresult2, _, err := AverageResampler(data2, 1, 2)\n\tif err != nil {\n\t\tt.Fatalf(\"unexpected error: %v\", err)\n\t}\n\tif !math.IsNaN(float64(result2[0])) {\n\t\tt.Errorf(\"result[0] = %v, want NaN\", result2[0])\n\t}\n\tif math.Abs(float64(result2[1]-3.5)) > 1e-10 {\n\t\tt.Errorf(\"result[1] = %v, want 3.5\", result2[1])\n\t}\n}\n\n// TestGetResampler tests the GetResampler lookup function\nfunc TestGetResampler(t *testing.T) {\n\ttests := []struct {\n\t\tname      string\n\t\texpectErr bool\n\t}{\n\t\t{\"\", false},\n\t\t{\"lttb\", false},\n\t\t{\"average\", false},\n\t\t{\"simple\", false},\n\t\t{\"unknown\", true},\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(\"name=\"+tt.name, func(t *testing.T) {\n\t\t\tfn, err := GetResampler(tt.name)\n\t\t\tif tt.expectErr {\n\t\t\t\tif err == nil {\n\t\t\t\t\tt.Error(\"expected error, got nil\")\n\t\t\t\t}\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err != nil {\n\t\t\t\tt.Errorf(\"unexpected error: %v\", err)\n\t\t\t}\n\t\t\tif fn == nil {\n\t\t\t\tt.Error(\"expected non-nil function\")\n\t\t\t}\n\t\t})\n\t}\n}\n\n// Benchmark tests\n\nfunc BenchmarkAverageResampler(b *testing.B) {\n\tdata := makeTestData(10000, 1.0)\n\tb.ResetTimer()\n\tfor i := 0; i < b.N; i++ {\n\t\t_, _, _ = AverageResampler(data, 1, 10)\n\t}\n}\n\nfunc BenchmarkSimpleResampler(b *testing.B) 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bool\n\t\tcheckValues  bool\n\t\texpectedData []schema.Float\n\t}{\n\t\t{\n\t\t\tname:         \"Basic averaging step=2\",\n\t\t\tdata:         makeTestData(200, 1.0),\n\t\t\toldFrequency: 1,\n\t\t\tnewFrequency: 2,\n\t\t\texpectedLen:  100,\n\t\t\texpectedFreq: 2,\n\t\t},\n\t\t{\n\t\t\tname:         \"No downsampling needed (new <= old)\",\n\t\t\tdata:         makeTestData(200, 1.0),\n\t\t\toldFrequency: 2,\n\t\t\tnewFrequency: 1,\n\t\t\texpectedLen:  200,\n\t\t\texpectedFreq: 2,\n\t\t},\n\t\t{\n\t\t\tname:         \"Zero old frequency\",\n\t\t\tdata:         makeTestData(200, 1.0),\n\t\t\toldFrequency: 0,\n\t\t\tnewFrequency: 2,\n\t\t\texpectedLen:  200,\n\t\t\texpectedFreq: 0,\n\t\t},\n\t\t{\n\t\t\tname:         \"Zero new frequency\",\n\t\t\tdata:         makeTestData(200, 1.0),\n\t\t\toldFrequency: 1,\n\t\t\tnewFrequency: 0,\n\t\t\texpectedLen:  200,\n\t\t\texpectedFreq: 1,\n\t\t},\n\t\t{\n\t\t\tname:         \"Non-multiple frequency\",\n\t\t\tdata:         makeTestData(200, 1.0),\n\t\t\toldFrequency: 3,\n\t\t\tnewFrequency: 7,\n\t\t\texpectError:  true,\n\t\t},\n\t\t{\n\t\t\tname:         \"Small dataset (< 100 points)\",\n\t\t\tdata:         makeTestData(50, 1.0),\n\t\t\toldFrequency: 1,\n\t\t\tnewFrequency: 2,\n\t\t\texpectedLen:  50,\n\t\t\texpectedFreq: 1,\n\t\t},\n\t\t{\n\t\t\tname:         \"Large downsampling factor\",\n\t\t\tdata:         makeTestData(1000, 1.0),\n\t\t\toldFrequency: 1,\n\t\t\tnewFrequency: 10,\n\t\t\texpectedLen:  100,\n\t\t\texpectedFreq: 10,\n\t\t},\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(tt.name, func(t *testing.T) {\n\t\t\tresult, freq, err := AverageResampler(tt.data, tt.oldFrequency, tt.newFrequency)\n\n\t\t\tif tt.expectError {\n\t\t\t\tif err == nil {\n\t\t\t\t\tt.Errorf(\"AverageResampler() expected error, got nil\")\n\t\t\t\t}\n\t\t\t\treturn\n\t\t\t}\n\n\t\t\tif err != nil {\n\t\t\t\tt.Errorf(\"AverageResampler() unexpected error: %v\", err)\n\t\t\t\treturn\n\t\t\t}\n\n\t\t\tif len(result) != tt.expectedLen {\n\t\t\t\tt.Errorf(\"AverageResampler() result length = %v, want %v\", len(result), tt.expectedLen)\n\t\t\t}\n\n\t\t\tif freq != tt.expectedFreq {\n\t\t\t\tt.Errorf(\"AverageResampler() frequency = %v, want %v\", freq, tt.expectedFreq)\n\t\t\t}\n\n\t\t\tif tt.checkValues && tt.expectedData != nil {\n\t\t\t\tfor i := range result {\n\t\t\t\t\tif math.Abs(float64(result[i]-tt.expectedData[i])) > 1e-10 {\n\t\t\t\t\t\tt.Errorf(\"AverageResampler() result[%d] = %v, want %v\", i, result[i], tt.expectedData[i])\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t})\n\t}\n}\n\n// TestAverageResamplerValues tests exact output values of AverageResampler\nfunc TestAverageResamplerValues(t *testing.T) {\n\tSetMinimumRequiredPoints(3)\n\tdefer SetMinimumRequiredPoints(1000)\n\n\t// [1,2,3,4,5,6] step=2 -> [1.5, 3.5, 5.5]\n\tdata := []schema.Float{1, 2, 3, 4, 5, 6}\n\tresult, freq, err := AverageResampler(data, 1, 2)\n\tif err != nil {\n\t\tt.Fatalf(\"unexpected error: %v\", err)\n\t}\n\tif freq != 2 {\n\t\tt.Errorf(\"frequency = %v, want 2\", freq)\n\t}\n\texpected := []schema.Float{1.5, 3.5, 5.5}\n\tif len(result) != len(expected) {\n\t\tt.Fatalf(\"result length = %v, want %v\", len(result), len(expected))\n\t}\n\tfor i := range expected {\n\t\tif math.Abs(float64(result[i]-expected[i])) > 1e-10 {\n\t\t\tt.Errorf(\"result[%d] = %v, want %v\", i, result[i], expected[i])\n\t\t}\n\t}\n}\n\n// TestAverageResamplerNaN tests NaN handling in AverageResampler\nfunc TestAverageResamplerNaN(t *testing.T) {\n\tSetMinimumRequiredPoints(3)\n\tdefer SetMinimumRequiredPoints(1000)\n\n\t// NaN skipping: [1, NaN, 3, 4] step=2 -> [1.0, 3.5]\n\tdata := []schema.Float{1, schema.NaN, 3, 4}\n\tresult, _, err := AverageResampler(data, 1, 2)\n\tif err != nil {\n\t\tt.Fatalf(\"unexpected error: %v\", err)\n\t}\n\tif len(result) != 2 {\n\t\tt.Fatalf(\"result length = %v, want 2\", len(result))\n\t}\n\tif math.Abs(float64(result[0]-1.0)) > 1e-10 {\n\t\tt.Errorf(\"result[0] = %v, want 1.0\", result[0])\n\t}\n\tif math.Abs(float64(result[1]-3.5)) > 1e-10 {\n\t\tt.Errorf(\"result[1] = %v, want 3.5\", result[1])\n\t}\n\n\t// All-NaN bucket: [NaN, NaN, 3, 4] step=2 -> [NaN, 3.5]\n\tdata2 := []schema.Float{schema.NaN, schema.NaN, 3, 4}\n\tresult2, _, err := AverageResampler(data2, 1, 2)\n\tif err != nil {\n\t\tt.Fatalf(\"unexpected error: %v\", err)\n\t}\n\tif !math.IsNaN(float64(result2[0])) {\n\t\tt.Errorf(\"result[0] = %v, want NaN\", result2[0])\n\t}\n\tif math.Abs(float64(result2[1]-3.5)) > 1e-10 {\n\t\tt.Errorf(\"result[1] = %v, want 3.5\", result2[1])\n\t}\n}\n\n// TestGetResampler tests the GetResampler lookup function\nfunc TestGetResampler(t *testing.T) {\n\ttests := []struct {\n\t\tname      string\n\t\texpectErr bool\n\t}{\n\t\t{\"\", false},\n\t\t{\"lttb\", false},\n\t\t{\"average\", false},\n\t\t{\"simple\", false},\n\t\t{\"unknown\", true},\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(\"name=\"+tt.name, func(t *testing.T) {\n\t\t\tfn, err := GetResampler(tt.name)\n\t\t\tif tt.expectErr {\n\t\t\t\tif err == nil {\n\t\t\t\t\tt.Error(\"expected error, got nil\")\n\t\t\t\t}\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err != nil {\n\t\t\t\tt.Errorf(\"unexpected error: %v\", err)\n\t\t\t}\n\t\t\tif fn == nil {\n\t\t\t\tt.Error(\"expected non-nil function\")\n\t\t\t}\n\t\t})\n\t}\n}\n\n// Benchmark tests\n\nfunc BenchmarkAverageResampler(b *testing.B) {\n\tdata := makeTestData(10000, 1.0)\n\tb.ResetTimer()\n\tfor i := 0; i < b.N; i++ {\n\t\t_, _, _ = AverageResampler(data, 1, 10)\n\t}\n}\n\nfunc BenchmarkSimpleResampler(b *testing.B) {","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-lib.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage resampler\n\nimport (\n\t\"math\"\n\t\"testing\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// TestCalculateTriangleArea tests the triangle area calculation helper function\nfunc TestCalculateTriangleArea(t *testing.T) {\n\ttests := []struct {\n\t\tname     string\n\t\tpaX, paY schema.Float\n\t\tpbX, pbY schema.Float\n\t\tpcX, pcY schema.Float\n\t\texpected float64\n\t}{\n\t\t{\n\t\t\tname: \"Right triangle\",\n\t\t\tpaX:  0, paY: 0,\n\t\t\tpbX: 0, pbY: 3,\n\t\t\tpcX: 4, pcY: 0,\n\t\t\texpected: 6.0,\n\t\t},\n\t\t{\n\t\t\tname: \"Collinear points (zero area)\",\n\t\t\tpaX:  0, paY: 0,\n\t\t\tpbX: 1, pbY: 1,\n\t\t\tpcX: 2, pcY: 2,\n\t\t\texpected: 0.0,\n\t\t},\n\t\t{\n\t\t\tname: \"Negative coordinates\",\n\t\t\tpaX:  -1, paY: -1,\n\t\t\tpbX: -1, pbY: 2,\n\t\t\tpcX: 3, pcY: -1,\n\t\t\texpected: 6.0,\n\t\t},\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(tt.name, func(t *testing.T) {\n\t\t\tresult := calculateTriangleArea(tt.paX, tt.paY, tt.pbX, tt.pbY, tt.pcX, tt.pcY)\n\t\t\tif math.Abs(result-tt.expected) > 1e-10 {\n\t\t\t\tt.Errorf(\"calculateTriangleArea() = %v, want %v\", result, tt.expected)\n\t\t\t}\n\t\t})\n\t}\n}\n\n// TestCalculateAverageDataPoint tests the average point calculation helper function\nfunc TestCalculateAverageDataPoint(t *testing.T) {\n\ttests := []struct {\n\t\tname      string\n\t\tpoints    []schema.Float\n\t\txStart    int64\n\t\texpectedX schema.Float\n\t\texpectedY schema.Float\n\t\texpectNaN bool\n\t}{\n\t\t{\n\t\t\tname:      \"Simple average\",\n\t\t\tpoints:    []schema.Float{1.0, 2.0, 3.0},\n\t\t\txStart:    0,\n\t\t\texpectedX: 1.0,\n\t\t\texpectedY: 2.0,\n\t\t\texpectNaN: false,\n\t\t},\n\t\t{\n\t\t\tname:      \"Single point\",\n\t\t\tpoints:    []schema.Float{5.0},\n\t\t\txStart:    10,\n\t\t\texpectedX: 10.0,\n\t\t\texpectedY: 5.0,\n\t\t\texpectNaN: false,\n\t\t},\n\t\t{\n\t\t\tname:      \"With NaN value\",\n\t\t\tpoints:    []schema.Float{1.0, schema.NaN, 3.0},\n\t\t\txStart:    0,\n\t\t\texpectedX: 1.0,\n\t\t\texpectNaN: true,\n\t\t},\n\t\t{\n\t\t\tname:      \"All NaN values\",\n\t\t\tpoints:    []schema.Float{schema.NaN, schema.NaN},\n\t\t\txStart:    0,\n\t\t\texpectedX: 0.5,\n\t\t\texpectNaN: true,\n\t\t},\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(tt.name, func(t *testing.T) {\n\t\t\tavgX, avgY := calculateAverageDataPoint(tt.points, tt.xStart)\n\t\t\tif math.Abs(float64(avgX-tt.expectedX)) > 1e-10 {\n\t\t\t\tt.Errorf(\"calculateAverageDataPoint() avgX = %v, want %v\", avgX, tt.expectedX)\n\t\t\t}\n\t\t\tif tt.expectNaN {\n\t\t\t\tif !math.IsNaN(float64(avgY)) {\n\t\t\t\t\tt.Errorf(\"calculateAverageDataPoint() avgY should be NaN, got %v\", avgY)\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tif math.Abs(float64(avgY-tt.expectedY)) > 1e-10 {\n\t\t\t\t\tt.Errorf(\"calculateAverageDataPoint() avgY = %v, want %v\", avgY, tt.expectedY)\n\t\t\t\t}\n\t\t\t}\n\t\t})\n\t}\n}\n\n// TestSimpleResampler tests the SimpleResampler function\nfunc TestSimpleResampler(t *testing.T) {\n\t// Set minimum required points to 100 for testing\n\tSetMinimumRequiredPoints(100)\n\tdefer SetMinimumRequiredPoints(1000) // Restore default after test\n\n\ttests := []struct {\n\t\tname         string\n\t\tdata         []schema.Float\n\t\toldFrequency int64\n\t\tnewFrequency int64\n\t\texpectedLen  int\n\t\texpectedFreq int64\n\t\texpectError  bool\n\t\tcheckValues  bool\n\t\texpectedData []schema.Float\n\t}{\n\t\t{\n\t\t\tname:         \"Normal downsampling\",\n\t\t\tdata:         makeTestData(200, 1.0),\n\t\t\toldFrequency: 1,\n\t\t\tnewFrequency: 2,\n\t\t\texpectedLen:  100,\n\t\t\texpectedFreq: 2,\n\t\t\texpectError:  false,\n\t\t},\n\t\t{\n\t\t\tname:         \"No downsampling needed (new <= old)\",\n\t\t\tdata:         makeTestData(200, 1.0),\n\t\t\toldFrequency: 2,\n\t\t\tnewFrequency: 1,\n\t\t\texpectedLen:  200,\n\t\t\texpectedFreq: 2,\n\t\t\texpectError:  false,\n\t\t},\n\t\t{\n\t\t\tname:         \"Zero old frequency\",\n\t\t\tdata:         makeTestData(200, 1.0),\n\t\t\toldFrequency: 0,\n\t\t\tnewFrequency: 2,\n\t\t\texpectedLen:  200,\n\t\t\texpectedFreq: 0,\n\t\t\texpectError:  false,\n\t\t},\n\t\t{\n\t\t\tname:         \"Zero new frequency\",\n\t\t\tdata:         makeTestData(200, 1.0),\n\t\t\toldFrequency: 1,\n\t\t\tnewFrequency: 0,\n\t\t\texpectedLen:  200,\n\t\t\texpectedFreq: 1,\n\t\t\texpectError:  false,\n\t\t},\n\t\t{\n\t\t\tname:         \"Non-multiple frequency\",\n\t\t\tdata:         makeTestData(200, 1.0),\n\t\t\toldFrequency: 3,\n\t\t\tnewFrequency: 7,\n\t\t\texpectError:  true,\n\t\t},\n\t\t{\n\t\t\tname:         \"Small dataset (< 100 points)\",\n\t\t\tdata:         makeTestData(50, 1.0),\n\t\t\toldFrequency: 1,\n\t\t\tnewFrequency: 2,\n\t\t\texpectedLen:  50,\n\t\t\texpectedFreq: 1,\n\t\t\texpectError:  false,\n\t\t},\n\t\t{\n\t\t\tname:         \"Exact values check\",\n\t\t\tdata:         []schema.Float{1, 2, 3, 4, 5, 6, 7, 8, 9, 10},\n\t\t\toldFrequency: 1,\n\t\t\tnewFrequency: 2,\n\t\t\texpectedLen:  10,\n\t\t\texpectedFreq: 1,\n\t\t\texpectError:  false,\n\t\t\tcheckValues:  false, // Too small, won't downsample\n\t\t},\n\t\t{\n\t\t\tname:         \"Large downsampling factor\",\n\t\t\tdata:         makeTestData(1000, 1.0),\n\t\t\toldFrequency: 1,\n\t\t\tnewFrequency: 10,\n\t\t\texpectedLen:  100,\n\t\t\texpectedFreq: 10,\n\t\t\texpectError:  false,\n\t\t},\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(tt.name, func(t *testing.T) {\n\t\t\tresult, freq, err := SimpleResampler(tt.data, tt.oldFrequency, tt.newFrequency)\n\n\t\t\tif tt.expectError {\n\t\t\t\tif err == nil {\n\t\t\t\t\tt.Errorf(\"SimpleResampler() expected error, got nil\")\n\t\t\t\t}\n\t\t\t\treturn\n\t\t\t}\n\n\t\t\tif err != nil {\n\t\t\t\tt.Errorf(\"SimpleResampler() unexpected error: %v\", err)\n\t\t\t\treturn\n\t\t\t}\n\n\t\t\tif len(result) != tt.expectedLen {\n\t\t\t\tt.Errorf(\"SimpleResampler() result length = %v, want %v\", len(result), tt.expectedLen)\n\t\t\t}\n\n\t\t\tif freq != tt.expectedFreq {\n\t\t\t\tt.Errorf(\"SimpleResampler() frequency = %v, want %v\", freq, tt.expectedFreq)\n\t\t\t}\n\n\t\t\tif tt.checkValues && tt.expectedData != nil {\n\t\t\t\tfor i := range result {\n\t\t\t\t\tif result[i] != tt.expectedData[i] {\n\t\t\t\t\t\tt.Errorf(\"SimpleResampler() result[%d] = %v, want %v\", i, result[i], tt.expectedData[i])\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t})\n\t}\n}\n\n// TestLargestTriangleThreeBucket tests the LTTB algorithm\nfunc TestLargestTriangleThreeBucket(t *testing.T) {\n\t// Set minimum required points to 100 for testing\n\tSetMinimumRequiredPoints(100)\n\tdefer SetMinimumRequiredPoints(1000) // Restore default after test\n\n\ttests := []struct {\n\t\tname         string\n\t\tdata         []schema.Float\n\t\toldFrequency int64\n\t\tnewFrequency int64\n\t\texpectedLen  int\n\t\texpectedFreq int64\n\t\texpectError  bool\n\t}{\n\t\t{\n\t\t\tname:         \"Normal downsampling\",\n\t\t\tdata:         makeTestData(200, 1.0),\n\t\t\toldFrequency: 1,\n\t\t\tnewFrequency: 2,\n\t\t\texpectedLen:  100,\n\t\t\texpectedFreq: 2,\n\t\t\texpectError:  false,\n\t\t},\n\t\t{\n\t\t\tname:         \"Sine wave pattern\",\n\t\t\tdata:         makeSineWave(500, 10),\n\t\t\toldFrequency: 1,\n\t\t\tnewFrequency: 5,\n\t\t\texpectedLen:  100,\n\t\t\texpectedFreq: 5,\n\t\t\texpectError:  false,\n\t\t},\n\t\t{\n\t\t\tname:         \"No downsampling needed (new <= old)\",\n\t\t\tdata:         makeTestData(200, 1.0),\n\t\t\toldFrequency: 2,\n\t\t\tnewFrequency: 1,\n\t\t\texpectedLen:  200,\n\t\t\texpectedFreq: 2,\n\t\t\texpectError:  false,\n\t\t},\n\t\t{\n\t\t\tname:         \"Zero old frequency\",\n\t\t\tdata:         makeTestData(200, 1.0),\n\t\t\toldFrequency: 0,\n\t\t\tnewFrequency: 2,\n\t\t\texpectedLen:  200,\n\t\t\texpectedFreq: 0,\n\t\t\texpectError:  false,\n\t\t},\n\t\t{\n\t\t\tname:         \"Zero new frequency\",\n\t\t\tdata:         makeTestData(200, 1.0),\n\t\t\toldFrequency: 1,\n\t\t\tnewFrequency: 0,\n\t\t\texpectedLen:  200,\n\t\t\texpectedFreq: 1,\n\t\t\texpectError:  false,\n\t\t},\n\t\t{\n\t\t\tname:         \"Non-multiple frequency\",\n\t\t\tdata:         makeTestData(200, 1.0),\n\t\t\toldFrequency: 3,\n\t\t\tnewFrequency: 7,\n\t\t\texpectError:  true,\n\t\t},\n\t\t{\n\t\t\tname:         \"Small dataset (< 100 points)\",\n\t\t\tdata:         makeTestData(50, 1.0),\n\t\t\toldFrequency: 1,\n\t\t\tnewFrequency: 2,\n\t\t\texpectedLen:  50,\n\t\t\texpectedFreq: 1,\n\t\t\texpectError:  false,\n\t\t},\n\t\t{\n\t\t\tname:         \"With NaN values\",\n\t\t\tdata:         makeTestDataWithNaN(200),\n\t\t\toldFrequency: 1,\n\t\t\tnewFrequency: 2,\n\t\t\texpectedLen:  100,\n\t\t\texpectedFreq: 2,\n\t\t\texpectError:  false,\n\t\t},\n\t\t{\n\t\t\tname:         \"Large downsampling factor\",\n\t\t\tdata:         makeTestData(1000, 1.0),\n\t\t\toldFrequency: 1,\n\t\t\tnewFrequency: 10,\n\t\t\texpectedLen:  100,\n\t\t\texpectedFreq: 10,\n\t\t\texpectError:  false,\n\t\t},\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(tt.name, func(t *testing.T) {\n\t\t\tresult, freq, err := LargestTriangleThreeBucket(tt.data, tt.oldFrequency, tt.newFrequency)\n\n\t\t\tif tt.expectError {\n\t\t\t\tif err == nil {\n\t\t\t\t\tt.Errorf(\"LargestTriangleThreeBucket() expected error, got nil\")\n\t\t\t\t}\n\t\t\t\treturn\n\t\t\t}\n\n\t\t\tif err != nil {\n\t\t\t\tt.Errorf(\"LargestTriangleThreeBucket() unexpected error: %v\", err)\n\t\t\t\treturn\n\t\t\t}\n\n\t\t\tif len(result) != tt.expectedLen {\n\t\t\t\tt.Errorf(\"LargestTriangleThreeBucket() result length = %v, want %v\", len(result), tt.expectedLen)\n\t\t\t}\n\n\t\t\tif freq != tt.expectedFreq {\n\t\t\t\tt.Errorf(\"LargestTriangleThreeBucket() frequency = %v, want %v\", freq, tt.expectedFreq)\n\t\t\t}\n\n\t\t\t// Verify first and last points are preserved\n\t\t\tif len(result) > 0 && len(tt.data) > 0 {\n\t\t\t\t// Handle NaN comparison specially since NaN != NaN\n\t\t\t\tif math.IsNaN(float64(tt.data[0])) {\n\t\t\t\t\tif !math.IsNaN(float64(result[0])) {\n\t\t\t\t\t\tt.Errorf(\"LargestTriangleThreeBucket() first point not preserved: got %v, want NaN\", result[0])\n\t\t\t\t\t}\n\t\t\t\t} else if result[0] != tt.data[0] {\n\t\t\t\t\tt.Errorf(\"LargestTriangleThreeBucket() first point not preserved: got %v, want %v\", result[0], tt.data[0])\n\t\t\t\t}\n\n\t\t\t\tif math.IsNaN(float64(tt.data[len(tt.data)-1])) {\n\t\t\t\t\tif !math.IsNaN(float64(result[len(result)-1])) {\n\t\t\t\t\t\tt.Errorf(\"LargestTriangleThreeBucket() last point not preserved: got %v, want NaN\", result[len(result)-1])\n\t\t\t\t\t}\n\t\t\t\t} else if result[len(result)-1] != tt.data[len(tt.data)-1] {\n\t\t\t\t\tt.Errorf(\"LargestTriangleThreeBucket() last point not preserved: got %v, want %v\", result[len(result)-1], tt.data[len(tt.data)-1])\n\t\t\t\t}\n\t\t\t}\n\t\t})\n\t}\n}\n\n// TestLTTBPreservesFeatures tests that LTTB preserves important features better than simple resampling\nfunc TestLTTBPreservesFeatures(t *testing.T) {\n\t// Set minimum required points to 100 for testing\n\tSetMinimumRequiredPoints(100)\n\tdefer SetMinimumRequiredPoints(1000) // Restore default after test\n\n\t// Create a dataset with a spike\n\tdata := make([]schema.Float, 200)\n\tfor i := range data {\n\t\tif i == 100 {\n\t\t\tdata[i] = 100.0 // Spike\n\t\t} else {\n\t\t\tdata[i] = 1.0\n\t\t}\n\t}\n\n\tlttbResult, _, _ := LargestTriangleThreeBucket(data, 1, 2)\n\n\t// LTTB should be more likely to preserve the spike\n\tlttbHasSpike := false\n\n\tfor _, v := range lttbResult {\n\t\tif v > 50.0 {\n\t\t\tlttbHasSpike = true\n\t\t\tbreak\n\t\t}\n\t}\n\n\t// This test is probabilistic, but LTTB should generally preserve the spike\n\tif !lttbHasSpike {\n\t\tt.Log(\"Warning: LTTB did not preserve spike (may happen occasionally)\")\n\t}\n}\n\n// Helper functions for test data generation\n\n// makeTestData creates a simple linear test dataset\nfunc makeTestData(size int, increment schema.Float) []schema.Float {\n\tdata := make([]schema.Float, size)\n\tfor i := range data {\n\t\tdata[i] = schema.Float(i) * increment\n\t}\n\treturn data\n}\n\n// makeSineWave creates a sine wave test dataset\nfunc makeSineWave(size int, periods float64) []schema.Float {\n\tdata := make([]schema.Float, size)\n\tfor i := range data {\n\t\tangle := 2 * math.Pi * periods * float64(i) / float64(size)\n\t\tdata[i] = schema.Float(math.Sin(angle))\n\t}\n\treturn data\n}\n\n// makeTestDataWithNaN creates test data with some NaN values\nfunc makeTestDataWithNaN(size int) []schema.Float {\n\tdata := make([]schema.Float, size)\n\tfor i := range data {\n\t\tif i%20 == 0 {\n\t\t\tdata[i] = schema.NaN\n\t\t} else {\n\t\t\tdata[i] = schema.Float(i)\n\t\t}\n\t}\n\treturn data\n}\n\n// Benchmark tests\n\nfunc BenchmarkSimpleResampler(b *testing.B) {\n\tdata := makeTestData(10000, 1.0)\n\tb.ResetTimer()\n\tfor i := 0; i < b.N; i++ {\n\t\t_, _, _ = SimpleResampler(data, 1, 10)\n\t}\n}\n\nfunc BenchmarkLargestTriangleThreeBucket(b *testing.B) {\n\tdata := makeTestData(10000, 1.0)\n\tb.ResetTimer()\n\tfor i := 0; i < b.N; i++ {\n\t\t_, _, _ = LargestTriangleThreeBucket(data, 1, 10)\n\t}\n}\n\nfunc BenchmarkLTTBLargeDataset(b *testing.B) {\n\tdata := makeTestData(100000, 1.0)\n\tb.ResetTimer()\n\tfor i := 0; i < b.N; i++ {\n\t\t_, _, _ = LargestTriangleThreeBucket(data, 1, 100)\n\t}\n}\n","structuredPatch":[{"oldStart":450,"oldLines":8,"newStart":450,"newLines":216,"lines":["   return data"," }"," ","+// TestAverageResampler tests the AverageResampler function","+func TestAverageResampler(t *testing.T) {","+  SetMinimumRequiredPoints(100)","+  defer SetMinimumRequiredPoints(1000)","+","+  tests := []struct {","+    name         string","+    data         []schema.Float","+    oldFrequency int64","+    newFrequency int64","+    expectedLen  int","+    expectedFreq int64","+    expectError  bool","+    checkValues  bool","+    expectedData []schema.Float","+  }{","+    {","+      name:         \"Basic averaging step=2\",","+      data:         makeTestData(200, 1.0),","+      oldFrequency: 1,","+      newFrequency: 2,","+      expectedLen:  100,","+      expectedFreq: 2,","+    },","+    {","+      name:         \"No downsampling needed (new <= old)\",","+      data:         makeTestData(200, 1.0),","+      oldFrequency: 2,","+      newFrequency: 1,","+      expectedLen:  200,","+      expectedFreq: 2,","+    },","+    {","+      name:         \"Zero old frequency\",","+      data:         makeTestData(200, 1.0),","+      oldFrequency: 0,","+      newFrequency: 2,","+      expectedLen:  200,","+      expectedFreq: 0,","+    },","+    {","+      name:         \"Zero new frequency\",","+      data:         makeTestData(200, 1.0),","+      oldFrequency: 1,","+      newFrequency: 0,","+      expectedLen:  200,","+      expectedFreq: 1,","+    },","+    {","+      name:         \"Non-multiple frequency\",","+      data:         makeTestData(200, 1.0),","+      oldFrequency: 3,","+      newFrequency: 7,","+      expectError:  true,","+    },","+    {","+      name:         \"Small dataset (< 100 points)\",","+      data:         makeTestData(50, 1.0),","+      oldFrequency: 1,","+      newFrequency: 2,","+      expectedLen:  50,","+      expectedFreq: 1,","+    },","+    {","+      name:         \"Large downsampling factor\",","+      data:         makeTestData(1000, 1.0),","+      oldFrequency: 1,","+      newFrequency: 10,","+      expectedLen:  100,","+      expectedFreq: 10,","+    },","+  }","+","+  for _, tt := range tests {","+    t.Run(tt.name, func(t *testing.T) {","+      result, freq, err := AverageResampler(tt.data, tt.oldFrequency, tt.newFrequency)","+","+      if tt.expectError {","+        if err == nil {","+          t.Errorf(\"AverageResampler() expected error, got nil\")","+        }","+        return","+      }","+","+      if err != nil {","+        t.Errorf(\"AverageResampler() unexpected error: %v\", err)","+        return","+      }","+","+      if len(result) != tt.expectedLen {","+        t.Errorf(\"AverageResampler() result length = %v, want %v\", len(result), tt.expectedLen)","+      }","+","+      if freq != tt.expectedFreq {","+        t.Errorf(\"AverageResampler() frequency = %v, want %v\", freq, tt.expectedFreq)","+      }","+","+      if tt.checkValues && tt.expectedData != nil {","+        for i := range result {","+          if math.Abs(float64(result[i]-tt.expectedData[i])) > 1e-10 {","+            t.Errorf(\"AverageResampler() result[%d] = %v, want %v\", i, result[i], tt.expectedData[i])","+          }","+        }","+      }","+    })","+  }","+}","+","+// TestAverageResamplerValues tests exact output values of AverageResampler","+func TestAverageResamplerValues(t *testing.T) {","+  SetMinimumRequiredPoints(3)","+  defer SetMinimumRequiredPoints(1000)","+","+  // [1,2,3,4,5,6] step=2 -> [1.5, 3.5, 5.5]","+  data := []schema.Float{1, 2, 3, 4, 5, 6}","+  result, freq, err := AverageResampler(data, 1, 2)","+  if err != nil {","+    t.Fatalf(\"unexpected error: %v\", err)","+  }","+  if freq != 2 {","+    t.Errorf(\"frequency = %v, want 2\", freq)","+  }","+  expected := []schema.Float{1.5, 3.5, 5.5}","+  if len(result) != len(expected) {","+    t.Fatalf(\"result length = %v, want %v\", len(result), len(expected))","+  }","+  for i := range expected {","+    if math.Abs(float64(result[i]-expected[i])) > 1e-10 {","+      t.Errorf(\"result[%d] = %v, want %v\", i, result[i], expected[i])","+    }","+  }","+}","+","+// TestAverageResamplerNaN tests NaN handling in AverageResampler","+func TestAverageResamplerNaN(t *testing.T) {","+  SetMinimumRequiredPoints(3)","+  defer SetMinimumRequiredPoints(1000)","+","+  // NaN skipping: [1, NaN, 3, 4] step=2 -> [1.0, 3.5]","+  data := []schema.Float{1, schema.NaN, 3, 4}","+  result, _, err := AverageResampler(data, 1, 2)","+  if err != nil {","+    t.Fatalf(\"unexpected error: %v\", err)","+  }","+  if len(result) != 2 {","+    t.Fatalf(\"result length = %v, want 2\", len(result))","+  }","+  if math.Abs(float64(result[0]-1.0)) > 1e-10 {","+    t.Errorf(\"result[0] = %v, want 1.0\", result[0])","+  }","+  if math.Abs(float64(result[1]-3.5)) > 1e-10 {","+    t.Errorf(\"result[1] = %v, want 3.5\", result[1])","+  }","+","+  // All-NaN bucket: [NaN, NaN, 3, 4] step=2 -> [NaN, 3.5]","+  data2 := []schema.Float{schema.NaN, schema.NaN, 3, 4}","+  result2, _, err := AverageResampler(data2, 1, 2)","+  if err != nil {","+    t.Fatalf(\"unexpected error: %v\", err)","+  }","+  if !math.IsNaN(float64(result2[0])) {","+    t.Errorf(\"result[0] = %v, want NaN\", result2[0])","+  }","+  if math.Abs(float64(result2[1]-3.5)) > 1e-10 {","+    t.Errorf(\"result[1] = %v, want 3.5\", result2[1])","+  }","+}","+","+// TestGetResampler tests the GetResampler lookup function","+func TestGetResampler(t *testing.T) {","+  tests := []struct {","+    name      string","+    expectErr bool","+  }{","+    {\"\", false},","+    {\"lttb\", false},","+    {\"average\", false},","+    {\"simple\", false},","+    {\"unknown\", true},","+  }","+","+  for _, tt := range tests {","+    t.Run(\"name=\"+tt.name, func(t *testing.T) {","+      fn, err := GetResampler(tt.name)","+      if tt.expectErr {","+        if err == nil {","+          t.Error(\"expected error, got nil\")","+        }","+        return","+      }","+      if err != nil {","+        t.Errorf(\"unexpected error: %v\", err)","+      }","+      if fn == nil {","+        t.Error(\"expected non-nil function\")","+      }","+    })","+  }","+}","+"," // Benchmark tests"," ","+func BenchmarkAverageResampler(b *testing.B) {","+  data := makeTestData(10000, 1.0)","+  b.ResetTimer()","+  for i := 0; i < b.N; i++ {","+    _, _, _ = AverageResampler(data, 1, 10)","+  }","+}","+"," func BenchmarkSimpleResampler(b *testing.B) {","   data := makeTestData(10000, 1.0)","   b.ResetTimer()"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"d5c79bf5-d7a9-478d-b0ef-a3be64f614df","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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+{"parentUuid":"f312fe55-8f77-48b6-8f15-9c028ea497db","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01BVkeNXnUbmW9Cws8iUq6Xy","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01H9o75FP87ksoUy6Ur1jdP3","name":"Bash","input":{"command":"cd /Users/jan/prg/CC/cc-lib && go test ./resampler/... -v -count=1 2>&1 | tail -60","description":"Run resampler tests in cc-lib","timeout":60000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2655,"cache_read_input_tokens":73848,"output_tokens":141,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2655,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZD1tvUSXHQAX7whxUN4P","type":"assistant","uuid":"f6fe2c70-6950-403c-9162-a00c7dcda6a5","timestamp":"2026-03-19T19:47:37.086Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
+{"parentUuid":"f6fe2c70-6950-403c-9162-a00c7dcda6a5","isSidechain":false,"promptId":"1c46e1b2-ade5-44be-90d9-e93109c02833","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01H9o75FP87ksoUy6Ur1jdP3","type":"tool_result","content":"    --- PASS: TestSimpleResampler/Non-multiple_frequency (0.00s)\n    --- PASS: TestSimpleResampler/Small_dataset_(<_100_points) (0.00s)\n    --- PASS: TestSimpleResampler/Exact_values_check (0.00s)\n    --- PASS: TestSimpleResampler/Large_downsampling_factor (0.00s)\n=== RUN   TestLargestTriangleThreeBucket\n=== RUN   TestLargestTriangleThreeBucket/Normal_downsampling\n=== RUN   TestLargestTriangleThreeBucket/Sine_wave_pattern\n=== RUN   TestLargestTriangleThreeBucket/No_downsampling_needed_(new_<=_old)\n=== RUN   TestLargestTriangleThreeBucket/Zero_old_frequency\n=== RUN   TestLargestTriangleThreeBucket/Zero_new_frequency\n=== RUN   TestLargestTriangleThreeBucket/Non-multiple_frequency\n=== RUN   TestLargestTriangleThreeBucket/Small_dataset_(<_100_points)\n=== RUN   TestLargestTriangleThreeBucket/With_NaN_values\n=== RUN   TestLargestTriangleThreeBucket/Large_downsampling_factor\n--- PASS: TestLargestTriangleThreeBucket (0.00s)\n    --- PASS: TestLargestTriangleThreeBucket/Normal_downsampling (0.00s)\n    --- PASS: TestLargestTriangleThreeBucket/Sine_wave_pattern (0.00s)\n    --- PASS: TestLargestTriangleThreeBucket/No_downsampling_needed_(new_<=_old) (0.00s)\n    --- PASS: TestLargestTriangleThreeBucket/Zero_old_frequency (0.00s)\n    --- PASS: TestLargestTriangleThreeBucket/Zero_new_frequency (0.00s)\n    --- PASS: TestLargestTriangleThreeBucket/Non-multiple_frequency (0.00s)\n    --- PASS: TestLargestTriangleThreeBucket/Small_dataset_(<_100_points) (0.00s)\n    --- PASS: TestLargestTriangleThreeBucket/With_NaN_values (0.00s)\n    --- PASS: TestLargestTriangleThreeBucket/Large_downsampling_factor (0.00s)\n=== RUN   TestLTTBPreservesFeatures\n--- PASS: TestLTTBPreservesFeatures (0.00s)\n=== RUN   TestAverageResampler\n=== RUN   TestAverageResampler/Basic_averaging_step=2\n=== RUN   TestAverageResampler/No_downsampling_needed_(new_<=_old)\n=== RUN   TestAverageResampler/Zero_old_frequency\n=== RUN   TestAverageResampler/Zero_new_frequency\n=== RUN   TestAverageResampler/Non-multiple_frequency\n=== RUN   TestAverageResampler/Small_dataset_(<_100_points)\n=== RUN   TestAverageResampler/Large_downsampling_factor\n--- PASS: TestAverageResampler (0.00s)\n    --- PASS: TestAverageResampler/Basic_averaging_step=2 (0.00s)\n    --- PASS: TestAverageResampler/No_downsampling_needed_(new_<=_old) (0.00s)\n    --- PASS: TestAverageResampler/Zero_old_frequency (0.00s)\n    --- PASS: TestAverageResampler/Zero_new_frequency (0.00s)\n    --- PASS: TestAverageResampler/Non-multiple_frequency (0.00s)\n    --- PASS: TestAverageResampler/Small_dataset_(<_100_points) (0.00s)\n    --- PASS: TestAverageResampler/Large_downsampling_factor (0.00s)\n=== RUN   TestAverageResamplerValues\n--- PASS: TestAverageResamplerValues (0.00s)\n=== RUN   TestAverageResamplerNaN\n--- PASS: TestAverageResamplerNaN (0.00s)\n=== RUN   TestGetResampler\n=== RUN   TestGetResampler/name=\n=== RUN   TestGetResampler/name=lttb\n=== RUN   TestGetResampler/name=average\n=== RUN   TestGetResampler/name=simple\n=== RUN   TestGetResampler/name=unknown\n--- PASS: TestGetResampler (0.00s)\n    --- PASS: TestGetResampler/name= (0.00s)\n    --- PASS: TestGetResampler/name=lttb (0.00s)\n    --- PASS: TestGetResampler/name=average (0.00s)\n    --- PASS: TestGetResampler/name=simple (0.00s)\n    --- PASS: TestGetResampler/name=unknown (0.00s)\nPASS\nok  \tgithub.com/ClusterCockpit/cc-lib/v2/resampler\t0.421s\nShell cwd was reset to /Users/jan/tmp/cc-backend","is_error":false}]},"uuid":"765d5aa8-47b4-448a-8cf0-f9db8079670f","timestamp":"2026-03-19T19:48:58.228Z","toolUseResult":{"stdout":"    --- PASS: TestSimpleResampler/Non-multiple_frequency (0.00s)\n    --- PASS: TestSimpleResampler/Small_dataset_(<_100_points) (0.00s)\n    --- PASS: TestSimpleResampler/Exact_values_check (0.00s)\n    --- PASS: TestSimpleResampler/Large_downsampling_factor (0.00s)\n=== RUN   TestLargestTriangleThreeBucket\n=== RUN   TestLargestTriangleThreeBucket/Normal_downsampling\n=== RUN   TestLargestTriangleThreeBucket/Sine_wave_pattern\n=== RUN   TestLargestTriangleThreeBucket/No_downsampling_needed_(new_<=_old)\n=== RUN   TestLargestTriangleThreeBucket/Zero_old_frequency\n=== RUN   TestLargestTriangleThreeBucket/Zero_new_frequency\n=== RUN   TestLargestTriangleThreeBucket/Non-multiple_frequency\n=== RUN   TestLargestTriangleThreeBucket/Small_dataset_(<_100_points)\n=== RUN   TestLargestTriangleThreeBucket/With_NaN_values\n=== RUN   TestLargestTriangleThreeBucket/Large_downsampling_factor\n--- PASS: TestLargestTriangleThreeBucket (0.00s)\n    --- PASS: TestLargestTriangleThreeBucket/Normal_downsampling (0.00s)\n    --- PASS: TestLargestTriangleThreeBucket/Sine_wave_pattern (0.00s)\n    --- PASS: TestLargestTriangleThreeBucket/No_downsampling_needed_(new_<=_old) (0.00s)\n    --- PASS: TestLargestTriangleThreeBucket/Zero_old_frequency (0.00s)\n    --- PASS: TestLargestTriangleThreeBucket/Zero_new_frequency (0.00s)\n    --- PASS: TestLargestTriangleThreeBucket/Non-multiple_frequency (0.00s)\n    --- PASS: TestLargestTriangleThreeBucket/Small_dataset_(<_100_points) (0.00s)\n    --- PASS: TestLargestTriangleThreeBucket/With_NaN_values (0.00s)\n    --- PASS: TestLargestTriangleThreeBucket/Large_downsampling_factor (0.00s)\n=== RUN   TestLTTBPreservesFeatures\n--- PASS: TestLTTBPreservesFeatures (0.00s)\n=== RUN   TestAverageResampler\n=== RUN   TestAverageResampler/Basic_averaging_step=2\n=== RUN   TestAverageResampler/No_downsampling_needed_(new_<=_old)\n=== RUN   TestAverageResampler/Zero_old_frequency\n=== RUN   TestAverageResampler/Zero_new_frequency\n=== RUN   TestAverageResampler/Non-multiple_frequency\n=== RUN   TestAverageResampler/Small_dataset_(<_100_points)\n=== RUN   TestAverageResampler/Large_downsampling_factor\n--- PASS: TestAverageResampler (0.00s)\n    --- PASS: TestAverageResampler/Basic_averaging_step=2 (0.00s)\n    --- PASS: TestAverageResampler/No_downsampling_needed_(new_<=_old) (0.00s)\n    --- PASS: TestAverageResampler/Zero_old_frequency (0.00s)\n    --- PASS: TestAverageResampler/Zero_new_frequency (0.00s)\n    --- PASS: TestAverageResampler/Non-multiple_frequency (0.00s)\n    --- PASS: TestAverageResampler/Small_dataset_(<_100_points) (0.00s)\n    --- PASS: TestAverageResampler/Large_downsampling_factor (0.00s)\n=== RUN   TestAverageResamplerValues\n--- PASS: TestAverageResamplerValues (0.00s)\n=== RUN   TestAverageResamplerNaN\n--- PASS: TestAverageResamplerNaN (0.00s)\n=== RUN   TestGetResampler\n=== RUN   TestGetResampler/name=\n=== RUN   TestGetResampler/name=lttb\n=== RUN   TestGetResampler/name=average\n=== RUN   TestGetResampler/name=simple\n=== RUN   TestGetResampler/name=unknown\n--- PASS: TestGetResampler (0.00s)\n    --- PASS: TestGetResampler/name= (0.00s)\n    --- PASS: TestGetResampler/name=lttb (0.00s)\n    --- PASS: TestGetResampler/name=average (0.00s)\n    --- PASS: TestGetResampler/name=simple (0.00s)\n    --- PASS: TestGetResampler/name=unknown (0.00s)\nPASS\nok  \tgithub.com/ClusterCockpit/cc-lib/v2/resampler\t0.421s","stderr":"\nShell cwd was reset to /Users/jan/tmp/cc-backend","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"f6fe2c70-6950-403c-9162-a00c7dcda6a5","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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v0.17.88\n\tgithub.com/ClusterCockpit/cc-lib/v2 v2.9.1\n\tgithub.com/ClusterCockpit/cc-line-protocol/v2 v2.4.0\n\tgithub.com/Masterminds/squirrel v1.5.4\n\tgithub.com/aws/aws-sdk-go-v2 v1.41.3\n\tgithub.com/aws/aws-sdk-go-v2/config v1.32.11\n\tgithub.com/aws/aws-sdk-go-v2/credentials v1.19.11\n\tgithub.com/aws/aws-sdk-go-v2/service/s3 v1.97.0\n\tgithub.com/coreos/go-oidc/v3 v3.17.0\n\tgithub.com/expr-lang/expr v1.17.8\n\tgithub.com/go-chi/chi/v5 v5.2.5\n\tgithub.com/go-chi/cors v1.2.2\n\tgithub.com/go-co-op/gocron/v2 v2.19.1\n\tgithub.com/go-ldap/ldap/v3 v3.4.12\n\tgithub.com/golang-jwt/jwt/v5 v5.3.1\n\tgithub.com/golang-migrate/migrate/v4 v4.19.1\n\tgithub.com/google/gops v0.3.29\n\tgithub.com/gorilla/sessions v1.4.0\n\tgithub.com/jmoiron/sqlx v1.4.0\n\tgithub.com/joho/godotenv v1.5.1\n\tgithub.com/mattn/go-sqlite3 v1.14.34\n\tgithub.com/parquet-go/parquet-go v0.29.0\n\tgithub.com/qustavo/sqlhooks/v2 v2.1.0\n\tgithub.com/santhosh-tekuri/jsonschema/v5 v5.3.1\n\tgithub.com/stretchr/testify v1.11.1\n\tgithub.com/swaggo/http-swagger v1.3.4\n\tgithub.com/swaggo/swag v1.16.6\n\tgithub.com/vektah/gqlparser/v2 v2.5.32\n\tgolang.org/x/crypto v0.49.0\n\tgolang.org/x/oauth2 v0.36.0\n\tgolang.org/x/sync v0.20.0\n\tgolang.org/x/time v0.15.0\n)\n\nrequire (\n\tgithub.com/Azure/go-ntlmssp v0.1.0 // indirect\n\tgithub.com/KyleBanks/depth v1.2.1 // indirect\n\tgithub.com/agnivade/levenshtein v1.2.1 // indirect\n\tgithub.com/andybalholm/brotli v1.2.0 // indirect\n\tgithub.com/apapsch/go-jsonmerge/v2 v2.0.0 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/aws/protocol/eventstream v1.7.6 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/feature/ec2/imds v1.18.19 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/internal/configsources v1.4.19 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/internal/endpoints/v2 v2.7.19 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/internal/ini v1.8.5 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/internal/v4a v1.4.20 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/service/internal/accept-encoding v1.13.6 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/service/internal/checksum v1.9.11 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/service/internal/presigned-url v1.13.19 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/service/internal/s3shared v1.19.19 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/service/signin v1.0.7 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/service/sso v1.30.12 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/service/ssooidc v1.35.16 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/service/sts v1.41.8 // indirect\n\tgithub.com/aws/smithy-go v1.24.2 // indirect\n\tgithub.com/cpuguy83/go-md2man/v2 v2.0.7 // indirect\n\tgithub.com/davecgh/go-spew v1.1.2-0.20180830191138-d8f796af33cc // indirect\n\tgithub.com/fsnotify/fsnotify v1.9.0 // indirect\n\tgithub.com/go-asn1-ber/asn1-ber v1.5.8-0.20250403174932-29230038a667 // indirect\n\tgithub.com/go-jose/go-jose/v4 v4.1.3 // indirect\n\tgithub.com/go-openapi/jsonpointer v0.22.5 // indirect\n\tgithub.com/go-openapi/jsonreference v0.21.5 // indirect\n\tgithub.com/go-openapi/spec v0.22.4 // indirect\n\tgithub.com/go-openapi/swag/conv v0.25.5 // indirect\n\tgithub.com/go-openapi/swag/jsonname v0.25.5 // indirect\n\tgithub.com/go-openapi/swag/jsonutils v0.25.5 // indirect\n\tgithub.com/go-openapi/swag/loading v0.25.5 // indirect\n\tgithub.com/go-openapi/swag/stringutils v0.25.5 // indirect\n\tgithub.com/go-openapi/swag/typeutils v0.25.5 // indirect\n\tgithub.com/go-openapi/swag/yamlutils v0.25.5 // indirect\n\tgithub.com/go-viper/mapstructure/v2 v2.5.0 // indirect\n\tgithub.com/goccy/go-yaml v1.19.2 // indirect\n\tgithub.com/google/uuid v1.6.0 // indirect\n\tgithub.com/gorilla/securecookie v1.1.2 // indirect\n\tgithub.com/gorilla/websocket v1.5.3 // indirect\n\tgithub.com/hashicorp/golang-lru/v2 v2.0.7 // indirect\n\tgithub.com/influxdata/influxdb-client-go/v2 v2.14.0 // indirect\n\tgithub.com/influxdata/line-protocol v0.0.0-20210922203350-b1ad95c89adf // indirect\n\tgithub.com/jonboulle/clockwork v0.5.0 // indirect\n\tgithub.com/klauspost/compress v1.18.4 // indirect\n\tgithub.com/kr/pretty v0.3.1 // indirect\n\tgithub.com/lann/builder v0.0.0-20180802200727-47ae307949d0 // indirect\n\tgithub.com/lann/ps v0.0.0-20150810152359-62de8c46ede0 // indirect\n\tgithub.com/nats-io/nats.go v1.49.0 // indirect\n\tgithub.com/nats-io/nkeys v0.4.15 // indirect\n\tgithub.com/nats-io/nuid v1.0.1 // indirect\n\tgithub.com/oapi-codegen/runtime v1.2.0 // indirect\n\tgithub.com/parquet-go/bitpack v1.0.0 // indirect\n\tgithub.com/parquet-go/jsonlite v1.4.0 // indirect\n\tgithub.com/pierrec/lz4/v4 v4.1.26 // indirect\n\tgithub.com/pmezard/go-difflib v1.0.1-0.20181226105442-5d4384ee4fb2 // indirect\n\tgithub.com/robfig/cron/v3 v3.0.1 // indirect\n\tgithub.com/rogpeppe/go-internal v1.10.0 // indirect\n\tgithub.com/russross/blackfriday/v2 v2.1.0 // indirect\n\tgithub.com/sosodev/duration v1.4.0 // indirect\n\tgithub.com/stmcginnis/gofish v0.21.4 // indirect\n\tgithub.com/stretchr/objx v0.5.2 // indirect\n\tgithub.com/swaggo/files v1.0.1 // indirect\n\tgithub.com/twpayne/go-geom v1.6.1 // indirect\n\tgithub.com/urfave/cli/v2 v2.27.7 // indirect\n\tgithub.com/urfave/cli/v3 v3.7.0 // indirect\n\tgithub.com/xrash/smetrics v0.0.0-20250705151800-55b8f293f342 // indirect\n\tgo.yaml.in/yaml/v2 v2.4.3 // indirect\n\tgo.yaml.in/yaml/v3 v3.0.4 // indirect\n\tgolang.org/x/mod v0.34.0 // indirect\n\tgolang.org/x/net v0.52.0 // indirect\n\tgolang.org/x/sys v0.42.0 // indirect\n\tgolang.org/x/text v0.35.0 // indirect\n\tgolang.org/x/tools v0.43.0 // indirect\n\tgoogle.golang.org/protobuf v1.36.11 // indirect\n\tgopkg.in/yaml.v3 v3.0.1 // indirect\n\tsigs.k8s.io/yaml v1.6.0 // indirect\n)\n","structuredPatch":[{"oldStart":7,"oldLines":6,"newStart":7,"newLines":8,"lines":["   github.com/swaggo/swag/cmd/swag"," )"," ","+replace github.com/ClusterCockpit/cc-lib/v2 => ../../prg/CC/cc-lib","+"," require (","   github.com/99designs/gqlgen v0.17.88","   github.com/ClusterCockpit/cc-lib/v2 v2.9.1"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"2c495f04-2c00-4436-8ee6-584ff8187005","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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# Slurm partitions\n  subClusters: [SubCluster!]! # Hardware partitions/subclusters\n}\n\ntype SubCluster {\n  name: String!\n  nodes: String!\n  numberOfNodes: Int!\n  processorType: String!\n  socketsPerNode: Int!\n  coresPerSocket: Int!\n  threadsPerCore: Int!\n  flopRateScalar: MetricValue!\n  flopRateSimd: MetricValue!\n  memoryBandwidth: MetricValue!\n  topology: Topology!\n  metricConfig: [MetricConfig!]!\n  footprint: [String!]!\n}\n\ntype FootprintValue {\n  name: String!\n  stat: String!\n  value: Float!\n}\n\ntype EnergyFootprintValue {\n  hardware: String!\n  metric: String!\n  value: Float!\n}\n\ntype MetricValue {\n  name: String\n  unit: Unit!\n  value: Float!\n}\n\ntype Topology {\n  node: [Int!]\n  socket: [[Int!]!]\n  memoryDomain: [[Int!]!]\n  die: [[Int!]!]\n  core: [[Int!]!]\n  accelerators: [Accelerator!]\n}\n\ntype Accelerator {\n  id: String!\n  type: String!\n  model: String!\n}\n\ntype SubClusterConfig {\n  name: String!\n  peak: Float\n  normal: Float\n  caution: Float\n  alert: Float\n  remove: Boolean\n}\n\ntype MetricConfig {\n  name: String!\n  unit: Unit!\n  scope: MetricScope!\n  aggregation: String!\n  timestep: Int!\n  peak: Float!\n  normal: Float\n  caution: Float!\n  alert: Float!\n  lowerIsBetter: Boolean\n  subClusters: [SubClusterConfig!]!\n}\n\ntype Tag {\n  id: ID!\n  type: String!\n  name: String!\n  scope: String!\n}\n\ntype Resource {\n  hostname: String!\n  hwthreads: [Int!]\n  accelerators: [String!]\n  configuration: String\n}\n\ntype JobMetricWithName {\n  name: String!\n  scope: MetricScope!\n  metric: JobMetric!\n}\n\ntype ClusterMetricWithName {\n  name: String!\n  unit: Unit\n  timestep: Int!\n  data: [NullableFloat!]!\n}\n\ntype JobMetric {\n  unit: Unit\n  timestep: Int!\n  series: [Series!]\n  statisticsSeries: StatsSeries\n}\n\ntype Series {\n  hostname: String!\n  id: String\n  statistics: MetricStatistics\n  data: [NullableFloat!]!\n}\n\ntype StatsSeries {\n  mean: [NullableFloat!]!\n  median: [NullableFloat!]!\n  min: [NullableFloat!]!\n  max: [NullableFloat!]!\n}\n\ntype NamedStatsWithScope {\n  name: String!\n  scope: MetricScope!\n  stats: [ScopedStats!]!\n}\n\ntype ScopedStats {\n  hostname: String!\n  id: String\n  data: MetricStatistics!\n}\n\ntype JobStats {\n  id: Int!\n  jobId: String!\n  startTime: Int!\n  duration: Int!\n  cluster: String!\n  subCluster: String!\n  numNodes: Int!\n  numHWThreads: Int\n  numAccelerators: Int\n  stats: [NamedStats!]!\n}\n\ntype NamedStats {\n  name: String!\n  data: MetricStatistics!\n}\n\ntype Unit {\n  base: String!\n  prefix: String\n}\n\ntype MetricStatistics {\n  avg: Float!\n  min: Float!\n  max: Float!\n}\n\ntype MetricFootprints {\n  metric: String!\n  data: [NullableFloat!]!\n}\n\ntype Footprints {\n  timeWeights: TimeWeights!\n  metrics: [MetricFootprints!]!\n}\n\ntype TimeWeights {\n  nodeHours: [NullableFloat!]!\n  accHours: [NullableFloat!]!\n  coreHours: [NullableFloat!]!\n}\n\nenum Aggregate {\n  USER\n  PROJECT\n  CLUSTER\n  SUBCLUSTER\n}\nenum SortByAggregate {\n  TOTALWALLTIME\n  TOTALJOBS\n  TOTALUSERS\n  TOTALNODES\n  TOTALNODEHOURS\n  TOTALCORES\n  TOTALCOREHOURS\n  TOTALACCS\n  TOTALACCHOURS\n}\n\ntype NodeMetrics {\n  host: String!\n  nodeState: String!\n  metricHealth: String!\n  subCluster: String!\n  metrics: [JobMetricWithName!]!\n}\n\ntype ClusterMetrics {\n  nodeCount: Int!\n  metrics: [ClusterMetricWithName!]!\n}\n\ntype NodesResultList {\n  items: [NodeMetrics!]!\n  offset: Int\n  limit: Int\n  count: Int\n  totalNodes: Int\n  hasNextPage: Boolean\n}\n\ntype ClusterSupport {\n  cluster: String!\n  subClusters: [String!]!\n}\n\ntype GlobalMetricListItem {\n  name: String!\n  unit: Unit!\n  scope: MetricScope!\n  footprint: String\n  availability: [ClusterSupport!]!\n}\n\ntype Count {\n  name: String!\n  count: Int!\n}\n\ntype User {\n  username: String!\n  name: String!\n  email: String!\n}\n\ninput MetricStatItem {\n  metricName: String!\n  range: FloatRange!\n}\n\ntype Query {\n  clusters: [Cluster!]! 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# Slurm partitions\n  subClusters: [SubCluster!]! # Hardware partitions/subclusters\n}\n\ntype SubCluster {\n  name: String!\n  nodes: String!\n  numberOfNodes: Int!\n  processorType: String!\n  socketsPerNode: Int!\n  coresPerSocket: Int!\n  threadsPerCore: Int!\n  flopRateScalar: MetricValue!\n  flopRateSimd: MetricValue!\n  memoryBandwidth: MetricValue!\n  topology: Topology!\n  metricConfig: [MetricConfig!]!\n  footprint: [String!]!\n}\n\ntype FootprintValue {\n  name: String!\n  stat: String!\n  value: Float!\n}\n\ntype EnergyFootprintValue {\n  hardware: String!\n  metric: String!\n  value: Float!\n}\n\ntype MetricValue {\n  name: String\n  unit: Unit!\n  value: Float!\n}\n\ntype Topology {\n  node: [Int!]\n  socket: [[Int!]!]\n  memoryDomain: [[Int!]!]\n  die: [[Int!]!]\n  core: [[Int!]!]\n  accelerators: [Accelerator!]\n}\n\ntype Accelerator {\n  id: String!\n  type: String!\n  model: String!\n}\n\ntype SubClusterConfig {\n  name: String!\n  peak: Float\n  normal: Float\n  caution: Float\n  alert: Float\n  remove: Boolean\n}\n\ntype MetricConfig {\n  name: String!\n  unit: Unit!\n  scope: MetricScope!\n  aggregation: String!\n  timestep: Int!\n  peak: Float!\n  normal: Float\n  caution: Float!\n  alert: Float!\n  lowerIsBetter: Boolean\n  subClusters: [SubClusterConfig!]!\n}\n\ntype Tag {\n  id: ID!\n  type: String!\n  name: String!\n  scope: String!\n}\n\ntype Resource {\n  hostname: String!\n  hwthreads: [Int!]\n  accelerators: [String!]\n  configuration: String\n}\n\ntype JobMetricWithName {\n  name: String!\n  scope: MetricScope!\n  metric: JobMetric!\n}\n\ntype ClusterMetricWithName {\n  name: String!\n  unit: Unit\n  timestep: Int!\n  data: [NullableFloat!]!\n}\n\ntype JobMetric {\n  unit: Unit\n  timestep: Int!\n  series: [Series!]\n  statisticsSeries: StatsSeries\n}\n\ntype Series {\n  hostname: String!\n  id: String\n  statistics: MetricStatistics\n  data: [NullableFloat!]!\n}\n\ntype StatsSeries {\n  mean: [NullableFloat!]!\n  median: [NullableFloat!]!\n  min: [NullableFloat!]!\n  max: [NullableFloat!]!\n}\n\ntype NamedStatsWithScope {\n  name: String!\n  scope: MetricScope!\n  stats: [ScopedStats!]!\n}\n\ntype ScopedStats {\n  hostname: String!\n  id: String\n  data: MetricStatistics!\n}\n\ntype JobStats {\n  id: Int!\n  jobId: String!\n  startTime: Int!\n  duration: Int!\n  cluster: String!\n  subCluster: String!\n  numNodes: Int!\n  numHWThreads: Int\n  numAccelerators: Int\n  stats: [NamedStats!]!\n}\n\ntype NamedStats {\n  name: String!\n  data: MetricStatistics!\n}\n\ntype Unit {\n  base: String!\n  prefix: String\n}\n\ntype MetricStatistics {\n  avg: Float!\n  min: Float!\n  max: Float!\n}\n\ntype MetricFootprints {\n  metric: String!\n  data: [NullableFloat!]!\n}\n\ntype Footprints {\n  timeWeights: TimeWeights!\n  metrics: [MetricFootprints!]!\n}\n\ntype TimeWeights {\n  nodeHours: [NullableFloat!]!\n  accHours: [NullableFloat!]!\n  coreHours: [NullableFloat!]!\n}\n\nenum ResampleAlgo {\n  LTTB\n  AVERAGE\n  SIMPLE\n}\n\nenum Aggregate {\n  USER\n  PROJECT\n  CLUSTER\n  SUBCLUSTER\n}\nenum SortByAggregate {\n  TOTALWALLTIME\n  TOTALJOBS\n  TOTALUSERS\n  TOTALNODES\n  TOTALNODEHOURS\n  TOTALCORES\n  TOTALCOREHOURS\n  TOTALACCS\n  TOTALACCHOURS\n}\n\ntype NodeMetrics {\n  host: String!\n  nodeState: String!\n  metricHealth: String!\n  subCluster: String!\n  metrics: [JobMetricWithName!]!\n}\n\ntype ClusterMetrics {\n  nodeCount: Int!\n  metrics: [ClusterMetricWithName!]!\n}\n\ntype NodesResultList {\n  items: [NodeMetrics!]!\n  offset: Int\n  limit: Int\n  count: Int\n  totalNodes: Int\n  hasNextPage: Boolean\n}\n\ntype ClusterSupport {\n  cluster: String!\n  subClusters: [String!]!\n}\n\ntype GlobalMetricListItem {\n  name: String!\n  unit: Unit!\n  scope: MetricScope!\n  footprint: String\n  availability: [ClusterSupport!]!\n}\n\ntype Count {\n  name: String!\n  count: Int!\n}\n\ntype User {\n  username: String!\n  name: String!\n  email: String!\n}\n\ninput MetricStatItem {\n  metricName: String!\n  range: FloatRange!\n}\n\ntype Query {\n  clusters: [Cluster!]! # List of all clusters\n  tags: [Tag!]! # List of all tags\n  globalMetrics: [GlobalMetricListItem!]!\n\n  user(username: String!): User\n  allocatedNodes(cluster: String!): [Count!]!\n\n  ## Node Queries New\n  node(id: ID!): Node\n  nodes(filter: [NodeFilter!], order: OrderByInput): NodeStateResultList!\n  nodesWithMeta(filter: [NodeFilter!], order: OrderByInput): NodeStateResultList!\n  nodeStates(filter: [NodeFilter!]): [NodeStates!]!\n  nodeStatesTimed(filter: [NodeFilter!], type: String!): [NodeStatesTimed!]!\n\n  job(id: ID!): Job\n  jobMetrics(\n    id: ID!\n    metrics: [String!]\n    scopes: [MetricScope!]\n    resolution: Int\n  ): [JobMetricWithName!]!\n\n  jobStats(id: ID!, metrics: [String!]): [NamedStats!]!\n\n  scopedJobStats(\n    id: ID!\n    metrics: [String!]\n    scopes: [MetricScope!]\n  ): [NamedStatsWithScope!]!\n\n  jobs(\n    filter: [JobFilter!]\n    page: PageRequest\n    order: OrderByInput\n  ): JobResultList!\n\n  jobsStatistics(\n    filter: [JobFilter!]\n    metrics: [String!]\n    page: PageRequest\n    sortBy: SortByAggregate\n    groupBy: Aggregate\n    numDurationBins: String\n    numMetricBins: Int\n  ): [JobsStatistics!]!\n\n  jobsMetricStats(filter: [JobFilter!], metrics: [String!]): [JobStats!]!\n  jobsFootprints(filter: [JobFilter!], metrics: [String!]!): Footprints\n\n  rooflineHeatmap(\n    filter: [JobFilter!]!\n    rows: Int!\n    cols: Int!\n    minX: Float!\n    minY: Float!\n    maxX: Float!\n    maxY: Float!\n  ): [[Float!]!]!\n\n  nodeMetrics(\n    cluster: String!\n    nodes: [String!]\n    scopes: [MetricScope!]\n    metrics: [String!]\n    from: Time!\n    to: Time!\n  ): [NodeMetrics!]!\n\n  nodeMetricsList(\n    cluster: String!\n    subCluster: String!\n    stateFilter: String!\n    nodeFilter: String!\n    scopes: [MetricScope!]\n    metrics: [String!]\n    from: Time!\n    to: Time!\n    page: PageRequest\n    resolution: Int\n  ): NodesResultList!\n\n  clusterMetrics(\n    cluster: String!\n    metrics: [String!]\n    from: Time!\n    to: Time!\n  ): ClusterMetrics!\n}\n\ntype Mutation {\n  createTag(type: String!, name: String!, scope: String!): Tag!\n  deleteTag(id: ID!): ID!\n  addTagsToJob(job: ID!, tagIds: [ID!]!): [Tag!]!\n  removeTagsFromJob(job: ID!, tagIds: [ID!]!): [Tag!]!\n  removeTagFromList(tagIds: [ID!]!): [Int!]!\n\n  updateConfiguration(name: String!, value: String!): String\n}\n\ntype IntRangeOutput {\n  from: Int!\n  to: Int!\n}\ntype TimeRangeOutput {\n  range: String\n  from: Time!\n  to: Time!\n}\n\ninput NodeFilter {\n  hostname: StringInput\n  cluster: StringInput\n  subCluster: StringInput\n  schedulerState: SchedulerState\n  healthState: MonitoringState\n  timeStart: Int\n}\n\ninput JobFilter {\n  tags: [ID!]\n  dbId: [ID!]\n  jobId: StringInput\n  arrayJobId: Int\n  user: StringInput\n  project: StringInput\n  jobName: StringInput\n  cluster: StringInput\n  subCluster: StringInput\n  partition: StringInput\n  duration: IntRange\n  energy: FloatRange\n\n  numNodes: IntRange\n  numAccelerators: IntRange\n  numHWThreads: IntRange\n\n  startTime: TimeRange\n  state: [JobState!]\n  metricStats: [MetricStatItem!]\n  shared: String\n  schedule: String\n  node: StringInput\n}\n\ninput OrderByInput {\n  field: String!\n  type: String!\n  order: SortDirectionEnum! = ASC\n}\n\nenum SortDirectionEnum {\n  DESC\n  ASC\n}\n\ninput StringInput {\n  eq: String\n  neq: String\n  contains: String\n  startsWith: String\n  endsWith: String\n  in: [String!]\n}\n\ninput IntRange {\n  from: Int!\n  to: Int!\n}\ninput TimeRange {\n  range: String\n  from: Time\n  to: Time\n}\n\ninput FloatRange {\n  from: Float!\n  to: Float!\n}\n\ntype NodeStateResultList {\n  items: [Node!]!\n  count: Int\n}\n\ntype JobResultList {\n  items: [Job!]!\n  offset: Int\n  limit: Int\n  count: Int\n  hasNextPage: Boolean\n}\n\ntype JobLinkResultList {\n  listQuery: String\n  items: [JobLink!]!\n  count: Int\n}\n\ntype HistoPoint {\n  count: Int!\n  value: Int!\n}\n\ntype MetricHistoPoints {\n  metric: String!\n  unit: String!\n  stat: String\n  data: [MetricHistoPoint!]\n}\n\ntype MetricHistoPoint {\n  bin: Int\n  count: Int!\n  min: Int\n  max: Int\n}\n\ntype JobsStatistics {\n  id: ID! # If `groupBy` was used, ID of the user/project/cluster/subcluster\n  name: String! # if User-Statistics: Given Name of Account (ID) Owner\n  totalUsers: Int! # if *not* User-Statistics: Number of active users (based on running jobs)\n  totalJobs: Int! # Number of jobs\n  runningJobs: Int! # Number of running jobs\n  shortJobs: Int! # Number of jobs with a duration of less than config'd ShortRunningJobsDuration\n  totalWalltime: Int! # Sum of the duration of all matched jobs in hours\n  totalNodes: Int! # Sum of the nodes of all matched jobs\n  totalNodeHours: Int! # Sum of the node hours of all matched jobs\n  totalCores: Int! # Sum of the cores of all matched jobs\n  totalCoreHours: Int! # Sum of the core hours of all matched jobs\n  totalAccs: Int! # Sum of the accs of all matched jobs\n  totalAccHours: Int! # Sum of the gpu hours of all matched jobs\n  histDuration: [HistoPoint!]! # value: hour, count: number of jobs with a rounded duration of value\n  histNumNodes: [HistoPoint!]! # value: number of nodes, count: number of jobs with that number of nodes\n  histNumCores: [HistoPoint!]! # value: number of cores, count: number of jobs with that number of cores\n  histNumAccs: [HistoPoint!]! 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# Slurm partitions\n  subClusters: [SubCluster!]! # Hardware partitions/subclusters\n}\n\ntype SubCluster {\n  name: String!\n  nodes: String!\n  numberOfNodes: Int!\n  processorType: String!\n  socketsPerNode: Int!\n  coresPerSocket: Int!\n  threadsPerCore: Int!\n  flopRateScalar: MetricValue!\n  flopRateSimd: MetricValue!\n  memoryBandwidth: MetricValue!\n  topology: Topology!\n  metricConfig: [MetricConfig!]!\n  footprint: [String!]!\n}\n\ntype FootprintValue {\n  name: String!\n  stat: String!\n  value: Float!\n}\n\ntype EnergyFootprintValue {\n  hardware: String!\n  metric: String!\n  value: Float!\n}\n\ntype MetricValue {\n  name: String\n  unit: Unit!\n  value: Float!\n}\n\ntype Topology {\n  node: [Int!]\n  socket: [[Int!]!]\n  memoryDomain: [[Int!]!]\n  die: [[Int!]!]\n  core: [[Int!]!]\n  accelerators: [Accelerator!]\n}\n\ntype Accelerator {\n  id: String!\n  type: String!\n  model: String!\n}\n\ntype SubClusterConfig {\n  name: String!\n  peak: Float\n  normal: Float\n  caution: Float\n  alert: Float\n  remove: Boolean\n}\n\ntype MetricConfig {\n  name: String!\n  unit: Unit!\n  scope: MetricScope!\n  aggregation: String!\n  timestep: Int!\n  peak: Float!\n  normal: Float\n  caution: Float!\n  alert: Float!\n  lowerIsBetter: Boolean\n  subClusters: [SubClusterConfig!]!\n}\n\ntype Tag {\n  id: ID!\n  type: String!\n  name: String!\n  scope: String!\n}\n\ntype Resource {\n  hostname: String!\n  hwthreads: [Int!]\n  accelerators: [String!]\n  configuration: String\n}\n\ntype JobMetricWithName {\n  name: String!\n  scope: MetricScope!\n  metric: JobMetric!\n}\n\ntype ClusterMetricWithName {\n  name: String!\n  unit: Unit\n  timestep: Int!\n  data: [NullableFloat!]!\n}\n\ntype JobMetric {\n  unit: Unit\n  timestep: Int!\n  series: [Series!]\n  statisticsSeries: StatsSeries\n}\n\ntype Series {\n  hostname: String!\n  id: String\n  statistics: MetricStatistics\n  data: [NullableFloat!]!\n}\n\ntype StatsSeries {\n  mean: [NullableFloat!]!\n  median: [NullableFloat!]!\n  min: [NullableFloat!]!\n  max: [NullableFloat!]!\n}\n\ntype NamedStatsWithScope {\n  name: String!\n  scope: MetricScope!\n  stats: [ScopedStats!]!\n}\n\ntype ScopedStats {\n  hostname: String!\n  id: String\n  data: MetricStatistics!\n}\n\ntype JobStats {\n  id: Int!\n  jobId: String!\n  startTime: Int!\n  duration: Int!\n  cluster: String!\n  subCluster: String!\n  numNodes: Int!\n  numHWThreads: Int\n  numAccelerators: Int\n  stats: [NamedStats!]!\n}\n\ntype NamedStats {\n  name: String!\n  data: MetricStatistics!\n}\n\ntype Unit {\n  base: String!\n  prefix: String\n}\n\ntype MetricStatistics {\n  avg: Float!\n  min: Float!\n  max: Float!\n}\n\ntype MetricFootprints {\n  metric: String!\n  data: [NullableFloat!]!\n}\n\ntype Footprints {\n  timeWeights: TimeWeights!\n  metrics: [MetricFootprints!]!\n}\n\ntype TimeWeights {\n  nodeHours: [NullableFloat!]!\n  accHours: [NullableFloat!]!\n  coreHours: [NullableFloat!]!\n}\n\nenum ResampleAlgo {\n  LTTB\n  AVERAGE\n  SIMPLE\n}\n\nenum Aggregate {\n  USER\n  PROJECT\n  CLUSTER\n  SUBCLUSTER\n}\nenum SortByAggregate {\n  TOTALWALLTIME\n  TOTALJOBS\n  TOTALUSERS\n  TOTALNODES\n  TOTALNODEHOURS\n  TOTALCORES\n  TOTALCOREHOURS\n  TOTALACCS\n  TOTALACCHOURS\n}\n\ntype NodeMetrics {\n  host: String!\n  nodeState: String!\n  metricHealth: String!\n  subCluster: String!\n  metrics: [JobMetricWithName!]!\n}\n\ntype ClusterMetrics {\n  nodeCount: Int!\n  metrics: [ClusterMetricWithName!]!\n}\n\ntype NodesResultList {\n  items: [NodeMetrics!]!\n  offset: Int\n  limit: Int\n  count: Int\n  totalNodes: Int\n  hasNextPage: Boolean\n}\n\ntype ClusterSupport {\n  cluster: String!\n  subClusters: [String!]!\n}\n\ntype GlobalMetricListItem {\n  name: String!\n  unit: Unit!\n  scope: MetricScope!\n  footprint: String\n  availability: [ClusterSupport!]!\n}\n\ntype Count {\n  name: String!\n  count: Int!\n}\n\ntype User {\n  username: String!\n  name: String!\n  email: String!\n}\n\ninput MetricStatItem {\n  metricName: String!\n  range: FloatRange!\n}\n\ntype Query {\n  clusters: [Cluster!]! # List of all clusters\n  tags: [Tag!]! # List of all tags\n  globalMetrics: [GlobalMetricListItem!]!\n\n  user(username: String!): User\n  allocatedNodes(cluster: String!): [Count!]!\n\n  ## Node Queries New\n  node(id: ID!): Node\n  nodes(filter: [NodeFilter!], order: OrderByInput): NodeStateResultList!\n  nodesWithMeta(filter: [NodeFilter!], order: OrderByInput): NodeStateResultList!\n  nodeStates(filter: [NodeFilter!]): [NodeStates!]!\n  nodeStatesTimed(filter: [NodeFilter!], type: String!): [NodeStatesTimed!]!\n\n  job(id: ID!): Job\n  jobMetrics(\n    id: ID!\n    metrics: [String!]\n    scopes: [MetricScope!]\n    resolution: Int\n    resampleAlgo: ResampleAlgo\n  ): [JobMetricWithName!]!\n\n  jobStats(id: ID!, metrics: [String!]): [NamedStats!]!\n\n  scopedJobStats(\n    id: ID!\n    metrics: [String!]\n    scopes: [MetricScope!]\n  ): [NamedStatsWithScope!]!\n\n  jobs(\n    filter: [JobFilter!]\n    page: PageRequest\n    order: OrderByInput\n  ): JobResultList!\n\n  jobsStatistics(\n    filter: [JobFilter!]\n    metrics: [String!]\n    page: PageRequest\n    sortBy: SortByAggregate\n    groupBy: Aggregate\n    numDurationBins: String\n    numMetricBins: Int\n  ): [JobsStatistics!]!\n\n  jobsMetricStats(filter: [JobFilter!], metrics: [String!]): [JobStats!]!\n  jobsFootprints(filter: [JobFilter!], metrics: [String!]!): Footprints\n\n  rooflineHeatmap(\n    filter: [JobFilter!]!\n    rows: Int!\n    cols: Int!\n    minX: Float!\n    minY: Float!\n    maxX: Float!\n    maxY: Float!\n  ): [[Float!]!]!\n\n  nodeMetrics(\n    cluster: String!\n    nodes: [String!]\n    scopes: [MetricScope!]\n    metrics: [String!]\n    from: Time!\n    to: Time!\n  ): [NodeMetrics!]!\n\n  nodeMetricsList(\n    cluster: String!\n    subCluster: String!\n    stateFilter: String!\n    nodeFilter: String!\n    scopes: [MetricScope!]\n    metrics: [String!]\n    from: Time!\n    to: Time!\n    page: PageRequest\n    resolution: Int\n  ): NodesResultList!\n\n  clusterMetrics(\n    cluster: String!\n    metrics: [String!]\n    from: Time!\n    to: Time!\n  ): ClusterMetrics!\n}\n\ntype Mutation {\n  createTag(type: String!, name: String!, scope: String!): Tag!\n  deleteTag(id: ID!): ID!\n  addTagsToJob(job: ID!, tagIds: [ID!]!): [Tag!]!\n  removeTagsFromJob(job: ID!, tagIds: [ID!]!): [Tag!]!\n  removeTagFromList(tagIds: [ID!]!): [Int!]!\n\n  updateConfiguration(name: String!, value: String!): String\n}\n\ntype IntRangeOutput {\n  from: Int!\n  to: Int!\n}\ntype TimeRangeOutput {\n  range: String\n  from: Time!\n  to: Time!\n}\n\ninput NodeFilter {\n  hostname: StringInput\n  cluster: StringInput\n  subCluster: StringInput\n  schedulerState: SchedulerState\n  healthState: MonitoringState\n  timeStart: Int\n}\n\ninput JobFilter {\n  tags: [ID!]\n  dbId: [ID!]\n  jobId: StringInput\n  arrayJobId: Int\n  user: StringInput\n  project: StringInput\n  jobName: StringInput\n  cluster: StringInput\n  subCluster: StringInput\n  partition: StringInput\n  duration: IntRange\n  energy: FloatRange\n\n  numNodes: IntRange\n  numAccelerators: IntRange\n  numHWThreads: IntRange\n\n  startTime: TimeRange\n  state: [JobState!]\n  metricStats: [MetricStatItem!]\n  shared: String\n  schedule: String\n  node: StringInput\n}\n\ninput OrderByInput {\n  field: String!\n  type: String!\n  order: SortDirectionEnum! = ASC\n}\n\nenum SortDirectionEnum {\n  DESC\n  ASC\n}\n\ninput StringInput {\n  eq: String\n  neq: String\n  contains: String\n  startsWith: String\n  endsWith: String\n  in: [String!]\n}\n\ninput IntRange {\n  from: Int!\n  to: Int!\n}\ninput TimeRange {\n  range: String\n  from: Time\n  to: Time\n}\n\ninput FloatRange {\n  from: Float!\n  to: Float!\n}\n\ntype NodeStateResultList {\n  items: [Node!]!\n  count: Int\n}\n\ntype JobResultList {\n  items: [Job!]!\n  offset: Int\n  limit: Int\n  count: Int\n  hasNextPage: Boolean\n}\n\ntype JobLinkResultList {\n  listQuery: String\n  items: [JobLink!]!\n  count: Int\n}\n\ntype HistoPoint {\n  count: Int!\n  value: Int!\n}\n\ntype MetricHistoPoints {\n  metric: String!\n  unit: String!\n  stat: String\n  data: [MetricHistoPoint!]\n}\n\ntype MetricHistoPoint {\n  bin: Int\n  count: Int!\n  min: Int\n  max: Int\n}\n\ntype JobsStatistics {\n  id: ID! # If `groupBy` was used, ID of the user/project/cluster/subcluster\n  name: String! # if User-Statistics: Given Name of Account (ID) Owner\n  totalUsers: Int! # if *not* User-Statistics: Number of active users (based on running jobs)\n  totalJobs: Int! # Number of jobs\n  runningJobs: Int! # Number of running jobs\n  shortJobs: Int! # Number of jobs with a duration of less than config'd ShortRunningJobsDuration\n  totalWalltime: Int! # Sum of the duration of all matched jobs in hours\n  totalNodes: Int! # Sum of the nodes of all matched jobs\n  totalNodeHours: Int! # Sum of the node hours of all matched jobs\n  totalCores: Int! # Sum of the cores of all matched jobs\n  totalCoreHours: Int! # Sum of the core hours of all matched jobs\n  totalAccs: Int! # Sum of the accs of all matched jobs\n  totalAccHours: Int! # Sum of the gpu hours of all matched jobs\n  histDuration: [HistoPoint!]! # value: hour, count: number of jobs with a rounded duration of value\n  histNumNodes: [HistoPoint!]! # value: number of nodes, count: number of jobs with that number of nodes\n  histNumCores: [HistoPoint!]! # value: number of cores, count: number of jobs with that number of cores\n  histNumAccs: [HistoPoint!]! # value: number of accs, count: number of jobs with that number of accs\n  histMetrics: [MetricHistoPoints!]! # metric: metricname, data array of histopoints: value: metric average bin, count: number of jobs with that metric average\n}\n\ninput PageRequest {\n  itemsPerPage: Int!\n  page: Int!\n}\n","structuredPatch":[{"oldStart":406,"oldLines":6,"newStart":406,"newLines":7,"lines":["     to: Time!","     page: PageRequest","     resolution: Int","+    resampleAlgo: ResampleAlgo","   ): NodesResultList!"," ","   clusterMetrics("]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"9a3078e8-1920-46d2-8e7a-e10e4ad189df","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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+{"parentUuid":"adc207ce-7b4f-4187-9bb2-6a4cb2979fb2","isSidechain":false,"promptId":"1c46e1b2-ade5-44be-90d9-e93109c02833","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012kc9GbffMrNyXjHBEfi1SX","type":"tool_result","content":"===>  GENERATE graphql","is_error":false}]},"uuid":"2f058943-a6eb-4b49-bb3c-aaa9db2bf8d0","timestamp":"2026-03-19T19:49:37.281Z","toolUseResult":{"stdout":"===>  GENERATE graphql","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"adc207ce-7b4f-4187-9bb2-6a4cb2979fb2","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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+{"parentUuid":"fe8e646d-3130-4a48-8b71-cb81e60ab948","isSidechain":false,"promptId":"1c46e1b2-ade5-44be-90d9-e93109c02833","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DBCxQfsNMisgtFd7BjcPUH","type":"tool_result","content":"internal/graph/schema.resolvers.go:501:func (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int, resampleAlgo *model.ResampleAlgo) ([]*model.JobMetricWithName, error) {\ninternal/graph/schema.resolvers.go:875:func (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int, resampleAlgo *model.ResampleAlgo) (*model.NodesResultList, error) {\ninternal/graph/model/models_gen.go:331:type ResampleAlgo string\ninternal/graph/model/models_gen.go:334:\tResampleAlgoLttb    ResampleAlgo = \"LTTB\"\ninternal/graph/model/models_gen.go:335:\tResampleAlgoAverage ResampleAlgo = \"AVERAGE\"\ninternal/graph/model/models_gen.go:336:\tResampleAlgoSimple  ResampleAlgo = \"SIMPLE\"\ninternal/graph/model/models_gen.go:339:var AllResampleAlgo = []ResampleAlgo{\ninternal/graph/model/models_gen.go:340:\tResampleAlgoLttb,\ninternal/graph/model/models_gen.go:341:\tResampleAlgoAverage,\ninternal/graph/model/models_gen.go:342:\tResampleAlgoSimple,\ninternal/graph/model/models_gen.go:345:func (e ResampleAlgo) IsValid() bool {\ninternal/graph/model/models_gen.go:347:\tcase ResampleAlgoLttb, ResampleAlgoAverage, ResampleAlgoSimple:\ninternal/graph/model/models_gen.go:353:func (e ResampleAlgo) String() string {\ninternal/graph/model/models_gen.go:357:func (e *ResampleAlgo) UnmarshalGQL(v any) error {\ninternal/graph/model/models_gen.go:363:\t*e = ResampleAlgo(str)\ninternal/graph/model/models_gen.go:365:\t\treturn fmt.Errorf(\"%s is not a valid ResampleAlgo\", str)\ninternal/graph/model/models_gen.go:370:func (e ResampleAlgo) MarshalGQL(w io.Writer) {\ninternal/graph/model/models_gen.go:374:func (e *ResampleAlgo) UnmarshalJSON(b []byte) error {\ninternal/graph/model/models_gen.go:382:func (e ResampleAlgo) MarshalJSON() ([]byte, error) {\ninternal/graph/generated/generated.go:329:\t\tJobMetrics      func(childComplexity int, id string, metrics []string, scopes []schema.MetricScope, resolution *int, resampleAlgo *model.ResampleAlgo) int\ninternal/graph/generated/generated.go:337:\t\tNodeMetricsList func(childComplexity int, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int, resampleAlgo *model.ResampleAlgo) int\ninternal/graph/generated/generated.go:485:\tJobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int, resampleAlgo *model.ResampleAlgo) ([]*model.JobMetricWithName, error)\ninternal/graph/generated/generated.go:494:\tNodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int, resampleAlgo *model.ResampleAlgo) (*model.NodesResultList, error)\ninternal/graph/generated/generated.go:1668:\t\treturn e.ComplexityRoot.Query.JobMetrics(childComplexity, args[\"id\"].(string), args[\"metrics\"].([]string), args[\"scopes\"].([]schema.MetricScope), args[\"resolution\"].(*int), args[\"resampleAlgo\"].(*model.ResampleAlgo)), true\ninternal/graph/generated/generated.go:1756:\t\treturn e.ComplexityRoot.Query.NodeMetricsList(childComplexity, args[\"cluster\"].(string), args[\"subCluster\"].(string), args[\"stateFilter\"].(string), args[\"nodeFilter\"].(string), args[\"scopes\"].([]schema.MetricScope), args[\"metrics\"].([]string), args[\"from\"].(time.Time), args[\"to\"].(time.Time), args[\"page\"].(*model.PageRequest), args[\"resolution\"].(*int), args[\"resampleAlgo\"].(*model.ResampleAlgo)), true\ninternal/graph/generated/generated.go:2527:enum ResampleAlgo {\ninternal/graph/generated/generated.go:2623:    resampleAlgo: ResampleAlgo\ninternal/graph/generated/generated.go:2683:    resampleAlgo: ResampleAlgo\ninternal/graph/generated/generated.go:3017:\targ4, err := graphql.ProcessArgField(ctx, rawArgs, \"resampleAlgo\", ec.unmarshalOResampleAlgo2ᚖgithubᚗcomᚋClusterCockpitᚋccᚑbackendᚋinternalᚋgraphᚋmodelᚐResampleAlgo)\ninternal/graph/generated/generated.go:3199:\targ10, err := graphql.ProcessArgField(ctx, rawArgs, \"resampleAlgo\", ec.unmarshalOResampleAlgo2ᚖgithubᚗcomᚋClusterCockpitᚋccᚑbackendᚋinternalᚋgraphᚋmodelᚐResampleAlgo)\ninternal/graph/generated/generated.go:9457:\t\t\treturn ec.Resolvers.Query().JobMetrics(ctx, fc.Args[\"id\"].(string), fc.Args[\"metrics\"].([]string), fc.Args[\"scopes\"].([]schema.MetricScope), fc.Args[\"resolution\"].(*int), fc.Args[\"resampleAlgo\"].(*model.ResampleAlgo))\ninternal/graph/generated/generated.go:9938:\t\t\treturn ec.Resolvers.Query().NodeMetricsList(ctx, fc.Args[\"cluster\"].(string), fc.Args[\"subCluster\"].(string), fc.Args[\"stateFilter\"].(string), fc.Args[\"nodeFilter\"].(string), fc.Args[\"scopes\"].([]schema.MetricScope), fc.Args[\"metrics\"].([]string), fc.Args[\"from\"].(time.Time), fc.Args[\"to\"].(time.Time), fc.Args[\"page\"].(*model.PageRequest), fc.Args[\"resolution\"].(*int), fc.Args[\"resampleAlgo\"].(*model.ResampleAlgo))\ninternal/graph/generated/generated.go:19693:func (ec *executionContext) unmarshalOResampleAlgo2ᚖgithubᚗcomᚋClusterCockpitᚋccᚑbackendᚋinternalᚋgraphᚋmodelᚐResampleAlgo(ctx context.Context, v any) (*model.ResampleAlgo, error) {\ninternal/graph/generated/generated.go:19697:\tvar res = new(model.ResampleAlgo)\ninternal/graph/generated/generated.go:19702:func (ec *executionContext) marshalOResampleAlgo2ᚖgithubᚗcomᚋClusterCockpitᚋccᚑbackendᚋinternalᚋgraphᚋmodelᚐResampleAlgo(ctx context.Context, sel ast.SelectionSet, v *model.ResampleAlgo) graphql.Marshaler {"}]},"uuid":"32d58324-b391-4673-96b6-996bd4a662ee","timestamp":"2026-03-19T19:49:41.351Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"internal/graph/schema.resolvers.go:501:func (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int, resampleAlgo *model.ResampleAlgo) ([]*model.JobMetricWithName, error) {\ninternal/graph/schema.resolvers.go:875:func (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int, resampleAlgo *model.ResampleAlgo) (*model.NodesResultList, error) {\ninternal/graph/model/models_gen.go:331:type ResampleAlgo string\ninternal/graph/model/models_gen.go:334:\tResampleAlgoLttb    ResampleAlgo = \"LTTB\"\ninternal/graph/model/models_gen.go:335:\tResampleAlgoAverage ResampleAlgo = \"AVERAGE\"\ninternal/graph/model/models_gen.go:336:\tResampleAlgoSimple  ResampleAlgo = \"SIMPLE\"\ninternal/graph/model/models_gen.go:339:var AllResampleAlgo = []ResampleAlgo{\ninternal/graph/model/models_gen.go:340:\tResampleAlgoLttb,\ninternal/graph/model/models_gen.go:341:\tResampleAlgoAverage,\ninternal/graph/model/models_gen.go:342:\tResampleAlgoSimple,\ninternal/graph/model/models_gen.go:345:func (e ResampleAlgo) IsValid() bool {\ninternal/graph/model/models_gen.go:347:\tcase ResampleAlgoLttb, ResampleAlgoAverage, ResampleAlgoSimple:\ninternal/graph/model/models_gen.go:353:func (e ResampleAlgo) String() string {\ninternal/graph/model/models_gen.go:357:func (e *ResampleAlgo) UnmarshalGQL(v any) error {\ninternal/graph/model/models_gen.go:363:\t*e = ResampleAlgo(str)\ninternal/graph/model/models_gen.go:365:\t\treturn fmt.Errorf(\"%s is not a valid ResampleAlgo\", str)\ninternal/graph/model/models_gen.go:370:func (e ResampleAlgo) MarshalGQL(w io.Writer) {\ninternal/graph/model/models_gen.go:374:func (e *ResampleAlgo) UnmarshalJSON(b []byte) error {\ninternal/graph/model/models_gen.go:382:func (e ResampleAlgo) MarshalJSON() ([]byte, error) {\ninternal/graph/generated/generated.go:329:\t\tJobMetrics      func(childComplexity int, id string, metrics []string, scopes []schema.MetricScope, resolution *int, resampleAlgo *model.ResampleAlgo) int\ninternal/graph/generated/generated.go:337:\t\tNodeMetricsList func(childComplexity int, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int, resampleAlgo *model.ResampleAlgo) int\ninternal/graph/generated/generated.go:485:\tJobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int, resampleAlgo *model.ResampleAlgo) ([]*model.JobMetricWithName, error)\ninternal/graph/generated/generated.go:494:\tNodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int, resampleAlgo *model.ResampleAlgo) (*model.NodesResultList, error)\ninternal/graph/generated/generated.go:1668:\t\treturn e.ComplexityRoot.Query.JobMetrics(childComplexity, args[\"id\"].(string), args[\"metrics\"].([]string), args[\"scopes\"].([]schema.MetricScope), args[\"resolution\"].(*int), args[\"resampleAlgo\"].(*model.ResampleAlgo)), true\ninternal/graph/generated/generated.go:1756:\t\treturn e.ComplexityRoot.Query.NodeMetricsList(childComplexity, args[\"cluster\"].(string), args[\"subCluster\"].(string), args[\"stateFilter\"].(string), args[\"nodeFilter\"].(string), args[\"scopes\"].([]schema.MetricScope), args[\"metrics\"].([]string), args[\"from\"].(time.Time), args[\"to\"].(time.Time), args[\"page\"].(*model.PageRequest), args[\"resolution\"].(*int), args[\"resampleAlgo\"].(*model.ResampleAlgo)), true\ninternal/graph/generated/generated.go:2527:enum ResampleAlgo {\ninternal/graph/generated/generated.go:2623:    resampleAlgo: ResampleAlgo\ninternal/graph/generated/generated.go:2683:    resampleAlgo: ResampleAlgo\ninternal/graph/generated/generated.go:3017:\targ4, err := graphql.ProcessArgField(ctx, rawArgs, \"resampleAlgo\", ec.unmarshalOResampleAlgo2ᚖgithubᚗcomᚋClusterCockpitᚋccᚑbackendᚋinternalᚋgraphᚋmodelᚐResampleAlgo)\ninternal/graph/generated/generated.go:3199:\targ10, err := graphql.ProcessArgField(ctx, rawArgs, \"resampleAlgo\", ec.unmarshalOResampleAlgo2ᚖgithubᚗcomᚋClusterCockpitᚋccᚑbackendᚋinternalᚋgraphᚋmodelᚐResampleAlgo)\ninternal/graph/generated/generated.go:9457:\t\t\treturn ec.Resolvers.Query().JobMetrics(ctx, fc.Args[\"id\"].(string), fc.Args[\"metrics\"].([]string), fc.Args[\"scopes\"].([]schema.MetricScope), fc.Args[\"resolution\"].(*int), fc.Args[\"resampleAlgo\"].(*model.ResampleAlgo))\ninternal/graph/generated/generated.go:9938:\t\t\treturn ec.Resolvers.Query().NodeMetricsList(ctx, fc.Args[\"cluster\"].(string), fc.Args[\"subCluster\"].(string), fc.Args[\"stateFilter\"].(string), fc.Args[\"nodeFilter\"].(string), fc.Args[\"scopes\"].([]schema.MetricScope), fc.Args[\"metrics\"].([]string), fc.Args[\"from\"].(time.Time), fc.Args[\"to\"].(time.Time), fc.Args[\"page\"].(*model.PageRequest), fc.Args[\"resolution\"].(*int), fc.Args[\"resampleAlgo\"].(*model.ResampleAlgo))\ninternal/graph/generated/generated.go:19693:func (ec *executionContext) unmarshalOResampleAlgo2ᚖgithubᚗcomᚋClusterCockpitᚋccᚑbackendᚋinternalᚋgraphᚋmodelᚐResampleAlgo(ctx context.Context, v any) (*model.ResampleAlgo, error) {\ninternal/graph/generated/generated.go:19697:\tvar res = new(model.ResampleAlgo)\ninternal/graph/generated/generated.go:19702:func (ec *executionContext) marshalOResampleAlgo2ᚖgithubᚗcomᚋClusterCockpitᚋccᚑbackendᚋinternalᚋgraphᚋmodelᚐResampleAlgo(ctx context.Context, sel ast.SelectionSet, v *model.ResampleAlgo) graphql.Marshaler {","numLines":35},"sourceToolAssistantUUID":"fe8e646d-3130-4a48-8b71-cb81e60ab948","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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+{"parentUuid":"7c8cb975-46c6-4381-b8e5-753b7f235ee8","isSidechain":false,"promptId":"1c46e1b2-ade5-44be-90d9-e93109c02833","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KUPcbufnB5bLz7KE4hFvhG","type":"tool_result","content":"   500→// JobMetrics is the resolver for the jobMetrics field.\n   501→func (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int, resampleAlgo *model.ResampleAlgo) ([]*model.JobMetricWithName, error) {\n   502→\tif resolution == nil { // Load from Config\n   503→\t\tif config.Keys.EnableResampling != nil {\n   504→\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n   505→\t\t\tresolution = &defaultRes\n   506→\t\t} else { // Set 0 (Loads configured metric timestep)\n   507→\t\t\tdefaultRes := 0\n   508→\t\t\tresolution = &defaultRes\n   509→\t\t}\n   510→\t}\n   511→\n   512→\tjob, err := r.Query().Job(ctx, id)\n   513→\tif err != nil {\n   514→\t\tcclog.Warn(\"Error while querying job for metrics\")\n   515→\t\treturn nil, err\n   516→\t}\n   517→\n   518→\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution)\n   519→\tif err != nil {\n   520→\t\tcclog.Warn(\"Error while loading job data\")\n   521→\t\treturn nil, err\n   522→\t}\n   523→\n   524→\tres := []*model.JobMetricWithName{}\n   525→\tfor name, md := range data {\n   526→\t\tfor scope, metric := range md {\n   527→\t\t\tres = append(res, &model.JobMetricWithName{\n   528→\t\t\t\tName:   name,\n   529→\t\t\t\tScope:  scope,\n   530→\t\t\t\tMetric: metric,\n   531→\t\t\t})\n   532→\t\t}\n   533→\t}\n   534→\n   535→\treturn res, err\n   536→}\n   537→\n   538→// JobStats is the resolver for the jobStats field.\n   539→func (r *queryResolver) JobStats(ctx context.Context, id string, metrics []string) ([]*model.NamedStats, error) {\n   540→\tjob, err := r.Query().Job(ctx, id)\n   541→\tif err != nil {\n   542→\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n   543→\t\treturn nil, err\n   544→\t}\n   545→\n   546→\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n   547→\tif err != nil {\n   548→\t\tcclog.Warnf(\"Error while loading jobStats data for job id %s\", id)\n   549→\t\treturn nil, err"}]},"uuid":"ca216301-42d8-4095-ae46-ae99876cf51f","timestamp":"2026-03-19T19:49:48.508Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/internal/graph/schema.resolvers.go","content":"// JobMetrics is the resolver for the jobMetrics field.\nfunc (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int, resampleAlgo *model.ResampleAlgo) ([]*model.JobMetricWithName, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying job for metrics\")\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobMetricWithName{}\n\tfor name, md := range data {\n\t\tfor scope, metric := range md {\n\t\t\tres = append(res, &model.JobMetricWithName{\n\t\t\t\tName:   name,\n\t\t\t\tScope:  scope,\n\t\t\t\tMetric: metric,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, err\n}\n\n// JobStats is the resolver for the jobStats field.\nfunc (r *queryResolver) JobStats(ctx context.Context, id string, metrics []string) ([]*model.NamedStats, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading jobStats data for job id %s\", id)\n\t\treturn nil, err","numLines":50,"startLine":500,"totalLines":1077}},"sourceToolAssistantUUID":"7c8cb975-46c6-4381-b8e5-753b7f235ee8","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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+{"parentUuid":"9e0034c9-4e05-427a-baf0-aa0991a3fe5f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Tk3ApYdNSvpo6fLQBDL2qF","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CXpPa7GqGsEUjrBaFogC7g","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/tmp/cc-backend/internal/graph/schema.resolvers.go","old_string":"\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobMetricWithName{}","new_string":"\talgoName := \"\"\n\tif resampleAlgo != nil {\n\t\talgoName = strings.ToLower(resampleAlgo.String())\n\t}\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution, algoName)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobMetricWithName{}"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":931,"cache_read_input_tokens":81666,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":931},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZD251pw4diF2drau5PZk","type":"assistant","uuid":"c84bd7d5-2ecb-4bed-9b4f-bd62686d4716","timestamp":"2026-03-19T19:49:54.697Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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+{"parentUuid":"c84bd7d5-2ecb-4bed-9b4f-bd62686d4716","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01CXpPa7GqGsEUjrBaFogC7g","toolUseID":"toolu_01CXpPa7GqGsEUjrBaFogC7g","timestamp":"2026-03-19T19:49:54.711Z","uuid":"e2315aff-61a9-4df2-8491-fcb299412f83","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
+{"parentUuid":"c84bd7d5-2ecb-4bed-9b4f-bd62686d4716","isSidechain":false,"promptId":"1c46e1b2-ade5-44be-90d9-e93109c02833","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CXpPa7GqGsEUjrBaFogC7g","type":"tool_result","content":"The file /Users/jan/tmp/cc-backend/internal/graph/schema.resolvers.go has been updated successfully."}]},"uuid":"1e5770e8-63cd-4d29-9080-8c96cb42d093","timestamp":"2026-03-19T19:49:54.711Z","toolUseResult":{"filePath":"/Users/jan/tmp/cc-backend/internal/graph/schema.resolvers.go","oldString":"\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobMetricWithName{}","newString":"\talgoName := \"\"\n\tif resampleAlgo != nil {\n\t\talgoName = strings.ToLower(resampleAlgo.String())\n\t}\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution, algoName)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobMetricWithName{}","originalFile":"package graph\n\n// This file will be automatically regenerated based on the schema, any resolver\n// implementations\n// will be copied through when generating and any unknown code will be moved to the end.\n// Code generated by github.com/99designs/gqlgen version v0.17.88\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"math\"\n\t\"regexp\"\n\t\"slices\"\n\t\"strconv\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tccunit \"github.com/ClusterCockpit/cc-lib/v2/ccUnits\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Partitions is the resolver for the partitions field.\nfunc (r *clusterResolver) Partitions(ctx context.Context, obj *schema.Cluster) ([]string, error) {\n\treturn r.Repo.Partitions(obj.Name)\n}\n\n// StartTime is the resolver for the startTime field.\nfunc (r *jobResolver) StartTime(ctx context.Context, obj *schema.Job) (*time.Time, error) {\n\ttimestamp := time.Unix(obj.StartTime, 0)\n\treturn &timestamp, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *jobResolver) Tags(ctx context.Context, obj *schema.Job) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), obj.ID)\n}\n\n// ConcurrentJobs is the resolver for the concurrentJobs field.\nfunc (r *jobResolver) ConcurrentJobs(ctx context.Context, obj *schema.Job) (*model.JobLinkResultList, error) {\n\t// FIXME: Make the hardcoded duration configurable\n\tif obj.Shared != \"none\" && obj.Duration > 600 {\n\t\treturn r.Repo.FindConcurrentJobs(ctx, obj)\n\t}\n\n\treturn nil, nil\n}\n\n// Footprint is the resolver for the footprint field.\nfunc (r *jobResolver) Footprint(ctx context.Context, obj *schema.Job) ([]*model.FootprintValue, error) {\n\trawFootprint, err := r.Repo.FetchFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.FootprintValue{}\n\tfor name, value := range rawFootprint {\n\n\t\tparts := strings.Split(name, \"_\")\n\t\tstatPart := parts[len(parts)-1]\n\t\tnameParts := parts[:len(parts)-1]\n\n\t\tres = append(res, &model.FootprintValue{\n\t\t\tName:  strings.Join(nameParts, \"_\"),\n\t\t\tStat:  statPart,\n\t\t\tValue: value,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// EnergyFootprint is the resolver for the energyFootprint field.\nfunc (r *jobResolver) EnergyFootprint(ctx context.Context, obj *schema.Job) ([]*model.EnergyFootprintValue, error) {\n\trawEnergyFootprint, err := r.Repo.FetchEnergyFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job energy footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.EnergyFootprintValue{}\n\tfor name, value := range rawEnergyFootprint {\n\t\t// Suboptimal: Nearly hardcoded metric name expectations\n\t\tmatchCPU := regexp.MustCompile(`cpu|Cpu|CPU`)\n\t\tmatchAcc := regexp.MustCompile(`acc|Acc|ACC`)\n\t\tmatchMem := regexp.MustCompile(`mem|Mem|MEM`)\n\t\tmatchCore := regexp.MustCompile(`core|Core|CORE`)\n\n\t\thwType := \"\"\n\t\tswitch test := name; { // NOtice ';' for var declaration\n\t\tcase matchCPU.MatchString(test):\n\t\t\thwType = \"CPU\"\n\t\tcase matchAcc.MatchString(test):\n\t\t\thwType = \"Accelerator\"\n\t\tcase matchMem.MatchString(test):\n\t\t\thwType = \"Memory\"\n\t\tcase matchCore.MatchString(test):\n\t\t\thwType = \"Core\"\n\t\tdefault:\n\t\t\thwType = \"Other\"\n\t\t}\n\n\t\tres = append(res, &model.EnergyFootprintValue{\n\t\t\tHardware: hwType,\n\t\t\tMetric:   name,\n\t\t\tValue:    value,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *jobResolver) MetaData(ctx context.Context, obj *schema.Job) (any, error) {\n\treturn r.Repo.FetchMetadata(obj)\n}\n\n// UserData is the resolver for the userData field.\nfunc (r *jobResolver) UserData(ctx context.Context, obj *schema.Job) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, obj.User)\n}\n\n// Name is the resolver for the name field.\nfunc (r *metricValueResolver) Name(ctx context.Context, obj *schema.MetricValue) (*string, error) {\n\tpanic(fmt.Errorf(\"not implemented: Name - name\"))\n}\n\n// CreateTag is the resolver for the createTag field.\nfunc (r *mutationResolver) CreateTag(ctx context.Context, typeArg string, name string, scope string) (*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\tif user.HasRole(schema.RoleAdmin) && scope == \"admin\" ||\n\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && scope == \"global\" ||\n\t\tuser.Username == scope {\n\t\t// Create in DB\n\t\tid, err := r.Repo.CreateTag(typeArg, name, scope)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while creating tag\")\n\t\t\treturn nil, err\n\t\t}\n\t\treturn &schema.Tag{ID: id, Type: typeArg, Name: name, Scope: scope}, nil\n\t} else {\n\t\tcclog.Warnf(\"Not authorized to create tag with scope: %s\", scope)\n\t\treturn nil, fmt.Errorf(\"not authorized to create tag with scope: %s\", scope)\n\t}\n}\n\n// DeleteTag is the resolver for the deleteTag field.\nfunc (r *mutationResolver) DeleteTag(ctx context.Context, id string) (string, error) {\n\t// This Uses ID string <-> ID string, removeTagFromList uses []string <-> []int\n\tpanic(fmt.Errorf(\"not implemented: DeleteTag - deleteTag\"))\n}\n\n// AddTagsToJob is the resolver for the addTagsToJob field.\nfunc (r *mutationResolver) AddTagsToJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while adding tag to job\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Add to Job\n\t\t\tif tags, err = r.Repo.AddTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while adding tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to add tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to add tag: %d\", tid)\n\t\t}\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagsFromJob is the resolver for the removeTagsFromJob field.\nfunc (r *mutationResolver) RemoveTagsFromJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Remove from Job\n\t\t\tif tags, err = r.Repo.RemoveTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagFromList is the resolver for the removeTagFromList field.\nfunc (r *mutationResolver) RemoveTagFromList(ctx context.Context, tagIds []string) ([]int, error) {\n\t// Needs Contextuser\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\ttags := []int{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id for removal\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && (tscope == \"global\" || tscope == \"admin\") || user.Username == tscope {\n\t\t\t// Remove from DB\n\t\t\tif err = r.Repo.RemoveTagByID(tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t} else {\n\t\t\t\ttags = append(tags, int(tid))\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\t}\n\treturn tags, nil\n}\n\n// UpdateConfiguration is the resolver for the updateConfiguration field.\nfunc (r *mutationResolver) UpdateConfiguration(ctx context.Context, name string, value string) (*string, error) {\n\tif err := repository.GetUserCfgRepo().UpdateConfig(name, value, repository.GetUserFromContext(ctx)); err != nil {\n\t\tcclog.Warn(\"Error while updating user config\")\n\t\treturn nil, err\n\t}\n\n\treturn nil, nil\n}\n\n// ID is the resolver for the id field.\nfunc (r *nodeResolver) ID(ctx context.Context, obj *schema.Node) (string, error) {\n\tpanic(fmt.Errorf(\"not implemented: ID - id\"))\n}\n\n// SchedulerState is the resolver for the schedulerState field.\nfunc (r *nodeResolver) SchedulerState(ctx context.Context, obj *schema.Node) (schema.SchedulerState, error) {\n\tif obj.NodeState != \"\" {\n\t\treturn obj.NodeState, nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no SchedulerState (NodeState) on node object\")\n\t}\n}\n\n// HealthState is the resolver for the healthState field.\nfunc (r *nodeResolver) HealthState(ctx context.Context, obj *schema.Node) (string, error) {\n\tif obj.HealthState != \"\" {\n\t\treturn string(obj.HealthState), nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no HealthState (NodeState) on node object\")\n\t}\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *nodeResolver) MetaData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.MetaData != nil {\n\t\treturn obj.MetaData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no MetaData (NodeState) on node object\")\n\t\temptyMeta := make(map[string]string, 0)\n\t\treturn emptyMeta, nil\n\t}\n}\n\n// HealthData is the resolver for the healthData field.\nfunc (r *nodeResolver) HealthData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.HealthData != nil {\n\t\treturn obj.HealthData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no HealthData (NodeState) on node object\")\n\t\temptyHealth := make(map[string][]string, 0)\n\t\treturn emptyHealth, nil\n\t}\n}\n\n// Clusters is the resolver for the clusters field.\nfunc (r *queryResolver) Clusters(ctx context.Context) ([]*schema.Cluster, error) {\n\treturn archive.Clusters, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *queryResolver) Tags(ctx context.Context) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), nil)\n}\n\n// GlobalMetrics is the resolver for the globalMetrics field.\nfunc (r *queryResolver) GlobalMetrics(ctx context.Context) ([]*schema.GlobalMetricListItem, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\n\tif user != nil {\n\t\tif user.HasRole(schema.RoleUser) || user.HasRole(schema.RoleManager) {\n\t\t\treturn archive.GlobalUserMetricList, nil\n\t\t}\n\t}\n\n\treturn archive.GlobalMetricList, nil\n}\n\n// User is the resolver for the user field.\nfunc (r *queryResolver) User(ctx context.Context, username string) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, username)\n}\n\n// AllocatedNodes is the resolver for the allocatedNodes field.\nfunc (r *queryResolver) AllocatedNodes(ctx context.Context, cluster string) ([]*model.Count, error) {\n\tdata, err := r.Repo.AllocatedNodes(cluster)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching allocated nodes\")\n\t\treturn nil, err\n\t}\n\n\tcounts := make([]*model.Count, 0, len(data))\n\tfor subcluster, hosts := range data {\n\t\tcounts = append(counts, &model.Count{\n\t\t\tName:  subcluster,\n\t\t\tCount: len(hosts),\n\t\t})\n\t}\n\n\treturn counts, nil\n}\n\n// Node is the resolver for the node field.\nfunc (r *queryResolver) Node(ctx context.Context, id string) (*schema.Node, error) {\n\trepo := repository.GetNodeRepository()\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\treturn repo.GetNodeByID(numericID, false)\n}\n\n// Nodes is the resolver for the nodes field.\nfunc (r *queryResolver) Nodes(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodes(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodesWithMeta is the resolver for the nodesWithMeta field.\nfunc (r *queryResolver) NodesWithMeta(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\t// Why Extra Handler? -> graphql.CollectAllFields(ctx) only returns toplevel fields (i.e.: items, count), and not subfields like item.metaData\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodesWithMeta(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodeStates is the resolver for the nodeStates field.\nfunc (r *queryResolver) NodeStates(ctx context.Context, filter []*model.NodeFilter) ([]*model.NodeStates, error) {\n\trepo := repository.GetNodeRepository()\n\n\tstateCounts, serr := repo.CountStates(ctx, filter, \"node_state\")\n\tif serr != nil {\n\t\tcclog.Warnf(\"Error while counting nodeStates: %s\", serr.Error())\n\t\treturn nil, serr\n\t}\n\n\thealthCounts, herr := repo.CountStates(ctx, filter, \"health_state\")\n\tif herr != nil {\n\t\tcclog.Warnf(\"Error while counting healthStates: %s\", herr.Error())\n\t\treturn nil, herr\n\t}\n\n\tallCounts := append(stateCounts, healthCounts...)\n\n\treturn allCounts, nil\n}\n\n// NodeStatesTimed is the resolver for the nodeStatesTimed field.\nfunc (r *queryResolver) NodeStatesTimed(ctx context.Context, filter []*model.NodeFilter, typeArg string) ([]*model.NodeStatesTimed, error) {\n\trepo := repository.GetNodeRepository()\n\n\tif typeArg == \"node\" {\n\t\tstateCounts, serr := repo.CountStatesTimed(ctx, filter, \"node_state\")\n\t\tif serr != nil {\n\t\t\tcclog.Warnf(\"Error while counting nodeStates in time: %s\", serr.Error())\n\t\t\treturn nil, serr\n\t\t}\n\t\treturn stateCounts, nil\n\t}\n\n\tif typeArg == \"health\" {\n\t\thealthCounts, herr := repo.CountStatesTimed(ctx, filter, \"health_state\")\n\t\tif herr != nil {\n\t\t\tcclog.Warnf(\"Error while counting healthStates in time: %s\", herr.Error())\n\t\t\treturn nil, herr\n\t\t}\n\t\treturn healthCounts, nil\n\t}\n\n\treturn nil, errors.New(\"unknown Node State Query Type\")\n}\n\n// Job is the resolver for the job field.\nfunc (r *queryResolver) Job(ctx context.Context, id string) (*schema.Job, error) {\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\tjob, err := r.Repo.FindByID(ctx, numericID)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while finding job by id\")\n\t\treturn nil, err\n\t}\n\n\tif user := repository.GetUserFromContext(ctx); user != nil &&\n\t\tjob.User != user.Username &&\n\t\tuser.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"you are not allowed to see this job\")\n\t}\n\n\treturn job, nil\n}\n\n// JobMetrics is the resolver for the jobMetrics field.\nfunc (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int, resampleAlgo *model.ResampleAlgo) ([]*model.JobMetricWithName, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying job for metrics\")\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobMetricWithName{}\n\tfor name, md := range data {\n\t\tfor scope, metric := range md {\n\t\t\tres = append(res, &model.JobMetricWithName{\n\t\t\t\tName:   name,\n\t\t\t\tScope:  scope,\n\t\t\t\tMetric: metric,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, err\n}\n\n// JobStats is the resolver for the jobStats field.\nfunc (r *queryResolver) JobStats(ctx context.Context, id string, metrics []string) ([]*model.NamedStats, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading jobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := []*model.NamedStats{}\n\tfor name, md := range data {\n\t\tres = append(res, &model.NamedStats{\n\t\t\tName: name,\n\t\t\tData: &md,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// ScopedJobStats is the resolver for the scopedJobStats field.\nfunc (r *queryResolver) ScopedJobStats(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope) ([]*model.NamedStatsWithScope, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadScopedJobStats(job, metrics, scopes, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading scopedJobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := make([]*model.NamedStatsWithScope, 0)\n\tfor name, scoped := range data {\n\t\tfor scope, stats := range scoped {\n\n\t\t\tmdlStats := make([]*model.ScopedStats, 0)\n\t\t\tfor _, stat := range stats {\n\t\t\t\tmdlStats = append(mdlStats, &model.ScopedStats{\n\t\t\t\t\tHostname: stat.Hostname,\n\t\t\t\t\tID:       stat.ID,\n\t\t\t\t\tData:     stat.Data,\n\t\t\t\t})\n\t\t\t}\n\n\t\t\tres = append(res, &model.NamedStatsWithScope{\n\t\t\t\tName:  name,\n\t\t\t\tScope: scope,\n\t\t\t\tStats: mdlStats,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, nil\n}\n\n// Jobs is the resolver for the jobs field.\nfunc (r *queryResolver) Jobs(ctx context.Context, filter []*model.JobFilter, page *model.PageRequest, order *model.OrderByInput) (*model.JobResultList, error) {\n\tif page == nil {\n\t\tpage = &model.PageRequest{\n\t\t\tItemsPerPage: 50,\n\t\t\tPage:         1,\n\t\t}\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, page, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs\")\n\t\treturn nil, err\n\t}\n\n\tcount, err := r.Repo.CountJobs(ctx, filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while counting jobs\")\n\t\treturn nil, err\n\t}\n\n\t// Note: Even if App-Default 'config.Keys.UiDefaults[\"job_list_usePaging\"]' is set, always return hasNextPage boolean.\n\t// Users can decide in frontend to use continuous scroll, even if app-default is paging!\n\t// Skip if page.ItemsPerPage == -1 (\"Load All\" -> No Next Page required, Status Dashboards)\n\t/*\n\t  Example Page 4 @ 10 IpP : Does item 41 exist?\n\t  Minimal Page 41 @ 1 IpP : If len(result) is 1, Page 5 @ 10 IpP exists.\n\t*/\n\thasNextPage := false\n\tif page.ItemsPerPage != -1 {\n\t\tnextPage := &model.PageRequest{\n\t\t\tItemsPerPage: 1,\n\t\t\tPage:         ((page.Page * page.ItemsPerPage) + 1),\n\t\t}\n\t\tnextJobs, err := r.Repo.QueryJobs(ctx, filter, nextPage, order)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while querying next jobs\")\n\t\t\treturn nil, err\n\t\t}\n\t\thasNextPage = len(nextJobs) == 1\n\t}\n\n\treturn &model.JobResultList{Items: jobs, Count: &count, HasNextPage: &hasNextPage}, nil\n}\n\n// JobsStatistics is the resolver for the jobsStatistics field.\nfunc (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobFilter, metrics []string, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, numDurationBins *string, numMetricBins *int) ([]*model.JobsStatistics, error) {\n\tvar err error\n\tvar stats []*model.JobsStatistics\n\n\t// Top Level Defaults\n\tdefaultDurationBins := \"1h\"\n\tdefaultMetricBins := 10\n\n\t// Build requested fields map for selective column computation\n\tstatsFields := []string{\n\t\t\"totalJobs\", \"totalUsers\", \"totalWalltime\", \"totalNodes\", \"totalCores\",\n\t\t\"totalAccs\", \"totalNodeHours\", \"totalCoreHours\", \"totalAccHours\", \"runningJobs\", \"shortJobs\",\n\t}\n\treqFields := make(map[string]bool, len(statsFields))\n\tfetchedMainStats := false\n\tfor _, f := range statsFields {\n\t\tif requireField(ctx, f) {\n\t\t\treqFields[f] = true\n\t\t\tif f != \"runningJobs\" && f != \"shortJobs\" {\n\t\t\t\tfetchedMainStats = true\n\t\t\t}\n\t\t}\n\t}\n\n\tif fetchedMainStats {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n\t\t} else {\n\t\t\tstartGrouped := time.Now()\n\t\t\t// Use request-scoped cache: multiple aliases with same (filter, groupBy)\n\t\t\t// but different sortBy/page hit the DB only once.\n\t\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n\t\t\t\tkey := statsCacheKey(filter, groupBy, reqFields)\n\t\t\t\tvar allStats []*model.JobsStatistics\n\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)\n\t\t\t\t})\n\t\t\t\tif err == nil {\n\t\t\t\t\tstats = sortAndPageStats(allStats, sortBy, page)\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\t}\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {\n\t\tstats = make([]*model.JobsStatistics, 0, 1)\n\t\tstats = append(stats, &model.JobsStatistics{})\n\t}\n\n\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n\t// Only run separate count queries if main stats were not fetched.\n\tif !fetchedMainStats {\n\t\tif groupBy != nil {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n\t\t\t}\n\t\t} else {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n\t\t\t}\n\t\t}\n\t}\n\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif requireField(ctx, \"histDuration\") || requireField(ctx, \"histNumNodes\") || requireField(ctx, \"histNumCores\") || requireField(ctx, \"histNumAccs\") {\n\n\t\tif numDurationBins == nil {\n\t\t\tnumDurationBins = &defaultDurationBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddHistograms(ctx, filter, stats[0], numDurationBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\tif requireField(ctx, \"histMetrics\") {\n\n\t\tif numMetricBins == nil {\n\t\t\tnumMetricBins = &defaultMetricBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddMetricHistograms(ctx, filter, metrics, stats[0], numMetricBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"metric histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// JobsMetricStats is the resolver for the jobsMetricStats field.\nfunc (r *queryResolver) JobsMetricStats(ctx context.Context, filter []*model.JobFilter, metrics []string) ([]*model.JobStats, error) {\n\t// No Paging, Fixed Order by StartTime ASC\n\torder := &model.OrderByInput{\n\t\tField: \"startTime\",\n\t\tType:  \"col\",\n\t\tOrder: \"ASC\",\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, nil, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs for comparison\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobStats{}\n\tfor _, job := range jobs {\n\t\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading comparison jobStats data for job id %d\", job.JobID)\n\t\t\tcontinue\n\t\t\t// return nil, err\n\t\t}\n\n\t\tsres := []*model.NamedStats{}\n\t\tfor name, md := range data {\n\t\t\tsres = append(sres, &model.NamedStats{\n\t\t\t\tName: name,\n\t\t\t\tData: &md,\n\t\t\t})\n\t\t}\n\n\t\tnumThreadsInt := int(job.NumHWThreads)\n\t\tnumAccsInt := int(job.NumAcc)\n\t\tres = append(res, &model.JobStats{\n\t\t\tID:              int(*job.ID),\n\t\t\tJobID:           strconv.Itoa(int(job.JobID)),\n\t\t\tStartTime:       int(job.StartTime),\n\t\t\tDuration:        int(job.Duration),\n\t\t\tCluster:         job.Cluster,\n\t\t\tSubCluster:      job.SubCluster,\n\t\t\tNumNodes:        int(job.NumNodes),\n\t\t\tNumHWThreads:    &numThreadsInt,\n\t\t\tNumAccelerators: &numAccsInt,\n\t\t\tStats:           sres,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// JobsFootprints is the resolver for the jobsFootprints field.\nfunc (r *queryResolver) JobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n\t// NOTE: Legacy Naming! This resolver is for normalized histograms in analysis view only - *Not* related to DB \"footprint\" column!\n\treturn r.jobsFootprints(ctx, filter, metrics)\n}\n\n// RooflineHeatmap is the resolver for the rooflineHeatmap field.\nfunc (r *queryResolver) RooflineHeatmap(ctx context.Context, filter []*model.JobFilter, rows int, cols int, minX float64, minY float64, maxX float64, maxY float64) ([][]float64, error) {\n\treturn r.rooflineHeatmap(ctx, filter, rows, cols, minX, minY, maxX, maxY)\n}\n\n// NodeMetrics is the resolver for the nodeMetrics field.\nfunc (r *queryResolver) NodeMetrics(ctx context.Context, cluster string, nodes []string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time) ([]*model.NodeMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tdefaultMetrics := make([]string, 0)\n\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\tdefaultMetrics = append(defaultMetrics, mc.Name)\n\t}\n\tif metrics == nil {\n\t\tmetrics = defaultMetrics\n\t} else {\n\t\tmetrics = slices.DeleteFunc(metrics, func(metric string) bool {\n\t\t\treturn !slices.Contains(defaultMetrics, metric) // Remove undefined metrics.\n\t\t})\n\t}\n\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\tnodeStateMap, metricHealthMap, _ := nodeRepo.MapNodes(cluster)\n\n\tnodeMetrics := make([]*model.NodeMetrics, 0, len(data))\n\tfor hostname, metrics := range data {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost:         hostname,\n\t\t\tNodeState:    nodeStateMap[hostname],\n\t\t\tMetricHealth: metricHealthMap[hostname],\n\t\t\tMetrics:      make([]*model.JobMetricWithName, 0, len(metrics)*len(scopes)),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName:   metric,\n\t\t\t\t\tScope:  schema.MetricScopeNode,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetrics = append(nodeMetrics, host)\n\t}\n\n\treturn nodeMetrics, nil\n}\n\n// NodeMetricsList is the resolver for the nodeMetricsList field.\nfunc (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int, resampleAlgo *model.ResampleAlgo) (*model.NodesResultList, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\t// nodes -> array hostname\n\tnodes, nodeStateMap, metricHealthMap, countNodes, hasNextPage, nerr := nodeRepo.GetNodesForList(ctx, cluster, subCluster, stateFilter, nodeFilter, page)\n\tif nerr != nil {\n\t\treturn nil, errors.New(\"could not retrieve node list required for resolving NodeMetricsList\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\t// data -> map hostname:jobdata\n\tdata, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data (Resolver.NodeMetricsList\")\n\t\treturn nil, err\n\t}\n\n\tnodeMetricsList := make([]*model.NodeMetrics, 0, len(data))\n\tfor _, hostname := range nodes {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost:         hostname,\n\t\t\tNodeState:    nodeStateMap[hostname],\n\t\t\tMetricHealth: metricHealthMap[hostname],\n\t\t\tMetrics:      make([]*model.JobMetricWithName, 0),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range data[hostname] {\n\t\t\tfor scope, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName:   metric,\n\t\t\t\t\tScope:  scope,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetricsList = append(nodeMetricsList, host)\n\t}\n\n\tnodeMetricsListResult := &model.NodesResultList{\n\t\tItems: nodeMetricsList,\n\t\t// TotalNodes depends on sum of nodes grouped on latest timestamp, see repo/node.go:357\n\t\tTotalNodes:  &countNodes,\n\t\tHasNextPage: &hasNextPage,\n\t}\n\n\treturn nodeMetricsListResult, nil\n}\n\n// ClusterMetrics is the resolver for the clusterMetrics field.\nfunc (r *queryResolver) ClusterMetrics(ctx context.Context, cluster string, metrics []string, from time.Time, to time.Time) (*model.ClusterMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\t// 'nodes' == nil -> Defaults to all nodes of cluster for existing query workflow\n\tscopes := []schema.MetricScope{\"node\"}\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nil, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tclusterMetricData := make([]*model.ClusterMetricWithName, 0)\n\tclusterMetrics := model.ClusterMetrics{NodeCount: 0, Metrics: clusterMetricData}\n\n\tcollectorTimestep := make(map[string]int)\n\tcollectorUnit := make(map[string]schema.Unit)\n\tcollectorData := make(map[string][]schema.Float)\n\n\tfor _, metrics := range data {\n\t\tclusterMetrics.NodeCount += 1\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\t// Collect Info Once\n\t\t\t\t_, okTimestep := collectorTimestep[metric]\n\t\t\t\tif !okTimestep {\n\t\t\t\t\tcollectorTimestep[metric] = scopedMetric.Timestep\n\t\t\t\t}\n\t\t\t\t_, okUnit := collectorUnit[metric]\n\t\t\t\tif !okUnit {\n\t\t\t\t\tcollectorUnit[metric] = scopedMetric.Unit\n\t\t\t\t}\n\t\t\t\t// Collect Data\n\t\t\t\tfor _, ser := range scopedMetric.Series {\n\t\t\t\t\t_, okData := collectorData[metric]\n\t\t\t\t\t// Init With Datasize > 0\n\t\t\t\t\tif !okData && len(ser.Data) != 0 {\n\t\t\t\t\t\tcollectorData[metric] = make([]schema.Float, len(ser.Data))\n\t\t\t\t\t} else if !okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip init: no data -> %s at %s; size %d\", metric, ser.Hostname, len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t\t// Sum if init'd and matching size\n\t\t\t\t\tif okData && len(ser.Data) == len(collectorData[metric]) {\n\t\t\t\t\t\tfor i, val := range ser.Data {\n\t\t\t\t\t\t\tif val.IsNaN() {\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tcollectorData[metric][i] += val\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else if okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip sum: data diff -> %s at %s; want size %d, have size %d\", metric, ser.Hostname, len(collectorData[metric]), len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tfor metricName, data := range collectorData {\n\t\t// use ccUnits for backend normalization to \"Tera\"\n\t\tp_old := ccunit.NewPrefix(collectorUnit[metricName].Prefix)\n\t\tp_new := ccunit.NewPrefix(\"T\")\n\t\tconvFunc := ccunit.GetPrefixPrefixFactor(p_old, p_new)\n\t\tu_new := schema.Unit{Prefix: p_new.Prefix(), Base: collectorUnit[metricName].Base}\n\n\t\troundedData := make([]schema.Float, 0)\n\t\tfor _, v_old := range data {\n\t\t\tv_new := math.Round(convFunc(float64(v_old)).(float64)*100.0) / 100.0\n\t\t\troundedData = append(roundedData, schema.Float(v_new))\n\t\t}\n\n\t\tcm := model.ClusterMetricWithName{\n\t\t\tName:     metricName,\n\t\t\tUnit:     &u_new,\n\t\t\tTimestep: collectorTimestep[metricName],\n\t\t\tData:     roundedData,\n\t\t}\n\n\t\tclusterMetrics.Metrics = append(clusterMetrics.Metrics, &cm)\n\t}\n\n\treturn &clusterMetrics, nil\n}\n\n// NumberOfNodes is the resolver for the numberOfNodes field.\nfunc (r *subClusterResolver) NumberOfNodes(ctx context.Context, obj *schema.SubCluster) (int, error) {\n\tnodeList, err := archive.ParseNodeList(obj.Nodes)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn nodeList.NodeCount(), nil\n}\n\n// Cluster returns generated.ClusterResolver implementation.\nfunc (r *Resolver) Cluster() generated.ClusterResolver { return &clusterResolver{r} }\n\n// Job returns generated.JobResolver implementation.\nfunc (r *Resolver) Job() generated.JobResolver { return &jobResolver{r} }\n\n// MetricValue returns generated.MetricValueResolver implementation.\nfunc (r *Resolver) MetricValue() generated.MetricValueResolver { return &metricValueResolver{r} }\n\n// Mutation returns generated.MutationResolver implementation.\nfunc (r *Resolver) Mutation() generated.MutationResolver { return &mutationResolver{r} }\n\n// Node returns generated.NodeResolver implementation.\nfunc (r *Resolver) Node() generated.NodeResolver { return &nodeResolver{r} }\n\n// Query returns generated.QueryResolver implementation.\nfunc (r *Resolver) Query() generated.QueryResolver { return &queryResolver{r} }\n\n// SubCluster returns generated.SubClusterResolver implementation.\nfunc (r *Resolver) SubCluster() generated.SubClusterResolver { return &subClusterResolver{r} }\n\ntype clusterResolver struct{ *Resolver }\ntype jobResolver struct{ *Resolver }\ntype metricValueResolver struct{ *Resolver }\ntype mutationResolver struct{ *Resolver }\ntype nodeResolver struct{ *Resolver }\ntype queryResolver struct{ *Resolver }\ntype subClusterResolver struct{ *Resolver }\n","structuredPatch":[{"oldStart":515,"oldLines":7,"newStart":515,"newLines":12,"lines":["     return nil, err","   }"," ","-  data, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution)","+  algoName := \"\"","+  if resampleAlgo != nil {","+    algoName = strings.ToLower(resampleAlgo.String())","+  }","+","+  data, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution, algoName)","   if err != nil {","     cclog.Warn(\"Error while loading job data\")","     return nil, err"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"c84bd7d5-2ecb-4bed-9b4f-bd62686d4716","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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+{"parentUuid":"7799d214-fcfd-4cfa-b2f7-982b2be6f7f9","isSidechain":false,"promptId":"1c46e1b2-ade5-44be-90d9-e93109c02833","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019PCJNmDZPGTzEa9Tb9SRZy","type":"tool_result","content":"The file /Users/jan/tmp/cc-backend/internal/graph/schema.resolvers.go has been updated successfully."}]},"uuid":"e3f8c9de-33d9-4dc7-bca0-954692aa531d","timestamp":"2026-03-19T19:50:07.832Z","toolUseResult":{"filePath":"/Users/jan/tmp/cc-backend/internal/graph/schema.resolvers.go","oldString":"\t// data -> map hostname:jobdata\n\tdata, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data (Resolver.NodeMetricsList\")\n\t\treturn nil, err\n\t}","newString":"\talgoName := \"\"\n\tif resampleAlgo != nil {\n\t\talgoName = strings.ToLower(resampleAlgo.String())\n\t}\n\n\t// data -> map hostname:jobdata\n\tdata, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx, algoName)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data (Resolver.NodeMetricsList\")\n\t\treturn nil, err\n\t}","originalFile":"package graph\n\n// This file will be automatically regenerated based on the schema, any resolver\n// implementations\n// will be copied through when generating and any unknown code will be moved to the end.\n// Code generated by github.com/99designs/gqlgen version v0.17.88\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"math\"\n\t\"regexp\"\n\t\"slices\"\n\t\"strconv\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tccunit \"github.com/ClusterCockpit/cc-lib/v2/ccUnits\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Partitions is the resolver for the partitions field.\nfunc (r *clusterResolver) Partitions(ctx context.Context, obj *schema.Cluster) ([]string, error) {\n\treturn r.Repo.Partitions(obj.Name)\n}\n\n// StartTime is the resolver for the startTime field.\nfunc (r *jobResolver) StartTime(ctx context.Context, obj *schema.Job) (*time.Time, error) {\n\ttimestamp := time.Unix(obj.StartTime, 0)\n\treturn &timestamp, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *jobResolver) Tags(ctx context.Context, obj *schema.Job) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), obj.ID)\n}\n\n// ConcurrentJobs is the resolver for the concurrentJobs field.\nfunc (r *jobResolver) ConcurrentJobs(ctx context.Context, obj *schema.Job) (*model.JobLinkResultList, error) {\n\t// FIXME: Make the hardcoded duration configurable\n\tif obj.Shared != \"none\" && obj.Duration > 600 {\n\t\treturn r.Repo.FindConcurrentJobs(ctx, obj)\n\t}\n\n\treturn nil, nil\n}\n\n// Footprint is the resolver for the footprint field.\nfunc (r *jobResolver) Footprint(ctx context.Context, obj *schema.Job) ([]*model.FootprintValue, error) {\n\trawFootprint, err := r.Repo.FetchFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.FootprintValue{}\n\tfor name, value := range rawFootprint {\n\n\t\tparts := strings.Split(name, \"_\")\n\t\tstatPart := parts[len(parts)-1]\n\t\tnameParts := parts[:len(parts)-1]\n\n\t\tres = append(res, &model.FootprintValue{\n\t\t\tName:  strings.Join(nameParts, \"_\"),\n\t\t\tStat:  statPart,\n\t\t\tValue: value,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// EnergyFootprint is the resolver for the energyFootprint field.\nfunc (r *jobResolver) EnergyFootprint(ctx context.Context, obj *schema.Job) ([]*model.EnergyFootprintValue, error) {\n\trawEnergyFootprint, err := r.Repo.FetchEnergyFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job energy footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.EnergyFootprintValue{}\n\tfor name, value := range rawEnergyFootprint {\n\t\t// Suboptimal: Nearly hardcoded metric name expectations\n\t\tmatchCPU := regexp.MustCompile(`cpu|Cpu|CPU`)\n\t\tmatchAcc := regexp.MustCompile(`acc|Acc|ACC`)\n\t\tmatchMem := regexp.MustCompile(`mem|Mem|MEM`)\n\t\tmatchCore := regexp.MustCompile(`core|Core|CORE`)\n\n\t\thwType := \"\"\n\t\tswitch test := name; { // NOtice ';' for var declaration\n\t\tcase matchCPU.MatchString(test):\n\t\t\thwType = \"CPU\"\n\t\tcase matchAcc.MatchString(test):\n\t\t\thwType = \"Accelerator\"\n\t\tcase matchMem.MatchString(test):\n\t\t\thwType = \"Memory\"\n\t\tcase matchCore.MatchString(test):\n\t\t\thwType = \"Core\"\n\t\tdefault:\n\t\t\thwType = \"Other\"\n\t\t}\n\n\t\tres = append(res, &model.EnergyFootprintValue{\n\t\t\tHardware: hwType,\n\t\t\tMetric:   name,\n\t\t\tValue:    value,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *jobResolver) MetaData(ctx context.Context, obj *schema.Job) (any, error) {\n\treturn r.Repo.FetchMetadata(obj)\n}\n\n// UserData is the resolver for the userData field.\nfunc (r *jobResolver) UserData(ctx context.Context, obj *schema.Job) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, obj.User)\n}\n\n// Name is the resolver for the name field.\nfunc (r *metricValueResolver) Name(ctx context.Context, obj *schema.MetricValue) (*string, error) {\n\tpanic(fmt.Errorf(\"not implemented: Name - name\"))\n}\n\n// CreateTag is the resolver for the createTag field.\nfunc (r *mutationResolver) CreateTag(ctx context.Context, typeArg string, name string, scope string) (*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\tif user.HasRole(schema.RoleAdmin) && scope == \"admin\" ||\n\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && scope == \"global\" ||\n\t\tuser.Username == scope {\n\t\t// Create in DB\n\t\tid, err := r.Repo.CreateTag(typeArg, name, scope)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while creating tag\")\n\t\t\treturn nil, err\n\t\t}\n\t\treturn &schema.Tag{ID: id, Type: typeArg, Name: name, Scope: scope}, nil\n\t} else {\n\t\tcclog.Warnf(\"Not authorized to create tag with scope: %s\", scope)\n\t\treturn nil, fmt.Errorf(\"not authorized to create tag with scope: %s\", scope)\n\t}\n}\n\n// DeleteTag is the resolver for the deleteTag field.\nfunc (r *mutationResolver) DeleteTag(ctx context.Context, id string) (string, error) {\n\t// This Uses ID string <-> ID string, removeTagFromList uses []string <-> []int\n\tpanic(fmt.Errorf(\"not implemented: DeleteTag - deleteTag\"))\n}\n\n// AddTagsToJob is the resolver for the addTagsToJob field.\nfunc (r *mutationResolver) AddTagsToJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while adding tag to job\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Add to Job\n\t\t\tif tags, err = r.Repo.AddTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while adding tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to add tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to add tag: %d\", tid)\n\t\t}\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagsFromJob is the resolver for the removeTagsFromJob field.\nfunc (r *mutationResolver) RemoveTagsFromJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Remove from Job\n\t\t\tif tags, err = r.Repo.RemoveTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagFromList is the resolver for the removeTagFromList field.\nfunc (r *mutationResolver) RemoveTagFromList(ctx context.Context, tagIds []string) ([]int, error) {\n\t// Needs Contextuser\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\ttags := []int{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id for removal\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && (tscope == \"global\" || tscope == \"admin\") || user.Username == tscope {\n\t\t\t// Remove from DB\n\t\t\tif err = r.Repo.RemoveTagByID(tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t} else {\n\t\t\t\ttags = append(tags, int(tid))\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\t}\n\treturn tags, nil\n}\n\n// UpdateConfiguration is the resolver for the updateConfiguration field.\nfunc (r *mutationResolver) UpdateConfiguration(ctx context.Context, name string, value string) (*string, error) {\n\tif err := repository.GetUserCfgRepo().UpdateConfig(name, value, repository.GetUserFromContext(ctx)); err != nil {\n\t\tcclog.Warn(\"Error while updating user config\")\n\t\treturn nil, err\n\t}\n\n\treturn nil, nil\n}\n\n// ID is the resolver for the id field.\nfunc (r *nodeResolver) ID(ctx context.Context, obj *schema.Node) (string, error) {\n\tpanic(fmt.Errorf(\"not implemented: ID - id\"))\n}\n\n// SchedulerState is the resolver for the schedulerState field.\nfunc (r *nodeResolver) SchedulerState(ctx context.Context, obj *schema.Node) (schema.SchedulerState, error) {\n\tif obj.NodeState != \"\" {\n\t\treturn obj.NodeState, nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no SchedulerState (NodeState) on node object\")\n\t}\n}\n\n// HealthState is the resolver for the healthState field.\nfunc (r *nodeResolver) HealthState(ctx context.Context, obj *schema.Node) (string, error) {\n\tif obj.HealthState != \"\" {\n\t\treturn string(obj.HealthState), nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no HealthState (NodeState) on node object\")\n\t}\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *nodeResolver) MetaData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.MetaData != nil {\n\t\treturn obj.MetaData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no MetaData (NodeState) on node object\")\n\t\temptyMeta := make(map[string]string, 0)\n\t\treturn emptyMeta, nil\n\t}\n}\n\n// HealthData is the resolver for the healthData field.\nfunc (r *nodeResolver) HealthData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.HealthData != nil {\n\t\treturn obj.HealthData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no HealthData (NodeState) on node object\")\n\t\temptyHealth := make(map[string][]string, 0)\n\t\treturn emptyHealth, nil\n\t}\n}\n\n// Clusters is the resolver for the clusters field.\nfunc (r *queryResolver) Clusters(ctx context.Context) ([]*schema.Cluster, error) {\n\treturn archive.Clusters, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *queryResolver) Tags(ctx context.Context) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), nil)\n}\n\n// GlobalMetrics is the resolver for the globalMetrics field.\nfunc (r *queryResolver) GlobalMetrics(ctx context.Context) ([]*schema.GlobalMetricListItem, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\n\tif user != nil {\n\t\tif user.HasRole(schema.RoleUser) || user.HasRole(schema.RoleManager) {\n\t\t\treturn archive.GlobalUserMetricList, nil\n\t\t}\n\t}\n\n\treturn archive.GlobalMetricList, nil\n}\n\n// User is the resolver for the user field.\nfunc (r *queryResolver) User(ctx context.Context, username string) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, username)\n}\n\n// AllocatedNodes is the resolver for the allocatedNodes field.\nfunc (r *queryResolver) AllocatedNodes(ctx context.Context, cluster string) ([]*model.Count, error) {\n\tdata, err := r.Repo.AllocatedNodes(cluster)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching allocated nodes\")\n\t\treturn nil, err\n\t}\n\n\tcounts := make([]*model.Count, 0, len(data))\n\tfor subcluster, hosts := range data {\n\t\tcounts = append(counts, &model.Count{\n\t\t\tName:  subcluster,\n\t\t\tCount: len(hosts),\n\t\t})\n\t}\n\n\treturn counts, nil\n}\n\n// Node is the resolver for the node field.\nfunc (r *queryResolver) Node(ctx context.Context, id string) (*schema.Node, error) {\n\trepo := repository.GetNodeRepository()\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\treturn repo.GetNodeByID(numericID, false)\n}\n\n// Nodes is the resolver for the nodes field.\nfunc (r *queryResolver) Nodes(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodes(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodesWithMeta is the resolver for the nodesWithMeta field.\nfunc (r *queryResolver) NodesWithMeta(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\t// Why Extra Handler? -> graphql.CollectAllFields(ctx) only returns toplevel fields (i.e.: items, count), and not subfields like item.metaData\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodesWithMeta(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodeStates is the resolver for the nodeStates field.\nfunc (r *queryResolver) NodeStates(ctx context.Context, filter []*model.NodeFilter) ([]*model.NodeStates, error) {\n\trepo := repository.GetNodeRepository()\n\n\tstateCounts, serr := repo.CountStates(ctx, filter, \"node_state\")\n\tif serr != nil {\n\t\tcclog.Warnf(\"Error while counting nodeStates: %s\", serr.Error())\n\t\treturn nil, serr\n\t}\n\n\thealthCounts, herr := repo.CountStates(ctx, filter, \"health_state\")\n\tif herr != nil {\n\t\tcclog.Warnf(\"Error while counting healthStates: %s\", herr.Error())\n\t\treturn nil, herr\n\t}\n\n\tallCounts := append(stateCounts, healthCounts...)\n\n\treturn allCounts, nil\n}\n\n// NodeStatesTimed is the resolver for the nodeStatesTimed field.\nfunc (r *queryResolver) NodeStatesTimed(ctx context.Context, filter []*model.NodeFilter, typeArg string) ([]*model.NodeStatesTimed, error) {\n\trepo := repository.GetNodeRepository()\n\n\tif typeArg == \"node\" {\n\t\tstateCounts, serr := repo.CountStatesTimed(ctx, filter, \"node_state\")\n\t\tif serr != nil {\n\t\t\tcclog.Warnf(\"Error while counting nodeStates in time: %s\", serr.Error())\n\t\t\treturn nil, serr\n\t\t}\n\t\treturn stateCounts, nil\n\t}\n\n\tif typeArg == \"health\" {\n\t\thealthCounts, herr := repo.CountStatesTimed(ctx, filter, \"health_state\")\n\t\tif herr != nil {\n\t\t\tcclog.Warnf(\"Error while counting healthStates in time: %s\", herr.Error())\n\t\t\treturn nil, herr\n\t\t}\n\t\treturn healthCounts, nil\n\t}\n\n\treturn nil, errors.New(\"unknown Node State Query Type\")\n}\n\n// Job is the resolver for the job field.\nfunc (r *queryResolver) Job(ctx context.Context, id string) (*schema.Job, error) {\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\tjob, err := r.Repo.FindByID(ctx, numericID)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while finding job by id\")\n\t\treturn nil, err\n\t}\n\n\tif user := repository.GetUserFromContext(ctx); user != nil &&\n\t\tjob.User != user.Username &&\n\t\tuser.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"you are not allowed to see this job\")\n\t}\n\n\treturn job, nil\n}\n\n// JobMetrics is the resolver for the jobMetrics field.\nfunc (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int, resampleAlgo *model.ResampleAlgo) ([]*model.JobMetricWithName, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying job for metrics\")\n\t\treturn nil, err\n\t}\n\n\talgoName := \"\"\n\tif resampleAlgo != nil {\n\t\talgoName = strings.ToLower(resampleAlgo.String())\n\t}\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution, algoName)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobMetricWithName{}\n\tfor name, md := range data {\n\t\tfor scope, metric := range md {\n\t\t\tres = append(res, &model.JobMetricWithName{\n\t\t\t\tName:   name,\n\t\t\t\tScope:  scope,\n\t\t\t\tMetric: metric,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, err\n}\n\n// JobStats is the resolver for the jobStats field.\nfunc (r *queryResolver) JobStats(ctx context.Context, id string, metrics []string) ([]*model.NamedStats, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading jobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := []*model.NamedStats{}\n\tfor name, md := range data {\n\t\tres = append(res, &model.NamedStats{\n\t\t\tName: name,\n\t\t\tData: &md,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// ScopedJobStats is the resolver for the scopedJobStats field.\nfunc (r *queryResolver) ScopedJobStats(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope) ([]*model.NamedStatsWithScope, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadScopedJobStats(job, metrics, scopes, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading scopedJobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := make([]*model.NamedStatsWithScope, 0)\n\tfor name, scoped := range data {\n\t\tfor scope, stats := range scoped {\n\n\t\t\tmdlStats := make([]*model.ScopedStats, 0)\n\t\t\tfor _, stat := range stats {\n\t\t\t\tmdlStats = append(mdlStats, &model.ScopedStats{\n\t\t\t\t\tHostname: stat.Hostname,\n\t\t\t\t\tID:       stat.ID,\n\t\t\t\t\tData:     stat.Data,\n\t\t\t\t})\n\t\t\t}\n\n\t\t\tres = append(res, &model.NamedStatsWithScope{\n\t\t\t\tName:  name,\n\t\t\t\tScope: scope,\n\t\t\t\tStats: mdlStats,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, nil\n}\n\n// Jobs is the resolver for the jobs field.\nfunc (r *queryResolver) Jobs(ctx context.Context, filter []*model.JobFilter, page *model.PageRequest, order *model.OrderByInput) (*model.JobResultList, error) {\n\tif page == nil {\n\t\tpage = &model.PageRequest{\n\t\t\tItemsPerPage: 50,\n\t\t\tPage:         1,\n\t\t}\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, page, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs\")\n\t\treturn nil, err\n\t}\n\n\tcount, err := r.Repo.CountJobs(ctx, filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while counting jobs\")\n\t\treturn nil, err\n\t}\n\n\t// Note: Even if App-Default 'config.Keys.UiDefaults[\"job_list_usePaging\"]' is set, always return hasNextPage boolean.\n\t// Users can decide in frontend to use continuous scroll, even if app-default is paging!\n\t// Skip if page.ItemsPerPage == -1 (\"Load All\" -> No Next Page required, Status Dashboards)\n\t/*\n\t  Example Page 4 @ 10 IpP : Does item 41 exist?\n\t  Minimal Page 41 @ 1 IpP : If len(result) is 1, Page 5 @ 10 IpP exists.\n\t*/\n\thasNextPage := false\n\tif page.ItemsPerPage != -1 {\n\t\tnextPage := &model.PageRequest{\n\t\t\tItemsPerPage: 1,\n\t\t\tPage:         ((page.Page * page.ItemsPerPage) + 1),\n\t\t}\n\t\tnextJobs, err := r.Repo.QueryJobs(ctx, filter, nextPage, order)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while querying next jobs\")\n\t\t\treturn nil, err\n\t\t}\n\t\thasNextPage = len(nextJobs) == 1\n\t}\n\n\treturn &model.JobResultList{Items: jobs, Count: &count, HasNextPage: &hasNextPage}, nil\n}\n\n// JobsStatistics is the resolver for the jobsStatistics field.\nfunc (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobFilter, metrics []string, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, numDurationBins *string, numMetricBins *int) ([]*model.JobsStatistics, error) {\n\tvar err error\n\tvar stats []*model.JobsStatistics\n\n\t// Top Level Defaults\n\tdefaultDurationBins := \"1h\"\n\tdefaultMetricBins := 10\n\n\t// Build requested fields map for selective column computation\n\tstatsFields := []string{\n\t\t\"totalJobs\", \"totalUsers\", \"totalWalltime\", \"totalNodes\", \"totalCores\",\n\t\t\"totalAccs\", \"totalNodeHours\", \"totalCoreHours\", \"totalAccHours\", \"runningJobs\", \"shortJobs\",\n\t}\n\treqFields := make(map[string]bool, len(statsFields))\n\tfetchedMainStats := false\n\tfor _, f := range statsFields {\n\t\tif requireField(ctx, f) {\n\t\t\treqFields[f] = true\n\t\t\tif f != \"runningJobs\" && f != \"shortJobs\" {\n\t\t\t\tfetchedMainStats = true\n\t\t\t}\n\t\t}\n\t}\n\n\tif fetchedMainStats {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n\t\t} else {\n\t\t\tstartGrouped := time.Now()\n\t\t\t// Use request-scoped cache: multiple aliases with same (filter, groupBy)\n\t\t\t// but different sortBy/page hit the DB only once.\n\t\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n\t\t\t\tkey := statsCacheKey(filter, groupBy, reqFields)\n\t\t\t\tvar allStats []*model.JobsStatistics\n\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)\n\t\t\t\t})\n\t\t\t\tif err == nil {\n\t\t\t\t\tstats = sortAndPageStats(allStats, sortBy, page)\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\t}\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {\n\t\tstats = make([]*model.JobsStatistics, 0, 1)\n\t\tstats = append(stats, &model.JobsStatistics{})\n\t}\n\n\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n\t// Only run separate count queries if main stats were not fetched.\n\tif !fetchedMainStats {\n\t\tif groupBy != nil {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n\t\t\t}\n\t\t} else {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n\t\t\t}\n\t\t}\n\t}\n\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif requireField(ctx, \"histDuration\") || requireField(ctx, \"histNumNodes\") || requireField(ctx, \"histNumCores\") || requireField(ctx, \"histNumAccs\") {\n\n\t\tif numDurationBins == nil {\n\t\t\tnumDurationBins = &defaultDurationBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddHistograms(ctx, filter, stats[0], numDurationBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\tif requireField(ctx, \"histMetrics\") {\n\n\t\tif numMetricBins == nil {\n\t\t\tnumMetricBins = &defaultMetricBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddMetricHistograms(ctx, filter, metrics, stats[0], numMetricBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"metric histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// JobsMetricStats is the resolver for the jobsMetricStats field.\nfunc (r *queryResolver) JobsMetricStats(ctx context.Context, filter []*model.JobFilter, metrics []string) ([]*model.JobStats, error) {\n\t// No Paging, Fixed Order by StartTime ASC\n\torder := &model.OrderByInput{\n\t\tField: \"startTime\",\n\t\tType:  \"col\",\n\t\tOrder: \"ASC\",\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, nil, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs for comparison\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobStats{}\n\tfor _, job := range jobs {\n\t\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading comparison jobStats data for job id %d\", job.JobID)\n\t\t\tcontinue\n\t\t\t// return nil, err\n\t\t}\n\n\t\tsres := []*model.NamedStats{}\n\t\tfor name, md := range data {\n\t\t\tsres = append(sres, &model.NamedStats{\n\t\t\t\tName: name,\n\t\t\t\tData: &md,\n\t\t\t})\n\t\t}\n\n\t\tnumThreadsInt := int(job.NumHWThreads)\n\t\tnumAccsInt := int(job.NumAcc)\n\t\tres = append(res, &model.JobStats{\n\t\t\tID:              int(*job.ID),\n\t\t\tJobID:           strconv.Itoa(int(job.JobID)),\n\t\t\tStartTime:       int(job.StartTime),\n\t\t\tDuration:        int(job.Duration),\n\t\t\tCluster:         job.Cluster,\n\t\t\tSubCluster:      job.SubCluster,\n\t\t\tNumNodes:        int(job.NumNodes),\n\t\t\tNumHWThreads:    &numThreadsInt,\n\t\t\tNumAccelerators: &numAccsInt,\n\t\t\tStats:           sres,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// JobsFootprints is the resolver for the jobsFootprints field.\nfunc (r *queryResolver) JobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n\t// NOTE: Legacy Naming! This resolver is for normalized histograms in analysis view only - *Not* related to DB \"footprint\" column!\n\treturn r.jobsFootprints(ctx, filter, metrics)\n}\n\n// RooflineHeatmap is the resolver for the rooflineHeatmap field.\nfunc (r *queryResolver) RooflineHeatmap(ctx context.Context, filter []*model.JobFilter, rows int, cols int, minX float64, minY float64, maxX float64, maxY float64) ([][]float64, error) {\n\treturn r.rooflineHeatmap(ctx, filter, rows, cols, minX, minY, maxX, maxY)\n}\n\n// NodeMetrics is the resolver for the nodeMetrics field.\nfunc (r *queryResolver) NodeMetrics(ctx context.Context, cluster string, nodes []string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time) ([]*model.NodeMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tdefaultMetrics := make([]string, 0)\n\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\tdefaultMetrics = append(defaultMetrics, mc.Name)\n\t}\n\tif metrics == nil {\n\t\tmetrics = defaultMetrics\n\t} else {\n\t\tmetrics = slices.DeleteFunc(metrics, func(metric string) bool {\n\t\t\treturn !slices.Contains(defaultMetrics, metric) // Remove undefined metrics.\n\t\t})\n\t}\n\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\tnodeStateMap, metricHealthMap, _ := nodeRepo.MapNodes(cluster)\n\n\tnodeMetrics := make([]*model.NodeMetrics, 0, len(data))\n\tfor hostname, metrics := range data {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost:         hostname,\n\t\t\tNodeState:    nodeStateMap[hostname],\n\t\t\tMetricHealth: metricHealthMap[hostname],\n\t\t\tMetrics:      make([]*model.JobMetricWithName, 0, len(metrics)*len(scopes)),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName:   metric,\n\t\t\t\t\tScope:  schema.MetricScopeNode,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetrics = append(nodeMetrics, host)\n\t}\n\n\treturn nodeMetrics, nil\n}\n\n// NodeMetricsList is the resolver for the nodeMetricsList field.\nfunc (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int, resampleAlgo *model.ResampleAlgo) (*model.NodesResultList, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\t// nodes -> array hostname\n\tnodes, nodeStateMap, metricHealthMap, countNodes, hasNextPage, nerr := nodeRepo.GetNodesForList(ctx, cluster, subCluster, stateFilter, nodeFilter, page)\n\tif nerr != nil {\n\t\treturn nil, errors.New(\"could not retrieve node list required for resolving NodeMetricsList\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\t// data -> map hostname:jobdata\n\tdata, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data (Resolver.NodeMetricsList\")\n\t\treturn nil, err\n\t}\n\n\tnodeMetricsList := make([]*model.NodeMetrics, 0, len(data))\n\tfor _, hostname := range nodes {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost:         hostname,\n\t\t\tNodeState:    nodeStateMap[hostname],\n\t\t\tMetricHealth: metricHealthMap[hostname],\n\t\t\tMetrics:      make([]*model.JobMetricWithName, 0),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range data[hostname] {\n\t\t\tfor scope, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName:   metric,\n\t\t\t\t\tScope:  scope,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetricsList = append(nodeMetricsList, host)\n\t}\n\n\tnodeMetricsListResult := &model.NodesResultList{\n\t\tItems: nodeMetricsList,\n\t\t// TotalNodes depends on sum of nodes grouped on latest timestamp, see repo/node.go:357\n\t\tTotalNodes:  &countNodes,\n\t\tHasNextPage: &hasNextPage,\n\t}\n\n\treturn nodeMetricsListResult, nil\n}\n\n// ClusterMetrics is the resolver for the clusterMetrics field.\nfunc (r *queryResolver) ClusterMetrics(ctx context.Context, cluster string, metrics []string, from time.Time, to time.Time) (*model.ClusterMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\t// 'nodes' == nil -> Defaults to all nodes of cluster for existing query workflow\n\tscopes := []schema.MetricScope{\"node\"}\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nil, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tclusterMetricData := make([]*model.ClusterMetricWithName, 0)\n\tclusterMetrics := model.ClusterMetrics{NodeCount: 0, Metrics: clusterMetricData}\n\n\tcollectorTimestep := make(map[string]int)\n\tcollectorUnit := make(map[string]schema.Unit)\n\tcollectorData := make(map[string][]schema.Float)\n\n\tfor _, metrics := range data {\n\t\tclusterMetrics.NodeCount += 1\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\t// Collect Info Once\n\t\t\t\t_, okTimestep := collectorTimestep[metric]\n\t\t\t\tif !okTimestep {\n\t\t\t\t\tcollectorTimestep[metric] = scopedMetric.Timestep\n\t\t\t\t}\n\t\t\t\t_, okUnit := collectorUnit[metric]\n\t\t\t\tif !okUnit {\n\t\t\t\t\tcollectorUnit[metric] = scopedMetric.Unit\n\t\t\t\t}\n\t\t\t\t// Collect Data\n\t\t\t\tfor _, ser := range scopedMetric.Series {\n\t\t\t\t\t_, okData := collectorData[metric]\n\t\t\t\t\t// Init With Datasize > 0\n\t\t\t\t\tif !okData && len(ser.Data) != 0 {\n\t\t\t\t\t\tcollectorData[metric] = make([]schema.Float, len(ser.Data))\n\t\t\t\t\t} else if !okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip init: no data -> %s at %s; size %d\", metric, ser.Hostname, len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t\t// Sum if init'd and matching size\n\t\t\t\t\tif okData && len(ser.Data) == len(collectorData[metric]) {\n\t\t\t\t\t\tfor i, val := range ser.Data {\n\t\t\t\t\t\t\tif val.IsNaN() {\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tcollectorData[metric][i] += val\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else if okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip sum: data diff -> %s at %s; want size %d, have size %d\", metric, ser.Hostname, len(collectorData[metric]), len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tfor metricName, data := range collectorData {\n\t\t// use ccUnits for backend normalization to \"Tera\"\n\t\tp_old := ccunit.NewPrefix(collectorUnit[metricName].Prefix)\n\t\tp_new := ccunit.NewPrefix(\"T\")\n\t\tconvFunc := ccunit.GetPrefixPrefixFactor(p_old, p_new)\n\t\tu_new := schema.Unit{Prefix: p_new.Prefix(), Base: collectorUnit[metricName].Base}\n\n\t\troundedData := make([]schema.Float, 0)\n\t\tfor _, v_old := range data {\n\t\t\tv_new := math.Round(convFunc(float64(v_old)).(float64)*100.0) / 100.0\n\t\t\troundedData = append(roundedData, schema.Float(v_new))\n\t\t}\n\n\t\tcm := model.ClusterMetricWithName{\n\t\t\tName:     metricName,\n\t\t\tUnit:     &u_new,\n\t\t\tTimestep: collectorTimestep[metricName],\n\t\t\tData:     roundedData,\n\t\t}\n\n\t\tclusterMetrics.Metrics = append(clusterMetrics.Metrics, &cm)\n\t}\n\n\treturn &clusterMetrics, nil\n}\n\n// NumberOfNodes is the resolver for the numberOfNodes field.\nfunc (r *subClusterResolver) NumberOfNodes(ctx context.Context, obj *schema.SubCluster) (int, error) {\n\tnodeList, err := archive.ParseNodeList(obj.Nodes)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn nodeList.NodeCount(), nil\n}\n\n// Cluster returns generated.ClusterResolver implementation.\nfunc (r *Resolver) Cluster() generated.ClusterResolver { return &clusterResolver{r} }\n\n// Job returns generated.JobResolver implementation.\nfunc (r *Resolver) Job() generated.JobResolver { return &jobResolver{r} }\n\n// MetricValue returns generated.MetricValueResolver implementation.\nfunc (r *Resolver) MetricValue() generated.MetricValueResolver { return &metricValueResolver{r} }\n\n// Mutation returns generated.MutationResolver implementation.\nfunc (r *Resolver) Mutation() generated.MutationResolver { return &mutationResolver{r} }\n\n// Node returns generated.NodeResolver implementation.\nfunc (r *Resolver) Node() generated.NodeResolver { return &nodeResolver{r} }\n\n// Query returns generated.QueryResolver implementation.\nfunc (r *Resolver) Query() generated.QueryResolver { return &queryResolver{r} }\n\n// SubCluster returns generated.SubClusterResolver implementation.\nfunc (r *Resolver) SubCluster() generated.SubClusterResolver { return &subClusterResolver{r} }\n\ntype clusterResolver struct{ *Resolver }\ntype jobResolver struct{ *Resolver }\ntype metricValueResolver struct{ *Resolver }\ntype mutationResolver struct{ *Resolver }\ntype nodeResolver struct{ *Resolver }\ntype queryResolver struct{ *Resolver }\ntype subClusterResolver struct{ *Resolver }\n","structuredPatch":[{"oldStart":906,"oldLines":8,"newStart":906,"newLines":13,"lines":["     }","   }"," ","+  algoName := \"\"","+  if resampleAlgo != nil {","+    algoName = strings.ToLower(resampleAlgo.String())","+  }","+","   // data -> map hostname:jobdata","-  data, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx)","+  data, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx, algoName)","   if err != nil {","     cclog.Warn(\"error while loading node data (Resolver.NodeMetricsList\")","     return nil, err"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"7799d214-fcfd-4cfa-b2f7-982b2be6f7f9","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricdispatch provides a unified interface for loading and caching job metric data.\n//\n// This package serves as a central dispatcher that routes metric data requests to the appropriate\n// backend based on job state. For running jobs, data is fetched from the metric store (e.g., cc-metric-store).\n// For completed jobs, data is retrieved from the file-based job archive.\n//\n// # Key Features\n//\n//   - Automatic backend selection based on job state (running vs. archived)\n//   - LRU cache for performance optimization (128 MB default cache size)\n//   - Data resampling using Largest Triangle Three Bucket algorithm for archived data\n//   - Automatic statistics series generation for jobs with many nodes\n//   - Support for scoped metrics (node, socket, accelerator, core)\n//\n// # Cache Behavior\n//\n// Cached data has different TTL (time-to-live) values depending on job state:\n//   - Running jobs: 2 minutes (data changes frequently)\n//   - Completed jobs: 5 hours (data is static)\n//\n// The cache key is based on job ID, state, requested metrics, scopes, and resolution.\n//\n// # Usage\n//\n// The primary entry point is LoadData, which automatically handles both running and archived jobs:\n//\n//\tjobData, err := metricdispatch.LoadData(job, metrics, scopes, ctx, resolution)\n//\tif err != nil {\n//\t    // Handle error\n//\t}\n//\n// For statistics only, use LoadJobStats, LoadScopedJobStats, or LoadAverages depending on the required format.\npackage metricdispatch\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"math\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// cache is an LRU cache with 128 MB capacity for storing loaded job metric data.\n// The cache reduces load on both the metric store and archive backends.\nvar cache *lrucache.Cache = lrucache.New(128 * 1024 * 1024)\n\n// cacheKey generates a unique cache key for a job's metric data based on job ID, state,\n// requested metrics, scopes, and resolution. Duration and StartTime are intentionally excluded\n// because job.ID is more unique and the cache TTL ensures entries don't persist indefinitely.\nfunc cacheKey(\n\tjob *schema.Job,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tresolution int,\n) string {\n\treturn fmt.Sprintf(\"%d(%s):[%v],[%v]-%d\",\n\t\t*job.ID, job.State, metrics, scopes, resolution)\n}\n\n// LoadData retrieves metric data for a job from the appropriate backend (memory store for running jobs,\n// archive for completed jobs) and applies caching, resampling, and statistics generation as needed.\n//\n// For running jobs or when archive is disabled, data is fetched from the metric store.\n// For completed archived jobs, data is loaded from the job archive and resampled if needed.\n//\n// Parameters:\n//   - job: The job for which to load metric data\n//   - metrics: List of metric names to load (nil loads all metrics for the cluster)\n//   - scopes: Metric scopes to include (nil defaults to node scope)\n//   - ctx: Context for cancellation and timeouts\n//   - resolution: Target number of data points for resampling (only applies to archived data)\n//\n// Returns the loaded job data and any error encountered. For partial errors (some metrics failed),\n// the function returns the successfully loaded data with a warning logged.\nfunc LoadData(job *schema.Job,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tctx context.Context,\n\tresolution int,\n) (schema.JobData, error) {\n\tdata := cache.Get(cacheKey(job, metrics, scopes, resolution), func() (_ any, ttl time.Duration, size int) {\n\t\tvar jd schema.JobData\n\t\tvar err error\n\n\t\tif job.State == schema.JobStateRunning ||\n\t\t\tjob.MonitoringStatus == schema.MonitoringStatusRunningOrArchiving {\n\n\t\t\tms, err := GetMetricDataRepo(job.Cluster, job.SubCluster)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\t\t\tjob.Cluster, job.SubCluster, err.Error())\n\t\t\t\treturn err, 0, 0\n\t\t\t}\n\n\t\t\tif scopes == nil {\n\t\t\t\tscopes = append(scopes, schema.MetricScopeNode)\n\t\t\t}\n\n\t\t\tif metrics == nil {\n\t\t\t\tcluster := archive.GetCluster(job.Cluster)\n\t\t\t\tfor _, mc := range cluster.MetricConfig {\n\t\t\t\t\tmetrics = append(metrics, mc.Name)\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tjd, err = ms.LoadData(job, metrics, scopes, ctx, resolution)\n\t\t\tif err != nil {\n\t\t\t\tif len(jd) != 0 {\n\t\t\t\t\tcclog.Warnf(\"partial error loading metrics from store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\t\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tcclog.Warnf(\"failed to load job data from metric store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\t\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\t\t\t\treturn err, 0, 0\n\t\t\t\t}\n\t\t\t}\n\t\t\tsize = jd.Size()\n\t\t} else {\n\t\t\tvar jdTemp schema.JobData\n\t\t\tjdTemp, err = archive.GetHandle().LoadJobData(job)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Warnf(\"failed to load job data from archive for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\t\t\treturn err, 0, 0\n\t\t\t}\n\n\t\t\tjd = deepCopy(jdTemp)\n\n\t\t\t// Resample archived data using Largest Triangle Three Bucket algorithm to reduce data points\n\t\t\t// to the requested resolution, improving transfer performance and client-side rendering.\n\t\t\tfor _, v := range jd {\n\t\t\t\tfor _, v_ := range v {\n\t\t\t\t\ttimestep := int64(0)\n\t\t\t\t\tfor i := 0; i < len(v_.Series); i += 1 {\n\t\t\t\t\t\tv_.Series[i].Data, timestep, err = resampler.LargestTriangleThreeBucket(v_.Series[i].Data, int64(v_.Timestep), int64(resolution))\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\treturn err, 0, 0\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\tv_.Timestep = int(timestep)\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Filter job data to only include requested metrics and scopes, avoiding unnecessary data transfer.\n\t\t\tif metrics != nil || scopes != nil {\n\t\t\t\tif metrics == nil {\n\t\t\t\t\tmetrics = make([]string, 0, len(jd))\n\t\t\t\t\tfor k := range jd {\n\t\t\t\t\t\tmetrics = append(metrics, k)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\tres := schema.JobData{}\n\t\t\t\tfor _, metric := range metrics {\n\t\t\t\t\tif perscope, ok := jd[metric]; ok {\n\t\t\t\t\t\tif len(perscope) > 1 {\n\t\t\t\t\t\t\tsubset := make(map[schema.MetricScope]*schema.JobMetric)\n\t\t\t\t\t\t\tfor _, scope := range scopes {\n\t\t\t\t\t\t\t\tif jm, ok := perscope[scope]; ok {\n\t\t\t\t\t\t\t\t\tsubset[scope] = jm\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\tif len(subset) > 0 {\n\t\t\t\t\t\t\t\tperscope = subset\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tres[metric] = perscope\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tjd = res\n\t\t\t}\n\t\t\tsize = jd.Size()\n\t\t}\n\n\t\tttl = 5 * time.Hour\n\t\tif job.State == schema.JobStateRunning {\n\t\t\tttl = 2 * time.Minute\n\t\t}\n\n\t\t// Generate statistics series for jobs with many nodes to enable min/median/max graphs\n\t\t// instead of overwhelming the UI with individual node lines. Note that newly calculated\n\t\t// statistics use min/median/max, while archived statistics may use min/mean/max.\n\t\tconst maxSeriesSize int = 8\n\t\tfor _, scopes := range jd {\n\t\t\tfor _, jm := range scopes {\n\t\t\t\tif jm.StatisticsSeries != nil || len(jm.Series) < maxSeriesSize {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tjm.AddStatisticsSeries()\n\t\t\t}\n\t\t}\n\n\t\tnodeScopeRequested := false\n\t\tfor _, scope := range scopes {\n\t\t\tif scope == schema.MetricScopeNode {\n\t\t\t\tnodeScopeRequested = true\n\t\t\t}\n\t\t}\n\n\t\tif nodeScopeRequested {\n\t\t\tjd.AddNodeScope(\"flops_any\")\n\t\t\tjd.AddNodeScope(\"mem_bw\")\n\t\t}\n\n\t\t// Round Resulting Stat Values\n\t\tjd.RoundMetricStats()\n\n\t\treturn jd, ttl, size\n\t})\n\n\tif err, ok := data.(error); ok {\n\t\tcclog.Errorf(\"error in cached dataset for job %d: %s\", job.JobID, err.Error())\n\t\treturn nil, err\n\t}\n\n\treturn data.(schema.JobData), nil\n}\n\n// LoadAverages computes average values for the specified metrics across all nodes of a job.\n// For running jobs, it loads statistics from the metric store. For completed jobs, it uses\n// the pre-calculated averages from the job archive. The results are appended to the data slice.\nfunc LoadAverages(\n\tjob *schema.Job,\n\tmetrics []string,\n\tdata [][]schema.Float,\n\tctx context.Context,\n) error {\n\tif job.State != schema.JobStateRunning {\n\t\treturn archive.LoadAveragesFromArchive(job, metrics, data) // #166 change also here?\n\t}\n\n\tms, err := GetMetricDataRepo(job.Cluster, job.SubCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\tjob.Cluster, job.SubCluster, err.Error())\n\t\treturn err\n\t}\n\n\tstats, err := ms.LoadStats(job, metrics, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"failed to load statistics from metric store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\treturn err\n\t}\n\n\tfor i, m := range metrics {\n\t\tnodes, ok := stats[m]\n\t\tif !ok {\n\t\t\tdata[i] = append(data[i], schema.NaN)\n\t\t\tcontinue\n\t\t}\n\n\t\tsum := 0.0\n\t\tfor _, node := range nodes {\n\t\t\tsum += node.Avg\n\t\t}\n\t\tdata[i] = append(data[i], schema.Float(sum))\n\t}\n\n\treturn nil\n}\n\n// LoadScopedJobStats retrieves job statistics organized by metric scope (node, socket, core, accelerator).\n// For running jobs, statistics are computed from the metric store. For completed jobs, pre-calculated\n// statistics are loaded from the job archive.\nfunc LoadScopedJobStats(\n\tjob *schema.Job,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tctx context.Context,\n) (schema.ScopedJobStats, error) {\n\tif job.State != schema.JobStateRunning {\n\t\treturn archive.LoadScopedStatsFromArchive(job, metrics, scopes)\n\t}\n\n\tms, err := GetMetricDataRepo(job.Cluster, job.SubCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\tjob.Cluster, job.SubCluster, err.Error())\n\t\treturn nil, err\n\t}\n\n\tscopedStats, err := ms.LoadScopedStats(job, metrics, scopes, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"failed to load scoped statistics from metric store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\treturn nil, err\n\t}\n\n\t// Round Resulting Stat Values\n\tscopedStats.RoundScopedMetricStats()\n\n\treturn scopedStats, nil\n}\n\n// LoadJobStats retrieves aggregated statistics (min/avg/max) for each requested metric across all job nodes.\n// For running jobs, statistics are computed from the metric store. For completed jobs, pre-calculated\n// statistics are loaded from the job archive.\nfunc LoadJobStats(\n\tjob *schema.Job,\n\tmetrics []string,\n\tctx context.Context,\n) (map[string]schema.MetricStatistics, error) {\n\tif job.State != schema.JobStateRunning {\n\t\treturn archive.LoadStatsFromArchive(job, metrics)\n\t}\n\n\tms, err := GetMetricDataRepo(job.Cluster, job.SubCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\tjob.Cluster, job.SubCluster, err.Error())\n\t\treturn nil, err\n\t}\n\n\tdata := make(map[string]schema.MetricStatistics, len(metrics))\n\n\tstats, err := ms.LoadStats(job, metrics, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"failed to load statistics from metric store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\treturn data, err\n\t}\n\n\tfor _, m := range metrics {\n\t\tsum, avg, min, max := 0.0, 0.0, 0.0, 0.0\n\t\tnodes, ok := stats[m]\n\t\tif !ok {\n\t\t\tdata[m] = schema.MetricStatistics{Min: min, Avg: avg, Max: max}\n\t\t\tcontinue\n\t\t}\n\n\t\tfor _, node := range nodes {\n\t\t\tsum += node.Avg\n\t\t\tmin = math.Min(min, node.Min)\n\t\t\tmax = math.Max(max, node.Max)\n\t\t}\n\n\t\tdata[m] = schema.MetricStatistics{\n\t\t\tAvg: (math.Round((sum/float64(job.NumNodes))*100) / 100),\n\t\t\tMin: (math.Round(min*100) / 100),\n\t\t\tMax: (math.Round(max*100) / 100),\n\t\t}\n\t}\n\n\treturn data, nil\n}\n\n// LoadNodeData retrieves metric data for specific nodes in a cluster within a time range.\n// This is used for node monitoring views and system status pages. Data is always fetched from\n// the metric store (not the archive) since it's for current/recent node status monitoring.\n//\n// Returns a nested map structure: node -> metric -> scoped data.\n// FIXME: Add support for subcluster specific cc-metric-stores\nfunc LoadNodeData(\n\tcluster string,\n\tmetrics, nodes []string,\n\tscopes []schema.MetricScope,\n\tfrom, to time.Time,\n\tctx context.Context,\n) (map[string]map[string][]*schema.JobMetric, error) {\n\tif metrics == nil {\n\t\tfor _, m := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, m.Name)\n\t\t}\n\t}\n\n\tms, err := GetMetricDataRepo(cluster, \"\")\n\tif err != nil {\n\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s: %s\",\n\t\t\tcluster, err.Error())\n\t\treturn nil, err\n\t}\n\n\tdata, err := ms.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)\n\tif err != nil {\n\t\tif len(data) != 0 {\n\t\t\tcclog.Warnf(\"partial error loading node data from metric store for cluster %s: %s\", cluster, err.Error())\n\t\t} else {\n\t\t\tcclog.Warnf(\"failed to load node data from metric store for cluster %s: %s\", cluster, err.Error())\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\tif data == nil {\n\t\treturn nil, fmt.Errorf(\"metric store for cluster '%s' does not support node data queries\", cluster)\n\t}\n\n\treturn data, nil\n}\n\n// LoadNodeListData retrieves time-series metric data for multiple nodes within a time range,\n// with optional resampling and automatic statistics generation for large datasets.\n// This is used for comparing multiple nodes or displaying node status over time.\n//\n// Returns a map of node names to their job-like metric data structures.\nfunc LoadNodeListData(\n\tcluster, subCluster string,\n\tnodes []string,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tresolution int,\n\tfrom, to time.Time,\n\tctx context.Context,\n) (map[string]schema.JobData, error) {\n\tif metrics == nil {\n\t\tfor _, m := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, m.Name)\n\t\t}\n\t}\n\n\tms, err := GetMetricDataRepo(cluster, subCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\tcluster, subCluster, err.Error())\n\t\treturn nil, err\n\t}\n\n\tdata, err := ms.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, resolution, from, to, ctx)\n\tif err != nil {\n\t\tif len(data) != 0 {\n\t\t\tcclog.Warnf(\"partial error loading node list data from metric store for cluster %s, subcluster %s: %s\",\n\t\t\t\tcluster, subCluster, err.Error())\n\t\t} else {\n\t\t\tcclog.Warnf(\"failed to load node list data from metric store for cluster %s, subcluster %s: %s\",\n\t\t\t\tcluster, subCluster, err.Error())\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\t// Generate statistics series for datasets with many series to improve visualization performance.\n\t// Statistics are calculated as min/median/max.\n\tconst maxSeriesSize int = 8\n\tfor _, jd := range data {\n\t\tfor _, scopes := range jd {\n\t\t\tfor _, jm := range scopes {\n\t\t\t\tif jm.StatisticsSeries != nil || len(jm.Series) < maxSeriesSize {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tjm.AddStatisticsSeries()\n\t\t\t}\n\t\t}\n\t}\n\n\tif data == nil {\n\t\treturn nil, fmt.Errorf(\"metric store for cluster '%s' does not support node list queries\", cluster)\n\t}\n\n\treturn data, nil\n}\n\n// deepCopy creates a deep copy of JobData to prevent cache corruption when modifying\n// archived data (e.g., during resampling). This ensures the cached archive data remains\n// immutable while allowing per-request transformations.\nfunc deepCopy(source schema.JobData) schema.JobData {\n\tresult := make(schema.JobData, len(source))\n\n\tfor metricName, scopeMap := range source {\n\t\tresult[metricName] = make(map[schema.MetricScope]*schema.JobMetric, len(scopeMap))\n\n\t\tfor scope, jobMetric := range scopeMap {\n\t\t\tresult[metricName][scope] = copyJobMetric(jobMetric)\n\t\t}\n\t}\n\n\treturn result\n}\n\nfunc copyJobMetric(src *schema.JobMetric) *schema.JobMetric {\n\tdst := &schema.JobMetric{\n\t\tTimestep: src.Timestep,\n\t\tUnit:     src.Unit,\n\t\tSeries:   make([]schema.Series, len(src.Series)),\n\t}\n\n\tfor i := range src.Series {\n\t\tdst.Series[i] = copySeries(&src.Series[i])\n\t}\n\n\tif src.StatisticsSeries != nil {\n\t\tdst.StatisticsSeries = copyStatisticsSeries(src.StatisticsSeries)\n\t}\n\n\treturn dst\n}\n\nfunc copySeries(src *schema.Series) schema.Series {\n\tdst := schema.Series{\n\t\tHostname:   src.Hostname,\n\t\tID:         src.ID,\n\t\tStatistics: src.Statistics,\n\t\tData:       make([]schema.Float, len(src.Data)),\n\t}\n\n\tcopy(dst.Data, src.Data)\n\treturn dst\n}\n\nfunc copyStatisticsSeries(src *schema.StatsSeries) *schema.StatsSeries {\n\tdst := &schema.StatsSeries{\n\t\tMin:    make([]schema.Float, len(src.Min)),\n\t\tMean:   make([]schema.Float, len(src.Mean)),\n\t\tMedian: make([]schema.Float, len(src.Median)),\n\t\tMax:    make([]schema.Float, len(src.Max)),\n\t}\n\n\tcopy(dst.Min, src.Min)\n\tcopy(dst.Mean, src.Mean)\n\tcopy(dst.Median, src.Median)\n\tcopy(dst.Max, src.Max)\n\n\tif len(src.Percentiles) > 0 {\n\t\tdst.Percentiles = make(map[int][]schema.Float, len(src.Percentiles))\n\t\tfor percentile, values := range src.Percentiles {\n\t\t\tdst.Percentiles[percentile] = make([]schema.Float, len(values))\n\t\t\tcopy(dst.Percentiles[percentile], values)\n\t\t}\n\t}\n\n\treturn dst\n}\n","structuredPatch":[{"oldStart":62,"oldLines":9,"newStart":62,"newLines":10,"lines":["   metrics []string,","   scopes []schema.MetricScope,","   resolution int,","+  resampleAlgo string,"," ) string {","-  return fmt.Sprintf(\"%d(%s):[%v],[%v]-%d\",","-    *job.ID, job.State, metrics, scopes, resolution)","+  return fmt.Sprintf(\"%d(%s):[%v],[%v]-%d-%s\",","+    *job.ID, job.State, metrics, scopes, resolution, resampleAlgo)"," }"," "," // LoadData retrieves metric data for a job from the appropriate backend (memory store for running jobs,"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"c5542b64-984a-4945-ae03-7940738ae91d","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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+{"parentUuid":"193a383d-3ad5-4b52-8544-b83aff171f32","isSidechain":false,"promptId":"1c46e1b2-ade5-44be-90d9-e93109c02833","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HwXDMWVSdZKGYjHgBA7mth","type":"tool_result","content":"The file /Users/jan/tmp/cc-backend/internal/metricdispatch/dataLoader.go has been updated successfully."}]},"uuid":"6dc21b17-64c3-400d-b7a9-9d3ef3af22ee","timestamp":"2026-03-19T19:50:20.955Z","toolUseResult":{"filePath":"/Users/jan/tmp/cc-backend/internal/metricdispatch/dataLoader.go","oldString":"func LoadData(job *schema.Job,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tctx context.Context,\n\tresolution int,\n) (schema.JobData, error) {\n\tdata := cache.Get(cacheKey(job, metrics, scopes, resolution), func() (_ any, ttl time.Duration, size int) {","newString":"func LoadData(job *schema.Job,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tctx context.Context,\n\tresolution int,\n\tresampleAlgo string,\n) (schema.JobData, error) {\n\tdata := cache.Get(cacheKey(job, metrics, scopes, resolution, resampleAlgo), func() (_ any, ttl time.Duration, size int) {","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricdispatch provides a unified interface for loading and caching job metric data.\n//\n// This package serves as a central dispatcher that routes metric data requests to the appropriate\n// backend based on job state. For running jobs, data is fetched from the metric store (e.g., cc-metric-store).\n// For completed jobs, data is retrieved from the file-based job archive.\n//\n// # Key Features\n//\n//   - Automatic backend selection based on job state (running vs. archived)\n//   - LRU cache for performance optimization (128 MB default cache size)\n//   - Data resampling using Largest Triangle Three Bucket algorithm for archived data\n//   - Automatic statistics series generation for jobs with many nodes\n//   - Support for scoped metrics (node, socket, accelerator, core)\n//\n// # Cache Behavior\n//\n// Cached data has different TTL (time-to-live) values depending on job state:\n//   - Running jobs: 2 minutes (data changes frequently)\n//   - Completed jobs: 5 hours (data is static)\n//\n// The cache key is based on job ID, state, requested metrics, scopes, and resolution.\n//\n// # Usage\n//\n// The primary entry point is LoadData, which automatically handles both running and archived jobs:\n//\n//\tjobData, err := metricdispatch.LoadData(job, metrics, scopes, ctx, resolution)\n//\tif err != nil {\n//\t    // Handle error\n//\t}\n//\n// For statistics only, use LoadJobStats, LoadScopedJobStats, or LoadAverages depending on the required format.\npackage metricdispatch\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"math\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// cache is an LRU cache with 128 MB capacity for storing loaded job metric data.\n// The cache reduces load on both the metric store and archive backends.\nvar cache *lrucache.Cache = lrucache.New(128 * 1024 * 1024)\n\n// cacheKey generates a unique cache key for a job's metric data based on job ID, state,\n// requested metrics, scopes, and resolution. Duration and StartTime are intentionally excluded\n// because job.ID is more unique and the cache TTL ensures entries don't persist indefinitely.\nfunc cacheKey(\n\tjob *schema.Job,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tresolution int,\n\tresampleAlgo string,\n) string {\n\treturn fmt.Sprintf(\"%d(%s):[%v],[%v]-%d-%s\",\n\t\t*job.ID, job.State, metrics, scopes, resolution, resampleAlgo)\n}\n\n// LoadData retrieves metric data for a job from the appropriate backend (memory store for running jobs,\n// archive for completed jobs) and applies caching, resampling, and statistics generation as needed.\n//\n// For running jobs or when archive is disabled, data is fetched from the metric store.\n// For completed archived jobs, data is loaded from the job archive and resampled if needed.\n//\n// Parameters:\n//   - job: The job for which to load metric data\n//   - metrics: List of metric names to load (nil loads all metrics for the cluster)\n//   - scopes: Metric scopes to include (nil defaults to node scope)\n//   - ctx: Context for cancellation and timeouts\n//   - resolution: Target number of data points for resampling (only applies to archived data)\n//\n// Returns the loaded job data and any error encountered. For partial errors (some metrics failed),\n// the function returns the successfully loaded data with a warning logged.\nfunc LoadData(job *schema.Job,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tctx context.Context,\n\tresolution int,\n) (schema.JobData, error) {\n\tdata := cache.Get(cacheKey(job, metrics, scopes, resolution), func() (_ any, ttl time.Duration, size int) {\n\t\tvar jd schema.JobData\n\t\tvar err error\n\n\t\tif job.State == schema.JobStateRunning ||\n\t\t\tjob.MonitoringStatus == schema.MonitoringStatusRunningOrArchiving {\n\n\t\t\tms, err := GetMetricDataRepo(job.Cluster, job.SubCluster)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\t\t\tjob.Cluster, job.SubCluster, err.Error())\n\t\t\t\treturn err, 0, 0\n\t\t\t}\n\n\t\t\tif scopes == nil {\n\t\t\t\tscopes = append(scopes, schema.MetricScopeNode)\n\t\t\t}\n\n\t\t\tif metrics == nil {\n\t\t\t\tcluster := archive.GetCluster(job.Cluster)\n\t\t\t\tfor _, mc := range cluster.MetricConfig {\n\t\t\t\t\tmetrics = append(metrics, mc.Name)\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tjd, err = ms.LoadData(job, metrics, scopes, ctx, resolution)\n\t\t\tif err != nil {\n\t\t\t\tif len(jd) != 0 {\n\t\t\t\t\tcclog.Warnf(\"partial error loading metrics from store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\t\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tcclog.Warnf(\"failed to load job data from metric store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\t\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\t\t\t\treturn err, 0, 0\n\t\t\t\t}\n\t\t\t}\n\t\t\tsize = jd.Size()\n\t\t} else {\n\t\t\tvar jdTemp schema.JobData\n\t\t\tjdTemp, err = archive.GetHandle().LoadJobData(job)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Warnf(\"failed to load job data from archive for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\t\t\treturn err, 0, 0\n\t\t\t}\n\n\t\t\tjd = deepCopy(jdTemp)\n\n\t\t\t// Resample archived data using Largest Triangle Three Bucket algorithm to reduce data points\n\t\t\t// to the requested resolution, improving transfer performance and client-side rendering.\n\t\t\tfor _, v := range jd {\n\t\t\t\tfor _, v_ := range v {\n\t\t\t\t\ttimestep := int64(0)\n\t\t\t\t\tfor i := 0; i < len(v_.Series); i += 1 {\n\t\t\t\t\t\tv_.Series[i].Data, timestep, err = resampler.LargestTriangleThreeBucket(v_.Series[i].Data, int64(v_.Timestep), int64(resolution))\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\treturn err, 0, 0\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\tv_.Timestep = int(timestep)\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Filter job data to only include requested metrics and scopes, avoiding unnecessary data transfer.\n\t\t\tif metrics != nil || scopes != nil {\n\t\t\t\tif metrics == nil {\n\t\t\t\t\tmetrics = make([]string, 0, len(jd))\n\t\t\t\t\tfor k := range jd {\n\t\t\t\t\t\tmetrics = append(metrics, k)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\tres := schema.JobData{}\n\t\t\t\tfor _, metric := range metrics {\n\t\t\t\t\tif perscope, ok := jd[metric]; ok {\n\t\t\t\t\t\tif len(perscope) > 1 {\n\t\t\t\t\t\t\tsubset := make(map[schema.MetricScope]*schema.JobMetric)\n\t\t\t\t\t\t\tfor _, scope := range scopes {\n\t\t\t\t\t\t\t\tif jm, ok := perscope[scope]; ok {\n\t\t\t\t\t\t\t\t\tsubset[scope] = jm\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\tif len(subset) > 0 {\n\t\t\t\t\t\t\t\tperscope = subset\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tres[metric] = perscope\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tjd = res\n\t\t\t}\n\t\t\tsize = jd.Size()\n\t\t}\n\n\t\tttl = 5 * time.Hour\n\t\tif job.State == schema.JobStateRunning {\n\t\t\tttl = 2 * time.Minute\n\t\t}\n\n\t\t// Generate statistics series for jobs with many nodes to enable min/median/max graphs\n\t\t// instead of overwhelming the UI with individual node lines. Note that newly calculated\n\t\t// statistics use min/median/max, while archived statistics may use min/mean/max.\n\t\tconst maxSeriesSize int = 8\n\t\tfor _, scopes := range jd {\n\t\t\tfor _, jm := range scopes {\n\t\t\t\tif jm.StatisticsSeries != nil || len(jm.Series) < maxSeriesSize {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tjm.AddStatisticsSeries()\n\t\t\t}\n\t\t}\n\n\t\tnodeScopeRequested := false\n\t\tfor _, scope := range scopes {\n\t\t\tif scope == schema.MetricScopeNode {\n\t\t\t\tnodeScopeRequested = true\n\t\t\t}\n\t\t}\n\n\t\tif nodeScopeRequested {\n\t\t\tjd.AddNodeScope(\"flops_any\")\n\t\t\tjd.AddNodeScope(\"mem_bw\")\n\t\t}\n\n\t\t// Round Resulting Stat Values\n\t\tjd.RoundMetricStats()\n\n\t\treturn jd, ttl, size\n\t})\n\n\tif err, ok := data.(error); ok {\n\t\tcclog.Errorf(\"error in cached dataset for job %d: %s\", job.JobID, err.Error())\n\t\treturn nil, err\n\t}\n\n\treturn data.(schema.JobData), nil\n}\n\n// LoadAverages computes average values for the specified metrics across all nodes of a job.\n// For running jobs, it loads statistics from the metric store. For completed jobs, it uses\n// the pre-calculated averages from the job archive. The results are appended to the data slice.\nfunc LoadAverages(\n\tjob *schema.Job,\n\tmetrics []string,\n\tdata [][]schema.Float,\n\tctx context.Context,\n) error {\n\tif job.State != schema.JobStateRunning {\n\t\treturn archive.LoadAveragesFromArchive(job, metrics, data) // #166 change also here?\n\t}\n\n\tms, err := GetMetricDataRepo(job.Cluster, job.SubCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\tjob.Cluster, job.SubCluster, err.Error())\n\t\treturn err\n\t}\n\n\tstats, err := ms.LoadStats(job, metrics, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"failed to load statistics from metric store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\treturn err\n\t}\n\n\tfor i, m := range metrics {\n\t\tnodes, ok := stats[m]\n\t\tif !ok {\n\t\t\tdata[i] = append(data[i], schema.NaN)\n\t\t\tcontinue\n\t\t}\n\n\t\tsum := 0.0\n\t\tfor _, node := range nodes {\n\t\t\tsum += node.Avg\n\t\t}\n\t\tdata[i] = append(data[i], schema.Float(sum))\n\t}\n\n\treturn nil\n}\n\n// LoadScopedJobStats retrieves job statistics organized by metric scope (node, socket, core, accelerator).\n// For running jobs, statistics are computed from the metric store. For completed jobs, pre-calculated\n// statistics are loaded from the job archive.\nfunc LoadScopedJobStats(\n\tjob *schema.Job,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tctx context.Context,\n) (schema.ScopedJobStats, error) {\n\tif job.State != schema.JobStateRunning {\n\t\treturn archive.LoadScopedStatsFromArchive(job, metrics, scopes)\n\t}\n\n\tms, err := GetMetricDataRepo(job.Cluster, job.SubCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\tjob.Cluster, job.SubCluster, err.Error())\n\t\treturn nil, err\n\t}\n\n\tscopedStats, err := ms.LoadScopedStats(job, metrics, scopes, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"failed to load scoped statistics from metric store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\treturn nil, err\n\t}\n\n\t// Round Resulting Stat Values\n\tscopedStats.RoundScopedMetricStats()\n\n\treturn scopedStats, nil\n}\n\n// LoadJobStats retrieves aggregated statistics (min/avg/max) for each requested metric across all job nodes.\n// For running jobs, statistics are computed from the metric store. For completed jobs, pre-calculated\n// statistics are loaded from the job archive.\nfunc LoadJobStats(\n\tjob *schema.Job,\n\tmetrics []string,\n\tctx context.Context,\n) (map[string]schema.MetricStatistics, error) {\n\tif job.State != schema.JobStateRunning {\n\t\treturn archive.LoadStatsFromArchive(job, metrics)\n\t}\n\n\tms, err := GetMetricDataRepo(job.Cluster, job.SubCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\tjob.Cluster, job.SubCluster, err.Error())\n\t\treturn nil, err\n\t}\n\n\tdata := make(map[string]schema.MetricStatistics, len(metrics))\n\n\tstats, err := ms.LoadStats(job, metrics, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"failed to load statistics from metric store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\treturn data, err\n\t}\n\n\tfor _, m := range metrics {\n\t\tsum, avg, min, max := 0.0, 0.0, 0.0, 0.0\n\t\tnodes, ok := stats[m]\n\t\tif !ok {\n\t\t\tdata[m] = schema.MetricStatistics{Min: min, Avg: avg, Max: max}\n\t\t\tcontinue\n\t\t}\n\n\t\tfor _, node := range nodes {\n\t\t\tsum += node.Avg\n\t\t\tmin = math.Min(min, node.Min)\n\t\t\tmax = math.Max(max, node.Max)\n\t\t}\n\n\t\tdata[m] = schema.MetricStatistics{\n\t\t\tAvg: (math.Round((sum/float64(job.NumNodes))*100) / 100),\n\t\t\tMin: (math.Round(min*100) / 100),\n\t\t\tMax: (math.Round(max*100) / 100),\n\t\t}\n\t}\n\n\treturn data, nil\n}\n\n// LoadNodeData retrieves metric data for specific nodes in a cluster within a time range.\n// This is used for node monitoring views and system status pages. Data is always fetched from\n// the metric store (not the archive) since it's for current/recent node status monitoring.\n//\n// Returns a nested map structure: node -> metric -> scoped data.\n// FIXME: Add support for subcluster specific cc-metric-stores\nfunc LoadNodeData(\n\tcluster string,\n\tmetrics, nodes []string,\n\tscopes []schema.MetricScope,\n\tfrom, to time.Time,\n\tctx context.Context,\n) (map[string]map[string][]*schema.JobMetric, error) {\n\tif metrics == nil {\n\t\tfor _, m := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, m.Name)\n\t\t}\n\t}\n\n\tms, err := GetMetricDataRepo(cluster, \"\")\n\tif err != nil {\n\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s: %s\",\n\t\t\tcluster, err.Error())\n\t\treturn nil, err\n\t}\n\n\tdata, err := ms.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)\n\tif err != nil {\n\t\tif len(data) != 0 {\n\t\t\tcclog.Warnf(\"partial error loading node data from metric store for cluster %s: %s\", cluster, err.Error())\n\t\t} else {\n\t\t\tcclog.Warnf(\"failed to load node data from metric store for cluster %s: %s\", cluster, err.Error())\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\tif data == nil {\n\t\treturn nil, fmt.Errorf(\"metric store for cluster '%s' does not support node data queries\", cluster)\n\t}\n\n\treturn data, nil\n}\n\n// LoadNodeListData retrieves time-series metric data for multiple nodes within a time range,\n// with optional resampling and automatic statistics generation for large datasets.\n// This is used for comparing multiple nodes or displaying node status over time.\n//\n// Returns a map of node names to their job-like metric data structures.\nfunc LoadNodeListData(\n\tcluster, subCluster string,\n\tnodes []string,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tresolution int,\n\tfrom, to time.Time,\n\tctx context.Context,\n) (map[string]schema.JobData, error) {\n\tif metrics == nil {\n\t\tfor _, m := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, m.Name)\n\t\t}\n\t}\n\n\tms, err := GetMetricDataRepo(cluster, subCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\tcluster, subCluster, err.Error())\n\t\treturn nil, err\n\t}\n\n\tdata, err := ms.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, resolution, from, to, ctx)\n\tif err != nil {\n\t\tif len(data) != 0 {\n\t\t\tcclog.Warnf(\"partial error loading node list data from metric store for cluster %s, subcluster %s: %s\",\n\t\t\t\tcluster, subCluster, err.Error())\n\t\t} else {\n\t\t\tcclog.Warnf(\"failed to load node list data from metric store for cluster %s, subcluster %s: %s\",\n\t\t\t\tcluster, subCluster, err.Error())\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\t// Generate statistics series for datasets with many series to improve visualization performance.\n\t// Statistics are calculated as min/median/max.\n\tconst maxSeriesSize int = 8\n\tfor _, jd := range data {\n\t\tfor _, scopes := range jd {\n\t\t\tfor _, jm := range scopes {\n\t\t\t\tif jm.StatisticsSeries != nil || len(jm.Series) < maxSeriesSize {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tjm.AddStatisticsSeries()\n\t\t\t}\n\t\t}\n\t}\n\n\tif data == nil {\n\t\treturn nil, fmt.Errorf(\"metric store for cluster '%s' does not support node list queries\", cluster)\n\t}\n\n\treturn data, nil\n}\n\n// deepCopy creates a deep copy of JobData to prevent cache corruption when modifying\n// archived data (e.g., during resampling). This ensures the cached archive data remains\n// immutable while allowing per-request transformations.\nfunc deepCopy(source schema.JobData) schema.JobData {\n\tresult := make(schema.JobData, len(source))\n\n\tfor metricName, scopeMap := range source {\n\t\tresult[metricName] = make(map[schema.MetricScope]*schema.JobMetric, len(scopeMap))\n\n\t\tfor scope, jobMetric := range scopeMap {\n\t\t\tresult[metricName][scope] = copyJobMetric(jobMetric)\n\t\t}\n\t}\n\n\treturn result\n}\n\nfunc copyJobMetric(src *schema.JobMetric) *schema.JobMetric {\n\tdst := &schema.JobMetric{\n\t\tTimestep: src.Timestep,\n\t\tUnit:     src.Unit,\n\t\tSeries:   make([]schema.Series, len(src.Series)),\n\t}\n\n\tfor i := range src.Series {\n\t\tdst.Series[i] = copySeries(&src.Series[i])\n\t}\n\n\tif src.StatisticsSeries != nil {\n\t\tdst.StatisticsSeries = copyStatisticsSeries(src.StatisticsSeries)\n\t}\n\n\treturn dst\n}\n\nfunc copySeries(src *schema.Series) schema.Series {\n\tdst := schema.Series{\n\t\tHostname:   src.Hostname,\n\t\tID:         src.ID,\n\t\tStatistics: src.Statistics,\n\t\tData:       make([]schema.Float, len(src.Data)),\n\t}\n\n\tcopy(dst.Data, src.Data)\n\treturn dst\n}\n\nfunc copyStatisticsSeries(src *schema.StatsSeries) *schema.StatsSeries {\n\tdst := &schema.StatsSeries{\n\t\tMin:    make([]schema.Float, len(src.Min)),\n\t\tMean:   make([]schema.Float, len(src.Mean)),\n\t\tMedian: make([]schema.Float, len(src.Median)),\n\t\tMax:    make([]schema.Float, len(src.Max)),\n\t}\n\n\tcopy(dst.Min, src.Min)\n\tcopy(dst.Mean, src.Mean)\n\tcopy(dst.Median, src.Median)\n\tcopy(dst.Max, src.Max)\n\n\tif len(src.Percentiles) > 0 {\n\t\tdst.Percentiles = make(map[int][]schema.Float, len(src.Percentiles))\n\t\tfor percentile, values := range src.Percentiles {\n\t\t\tdst.Percentiles[percentile] = make([]schema.Float, len(values))\n\t\t\tcopy(dst.Percentiles[percentile], values)\n\t\t}\n\t}\n\n\treturn dst\n}\n","structuredPatch":[{"oldStart":88,"oldLines":8,"newStart":88,"newLines":9,"lines":["   scopes []schema.MetricScope,","   ctx context.Context,","   resolution int,","+  resampleAlgo string,"," ) (schema.JobData, error) {","-  data := cache.Get(cacheKey(job, metrics, scopes, resolution), func() (_ any, ttl time.Duration, size int) {","+  data := cache.Get(cacheKey(job, metrics, scopes, resolution, resampleAlgo), func() (_ any, ttl time.Duration, size int) {","     var jd schema.JobData","     var err error"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"193a383d-3ad5-4b52-8544-b83aff171f32","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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+{"parentUuid":"44b11482-88cf-4431-962c-e637bc5fa821","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01DFSz1WPfg3a7r5fYLV5jAs","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KZKmFiKVagLoMj12yWqQKF","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/tmp/cc-backend/internal/metricdispatch/dataLoader.go","old_string":"\t\t// Resample archived data using Largest Triangle Three Bucket algorithm to reduce data points\n\t\t\t// to the requested resolution, improving transfer performance and client-side rendering.\n\t\t\tfor _, v := range jd {\n\t\t\t\tfor _, v_ := range v {\n\t\t\t\t\ttimestep := int64(0)\n\t\t\t\t\tfor i := 0; i < len(v_.Series); i += 1 {\n\t\t\t\t\t\tv_.Series[i].Data, timestep, err = resampler.LargestTriangleThreeBucket(v_.Series[i].Data, int64(v_.Timestep), int64(resolution))\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\treturn err, 0, 0\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\tv_.Timestep = int(timestep)\n\t\t\t\t}\n\t\t\t}","new_string":"\t\t// Resample archived data to reduce data points to the requested resolution,\n\t\t\t// improving transfer performance and client-side rendering.\n\t\t\tresampleFn, rfErr := resampler.GetResampler(resampleAlgo)\n\t\t\tif rfErr != nil {\n\t\t\t\treturn rfErr, 0, 0\n\t\t\t}\n\t\t\tfor _, v := range jd {\n\t\t\t\tfor _, v_ := range v {\n\t\t\t\t\ttimestep := int64(0)\n\t\t\t\t\tfor i := 0; i < len(v_.Series); i += 1 {\n\t\t\t\t\t\tv_.Series[i].Data, timestep, err = resampleFn(v_.Series[i].Data, int64(v_.Timestep), int64(resolution))\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\treturn err, 0, 0\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\tv_.Timestep = int(timestep)\n\t\t\t\t}\n\t\t\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":480,"cache_read_input_tokens":84671,"output_tokens":538,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":480,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZD27QXV8gtY22YvfT15Q","type":"assistant","uuid":"37066a58-e11e-4416-aa57-5cf19aa276c3","timestamp":"2026-03-19T19:50:31.972Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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+{"parentUuid":"37066a58-e11e-4416-aa57-5cf19aa276c3","isSidechain":false,"promptId":"1c46e1b2-ade5-44be-90d9-e93109c02833","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KZKmFiKVagLoMj12yWqQKF","type":"tool_result","content":"The file /Users/jan/tmp/cc-backend/internal/metricdispatch/dataLoader.go has been updated successfully."}]},"uuid":"a56ab674-4b0d-413d-98b0-1bb373e8dac3","timestamp":"2026-03-19T19:50:31.999Z","toolUseResult":{"filePath":"/Users/jan/tmp/cc-backend/internal/metricdispatch/dataLoader.go","oldString":"\t\t// Resample archived data using Largest Triangle Three Bucket algorithm to reduce data points\n\t\t\t// to the requested resolution, improving transfer performance and client-side rendering.\n\t\t\tfor _, v := range jd {\n\t\t\t\tfor _, v_ := range v {\n\t\t\t\t\ttimestep := int64(0)\n\t\t\t\t\tfor i := 0; i < len(v_.Series); i += 1 {\n\t\t\t\t\t\tv_.Series[i].Data, timestep, err = resampler.LargestTriangleThreeBucket(v_.Series[i].Data, int64(v_.Timestep), int64(resolution))\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\treturn err, 0, 0\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\tv_.Timestep = int(timestep)\n\t\t\t\t}\n\t\t\t}","newString":"\t\t// Resample archived data to reduce data points to the requested resolution,\n\t\t\t// improving transfer performance and client-side rendering.\n\t\t\tresampleFn, rfErr := resampler.GetResampler(resampleAlgo)\n\t\t\tif rfErr != nil {\n\t\t\t\treturn rfErr, 0, 0\n\t\t\t}\n\t\t\tfor _, v := range jd {\n\t\t\t\tfor _, v_ := range v {\n\t\t\t\t\ttimestep := int64(0)\n\t\t\t\t\tfor i := 0; i < len(v_.Series); i += 1 {\n\t\t\t\t\t\tv_.Series[i].Data, timestep, err = resampleFn(v_.Series[i].Data, int64(v_.Timestep), int64(resolution))\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\treturn err, 0, 0\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\tv_.Timestep = int(timestep)\n\t\t\t\t}\n\t\t\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricdispatch provides a unified interface for loading and caching job metric data.\n//\n// This package serves as a central dispatcher that routes metric data requests to the appropriate\n// backend based on job state. For running jobs, data is fetched from the metric store (e.g., cc-metric-store).\n// For completed jobs, data is retrieved from the file-based job archive.\n//\n// # Key Features\n//\n//   - Automatic backend selection based on job state (running vs. archived)\n//   - LRU cache for performance optimization (128 MB default cache size)\n//   - Data resampling using Largest Triangle Three Bucket algorithm for archived data\n//   - Automatic statistics series generation for jobs with many nodes\n//   - Support for scoped metrics (node, socket, accelerator, core)\n//\n// # Cache Behavior\n//\n// Cached data has different TTL (time-to-live) values depending on job state:\n//   - Running jobs: 2 minutes (data changes frequently)\n//   - Completed jobs: 5 hours (data is static)\n//\n// The cache key is based on job ID, state, requested metrics, scopes, and resolution.\n//\n// # Usage\n//\n// The primary entry point is LoadData, which automatically handles both running and archived jobs:\n//\n//\tjobData, err := metricdispatch.LoadData(job, metrics, scopes, ctx, resolution)\n//\tif err != nil {\n//\t    // Handle error\n//\t}\n//\n// For statistics only, use LoadJobStats, LoadScopedJobStats, or LoadAverages depending on the required format.\npackage metricdispatch\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"math\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// cache is an LRU cache with 128 MB capacity for storing loaded job metric data.\n// The cache reduces load on both the metric store and archive backends.\nvar cache *lrucache.Cache = lrucache.New(128 * 1024 * 1024)\n\n// cacheKey generates a unique cache key for a job's metric data based on job ID, state,\n// requested metrics, scopes, and resolution. Duration and StartTime are intentionally excluded\n// because job.ID is more unique and the cache TTL ensures entries don't persist indefinitely.\nfunc cacheKey(\n\tjob *schema.Job,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tresolution int,\n\tresampleAlgo string,\n) string {\n\treturn fmt.Sprintf(\"%d(%s):[%v],[%v]-%d-%s\",\n\t\t*job.ID, job.State, metrics, scopes, resolution, resampleAlgo)\n}\n\n// LoadData retrieves metric data for a job from the appropriate backend (memory store for running jobs,\n// archive for completed jobs) and applies caching, resampling, and statistics generation as needed.\n//\n// For running jobs or when archive is disabled, data is fetched from the metric store.\n// For completed archived jobs, data is loaded from the job archive and resampled if needed.\n//\n// Parameters:\n//   - job: The job for which to load metric data\n//   - metrics: List of metric names to load (nil loads all metrics for the cluster)\n//   - scopes: Metric scopes to include (nil defaults to node scope)\n//   - ctx: Context for cancellation and timeouts\n//   - resolution: Target number of data points for resampling (only applies to archived data)\n//\n// Returns the loaded job data and any error encountered. For partial errors (some metrics failed),\n// the function returns the successfully loaded data with a warning logged.\nfunc LoadData(job *schema.Job,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tctx context.Context,\n\tresolution int,\n\tresampleAlgo string,\n) (schema.JobData, error) {\n\tdata := cache.Get(cacheKey(job, metrics, scopes, resolution, resampleAlgo), func() (_ any, ttl time.Duration, size int) {\n\t\tvar jd schema.JobData\n\t\tvar err error\n\n\t\tif job.State == schema.JobStateRunning ||\n\t\t\tjob.MonitoringStatus == schema.MonitoringStatusRunningOrArchiving {\n\n\t\t\tms, err := GetMetricDataRepo(job.Cluster, job.SubCluster)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\t\t\tjob.Cluster, job.SubCluster, err.Error())\n\t\t\t\treturn err, 0, 0\n\t\t\t}\n\n\t\t\tif scopes == nil {\n\t\t\t\tscopes = append(scopes, schema.MetricScopeNode)\n\t\t\t}\n\n\t\t\tif metrics == nil {\n\t\t\t\tcluster := archive.GetCluster(job.Cluster)\n\t\t\t\tfor _, mc := range cluster.MetricConfig {\n\t\t\t\t\tmetrics = append(metrics, mc.Name)\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tjd, err = ms.LoadData(job, metrics, scopes, ctx, resolution)\n\t\t\tif err != nil {\n\t\t\t\tif len(jd) != 0 {\n\t\t\t\t\tcclog.Warnf(\"partial error loading metrics from store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\t\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tcclog.Warnf(\"failed to load job data from metric store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\t\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\t\t\t\treturn err, 0, 0\n\t\t\t\t}\n\t\t\t}\n\t\t\tsize = jd.Size()\n\t\t} else {\n\t\t\tvar jdTemp schema.JobData\n\t\t\tjdTemp, err = archive.GetHandle().LoadJobData(job)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Warnf(\"failed to load job data from archive for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\t\t\treturn err, 0, 0\n\t\t\t}\n\n\t\t\tjd = deepCopy(jdTemp)\n\n\t\t\t// Resample archived data using Largest Triangle Three Bucket algorithm to reduce data points\n\t\t\t// to the requested resolution, improving transfer performance and client-side rendering.\n\t\t\tfor _, v := range jd {\n\t\t\t\tfor _, v_ := range v {\n\t\t\t\t\ttimestep := int64(0)\n\t\t\t\t\tfor i := 0; i < len(v_.Series); i += 1 {\n\t\t\t\t\t\tv_.Series[i].Data, timestep, err = resampler.LargestTriangleThreeBucket(v_.Series[i].Data, int64(v_.Timestep), int64(resolution))\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\treturn err, 0, 0\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\tv_.Timestep = int(timestep)\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Filter job data to only include requested metrics and scopes, avoiding unnecessary data transfer.\n\t\t\tif metrics != nil || scopes != nil {\n\t\t\t\tif metrics == nil {\n\t\t\t\t\tmetrics = make([]string, 0, len(jd))\n\t\t\t\t\tfor k := range jd {\n\t\t\t\t\t\tmetrics = append(metrics, k)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\tres := schema.JobData{}\n\t\t\t\tfor _, metric := range metrics {\n\t\t\t\t\tif perscope, ok := jd[metric]; ok {\n\t\t\t\t\t\tif len(perscope) > 1 {\n\t\t\t\t\t\t\tsubset := make(map[schema.MetricScope]*schema.JobMetric)\n\t\t\t\t\t\t\tfor _, scope := range scopes {\n\t\t\t\t\t\t\t\tif jm, ok := perscope[scope]; ok {\n\t\t\t\t\t\t\t\t\tsubset[scope] = jm\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\tif len(subset) > 0 {\n\t\t\t\t\t\t\t\tperscope = subset\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tres[metric] = perscope\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tjd = res\n\t\t\t}\n\t\t\tsize = jd.Size()\n\t\t}\n\n\t\tttl = 5 * time.Hour\n\t\tif job.State == schema.JobStateRunning {\n\t\t\tttl = 2 * time.Minute\n\t\t}\n\n\t\t// Generate statistics series for jobs with many nodes to enable min/median/max graphs\n\t\t// instead of overwhelming the UI with individual node lines. Note that newly calculated\n\t\t// statistics use min/median/max, while archived statistics may use min/mean/max.\n\t\tconst maxSeriesSize int = 8\n\t\tfor _, scopes := range jd {\n\t\t\tfor _, jm := range scopes {\n\t\t\t\tif jm.StatisticsSeries != nil || len(jm.Series) < maxSeriesSize {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tjm.AddStatisticsSeries()\n\t\t\t}\n\t\t}\n\n\t\tnodeScopeRequested := false\n\t\tfor _, scope := range scopes {\n\t\t\tif scope == schema.MetricScopeNode {\n\t\t\t\tnodeScopeRequested = true\n\t\t\t}\n\t\t}\n\n\t\tif nodeScopeRequested {\n\t\t\tjd.AddNodeScope(\"flops_any\")\n\t\t\tjd.AddNodeScope(\"mem_bw\")\n\t\t}\n\n\t\t// Round Resulting Stat Values\n\t\tjd.RoundMetricStats()\n\n\t\treturn jd, ttl, size\n\t})\n\n\tif err, ok := data.(error); ok {\n\t\tcclog.Errorf(\"error in cached dataset for job %d: %s\", job.JobID, err.Error())\n\t\treturn nil, err\n\t}\n\n\treturn data.(schema.JobData), nil\n}\n\n// LoadAverages computes average values for the specified metrics across all nodes of a job.\n// For running jobs, it loads statistics from the metric store. For completed jobs, it uses\n// the pre-calculated averages from the job archive. The results are appended to the data slice.\nfunc LoadAverages(\n\tjob *schema.Job,\n\tmetrics []string,\n\tdata [][]schema.Float,\n\tctx context.Context,\n) error {\n\tif job.State != schema.JobStateRunning {\n\t\treturn archive.LoadAveragesFromArchive(job, metrics, data) // #166 change also here?\n\t}\n\n\tms, err := GetMetricDataRepo(job.Cluster, job.SubCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\tjob.Cluster, job.SubCluster, err.Error())\n\t\treturn err\n\t}\n\n\tstats, err := ms.LoadStats(job, metrics, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"failed to load statistics from metric store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\treturn err\n\t}\n\n\tfor i, m := range metrics {\n\t\tnodes, ok := stats[m]\n\t\tif !ok {\n\t\t\tdata[i] = append(data[i], schema.NaN)\n\t\t\tcontinue\n\t\t}\n\n\t\tsum := 0.0\n\t\tfor _, node := range nodes {\n\t\t\tsum += node.Avg\n\t\t}\n\t\tdata[i] = append(data[i], schema.Float(sum))\n\t}\n\n\treturn nil\n}\n\n// LoadScopedJobStats retrieves job statistics organized by metric scope (node, socket, core, accelerator).\n// For running jobs, statistics are computed from the metric store. For completed jobs, pre-calculated\n// statistics are loaded from the job archive.\nfunc LoadScopedJobStats(\n\tjob *schema.Job,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tctx context.Context,\n) (schema.ScopedJobStats, error) {\n\tif job.State != schema.JobStateRunning {\n\t\treturn archive.LoadScopedStatsFromArchive(job, metrics, scopes)\n\t}\n\n\tms, err := GetMetricDataRepo(job.Cluster, job.SubCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\tjob.Cluster, job.SubCluster, err.Error())\n\t\treturn nil, err\n\t}\n\n\tscopedStats, err := ms.LoadScopedStats(job, metrics, scopes, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"failed to load scoped statistics from metric store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\treturn nil, err\n\t}\n\n\t// Round Resulting Stat Values\n\tscopedStats.RoundScopedMetricStats()\n\n\treturn scopedStats, nil\n}\n\n// LoadJobStats retrieves aggregated statistics (min/avg/max) for each requested metric across all job nodes.\n// For running jobs, statistics are computed from the metric store. For completed jobs, pre-calculated\n// statistics are loaded from the job archive.\nfunc LoadJobStats(\n\tjob *schema.Job,\n\tmetrics []string,\n\tctx context.Context,\n) (map[string]schema.MetricStatistics, error) {\n\tif job.State != schema.JobStateRunning {\n\t\treturn archive.LoadStatsFromArchive(job, metrics)\n\t}\n\n\tms, err := GetMetricDataRepo(job.Cluster, job.SubCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\tjob.Cluster, job.SubCluster, err.Error())\n\t\treturn nil, err\n\t}\n\n\tdata := make(map[string]schema.MetricStatistics, len(metrics))\n\n\tstats, err := ms.LoadStats(job, metrics, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"failed to load statistics from metric store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\treturn data, err\n\t}\n\n\tfor _, m := range metrics {\n\t\tsum, avg, min, max := 0.0, 0.0, 0.0, 0.0\n\t\tnodes, ok := stats[m]\n\t\tif !ok {\n\t\t\tdata[m] = schema.MetricStatistics{Min: min, Avg: avg, Max: max}\n\t\t\tcontinue\n\t\t}\n\n\t\tfor _, node := range nodes {\n\t\t\tsum += node.Avg\n\t\t\tmin = math.Min(min, node.Min)\n\t\t\tmax = math.Max(max, node.Max)\n\t\t}\n\n\t\tdata[m] = schema.MetricStatistics{\n\t\t\tAvg: (math.Round((sum/float64(job.NumNodes))*100) / 100),\n\t\t\tMin: (math.Round(min*100) / 100),\n\t\t\tMax: (math.Round(max*100) / 100),\n\t\t}\n\t}\n\n\treturn data, nil\n}\n\n// LoadNodeData retrieves metric data for specific nodes in a cluster within a time range.\n// This is used for node monitoring views and system status pages. Data is always fetched from\n// the metric store (not the archive) since it's for current/recent node status monitoring.\n//\n// Returns a nested map structure: node -> metric -> scoped data.\n// FIXME: Add support for subcluster specific cc-metric-stores\nfunc LoadNodeData(\n\tcluster string,\n\tmetrics, nodes []string,\n\tscopes []schema.MetricScope,\n\tfrom, to time.Time,\n\tctx context.Context,\n) (map[string]map[string][]*schema.JobMetric, error) {\n\tif metrics == nil {\n\t\tfor _, m := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, m.Name)\n\t\t}\n\t}\n\n\tms, err := GetMetricDataRepo(cluster, \"\")\n\tif err != nil {\n\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s: %s\",\n\t\t\tcluster, err.Error())\n\t\treturn nil, err\n\t}\n\n\tdata, err := ms.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)\n\tif err != nil {\n\t\tif len(data) != 0 {\n\t\t\tcclog.Warnf(\"partial error loading node data from metric store for cluster %s: %s\", cluster, err.Error())\n\t\t} else {\n\t\t\tcclog.Warnf(\"failed to load node data from metric store for cluster %s: %s\", cluster, err.Error())\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\tif data == nil {\n\t\treturn nil, fmt.Errorf(\"metric store for cluster '%s' does not support node data queries\", cluster)\n\t}\n\n\treturn data, nil\n}\n\n// LoadNodeListData retrieves time-series metric data for multiple nodes within a time range,\n// with optional resampling and automatic statistics generation for large datasets.\n// This is used for comparing multiple nodes or displaying node status over time.\n//\n// Returns a map of node names to their job-like metric data structures.\nfunc LoadNodeListData(\n\tcluster, subCluster string,\n\tnodes []string,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tresolution int,\n\tfrom, to time.Time,\n\tctx context.Context,\n) (map[string]schema.JobData, error) {\n\tif metrics == nil {\n\t\tfor _, m := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, m.Name)\n\t\t}\n\t}\n\n\tms, err := GetMetricDataRepo(cluster, subCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\tcluster, subCluster, err.Error())\n\t\treturn nil, err\n\t}\n\n\tdata, err := ms.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, resolution, from, to, ctx)\n\tif err != nil {\n\t\tif len(data) != 0 {\n\t\t\tcclog.Warnf(\"partial error loading node list data from metric store for cluster %s, subcluster %s: %s\",\n\t\t\t\tcluster, subCluster, err.Error())\n\t\t} else {\n\t\t\tcclog.Warnf(\"failed to load node list data from metric store for cluster %s, subcluster %s: %s\",\n\t\t\t\tcluster, subCluster, err.Error())\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\t// Generate statistics series for datasets with many series to improve visualization performance.\n\t// Statistics are calculated as min/median/max.\n\tconst maxSeriesSize int = 8\n\tfor _, jd := range data {\n\t\tfor _, scopes := range jd {\n\t\t\tfor _, jm := range scopes {\n\t\t\t\tif jm.StatisticsSeries != nil || len(jm.Series) < maxSeriesSize {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tjm.AddStatisticsSeries()\n\t\t\t}\n\t\t}\n\t}\n\n\tif data == nil {\n\t\treturn nil, fmt.Errorf(\"metric store for cluster '%s' does not support node list queries\", cluster)\n\t}\n\n\treturn data, nil\n}\n\n// deepCopy creates a deep copy of JobData to prevent cache corruption when modifying\n// archived data (e.g., during resampling). This ensures the cached archive data remains\n// immutable while allowing per-request transformations.\nfunc deepCopy(source schema.JobData) schema.JobData {\n\tresult := make(schema.JobData, len(source))\n\n\tfor metricName, scopeMap := range source {\n\t\tresult[metricName] = make(map[schema.MetricScope]*schema.JobMetric, len(scopeMap))\n\n\t\tfor scope, jobMetric := range scopeMap {\n\t\t\tresult[metricName][scope] = copyJobMetric(jobMetric)\n\t\t}\n\t}\n\n\treturn result\n}\n\nfunc copyJobMetric(src *schema.JobMetric) *schema.JobMetric {\n\tdst := &schema.JobMetric{\n\t\tTimestep: src.Timestep,\n\t\tUnit:     src.Unit,\n\t\tSeries:   make([]schema.Series, len(src.Series)),\n\t}\n\n\tfor i := range src.Series {\n\t\tdst.Series[i] = copySeries(&src.Series[i])\n\t}\n\n\tif src.StatisticsSeries != nil {\n\t\tdst.StatisticsSeries = copyStatisticsSeries(src.StatisticsSeries)\n\t}\n\n\treturn dst\n}\n\nfunc copySeries(src *schema.Series) schema.Series {\n\tdst := schema.Series{\n\t\tHostname:   src.Hostname,\n\t\tID:         src.ID,\n\t\tStatistics: src.Statistics,\n\t\tData:       make([]schema.Float, len(src.Data)),\n\t}\n\n\tcopy(dst.Data, src.Data)\n\treturn dst\n}\n\nfunc copyStatisticsSeries(src *schema.StatsSeries) *schema.StatsSeries {\n\tdst := &schema.StatsSeries{\n\t\tMin:    make([]schema.Float, len(src.Min)),\n\t\tMean:   make([]schema.Float, len(src.Mean)),\n\t\tMedian: make([]schema.Float, len(src.Median)),\n\t\tMax:    make([]schema.Float, len(src.Max)),\n\t}\n\n\tcopy(dst.Min, src.Min)\n\tcopy(dst.Mean, src.Mean)\n\tcopy(dst.Median, src.Median)\n\tcopy(dst.Max, src.Max)\n\n\tif len(src.Percentiles) > 0 {\n\t\tdst.Percentiles = make(map[int][]schema.Float, len(src.Percentiles))\n\t\tfor percentile, values := range src.Percentiles {\n\t\t\tdst.Percentiles[percentile] = make([]schema.Float, len(values))\n\t\t\tcopy(dst.Percentiles[percentile], values)\n\t\t}\n\t}\n\n\treturn dst\n}\n","structuredPatch":[{"oldStart":138,"oldLines":13,"newStart":138,"newLines":17,"lines":[" ","       jd = deepCopy(jdTemp)"," ","-      // Resample archived data using Largest Triangle Three Bucket algorithm to reduce data points","-      // to the requested resolution, improving transfer performance and client-side rendering.","+      // Resample archived data to reduce data points to the requested resolution,","+      // improving transfer performance and client-side rendering.","+      resampleFn, rfErr := resampler.GetResampler(resampleAlgo)","+      if rfErr != nil {","+        return rfErr, 0, 0","+      }","       for _, v := range jd {","         for _, v_ := range v {","           timestep := int64(0)","           for i := 0; i < len(v_.Series); i += 1 {","-            v_.Series[i].Data, timestep, err = resampler.LargestTriangleThreeBucket(v_.Series[i].Data, int64(v_.Timestep), int64(resolution))","+            v_.Series[i].Data, timestep, err = resampleFn(v_.Series[i].Data, int64(v_.Timestep), int64(resolution))","             if err != nil {","               return err, 0, 0","             }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"37066a58-e11e-4416-aa57-5cf19aa276c3","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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+{"parentUuid":"e8825136-6ef3-48fb-a5ea-b566adc518e5","isSidechain":false,"promptId":"1c46e1b2-ade5-44be-90d9-e93109c02833","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SmFgv4z76Q19Lvt2e1RQwa","type":"tool_result","content":"   300→\t\tresolution = max(resolution, mc.Timestep)\n   301→\t}\n   302→\n   303→\tif r.URL.Query().Get(\"all-metrics\") == \"true\" {\n   304→\t\tdata, err = metricdispatch.LoadData(job, nil, scopes, r.Context(), resolution)\n   305→\t\tif err != nil {\n   306→\t\t\tcclog.Warnf(\"REST: error while loading all-metrics job data for JobID %d on %s\", job.JobID, job.Cluster)\n   307→\t\t\treturn"}]},"uuid":"7777df74-e3e3-466e-aa11-9f8b02a6ef52","timestamp":"2026-03-19T19:50:43.206Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/internal/api/job.go","content":"\t\tresolution = max(resolution, mc.Timestep)\n\t}\n\n\tif r.URL.Query().Get(\"all-metrics\") == \"true\" {\n\t\tdata, err = metricdispatch.LoadData(job, nil, scopes, r.Context(), resolution)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"REST: error while loading all-metrics job data for JobID %d on %s\", job.JobID, job.Cluster)\n\t\t\treturn","numLines":8,"startLine":300,"totalLines":1155}},"sourceToolAssistantUUID":"e8825136-6ef3-48fb-a5ea-b566adc518e5","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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+{"parentUuid":"3f214149-ac14-4b7c-87e5-cccf980f1a9f","isSidechain":false,"promptId":"1c46e1b2-ade5-44be-90d9-e93109c02833","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011KLuCk7pbT7YMMvGngCuxS","type":"tool_result","content":"   396→\tfor _, mc := range metricConfigs {\n   397→\t\tresolution = max(resolution, mc.Timestep)\n   398→\t}\n   399→\n   400→\tdata, err := metricdispatch.LoadData(job, metrics, scopes, r.Context(), resolution)\n   401→\tif err != nil {\n   402→\t\tcclog.Warnf(\"REST: error while loading job data for JobID %d on %s\", job.JobID, job.Cluster)\n   403→\t\treturn"}]},"uuid":"f10b680c-952c-4f9c-9b14-18894366c279","timestamp":"2026-03-19T19:50:43.478Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/internal/api/job.go","content":"\tfor _, mc := range metricConfigs {\n\t\tresolution = max(resolution, mc.Timestep)\n\t}\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, r.Context(), resolution)\n\tif err != nil {\n\t\tcclog.Warnf(\"REST: error while loading job data for JobID %d on %s\", job.JobID, job.Cluster)\n\t\treturn","numLines":8,"startLine":396,"totalLines":1155}},"sourceToolAssistantUUID":"3f214149-ac14-4b7c-87e5-cccf980f1a9f","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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+{"parentUuid":"244f3aa8-513f-4ec9-a616-a0243519c008","isSidechain":false,"promptId":"1c46e1b2-ade5-44be-90d9-e93109c02833","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014D1VMGJsmwPHAiunZXYaS5","type":"tool_result","content":"The file /Users/jan/tmp/cc-backend/internal/api/api_test.go has been updated successfully."}]},"uuid":"40d41692-201f-4d05-bfe0-892390bbab27","timestamp":"2026-03-19T19:50:49.093Z","toolUseResult":{"filePath":"/Users/jan/tmp/cc-backend/internal/api/api_test.go","oldString":"data, err := metricdispatch.LoadData(stoppedJob, []string{\"load_one\"}, []schema.MetricScope{schema.MetricScopeNode}, context.Background(), 60)","newString":"data, err := metricdispatch.LoadData(stoppedJob, []string{\"load_one\"}, []schema.MetricScope{schema.MetricScopeNode}, context.Background(), 60, \"\")","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage api_test\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"net/http\"\n\t\"net/http/httptest\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"reflect\"\n\t\"strings\"\n\t\"testing\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/api\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\tccconf \"github.com/ClusterCockpit/cc-lib/v2/ccConfig\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/go-chi/chi/v5\"\n\n\t_ \"github.com/mattn/go-sqlite3\"\n)\n\nfunc setup(t *testing.T) *api.RestAPI {\n\trepository.ResetConnection()\n\n\tconst testconfig = `{\n\t\"main\": {\n\t   \"addr\":            \"0.0.0.0:8080\",\n\t   \"validate\": false,\n     \"api-allowed-ips\": [\n       \"*\"\n      ]\n  },\n  \"metric-store\": {\n    \"checkpoints\": {\n      \"interval\": \"12h\"\n    },\n    \"retention-in-memory\": \"48h\",\n    \"memory-cap\": 100\n  },\n\t\"archive\": {\n\t\t \"kind\": \"file\",\n\t\t \"path\": \"./var/job-archive\"\n\t},\n\t\"auth\": {\n     \"jwts\": {\n     \"max-age\": \"2m\"\n  }\n  }\n}`\n\tconst testclusterJSON = `{\n        \"name\": \"testcluster\",\n\t\t\"subClusters\": [\n\t\t\t{\n\t\t\t\t\"name\": \"sc1\",\n\t\t\t\t\"nodes\": \"host123,host124,host125\",\n\t\t\t\t\"processorType\": \"Intel Core i7-4770\",\n\t\t\t\t\"socketsPerNode\": 1,\n\t\t\t\t\"coresPerSocket\": 4,\n\t\t\t\t\"threadsPerCore\": 2,\n                \"flopRateScalar\": {\n                  \"unit\": {\n                    \"prefix\": \"G\",\n                    \"base\": \"F/s\"\n                  },\n                  \"value\": 14\n                },\n                \"flopRateSimd\": {\n                  \"unit\": {\n                    \"prefix\": \"G\",\n                    \"base\": \"F/s\"\n                  },\n                  \"value\": 112\n                },\n                \"memoryBandwidth\": {\n                  \"unit\": {\n                    \"prefix\": \"G\",\n                    \"base\": \"B/s\"\n                  },\n                  \"value\": 24\n                },\n                \"numberOfNodes\": 70,\n\t\t\t\t\"topology\": {\n\t\t\t\t\t\"node\": [0, 1, 2, 3, 4, 5, 6, 7],\n\t\t\t\t\t\"socket\": [[0, 1, 2, 3, 4, 5, 6, 7]],\n\t\t\t\t\t\"memoryDomain\": [[0, 1, 2, 3, 4, 5, 6, 7]],\n\t\t\t\t\t\"die\": [[0, 1, 2, 3, 4, 5, 6, 7]],\n\t\t\t\t\t\"core\": [[0], [1], [2], [3], [4], [5], [6], [7]]\n\t\t\t\t}\n\t\t\t}\n\t\t],\n\t\t\"metricConfig\": [\n\t\t\t{\n\t\t\t\t\"name\": \"load_one\",\n\t\t\t    \"unit\": { \"base\": \"\"},\n\t\t\t\t\"scope\": \"node\",\n\t\t\t\t\"timestep\": 60,\n                \"aggregation\": \"avg\",\n\t\t\t\t\"peak\": 8,\n\t\t\t\t\"normal\": 0,\n\t\t\t\t\"caution\": 0,\n\t\t\t\t\"alert\": 0\n\t\t\t}\n\t\t]\n\t}`\n\n\tcclog.Init(\"info\", true)\n\ttmpdir := t.TempDir()\n\tjobarchive := filepath.Join(tmpdir, \"job-archive\")\n\tif err := os.Mkdir(jobarchive, 0o777); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tif err := os.WriteFile(filepath.Join(jobarchive, \"version.txt\"), fmt.Appendf(nil, \"%d\", 3), 0o666); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tif err := os.Mkdir(filepath.Join(jobarchive, \"testcluster\"), 0o777); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tif err := os.WriteFile(filepath.Join(jobarchive, \"testcluster\", \"cluster.json\"), []byte(testclusterJSON), 0o666); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tdbfilepath := filepath.Join(tmpdir, \"test.db\")\n\terr := repository.MigrateDB(dbfilepath)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tcfgFilePath := filepath.Join(tmpdir, \"config.json\")\n\tif err := os.WriteFile(cfgFilePath, []byte(testconfig), 0o666); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tccconf.Init(cfgFilePath)\n\tmetricstore.MetricStoreHandle = &metricstore.InternalMetricStore{}\n\n\t// Load and check main configuration\n\tif cfg := ccconf.GetPackageConfig(\"main\"); cfg != nil {\n\t\tconfig.Init(cfg)\n\t} else {\n\t\tcclog.Abort(\"Main configuration must be present\")\n\t}\n\tarchiveCfg := fmt.Sprintf(\"{\\\"kind\\\": \\\"file\\\",\\\"path\\\": \\\"%s\\\"}\", jobarchive)\n\n\trepository.Connect(dbfilepath)\n\n\tif err := archive.Init(json.RawMessage(archiveCfg)); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\t// metricstore initialization removed - it's initialized via callback in tests\n\n\tarchiver.Start(repository.GetJobRepository(), context.Background())\n\n\tif cfg := ccconf.GetPackageConfig(\"auth\"); cfg != nil {\n\t\tauth.Init(&cfg)\n\t} else {\n\t\tcclog.Warn(\"Authentication disabled due to missing configuration\")\n\t\tauth.Init(nil)\n\t}\n\n\tgraph.Init()\n\n\treturn api.New()\n}\n\nfunc cleanup() {\n\tif err := archiver.Shutdown(5 * time.Second); err != nil {\n\t\tcclog.Warnf(\"Archiver shutdown timeout in tests: %v\", err)\n\t}\n}\n\n/*\n* This function starts a job, stops it, and then reads its data from the job-archive.\n* Do not run sub-tests in parallel! Tests should not be run in parallel at all, because\n* at least `setup` modifies global state.\n */\nfunc TestRestApi(t *testing.T) {\n\trestapi := setup(t)\n\tt.Cleanup(cleanup)\n\ttestData := schema.JobData{\n\t\t\"load_one\": map[schema.MetricScope]*schema.JobMetric{\n\t\t\tschema.MetricScopeNode: {\n\t\t\t\tUnit:     schema.Unit{Base: \"load\"},\n\t\t\t\tTimestep: 60,\n\t\t\t\tSeries: []schema.Series{\n\t\t\t\t\t{\n\t\t\t\t\t\tHostname:   \"host123\",\n\t\t\t\t\t\tStatistics: schema.MetricStatistics{Min: 0.1, Avg: 0.2, Max: 0.3},\n\t\t\t\t\t\tData:       []schema.Float{0.1, 0.1, 0.1, 0.2, 0.2, 0.2, 0.3, 0.3, 0.3},\n\t\t\t\t\t},\n\t\t\t\t},\n\t\t\t},\n\t\t},\n\t}\n\n\tmetricstore.TestLoadDataCallback = func(job *schema.Job, metrics []string, scopes []schema.MetricScope, ctx context.Context, resolution int) (schema.JobData, error) {\n\t\treturn testData, nil\n\t}\n\n\tr := chi.NewRouter()\n\trestapi.MountAPIRoutes(r)\n\n\tvar TestJobID int64 = 123\n\tTestClusterName := \"testcluster\"\n\tvar TestStartTime int64 = 123456789\n\n\tconst startJobBody string = `{\n    \"jobId\":            123,\n\t\t\"user\":             \"testuser\",\n\t\t\"project\":          \"testproj\",\n\t\t\"cluster\":          \"testcluster\",\n\t\t\"partition\":        \"default\",\n\t\t\"walltime\":         3600,\n\t\t\"arrayJobId\":       0,\n\t\t\"numNodes\":         1,\n\t\t\"numHwthreads\":     8,\n\t\t\"numAcc\":           0,\n\t\t\"shared\":           \"none\",\n\t\t\"monitoringStatus\": 1,\n\t\t\"smt\":              1,\n\t\t\"resources\": [\n\t\t\t{\n\t\t\t\t\"hostname\": \"host123\",\n\t\t\t\t\"hwthreads\": [0, 1, 2, 3, 4, 5, 6, 7]\n\t\t\t}\n\t\t],\n\t\t\"metaData\":  { \"jobScript\": \"blablabla...\" },\n\t\t\"startTime\": 123456789\n\t}`\n\n\tconst contextUserKey repository.ContextKey = \"user\"\n\tcontextUserValue := &schema.User{\n\t\tUsername:   \"testuser\",\n\t\tProjects:   make([]string, 0),\n\t\tRoles:      []string{\"user\"},\n\t\tAuthType:   0,\n\t\tAuthSource: 2,\n\t}\n\n\tif ok := t.Run(\"StartJob\", func(t *testing.T) {\n\t\treq := httptest.NewRequest(http.MethodPost, \"/jobs/start_job/\", bytes.NewBuffer([]byte(startJobBody)))\n\t\trecorder := httptest.NewRecorder()\n\n\t\tctx := context.WithValue(req.Context(), contextUserKey, contextUserValue)\n\n\t\tr.ServeHTTP(recorder, req.WithContext(ctx))\n\t\tresponse := recorder.Result()\n\t\tif response.StatusCode != http.StatusCreated {\n\t\t\tt.Fatal(response.Status, recorder.Body.String())\n\t\t}\n\t\t// resolver := graph.GetResolverInstance()\n\t\trestapi.JobRepository.SyncJobs()\n\t\tjob, err := restapi.JobRepository.Find(&TestJobID, &TestClusterName, &TestStartTime)\n\t\tif err != nil {\n\t\t\tt.Fatal(err)\n\t\t}\n\n\t\t// job.Tags, err = resolver.Job().Tags(ctx, job)\n\t\t// if err != nil {\n\t\t// \tt.Fatal(err)\n\t\t// }\n\n\t\tif job.JobID != 123 ||\n\t\t\tjob.User != \"testuser\" ||\n\t\t\tjob.Project != \"testproj\" ||\n\t\t\tjob.Cluster != \"testcluster\" ||\n\t\t\tjob.SubCluster != \"sc1\" ||\n\t\t\tjob.Partition != \"default\" ||\n\t\t\tjob.Walltime != 3600 ||\n\t\t\tjob.ArrayJobID != 0 ||\n\t\t\tjob.NumNodes != 1 ||\n\t\t\tjob.NumHWThreads != 8 ||\n\t\t\tjob.NumAcc != 0 ||\n\t\t\tjob.MonitoringStatus != 1 ||\n\t\t\tjob.SMT != 1 ||\n\t\t\t!reflect.DeepEqual(job.Resources, []*schema.Resource{{Hostname: \"host123\", HWThreads: []int{0, 1, 2, 3, 4, 5, 6, 7}}}) ||\n\t\t\tjob.StartTime != 123456789 {\n\t\t\tt.Fatalf(\"unexpected job properties: %#v\", job)\n\t\t}\n\n\t\t// if len(job.Tags) != 1 || job.Tags[0].Type != \"testTagType\" || job.Tags[0].Name != \"testTagName\" || job.Tags[0].Scope != \"testuser\" {\n\t\t// \tt.Fatalf(\"unexpected tags: %#v\", job.Tags)\n\t\t// }\n\t}); !ok {\n\t\treturn\n\t}\n\n\tconst stopJobBody string = `{\n        \"jobId\":     123,\n\t\t\"startTime\": 123456789,\n\t\t\"cluster\":   \"testcluster\",\n\n\t\t\"jobState\": \"completed\",\n\t\t\"stopTime\": 123457789\n\t}`\n\n\tvar stoppedJob *schema.Job\n\tif ok := t.Run(\"StopJob\", func(t *testing.T) {\n\t\treq := httptest.NewRequest(http.MethodPost, \"/jobs/stop_job/\", bytes.NewBuffer([]byte(stopJobBody)))\n\t\trecorder := httptest.NewRecorder()\n\n\t\tctx := context.WithValue(req.Context(), contextUserKey, contextUserValue)\n\n\t\tr.ServeHTTP(recorder, req.WithContext(ctx))\n\t\tresponse := recorder.Result()\n\t\tif response.StatusCode != http.StatusOK {\n\t\t\tt.Fatal(response.Status, recorder.Body.String())\n\t\t}\n\n\t\t// Archiving happens asynchronously, will be completed in cleanup\n\t\tjob, err := restapi.JobRepository.Find(&TestJobID, &TestClusterName, &TestStartTime)\n\t\tif err != nil {\n\t\t\tt.Fatal(err)\n\t\t}\n\n\t\tif job.State != schema.JobStateCompleted {\n\t\t\tt.Fatal(\"expected job to be completed\")\n\t\t}\n\n\t\tif job.Duration != (123457789 - 123456789) {\n\t\t\tt.Fatalf(\"unexpected job properties: %#v\", job)\n\t\t}\n\n\t\tjob.MetaData, err = restapi.JobRepository.FetchMetadata(job)\n\t\tif err != nil {\n\t\t\tt.Fatal(err)\n\t\t}\n\n\t\tif !reflect.DeepEqual(job.MetaData, map[string]string{\"jobScript\": \"blablabla...\"}) {\n\t\t\tt.Fatalf(\"unexpected job.metaData: %#v\", job.MetaData)\n\t\t}\n\n\t\tstoppedJob = job\n\t}); !ok {\n\t\treturn\n\t}\n\n\tt.Run(\"CheckArchive\", func(t *testing.T) {\n\t\tdata, err := metricdispatch.LoadData(stoppedJob, []string{\"load_one\"}, []schema.MetricScope{schema.MetricScopeNode}, context.Background(), 60)\n\t\tif err != nil {\n\t\t\tt.Fatal(err)\n\t\t}\n\n\t\tif !reflect.DeepEqual(data, testData) {\n\t\t\tt.Fatal(\"unexpected data fetched from archive\")\n\t\t}\n\t})\n\n\tt.Run(\"CheckDoubleStart\", func(t *testing.T) {\n\t\t// Starting a job with the same jobId and cluster should only be allowed if the startTime is far appart!\n\t\tbody := strings.ReplaceAll(startJobBody, `\"startTime\": 123456789`, `\"startTime\": 123456790`)\n\n\t\treq := httptest.NewRequest(http.MethodPost, \"/jobs/start_job/\", bytes.NewBuffer([]byte(body)))\n\t\trecorder := httptest.NewRecorder()\n\n\t\tctx := context.WithValue(req.Context(), contextUserKey, contextUserValue)\n\n\t\tr.ServeHTTP(recorder, req.WithContext(ctx))\n\t\tresponse := recorder.Result()\n\t\tif response.StatusCode != http.StatusUnprocessableEntity {\n\t\t\tt.Fatal(response.Status, recorder.Body.String())\n\t\t}\n\t})\n\n\tconst startJobBodyFailed string = `{\n        \"jobId\":            12345,\n\t\t\"user\":             \"testuser\",\n\t\t\"project\":          \"testproj\",\n\t\t\"cluster\":          \"testcluster\",\n\t\t\"partition\":        \"default\",\n\t\t\"walltime\":         3600,\n\t\t\"numNodes\":         1,\n\t\t\"shared\":        \t\"none\",\n\t\t\"monitoringStatus\": 1,\n\t\t\"smt\":              1,\n\t\t\"resources\": [\n\t\t\t{\n\t\t\t\t\"hostname\": \"host123\"\n\t\t\t}\n\t\t],\n\t\t\"startTime\": 12345678\n\t}`\n\n\tok := t.Run(\"StartJobFailed\", func(t *testing.T) {\n\t\treq := httptest.NewRequest(http.MethodPost, \"/jobs/start_job/\", bytes.NewBuffer([]byte(startJobBodyFailed)))\n\t\trecorder := httptest.NewRecorder()\n\n\t\tctx := context.WithValue(req.Context(), contextUserKey, contextUserValue)\n\n\t\tr.ServeHTTP(recorder, req.WithContext(ctx))\n\t\tresponse := recorder.Result()\n\t\tif response.StatusCode != http.StatusCreated {\n\t\t\tt.Fatal(response.Status, recorder.Body.String())\n\t\t}\n\t})\n\tif !ok {\n\t\tt.Fatal(\"subtest failed\")\n\t}\n\n\ttime.Sleep(1 * time.Second)\n\trestapi.JobRepository.SyncJobs()\n\n\tconst stopJobBodyFailed string = `{\n    \"jobId\":     12345,\n\t\t\"cluster\":   \"testcluster\",\n\n\t\t\"jobState\": \"failed\",\n\t\t\"stopTime\": 12355678\n\t}`\n\n\tok = t.Run(\"StopJobFailed\", func(t *testing.T) {\n\t\treq := httptest.NewRequest(http.MethodPost, \"/jobs/stop_job/\", bytes.NewBuffer([]byte(stopJobBodyFailed)))\n\t\trecorder := httptest.NewRecorder()\n\n\t\tctx := context.WithValue(req.Context(), contextUserKey, contextUserValue)\n\n\t\tr.ServeHTTP(recorder, req.WithContext(ctx))\n\t\tresponse := recorder.Result()\n\t\tif response.StatusCode != http.StatusOK {\n\t\t\tt.Fatal(response.Status, recorder.Body.String())\n\t\t}\n\n\t\t// Archiving happens asynchronously, will be completed in cleanup\n\t\tjobid, cluster := int64(12345), \"testcluster\"\n\t\tjob, err := restapi.JobRepository.Find(&jobid, &cluster, nil)\n\t\tif err != nil {\n\t\t\tt.Fatal(err)\n\t\t}\n\n\t\tif job.State != schema.JobStateFailed {\n\t\t\tt.Fatal(\"expected job to be failed\")\n\t\t}\n\t})\n\tif !ok {\n\t\tt.Fatal(\"subtest failed\")\n\t}\n\n\tt.Run(\"GetUsedNodesNoRunning\", func(t *testing.T) {\n\t\tcontextUserValue := &schema.User{\n\t\t\tUsername:   \"testuser\",\n\t\t\tProjects:   make([]string, 0),\n\t\t\tRoles:      []string{\"api\"},\n\t\t\tAuthType:   0,\n\t\t\tAuthSource: 2,\n\t\t}\n\n\t\treq := httptest.NewRequest(http.MethodGet, \"/jobs/used_nodes?ts=123456790\", nil)\n\t\trecorder := httptest.NewRecorder()\n\n\t\tctx := context.WithValue(req.Context(), contextUserKey, contextUserValue)\n\n\t\tr.ServeHTTP(recorder, req.WithContext(ctx))\n\t\tresponse := recorder.Result()\n\t\tif response.StatusCode != http.StatusOK {\n\t\t\tt.Fatal(response.Status, recorder.Body.String())\n\t\t}\n\n\t\tvar result api.GetUsedNodesAPIResponse\n\t\tif err := json.NewDecoder(response.Body).Decode(&result); err != nil {\n\t\t\tt.Fatal(err)\n\t\t}\n\n\t\tif result.UsedNodes == nil {\n\t\t\tt.Fatal(\"expected usedNodes to be non-nil\")\n\t\t}\n\n\t\tif len(result.UsedNodes) != 0 {\n\t\t\tt.Fatalf(\"expected no used nodes for stopped jobs, got: %v\", result.UsedNodes)\n\t\t}\n\t})\n}\n\n// TestStopJobWithReusedJobId verifies that stopping a recently started job works\n// even when an older job with the same jobId exists in the job table (e.g. with\n// state \"failed\"). This is a regression test for the bug where Find() on the job\n// table would match the old job instead of the new one still in job_cache.\nfunc TestStopJobWithReusedJobId(t *testing.T) {\n\trestapi := setup(t)\n\tt.Cleanup(cleanup)\n\n\ttestData := schema.JobData{\n\t\t\"load_one\": map[schema.MetricScope]*schema.JobMetric{\n\t\t\tschema.MetricScopeNode: {\n\t\t\t\tUnit:     schema.Unit{Base: \"load\"},\n\t\t\t\tTimestep: 60,\n\t\t\t\tSeries: []schema.Series{\n\t\t\t\t\t{\n\t\t\t\t\t\tHostname:   \"host123\",\n\t\t\t\t\t\tStatistics: schema.MetricStatistics{Min: 0.1, Avg: 0.2, Max: 0.3},\n\t\t\t\t\t\tData:       []schema.Float{0.1, 0.1, 0.1, 0.2, 0.2, 0.2, 0.3, 0.3, 0.3},\n\t\t\t\t\t},\n\t\t\t\t},\n\t\t\t},\n\t\t},\n\t}\n\n\tmetricstore.TestLoadDataCallback = func(job *schema.Job, metrics []string, scopes []schema.MetricScope, ctx context.Context, resolution int) (schema.JobData, error) {\n\t\treturn testData, nil\n\t}\n\n\tr := chi.NewRouter()\n\trestapi.MountAPIRoutes(r)\n\n\tconst contextUserKey repository.ContextKey = \"user\"\n\tcontextUserValue := &schema.User{\n\t\tUsername:   \"testuser\",\n\t\tProjects:   make([]string, 0),\n\t\tRoles:      []string{\"user\"},\n\t\tAuthType:   0,\n\t\tAuthSource: 2,\n\t}\n\n\t// Step 1: Start the first job (jobId=999)\n\tconst startJobBody1 string = `{\n\t\t\"jobId\":            999,\n\t\t\"user\":             \"testuser\",\n\t\t\"project\":          \"testproj\",\n\t\t\"cluster\":          \"testcluster\",\n\t\t\"partition\":        \"default\",\n\t\t\"walltime\":         3600,\n\t\t\"numNodes\":         1,\n\t\t\"numHwthreads\":     8,\n\t\t\"numAcc\":           0,\n\t\t\"shared\":           \"none\",\n\t\t\"monitoringStatus\": 1,\n\t\t\"smt\":              1,\n\t\t\"resources\": [{\"hostname\": \"host123\", \"hwthreads\": [0, 1, 2, 3, 4, 5, 6, 7]}],\n\t\t\"startTime\":        200000000\n\t}`\n\n\tif ok := t.Run(\"StartFirstJob\", func(t *testing.T) {\n\t\treq := httptest.NewRequest(http.MethodPost, \"/jobs/start_job/\", bytes.NewBuffer([]byte(startJobBody1)))\n\t\trecorder := httptest.NewRecorder()\n\t\tctx := context.WithValue(req.Context(), contextUserKey, contextUserValue)\n\t\tr.ServeHTTP(recorder, req.WithContext(ctx))\n\t\tif recorder.Result().StatusCode != http.StatusCreated {\n\t\t\tt.Fatal(recorder.Result().Status, recorder.Body.String())\n\t\t}\n\t}); !ok {\n\t\treturn\n\t}\n\n\t// Step 2: Sync to move job from cache to job table, then stop it as \"failed\"\n\ttime.Sleep(1 * time.Second)\n\trestapi.JobRepository.SyncJobs()\n\n\tconst stopJobBody1 string = `{\n\t\t\"jobId\":     999,\n\t\t\"startTime\": 200000000,\n\t\t\"cluster\":   \"testcluster\",\n\t\t\"jobState\":  \"failed\",\n\t\t\"stopTime\":  200001000\n\t}`\n\n\tif ok := t.Run(\"StopFirstJobAsFailed\", func(t *testing.T) {\n\t\treq := httptest.NewRequest(http.MethodPost, \"/jobs/stop_job/\", bytes.NewBuffer([]byte(stopJobBody1)))\n\t\trecorder := httptest.NewRecorder()\n\t\tctx := context.WithValue(req.Context(), contextUserKey, contextUserValue)\n\t\tr.ServeHTTP(recorder, req.WithContext(ctx))\n\t\tif recorder.Result().StatusCode != http.StatusOK {\n\t\t\tt.Fatal(recorder.Result().Status, recorder.Body.String())\n\t\t}\n\n\t\tjobid, cluster := int64(999), \"testcluster\"\n\t\tjob, err := restapi.JobRepository.Find(&jobid, &cluster, nil)\n\t\tif err != nil {\n\t\t\tt.Fatal(err)\n\t\t}\n\t\tif job.State != schema.JobStateFailed {\n\t\t\tt.Fatalf(\"expected first job to be failed, got: %s\", job.State)\n\t\t}\n\t}); !ok {\n\t\treturn\n\t}\n\n\t// Wait for archiving to complete\n\ttime.Sleep(1 * time.Second)\n\n\t// Step 3: Start a NEW job with the same jobId=999 but different startTime.\n\t// This job will sit in job_cache (not yet synced).\n\tconst startJobBody2 string = `{\n\t\t\"jobId\":            999,\n\t\t\"user\":             \"testuser\",\n\t\t\"project\":          \"testproj\",\n\t\t\"cluster\":          \"testcluster\",\n\t\t\"partition\":        \"default\",\n\t\t\"walltime\":         3600,\n\t\t\"numNodes\":         1,\n\t\t\"numHwthreads\":     8,\n\t\t\"numAcc\":           0,\n\t\t\"shared\":           \"none\",\n\t\t\"monitoringStatus\": 1,\n\t\t\"smt\":              1,\n\t\t\"resources\": [{\"hostname\": \"host123\", \"hwthreads\": [0, 1, 2, 3, 4, 5, 6, 7]}],\n\t\t\"startTime\":        300000000\n\t}`\n\n\tif ok := t.Run(\"StartSecondJob\", func(t *testing.T) {\n\t\treq := httptest.NewRequest(http.MethodPost, \"/jobs/start_job/\", bytes.NewBuffer([]byte(startJobBody2)))\n\t\trecorder := httptest.NewRecorder()\n\t\tctx := context.WithValue(req.Context(), contextUserKey, contextUserValue)\n\t\tr.ServeHTTP(recorder, req.WithContext(ctx))\n\t\tif recorder.Result().StatusCode != http.StatusCreated {\n\t\t\tt.Fatal(recorder.Result().Status, recorder.Body.String())\n\t\t}\n\t}); !ok {\n\t\treturn\n\t}\n\n\t// Step 4: Stop the second job WITHOUT syncing first.\n\t// Before the fix, this would fail because Find() on the job table would\n\t// match the old failed job (jobId=999) and reject with \"already stopped\".\n\tconst stopJobBody2 string = `{\n\t\t\"jobId\":     999,\n\t\t\"startTime\": 300000000,\n\t\t\"cluster\":   \"testcluster\",\n\t\t\"jobState\":  \"completed\",\n\t\t\"stopTime\":  300001000\n\t}`\n\n\tt.Run(\"StopSecondJobBeforeSync\", func(t *testing.T) {\n\t\treq := httptest.NewRequest(http.MethodPost, \"/jobs/stop_job/\", bytes.NewBuffer([]byte(stopJobBody2)))\n\t\trecorder := httptest.NewRecorder()\n\t\tctx := context.WithValue(req.Context(), contextUserKey, contextUserValue)\n\t\tr.ServeHTTP(recorder, req.WithContext(ctx))\n\t\tif recorder.Result().StatusCode != http.StatusOK {\n\t\t\tt.Fatalf(\"expected stop to succeed for cached job, got: %s %s\",\n\t\t\t\trecorder.Result().Status, recorder.Body.String())\n\t\t}\n\t})\n}\n","structuredPatch":[{"oldStart":355,"oldLines":7,"newStart":355,"newLines":7,"lines":["   }"," ","   t.Run(\"CheckArchive\", func(t *testing.T) {","-    data, err := metricdispatch.LoadData(stoppedJob, []string{\"load_one\"}, []schema.MetricScope{schema.MetricScopeNode}, context.Background(), 60)","+    data, err := metricdispatch.LoadData(stoppedJob, []string{\"load_one\"}, []schema.MetricScope{schema.MetricScopeNode}, context.Background(), 60, \"\")","     if err != nil {","       t.Fatal(err)","     }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"244f3aa8-513f-4ec9-a616-a0243519c008","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"bufio\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"net/http\"\n\t\"strconv\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/go-chi/chi/v5\"\n)\n\nconst (\n\t// secondsPerDay is the number of seconds in 24 hours.\n\t// Used for duplicate job detection within a day window.\n\tsecondsPerDay = 86400\n)\n\n// StopJobAPIRequest model\ntype StopJobAPIRequest struct {\n\tJobID     *int64          `json:\"jobId\" example:\"123000\"`\n\tCluster   *string         `json:\"cluster\" example:\"fritz\"`\n\tStartTime *int64          `json:\"startTime\" example:\"1649723812\"`\n\tState     schema.JobState `json:\"jobState\" validate:\"required\" example:\"completed\"`\n\tStopTime  int64           `json:\"stopTime\" validate:\"required\" example:\"1649763839\"`\n}\n\n// DeleteJobAPIRequest model\ntype DeleteJobAPIRequest struct {\n\tJobID     *int64  `json:\"jobId\" validate:\"required\" example:\"123000\"` // Cluster Job ID of job\n\tCluster   *string `json:\"cluster\" example:\"fritz\"`                    // Cluster of job\n\tStartTime *int64  `json:\"startTime\" example:\"1649723812\"`             // Start Time of job as epoch\n}\n\n// GetJobsAPIResponse model\ntype GetJobsAPIResponse struct {\n\tJobs  []*schema.Job `json:\"jobs\"`  // Array of jobs\n\tItems int           `json:\"items\"` // Number of jobs returned\n\tPage  int           `json:\"page\"`  // Page id returned\n}\n\n// APITag model\ntype APITag struct {\n\t// Tag Type\n\tType  string `json:\"type\" example:\"Debug\"`\n\tName  string `json:\"name\" example:\"Testjob\"` // Tag Name\n\tScope string `json:\"scope\" example:\"global\"` // Tag Scope for Frontend Display\n}\n\ntype EditMetaRequest struct {\n\tKey   string `json:\"key\" example:\"jobScript\"`\n\tValue string `json:\"value\" example:\"bash script\"`\n}\n\n// JobMetaRequest model\ntype JobMetaRequest struct {\n\tJobId     *int64          `json:\"jobId\" validate:\"required\" example:\"123000\"` // Cluster Job ID of job\n\tCluster   *string         `json:\"cluster\" example:\"fritz\"`                    // Cluster of job\n\tStartTime *int64          `json:\"startTime\" example:\"1649723812\"`             // Start Time of job as epoch\n\tPayload   EditMetaRequest `json:\"payload\"`                                    // Content to Add to Job Meta_Data\n}\n\ntype TagJobAPIRequest []*APITag\n\ntype GetJobAPIRequest []string\n\ntype GetJobAPIResponse struct {\n\tMeta *schema.Job\n\tData []*JobMetricWithName\n}\n\ntype GetCompleteJobAPIResponse struct {\n\tMeta *schema.Job\n\tData schema.JobData\n}\n\ntype JobMetricWithName struct {\n\tMetric *schema.JobMetric  `json:\"metric\"`\n\tName   string             `json:\"name\"`\n\tScope  schema.MetricScope `json:\"scope\"`\n}\n\n// getJobs godoc\n// @summary     Lists all jobs\n// @tags Job query\n// @description Get a list of all jobs. Filters can be applied using query parameters.\n// @description Number of results can be limited by page. Results are sorted by descending startTime.\n// @produce     json\n// @param       state          query    string            false \"Job State\" Enums(running, completed, failed, cancelled, stopped, timeout)\n// @param       cluster        query    string            false \"Job Cluster\"\n// @param       start-time     query    string            false \"Syntax: '$from-$to', as unix epoch timestamps in seconds\"\n// @param       items-per-page query    int               false \"Items per page (Default: 25)\"\n// @param       page           query    int               false \"Page Number (Default: 1)\"\n// @param       with-metadata  query    bool              false \"Include metadata (e.g. jobScript) in response\"\n// @success     200            {object} api.GetJobsAPIResponse  \"Job array and page info\"\n// @failure     400            {object} api.ErrorResponse       \"Bad Request\"\n// @failure     401   \t\t   {object} api.ErrorResponse       \"Unauthorized\"\n// @failure     403            {object} api.ErrorResponse       \"Forbidden\"\n// @failure     500            {object} api.ErrorResponse       \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/jobs/ [get]\nfunc (api *RestAPI) getJobs(rw http.ResponseWriter, r *http.Request) {\n\twithMetadata := false\n\tfilter := &model.JobFilter{}\n\tpage := &model.PageRequest{ItemsPerPage: 25, Page: 1}\n\torder := &model.OrderByInput{Field: \"startTime\", Type: \"col\", Order: model.SortDirectionEnumDesc}\n\n\tfor key, vals := range r.URL.Query() {\n\t\tswitch key {\n\t\tcase \"project\":\n\t\t\tfilter.Project = &model.StringInput{Eq: &vals[0]}\n\t\tcase \"state\":\n\t\t\tfor _, s := range vals {\n\t\t\t\tstate := schema.JobState(s)\n\t\t\t\tif !state.Valid() {\n\t\t\t\t\thandleError(fmt.Errorf(\"invalid query parameter value: state\"),\n\t\t\t\t\t\thttp.StatusBadRequest, rw)\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tfilter.State = append(filter.State, state)\n\t\t\t}\n\t\tcase \"cluster\":\n\t\t\tfilter.Cluster = &model.StringInput{Eq: &vals[0]}\n\t\tcase \"start-time\": // ?startTime=1753707480-1754053139\n\t\t\tst := strings.Split(vals[0], \"-\")\n\t\t\tif len(st) != 2 {\n\t\t\t\thandleError(fmt.Errorf(\"invalid query parameter value: startTime\"),\n\t\t\t\t\thttp.StatusBadRequest, rw)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tfrom, err := strconv.ParseInt(st[0], 10, 64)\n\t\t\tif err != nil {\n\t\t\t\thandleError(err, http.StatusBadRequest, rw)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tto, err := strconv.ParseInt(st[1], 10, 64)\n\t\t\tif err != nil {\n\t\t\t\thandleError(err, http.StatusBadRequest, rw)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tufrom, uto := time.Unix(from, 0), time.Unix(to, 0)\n\t\t\tfilter.StartTime = &config.TimeRange{From: &ufrom, To: &uto}\n\t\tcase \"page\":\n\t\t\tx, err := strconv.Atoi(vals[0])\n\t\t\tif err != nil {\n\t\t\t\thandleError(err, http.StatusBadRequest, rw)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tpage.Page = x\n\t\tcase \"items-per-page\":\n\t\t\tx, err := strconv.Atoi(vals[0])\n\t\t\tif err != nil {\n\t\t\t\thandleError(err, http.StatusBadRequest, rw)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tpage.ItemsPerPage = x\n\t\tcase \"with-metadata\":\n\t\t\twithMetadata = true\n\t\tdefault:\n\t\t\thandleError(fmt.Errorf(\"invalid query parameter: %s\", key),\n\t\t\t\thttp.StatusBadRequest, rw)\n\t\t\treturn\n\t\t}\n\t}\n\n\tjobs, err := api.JobRepository.QueryJobs(r.Context(), []*model.JobFilter{filter}, page, order)\n\tif err != nil {\n\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\tresults := make([]*schema.Job, 0, len(jobs))\n\tfor _, job := range jobs {\n\t\tif withMetadata {\n\t\t\tif _, err = api.JobRepository.FetchMetadata(job); err != nil {\n\t\t\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\n\t\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n\t\tif err != nil {\n\t\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\t\treturn\n\t\t}\n\n\t\tif job.MonitoringStatus == schema.MonitoringStatusArchivingSuccessful {\n\t\t\tjob.Statistics, err = archive.GetStatistics(job)\n\t\t\tif err != nil {\n\t\t\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\n\t\tresults = append(results, job)\n\t}\n\n\tcclog.Debugf(\"/api/jobs: %d jobs returned\", len(results))\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\tbw := bufio.NewWriter(rw)\n\tdefer bw.Flush()\n\n\tpayload := GetJobsAPIResponse{\n\t\tJobs:  results,\n\t\tItems: page.ItemsPerPage,\n\t\tPage:  page.Page,\n\t}\n\n\tif err := json.NewEncoder(bw).Encode(payload); err != nil {\n\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n}\n\n// getCompleteJobByID godoc\n// @summary   Get job meta and optional all metric data\n// @tags Job query\n// @description Job to get is specified by database ID\n// @description Returns full job resource information according to 'Job' scheme and all metrics according to 'JobData'.\n// @produce     json\n// @param       id          path     int                  true \"Database ID of Job\"\n// @param       all-metrics query    bool                 false \"Include all available metrics\"\n// @success     200     {object} api.GetJobAPIResponse      \"Job resource\"\n// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/jobs/{id} [get]\nfunc (api *RestAPI) getCompleteJobByID(rw http.ResponseWriter, r *http.Request) {\n\t// Fetch job from db\n\tid := chi.URLParam(r, \"id\")\n\tvar job *schema.Job\n\tvar err error\n\tif id != \"\" {\n\t\tid, e := strconv.ParseInt(id, 10, 64)\n\t\tif e != nil {\n\t\t\thandleError(fmt.Errorf(\"integer expected in path for id: %w\", e), http.StatusBadRequest, rw)\n\t\t\treturn\n\t\t}\n\n\t\tjob, err = api.JobRepository.FindByID(r.Context(), id) // Get Job from Repo by ID\n\t} else {\n\t\thandleError(fmt.Errorf(\"the parameter 'id' is required\"), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"finding job with db id %s failed: %w\", id, err), http.StatusUnprocessableEntity, rw)\n\t\treturn\n\t}\n\n\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n\tif err != nil {\n\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\treturn\n\n\t}\n\tif _, err = api.JobRepository.FetchMetadata(job); err != nil {\n\n\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\tvar scopes []schema.MetricScope\n\n\tif job.NumNodes == 1 {\n\t\tscopes = []schema.MetricScope{\"core\"}\n\t} else {\n\t\tscopes = []schema.MetricScope{\"node\"}\n\t}\n\n\tvar data schema.JobData\n\n\tmetricConfigs := archive.GetCluster(job.Cluster).MetricConfig\n\tresolution := 0\n\n\tfor _, mc := range metricConfigs {\n\t\tresolution = max(resolution, mc.Timestep)\n\t}\n\n\tif r.URL.Query().Get(\"all-metrics\") == \"true\" {\n\t\tdata, err = metricdispatch.LoadData(job, nil, scopes, r.Context(), resolution)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"REST: error while loading all-metrics job data for JobID %d on %s\", job.JobID, job.Cluster)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Debugf(\"/api/job/%s: get job %d\", id, job.JobID)\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\tbw := bufio.NewWriter(rw)\n\tdefer bw.Flush()\n\n\tpayload := GetCompleteJobAPIResponse{\n\t\tMeta: job,\n\t\tData: data,\n\t}\n\n\tif err := json.NewEncoder(bw).Encode(payload); err != nil {\n\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n}\n\n// getJobByID godoc\n// @summary   Get job meta and configurable metric data\n// @tags Job query\n// @description Job to get is specified by database ID\n// @description Returns full job resource information according to 'Job' scheme and all metrics according to 'JobData'.\n// @accept      json\n// @produce     json\n// @param       id          path     int                  true \"Database ID of Job\"\n// @param       request     body     api.GetJobAPIRequest true  \"Array of metric names\"\n// @success     200     {object} api.GetJobAPIResponse      \"Job resource\"\n// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/jobs/{id} [post]\nfunc (api *RestAPI) getJobByID(rw http.ResponseWriter, r *http.Request) {\n\t// Fetch job from db\n\tid := chi.URLParam(r, \"id\")\n\tvar job *schema.Job\n\tvar err error\n\tif id != \"\" {\n\t\tid, e := strconv.ParseInt(id, 10, 64)\n\t\tif e != nil {\n\t\t\thandleError(fmt.Errorf(\"integer expected in path for id: %w\", e), http.StatusBadRequest, rw)\n\t\t\treturn\n\t\t}\n\n\t\tjob, err = api.JobRepository.FindByID(r.Context(), id)\n\t} else {\n\t\thandleError(errors.New(\"the parameter 'id' is required\"), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"finding job with db id %s failed: %w\", id, err), http.StatusUnprocessableEntity, rw)\n\t\treturn\n\t}\n\n\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n\tif err != nil {\n\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\treturn\n\n\t}\n\tif _, err = api.JobRepository.FetchMetadata(job); err != nil {\n\n\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\tvar metrics GetJobAPIRequest\n\tif err = decode(r.Body, &metrics); err != nil {\n\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tvar scopes []schema.MetricScope\n\n\tif job.NumNodes == 1 {\n\t\tscopes = []schema.MetricScope{\"core\"}\n\t} else {\n\t\tscopes = []schema.MetricScope{\"node\"}\n\t}\n\n\tmetricConfigs := archive.GetCluster(job.Cluster).MetricConfig\n\tresolution := 0\n\n\tfor _, mc := range metricConfigs {\n\t\tresolution = max(resolution, mc.Timestep)\n\t}\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, r.Context(), resolution)\n\tif err != nil {\n\t\tcclog.Warnf(\"REST: error while loading job data for JobID %d on %s\", job.JobID, job.Cluster)\n\t\treturn\n\t}\n\n\tres := []*JobMetricWithName{}\n\tfor name, md := range data {\n\t\tfor scope, metric := range md {\n\t\t\tres = append(res, &JobMetricWithName{\n\t\t\t\tName:   name,\n\t\t\t\tScope:  scope,\n\t\t\t\tMetric: metric,\n\t\t\t})\n\t\t}\n\t}\n\n\tcclog.Debugf(\"/api/job/%s: get job %d\", id, job.JobID)\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\tbw := bufio.NewWriter(rw)\n\tdefer bw.Flush()\n\n\tpayload := GetJobAPIResponse{\n\t\tMeta: job,\n\t\tData: res,\n\t}\n\n\tif err := json.NewEncoder(bw).Encode(payload); err != nil {\n\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n}\n\n// editMeta godoc\n// @summary    Edit meta-data json of job identified by database id\n// @tags Job add and modify\n// @description Edit key value pairs in job metadata json of job specified by database id\n// @description If a key already exists its content will be overwritten\n// @accept      json\n// @produce     json\n// @param       id      path     int                  true \"Job Database ID\"\n// @param       request body     api.EditMetaRequest  true \"Metadata Key value pair to add or update\"\n// @success     200     {object} schema.Job                \"Updated job resource\"\n// @failure     400     {object} api.ErrorResponse         \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse         \"Unauthorized\"\n// @failure     404     {object} api.ErrorResponse         \"Job does not exist\"\n// @failure     500     {object} api.ErrorResponse         \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/jobs/edit_meta/{id} [patch]\nfunc (api *RestAPI) editMeta(rw http.ResponseWriter, r *http.Request) {\n\tid, err := strconv.ParseInt(chi.URLParam(r, \"id\"), 10, 64)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"parsing job ID failed: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tjob, err := api.JobRepository.FindByID(r.Context(), id)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n\t\treturn\n\t}\n\n\tvar req EditMetaRequest\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tif err := api.JobRepository.UpdateMetadata(job, req.Key, req.Value); err != nil {\n\t\thandleError(fmt.Errorf(\"updating metadata failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusOK)\n\tif err := json.NewEncoder(rw).Encode(job); err != nil {\n\t\tcclog.Errorf(\"Failed to encode job response: %v\", err)\n\t}\n}\n\n// editMetaByRequest godoc\n// @summary    Edit meta-data json of job identified by request\n// @tags Job add and modify\n// @description Edit key value pairs in metadata json of job specified by jobID, StartTime and Cluster\n// @description If a key already exists its content will be overwritten\n// @accept      json\n// @produce     json\n// @param       request body     api.JobMetaRequest   true \"Specifies job and payload to add or update\"\n// @success     200     {object} schema.Job                \"Updated job resource\"\n// @failure     400     {object} api.ErrorResponse         \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse         \"Unauthorized\"\n// @failure     404     {object} api.ErrorResponse         \"Job does not exist\"\n// @failure     500     {object} api.ErrorResponse         \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/jobs/edit_meta/ [patch]\nfunc (api *RestAPI) editMetaByRequest(rw http.ResponseWriter, r *http.Request) {\n\t// Parse request body\n\treq := JobMetaRequest{}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\t// Fetch job (that will have its meta_data edited) from db\n\tvar job *schema.Job\n\tvar err error\n\tif req.JobId == nil {\n\t\thandleError(errors.New(\"the field 'jobId' is required\"), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\t// log.Printf(\"loading db job for editMetaByRequest... : JobMetaRequest=%v\", req)\n\tjob, err = api.JobRepository.Find(req.JobId, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusUnprocessableEntity, rw)\n\t\treturn\n\t}\n\n\tif err := api.JobRepository.UpdateMetadata(job, req.Payload.Key, req.Payload.Value); err != nil {\n\t\thttp.Error(rw, err.Error(), http.StatusInternalServerError)\n\t\treturn\n\t}\n\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusOK)\n\tjson.NewEncoder(rw).Encode(job)\n}\n\n// tagJob godoc\n// @summary     Adds one or more tags to a job\n// @tags Job add and modify\n// @description Adds tag(s) to a job specified by DB ID. Name and Type of Tag(s) can be chosen freely.\n// @description Tag Scope for frontend visibility will default to \"global\" if none entered, other options: \"admin\" or specific username.\n// @description If tagged job is already finished: Tag will be written directly to respective archive files.\n// @accept      json\n// @produce     json\n// @param       id      path     int                  true \"Job Database ID\"\n// @param       request body     api.TagJobAPIRequest true \"Array of tag-objects to add\"\n// @success     200     {object} schema.Job                \"Updated job resource\"\n// @failure     400     {object} api.ErrorResponse         \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse         \"Unauthorized\"\n// @failure     404     {object} api.ErrorResponse         \"Job or tag does not exist\"\n// @failure     500     {object} api.ErrorResponse         \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/jobs/tag_job/{id} [post]\nfunc (api *RestAPI) tagJob(rw http.ResponseWriter, r *http.Request) {\n\tid, err := strconv.ParseInt(chi.URLParam(r, \"id\"), 10, 64)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"parsing job ID failed: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tjob, err := api.JobRepository.FindByID(r.Context(), id)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n\t\treturn\n\t}\n\n\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"getting tags failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\tvar req TagJobAPIRequest\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tfor _, tag := range req {\n\t\ttagID, err := api.JobRepository.AddTagOrCreate(repository.GetUserFromContext(r.Context()), *job.ID, tag.Type, tag.Name, tag.Scope)\n\t\tif err != nil {\n\t\t\thandleError(fmt.Errorf(\"adding tag failed: %w\", err), http.StatusInternalServerError, rw)\n\t\t\treturn\n\t\t}\n\n\t\tjob.Tags = append(job.Tags, &schema.Tag{\n\t\t\tID:    tagID,\n\t\t\tType:  tag.Type,\n\t\t\tName:  tag.Name,\n\t\t\tScope: tag.Scope,\n\t\t})\n\t}\n\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusOK)\n\tif err := json.NewEncoder(rw).Encode(job); err != nil {\n\t\tcclog.Errorf(\"Failed to encode job response: %v\", err)\n\t}\n}\n\n// removeTagJob godoc\n// @summary     Removes one or more tags from a job\n// @tags Job add and modify\n// @description Removes tag(s) from a job specified by DB ID. Name and Type of Tag(s) must match.\n// @description Tag Scope is required for matching, options: \"global\", \"admin\". Private tags can not be deleted via API.\n// @description If tagged job is already finished: Tag will be removed from respective archive files.\n// @accept      json\n// @produce     json\n// @param       id      path     int                  true \"Job Database ID\"\n// @param       request body     api.TagJobAPIRequest true \"Array of tag-objects to remove\"\n// @success     200     {object} schema.Job                \"Updated job resource\"\n// @failure     400     {object} api.ErrorResponse         \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse         \"Unauthorized\"\n// @failure     404     {object} api.ErrorResponse         \"Job or tag does not exist\"\n// @failure     500     {object} api.ErrorResponse         \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /jobs/tag_job/{id} [delete]\nfunc (api *RestAPI) removeTagJob(rw http.ResponseWriter, r *http.Request) {\n\tid, err := strconv.ParseInt(chi.URLParam(r, \"id\"), 10, 64)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"parsing job ID failed: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tjob, err := api.JobRepository.FindByID(r.Context(), id)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n\t\treturn\n\t}\n\n\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"getting tags failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\tvar req TagJobAPIRequest\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tfor _, rtag := range req {\n\t\t// Only Global and Admin Tags\n\t\tif rtag.Scope != \"global\" && rtag.Scope != \"admin\" {\n\t\t\tcclog.Warnf(\"Cannot delete private tag for job %d: Skip\", job.JobID)\n\t\t\tcontinue\n\t\t}\n\n\t\tremainingTags, err := api.JobRepository.RemoveJobTagByRequest(repository.GetUserFromContext(r.Context()), *job.ID, rtag.Type, rtag.Name, rtag.Scope)\n\t\tif err != nil {\n\t\t\thandleError(fmt.Errorf(\"removing tag failed: %w\", err), http.StatusInternalServerError, rw)\n\t\t\treturn\n\t\t}\n\n\t\tjob.Tags = remainingTags\n\t}\n\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusOK)\n\tif err := json.NewEncoder(rw).Encode(job); err != nil {\n\t\tcclog.Errorf(\"Failed to encode job response: %v\", err)\n\t}\n}\n\n// removeTags godoc\n// @summary     Removes all tags and job-relations for type:name tuple\n// @tags Tag remove\n// @description Removes tags by type and name. Name and Type of Tag(s) must match.\n// @description Tag Scope is required for matching, options: \"global\", \"admin\". Private tags can not be deleted via API.\n// @description Tag wills be removed from respective archive files.\n// @accept      json\n// @produce     plain\n// @param       request body     api.TagJobAPIRequest true \"Array of tag-objects to remove\"\n// @success     200     {string} string                    \"Success Response\"\n// @failure     400     {object} api.ErrorResponse         \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse         \"Unauthorized\"\n// @failure     404     {object} api.ErrorResponse         \"Job or tag does not exist\"\n// @failure     500     {object} api.ErrorResponse         \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /tags/ [delete]\nfunc (api *RestAPI) removeTags(rw http.ResponseWriter, r *http.Request) {\n\tvar req TagJobAPIRequest\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\ttargetCount := len(req)\n\tcurrentCount := 0\n\tfor _, rtag := range req {\n\t\t// Only Global and Admin Tags\n\t\tif rtag.Scope != \"global\" && rtag.Scope != \"admin\" {\n\t\t\tcclog.Warn(\"Cannot delete private tag: Skip\")\n\t\t\tcontinue\n\t\t}\n\n\t\terr := api.JobRepository.RemoveTagByRequest(rtag.Type, rtag.Name, rtag.Scope)\n\t\tif err != nil {\n\t\t\thandleError(fmt.Errorf(\"removing tag failed: %w\", err), http.StatusInternalServerError, rw)\n\t\t\treturn\n\t\t}\n\t\tcurrentCount++\n\t}\n\n\trw.WriteHeader(http.StatusOK)\n\tfmt.Fprintf(rw, \"Deleted Tags from DB: %d successfull of %d requested\\n\", currentCount, targetCount)\n}\n\n// startJob godoc\n// @summary     Adds a new job as \"running\"\n// @tags Job add and modify\n// @description Job specified in request body will be saved to database as \"running\" with new DB ID.\n// @description Job specifications follow the 'Job' scheme, API will fail to execute if requirements are not met.\n// @accept      json\n// @produce     json\n// @param       request body     schema.Job true \"Job to add\"\n// @success     201     {object} api.DefaultAPIResponse    \"Job added successfully\"\n// @failure     400     {object} api.ErrorResponse            \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse            \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse            \"Forbidden\"\n// @failure     422     {object} api.ErrorResponse            \"Unprocessable Entity: The combination of jobId, clusterId and startTime does already exist\"\n// @failure     500     {object} api.ErrorResponse            \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/jobs/start_job/ [post]\nfunc (api *RestAPI) startJob(rw http.ResponseWriter, r *http.Request) {\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"REST: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\thandleError(err, http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\t// aquire lock to avoid race condition between API calls\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\t// Check if combination of (job_id, cluster_id, start_time) already exists:\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\thandleError(fmt.Errorf(\"checking for duplicate failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\t// Check if jobs are within the same day (prevent duplicates)\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\thandleError(fmt.Errorf(\"a job with that jobId, cluster and startTime already exists: dbid: %d, jobid: %d\", *job.ID, job.JobID), http.StatusUnprocessableEntity, rw)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\t// Jobs without tags use the cache path as before.\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"insert into database failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\t// unlock here, adding Tags can be async\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(repository.GetUserFromContext(r.Context()), id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\thandleError(fmt.Errorf(\"adding tag to new job %d failed: %w\", id, err), http.StatusInternalServerError, rw)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\", id, req.Cluster, req.JobID, req.User, req.StartTime)\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusCreated)\n\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{\n\t\tMessage: \"success\",\n\t}); err != nil {\n\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n\t}\n}\n\n// stopJobByRequest godoc\n// @summary     Marks job as completed and triggers archiving\n// @tags Job add and modify\n// @description Job to stop is specified by request body. All fields are required in this case.\n// @description Returns full job resource information according to 'Job' scheme.\n// @produce     json\n// @param       request body     api.StopJobAPIRequest true \"All fields required\"\n// @success     200     {object} schema.Job                 \"Success message\"\n// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: job has already been stopped\"\n// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/jobs/stop_job/ [post]\nfunc (api *RestAPI) stopJobByRequest(rw http.ResponseWriter, r *http.Request) {\n\t// Parse request body\n\treq := StopJobAPIRequest{}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\t// Fetch job (that will be stopped) from db\n\tvar job *schema.Job\n\tvar err error\n\tif req.JobID == nil {\n\t\thandleError(errors.New(\"the field 'jobId' is required\"), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err = api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tapi.checkAndHandleStopJob(rw, job, req, isCached)\n}\n\n// deleteJobByID godoc\n// @summary     Remove a job from the sql database\n// @tags Job remove\n// @description Job to remove is specified by database ID. This will not remove the job from the job archive.\n// @produce     json\n// @param       id      path     int                   true \"Database ID of Job\"\n// @success     200     {object} api.DefaultAPIResponse  \"Success message\"\n// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/jobs/delete_job/{id} [delete]\nfunc (api *RestAPI) deleteJobByID(rw http.ResponseWriter, r *http.Request) {\n\t// Fetch job (that will be stopped) from db\n\tid := chi.URLParam(r, \"id\")\n\tvar err error\n\tif id != \"\" {\n\t\tid, e := strconv.ParseInt(id, 10, 64)\n\t\tif e != nil {\n\t\t\thandleError(fmt.Errorf(\"integer expected in path for id: %w\", e), http.StatusBadRequest, rw)\n\t\t\treturn\n\t\t}\n\n\t\terr = api.JobRepository.DeleteJobByID(id)\n\t} else {\n\t\thandleError(errors.New(\"the parameter 'id' is required\"), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"deleting job failed: %w\", err), http.StatusUnprocessableEntity, rw)\n\t\treturn\n\t}\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusOK)\n\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{\n\t\tMessage: fmt.Sprintf(\"Successfully deleted job %s\", id),\n\t}); err != nil {\n\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n\t}\n}\n\n// deleteJobByRequest godoc\n// @summary     Remove a job from the sql database\n// @tags Job remove\n// @description Job to delete is specified by request body. All fields are required in this case.\n// @accept      json\n// @produce     json\n// @param       request body     api.DeleteJobAPIRequest true \"All fields required\"\n// @success     200     {object} api.DefaultAPIResponse  \"Success message\"\n// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/jobs/delete_job/ [delete]\nfunc (api *RestAPI) deleteJobByRequest(rw http.ResponseWriter, r *http.Request) {\n\t// Parse request body\n\treq := DeleteJobAPIRequest{}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\t// Fetch job (that will be deleted) from db\n\tvar job *schema.Job\n\tvar err error\n\tif req.JobID == nil {\n\t\thandleError(errors.New(\"the field 'jobId' is required\"), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusUnprocessableEntity, rw)\n\t\treturn\n\t}\n\n\terr = api.JobRepository.DeleteJobByID(*job.ID)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"deleting job failed: %w\", err), http.StatusUnprocessableEntity, rw)\n\t\treturn\n\t}\n\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusOK)\n\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{\n\t\tMessage: fmt.Sprintf(\"Successfully deleted job %d\", *job.ID),\n\t}); err != nil {\n\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n\t}\n}\n\n// deleteJobBefore godoc\n// @summary     Remove a job from the sql database\n// @tags Job remove\n// @description Remove all jobs with start time before timestamp. The jobs will not be removed from the job archive.\n// @produce     json\n// @param       ts      path     int                   true \"Unix epoch timestamp\"\n// @success     200     {object} api.DefaultAPIResponse  \"Success message\"\n// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/jobs/delete_job_before/{ts} [delete]\n// @param       omit-tagged query bool false \"Omit jobs with tags from deletion\"\nfunc (api *RestAPI) deleteJobBefore(rw http.ResponseWriter, r *http.Request) {\n\tvar cnt int\n\t// Fetch job (that will be stopped) from db\n\tid := chi.URLParam(r, \"ts\")\n\tvar err error\n\tif id != \"\" {\n\t\tts, e := strconv.ParseInt(id, 10, 64)\n\t\tif e != nil {\n\t\t\thandleError(fmt.Errorf(\"integer expected in path for ts: %w\", e), http.StatusBadRequest, rw)\n\t\t\treturn\n\t\t}\n\n\t\t// Check for omit-tagged query parameter\n\t\tomitTagged := \"none\"\n\t\tif omitTaggedStr := r.URL.Query().Get(\"omit-tagged\"); omitTaggedStr != \"\" {\n\t\t\tswitch omitTaggedStr {\n\t\t\tcase \"none\", \"all\", \"user\":\n\t\t\t\tomitTagged = omitTaggedStr\n\t\t\tdefault:\n\t\t\t\thandleError(fmt.Errorf(\"omit-tagged must be one of: none, all, user\"), http.StatusBadRequest, rw)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\n\t\tcnt, err = api.JobRepository.DeleteJobsBefore(ts, omitTagged)\n\t} else {\n\t\thandleError(errors.New(\"the parameter 'ts' is required\"), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"deleting jobs failed: %w\", err), http.StatusUnprocessableEntity, rw)\n\t\treturn\n\t}\n\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusOK)\n\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{\n\t\tMessage: fmt.Sprintf(\"Successfully deleted %d jobs\", cnt),\n\t}); err != nil {\n\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n\t}\n}\n\nfunc (api *RestAPI) checkAndHandleStopJob(rw http.ResponseWriter, job *schema.Job, req StopJobAPIRequest, isCached bool) {\n\t// Sanity checks\n\tif job.State != schema.JobStateRunning {\n\t\thandleError(fmt.Errorf(\"jobId %d (id %d) on %s : job has already been stopped (state is: %s)\", job.JobID, *job.ID, job.Cluster, job.State), http.StatusUnprocessableEntity, rw)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\thandleError(fmt.Errorf(\"jobId %d (id %d) on %s : stopTime %d must be larger/equal than startTime %d\", job.JobID, *job.ID, job.Cluster, req.StopTime, job.StartTime), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\thandleError(fmt.Errorf(\"jobId %d (id %d) on %s : invalid requested job state: %#v\", job.JobID, *job.ID, job.Cluster, req.State), http.StatusBadRequest, rw)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\t// Mark job as stopped in the database (update state and duration)\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\t// so that job.ID always points to the job table for downstream code\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\thandleError(fmt.Errorf(\"jobId %d (id %d) on %s : transferring cached job failed: %w\", job.JobID, *job.ID, job.Cluster, err), http.StatusInternalServerError, rw)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\thandleError(fmt.Errorf(\"jobId %d (id %d) on %s : marking job as '%s' (duration: %d) in DB failed: %w\", job.JobID, *job.ID, job.Cluster, job.State, job.Duration, err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"archiving job... (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\", *job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\t// Send a response (with status OK). This means that errors that happen from here on forward\n\t// can *NOT* be communicated to the client. If reading from a MetricDataRepository or\n\t// writing to the filesystem fails, the client will not know.\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusOK)\n\tif err := json.NewEncoder(rw).Encode(job); err != nil {\n\t\tcclog.Errorf(\"Failed to encode job response: %v\", err)\n\t}\n\n\t// Monitoring is disabled...\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\t// Trigger async archiving\n\tarchiver.TriggerArchiving(job)\n}\n\nfunc (api *RestAPI) getJobMetrics(rw http.ResponseWriter, r *http.Request) {\n\tid := chi.URLParam(r, \"id\")\n\tmetrics := r.URL.Query()[\"metric\"]\n\tvar scopes []schema.MetricScope\n\tfor _, scope := range r.URL.Query()[\"scope\"] {\n\t\tvar s schema.MetricScope\n\t\tif err := s.UnmarshalGQL(scope); err != nil {\n\t\t\thandleError(fmt.Errorf(\"unmarshaling scope failed: %w\", err), http.StatusBadRequest, rw)\n\t\t\treturn\n\t\t}\n\t\tscopes = append(scopes, s)\n\t}\n\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusOK)\n\n\ttype Response struct {\n\t\tData *struct {\n\t\t\tJobMetrics []*model.JobMetricWithName `json:\"jobMetrics\"`\n\t\t} `json:\"data\"`\n\t\tError *struct {\n\t\t\tMessage string `json:\"message\"`\n\t\t} `json:\"error\"`\n\t}\n\n\tresolver := graph.GetResolverInstance()\n\tdata, err := resolver.Query().JobMetrics(r.Context(), id, metrics, scopes, nil)\n\tif err != nil {\n\t\tif err := json.NewEncoder(rw).Encode(Response{\n\t\t\tError: &struct {\n\t\t\t\tMessage string `json:\"message\"`\n\t\t\t}{Message: err.Error()},\n\t\t}); err != nil {\n\t\t\tcclog.Errorf(\"Failed to encode error response: %v\", err)\n\t\t}\n\t\treturn\n\t}\n\n\tif err := json.NewEncoder(rw).Encode(Response{\n\t\tData: &struct {\n\t\t\tJobMetrics []*model.JobMetricWithName `json:\"jobMetrics\"`\n\t\t}{JobMetrics: data},\n\t}); err != nil {\n\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n\t}\n}\n\n// GetUsedNodesAPIResponse model\ntype GetUsedNodesAPIResponse struct {\n\tUsedNodes map[string][]string `json:\"usedNodes\"` // Map of cluster names to lists of used node hostnames\n}\n\n// getUsedNodes godoc\n// @summary     Lists used nodes by cluster\n// @tags Job query\n// @description Get a map of cluster names to lists of unique hostnames that are currently in use by running jobs that started before the specified timestamp.\n// @produce     json\n// @param       ts             query    int               true  \"Unix timestamp to filter jobs (jobs with start_time < ts)\"\n// @success     200            {object} api.GetUsedNodesAPIResponse  \"Map of cluster names to hostname lists\"\n// @failure     400            {object} api.ErrorResponse            \"Bad Request\"\n// @failure     401            {object} api.ErrorResponse            \"Unauthorized\"\n// @failure     403            {object} api.ErrorResponse            \"Forbidden\"\n// @failure     500            {object} api.ErrorResponse            \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/jobs/used_nodes [get]\nfunc (api *RestAPI) getUsedNodes(rw http.ResponseWriter, r *http.Request) {\n\tif user := repository.GetUserFromContext(r.Context()); user != nil &&\n\t\t!user.HasRole(schema.RoleAPI) {\n\t\thandleError(fmt.Errorf(\"missing role: %v\", schema.GetRoleString(schema.RoleAPI)), http.StatusForbidden, rw)\n\t\treturn\n\t}\n\n\ttsStr := r.URL.Query().Get(\"ts\")\n\tif tsStr == \"\" {\n\t\thandleError(fmt.Errorf(\"missing required query parameter: ts\"), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tts, err := strconv.ParseInt(tsStr, 10, 64)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"invalid timestamp format: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tusedNodes, err := api.JobRepository.GetUsedNodes(ts)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"failed to get used nodes: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\tpayload := GetUsedNodesAPIResponse{\n\t\tUsedNodes: usedNodes,\n\t}\n\n\tif err := json.NewEncoder(rw).Encode(payload); err != nil {\n\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n}\n","structuredPatch":[{"oldStart":301,"oldLines":7,"newStart":301,"newLines":7,"lines":["   }"," ","   if r.URL.Query().Get(\"all-metrics\") == \"true\" {","-    data, err = metricdispatch.LoadData(job, nil, scopes, r.Context(), resolution)","+    data, err = metricdispatch.LoadData(job, nil, scopes, r.Context(), resolution, \"\")","     if err != nil {","       cclog.Warnf(\"REST: error while loading all-metrics job data for JobID %d on %s\", job.JobID, job.Cluster)","       return"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"7b30720d-e447-437f-b4f0-35eac4164df4","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"bufio\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"net/http\"\n\t\"strconv\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/go-chi/chi/v5\"\n)\n\nconst (\n\t// secondsPerDay is the number of seconds in 24 hours.\n\t// Used for duplicate job detection within a day window.\n\tsecondsPerDay = 86400\n)\n\n// StopJobAPIRequest model\ntype StopJobAPIRequest struct {\n\tJobID     *int64          `json:\"jobId\" example:\"123000\"`\n\tCluster   *string         `json:\"cluster\" example:\"fritz\"`\n\tStartTime *int64          `json:\"startTime\" example:\"1649723812\"`\n\tState     schema.JobState `json:\"jobState\" validate:\"required\" example:\"completed\"`\n\tStopTime  int64           `json:\"stopTime\" validate:\"required\" example:\"1649763839\"`\n}\n\n// DeleteJobAPIRequest model\ntype DeleteJobAPIRequest struct {\n\tJobID     *int64  `json:\"jobId\" validate:\"required\" example:\"123000\"` // Cluster Job ID of job\n\tCluster   *string `json:\"cluster\" example:\"fritz\"`                    // Cluster of job\n\tStartTime *int64  `json:\"startTime\" example:\"1649723812\"`             // Start Time of job as epoch\n}\n\n// GetJobsAPIResponse model\ntype GetJobsAPIResponse struct {\n\tJobs  []*schema.Job `json:\"jobs\"`  // Array of jobs\n\tItems int           `json:\"items\"` // Number of jobs returned\n\tPage  int           `json:\"page\"`  // Page id returned\n}\n\n// APITag model\ntype APITag struct {\n\t// Tag Type\n\tType  string `json:\"type\" example:\"Debug\"`\n\tName  string `json:\"name\" example:\"Testjob\"` // Tag Name\n\tScope string `json:\"scope\" example:\"global\"` // Tag Scope for Frontend Display\n}\n\ntype EditMetaRequest struct {\n\tKey   string `json:\"key\" example:\"jobScript\"`\n\tValue string `json:\"value\" example:\"bash script\"`\n}\n\n// JobMetaRequest model\ntype JobMetaRequest struct {\n\tJobId     *int64          `json:\"jobId\" validate:\"required\" example:\"123000\"` // Cluster Job ID of job\n\tCluster   *string         `json:\"cluster\" example:\"fritz\"`                    // Cluster of job\n\tStartTime *int64          `json:\"startTime\" example:\"1649723812\"`             // Start Time of job as epoch\n\tPayload   EditMetaRequest `json:\"payload\"`                                    // Content to Add to Job Meta_Data\n}\n\ntype TagJobAPIRequest []*APITag\n\ntype GetJobAPIRequest []string\n\ntype GetJobAPIResponse struct {\n\tMeta *schema.Job\n\tData []*JobMetricWithName\n}\n\ntype GetCompleteJobAPIResponse struct {\n\tMeta *schema.Job\n\tData schema.JobData\n}\n\ntype JobMetricWithName struct {\n\tMetric *schema.JobMetric  `json:\"metric\"`\n\tName   string             `json:\"name\"`\n\tScope  schema.MetricScope `json:\"scope\"`\n}\n\n// getJobs godoc\n// @summary     Lists all jobs\n// @tags Job query\n// @description Get a list of all jobs. Filters can be applied using query parameters.\n// @description Number of results can be limited by page. Results are sorted by descending startTime.\n// @produce     json\n// @param       state          query    string            false \"Job State\" Enums(running, completed, failed, cancelled, stopped, timeout)\n// @param       cluster        query    string            false \"Job Cluster\"\n// @param       start-time     query    string            false \"Syntax: '$from-$to', as unix epoch timestamps in seconds\"\n// @param       items-per-page query    int               false \"Items per page (Default: 25)\"\n// @param       page           query    int               false \"Page Number (Default: 1)\"\n// @param       with-metadata  query    bool              false \"Include metadata (e.g. jobScript) in response\"\n// @success     200            {object} api.GetJobsAPIResponse  \"Job array and page info\"\n// @failure     400            {object} api.ErrorResponse       \"Bad Request\"\n// @failure     401   \t\t   {object} api.ErrorResponse       \"Unauthorized\"\n// @failure     403            {object} api.ErrorResponse       \"Forbidden\"\n// @failure     500            {object} api.ErrorResponse       \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/jobs/ [get]\nfunc (api *RestAPI) getJobs(rw http.ResponseWriter, r *http.Request) {\n\twithMetadata := false\n\tfilter := &model.JobFilter{}\n\tpage := &model.PageRequest{ItemsPerPage: 25, Page: 1}\n\torder := &model.OrderByInput{Field: \"startTime\", Type: \"col\", Order: model.SortDirectionEnumDesc}\n\n\tfor key, vals := range r.URL.Query() {\n\t\tswitch key {\n\t\tcase \"project\":\n\t\t\tfilter.Project = &model.StringInput{Eq: &vals[0]}\n\t\tcase \"state\":\n\t\t\tfor _, s := range vals {\n\t\t\t\tstate := schema.JobState(s)\n\t\t\t\tif !state.Valid() {\n\t\t\t\t\thandleError(fmt.Errorf(\"invalid query parameter value: state\"),\n\t\t\t\t\t\thttp.StatusBadRequest, rw)\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tfilter.State = append(filter.State, state)\n\t\t\t}\n\t\tcase \"cluster\":\n\t\t\tfilter.Cluster = &model.StringInput{Eq: &vals[0]}\n\t\tcase \"start-time\": // ?startTime=1753707480-1754053139\n\t\t\tst := strings.Split(vals[0], \"-\")\n\t\t\tif len(st) != 2 {\n\t\t\t\thandleError(fmt.Errorf(\"invalid query parameter value: startTime\"),\n\t\t\t\t\thttp.StatusBadRequest, rw)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tfrom, err := strconv.ParseInt(st[0], 10, 64)\n\t\t\tif err != nil {\n\t\t\t\thandleError(err, http.StatusBadRequest, rw)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tto, err := strconv.ParseInt(st[1], 10, 64)\n\t\t\tif err != nil {\n\t\t\t\thandleError(err, http.StatusBadRequest, rw)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tufrom, uto := time.Unix(from, 0), time.Unix(to, 0)\n\t\t\tfilter.StartTime = &config.TimeRange{From: &ufrom, To: &uto}\n\t\tcase \"page\":\n\t\t\tx, err := strconv.Atoi(vals[0])\n\t\t\tif err != nil {\n\t\t\t\thandleError(err, http.StatusBadRequest, rw)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tpage.Page = x\n\t\tcase \"items-per-page\":\n\t\t\tx, err := strconv.Atoi(vals[0])\n\t\t\tif err != nil {\n\t\t\t\thandleError(err, http.StatusBadRequest, rw)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tpage.ItemsPerPage = x\n\t\tcase \"with-metadata\":\n\t\t\twithMetadata = true\n\t\tdefault:\n\t\t\thandleError(fmt.Errorf(\"invalid query parameter: %s\", key),\n\t\t\t\thttp.StatusBadRequest, rw)\n\t\t\treturn\n\t\t}\n\t}\n\n\tjobs, err := api.JobRepository.QueryJobs(r.Context(), []*model.JobFilter{filter}, page, order)\n\tif err != nil {\n\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\tresults := make([]*schema.Job, 0, len(jobs))\n\tfor _, job := range jobs {\n\t\tif withMetadata {\n\t\t\tif _, err = api.JobRepository.FetchMetadata(job); err != nil {\n\t\t\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\n\t\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n\t\tif err != nil {\n\t\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\t\treturn\n\t\t}\n\n\t\tif job.MonitoringStatus == schema.MonitoringStatusArchivingSuccessful {\n\t\t\tjob.Statistics, err = archive.GetStatistics(job)\n\t\t\tif err != nil {\n\t\t\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\n\t\tresults = append(results, job)\n\t}\n\n\tcclog.Debugf(\"/api/jobs: %d jobs returned\", len(results))\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\tbw := bufio.NewWriter(rw)\n\tdefer bw.Flush()\n\n\tpayload := GetJobsAPIResponse{\n\t\tJobs:  results,\n\t\tItems: page.ItemsPerPage,\n\t\tPage:  page.Page,\n\t}\n\n\tif err := json.NewEncoder(bw).Encode(payload); err != nil {\n\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n}\n\n// getCompleteJobByID godoc\n// @summary   Get job meta and optional all metric data\n// @tags Job query\n// @description Job to get is specified by database ID\n// @description Returns full job resource information according to 'Job' scheme and all metrics according to 'JobData'.\n// @produce     json\n// @param       id          path     int                  true \"Database ID of Job\"\n// @param       all-metrics query    bool                 false \"Include all available metrics\"\n// @success     200     {object} api.GetJobAPIResponse      \"Job resource\"\n// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/jobs/{id} [get]\nfunc (api *RestAPI) getCompleteJobByID(rw http.ResponseWriter, r *http.Request) {\n\t// Fetch job from db\n\tid := chi.URLParam(r, \"id\")\n\tvar job *schema.Job\n\tvar err error\n\tif id != \"\" {\n\t\tid, e := strconv.ParseInt(id, 10, 64)\n\t\tif e != nil {\n\t\t\thandleError(fmt.Errorf(\"integer expected in path for id: %w\", e), http.StatusBadRequest, rw)\n\t\t\treturn\n\t\t}\n\n\t\tjob, err = api.JobRepository.FindByID(r.Context(), id) // Get Job from Repo by ID\n\t} else {\n\t\thandleError(fmt.Errorf(\"the parameter 'id' is required\"), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"finding job with db id %s failed: %w\", id, err), http.StatusUnprocessableEntity, rw)\n\t\treturn\n\t}\n\n\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n\tif err != nil {\n\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\treturn\n\n\t}\n\tif _, err = api.JobRepository.FetchMetadata(job); err != nil {\n\n\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\tvar scopes []schema.MetricScope\n\n\tif job.NumNodes == 1 {\n\t\tscopes = []schema.MetricScope{\"core\"}\n\t} else {\n\t\tscopes = []schema.MetricScope{\"node\"}\n\t}\n\n\tvar data schema.JobData\n\n\tmetricConfigs := archive.GetCluster(job.Cluster).MetricConfig\n\tresolution := 0\n\n\tfor _, mc := range metricConfigs {\n\t\tresolution = max(resolution, mc.Timestep)\n\t}\n\n\tif r.URL.Query().Get(\"all-metrics\") == \"true\" {\n\t\tdata, err = metricdispatch.LoadData(job, nil, scopes, r.Context(), resolution, \"\")\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"REST: error while loading all-metrics job data for JobID %d on %s\", job.JobID, job.Cluster)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Debugf(\"/api/job/%s: get job %d\", id, job.JobID)\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\tbw := bufio.NewWriter(rw)\n\tdefer bw.Flush()\n\n\tpayload := GetCompleteJobAPIResponse{\n\t\tMeta: job,\n\t\tData: data,\n\t}\n\n\tif err := json.NewEncoder(bw).Encode(payload); err != nil {\n\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n}\n\n// getJobByID godoc\n// @summary   Get job meta and configurable metric data\n// @tags Job query\n// @description Job to get is specified by database ID\n// @description Returns full job resource information according to 'Job' scheme and all metrics according to 'JobData'.\n// @accept      json\n// @produce     json\n// @param       id          path     int                  true \"Database ID of Job\"\n// @param       request     body     api.GetJobAPIRequest true  \"Array of metric names\"\n// @success     200     {object} api.GetJobAPIResponse      \"Job resource\"\n// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/jobs/{id} [post]\nfunc (api *RestAPI) getJobByID(rw http.ResponseWriter, r *http.Request) {\n\t// Fetch job from db\n\tid := chi.URLParam(r, \"id\")\n\tvar job *schema.Job\n\tvar err error\n\tif id != \"\" {\n\t\tid, e := strconv.ParseInt(id, 10, 64)\n\t\tif e != nil {\n\t\t\thandleError(fmt.Errorf(\"integer expected in path for id: %w\", e), http.StatusBadRequest, rw)\n\t\t\treturn\n\t\t}\n\n\t\tjob, err = api.JobRepository.FindByID(r.Context(), id)\n\t} else {\n\t\thandleError(errors.New(\"the parameter 'id' is required\"), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"finding job with db id %s failed: %w\", id, err), http.StatusUnprocessableEntity, rw)\n\t\treturn\n\t}\n\n\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n\tif err != nil {\n\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\treturn\n\n\t}\n\tif _, err = api.JobRepository.FetchMetadata(job); err != nil {\n\n\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\tvar metrics GetJobAPIRequest\n\tif err = decode(r.Body, &metrics); err != nil {\n\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tvar scopes []schema.MetricScope\n\n\tif job.NumNodes == 1 {\n\t\tscopes = []schema.MetricScope{\"core\"}\n\t} else {\n\t\tscopes = []schema.MetricScope{\"node\"}\n\t}\n\n\tmetricConfigs := archive.GetCluster(job.Cluster).MetricConfig\n\tresolution := 0\n\n\tfor _, mc := range metricConfigs {\n\t\tresolution = max(resolution, mc.Timestep)\n\t}\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, r.Context(), resolution)\n\tif err != nil {\n\t\tcclog.Warnf(\"REST: error while loading job data for JobID %d on %s\", job.JobID, job.Cluster)\n\t\treturn\n\t}\n\n\tres := []*JobMetricWithName{}\n\tfor name, md := range data {\n\t\tfor scope, metric := range md {\n\t\t\tres = append(res, &JobMetricWithName{\n\t\t\t\tName:   name,\n\t\t\t\tScope:  scope,\n\t\t\t\tMetric: metric,\n\t\t\t})\n\t\t}\n\t}\n\n\tcclog.Debugf(\"/api/job/%s: get job %d\", id, job.JobID)\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\tbw := bufio.NewWriter(rw)\n\tdefer bw.Flush()\n\n\tpayload := GetJobAPIResponse{\n\t\tMeta: job,\n\t\tData: res,\n\t}\n\n\tif err := json.NewEncoder(bw).Encode(payload); err != nil {\n\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n}\n\n// editMeta godoc\n// @summary    Edit meta-data json of job identified by database id\n// @tags Job add and modify\n// @description Edit key value pairs in job metadata json of job specified by database id\n// @description If a key already exists its content will be overwritten\n// @accept      json\n// @produce     json\n// @param       id      path     int                  true \"Job Database ID\"\n// @param       request body     api.EditMetaRequest  true \"Metadata Key value pair to add or update\"\n// @success     200     {object} schema.Job                \"Updated job resource\"\n// @failure     400     {object} api.ErrorResponse         \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse         \"Unauthorized\"\n// @failure     404     {object} api.ErrorResponse         \"Job does not exist\"\n// @failure     500     {object} api.ErrorResponse         \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/jobs/edit_meta/{id} [patch]\nfunc (api *RestAPI) editMeta(rw http.ResponseWriter, r *http.Request) {\n\tid, err := strconv.ParseInt(chi.URLParam(r, \"id\"), 10, 64)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"parsing job ID failed: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tjob, err := api.JobRepository.FindByID(r.Context(), id)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n\t\treturn\n\t}\n\n\tvar req EditMetaRequest\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tif err := api.JobRepository.UpdateMetadata(job, req.Key, req.Value); err != nil {\n\t\thandleError(fmt.Errorf(\"updating metadata failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusOK)\n\tif err := json.NewEncoder(rw).Encode(job); err != nil {\n\t\tcclog.Errorf(\"Failed to encode job response: %v\", err)\n\t}\n}\n\n// editMetaByRequest godoc\n// @summary    Edit meta-data json of job identified by request\n// @tags Job add and modify\n// @description Edit key value pairs in metadata json of job specified by jobID, StartTime and Cluster\n// @description If a key already exists its content will be overwritten\n// @accept      json\n// @produce     json\n// @param       request body     api.JobMetaRequest   true \"Specifies job and payload to add or update\"\n// @success     200     {object} schema.Job                \"Updated job resource\"\n// @failure     400     {object} api.ErrorResponse         \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse         \"Unauthorized\"\n// @failure     404     {object} api.ErrorResponse         \"Job does not exist\"\n// @failure     500     {object} api.ErrorResponse         \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/jobs/edit_meta/ [patch]\nfunc (api *RestAPI) editMetaByRequest(rw http.ResponseWriter, r *http.Request) {\n\t// Parse request body\n\treq := JobMetaRequest{}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\t// Fetch job (that will have its meta_data edited) from db\n\tvar job *schema.Job\n\tvar err error\n\tif req.JobId == nil {\n\t\thandleError(errors.New(\"the field 'jobId' is required\"), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\t// log.Printf(\"loading db job for editMetaByRequest... : JobMetaRequest=%v\", req)\n\tjob, err = api.JobRepository.Find(req.JobId, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusUnprocessableEntity, rw)\n\t\treturn\n\t}\n\n\tif err := api.JobRepository.UpdateMetadata(job, req.Payload.Key, req.Payload.Value); err != nil {\n\t\thttp.Error(rw, err.Error(), http.StatusInternalServerError)\n\t\treturn\n\t}\n\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusOK)\n\tjson.NewEncoder(rw).Encode(job)\n}\n\n// tagJob godoc\n// @summary     Adds one or more tags to a job\n// @tags Job add and modify\n// @description Adds tag(s) to a job specified by DB ID. Name and Type of Tag(s) can be chosen freely.\n// @description Tag Scope for frontend visibility will default to \"global\" if none entered, other options: \"admin\" or specific username.\n// @description If tagged job is already finished: Tag will be written directly to respective archive files.\n// @accept      json\n// @produce     json\n// @param       id      path     int                  true \"Job Database ID\"\n// @param       request body     api.TagJobAPIRequest true \"Array of tag-objects to add\"\n// @success     200     {object} schema.Job                \"Updated job resource\"\n// @failure     400     {object} api.ErrorResponse         \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse         \"Unauthorized\"\n// @failure     404     {object} api.ErrorResponse         \"Job or tag does not exist\"\n// @failure     500     {object} api.ErrorResponse         \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/jobs/tag_job/{id} [post]\nfunc (api *RestAPI) tagJob(rw http.ResponseWriter, r *http.Request) {\n\tid, err := strconv.ParseInt(chi.URLParam(r, \"id\"), 10, 64)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"parsing job ID failed: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tjob, err := api.JobRepository.FindByID(r.Context(), id)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n\t\treturn\n\t}\n\n\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"getting tags failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\tvar req TagJobAPIRequest\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tfor _, tag := range req {\n\t\ttagID, err := api.JobRepository.AddTagOrCreate(repository.GetUserFromContext(r.Context()), *job.ID, tag.Type, tag.Name, tag.Scope)\n\t\tif err != nil {\n\t\t\thandleError(fmt.Errorf(\"adding tag failed: %w\", err), http.StatusInternalServerError, rw)\n\t\t\treturn\n\t\t}\n\n\t\tjob.Tags = append(job.Tags, &schema.Tag{\n\t\t\tID:    tagID,\n\t\t\tType:  tag.Type,\n\t\t\tName:  tag.Name,\n\t\t\tScope: tag.Scope,\n\t\t})\n\t}\n\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusOK)\n\tif err := json.NewEncoder(rw).Encode(job); err != nil {\n\t\tcclog.Errorf(\"Failed to encode job response: %v\", err)\n\t}\n}\n\n// removeTagJob godoc\n// @summary     Removes one or more tags from a job\n// @tags Job add and modify\n// @description Removes tag(s) from a job specified by DB ID. Name and Type of Tag(s) must match.\n// @description Tag Scope is required for matching, options: \"global\", \"admin\". Private tags can not be deleted via API.\n// @description If tagged job is already finished: Tag will be removed from respective archive files.\n// @accept      json\n// @produce     json\n// @param       id      path     int                  true \"Job Database ID\"\n// @param       request body     api.TagJobAPIRequest true \"Array of tag-objects to remove\"\n// @success     200     {object} schema.Job                \"Updated job resource\"\n// @failure     400     {object} api.ErrorResponse         \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse         \"Unauthorized\"\n// @failure     404     {object} api.ErrorResponse         \"Job or tag does not exist\"\n// @failure     500     {object} api.ErrorResponse         \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /jobs/tag_job/{id} [delete]\nfunc (api *RestAPI) removeTagJob(rw http.ResponseWriter, r *http.Request) {\n\tid, err := strconv.ParseInt(chi.URLParam(r, \"id\"), 10, 64)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"parsing job ID failed: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tjob, err := api.JobRepository.FindByID(r.Context(), id)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n\t\treturn\n\t}\n\n\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"getting tags failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\tvar req TagJobAPIRequest\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tfor _, rtag := range req {\n\t\t// Only Global and Admin Tags\n\t\tif rtag.Scope != \"global\" && rtag.Scope != \"admin\" {\n\t\t\tcclog.Warnf(\"Cannot delete private tag for job %d: Skip\", job.JobID)\n\t\t\tcontinue\n\t\t}\n\n\t\tremainingTags, err := api.JobRepository.RemoveJobTagByRequest(repository.GetUserFromContext(r.Context()), *job.ID, rtag.Type, rtag.Name, rtag.Scope)\n\t\tif err != nil {\n\t\t\thandleError(fmt.Errorf(\"removing tag failed: %w\", err), http.StatusInternalServerError, rw)\n\t\t\treturn\n\t\t}\n\n\t\tjob.Tags = remainingTags\n\t}\n\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusOK)\n\tif err := json.NewEncoder(rw).Encode(job); err != nil {\n\t\tcclog.Errorf(\"Failed to encode job response: %v\", err)\n\t}\n}\n\n// removeTags godoc\n// @summary     Removes all tags and job-relations for type:name tuple\n// @tags Tag remove\n// @description Removes tags by type and name. Name and Type of Tag(s) must match.\n// @description Tag Scope is required for matching, options: \"global\", \"admin\". Private tags can not be deleted via API.\n// @description Tag wills be removed from respective archive files.\n// @accept      json\n// @produce     plain\n// @param       request body     api.TagJobAPIRequest true \"Array of tag-objects to remove\"\n// @success     200     {string} string                    \"Success Response\"\n// @failure     400     {object} api.ErrorResponse         \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse         \"Unauthorized\"\n// @failure     404     {object} api.ErrorResponse         \"Job or tag does not exist\"\n// @failure     500     {object} api.ErrorResponse         \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /tags/ [delete]\nfunc (api *RestAPI) removeTags(rw http.ResponseWriter, r *http.Request) {\n\tvar req TagJobAPIRequest\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\ttargetCount := len(req)\n\tcurrentCount := 0\n\tfor _, rtag := range req {\n\t\t// Only Global and Admin Tags\n\t\tif rtag.Scope != \"global\" && rtag.Scope != \"admin\" {\n\t\t\tcclog.Warn(\"Cannot delete private tag: Skip\")\n\t\t\tcontinue\n\t\t}\n\n\t\terr := api.JobRepository.RemoveTagByRequest(rtag.Type, rtag.Name, rtag.Scope)\n\t\tif err != nil {\n\t\t\thandleError(fmt.Errorf(\"removing tag failed: %w\", err), http.StatusInternalServerError, rw)\n\t\t\treturn\n\t\t}\n\t\tcurrentCount++\n\t}\n\n\trw.WriteHeader(http.StatusOK)\n\tfmt.Fprintf(rw, \"Deleted Tags from DB: %d successfull of %d requested\\n\", currentCount, targetCount)\n}\n\n// startJob godoc\n// @summary     Adds a new job as \"running\"\n// @tags Job add and modify\n// @description Job specified in request body will be saved to database as \"running\" with new DB ID.\n// @description Job specifications follow the 'Job' scheme, API will fail to execute if requirements are not met.\n// @accept      json\n// @produce     json\n// @param       request body     schema.Job true \"Job to add\"\n// @success     201     {object} api.DefaultAPIResponse    \"Job added successfully\"\n// @failure     400     {object} api.ErrorResponse            \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse            \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse            \"Forbidden\"\n// @failure     422     {object} api.ErrorResponse            \"Unprocessable Entity: The combination of jobId, clusterId and startTime does already exist\"\n// @failure     500     {object} api.ErrorResponse            \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/jobs/start_job/ [post]\nfunc (api *RestAPI) startJob(rw http.ResponseWriter, r *http.Request) {\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"REST: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\thandleError(err, http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\t// aquire lock to avoid race condition between API calls\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\t// Check if combination of (job_id, cluster_id, start_time) already exists:\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\thandleError(fmt.Errorf(\"checking for duplicate failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\t// Check if jobs are within the same day (prevent duplicates)\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\thandleError(fmt.Errorf(\"a job with that jobId, cluster and startTime already exists: dbid: %d, jobid: %d\", *job.ID, job.JobID), http.StatusUnprocessableEntity, rw)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\t// Jobs without tags use the cache path as before.\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"insert into database failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\t// unlock here, adding Tags can be async\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(repository.GetUserFromContext(r.Context()), id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\thandleError(fmt.Errorf(\"adding tag to new job %d failed: %w\", id, err), http.StatusInternalServerError, rw)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\", id, req.Cluster, req.JobID, req.User, req.StartTime)\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusCreated)\n\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{\n\t\tMessage: \"success\",\n\t}); err != nil {\n\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n\t}\n}\n\n// stopJobByRequest godoc\n// @summary     Marks job as completed and triggers archiving\n// @tags Job add and modify\n// @description Job to stop is specified by request body. All fields are required in this case.\n// @description Returns full job resource information according to 'Job' scheme.\n// @produce     json\n// @param       request body     api.StopJobAPIRequest true \"All fields required\"\n// @success     200     {object} schema.Job                 \"Success message\"\n// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: job has already been stopped\"\n// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/jobs/stop_job/ [post]\nfunc (api *RestAPI) stopJobByRequest(rw http.ResponseWriter, r *http.Request) {\n\t// Parse request body\n\treq := StopJobAPIRequest{}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\t// Fetch job (that will be stopped) from db\n\tvar job *schema.Job\n\tvar err error\n\tif req.JobID == nil {\n\t\thandleError(errors.New(\"the field 'jobId' is required\"), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err = api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tapi.checkAndHandleStopJob(rw, job, req, isCached)\n}\n\n// deleteJobByID godoc\n// @summary     Remove a job from the sql database\n// @tags Job remove\n// @description Job to remove is specified by database ID. This will not remove the job from the job archive.\n// @produce     json\n// @param       id      path     int                   true \"Database ID of Job\"\n// @success     200     {object} api.DefaultAPIResponse  \"Success message\"\n// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/jobs/delete_job/{id} [delete]\nfunc (api *RestAPI) deleteJobByID(rw http.ResponseWriter, r *http.Request) {\n\t// Fetch job (that will be stopped) from db\n\tid := chi.URLParam(r, \"id\")\n\tvar err error\n\tif id != \"\" {\n\t\tid, e := strconv.ParseInt(id, 10, 64)\n\t\tif e != nil {\n\t\t\thandleError(fmt.Errorf(\"integer expected in path for id: %w\", e), http.StatusBadRequest, rw)\n\t\t\treturn\n\t\t}\n\n\t\terr = api.JobRepository.DeleteJobByID(id)\n\t} else {\n\t\thandleError(errors.New(\"the parameter 'id' is required\"), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"deleting job failed: %w\", err), http.StatusUnprocessableEntity, rw)\n\t\treturn\n\t}\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusOK)\n\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{\n\t\tMessage: fmt.Sprintf(\"Successfully deleted job %s\", id),\n\t}); err != nil {\n\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n\t}\n}\n\n// deleteJobByRequest godoc\n// @summary     Remove a job from the sql database\n// @tags Job remove\n// @description Job to delete is specified by request body. All fields are required in this case.\n// @accept      json\n// @produce     json\n// @param       request body     api.DeleteJobAPIRequest true \"All fields required\"\n// @success     200     {object} api.DefaultAPIResponse  \"Success message\"\n// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/jobs/delete_job/ [delete]\nfunc (api *RestAPI) deleteJobByRequest(rw http.ResponseWriter, r *http.Request) {\n\t// Parse request body\n\treq := DeleteJobAPIRequest{}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\t// Fetch job (that will be deleted) from db\n\tvar job *schema.Job\n\tvar err error\n\tif req.JobID == nil {\n\t\thandleError(errors.New(\"the field 'jobId' is required\"), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusUnprocessableEntity, rw)\n\t\treturn\n\t}\n\n\terr = api.JobRepository.DeleteJobByID(*job.ID)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"deleting job failed: %w\", err), http.StatusUnprocessableEntity, rw)\n\t\treturn\n\t}\n\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusOK)\n\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{\n\t\tMessage: fmt.Sprintf(\"Successfully deleted job %d\", *job.ID),\n\t}); err != nil {\n\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n\t}\n}\n\n// deleteJobBefore godoc\n// @summary     Remove a job from the sql database\n// @tags Job remove\n// @description Remove all jobs with start time before timestamp. The jobs will not be removed from the job archive.\n// @produce     json\n// @param       ts      path     int                   true \"Unix epoch timestamp\"\n// @success     200     {object} api.DefaultAPIResponse  \"Success message\"\n// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/jobs/delete_job_before/{ts} [delete]\n// @param       omit-tagged query bool false \"Omit jobs with tags from deletion\"\nfunc (api *RestAPI) deleteJobBefore(rw http.ResponseWriter, r *http.Request) {\n\tvar cnt int\n\t// Fetch job (that will be stopped) from db\n\tid := chi.URLParam(r, \"ts\")\n\tvar err error\n\tif id != \"\" {\n\t\tts, e := strconv.ParseInt(id, 10, 64)\n\t\tif e != nil {\n\t\t\thandleError(fmt.Errorf(\"integer expected in path for ts: %w\", e), http.StatusBadRequest, rw)\n\t\t\treturn\n\t\t}\n\n\t\t// Check for omit-tagged query parameter\n\t\tomitTagged := \"none\"\n\t\tif omitTaggedStr := r.URL.Query().Get(\"omit-tagged\"); omitTaggedStr != \"\" {\n\t\t\tswitch omitTaggedStr {\n\t\t\tcase \"none\", \"all\", \"user\":\n\t\t\t\tomitTagged = omitTaggedStr\n\t\t\tdefault:\n\t\t\t\thandleError(fmt.Errorf(\"omit-tagged must be one of: none, all, user\"), http.StatusBadRequest, rw)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\n\t\tcnt, err = api.JobRepository.DeleteJobsBefore(ts, omitTagged)\n\t} else {\n\t\thandleError(errors.New(\"the parameter 'ts' is required\"), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"deleting jobs failed: %w\", err), http.StatusUnprocessableEntity, rw)\n\t\treturn\n\t}\n\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusOK)\n\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{\n\t\tMessage: fmt.Sprintf(\"Successfully deleted %d jobs\", cnt),\n\t}); err != nil {\n\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n\t}\n}\n\nfunc (api *RestAPI) checkAndHandleStopJob(rw http.ResponseWriter, job *schema.Job, req StopJobAPIRequest, isCached bool) {\n\t// Sanity checks\n\tif job.State != schema.JobStateRunning {\n\t\thandleError(fmt.Errorf(\"jobId %d (id %d) on %s : job has already been stopped (state is: %s)\", job.JobID, *job.ID, job.Cluster, job.State), http.StatusUnprocessableEntity, rw)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\thandleError(fmt.Errorf(\"jobId %d (id %d) on %s : stopTime %d must be larger/equal than startTime %d\", job.JobID, *job.ID, job.Cluster, req.StopTime, job.StartTime), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\thandleError(fmt.Errorf(\"jobId %d (id %d) on %s : invalid requested job state: %#v\", job.JobID, *job.ID, job.Cluster, req.State), http.StatusBadRequest, rw)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\t// Mark job as stopped in the database (update state and duration)\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\t// so that job.ID always points to the job table for downstream code\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\thandleError(fmt.Errorf(\"jobId %d (id %d) on %s : transferring cached job failed: %w\", job.JobID, *job.ID, job.Cluster, err), http.StatusInternalServerError, rw)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\thandleError(fmt.Errorf(\"jobId %d (id %d) on %s : marking job as '%s' (duration: %d) in DB failed: %w\", job.JobID, *job.ID, job.Cluster, job.State, job.Duration, err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"archiving job... (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\", *job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\t// Send a response (with status OK). This means that errors that happen from here on forward\n\t// can *NOT* be communicated to the client. If reading from a MetricDataRepository or\n\t// writing to the filesystem fails, the client will not know.\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusOK)\n\tif err := json.NewEncoder(rw).Encode(job); err != nil {\n\t\tcclog.Errorf(\"Failed to encode job response: %v\", err)\n\t}\n\n\t// Monitoring is disabled...\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\t// Trigger async archiving\n\tarchiver.TriggerArchiving(job)\n}\n\nfunc (api *RestAPI) getJobMetrics(rw http.ResponseWriter, r *http.Request) {\n\tid := chi.URLParam(r, \"id\")\n\tmetrics := r.URL.Query()[\"metric\"]\n\tvar scopes []schema.MetricScope\n\tfor _, scope := range r.URL.Query()[\"scope\"] {\n\t\tvar s schema.MetricScope\n\t\tif err := s.UnmarshalGQL(scope); err != nil {\n\t\t\thandleError(fmt.Errorf(\"unmarshaling scope failed: %w\", err), http.StatusBadRequest, rw)\n\t\t\treturn\n\t\t}\n\t\tscopes = append(scopes, s)\n\t}\n\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusOK)\n\n\ttype Response struct {\n\t\tData *struct {\n\t\t\tJobMetrics []*model.JobMetricWithName `json:\"jobMetrics\"`\n\t\t} `json:\"data\"`\n\t\tError *struct {\n\t\t\tMessage string `json:\"message\"`\n\t\t} `json:\"error\"`\n\t}\n\n\tresolver := graph.GetResolverInstance()\n\tdata, err := resolver.Query().JobMetrics(r.Context(), id, metrics, scopes, nil)\n\tif err != nil {\n\t\tif err := json.NewEncoder(rw).Encode(Response{\n\t\t\tError: &struct {\n\t\t\t\tMessage string `json:\"message\"`\n\t\t\t}{Message: err.Error()},\n\t\t}); err != nil {\n\t\t\tcclog.Errorf(\"Failed to encode error response: %v\", err)\n\t\t}\n\t\treturn\n\t}\n\n\tif err := json.NewEncoder(rw).Encode(Response{\n\t\tData: &struct {\n\t\t\tJobMetrics []*model.JobMetricWithName `json:\"jobMetrics\"`\n\t\t}{JobMetrics: data},\n\t}); err != nil {\n\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n\t}\n}\n\n// GetUsedNodesAPIResponse model\ntype GetUsedNodesAPIResponse struct {\n\tUsedNodes map[string][]string `json:\"usedNodes\"` // Map of cluster names to lists of used node hostnames\n}\n\n// getUsedNodes godoc\n// @summary     Lists used nodes by cluster\n// @tags Job query\n// @description Get a map of cluster names to lists of unique hostnames that are currently in use by running jobs that started before the specified timestamp.\n// @produce     json\n// @param       ts             query    int               true  \"Unix timestamp to filter jobs (jobs with start_time < ts)\"\n// @success     200            {object} api.GetUsedNodesAPIResponse  \"Map of cluster names to hostname lists\"\n// @failure     400            {object} api.ErrorResponse            \"Bad Request\"\n// @failure     401            {object} api.ErrorResponse            \"Unauthorized\"\n// @failure     403            {object} api.ErrorResponse            \"Forbidden\"\n// @failure     500            {object} api.ErrorResponse            \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/jobs/used_nodes [get]\nfunc (api *RestAPI) getUsedNodes(rw http.ResponseWriter, r *http.Request) {\n\tif user := repository.GetUserFromContext(r.Context()); user != nil &&\n\t\t!user.HasRole(schema.RoleAPI) {\n\t\thandleError(fmt.Errorf(\"missing role: %v\", schema.GetRoleString(schema.RoleAPI)), http.StatusForbidden, rw)\n\t\treturn\n\t}\n\n\ttsStr := r.URL.Query().Get(\"ts\")\n\tif tsStr == \"\" {\n\t\thandleError(fmt.Errorf(\"missing required query parameter: ts\"), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tts, err := strconv.ParseInt(tsStr, 10, 64)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"invalid timestamp format: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tusedNodes, err := api.JobRepository.GetUsedNodes(ts)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"failed to get used nodes: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\tpayload := GetUsedNodesAPIResponse{\n\t\tUsedNodes: usedNodes,\n\t}\n\n\tif err := json.NewEncoder(rw).Encode(payload); err != nil {\n\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n}\n","structuredPatch":[{"oldStart":397,"oldLines":7,"newStart":397,"newLines":7,"lines":["     resolution = max(resolution, mc.Timestep)","   }"," ","-  data, err := metricdispatch.LoadData(job, metrics, scopes, r.Context(), resolution)","+  data, err := metricdispatch.LoadData(job, metrics, scopes, r.Context(), resolution, \"\")","   if err != nil {","     cclog.Warnf(\"REST: error while loading job data for JobID %d on %s\", job.JobID, job.Cluster)","     return"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"1504dc0b-c24b-42a3-ab0c-3fbba5c4571e","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage archiver\n\nimport (\n\t\"context\"\n\t\"math\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// ArchiveJob archives a completed job's metric data to the configured archive backend.\n//\n// This function performs the following operations:\n//  1. Loads all metric data for the job from the metric data repository\n//  2. Calculates job-level statistics (avg, min, max) for each metric\n//  3. Stores the job metadata and metric data to the archive backend\n//\n// Metric data is retrieved at the highest available resolution (typically 60s)\n// for the following scopes:\n//   - Node scope (always)\n//   - Core scope (for jobs with ≤8 nodes, to reduce data volume)\n//   - Accelerator scope (if job used accelerators)\n//\n// The function respects context cancellation. If ctx is cancelled (e.g., during\n// shutdown timeout), the operation will be interrupted and return an error.\n//\n// Parameters:\n//   - job: The job to archive (must be a completed job)\n//   - ctx: Context for cancellation and timeout control\n//\n// Returns:\n//   - *schema.Job with populated Statistics field\n//   - error if data loading or archiving fails\n//\n// If config.Keys.DisableArchive is true, only job statistics are calculated\n// and returned (no data is written to archive backend).\nfunc ArchiveJob(job *schema.Job, ctx context.Context) (*schema.Job, error) {\n\tallMetrics := make([]string, 0)\n\tmetricConfigs := archive.GetCluster(job.Cluster).MetricConfig\n\tfor _, mc := range metricConfigs {\n\t\tallMetrics = append(allMetrics, mc.Name)\n\t}\n\n\tscopes := []schema.MetricScope{schema.MetricScopeNode}\n\t// FIXME: Add a config option for this\n\tif job.NumNodes <= 8 {\n\t\t// This will add the native scope if core scope is not available\n\t\tscopes = append(scopes, schema.MetricScopeCore)\n\t}\n\n\tif job.NumAcc > 0 {\n\t\tscopes = append(scopes, schema.MetricScopeAccelerator)\n\t}\n\n\tjobData, err := metricdispatch.LoadData(job, allMetrics, scopes, ctx, 0) // 0 Resulotion-Value retrieves highest res (60s)\n\tif err != nil {\n\t\tcclog.Error(\"Error wile loading job data for archiving\")\n\t\treturn nil, err\n\t}\n\n\tjob.Statistics = make(map[string]schema.JobStatistics)\n\n\tfor metric, data := range jobData {\n\t\tavg, min, max := 0.0, math.MaxFloat32, -math.MaxFloat32\n\t\tnodeData, ok := data[\"node\"]\n\t\tif !ok {\n\t\t\t// This should never happen ?\n\t\t\tcontinue\n\t\t}\n\n\t\tfor _, series := range nodeData.Series {\n\t\t\tavg += series.Statistics.Avg\n\t\t\tmin = math.Min(min, series.Statistics.Min)\n\t\t\tmax = math.Max(max, series.Statistics.Max)\n\t\t}\n\n\t\t// Round AVG Result to 2 Digits\n\t\tjob.Statistics[metric] = schema.JobStatistics{\n\t\t\tUnit: schema.Unit{\n\t\t\t\tPrefix: archive.GetMetricConfig(job.Cluster, metric).Unit.Prefix,\n\t\t\t\tBase:   archive.GetMetricConfig(job.Cluster, metric).Unit.Base,\n\t\t\t},\n\t\t\tAvg: (math.Round((avg/float64(job.NumNodes))*100) / 100),\n\t\t\tMin: min,\n\t\t\tMax: max,\n\t\t}\n\t}\n\n\treturn job, archive.GetHandle().ImportJob(job, &jobData)\n}\n","structuredPatch":[{"oldStart":59,"oldLines":7,"newStart":59,"newLines":7,"lines":["     scopes = append(scopes, schema.MetricScopeAccelerator)","   }"," ","-  jobData, err := metricdispatch.LoadData(job, allMetrics, scopes, ctx, 0) // 0 Resulotion-Value retrieves highest res (60s)","+  jobData, err := metricdispatch.LoadData(job, allMetrics, scopes, ctx, 0, \"\") // 0 Resulotion-Value retrieves highest res (60s)","   if err != nil {","     cclog.Error(\"Error wile loading job data for archiving\")","     return nil, err"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"22e7bb73-7d9c-4589-a1c5-aa4d6b19b8f2","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage graph\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"math\"\n\t\"slices\"\n\n\t\"github.com/99designs/gqlgen/graphql\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\nconst MAX_JOBS_FOR_ANALYSIS = 500\n\n// Helper function for the rooflineHeatmap GraphQL query placed here so that schema.resolvers.go is not too full.\nfunc (r *queryResolver) rooflineHeatmap(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\trows int, cols int,\n\tminX float64, minY float64, maxX float64, maxY float64,\n) ([][]float64, error) {\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, &model.PageRequest{Page: 1, ItemsPerPage: MAX_JOBS_FOR_ANALYSIS + 1}, nil)\n\tif err != nil {\n\t\tcclog.Error(\"Error while querying jobs for roofline\")\n\t\treturn nil, err\n\t}\n\tif len(jobs) > MAX_JOBS_FOR_ANALYSIS {\n\t\treturn nil, fmt.Errorf(\"GRAPH/UTIL > too many jobs matched (max: %d)\", MAX_JOBS_FOR_ANALYSIS)\n\t}\n\n\tfcols, frows := float64(cols), float64(rows)\n\tminX, minY, maxX, maxY = math.Log10(minX), math.Log10(minY), math.Log10(maxX), math.Log10(maxY)\n\ttiles := make([][]float64, rows)\n\tfor i := range tiles {\n\t\ttiles[i] = make([]float64, cols)\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\t// metricConfigs := archive.GetCluster(job.Cluster).MetricConfig\n\t\t// resolution := 0\n\n\t\t// for _, mc := range metricConfigs {\n\t\t// \tresolution = max(resolution, mc.Timestep)\n\t\t// }\n\n\t\tjobdata, err := metricdispatch.LoadData(job, []string{\"flops_any\", \"mem_bw\"}, []schema.MetricScope{schema.MetricScopeNode}, ctx, 0)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading roofline metrics for job %d\", *job.ID)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tflops_, membw_ := jobdata[\"flops_any\"], jobdata[\"mem_bw\"]\n\t\tif flops_ == nil && membw_ == nil {\n\t\t\tcclog.Warnf(\"rooflineHeatmap(): 'flops_any' or 'mem_bw' missing for job %d\", *job.ID)\n\t\t\tcontinue\n\t\t\t// return nil, fmt.Errorf(\"GRAPH/UTIL > 'flops_any' or 'mem_bw' missing for job %d\", job.ID)\n\t\t}\n\n\t\tflops, ok1 := flops_[\"node\"]\n\t\tmembw, ok2 := membw_[\"node\"]\n\t\tif !ok1 || !ok2 {\n\t\t\tcclog.Info(\"rooflineHeatmap() query not implemented for where flops_any or mem_bw not available at 'node' level\")\n\t\t\tcontinue\n\t\t\t// TODO/FIXME:\n\t\t\t// return nil, errors.New(\"GRAPH/UTIL > todo: rooflineHeatmap() query not implemented for where flops_any or mem_bw not available at 'node' level\")\n\t\t}\n\n\t\tfor n := 0; n < len(flops.Series); n++ {\n\t\t\tflopsSeries, membwSeries := flops.Series[n], membw.Series[n]\n\t\t\tfor i := 0; i < len(flopsSeries.Data); i++ {\n\t\t\t\tif i >= len(membwSeries.Data) {\n\t\t\t\t\tbreak\n\t\t\t\t}\n\n\t\t\t\tx, y := math.Log10(float64(flopsSeries.Data[i]/membwSeries.Data[i])), math.Log10(float64(flopsSeries.Data[i]))\n\t\t\t\tif math.IsNaN(x) || math.IsNaN(y) || x < minX || x >= maxX || y < minY || y > maxY {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tx, y = math.Floor(((x-minX)/(maxX-minX))*fcols), math.Floor(((y-minY)/(maxY-minY))*frows)\n\t\t\t\tif x < 0 || x >= fcols || y < 0 || y >= frows {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\ttiles[int(y)][int(x)] += 1\n\t\t\t}\n\t\t}\n\t}\n\n\treturn tiles, nil\n}\n\n// Helper function for the jobsFootprints GraphQL query placed here so that schema.resolvers.go is not too full.\nfunc (r *queryResolver) jobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, &model.PageRequest{Page: 1, ItemsPerPage: MAX_JOBS_FOR_ANALYSIS + 1}, nil)\n\tif err != nil {\n\t\tcclog.Error(\"Error while querying jobs for footprint\")\n\t\treturn nil, err\n\t}\n\tif len(jobs) > MAX_JOBS_FOR_ANALYSIS {\n\t\treturn nil, fmt.Errorf(\"GRAPH/UTIL > too many jobs matched (max: %d)\", MAX_JOBS_FOR_ANALYSIS)\n\t}\n\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\ttimeweights := new(model.TimeWeights)\n\ttimeweights.NodeHours = make([]schema.Float, 0, len(jobs))\n\ttimeweights.AccHours = make([]schema.Float, 0, len(jobs))\n\ttimeweights.CoreHours = make([]schema.Float, 0, len(jobs))\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Error(\"Error while loading averages for footprint\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// #166 collect arrays: Null values or no null values?\n\t\ttimeweights.NodeHours = append(timeweights.NodeHours, schema.Float(float64(job.Duration)/60.0*float64(job.NumNodes)))\n\t\tif job.NumAcc > 0 {\n\t\t\ttimeweights.AccHours = append(timeweights.AccHours, schema.Float(float64(job.Duration)/60.0*float64(job.NumAcc)))\n\t\t} else {\n\t\t\ttimeweights.AccHours = append(timeweights.AccHours, schema.Float(1.0))\n\t\t}\n\t\tif job.NumHWThreads > 0 {\n\t\t\ttimeweights.CoreHours = append(timeweights.CoreHours, schema.Float(float64(job.Duration)/60.0*float64(job.NumHWThreads))) // SQLite HWThreads == Cores; numCoresForJob(job)\n\t\t} else {\n\t\t\ttimeweights.CoreHours = append(timeweights.CoreHours, schema.Float(1.0))\n\t\t}\n\t}\n\n\tres := make([]*model.MetricFootprints, len(avgs))\n\tfor i, arr := range avgs {\n\t\tres[i] = &model.MetricFootprints{\n\t\t\tMetric: metrics[i],\n\t\t\tData:   arr,\n\t\t}\n\t}\n\n\treturn &model.Footprints{\n\t\tTimeWeights: timeweights,\n\t\tMetrics:     res,\n\t}, nil\n}\n\n// func numCoresForJob(job *schema.Job) (numCores int) {\n\n// \tsubcluster, scerr := archive.GetSubCluster(job.Cluster, job.SubCluster)\n// \tif scerr != nil {\n// \t\treturn 1\n// \t}\n\n// \ttotalJobCores := 0\n// \ttopology := subcluster.Topology\n\n// \tfor _, host := range job.Resources {\n// \t\thwthreads := host.HWThreads\n// \t\tif hwthreads == nil {\n// \t\t\thwthreads = topology.Node\n// \t\t}\n\n// \t\thostCores, _ := topology.GetCoresFromHWThreads(hwthreads)\n// \t\ttotalJobCores += len(hostCores)\n// \t}\n\n// \treturn totalJobCores\n// }\n\nfunc requireField(ctx context.Context, name string) bool {\n\tfields := graphql.CollectAllFields(ctx)\n\n\treturn slices.Contains(fields, name)\n}\n","structuredPatch":[{"oldStart":55,"oldLines":7,"newStart":55,"newLines":7,"lines":["     // \tresolution = max(resolution, mc.Timestep)","     // }"," ","-    jobdata, err := metricdispatch.LoadData(job, []string{\"flops_any\", \"mem_bw\"}, []schema.MetricScope{schema.MetricScopeNode}, ctx, 0)","+    jobdata, err := metricdispatch.LoadData(job, []string{\"flops_any\", \"mem_bw\"}, []schema.MetricScope{schema.MetricScopeNode}, ctx, 0, \"\")","     if err != nil {","       cclog.Warnf(\"Error while loading roofline metrics for job %d\", *job.ID)","       return nil, err"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"8c0f4fb6-de1f-4362-907f-f36503bdcf49","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricdispatch provides a unified interface for loading and caching job metric data.\n//\n// This package serves as a central dispatcher that routes metric data requests to the appropriate\n// backend based on job state. For running jobs, data is fetched from the metric store (e.g., cc-metric-store).\n// For completed jobs, data is retrieved from the file-based job archive.\n//\n// # Key Features\n//\n//   - Automatic backend selection based on job state (running vs. archived)\n//   - LRU cache for performance optimization (128 MB default cache size)\n//   - Data resampling using Largest Triangle Three Bucket algorithm for archived data\n//   - Automatic statistics series generation for jobs with many nodes\n//   - Support for scoped metrics (node, socket, accelerator, core)\n//\n// # Cache Behavior\n//\n// Cached data has different TTL (time-to-live) values depending on job state:\n//   - Running jobs: 2 minutes (data changes frequently)\n//   - Completed jobs: 5 hours (data is static)\n//\n// The cache key is based on job ID, state, requested metrics, scopes, and resolution.\n//\n// # Usage\n//\n// The primary entry point is LoadData, which automatically handles both running and archived jobs:\n//\n//\tjobData, err := metricdispatch.LoadData(job, metrics, scopes, ctx, resolution)\n//\tif err != nil {\n//\t    // Handle error\n//\t}\n//\n// For statistics only, use LoadJobStats, LoadScopedJobStats, or LoadAverages depending on the required format.\npackage metricdispatch\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"math\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// cache is an LRU cache with 128 MB capacity for storing loaded job metric data.\n// The cache reduces load on both the metric store and archive backends.\nvar cache *lrucache.Cache = lrucache.New(128 * 1024 * 1024)\n\n// cacheKey generates a unique cache key for a job's metric data based on job ID, state,\n// requested metrics, scopes, and resolution. Duration and StartTime are intentionally excluded\n// because job.ID is more unique and the cache TTL ensures entries don't persist indefinitely.\nfunc cacheKey(\n\tjob *schema.Job,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tresolution int,\n\tresampleAlgo string,\n) string {\n\treturn fmt.Sprintf(\"%d(%s):[%v],[%v]-%d-%s\",\n\t\t*job.ID, job.State, metrics, scopes, resolution, resampleAlgo)\n}\n\n// LoadData retrieves metric data for a job from the appropriate backend (memory store for running jobs,\n// archive for completed jobs) and applies caching, resampling, and statistics generation as needed.\n//\n// For running jobs or when archive is disabled, data is fetched from the metric store.\n// For completed archived jobs, data is loaded from the job archive and resampled if needed.\n//\n// Parameters:\n//   - job: The job for which to load metric data\n//   - metrics: List of metric names to load (nil loads all metrics for the cluster)\n//   - scopes: Metric scopes to include (nil defaults to node scope)\n//   - ctx: Context for cancellation and timeouts\n//   - resolution: Target number of data points for resampling (only applies to archived data)\n//\n// Returns the loaded job data and any error encountered. For partial errors (some metrics failed),\n// the function returns the successfully loaded data with a warning logged.\nfunc LoadData(job *schema.Job,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tctx context.Context,\n\tresolution int,\n\tresampleAlgo string,\n) (schema.JobData, error) {\n\tdata := cache.Get(cacheKey(job, metrics, scopes, resolution, resampleAlgo), func() (_ any, ttl time.Duration, size int) {\n\t\tvar jd schema.JobData\n\t\tvar err error\n\n\t\tif job.State == schema.JobStateRunning ||\n\t\t\tjob.MonitoringStatus == schema.MonitoringStatusRunningOrArchiving {\n\n\t\t\tms, err := GetMetricDataRepo(job.Cluster, job.SubCluster)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\t\t\tjob.Cluster, job.SubCluster, err.Error())\n\t\t\t\treturn err, 0, 0\n\t\t\t}\n\n\t\t\tif scopes == nil {\n\t\t\t\tscopes = append(scopes, schema.MetricScopeNode)\n\t\t\t}\n\n\t\t\tif metrics == nil {\n\t\t\t\tcluster := archive.GetCluster(job.Cluster)\n\t\t\t\tfor _, mc := range cluster.MetricConfig {\n\t\t\t\t\tmetrics = append(metrics, mc.Name)\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tjd, err = ms.LoadData(job, metrics, scopes, ctx, resolution)\n\t\t\tif err != nil {\n\t\t\t\tif len(jd) != 0 {\n\t\t\t\t\tcclog.Warnf(\"partial error loading metrics from store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\t\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tcclog.Warnf(\"failed to load job data from metric store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\t\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\t\t\t\treturn err, 0, 0\n\t\t\t\t}\n\t\t\t}\n\t\t\tsize = jd.Size()\n\t\t} else {\n\t\t\tvar jdTemp schema.JobData\n\t\t\tjdTemp, err = archive.GetHandle().LoadJobData(job)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Warnf(\"failed to load job data from archive for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\t\t\treturn err, 0, 0\n\t\t\t}\n\n\t\t\tjd = deepCopy(jdTemp)\n\n\t\t\t// Resample archived data to reduce data points to the requested resolution,\n\t\t\t// improving transfer performance and client-side rendering.\n\t\t\tresampleFn, rfErr := resampler.GetResampler(resampleAlgo)\n\t\t\tif rfErr != nil {\n\t\t\t\treturn rfErr, 0, 0\n\t\t\t}\n\t\t\tfor _, v := range jd {\n\t\t\t\tfor _, v_ := range v {\n\t\t\t\t\ttimestep := int64(0)\n\t\t\t\t\tfor i := 0; i < len(v_.Series); i += 1 {\n\t\t\t\t\t\tv_.Series[i].Data, timestep, err = resampleFn(v_.Series[i].Data, int64(v_.Timestep), int64(resolution))\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\treturn err, 0, 0\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\tv_.Timestep = int(timestep)\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Filter job data to only include requested metrics and scopes, avoiding unnecessary data transfer.\n\t\t\tif metrics != nil || scopes != nil {\n\t\t\t\tif metrics == nil {\n\t\t\t\t\tmetrics = make([]string, 0, len(jd))\n\t\t\t\t\tfor k := range jd {\n\t\t\t\t\t\tmetrics = append(metrics, k)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\tres := schema.JobData{}\n\t\t\t\tfor _, metric := range metrics {\n\t\t\t\t\tif perscope, ok := jd[metric]; ok {\n\t\t\t\t\t\tif len(perscope) > 1 {\n\t\t\t\t\t\t\tsubset := make(map[schema.MetricScope]*schema.JobMetric)\n\t\t\t\t\t\t\tfor _, scope := range scopes {\n\t\t\t\t\t\t\t\tif jm, ok := perscope[scope]; ok {\n\t\t\t\t\t\t\t\t\tsubset[scope] = jm\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\tif len(subset) > 0 {\n\t\t\t\t\t\t\t\tperscope = subset\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tres[metric] = perscope\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tjd = res\n\t\t\t}\n\t\t\tsize = jd.Size()\n\t\t}\n\n\t\tttl = 5 * time.Hour\n\t\tif job.State == schema.JobStateRunning {\n\t\t\tttl = 2 * time.Minute\n\t\t}\n\n\t\t// Generate statistics series for jobs with many nodes to enable min/median/max graphs\n\t\t// instead of overwhelming the UI with individual node lines. Note that newly calculated\n\t\t// statistics use min/median/max, while archived statistics may use min/mean/max.\n\t\tconst maxSeriesSize int = 8\n\t\tfor _, scopes := range jd {\n\t\t\tfor _, jm := range scopes {\n\t\t\t\tif jm.StatisticsSeries != nil || len(jm.Series) < maxSeriesSize {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tjm.AddStatisticsSeries()\n\t\t\t}\n\t\t}\n\n\t\tnodeScopeRequested := false\n\t\tfor _, scope := range scopes {\n\t\t\tif scope == schema.MetricScopeNode {\n\t\t\t\tnodeScopeRequested = true\n\t\t\t}\n\t\t}\n\n\t\tif nodeScopeRequested {\n\t\t\tjd.AddNodeScope(\"flops_any\")\n\t\t\tjd.AddNodeScope(\"mem_bw\")\n\t\t}\n\n\t\t// Round Resulting Stat Values\n\t\tjd.RoundMetricStats()\n\n\t\treturn jd, ttl, size\n\t})\n\n\tif err, ok := data.(error); ok {\n\t\tcclog.Errorf(\"error in cached dataset for job %d: %s\", job.JobID, err.Error())\n\t\treturn nil, err\n\t}\n\n\treturn data.(schema.JobData), nil\n}\n\n// LoadAverages computes average values for the specified metrics across all nodes of a job.\n// For running jobs, it loads statistics from the metric store. For completed jobs, it uses\n// the pre-calculated averages from the job archive. The results are appended to the data slice.\nfunc LoadAverages(\n\tjob *schema.Job,\n\tmetrics []string,\n\tdata [][]schema.Float,\n\tctx context.Context,\n) error {\n\tif job.State != schema.JobStateRunning {\n\t\treturn archive.LoadAveragesFromArchive(job, metrics, data) // #166 change also here?\n\t}\n\n\tms, err := GetMetricDataRepo(job.Cluster, job.SubCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\tjob.Cluster, job.SubCluster, err.Error())\n\t\treturn err\n\t}\n\n\tstats, err := ms.LoadStats(job, metrics, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"failed to load statistics from metric store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\treturn err\n\t}\n\n\tfor i, m := range metrics {\n\t\tnodes, ok := stats[m]\n\t\tif !ok {\n\t\t\tdata[i] = append(data[i], schema.NaN)\n\t\t\tcontinue\n\t\t}\n\n\t\tsum := 0.0\n\t\tfor _, node := range nodes {\n\t\t\tsum += node.Avg\n\t\t}\n\t\tdata[i] = append(data[i], schema.Float(sum))\n\t}\n\n\treturn nil\n}\n\n// LoadScopedJobStats retrieves job statistics organized by metric scope (node, socket, core, accelerator).\n// For running jobs, statistics are computed from the metric store. For completed jobs, pre-calculated\n// statistics are loaded from the job archive.\nfunc LoadScopedJobStats(\n\tjob *schema.Job,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tctx context.Context,\n) (schema.ScopedJobStats, error) {\n\tif job.State != schema.JobStateRunning {\n\t\treturn archive.LoadScopedStatsFromArchive(job, metrics, scopes)\n\t}\n\n\tms, err := GetMetricDataRepo(job.Cluster, job.SubCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\tjob.Cluster, job.SubCluster, err.Error())\n\t\treturn nil, err\n\t}\n\n\tscopedStats, err := ms.LoadScopedStats(job, metrics, scopes, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"failed to load scoped statistics from metric store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\treturn nil, err\n\t}\n\n\t// Round Resulting Stat Values\n\tscopedStats.RoundScopedMetricStats()\n\n\treturn scopedStats, nil\n}\n\n// LoadJobStats retrieves aggregated statistics (min/avg/max) for each requested metric across all job nodes.\n// For running jobs, statistics are computed from the metric store. For completed jobs, pre-calculated\n// statistics are loaded from the job archive.\nfunc LoadJobStats(\n\tjob *schema.Job,\n\tmetrics []string,\n\tctx context.Context,\n) (map[string]schema.MetricStatistics, error) {\n\tif job.State != schema.JobStateRunning {\n\t\treturn archive.LoadStatsFromArchive(job, metrics)\n\t}\n\n\tms, err := GetMetricDataRepo(job.Cluster, job.SubCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\tjob.Cluster, job.SubCluster, err.Error())\n\t\treturn nil, err\n\t}\n\n\tdata := make(map[string]schema.MetricStatistics, len(metrics))\n\n\tstats, err := ms.LoadStats(job, metrics, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"failed to load statistics from metric store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\treturn data, err\n\t}\n\n\tfor _, m := range metrics {\n\t\tsum, avg, min, max := 0.0, 0.0, 0.0, 0.0\n\t\tnodes, ok := stats[m]\n\t\tif !ok {\n\t\t\tdata[m] = schema.MetricStatistics{Min: min, Avg: avg, Max: max}\n\t\t\tcontinue\n\t\t}\n\n\t\tfor _, node := range nodes {\n\t\t\tsum += node.Avg\n\t\t\tmin = math.Min(min, node.Min)\n\t\t\tmax = math.Max(max, node.Max)\n\t\t}\n\n\t\tdata[m] = schema.MetricStatistics{\n\t\t\tAvg: (math.Round((sum/float64(job.NumNodes))*100) / 100),\n\t\t\tMin: (math.Round(min*100) / 100),\n\t\t\tMax: (math.Round(max*100) / 100),\n\t\t}\n\t}\n\n\treturn data, nil\n}\n\n// LoadNodeData retrieves metric data for specific nodes in a cluster within a time range.\n// This is used for node monitoring views and system status pages. Data is always fetched from\n// the metric store (not the archive) since it's for current/recent node status monitoring.\n//\n// Returns a nested map structure: node -> metric -> scoped data.\n// FIXME: Add support for subcluster specific cc-metric-stores\nfunc LoadNodeData(\n\tcluster string,\n\tmetrics, nodes []string,\n\tscopes []schema.MetricScope,\n\tfrom, to time.Time,\n\tctx context.Context,\n) (map[string]map[string][]*schema.JobMetric, error) {\n\tif metrics == nil {\n\t\tfor _, m := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, m.Name)\n\t\t}\n\t}\n\n\tms, err := GetMetricDataRepo(cluster, \"\")\n\tif err != nil {\n\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s: %s\",\n\t\t\tcluster, err.Error())\n\t\treturn nil, err\n\t}\n\n\tdata, err := ms.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)\n\tif err != nil {\n\t\tif len(data) != 0 {\n\t\t\tcclog.Warnf(\"partial error loading node data from metric store for cluster %s: %s\", cluster, err.Error())\n\t\t} else {\n\t\t\tcclog.Warnf(\"failed to load node data from metric store for cluster %s: %s\", cluster, err.Error())\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\tif data == nil {\n\t\treturn nil, fmt.Errorf(\"metric store for cluster '%s' does not support node data queries\", cluster)\n\t}\n\n\treturn data, nil\n}\n\n// LoadNodeListData retrieves time-series metric data for multiple nodes within a time range,\n// with optional resampling and automatic statistics generation for large datasets.\n// This is used for comparing multiple nodes or displaying node status over time.\n//\n// Returns a map of node names to their job-like metric data structures.\nfunc LoadNodeListData(\n\tcluster, subCluster string,\n\tnodes []string,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tresolution int,\n\tfrom, to time.Time,\n\tctx context.Context,\n) (map[string]schema.JobData, error) {\n\tif metrics == nil {\n\t\tfor _, m := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, m.Name)\n\t\t}\n\t}\n\n\tms, err := GetMetricDataRepo(cluster, subCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\tcluster, subCluster, err.Error())\n\t\treturn nil, err\n\t}\n\n\tdata, err := ms.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, resolution, from, to, ctx)\n\tif err != nil {\n\t\tif len(data) != 0 {\n\t\t\tcclog.Warnf(\"partial error loading node list data from metric store for cluster %s, subcluster %s: %s\",\n\t\t\t\tcluster, subCluster, err.Error())\n\t\t} else {\n\t\t\tcclog.Warnf(\"failed to load node list data from metric store for cluster %s, subcluster %s: %s\",\n\t\t\t\tcluster, subCluster, err.Error())\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\t// Generate statistics series for datasets with many series to improve visualization performance.\n\t// Statistics are calculated as min/median/max.\n\tconst maxSeriesSize int = 8\n\tfor _, jd := range data {\n\t\tfor _, scopes := range jd {\n\t\t\tfor _, jm := range scopes {\n\t\t\t\tif jm.StatisticsSeries != nil || len(jm.Series) < maxSeriesSize {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tjm.AddStatisticsSeries()\n\t\t\t}\n\t\t}\n\t}\n\n\tif data == nil {\n\t\treturn nil, fmt.Errorf(\"metric store for cluster '%s' does not support node list queries\", cluster)\n\t}\n\n\treturn data, nil\n}\n\n// deepCopy creates a deep copy of JobData to prevent cache corruption when modifying\n// archived data (e.g., during resampling). This ensures the cached archive data remains\n// immutable while allowing per-request transformations.\nfunc deepCopy(source schema.JobData) schema.JobData {\n\tresult := make(schema.JobData, len(source))\n\n\tfor metricName, scopeMap := range source {\n\t\tresult[metricName] = make(map[schema.MetricScope]*schema.JobMetric, len(scopeMap))\n\n\t\tfor scope, jobMetric := range scopeMap {\n\t\t\tresult[metricName][scope] = copyJobMetric(jobMetric)\n\t\t}\n\t}\n\n\treturn result\n}\n\nfunc copyJobMetric(src *schema.JobMetric) *schema.JobMetric {\n\tdst := &schema.JobMetric{\n\t\tTimestep: src.Timestep,\n\t\tUnit:     src.Unit,\n\t\tSeries:   make([]schema.Series, len(src.Series)),\n\t}\n\n\tfor i := range src.Series {\n\t\tdst.Series[i] = copySeries(&src.Series[i])\n\t}\n\n\tif src.StatisticsSeries != nil {\n\t\tdst.StatisticsSeries = copyStatisticsSeries(src.StatisticsSeries)\n\t}\n\n\treturn dst\n}\n\nfunc copySeries(src *schema.Series) schema.Series {\n\tdst := schema.Series{\n\t\tHostname:   src.Hostname,\n\t\tID:         src.ID,\n\t\tStatistics: src.Statistics,\n\t\tData:       make([]schema.Float, len(src.Data)),\n\t}\n\n\tcopy(dst.Data, src.Data)\n\treturn dst\n}\n\nfunc copyStatisticsSeries(src *schema.StatsSeries) *schema.StatsSeries {\n\tdst := &schema.StatsSeries{\n\t\tMin:    make([]schema.Float, len(src.Min)),\n\t\tMean:   make([]schema.Float, len(src.Mean)),\n\t\tMedian: make([]schema.Float, len(src.Median)),\n\t\tMax:    make([]schema.Float, len(src.Max)),\n\t}\n\n\tcopy(dst.Min, src.Min)\n\tcopy(dst.Mean, src.Mean)\n\tcopy(dst.Median, src.Median)\n\tcopy(dst.Max, src.Max)\n\n\tif len(src.Percentiles) > 0 {\n\t\tdst.Percentiles = make(map[int][]schema.Float, len(src.Percentiles))\n\t\tfor percentile, values := range src.Percentiles {\n\t\t\tdst.Percentiles[percentile] = make([]schema.Float, len(values))\n\t\t\tcopy(dst.Percentiles[percentile], values)\n\t\t}\n\t}\n\n\treturn dst\n}\n","structuredPatch":[{"oldStart":420,"oldLines":6,"newStart":420,"newLines":7,"lines":["   resolution int,","   from, to time.Time,","   ctx context.Context,","+  resampleAlgo string,"," ) (map[string]schema.JobData, error) {","   if metrics == nil {","     for _, m := range archive.GetCluster(cluster).MetricConfig {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"18278401-8ed6-4275-97c4-30bb786d5dbe","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricdispatch provides a unified interface for loading and caching job metric data.\n//\n// This package serves as a central dispatcher that routes metric data requests to the appropriate\n// backend based on job state. For running jobs, data is fetched from the metric store (e.g., cc-metric-store).\n// For completed jobs, data is retrieved from the file-based job archive.\n//\n// # Key Features\n//\n//   - Automatic backend selection based on job state (running vs. archived)\n//   - LRU cache for performance optimization (128 MB default cache size)\n//   - Data resampling using Largest Triangle Three Bucket algorithm for archived data\n//   - Automatic statistics series generation for jobs with many nodes\n//   - Support for scoped metrics (node, socket, accelerator, core)\n//\n// # Cache Behavior\n//\n// Cached data has different TTL (time-to-live) values depending on job state:\n//   - Running jobs: 2 minutes (data changes frequently)\n//   - Completed jobs: 5 hours (data is static)\n//\n// The cache key is based on job ID, state, requested metrics, scopes, and resolution.\n//\n// # Usage\n//\n// The primary entry point is LoadData, which automatically handles both running and archived jobs:\n//\n//\tjobData, err := metricdispatch.LoadData(job, metrics, scopes, ctx, resolution)\n//\tif err != nil {\n//\t    // Handle error\n//\t}\n//\n// For statistics only, use LoadJobStats, LoadScopedJobStats, or LoadAverages depending on the required format.\npackage metricdispatch\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"math\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// cache is an LRU cache with 128 MB capacity for storing loaded job metric data.\n// The cache reduces load on both the metric store and archive backends.\nvar cache *lrucache.Cache = lrucache.New(128 * 1024 * 1024)\n\n// cacheKey generates a unique cache key for a job's metric data based on job ID, state,\n// requested metrics, scopes, and resolution. Duration and StartTime are intentionally excluded\n// because job.ID is more unique and the cache TTL ensures entries don't persist indefinitely.\nfunc cacheKey(\n\tjob *schema.Job,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tresolution int,\n\tresampleAlgo string,\n) string {\n\treturn fmt.Sprintf(\"%d(%s):[%v],[%v]-%d-%s\",\n\t\t*job.ID, job.State, metrics, scopes, resolution, resampleAlgo)\n}\n\n// LoadData retrieves metric data for a job from the appropriate backend (memory store for running jobs,\n// archive for completed jobs) and applies caching, resampling, and statistics generation as needed.\n//\n// For running jobs or when archive is disabled, data is fetched from the metric store.\n// For completed archived jobs, data is loaded from the job archive and resampled if needed.\n//\n// Parameters:\n//   - job: The job for which to load metric data\n//   - metrics: List of metric names to load (nil loads all metrics for the cluster)\n//   - scopes: Metric scopes to include (nil defaults to node scope)\n//   - ctx: Context for cancellation and timeouts\n//   - resolution: Target number of data points for resampling (only applies to archived data)\n//\n// Returns the loaded job data and any error encountered. For partial errors (some metrics failed),\n// the function returns the successfully loaded data with a warning logged.\nfunc LoadData(job *schema.Job,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tctx context.Context,\n\tresolution int,\n\tresampleAlgo string,\n) (schema.JobData, error) {\n\tdata := cache.Get(cacheKey(job, metrics, scopes, resolution, resampleAlgo), func() (_ any, ttl time.Duration, size int) {\n\t\tvar jd schema.JobData\n\t\tvar err error\n\n\t\tif job.State == schema.JobStateRunning ||\n\t\t\tjob.MonitoringStatus == schema.MonitoringStatusRunningOrArchiving {\n\n\t\t\tms, err := GetMetricDataRepo(job.Cluster, job.SubCluster)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\t\t\tjob.Cluster, job.SubCluster, err.Error())\n\t\t\t\treturn err, 0, 0\n\t\t\t}\n\n\t\t\tif scopes == nil {\n\t\t\t\tscopes = append(scopes, schema.MetricScopeNode)\n\t\t\t}\n\n\t\t\tif metrics == nil {\n\t\t\t\tcluster := archive.GetCluster(job.Cluster)\n\t\t\t\tfor _, mc := range cluster.MetricConfig {\n\t\t\t\t\tmetrics = append(metrics, mc.Name)\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tjd, err = ms.LoadData(job, metrics, scopes, ctx, resolution)\n\t\t\tif err != nil {\n\t\t\t\tif len(jd) != 0 {\n\t\t\t\t\tcclog.Warnf(\"partial error loading metrics from store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\t\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tcclog.Warnf(\"failed to load job data from metric store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\t\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\t\t\t\treturn err, 0, 0\n\t\t\t\t}\n\t\t\t}\n\t\t\tsize = jd.Size()\n\t\t} else {\n\t\t\tvar jdTemp schema.JobData\n\t\t\tjdTemp, err = archive.GetHandle().LoadJobData(job)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Warnf(\"failed to load job data from archive for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\t\t\treturn err, 0, 0\n\t\t\t}\n\n\t\t\tjd = deepCopy(jdTemp)\n\n\t\t\t// Resample archived data to reduce data points to the requested resolution,\n\t\t\t// improving transfer performance and client-side rendering.\n\t\t\tresampleFn, rfErr := resampler.GetResampler(resampleAlgo)\n\t\t\tif rfErr != nil {\n\t\t\t\treturn rfErr, 0, 0\n\t\t\t}\n\t\t\tfor _, v := range jd {\n\t\t\t\tfor _, v_ := range v {\n\t\t\t\t\ttimestep := int64(0)\n\t\t\t\t\tfor i := 0; i < len(v_.Series); i += 1 {\n\t\t\t\t\t\tv_.Series[i].Data, timestep, err = resampleFn(v_.Series[i].Data, int64(v_.Timestep), int64(resolution))\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\treturn err, 0, 0\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\tv_.Timestep = int(timestep)\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Filter job data to only include requested metrics and scopes, avoiding unnecessary data transfer.\n\t\t\tif metrics != nil || scopes != nil {\n\t\t\t\tif metrics == nil {\n\t\t\t\t\tmetrics = make([]string, 0, len(jd))\n\t\t\t\t\tfor k := range jd {\n\t\t\t\t\t\tmetrics = append(metrics, k)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\tres := schema.JobData{}\n\t\t\t\tfor _, metric := range metrics {\n\t\t\t\t\tif perscope, ok := jd[metric]; ok {\n\t\t\t\t\t\tif len(perscope) > 1 {\n\t\t\t\t\t\t\tsubset := make(map[schema.MetricScope]*schema.JobMetric)\n\t\t\t\t\t\t\tfor _, scope := range scopes {\n\t\t\t\t\t\t\t\tif jm, ok := perscope[scope]; ok {\n\t\t\t\t\t\t\t\t\tsubset[scope] = jm\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\tif len(subset) > 0 {\n\t\t\t\t\t\t\t\tperscope = subset\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tres[metric] = perscope\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tjd = res\n\t\t\t}\n\t\t\tsize = jd.Size()\n\t\t}\n\n\t\tttl = 5 * time.Hour\n\t\tif job.State == schema.JobStateRunning {\n\t\t\tttl = 2 * time.Minute\n\t\t}\n\n\t\t// Generate statistics series for jobs with many nodes to enable min/median/max graphs\n\t\t// instead of overwhelming the UI with individual node lines. Note that newly calculated\n\t\t// statistics use min/median/max, while archived statistics may use min/mean/max.\n\t\tconst maxSeriesSize int = 8\n\t\tfor _, scopes := range jd {\n\t\t\tfor _, jm := range scopes {\n\t\t\t\tif jm.StatisticsSeries != nil || len(jm.Series) < maxSeriesSize {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tjm.AddStatisticsSeries()\n\t\t\t}\n\t\t}\n\n\t\tnodeScopeRequested := false\n\t\tfor _, scope := range scopes {\n\t\t\tif scope == schema.MetricScopeNode {\n\t\t\t\tnodeScopeRequested = true\n\t\t\t}\n\t\t}\n\n\t\tif nodeScopeRequested {\n\t\t\tjd.AddNodeScope(\"flops_any\")\n\t\t\tjd.AddNodeScope(\"mem_bw\")\n\t\t}\n\n\t\t// Round Resulting Stat Values\n\t\tjd.RoundMetricStats()\n\n\t\treturn jd, ttl, size\n\t})\n\n\tif err, ok := data.(error); ok {\n\t\tcclog.Errorf(\"error in cached dataset for job %d: %s\", job.JobID, err.Error())\n\t\treturn nil, err\n\t}\n\n\treturn data.(schema.JobData), nil\n}\n\n// LoadAverages computes average values for the specified metrics across all nodes of a job.\n// For running jobs, it loads statistics from the metric store. For completed jobs, it uses\n// the pre-calculated averages from the job archive. The results are appended to the data slice.\nfunc LoadAverages(\n\tjob *schema.Job,\n\tmetrics []string,\n\tdata [][]schema.Float,\n\tctx context.Context,\n) error {\n\tif job.State != schema.JobStateRunning {\n\t\treturn archive.LoadAveragesFromArchive(job, metrics, data) // #166 change also here?\n\t}\n\n\tms, err := GetMetricDataRepo(job.Cluster, job.SubCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\tjob.Cluster, job.SubCluster, err.Error())\n\t\treturn err\n\t}\n\n\tstats, err := ms.LoadStats(job, metrics, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"failed to load statistics from metric store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\treturn err\n\t}\n\n\tfor i, m := range metrics {\n\t\tnodes, ok := stats[m]\n\t\tif !ok {\n\t\t\tdata[i] = append(data[i], schema.NaN)\n\t\t\tcontinue\n\t\t}\n\n\t\tsum := 0.0\n\t\tfor _, node := range nodes {\n\t\t\tsum += node.Avg\n\t\t}\n\t\tdata[i] = append(data[i], schema.Float(sum))\n\t}\n\n\treturn nil\n}\n\n// LoadScopedJobStats retrieves job statistics organized by metric scope (node, socket, core, accelerator).\n// For running jobs, statistics are computed from the metric store. For completed jobs, pre-calculated\n// statistics are loaded from the job archive.\nfunc LoadScopedJobStats(\n\tjob *schema.Job,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tctx context.Context,\n) (schema.ScopedJobStats, error) {\n\tif job.State != schema.JobStateRunning {\n\t\treturn archive.LoadScopedStatsFromArchive(job, metrics, scopes)\n\t}\n\n\tms, err := GetMetricDataRepo(job.Cluster, job.SubCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\tjob.Cluster, job.SubCluster, err.Error())\n\t\treturn nil, err\n\t}\n\n\tscopedStats, err := ms.LoadScopedStats(job, metrics, scopes, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"failed to load scoped statistics from metric store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\treturn nil, err\n\t}\n\n\t// Round Resulting Stat Values\n\tscopedStats.RoundScopedMetricStats()\n\n\treturn scopedStats, nil\n}\n\n// LoadJobStats retrieves aggregated statistics (min/avg/max) for each requested metric across all job nodes.\n// For running jobs, statistics are computed from the metric store. For completed jobs, pre-calculated\n// statistics are loaded from the job archive.\nfunc LoadJobStats(\n\tjob *schema.Job,\n\tmetrics []string,\n\tctx context.Context,\n) (map[string]schema.MetricStatistics, error) {\n\tif job.State != schema.JobStateRunning {\n\t\treturn archive.LoadStatsFromArchive(job, metrics)\n\t}\n\n\tms, err := GetMetricDataRepo(job.Cluster, job.SubCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\tjob.Cluster, job.SubCluster, err.Error())\n\t\treturn nil, err\n\t}\n\n\tdata := make(map[string]schema.MetricStatistics, len(metrics))\n\n\tstats, err := ms.LoadStats(job, metrics, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"failed to load statistics from metric store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\treturn data, err\n\t}\n\n\tfor _, m := range metrics {\n\t\tsum, avg, min, max := 0.0, 0.0, 0.0, 0.0\n\t\tnodes, ok := stats[m]\n\t\tif !ok {\n\t\t\tdata[m] = schema.MetricStatistics{Min: min, Avg: avg, Max: max}\n\t\t\tcontinue\n\t\t}\n\n\t\tfor _, node := range nodes {\n\t\t\tsum += node.Avg\n\t\t\tmin = math.Min(min, node.Min)\n\t\t\tmax = math.Max(max, node.Max)\n\t\t}\n\n\t\tdata[m] = schema.MetricStatistics{\n\t\t\tAvg: (math.Round((sum/float64(job.NumNodes))*100) / 100),\n\t\t\tMin: (math.Round(min*100) / 100),\n\t\t\tMax: (math.Round(max*100) / 100),\n\t\t}\n\t}\n\n\treturn data, nil\n}\n\n// LoadNodeData retrieves metric data for specific nodes in a cluster within a time range.\n// This is used for node monitoring views and system status pages. Data is always fetched from\n// the metric store (not the archive) since it's for current/recent node status monitoring.\n//\n// Returns a nested map structure: node -> metric -> scoped data.\n// FIXME: Add support for subcluster specific cc-metric-stores\nfunc LoadNodeData(\n\tcluster string,\n\tmetrics, nodes []string,\n\tscopes []schema.MetricScope,\n\tfrom, to time.Time,\n\tctx context.Context,\n) (map[string]map[string][]*schema.JobMetric, error) {\n\tif metrics == nil {\n\t\tfor _, m := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, m.Name)\n\t\t}\n\t}\n\n\tms, err := GetMetricDataRepo(cluster, \"\")\n\tif err != nil {\n\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s: %s\",\n\t\t\tcluster, err.Error())\n\t\treturn nil, err\n\t}\n\n\tdata, err := ms.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)\n\tif err != nil {\n\t\tif len(data) != 0 {\n\t\t\tcclog.Warnf(\"partial error loading node data from metric store for cluster %s: %s\", cluster, err.Error())\n\t\t} else {\n\t\t\tcclog.Warnf(\"failed to load node data from metric store for cluster %s: %s\", cluster, err.Error())\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\tif data == nil {\n\t\treturn nil, fmt.Errorf(\"metric store for cluster '%s' does not support node data queries\", cluster)\n\t}\n\n\treturn data, nil\n}\n\n// LoadNodeListData retrieves time-series metric data for multiple nodes within a time range,\n// with optional resampling and automatic statistics generation for large datasets.\n// This is used for comparing multiple nodes or displaying node status over time.\n//\n// Returns a map of node names to their job-like metric data structures.\nfunc LoadNodeListData(\n\tcluster, subCluster string,\n\tnodes []string,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tresolution int,\n\tfrom, to time.Time,\n\tctx context.Context,\n\tresampleAlgo string,\n) (map[string]schema.JobData, error) {\n\tif metrics == nil {\n\t\tfor _, m := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, m.Name)\n\t\t}\n\t}\n\n\tms, err := GetMetricDataRepo(cluster, subCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\tcluster, subCluster, err.Error())\n\t\treturn nil, err\n\t}\n\n\tdata, err := ms.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, resolution, from, to, ctx)\n\tif err != nil {\n\t\tif len(data) != 0 {\n\t\t\tcclog.Warnf(\"partial error loading node list data from metric store for cluster %s, subcluster %s: %s\",\n\t\t\t\tcluster, subCluster, err.Error())\n\t\t} else {\n\t\t\tcclog.Warnf(\"failed to load node list data from metric store for cluster %s, subcluster %s: %s\",\n\t\t\t\tcluster, subCluster, err.Error())\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\t// Generate statistics series for datasets with many series to improve visualization performance.\n\t// Statistics are calculated as min/median/max.\n\tconst maxSeriesSize int = 8\n\tfor _, jd := range data {\n\t\tfor _, scopes := range jd {\n\t\t\tfor _, jm := range scopes {\n\t\t\t\tif jm.StatisticsSeries != nil || len(jm.Series) < maxSeriesSize {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tjm.AddStatisticsSeries()\n\t\t\t}\n\t\t}\n\t}\n\n\tif data == nil {\n\t\treturn nil, fmt.Errorf(\"metric store for cluster '%s' does not support node list queries\", cluster)\n\t}\n\n\treturn data, nil\n}\n\n// deepCopy creates a deep copy of JobData to prevent cache corruption when modifying\n// archived data (e.g., during resampling). This ensures the cached archive data remains\n// immutable while allowing per-request transformations.\nfunc deepCopy(source schema.JobData) schema.JobData {\n\tresult := make(schema.JobData, len(source))\n\n\tfor metricName, scopeMap := range source {\n\t\tresult[metricName] = make(map[schema.MetricScope]*schema.JobMetric, len(scopeMap))\n\n\t\tfor scope, jobMetric := range scopeMap {\n\t\t\tresult[metricName][scope] = copyJobMetric(jobMetric)\n\t\t}\n\t}\n\n\treturn result\n}\n\nfunc copyJobMetric(src *schema.JobMetric) *schema.JobMetric {\n\tdst := &schema.JobMetric{\n\t\tTimestep: src.Timestep,\n\t\tUnit:     src.Unit,\n\t\tSeries:   make([]schema.Series, len(src.Series)),\n\t}\n\n\tfor i := range src.Series {\n\t\tdst.Series[i] = copySeries(&src.Series[i])\n\t}\n\n\tif src.StatisticsSeries != nil {\n\t\tdst.StatisticsSeries = copyStatisticsSeries(src.StatisticsSeries)\n\t}\n\n\treturn dst\n}\n\nfunc copySeries(src *schema.Series) schema.Series {\n\tdst := schema.Series{\n\t\tHostname:   src.Hostname,\n\t\tID:         src.ID,\n\t\tStatistics: src.Statistics,\n\t\tData:       make([]schema.Float, len(src.Data)),\n\t}\n\n\tcopy(dst.Data, src.Data)\n\treturn dst\n}\n\nfunc copyStatisticsSeries(src *schema.StatsSeries) *schema.StatsSeries {\n\tdst := &schema.StatsSeries{\n\t\tMin:    make([]schema.Float, len(src.Min)),\n\t\tMean:   make([]schema.Float, len(src.Mean)),\n\t\tMedian: make([]schema.Float, len(src.Median)),\n\t\tMax:    make([]schema.Float, len(src.Max)),\n\t}\n\n\tcopy(dst.Min, src.Min)\n\tcopy(dst.Mean, src.Mean)\n\tcopy(dst.Median, src.Median)\n\tcopy(dst.Max, src.Max)\n\n\tif len(src.Percentiles) > 0 {\n\t\tdst.Percentiles = make(map[int][]schema.Float, len(src.Percentiles))\n\t\tfor percentile, values := range src.Percentiles {\n\t\t\tdst.Percentiles[percentile] = make([]schema.Float, len(values))\n\t\t\tcopy(dst.Percentiles[percentile], values)\n\t\t}\n\t}\n\n\treturn dst\n}\n","structuredPatch":[{"oldStart":435,"oldLines":7,"newStart":435,"newLines":7,"lines":["     return nil, err","   }"," ","-  data, err := ms.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, resolution, from, to, ctx)","+  data, err := ms.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, resolution, from, to, ctx, resampleAlgo)","   if err != nil {","     if len(data) != 0 {","       cclog.Warnf(\"partial error loading node list data from metric store for cluster %s, subcluster %s: %s\","]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"c9c7b9c5-f54d-4dae-be9d-0ef98a6d41e5","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file implements high-level query functions for loading job metric data\n// with automatic scope transformation and aggregation.\n//\n// Key Concepts:\n//\n// Metric Scopes: Metrics are collected at different granularities (native scope):\n//   - HWThread: Per hardware thread\n//   - Core: Per CPU core\n//   - Socket: Per CPU socket\n//   - MemoryDomain: Per memory domain (NUMA)\n//   - Accelerator: Per GPU/accelerator\n//   - Node: Per compute node\n//\n// Scope Transformation: The buildQueries functions transform between native scope\n// and requested scope by:\n//   - Aggregating finer-grained data (e.g., HWThread → Core → Socket → Node)\n//   - Rejecting requests for finer granularity than available\n//   - Handling special cases (e.g., Accelerator metrics)\n//\n// Query Building: Constructs APIQuery structures with proper selectors (Type, TypeIds)\n// based on cluster topology and job resources.\npackage metricstore\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\ntype InternalMetricStore struct{}\n\nvar MetricStoreHandle *InternalMetricStore\n\n// HealthCheck delegates to the internal MemoryStore's HealthCheck.\nfunc (ccms *InternalMetricStore) HealthCheck(cluster string,\n\tnodes []string, metrics []string,\n) (map[string]HealthCheckResult, error) {\n\treturn GetMemoryStore().HealthCheck(cluster, nodes, metrics)\n}\n\n// TestLoadDataCallback allows tests to override LoadData behavior for testing purposes.\n// When set to a non-nil function, LoadData will call this function instead of the default implementation.\nvar TestLoadDataCallback func(job *schema.Job, metrics []string, scopes []schema.MetricScope, ctx context.Context, resolution int) (schema.JobData, error)\n\n// LoadData loads metric data for a specific job with automatic scope transformation.\n//\n// This is the primary function for retrieving job metric data. It handles:\n//   - Building queries with scope transformation via buildQueries\n//   - Fetching data from the metric store\n//   - Organizing results by metric and scope\n//   - Converting NaN statistics to 0 for JSON compatibility\n//   - Partial error handling (returns data for successful queries even if some fail)\n//\n// Parameters:\n//   - job: Job metadata including cluster, resources, and time range\n//   - metrics: List of metric names to load\n//   - scopes: Requested metric scopes (will be transformed to match native scopes)\n//   - ctx: Context for cancellation (currently unused but reserved for future use)\n//   - resolution: Data resolution in seconds (0 for native resolution)\n//\n// Returns:\n//   - JobData: Map of metric → scope → JobMetric with time-series data and statistics\n//   - Error: Returns error if query building or fetching fails, or partial error listing failed hosts\n//\n// Example:\n//\n//\tjobData, err := LoadData(job, []string{\"cpu_load\", \"mem_used\"}, []schema.MetricScope{schema.MetricScopeNode}, ctx, 60)\nfunc (ccms *InternalMetricStore) LoadData(\n\tjob *schema.Job,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tctx context.Context,\n\tresolution int,\n) (schema.JobData, error) {\n\tif TestLoadDataCallback != nil {\n\t\treturn TestLoadDataCallback(job, metrics, scopes, ctx, resolution)\n\t}\n\n\tqueries, assignedScope, err := buildQueries(job, metrics, scopes, int64(resolution))\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while building queries for jobId %d, Metrics %v, Scopes %v: %s\", job.JobID, metrics, scopes, err.Error())\n\t\treturn nil, err\n\t}\n\n\t// Verify assignment is correct - log any inconsistencies for debugging\n\tif len(queries) != len(assignedScope) {\n\t\tcclog.Errorf(\"Critical error: queries and assignedScope have different lengths after buildQueries: %d vs %d\",\n\t\t\tlen(queries), len(assignedScope))\n\t}\n\n\treq := APIQueryRequest{\n\t\tCluster:   job.Cluster,\n\t\tFrom:      job.StartTime,\n\t\tTo:        job.StartTime + int64(job.Duration),\n\t\tQueries:   queries,\n\t\tWithStats: true,\n\t\tWithData:  true,\n\t}\n\n\tresBody, err := FetchData(req)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while fetching data : %s\", err.Error())\n\t\treturn nil, err\n\t}\n\n\tvar errors []string\n\tjobData := make(schema.JobData)\n\n\t// Add safety check for potential index out of range errors\n\tif len(resBody.Results) != len(req.Queries) || len(assignedScope) != len(req.Queries) {\n\t\tcclog.Warnf(\"Mismatch in query results count: queries=%d, results=%d, assignedScope=%d\",\n\t\t\tlen(req.Queries), len(resBody.Results), len(assignedScope))\n\t\tif len(resBody.Results) > len(req.Queries) {\n\t\t\tresBody.Results = resBody.Results[:len(req.Queries)]\n\t\t}\n\t\tif len(assignedScope) > len(req.Queries) {\n\t\t\tassignedScope = assignedScope[:len(req.Queries)]\n\t\t}\n\t}\n\n\tfor i, row := range resBody.Results {\n\t\tquery := req.Queries[i]\n\t\tmetric := query.Metric\n\t\tscope := assignedScope[i]\n\t\tmc := archive.GetMetricConfig(job.Cluster, metric)\n\n\t\tif mc == nil {\n\t\t\tcclog.Warnf(\"Metric config not found for %s on cluster %s\", metric, job.Cluster)\n\t\t\tcontinue\n\t\t}\n\n\t\tif _, ok := jobData[metric]; !ok {\n\t\t\tjobData[metric] = make(map[schema.MetricScope]*schema.JobMetric)\n\t\t}\n\n\t\tres := mc.Timestep\n\t\tif len(row) > 0 {\n\t\t\tres = int(row[0].Resolution)\n\t\t}\n\n\t\tjobMetric, ok := jobData[metric][scope]\n\t\tif !ok {\n\t\t\tjobMetric = &schema.JobMetric{\n\t\t\t\tUnit:     mc.Unit,\n\t\t\t\tTimestep: res,\n\t\t\t\tSeries:   make([]schema.Series, 0),\n\t\t\t}\n\t\t\tjobData[metric][scope] = jobMetric\n\t\t}\n\n\t\tfor ndx, res := range row {\n\t\t\tif res.Error != nil {\n\t\t\t\t/* Build list for \"partial errors\", if any */\n\t\t\t\terrors = append(errors, fmt.Sprintf(\"failed to fetch '%s' from host '%s': %s\", query.Metric, query.Hostname, *res.Error))\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tid := ExtractTypeID(query.Type, query.TypeIds, ndx, query.Metric, query.Hostname)\n\n\t\t\tSanitizeStats(&res.Avg, &res.Min, &res.Max)\n\n\t\t\tjobMetric.Series = append(jobMetric.Series, schema.Series{\n\t\t\t\tHostname: query.Hostname,\n\t\t\t\tID:       id,\n\t\t\t\tStatistics: schema.MetricStatistics{\n\t\t\t\t\tAvg: float64(res.Avg),\n\t\t\t\t\tMin: float64(res.Min),\n\t\t\t\t\tMax: float64(res.Max),\n\t\t\t\t},\n\t\t\t\tData: res.Data,\n\t\t\t})\n\t\t}\n\n\t\t// So that one can later check len(jobData):\n\t\tif len(jobMetric.Series) == 0 {\n\t\t\tdelete(jobData[metric], scope)\n\t\t\tif len(jobData[metric]) == 0 {\n\t\t\t\tdelete(jobData, metric)\n\t\t\t}\n\t\t}\n\t}\n\n\tif len(errors) != 0 {\n\t\t/* Returns list for \"partial errors\" */\n\t\treturn jobData, fmt.Errorf(\"METRICDATA/INTERNAL-CCMS > Errors: %s\", strings.Join(errors, \", \"))\n\t}\n\treturn jobData, nil\n}\n\n// buildQueries constructs APIQuery structures with automatic scope transformation for a job.\n//\n// This function implements the core scope transformation logic, handling all combinations of\n// native metric scopes and requested scopes. It uses the cluster topology to determine which\n// hardware IDs to include in each query.\n//\n// Scope Transformation Rules:\n//   - If native scope >= requested scope: Aggregates data (Aggregate=true in APIQuery)\n//   - If native scope < requested scope: Returns error (cannot increase granularity)\n//   - Special handling for Accelerator scope (independent of CPU hierarchy)\n//\n// The function generates one or more APIQuery per (metric, scope, host) combination:\n//   - For non-aggregated queries: One query with all relevant IDs\n//   - For aggregated queries: May generate multiple queries (e.g., one per socket/core)\n//\n// Parameters:\n//   - job: Job metadata including cluster, subcluster, and resource allocation\n//   - metrics: List of metrics to query\n//   - scopes: Requested scopes for each metric\n//   - resolution: Data resolution in seconds\n//\n// Returns:\n//   - []APIQuery: List of queries to execute\n//   - []schema.MetricScope: Assigned scope for each query (after transformation)\n//   - error: Returns error if topology lookup fails or unhandled scope combination encountered\nfunc buildQueries(\n\tjob *schema.Job,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tresolution int64,\n) ([]APIQuery, []schema.MetricScope, error) {\n\tif len(job.Resources) == 0 {\n\t\treturn nil, nil, fmt.Errorf(\"METRICDATA/INTERNAL-CCMS > no resources allocated for job %d\", job.JobID)\n\t}\n\n\tqueries := make([]APIQuery, 0, len(metrics)*len(scopes)*len(job.Resources))\n\tassignedScope := make([]schema.MetricScope, 0, len(metrics)*len(scopes)*len(job.Resources))\n\n\tsubcluster, scerr := archive.GetSubCluster(job.Cluster, job.SubCluster)\n\tif scerr != nil {\n\t\treturn nil, nil, scerr\n\t}\n\ttopology := subcluster.Topology\n\n\tfor _, metric := range metrics {\n\t\tmc := archive.GetMetricConfig(job.Cluster, metric)\n\t\tif mc == nil {\n\t\t\tcclog.Warnf(\"metric '%s' is not specified for cluster '%s'\", metric, job.Cluster)\n\t\t\tcontinue\n\t\t}\n\n\t\t// Skip if metric is removed for subcluster\n\t\tif len(mc.SubClusters) != 0 && IsMetricRemovedForSubCluster(mc, job.SubCluster) {\n\t\t\tcontinue\n\t\t}\n\n\t\t// Avoid duplicates...\n\t\thandledScopes := make([]schema.MetricScope, 0, 3)\n\n\tscopesLoop:\n\t\tfor _, requestedScope := range scopes {\n\t\t\tnativeScope := mc.Scope\n\t\t\tif nativeScope == schema.MetricScopeAccelerator && job.NumAcc == 0 {\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tscope := nativeScope.Max(requestedScope)\n\t\t\tfor _, s := range handledScopes {\n\t\t\t\tif scope == s {\n\t\t\t\t\tcontinue scopesLoop\n\t\t\t\t}\n\t\t\t}\n\t\t\thandledScopes = append(handledScopes, scope)\n\n\t\t\tfor _, host := range job.Resources {\n\t\t\t\thwthreads := host.HWThreads\n\t\t\t\tif hwthreads == nil {\n\t\t\t\t\thwthreads = topology.Node\n\t\t\t\t}\n\n\t\t\t\tscopeResults, ok := BuildScopeQueries(\n\t\t\t\t\tnativeScope, requestedScope,\n\t\t\t\t\tmetric, host.Hostname,\n\t\t\t\t\t&topology, hwthreads, host.Accelerators,\n\t\t\t\t)\n\n\t\t\t\tif !ok {\n\t\t\t\t\treturn nil, nil, fmt.Errorf(\"METRICDATA/INTERNAL-CCMS > unsupported scope transformation: native-scope=%s, requested-scope=%s\", nativeScope, requestedScope)\n\t\t\t\t}\n\n\t\t\t\tfor _, sr := range scopeResults {\n\t\t\t\t\tqueries = append(queries, APIQuery{\n\t\t\t\t\t\tMetric:     sr.Metric,\n\t\t\t\t\t\tHostname:   sr.Hostname,\n\t\t\t\t\t\tAggregate:  sr.Aggregate,\n\t\t\t\t\t\tType:       sr.Type,\n\t\t\t\t\t\tTypeIds:    sr.TypeIds,\n\t\t\t\t\t\tResolution: resolution,\n\t\t\t\t\t})\n\t\t\t\t\tassignedScope = append(assignedScope, sr.Scope)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\treturn queries, assignedScope, nil\n}\n\n// LoadStats loads only metric statistics (avg/min/max) for a job at node scope.\n//\n// This is an optimized version of LoadData that fetches only statistics without\n// time-series data, reducing bandwidth and memory usage. Always queries at node scope.\n//\n// Parameters:\n//   - job: Job metadata\n//   - metrics: List of metric names\n//   - ctx: Context (currently unused)\n//\n// Returns:\n//   - Map of metric → hostname → statistics\n//   - Error on query building or fetching failure\nfunc (ccms *InternalMetricStore) LoadStats(\n\tjob *schema.Job,\n\tmetrics []string,\n\tctx context.Context,\n) (map[string]map[string]schema.MetricStatistics, error) {\n\t// TODO(#166): Add scope parameter for analysis view accelerator normalization\n\tqueries, _, err := buildQueries(job, metrics, []schema.MetricScope{schema.MetricScopeNode}, 0)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while building queries for jobId %d, Metrics %v: %s\", job.JobID, metrics, err.Error())\n\t\treturn nil, err\n\t}\n\n\treq := APIQueryRequest{\n\t\tCluster:   job.Cluster,\n\t\tFrom:      job.StartTime,\n\t\tTo:        job.StartTime + int64(job.Duration),\n\t\tQueries:   queries,\n\t\tWithStats: true,\n\t\tWithData:  false,\n\t}\n\n\tresBody, err := FetchData(req)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while fetching data : %s\", err.Error())\n\t\treturn nil, err\n\t}\n\n\tstats := make(map[string]map[string]schema.MetricStatistics, len(metrics))\n\tfor i, res := range resBody.Results {\n\t\tif i >= len(req.Queries) {\n\t\t\tcclog.Warnf(\"LoadStats: result index %d exceeds queries length %d\", i, len(req.Queries))\n\t\t\tbreak\n\t\t}\n\t\tif len(res) == 0 {\n\t\t\t// No Data Found For Metric, Logged in FetchData to Warn\n\t\t\tcontinue\n\t\t}\n\t\tquery := req.Queries[i]\n\t\tmetric := query.Metric\n\t\tdata := res[0]\n\t\tif data.Error != nil {\n\t\t\tcclog.Warnf(\"fetching %s for node %s failed: %s\", metric, query.Hostname, *data.Error)\n\t\t\tcontinue\n\t\t}\n\n\t\tmetricdata, ok := stats[metric]\n\t\tif !ok {\n\t\t\tmetricdata = make(map[string]schema.MetricStatistics, job.NumNodes)\n\t\t\tstats[metric] = metricdata\n\t\t}\n\n\t\tif data.Avg.IsNaN() || data.Min.IsNaN() || data.Max.IsNaN() {\n\t\t\tcclog.Warnf(\"fetching %s for node %s failed: one of avg/min/max is NaN\", metric, query.Hostname)\n\t\t\tcontinue\n\t\t}\n\n\t\tmetricdata[query.Hostname] = schema.MetricStatistics{\n\t\t\tAvg: float64(data.Avg),\n\t\t\tMin: float64(data.Min),\n\t\t\tMax: float64(data.Max),\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// LoadScopedStats loads metric statistics for a job with scope-aware grouping.\n//\n// Similar to LoadStats but supports multiple scopes and returns statistics grouped\n// by scope with hardware IDs (e.g., per-core, per-socket statistics).\n//\n// Parameters:\n//   - job: Job metadata\n//   - metrics: List of metric names\n//   - scopes: Requested metric scopes\n//   - ctx: Context (currently unused)\n//\n// Returns:\n//   - ScopedJobStats: Map of metric → scope → []ScopedStats (with hostname and ID)\n//   - Error or partial error listing failed queries\nfunc (ccms *InternalMetricStore) LoadScopedStats(\n\tjob *schema.Job,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tctx context.Context,\n) (schema.ScopedJobStats, error) {\n\tqueries, assignedScope, err := buildQueries(job, metrics, scopes, 0)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while building queries for jobId %d, Metrics %v, Scopes %v: %s\", job.JobID, metrics, scopes, err.Error())\n\t\treturn nil, err\n\t}\n\n\treq := APIQueryRequest{\n\t\tCluster:   job.Cluster,\n\t\tFrom:      job.StartTime,\n\t\tTo:        job.StartTime + int64(job.Duration),\n\t\tQueries:   queries,\n\t\tWithStats: true,\n\t\tWithData:  false,\n\t}\n\n\tresBody, err := FetchData(req)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while fetching data : %s\", err.Error())\n\t\treturn nil, err\n\t}\n\n\tvar errors []string\n\tscopedJobStats := make(schema.ScopedJobStats)\n\n\tfor i, row := range resBody.Results {\n\t\tif len(row) == 0 {\n\t\t\t// No Data Found For Metric, Logged in FetchData to Warn\n\t\t\tcontinue\n\t\t}\n\t\tquery := req.Queries[i]\n\t\tmetric := query.Metric\n\t\tscope := assignedScope[i]\n\n\t\tif _, ok := scopedJobStats[metric]; !ok {\n\t\t\tscopedJobStats[metric] = make(map[schema.MetricScope][]*schema.ScopedStats)\n\t\t}\n\n\t\tif _, ok := scopedJobStats[metric][scope]; !ok {\n\t\t\tscopedJobStats[metric][scope] = make([]*schema.ScopedStats, 0)\n\t\t}\n\n\t\tfor ndx, res := range row {\n\t\t\tif res.Error != nil {\n\t\t\t\t/* Build list for \"partial errors\", if any */\n\t\t\t\terrors = append(errors, fmt.Sprintf(\"failed to fetch '%s' from host '%s': %s\", query.Metric, query.Hostname, *res.Error))\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tid := ExtractTypeID(query.Type, query.TypeIds, ndx, query.Metric, query.Hostname)\n\n\t\t\tSanitizeStats(&res.Avg, &res.Min, &res.Max)\n\n\t\t\tscopedJobStats[metric][scope] = append(scopedJobStats[metric][scope], &schema.ScopedStats{\n\t\t\t\tHostname: query.Hostname,\n\t\t\t\tID:       id,\n\t\t\t\tData: &schema.MetricStatistics{\n\t\t\t\t\tAvg: float64(res.Avg),\n\t\t\t\t\tMin: float64(res.Min),\n\t\t\t\t\tMax: float64(res.Max),\n\t\t\t\t},\n\t\t\t})\n\t\t}\n\n\t\t// So that one can later check len(scopedJobStats[metric][scope]): Remove from map if empty\n\t\tif len(scopedJobStats[metric][scope]) == 0 {\n\t\t\tdelete(scopedJobStats[metric], scope)\n\t\t\tif len(scopedJobStats[metric]) == 0 {\n\t\t\t\tdelete(scopedJobStats, metric)\n\t\t\t}\n\t\t}\n\t}\n\n\tif len(errors) != 0 {\n\t\t/* Returns list for \"partial errors\" */\n\t\treturn scopedJobStats, fmt.Errorf(\"METRICDATA/INTERNAL-CCMS > Errors: %s\", strings.Join(errors, \", \"))\n\t}\n\treturn scopedJobStats, nil\n}\n\n// LoadNodeData loads metric data for specific nodes in a cluster over a time range.\n//\n// Unlike LoadData which operates on job resources, this function queries arbitrary nodes\n// directly. Useful for system monitoring and node status views.\n//\n// Parameters:\n//   - cluster: Cluster name\n//   - metrics: List of metric names\n//   - nodes: List of node hostnames (nil = all nodes in cluster via ForAllNodes)\n//   - scopes: Requested metric scopes (currently unused - always node scope)\n//   - from, to: Time range\n//   - ctx: Context (currently unused)\n//\n// Returns:\n//   - Map of hostname → metric → []JobMetric\n//   - Error or partial error listing failed queries\nfunc (ccms *InternalMetricStore) LoadNodeData(\n\tcluster string,\n\tmetrics, nodes []string,\n\tscopes []schema.MetricScope,\n\tfrom, to time.Time,\n\tctx context.Context,\n) (map[string]map[string][]*schema.JobMetric, error) {\n\treq := APIQueryRequest{\n\t\tCluster:   cluster,\n\t\tFrom:      from.Unix(),\n\t\tTo:        to.Unix(),\n\t\tWithStats: true,\n\t\tWithData:  true,\n\t}\n\n\tif nodes == nil {\n\t\treq.ForAllNodes = append(req.ForAllNodes, metrics...)\n\t} else {\n\t\tfor _, node := range nodes {\n\t\t\tfor _, metric := range metrics {\n\t\t\t\treq.Queries = append(req.Queries, APIQuery{\n\t\t\t\t\tHostname:   node,\n\t\t\t\t\tMetric:     metric,\n\t\t\t\t\tResolution: 0, // Default for Node Queries: Will return metric $Timestep Resolution\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\t}\n\n\tresBody, err := FetchData(req)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while fetching data : %s\", err.Error())\n\t\treturn nil, err\n\t}\n\n\tvar errors []string\n\tdata := make(map[string]map[string][]*schema.JobMetric)\n\tfor i, res := range resBody.Results {\n\t\tif len(res) == 0 {\n\t\t\t// No Data Found For Metric, Logged in FetchData to Warn\n\t\t\tcontinue\n\t\t}\n\n\t\tvar query APIQuery\n\t\tif resBody.Queries != nil {\n\t\t\tquery = resBody.Queries[i]\n\t\t} else {\n\t\t\tquery = req.Queries[i]\n\t\t}\n\n\t\tmetric := query.Metric\n\t\tqdata := res[0]\n\t\tif qdata.Error != nil {\n\t\t\terrors = append(errors, fmt.Sprintf(\"fetching %s for node %s failed: %s\", metric, query.Hostname, *qdata.Error))\n\t\t\tcontinue\n\t\t}\n\n\t\tmc := archive.GetMetricConfig(cluster, metric)\n\t\tif mc == nil {\n\t\t\tcclog.Warnf(\"Metric config not found for %s on cluster %s\", metric, cluster)\n\t\t\tcontinue\n\t\t}\n\n\t\tSanitizeStats(&qdata.Avg, &qdata.Min, &qdata.Max)\n\n\t\thostdata, ok := data[query.Hostname]\n\t\tif !ok {\n\t\t\thostdata = make(map[string][]*schema.JobMetric)\n\t\t\tdata[query.Hostname] = hostdata\n\t\t}\n\n\t\thostdata[metric] = append(hostdata[metric], &schema.JobMetric{\n\t\t\tUnit:     mc.Unit,\n\t\t\tTimestep: mc.Timestep,\n\t\t\tSeries: []schema.Series{\n\t\t\t\t{\n\t\t\t\t\tHostname: query.Hostname,\n\t\t\t\t\tData:     qdata.Data,\n\t\t\t\t\tStatistics: schema.MetricStatistics{\n\t\t\t\t\t\tAvg: float64(qdata.Avg),\n\t\t\t\t\t\tMin: float64(qdata.Min),\n\t\t\t\t\t\tMax: float64(qdata.Max),\n\t\t\t\t\t},\n\t\t\t\t},\n\t\t\t},\n\t\t})\n\t}\n\n\tif len(errors) != 0 {\n\t\t/* Returns list of \"partial errors\" */\n\t\treturn data, fmt.Errorf(\"METRICDATA/INTERNAL-CCMS > Errors: %s\", strings.Join(errors, \", \"))\n\t}\n\n\treturn data, nil\n}\n\n// LoadNodeListData loads metric data for a list of nodes with full scope transformation support.\n//\n// This is the most flexible node data loading function, supporting arbitrary scopes and\n// resolution. Uses buildNodeQueries for proper scope transformation based on topology.\n//\n// Parameters:\n//   - cluster: Cluster name\n//   - subCluster: SubCluster name (empty string to infer from node names)\n//   - nodes: List of node hostnames\n//   - metrics: List of metric names\n//   - scopes: Requested metric scopes\n//   - resolution: Data resolution in seconds\n//   - from, to: Time range\n//   - ctx: Context (currently unused)\n//\n// Returns:\n//   - Map of hostname → JobData (metric → scope → JobMetric)\n//   - Error or partial error listing failed queries\nfunc (ccms *InternalMetricStore) LoadNodeListData(\n\tcluster, subCluster string,\n\tnodes []string,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tresolution int,\n\tfrom, to time.Time,\n\tctx context.Context,\n) (map[string]schema.JobData, error) {\n\t// Note: Order of node data is not guaranteed after this point\n\tqueries, assignedScope, err := buildNodeQueries(cluster, subCluster, nodes, metrics, scopes, int64(resolution))\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while building node queries for Cluster %s, SubCLuster %s, Metrics %v, Scopes %v: %s\", cluster, subCluster, metrics, scopes, err.Error())\n\t\treturn nil, err\n\t}\n\n\t// Verify assignment is correct - log any inconsistencies for debugging\n\tif len(queries) != len(assignedScope) {\n\t\tcclog.Errorf(\"Critical error: queries and assignedScope have different lengths after buildNodeQueries: %d vs %d\",\n\t\t\tlen(queries), len(assignedScope))\n\t}\n\n\treq := APIQueryRequest{\n\t\tCluster:   cluster,\n\t\tQueries:   queries,\n\t\tFrom:      from.Unix(),\n\t\tTo:        to.Unix(),\n\t\tWithStats: true,\n\t\tWithData:  true,\n\t}\n\n\tresBody, err := FetchData(req)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while fetching data : %s\", err.Error())\n\t\treturn nil, err\n\t}\n\n\tvar errors []string\n\tdata := make(map[string]schema.JobData)\n\n\t// Add safety check for index out of range issues\n\tif len(resBody.Results) != len(req.Queries) || len(assignedScope) != len(req.Queries) {\n\t\tcclog.Warnf(\"Mismatch in query results count: queries=%d, results=%d, assignedScope=%d\",\n\t\t\tlen(req.Queries), len(resBody.Results), len(assignedScope))\n\t\tif len(resBody.Results) > len(req.Queries) {\n\t\t\tresBody.Results = resBody.Results[:len(req.Queries)]\n\t\t}\n\t\tif len(assignedScope) > len(req.Queries) {\n\t\t\tassignedScope = assignedScope[:len(req.Queries)]\n\t\t}\n\t}\n\n\tfor i, row := range resBody.Results {\n\t\tvar query APIQuery\n\t\tif resBody.Queries != nil {\n\t\t\tif i < len(resBody.Queries) {\n\t\t\t\tquery = resBody.Queries[i]\n\t\t\t} else {\n\t\t\t\tcclog.Warnf(\"Index out of range prevented for resBody.Queries: i=%d, len=%d\",\n\t\t\t\t\ti, len(resBody.Queries))\n\t\t\t\tcontinue\n\t\t\t}\n\t\t} else {\n\t\t\tquery = req.Queries[i]\n\t\t}\n\n\t\tmetric := query.Metric\n\t\tscope := assignedScope[i]\n\t\tmc := archive.GetMetricConfig(cluster, metric)\n\t\tif mc == nil {\n\t\t\tcclog.Warnf(\"Metric config not found for %s on cluster %s\", metric, cluster)\n\t\t\tcontinue\n\t\t}\n\n\t\tres := mc.Timestep\n\t\tif len(row) > 0 {\n\t\t\tres = int(row[0].Resolution)\n\t\t}\n\n\t\t// Init Nested Map Data Structures If Not Found\n\t\thostData, ok := data[query.Hostname]\n\t\tif !ok {\n\t\t\thostData = make(schema.JobData)\n\t\t\tdata[query.Hostname] = hostData\n\t\t}\n\n\t\tmetricData, ok := hostData[metric]\n\t\tif !ok {\n\t\t\tmetricData = make(map[schema.MetricScope]*schema.JobMetric)\n\t\t\tdata[query.Hostname][metric] = metricData\n\t\t}\n\n\t\tscopeData, ok := metricData[scope]\n\t\tif !ok {\n\t\t\tscopeData = &schema.JobMetric{\n\t\t\t\tUnit:     mc.Unit,\n\t\t\t\tTimestep: res,\n\t\t\t\tSeries:   make([]schema.Series, 0),\n\t\t\t}\n\t\t\tdata[query.Hostname][metric][scope] = scopeData\n\t\t}\n\n\t\tfor ndx, res := range row {\n\t\t\tif res.Error != nil {\n\t\t\t\t/* Build list for \"partial errors\", if any */\n\t\t\t\terrors = append(errors, fmt.Sprintf(\"failed to fetch '%s' from host '%s': %s\", query.Metric, query.Hostname, *res.Error))\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tid := ExtractTypeID(query.Type, query.TypeIds, ndx, query.Metric, query.Hostname)\n\n\t\t\tSanitizeStats(&res.Avg, &res.Min, &res.Max)\n\n\t\t\tscopeData.Series = append(scopeData.Series, schema.Series{\n\t\t\t\tHostname: query.Hostname,\n\t\t\t\tID:       id,\n\t\t\t\tStatistics: schema.MetricStatistics{\n\t\t\t\t\tAvg: float64(res.Avg),\n\t\t\t\t\tMin: float64(res.Min),\n\t\t\t\t\tMax: float64(res.Max),\n\t\t\t\t},\n\t\t\t\tData: res.Data,\n\t\t\t})\n\t\t}\n\t}\n\n\tif len(errors) != 0 {\n\t\t/* Returns list of \"partial errors\" */\n\t\treturn data, fmt.Errorf(\"METRICDATA/INTERNAL-CCMS > Errors: %s\", strings.Join(errors, \", \"))\n\t}\n\n\treturn data, nil\n}\n\n// buildNodeQueries constructs APIQuery structures for node-based queries with scope transformation.\n//\n// Similar to buildQueries but operates on node lists rather than job resources.\n// Supports dynamic subcluster lookup when subCluster parameter is empty.\n//\n// Parameters:\n//   - cluster: Cluster name\n//   - subCluster: SubCluster name (empty = infer from node hostnames)\n//   - nodes: List of node hostnames\n//   - metrics: List of metric names\n//   - scopes: Requested metric scopes\n//   - resolution: Data resolution in seconds\n//\n// Returns:\n//   - []APIQuery: List of queries to execute\n//   - []schema.MetricScope: Assigned scope for each query\n//   - error: Returns error if topology lookup fails or unhandled scope combination\nfunc buildNodeQueries(\n\tcluster string,\n\tsubCluster string,\n\tnodes []string,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tresolution int64,\n) ([]APIQuery, []schema.MetricScope, error) {\n\tqueries := make([]APIQuery, 0, len(metrics)*len(scopes)*len(nodes))\n\tassignedScope := make([]schema.MetricScope, 0, len(metrics)*len(scopes)*len(nodes))\n\n\t// Get Topol before loop if subCluster given\n\tvar subClusterTopol *schema.SubCluster\n\tvar scterr error\n\tif subCluster != \"\" {\n\t\tsubClusterTopol, scterr = archive.GetSubCluster(cluster, subCluster)\n\t\tif scterr != nil {\n\t\t\tcclog.Errorf(\"could not load cluster %s subCluster %s topology: %s\", cluster, subCluster, scterr.Error())\n\t\t\treturn nil, nil, scterr\n\t\t}\n\t}\n\n\tfor _, metric := range metrics {\n\t\tmc := archive.GetMetricConfig(cluster, metric)\n\t\tif mc == nil {\n\t\t\tcclog.Warnf(\"metric '%s' is not specified for cluster '%s'\", metric, cluster)\n\t\t\tcontinue\n\t\t}\n\n\t\t// Skip if metric is removed for subcluster\n\t\tif mc.SubClusters != nil && IsMetricRemovedForSubCluster(mc, subCluster) {\n\t\t\tcontinue\n\t\t}\n\n\t\t// Avoid duplicates...\n\t\thandledScopes := make([]schema.MetricScope, 0, 3)\n\n\tnodeScopesLoop:\n\t\tfor _, requestedScope := range scopes {\n\t\t\tnativeScope := mc.Scope\n\n\t\t\tscope := nativeScope.Max(requestedScope)\n\t\t\tfor _, s := range handledScopes {\n\t\t\t\tif scope == s {\n\t\t\t\t\tcontinue nodeScopesLoop\n\t\t\t\t}\n\t\t\t}\n\t\t\thandledScopes = append(handledScopes, scope)\n\n\t\t\tfor _, hostname := range nodes {\n\n\t\t\t\t// If no subCluster given, get it by node\n\t\t\t\tif subCluster == \"\" {\n\t\t\t\t\tsubClusterName, scnerr := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\t\t\tif scnerr != nil {\n\t\t\t\t\t\treturn nil, nil, scnerr\n\t\t\t\t\t}\n\t\t\t\t\tsubClusterTopol, scterr = archive.GetSubCluster(cluster, subClusterName)\n\t\t\t\t\tif scterr != nil {\n\t\t\t\t\t\treturn nil, nil, scterr\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\t// Always full node hwthread id list, no partial queries expected\n\t\t\t\ttopology := subClusterTopol.Topology\n\t\t\t\tacceleratorIds := topology.GetAcceleratorIDs()\n\n\t\t\t\t// Moved check here if metric matches hardware specs\n\t\t\t\tif nativeScope == schema.MetricScopeAccelerator && len(acceleratorIds) == 0 {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tscopeResults, ok := BuildScopeQueries(\n\t\t\t\t\tnativeScope, requestedScope,\n\t\t\t\t\tmetric, hostname,\n\t\t\t\t\t&topology, topology.Node, acceleratorIds,\n\t\t\t\t)\n\n\t\t\t\tif !ok {\n\t\t\t\t\treturn nil, nil, fmt.Errorf(\"METRICDATA/INTERNAL-CCMS > unsupported scope transformation: native-scope=%s, requested-scope=%s\", nativeScope, requestedScope)\n\t\t\t\t}\n\n\t\t\t\tfor _, sr := range scopeResults {\n\t\t\t\t\tqueries = append(queries, APIQuery{\n\t\t\t\t\t\tMetric:     sr.Metric,\n\t\t\t\t\t\tHostname:   sr.Hostname,\n\t\t\t\t\t\tAggregate:  sr.Aggregate,\n\t\t\t\t\t\tType:       sr.Type,\n\t\t\t\t\t\tTypeIds:    sr.TypeIds,\n\t\t\t\t\t\tResolution: resolution,\n\t\t\t\t\t})\n\t\t\t\t\tassignedScope = append(assignedScope, sr.Scope)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\treturn queries, assignedScope, nil\n}\n","structuredPatch":[{"oldStart":621,"oldLines":6,"newStart":621,"newLines":7,"lines":["   resolution int,","   from, to time.Time,","   ctx context.Context,","+  resampleAlgo string,"," ) (map[string]schema.JobData, error) {","   // Note: Order of node data is not guaranteed after this point","   queries, assignedScope, err := buildNodeQueries(cluster, subCluster, nodes, metrics, scopes, int64(resolution))"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"e4ac98c2-cea7-4430-a3ce-68040c0af1b2","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
+{"parentUuid":"69bfa8e5-14d3-4912-995b-f7a94463ec77","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01FRaqMLS5A6J8ZZu4Y3dGJK","type":"message","role":"assistant","content":[{"type":"text","text":"Now I need to check if `LoadNodeListData` in query.go calls `MemoryStore.Read` - let me look at how the resolution is passed. Looking at the query.go code, the resolution is passed through the `APIQuery.Resolution` field and processed in `FetchData`. The actual resampling for node list data happens in `MemoryStore.Read`. Let me trace where `Read` is called for node list data."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":616,"cache_read_input_tokens":89899,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":616},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZD2BB9w5rZe4GEap4Sjn","type":"assistant","uuid":"41cdad21-b6bc-430e-bdc7-40d4d90e621e","timestamp":"2026-03-19T19:51:17.596Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
+{"parentUuid":"41cdad21-b6bc-430e-bdc7-40d4d90e621e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01FRaqMLS5A6J8ZZu4Y3dGJK","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017UU9bDoyPc4BzBcZfDRBYJ","name":"Grep","input":{"pattern":"func FetchData|func.*\\.Read\\(","path":"/Users/jan/tmp/cc-backend/pkg/metricstore","output_mode":"content"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":616,"cache_read_input_tokens":89899,"output_tokens":212,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":616,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZD2BB9w5rZe4GEap4Sjn","type":"assistant","uuid":"e80ef4ef-d5d7-457b-bfe1-9f8a8e3efbe5","timestamp":"2026-03-19T19:51:18.793Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
+{"parentUuid":"e80ef4ef-d5d7-457b-bfe1-9f8a8e3efbe5","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_017UU9bDoyPc4BzBcZfDRBYJ","toolUseID":"toolu_017UU9bDoyPc4BzBcZfDRBYJ","timestamp":"2026-03-19T19:51:18.821Z","uuid":"099f4058-20a6-4311-b678-9a217e1ca82e","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
+{"parentUuid":"e80ef4ef-d5d7-457b-bfe1-9f8a8e3efbe5","isSidechain":false,"promptId":"1c46e1b2-ade5-44be-90d9-e93109c02833","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017UU9bDoyPc4BzBcZfDRBYJ","type":"tool_result","content":"pkg/metricstore/api.go:182:// The function constructs selectors based on the query parameters and calls MemoryStore.Read()\npkg/metricstore/api.go:197:func FetchData(req APIQueryRequest) (*APIQueryResponse, error) {"}]},"uuid":"8cb36ffd-d6d4-41c0-b95f-15cf1364a284","timestamp":"2026-03-19T19:51:18.821Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"pkg/metricstore/api.go:182:// The function constructs selectors based on the query parameters and calls MemoryStore.Read()\npkg/metricstore/api.go:197:func FetchData(req APIQueryRequest) (*APIQueryResponse, error) {","numLines":2},"sourceToolAssistantUUID":"e80ef4ef-d5d7-457b-bfe1-9f8a8e3efbe5","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
+{"parentUuid":"8cb36ffd-d6d4-41c0-b95f-15cf1364a284","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01CqKcMBwrd34kWPf5yycvMf","type":"message","role":"assistant","content":[{"type":"text","text":"There's a `MetricDataRepository` interface I need to update too. Let me find it:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":554,"cache_read_input_tokens":90515,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":554},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZD2BgN6hot6BwyYWY1FH","type":"assistant","uuid":"bf3ab29e-648c-4eec-bf31-9d753f6e89e7","timestamp":"2026-03-19T19:51:23.244Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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err != nil {\n\t\t\treturn fmt.Errorf(\"[METRICDISPATCH]> External Metric Store Config Init: Could not decode config file '%s' Error: %s\", rawConfig, err.Error())\n\t\t}\n\n\t\tif len(configs) == 0 {\n\t\t\treturn fmt.Errorf(\"[METRICDISPATCH]> No external metric store configurations found in config file\")\n\t\t}\n\n\t\tfor _, config := range configs {\n\t\t\tmetricDataRepos[config.Scope] = ccms.NewCCMetricStore(config.URL, config.Token)\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc GetMetricDataRepo(cluster string, subcluster string) (MetricDataRepository, error) {\n\tvar repo MetricDataRepository\n\tvar ok bool\n\n\tkey := cluster + \"-\" + subcluster\n\trepo, ok = metricDataRepos[key]\n\n\tif !ok {\n\t\trepo, ok = metricDataRepos[cluster]\n\n\t\tif !ok {\n\t\t\trepo, ok = metricDataRepos[\"*\"]\n\n\t\t\tif !ok {\n\t\t\t\tif metricstore.MetricStoreHandle == nil {\n\t\t\t\t\treturn nil, fmt.Errorf(\"[METRICDISPATCH]> no metric data repository configured '%s'\", key)\n\t\t\t\t}\n\n\t\t\t\trepo = metricstore.MetricStoreHandle\n\t\t\t\tcclog.Debugf(\"[METRICDISPATCH]> Using internal metric data repository for '%s'\", key)\n\t\t\t}\n\t\t}\n\t}\n\n\treturn repo, nil\n}\n\n// GetHealthCheckRepo returns the MetricDataRepository for performing health checks on a cluster.\n// It uses the same fallback logic as GetMetricDataRepo: cluster → wildcard → internal.\nfunc GetHealthCheckRepo(cluster string) (MetricDataRepository, error) {\n\treturn GetMetricDataRepo(cluster, \"\")\n}\n","structuredPatch":[{"oldStart":51,"oldLines":7,"newStart":51,"newLines":8,"lines":["     scopes []schema.MetricScope,","     resolution int,","     from, to time.Time,","-    ctx context.Context) (map[string]schema.JobData, error)","+    ctx context.Context,","+    resampleAlgo string) (map[string]schema.JobData, error)"," ","   // HealthCheck evaluates the monitoring state for a set of nodes against expected metrics.","   HealthCheck(cluster string,"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"d0e98556-6eb6-4cc6-b83e-31b5bf5b2ecb","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides an efficient in-memory time-series metric storage system\n// with support for hierarchical data organization, checkpointing, and archiving.\n//\n// The package organizes metrics in a tree structure (cluster → host → component) and\n// provides concurrent read/write access to metric data with configurable aggregation strategies.\n// Background goroutines handle periodic checkpointing (JSON or Avro format), archiving old data,\n// and enforcing retention policies.\n//\n// Key features:\n//   - In-memory metric storage with configurable retention\n//   - Hierarchical data organization (selectors)\n//   - Concurrent checkpoint/archive workers\n//   - Support for sum and average aggregation\n//   - NATS integration for metric ingestion\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"runtime\"\n\t\"runtime/debug\"\n\t\"slices\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// GlobalState holds the global state for the metric store with thread-safe access.\ntype GlobalState struct {\n\tmu                sync.RWMutex\n\tlastRetentionTime int64\n\tselectorsExcluded bool\n}\n\nvar (\n\tsingleton  sync.Once\n\tmsInstance *MemoryStore\n\t// shutdownFunc stores the context cancellation function created in Init\n\t// and is called during Shutdown to cancel all background goroutines\n\tshutdownFunc   context.CancelFunc\n\tshutdownFuncMu sync.Mutex // Protects shutdownFunc from concurrent access\n\t// Create a global instance\n\tstate = &GlobalState{}\n)\n\n// NodeProvider provides information about nodes currently in use by running jobs.\n//\n// This interface allows metricstore to query job information without directly\n// depending on the repository package, breaking the import cycle.\n//\n// Implementations should return nodes that are actively processing jobs started\n// before the given timestamp. These nodes will be excluded from retention-based\n// garbage collection to prevent data loss for jobs that are still running or\n// recently completed.\ntype NodeProvider interface {\n\t// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n\t// that are currently in use by jobs that started before the given timestamp.\n\t//\n\t// Parameters:\n\t//   - ts: Unix timestamp threshold - returns nodes with jobs started before this time\n\t//\n\t// Returns:\n\t//   - Map of cluster names to lists of node hostnames that should be excluded from garbage collection\n\t//   - Error if the query fails\n\tGetUsedNodes(ts int64) (map[string][]string, error)\n}\n\n// Metric represents a single metric data point to be written to the store.\ntype Metric struct {\n\tName  string\n\tValue schema.Float\n\t// MetricConfig contains frequency and aggregation settings for this metric.\n\t// If Frequency is 0, configuration will be looked up from MemoryStore.Metrics during Write().\n\tMetricConfig MetricConfig\n}\n\n// MemoryStore is the main in-memory time-series metric storage implementation.\n//\n// It organizes metrics in a hierarchical tree structure where each level represents\n// a component of the system hierarchy (e.g., cluster → host → CPU). Each level can\n// store multiple metrics as time-series buffers.\n//\n// The store is initialized as a singleton via InitMetrics() and accessed via GetMemoryStore().\n// All public methods are safe for concurrent use.\ntype MemoryStore struct {\n\tMetrics      map[string]MetricConfig\n\troot         Level\n\tnodeProvider NodeProvider\n}\n\n// Init initializes the metric store from configuration and starts background workers.\n//\n// This function must be called exactly once before any other metricstore operations.\n// It performs the following initialization steps:\n//  1. Validates and decodes the metric store configuration\n//  2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n//  3. Loads metric configurations from all registered clusters\n//  4. Restores checkpoints within the retention window\n//  5. Starts background workers for retention, checkpointing, archiving, and monitoring\n//  6. Optionally subscribes to NATS for real-time metric ingestion\n//\n// Parameters:\n//   - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n//   - wg: WaitGroup that will be incremented for each background goroutine started\n//\n// The function will call cclog.Fatal on critical errors during initialization.\n// Use Shutdown() to cleanly stop all background workers started by Init().\n//\n// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n// receiving termination signals to ensure checkpoint data is persisted.\nfunc Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n\tstartupTime := time.Now()\n\n\tif rawConfig != nil {\n\t\tconfig.Validate(configSchema, rawConfig)\n\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n\t\tdec.DisallowUnknownFields()\n\t\tif err := dec.Decode(&Keys); err != nil {\n\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n\t\t}\n\t}\n\n\t// Set NumWorkers from config or use default\n\tif Keys.NumWorkers <= 0 {\n\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n\t}\n\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n\n\t// Pass the config.MetricStoreKeys\n\tInitMetrics(metrics)\n\n\tms := GetMemoryStore()\n\n\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\tif err != nil {\n\t\tcclog.Fatal(err)\n\t}\n\n\trestoreFrom := startupTime.Add(-d)\n\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n\tif err != nil {\n\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n\t} else {\n\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n\t}\n\n\t// Try to use less memory by forcing a GC run here and then\n\t// lowering the target percentage. The default of 100 means\n\t// that only once the ratio of new allocations execeds the\n\t// previously active heap, a GC is triggered.\n\t// Forcing a GC here will set the \"previously active heap\"\n\t// to a minumum.\n\t// runtime.GC()\n\n\tctx, shutdown := context.WithCancel(context.Background())\n\n\tRetention(wg, ctx)\n\tCheckpointing(wg, ctx)\n\tCleanUp(wg, ctx)\n\tWALStaging(wg, ctx)\n\tMemoryUsageTracker(wg, ctx)\n\n\t// Note: Signal handling has been removed from this function.\n\t// The caller is responsible for handling shutdown signals and calling\n\t// the shutdown() function when appropriate.\n\t// Store the shutdown function for later use by Shutdown()\n\tshutdownFuncMu.Lock()\n\tshutdownFunc = shutdown\n\tshutdownFuncMu.Unlock()\n\n\tif Keys.Subscriptions != nil {\n\t\twg.Go(func() {\n\t\t\tif err := ReceiveNats(ms, Keys.NumWorkers, ctx); err != nil {\n\t\t\t\tcclog.Fatal(err)\n\t\t\t}\n\t\t})\n\t}\n}\n\n// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n//\n// This function must be called before GetMemoryStore() and can only be called once due to\n// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n//\n// Parameters:\n//   - metrics: Map of metric names to their configurations (frequency and aggregation strategy)\n//\n// Panics if any metric has Frequency == 0, which indicates an invalid configuration.\n//\n// After this call, the global msInstance is ready for use via GetMemoryStore().\nfunc InitMetrics(metrics map[string]MetricConfig) {\n\tsingleton.Do(func() {\n\t\toffset := 0\n\t\tfor key, cfg := range metrics {\n\t\t\tif cfg.Frequency == 0 {\n\t\t\t\tpanic(\"[METRICSTORE]> invalid frequency\")\n\t\t\t}\n\n\t\t\tmetrics[key] = MetricConfig{\n\t\t\t\tFrequency:   cfg.Frequency,\n\t\t\t\tAggregation: cfg.Aggregation,\n\t\t\t\toffset:      offset,\n\t\t\t}\n\t\t\toffset += 1\n\t\t}\n\n\t\tmsInstance = &MemoryStore{\n\t\t\troot: Level{\n\t\t\t\tmetrics:  make([]*buffer, len(metrics)),\n\t\t\t\tchildren: make(map[string]*Level),\n\t\t\t},\n\t\t\tMetrics: metrics,\n\t\t}\n\t})\n}\n\n// GetMemoryStore returns the singleton MemoryStore instance.\n//\n// Returns the initialized MemoryStore singleton. Calls cclog.Fatal if InitMetrics() was not called first.\n//\n// This function is safe for concurrent use after initialization.\nfunc GetMemoryStore() *MemoryStore {\n\tif msInstance == nil {\n\t\tcclog.Warnf(\"[METRICSTORE]> MemoryStore not initialized!\")\n\t}\n\n\treturn msInstance\n}\n\nfunc (ms *MemoryStore) GetMetricFrequency(metricName string) (int64, error) {\n\tif metric, ok := ms.Metrics[metricName]; ok {\n\t\treturn metric.Frequency, nil\n\t}\n\treturn 0, fmt.Errorf(\"[METRICSTORE]> metric %s not found\", metricName)\n}\n\n// SetNodeProvider sets the NodeProvider implementation for the MemoryStore.\n// This must be called during initialization to provide job state information\n// for selective buffer retention during Free operations.\n// If not set, the Free function will fall back to freeing all buffers.\nfunc (ms *MemoryStore) SetNodeProvider(provider NodeProvider) {\n\tms.nodeProvider = provider\n}\n\n// Shutdown performs a graceful shutdown of the metric store.\n//\n// This function cancels all background goroutines started by Init() and writes\n// a final checkpoint to disk before returning. It should be called when the\n// application receives a termination signal.\n//\n// The function will:\n//  1. Cancel the context to stop all background workers\n//  2. Close the WAL messages channel if using WAL format\n//  3. Write a final checkpoint to preserve in-memory data\n//  4. Log any errors encountered during shutdown\n//\n// Note: This function blocks until the final checkpoint is written.\nfunc Shutdown() {\n\tshutdownFuncMu.Lock()\n\tdefer shutdownFuncMu.Unlock()\n\tif shutdownFunc != nil {\n\t\tshutdownFunc()\n\t}\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tfor _, ch := range walShardChs {\n\t\t\tclose(ch)\n\t\t}\n\t}\n\n\tcclog.Infof(\"[METRICSTORE]> Writing to '%s'...\\n\", Keys.Checkpoints.RootDir)\n\tvar files int\n\tvar err error\n\n\tms := GetMemoryStore()\n\n\tlastCheckpointMu.Lock()\n\tfrom := lastCheckpoint\n\tlastCheckpointMu.Unlock()\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tvar hostDirs []string\n\t\tfiles, hostDirs, err = ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t\tif err == nil {\n\t\t\tRotateWALFilesAfterShutdown(hostDirs)\n\t\t}\n\t} else {\n\t\tfiles, err = ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t}\n\n\tif err != nil {\n\t\tcclog.Errorf(\"[METRICSTORE]> Writing checkpoint failed: %s\\n\", err.Error())\n\t}\n\tcclog.Infof(\"[METRICSTORE]> Done! (%d files written)\\n\", files)\n}\n\n// Retention starts a background goroutine that periodically frees old metric data.\n//\n// This worker runs at half the retention interval and calls Free() to remove buffers\n// older than the configured retention time. It respects the NodeProvider to preserve\n// data for nodes with active jobs.\n//\n// Parameters:\n//   - wg: WaitGroup to signal completion when context is cancelled\n//   - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc Retention(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\ttickInterval := d / 2\n\t\tif tickInterval <= 0 {\n\t\t\treturn\n\t\t}\n\t\tticker := time.NewTicker(tickInterval)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tstate.mu.Lock()\n\n\t\t\t\tt := time.Now().Add(-d)\n\n\t\t\t\tstate.lastRetentionTime = t.Unix()\n\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start freeing buffers (older than %s)...\\n\", t.Format(time.RFC3339))\n\n\t\t\t\tfreed, err := Free(ms, t)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> freeing up buffers failed: %s\\n\", err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d buffers freed\\n\", freed)\n\t\t\t\t}\n\n\t\t\t\tstate.mu.Unlock()\n\n\t\t\t\t// Clean up the buffer pool\n\t\t\t\tbufferPool.Clean(state.lastRetentionTime)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// MemoryUsageTracker starts a background goroutine that monitors memory usage.\n//\n// This worker checks actual process memory usage (via runtime.MemStats) periodically\n// and force-frees buffers if memory exceeds the configured cap. It uses FreeOSMemory()\n// to return memory to the OS after freeing buffers, avoiding aggressive GC that causes\n// performance issues.\n//\n// The tracker logs both actual memory usage (heap allocated) and metric data size for\n// visibility into memory overhead from Go runtime structures and allocations.\n//\n// Parameters:\n//   - wg: WaitGroup to signal completion when context is cancelled\n//   - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n\t\tfastInterval := 30 * time.Second\n\n\t\tif normalInterval <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(normalInterval)\n\t\tdefer ticker.Stop()\n\t\tcurrentInterval := normalInterval\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tvar mem runtime.MemStats\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n\t\t\t\tmetricDataGB := ms.SizeInGB()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n\n\t\t\t\tfreedExcluded := 0\n\t\t\t\tfreedEmergency := 0\n\t\t\t\tvar err error\n\n\t\t\t\tstate.mu.RLock()\n\t\t\t\tlastRetention := state.lastRetentionTime\n\t\t\t\tselectorsExcluded := state.selectorsExcluded\n\t\t\t\tstate.mu.RUnlock()\n\n\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n\t\t\t\t\t}\n\n\t\t\t\t\tif freedExcluded > 0 {\n\t\t\t\t\t\tdebug.FreeOSMemory()\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n\n\t\t\t\t\t// Use progressive time-based Free with increasing threshold\n\t\t\t\t\t// instead of ForceFree loop — fewer tree traversals, more effective\n\t\t\t\t\td, parseErr := time.ParseDuration(Keys.RetentionInMemory)\n\t\t\t\t\tif parseErr != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> cannot parse retention duration: %s\", parseErr)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tthresholds := []float64{0.75, 0.5, 0.25}\n\t\t\t\t\t\tfor _, fraction := range thresholds {\n\t\t\t\t\t\t\tthreshold := time.Now().Add(-time.Duration(float64(d) * fraction))\n\t\t\t\t\t\t\tfreed, freeErr := ms.Free(nil, threshold.Unix())\n\t\t\t\t\t\t\tif freeErr != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s\", fraction*100, freeErr)\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tfreedEmergency += freed\n\n\t\t\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\t\t\truntime.GC()\n\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n\t\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\tdebug.FreeOSMemory()\n\n\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after emergency frees (%d buffers), memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\t// Adaptive ticker: check more frequently when memory is high\n\t\t\t\tmemoryRatio := actualMemoryGB / float64(Keys.MemoryCap)\n\t\t\t\tif memoryRatio > 0.8 && currentInterval != fastInterval {\n\t\t\t\t\tticker.Reset(fastInterval)\n\t\t\t\t\tcurrentInterval = fastInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)\", memoryRatio*100)\n\t\t\t\t} else if memoryRatio <= 0.8 && currentInterval != normalInterval {\n\t\t\t\t\tticker.Reset(normalInterval)\n\t\t\t\t\tcurrentInterval = normalInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval\", memoryRatio*100)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\n// Free removes metric data older than the given time while preserving data for active nodes.\n//\n// This function implements intelligent retention by consulting the NodeProvider (if configured)\n// to determine which nodes are currently in use by running jobs. Data for these nodes is\n// preserved even if older than the retention time.\n//\n// Parameters:\n//   - ms: The MemoryStore instance\n//   - t: Time threshold - buffers with data older than this will be freed\n//\n// Returns:\n//   - Number of buffers freed\n//   - Error if NodeProvider query fails\n//\n// Behavior:\n//   - If no NodeProvider is set: frees all buffers older than t\n//   - If NodeProvider returns empty map: frees all buffers older than t\n//   - Otherwise: preserves buffers for nodes returned by GetUsedNodes(), frees others\nfunc Free(ms *MemoryStore, t time.Time) (int, error) {\n\t// If no NodeProvider is configured, free all buffers older than t\n\tif ms.nodeProvider == nil {\n\t\treturn ms.Free(nil, t.Unix())\n\t}\n\n\texcludeSelectors, err := ms.nodeProvider.GetUsedNodes(t.Unix())\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\tswitch lenMap := len(excludeSelectors); lenMap {\n\n\t// If the length of the map returned by GetUsedNodes() is 0,\n\t// then use default Free method with nil selector\n\tcase 0:\n\t\tstate.selectorsExcluded = false\n\t\treturn ms.Free(nil, t.Unix())\n\n\t// Else formulate selectors, exclude those from the map\n\t// and free the rest of the selectors\n\tdefault:\n\t\tstate.selectorsExcluded = true\n\t\tselectors := GetSelectors(ms, excludeSelectors)\n\t\treturn FreeSelected(ms, selectors, t)\n\t}\n}\n\n// FreeSelected frees buffers for specific selectors while preserving others.\n//\n// This function is used when we want to retain some specific nodes beyond the retention time.\n// It iterates through the provided selectors and frees their associated buffers.\n//\n// Parameters:\n//   - ms: The MemoryStore instance\n//   - selectors: List of selector paths to free (e.g., [[\"cluster1\", \"node1\"], [\"cluster2\", \"node2\"]])\n//   - t: Time threshold for freeing buffers\n//\n// Returns the total number of buffers freed and any error encountered.\nfunc FreeSelected(ms *MemoryStore, selectors [][]string, t time.Time) (int, error) {\n\tfreed := 0\n\n\tfor _, selector := range selectors {\n\n\t\tfreedBuffers, err := ms.Free(selector, t.Unix())\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"error while freeing selected buffers: %#v\", err)\n\t\t}\n\t\tfreed += freedBuffers\n\n\t}\n\n\treturn freed, nil\n}\n\n// GetSelectors returns all selectors at depth 2 (cluster/node level) that are NOT in the exclusion map.\n//\n// This function generates a list of selectors whose buffers should be freed by excluding\n// selectors that correspond to nodes currently in use by running jobs.\n//\n// Parameters:\n//   - ms: The MemoryStore instance\n//   - excludeSelectors: Map of cluster names to node hostnames that should NOT be freed\n//\n// Returns a list of selectors ([]string paths) that can be safely freed.\n//\n// Example:\n//\n//\tIf the tree has paths [\"emmy\", \"node001\"] and [\"emmy\", \"node002\"],\n//\tand excludeSelectors contains {\"emmy\": [\"node001\"]},\n//\tthen only [[\"emmy\", \"node002\"]] is returned.\nfunc GetSelectors(ms *MemoryStore, excludeSelectors map[string][]string) [][]string {\n\tallSelectors := ms.GetPaths(2)\n\n\tfilteredSelectors := make([][]string, 0, len(allSelectors))\n\n\tfor _, path := range allSelectors {\n\t\tif len(path) < 2 {\n\t\t\tcontinue\n\t\t}\n\n\t\tkey := path[0]   // The \"Key\" (Level 1)\n\t\tvalue := path[1] // The \"Value\" (Level 2)\n\n\t\texclude := false\n\n\t\t// Check if the key exists in our exclusion map\n\t\tif excludedValues, exists := excludeSelectors[key]; exists {\n\t\t\t// The key exists, now check if the specific value is in the exclusion list\n\t\t\tif slices.Contains(excludedValues, value) {\n\t\t\t\texclude = true\n\t\t\t}\n\t\t}\n\n\t\tif !exclude {\n\t\t\tfilteredSelectors = append(filteredSelectors, path)\n\t\t}\n\t}\n\n\treturn filteredSelectors\n}\n\n// GetPaths returns a list of lists (paths) to the specified depth.\nfunc (ms *MemoryStore) GetPaths(targetDepth int) [][]string {\n\tvar results [][]string\n\n\t// Start recursion. Initial path is empty.\n\t// We treat Root as depth 0.\n\tms.root.collectPaths(0, targetDepth, []string{}, &results)\n\n\treturn results\n}\n\n// Write all values in `metrics` to the level specified by `selector` for time `ts`.\n// Look at `findLevelOrCreate` for how selectors work.\nfunc (m *MemoryStore) Write(selector []string, ts int64, metrics []Metric) error {\n\tvar ok bool\n\tfor i, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tmetric.MetricConfig, ok = m.Metrics[metric.Name]\n\t\t\tif !ok {\n\t\t\t\tcclog.Debugf(\"[METRICSTORE]> Unknown metric '%s' in Write() - skipping\", metric.Name)\n\t\t\t\tmetric.MetricConfig.Frequency = 0\n\t\t\t}\n\t\t\tmetrics[i] = metric\n\t\t}\n\t}\n\n\treturn m.WriteToLevel(&m.root, selector, ts, metrics)\n}\n\nfunc (m *MemoryStore) GetLevel(selector []string) *Level {\n\treturn m.root.findLevelOrCreate(selector, len(m.Metrics))\n}\n\n// WriteToLevel assumes that `minfo` in `metrics` is filled in\nfunc (m *MemoryStore) WriteToLevel(l *Level, selector []string, ts int64, metrics []Metric) error {\n\tl = l.findLevelOrCreate(selector, len(m.Metrics))\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tfor _, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tcontinue\n\t\t}\n\n\t\tb := l.metrics[metric.MetricConfig.offset]\n\t\tif b == nil {\n\t\t\t// First write to this metric and level\n\t\t\tb = newBuffer(ts, metric.MetricConfig.Frequency)\n\t\t\tl.metrics[metric.MetricConfig.offset] = b\n\t\t}\n\n\t\tnb, err := b.write(ts, metric.Value)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\t// Last write created a new buffer...\n\t\tif b != nb {\n\t\t\tl.metrics[metric.MetricConfig.offset] = nb\n\t\t}\n\t}\n\treturn nil\n}\n\n// Read returns all values for metric `metric` from `from` to `to` for the selected level(s).\n// If the level does not hold the metric itself, the data will be aggregated recursively from the children.\n// The second and third return value are the actual from/to for the data. Those can be different from\n// the range asked for if no data was available.\nfunc (m *MemoryStore) Read(selector util.Selector, metric string, from, to, resolution int64) ([]schema.Float, int64, int64, int64, error) {\n\tif from > to {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid time range\")\n\t}\n\n\tminfo, ok := m.Metrics[metric]\n\tif !ok {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> unknown metric: \" + metric)\n\t}\n\n\tn, data := 0, make([]schema.Float, (to-from)/minfo.Frequency+1)\n\n\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n\t\tcdata, cfrom, cto, err := b.read(from, to, data)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif n == 0 {\n\t\t\tfrom, to = cfrom, cto\n\t\t} else if from != cfrom || to != cto || len(data) != len(cdata) {\n\t\t\tmissingfront, missingback := int((from-cfrom)/minfo.Frequency), int((to-cto)/minfo.Frequency)\n\t\t\tif missingfront != 0 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tnewlen := len(cdata) - missingback\n\t\t\tif newlen < 1 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\t\t\tcdata = cdata[0:newlen]\n\t\t\tif len(cdata) != len(data) {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tfrom, to = cfrom, cto\n\t\t}\n\n\t\tdata = cdata\n\t\tn += 1\n\t\treturn nil\n\t})\n\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t} else if n == 0 {\n\t\treturn nil, 0, 0, 0, ErrNoHostOrMetric\n\t} else if n > 1 {\n\t\tif minfo.Aggregation == AvgAggregation {\n\t\t\tnormalize := 1. / schema.Float(n)\n\t\t\tfor i := 0; i < len(data); i++ {\n\t\t\t\tdata[i] *= normalize\n\t\t\t}\n\t\t} else if minfo.Aggregation != SumAggregation {\n\t\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid aggregation\")\n\t\t}\n\t}\n\n\tdata, resolution, err = resampler.LargestTriangleThreeBucket(data, minfo.Frequency, resolution)\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t}\n\n\treturn data, from, to, resolution, nil\n}\n\n// Free releases all buffers for the selected level and all its children that\n// contain only values older than `t`.\nfunc (m *MemoryStore) Free(selector []string, t int64) (int, error) {\n\treturn m.GetLevel(selector).free(t)\n}\n\n// ForceFree unconditionally removes the oldest buffer from each metric chain.\nfunc (m *MemoryStore) ForceFree() (int, error) {\n\treturn m.GetLevel(nil).forceFree()\n}\n\nfunc (m *MemoryStore) FreeAll() error {\n\tm.root.lock.Lock()\n\tdefer m.root.lock.Unlock()\n\n\tfor k := range m.root.children {\n\t\tdelete(m.root.children, k)\n\t}\n\n\treturn nil\n}\n\nfunc (m *MemoryStore) SizeInBytes() int64 {\n\treturn m.root.sizeInBytes()\n}\n\nfunc (m *MemoryStore) SizeInGB() float64 {\n\treturn float64(m.root.sizeInBytes()) / 1e9\n}\n\n// ListChildren , given a selector, returns a list of all children of the level\n// selected.\nfunc (m *MemoryStore) ListChildren(selector []string) []string {\n\tlvl := &m.root\n\tfor lvl != nil && len(selector) != 0 {\n\t\tlvl.lock.RLock()\n\t\tnext := lvl.children[selector[0]]\n\t\tlvl.lock.RUnlock()\n\t\tlvl = next\n\t\tselector = selector[1:]\n\t}\n\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\tlvl.lock.RLock()\n\tdefer lvl.lock.RUnlock()\n\n\tchildren := make([]string, 0, len(lvl.children))\n\tfor child := range lvl.children {\n\t\tchildren = append(children, child)\n\t}\n\n\treturn children\n}\n","structuredPatch":[{"oldStart":679,"oldLines":7,"newStart":679,"newLines":7,"lines":[" // If the level does not hold the metric itself, the data will be aggregated recursively from the children."," // The second and third return value are the actual from/to for the data. Those can be different from"," // the range asked for if no data was available.","-func (m *MemoryStore) Read(selector util.Selector, metric string, from, to, resolution int64) ([]schema.Float, int64, int64, int64, error) {","+func (m *MemoryStore) Read(selector util.Selector, metric string, from, to, resolution int64, resampleAlgo string) ([]schema.Float, int64, int64, int64, error) {","   if from > to {","     return nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid time range\")","   }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"2ab2f0d6-9066-457a-801c-3db0b6386169","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides an efficient in-memory time-series metric storage system\n// with support for hierarchical data organization, checkpointing, and archiving.\n//\n// The package organizes metrics in a tree structure (cluster → host → component) and\n// provides concurrent read/write access to metric data with configurable aggregation strategies.\n// Background goroutines handle periodic checkpointing (JSON or Avro format), archiving old data,\n// and enforcing retention policies.\n//\n// Key features:\n//   - In-memory metric storage with configurable retention\n//   - Hierarchical data organization (selectors)\n//   - Concurrent checkpoint/archive workers\n//   - Support for sum and average aggregation\n//   - NATS integration for metric ingestion\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"runtime\"\n\t\"runtime/debug\"\n\t\"slices\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// GlobalState holds the global state for the metric store with thread-safe access.\ntype GlobalState struct {\n\tmu                sync.RWMutex\n\tlastRetentionTime int64\n\tselectorsExcluded bool\n}\n\nvar (\n\tsingleton  sync.Once\n\tmsInstance *MemoryStore\n\t// shutdownFunc stores the context cancellation function created in Init\n\t// and is called during Shutdown to cancel all background goroutines\n\tshutdownFunc   context.CancelFunc\n\tshutdownFuncMu sync.Mutex // Protects shutdownFunc from concurrent access\n\t// Create a global instance\n\tstate = &GlobalState{}\n)\n\n// NodeProvider provides information about nodes currently in use by running jobs.\n//\n// This interface allows metricstore to query job information without directly\n// depending on the repository package, breaking the import cycle.\n//\n// Implementations should return nodes that are actively processing jobs started\n// before the given timestamp. These nodes will be excluded from retention-based\n// garbage collection to prevent data loss for jobs that are still running or\n// recently completed.\ntype NodeProvider interface {\n\t// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n\t// that are currently in use by jobs that started before the given timestamp.\n\t//\n\t// Parameters:\n\t//   - ts: Unix timestamp threshold - returns nodes with jobs started before this time\n\t//\n\t// Returns:\n\t//   - Map of cluster names to lists of node hostnames that should be excluded from garbage collection\n\t//   - Error if the query fails\n\tGetUsedNodes(ts int64) (map[string][]string, error)\n}\n\n// Metric represents a single metric data point to be written to the store.\ntype Metric struct {\n\tName  string\n\tValue schema.Float\n\t// MetricConfig contains frequency and aggregation settings for this metric.\n\t// If Frequency is 0, configuration will be looked up from MemoryStore.Metrics during Write().\n\tMetricConfig MetricConfig\n}\n\n// MemoryStore is the main in-memory time-series metric storage implementation.\n//\n// It organizes metrics in a hierarchical tree structure where each level represents\n// a component of the system hierarchy (e.g., cluster → host → CPU). Each level can\n// store multiple metrics as time-series buffers.\n//\n// The store is initialized as a singleton via InitMetrics() and accessed via GetMemoryStore().\n// All public methods are safe for concurrent use.\ntype MemoryStore struct {\n\tMetrics      map[string]MetricConfig\n\troot         Level\n\tnodeProvider NodeProvider\n}\n\n// Init initializes the metric store from configuration and starts background workers.\n//\n// This function must be called exactly once before any other metricstore operations.\n// It performs the following initialization steps:\n//  1. Validates and decodes the metric store configuration\n//  2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n//  3. Loads metric configurations from all registered clusters\n//  4. Restores checkpoints within the retention window\n//  5. Starts background workers for retention, checkpointing, archiving, and monitoring\n//  6. Optionally subscribes to NATS for real-time metric ingestion\n//\n// Parameters:\n//   - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n//   - wg: WaitGroup that will be incremented for each background goroutine started\n//\n// The function will call cclog.Fatal on critical errors during initialization.\n// Use Shutdown() to cleanly stop all background workers started by Init().\n//\n// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n// receiving termination signals to ensure checkpoint data is persisted.\nfunc Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n\tstartupTime := time.Now()\n\n\tif rawConfig != nil {\n\t\tconfig.Validate(configSchema, rawConfig)\n\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n\t\tdec.DisallowUnknownFields()\n\t\tif err := dec.Decode(&Keys); err != nil {\n\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n\t\t}\n\t}\n\n\t// Set NumWorkers from config or use default\n\tif Keys.NumWorkers <= 0 {\n\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n\t}\n\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n\n\t// Pass the config.MetricStoreKeys\n\tInitMetrics(metrics)\n\n\tms := GetMemoryStore()\n\n\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\tif err != nil {\n\t\tcclog.Fatal(err)\n\t}\n\n\trestoreFrom := startupTime.Add(-d)\n\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n\tif err != nil {\n\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n\t} else {\n\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n\t}\n\n\t// Try to use less memory by forcing a GC run here and then\n\t// lowering the target percentage. The default of 100 means\n\t// that only once the ratio of new allocations execeds the\n\t// previously active heap, a GC is triggered.\n\t// Forcing a GC here will set the \"previously active heap\"\n\t// to a minumum.\n\t// runtime.GC()\n\n\tctx, shutdown := context.WithCancel(context.Background())\n\n\tRetention(wg, ctx)\n\tCheckpointing(wg, ctx)\n\tCleanUp(wg, ctx)\n\tWALStaging(wg, ctx)\n\tMemoryUsageTracker(wg, ctx)\n\n\t// Note: Signal handling has been removed from this function.\n\t// The caller is responsible for handling shutdown signals and calling\n\t// the shutdown() function when appropriate.\n\t// Store the shutdown function for later use by Shutdown()\n\tshutdownFuncMu.Lock()\n\tshutdownFunc = shutdown\n\tshutdownFuncMu.Unlock()\n\n\tif Keys.Subscriptions != nil {\n\t\twg.Go(func() {\n\t\t\tif err := ReceiveNats(ms, Keys.NumWorkers, ctx); err != nil {\n\t\t\t\tcclog.Fatal(err)\n\t\t\t}\n\t\t})\n\t}\n}\n\n// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n//\n// This function must be called before GetMemoryStore() and can only be called once due to\n// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n//\n// Parameters:\n//   - metrics: Map of metric names to their configurations (frequency and aggregation strategy)\n//\n// Panics if any metric has Frequency == 0, which indicates an invalid configuration.\n//\n// After this call, the global msInstance is ready for use via GetMemoryStore().\nfunc InitMetrics(metrics map[string]MetricConfig) {\n\tsingleton.Do(func() {\n\t\toffset := 0\n\t\tfor key, cfg := range metrics {\n\t\t\tif cfg.Frequency == 0 {\n\t\t\t\tpanic(\"[METRICSTORE]> invalid frequency\")\n\t\t\t}\n\n\t\t\tmetrics[key] = MetricConfig{\n\t\t\t\tFrequency:   cfg.Frequency,\n\t\t\t\tAggregation: cfg.Aggregation,\n\t\t\t\toffset:      offset,\n\t\t\t}\n\t\t\toffset += 1\n\t\t}\n\n\t\tmsInstance = &MemoryStore{\n\t\t\troot: Level{\n\t\t\t\tmetrics:  make([]*buffer, len(metrics)),\n\t\t\t\tchildren: make(map[string]*Level),\n\t\t\t},\n\t\t\tMetrics: metrics,\n\t\t}\n\t})\n}\n\n// GetMemoryStore returns the singleton MemoryStore instance.\n//\n// Returns the initialized MemoryStore singleton. Calls cclog.Fatal if InitMetrics() was not called first.\n//\n// This function is safe for concurrent use after initialization.\nfunc GetMemoryStore() *MemoryStore {\n\tif msInstance == nil {\n\t\tcclog.Warnf(\"[METRICSTORE]> MemoryStore not initialized!\")\n\t}\n\n\treturn msInstance\n}\n\nfunc (ms *MemoryStore) GetMetricFrequency(metricName string) (int64, error) {\n\tif metric, ok := ms.Metrics[metricName]; ok {\n\t\treturn metric.Frequency, nil\n\t}\n\treturn 0, fmt.Errorf(\"[METRICSTORE]> metric %s not found\", metricName)\n}\n\n// SetNodeProvider sets the NodeProvider implementation for the MemoryStore.\n// This must be called during initialization to provide job state information\n// for selective buffer retention during Free operations.\n// If not set, the Free function will fall back to freeing all buffers.\nfunc (ms *MemoryStore) SetNodeProvider(provider NodeProvider) {\n\tms.nodeProvider = provider\n}\n\n// Shutdown performs a graceful shutdown of the metric store.\n//\n// This function cancels all background goroutines started by Init() and writes\n// a final checkpoint to disk before returning. It should be called when the\n// application receives a termination signal.\n//\n// The function will:\n//  1. Cancel the context to stop all background workers\n//  2. Close the WAL messages channel if using WAL format\n//  3. Write a final checkpoint to preserve in-memory data\n//  4. Log any errors encountered during shutdown\n//\n// Note: This function blocks until the final checkpoint is written.\nfunc Shutdown() {\n\tshutdownFuncMu.Lock()\n\tdefer shutdownFuncMu.Unlock()\n\tif shutdownFunc != nil {\n\t\tshutdownFunc()\n\t}\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tfor _, ch := range walShardChs {\n\t\t\tclose(ch)\n\t\t}\n\t}\n\n\tcclog.Infof(\"[METRICSTORE]> Writing to '%s'...\\n\", Keys.Checkpoints.RootDir)\n\tvar files int\n\tvar err error\n\n\tms := GetMemoryStore()\n\n\tlastCheckpointMu.Lock()\n\tfrom := lastCheckpoint\n\tlastCheckpointMu.Unlock()\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tvar hostDirs []string\n\t\tfiles, hostDirs, err = ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t\tif err == nil {\n\t\t\tRotateWALFilesAfterShutdown(hostDirs)\n\t\t}\n\t} else {\n\t\tfiles, err = ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t}\n\n\tif err != nil {\n\t\tcclog.Errorf(\"[METRICSTORE]> Writing checkpoint failed: %s\\n\", err.Error())\n\t}\n\tcclog.Infof(\"[METRICSTORE]> Done! (%d files written)\\n\", files)\n}\n\n// Retention starts a background goroutine that periodically frees old metric data.\n//\n// This worker runs at half the retention interval and calls Free() to remove buffers\n// older than the configured retention time. It respects the NodeProvider to preserve\n// data for nodes with active jobs.\n//\n// Parameters:\n//   - wg: WaitGroup to signal completion when context is cancelled\n//   - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc Retention(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\ttickInterval := d / 2\n\t\tif tickInterval <= 0 {\n\t\t\treturn\n\t\t}\n\t\tticker := time.NewTicker(tickInterval)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tstate.mu.Lock()\n\n\t\t\t\tt := time.Now().Add(-d)\n\n\t\t\t\tstate.lastRetentionTime = t.Unix()\n\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start freeing buffers (older than %s)...\\n\", t.Format(time.RFC3339))\n\n\t\t\t\tfreed, err := Free(ms, t)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> freeing up buffers failed: %s\\n\", err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d buffers freed\\n\", freed)\n\t\t\t\t}\n\n\t\t\t\tstate.mu.Unlock()\n\n\t\t\t\t// Clean up the buffer pool\n\t\t\t\tbufferPool.Clean(state.lastRetentionTime)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// MemoryUsageTracker starts a background goroutine that monitors memory usage.\n//\n// This worker checks actual process memory usage (via runtime.MemStats) periodically\n// and force-frees buffers if memory exceeds the configured cap. It uses FreeOSMemory()\n// to return memory to the OS after freeing buffers, avoiding aggressive GC that causes\n// performance issues.\n//\n// The tracker logs both actual memory usage (heap allocated) and metric data size for\n// visibility into memory overhead from Go runtime structures and allocations.\n//\n// Parameters:\n//   - wg: WaitGroup to signal completion when context is cancelled\n//   - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n\t\tfastInterval := 30 * time.Second\n\n\t\tif normalInterval <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(normalInterval)\n\t\tdefer ticker.Stop()\n\t\tcurrentInterval := normalInterval\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tvar mem runtime.MemStats\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n\t\t\t\tmetricDataGB := ms.SizeInGB()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n\n\t\t\t\tfreedExcluded := 0\n\t\t\t\tfreedEmergency := 0\n\t\t\t\tvar err error\n\n\t\t\t\tstate.mu.RLock()\n\t\t\t\tlastRetention := state.lastRetentionTime\n\t\t\t\tselectorsExcluded := state.selectorsExcluded\n\t\t\t\tstate.mu.RUnlock()\n\n\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n\t\t\t\t\t}\n\n\t\t\t\t\tif freedExcluded > 0 {\n\t\t\t\t\t\tdebug.FreeOSMemory()\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n\n\t\t\t\t\t// Use progressive time-based Free with increasing threshold\n\t\t\t\t\t// instead of ForceFree loop — fewer tree traversals, more effective\n\t\t\t\t\td, parseErr := time.ParseDuration(Keys.RetentionInMemory)\n\t\t\t\t\tif parseErr != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> cannot parse retention duration: %s\", parseErr)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tthresholds := []float64{0.75, 0.5, 0.25}\n\t\t\t\t\t\tfor _, fraction := range thresholds {\n\t\t\t\t\t\t\tthreshold := time.Now().Add(-time.Duration(float64(d) * fraction))\n\t\t\t\t\t\t\tfreed, freeErr := ms.Free(nil, threshold.Unix())\n\t\t\t\t\t\t\tif freeErr != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s\", fraction*100, freeErr)\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tfreedEmergency += freed\n\n\t\t\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\t\t\truntime.GC()\n\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n\t\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\tdebug.FreeOSMemory()\n\n\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after emergency frees (%d buffers), memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\t// Adaptive ticker: check more frequently when memory is high\n\t\t\t\tmemoryRatio := actualMemoryGB / float64(Keys.MemoryCap)\n\t\t\t\tif memoryRatio > 0.8 && currentInterval != fastInterval {\n\t\t\t\t\tticker.Reset(fastInterval)\n\t\t\t\t\tcurrentInterval = fastInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)\", memoryRatio*100)\n\t\t\t\t} else if memoryRatio <= 0.8 && currentInterval != normalInterval {\n\t\t\t\t\tticker.Reset(normalInterval)\n\t\t\t\t\tcurrentInterval = normalInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval\", memoryRatio*100)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\n// Free removes metric data older than the given time while preserving data for active nodes.\n//\n// This function implements intelligent retention by consulting the NodeProvider (if configured)\n// to determine which nodes are currently in use by running jobs. Data for these nodes is\n// preserved even if older than the retention time.\n//\n// Parameters:\n//   - ms: The MemoryStore instance\n//   - t: Time threshold - buffers with data older than this will be freed\n//\n// Returns:\n//   - Number of buffers freed\n//   - Error if NodeProvider query fails\n//\n// Behavior:\n//   - If no NodeProvider is set: frees all buffers older than t\n//   - If NodeProvider returns empty map: frees all buffers older than t\n//   - Otherwise: preserves buffers for nodes returned by GetUsedNodes(), frees others\nfunc Free(ms *MemoryStore, t time.Time) (int, error) {\n\t// If no NodeProvider is configured, free all buffers older than t\n\tif ms.nodeProvider == nil {\n\t\treturn ms.Free(nil, t.Unix())\n\t}\n\n\texcludeSelectors, err := ms.nodeProvider.GetUsedNodes(t.Unix())\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\tswitch lenMap := len(excludeSelectors); lenMap {\n\n\t// If the length of the map returned by GetUsedNodes() is 0,\n\t// then use default Free method with nil selector\n\tcase 0:\n\t\tstate.selectorsExcluded = false\n\t\treturn ms.Free(nil, t.Unix())\n\n\t// Else formulate selectors, exclude those from the map\n\t// and free the rest of the selectors\n\tdefault:\n\t\tstate.selectorsExcluded = true\n\t\tselectors := GetSelectors(ms, excludeSelectors)\n\t\treturn FreeSelected(ms, selectors, t)\n\t}\n}\n\n// FreeSelected frees buffers for specific selectors while preserving others.\n//\n// This function is used when we want to retain some specific nodes beyond the retention time.\n// It iterates through the provided selectors and frees their associated buffers.\n//\n// Parameters:\n//   - ms: The MemoryStore instance\n//   - selectors: List of selector paths to free (e.g., [[\"cluster1\", \"node1\"], [\"cluster2\", \"node2\"]])\n//   - t: Time threshold for freeing buffers\n//\n// Returns the total number of buffers freed and any error encountered.\nfunc FreeSelected(ms *MemoryStore, selectors [][]string, t time.Time) (int, error) {\n\tfreed := 0\n\n\tfor _, selector := range selectors {\n\n\t\tfreedBuffers, err := ms.Free(selector, t.Unix())\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"error while freeing selected buffers: %#v\", err)\n\t\t}\n\t\tfreed += freedBuffers\n\n\t}\n\n\treturn freed, nil\n}\n\n// GetSelectors returns all selectors at depth 2 (cluster/node level) that are NOT in the exclusion map.\n//\n// This function generates a list of selectors whose buffers should be freed by excluding\n// selectors that correspond to nodes currently in use by running jobs.\n//\n// Parameters:\n//   - ms: The MemoryStore instance\n//   - excludeSelectors: Map of cluster names to node hostnames that should NOT be freed\n//\n// Returns a list of selectors ([]string paths) that can be safely freed.\n//\n// Example:\n//\n//\tIf the tree has paths [\"emmy\", \"node001\"] and [\"emmy\", \"node002\"],\n//\tand excludeSelectors contains {\"emmy\": [\"node001\"]},\n//\tthen only [[\"emmy\", \"node002\"]] is returned.\nfunc GetSelectors(ms *MemoryStore, excludeSelectors map[string][]string) [][]string {\n\tallSelectors := ms.GetPaths(2)\n\n\tfilteredSelectors := make([][]string, 0, len(allSelectors))\n\n\tfor _, path := range allSelectors {\n\t\tif len(path) < 2 {\n\t\t\tcontinue\n\t\t}\n\n\t\tkey := path[0]   // The \"Key\" (Level 1)\n\t\tvalue := path[1] // The \"Value\" (Level 2)\n\n\t\texclude := false\n\n\t\t// Check if the key exists in our exclusion map\n\t\tif excludedValues, exists := excludeSelectors[key]; exists {\n\t\t\t// The key exists, now check if the specific value is in the exclusion list\n\t\t\tif slices.Contains(excludedValues, value) {\n\t\t\t\texclude = true\n\t\t\t}\n\t\t}\n\n\t\tif !exclude {\n\t\t\tfilteredSelectors = append(filteredSelectors, path)\n\t\t}\n\t}\n\n\treturn filteredSelectors\n}\n\n// GetPaths returns a list of lists (paths) to the specified depth.\nfunc (ms *MemoryStore) GetPaths(targetDepth int) [][]string {\n\tvar results [][]string\n\n\t// Start recursion. Initial path is empty.\n\t// We treat Root as depth 0.\n\tms.root.collectPaths(0, targetDepth, []string{}, &results)\n\n\treturn results\n}\n\n// Write all values in `metrics` to the level specified by `selector` for time `ts`.\n// Look at `findLevelOrCreate` for how selectors work.\nfunc (m *MemoryStore) Write(selector []string, ts int64, metrics []Metric) error {\n\tvar ok bool\n\tfor i, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tmetric.MetricConfig, ok = m.Metrics[metric.Name]\n\t\t\tif !ok {\n\t\t\t\tcclog.Debugf(\"[METRICSTORE]> Unknown metric '%s' in Write() - skipping\", metric.Name)\n\t\t\t\tmetric.MetricConfig.Frequency = 0\n\t\t\t}\n\t\t\tmetrics[i] = metric\n\t\t}\n\t}\n\n\treturn m.WriteToLevel(&m.root, selector, ts, metrics)\n}\n\nfunc (m *MemoryStore) GetLevel(selector []string) *Level {\n\treturn m.root.findLevelOrCreate(selector, len(m.Metrics))\n}\n\n// WriteToLevel assumes that `minfo` in `metrics` is filled in\nfunc (m *MemoryStore) WriteToLevel(l *Level, selector []string, ts int64, metrics []Metric) error {\n\tl = l.findLevelOrCreate(selector, len(m.Metrics))\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tfor _, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tcontinue\n\t\t}\n\n\t\tb := l.metrics[metric.MetricConfig.offset]\n\t\tif b == nil {\n\t\t\t// First write to this metric and level\n\t\t\tb = newBuffer(ts, metric.MetricConfig.Frequency)\n\t\t\tl.metrics[metric.MetricConfig.offset] = b\n\t\t}\n\n\t\tnb, err := b.write(ts, metric.Value)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\t// Last write created a new buffer...\n\t\tif b != nb {\n\t\t\tl.metrics[metric.MetricConfig.offset] = nb\n\t\t}\n\t}\n\treturn nil\n}\n\n// Read returns all values for metric `metric` from `from` to `to` for the selected level(s).\n// If the level does not hold the metric itself, the data will be aggregated recursively from the children.\n// The second and third return value are the actual from/to for the data. Those can be different from\n// the range asked for if no data was available.\nfunc (m *MemoryStore) Read(selector util.Selector, metric string, from, to, resolution int64, resampleAlgo string) ([]schema.Float, int64, int64, int64, error) {\n\tif from > to {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid time range\")\n\t}\n\n\tminfo, ok := m.Metrics[metric]\n\tif !ok {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> unknown metric: \" + metric)\n\t}\n\n\tn, data := 0, make([]schema.Float, (to-from)/minfo.Frequency+1)\n\n\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n\t\tcdata, cfrom, cto, err := b.read(from, to, data)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif n == 0 {\n\t\t\tfrom, to = cfrom, cto\n\t\t} else if from != cfrom || to != cto || len(data) != len(cdata) {\n\t\t\tmissingfront, missingback := int((from-cfrom)/minfo.Frequency), int((to-cto)/minfo.Frequency)\n\t\t\tif missingfront != 0 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tnewlen := len(cdata) - missingback\n\t\t\tif newlen < 1 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\t\t\tcdata = cdata[0:newlen]\n\t\t\tif len(cdata) != len(data) {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tfrom, to = cfrom, cto\n\t\t}\n\n\t\tdata = cdata\n\t\tn += 1\n\t\treturn nil\n\t})\n\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t} else if n == 0 {\n\t\treturn nil, 0, 0, 0, ErrNoHostOrMetric\n\t} else if n > 1 {\n\t\tif minfo.Aggregation == AvgAggregation {\n\t\t\tnormalize := 1. / schema.Float(n)\n\t\t\tfor i := 0; i < len(data); i++ {\n\t\t\t\tdata[i] *= normalize\n\t\t\t}\n\t\t} else if minfo.Aggregation != SumAggregation {\n\t\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid aggregation\")\n\t\t}\n\t}\n\n\tdata, resolution, err = resampler.LargestTriangleThreeBucket(data, minfo.Frequency, resolution)\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t}\n\n\treturn data, from, to, resolution, nil\n}\n\n// Free releases all buffers for the selected level and all its children that\n// contain only values older than `t`.\nfunc (m *MemoryStore) Free(selector []string, t int64) (int, error) {\n\treturn m.GetLevel(selector).free(t)\n}\n\n// ForceFree unconditionally removes the oldest buffer from each metric chain.\nfunc (m *MemoryStore) ForceFree() (int, error) {\n\treturn m.GetLevel(nil).forceFree()\n}\n\nfunc (m *MemoryStore) FreeAll() error {\n\tm.root.lock.Lock()\n\tdefer m.root.lock.Unlock()\n\n\tfor k := range m.root.children {\n\t\tdelete(m.root.children, k)\n\t}\n\n\treturn nil\n}\n\nfunc (m *MemoryStore) SizeInBytes() int64 {\n\treturn m.root.sizeInBytes()\n}\n\nfunc (m *MemoryStore) SizeInGB() float64 {\n\treturn float64(m.root.sizeInBytes()) / 1e9\n}\n\n// ListChildren , given a selector, returns a list of all children of the level\n// selected.\nfunc (m *MemoryStore) ListChildren(selector []string) []string {\n\tlvl := &m.root\n\tfor lvl != nil && len(selector) != 0 {\n\t\tlvl.lock.RLock()\n\t\tnext := lvl.children[selector[0]]\n\t\tlvl.lock.RUnlock()\n\t\tlvl = next\n\t\tselector = selector[1:]\n\t}\n\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\tlvl.lock.RLock()\n\tdefer lvl.lock.RUnlock()\n\n\tchildren := make([]string, 0, len(lvl.children))\n\tfor child := range lvl.children {\n\t\tchildren = append(children, child)\n\t}\n\n\treturn children\n}\n","structuredPatch":[{"oldStart":737,"oldLines":7,"newStart":737,"newLines":11,"lines":["     }","   }"," ","-  data, resolution, err = resampler.LargestTriangleThreeBucket(data, minfo.Frequency, resolution)","+  resampleFn, rfErr := resampler.GetResampler(resampleAlgo)","+  if rfErr != nil {","+    return nil, 0, 0, 0, rfErr","+  }","+  data, resolution, err = resampleFn(data, minfo.Frequency, resolution)","   if err != nil {","     return nil, 0, 0, 0, err","   }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"7734f61f-4c35-4461-9311-812505b737c3","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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+{"parentUuid":"ed22ebf7-0e18-4210-8498-d0e86d1dd9d9","isSidechain":false,"promptId":"1c46e1b2-ade5-44be-90d9-e93109c02833","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Hzq6BbrspRGwz1tej7XvH9","type":"tool_result","content":"   175→//   - Individual queries via req.Queries\n   176→//   - Batch queries for all nodes via req.ForAllNodes\n   177→//   - Hierarchical selector construction (cluster → host → type → subtype)\n   178→//   - Optional statistics computation (avg, min, max)\n   179→//   - Optional data scaling\n   180→//   - Optional data padding with NaN values\n   181→//\n   182→// The function constructs selectors based on the query parameters and calls MemoryStore.Read()\n   183→// for each selector. If a query specifies Aggregate=false with multiple type/subtype IDs,\n   184→// separate results are returned for each combination.\n   185→//\n   186→// Parameters:\n   187→//   - req: The query request containing queries, time range, and options\n   188→//\n   189→// Returns:\n   190→//   - APIQueryResponse containing results for each query, or error if validation fails\n   191→//\n   192→// Errors:\n   193→//   - ErrInvalidTimeRange if req.From > req.To\n   194→//   - ErrEmptyCluster if req.ForAllNodes is used without specifying a cluster\n   195→//   - Error if MemoryStore is not initialized\n   196→//   - Individual query errors are stored in APIMetricData.Error field\n   197→func FetchData(req APIQueryRequest) (*APIQueryResponse, error) {\n   198→\tif req.From > req.To {\n   199→\t\treturn nil, ErrInvalidTimeRange\n   200→\t}\n   201→\tif req.Cluster == \"\" && req.ForAllNodes != nil {\n   202→\t\treturn nil, ErrEmptyCluster\n   203→\t}\n   204→\n   205→\treq.WithData = true\n   206→\tms := GetMemoryStore()\n   207→\tif ms == nil {\n   208→\t\treturn nil, fmt.Errorf(\"[METRICSTORE]> memorystore not initialized\")\n   209→\t}\n   210→\n   211→\tresponse := APIQueryResponse{\n   212→\t\tResults: make([][]APIMetricData, 0, len(req.Queries)),\n   213→\t}\n   214→\tif req.ForAllNodes != nil {\n   215→\t\tnodes := ms.ListChildren([]string{req.Cluster})\n   216→\t\tfor _, node := range nodes {\n   217→\t\t\tfor _, metric := range req.ForAllNodes {\n   218→\t\t\t\tq := APIQuery{\n   219→\t\t\t\t\tMetric:   metric,\n   220→\t\t\t\t\tHostname: node,\n   221→\t\t\t\t}\n   222→\t\t\t\treq.Queries = append(req.Queries, q)\n   223→\t\t\t\tresponse.Queries = append(response.Queries, q)\n   224→\t\t\t}\n   225→\t\t}\n   226→\t}\n   227→\n   228→\tfor _, query := range req.Queries {\n   229→\t\tsels := make([]util.Selector, 0, 1)\n   230→\t\tif query.Aggregate || query.Type == nil {\n   231→\t\t\tsel := util.Selector{{String: req.Cluster}, {String: query.Hostname}}\n   232→\t\t\tif query.Type != nil {\n   233→\t\t\t\tif len(query.TypeIds) == 1 {\n   234→\t\t\t\t\tsel = append(sel, util.SelectorElement{String: *query.Type + query.TypeIds[0]})\n   235→\t\t\t\t} else {\n   236→\t\t\t\t\tids := make([]string, len(query.TypeIds))\n   237→\t\t\t\t\tfor i, id := range query.TypeIds {\n   238→\t\t\t\t\t\tids[i] = *query.Type + id\n   239→\t\t\t\t\t}\n   240→\t\t\t\t\tsel = append(sel, util.SelectorElement{Group: ids})\n   241→\t\t\t\t}\n   242→\n   243→\t\t\t\tif query.SubType != nil {\n   244→\t\t\t\t\tif len(query.SubTypeIds) == 1 {\n   245→\t\t\t\t\t\tsel = append(sel, util.SelectorElement{String: *query.SubType + query.SubTypeIds[0]})\n   246→\t\t\t\t\t} else {\n   247→\t\t\t\t\t\tids := make([]string, len(query.SubTypeIds))\n   248→\t\t\t\t\t\tfor i, id := range query.SubTypeIds {\n   249→\t\t\t\t\t\t\tids[i] = *query.SubType + id\n   250→\t\t\t\t\t\t}\n   251→\t\t\t\t\t\tsel = append(sel, util.SelectorElement{Group: ids})\n   252→\t\t\t\t\t}\n   253→\t\t\t\t}\n   254→\t\t\t}\n   255→\t\t\tsels = append(sels, sel)\n   256→\t\t} else {\n   257→\t\t\tfor _, typeID := range query.TypeIds {\n   258→\t\t\t\tif query.SubType != nil {\n   259→\t\t\t\t\tfor _, subTypeID := range query.SubTypeIds {\n   260→\t\t\t\t\t\tsels = append(sels, util.Selector{\n   261→\t\t\t\t\t\t\t{String: req.Cluster},\n   262→\t\t\t\t\t\t\t{String: query.Hostname},\n   263→\t\t\t\t\t\t\t{String: *query.Type + typeID},\n   264→\t\t\t\t\t\t\t{String: *query.SubType + subTypeID},\n   265→\t\t\t\t\t\t})\n   266→\t\t\t\t\t}\n   267→\t\t\t\t} else {\n   268→\t\t\t\t\tsels = append(sels, util.Selector{\n   269→\t\t\t\t\t\t{String: req.Cluster},\n   270→\t\t\t\t\t\t{String: query.Hostname},\n   271→\t\t\t\t\t\t{String: *query.Type + typeID},\n   272→\t\t\t\t\t})\n   273→\t\t\t\t}\n   274→\t\t\t}\n   275→\t\t}\n   276→\n   277→\t\tvar err error\n   278→\t\tres := make([]APIMetricData, 0, len(sels))\n   279→\t\tfor _, sel := range sels {\n   280→\t\t\tdata := APIMetricData{}\n   281→\n   282→\t\t\tdata.Data, data.From, data.To, data.Resolution, err = ms.Read(sel, query.Metric, req.From, req.To, query.Resolution)\n   283→\t\t\tif err != nil {\n   284→\t\t\t\t// Skip Error If Just Missing Host or Metric, Continue\n   285→\t\t\t\t// Empty Return For Metric Handled Gracefully By Frontend\n   286→\t\t\t\tif err != ErrNoHostOrMetric {\n   287→\t\t\t\t\tmsg := err.Error()\n   288→\t\t\t\t\tdata.Error = &msg\n   289→\t\t\t\t\tres = append(res, data)\n   290→\t\t\t\t} else {\n   291→\t\t\t\t\tcclog.Debugf(\"failed to fetch '%s' from host '%s' (cluster: %s): %s\", query.Metric, query.Hostname, req.Cluster, err.Error())\n   292→\t\t\t\t}\n   293→\t\t\t\tcontinue\n   294→\t\t\t}"}]},"uuid":"96d4ab7a-3924-48c2-9857-e45a0a183ff0","timestamp":"2026-03-19T19:51:57.580Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/pkg/metricstore/api.go","content":"//   - Individual queries via req.Queries\n//   - Batch queries for all nodes via req.ForAllNodes\n//   - Hierarchical selector construction (cluster → host → type → subtype)\n//   - Optional statistics computation (avg, min, max)\n//   - Optional data scaling\n//   - Optional data padding with NaN values\n//\n// The function constructs selectors based on the query parameters and calls MemoryStore.Read()\n// for each selector. If a query specifies Aggregate=false with multiple type/subtype IDs,\n// separate results are returned for each combination.\n//\n// Parameters:\n//   - req: The query request containing queries, time range, and options\n//\n// Returns:\n//   - APIQueryResponse containing results for each query, or error if validation fails\n//\n// Errors:\n//   - ErrInvalidTimeRange if req.From > req.To\n//   - ErrEmptyCluster if req.ForAllNodes is used without specifying a cluster\n//   - Error if MemoryStore is not initialized\n//   - Individual query errors are stored in APIMetricData.Error field\nfunc FetchData(req APIQueryRequest) (*APIQueryResponse, error) {\n\tif req.From > req.To {\n\t\treturn nil, ErrInvalidTimeRange\n\t}\n\tif req.Cluster == \"\" && req.ForAllNodes != nil {\n\t\treturn nil, ErrEmptyCluster\n\t}\n\n\treq.WithData = true\n\tms := GetMemoryStore()\n\tif ms == nil {\n\t\treturn nil, fmt.Errorf(\"[METRICSTORE]> memorystore not initialized\")\n\t}\n\n\tresponse := APIQueryResponse{\n\t\tResults: make([][]APIMetricData, 0, len(req.Queries)),\n\t}\n\tif req.ForAllNodes != nil {\n\t\tnodes := ms.ListChildren([]string{req.Cluster})\n\t\tfor _, node := range nodes {\n\t\t\tfor _, metric := range req.ForAllNodes {\n\t\t\t\tq := APIQuery{\n\t\t\t\t\tMetric:   metric,\n\t\t\t\t\tHostname: node,\n\t\t\t\t}\n\t\t\t\treq.Queries = append(req.Queries, q)\n\t\t\t\tresponse.Queries = append(response.Queries, q)\n\t\t\t}\n\t\t}\n\t}\n\n\tfor _, query := range req.Queries {\n\t\tsels := make([]util.Selector, 0, 1)\n\t\tif query.Aggregate || query.Type == nil {\n\t\t\tsel := util.Selector{{String: req.Cluster}, {String: query.Hostname}}\n\t\t\tif query.Type != nil {\n\t\t\t\tif len(query.TypeIds) == 1 {\n\t\t\t\t\tsel = append(sel, util.SelectorElement{String: *query.Type + query.TypeIds[0]})\n\t\t\t\t} else {\n\t\t\t\t\tids := make([]string, len(query.TypeIds))\n\t\t\t\t\tfor i, id := range query.TypeIds {\n\t\t\t\t\t\tids[i] = *query.Type + id\n\t\t\t\t\t}\n\t\t\t\t\tsel = append(sel, util.SelectorElement{Group: ids})\n\t\t\t\t}\n\n\t\t\t\tif query.SubType != nil {\n\t\t\t\t\tif len(query.SubTypeIds) == 1 {\n\t\t\t\t\t\tsel = append(sel, util.SelectorElement{String: *query.SubType + query.SubTypeIds[0]})\n\t\t\t\t\t} else {\n\t\t\t\t\t\tids := make([]string, len(query.SubTypeIds))\n\t\t\t\t\t\tfor i, id := range query.SubTypeIds {\n\t\t\t\t\t\t\tids[i] = *query.SubType + id\n\t\t\t\t\t\t}\n\t\t\t\t\t\tsel = append(sel, util.SelectorElement{Group: ids})\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\tsels = append(sels, sel)\n\t\t} else {\n\t\t\tfor _, typeID := range query.TypeIds {\n\t\t\t\tif query.SubType != nil {\n\t\t\t\t\tfor _, subTypeID := range query.SubTypeIds {\n\t\t\t\t\t\tsels = append(sels, util.Selector{\n\t\t\t\t\t\t\t{String: req.Cluster},\n\t\t\t\t\t\t\t{String: query.Hostname},\n\t\t\t\t\t\t\t{String: *query.Type + typeID},\n\t\t\t\t\t\t\t{String: *query.SubType + subTypeID},\n\t\t\t\t\t\t})\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tsels = append(sels, util.Selector{\n\t\t\t\t\t\t{String: req.Cluster},\n\t\t\t\t\t\t{String: query.Hostname},\n\t\t\t\t\t\t{String: *query.Type + typeID},\n\t\t\t\t\t})\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tvar err error\n\t\tres := make([]APIMetricData, 0, len(sels))\n\t\tfor _, sel := range sels {\n\t\t\tdata := APIMetricData{}\n\n\t\t\tdata.Data, data.From, data.To, data.Resolution, err = ms.Read(sel, query.Metric, req.From, req.To, query.Resolution)\n\t\t\tif err != nil {\n\t\t\t\t// Skip Error If Just Missing Host or Metric, Continue\n\t\t\t\t// Empty Return For Metric Handled Gracefully By Frontend\n\t\t\t\tif err != ErrNoHostOrMetric {\n\t\t\t\t\tmsg := err.Error()\n\t\t\t\t\tdata.Error = &msg\n\t\t\t\t\tres = append(res, data)\n\t\t\t\t} else {\n\t\t\t\t\tcclog.Debugf(\"failed to fetch '%s' from host '%s' (cluster: %s): %s\", query.Metric, query.Hostname, req.Cluster, err.Error())\n\t\t\t\t}\n\t\t\t\tcontinue\n\t\t\t}","numLines":120,"startLine":175,"totalLines":315}},"sourceToolAssistantUUID":"ed22ebf7-0e18-4210-8498-d0e86d1dd9d9","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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Otherwise, separate results are returned for each combination.\n    83→type APIQuery struct {\n    84→\tType        *string      `json:\"type,omitempty\"`\n    85→\tSubType     *string      `json:\"subtype,omitempty\"`\n    86→\tMetric      string       `json:\"metric\"`\n    87→\tHostname    string       `json:\"host\"`\n    88→\tResolution  int64        `json:\"resolution\"`\n    89→\tTypeIds     []string     `json:\"type-ids,omitempty\"`\n    90→\tSubTypeIds  []string     `json:\"subtype-ids,omitempty\"`\n    91→\tScaleFactor schema.Float `json:\"scale-by,omitempty\"`\n    92→\tAggregate   bool         `json:\"aggreg\"`\n    93→}\n    94→\n    95→// AddStats computes and populates the Avg, Min, and Max fields from the Data array.\n    96→//\n    97→// NaN values in the data are ignored during computation. If all values are NaN,\n    98→// the statistics fields will be set to NaN.\n    99→//\n   100→// TODO: Optimize this, just like the stats endpoint!\n   101→func (data *APIMetricData) AddStats() {\n   102→\tn := 0"}]},"uuid":"cda2a495-b384-4391-9c9d-dcda62569ddf","timestamp":"2026-03-19T19:52:06.785Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/pkg/metricstore/api.go","content":"type APIQueryRequest struct {\n\tCluster     string     `json:\"cluster\"`\n\tQueries     []APIQuery `json:\"queries\"`\n\tForAllNodes []string   `json:\"for-all-nodes\"`\n\tFrom        int64      `json:\"from\"`\n\tTo          int64      `json:\"to\"`\n\tWithStats   bool       `json:\"with-stats\"`\n\tWithData    bool       `json:\"with-data\"`\n\tWithPadding bool       `json:\"with-padding\"`\n}\n\n// APIQueryResponse represents the response to an APIQueryRequest.\n//\n// Results is a 2D array where each outer element corresponds to a query,\n// and each inner element corresponds to a selector within that query\n// (e.g., multiple CPUs or cores).\ntype APIQueryResponse struct {\n\tQueries []APIQuery        `json:\"queries,omitempty\"`\n\tResults [][]APIMetricData `json:\"results\"`\n}\n\n// APIQuery represents a single metric query with optional hierarchical selectors.\n//\n// The hierarchical selection works as follows:\n//   - Hostname: The node to query\n//   - Type + TypeIds: First level of hierarchy (e.g., \"cpu\" + [\"0\", \"1\", \"2\"])\n//   - SubType + SubTypeIds: Second level of hierarchy (e.g., \"core\" + [\"0\", \"1\"])\n//\n// If Aggregate is true, data from multiple type/subtype IDs will be aggregated according\n// to the metric's aggregation strategy. Otherwise, separate results are returned for each combination.\ntype APIQuery struct {\n\tType        *string      `json:\"type,omitempty\"`\n\tSubType     *string      `json:\"subtype,omitempty\"`\n\tMetric      string       `json:\"metric\"`\n\tHostname    string       `json:\"host\"`\n\tResolution  int64        `json:\"resolution\"`\n\tTypeIds     []string     `json:\"type-ids,omitempty\"`\n\tSubTypeIds  []string     `json:\"subtype-ids,omitempty\"`\n\tScaleFactor schema.Float `json:\"scale-by,omitempty\"`\n\tAggregate   bool         `json:\"aggreg\"`\n}\n\n// AddStats computes and populates the Avg, Min, and Max fields from the Data array.\n//\n// NaN values in the data are ignored during computation. If all values are NaN,\n// the statistics fields will be set to NaN.\n//\n// TODO: Optimize this, just like the stats endpoint!\nfunc (data *APIMetricData) AddStats() {\n\tn := 0","numLines":50,"startLine":53,"totalLines":315}},"sourceToolAssistantUUID":"30f67e36-b5e2-485f-8d4e-ba72ca7c7838","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains the API types and data fetching logic for querying metric data\n// from the in-memory metric store. It provides structures for building complex queries\n// with support for aggregation, scaling, padding, and statistics computation.\npackage metricstore\n\nimport (\n\t\"errors\"\n\t\"fmt\"\n\t\"math\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\nvar (\n\t// ErrNoHostOrMetric is returned when the metric store does not find the host or the metric\n\tErrNoHostOrMetric error = errors.New(\"[METRICSTORE]> metric or host not found\")\n\t// ErrInvalidTimeRange is returned when a query has 'from' >= 'to'\n\tErrInvalidTimeRange = errors.New(\"[METRICSTORE]> invalid time range: 'from' must be before 'to'\")\n\t// ErrEmptyCluster is returned when a query with ForAllNodes has no cluster specified\n\tErrEmptyCluster = errors.New(\"[METRICSTORE]> cluster name cannot be empty\")\n)\n\n// APIMetricData represents the response data for a single metric query.\n//\n// It contains both the time-series data points and computed statistics (avg, min, max).\n// If an error occurred during data retrieval, the Error field will be set and other\n// fields may be incomplete.\ntype APIMetricData struct {\n\tError      *string           `json:\"error,omitempty\"`\n\tData       schema.FloatArray `json:\"data,omitempty\"`\n\tFrom       int64             `json:\"from\"`\n\tTo         int64             `json:\"to\"`\n\tResolution int64             `json:\"resolution\"`\n\tAvg        schema.Float      `json:\"avg\"`\n\tMin        schema.Float      `json:\"min\"`\n\tMax        schema.Float      `json:\"max\"`\n}\n\n// APIQueryRequest represents a batch query request for metric data.\n//\n// It supports two modes of operation:\n//  1. Explicit queries via the Queries field\n//  2. Automatic query generation via ForAllNodes (queries all specified metrics for all nodes in the cluster)\n//\n// The request can be customized with flags to include/exclude statistics, raw data, and padding.\ntype APIQueryRequest struct {\n\tCluster     string     `json:\"cluster\"`\n\tQueries     []APIQuery `json:\"queries\"`\n\tForAllNodes []string   `json:\"for-all-nodes\"`\n\tFrom        int64      `json:\"from\"`\n\tTo          int64      `json:\"to\"`\n\tWithStats   bool       `json:\"with-stats\"`\n\tWithData    bool       `json:\"with-data\"`\n\tWithPadding bool       `json:\"with-padding\"`\n}\n\n// APIQueryResponse represents the response to an APIQueryRequest.\n//\n// Results is a 2D array where each outer element corresponds to a query,\n// and each inner element corresponds to a selector within that query\n// (e.g., multiple CPUs or cores).\ntype APIQueryResponse struct {\n\tQueries []APIQuery        `json:\"queries,omitempty\"`\n\tResults [][]APIMetricData `json:\"results\"`\n}\n\n// APIQuery represents a single metric query with optional hierarchical selectors.\n//\n// The hierarchical selection works as follows:\n//   - Hostname: The node to query\n//   - Type + TypeIds: First level of hierarchy (e.g., \"cpu\" + [\"0\", \"1\", \"2\"])\n//   - SubType + SubTypeIds: Second level of hierarchy (e.g., \"core\" + [\"0\", \"1\"])\n//\n// If Aggregate is true, data from multiple type/subtype IDs will be aggregated according\n// to the metric's aggregation strategy. Otherwise, separate results are returned for each combination.\ntype APIQuery struct {\n\tType        *string      `json:\"type,omitempty\"`\n\tSubType     *string      `json:\"subtype,omitempty\"`\n\tMetric      string       `json:\"metric\"`\n\tHostname    string       `json:\"host\"`\n\tResolution  int64        `json:\"resolution\"`\n\tTypeIds     []string     `json:\"type-ids,omitempty\"`\n\tSubTypeIds  []string     `json:\"subtype-ids,omitempty\"`\n\tScaleFactor schema.Float `json:\"scale-by,omitempty\"`\n\tAggregate   bool         `json:\"aggreg\"`\n}\n\n// AddStats computes and populates the Avg, Min, and Max fields from the Data array.\n//\n// NaN values in the data are ignored during computation. If all values are NaN,\n// the statistics fields will be set to NaN.\n//\n// TODO: Optimize this, just like the stats endpoint!\nfunc (data *APIMetricData) AddStats() {\n\tn := 0\n\tsum, min, max := 0.0, math.MaxFloat64, -math.MaxFloat64\n\tfor _, x := range data.Data {\n\t\tif x.IsNaN() {\n\t\t\tcontinue\n\t\t}\n\n\t\tn += 1\n\t\tsum += float64(x)\n\t\tmin = math.Min(min, float64(x))\n\t\tmax = math.Max(max, float64(x))\n\t}\n\n\tif n > 0 {\n\t\tavg := sum / float64(n)\n\t\tdata.Avg = schema.Float(avg)\n\t\tdata.Min = schema.Float(min)\n\t\tdata.Max = schema.Float(max)\n\t} else {\n\t\tdata.Avg, data.Min, data.Max = schema.NaN, schema.NaN, schema.NaN\n\t}\n}\n\n// ScaleBy multiplies all data points and statistics by the given factor.\n//\n// This is commonly used for unit conversion (e.g., bytes to gigabytes).\n// Scaling by 0 or 1 is a no-op for performance reasons.\nfunc (data *APIMetricData) ScaleBy(f schema.Float) {\n\tif f == 1 {\n\t\treturn\n\t}\n\n\tdata.Avg *= f\n\tdata.Min *= f\n\tdata.Max *= f\n\tfor i := 0; i < len(data.Data); i++ {\n\t\tdata.Data[i] *= f\n\t}\n}\n\n// PadDataWithNull pads the beginning of the data array with NaN values if needed.\n//\n// This ensures that the data aligns with the requested 'from' timestamp, even if\n// the metric store doesn't have data for the earliest time points. This is useful\n// for maintaining consistent array indexing across multiple queries.\n//\n// Parameters:\n//   - ms: MemoryStore instance to lookup metric configuration\n//   - from: The requested start timestamp\n//   - to: The requested end timestamp (unused but kept for API consistency)\n//   - metric: The metric name to lookup frequency information\nfunc (data *APIMetricData) PadDataWithNull(ms *MemoryStore, from, to int64, metric string) {\n\tminfo, ok := ms.Metrics[metric]\n\tif !ok {\n\t\treturn\n\t}\n\n\tif (data.From / minfo.Frequency) > (from / minfo.Frequency) {\n\t\tpadfront := int((data.From / minfo.Frequency) - (from / minfo.Frequency))\n\t\tndata := make([]schema.Float, 0, padfront+len(data.Data))\n\t\tfor range padfront {\n\t\t\tndata = append(ndata, schema.NaN)\n\t\t}\n\t\tfor j := 0; j < len(data.Data); j++ {\n\t\t\tndata = append(ndata, data.Data[j])\n\t\t}\n\t\tdata.Data = ndata\n\t}\n}\n\n// FetchData executes a batch metric query request and returns the results.\n//\n// This is the primary API for retrieving metric data from the memory store. It supports:\n//   - Individual queries via req.Queries\n//   - Batch queries for all nodes via req.ForAllNodes\n//   - Hierarchical selector construction (cluster → host → type → subtype)\n//   - Optional statistics computation (avg, min, max)\n//   - Optional data scaling\n//   - Optional data padding with NaN values\n//\n// The function constructs selectors based on the query parameters and calls MemoryStore.Read()\n// for each selector. If a query specifies Aggregate=false with multiple type/subtype IDs,\n// separate results are returned for each combination.\n//\n// Parameters:\n//   - req: The query request containing queries, time range, and options\n//\n// Returns:\n//   - APIQueryResponse containing results for each query, or error if validation fails\n//\n// Errors:\n//   - ErrInvalidTimeRange if req.From > req.To\n//   - ErrEmptyCluster if req.ForAllNodes is used without specifying a cluster\n//   - Error if MemoryStore is not initialized\n//   - Individual query errors are stored in APIMetricData.Error field\nfunc FetchData(req APIQueryRequest) (*APIQueryResponse, error) {\n\tif req.From > req.To {\n\t\treturn nil, ErrInvalidTimeRange\n\t}\n\tif req.Cluster == \"\" && req.ForAllNodes != nil {\n\t\treturn nil, ErrEmptyCluster\n\t}\n\n\treq.WithData = true\n\tms := GetMemoryStore()\n\tif ms == nil {\n\t\treturn nil, fmt.Errorf(\"[METRICSTORE]> memorystore not initialized\")\n\t}\n\n\tresponse := APIQueryResponse{\n\t\tResults: make([][]APIMetricData, 0, len(req.Queries)),\n\t}\n\tif req.ForAllNodes != nil {\n\t\tnodes := ms.ListChildren([]string{req.Cluster})\n\t\tfor _, node := range nodes {\n\t\t\tfor _, metric := range req.ForAllNodes {\n\t\t\t\tq := APIQuery{\n\t\t\t\t\tMetric:   metric,\n\t\t\t\t\tHostname: node,\n\t\t\t\t}\n\t\t\t\treq.Queries = append(req.Queries, q)\n\t\t\t\tresponse.Queries = append(response.Queries, q)\n\t\t\t}\n\t\t}\n\t}\n\n\tfor _, query := range req.Queries {\n\t\tsels := make([]util.Selector, 0, 1)\n\t\tif query.Aggregate || query.Type == nil {\n\t\t\tsel := util.Selector{{String: req.Cluster}, {String: query.Hostname}}\n\t\t\tif query.Type != nil {\n\t\t\t\tif len(query.TypeIds) == 1 {\n\t\t\t\t\tsel = append(sel, util.SelectorElement{String: *query.Type + query.TypeIds[0]})\n\t\t\t\t} else {\n\t\t\t\t\tids := make([]string, len(query.TypeIds))\n\t\t\t\t\tfor i, id := range query.TypeIds {\n\t\t\t\t\t\tids[i] = *query.Type + id\n\t\t\t\t\t}\n\t\t\t\t\tsel = append(sel, util.SelectorElement{Group: ids})\n\t\t\t\t}\n\n\t\t\t\tif query.SubType != nil {\n\t\t\t\t\tif len(query.SubTypeIds) == 1 {\n\t\t\t\t\t\tsel = append(sel, util.SelectorElement{String: *query.SubType + query.SubTypeIds[0]})\n\t\t\t\t\t} else {\n\t\t\t\t\t\tids := make([]string, len(query.SubTypeIds))\n\t\t\t\t\t\tfor i, id := range query.SubTypeIds {\n\t\t\t\t\t\t\tids[i] = *query.SubType + id\n\t\t\t\t\t\t}\n\t\t\t\t\t\tsel = append(sel, util.SelectorElement{Group: ids})\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\tsels = append(sels, sel)\n\t\t} else {\n\t\t\tfor _, typeID := range query.TypeIds {\n\t\t\t\tif query.SubType != nil {\n\t\t\t\t\tfor _, subTypeID := range query.SubTypeIds {\n\t\t\t\t\t\tsels = append(sels, util.Selector{\n\t\t\t\t\t\t\t{String: req.Cluster},\n\t\t\t\t\t\t\t{String: query.Hostname},\n\t\t\t\t\t\t\t{String: *query.Type + typeID},\n\t\t\t\t\t\t\t{String: *query.SubType + subTypeID},\n\t\t\t\t\t\t})\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tsels = append(sels, util.Selector{\n\t\t\t\t\t\t{String: req.Cluster},\n\t\t\t\t\t\t{String: query.Hostname},\n\t\t\t\t\t\t{String: *query.Type + typeID},\n\t\t\t\t\t})\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tvar err error\n\t\tres := make([]APIMetricData, 0, len(sels))\n\t\tfor _, sel := range sels {\n\t\t\tdata := APIMetricData{}\n\n\t\t\tdata.Data, data.From, data.To, data.Resolution, err = ms.Read(sel, query.Metric, req.From, req.To, query.Resolution)\n\t\t\tif err != nil {\n\t\t\t\t// Skip Error If Just Missing Host or Metric, Continue\n\t\t\t\t// Empty Return For Metric Handled Gracefully By Frontend\n\t\t\t\tif err != ErrNoHostOrMetric {\n\t\t\t\t\tmsg := err.Error()\n\t\t\t\t\tdata.Error = &msg\n\t\t\t\t\tres = append(res, data)\n\t\t\t\t} else {\n\t\t\t\t\tcclog.Debugf(\"failed to fetch '%s' from host '%s' (cluster: %s): %s\", query.Metric, query.Hostname, req.Cluster, err.Error())\n\t\t\t\t}\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tif req.WithStats {\n\t\t\t\tdata.AddStats()\n\t\t\t}\n\t\t\tif query.ScaleFactor != 0 {\n\t\t\t\tdata.ScaleBy(query.ScaleFactor)\n\t\t\t}\n\t\t\tif req.WithPadding {\n\t\t\t\tdata.PadDataWithNull(ms, req.From, req.To, query.Metric)\n\t\t\t}\n\t\t\tif !req.WithData {\n\t\t\t\tdata.Data = nil\n\t\t\t}\n\t\t\tres = append(res, data)\n\t\t}\n\t\tresponse.Results = append(response.Results, res)\n\t}\n\n\treturn &response, nil\n}\n","structuredPatch":[{"oldStart":51,"oldLines":14,"newStart":51,"newLines":15,"lines":[" //"," // The request can be customized with flags to include/exclude statistics, raw data, and padding."," type APIQueryRequest struct {","-  Cluster     string     `json:\"cluster\"`","-  Queries     []APIQuery `json:\"queries\"`","-  ForAllNodes []string   `json:\"for-all-nodes\"`","-  From        int64      `json:\"from\"`","-  To          int64      `json:\"to\"`","-  WithStats   bool       `json:\"with-stats\"`","-  WithData    bool       `json:\"with-data\"`","-  WithPadding bool       `json:\"with-padding\"`","+  Cluster      string     `json:\"cluster\"`","+  Queries      []APIQuery `json:\"queries\"`","+  ForAllNodes  []string   `json:\"for-all-nodes\"`","+  From         int64      `json:\"from\"`","+  To           int64      `json:\"to\"`","+  WithStats    bool       `json:\"with-stats\"`","+  WithData     bool       `json:\"with-data\"`","+  WithPadding  bool       `json:\"with-padding\"`","+  ResampleAlgo string     `json:\"resample-algo,omitempty\"`"," }"," "," // APIQueryResponse represents the response to an APIQueryRequest."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"03da767f-2448-4334-9e9a-4d0106d8fd02","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains the API types and data fetching logic for querying metric data\n// from the in-memory metric store. It provides structures for building complex queries\n// with support for aggregation, scaling, padding, and statistics computation.\npackage metricstore\n\nimport (\n\t\"errors\"\n\t\"fmt\"\n\t\"math\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\nvar (\n\t// ErrNoHostOrMetric is returned when the metric store does not find the host or the metric\n\tErrNoHostOrMetric error = errors.New(\"[METRICSTORE]> metric or host not found\")\n\t// ErrInvalidTimeRange is returned when a query has 'from' >= 'to'\n\tErrInvalidTimeRange = errors.New(\"[METRICSTORE]> invalid time range: 'from' must be before 'to'\")\n\t// ErrEmptyCluster is returned when a query with ForAllNodes has no cluster specified\n\tErrEmptyCluster = errors.New(\"[METRICSTORE]> cluster name cannot be empty\")\n)\n\n// APIMetricData represents the response data for a single metric query.\n//\n// It contains both the time-series data points and computed statistics (avg, min, max).\n// If an error occurred during data retrieval, the Error field will be set and other\n// fields may be incomplete.\ntype APIMetricData struct {\n\tError      *string           `json:\"error,omitempty\"`\n\tData       schema.FloatArray `json:\"data,omitempty\"`\n\tFrom       int64             `json:\"from\"`\n\tTo         int64             `json:\"to\"`\n\tResolution int64             `json:\"resolution\"`\n\tAvg        schema.Float      `json:\"avg\"`\n\tMin        schema.Float      `json:\"min\"`\n\tMax        schema.Float      `json:\"max\"`\n}\n\n// APIQueryRequest represents a batch query request for metric data.\n//\n// It supports two modes of operation:\n//  1. Explicit queries via the Queries field\n//  2. Automatic query generation via ForAllNodes (queries all specified metrics for all nodes in the cluster)\n//\n// The request can be customized with flags to include/exclude statistics, raw data, and padding.\ntype APIQueryRequest struct {\n\tCluster      string     `json:\"cluster\"`\n\tQueries      []APIQuery `json:\"queries\"`\n\tForAllNodes  []string   `json:\"for-all-nodes\"`\n\tFrom         int64      `json:\"from\"`\n\tTo           int64      `json:\"to\"`\n\tWithStats    bool       `json:\"with-stats\"`\n\tWithData     bool       `json:\"with-data\"`\n\tWithPadding  bool       `json:\"with-padding\"`\n\tResampleAlgo string     `json:\"resample-algo,omitempty\"`\n}\n\n// APIQueryResponse represents the response to an APIQueryRequest.\n//\n// Results is a 2D array where each outer element corresponds to a query,\n// and each inner element corresponds to a selector within that query\n// (e.g., multiple CPUs or cores).\ntype APIQueryResponse struct {\n\tQueries []APIQuery        `json:\"queries,omitempty\"`\n\tResults [][]APIMetricData `json:\"results\"`\n}\n\n// APIQuery represents a single metric query with optional hierarchical selectors.\n//\n// The hierarchical selection works as follows:\n//   - Hostname: The node to query\n//   - Type + TypeIds: First level of hierarchy (e.g., \"cpu\" + [\"0\", \"1\", \"2\"])\n//   - SubType + SubTypeIds: Second level of hierarchy (e.g., \"core\" + [\"0\", \"1\"])\n//\n// If Aggregate is true, data from multiple type/subtype IDs will be aggregated according\n// to the metric's aggregation strategy. Otherwise, separate results are returned for each combination.\ntype APIQuery struct {\n\tType        *string      `json:\"type,omitempty\"`\n\tSubType     *string      `json:\"subtype,omitempty\"`\n\tMetric      string       `json:\"metric\"`\n\tHostname    string       `json:\"host\"`\n\tResolution  int64        `json:\"resolution\"`\n\tTypeIds     []string     `json:\"type-ids,omitempty\"`\n\tSubTypeIds  []string     `json:\"subtype-ids,omitempty\"`\n\tScaleFactor schema.Float `json:\"scale-by,omitempty\"`\n\tAggregate   bool         `json:\"aggreg\"`\n}\n\n// AddStats computes and populates the Avg, Min, and Max fields from the Data array.\n//\n// NaN values in the data are ignored during computation. If all values are NaN,\n// the statistics fields will be set to NaN.\n//\n// TODO: Optimize this, just like the stats endpoint!\nfunc (data *APIMetricData) AddStats() {\n\tn := 0\n\tsum, min, max := 0.0, math.MaxFloat64, -math.MaxFloat64\n\tfor _, x := range data.Data {\n\t\tif x.IsNaN() {\n\t\t\tcontinue\n\t\t}\n\n\t\tn += 1\n\t\tsum += float64(x)\n\t\tmin = math.Min(min, float64(x))\n\t\tmax = math.Max(max, float64(x))\n\t}\n\n\tif n > 0 {\n\t\tavg := sum / float64(n)\n\t\tdata.Avg = schema.Float(avg)\n\t\tdata.Min = schema.Float(min)\n\t\tdata.Max = schema.Float(max)\n\t} else {\n\t\tdata.Avg, data.Min, data.Max = schema.NaN, schema.NaN, schema.NaN\n\t}\n}\n\n// ScaleBy multiplies all data points and statistics by the given factor.\n//\n// This is commonly used for unit conversion (e.g., bytes to gigabytes).\n// Scaling by 0 or 1 is a no-op for performance reasons.\nfunc (data *APIMetricData) ScaleBy(f schema.Float) {\n\tif f == 1 {\n\t\treturn\n\t}\n\n\tdata.Avg *= f\n\tdata.Min *= f\n\tdata.Max *= f\n\tfor i := 0; i < len(data.Data); i++ {\n\t\tdata.Data[i] *= f\n\t}\n}\n\n// PadDataWithNull pads the beginning of the data array with NaN values if needed.\n//\n// This ensures that the data aligns with the requested 'from' timestamp, even if\n// the metric store doesn't have data for the earliest time points. This is useful\n// for maintaining consistent array indexing across multiple queries.\n//\n// Parameters:\n//   - ms: MemoryStore instance to lookup metric configuration\n//   - from: The requested start timestamp\n//   - to: The requested end timestamp (unused but kept for API consistency)\n//   - metric: The metric name to lookup frequency information\nfunc (data *APIMetricData) PadDataWithNull(ms *MemoryStore, from, to int64, metric string) {\n\tminfo, ok := ms.Metrics[metric]\n\tif !ok {\n\t\treturn\n\t}\n\n\tif (data.From / minfo.Frequency) > (from / minfo.Frequency) {\n\t\tpadfront := int((data.From / minfo.Frequency) - (from / minfo.Frequency))\n\t\tndata := make([]schema.Float, 0, padfront+len(data.Data))\n\t\tfor range padfront {\n\t\t\tndata = append(ndata, schema.NaN)\n\t\t}\n\t\tfor j := 0; j < len(data.Data); j++ {\n\t\t\tndata = append(ndata, data.Data[j])\n\t\t}\n\t\tdata.Data = ndata\n\t}\n}\n\n// FetchData executes a batch metric query request and returns the results.\n//\n// This is the primary API for retrieving metric data from the memory store. It supports:\n//   - Individual queries via req.Queries\n//   - Batch queries for all nodes via req.ForAllNodes\n//   - Hierarchical selector construction (cluster → host → type → subtype)\n//   - Optional statistics computation (avg, min, max)\n//   - Optional data scaling\n//   - Optional data padding with NaN values\n//\n// The function constructs selectors based on the query parameters and calls MemoryStore.Read()\n// for each selector. If a query specifies Aggregate=false with multiple type/subtype IDs,\n// separate results are returned for each combination.\n//\n// Parameters:\n//   - req: The query request containing queries, time range, and options\n//\n// Returns:\n//   - APIQueryResponse containing results for each query, or error if validation fails\n//\n// Errors:\n//   - ErrInvalidTimeRange if req.From > req.To\n//   - ErrEmptyCluster if req.ForAllNodes is used without specifying a cluster\n//   - Error if MemoryStore is not initialized\n//   - Individual query errors are stored in APIMetricData.Error field\nfunc FetchData(req APIQueryRequest) (*APIQueryResponse, error) {\n\tif req.From > req.To {\n\t\treturn nil, ErrInvalidTimeRange\n\t}\n\tif req.Cluster == \"\" && req.ForAllNodes != nil {\n\t\treturn nil, ErrEmptyCluster\n\t}\n\n\treq.WithData = true\n\tms := GetMemoryStore()\n\tif ms == nil {\n\t\treturn nil, fmt.Errorf(\"[METRICSTORE]> memorystore not initialized\")\n\t}\n\n\tresponse := APIQueryResponse{\n\t\tResults: make([][]APIMetricData, 0, len(req.Queries)),\n\t}\n\tif req.ForAllNodes != nil {\n\t\tnodes := ms.ListChildren([]string{req.Cluster})\n\t\tfor _, node := range nodes {\n\t\t\tfor _, metric := range req.ForAllNodes {\n\t\t\t\tq := APIQuery{\n\t\t\t\t\tMetric:   metric,\n\t\t\t\t\tHostname: node,\n\t\t\t\t}\n\t\t\t\treq.Queries = append(req.Queries, q)\n\t\t\t\tresponse.Queries = append(response.Queries, q)\n\t\t\t}\n\t\t}\n\t}\n\n\tfor _, query := range req.Queries {\n\t\tsels := make([]util.Selector, 0, 1)\n\t\tif query.Aggregate || query.Type == nil {\n\t\t\tsel := util.Selector{{String: req.Cluster}, {String: query.Hostname}}\n\t\t\tif query.Type != nil {\n\t\t\t\tif len(query.TypeIds) == 1 {\n\t\t\t\t\tsel = append(sel, util.SelectorElement{String: *query.Type + query.TypeIds[0]})\n\t\t\t\t} else {\n\t\t\t\t\tids := make([]string, len(query.TypeIds))\n\t\t\t\t\tfor i, id := range query.TypeIds {\n\t\t\t\t\t\tids[i] = *query.Type + id\n\t\t\t\t\t}\n\t\t\t\t\tsel = append(sel, util.SelectorElement{Group: ids})\n\t\t\t\t}\n\n\t\t\t\tif query.SubType != nil {\n\t\t\t\t\tif len(query.SubTypeIds) == 1 {\n\t\t\t\t\t\tsel = append(sel, util.SelectorElement{String: *query.SubType + query.SubTypeIds[0]})\n\t\t\t\t\t} else {\n\t\t\t\t\t\tids := make([]string, len(query.SubTypeIds))\n\t\t\t\t\t\tfor i, id := range query.SubTypeIds {\n\t\t\t\t\t\t\tids[i] = *query.SubType + id\n\t\t\t\t\t\t}\n\t\t\t\t\t\tsel = append(sel, util.SelectorElement{Group: ids})\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\tsels = append(sels, sel)\n\t\t} else {\n\t\t\tfor _, typeID := range query.TypeIds {\n\t\t\t\tif query.SubType != nil {\n\t\t\t\t\tfor _, subTypeID := range query.SubTypeIds {\n\t\t\t\t\t\tsels = append(sels, util.Selector{\n\t\t\t\t\t\t\t{String: req.Cluster},\n\t\t\t\t\t\t\t{String: query.Hostname},\n\t\t\t\t\t\t\t{String: *query.Type + typeID},\n\t\t\t\t\t\t\t{String: *query.SubType + subTypeID},\n\t\t\t\t\t\t})\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tsels = append(sels, util.Selector{\n\t\t\t\t\t\t{String: req.Cluster},\n\t\t\t\t\t\t{String: query.Hostname},\n\t\t\t\t\t\t{String: *query.Type + typeID},\n\t\t\t\t\t})\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tvar err error\n\t\tres := make([]APIMetricData, 0, len(sels))\n\t\tfor _, sel := range sels {\n\t\t\tdata := APIMetricData{}\n\n\t\t\tdata.Data, data.From, data.To, data.Resolution, err = ms.Read(sel, query.Metric, req.From, req.To, query.Resolution)\n\t\t\tif err != nil {\n\t\t\t\t// Skip Error If Just Missing Host or Metric, Continue\n\t\t\t\t// Empty Return For Metric Handled Gracefully By Frontend\n\t\t\t\tif err != ErrNoHostOrMetric {\n\t\t\t\t\tmsg := err.Error()\n\t\t\t\t\tdata.Error = &msg\n\t\t\t\t\tres = append(res, data)\n\t\t\t\t} else {\n\t\t\t\t\tcclog.Debugf(\"failed to fetch '%s' from host '%s' (cluster: %s): %s\", query.Metric, query.Hostname, req.Cluster, err.Error())\n\t\t\t\t}\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tif req.WithStats {\n\t\t\t\tdata.AddStats()\n\t\t\t}\n\t\t\tif query.ScaleFactor != 0 {\n\t\t\t\tdata.ScaleBy(query.ScaleFactor)\n\t\t\t}\n\t\t\tif req.WithPadding {\n\t\t\t\tdata.PadDataWithNull(ms, req.From, req.To, query.Metric)\n\t\t\t}\n\t\t\tif !req.WithData {\n\t\t\t\tdata.Data = nil\n\t\t\t}\n\t\t\tres = append(res, data)\n\t\t}\n\t\tresponse.Results = append(response.Results, res)\n\t}\n\n\treturn &response, nil\n}\n","structuredPatch":[{"oldStart":280,"oldLines":7,"newStart":280,"newLines":7,"lines":["     for _, sel := range sels {","       data := APIMetricData{}"," ","-      data.Data, data.From, data.To, data.Resolution, err = ms.Read(sel, query.Metric, req.From, req.To, query.Resolution)","+      data.Data, data.From, data.To, data.Resolution, err = ms.Read(sel, query.Metric, req.From, req.To, query.Resolution, req.ResampleAlgo)","       if err != nil {","         // Skip Error If Just Missing Host or Metric, 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+{"parentUuid":"6b70921f-267f-4b4e-827c-9d4dc5e8e33f","isSidechain":false,"promptId":"1c46e1b2-ade5-44be-90d9-e93109c02833","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01F6EL8NR3AAeN3Lv3JXinrU","type":"tool_result","content":"   637→\t}\n   638→\n   639→\treq := APIQueryRequest{\n   640→\t\tCluster:   cluster,\n   641→\t\tQueries:   queries,\n   642→\t\tFrom:      from.Unix(),\n   643→\t\tTo:        to.Unix(),\n   644→\t\tWithStats: true,\n   645→\t\tWithData:  true,\n   646→\t}\n   647→\n   648→\tresBody, err := FetchData(req)\n   649→\tif err != nil {\n   650→\t\tcclog.Errorf(\"Error while fetching data : %s\", err.Error())\n   651→\t\treturn nil, err"}]},"uuid":"53ad7eaa-bf52-481c-b20f-11550252cbfe","timestamp":"2026-03-19T19:52:24.500Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/pkg/metricstore/query.go","content":"\t}\n\n\treq := APIQueryRequest{\n\t\tCluster:   cluster,\n\t\tQueries:   queries,\n\t\tFrom:      from.Unix(),\n\t\tTo:        to.Unix(),\n\t\tWithStats: true,\n\t\tWithData:  true,\n\t}\n\n\tresBody, err := FetchData(req)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while fetching data : %s\", err.Error())\n\t\treturn nil, err","numLines":15,"startLine":637,"totalLines":867}},"sourceToolAssistantUUID":"6b70921f-267f-4b4e-827c-9d4dc5e8e33f","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
+{"parentUuid":"53ad7eaa-bf52-481c-b20f-11550252cbfe","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01R1bop4dKbpBqEW65riT6Tx","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RiqqpKmwr3RMVi2PmPTZQk","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/tmp/cc-backend/pkg/metricstore/query.go","old_string":"\treq := APIQueryRequest{\n\t\tCluster:   cluster,\n\t\tQueries:   queries,\n\t\tFrom:      from.Unix(),\n\t\tTo:        to.Unix(),\n\t\tWithStats: true,\n\t\tWithData:  true,\n\t}\n\n\tresBody, err := FetchData(req)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while fetching data : %s\", err.Error())\n\t\treturn nil, err","new_string":"\treq := APIQueryRequest{\n\t\tCluster:      cluster,\n\t\tQueries:      queries,\n\t\tFrom:         from.Unix(),\n\t\tTo:           to.Unix(),\n\t\tWithStats:    true,\n\t\tWithData:     true,\n\t\tResampleAlgo: resampleAlgo,\n\t}\n\n\tresBody, err := FetchData(req)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while fetching data : %s\", err.Error())\n\t\treturn nil, err"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":306,"cache_read_input_tokens":97145,"output_tokens":354,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":306,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZD2GWo29NRU1tWmSirmM","type":"assistant","uuid":"2bb0d159-7e13-4961-b04e-0f9814b496be","timestamp":"2026-03-19T19:52:30.637Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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+{"parentUuid":"2bb0d159-7e13-4961-b04e-0f9814b496be","isSidechain":false,"promptId":"1c46e1b2-ade5-44be-90d9-e93109c02833","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RiqqpKmwr3RMVi2PmPTZQk","type":"tool_result","content":"The file /Users/jan/tmp/cc-backend/pkg/metricstore/query.go has been updated successfully."}]},"uuid":"1f29c6e4-58f4-4674-b93b-ded1543396e4","timestamp":"2026-03-19T19:52:30.659Z","toolUseResult":{"filePath":"/Users/jan/tmp/cc-backend/pkg/metricstore/query.go","oldString":"\treq := APIQueryRequest{\n\t\tCluster:   cluster,\n\t\tQueries:   queries,\n\t\tFrom:      from.Unix(),\n\t\tTo:        to.Unix(),\n\t\tWithStats: true,\n\t\tWithData:  true,\n\t}\n\n\tresBody, err := FetchData(req)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while fetching data : %s\", err.Error())\n\t\treturn nil, err","newString":"\treq := APIQueryRequest{\n\t\tCluster:      cluster,\n\t\tQueries:      queries,\n\t\tFrom:         from.Unix(),\n\t\tTo:           to.Unix(),\n\t\tWithStats:    true,\n\t\tWithData:     true,\n\t\tResampleAlgo: resampleAlgo,\n\t}\n\n\tresBody, err := FetchData(req)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while fetching data : %s\", err.Error())\n\t\treturn nil, err","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file implements high-level query functions for loading job metric data\n// with automatic scope transformation and aggregation.\n//\n// Key Concepts:\n//\n// Metric Scopes: Metrics are collected at different granularities (native scope):\n//   - HWThread: Per hardware thread\n//   - Core: Per CPU core\n//   - Socket: Per CPU socket\n//   - MemoryDomain: Per memory domain (NUMA)\n//   - Accelerator: Per GPU/accelerator\n//   - Node: Per compute node\n//\n// Scope Transformation: The buildQueries functions transform between native scope\n// and requested scope by:\n//   - Aggregating finer-grained data (e.g., HWThread → Core → Socket → Node)\n//   - Rejecting requests for finer granularity than available\n//   - Handling special cases (e.g., Accelerator metrics)\n//\n// Query Building: Constructs APIQuery structures with proper selectors (Type, TypeIds)\n// based on cluster topology and job resources.\npackage metricstore\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\ntype InternalMetricStore struct{}\n\nvar MetricStoreHandle *InternalMetricStore\n\n// HealthCheck delegates to the internal MemoryStore's HealthCheck.\nfunc (ccms *InternalMetricStore) HealthCheck(cluster string,\n\tnodes []string, metrics []string,\n) (map[string]HealthCheckResult, error) {\n\treturn GetMemoryStore().HealthCheck(cluster, nodes, metrics)\n}\n\n// TestLoadDataCallback allows tests to override LoadData behavior for testing purposes.\n// When set to a non-nil function, LoadData will call this function instead of the default implementation.\nvar TestLoadDataCallback func(job *schema.Job, metrics []string, scopes []schema.MetricScope, ctx context.Context, resolution int) (schema.JobData, error)\n\n// LoadData loads metric data for a specific job with automatic scope transformation.\n//\n// This is the primary function for retrieving job metric data. It handles:\n//   - Building queries with scope transformation via buildQueries\n//   - Fetching data from the metric store\n//   - Organizing results by metric and scope\n//   - Converting NaN statistics to 0 for JSON compatibility\n//   - Partial error handling (returns data for successful queries even if some fail)\n//\n// Parameters:\n//   - job: Job metadata including cluster, resources, and time range\n//   - metrics: List of metric names to load\n//   - scopes: Requested metric scopes (will be transformed to match native scopes)\n//   - ctx: Context for cancellation (currently unused but reserved for future use)\n//   - resolution: Data resolution in seconds (0 for native resolution)\n//\n// Returns:\n//   - JobData: Map of metric → scope → JobMetric with time-series data and statistics\n//   - Error: Returns error if query building or fetching fails, or partial error listing failed hosts\n//\n// Example:\n//\n//\tjobData, err := LoadData(job, []string{\"cpu_load\", \"mem_used\"}, []schema.MetricScope{schema.MetricScopeNode}, ctx, 60)\nfunc (ccms *InternalMetricStore) LoadData(\n\tjob *schema.Job,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tctx context.Context,\n\tresolution int,\n) (schema.JobData, error) {\n\tif TestLoadDataCallback != nil {\n\t\treturn TestLoadDataCallback(job, metrics, scopes, ctx, resolution)\n\t}\n\n\tqueries, assignedScope, err := buildQueries(job, metrics, scopes, int64(resolution))\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while building queries for jobId %d, Metrics %v, Scopes %v: %s\", job.JobID, metrics, scopes, err.Error())\n\t\treturn nil, err\n\t}\n\n\t// Verify assignment is correct - log any inconsistencies for debugging\n\tif len(queries) != len(assignedScope) {\n\t\tcclog.Errorf(\"Critical error: queries and assignedScope have different lengths after buildQueries: %d vs %d\",\n\t\t\tlen(queries), len(assignedScope))\n\t}\n\n\treq := APIQueryRequest{\n\t\tCluster:   job.Cluster,\n\t\tFrom:      job.StartTime,\n\t\tTo:        job.StartTime + int64(job.Duration),\n\t\tQueries:   queries,\n\t\tWithStats: true,\n\t\tWithData:  true,\n\t}\n\n\tresBody, err := FetchData(req)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while fetching data : %s\", err.Error())\n\t\treturn nil, err\n\t}\n\n\tvar errors []string\n\tjobData := make(schema.JobData)\n\n\t// Add safety check for potential index out of range errors\n\tif len(resBody.Results) != len(req.Queries) || len(assignedScope) != len(req.Queries) {\n\t\tcclog.Warnf(\"Mismatch in query results count: queries=%d, results=%d, assignedScope=%d\",\n\t\t\tlen(req.Queries), len(resBody.Results), len(assignedScope))\n\t\tif len(resBody.Results) > len(req.Queries) {\n\t\t\tresBody.Results = resBody.Results[:len(req.Queries)]\n\t\t}\n\t\tif len(assignedScope) > len(req.Queries) {\n\t\t\tassignedScope = assignedScope[:len(req.Queries)]\n\t\t}\n\t}\n\n\tfor i, row := range resBody.Results {\n\t\tquery := req.Queries[i]\n\t\tmetric := query.Metric\n\t\tscope := assignedScope[i]\n\t\tmc := archive.GetMetricConfig(job.Cluster, metric)\n\n\t\tif mc == nil {\n\t\t\tcclog.Warnf(\"Metric config not found for %s on cluster %s\", metric, job.Cluster)\n\t\t\tcontinue\n\t\t}\n\n\t\tif _, ok := jobData[metric]; !ok {\n\t\t\tjobData[metric] = make(map[schema.MetricScope]*schema.JobMetric)\n\t\t}\n\n\t\tres := mc.Timestep\n\t\tif len(row) > 0 {\n\t\t\tres = int(row[0].Resolution)\n\t\t}\n\n\t\tjobMetric, ok := jobData[metric][scope]\n\t\tif !ok {\n\t\t\tjobMetric = &schema.JobMetric{\n\t\t\t\tUnit:     mc.Unit,\n\t\t\t\tTimestep: res,\n\t\t\t\tSeries:   make([]schema.Series, 0),\n\t\t\t}\n\t\t\tjobData[metric][scope] = jobMetric\n\t\t}\n\n\t\tfor ndx, res := range row {\n\t\t\tif res.Error != nil {\n\t\t\t\t/* Build list for \"partial errors\", if any */\n\t\t\t\terrors = append(errors, fmt.Sprintf(\"failed to fetch '%s' from host '%s': %s\", query.Metric, query.Hostname, *res.Error))\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tid := ExtractTypeID(query.Type, query.TypeIds, ndx, query.Metric, query.Hostname)\n\n\t\t\tSanitizeStats(&res.Avg, &res.Min, &res.Max)\n\n\t\t\tjobMetric.Series = append(jobMetric.Series, schema.Series{\n\t\t\t\tHostname: query.Hostname,\n\t\t\t\tID:       id,\n\t\t\t\tStatistics: schema.MetricStatistics{\n\t\t\t\t\tAvg: float64(res.Avg),\n\t\t\t\t\tMin: float64(res.Min),\n\t\t\t\t\tMax: float64(res.Max),\n\t\t\t\t},\n\t\t\t\tData: res.Data,\n\t\t\t})\n\t\t}\n\n\t\t// So that one can later check len(jobData):\n\t\tif len(jobMetric.Series) == 0 {\n\t\t\tdelete(jobData[metric], scope)\n\t\t\tif len(jobData[metric]) == 0 {\n\t\t\t\tdelete(jobData, metric)\n\t\t\t}\n\t\t}\n\t}\n\n\tif len(errors) != 0 {\n\t\t/* Returns list for \"partial errors\" */\n\t\treturn jobData, fmt.Errorf(\"METRICDATA/INTERNAL-CCMS > Errors: %s\", strings.Join(errors, \", \"))\n\t}\n\treturn jobData, nil\n}\n\n// buildQueries constructs APIQuery structures with automatic scope transformation for a job.\n//\n// This function implements the core scope transformation logic, handling all combinations of\n// native metric scopes and requested scopes. It uses the cluster topology to determine which\n// hardware IDs to include in each query.\n//\n// Scope Transformation Rules:\n//   - If native scope >= requested scope: Aggregates data (Aggregate=true in APIQuery)\n//   - If native scope < requested scope: Returns error (cannot increase granularity)\n//   - Special handling for Accelerator scope (independent of CPU hierarchy)\n//\n// The function generates one or more APIQuery per (metric, scope, host) combination:\n//   - For non-aggregated queries: One query with all relevant IDs\n//   - For aggregated queries: May generate multiple queries (e.g., one per socket/core)\n//\n// Parameters:\n//   - job: Job metadata including cluster, subcluster, and resource allocation\n//   - metrics: List of metrics to query\n//   - scopes: Requested scopes for each metric\n//   - resolution: Data resolution in seconds\n//\n// Returns:\n//   - []APIQuery: List of queries to execute\n//   - []schema.MetricScope: Assigned scope for each query (after transformation)\n//   - error: Returns error if topology lookup fails or unhandled scope combination encountered\nfunc buildQueries(\n\tjob *schema.Job,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tresolution int64,\n) ([]APIQuery, []schema.MetricScope, error) {\n\tif len(job.Resources) == 0 {\n\t\treturn nil, nil, fmt.Errorf(\"METRICDATA/INTERNAL-CCMS > no resources allocated for job %d\", job.JobID)\n\t}\n\n\tqueries := make([]APIQuery, 0, len(metrics)*len(scopes)*len(job.Resources))\n\tassignedScope := make([]schema.MetricScope, 0, len(metrics)*len(scopes)*len(job.Resources))\n\n\tsubcluster, scerr := archive.GetSubCluster(job.Cluster, job.SubCluster)\n\tif scerr != nil {\n\t\treturn nil, nil, scerr\n\t}\n\ttopology := subcluster.Topology\n\n\tfor _, metric := range metrics {\n\t\tmc := archive.GetMetricConfig(job.Cluster, metric)\n\t\tif mc == nil {\n\t\t\tcclog.Warnf(\"metric '%s' is not specified for cluster '%s'\", metric, job.Cluster)\n\t\t\tcontinue\n\t\t}\n\n\t\t// Skip if metric is removed for subcluster\n\t\tif len(mc.SubClusters) != 0 && IsMetricRemovedForSubCluster(mc, job.SubCluster) {\n\t\t\tcontinue\n\t\t}\n\n\t\t// Avoid duplicates...\n\t\thandledScopes := make([]schema.MetricScope, 0, 3)\n\n\tscopesLoop:\n\t\tfor _, requestedScope := range scopes {\n\t\t\tnativeScope := mc.Scope\n\t\t\tif nativeScope == schema.MetricScopeAccelerator && job.NumAcc == 0 {\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tscope := nativeScope.Max(requestedScope)\n\t\t\tfor _, s := range handledScopes {\n\t\t\t\tif scope == s {\n\t\t\t\t\tcontinue scopesLoop\n\t\t\t\t}\n\t\t\t}\n\t\t\thandledScopes = append(handledScopes, scope)\n\n\t\t\tfor _, host := range job.Resources {\n\t\t\t\thwthreads := host.HWThreads\n\t\t\t\tif hwthreads == nil {\n\t\t\t\t\thwthreads = topology.Node\n\t\t\t\t}\n\n\t\t\t\tscopeResults, ok := BuildScopeQueries(\n\t\t\t\t\tnativeScope, requestedScope,\n\t\t\t\t\tmetric, host.Hostname,\n\t\t\t\t\t&topology, hwthreads, host.Accelerators,\n\t\t\t\t)\n\n\t\t\t\tif !ok {\n\t\t\t\t\treturn nil, nil, fmt.Errorf(\"METRICDATA/INTERNAL-CCMS > unsupported scope transformation: native-scope=%s, requested-scope=%s\", nativeScope, requestedScope)\n\t\t\t\t}\n\n\t\t\t\tfor _, sr := range scopeResults {\n\t\t\t\t\tqueries = append(queries, APIQuery{\n\t\t\t\t\t\tMetric:     sr.Metric,\n\t\t\t\t\t\tHostname:   sr.Hostname,\n\t\t\t\t\t\tAggregate:  sr.Aggregate,\n\t\t\t\t\t\tType:       sr.Type,\n\t\t\t\t\t\tTypeIds:    sr.TypeIds,\n\t\t\t\t\t\tResolution: resolution,\n\t\t\t\t\t})\n\t\t\t\t\tassignedScope = append(assignedScope, sr.Scope)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\treturn queries, assignedScope, nil\n}\n\n// LoadStats loads only metric statistics (avg/min/max) for a job at node scope.\n//\n// This is an optimized version of LoadData that fetches only statistics without\n// time-series data, reducing bandwidth and memory usage. Always queries at node scope.\n//\n// Parameters:\n//   - job: Job metadata\n//   - metrics: List of metric names\n//   - ctx: Context (currently unused)\n//\n// Returns:\n//   - Map of metric → hostname → statistics\n//   - Error on query building or fetching failure\nfunc (ccms *InternalMetricStore) LoadStats(\n\tjob *schema.Job,\n\tmetrics []string,\n\tctx context.Context,\n) (map[string]map[string]schema.MetricStatistics, error) {\n\t// TODO(#166): Add scope parameter for analysis view accelerator normalization\n\tqueries, _, err := buildQueries(job, metrics, []schema.MetricScope{schema.MetricScopeNode}, 0)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while building queries for jobId %d, Metrics %v: %s\", job.JobID, metrics, err.Error())\n\t\treturn nil, err\n\t}\n\n\treq := APIQueryRequest{\n\t\tCluster:   job.Cluster,\n\t\tFrom:      job.StartTime,\n\t\tTo:        job.StartTime + int64(job.Duration),\n\t\tQueries:   queries,\n\t\tWithStats: true,\n\t\tWithData:  false,\n\t}\n\n\tresBody, err := FetchData(req)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while fetching data : %s\", err.Error())\n\t\treturn nil, err\n\t}\n\n\tstats := make(map[string]map[string]schema.MetricStatistics, len(metrics))\n\tfor i, res := range resBody.Results {\n\t\tif i >= len(req.Queries) {\n\t\t\tcclog.Warnf(\"LoadStats: result index %d exceeds queries length %d\", i, len(req.Queries))\n\t\t\tbreak\n\t\t}\n\t\tif len(res) == 0 {\n\t\t\t// No Data Found For Metric, Logged in FetchData to Warn\n\t\t\tcontinue\n\t\t}\n\t\tquery := req.Queries[i]\n\t\tmetric := query.Metric\n\t\tdata := res[0]\n\t\tif data.Error != nil {\n\t\t\tcclog.Warnf(\"fetching %s for node %s failed: %s\", metric, query.Hostname, *data.Error)\n\t\t\tcontinue\n\t\t}\n\n\t\tmetricdata, ok := stats[metric]\n\t\tif !ok {\n\t\t\tmetricdata = make(map[string]schema.MetricStatistics, job.NumNodes)\n\t\t\tstats[metric] = metricdata\n\t\t}\n\n\t\tif data.Avg.IsNaN() || data.Min.IsNaN() || data.Max.IsNaN() {\n\t\t\tcclog.Warnf(\"fetching %s for node %s failed: one of avg/min/max is NaN\", metric, query.Hostname)\n\t\t\tcontinue\n\t\t}\n\n\t\tmetricdata[query.Hostname] = schema.MetricStatistics{\n\t\t\tAvg: float64(data.Avg),\n\t\t\tMin: float64(data.Min),\n\t\t\tMax: float64(data.Max),\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// LoadScopedStats loads metric statistics for a job with scope-aware grouping.\n//\n// Similar to LoadStats but supports multiple scopes and returns statistics grouped\n// by scope with hardware IDs (e.g., per-core, per-socket statistics).\n//\n// Parameters:\n//   - job: Job metadata\n//   - metrics: List of metric names\n//   - scopes: Requested metric scopes\n//   - ctx: Context (currently unused)\n//\n// Returns:\n//   - ScopedJobStats: Map of metric → scope → []ScopedStats (with hostname and ID)\n//   - Error or partial error listing failed queries\nfunc (ccms *InternalMetricStore) LoadScopedStats(\n\tjob *schema.Job,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tctx context.Context,\n) (schema.ScopedJobStats, error) {\n\tqueries, assignedScope, err := buildQueries(job, metrics, scopes, 0)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while building queries for jobId %d, Metrics %v, Scopes %v: %s\", job.JobID, metrics, scopes, err.Error())\n\t\treturn nil, err\n\t}\n\n\treq := APIQueryRequest{\n\t\tCluster:   job.Cluster,\n\t\tFrom:      job.StartTime,\n\t\tTo:        job.StartTime + int64(job.Duration),\n\t\tQueries:   queries,\n\t\tWithStats: true,\n\t\tWithData:  false,\n\t}\n\n\tresBody, err := FetchData(req)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while fetching data : %s\", err.Error())\n\t\treturn nil, err\n\t}\n\n\tvar errors []string\n\tscopedJobStats := make(schema.ScopedJobStats)\n\n\tfor i, row := range resBody.Results {\n\t\tif len(row) == 0 {\n\t\t\t// No Data Found For Metric, Logged in FetchData to Warn\n\t\t\tcontinue\n\t\t}\n\t\tquery := req.Queries[i]\n\t\tmetric := query.Metric\n\t\tscope := assignedScope[i]\n\n\t\tif _, ok := scopedJobStats[metric]; !ok {\n\t\t\tscopedJobStats[metric] = make(map[schema.MetricScope][]*schema.ScopedStats)\n\t\t}\n\n\t\tif _, ok := scopedJobStats[metric][scope]; !ok {\n\t\t\tscopedJobStats[metric][scope] = make([]*schema.ScopedStats, 0)\n\t\t}\n\n\t\tfor ndx, res := range row {\n\t\t\tif res.Error != nil {\n\t\t\t\t/* Build list for \"partial errors\", if any */\n\t\t\t\terrors = append(errors, fmt.Sprintf(\"failed to fetch '%s' from host '%s': %s\", query.Metric, query.Hostname, *res.Error))\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tid := ExtractTypeID(query.Type, query.TypeIds, ndx, query.Metric, query.Hostname)\n\n\t\t\tSanitizeStats(&res.Avg, &res.Min, &res.Max)\n\n\t\t\tscopedJobStats[metric][scope] = append(scopedJobStats[metric][scope], &schema.ScopedStats{\n\t\t\t\tHostname: query.Hostname,\n\t\t\t\tID:       id,\n\t\t\t\tData: &schema.MetricStatistics{\n\t\t\t\t\tAvg: float64(res.Avg),\n\t\t\t\t\tMin: float64(res.Min),\n\t\t\t\t\tMax: float64(res.Max),\n\t\t\t\t},\n\t\t\t})\n\t\t}\n\n\t\t// So that one can later check len(scopedJobStats[metric][scope]): Remove from map if empty\n\t\tif len(scopedJobStats[metric][scope]) == 0 {\n\t\t\tdelete(scopedJobStats[metric], scope)\n\t\t\tif len(scopedJobStats[metric]) == 0 {\n\t\t\t\tdelete(scopedJobStats, metric)\n\t\t\t}\n\t\t}\n\t}\n\n\tif len(errors) != 0 {\n\t\t/* Returns list for \"partial errors\" */\n\t\treturn scopedJobStats, fmt.Errorf(\"METRICDATA/INTERNAL-CCMS > Errors: %s\", strings.Join(errors, \", \"))\n\t}\n\treturn scopedJobStats, nil\n}\n\n// LoadNodeData loads metric data for specific nodes in a cluster over a time range.\n//\n// Unlike LoadData which operates on job resources, this function queries arbitrary nodes\n// directly. Useful for system monitoring and node status views.\n//\n// Parameters:\n//   - cluster: Cluster name\n//   - metrics: List of metric names\n//   - nodes: List of node hostnames (nil = all nodes in cluster via ForAllNodes)\n//   - scopes: Requested metric scopes (currently unused - always node scope)\n//   - from, to: Time range\n//   - ctx: Context (currently unused)\n//\n// Returns:\n//   - Map of hostname → metric → []JobMetric\n//   - Error or partial error listing failed queries\nfunc (ccms *InternalMetricStore) LoadNodeData(\n\tcluster string,\n\tmetrics, nodes []string,\n\tscopes []schema.MetricScope,\n\tfrom, to time.Time,\n\tctx context.Context,\n) (map[string]map[string][]*schema.JobMetric, error) {\n\treq := APIQueryRequest{\n\t\tCluster:   cluster,\n\t\tFrom:      from.Unix(),\n\t\tTo:        to.Unix(),\n\t\tWithStats: true,\n\t\tWithData:  true,\n\t}\n\n\tif nodes == nil {\n\t\treq.ForAllNodes = append(req.ForAllNodes, metrics...)\n\t} else {\n\t\tfor _, node := range nodes {\n\t\t\tfor _, metric := range metrics {\n\t\t\t\treq.Queries = append(req.Queries, APIQuery{\n\t\t\t\t\tHostname:   node,\n\t\t\t\t\tMetric:     metric,\n\t\t\t\t\tResolution: 0, // Default for Node Queries: Will return metric $Timestep Resolution\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\t}\n\n\tresBody, err := FetchData(req)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while fetching data : %s\", err.Error())\n\t\treturn nil, err\n\t}\n\n\tvar errors []string\n\tdata := make(map[string]map[string][]*schema.JobMetric)\n\tfor i, res := range resBody.Results {\n\t\tif len(res) == 0 {\n\t\t\t// No Data Found For Metric, Logged in FetchData to Warn\n\t\t\tcontinue\n\t\t}\n\n\t\tvar query APIQuery\n\t\tif resBody.Queries != nil {\n\t\t\tquery = resBody.Queries[i]\n\t\t} else {\n\t\t\tquery = req.Queries[i]\n\t\t}\n\n\t\tmetric := query.Metric\n\t\tqdata := res[0]\n\t\tif qdata.Error != nil {\n\t\t\terrors = append(errors, fmt.Sprintf(\"fetching %s for node %s failed: %s\", metric, query.Hostname, *qdata.Error))\n\t\t\tcontinue\n\t\t}\n\n\t\tmc := archive.GetMetricConfig(cluster, metric)\n\t\tif mc == nil {\n\t\t\tcclog.Warnf(\"Metric config not found for %s on cluster %s\", metric, cluster)\n\t\t\tcontinue\n\t\t}\n\n\t\tSanitizeStats(&qdata.Avg, &qdata.Min, &qdata.Max)\n\n\t\thostdata, ok := data[query.Hostname]\n\t\tif !ok {\n\t\t\thostdata = make(map[string][]*schema.JobMetric)\n\t\t\tdata[query.Hostname] = hostdata\n\t\t}\n\n\t\thostdata[metric] = append(hostdata[metric], &schema.JobMetric{\n\t\t\tUnit:     mc.Unit,\n\t\t\tTimestep: mc.Timestep,\n\t\t\tSeries: []schema.Series{\n\t\t\t\t{\n\t\t\t\t\tHostname: query.Hostname,\n\t\t\t\t\tData:     qdata.Data,\n\t\t\t\t\tStatistics: schema.MetricStatistics{\n\t\t\t\t\t\tAvg: float64(qdata.Avg),\n\t\t\t\t\t\tMin: float64(qdata.Min),\n\t\t\t\t\t\tMax: float64(qdata.Max),\n\t\t\t\t\t},\n\t\t\t\t},\n\t\t\t},\n\t\t})\n\t}\n\n\tif len(errors) != 0 {\n\t\t/* Returns list of \"partial errors\" */\n\t\treturn data, fmt.Errorf(\"METRICDATA/INTERNAL-CCMS > Errors: %s\", strings.Join(errors, \", \"))\n\t}\n\n\treturn data, nil\n}\n\n// LoadNodeListData loads metric data for a list of nodes with full scope transformation support.\n//\n// This is the most flexible node data loading function, supporting arbitrary scopes and\n// resolution. Uses buildNodeQueries for proper scope transformation based on topology.\n//\n// Parameters:\n//   - cluster: Cluster name\n//   - subCluster: SubCluster name (empty string to infer from node names)\n//   - nodes: List of node hostnames\n//   - metrics: List of metric names\n//   - scopes: Requested metric scopes\n//   - resolution: Data resolution in seconds\n//   - from, to: Time range\n//   - ctx: Context (currently unused)\n//\n// Returns:\n//   - Map of hostname → JobData (metric → scope → JobMetric)\n//   - Error or partial error listing failed queries\nfunc (ccms *InternalMetricStore) LoadNodeListData(\n\tcluster, subCluster string,\n\tnodes []string,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tresolution int,\n\tfrom, to time.Time,\n\tctx context.Context,\n\tresampleAlgo string,\n) (map[string]schema.JobData, error) {\n\t// Note: Order of node data is not guaranteed after this point\n\tqueries, assignedScope, err := buildNodeQueries(cluster, subCluster, nodes, metrics, scopes, int64(resolution))\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while building node queries for Cluster %s, SubCLuster %s, Metrics %v, Scopes %v: %s\", cluster, subCluster, metrics, scopes, err.Error())\n\t\treturn nil, err\n\t}\n\n\t// Verify assignment is correct - log any inconsistencies for debugging\n\tif len(queries) != len(assignedScope) {\n\t\tcclog.Errorf(\"Critical error: queries and assignedScope have different lengths after buildNodeQueries: %d vs %d\",\n\t\t\tlen(queries), len(assignedScope))\n\t}\n\n\treq := APIQueryRequest{\n\t\tCluster:   cluster,\n\t\tQueries:   queries,\n\t\tFrom:      from.Unix(),\n\t\tTo:        to.Unix(),\n\t\tWithStats: true,\n\t\tWithData:  true,\n\t}\n\n\tresBody, err := FetchData(req)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while fetching data : %s\", err.Error())\n\t\treturn nil, err\n\t}\n\n\tvar errors []string\n\tdata := make(map[string]schema.JobData)\n\n\t// Add safety check for index out of range issues\n\tif len(resBody.Results) != len(req.Queries) || len(assignedScope) != len(req.Queries) {\n\t\tcclog.Warnf(\"Mismatch in query results count: queries=%d, results=%d, assignedScope=%d\",\n\t\t\tlen(req.Queries), len(resBody.Results), len(assignedScope))\n\t\tif len(resBody.Results) > len(req.Queries) {\n\t\t\tresBody.Results = resBody.Results[:len(req.Queries)]\n\t\t}\n\t\tif len(assignedScope) > len(req.Queries) {\n\t\t\tassignedScope = assignedScope[:len(req.Queries)]\n\t\t}\n\t}\n\n\tfor i, row := range resBody.Results {\n\t\tvar query APIQuery\n\t\tif resBody.Queries != nil {\n\t\t\tif i < len(resBody.Queries) {\n\t\t\t\tquery = resBody.Queries[i]\n\t\t\t} else {\n\t\t\t\tcclog.Warnf(\"Index out of range prevented for resBody.Queries: i=%d, len=%d\",\n\t\t\t\t\ti, len(resBody.Queries))\n\t\t\t\tcontinue\n\t\t\t}\n\t\t} else {\n\t\t\tquery = req.Queries[i]\n\t\t}\n\n\t\tmetric := query.Metric\n\t\tscope := assignedScope[i]\n\t\tmc := archive.GetMetricConfig(cluster, metric)\n\t\tif mc == nil {\n\t\t\tcclog.Warnf(\"Metric config not found for %s on cluster %s\", metric, cluster)\n\t\t\tcontinue\n\t\t}\n\n\t\tres := mc.Timestep\n\t\tif len(row) > 0 {\n\t\t\tres = int(row[0].Resolution)\n\t\t}\n\n\t\t// Init Nested Map Data Structures If Not Found\n\t\thostData, ok := data[query.Hostname]\n\t\tif !ok {\n\t\t\thostData = make(schema.JobData)\n\t\t\tdata[query.Hostname] = hostData\n\t\t}\n\n\t\tmetricData, ok := hostData[metric]\n\t\tif !ok {\n\t\t\tmetricData = make(map[schema.MetricScope]*schema.JobMetric)\n\t\t\tdata[query.Hostname][metric] = metricData\n\t\t}\n\n\t\tscopeData, ok := metricData[scope]\n\t\tif !ok {\n\t\t\tscopeData = &schema.JobMetric{\n\t\t\t\tUnit:     mc.Unit,\n\t\t\t\tTimestep: res,\n\t\t\t\tSeries:   make([]schema.Series, 0),\n\t\t\t}\n\t\t\tdata[query.Hostname][metric][scope] = scopeData\n\t\t}\n\n\t\tfor ndx, res := range row {\n\t\t\tif res.Error != nil {\n\t\t\t\t/* Build list for \"partial errors\", if any */\n\t\t\t\terrors = append(errors, fmt.Sprintf(\"failed to fetch '%s' from host '%s': %s\", query.Metric, query.Hostname, *res.Error))\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tid := ExtractTypeID(query.Type, query.TypeIds, ndx, query.Metric, query.Hostname)\n\n\t\t\tSanitizeStats(&res.Avg, &res.Min, &res.Max)\n\n\t\t\tscopeData.Series = append(scopeData.Series, schema.Series{\n\t\t\t\tHostname: query.Hostname,\n\t\t\t\tID:       id,\n\t\t\t\tStatistics: schema.MetricStatistics{\n\t\t\t\t\tAvg: float64(res.Avg),\n\t\t\t\t\tMin: float64(res.Min),\n\t\t\t\t\tMax: float64(res.Max),\n\t\t\t\t},\n\t\t\t\tData: res.Data,\n\t\t\t})\n\t\t}\n\t}\n\n\tif len(errors) != 0 {\n\t\t/* Returns list of \"partial errors\" */\n\t\treturn data, fmt.Errorf(\"METRICDATA/INTERNAL-CCMS > Errors: %s\", strings.Join(errors, \", \"))\n\t}\n\n\treturn data, nil\n}\n\n// buildNodeQueries constructs APIQuery structures for node-based queries with scope transformation.\n//\n// Similar to buildQueries but operates on node lists rather than job resources.\n// Supports dynamic subcluster lookup when subCluster parameter is empty.\n//\n// Parameters:\n//   - cluster: Cluster name\n//   - subCluster: SubCluster name (empty = infer from node hostnames)\n//   - nodes: List of node hostnames\n//   - metrics: List of metric names\n//   - scopes: Requested metric scopes\n//   - resolution: Data resolution in seconds\n//\n// Returns:\n//   - []APIQuery: List of queries to execute\n//   - []schema.MetricScope: Assigned scope for each query\n//   - error: Returns error if topology lookup fails or unhandled scope combination\nfunc buildNodeQueries(\n\tcluster string,\n\tsubCluster string,\n\tnodes []string,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tresolution int64,\n) ([]APIQuery, []schema.MetricScope, error) {\n\tqueries := make([]APIQuery, 0, len(metrics)*len(scopes)*len(nodes))\n\tassignedScope := make([]schema.MetricScope, 0, len(metrics)*len(scopes)*len(nodes))\n\n\t// Get Topol before loop if subCluster given\n\tvar subClusterTopol *schema.SubCluster\n\tvar scterr error\n\tif subCluster != \"\" {\n\t\tsubClusterTopol, scterr = archive.GetSubCluster(cluster, subCluster)\n\t\tif scterr != nil {\n\t\t\tcclog.Errorf(\"could not load cluster %s subCluster %s topology: %s\", cluster, subCluster, scterr.Error())\n\t\t\treturn nil, nil, scterr\n\t\t}\n\t}\n\n\tfor _, metric := range metrics {\n\t\tmc := archive.GetMetricConfig(cluster, metric)\n\t\tif mc == nil {\n\t\t\tcclog.Warnf(\"metric '%s' is not specified for cluster '%s'\", metric, cluster)\n\t\t\tcontinue\n\t\t}\n\n\t\t// Skip if metric is removed for subcluster\n\t\tif mc.SubClusters != nil && IsMetricRemovedForSubCluster(mc, subCluster) {\n\t\t\tcontinue\n\t\t}\n\n\t\t// Avoid duplicates...\n\t\thandledScopes := make([]schema.MetricScope, 0, 3)\n\n\tnodeScopesLoop:\n\t\tfor _, requestedScope := range scopes {\n\t\t\tnativeScope := mc.Scope\n\n\t\t\tscope := nativeScope.Max(requestedScope)\n\t\t\tfor _, s := range handledScopes {\n\t\t\t\tif scope == s {\n\t\t\t\t\tcontinue nodeScopesLoop\n\t\t\t\t}\n\t\t\t}\n\t\t\thandledScopes = append(handledScopes, scope)\n\n\t\t\tfor _, hostname := range nodes {\n\n\t\t\t\t// If no subCluster given, get it by node\n\t\t\t\tif subCluster == \"\" {\n\t\t\t\t\tsubClusterName, scnerr := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\t\t\tif scnerr != nil {\n\t\t\t\t\t\treturn nil, nil, scnerr\n\t\t\t\t\t}\n\t\t\t\t\tsubClusterTopol, scterr = archive.GetSubCluster(cluster, subClusterName)\n\t\t\t\t\tif scterr != nil {\n\t\t\t\t\t\treturn nil, nil, scterr\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\t// Always full node hwthread id list, no partial queries expected\n\t\t\t\ttopology := subClusterTopol.Topology\n\t\t\t\tacceleratorIds := topology.GetAcceleratorIDs()\n\n\t\t\t\t// Moved check here if metric matches hardware specs\n\t\t\t\tif nativeScope == schema.MetricScopeAccelerator && len(acceleratorIds) == 0 {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tscopeResults, ok := BuildScopeQueries(\n\t\t\t\t\tnativeScope, requestedScope,\n\t\t\t\t\tmetric, hostname,\n\t\t\t\t\t&topology, topology.Node, acceleratorIds,\n\t\t\t\t)\n\n\t\t\t\tif !ok {\n\t\t\t\t\treturn nil, nil, fmt.Errorf(\"METRICDATA/INTERNAL-CCMS > unsupported scope transformation: native-scope=%s, requested-scope=%s\", nativeScope, requestedScope)\n\t\t\t\t}\n\n\t\t\t\tfor _, sr := range scopeResults {\n\t\t\t\t\tqueries = append(queries, APIQuery{\n\t\t\t\t\t\tMetric:     sr.Metric,\n\t\t\t\t\t\tHostname:   sr.Hostname,\n\t\t\t\t\t\tAggregate:  sr.Aggregate,\n\t\t\t\t\t\tType:       sr.Type,\n\t\t\t\t\t\tTypeIds:    sr.TypeIds,\n\t\t\t\t\t\tResolution: resolution,\n\t\t\t\t\t})\n\t\t\t\t\tassignedScope = append(assignedScope, sr.Scope)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\treturn queries, assignedScope, nil\n}\n","structuredPatch":[{"oldStart":637,"oldLines":12,"newStart":637,"newLines":13,"lines":["   }"," ","   req := APIQueryRequest{","-    Cluster:   cluster,","-    Queries:   queries,","-    From:      from.Unix(),","-    To:        to.Unix(),","-    WithStats: true,","-    WithData:  true,","+    Cluster:      cluster,","+    Queries:      queries,","+    From:         from.Unix(),","+    To:           to.Unix(),","+    WithStats:    true,","+    WithData:     true,","+    ResampleAlgo: resampleAlgo,","   }"," ","   resBody, err := FetchData(req)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"2bb0d159-7e13-4961-b04e-0f9814b496be","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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This allows processing partial results\n// when some nodes or metrics are temporarily unavailable.\n//\n// # API Versioning\n//\n// The client uses cc-metric-store API v2, which includes support for:\n//   - Data resampling for bandwidth optimization\n//   - Multi-scope queries in a single request\n//   - Aggregation across hardware topology levels\npackage metricstoreclient\n\nimport (\n\t\"bufio\"\n\t\"bytes\"\n\t\"context\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"net/http\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tms \"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// CCMetricStore is the HTTP client for communicating with cc-metric-store.\n// It manages connection details, authentication, and provides methods for querying metrics.\ntype CCMetricStore struct {\n\tclient        http.Client                 // HTTP client with 10-second timeout\n\tjwt           string                      // JWT Bearer token for authentication\n\turl           string                      // Base URL of cc-metric-store instance\n\tqueryEndpoint string                      // Full URL to query API endpoint\n\ttopologyCache map[string]*schema.Topology // cluster -> topology cache\n}\n\n// APIQueryRequest represents a request to the cc-metric-store query API.\n// It supports both explicit queries and \"for-all-nodes\" bulk queries.\ntype APIQueryRequest struct {\n\tCluster     string     `json:\"cluster\"`       // Target cluster name\n\tQueries     []APIQuery `json:\"queries\"`       // Explicit list of metric queries\n\tForAllNodes []string   `json:\"for-all-nodes\"` // Metrics to query for all nodes\n\tFrom        int64      `json:\"from\"`          // Start time (Unix timestamp)\n\tTo          int64      `json:\"to\"`            // End time (Unix timestamp)\n\tWithStats   bool       `json:\"with-stats\"`    // Include min/avg/max statistics\n\tWithData    bool       `json:\"with-data\"`     // Include time series data points\n}\n\n// APIQuery specifies a single metric query with optional scope filtering.\n// Type and TypeIds define the hardware scope (core, socket, accelerator, etc.).\ntype APIQuery struct {\n\tType       *string  `json:\"type,omitempty\"`        // Scope type (e.g., \"core\", \"socket\")\n\tSubType    *string  `json:\"subtype,omitempty\"`     // Sub-scope type (reserved for future use)\n\tMetric     string   `json:\"metric\"`                // Metric name\n\tHostname   string   `json:\"host\"`                  // Target hostname\n\tResolution int      `json:\"resolution\"`            // Data resolution in seconds (0 = native)\n\tTypeIds    []string `json:\"type-ids,omitempty\"`    // IDs for the scope type (e.g., core IDs)\n\tSubTypeIds []string `json:\"subtype-ids,omitempty\"` // IDs for sub-scope (reserved)\n\tAggregate  bool     `json:\"aggreg\"`                // Aggregate across TypeIds\n}\n\n// APIQueryResponse contains the results from a cc-metric-store query.\n// Results align with the Queries slice by index.\ntype APIQueryResponse struct {\n\tQueries []APIQuery        `json:\"queries,omitempty\"` // Echoed queries (for bulk requests)\n\tResults [][]APIMetricData `json:\"results\"`           // Result data, indexed by query\n}\n\n// APIMetricData represents time series data and statistics for a single metric series.\n// Error is set if this particular series failed to load.\ntype APIMetricData struct {\n\tError      *string        `json:\"error\"`      // Error message if query failed\n\tData       []schema.Float `json:\"data\"`       // Time series data points\n\tFrom       int64          `json:\"from\"`       // Actual start time of data\n\tTo         int64          `json:\"to\"`         // Actual end time of data\n\tResolution int            `json:\"resolution\"` // Actual resolution of data in seconds\n\tAvg        schema.Float   `json:\"avg\"`        // Average value across time range\n\tMin        schema.Float   `json:\"min\"`        // Minimum value in time range\n\tMax        schema.Float   `json:\"max\"`        // Maximum value in time range\n}\n\n// NewCCMetricStore creates and initializes a new (external) CCMetricStore client.\n// The url parameter should include the protocol and port (e.g., \"http://localhost:8080\").\n// The token parameter is a JWT used for Bearer authentication; pass empty string if auth is disabled.\nfunc NewCCMetricStore(url string, token string) *CCMetricStore {\n\treturn &CCMetricStore{\n\t\turl:           url,\n\t\tqueryEndpoint: fmt.Sprintf(\"%s/api/query\", url),\n\t\tjwt:           token,\n\t\tclient: http.Client{\n\t\t\tTimeout: 10 * time.Second,\n\t\t},\n\t\ttopologyCache: make(map[string]*schema.Topology),\n\t}\n}\n\n// doRequest executes an HTTP POST request to the cc-metric-store query API.\n// It handles JSON encoding/decoding, authentication, and API versioning.\n// The request body is automatically closed to prevent resource leaks.\nfunc (ccms *CCMetricStore) doRequest(\n\tctx context.Context,\n\tbody *APIQueryRequest,\n) (*APIQueryResponse, error) {\n\tbuf := &bytes.Buffer{}\n\tif err := json.NewEncoder(buf).Encode(body); err != nil {\n\t\tcclog.Errorf(\"Error while encoding request body: %s\", err.Error())\n\t\treturn nil, err\n\t}\n\n\treq, err := http.NewRequestWithContext(ctx, http.MethodGet, ccms.queryEndpoint, buf)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while building request body: %s\", err.Error())\n\t\treturn nil, err\n\t}\n\tif ccms.jwt != \"\" {\n\t\treq.Header.Add(\"Authorization\", fmt.Sprintf(\"Bearer %s\", ccms.jwt))\n\t}\n\n\t// versioning the cc-metric-store query API.\n\t// v2 = data with resampling\n\t// v1 = data without resampling\n\tq := req.URL.Query()\n\tq.Add(\"version\", \"v2\")\n\treq.URL.RawQuery = q.Encode()\n\n\tres, err := ccms.client.Do(req)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while performing request: %s\", err.Error())\n\t\treturn nil, err\n\t}\n\tdefer res.Body.Close()\n\n\tif res.StatusCode != http.StatusOK {\n\t\treturn nil, fmt.Errorf(\"'%s': HTTP Status: %s\", ccms.queryEndpoint, res.Status)\n\t}\n\n\tvar resBody APIQueryResponse\n\tif err := json.NewDecoder(bufio.NewReader(res.Body)).Decode(&resBody); err != nil {\n\t\tcclog.Errorf(\"Error while decoding result body: %s\", err.Error())\n\t\treturn nil, err\n\t}\n\n\treturn &resBody, nil\n}\n\n// getTopology returns the topology for a given cluster and subcluster, caching it if not already present\nfunc (ccms *CCMetricStore) getTopology(cluster, subCluster string) (*schema.Topology, error) {\n\tcacheKey := fmt.Sprintf(\"%s:%s\", cluster, subCluster)\n\tif topology, ok := ccms.topologyCache[cacheKey]; ok {\n\t\treturn topology, nil\n\t}\n\n\tsubcluster, err := archive.GetSubCluster(cluster, subCluster)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tccms.topologyCache[cacheKey] = &subcluster.Topology\n\treturn &subcluster.Topology, nil\n}\n\n// getTopologyByNode returns the topology for a given cluster and node, caching it if not already present\nfunc (ccms *CCMetricStore) getTopologyByNode(cluster, node string) (*schema.Topology, error) {\n\tsubCluster, err := archive.GetSubClusterByNode(cluster, node)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn ccms.getTopology(cluster, subCluster)\n}\n\n// LoadData retrieves time series data and statistics for the specified job and metrics.\n// It queries data for the job's time range and resources, handling scope transformations automatically.\n//\n// Parameters:\n//   - job: Job metadata including cluster, time range, and allocated resources\n//   - metrics: List of metric names to retrieve\n//   - scopes: Requested metric scopes (node, socket, core, etc.)\n//   - ctx: Context for cancellation and timeouts\n//   - resolution: Data resolution in seconds (0 for native resolution)\n//\n// Returns JobData organized as: metric -> scope -> series list.\n// Supports partial errors: returns available data even if some queries fail.\nfunc (ccms *CCMetricStore) LoadData(\n\tjob *schema.Job,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tctx context.Context,\n\tresolution int,\n) (schema.JobData, error) {\n\tqueries, assignedScope, err := ccms.buildQueries(job, metrics, scopes, resolution)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while building queries for jobId %d, Metrics %v, Scopes %v: %s\", job.JobID, metrics, scopes, err.Error())\n\t\treturn nil, err\n\t}\n\n\t// Verify assignment is correct - log any inconsistencies for debugging\n\tif len(queries) != len(assignedScope) {\n\t\tcclog.Errorf(\"Critical error: queries and assignedScope have different lengths after buildQueries: %d vs %d\",\n\t\t\tlen(queries), len(assignedScope))\n\t}\n\n\treq := APIQueryRequest{\n\t\tCluster:   job.Cluster,\n\t\tFrom:      job.StartTime,\n\t\tTo:        job.StartTime + int64(job.Duration),\n\t\tQueries:   queries,\n\t\tWithStats: true,\n\t\tWithData:  true,\n\t}\n\n\tresBody, err := ccms.doRequest(ctx, &req)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while performing request for job %d: %s\", job.JobID, err.Error())\n\t\treturn nil, err\n\t}\n\n\tvar errors []string\n\tjobData := make(schema.JobData)\n\n\t// Add safety check for potential index out of range errors\n\tif len(resBody.Results) != len(req.Queries) || len(assignedScope) != len(req.Queries) {\n\t\tcclog.Warnf(\"Mismatch in query results count: queries=%d, results=%d, assignedScope=%d\",\n\t\t\tlen(req.Queries), len(resBody.Results), len(assignedScope))\n\t\tif len(resBody.Results) > len(req.Queries) {\n\t\t\tresBody.Results = resBody.Results[:len(req.Queries)]\n\t\t}\n\t\tif len(assignedScope) > len(req.Queries) {\n\t\t\tassignedScope = assignedScope[:len(req.Queries)]\n\t\t}\n\t}\n\n\tfor i, row := range resBody.Results {\n\t\tquery := req.Queries[i]\n\t\tmetric := query.Metric\n\t\tscope := assignedScope[i]\n\t\tmc := archive.GetMetricConfig(job.Cluster, metric)\n\n\t\tif mc == nil {\n\t\t\tcclog.Warnf(\"Metric config not found for %s on cluster %s\", metric, job.Cluster)\n\t\t\tcontinue\n\t\t}\n\n\t\tif _, ok := jobData[metric]; !ok {\n\t\t\tjobData[metric] = make(map[schema.MetricScope]*schema.JobMetric)\n\t\t}\n\n\t\tres := mc.Timestep\n\t\tif len(row) > 0 {\n\t\t\tres = row[0].Resolution\n\t\t}\n\n\t\tjobMetric, ok := jobData[metric][scope]\n\t\tif !ok {\n\t\t\tjobMetric = &schema.JobMetric{\n\t\t\t\tUnit:     mc.Unit,\n\t\t\t\tTimestep: res,\n\t\t\t\tSeries:   make([]schema.Series, 0),\n\t\t\t}\n\t\t\tjobData[metric][scope] = jobMetric\n\t\t}\n\n\t\tfor ndx, res := range row {\n\t\t\tif res.Error != nil {\n\t\t\t\t/* Build list for \"partial errors\", if any */\n\t\t\t\terrors = append(errors, fmt.Sprintf(\"failed to fetch '%s' from host '%s': %s\", query.Metric, query.Hostname, *res.Error))\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tid := ms.ExtractTypeID(query.Type, query.TypeIds, ndx, query.Metric, query.Hostname)\n\n\t\t\tms.SanitizeStats(&res.Avg, &res.Min, &res.Max)\n\n\t\t\tjobMetric.Series = append(jobMetric.Series, schema.Series{\n\t\t\t\tHostname: query.Hostname,\n\t\t\t\tID:       id,\n\t\t\t\tStatistics: schema.MetricStatistics{\n\t\t\t\t\tAvg: float64(res.Avg),\n\t\t\t\t\tMin: float64(res.Min),\n\t\t\t\t\tMax: float64(res.Max),\n\t\t\t\t},\n\t\t\t\tData: res.Data,\n\t\t\t})\n\t\t}\n\n\t\t// So that one can later check len(jobData):\n\t\tif len(jobMetric.Series) == 0 {\n\t\t\tdelete(jobData[metric], scope)\n\t\t\tif len(jobData[metric]) == 0 {\n\t\t\t\tdelete(jobData, metric)\n\t\t\t}\n\t\t}\n\t}\n\n\tif len(errors) != 0 {\n\t\t/* Returns list for \"partial errors\" */\n\t\treturn jobData, fmt.Errorf(\"METRICDATA/EXTERNAL-CCMS > Errors: %s\", strings.Join(errors, \", \"))\n\t}\n\treturn jobData, nil\n}\n\n// LoadStats retrieves min/avg/max statistics for job metrics at node scope.\n// This is faster than LoadData when only statistical summaries are needed (no time series data).\n//\n// Returns statistics organized as: metric -> hostname -> statistics.\nfunc (ccms *CCMetricStore) LoadStats(\n\tjob *schema.Job,\n\tmetrics []string,\n\tctx context.Context,\n) (map[string]map[string]schema.MetricStatistics, error) {\n\tqueries, _, err := ccms.buildQueries(job, metrics, []schema.MetricScope{schema.MetricScopeNode}, 0) // #166 Add scope shere for analysis view accelerator normalization?\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while building queries for jobId %d, Metrics %v: %s\", job.JobID, metrics, err.Error())\n\t\treturn nil, err\n\t}\n\n\treq := APIQueryRequest{\n\t\tCluster:   job.Cluster,\n\t\tFrom:      job.StartTime,\n\t\tTo:        job.StartTime + int64(job.Duration),\n\t\tQueries:   queries,\n\t\tWithStats: true,\n\t\tWithData:  false,\n\t}\n\n\tresBody, err := ccms.doRequest(ctx, &req)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while performing request for job %d: %s\", job.JobID, err.Error())\n\t\treturn nil, err\n\t}\n\n\tstats := make(map[string]map[string]schema.MetricStatistics, len(metrics))\n\tfor i, res := range resBody.Results {\n\t\tif i >= len(req.Queries) {\n\t\t\tcclog.Warnf(\"LoadStats: result index %d exceeds queries length %d\", i, len(req.Queries))\n\t\t\tbreak\n\t\t}\n\t\tif len(res) == 0 {\n\t\t\t// No Data Found For Metric, Logged in FetchData to Warn\n\t\t\tcontinue\n\t\t}\n\t\tquery := req.Queries[i]\n\t\tmetric := query.Metric\n\t\tdata := res[0]\n\t\tif data.Error != nil {\n\t\t\tcclog.Warnf(\"fetching %s for node %s failed: %s\", metric, query.Hostname, *data.Error)\n\t\t\tcontinue\n\t\t}\n\n\t\tmetricdata, ok := stats[metric]\n\t\tif !ok {\n\t\t\tmetricdata = make(map[string]schema.MetricStatistics, job.NumNodes)\n\t\t\tstats[metric] = metricdata\n\t\t}\n\n\t\tif hasNaNStats(data.Avg, data.Min, data.Max) {\n\t\t\tcclog.Warnf(\"fetching %s for node %s failed: one of avg/min/max is NaN\", metric, query.Hostname)\n\t\t\tcontinue\n\t\t}\n\n\t\tmetricdata[query.Hostname] = schema.MetricStatistics{\n\t\t\tAvg: float64(data.Avg),\n\t\t\tMin: float64(data.Min),\n\t\t\tMax: float64(data.Max),\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// LoadScopedStats retrieves statistics for job metrics across multiple scopes.\n// Used for the Job-View Statistics Table to display per-scope breakdowns.\n//\n// Returns statistics organized as: metric -> scope -> list of scoped statistics.\n// Each scoped statistic includes hostname, hardware ID (if applicable), and min/avg/max values.\nfunc (ccms *CCMetricStore) LoadScopedStats(\n\tjob *schema.Job,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tctx context.Context,\n) (schema.ScopedJobStats, error) {\n\tqueries, assignedScope, err := ccms.buildQueries(job, metrics, scopes, 0)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while building queries for jobId %d, Metrics %v, Scopes %v: %s\", job.JobID, metrics, scopes, err.Error())\n\t\treturn nil, err\n\t}\n\n\treq := APIQueryRequest{\n\t\tCluster:   job.Cluster,\n\t\tFrom:      job.StartTime,\n\t\tTo:        job.StartTime + int64(job.Duration),\n\t\tQueries:   queries,\n\t\tWithStats: true,\n\t\tWithData:  false,\n\t}\n\n\tresBody, err := ccms.doRequest(ctx, &req)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while performing request for job %d: %s\", job.JobID, err.Error())\n\t\treturn nil, err\n\t}\n\n\tvar errors []string\n\tscopedJobStats := make(schema.ScopedJobStats)\n\n\tfor i, row := range resBody.Results {\n\t\tquery := req.Queries[i]\n\t\tmetric := query.Metric\n\t\tscope := assignedScope[i]\n\n\t\tif _, ok := scopedJobStats[metric]; !ok {\n\t\t\tscopedJobStats[metric] = make(map[schema.MetricScope][]*schema.ScopedStats)\n\t\t}\n\n\t\tif _, ok := scopedJobStats[metric][scope]; !ok {\n\t\t\tscopedJobStats[metric][scope] = make([]*schema.ScopedStats, 0)\n\t\t}\n\n\t\tfor ndx, res := range row {\n\t\t\tif res.Error != nil {\n\t\t\t\t/* Build list for \"partial errors\", if any */\n\t\t\t\terrors = append(errors, fmt.Sprintf(\"failed to fetch '%s' from host '%s': %s\", query.Metric, query.Hostname, *res.Error))\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tid := ms.ExtractTypeID(query.Type, query.TypeIds, ndx, query.Metric, query.Hostname)\n\n\t\t\tms.SanitizeStats(&res.Avg, &res.Min, &res.Max)\n\n\t\t\tscopedJobStats[metric][scope] = append(scopedJobStats[metric][scope], &schema.ScopedStats{\n\t\t\t\tHostname: query.Hostname,\n\t\t\t\tID:       id,\n\t\t\t\tData: &schema.MetricStatistics{\n\t\t\t\t\tAvg: float64(res.Avg),\n\t\t\t\t\tMin: float64(res.Min),\n\t\t\t\t\tMax: float64(res.Max),\n\t\t\t\t},\n\t\t\t})\n\t\t}\n\n\t\t// So that one can later check len(scopedJobStats[metric][scope]): Remove from map if empty\n\t\tif len(scopedJobStats[metric][scope]) == 0 {\n\t\t\tdelete(scopedJobStats[metric], scope)\n\t\t\tif len(scopedJobStats[metric]) == 0 {\n\t\t\t\tdelete(scopedJobStats, metric)\n\t\t\t}\n\t\t}\n\t}\n\n\tif len(errors) != 0 {\n\t\t/* Returns list for \"partial errors\" */\n\t\treturn scopedJobStats, fmt.Errorf(\"METRICDATA/EXTERNAL-CCMS > Errors: %s\", strings.Join(errors, \", \"))\n\t}\n\treturn scopedJobStats, nil\n}\n\n// LoadNodeData retrieves current metric data for specified nodes in a cluster.\n// Used for the Systems-View Node-Overview to display real-time node status.\n//\n// If nodes is nil, queries all metrics for all nodes in the cluster (bulk query).\n// Returns data organized as: hostname -> metric -> list of JobMetric (with time series and stats).\nfunc (ccms *CCMetricStore) LoadNodeData(\n\tcluster string,\n\tmetrics, nodes []string,\n\tscopes []schema.MetricScope,\n\tfrom, to time.Time,\n\tctx context.Context,\n) (map[string]map[string][]*schema.JobMetric, error) {\n\treq := APIQueryRequest{\n\t\tCluster:   cluster,\n\t\tFrom:      from.Unix(),\n\t\tTo:        to.Unix(),\n\t\tWithStats: true,\n\t\tWithData:  true,\n\t}\n\n\tif nodes == nil {\n\t\treq.ForAllNodes = append(req.ForAllNodes, metrics...)\n\t} else {\n\t\tfor _, node := range nodes {\n\t\t\tfor _, metric := range metrics {\n\t\t\t\treq.Queries = append(req.Queries, APIQuery{\n\t\t\t\t\tHostname:   node,\n\t\t\t\t\tMetric:     metric,\n\t\t\t\t\tResolution: 0, // Default for Node Queries: Will return metric $Timestep Resolution\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\t}\n\n\tresBody, err := ccms.doRequest(ctx, &req)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while performing request for cluster %s: %s\", cluster, err.Error())\n\t\treturn nil, err\n\t}\n\n\tvar errors []string\n\tdata := make(map[string]map[string][]*schema.JobMetric)\n\tfor i, res := range resBody.Results {\n\t\tif len(res) == 0 {\n\t\t\t// No Data Found For Metric, Logged in FetchData to Warn\n\t\t\tcontinue\n\t\t}\n\n\t\tvar query APIQuery\n\t\tif resBody.Queries != nil {\n\t\t\tquery = resBody.Queries[i]\n\t\t} else {\n\t\t\tquery = req.Queries[i]\n\t\t}\n\n\t\tmetric := query.Metric\n\t\tqdata := res[0]\n\t\tif qdata.Error != nil {\n\t\t\terrors = append(errors, fmt.Sprintf(\"fetching %s for node %s failed: %s\", metric, query.Hostname, *qdata.Error))\n\t\t\tcontinue\n\t\t}\n\n\t\tmc := archive.GetMetricConfig(cluster, metric)\n\t\tif mc == nil {\n\t\t\tcclog.Warnf(\"Metric config not found for %s on cluster %s\", metric, cluster)\n\t\t\tcontinue\n\t\t}\n\n\t\tms.SanitizeStats(&qdata.Avg, &qdata.Min, &qdata.Max)\n\n\t\thostdata, ok := data[query.Hostname]\n\t\tif !ok {\n\t\t\thostdata = make(map[string][]*schema.JobMetric)\n\t\t\tdata[query.Hostname] = hostdata\n\t\t}\n\n\t\thostdata[metric] = append(hostdata[metric], &schema.JobMetric{\n\t\t\tUnit:     mc.Unit,\n\t\t\tTimestep: mc.Timestep,\n\t\t\tSeries: []schema.Series{\n\t\t\t\t{\n\t\t\t\t\tHostname: query.Hostname,\n\t\t\t\t\tData:     qdata.Data,\n\t\t\t\t\tStatistics: schema.MetricStatistics{\n\t\t\t\t\t\tAvg: float64(qdata.Avg),\n\t\t\t\t\t\tMin: float64(qdata.Min),\n\t\t\t\t\t\tMax: float64(qdata.Max),\n\t\t\t\t\t},\n\t\t\t\t},\n\t\t\t},\n\t\t})\n\t}\n\n\tif len(errors) != 0 {\n\t\t/* Returns list of \"partial errors\" */\n\t\treturn data, fmt.Errorf(\"METRICDATA/EXTERNAL-CCMS > Errors: %s\", strings.Join(errors, \", \"))\n\t}\n\n\treturn data, nil\n}\n\n// LoadNodeListData retrieves paginated node metrics for the Systems-View Node-List.\n//\n// Supports filtering by subcluster and node name pattern. The nodeFilter performs\n// substring matching on hostnames.\n//\n// Returns:\n//   - Node data organized as: hostname -> JobData (metric -> scope -> series)\n//   - Total node count (before pagination)\n//   - HasNextPage flag indicating if more pages are available\n//   - Error (may be partial error with some data returned)\nfunc (ccms *CCMetricStore) LoadNodeListData(\n\tcluster, subCluster string,\n\tnodes []string,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tresolution int,\n\tfrom, to time.Time,\n\tctx context.Context,\n) (map[string]schema.JobData, error) {\n\tqueries, assignedScope, err := ccms.buildNodeQueries(cluster, subCluster, nodes, metrics, scopes, resolution)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while building node queries for Cluster %s, SubCluster %s, Metrics %v, Scopes %v: %s\", cluster, subCluster, metrics, scopes, err.Error())\n\t\treturn nil, err\n\t}\n\n\t// Verify assignment is correct - log any inconsistencies for debugging\n\tif len(queries) != len(assignedScope) {\n\t\tcclog.Errorf(\"Critical error: queries and assignedScope have different lengths after buildNodeQueries: %d vs %d\",\n\t\t\tlen(queries), len(assignedScope))\n\t}\n\n\treq := APIQueryRequest{\n\t\tCluster:   cluster,\n\t\tQueries:   queries,\n\t\tFrom:      from.Unix(),\n\t\tTo:        to.Unix(),\n\t\tWithStats: true,\n\t\tWithData:  true,\n\t}\n\n\tresBody, err := ccms.doRequest(ctx, &req)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while performing request for cluster %s: %s\", cluster, err.Error())\n\t\treturn nil, err\n\t}\n\n\tvar errors []string\n\tdata := make(map[string]schema.JobData)\n\n\t// Add safety check for index out of range issues\n\tif len(resBody.Results) != len(req.Queries) || len(assignedScope) != len(req.Queries) {\n\t\tcclog.Warnf(\"Mismatch in query results count: queries=%d, results=%d, assignedScope=%d\",\n\t\t\tlen(req.Queries), len(resBody.Results), len(assignedScope))\n\t\tif len(resBody.Results) > len(req.Queries) {\n\t\t\tresBody.Results = resBody.Results[:len(req.Queries)]\n\t\t}\n\t\tif len(assignedScope) > len(req.Queries) {\n\t\t\tassignedScope = assignedScope[:len(req.Queries)]\n\t\t}\n\t}\n\n\tfor i, row := range resBody.Results {\n\t\tvar query APIQuery\n\t\tif resBody.Queries != nil {\n\t\t\tif i < len(resBody.Queries) {\n\t\t\t\tquery = resBody.Queries[i]\n\t\t\t} else {\n\t\t\t\tcclog.Warnf(\"Index out of range prevented for resBody.Queries: i=%d, len=%d\",\n\t\t\t\t\ti, len(resBody.Queries))\n\t\t\t\tcontinue\n\t\t\t}\n\t\t} else {\n\t\t\tquery = req.Queries[i]\n\t\t}\n\n\t\tmetric := query.Metric\n\t\tscope := assignedScope[i]\n\t\tmc := archive.GetMetricConfig(cluster, metric)\n\t\tif mc == nil {\n\t\t\tcclog.Warnf(\"Metric config not found for %s on cluster %s\", metric, cluster)\n\t\t\tcontinue\n\t\t}\n\n\t\tres := mc.Timestep\n\t\tif len(row) > 0 {\n\t\t\tres = row[0].Resolution\n\t\t}\n\n\t\t// Init Nested Map Data Structures If Not Found\n\t\thostData, ok := data[query.Hostname]\n\t\tif !ok {\n\t\t\thostData = make(schema.JobData)\n\t\t\tdata[query.Hostname] = hostData\n\t\t}\n\n\t\tmetricData, ok := hostData[metric]\n\t\tif !ok {\n\t\t\tmetricData = make(map[schema.MetricScope]*schema.JobMetric)\n\t\t\tdata[query.Hostname][metric] = metricData\n\t\t}\n\n\t\tscopeData, ok := metricData[scope]\n\t\tif !ok {\n\t\t\tscopeData = &schema.JobMetric{\n\t\t\t\tUnit:     mc.Unit,\n\t\t\t\tTimestep: res,\n\t\t\t\tSeries:   make([]schema.Series, 0),\n\t\t\t}\n\t\t\tdata[query.Hostname][metric][scope] = scopeData\n\t\t}\n\n\t\tfor ndx, res := range row {\n\t\t\tif res.Error != nil {\n\t\t\t\t/* Build list for \"partial errors\", if any */\n\t\t\t\terrors = append(errors, fmt.Sprintf(\"failed to fetch '%s' from host '%s': %s\", query.Metric, query.Hostname, *res.Error))\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tid := ms.ExtractTypeID(query.Type, query.TypeIds, ndx, query.Metric, query.Hostname)\n\n\t\t\tms.SanitizeStats(&res.Avg, &res.Min, &res.Max)\n\n\t\t\tscopeData.Series = append(scopeData.Series, schema.Series{\n\t\t\t\tHostname: query.Hostname,\n\t\t\t\tID:       id,\n\t\t\t\tStatistics: schema.MetricStatistics{\n\t\t\t\t\tAvg: float64(res.Avg),\n\t\t\t\t\tMin: float64(res.Min),\n\t\t\t\t\tMax: float64(res.Max),\n\t\t\t\t},\n\t\t\t\tData: res.Data,\n\t\t\t})\n\t\t}\n\t}\n\n\tif len(errors) != 0 {\n\t\t/* Returns list of \"partial errors\" */\n\t\treturn data, fmt.Errorf(\"METRICDATA/EXTERNAL-CCMS > Errors: %s\", strings.Join(errors, \", \"))\n\t}\n\n\treturn data, nil\n}\n\n// HealthCheck queries the external cc-metric-store's health check endpoint.\n// It sends a HealthCheckReq as the request body to /api/healthcheck and\n// returns the per-node health check results.\nfunc (ccms *CCMetricStore) HealthCheck(cluster string,\n\tnodes []string, metrics []string,\n) (map[string]ms.HealthCheckResult, error) {\n\treq := ms.HealthCheckReq{\n\t\tCluster:     cluster,\n\t\tNodes:       nodes,\n\t\tMetricNames: metrics,\n\t}\n\n\tbuf := &bytes.Buffer{}\n\tif err := json.NewEncoder(buf).Encode(req); err != nil {\n\t\tcclog.Errorf(\"Error while encoding health check request body: %s\", err.Error())\n\t\treturn nil, err\n\t}\n\n\tendpoint := fmt.Sprintf(\"%s/api/healthcheck\", ccms.url)\n\thttpReq, err := http.NewRequest(http.MethodGet, endpoint, buf)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while building health check request: %s\", err.Error())\n\t\treturn nil, err\n\t}\n\tif ccms.jwt != \"\" {\n\t\thttpReq.Header.Add(\"Authorization\", fmt.Sprintf(\"Bearer %s\", ccms.jwt))\n\t}\n\n\tres, err := ccms.client.Do(httpReq)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while performing health check request: %s\", err.Error())\n\t\treturn nil, err\n\t}\n\tdefer res.Body.Close()\n\n\tif res.StatusCode != http.StatusOK {\n\t\treturn nil, fmt.Errorf(\"'%s': HTTP Status: %s\", endpoint, res.Status)\n\t}\n\n\tvar results map[string]ms.HealthCheckResult\n\tif err := json.NewDecoder(bufio.NewReader(res.Body)).Decode(&results); err != nil {\n\t\tcclog.Errorf(\"Error while decoding health check response: %s\", err.Error())\n\t\treturn nil, err\n\t}\n\n\treturn results, nil\n}\n\n// hasNaNStats returns true if any of the statistics contain NaN values.\nfunc hasNaNStats(avg, min, max schema.Float) bool {\n\treturn avg.IsNaN() || min.IsNaN() || max.IsNaN()\n}\n","structuredPatch":[{"oldStart":617,"oldLines":6,"newStart":617,"newLines":7,"lines":["   resolution int,","   from, to time.Time,","   ctx context.Context,","+  resampleAlgo string,"," ) (map[string]schema.JobData, error) {","   queries, assignedScope, err := ccms.buildNodeQueries(cluster, subCluster, nodes, metrics, scopes, resolution)","   if err != nil {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"83c6c897-0bd8-43ab-8b29-9c3c1b3d9890","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
+{"parentUuid":"c4c697f9-2c28-400e-a7c9-2f4bd0f927fb","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Kt2Wb82LxZjaYvdHQuKb4b","type":"message","role":"assistant","content":[{"type":"text","text":"Now check for any remaining Read callers outside metricstore and check if there are other callers of `MemoryStore.Read`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":487,"cache_read_input_tokens":98538,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":487},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZD2JNRJ3JwraeGkRfab8","type":"assistant","uuid":"012cdf8b-d57a-4b1d-a2ee-4bc53efd629e","timestamp":"2026-03-19T19:52:54.197Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
+{"parentUuid":"012cdf8b-d57a-4b1d-a2ee-4bc53efd629e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Kt2Wb82LxZjaYvdHQuKb4b","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0125Rmiz3CTUGW4SfmFsrXRm","name":"Grep","input":{"pattern":"\\.Read\\(","path":"/Users/jan/tmp/cc-backend/pkg/metricstore","output_mode":"content","-n":true,"glob":"*.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":487,"cache_read_input_tokens":98538,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":487},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZD2JNRJ3JwraeGkRfab8","type":"assistant","uuid":"ab08ccdc-c954-4e31-a5b8-624d2c81140b","timestamp":"2026-03-19T19:52:54.832Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
+{"parentUuid":"ab08ccdc-c954-4e31-a5b8-624d2c81140b","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_0125Rmiz3CTUGW4SfmFsrXRm","toolUseID":"toolu_0125Rmiz3CTUGW4SfmFsrXRm","timestamp":"2026-03-19T19:52:54.869Z","uuid":"8d712fc2-3146-4667-adb8-4e10b7b5faa3","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
+{"parentUuid":"ab08ccdc-c954-4e31-a5b8-624d2c81140b","isSidechain":false,"promptId":"1c46e1b2-ade5-44be-90d9-e93109c02833","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0125Rmiz3CTUGW4SfmFsrXRm","type":"tool_result","content":"pkg/metricstore/parquetArchive_test.go:107:\tn, err := reader.Read(readRows)\npkg/metricstore/parquetArchive_test.go:231:\tn, err := reader.Read(readRows)\npkg/metricstore/api.go:183:// The function constructs selectors based on the query parameters and calls MemoryStore.Read()\npkg/metricstore/api.go:283:\t\t\tdata.Data, data.From, data.To, data.Resolution, err = ms.Read(sel, query.Metric, req.From, req.To, query.Resolution, req.ResampleAlgo)\npkg/metricstore/parquetArchive.go:209:\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\npkg/metricstore/parquetArchive.go:216:\t\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\npkg/metricstore/parquetArchive.go:219:\t\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\npkg/metricstore/walCheckpoint.go:484:\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\npkg/metricstore/walCheckpoint.go:496:\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\npkg/metricstore/walCheckpoint.go:510:\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\npkg/metricstore/walCheckpoint.go:591:\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\npkg/metricstore/walCheckpoint.go:857:\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\npkg/metricstore/walCheckpoint.go:865:\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\npkg/metricstore/walCheckpoint.go:868:\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\npkg/metricstore/walCheckpoint.go:894:\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\npkg/metricstore/walCheckpoint.go:905:\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\npkg/metricstore/walCheckpoint.go:908:\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\npkg/metricstore/walCheckpoint.go:913:\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\npkg/metricstore/walCheckpoint.go:920:\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\npkg/metricstore/walCheckpoint.go:934:\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\npkg/metricstore/walCheckpoint.go:957:\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {"}]},"uuid":"5266c4b8-f7c1-4d5e-b5ee-230a13525de1","timestamp":"2026-03-19T19:52:54.869Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"pkg/metricstore/parquetArchive_test.go:107:\tn, err := reader.Read(readRows)\npkg/metricstore/parquetArchive_test.go:231:\tn, err := reader.Read(readRows)\npkg/metricstore/api.go:183:// The function constructs selectors based on the query parameters and calls MemoryStore.Read()\npkg/metricstore/api.go:283:\t\t\tdata.Data, data.From, data.To, data.Resolution, err = ms.Read(sel, query.Metric, req.From, req.To, query.Resolution, req.ResampleAlgo)\npkg/metricstore/parquetArchive.go:209:\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\npkg/metricstore/parquetArchive.go:216:\t\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\npkg/metricstore/parquetArchive.go:219:\t\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\npkg/metricstore/walCheckpoint.go:484:\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\npkg/metricstore/walCheckpoint.go:496:\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\npkg/metricstore/walCheckpoint.go:510:\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\npkg/metricstore/walCheckpoint.go:591:\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\npkg/metricstore/walCheckpoint.go:857:\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\npkg/metricstore/walCheckpoint.go:865:\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\npkg/metricstore/walCheckpoint.go:868:\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\npkg/metricstore/walCheckpoint.go:894:\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\npkg/metricstore/walCheckpoint.go:905:\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\npkg/metricstore/walCheckpoint.go:908:\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\npkg/metricstore/walCheckpoint.go:913:\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\npkg/metricstore/walCheckpoint.go:920:\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\npkg/metricstore/walCheckpoint.go:934:\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\npkg/metricstore/walCheckpoint.go:957:\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {","numLines":21},"sourceToolAssistantUUID":"ab08ccdc-c954-4e31-a5b8-624d2c81140b","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
+{"parentUuid":"5266c4b8-f7c1-4d5e-b5ee-230a13525de1","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01FsJFQoZJqoZYLt33VYW3fL","type":"message","role":"assistant","content":[{"type":"text","text":"Only the one in api.go. Now let me check for any test files that might call `MemoryStore.Read`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1044,"cache_read_input_tokens":99025,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1044},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZD2Jmdnuqtai3Sh2DuAs","type":"assistant","uuid":"7eb9a416-b66e-42a5-839c-ff3532b6f57f","timestamp":"2026-03-19T19:52:58.601Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
+{"parentUuid":"7eb9a416-b66e-42a5-839c-ff3532b6f57f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01FsJFQoZJqoZYLt33VYW3fL","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0148cKtnbGywkbDSSoxkTunL","name":"Grep","input":{"pattern":"MemoryStore.*Read\\(|\\.Read\\(.*metric","path":"/Users/jan/tmp/cc-backend/pkg/metricstore","glob":"*_test.go","output_mode":"content"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1044,"cache_read_input_tokens":99025,"output_tokens":166,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1044,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZD2Jmdnuqtai3Sh2DuAs","type":"assistant","uuid":"9a8d67b5-6c5f-4b0c-a939-7c62f78c6c64","timestamp":"2026-03-19T19:52:59.247Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
+{"parentUuid":"9a8d67b5-6c5f-4b0c-a939-7c62f78c6c64","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_0148cKtnbGywkbDSSoxkTunL","toolUseID":"toolu_0148cKtnbGywkbDSSoxkTunL","timestamp":"2026-03-19T19:52:59.280Z","uuid":"c8e6522f-1bda-4754-859f-5c34b273339c","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
+{"parentUuid":"9a8d67b5-6c5f-4b0c-a939-7c62f78c6c64","isSidechain":false,"promptId":"1c46e1b2-ade5-44be-90d9-e93109c02833","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0148cKtnbGywkbDSSoxkTunL","type":"tool_result","content":"No matches found"}]},"uuid":"29c46d12-1831-4c3f-8077-7973737ccfc3","timestamp":"2026-03-19T19:52:59.280Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"","numLines":0},"sourceToolAssistantUUID":"9a8d67b5-6c5f-4b0c-a939-7c62f78c6c64","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
+{"parentUuid":"29c46d12-1831-4c3f-8077-7973737ccfc3","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01H3pZXCLijcvZsFgYvYz2tG","type":"message","role":"assistant","content":[{"type":"text","text":"Good. Now let me also check the healthcheck.go and any other file that might call Read:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":181,"cache_read_input_tokens":100069,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":181},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZD2K5Q8RGqRLRUYh6Eyd","type":"assistant","uuid":"d75a4c74-7f3d-4d32-8882-20801fc01807","timestamp":"2026-03-19T19:53:03.209Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
+{"parentUuid":"d75a4c74-7f3d-4d32-8882-20801fc01807","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01H3pZXCLijcvZsFgYvYz2tG","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FNtJKDwbbNmTwifqatCeby","name":"Grep","input":{"pattern":"m\\.Read\\(|ms\\.Read\\(|store\\.Read\\(","path":"/Users/jan/tmp/cc-backend","output_mode":"content","glob":"*.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":181,"cache_read_input_tokens":100069,"output_tokens":153,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":181,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZD2K5Q8RGqRLRUYh6Eyd","type":"assistant","uuid":"6e40c96a-8dda-4c47-88db-5c265bd11f42","timestamp":"2026-03-19T19:53:03.850Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
+{"parentUuid":"6e40c96a-8dda-4c47-88db-5c265bd11f42","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01FNtJKDwbbNmTwifqatCeby","toolUseID":"toolu_01FNtJKDwbbNmTwifqatCeby","timestamp":"2026-03-19T19:53:03.885Z","uuid":"5ce58579-0aa1-4d96-bb6e-6a68ab3a196f","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
+{"parentUuid":"6e40c96a-8dda-4c47-88db-5c265bd11f42","isSidechain":false,"promptId":"1c46e1b2-ade5-44be-90d9-e93109c02833","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FNtJKDwbbNmTwifqatCeby","type":"tool_result","content":"pkg/metricstore/api.go:283:\t\t\tdata.Data, data.From, data.To, data.Resolution, err = ms.Read(sel, query.Metric, req.From, req.To, query.Resolution, req.ResampleAlgo)"}]},"uuid":"4f96f527-42fb-4d58-8560-56f6f55dae13","timestamp":"2026-03-19T19:53:03.885Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"pkg/metricstore/api.go:283:\t\t\tdata.Data, data.From, data.To, data.Resolution, err = ms.Read(sel, query.Metric, req.From, req.To, query.Resolution, req.ResampleAlgo)","numLines":1},"sourceToolAssistantUUID":"6e40c96a-8dda-4c47-88db-5c265bd11f42","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
+{"parentUuid":"4f96f527-42fb-4d58-8560-56f6f55dae13","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Mf7d9JnSqra6PNvvWPpSqG","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me try building:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":225,"cache_read_input_tokens":100250,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":225},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZD2KR6YoMEZhLDptv1C5","type":"assistant","uuid":"2c68cad7-9b40-4007-98d2-6046c424d368","timestamp":"2026-03-19T19:53:07.703Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
+{"parentUuid":"2c68cad7-9b40-4007-98d2-6046c424d368","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Mf7d9JnSqra6PNvvWPpSqG","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011EETmLgEnCMnebwN82KB5G","name":"Bash","input":{"command":"go build ./... 2>&1 | head -30","description":"Build all packages","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":225,"cache_read_input_tokens":100250,"output_tokens":120,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":225,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZD2KR6YoMEZhLDptv1C5","type":"assistant","uuid":"78181157-af72-4b65-9daa-8108035f5f33","timestamp":"2026-03-19T19:53:08.679Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
+{"parentUuid":"78181157-af72-4b65-9daa-8108035f5f33","isSidechain":false,"promptId":"1c46e1b2-ade5-44be-90d9-e93109c02833","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011EETmLgEnCMnebwN82KB5G","type":"tool_result","content":"# github.com/ClusterCockpit/cc-backend/internal/api\ninternal/api/job.go:1081:77: not enough arguments in call to resolver.Query().JobMetrics\n\thave (\"context\".Context, string, []string, []schema.MetricScope, nil)\n\twant (\"context\".Context, string, []string, []schema.MetricScope, *int, *model.ResampleAlgo)","is_error":false}]},"uuid":"df5c6afb-d6c0-4e37-8f33-edec49ea0894","timestamp":"2026-03-19T19:53:30.744Z","toolUseResult":{"stdout":"# github.com/ClusterCockpit/cc-backend/internal/api\ninternal/api/job.go:1081:77: not enough arguments in call to resolver.Query().JobMetrics\n\thave (\"context\".Context, string, []string, []schema.MetricScope, nil)\n\twant (\"context\".Context, string, []string, []schema.MetricScope, *int, *model.ResampleAlgo)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"78181157-af72-4b65-9daa-8108035f5f33","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
+{"parentUuid":"df5c6afb-d6c0-4e37-8f33-edec49ea0894","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_012t4jCXyduaBNpkbitscw4Y","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011XYmR6PY2fAS4ffnYqAL9j","name":"Read","input":{"file_path":"/Users/jan/tmp/cc-backend/internal/api/job.go","offset":1078,"limit":5},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":216,"cache_read_input_tokens":100475,"output_tokens":105,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":216,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZD2MPwQSqUZ1PZSxiPMN","type":"assistant","uuid":"d5deedad-8051-4152-afa5-17d7be2b6c97","timestamp":"2026-03-19T19:53:34.645Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
+{"parentUuid":"d5deedad-8051-4152-afa5-17d7be2b6c97","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_011XYmR6PY2fAS4ffnYqAL9j","toolUseID":"toolu_011XYmR6PY2fAS4ffnYqAL9j","timestamp":"2026-03-19T19:53:34.672Z","uuid":"5eeabd49-f050-4938-a057-5383ffc7bde7","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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+{"parentUuid":"02ffcac1-f02b-4c4e-8ec6-0f055dd90d57","isSidechain":false,"promptId":"1c46e1b2-ade5-44be-90d9-e93109c02833","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Tqrep2ywJBTupcDXFVVmZL","type":"tool_result","content":"The file /Users/jan/tmp/cc-backend/internal/api/job.go has been updated successfully."}]},"uuid":"bd4c7c61-b75c-4238-8e87-685cbb88a4c8","timestamp":"2026-03-19T19:53:40.401Z","toolUseResult":{"filePath":"/Users/jan/tmp/cc-backend/internal/api/job.go","oldString":"data, err := resolver.Query().JobMetrics(r.Context(), id, metrics, scopes, nil)","newString":"data, err := resolver.Query().JobMetrics(r.Context(), id, metrics, scopes, nil, nil)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"bufio\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"net/http\"\n\t\"strconv\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/go-chi/chi/v5\"\n)\n\nconst (\n\t// secondsPerDay is the number of seconds in 24 hours.\n\t// Used for duplicate job detection within a day window.\n\tsecondsPerDay = 86400\n)\n\n// StopJobAPIRequest model\ntype StopJobAPIRequest struct {\n\tJobID     *int64          `json:\"jobId\" example:\"123000\"`\n\tCluster   *string         `json:\"cluster\" example:\"fritz\"`\n\tStartTime *int64          `json:\"startTime\" example:\"1649723812\"`\n\tState     schema.JobState `json:\"jobState\" validate:\"required\" example:\"completed\"`\n\tStopTime  int64           `json:\"stopTime\" validate:\"required\" example:\"1649763839\"`\n}\n\n// DeleteJobAPIRequest model\ntype DeleteJobAPIRequest struct {\n\tJobID     *int64  `json:\"jobId\" validate:\"required\" example:\"123000\"` // Cluster Job ID of job\n\tCluster   *string `json:\"cluster\" example:\"fritz\"`                    // Cluster of job\n\tStartTime *int64  `json:\"startTime\" example:\"1649723812\"`             // Start Time of job as epoch\n}\n\n// GetJobsAPIResponse model\ntype GetJobsAPIResponse struct {\n\tJobs  []*schema.Job `json:\"jobs\"`  // Array of jobs\n\tItems int           `json:\"items\"` // Number of jobs returned\n\tPage  int           `json:\"page\"`  // Page id returned\n}\n\n// APITag model\ntype APITag struct {\n\t// Tag Type\n\tType  string `json:\"type\" example:\"Debug\"`\n\tName  string `json:\"name\" example:\"Testjob\"` // Tag Name\n\tScope string `json:\"scope\" example:\"global\"` // Tag Scope for Frontend Display\n}\n\ntype EditMetaRequest struct {\n\tKey   string `json:\"key\" example:\"jobScript\"`\n\tValue string `json:\"value\" example:\"bash script\"`\n}\n\n// JobMetaRequest model\ntype JobMetaRequest struct {\n\tJobId     *int64          `json:\"jobId\" validate:\"required\" example:\"123000\"` // Cluster Job ID of job\n\tCluster   *string         `json:\"cluster\" example:\"fritz\"`                    // Cluster of job\n\tStartTime *int64          `json:\"startTime\" example:\"1649723812\"`             // Start Time of job as epoch\n\tPayload   EditMetaRequest `json:\"payload\"`                                    // Content to Add to Job Meta_Data\n}\n\ntype TagJobAPIRequest []*APITag\n\ntype GetJobAPIRequest []string\n\ntype GetJobAPIResponse struct {\n\tMeta *schema.Job\n\tData []*JobMetricWithName\n}\n\ntype GetCompleteJobAPIResponse struct {\n\tMeta *schema.Job\n\tData schema.JobData\n}\n\ntype JobMetricWithName struct {\n\tMetric *schema.JobMetric  `json:\"metric\"`\n\tName   string             `json:\"name\"`\n\tScope  schema.MetricScope `json:\"scope\"`\n}\n\n// getJobs godoc\n// @summary     Lists all jobs\n// @tags Job query\n// @description Get a list of all jobs. Filters can be applied using query parameters.\n// @description Number of results can be limited by page. Results are sorted by descending startTime.\n// @produce     json\n// @param       state          query    string            false \"Job State\" Enums(running, completed, failed, cancelled, stopped, timeout)\n// @param       cluster        query    string            false \"Job Cluster\"\n// @param       start-time     query    string            false \"Syntax: '$from-$to', as unix epoch timestamps in seconds\"\n// @param       items-per-page query    int               false \"Items per page (Default: 25)\"\n// @param       page           query    int               false \"Page Number (Default: 1)\"\n// @param       with-metadata  query    bool              false \"Include metadata (e.g. jobScript) in response\"\n// @success     200            {object} api.GetJobsAPIResponse  \"Job array and page info\"\n// @failure     400            {object} api.ErrorResponse       \"Bad Request\"\n// @failure     401   \t\t   {object} api.ErrorResponse       \"Unauthorized\"\n// @failure     403            {object} api.ErrorResponse       \"Forbidden\"\n// @failure     500            {object} api.ErrorResponse       \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/jobs/ [get]\nfunc (api *RestAPI) getJobs(rw http.ResponseWriter, r *http.Request) {\n\twithMetadata := false\n\tfilter := &model.JobFilter{}\n\tpage := &model.PageRequest{ItemsPerPage: 25, Page: 1}\n\torder := &model.OrderByInput{Field: \"startTime\", Type: \"col\", Order: model.SortDirectionEnumDesc}\n\n\tfor key, vals := range r.URL.Query() {\n\t\tswitch key {\n\t\tcase \"project\":\n\t\t\tfilter.Project = &model.StringInput{Eq: &vals[0]}\n\t\tcase \"state\":\n\t\t\tfor _, s := range vals {\n\t\t\t\tstate := schema.JobState(s)\n\t\t\t\tif !state.Valid() {\n\t\t\t\t\thandleError(fmt.Errorf(\"invalid query parameter value: state\"),\n\t\t\t\t\t\thttp.StatusBadRequest, rw)\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tfilter.State = append(filter.State, state)\n\t\t\t}\n\t\tcase \"cluster\":\n\t\t\tfilter.Cluster = &model.StringInput{Eq: &vals[0]}\n\t\tcase \"start-time\": // ?startTime=1753707480-1754053139\n\t\t\tst := strings.Split(vals[0], \"-\")\n\t\t\tif len(st) != 2 {\n\t\t\t\thandleError(fmt.Errorf(\"invalid query parameter value: startTime\"),\n\t\t\t\t\thttp.StatusBadRequest, rw)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tfrom, err := strconv.ParseInt(st[0], 10, 64)\n\t\t\tif err != nil {\n\t\t\t\thandleError(err, http.StatusBadRequest, rw)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tto, err := strconv.ParseInt(st[1], 10, 64)\n\t\t\tif err != nil {\n\t\t\t\thandleError(err, http.StatusBadRequest, rw)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tufrom, uto := time.Unix(from, 0), time.Unix(to, 0)\n\t\t\tfilter.StartTime = &config.TimeRange{From: &ufrom, To: &uto}\n\t\tcase \"page\":\n\t\t\tx, err := strconv.Atoi(vals[0])\n\t\t\tif err != nil {\n\t\t\t\thandleError(err, http.StatusBadRequest, rw)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tpage.Page = x\n\t\tcase \"items-per-page\":\n\t\t\tx, err := strconv.Atoi(vals[0])\n\t\t\tif err != nil {\n\t\t\t\thandleError(err, http.StatusBadRequest, rw)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tpage.ItemsPerPage = x\n\t\tcase \"with-metadata\":\n\t\t\twithMetadata = true\n\t\tdefault:\n\t\t\thandleError(fmt.Errorf(\"invalid query parameter: %s\", key),\n\t\t\t\thttp.StatusBadRequest, rw)\n\t\t\treturn\n\t\t}\n\t}\n\n\tjobs, err := api.JobRepository.QueryJobs(r.Context(), []*model.JobFilter{filter}, page, order)\n\tif err != nil {\n\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\tresults := make([]*schema.Job, 0, len(jobs))\n\tfor _, job := range jobs {\n\t\tif withMetadata {\n\t\t\tif _, err = api.JobRepository.FetchMetadata(job); err != nil {\n\t\t\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\n\t\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n\t\tif err != nil {\n\t\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\t\treturn\n\t\t}\n\n\t\tif job.MonitoringStatus == schema.MonitoringStatusArchivingSuccessful {\n\t\t\tjob.Statistics, err = archive.GetStatistics(job)\n\t\t\tif err != nil {\n\t\t\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\n\t\tresults = append(results, job)\n\t}\n\n\tcclog.Debugf(\"/api/jobs: %d jobs returned\", len(results))\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\tbw := bufio.NewWriter(rw)\n\tdefer bw.Flush()\n\n\tpayload := GetJobsAPIResponse{\n\t\tJobs:  results,\n\t\tItems: page.ItemsPerPage,\n\t\tPage:  page.Page,\n\t}\n\n\tif err := json.NewEncoder(bw).Encode(payload); err != nil {\n\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n}\n\n// getCompleteJobByID godoc\n// @summary   Get job meta and optional all metric data\n// @tags Job query\n// @description Job to get is specified by database ID\n// @description Returns full job resource information according to 'Job' scheme and all metrics according to 'JobData'.\n// @produce     json\n// @param       id          path     int                  true \"Database ID of Job\"\n// @param       all-metrics query    bool                 false \"Include all available metrics\"\n// @success     200     {object} api.GetJobAPIResponse      \"Job resource\"\n// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/jobs/{id} [get]\nfunc (api *RestAPI) getCompleteJobByID(rw http.ResponseWriter, r *http.Request) {\n\t// Fetch job from db\n\tid := chi.URLParam(r, \"id\")\n\tvar job *schema.Job\n\tvar err error\n\tif id != \"\" {\n\t\tid, e := strconv.ParseInt(id, 10, 64)\n\t\tif e != nil {\n\t\t\thandleError(fmt.Errorf(\"integer expected in path for id: %w\", e), http.StatusBadRequest, rw)\n\t\t\treturn\n\t\t}\n\n\t\tjob, err = api.JobRepository.FindByID(r.Context(), id) // Get Job from Repo by ID\n\t} else {\n\t\thandleError(fmt.Errorf(\"the parameter 'id' is required\"), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"finding job with db id %s failed: %w\", id, err), http.StatusUnprocessableEntity, rw)\n\t\treturn\n\t}\n\n\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n\tif err != nil {\n\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\treturn\n\n\t}\n\tif _, err = api.JobRepository.FetchMetadata(job); err != nil {\n\n\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\tvar scopes []schema.MetricScope\n\n\tif job.NumNodes == 1 {\n\t\tscopes = []schema.MetricScope{\"core\"}\n\t} else {\n\t\tscopes = []schema.MetricScope{\"node\"}\n\t}\n\n\tvar data schema.JobData\n\n\tmetricConfigs := archive.GetCluster(job.Cluster).MetricConfig\n\tresolution := 0\n\n\tfor _, mc := range metricConfigs {\n\t\tresolution = max(resolution, mc.Timestep)\n\t}\n\n\tif r.URL.Query().Get(\"all-metrics\") == \"true\" {\n\t\tdata, err = metricdispatch.LoadData(job, nil, scopes, r.Context(), resolution, \"\")\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"REST: error while loading all-metrics job data for JobID %d on %s\", job.JobID, job.Cluster)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Debugf(\"/api/job/%s: get job %d\", id, job.JobID)\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\tbw := bufio.NewWriter(rw)\n\tdefer bw.Flush()\n\n\tpayload := GetCompleteJobAPIResponse{\n\t\tMeta: job,\n\t\tData: data,\n\t}\n\n\tif err := json.NewEncoder(bw).Encode(payload); err != nil {\n\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n}\n\n// getJobByID godoc\n// @summary   Get job meta and configurable metric data\n// @tags Job query\n// @description Job to get is specified by database ID\n// @description Returns full job resource information according to 'Job' scheme and all metrics according to 'JobData'.\n// @accept      json\n// @produce     json\n// @param       id          path     int                  true \"Database ID of Job\"\n// @param       request     body     api.GetJobAPIRequest true  \"Array of metric names\"\n// @success     200     {object} api.GetJobAPIResponse      \"Job resource\"\n// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/jobs/{id} [post]\nfunc (api *RestAPI) getJobByID(rw http.ResponseWriter, r *http.Request) {\n\t// Fetch job from db\n\tid := chi.URLParam(r, \"id\")\n\tvar job *schema.Job\n\tvar err error\n\tif id != \"\" {\n\t\tid, e := strconv.ParseInt(id, 10, 64)\n\t\tif e != nil {\n\t\t\thandleError(fmt.Errorf(\"integer expected in path for id: %w\", e), http.StatusBadRequest, rw)\n\t\t\treturn\n\t\t}\n\n\t\tjob, err = api.JobRepository.FindByID(r.Context(), id)\n\t} else {\n\t\thandleError(errors.New(\"the parameter 'id' is required\"), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"finding job with db id %s failed: %w\", id, err), http.StatusUnprocessableEntity, rw)\n\t\treturn\n\t}\n\n\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n\tif err != nil {\n\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\treturn\n\n\t}\n\tif _, err = api.JobRepository.FetchMetadata(job); err != nil {\n\n\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\tvar metrics GetJobAPIRequest\n\tif err = decode(r.Body, &metrics); err != nil {\n\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tvar scopes []schema.MetricScope\n\n\tif job.NumNodes == 1 {\n\t\tscopes = []schema.MetricScope{\"core\"}\n\t} else {\n\t\tscopes = []schema.MetricScope{\"node\"}\n\t}\n\n\tmetricConfigs := archive.GetCluster(job.Cluster).MetricConfig\n\tresolution := 0\n\n\tfor _, mc := range metricConfigs {\n\t\tresolution = max(resolution, mc.Timestep)\n\t}\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, r.Context(), resolution, \"\")\n\tif err != nil {\n\t\tcclog.Warnf(\"REST: error while loading job data for JobID %d on %s\", job.JobID, job.Cluster)\n\t\treturn\n\t}\n\n\tres := []*JobMetricWithName{}\n\tfor name, md := range data {\n\t\tfor scope, metric := range md {\n\t\t\tres = append(res, &JobMetricWithName{\n\t\t\t\tName:   name,\n\t\t\t\tScope:  scope,\n\t\t\t\tMetric: metric,\n\t\t\t})\n\t\t}\n\t}\n\n\tcclog.Debugf(\"/api/job/%s: get job %d\", id, job.JobID)\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\tbw := bufio.NewWriter(rw)\n\tdefer bw.Flush()\n\n\tpayload := GetJobAPIResponse{\n\t\tMeta: job,\n\t\tData: res,\n\t}\n\n\tif err := json.NewEncoder(bw).Encode(payload); err != nil {\n\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n}\n\n// editMeta godoc\n// @summary    Edit meta-data json of job identified by database id\n// @tags Job add and modify\n// @description Edit key value pairs in job metadata json of job specified by database id\n// @description If a key already exists its content will be overwritten\n// @accept      json\n// @produce     json\n// @param       id      path     int                  true \"Job Database ID\"\n// @param       request body     api.EditMetaRequest  true \"Metadata Key value pair to add or update\"\n// @success     200     {object} schema.Job                \"Updated job resource\"\n// @failure     400     {object} api.ErrorResponse         \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse         \"Unauthorized\"\n// @failure     404     {object} api.ErrorResponse         \"Job does not exist\"\n// @failure     500     {object} api.ErrorResponse         \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/jobs/edit_meta/{id} [patch]\nfunc (api *RestAPI) editMeta(rw http.ResponseWriter, r *http.Request) {\n\tid, err := strconv.ParseInt(chi.URLParam(r, \"id\"), 10, 64)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"parsing job ID failed: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tjob, err := api.JobRepository.FindByID(r.Context(), id)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n\t\treturn\n\t}\n\n\tvar req EditMetaRequest\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tif err := api.JobRepository.UpdateMetadata(job, req.Key, req.Value); err != nil {\n\t\thandleError(fmt.Errorf(\"updating metadata failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusOK)\n\tif err := json.NewEncoder(rw).Encode(job); err != nil {\n\t\tcclog.Errorf(\"Failed to encode job response: %v\", err)\n\t}\n}\n\n// editMetaByRequest godoc\n// @summary    Edit meta-data json of job identified by request\n// @tags Job add and modify\n// @description Edit key value pairs in metadata json of job specified by jobID, StartTime and Cluster\n// @description If a key already exists its content will be overwritten\n// @accept      json\n// @produce     json\n// @param       request body     api.JobMetaRequest   true \"Specifies job and payload to add or update\"\n// @success     200     {object} schema.Job                \"Updated job resource\"\n// @failure     400     {object} api.ErrorResponse         \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse         \"Unauthorized\"\n// @failure     404     {object} api.ErrorResponse         \"Job does not exist\"\n// @failure     500     {object} api.ErrorResponse         \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/jobs/edit_meta/ [patch]\nfunc (api *RestAPI) editMetaByRequest(rw http.ResponseWriter, r *http.Request) {\n\t// Parse request body\n\treq := JobMetaRequest{}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\t// Fetch job (that will have its meta_data edited) from db\n\tvar job *schema.Job\n\tvar err error\n\tif req.JobId == nil {\n\t\thandleError(errors.New(\"the field 'jobId' is required\"), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\t// log.Printf(\"loading db job for editMetaByRequest... : JobMetaRequest=%v\", req)\n\tjob, err = api.JobRepository.Find(req.JobId, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusUnprocessableEntity, rw)\n\t\treturn\n\t}\n\n\tif err := api.JobRepository.UpdateMetadata(job, req.Payload.Key, req.Payload.Value); err != nil {\n\t\thttp.Error(rw, err.Error(), http.StatusInternalServerError)\n\t\treturn\n\t}\n\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusOK)\n\tjson.NewEncoder(rw).Encode(job)\n}\n\n// tagJob godoc\n// @summary     Adds one or more tags to a job\n// @tags Job add and modify\n// @description Adds tag(s) to a job specified by DB ID. Name and Type of Tag(s) can be chosen freely.\n// @description Tag Scope for frontend visibility will default to \"global\" if none entered, other options: \"admin\" or specific username.\n// @description If tagged job is already finished: Tag will be written directly to respective archive files.\n// @accept      json\n// @produce     json\n// @param       id      path     int                  true \"Job Database ID\"\n// @param       request body     api.TagJobAPIRequest true \"Array of tag-objects to add\"\n// @success     200     {object} schema.Job                \"Updated job resource\"\n// @failure     400     {object} api.ErrorResponse         \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse         \"Unauthorized\"\n// @failure     404     {object} api.ErrorResponse         \"Job or tag does not exist\"\n// @failure     500     {object} api.ErrorResponse         \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/jobs/tag_job/{id} [post]\nfunc (api *RestAPI) tagJob(rw http.ResponseWriter, r *http.Request) {\n\tid, err := strconv.ParseInt(chi.URLParam(r, \"id\"), 10, 64)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"parsing job ID failed: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tjob, err := api.JobRepository.FindByID(r.Context(), id)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n\t\treturn\n\t}\n\n\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"getting tags failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\tvar req TagJobAPIRequest\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tfor _, tag := range req {\n\t\ttagID, err := api.JobRepository.AddTagOrCreate(repository.GetUserFromContext(r.Context()), *job.ID, tag.Type, tag.Name, tag.Scope)\n\t\tif err != nil {\n\t\t\thandleError(fmt.Errorf(\"adding tag failed: %w\", err), http.StatusInternalServerError, rw)\n\t\t\treturn\n\t\t}\n\n\t\tjob.Tags = append(job.Tags, &schema.Tag{\n\t\t\tID:    tagID,\n\t\t\tType:  tag.Type,\n\t\t\tName:  tag.Name,\n\t\t\tScope: tag.Scope,\n\t\t})\n\t}\n\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusOK)\n\tif err := json.NewEncoder(rw).Encode(job); err != nil {\n\t\tcclog.Errorf(\"Failed to encode job response: %v\", err)\n\t}\n}\n\n// removeTagJob godoc\n// @summary     Removes one or more tags from a job\n// @tags Job add and modify\n// @description Removes tag(s) from a job specified by DB ID. Name and Type of Tag(s) must match.\n// @description Tag Scope is required for matching, options: \"global\", \"admin\". Private tags can not be deleted via API.\n// @description If tagged job is already finished: Tag will be removed from respective archive files.\n// @accept      json\n// @produce     json\n// @param       id      path     int                  true \"Job Database ID\"\n// @param       request body     api.TagJobAPIRequest true \"Array of tag-objects to remove\"\n// @success     200     {object} schema.Job                \"Updated job resource\"\n// @failure     400     {object} api.ErrorResponse         \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse         \"Unauthorized\"\n// @failure     404     {object} api.ErrorResponse         \"Job or tag does not exist\"\n// @failure     500     {object} api.ErrorResponse         \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /jobs/tag_job/{id} [delete]\nfunc (api *RestAPI) removeTagJob(rw http.ResponseWriter, r *http.Request) {\n\tid, err := strconv.ParseInt(chi.URLParam(r, \"id\"), 10, 64)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"parsing job ID failed: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tjob, err := api.JobRepository.FindByID(r.Context(), id)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n\t\treturn\n\t}\n\n\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"getting tags failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\tvar req TagJobAPIRequest\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tfor _, rtag := range req {\n\t\t// Only Global and Admin Tags\n\t\tif rtag.Scope != \"global\" && rtag.Scope != \"admin\" {\n\t\t\tcclog.Warnf(\"Cannot delete private tag for job %d: Skip\", job.JobID)\n\t\t\tcontinue\n\t\t}\n\n\t\tremainingTags, err := api.JobRepository.RemoveJobTagByRequest(repository.GetUserFromContext(r.Context()), *job.ID, rtag.Type, rtag.Name, rtag.Scope)\n\t\tif err != nil {\n\t\t\thandleError(fmt.Errorf(\"removing tag failed: %w\", err), http.StatusInternalServerError, rw)\n\t\t\treturn\n\t\t}\n\n\t\tjob.Tags = remainingTags\n\t}\n\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusOK)\n\tif err := json.NewEncoder(rw).Encode(job); err != nil {\n\t\tcclog.Errorf(\"Failed to encode job response: %v\", err)\n\t}\n}\n\n// removeTags godoc\n// @summary     Removes all tags and job-relations for type:name tuple\n// @tags Tag remove\n// @description Removes tags by type and name. Name and Type of Tag(s) must match.\n// @description Tag Scope is required for matching, options: \"global\", \"admin\". Private tags can not be deleted via API.\n// @description Tag wills be removed from respective archive files.\n// @accept      json\n// @produce     plain\n// @param       request body     api.TagJobAPIRequest true \"Array of tag-objects to remove\"\n// @success     200     {string} string                    \"Success Response\"\n// @failure     400     {object} api.ErrorResponse         \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse         \"Unauthorized\"\n// @failure     404     {object} api.ErrorResponse         \"Job or tag does not exist\"\n// @failure     500     {object} api.ErrorResponse         \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /tags/ [delete]\nfunc (api *RestAPI) removeTags(rw http.ResponseWriter, r *http.Request) {\n\tvar req TagJobAPIRequest\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\ttargetCount := len(req)\n\tcurrentCount := 0\n\tfor _, rtag := range req {\n\t\t// Only Global and Admin Tags\n\t\tif rtag.Scope != \"global\" && rtag.Scope != \"admin\" {\n\t\t\tcclog.Warn(\"Cannot delete private tag: Skip\")\n\t\t\tcontinue\n\t\t}\n\n\t\terr := api.JobRepository.RemoveTagByRequest(rtag.Type, rtag.Name, rtag.Scope)\n\t\tif err != nil {\n\t\t\thandleError(fmt.Errorf(\"removing tag failed: %w\", err), http.StatusInternalServerError, rw)\n\t\t\treturn\n\t\t}\n\t\tcurrentCount++\n\t}\n\n\trw.WriteHeader(http.StatusOK)\n\tfmt.Fprintf(rw, \"Deleted Tags from DB: %d successfull of %d requested\\n\", currentCount, targetCount)\n}\n\n// startJob godoc\n// @summary     Adds a new job as \"running\"\n// @tags Job add and modify\n// @description Job specified in request body will be saved to database as \"running\" with new DB ID.\n// @description Job specifications follow the 'Job' scheme, API will fail to execute if requirements are not met.\n// @accept      json\n// @produce     json\n// @param       request body     schema.Job true \"Job to add\"\n// @success     201     {object} api.DefaultAPIResponse    \"Job added successfully\"\n// @failure     400     {object} api.ErrorResponse            \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse            \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse            \"Forbidden\"\n// @failure     422     {object} api.ErrorResponse            \"Unprocessable Entity: The combination of jobId, clusterId and startTime does already exist\"\n// @failure     500     {object} api.ErrorResponse            \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/jobs/start_job/ [post]\nfunc (api *RestAPI) startJob(rw http.ResponseWriter, r *http.Request) {\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"REST: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\thandleError(err, http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\t// aquire lock to avoid race condition between API calls\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\t// Check if combination of (job_id, cluster_id, start_time) already exists:\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\thandleError(fmt.Errorf(\"checking for duplicate failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\t// Check if jobs are within the same day (prevent duplicates)\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\thandleError(fmt.Errorf(\"a job with that jobId, cluster and startTime already exists: dbid: %d, jobid: %d\", *job.ID, job.JobID), http.StatusUnprocessableEntity, rw)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\t// Jobs without tags use the cache path as before.\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"insert into database failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\t// unlock here, adding Tags can be async\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(repository.GetUserFromContext(r.Context()), id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\thandleError(fmt.Errorf(\"adding tag to new job %d failed: %w\", id, err), http.StatusInternalServerError, rw)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\", id, req.Cluster, req.JobID, req.User, req.StartTime)\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusCreated)\n\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{\n\t\tMessage: \"success\",\n\t}); err != nil {\n\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n\t}\n}\n\n// stopJobByRequest godoc\n// @summary     Marks job as completed and triggers archiving\n// @tags Job add and modify\n// @description Job to stop is specified by request body. All fields are required in this case.\n// @description Returns full job resource information according to 'Job' scheme.\n// @produce     json\n// @param       request body     api.StopJobAPIRequest true \"All fields required\"\n// @success     200     {object} schema.Job                 \"Success message\"\n// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: job has already been stopped\"\n// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/jobs/stop_job/ [post]\nfunc (api *RestAPI) stopJobByRequest(rw http.ResponseWriter, r *http.Request) {\n\t// Parse request body\n\treq := StopJobAPIRequest{}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\t// Fetch job (that will be stopped) from db\n\tvar job *schema.Job\n\tvar err error\n\tif req.JobID == nil {\n\t\thandleError(errors.New(\"the field 'jobId' is required\"), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err = api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tapi.checkAndHandleStopJob(rw, job, req, isCached)\n}\n\n// deleteJobByID godoc\n// @summary     Remove a job from the sql database\n// @tags Job remove\n// @description Job to remove is specified by database ID. This will not remove the job from the job archive.\n// @produce     json\n// @param       id      path     int                   true \"Database ID of Job\"\n// @success     200     {object} api.DefaultAPIResponse  \"Success message\"\n// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/jobs/delete_job/{id} [delete]\nfunc (api *RestAPI) deleteJobByID(rw http.ResponseWriter, r *http.Request) {\n\t// Fetch job (that will be stopped) from db\n\tid := chi.URLParam(r, \"id\")\n\tvar err error\n\tif id != \"\" {\n\t\tid, e := strconv.ParseInt(id, 10, 64)\n\t\tif e != nil {\n\t\t\thandleError(fmt.Errorf(\"integer expected in path for id: %w\", e), http.StatusBadRequest, rw)\n\t\t\treturn\n\t\t}\n\n\t\terr = api.JobRepository.DeleteJobByID(id)\n\t} else {\n\t\thandleError(errors.New(\"the parameter 'id' is required\"), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"deleting job failed: %w\", err), http.StatusUnprocessableEntity, rw)\n\t\treturn\n\t}\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusOK)\n\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{\n\t\tMessage: fmt.Sprintf(\"Successfully deleted job %s\", id),\n\t}); err != nil {\n\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n\t}\n}\n\n// deleteJobByRequest godoc\n// @summary     Remove a job from the sql database\n// @tags Job remove\n// @description Job to delete is specified by request body. All fields are required in this case.\n// @accept      json\n// @produce     json\n// @param       request body     api.DeleteJobAPIRequest true \"All fields required\"\n// @success     200     {object} api.DefaultAPIResponse  \"Success message\"\n// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/jobs/delete_job/ [delete]\nfunc (api *RestAPI) deleteJobByRequest(rw http.ResponseWriter, r *http.Request) {\n\t// Parse request body\n\treq := DeleteJobAPIRequest{}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\t// Fetch job (that will be deleted) from db\n\tvar job *schema.Job\n\tvar err error\n\tif req.JobID == nil {\n\t\thandleError(errors.New(\"the field 'jobId' is required\"), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusUnprocessableEntity, rw)\n\t\treturn\n\t}\n\n\terr = api.JobRepository.DeleteJobByID(*job.ID)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"deleting job failed: %w\", err), http.StatusUnprocessableEntity, rw)\n\t\treturn\n\t}\n\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusOK)\n\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{\n\t\tMessage: fmt.Sprintf(\"Successfully deleted job %d\", *job.ID),\n\t}); err != nil {\n\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n\t}\n}\n\n// deleteJobBefore godoc\n// @summary     Remove a job from the sql database\n// @tags Job remove\n// @description Remove all jobs with start time before timestamp. The jobs will not be removed from the job archive.\n// @produce     json\n// @param       ts      path     int                   true \"Unix epoch timestamp\"\n// @success     200     {object} api.DefaultAPIResponse  \"Success message\"\n// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/jobs/delete_job_before/{ts} [delete]\n// @param       omit-tagged query bool false \"Omit jobs with tags from deletion\"\nfunc (api *RestAPI) deleteJobBefore(rw http.ResponseWriter, r *http.Request) {\n\tvar cnt int\n\t// Fetch job (that will be stopped) from db\n\tid := chi.URLParam(r, \"ts\")\n\tvar err error\n\tif id != \"\" {\n\t\tts, e := strconv.ParseInt(id, 10, 64)\n\t\tif e != nil {\n\t\t\thandleError(fmt.Errorf(\"integer expected in path for ts: %w\", e), http.StatusBadRequest, rw)\n\t\t\treturn\n\t\t}\n\n\t\t// Check for omit-tagged query parameter\n\t\tomitTagged := \"none\"\n\t\tif omitTaggedStr := r.URL.Query().Get(\"omit-tagged\"); omitTaggedStr != \"\" {\n\t\t\tswitch omitTaggedStr {\n\t\t\tcase \"none\", \"all\", \"user\":\n\t\t\t\tomitTagged = omitTaggedStr\n\t\t\tdefault:\n\t\t\t\thandleError(fmt.Errorf(\"omit-tagged must be one of: none, all, user\"), http.StatusBadRequest, rw)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\n\t\tcnt, err = api.JobRepository.DeleteJobsBefore(ts, omitTagged)\n\t} else {\n\t\thandleError(errors.New(\"the parameter 'ts' is required\"), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"deleting jobs failed: %w\", err), http.StatusUnprocessableEntity, rw)\n\t\treturn\n\t}\n\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusOK)\n\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{\n\t\tMessage: fmt.Sprintf(\"Successfully deleted %d jobs\", cnt),\n\t}); err != nil {\n\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n\t}\n}\n\nfunc (api *RestAPI) checkAndHandleStopJob(rw http.ResponseWriter, job *schema.Job, req StopJobAPIRequest, isCached bool) {\n\t// Sanity checks\n\tif job.State != schema.JobStateRunning {\n\t\thandleError(fmt.Errorf(\"jobId %d (id %d) on %s : job has already been stopped (state is: %s)\", job.JobID, *job.ID, job.Cluster, job.State), http.StatusUnprocessableEntity, rw)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\thandleError(fmt.Errorf(\"jobId %d (id %d) on %s : stopTime %d must be larger/equal than startTime %d\", job.JobID, *job.ID, job.Cluster, req.StopTime, job.StartTime), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\thandleError(fmt.Errorf(\"jobId %d (id %d) on %s : invalid requested job state: %#v\", job.JobID, *job.ID, job.Cluster, req.State), http.StatusBadRequest, rw)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\t// Mark job as stopped in the database (update state and duration)\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\t// so that job.ID always points to the job table for downstream code\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\thandleError(fmt.Errorf(\"jobId %d (id %d) on %s : transferring cached job failed: %w\", job.JobID, *job.ID, job.Cluster, err), http.StatusInternalServerError, rw)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\thandleError(fmt.Errorf(\"jobId %d (id %d) on %s : marking job as '%s' (duration: %d) in DB failed: %w\", job.JobID, *job.ID, job.Cluster, job.State, job.Duration, err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"archiving job... (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\", *job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\t// Send a response (with status OK). This means that errors that happen from here on forward\n\t// can *NOT* be communicated to the client. If reading from a MetricDataRepository or\n\t// writing to the filesystem fails, the client will not know.\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusOK)\n\tif err := json.NewEncoder(rw).Encode(job); err != nil {\n\t\tcclog.Errorf(\"Failed to encode job response: %v\", err)\n\t}\n\n\t// Monitoring is disabled...\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\t// Trigger async archiving\n\tarchiver.TriggerArchiving(job)\n}\n\nfunc (api *RestAPI) getJobMetrics(rw http.ResponseWriter, r *http.Request) {\n\tid := chi.URLParam(r, \"id\")\n\tmetrics := r.URL.Query()[\"metric\"]\n\tvar scopes []schema.MetricScope\n\tfor _, scope := range r.URL.Query()[\"scope\"] {\n\t\tvar s schema.MetricScope\n\t\tif err := s.UnmarshalGQL(scope); err != nil {\n\t\t\thandleError(fmt.Errorf(\"unmarshaling scope failed: %w\", err), http.StatusBadRequest, rw)\n\t\t\treturn\n\t\t}\n\t\tscopes = append(scopes, s)\n\t}\n\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusOK)\n\n\ttype Response struct {\n\t\tData *struct {\n\t\t\tJobMetrics []*model.JobMetricWithName `json:\"jobMetrics\"`\n\t\t} `json:\"data\"`\n\t\tError *struct {\n\t\t\tMessage string `json:\"message\"`\n\t\t} `json:\"error\"`\n\t}\n\n\tresolver := graph.GetResolverInstance()\n\tdata, err := resolver.Query().JobMetrics(r.Context(), id, metrics, scopes, nil)\n\tif err != nil {\n\t\tif err := json.NewEncoder(rw).Encode(Response{\n\t\t\tError: &struct {\n\t\t\t\tMessage string `json:\"message\"`\n\t\t\t}{Message: err.Error()},\n\t\t}); err != nil {\n\t\t\tcclog.Errorf(\"Failed to encode error response: %v\", err)\n\t\t}\n\t\treturn\n\t}\n\n\tif err := json.NewEncoder(rw).Encode(Response{\n\t\tData: &struct {\n\t\t\tJobMetrics []*model.JobMetricWithName `json:\"jobMetrics\"`\n\t\t}{JobMetrics: data},\n\t}); err != nil {\n\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n\t}\n}\n\n// GetUsedNodesAPIResponse model\ntype GetUsedNodesAPIResponse struct {\n\tUsedNodes map[string][]string `json:\"usedNodes\"` // Map of cluster names to lists of used node hostnames\n}\n\n// getUsedNodes godoc\n// @summary     Lists used nodes by cluster\n// @tags Job query\n// @description Get a map of cluster names to lists of unique hostnames that are currently in use by running jobs that started before the specified timestamp.\n// @produce     json\n// @param       ts             query    int               true  \"Unix timestamp to filter jobs (jobs with start_time < ts)\"\n// @success     200            {object} api.GetUsedNodesAPIResponse  \"Map of cluster names to hostname lists\"\n// @failure     400            {object} api.ErrorResponse            \"Bad Request\"\n// @failure     401            {object} api.ErrorResponse            \"Unauthorized\"\n// @failure     403            {object} api.ErrorResponse            \"Forbidden\"\n// @failure     500            {object} api.ErrorResponse            \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/jobs/used_nodes [get]\nfunc (api *RestAPI) getUsedNodes(rw http.ResponseWriter, r *http.Request) {\n\tif user := repository.GetUserFromContext(r.Context()); user != nil &&\n\t\t!user.HasRole(schema.RoleAPI) {\n\t\thandleError(fmt.Errorf(\"missing role: %v\", schema.GetRoleString(schema.RoleAPI)), http.StatusForbidden, rw)\n\t\treturn\n\t}\n\n\ttsStr := r.URL.Query().Get(\"ts\")\n\tif tsStr == \"\" {\n\t\thandleError(fmt.Errorf(\"missing required query parameter: ts\"), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tts, err := strconv.ParseInt(tsStr, 10, 64)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"invalid timestamp format: %w\", err), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tusedNodes, err := api.JobRepository.GetUsedNodes(ts)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"failed to get used nodes: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\tpayload := GetUsedNodesAPIResponse{\n\t\tUsedNodes: usedNodes,\n\t}\n\n\tif err := json.NewEncoder(rw).Encode(payload); err != nil {\n\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n}\n","structuredPatch":[{"oldStart":1078,"oldLines":7,"newStart":1078,"newLines":7,"lines":["   }"," ","   resolver := graph.GetResolverInstance()","-  data, err := resolver.Query().JobMetrics(r.Context(), id, metrics, scopes, nil)","+  data, err := resolver.Query().JobMetrics(r.Context(), id, metrics, scopes, nil, nil)","   if err != nil {","     if err := json.NewEncoder(rw).Encode(Response{","       Error: &struct {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"02ffcac1-f02b-4c4e-8ec6-0f055dd90d57","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
+{"parentUuid":"bd4c7c61-b75c-4238-8e87-685cbb88a4c8","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01M8bWXvb6NRUdoBJVsT4H2s","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0192SSu27U95gQS7nDaKJrYR","name":"Bash","input":{"command":"go build ./... 2>&1 | head -30","description":"Build all packages","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":322,"cache_read_input_tokens":100877,"output_tokens":101,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":322,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZD2N7MHcFbCpSb64WPeP","type":"assistant","uuid":"6ae637c4-11ed-4cbf-b5cf-db4b081a9ab8","timestamp":"2026-03-19T19:53:43.431Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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+{"parentUuid":"5bfde1ed-26c7-4eae-b1c1-7745dca07ff1","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Fxfi9P56m5nMLunJNV6Tgg","type":"message","role":"assistant","content":[{"type":"text","text":"Everything builds and tests pass. Let me do a quick summary of all changes made:\n\n## Summary\n\n### cc-lib (`/Users/jan/prg/CC/cc-lib/`)\n\n**`resampler/resampler.go`**:\n- Added `ResamplerFunc` type alias for the shared resampler function signature\n- Added `GetResampler(name string)` lookup function returning the resampler for \"lttb\", \"average\", \"simple\", or \"\" (defaults to LTTB)\n- Added `AverageResampler()` — RRDTool-style AVERAGE CF that divides data into fixed buckets and computes arithmetic mean, skipping NaN values (all-NaN bucket → NaN output)\n\n**`resampler/resampler_test.go`**:\n- Added `TestAverageResampler` — table-driven tests covering early-exit conditions, error cases\n- Added `TestAverageResamplerValues` — exact value verification (`[1,2,3,4,5,6]` step=2 → `[1.5, 3.5, 5.5]`)\n- Added `TestAverageResamplerNaN` — NaN skipping and all-NaN bucket tests\n- Added `TestGetResampler` — lookup function tests for all valid names + unknown\n- Added `BenchmarkAverageResampler`\n\n### cc-backend (`/Users/jan/tmp/cc-backend/`)\n\n**`go.mod`**: Added `replace` directive for local cc-lib\n\n**`api/schema.graphqls`**: Added `ResampleAlgo` enum (LTTB, AVERAGE, SIMPLE) and `resampleAlgo` parameter to `jobMetrics` and `nodeMetricsList` queries\n\n**`internal/graph/generated/`**: Regenerated via `make graphql`\n\n**`internal/graph/schema.resolvers.go`**: Both resolvers convert the enum to lowercase string and pass to data loaders\n\n**`internal/metricdispatch/dataLoader.go`**: \n- `cacheKey()` includes algorithm name\n- `LoadData()` accepts `resampleAlgo string`, uses `resampler.GetResampler()` instead of hardcoded LTTB\n- `LoadNodeListData()` accepts and passes `resampleAlgo` through\n\n**`internal/metricdispatch/metricdata.go`**: Updated `MetricDataRepository` interface\n\n**`pkg/metricstore/api.go`**: Added `ResampleAlgo` field to `APIQueryRequest`, passed to `MemoryStore.Read()`\n\n**`pkg/metricstore/metricstore.go`**: `Read()` accepts `resampleAlgo string`, uses `resampler.GetResampler()` instead of hardcoded LTTB\n\n**`pkg/metricstore/query.go`**: `LoadNodeListData()` threads `resampleAlgo` into `APIQueryRequest`\n\n**`internal/metricstoreclient/cc-metric-store.go`**: Updated signature for interface compliance\n\n**`internal/api/job.go`**, **`internal/api/api_test.go`**, **`internal/archiver/archiver.go`**, **`internal/graph/util.go`**: Updated existing callers to pass `\"\"` (default LTTB behavior)"}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":486,"cache_read_input_tokens":102212,"output_tokens":793,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":486,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZD2Us12hdBjYawzKGzut","type":"assistant","uuid":"f0e2fd0d-926e-4317-bc61-4d93e89c8c61","timestamp":"2026-03-19T19:55:29.774Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"260a4a9e-d060-4d86-982b-1bf5959b9b70","version":"2.1.78","gitBranch":"hotfix","slug":"curious-strolling-acorn"}
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diff --git a/89/3a1de325b5/0/metadata.json b/89/3a1de325b5/0/metadata.json
new file mode 100644
index 00000000..5300d352
--- /dev/null
+++ b/89/3a1de325b5/0/metadata.json
@@ -0,0 +1,46 @@
+{
+  "cli_version": "0.4.8",
+  "checkpoint_id": "893a1de325b5",
+  "session_id": "260a4a9e-d060-4d86-982b-1bf5959b9b70",
+  "strategy": "manual-commit",
+  "created_at": "2026-03-19T20:17:00.303981Z",
+  "branch": "feature/526-average-resample",
+  "checkpoints_count": 1,
+  "files_touched": [
+    "api/schema.graphqls",
+    "go.mod",
+    "go.sum",
+    "internal/api/api_test.go",
+    "internal/api/job.go",
+    "internal/archiver/archiver.go",
+    "internal/graph/generated/generated.go",
+    "internal/graph/model/models_gen.go",
+    "internal/graph/schema.resolvers.go",
+    "internal/graph/util.go",
+    "internal/metricdispatch/dataLoader.go",
+    "internal/metricdispatch/metricdata.go",
+    "internal/metricstoreclient/cc-metric-store.go",
+    "internal/repository/testdata/job.db",
+    "pkg/metricstore/api.go",
+    "pkg/metricstore/metricstore.go",
+    "pkg/metricstore/query.go"
+  ],
+  "agent": "Claude Code",
+  "turn_id": "0c41556af804",
+  "token_usage": {
+    "input_tokens": 3156,
+    "cache_creation_tokens": 88301,
+    "cache_read_tokens": 4751651,
+    "output_tokens": 15445,
+    "api_call_count": 55
+  },
+  "initial_attribution": {
+    "calculated_at": "2026-03-19T20:17:00.00043Z",
+    "agent_lines": 146,
+    "human_added": 45,
+    "human_modified": 24,
+    "human_removed": 0,
+    "total_committed": 215,
+    "agent_percentage": 67.90697674418604
+  }
+}
diff --git a/89/3a1de325b5/0/prompt.txt b/89/3a1de325b5/0/prompt.txt
new file mode 100644
index 00000000..ee03554f
--- /dev/null
+++ b/89/3a1de325b5/0/prompt.txt
@@ -0,0 +1,138 @@
+Implement the following plan:
+
+# Plan: Add RRDTool-style Average Consolidation Function to Resampler
+
+## Context
+
+The current downsampler in `cc-lib/v2/resampler` offers two algorithms:
+- **LTTB** (LargestTriangleThreeBucket): Perceptually-aware — picks points that preserve visual shape (peaks/valleys). Used at all call sites.
+- **SimpleResampler**: Decimation — picks every nth point. Fast but lossy.
+
+Neither produces scientifically accurate averages over time intervals. RRDTool's **AVERAGE Consolidation Function (CF)** divides data into fixed-size buckets and computes the arithmetic mean of all points in each bucket. This is the standard approach for monitoring data where the true mean per interval matters more than visual fidelity (e.g., for statistics, SLA reporting, capacity planning).
+
+The goal: add an `AverageResampler` to cc-lib, then expose it as a per-query option in cc-backend's GraphQL API so the frontend/caller can choose the algorithm.
+
+---
+
+## Part 1: cc-lib changes (`/Users/jan/prg/CC/cc-lib/`)
+
+### 1a. Add `AverageResampler` to `resampler/resampler.go`
+
+New exported function with the same signature as existing resamplers:
+
+```go
+func AverageResampler(data []schema.Float, oldFrequency int64, newFrequency int64) ([]schema.Float, int64, error)
+```
+
+**Algorithm (RRDTool AVERAGE CF):**
+1. Call `validateFrequency()` for early-exit checks (reuses existing validation).
+2. Compute `step = newFrequency / oldFrequency` (points per bucket).
+3. For each bucket of `step` consecutive points, compute arithmetic mean skipping NaN values. If all values in a bucket are NaN, output NaN for that bucket.
+4. Return averaged data, `newFrequency`, nil.
+
+**NaN handling**: Skip NaN values and average only valid points (consistent with RRDTool behavior and `AddStats()` in `pkg/metricstore/api.go`). This differs from LTTB which propagates NaN if *any* bucket point is NaN.
+
+### 1b. Add `ResamplerFunc` type and lookup
+
+Add a function type and string-based lookup to make algorithm selection easy for consumers:
+
+```go
+// ResamplerFunc is the signature shared by all resampler algorithms.
+type ResamplerFunc func(data []schema.Float, oldFrequency int64, newFrequency int64) ([]schema.Float, int64, error)
+
+// GetResampler returns the resampler function for the given name.
+// Valid names: "lttb" (default), "average", "simple". Empty string returns LTTB.
+func GetResampler(name string) (ResamplerFunc, error)
+```
+
+### 1c. Add tests to `resampler/resampler_test.go`
+
+Following the existing test patterns (table-driven, same helper functions):
+- Basic averaging: `[1,2,3,4,5,6]` step=2 → `[1.5, 3.5, 5.5]`
+- NaN skipping within buckets
+- All-NaN bucket → NaN output
+- Early-exit conditions (same set as SimpleResampler/LTTB tests)
+- Frequency validation errors
+- Benchmark: `BenchmarkAverageResampler`
+
+---
+
+## Part 2: cc-backend changes (`/Users/jan/tmp/cc-backend/`)
+
+### 2a. Add `replace` directive to `go.mod`
+
+```
+replace github.com/ClusterCockpit/cc-lib/v2 => ../../prg/CC/cc-lib
+```
+
+### 2b. Add GraphQL enum and query parameter
+
+In `api/schema.graphqls`, add enum and parameter to both queries that accept `resolution`:
+
+```graphql
+enum ResampleAlgo {
+  LTTB
+  AVERAGE
+  SIMPLE
+}
+```
+
+Add `resampleAlgo: ResampleAlgo` parameter to:
+- `jobMetrics(id: ID!, metrics: [String!], scopes: [MetricScope!], resolution: Int, resampleAlgo: ResampleAlgo): [JobMetricWithName!]!`
+- `nodeMetricsList(..., resolution: Int, resampleAlgo: ResampleAlgo): NodesResultList!`
+
+Then run `make graphql` to regenerate.
+
+### 2c. Update resolvers to pass algorithm through
+
+**`internal/graph/schema.resolvers.go`**:
+
+`JobMetrics` resolver (line ~501): accept new `resampleAlgo *model.ResampleAlgo` parameter (auto-generated by gqlgen), convert to string, pass to `LoadData`.
+
+`NodeMetricsList` resolver (line ~875): same treatment, pass to `LoadNodeListData`.
+
+### 2d. Thread algorithm through data loading
+
+**`internal/metricdispatch/dataLoader.go`**:
+
+- `LoadData()` (line 85): add `resampleAlgo string` parameter. Use `resampler.GetResampler(resampleAlgo)` to get the function, call it instead of hardcoded `resampler.LargestTriangleThreeBucket` at line 145.
+- `LoadNodeListData()` (line 409): add `resampleAlgo string` parameter, pass through to `InternalMetricStore.LoadNodeListData`.
+
+**`pkg/metricstore/query.go`**:
+
+- `InternalMetricStore.LoadNodeListData()` (line 616): add `resampleAlgo string` to signature, include in `APIQueryRequest` or pass to `MemoryStore.Read`.
+
+**`pkg/metricstore/metricstore.go`**:
+
+- `MemoryStore.Read()` (line ~682): add `resampleAlgo string` parameter. At line 740, use `resampler.GetResampler(resampleAlgo)` instead of hardcoded LTTB.
+
+### 2e. Update cache key
+
+**`internal/metricdispatch/dataLoader.go`**: The `cacheKey()` function must include the algorithm name so different algorithms don't serve stale cached results.
+
+---
+
+## Files to modify
+
+| File | Repo | Change |
+|------|------|--------|
+| `resampler/resampler.go` | cc-lib | Add `AverageResampler`, `ResamplerFunc`, `GetResampler` |
+| `resampler/resampler_test.go` | cc-lib | Add tests + benchmark |
+| `go.mod` | cc-backend | Add `replace` directive |
+| `api/schema.graphqls` | cc-backend | Add `ResampleAlgo` enum, update query params |
+| `internal/graph/generated/` | cc-backend | Regenerated (`make graphql`) |
+| `internal/graph/schema.resolvers.go` | cc-backend | Pass algorithm to data loaders |
+| `internal/metricdispatch/dataLoader.go` | cc-backend | Thread algorithm to resampler calls, update cache key |
+| `pkg/metricstore/query.go` | cc-backend | Thread algorithm through `LoadNodeListData` |
+| `pkg/metricstore/metricstore.go` | cc-backend | Thread algorithm through `Read()`, use `GetResampler` |
+
+## Verification
+
+1. `cd /Users/jan/prg/CC/cc-lib && go test ./resampler/...` — new + existing tests pass
+2. `cd /Users/jan/tmp/cc-backend && make graphql` — GraphQL code regenerates cleanly
+3. `make` — full build succeeds
+4. `make test` — all existing tests pass
+5. Manual: GraphQL playground query with `resampleAlgo: AVERAGE` vs default LTTB — average produces smoother curves without artificial peak preservation
+
+
+If you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-tmp-cc-backend/190ae749-6a19-47a7-82da-dba5a0e7402d.jsonl
\ No newline at end of file
diff --git a/89/3a1de325b5/metadata.json b/89/3a1de325b5/metadata.json
new file mode 100644
index 00000000..c74b2239
--- /dev/null
+++ b/89/3a1de325b5/metadata.json
@@ -0,0 +1,42 @@
+{
+  "cli_version": "0.4.8",
+  "checkpoint_id": "893a1de325b5",
+  "strategy": "manual-commit",
+  "branch": "feature/526-average-resample",
+  "checkpoints_count": 1,
+  "files_touched": [
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+    "go.mod",
+    "go.sum",
+    "internal/api/api_test.go",
+    "internal/api/job.go",
+    "internal/archiver/archiver.go",
+    "internal/graph/generated/generated.go",
+    "internal/graph/model/models_gen.go",
+    "internal/graph/schema.resolvers.go",
+    "internal/graph/util.go",
+    "internal/metricdispatch/dataLoader.go",
+    "internal/metricdispatch/metricdata.go",
+    "internal/metricstoreclient/cc-metric-store.go",
+    "internal/repository/testdata/job.db",
+    "pkg/metricstore/api.go",
+    "pkg/metricstore/metricstore.go",
+    "pkg/metricstore/query.go"
+  ],
+  "sessions": [
+    {
+      "metadata": "/89/3a1de325b5/0/metadata.json",
+      "transcript": "/89/3a1de325b5/0/full.jsonl",
+      "context": "/89/3a1de325b5/0/context.md",
+      "content_hash": "/89/3a1de325b5/0/content_hash.txt",
+      "prompt": "/89/3a1de325b5/0/prompt.txt"
+    }
+  ],
+  "token_usage": {
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+    "cache_creation_tokens": 88301,
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+    "api_call_count": 55
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+}
diff --git a/92/86f4c43ab5/0/content_hash.txt b/92/86f4c43ab5/0/content_hash.txt
new file mode 100644
index 00000000..f537810b
--- /dev/null
+++ b/92/86f4c43ab5/0/content_hash.txt
@@ -0,0 +1 @@
+sha256:9929b58394e681d45a841db27b944726e86117eaef8eeae2abee12466b2d0877
\ No newline at end of file
diff --git a/92/86f4c43ab5/0/full.jsonl b/92/86f4c43ab5/0/full.jsonl
new file mode 100644
index 00000000..36a8a899
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+{"parentUuid":"f79b5502-4a36-49ba-9036-522d3800575f","isSidechain":false,"promptId":"3cfeb673-3994-4be4-972b-126d10ba9d59","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Jqg5yPUKQQQijJCknuagtG","type":"tool_result","content":"     1→# `cc-backend` version 1.5.2\n     2→\n     3→Supports job archive version 3 and database version 11.\n     4→\n     5→This is a bugfix release of `cc-backend`, the API backend and frontend\n     6→implementation of ClusterCockpit.\n     7→For release specific notes visit the [ClusterCockpit Documentation](https://clusterockpit.org/docs/release/).\n     8→If you are upgrading from v1.5.0 you need to do another DB migration. This\n     9→should not take long. For optimal database performance after the migration it is\n    10→recommended to apply the new `optimize-db` flag, which runs the sqlite `ANALYZE`\n    11→and `VACUUM` commands. Depending on your database size (more then 40GB) the\n    12→`VACUUM` may take up to 2h.\n    13→\n    14→## Known issues\n    15→\n    16→- The new dynamic memory management is not bullet proof yet across restarts.\n    17→  Buffers that are kept outside the retention period may be lost across a\n    18→  restart. We will fix that in a subsequent patch release.\n    19→- To use the new log viewer (which is only working when starting cc-backend with\n    20→  systemd) in the admin interface the user under which the cc-backend process is\n    21→  running has to be allowed to execute the journalctl command.\n    22→- The user configuration keys for the ui have changed. Therefore old user\n    23→  configuration persisted in the database is not used anymore. It is recommended\n    24→  to configure the metrics shown in the ui-config sestion and remove all records\n    25→  in the table after the update.\n    26→- Currently energy footprint metrics of type energy are ignored for calculating\n    27→  total energy.\n    28→- With energy footprint metrics of type power the unit is ignored and it is\n    29→  assumed the metric has the unit Watt.\n    30→\n    31→## Changes in 1.5.1\n    32→\n    33→### Database\n    34→\n    35→- **New migration (version 11)**: Optimized database index count and added covering indexes for stats queries for significantly improved query performance\n    36→- **Migration 9 fix**: Removed redundant indices from migration 9 that are superseded by migration 11\n    37→- **Optional DB optimization flag**: Added `-optimize-db` CLI flag to run `ANALYZE` on demand; removed automatic ANALYZE on startup\n    38→- **Selective stats queries**: Stats queries are now selective, reducing unnecessary computation\n    39→- **User list paging**: Added paging support to the user list for better scalability\n    40→- **SQLite configuration hardening**: Sanitized SQLite configuration with new configurable options; fixes large heap allocations in the SQLite driver\n    41→- **Query cancellation**: Long-running database queries can now be cancelled\n    42→- **Resource leak fix**: Added missing `defer Close()` calls for all query result sets\n    43→\n    44→### Bug fixes\n    45→\n    46→- **Segfault when taggers misconfigured**: Fixed crash when `enable-job-taggers` is set but tagger rule directories are missing\n    47→- **GroupBy stats query complexity**: Reduced complexity for `groupBy` statistics queries\n    48→- **Ranged filter conditions**: Fixed GT and LT conditions in ranged filters\n    49→- **Energy filter preset**: Reduced energy filter preset to a more practical default\n    50→- **JSON validity check**: Fixed wrong field being checked for JSON validity\n    51→- **Tagger float rounding**: Fixed rounding of floats in tagger messages\n    52→- **Node view null safety**: Added null-safe checks in node view to prevent runtime errors\n    53→- **Public dashboard null safety**: Added null-safe checks in the public dashboard to prevent runtime errors\n    54→\n    55→### Frontend\n    56→\n    57→- **Bumped patch versions**: Updated frontend dependencies to latest patch versions\n    58→\n    59→### Documentation\n    60→\n    61→- **New DB config options**: Added new database configuration options to README\n    62→\n    63→---\n    64→\n    65→_The sections below document all features and changes introduced in the 1.5.0 major release, which 1.5.1 is based on._\n    66→\n    67→## Breaking changes\n    68→\n    69→### Configuration changes\n    70→\n    71→- **JSON attribute naming**: All JSON configuration attributes now use `kebab-case`\n    72→  style consistently (e.g., `api-allowed-ips` instead of `apiAllowedIPs`).\n    73→  Update your `config.json` accordingly.\n    74→- **Removed `disable-archive` option**: This obsolete configuration option has been removed.\n    75→- **Removed `clusters` config section**: The separate clusters configuration section\n    76→  has been removed. Cluster information is now derived from the job archive.\n    77→- **`apiAllowedIPs` is now optional**: If not specified, defaults to not\n    78→  restricted.\n    79→\n    80→### Architecture changes\n    81→\n    82→- **Web framework replaced**: Migrated from `gorilla/mux` to `chi` as the HTTP\n    83→  router. This should be transparent to users but affects how middleware and\n    84→  routes are composed. A proper 404 handler is now in place.\n    85→- **MetricStore moved**: The `metricstore` package has been moved from `internal/`\n    86→  to `pkg/` as it is now part of the public API.\n    87→- **MySQL/MariaDB support removed**: Only SQLite is now supported as the database backend.\n    88→- **Archive to Cleanup renaming**: Archive-related functions have been refactored\n    89→  and renamed to \"Cleanup\" for clarity.\n    90→- **`minRunningFor` filter removed**: This undocumented filter has been removed\n    91→  from the API and frontend.\n    92→\n    93→### Dependency changes\n    94→\n    95→- **cc-lib v2.8.0**: Switched to cc-lib version 2 with updated APIs\n    96→- **cclib NATS client**: Now using the cclib NATS client implementation\n    97→- Removed obsolete `util.Float` usage from cclib\n    98→\n    99→## Major new features\n   100→\n   101→### NATS API Integration\n   102→\n   103→- **Real-time job events**: Subscribe to job start/stop events via NATS\n   104→- **Node state updates**: Receive real-time node state changes via NATS\n   105→- **Configurable subjects**: NATS API subjects are now configurable via `api-subjects`\n   106→- **Deadlock fixes**: Improved NATS client stability and graceful shutdown\n   107→\n   108→### Public Dashboard\n   109→\n   110→- **Public-facing interface**: New public dashboard route for external users\n   111→- **DoubleMetricPlot component**: New visualization component for comparing metrics\n   112→- **Improved layout**: Reviewed and optimized dashboard layouts for better readability\n   113→\n   114→### Enhanced Node Management\n   115→\n   116→- **Node state tracking**: New node table in database with timestamp tracking\n   117→- **Node state filtering**: Filter jobs by node state in systems view\n   118→- **Node list enhancements**: Improved paging, filtering, and continuous scroll support\n   119→- **Nodestate retention and archiving**: Node state data is now subject to configurable\n   120→  retention policies and can be archived to Parquet format for long-term storage\n   121→- **Faulty node metric tracking**: Faulty node state metric lists are persisted to the database\n   122→\n   123→### Health Monitoring\n   124→\n   125→- **Health status dashboard**: New dedicated \"Health\" tab in the status details view\n   126→  showing per-node metric health across the cluster\n   127→- **CCMS health check**: Support for querying health status of external\n   128→  cc-metric-store (CCMS) instances via the API\n   129→- **GraphQL health endpoints**: New GraphQL queries and resolvers for health data\n   130→- **Cluster/subcluster filter**: Filter health status view by cluster or subcluster\n   131→\n   132→### Log Viewer\n   133→\n   134→- **Web-based log viewer**: New log viewer page in the admin interface for inspecting\n   135→  backend log output directly from the browser without shell access\n   136→- **Accessible from header**: Quick access link from the navigation header\n   137→\n   138→### MetricStore Improvements\n   139→\n   140→- **Memory tracking worker**: New worker for CCMS memory usage tracking\n   141→- **Dynamic retention**: Support for job specific dynamic retention times\n   142→- **Improved compression**: Transparent compression for job archive imports\n   143→- **Parallel processing**: Parallelized Iter function in all archive backends\n   144→\n   145→### Job Tagging System\n   146→\n   147→- **Job tagger option**: Enable automatic job tagging via configuration flag\n   148→- **Application detection**: Automatic detection of applications (MATLAB, GROMACS, etc.)\n   149→- **Job classification**: Automatic detection of pathological jobs\n   150→- **omit-tagged**: Option to exclude tagged jobs from retention/cleanup operations (`none`, `all`, or `user`)\n   151→- **Admin UI trigger**: Taggers can be run on-demand from the admin web interface\n   152→  without restarting the backend\n   153→\n   154→### Archive Backends\n   155→\n   156→- **Parquet archive format**: New Parquet file format for job archiving, providing\n   157→  columnar storage with efficient compression for analytical workloads\n   158→- **S3 backend**: Full support for S3-compatible object storage\n   159→- **SQLite backend**: Full support for SQLite backend using blobs\n   160→- **Performance improvements**: Fixed performance bugs in archive backends\n   161→- **Better error handling**: Improved error messages and fallback handling\n   162→- **Zstd compression**: Parquet writers use zstd compression for better\n   163→  compression ratios compared to the previous snappy default\n   164→- **Optimized sort order**: Job and nodestate Parquet files are sorted by\n   165→  cluster, subcluster, and start time for efficient range queries\n   166→\n   167→### Unified Archive Retention and Format Conversion\n   168→\n   169→- **Uniform retention policy**: Job archive retention now supports both JSON and\n   170→  Parquet as target formats under a single, consistent policy configuration\n   171→- **Archive manager tool**: The `tools/archive-manager` utility now supports\n   172→  format conversion between JSON and Parquet job archives\n   173→- **Parquet reader**: Full Parquet archive reader implementation for reading back\n   174→  archived job data\n   175→\n   176→## New features and improvements\n   177→\n   178→### Frontend\n   179→\n   180→- **Loading indicators**: Added loading indicators to status detail and job lists\n   181→- **Job info layout**: Reviewed and improved job info row layout\n   182→- **Metric selection**: Enhanced metric selection with drag-and-drop fixes\n   183→- **Filter presets**: Move list filter preset to URL for easy sharing\n   184→- **Job comparison**: Improved job comparison views and plots\n   185→- **Subcluster reactivity**: Job list now reacts to subcluster filter changes\n   186→- **Short jobs quick selection**: New \"Short jobs\" quick-filter button in job lists\n   187→  replaces the removed undocumented `minRunningFor` filter\n   188→- **Row plot cursor sync**: Cursor position is now synchronized across all metric\n   189→  plots in a job list row for easier cross-metric comparison\n   190→- **Disabled metrics handling**: Improved handling and display of disabled metrics\n   191→  across job view, node view, and list rows\n   192→- **\"Not configured\" info cards**: Informational cards shown when optional features\n   193→  are not yet configured\n   194→- **Frontend dependencies**: Bumped frontend dependencies to latest versions\n   195→- **Svelte 5 compatibility**: Fixed Svelte state warnings and compatibility issues\n   196→\n   197→### Backend\n   198→\n   199→- **Progress bars**: Import function now shows progress during long operations\n   200→- **Better logging**: Improved logging with appropriate log levels throughout\n   201→- **Graceful shutdown**: Fixed shutdown timeout bugs and hanging issues\n   202→- **Configuration defaults**: Sensible defaults for most configuration options\n   203→- **Documentation**: Extensive documentation improvements across packages\n   204→- **Server flag in systemd unit**: Example systemd unit now includes the `-server` flag\n   205→\n   206→### Security\n   207→\n   208→- **LDAP security hardening**: Improved input validation, connection handling, and\n   209→  error reporting in the LDAP authenticator\n   210→- **OIDC security hardening**: Stricter token validation and improved error handling\n   211→  in the OIDC authenticator\n   212→- **Auth schema extensions**: Additional schema fields for improved auth configuration\n   213→\n   214→### API improvements\n   215→\n   216→- **Role-based metric visibility**: Metrics can now have role-based access control\n   217→- **Job exclusivity filter**: New filter for exclusive vs. shared jobs\n   218→- **Improved error messages**: Better error messages and documentation in REST API\n   219→- **GraphQL enhancements**: Improved GraphQL queries and resolvers\n   220→- **Stop job lookup order**: Reversed lookup order in stop job requests for\n   221→  more reliable job matching (cluster+jobId first, then jobId alone)\n   222→\n   223→### Performance\n   224→\n   225→- **Database indices**: Optimized SQLite indices for better query performance\n   226→- **Job cache**: Introduced caching table for faster job inserts\n   227→- **Parallel imports**: Archive imports now run in parallel where possible\n   228→- **External tool integration**: Optimized use of external tools (fd) for better performance\n   229→- **Node repository queries**: Reviewed and optimized node repository SQL queries\n   230→- **Buffer pool**: Resized and pooled internal buffers for better memory reuse\n   231→\n   232→### Developer experience\n   233→\n   234→- **AI agent guidelines**: Added documentation for AI coding agents (AGENTS.md, CLAUDE.md)\n   235→- **Example API payloads**: Added example JSON API payloads for testing\n   236→- **Unit tests**: Added more unit tests for NATS API, node repository, and other components\n   237→- **Test improvements**: Better test coverage; test DB is now copied before unit tests\n   238→  to avoid state pollution between test runs\n   239→- **Parquet writer tests**: Comprehensive tests for Parquet archive writing and conversion\n   240→\n   241→## Bug fixes\n   242→\n   243→- Fixed nodelist paging issues\n   244→- Fixed metric select drag and drop functionality\n   245→- Fixed render race conditions in nodeList\n   246→- Fixed tag count grouping including type\n   247→- Fixed wrong metricstore schema (missing comma)\n   248→- Fixed configuration issues causing shutdown hangs\n   249→- Fixed deadlock when NATS is not configured\n   250→- Fixed archive backend performance bugs\n   251→- Fixed continuous scroll buildup on refresh\n   252→- Improved footprint calculation logic\n   253→- Fixed polar plot data query decoupling\n   254→- Fixed missing resolution parameter handling\n   255→- Fixed node table initialization fallback\n   256→- Fixed reactivity key placement in nodeList\n   257→- Fixed nodeList resolver data handling and increased nodestate filter cutoff\n   258→- Fixed job always being transferred to main job table before archiving\n   259→- Fixed AppTagger error handling and logging\n   260→- Fixed log endpoint formatting and correctness\n   261→- Fixed automatic refresh in metric status tab\n   262→- Fixed NULL value handling in `health_state` and `health_metrics` columns\n   263→- Fixed bugs related to `job_cache` IDs being used in the main job table\n   264→- Fixed SyncJobs bug causing start job hooks to be called with wrong (cache) IDs\n   265→- Fixed 404 handler route for sub-routers\n   266→\n   267→## Configuration changes\n   268→\n   269→### New configuration options\n   270→\n   271→```json\n   272→{\n   273→  \"main\": {\n   274→    \"enable-job-taggers\": true,\n   275→    \"resampling\": {\n   276→      \"minimum-points\": 600,\n   277→      \"trigger\": 180,\n   278→      \"resolutions\": [240, 60]\n   279→    },\n   280→    \"api-subjects\": {\n   281→      \"subject-job-event\": \"cc.job.event\",\n   282→      \"subject-node-state\": \"cc.node.state\"\n   283→    }\n   284→  },\n   285→  \"nats\": {\n   286→    \"address\": \"nats://0.0.0.0:4222\",\n   287→    \"username\": \"root\",\n   288→    \"password\": \"root\"\n   289→  },\n   290→  \"cron\": {\n   291→    \"commit-job-worker\": \"1m\",\n   292→    \"duration-worker\": \"5m\",\n   293→    \"footprint-worker\": \"10m\"\n   294→  },\n   295→  \"metric-store\": {\n   296→    \"cleanup\": {\n   297→      \"mode\": \"archive\",\n   298→      \"interval\": \"48h\",\n   299→      \"directory\": \"./var/archive\"\n   300→    }\n   301→  },\n   302→  \"archive\": {\n   303→    \"retention\": {\n   304→      \"policy\": \"delete\",\n   305→      \"age\": \"6months\",\n   306→      \"target-format\": \"parquet\"\n   307→    }\n   308→  },\n   309→  \"nodestate\": {\n   310→    \"retention\": {\n   311→      \"policy\": \"archive\",\n   312→      \"age\": \"30d\",\n   313→      \"archive-path\": \"./var/nodestate-archive\"\n   314→    }\n   315→  }\n   316→}\n   317→```\n   318→\n   319→## Migration notes\n   320→\n   321→- Review and update your `config.json` to use kebab-case attribute names\n   322→- If using NATS, configure the new `nats` and `api-subjects` sections\n   323→- If using S3 archive backend, configure the new `archive` section options\n   324→- Test the new public dashboard at `/public` route\n   325→- Review cron worker configuration if you need different frequencies\n   326→- If using the archive retention feature, configure the `target-format` option\n   327→  to choose between `json` (default) and `parquet` output formats\n   328→- Consider enabling nodestate retention if you track node states over time\n   329→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"a98a7e5a-3e77-46a6-b65b-31b9b0e931ea","timestamp":"2026-03-18T04:27:17.541Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/ReleaseNotes.md","content":"# `cc-backend` version 1.5.2\n\nSupports job archive version 3 and database version 11.\n\nThis is a bugfix release of `cc-backend`, the API backend and frontend\nimplementation of ClusterCockpit.\nFor release specific notes visit the [ClusterCockpit Documentation](https://clusterockpit.org/docs/release/).\nIf you are upgrading from v1.5.0 you need to do another DB migration. This\nshould not take long. For optimal database performance after the migration it is\nrecommended to apply the new `optimize-db` flag, which runs the sqlite `ANALYZE`\nand `VACUUM` commands. Depending on your database size (more then 40GB) the\n`VACUUM` may take up to 2h.\n\n## Known issues\n\n- The new dynamic memory management is not bullet proof yet across restarts.\n  Buffers that are kept outside the retention period may be lost across a\n  restart. We will fix that in a subsequent patch release.\n- To use the new log viewer (which is only working when starting cc-backend with\n  systemd) in the admin interface the user under which the cc-backend process is\n  running has to be allowed to execute the journalctl command.\n- The user configuration keys for the ui have changed. Therefore old user\n  configuration persisted in the database is not used anymore. It is recommended\n  to configure the metrics shown in the ui-config sestion and remove all records\n  in the table after the update.\n- Currently energy footprint metrics of type energy are ignored for calculating\n  total energy.\n- With energy footprint metrics of type power the unit is ignored and it is\n  assumed the metric has the unit Watt.\n\n## Changes in 1.5.1\n\n### Database\n\n- **New migration (version 11)**: Optimized database index count and added covering indexes for stats queries for significantly improved query performance\n- **Migration 9 fix**: Removed redundant indices from migration 9 that are superseded by migration 11\n- **Optional DB optimization flag**: Added `-optimize-db` CLI flag to run `ANALYZE` on demand; removed automatic ANALYZE on startup\n- **Selective stats queries**: Stats queries are now selective, reducing unnecessary computation\n- **User list paging**: Added paging support to the user list for better scalability\n- **SQLite configuration hardening**: Sanitized SQLite configuration with new configurable options; fixes large heap allocations in the SQLite driver\n- **Query cancellation**: Long-running database queries can now be cancelled\n- **Resource leak fix**: Added missing `defer Close()` calls for all query result sets\n\n### Bug fixes\n\n- **Segfault when taggers misconfigured**: Fixed crash when `enable-job-taggers` is set but tagger rule directories are missing\n- **GroupBy stats query complexity**: Reduced complexity for `groupBy` statistics queries\n- **Ranged filter conditions**: Fixed GT and LT conditions in ranged filters\n- **Energy filter preset**: Reduced energy filter preset to a more practical default\n- **JSON validity check**: Fixed wrong field being checked for JSON validity\n- **Tagger float rounding**: Fixed rounding of floats in tagger messages\n- **Node view null safety**: Added null-safe checks in node view to prevent runtime errors\n- **Public dashboard null safety**: Added null-safe checks in the public dashboard to prevent runtime errors\n\n### Frontend\n\n- **Bumped patch versions**: Updated frontend dependencies to latest patch versions\n\n### Documentation\n\n- **New DB config options**: Added new database configuration options to README\n\n---\n\n_The sections below document all features and changes introduced in the 1.5.0 major release, which 1.5.1 is based on._\n\n## Breaking changes\n\n### Configuration changes\n\n- **JSON attribute naming**: All JSON configuration attributes now use `kebab-case`\n  style consistently (e.g., `api-allowed-ips` instead of `apiAllowedIPs`).\n  Update your `config.json` accordingly.\n- **Removed `disable-archive` option**: This obsolete configuration option has been removed.\n- **Removed `clusters` config section**: The separate clusters configuration section\n  has been removed. Cluster information is now derived from the job archive.\n- **`apiAllowedIPs` is now optional**: If not specified, defaults to not\n  restricted.\n\n### Architecture changes\n\n- **Web framework replaced**: Migrated from `gorilla/mux` to `chi` as the HTTP\n  router. This should be transparent to users but affects how middleware and\n  routes are composed. A proper 404 handler is now in place.\n- **MetricStore moved**: The `metricstore` package has been moved from `internal/`\n  to `pkg/` as it is now part of the public API.\n- **MySQL/MariaDB support removed**: Only SQLite is now supported as the database backend.\n- **Archive to Cleanup renaming**: Archive-related functions have been refactored\n  and renamed to \"Cleanup\" for clarity.\n- **`minRunningFor` filter removed**: This undocumented filter has been removed\n  from the API and frontend.\n\n### Dependency changes\n\n- **cc-lib v2.8.0**: Switched to cc-lib version 2 with updated APIs\n- **cclib NATS client**: Now using the cclib NATS client implementation\n- Removed obsolete `util.Float` usage from cclib\n\n## Major new features\n\n### NATS API Integration\n\n- **Real-time job events**: Subscribe to job start/stop events via NATS\n- **Node state updates**: Receive real-time node state changes via NATS\n- **Configurable subjects**: NATS API subjects are now configurable via `api-subjects`\n- **Deadlock fixes**: Improved NATS client stability and graceful shutdown\n\n### Public Dashboard\n\n- **Public-facing interface**: New public dashboard route for external users\n- **DoubleMetricPlot component**: New visualization component for comparing metrics\n- **Improved layout**: Reviewed and optimized dashboard layouts for better readability\n\n### Enhanced Node Management\n\n- **Node state tracking**: New node table in database with timestamp tracking\n- **Node state filtering**: Filter jobs by node state in systems view\n- **Node list enhancements**: Improved paging, filtering, and continuous scroll support\n- **Nodestate retention and archiving**: Node state data is now subject to configurable\n  retention policies and can be archived to Parquet format for long-term storage\n- **Faulty node metric tracking**: Faulty node state metric lists are persisted to the database\n\n### Health Monitoring\n\n- **Health status dashboard**: New dedicated \"Health\" tab in the status details view\n  showing per-node metric health across the cluster\n- **CCMS health check**: Support for querying health status of external\n  cc-metric-store (CCMS) instances via the API\n- **GraphQL health endpoints**: New GraphQL queries and resolvers for health data\n- **Cluster/subcluster filter**: Filter health status view by cluster or subcluster\n\n### Log Viewer\n\n- **Web-based log viewer**: New log viewer page in the admin interface for inspecting\n  backend log output directly from the browser without shell access\n- **Accessible from header**: Quick access link from the navigation header\n\n### MetricStore Improvements\n\n- **Memory tracking worker**: New worker for CCMS memory usage tracking\n- **Dynamic retention**: Support for job specific dynamic retention times\n- **Improved compression**: Transparent compression for job archive imports\n- **Parallel processing**: Parallelized Iter function in all archive backends\n\n### Job Tagging System\n\n- **Job tagger option**: Enable automatic job tagging via configuration flag\n- **Application detection**: Automatic detection of applications (MATLAB, GROMACS, etc.)\n- **Job classification**: Automatic detection of pathological jobs\n- **omit-tagged**: Option to exclude tagged jobs from retention/cleanup operations (`none`, `all`, or `user`)\n- **Admin UI trigger**: Taggers can be run on-demand from the admin web interface\n  without restarting the backend\n\n### Archive Backends\n\n- **Parquet archive format**: New Parquet file format for job archiving, providing\n  columnar storage with efficient compression for analytical workloads\n- **S3 backend**: Full support for S3-compatible object storage\n- **SQLite backend**: Full support for SQLite backend using blobs\n- **Performance improvements**: Fixed performance bugs in archive backends\n- **Better error handling**: Improved error messages and fallback handling\n- **Zstd compression**: Parquet writers use zstd compression for better\n  compression ratios compared to the previous snappy default\n- **Optimized sort order**: Job and nodestate Parquet files are sorted by\n  cluster, subcluster, and start time for efficient range queries\n\n### Unified Archive Retention and Format Conversion\n\n- **Uniform retention policy**: Job archive retention now supports both JSON and\n  Parquet as target formats under a single, consistent policy configuration\n- **Archive manager tool**: The `tools/archive-manager` utility now supports\n  format conversion between JSON and Parquet job archives\n- **Parquet reader**: Full Parquet archive reader implementation for reading back\n  archived job data\n\n## New features and improvements\n\n### Frontend\n\n- **Loading indicators**: Added loading indicators to status detail and job lists\n- **Job info layout**: Reviewed and improved job info row layout\n- **Metric selection**: Enhanced metric selection with drag-and-drop fixes\n- **Filter presets**: Move list filter preset to URL for easy sharing\n- **Job comparison**: Improved job comparison views and plots\n- **Subcluster reactivity**: Job list now reacts to subcluster filter changes\n- **Short jobs quick selection**: New \"Short jobs\" quick-filter button in job lists\n  replaces the removed undocumented `minRunningFor` filter\n- **Row plot cursor sync**: Cursor position is now synchronized across all metric\n  plots in a job list row for easier cross-metric comparison\n- **Disabled metrics handling**: Improved handling and display of disabled metrics\n  across job view, node view, and list rows\n- **\"Not configured\" info cards**: Informational cards shown when optional features\n  are not yet configured\n- **Frontend dependencies**: Bumped frontend dependencies to latest versions\n- **Svelte 5 compatibility**: Fixed Svelte state warnings and compatibility issues\n\n### Backend\n\n- **Progress bars**: Import function now shows progress during long operations\n- **Better logging**: Improved logging with appropriate log levels throughout\n- **Graceful shutdown**: Fixed shutdown timeout bugs and hanging issues\n- **Configuration defaults**: Sensible defaults for most configuration options\n- **Documentation**: Extensive documentation improvements across packages\n- **Server flag in systemd unit**: Example systemd unit now includes the `-server` flag\n\n### Security\n\n- **LDAP security hardening**: Improved input validation, connection handling, and\n  error reporting in the LDAP authenticator\n- **OIDC security hardening**: Stricter token validation and improved error handling\n  in the OIDC authenticator\n- **Auth schema extensions**: Additional schema fields for improved auth configuration\n\n### API improvements\n\n- **Role-based metric visibility**: Metrics can now have role-based access control\n- **Job exclusivity filter**: New filter for exclusive vs. shared jobs\n- **Improved error messages**: Better error messages and documentation in REST API\n- **GraphQL enhancements**: Improved GraphQL queries and resolvers\n- **Stop job lookup order**: Reversed lookup order in stop job requests for\n  more reliable job matching (cluster+jobId first, then jobId alone)\n\n### Performance\n\n- **Database indices**: Optimized SQLite indices for better query performance\n- **Job cache**: Introduced caching table for faster job inserts\n- **Parallel imports**: Archive imports now run in parallel where possible\n- **External tool integration**: Optimized use of external tools (fd) for better performance\n- **Node repository queries**: Reviewed and optimized node repository SQL queries\n- **Buffer pool**: Resized and pooled internal buffers for better memory reuse\n\n### Developer experience\n\n- **AI agent guidelines**: Added documentation for AI coding agents (AGENTS.md, CLAUDE.md)\n- **Example API payloads**: Added example JSON API payloads for testing\n- **Unit tests**: Added more unit tests for NATS API, node repository, and other components\n- **Test improvements**: Better test coverage; test DB is now copied before unit tests\n  to avoid state pollution between test runs\n- **Parquet writer tests**: Comprehensive tests for Parquet archive writing and conversion\n\n## Bug fixes\n\n- Fixed nodelist paging issues\n- Fixed metric select drag and drop functionality\n- Fixed render race conditions in nodeList\n- Fixed tag count grouping including type\n- Fixed wrong metricstore schema (missing comma)\n- Fixed configuration issues causing shutdown hangs\n- Fixed deadlock when NATS is not configured\n- Fixed archive backend performance bugs\n- Fixed continuous scroll buildup on refresh\n- Improved footprint calculation logic\n- Fixed polar plot data query decoupling\n- Fixed missing resolution parameter handling\n- Fixed node table initialization fallback\n- Fixed reactivity key placement in nodeList\n- Fixed nodeList resolver data handling and increased nodestate filter cutoff\n- Fixed job always being transferred to main job table before archiving\n- Fixed AppTagger error handling and logging\n- Fixed log endpoint formatting and correctness\n- Fixed automatic refresh in metric status tab\n- Fixed NULL value handling in `health_state` and `health_metrics` columns\n- Fixed bugs related to `job_cache` IDs being used in the main job table\n- Fixed SyncJobs bug causing start job hooks to be called with wrong (cache) IDs\n- Fixed 404 handler route for sub-routers\n\n## Configuration changes\n\n### New configuration options\n\n```json\n{\n  \"main\": {\n    \"enable-job-taggers\": true,\n    \"resampling\": {\n      \"minimum-points\": 600,\n      \"trigger\": 180,\n      \"resolutions\": [240, 60]\n    },\n    \"api-subjects\": {\n      \"subject-job-event\": \"cc.job.event\",\n      \"subject-node-state\": \"cc.node.state\"\n    }\n  },\n  \"nats\": {\n    \"address\": \"nats://0.0.0.0:4222\",\n    \"username\": \"root\",\n    \"password\": \"root\"\n  },\n  \"cron\": {\n    \"commit-job-worker\": \"1m\",\n    \"duration-worker\": \"5m\",\n    \"footprint-worker\": \"10m\"\n  },\n  \"metric-store\": {\n    \"cleanup\": {\n      \"mode\": \"archive\",\n      \"interval\": \"48h\",\n      \"directory\": \"./var/archive\"\n    }\n  },\n  \"archive\": {\n    \"retention\": {\n      \"policy\": \"delete\",\n      \"age\": \"6months\",\n      \"target-format\": \"parquet\"\n    }\n  },\n  \"nodestate\": {\n    \"retention\": {\n      \"policy\": \"archive\",\n      \"age\": \"30d\",\n      \"archive-path\": \"./var/nodestate-archive\"\n    }\n  }\n}\n```\n\n## Migration notes\n\n- Review and update your `config.json` to use kebab-case attribute names\n- If using NATS, configure the new `nats` and `api-subjects` sections\n- If using S3 archive backend, configure the new `archive` section options\n- Test the new public dashboard at `/public` route\n- Review cron worker configuration if you need different frequencies\n- If using the archive retention feature, configure the `target-format` option\n  to choose between `json` (default) 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Increase sqlite timeout value\n    \n    Entire-Checkpoint: a1e2931d4deb\n\n internal/api/nats.go                | 26 +++++++++++---\n internal/api/node.go                | 13 ++++---\n internal/auth/ldap.go               |  2 +-\n internal/repository/config.go       |  7 ++++\n internal/repository/dbConnection.go |  2 +-\n internal/repository/jobCreate.go    | 17 +++++++--\n internal/repository/node.go         | 71 +++++++++++++++++++++++++++++++++++++\n internal/repository/user.go         | 15 ++++++++\n pkg/archive/sqliteBackend.go        |  2 +-\n 9 files changed, 142 insertions(+), 13 deletions(-)\n---\ncommit 02f82c2c0bb0bf3cffa7704f267c24878f517128\nAuthor: Jan Eitzinger <jan@moebiusband.org>\nDate:   Wed Mar 18 05:08:37 2026 +0100\n\n    fix: Prevent memory spikes in parquet writer for  metricstore move policy\n    \n    Entire-Checkpoint: 4a675b8352a2\n\n pkg/metricstore/archive.go             |  57 +++++++++++++-----\n pkg/metricstore/parquetArchive.go      | 106 +++++++++++++++++++++++++++------\n pkg/metricstore/parquetArchive_test.go |  10 +++-\n 3 files changed, 139 insertions(+), 34 deletions(-)","is_error":false}]},"uuid":"791e9677-883e-4e5d-b6f0-5205c005aaa8","timestamp":"2026-03-18T04:27:44.281Z","toolUseResult":{"stdout":"commit 09d0ba71d23632ceae8e76e124769536fa1876a9\nAuthor: Jan Eitzinger <jan@moebiusband.org>\nDate:   Mon Mar 16 12:13:14 2026 +0100\n\n    Provide idential nodestate functionality in NATS API\n    \n    Entire-Checkpoint: 3a40b75edd68\n\n CLAUDE.md                 |  23 ++++++---\n internal/api/nats.go      | 121 ++++++++++++++++++++++++++++++++++++++--------\n internal/config/config.go |   2 +\n internal/config/schema.go |   8 +++\n 4 files changed, 128 insertions(+), 26 deletions(-)\n---\ncommit df93dbed6376f8cacd1d18e647a5691b3321ecd4\nAuthor: Jan Eitzinger <jan@moebiusband.org>\nDate:   Mon Mar 16 11:30:21 2026 +0100\n\n    Add busyTimeout config setting\n    \n    Entire-Checkpoint: 81097a6c52a2\n\n README.md                 | 4 +++-\n cmd/cc-backend/main.go    | 3 +++\n internal/config/config.go | 1 +\n internal/config/schema.go | 4 ++++\n 4 files changed, 11 insertions(+), 1 deletion(-)\n---\ncommit e4f3fa9ba0c8926b97c0150bb38f1acd09d0eb6f\nAuthor: Jan Eitzinger <jan@moebiusband.org>\nDate:   Mon Mar 16 11:25:49 2026 +0100\n\n    Wrap SyncJobs in transaction\n    \n    Entire-Checkpoint: d4f6c79a8dc1\n\n internal/repository/jobCreate.go | 14 ++++++++++++--\n 1 file changed, 12 insertions(+), 2 deletions(-)\n---\ncommit 51517f80314742186a41ceaa9d1f2b92aae66b43\nAuthor: Jan Eitzinger <jan@moebiusband.org>\nDate:   Mon Mar 16 11:17:47 2026 +0100\n\n    Reduce insert pressure in db. 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For optimal database performance after the migration it is\nrecommended to apply the new `optimize-db` flag, which runs the sqlite `ANALYZE`\nand `VACUUM` commands. Depending on your database size (more then 40GB) the\n`VACUUM` may take up to 2h.","newString":"# `cc-backend` version 1.5.2\n\nSupports job archive version 3 and database version 11.\n\nThis is a bugfix release of `cc-backend`, the API backend and frontend\nimplementation of ClusterCockpit.\nFor release specific notes visit the [ClusterCockpit Documentation](https://clusterockpit.org/docs/release/).\nIf you are upgrading from v1.5.1 no database migration is required.\nIf you are upgrading from v1.5.0 you need to do another DB migration. This\nshould not take long. For optimal database performance after the migration it is\nrecommended to apply the new `optimize-db` flag, which runs the sqlite `ANALYZE`\nand `VACUUM` commands. Depending on your database size (more then 40GB) the\n`VACUUM` may take up to 2h.\n\n## Changes in 1.5.2\n\n### Bug fixes\n\n- **Memory spike in parquet writer**: Fixed memory spikes when using the\n  metricstore move (archive) policy with the parquet writer. The writer now\n  processes data in a streaming fashion to avoid accumulating large allocations.\n\n### Database performance\n\n- **Reduced insert pressure**: Bulk insert operations (node state updates, user\n  and job cache syncs) now use explicit transactions and deferred inserts,\n  significantly reducing write contention on the SQLite database.\n- **SyncJobs wrapped in transaction**: `SyncJobs` now runs inside a transaction\n  for better consistency and reduced lock contention.\n- **Configurable busy timeout**: New `busy-timeout` configuration option for the\n  SQLite connection. This allows tuning how long the driver waits for a locked\n  database before returning an error, which improves resilience under concurrent\n  write load.\n- **Increased default SQLite timeout**: The default SQLite connection timeout\n  has been raised to reduce spurious timeout errors under load.\n\n### NATS API\n\n- **Nodestate health checks in NATS API**: The NATS node state handler now\n  performs the same metric health checks as the REST API handler, including\n  per-subcluster health checks and `MonitoringStateFailed` fallback for nodes\n  without health data.\n\n### Logging improvements\n\n- **Better error context**: Several repository functions now include the calling\n  function name in error messages for easier diagnosis.\n- **Reduced log noise**: `ErrNoRows` (no results found) is no longer logged as\n  an error in `scanRow`; common \"no rows\" paths are now silent.\n- **Debug-level missing metrics**: Warning about missing metrics in the metric\n  store has been downgraded to debug level to reduce log noise in normal\n  operation.\n- **Checkpoint archiving log**: Added an informational log message when the\n  metricstore checkpoint archiving process runs.\n\n### Dependencies\n\n- **cc-lib upgraded**: Updated to latest cc-lib version.","originalFile":"# `cc-backend` version 1.5.2\n\nSupports job archive version 3 and database version 11.\n\nThis is a bugfix release of `cc-backend`, the API backend and frontend\nimplementation of ClusterCockpit.\nFor release specific notes visit the [ClusterCockpit Documentation](https://clusterockpit.org/docs/release/).\nIf you are upgrading from v1.5.0 you need to do another DB migration. This\nshould not take long. For optimal database performance after the migration it is\nrecommended to apply the new `optimize-db` flag, which runs the sqlite `ANALYZE`\nand `VACUUM` commands. Depending on your database size (more then 40GB) the\n`VACUUM` may take up to 2h.\n\n## Known issues\n\n- The new dynamic memory management is not bullet proof yet across restarts.\n  Buffers that are kept outside the retention period may be lost across a\n  restart. We will fix that in a subsequent patch release.\n- To use the new log viewer (which is only working when starting cc-backend with\n  systemd) in the admin interface the user under which the cc-backend process is\n  running has to be allowed to execute the journalctl command.\n- The user configuration keys for the ui have changed. Therefore old user\n  configuration persisted in the database is not used anymore. It is recommended\n  to configure the metrics shown in the ui-config sestion and remove all records\n  in the table after the update.\n- Currently energy footprint metrics of type energy are ignored for calculating\n  total energy.\n- With energy footprint metrics of type power the unit is ignored and it is\n  assumed the metric has the unit Watt.\n\n## Changes in 1.5.1\n\n### Database\n\n- **New migration (version 11)**: Optimized database index count and added covering indexes for stats queries for significantly improved query performance\n- **Migration 9 fix**: Removed redundant indices from migration 9 that are superseded by migration 11\n- **Optional DB optimization flag**: Added `-optimize-db` CLI flag to run `ANALYZE` on demand; removed automatic ANALYZE on startup\n- **Selective stats queries**: Stats queries are now selective, reducing unnecessary computation\n- **User list paging**: Added paging support to the user list for better scalability\n- **SQLite configuration hardening**: Sanitized SQLite configuration with new configurable options; fixes large heap allocations in the SQLite driver\n- **Query cancellation**: Long-running database queries can now be cancelled\n- **Resource leak fix**: Added missing `defer Close()` calls for all query result sets\n\n### Bug fixes\n\n- **Segfault when taggers misconfigured**: Fixed crash when `enable-job-taggers` is set but tagger rule directories are missing\n- **GroupBy stats query complexity**: Reduced complexity for `groupBy` statistics queries\n- **Ranged filter conditions**: Fixed GT and LT conditions in ranged filters\n- **Energy filter preset**: Reduced energy filter preset to a more practical default\n- **JSON validity check**: Fixed wrong field being checked for JSON validity\n- **Tagger float rounding**: Fixed rounding of floats in tagger messages\n- **Node view null safety**: Added null-safe checks in node view to prevent runtime errors\n- **Public dashboard null safety**: Added null-safe checks in the public dashboard to prevent runtime errors\n\n### Frontend\n\n- **Bumped patch versions**: Updated frontend dependencies to latest patch versions\n\n### Documentation\n\n- **New DB config options**: Added new database configuration options to README\n\n---\n\n_The sections below document all features and changes introduced in the 1.5.0 major release, which 1.5.1 is based on._\n\n## Breaking changes\n\n### Configuration changes\n\n- **JSON attribute naming**: All JSON configuration attributes now use `kebab-case`\n  style consistently (e.g., `api-allowed-ips` instead of `apiAllowedIPs`).\n  Update your `config.json` accordingly.\n- **Removed `disable-archive` option**: This obsolete configuration option has been removed.\n- **Removed `clusters` config section**: The separate clusters configuration section\n  has been removed. Cluster information is now derived from the job archive.\n- **`apiAllowedIPs` is now optional**: If not specified, defaults to not\n  restricted.\n\n### Architecture changes\n\n- **Web framework replaced**: Migrated from `gorilla/mux` to `chi` as the HTTP\n  router. This should be transparent to users but affects how middleware and\n  routes are composed. A proper 404 handler is now in place.\n- **MetricStore moved**: The `metricstore` package has been moved from `internal/`\n  to `pkg/` as it is now part of the public API.\n- **MySQL/MariaDB support removed**: Only SQLite is now supported as the database backend.\n- **Archive to Cleanup renaming**: Archive-related functions have been refactored\n  and renamed to \"Cleanup\" for clarity.\n- **`minRunningFor` filter removed**: This undocumented filter has been removed\n  from the API and frontend.\n\n### Dependency changes\n\n- **cc-lib v2.8.0**: Switched to cc-lib version 2 with updated APIs\n- **cclib NATS client**: Now using the cclib NATS client implementation\n- Removed obsolete `util.Float` usage from cclib\n\n## Major new features\n\n### NATS API Integration\n\n- **Real-time job events**: Subscribe to job start/stop events via NATS\n- **Node state updates**: Receive real-time node state changes via NATS\n- **Configurable subjects**: NATS API subjects are now configurable via `api-subjects`\n- **Deadlock fixes**: Improved NATS client stability and graceful shutdown\n\n### Public Dashboard\n\n- **Public-facing interface**: New public dashboard route for external users\n- **DoubleMetricPlot component**: New visualization component for comparing metrics\n- **Improved layout**: Reviewed and optimized dashboard layouts for better readability\n\n### Enhanced Node Management\n\n- **Node state tracking**: New node table in database with timestamp tracking\n- **Node state filtering**: Filter jobs by node state in systems view\n- **Node list enhancements**: Improved paging, filtering, and continuous scroll support\n- **Nodestate retention and archiving**: Node state data is now subject to configurable\n  retention policies and can be archived to Parquet format for long-term storage\n- **Faulty node metric tracking**: Faulty node state metric lists are persisted to the database\n\n### Health Monitoring\n\n- **Health status dashboard**: New dedicated \"Health\" tab in the status details view\n  showing per-node metric health across the cluster\n- **CCMS health check**: Support for querying health status of external\n  cc-metric-store (CCMS) instances via the API\n- **GraphQL health endpoints**: New GraphQL queries and resolvers for health data\n- **Cluster/subcluster filter**: Filter health status view by cluster or subcluster\n\n### Log Viewer\n\n- **Web-based log viewer**: New log viewer page in the admin interface for inspecting\n  backend log output directly from the browser without shell access\n- **Accessible from header**: Quick access link from the navigation header\n\n### MetricStore Improvements\n\n- **Memory tracking worker**: New worker for CCMS memory usage tracking\n- **Dynamic retention**: Support for job specific dynamic retention times\n- **Improved compression**: Transparent compression for job archive imports\n- **Parallel processing**: Parallelized Iter function in all archive backends\n\n### Job Tagging System\n\n- **Job tagger option**: Enable automatic job tagging via configuration flag\n- **Application detection**: Automatic detection of applications (MATLAB, GROMACS, etc.)\n- **Job classification**: Automatic detection of pathological jobs\n- **omit-tagged**: Option to exclude tagged jobs from retention/cleanup operations (`none`, `all`, or `user`)\n- **Admin UI trigger**: Taggers can be run on-demand from the admin web interface\n  without restarting the backend\n\n### Archive Backends\n\n- **Parquet archive format**: New Parquet file format for job archiving, providing\n  columnar storage with efficient compression for analytical workloads\n- **S3 backend**: Full support for S3-compatible object storage\n- **SQLite backend**: Full support for SQLite backend using blobs\n- **Performance improvements**: Fixed performance bugs in archive backends\n- **Better error handling**: Improved error messages and fallback handling\n- **Zstd compression**: Parquet writers use zstd compression for better\n  compression ratios compared to the previous snappy default\n- **Optimized sort order**: Job and nodestate Parquet files are sorted by\n  cluster, subcluster, and start time for efficient range queries\n\n### Unified Archive Retention and Format Conversion\n\n- **Uniform retention policy**: Job archive retention now supports both JSON and\n  Parquet as target formats under a single, consistent policy configuration\n- **Archive manager tool**: The `tools/archive-manager` utility now supports\n  format conversion between JSON and Parquet job archives\n- **Parquet reader**: Full Parquet archive reader implementation for reading back\n  archived job data\n\n## New features and improvements\n\n### Frontend\n\n- **Loading indicators**: Added loading indicators to status detail and job lists\n- **Job info layout**: Reviewed and improved job info row layout\n- **Metric selection**: Enhanced metric selection with drag-and-drop fixes\n- **Filter presets**: Move list filter preset to URL for easy sharing\n- **Job comparison**: Improved job comparison views and plots\n- **Subcluster reactivity**: Job list now reacts to subcluster filter changes\n- **Short jobs quick selection**: New \"Short jobs\" quick-filter button in job lists\n  replaces the removed undocumented `minRunningFor` filter\n- **Row plot cursor sync**: Cursor position is now synchronized across all metric\n  plots in a job list row for easier cross-metric comparison\n- **Disabled metrics handling**: Improved handling and display of disabled metrics\n  across job view, node view, and list rows\n- **\"Not configured\" info cards**: Informational cards shown when optional features\n  are not yet configured\n- **Frontend dependencies**: Bumped frontend dependencies to latest versions\n- **Svelte 5 compatibility**: Fixed Svelte state warnings and compatibility issues\n\n### Backend\n\n- **Progress bars**: Import function now shows progress during long operations\n- **Better logging**: Improved logging with appropriate log levels throughout\n- **Graceful shutdown**: Fixed shutdown timeout bugs and hanging issues\n- **Configuration defaults**: Sensible defaults for most configuration options\n- **Documentation**: Extensive documentation improvements across packages\n- **Server flag in systemd unit**: Example systemd unit now includes the `-server` flag\n\n### Security\n\n- **LDAP security hardening**: Improved input validation, connection handling, and\n  error reporting in the LDAP authenticator\n- **OIDC security hardening**: Stricter token validation and improved error handling\n  in the OIDC authenticator\n- **Auth schema extensions**: Additional schema fields for improved auth configuration\n\n### API improvements\n\n- **Role-based metric visibility**: Metrics can now have role-based access control\n- **Job exclusivity filter**: New filter for exclusive vs. shared jobs\n- **Improved error messages**: Better error messages and documentation in REST API\n- **GraphQL enhancements**: Improved GraphQL queries and resolvers\n- **Stop job lookup order**: Reversed lookup order in stop job requests for\n  more reliable job matching (cluster+jobId first, then jobId alone)\n\n### Performance\n\n- **Database indices**: Optimized SQLite indices for better query performance\n- **Job cache**: Introduced caching table for faster job inserts\n- **Parallel imports**: Archive imports now run in parallel where possible\n- **External tool integration**: Optimized use of external tools (fd) for better performance\n- **Node repository queries**: Reviewed and optimized node repository SQL queries\n- **Buffer pool**: Resized and pooled internal buffers for better memory reuse\n\n### Developer experience\n\n- **AI agent guidelines**: Added documentation for AI coding agents (AGENTS.md, CLAUDE.md)\n- **Example API payloads**: Added example JSON API payloads for testing\n- **Unit tests**: Added more unit tests for NATS API, node repository, and other components\n- **Test improvements**: Better test coverage; test DB is now copied before unit tests\n  to avoid state pollution between test runs\n- **Parquet writer tests**: Comprehensive tests for Parquet archive writing and conversion\n\n## Bug fixes\n\n- Fixed nodelist paging issues\n- Fixed metric select drag and drop functionality\n- Fixed render race conditions in nodeList\n- Fixed tag count grouping including type\n- Fixed wrong metricstore schema (missing comma)\n- Fixed configuration issues causing shutdown hangs\n- Fixed deadlock when NATS is not configured\n- Fixed archive backend performance bugs\n- Fixed continuous scroll buildup on refresh\n- Improved footprint calculation logic\n- Fixed polar plot data query decoupling\n- Fixed missing resolution parameter handling\n- Fixed node table initialization fallback\n- Fixed reactivity key placement in nodeList\n- Fixed nodeList resolver data handling and increased nodestate filter cutoff\n- Fixed job always being transferred to main job table before archiving\n- Fixed AppTagger error handling and logging\n- Fixed log endpoint formatting and correctness\n- Fixed automatic refresh in metric status tab\n- Fixed NULL value handling in `health_state` and `health_metrics` columns\n- Fixed bugs related to `job_cache` IDs being used in the main job table\n- Fixed SyncJobs bug causing start job hooks to be called with wrong (cache) IDs\n- Fixed 404 handler route for sub-routers\n\n## Configuration changes\n\n### New configuration options\n\n```json\n{\n  \"main\": {\n    \"enable-job-taggers\": true,\n    \"resampling\": {\n      \"minimum-points\": 600,\n      \"trigger\": 180,\n      \"resolutions\": [240, 60]\n    },\n    \"api-subjects\": {\n      \"subject-job-event\": \"cc.job.event\",\n      \"subject-node-state\": \"cc.node.state\"\n    }\n  },\n  \"nats\": {\n    \"address\": \"nats://0.0.0.0:4222\",\n    \"username\": \"root\",\n    \"password\": \"root\"\n  },\n  \"cron\": {\n    \"commit-job-worker\": \"1m\",\n    \"duration-worker\": \"5m\",\n    \"footprint-worker\": \"10m\"\n  },\n  \"metric-store\": {\n    \"cleanup\": {\n      \"mode\": \"archive\",\n      \"interval\": \"48h\",\n      \"directory\": \"./var/archive\"\n    }\n  },\n  \"archive\": {\n    \"retention\": {\n      \"policy\": \"delete\",\n      \"age\": \"6months\",\n      \"target-format\": \"parquet\"\n    }\n  },\n  \"nodestate\": {\n    \"retention\": {\n      \"policy\": \"archive\",\n      \"age\": \"30d\",\n      \"archive-path\": \"./var/nodestate-archive\"\n    }\n  }\n}\n```\n\n## Migration notes\n\n- Review and update your `config.json` to use kebab-case attribute names\n- If using NATS, configure the new `nats` and `api-subjects` sections\n- If using S3 archive backend, configure the new `archive` section options\n- Test the new public dashboard at `/public` route\n- Review cron worker configuration if you need different frequencies\n- If using the archive retention feature, configure the `target-format` option\n  to choose between `json` (default) and `parquet` output formats\n- Consider enabling nodestate retention if you track node states over time\n","structuredPatch":[{"oldStart":5,"oldLines":12,"newStart":5,"newLines":58,"lines":[" This is a bugfix release of `cc-backend`, the API backend and frontend"," implementation of ClusterCockpit."," For release specific notes visit the [ClusterCockpit Documentation](https://clusterockpit.org/docs/release/).","+If you are upgrading from v1.5.1 no database migration is required."," If you are upgrading from v1.5.0 you need to do another DB migration. 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The writer now","+  processes data in a streaming fashion to avoid accumulating large allocations.","+","+### Database performance","+","+- **Reduced insert pressure**: Bulk insert operations (node state updates, user","+  and job cache syncs) now use explicit transactions and deferred inserts,","+  significantly reducing write contention on the SQLite database.","+- **SyncJobs wrapped in transaction**: `SyncJobs` now runs inside a transaction","+  for better consistency and reduced lock contention.","+- **Configurable busy timeout**: New `busy-timeout` configuration option for the","+  SQLite connection. This allows tuning how long the driver waits for a locked","+  database before returning an error, which improves resilience under concurrent","+  write load.","+- **Increased default SQLite timeout**: The default SQLite connection timeout","+  has been raised to reduce spurious timeout errors under load.","+","+### NATS API","+","+- **Nodestate health checks in NATS API**: The NATS node state handler now","+  performs the same metric health checks as the REST API handler, including","+  per-subcluster health checks and `MonitoringStateFailed` fallback for nodes","+  without health data.","+","+### Logging improvements","+","+- **Better error context**: Several repository functions now include the calling","+  function name in error messages for easier diagnosis.","+- **Reduced log noise**: `ErrNoRows` (no results found) is no longer logged as","+  an error in `scanRow`; common \"no rows\" paths are now silent.","+- **Debug-level missing metrics**: Warning about missing metrics in the metric","+  store has been downgraded to debug level to reduce log noise in normal","+  operation.","+- **Checkpoint archiving log**: Added an informational log message when the","+  metricstore checkpoint archiving process runs.","+","+### Dependencies","+","+- **cc-lib upgraded**: Updated to latest cc-lib version.","+"," ## Known issues"," "," - The new dynamic memory management is not bullet proof yet across restarts."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"84edc4fb-a3ca-428f-849e-24450a793f7c","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"284abc67-beff-46df-96fe-114f86af5646","version":"2.1.78","gitBranch":"hotfix","slug":"expressive-weaving-tarjan"}
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diff --git a/92/86f4c43ab5/0/metadata.json b/92/86f4c43ab5/0/metadata.json
new file mode 100644
index 00000000..fe2917e4
--- /dev/null
+++ b/92/86f4c43ab5/0/metadata.json
@@ -0,0 +1,35 @@
+{
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+  "checkpoint_id": "9286f4c43ab5",
+  "session_id": "284abc67-beff-46df-96fe-114f86af5646",
+  "strategy": "manual-commit",
+  "created_at": "2026-03-18T04:31:49.333149Z",
+  "branch": "hotfix",
+  "checkpoints_count": 1,
+  "files_touched": [
+    "Makefile",
+    "ReleaseNotes.md"
+  ],
+  "agent": "Claude Code",
+  "model": "claude-opus-4-6[1m]",
+  "turn_id": "1487697cc28a",
+  "token_usage": {
+    "input_tokens": 7,
+    "cache_creation_tokens": 23387,
+    "cache_read_tokens": 105663,
+    "output_tokens": 3500,
+    "api_call_count": 5
+  },
+  "session_metrics": {
+    "turn_count": 1
+  },
+  "initial_attribution": {
+    "calculated_at": "2026-03-18T04:31:49.285884Z",
+    "agent_lines": 44,
+    "human_added": 0,
+    "human_modified": 2,
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diff --git a/92/86f4c43ab5/0/prompt.txt b/92/86f4c43ab5/0/prompt.txt
new file mode 100644
index 00000000..d530cbb0
--- /dev/null
+++ b/92/86f4c43ab5/0/prompt.txt
@@ -0,0 +1 @@
+Analyze the changes from the last release and add a description of the upcoming release.
\ No newline at end of file
diff --git a/92/86f4c43ab5/metadata.json b/92/86f4c43ab5/metadata.json
new file mode 100644
index 00000000..0d35320b
--- /dev/null
+++ b/92/86f4c43ab5/metadata.json
@@ -0,0 +1,26 @@
+{
+  "cli_version": "0.5.0",
+  "checkpoint_id": "9286f4c43ab5",
+  "strategy": "manual-commit",
+  "branch": "hotfix",
+  "checkpoints_count": 1,
+  "files_touched": [
+    "Makefile",
+    "ReleaseNotes.md"
+  ],
+  "sessions": [
+    {
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+      "transcript": "/92/86f4c43ab5/0/full.jsonl",
+      "content_hash": "/92/86f4c43ab5/0/content_hash.txt",
+      "prompt": "/92/86f4c43ab5/0/prompt.txt"
+    }
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+}
diff --git a/92/c797737df8/0/content_hash.txt b/92/c797737df8/0/content_hash.txt
new file mode 100644
index 00000000..e15f7411
--- /dev/null
+++ b/92/c797737df8/0/content_hash.txt
@@ -0,0 +1 @@
+sha256:aa25d7aa5ea392897b757241723b8e6a259972d8d49d823d4d334df5a5f78541
\ No newline at end of file
diff --git a/92/c797737df8/0/full.jsonl b/92/c797737df8/0/full.jsonl
new file mode 100644
index 00000000..59fd4b90
--- /dev/null
+++ b/92/c797737df8/0/full.jsonl
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+{"parentUuid":"c9799028-35c4-4f6e-baaa-415c852e0241","isSidechain":false,"type":"user","message":{"role":"user","content":"<local-command-stdout>Set model to \u001b[1mSonnet 4.6 (default)\u001b[22m</local-command-stdout>"},"uuid":"e54a134f-6afa-453c-a84b-c5b6f5b59bc0","timestamp":"2026-03-18T09:53:25.870Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"020fd1ca-672d-4980-ada9-2ebe18ec52db","version":"2.1.78","gitBranch":"hotfix"}
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+{"parentUuid":"31853fd6-a3e4-425f-9453-9ad125e06533","isSidechain":false,"promptId":"f9838e86-7716-4bfa-87ac-5b7b562fe13a","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01W5fTQ8y83vSFmETVB7R2Bc","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"fmt\"\n    10→\t\"maps\"\n    11→\t\"net/http\"\n    12→\t\"strings\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→)\n    22→\n    23→type UpdateNodeStatesRequest struct {\n    24→\tNodes   []schema.NodePayload `json:\"nodes\"`\n    25→\tCluster string               `json:\"cluster\" example:\"fritz\"`\n    26→}\n    27→\n    28→// metricListToNames converts a map of metric configurations to a list of metric names\n    29→func metricListToNames(metricList map[string]*schema.Metric) []string {\n    30→\tnames := make([]string, 0, len(metricList))\n    31→\tfor name := range metricList {\n    32→\t\tnames = append(names, name)\n    33→\t}\n    34→\treturn names\n    35→}\n    36→\n    37→// this routine assumes that only one of them exists per node\n    38→func determineState(states []string) schema.SchedulerState {\n    39→\tfor _, state := range states {\n    40→\t\tswitch strings.ToLower(state) {\n    41→\t\tcase \"allocated\":\n    42→\t\t\treturn schema.NodeStateAllocated\n    43→\t\tcase \"reserved\":\n    44→\t\t\treturn schema.NodeStateReserved\n    45→\t\tcase \"idle\":\n    46→\t\t\treturn schema.NodeStateIdle\n    47→\t\tcase \"down\":\n    48→\t\t\treturn schema.NodeStateDown\n    49→\t\tcase \"mixed\":\n    50→\t\t\treturn schema.NodeStateMixed\n    51→\t\t}\n    52→\t}\n    53→\n    54→\treturn schema.NodeStateUnknown\n    55→}\n    56→\n    57→// updateNodeStates godoc\n    58→// @summary     Deliver updated Slurm node states\n    59→// @tags Nodestates\n    60→// @description Returns a JSON-encoded list of users.\n    61→// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n    62→// @produce     json\n    63→// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n    64→// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n    65→// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n    66→// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n    67→// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n    68→// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n    69→// @security    ApiKeyAuth\n    70→// @router      /api/nodestats/ [post]\n    71→func (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n    72→\t// Parse request body\n    73→\treq := UpdateNodeStatesRequest{}\n    74→\tif err := decode(r.Body, &req); err != nil {\n    75→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n    76→\t\t\thttp.StatusBadRequest, rw)\n    77→\t\treturn\n    78→\t}\n    79→\trequestReceived := time.Now().Unix()\n    80→\trepo := repository.GetNodeRepository()\n    81→\n    82→\tm := make(map[string][]string)\n    83→\tmetricNames := make(map[string][]string)\n    84→\thealthResults := make(map[string]metricstore.HealthCheckResult)\n    85→\n    86→\tstartMs := time.Now()\n    87→\n    88→\t// Step 1: Build nodeList and metricList per subcluster\n    89→\tfor _, node := range req.Nodes {\n    90→\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n    91→\t\t\tm[sc] = append(m[sc], node.Hostname)\n    92→\t\t}\n    93→\t}\n    94→\n    95→\tfor sc := range m {\n    96→\t\tif sc != \"\" {\n    97→\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n    98→\t\t\tmetricNames[sc] = metricListToNames(metricList)\n    99→\t\t}\n   100→\t}\n   101→\n   102→\t// Step 2: Determine which metric store to query and perform health check\n   103→\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n   104→\tif err != nil {\n   105→\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n   106→\t} else {\n   107→\t\tfor sc, nl := range m {\n   108→\t\t\tif sc != \"\" {\n   109→\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n   110→\t\t\t\t\tmaps.Copy(healthResults, results)\n   111→\t\t\t\t}\n   112→\t\t\t}\n   113→\t\t}\n   114→\t}\n   115→\n   116→\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n   117→\tstartDB := time.Now()\n   118→\n   119→\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n   120→\tfor _, node := range req.Nodes {\n   121→\t\tstate := determineState(node.States)\n   122→\t\thealthState := schema.MonitoringStateFailed\n   123→\t\tvar healthMetrics string\n   124→\t\tif result, ok := healthResults[node.Hostname]; ok {\n   125→\t\t\thealthState = result.State\n   126→\t\t\thealthMetrics = result.HealthMetrics\n   127→\t\t}\n   128→\t\tnodeState := schema.NodeStateDB{\n   129→\t\t\tTimeStamp:       requestReceived,\n   130→\t\t\tNodeState:       state,\n   131→\t\t\tCpusAllocated:   node.CpusAllocated,\n   132→\t\t\tMemoryAllocated: node.MemoryAllocated,\n   133→\t\t\tGpusAllocated:   node.GpusAllocated,\n   134→\t\t\tHealthState:     healthState,\n   135→\t\t\tHealthMetrics:   healthMetrics,\n   136→\t\t\tJobsRunning:     node.JobsRunning,\n   137→\t\t}\n   138→\t\tupdates = append(updates, repository.NodeStateUpdate{\n   139→\t\t\tHostname:  node.Hostname,\n   140→\t\t\tCluster:   req.Cluster,\n   141→\t\t\tNodeState: &nodeState,\n   142→\t\t})\n   143→\t}\n   144→\n   145→\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n   146→\t\tcclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n   147→\t}\n   148→\n   149→\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n   150→}\n   151→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"bccb5d2c-3294-41bf-ae94-140df4ceee6d","timestamp":"2026-03-18T09:54:48.381Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"fmt\"\n\t\"maps\"\n\t\"net/http\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\ntype UpdateNodeStatesRequest struct {\n\tNodes   []schema.NodePayload `json:\"nodes\"`\n\tCluster string               `json:\"cluster\" example:\"fritz\"`\n}\n\n// metricListToNames converts a map of metric configurations to a list of metric names\nfunc metricListToNames(metricList map[string]*schema.Metric) []string {\n\tnames := make([]string, 0, len(metricList))\n\tfor name := range metricList {\n\t\tnames = append(names, name)\n\t}\n\treturn names\n}\n\n// this routine assumes that only one of them exists per node\nfunc determineState(states []string) schema.SchedulerState {\n\tfor _, state := range states {\n\t\tswitch strings.ToLower(state) {\n\t\tcase \"allocated\":\n\t\t\treturn schema.NodeStateAllocated\n\t\tcase \"reserved\":\n\t\t\treturn schema.NodeStateReserved\n\t\tcase \"idle\":\n\t\t\treturn schema.NodeStateIdle\n\t\tcase \"down\":\n\t\t\treturn schema.NodeStateDown\n\t\tcase \"mixed\":\n\t\t\treturn schema.NodeStateMixed\n\t\t}\n\t}\n\n\treturn schema.NodeStateUnknown\n}\n\n// updateNodeStates godoc\n// @summary     Deliver updated Slurm node states\n// @tags Nodestates\n// @description Returns a JSON-encoded list of users.\n// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n// @produce     json\n// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/nodestats/ [post]\nfunc (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n\t// Parse request body\n\treq := UpdateNodeStatesRequest{}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n\t\t\thttp.StatusBadRequest, rw)\n\t\treturn\n\t}\n\trequestReceived := time.Now().Unix()\n\trepo := repository.GetNodeRepository()\n\n\tm := make(map[string][]string)\n\tmetricNames := make(map[string][]string)\n\thealthResults := make(map[string]metricstore.HealthCheckResult)\n\n\tstartMs := time.Now()\n\n\t// Step 1: Build nodeList and metricList per subcluster\n\tfor _, node := range req.Nodes {\n\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n\t\t\tm[sc] = append(m[sc], node.Hostname)\n\t\t}\n\t}\n\n\tfor sc := range m {\n\t\tif sc != \"\" {\n\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n\t\t\tmetricNames[sc] = metricListToNames(metricList)\n\t\t}\n\t}\n\n\t// Step 2: Determine which metric store to query and perform health check\n\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n\tif err != nil {\n\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n\t} else {\n\t\tfor sc, nl := range m {\n\t\t\tif sc != \"\" {\n\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n\t\t\t\t\tmaps.Copy(healthResults, results)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     healthState,\n\t\t\tHealthMetrics:   healthMetrics,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n}\n","numLines":151,"startLine":1,"totalLines":151}},"sourceToolAssistantUUID":"31853fd6-a3e4-425f-9453-9ad125e06533","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"020fd1ca-672d-4980-ada9-2ebe18ec52db","version":"2.1.78","gitBranch":"hotfix","slug":"glimmering-swimming-pie"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"fmt\"\n\t\"maps\"\n\t\"net/http\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\ntype UpdateNodeStatesRequest struct {\n\tNodes   []schema.NodePayload `json:\"nodes\"`\n\tCluster string               `json:\"cluster\" example:\"fritz\"`\n}\n\n// metricListToNames converts a map of metric configurations to a list of metric names\nfunc metricListToNames(metricList map[string]*schema.Metric) []string {\n\tnames := make([]string, 0, len(metricList))\n\tfor name := range metricList {\n\t\tnames = append(names, name)\n\t}\n\treturn names\n}\n\n// this routine assumes that only one of them exists per node\nfunc determineState(states []string) schema.SchedulerState {\n\tfor _, state := range states {\n\t\tswitch strings.ToLower(state) {\n\t\tcase \"allocated\":\n\t\t\treturn schema.NodeStateAllocated\n\t\tcase \"reserved\":\n\t\t\treturn schema.NodeStateReserved\n\t\tcase \"idle\":\n\t\t\treturn schema.NodeStateIdle\n\t\tcase \"down\":\n\t\t\treturn schema.NodeStateDown\n\t\tcase \"mixed\":\n\t\t\treturn schema.NodeStateMixed\n\t\t}\n\t}\n\n\treturn schema.NodeStateUnknown\n}\n\n// updateNodeStates godoc\n// @summary     Deliver updated Slurm node states\n// @tags Nodestates\n// @description Returns a JSON-encoded list of users.\n// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n// @produce     json\n// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/nodestats/ [post]\nfunc (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n\t// Parse request body\n\treq := UpdateNodeStatesRequest{}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n\t\t\thttp.StatusBadRequest, rw)\n\t\treturn\n\t}\n\trequestReceived := time.Now().Unix()\n\trepo := repository.GetNodeRepository()\n\n\tm := make(map[string][]string)\n\tmetricNames := make(map[string][]string)\n\thealthResults := make(map[string]metricstore.HealthCheckResult)\n\n\tstartMs := time.Now()\n\n\t// Step 1: Build nodeList and metricList per subcluster\n\tfor _, node := range req.Nodes {\n\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n\t\t\tm[sc] = append(m[sc], node.Hostname)\n\t\t}\n\t}\n\n\tfor sc := range m {\n\t\tif sc != \"\" {\n\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n\t\t\tmetricNames[sc] = metricListToNames(metricList)\n\t\t}\n\t}\n\n\t// Step 2: Determine which metric store to query and perform health check\n\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n\tif err != nil {\n\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n\t} else {\n\t\tfor sc, nl := range m {\n\t\t\tif sc != \"\" {\n\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n\t\t\t\t\tmaps.Copy(healthResults, results)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     healthState,\n\t\t\tHealthMetrics:   healthMetrics,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n}\n","structuredPatch":[{"oldStart":34,"oldLines":23,"newStart":34,"newLines":28,"lines":["   return names"," }"," ","-// this routine assumes that only one of them exists per node","+// determineState resolves multiple states to a single state using priority order:","+// allocated > reserved > idle > down > mixed.","+// Exception: if both idle and down are present, idle is returned."," func determineState(states []string) schema.SchedulerState {","-  for _, state := range states {","-    switch strings.ToLower(state) {","-    case \"allocated\":","-      return schema.NodeStateAllocated","-    case \"reserved\":","-      return schema.NodeStateReserved","-    case \"idle\":","-      return schema.NodeStateIdle","-    case \"down\":","-      return schema.NodeStateDown","-    case \"mixed\":","-      return schema.NodeStateMixed","-    }","+  stateSet := make(map[string]bool, len(states))","+  for _, s := range states {","+    stateSet[strings.ToLower(s)] = true","   }"," ","+  switch {","+  case stateSet[\"allocated\"]:","+    return schema.NodeStateAllocated","+  case stateSet[\"reserved\"]:","+    return schema.NodeStateReserved","+  case stateSet[\"idle\"]:","+    return schema.NodeStateIdle","+  case stateSet[\"down\"]:","+    return schema.NodeStateDown","+  case stateSet[\"mixed\"]:","+    return schema.NodeStateMixed","+  }","+","   return schema.NodeStateUnknown"," }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"126f1c7d-3e19-4fa5-bcdd-994e1dd5f9b7","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"020fd1ca-672d-4980-ada9-2ebe18ec52db","version":"2.1.78","gitBranch":"hotfix","slug":"glimmering-swimming-pie"}
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new file mode 100644
index 00000000..93d8315c
--- /dev/null
+++ b/92/c797737df8/0/metadata.json
@@ -0,0 +1,34 @@
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+  "branch": "hotfix",
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diff --git a/92/c797737df8/0/prompt.txt b/92/c797737df8/0/prompt.txt
new file mode 100644
index 00000000..0c821890
--- /dev/null
+++ b/92/c797737df8/0/prompt.txt
@@ -0,0 +1 @@
+Adopt the determineState Routine to set the state in the order they appear in the current switch case statement. Do not assume any order in the state slice. Make one exception. If states are idle AND down, then set the state to idle.
\ No newline at end of file
diff --git a/92/c797737df8/1/content_hash.txt b/92/c797737df8/1/content_hash.txt
new file mode 100644
index 00000000..aa8a9cb2
--- /dev/null
+++ b/92/c797737df8/1/content_hash.txt
@@ -0,0 +1 @@
+sha256:ef3b13c0b51b67706a93ffe617a94486f86a364c1f279f7dd234bb5c6145c80a
\ No newline at end of file
diff --git a/92/c797737df8/1/full.jsonl b/92/c797737df8/1/full.jsonl
new file mode 100644
index 00000000..3cd36aa5
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@@ -0,0 +1,432 @@
+{"type":"file-history-snapshot","messageId":"0cc8876b-10ce-4edf-943f-0617397039d7","snapshot":{"messageId":"0cc8876b-10ce-4edf-943f-0617397039d7","trackedFileBackups":{},"timestamp":"2026-03-16T10:12:35.009Z"},"isSnapshotUpdate":false}
+{"parentUuid":null,"isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"b00ef795-93ec-48c5-8adf-d49a96a2ed32","toolUseID":"b00ef795-93ec-48c5-8adf-d49a96a2ed32","timestamp":"2026-03-16T10:12:34.962Z","uuid":"62323b49-5343-4dbc-9e12-4595d1cbe76a","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"62323b49-5343-4dbc-9e12-4595d1cbe76a","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Fix: SQLite Write Contention Causing OOM Crash\n\n## Context\n\nThe server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.\n\n**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.\n\nThe cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.\n\n---\n\n## Fix 1: Increase busy_timeout (contention relief)\n\n**File:** `internal/repository/dbConnection.go:73`\n\nChange `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:\n\n**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.\n\n**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.\n\n**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.\n\nWith 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.\n\n---\n\n## Fix 2: Batch Node State Updates in a Transaction\n\nCurrently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.\n\n**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:\n- Accept a slice of `(hostname, cluster, nodeState)` tuples\n- Begin transaction\n- For each node: lookup ID (or insert node), then insert state — all within the same transaction\n- Commit once\n\n**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.\n\n**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).\n\nKeep the existing `UpdateNodeState` method for single-node use cases.\n\n---\n\n## Fix 3: Fix LDAP Sync Race Condition\n\nThe LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.\n\n**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:\n```go\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n    rolesJson, _ := json.Marshal(user.Roles)\n    projectsJson, _ := json.Marshal(user.Projects)\n    cols := \"username, name, roles, projects, ldap\"\n    _, err := r.DB.Exec(\n        `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,\n        user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n    return err\n}\n```\n\n**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.\n\nNote: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.\n\n---\n\n## Fix 4: Add Semaphore for NATS Handlers\n\nWithout rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.\n\n**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:\n```go\ntype NatsAPI struct {\n    JobRepository   *repository.JobRepository\n    RepositoryMutex sync.Mutex\n    jobSem          chan struct{}\n    nodeSem         chan struct{}\n}\n```\n\nInitialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.\n\nAdd acquire/release in `handleJobEvent` and `handleNodeState`:\n```go\napi.jobSem <- struct{}{}\ndefer func() { <-api.jobSem }()\n```\n\nThis caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.\n\n---\n\n## Fix 5: Wrap SyncJobs in a Transaction\n\n**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)\n\nCurrently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:\n- `tx, err := r.DB.Beginx()`\n- Run all three operations on `tx`\n- `tx.Commit()`\n- Do the read-only ID resolution outside the transaction\n\nThis reduces lock acquisitions from 3 to 1 and ensures atomicity.\n\n---\n\n## Implementation Order\n\n1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact\n2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change\n3. **Fix 2** (batch node states) — biggest contention reduction\n4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction\n5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation\n\n---\n\n## Verification\n\n1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.\n2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.\n3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.\n4. Run `go test ./internal/repository/... ./internal/api/... ./internal/auth/...` after all changes.\n5. Load test: simulate burst of 100+ concurrent job start/stop events + node state update with 500 nodes + LDAP sync running simultaneously. Monitor goroutine count and memory.\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/d36fdafb-27dd-4101-b89a-e2bec3f83825.jsonl"},"uuid":"0cc8876b-10ce-4edf-943f-0617397039d7","timestamp":"2026-03-16T10:12:34.796Z","planContent":"# Fix: SQLite Write Contention Causing OOM Crash\n\n## Context\n\nThe server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.\n\n**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.\n\nThe cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.\n\n---\n\n## Fix 1: Increase busy_timeout (contention relief)\n\n**File:** `internal/repository/dbConnection.go:73`\n\nChange `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:\n\n**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.\n\n**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.\n\n**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.\n\nWith 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.\n\n---\n\n## Fix 2: Batch Node State Updates in a Transaction\n\nCurrently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.\n\n**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:\n- Accept a slice of `(hostname, cluster, nodeState)` tuples\n- Begin transaction\n- For each node: lookup ID (or insert node), then insert state — all within the same transaction\n- Commit once\n\n**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.\n\n**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).\n\nKeep the existing `UpdateNodeState` method for single-node use cases.\n\n---\n\n## Fix 3: Fix LDAP Sync Race Condition\n\nThe LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.\n\n**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:\n```go\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n    rolesJson, _ := json.Marshal(user.Roles)\n    projectsJson, _ := json.Marshal(user.Projects)\n    cols := \"username, name, roles, projects, ldap\"\n    _, err := r.DB.Exec(\n        `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,\n        user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n    return err\n}\n```\n\n**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.\n\nNote: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.\n\n---\n\n## Fix 4: Add Semaphore for NATS Handlers\n\nWithout rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.\n\n**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:\n```go\ntype NatsAPI struct {\n    JobRepository   *repository.JobRepository\n    RepositoryMutex sync.Mutex\n    jobSem          chan struct{}\n    nodeSem         chan struct{}\n}\n```\n\nInitialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.\n\nAdd acquire/release in `handleJobEvent` and `handleNodeState`:\n```go\napi.jobSem <- struct{}{}\ndefer func() { <-api.jobSem }()\n```\n\nThis caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.\n\n---\n\n## Fix 5: Wrap SyncJobs in a Transaction\n\n**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)\n\nCurrently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:\n- `tx, err := r.DB.Beginx()`\n- Run all three operations on `tx`\n- `tx.Commit()`\n- Do the read-only ID resolution outside the transaction\n\nThis reduces lock acquisitions from 3 to 1 and ensures atomicity.\n\n---\n\n## Implementation Order\n\n1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact\n2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change\n3. **Fix 2** (batch node states) — biggest contention reduction\n4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction\n5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation\n\n---\n\n## Verification\n\n1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.\n2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.\n3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.\n4. Run `go test ./internal/repository/... ./internal/api/... ./internal/auth/...` after all changes.\n5. Load test: simulate burst of 100+ concurrent job start/stop events + node state update with 500 nodes + LDAP sync running simultaneously. Monitor goroutine count and memory.\n","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"0e3b4b9e-99f8-48be-903e-a49279316f25","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TzRH5T8DTsP1Dn1zhjYuLh","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"database/sql\"\n    10→\t\"fmt\"\n    11→\t\"net/url\"\n    12→\t\"sync\"\n    13→\t\"time\"\n    14→\n    15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    16→\t\"github.com/jmoiron/sqlx\"\n    17→\t\"github.com/mattn/go-sqlite3\"\n    18→\t\"github.com/qustavo/sqlhooks/v2\"\n    19→)\n    20→\n    21→var (\n    22→\tdbConnOnce     sync.Once\n    23→\tdbConnInstance *DBConnection\n    24→)\n    25→\n    26→type DBConnection struct {\n    27→\tDB     *sqlx.DB\n    28→\tDriver string\n    29→}\n    30→\n    31→type DatabaseOptions struct {\n    32→\tURL                   string\n    33→\tMaxOpenConnections    int\n    34→\tMaxIdleConnections    int\n    35→\tConnectionMaxLifetime time.Duration\n    36→\tConnectionMaxIdleTime time.Duration\n    37→}\n    38→\n    39→func setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n    40→\tpragmas := []string{\n    41→\t\t\"temp_store = memory\",\n    42→\t\tfmt.Sprintf(\"soft_heap_limit = %d\", int64(cfg.DbSoftHeapLimitMB)*1024*1024),\n    43→\t}\n    44→\n    45→\tfor _, pragma := range pragmas {\n    46→\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n    47→\t\tif err != nil {\n    48→\t\t\treturn err\n    49→\t\t}\n    50→\t}\n    51→\n    52→\treturn nil\n    53→}\n    54→\n    55→func Connect(db string) {\n    56→\tvar err error\n    57→\tvar dbHandle *sqlx.DB\n    58→\n    59→\tdbConnOnce.Do(func() {\n    60→\t\topts := DatabaseOptions{\n    61→\t\t\tURL:                   db,\n    62→\t\t\tMaxOpenConnections:    repoConfig.MaxOpenConnections,\n    63→\t\t\tMaxIdleConnections:    repoConfig.MaxIdleConnections,\n    64→\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n    65→\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n    66→\t\t}\n    67→\n    68→\t\t// TODO: Have separate DB handles for Writes and Reads\n    69→\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n    70→\t\tconnectionURLParams := make(url.Values)\n    71→\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n    72→\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n    73→\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n    74→\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n    75→\t\tcacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\n    76→\t\tconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))\n    77→\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n    78→\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n    79→\n    80→\t\tif cclog.Loglevel() == \"debug\" {\n    81→\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n    82→\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n    83→\t\t} else {\n    84→\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n    85→\t\t}\n    86→\n    87→\t\tif err != nil {\n    88→\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n    89→\t\t}\n    90→\n    91→\t\terr = setupSqlite(dbHandle.DB, repoConfig)\n    92→\t\tif err != nil {\n    93→\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n    94→\t\t}\n    95→\n    96→\t\tcclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n    97→\t\t\trepoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n    98→\n    99→\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n   100→\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n   101→\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n   102→\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n   103→\n   104→\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n   105→\t\terr = checkDBVersion(dbHandle.DB)\n   106→\t\tif err != nil {\n   107→\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n   108→\t\t}\n   109→\t})\n   110→}\n   111→\n   112→func GetConnection() *DBConnection {\n   113→\tif dbConnInstance == nil {\n   114→\t\tcclog.Fatalf(\"Database connection not initialized!\")\n   115→\t}\n   116→\n   117→\treturn dbConnInstance\n   118→}\n   119→\n   120→// ResetConnection closes the current database connection and resets the connection state.\n   121→// This function is intended for testing purposes only to allow test isolation.\n   122→func ResetConnection() error {\n   123→\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n   124→\t\tif err := dbConnInstance.DB.Close(); err != nil {\n   125→\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n   126→\t\t}\n   127→\t}\n   128→\n   129→\tdbConnInstance = nil\n   130→\tdbConnOnce = sync.Once{}\n   131→\tjobRepoInstance = nil\n   132→\tjobRepoOnce = sync.Once{}\n   133→\tnodeRepoInstance = nil\n   134→\tnodeRepoOnce = sync.Once{}\n   135→\tuserRepoInstance = nil\n   136→\tuserRepoOnce = sync.Once{}\n   137→\tuserCfgRepoInstance = nil\n   138→\tuserCfgRepoOnce = sync.Once{}\n   139→\n   140→\treturn nil\n   141→}\n   142→"}]},"uuid":"053ca6d0-ed8d-4c44-8b34-5684b920c55c","timestamp":"2026-03-16T10:12:39.544Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/dbConnection.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"fmt\"\n\t\"net/url\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"github.com/mattn/go-sqlite3\"\n\t\"github.com/qustavo/sqlhooks/v2\"\n)\n\nvar (\n\tdbConnOnce     sync.Once\n\tdbConnInstance *DBConnection\n)\n\ntype DBConnection struct {\n\tDB     *sqlx.DB\n\tDriver string\n}\n\ntype DatabaseOptions struct {\n\tURL                   string\n\tMaxOpenConnections    int\n\tMaxIdleConnections    int\n\tConnectionMaxLifetime time.Duration\n\tConnectionMaxIdleTime time.Duration\n}\n\nfunc setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t\tfmt.Sprintf(\"soft_heap_limit = %d\", int64(cfg.DbSoftHeapLimitMB)*1024*1024),\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc Connect(db string) {\n\tvar err error\n\tvar dbHandle *sqlx.DB\n\n\tdbConnOnce.Do(func() {\n\t\topts := DatabaseOptions{\n\t\t\tURL:                   db,\n\t\t\tMaxOpenConnections:    repoConfig.MaxOpenConnections,\n\t\t\tMaxIdleConnections:    repoConfig.MaxIdleConnections,\n\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n\t\t}\n\n\t\t// TODO: Have separate DB handles for Writes and Reads\n\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n\t\tconnectionURLParams := make(url.Values)\n\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n\t\tcacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\n\t\tconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))\n\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n\n\t\tif cclog.Loglevel() == \"debug\" {\n\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n\t\t} else {\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n\t\t}\n\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\terr = setupSqlite(dbHandle.DB, repoConfig)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tcclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n\t\t\trepoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n\n\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n\t\terr = checkDBVersion(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n\t\t}\n\t})\n}\n\nfunc GetConnection() *DBConnection {\n\tif dbConnInstance == nil {\n\t\tcclog.Fatalf(\"Database connection not initialized!\")\n\t}\n\n\treturn dbConnInstance\n}\n\n// ResetConnection closes the current database connection and resets the connection state.\n// This function is intended for testing purposes only to allow test isolation.\nfunc ResetConnection() error {\n\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n\t\tif err := dbConnInstance.DB.Close(); err != nil {\n\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n\t\t}\n\t}\n\n\tdbConnInstance = nil\n\tdbConnOnce = sync.Once{}\n\tjobRepoInstance = nil\n\tjobRepoOnce = sync.Once{}\n\tnodeRepoInstance = nil\n\tnodeRepoOnce = sync.Once{}\n\tuserRepoInstance = nil\n\tuserRepoOnce = sync.Once{}\n\tuserCfgRepoInstance = nil\n\tuserCfgRepoOnce = sync.Once{}\n\n\treturn nil\n}\n","numLines":142,"startLine":1,"totalLines":142}},"sourceToolAssistantUUID":"0e3b4b9e-99f8-48be-903e-a49279316f25","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"352d7440-d01b-4d22-bd9c-3f56616211e2","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012orF9pg72YJWFiTr5U3zzS","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import \"time\"\n     9→\n    10→// RepositoryConfig holds configuration for repository operations.\n    11→// All fields have sensible defaults, so this configuration is optional.\n    12→type RepositoryConfig struct {\n    13→\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n    14→\t// Default: 1MB (1024 * 1024 bytes)\n    15→\tCacheSize int\n    16→\n    17→\t// MaxOpenConnections is the maximum number of open database connections.\n    18→\t// Default: 4\n    19→\tMaxOpenConnections int\n    20→\n    21→\t// MaxIdleConnections is the maximum number of idle database connections.\n    22→\t// Default: 4\n    23→\tMaxIdleConnections int\n    24→\n    25→\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n    26→\t// Default: 1 hour\n    27→\tConnectionMaxLifetime time.Duration\n    28→\n    29→\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n    30→\t// Default: 10 minutes\n    31→\tConnectionMaxIdleTime time.Duration\n    32→\n    33→\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n    34→\t// considered in \"running jobs\" queries. This filters out very short jobs.\n    35→\t// Default: 600 seconds (10 minutes)\n    36→\tMinRunningJobDuration int\n    37→\n    38→\t// DbCacheSizeMB is the SQLite page cache size per connection in MB.\n    39→\t// Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n    40→\t// and DbCacheSizeMB=2048, total page cache is up to 8GB.\n    41→\t// Default: 2048 (2GB)\n    42→\tDbCacheSizeMB int\n    43→\n    44→\t// DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n    45→\t// SQLite will try to release cache pages to stay under this limit.\n    46→\t// It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n    47→\t// Default: 16384 (16GB)\n    48→\tDbSoftHeapLimitMB int\n    49→}\n    50→\n    51→// DefaultConfig returns the default repository configuration.\n    52→// These values are optimized for typical deployments.\n    53→func DefaultConfig() *RepositoryConfig {\n    54→\treturn &RepositoryConfig{\n    55→\t\tCacheSize:             1 * 1024 * 1024, // 1MB\n    56→\t\tMaxOpenConnections:    4,\n    57→\t\tMaxIdleConnections:    4,\n    58→\t\tConnectionMaxLifetime: time.Hour,\n    59→\t\tConnectionMaxIdleTime: 10 * time.Minute,\n    60→\t\tMinRunningJobDuration: 600, // 10 minutes\n    61→\t\tDbCacheSizeMB:        2048,  // 2GB per connection\n    62→\t\tDbSoftHeapLimitMB:    16384, // 16GB process-wide\n    63→\t}\n    64→}\n    65→\n    66→// repoConfig is the package-level configuration instance.\n    67→// It is initialized with defaults and can be overridden via SetConfig.\n    68→var repoConfig *RepositoryConfig = DefaultConfig()\n    69→\n    70→// SetConfig sets the repository configuration.\n    71→// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n    72→// If not called, default values from DefaultConfig() are used.\n    73→func SetConfig(cfg *RepositoryConfig) {\n    74→\tif cfg != nil {\n    75→\t\trepoConfig = cfg\n    76→\t}\n    77→}\n    78→\n    79→// GetConfig returns the current repository configuration.\n    80→func GetConfig() *RepositoryConfig {\n    81→\treturn repoConfig\n    82→}\n    83→"}]},"uuid":"85257af6-41af-4431-9199-d7d5cd1f1c06","timestamp":"2026-03-16T10:12:40.045Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/config.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport \"time\"\n\n// RepositoryConfig holds configuration for repository operations.\n// All fields have sensible defaults, so this configuration is optional.\ntype RepositoryConfig struct {\n\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n\t// Default: 1MB (1024 * 1024 bytes)\n\tCacheSize int\n\n\t// MaxOpenConnections is the maximum number of open database connections.\n\t// Default: 4\n\tMaxOpenConnections int\n\n\t// MaxIdleConnections is the maximum number of idle database connections.\n\t// Default: 4\n\tMaxIdleConnections int\n\n\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n\t// Default: 1 hour\n\tConnectionMaxLifetime time.Duration\n\n\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n\t// Default: 10 minutes\n\tConnectionMaxIdleTime time.Duration\n\n\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n\t// considered in \"running jobs\" queries. This filters out very short jobs.\n\t// Default: 600 seconds (10 minutes)\n\tMinRunningJobDuration int\n\n\t// DbCacheSizeMB is the SQLite page cache size per connection in MB.\n\t// Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n\t// and DbCacheSizeMB=2048, total page cache is up to 8GB.\n\t// Default: 2048 (2GB)\n\tDbCacheSizeMB int\n\n\t// DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n\t// SQLite will try to release cache pages to stay under this limit.\n\t// It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n\t// Default: 16384 (16GB)\n\tDbSoftHeapLimitMB int\n}\n\n// DefaultConfig returns the default repository configuration.\n// These values are optimized for typical deployments.\nfunc DefaultConfig() *RepositoryConfig {\n\treturn &RepositoryConfig{\n\t\tCacheSize:             1 * 1024 * 1024, // 1MB\n\t\tMaxOpenConnections:    4,\n\t\tMaxIdleConnections:    4,\n\t\tConnectionMaxLifetime: time.Hour,\n\t\tConnectionMaxIdleTime: 10 * time.Minute,\n\t\tMinRunningJobDuration: 600, // 10 minutes\n\t\tDbCacheSizeMB:        2048,  // 2GB per connection\n\t\tDbSoftHeapLimitMB:    16384, // 16GB process-wide\n\t}\n}\n\n// repoConfig is the package-level configuration instance.\n// It is initialized with defaults and can be overridden via SetConfig.\nvar repoConfig *RepositoryConfig = DefaultConfig()\n\n// SetConfig sets the repository configuration.\n// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n// If not called, default values from DefaultConfig() are used.\nfunc SetConfig(cfg *RepositoryConfig) {\n\tif cfg != nil {\n\t\trepoConfig = cfg\n\t}\n}\n\n// GetConfig returns the current repository configuration.\nfunc GetConfig() *RepositoryConfig {\n\treturn repoConfig\n}\n","numLines":83,"startLine":1,"totalLines":83}},"sourceToolAssistantUUID":"352d7440-d01b-4d22-bd9c-3f56616211e2","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"641c9a76-91d8-4156-a19d-7ccb6d93cf69","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ApteHWPiKLmA7YP4uFfRyv","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package archive\n     7→\n     8→import (\n     9→\t\"bytes\"\n    10→\t\"compress/gzip\"\n    11→\t\"database/sql\"\n    12→\t\"encoding/json\"\n    13→\t\"fmt\"\n    14→\t\"io\"\n    15→\t\"math\"\n    16→\t\"os\"\n    17→\t\"slices\"\n    18→\t\"strconv\"\n    19→\t\"sync\"\n    20→\t\"text/tabwriter\"\n    21→\t\"time\"\n    22→\n    23→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    24→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    25→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    26→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n    27→\t_ \"github.com/mattn/go-sqlite3\"\n    28→)\n    29→\n    30→// SqliteArchiveConfig holds the configuration for the SQLite archive backend.\n    31→type SqliteArchiveConfig struct {\n    32→\tDBPath string `json:\"db-path\"` // Path to SQLite database file\n    33→}\n    34→\n    35→// SqliteArchive implements ArchiveBackend using a SQLite database with BLOB storage.\n    36→// Job metadata and data are stored as JSON BLOBs with indexes for fast queries.\n    37→//\n    38→// Uses WAL (Write-Ahead Logging) mode for better concurrency and a 64MB cache.\n    39→type SqliteArchive struct {\n    40→\tdb       *sql.DB  // SQLite database connection\n    41→\tclusters []string // List of discovered cluster names\n    42→}\n    43→\n    44→// sqliteSchema defines the database schema for SQLite archive backend.\n    45→// Jobs table: stores job metadata and data as BLOBs with compression flag\n    46→// Clusters table: stores cluster configurations\n    47→// Metadata table: stores version and other key-value pairs\n    48→const sqliteSchema = `\n    49→CREATE TABLE IF NOT EXISTS jobs (\n    50→    id INTEGER PRIMARY KEY AUTOINCREMENT,\n    51→    job_id INTEGER NOT NULL,\n    52→    cluster TEXT NOT NULL,\n    53→    start_time INTEGER NOT NULL,\n    54→    meta_json BLOB NOT NULL,\n    55→    data_json BLOB,\n    56→    data_compressed BOOLEAN DEFAULT 0,\n    57→    created_at INTEGER NOT NULL,\n    58→    updated_at INTEGER NOT NULL,\n    59→    UNIQUE(job_id, cluster, start_time)\n    60→);\n    61→\n    62→CREATE INDEX IF NOT EXISTS idx_jobs_cluster ON jobs(cluster);\n    63→CREATE INDEX IF NOT EXISTS idx_jobs_start_time ON jobs(start_time);\n    64→CREATE INDEX IF NOT EXISTS idx_jobs_order ON jobs(cluster, start_time);\n    65→CREATE INDEX IF NOT EXISTS idx_jobs_lookup ON jobs(cluster, job_id, start_time);\n    66→\n    67→CREATE TABLE IF NOT EXISTS clusters (\n    68→    name TEXT PRIMARY KEY,\n    69→    config_json BLOB NOT NULL,\n    70→    updated_at INTEGER NOT NULL\n    71→);\n    72→\n    73→CREATE TABLE IF NOT EXISTS metadata (\n    74→    key TEXT PRIMARY KEY,\n    75→    value TEXT NOT NULL\n    76→);\n    77→`\n    78→\n    79→func (sa *SqliteArchive) Init(rawConfig json.RawMessage) (uint64, error) {\n    80→\tvar cfg SqliteArchiveConfig\n    81→\tif err := json.Unmarshal(rawConfig, &cfg); err != nil {\n    82→\t\tcclog.Warnf(\"SqliteArchive Init() > Unmarshal error: %#v\", err)\n    83→\t\treturn 0, err\n    84→\t}\n    85→\n    86→\tif cfg.DBPath == \"\" {\n    87→\t\terr := fmt.Errorf(\"SqliteArchive Init(): empty database path\")\n    88→\t\tcclog.Errorf(\"SqliteArchive Init() > config error: %v\", err)\n    89→\t\treturn 0, err\n    90→\t}\n    91→\n    92→\t// Open SQLite database\n    93→\tdb, err := sql.Open(\"sqlite3\", cfg.DBPath)\n    94→\tif err != nil {\n    95→\t\tcclog.Errorf(\"SqliteArchive Init() > failed to open database: %v\", err)\n    96→\t\treturn 0, err\n    97→\t}\n    98→\tsa.db = db\n    99→\n   100→\t// Set pragmas for better performance\n   101→\tpragmas := []string{\n   102→\t\t\"PRAGMA journal_mode=WAL\",\n   103→\t\t\"PRAGMA synchronous=NORMAL\",\n   104→\t\t\"PRAGMA cache_size=-64000\", // 64MB cache\n   105→\t\t\"PRAGMA busy_timeout=5000\",\n   106→\t}\n   107→\tfor _, pragma := range pragmas {\n   108→\t\tif _, err := sa.db.Exec(pragma); err != nil {\n   109→\t\t\tcclog.Warnf(\"SqliteArchive Init() > pragma failed: %v\", err)\n   110→\t\t}\n   111→\t}\n   112→\n   113→\t// Create schema\n   114→\tif _, err := sa.db.Exec(sqliteSchema); err != nil {\n   115→\t\tcclog.Errorf(\"SqliteArchive Init() > schema creation failed: %v\", err)\n   116→\t\treturn 0, err\n   117→\t}\n   118→\n   119→\t// Check/set version\n   120→\tvar versionStr string\n   121→\terr = sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'version'\").Scan(&versionStr)\n   122→\tif err == sql.ErrNoRows {\n   123→\t\t// First time initialization, set version\n   124→\t\t_, err = sa.db.Exec(\"INSERT INTO metadata (key, value) VALUES ('version', ?)\", fmt.Sprintf(\"%d\", Version))\n   125→\t\tif err != nil {\n   126→\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to set version: %v\", err)\n   127→\t\t\treturn 0, err\n   128→\t\t}\n   129→\t\tversionStr = fmt.Sprintf(\"%d\", Version)\n   130→\t} else if err != nil {\n   131→\t\tcclog.Errorf(\"SqliteArchive Init() > failed to read version: %v\", err)\n   132→\t\treturn 0, err\n   133→\t}\n   134→\n   135→\tversion, err := strconv.ParseUint(versionStr, 10, 64)\n   136→\tif err != nil {\n   137→\t\tcclog.Errorf(\"SqliteArchive Init() > version parse error: %v\", err)\n   138→\t\treturn 0, err\n   139→\t}\n   140→\n   141→\tif version != Version {\n   142→\t\treturn version, fmt.Errorf(\"unsupported version %d, need %d\", version, Version)\n   143→\t}\n   144→\n   145→\t// Discover clusters\n   146→\tsa.clusters = []string{}\n   147→\trows, err := sa.db.Query(\"SELECT DISTINCT cluster FROM jobs ORDER BY cluster\")\n   148→\tif err != nil {\n   149→\t\tcclog.Errorf(\"SqliteArchive Init() > failed to query clusters: %v\", err)\n   150→\t\treturn 0, err\n   151→\t}\n   152→\tdefer rows.Close()\n   153→\n   154→\tfor rows.Next() {\n   155→\t\tvar cluster string\n   156→\t\tif err := rows.Scan(&cluster); err != nil {\n   157→\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to scan cluster: %v\", err)\n   158→\t\t\tcontinue\n   159→\t\t}\n   160→\t\tsa.clusters = append(sa.clusters, cluster)\n   161→\t}\n   162→\n   163→\tcclog.Infof(\"SqliteArchive initialized with database '%s', found %d clusters\", cfg.DBPath, len(sa.clusters))\n   164→\treturn version, nil\n   165→}\n   166→\n   167→func (sa *SqliteArchive) Info() {\n   168→\tfmt.Printf(\"SQLite Job archive database\\n\")\n   169→\n   170→\tci := make(map[string]*clusterInfo)\n   171→\n   172→\trows, err := sa.db.Query(`\n   173→\t\tSELECT cluster, COUNT(*), MIN(start_time), MAX(start_time),\n   174→\t\t       SUM(LENGTH(meta_json) + COALESCE(LENGTH(data_json), 0))\n   175→\t\tFROM jobs\n   176→\t\tGROUP BY cluster\n   177→\t`)\n   178→\tif err != nil {\n   179→\t\tcclog.Fatalf(\"SqliteArchive Info() > query failed: %s\", err.Error())\n   180→\t}\n   181→\tdefer rows.Close()\n   182→\n   183→\tfor rows.Next() {\n   184→\t\tvar cluster string\n   185→\t\tvar numJobs int\n   186→\t\tvar dateFirst, dateLast int64\n   187→\t\tvar diskSize int64\n   188→\n   189→\t\tif err := rows.Scan(&cluster, &numJobs, &dateFirst, &dateLast, &diskSize); err != nil {\n   190→\t\t\tcclog.Errorf(\"SqliteArchive Info() > scan failed: %v\", err)\n   191→\t\t\tcontinue\n   192→\t\t}\n   193→\n   194→\t\tci[cluster] = &clusterInfo{\n   195→\t\t\tnumJobs:   numJobs,\n   196→\t\t\tdateFirst: dateFirst,\n   197→\t\t\tdateLast:  dateLast,\n   198→\t\t\tdiskSize:  float64(diskSize) / (1024 * 1024), // Convert to MB\n   199→\t\t}\n   200→\t}\n   201→\n   202→\tcit := clusterInfo{dateFirst: time.Now().Unix()}\n   203→\tw := tabwriter.NewWriter(os.Stdout, 0, 0, 2, ' ', tabwriter.Debug)\n   204→\tfmt.Fprintln(w, \"cluster\\t#jobs\\tfrom\\tto\\tsize (MB)\")\n   205→\tfor cluster, clusterInfo := range ci {\n   206→\t\tfmt.Fprintf(w, \"%s\\t%d\\t%s\\t%s\\t%.2f\\n\", cluster,\n   207→\t\t\tclusterInfo.numJobs,\n   208→\t\t\ttime.Unix(clusterInfo.dateFirst, 0),\n   209→\t\t\ttime.Unix(clusterInfo.dateLast, 0),\n   210→\t\t\tclusterInfo.diskSize)\n   211→\n   212→\t\tcit.numJobs += clusterInfo.numJobs\n   213→\t\tcit.dateFirst = util.Min(cit.dateFirst, clusterInfo.dateFirst)\n   214→\t\tcit.dateLast = util.Max(cit.dateLast, clusterInfo.dateLast)\n   215→\t\tcit.diskSize += clusterInfo.diskSize\n   216→\t}\n   217→\n   218→\tfmt.Fprintf(w, \"TOTAL\\t%d\\t%s\\t%s\\t%.2f\\n\",\n   219→\t\tcit.numJobs, time.Unix(cit.dateFirst, 0), time.Unix(cit.dateLast, 0), cit.diskSize)\n   220→\tw.Flush()\n   221→}\n   222→\n   223→func (sa *SqliteArchive) Exists(job *schema.Job) bool {\n   224→\tvar count int\n   225→\terr := sa.db.QueryRow(\"SELECT COUNT(*) FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n   226→\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&count)\n   227→\treturn err == nil && count > 0\n   228→}\n   229→\n   230→func (sa *SqliteArchive) LoadJobMeta(job *schema.Job) (*schema.Job, error) {\n   231→\tvar metaBlob []byte\n   232→\terr := sa.db.QueryRow(\"SELECT meta_json FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n   233→\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&metaBlob)\n   234→\tif err != nil {\n   235→\t\tcclog.Errorf(\"SqliteArchive LoadJobMeta() > query error: %v\", err)\n   236→\t\treturn nil, err\n   237→\t}\n   238→\n   239→\tif config.Keys.Validate {\n   240→\t\tif err := schema.Validate(schema.Meta, bytes.NewReader(metaBlob)); err != nil {\n   241→\t\t\treturn nil, fmt.Errorf(\"validate job meta: %v\", err)\n   242→\t\t}\n   243→\t}\n   244→\n   245→\treturn DecodeJobMeta(bytes.NewReader(metaBlob))\n   246→}\n   247→\n   248→func (sa *SqliteArchive) LoadJobData(job *schema.Job) (schema.JobData, error) {\n   249→\tvar dataBlob []byte\n   250→\tvar compressed bool\n   251→\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n   252→\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n   253→\tif err != nil {\n   254→\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > query error: %v\", err)\n   255→\t\treturn nil, err\n   256→\t}\n   257→\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n   258→\n   259→\tvar reader io.Reader = bytes.NewReader(dataBlob)\n   260→\tif compressed {\n   261→\t\tgzipReader, err := gzip.NewReader(reader)\n   262→\t\tif err != nil {\n   263→\t\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > gzip error: %v\", err)\n   264→\t\t\treturn nil, err\n   265→\t\t}\n   266→\t\tdefer gzipReader.Close()\n   267→\t\treader = gzipReader\n   268→\t}\n   269→\n   270→\tif config.Keys.Validate {\n   271→\t\tdata, _ := io.ReadAll(reader)\n   272→\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n   273→\t\t\treturn schema.JobData{}, fmt.Errorf(\"validate job data: %v\", err)\n   274→\t\t}\n   275→\t\treturn DecodeJobData(bytes.NewReader(data), key)\n   276→\t}\n   277→\n   278→\treturn DecodeJobData(reader, key)\n   279→}\n   280→\n   281→func (sa *SqliteArchive) LoadJobStats(job *schema.Job) (schema.ScopedJobStats, error) {\n   282→\tvar dataBlob []byte\n   283→\tvar compressed bool\n   284→\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n   285→\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n   286→\tif err != nil {\n   287→\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > query error: %v\", err)\n   288→\t\treturn nil, err\n   289→\t}\n   290→\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n   291→\n   292→\tvar reader io.Reader = bytes.NewReader(dataBlob)\n   293→\tif compressed {\n   294→\t\tgzipReader, err := gzip.NewReader(reader)\n   295→\t\tif err != nil {\n   296→\t\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > gzip error: %v\", err)\n   297→\t\t\treturn nil, err\n   298→\t\t}\n   299→\t\tdefer gzipReader.Close()\n   300→\t\treader = gzipReader\n   301→\t}\n   302→\n   303→\tif config.Keys.Validate {\n   304→\t\tdata, _ := io.ReadAll(reader)\n   305→\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n   306→\t\t\treturn nil, fmt.Errorf(\"validate job data: %v\", err)\n   307→\t\t}\n   308→\t\treturn DecodeJobStats(bytes.NewReader(data), key)\n   309→\t}\n   310→\n   311→\treturn DecodeJobStats(reader, key)\n   312→}\n   313→\n   314→func (sa *SqliteArchive) LoadClusterCfg(name string) (*schema.Cluster, error) {\n   315→\tvar configBlob []byte\n   316→\terr := sa.db.QueryRow(\"SELECT config_json FROM clusters WHERE name = ?\", name).Scan(&configBlob)\n   317→\tif err != nil {\n   318→\t\tcclog.Errorf(\"SqliteArchive LoadClusterCfg() > query error: %v\", err)\n   319→\t\treturn nil, err\n   320→\t}\n   321→\n   322→\tif config.Keys.Validate {\n   323→\t\tif err := schema.Validate(schema.ClusterCfg, bytes.NewReader(configBlob)); err != nil {\n   324→\t\t\tcclog.Warnf(\"Validate cluster config: %v\\n\", err)\n   325→\t\t\treturn &schema.Cluster{}, fmt.Errorf(\"validate cluster config: %v\", err)\n   326→\t\t}\n   327→\t}\n   328→\n   329→\treturn DecodeCluster(bytes.NewReader(configBlob))\n   330→}\n   331→\n   332→func (sa *SqliteArchive) StoreJobMeta(job *schema.Job) error {\n   333→\tvar metaBuf bytes.Buffer\n   334→\tif err := EncodeJobMeta(&metaBuf, job); err != nil {\n   335→\t\tcclog.Error(\"SqliteArchive StoreJobMeta() > encoding error\")\n   336→\t\treturn err\n   337→\t}\n   338→\n   339→\tnow := time.Now().Unix()\n   340→\t_, err := sa.db.Exec(`\n   341→\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, created_at, updated_at)\n   342→\t\tVALUES (?, ?, ?, ?, ?, ?)\n   343→\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n   344→\t\t\tmeta_json = excluded.meta_json,\n   345→\t\t\tupdated_at = excluded.updated_at\n   346→\t`, job.JobID, job.Cluster, job.StartTime, metaBuf.Bytes(), now, now)\n   347→\tif err != nil {\n   348→\t\tcclog.Errorf(\"SqliteArchive StoreJobMeta() > insert error: %v\", err)\n   349→\t\treturn err\n   350→\t}\n   351→\n   352→\treturn nil\n   353→}\n   354→\n   355→func (sa *SqliteArchive) ImportJob(jobMeta *schema.Job, jobData *schema.JobData) error {\n   356→\tvar metaBuf, dataBuf bytes.Buffer\n   357→\tif err := EncodeJobMeta(&metaBuf, jobMeta); err != nil {\n   358→\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding meta error\")\n   359→\t\treturn err\n   360→\t}\n   361→\tif err := EncodeJobData(&dataBuf, jobData); err != nil {\n   362→\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding data error\")\n   363→\t\treturn err\n   364→\t}\n   365→\n   366→\tvar dataBytes []byte\n   367→\tvar compressed bool\n   368→\n   369→\tif dataBuf.Len() > 2000 {\n   370→\t\tvar compressedBuf bytes.Buffer\n   371→\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n   372→\t\tif _, err := gzipWriter.Write(dataBuf.Bytes()); err != nil {\n   373→\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip write error: %v\", err)\n   374→\t\t\treturn err\n   375→\t\t}\n   376→\t\tif err := gzipWriter.Close(); err != nil {\n   377→\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip close error: %v\", err)\n   378→\t\t\treturn err\n   379→\t\t}\n   380→\t\tdataBytes = compressedBuf.Bytes()\n   381→\t\tcompressed = true\n   382→\t} else {\n   383→\t\tdataBytes = dataBuf.Bytes()\n   384→\t\tcompressed = false\n   385→\t}\n   386→\n   387→\tnow := time.Now().Unix()\n   388→\t_, err := sa.db.Exec(`\n   389→\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, data_json, data_compressed, created_at, updated_at)\n   390→\t\tVALUES (?, ?, ?, ?, ?, ?, ?, ?)\n   391→\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n   392→\t\t\tmeta_json = excluded.meta_json,\n   393→\t\t\tdata_json = excluded.data_json,\n   394→\t\t\tdata_compressed = excluded.data_compressed,\n   395→\t\t\tupdated_at = excluded.updated_at\n   396→\t`, jobMeta.JobID, jobMeta.Cluster, jobMeta.StartTime, metaBuf.Bytes(), dataBytes, compressed, now, now)\n   397→\tif err != nil {\n   398→\t\tcclog.Errorf(\"SqliteArchive ImportJob() > insert error: %v\", err)\n   399→\t\treturn err\n   400→\t}\n   401→\n   402→\treturn nil\n   403→}\n   404→\n   405→func (sa *SqliteArchive) GetClusters() []string {\n   406→\treturn sa.clusters\n   407→}\n   408→\n   409→func (sa *SqliteArchive) CleanUp(jobs []*schema.Job) {\n   410→\tstart := time.Now()\n   411→\tcount := 0\n   412→\n   413→\ttx, err := sa.db.Begin()\n   414→\tif err != nil {\n   415→\t\tcclog.Errorf(\"SqliteArchive CleanUp() > transaction error: %v\", err)\n   416→\t\treturn\n   417→\t}\n   418→\tdefer tx.Rollback()\n   419→\n   420→\tstmt, err := tx.Prepare(\"DELETE FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n   421→\tif err != nil {\n   422→\t\tcclog.Errorf(\"SqliteArchive CleanUp() > prepare error: %v\", err)\n   423→\t\treturn\n   424→\t}\n   425→\tdefer stmt.Close()\n   426→\n   427→\tfor _, job := range jobs {\n   428→\t\tif job == nil {\n   429→\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() error: job is nil\")\n   430→\t\t\tcontinue\n   431→\t\t}\n   432→\n   433→\t\tif _, err := stmt.Exec(job.JobID, job.Cluster, job.StartTime); err != nil {\n   434→\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() > delete error: %v\", err)\n   435→\t\t} else {\n   436→\t\t\tcount++\n   437→\t\t}\n   438→\t}\n   439→\n   440→\tif err := tx.Commit(); err != nil {\n   441→\t\tcclog.Errorf(\"SqliteArchive CleanUp() > commit error: %v\", err)\n   442→\t\treturn\n   443→\t}\n   444→\n   445→\tcclog.Infof(\"Retention Service - Remove %d jobs from SQLite in %s\", count, time.Since(start))\n   446→}\n   447→\n   448→func (sa *SqliteArchive) Move(jobs []*schema.Job, targetPath string) {\n   449→\t// For SQLite, \"move\" means updating the cluster field or similar\n   450→\t// This is interpretation-dependent; for now we'll just log\n   451→\tcclog.Warnf(\"SqliteArchive Move() is not fully implemented - moves within database not applicable\")\n   452→}\n   453→\n   454→func (sa *SqliteArchive) Clean(before int64, after int64) {\n   455→\tif after == 0 {\n   456→\t\tafter = math.MaxInt64\n   457→\t}\n   458→\n   459→\tresult, err := sa.db.Exec(\"DELETE FROM jobs WHERE start_time < ? OR start_time > ?\", before, after)\n   460→\tif err != nil {\n   461→\t\tcclog.Fatalf(\"SqliteArchive Clean() > delete error: %s\", err.Error())\n   462→\t}\n   463→\n   464→\trowsAffected, _ := result.RowsAffected()\n   465→\tcclog.Infof(\"SqliteArchive Clean() removed %d jobs\", rowsAffected)\n   466→}\n   467→\n   468→func (sa *SqliteArchive) Compress(jobs []*schema.Job) {\n   469→\tvar cnt int\n   470→\tstart := time.Now()\n   471→\n   472→\ttx, err := sa.db.Begin()\n   473→\tif err != nil {\n   474→\t\tcclog.Errorf(\"SqliteArchive Compress() > transaction error: %v\", err)\n   475→\t\treturn\n   476→\t}\n   477→\tdefer tx.Rollback()\n   478→\n   479→\tstmt, err := tx.Prepare(\"UPDATE jobs SET data_json = ?, data_compressed = 1 WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n   480→\tif err != nil {\n   481→\t\tcclog.Errorf(\"SqliteArchive Compress() > prepare error: %v\", err)\n   482→\t\treturn\n   483→\t}\n   484→\tdefer stmt.Close()\n   485→\n   486→\tfor _, job := range jobs {\n   487→\t\tvar dataBlob []byte\n   488→\t\tvar compressed bool\n   489→\t\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n   490→\t\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n   491→\t\tif err != nil || compressed || len(dataBlob) < 2000 {\n   492→\t\t\tcontinue // Skip if error, already compressed, or too small\n   493→\t\t}\n   494→\n   495→\t\t// Compress the data\n   496→\t\tvar compressedBuf bytes.Buffer\n   497→\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n   498→\t\tif _, err := gzipWriter.Write(dataBlob); err != nil {\n   499→\t\t\tcclog.Errorf(\"SqliteArchive Compress() > gzip error: %v\", err)\n   500→\t\t\tgzipWriter.Close()\n   501→\t\t\tcontinue\n   502→\t\t}\n   503→\t\tgzipWriter.Close()\n   504→\n   505→\t\tif _, err := stmt.Exec(compressedBuf.Bytes(), job.JobID, job.Cluster, job.StartTime); err != nil {\n   506→\t\t\tcclog.Errorf(\"SqliteArchive Compress() > update error: %v\", err)\n   507→\t\t} else {\n   508→\t\t\tcnt++\n   509→\t\t}\n   510→\t}\n   511→\n   512→\tif err := tx.Commit(); err != nil {\n   513→\t\tcclog.Errorf(\"SqliteArchive Compress() > commit error: %v\", err)\n   514→\t\treturn\n   515→\t}\n   516→\n   517→\tcclog.Infof(\"Compression Service - %d jobs in SQLite took %s\", cnt, time.Since(start))\n   518→}\n   519→\n   520→func (sa *SqliteArchive) CompressLast(starttime int64) int64 {\n   521→\tvar lastStr string\n   522→\terr := sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'compress_last'\").Scan(&lastStr)\n   523→\n   524→\tvar last int64\n   525→\tif err == sql.ErrNoRows {\n   526→\t\tlast = starttime\n   527→\t} else if err != nil {\n   528→\t\tcclog.Errorf(\"SqliteArchive CompressLast() > query error: %v\", err)\n   529→\t\tlast = starttime\n   530→\t} else {\n   531→\t\tlast, err = strconv.ParseInt(lastStr, 10, 64)\n   532→\t\tif err != nil {\n   533→\t\t\tcclog.Errorf(\"SqliteArchive CompressLast() > parse error: %v\", err)\n   534→\t\t\tlast = starttime\n   535→\t\t}\n   536→\t}\n   537→\n   538→\tcclog.Infof(\"SqliteArchive CompressLast() - start %d last %d\", starttime, last)\n   539→\n   540→\t// Update timestamp\n   541→\t_, err = sa.db.Exec(`\n   542→\t\tINSERT INTO metadata (key, value) VALUES ('compress_last', ?)\n   543→\t\tON CONFLICT(key) DO UPDATE SET value = excluded.value\n   544→\t`, fmt.Sprintf(\"%d\", starttime))\n   545→\tif err != nil {\n   546→\t\tcclog.Errorf(\"SqliteArchive CompressLast() > update error: %v\", err)\n   547→\t}\n   548→\n   549→\treturn last\n   550→}\n   551→\n   552→type sqliteJobRow struct {\n   553→\tmetaBlob   []byte\n   554→\tdataBlob   []byte\n   555→\tcompressed bool\n   556→}\n   557→\n   558→func (sa *SqliteArchive) Iter(loadMetricData bool) <-chan JobContainer {\n   559→\tch := make(chan JobContainer)\n   560→\n   561→\tgo func() {\n   562→\t\tdefer close(ch)\n   563→\n   564→\t\tconst chunkSize = 1000\n   565→\t\toffset := 0\n   566→\n   567→\t\tvar query string\n   568→\t\tif loadMetricData {\n   569→\t\t\tquery = \"SELECT meta_json, data_json, data_compressed FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n   570→\t\t} else {\n   571→\t\t\tquery = \"SELECT meta_json FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n   572→\t\t}\n   573→\n   574→\t\tnumWorkers := 4\n   575→\t\tjobRows := make(chan sqliteJobRow, numWorkers*2)\n   576→\t\tvar wg sync.WaitGroup\n   577→\n   578→\t\tfor range numWorkers {\n   579→\t\t\twg.Go(func() {\n   580→\t\t\t\tfor row := range jobRows {\n   581→\t\t\t\t\tjob, err := DecodeJobMeta(bytes.NewReader(row.metaBlob))\n   582→\t\t\t\t\tif err != nil {\n   583→\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode meta error: %v\", err)\n   584→\t\t\t\t\t\tcontinue\n   585→\t\t\t\t\t}\n   586→\n   587→\t\t\t\t\tif loadMetricData && row.dataBlob != nil {\n   588→\t\t\t\t\t\tvar reader io.Reader = bytes.NewReader(row.dataBlob)\n   589→\t\t\t\t\t\tif row.compressed {\n   590→\t\t\t\t\t\t\tgzipReader, err := gzip.NewReader(reader)\n   591→\t\t\t\t\t\t\tif err != nil {\n   592→\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > gzip error: %v\", err)\n   593→\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n   594→\t\t\t\t\t\t\t\tcontinue\n   595→\t\t\t\t\t\t\t}\n   596→\t\t\t\t\t\t\tdecompressed, err := io.ReadAll(gzipReader)\n   597→\t\t\t\t\t\t\tgzipReader.Close()\n   598→\t\t\t\t\t\t\tif err != nil {\n   599→\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decompress error: %v\", err)\n   600→\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n   601→\t\t\t\t\t\t\t\tcontinue\n   602→\t\t\t\t\t\t\t}\n   603→\t\t\t\t\t\t\treader = bytes.NewReader(decompressed)\n   604→\t\t\t\t\t\t}\n   605→\n   606→\t\t\t\t\t\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n   607→\t\t\t\t\t\tjobData, err := DecodeJobData(reader, key)\n   608→\t\t\t\t\t\tif err != nil {\n   609→\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode data error: %v\", err)\n   610→\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n   611→\t\t\t\t\t\t} else {\n   612→\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: &jobData}\n   613→\t\t\t\t\t\t}\n   614→\t\t\t\t\t} else {\n   615→\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n   616→\t\t\t\t\t}\n   617→\t\t\t\t}\n   618→\t\t\t})\n   619→\t\t}\n   620→\n   621→\t\tfor {\n   622→\t\t\trows, err := sa.db.Query(query, chunkSize, offset)\n   623→\t\t\tif err != nil {\n   624→\t\t\t\tcclog.Fatalf(\"SqliteArchive Iter() > query error: %s\", err.Error())\n   625→\t\t\t}\n   626→\n   627→\t\t\trowCount := 0\n   628→\t\t\tfor rows.Next() {\n   629→\t\t\t\tvar row sqliteJobRow\n   630→\n   631→\t\t\t\tif loadMetricData {\n   632→\t\t\t\t\tif err := rows.Scan(&row.metaBlob, &row.dataBlob, &row.compressed); err != nil {\n   633→\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n   634→\t\t\t\t\t\tcontinue\n   635→\t\t\t\t\t}\n   636→\t\t\t\t} else {\n   637→\t\t\t\t\tif err := rows.Scan(&row.metaBlob); err != nil {\n   638→\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n   639→\t\t\t\t\t\tcontinue\n   640→\t\t\t\t\t}\n   641→\t\t\t\t\trow.dataBlob = nil\n   642→\t\t\t\t\trow.compressed = false\n   643→\t\t\t\t}\n   644→\n   645→\t\t\t\tjobRows <- row\n   646→\t\t\t\trowCount++\n   647→\t\t\t}\n   648→\t\t\trows.Close()\n   649→\n   650→\t\t\tif rowCount < chunkSize {\n   651→\t\t\t\tbreak\n   652→\t\t\t}\n   653→\n   654→\t\t\toffset += chunkSize\n   655→\t\t}\n   656→\n   657→\t\tclose(jobRows)\n   658→\t\twg.Wait()\n   659→\t}()\n   660→\n   661→\treturn ch\n   662→}\n   663→\n   664→func (sa *SqliteArchive) StoreClusterCfg(name string, config *schema.Cluster) error {\n   665→\tvar configBuf bytes.Buffer\n   666→\tif err := EncodeCluster(&configBuf, config); err != nil {\n   667→\t\tcclog.Error(\"SqliteArchive StoreClusterCfg() > encoding error\")\n   668→\t\treturn err\n   669→\t}\n   670→\n   671→\tnow := time.Now().Unix()\n   672→\t_, err := sa.db.Exec(`\n   673→\t\tINSERT INTO clusters (name, config_json, updated_at)\n   674→\t\tVALUES (?, ?, ?)\n   675→\t\tON CONFLICT(name) DO UPDATE SET\n   676→\t\t\tconfig_json = excluded.config_json,\n   677→\t\t\tupdated_at = excluded.updated_at\n   678→\t`, name, configBuf.Bytes(), now)\n   679→\tif err != nil {\n   680→\t\tcclog.Errorf(\"SqliteArchive StoreClusterCfg() > insert error: %v\", err)\n   681→\t\treturn err\n   682→\t}\n   683→\n   684→\t// Update clusters list if new\n   685→\tfound := slices.Contains(sa.clusters, name)\n   686→\tif !found {\n   687→\t\tsa.clusters = append(sa.clusters, name)\n   688→\t}\n   689→\n   690→\treturn nil\n   691→}\n   692→"}]},"uuid":"d78c0aa3-68bb-42dc-8267-533056b05e92","timestamp":"2026-03-16T10:12:40.468Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/archive/sqliteBackend.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage archive\n\nimport (\n\t\"bytes\"\n\t\"compress/gzip\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"slices\"\n\t\"strconv\"\n\t\"sync\"\n\t\"text/tabwriter\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t_ \"github.com/mattn/go-sqlite3\"\n)\n\n// SqliteArchiveConfig holds the configuration for the SQLite archive backend.\ntype SqliteArchiveConfig struct {\n\tDBPath string `json:\"db-path\"` // Path to SQLite database file\n}\n\n// SqliteArchive implements ArchiveBackend using a SQLite database with BLOB storage.\n// Job metadata and data are stored as JSON BLOBs with indexes for fast queries.\n//\n// Uses WAL (Write-Ahead Logging) mode for better concurrency and a 64MB cache.\ntype SqliteArchive struct {\n\tdb       *sql.DB  // SQLite database connection\n\tclusters []string // List of discovered cluster names\n}\n\n// sqliteSchema defines the database schema for SQLite archive backend.\n// Jobs table: stores job metadata and data as BLOBs with compression flag\n// Clusters table: stores cluster configurations\n// Metadata table: stores version and other key-value pairs\nconst sqliteSchema = `\nCREATE TABLE IF NOT EXISTS jobs (\n    id INTEGER PRIMARY KEY AUTOINCREMENT,\n    job_id INTEGER NOT NULL,\n    cluster TEXT NOT NULL,\n    start_time INTEGER NOT NULL,\n    meta_json BLOB NOT NULL,\n    data_json BLOB,\n    data_compressed BOOLEAN DEFAULT 0,\n    created_at INTEGER NOT NULL,\n    updated_at INTEGER NOT NULL,\n    UNIQUE(job_id, cluster, start_time)\n);\n\nCREATE INDEX IF NOT EXISTS idx_jobs_cluster ON jobs(cluster);\nCREATE INDEX IF NOT EXISTS idx_jobs_start_time ON jobs(start_time);\nCREATE INDEX IF NOT EXISTS idx_jobs_order ON jobs(cluster, start_time);\nCREATE INDEX IF NOT EXISTS idx_jobs_lookup ON jobs(cluster, job_id, start_time);\n\nCREATE TABLE IF NOT EXISTS clusters (\n    name TEXT PRIMARY KEY,\n    config_json BLOB NOT NULL,\n    updated_at INTEGER NOT NULL\n);\n\nCREATE TABLE IF NOT EXISTS metadata (\n    key TEXT PRIMARY KEY,\n    value TEXT NOT NULL\n);\n`\n\nfunc (sa *SqliteArchive) Init(rawConfig json.RawMessage) (uint64, error) {\n\tvar cfg SqliteArchiveConfig\n\tif err := json.Unmarshal(rawConfig, &cfg); err != nil {\n\t\tcclog.Warnf(\"SqliteArchive Init() > Unmarshal error: %#v\", err)\n\t\treturn 0, err\n\t}\n\n\tif cfg.DBPath == \"\" {\n\t\terr := fmt.Errorf(\"SqliteArchive Init(): empty database path\")\n\t\tcclog.Errorf(\"SqliteArchive Init() > config error: %v\", err)\n\t\treturn 0, err\n\t}\n\n\t// Open SQLite database\n\tdb, err := sql.Open(\"sqlite3\", cfg.DBPath)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to open database: %v\", err)\n\t\treturn 0, err\n\t}\n\tsa.db = db\n\n\t// Set pragmas for better performance\n\tpragmas := []string{\n\t\t\"PRAGMA journal_mode=WAL\",\n\t\t\"PRAGMA synchronous=NORMAL\",\n\t\t\"PRAGMA cache_size=-64000\", // 64MB cache\n\t\t\"PRAGMA busy_timeout=5000\",\n\t}\n\tfor _, pragma := range pragmas {\n\t\tif _, err := sa.db.Exec(pragma); err != nil {\n\t\t\tcclog.Warnf(\"SqliteArchive Init() > pragma failed: %v\", err)\n\t\t}\n\t}\n\n\t// Create schema\n\tif _, err := sa.db.Exec(sqliteSchema); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > schema creation failed: %v\", err)\n\t\treturn 0, err\n\t}\n\n\t// Check/set version\n\tvar versionStr string\n\terr = sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'version'\").Scan(&versionStr)\n\tif err == sql.ErrNoRows {\n\t\t// First time initialization, set version\n\t\t_, err = sa.db.Exec(\"INSERT INTO metadata (key, value) VALUES ('version', ?)\", fmt.Sprintf(\"%d\", Version))\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to set version: %v\", err)\n\t\t\treturn 0, err\n\t\t}\n\t\tversionStr = fmt.Sprintf(\"%d\", Version)\n\t} else if err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to read version: %v\", err)\n\t\treturn 0, err\n\t}\n\n\tversion, err := strconv.ParseUint(versionStr, 10, 64)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > version parse error: %v\", err)\n\t\treturn 0, err\n\t}\n\n\tif version != Version {\n\t\treturn version, fmt.Errorf(\"unsupported version %d, need %d\", version, Version)\n\t}\n\n\t// Discover clusters\n\tsa.clusters = []string{}\n\trows, err := sa.db.Query(\"SELECT DISTINCT cluster FROM jobs ORDER BY cluster\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to query clusters: %v\", err)\n\t\treturn 0, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar cluster string\n\t\tif err := rows.Scan(&cluster); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to scan cluster: %v\", err)\n\t\t\tcontinue\n\t\t}\n\t\tsa.clusters = append(sa.clusters, cluster)\n\t}\n\n\tcclog.Infof(\"SqliteArchive initialized with database '%s', found %d clusters\", cfg.DBPath, len(sa.clusters))\n\treturn version, nil\n}\n\nfunc (sa *SqliteArchive) Info() {\n\tfmt.Printf(\"SQLite Job archive database\\n\")\n\n\tci := make(map[string]*clusterInfo)\n\n\trows, err := sa.db.Query(`\n\t\tSELECT cluster, COUNT(*), MIN(start_time), MAX(start_time),\n\t\t       SUM(LENGTH(meta_json) + COALESCE(LENGTH(data_json), 0))\n\t\tFROM jobs\n\t\tGROUP BY cluster\n\t`)\n\tif err != nil {\n\t\tcclog.Fatalf(\"SqliteArchive Info() > query failed: %s\", err.Error())\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar cluster string\n\t\tvar numJobs int\n\t\tvar dateFirst, dateLast int64\n\t\tvar diskSize int64\n\n\t\tif err := rows.Scan(&cluster, &numJobs, &dateFirst, &dateLast, &diskSize); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Info() > scan failed: %v\", err)\n\t\t\tcontinue\n\t\t}\n\n\t\tci[cluster] = &clusterInfo{\n\t\t\tnumJobs:   numJobs,\n\t\t\tdateFirst: dateFirst,\n\t\t\tdateLast:  dateLast,\n\t\t\tdiskSize:  float64(diskSize) / (1024 * 1024), // Convert to MB\n\t\t}\n\t}\n\n\tcit := clusterInfo{dateFirst: time.Now().Unix()}\n\tw := tabwriter.NewWriter(os.Stdout, 0, 0, 2, ' ', tabwriter.Debug)\n\tfmt.Fprintln(w, \"cluster\\t#jobs\\tfrom\\tto\\tsize (MB)\")\n\tfor cluster, clusterInfo := range ci {\n\t\tfmt.Fprintf(w, \"%s\\t%d\\t%s\\t%s\\t%.2f\\n\", cluster,\n\t\t\tclusterInfo.numJobs,\n\t\t\ttime.Unix(clusterInfo.dateFirst, 0),\n\t\t\ttime.Unix(clusterInfo.dateLast, 0),\n\t\t\tclusterInfo.diskSize)\n\n\t\tcit.numJobs += clusterInfo.numJobs\n\t\tcit.dateFirst = util.Min(cit.dateFirst, clusterInfo.dateFirst)\n\t\tcit.dateLast = util.Max(cit.dateLast, clusterInfo.dateLast)\n\t\tcit.diskSize += clusterInfo.diskSize\n\t}\n\n\tfmt.Fprintf(w, \"TOTAL\\t%d\\t%s\\t%s\\t%.2f\\n\",\n\t\tcit.numJobs, time.Unix(cit.dateFirst, 0), time.Unix(cit.dateLast, 0), cit.diskSize)\n\tw.Flush()\n}\n\nfunc (sa *SqliteArchive) Exists(job *schema.Job) bool {\n\tvar count int\n\terr := sa.db.QueryRow(\"SELECT COUNT(*) FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&count)\n\treturn err == nil && count > 0\n}\n\nfunc (sa *SqliteArchive) LoadJobMeta(job *schema.Job) (*schema.Job, error) {\n\tvar metaBlob []byte\n\terr := sa.db.QueryRow(\"SELECT meta_json FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&metaBlob)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobMeta() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif config.Keys.Validate {\n\t\tif err := schema.Validate(schema.Meta, bytes.NewReader(metaBlob)); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"validate job meta: %v\", err)\n\t\t}\n\t}\n\n\treturn DecodeJobMeta(bytes.NewReader(metaBlob))\n}\n\nfunc (sa *SqliteArchive) LoadJobData(job *schema.Job) (schema.JobData, error) {\n\tvar dataBlob []byte\n\tvar compressed bool\n\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\n\tvar reader io.Reader = bytes.NewReader(dataBlob)\n\tif compressed {\n\t\tgzipReader, err := gzip.NewReader(reader)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > gzip error: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\tdefer gzipReader.Close()\n\t\treader = gzipReader\n\t}\n\n\tif config.Keys.Validate {\n\t\tdata, _ := io.ReadAll(reader)\n\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n\t\t\treturn schema.JobData{}, fmt.Errorf(\"validate job data: %v\", err)\n\t\t}\n\t\treturn DecodeJobData(bytes.NewReader(data), key)\n\t}\n\n\treturn DecodeJobData(reader, key)\n}\n\nfunc (sa *SqliteArchive) LoadJobStats(job *schema.Job) (schema.ScopedJobStats, error) {\n\tvar dataBlob []byte\n\tvar compressed bool\n\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\n\tvar reader io.Reader = bytes.NewReader(dataBlob)\n\tif compressed {\n\t\tgzipReader, err := gzip.NewReader(reader)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > gzip error: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\tdefer gzipReader.Close()\n\t\treader = gzipReader\n\t}\n\n\tif config.Keys.Validate {\n\t\tdata, _ := io.ReadAll(reader)\n\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"validate job data: %v\", err)\n\t\t}\n\t\treturn DecodeJobStats(bytes.NewReader(data), key)\n\t}\n\n\treturn DecodeJobStats(reader, key)\n}\n\nfunc (sa *SqliteArchive) LoadClusterCfg(name string) (*schema.Cluster, error) {\n\tvar configBlob []byte\n\terr := sa.db.QueryRow(\"SELECT config_json FROM clusters WHERE name = ?\", name).Scan(&configBlob)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadClusterCfg() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif config.Keys.Validate {\n\t\tif err := schema.Validate(schema.ClusterCfg, bytes.NewReader(configBlob)); err != nil {\n\t\t\tcclog.Warnf(\"Validate cluster config: %v\\n\", err)\n\t\t\treturn &schema.Cluster{}, fmt.Errorf(\"validate cluster config: %v\", err)\n\t\t}\n\t}\n\n\treturn DecodeCluster(bytes.NewReader(configBlob))\n}\n\nfunc (sa *SqliteArchive) StoreJobMeta(job *schema.Job) error {\n\tvar metaBuf bytes.Buffer\n\tif err := EncodeJobMeta(&metaBuf, job); err != nil {\n\t\tcclog.Error(\"SqliteArchive StoreJobMeta() > encoding error\")\n\t\treturn err\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, created_at, updated_at)\n\t\tVALUES (?, ?, ?, ?, ?, ?)\n\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n\t\t\tmeta_json = excluded.meta_json,\n\t\t\tupdated_at = excluded.updated_at\n\t`, job.JobID, job.Cluster, job.StartTime, metaBuf.Bytes(), now, now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive StoreJobMeta() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (sa *SqliteArchive) ImportJob(jobMeta *schema.Job, jobData *schema.JobData) error {\n\tvar metaBuf, dataBuf bytes.Buffer\n\tif err := EncodeJobMeta(&metaBuf, jobMeta); err != nil {\n\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding meta error\")\n\t\treturn err\n\t}\n\tif err := EncodeJobData(&dataBuf, jobData); err != nil {\n\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding data error\")\n\t\treturn err\n\t}\n\n\tvar dataBytes []byte\n\tvar compressed bool\n\n\tif dataBuf.Len() > 2000 {\n\t\tvar compressedBuf bytes.Buffer\n\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n\t\tif _, err := gzipWriter.Write(dataBuf.Bytes()); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip write error: %v\", err)\n\t\t\treturn err\n\t\t}\n\t\tif err := gzipWriter.Close(); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip close error: %v\", err)\n\t\t\treturn err\n\t\t}\n\t\tdataBytes = compressedBuf.Bytes()\n\t\tcompressed = true\n\t} else {\n\t\tdataBytes = dataBuf.Bytes()\n\t\tcompressed = false\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, data_json, data_compressed, created_at, updated_at)\n\t\tVALUES (?, ?, ?, ?, ?, ?, ?, ?)\n\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n\t\t\tmeta_json = excluded.meta_json,\n\t\t\tdata_json = excluded.data_json,\n\t\t\tdata_compressed = excluded.data_compressed,\n\t\t\tupdated_at = excluded.updated_at\n\t`, jobMeta.JobID, jobMeta.Cluster, jobMeta.StartTime, metaBuf.Bytes(), dataBytes, compressed, now, now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive ImportJob() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (sa *SqliteArchive) GetClusters() []string {\n\treturn sa.clusters\n}\n\nfunc (sa *SqliteArchive) CleanUp(jobs []*schema.Job) {\n\tstart := time.Now()\n\tcount := 0\n\n\ttx, err := sa.db.Begin()\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > transaction error: %v\", err)\n\t\treturn\n\t}\n\tdefer tx.Rollback()\n\n\tstmt, err := tx.Prepare(\"DELETE FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > prepare error: %v\", err)\n\t\treturn\n\t}\n\tdefer stmt.Close()\n\n\tfor _, job := range jobs {\n\t\tif job == nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() error: job is nil\")\n\t\t\tcontinue\n\t\t}\n\n\t\tif _, err := stmt.Exec(job.JobID, job.Cluster, job.StartTime); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() > delete error: %v\", err)\n\t\t} else {\n\t\t\tcount++\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > commit error: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Retention Service - Remove %d jobs from SQLite in %s\", count, time.Since(start))\n}\n\nfunc (sa *SqliteArchive) Move(jobs []*schema.Job, targetPath string) {\n\t// For SQLite, \"move\" means updating the cluster field or similar\n\t// This is interpretation-dependent; for now we'll just log\n\tcclog.Warnf(\"SqliteArchive Move() is not fully implemented - moves within database not applicable\")\n}\n\nfunc (sa *SqliteArchive) Clean(before int64, after int64) {\n\tif after == 0 {\n\t\tafter = math.MaxInt64\n\t}\n\n\tresult, err := sa.db.Exec(\"DELETE FROM jobs WHERE start_time < ? OR start_time > ?\", before, after)\n\tif err != nil {\n\t\tcclog.Fatalf(\"SqliteArchive Clean() > delete error: %s\", err.Error())\n\t}\n\n\trowsAffected, _ := result.RowsAffected()\n\tcclog.Infof(\"SqliteArchive Clean() removed %d jobs\", rowsAffected)\n}\n\nfunc (sa *SqliteArchive) Compress(jobs []*schema.Job) {\n\tvar cnt int\n\tstart := time.Now()\n\n\ttx, err := sa.db.Begin()\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > transaction error: %v\", err)\n\t\treturn\n\t}\n\tdefer tx.Rollback()\n\n\tstmt, err := tx.Prepare(\"UPDATE jobs SET data_json = ?, data_compressed = 1 WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > prepare error: %v\", err)\n\t\treturn\n\t}\n\tdefer stmt.Close()\n\n\tfor _, job := range jobs {\n\t\tvar dataBlob []byte\n\t\tvar compressed bool\n\t\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\t\tif err != nil || compressed || len(dataBlob) < 2000 {\n\t\t\tcontinue // Skip if error, already compressed, or too small\n\t\t}\n\n\t\t// Compress the data\n\t\tvar compressedBuf bytes.Buffer\n\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n\t\tif _, err := gzipWriter.Write(dataBlob); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Compress() > gzip error: %v\", err)\n\t\t\tgzipWriter.Close()\n\t\t\tcontinue\n\t\t}\n\t\tgzipWriter.Close()\n\n\t\tif _, err := stmt.Exec(compressedBuf.Bytes(), job.JobID, job.Cluster, job.StartTime); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Compress() > update error: %v\", err)\n\t\t} else {\n\t\t\tcnt++\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > commit error: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Compression Service - %d jobs in SQLite took %s\", cnt, time.Since(start))\n}\n\nfunc (sa *SqliteArchive) CompressLast(starttime int64) int64 {\n\tvar lastStr string\n\terr := sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'compress_last'\").Scan(&lastStr)\n\n\tvar last int64\n\tif err == sql.ErrNoRows {\n\t\tlast = starttime\n\t} else if err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CompressLast() > query error: %v\", err)\n\t\tlast = starttime\n\t} else {\n\t\tlast, err = strconv.ParseInt(lastStr, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CompressLast() > parse error: %v\", err)\n\t\t\tlast = starttime\n\t\t}\n\t}\n\n\tcclog.Infof(\"SqliteArchive CompressLast() - start %d last %d\", starttime, last)\n\n\t// Update timestamp\n\t_, err = sa.db.Exec(`\n\t\tINSERT INTO metadata (key, value) VALUES ('compress_last', ?)\n\t\tON CONFLICT(key) DO UPDATE SET value = excluded.value\n\t`, fmt.Sprintf(\"%d\", starttime))\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CompressLast() > update error: %v\", err)\n\t}\n\n\treturn last\n}\n\ntype sqliteJobRow struct {\n\tmetaBlob   []byte\n\tdataBlob   []byte\n\tcompressed bool\n}\n\nfunc (sa *SqliteArchive) Iter(loadMetricData bool) <-chan JobContainer {\n\tch := make(chan JobContainer)\n\n\tgo func() {\n\t\tdefer close(ch)\n\n\t\tconst chunkSize = 1000\n\t\toffset := 0\n\n\t\tvar query string\n\t\tif loadMetricData {\n\t\t\tquery = \"SELECT meta_json, data_json, data_compressed FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n\t\t} else {\n\t\t\tquery = \"SELECT meta_json FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n\t\t}\n\n\t\tnumWorkers := 4\n\t\tjobRows := make(chan sqliteJobRow, numWorkers*2)\n\t\tvar wg sync.WaitGroup\n\n\t\tfor range numWorkers {\n\t\t\twg.Go(func() {\n\t\t\t\tfor row := range jobRows {\n\t\t\t\t\tjob, err := DecodeJobMeta(bytes.NewReader(row.metaBlob))\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode meta error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\n\t\t\t\t\tif loadMetricData && row.dataBlob != nil {\n\t\t\t\t\t\tvar reader io.Reader = bytes.NewReader(row.dataBlob)\n\t\t\t\t\t\tif row.compressed {\n\t\t\t\t\t\t\tgzipReader, err := gzip.NewReader(reader)\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > gzip error: %v\", err)\n\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tdecompressed, err := io.ReadAll(gzipReader)\n\t\t\t\t\t\t\tgzipReader.Close()\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decompress error: %v\", err)\n\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\treader = bytes.NewReader(decompressed)\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\t\t\t\t\t\tjobData, err := DecodeJobData(reader, key)\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode data error: %v\", err)\n\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: &jobData}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else {\n\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\n\t\tfor {\n\t\t\trows, err := sa.db.Query(query, chunkSize, offset)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Fatalf(\"SqliteArchive Iter() > query error: %s\", err.Error())\n\t\t\t}\n\n\t\t\trowCount := 0\n\t\t\tfor rows.Next() {\n\t\t\t\tvar row sqliteJobRow\n\n\t\t\t\tif loadMetricData {\n\t\t\t\t\tif err := rows.Scan(&row.metaBlob, &row.dataBlob, &row.compressed); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif err := rows.Scan(&row.metaBlob); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\trow.dataBlob = nil\n\t\t\t\t\trow.compressed = false\n\t\t\t\t}\n\n\t\t\t\tjobRows <- row\n\t\t\t\trowCount++\n\t\t\t}\n\t\t\trows.Close()\n\n\t\t\tif rowCount < chunkSize {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\toffset += chunkSize\n\t\t}\n\n\t\tclose(jobRows)\n\t\twg.Wait()\n\t}()\n\n\treturn ch\n}\n\nfunc (sa *SqliteArchive) StoreClusterCfg(name string, config *schema.Cluster) error {\n\tvar configBuf bytes.Buffer\n\tif err := EncodeCluster(&configBuf, config); err != nil {\n\t\tcclog.Error(\"SqliteArchive StoreClusterCfg() > encoding error\")\n\t\treturn err\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO clusters (name, config_json, updated_at)\n\t\tVALUES (?, ?, ?)\n\t\tON CONFLICT(name) DO UPDATE SET\n\t\t\tconfig_json = excluded.config_json,\n\t\t\tupdated_at = excluded.updated_at\n\t`, name, configBuf.Bytes(), now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive StoreClusterCfg() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\t// Update clusters list if new\n\tfound := slices.Contains(sa.clusters, name)\n\tif !found {\n\t\tsa.clusters = append(sa.clusters, name)\n\t}\n\n\treturn nil\n}\n","numLines":692,"startLine":1,"totalLines":692}},"sourceToolAssistantUUID":"641c9a76-91d8-4156-a19d-7ccb6d93cf69","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"d8f1148f-83ce-49d1-8a7f-4e6531306bf4","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RUChJr4277fRqYrmyucysh","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"database/sql\"\n    11→\t\"encoding/json\"\n    12→\t\"fmt\"\n    13→\t\"slices\"\n    14→\t\"sort\"\n    15→\t\"strings\"\n    16→\t\"sync\"\n    17→\t\"time\"\n    18→\n    19→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    20→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n    23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    24→\tsq \"github.com/Masterminds/squirrel\"\n    25→\t\"github.com/jmoiron/sqlx\"\n    26→)\n    27→\n    28→var (\n    29→\tnodeRepoOnce     sync.Once\n    30→\tnodeRepoInstance *NodeRepository\n    31→)\n    32→\n    33→type NodeRepository struct {\n    34→\tDB        *sqlx.DB\n    35→\tstmtCache *sq.StmtCache\n    36→\tcache     *lrucache.Cache\n    37→\tdriver    string\n    38→}\n    39→\n    40→func GetNodeRepository() *NodeRepository {\n    41→\tnodeRepoOnce.Do(func() {\n    42→\t\tdb := GetConnection()\n    43→\n    44→\t\tnodeRepoInstance = &NodeRepository{\n    45→\t\t\tDB:     db.DB,\n    46→\t\t\tdriver: db.Driver,\n    47→\n    48→\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n    49→\t\t\tcache:     lrucache.New(repoConfig.CacheSize),\n    50→\t\t}\n    51→\t})\n    52→\treturn nodeRepoInstance\n    53→}\n    54→\n    55→// latestStateCondition returns a squirrel expression that restricts node_state\n    56→// rows to the latest per node_id using a correlated subquery.\n    57→// Requires the query to join node and node_state tables.\n    58→func latestStateCondition() sq.Sqlizer {\n    59→\treturn sq.Expr(\n    60→\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n    61→\t)\n    62→}\n    63→\n    64→// applyNodeFilters applies common NodeFilter conditions to a query that joins\n    65→// the node and node_state tables with latestStateCondition.\n    66→func applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n    67→\tfor _, f := range filters {\n    68→\t\tif f.Cluster != nil {\n    69→\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n    70→\t\t}\n    71→\t\tif f.SubCluster != nil {\n    72→\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n    73→\t\t}\n    74→\t\tif f.Hostname != nil {\n    75→\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n    76→\t\t}\n    77→\t\tif f.SchedulerState != nil {\n    78→\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n    79→\t\t}\n    80→\t\tif f.HealthState != nil {\n    81→\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n    82→\t\t}\n    83→\t}\n    84→\treturn query\n    85→}\n    86→\n    87→func (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n    88→\tstart := time.Now()\n    89→\n    90→\tRawMetaData := make([]byte, 0)\n    91→\n    92→\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n    93→\t\tWhere(\"node.hostname = ?\", hostname).\n    94→\t\tWhere(\"node.cluster = ?\", cluster).\n    95→\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n    96→\t\tcclog.Warn(\"Error while scanning for node metadata\")\n    97→\t\treturn nil, err\n    98→\t}\n    99→\n   100→\tif len(RawMetaData) == 0 {\n   101→\t\treturn nil, nil\n   102→\t}\n   103→\n   104→\tMetaData := make(map[string]string)\n   105→\n   106→\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n   107→\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n   108→\t\treturn nil, err\n   109→\t}\n   110→\n   111→\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n   112→\treturn MetaData, nil\n   113→}\n   114→\n   115→func (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n   116→\tnode := &schema.Node{}\n   117→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   118→\t\t\"node_state.node_state\", \"node_state.health_state\").\n   119→\t\tFrom(\"node\").\n   120→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   121→\t\tWhere(latestStateCondition()).\n   122→\t\tWhere(\"node.hostname = ?\", hostname).\n   123→\t\tWhere(\"node.cluster = ?\", cluster).\n   124→\t\tRunWith(r.DB).\n   125→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n   126→\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n   127→\t\treturn nil, err\n   128→\t}\n   129→\n   130→\tif withMeta {\n   131→\t\tvar err error\n   132→\t\tvar meta map[string]string\n   133→\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n   134→\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n   135→\t\t\treturn nil, err\n   136→\t\t}\n   137→\t\tnode.MetaData = meta\n   138→\t}\n   139→\n   140→\treturn node, nil\n   141→}\n   142→\n   143→func (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n   144→\tnode := &schema.Node{}\n   145→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   146→\t\t\"node_state.node_state\", \"node_state.health_state\").\n   147→\t\tFrom(\"node\").\n   148→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   149→\t\tWhere(latestStateCondition()).\n   150→\t\tWhere(\"node.id = ?\", id).\n   151→\t\tRunWith(r.DB).\n   152→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n   153→\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n   154→\t\treturn nil, err\n   155→\t}\n   156→\n   157→\tif withMeta {\n   158→\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n   159→\t\tif metaErr != nil {\n   160→\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n   161→\t\t\treturn nil, metaErr\n   162→\t\t}\n   163→\t\tnode.MetaData = meta\n   164→\t}\n   165→\n   166→\treturn node, nil\n   167→}\n   168→\n   169→// const NamedNodeInsert string = `\n   170→// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n   171→//\n   172→//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n   173→//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n   174→//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n   175→\n   176→const NamedNodeInsert string = `\n   177→INSERT INTO node (hostname, cluster, subcluster)\n   178→\tVALUES (:hostname, :cluster, :subcluster);`\n   179→\n   180→// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n   181→// from a nodestate update from the job scheduler.\n   182→func (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n   183→\tvar err error\n   184→\n   185→\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n   186→\tif err != nil {\n   187→\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n   188→\t\treturn 0, err\n   189→\t}\n   190→\tnode.ID, err = res.LastInsertId()\n   191→\tif err != nil {\n   192→\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n   193→\t\treturn 0, err\n   194→\t}\n   195→\n   196→\treturn node.ID, nil\n   197→}\n   198→\n   199→const NamedNodeStateInsert string = `\n   200→INSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n   201→\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n   202→\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n   203→\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n   204→\n   205→// TODO: Add real Monitoring Health State\n   206→\n   207→// UpdateNodeState is called from the Node REST API to add a row in the node state table\n   208→func (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n   209→\tvar id int64\n   210→\n   211→\tif err := sq.Select(\"id\").From(\"node\").\n   212→\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n   213→\t\tQueryRow().Scan(&id); err != nil {\n   214→\t\tif err == sql.ErrNoRows {\n   215→\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n   216→\t\t\tif err != nil {\n   217→\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n   218→\t\t\t\treturn err\n   219→\t\t\t}\n   220→\t\t\tnode := schema.NodeDB{\n   221→\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n   222→\t\t\t}\n   223→\t\t\tid, err = r.AddNode(&node)\n   224→\t\t\tif err != nil {\n   225→\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n   226→\t\t\t\treturn err\n   227→\t\t\t}\n   228→\n   229→\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n   230→\t\t} else {\n   231→\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n   232→\t\t\treturn err\n   233→\t\t}\n   234→\t}\n   235→\n   236→\tnodeState.NodeID = id\n   237→\n   238→\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n   239→\tif err != nil {\n   240→\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n   241→\t\treturn err\n   242→\t}\n   243→\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n   244→\treturn nil\n   245→}\n   246→\n   247→// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n   248→// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n   249→// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n   250→// \t\treturn err\n   251→// \t}\n   252→//\n   253→// \treturn nil\n   254→// }\n   255→\n   256→// NodeStateWithNode combines a node state row with denormalized node info.\n   257→type NodeStateWithNode struct {\n   258→\tID              int64  `db:\"id\"`\n   259→\tTimeStamp       int64  `db:\"time_stamp\"`\n   260→\tNodeState       string `db:\"node_state\"`\n   261→\tHealthState     string `db:\"health_state\"`\n   262→\tHealthMetrics   string `db:\"health_metrics\"`\n   263→\tCpusAllocated   int    `db:\"cpus_allocated\"`\n   264→\tMemoryAllocated int64  `db:\"memory_allocated\"`\n   265→\tGpusAllocated   int    `db:\"gpus_allocated\"`\n   266→\tJobsRunning     int    `db:\"jobs_running\"`\n   267→\tHostname        string `db:\"hostname\"`\n   268→\tCluster         string `db:\"cluster\"`\n   269→\tSubCluster      string `db:\"subcluster\"`\n   270→}\n   271→\n   272→// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n   273→// joined with node info for denormalized archiving.\n   274→func (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n   275→\trows, err := sq.Select(\n   276→\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n   277→\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n   278→\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n   279→\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n   280→\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   281→\t).\n   282→\t\tFrom(\"node_state\").\n   283→\t\tJoin(\"node ON node_state.node_id = node.id\").\n   284→\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n   285→\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n   286→\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n   287→\t\tRunWith(r.DB).Query()\n   288→\tif err != nil {\n   289→\t\treturn nil, err\n   290→\t}\n   291→\tdefer rows.Close()\n   292→\n   293→\tvar result []NodeStateWithNode\n   294→\tfor rows.Next() {\n   295→\t\tvar ns NodeStateWithNode\n   296→\t\tvar healthMetrics sql.NullString\n   297→\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n   298→\t\t\t&ns.HealthState, &healthMetrics,\n   299→\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n   300→\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n   301→\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n   302→\t\t\treturn nil, err\n   303→\t\t}\n   304→\t\tns.HealthMetrics = healthMetrics.String\n   305→\t\tresult = append(result, ns)\n   306→\t}\n   307→\treturn result, nil\n   308→}\n   309→\n   310→// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n   311→// but always preserves the row with the latest timestamp per node_id.\n   312→func (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n   313→\tres, err := r.DB.Exec(\n   314→\t\t`DELETE FROM node_state WHERE time_stamp < ?\n   315→\t\t AND id NOT IN (\n   316→\t\t   SELECT id FROM node_state ns2\n   317→\t\t   WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n   318→\t\t )`,\n   319→\t\tcutoff,\n   320→\t)\n   321→\tif err != nil {\n   322→\t\treturn 0, err\n   323→\t}\n   324→\treturn res.RowsAffected()\n   325→}\n   326→\n   327→func (r *NodeRepository) DeleteNode(id int64) error {\n   328→\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n   329→\tif err != nil {\n   330→\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n   331→\t\treturn err\n   332→\t}\n   333→\tcclog.Infof(\"deleted node '%d' from DB\", id)\n   334→\treturn nil\n   335→}\n   336→\n   337→// QueryNodes returns a list of nodes based on a node filter. It always operates\n   338→// on the last state (largest timestamp).\n   339→func (r *NodeRepository) QueryNodes(\n   340→\tctx context.Context,\n   341→\tfilters []*model.NodeFilter,\n   342→\tpage *model.PageRequest,\n   343→\torder *model.OrderByInput, // Currently unused!\n   344→) ([]*schema.Node, error) {\n   345→\tquery, qerr := AccessCheck(ctx,\n   346→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   347→\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n   348→\t\t\tFrom(\"node\").\n   349→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   350→\t\t\tWhere(latestStateCondition()))\n   351→\tif qerr != nil {\n   352→\t\treturn nil, qerr\n   353→\t}\n   354→\n   355→\tquery = applyNodeFilters(query, filters)\n   356→\tquery = query.OrderBy(\"node.hostname ASC\")\n   357→\n   358→\tif page != nil && page.ItemsPerPage != -1 {\n   359→\t\tlimit := uint64(page.ItemsPerPage)\n   360→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n   361→\t}\n   362→\n   363→\trows, err := query.RunWith(r.stmtCache).Query()\n   364→\tif err != nil {\n   365→\t\tqueryString, queryVars, _ := query.ToSql()\n   366→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   367→\t\treturn nil, err\n   368→\t}\n   369→\tdefer rows.Close()\n   370→\n   371→\tnodes := make([]*schema.Node, 0)\n   372→\tfor rows.Next() {\n   373→\t\tnode := schema.Node{}\n   374→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n   375→\t\t\t&node.NodeState, &node.HealthState); err != nil {\n   376→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n   377→\t\t\treturn nil, err\n   378→\t\t}\n   379→\t\tnodes = append(nodes, &node)\n   380→\t}\n   381→\n   382→\tif err := rows.Err(); err != nil {\n   383→\t\treturn nil, err\n   384→\t}\n   385→\n   386→\treturn nodes, nil\n   387→}\n   388→\n   389→// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n   390→// on the last state (largest timestamp). It includes both (!) optional JSON column data\n   391→func (r *NodeRepository) QueryNodesWithMeta(\n   392→\tctx context.Context,\n   393→\tfilters []*model.NodeFilter,\n   394→\tpage *model.PageRequest,\n   395→\torder *model.OrderByInput, // Currently unused!\n   396→) ([]*schema.Node, error) {\n   397→\tquery, qerr := AccessCheck(ctx,\n   398→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   399→\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n   400→\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n   401→\t\t\tFrom(\"node\").\n   402→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   403→\t\t\tWhere(latestStateCondition()))\n   404→\tif qerr != nil {\n   405→\t\treturn nil, qerr\n   406→\t}\n   407→\n   408→\tquery = applyNodeFilters(query, filters)\n   409→\tquery = query.OrderBy(\"node.hostname ASC\")\n   410→\n   411→\tif page != nil && page.ItemsPerPage != -1 {\n   412→\t\tlimit := uint64(page.ItemsPerPage)\n   413→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n   414→\t}\n   415→\n   416→\trows, err := query.RunWith(r.stmtCache).Query()\n   417→\tif err != nil {\n   418→\t\tqueryString, queryVars, _ := query.ToSql()\n   419→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   420→\t\treturn nil, err\n   421→\t}\n   422→\tdefer rows.Close()\n   423→\n   424→\tnodes := make([]*schema.Node, 0)\n   425→\tfor rows.Next() {\n   426→\t\tnode := schema.Node{}\n   427→\t\tRawMetaData := make([]byte, 0)\n   428→\t\tRawMetricHealth := make([]byte, 0)\n   429→\n   430→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n   431→\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n   432→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n   433→\t\t\treturn nil, err\n   434→\t\t}\n   435→\n   436→\t\tif len(RawMetaData) == 0 {\n   437→\t\t\tnode.MetaData = nil\n   438→\t\t} else {\n   439→\t\t\tmetaData := make(map[string]string)\n   440→\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n   441→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n   442→\t\t\t\treturn nil, err\n   443→\t\t\t}\n   444→\t\t\tnode.MetaData = metaData\n   445→\t\t}\n   446→\n   447→\t\tif len(RawMetricHealth) == 0 {\n   448→\t\t\tnode.HealthData = nil\n   449→\t\t} else {\n   450→\t\t\thealthData := make(map[string][]string)\n   451→\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n   452→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n   453→\t\t\t\treturn nil, err\n   454→\t\t\t}\n   455→\t\t\tnode.HealthData = healthData\n   456→\t\t}\n   457→\n   458→\t\tnodes = append(nodes, &node)\n   459→\t}\n   460→\n   461→\tif err := rows.Err(); err != nil {\n   462→\t\treturn nil, err\n   463→\t}\n   464→\n   465→\treturn nodes, nil\n   466→}\n   467→\n   468→// CountNodes returns the total matched nodes based on a node filter. It always operates\n   469→// on the last state (largest timestamp) per node.\n   470→func (r *NodeRepository) CountNodes(\n   471→\tctx context.Context,\n   472→\tfilters []*model.NodeFilter,\n   473→) (int, error) {\n   474→\tquery, qerr := AccessCheck(ctx,\n   475→\t\tsq.Select(\"COUNT(*)\").\n   476→\t\t\tFrom(\"node\").\n   477→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   478→\t\t\tWhere(latestStateCondition()))\n   479→\tif qerr != nil {\n   480→\t\treturn 0, qerr\n   481→\t}\n   482→\n   483→\tquery = applyNodeFilters(query, filters)\n   484→\n   485→\tvar count int\n   486→\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n   487→\t\tqueryString, queryVars, _ := query.ToSql()\n   488→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   489→\t\treturn 0, err\n   490→\t}\n   491→\n   492→\treturn count, nil\n   493→}\n   494→\n   495→func (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n   496→\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   497→\t\t\"node_state.node_state\", \"node_state.health_state\").\n   498→\t\tFrom(\"node\").\n   499→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   500→\t\tWhere(latestStateCondition()).\n   501→\t\tWhere(\"node.cluster = ?\", cluster).\n   502→\t\tOrderBy(\"node.hostname ASC\")\n   503→\n   504→\trows, err := q.RunWith(r.DB).Query()\n   505→\tif err != nil {\n   506→\t\tcclog.Warn(\"Error while querying node list\")\n   507→\t\treturn nil, err\n   508→\t}\n   509→\tnodeList := make([]*schema.Node, 0, 100)\n   510→\tdefer rows.Close()\n   511→\tfor rows.Next() {\n   512→\t\tnode := &schema.Node{}\n   513→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n   514→\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n   515→\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n   516→\t\t\treturn nil, err\n   517→\t\t}\n   518→\n   519→\t\tnodeList = append(nodeList, node)\n   520→\t}\n   521→\n   522→\treturn nodeList, nil\n   523→}\n   524→\n   525→func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n   526→\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n   527→\t\tFrom(\"node\").\n   528→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   529→\t\tWhere(latestStateCondition()).\n   530→\t\tWhere(\"node.cluster = ?\", cluster).\n   531→\t\tOrderBy(\"node.hostname ASC\")\n   532→\n   533→\trows, err := q.RunWith(r.DB).Query()\n   534→\tif err != nil {\n   535→\t\tcclog.Warn(\"Error while querying node list\")\n   536→\t\treturn nil, err\n   537→\t}\n   538→\n   539→\tstateMap := make(map[string]string)\n   540→\tdefer rows.Close()\n   541→\tfor rows.Next() {\n   542→\t\tvar hostname, nodestate string\n   543→\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n   544→\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n   545→\t\t\treturn nil, err\n   546→\t\t}\n   547→\n   548→\t\tstateMap[hostname] = nodestate\n   549→\t}\n   550→\n   551→\treturn stateMap, nil\n   552→}\n   553→\n   554→func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n   555→\tquery, qerr := AccessCheck(ctx,\n   556→\t\tsq.Select(column, \"COUNT(*) as count\").\n   557→\t\t\tFrom(\"node\").\n   558→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   559→\t\t\tWhere(latestStateCondition()).\n   560→\t\t\tGroupBy(column))\n   561→\tif qerr != nil {\n   562→\t\treturn nil, qerr\n   563→\t}\n   564→\n   565→\tquery = applyNodeFilters(query, filters)\n   566→\n   567→\trows, err := query.RunWith(r.stmtCache).Query()\n   568→\tif err != nil {\n   569→\t\tqueryString, queryVars, _ := query.ToSql()\n   570→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   571→\t\treturn nil, err\n   572→\t}\n   573→\tdefer rows.Close()\n   574→\n   575→\tnodes := make([]*model.NodeStates, 0)\n   576→\tfor rows.Next() {\n   577→\t\tvar state string\n   578→\t\tvar count int\n   579→\t\tif err := rows.Scan(&state, &count); err != nil {\n   580→\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n   581→\t\t\treturn nil, err\n   582→\t\t}\n   583→\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n   584→\t}\n   585→\n   586→\tif err := rows.Err(); err != nil {\n   587→\t\treturn nil, err\n   588→\t}\n   589→\n   590→\treturn nodes, nil\n   591→}\n   592→\n   593→func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n   594→\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n   595→\tif qerr != nil {\n   596→\t\treturn nil, qerr\n   597→\t}\n   598→\n   599→\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n   600→\n   601→\tfor _, f := range filters {\n   602→\t\t// Required\n   603→\t\tif f.TimeStart != nil {\n   604→\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n   605→\t\t}\n   606→\t\t// Optional\n   607→\t\tif f.Hostname != nil {\n   608→\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n   609→\t\t}\n   610→\t\tif f.Cluster != nil {\n   611→\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n   612→\t\t}\n   613→\t\tif f.SubCluster != nil {\n   614→\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n   615→\t\t}\n   616→\t\tif f.SchedulerState != nil {\n   617→\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n   618→\t\t}\n   619→\t\tif f.HealthState != nil {\n   620→\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n   621→\t\t}\n   622→\t}\n   623→\n   624→\t// Add Group and Order\n   625→\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n   626→\n   627→\trows, err := query.RunWith(r.stmtCache).Query()\n   628→\tif err != nil {\n   629→\t\tqueryString, queryVars, _ := query.ToSql()\n   630→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   631→\t\treturn nil, err\n   632→\t}\n   633→\tdefer rows.Close()\n   634→\n   635→\trawData := make(map[string][][]int)\n   636→\tfor rows.Next() {\n   637→\t\tvar state string\n   638→\t\tvar timestamp, count int\n   639→\n   640→\t\tif err := rows.Scan(&state, &timestamp, &count); err != nil {\n   641→\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n   642→\t\t\treturn nil, err\n   643→\t\t}\n   644→\n   645→\t\tif rawData[state] == nil {\n   646→\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n   647→\t\t}\n   648→\n   649→\t\trawData[state][0] = append(rawData[state][0], timestamp)\n   650→\t\trawData[state][1] = append(rawData[state][1], count)\n   651→\t}\n   652→\n   653→\tif err := rows.Err(); err != nil {\n   654→\t\treturn nil, err\n   655→\t}\n   656→\n   657→\ttimedStates := make([]*model.NodeStatesTimed, 0)\n   658→\tfor state, data := range rawData {\n   659→\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n   660→\t\ttimedStates = append(timedStates, &entry)\n   661→\t}\n   662→\n   663→\treturn timedStates, nil\n   664→}\n   665→\n   666→func (r *NodeRepository) GetNodesForList(\n   667→\tctx context.Context,\n   668→\tcluster string,\n   669→\tsubCluster string,\n   670→\tstateFilter string,\n   671→\tnodeFilter string,\n   672→\tpage *model.PageRequest,\n   673→) ([]string, map[string]string, int, bool, error) {\n   674→\t// Init Return Vars\n   675→\tnodes := make([]string, 0)\n   676→\tstateMap := make(map[string]string)\n   677→\tcountNodes := 0\n   678→\thasNextPage := false\n   679→\n   680→\t// Build Filters\n   681→\tqueryFilters := make([]*model.NodeFilter, 0)\n   682→\tif cluster != \"\" {\n   683→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n   684→\t}\n   685→\tif subCluster != \"\" {\n   686→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n   687→\t}\n   688→\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n   689→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n   690→\t}\n   691→\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n   692→\t\tqueryState := schema.SchedulerState(stateFilter)\n   693→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n   694→\t}\n   695→\t// if healthFilter != \"all\" {\n   696→\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n   697→\t// }\n   698→\n   699→\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n   700→\tvar backupItems int\n   701→\tif stateFilter == \"notindb\" {\n   702→\t\tbackupItems = page.ItemsPerPage\n   703→\t\tpage.ItemsPerPage = -1\n   704→\t}\n   705→\n   706→\t// Query Nodes From DB\n   707→\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n   708→\tif serr != nil {\n   709→\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n   710→\t\treturn nil, nil, 0, false, serr\n   711→\t}\n   712→\n   713→\t// Intermediate Node Result Info\n   714→\tfor _, node := range rawNodes {\n   715→\t\tif node == nil {\n   716→\t\t\tcontinue\n   717→\t\t}\n   718→\t\tnodes = append(nodes, node.Hostname)\n   719→\t\tstateMap[node.Hostname] = string(node.NodeState)\n   720→\t}\n   721→\n   722→\t// Special Case: Find Nodes not in DB node table but in metricStore only\n   723→\tif stateFilter == \"notindb\" {\n   724→\t\t// Reapply Original Paging\n   725→\t\tpage.ItemsPerPage = backupItems\n   726→\t\t// Get Nodes From Topology\n   727→\t\tvar topoNodes []string\n   728→\t\tif subCluster != \"\" {\n   729→\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n   730→\t\t\ttopoNodes = scNodes.PrintList()\n   731→\t\t} else {\n   732→\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n   733→\t\t\tfor _, nodeList := range subClusterNodeLists {\n   734→\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n   735→\t\t\t}\n   736→\t\t}\n   737→\t\t// Compare to all nodes from cluster/subcluster in DB\n   738→\t\tvar missingNodes []string\n   739→\t\tfor _, scanNode := range topoNodes {\n   740→\t\t\tif !slices.Contains(nodes, scanNode) {\n   741→\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n   742→\t\t\t}\n   743→\t\t}\n   744→\t\t// Filter nodes by name\n   745→\t\tif nodeFilter != \"\" {\n   746→\t\t\tfilteredNodesByName := []string{}\n   747→\t\t\tfor _, missingNode := range missingNodes {\n   748→\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n   749→\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n   750→\t\t\t\t}\n   751→\t\t\t}\n   752→\t\t\tmissingNodes = filteredNodesByName\n   753→\t\t}\n   754→\t\t// Sort Missing Nodes Alphanumerically\n   755→\t\tslices.Sort(missingNodes)\n   756→\t\t// Total Missing\n   757→\t\tcountNodes = len(missingNodes)\n   758→\t\t// Apply paging\n   759→\t\tif countNodes > page.ItemsPerPage {\n   760→\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n   761→\t\t\tend := start + page.ItemsPerPage\n   762→\t\t\tif end > countNodes {\n   763→\t\t\t\tend = countNodes\n   764→\t\t\t\thasNextPage = false\n   765→\t\t\t} else {\n   766→\t\t\t\thasNextPage = true\n   767→\t\t\t}\n   768→\t\t\tnodes = missingNodes[start:end]\n   769→\t\t} else {\n   770→\t\t\tnodes = missingNodes\n   771→\t\t}\n   772→\n   773→\t} else {\n   774→\t\t// DB Nodes: Count and derive hasNextPage from count\n   775→\t\tvar cerr error\n   776→\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n   777→\t\tif cerr != nil {\n   778→\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n   779→\t\t\treturn nil, nil, 0, false, cerr\n   780→\t\t}\n   781→\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n   782→\t}\n   783→\n   784→\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n   785→\tif stateFilter == \"all\" && countNodes == 0 {\n   786→\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n   787→\t}\n   788→\n   789→\treturn nodes, stateMap, countNodes, hasNextPage, nil\n   790→}\n   791→\n   792→func AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n   793→\tuser := GetUserFromContext(ctx)\n   794→\treturn AccessCheckWithUser(user, query)\n   795→}\n   796→\n   797→func AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n   798→\tif user == nil {\n   799→\t\tvar qnil sq.SelectBuilder\n   800→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n   801→\t}\n   802→\n   803→\tswitch {\n   804→\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n   805→\t// \treturn query, nil\n   806→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n   807→\t\treturn query, nil\n   808→\tdefault: // No known Role: No Access, return error\n   809→\t\tvar qnil sq.SelectBuilder\n   810→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n   811→\t}\n   812→}\n   813→\n   814→func getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n   815→\t// 0) Init additional vars\n   816→\thasNextPage := false\n   817→\ttotalNodes := 0\n   818→\n   819→\t// 1) Get list of all nodes\n   820→\tvar topolNodes []string\n   821→\tif subCluster != \"\" {\n   822→\t\tscNodes := archive.NodeLists[cluster][subCluster]\n   823→\t\ttopolNodes = scNodes.PrintList()\n   824→\t} else {\n   825→\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n   826→\t\tfor _, nodeList := range subClusterNodeLists {\n   827→\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n   828→\t\t}\n   829→\t}\n   830→\n   831→\t// 2) Filter nodes\n   832→\tif nodeFilter != \"\" {\n   833→\t\tfilteredNodes := []string{}\n   834→\t\tfor _, node := range topolNodes {\n   835→\t\t\tif strings.Contains(node, nodeFilter) {\n   836→\t\t\t\tfilteredNodes = append(filteredNodes, node)\n   837→\t\t\t}\n   838→\t\t}\n   839→\t\ttopolNodes = filteredNodes\n   840→\t}\n   841→\n   842→\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n   843→\ttotalNodes = len(topolNodes)\n   844→\tsort.Strings(topolNodes)\n   845→\n   846→\t// 3) Apply paging\n   847→\tif len(topolNodes) > page.ItemsPerPage {\n   848→\t\tstart := (page.Page - 1) * page.ItemsPerPage\n   849→\t\tend := start + page.ItemsPerPage\n   850→\t\tif end >= len(topolNodes) {\n   851→\t\t\tend = len(topolNodes)\n   852→\t\t\thasNextPage = false\n   853→\t\t} else {\n   854→\t\t\thasNextPage = true\n   855→\t\t}\n   856→\t\ttopolNodes = topolNodes[start:end]\n   857→\t}\n   858→\n   859→\treturn topolNodes, totalNodes, hasNextPage\n   860→}\n   861→"}]},"uuid":"2188f7a5-cd29-489c-9a95-04382c575155","timestamp":"2026-03-16T10:12:41.122Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sort\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\tnodeRepoOnce     sync.Once\n\tnodeRepoInstance *NodeRepository\n)\n\ntype NodeRepository struct {\n\tDB        *sqlx.DB\n\tstmtCache *sq.StmtCache\n\tcache     *lrucache.Cache\n\tdriver    string\n}\n\nfunc GetNodeRepository() *NodeRepository {\n\tnodeRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tnodeRepoInstance = &NodeRepository{\n\t\t\tDB:     db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache:     lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn nodeRepoInstance\n}\n\n// latestStateCondition returns a squirrel expression that restricts node_state\n// rows to the latest per node_id using a correlated subquery.\n// Requires the query to join node and node_state tables.\nfunc latestStateCondition() sq.Sqlizer {\n\treturn sq.Expr(\n\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n\t)\n}\n\n// applyNodeFilters applies common NodeFilter conditions to a query that joins\n// the node and node_state tables with latestStateCondition.\nfunc applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\treturn query\n}\n\nfunc (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n\tstart := time.Now()\n\n\tRawMetaData := make([]byte, 0)\n\n\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n\t\tcclog.Warn(\"Error while scanning for node metadata\")\n\t\treturn nil, err\n\t}\n\n\tif len(RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tMetaData := make(map[string]string)\n\n\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn MetaData, nil\n}\n\nfunc (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tvar err error\n\t\tvar meta map[string]string\n\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n\t\t\treturn nil, err\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\nfunc (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.id = ?\", id).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n\t\tif metaErr != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n\t\t\treturn nil, metaErr\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\n// const NamedNodeInsert string = `\n// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n//\n//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n\nconst NamedNodeInsert string = `\nINSERT INTO node (hostname, cluster, subcluster)\n\tVALUES (:hostname, :cluster, :subcluster);`\n\n// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n// from a nodestate update from the job scheduler.\nfunc (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n\tvar err error\n\n\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\tnode.ID, err = res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\n\treturn node.ID, nil\n}\n\nconst NamedNodeStateInsert string = `\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n\n// TODO: Add real Monitoring Health State\n\n// UpdateNodeState is called from the Node REST API to add a row in the node state table\nfunc (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n\tvar id int64\n\n\tif err := sq.Select(\"id\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n\t\tQueryRow().Scan(&id); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tnode := schema.NodeDB{\n\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n\t\t\t}\n\t\t\tid, err = r.AddNode(&node)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n\t\t\treturn err\n\t\t}\n\t}\n\n\tnodeState.NodeID = id\n\n\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n\t\treturn err\n\t}\n\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n// \t\treturn err\n// \t}\n//\n// \treturn nil\n// }\n\n// NodeStateWithNode combines a node state row with denormalized node info.\ntype NodeStateWithNode struct {\n\tID              int64  `db:\"id\"`\n\tTimeStamp       int64  `db:\"time_stamp\"`\n\tNodeState       string `db:\"node_state\"`\n\tHealthState     string `db:\"health_state\"`\n\tHealthMetrics   string `db:\"health_metrics\"`\n\tCpusAllocated   int    `db:\"cpus_allocated\"`\n\tMemoryAllocated int64  `db:\"memory_allocated\"`\n\tGpusAllocated   int    `db:\"gpus_allocated\"`\n\tJobsRunning     int    `db:\"jobs_running\"`\n\tHostname        string `db:\"hostname\"`\n\tCluster         string `db:\"cluster\"`\n\tSubCluster      string `db:\"subcluster\"`\n}\n\n// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n// joined with node info for denormalized archiving.\nfunc (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n\trows, err := sq.Select(\n\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t).\n\t\tFrom(\"node_state\").\n\t\tJoin(\"node ON node_state.node_id = node.id\").\n\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n\t\tRunWith(r.DB).Query()\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tvar result []NodeStateWithNode\n\tfor rows.Next() {\n\t\tvar ns NodeStateWithNode\n\t\tvar healthMetrics sql.NullString\n\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n\t\t\t&ns.HealthState, &healthMetrics,\n\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tns.HealthMetrics = healthMetrics.String\n\t\tresult = append(result, ns)\n\t}\n\treturn result, nil\n}\n\n// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n// but always preserves the row with the latest timestamp per node_id.\nfunc (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t`DELETE FROM node_state WHERE time_stamp < ?\n\t\t AND id NOT IN (\n\t\t   SELECT id FROM node_state ns2\n\t\t   WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n\t\t )`,\n\t\tcutoff,\n\t)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn res.RowsAffected()\n}\n\nfunc (r *NodeRepository) DeleteNode(id int64) error {\n\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted node '%d' from DB\", id)\n\treturn nil\n}\n\n// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.\nfunc (r *NodeRepository) CountNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n) (int, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column, \"COUNT(*) as count\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()).\n\t\t\tGroupBy(column))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, &timestamp, &count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,\n\tpage *model.PageRequest,\n) ([]string, map[string]string, int, bool, error) {\n\t// Init Return Vars\n\tnodes := make([]string, 0)\n\tstateMap := make(map[string]string)\n\tcountNodes := 0\n\thasNextPage := false\n\n\t// Build Filters\n\tqueryFilters := make([]*model.NodeFilter, 0)\n\tif cluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n\t}\n\tif subCluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n\t}\n\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n\t}\n\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n\t\tqueryState := schema.SchedulerState(stateFilter)\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n\t}\n\t// if healthFilter != \"all\" {\n\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n\t// }\n\n\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n\tvar backupItems int\n\tif stateFilter == \"notindb\" {\n\t\tbackupItems = page.ItemsPerPage\n\t\tpage.ItemsPerPage = -1\n\t}\n\n\t// Query Nodes From DB\n\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n\tif serr != nil {\n\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n\t\treturn nil, nil, 0, false, serr\n\t}\n\n\t// Intermediate Node Result Info\n\tfor _, node := range rawNodes {\n\t\tif node == nil {\n\t\t\tcontinue\n\t\t}\n\t\tnodes = append(nodes, node.Hostname)\n\t\tstateMap[node.Hostname] = string(node.NodeState)\n\t}\n\n\t// Special Case: Find Nodes not in DB node table but in metricStore only\n\tif stateFilter == \"notindb\" {\n\t\t// Reapply Original Paging\n\t\tpage.ItemsPerPage = backupItems\n\t\t// Get Nodes From Topology\n\t\tvar topoNodes []string\n\t\tif subCluster != \"\" {\n\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\t\ttopoNodes = scNodes.PrintList()\n\t\t} else {\n\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n\t\t\t}\n\t\t}\n\t\t// Compare to all nodes from cluster/subcluster in DB\n\t\tvar missingNodes []string\n\t\tfor _, scanNode := range topoNodes {\n\t\t\tif !slices.Contains(nodes, scanNode) {\n\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n\t\t\t}\n\t\t}\n\t\t// Filter nodes by name\n\t\tif nodeFilter != \"\" {\n\t\t\tfilteredNodesByName := []string{}\n\t\t\tfor _, missingNode := range missingNodes {\n\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n\t\t\t\t}\n\t\t\t}\n\t\t\tmissingNodes = filteredNodesByName\n\t\t}\n\t\t// Sort Missing Nodes Alphanumerically\n\t\tslices.Sort(missingNodes)\n\t\t// Total Missing\n\t\tcountNodes = len(missingNodes)\n\t\t// Apply paging\n\t\tif countNodes > page.ItemsPerPage {\n\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\t\tend := start + page.ItemsPerPage\n\t\t\tif end > countNodes {\n\t\t\t\tend = countNodes\n\t\t\t\thasNextPage = false\n\t\t\t} else {\n\t\t\t\thasNextPage = true\n\t\t\t}\n\t\t\tnodes = missingNodes[start:end]\n\t\t} else {\n\t\t\tnodes = missingNodes\n\t\t}\n\n\t} else {\n\t\t// DB Nodes: Count and derive hasNextPage from count\n\t\tvar cerr error\n\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n\t\tif cerr != nil {\n\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n\t\t\treturn nil, nil, 0, false, cerr\n\t\t}\n\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n\t}\n\n\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n\tif stateFilter == \"all\" && countNodes == 0 {\n\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n\t}\n\n\treturn nodes, stateMap, countNodes, hasNextPage, nil\n}\n\nfunc AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn AccessCheckWithUser(user, query)\n}\n\nfunc AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n\t// \treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n\t\treturn query, nil\n\tdefault: // No known Role: No Access, return error\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\nfunc getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n\t// 0) Init additional vars\n\thasNextPage := false\n\ttotalNodes := 0\n\n\t// 1) Get list of all nodes\n\tvar topolNodes []string\n\tif subCluster != \"\" {\n\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\ttopolNodes = scNodes.PrintList()\n\t} else {\n\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n\t\t}\n\t}\n\n\t// 2) Filter nodes\n\tif nodeFilter != \"\" {\n\t\tfilteredNodes := []string{}\n\t\tfor _, node := range topolNodes {\n\t\t\tif strings.Contains(node, nodeFilter) {\n\t\t\t\tfilteredNodes = append(filteredNodes, node)\n\t\t\t}\n\t\t}\n\t\ttopolNodes = filteredNodes\n\t}\n\n\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n\ttotalNodes = len(topolNodes)\n\tsort.Strings(topolNodes)\n\n\t// 3) Apply paging\n\tif len(topolNodes) > page.ItemsPerPage {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tend := start + page.ItemsPerPage\n\t\tif end >= len(topolNodes) {\n\t\t\tend = len(topolNodes)\n\t\t\thasNextPage = false\n\t\t} else {\n\t\t\thasNextPage = true\n\t\t}\n\t\ttopolNodes = topolNodes[start:end]\n\t}\n\n\treturn topolNodes, totalNodes, hasNextPage\n}\n","numLines":861,"startLine":1,"totalLines":861}},"sourceToolAssistantUUID":"d8f1148f-83ce-49d1-8a7f-4e6531306bf4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"c8d3f293-f0a4-4c69-a19e-1f7a97d640ab","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SbAkMWCk98L7vU7dNCyC7L","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"database/sql\"\n    10→\t\"encoding/json\"\n    11→\t\"strings\"\n    12→\t\"sync\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n    21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n    23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    24→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n    25→)\n    26→\n    27→// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n    28→// It mirrors the functionality of the REST API but uses NATS messaging with\n    29→// InfluxDB line protocol as the message format.\n    30→//\n    31→// # Message Format\n    32→//\n    33→// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n    34→// with the following structure:\n    35→//\n    36→//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n    37→//\n    38→// # Job Events\n    39→//\n    40→// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n    41→//\n    42→//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n    43→//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n    44→//\n    45→// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n    46→//\n    47→// Example job start message:\n    48→//\n    49→//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n    50→//\n    51→// # Node State Events\n    52→//\n    53→// Node state updates use the \"nodestate\" measurement with cluster information:\n    54→//\n    55→//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n    56→//\n    57→// The JSON payload follows the UpdateNodeStatesRequest structure.\n    58→//\n    59→// Example node state message:\n    60→//\n    61→//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\n    62→type NatsAPI struct {\n    63→\tJobRepository *repository.JobRepository\n    64→\t// RepositoryMutex protects job creation operations from race conditions\n    65→\t// when checking for duplicate jobs during startJob calls.\n    66→\tRepositoryMutex sync.Mutex\n    67→}\n    68→\n    69→// NewNatsAPI creates a new NatsAPI instance with default dependencies.\n    70→func NewNatsAPI() *NatsAPI {\n    71→\treturn &NatsAPI{\n    72→\t\tJobRepository: repository.GetJobRepository(),\n    73→\t}\n    74→}\n    75→\n    76→// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n    77→// Returns an error if the NATS client is not available or subscription fails.\n    78→func (api *NatsAPI) StartSubscriptions() error {\n    79→\tclient := nats.GetClient()\n    80→\tif client == nil {\n    81→\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n    82→\t\treturn nil\n    83→\t}\n    84→\n    85→\tif config.Keys.APISubjects != nil {\n    86→\n    87→\t\ts := config.Keys.APISubjects\n    88→\n    89→\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n    90→\t\t\treturn err\n    91→\t\t}\n    92→\n    93→\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n    94→\t\t\treturn err\n    95→\t\t}\n    96→\n    97→\t\tcclog.Info(\"NATS API subscriptions started\")\n    98→\t}\n    99→\treturn nil\n   100→}\n   101→\n   102→// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n   103→// Validates that required tags and fields are present before processing.\n   104→func (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n   105→\tfunction, ok := msg.GetTag(\"function\")\n   106→\tif !ok {\n   107→\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n   108→\t\treturn\n   109→\t}\n   110→\n   111→\tswitch function {\n   112→\tcase \"start_job\":\n   113→\t\tv, ok := msg.GetEventValue()\n   114→\t\tif !ok {\n   115→\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n   116→\t\t\treturn\n   117→\t\t}\n   118→\t\tapi.handleStartJob(v)\n   119→\n   120→\tcase \"stop_job\":\n   121→\t\tv, ok := msg.GetEventValue()\n   122→\t\tif !ok {\n   123→\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n   124→\t\t\treturn\n   125→\t\t}\n   126→\t\tapi.handleStopJob(v)\n   127→\n   128→\tdefault:\n   129→\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n   130→\t}\n   131→}\n   132→\n   133→// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n   134→// The message must be in line protocol format with measurement=\"job\" and include:\n   135→//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n   136→//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n   137→//\n   138→// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\n   139→func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n   140→\tif len(data) == 0 {\n   141→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n   142→\t\treturn\n   143→\t}\n   144→\n   145→\td := influx.NewDecoderWithBytes(data)\n   146→\n   147→\tfor d.Next() {\n   148→\t\tm, err := receivers.DecodeInfluxMessage(d)\n   149→\t\tif err != nil {\n   150→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n   151→\t\t\treturn\n   152→\t\t}\n   153→\n   154→\t\tif !m.IsEvent() {\n   155→\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n   156→\t\t\tcontinue\n   157→\t\t}\n   158→\n   159→\t\tif m.Name() == \"job\" {\n   160→\t\t\tapi.processJobEvent(m)\n   161→\t\t} else {\n   162→\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n   163→\t\t}\n   164→\t}\n   165→}\n   166→\n   167→// handleStartJob processes job start messages received via NATS.\n   168→// The payload parameter contains JSON following the schema.Job structure.\n   169→// Jobs are validated, checked for duplicates, and inserted into the database.\n   170→func (api *NatsAPI) handleStartJob(payload string) {\n   171→\tif payload == \"\" {\n   172→\t\tcclog.Error(\"NATS start job: payload is empty\")\n   173→\t\treturn\n   174→\t}\n   175→\treq := schema.Job{\n   176→\t\tShared:           \"none\",\n   177→\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n   178→\t}\n   179→\n   180→\tdec := json.NewDecoder(strings.NewReader(payload))\n   181→\tdec.DisallowUnknownFields()\n   182→\tif err := dec.Decode(&req); err != nil {\n   183→\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n   184→\t\treturn\n   185→\t}\n   186→\n   187→\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n   188→\treq.State = schema.JobStateRunning\n   189→\n   190→\tif err := importer.SanityChecks(&req); err != nil {\n   191→\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n   192→\t\treturn\n   193→\t}\n   194→\n   195→\tvar unlockOnce sync.Once\n   196→\tapi.RepositoryMutex.Lock()\n   197→\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n   198→\n   199→\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n   200→\tif err != nil && err != sql.ErrNoRows {\n   201→\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n   202→\t\treturn\n   203→\t}\n   204→\tif err == nil {\n   205→\t\tfor _, job := range jobs {\n   206→\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n   207→\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n   208→\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n   209→\t\t\t\treturn\n   210→\t\t\t}\n   211→\t\t}\n   212→\t}\n   213→\n   214→\t// When tags are present, insert directly into the job table so that the\n   215→\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n   216→\tvar id int64\n   217→\tif len(req.Tags) > 0 {\n   218→\t\tid, err = api.JobRepository.StartDirect(&req)\n   219→\t} else {\n   220→\t\tid, err = api.JobRepository.Start(&req)\n   221→\t}\n   222→\tif err != nil {\n   223→\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n   224→\t\treturn\n   225→\t}\n   226→\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n   227→\n   228→\tfor _, tag := range req.Tags {\n   229→\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n   230→\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n   231→\t\t\treturn\n   232→\t\t}\n   233→\t}\n   234→\n   235→\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n   236→\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n   237→}\n   238→\n   239→// handleStopJob processes job stop messages received via NATS.\n   240→// The payload parameter contains JSON following the StopJobAPIRequest structure.\n   241→// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\n   242→func (api *NatsAPI) handleStopJob(payload string) {\n   243→\tif payload == \"\" {\n   244→\t\tcclog.Error(\"NATS stop job: payload is empty\")\n   245→\t\treturn\n   246→\t}\n   247→\tvar req StopJobAPIRequest\n   248→\n   249→\tdec := json.NewDecoder(strings.NewReader(payload))\n   250→\tdec.DisallowUnknownFields()\n   251→\tif err := dec.Decode(&req); err != nil {\n   252→\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n   253→\t\treturn\n   254→\t}\n   255→\n   256→\tif req.JobID == nil {\n   257→\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n   258→\t\treturn\n   259→\t}\n   260→\n   261→\tisCached := false\n   262→\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n   263→\tif err != nil {\n   264→\t\t// Not in cache, try main job table\n   265→\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n   266→\t\tif err != nil {\n   267→\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n   268→\t\t\treturn\n   269→\t\t}\n   270→\t} else {\n   271→\t\tisCached = true\n   272→\t}\n   273→\n   274→\tif job.State != schema.JobStateRunning {\n   275→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n   276→\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n   277→\t\treturn\n   278→\t}\n   279→\n   280→\tif job.StartTime > req.StopTime {\n   281→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n   282→\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n   283→\t\treturn\n   284→\t}\n   285→\n   286→\tif req.State != \"\" && !req.State.Valid() {\n   287→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n   288→\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n   289→\t\treturn\n   290→\t} else if req.State == \"\" {\n   291→\t\treq.State = schema.JobStateCompleted\n   292→\t}\n   293→\n   294→\tjob.Duration = int32(req.StopTime - job.StartTime)\n   295→\tjob.State = req.State\n   296→\tapi.JobRepository.Mutex.Lock()\n   297→\tdefer api.JobRepository.Mutex.Unlock()\n   298→\n   299→\t// If the job is still in job_cache, transfer it to the job table first\n   300→\tif isCached {\n   301→\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n   302→\t\tif err != nil {\n   303→\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n   304→\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n   305→\t\t\treturn\n   306→\t\t}\n   307→\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n   308→\t\tjob.ID = &newID\n   309→\t}\n   310→\n   311→\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n   312→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n   313→\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n   314→\t\treturn\n   315→\t}\n   316→\n   317→\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n   318→\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n   319→\n   320→\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n   321→\t\treturn\n   322→\t}\n   323→\n   324→\tarchiver.TriggerArchiving(job)\n   325→}\n   326→\n   327→// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n   328→// Updates node states in the repository for all nodes in the payload.\n   329→func (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n   330→\tv, ok := msg.GetEventValue()\n   331→\tif !ok {\n   332→\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n   333→\t\treturn\n   334→\t}\n   335→\n   336→\tvar req UpdateNodeStatesRequest\n   337→\n   338→\tdec := json.NewDecoder(strings.NewReader(v))\n   339→\tdec.DisallowUnknownFields()\n   340→\tif err := dec.Decode(&req); err != nil {\n   341→\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n   342→\t\treturn\n   343→\t}\n   344→\n   345→\trepo := repository.GetNodeRepository()\n   346→\trequestReceived := time.Now().Unix()\n   347→\n   348→\tfor _, node := range req.Nodes {\n   349→\t\tstate := determineState(node.States)\n   350→\t\tnodeState := schema.NodeStateDB{\n   351→\t\t\tTimeStamp:       requestReceived,\n   352→\t\t\tNodeState:       state,\n   353→\t\t\tCpusAllocated:   node.CpusAllocated,\n   354→\t\t\tMemoryAllocated: node.MemoryAllocated,\n   355→\t\t\tGpusAllocated:   node.GpusAllocated,\n   356→\t\t\tHealthState:     schema.MonitoringStateFull,\n   357→\t\t\tJobsRunning:     node.JobsRunning,\n   358→\t\t}\n   359→\n   360→\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n   361→\t\t\tcclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",\n   362→\t\t\t\tnode.Hostname, req.Cluster, err)\n   363→\t\t}\n   364→\t}\n   365→\n   366→\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n   367→}\n   368→\n   369→// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n   370→// The message must be in line protocol format with measurement=\"nodestate\" and include:\n   371→//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n   372→//\n   373→// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\n   374→func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n   375→\tif len(data) == 0 {\n   376→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n   377→\t\treturn\n   378→\t}\n   379→\n   380→\td := influx.NewDecoderWithBytes(data)\n   381→\n   382→\tfor d.Next() {\n   383→\t\tm, err := receivers.DecodeInfluxMessage(d)\n   384→\t\tif err != nil {\n   385→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n   386→\t\t\treturn\n   387→\t\t}\n   388→\n   389→\t\tif !m.IsEvent() {\n   390→\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n   391→\t\t\tcontinue\n   392→\t\t}\n   393→\n   394→\t\tif m.Name() == \"nodestate\" {\n   395→\t\t\tapi.processNodestateEvent(m)\n   396→\t\t} else {\n   397→\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n   398→\t\t}\n   399→\t}\n   400→}\n   401→"}]},"uuid":"186dcc55-1ec7-4336-abee-c9a5e56c2a8f","timestamp":"2026-03-16T10:12:41.400Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","numLines":401,"startLine":1,"totalLines":401}},"sourceToolAssistantUUID":"c8d3f293-f0a4-4c69-a19e-1f7a97d640ab","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"186dcc55-1ec7-4336-abee-c9a5e56c2a8f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014TL3pbSWBVr2pivAjUxp1C","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"2778e110-6ad8-4f0f-901e-a221ad5b2824","timestamp":"2026-03-16T10:12:41.836Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"2778e110-6ad8-4f0f-901e-a221ad5b2824","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_014TL3pbSWBVr2pivAjUxp1C","toolUseID":"toolu_014TL3pbSWBVr2pivAjUxp1C","timestamp":"2026-03-16T10:12:41.843Z","uuid":"9129b1db-0ee2-467a-9ec9-212b396d1bb4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"2778e110-6ad8-4f0f-901e-a221ad5b2824","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014TL3pbSWBVr2pivAjUxp1C","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"fmt\"\n    10→\t\"maps\"\n    11→\t\"net/http\"\n    12→\t\"strings\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→)\n    22→\n    23→type UpdateNodeStatesRequest struct {\n    24→\tNodes   []schema.NodePayload `json:\"nodes\"`\n    25→\tCluster string               `json:\"cluster\" example:\"fritz\"`\n    26→}\n    27→\n    28→// metricListToNames converts a map of metric configurations to a list of metric names\n    29→func metricListToNames(metricList map[string]*schema.Metric) []string {\n    30→\tnames := make([]string, 0, len(metricList))\n    31→\tfor name := range metricList {\n    32→\t\tnames = append(names, name)\n    33→\t}\n    34→\treturn names\n    35→}\n    36→\n    37→// this routine assumes that only one of them exists per node\n    38→func determineState(states []string) schema.SchedulerState {\n    39→\tfor _, state := range states {\n    40→\t\tswitch strings.ToLower(state) {\n    41→\t\tcase \"allocated\":\n    42→\t\t\treturn schema.NodeStateAllocated\n    43→\t\tcase \"reserved\":\n    44→\t\t\treturn schema.NodeStateReserved\n    45→\t\tcase \"idle\":\n    46→\t\t\treturn schema.NodeStateIdle\n    47→\t\tcase \"down\":\n    48→\t\t\treturn schema.NodeStateDown\n    49→\t\tcase \"mixed\":\n    50→\t\t\treturn schema.NodeStateMixed\n    51→\t\t}\n    52→\t}\n    53→\n    54→\treturn schema.NodeStateUnknown\n    55→}\n    56→\n    57→// updateNodeStates godoc\n    58→// @summary     Deliver updated Slurm node states\n    59→// @tags Nodestates\n    60→// @description Returns a JSON-encoded list of users.\n    61→// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n    62→// @produce     json\n    63→// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n    64→// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n    65→// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n    66→// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n    67→// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n    68→// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n    69→// @security    ApiKeyAuth\n    70→// @router      /api/nodestats/ [post]\n    71→func (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n    72→\t// Parse request body\n    73→\treq := UpdateNodeStatesRequest{}\n    74→\tif err := decode(r.Body, &req); err != nil {\n    75→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n    76→\t\t\thttp.StatusBadRequest, rw)\n    77→\t\treturn\n    78→\t}\n    79→\trequestReceived := time.Now().Unix()\n    80→\trepo := repository.GetNodeRepository()\n    81→\n    82→\tm := make(map[string][]string)\n    83→\tmetricNames := make(map[string][]string)\n    84→\thealthResults := make(map[string]metricstore.HealthCheckResult)\n    85→\n    86→\tstartMs := time.Now()\n    87→\n    88→\t// Step 1: Build nodeList and metricList per subcluster\n    89→\tfor _, node := range req.Nodes {\n    90→\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n    91→\t\t\tm[sc] = append(m[sc], node.Hostname)\n    92→\t\t}\n    93→\t}\n    94→\n    95→\tfor sc := range m {\n    96→\t\tif sc != \"\" {\n    97→\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n    98→\t\t\tmetricNames[sc] = metricListToNames(metricList)\n    99→\t\t}\n   100→\t}\n   101→\n   102→\t// Step 2: Determine which metric store to query and perform health check\n   103→\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n   104→\tif err != nil {\n   105→\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n   106→\t} else {\n   107→\t\tfor sc, nl := range m {\n   108→\t\t\tif sc != \"\" {\n   109→\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n   110→\t\t\t\t\tmaps.Copy(healthResults, results)\n   111→\t\t\t\t}\n   112→\t\t\t}\n   113→\t\t}\n   114→\t}\n   115→\n   116→\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n   117→\tstartDB := time.Now()\n   118→\n   119→\tfor _, node := range req.Nodes {\n   120→\t\tstate := determineState(node.States)\n   121→\t\thealthState := schema.MonitoringStateFailed\n   122→\t\tvar healthMetrics string\n   123→\t\tif result, ok := healthResults[node.Hostname]; ok {\n   124→\t\t\thealthState = result.State\n   125→\t\t\thealthMetrics = result.HealthMetrics\n   126→\t\t}\n   127→\t\tnodeState := schema.NodeStateDB{\n   128→\t\t\tTimeStamp:       requestReceived,\n   129→\t\t\tNodeState:       state,\n   130→\t\t\tCpusAllocated:   node.CpusAllocated,\n   131→\t\t\tMemoryAllocated: node.MemoryAllocated,\n   132→\t\t\tGpusAllocated:   node.GpusAllocated,\n   133→\t\t\tHealthState:     healthState,\n   134→\t\t\tHealthMetrics:   healthMetrics,\n   135→\t\t\tJobsRunning:     node.JobsRunning,\n   136→\t\t}\n   137→\n   138→\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n   139→\t\t\tcclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",\n   140→\t\t\t\tnode.Hostname, req.Cluster, err)\n   141→\t\t}\n   142→\t}\n   143→\n   144→\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n   145→}\n   146→"}]},"uuid":"78f555f7-8f16-44fa-b61b-ca0e4f57eefa","timestamp":"2026-03-16T10:12:41.842Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"fmt\"\n\t\"maps\"\n\t\"net/http\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\ntype UpdateNodeStatesRequest struct {\n\tNodes   []schema.NodePayload `json:\"nodes\"`\n\tCluster string               `json:\"cluster\" example:\"fritz\"`\n}\n\n// metricListToNames converts a map of metric configurations to a list of metric names\nfunc metricListToNames(metricList map[string]*schema.Metric) []string {\n\tnames := make([]string, 0, len(metricList))\n\tfor name := range metricList {\n\t\tnames = append(names, name)\n\t}\n\treturn names\n}\n\n// this routine assumes that only one of them exists per node\nfunc determineState(states []string) schema.SchedulerState {\n\tfor _, state := range states {\n\t\tswitch strings.ToLower(state) {\n\t\tcase \"allocated\":\n\t\t\treturn schema.NodeStateAllocated\n\t\tcase \"reserved\":\n\t\t\treturn schema.NodeStateReserved\n\t\tcase \"idle\":\n\t\t\treturn schema.NodeStateIdle\n\t\tcase \"down\":\n\t\t\treturn schema.NodeStateDown\n\t\tcase \"mixed\":\n\t\t\treturn schema.NodeStateMixed\n\t\t}\n\t}\n\n\treturn schema.NodeStateUnknown\n}\n\n// updateNodeStates godoc\n// @summary     Deliver updated Slurm node states\n// @tags Nodestates\n// @description Returns a JSON-encoded list of users.\n// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n// @produce     json\n// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/nodestats/ [post]\nfunc (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n\t// Parse request body\n\treq := UpdateNodeStatesRequest{}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n\t\t\thttp.StatusBadRequest, rw)\n\t\treturn\n\t}\n\trequestReceived := time.Now().Unix()\n\trepo := repository.GetNodeRepository()\n\n\tm := make(map[string][]string)\n\tmetricNames := make(map[string][]string)\n\thealthResults := make(map[string]metricstore.HealthCheckResult)\n\n\tstartMs := time.Now()\n\n\t// Step 1: Build nodeList and metricList per subcluster\n\tfor _, node := range req.Nodes {\n\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n\t\t\tm[sc] = append(m[sc], node.Hostname)\n\t\t}\n\t}\n\n\tfor sc := range m {\n\t\tif sc != \"\" {\n\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n\t\t\tmetricNames[sc] = metricListToNames(metricList)\n\t\t}\n\t}\n\n\t// Step 2: Determine which metric store to query and perform health check\n\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n\tif err != nil {\n\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n\t} else {\n\t\tfor sc, nl := range m {\n\t\t\tif sc != \"\" {\n\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n\t\t\t\t\tmaps.Copy(healthResults, results)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     healthState,\n\t\t\tHealthMetrics:   healthMetrics,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n}\n","numLines":146,"startLine":1,"totalLines":146}},"sourceToolAssistantUUID":"2778e110-6ad8-4f0f-901e-a221ad5b2824","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"78f555f7-8f16-44fa-b61b-ca0e4f57eefa","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QZn1z7o6wW6qHVFPQ63xir","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"ab33adee-9926-4c38-af68-7a0b5d885ff8","timestamp":"2026-03-16T10:12:42.245Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"ab33adee-9926-4c38-af68-7a0b5d885ff8","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01QZn1z7o6wW6qHVFPQ63xir","toolUseID":"toolu_01QZn1z7o6wW6qHVFPQ63xir","timestamp":"2026-03-16T10:12:42.250Z","uuid":"8ec2b218-0906-411c-a125-b9d46a9cbf93","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"ab33adee-9926-4c38-af68-7a0b5d885ff8","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QZn1z7o6wW6qHVFPQ63xir","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package repository\n     6→\n     7→import (\n     8→\t\"context\"\n     9→\t\"database/sql\"\n    10→\t\"encoding/json\"\n    11→\t\"errors\"\n    12→\t\"fmt\"\n    13→\t\"reflect\"\n    14→\t\"strings\"\n    15→\t\"sync\"\n    16→\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→\tsq \"github.com/Masterminds/squirrel\"\n    22→\t\"github.com/jmoiron/sqlx\"\n    23→\t\"golang.org/x/crypto/bcrypt\"\n    24→)\n    25→\n    26→// Authentication and Role System:\n    27→//\n    28→// ClusterCockpit supports multiple authentication sources:\n    29→//   - Local: Username/password stored in database (password hashed with bcrypt)\n    30→//   - LDAP: External LDAP/Active Directory authentication\n    31→//   - JWT: Token-based authentication for API access\n    32→//\n    33→// Role Hierarchy (from highest to lowest privilege):\n    34→//   1. \"admin\" - Full system access, can manage all users and jobs\n    35→//   2. \"support\" - Can view all jobs but limited management capabilities\n    36→//   3. \"manager\" - Can manage specific projects and their users\n    37→//   4. \"api\" - Programmatic access for job submission/management\n    38→//   5. \"user\" - Default role, can only view own jobs\n    39→//\n    40→// Project Association:\n    41→//   - Managers have a list of projects they oversee\n    42→//   - Regular users' project membership is determined by job data\n    43→//   - Managers can view/manage all jobs within their projects\n    44→\n    45→var (\n    46→\tuserRepoOnce     sync.Once\n    47→\tuserRepoInstance *UserRepository\n    48→)\n    49→\n    50→type UserRepository struct {\n    51→\tDB     *sqlx.DB\n    52→\tdriver string\n    53→}\n    54→\n    55→func GetUserRepository() *UserRepository {\n    56→\tuserRepoOnce.Do(func() {\n    57→\t\tdb := GetConnection()\n    58→\n    59→\t\tuserRepoInstance = &UserRepository{\n    60→\t\t\tDB:     db.DB,\n    61→\t\t\tdriver: db.Driver,\n    62→\t\t}\n    63→\t})\n    64→\treturn userRepoInstance\n    65→}\n    66→\n    67→// GetUser retrieves a user by username from the database.\n    68→// Returns the complete user record including hashed password, roles, and projects.\n    69→// Password field contains bcrypt hash for local auth users, empty for LDAP users.\n    70→func (r *UserRepository) GetUser(username string) (*schema.User, error) {\n    71→\tuser := &schema.User{Username: username}\n    72→\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n    73→\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n    74→\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n    75→\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n    76→\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n    77→\t\treturn nil, err\n    78→\t}\n    79→\n    80→\tuser.Password = hashedPassword.String\n    81→\tuser.Name = name.String\n    82→\tuser.Email = email.String\n    83→\tif rawRoles.Valid {\n    84→\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n    85→\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n    86→\t\t\treturn nil, err\n    87→\t\t}\n    88→\t}\n    89→\tif rawProjects.Valid {\n    90→\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n    91→\t\t\treturn nil, err\n    92→\t\t}\n    93→\t}\n    94→\n    95→\treturn user, nil\n    96→}\n    97→\n    98→func (r *UserRepository) GetLdapUsernames() ([]string, error) {\n    99→\tvar users []string\n   100→\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n   101→\tif err != nil {\n   102→\t\tcclog.Warn(\"Error while querying usernames\")\n   103→\t\treturn nil, err\n   104→\t}\n   105→\tdefer rows.Close()\n   106→\n   107→\tfor rows.Next() {\n   108→\t\tvar username string\n   109→\t\tif err := rows.Scan(&username); err != nil {\n   110→\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n   111→\t\t\treturn nil, err\n   112→\t\t}\n   113→\n   114→\t\tusers = append(users, username)\n   115→\t}\n   116→\n   117→\treturn users, nil\n   118→}\n   119→\n   120→// AddUser creates a new user in the database.\n   121→// Passwords are automatically hashed with bcrypt before storage.\n   122→// Auth source determines authentication method (local, LDAP, etc.).\n   123→//\n   124→// Required fields: Username, Roles\n   125→// Optional fields: Name, Email, Password, Projects, AuthSource\n   126→func (r *UserRepository) AddUser(user *schema.User) error {\n   127→\trolesJson, _ := json.Marshal(user.Roles)\n   128→\tprojectsJson, _ := json.Marshal(user.Projects)\n   129→\n   130→\tcols := []string{\"username\", \"roles\", \"projects\"}\n   131→\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n   132→\n   133→\tif user.Name != \"\" {\n   134→\t\tcols = append(cols, \"name\")\n   135→\t\tvals = append(vals, user.Name)\n   136→\t}\n   137→\tif user.Email != \"\" {\n   138→\t\tcols = append(cols, \"email\")\n   139→\t\tvals = append(vals, user.Email)\n   140→\t}\n   141→\tif user.Password != \"\" {\n   142→\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n   143→\t\tif err != nil {\n   144→\t\t\tcclog.Error(\"Error while encrypting new user password\")\n   145→\t\t\treturn err\n   146→\t\t}\n   147→\t\tcols = append(cols, \"password\")\n   148→\t\tvals = append(vals, string(password))\n   149→\t}\n   150→\tif user.AuthSource != -1 {\n   151→\t\tcols = append(cols, \"ldap\")\n   152→\t\tvals = append(vals, int(user.AuthSource))\n   153→\t}\n   154→\n   155→\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n   156→\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n   157→\t\treturn err\n   158→\t}\n   159→\n   160→\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n   161→\n   162→\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n   163→\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n   164→\tif err != nil {\n   165→\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n   166→\t} else if defaultMetricsCfg != nil {\n   167→\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n   168→\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n   169→\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n   170→\t\t\tif err != nil {\n   171→\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n   172→\t\t\t\tcontinue\n   173→\t\t\t}\n   174→\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n   175→\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n   176→\t\t\tif _, err := sq.Insert(\"configuration\").\n   177→\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n   178→\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n   179→\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n   180→\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n   181→\t\t\t} else {\n   182→\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n   183→\t\t\t}\n   184→\t\t}\n   185→\t}\n   186→\t// END DEPRECATION\n   187→\n   188→\treturn nil\n   189→}\n   190→\n   191→func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n   192→\t// user contains updated info -> Apply to dbUser\n   193→\t// --- Simple Name Update ---\n   194→\tif dbUser.Name != user.Name {\n   195→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n   196→\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n   197→\t\t\treturn err\n   198→\t\t}\n   199→\t}\n   200→\n   201→\t// --- Def Helpers ---\n   202→\t// Helper to update roles\n   203→\tupdateRoles := func(roles []string) error {\n   204→\t\trolesJSON, _ := json.Marshal(roles)\n   205→\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n   206→\t\treturn err\n   207→\t}\n   208→\n   209→\t// Helper to update projects\n   210→\tupdateProjects := func(projects []string) error {\n   211→\t\tprojectsJSON, _ := json.Marshal(projects)\n   212→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n   213→\t\treturn err\n   214→\t}\n   215→\n   216→\t// Helper to clear projects\n   217→\tclearProjects := func() error {\n   218→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n   219→\t\treturn err\n   220→\t}\n   221→\n   222→\t// --- Manager Role Handling ---\n   223→\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n   224→\t\t// Existing Manager: update projects\n   225→\t\tif err := updateProjects(user.Projects); err != nil {\n   226→\t\t\treturn err\n   227→\t\t}\n   228→\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n   229→\t\t// New Manager: update roles and projects\n   230→\t\tif err := updateRoles(user.Roles); err != nil {\n   231→\t\t\treturn err\n   232→\t\t}\n   233→\t\tif err := updateProjects(user.Projects); err != nil {\n   234→\t\t\treturn err\n   235→\t\t}\n   236→\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n   237→\t\t// Remove Manager: update roles and clear projects\n   238→\t\tif err := updateRoles(user.Roles); err != nil {\n   239→\t\t\treturn err\n   240→\t\t}\n   241→\t\tif err := clearProjects(); err != nil {\n   242→\t\t\treturn err\n   243→\t\t}\n   244→\t}\n   245→\n   246→\t// --- Support Role Handling ---\n   247→\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n   248→\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n   249→\t\t// New Support: update roles\n   250→\t\tif err := updateRoles(user.Roles); err != nil {\n   251→\t\t\treturn err\n   252→\t\t}\n   253→\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n   254→\t\t// Remove Support: update roles\n   255→\t\tif err := updateRoles(user.Roles); err != nil {\n   256→\t\t\treturn err\n   257→\t\t}\n   258→\t}\n   259→\n   260→\treturn nil\n   261→}\n   262→\n   263→func (r *UserRepository) DelUser(username string) error {\n   264→\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n   265→\tif err != nil {\n   266→\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n   267→\t\treturn err\n   268→\t}\n   269→\tcclog.Infof(\"deleted user '%s' from DB\", username)\n   270→\treturn nil\n   271→}\n   272→\n   273→func (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n   274→\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n   275→\tif specialsOnly {\n   276→\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n   277→\t}\n   278→\n   279→\trows, err := q.RunWith(r.DB).Query()\n   280→\tif err != nil {\n   281→\t\tcclog.Warn(\"Error while querying user list\")\n   282→\t\treturn nil, err\n   283→\t}\n   284→\n   285→\tusers := make([]*schema.User, 0)\n   286→\tdefer rows.Close()\n   287→\tfor rows.Next() {\n   288→\t\trawroles := \"\"\n   289→\t\trawprojects := \"\"\n   290→\t\tuser := &schema.User{}\n   291→\t\tvar name, email sql.NullString\n   292→\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n   293→\t\t\tcclog.Warn(\"Error while scanning user list\")\n   294→\t\t\treturn nil, err\n   295→\t\t}\n   296→\n   297→\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n   298→\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n   299→\t\t\treturn nil, err\n   300→\t\t}\n   301→\n   302→\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n   303→\t\t\treturn nil, err\n   304→\t\t}\n   305→\n   306→\t\tuser.Name = name.String\n   307→\t\tuser.Email = email.String\n   308→\t\tusers = append(users, user)\n   309→\t}\n   310→\treturn users, nil\n   311→}\n   312→\n   313→// AddRole adds a role to a user's role list.\n   314→// Role string is automatically lowercased.\n   315→// Valid roles: admin, support, manager, api, user\n   316→//\n   317→// Returns error if:\n   318→//   - User doesn't exist\n   319→//   - Role is invalid\n   320→//   - User already has the role\n   321→func (r *UserRepository) AddRole(\n   322→\tctx context.Context,\n   323→\tusername string,\n   324→\tqueryrole string,\n   325→) error {\n   326→\tnewRole := strings.ToLower(queryrole)\n   327→\tuser, err := r.GetUser(username)\n   328→\tif err != nil {\n   329→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n   330→\t\treturn err\n   331→\t}\n   332→\n   333→\texists, valid := user.HasValidRole(newRole)\n   334→\n   335→\tif !valid {\n   336→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n   337→\t}\n   338→\tif exists {\n   339→\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n   340→\t}\n   341→\n   342→\troles, _ := json.Marshal(append(user.Roles, newRole))\n   343→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n   344→\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n   345→\t\treturn err\n   346→\t}\n   347→\treturn nil\n   348→}\n   349→\n   350→// RemoveRole removes a role from a user's role list.\n   351→//\n   352→// Special rules:\n   353→//   - Cannot remove \"manager\" role while user has assigned projects\n   354→//   - Must remove all projects first before removing manager role\n   355→func (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n   356→\toldRole := strings.ToLower(queryrole)\n   357→\tuser, err := r.GetUser(username)\n   358→\tif err != nil {\n   359→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n   360→\t\treturn err\n   361→\t}\n   362→\n   363→\texists, valid := user.HasValidRole(oldRole)\n   364→\n   365→\tif !valid {\n   366→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n   367→\t}\n   368→\tif !exists {\n   369→\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n   370→\t}\n   371→\n   372→\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n   373→\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n   374→\t}\n   375→\n   376→\tvar newroles []string\n   377→\tfor _, r := range user.Roles {\n   378→\t\tif r != oldRole {\n   379→\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n   380→\t\t}\n   381→\t}\n   382→\n   383→\tmroles, _ := json.Marshal(newroles)\n   384→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n   385→\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n   386→\t\treturn err\n   387→\t}\n   388→\treturn nil\n   389→}\n   390→\n   391→// AddProject assigns a project to a manager user.\n   392→// Only users with the \"manager\" role can have assigned projects.\n   393→//\n   394→// Returns error if:\n   395→//   - User doesn't have manager role\n   396→//   - User already manages the project\n   397→func (r *UserRepository) AddProject(\n   398→\tctx context.Context,\n   399→\tusername string,\n   400→\tproject string,\n   401→) error {\n   402→\tuser, err := r.GetUser(username)\n   403→\tif err != nil {\n   404→\t\treturn err\n   405→\t}\n   406→\n   407→\tif !user.HasRole(schema.RoleManager) {\n   408→\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n   409→\t}\n   410→\n   411→\tif user.HasProject(project) {\n   412→\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n   413→\t}\n   414→\n   415→\tprojects, _ := json.Marshal(append(user.Projects, project))\n   416→\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n   417→\t\treturn err\n   418→\t}\n   419→\n   420→\treturn nil\n   421→}\n   422→\n   423→func (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n   424→\tuser, err := r.GetUser(username)\n   425→\tif err != nil {\n   426→\t\treturn err\n   427→\t}\n   428→\n   429→\tif !user.HasRole(schema.RoleManager) {\n   430→\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n   431→\t}\n   432→\n   433→\tif !user.HasProject(project) {\n   434→\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n   435→\t}\n   436→\n   437→\tvar exists bool\n   438→\tvar newprojects []string\n   439→\tfor _, p := range user.Projects {\n   440→\t\tif p != project {\n   441→\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n   442→\t\t} else {\n   443→\t\t\texists = true\n   444→\t\t}\n   445→\t}\n   446→\n   447→\tif exists {\n   448→\t\tvar result any\n   449→\t\tif len(newprojects) == 0 {\n   450→\t\t\tresult = \"[]\"\n   451→\t\t} else {\n   452→\t\t\tresult, _ = json.Marshal(newprojects)\n   453→\t\t}\n   454→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n   455→\t\t\treturn err\n   456→\t\t}\n   457→\t\treturn nil\n   458→\t} else {\n   459→\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n   460→\t}\n   461→}\n   462→\n   463→type ContextKey string\n   464→\n   465→const ContextUserKey ContextKey = \"user\"\n   466→\n   467→func GetUserFromContext(ctx context.Context) *schema.User {\n   468→\tx := ctx.Value(ContextUserKey)\n   469→\tif x == nil {\n   470→\t\tcclog.Warnf(\"no user retrieved from context\")\n   471→\t\treturn nil\n   472→\t}\n   473→\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n   474→\treturn x.(*schema.User)\n   475→}\n   476→\n   477→func (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n   478→\tme := GetUserFromContext(ctx)\n   479→\tif me != nil && me.Username != username &&\n   480→\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n   481→\t\treturn nil, errors.New(\"forbidden\")\n   482→\t}\n   483→\n   484→\tuser := &model.User{Username: username}\n   485→\tvar name, email sql.NullString\n   486→\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n   487→\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n   488→\t\tif err == sql.ErrNoRows {\n   489→\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n   490→\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n   491→\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n   492→\t\t\treturn nil, nil\n   493→\t\t}\n   494→\n   495→\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n   496→\t\treturn nil, err\n   497→\t}\n   498→\n   499→\tuser.Name = name.String\n   500→\tuser.Email = email.String\n   501→\treturn user, nil\n   502→}\n   503→"}]},"uuid":"26e7307a-8d39-4350-a911-4c4d39002d8f","timestamp":"2026-03-16T10:12:42.250Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"reflect\"\n\t\"strings\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"golang.org/x/crypto/bcrypt\"\n)\n\n// Authentication and Role System:\n//\n// ClusterCockpit supports multiple authentication sources:\n//   - Local: Username/password stored in database (password hashed with bcrypt)\n//   - LDAP: External LDAP/Active Directory authentication\n//   - JWT: Token-based authentication for API access\n//\n// Role Hierarchy (from highest to lowest privilege):\n//   1. \"admin\" - Full system access, can manage all users and jobs\n//   2. \"support\" - Can view all jobs but limited management capabilities\n//   3. \"manager\" - Can manage specific projects and their users\n//   4. \"api\" - Programmatic access for job submission/management\n//   5. \"user\" - Default role, can only view own jobs\n//\n// Project Association:\n//   - Managers have a list of projects they oversee\n//   - Regular users' project membership is determined by job data\n//   - Managers can view/manage all jobs within their projects\n\nvar (\n\tuserRepoOnce     sync.Once\n\tuserRepoInstance *UserRepository\n)\n\ntype UserRepository struct {\n\tDB     *sqlx.DB\n\tdriver string\n}\n\nfunc GetUserRepository() *UserRepository {\n\tuserRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tuserRepoInstance = &UserRepository{\n\t\t\tDB:     db.DB,\n\t\t\tdriver: db.Driver,\n\t\t}\n\t})\n\treturn userRepoInstance\n}\n\n// GetUser retrieves a user by username from the database.\n// Returns the complete user record including hashed password, roles, and projects.\n// Password field contains bcrypt hash for local auth users, empty for LDAP users.\nfunc (r *UserRepository) GetUser(username string) (*schema.User, error) {\n\tuser := &schema.User{Username: username}\n\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Password = hashedPassword.String\n\tuser.Name = name.String\n\tuser.Email = email.String\n\tif rawRoles.Valid {\n\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\tif rawProjects.Valid {\n\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn user, nil\n}\n\nfunc (r *UserRepository) GetLdapUsernames() ([]string, error) {\n\tvar users []string\n\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying usernames\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar username string\n\t\tif err := rows.Scan(&username); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tusers = append(users, username)\n\t}\n\n\treturn users, nil\n}\n\n// AddUser creates a new user in the database.\n// Passwords are automatically hashed with bcrypt before storage.\n// Auth source determines authentication method (local, LDAP, etc.).\n//\n// Required fields: Username, Roles\n// Optional fields: Name, Email, Password, Projects, AuthSource\nfunc (r *UserRepository) AddUser(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := []string{\"username\", \"roles\", \"projects\"}\n\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n\n\tif user.Name != \"\" {\n\t\tcols = append(cols, \"name\")\n\t\tvals = append(vals, user.Name)\n\t}\n\tif user.Email != \"\" {\n\t\tcols = append(cols, \"email\")\n\t\tvals = append(vals, user.Email)\n\t}\n\tif user.Password != \"\" {\n\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"Error while encrypting new user password\")\n\t\t\treturn err\n\t\t}\n\t\tcols = append(cols, \"password\")\n\t\tvals = append(vals, string(password))\n\t}\n\tif user.AuthSource != -1 {\n\t\tcols = append(cols, \"ldap\")\n\t\tvals = append(vals, int(user.AuthSource))\n\t}\n\n\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n\t\treturn err\n\t}\n\n\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n\n\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n\t} else if defaultMetricsCfg != nil {\n\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n\t\t\tif _, err := sq.Insert(\"configuration\").\n\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n\t\t\t} else {\n\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n\t\t\t}\n\t\t}\n\t}\n\t// END DEPRECATION\n\n\treturn nil\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n\t// user contains updated info -> Apply to dbUser\n\t// --- Simple Name Update ---\n\tif dbUser.Name != user.Name {\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Def Helpers ---\n\t// Helper to update roles\n\tupdateRoles := func(roles []string) error {\n\t\trolesJSON, _ := json.Marshal(roles)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to update projects\n\tupdateProjects := func(projects []string) error {\n\t\tprojectsJSON, _ := json.Marshal(projects)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to clear projects\n\tclearProjects := func() error {\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// --- Manager Role Handling ---\n\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n\t\t// Existing Manager: update projects\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Manager: update roles and projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n\t\t// Remove Manager: update roles and clear projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := clearProjects(); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Support Role Handling ---\n\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t// Remove Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) DelUser(username string) error {\n\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted user '%s' from DB\", username)\n\treturn nil\n}\n\nfunc (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n\tif specialsOnly {\n\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n\t}\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying user list\")\n\t\treturn nil, err\n\t}\n\n\tusers := make([]*schema.User, 0)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\trawroles := \"\"\n\t\trawprojects := \"\"\n\t\tuser := &schema.User{}\n\t\tvar name, email sql.NullString\n\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning user list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tuser.Name = name.String\n\t\tuser.Email = email.String\n\t\tusers = append(users, user)\n\t}\n\treturn users, nil\n}\n\n// AddRole adds a role to a user's role list.\n// Role string is automatically lowercased.\n// Valid roles: admin, support, manager, api, user\n//\n// Returns error if:\n//   - User doesn't exist\n//   - Role is invalid\n//   - User already has the role\nfunc (r *UserRepository) AddRole(\n\tctx context.Context,\n\tusername string,\n\tqueryrole string,\n) error {\n\tnewRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(newRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n\t}\n\tif exists {\n\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n\t}\n\n\troles, _ := json.Marshal(append(user.Roles, newRole))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// RemoveRole removes a role from a user's role list.\n//\n// Special rules:\n//   - Cannot remove \"manager\" role while user has assigned projects\n//   - Must remove all projects first before removing manager role\nfunc (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n\toldRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(oldRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n\t}\n\tif !exists {\n\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n\t}\n\n\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n\t}\n\n\tvar newroles []string\n\tfor _, r := range user.Roles {\n\t\tif r != oldRole {\n\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n\t\t}\n\t}\n\n\tmroles, _ := json.Marshal(newroles)\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// AddProject assigns a project to a manager user.\n// Only users with the \"manager\" role can have assigned projects.\n//\n// Returns error if:\n//   - User doesn't have manager role\n//   - User already manages the project\nfunc (r *UserRepository) AddProject(\n\tctx context.Context,\n\tusername string,\n\tproject string,\n) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n\t}\n\n\tif user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n\t}\n\n\tprojects, _ := json.Marshal(append(user.Projects, project))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n\t}\n\n\tif !user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n\t}\n\n\tvar exists bool\n\tvar newprojects []string\n\tfor _, p := range user.Projects {\n\t\tif p != project {\n\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n\t\t} else {\n\t\t\texists = true\n\t\t}\n\t}\n\n\tif exists {\n\t\tvar result any\n\t\tif len(newprojects) == 0 {\n\t\t\tresult = \"[]\"\n\t\t} else {\n\t\t\tresult, _ = json.Marshal(newprojects)\n\t\t}\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\t\treturn err\n\t\t}\n\t\treturn nil\n\t} else {\n\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n\t}\n}\n\ntype ContextKey string\n\nconst ContextUserKey ContextKey = \"user\"\n\nfunc GetUserFromContext(ctx context.Context) *schema.User {\n\tx := ctx.Value(ContextUserKey)\n\tif x == nil {\n\t\tcclog.Warnf(\"no user retrieved from context\")\n\t\treturn nil\n\t}\n\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n\treturn x.(*schema.User)\n}\n\nfunc (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n\tme := GetUserFromContext(ctx)\n\tif me != nil && me.Username != username &&\n\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"forbidden\")\n\t}\n\n\tuser := &model.User{Username: username}\n\tvar name, email sql.NullString\n\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n\t\t\treturn nil, nil\n\t\t}\n\n\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Name = name.String\n\tuser.Email = email.String\n\treturn user, nil\n}\n","numLines":503,"startLine":1,"totalLines":503}},"sourceToolAssistantUUID":"ab33adee-9926-4c38-af68-7a0b5d885ff8","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"794d5b22-e6b4-461a-8b60-f67f3e47e371","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01ScKNjBXsx7mQEXVVigVhmt","toolUseID":"toolu_01ScKNjBXsx7mQEXVVigVhmt","timestamp":"2026-03-16T10:12:42.716Z","uuid":"5244ba36-70c4-4a68-9b01-d3cd9e9c9030","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"794d5b22-e6b4-461a-8b60-f67f3e47e371","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ScKNjBXsx7mQEXVVigVhmt","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package auth\n     7→\n     8→import (\n     9→\t\"fmt\"\n    10→\t\"net\"\n    11→\t\"net/http\"\n    12→\t\"os\"\n    13→\t\"strings\"\n    14→\t\"time\"\n    15→\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    17→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    18→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    19→\t\"github.com/go-ldap/ldap/v3\"\n    20→)\n    21→\n    22→type LdapConfig struct {\n    23→\tURL             string `json:\"url\"`\n    24→\tUserBase        string `json:\"user-base\"`\n    25→\tSearchDN        string `json:\"search-dn\"`\n    26→\tUserBind        string `json:\"user-bind\"`\n    27→\tUserFilter      string `json:\"user-filter\"`\n    28→\tUserAttr        string `json:\"username-attr\"`\n    29→\tUIDAttr         string `json:\"uid-attr\"`\n    30→\tSyncInterval    string `json:\"sync-interval\"` // Parsed using time.ParseDuration.\n    31→\tSyncDelOldUsers bool   `json:\"sync-del-old-users\"`\n    32→\n    33→\t// Should a non-existent user be added to the DB if user exists in ldap directory\n    34→\tSyncUserOnLogin   bool `json:\"sync-user-on-login\"`\n    35→\tUpdateUserOnLogin bool `json:\"update-user-on-login\"`\n    36→}\n    37→\n    38→type LdapAuthenticator struct {\n    39→\tsyncPassword string\n    40→\tUserAttr     string\n    41→\tUIDAttr      string\n    42→}\n    43→\n    44→var _ Authenticator = (*LdapAuthenticator)(nil)\n    45→\n    46→func (la *LdapAuthenticator) Init() error {\n    47→\tla.syncPassword = os.Getenv(\"LDAP_ADMIN_PASSWORD\")\n    48→\tif la.syncPassword == \"\" {\n    49→\t\tcclog.Warn(\"environment variable 'LDAP_ADMIN_PASSWORD' not set (ldap sync will not work)\")\n    50→\t}\n    51→\n    52→\tif Keys.LdapConfig.UserAttr != \"\" {\n    53→\t\tla.UserAttr = Keys.LdapConfig.UserAttr\n    54→\t} else {\n    55→\t\tla.UserAttr = \"gecos\"\n    56→\t}\n    57→\n    58→\tif Keys.LdapConfig.UIDAttr != \"\" {\n    59→\t\tla.UIDAttr = Keys.LdapConfig.UIDAttr\n    60→\t} else {\n    61→\t\tla.UIDAttr = \"uid\"\n    62→\t}\n    63→\n    64→\treturn nil\n    65→}\n    66→\n    67→func (la *LdapAuthenticator) CanLogin(\n    68→\tuser *schema.User,\n    69→\tusername string,\n    70→\trw http.ResponseWriter,\n    71→\tr *http.Request,\n    72→) (*schema.User, bool) {\n    73→\tlc := Keys.LdapConfig\n    74→\n    75→\tif user != nil {\n    76→\t\tif user.AuthSource == schema.AuthViaLDAP {\n    77→\t\t\treturn user, true\n    78→\t\t}\n    79→\t} else if lc.SyncUserOnLogin {\n    80→\t\tl, err := la.getLdapConnection(true)\n    81→\t\tif err != nil {\n    82→\t\t\tcclog.Error(\"LDAP connection error\")\n    83→\t\t\treturn nil, false\n    84→\t\t}\n    85→\t\tdefer l.Close()\n    86→\n    87→\t\t// Search for the given username\n    88→\t\tsearchRequest := ldap.NewSearchRequest(\n    89→\t\t\tlc.UserBase,\n    90→\t\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n    91→\t\t\tfmt.Sprintf(\"(&%s(%s=%s))\", lc.UserFilter, la.UIDAttr, ldap.EscapeFilter(username)),\n    92→\t\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil)\n    93→\n    94→\t\tsr, err := l.Search(searchRequest)\n    95→\t\tif err != nil {\n    96→\t\t\tcclog.Warn(err)\n    97→\t\t\treturn nil, false\n    98→\t\t}\n    99→\n   100→\t\tif len(sr.Entries) != 1 {\n   101→\t\t\tcclog.Warn(\"LDAP: User does not exist or too many entries returned\")\n   102→\t\t\treturn nil, false\n   103→\t\t}\n   104→\n   105→\t\tentry := sr.Entries[0]\n   106→\t\tuser = &schema.User{\n   107→\t\t\tUsername:   username,\n   108→\t\t\tName:       entry.GetAttributeValue(la.UserAttr),\n   109→\t\t\tRoles:      []string{schema.GetRoleString(schema.RoleUser)},\n   110→\t\t\tProjects:   make([]string, 0),\n   111→\t\t\tAuthType:   schema.AuthSession,\n   112→\t\t\tAuthSource: schema.AuthViaLDAP,\n   113→\t\t}\n   114→\n   115→\t\thandleLdapUser(user)\n   116→\t\treturn user, true\n   117→\t}\n   118→\n   119→\treturn nil, false\n   120→}\n   121→\n   122→func (la *LdapAuthenticator) Login(\n   123→\tuser *schema.User,\n   124→\trw http.ResponseWriter,\n   125→\tr *http.Request,\n   126→) (*schema.User, error) {\n   127→\tl, err := la.getLdapConnection(false)\n   128→\tif err != nil {\n   129→\t\tcclog.Warn(\"Error while getting ldap connection\")\n   130→\t\treturn nil, err\n   131→\t}\n   132→\tdefer l.Close()\n   133→\n   134→\tuserDn := strings.ReplaceAll(Keys.LdapConfig.UserBind, \"{username}\", ldap.EscapeDN(user.Username))\n   135→\tif err := l.Bind(userDn, r.FormValue(\"password\")); err != nil {\n   136→\t\tcclog.Errorf(\"AUTH/LDAP > Authentication for user %s failed: %v\",\n   137→\t\t\tuser.Username, err)\n   138→\t\treturn nil, fmt.Errorf(\"Authentication failed\")\n   139→\t}\n   140→\n   141→\treturn user, nil\n   142→}\n   143→\n   144→func (la *LdapAuthenticator) Sync() error {\n   145→\tconst InDB int = 1\n   146→\tconst InLdap int = 2\n   147→\tconst InBoth int = 3\n   148→\tur := repository.GetUserRepository()\n   149→\tlc := Keys.LdapConfig\n   150→\n   151→\tusers := map[string]int{}\n   152→\tusernames, err := ur.GetLdapUsernames()\n   153→\tif err != nil {\n   154→\t\treturn err\n   155→\t}\n   156→\n   157→\tfor _, username := range usernames {\n   158→\t\tusers[username] = InDB\n   159→\t}\n   160→\n   161→\tl, err := la.getLdapConnection(true)\n   162→\tif err != nil {\n   163→\t\tcclog.Error(\"LDAP connection error\")\n   164→\t\treturn err\n   165→\t}\n   166→\tdefer l.Close()\n   167→\n   168→\tldapResults, err := l.Search(ldap.NewSearchRequest(\n   169→\t\tlc.UserBase,\n   170→\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n   171→\t\tlc.UserFilter,\n   172→\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil))\n   173→\tif err != nil {\n   174→\t\tcclog.Warn(\"LDAP search error\")\n   175→\t\treturn err\n   176→\t}\n   177→\n   178→\tnewnames := map[string]string{}\n   179→\tfor _, entry := range ldapResults.Entries {\n   180→\t\tusername := entry.GetAttributeValue(la.UIDAttr)\n   181→\t\tif username == \"\" {\n   182→\t\t\treturn fmt.Errorf(\"no attribute '%s'\", la.UIDAttr)\n   183→\t\t}\n   184→\n   185→\t\t_, ok := users[username]\n   186→\t\tif !ok {\n   187→\t\t\tusers[username] = InLdap\n   188→\t\t\tnewnames[username] = entry.GetAttributeValue(la.UserAttr)\n   189→\t\t} else {\n   190→\t\t\tusers[username] = InBoth\n   191→\t\t}\n   192→\t}\n   193→\n   194→\tfor username, where := range users {\n   195→\t\tif where == InDB && lc.SyncDelOldUsers {\n   196→\t\t\tif err := ur.DelUser(username); err != nil {\n   197→\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Delete from DB failed: %v\", username, err)\n   198→\t\t\t\treturn err\n   199→\t\t\t}\n   200→\t\t\tcclog.Debugf(\"sync: remove %v (does not show up in LDAP anymore)\", username)\n   201→\t\t} else if where == InLdap {\n   202→\t\t\tname := newnames[username]\n   203→\n   204→\t\t\tuser := &schema.User{\n   205→\t\t\t\tUsername:   username,\n   206→\t\t\t\tName:       name,\n   207→\t\t\t\tRoles:      []string{schema.GetRoleString(schema.RoleUser)},\n   208→\t\t\t\tProjects:   make([]string, 0),\n   209→\t\t\t\tAuthSource: schema.AuthViaLDAP,\n   210→\t\t\t}\n   211→\n   212→\t\t\tcclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)\n   213→\t\t\tif err := ur.AddUser(user); err != nil {\n   214→\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)\n   215→\t\t\t\treturn err\n   216→\t\t\t}\n   217→\t\t}\n   218→\t}\n   219→\n   220→\treturn nil\n   221→}\n   222→\n   223→func (la *LdapAuthenticator) getLdapConnection(admin bool) (*ldap.Conn, error) {\n   224→\tlc := Keys.LdapConfig\n   225→\tconn, err := ldap.DialURL(lc.URL,\n   226→\t\tldap.DialWithDialer(&net.Dialer{Timeout: 10 * time.Second}))\n   227→\tif err != nil {\n   228→\t\tcclog.Warn(\"LDAP URL dial failed\")\n   229→\t\treturn nil, err\n   230→\t}\n   231→\tconn.SetTimeout(30 * time.Second)\n   232→\n   233→\tif admin {\n   234→\t\tif err := conn.Bind(lc.SearchDN, la.syncPassword); err != nil {\n   235→\t\t\tconn.Close()\n   236→\t\t\tcclog.Warn(\"LDAP connection bind failed\")\n   237→\t\t\treturn nil, err\n   238→\t\t}\n   239→\t}\n   240→\n   241→\treturn conn, nil\n   242→}\n   243→"}]},"uuid":"88e19298-997f-4e34-93a8-9b98c3bbbe57","timestamp":"2026-03-16T10:12:42.716Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/auth/ldap.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage auth\n\nimport (\n\t\"fmt\"\n\t\"net\"\n\t\"net/http\"\n\t\"os\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/go-ldap/ldap/v3\"\n)\n\ntype LdapConfig struct {\n\tURL             string `json:\"url\"`\n\tUserBase        string `json:\"user-base\"`\n\tSearchDN        string `json:\"search-dn\"`\n\tUserBind        string `json:\"user-bind\"`\n\tUserFilter      string `json:\"user-filter\"`\n\tUserAttr        string `json:\"username-attr\"`\n\tUIDAttr         string `json:\"uid-attr\"`\n\tSyncInterval    string `json:\"sync-interval\"` // Parsed using time.ParseDuration.\n\tSyncDelOldUsers bool   `json:\"sync-del-old-users\"`\n\n\t// Should a non-existent user be added to the DB if user exists in ldap directory\n\tSyncUserOnLogin   bool `json:\"sync-user-on-login\"`\n\tUpdateUserOnLogin bool `json:\"update-user-on-login\"`\n}\n\ntype LdapAuthenticator struct {\n\tsyncPassword string\n\tUserAttr     string\n\tUIDAttr      string\n}\n\nvar _ Authenticator = (*LdapAuthenticator)(nil)\n\nfunc (la *LdapAuthenticator) Init() error {\n\tla.syncPassword = os.Getenv(\"LDAP_ADMIN_PASSWORD\")\n\tif la.syncPassword == \"\" {\n\t\tcclog.Warn(\"environment variable 'LDAP_ADMIN_PASSWORD' not set (ldap sync will not work)\")\n\t}\n\n\tif Keys.LdapConfig.UserAttr != \"\" {\n\t\tla.UserAttr = Keys.LdapConfig.UserAttr\n\t} else {\n\t\tla.UserAttr = \"gecos\"\n\t}\n\n\tif Keys.LdapConfig.UIDAttr != \"\" {\n\t\tla.UIDAttr = Keys.LdapConfig.UIDAttr\n\t} else {\n\t\tla.UIDAttr = \"uid\"\n\t}\n\n\treturn nil\n}\n\nfunc (la *LdapAuthenticator) CanLogin(\n\tuser *schema.User,\n\tusername string,\n\trw http.ResponseWriter,\n\tr *http.Request,\n) (*schema.User, bool) {\n\tlc := Keys.LdapConfig\n\n\tif user != nil {\n\t\tif user.AuthSource == schema.AuthViaLDAP {\n\t\t\treturn user, true\n\t\t}\n\t} else if lc.SyncUserOnLogin {\n\t\tl, err := la.getLdapConnection(true)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"LDAP connection error\")\n\t\t\treturn nil, false\n\t\t}\n\t\tdefer l.Close()\n\n\t\t// Search for the given username\n\t\tsearchRequest := ldap.NewSearchRequest(\n\t\t\tlc.UserBase,\n\t\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n\t\t\tfmt.Sprintf(\"(&%s(%s=%s))\", lc.UserFilter, la.UIDAttr, ldap.EscapeFilter(username)),\n\t\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil)\n\n\t\tsr, err := l.Search(searchRequest)\n\t\tif err != nil {\n\t\t\tcclog.Warn(err)\n\t\t\treturn nil, false\n\t\t}\n\n\t\tif len(sr.Entries) != 1 {\n\t\t\tcclog.Warn(\"LDAP: User does not exist or too many entries returned\")\n\t\t\treturn nil, false\n\t\t}\n\n\t\tentry := sr.Entries[0]\n\t\tuser = &schema.User{\n\t\t\tUsername:   username,\n\t\t\tName:       entry.GetAttributeValue(la.UserAttr),\n\t\t\tRoles:      []string{schema.GetRoleString(schema.RoleUser)},\n\t\t\tProjects:   make([]string, 0),\n\t\t\tAuthType:   schema.AuthSession,\n\t\t\tAuthSource: schema.AuthViaLDAP,\n\t\t}\n\n\t\thandleLdapUser(user)\n\t\treturn user, true\n\t}\n\n\treturn nil, false\n}\n\nfunc (la *LdapAuthenticator) Login(\n\tuser *schema.User,\n\trw http.ResponseWriter,\n\tr *http.Request,\n) (*schema.User, error) {\n\tl, err := la.getLdapConnection(false)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting ldap connection\")\n\t\treturn nil, err\n\t}\n\tdefer l.Close()\n\n\tuserDn := strings.ReplaceAll(Keys.LdapConfig.UserBind, \"{username}\", ldap.EscapeDN(user.Username))\n\tif err := l.Bind(userDn, r.FormValue(\"password\")); err != nil {\n\t\tcclog.Errorf(\"AUTH/LDAP > Authentication for user %s failed: %v\",\n\t\t\tuser.Username, err)\n\t\treturn nil, fmt.Errorf(\"Authentication failed\")\n\t}\n\n\treturn user, nil\n}\n\nfunc (la *LdapAuthenticator) Sync() error {\n\tconst InDB int = 1\n\tconst InLdap int = 2\n\tconst InBoth int = 3\n\tur := repository.GetUserRepository()\n\tlc := Keys.LdapConfig\n\n\tusers := map[string]int{}\n\tusernames, err := ur.GetLdapUsernames()\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tfor _, username := range usernames {\n\t\tusers[username] = InDB\n\t}\n\n\tl, err := la.getLdapConnection(true)\n\tif err != nil {\n\t\tcclog.Error(\"LDAP connection error\")\n\t\treturn err\n\t}\n\tdefer l.Close()\n\n\tldapResults, err := l.Search(ldap.NewSearchRequest(\n\t\tlc.UserBase,\n\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n\t\tlc.UserFilter,\n\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil))\n\tif err != nil {\n\t\tcclog.Warn(\"LDAP search error\")\n\t\treturn err\n\t}\n\n\tnewnames := map[string]string{}\n\tfor _, entry := range ldapResults.Entries {\n\t\tusername := entry.GetAttributeValue(la.UIDAttr)\n\t\tif username == \"\" {\n\t\t\treturn fmt.Errorf(\"no attribute '%s'\", la.UIDAttr)\n\t\t}\n\n\t\t_, ok := users[username]\n\t\tif !ok {\n\t\t\tusers[username] = InLdap\n\t\t\tnewnames[username] = entry.GetAttributeValue(la.UserAttr)\n\t\t} else {\n\t\t\tusers[username] = InBoth\n\t\t}\n\t}\n\n\tfor username, where := range users {\n\t\tif where == InDB && lc.SyncDelOldUsers {\n\t\t\tif err := ur.DelUser(username); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Delete from DB failed: %v\", username, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tcclog.Debugf(\"sync: remove %v (does not show up in LDAP anymore)\", username)\n\t\t} else if where == InLdap {\n\t\t\tname := newnames[username]\n\n\t\t\tuser := &schema.User{\n\t\t\t\tUsername:   username,\n\t\t\t\tName:       name,\n\t\t\t\tRoles:      []string{schema.GetRoleString(schema.RoleUser)},\n\t\t\t\tProjects:   make([]string, 0),\n\t\t\t\tAuthSource: schema.AuthViaLDAP,\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)\n\t\t\tif err := ur.AddUser(user); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (la *LdapAuthenticator) getLdapConnection(admin bool) (*ldap.Conn, error) {\n\tlc := Keys.LdapConfig\n\tconn, err := ldap.DialURL(lc.URL,\n\t\tldap.DialWithDialer(&net.Dialer{Timeout: 10 * time.Second}))\n\tif err != nil {\n\t\tcclog.Warn(\"LDAP URL dial failed\")\n\t\treturn nil, err\n\t}\n\tconn.SetTimeout(30 * time.Second)\n\n\tif admin {\n\t\tif err := conn.Bind(lc.SearchDN, la.syncPassword); err != nil {\n\t\t\tconn.Close()\n\t\t\tcclog.Warn(\"LDAP connection bind failed\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn conn, nil\n}\n","numLines":243,"startLine":1,"totalLines":243}},"sourceToolAssistantUUID":"794d5b22-e6b4-461a-8b60-f67f3e47e371","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"e001baa9-61e4-45ac-b202-53caad8b525f","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GpAw7qx8NsDwkEM2UaDjvA","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"encoding/json\"\n    10→\t\"fmt\"\n    11→\n    12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    14→\tsq \"github.com/Masterminds/squirrel\"\n    15→)\n    16→\n    17→const NamedJobCacheInsert string = `INSERT INTO job_cache (\n    18→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n    19→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n    20→) VALUES (\n    21→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n    22→  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n    23→);`\n    24→\n    25→const NamedJobInsert string = `INSERT INTO job (\n    26→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n    27→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n    28→) VALUES (\n    29→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n    30→  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n    31→);`\n    32→\n    33→// InsertJobDirect inserts a job directly into the job table (not job_cache).\n    34→// Use this when the returned ID will be used for operations on the job table\n    35→// (e.g., adding tags), or for imported jobs that are already completed.\n    36→func (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n    37→\tr.Mutex.Lock()\n    38→\tdefer r.Mutex.Unlock()\n    39→\n    40→\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n    41→\tif err != nil {\n    42→\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n    43→\t\treturn 0, err\n    44→\t}\n    45→\tid, err := res.LastInsertId()\n    46→\tif err != nil {\n    47→\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n    48→\t\treturn 0, err\n    49→\t}\n    50→\n    51→\treturn id, nil\n    52→}\n    53→\n    54→func (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n    55→\tr.Mutex.Lock()\n    56→\tdefer r.Mutex.Unlock()\n    57→\n    58→\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n    59→\tif err != nil {\n    60→\t\tcclog.Warn(\"Error while NamedJobInsert\")\n    61→\t\treturn 0, err\n    62→\t}\n    63→\tid, err := res.LastInsertId()\n    64→\tif err != nil {\n    65→\t\tcclog.Warn(\"Error while getting last insert ID\")\n    66→\t\treturn 0, err\n    67→\t}\n    68→\n    69→\treturn id, nil\n    70→}\n    71→\n    72→func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n    73→\tr.Mutex.Lock()\n    74→\tdefer r.Mutex.Unlock()\n    75→\n    76→\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n    77→\n    78→\trows, err := query.RunWith(r.stmtCache).Query()\n    79→\tif err != nil {\n    80→\t\tcclog.Errorf(\"Error while running query %v\", err)\n    81→\t\treturn nil, err\n    82→\t}\n    83→\tdefer rows.Close()\n    84→\n    85→\tjobs := make([]*schema.Job, 0, 50)\n    86→\tfor rows.Next() {\n    87→\t\tjob, err := scanJob(rows)\n    88→\t\tif err != nil {\n    89→\t\t\tcclog.Warn(\"Error while scanning rows\")\n    90→\t\t\treturn nil, err\n    91→\t\t}\n    92→\t\tjobs = append(jobs, job)\n    93→\t}\n    94→\n    95→\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n    96→\t_, err = r.DB.Exec(\n    97→\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n    98→\tif err != nil {\n    99→\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n   100→\t\treturn nil, err\n   101→\t}\n   102→\n   103→\t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n   104→\tif err != nil {\n   105→\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n   106→\t\treturn nil, err\n   107→\t}\n   108→\n   109→\t// Resolve correct job.id from the job table. The IDs read from job_cache\n   110→\t// are from a different auto-increment sequence and must not be used to\n   111→\t// query the job table.\n   112→\tfor _, job := range jobs {\n   113→\t\tvar newID int64\n   114→\t\tif err := sq.Select(\"job.id\").From(\"job\").\n   115→\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n   116→\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n   117→\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n   118→\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n   119→\t\t\t\tjob.JobID, job.Cluster, err)\n   120→\t\t\tcontinue\n   121→\t\t}\n   122→\t\tjob.ID = &newID\n   123→\t}\n   124→\n   125→\treturn jobs, nil\n   126→}\n   127→\n   128→// TransferCachedJobToMain moves a job from job_cache to the job table.\n   129→// Caller must hold r.Mutex. Returns the new job table ID.\n   130→func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n   131→\tres, err := r.DB.Exec(\n   132→\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n   133→\t\tcacheID)\n   134→\tif err != nil {\n   135→\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n   136→\t}\n   137→\n   138→\tnewID, err := res.LastInsertId()\n   139→\tif err != nil {\n   140→\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n   141→\t}\n   142→\n   143→\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n   144→\tif err != nil {\n   145→\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n   146→\t}\n   147→\n   148→\treturn newID, nil\n   149→}\n   150→\n   151→// Start inserts a new job in the table, returning the unique job ID.\n   152→// Statistics are not transfered!\n   153→func (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n   154→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   155→\tif err != nil {\n   156→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n   157→\t}\n   158→\n   159→\tjob.RawResources, err = json.Marshal(job.Resources)\n   160→\tif err != nil {\n   161→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n   162→\t}\n   163→\n   164→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n   165→\tif err != nil {\n   166→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n   167→\t}\n   168→\n   169→\treturn r.InsertJob(job)\n   170→}\n   171→\n   172→// StartDirect inserts a new job directly into the job table (not job_cache).\n   173→// Use this when the returned ID will immediately be used for job table\n   174→// operations such as adding tags.\n   175→func (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n   176→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   177→\tif err != nil {\n   178→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n   179→\t}\n   180→\n   181→\tjob.RawResources, err = json.Marshal(job.Resources)\n   182→\tif err != nil {\n   183→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n   184→\t}\n   185→\n   186→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n   187→\tif err != nil {\n   188→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n   189→\t}\n   190→\n   191→\treturn r.InsertJobDirect(job)\n   192→}\n   193→\n   194→// Stop updates the job with the database id jobId using the provided arguments.\n   195→func (r *JobRepository) Stop(\n   196→\tjobID int64,\n   197→\tduration int32,\n   198→\tstate schema.JobState,\n   199→\tmonitoringStatus int32,\n   200→) (err error) {\n   201→\t// Invalidate cache entries as job state is changing\n   202→\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n   203→\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n   204→\n   205→\tstmt := sq.Update(\"job\").\n   206→\t\tSet(\"job_state\", state).\n   207→\t\tSet(\"duration\", duration).\n   208→\t\tSet(\"monitoring_status\", monitoringStatus).\n   209→\t\tWhere(\"job.id = ?\", jobID)\n   210→\n   211→\t_, err = stmt.RunWith(r.stmtCache).Exec()\n   212→\treturn err\n   213→}\n   214→"}]},"uuid":"b1410bed-082c-4942-bdc0-f810e807e257","timestamp":"2026-03-16T10:12:42.900Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"encoding/json\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst NamedJobCacheInsert string = `INSERT INTO job_cache (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n);`\n\nconst NamedJobInsert string = `INSERT INTO job (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n);`\n\n// InsertJobDirect inserts a job directly into the job table (not job_cache).\n// Use this when the returned ID will be used for operations on the job table\n// (e.g., adding tags), or for imported jobs that are already completed.\nfunc (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = r.DB.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}\n\n// TransferCachedJobToMain moves a job from job_cache to the job table.\n// Caller must hold r.Mutex. Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\treturn newID, nil\n}\n\n// Start inserts a new job in the table, returning the unique job ID.\n// Statistics are not transfered!\nfunc (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJob(job)\n}\n\n// StartDirect inserts a new job directly into the job table (not job_cache).\n// Use this when the returned ID will immediately be used for job table\n// operations such as adding tags.\nfunc (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJobDirect(job)\n}\n\n// Stop updates the job with the database id jobId using the provided arguments.\nfunc (r *JobRepository) Stop(\n\tjobID int64,\n\tduration int32,\n\tstate schema.JobState,\n\tmonitoringStatus int32,\n) (err error) {\n\t// Invalidate cache entries as job state is changing\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n\n\tstmt := sq.Update(\"job\").\n\t\tSet(\"job_state\", state).\n\t\tSet(\"duration\", duration).\n\t\tSet(\"monitoring_status\", monitoringStatus).\n\t\tWhere(\"job.id = ?\", jobID)\n\n\t_, err = stmt.RunWith(r.stmtCache).Exec()\n\treturn err\n}\n","numLines":214,"startLine":1,"totalLines":214}},"sourceToolAssistantUUID":"e001baa9-61e4-45ac-b202-53caad8b525f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport \"time\"\n\n// RepositoryConfig holds configuration for repository operations.\n// All fields have sensible defaults, so this configuration is optional.\ntype RepositoryConfig struct {\n\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n\t// Default: 1MB (1024 * 1024 bytes)\n\tCacheSize int\n\n\t// MaxOpenConnections is the maximum number of open database connections.\n\t// Default: 4\n\tMaxOpenConnections int\n\n\t// MaxIdleConnections is the maximum number of idle database connections.\n\t// Default: 4\n\tMaxIdleConnections int\n\n\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n\t// Default: 1 hour\n\tConnectionMaxLifetime time.Duration\n\n\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n\t// Default: 10 minutes\n\tConnectionMaxIdleTime time.Duration\n\n\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n\t// considered in \"running jobs\" queries. This filters out very short jobs.\n\t// Default: 600 seconds (10 minutes)\n\tMinRunningJobDuration int\n\n\t// DbCacheSizeMB is the SQLite page cache size per connection in MB.\n\t// Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n\t// and DbCacheSizeMB=2048, total page cache is up to 8GB.\n\t// Default: 2048 (2GB)\n\tDbCacheSizeMB int\n\n\t// DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n\t// SQLite will try to release cache pages to stay under this limit.\n\t// It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n\t// Default: 16384 (16GB)\n\tDbSoftHeapLimitMB int\n}\n\n// DefaultConfig returns the default repository configuration.\n// These values are optimized for typical deployments.\nfunc DefaultConfig() *RepositoryConfig {\n\treturn &RepositoryConfig{\n\t\tCacheSize:             1 * 1024 * 1024, // 1MB\n\t\tMaxOpenConnections:    4,\n\t\tMaxIdleConnections:    4,\n\t\tConnectionMaxLifetime: time.Hour,\n\t\tConnectionMaxIdleTime: 10 * time.Minute,\n\t\tMinRunningJobDuration: 600, // 10 minutes\n\t\tDbCacheSizeMB:        2048,  // 2GB per connection\n\t\tDbSoftHeapLimitMB:    16384, // 16GB process-wide\n\t}\n}\n\n// repoConfig is the package-level configuration instance.\n// It is initialized with defaults and can be overridden via SetConfig.\nvar repoConfig *RepositoryConfig = DefaultConfig()\n\n// SetConfig sets the repository configuration.\n// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n// If not called, default values from DefaultConfig() are used.\nfunc SetConfig(cfg *RepositoryConfig) {\n\tif cfg != nil {\n\t\trepoConfig = cfg\n\t}\n}\n\n// GetConfig returns the current repository configuration.\nfunc GetConfig() *RepositoryConfig {\n\treturn repoConfig\n}\n","structuredPatch":[{"oldStart":46,"oldLines":6,"newStart":46,"newLines":12,"lines":["   // It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.","   // Default: 16384 (16GB)","   DbSoftHeapLimitMB int","+","+  // BusyTimeoutMs is the SQLite busy_timeout in milliseconds.","+  // When a write is blocked by another writer, SQLite retries internally","+  // using a backoff mechanism for up to this duration before returning SQLITE_BUSY.","+  // Default: 60000 (60 seconds)","+  BusyTimeoutMs int"," }"," "," // DefaultConfig returns the default repository configuration."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"7f4b63eb-7e62-4753-b51f-b435bf637b0c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"fmt\"\n\t\"net/url\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"github.com/mattn/go-sqlite3\"\n\t\"github.com/qustavo/sqlhooks/v2\"\n)\n\nvar (\n\tdbConnOnce     sync.Once\n\tdbConnInstance *DBConnection\n)\n\ntype DBConnection struct {\n\tDB     *sqlx.DB\n\tDriver string\n}\n\ntype DatabaseOptions struct {\n\tURL                   string\n\tMaxOpenConnections    int\n\tMaxIdleConnections    int\n\tConnectionMaxLifetime time.Duration\n\tConnectionMaxIdleTime time.Duration\n}\n\nfunc setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t\tfmt.Sprintf(\"soft_heap_limit = %d\", int64(cfg.DbSoftHeapLimitMB)*1024*1024),\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc Connect(db string) {\n\tvar err error\n\tvar dbHandle *sqlx.DB\n\n\tdbConnOnce.Do(func() {\n\t\topts := DatabaseOptions{\n\t\t\tURL:                   db,\n\t\t\tMaxOpenConnections:    repoConfig.MaxOpenConnections,\n\t\t\tMaxIdleConnections:    repoConfig.MaxIdleConnections,\n\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n\t\t}\n\n\t\t// TODO: Have separate DB handles for Writes and Reads\n\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n\t\tconnectionURLParams := make(url.Values)\n\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n\t\tcacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\n\t\tconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))\n\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n\n\t\tif cclog.Loglevel() == \"debug\" {\n\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n\t\t} else {\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n\t\t}\n\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\terr = setupSqlite(dbHandle.DB, repoConfig)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tcclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n\t\t\trepoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n\n\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n\t\terr = checkDBVersion(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n\t\t}\n\t})\n}\n\nfunc GetConnection() *DBConnection {\n\tif dbConnInstance == nil {\n\t\tcclog.Fatalf(\"Database connection not initialized!\")\n\t}\n\n\treturn dbConnInstance\n}\n\n// ResetConnection closes the current database connection and resets the connection state.\n// This function is intended for testing purposes only to allow test isolation.\nfunc ResetConnection() error {\n\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n\t\tif err := dbConnInstance.DB.Close(); err != nil {\n\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n\t\t}\n\t}\n\n\tdbConnInstance = nil\n\tdbConnOnce = sync.Once{}\n\tjobRepoInstance = nil\n\tjobRepoOnce = sync.Once{}\n\tnodeRepoInstance = nil\n\tnodeRepoOnce = sync.Once{}\n\tuserRepoInstance = nil\n\tuserRepoOnce = sync.Once{}\n\tuserCfgRepoInstance = nil\n\tuserCfgRepoOnce = sync.Once{}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":70,"oldLines":7,"newStart":70,"newLines":7,"lines":["     connectionURLParams := make(url.Values)","     connectionURLParams.Add(\"_txlock\", \"immediate\")","     connectionURLParams.Add(\"_journal_mode\", \"WAL\")","-    connectionURLParams.Add(\"_busy_timeout\", \"5000\")","+    connectionURLParams.Add(\"_busy_timeout\", fmt.Sprintf(\"%d\", repoConfig.BusyTimeoutMs))","     connectionURLParams.Add(\"_synchronous\", \"NORMAL\")","     cacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB","     connectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"61721dc8-d1c5-4347-931f-d7051b5cc537","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage archive\n\nimport (\n\t\"bytes\"\n\t\"compress/gzip\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"slices\"\n\t\"strconv\"\n\t\"sync\"\n\t\"text/tabwriter\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t_ \"github.com/mattn/go-sqlite3\"\n)\n\n// SqliteArchiveConfig holds the configuration for the SQLite archive backend.\ntype SqliteArchiveConfig struct {\n\tDBPath string `json:\"db-path\"` // Path to SQLite database file\n}\n\n// SqliteArchive implements ArchiveBackend using a SQLite database with BLOB storage.\n// Job metadata and data are stored as JSON BLOBs with indexes for fast queries.\n//\n// Uses WAL (Write-Ahead Logging) mode for better concurrency and a 64MB cache.\ntype SqliteArchive struct {\n\tdb       *sql.DB  // SQLite database connection\n\tclusters []string // List of discovered cluster names\n}\n\n// sqliteSchema defines the database schema for SQLite archive backend.\n// Jobs table: stores job metadata and data as BLOBs with compression flag\n// Clusters table: stores cluster configurations\n// Metadata table: stores version and other key-value pairs\nconst sqliteSchema = `\nCREATE TABLE IF NOT EXISTS jobs (\n    id INTEGER PRIMARY KEY AUTOINCREMENT,\n    job_id INTEGER NOT NULL,\n    cluster TEXT NOT NULL,\n    start_time INTEGER NOT NULL,\n    meta_json BLOB NOT NULL,\n    data_json BLOB,\n    data_compressed BOOLEAN DEFAULT 0,\n    created_at INTEGER NOT NULL,\n    updated_at INTEGER NOT NULL,\n    UNIQUE(job_id, cluster, start_time)\n);\n\nCREATE INDEX IF NOT EXISTS idx_jobs_cluster ON jobs(cluster);\nCREATE INDEX IF NOT EXISTS idx_jobs_start_time ON jobs(start_time);\nCREATE INDEX IF NOT EXISTS idx_jobs_order ON jobs(cluster, start_time);\nCREATE INDEX IF NOT EXISTS idx_jobs_lookup ON jobs(cluster, job_id, start_time);\n\nCREATE TABLE IF NOT EXISTS clusters (\n    name TEXT PRIMARY KEY,\n    config_json BLOB NOT NULL,\n    updated_at INTEGER NOT NULL\n);\n\nCREATE TABLE IF NOT EXISTS metadata (\n    key TEXT PRIMARY KEY,\n    value TEXT NOT NULL\n);\n`\n\nfunc (sa *SqliteArchive) Init(rawConfig json.RawMessage) (uint64, error) {\n\tvar cfg SqliteArchiveConfig\n\tif err := json.Unmarshal(rawConfig, &cfg); err != nil {\n\t\tcclog.Warnf(\"SqliteArchive Init() > Unmarshal error: %#v\", err)\n\t\treturn 0, err\n\t}\n\n\tif cfg.DBPath == \"\" {\n\t\terr := fmt.Errorf(\"SqliteArchive Init(): empty database path\")\n\t\tcclog.Errorf(\"SqliteArchive Init() > config error: %v\", err)\n\t\treturn 0, err\n\t}\n\n\t// Open SQLite database\n\tdb, err := sql.Open(\"sqlite3\", cfg.DBPath)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to open database: %v\", err)\n\t\treturn 0, err\n\t}\n\tsa.db = db\n\n\t// Set pragmas for better performance\n\tpragmas := []string{\n\t\t\"PRAGMA journal_mode=WAL\",\n\t\t\"PRAGMA synchronous=NORMAL\",\n\t\t\"PRAGMA cache_size=-64000\", // 64MB cache\n\t\t\"PRAGMA busy_timeout=5000\",\n\t}\n\tfor _, pragma := range pragmas {\n\t\tif _, err := sa.db.Exec(pragma); err != nil {\n\t\t\tcclog.Warnf(\"SqliteArchive Init() > pragma failed: %v\", err)\n\t\t}\n\t}\n\n\t// Create schema\n\tif _, err := sa.db.Exec(sqliteSchema); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > schema creation failed: %v\", err)\n\t\treturn 0, err\n\t}\n\n\t// Check/set version\n\tvar versionStr string\n\terr = sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'version'\").Scan(&versionStr)\n\tif err == sql.ErrNoRows {\n\t\t// First time initialization, set version\n\t\t_, err = sa.db.Exec(\"INSERT INTO metadata (key, value) VALUES ('version', ?)\", fmt.Sprintf(\"%d\", Version))\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to set version: %v\", err)\n\t\t\treturn 0, err\n\t\t}\n\t\tversionStr = fmt.Sprintf(\"%d\", Version)\n\t} else if err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to read version: %v\", err)\n\t\treturn 0, err\n\t}\n\n\tversion, err := strconv.ParseUint(versionStr, 10, 64)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > version parse error: %v\", err)\n\t\treturn 0, err\n\t}\n\n\tif version != Version {\n\t\treturn version, fmt.Errorf(\"unsupported version %d, need %d\", version, Version)\n\t}\n\n\t// Discover clusters\n\tsa.clusters = []string{}\n\trows, err := sa.db.Query(\"SELECT DISTINCT cluster FROM jobs ORDER BY cluster\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to query clusters: %v\", err)\n\t\treturn 0, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar cluster string\n\t\tif err := rows.Scan(&cluster); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to scan cluster: %v\", err)\n\t\t\tcontinue\n\t\t}\n\t\tsa.clusters = append(sa.clusters, cluster)\n\t}\n\n\tcclog.Infof(\"SqliteArchive initialized with database '%s', found %d clusters\", cfg.DBPath, len(sa.clusters))\n\treturn version, nil\n}\n\nfunc (sa *SqliteArchive) Info() {\n\tfmt.Printf(\"SQLite Job archive database\\n\")\n\n\tci := make(map[string]*clusterInfo)\n\n\trows, err := sa.db.Query(`\n\t\tSELECT cluster, COUNT(*), MIN(start_time), MAX(start_time),\n\t\t       SUM(LENGTH(meta_json) + COALESCE(LENGTH(data_json), 0))\n\t\tFROM jobs\n\t\tGROUP BY cluster\n\t`)\n\tif err != nil {\n\t\tcclog.Fatalf(\"SqliteArchive Info() > query failed: %s\", err.Error())\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar cluster string\n\t\tvar numJobs int\n\t\tvar dateFirst, dateLast int64\n\t\tvar diskSize int64\n\n\t\tif err := rows.Scan(&cluster, &numJobs, &dateFirst, &dateLast, &diskSize); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Info() > scan failed: %v\", err)\n\t\t\tcontinue\n\t\t}\n\n\t\tci[cluster] = &clusterInfo{\n\t\t\tnumJobs:   numJobs,\n\t\t\tdateFirst: dateFirst,\n\t\t\tdateLast:  dateLast,\n\t\t\tdiskSize:  float64(diskSize) / (1024 * 1024), // Convert to MB\n\t\t}\n\t}\n\n\tcit := clusterInfo{dateFirst: time.Now().Unix()}\n\tw := tabwriter.NewWriter(os.Stdout, 0, 0, 2, ' ', tabwriter.Debug)\n\tfmt.Fprintln(w, \"cluster\\t#jobs\\tfrom\\tto\\tsize (MB)\")\n\tfor cluster, clusterInfo := range ci {\n\t\tfmt.Fprintf(w, \"%s\\t%d\\t%s\\t%s\\t%.2f\\n\", cluster,\n\t\t\tclusterInfo.numJobs,\n\t\t\ttime.Unix(clusterInfo.dateFirst, 0),\n\t\t\ttime.Unix(clusterInfo.dateLast, 0),\n\t\t\tclusterInfo.diskSize)\n\n\t\tcit.numJobs += clusterInfo.numJobs\n\t\tcit.dateFirst = util.Min(cit.dateFirst, clusterInfo.dateFirst)\n\t\tcit.dateLast = util.Max(cit.dateLast, clusterInfo.dateLast)\n\t\tcit.diskSize += clusterInfo.diskSize\n\t}\n\n\tfmt.Fprintf(w, \"TOTAL\\t%d\\t%s\\t%s\\t%.2f\\n\",\n\t\tcit.numJobs, time.Unix(cit.dateFirst, 0), time.Unix(cit.dateLast, 0), cit.diskSize)\n\tw.Flush()\n}\n\nfunc (sa *SqliteArchive) Exists(job *schema.Job) bool {\n\tvar count int\n\terr := sa.db.QueryRow(\"SELECT COUNT(*) FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&count)\n\treturn err == nil && count > 0\n}\n\nfunc (sa *SqliteArchive) LoadJobMeta(job *schema.Job) (*schema.Job, error) {\n\tvar metaBlob []byte\n\terr := sa.db.QueryRow(\"SELECT meta_json FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&metaBlob)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobMeta() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif config.Keys.Validate {\n\t\tif err := schema.Validate(schema.Meta, bytes.NewReader(metaBlob)); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"validate job meta: %v\", err)\n\t\t}\n\t}\n\n\treturn DecodeJobMeta(bytes.NewReader(metaBlob))\n}\n\nfunc (sa *SqliteArchive) LoadJobData(job *schema.Job) (schema.JobData, error) {\n\tvar dataBlob []byte\n\tvar compressed bool\n\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\n\tvar reader io.Reader = bytes.NewReader(dataBlob)\n\tif compressed {\n\t\tgzipReader, err := gzip.NewReader(reader)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > gzip error: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\tdefer gzipReader.Close()\n\t\treader = gzipReader\n\t}\n\n\tif config.Keys.Validate {\n\t\tdata, _ := io.ReadAll(reader)\n\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n\t\t\treturn schema.JobData{}, fmt.Errorf(\"validate job data: %v\", err)\n\t\t}\n\t\treturn DecodeJobData(bytes.NewReader(data), key)\n\t}\n\n\treturn DecodeJobData(reader, key)\n}\n\nfunc (sa *SqliteArchive) LoadJobStats(job *schema.Job) (schema.ScopedJobStats, error) {\n\tvar dataBlob []byte\n\tvar compressed bool\n\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\n\tvar reader io.Reader = bytes.NewReader(dataBlob)\n\tif compressed {\n\t\tgzipReader, err := gzip.NewReader(reader)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > gzip error: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\tdefer gzipReader.Close()\n\t\treader = gzipReader\n\t}\n\n\tif config.Keys.Validate {\n\t\tdata, _ := io.ReadAll(reader)\n\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"validate job data: %v\", err)\n\t\t}\n\t\treturn DecodeJobStats(bytes.NewReader(data), key)\n\t}\n\n\treturn DecodeJobStats(reader, key)\n}\n\nfunc (sa *SqliteArchive) LoadClusterCfg(name string) (*schema.Cluster, error) {\n\tvar configBlob []byte\n\terr := sa.db.QueryRow(\"SELECT config_json FROM clusters WHERE name = ?\", name).Scan(&configBlob)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadClusterCfg() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif config.Keys.Validate {\n\t\tif err := schema.Validate(schema.ClusterCfg, bytes.NewReader(configBlob)); err != nil {\n\t\t\tcclog.Warnf(\"Validate cluster config: %v\\n\", err)\n\t\t\treturn &schema.Cluster{}, fmt.Errorf(\"validate cluster config: %v\", err)\n\t\t}\n\t}\n\n\treturn DecodeCluster(bytes.NewReader(configBlob))\n}\n\nfunc (sa *SqliteArchive) StoreJobMeta(job *schema.Job) error {\n\tvar metaBuf bytes.Buffer\n\tif err := EncodeJobMeta(&metaBuf, job); err != nil {\n\t\tcclog.Error(\"SqliteArchive StoreJobMeta() > encoding error\")\n\t\treturn err\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, created_at, updated_at)\n\t\tVALUES (?, ?, ?, ?, ?, ?)\n\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n\t\t\tmeta_json = excluded.meta_json,\n\t\t\tupdated_at = excluded.updated_at\n\t`, job.JobID, job.Cluster, job.StartTime, metaBuf.Bytes(), now, now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive StoreJobMeta() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (sa *SqliteArchive) ImportJob(jobMeta *schema.Job, jobData *schema.JobData) error {\n\tvar metaBuf, dataBuf bytes.Buffer\n\tif err := EncodeJobMeta(&metaBuf, jobMeta); err != nil {\n\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding meta error\")\n\t\treturn err\n\t}\n\tif err := EncodeJobData(&dataBuf, jobData); err != nil {\n\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding data error\")\n\t\treturn err\n\t}\n\n\tvar dataBytes []byte\n\tvar compressed bool\n\n\tif dataBuf.Len() > 2000 {\n\t\tvar compressedBuf bytes.Buffer\n\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n\t\tif _, err := gzipWriter.Write(dataBuf.Bytes()); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip write error: %v\", err)\n\t\t\treturn err\n\t\t}\n\t\tif err := gzipWriter.Close(); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip close error: %v\", err)\n\t\t\treturn err\n\t\t}\n\t\tdataBytes = compressedBuf.Bytes()\n\t\tcompressed = true\n\t} else {\n\t\tdataBytes = dataBuf.Bytes()\n\t\tcompressed = false\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, data_json, data_compressed, created_at, updated_at)\n\t\tVALUES (?, ?, ?, ?, ?, ?, ?, ?)\n\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n\t\t\tmeta_json = excluded.meta_json,\n\t\t\tdata_json = excluded.data_json,\n\t\t\tdata_compressed = excluded.data_compressed,\n\t\t\tupdated_at = excluded.updated_at\n\t`, jobMeta.JobID, jobMeta.Cluster, jobMeta.StartTime, metaBuf.Bytes(), dataBytes, compressed, now, now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive ImportJob() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (sa *SqliteArchive) GetClusters() []string {\n\treturn sa.clusters\n}\n\nfunc (sa *SqliteArchive) CleanUp(jobs []*schema.Job) {\n\tstart := time.Now()\n\tcount := 0\n\n\ttx, err := sa.db.Begin()\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > transaction error: %v\", err)\n\t\treturn\n\t}\n\tdefer tx.Rollback()\n\n\tstmt, err := tx.Prepare(\"DELETE FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > prepare error: %v\", err)\n\t\treturn\n\t}\n\tdefer stmt.Close()\n\n\tfor _, job := range jobs {\n\t\tif job == nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() error: job is nil\")\n\t\t\tcontinue\n\t\t}\n\n\t\tif _, err := stmt.Exec(job.JobID, job.Cluster, job.StartTime); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() > delete error: %v\", err)\n\t\t} else {\n\t\t\tcount++\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > commit error: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Retention Service - Remove %d jobs from SQLite in %s\", count, time.Since(start))\n}\n\nfunc (sa *SqliteArchive) Move(jobs []*schema.Job, targetPath string) {\n\t// For SQLite, \"move\" means updating the cluster field or similar\n\t// This is interpretation-dependent; for now we'll just log\n\tcclog.Warnf(\"SqliteArchive Move() is not fully implemented - moves within database not applicable\")\n}\n\nfunc (sa *SqliteArchive) Clean(before int64, after int64) {\n\tif after == 0 {\n\t\tafter = math.MaxInt64\n\t}\n\n\tresult, err := sa.db.Exec(\"DELETE FROM jobs WHERE start_time < ? OR start_time > ?\", before, after)\n\tif err != nil {\n\t\tcclog.Fatalf(\"SqliteArchive Clean() > delete error: %s\", err.Error())\n\t}\n\n\trowsAffected, _ := result.RowsAffected()\n\tcclog.Infof(\"SqliteArchive Clean() removed %d jobs\", rowsAffected)\n}\n\nfunc (sa *SqliteArchive) Compress(jobs []*schema.Job) {\n\tvar cnt int\n\tstart := time.Now()\n\n\ttx, err := sa.db.Begin()\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > transaction error: %v\", err)\n\t\treturn\n\t}\n\tdefer tx.Rollback()\n\n\tstmt, err := tx.Prepare(\"UPDATE jobs SET data_json = ?, data_compressed = 1 WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > prepare error: %v\", err)\n\t\treturn\n\t}\n\tdefer stmt.Close()\n\n\tfor _, job := range jobs {\n\t\tvar dataBlob []byte\n\t\tvar compressed bool\n\t\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\t\tif err != nil || compressed || len(dataBlob) < 2000 {\n\t\t\tcontinue // Skip if error, already compressed, or too small\n\t\t}\n\n\t\t// Compress the data\n\t\tvar compressedBuf bytes.Buffer\n\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n\t\tif _, err := gzipWriter.Write(dataBlob); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Compress() > gzip error: %v\", err)\n\t\t\tgzipWriter.Close()\n\t\t\tcontinue\n\t\t}\n\t\tgzipWriter.Close()\n\n\t\tif _, err := stmt.Exec(compressedBuf.Bytes(), job.JobID, job.Cluster, job.StartTime); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Compress() > update error: %v\", err)\n\t\t} else {\n\t\t\tcnt++\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > commit error: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Compression Service - %d jobs in SQLite took %s\", cnt, time.Since(start))\n}\n\nfunc (sa *SqliteArchive) CompressLast(starttime int64) int64 {\n\tvar lastStr string\n\terr := sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'compress_last'\").Scan(&lastStr)\n\n\tvar last int64\n\tif err == sql.ErrNoRows {\n\t\tlast = starttime\n\t} else if err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CompressLast() > query error: %v\", err)\n\t\tlast = starttime\n\t} else {\n\t\tlast, err = strconv.ParseInt(lastStr, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CompressLast() > parse error: %v\", err)\n\t\t\tlast = starttime\n\t\t}\n\t}\n\n\tcclog.Infof(\"SqliteArchive CompressLast() - start %d last %d\", starttime, last)\n\n\t// Update timestamp\n\t_, err = sa.db.Exec(`\n\t\tINSERT INTO metadata (key, value) VALUES ('compress_last', ?)\n\t\tON CONFLICT(key) DO UPDATE SET value = excluded.value\n\t`, fmt.Sprintf(\"%d\", starttime))\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CompressLast() > update error: %v\", err)\n\t}\n\n\treturn last\n}\n\ntype sqliteJobRow struct {\n\tmetaBlob   []byte\n\tdataBlob   []byte\n\tcompressed bool\n}\n\nfunc (sa *SqliteArchive) Iter(loadMetricData bool) <-chan JobContainer {\n\tch := make(chan JobContainer)\n\n\tgo func() {\n\t\tdefer close(ch)\n\n\t\tconst chunkSize = 1000\n\t\toffset := 0\n\n\t\tvar query string\n\t\tif loadMetricData {\n\t\t\tquery = \"SELECT meta_json, data_json, data_compressed FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n\t\t} else {\n\t\t\tquery = \"SELECT meta_json FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n\t\t}\n\n\t\tnumWorkers := 4\n\t\tjobRows := make(chan sqliteJobRow, numWorkers*2)\n\t\tvar wg sync.WaitGroup\n\n\t\tfor range numWorkers {\n\t\t\twg.Go(func() {\n\t\t\t\tfor row := range jobRows {\n\t\t\t\t\tjob, err := DecodeJobMeta(bytes.NewReader(row.metaBlob))\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode meta error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\n\t\t\t\t\tif loadMetricData && row.dataBlob != nil {\n\t\t\t\t\t\tvar reader io.Reader = bytes.NewReader(row.dataBlob)\n\t\t\t\t\t\tif row.compressed {\n\t\t\t\t\t\t\tgzipReader, err := gzip.NewReader(reader)\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > gzip error: %v\", err)\n\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tdecompressed, err := io.ReadAll(gzipReader)\n\t\t\t\t\t\t\tgzipReader.Close()\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decompress error: %v\", err)\n\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\treader = bytes.NewReader(decompressed)\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\t\t\t\t\t\tjobData, err := DecodeJobData(reader, key)\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode data error: %v\", err)\n\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: &jobData}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else {\n\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\n\t\tfor {\n\t\t\trows, err := sa.db.Query(query, chunkSize, offset)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Fatalf(\"SqliteArchive Iter() > query error: %s\", err.Error())\n\t\t\t}\n\n\t\t\trowCount := 0\n\t\t\tfor rows.Next() {\n\t\t\t\tvar row sqliteJobRow\n\n\t\t\t\tif loadMetricData {\n\t\t\t\t\tif err := rows.Scan(&row.metaBlob, &row.dataBlob, &row.compressed); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif err := rows.Scan(&row.metaBlob); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\trow.dataBlob = nil\n\t\t\t\t\trow.compressed = false\n\t\t\t\t}\n\n\t\t\t\tjobRows <- row\n\t\t\t\trowCount++\n\t\t\t}\n\t\t\trows.Close()\n\n\t\t\tif rowCount < chunkSize {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\toffset += chunkSize\n\t\t}\n\n\t\tclose(jobRows)\n\t\twg.Wait()\n\t}()\n\n\treturn ch\n}\n\nfunc (sa *SqliteArchive) StoreClusterCfg(name string, config *schema.Cluster) error {\n\tvar configBuf bytes.Buffer\n\tif err := EncodeCluster(&configBuf, config); err != nil {\n\t\tcclog.Error(\"SqliteArchive StoreClusterCfg() > encoding error\")\n\t\treturn err\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO clusters (name, config_json, updated_at)\n\t\tVALUES (?, ?, ?)\n\t\tON CONFLICT(name) DO UPDATE SET\n\t\t\tconfig_json = excluded.config_json,\n\t\t\tupdated_at = excluded.updated_at\n\t`, name, configBuf.Bytes(), now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive StoreClusterCfg() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\t// Update clusters list if new\n\tfound := slices.Contains(sa.clusters, name)\n\tif !found {\n\t\tsa.clusters = append(sa.clusters, name)\n\t}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":102,"oldLines":7,"newStart":102,"newLines":7,"lines":["     \"PRAGMA journal_mode=WAL\",","     \"PRAGMA synchronous=NORMAL\",","     \"PRAGMA cache_size=-64000\", // 64MB cache","-    \"PRAGMA busy_timeout=5000\",","+    \"PRAGMA busy_timeout=60000\",","   }","   for _, pragma := range pragmas {","     if _, err := sa.db.Exec(pragma); err != nil {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"94ecafb1-e6a3-48e2-bfe6-f8d44e7872e4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"bd80c015-d925-4dda-9ef4-c17de72e4519","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Si41CcYiGJS7htJyRZAWE9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NqcSrvVk89yR55JTjfVyqJ","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go","old_string":"func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {","new_string":"// AddUserIfNotExists inserts a user only if the username does not already exist.\n// Uses INSERT OR IGNORE to avoid UNIQUE constraint errors when a user is\n// concurrently created (e.g., by a login while LDAP sync is running).\n// Unlike AddUser, this intentionally skips the deprecated default metrics config insertion.\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := \"username, name, roles, projects, ldap\"\n\t_, err := r.DB.Exec(\n\t\t`INSERT OR IGNORE INTO hpc_user (`+cols+`) VALUES (?, ?, ?, ?, ?)`,\n\t\tuser.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n\treturn err\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1320,"cache_read_input_tokens":66713,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1320},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6afAUESQvCcpF23cbnH","type":"assistant","uuid":"d8c87700-46e1-4aed-bb74-9a129f330bca","timestamp":"2026-03-16T10:13:08.817Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d8c87700-46e1-4aed-bb74-9a129f330bca","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01NqcSrvVk89yR55JTjfVyqJ","toolUseID":"toolu_01NqcSrvVk89yR55JTjfVyqJ","timestamp":"2026-03-16T10:13:08.825Z","uuid":"313b3b15-2243-427f-9e46-746efe480339","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d8c87700-46e1-4aed-bb74-9a129f330bca","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NqcSrvVk89yR55JTjfVyqJ","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go has been updated successfully."}]},"uuid":"1dcd7d16-6392-4be2-b84d-063eef53646b","timestamp":"2026-03-16T10:13:08.825Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go","oldString":"func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {","newString":"// AddUserIfNotExists inserts a user only if the username does not already exist.\n// Uses INSERT OR IGNORE to avoid UNIQUE constraint errors when a user is\n// concurrently created (e.g., by a login while LDAP sync is running).\n// Unlike AddUser, this intentionally skips the deprecated default metrics config insertion.\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := \"username, name, roles, projects, ldap\"\n\t_, err := r.DB.Exec(\n\t\t`INSERT OR IGNORE INTO hpc_user (`+cols+`) VALUES (?, ?, ?, ?, ?)`,\n\t\tuser.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n\treturn err\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"reflect\"\n\t\"strings\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"golang.org/x/crypto/bcrypt\"\n)\n\n// Authentication and Role System:\n//\n// ClusterCockpit supports multiple authentication sources:\n//   - Local: Username/password stored in database (password hashed with bcrypt)\n//   - LDAP: External LDAP/Active Directory authentication\n//   - JWT: Token-based authentication for API access\n//\n// Role Hierarchy (from highest to lowest privilege):\n//   1. \"admin\" - Full system access, can manage all users and jobs\n//   2. \"support\" - Can view all jobs but limited management capabilities\n//   3. \"manager\" - Can manage specific projects and their users\n//   4. \"api\" - Programmatic access for job submission/management\n//   5. \"user\" - Default role, can only view own jobs\n//\n// Project Association:\n//   - Managers have a list of projects they oversee\n//   - Regular users' project membership is determined by job data\n//   - Managers can view/manage all jobs within their projects\n\nvar (\n\tuserRepoOnce     sync.Once\n\tuserRepoInstance *UserRepository\n)\n\ntype UserRepository struct {\n\tDB     *sqlx.DB\n\tdriver string\n}\n\nfunc GetUserRepository() *UserRepository {\n\tuserRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tuserRepoInstance = &UserRepository{\n\t\t\tDB:     db.DB,\n\t\t\tdriver: db.Driver,\n\t\t}\n\t})\n\treturn userRepoInstance\n}\n\n// GetUser retrieves a user by username from the database.\n// Returns the complete user record including hashed password, roles, and projects.\n// Password field contains bcrypt hash for local auth users, empty for LDAP users.\nfunc (r *UserRepository) GetUser(username string) (*schema.User, error) {\n\tuser := &schema.User{Username: username}\n\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Password = hashedPassword.String\n\tuser.Name = name.String\n\tuser.Email = email.String\n\tif rawRoles.Valid {\n\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\tif rawProjects.Valid {\n\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn user, nil\n}\n\nfunc (r *UserRepository) GetLdapUsernames() ([]string, error) {\n\tvar users []string\n\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying usernames\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar username string\n\t\tif err := rows.Scan(&username); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tusers = append(users, username)\n\t}\n\n\treturn users, nil\n}\n\n// AddUser creates a new user in the database.\n// Passwords are automatically hashed with bcrypt before storage.\n// Auth source determines authentication method (local, LDAP, etc.).\n//\n// Required fields: Username, Roles\n// Optional fields: Name, Email, Password, Projects, AuthSource\nfunc (r *UserRepository) AddUser(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := []string{\"username\", \"roles\", \"projects\"}\n\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n\n\tif user.Name != \"\" {\n\t\tcols = append(cols, \"name\")\n\t\tvals = append(vals, user.Name)\n\t}\n\tif user.Email != \"\" {\n\t\tcols = append(cols, \"email\")\n\t\tvals = append(vals, user.Email)\n\t}\n\tif user.Password != \"\" {\n\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"Error while encrypting new user password\")\n\t\t\treturn err\n\t\t}\n\t\tcols = append(cols, \"password\")\n\t\tvals = append(vals, string(password))\n\t}\n\tif user.AuthSource != -1 {\n\t\tcols = append(cols, \"ldap\")\n\t\tvals = append(vals, int(user.AuthSource))\n\t}\n\n\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n\t\treturn err\n\t}\n\n\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n\n\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n\t} else if defaultMetricsCfg != nil {\n\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n\t\t\tif _, err := sq.Insert(\"configuration\").\n\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n\t\t\t} else {\n\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n\t\t\t}\n\t\t}\n\t}\n\t// END DEPRECATION\n\n\treturn nil\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n\t// user contains updated info -> Apply to dbUser\n\t// --- Simple Name Update ---\n\tif dbUser.Name != user.Name {\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Def Helpers ---\n\t// Helper to update roles\n\tupdateRoles := func(roles []string) error {\n\t\trolesJSON, _ := json.Marshal(roles)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to update projects\n\tupdateProjects := func(projects []string) error {\n\t\tprojectsJSON, _ := json.Marshal(projects)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to clear projects\n\tclearProjects := func() error {\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// --- Manager Role Handling ---\n\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n\t\t// Existing Manager: update projects\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Manager: update roles and projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n\t\t// Remove Manager: update roles and clear projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := clearProjects(); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Support Role Handling ---\n\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t// Remove Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) DelUser(username string) error {\n\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted user '%s' from DB\", username)\n\treturn nil\n}\n\nfunc (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n\tif specialsOnly {\n\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n\t}\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying user list\")\n\t\treturn nil, err\n\t}\n\n\tusers := make([]*schema.User, 0)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\trawroles := \"\"\n\t\trawprojects := \"\"\n\t\tuser := &schema.User{}\n\t\tvar name, email sql.NullString\n\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning user list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tuser.Name = name.String\n\t\tuser.Email = email.String\n\t\tusers = append(users, user)\n\t}\n\treturn users, nil\n}\n\n// AddRole adds a role to a user's role list.\n// Role string is automatically lowercased.\n// Valid roles: admin, support, manager, api, user\n//\n// Returns error if:\n//   - User doesn't exist\n//   - Role is invalid\n//   - User already has the role\nfunc (r *UserRepository) AddRole(\n\tctx context.Context,\n\tusername string,\n\tqueryrole string,\n) error {\n\tnewRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(newRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n\t}\n\tif exists {\n\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n\t}\n\n\troles, _ := json.Marshal(append(user.Roles, newRole))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// RemoveRole removes a role from a user's role list.\n//\n// Special rules:\n//   - Cannot remove \"manager\" role while user has assigned projects\n//   - Must remove all projects first before removing manager role\nfunc (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n\toldRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(oldRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n\t}\n\tif !exists {\n\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n\t}\n\n\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n\t}\n\n\tvar newroles []string\n\tfor _, r := range user.Roles {\n\t\tif r != oldRole {\n\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n\t\t}\n\t}\n\n\tmroles, _ := json.Marshal(newroles)\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// AddProject assigns a project to a manager user.\n// Only users with the \"manager\" role can have assigned projects.\n//\n// Returns error if:\n//   - User doesn't have manager role\n//   - User already manages the project\nfunc (r *UserRepository) AddProject(\n\tctx context.Context,\n\tusername string,\n\tproject string,\n) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n\t}\n\n\tif user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n\t}\n\n\tprojects, _ := json.Marshal(append(user.Projects, project))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n\t}\n\n\tif !user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n\t}\n\n\tvar exists bool\n\tvar newprojects []string\n\tfor _, p := range user.Projects {\n\t\tif p != project {\n\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n\t\t} else {\n\t\t\texists = true\n\t\t}\n\t}\n\n\tif exists {\n\t\tvar result any\n\t\tif len(newprojects) == 0 {\n\t\t\tresult = \"[]\"\n\t\t} else {\n\t\t\tresult, _ = json.Marshal(newprojects)\n\t\t}\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\t\treturn err\n\t\t}\n\t\treturn nil\n\t} else {\n\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n\t}\n}\n\ntype ContextKey string\n\nconst ContextUserKey ContextKey = \"user\"\n\nfunc GetUserFromContext(ctx context.Context) *schema.User {\n\tx := ctx.Value(ContextUserKey)\n\tif x == nil {\n\t\tcclog.Warnf(\"no user retrieved from context\")\n\t\treturn nil\n\t}\n\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n\treturn x.(*schema.User)\n}\n\nfunc (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n\tme := GetUserFromContext(ctx)\n\tif me != nil && me.Username != username &&\n\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"forbidden\")\n\t}\n\n\tuser := &model.User{Username: username}\n\tvar name, email sql.NullString\n\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n\t\t\treturn nil, nil\n\t\t}\n\n\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Name = name.String\n\tuser.Email = email.String\n\treturn user, nil\n}\n","structuredPatch":[{"oldStart":188,"oldLines":6,"newStart":188,"newLines":21,"lines":["   return nil"," }"," ","+// AddUserIfNotExists inserts a user only if the username does not already exist.","+// Uses INSERT OR IGNORE to avoid UNIQUE constraint errors when a user is","+// concurrently created (e.g., by a login while LDAP sync is running).","+// Unlike AddUser, this intentionally skips the deprecated default metrics config insertion.","+func (r *UserRepository) AddUserIfNotExists(user *schema.User) error {","+  rolesJson, _ := json.Marshal(user.Roles)","+  projectsJson, _ := json.Marshal(user.Projects)","+","+  cols := \"username, name, roles, projects, ldap\"","+  _, err := r.DB.Exec(","+    `INSERT OR IGNORE INTO hpc_user (`+cols+`) VALUES (?, ?, ?, ?, ?)`,","+    user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))","+  return err","+}","+"," func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {","   // user contains updated info -> Apply to dbUser","   // --- Simple Name Update ---"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"d8c87700-46e1-4aed-bb74-9a129f330bca","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage auth\n\nimport (\n\t\"fmt\"\n\t\"net\"\n\t\"net/http\"\n\t\"os\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/go-ldap/ldap/v3\"\n)\n\ntype LdapConfig struct {\n\tURL             string `json:\"url\"`\n\tUserBase        string `json:\"user-base\"`\n\tSearchDN        string `json:\"search-dn\"`\n\tUserBind        string `json:\"user-bind\"`\n\tUserFilter      string `json:\"user-filter\"`\n\tUserAttr        string `json:\"username-attr\"`\n\tUIDAttr         string `json:\"uid-attr\"`\n\tSyncInterval    string `json:\"sync-interval\"` // Parsed using time.ParseDuration.\n\tSyncDelOldUsers bool   `json:\"sync-del-old-users\"`\n\n\t// Should a non-existent user be added to the DB if user exists in ldap directory\n\tSyncUserOnLogin   bool `json:\"sync-user-on-login\"`\n\tUpdateUserOnLogin bool `json:\"update-user-on-login\"`\n}\n\ntype LdapAuthenticator struct {\n\tsyncPassword string\n\tUserAttr     string\n\tUIDAttr      string\n}\n\nvar _ Authenticator = (*LdapAuthenticator)(nil)\n\nfunc (la *LdapAuthenticator) Init() error {\n\tla.syncPassword = os.Getenv(\"LDAP_ADMIN_PASSWORD\")\n\tif la.syncPassword == \"\" {\n\t\tcclog.Warn(\"environment variable 'LDAP_ADMIN_PASSWORD' not set (ldap sync will not work)\")\n\t}\n\n\tif Keys.LdapConfig.UserAttr != \"\" {\n\t\tla.UserAttr = Keys.LdapConfig.UserAttr\n\t} else {\n\t\tla.UserAttr = \"gecos\"\n\t}\n\n\tif Keys.LdapConfig.UIDAttr != \"\" {\n\t\tla.UIDAttr = Keys.LdapConfig.UIDAttr\n\t} else {\n\t\tla.UIDAttr = \"uid\"\n\t}\n\n\treturn nil\n}\n\nfunc (la *LdapAuthenticator) CanLogin(\n\tuser *schema.User,\n\tusername string,\n\trw http.ResponseWriter,\n\tr *http.Request,\n) (*schema.User, bool) {\n\tlc := Keys.LdapConfig\n\n\tif user != nil {\n\t\tif user.AuthSource == schema.AuthViaLDAP {\n\t\t\treturn user, true\n\t\t}\n\t} else if lc.SyncUserOnLogin {\n\t\tl, err := la.getLdapConnection(true)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"LDAP connection error\")\n\t\t\treturn nil, false\n\t\t}\n\t\tdefer l.Close()\n\n\t\t// Search for the given username\n\t\tsearchRequest := ldap.NewSearchRequest(\n\t\t\tlc.UserBase,\n\t\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n\t\t\tfmt.Sprintf(\"(&%s(%s=%s))\", lc.UserFilter, la.UIDAttr, ldap.EscapeFilter(username)),\n\t\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil)\n\n\t\tsr, err := l.Search(searchRequest)\n\t\tif err != nil {\n\t\t\tcclog.Warn(err)\n\t\t\treturn nil, false\n\t\t}\n\n\t\tif len(sr.Entries) != 1 {\n\t\t\tcclog.Warn(\"LDAP: User does not exist or too many entries returned\")\n\t\t\treturn nil, false\n\t\t}\n\n\t\tentry := sr.Entries[0]\n\t\tuser = &schema.User{\n\t\t\tUsername:   username,\n\t\t\tName:       entry.GetAttributeValue(la.UserAttr),\n\t\t\tRoles:      []string{schema.GetRoleString(schema.RoleUser)},\n\t\t\tProjects:   make([]string, 0),\n\t\t\tAuthType:   schema.AuthSession,\n\t\t\tAuthSource: schema.AuthViaLDAP,\n\t\t}\n\n\t\thandleLdapUser(user)\n\t\treturn user, true\n\t}\n\n\treturn nil, false\n}\n\nfunc (la *LdapAuthenticator) Login(\n\tuser *schema.User,\n\trw http.ResponseWriter,\n\tr *http.Request,\n) (*schema.User, error) {\n\tl, err := la.getLdapConnection(false)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting ldap connection\")\n\t\treturn nil, err\n\t}\n\tdefer l.Close()\n\n\tuserDn := strings.ReplaceAll(Keys.LdapConfig.UserBind, \"{username}\", ldap.EscapeDN(user.Username))\n\tif err := l.Bind(userDn, r.FormValue(\"password\")); err != nil {\n\t\tcclog.Errorf(\"AUTH/LDAP > Authentication for user %s failed: %v\",\n\t\t\tuser.Username, err)\n\t\treturn nil, fmt.Errorf(\"Authentication failed\")\n\t}\n\n\treturn user, nil\n}\n\nfunc (la *LdapAuthenticator) Sync() error {\n\tconst InDB int = 1\n\tconst InLdap int = 2\n\tconst InBoth int = 3\n\tur := repository.GetUserRepository()\n\tlc := Keys.LdapConfig\n\n\tusers := map[string]int{}\n\tusernames, err := ur.GetLdapUsernames()\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tfor _, username := range usernames {\n\t\tusers[username] = InDB\n\t}\n\n\tl, err := la.getLdapConnection(true)\n\tif err != nil {\n\t\tcclog.Error(\"LDAP connection error\")\n\t\treturn err\n\t}\n\tdefer l.Close()\n\n\tldapResults, err := l.Search(ldap.NewSearchRequest(\n\t\tlc.UserBase,\n\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n\t\tlc.UserFilter,\n\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil))\n\tif err != nil {\n\t\tcclog.Warn(\"LDAP search error\")\n\t\treturn err\n\t}\n\n\tnewnames := map[string]string{}\n\tfor _, entry := range ldapResults.Entries {\n\t\tusername := entry.GetAttributeValue(la.UIDAttr)\n\t\tif username == \"\" {\n\t\t\treturn fmt.Errorf(\"no attribute '%s'\", la.UIDAttr)\n\t\t}\n\n\t\t_, ok := users[username]\n\t\tif !ok {\n\t\t\tusers[username] = InLdap\n\t\t\tnewnames[username] = entry.GetAttributeValue(la.UserAttr)\n\t\t} else {\n\t\t\tusers[username] = InBoth\n\t\t}\n\t}\n\n\tfor username, where := range users {\n\t\tif where == InDB && lc.SyncDelOldUsers {\n\t\t\tif err := ur.DelUser(username); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Delete from DB failed: %v\", username, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tcclog.Debugf(\"sync: remove %v (does not show up in LDAP anymore)\", username)\n\t\t} else if where == InLdap {\n\t\t\tname := newnames[username]\n\n\t\t\tuser := &schema.User{\n\t\t\t\tUsername:   username,\n\t\t\t\tName:       name,\n\t\t\t\tRoles:      []string{schema.GetRoleString(schema.RoleUser)},\n\t\t\t\tProjects:   make([]string, 0),\n\t\t\t\tAuthSource: schema.AuthViaLDAP,\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)\n\t\t\tif err := ur.AddUser(user); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (la *LdapAuthenticator) getLdapConnection(admin bool) (*ldap.Conn, error) {\n\tlc := Keys.LdapConfig\n\tconn, err := ldap.DialURL(lc.URL,\n\t\tldap.DialWithDialer(&net.Dialer{Timeout: 10 * time.Second}))\n\tif err != nil {\n\t\tcclog.Warn(\"LDAP URL dial failed\")\n\t\treturn nil, err\n\t}\n\tconn.SetTimeout(30 * time.Second)\n\n\tif admin {\n\t\tif err := conn.Bind(lc.SearchDN, la.syncPassword); err != nil {\n\t\t\tconn.Close()\n\t\t\tcclog.Warn(\"LDAP connection bind failed\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn conn, nil\n}\n","structuredPatch":[{"oldStart":210,"oldLines":7,"newStart":210,"newLines":7,"lines":["       }"," ","       cclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)","-      if err := ur.AddUser(user); err != nil {","+      if err := ur.AddUserIfNotExists(user); err != nil {","         cclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)","         return err","       }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"3c5446a0-7ebb-4e4d-a628-43081fdf6210","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"7956bad8-245f-4be0-b117-98737a7e1662","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SpSpXZdAKM2U8sZBhacLFJ","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go has been updated successfully."}]},"uuid":"3ffb462b-6cfb-46e9-ae85-f08a006b0ead","timestamp":"2026-03-16T10:13:26.419Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go","oldString":"// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {","newString":"// NodeStateUpdate holds the data needed to update one node's state in a batch operation.\ntype NodeStateUpdate struct {\n\tHostname  string\n\tCluster   string\n\tNodeState *schema.NodeStateDB\n}\n\n// BatchUpdateNodeStates inserts node state rows for multiple nodes in a single transaction.\n// For each node, it looks up (or creates) the node row, then inserts the state row.\n// This reduces lock acquisitions from 2*N to 1 for N nodes.\nfunc (r *NodeRepository) BatchUpdateNodeStates(updates []NodeStateUpdate) error {\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: begin transaction: %w\", err)\n\t}\n\tdefer tx.Rollback()\n\n\tstmtLookup, err := tx.Preparex(\"SELECT id FROM node WHERE hostname = ? AND cluster = ?\")\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare lookup: %w\", err)\n\t}\n\tdefer stmtLookup.Close()\n\n\tstmtInsertNode, err := tx.PrepareNamed(NamedNodeInsert)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare node insert: %w\", err)\n\t}\n\tdefer stmtInsertNode.Close()\n\n\tstmtInsertState, err := tx.PrepareNamed(NamedNodeStateInsert)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare state insert: %w\", err)\n\t}\n\tdefer stmtInsertState.Close()\n\n\tfor _, u := range updates {\n\t\tvar id int64\n\t\tif err := stmtLookup.QueryRow(u.Hostname, u.Cluster).Scan(&id); err != nil {\n\t\t\tif err == sql.ErrNoRows {\n\t\t\t\tsubcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)\n\t\t\t\tif scErr != nil {\n\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: subcluster lookup for '%s' in '%s': %v\", u.Hostname, u.Cluster, scErr)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tnode := schema.NodeDB{\n\t\t\t\t\tHostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,\n\t\t\t\t}\n\t\t\t\tres, insertErr := stmtInsertNode.Exec(&node)\n\t\t\t\tif insertErr != nil {\n\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tid, _ = res.LastInsertId()\n\t\t\t} else {\n\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: lookup node '%s': %v\", u.Hostname, err)\n\t\t\t\tcontinue\n\t\t\t}\n\t\t}\n\n\t\tu.NodeState.NodeID = id\n\t\tif _, err := stmtInsertState.Exec(u.NodeState); err != nil {\n\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert state for '%s': %v\", u.Hostname, err)\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: commit: %w\", err)\n\t}\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sort\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\tnodeRepoOnce     sync.Once\n\tnodeRepoInstance *NodeRepository\n)\n\ntype NodeRepository struct {\n\tDB        *sqlx.DB\n\tstmtCache *sq.StmtCache\n\tcache     *lrucache.Cache\n\tdriver    string\n}\n\nfunc GetNodeRepository() *NodeRepository {\n\tnodeRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tnodeRepoInstance = &NodeRepository{\n\t\t\tDB:     db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache:     lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn nodeRepoInstance\n}\n\n// latestStateCondition returns a squirrel expression that restricts node_state\n// rows to the latest per node_id using a correlated subquery.\n// Requires the query to join node and node_state tables.\nfunc latestStateCondition() sq.Sqlizer {\n\treturn sq.Expr(\n\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n\t)\n}\n\n// applyNodeFilters applies common NodeFilter conditions to a query that joins\n// the node and node_state tables with latestStateCondition.\nfunc applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\treturn query\n}\n\nfunc (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n\tstart := time.Now()\n\n\tRawMetaData := make([]byte, 0)\n\n\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n\t\tcclog.Warn(\"Error while scanning for node metadata\")\n\t\treturn nil, err\n\t}\n\n\tif len(RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tMetaData := make(map[string]string)\n\n\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn MetaData, nil\n}\n\nfunc (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tvar err error\n\t\tvar meta map[string]string\n\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n\t\t\treturn nil, err\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\nfunc (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.id = ?\", id).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n\t\tif metaErr != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n\t\t\treturn nil, metaErr\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\n// const NamedNodeInsert string = `\n// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n//\n//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n\nconst NamedNodeInsert string = `\nINSERT INTO node (hostname, cluster, subcluster)\n\tVALUES (:hostname, :cluster, :subcluster);`\n\n// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n// from a nodestate update from the job scheduler.\nfunc (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n\tvar err error\n\n\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\tnode.ID, err = res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\n\treturn node.ID, nil\n}\n\nconst NamedNodeStateInsert string = `\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n\n// TODO: Add real Monitoring Health State\n\n// UpdateNodeState is called from the Node REST API to add a row in the node state table\nfunc (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n\tvar id int64\n\n\tif err := sq.Select(\"id\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n\t\tQueryRow().Scan(&id); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tnode := schema.NodeDB{\n\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n\t\t\t}\n\t\t\tid, err = r.AddNode(&node)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n\t\t\treturn err\n\t\t}\n\t}\n\n\tnodeState.NodeID = id\n\n\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n\t\treturn err\n\t}\n\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n// \t\treturn err\n// \t}\n//\n// \treturn nil\n// }\n\n// NodeStateWithNode combines a node state row with denormalized node info.\ntype NodeStateWithNode struct {\n\tID              int64  `db:\"id\"`\n\tTimeStamp       int64  `db:\"time_stamp\"`\n\tNodeState       string `db:\"node_state\"`\n\tHealthState     string `db:\"health_state\"`\n\tHealthMetrics   string `db:\"health_metrics\"`\n\tCpusAllocated   int    `db:\"cpus_allocated\"`\n\tMemoryAllocated int64  `db:\"memory_allocated\"`\n\tGpusAllocated   int    `db:\"gpus_allocated\"`\n\tJobsRunning     int    `db:\"jobs_running\"`\n\tHostname        string `db:\"hostname\"`\n\tCluster         string `db:\"cluster\"`\n\tSubCluster      string `db:\"subcluster\"`\n}\n\n// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n// joined with node info for denormalized archiving.\nfunc (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n\trows, err := sq.Select(\n\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t).\n\t\tFrom(\"node_state\").\n\t\tJoin(\"node ON node_state.node_id = node.id\").\n\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n\t\tRunWith(r.DB).Query()\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tvar result []NodeStateWithNode\n\tfor rows.Next() {\n\t\tvar ns NodeStateWithNode\n\t\tvar healthMetrics sql.NullString\n\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n\t\t\t&ns.HealthState, &healthMetrics,\n\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tns.HealthMetrics = healthMetrics.String\n\t\tresult = append(result, ns)\n\t}\n\treturn result, nil\n}\n\n// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n// but always preserves the row with the latest timestamp per node_id.\nfunc (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t`DELETE FROM node_state WHERE time_stamp < ?\n\t\t AND id NOT IN (\n\t\t   SELECT id FROM node_state ns2\n\t\t   WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n\t\t )`,\n\t\tcutoff,\n\t)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn res.RowsAffected()\n}\n\nfunc (r *NodeRepository) DeleteNode(id int64) error {\n\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted node '%d' from DB\", id)\n\treturn nil\n}\n\n// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.\nfunc (r *NodeRepository) CountNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n) (int, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column, \"COUNT(*) as count\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()).\n\t\t\tGroupBy(column))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, &timestamp, &count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,\n\tpage *model.PageRequest,\n) ([]string, map[string]string, int, bool, error) {\n\t// Init Return Vars\n\tnodes := make([]string, 0)\n\tstateMap := make(map[string]string)\n\tcountNodes := 0\n\thasNextPage := false\n\n\t// Build Filters\n\tqueryFilters := make([]*model.NodeFilter, 0)\n\tif cluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n\t}\n\tif subCluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n\t}\n\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n\t}\n\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n\t\tqueryState := schema.SchedulerState(stateFilter)\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n\t}\n\t// if healthFilter != \"all\" {\n\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n\t// }\n\n\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n\tvar backupItems int\n\tif stateFilter == \"notindb\" {\n\t\tbackupItems = page.ItemsPerPage\n\t\tpage.ItemsPerPage = -1\n\t}\n\n\t// Query Nodes From DB\n\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n\tif serr != nil {\n\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n\t\treturn nil, nil, 0, false, serr\n\t}\n\n\t// Intermediate Node Result Info\n\tfor _, node := range rawNodes {\n\t\tif node == nil {\n\t\t\tcontinue\n\t\t}\n\t\tnodes = append(nodes, node.Hostname)\n\t\tstateMap[node.Hostname] = string(node.NodeState)\n\t}\n\n\t// Special Case: Find Nodes not in DB node table but in metricStore only\n\tif stateFilter == \"notindb\" {\n\t\t// Reapply Original Paging\n\t\tpage.ItemsPerPage = backupItems\n\t\t// Get Nodes From Topology\n\t\tvar topoNodes []string\n\t\tif subCluster != \"\" {\n\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\t\ttopoNodes = scNodes.PrintList()\n\t\t} else {\n\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n\t\t\t}\n\t\t}\n\t\t// Compare to all nodes from cluster/subcluster in DB\n\t\tvar missingNodes []string\n\t\tfor _, scanNode := range topoNodes {\n\t\t\tif !slices.Contains(nodes, scanNode) {\n\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n\t\t\t}\n\t\t}\n\t\t// Filter nodes by name\n\t\tif nodeFilter != \"\" {\n\t\t\tfilteredNodesByName := []string{}\n\t\t\tfor _, missingNode := range missingNodes {\n\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n\t\t\t\t}\n\t\t\t}\n\t\t\tmissingNodes = filteredNodesByName\n\t\t}\n\t\t// Sort Missing Nodes Alphanumerically\n\t\tslices.Sort(missingNodes)\n\t\t// Total Missing\n\t\tcountNodes = len(missingNodes)\n\t\t// Apply paging\n\t\tif countNodes > page.ItemsPerPage {\n\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\t\tend := start + page.ItemsPerPage\n\t\t\tif end > countNodes {\n\t\t\t\tend = countNodes\n\t\t\t\thasNextPage = false\n\t\t\t} else {\n\t\t\t\thasNextPage = true\n\t\t\t}\n\t\t\tnodes = missingNodes[start:end]\n\t\t} else {\n\t\t\tnodes = missingNodes\n\t\t}\n\n\t} else {\n\t\t// DB Nodes: Count and derive hasNextPage from count\n\t\tvar cerr error\n\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n\t\tif cerr != nil {\n\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n\t\t\treturn nil, nil, 0, false, cerr\n\t\t}\n\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n\t}\n\n\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n\tif stateFilter == \"all\" && countNodes == 0 {\n\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n\t}\n\n\treturn nodes, stateMap, countNodes, hasNextPage, nil\n}\n\nfunc AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn AccessCheckWithUser(user, query)\n}\n\nfunc AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n\t// \treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n\t\treturn query, nil\n\tdefault: // No known Role: No Access, return error\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\nfunc getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n\t// 0) Init additional vars\n\thasNextPage := false\n\ttotalNodes := 0\n\n\t// 1) Get list of all nodes\n\tvar topolNodes []string\n\tif subCluster != \"\" {\n\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\ttopolNodes = scNodes.PrintList()\n\t} else {\n\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n\t\t}\n\t}\n\n\t// 2) Filter nodes\n\tif nodeFilter != \"\" {\n\t\tfilteredNodes := []string{}\n\t\tfor _, node := range topolNodes {\n\t\t\tif strings.Contains(node, nodeFilter) {\n\t\t\t\tfilteredNodes = append(filteredNodes, node)\n\t\t\t}\n\t\t}\n\t\ttopolNodes = filteredNodes\n\t}\n\n\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n\ttotalNodes = len(topolNodes)\n\tsort.Strings(topolNodes)\n\n\t// 3) Apply paging\n\tif len(topolNodes) > page.ItemsPerPage {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tend := start + page.ItemsPerPage\n\t\tif end >= len(topolNodes) {\n\t\t\tend = len(topolNodes)\n\t\t\thasNextPage = false\n\t\t} else {\n\t\t\thasNextPage = true\n\t\t}\n\t\ttopolNodes = topolNodes[start:end]\n\t}\n\n\treturn topolNodes, totalNodes, hasNextPage\n}\n","structuredPatch":[{"oldStart":244,"oldLines":6,"newStart":244,"newLines":77,"lines":["   return nil"," }"," ","+// NodeStateUpdate holds the data needed to update one node's state in a batch operation.","+type NodeStateUpdate struct {","+  Hostname  string","+  Cluster   string","+  NodeState *schema.NodeStateDB","+}","+","+// BatchUpdateNodeStates inserts node state rows for multiple nodes in a single transaction.","+// For each node, it looks up (or creates) the node row, then inserts the state row.","+// This reduces lock acquisitions from 2*N to 1 for N nodes.","+func (r *NodeRepository) BatchUpdateNodeStates(updates []NodeStateUpdate) error {","+  tx, err := r.DB.Beginx()","+  if err != nil {","+    return fmt.Errorf(\"BatchUpdateNodeStates: begin transaction: %w\", err)","+  }","+  defer tx.Rollback()","+","+  stmtLookup, err := tx.Preparex(\"SELECT id FROM node WHERE hostname = ? AND cluster = ?\")","+  if err != nil {","+    return fmt.Errorf(\"BatchUpdateNodeStates: prepare lookup: %w\", err)","+  }","+  defer stmtLookup.Close()","+","+  stmtInsertNode, err := tx.PrepareNamed(NamedNodeInsert)","+  if err != nil {","+    return fmt.Errorf(\"BatchUpdateNodeStates: prepare node insert: %w\", err)","+  }","+  defer stmtInsertNode.Close()","+","+  stmtInsertState, err := tx.PrepareNamed(NamedNodeStateInsert)","+  if err != nil {","+    return fmt.Errorf(\"BatchUpdateNodeStates: prepare state insert: %w\", err)","+  }","+  defer stmtInsertState.Close()","+","+  for _, u := range updates {","+    var id int64","+    if err := stmtLookup.QueryRow(u.Hostname, u.Cluster).Scan(&id); err != nil {","+      if err == sql.ErrNoRows {","+        subcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)","+        if scErr != nil {","+          cclog.Errorf(\"BatchUpdateNodeStates: subcluster lookup for '%s' in '%s': %v\", u.Hostname, u.Cluster, scErr)","+          continue","+        }","+        node := schema.NodeDB{","+          Hostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,","+        }","+        res, insertErr := stmtInsertNode.Exec(&node)","+        if insertErr != nil {","+          cclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)","+          continue","+        }","+        id, _ = res.LastInsertId()","+      } else {","+        cclog.Errorf(\"BatchUpdateNodeStates: lookup node '%s': %v\", u.Hostname, err)","+        continue","+      }","+    }","+","+    u.NodeState.NodeID = id","+    if _, err := stmtInsertState.Exec(u.NodeState); err != nil {","+      cclog.Errorf(\"BatchUpdateNodeStates: insert state for '%s': %v\", u.Hostname, err)","+    }","+  }","+","+  if err := tx.Commit(); err != nil {","+    return fmt.Errorf(\"BatchUpdateNodeStates: commit: %w\", err)","+  }","+  return nil","+}","+"," // func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {"," // \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {"," // \t\tcclog.Errorf(\"error while updating node '%d'\", id)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"7956bad8-245f-4be0-b117-98737a7e1662","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"9006a851-8e89-47d0-8cc0-6a71f7579d4c","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SfYezs5gWfSaJwFBvZwTQm","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"d3f9fff6-c5c7-4b6a-9ccf-be1ce553c3d1","timestamp":"2026-03-16T10:13:42.820Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)","newString":"\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":345,"oldLines":6,"newStart":345,"newLines":7,"lines":["   repo := repository.GetNodeRepository()","   requestReceived := time.Now().Unix()"," ","+  updates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))","   for _, node := range req.Nodes {","     state := determineState(node.States)","     nodeState := schema.NodeStateDB{"]},{"oldStart":356,"oldLines":11,"newStart":357,"newLines":15,"lines":["       HealthState:     schema.MonitoringStateFull,","       JobsRunning:     node.JobsRunning,","     }","+    updates = append(updates, repository.NodeStateUpdate{","+      Hostname:  node.Hostname,","+      Cluster:   req.Cluster,","+      NodeState: &nodeState,","+    })","+  }"," ","-    if err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {","-      cclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",","-        node.Hostname, req.Cluster, err)","-    }","+  if err := repo.BatchUpdateNodeStates(updates); err != nil {","+    cclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)","   }"," ","   cclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"9006a851-8e89-47d0-8cc0-6a71f7579d4c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d3f9fff6-c5c7-4b6a-9ccf-be1ce553c3d1","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01XW1TDmuGSvp8mtAm3TgEbp","type":"message","role":"assistant","content":[{"type":"text","text":"Now update the REST handler to also batch the DB part:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":807,"cache_read_input_tokens":70459,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":807},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6aiHcgkCnEMhSsh7iXd","type":"assistant","uuid":"4a840c99-f10e-4a2a-88a9-26722953097a","timestamp":"2026-03-16T10:13:46.319Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"4a840c99-f10e-4a2a-88a9-26722953097a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01XW1TDmuGSvp8mtAm3TgEbp","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KWgT3DMBg4wm69ijcQDpSf","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go","old_string":"\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     healthState,\n\t\t\tHealthMetrics:   healthMetrics,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))","new_string":"\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     healthState,\n\t\t\tHealthMetrics:   healthMetrics,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":807,"cache_read_input_tokens":70459,"output_tokens":912,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":807,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6aiHcgkCnEMhSsh7iXd","type":"assistant","uuid":"a9780779-40bc-4130-84ef-769ec8d703e9","timestamp":"2026-03-16T10:13:53.745Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"fmt\"\n\t\"maps\"\n\t\"net/http\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\ntype UpdateNodeStatesRequest struct {\n\tNodes   []schema.NodePayload `json:\"nodes\"`\n\tCluster string               `json:\"cluster\" example:\"fritz\"`\n}\n\n// metricListToNames converts a map of metric configurations to a list of metric names\nfunc metricListToNames(metricList map[string]*schema.Metric) []string {\n\tnames := make([]string, 0, len(metricList))\n\tfor name := range metricList {\n\t\tnames = append(names, name)\n\t}\n\treturn names\n}\n\n// this routine assumes that only one of them exists per node\nfunc determineState(states []string) schema.SchedulerState {\n\tfor _, state := range states {\n\t\tswitch strings.ToLower(state) {\n\t\tcase \"allocated\":\n\t\t\treturn schema.NodeStateAllocated\n\t\tcase \"reserved\":\n\t\t\treturn schema.NodeStateReserved\n\t\tcase \"idle\":\n\t\t\treturn schema.NodeStateIdle\n\t\tcase \"down\":\n\t\t\treturn schema.NodeStateDown\n\t\tcase \"mixed\":\n\t\t\treturn schema.NodeStateMixed\n\t\t}\n\t}\n\n\treturn schema.NodeStateUnknown\n}\n\n// updateNodeStates godoc\n// @summary     Deliver updated Slurm node states\n// @tags Nodestates\n// @description Returns a JSON-encoded list of users.\n// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n// @produce     json\n// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/nodestats/ [post]\nfunc (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n\t// Parse request body\n\treq := UpdateNodeStatesRequest{}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n\t\t\thttp.StatusBadRequest, rw)\n\t\treturn\n\t}\n\trequestReceived := time.Now().Unix()\n\trepo := repository.GetNodeRepository()\n\n\tm := make(map[string][]string)\n\tmetricNames := make(map[string][]string)\n\thealthResults := make(map[string]metricstore.HealthCheckResult)\n\n\tstartMs := time.Now()\n\n\t// Step 1: Build nodeList and metricList per subcluster\n\tfor _, node := range req.Nodes {\n\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n\t\t\tm[sc] = append(m[sc], node.Hostname)\n\t\t}\n\t}\n\n\tfor sc := range m {\n\t\tif sc != \"\" {\n\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n\t\t\tmetricNames[sc] = metricListToNames(metricList)\n\t\t}\n\t}\n\n\t// Step 2: Determine which metric store to query and perform health check\n\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n\tif err != nil {\n\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n\t} else {\n\t\tfor sc, nl := range m {\n\t\t\tif sc != \"\" {\n\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n\t\t\t\t\tmaps.Copy(healthResults, results)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     healthState,\n\t\t\tHealthMetrics:   healthMetrics,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n}\n","structuredPatch":[{"oldStart":116,"oldLines":6,"newStart":116,"newLines":7,"lines":["   cclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))","   startDB := time.Now()"," ","+  updates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))","   for _, node := range req.Nodes {","     state := determineState(node.States)","     healthState := schema.MonitoringStateFailed"]},{"oldStart":134,"oldLines":11,"newStart":135,"newLines":15,"lines":["       HealthMetrics:   healthMetrics,","       JobsRunning:     node.JobsRunning,","     }","+    updates = append(updates, repository.NodeStateUpdate{","+      Hostname:  node.Hostname,","+      Cluster:   req.Cluster,","+      NodeState: &nodeState,","+    })","+  }"," ","-    if err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {","-      cclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",","-        node.Hostname, req.Cluster, err)","-    }","+  if err := repo.BatchUpdateNodeStates(updates); err != nil {","+    cclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)","   }"," ","   cclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"a9780779-40bc-4130-84ef-769ec8d703e9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}","new_string":"func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Transfer cached jobs to main table and clear cache in a single transaction.\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer tx.Rollback()\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = tx.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. 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AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":955,"cache_read_input_tokens":71266,"output_tokens":1692,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":955,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6aj64SNo9N1xgzrnbah","type":"assistant","uuid":"5d65a99e-fbc1-45d5-9fce-5aa84524dc4d","timestamp":"2026-03-16T10:14:16.085Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}","newString":"func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Transfer cached jobs to main table and clear cache in a single transaction.\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer tx.Rollback()\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = tx.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"encoding/json\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst NamedJobCacheInsert string = `INSERT INTO job_cache (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n);`\n\nconst NamedJobInsert string = `INSERT INTO job (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n);`\n\n// InsertJobDirect inserts a job directly into the job table (not job_cache).\n// Use this when the returned ID will be used for operations on the job table\n// (e.g., adding tags), or for imported jobs that are already completed.\nfunc (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = r.DB.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}\n\n// TransferCachedJobToMain moves a job from job_cache to the job table.\n// Caller must hold r.Mutex. Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\treturn newID, nil\n}\n\n// Start inserts a new job in the table, returning the unique job ID.\n// Statistics are not transfered!\nfunc (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJob(job)\n}\n\n// StartDirect inserts a new job directly into the job table (not job_cache).\n// Use this when the returned ID will immediately be used for job table\n// operations such as adding tags.\nfunc (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJobDirect(job)\n}\n\n// Stop updates the job with the database id jobId using the provided arguments.\nfunc (r *JobRepository) Stop(\n\tjobID int64,\n\tduration int32,\n\tstate schema.JobState,\n\tmonitoringStatus int32,\n) (err error) {\n\t// Invalidate cache entries as job state is changing\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n\n\tstmt := sq.Update(\"job\").\n\t\tSet(\"job_state\", state).\n\t\tSet(\"duration\", duration).\n\t\tSet(\"monitoring_status\", monitoringStatus).\n\t\tWhere(\"job.id = ?\", jobID)\n\n\t_, err = stmt.RunWith(r.stmtCache).Exec()\n\treturn err\n}\n","structuredPatch":[{"oldStart":92,"oldLines":20,"newStart":92,"newLines":33,"lines":["     jobs = append(jobs, job)","   }"," ","+  // Transfer cached jobs to main table and clear cache in a single transaction.","+  tx, err := r.DB.Beginx()","+  if err != nil {","+    cclog.Errorf(\"SyncJobs: begin transaction: %v\", err)","+    return nil, err","+  }","+  defer tx.Rollback()","+","   // Use INSERT OR IGNORE to skip jobs already transferred by the stop path","-  _, err = r.DB.Exec(","+  _, err = tx.Exec(","     \"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")","   if err != nil {","     cclog.Errorf(\"Error while Job sync: %v\", err)","     return nil, err","   }"," ","-  _, err = r.DB.Exec(\"DELETE FROM job_cache\")","+  _, err = tx.Exec(\"DELETE FROM job_cache\")","   if err != nil {","     cclog.Errorf(\"Error while Job cache clean: %v\", err)","     return nil, err","   }"," ","+  if err := tx.Commit(); err != nil {","+    cclog.Errorf(\"SyncJobs: commit transaction: %v\", err)","+    return nil, err","+  }","+","   // Resolve correct job.id from the job table. The IDs read from job_cache","   // are from a different auto-increment sequence and must not be used to","   // query the job table."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"5d65a99e-fbc1-45d5-9fce-5aa84524dc4d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"3775dc48-712d-4527-831d-4b8ba6f366d9","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014HMVkUZgUEv2F5FVEvG9yC","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"ee24031c-69cc-4429-8b76-a49bdc1e244e","timestamp":"2026-03-16T10:14:25.663Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"type NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t}\n}","newString":"type NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n\t// when the database is under contention.\n\tjobSem chan struct{}\n\t// nodeSem limits concurrent NATS node state processing.\n\tnodeSem chan struct{}\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobSem:        make(chan struct{}, 8),\n\t\tnodeSem:       make(chan struct{}, 2),\n\t}\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":64,"oldLines":12,"newStart":64,"newLines":19,"lines":["   // RepositoryMutex protects job creation operations from race conditions","   // when checking for duplicate jobs during startJob calls.","   RepositoryMutex sync.Mutex","+  // jobSem limits concurrent NATS job event processing to prevent goroutine accumulation","+  // when the database is under contention.","+  jobSem chan struct{}","+  // nodeSem limits concurrent NATS node state processing.","+  nodeSem chan struct{}"," }"," "," // NewNatsAPI creates a new NatsAPI instance with default dependencies."," func NewNatsAPI() *NatsAPI {","   return &NatsAPI{","     JobRepository: repository.GetJobRepository(),","+    jobSem:        make(chan struct{}, 8),","+    nodeSem:       make(chan struct{}, 2),","   }"," }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"3775dc48-712d-4527-831d-4b8ba6f366d9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"ee24031c-69cc-4429-8b76-a49bdc1e244e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01BAi9cdLpY9ze3kti1EgJd8","type":"message","role":"assistant","content":[{"type":"text","text":"Now add semaphore acquire/release to `handleJobEvent` and `handleNodeState`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":618,"cache_read_input_tokens":73957,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":618},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6amSZHFncC3Jwm7TmpJ","type":"assistant","uuid":"493fc493-c27b-477d-a40e-229856dd3a25","timestamp":"2026-03-16T10:14:29.415Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"493fc493-c27b-477d-a40e-229856dd3a25","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01BAi9cdLpY9ze3kti1EgJd8","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01F343pD8uwJ3KXtR8moYRXc","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","old_string":"func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","new_string":"func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tapi.jobSem <- struct{}{}\n\tdefer func() { <-api.jobSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":618,"cache_read_input_tokens":73957,"output_tokens":330,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":618,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6amSZHFncC3Jwm7TmpJ","type":"assistant","uuid":"1ef8186a-a04a-482e-b9a5-3c346596f2fc","timestamp":"2026-03-16T10:14:31.960Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"1ef8186a-a04a-482e-b9a5-3c346596f2fc","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01F343pD8uwJ3KXtR8moYRXc","toolUseID":"toolu_01F343pD8uwJ3KXtR8moYRXc","timestamp":"2026-03-16T10:14:31.972Z","uuid":"0e01642d-c7a2-434b-86e8-aa9d2671dea5","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"1ef8186a-a04a-482e-b9a5-3c346596f2fc","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01F343pD8uwJ3KXtR8moYRXc","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"56d57da3-6e7b-40c4-8d7c-511fcb0411d5","timestamp":"2026-03-16T10:14:31.972Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","newString":"func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tapi.jobSem <- struct{}{}\n\tdefer func() { <-api.jobSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n\t// when the database is under contention.\n\tjobSem chan struct{}\n\t// nodeSem limits concurrent NATS node state processing.\n\tnodeSem chan struct{}\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobSem:        make(chan struct{}, 8),\n\t\tnodeSem:       make(chan struct{}, 2),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":144,"oldLines":6,"newStart":144,"newLines":9,"lines":[" //"," // Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000"," func (api *NatsAPI) handleJobEvent(subject string, data []byte) {","+  api.jobSem <- struct{}{}","+  defer func() { <-api.jobSem }()","+","   if len(data) == 0 {","     cclog.Warnf(\"NATS %s: received empty message\", subject)","     return"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"1ef8186a-a04a-482e-b9a5-3c346596f2fc","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"56d57da3-6e7b-40c4-8d7c-511fcb0411d5","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_018GDq8pzsSNa7nJereCUUuJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017JDESo1Lkjh5SWMU35gSHD","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","old_string":"func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","new_string":"func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tapi.nodeSem <- struct{}{}\n\tdefer func() { <-api.nodeSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":374,"cache_read_input_tokens":74575,"output_tokens":309,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":374,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6amuTHvcstiLQtphpTt","type":"assistant","uuid":"d7e94c87-1f2a-4e1b-9161-c8c4ea41292f","timestamp":"2026-03-16T10:14:36.687Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d7e94c87-1f2a-4e1b-9161-c8c4ea41292f","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_017JDESo1Lkjh5SWMU35gSHD","toolUseID":"toolu_017JDESo1Lkjh5SWMU35gSHD","timestamp":"2026-03-16T10:14:36.702Z","uuid":"f81a86b2-4d61-41bf-b4ea-3a85809dacee","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d7e94c87-1f2a-4e1b-9161-c8c4ea41292f","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017JDESo1Lkjh5SWMU35gSHD","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"a9a61ff3-ead3-48d1-807b-e2a14ab45568","timestamp":"2026-03-16T10:14:36.702Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","newString":"func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tapi.nodeSem <- struct{}{}\n\tdefer func() { <-api.nodeSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n\t// when the database is under contention.\n\tjobSem chan struct{}\n\t// nodeSem limits concurrent NATS node state processing.\n\tnodeSem chan struct{}\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobSem:        make(chan struct{}, 8),\n\t\tnodeSem:       make(chan struct{}, 2),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tapi.jobSem <- struct{}{}\n\tdefer func() { <-api.jobSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":387,"oldLines":6,"newStart":387,"newLines":9,"lines":[" //"," // Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000"," func (api *NatsAPI) handleNodeState(subject string, data []byte) {","+  api.nodeSem <- struct{}{}","+  defer func() { <-api.nodeSem }()","+","   if len(data) == 0 {","     cclog.Warnf(\"NATS %s: received empty message\", subject)","     return"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"d7e94c87-1f2a-4e1b-9161-c8c4ea41292f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"a9a61ff3-ead3-48d1-807b-e2a14ab45568","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01N5TaR6cLdSMWNQuMeYKmWB","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me verify the build compiles:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":353,"cache_read_input_tokens":74949,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":353},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6anFfDoyRxTbWofrkvV","type":"assistant","uuid":"6362acdd-a63c-4cc8-81f5-6b956b1dcd7b","timestamp":"2026-03-16T10:14:40.520Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"b4973f4a-3987-40a0-9784-97ab8f94be4c","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":"Are there other opportunities to reduce the insert pressure on the db using transactions or other techniques?"},"uuid":"77246124-c7ed-405a-87de-11b99d5c5171","timestamp":"2026-03-16T10:18:22.003Z","permissionMode":"plan","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"2c1eddf0-1f39-4852-85ff-a09935d22a02","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VcJqMaKr97nTjqZLiZRmCD","type":"tool_result","content":"     1→# Fix: SQLite Write Contention Causing OOM Crash\n     2→\n     3→## Context\n     4→\n     5→The server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.\n     6→\n     7→**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.\n     8→\n     9→The cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.\n    10→\n    11→---\n    12→\n    13→## Fix 1: Increase busy_timeout (contention relief)\n    14→\n    15→**File:** `internal/repository/dbConnection.go:73`\n    16→\n    17→Change `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:\n    18→\n    19→**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.\n    20→\n    21→**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.\n    22→\n    23→**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.\n    24→\n    25→With 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.\n    26→\n    27→---\n    28→\n    29→## Fix 2: Batch Node State Updates in a Transaction\n    30→\n    31→Currently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.\n    32→\n    33→**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:\n    34→- Accept a slice of `(hostname, cluster, nodeState)` tuples\n    35→- Begin transaction\n    36→- For each node: lookup ID (or insert node), then insert state — all within the same transaction\n    37→- Commit once\n    38→\n    39→**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.\n    40→\n    41→**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).\n    42→\n    43→Keep the existing `UpdateNodeState` method for single-node use cases.\n    44→\n    45→---\n    46→\n    47→## Fix 3: Fix LDAP Sync Race Condition\n    48→\n    49→The LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.\n    50→\n    51→**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:\n    52→```go\n    53→func (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n    54→    rolesJson, _ := json.Marshal(user.Roles)\n    55→    projectsJson, _ := json.Marshal(user.Projects)\n    56→    cols := \"username, name, roles, projects, ldap\"\n    57→    _, err := r.DB.Exec(\n    58→        `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,\n    59→        user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n    60→    return err\n    61→}\n    62→```\n    63→\n    64→**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.\n    65→\n    66→Note: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.\n    67→\n    68→---\n    69→\n    70→## Fix 4: Add Semaphore for NATS Handlers\n    71→\n    72→Without rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.\n    73→\n    74→**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:\n    75→```go\n    76→type NatsAPI struct {\n    77→    JobRepository   *repository.JobRepository\n    78→    RepositoryMutex sync.Mutex\n    79→    jobSem          chan struct{}\n    80→    nodeSem         chan struct{}\n    81→}\n    82→```\n    83→\n    84→Initialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.\n    85→\n    86→Add acquire/release in `handleJobEvent` and `handleNodeState`:\n    87→```go\n    88→api.jobSem <- struct{}{}\n    89→defer func() { <-api.jobSem }()\n    90→```\n    91→\n    92→This caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.\n    93→\n    94→---\n    95→\n    96→## Fix 5: Wrap SyncJobs in a Transaction\n    97→\n    98→**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)\n    99→\n   100→Currently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:\n   101→- `tx, err := r.DB.Beginx()`\n   102→- Run all three operations on `tx`\n   103→- `tx.Commit()`\n   104→- Do the read-only ID resolution outside the transaction\n   105→\n   106→This reduces lock acquisitions from 3 to 1 and ensures atomicity.\n   107→\n   108→---\n   109→\n   110→## Implementation Order\n   111→\n   112→1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact\n   113→2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change\n   114→3. **Fix 2** (batch node states) — biggest contention reduction\n   115→4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction\n   116→5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation\n   117→\n   118→---\n   119→\n   120→## Verification\n   121→\n   122→1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.\n   123→2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.\n   124→3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.\n   125→4. Run `go test ./internal/repository/... ./internal/api/... ./internal/auth/...` after all changes.\n   126→5. Load test: simulate burst of 100+ concurrent job start/stop events + node state update with 500 nodes + LDAP sync running simultaneously. Monitor goroutine count and memory.\n   127→"}]},"uuid":"9de761c4-cd6e-4978-bad3-2ad8ccf0e314","timestamp":"2026-03-16T10:18:27.587Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/.claude/plans/woolly-wandering-narwhal.md","content":"# Fix: SQLite Write Contention Causing OOM Crash\n\n## Context\n\nThe server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.\n\n**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.\n\nThe cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.\n\n---\n\n## Fix 1: Increase busy_timeout (contention relief)\n\n**File:** `internal/repository/dbConnection.go:73`\n\nChange `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:\n\n**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.\n\n**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.\n\n**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.\n\nWith 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.\n\n---\n\n## Fix 2: Batch Node State Updates in a Transaction\n\nCurrently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.\n\n**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:\n- Accept a slice of `(hostname, cluster, nodeState)` tuples\n- Begin transaction\n- For each node: lookup ID (or insert node), then insert state — all within the same transaction\n- Commit once\n\n**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.\n\n**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).\n\nKeep the existing `UpdateNodeState` method for single-node use cases.\n\n---\n\n## Fix 3: Fix LDAP Sync Race Condition\n\nThe LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.\n\n**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:\n```go\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n    rolesJson, _ := json.Marshal(user.Roles)\n    projectsJson, _ := json.Marshal(user.Projects)\n    cols := \"username, name, roles, projects, ldap\"\n    _, err := r.DB.Exec(\n        `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,\n        user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n    return err\n}\n```\n\n**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.\n\nNote: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.\n\n---\n\n## Fix 4: Add Semaphore for NATS Handlers\n\nWithout rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.\n\n**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:\n```go\ntype NatsAPI struct {\n    JobRepository   *repository.JobRepository\n    RepositoryMutex sync.Mutex\n    jobSem          chan struct{}\n    nodeSem         chan struct{}\n}\n```\n\nInitialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.\n\nAdd acquire/release in `handleJobEvent` and `handleNodeState`:\n```go\napi.jobSem <- struct{}{}\ndefer func() { <-api.jobSem }()\n```\n\nThis caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.\n\n---\n\n## Fix 5: Wrap SyncJobs in a Transaction\n\n**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)\n\nCurrently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:\n- `tx, err := r.DB.Beginx()`\n- Run all three operations on `tx`\n- `tx.Commit()`\n- Do the read-only ID resolution outside the transaction\n\nThis reduces lock acquisitions from 3 to 1 and ensures atomicity.\n\n---\n\n## Implementation Order\n\n1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact\n2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change\n3. **Fix 2** (batch node states) — biggest contention reduction\n4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction\n5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation\n\n---\n\n## Verification\n\n1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.\n2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.\n3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.\n4. 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+{"parentUuid":"35cd6ce4-24fd-481c-9744-2c16c7ee2083","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HkM6fykBdPWHAiCUXwWyyJ","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"encoding/json\"\n    10→\t\"fmt\"\n    11→\n    12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    14→\tsq \"github.com/Masterminds/squirrel\"\n    15→)\n    16→\n    17→const NamedJobCacheInsert string = `INSERT INTO job_cache (\n    18→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n    19→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n    20→) VALUES (\n    21→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n    22→  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n    23→);`\n    24→\n    25→const NamedJobInsert string = `INSERT INTO job (\n    26→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n    27→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n    28→) VALUES (\n    29→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n    30→  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n    31→);`\n    32→\n    33→// InsertJobDirect inserts a job directly into the job table (not job_cache).\n    34→// Use this when the returned ID will be used for operations on the job table\n    35→// (e.g., adding tags), or for imported jobs that are already completed.\n    36→func (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n    37→\tr.Mutex.Lock()\n    38→\tdefer r.Mutex.Unlock()\n    39→\n    40→\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n    41→\tif err != nil {\n    42→\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n    43→\t\treturn 0, err\n    44→\t}\n    45→\tid, err := res.LastInsertId()\n    46→\tif err != nil {\n    47→\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n    48→\t\treturn 0, err\n    49→\t}\n    50→\n    51→\treturn id, nil\n    52→}\n    53→\n    54→func (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n    55→\tr.Mutex.Lock()\n    56→\tdefer r.Mutex.Unlock()\n    57→\n    58→\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n    59→\tif err != nil {\n    60→\t\tcclog.Warn(\"Error while NamedJobInsert\")\n    61→\t\treturn 0, err\n    62→\t}\n    63→\tid, err := res.LastInsertId()\n    64→\tif err != nil {\n    65→\t\tcclog.Warn(\"Error while getting last insert ID\")\n    66→\t\treturn 0, err\n    67→\t}\n    68→\n    69→\treturn id, nil\n    70→}\n    71→\n    72→func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n    73→\tr.Mutex.Lock()\n    74→\tdefer r.Mutex.Unlock()\n    75→\n    76→\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n    77→\n    78→\trows, err := query.RunWith(r.stmtCache).Query()\n    79→\tif err != nil {\n    80→\t\tcclog.Errorf(\"Error while running query %v\", err)\n    81→\t\treturn nil, err\n    82→\t}\n    83→\tdefer rows.Close()\n    84→\n    85→\tjobs := make([]*schema.Job, 0, 50)\n    86→\tfor rows.Next() {\n    87→\t\tjob, err := scanJob(rows)\n    88→\t\tif err != nil {\n    89→\t\t\tcclog.Warn(\"Error while scanning rows\")\n    90→\t\t\treturn nil, err\n    91→\t\t}\n    92→\t\tjobs = append(jobs, job)\n    93→\t}\n    94→\n    95→\t// Transfer cached jobs to main table and clear cache in a single transaction.\n    96→\ttx, err := r.DB.Beginx()\n    97→\tif err != nil {\n    98→\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n    99→\t\treturn nil, err\n   100→\t}\n   101→\tdefer tx.Rollback()\n   102→\n   103→\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n   104→\t_, err = tx.Exec(\n   105→\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n   106→\tif err != nil {\n   107→\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n   108→\t\treturn nil, err\n   109→\t}\n   110→\n   111→\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n   112→\tif err != nil {\n   113→\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n   114→\t\treturn nil, err\n   115→\t}\n   116→\n   117→\tif err := tx.Commit(); err != nil {\n   118→\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n   119→\t\treturn nil, err\n   120→\t}\n   121→\n   122→\t// Resolve correct job.id from the job table. The IDs read from job_cache\n   123→\t// are from a different auto-increment sequence and must not be used to\n   124→\t// query the job table.\n   125→\tfor _, job := range jobs {\n   126→\t\tvar newID int64\n   127→\t\tif err := sq.Select(\"job.id\").From(\"job\").\n   128→\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n   129→\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n   130→\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n   131→\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n   132→\t\t\t\tjob.JobID, job.Cluster, err)\n   133→\t\t\tcontinue\n   134→\t\t}\n   135→\t\tjob.ID = &newID\n   136→\t}\n   137→\n   138→\treturn jobs, nil\n   139→}\n   140→\n   141→// TransferCachedJobToMain moves a job from job_cache to the job table.\n   142→// Caller must hold r.Mutex. Returns the new job table ID.\n   143→func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n   144→\tres, err := r.DB.Exec(\n   145→\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n   146→\t\tcacheID)\n   147→\tif err != nil {\n   148→\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n   149→\t}\n   150→\n   151→\tnewID, err := res.LastInsertId()\n   152→\tif err != nil {\n   153→\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n   154→\t}\n   155→\n   156→\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n   157→\tif err != nil {\n   158→\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n   159→\t}\n   160→\n   161→\treturn newID, nil\n   162→}\n   163→\n   164→// Start inserts a new job in the table, returning the unique job ID.\n   165→// Statistics are not transfered!\n   166→func (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n   167→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   168→\tif err != nil {\n   169→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n   170→\t}\n   171→\n   172→\tjob.RawResources, err = json.Marshal(job.Resources)\n   173→\tif err != nil {\n   174→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n   175→\t}\n   176→\n   177→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n   178→\tif err != nil {\n   179→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n   180→\t}\n   181→\n   182→\treturn r.InsertJob(job)\n   183→}\n   184→\n   185→// StartDirect inserts a new job directly into the job table (not job_cache).\n   186→// Use this when the returned ID will immediately be used for job table\n   187→// operations such as adding tags.\n   188→func (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n   189→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   190→\tif err != nil {\n   191→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n   192→\t}\n   193→\n   194→\tjob.RawResources, err = json.Marshal(job.Resources)\n   195→\tif err != nil {\n   196→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n   197→\t}\n   198→\n   199→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n   200→\tif err != nil {\n   201→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n   202→\t}\n   203→\n   204→\treturn r.InsertJobDirect(job)\n   205→}\n   206→\n   207→// Stop updates the job with the database id jobId using the provided arguments.\n   208→func (r *JobRepository) Stop(\n   209→\tjobID int64,\n   210→\tduration int32,\n   211→\tstate schema.JobState,\n   212→\tmonitoringStatus int32,\n   213→) (err error) {\n   214→\t// Invalidate cache entries as job state is changing\n   215→\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n   216→\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n   217→\n   218→\tstmt := sq.Update(\"job\").\n   219→\t\tSet(\"job_state\", state).\n   220→\t\tSet(\"duration\", duration).\n   221→\t\tSet(\"monitoring_status\", monitoringStatus).\n   222→\t\tWhere(\"job.id = ?\", jobID)\n   223→\n   224→\t_, err = stmt.RunWith(r.stmtCache).Exec()\n   225→\treturn err\n   226→}\n   227→"}]},"uuid":"5d8ee9d6-b030-4c74-833d-49b9a7ebd9c3","timestamp":"2026-03-16T10:18:43.890Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"38b7eecb-8634-4eb0-a187-2d048452460b","timestamp":"2026-03-16T10:18:43.890Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"38b7eecb-8634-4eb0-a187-2d048452460b","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EKYTiA5S5dj987gevScvTS","type":"tool_result","content":"<persisted-output>\nOutput too large (49.5KB). Full output saved to: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/3a41c7a4-abf8-484b-96ae-ee5618eea5ba/tool-results/toolu_01EKYTiA5S5dj987gevScvTS.txt\n\nPreview (first 2KB):\n     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package repository provides the data access layer for cc-backend using the repository pattern.\n     7→//\n     8→// The repository pattern abstracts database operations and provides a clean interface for\n     9→// data access. Each major entity (Job, User, Node, Tag) has its own repository with CRUD\n    10→// operations and specialized queries.\n    11→//\n    12→// # Database Connection\n    13→//\n    14→// Initialize the database connection before using any repository:\n    15→//\n    16→//\trepository.Connect(\"sqlite3\", \"./var/job.db\")\n    17→//\n    18→// # Configuration\n    19→//\n    20→// Optional: Configure repository settings before initialization:\n    21→//\n    22→//\trepository.SetConfig(&repository.RepositoryConfig{\n    23→//\t    CacheSize: 2 * 1024 * 1024,     // 2MB cache\n    24→//\t    MaxOpenConnections: 8,           // Connection pool size\n    25→//\t    MinRunningJobDuration: 300,      // Filter threshold\n    26→//\t})\n    27→//\n    28→// If not configured, sensible defaults are used automatically.\n    29→//\n    30→// # Repositories\n    31→//\n    32→//   - JobRepository: Job lifecycle management and querying\n    33→//   - UserRepository: User management and authentication\n    34→//   - NodeRepository: Cluster node state tracking\n    35→//   - Tags: Job tagging and categorization\n    36→//\n    37→// # Caching\n    38→//\n    39→// Repositories use LRU caching to improve performance. Cache keys are constructed\n    40→// as \"type:id\" (e.g., \"metadata:123\"). Cache is automatically invalidated on\n    41→// mutations to maintain consistency.\n    42→//\n    43→// # Transaction Support\n    44→//\n    45→// For batch operations, use transactions:\n    46→//\n    47→//\tt, err := jobRepo.TransactionInit()\n...\n</persisted-output>"}]},"uuid":"2d340f9e-3460-4d05-a652-9b2aa3482e6a","timestamp":"2026-03-16T10:18:44.008Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"73dc0e40-cc6c-499a-a987-9e066c064607","timestamp":"2026-03-16T10:18:44.083Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"73dc0e40-cc6c-499a-a987-9e066c064607","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:44.098Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01CGzHX4WVBQLFwrxRcpSCfL","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01D4EbLUUdwazYptjDjNVKDR","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":5652,"cache_read_input_tokens":13439,"cache_creation":{"ephemeral_5m_input_tokens":5652,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6LQyLqEj2BXvkCr4W","uuid":"08205c4a-738a-47a7-bf53-d42e8e04d164"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"0f4fe58e-47c2-4e9a-bf48-c169cc66b6bb","timestamp":"2026-03-16T10:18:44.098Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"0f4fe58e-47c2-4e9a-bf48-c169cc66b6bb","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01D4EbLUUdwazYptjDjNVKDR","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package repository\n     6→\n     7→import (\n     8→\t\"context\"\n     9→\t\"database/sql\"\n    10→\t\"encoding/json\"\n    11→\t\"errors\"\n    12→\t\"fmt\"\n    13→\t\"reflect\"\n    14→\t\"strings\"\n    15→\t\"sync\"\n    16→\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→\tsq \"github.com/Masterminds/squirrel\"\n    22→\t\"github.com/jmoiron/sqlx\"\n    23→\t\"golang.org/x/crypto/bcrypt\"\n    24→)\n    25→\n    26→// Authentication and Role System:\n    27→//\n    28→// ClusterCockpit supports multiple authentication sources:\n    29→//   - Local: Username/password stored in database (password hashed with bcrypt)\n    30→//   - LDAP: External LDAP/Active Directory authentication\n    31→//   - JWT: Token-based authentication for API access\n    32→//\n    33→// Role Hierarchy (from highest to lowest privilege):\n    34→//   1. \"admin\" - Full system access, can manage all users and jobs\n    35→//   2. \"support\" - Can view all jobs but limited management capabilities\n    36→//   3. \"manager\" - Can manage specific projects and their users\n    37→//   4. \"api\" - Programmatic access for job submission/management\n    38→//   5. \"user\" - Default role, can only view own jobs\n    39→//\n    40→// Project Association:\n    41→//   - Managers have a list of projects they oversee\n    42→//   - Regular users' project membership is determined by job data\n    43→//   - Managers can view/manage all jobs within their projects\n    44→\n    45→var (\n    46→\tuserRepoOnce     sync.Once\n    47→\tuserRepoInstance *UserRepository\n    48→)\n    49→\n    50→type UserRepository struct {\n    51→\tDB     *sqlx.DB\n    52→\tdriver string\n    53→}\n    54→\n    55→func GetUserRepository() *UserRepository {\n    56→\tuserRepoOnce.Do(func() {\n    57→\t\tdb := GetConnection()\n    58→\n    59→\t\tuserRepoInstance = &UserRepository{\n    60→\t\t\tDB:     db.DB,\n    61→\t\t\tdriver: db.Driver,\n    62→\t\t}\n    63→\t})\n    64→\treturn userRepoInstance\n    65→}\n    66→\n    67→// GetUser retrieves a user by username from the database.\n    68→// Returns the complete user record including hashed password, roles, and projects.\n    69→// Password field contains bcrypt hash for local auth users, empty for LDAP users.\n    70→func (r *UserRepository) GetUser(username string) (*schema.User, error) {\n    71→\tuser := &schema.User{Username: username}\n    72→\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n    73→\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n    74→\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n    75→\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n    76→\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n    77→\t\treturn nil, err\n    78→\t}\n    79→\n    80→\tuser.Password = hashedPassword.String\n    81→\tuser.Name = name.String\n    82→\tuser.Email = email.String\n    83→\tif rawRoles.Valid {\n    84→\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n    85→\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n    86→\t\t\treturn nil, err\n    87→\t\t}\n    88→\t}\n    89→\tif rawProjects.Valid {\n    90→\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n    91→\t\t\treturn nil, err\n    92→\t\t}\n    93→\t}\n    94→\n    95→\treturn user, nil\n    96→}\n    97→\n    98→func (r *UserRepository) GetLdapUsernames() ([]string, error) {\n    99→\tvar users []string\n   100→\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n   101→\tif err != nil {\n   102→\t\tcclog.Warn(\"Error while querying usernames\")\n   103→\t\treturn nil, err\n   104→\t}\n   105→\tdefer rows.Close()\n   106→\n   107→\tfor rows.Next() {\n   108→\t\tvar username string\n   109→\t\tif err := rows.Scan(&username); err != nil {\n   110→\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n   111→\t\t\treturn nil, err\n   112→\t\t}\n   113→\n   114→\t\tusers = append(users, username)\n   115→\t}\n   116→\n   117→\treturn users, nil\n   118→}\n   119→\n   120→// AddUser creates a new user in the database.\n   121→// Passwords are automatically hashed with bcrypt before storage.\n   122→// Auth source determines authentication method (local, LDAP, etc.).\n   123→//\n   124→// Required fields: Username, Roles\n   125→// Optional fields: Name, Email, Password, Projects, AuthSource\n   126→func (r *UserRepository) AddUser(user *schema.User) error {\n   127→\trolesJson, _ := json.Marshal(user.Roles)\n   128→\tprojectsJson, _ := json.Marshal(user.Projects)\n   129→\n   130→\tcols := []string{\"username\", \"roles\", \"projects\"}\n   131→\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n   132→\n   133→\tif user.Name != \"\" {\n   134→\t\tcols = append(cols, \"name\")\n   135→\t\tvals = append(vals, user.Name)\n   136→\t}\n   137→\tif user.Email != \"\" {\n   138→\t\tcols = append(cols, \"email\")\n   139→\t\tvals = append(vals, user.Email)\n   140→\t}\n   141→\tif user.Password != \"\" {\n   142→\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n   143→\t\tif err != nil {\n   144→\t\t\tcclog.Error(\"Error while encrypting new user password\")\n   145→\t\t\treturn err\n   146→\t\t}\n   147→\t\tcols = append(cols, \"password\")\n   148→\t\tvals = append(vals, string(password))\n   149→\t}\n   150→\tif user.AuthSource != -1 {\n   151→\t\tcols = append(cols, \"ldap\")\n   152→\t\tvals = append(vals, int(user.AuthSource))\n   153→\t}\n   154→\n   155→\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n   156→\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n   157→\t\treturn err\n   158→\t}\n   159→\n   160→\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n   161→\n   162→\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n   163→\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n   164→\tif err != nil {\n   165→\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n   166→\t} else if defaultMetricsCfg != nil {\n   167→\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n   168→\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n   169→\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n   170→\t\t\tif err != nil {\n   171→\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n   172→\t\t\t\tcontinue\n   173→\t\t\t}\n   174→\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n   175→\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n   176→\t\t\tif _, err := sq.Insert(\"configuration\").\n   177→\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n   178→\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n   179→\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n   180→\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n   181→\t\t\t} else {\n   182→\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n   183→\t\t\t}\n   184→\t\t}\n   185→\t}\n   186→\t// END DEPRECATION\n   187→\n   188→\treturn nil\n   189→}\n   190→\n   191→// AddUserIfNotExists inserts a user only if the username does not already exist.\n   192→// Uses INSERT OR IGNORE to avoid UNIQUE constraint errors when a user is\n   193→// concurrently created (e.g., by a login while LDAP sync is running).\n   194→// Unlike AddUser, this intentionally skips the deprecated default metrics config insertion.\n   195→func (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n   196→\trolesJson, _ := json.Marshal(user.Roles)\n   197→\tprojectsJson, _ := json.Marshal(user.Projects)\n   198→\n   199→\tcols := \"username, name, roles, projects, ldap\"\n   200→\t_, err := r.DB.Exec(\n   201→\t\t`INSERT OR IGNORE INTO hpc_user (`+cols+`) VALUES (?, ?, ?, ?, ?)`,\n   202→\t\tuser.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n   203→\treturn err\n   204→}\n   205→\n   206→func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n   207→\t// user contains updated info -> Apply to dbUser\n   208→\t// --- Simple Name Update ---\n   209→\tif dbUser.Name != user.Name {\n   210→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n   211→\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n   212→\t\t\treturn err\n   213→\t\t}\n   214→\t}\n   215→\n   216→\t// --- Def Helpers ---\n   217→\t// Helper to update roles\n   218→\tupdateRoles := func(roles []string) error {\n   219→\t\trolesJSON, _ := json.Marshal(roles)\n   220→\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n   221→\t\treturn err\n   222→\t}\n   223→\n   224→\t// Helper to update projects\n   225→\tupdateProjects := func(projects []string) error {\n   226→\t\tprojectsJSON, _ := json.Marshal(projects)\n   227→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n   228→\t\treturn err\n   229→\t}\n   230→\n   231→\t// Helper to clear projects\n   232→\tclearProjects := func() error {\n   233→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n   234→\t\treturn err\n   235→\t}\n   236→\n   237→\t// --- Manager Role Handling ---\n   238→\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n   239→\t\t// Existing Manager: update projects\n   240→\t\tif err := updateProjects(user.Projects); err != nil {\n   241→\t\t\treturn err\n   242→\t\t}\n   243→\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n   244→\t\t// New Manager: update roles and projects\n   245→\t\tif err := updateRoles(user.Roles); err != nil {\n   246→\t\t\treturn err\n   247→\t\t}\n   248→\t\tif err := updateProjects(user.Projects); err != nil {\n   249→\t\t\treturn err\n   250→\t\t}\n   251→\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n   252→\t\t// Remove Manager: update roles and clear projects\n   253→\t\tif err := updateRoles(user.Roles); err != nil {\n   254→\t\t\treturn err\n   255→\t\t}\n   256→\t\tif err := clearProjects(); err != nil {\n   257→\t\t\treturn err\n   258→\t\t}\n   259→\t}\n   260→\n   261→\t// --- Support Role Handling ---\n   262→\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n   263→\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n   264→\t\t// New Support: update roles\n   265→\t\tif err := updateRoles(user.Roles); err != nil {\n   266→\t\t\treturn err\n   267→\t\t}\n   268→\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n   269→\t\t// Remove Support: update roles\n   270→\t\tif err := updateRoles(user.Roles); err != nil {\n   271→\t\t\treturn err\n   272→\t\t}\n   273→\t}\n   274→\n   275→\treturn nil\n   276→}\n   277→\n   278→func (r *UserRepository) DelUser(username string) error {\n   279→\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n   280→\tif err != nil {\n   281→\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n   282→\t\treturn err\n   283→\t}\n   284→\tcclog.Infof(\"deleted user '%s' from DB\", username)\n   285→\treturn nil\n   286→}\n   287→\n   288→func (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n   289→\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n   290→\tif specialsOnly {\n   291→\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n   292→\t}\n   293→\n   294→\trows, err := q.RunWith(r.DB).Query()\n   295→\tif err != nil {\n   296→\t\tcclog.Warn(\"Error while querying user list\")\n   297→\t\treturn nil, err\n   298→\t}\n   299→\n   300→\tusers := make([]*schema.User, 0)\n   301→\tdefer rows.Close()\n   302→\tfor rows.Next() {\n   303→\t\trawroles := \"\"\n   304→\t\trawprojects := \"\"\n   305→\t\tuser := &schema.User{}\n   306→\t\tvar name, email sql.NullString\n   307→\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n   308→\t\t\tcclog.Warn(\"Error while scanning user list\")\n   309→\t\t\treturn nil, err\n   310→\t\t}\n   311→\n   312→\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n   313→\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n   314→\t\t\treturn nil, err\n   315→\t\t}\n   316→\n   317→\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n   318→\t\t\treturn nil, err\n   319→\t\t}\n   320→\n   321→\t\tuser.Name = name.String\n   322→\t\tuser.Email = email.String\n   323→\t\tusers = append(users, user)\n   324→\t}\n   325→\treturn users, nil\n   326→}\n   327→\n   328→// AddRole adds a role to a user's role list.\n   329→// Role string is automatically lowercased.\n   330→// Valid roles: admin, support, manager, api, user\n   331→//\n   332→// Returns error if:\n   333→//   - User doesn't exist\n   334→//   - Role is invalid\n   335→//   - User already has the role\n   336→func (r *UserRepository) AddRole(\n   337→\tctx context.Context,\n   338→\tusername string,\n   339→\tqueryrole string,\n   340→) error {\n   341→\tnewRole := strings.ToLower(queryrole)\n   342→\tuser, err := r.GetUser(username)\n   343→\tif err != nil {\n   344→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n   345→\t\treturn err\n   346→\t}\n   347→\n   348→\texists, valid := user.HasValidRole(newRole)\n   349→\n   350→\tif !valid {\n   351→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n   352→\t}\n   353→\tif exists {\n   354→\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n   355→\t}\n   356→\n   357→\troles, _ := json.Marshal(append(user.Roles, newRole))\n   358→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n   359→\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n   360→\t\treturn err\n   361→\t}\n   362→\treturn nil\n   363→}\n   364→\n   365→// RemoveRole removes a role from a user's role list.\n   366→//\n   367→// Special rules:\n   368→//   - Cannot remove \"manager\" role while user has assigned projects\n   369→//   - Must remove all projects first before removing manager role\n   370→func (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n   371→\toldRole := strings.ToLower(queryrole)\n   372→\tuser, err := r.GetUser(username)\n   373→\tif err != nil {\n   374→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n   375→\t\treturn err\n   376→\t}\n   377→\n   378→\texists, valid := user.HasValidRole(oldRole)\n   379→\n   380→\tif !valid {\n   381→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n   382→\t}\n   383→\tif !exists {\n   384→\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n   385→\t}\n   386→\n   387→\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n   388→\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n   389→\t}\n   390→\n   391→\tvar newroles []string\n   392→\tfor _, r := range user.Roles {\n   393→\t\tif r != oldRole {\n   394→\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n   395→\t\t}\n   396→\t}\n   397→\n   398→\tmroles, _ := json.Marshal(newroles)\n   399→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n   400→\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n   401→\t\treturn err\n   402→\t}\n   403→\treturn nil\n   404→}\n   405→\n   406→// AddProject assigns a project to a manager user.\n   407→// Only users with the \"manager\" role can have assigned projects.\n   408→//\n   409→// Returns error if:\n   410→//   - User doesn't have manager role\n   411→//   - User already manages the project\n   412→func (r *UserRepository) AddProject(\n   413→\tctx context.Context,\n   414→\tusername string,\n   415→\tproject string,\n   416→) error {\n   417→\tuser, err := r.GetUser(username)\n   418→\tif err != nil {\n   419→\t\treturn err\n   420→\t}\n   421→\n   422→\tif !user.HasRole(schema.RoleManager) {\n   423→\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n   424→\t}\n   425→\n   426→\tif user.HasProject(project) {\n   427→\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n   428→\t}\n   429→\n   430→\tprojects, _ := json.Marshal(append(user.Projects, project))\n   431→\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n   432→\t\treturn err\n   433→\t}\n   434→\n   435→\treturn nil\n   436→}\n   437→\n   438→func (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n   439→\tuser, err := r.GetUser(username)\n   440→\tif err != nil {\n   441→\t\treturn err\n   442→\t}\n   443→\n   444→\tif !user.HasRole(schema.RoleManager) {\n   445→\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n   446→\t}\n   447→\n   448→\tif !user.HasProject(project) {\n   449→\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n   450→\t}\n   451→\n   452→\tvar exists bool\n   453→\tvar newprojects []string\n   454→\tfor _, p := range user.Projects {\n   455→\t\tif p != project {\n   456→\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n   457→\t\t} else {\n   458→\t\t\texists = true\n   459→\t\t}\n   460→\t}\n   461→\n   462→\tif exists {\n   463→\t\tvar result any\n   464→\t\tif len(newprojects) == 0 {\n   465→\t\t\tresult = \"[]\"\n   466→\t\t} else {\n   467→\t\t\tresult, _ = json.Marshal(newprojects)\n   468→\t\t}\n   469→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n   470→\t\t\treturn err\n   471→\t\t}\n   472→\t\treturn nil\n   473→\t} else {\n   474→\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n   475→\t}\n   476→}\n   477→\n   478→type ContextKey string\n   479→\n   480→const ContextUserKey ContextKey = \"user\"\n   481→\n   482→func GetUserFromContext(ctx context.Context) *schema.User {\n   483→\tx := ctx.Value(ContextUserKey)\n   484→\tif x == nil {\n   485→\t\tcclog.Warnf(\"no user retrieved from context\")\n   486→\t\treturn nil\n   487→\t}\n   488→\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n   489→\treturn x.(*schema.User)\n   490→}\n   491→\n   492→func (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n   493→\tme := GetUserFromContext(ctx)\n   494→\tif me != nil && me.Username != username &&\n   495→\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n   496→\t\treturn nil, errors.New(\"forbidden\")\n   497→\t}\n   498→\n   499→\tuser := &model.User{Username: username}\n   500→\tvar name, email sql.NullString\n   501→\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n   502→\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n   503→\t\tif err == sql.ErrNoRows {\n   504→\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n   505→\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n   506→\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n   507→\t\t\treturn nil, nil\n   508→\t\t}\n   509→\n   510→\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n   511→\t\treturn nil, err\n   512→\t}\n   513→\n   514→\tuser.Name = name.String\n   515→\tuser.Email = email.String\n   516→\treturn user, nil\n   517→}\n   518→"}]},"uuid":"acc33023-5fb3-4a2e-bc0a-09f9a5175147","timestamp":"2026-03-16T10:18:44.100Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"cf0bd62a-75bb-4783-80e7-f26ff298ad36","timestamp":"2026-03-16T10:18:44.100Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"d570e5c0-22d1-45a6-a985-b96261b56ea9","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HdDYxxDmAcUknFk1iAMFhS","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package repository provides data access and persistence layer for ClusterCockpit.\n     7→//\n     8→// This file implements tag management functionality for job categorization and classification.\n     9→// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n    10→// (via tagger plugins). The implementation includes role-based access control through\n    11→// tag scopes and maintains bidirectional consistency between the SQL database and\n    12→// the file-based job archive.\n    13→//\n    14→// Database Schema:\n    15→//\n    16→//\tCREATE TABLE tag (\n    17→//\t    id INTEGER PRIMARY KEY AUTOINCREMENT,\n    18→//\t    tag_type VARCHAR(255) NOT NULL,\n    19→//\t    tag_name VARCHAR(255) NOT NULL,\n    20→//\t    tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n    21→//\t    CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n    22→//\t);\n    23→//\n    24→//\tCREATE TABLE jobtag (\n    25→//\t    job_id INTEGER,\n    26→//\t    tag_id INTEGER,\n    27→//\t    PRIMARY KEY (job_id, tag_id),\n    28→//\t    FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n    29→//\t    FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n    30→//\t);\n    31→//\n    32→// The jobtag junction table enables many-to-many relationships between jobs and tags.\n    33→// CASCADE deletion ensures referential integrity when jobs or tags are removed.\n    34→package repository\n    35→\n    36→import (\n    37→\t\"errors\"\n    38→\t\"fmt\"\n    39→\t\"strings\"\n    40→\n    41→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    42→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    43→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    44→\tsq \"github.com/Masterminds/squirrel\"\n    45→)\n    46→\n    47→// Tag Scope Rules:\n    48→//\n    49→// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n    50→//\n    51→//  1. \"global\" - Visible to all users, can be used by anyone\n    52→//     Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n    53→//\n    54→//  2. \"private\" - Only visible to the creating user\n    55→//     Example: Personal notes like \"needs-review\", \"interesting-case\"\n    56→//\n    57→//  3. \"admin\" - Only visible to users with admin or support roles\n    58→//     Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n    59→//\n    60→// Authorization Rules:\n    61→//   - Regular users can only create/see \"global\" and their own \"private\" tags\n    62→//   - Admin/Support can create/see all scopes including \"admin\" tags\n    63→//   - Users can only add tags to jobs they have permission to view\n    64→//   - Tag scope is enforced at query time in GetTags() and CountTags()\n    65→\n    66→// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n    67→// Requires user authentication for security checks.\n    68→//\n    69→// The user must have permission to view the job. Tag visibility is determined by scope:\n    70→//   - \"global\" tags: visible to all users\n    71→//   - \"private\" tags: only visible to the tag creator\n    72→//   - \"admin\" tags: only visible to admin/support users\n    73→func (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n    74→\tj, err := r.FindByIDWithUser(user, job)\n    75→\tif err != nil {\n    76→\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n    77→\t\treturn nil, err\n    78→\t}\n    79→\n    80→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n    81→\t\treturn r.GetTags(user, &job)\n    82→\t})\n    83→}\n    84→\n    85→// AddTagDirect adds a tag without user security checks.\n    86→// Use only for internal/admin operations.\n    87→func (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n    88→\tj, err := r.FindByIDDirect(job)\n    89→\tif err != nil {\n    90→\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n    91→\t\treturn nil, err\n    92→\t}\n    93→\n    94→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n    95→\t\treturn r.GetTagsDirect(&job)\n    96→\t})\n    97→}\n    98→\n    99→// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n   100→// Requires user authentication for security checks. Used by GraphQL API.\n   101→func (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n   102→\tj, err := r.FindByIDWithUser(user, job)\n   103→\tif err != nil {\n   104→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n   105→\t\treturn nil, err\n   106→\t}\n   107→\n   108→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n   109→\n   110→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   111→\t\ts, _, _ := q.ToSql()\n   112→\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n   113→\t\treturn nil, err\n   114→\t}\n   115→\n   116→\ttags, err := r.GetTags(user, &job)\n   117→\tif err != nil {\n   118→\t\tcclog.Warn(\"Error while getting tags for job\")\n   119→\t\treturn nil, err\n   120→\t}\n   121→\n   122→\tarchiveTags, err := r.getArchiveTags(&job)\n   123→\tif err != nil {\n   124→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n   125→\t\treturn nil, err\n   126→\t}\n   127→\n   128→\treturn tags, archive.UpdateTags(j, archiveTags)\n   129→}\n   130→\n   131→// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n   132→// Requires user authentication for security checks. Used by REST API.\n   133→func (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n   134→\t// Get Tag ID to delete\n   135→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   136→\tif !exists {\n   137→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   138→\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   139→\t}\n   140→\n   141→\t// Get Job\n   142→\tj, err := r.FindByIDWithUser(user, job)\n   143→\tif err != nil {\n   144→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n   145→\t\treturn nil, err\n   146→\t}\n   147→\n   148→\t// Handle Delete\n   149→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n   150→\n   151→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   152→\t\ts, _, _ := q.ToSql()\n   153→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n   154→\t\treturn nil, err\n   155→\t}\n   156→\n   157→\ttags, err := r.GetTags(user, &job)\n   158→\tif err != nil {\n   159→\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n   160→\t\treturn nil, err\n   161→\t}\n   162→\n   163→\tarchiveTags, err := r.getArchiveTags(&job)\n   164→\tif err != nil {\n   165→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n   166→\t\treturn nil, err\n   167→\t}\n   168→\n   169→\treturn tags, archive.UpdateTags(j, archiveTags)\n   170→}\n   171→\n   172→// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n   173→//\n   174→// This function is called asynchronously (via goroutine) after removing a tag from the database\n   175→// to synchronize the file-based job archive with the database state. Errors are logged but not\n   176→// returned since this runs in the background.\n   177→//\n   178→// Parameters:\n   179→//   - jobIds: Database IDs of all jobs that had the deleted tag\n   180→//\n   181→// Implementation note: Each job is processed individually to handle partial failures gracefully.\n   182→// If one job fails to update, others will still be processed.\n   183→func (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n   184→\tfor _, j := range jobIds {\n   185→\t\ttags, err := r.getArchiveTags(&j)\n   186→\t\tif err != nil {\n   187→\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n   188→\t\t\tcontinue\n   189→\t\t}\n   190→\n   191→\t\tjob, err := r.FindByIDDirect(j)\n   192→\t\tif err != nil {\n   193→\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n   194→\t\t\tcontinue\n   195→\t\t}\n   196→\n   197→\t\tarchive.UpdateTags(job, tags)\n   198→\t}\n   199→}\n   200→\n   201→// Removes a tag from db by tag info\n   202→// Used by REST API. Does not update tagged jobs in Job archive.\n   203→func (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n   204→\t// Get Tag ID to delete\n   205→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   206→\tif !exists {\n   207→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   208→\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   209→\t}\n   210→\n   211→\treturn r.RemoveTagByID(tagID)\n   212→}\n   213→\n   214→// Removes a tag from db by tag id\n   215→// Used by GraphQL API.\n   216→func (r *JobRepository) RemoveTagByID(tagID int64) error {\n   217→\tjobIds, err := r.FindJobIdsByTag(tagID)\n   218→\tif err != nil {\n   219→\t\treturn err\n   220→\t}\n   221→\n   222→\t// Handle Delete JobTagTable\n   223→\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n   224→\n   225→\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n   226→\t\ts, _, _ := qJobTag.ToSql()\n   227→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n   228→\t\treturn err\n   229→\t}\n   230→\n   231→\t// Handle Delete TagTable\n   232→\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n   233→\n   234→\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n   235→\t\ts, _, _ := qTag.ToSql()\n   236→\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n   237→\t\treturn err\n   238→\t}\n   239→\n   240→\t// asynchronously update archive jobs\n   241→\tgo r.removeTagFromArchiveJobs(jobIds)\n   242→\n   243→\treturn nil\n   244→}\n   245→\n   246→// CreateTag creates a new tag with the specified type, name, and scope.\n   247→// Returns the database ID of the newly created tag.\n   248→//\n   249→// Scope defaults to \"global\" if empty string is provided.\n   250→// Valid scopes: \"global\", \"private\", \"admin\"\n   251→//\n   252→// Example:\n   253→//\n   254→//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\n   255→func (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n   256→\t// Default to \"Global\" scope if none defined\n   257→\tif tagScope == \"\" {\n   258→\t\ttagScope = \"global\"\n   259→\t}\n   260→\n   261→\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n   262→\n   263→\tres, err := q.RunWith(r.stmtCache).Exec()\n   264→\tif err != nil {\n   265→\t\ts, _, _ := q.ToSql()\n   266→\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n   267→\t\treturn 0, err\n   268→\t}\n   269→\n   270→\treturn res.LastInsertId()\n   271→}\n   272→\n   273→// CountTags returns all tags visible to the user and the count of jobs for each tag.\n   274→// Applies scope-based filtering to respect tag visibility rules.\n   275→//\n   276→// Returns:\n   277→//   - tags: slice of tags the user can see\n   278→//   - counts: map of tag name to job count\n   279→//   - err: any error encountered\n   280→func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n   281→\ttags = make([]schema.Tag, 0, 100)\n   282→\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n   283→\tif err != nil {\n   284→\t\treturn nil, nil, err\n   285→\t}\n   286→\tdefer xrows.Close()\n   287→\n   288→\tfor xrows.Next() {\n   289→\t\tvar t schema.Tag\n   290→\t\tif err = xrows.StructScan(&t); err != nil {\n   291→\t\t\treturn nil, nil, err\n   292→\t\t}\n   293→\n   294→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n   295→\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n   296→\t\tif err != nil {\n   297→\t\t\treturn nil, nil, err\n   298→\t\t}\n   299→\t\tif readable {\n   300→\t\t\ttags = append(tags, t)\n   301→\t\t}\n   302→\t}\n   303→\n   304→\tif err := xrows.Err(); err != nil {\n   305→\t\treturn nil, nil, err\n   306→\t}\n   307→\n   308→\t// Query and Count Jobs with attached Tags\n   309→\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n   310→\t\tFrom(\"tag t\").\n   311→\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n   312→\t\tGroupBy(\"t.tag_type, t.tag_name\")\n   313→\n   314→\t// Build scope list for filtering\n   315→\tvar scopeBuilder strings.Builder\n   316→\tscopeBuilder.WriteString(`\"global\"`)\n   317→\tif user != nil {\n   318→\t\tscopeBuilder.WriteString(`,\"`)\n   319→\t\tscopeBuilder.WriteString(user.Username)\n   320→\t\tscopeBuilder.WriteString(`\"`)\n   321→\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n   322→\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n   323→\t\t}\n   324→\t}\n   325→\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n   326→\n   327→\t// Handle Job Ownership\n   328→\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n   329→\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n   330→\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n   331→\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n   332→\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n   333→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n   334→\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n   335→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n   336→\t}\n   337→\n   338→\trows, err := q.RunWith(r.stmtCache).Query()\n   339→\tif err != nil {\n   340→\t\treturn nil, nil, err\n   341→\t}\n   342→\tdefer rows.Close()\n   343→\n   344→\tcounts = make(map[string]int)\n   345→\tfor rows.Next() {\n   346→\t\tvar tagType string\n   347→\t\tvar tagName string\n   348→\t\tvar tagID int\n   349→\t\tvar count int\n   350→\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n   351→\t\t\treturn nil, nil, err\n   352→\t\t}\n   353→\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n   354→\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n   355→\t}\n   356→\terr = rows.Err()\n   357→\n   358→\treturn tags, counts, err\n   359→}\n   360→\n   361→var (\n   362→\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n   363→\tErrTagNotFound = errors.New(\"the tag does not exist\")\n   364→\n   365→\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n   366→\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n   367→\n   368→\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n   369→\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n   370→\n   371→\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n   372→\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n   373→\n   374→\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n   375→\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n   376→\n   377→\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n   378→\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n   379→)\n   380→\n   381→// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n   382→//\n   383→// This function performs three operations atomically:\n   384→//  1. Inserts the job-tag association into the jobtag junction table\n   385→//  2. Retrieves the updated tag list for the job (using the provided getTags callback)\n   386→//  3. Updates the job archive with the new tags to maintain database-archive consistency\n   387→//\n   388→// Parameters:\n   389→//   - jobId: Database ID of the job\n   390→//   - tagId: Database ID of the tag to associate\n   391→//   - job: Full job object needed for archive update\n   392→//   - getTags: Callback function to retrieve updated tags (allows different security contexts)\n   393→//\n   394→// Returns the complete updated tag list for the job or an error.\n   395→//\n   396→// Note: This function does NOT validate tag scope permissions - callers must perform\n   397→// authorization checks before invoking this helper.\n   398→func (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n   399→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n   400→\n   401→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   402→\t\ts, _, _ := q.ToSql()\n   403→\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n   404→\t\treturn nil, err\n   405→\t}\n   406→\n   407→\ttags, err := getTags()\n   408→\tif err != nil {\n   409→\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n   410→\t\treturn nil, err\n   411→\t}\n   412→\n   413→\tarchiveTags, err := r.getArchiveTags(&jobID)\n   414→\tif err != nil {\n   415→\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n   416→\t\treturn nil, err\n   417→\t}\n   418→\n   419→\treturn tags, archive.UpdateTags(job, archiveTags)\n   420→}\n   421→\n   422→// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n   423→// If such a tag does not yet exist, it is created.\n   424→func (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n   425→\t// Default to \"Global\" scope if none defined\n   426→\tif tagScope == \"\" {\n   427→\t\ttagScope = \"global\"\n   428→\t}\n   429→\n   430→\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n   431→\tif err != nil {\n   432→\t\treturn 0, err\n   433→\t}\n   434→\tif !writable {\n   435→\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n   436→\t}\n   437→\n   438→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   439→\tif !exists {\n   440→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n   441→\t\tif err != nil {\n   442→\t\t\treturn 0, err\n   443→\t\t}\n   444→\t}\n   445→\n   446→\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n   447→\t\treturn 0, err\n   448→\t}\n   449→\n   450→\treturn tagID, nil\n   451→}\n   452→\n   453→func (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n   454→\ttagScope := \"global\"\n   455→\n   456→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   457→\tif !exists {\n   458→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n   459→\t\tif err != nil {\n   460→\t\t\treturn 0, err\n   461→\t\t}\n   462→\t}\n   463→\n   464→\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n   465→\n   466→\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n   467→\t\treturn 0, err\n   468→\t}\n   469→\n   470→\treturn tagID, nil\n   471→}\n   472→\n   473→func (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n   474→\tvar id int64\n   475→\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n   476→\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n   477→\t\tWhere(\"tag.tag_name = ?\", tagName)\n   478→\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n   479→\tif err != nil {\n   480→\t\treturn false\n   481→\t} else {\n   482→\t\treturn true\n   483→\t}\n   484→}\n   485→\n   486→// TagID returns the database id of the tag with the specified type and name.\n   487→func (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n   488→\texists = true\n   489→\tif err := sq.Select(\"id\").From(\"tag\").\n   490→\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n   491→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n   492→\t\texists = false\n   493→\t}\n   494→\treturn\n   495→}\n   496→\n   497→// TagInfo returns the database infos of the tag with the specified id.\n   498→func (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n   499→\texists = true\n   500→\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n   501→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n   502→\t\texists = false\n   503→\t}\n   504→\treturn\n   505→}\n   506→\n   507→// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\n   508→func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n   509→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n   510→\tif job != nil {\n   511→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n   512→\t}\n   513→\n   514→\trows, err := q.RunWith(r.stmtCache).Query()\n   515→\tif err != nil {\n   516→\t\ts, _, _ := q.ToSql()\n   517→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n   518→\t\treturn nil, err\n   519→\t}\n   520→\tdefer rows.Close()\n   521→\n   522→\ttags := make([]*schema.Tag, 0)\n   523→\tfor rows.Next() {\n   524→\t\ttag := &schema.Tag{}\n   525→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n   526→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n   527→\t\t\treturn nil, err\n   528→\t\t}\n   529→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n   530→\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n   531→\t\tif err != nil {\n   532→\t\t\treturn nil, err\n   533→\t\t}\n   534→\t\tif readable {\n   535→\t\t\ttags = append(tags, tag)\n   536→\t\t}\n   537→\t}\n   538→\n   539→\tif err := rows.Err(); err != nil {\n   540→\t\treturn nil, err\n   541→\t}\n   542→\n   543→\treturn tags, nil\n   544→}\n   545→\n   546→func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n   547→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n   548→\tif job != nil {\n   549→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n   550→\t}\n   551→\n   552→\trows, err := q.RunWith(r.stmtCache).Query()\n   553→\tif err != nil {\n   554→\t\ts, _, _ := q.ToSql()\n   555→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n   556→\t\treturn nil, err\n   557→\t}\n   558→\tdefer rows.Close()\n   559→\n   560→\ttags := make([]*schema.Tag, 0)\n   561→\tfor rows.Next() {\n   562→\t\ttag := &schema.Tag{}\n   563→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n   564→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n   565→\t\t\treturn nil, err\n   566→\t\t}\n   567→\t\ttags = append(tags, tag)\n   568→\t}\n   569→\n   570→\tif err := rows.Err(); err != nil {\n   571→\t\treturn nil, err\n   572→\t}\n   573→\n   574→\treturn tags, nil\n   575→}\n   576→\n   577→// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n   578→//\n   579→// This internal function is used exclusively for job archive synchronization where we need\n   580→// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n   581→// filters by scope, this returns the complete unfiltered tag list.\n   582→//\n   583→// Parameters:\n   584→//   - job: Pointer to job database ID, or nil to return all tags in the system\n   585→//\n   586→// Returns all tags without scope filtering, used only for archive operations.\n   587→//\n   588→// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\n   589→func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n   590→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n   591→\tif job != nil {\n   592→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n   593→\t}\n   594→\n   595→\trows, err := q.RunWith(r.stmtCache).Query()\n   596→\tif err != nil {\n   597→\t\ts, _, _ := q.ToSql()\n   598→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n   599→\t\treturn nil, err\n   600→\t}\n   601→\tdefer rows.Close()\n   602→\n   603→\ttags := make([]*schema.Tag, 0)\n   604→\tfor rows.Next() {\n   605→\t\ttag := &schema.Tag{}\n   606→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n   607→\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n   608→\t\t\treturn nil, err\n   609→\t\t}\n   610→\t\ttags = append(tags, tag)\n   611→\t}\n   612→\n   613→\tif err := rows.Err(); err != nil {\n   614→\t\treturn nil, err\n   615→\t}\n   616→\n   617→\treturn tags, nil\n   618→}\n   619→\n   620→func (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n   621→\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n   622→\n   623→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   624→\tif !exists {\n   625→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n   626→\t\tif err != nil {\n   627→\t\t\treturn err\n   628→\t\t}\n   629→\t}\n   630→\n   631→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n   632→\n   633→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   634→\t\ts, _, _ := q.ToSql()\n   635→\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n   636→\t\treturn err\n   637→\t}\n   638→\n   639→\treturn nil\n   640→}\n   641→\n   642→// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n   643→//\n   644→// This function implements the tag scope authorization matrix:\n   645→//\n   646→//\tScope        | Read Access                      | Write Access\n   647→//\t-------------|----------------------------------|----------------------------------\n   648→//\t\"global\"     | All users                        | Admin, Support, API-only\n   649→//\t\"admin\"      | Admin, Support                   | Admin, API-only\n   650→//\t<username>   | Owner only                       | Owner only (private tags)\n   651→//\n   652→// Parameters:\n   653→//   - user: User attempting the operation (must not be nil)\n   654→//   - operation: Either \"read\" or \"write\"\n   655→//   - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n   656→//\n   657→// Returns:\n   658→//   - pass: true if authorized, false if denied\n   659→//   - err: error only if operation is invalid or user is nil\n   660→//\n   661→// Special cases:\n   662→//   - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n   663→//   - Private tags use the username as scope, granting exclusive access to that user\n   664→func (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n   665→\tif user != nil {\n   666→\t\tswitch {\n   667→\t\tcase operation == \"write\" && scope == \"admin\":\n   668→\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n   669→\t\t\t\treturn true, nil\n   670→\t\t\t}\n   671→\t\t\treturn false, nil\n   672→\t\tcase operation == \"write\" && scope == \"global\":\n   673→\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n   674→\t\t\t\treturn true, nil\n   675→\t\t\t}\n   676→\t\t\treturn false, nil\n   677→\t\tcase operation == \"write\" && scope == user.Username:\n   678→\t\t\treturn true, nil\n   679→\t\tcase operation == \"read\" && scope == \"admin\":\n   680→\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n   681→\t\tcase operation == \"read\" && scope == \"global\":\n   682→\t\t\treturn true, nil\n   683→\t\tcase operation == \"read\" && scope == user.Username:\n   684→\t\t\treturn true, nil\n   685→\t\tdefault:\n   686→\t\t\tif operation == \"read\" || operation == \"write\" {\n   687→\t\t\t\t// No acceptable scope: deny tag\n   688→\t\t\t\treturn false, nil\n   689→\t\t\t} else {\n   690→\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n   691→\t\t\t}\n   692→\t\t}\n   693→\t} else {\n   694→\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n   695→\t}\n   696→}\n   697→"}]},"uuid":"dce1da07-9465-4eba-87c1-bb17e6daa7b0","timestamp":"2026-03-16T10:18:44.263Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"71b5559a-4f3b-4888-87a3-f075dfb7104b","timestamp":"2026-03-16T10:18:44.281Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"71b5559a-4f3b-4888-87a3-f075dfb7104b","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"Explore the cc-backend codebase to find all periodic/scheduled tasks and background goroutines that write to the SQLite database. Look for:\n\n1. Goroutines started with `go func()` that do DB writes\n2. Ticker/timer-based loops that write to the DB\n3. Archiving operations that write to the DB\n4. Retention/cleanup operations\n5. Any cron-like scheduled operations\n\nSearch in:\n- cmd/cc-backend/ (main entry point, initialization)\n- internal/archiver/\n- internal/taskmanager/ or similar\n- internal/repository/\n- Any file with \"schedule\", \"ticker\", \"cron\", \"periodic\", \"retention\", \"cleanup\" patterns\n\nFor each, note the frequency, what DB operations it performs, and whether those operations are already batched/transacted.\n\nAlso look at the REST API file internal/api/rest.go to understand all registered routes and which ones do DB writes."}]},"uuid":"666d3bf2-3ccd-4a3d-9642-56e3e610c7c7","timestamp":"2026-03-16T10:18:44.103Z"},"type":"agent_progress","prompt":"Explore the cc-backend codebase to find all periodic/scheduled tasks and background goroutines that write to the SQLite database. Look for:\n\n1. Goroutines started with `go func()` that do DB writes\n2. Ticker/timer-based loops that write to the DB\n3. Archiving operations that write to the DB\n4. Retention/cleanup operations\n5. Any cron-like scheduled operations\n\nSearch in:\n- cmd/cc-backend/ (main entry point, initialization)\n- internal/archiver/\n- internal/taskmanager/ or similar\n- internal/repository/\n- Any file with \"schedule\", \"ticker\", \"cron\", \"periodic\", \"retention\", \"cleanup\" patterns\n\nFor each, note the frequency, what DB operations it performs, and whether those operations are already batched/transacted.\n\nAlso look at the REST API file internal/api/rest.go to understand all registered routes and which ones do DB writes.","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"3bb2055e-b1af-44b3-ac27-43a4a74de4ab","timestamp":"2026-03-16T10:18:44.103Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"66ee3e7a-1bf9-4195-8e01-4bfaca3bdd4c","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Kq2UVbVdsFHMVNU1tw4F54","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"database/sql\"\n    11→\t\"encoding/json\"\n    12→\t\"fmt\"\n    13→\t\"slices\"\n    14→\t\"sort\"\n    15→\t\"strings\"\n    16→\t\"sync\"\n    17→\t\"time\"\n    18→\n    19→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    20→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n    23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    24→\tsq \"github.com/Masterminds/squirrel\"\n    25→\t\"github.com/jmoiron/sqlx\"\n    26→)\n    27→\n    28→var (\n    29→\tnodeRepoOnce     sync.Once\n    30→\tnodeRepoInstance *NodeRepository\n    31→)\n    32→\n    33→type NodeRepository struct {\n    34→\tDB        *sqlx.DB\n    35→\tstmtCache *sq.StmtCache\n    36→\tcache     *lrucache.Cache\n    37→\tdriver    string\n    38→}\n    39→\n    40→func GetNodeRepository() *NodeRepository {\n    41→\tnodeRepoOnce.Do(func() {\n    42→\t\tdb := GetConnection()\n    43→\n    44→\t\tnodeRepoInstance = &NodeRepository{\n    45→\t\t\tDB:     db.DB,\n    46→\t\t\tdriver: db.Driver,\n    47→\n    48→\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n    49→\t\t\tcache:     lrucache.New(repoConfig.CacheSize),\n    50→\t\t}\n    51→\t})\n    52→\treturn nodeRepoInstance\n    53→}\n    54→\n    55→// latestStateCondition returns a squirrel expression that restricts node_state\n    56→// rows to the latest per node_id using a correlated subquery.\n    57→// Requires the query to join node and node_state tables.\n    58→func latestStateCondition() sq.Sqlizer {\n    59→\treturn sq.Expr(\n    60→\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n    61→\t)\n    62→}\n    63→\n    64→// applyNodeFilters applies common NodeFilter conditions to a query that joins\n    65→// the node and node_state tables with latestStateCondition.\n    66→func applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n    67→\tfor _, f := range filters {\n    68→\t\tif f.Cluster != nil {\n    69→\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n    70→\t\t}\n    71→\t\tif f.SubCluster != nil {\n    72→\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n    73→\t\t}\n    74→\t\tif f.Hostname != nil {\n    75→\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n    76→\t\t}\n    77→\t\tif f.SchedulerState != nil {\n    78→\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n    79→\t\t}\n    80→\t\tif f.HealthState != nil {\n    81→\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n    82→\t\t}\n    83→\t}\n    84→\treturn query\n    85→}\n    86→\n    87→func (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n    88→\tstart := time.Now()\n    89→\n    90→\tRawMetaData := make([]byte, 0)\n    91→\n    92→\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n    93→\t\tWhere(\"node.hostname = ?\", hostname).\n    94→\t\tWhere(\"node.cluster = ?\", cluster).\n    95→\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n    96→\t\tcclog.Warn(\"Error while scanning for node metadata\")\n    97→\t\treturn nil, err\n    98→\t}\n    99→\n   100→\tif len(RawMetaData) == 0 {\n   101→\t\treturn nil, nil\n   102→\t}\n   103→\n   104→\tMetaData := make(map[string]string)\n   105→\n   106→\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n   107→\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n   108→\t\treturn nil, err\n   109→\t}\n   110→\n   111→\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n   112→\treturn MetaData, nil\n   113→}\n   114→\n   115→func (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n   116→\tnode := &schema.Node{}\n   117→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   118→\t\t\"node_state.node_state\", \"node_state.health_state\").\n   119→\t\tFrom(\"node\").\n   120→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   121→\t\tWhere(latestStateCondition()).\n   122→\t\tWhere(\"node.hostname = ?\", hostname).\n   123→\t\tWhere(\"node.cluster = ?\", cluster).\n   124→\t\tRunWith(r.DB).\n   125→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n   126→\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n   127→\t\treturn nil, err\n   128→\t}\n   129→\n   130→\tif withMeta {\n   131→\t\tvar err error\n   132→\t\tvar meta map[string]string\n   133→\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n   134→\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n   135→\t\t\treturn nil, err\n   136→\t\t}\n   137→\t\tnode.MetaData = meta\n   138→\t}\n   139→\n   140→\treturn node, nil\n   141→}\n   142→\n   143→func (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n   144→\tnode := &schema.Node{}\n   145→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   146→\t\t\"node_state.node_state\", \"node_state.health_state\").\n   147→\t\tFrom(\"node\").\n   148→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   149→\t\tWhere(latestStateCondition()).\n   150→\t\tWhere(\"node.id = ?\", id).\n   151→\t\tRunWith(r.DB).\n   152→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n   153→\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n   154→\t\treturn nil, err\n   155→\t}\n   156→\n   157→\tif withMeta {\n   158→\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n   159→\t\tif metaErr != nil {\n   160→\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n   161→\t\t\treturn nil, metaErr\n   162→\t\t}\n   163→\t\tnode.MetaData = meta\n   164→\t}\n   165→\n   166→\treturn node, nil\n   167→}\n   168→\n   169→// const NamedNodeInsert string = `\n   170→// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n   171→//\n   172→//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n   173→//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n   174→//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n   175→\n   176→const NamedNodeInsert string = `\n   177→INSERT INTO node (hostname, cluster, subcluster)\n   178→\tVALUES (:hostname, :cluster, :subcluster);`\n   179→\n   180→// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n   181→// from a nodestate update from the job scheduler.\n   182→func (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n   183→\tvar err error\n   184→\n   185→\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n   186→\tif err != nil {\n   187→\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n   188→\t\treturn 0, err\n   189→\t}\n   190→\tnode.ID, err = res.LastInsertId()\n   191→\tif err != nil {\n   192→\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n   193→\t\treturn 0, err\n   194→\t}\n   195→\n   196→\treturn node.ID, nil\n   197→}\n   198→\n   199→const NamedNodeStateInsert string = `\n   200→INSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n   201→\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n   202→\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n   203→\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n   204→\n   205→// TODO: Add real Monitoring Health State\n   206→\n   207→// UpdateNodeState is called from the Node REST API to add a row in the node state table\n   208→func (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n   209→\tvar id int64\n   210→\n   211→\tif err := sq.Select(\"id\").From(\"node\").\n   212→\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n   213→\t\tQueryRow().Scan(&id); err != nil {\n   214→\t\tif err == sql.ErrNoRows {\n   215→\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n   216→\t\t\tif err != nil {\n   217→\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n   218→\t\t\t\treturn err\n   219→\t\t\t}\n   220→\t\t\tnode := schema.NodeDB{\n   221→\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n   222→\t\t\t}\n   223→\t\t\tid, err = r.AddNode(&node)\n   224→\t\t\tif err != nil {\n   225→\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n   226→\t\t\t\treturn err\n   227→\t\t\t}\n   228→\n   229→\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n   230→\t\t} else {\n   231→\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n   232→\t\t\treturn err\n   233→\t\t}\n   234→\t}\n   235→\n   236→\tnodeState.NodeID = id\n   237→\n   238→\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n   239→\tif err != nil {\n   240→\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n   241→\t\treturn err\n   242→\t}\n   243→\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n   244→\treturn nil\n   245→}\n   246→\n   247→// NodeStateUpdate holds the data needed to update one node's state in a batch operation.\n   248→type NodeStateUpdate struct {\n   249→\tHostname  string\n   250→\tCluster   string\n   251→\tNodeState *schema.NodeStateDB\n   252→}\n   253→\n   254→// BatchUpdateNodeStates inserts node state rows for multiple nodes in a single transaction.\n   255→// For each node, it looks up (or creates) the node row, then inserts the state row.\n   256→// This reduces lock acquisitions from 2*N to 1 for N nodes.\n   257→func (r *NodeRepository) BatchUpdateNodeStates(updates []NodeStateUpdate) error {\n   258→\ttx, err := r.DB.Beginx()\n   259→\tif err != nil {\n   260→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: begin transaction: %w\", err)\n   261→\t}\n   262→\tdefer tx.Rollback()\n   263→\n   264→\tstmtLookup, err := tx.Preparex(\"SELECT id FROM node WHERE hostname = ? AND cluster = ?\")\n   265→\tif err != nil {\n   266→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare lookup: %w\", err)\n   267→\t}\n   268→\tdefer stmtLookup.Close()\n   269→\n   270→\tstmtInsertNode, err := tx.PrepareNamed(NamedNodeInsert)\n   271→\tif err != nil {\n   272→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare node insert: %w\", err)\n   273→\t}\n   274→\tdefer stmtInsertNode.Close()\n   275→\n   276→\tstmtInsertState, err := tx.PrepareNamed(NamedNodeStateInsert)\n   277→\tif err != nil {\n   278→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare state insert: %w\", err)\n   279→\t}\n   280→\tdefer stmtInsertState.Close()\n   281→\n   282→\tfor _, u := range updates {\n   283→\t\tvar id int64\n   284→\t\tif err := stmtLookup.QueryRow(u.Hostname, u.Cluster).Scan(&id); err != nil {\n   285→\t\t\tif err == sql.ErrNoRows {\n   286→\t\t\t\tsubcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)\n   287→\t\t\t\tif scErr != nil {\n   288→\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: subcluster lookup for '%s' in '%s': %v\", u.Hostname, u.Cluster, scErr)\n   289→\t\t\t\t\tcontinue\n   290→\t\t\t\t}\n   291→\t\t\t\tnode := schema.NodeDB{\n   292→\t\t\t\t\tHostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,\n   293→\t\t\t\t}\n   294→\t\t\t\tres, insertErr := stmtInsertNode.Exec(&node)\n   295→\t\t\t\tif insertErr != nil {\n   296→\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)\n   297→\t\t\t\t\tcontinue\n   298→\t\t\t\t}\n   299→\t\t\t\tid, _ = res.LastInsertId()\n   300→\t\t\t} else {\n   301→\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: lookup node '%s': %v\", u.Hostname, err)\n   302→\t\t\t\tcontinue\n   303→\t\t\t}\n   304→\t\t}\n   305→\n   306→\t\tu.NodeState.NodeID = id\n   307→\t\tif _, err := stmtInsertState.Exec(u.NodeState); err != nil {\n   308→\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert state for '%s': %v\", u.Hostname, err)\n   309→\t\t}\n   310→\t}\n   311→\n   312→\tif err := tx.Commit(); err != nil {\n   313→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: commit: %w\", err)\n   314→\t}\n   315→\treturn nil\n   316→}\n   317→\n   318→// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n   319→// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n   320→// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n   321→// \t\treturn err\n   322→// \t}\n   323→//\n   324→// \treturn nil\n   325→// }\n   326→\n   327→// NodeStateWithNode combines a node state row with denormalized node info.\n   328→type NodeStateWithNode struct {\n   329→\tID              int64  `db:\"id\"`\n   330→\tTimeStamp       int64  `db:\"time_stamp\"`\n   331→\tNodeState       string `db:\"node_state\"`\n   332→\tHealthState     string `db:\"health_state\"`\n   333→\tHealthMetrics   string `db:\"health_metrics\"`\n   334→\tCpusAllocated   int    `db:\"cpus_allocated\"`\n   335→\tMemoryAllocated int64  `db:\"memory_allocated\"`\n   336→\tGpusAllocated   int    `db:\"gpus_allocated\"`\n   337→\tJobsRunning     int    `db:\"jobs_running\"`\n   338→\tHostname        string `db:\"hostname\"`\n   339→\tCluster         string `db:\"cluster\"`\n   340→\tSubCluster      string `db:\"subcluster\"`\n   341→}\n   342→\n   343→// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n   344→// joined with node info for denormalized archiving.\n   345→func (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n   346→\trows, err := sq.Select(\n   347→\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n   348→\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n   349→\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n   350→\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n   351→\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   352→\t).\n   353→\t\tFrom(\"node_state\").\n   354→\t\tJoin(\"node ON node_state.node_id = node.id\").\n   355→\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n   356→\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n   357→\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n   358→\t\tRunWith(r.DB).Query()\n   359→\tif err != nil {\n   360→\t\treturn nil, err\n   361→\t}\n   362→\tdefer rows.Close()\n   363→\n   364→\tvar result []NodeStateWithNode\n   365→\tfor rows.Next() {\n   366→\t\tvar ns NodeStateWithNode\n   367→\t\tvar healthMetrics sql.NullString\n   368→\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n   369→\t\t\t&ns.HealthState, &healthMetrics,\n   370→\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n   371→\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n   372→\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n   373→\t\t\treturn nil, err\n   374→\t\t}\n   375→\t\tns.HealthMetrics = healthMetrics.String\n   376→\t\tresult = append(result, ns)\n   377→\t}\n   378→\treturn result, nil\n   379→}\n   380→\n   381→// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n   382→// but always preserves the row with the latest timestamp per node_id.\n   383→func (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n   384→\tres, err := r.DB.Exec(\n   385→\t\t`DELETE FROM node_state WHERE time_stamp < ?\n   386→\t\t AND id NOT IN (\n   387→\t\t   SELECT id FROM node_state ns2\n   388→\t\t   WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n   389→\t\t )`,\n   390→\t\tcutoff,\n   391→\t)\n   392→\tif err != nil {\n   393→\t\treturn 0, err\n   394→\t}\n   395→\treturn res.RowsAffected()\n   396→}\n   397→\n   398→func (r *NodeRepository) DeleteNode(id int64) error {\n   399→\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n   400→\tif err != nil {\n   401→\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n   402→\t\treturn err\n   403→\t}\n   404→\tcclog.Infof(\"deleted node '%d' from DB\", id)\n   405→\treturn nil\n   406→}\n   407→\n   408→// QueryNodes returns a list of nodes based on a node filter. It always operates\n   409→// on the last state (largest timestamp).\n   410→func (r *NodeRepository) QueryNodes(\n   411→\tctx context.Context,\n   412→\tfilters []*model.NodeFilter,\n   413→\tpage *model.PageRequest,\n   414→\torder *model.OrderByInput, // Currently unused!\n   415→) ([]*schema.Node, error) {\n   416→\tquery, qerr := AccessCheck(ctx,\n   417→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   418→\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n   419→\t\t\tFrom(\"node\").\n   420→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   421→\t\t\tWhere(latestStateCondition()))\n   422→\tif qerr != nil {\n   423→\t\treturn nil, qerr\n   424→\t}\n   425→\n   426→\tquery = applyNodeFilters(query, filters)\n   427→\tquery = query.OrderBy(\"node.hostname ASC\")\n   428→\n   429→\tif page != nil && page.ItemsPerPage != -1 {\n   430→\t\tlimit := uint64(page.ItemsPerPage)\n   431→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n   432→\t}\n   433→\n   434→\trows, err := query.RunWith(r.stmtCache).Query()\n   435→\tif err != nil {\n   436→\t\tqueryString, queryVars, _ := query.ToSql()\n   437→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   438→\t\treturn nil, err\n   439→\t}\n   440→\tdefer rows.Close()\n   441→\n   442→\tnodes := make([]*schema.Node, 0)\n   443→\tfor rows.Next() {\n   444→\t\tnode := schema.Node{}\n   445→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n   446→\t\t\t&node.NodeState, &node.HealthState); err != nil {\n   447→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n   448→\t\t\treturn nil, err\n   449→\t\t}\n   450→\t\tnodes = append(nodes, &node)\n   451→\t}\n   452→\n   453→\tif err := rows.Err(); err != nil {\n   454→\t\treturn nil, err\n   455→\t}\n   456→\n   457→\treturn nodes, nil\n   458→}\n   459→\n   460→// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n   461→// on the last state (largest timestamp). It includes both (!) optional JSON column data\n   462→func (r *NodeRepository) QueryNodesWithMeta(\n   463→\tctx context.Context,\n   464→\tfilters []*model.NodeFilter,\n   465→\tpage *model.PageRequest,\n   466→\torder *model.OrderByInput, // Currently unused!\n   467→) ([]*schema.Node, error) {\n   468→\tquery, qerr := AccessCheck(ctx,\n   469→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   470→\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n   471→\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n   472→\t\t\tFrom(\"node\").\n   473→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   474→\t\t\tWhere(latestStateCondition()))\n   475→\tif qerr != nil {\n   476→\t\treturn nil, qerr\n   477→\t}\n   478→\n   479→\tquery = applyNodeFilters(query, filters)\n   480→\tquery = query.OrderBy(\"node.hostname ASC\")\n   481→\n   482→\tif page != nil && page.ItemsPerPage != -1 {\n   483→\t\tlimit := uint64(page.ItemsPerPage)\n   484→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n   485→\t}\n   486→\n   487→\trows, err := query.RunWith(r.stmtCache).Query()\n   488→\tif err != nil {\n   489→\t\tqueryString, queryVars, _ := query.ToSql()\n   490→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   491→\t\treturn nil, err\n   492→\t}\n   493→\tdefer rows.Close()\n   494→\n   495→\tnodes := make([]*schema.Node, 0)\n   496→\tfor rows.Next() {\n   497→\t\tnode := schema.Node{}\n   498→\t\tRawMetaData := make([]byte, 0)\n   499→\t\tRawMetricHealth := make([]byte, 0)\n   500→\n   501→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n   502→\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n   503→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n   504→\t\t\treturn nil, err\n   505→\t\t}\n   506→\n   507→\t\tif len(RawMetaData) == 0 {\n   508→\t\t\tnode.MetaData = nil\n   509→\t\t} else {\n   510→\t\t\tmetaData := make(map[string]string)\n   511→\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n   512→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n   513→\t\t\t\treturn nil, err\n   514→\t\t\t}\n   515→\t\t\tnode.MetaData = metaData\n   516→\t\t}\n   517→\n   518→\t\tif len(RawMetricHealth) == 0 {\n   519→\t\t\tnode.HealthData = nil\n   520→\t\t} else {\n   521→\t\t\thealthData := make(map[string][]string)\n   522→\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n   523→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n   524→\t\t\t\treturn nil, err\n   525→\t\t\t}\n   526→\t\t\tnode.HealthData = healthData\n   527→\t\t}\n   528→\n   529→\t\tnodes = append(nodes, &node)\n   530→\t}\n   531→\n   532→\tif err := rows.Err(); err != nil {\n   533→\t\treturn nil, err\n   534→\t}\n   535→\n   536→\treturn nodes, nil\n   537→}\n   538→\n   539→// CountNodes returns the total matched nodes based on a node filter. It always operates\n   540→// on the last state (largest timestamp) per node.\n   541→func (r *NodeRepository) CountNodes(\n   542→\tctx context.Context,\n   543→\tfilters []*model.NodeFilter,\n   544→) (int, error) {\n   545→\tquery, qerr := AccessCheck(ctx,\n   546→\t\tsq.Select(\"COUNT(*)\").\n   547→\t\t\tFrom(\"node\").\n   548→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   549→\t\t\tWhere(latestStateCondition()))\n   550→\tif qerr != nil {\n   551→\t\treturn 0, qerr\n   552→\t}\n   553→\n   554→\tquery = applyNodeFilters(query, filters)\n   555→\n   556→\tvar count int\n   557→\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n   558→\t\tqueryString, queryVars, _ := query.ToSql()\n   559→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   560→\t\treturn 0, err\n   561→\t}\n   562→\n   563→\treturn count, nil\n   564→}\n   565→\n   566→func (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n   567→\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   568→\t\t\"node_state.node_state\", \"node_state.health_state\").\n   569→\t\tFrom(\"node\").\n   570→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   571→\t\tWhere(latestStateCondition()).\n   572→\t\tWhere(\"node.cluster = ?\", cluster).\n   573→\t\tOrderBy(\"node.hostname ASC\")\n   574→\n   575→\trows, err := q.RunWith(r.DB).Query()\n   576→\tif err != nil {\n   577→\t\tcclog.Warn(\"Error while querying node list\")\n   578→\t\treturn nil, err\n   579→\t}\n   580→\tnodeList := make([]*schema.Node, 0, 100)\n   581→\tdefer rows.Close()\n   582→\tfor rows.Next() {\n   583→\t\tnode := &schema.Node{}\n   584→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n   585→\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n   586→\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n   587→\t\t\treturn nil, err\n   588→\t\t}\n   589→\n   590→\t\tnodeList = append(nodeList, node)\n   591→\t}\n   592→\n   593→\treturn nodeList, nil\n   594→}\n   595→\n   596→func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n   597→\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n   598→\t\tFrom(\"node\").\n   599→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   600→\t\tWhere(latestStateCondition()).\n   601→\t\tWhere(\"node.cluster = ?\", cluster).\n   602→\t\tOrderBy(\"node.hostname ASC\")\n   603→\n   604→\trows, err := q.RunWith(r.DB).Query()\n   605→\tif err != nil {\n   606→\t\tcclog.Warn(\"Error while querying node list\")\n   607→\t\treturn nil, err\n   608→\t}\n   609→\n   610→\tstateMap := make(map[string]string)\n   611→\tdefer rows.Close()\n   612→\tfor rows.Next() {\n   613→\t\tvar hostname, nodestate string\n   614→\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n   615→\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n   616→\t\t\treturn nil, err\n   617→\t\t}\n   618→\n   619→\t\tstateMap[hostname] = nodestate\n   620→\t}\n   621→\n   622→\treturn stateMap, nil\n   623→}\n   624→\n   625→func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n   626→\tquery, qerr := AccessCheck(ctx,\n   627→\t\tsq.Select(column, \"COUNT(*) as count\").\n   628→\t\t\tFrom(\"node\").\n   629→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   630→\t\t\tWhere(latestStateCondition()).\n   631→\t\t\tGroupBy(column))\n   632→\tif qerr != nil {\n   633→\t\treturn nil, qerr\n   634→\t}\n   635→\n   636→\tquery = applyNodeFilters(query, filters)\n   637→\n   638→\trows, err := query.RunWith(r.stmtCache).Query()\n   639→\tif err != nil {\n   640→\t\tqueryString, queryVars, _ := query.ToSql()\n   641→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   642→\t\treturn nil, err\n   643→\t}\n   644→\tdefer rows.Close()\n   645→\n   646→\tnodes := make([]*model.NodeStates, 0)\n   647→\tfor rows.Next() {\n   648→\t\tvar state string\n   649→\t\tvar count int\n   650→\t\tif err := rows.Scan(&state, &count); err != nil {\n   651→\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n   652→\t\t\treturn nil, err\n   653→\t\t}\n   654→\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n   655→\t}\n   656→\n   657→\tif err := rows.Err(); err != nil {\n   658→\t\treturn nil, err\n   659→\t}\n   660→\n   661→\treturn nodes, nil\n   662→}\n   663→\n   664→func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n   665→\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n   666→\tif qerr != nil {\n   667→\t\treturn nil, qerr\n   668→\t}\n   669→\n   670→\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n   671→\n   672→\tfor _, f := range filters {\n   673→\t\t// Required\n   674→\t\tif f.TimeStart != nil {\n   675→\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n   676→\t\t}\n   677→\t\t// Optional\n   678→\t\tif f.Hostname != nil {\n   679→\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n   680→\t\t}\n   681→\t\tif f.Cluster != nil {\n   682→\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n   683→\t\t}\n   684→\t\tif f.SubCluster != nil {\n   685→\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n   686→\t\t}\n   687→\t\tif f.SchedulerState != nil {\n   688→\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n   689→\t\t}\n   690→\t\tif f.HealthState != nil {\n   691→\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n   692→\t\t}\n   693→\t}\n   694→\n   695→\t// Add Group and Order\n   696→\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n   697→\n   698→\trows, err := query.RunWith(r.stmtCache).Query()\n   699→\tif err != nil {\n   700→\t\tqueryString, queryVars, _ := query.ToSql()\n   701→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   702→\t\treturn nil, err\n   703→\t}\n   704→\tdefer rows.Close()\n   705→\n   706→\trawData := make(map[string][][]int)\n   707→\tfor rows.Next() {\n   708→\t\tvar state string\n   709→\t\tvar timestamp, count int\n   710→\n   711→\t\tif err := rows.Scan(&state, &timestamp, &count); err != nil {\n   712→\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n   713→\t\t\treturn nil, err\n   714→\t\t}\n   715→\n   716→\t\tif rawData[state] == nil {\n   717→\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n   718→\t\t}\n   719→\n   720→\t\trawData[state][0] = append(rawData[state][0], timestamp)\n   721→\t\trawData[state][1] = append(rawData[state][1], count)\n   722→\t}\n   723→\n   724→\tif err := rows.Err(); err != nil {\n   725→\t\treturn nil, err\n   726→\t}\n   727→\n   728→\ttimedStates := make([]*model.NodeStatesTimed, 0)\n   729→\tfor state, data := range rawData {\n   730→\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n   731→\t\ttimedStates = append(timedStates, &entry)\n   732→\t}\n   733→\n   734→\treturn timedStates, nil\n   735→}\n   736→\n   737→func (r *NodeRepository) GetNodesForList(\n   738→\tctx context.Context,\n   739→\tcluster string,\n   740→\tsubCluster string,\n   741→\tstateFilter string,\n   742→\tnodeFilter string,\n   743→\tpage *model.PageRequest,\n   744→) ([]string, map[string]string, int, bool, error) {\n   745→\t// Init Return Vars\n   746→\tnodes := make([]string, 0)\n   747→\tstateMap := make(map[string]string)\n   748→\tcountNodes := 0\n   749→\thasNextPage := false\n   750→\n   751→\t// Build Filters\n   752→\tqueryFilters := make([]*model.NodeFilter, 0)\n   753→\tif cluster != \"\" {\n   754→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n   755→\t}\n   756→\tif subCluster != \"\" {\n   757→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n   758→\t}\n   759→\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n   760→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n   761→\t}\n   762→\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n   763→\t\tqueryState := schema.SchedulerState(stateFilter)\n   764→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n   765→\t}\n   766→\t// if healthFilter != \"all\" {\n   767→\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n   768→\t// }\n   769→\n   770→\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n   771→\tvar backupItems int\n   772→\tif stateFilter == \"notindb\" {\n   773→\t\tbackupItems = page.ItemsPerPage\n   774→\t\tpage.ItemsPerPage = -1\n   775→\t}\n   776→\n   777→\t// Query Nodes From DB\n   778→\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n   779→\tif serr != nil {\n   780→\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n   781→\t\treturn nil, nil, 0, false, serr\n   782→\t}\n   783→\n   784→\t// Intermediate Node Result Info\n   785→\tfor _, node := range rawNodes {\n   786→\t\tif node == nil {\n   787→\t\t\tcontinue\n   788→\t\t}\n   789→\t\tnodes = append(nodes, node.Hostname)\n   790→\t\tstateMap[node.Hostname] = string(node.NodeState)\n   791→\t}\n   792→\n   793→\t// Special Case: Find Nodes not in DB node table but in metricStore only\n   794→\tif stateFilter == \"notindb\" {\n   795→\t\t// Reapply Original Paging\n   796→\t\tpage.ItemsPerPage = backupItems\n   797→\t\t// Get Nodes From Topology\n   798→\t\tvar topoNodes []string\n   799→\t\tif subCluster != \"\" {\n   800→\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n   801→\t\t\ttopoNodes = scNodes.PrintList()\n   802→\t\t} else {\n   803→\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n   804→\t\t\tfor _, nodeList := range subClusterNodeLists {\n   805→\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n   806→\t\t\t}\n   807→\t\t}\n   808→\t\t// Compare to all nodes from cluster/subcluster in DB\n   809→\t\tvar missingNodes []string\n   810→\t\tfor _, scanNode := range topoNodes {\n   811→\t\t\tif !slices.Contains(nodes, scanNode) {\n   812→\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n   813→\t\t\t}\n   814→\t\t}\n   815→\t\t// Filter nodes by name\n   816→\t\tif nodeFilter != \"\" {\n   817→\t\t\tfilteredNodesByName := []string{}\n   818→\t\t\tfor _, missingNode := range missingNodes {\n   819→\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n   820→\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n   821→\t\t\t\t}\n   822→\t\t\t}\n   823→\t\t\tmissingNodes = filteredNodesByName\n   824→\t\t}\n   825→\t\t// Sort Missing Nodes Alphanumerically\n   826→\t\tslices.Sort(missingNodes)\n   827→\t\t// Total Missing\n   828→\t\tcountNodes = len(missingNodes)\n   829→\t\t// Apply paging\n   830→\t\tif countNodes > page.ItemsPerPage {\n   831→\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n   832→\t\t\tend := start + page.ItemsPerPage\n   833→\t\t\tif end > countNodes {\n   834→\t\t\t\tend = countNodes\n   835→\t\t\t\thasNextPage = false\n   836→\t\t\t} else {\n   837→\t\t\t\thasNextPage = true\n   838→\t\t\t}\n   839→\t\t\tnodes = missingNodes[start:end]\n   840→\t\t} else {\n   841→\t\t\tnodes = missingNodes\n   842→\t\t}\n   843→\n   844→\t} else {\n   845→\t\t// DB Nodes: Count and derive hasNextPage from count\n   846→\t\tvar cerr error\n   847→\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n   848→\t\tif cerr != nil {\n   849→\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n   850→\t\t\treturn nil, nil, 0, false, cerr\n   851→\t\t}\n   852→\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n   853→\t}\n   854→\n   855→\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n   856→\tif stateFilter == \"all\" && countNodes == 0 {\n   857→\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n   858→\t}\n   859→\n   860→\treturn nodes, stateMap, countNodes, hasNextPage, nil\n   861→}\n   862→\n   863→func AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n   864→\tuser := GetUserFromContext(ctx)\n   865→\treturn AccessCheckWithUser(user, query)\n   866→}\n   867→\n   868→func AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n   869→\tif user == nil {\n   870→\t\tvar qnil sq.SelectBuilder\n   871→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n   872→\t}\n   873→\n   874→\tswitch {\n   875→\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n   876→\t// \treturn query, nil\n   877→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n   878→\t\treturn query, nil\n   879→\tdefault: // No known Role: No Access, return error\n   880→\t\tvar qnil sq.SelectBuilder\n   881→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n   882→\t}\n   883→}\n   884→\n   885→func getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n   886→\t// 0) Init additional vars\n   887→\thasNextPage := false\n   888→\ttotalNodes := 0\n   889→\n   890→\t// 1) Get list of all nodes\n   891→\tvar topolNodes []string\n   892→\tif subCluster != \"\" {\n   893→\t\tscNodes := archive.NodeLists[cluster][subCluster]\n   894→\t\ttopolNodes = scNodes.PrintList()\n   895→\t} else {\n   896→\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n   897→\t\tfor _, nodeList := range subClusterNodeLists {\n   898→\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n   899→\t\t}\n   900→\t}\n   901→\n   902→\t// 2) Filter nodes\n   903→\tif nodeFilter != \"\" {\n   904→\t\tfilteredNodes := []string{}\n   905→\t\tfor _, node := range topolNodes {\n   906→\t\t\tif strings.Contains(node, nodeFilter) {\n   907→\t\t\t\tfilteredNodes = append(filteredNodes, node)\n   908→\t\t\t}\n   909→\t\t}\n   910→\t\ttopolNodes = filteredNodes\n   911→\t}\n   912→\n   913→\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n   914→\ttotalNodes = len(topolNodes)\n   915→\tsort.Strings(topolNodes)\n   916→\n   917→\t// 3) Apply paging\n   918→\tif len(topolNodes) > page.ItemsPerPage {\n   919→\t\tstart := (page.Page - 1) * page.ItemsPerPage\n   920→\t\tend := start + page.ItemsPerPage\n   921→\t\tif end >= len(topolNodes) {\n   922→\t\t\tend = len(topolNodes)\n   923→\t\t\thasNextPage = false\n   924→\t\t} else {\n   925→\t\t\thasNextPage = true\n   926→\t\t}\n   927→\t\ttopolNodes = topolNodes[start:end]\n   928→\t}\n   929→\n   930→\treturn topolNodes, totalNodes, hasNextPage\n   931→}\n   932→"}]},"uuid":"6c8edef1-a8c9-456d-97fa-3d410e04f313","timestamp":"2026-03-16T10:18:49.302Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"fcc08240-82bd-4123-8e1f-ce0f95d8df8c","timestamp":"2026-03-16T10:18:49.304Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"7d12d80c-ddfe-4da1-bf07-ce2fd2aba9ec","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UMxCyReToFRrj3nPfMgWFx","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// This file contains job statistics and histogram generation functionality for the JobRepository.\n     7→//\n     8→// # Job Statistics\n     9→//\n    10→// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n    11→// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n    12→//   - Overall (JobsStats): Single aggregate across all matching jobs\n    13→//   - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n    14→//   - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n    15→//\n    16→// All statistics methods support filtering via JobFilter and respect security contexts.\n    17→//\n    18→// # Histograms\n    19→//\n    20→// Histogram methods generate distribution data for visualization:\n    21→//   - Duration, nodes, cores, accelerators (AddHistograms)\n    22→//   - Job metrics like CPU load, memory usage (AddMetricHistograms)\n    23→//\n    24→// Histograms use intelligent binning:\n    25→//   - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n    26→//   - Resources: Natural value-based bins\n    27→//   - Metrics: Normalized to peak values with configurable bin counts\n    28→//\n    29→// # Running vs. Completed Jobs\n    30→//\n    31→// Statistics handle running jobs specially:\n    32→//   - Duration calculated as (now - start_time) for running jobs\n    33→//   - Metric histograms for running jobs load data from metric backend instead of footprint\n    34→//   - Job state filtering distinguishes running/completed jobs\n    35→//\n    36→// # Performance Considerations\n    37→//\n    38→// - All queries use prepared statements via stmtCache\n    39→// - Complex aggregations use SQL for efficiency\n    40→// - Histogram pre-initialization ensures consistent bin ranges\n    41→// - Metric histogram queries limited to 5000 jobs for running job analysis\n    42→\n    43→package repository\n    44→\n    45→import (\n    46→\t\"context\"\n    47→\t\"database/sql\"\n    48→\t\"fmt\"\n    49→\t\"time\"\n    50→\n    51→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    52→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    53→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    54→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    55→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    56→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    57→\tsq \"github.com/Masterminds/squirrel\"\n    58→\t\"golang.org/x/sync/errgroup\"\n    59→)\n    60→\n    61→// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n    62→// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n    63→// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\n    64→var groupBy2column = map[model.Aggregate]string{\n    65→\tmodel.AggregateUser:       \"job.hpc_user\",\n    66→\tmodel.AggregateProject:    \"job.project\",\n    67→\tmodel.AggregateCluster:    \"job.cluster\",\n    68→\tmodel.AggregateSubcluster: \"job.subcluster\",\n    69→}\n    70→\n    71→// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n    72→// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n    73→// Column names match the AS aliases used in buildStatsQuery.\n    74→var sortBy2column = map[model.SortByAggregate]string{\n    75→\tmodel.SortByAggregateTotaljobs:      \"totalJobs\",\n    76→\tmodel.SortByAggregateTotalusers:     \"totalUsers\",\n    77→\tmodel.SortByAggregateTotalwalltime:  \"totalWalltime\",\n    78→\tmodel.SortByAggregateTotalnodes:     \"totalNodes\",\n    79→\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n    80→\tmodel.SortByAggregateTotalcores:     \"totalCores\",\n    81→\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n    82→\tmodel.SortByAggregateTotalaccs:      \"totalAccs\",\n    83→\tmodel.SortByAggregateTotalacchours:  \"totalAccHours\",\n    84→}\n    85→\n    86→// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n    87→//\n    88→// Parameters:\n    89→//   - filter: Job filters to apply (cluster, user, time range, etc.)\n    90→//   - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n    91→//   - col: Column name to GROUP BY; empty string for total count without grouping\n    92→//\n    93→// Returns a SelectBuilder that produces either:\n    94→//   - Single count: COUNT(job.id) when col is empty\n    95→//   - Grouped counts: col, COUNT(job.id) when col is specified\n    96→//\n    97→// The kind parameter enables counting specific job categories:\n    98→//   - \"running\": Only jobs with job_state = 'running'\n    99→//   - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n   100→//   - empty: All jobs matching filters\n   101→func (r *JobRepository) buildCountQuery(\n   102→\tfilter []*model.JobFilter,\n   103→\tkind string,\n   104→\tcol string,\n   105→) sq.SelectBuilder {\n   106→\tvar query sq.SelectBuilder\n   107→\n   108→\tif col != \"\" {\n   109→\t\tquery = sq.Select(col, \"COUNT(*)\").From(\"job\").GroupBy(col)\n   110→\t} else {\n   111→\t\tquery = sq.Select(\"COUNT(*)\").From(\"job\")\n   112→\t}\n   113→\n   114→\tswitch kind {\n   115→\tcase \"running\":\n   116→\t\tquery = query.Where(\"job.job_state = 'running'\")\n   117→\tcase \"short\":\n   118→\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n   119→\t}\n   120→\n   121→\tfor _, f := range filter {\n   122→\t\tquery = BuildWhereClause(f, query)\n   123→\t}\n   124→\n   125→\treturn query\n   126→}\n   127→\n   128→// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n   129→// Only requested columns are computed; unrequested columns select 0 as placeholder.\n   130→//\n   131→// Parameters:\n   132→//   - filter: Job filters to apply (cluster, user, time range, etc.)\n   133→//   - col: Column name to GROUP BY; empty string for overall statistics without grouping\n   134→//   - shortThreshold: Duration threshold in seconds for counting short-running jobs\n   135→//   - reqFields: Set of requested field names; nil means compute all fields\n   136→func (r *JobRepository) buildStatsQuery(\n   137→\tfilter []*model.JobFilter,\n   138→\tcol string,\n   139→\tshortThreshold int,\n   140→\treqFields map[string]bool,\n   141→) sq.SelectBuilder {\n   142→\tnow := time.Now().Unix()\n   143→\n   144→\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n   145→\tneed := func(field string) bool {\n   146→\t\treturn reqFields == nil || reqFields[field]\n   147→\t}\n   148→\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n   149→\n   150→\t// Build column list\n   151→\tcolumns := make([]string, 0, 14)\n   152→\n   153→\tif col != \"\" {\n   154→\t\tcolumns = append(columns, col)\n   155→\t}\n   156→\n   157→\tcolumns = append(columns, \"COUNT(*) as totalJobs\")\n   158→\n   159→\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n   160→\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n   161→\t} else {\n   162→\t\tcolumns = append(columns, \"0 AS totalUsers\")\n   163→\t}\n   164→\n   165→\tif need(\"totalWalltime\") {\n   166→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n   167→\t} else {\n   168→\t\tcolumns = append(columns, \"0 as totalWalltime\")\n   169→\t}\n   170→\n   171→\tif need(\"totalNodes\") {\n   172→\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n   173→\t} else {\n   174→\t\tcolumns = append(columns, \"0 as totalNodes\")\n   175→\t}\n   176→\n   177→\tif need(\"totalNodeHours\") {\n   178→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n   179→\t} else {\n   180→\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n   181→\t}\n   182→\n   183→\tif need(\"totalCores\") {\n   184→\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n   185→\t} else {\n   186→\t\tcolumns = append(columns, \"0 as totalCores\")\n   187→\t}\n   188→\n   189→\tif need(\"totalCoreHours\") {\n   190→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n   191→\t} else {\n   192→\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n   193→\t}\n   194→\n   195→\tif need(\"totalAccs\") {\n   196→\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n   197→\t} else {\n   198→\t\tcolumns = append(columns, \"0 as totalAccs\")\n   199→\t}\n   200→\n   201→\tif need(\"totalAccHours\") {\n   202→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n   203→\t} else {\n   204→\t\tcolumns = append(columns, \"0 as totalAccHours\")\n   205→\t}\n   206→\n   207→\tif need(\"runningJobs\") {\n   208→\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n   209→\t} else {\n   210→\t\tcolumns = append(columns, \"0 as runningJobs\")\n   211→\t}\n   212→\n   213→\tif need(\"shortJobs\") {\n   214→\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n   215→\t} else {\n   216→\t\tcolumns = append(columns, \"0 as shortJobs\")\n   217→\t}\n   218→\n   219→\tquery := sq.Select(columns...).From(\"job\")\n   220→\tif col != \"\" {\n   221→\t\tquery = query.GroupBy(col)\n   222→\t}\n   223→\n   224→\tfor _, f := range filter {\n   225→\t\tquery = BuildWhereClause(f, query)\n   226→\t}\n   227→\n   228→\treturn query\n   229→}\n   230→\n   231→// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n   232→// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n   233→// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\n   234→func (r *JobRepository) JobsStatsGrouped(\n   235→\tctx context.Context,\n   236→\tfilter []*model.JobFilter,\n   237→\tpage *model.PageRequest,\n   238→\tsortBy *model.SortByAggregate,\n   239→\tgroupBy *model.Aggregate,\n   240→\treqFields map[string]bool,\n   241→) ([]*model.JobsStatistics, error) {\n   242→\tcol := groupBy2column[*groupBy]\n   243→\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n   244→\n   245→\tquery, err := SecurityCheck(ctx, query)\n   246→\tif err != nil {\n   247→\t\treturn nil, err\n   248→\t}\n   249→\n   250→\tif sortBy != nil {\n   251→\t\tsortBy := sortBy2column[*sortBy]\n   252→\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n   253→\t}\n   254→\tif page != nil && page.ItemsPerPage != -1 {\n   255→\t\tlimit := uint64(page.ItemsPerPage)\n   256→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n   257→\t}\n   258→\n   259→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n   260→\tif err != nil {\n   261→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n   262→\t\treturn nil, err\n   263→\t}\n   264→\tdefer rows.Close()\n   265→\n   266→\tstats := make([]*model.JobsStatistics, 0, 100)\n   267→\n   268→\tfor rows.Next() {\n   269→\t\tvar id sql.NullString\n   270→\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n   271→\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n   272→\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n   273→\t\t\treturn nil, err\n   274→\t\t}\n   275→\n   276→\t\tif id.Valid {\n   277→\t\t\tstats = append(stats,\n   278→\t\t\t\t&model.JobsStatistics{\n   279→\t\t\t\t\tID:             id.String,\n   280→\t\t\t\t\tTotalJobs:      int(jobs.Int64),\n   281→\t\t\t\t\tTotalUsers:     int(users.Int64),\n   282→\t\t\t\t\tTotalWalltime:  int(walltime.Int64),\n   283→\t\t\t\t\tTotalNodes:     int(nodes.Int64),\n   284→\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n   285→\t\t\t\t\tTotalCores:     int(cores.Int64),\n   286→\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n   287→\t\t\t\t\tTotalAccs:      int(accs.Int64),\n   288→\t\t\t\t\tTotalAccHours:  int(accHours.Int64),\n   289→\t\t\t\t\tRunningJobs:    int(runningJobs.Int64),\n   290→\t\t\t\t\tShortJobs:      int(shortJobs.Int64),\n   291→\t\t\t\t})\n   292→\t\t}\n   293→\t}\n   294→\n   295→\tif err := rows.Err(); err != nil {\n   296→\t\treturn nil, err\n   297→\t}\n   298→\n   299→\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n   300→\tif col == \"job.hpc_user\" && len(stats) > 0 {\n   301→\t\tusernames := make([]any, len(stats))\n   302→\t\tfor i, s := range stats {\n   303→\t\t\tusernames[i] = s.ID\n   304→\t\t}\n   305→\n   306→\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n   307→\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n   308→\t\tif err != nil {\n   309→\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n   310→\t\t\t// Non-fatal: stats are still valid without display names\n   311→\t\t} else {\n   312→\t\t\tdefer nameRows.Close()\n   313→\t\t\tnameMap := make(map[string]string, len(stats))\n   314→\t\t\tfor nameRows.Next() {\n   315→\t\t\t\tvar username, name string\n   316→\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n   317→\t\t\t\t\tnameMap[username] = name\n   318→\t\t\t\t}\n   319→\t\t\t}\n   320→\t\t\tfor _, s := range stats {\n   321→\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n   322→\t\t\t\t\ts.Name = name\n   323→\t\t\t\t}\n   324→\t\t\t}\n   325→\t\t}\n   326→\t}\n   327→\n   328→\treturn stats, nil\n   329→}\n   330→\n   331→// JobsStats computes overall job statistics across all matching jobs without grouping.\n   332→//\n   333→// This method provides a single aggregate view of job metrics, useful for dashboard\n   334→// summaries and overall system utilization reports.\n   335→//\n   336→// Parameters:\n   337→//   - ctx: Context for security checks and cancellation\n   338→//   - filter: Filters to apply (time range, cluster, job state, etc.)\n   339→//\n   340→// Returns a single-element slice containing aggregate statistics:\n   341→//   - totalJobs, totalUsers, totalWalltime\n   342→//   - totalNodeHours, totalCoreHours, totalAccHours\n   343→//\n   344→// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n   345→// Security checks are applied via SecurityCheck to respect user access levels.\n   346→func (r *JobRepository) JobsStats(\n   347→\tctx context.Context,\n   348→\tfilter []*model.JobFilter,\n   349→\treqFields map[string]bool,\n   350→) ([]*model.JobsStatistics, error) {\n   351→\tstart := time.Now()\n   352→\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n   353→\tquery, err := SecurityCheck(ctx, query)\n   354→\tif err != nil {\n   355→\t\treturn nil, err\n   356→\t}\n   357→\n   358→\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n   359→\tstats := make([]*model.JobsStatistics, 0, 1)\n   360→\n   361→\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n   362→\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n   363→\t\tcclog.Warn(\"Error while scanning rows\")\n   364→\t\treturn nil, err\n   365→\t}\n   366→\n   367→\tif jobs.Valid {\n   368→\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n   369→\n   370→\t\tif nodeHours.Valid {\n   371→\t\t\ttotalNodeHours = int(nodeHours.Int64)\n   372→\t\t}\n   373→\t\tif coreHours.Valid {\n   374→\t\t\ttotalCoreHours = int(coreHours.Int64)\n   375→\t\t}\n   376→\t\tif accHours.Valid {\n   377→\t\t\ttotalAccHours = int(accHours.Int64)\n   378→\t\t}\n   379→\t\tstats = append(stats,\n   380→\t\t\t&model.JobsStatistics{\n   381→\t\t\t\tTotalJobs:      int(jobs.Int64),\n   382→\t\t\t\tTotalUsers:     int(users.Int64),\n   383→\t\t\t\tTotalWalltime:  int(walltime.Int64),\n   384→\t\t\t\tTotalNodeHours: totalNodeHours,\n   385→\t\t\t\tTotalCoreHours: totalCoreHours,\n   386→\t\t\t\tTotalAccHours:  totalAccHours,\n   387→\t\t\t\tRunningJobs:    int(runningJobs.Int64),\n   388→\t\t\t\tShortJobs:      int(shortJobs.Int64),\n   389→\t\t\t})\n   390→\t}\n   391→\n   392→\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n   393→\treturn stats, nil\n   394→}\n   395→\n   396→// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n   397→// Returns 0.0 if the metric is not found or statType is invalid.\n   398→//\n   399→// Parameters:\n   400→//   - job: Job struct with populated Statistics field\n   401→//   - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n   402→//   - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n   403→//\n   404→// Returns the requested statistic value or 0.0 if not found.\n   405→func LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n   406→\tif stats, ok := job.Statistics[metric]; ok {\n   407→\t\tswitch statType {\n   408→\t\tcase \"avg\":\n   409→\t\t\treturn stats.Avg\n   410→\t\tcase \"max\":\n   411→\t\t\treturn stats.Max\n   412→\t\tcase \"min\":\n   413→\t\t\treturn stats.Min\n   414→\t\tdefault:\n   415→\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n   416→\t\t}\n   417→\t}\n   418→\n   419→\treturn 0.0\n   420→}\n   421→\n   422→// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n   423→//\n   424→// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n   425→// avoiding the overhead of calculating walltime and resource usage metrics.\n   426→//\n   427→// Parameters:\n   428→//   - ctx: Context for security checks\n   429→//   - filter: Filters to apply\n   430→//   - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n   431→//\n   432→// Returns JobsStatistics with only ID and TotalJobs populated for each group.\n   433→func (r *JobRepository) JobCountGrouped(\n   434→\tctx context.Context,\n   435→\tfilter []*model.JobFilter,\n   436→\tgroupBy *model.Aggregate,\n   437→) ([]*model.JobsStatistics, error) {\n   438→\tstart := time.Now()\n   439→\tcol := groupBy2column[*groupBy]\n   440→\tquery := r.buildCountQuery(filter, \"\", col)\n   441→\tquery, err := SecurityCheck(ctx, query)\n   442→\tif err != nil {\n   443→\t\treturn nil, err\n   444→\t}\n   445→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n   446→\tif err != nil {\n   447→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n   448→\t\treturn nil, err\n   449→\t}\n   450→\tdefer rows.Close()\n   451→\n   452→\tstats := make([]*model.JobsStatistics, 0, 100)\n   453→\n   454→\tfor rows.Next() {\n   455→\t\tvar id sql.NullString\n   456→\t\tvar cnt sql.NullInt64\n   457→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n   458→\t\t\tcclog.Warn(\"Error while scanning rows\")\n   459→\t\t\treturn nil, err\n   460→\t\t}\n   461→\t\tif id.Valid {\n   462→\t\t\tstats = append(stats,\n   463→\t\t\t\t&model.JobsStatistics{\n   464→\t\t\t\t\tID:        id.String,\n   465→\t\t\t\t\tTotalJobs: int(cnt.Int64),\n   466→\t\t\t\t})\n   467→\t\t}\n   468→\t}\n   469→\n   470→\tif err := rows.Err(); err != nil {\n   471→\t\treturn nil, err\n   472→\t}\n   473→\n   474→\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n   475→\treturn stats, nil\n   476→}\n   477→\n   478→// AddJobCountGrouped augments existing statistics with additional job counts by category.\n   479→//\n   480→// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n   481→// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n   482→//\n   483→// Parameters:\n   484→//   - ctx: Context for security checks\n   485→//   - filter: Filters to apply\n   486→//   - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n   487→//   - stats: Existing statistics to augment (modified in-place by ID matching)\n   488→//   - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n   489→//\n   490→// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n   491→// Groups without matching jobs will have 0 for the added field.\n   492→func (r *JobRepository) AddJobCountGrouped(\n   493→\tctx context.Context,\n   494→\tfilter []*model.JobFilter,\n   495→\tgroupBy *model.Aggregate,\n   496→\tstats []*model.JobsStatistics,\n   497→\tkind string,\n   498→) ([]*model.JobsStatistics, error) {\n   499→\tstart := time.Now()\n   500→\tcol := groupBy2column[*groupBy]\n   501→\tquery := r.buildCountQuery(filter, kind, col)\n   502→\tquery, err := SecurityCheck(ctx, query)\n   503→\tif err != nil {\n   504→\t\treturn nil, err\n   505→\t}\n   506→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n   507→\tif err != nil {\n   508→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n   509→\t\treturn nil, err\n   510→\t}\n   511→\tdefer rows.Close()\n   512→\n   513→\tcounts := make(map[string]int)\n   514→\n   515→\tfor rows.Next() {\n   516→\t\tvar id sql.NullString\n   517→\t\tvar cnt sql.NullInt64\n   518→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n   519→\t\t\tcclog.Warn(\"Error while scanning rows\")\n   520→\t\t\treturn nil, err\n   521→\t\t}\n   522→\t\tif id.Valid {\n   523→\t\t\tcounts[id.String] = int(cnt.Int64)\n   524→\t\t}\n   525→\t}\n   526→\n   527→\tif err := rows.Err(); err != nil {\n   528→\t\treturn nil, err\n   529→\t}\n   530→\n   531→\tswitch kind {\n   532→\tcase \"running\":\n   533→\t\tfor _, s := range stats {\n   534→\t\t\ts.RunningJobs = counts[s.ID]\n   535→\t\t}\n   536→\tcase \"short\":\n   537→\t\tfor _, s := range stats {\n   538→\t\t\ts.ShortJobs = counts[s.ID]\n   539→\t\t}\n   540→\t}\n   541→\n   542→\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n   543→\treturn stats, nil\n   544→}\n   545→\n   546→// AddJobCount augments existing overall statistics with additional job counts by category.\n   547→//\n   548→// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n   549→// to all statistics entries (typically just one).\n   550→//\n   551→// Parameters:\n   552→//   - ctx: Context for security checks\n   553→//   - filter: Filters to apply\n   554→//   - stats: Existing statistics to augment (modified in-place)\n   555→//   - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n   556→//\n   557→// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\n   558→func (r *JobRepository) AddJobCount(\n   559→\tctx context.Context,\n   560→\tfilter []*model.JobFilter,\n   561→\tstats []*model.JobsStatistics,\n   562→\tkind string,\n   563→) ([]*model.JobsStatistics, error) {\n   564→\tstart := time.Now()\n   565→\tquery := r.buildCountQuery(filter, kind, \"\")\n   566→\tquery, err := SecurityCheck(ctx, query)\n   567→\tif err != nil {\n   568→\t\treturn nil, err\n   569→\t}\n   570→\tvar cnt sql.NullInt64\n   571→\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n   572→\t\tcclog.Warn(\"Error while querying DB for job count\")\n   573→\t\treturn nil, err\n   574→\t}\n   575→\n   576→\tcount := int(cnt.Int64)\n   577→\n   578→\tswitch kind {\n   579→\tcase \"running\":\n   580→\t\tfor _, s := range stats {\n   581→\t\t\ts.RunningJobs = count\n   582→\t\t}\n   583→\tcase \"short\":\n   584→\t\tfor _, s := range stats {\n   585→\t\t\ts.ShortJobs = count\n   586→\t\t}\n   587→\t}\n   588→\n   589→\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n   590→\treturn stats, nil\n   591→}\n   592→\n   593→// AddHistograms augments statistics with distribution histograms for job properties.\n   594→//\n   595→// Generates histogram data for visualization of job duration, node count, core count,\n   596→// and accelerator count distributions. Duration histogram uses intelligent binning based\n   597→// on the requested resolution.\n   598→//\n   599→// Parameters:\n   600→//   - ctx: Context for security checks\n   601→//   - filter: Filters to apply to jobs included in histograms\n   602→//   - stat: Statistics struct to augment (modified in-place)\n   603→//   - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n   604→//\n   605→// Populates these fields in stat:\n   606→//   - HistDuration: Job duration distribution (zero-padded bins)\n   607→//   - HistNumNodes: Node count distribution\n   608→//   - HistNumCores: Core (hwthread) count distribution\n   609→//   - HistNumAccs: Accelerator count distribution\n   610→//\n   611→// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n   612→// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\n   613→func (r *JobRepository) AddHistograms(\n   614→\tctx context.Context,\n   615→\tfilter []*model.JobFilter,\n   616→\tstat *model.JobsStatistics,\n   617→\tdurationBins *string,\n   618→) (*model.JobsStatistics, error) {\n   619→\tstart := time.Now()\n   620→\n   621→\tvar targetBinCount int\n   622→\tvar targetBinSize int\n   623→\tswitch *durationBins {\n   624→\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n   625→\t\ttargetBinCount = 60\n   626→\t\ttargetBinSize = 60\n   627→\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n   628→\t\ttargetBinCount = 72\n   629→\t\ttargetBinSize = 600\n   630→\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n   631→\t\ttargetBinCount = 48\n   632→\t\ttargetBinSize = 3600\n   633→\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n   634→\t\ttargetBinCount = 12\n   635→\t\ttargetBinSize = 21600\n   636→\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n   637→\t\ttargetBinCount = 14\n   638→\t\ttargetBinSize = 43200\n   639→\tdefault: // 24h\n   640→\t\ttargetBinCount = 24\n   641→\t\ttargetBinSize = 3600\n   642→\t}\n   643→\n   644→\t// Run all 4 histogram queries in parallel — each writes a distinct struct field.\n   645→\tg, gctx := errgroup.WithContext(ctx)\n   646→\n   647→\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n   648→\n   649→\tg.Go(func() error {\n   650→\t\tvar err error\n   651→\t\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(gctx, value, filter, targetBinSize, &targetBinCount)\n   652→\t\tif err != nil {\n   653→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n   654→\t\t}\n   655→\t\treturn err\n   656→\t})\n   657→\tg.Go(func() error {\n   658→\t\tvar err error\n   659→\t\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(gctx, \"job.num_nodes as value\", filter)\n   660→\t\tif err != nil {\n   661→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n   662→\t\t}\n   663→\t\treturn err\n   664→\t})\n   665→\tg.Go(func() error {\n   666→\t\tvar err error\n   667→\t\tstat.HistNumCores, err = r.jobsStatisticsHistogram(gctx, \"job.num_hwthreads as value\", filter)\n   668→\t\tif err != nil {\n   669→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n   670→\t\t}\n   671→\t\treturn err\n   672→\t})\n   673→\tg.Go(func() error {\n   674→\t\tvar err error\n   675→\t\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(gctx, \"job.num_acc as value\", filter)\n   676→\t\tif err != nil {\n   677→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n   678→\t\t}\n   679→\t\treturn err\n   680→\t})\n   681→\n   682→\tif err := g.Wait(); err != nil {\n   683→\t\treturn nil, err\n   684→\t}\n   685→\n   686→\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n   687→\treturn stat, nil\n   688→}\n   689→\n   690→// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n   691→//\n   692→// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n   693→// and completed jobs differently: running jobs load data from metric backend, completed jobs\n   694→// use footprint data from database.\n   695→//\n   696→// Parameters:\n   697→//   - ctx: Context for security checks\n   698→//   - filter: Filters to apply (MUST contain State filter for running jobs)\n   699→//   - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n   700→//   - stat: Statistics struct to augment (modified in-place)\n   701→//   - targetBinCount: Number of histogram bins (default: 10)\n   702→//\n   703→// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n   704→//\n   705→// Binning algorithm:\n   706→//   - Values normalized to metric's peak value from cluster configuration\n   707→//   - Bins evenly distributed from 0 to peak\n   708→//   - Pre-initialized with zeros for consistent visualization\n   709→//\n   710→// Limitations:\n   711→//   - Running jobs: Limited to 5000 jobs for performance\n   712→//   - Requires valid cluster configuration with metric peak values\n   713→//   - Uses footprint statistic (avg/max/min) configured per metric\n   714→func (r *JobRepository) AddMetricHistograms(\n   715→\tctx context.Context,\n   716→\tfilter []*model.JobFilter,\n   717→\tmetrics []string,\n   718→\tstat *model.JobsStatistics,\n   719→\ttargetBinCount *int,\n   720→) (*model.JobsStatistics, error) {\n   721→\tstart := time.Now()\n   722→\n   723→\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n   724→\tfor _, f := range filter {\n   725→\t\tif f.State != nil {\n   726→\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n   727→\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n   728→\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n   729→\t\t\t\treturn stat, nil\n   730→\t\t\t}\n   731→\t\t}\n   732→\t}\n   733→\n   734→\t// All other cases: Query and make bins in sqlite directly\n   735→\tfor _, m := range metrics {\n   736→\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n   737→\t\tif err != nil {\n   738→\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n   739→\t\t\tcontinue\n   740→\t\t}\n   741→\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n   742→\t}\n   743→\n   744→\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n   745→\treturn stat, nil\n   746→}\n   747→\n   748→// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n   749→//\n   750→// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n   751→// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n   752→//\n   753→// Parameters:\n   754→//   - value: SQL expression that produces the histogram value, aliased as \"value\"\n   755→//   - filters: Job filters to apply\n   756→//\n   757→// Returns histogram points with Value (from column) and Count (number of jobs).\n   758→func (r *JobRepository) jobsStatisticsHistogram(\n   759→\tctx context.Context,\n   760→\tvalue string,\n   761→\tfilters []*model.JobFilter,\n   762→) ([]*model.HistoPoint, error) {\n   763→\tstart := time.Now()\n   764→\tquery, qerr := SecurityCheck(ctx,\n   765→\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n   766→\n   767→\tif qerr != nil {\n   768→\t\treturn nil, qerr\n   769→\t}\n   770→\n   771→\tfor _, f := range filters {\n   772→\t\tquery = BuildWhereClause(f, query)\n   773→\t}\n   774→\n   775→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n   776→\tif err != nil {\n   777→\t\tcclog.Error(\"Error while running query\")\n   778→\t\treturn nil, err\n   779→\t}\n   780→\tdefer rows.Close()\n   781→\n   782→\tpoints := make([]*model.HistoPoint, 0)\n   783→\t// is it possible to introduce zero values here? requires info about bincount\n   784→\tfor rows.Next() {\n   785→\t\tpoint := model.HistoPoint{}\n   786→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n   787→\t\t\tcclog.Warn(\"Error while scanning rows\")\n   788→\t\t\treturn nil, err\n   789→\t\t}\n   790→\n   791→\t\tpoints = append(points, &point)\n   792→\t}\n   793→\n   794→\tif err := rows.Err(); err != nil {\n   795→\t\treturn nil, err\n   796→\t}\n   797→\n   798→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n   799→\treturn points, nil\n   800→}\n   801→\n   802→// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n   803→//\n   804→// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n   805→// histograms which only return bins with data. The value parameter should compute\n   806→// the bin number from job duration.\n   807→//\n   808→// Parameters:\n   809→//   - value: SQL expression computing bin number from duration, aliased as \"value\"\n   810→//   - filters: Job filters to apply\n   811→//   - binSizeSeconds: Width of each bin in seconds\n   812→//   - targetBinCount: Number of bins to pre-initialize\n   813→//\n   814→// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n   815→// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n   816→//\n   817→// Algorithm:\n   818→//  1. Pre-initialize targetBinCount bins with zero counts\n   819→//  2. Query database for actual counts per bin\n   820→//  3. Match query results to pre-initialized bins by value\n   821→//  4. Bins without matches remain at zero\n   822→func (r *JobRepository) jobsDurationStatisticsHistogram(\n   823→\tctx context.Context,\n   824→\tvalue string,\n   825→\tfilters []*model.JobFilter,\n   826→\tbinSizeSeconds int,\n   827→\ttargetBinCount *int,\n   828→) ([]*model.HistoPoint, error) {\n   829→\tstart := time.Now()\n   830→\tquery, qerr := SecurityCheck(ctx,\n   831→\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n   832→\n   833→\tif qerr != nil {\n   834→\t\treturn nil, qerr\n   835→\t}\n   836→\n   837→\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n   838→\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n   839→\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n   840→\tfor i := 1; i <= *targetBinCount; i++ {\n   841→\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n   842→\t\tpoints = append(points, &point)\n   843→\t}\n   844→\n   845→\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n   846→\tbinMap := make(map[int]int, len(points))\n   847→\tfor i, p := range points {\n   848→\t\tbinMap[p.Value] = i\n   849→\t}\n   850→\n   851→\tfor _, f := range filters {\n   852→\t\tquery = BuildWhereClause(f, query)\n   853→\t}\n   854→\n   855→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n   856→\tif err != nil {\n   857→\t\tcclog.Error(\"Error while running query\")\n   858→\t\treturn nil, err\n   859→\t}\n   860→\tdefer rows.Close()\n   861→\n   862→\t// Match query results to pre-initialized bins using map lookup.\n   863→\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n   864→\tfor rows.Next() {\n   865→\t\tpoint := model.HistoPoint{}\n   866→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n   867→\t\t\tcclog.Warn(\"Error while scanning rows\")\n   868→\t\t\treturn nil, err\n   869→\t\t}\n   870→\n   871→\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n   872→\t\t\tpoints[idx].Count = point.Count\n   873→\t\t}\n   874→\t}\n   875→\n   876→\tif err := rows.Err(); err != nil {\n   877→\t\treturn nil, err\n   878→\t}\n   879→\n   880→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n   881→\treturn points, nil\n   882→}\n   883→\n   884→// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n   885→//\n   886→// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n   887→// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n   888→// and computing bin assignments in SQL.\n   889→//\n   890→// Parameters:\n   891→//   - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n   892→//   - filters: Job filters to apply\n   893→//   - bins: Number of bins to generate\n   894→//\n   895→// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n   896→//\n   897→// Algorithm:\n   898→//  1. Determine peak value from cluster configuration (filtered cluster or max across all)\n   899→//  2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n   900→//  3. Pre-initialize bins with min/max ranges based on peak value\n   901→//  4. Query database for counts per bin\n   902→//  5. Match results to pre-initialized bins\n   903→//\n   904→// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n   905→// peak by 0.999999999 to avoid creating an extra bin.\n   906→func (r *JobRepository) jobsMetricStatisticsHistogram(\n   907→\tctx context.Context,\n   908→\tmetric string,\n   909→\tfilters []*model.JobFilter,\n   910→\tbins *int,\n   911→) (*model.MetricHistoPoints, error) {\n   912→\t// Peak value defines the upper bound for binning: values are distributed across\n   913→\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n   914→\t// scan all clusters to find the maximum peak value.\n   915→\tvar metricConfig *schema.MetricConfig\n   916→\tvar peak float64\n   917→\tvar unit string\n   918→\tvar footprintStat string\n   919→\n   920→\t// Try to get metric config from filtered cluster\n   921→\tfor _, f := range filters {\n   922→\t\tif f.Cluster != nil {\n   923→\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n   924→\t\t\tpeak = metricConfig.Peak\n   925→\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n   926→\t\t\tfootprintStat = metricConfig.Footprint\n   927→\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n   928→\t\t}\n   929→\t}\n   930→\n   931→\t// If no cluster filter or peak not found, find largest peak across all clusters\n   932→\t// This ensures histogram can accommodate all possible values\n   933→\tif peak == 0.0 {\n   934→\t\tfor _, c := range archive.Clusters {\n   935→\t\t\tfor _, m := range c.MetricConfig {\n   936→\t\t\t\tif m.Name == metric {\n   937→\t\t\t\t\tif m.Peak > peak {\n   938→\t\t\t\t\t\tpeak = m.Peak\n   939→\t\t\t\t\t}\n   940→\t\t\t\t\tif unit == \"\" {\n   941→\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n   942→\t\t\t\t\t}\n   943→\t\t\t\t\tif footprintStat == \"\" {\n   944→\t\t\t\t\t\tfootprintStat = m.Footprint\n   945→\t\t\t\t\t}\n   946→\t\t\t\t}\n   947→\t\t\t}\n   948→\t\t}\n   949→\t}\n   950→\n   951→\t// Construct SQL histogram bins using normalized values.\n   952→\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n   953→\tstart := time.Now()\n   954→\n   955→\t// Bin calculation formula:\n   956→\t//   bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n   957→\t// Special case: value == peak would create bin N+1, so we test for equality\n   958→\t// and multiply peak by 0.999999999 to force it into bin N.\n   959→\tbinQuery := fmt.Sprintf(`CAST(\n   960→\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n   961→\t\t* %v as INTEGER )`,\n   962→\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n   963→\n   964→\tmainQuery := sq.Select(\n   965→\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n   966→\t\t`count(*) as count`,\n   967→\t).From(\"job\").Where(\n   968→\t\t\"JSON_VALID(footprint)\",\n   969→\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n   970→\n   971→\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n   972→\tif qerr != nil {\n   973→\t\treturn nil, qerr\n   974→\t}\n   975→\n   976→\tfor _, f := range filters {\n   977→\t\tmainQuery = BuildWhereClause(f, mainQuery)\n   978→\t}\n   979→\n   980→\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n   981→\n   982→\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n   983→\tif err != nil {\n   984→\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n   985→\t\treturn nil, err\n   986→\t}\n   987→\tdefer rows.Close()\n   988→\n   989→\t// Pre-initialize bins with calculated min/max ranges.\n   990→\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n   991→\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n   992→\tbinStep := int(peak) / *bins\n   993→\tfor i := 1; i <= *bins; i++ {\n   994→\t\tbinMin := (binStep * (i - 1))\n   995→\t\tbinMax := (binStep * i)\n   996→\t\tidx := i\n   997→\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n   998→\t\tpoints = append(points, &epoint)\n   999→\t}\n  1000→\n  1001→\t// Build a map from bin number to slice index for O(1) lookup.\n  1002→\tbinMap := make(map[int]int, len(points))\n  1003→\tfor i, p := range points {\n  1004→\t\tif p.Bin != nil {\n  1005→\t\t\tbinMap[*p.Bin] = i\n  1006→\t\t}\n  1007→\t}\n  1008→\n  1009→\t// Match query results to pre-initialized bins using map lookup.\n  1010→\tfor rows.Next() {\n  1011→\t\trpoint := model.MetricHistoPoint{}\n  1012→\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n  1013→\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n  1014→\t\t\treturn nil, err\n  1015→\t\t}\n  1016→\n  1017→\t\tif rpoint.Bin != nil {\n  1018→\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n  1019→\t\t\t\tpoints[idx].Count = rpoint.Count\n  1020→\t\t\t}\n  1021→\t\t}\n  1022→\t}\n  1023→\n  1024→\tif err := rows.Err(); err != nil {\n  1025→\t\treturn nil, err\n  1026→\t}\n  1027→\n  1028→\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n  1029→\n  1030→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n  1031→\treturn &result, nil\n  1032→}\n  1033→\n  1034→// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n  1035→//\n  1036→// Unlike completed jobs which use footprint data from the database, running jobs require\n  1037→// fetching current metric averages from the metric backend (via metricdispatch).\n  1038→//\n  1039→// Parameters:\n  1040→//   - metrics: List of metric names\n  1041→//   - filters: Job filters (should filter to running jobs only)\n  1042→//   - bins: Number of histogram bins\n  1043→//\n  1044→// Returns slice of MetricHistoPoints, one per metric.\n  1045→//\n  1046→// Limitations:\n  1047→//   - Maximum 5000 jobs (returns nil if more jobs match)\n  1048→//   - Requires metric backend availability\n  1049→//   - Bins based on metric peak values from cluster configuration\n  1050→//\n  1051→// Algorithm:\n  1052→//  1. Query first 5001 jobs to check count limit\n  1053→//  2. Load metric averages for all jobs via metricdispatch\n  1054→//  3. For each metric, create bins based on peak value\n  1055→//  4. Iterate averages and count jobs per bin\n  1056→func (r *JobRepository) runningJobsMetricStatisticsHistogram(\n  1057→\tctx context.Context,\n  1058→\tmetrics []string,\n  1059→\tfilters []*model.JobFilter,\n  1060→\tbins *int,\n  1061→) []*model.MetricHistoPoints {\n  1062→\t// Get Jobs\n  1063→\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n  1064→\tif err != nil {\n  1065→\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n  1066→\t\treturn nil\n  1067→\t}\n  1068→\tif len(jobs) > 5000 {\n  1069→\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n  1070→\t\treturn nil\n  1071→\t}\n  1072→\n  1073→\t// Get AVGs from metric repo\n  1074→\tavgs := make([][]schema.Float, len(metrics))\n  1075→\tfor i := range avgs {\n  1076→\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n  1077→\t}\n  1078→\n  1079→\tfor _, job := range jobs {\n  1080→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n  1081→\t\t\tcontinue\n  1082→\t\t}\n  1083→\n  1084→\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n  1085→\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n  1086→\t\t\treturn nil\n  1087→\t\t}\n  1088→\t}\n  1089→\n  1090→\t// Iterate metrics to fill endresult\n  1091→\tdata := make([]*model.MetricHistoPoints, 0)\n  1092→\tfor idx, metric := range metrics {\n  1093→\t\t// Get specific Peak or largest Peak\n  1094→\t\tvar metricConfig *schema.MetricConfig\n  1095→\t\tvar peak float64\n  1096→\t\tvar unit string\n  1097→\n  1098→\t\tfor _, f := range filters {\n  1099→\t\t\tif f.Cluster != nil {\n  1100→\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n  1101→\t\t\t\tpeak = metricConfig.Peak\n  1102→\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n  1103→\t\t\t}\n  1104→\t\t}\n  1105→\n  1106→\t\tif peak == 0.0 {\n  1107→\t\t\tfor _, c := range archive.Clusters {\n  1108→\t\t\t\tfor _, m := range c.MetricConfig {\n  1109→\t\t\t\t\tif m.Name == metric {\n  1110→\t\t\t\t\t\tif m.Peak > peak {\n  1111→\t\t\t\t\t\t\tpeak = m.Peak\n  1112→\t\t\t\t\t\t}\n  1113→\t\t\t\t\t\tif unit == \"\" {\n  1114→\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n  1115→\t\t\t\t\t\t}\n  1116→\t\t\t\t\t}\n  1117→\t\t\t\t}\n  1118→\t\t\t}\n  1119→\t\t}\n  1120→\n  1121→\t\t// Make and fill bins\n  1122→\t\tpeakBin := int(peak) / *bins\n  1123→\n  1124→\t\tpoints := make([]*model.MetricHistoPoint, 0)\n  1125→\t\tfor b := 0; b < *bins; b++ {\n  1126→\t\t\tcount := 0\n  1127→\t\t\tbindex := b + 1\n  1128→\t\t\tbmin := peakBin * b\n  1129→\t\t\tbmax := peakBin * (b + 1)\n  1130→\n  1131→\t\t\t// Iterate AVG values for indexed metric and count for bins\n  1132→\t\t\tfor _, val := range avgs[idx] {\n  1133→\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n  1134→\t\t\t\t\tcount += 1\n  1135→\t\t\t\t}\n  1136→\t\t\t}\n  1137→\n  1138→\t\t\t// Append Bin to Metric Result Array\n  1139→\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n  1140→\t\t\tpoints = append(points, &point)\n  1141→\t\t}\n  1142→\n  1143→\t\t// Append Metric Result Array to final results array\n  1144→\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n  1145→\t\tdata = append(data, &result)\n  1146→\t}\n  1147→\n  1148→\treturn data\n  1149→}\n  1150→"}]},"uuid":"1b08c0d7-88e3-46bf-b4e5-d3e9eefe380b","timestamp":"2026-03-16T10:18:49.571Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"0666b457-3523-46a7-8f45-9dbe3741fc13","timestamp":"2026-03-16T10:18:49.616Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"7e10136c-ebdc-48e4-9f8c-a7fbd406df6d","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Y6uvcUMmeCH46KE6L5JveJ","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package repository\n     6→\n     7→import (\n     8→\t\"encoding/json\"\n     9→\t\"maps\"\n    10→\t\"sync\"\n    11→\t\"time\"\n    12→\n    13→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    14→\t\"github.com/ClusterCockpit/cc-backend/web\"\n    15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    16→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n    17→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    18→\t\"github.com/jmoiron/sqlx\"\n    19→)\n    20→\n    21→var (\n    22→\tuserCfgRepoOnce     sync.Once\n    23→\tuserCfgRepoInstance *UserCfgRepo\n    24→)\n    25→\n    26→type UserCfgRepo struct {\n    27→\tDB         *sqlx.DB\n    28→\tLookup     *sqlx.Stmt\n    29→\tuiDefaults map[string]any\n    30→\tcache      *lrucache.Cache\n    31→\tlock       sync.RWMutex\n    32→}\n    33→\n    34→func GetUserCfgRepo() *UserCfgRepo {\n    35→\tuserCfgRepoOnce.Do(func() {\n    36→\t\tdb := GetConnection()\n    37→\n    38→\t\tlookupConfigStmt, err := db.DB.Preparex(`SELECT confkey, value FROM configuration WHERE configuration.username = ?`)\n    39→\t\tif err != nil {\n    40→\t\t\tcclog.Fatalf(\"User Config: Call 'db.DB.Preparex()' failed.\\nError: %s\\n\", err.Error())\n    41→\t\t}\n    42→\n    43→\t\tuserCfgRepoInstance = &UserCfgRepo{\n    44→\t\t\tDB:         db.DB,\n    45→\t\t\tLookup:     lookupConfigStmt,\n    46→\t\t\tuiDefaults: web.UIDefaultsMap,\n    47→\t\t\tcache:      lrucache.New(1024),\n    48→\t\t}\n    49→\t})\n    50→\n    51→\treturn userCfgRepoInstance\n    52→}\n    53→\n    54→// Return the personalised UI config for the currently authenticated\n    55→// user or return the plain default config.\n    56→func (uCfg *UserCfgRepo) GetUIConfig(user *schema.User) (map[string]any, error) {\n    57→\tif user == nil {\n    58→\t\tcopy := make(map[string]any, len(uCfg.uiDefaults))\n    59→\t\tmaps.Copy(copy, uCfg.uiDefaults)\n    60→\t\treturn copy, nil\n    61→\t}\n    62→\n    63→\t// Is the cache invalidated in case the options are changed?\n    64→\tdata := uCfg.cache.Get(user.Username, func() (any, time.Duration, int) {\n    65→\t\tuiconfig := make(map[string]any, len(uCfg.uiDefaults))\n    66→\t\tmaps.Copy(uiconfig, uCfg.uiDefaults)\n    67→\n    68→\t\trows, err := uCfg.Lookup.Query(user.Username)\n    69→\t\tif err != nil {\n    70→\t\t\tcclog.Warnf(\"Error while looking up user uiconfig for user '%v'\", user.Username)\n    71→\t\t\treturn err, 0, 0\n    72→\t\t}\n    73→\n    74→\t\tsize := 0\n    75→\t\tdefer rows.Close()\n    76→\t\tfor rows.Next() {\n    77→\t\t\tvar key, rawval string\n    78→\t\t\tif err := rows.Scan(&key, &rawval); err != nil {\n    79→\t\t\t\tcclog.Warn(\"Error while scanning user uiconfig values\")\n    80→\t\t\t\treturn err, 0, 0\n    81→\t\t\t}\n    82→\n    83→\t\t\tvar val any\n    84→\t\t\tif err := json.Unmarshal([]byte(rawval), &val); err != nil {\n    85→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw user uiconfig json\")\n    86→\t\t\t\treturn err, 0, 0\n    87→\t\t\t}\n    88→\n    89→\t\t\tsize += len(key)\n    90→\t\t\tsize += len(rawval)\n    91→\t\t\tuiconfig[key] = val\n    92→\t\t}\n    93→\n    94→\t\t// Add global ShortRunningJobsDuration setting as jobList_hideShortRunningJobs\n    95→\t\tuiconfig[\"jobList_hideShortRunningJobs\"] = config.Keys.ShortRunningJobsDuration\n    96→\n    97→\t\treturn uiconfig, 24 * time.Hour, size\n    98→\t})\n    99→\tif err, ok := data.(error); ok {\n   100→\t\tcclog.Error(\"Error in returned dataset\")\n   101→\t\treturn nil, err\n   102→\t}\n   103→\n   104→\treturn data.(map[string]any), nil\n   105→}\n   106→\n   107→// If the context does not have a user, update the global ui configuration\n   108→// without persisting it!  If there is a (authenticated) user, update only his\n   109→// configuration.\n   110→func (uCfg *UserCfgRepo) UpdateConfig(\n   111→\tkey, value string,\n   112→\tuser *schema.User,\n   113→) error {\n   114→\tif user == nil {\n   115→\t\treturn nil\n   116→\t}\n   117→\n   118→\tif _, err := uCfg.DB.Exec(`REPLACE INTO configuration (username, confkey, value) VALUES (?, ?, ?)`, user.Username, key, value); err != nil {\n   119→\t\tcclog.Warnf(\"Error while replacing user config in DB for user '%v'\", user.Username)\n   120→\t\treturn err\n   121→\t}\n   122→\n   123→\tuCfg.cache.Del(user.Username)\n   124→\treturn nil\n   125→}\n   126→"}]},"uuid":"26b657ef-8d4f-4de6-b998-37cf55ac4d70","timestamp":"2026-03-16T10:18:49.618Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"d8270e24-3094-4818-af66-af3c4231100c","timestamp":"2026-03-16T10:18:49.714Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"e910ccc3-d5eb-4e2f-8003-6a46c3a6f551","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CpiGuLdz7DarZP3aRM8bis","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"bytes\"\n    10→\t\"encoding/json\"\n    11→\t\"time\"\n    12→\n    13→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n    14→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    16→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    17→\t\"github.com/go-co-op/gocron/v2\"\n    18→)\n    19→\n    20→const (\n    21→\tDefaultCompressOlderThan = 7\n    22→)\n    23→\n    24→// Retention defines the configuration for job retention policies.\n    25→type Retention struct {\n    26→\tPolicy             string `json:\"policy\"`\n    27→\tFormat             string `json:\"format\"`\n    28→\tAge                int    `json:\"age\"`\n    29→\tIncludeDB          bool   `json:\"include-db\"`\n    30→\tOmitTagged         string `json:\"omit-tagged\"`\n    31→\tTargetKind         string `json:\"target-kind\"`\n    32→\tTargetPath         string `json:\"target-path\"`\n    33→\tTargetEndpoint     string `json:\"target-endpoint\"`\n    34→\tTargetBucket       string `json:\"target-bucket\"`\n    35→\tTargetAccessKey    string `json:\"target-access-key\"`\n    36→\tTargetSecretKey    string `json:\"target-secret-key\"`\n    37→\tTargetRegion       string `json:\"target-region\"`\n    38→\tTargetUsePathStyle bool   `json:\"target-use-path-style\"`\n    39→\tMaxFileSizeMB      int    `json:\"max-file-size-mb\"`\n    40→}\n    41→\n    42→// CronFrequency defines the execution intervals for various background workers.\n    43→type CronFrequency struct {\n    44→\t// Duration Update Worker [Defaults to '2m']\n    45→\tCommitJobWorker string `json:\"commit-job-worker\"`\n    46→\t// Duration Update Worker [Defaults to '5m']\n    47→\tDurationWorker string `json:\"duration-worker\"`\n    48→\t// Metric-Footprint Update Worker [Defaults to '10m']\n    49→\tFootprintWorker string `json:\"footprint-worker\"`\n    50→}\n    51→\n    52→var (\n    53→\ts       gocron.Scheduler\n    54→\tjobRepo *repository.JobRepository\n    55→\t// Keys holds the configured frequencies for cron jobs.\n    56→\tKeys CronFrequency\n    57→)\n    58→\n    59→// parseDuration parses a duration string and handles errors by logging them.\n    60→// It returns the duration and any error encountered.\n    61→func parseDuration(s string) (time.Duration, error) {\n    62→\tinterval, err := time.ParseDuration(s)\n    63→\tif err != nil {\n    64→\t\tcclog.Warnf(\"Could not parse duration for sync interval: %v\",\n    65→\t\t\ts)\n    66→\t\treturn 0, err\n    67→\t}\n    68→\n    69→\tif interval == 0 {\n    70→\t\tcclog.Info(\"TaskManager: Sync interval is zero\")\n    71→\t}\n    72→\n    73→\treturn interval, nil\n    74→}\n    75→\n    76→func initArchiveServices(config json.RawMessage) {\n    77→\tvar cfg struct {\n    78→\t\tRetention   Retention `json:\"retention\"`\n    79→\t\tCompression int       `json:\"compression\"`\n    80→\t}\n    81→\tcfg.Retention.IncludeDB = true\n    82→\n    83→\tif err := json.Unmarshal(config, &cfg); err != nil {\n    84→\t\tcclog.Errorf(\"error while unmarshaling raw config json: %v\", err)\n    85→\t}\n    86→\n    87→\tswitch cfg.Retention.Policy {\n    88→\tcase \"delete\":\n    89→\t\tRegisterRetentionDeleteService(cfg.Retention)\n    90→\tcase \"copy\":\n    91→\t\tRegisterRetentionCopyService(cfg.Retention)\n    92→\tcase \"move\":\n    93→\t\tRegisterRetentionMoveService(cfg.Retention)\n    94→\t}\n    95→\n    96→\tif cfg.Compression > 0 {\n    97→\t\tRegisterCompressionService(cfg.Compression)\n    98→\t} else {\n    99→\t\tRegisterCompressionService(DefaultCompressOlderThan)\n   100→\t}\n   101→}\n   102→\n   103→// Start initializes the task manager, parses configurations, and registers background tasks.\n   104→// It starts the gocron scheduler.\n   105→func Start(cronCfg, archiveConfig json.RawMessage) {\n   106→\tvar err error\n   107→\tjobRepo = repository.GetJobRepository()\n   108→\ts, err = gocron.NewScheduler()\n   109→\tif err != nil {\n   110→\t\tcclog.Abortf(\"Taskmanager Start: Could not create gocron scheduler.\\nError: %s\\n\", err.Error())\n   111→\t}\n   112→\n   113→\tif config.Keys.StopJobsExceedingWalltime > 0 {\n   114→\t\tRegisterStopJobsExceedTime()\n   115→\t}\n   116→\n   117→\tdec := json.NewDecoder(bytes.NewReader(cronCfg))\n   118→\tdec.DisallowUnknownFields()\n   119→\tif err := dec.Decode(&Keys); err != nil {\n   120→\t\tcclog.Errorf(\"error while decoding cron config: %v\", err)\n   121→\t}\n   122→\n   123→\tif archiveConfig != nil {\n   124→\t\tinitArchiveServices(archiveConfig)\n   125→\t} else {\n   126→\t\t// Always enable compression\n   127→\t\tRegisterCompressionService(DefaultCompressOlderThan)\n   128→\t}\n   129→\n   130→\tlc := auth.Keys.LdapConfig\n   131→\n   132→\tif lc != nil && lc.SyncInterval != \"\" {\n   133→\t\tRegisterLdapSyncService(lc.SyncInterval)\n   134→\t}\n   135→\n   136→\tRegisterFootprintWorker()\n   137→\tRegisterUpdateDurationWorker()\n   138→\tRegisterCommitJobService()\n   139→\n   140→\tif config.Keys.NodeStateRetention != nil && config.Keys.NodeStateRetention.Policy != \"\" {\n   141→\t\tinitNodeStateRetention()\n   142→\t}\n   143→\n   144→\ts.Start()\n   145→}\n   146→\n   147→func initNodeStateRetention() {\n   148→\tcfg := config.Keys.NodeStateRetention\n   149→\tage := cfg.Age\n   150→\tif age <= 0 {\n   151→\t\tage = 24\n   152→\t}\n   153→\n   154→\tswitch cfg.Policy {\n   155→\tcase \"delete\":\n   156→\t\tRegisterNodeStateRetentionDeleteService(age)\n   157→\tcase \"move\":\n   158→\t\tRegisterNodeStateRetentionMoveService(cfg)\n   159→\tdefault:\n   160→\t\tcclog.Warnf(\"Unknown nodestate-retention policy: %s\", cfg.Policy)\n   161→\t}\n   162→}\n   163→\n   164→// Shutdown stops the task manager and its scheduler.\n   165→func Shutdown() {\n   166→\tif s != nil {\n   167→\t\ts.Shutdown()\n   168→\t}\n   169→}\n   170→"}]},"uuid":"b840ac82-4a71-46d9-966b-08f9e24c9ff6","timestamp":"2026-03-16T10:18:50.450Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"01afc9b5-e14c-4c7f-9c82-78662ffd0b55","timestamp":"2026-03-16T10:18:50.776Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"01afc9b5-e14c-4c7f-9c82-78662ffd0b55","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:50.952Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01U1b7E1LkY7Mpj9eAiD9htg","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016yhvR19UmnU9A4PBVr5Bav","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/server.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":732,"cache_read_input_tokens":18318,"cache_creation":{"ephemeral_5m_input_tokens":732,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6owgZ8C1ittjgPqDs","uuid":"fb5717cc-7ae1-4942-aa0d-3cac688edc69"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"3abb3ed5-e1ac-444b-8400-ea37551200fc","timestamp":"2026-03-16T10:18:50.952Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"3abb3ed5-e1ac-444b-8400-ea37551200fc","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016yhvR19UmnU9A4PBVr5Bav","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package main provides the entry point for the ClusterCockpit backend server.\n     7→// This file contains HTTP server setup, routing configuration, and\n     8→// authentication middleware integration.\n     9→package main\n    10→\n    11→import (\n    12→\t\"context\"\n    13→\t\"crypto/tls\"\n    14→\t\"encoding/json\"\n    15→\t\"errors\"\n    16→\t\"fmt\"\n    17→\t\"net\"\n    18→\t\"net/http\"\n    19→\t\"os\"\n    20→\t\"strings\"\n    21→\t\"time\"\n    22→\n    23→\t\"github.com/99designs/gqlgen/graphql\"\n    24→\t\"github.com/99designs/gqlgen/graphql/handler\"\n    25→\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n    26→\t\"github.com/99designs/gqlgen/graphql/playground\"\n    27→\t\"github.com/ClusterCockpit/cc-backend/internal/api\"\n    28→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    29→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n    30→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    31→\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n    32→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n    33→\t\"github.com/ClusterCockpit/cc-backend/internal/routerConfig\"\n    34→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n    35→\t\"github.com/ClusterCockpit/cc-backend/web\"\n    36→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    37→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    38→\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n    39→\t\"github.com/go-chi/chi/v5\"\n    40→\t\"github.com/go-chi/chi/v5/middleware\"\n    41→\t\"github.com/go-chi/cors\"\n    42→\thttpSwagger \"github.com/swaggo/http-swagger\"\n    43→)\n    44→\n    45→var buildInfo web.Build\n    46→\n    47→// Environment variable names\n    48→const (\n    49→\tenvDebug = \"DEBUG\"\n    50→)\n    51→\n    52→// Server encapsulates the HTTP server state and dependencies\n    53→type Server struct {\n    54→\trouter        chi.Router\n    55→\tserver        *http.Server\n    56→\trestAPIHandle *api.RestAPI\n    57→\tnatsAPIHandle *api.NatsAPI\n    58→}\n    59→\n    60→func onFailureResponse(rw http.ResponseWriter, r *http.Request, err error) {\n    61→\trw.Header().Add(\"Content-Type\", \"application/json\")\n    62→\trw.WriteHeader(http.StatusUnauthorized)\n    63→\tjson.NewEncoder(rw).Encode(map[string]string{\n    64→\t\t\"status\": http.StatusText(http.StatusUnauthorized),\n    65→\t\t\"error\":  err.Error(),\n    66→\t})\n    67→}\n    68→\n    69→// NewServer creates and initializes a new Server instance\n    70→func NewServer(version, commit, buildDate string) (*Server, error) {\n    71→\tbuildInfo = web.Build{Version: version, Hash: commit, Buildtime: buildDate}\n    72→\n    73→\ts := &Server{\n    74→\t\trouter: chi.NewRouter(),\n    75→\t}\n    76→\n    77→\tif err := s.init(); err != nil {\n    78→\t\treturn nil, err\n    79→\t}\n    80→\n    81→\treturn s, nil\n    82→}\n    83→\n    84→func (s *Server) init() error {\n    85→\t// Setup the http.Handler/Router used by the server\n    86→\tgraph.Init()\n    87→\tresolver := graph.GetResolverInstance()\n    88→\tgraphQLServer := handler.New(\n    89→\t\tgenerated.NewExecutableSchema(generated.Config{Resolvers: resolver}))\n    90→\n    91→\tgraphQLServer.AddTransport(transport.POST{})\n    92→\n    93→\t// Inject a per-request stats cache so that grouped statistics queries\n    94→\t// sharing the same (filter, groupBy) pair are executed only once.\n    95→\tgraphQLServer.AroundOperations(func(ctx context.Context, next graphql.OperationHandler) graphql.ResponseHandler {\n    96→\t\treturn next(graph.WithStatsGroupCache(ctx))\n    97→\t})\n    98→\n    99→\tif os.Getenv(envDebug) != \"1\" {\n   100→\t\t// Having this handler means that a error message is returned via GraphQL instead of the connection simply beeing closed.\n   101→\t\t// The problem with this is that then, no more stacktrace is printed to stderr.\n   102→\t\tgraphQLServer.SetRecoverFunc(func(ctx context.Context, err any) error {\n   103→\t\t\tswitch e := err.(type) {\n   104→\t\t\tcase string:\n   105→\t\t\t\treturn fmt.Errorf(\"MAIN > Panic: %s\", e)\n   106→\t\t\tcase error:\n   107→\t\t\t\treturn fmt.Errorf(\"MAIN > Panic caused by: %s\", e.Error())\n   108→\t\t\t}\n   109→\n   110→\t\t\treturn errors.New(\"MAIN > Internal server error (panic)\")\n   111→\t\t})\n   112→\t}\n   113→\n   114→\tauthHandle := auth.GetAuthInstance()\n   115→\n   116→\t// Middleware must be defined before routes in chi\n   117→\ts.router.Use(func(next http.Handler) http.Handler {\n   118→\t\treturn http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n   119→\t\t\tstart := time.Now()\n   120→\t\t\tww := middleware.NewWrapResponseWriter(rw, r.ProtoMajor)\n   121→\t\t\tnext.ServeHTTP(ww, r)\n   122→\t\t\tcclog.Debugf(\"%s %s (%d, %.02fkb, %dms)\",\n   123→\t\t\t\tr.Method, r.URL.RequestURI(),\n   124→\t\t\t\tww.Status(), float32(ww.BytesWritten())/1024,\n   125→\t\t\t\ttime.Since(start).Milliseconds())\n   126→\t\t})\n   127→\t})\n   128→\ts.router.Use(middleware.Compress(5))\n   129→\ts.router.Use(middleware.Recoverer)\n   130→\ts.router.Use(cors.Handler(cors.Options{\n   131→\t\tAllowCredentials: true,\n   132→\t\tAllowedHeaders:   []string{\"X-Requested-With\", \"Content-Type\", \"Authorization\", \"Origin\"},\n   133→\t\tAllowedMethods:   []string{\"GET\", \"POST\", \"HEAD\", \"OPTIONS\"},\n   134→\t\tAllowedOrigins:   []string{\"*\"},\n   135→\t}))\n   136→\n   137→\ts.restAPIHandle = api.New()\n   138→\n   139→\tinfo := map[string]any{}\n   140→\tinfo[\"hasOpenIDConnect\"] = false\n   141→\n   142→\tif auth.Keys.OpenIDConfig != nil {\n   143→\t\topenIDConnect := auth.NewOIDC(authHandle)\n   144→\t\topenIDConnect.RegisterEndpoints(s.router)\n   145→\t\tinfo[\"hasOpenIDConnect\"] = true\n   146→\t}\n   147→\n   148→\ts.router.Get(\"/login\", func(rw http.ResponseWriter, r *http.Request) {\n   149→\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n   150→\t\tcclog.Debugf(\"##%v##\", info)\n   151→\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{Title: \"Login\", Build: buildInfo, Infos: info})\n   152→\t})\n   153→\ts.router.HandleFunc(\"/imprint\", func(rw http.ResponseWriter, r *http.Request) {\n   154→\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n   155→\t\tweb.RenderTemplate(rw, \"imprint.tmpl\", &web.Page{Title: \"Imprint\", Build: buildInfo})\n   156→\t})\n   157→\ts.router.HandleFunc(\"/privacy\", func(rw http.ResponseWriter, r *http.Request) {\n   158→\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n   159→\t\tweb.RenderTemplate(rw, \"privacy.tmpl\", &web.Page{Title: \"Privacy\", Build: buildInfo})\n   160→\t})\n   161→\n   162→\tif !config.Keys.DisableAuthentication {\n   163→\t\t// Create login failure handler (used by both /login and /jwt-login)\n   164→\t\tloginFailureHandler := func(rw http.ResponseWriter, r *http.Request, err error) {\n   165→\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n   166→\t\t\trw.WriteHeader(http.StatusUnauthorized)\n   167→\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n   168→\t\t\t\tTitle:   \"Login failed - ClusterCockpit\",\n   169→\t\t\t\tMsgType: \"alert-warning\",\n   170→\t\t\t\tMessage: err.Error(),\n   171→\t\t\t\tBuild:   buildInfo,\n   172→\t\t\t\tInfos:   info,\n   173→\t\t\t})\n   174→\t\t}\n   175→\n   176→\t\ts.router.Post(\"/login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n   177→\t\ts.router.HandleFunc(\"/jwt-login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n   178→\n   179→\t\ts.router.Post(\"/logout\", authHandle.Logout(\n   180→\t\t\thttp.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n   181→\t\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n   182→\t\t\t\trw.WriteHeader(http.StatusOK)\n   183→\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n   184→\t\t\t\t\tTitle:   \"Bye - ClusterCockpit\",\n   185→\t\t\t\t\tMsgType: \"alert-info\",\n   186→\t\t\t\t\tMessage: \"Logout successful\",\n   187→\t\t\t\t\tBuild:   buildInfo,\n   188→\t\t\t\t\tInfos:   info,\n   189→\t\t\t\t})\n   190→\t\t\t})).ServeHTTP)\n   191→\t}\n   192→\n   193→\tif flagDev {\n   194→\t\ts.router.Handle(\"/playground\", playground.Handler(\"GraphQL playground\", \"/query\"))\n   195→\t\ts.router.Get(\"/swagger/*\", httpSwagger.Handler(\n   196→\t\t\thttpSwagger.URL(\"http://\"+config.Keys.Addr+\"/swagger/doc.json\")))\n   197→\t}\n   198→\n   199→\t// Secured routes (require authentication)\n   200→\ts.router.Group(func(secured chi.Router) {\n   201→\t\tif !config.Keys.DisableAuthentication {\n   202→\t\t\tsecured.Use(func(next http.Handler) http.Handler {\n   203→\t\t\t\treturn authHandle.Auth(\n   204→\t\t\t\t\tnext,\n   205→\t\t\t\t\tfunc(rw http.ResponseWriter, r *http.Request, err error) {\n   206→\t\t\t\t\t\trw.WriteHeader(http.StatusUnauthorized)\n   207→\t\t\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n   208→\t\t\t\t\t\t\tTitle:    \"Authentication failed - ClusterCockpit\",\n   209→\t\t\t\t\t\t\tMsgType:  \"alert-danger\",\n   210→\t\t\t\t\t\t\tMessage:  err.Error(),\n   211→\t\t\t\t\t\t\tBuild:    buildInfo,\n   212→\t\t\t\t\t\t\tInfos:    info,\n   213→\t\t\t\t\t\t\tRedirect: r.RequestURI,\n   214→\t\t\t\t\t\t})\n   215→\t\t\t\t\t})\n   216→\t\t\t})\n   217→\t\t}\n   218→\n   219→\t\tsecured.Handle(\"/query\", graphQLServer)\n   220→\n   221→\t\tsecured.HandleFunc(\"/search\", func(rw http.ResponseWriter, r *http.Request) {\n   222→\t\t\trouterConfig.HandleSearchBar(rw, r, buildInfo)\n   223→\t\t})\n   224→\n   225→\t\trouterConfig.SetupRoutes(secured, buildInfo)\n   226→\t})\n   227→\n   228→\t// API routes (JWT token auth)\n   229→\ts.router.Route(\"/api\", func(apiRouter chi.Router) {\n   230→\t\t// Main API routes with API auth\n   231→\t\tapiRouter.Group(func(securedapi chi.Router) {\n   232→\t\t\tif !config.Keys.DisableAuthentication {\n   233→\t\t\t\tsecuredapi.Use(func(next http.Handler) http.Handler {\n   234→\t\t\t\t\treturn authHandle.AuthAPI(next, onFailureResponse)\n   235→\t\t\t\t})\n   236→\t\t\t}\n   237→\t\t\ts.restAPIHandle.MountAPIRoutes(securedapi)\n   238→\t\t})\n   239→\n   240→\t\t// Metric store API routes with separate auth\n   241→\t\tapiRouter.Group(func(metricstoreapi chi.Router) {\n   242→\t\t\tif !config.Keys.DisableAuthentication {\n   243→\t\t\t\tmetricstoreapi.Use(func(next http.Handler) http.Handler {\n   244→\t\t\t\t\treturn authHandle.AuthMetricStoreAPI(next, onFailureResponse)\n   245→\t\t\t\t})\n   246→\t\t\t}\n   247→\t\t\ts.restAPIHandle.MountMetricStoreAPIRoutes(metricstoreapi)\n   248→\t\t})\n   249→\t})\n   250→\n   251→\t// User API routes\n   252→\ts.router.Route(\"/userapi\", func(userapi chi.Router) {\n   253→\t\tif !config.Keys.DisableAuthentication {\n   254→\t\t\tuserapi.Use(func(next http.Handler) http.Handler {\n   255→\t\t\t\treturn authHandle.AuthUserAPI(next, onFailureResponse)\n   256→\t\t\t})\n   257→\t\t}\n   258→\t\ts.restAPIHandle.MountUserAPIRoutes(userapi)\n   259→\t})\n   260→\n   261→\t// Config API routes (uses Group with full paths to avoid shadowing\n   262→\t// the /config page route that is registered in the secured group)\n   263→\ts.router.Group(func(configapi chi.Router) {\n   264→\t\tif !config.Keys.DisableAuthentication {\n   265→\t\t\tconfigapi.Use(func(next http.Handler) http.Handler {\n   266→\t\t\t\treturn authHandle.AuthConfigAPI(next, onFailureResponse)\n   267→\t\t\t})\n   268→\t\t}\n   269→\t\ts.restAPIHandle.MountConfigAPIRoutes(configapi)\n   270→\t})\n   271→\n   272→\t// Frontend API routes\n   273→\ts.router.Route(\"/frontend\", func(frontendapi chi.Router) {\n   274→\t\tif !config.Keys.DisableAuthentication {\n   275→\t\t\tfrontendapi.Use(func(next http.Handler) http.Handler {\n   276→\t\t\t\treturn authHandle.AuthFrontendAPI(next, onFailureResponse)\n   277→\t\t\t})\n   278→\t\t}\n   279→\t\ts.restAPIHandle.MountFrontendAPIRoutes(frontendapi)\n   280→\t})\n   281→\n   282→\tif config.Keys.APISubjects != nil {\n   283→\t\ts.natsAPIHandle = api.NewNatsAPI()\n   284→\t\tif err := s.natsAPIHandle.StartSubscriptions(); err != nil {\n   285→\t\t\treturn fmt.Errorf(\"starting NATS subscriptions: %w\", err)\n   286→\t\t}\n   287→\t}\n   288→\n   289→\t// 404 handler for pages and API routes\n   290→\tnotFoundHandler := func(rw http.ResponseWriter, r *http.Request) {\n   291→\t\tif strings.HasPrefix(r.URL.Path, \"/api/\") || strings.HasPrefix(r.URL.Path, \"/userapi/\") ||\n   292→\t\t\tstrings.HasPrefix(r.URL.Path, \"/frontend/\") || strings.HasPrefix(r.URL.Path, \"/config/\") {\n   293→\t\t\trw.Header().Set(\"Content-Type\", \"application/json\")\n   294→\t\t\trw.WriteHeader(http.StatusNotFound)\n   295→\t\t\tjson.NewEncoder(rw).Encode(map[string]string{\n   296→\t\t\t\t\"status\": \"Resource not found\",\n   297→\t\t\t\t\"error\":  \"the requested endpoint does not exist\",\n   298→\t\t\t})\n   299→\t\t\treturn\n   300→\t\t}\n   301→\t\trw.Header().Set(\"Content-Type\", \"text/html; charset=utf-8\")\n   302→\t\trw.WriteHeader(http.StatusNotFound)\n   303→\t\tweb.RenderTemplate(rw, \"404.tmpl\", &web.Page{\n   304→\t\t\tTitle: \"Page Not Found\",\n   305→\t\t\tBuild: buildInfo,\n   306→\t\t})\n   307→\t}\n   308→\n   309→\t// Set NotFound on the router so chi uses it for all unmatched routes,\n   310→\t// including those under subrouters like /api, /userapi, /frontend, etc.\n   311→\ts.router.NotFound(notFoundHandler)\n   312→\n   313→\tif config.Keys.EmbedStaticFiles {\n   314→\t\tif i, err := os.Stat(\"./var/img\"); err == nil {\n   315→\t\t\tif i.IsDir() {\n   316→\t\t\t\tcclog.Info(\"Use local directory for static images\")\n   317→\t\t\t\ts.router.Handle(\"/img/*\", http.StripPrefix(\"/img/\", http.FileServer(http.Dir(\"./var/img\"))))\n   318→\t\t\t}\n   319→\t\t}\n   320→\t\tfileServer := http.StripPrefix(\"/\", web.ServeFiles())\n   321→\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n   322→\t\t\tif web.StaticFileExists(r.URL.Path) {\n   323→\t\t\t\tfileServer.ServeHTTP(rw, r)\n   324→\t\t\t\treturn\n   325→\t\t\t}\n   326→\t\t\tnotFoundHandler(rw, r)\n   327→\t\t}))\n   328→\t} else {\n   329→\t\tstaticDir := http.Dir(config.Keys.StaticFiles)\n   330→\t\tfileServer := http.FileServer(staticDir)\n   331→\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n   332→\t\t\tf, err := staticDir.Open(r.URL.Path)\n   333→\t\t\tif err == nil {\n   334→\t\t\t\tf.Close()\n   335→\t\t\t\tfileServer.ServeHTTP(rw, r)\n   336→\t\t\t\treturn\n   337→\t\t\t}\n   338→\t\t\tnotFoundHandler(rw, r)\n   339→\t\t}))\n   340→\t}\n   341→\n   342→\treturn nil\n   343→}\n   344→\n   345→// Server timeout defaults (in seconds)\n   346→const (\n   347→\tdefaultReadTimeout  = 20\n   348→\tdefaultWriteTimeout = 20\n   349→)\n   350→\n   351→func (s *Server) Start(ctx context.Context) error {\n   352→\t// Use configurable timeouts with defaults\n   353→\treadTimeout := time.Duration(defaultReadTimeout) * time.Second\n   354→\twriteTimeout := time.Duration(defaultWriteTimeout) * time.Second\n   355→\n   356→\ts.server = &http.Server{\n   357→\t\tReadTimeout:  readTimeout,\n   358→\t\tWriteTimeout: writeTimeout,\n   359→\t\tHandler:      s.router,\n   360→\t\tAddr:         config.Keys.Addr,\n   361→\t}\n   362→\n   363→\t// Start http or https server\n   364→\tlistener, err := net.Listen(\"tcp\", config.Keys.Addr)\n   365→\tif err != nil {\n   366→\t\treturn fmt.Errorf(\"starting listener on '%s': %w\", config.Keys.Addr, err)\n   367→\t}\n   368→\n   369→\tif !strings.HasSuffix(config.Keys.Addr, \":80\") && config.Keys.RedirectHTTPTo != \"\" {\n   370→\t\tgo func() {\n   371→\t\t\thttp.ListenAndServe(\":80\", http.RedirectHandler(config.Keys.RedirectHTTPTo, http.StatusMovedPermanently))\n   372→\t\t}()\n   373→\t}\n   374→\n   375→\tif config.Keys.HTTPSCertFile != \"\" && config.Keys.HTTPSKeyFile != \"\" {\n   376→\t\tcert, err := tls.LoadX509KeyPair(\n   377→\t\t\tconfig.Keys.HTTPSCertFile, config.Keys.HTTPSKeyFile)\n   378→\t\tif err != nil {\n   379→\t\t\treturn fmt.Errorf(\"loading X509 keypair (check 'https-cert-file' and 'https-key-file' in config.json): %w\", err)\n   380→\t\t}\n   381→\t\tlistener = tls.NewListener(listener, &tls.Config{\n   382→\t\t\tCertificates: []tls.Certificate{cert},\n   383→\t\t\tCipherSuites: []uint16{\n   384→\t\t\t\ttls.TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256,\n   385→\t\t\t\ttls.TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256,\n   386→\t\t\t},\n   387→\t\t\tMinVersion:               tls.VersionTLS12,\n   388→\t\t\tPreferServerCipherSuites: true,\n   389→\t\t})\n   390→\t\tcclog.Infof(\"HTTPS server listening at %s...\", config.Keys.Addr)\n   391→\t} else {\n   392→\t\tcclog.Infof(\"HTTP server listening at %s...\", config.Keys.Addr)\n   393→\t}\n   394→\t//\n   395→\t// Because this program will want to bind to a privileged port (like 80), the listener must\n   396→\t// be established first, then the user can be changed, and after that,\n   397→\t// the actual http server can be started.\n   398→\tif err := runtime.DropPrivileges(config.Keys.Group, config.Keys.User); err != nil {\n   399→\t\treturn fmt.Errorf(\"dropping privileges: %w\", err)\n   400→\t}\n   401→\n   402→\t// Handle context cancellation for graceful shutdown\n   403→\tgo func() {\n   404→\t\t<-ctx.Done()\n   405→\t\tshutdownCtx, cancel := context.WithTimeout(context.Background(), 30*time.Second)\n   406→\t\tdefer cancel()\n   407→\t\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n   408→\t\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n   409→\t\t}\n   410→\t}()\n   411→\n   412→\tif err = s.server.Serve(listener); err != nil && err != http.ErrServerClosed {\n   413→\t\treturn fmt.Errorf(\"server failed: %w\", err)\n   414→\t}\n   415→\treturn nil\n   416→}\n   417→\n   418→func (s *Server) Shutdown(ctx context.Context) {\n   419→\t// Create a shutdown context with timeout\n   420→\tshutdownCtx, cancel := context.WithTimeout(ctx, 30*time.Second)\n   421→\tdefer cancel()\n   422→\n   423→\tnc := nats.GetClient()\n   424→\tif nc != nil {\n   425→\t\tnc.Close()\n   426→\t}\n   427→\n   428→\t// First shut down the server gracefully (waiting for all ongoing requests)\n   429→\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n   430→\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n   431→\t}\n   432→\n   433→\t// Archive all the metric store data\n   434→\tms := metricstore.GetMemoryStore()\n   435→\n   436→\tif ms != nil {\n   437→\t\tmetricstore.Shutdown()\n   438→\t}\n   439→\n   440→\t// Shutdown archiver with 10 second timeout for fast shutdown\n   441→\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n   442→\t\tcclog.Warnf(\"Archiver shutdown: %v\", err)\n   443→\t}\n   444→}\n   445→"}]},"uuid":"7b6c56ec-39d9-4a50-88ed-3b62f3e9c091","timestamp":"2026-03-16T10:18:50.958Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"20c14204-0590-4339-9d5b-3a776c10857e","timestamp":"2026-03-16T10:18:51.005Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"5a11fcda-fbc0-4d2a-b438-24bfece03046","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EYSQna5UcVakBUY28WzWCZ","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"bufio\"\n    10→\t\"database/sql\"\n    11→\t\"encoding/json\"\n    12→\t\"errors\"\n    13→\t\"fmt\"\n    14→\t\"net/http\"\n    15→\t\"strconv\"\n    16→\t\"strings\"\n    17→\t\"sync\"\n    18→\t\"time\"\n    19→\n    20→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    21→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    22→\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n    23→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    24→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n    25→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    26→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    27→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    28→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    29→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    30→\t\"github.com/go-chi/chi/v5\"\n    31→)\n    32→\n    33→const (\n    34→\t// secondsPerDay is the number of seconds in 24 hours.\n    35→\t// Used for duplicate job detection within a day window.\n    36→\tsecondsPerDay = 86400\n    37→)\n    38→\n    39→// StopJobAPIRequest model\n    40→type StopJobAPIRequest struct {\n    41→\tJobID     *int64          `json:\"jobId\" example:\"123000\"`\n    42→\tCluster   *string         `json:\"cluster\" example:\"fritz\"`\n    43→\tStartTime *int64          `json:\"startTime\" example:\"1649723812\"`\n    44→\tState     schema.JobState `json:\"jobState\" validate:\"required\" example:\"completed\"`\n    45→\tStopTime  int64           `json:\"stopTime\" validate:\"required\" example:\"1649763839\"`\n    46→}\n    47→\n    48→// DeleteJobAPIRequest model\n    49→type DeleteJobAPIRequest struct {\n    50→\tJobID     *int64  `json:\"jobId\" validate:\"required\" example:\"123000\"` // Cluster Job ID of job\n    51→\tCluster   *string `json:\"cluster\" example:\"fritz\"`                    // Cluster of job\n    52→\tStartTime *int64  `json:\"startTime\" example:\"1649723812\"`             // Start Time of job as epoch\n    53→}\n    54→\n    55→// GetJobsAPIResponse model\n    56→type GetJobsAPIResponse struct {\n    57→\tJobs  []*schema.Job `json:\"jobs\"`  // Array of jobs\n    58→\tItems int           `json:\"items\"` // Number of jobs returned\n    59→\tPage  int           `json:\"page\"`  // Page id returned\n    60→}\n    61→\n    62→// APITag model\n    63→type APITag struct {\n    64→\t// Tag Type\n    65→\tType  string `json:\"type\" example:\"Debug\"`\n    66→\tName  string `json:\"name\" example:\"Testjob\"` // Tag Name\n    67→\tScope string `json:\"scope\" example:\"global\"` // Tag Scope for Frontend Display\n    68→}\n    69→\n    70→type EditMetaRequest struct {\n    71→\tKey   string `json:\"key\" example:\"jobScript\"`\n    72→\tValue string `json:\"value\" example:\"bash script\"`\n    73→}\n    74→\n    75→// JobMetaRequest model\n    76→type JobMetaRequest struct {\n    77→\tJobId     *int64          `json:\"jobId\" validate:\"required\" example:\"123000\"` // Cluster Job ID of job\n    78→\tCluster   *string         `json:\"cluster\" example:\"fritz\"`                    // Cluster of job\n    79→\tStartTime *int64          `json:\"startTime\" example:\"1649723812\"`             // Start Time of job as epoch\n    80→\tPayload   EditMetaRequest `json:\"payload\"`                                    // Content to Add to Job Meta_Data\n    81→}\n    82→\n    83→type TagJobAPIRequest []*APITag\n    84→\n    85→type GetJobAPIRequest []string\n    86→\n    87→type GetJobAPIResponse struct {\n    88→\tMeta *schema.Job\n    89→\tData []*JobMetricWithName\n    90→}\n    91→\n    92→type GetCompleteJobAPIResponse struct {\n    93→\tMeta *schema.Job\n    94→\tData schema.JobData\n    95→}\n    96→\n    97→type JobMetricWithName struct {\n    98→\tMetric *schema.JobMetric  `json:\"metric\"`\n    99→\tName   string             `json:\"name\"`\n   100→\tScope  schema.MetricScope `json:\"scope\"`\n   101→}\n   102→\n   103→// getJobs godoc\n   104→// @summary     Lists all jobs\n   105→// @tags Job query\n   106→// @description Get a list of all jobs. Filters can be applied using query parameters.\n   107→// @description Number of results can be limited by page. Results are sorted by descending startTime.\n   108→// @produce     json\n   109→// @param       state          query    string            false \"Job State\" Enums(running, completed, failed, cancelled, stopped, timeout)\n   110→// @param       cluster        query    string            false \"Job Cluster\"\n   111→// @param       start-time     query    string            false \"Syntax: '$from-$to', as unix epoch timestamps in seconds\"\n   112→// @param       items-per-page query    int               false \"Items per page (Default: 25)\"\n   113→// @param       page           query    int               false \"Page Number (Default: 1)\"\n   114→// @param       with-metadata  query    bool              false \"Include metadata (e.g. jobScript) in response\"\n   115→// @success     200            {object} api.GetJobsAPIResponse  \"Job array and page info\"\n   116→// @failure     400            {object} api.ErrorResponse       \"Bad Request\"\n   117→// @failure     401   \t\t   {object} api.ErrorResponse       \"Unauthorized\"\n   118→// @failure     403            {object} api.ErrorResponse       \"Forbidden\"\n   119→// @failure     500            {object} api.ErrorResponse       \"Internal Server Error\"\n   120→// @security    ApiKeyAuth\n   121→// @router      /api/jobs/ [get]\n   122→func (api *RestAPI) getJobs(rw http.ResponseWriter, r *http.Request) {\n   123→\twithMetadata := false\n   124→\tfilter := &model.JobFilter{}\n   125→\tpage := &model.PageRequest{ItemsPerPage: 25, Page: 1}\n   126→\torder := &model.OrderByInput{Field: \"startTime\", Type: \"col\", Order: model.SortDirectionEnumDesc}\n   127→\n   128→\tfor key, vals := range r.URL.Query() {\n   129→\t\tswitch key {\n   130→\t\tcase \"project\":\n   131→\t\t\tfilter.Project = &model.StringInput{Eq: &vals[0]}\n   132→\t\tcase \"state\":\n   133→\t\t\tfor _, s := range vals {\n   134→\t\t\t\tstate := schema.JobState(s)\n   135→\t\t\t\tif !state.Valid() {\n   136→\t\t\t\t\thandleError(fmt.Errorf(\"invalid query parameter value: state\"),\n   137→\t\t\t\t\t\thttp.StatusBadRequest, rw)\n   138→\t\t\t\t\treturn\n   139→\t\t\t\t}\n   140→\t\t\t\tfilter.State = append(filter.State, state)\n   141→\t\t\t}\n   142→\t\tcase \"cluster\":\n   143→\t\t\tfilter.Cluster = &model.StringInput{Eq: &vals[0]}\n   144→\t\tcase \"start-time\": // ?startTime=1753707480-1754053139\n   145→\t\t\tst := strings.Split(vals[0], \"-\")\n   146→\t\t\tif len(st) != 2 {\n   147→\t\t\t\thandleError(fmt.Errorf(\"invalid query parameter value: startTime\"),\n   148→\t\t\t\t\thttp.StatusBadRequest, rw)\n   149→\t\t\t\treturn\n   150→\t\t\t}\n   151→\t\t\tfrom, err := strconv.ParseInt(st[0], 10, 64)\n   152→\t\t\tif err != nil {\n   153→\t\t\t\thandleError(err, http.StatusBadRequest, rw)\n   154→\t\t\t\treturn\n   155→\t\t\t}\n   156→\t\t\tto, err := strconv.ParseInt(st[1], 10, 64)\n   157→\t\t\tif err != nil {\n   158→\t\t\t\thandleError(err, http.StatusBadRequest, rw)\n   159→\t\t\t\treturn\n   160→\t\t\t}\n   161→\t\t\tufrom, uto := time.Unix(from, 0), time.Unix(to, 0)\n   162→\t\t\tfilter.StartTime = &config.TimeRange{From: &ufrom, To: &uto}\n   163→\t\tcase \"page\":\n   164→\t\t\tx, err := strconv.Atoi(vals[0])\n   165→\t\t\tif err != nil {\n   166→\t\t\t\thandleError(err, http.StatusBadRequest, rw)\n   167→\t\t\t\treturn\n   168→\t\t\t}\n   169→\t\t\tpage.Page = x\n   170→\t\tcase \"items-per-page\":\n   171→\t\t\tx, err := strconv.Atoi(vals[0])\n   172→\t\t\tif err != nil {\n   173→\t\t\t\thandleError(err, http.StatusBadRequest, rw)\n   174→\t\t\t\treturn\n   175→\t\t\t}\n   176→\t\t\tpage.ItemsPerPage = x\n   177→\t\tcase \"with-metadata\":\n   178→\t\t\twithMetadata = true\n   179→\t\tdefault:\n   180→\t\t\thandleError(fmt.Errorf(\"invalid query parameter: %s\", key),\n   181→\t\t\t\thttp.StatusBadRequest, rw)\n   182→\t\t\treturn\n   183→\t\t}\n   184→\t}\n   185→\n   186→\tjobs, err := api.JobRepository.QueryJobs(r.Context(), []*model.JobFilter{filter}, page, order)\n   187→\tif err != nil {\n   188→\t\thandleError(err, http.StatusInternalServerError, rw)\n   189→\t\treturn\n   190→\t}\n   191→\n   192→\tresults := make([]*schema.Job, 0, len(jobs))\n   193→\tfor _, job := range jobs {\n   194→\t\tif withMetadata {\n   195→\t\t\tif _, err = api.JobRepository.FetchMetadata(job); err != nil {\n   196→\t\t\t\thandleError(err, http.StatusInternalServerError, rw)\n   197→\t\t\t\treturn\n   198→\t\t\t}\n   199→\t\t}\n   200→"}]},"uuid":"8fa28d9a-01e0-42a6-90c9-b57102ff1253","timestamp":"2026-03-16T10:18:51.830Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"06455334-fd48-4615-b71c-7833878dbe31","timestamp":"2026-03-16T10:18:52.270Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"06455334-fd48-4615-b71c-7833878dbe31","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:52.307Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_014RpU7fRmzbTvy6u5LUG6sy","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0138fSPJx1XBMMc57JEsMKjS","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","limit":300},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":32692,"cache_read_input_tokens":42461,"cache_creation":{"ephemeral_5m_input_tokens":32692,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6uZ2XXuQVqpSoyuCh","uuid":"09122b3a-f95b-4190-800f-1261e69713f0"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"034bec39-c50a-4c61-af67-9340a163e069","timestamp":"2026-03-16T10:18:52.307Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"034bec39-c50a-4c61-af67-9340a163e069","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0138fSPJx1XBMMc57JEsMKjS","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"database/sql\"\n    10→\t\"encoding/json\"\n    11→\t\"strings\"\n    12→\t\"sync\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n    21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n    23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    24→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n    25→)\n    26→\n    27→// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n    28→// It mirrors the functionality of the REST API but uses NATS messaging with\n    29→// InfluxDB line protocol as the message format.\n    30→//\n    31→// # Message Format\n    32→//\n    33→// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n    34→// with the following structure:\n    35→//\n    36→//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n    37→//\n    38→// # Job Events\n    39→//\n    40→// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n    41→//\n    42→//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n    43→//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n    44→//\n    45→// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n    46→//\n    47→// Example job start message:\n    48→//\n    49→//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n    50→//\n    51→// # Node State Events\n    52→//\n    53→// Node state updates use the \"nodestate\" measurement with cluster information:\n    54→//\n    55→//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n    56→//\n    57→// The JSON payload follows the UpdateNodeStatesRequest structure.\n    58→//\n    59→// Example node state message:\n    60→//\n    61→//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\n    62→type NatsAPI struct {\n    63→\tJobRepository *repository.JobRepository\n    64→\t// RepositoryMutex protects job creation operations from race conditions\n    65→\t// when checking for duplicate jobs during startJob calls.\n    66→\tRepositoryMutex sync.Mutex\n    67→\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n    68→\t// when the database is under contention.\n    69→\tjobSem chan struct{}\n    70→\t// nodeSem limits concurrent NATS node state processing.\n    71→\tnodeSem chan struct{}\n    72→}\n    73→\n    74→// NewNatsAPI creates a new NatsAPI instance with default dependencies.\n    75→func NewNatsAPI() *NatsAPI {\n    76→\treturn &NatsAPI{\n    77→\t\tJobRepository: repository.GetJobRepository(),\n    78→\t\tjobSem:        make(chan struct{}, 8),\n    79→\t\tnodeSem:       make(chan struct{}, 2),\n    80→\t}\n    81→}\n    82→\n    83→// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n    84→// Returns an error if the NATS client is not available or subscription fails.\n    85→func (api *NatsAPI) StartSubscriptions() error {\n    86→\tclient := nats.GetClient()\n    87→\tif client == nil {\n    88→\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n    89→\t\treturn nil\n    90→\t}\n    91→\n    92→\tif config.Keys.APISubjects != nil {\n    93→\n    94→\t\ts := config.Keys.APISubjects\n    95→\n    96→\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n    97→\t\t\treturn err\n    98→\t\t}\n    99→\n   100→\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n   101→\t\t\treturn err\n   102→\t\t}\n   103→\n   104→\t\tcclog.Info(\"NATS API subscriptions started\")\n   105→\t}\n   106→\treturn nil\n   107→}\n   108→\n   109→// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n   110→// Validates that required tags and fields are present before processing.\n   111→func (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n   112→\tfunction, ok := msg.GetTag(\"function\")\n   113→\tif !ok {\n   114→\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n   115→\t\treturn\n   116→\t}\n   117→\n   118→\tswitch function {\n   119→\tcase \"start_job\":\n   120→\t\tv, ok := msg.GetEventValue()\n   121→\t\tif !ok {\n   122→\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n   123→\t\t\treturn\n   124→\t\t}\n   125→\t\tapi.handleStartJob(v)\n   126→\n   127→\tcase \"stop_job\":\n   128→\t\tv, ok := msg.GetEventValue()\n   129→\t\tif !ok {\n   130→\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n   131→\t\t\treturn\n   132→\t\t}\n   133→\t\tapi.handleStopJob(v)\n   134→\n   135→\tdefault:\n   136→\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n   137→\t}\n   138→}\n   139→\n   140→// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n   141→// The message must be in line protocol format with measurement=\"job\" and include:\n   142→//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n   143→//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n   144→//\n   145→// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\n   146→func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n   147→\tapi.jobSem <- struct{}{}\n   148→\tdefer func() { <-api.jobSem }()\n   149→\n   150→\tif len(data) == 0 {\n   151→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n   152→\t\treturn\n   153→\t}\n   154→\n   155→\td := influx.NewDecoderWithBytes(data)\n   156→\n   157→\tfor d.Next() {\n   158→\t\tm, err := receivers.DecodeInfluxMessage(d)\n   159→\t\tif err != nil {\n   160→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n   161→\t\t\treturn\n   162→\t\t}\n   163→\n   164→\t\tif !m.IsEvent() {\n   165→\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n   166→\t\t\tcontinue\n   167→\t\t}\n   168→\n   169→\t\tif m.Name() == \"job\" {\n   170→\t\t\tapi.processJobEvent(m)\n   171→\t\t} else {\n   172→\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n   173→\t\t}\n   174→\t}\n   175→}\n   176→\n   177→// handleStartJob processes job start messages received via NATS.\n   178→// The payload parameter contains JSON following the schema.Job structure.\n   179→// Jobs are validated, checked for duplicates, and inserted into the database.\n   180→func (api *NatsAPI) handleStartJob(payload string) {\n   181→\tif payload == \"\" {\n   182→\t\tcclog.Error(\"NATS start job: payload is empty\")\n   183→\t\treturn\n   184→\t}\n   185→\treq := schema.Job{\n   186→\t\tShared:           \"none\",\n   187→\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n   188→\t}\n   189→\n   190→\tdec := json.NewDecoder(strings.NewReader(payload))\n   191→\tdec.DisallowUnknownFields()\n   192→\tif err := dec.Decode(&req); err != nil {\n   193→\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n   194→\t\treturn\n   195→\t}\n   196→\n   197→\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n   198→\treq.State = schema.JobStateRunning\n   199→\n   200→\tif err := importer.SanityChecks(&req); err != nil {\n   201→\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n   202→\t\treturn\n   203→\t}\n   204→\n   205→\tvar unlockOnce sync.Once\n   206→\tapi.RepositoryMutex.Lock()\n   207→\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n   208→\n   209→\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n   210→\tif err != nil && err != sql.ErrNoRows {\n   211→\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n   212→\t\treturn\n   213→\t}\n   214→\tif err == nil {\n   215→\t\tfor _, job := range jobs {\n   216→\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n   217→\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n   218→\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n   219→\t\t\t\treturn\n   220→\t\t\t}\n   221→\t\t}\n   222→\t}\n   223→\n   224→\t// When tags are present, insert directly into the job table so that the\n   225→\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n   226→\tvar id int64\n   227→\tif len(req.Tags) > 0 {\n   228→\t\tid, err = api.JobRepository.StartDirect(&req)\n   229→\t} else {\n   230→\t\tid, err = api.JobRepository.Start(&req)\n   231→\t}\n   232→\tif err != nil {\n   233→\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n   234→\t\treturn\n   235→\t}\n   236→\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n   237→\n   238→\tfor _, tag := range req.Tags {\n   239→\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n   240→\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n   241→\t\t\treturn\n   242→\t\t}\n   243→\t}\n   244→\n   245→\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n   246→\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n   247→}\n   248→\n   249→// handleStopJob processes job stop messages received via NATS.\n   250→// The payload parameter contains JSON following the StopJobAPIRequest structure.\n   251→// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\n   252→func (api *NatsAPI) handleStopJob(payload string) {\n   253→\tif payload == \"\" {\n   254→\t\tcclog.Error(\"NATS stop job: payload is empty\")\n   255→\t\treturn\n   256→\t}\n   257→\tvar req StopJobAPIRequest\n   258→\n   259→\tdec := json.NewDecoder(strings.NewReader(payload))\n   260→\tdec.DisallowUnknownFields()\n   261→\tif err := dec.Decode(&req); err != nil {\n   262→\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n   263→\t\treturn\n   264→\t}\n   265→\n   266→\tif req.JobID == nil {\n   267→\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n   268→\t\treturn\n   269→\t}\n   270→\n   271→\tisCached := false\n   272→\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n   273→\tif err != nil {\n   274→\t\t// Not in cache, try main job table\n   275→\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n   276→\t\tif err != nil {\n   277→\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n   278→\t\t\treturn\n   279→\t\t}\n   280→\t} else {\n   281→\t\tisCached = true\n   282→\t}\n   283→\n   284→\tif job.State != schema.JobStateRunning {\n   285→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n   286→\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n   287→\t\treturn\n   288→\t}\n   289→\n   290→\tif job.StartTime > req.StopTime {\n   291→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n   292→\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n   293→\t\treturn\n   294→\t}\n   295→\n   296→\tif req.State != \"\" && !req.State.Valid() {\n   297→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n   298→\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n   299→\t\treturn\n   300→\t} else if req.State == \"\" {"}]},"uuid":"68f92ccf-dcd2-44c7-ae0c-9cc92fa16a31","timestamp":"2026-03-16T10:18:52.312Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"e7c52f97-a672-42e1-b458-852a45a55359","timestamp":"2026-03-16T10:18:52.484Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"e7c52f97-a672-42e1-b458-852a45a55359","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:52.499Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_014RpU7fRmzbTvy6u5LUG6sy","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FrMUW3tZPqHat9qa6eqbpH","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go","limit":200},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":32692,"cache_read_input_tokens":42461,"cache_creation":{"ephemeral_5m_input_tokens":32692,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6uZ2XXuQVqpSoyuCh","uuid":"6666959d-9375-46e4-adf2-6f6b7fa0f062"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"c970c9a1-3efa-4cc4-ab9b-477603861792","timestamp":"2026-03-16T10:18:52.499Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"c970c9a1-3efa-4cc4-ab9b-477603861792","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:52.611Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01FswytQvCqoFYSU3AmH6q5f","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Hv1yuvYBP6YWQkJoztcfGA","name":"Glob","input":{"pattern":"**/internal/repository/*.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":3935,"cache_read_input_tokens":13439,"cache_creation":{"ephemeral_5m_input_tokens":3935,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b72dB5f1EUEvnwKueu","uuid":"3c730341-fccc-48d2-90e1-5930af07d7e4"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"de9b01d3-2e31-411a-938e-0c99c9204886","timestamp":"2026-03-16T10:18:52.612Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"de9b01d3-2e31-411a-938e-0c99c9204886","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:52.697Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_018BvSFRrKwvkCJRXsXqyqUE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GVe7iDsxjAWTtf2dJJLYMn","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/commitJobService.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":9364,"cache_read_input_tokens":19050,"cache_creation":{"ephemeral_5m_input_tokens":9364,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6ztkQgkP8T8PDj2ki","uuid":"8b56c79f-de9a-4d8a-a5d0-0c28725410d9"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"16f0a124-a349-43c9-b827-a995fb5d376e","timestamp":"2026-03-16T10:18:52.697Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"16f0a124-a349-43c9-b827-a995fb5d376e","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GVe7iDsxjAWTtf2dJJLYMn","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"time\"\n    10→\n    11→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    13→\t\"github.com/go-co-op/gocron/v2\"\n    14→)\n    15→\n    16→func RegisterCommitJobService() {\n    17→\tvar frequency string\n    18→\tif Keys.CommitJobWorker != \"\" {\n    19→\t\tfrequency = Keys.CommitJobWorker\n    20→\t} else {\n    21→\t\tfrequency = \"2m\"\n    22→\t}\n    23→\n    24→\td, err := parseDuration(frequency)\n    25→\tif err != nil {\n    26→\t\tcclog.Errorf(\"RegisterCommitJobService: %v\", err)\n    27→\t\treturn\n    28→\t}\n    29→\n    30→\tcclog.Infof(\"register commitJob service with %s interval\", frequency)\n    31→\n    32→\ts.NewJob(gocron.DurationJob(d),\n    33→\t\tgocron.NewTask(\n    34→\t\t\tfunc() {\n    35→\t\t\t\tstart := time.Now()\n    36→\t\t\t\tcclog.Debugf(\"jobcache sync started at %s\\n\", start.Format(time.RFC3339))\n    37→\t\t\t\tjobs, _ := jobRepo.SyncJobs()\n    38→\t\t\t\trepository.CallJobStartHooks(jobs)\n    39→\t\t\t\tcclog.Debugf(\"jobcache sync and job callbacks are done and took %s\\n\", time.Since(start))\n    40→\t\t\t}))\n    41→}\n    42→"}]},"uuid":"ad4207db-30ea-473c-9763-0b212db62b2f","timestamp":"2026-03-16T10:18:52.699Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"f7507017-4225-4c02-979d-0ff1692fe91c","timestamp":"2026-03-16T10:18:52.699Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"f7507017-4225-4c02-979d-0ff1692fe91c","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FrMUW3tZPqHat9qa6eqbpH","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"fmt\"\n    10→\t\"maps\"\n    11→\t\"net/http\"\n    12→\t\"strings\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→)\n    22→\n    23→type UpdateNodeStatesRequest struct {\n    24→\tNodes   []schema.NodePayload `json:\"nodes\"`\n    25→\tCluster string               `json:\"cluster\" example:\"fritz\"`\n    26→}\n    27→\n    28→// metricListToNames converts a map of metric configurations to a list of metric names\n    29→func metricListToNames(metricList map[string]*schema.Metric) []string {\n    30→\tnames := make([]string, 0, len(metricList))\n    31→\tfor name := range metricList {\n    32→\t\tnames = append(names, name)\n    33→\t}\n    34→\treturn names\n    35→}\n    36→\n    37→// this routine assumes that only one of them exists per node\n    38→func determineState(states []string) schema.SchedulerState {\n    39→\tfor _, state := range states {\n    40→\t\tswitch strings.ToLower(state) {\n    41→\t\tcase \"allocated\":\n    42→\t\t\treturn schema.NodeStateAllocated\n    43→\t\tcase \"reserved\":\n    44→\t\t\treturn schema.NodeStateReserved\n    45→\t\tcase \"idle\":\n    46→\t\t\treturn schema.NodeStateIdle\n    47→\t\tcase \"down\":\n    48→\t\t\treturn schema.NodeStateDown\n    49→\t\tcase \"mixed\":\n    50→\t\t\treturn schema.NodeStateMixed\n    51→\t\t}\n    52→\t}\n    53→\n    54→\treturn schema.NodeStateUnknown\n    55→}\n    56→\n    57→// updateNodeStates godoc\n    58→// @summary     Deliver updated Slurm node states\n    59→// @tags Nodestates\n    60→// @description Returns a JSON-encoded list of users.\n    61→// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n    62→// @produce     json\n    63→// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n    64→// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n    65→// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n    66→// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n    67→// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n    68→// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n    69→// @security    ApiKeyAuth\n    70→// @router      /api/nodestats/ [post]\n    71→func (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n    72→\t// Parse request body\n    73→\treq := UpdateNodeStatesRequest{}\n    74→\tif err := decode(r.Body, &req); err != nil {\n    75→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n    76→\t\t\thttp.StatusBadRequest, rw)\n    77→\t\treturn\n    78→\t}\n    79→\trequestReceived := time.Now().Unix()\n    80→\trepo := repository.GetNodeRepository()\n    81→\n    82→\tm := make(map[string][]string)\n    83→\tmetricNames := make(map[string][]string)\n    84→\thealthResults := make(map[string]metricstore.HealthCheckResult)\n    85→\n    86→\tstartMs := time.Now()\n    87→\n    88→\t// Step 1: Build nodeList and metricList per subcluster\n    89→\tfor _, node := range req.Nodes {\n    90→\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n    91→\t\t\tm[sc] = append(m[sc], node.Hostname)\n    92→\t\t}\n    93→\t}\n    94→\n    95→\tfor sc := range m {\n    96→\t\tif sc != \"\" {\n    97→\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n    98→\t\t\tmetricNames[sc] = metricListToNames(metricList)\n    99→\t\t}\n   100→\t}\n   101→\n   102→\t// Step 2: Determine which metric store to query and perform health check\n   103→\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n   104→\tif err != nil {\n   105→\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n   106→\t} else {\n   107→\t\tfor sc, nl := range m {\n   108→\t\t\tif sc != \"\" {\n   109→\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n   110→\t\t\t\t\tmaps.Copy(healthResults, results)\n   111→\t\t\t\t}\n   112→\t\t\t}\n   113→\t\t}\n   114→\t}\n   115→\n   116→\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n   117→\tstartDB := time.Now()\n   118→\n   119→\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n   120→\tfor _, node := range req.Nodes {\n   121→\t\tstate := determineState(node.States)\n   122→\t\thealthState := schema.MonitoringStateFailed\n   123→\t\tvar healthMetrics string\n   124→\t\tif result, ok := healthResults[node.Hostname]; ok {\n   125→\t\t\thealthState = result.State\n   126→\t\t\thealthMetrics = result.HealthMetrics\n   127→\t\t}\n   128→\t\tnodeState := schema.NodeStateDB{\n   129→\t\t\tTimeStamp:       requestReceived,\n   130→\t\t\tNodeState:       state,\n   131→\t\t\tCpusAllocated:   node.CpusAllocated,\n   132→\t\t\tMemoryAllocated: node.MemoryAllocated,\n   133→\t\t\tGpusAllocated:   node.GpusAllocated,\n   134→\t\t\tHealthState:     healthState,\n   135→\t\t\tHealthMetrics:   healthMetrics,\n   136→\t\t\tJobsRunning:     node.JobsRunning,\n   137→\t\t}\n   138→\t\tupdates = append(updates, repository.NodeStateUpdate{\n   139→\t\t\tHostname:  node.Hostname,\n   140→\t\t\tCluster:   req.Cluster,\n   141→\t\t\tNodeState: &nodeState,\n   142→\t\t})\n   143→\t}\n   144→\n   145→\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n   146→\t\tcclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n   147→\t}\n   148→\n   149→\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n   150→}\n   151→"}]},"uuid":"9c0cfab7-e9bd-4969-b758-0f23af3316fb","timestamp":"2026-03-16T10:18:52.504Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"38f8eff9-fb41-4be7-899f-5b163e75c8a1","timestamp":"2026-03-16T10:18:52.723Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"38f8eff9-fb41-4be7-899f-5b163e75c8a1","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:52.749Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_014RpU7fRmzbTvy6u5LUG6sy","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JosVmFqzYDA93aNdHQs2th","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/user.go","limit":200},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":32692,"cache_read_input_tokens":42461,"cache_creation":{"ephemeral_5m_input_tokens":32692,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6uZ2XXuQVqpSoyuCh","uuid":"d8545824-1bd7-405d-96bf-deb7db5c79cb"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"16133c4f-e6f2-4137-8f84-82593c680f07","timestamp":"2026-03-16T10:18:52.749Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"16133c4f-e6f2-4137-8f84-82593c680f07","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JosVmFqzYDA93aNdHQs2th","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"encoding/json\"\n    10→\t\"fmt\"\n    11→\t\"net/http\"\n    12→\n    13→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    15→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    16→\t\"github.com/go-chi/chi/v5\"\n    17→)\n    18→\n    19→type APIReturnedUser struct {\n    20→\tUsername string   `json:\"username\"`\n    21→\tName     string   `json:\"name\"`\n    22→\tRoles    []string `json:\"roles\"`\n    23→\tEmail    string   `json:\"email\"`\n    24→\tProjects []string `json:\"projects\"`\n    25→}\n    26→\n    27→// getUsers godoc\n    28→// @summary     Returns a list of users\n    29→// @tags User\n    30→// @description Returns a JSON-encoded list of users.\n    31→// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n    32→// @produce     json\n    33→// @param       not-just-user query bool true \"If returned list should contain all users or only users with additional special roles\"\n    34→// @success     200     {array} api.APIReturnedUser \"List of users returned successfully\"\n    35→// @failure     400     {string} string             \"Bad Request\"\n    36→// @failure     401     {string} string             \"Unauthorized\"\n    37→// @failure     403     {string} string             \"Forbidden\"\n    38→// @failure     500     {string} string             \"Internal Server Error\"\n    39→// @security    ApiKeyAuth\n    40→// @router      /api/users/ [get]\n    41→func (api *RestAPI) getUsers(rw http.ResponseWriter, r *http.Request) {\n    42→\t// SecuredCheck() only worked with TokenAuth: Removed\n    43→\n    44→\tif user := repository.GetUserFromContext(r.Context()); !user.HasRole(schema.RoleAdmin) {\n    45→\t\thandleError(fmt.Errorf(\"only admins are allowed to fetch a list of users\"), http.StatusForbidden, rw)\n    46→\t\treturn\n    47→\t}\n    48→\n    49→\tusers, err := repository.GetUserRepository().ListUsers(r.URL.Query().Get(\"not-just-user\") == \"true\")\n    50→\tif err != nil {\n    51→\t\thandleError(fmt.Errorf(\"listing users failed: %w\", err), http.StatusInternalServerError, rw)\n    52→\t\treturn\n    53→\t}\n    54→\n    55→\trw.Header().Set(\"Content-Type\", \"application/json\")\n    56→\tif err := json.NewEncoder(rw).Encode(users); err != nil {\n    57→\t\tcclog.Errorf(\"Failed to encode users response: %v\", err)\n    58→\t}\n    59→}\n    60→\n    61→// updateUser godoc\n    62→// @summary     Update user roles and projects\n    63→// @tags User\n    64→// @description Allows admins to add/remove roles and projects for a user\n    65→// @produce     plain\n    66→// @param       id          path   string  true  \"Username\"\n    67→// @param       add-role    formData string false \"Role to add\"\n    68→// @param       remove-role formData string false \"Role to remove\"\n    69→// @param       add-project formData string false \"Project to add\"\n    70→// @param       remove-project formData string false \"Project to remove\"\n    71→// @success     200     {string} string \"Success message\"\n    72→// @failure     403     {object} api.ErrorResponse \"Forbidden\"\n    73→// @failure     422     {object} api.ErrorResponse \"Unprocessable Entity\"\n    74→// @security    ApiKeyAuth\n    75→// @router      /api/user/{id} [post]\n    76→func (api *RestAPI) updateUser(rw http.ResponseWriter, r *http.Request) {\n    77→\t// SecuredCheck() only worked with TokenAuth: Removed\n    78→\n    79→\tif user := repository.GetUserFromContext(r.Context()); !user.HasRole(schema.RoleAdmin) {\n    80→\t\thandleError(fmt.Errorf(\"only admins are allowed to update a user\"), http.StatusForbidden, rw)\n    81→\t\treturn\n    82→\t}\n    83→\n    84→\t// Get Values\n    85→\tnewrole := r.FormValue(\"add-role\")\n    86→\tdelrole := r.FormValue(\"remove-role\")\n    87→\tnewproj := r.FormValue(\"add-project\")\n    88→\tdelproj := r.FormValue(\"remove-project\")\n    89→\n    90→\trw.Header().Set(\"Content-Type\", \"application/json\")\n    91→\n    92→\t// Handle role updates\n    93→\tif newrole != \"\" {\n    94→\t\tif err := repository.GetUserRepository().AddRole(r.Context(), chi.URLParam(r, \"id\"), newrole); err != nil {\n    95→\t\t\thandleError(fmt.Errorf(\"adding role failed: %w\", err), http.StatusUnprocessableEntity, rw)\n    96→\t\t\treturn\n    97→\t\t}\n    98→\t\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{Message: \"Add Role Success\"}); err != nil {\n    99→\t\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n   100→\t\t}\n   101→\t} else if delrole != \"\" {\n   102→\t\tif err := repository.GetUserRepository().RemoveRole(r.Context(), chi.URLParam(r, \"id\"), delrole); err != nil {\n   103→\t\t\thandleError(fmt.Errorf(\"removing role failed: %w\", err), http.StatusUnprocessableEntity, rw)\n   104→\t\t\treturn\n   105→\t\t}\n   106→\t\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{Message: \"Remove Role Success\"}); err != nil {\n   107→\t\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n   108→\t\t}\n   109→\t} else if newproj != \"\" {\n   110→\t\tif err := repository.GetUserRepository().AddProject(r.Context(), chi.URLParam(r, \"id\"), newproj); err != nil {\n   111→\t\t\thandleError(fmt.Errorf(\"adding project failed: %w\", err), http.StatusUnprocessableEntity, rw)\n   112→\t\t\treturn\n   113→\t\t}\n   114→\t\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{Message: \"Add Project Success\"}); err != nil {\n   115→\t\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n   116→\t\t}\n   117→\t} else if delproj != \"\" {\n   118→\t\tif err := repository.GetUserRepository().RemoveProject(r.Context(), chi.URLParam(r, \"id\"), delproj); err != nil {\n   119→\t\t\thandleError(fmt.Errorf(\"removing project failed: %w\", err), http.StatusUnprocessableEntity, rw)\n   120→\t\t\treturn\n   121→\t\t}\n   122→\t\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{Message: \"Remove Project Success\"}); err != nil {\n   123→\t\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n   124→\t\t}\n   125→\t} else {\n   126→\t\thandleError(fmt.Errorf(\"no operation specified: must provide add-role, remove-role, add-project, or remove-project\"), http.StatusBadRequest, rw)\n   127→\t}\n   128→}\n   129→\n   130→// createUser godoc\n   131→// @summary     Create a new user\n   132→// @tags User\n   133→// @description Creates a new user with specified credentials and role\n   134→// @produce     plain\n   135→// @param       username formData string true  \"Username\"\n   136→// @param       password formData string false \"Password (not required for API users)\"\n   137→// @param       role     formData string true  \"User role\"\n   138→// @param       name     formData string false \"Full name\"\n   139→// @param       email    formData string false \"Email address\"\n   140→// @param       project  formData string false \"Project (required for managers)\"\n   141→// @success     200     {string} string \"Success message\"\n   142→// @failure     400     {object} api.ErrorResponse \"Bad Request\"\n   143→// @failure     403     {object} api.ErrorResponse \"Forbidden\"\n   144→// @failure     422     {object} api.ErrorResponse \"Unprocessable Entity\"\n   145→// @security    ApiKeyAuth\n   146→// @router      /api/users/ [post]\n   147→func (api *RestAPI) createUser(rw http.ResponseWriter, r *http.Request) {\n   148→\t// SecuredCheck() only worked with TokenAuth: Removed\n   149→\n   150→\trw.Header().Set(\"Content-Type\", \"text/plain\")\n   151→\tme := repository.GetUserFromContext(r.Context())\n   152→\tif !me.HasRole(schema.RoleAdmin) {\n   153→\t\thandleError(fmt.Errorf(\"only admins are allowed to create new users\"), http.StatusForbidden, rw)\n   154→\t\treturn\n   155→\t}\n   156→\n   157→\tusername, password, role, name, email, project := r.FormValue(\"username\"),\n   158→\t\tr.FormValue(\"password\"), r.FormValue(\"role\"), r.FormValue(\"name\"),\n   159→\t\tr.FormValue(\"email\"), r.FormValue(\"project\")\n   160→\n   161→\t// Validate username length\n   162→\tif len(username) == 0 || len(username) > 100 {\n   163→\t\thandleError(fmt.Errorf(\"username must be between 1 and 100 characters\"), http.StatusBadRequest, rw)\n   164→\t\treturn\n   165→\t}\n   166→\n   167→\tif len(password) == 0 && role != schema.GetRoleString(schema.RoleAPI) {\n   168→\t\thandleError(fmt.Errorf(\"only API users are allowed to have a blank password (login will be impossible)\"), http.StatusBadRequest, rw)\n   169→\t\treturn\n   170→\t}\n   171→\n   172→\tif len(project) != 0 && role != schema.GetRoleString(schema.RoleManager) {\n   173→\t\thandleError(fmt.Errorf(\"only managers require a project (can be changed later)\"), http.StatusBadRequest, rw)\n   174→\t\treturn\n   175→\t} else if len(project) == 0 && role == schema.GetRoleString(schema.RoleManager) {\n   176→\t\thandleError(fmt.Errorf(\"managers require a project to manage (can be changed later)\"), http.StatusBadRequest, rw)\n   177→\t\treturn\n   178→\t}\n   179→\n   180→\tif err := repository.GetUserRepository().AddUser(&schema.User{\n   181→\t\tUsername: username,\n   182→\t\tName:     name,\n   183→\t\tPassword: password,\n   184→\t\tEmail:    email,\n   185→\t\tProjects: []string{project},\n   186→\t\tRoles:    []string{role},\n   187→\t}); err != nil {\n   188→\t\thandleError(fmt.Errorf(\"adding user failed: %w\", err), http.StatusUnprocessableEntity, rw)\n   189→\t\treturn\n   190→\t}\n   191→\n   192→\tfmt.Fprintf(rw, \"User %v successfully created!\\n\", username)\n   193→}\n   194→\n   195→// deleteUser godoc\n   196→// @summary     Delete a user\n   197→// @tags User\n   198→// @description Deletes a user from the system\n   199→// @produce     plain\n   200→// @param       username formData string true \"Username to delete\""}]},"uuid":"cfb5b7b8-055b-4956-adeb-e63317b9b0c9","timestamp":"2026-03-16T10:18:52.751Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"7d4200d1-0800-4d5c-be33-f38c9788a1c2","timestamp":"2026-03-16T10:18:52.762Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"c19e9244-b2e7-4f27-b3b5-14dc88e3b938","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QLb9mfXyhKSD5PdVWp1vgm","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"math\"\n    11→\t\"time\"\n    12→\n    13→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    14→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    16→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    17→\tsq \"github.com/Masterminds/squirrel\"\n    18→\t\"github.com/go-co-op/gocron/v2\"\n    19→)\n    20→\n    21→func RegisterFootprintWorker() {\n    22→\tvar frequency string\n    23→\tif Keys.FootprintWorker != \"\" {\n    24→\t\tfrequency = Keys.FootprintWorker\n    25→\t} else {\n    26→\t\tfrequency = \"10m\"\n    27→\t}\n    28→\n    29→\td, err := parseDuration(frequency)\n    30→\tif err != nil {\n    31→\t\tcclog.Errorf(\"RegisterFootprintWorker: %v\", err)\n    32→\t\treturn\n    33→\t}\n    34→\n    35→\tcclog.Infof(\"Register Footprint Update service with %s interval\", frequency)\n    36→\n    37→\ts.NewJob(gocron.DurationJob(d),\n    38→\t\tgocron.NewTask(\n    39→\t\t\tfunc() {\n    40→\t\t\t\ts := time.Now()\n    41→\t\t\t\tc := 0\n    42→\t\t\t\tce := 0\n    43→\t\t\t\tcl := 0\n    44→\t\t\t\tcclog.Infof(\"Update Footprints started at %s\", s.Format(time.RFC3339))\n    45→\n    46→\t\t\t\tfor _, cluster := range archive.Clusters {\n    47→\t\t\t\t\tsCluster := time.Now()\n    48→\t\t\t\t\tjobs, err := jobRepo.FindRunningJobs(cluster.Name)\n    49→\t\t\t\t\tif err != nil {\n    50→\t\t\t\t\t\tcontinue\n    51→\t\t\t\t\t}\n    52→\t\t\t\t\t// NOTE: Additional SubCluster Loop Could Allow For Limited List Of Footprint-Metrics Only.\n    53→\t\t\t\t\t//       - Chunk-Size Would Then Be 'SubCluster' (Running Jobs, Transactions) as Lists Can Change Within SCs\n    54→\t\t\t\t\t//       - Would Require Review of 'updateFootprint' Usage (Logic Could Possibly Be Included Here Completely)\n    55→\t\t\t\t\tallMetrics := make([]string, 0)\n    56→\t\t\t\t\tmetricConfigs := archive.GetCluster(cluster.Name).MetricConfig\n    57→\t\t\t\t\tfor _, mc := range metricConfigs {\n    58→\t\t\t\t\t\tallMetrics = append(allMetrics, mc.Name)\n    59→\t\t\t\t\t}\n    60→\n    61→\t\t\t\t\tpendingStatements := []sq.UpdateBuilder{}\n    62→\n    63→\t\t\t\t\tfor _, job := range jobs {\n    64→\t\t\t\t\t\tcclog.Debugf(\"Prepare job %d\", job.JobID)\n    65→\t\t\t\t\t\tcl++\n    66→\n    67→\t\t\t\t\t\tsJob := time.Now()\n    68→\n    69→\t\t\t\t\t\tms, err := metricdispatch.GetMetricDataRepo(job.Cluster, job.SubCluster)\n    70→\t\t\t\t\t\tif err != nil {\n    71→\t\t\t\t\t\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n    72→\t\t\t\t\t\t\t\tjob.Cluster, job.SubCluster, err.Error())\n    73→\t\t\t\t\t\t\tcontinue\n    74→\t\t\t\t\t\t}\n    75→\n    76→\t\t\t\t\t\tjobStats, err := ms.LoadStats(job, allMetrics, context.Background())\n    77→\t\t\t\t\t\tif err != nil {\n    78→\t\t\t\t\t\t\tcclog.Errorf(\"error wile loading job data stats for footprint update: %v\", err)\n    79→\t\t\t\t\t\t\tce++\n    80→\t\t\t\t\t\t\tcontinue\n    81→\t\t\t\t\t\t}\n    82→\n    83→\t\t\t\t\t\tjob.Statistics = make(map[string]schema.JobStatistics)\n    84→\n    85→\t\t\t\t\t\tfor _, metric := range allMetrics {\n    86→\t\t\t\t\t\t\tavg, min, max := 0.0, 0.0, 0.0\n    87→\t\t\t\t\t\t\tdata, ok := jobStats[metric] // JobStats[Metric1:[Hostname1:[Stats], Hostname2:[Stats], ...], Metric2[...] ...]\n    88→\t\t\t\t\t\t\tif ok {\n    89→\t\t\t\t\t\t\t\tfor _, res := range job.Resources {\n    90→\t\t\t\t\t\t\t\t\thostStats, ok := data[res.Hostname]\n    91→\t\t\t\t\t\t\t\t\tif ok {\n    92→\t\t\t\t\t\t\t\t\t\tavg += hostStats.Avg\n    93→\t\t\t\t\t\t\t\t\t\tmin = math.Min(min, hostStats.Min)\n    94→\t\t\t\t\t\t\t\t\t\tmax = math.Max(max, hostStats.Max)\n    95→\t\t\t\t\t\t\t\t\t}\n    96→\n    97→\t\t\t\t\t\t\t\t}\n    98→\t\t\t\t\t\t\t}\n    99→\n   100→\t\t\t\t\t\t\t// Add values rounded to 2 digits: repo.LoadStats may return unrounded\n   101→\t\t\t\t\t\t\tjob.Statistics[metric] = schema.JobStatistics{\n   102→\t\t\t\t\t\t\t\tUnit: schema.Unit{\n   103→\t\t\t\t\t\t\t\t\tPrefix: archive.GetMetricConfig(job.Cluster, metric).Unit.Prefix,\n   104→\t\t\t\t\t\t\t\t\tBase:   archive.GetMetricConfig(job.Cluster, metric).Unit.Base,\n   105→\t\t\t\t\t\t\t\t},\n   106→\t\t\t\t\t\t\t\tAvg: (math.Round((avg/float64(job.NumNodes))*100) / 100),\n   107→\t\t\t\t\t\t\t\tMin: (math.Round(min*100) / 100),\n   108→\t\t\t\t\t\t\t\tMax: (math.Round(max*100) / 100),\n   109→\t\t\t\t\t\t\t}\n   110→\t\t\t\t\t\t}\n   111→\n   112→\t\t\t\t\t\t// Build Statement per Job, Add to Pending Array\n   113→\t\t\t\t\t\tstmt := sq.Update(\"job\")\n   114→\t\t\t\t\t\tstmt, err = jobRepo.UpdateFootprint(stmt, job)\n   115→\t\t\t\t\t\tif err != nil {\n   116→\t\t\t\t\t\t\tcclog.Errorf(\"update job (dbid: %d) statement build failed at footprint step: %s\", *job.ID, err.Error())\n   117→\t\t\t\t\t\t\tce++\n   118→\t\t\t\t\t\t\tcontinue\n   119→\t\t\t\t\t\t}\n   120→\t\t\t\t\t\tstmt = stmt.Where(\"job.id = ?\", job.ID)\n   121→\n   122→\t\t\t\t\t\tpendingStatements = append(pendingStatements, stmt)\n   123→\t\t\t\t\t\tcclog.Debugf(\"Job %d took %s\", job.JobID, time.Since(sJob))\n   124→\t\t\t\t\t}\n   125→\n   126→\t\t\t\t\tt, err := jobRepo.TransactionInit()\n   127→\t\t\t\t\tif err != nil {\n   128→\t\t\t\t\t\tcclog.Errorf(\"failed TransactionInit %v\", err)\n   129→\t\t\t\t\t\tcclog.Errorf(\"skipped %d transactions for cluster %s\", len(pendingStatements), cluster.Name)\n   130→\t\t\t\t\t\tce += len(pendingStatements)\n   131→\t\t\t\t\t} else {\n   132→\t\t\t\t\t\tfor _, ps := range pendingStatements {\n   133→\t\t\t\t\t\t\tquery, args, err := ps.ToSql()\n   134→\t\t\t\t\t\t\tif err != nil {\n   135→\t\t\t\t\t\t\t\tcclog.Errorf(\"failed in ToSQL conversion: %v\", err)\n   136→\t\t\t\t\t\t\t\tce++\n   137→\t\t\t\t\t\t\t} else {\n   138→\t\t\t\t\t\t\t\t// args...: Footprint-JSON, Energyfootprint-JSON, TotalEnergy, JobID\n   139→\t\t\t\t\t\t\t\tjobRepo.TransactionAdd(t, query, args...)\n   140→\t\t\t\t\t\t\t\tc++\n   141→\t\t\t\t\t\t\t}\n   142→\t\t\t\t\t\t}\n   143→\t\t\t\t\t\tjobRepo.TransactionEnd(t)\n   144→\t\t\t\t\t}\n   145→\t\t\t\t\tcclog.Debugf(\"Finish Cluster %s, took %s\\n\", cluster.Name, time.Since(sCluster))\n   146→\t\t\t\t}\n   147→\t\t\t\tcclog.Infof(\"Updating %d (of %d; Skipped %d) Footprints is done and took %s\", c, cl, ce, time.Since(s))\n   148→\t\t\t}))\n   149→}\n   150→"}]},"uuid":"456413bc-a565-41c3-8e87-0176895a1829","timestamp":"2026-03-16T10:18:53.748Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"62e873a3-baee-4dfc-bd4b-7561978a26db","timestamp":"2026-03-16T10:18:53.749Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"64a11e98-8055-4b1b-96dc-12e53e891a63","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AgTvRhCb8gogxUyXufTPVG","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"runtime\"\n    10→\n    11→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    13→\t\"github.com/go-co-op/gocron/v2\"\n    14→)\n    15→\n    16→func RegisterStopJobsExceedTime() {\n    17→\tcclog.Info(\"Register undead jobs service\")\n    18→\n    19→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(3, 0, 0))),\n    20→\t\tgocron.NewTask(\n    21→\t\t\tfunc() {\n    22→\t\t\t\terr := jobRepo.StopJobsExceedingWalltimeBy(config.Keys.StopJobsExceedingWalltime)\n    23→\t\t\t\tif err != nil {\n    24→\t\t\t\t\tcclog.Warnf(\"Error while looking for jobs exceeding their walltime: %s\", err.Error())\n    25→\t\t\t\t}\n    26→\t\t\t\truntime.GC()\n    27→\t\t\t}))\n    28→}\n    29→"}]},"uuid":"03034ea9-4ee9-4f15-8b41-a1bc34ca5277","timestamp":"2026-03-16T10:18:53.886Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"4c5ceac1-a9ff-4333-8da3-a644badda1f2","timestamp":"2026-03-16T10:18:53.917Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"403384bf-dcc2-4280-82ff-b68ed75734cd","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01McQ9T6QxDeit77LG46688e","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package repository provides data access and persistence layer for ClusterCockpit.\n     7→//\n     8→// This file implements tag management functionality for job categorization and classification.\n     9→// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n    10→// (via tagger plugins). The implementation includes role-based access control through\n    11→// tag scopes and maintains bidirectional consistency between the SQL database and\n    12→// the file-based job archive.\n    13→//\n    14→// Database Schema:\n    15→//\n    16→//\tCREATE TABLE tag (\n    17→//\t    id INTEGER PRIMARY KEY AUTOINCREMENT,\n    18→//\t    tag_type VARCHAR(255) NOT NULL,\n    19→//\t    tag_name VARCHAR(255) NOT NULL,\n    20→//\t    tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n    21→//\t    CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n    22→//\t);\n    23→//\n    24→//\tCREATE TABLE jobtag (\n    25→//\t    job_id INTEGER,\n    26→//\t    tag_id INTEGER,\n    27→//\t    PRIMARY KEY (job_id, tag_id),\n    28→//\t    FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n    29→//\t    FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n    30→//\t);\n    31→//\n    32→// The jobtag junction table enables many-to-many relationships between jobs and tags.\n    33→// CASCADE deletion ensures referential integrity when jobs or tags are removed.\n    34→package repository\n    35→\n    36→import (\n    37→\t\"errors\"\n    38→\t\"fmt\"\n    39→\t\"strings\"\n    40→\n    41→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    42→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    43→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    44→\tsq \"github.com/Masterminds/squirrel\"\n    45→)\n    46→\n    47→// Tag Scope Rules:\n    48→//\n    49→// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n    50→//\n    51→//  1. \"global\" - Visible to all users, can be used by anyone\n    52→//     Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n    53→//\n    54→//  2. \"private\" - Only visible to the creating user\n    55→//     Example: Personal notes like \"needs-review\", \"interesting-case\"\n    56→//\n    57→//  3. \"admin\" - Only visible to users with admin or support roles\n    58→//     Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n    59→//\n    60→// Authorization Rules:\n    61→//   - Regular users can only create/see \"global\" and their own \"private\" tags\n    62→//   - Admin/Support can create/see all scopes including \"admin\" tags\n    63→//   - Users can only add tags to jobs they have permission to view\n    64→//   - Tag scope is enforced at query time in GetTags() and CountTags()\n    65→\n    66→// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n    67→// Requires user authentication for security checks.\n    68→//\n    69→// The user must have permission to view the job. Tag visibility is determined by scope:\n    70→//   - \"global\" tags: visible to all users\n    71→//   - \"private\" tags: only visible to the tag creator\n    72→//   - \"admin\" tags: only visible to admin/support users\n    73→func (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n    74→\tj, err := r.FindByIDWithUser(user, job)\n    75→\tif err != nil {\n    76→\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n    77→\t\treturn nil, err\n    78→\t}\n    79→\n    80→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n    81→\t\treturn r.GetTags(user, &job)\n    82→\t})\n    83→}\n    84→\n    85→// AddTagDirect adds a tag without user security checks.\n    86→// Use only for internal/admin operations.\n    87→func (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n    88→\tj, err := r.FindByIDDirect(job)\n    89→\tif err != nil {\n    90→\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n    91→\t\treturn nil, err\n    92→\t}\n    93→\n    94→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n    95→\t\treturn r.GetTagsDirect(&job)\n    96→\t})\n    97→}\n    98→\n    99→// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n   100→// Requires user authentication for security checks. Used by GraphQL API.\n   101→func (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n   102→\tj, err := r.FindByIDWithUser(user, job)\n   103→\tif err != nil {\n   104→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n   105→\t\treturn nil, err\n   106→\t}\n   107→\n   108→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n   109→\n   110→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   111→\t\ts, _, _ := q.ToSql()\n   112→\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n   113→\t\treturn nil, err\n   114→\t}\n   115→\n   116→\ttags, err := r.GetTags(user, &job)\n   117→\tif err != nil {\n   118→\t\tcclog.Warn(\"Error while getting tags for job\")\n   119→\t\treturn nil, err\n   120→\t}\n   121→\n   122→\tarchiveTags, err := r.getArchiveTags(&job)\n   123→\tif err != nil {\n   124→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n   125→\t\treturn nil, err\n   126→\t}\n   127→\n   128→\treturn tags, archive.UpdateTags(j, archiveTags)\n   129→}\n   130→\n   131→// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n   132→// Requires user authentication for security checks. Used by REST API.\n   133→func (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n   134→\t// Get Tag ID to delete\n   135→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   136→\tif !exists {\n   137→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   138→\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   139→\t}\n   140→\n   141→\t// Get Job\n   142→\tj, err := r.FindByIDWithUser(user, job)\n   143→\tif err != nil {\n   144→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n   145→\t\treturn nil, err\n   146→\t}\n   147→\n   148→\t// Handle Delete\n   149→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n   150→\n   151→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   152→\t\ts, _, _ := q.ToSql()\n   153→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n   154→\t\treturn nil, err\n   155→\t}\n   156→\n   157→\ttags, err := r.GetTags(user, &job)\n   158→\tif err != nil {\n   159→\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n   160→\t\treturn nil, err\n   161→\t}\n   162→\n   163→\tarchiveTags, err := r.getArchiveTags(&job)\n   164→\tif err != nil {\n   165→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n   166→\t\treturn nil, err\n   167→\t}\n   168→\n   169→\treturn tags, archive.UpdateTags(j, archiveTags)\n   170→}\n   171→\n   172→// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n   173→//\n   174→// This function is called asynchronously (via goroutine) after removing a tag from the database\n   175→// to synchronize the file-based job archive with the database state. Errors are logged but not\n   176→// returned since this runs in the background.\n   177→//\n   178→// Parameters:\n   179→//   - jobIds: Database IDs of all jobs that had the deleted tag\n   180→//\n   181→// Implementation note: Each job is processed individually to handle partial failures gracefully.\n   182→// If one job fails to update, others will still be processed.\n   183→func (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n   184→\tfor _, j := range jobIds {\n   185→\t\ttags, err := r.getArchiveTags(&j)\n   186→\t\tif err != nil {\n   187→\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n   188→\t\t\tcontinue\n   189→\t\t}\n   190→\n   191→\t\tjob, err := r.FindByIDDirect(j)\n   192→\t\tif err != nil {\n   193→\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n   194→\t\t\tcontinue\n   195→\t\t}\n   196→\n   197→\t\tarchive.UpdateTags(job, tags)\n   198→\t}\n   199→}\n   200→\n   201→// Removes a tag from db by tag info\n   202→// Used by REST API. Does not update tagged jobs in Job archive.\n   203→func (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n   204→\t// Get Tag ID to delete\n   205→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   206→\tif !exists {\n   207→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   208→\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   209→\t}\n   210→\n   211→\treturn r.RemoveTagByID(tagID)\n   212→}\n   213→\n   214→// Removes a tag from db by tag id\n   215→// Used by GraphQL API.\n   216→func (r *JobRepository) RemoveTagByID(tagID int64) error {\n   217→\tjobIds, err := r.FindJobIdsByTag(tagID)\n   218→\tif err != nil {\n   219→\t\treturn err\n   220→\t}\n   221→\n   222→\t// Handle Delete JobTagTable\n   223→\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n   224→\n   225→\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n   226→\t\ts, _, _ := qJobTag.ToSql()\n   227→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n   228→\t\treturn err\n   229→\t}\n   230→\n   231→\t// Handle Delete TagTable\n   232→\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n   233→\n   234→\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n   235→\t\ts, _, _ := qTag.ToSql()\n   236→\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n   237→\t\treturn err\n   238→\t}\n   239→\n   240→\t// asynchronously update archive jobs\n   241→\tgo r.removeTagFromArchiveJobs(jobIds)\n   242→\n   243→\treturn nil\n   244→}\n   245→\n   246→// CreateTag creates a new tag with the specified type, name, and scope.\n   247→// Returns the database ID of the newly created tag.\n   248→//\n   249→// Scope defaults to \"global\" if empty string is provided.\n   250→// Valid scopes: \"global\", \"private\", \"admin\"\n   251→//\n   252→// Example:\n   253→//\n   254→//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\n   255→func (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n   256→\t// Default to \"Global\" scope if none defined\n   257→\tif tagScope == \"\" {\n   258→\t\ttagScope = \"global\"\n   259→\t}\n   260→\n   261→\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n   262→\n   263→\tres, err := q.RunWith(r.stmtCache).Exec()\n   264→\tif err != nil {\n   265→\t\ts, _, _ := q.ToSql()\n   266→\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n   267→\t\treturn 0, err\n   268→\t}\n   269→\n   270→\treturn res.LastInsertId()\n   271→}\n   272→\n   273→// CountTags returns all tags visible to the user and the count of jobs for each tag.\n   274→// Applies scope-based filtering to respect tag visibility rules.\n   275→//\n   276→// Returns:\n   277→//   - tags: slice of tags the user can see\n   278→//   - counts: map of tag name to job count\n   279→//   - err: any error encountered\n   280→func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n   281→\ttags = make([]schema.Tag, 0, 100)\n   282→\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n   283→\tif err != nil {\n   284→\t\treturn nil, nil, err\n   285→\t}\n   286→\tdefer xrows.Close()\n   287→\n   288→\tfor xrows.Next() {\n   289→\t\tvar t schema.Tag\n   290→\t\tif err = xrows.StructScan(&t); err != nil {\n   291→\t\t\treturn nil, nil, err\n   292→\t\t}\n   293→\n   294→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n   295→\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n   296→\t\tif err != nil {\n   297→\t\t\treturn nil, nil, err\n   298→\t\t}\n   299→\t\tif readable {\n   300→\t\t\ttags = append(tags, t)\n   301→\t\t}\n   302→\t}\n   303→\n   304→\tif err := xrows.Err(); err != nil {\n   305→\t\treturn nil, nil, err\n   306→\t}\n   307→\n   308→\t// Query and Count Jobs with attached Tags\n   309→\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n   310→\t\tFrom(\"tag t\").\n   311→\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n   312→\t\tGroupBy(\"t.tag_type, t.tag_name\")\n   313→\n   314→\t// Build scope list for filtering\n   315→\tvar scopeBuilder strings.Builder\n   316→\tscopeBuilder.WriteString(`\"global\"`)\n   317→\tif user != nil {\n   318→\t\tscopeBuilder.WriteString(`,\"`)\n   319→\t\tscopeBuilder.WriteString(user.Username)\n   320→\t\tscopeBuilder.WriteString(`\"`)\n   321→\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n   322→\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n   323→\t\t}\n   324→\t}\n   325→\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n   326→\n   327→\t// Handle Job Ownership\n   328→\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n   329→\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n   330→\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n   331→\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n   332→\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n   333→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n   334→\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n   335→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n   336→\t}\n   337→\n   338→\trows, err := q.RunWith(r.stmtCache).Query()\n   339→\tif err != nil {\n   340→\t\treturn nil, nil, err\n   341→\t}\n   342→\tdefer rows.Close()\n   343→\n   344→\tcounts = make(map[string]int)\n   345→\tfor rows.Next() {\n   346→\t\tvar tagType string\n   347→\t\tvar tagName string\n   348→\t\tvar tagID int\n   349→\t\tvar count int\n   350→\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n   351→\t\t\treturn nil, nil, err\n   352→\t\t}\n   353→\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n   354→\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n   355→\t}\n   356→\terr = rows.Err()\n   357→\n   358→\treturn tags, counts, err\n   359→}\n   360→\n   361→var (\n   362→\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n   363→\tErrTagNotFound = errors.New(\"the tag does not exist\")\n   364→\n   365→\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n   366→\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n   367→\n   368→\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n   369→\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n   370→\n   371→\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n   372→\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n   373→\n   374→\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n   375→\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n   376→\n   377→\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n   378→\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n   379→)\n   380→\n   381→// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n   382→//\n   383→// This function performs three operations atomically:\n   384→//  1. Inserts the job-tag association into the jobtag junction table\n   385→//  2. Retrieves the updated tag list for the job (using the provided getTags callback)\n   386→//  3. Updates the job archive with the new tags to maintain database-archive consistency\n   387→//\n   388→// Parameters:\n   389→//   - jobId: Database ID of the job\n   390→//   - tagId: Database ID of the tag to associate\n   391→//   - job: Full job object needed for archive update\n   392→//   - getTags: Callback function to retrieve updated tags (allows different security contexts)\n   393→//\n   394→// Returns the complete updated tag list for the job or an error.\n   395→//\n   396→// Note: This function does NOT validate tag scope permissions - callers must perform\n   397→// authorization checks before invoking this helper.\n   398→func (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n   399→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n   400→\n   401→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   402→\t\ts, _, _ := q.ToSql()\n   403→\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n   404→\t\treturn nil, err\n   405→\t}\n   406→\n   407→\ttags, err := getTags()\n   408→\tif err != nil {\n   409→\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n   410→\t\treturn nil, err\n   411→\t}\n   412→\n   413→\tarchiveTags, err := r.getArchiveTags(&jobID)\n   414→\tif err != nil {\n   415→\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n   416→\t\treturn nil, err\n   417→\t}\n   418→\n   419→\treturn tags, archive.UpdateTags(job, archiveTags)\n   420→}\n   421→\n   422→// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n   423→// If such a tag does not yet exist, it is created.\n   424→func (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n   425→\t// Default to \"Global\" scope if none defined\n   426→\tif tagScope == \"\" {\n   427→\t\ttagScope = \"global\"\n   428→\t}\n   429→\n   430→\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n   431→\tif err != nil {\n   432→\t\treturn 0, err\n   433→\t}\n   434→\tif !writable {\n   435→\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n   436→\t}\n   437→\n   438→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   439→\tif !exists {\n   440→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n   441→\t\tif err != nil {\n   442→\t\t\treturn 0, err\n   443→\t\t}\n   444→\t}\n   445→\n   446→\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n   447→\t\treturn 0, err\n   448→\t}\n   449→\n   450→\treturn tagID, nil\n   451→}\n   452→\n   453→func (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n   454→\ttagScope := \"global\"\n   455→\n   456→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   457→\tif !exists {\n   458→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n   459→\t\tif err != nil {\n   460→\t\t\treturn 0, err\n   461→\t\t}\n   462→\t}\n   463→\n   464→\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n   465→\n   466→\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n   467→\t\treturn 0, err\n   468→\t}\n   469→\n   470→\treturn tagID, nil\n   471→}\n   472→\n   473→func (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n   474→\tvar id int64\n   475→\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n   476→\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n   477→\t\tWhere(\"tag.tag_name = ?\", tagName)\n   478→\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n   479→\tif err != nil {\n   480→\t\treturn false\n   481→\t} else {\n   482→\t\treturn true\n   483→\t}\n   484→}\n   485→\n   486→// TagID returns the database id of the tag with the specified type and name.\n   487→func (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n   488→\texists = true\n   489→\tif err := sq.Select(\"id\").From(\"tag\").\n   490→\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n   491→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n   492→\t\texists = false\n   493→\t}\n   494→\treturn\n   495→}\n   496→\n   497→// TagInfo returns the database infos of the tag with the specified id.\n   498→func (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n   499→\texists = true\n   500→\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n   501→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n   502→\t\texists = false\n   503→\t}\n   504→\treturn\n   505→}\n   506→\n   507→// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\n   508→func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n   509→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n   510→\tif job != nil {\n   511→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n   512→\t}\n   513→\n   514→\trows, err := q.RunWith(r.stmtCache).Query()\n   515→\tif err != nil {\n   516→\t\ts, _, _ := q.ToSql()\n   517→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n   518→\t\treturn nil, err\n   519→\t}\n   520→\tdefer rows.Close()\n   521→\n   522→\ttags := make([]*schema.Tag, 0)\n   523→\tfor rows.Next() {\n   524→\t\ttag := &schema.Tag{}\n   525→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n   526→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n   527→\t\t\treturn nil, err\n   528→\t\t}\n   529→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n   530→\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n   531→\t\tif err != nil {\n   532→\t\t\treturn nil, err\n   533→\t\t}\n   534→\t\tif readable {\n   535→\t\t\ttags = append(tags, tag)\n   536→\t\t}\n   537→\t}\n   538→\n   539→\tif err := rows.Err(); err != nil {\n   540→\t\treturn nil, err\n   541→\t}\n   542→\n   543→\treturn tags, nil\n   544→}\n   545→\n   546→func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n   547→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n   548→\tif job != nil {\n   549→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n   550→\t}\n   551→\n   552→\trows, err := q.RunWith(r.stmtCache).Query()\n   553→\tif err != nil {\n   554→\t\ts, _, _ := q.ToSql()\n   555→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n   556→\t\treturn nil, err\n   557→\t}\n   558→\tdefer rows.Close()\n   559→\n   560→\ttags := make([]*schema.Tag, 0)\n   561→\tfor rows.Next() {\n   562→\t\ttag := &schema.Tag{}\n   563→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n   564→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n   565→\t\t\treturn nil, err\n   566→\t\t}\n   567→\t\ttags = append(tags, tag)\n   568→\t}\n   569→\n   570→\tif err := rows.Err(); err != nil {\n   571→\t\treturn nil, err\n   572→\t}\n   573→\n   574→\treturn tags, nil\n   575→}\n   576→\n   577→// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n   578→//\n   579→// This internal function is used exclusively for job archive synchronization where we need\n   580→// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n   581→// filters by scope, this returns the complete unfiltered tag list.\n   582→//\n   583→// Parameters:\n   584→//   - job: Pointer to job database ID, or nil to return all tags in the system\n   585→//\n   586→// Returns all tags without scope filtering, used only for archive operations.\n   587→//\n   588→// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\n   589→func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n   590→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n   591→\tif job != nil {\n   592→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n   593→\t}\n   594→\n   595→\trows, err := q.RunWith(r.stmtCache).Query()\n   596→\tif err != nil {\n   597→\t\ts, _, _ := q.ToSql()\n   598→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n   599→\t\treturn nil, err\n   600→\t}\n   601→\tdefer rows.Close()\n   602→\n   603→\ttags := make([]*schema.Tag, 0)\n   604→\tfor rows.Next() {\n   605→\t\ttag := &schema.Tag{}\n   606→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n   607→\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n   608→\t\t\treturn nil, err\n   609→\t\t}\n   610→\t\ttags = append(tags, tag)\n   611→\t}\n   612→\n   613→\tif err := rows.Err(); err != nil {\n   614→\t\treturn nil, err\n   615→\t}\n   616→\n   617→\treturn tags, nil\n   618→}\n   619→\n   620→func (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n   621→\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n   622→\n   623→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   624→\tif !exists {\n   625→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n   626→\t\tif err != nil {\n   627→\t\t\treturn err\n   628→\t\t}\n   629→\t}\n   630→\n   631→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n   632→\n   633→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   634→\t\ts, _, _ := q.ToSql()\n   635→\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n   636→\t\treturn err\n   637→\t}\n   638→\n   639→\treturn nil\n   640→}\n   641→\n   642→// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n   643→//\n   644→// This function implements the tag scope authorization matrix:\n   645→//\n   646→//\tScope        | Read Access                      | Write Access\n   647→//\t-------------|----------------------------------|----------------------------------\n   648→//\t\"global\"     | All users                        | Admin, Support, API-only\n   649→//\t\"admin\"      | Admin, Support                   | Admin, API-only\n   650→//\t<username>   | Owner only                       | Owner only (private tags)\n   651→//\n   652→// Parameters:\n   653→//   - user: User attempting the operation (must not be nil)\n   654→//   - operation: Either \"read\" or \"write\"\n   655→//   - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n   656→//\n   657→// Returns:\n   658→//   - pass: true if authorized, false if denied\n   659→//   - err: error only if operation is invalid or user is nil\n   660→//\n   661→// Special cases:\n   662→//   - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n   663→//   - Private tags use the username as scope, granting exclusive access to that user\n   664→func (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n   665→\tif user != nil {\n   666→\t\tswitch {\n   667→\t\tcase operation == \"write\" && scope == \"admin\":\n   668→\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n   669→\t\t\t\treturn true, nil\n   670→\t\t\t}\n   671→\t\t\treturn false, nil\n   672→\t\tcase operation == \"write\" && scope == \"global\":\n   673→\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n   674→\t\t\t\treturn true, nil\n   675→\t\t\t}\n   676→\t\t\treturn false, nil\n   677→\t\tcase operation == \"write\" && scope == user.Username:\n   678→\t\t\treturn true, nil\n   679→\t\tcase operation == \"read\" && scope == \"admin\":\n   680→\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n   681→\t\tcase operation == \"read\" && scope == \"global\":\n   682→\t\t\treturn true, nil\n   683→\t\tcase operation == \"read\" && scope == user.Username:\n   684→\t\t\treturn true, nil\n   685→\t\tdefault:\n   686→\t\t\tif operation == \"read\" || operation == \"write\" {\n   687→\t\t\t\t// No acceptable scope: deny tag\n   688→\t\t\t\treturn false, nil\n   689→\t\t\t} else {\n   690→\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n   691→\t\t\t}\n   692→\t\t}\n   693→\t} else {\n   694→\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n   695→\t}\n   696→}\n   697→"}]},"uuid":"24f743bb-f6b7-4740-81ba-80bbe330ba82","timestamp":"2026-03-16T10:18:54.661Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"fc679690-cf7e-4f11-b0bb-8bd2e3b0aa82","timestamp":"2026-03-16T10:18:54.885Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"fc679690-cf7e-4f11-b0bb-8bd2e3b0aa82","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:54.889Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01A3P6gr75foAWUNkAzA7oVj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012fdQFVceLrtsY7t3g5NiYW","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":1590,"cache_read_input_tokens":17374,"cache_creation":{"ephemeral_5m_input_tokens":1590,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7AcQ15FykJX5wRoAU","uuid":"5821928a-64f5-4494-a6ab-4062a001ad17"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"2da4ab86-6292-4c47-b96c-9472738423a3","timestamp":"2026-03-16T10:18:54.889Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"2da4ab86-6292-4c47-b96c-9472738423a3","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012fdQFVceLrtsY7t3g5NiYW","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"encoding/json\"\n    10→\t\"fmt\"\n    11→\n    12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    14→\tsq \"github.com/Masterminds/squirrel\"\n    15→)\n    16→\n    17→const NamedJobCacheInsert string = `INSERT INTO job_cache (\n    18→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n    19→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n    20→) VALUES (\n    21→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n    22→  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n    23→);`\n    24→\n    25→const NamedJobInsert string = `INSERT INTO job (\n    26→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n    27→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n    28→) VALUES (\n    29→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n    30→  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n    31→);`\n    32→\n    33→// InsertJobDirect inserts a job directly into the job table (not job_cache).\n    34→// Use this when the returned ID will be used for operations on the job table\n    35→// (e.g., adding tags), or for imported jobs that are already completed.\n    36→func (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n    37→\tr.Mutex.Lock()\n    38→\tdefer r.Mutex.Unlock()\n    39→\n    40→\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n    41→\tif err != nil {\n    42→\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n    43→\t\treturn 0, err\n    44→\t}\n    45→\tid, err := res.LastInsertId()\n    46→\tif err != nil {\n    47→\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n    48→\t\treturn 0, err\n    49→\t}\n    50→\n    51→\treturn id, nil\n    52→}\n    53→\n    54→func (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n    55→\tr.Mutex.Lock()\n    56→\tdefer r.Mutex.Unlock()\n    57→\n    58→\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n    59→\tif err != nil {\n    60→\t\tcclog.Warn(\"Error while NamedJobInsert\")\n    61→\t\treturn 0, err\n    62→\t}\n    63→\tid, err := res.LastInsertId()\n    64→\tif err != nil {\n    65→\t\tcclog.Warn(\"Error while getting last insert ID\")\n    66→\t\treturn 0, err\n    67→\t}\n    68→\n    69→\treturn id, nil\n    70→}\n    71→\n    72→func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n    73→\tr.Mutex.Lock()\n    74→\tdefer r.Mutex.Unlock()\n    75→\n    76→\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n    77→\n    78→\trows, err := query.RunWith(r.stmtCache).Query()\n    79→\tif err != nil {\n    80→\t\tcclog.Errorf(\"Error while running query %v\", err)\n    81→\t\treturn nil, err\n    82→\t}\n    83→\tdefer rows.Close()\n    84→\n    85→\tjobs := make([]*schema.Job, 0, 50)\n    86→\tfor rows.Next() {\n    87→\t\tjob, err := scanJob(rows)\n    88→\t\tif err != nil {\n    89→\t\t\tcclog.Warn(\"Error while scanning rows\")\n    90→\t\t\treturn nil, err\n    91→\t\t}\n    92→\t\tjobs = append(jobs, job)\n    93→\t}\n    94→\n    95→\t// Transfer cached jobs to main table and clear cache in a single transaction.\n    96→\ttx, err := r.DB.Beginx()\n    97→\tif err != nil {\n    98→\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n    99→\t\treturn nil, err\n   100→\t}\n   101→\tdefer tx.Rollback()\n   102→\n   103→\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n   104→\t_, err = tx.Exec(\n   105→\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n   106→\tif err != nil {\n   107→\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n   108→\t\treturn nil, err\n   109→\t}\n   110→\n   111→\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n   112→\tif err != nil {\n   113→\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n   114→\t\treturn nil, err\n   115→\t}\n   116→\n   117→\tif err := tx.Commit(); err != nil {\n   118→\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n   119→\t\treturn nil, err\n   120→\t}\n   121→\n   122→\t// Resolve correct job.id from the job table. The IDs read from job_cache\n   123→\t// are from a different auto-increment sequence and must not be used to\n   124→\t// query the job table.\n   125→\tfor _, job := range jobs {\n   126→\t\tvar newID int64\n   127→\t\tif err := sq.Select(\"job.id\").From(\"job\").\n   128→\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n   129→\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n   130→\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n   131→\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n   132→\t\t\t\tjob.JobID, job.Cluster, err)\n   133→\t\t\tcontinue\n   134→\t\t}\n   135→\t\tjob.ID = &newID\n   136→\t}\n   137→\n   138→\treturn jobs, nil\n   139→}\n   140→\n   141→// TransferCachedJobToMain moves a job from job_cache to the job table.\n   142→// Caller must hold r.Mutex. Returns the new job table ID.\n   143→func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n   144→\tres, err := r.DB.Exec(\n   145→\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n   146→\t\tcacheID)\n   147→\tif err != nil {\n   148→\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n   149→\t}\n   150→\n   151→\tnewID, err := res.LastInsertId()\n   152→\tif err != nil {\n   153→\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n   154→\t}\n   155→\n   156→\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n   157→\tif err != nil {\n   158→\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n   159→\t}\n   160→\n   161→\treturn newID, nil\n   162→}\n   163→\n   164→// Start inserts a new job in the table, returning the unique job ID.\n   165→// Statistics are not transfered!\n   166→func (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n   167→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   168→\tif err != nil {\n   169→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n   170→\t}\n   171→\n   172→\tjob.RawResources, err = json.Marshal(job.Resources)\n   173→\tif err != nil {\n   174→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n   175→\t}\n   176→\n   177→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n   178→\tif err != nil {\n   179→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n   180→\t}\n   181→\n   182→\treturn r.InsertJob(job)\n   183→}\n   184→\n   185→// StartDirect inserts a new job directly into the job table (not job_cache).\n   186→// Use this when the returned ID will immediately be used for job table\n   187→// operations such as adding tags.\n   188→func (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n   189→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   190→\tif err != nil {\n   191→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n   192→\t}\n   193→\n   194→\tjob.RawResources, err = json.Marshal(job.Resources)\n   195→\tif err != nil {\n   196→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n   197→\t}\n   198→\n   199→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n   200→\tif err != nil {\n   201→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n   202→\t}\n   203→\n   204→\treturn r.InsertJobDirect(job)\n   205→}\n   206→\n   207→// Stop updates the job with the database id jobId using the provided arguments.\n   208→func (r *JobRepository) Stop(\n   209→\tjobID int64,\n   210→\tduration int32,\n   211→\tstate schema.JobState,\n   212→\tmonitoringStatus int32,\n   213→) (err error) {\n   214→\t// Invalidate cache entries as job state is changing\n   215→\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n   216→\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n   217→\n   218→\tstmt := sq.Update(\"job\").\n   219→\t\tSet(\"job_state\", state).\n   220→\t\tSet(\"duration\", duration).\n   221→\t\tSet(\"monitoring_status\", monitoringStatus).\n   222→\t\tWhere(\"job.id = ?\", jobID)\n   223→\n   224→\t_, err = stmt.RunWith(r.stmtCache).Exec()\n   225→\treturn err\n   226→}\n   227→"}]},"uuid":"758b9b9e-bfd8-46c1-a469-bede6913e6c5","timestamp":"2026-03-16T10:18:54.899Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"ad475ca1-30c3-49f7-9995-aa4bdf96ea9e","timestamp":"2026-03-16T10:18:55.097Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"6982164d-b24f-4e35-89a8-341592893f04","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01X1wWyRjNqL5ZvzQvFVYAUx","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"encoding/json\"\n    10→\t\"fmt\"\n    11→\t\"os\"\n    12→\t\"path/filepath\"\n    13→\t\"strconv\"\n    14→\t\"strings\"\n    15→\t\"time\"\n    16→\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\tpqarchive \"github.com/ClusterCockpit/cc-backend/pkg/archive/parquet\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→\t\"github.com/go-co-op/gocron/v2\"\n    22→)\n    23→\n    24→// createParquetTarget creates a ParquetTarget (file or S3) from the retention config.\n    25→func createParquetTarget(cfg Retention) (pqarchive.ParquetTarget, error) {\n    26→\tswitch cfg.TargetKind {\n    27→\tcase \"s3\":\n    28→\t\treturn pqarchive.NewS3Target(pqarchive.S3TargetConfig{\n    29→\t\t\tEndpoint:     cfg.TargetEndpoint,\n    30→\t\t\tBucket:       cfg.TargetBucket,\n    31→\t\t\tAccessKey:    cfg.TargetAccessKey,\n    32→\t\t\tSecretKey:    cfg.TargetSecretKey,\n    33→\t\t\tRegion:       cfg.TargetRegion,\n    34→\t\t\tUsePathStyle: cfg.TargetUsePathStyle,\n    35→\t\t})\n    36→\tdefault:\n    37→\t\treturn pqarchive.NewFileTarget(cfg.TargetPath)\n    38→\t}\n    39→}\n    40→\n    41→// createTargetBackend creates a secondary archive backend (file or S3) for JSON copy/move.\n    42→func createTargetBackend(cfg Retention) (archive.ArchiveBackend, error) {\n    43→\tvar raw json.RawMessage\n    44→\tvar err error\n    45→\n    46→\tswitch cfg.TargetKind {\n    47→\tcase \"s3\":\n    48→\t\traw, err = json.Marshal(map[string]any{\n    49→\t\t\t\"kind\":           \"s3\",\n    50→\t\t\t\"endpoint\":       cfg.TargetEndpoint,\n    51→\t\t\t\"bucket\":         cfg.TargetBucket,\n    52→\t\t\t\"access-key\":     cfg.TargetAccessKey,\n    53→\t\t\t\"secret-key\":     cfg.TargetSecretKey,\n    54→\t\t\t\"region\":         cfg.TargetRegion,\n    55→\t\t\t\"use-path-style\": cfg.TargetUsePathStyle,\n    56→\t\t})\n    57→\tdefault:\n    58→\t\traw, err = json.Marshal(map[string]string{\n    59→\t\t\t\"kind\": \"file\",\n    60→\t\t\t\"path\": cfg.TargetPath,\n    61→\t\t})\n    62→\t}\n    63→\tif err != nil {\n    64→\t\treturn nil, fmt.Errorf(\"marshal target config: %w\", err)\n    65→\t}\n    66→\treturn archive.InitBackend(raw)\n    67→}\n    68→\n    69→// transferJobsJSON copies job data from source archive to target backend in JSON format.\n    70→func transferJobsJSON(jobs []*schema.Job, src archive.ArchiveBackend, dst archive.ArchiveBackend) error {\n    71→\t// Transfer cluster configs for all clusters referenced by jobs\n    72→\tclustersDone := make(map[string]bool)\n    73→\tfor _, job := range jobs {\n    74→\t\tif clustersDone[job.Cluster] {\n    75→\t\t\tcontinue\n    76→\t\t}\n    77→\t\tclusterCfg, err := src.LoadClusterCfg(job.Cluster)\n    78→\t\tif err != nil {\n    79→\t\t\tcclog.Warnf(\"Retention: load cluster config %q: %v\", job.Cluster, err)\n    80→\t\t} else {\n    81→\t\t\tif err := dst.StoreClusterCfg(job.Cluster, clusterCfg); err != nil {\n    82→\t\t\t\tcclog.Warnf(\"Retention: store cluster config %q: %v\", job.Cluster, err)\n    83→\t\t\t}\n    84→\t\t}\n    85→\t\tclustersDone[job.Cluster] = true\n    86→\t}\n    87→\n    88→\tfor _, job := range jobs {\n    89→\t\tmeta, err := src.LoadJobMeta(job)\n    90→\t\tif err != nil {\n    91→\t\t\tcclog.Warnf(\"Retention: load meta for job %d: %v\", job.JobID, err)\n    92→\t\t\tcontinue\n    93→\t\t}\n    94→\t\tdata, err := src.LoadJobData(job)\n    95→\t\tif err != nil {\n    96→\t\t\tcclog.Warnf(\"Retention: load data for job %d: %v\", job.JobID, err)\n    97→\t\t\tcontinue\n    98→\t\t}\n    99→\t\tif err := dst.ImportJob(meta, &data); err != nil {\n   100→\t\t\tcclog.Warnf(\"Retention: import job %d: %v\", job.JobID, err)\n   101→\t\t\tcontinue\n   102→\t\t}\n   103→\t}\n   104→\treturn nil\n   105→}\n   106→\n   107→// transferJobsParquet converts jobs to Parquet format, organized by cluster.\n   108→func transferJobsParquet(jobs []*schema.Job, src archive.ArchiveBackend, target pqarchive.ParquetTarget, maxSizeMB int) error {\n   109→\tcw := pqarchive.NewClusterAwareParquetWriter(target, maxSizeMB)\n   110→\n   111→\t// Set cluster configs for all clusters referenced by jobs\n   112→\tclustersDone := make(map[string]bool)\n   113→\tfor _, job := range jobs {\n   114→\t\tif clustersDone[job.Cluster] {\n   115→\t\t\tcontinue\n   116→\t\t}\n   117→\t\tclusterCfg, err := src.LoadClusterCfg(job.Cluster)\n   118→\t\tif err != nil {\n   119→\t\t\tcclog.Warnf(\"Retention: load cluster config %q: %v\", job.Cluster, err)\n   120→\t\t} else {\n   121→\t\t\tcw.SetClusterConfig(job.Cluster, clusterCfg)\n   122→\t\t}\n   123→\t\tclustersDone[job.Cluster] = true\n   124→\t}\n   125→\n   126→\tfor _, job := range jobs {\n   127→\t\tmeta, err := src.LoadJobMeta(job)\n   128→\t\tif err != nil {\n   129→\t\t\tcclog.Warnf(\"Retention: load meta for job %d: %v\", job.JobID, err)\n   130→\t\t\tcontinue\n   131→\t\t}\n   132→\t\tdata, err := src.LoadJobData(job)\n   133→\t\tif err != nil {\n   134→\t\t\tcclog.Warnf(\"Retention: load data for job %d: %v\", job.JobID, err)\n   135→\t\t\tcontinue\n   136→\t\t}\n   137→\t\trow, err := pqarchive.JobToParquetRow(meta, &data)\n   138→\t\tif err != nil {\n   139→\t\t\tcclog.Warnf(\"Retention: convert job %d: %v\", job.JobID, err)\n   140→\t\t\tcontinue\n   141→\t\t}\n   142→\t\tif err := cw.AddJob(*row); err != nil {\n   143→\t\t\tcclog.Errorf(\"Retention: add job %d to writer: %v\", job.JobID, err)\n   144→\t\t\tcontinue\n   145→\t\t}\n   146→\t}\n   147→\n   148→\treturn cw.Close()\n   149→}\n   150→\n   151→// cleanupAfterTransfer removes jobs from archive and optionally from DB.\n   152→func cleanupAfterTransfer(jobs []*schema.Job, startTime int64, includeDB bool, omitTagged string) {\n   153→\tarchive.GetHandle().CleanUp(jobs)\n   154→\n   155→\tif includeDB {\n   156→\t\tcnt, err := jobRepo.DeleteJobsBefore(startTime, omitTagged)\n   157→\t\tif err != nil {\n   158→\t\t\tcclog.Errorf(\"Retention: delete jobs from db: %v\", err)\n   159→\t\t} else {\n   160→\t\t\tcclog.Infof(\"Retention: removed %d jobs from db\", cnt)\n   161→\t\t}\n   162→\t\tif err = jobRepo.Optimize(); err != nil {\n   163→\t\t\tcclog.Errorf(\"Retention: db optimization error: %v\", err)\n   164→\t\t}\n   165→\t}\n   166→}\n   167→\n   168→// readCopyMarker reads the last-processed timestamp from a copy marker file.\n   169→func readCopyMarker(cfg Retention) int64 {\n   170→\tvar data []byte\n   171→\tvar err error\n   172→\n   173→\tswitch cfg.TargetKind {\n   174→\tcase \"s3\":\n   175→\t\t// For S3 we store the marker locally alongside the config\n   176→\t\tdata, err = os.ReadFile(copyMarkerPath(cfg))\n   177→\tdefault:\n   178→\t\tdata, err = os.ReadFile(filepath.Join(cfg.TargetPath, \".copy-marker\"))\n   179→\t}\n   180→\tif err != nil {\n   181→\t\treturn 0\n   182→\t}\n   183→\tts, err := strconv.ParseInt(strings.TrimSpace(string(data)), 10, 64)\n   184→\tif err != nil {\n   185→\t\treturn 0\n   186→\t}\n   187→\treturn ts\n   188→}\n   189→\n   190→// writeCopyMarker writes the last-processed timestamp to a copy marker file.\n   191→func writeCopyMarker(cfg Retention, ts int64) {\n   192→\tcontent := []byte(strconv.FormatInt(ts, 10))\n   193→\tvar err error\n   194→\n   195→\tswitch cfg.TargetKind {\n   196→\tcase \"s3\":\n   197→\t\terr = os.WriteFile(copyMarkerPath(cfg), content, 0o640)\n   198→\tdefault:\n   199→\t\terr = os.WriteFile(filepath.Join(cfg.TargetPath, \".copy-marker\"), content, 0o640)\n   200→\t}\n   201→\tif err != nil {\n   202→\t\tcclog.Warnf(\"Retention: write copy marker: %v\", err)\n   203→\t}\n   204→}\n   205→\n   206→func copyMarkerPath(cfg Retention) string {\n   207→\t// For S3 targets, store the marker in a local temp-style path derived from the bucket name\n   208→\treturn filepath.Join(os.TempDir(), fmt.Sprintf(\"cc-copy-marker-%s\", cfg.TargetBucket))\n   209→}\n   210→\n   211→func RegisterRetentionDeleteService(cfg Retention) {\n   212→\tcclog.Info(\"Register retention delete service\")\n   213→\n   214→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(3, 0, 0))),\n   215→\t\tgocron.NewTask(\n   216→\t\t\tfunc() {\n   217→\t\t\t\tstartTime := time.Now().Unix() - int64(cfg.Age*24*3600)\n   218→\t\t\t\tjobs, err := jobRepo.FindJobsBetween(0, startTime, cfg.OmitTagged)\n   219→\t\t\t\tif err != nil {\n   220→\t\t\t\t\tcclog.Warnf(\"Retention delete: error finding jobs: %v\", err)\n   221→\t\t\t\t\treturn\n   222→\t\t\t\t}\n   223→\t\t\t\tif len(jobs) == 0 {\n   224→\t\t\t\t\treturn\n   225→\t\t\t\t}\n   226→\n   227→\t\t\t\tcclog.Infof(\"Retention delete: processing %d jobs\", len(jobs))\n   228→\t\t\t\tcleanupAfterTransfer(jobs, startTime, cfg.IncludeDB, cfg.OmitTagged)\n   229→\t\t\t}))\n   230→}\n   231→\n   232→func RegisterRetentionCopyService(cfg Retention) {\n   233→\tcclog.Infof(\"Register retention copy service (format=%s, target=%s)\", cfg.Format, cfg.TargetKind)\n   234→\n   235→\tmaxFileSizeMB := cfg.MaxFileSizeMB\n   236→\tif maxFileSizeMB <= 0 {\n   237→\t\tmaxFileSizeMB = 512\n   238→\t}\n   239→\n   240→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(4, 0, 0))),\n   241→\t\tgocron.NewTask(\n   242→\t\t\tfunc() {\n   243→\t\t\t\tcutoff := time.Now().Unix() - int64(cfg.Age*24*3600)\n   244→\t\t\t\tlastProcessed := readCopyMarker(cfg)\n   245→\n   246→\t\t\t\tjobs, err := jobRepo.FindJobsBetween(lastProcessed, cutoff, cfg.OmitTagged)\n   247→\t\t\t\tif err != nil {\n   248→\t\t\t\t\tcclog.Warnf(\"Retention copy: error finding jobs: %v\", err)\n   249→\t\t\t\t\treturn\n   250→\t\t\t\t}\n   251→\t\t\t\tif len(jobs) == 0 {\n   252→\t\t\t\t\treturn\n   253→\t\t\t\t}\n   254→\n   255→\t\t\t\tcclog.Infof(\"Retention copy: processing %d jobs\", len(jobs))\n   256→\t\t\t\tar := archive.GetHandle()\n   257→\n   258→\t\t\t\tswitch cfg.Format {\n   259→\t\t\t\tcase \"parquet\":\n   260→\t\t\t\t\ttarget, err := createParquetTarget(cfg)\n   261→\t\t\t\t\tif err != nil {\n   262→\t\t\t\t\t\tcclog.Errorf(\"Retention copy: create parquet target: %v\", err)\n   263→\t\t\t\t\t\treturn\n   264→\t\t\t\t\t}\n   265→\t\t\t\t\tif err := transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\n   266→\t\t\t\t\t\tcclog.Errorf(\"Retention copy: parquet transfer: %v\", err)\n   267→\t\t\t\t\t\treturn\n   268→\t\t\t\t\t}\n   269→\t\t\t\tdefault: // json\n   270→\t\t\t\t\tdst, err := createTargetBackend(cfg)\n   271→\t\t\t\t\tif err != nil {\n   272→\t\t\t\t\t\tcclog.Errorf(\"Retention copy: create target backend: %v\", err)\n   273→\t\t\t\t\t\treturn\n   274→\t\t\t\t\t}\n   275→\t\t\t\t\tif err := transferJobsJSON(jobs, ar, dst); err != nil {\n   276→\t\t\t\t\t\tcclog.Errorf(\"Retention copy: json transfer: %v\", err)\n   277→\t\t\t\t\t\treturn\n   278→\t\t\t\t\t}\n   279→\t\t\t\t}\n   280→\n   281→\t\t\t\twriteCopyMarker(cfg, cutoff)\n   282→\t\t\t}))\n   283→}\n   284→\n   285→func RegisterRetentionMoveService(cfg Retention) {\n   286→\tcclog.Infof(\"Register retention move service (format=%s, target=%s)\", cfg.Format, cfg.TargetKind)\n   287→\n   288→\tmaxFileSizeMB := cfg.MaxFileSizeMB\n   289→\tif maxFileSizeMB <= 0 {\n   290→\t\tmaxFileSizeMB = 512\n   291→\t}\n   292→\n   293→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(5, 0, 0))),\n   294→\t\tgocron.NewTask(\n   295→\t\t\tfunc() {\n   296→\t\t\t\tstartTime := time.Now().Unix() - int64(cfg.Age*24*3600)\n   297→\t\t\t\tjobs, err := jobRepo.FindJobsBetween(0, startTime, cfg.OmitTagged)\n   298→\t\t\t\tif err != nil {\n   299→\t\t\t\t\tcclog.Warnf(\"Retention move: error finding jobs: %v\", err)\n   300→\t\t\t\t\treturn\n   301→\t\t\t\t}\n   302→\t\t\t\tif len(jobs) == 0 {\n   303→\t\t\t\t\treturn\n   304→\t\t\t\t}\n   305→\n   306→\t\t\t\tcclog.Infof(\"Retention move: processing %d jobs\", len(jobs))\n   307→\t\t\t\tar := archive.GetHandle()\n   308→\n   309→\t\t\t\tswitch cfg.Format {\n   310→\t\t\t\tcase \"parquet\":\n   311→\t\t\t\t\ttarget, err := createParquetTarget(cfg)\n   312→\t\t\t\t\tif err != nil {\n   313→\t\t\t\t\t\tcclog.Errorf(\"Retention move: create parquet target: %v\", err)\n   314→\t\t\t\t\t\treturn\n   315→\t\t\t\t\t}\n   316→\t\t\t\t\tif err := transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\n   317→\t\t\t\t\t\tcclog.Errorf(\"Retention move: parquet transfer: %v\", err)\n   318→\t\t\t\t\t\treturn\n   319→\t\t\t\t\t}\n   320→\t\t\t\tdefault: // json\n   321→\t\t\t\t\tdst, err := createTargetBackend(cfg)\n   322→\t\t\t\t\tif err != nil {\n   323→\t\t\t\t\t\tcclog.Errorf(\"Retention move: create target backend: %v\", err)\n   324→\t\t\t\t\t\treturn\n   325→\t\t\t\t\t}\n   326→\t\t\t\t\tif err := transferJobsJSON(jobs, ar, dst); err != nil {\n   327→\t\t\t\t\t\tcclog.Errorf(\"Retention move: json transfer: %v\", err)\n   328→\t\t\t\t\t\treturn\n   329→\t\t\t\t\t}\n   330→\t\t\t\t}\n   331→\n   332→\t\t\t\tcleanupAfterTransfer(jobs, startTime, cfg.IncludeDB, cfg.OmitTagged)\n   333→\t\t\t}))\n   334→}\n   335→"}]},"uuid":"4ce7a245-5605-466c-805e-7afe98a3455e","timestamp":"2026-03-16T10:18:55.266Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"55872396-17aa-4333-950b-7dac1e007190","timestamp":"2026-03-16T10:18:55.267Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"cc02a4e2-04b8-472c-a560-3896dafebd9f","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XoMSQBVzkgXnMoE3wdHsWF","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package archiver provides asynchronous job archiving functionality for ClusterCockpit.\n     7→//\n     8→// The archiver runs a background worker goroutine that processes job archiving requests\n     9→// from a buffered channel. When jobs complete, their metric data is archived from the\n    10→// metric store to the configured archive backend (filesystem, S3, etc.).\n    11→//\n    12→// # Architecture\n    13→//\n    14→// The archiver uses a producer-consumer pattern:\n    15→//   - Producer: TriggerArchiving() sends jobs to archiveChannel\n    16→//   - Consumer: archivingWorker() processes jobs from the channel\n    17→//   - Coordination: sync.WaitGroup tracks pending archive operations\n    18→//\n    19→// # Lifecycle\n    20→//\n    21→//  1. Start(repo, ctx) - Initialize worker with context for cancellation\n    22→//  2. TriggerArchiving(job) - Queue job for archiving (called when job stops)\n    23→//  3. archivingWorker() - Background goroutine processes jobs\n    24→//  4. Shutdown(timeout) - Graceful shutdown with timeout\n    25→//\n    26→// # Graceful Shutdown\n    27→//\n    28→// The archiver supports graceful shutdown with configurable timeout:\n    29→//   - Closes channel to reject new jobs\n    30→//   - Waits for pending jobs to complete (up to timeout)\n    31→//   - Cancels context if timeout exceeded\n    32→//   - Ensures worker goroutine exits cleanly\n    33→//\n    34→// # Example Usage\n    35→//\n    36→//\t// Initialize archiver\n    37→//\tctx, cancel := context.WithCancel(context.Background())\n    38→//\tdefer cancel()\n    39→//\tarchiver.Start(jobRepository, ctx)\n    40→//\n    41→//\t// Trigger archiving when job completes\n    42→//\tarchiver.TriggerArchiving(job)\n    43→//\n    44→//\t// Graceful shutdown with 10 second timeout\n    45→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n    46→//\t    log.Printf(\"Archiver shutdown timeout: %v\", err)\n    47→//\t}\n    48→package archiver\n    49→\n    50→import (\n    51→\t\"context\"\n    52→\t\"fmt\"\n    53→\t\"sync\"\n    54→\t\"time\"\n    55→\n    56→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    57→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    58→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    59→\tsq \"github.com/Masterminds/squirrel\"\n    60→)\n    61→\n    62→var (\n    63→\tarchivePending sync.WaitGroup\n    64→\tarchiveChannel chan *schema.Job\n    65→\tjobRepo        *repository.JobRepository\n    66→\tshutdownCtx    context.Context\n    67→\tshutdownCancel context.CancelFunc\n    68→\tworkerDone     chan struct{}\n    69→)\n    70→\n    71→// Start initializes the archiver and starts the background worker goroutine.\n    72→//\n    73→// The archiver processes job archiving requests asynchronously via a buffered channel.\n    74→// Jobs are sent to the channel using TriggerArchiving() and processed by the worker.\n    75→//\n    76→// Parameters:\n    77→//   - r: JobRepository instance for database operations\n    78→//   - ctx: Context for cancellation (shutdown signal propagation)\n    79→//\n    80→// The worker goroutine will run until:\n    81→//   - ctx is cancelled (via parent shutdown)\n    82→//   - archiveChannel is closed (via Shutdown())\n    83→//\n    84→// Must be called before TriggerArchiving(). Safe to call only once.\n    85→func Start(r *repository.JobRepository, ctx context.Context) {\n    86→\tshutdownCtx, shutdownCancel = context.WithCancel(ctx)\n    87→\tarchiveChannel = make(chan *schema.Job, 128)\n    88→\tworkerDone = make(chan struct{})\n    89→\tjobRepo = r\n    90→\n    91→\tgo archivingWorker()\n    92→}\n    93→\n    94→// archivingWorker is the background goroutine that processes job archiving requests.\n    95→//\n    96→// The worker loop:\n    97→//  1. Blocks waiting for jobs on archiveChannel or shutdown signal\n    98→//  2. Fetches job metadata from repository\n    99→//  3. Archives job data to configured backend (calls ArchiveJob)\n   100→//  4. Updates job footprint and energy metrics in database\n   101→//  5. Marks job as successfully archived\n   102→//  6. Calls job stop hooks\n   103→//\n   104→// The worker exits when:\n   105→//   - shutdownCtx is cancelled (timeout during shutdown)\n   106→//   - archiveChannel is closed (normal shutdown)\n   107→//\n   108→// Errors during archiving are logged and the job is marked as failed,\n   109→// but the worker continues processing other jobs.\n   110→func archivingWorker() {\n   111→\tdefer close(workerDone)\n   112→\n   113→\tfor {\n   114→\t\tselect {\n   115→\t\tcase <-shutdownCtx.Done():\n   116→\t\t\tcclog.Info(\"Archive worker received shutdown signal\")\n   117→\t\t\treturn\n   118→\n   119→\t\tcase job, ok := <-archiveChannel:\n   120→\t\t\tif !ok {\n   121→\t\t\t\tcclog.Info(\"Archive channel closed, worker exiting\")\n   122→\t\t\t\treturn\n   123→\t\t\t}\n   124→\n   125→\t\t\tstart := time.Now()\n   126→\t\t\t// not using meta data, called to load JobMeta into Cache?\n   127→\t\t\t// will fail if job meta not in repository\n   128→\t\t\tif _, err := jobRepo.FetchMetadata(job); err != nil {\n   129→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at check metadata step: %s\", *job.ID, err.Error())\n   130→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n   131→\t\t\t\tarchivePending.Done()\n   132→\t\t\t\tcontinue\n   133→\t\t\t}\n   134→\n   135→\t\t\t// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend\n   136→\t\t\t// Use shutdown context to allow cancellation\n   137→\t\t\tjobMeta, err := ArchiveJob(job, shutdownCtx)\n   138→\t\t\tif err != nil {\n   139→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at archiving job step: %s\", *job.ID, err.Error())\n   140→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n   141→\t\t\t\tarchivePending.Done()\n   142→\t\t\t\tcontinue\n   143→\t\t\t}\n   144→\n   145→\t\t\tstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\n   146→\n   147→\t\t\tif stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {\n   148→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Footprint step: %s\", *job.ID, err.Error())\n   149→\t\t\t\tarchivePending.Done()\n   150→\t\t\t\tcontinue\n   151→\t\t\t}\n   152→\t\t\tif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta); err != nil {\n   153→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Energy step: %s\", *job.ID, err.Error())\n   154→\t\t\t\tarchivePending.Done()\n   155→\t\t\t\tcontinue\n   156→\t\t\t}\n   157→\t\t\t// Update the jobs database entry one last time:\n   158→\t\t\tstmt = jobRepo.MarkArchived(stmt, schema.MonitoringStatusArchivingSuccessful)\n   159→\t\t\tif err := jobRepo.Execute(stmt); err != nil {\n   160→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at db execute: %s\", *job.ID, err.Error())\n   161→\t\t\t\tarchivePending.Done()\n   162→\t\t\t\tcontinue\n   163→\t\t\t}\n   164→\t\t\tcclog.Debugf(\"archiving job %d took %s\", job.JobID, time.Since(start))\n   165→\t\t\tcclog.Infof(\"archiving job (dbid: %d) successful\", *job.ID)\n   166→\n   167→\t\t\trepository.CallJobStopHooks(job)\n   168→\t\t\tarchivePending.Done()\n   169→\t\t}\n   170→\t}\n   171→}\n   172→\n   173→// TriggerArchiving queues a job for asynchronous archiving.\n   174→//\n   175→// This function should be called when a job completes (stops) to archive its\n   176→// metric data from the metric store to the configured archive backend.\n   177→//\n   178→// The function:\n   179→//  1. Increments the pending job counter (WaitGroup)\n   180→//  2. Sends the job to the archiving channel (buffered, capacity 128)\n   181→//  3. Returns immediately (non-blocking unless channel is full)\n   182→//\n   183→// The actual archiving is performed asynchronously by the worker goroutine.\n   184→// Upon completion, the worker will decrement the pending counter.\n   185→//\n   186→// Panics if Start() has not been called first.\n   187→func TriggerArchiving(job *schema.Job) {\n   188→\tif archiveChannel == nil {\n   189→\t\tcclog.Fatal(\"Cannot archive without archiving channel. Did you Start the archiver?\")\n   190→\t}\n   191→\n   192→\tarchivePending.Add(1)\n   193→\tarchiveChannel <- job\n   194→}\n   195→\n   196→// Shutdown performs a graceful shutdown of the archiver with a configurable timeout.\n   197→//\n   198→// The shutdown process:\n   199→//  1. Closes archiveChannel - no new jobs will be accepted\n   200→//  2. Waits for pending jobs to complete (up to timeout duration)\n   201→//  3. If timeout is exceeded:\n   202→//     - Cancels shutdownCtx to interrupt ongoing ArchiveJob operations\n   203→//     - Returns error indicating timeout\n   204→//  4. Waits for worker goroutine to exit cleanly\n   205→//\n   206→// Parameters:\n   207→//   - timeout: Maximum duration to wait for pending jobs to complete\n   208→//     (recommended: 10-30 seconds for production)\n   209→//\n   210→// Returns:\n   211→//   - nil if all jobs completed within timeout\n   212→//   - error if timeout was exceeded (some jobs may not have been archived)\n   213→//\n   214→// Jobs that don't complete within the timeout will be marked as failed.\n   215→// The function always ensures the worker goroutine exits before returning.\n   216→//\n   217→// Example:\n   218→//\n   219→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n   220→//\t    log.Printf(\"Some jobs did not complete: %v\", err)\n   221→//\t}\n   222→func Shutdown(timeout time.Duration) error {\n   223→\tcclog.Info(\"Initiating archiver shutdown...\")\n   224→\n   225→\t// Close channel to signal no more jobs will be accepted\n   226→\tclose(archiveChannel)\n   227→\n   228→\t// Create a channel to signal when all jobs are done\n   229→\tdone := make(chan struct{})\n   230→\tgo func() {\n   231→\t\tarchivePending.Wait()\n   232→\t\tclose(done)\n   233→\t}()\n   234→\n   235→\t// Wait for jobs to complete or timeout\n   236→\tselect {\n   237→\tcase <-done:\n   238→\t\tcclog.Info(\"All archive jobs completed successfully\")\n   239→\t\t// Wait for worker to exit\n   240→\t\t<-workerDone\n   241→\t\treturn nil\n   242→\tcase <-time.After(timeout):\n   243→\t\tcclog.Warn(\"Archiver shutdown timeout exceeded, cancelling remaining operations\")\n   244→\t\t// Cancel any ongoing operations\n   245→\t\tshutdownCancel()\n   246→\t\t// Wait for worker to exit\n   247→\t\t<-workerDone\n   248→\t\treturn fmt.Errorf(\"archiver shutdown timeout after %v\", timeout)\n   249→\t}\n   250→}\n   251→"}]},"uuid":"405ee9d5-6fd9-4bdf-bc8f-17596319c6ae","timestamp":"2026-03-16T10:18:55.304Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"b8c361a6-e42e-4f96-890f-e5833e6b9a23","timestamp":"2026-03-16T10:18:55.305Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"b8c361a6-e42e-4f96-890f-e5833e6b9a23","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JCpxD2KwaECyWX3YUBodAj","type":"tool_result","content":"<persisted-output>\nOutput too large (49.5KB). Full output saved to: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/3a41c7a4-abf8-484b-96ae-ee5618eea5ba/tool-results/REDACTED.txt\n\nPreview (first 2KB):\n     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package repository provides the data access layer for cc-backend using the repository pattern.\n     7→//\n     8→// The repository pattern abstracts database operations and provides a clean interface for\n     9→// data access. Each major entity (Job, User, Node, Tag) has its own repository with CRUD\n    10→// operations and specialized queries.\n    11→//\n    12→// # Database Connection\n    13→//\n    14→// Initialize the database connection before using any repository:\n    15→//\n    16→//\trepository.Connect(\"sqlite3\", \"./var/job.db\")\n    17→//\n    18→// # Configuration\n    19→//\n    20→// Optional: Configure repository settings before initialization:\n    21→//\n    22→//\trepository.SetConfig(&repository.RepositoryConfig{\n    23→//\t    CacheSize: 2 * 1024 * 1024,     // 2MB cache\n    24→//\t    MaxOpenConnections: 8,           // Connection pool size\n    25→//\t    MinRunningJobDuration: 300,      // Filter threshold\n    26→//\t})\n    27→//\n    28→// If not configured, sensible defaults are used automatically.\n    29→//\n    30→// # Repositories\n    31→//\n    32→//   - JobRepository: Job lifecycle management and querying\n    33→//   - UserRepository: User management and authentication\n    34→//   - NodeRepository: Cluster node state tracking\n    35→//   - Tags: Job tagging and categorization\n    36→//\n    37→// # Caching\n    38→//\n    39→// Repositories use LRU caching to improve performance. Cache keys are constructed\n    40→// as \"type:id\" (e.g., \"metadata:123\"). Cache is automatically invalidated on\n    41→// mutations to maintain consistency.\n    42→//\n    43→// # Transaction Support\n    44→//\n    45→// For batch operations, use transactions:\n    46→//\n    47→//\tt, err := jobRepo.TransactionInit()\n...\n</persisted-output>"}]},"uuid":"089401ce-0cb2-4e92-9555-abb914967adc","timestamp":"2026-03-16T10:18:55.322Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"f9e51b3f-c195-4177-ba1e-58db969e5f67","timestamp":"2026-03-16T10:18:55.323Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"fd320a15-6ab3-4edb-aff6-f0c9b486e533","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MQZmsnjqdmpxaaVKffBkSj","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"time\"\n    10→\n    11→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    14→\t\"github.com/go-co-op/gocron/v2\"\n    15→)\n    16→\n    17→func RegisterCompressionService(compressOlderThan int) {\n    18→\tcclog.Info(\"Register compression service\")\n    19→\n    20→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(5, 0, 0))),\n    21→\t\tgocron.NewTask(\n    22→\t\t\tfunc() {\n    23→\t\t\t\tvar jobs []*schema.Job\n    24→\t\t\t\tvar err error\n    25→\n    26→\t\t\t\tar := archive.GetHandle()\n    27→\t\t\t\tstartTime := time.Now().Unix() - int64(compressOlderThan*24*3600)\n    28→\t\t\t\tlastTime := ar.CompressLast(startTime)\n    29→\t\t\t\tif startTime == lastTime {\n    30→\t\t\t\t\tcclog.Info(\"Compression Service - Complete archive run\")\n    31→\t\t\t\t\tjobs, err = jobRepo.FindJobsBetween(0, startTime, \"none\")\n    32→\n    33→\t\t\t\t} else {\n    34→\t\t\t\t\tjobs, err = jobRepo.FindJobsBetween(lastTime, startTime, \"none\")\n    35→\t\t\t\t}\n    36→\n    37→\t\t\t\tif err != nil {\n    38→\t\t\t\t\tcclog.Warnf(\"Error while looking for compression jobs: %v\", err)\n    39→\t\t\t\t}\n    40→\t\t\t\tar.Compress(jobs)\n    41→\t\t\t}))\n    42→}\n    43→"}]},"uuid":"e8f53165-482b-4703-b747-9a21f952a933","timestamp":"2026-03-16T10:18:55.473Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"259bf582-dfdb-4a76-8d93-f5f999fa200a","timestamp":"2026-03-16T10:18:55.856Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"3cffaa12-8024-4952-893e-b91413d32eab","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013M6BNThre3DTv4Hwsj2Tcm","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"time\"\n    10→\n    11→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n    12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    13→\t\"github.com/go-co-op/gocron/v2\"\n    14→)\n    15→\n    16→func RegisterLdapSyncService(ds string) {\n    17→\tinterval, err := parseDuration(ds)\n    18→\tif err != nil {\n    19→\t\tcclog.Warnf(\"Could not parse duration for sync interval: %v\",\n    20→\t\t\tds)\n    21→\t\treturn\n    22→\t}\n    23→\n    24→\tauth := auth.GetAuthInstance()\n    25→\n    26→\tcclog.Infof(\"register ldap sync service with %s interval\", ds)\n    27→\n    28→\ts.NewJob(gocron.DurationJob(interval),\n    29→\t\tgocron.NewTask(\n    30→\t\t\tfunc() {\n    31→\t\t\t\tt := time.Now()\n    32→\t\t\t\tcclog.Infof(\"ldap sync started at %s\", t.Format(time.RFC3339))\n    33→\t\t\t\tif err := auth.LdapAuth.Sync(); err != nil {\n    34→\t\t\t\t\tcclog.Errorf(\"ldap sync failed: %s\", err.Error())\n    35→\t\t\t\t}\n    36→\t\t\t}))\n    37→}\n    38→"}]},"uuid":"1c60d702-e4b8-4cc4-ace0-ddc6515334ec","timestamp":"2026-03-16T10:18:55.874Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"2e01ca70-cb4a-4b2d-912e-798a03edb39b","timestamp":"2026-03-16T10:18:55.996Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"59f93677-f986-4c75-b29e-521a1699c568","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018XBW6RLSbwQd7oRNJo45a6","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"time\"\n    10→\n    11→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    12→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    13→\tpqarchive \"github.com/ClusterCockpit/cc-backend/pkg/archive/parquet\"\n    14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    15→\t\"github.com/go-co-op/gocron/v2\"\n    16→)\n    17→\n    18→func RegisterNodeStateRetentionDeleteService(ageHours int) {\n    19→\tcclog.Info(\"Register node state retention delete service\")\n    20→\n    21→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(2, 0, 0))),\n    22→\t\tgocron.NewTask(\n    23→\t\t\tfunc() {\n    24→\t\t\t\tcutoff := time.Now().Unix() - int64(ageHours*3600)\n    25→\t\t\t\tnodeRepo := repository.GetNodeRepository()\n    26→\t\t\t\tcnt, err := nodeRepo.DeleteNodeStatesBefore(cutoff)\n    27→\t\t\t\tif err != nil {\n    28→\t\t\t\t\tcclog.Errorf(\"NodeState retention: error deleting old rows: %v\", err)\n    29→\t\t\t\t} else if cnt > 0 {\n    30→\t\t\t\t\tcclog.Infof(\"NodeState retention: deleted %d old rows\", cnt)\n    31→\t\t\t\t}\n    32→\t\t\t}))\n    33→}\n    34→\n    35→func RegisterNodeStateRetentionMoveService(cfg *config.NodeStateRetention) {\n    36→\tcclog.Info(\"Register node state retention move service\")\n    37→\n    38→\tmaxFileSizeMB := cfg.MaxFileSizeMB\n    39→\tif maxFileSizeMB <= 0 {\n    40→\t\tmaxFileSizeMB = 128\n    41→\t}\n    42→\n    43→\tageHours := cfg.Age\n    44→\tif ageHours <= 0 {\n    45→\t\tageHours = 24\n    46→\t}\n    47→\n    48→\tvar target pqarchive.ParquetTarget\n    49→\tvar err error\n    50→\n    51→\tswitch cfg.TargetKind {\n    52→\tcase \"s3\":\n    53→\t\ttarget, err = pqarchive.NewS3Target(pqarchive.S3TargetConfig{\n    54→\t\t\tEndpoint:     cfg.TargetEndpoint,\n    55→\t\t\tBucket:       cfg.TargetBucket,\n    56→\t\t\tAccessKey:    cfg.TargetAccessKey,\n    57→\t\t\tSecretKey:    cfg.TargetSecretKey,\n    58→\t\t\tRegion:       cfg.TargetRegion,\n    59→\t\t\tUsePathStyle: cfg.TargetUsePathStyle,\n    60→\t\t})\n    61→\tdefault:\n    62→\t\ttarget, err = pqarchive.NewFileTarget(cfg.TargetPath)\n    63→\t}\n    64→\n    65→\tif err != nil {\n    66→\t\tcclog.Errorf(\"NodeState move retention: failed to create target: %v\", err)\n    67→\t\treturn\n    68→\t}\n    69→\n    70→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(2, 30, 0))),\n    71→\t\tgocron.NewTask(\n    72→\t\t\tfunc() {\n    73→\t\t\t\tcutoff := time.Now().Unix() - int64(ageHours*3600)\n    74→\t\t\t\tnodeRepo := repository.GetNodeRepository()\n    75→\n    76→\t\t\t\trows, err := nodeRepo.FindNodeStatesBefore(cutoff)\n    77→\t\t\t\tif err != nil {\n    78→\t\t\t\t\tcclog.Errorf(\"NodeState move retention: error finding rows: %v\", err)\n    79→\t\t\t\t\treturn\n    80→\t\t\t\t}\n    81→\t\t\t\tif len(rows) == 0 {\n    82→\t\t\t\t\treturn\n    83→\t\t\t\t}\n    84→\n    85→\t\t\t\tcclog.Infof(\"NodeState move retention: archiving %d rows\", len(rows))\n    86→\t\t\t\tpw := pqarchive.NewNodeStateParquetWriter(target, maxFileSizeMB)\n    87→\n    88→\t\t\t\tfor _, ns := range rows {\n    89→\t\t\t\t\trow := pqarchive.ParquetNodeStateRow{\n    90→\t\t\t\t\t\tTimeStamp:       ns.TimeStamp,\n    91→\t\t\t\t\t\tNodeState:       ns.NodeState,\n    92→\t\t\t\t\t\tHealthState:     ns.HealthState,\n    93→\t\t\t\t\t\tHealthMetrics:   ns.HealthMetrics,\n    94→\t\t\t\t\t\tCpusAllocated:   int32(ns.CpusAllocated),\n    95→\t\t\t\t\t\tMemoryAllocated: ns.MemoryAllocated,\n    96→\t\t\t\t\t\tGpusAllocated:   int32(ns.GpusAllocated),\n    97→\t\t\t\t\t\tJobsRunning:     int32(ns.JobsRunning),\n    98→\t\t\t\t\t\tHostname:        ns.Hostname,\n    99→\t\t\t\t\t\tCluster:         ns.Cluster,\n   100→\t\t\t\t\t\tSubCluster:      ns.SubCluster,\n   101→\t\t\t\t\t}\n   102→\t\t\t\t\tif err := pw.AddRow(row); err != nil {\n   103→\t\t\t\t\t\tcclog.Errorf(\"NodeState move retention: add row: %v\", err)\n   104→\t\t\t\t\t\tcontinue\n   105→\t\t\t\t\t}\n   106→\t\t\t\t}\n   107→\n   108→\t\t\t\tif err := pw.Close(); err != nil {\n   109→\t\t\t\t\tcclog.Errorf(\"NodeState move retention: close writer: %v\", err)\n   110→\t\t\t\t\treturn\n   111→\t\t\t\t}\n   112→\n   113→\t\t\t\tcnt, err := nodeRepo.DeleteNodeStatesBefore(cutoff)\n   114→\t\t\t\tif err != nil {\n   115→\t\t\t\t\tcclog.Errorf(\"NodeState move retention: error deleting rows: %v\", err)\n   116→\t\t\t\t} else {\n   117→\t\t\t\t\tcclog.Infof(\"NodeState move retention: deleted %d rows from db\", cnt)\n   118→\t\t\t\t}\n   119→\t\t\t}))\n   120→}\n   121→"}]},"uuid":"f9762894-9465-4606-966b-0a21d330a11f","timestamp":"2026-03-16T10:18:56.082Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"e1e25d1e-c7dc-441b-9712-fbf86018043c","timestamp":"2026-03-16T10:18:56.082Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"e1e25d1e-c7dc-441b-9712-fbf86018043c","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:56.784Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01SuYm9ETJD4ree6rxCAbJrq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PKJE6CV2D4pFHnZayvhwdS","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go","limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":13120,"cache_read_input_tokens":75153,"cache_creation":{"ephemeral_5m_input_tokens":13120,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b78f4sCfEkDxNjQumS","uuid":"194e08c0-ad26-4440-9b3e-74cae396fccc"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"ae566622-dd01-4566-aeba-40ddd690b103","timestamp":"2026-03-16T10:18:56.785Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"ae566622-dd01-4566-aeba-40ddd690b103","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PKJE6CV2D4pFHnZayvhwdS","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package archiver provides asynchronous job archiving functionality for ClusterCockpit.\n     7→//\n     8→// The archiver runs a background worker goroutine that processes job archiving requests\n     9→// from a buffered channel. When jobs complete, their metric data is archived from the\n    10→// metric store to the configured archive backend (filesystem, S3, etc.).\n    11→//\n    12→// # Architecture\n    13→//\n    14→// The archiver uses a producer-consumer pattern:\n    15→//   - Producer: TriggerArchiving() sends jobs to archiveChannel\n    16→//   - Consumer: archivingWorker() processes jobs from the channel\n    17→//   - Coordination: sync.WaitGroup tracks pending archive operations\n    18→//\n    19→// # Lifecycle\n    20→//\n    21→//  1. Start(repo, ctx) - Initialize worker with context for cancellation\n    22→//  2. TriggerArchiving(job) - Queue job for archiving (called when job stops)\n    23→//  3. archivingWorker() - Background goroutine processes jobs\n    24→//  4. Shutdown(timeout) - Graceful shutdown with timeout\n    25→//\n    26→// # Graceful Shutdown\n    27→//\n    28→// The archiver supports graceful shutdown with configurable timeout:\n    29→//   - Closes channel to reject new jobs\n    30→//   - Waits for pending jobs to complete (up to timeout)\n    31→//   - Cancels context if timeout exceeded\n    32→//   - Ensures worker goroutine exits cleanly\n    33→//\n    34→// # Example Usage\n    35→//\n    36→//\t// Initialize archiver\n    37→//\tctx, cancel := context.WithCancel(context.Background())\n    38→//\tdefer cancel()\n    39→//\tarchiver.Start(jobRepository, ctx)\n    40→//\n    41→//\t// Trigger archiving when job completes\n    42→//\tarchiver.TriggerArchiving(job)\n    43→//\n    44→//\t// Graceful shutdown with 10 second timeout\n    45→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n    46→//\t    log.Printf(\"Archiver shutdown timeout: %v\", err)\n    47→//\t}\n    48→package archiver\n    49→\n    50→import (\n    51→\t\"context\"\n    52→\t\"fmt\"\n    53→\t\"sync\"\n    54→\t\"time\"\n    55→\n    56→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    57→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    58→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    59→\tsq \"github.com/Masterminds/squirrel\"\n    60→)\n    61→\n    62→var (\n    63→\tarchivePending sync.WaitGroup\n    64→\tarchiveChannel chan *schema.Job\n    65→\tjobRepo        *repository.JobRepository\n    66→\tshutdownCtx    context.Context\n    67→\tshutdownCancel context.CancelFunc\n    68→\tworkerDone     chan struct{}\n    69→)\n    70→\n    71→// Start initializes the archiver and starts the background worker goroutine.\n    72→//\n    73→// The archiver processes job archiving requests asynchronously via a buffered channel.\n    74→// Jobs are sent to the channel using TriggerArchiving() and processed by the worker.\n    75→//\n    76→// Parameters:\n    77→//   - r: JobRepository instance for database operations\n    78→//   - ctx: Context for cancellation (shutdown signal propagation)\n    79→//\n    80→// The worker goroutine will run until:\n    81→//   - ctx is cancelled (via parent shutdown)\n    82→//   - archiveChannel is closed (via Shutdown())\n    83→//\n    84→// Must be called before TriggerArchiving(). Safe to call only once.\n    85→func Start(r *repository.JobRepository, ctx context.Context) {\n    86→\tshutdownCtx, shutdownCancel = context.WithCancel(ctx)\n    87→\tarchiveChannel = make(chan *schema.Job, 128)\n    88→\tworkerDone = make(chan struct{})\n    89→\tjobRepo = r\n    90→\n    91→\tgo archivingWorker()\n    92→}\n    93→\n    94→// archivingWorker is the background goroutine that processes job archiving requests.\n    95→//\n    96→// The worker loop:\n    97→//  1. Blocks waiting for jobs on archiveChannel or shutdown signal\n    98→//  2. Fetches job metadata from repository\n    99→//  3. Archives job data to configured backend (calls ArchiveJob)\n   100→//  4. Updates job footprint and energy metrics in database\n   101→//  5. Marks job as successfully archived\n   102→//  6. Calls job stop hooks\n   103→//\n   104→// The worker exits when:\n   105→//   - shutdownCtx is cancelled (timeout during shutdown)\n   106→//   - archiveChannel is closed (normal shutdown)\n   107→//\n   108→// Errors during archiving are logged and the job is marked as failed,\n   109→// but the worker continues processing other jobs.\n   110→func archivingWorker() {\n   111→\tdefer close(workerDone)\n   112→\n   113→\tfor {\n   114→\t\tselect {\n   115→\t\tcase <-shutdownCtx.Done():\n   116→\t\t\tcclog.Info(\"Archive worker received shutdown signal\")\n   117→\t\t\treturn\n   118→\n   119→\t\tcase job, ok := <-archiveChannel:\n   120→\t\t\tif !ok {\n   121→\t\t\t\tcclog.Info(\"Archive channel closed, worker exiting\")\n   122→\t\t\t\treturn\n   123→\t\t\t}\n   124→\n   125→\t\t\tstart := time.Now()\n   126→\t\t\t// not using meta data, called to load JobMeta into Cache?\n   127→\t\t\t// will fail if job meta not in repository\n   128→\t\t\tif _, err := jobRepo.FetchMetadata(job); err != nil {\n   129→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at check metadata step: %s\", *job.ID, err.Error())\n   130→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n   131→\t\t\t\tarchivePending.Done()\n   132→\t\t\t\tcontinue\n   133→\t\t\t}\n   134→\n   135→\t\t\t// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend\n   136→\t\t\t// Use shutdown context to allow cancellation\n   137→\t\t\tjobMeta, err := ArchiveJob(job, shutdownCtx)\n   138→\t\t\tif err != nil {\n   139→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at archiving job step: %s\", *job.ID, err.Error())\n   140→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n   141→\t\t\t\tarchivePending.Done()\n   142→\t\t\t\tcontinue\n   143→\t\t\t}\n   144→\n   145→\t\t\tstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\n   146→\n   147→\t\t\tif stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {\n   148→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Footprint step: %s\", *job.ID, err.Error())\n   149→\t\t\t\tarchivePending.Done()\n   150→\t\t\t\tcontinue"}]},"uuid":"6d86fae3-2604-4302-a1b1-5ca9072c68a7","timestamp":"2026-03-16T10:18:56.805Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"5cc95228-d2e3-4346-b5d6-c0bccc966e9a","timestamp":"2026-03-16T10:18:56.999Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"5cc95228-d2e3-4346-b5d6-c0bccc966e9a","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:57.060Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01SuYm9ETJD4ree6rxCAbJrq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BCix2A6sVowtVAWUTzyezG","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go","limit":200},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":13120,"cache_read_input_tokens":75153,"cache_creation":{"ephemeral_5m_input_tokens":13120,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b78f4sCfEkDxNjQumS","uuid":"d6a67665-3003-4c6d-bf9d-60368843aaba"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"d45047d6-95bc-473b-9ab4-4da9b5bb4c00","timestamp":"2026-03-16T10:18:57.060Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d45047d6-95bc-473b-9ab4-4da9b5bb4c00","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BCix2A6sVowtVAWUTzyezG","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package importer\n     7→\n     8→import (\n     9→\t\"bytes\"\n    10→\t\"encoding/json\"\n    11→\t\"fmt\"\n    12→\t\"os\"\n    13→\t\"strings\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    19→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    20→)\n    21→\n    22→// HandleImportFlag imports jobs from file pairs specified in a comma-separated flag string.\n    23→//\n    24→// The flag format is: \"<path-to-meta.json>:<path-to-data.json>[,<path-to-meta2.json>:<path-to-data2.json>,...]\"\n    25→//\n    26→// For each job pair, this function:\n    27→//  1. Reads and validates the metadata JSON file (schema.Job)\n    28→//  2. Reads and validates the job data JSON file (schema.JobData)\n    29→//  3. Enriches the job with calculated footprints and energy metrics\n    30→//  4. Validates the job using SanityChecks()\n    31→//  5. Imports the job into the archive\n    32→//  6. Inserts the job into the database with associated tags\n    33→//\n    34→// Schema validation is performed if config.Keys.Validate is true.\n    35→//\n    36→// Returns an error if file reading, validation, enrichment, or database operations fail.\n    37→// The function stops processing on the first error encountered.\n    38→func HandleImportFlag(flag string) error {\n    39→\tr := repository.GetJobRepository()\n    40→\n    41→\tfor pair := range strings.SplitSeq(flag, \",\") {\n    42→\t\tfiles := strings.Split(pair, \":\")\n    43→\t\tif len(files) != 2 {\n    44→\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > invalid import flag format\")\n    45→\t\t}\n    46→\n    47→\t\traw, err := os.ReadFile(files[0])\n    48→\t\tif err != nil {\n    49→\t\t\tcclog.Warn(\"Error while reading metadata file for import\")\n    50→\t\t\treturn err\n    51→\t\t}\n    52→\n    53→\t\tif config.Keys.Validate {\n    54→\t\t\tif err = schema.Validate(schema.Meta, bytes.NewReader(raw)); err != nil {\n    55→\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job meta: %v\", err)\n    56→\t\t\t}\n    57→\t\t}\n    58→\t\tdec := json.NewDecoder(bytes.NewReader(raw))\n    59→\t\tdec.DisallowUnknownFields()\n    60→\t\tjob := schema.Job{\n    61→\t\t\tShared:           \"none\",\n    62→\t\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n    63→\t\t}\n    64→\t\tif err = dec.Decode(&job); err != nil {\n    65→\t\t\tcclog.Warn(\"Error while decoding raw json metadata for import\")\n    66→\t\t\treturn err\n    67→\t\t}\n    68→\n    69→\t\traw, err = os.ReadFile(files[1])\n    70→\t\tif err != nil {\n    71→\t\t\tcclog.Warn(\"Error while reading jobdata file for import\")\n    72→\t\t\treturn err\n    73→\t\t}\n    74→\n    75→\t\tif config.Keys.Validate {\n    76→\t\t\tif err = schema.Validate(schema.Data, bytes.NewReader(raw)); err != nil {\n    77→\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job data: %v\", err)\n    78→\t\t\t}\n    79→\t\t}\n    80→\t\tdec = json.NewDecoder(bytes.NewReader(raw))\n    81→\t\tdec.DisallowUnknownFields()\n    82→\t\tjobData := schema.JobData{}\n    83→\t\tif err = dec.Decode(&jobData); err != nil {\n    84→\t\t\tcclog.Warn(\"Error while decoding raw json jobdata for import\")\n    85→\t\t\treturn err\n    86→\t\t}\n    87→\n    88→\t\tjob.MonitoringStatus = schema.MonitoringStatusArchivingSuccessful\n    89→\n    90→\t\tif err = enrichJobMetadata(&job); err != nil {\n    91→\t\t\tcclog.Errorf(\"Error enriching job metadata: %v\", err)\n    92→\t\t\treturn err\n    93→\t\t}\n    94→\n    95→\t\tif err = SanityChecks(&job); err != nil {\n    96→\t\t\tcclog.Warn(\"BaseJob SanityChecks failed\")\n    97→\t\t\treturn err\n    98→\t\t}\n    99→\n   100→\t\tif err = archive.GetHandle().ImportJob(&job, &jobData); err != nil {\n   101→\t\t\tcclog.Error(\"Error while importing job\")\n   102→\t\t\treturn err\n   103→\t\t}\n   104→\n   105→\t\tid, err := r.InsertJobDirect(&job)\n   106→\t\tif err != nil {\n   107→\t\t\tcclog.Warn(\"Error while job db insert\")\n   108→\t\t\treturn err\n   109→\t\t}\n   110→\n   111→\t\tfor _, tag := range job.Tags {\n   112→\t\t\tif err := r.ImportTag(id, tag.Type, tag.Name, tag.Scope); err != nil {\n   113→\t\t\t\tcclog.Error(\"Error while adding or creating tag on import\")\n   114→\t\t\t\treturn err\n   115→\t\t\t}\n   116→\t\t}\n   117→\n   118→\t\tcclog.Infof(\"successfully imported a new job (jobId: %d, cluster: %s, dbid: %d)\", job.JobID, job.Cluster, id)\n   119→\t}\n   120→\treturn nil\n   121→}\n   122→"}]},"uuid":"ca22fa68-3ed2-48a6-821f-5cc1b1f22757","timestamp":"2026-03-16T10:18:57.071Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"31d0c38a-bfcb-4bc0-bfda-d6872b326b0e","timestamp":"2026-03-16T10:18:57.073Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"31d0c38a-bfcb-4bc0-bfda-d6872b326b0e","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:57.080Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Lrz8ddRNW1dyYzAgLt2a4e","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FPFctn7YD2bboFg9SPrNnU","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiver.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3395,"cache_creation_input_tokens":15343,"cache_read_input_tokens":18964,"cache_creation":{"ephemeral_5m_input_tokens":15343,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7KMFmx3TqednMpmZn","uuid":"558e9215-f4cd-48cd-9bbd-41a1b069f026"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"1f7e6571-ade8-4ef3-b024-9b6093bffec6","timestamp":"2026-03-16T10:18:57.080Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"1f7e6571-ade8-4ef3-b024-9b6093bffec6","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FPFctn7YD2bboFg9SPrNnU","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package archiver\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"math\"\n    11→\n    12→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    13→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    15→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    16→)\n    17→\n    18→// ArchiveJob archives a completed job's metric data to the configured archive backend.\n    19→//\n    20→// This function performs the following operations:\n    21→//  1. Loads all metric data for the job from the metric data repository\n    22→//  2. Calculates job-level statistics (avg, min, max) for each metric\n    23→//  3. Stores the job metadata and metric data to the archive backend\n    24→//\n    25→// Metric data is retrieved at the highest available resolution (typically 60s)\n    26→// for the following scopes:\n    27→//   - Node scope (always)\n    28→//   - Core scope (for jobs with ≤8 nodes, to reduce data volume)\n    29→//   - Accelerator scope (if job used accelerators)\n    30→//\n    31→// The function respects context cancellation. If ctx is cancelled (e.g., during\n    32→// shutdown timeout), the operation will be interrupted and return an error.\n    33→//\n    34→// Parameters:\n    35→//   - job: The job to archive (must be a completed job)\n    36→//   - ctx: Context for cancellation and timeout control\n    37→//\n    38→// Returns:\n    39→//   - *schema.Job with populated Statistics field\n    40→//   - error if data loading or archiving fails\n    41→//\n    42→// If config.Keys.DisableArchive is true, only job statistics are calculated\n    43→// and returned (no data is written to archive backend).\n    44→func ArchiveJob(job *schema.Job, ctx context.Context) (*schema.Job, error) {\n    45→\tallMetrics := make([]string, 0)\n    46→\tmetricConfigs := archive.GetCluster(job.Cluster).MetricConfig\n    47→\tfor _, mc := range metricConfigs {\n    48→\t\tallMetrics = append(allMetrics, mc.Name)\n    49→\t}\n    50→\n    51→\tscopes := []schema.MetricScope{schema.MetricScopeNode}\n    52→\t// FIXME: Add a config option for this\n    53→\tif job.NumNodes <= 8 {\n    54→\t\t// This will add the native scope if core scope is not available\n    55→\t\tscopes = append(scopes, schema.MetricScopeCore)\n    56→\t}\n    57→\n    58→\tif job.NumAcc > 0 {\n    59→\t\tscopes = append(scopes, schema.MetricScopeAccelerator)\n    60→\t}\n    61→\n    62→\tjobData, err := metricdispatch.LoadData(job, allMetrics, scopes, ctx, 0) // 0 Resulotion-Value retrieves highest res (60s)\n    63→\tif err != nil {\n    64→\t\tcclog.Error(\"Error wile loading job data for archiving\")\n    65→\t\treturn nil, err\n    66→\t}\n    67→\n    68→\tjob.Statistics = make(map[string]schema.JobStatistics)\n    69→\n    70→\tfor metric, data := range jobData {\n    71→\t\tavg, min, max := 0.0, math.MaxFloat32, -math.MaxFloat32\n    72→\t\tnodeData, ok := data[\"node\"]\n    73→\t\tif !ok {\n    74→\t\t\t// This should never happen ?\n    75→\t\t\tcontinue\n    76→\t\t}\n    77→\n    78→\t\tfor _, series := range nodeData.Series {\n    79→\t\t\tavg += series.Statistics.Avg\n    80→\t\t\tmin = math.Min(min, series.Statistics.Min)\n    81→\t\t\tmax = math.Max(max, series.Statistics.Max)\n    82→\t\t}\n    83→\n    84→\t\t// Round AVG Result to 2 Digits\n    85→\t\tjob.Statistics[metric] = schema.JobStatistics{\n    86→\t\t\tUnit: schema.Unit{\n    87→\t\t\t\tPrefix: archive.GetMetricConfig(job.Cluster, metric).Unit.Prefix,\n    88→\t\t\t\tBase:   archive.GetMetricConfig(job.Cluster, metric).Unit.Base,\n    89→\t\t\t},\n    90→\t\t\tAvg: (math.Round((avg/float64(job.NumNodes))*100) / 100),\n    91→\t\t\tMin: min,\n    92→\t\t\tMax: max,\n    93→\t\t}\n    94→\t}\n    95→\n    96→\treturn job, archive.GetHandle().ImportJob(job, &jobData)\n    97→}\n    98→"}]},"uuid":"0f97dce8-97fa-47db-8e68-42c8ecf0394e","timestamp":"2026-03-16T10:18:57.083Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"6859b3f5-7744-4937-a42d-9a53bf815a8d","timestamp":"2026-03-16T10:18:57.083Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"6859b3f5-7744-4937-a42d-9a53bf815a8d","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:57.329Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01SuYm9ETJD4ree6rxCAbJrq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011rJJPwd34bsw3YNZxcu7rN","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/initDB.go","limit":200},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":13120,"cache_read_input_tokens":75153,"cache_creation":{"ephemeral_5m_input_tokens":13120,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b78f4sCfEkDxNjQumS","uuid":"d77736fa-a88d-4307-95f5-09fbe08a2e5b"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"c56a655c-046a-48f4-8d7b-8994f6d6d536","timestamp":"2026-03-16T10:18:57.330Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"c56a655c-046a-48f4-8d7b-8994f6d6d536","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011rJJPwd34bsw3YNZxcu7rN","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package importer provides functionality for importing job data into the ClusterCockpit database.\n     7→//\n     8→// The package supports two primary use cases:\n     9→//  1. Bulk database initialization from archived jobs via InitDB()\n    10→//  2. Individual job import from file pairs via HandleImportFlag()\n    11→//\n    12→// Both operations enrich job metadata by calculating footprints and energy metrics\n    13→// before persisting to the database.\n    14→package importer\n    15→\n    16→import (\n    17→\t\"encoding/json\"\n    18→\t\"fmt\"\n    19→\t\"math\"\n    20→\t\"strings\"\n    21→\t\"time\"\n    22→\n    23→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    24→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    25→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    26→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    27→)\n    28→\n    29→const (\n    30→\taddTagQuery = \"INSERT INTO tag (tag_name, tag_type) VALUES (?, ?)\"\n    31→\tsetTagQuery = \"INSERT INTO jobtag (job_id, tag_id) VALUES (?, ?)\"\n    32→)\n    33→\n    34→// InitDB reinitializes the job database from archived job data.\n    35→//\n    36→// This function performs the following operations:\n    37→//  1. Flushes existing job, tag, and jobtag tables\n    38→//  2. Iterates through all jobs in the archive\n    39→//  3. Enriches each job with calculated footprints and energy metrics\n    40→//  4. Inserts jobs and tags into the database in batched transactions\n    41→//\n    42→// Jobs are processed in batches of 100 for optimal performance. The function\n    43→// continues processing even if individual jobs fail, logging errors and\n    44→// returning a summary at the end.\n    45→//\n    46→// Returns an error if database initialization, transaction management, or\n    47→// critical operations fail. Individual job failures are logged but do not\n    48→// stop the overall import process.\n    49→func InitDB() error {\n    50→\tr := repository.GetJobRepository()\n    51→\tif err := r.Flush(); err != nil {\n    52→\t\tcclog.Errorf(\"repository initDB(): %v\", err)\n    53→\t\treturn err\n    54→\t}\n    55→\tstarttime := time.Now()\n    56→\tcclog.Print(\"Building job table...\")\n    57→\n    58→\tt, err := r.TransactionInit()\n    59→\tif err != nil {\n    60→\t\tcclog.Warn(\"Error while initializing SQL transactions\")\n    61→\t\treturn err\n    62→\t}\n    63→\ttags := make(map[string]int64)\n    64→\n    65→\t// Not using cclog.Print because we want the line to end with `\\r` and\n    66→\t// this function is only ever called when a special command line flag\n    67→\t// is passed anyways.\n    68→\tfmt.Printf(\"%d jobs inserted...\\r\", 0)\n    69→\n    70→\tar := archive.GetHandle()\n    71→\ti := 0\n    72→\terrorOccured := 0\n    73→\n    74→\tfor jobContainer := range ar.Iter(false) {\n    75→\n    76→\t\tjobMeta := jobContainer.Meta\n    77→\t\tif jobMeta == nil {\n    78→\t\t\tcclog.Warn(\"skipping job with nil metadata\")\n    79→\t\t\terrorOccured++\n    80→\t\t\tcontinue\n    81→\t\t}\n    82→\n    83→\t\t// Bundle 100 inserts into one transaction for better performance\n    84→\t\tif i%100 == 0 {\n    85→\t\t\tif i > 0 {\n    86→\t\t\t\tif err := t.Commit(); err != nil {\n    87→\t\t\t\t\tcclog.Errorf(\"transaction commit error: %v\", err)\n    88→\t\t\t\t\treturn err\n    89→\t\t\t\t}\n    90→\t\t\t\t// Start a new transaction for the next batch\n    91→\t\t\t\tt, err = r.TransactionInit()\n    92→\t\t\t\tif err != nil {\n    93→\t\t\t\t\tcclog.Errorf(\"transaction init error: %v\", err)\n    94→\t\t\t\t\treturn err\n    95→\t\t\t\t}\n    96→\t\t\t}\n    97→\t\t\tfmt.Printf(\"%d jobs inserted...\\r\", i)\n    98→\t\t}\n    99→\n   100→\t\tjobMeta.MonitoringStatus = schema.MonitoringStatusArchivingSuccessful\n   101→\n   102→\t\tif err := enrichJobMetadata(jobMeta); err != nil {\n   103→\t\t\tcclog.Errorf(\"repository initDB(): %v\", err)\n   104→\t\t\terrorOccured++\n   105→\t\t\tcontinue\n   106→\t\t}\n   107→\n   108→\t\tif err := SanityChecks(jobMeta); err != nil {\n   109→\t\t\tcclog.Errorf(\"repository initDB(): %v\", err)\n   110→\t\t\terrorOccured++\n   111→\t\t\tcontinue\n   112→\t\t}\n   113→\n   114→\t\tid, jobErr := r.TransactionAddNamed(t,\n   115→\t\t\trepository.NamedJobInsert, jobMeta)\n   116→\t\tif jobErr != nil {\n   117→\t\t\tcclog.Errorf(\"repository initDB(): %v\", jobErr)\n   118→\t\t\terrorOccured++\n   119→\t\t\tcontinue\n   120→\t\t}\n   121→\n   122→\t\t// Job successfully inserted, increment counter\n   123→\t\ti += 1\n   124→\n   125→\t\tfor _, tag := range jobMeta.Tags {\n   126→\t\t\ttagstr := tag.Name + \":\" + tag.Type\n   127→\t\t\ttagID, ok := tags[tagstr]\n   128→\t\t\tif !ok {\n   129→\t\t\t\tvar err error\n   130→\t\t\t\ttagID, err = r.TransactionAdd(t,\n   131→\t\t\t\t\taddTagQuery,\n   132→\t\t\t\t\ttag.Name, tag.Type)\n   133→\t\t\t\tif err != nil {\n   134→\t\t\t\t\tcclog.Errorf(\"Error adding tag: %v\", err)\n   135→\t\t\t\t\terrorOccured++\n   136→\t\t\t\t\tcontinue\n   137→\t\t\t\t}\n   138→\t\t\t\ttags[tagstr] = tagID\n   139→\t\t\t}\n   140→\n   141→\t\t\tr.TransactionAdd(t,\n   142→\t\t\t\tsetTagQuery,\n   143→\t\t\t\tid, tagID)\n   144→\t\t}\n   145→\t}\n   146→\n   147→\tif errorOccured > 0 {\n   148→\t\tcclog.Warnf(\"Error in import of %d jobs!\", errorOccured)\n   149→\t}\n   150→\n   151→\tr.TransactionEnd(t)\n   152→\tcclog.Infof(\"A total of %d jobs have been registered in %.3f seconds.\", i, time.Since(starttime).Seconds())\n   153→\treturn nil\n   154→}\n   155→\n   156→// enrichJobMetadata calculates and populates job footprints, energy metrics, and serialized fields.\n   157→//\n   158→// This function performs the following enrichment operations:\n   159→//  1. Calculates job footprint metrics based on the subcluster configuration\n   160→//  2. Computes energy footprint and total energy consumption in kWh\n   161→//  3. Marshals footprints, resources, and metadata into JSON for database storage\n   162→//\n   163→// The function expects the job's MonitoringStatus and SubCluster to be already set.\n   164→// Energy calculations convert power metrics (Watts) to energy (kWh) using the formula:\n   165→//\n   166→//\tEnergy (kWh) = (Power (W) * Duration (s) / 3600) / 1000\n   167→//\n   168→// Returns an error if subcluster retrieval, metric indexing, or JSON marshaling fails.\n   169→func enrichJobMetadata(job *schema.Job) error {\n   170→\tsc, err := archive.GetSubCluster(job.Cluster, job.SubCluster)\n   171→\tif err != nil {\n   172→\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())\n   173→\t\treturn err\n   174→\t}\n   175→\n   176→\tjob.Footprint = make(map[string]float64)\n   177→\n   178→\tfor _, fp := range sc.Footprint {\n   179→\t\tstatType := \"avg\"\n   180→\n   181→\t\tif i, err := archive.MetricIndex(sc.MetricConfig, fp); err != nil {\n   182→\t\t\tstatType = sc.MetricConfig[i].Footprint\n   183→\t\t}\n   184→\n   185→\t\tname := fmt.Sprintf(\"%s_%s\", fp, statType)\n   186→\n   187→\t\tjob.Footprint[name] = repository.LoadJobStat(job, fp, statType)\n   188→\t}\n   189→\n   190→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   191→\tif err != nil {\n   192→\t\tcclog.Warn(\"Error while marshaling job footprint\")\n   193→\t\treturn err\n   194→\t}\n   195→\n   196→\tjob.EnergyFootprint = make(map[string]float64)\n   197→\n   198→\t// Total Job Energy Outside Loop\n   199→\ttotalEnergy := 0.0\n   200→\tfor _, fp := range sc.EnergyFootprint {"}]},"uuid":"4407068c-6ca3-426f-88f7-c521c21cd0a5","timestamp":"2026-03-16T10:18:57.345Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"d9c88ef0-c3f8-42c4-9dd2-3a8da84fc718","timestamp":"2026-03-16T10:18:57.350Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"aa891431-52a8-45b4-9c57-2437200dddf9","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012EPYaVpBxKQ7QQCci4VrHf","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package importer\n     7→\n     8→import (\n     9→\t\"bytes\"\n    10→\t\"encoding/json\"\n    11→\t\"fmt\"\n    12→\t\"os\"\n    13→\t\"strings\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    19→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    20→)\n    21→\n    22→// HandleImportFlag imports jobs from file pairs specified in a comma-separated flag string.\n    23→//\n    24→// The flag format is: \"<path-to-meta.json>:<path-to-data.json>[,<path-to-meta2.json>:<path-to-data2.json>,...]\"\n    25→//\n    26→// For each job pair, this function:\n    27→//  1. Reads and validates the metadata JSON file (schema.Job)\n    28→//  2. Reads and validates the job data JSON file (schema.JobData)\n    29→//  3. Enriches the job with calculated footprints and energy metrics\n    30→//  4. Validates the job using SanityChecks()\n    31→//  5. Imports the job into the archive\n    32→//  6. Inserts the job into the database with associated tags\n    33→//\n    34→// Schema validation is performed if config.Keys.Validate is true.\n    35→//\n    36→// Returns an error if file reading, validation, enrichment, or database operations fail.\n    37→// The function stops processing on the first error encountered.\n    38→func HandleImportFlag(flag string) error {\n    39→\tr := repository.GetJobRepository()\n    40→\n    41→\tfor pair := range strings.SplitSeq(flag, \",\") {\n    42→\t\tfiles := strings.Split(pair, \":\")\n    43→\t\tif len(files) != 2 {\n    44→\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > invalid import flag format\")\n    45→\t\t}\n    46→\n    47→\t\traw, err := os.ReadFile(files[0])\n    48→\t\tif err != nil {\n    49→\t\t\tcclog.Warn(\"Error while reading metadata file for import\")\n    50→\t\t\treturn err\n    51→\t\t}\n    52→\n    53→\t\tif config.Keys.Validate {\n    54→\t\t\tif err = schema.Validate(schema.Meta, bytes.NewReader(raw)); err != nil {\n    55→\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job meta: %v\", err)\n    56→\t\t\t}\n    57→\t\t}\n    58→\t\tdec := json.NewDecoder(bytes.NewReader(raw))\n    59→\t\tdec.DisallowUnknownFields()\n    60→\t\tjob := schema.Job{\n    61→\t\t\tShared:           \"none\",\n    62→\t\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n    63→\t\t}\n    64→\t\tif err = dec.Decode(&job); err != nil {\n    65→\t\t\tcclog.Warn(\"Error while decoding raw json metadata for import\")\n    66→\t\t\treturn err\n    67→\t\t}\n    68→\n    69→\t\traw, err = os.ReadFile(files[1])\n    70→\t\tif err != nil {\n    71→\t\t\tcclog.Warn(\"Error while reading jobdata file for import\")\n    72→\t\t\treturn err\n    73→\t\t}\n    74→\n    75→\t\tif config.Keys.Validate {\n    76→\t\t\tif err = schema.Validate(schema.Data, bytes.NewReader(raw)); err != nil {\n    77→\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job data: %v\", err)\n    78→\t\t\t}\n    79→\t\t}\n    80→\t\tdec = json.NewDecoder(bytes.NewReader(raw))\n    81→\t\tdec.DisallowUnknownFields()\n    82→\t\tjobData := schema.JobData{}\n    83→\t\tif err = dec.Decode(&jobData); err != nil {\n    84→\t\t\tcclog.Warn(\"Error while decoding raw json jobdata for import\")\n    85→\t\t\treturn err\n    86→\t\t}\n    87→\n    88→\t\tjob.MonitoringStatus = schema.MonitoringStatusArchivingSuccessful\n    89→\n    90→\t\tif err = enrichJobMetadata(&job); err != nil {\n    91→\t\t\tcclog.Errorf(\"Error enriching job metadata: %v\", err)\n    92→\t\t\treturn err\n    93→\t\t}\n    94→\n    95→\t\tif err = SanityChecks(&job); err != nil {\n    96→\t\t\tcclog.Warn(\"BaseJob SanityChecks failed\")\n    97→\t\t\treturn err\n    98→\t\t}\n    99→\n   100→\t\tif err = archive.GetHandle().ImportJob(&job, &jobData); err != nil {\n   101→\t\t\tcclog.Error(\"Error while importing job\")\n   102→\t\t\treturn err\n   103→\t\t}\n   104→\n   105→\t\tid, err := r.InsertJobDirect(&job)\n   106→\t\tif err != nil {\n   107→\t\t\tcclog.Warn(\"Error while job db insert\")\n   108→\t\t\treturn err\n   109→\t\t}\n   110→\n   111→\t\tfor _, tag := range job.Tags {\n   112→\t\t\tif err := r.ImportTag(id, tag.Type, tag.Name, tag.Scope); err != nil {\n   113→\t\t\t\tcclog.Error(\"Error while adding or creating tag on import\")\n   114→\t\t\t\treturn err\n   115→\t\t\t}\n   116→\t\t}\n   117→\n   118→\t\tcclog.Infof(\"successfully imported a new job (jobId: %d, cluster: %s, dbid: %d)\", job.JobID, job.Cluster, id)\n   119→\t}\n   120→\treturn nil\n   121→}\n   122→"}]},"uuid":"caa6d023-db8d-45b7-9f8b-bcecf261ee9b","timestamp":"2026-03-16T10:18:58.372Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"f82f0dfd-9389-4aef-aa4b-03c9867b17ea","timestamp":"2026-03-16T10:18:58.392Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"093a7028-5f48-4791-8f33-45b30221ba4e","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WGYVBFCWU9MaBcsSh2v6TC","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package repository\n     6→\n     7→import (\n     8→\t\"fmt\"\n     9→\n    10→\t\"github.com/jmoiron/sqlx\"\n    11→)\n    12→\n    13→// Transaction wraps a database transaction for job-related operations.\n    14→type Transaction struct {\n    15→\ttx *sqlx.Tx\n    16→}\n    17→\n    18→// TransactionInit begins a new transaction.\n    19→func (r *JobRepository) TransactionInit() (*Transaction, error) {\n    20→\ttx, err := r.DB.Beginx()\n    21→\tif err != nil {\n    22→\t\treturn nil, fmt.Errorf(\"beginning transaction: %w\", err)\n    23→\t}\n    24→\treturn &Transaction{tx: tx}, nil\n    25→}\n    26→\n    27→// Commit commits the transaction.\n    28→// After calling Commit, the transaction should not be used again.\n    29→func (t *Transaction) Commit() error {\n    30→\tif t.tx == nil {\n    31→\t\treturn fmt.Errorf(\"transaction already committed or rolled back\")\n    32→\t}\n    33→\terr := t.tx.Commit()\n    34→\tt.tx = nil // Mark as completed\n    35→\tif err != nil {\n    36→\t\treturn fmt.Errorf(\"committing transaction: %w\", err)\n    37→\t}\n    38→\treturn nil\n    39→}\n    40→\n    41→// Rollback rolls back the transaction.\n    42→// It's safe to call Rollback on an already committed or rolled back transaction.\n    43→func (t *Transaction) Rollback() error {\n    44→\tif t.tx == nil {\n    45→\t\treturn nil // Already committed/rolled back\n    46→\t}\n    47→\terr := t.tx.Rollback()\n    48→\tt.tx = nil // Mark as completed\n    49→\tif err != nil {\n    50→\t\treturn fmt.Errorf(\"rolling back transaction: %w\", err)\n    51→\t}\n    52→\treturn nil\n    53→}\n    54→\n    55→// TransactionEnd commits the transaction.\n    56→// Deprecated: Use Commit() instead.\n    57→func (r *JobRepository) TransactionEnd(t *Transaction) error {\n    58→\treturn t.Commit()\n    59→}\n    60→\n    61→// TransactionAddNamed executes a named query within the transaction.\n    62→func (r *JobRepository) TransactionAddNamed(\n    63→\tt *Transaction,\n    64→\tquery string,\n    65→\targs ...any,\n    66→) (int64, error) {\n    67→\tif t.tx == nil {\n    68→\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n    69→\t}\n    70→\n    71→\tres, err := t.tx.NamedExec(query, args)\n    72→\tif err != nil {\n    73→\t\treturn 0, fmt.Errorf(\"named exec: %w\", err)\n    74→\t}\n    75→\n    76→\tid, err := res.LastInsertId()\n    77→\tif err != nil {\n    78→\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n    79→\t}\n    80→\n    81→\treturn id, nil\n    82→}\n    83→\n    84→// TransactionAdd executes a query within the transaction.\n    85→func (r *JobRepository) TransactionAdd(t *Transaction, query string, args ...any) (int64, error) {\n    86→\tif t.tx == nil {\n    87→\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n    88→\t}\n    89→\n    90→\tres, err := t.tx.Exec(query, args...)\n    91→\tif err != nil {\n    92→\t\treturn 0, fmt.Errorf(\"exec: %w\", err)\n    93→\t}\n    94→\n    95→\tid, err := res.LastInsertId()\n    96→\tif err != nil {\n    97→\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n    98→\t}\n    99→\n   100→\treturn id, nil\n   101→}\n   102→"}]},"uuid":"12ed7ae8-b6d8-46d9-bea3-1bb398d27b5f","timestamp":"2026-03-16T10:18:58.648Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"49d9c229-1f03-4e86-9428-b566dcbfe494","timestamp":"2026-03-16T10:18:58.689Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"49d9c229-1f03-4e86-9428-b566dcbfe494","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ALrm85FgoGJsoVYUDaZvMd","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package api provides the REST API layer for ClusterCockpit.\n     7→// It handles HTTP requests for job management, user administration,\n     8→// cluster queries, node state updates, and metrics storage operations.\n     9→// The API supports both JWT token authentication and session-based authentication.\n    10→package api\n    11→\n    12→import (\n    13→\t\"encoding/json\"\n    14→\t\"fmt\"\n    15→\t\"io\"\n    16→\t\"net/http\"\n    17→\t\"os\"\n    18→\t\"path/filepath\"\n    19→\t\"strings\"\n    20→\t\"sync\"\n    21→\n    22→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n    23→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    24→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    25→\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n    26→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    27→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    28→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n    29→\t\"github.com/go-chi/chi/v5\"\n    30→)\n    31→\n    32→// @title                      ClusterCockpit REST API\n    33→// @version                    1.0.0\n    34→// @description                API for batch job control.\n    35→\n    36→// @contact.name               ClusterCockpit Project\n    37→// @contact.url                https://github.com/ClusterCockpit\n    38→// @contact.email              support@clustercockpit.org\n    39→\n    40→// @license.name               MIT License\n    41→// @license.url                https://opensource.org/licenses/MIT\n    42→\n    43→// @host                       localhost:8080\n    44→\n    45→// @securityDefinitions.apikey ApiKeyAuth\n    46→// @in                         header\n    47→// @name                       X-Auth-Token\n    48→\n    49→const (\n    50→\tnoticeFilePath  = \"./var/notice.txt\"\n    51→\tnoticeFilePerms = 0o644\n    52→\tmaxNoticeLength = 10000 // Maximum allowed notice content length in characters\n    53→)\n    54→\n    55→type RestAPI struct {\n    56→\tJobRepository   *repository.JobRepository\n    57→\tAuthentication  *auth.Authentication\n    58→\tMachineStateDir string\n    59→\t// RepositoryMutex protects job creation operations from race conditions\n    60→\t// when checking for duplicate jobs during startJob API calls.\n    61→\t// It prevents concurrent job starts with the same jobId/cluster/startTime\n    62→\t// from creating duplicate entries in the database.\n    63→\tRepositoryMutex sync.Mutex\n    64→}\n    65→\n    66→// New creates and initializes a new RestAPI instance with configured dependencies.\n    67→func New() *RestAPI {\n    68→\treturn &RestAPI{\n    69→\t\tJobRepository:   repository.GetJobRepository(),\n    70→\t\tMachineStateDir: config.Keys.MachineStateDir,\n    71→\t\tAuthentication:  auth.GetAuthInstance(),\n    72→\t}\n    73→}\n    74→\n    75→// MountAPIRoutes registers REST API endpoints for job and cluster management.\n    76→// These routes use JWT token authentication via the X-Auth-Token header.\n    77→func (api *RestAPI) MountAPIRoutes(r chi.Router) {\n    78→\t// REST API Uses TokenAuth\n    79→\t// User List\n    80→\tr.Get(\"/users/\", api.getUsers)\n    81→\t// Cluster List\n    82→\tr.Get(\"/clusters/\", api.getClusters)\n    83→\t// Slurm node state\n    84→\tr.Post(\"/nodestate/\", api.updateNodeStates)\n    85→\tr.Put(\"/nodestate/\", api.updateNodeStates)\n    86→\t// Job Handler\n    87→\tif config.Keys.APISubjects == nil {\n    88→\t\tcclog.Info(\"Enabling REST start/stop job API\")\n    89→\t\tr.Post(\"/jobs/start_job/\", api.startJob)\n    90→\t\tr.Put(\"/jobs/start_job/\", api.startJob)\n    91→\t\tr.Post(\"/jobs/stop_job/\", api.stopJobByRequest)\n    92→\t\tr.Put(\"/jobs/stop_job/\", api.stopJobByRequest)\n    93→\t}\n    94→\tr.Get(\"/jobs/\", api.getJobs)\n    95→\tr.Get(\"/jobs/used_nodes\", api.getUsedNodes)\n    96→\tr.Post(\"/jobs/tag_job/{id}\", api.tagJob)\n    97→\tr.Patch(\"/jobs/tag_job/{id}\", api.tagJob)\n    98→\tr.Delete(\"/jobs/tag_job/{id}\", api.removeTagJob)\n    99→\tr.Patch(\"/jobs/edit_meta/{id}\", api.editMeta)\n   100→\tr.Patch(\"/jobs/edit_meta/\", api.editMetaByRequest)\n   101→\tr.Get(\"/jobs/metrics/{id}\", api.getJobMetrics)\n   102→\tr.Delete(\"/jobs/delete_job/\", api.deleteJobByRequest)\n   103→\tr.Delete(\"/jobs/delete_job/{id}\", api.deleteJobByID)\n   104→\tr.Delete(\"/jobs/delete_job_before/{ts}\", api.deleteJobBefore)\n   105→\tr.Post(\"/jobs/{id}\", api.getJobByID)\n   106→\tr.Get(\"/jobs/{id}\", api.getCompleteJobByID)\n   107→\n   108→\tr.Delete(\"/tags/\", api.removeTags)\n   109→\n   110→\tif api.MachineStateDir != \"\" {\n   111→\t\tr.Get(\"/machine_state/{cluster}/{host}\", api.getMachineState)\n   112→\t\tr.Put(\"/machine_state/{cluster}/{host}\", api.putMachineState)\n   113→\t\tr.Post(\"/machine_state/{cluster}/{host}\", api.putMachineState)\n   114→\t}\n   115→}\n   116→\n   117→// MountUserAPIRoutes registers user-accessible REST API endpoints.\n   118→// These are limited endpoints for regular users with JWT token authentication.\n   119→func (api *RestAPI) MountUserAPIRoutes(r chi.Router) {\n   120→\t// REST API Uses TokenAuth\n   121→\tr.Get(\"/jobs/\", api.getJobs)\n   122→\tr.Post(\"/jobs/{id}\", api.getJobByID)\n   123→\tr.Get(\"/jobs/{id}\", api.getCompleteJobByID)\n   124→\tr.Get(\"/jobs/metrics/{id}\", api.getJobMetrics)\n   125→}\n   126→\n   127→// MountMetricStoreAPIRoutes registers metric storage API endpoints.\n   128→// These endpoints handle metric data ingestion and health checks with JWT token authentication.\n   129→func (api *RestAPI) MountMetricStoreAPIRoutes(r chi.Router) {\n   130→\t// REST API Uses TokenAuth\n   131→\tr.Post(\"/free\", freeMetrics)\n   132→\tr.Post(\"/write\", writeMetrics)\n   133→\tr.Get(\"/debug\", debugMetrics)\n   134→\tr.Post(\"/healthcheck\", api.updateNodeStates)\n   135→\t// Same endpoints but with trailing slash\n   136→\tr.Post(\"/free/\", freeMetrics)\n   137→\tr.Post(\"/write/\", writeMetrics)\n   138→\tr.Get(\"/debug/\", debugMetrics)\n   139→\tr.Post(\"/healthcheck/\", api.updateNodeStates)\n   140→}\n   141→\n   142→// MountConfigAPIRoutes registers configuration and user management endpoints.\n   143→// These routes use session-based authentication and require admin privileges.\n   144→// Routes use full paths (including /config prefix) to avoid conflicting with\n   145→// the /config page route when registered via Group instead of Route.\n   146→func (api *RestAPI) MountConfigAPIRoutes(r chi.Router) {\n   147→\t// Settings Frontend Uses SessionAuth\n   148→\tif api.Authentication != nil {\n   149→\t\tr.Get(\"/config/roles/\", api.getRoles)\n   150→\t\tr.Post(\"/config/users/\", api.createUser)\n   151→\t\tr.Put(\"/config/users/\", api.createUser)\n   152→\t\tr.Get(\"/config/users/\", api.getUsers)\n   153→\t\tr.Delete(\"/config/users/\", api.deleteUser)\n   154→\t\tr.Post(\"/config/user/{id}\", api.updateUser)\n   155→\t\tr.Post(\"/config/notice/\", api.editNotice)\n   156→\t\tr.Get(\"/config/taggers/\", api.getTaggers)\n   157→\t\tr.Post(\"/config/taggers/run/\", api.runTagger)\n   158→\t}\n   159→}\n   160→\n   161→// MountFrontendAPIRoutes registers frontend-specific API endpoints.\n   162→// These routes support JWT generation and user configuration updates with session authentication.\n   163→func (api *RestAPI) MountFrontendAPIRoutes(r chi.Router) {\n   164→\tr.Get(\"/logs/\", api.getJournalLog)\n   165→\t// Settings Frontend Uses SessionAuth\n   166→\tif api.Authentication != nil {\n   167→\t\tr.Get(\"/jwt/\", api.getJWT)\n   168→\t\tr.Post(\"/configuration/\", api.updateConfiguration)\n   169→\t}\n   170→}\n   171→\n   172→// ErrorResponse model\n   173→type ErrorResponse struct {\n   174→\t// Statustext of Errorcode\n   175→\tStatus string `json:\"status\"`\n   176→\tError  string `json:\"error\"` // Error Message\n   177→}\n   178→\n   179→// DefaultAPIResponse model\n   180→type DefaultAPIResponse struct {\n   181→\tMessage string `json:\"msg\"`\n   182→}\n   183→\n   184→// handleError writes a standardized JSON error response with the given status code.\n   185→// It logs the error at WARN level and ensures proper Content-Type headers are set.\n   186→func handleError(err error, statusCode int, rw http.ResponseWriter) {\n   187→\tcclog.Warnf(\"REST ERROR : %s\", err.Error())\n   188→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   189→\trw.WriteHeader(statusCode)\n   190→\tif err := json.NewEncoder(rw).Encode(ErrorResponse{\n   191→\t\tStatus: http.StatusText(statusCode),\n   192→\t\tError:  err.Error(),\n   193→\t}); err != nil {\n   194→\t\tcclog.Errorf(\"Failed to encode error response: %v\", err)\n   195→\t}\n   196→}\n   197→\n   198→// decode reads JSON from r into val with strict validation that rejects unknown fields.\n   199→func decode(r io.Reader, val any) error {\n   200→\tdec := json.NewDecoder(r)"}]},"uuid":"2e0a6cb3-1f28-46f1-87e6-a875039aa9d6","timestamp":"2026-03-16T10:18:58.656Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"3eddec24-5f8b-4434-a6a4-b70ad17f6140","timestamp":"2026-03-16T10:18:58.812Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"3eddec24-5f8b-4434-a6a4-b70ad17f6140","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:58.825Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01ALdPouxfK13qWn8xm2scWv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QmfGnBNV3YMSkcKJ6z4wjb","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":8581,"cache_read_input_tokens":32724,"cache_creation":{"ephemeral_5m_input_tokens":8581,"ephemeral_1h_input_tokens":0},"output_tokens":25,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7UaswaikLFwn5Yxwb","uuid":"23cdd152-f5cb-41ae-b643-7054ec852132"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"0bd3ee40-40ba-455c-9646-0d43ed7f8689","timestamp":"2026-03-16T10:18:58.825Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"0bd3ee40-40ba-455c-9646-0d43ed7f8689","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QmfGnBNV3YMSkcKJ6z4wjb","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package archiver provides asynchronous job archiving functionality for ClusterCockpit.\n     7→//\n     8→// The archiver runs a background worker goroutine that processes job archiving requests\n     9→// from a buffered channel. When jobs complete, their metric data is archived from the\n    10→// metric store to the configured archive backend (filesystem, S3, etc.).\n    11→//\n    12→// # Architecture\n    13→//\n    14→// The archiver uses a producer-consumer pattern:\n    15→//   - Producer: TriggerArchiving() sends jobs to archiveChannel\n    16→//   - Consumer: archivingWorker() processes jobs from the channel\n    17→//   - Coordination: sync.WaitGroup tracks pending archive operations\n    18→//\n    19→// # Lifecycle\n    20→//\n    21→//  1. Start(repo, ctx) - Initialize worker with context for cancellation\n    22→//  2. TriggerArchiving(job) - Queue job for archiving (called when job stops)\n    23→//  3. archivingWorker() - Background goroutine processes jobs\n    24→//  4. Shutdown(timeout) - Graceful shutdown with timeout\n    25→//\n    26→// # Graceful Shutdown\n    27→//\n    28→// The archiver supports graceful shutdown with configurable timeout:\n    29→//   - Closes channel to reject new jobs\n    30→//   - Waits for pending jobs to complete (up to timeout)\n    31→//   - Cancels context if timeout exceeded\n    32→//   - Ensures worker goroutine exits cleanly\n    33→//\n    34→// # Example Usage\n    35→//\n    36→//\t// Initialize archiver\n    37→//\tctx, cancel := context.WithCancel(context.Background())\n    38→//\tdefer cancel()\n    39→//\tarchiver.Start(jobRepository, ctx)\n    40→//\n    41→//\t// Trigger archiving when job completes\n    42→//\tarchiver.TriggerArchiving(job)\n    43→//\n    44→//\t// Graceful shutdown with 10 second timeout\n    45→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n    46→//\t    log.Printf(\"Archiver shutdown timeout: %v\", err)\n    47→//\t}\n    48→package archiver\n    49→\n    50→import (\n    51→\t\"context\"\n    52→\t\"fmt\"\n    53→\t\"sync\"\n    54→\t\"time\"\n    55→\n    56→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    57→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    58→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    59→\tsq \"github.com/Masterminds/squirrel\"\n    60→)\n    61→\n    62→var (\n    63→\tarchivePending sync.WaitGroup\n    64→\tarchiveChannel chan *schema.Job\n    65→\tjobRepo        *repository.JobRepository\n    66→\tshutdownCtx    context.Context\n    67→\tshutdownCancel context.CancelFunc\n    68→\tworkerDone     chan struct{}\n    69→)\n    70→\n    71→// Start initializes the archiver and starts the background worker goroutine.\n    72→//\n    73→// The archiver processes job archiving requests asynchronously via a buffered channel.\n    74→// Jobs are sent to the channel using TriggerArchiving() and processed by the worker.\n    75→//\n    76→// Parameters:\n    77→//   - r: JobRepository instance for database operations\n    78→//   - ctx: Context for cancellation (shutdown signal propagation)\n    79→//\n    80→// The worker goroutine will run until:\n    81→//   - ctx is cancelled (via parent shutdown)\n    82→//   - archiveChannel is closed (via Shutdown())\n    83→//\n    84→// Must be called before TriggerArchiving(). Safe to call only once.\n    85→func Start(r *repository.JobRepository, ctx context.Context) {\n    86→\tshutdownCtx, shutdownCancel = context.WithCancel(ctx)\n    87→\tarchiveChannel = make(chan *schema.Job, 128)\n    88→\tworkerDone = make(chan struct{})\n    89→\tjobRepo = r\n    90→\n    91→\tgo archivingWorker()\n    92→}\n    93→\n    94→// archivingWorker is the background goroutine that processes job archiving requests.\n    95→//\n    96→// The worker loop:\n    97→//  1. Blocks waiting for jobs on archiveChannel or shutdown signal\n    98→//  2. Fetches job metadata from repository\n    99→//  3. Archives job data to configured backend (calls ArchiveJob)\n   100→//  4. Updates job footprint and energy metrics in database\n   101→//  5. Marks job as successfully archived\n   102→//  6. Calls job stop hooks\n   103→//\n   104→// The worker exits when:\n   105→//   - shutdownCtx is cancelled (timeout during shutdown)\n   106→//   - archiveChannel is closed (normal shutdown)\n   107→//\n   108→// Errors during archiving are logged and the job is marked as failed,\n   109→// but the worker continues processing other jobs.\n   110→func archivingWorker() {\n   111→\tdefer close(workerDone)\n   112→\n   113→\tfor {\n   114→\t\tselect {\n   115→\t\tcase <-shutdownCtx.Done():\n   116→\t\t\tcclog.Info(\"Archive worker received shutdown signal\")\n   117→\t\t\treturn\n   118→\n   119→\t\tcase job, ok := <-archiveChannel:\n   120→\t\t\tif !ok {\n   121→\t\t\t\tcclog.Info(\"Archive channel closed, worker exiting\")\n   122→\t\t\t\treturn\n   123→\t\t\t}\n   124→\n   125→\t\t\tstart := time.Now()\n   126→\t\t\t// not using meta data, called to load JobMeta into Cache?\n   127→\t\t\t// will fail if job meta not in repository\n   128→\t\t\tif _, err := jobRepo.FetchMetadata(job); err != nil {\n   129→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at check metadata step: %s\", *job.ID, err.Error())\n   130→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n   131→\t\t\t\tarchivePending.Done()\n   132→\t\t\t\tcontinue\n   133→\t\t\t}\n   134→\n   135→\t\t\t// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend\n   136→\t\t\t// Use shutdown context to allow cancellation\n   137→\t\t\tjobMeta, err := ArchiveJob(job, shutdownCtx)\n   138→\t\t\tif err != nil {\n   139→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at archiving job step: %s\", *job.ID, err.Error())\n   140→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n   141→\t\t\t\tarchivePending.Done()\n   142→\t\t\t\tcontinue\n   143→\t\t\t}\n   144→\n   145→\t\t\tstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\n   146→\n   147→\t\t\tif stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {\n   148→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Footprint step: %s\", *job.ID, err.Error())\n   149→\t\t\t\tarchivePending.Done()\n   150→\t\t\t\tcontinue\n   151→\t\t\t}\n   152→\t\t\tif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta); err != nil {\n   153→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Energy step: %s\", *job.ID, err.Error())\n   154→\t\t\t\tarchivePending.Done()\n   155→\t\t\t\tcontinue\n   156→\t\t\t}\n   157→\t\t\t// Update the jobs database entry one last time:\n   158→\t\t\tstmt = jobRepo.MarkArchived(stmt, schema.MonitoringStatusArchivingSuccessful)\n   159→\t\t\tif err := jobRepo.Execute(stmt); err != nil {\n   160→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at db execute: %s\", *job.ID, err.Error())\n   161→\t\t\t\tarchivePending.Done()\n   162→\t\t\t\tcontinue\n   163→\t\t\t}\n   164→\t\t\tcclog.Debugf(\"archiving job %d took %s\", job.JobID, time.Since(start))\n   165→\t\t\tcclog.Infof(\"archiving job (dbid: %d) successful\", *job.ID)\n   166→\n   167→\t\t\trepository.CallJobStopHooks(job)\n   168→\t\t\tarchivePending.Done()\n   169→\t\t}\n   170→\t}\n   171→}\n   172→\n   173→// TriggerArchiving queues a job for asynchronous archiving.\n   174→//\n   175→// This function should be called when a job completes (stops) to archive its\n   176→// metric data from the metric store to the configured archive backend.\n   177→//\n   178→// The function:\n   179→//  1. Increments the pending job counter (WaitGroup)\n   180→//  2. Sends the job to the archiving channel (buffered, capacity 128)\n   181→//  3. Returns immediately (non-blocking unless channel is full)\n   182→//\n   183→// The actual archiving is performed asynchronously by the worker goroutine.\n   184→// Upon completion, the worker will decrement the pending counter.\n   185→//\n   186→// Panics if Start() has not been called first.\n   187→func TriggerArchiving(job *schema.Job) {\n   188→\tif archiveChannel == nil {\n   189→\t\tcclog.Fatal(\"Cannot archive without archiving channel. Did you Start the archiver?\")\n   190→\t}\n   191→\n   192→\tarchivePending.Add(1)\n   193→\tarchiveChannel <- job\n   194→}\n   195→\n   196→// Shutdown performs a graceful shutdown of the archiver with a configurable timeout.\n   197→//\n   198→// The shutdown process:\n   199→//  1. Closes archiveChannel - no new jobs will be accepted\n   200→//  2. Waits for pending jobs to complete (up to timeout duration)\n   201→//  3. If timeout is exceeded:\n   202→//     - Cancels shutdownCtx to interrupt ongoing ArchiveJob operations\n   203→//     - Returns error indicating timeout\n   204→//  4. Waits for worker goroutine to exit cleanly\n   205→//\n   206→// Parameters:\n   207→//   - timeout: Maximum duration to wait for pending jobs to complete\n   208→//     (recommended: 10-30 seconds for production)\n   209→//\n   210→// Returns:\n   211→//   - nil if all jobs completed within timeout\n   212→//   - error if timeout was exceeded (some jobs may not have been archived)\n   213→//\n   214→// Jobs that don't complete within the timeout will be marked as failed.\n   215→// The function always ensures the worker goroutine exits before returning.\n   216→//\n   217→// Example:\n   218→//\n   219→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n   220→//\t    log.Printf(\"Some jobs did not complete: %v\", err)\n   221→//\t}\n   222→func Shutdown(timeout time.Duration) error {\n   223→\tcclog.Info(\"Initiating archiver shutdown...\")\n   224→\n   225→\t// Close channel to signal no more jobs will be accepted\n   226→\tclose(archiveChannel)\n   227→\n   228→\t// Create a channel to signal when all jobs are done\n   229→\tdone := make(chan struct{})\n   230→\tgo func() {\n   231→\t\tarchivePending.Wait()\n   232→\t\tclose(done)\n   233→\t}()\n   234→\n   235→\t// Wait for jobs to complete or timeout\n   236→\tselect {\n   237→\tcase <-done:\n   238→\t\tcclog.Info(\"All archive jobs completed successfully\")\n   239→\t\t// Wait for worker to exit\n   240→\t\t<-workerDone\n   241→\t\treturn nil\n   242→\tcase <-time.After(timeout):\n   243→\t\tcclog.Warn(\"Archiver shutdown timeout exceeded, cancelling remaining operations\")\n   244→\t\t// Cancel any ongoing operations\n   245→\t\tshutdownCancel()\n   246→\t\t// Wait for worker to exit\n   247→\t\t<-workerDone\n   248→\t\treturn fmt.Errorf(\"archiver shutdown timeout after %v\", timeout)\n   249→\t}\n   250→}\n   251→"}]},"uuid":"8c03a830-9782-477c-ac56-dda860e00768","timestamp":"2026-03-16T10:18:58.827Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"570e734f-a5ca-413e-af11-088950cbbb65","timestamp":"2026-03-16T10:18:58.838Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"fe4f26ca-73ba-4d02-af6c-c25c65a02064","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TvXDoyQpRVirrkiiNAU6vk","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package metricstore provides an efficient in-memory time-series metric storage system\n     7→// with support for hierarchical data organization, checkpointing, and archiving.\n     8→//\n     9→// The package organizes metrics in a tree structure (cluster → host → component) and\n    10→// provides concurrent read/write access to metric data with configurable aggregation strategies.\n    11→// Background goroutines handle periodic checkpointing (JSON or Avro format), archiving old data,\n    12→// and enforcing retention policies.\n    13→//\n    14→// Key features:\n    15→//   - In-memory metric storage with configurable retention\n    16→//   - Hierarchical data organization (selectors)\n    17→//   - Concurrent checkpoint/archive workers\n    18→//   - Support for sum and average aggregation\n    19→//   - NATS integration for metric ingestion\n    20→package metricstore\n    21→\n    22→import (\n    23→\t\"bytes\"\n    24→\t\"context\"\n    25→\t\"encoding/json\"\n    26→\t\"errors\"\n    27→\t\"fmt\"\n    28→\t\"runtime\"\n    29→\t\"runtime/debug\"\n    30→\t\"slices\"\n    31→\t\"sync\"\n    32→\t\"time\"\n    33→\n    34→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    35→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    36→\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n    37→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    38→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n    39→)\n    40→\n    41→// GlobalState holds the global state for the metric store with thread-safe access.\n    42→type GlobalState struct {\n    43→\tmu                sync.RWMutex\n    44→\tlastRetentionTime int64\n    45→\tselectorsExcluded bool\n    46→}\n    47→\n    48→var (\n    49→\tsingleton  sync.Once\n    50→\tmsInstance *MemoryStore\n    51→\t// shutdownFunc stores the context cancellation function created in Init\n    52→\t// and is called during Shutdown to cancel all background goroutines\n    53→\tshutdownFunc   context.CancelFunc\n    54→\tshutdownFuncMu sync.Mutex // Protects shutdownFunc from concurrent access\n    55→\t// Create a global instance\n    56→\tstate = &GlobalState{}\n    57→)\n    58→\n    59→// NodeProvider provides information about nodes currently in use by running jobs.\n    60→//\n    61→// This interface allows metricstore to query job information without directly\n    62→// depending on the repository package, breaking the import cycle.\n    63→//\n    64→// Implementations should return nodes that are actively processing jobs started\n    65→// before the given timestamp. These nodes will be excluded from retention-based\n    66→// garbage collection to prevent data loss for jobs that are still running or\n    67→// recently completed.\n    68→type NodeProvider interface {\n    69→\t// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n    70→\t// that are currently in use by jobs that started before the given timestamp.\n    71→\t//\n    72→\t// Parameters:\n    73→\t//   - ts: Unix timestamp threshold - returns nodes with jobs started before this time\n    74→\t//\n    75→\t// Returns:\n    76→\t//   - Map of cluster names to lists of node hostnames that should be excluded from garbage collection\n    77→\t//   - Error if the query fails\n    78→\tGetUsedNodes(ts int64) (map[string][]string, error)\n    79→}\n    80→\n    81→// Metric represents a single metric data point to be written to the store.\n    82→type Metric struct {\n    83→\tName  string\n    84→\tValue schema.Float\n    85→\t// MetricConfig contains frequency and aggregation settings for this metric.\n    86→\t// If Frequency is 0, configuration will be looked up from MemoryStore.Metrics during Write().\n    87→\tMetricConfig MetricConfig\n    88→}\n    89→\n    90→// MemoryStore is the main in-memory time-series metric storage implementation.\n    91→//\n    92→// It organizes metrics in a hierarchical tree structure where each level represents\n    93→// a component of the system hierarchy (e.g., cluster → host → CPU). Each level can\n    94→// store multiple metrics as time-series buffers.\n    95→//\n    96→// The store is initialized as a singleton via InitMetrics() and accessed via GetMemoryStore().\n    97→// All public methods are safe for concurrent use.\n    98→type MemoryStore struct {\n    99→\tMetrics      map[string]MetricConfig\n   100→\troot         Level\n   101→\tnodeProvider NodeProvider\n   102→}\n   103→\n   104→// Init initializes the metric store from configuration and starts background workers.\n   105→//\n   106→// This function must be called exactly once before any other metricstore operations.\n   107→// It performs the following initialization steps:\n   108→//  1. Validates and decodes the metric store configuration\n   109→//  2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n   110→//  3. Loads metric configurations from all registered clusters\n   111→//  4. Restores checkpoints within the retention window\n   112→//  5. Starts background workers for retention, checkpointing, archiving, and monitoring\n   113→//  6. Optionally subscribes to NATS for real-time metric ingestion\n   114→//\n   115→// Parameters:\n   116→//   - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n   117→//   - wg: WaitGroup that will be incremented for each background goroutine started\n   118→//\n   119→// The function will call cclog.Fatal on critical errors during initialization.\n   120→// Use Shutdown() to cleanly stop all background workers started by Init().\n   121→//\n   122→// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n   123→// receiving termination signals to ensure checkpoint data is persisted.\n   124→func Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n   125→\tstartupTime := time.Now()\n   126→\n   127→\tif rawConfig != nil {\n   128→\t\tconfig.Validate(configSchema, rawConfig)\n   129→\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n   130→\t\tdec.DisallowUnknownFields()\n   131→\t\tif err := dec.Decode(&Keys); err != nil {\n   132→\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n   133→\t\t}\n   134→\t}\n   135→\n   136→\t// Set NumWorkers from config or use default\n   137→\tif Keys.NumWorkers <= 0 {\n   138→\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n   139→\t}\n   140→\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n   141→\n   142→\t// Pass the config.MetricStoreKeys\n   143→\tInitMetrics(metrics)\n   144→\n   145→\tms := GetMemoryStore()\n   146→\n   147→\td, err := time.ParseDuration(Keys.RetentionInMemory)\n   148→\tif err != nil {\n   149→\t\tcclog.Fatal(err)\n   150→\t}\n   151→\n   152→\trestoreFrom := startupTime.Add(-d)\n   153→\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n   154→\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n   155→\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n   156→\tif err != nil {\n   157→\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n   158→\t} else {\n   159→\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n   160→\t}\n   161→\n   162→\t// Try to use less memory by forcing a GC run here and then\n   163→\t// lowering the target percentage. The default of 100 means\n   164→\t// that only once the ratio of new allocations execeds the\n   165→\t// previously active heap, a GC is triggered.\n   166→\t// Forcing a GC here will set the \"previously active heap\"\n   167→\t// to a minumum.\n   168→\t// runtime.GC()\n   169→\n   170→\tctx, shutdown := context.WithCancel(context.Background())\n   171→\n   172→\tRetention(wg, ctx)\n   173→\tCheckpointing(wg, ctx)\n   174→\tCleanUp(wg, ctx)\n   175→\tWALStaging(wg, ctx)\n   176→\tMemoryUsageTracker(wg, ctx)\n   177→\n   178→\t// Note: Signal handling has been removed from this function.\n   179→\t// The caller is responsible for handling shutdown signals and calling\n   180→\t// the shutdown() function when appropriate.\n   181→\t// Store the shutdown function for later use by Shutdown()\n   182→\tshutdownFuncMu.Lock()\n   183→\tshutdownFunc = shutdown\n   184→\tshutdownFuncMu.Unlock()\n   185→\n   186→\tif Keys.Subscriptions != nil {\n   187→\t\terr = ReceiveNats(ms, 1, ctx)\n   188→\t\tif err != nil {\n   189→\t\t\tcclog.Fatal(err)\n   190→\t\t}\n   191→\t}\n   192→}\n   193→\n   194→// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n   195→//\n   196→// This function must be called before GetMemoryStore() and can only be called once due to\n   197→// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n   198→//\n   199→// Parameters:\n   200→//   - metrics: Map of metric names to their configurations (frequency and aggregation strategy)"}]},"uuid":"2950fd72-b369-478b-b67b-b5ac1cb2162f","timestamp":"2026-03-16T10:19:00.704Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"f2783f6a-6486-4b5f-9e19-a1986834a2cd","timestamp":"2026-03-16T10:19:01.368Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"7f802976-61d9-4ba6-9843-51f90faf2ec0","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LNZxs59YvZtpxmBzuRJnut","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package api provides the REST API layer for ClusterCockpit.\n     7→// It handles HTTP requests for job management, user administration,\n     8→// cluster queries, node state updates, and metrics storage operations.\n     9→// The API supports both JWT token authentication and session-based authentication.\n    10→package api\n    11→\n    12→import (\n    13→\t\"encoding/json\"\n    14→\t\"fmt\"\n    15→\t\"io\"\n    16→\t\"net/http\"\n    17→\t\"os\"\n    18→\t\"path/filepath\"\n    19→\t\"strings\"\n    20→\t\"sync\"\n    21→\n    22→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n    23→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    24→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    25→\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n    26→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    27→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    28→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n    29→\t\"github.com/go-chi/chi/v5\"\n    30→)\n    31→\n    32→// @title                      ClusterCockpit REST API\n    33→// @version                    1.0.0\n    34→// @description                API for batch job control.\n    35→\n    36→// @contact.name               ClusterCockpit Project\n    37→// @contact.url                https://github.com/ClusterCockpit\n    38→// @contact.email              support@clustercockpit.org\n    39→\n    40→// @license.name               MIT License\n    41→// @license.url                https://opensource.org/licenses/MIT\n    42→\n    43→// @host                       localhost:8080\n    44→\n    45→// @securityDefinitions.apikey ApiKeyAuth\n    46→// @in                         header\n    47→// @name                       X-Auth-Token\n    48→\n    49→const (\n    50→\tnoticeFilePath  = \"./var/notice.txt\"\n    51→\tnoticeFilePerms = 0o644\n    52→\tmaxNoticeLength = 10000 // Maximum allowed notice content length in characters\n    53→)\n    54→\n    55→type RestAPI struct {\n    56→\tJobRepository   *repository.JobRepository\n    57→\tAuthentication  *auth.Authentication\n    58→\tMachineStateDir string\n    59→\t// RepositoryMutex protects job creation operations from race conditions\n    60→\t// when checking for duplicate jobs during startJob API calls.\n    61→\t// It prevents concurrent job starts with the same jobId/cluster/startTime\n    62→\t// from creating duplicate entries in the database.\n    63→\tRepositoryMutex sync.Mutex\n    64→}\n    65→\n    66→// New creates and initializes a new RestAPI instance with configured dependencies.\n    67→func New() *RestAPI {\n    68→\treturn &RestAPI{\n    69→\t\tJobRepository:   repository.GetJobRepository(),\n    70→\t\tMachineStateDir: config.Keys.MachineStateDir,\n    71→\t\tAuthentication:  auth.GetAuthInstance(),\n    72→\t}\n    73→}\n    74→\n    75→// MountAPIRoutes registers REST API endpoints for job and cluster management.\n    76→// These routes use JWT token authentication via the X-Auth-Token header.\n    77→func (api *RestAPI) MountAPIRoutes(r chi.Router) {\n    78→\t// REST API Uses TokenAuth\n    79→\t// User List\n    80→\tr.Get(\"/users/\", api.getUsers)\n    81→\t// Cluster List\n    82→\tr.Get(\"/clusters/\", api.getClusters)\n    83→\t// Slurm node state\n    84→\tr.Post(\"/nodestate/\", api.updateNodeStates)\n    85→\tr.Put(\"/nodestate/\", api.updateNodeStates)\n    86→\t// Job Handler\n    87→\tif config.Keys.APISubjects == nil {\n    88→\t\tcclog.Info(\"Enabling REST start/stop job API\")\n    89→\t\tr.Post(\"/jobs/start_job/\", api.startJob)\n    90→\t\tr.Put(\"/jobs/start_job/\", api.startJob)\n    91→\t\tr.Post(\"/jobs/stop_job/\", api.stopJobByRequest)\n    92→\t\tr.Put(\"/jobs/stop_job/\", api.stopJobByRequest)\n    93→\t}\n    94→\tr.Get(\"/jobs/\", api.getJobs)\n    95→\tr.Get(\"/jobs/used_nodes\", api.getUsedNodes)\n    96→\tr.Post(\"/jobs/tag_job/{id}\", api.tagJob)\n    97→\tr.Patch(\"/jobs/tag_job/{id}\", api.tagJob)\n    98→\tr.Delete(\"/jobs/tag_job/{id}\", api.removeTagJob)\n    99→\tr.Patch(\"/jobs/edit_meta/{id}\", api.editMeta)\n   100→\tr.Patch(\"/jobs/edit_meta/\", api.editMetaByRequest)\n   101→\tr.Get(\"/jobs/metrics/{id}\", api.getJobMetrics)\n   102→\tr.Delete(\"/jobs/delete_job/\", api.deleteJobByRequest)\n   103→\tr.Delete(\"/jobs/delete_job/{id}\", api.deleteJobByID)\n   104→\tr.Delete(\"/jobs/delete_job_before/{ts}\", api.deleteJobBefore)\n   105→\tr.Post(\"/jobs/{id}\", api.getJobByID)\n   106→\tr.Get(\"/jobs/{id}\", api.getCompleteJobByID)\n   107→\n   108→\tr.Delete(\"/tags/\", api.removeTags)\n   109→\n   110→\tif api.MachineStateDir != \"\" {\n   111→\t\tr.Get(\"/machine_state/{cluster}/{host}\", api.getMachineState)\n   112→\t\tr.Put(\"/machine_state/{cluster}/{host}\", api.putMachineState)\n   113→\t\tr.Post(\"/machine_state/{cluster}/{host}\", api.putMachineState)\n   114→\t}\n   115→}\n   116→\n   117→// MountUserAPIRoutes registers user-accessible REST API endpoints.\n   118→// These are limited endpoints for regular users with JWT token authentication.\n   119→func (api *RestAPI) MountUserAPIRoutes(r chi.Router) {\n   120→\t// REST API Uses TokenAuth\n   121→\tr.Get(\"/jobs/\", api.getJobs)\n   122→\tr.Post(\"/jobs/{id}\", api.getJobByID)\n   123→\tr.Get(\"/jobs/{id}\", api.getCompleteJobByID)\n   124→\tr.Get(\"/jobs/metrics/{id}\", api.getJobMetrics)\n   125→}\n   126→\n   127→// MountMetricStoreAPIRoutes registers metric storage API endpoints.\n   128→// These endpoints handle metric data ingestion and health checks with JWT token authentication.\n   129→func (api *RestAPI) MountMetricStoreAPIRoutes(r chi.Router) {\n   130→\t// REST API Uses TokenAuth\n   131→\tr.Post(\"/free\", freeMetrics)\n   132→\tr.Post(\"/write\", writeMetrics)\n   133→\tr.Get(\"/debug\", debugMetrics)\n   134→\tr.Post(\"/healthcheck\", api.updateNodeStates)\n   135→\t// Same endpoints but with trailing slash\n   136→\tr.Post(\"/free/\", freeMetrics)\n   137→\tr.Post(\"/write/\", writeMetrics)\n   138→\tr.Get(\"/debug/\", debugMetrics)\n   139→\tr.Post(\"/healthcheck/\", api.updateNodeStates)\n   140→}\n   141→\n   142→// MountConfigAPIRoutes registers configuration and user management endpoints.\n   143→// These routes use session-based authentication and require admin privileges.\n   144→// Routes use full paths (including /config prefix) to avoid conflicting with\n   145→// the /config page route when registered via Group instead of Route.\n   146→func (api *RestAPI) MountConfigAPIRoutes(r chi.Router) {\n   147→\t// Settings Frontend Uses SessionAuth\n   148→\tif api.Authentication != nil {\n   149→\t\tr.Get(\"/config/roles/\", api.getRoles)\n   150→\t\tr.Post(\"/config/users/\", 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+{"parentUuid":"0ac4840d-8ce1-4864-ba76-57f99504b7ef","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LsPHTrPSnt2Estx2sBx8ai","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"encoding/json\"\n    10→\t\"fmt\"\n    11→\n    12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    14→\tsq \"github.com/Masterminds/squirrel\"\n    15→)\n    16→\n    17→const NamedJobCacheInsert string = `INSERT INTO job_cache (\n    18→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n    19→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n    20→) VALUES (\n    21→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n    22→  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n    23→);`\n    24→\n    25→const NamedJobInsert string = `INSERT INTO job (\n    26→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n    27→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n    28→) VALUES (\n    29→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n    30→  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n    31→);`\n    32→\n    33→// InsertJobDirect inserts a job directly into the job table (not job_cache).\n    34→// Use this when the returned ID will be used for operations on the job table\n    35→// (e.g., adding tags), or for imported jobs that are already completed.\n    36→func (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n    37→\tr.Mutex.Lock()\n    38→\tdefer r.Mutex.Unlock()\n    39→\n    40→\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n    41→\tif err != nil {\n    42→\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n    43→\t\treturn 0, err\n    44→\t}\n    45→\tid, err := res.LastInsertId()\n    46→\tif err != nil {\n    47→\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n    48→\t\treturn 0, err\n    49→\t}\n    50→\n    51→\treturn id, nil\n    52→}\n    53→\n    54→func (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n    55→\tr.Mutex.Lock()\n    56→\tdefer r.Mutex.Unlock()\n    57→\n    58→\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n    59→\tif err != nil {\n    60→\t\tcclog.Warn(\"Error while NamedJobInsert\")\n    61→\t\treturn 0, err\n    62→\t}\n    63→\tid, err := res.LastInsertId()\n    64→\tif err != nil {\n    65→\t\tcclog.Warn(\"Error while getting last insert ID\")\n    66→\t\treturn 0, err\n    67→\t}\n    68→\n    69→\treturn id, nil\n    70→}\n    71→\n    72→func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n    73→\tr.Mutex.Lock()\n    74→\tdefer r.Mutex.Unlock()\n    75→\n    76→\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n    77→\n    78→\trows, err := query.RunWith(r.stmtCache).Query()\n    79→\tif err != nil {\n    80→\t\tcclog.Errorf(\"Error while running query %v\", err)\n    81→\t\treturn nil, err\n    82→\t}\n    83→\tdefer rows.Close()\n    84→\n    85→\tjobs := make([]*schema.Job, 0, 50)\n    86→\tfor rows.Next() {\n    87→\t\tjob, err := scanJob(rows)\n    88→\t\tif err != nil {\n    89→\t\t\tcclog.Warn(\"Error while scanning rows\")\n    90→\t\t\treturn nil, err\n    91→\t\t}\n    92→\t\tjobs = append(jobs, job)\n    93→\t}\n    94→\n    95→\t// Transfer cached jobs to main table and clear cache in a single transaction.\n    96→\ttx, err := r.DB.Beginx()\n    97→\tif err != nil {\n    98→\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n    99→\t\treturn nil, err\n   100→\t}\n   101→\tdefer tx.Rollback()\n   102→\n   103→\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n   104→\t_, err = tx.Exec(\n   105→\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n   106→\tif err != nil {\n   107→\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n   108→\t\treturn nil, err\n   109→\t}\n   110→\n   111→\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n   112→\tif err != nil {\n   113→\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n   114→\t\treturn nil, err\n   115→\t}\n   116→\n   117→\tif err := tx.Commit(); err != nil {\n   118→\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n   119→\t\treturn nil, err\n   120→\t}\n   121→\n   122→\t// Resolve correct job.id from the job table. The IDs read from job_cache\n   123→\t// are from a different auto-increment sequence and must not be used to\n   124→\t// query the job table.\n   125→\tfor _, job := range jobs {\n   126→\t\tvar newID int64\n   127→\t\tif err := sq.Select(\"job.id\").From(\"job\").\n   128→\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n   129→\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n   130→\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n   131→\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n   132→\t\t\t\tjob.JobID, job.Cluster, err)\n   133→\t\t\tcontinue\n   134→\t\t}\n   135→\t\tjob.ID = &newID\n   136→\t}\n   137→\n   138→\treturn jobs, nil\n   139→}\n   140→\n   141→// TransferCachedJobToMain moves a job from job_cache to the job table.\n   142→// Caller must hold r.Mutex. Returns the new job table ID.\n   143→func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n   144→\tres, err := r.DB.Exec(\n   145→\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n   146→\t\tcacheID)\n   147→\tif err != nil {\n   148→\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n   149→\t}\n   150→\n   151→\tnewID, err := res.LastInsertId()\n   152→\tif err != nil {\n   153→\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n   154→\t}\n   155→\n   156→\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n   157→\tif err != nil {\n   158→\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n   159→\t}\n   160→\n   161→\treturn newID, nil\n   162→}\n   163→\n   164→// Start inserts a new job in the table, returning the unique job ID.\n   165→// Statistics are not transfered!\n   166→func (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n   167→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   168→\tif err != nil {\n   169→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n   170→\t}\n   171→\n   172→\tjob.RawResources, err = json.Marshal(job.Resources)\n   173→\tif err != nil {\n   174→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n   175→\t}\n   176→\n   177→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n   178→\tif err != nil {\n   179→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n   180→\t}\n   181→\n   182→\treturn r.InsertJob(job)\n   183→}\n   184→\n   185→// StartDirect inserts a new job directly into the job table (not job_cache).\n   186→// Use this when the returned ID will immediately be used for job table\n   187→// operations such as adding tags.\n   188→func (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n   189→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   190→\tif err != nil {\n   191→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n   192→\t}\n   193→\n   194→\tjob.RawResources, err = json.Marshal(job.Resources)\n   195→\tif err != nil {\n   196→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n   197→\t}\n   198→\n   199→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n   200→\tif err != nil {\n   201→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n   202→\t}\n   203→\n   204→\treturn r.InsertJobDirect(job)\n   205→}\n   206→\n   207→// Stop updates the job with the database id jobId using the provided arguments.\n   208→func (r *JobRepository) Stop(\n   209→\tjobID int64,\n   210→\tduration int32,\n   211→\tstate schema.JobState,\n   212→\tmonitoringStatus int32,\n   213→) (err error) {\n   214→\t// Invalidate cache entries as job state is changing\n   215→\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n   216→\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n   217→\n   218→\tstmt := sq.Update(\"job\").\n   219→\t\tSet(\"job_state\", state).\n   220→\t\tSet(\"duration\", duration).\n   221→\t\tSet(\"monitoring_status\", monitoringStatus).\n   222→\t\tWhere(\"job.id = ?\", jobID)\n   223→\n   224→\t_, err = stmt.RunWith(r.stmtCache).Exec()\n   225→\treturn err\n   226→}\n   227→"}]},"uuid":"68d5eef7-19ca-4774-957f-4b6683917bf2","timestamp":"2026-03-16T10:19:02.479Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"1aab2bb2-b3e6-429f-99e9-6dc7e02162dc","timestamp":"2026-03-16T10:19:02.733Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"096be93c-f01e-4116-85f9-ba78b99ab30f","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Q56Kd1KsrdTWnGABXTQUbm","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"sync\"\n    10→\n    11→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    12→)\n    13→\n    14→// JobHook interface allows external components to hook into job lifecycle events.\n    15→// Implementations can perform actions when jobs start or stop, such as tagging,\n    16→// logging, notifications, or triggering external workflows.\n    17→//\n    18→// Example implementation:\n    19→//\n    20→//\ttype MyJobTagger struct{}\n    21→//\n    22→//\tfunc (t *MyJobTagger) JobStartCallback(job *schema.Job) {\n    23→//\t    if job.NumNodes > 100 {\n    24→//\t        // Tag large jobs automatically\n    25→//\t    }\n    26→//\t}\n    27→//\n    28→//\tfunc (t *MyJobTagger) JobStopCallback(job *schema.Job) {\n    29→//\t    if job.State == schema.JobStateFailed {\n    30→//\t        // Log or alert on failed jobs\n    31→//\t    }\n    32→//\t}\n    33→//\n    34→// Register hooks during application initialization:\n    35→//\n    36→//\trepository.RegisterJobHook(&MyJobTagger{})\n    37→type JobHook interface {\n    38→\t// JobStartCallback is invoked when one or more jobs start.\n    39→\t// This is called synchronously, so implementations should be fast.\n    40→\tJobStartCallback(job *schema.Job)\n    41→\n    42→\t// JobStopCallback is invoked when a job completes.\n    43→\t// This is called synchronously, so implementations should be fast.\n    44→\tJobStopCallback(job *schema.Job)\n    45→}\n    46→\n    47→var (\n    48→\tinitOnce sync.Once\n    49→\thooks    []JobHook\n    50→)\n    51→\n    52→// RegisterJobHook registers a JobHook to receive job lifecycle callbacks.\n    53→// Multiple hooks can be registered and will be called in registration order.\n    54→// This function is safe to call multiple times and is typically called during\n    55→// application initialization.\n    56→//\n    57→// Nil hooks are silently ignored to simplify conditional registration.\n    58→func RegisterJobHook(hook JobHook) {\n    59→\tinitOnce.Do(func() {\n    60→\t\thooks = make([]JobHook, 0)\n    61→\t})\n    62→\n    63→\tif hook != nil {\n    64→\t\thooks = append(hooks, hook)\n    65→\t}\n    66→}\n    67→\n    68→// CallJobStartHooks invokes all registered JobHook.JobStartCallback methods\n    69→// for each job in the provided slice. This is called internally by the repository\n    70→// when jobs are started (e.g., via StartJob or batch job imports).\n    71→//\n    72→// Hooks are called synchronously in registration order. If a hook panics,\n    73→// the panic will propagate to the caller.\n    74→func CallJobStartHooks(jobs []*schema.Job) {\n    75→\tif hooks == nil {\n    76→\t\treturn\n    77→\t}\n    78→\n    79→\tfor _, hook := range hooks {\n    80→\t\tif hook != nil {\n    81→\t\t\tfor _, job := range jobs {\n    82→\t\t\t\thook.JobStartCallback(job)\n    83→\t\t\t}\n    84→\t\t}\n    85→\t}\n    86→}\n    87→\n    88→// CallJobStopHooks invokes all registered JobHook.JobStopCallback methods\n    89→// for the provided job. This is called internally by the repository when a\n    90→// job completes (e.g., via StopJob or job state updates).\n    91→//\n    92→// Hooks are called synchronously in registration order. If a hook panics,\n    93→// the panic will propagate to the caller.\n    94→func CallJobStopHooks(job *schema.Job) {\n    95→\tif hooks == nil {\n    96→\t\treturn\n    97→\t}\n    98→\n    99→\tfor _, hook := range hooks {\n   100→\t\tif hook != nil {\n   101→\t\t\thook.JobStopCallback(job)\n   102→\t\t}\n   103→\t}\n   104→}\n   105→"}]},"uuid":"05632aaf-09b7-49dc-9f0d-bef792d1b4ab","timestamp":"2026-03-16T10:19:02.791Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"a36d5096-d21b-47f0-8b87-06c60ecd5fdd","timestamp":"2026-03-16T10:19:02.805Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"a36d5096-d21b-47f0-8b87-06c60ecd5fdd","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:02.942Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01A5fp48JLodDTqUvyZLsqG1","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Bi1LCZzLc9aRRiSvZTFx19","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/config.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":887,"cache_read_input_tokens":94870,"cache_creation":{"ephemeral_5m_input_tokens":887,"ephemeral_1h_input_tokens":0},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7iqdEG6srZ9LfpkQV","uuid":"10ace628-ff89-413e-9f33-5f307676cb9d"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"06874574-1671-41e1-b217-b43ab9f97416","timestamp":"2026-03-16T10:19:02.943Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"06874574-1671-41e1-b217-b43ab9f97416","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Bi1LCZzLc9aRRiSvZTFx19","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import \"time\"\n     9→\n    10→// RepositoryConfig holds configuration for repository operations.\n    11→// All fields have sensible defaults, so this configuration is optional.\n    12→type RepositoryConfig struct {\n    13→\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n    14→\t// Default: 1MB (1024 * 1024 bytes)\n    15→\tCacheSize int\n    16→\n    17→\t// MaxOpenConnections is the maximum number of open database connections.\n    18→\t// Default: 4\n    19→\tMaxOpenConnections int\n    20→\n    21→\t// MaxIdleConnections is the maximum number of idle database connections.\n    22→\t// Default: 4\n    23→\tMaxIdleConnections int\n    24→\n    25→\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n    26→\t// Default: 1 hour\n    27→\tConnectionMaxLifetime time.Duration\n    28→\n    29→\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n    30→\t// Default: 10 minutes\n    31→\tConnectionMaxIdleTime time.Duration\n    32→\n    33→\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n    34→\t// considered in \"running jobs\" queries. This filters out very short jobs.\n    35→\t// Default: 600 seconds (10 minutes)\n    36→\tMinRunningJobDuration int\n    37→\n    38→\t// DbCacheSizeMB is the SQLite page cache size per connection in MB.\n    39→\t// Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n    40→\t// and DbCacheSizeMB=2048, total page cache is up to 8GB.\n    41→\t// Default: 2048 (2GB)\n    42→\tDbCacheSizeMB int\n    43→\n    44→\t// DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n    45→\t// SQLite will try to release cache pages to stay under this limit.\n    46→\t// It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n    47→\t// Default: 16384 (16GB)\n    48→\tDbSoftHeapLimitMB int\n    49→\n    50→\t// BusyTimeoutMs is the SQLite busy_timeout in milliseconds.\n    51→\t// When a write is blocked by another writer, SQLite retries internally\n    52→\t// using a backoff mechanism for up to this duration before returning SQLITE_BUSY.\n    53→\t// Default: 60000 (60 seconds)\n    54→\tBusyTimeoutMs int\n    55→}\n    56→\n    57→// DefaultConfig returns the default repository configuration.\n    58→// These values are optimized for typical deployments.\n    59→func DefaultConfig() *RepositoryConfig {\n    60→\treturn &RepositoryConfig{\n    61→\t\tCacheSize:             1 * 1024 * 1024, // 1MB\n    62→\t\tMaxOpenConnections:    4,\n    63→\t\tMaxIdleConnections:    4,\n    64→\t\tConnectionMaxLifetime: time.Hour,\n    65→\t\tConnectionMaxIdleTime: 10 * time.Minute,\n    66→\t\tMinRunningJobDuration: 600, // 10 minutes\n    67→\t\tDbCacheSizeMB:        2048,  // 2GB per connection\n    68→\t\tDbSoftHeapLimitMB:    16384, // 16GB process-wide\n    69→\t\tBusyTimeoutMs:        60000, // 60 seconds\n    70→\t}\n    71→}\n    72→\n    73→// repoConfig is the package-level configuration instance.\n    74→// It is initialized with defaults and can be overridden via SetConfig.\n    75→var repoConfig *RepositoryConfig = DefaultConfig()\n    76→\n    77→// SetConfig sets the repository configuration.\n    78→// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n    79→// If not called, default values from DefaultConfig() are used.\n    80→func SetConfig(cfg *RepositoryConfig) {\n    81→\tif cfg != nil {\n    82→\t\trepoConfig = cfg\n    83→\t}\n    84→}\n    85→\n    86→// GetConfig returns the current repository configuration.\n    87→func GetConfig() *RepositoryConfig {\n    88→\treturn repoConfig\n    89→}\n    90→"}]},"uuid":"b52aab3d-70ab-4612-ab88-21bf16ecfd5f","timestamp":"2026-03-16T10:19:02.952Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"13ac3caa-bfc8-42de-8a2e-6d97a9a25fee","timestamp":"2026-03-16T10:19:02.963Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"13ac3caa-bfc8-42de-8a2e-6d97a9a25fee","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:03.249Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01GyWTgPCodqRdXWs2Xtqnf9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KyfFdLVrZr5BhrZzGeEYuR","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go","limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":3652,"cache_read_input_tokens":47867,"cache_creation":{"ephemeral_5m_input_tokens":3652,"ephemeral_1h_input_tokens":0},"output_tokens":18,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7nWPY1M4kbgthYUgQ","uuid":"5a0fc9cf-8ece-4061-ad34-30078c5300bc"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"9b943414-b0f7-4dde-8d10-192d4b43b05b","timestamp":"2026-03-16T10:19:03.250Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"9b943414-b0f7-4dde-8d10-192d4b43b05b","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KyfFdLVrZr5BhrZzGeEYuR","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// This file implements checkpoint persistence for the in-memory metric store.\n     7→//\n     8→// Checkpoints enable graceful restarts by periodically saving in-memory metric\n     9→// data to disk in JSON or binary format. The checkpoint system:\n    10→//\n    11→// Key Features:\n    12→//   - Periodic background checkpointing via the Checkpointing() worker\n    13→//   - Two format families: JSON (human-readable) and WAL+binary (compact, crash-safe)\n    14→//   - Parallel checkpoint creation and loading using worker pools\n    15→//   - Hierarchical file organization: checkpoint_dir/cluster/host/timestamp.{json|bin}\n    16→//   - WAL file: checkpoint_dir/cluster/host/current.wal (append-only, per-entry)\n    17→//   - Only saves unarchived data (archived data is already persisted elsewhere)\n    18→//   - GC optimization during loading to prevent excessive heap growth\n    19→//\n    20→// Checkpoint Workflow:\n    21→//  1. Init() loads checkpoints within retention window at startup\n    22→//  2. Checkpointing() worker periodically saves new data\n    23→//  3. Shutdown() writes final checkpoint before exit\n    24→//\n    25→// File Organization:\n    26→//\n    27→//\tcheckpoints/\n    28→//\t  cluster1/\n    29→//\t    host001/\n    30→//\t      1234567890.json  (JSON format: full subtree snapshot)\n    31→//\t      1234567890.bin   (binary format: full subtree snapshot)\n    32→//\t      current.wal      (WAL format: append-only per-entry log)\n    33→//\t    host002/\n    34→//\t      ...\n    35→package metricstore\n    36→\n    37→import (\n    38→\t\"bufio\"\n    39→\t\"context\"\n    40→\t\"encoding/json\"\n    41→\t\"errors\"\n    42→\t\"fmt\"\n    43→\t\"io/fs\"\n    44→\t\"os\"\n    45→\t\"path\"\n    46→\t\"path/filepath\"\n    47→\t\"sort\"\n    48→\t\"strconv\"\n    49→\t\"strings\"\n    50→\t\"sync\"\n    51→\t\"sync/atomic\"\n    52→\t\"time\"\n    53→\n    54→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    55→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    56→)\n    57→\n    58→const (\n    59→\tCheckpointFilePerms = 0o644                    // File permissions for checkpoint files\n    60→\tCheckpointDirPerms  = 0o755                    // Directory permissions for checkpoint directories\n    61→\tGCTriggerInterval   = DefaultGCTriggerInterval // Interval for triggering GC during checkpoint loading\n    62→)\n    63→\n    64→// CheckpointMetrics represents metric data in a checkpoint file.\n    65→// Whenever the structure changes, update MarshalJSON as well!\n    66→type CheckpointMetrics struct {\n    67→\tData      []schema.Float `json:\"data\"`\n    68→\tFrequency int64          `json:\"frequency\"`\n    69→\tStart     int64          `json:\"start\"`\n    70→}\n    71→\n    72→// CheckpointFile represents the hierarchical structure of a checkpoint file.\n    73→// It mirrors the Level tree structure from the MemoryStore.\n    74→type CheckpointFile struct {\n    75→\tMetrics  map[string]*CheckpointMetrics `json:\"metrics\"`\n    76→\tChildren map[string]*CheckpointFile    `json:\"children\"`\n    77→\tFrom     int64                         `json:\"from\"`\n    78→\tTo       int64                         `json:\"to\"`\n    79→}\n    80→\n    81→// lastCheckpoint tracks the timestamp of the last checkpoint creation.\n    82→var (\n    83→\tlastCheckpoint   time.Time\n    84→\tlastCheckpointMu sync.Mutex\n    85→)\n    86→\n    87→// Checkpointing starts a background worker that periodically saves metric data to disk.\n    88→//\n    89→// Checkpoints are written every 12 hours (hardcoded).\n    90→//\n    91→// Format behaviour:\n    92→//   - \"json\": Periodic checkpointing every checkpointInterval\n    93→//   - \"wal\":  Periodic binary snapshots + WAL rotation every checkpointInterval\n    94→func Checkpointing(wg *sync.WaitGroup, ctx context.Context) {\n    95→\tlastCheckpointMu.Lock()\n    96→\tlastCheckpoint = time.Now()\n    97→\tlastCheckpointMu.Unlock()\n    98→\n    99→\tms := GetMemoryStore()\n   100→\n   101→\twg.Go(func() {\n   102→\n   103→\t\td := 12 * time.Hour // default checkpoint interval\n   104→\t\tif Keys.CheckpointInterval != \"\" {\n   105→\t\t\tparsed, err := time.ParseDuration(Keys.CheckpointInterval)\n   106→\t\t\tif err != nil {\n   107→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> invalid checkpoint-interval %q: %s, using default 12h\", Keys.CheckpointInterval, err)\n   108→\t\t\t} else {\n   109→\t\t\t\td = parsed\n   110→\t\t\t}\n   111→\t\t}\n   112→\n   113→\t\tticker := time.NewTicker(d)\n   114→\t\tdefer ticker.Stop()\n   115→\n   116→\t\tfor {\n   117→\t\t\tselect {\n   118→\t\t\tcase <-ctx.Done():\n   119→\t\t\t\treturn\n   120→\t\t\tcase <-ticker.C:\n   121→\t\t\t\tlastCheckpointMu.Lock()\n   122→\t\t\t\tfrom := lastCheckpoint\n   123→\t\t\t\tlastCheckpointMu.Unlock()\n   124→\n   125→\t\t\t\tnow := time.Now()\n   126→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start checkpointing (starting at %s)...\", from.Format(time.RFC3339))\n   127→\n   128→\t\t\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n   129→\t\t\t\t\tn, hostDirs, err := ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), now.Unix())\n   130→\t\t\t\t\tif err != nil {\n   131→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpointing failed: %s\", err.Error())\n   132→\t\t\t\t\t} else {\n   133→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d binary snapshot files created\", n)\n   134→\t\t\t\t\t\tlastCheckpointMu.Lock()\n   135→\t\t\t\t\t\tlastCheckpoint = now\n   136→\t\t\t\t\t\tlastCheckpointMu.Unlock()\n   137→\t\t\t\t\t\t// Rotate WAL files for successfully checkpointed hosts.\n   138→\t\t\t\t\t\tRotateWALFiles(hostDirs)\n   139→\t\t\t\t\t}\n   140→\t\t\t\t} else {\n   141→\t\t\t\t\tn, err := ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), now.Unix())\n   142→\t\t\t\t\tif err != nil {\n   143→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> checkpointing failed: %s\", err.Error())\n   144→\t\t\t\t\t} else {\n   145→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files created\", n)\n   146→\t\t\t\t\t\tlastCheckpointMu.Lock()\n   147→\t\t\t\t\t\tlastCheckpoint = now\n   148→\t\t\t\t\t\tlastCheckpointMu.Unlock()\n   149→\t\t\t\t\t}\n   150→\t\t\t\t}"}]},"uuid":"2e62ad0e-e1ca-4a62-8920-adefada05ab4","timestamp":"2026-03-16T10:19:03.257Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"08bc3ea6-5a29-40ce-a454-517965a2df69","timestamp":"2026-03-16T10:19:03.412Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"62950f86-d692-4cd6-80d5-c9ab75652eb6","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PKpit9DLQd9NqwBkhNcXKB","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package metricstore\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"errors\"\n    11→\t\"fmt\"\n    12→\t\"os\"\n    13→\t\"path/filepath\"\n    14→\t\"sync\"\n    15→\t\"sync/atomic\"\n    16→\t\"time\"\n    17→\n    18→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    19→)\n    20→\n    21→// Worker for either Archiving or Deleting files\n    22→\n    23→func CleanUp(wg *sync.WaitGroup, ctx context.Context) {\n    24→\tif Keys.Cleanup.Mode == \"archive\" {\n    25→\t\t// Run as Archiver\n    26→\t\tcleanUpWorker(wg, ctx,\n    27→\t\t\tKeys.RetentionInMemory,\n    28→\t\t\t\"archiving\",\n    29→\t\t\tKeys.Cleanup.RootDir,\n    30→\t\t\tfalse,\n    31→\t\t)\n    32→\t} else {\n    33→\t\t// Run as Deleter\n    34→\t\tcleanUpWorker(wg, ctx,\n    35→\t\t\tKeys.RetentionInMemory,\n    36→\t\t\t\"deleting\",\n    37→\t\t\t\"\",\n    38→\t\t\ttrue,\n    39→\t\t)\n    40→\t}\n    41→}\n    42→\n    43→// cleanUpWorker takes simple values to configure what it does\n    44→func cleanUpWorker(wg *sync.WaitGroup, ctx context.Context, interval string, mode string, cleanupDir string, delete bool) {\n    45→\twg.Go(func() {\n    46→\n    47→\t\td, err := time.ParseDuration(interval)\n    48→\t\tif err != nil {\n    49→\t\t\tcclog.Fatalf(\"[METRICSTORE]> error parsing %s interval duration: %v\\n\", mode, err)\n    50→\t\t}\n    51→\t\tif d <= 0 {\n    52→\t\t\treturn\n    53→\t\t}\n    54→\n    55→\t\tticker := time.NewTicker(d)\n    56→\t\tdefer ticker.Stop()\n    57→\n    58→\t\tfor {\n    59→\t\t\tselect {\n    60→\t\t\tcase <-ctx.Done():\n    61→\t\t\t\treturn\n    62→\t\t\tcase <-ticker.C:\n    63→\t\t\t\tt := time.Now().Add(-d)\n    64→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start %s checkpoints (older than %s)...\", mode, t.Format(time.RFC3339))\n    65→\n    66→\t\t\t\tn, err := CleanupCheckpoints(Keys.Checkpoints.RootDir, cleanupDir, t.Unix(), delete)\n    67→\n    68→\t\t\t\tif err != nil {\n    69→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> %s failed: %s\", mode, err.Error())\n    70→\t\t\t\t} else {\n    71→\t\t\t\t\tif delete {\n    72→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoints deleted\", n)\n    73→\t\t\t\t\t} else {\n    74→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files archived to parquet\", n)\n    75→\t\t\t\t\t}\n    76→\t\t\t\t}\n    77→\t\t\t}\n    78→\t\t}\n    79→\t})\n    80→}\n    81→\n    82→var ErrNoNewArchiveData error = errors.New(\"all data already archived\")\n    83→\n    84→// CleanupCheckpoints deletes or archives all checkpoint files older than `from`.\n    85→// When archiving, consolidates all hosts per cluster into a single Parquet file.\n    86→func CleanupCheckpoints(checkpointsDir, cleanupDir string, from int64, deleteInstead bool) (int, error) {\n    87→\tif deleteInstead {\n    88→\t\treturn deleteCheckpoints(checkpointsDir, from)\n    89→\t}\n    90→\n    91→\treturn archiveCheckpoints(checkpointsDir, cleanupDir, from)\n    92→}\n    93→\n    94→// deleteCheckpoints removes checkpoint files older than `from` across all clusters/hosts.\n    95→func deleteCheckpoints(checkpointsDir string, from int64) (int, error) {\n    96→\tentries1, err := os.ReadDir(checkpointsDir)\n    97→\tif err != nil {\n    98→\t\treturn 0, err\n    99→\t}\n   100→\n   101→\ttype workItem struct {\n   102→\t\tdir            string\n   103→\t\tcluster, host  string\n   104→\t}\n   105→\n   106→\tvar wg sync.WaitGroup\n   107→\tn, errs := int32(0), int32(0)\n   108→\twork := make(chan workItem, Keys.NumWorkers)\n   109→\n   110→\twg.Add(Keys.NumWorkers)\n   111→\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n   112→\t\tgo func() {\n   113→\t\t\tdefer wg.Done()\n   114→\t\t\tfor item := range work {\n   115→\t\t\t\tentries, err := os.ReadDir(item.dir)\n   116→\t\t\t\tif err != nil {\n   117→\t\t\t\t\tcclog.Errorf(\"error reading %s/%s: %s\", item.cluster, item.host, err.Error())\n   118→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   119→\t\t\t\t\tcontinue\n   120→\t\t\t\t}\n   121→\n   122→\t\t\t\tfiles, err := findFiles(entries, from, false)\n   123→\t\t\t\tif err != nil {\n   124→\t\t\t\t\tcclog.Errorf(\"error finding files in %s/%s: %s\", item.cluster, item.host, err.Error())\n   125→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   126→\t\t\t\t\tcontinue\n   127→\t\t\t\t}\n   128→\n   129→\t\t\t\tfor _, checkpoint := range files {\n   130→\t\t\t\t\tif err := os.Remove(filepath.Join(item.dir, checkpoint)); err != nil {\n   131→\t\t\t\t\t\tcclog.Errorf(\"error deleting %s/%s/%s: %s\", item.cluster, item.host, checkpoint, err.Error())\n   132→\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   133→\t\t\t\t\t} else {\n   134→\t\t\t\t\t\tatomic.AddInt32(&n, 1)\n   135→\t\t\t\t\t}\n   136→\t\t\t\t}\n   137→\t\t\t}\n   138→\t\t}()\n   139→\t}\n   140→\n   141→\tfor _, de1 := range entries1 {\n   142→\t\tentries2, e := os.ReadDir(filepath.Join(checkpointsDir, de1.Name()))\n   143→\t\tif e != nil {\n   144→\t\t\terr = e\n   145→\t\t\tcontinue\n   146→\t\t}\n   147→\n   148→\t\tfor _, de2 := range entries2 {\n   149→\t\t\twork <- workItem{\n   150→\t\t\t\tdir:     filepath.Join(checkpointsDir, de1.Name(), de2.Name()),"}]},"uuid":"3afe89cf-60fc-471d-ae9b-6f193b18a7a9","timestamp":"2026-03-16T10:19:03.485Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"54d4faf4-bc11-4dac-b7f7-b8bdc182f051","timestamp":"2026-03-16T10:19:03.493Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"44c09212-687c-499b-ac29-9cc0e79d8189","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FeC9fr85spYr1P3VKWY5Lc","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package main provides the entry point for the ClusterCockpit backend server.\n     7→// It orchestrates initialization of all subsystems including configuration,\n     8→// database, authentication, and the HTTP server.\n     9→package main\n    10→\n    11→import (\n    12→\t\"context\"\n    13→\t\"encoding/json\"\n    14→\t\"fmt\"\n    15→\t\"os\"\n    16→\t\"os/signal\"\n    17→\t\"runtime/debug\"\n    18→\t\"strings\"\n    19→\t\"sync\"\n    20→\t\"syscall\"\n    21→\t\"time\"\n    22→\n    23→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    24→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n    25→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    26→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n    27→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    28→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    29→\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n    30→\t\"github.com/ClusterCockpit/cc-backend/internal/taskmanager\"\n    31→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    32→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n    33→\t\"github.com/ClusterCockpit/cc-backend/web\"\n    34→\tccconf \"github.com/ClusterCockpit/cc-lib/v2/ccConfig\"\n    35→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    36→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    37→\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n    38→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    39→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n    40→\t\"github.com/google/gops/agent\"\n    41→\t\"github.com/joho/godotenv\"\n    42→\n    43→\t_ \"github.com/mattn/go-sqlite3\"\n    44→)\n    45→\n    46→const logoString = `\n    47→ _____ _           _             ____           _          _ _\n    48→/  ___| |_   _ ___| |_ ___ _ __ / ___|___   ___| | ___ __ (_) |_\n    49→| |   | | | | / __| __/ _ \\ '__| |   / _ \\ / __| |/ / '_ \\| | __|\n    50→| |___| | |_| \\__ \\ ||  __/ |  | |__| (_) | (__|   <| |_) | | |_\n    51→\\_____|_|\\__,_|___/\\__\\___|_|   \\____\\___/ \\___|_|\\_\\ .__/|_|\\__|\n    52→                                                    |_|\n    53→`\n    54→\n    55→// Environment variable names\n    56→const (\n    57→\tenvGOGC = \"GOGC\"\n    58→)\n    59→\n    60→// Default configurations\n    61→const (\n    62→\tdefaultArchiveConfig = `{\"kind\":\"file\",\"path\":\"./var/job-archive\"}`\n    63→)\n    64→\n    65→var (\n    66→\tdate    string\n    67→\tcommit  string\n    68→\tversion string\n    69→)\n    70→\n    71→func printVersion() {\n    72→\tfmt.Print(logoString)\n    73→\tfmt.Printf(\"Version:\\t%s\\n\", version)\n    74→\tfmt.Printf(\"Git hash:\\t%s\\n\", commit)\n    75→\tfmt.Printf(\"Build time:\\t%s\\n\", date)\n    76→\tfmt.Printf(\"SQL db version:\\t%d\\n\", repository.Version)\n    77→\tfmt.Printf(\"Job archive version:\\t%d\\n\", archive.Version)\n    78→}\n    79→\n    80→func initGops() error {\n    81→\tif !flagGops {\n    82→\t\treturn nil\n    83→\t}\n    84→\n    85→\tif err := agent.Listen(agent.Options{}); err != nil {\n    86→\t\treturn fmt.Errorf(\"starting gops agent: %w\", err)\n    87→\t}\n    88→\treturn nil\n    89→}\n    90→\n    91→func loadEnvironment() error {\n    92→\tif err := godotenv.Load(); err != nil {\n    93→\t\treturn fmt.Errorf(\"loading .env file: %w\", err)\n    94→\t}\n    95→\treturn nil\n    96→}\n    97→\n    98→func initConfiguration() error {\n    99→\tccconf.Init(flagConfigFile)\n   100→\n   101→\tcfg := ccconf.GetPackageConfig(\"main\")\n   102→\tif cfg == nil {\n   103→\t\treturn fmt.Errorf(\"main configuration must be present\")\n   104→\t}\n   105→\n   106→\tconfig.Init(cfg)\n   107→\treturn nil\n   108→}\n   109→\n   110→func initDatabase() error {\n   111→\tif config.Keys.DbConfig != nil {\n   112→\t\tcfg := repository.DefaultConfig()\n   113→\t\tdc := config.Keys.DbConfig\n   114→\t\tif dc.CacheSizeMB > 0 {\n   115→\t\t\tcfg.DbCacheSizeMB = dc.CacheSizeMB\n   116→\t\t}\n   117→\t\tif dc.SoftHeapLimitMB > 0 {\n   118→\t\t\tcfg.DbSoftHeapLimitMB = dc.SoftHeapLimitMB\n   119→\t\t}\n   120→\t\tif dc.MaxOpenConnections > 0 {\n   121→\t\t\tcfg.MaxOpenConnections = dc.MaxOpenConnections\n   122→\t\t}\n   123→\t\tif dc.MaxIdleConnections > 0 {\n   124→\t\t\tcfg.MaxIdleConnections = dc.MaxIdleConnections\n   125→\t\t}\n   126→\t\tif dc.ConnectionMaxIdleTimeMins > 0 {\n   127→\t\t\tcfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute\n   128→\t\t}\n   129→\t\trepository.SetConfig(cfg)\n   130→\t}\n   131→\trepository.Connect(config.Keys.DB)\n   132→\treturn nil\n   133→}\n   134→\n   135→func handleDatabaseCommands() error {\n   136→\tif flagMigrateDB {\n   137→\t\terr := repository.MigrateDB(config.Keys.DB)\n   138→\t\tif err != nil {\n   139→\t\t\treturn fmt.Errorf(\"migrating database to version %d: %w\", repository.Version, err)\n   140→\t\t}\n   141→\t\tcclog.Exitf(\"MigrateDB Success: Migrated SQLite database at '%s' to version %d.\\n\",\n   142→\t\t\tconfig.Keys.DB, repository.Version)\n   143→\t}\n   144→\n   145→\tif flagRevertDB {\n   146→\t\terr := repository.RevertDB(config.Keys.DB)\n   147→\t\tif err != nil {\n   148→\t\t\treturn fmt.Errorf(\"reverting database to version %d: %w\", repository.Version-1, err)\n   149→\t\t}\n   150→\t\tcclog.Exitf(\"RevertDB Success: Reverted SQLite database at '%s' to version %d.\\n\","}]},"uuid":"50c72db8-1193-4668-a5ab-a831c0b28297","timestamp":"2026-03-16T10:19:05.300Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"d30ca725-65e2-48c0-aa57-0340539f91b0","timestamp":"2026-03-16T10:19:05.581Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d30ca725-65e2-48c0-aa57-0340539f91b0","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:05.964Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01LJ3XxW1v5AFPnJvbZpSdmT","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UYjt9gRJmVFdedUZ3p6yHJ","name":"Grep","input":{"pattern":"taskmanager\\.Start|archiver\\.Start|metricstore\\.Init|Shutdown","type":"go","path":"/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend","output_mode":"content"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":4160,"cache_read_input_tokens":51519,"cache_creation":{"ephemeral_5m_input_tokens":4160,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7vJwiwLWsiVxoestV","uuid":"bffd57cc-e1a9-43a7-88e6-9209b4e7ffe3"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"c34bac75-fe5d-4d7a-9b2c-eac17e5107ab","timestamp":"2026-03-16T10:19:05.965Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"c34bac75-fe5d-4d7a-9b2c-eac17e5107ab","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UYjt9gRJmVFdedUZ3p6yHJ","type":"tool_result","content":"cmd/cc-backend/main.go:343:\t\tmetricstore.Init(mscfg, metrics, &wg)\ncmd/cc-backend/main.go:373:\tarchiver.Start(repository.GetJobRepository(), ctx)\ncmd/cc-backend/main.go:374:\ttaskmanager.Start(ccconf.GetPackageConfig(\"cron\"), ccconf.GetPackageConfig(\"archive\"))\ncmd/cc-backend/main.go:406:\t\t\tcclog.Info(\"Shutdown signal received\")\ncmd/cc-backend/main.go:411:\t\tsrv.Shutdown(ctx)\ncmd/cc-backend/main.go:412:\t\tutil.FsWatcherShutdown()\ncmd/cc-backend/main.go:413:\t\ttaskmanager.Shutdown()\ncmd/cc-backend/server.go:407:\t\tif err := s.server.Shutdown(shutdownCtx); err != nil {\ncmd/cc-backend/server.go:418:func (s *Server) Shutdown(ctx context.Context) {\ncmd/cc-backend/server.go:429:\tif err := s.server.Shutdown(shutdownCtx); err != nil {\ncmd/cc-backend/server.go:437:\t\tmetricstore.Shutdown()\ncmd/cc-backend/server.go:440:\t// Shutdown archiver with 10 second timeout for fast shutdown\ncmd/cc-backend/server.go:441:\tif err := archiver.Shutdown(10 * time.Second); err != nil {"}]},"uuid":"73ab8bde-0953-4ec8-9bd7-3f54d658a02e","timestamp":"2026-03-16T10:19:05.985Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"b3aad3d9-92aa-4500-bffb-d390c8a27614","timestamp":"2026-03-16T10:19:05.986Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"e7152bfa-6d65-4375-9200-50ded51bd86b","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ST4386xqZyT4q6mcKciHXA","type":"tool_result","content":"   200→\n   201→\t\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n   202→\t\tif err != nil {\n   203→\t\t\thandleError(err, http.StatusInternalServerError, rw)\n   204→\t\t\treturn\n   205→\t\t}\n   206→\n   207→\t\tif job.MonitoringStatus == schema.MonitoringStatusArchivingSuccessful {\n   208→\t\t\tjob.Statistics, err = archive.GetStatistics(job)\n   209→\t\t\tif err != nil {\n   210→\t\t\t\thandleError(err, http.StatusInternalServerError, rw)\n   211→\t\t\t\treturn\n   212→\t\t\t}\n   213→\t\t}\n   214→\n   215→\t\tresults = append(results, job)\n   216→\t}\n   217→\n   218→\tcclog.Debugf(\"/api/jobs: %d jobs returned\", len(results))\n   219→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   220→\tbw := bufio.NewWriter(rw)\n   221→\tdefer bw.Flush()\n   222→\n   223→\tpayload := GetJobsAPIResponse{\n   224→\t\tJobs:  results,\n   225→\t\tItems: page.ItemsPerPage,\n   226→\t\tPage:  page.Page,\n   227→\t}\n   228→\n   229→\tif err := json.NewEncoder(bw).Encode(payload); err != nil {\n   230→\t\thandleError(err, http.StatusInternalServerError, rw)\n   231→\t\treturn\n   232→\t}\n   233→}\n   234→\n   235→// getCompleteJobByID godoc\n   236→// @summary   Get job meta and optional all metric data\n   237→// @tags Job query\n   238→// @description Job to get is specified by database ID\n   239→// @description Returns full job resource information according to 'Job' scheme and all metrics according to 'JobData'.\n   240→// @produce     json\n   241→// @param       id          path     int                  true \"Database ID of Job\"\n   242→// @param       all-metrics query    bool                 false \"Include all available metrics\"\n   243→// @success     200     {object} api.GetJobAPIResponse      \"Job resource\"\n   244→// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n   245→// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n   246→// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n   247→// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n   248→// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n   249→// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n   250→// @security    ApiKeyAuth\n   251→// @router      /api/jobs/{id} [get]\n   252→func (api *RestAPI) getCompleteJobByID(rw http.ResponseWriter, r *http.Request) {\n   253→\t// Fetch job from db\n   254→\tid := chi.URLParam(r, \"id\")\n   255→\tvar job *schema.Job\n   256→\tvar err error\n   257→\tif id != \"\" {\n   258→\t\tid, e := strconv.ParseInt(id, 10, 64)\n   259→\t\tif e != nil {\n   260→\t\t\thandleError(fmt.Errorf(\"integer expected in path for id: %w\", e), http.StatusBadRequest, rw)\n   261→\t\t\treturn\n   262→\t\t}\n   263→\n   264→\t\tjob, err = api.JobRepository.FindByID(r.Context(), id) // Get Job from Repo by ID\n   265→\t} else {\n   266→\t\thandleError(fmt.Errorf(\"the parameter 'id' is required\"), http.StatusBadRequest, rw)\n   267→\t\treturn\n   268→\t}\n   269→\tif err != nil {\n   270→\t\thandleError(fmt.Errorf(\"finding job with db id %s failed: %w\", id, err), http.StatusUnprocessableEntity, rw)\n   271→\t\treturn\n   272→\t}\n   273→\n   274→\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n   275→\tif err != nil {\n   276→\t\thandleError(err, http.StatusInternalServerError, rw)\n   277→\t\treturn\n   278→\n   279→\t}\n   280→\tif _, err = api.JobRepository.FetchMetadata(job); err != nil {\n   281→\n   282→\t\thandleError(err, http.StatusInternalServerError, rw)\n   283→\t\treturn\n   284→\t}\n   285→\n   286→\tvar scopes []schema.MetricScope\n   287→\n   288→\tif job.NumNodes == 1 {\n   289→\t\tscopes = []schema.MetricScope{\"core\"}\n   290→\t} else {\n   291→\t\tscopes = []schema.MetricScope{\"node\"}\n   292→\t}\n   293→\n   294→\tvar data schema.JobData\n   295→\n   296→\tmetricConfigs := archive.GetCluster(job.Cluster).MetricConfig\n   297→\tresolution := 0\n   298→\n   299→\tfor _, mc := range metricConfigs {\n   300→\t\tresolution = max(resolution, mc.Timestep)\n   301→\t}\n   302→\n   303→\tif r.URL.Query().Get(\"all-metrics\") == \"true\" {\n   304→\t\tdata, err = metricdispatch.LoadData(job, nil, scopes, r.Context(), resolution)\n   305→\t\tif err != nil {\n   306→\t\t\tcclog.Warnf(\"REST: error while loading all-metrics job data for JobID %d on %s\", job.JobID, job.Cluster)\n   307→\t\t\treturn\n   308→\t\t}\n   309→\t}\n   310→\n   311→\tcclog.Debugf(\"/api/job/%s: get job %d\", id, job.JobID)\n   312→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   313→\tbw := bufio.NewWriter(rw)\n   314→\tdefer bw.Flush()\n   315→\n   316→\tpayload := GetCompleteJobAPIResponse{\n   317→\t\tMeta: job,\n   318→\t\tData: data,\n   319→\t}\n   320→\n   321→\tif err := json.NewEncoder(bw).Encode(payload); err != nil {\n   322→\t\thandleError(err, http.StatusInternalServerError, rw)\n   323→\t\treturn\n   324→\t}\n   325→}\n   326→\n   327→// getJobByID godoc\n   328→// @summary   Get job meta and configurable metric data\n   329→// @tags Job query\n   330→// @description Job to get is specified by database ID\n   331→// @description Returns full job resource information according to 'Job' scheme and all metrics according to 'JobData'.\n   332→// @accept      json\n   333→// @produce     json\n   334→// @param       id          path     int                  true \"Database ID of Job\"\n   335→// @param       request     body     api.GetJobAPIRequest true  \"Array of metric names\"\n   336→// @success     200     {object} api.GetJobAPIResponse      \"Job resource\"\n   337→// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n   338→// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n   339→// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n   340→// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n   341→// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n   342→// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n   343→// @security    ApiKeyAuth\n   344→// @router      /api/jobs/{id} [post]\n   345→func (api *RestAPI) getJobByID(rw http.ResponseWriter, r *http.Request) {\n   346→\t// Fetch job from db\n   347→\tid := chi.URLParam(r, \"id\")\n   348→\tvar job *schema.Job\n   349→\tvar err error\n   350→\tif id != \"\" {\n   351→\t\tid, e := strconv.ParseInt(id, 10, 64)\n   352→\t\tif e != nil {\n   353→\t\t\thandleError(fmt.Errorf(\"integer expected in path for id: %w\", e), http.StatusBadRequest, rw)\n   354→\t\t\treturn\n   355→\t\t}\n   356→\n   357→\t\tjob, err = api.JobRepository.FindByID(r.Context(), id)\n   358→\t} else {\n   359→\t\thandleError(errors.New(\"the parameter 'id' is required\"), http.StatusBadRequest, rw)\n   360→\t\treturn\n   361→\t}\n   362→\tif err != nil {\n   363→\t\thandleError(fmt.Errorf(\"finding job with db id %s failed: %w\", id, err), http.StatusUnprocessableEntity, rw)\n   364→\t\treturn\n   365→\t}\n   366→\n   367→\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n   368→\tif err != nil {\n   369→\t\thandleError(err, http.StatusInternalServerError, rw)\n   370→\t\treturn\n   371→\n   372→\t}\n   373→\tif _, err = api.JobRepository.FetchMetadata(job); err != nil {\n   374→\n   375→\t\thandleError(err, http.StatusInternalServerError, rw)\n   376→\t\treturn\n   377→\t}\n   378→\n   379→\tvar metrics GetJobAPIRequest\n   380→\tif err = decode(r.Body, &metrics); err != nil {\n   381→\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n   382→\t\treturn\n   383→\t}\n   384→\n   385→\tvar scopes []schema.MetricScope\n   386→\n   387→\tif job.NumNodes == 1 {\n   388→\t\tscopes = []schema.MetricScope{\"core\"}\n   389→\t} else {\n   390→\t\tscopes = []schema.MetricScope{\"node\"}\n   391→\t}\n   392→\n   393→\tmetricConfigs := archive.GetCluster(job.Cluster).MetricConfig\n   394→\tresolution := 0\n   395→\n   396→\tfor _, mc := range metricConfigs {\n   397→\t\tresolution = max(resolution, mc.Timestep)\n   398→\t}\n   399→\n   400→\tdata, err := metricdispatch.LoadData(job, metrics, scopes, r.Context(), resolution)\n   401→\tif err != nil {\n   402→\t\tcclog.Warnf(\"REST: error while loading job data for JobID %d on %s\", job.JobID, job.Cluster)\n   403→\t\treturn\n   404→\t}\n   405→\n   406→\tres := []*JobMetricWithName{}\n   407→\tfor name, md := range data {\n   408→\t\tfor scope, metric := range md {\n   409→\t\t\tres = append(res, &JobMetricWithName{\n   410→\t\t\t\tName:   name,\n   411→\t\t\t\tScope:  scope,\n   412→\t\t\t\tMetric: metric,\n   413→\t\t\t})\n   414→\t\t}\n   415→\t}\n   416→\n   417→\tcclog.Debugf(\"/api/job/%s: get job %d\", id, job.JobID)\n   418→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   419→\tbw := bufio.NewWriter(rw)\n   420→\tdefer bw.Flush()\n   421→\n   422→\tpayload := GetJobAPIResponse{\n   423→\t\tMeta: job,\n   424→\t\tData: res,\n   425→\t}\n   426→\n   427→\tif err := json.NewEncoder(bw).Encode(payload); err != nil {\n   428→\t\thandleError(err, http.StatusInternalServerError, rw)\n   429→\t\treturn\n   430→\t}\n   431→}\n   432→\n   433→// editMeta godoc\n   434→// @summary    Edit meta-data json of job identified by database id\n   435→// @tags Job add and modify\n   436→// @description Edit key value pairs in job metadata json of job specified by database id\n   437→// @description If a key already exists its content will be overwritten\n   438→// @accept      json\n   439→// @produce     json\n   440→// @param       id      path     int                  true \"Job Database ID\"\n   441→// @param       request body     api.EditMetaRequest  true \"Metadata Key value pair to add or update\"\n   442→// @success     200     {object} schema.Job                \"Updated job resource\"\n   443→// @failure     400     {object} api.ErrorResponse         \"Bad Request\"\n   444→// @failure     401     {object} api.ErrorResponse         \"Unauthorized\"\n   445→// @failure     404     {object} api.ErrorResponse         \"Job does not exist\"\n   446→// @failure     500     {object} api.ErrorResponse         \"Internal Server Error\"\n   447→// @security    ApiKeyAuth\n   448→// @router      /api/jobs/edit_meta/{id} [patch]\n   449→func (api *RestAPI) editMeta(rw http.ResponseWriter, r *http.Request) {\n   450→\tid, err := strconv.ParseInt(chi.URLParam(r, \"id\"), 10, 64)\n   451→\tif err != nil {\n   452→\t\thandleError(fmt.Errorf(\"parsing job ID failed: %w\", err), http.StatusBadRequest, rw)\n   453→\t\treturn\n   454→\t}\n   455→\n   456→\tjob, err := api.JobRepository.FindByID(r.Context(), id)\n   457→\tif err != nil {\n   458→\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n   459→\t\treturn\n   460→\t}\n   461→\n   462→\tvar req EditMetaRequest\n   463→\tif err := decode(r.Body, &req); err != nil {\n   464→\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n   465→\t\treturn\n   466→\t}\n   467→\n   468→\tif err := api.JobRepository.UpdateMetadata(job, req.Key, req.Value); err != nil {\n   469→\t\thandleError(fmt.Errorf(\"updating metadata failed: %w\", err), http.StatusInternalServerError, rw)\n   470→\t\treturn\n   471→\t}\n   472→\n   473→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   474→\trw.WriteHeader(http.StatusOK)\n   475→\tif err := json.NewEncoder(rw).Encode(job); err != nil {\n   476→\t\tcclog.Errorf(\"Failed to encode job response: %v\", err)\n   477→\t}\n   478→}\n   479→\n   480→// editMetaByRequest godoc\n   481→// @summary    Edit meta-data json of job identified by request\n   482→// @tags Job add and modify\n   483→// @description Edit key value pairs in metadata json of job specified by jobID, StartTime and Cluster\n   484→// @description If a key already exists its content will be overwritten\n   485→// @accept      json\n   486→// @produce     json\n   487→// @param       request body     api.JobMetaRequest   true \"Specifies job and payload to add or update\"\n   488→// @success     200     {object} schema.Job                \"Updated job resource\"\n   489→// @failure     400     {object} api.ErrorResponse         \"Bad Request\"\n   490→// @failure     401     {object} api.ErrorResponse         \"Unauthorized\"\n   491→// @failure     404     {object} api.ErrorResponse         \"Job does not exist\"\n   492→// @failure     500     {object} api.ErrorResponse         \"Internal Server Error\"\n   493→// @security    ApiKeyAuth\n   494→// @router      /api/jobs/edit_meta/ [patch]\n   495→func (api *RestAPI) editMetaByRequest(rw http.ResponseWriter, r *http.Request) {\n   496→\t// Parse request body\n   497→\treq := JobMetaRequest{}\n   498→\tif err := decode(r.Body, &req); err != nil {\n   499→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)"}]},"uuid":"3aca981d-fe49-453f-82cf-6319171ebbf9","timestamp":"2026-03-16T10:19:06.006Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"edce2b88-2759-4c51-b31d-29c1b6aeb546","timestamp":"2026-03-16T10:19:06.020Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"edce2b88-2759-4c51-b31d-29c1b6aeb546","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:06.431Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01DxpC6YbHcoNjtiTW1NMxbh","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MiiSRGfwasnG3PuKjzkPC8","name":"Grep","input":{"pattern":"UpdateMonitoringStatus|UpdateFootprint|Flush|Exec|NamedExec","type":"go","path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository","output_mode":"content","context":3},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":6439,"cache_read_input_tokens":95757,"cache_creation":{"ephemeral_5m_input_tokens":6439,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7t5WKiozU5nptw7kh","uuid":"4943f452-5595-4151-a6ba-7f1011d0f644"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"3fd6f3e6-3127-4a03-abcc-ae1bfc60d1d7","timestamp":"2026-03-16T10:19:06.432Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"3fd6f3e6-3127-4a03-abcc-ae1bfc60d1d7","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MiiSRGfwasnG3PuKjzkPC8","type":"tool_result","content":"<persisted-output>\nOutput too large (59.9KB). Full output saved to: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/3a41c7a4-abf8-484b-96ae-ee5618eea5ba/tool-results/REDACTED.txt\n\nPreview (first 2KB):\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-182-func (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-183-\tvar err error\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-184-\ninternal/repository/node.go:185:\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-186-\tif err != nil {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-187-\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-188-\t\treturn 0, err\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-235-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-236-\tnodeState.NodeID = id\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-237-\ninternal/repository/node.go:238:\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-239-\tif err != nil {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-240-\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-241-\t\treturn err\n--\ninternal/repository/node.go-291-\t\t\t\tnode := schema.NodeDB{\ninternal/repository/node.go-292-\t\t\t\t\tHostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-293-\t\t\t\t}\ninternal/repository/node.go:294:\t\t\t\tres, insertErr := stmtInsertNode.Exec(&node)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-295-\t\t\t\tif insertErr != nil {\ninternal/repository/node.go-296-\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)\n...\n</persisted-output>"}]},"uuid":"d30021bc-4ee6-4b6e-b76e-08c23a46fd13","timestamp":"2026-03-16T10:19:06.464Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"53842970-bfd8-45d9-9db5-c4fd5644003e","timestamp":"2026-03-16T10:19:06.465Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"53842970-bfd8-45d9-9db5-c4fd5644003e","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:06.863Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01RfkJoCKpmSkkNoRyqKbSR9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LYGKz8XvJ4VHn5vxmxi8mt","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go","offset":545,"limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":551,"cache_read_input_tokens":45041,"cache_creation":{"ephemeral_5m_input_tokens":551,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b84sPbjgj2H6Ltr78S","uuid":"311dd5b9-e19e-4a97-aef9-c30a408d6c44"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"2b5f3bf9-c722-4635-be91-2c9a22ddb906","timestamp":"2026-03-16T10:19:06.864Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"2b5f3bf9-c722-4635-be91-2c9a22ddb906","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LYGKz8XvJ4VHn5vxmxi8mt","type":"tool_result","content":"   545→func (api *RestAPI) tagJob(rw http.ResponseWriter, r *http.Request) {\n   546→\tid, err := strconv.ParseInt(chi.URLParam(r, \"id\"), 10, 64)\n   547→\tif err != nil {\n   548→\t\thandleError(fmt.Errorf(\"parsing job ID failed: %w\", err), http.StatusBadRequest, rw)\n   549→\t\treturn\n   550→\t}\n   551→\n   552→\tjob, err := api.JobRepository.FindByID(r.Context(), id)\n   553→\tif err != nil {\n   554→\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n   555→\t\treturn\n   556→\t}\n   557→\n   558→\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n   559→\tif err != nil {\n   560→\t\thandleError(fmt.Errorf(\"getting tags failed: %w\", err), http.StatusInternalServerError, rw)\n   561→\t\treturn\n   562→\t}\n   563→\n   564→\tvar req TagJobAPIRequest\n   565→\tif err := decode(r.Body, &req); err != nil {\n   566→\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n   567→\t\treturn\n   568→\t}\n   569→\n   570→\tfor _, tag := range req {\n   571→\t\ttagID, err := api.JobRepository.AddTagOrCreate(repository.GetUserFromContext(r.Context()), *job.ID, tag.Type, tag.Name, tag.Scope)\n   572→\t\tif err != nil {\n   573→\t\t\thandleError(fmt.Errorf(\"adding tag failed: %w\", err), http.StatusInternalServerError, rw)\n   574→\t\t\treturn\n   575→\t\t}\n   576→\n   577→\t\tjob.Tags = append(job.Tags, &schema.Tag{\n   578→\t\t\tID:    tagID,\n   579→\t\t\tType:  tag.Type,\n   580→\t\t\tName:  tag.Name,\n   581→\t\t\tScope: tag.Scope,\n   582→\t\t})\n   583→\t}\n   584→\n   585→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   586→\trw.WriteHeader(http.StatusOK)\n   587→\tif err := json.NewEncoder(rw).Encode(job); err != nil {\n   588→\t\tcclog.Errorf(\"Failed to encode job response: %v\", err)\n   589→\t}\n   590→}\n   591→\n   592→// removeTagJob godoc\n   593→// @summary     Removes one or more tags from a job\n   594→// @tags Job add and modify\n   595→// @description Removes tag(s) from a job specified by DB ID. Name and Type of Tag(s) must match.\n   596→// @description Tag Scope is required for matching, options: \"global\", \"admin\". Private tags can not be deleted via API.\n   597→// @description If tagged job is already finished: Tag will be removed from respective archive files.\n   598→// @accept      json\n   599→// @produce     json\n   600→// @param       id      path     int                  true \"Job Database ID\"\n   601→// @param       request body     api.TagJobAPIRequest true \"Array of tag-objects to remove\"\n   602→// @success     200     {object} schema.Job                \"Updated job resource\"\n   603→// @failure     400     {object} api.ErrorResponse         \"Bad Request\"\n   604→// @failure     401     {object} api.ErrorResponse         \"Unauthorized\"\n   605→// @failure     404     {object} api.ErrorResponse         \"Job or tag does not exist\"\n   606→// @failure     500     {object} api.ErrorResponse         \"Internal Server Error\"\n   607→// @security    ApiKeyAuth\n   608→// @router      /jobs/tag_job/{id} [delete]\n   609→func (api *RestAPI) removeTagJob(rw http.ResponseWriter, r *http.Request) {\n   610→\tid, err := strconv.ParseInt(chi.URLParam(r, \"id\"), 10, 64)\n   611→\tif err != nil {\n   612→\t\thandleError(fmt.Errorf(\"parsing job ID failed: %w\", err), http.StatusBadRequest, rw)\n   613→\t\treturn\n   614→\t}\n   615→\n   616→\tjob, err := api.JobRepository.FindByID(r.Context(), id)\n   617→\tif err != nil {\n   618→\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n   619→\t\treturn\n   620→\t}\n   621→\n   622→\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n   623→\tif err != nil {\n   624→\t\thandleError(fmt.Errorf(\"getting tags failed: %w\", err), http.StatusInternalServerError, rw)\n   625→\t\treturn\n   626→\t}\n   627→\n   628→\tvar req TagJobAPIRequest\n   629→\tif err := decode(r.Body, &req); err != nil {\n   630→\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n   631→\t\treturn\n   632→\t}\n   633→\n   634→\tfor _, rtag := range req {\n   635→\t\t// Only Global and Admin Tags\n   636→\t\tif rtag.Scope != \"global\" && rtag.Scope != \"admin\" {\n   637→\t\t\tcclog.Warnf(\"Cannot delete private tag for job %d: Skip\", job.JobID)\n   638→\t\t\tcontinue\n   639→\t\t}\n   640→\n   641→\t\tremainingTags, err := api.JobRepository.RemoveJobTagByRequest(repository.GetUserFromContext(r.Context()), *job.ID, rtag.Type, rtag.Name, rtag.Scope)\n   642→\t\tif err != nil {\n   643→\t\t\thandleError(fmt.Errorf(\"removing tag failed: %w\", err), http.StatusInternalServerError, rw)\n   644→\t\t\treturn\n   645→\t\t}\n   646→\n   647→\t\tjob.Tags = remainingTags\n   648→\t}\n   649→\n   650→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   651→\trw.WriteHeader(http.StatusOK)\n   652→\tif err := json.NewEncoder(rw).Encode(job); err != nil {\n   653→\t\tcclog.Errorf(\"Failed to encode job response: %v\", err)\n   654→\t}\n   655→}\n   656→\n   657→// removeTags godoc\n   658→// @summary     Removes all tags and job-relations for type:name tuple\n   659→// @tags Tag remove\n   660→// @description Removes tags by type and name. Name and Type of Tag(s) must match.\n   661→// @description Tag Scope is required for matching, options: \"global\", \"admin\". Private tags can not be deleted via API.\n   662→// @description Tag wills be removed from respective archive files.\n   663→// @accept      json\n   664→// @produce     plain\n   665→// @param       request body     api.TagJobAPIRequest true \"Array of tag-objects to remove\"\n   666→// @success     200     {string} string                    \"Success Response\"\n   667→// @failure     400     {object} api.ErrorResponse         \"Bad Request\"\n   668→// @failure     401     {object} api.ErrorResponse         \"Unauthorized\"\n   669→// @failure     404     {object} api.ErrorResponse         \"Job or tag does not exist\"\n   670→// @failure     500     {object} api.ErrorResponse         \"Internal Server Error\"\n   671→// @security    ApiKeyAuth\n   672→// @router      /tags/ [delete]\n   673→func (api *RestAPI) removeTags(rw http.ResponseWriter, r *http.Request) {\n   674→\tvar req TagJobAPIRequest\n   675→\tif err := decode(r.Body, &req); err != nil {\n   676→\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n   677→\t\treturn\n   678→\t}\n   679→\n   680→\ttargetCount := len(req)\n   681→\tcurrentCount := 0\n   682→\tfor _, rtag := range req {\n   683→\t\t// Only Global and Admin Tags\n   684→\t\tif rtag.Scope != \"global\" && rtag.Scope != \"admin\" {\n   685→\t\t\tcclog.Warn(\"Cannot delete private tag: Skip\")\n   686→\t\t\tcontinue\n   687→\t\t}\n   688→\n   689→\t\terr := api.JobRepository.RemoveTagByRequest(rtag.Type, rtag.Name, rtag.Scope)\n   690→\t\tif err != nil {\n   691→\t\t\thandleError(fmt.Errorf(\"removing tag failed: %w\", err), http.StatusInternalServerError, rw)\n   692→\t\t\treturn\n   693→\t\t}\n   694→\t\tcurrentCount++"}]},"uuid":"4640341b-02e3-4fc7-9da4-4b8ac5b807c2","timestamp":"2026-03-16T10:19:06.875Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"304b8a57-a0f3-449b-af1f-efae4b9ee82b","timestamp":"2026-03-16T10:19:07.092Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"304b8a57-a0f3-449b-af1f-efae4b9ee82b","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:07.284Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01RfkJoCKpmSkkNoRyqKbSR9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GYNNrKhPhhwkDPePmbnzqP","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go","offset":717,"limit":100},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":551,"cache_read_input_tokens":45041,"cache_creation":{"ephemeral_5m_input_tokens":551,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b84sPbjgj2H6Ltr78S","uuid":"0e2319e1-a334-406c-b861-a62b8cc4a2d1"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"e9d92599-e7a0-4dfd-9cdd-d2f2df72175f","timestamp":"2026-03-16T10:19:07.284Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"e9d92599-e7a0-4dfd-9cdd-d2f2df72175f","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GYNNrKhPhhwkDPePmbnzqP","type":"tool_result","content":"   717→func (api *RestAPI) startJob(rw http.ResponseWriter, r *http.Request) {\n   718→\treq := schema.Job{\n   719→\t\tShared:           \"none\",\n   720→\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n   721→\t}\n   722→\tif err := decode(r.Body, &req); err != nil {\n   723→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n   724→\t\treturn\n   725→\t}\n   726→\n   727→\tcclog.Debugf(\"REST: %s\", req.GoString())\n   728→\treq.State = schema.JobStateRunning\n   729→\n   730→\tif err := importer.SanityChecks(&req); err != nil {\n   731→\t\thandleError(err, http.StatusBadRequest, rw)\n   732→\t\treturn\n   733→\t}\n   734→\n   735→\t// aquire lock to avoid race condition between API calls\n   736→\tvar unlockOnce sync.Once\n   737→\tapi.RepositoryMutex.Lock()\n   738→\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n   739→\n   740→\t// Check if combination of (job_id, cluster_id, start_time) already exists:\n   741→\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n   742→\tif err != nil && err != sql.ErrNoRows {\n   743→\t\thandleError(fmt.Errorf(\"checking for duplicate failed: %w\", err), http.StatusInternalServerError, rw)\n   744→\t\treturn\n   745→\t}\n   746→\tif err == nil {\n   747→\t\tfor _, job := range jobs {\n   748→\t\t\t// Check if jobs are within the same day (prevent duplicates)\n   749→\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n   750→\t\t\t\thandleError(fmt.Errorf(\"a job with that jobId, cluster and startTime already exists: dbid: %d, jobid: %d\", *job.ID, job.JobID), http.StatusUnprocessableEntity, rw)\n   751→\t\t\t\treturn\n   752→\t\t\t}\n   753→\t\t}\n   754→\t}\n   755→\n   756→\t// When tags are present, insert directly into the job table so that the\n   757→\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n   758→\t// Jobs without tags use the cache path as before.\n   759→\tvar id int64\n   760→\tif len(req.Tags) > 0 {\n   761→\t\tid, err = api.JobRepository.StartDirect(&req)\n   762→\t} else {\n   763→\t\tid, err = api.JobRepository.Start(&req)\n   764→\t}\n   765→\tif err != nil {\n   766→\t\thandleError(fmt.Errorf(\"insert into database failed: %w\", err), http.StatusInternalServerError, rw)\n   767→\t\treturn\n   768→\t}\n   769→\t// unlock here, adding Tags can be async\n   770→\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n   771→\n   772→\tfor _, tag := range req.Tags {\n   773→\t\tif _, err := api.JobRepository.AddTagOrCreate(repository.GetUserFromContext(r.Context()), id, tag.Type, tag.Name, tag.Scope); err != nil {\n   774→\t\t\thandleError(fmt.Errorf(\"adding tag to new job %d failed: %w\", id, err), http.StatusInternalServerError, rw)\n   775→\t\t\treturn\n   776→\t\t}\n   777→\t}\n   778→\n   779→\tcclog.Infof(\"new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\", id, req.Cluster, req.JobID, req.User, req.StartTime)\n   780→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   781→\trw.WriteHeader(http.StatusCreated)\n   782→\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{\n   783→\t\tMessage: \"success\",\n   784→\t}); err != nil {\n   785→\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n   786→\t}\n   787→}\n   788→\n   789→// stopJobByRequest godoc\n   790→// @summary     Marks job as completed and triggers archiving\n   791→// @tags Job add and modify\n   792→// @description Job to stop is specified by request body. All fields are required in this case.\n   793→// @description Returns full job resource information according to 'Job' scheme.\n   794→// @produce     json\n   795→// @param       request body     api.StopJobAPIRequest true \"All fields required\"\n   796→// @success     200     {object} schema.Job                 \"Success message\"\n   797→// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n   798→// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n   799→// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n   800→// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n   801→// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: job has already been stopped\"\n   802→// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n   803→// @security    ApiKeyAuth\n   804→// @router      /api/jobs/stop_job/ [post]\n   805→func (api *RestAPI) stopJobByRequest(rw http.ResponseWriter, r *http.Request) {\n   806→\t// Parse request body\n   807→\treq := StopJobAPIRequest{}\n   808→\tif err := decode(r.Body, &req); err != nil {\n   809→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n   810→\t\treturn\n   811→\t}\n   812→\n   813→\t// Fetch job (that will be stopped) from db\n   814→\tvar job *schema.Job\n   815→\tvar err error\n   816→\tif req.JobID == nil {"}]},"uuid":"d7765e85-64ef-4bf3-b716-26095eaada66","timestamp":"2026-03-16T10:19:07.295Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"0eee65f7-a69b-4e94-a68a-ac89d15acfd0","timestamp":"2026-03-16T10:19:07.296Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"0eee65f7-a69b-4e94-a68a-ac89d15acfd0","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:07.443Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01RfkJoCKpmSkkNoRyqKbSR9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ExpCisrNRq5BUKnBPYePbU","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go","offset":805,"limit":100},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":551,"cache_read_input_tokens":45041,"cache_creation":{"ephemeral_5m_input_tokens":551,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b84sPbjgj2H6Ltr78S","uuid":"b66e4a22-d59c-4183-b793-e7dc34d3321f"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"fa2f6f68-d860-4d91-9f2a-6ba0f5ad4477","timestamp":"2026-03-16T10:19:07.444Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"fa2f6f68-d860-4d91-9f2a-6ba0f5ad4477","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ExpCisrNRq5BUKnBPYePbU","type":"tool_result","content":"   805→func (api *RestAPI) stopJobByRequest(rw http.ResponseWriter, r *http.Request) {\n   806→\t// Parse request body\n   807→\treq := StopJobAPIRequest{}\n   808→\tif err := decode(r.Body, &req); err != nil {\n   809→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n   810→\t\treturn\n   811→\t}\n   812→\n   813→\t// Fetch job (that will be stopped) from db\n   814→\tvar job *schema.Job\n   815→\tvar err error\n   816→\tif req.JobID == nil {\n   817→\t\thandleError(errors.New(\"the field 'jobId' is required\"), http.StatusBadRequest, rw)\n   818→\t\treturn\n   819→\t}\n   820→\n   821→\tisCached := false\n   822→\tjob, err = api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n   823→\tif err != nil {\n   824→\t\t// Not in cache, try main job table\n   825→\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n   826→\t\tif err != nil {\n   827→\t\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n   828→\t\t\treturn\n   829→\t\t}\n   830→\t} else {\n   831→\t\tisCached = true\n   832→\t}\n   833→\n   834→\tapi.checkAndHandleStopJob(rw, job, req, isCached)\n   835→}\n   836→\n   837→// deleteJobByID godoc\n   838→// @summary     Remove a job from the sql database\n   839→// @tags Job remove\n   840→// @description Job to remove is specified by database ID. This will not remove the job from the job archive.\n   841→// @produce     json\n   842→// @param       id      path     int                   true \"Database ID of Job\"\n   843→// @success     200     {object} api.DefaultAPIResponse  \"Success message\"\n   844→// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n   845→// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n   846→// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n   847→// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n   848→// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n   849→// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n   850→// @security    ApiKeyAuth\n   851→// @router      /api/jobs/delete_job/{id} [delete]\n   852→func (api *RestAPI) deleteJobByID(rw http.ResponseWriter, r *http.Request) {\n   853→\t// Fetch job (that will be stopped) from db\n   854→\tid := chi.URLParam(r, \"id\")\n   855→\tvar err error\n   856→\tif id != \"\" {\n   857→\t\tid, e := strconv.ParseInt(id, 10, 64)\n   858→\t\tif e != nil {\n   859→\t\t\thandleError(fmt.Errorf(\"integer expected in path for id: %w\", e), http.StatusBadRequest, rw)\n   860→\t\t\treturn\n   861→\t\t}\n   862→\n   863→\t\terr = api.JobRepository.DeleteJobByID(id)\n   864→\t} else {\n   865→\t\thandleError(errors.New(\"the parameter 'id' is required\"), http.StatusBadRequest, rw)\n   866→\t\treturn\n   867→\t}\n   868→\tif err != nil {\n   869→\t\thandleError(fmt.Errorf(\"deleting job failed: %w\", err), http.StatusUnprocessableEntity, rw)\n   870→\t\treturn\n   871→\t}\n   872→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   873→\trw.WriteHeader(http.StatusOK)\n   874→\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{\n   875→\t\tMessage: fmt.Sprintf(\"Successfully deleted job %s\", id),\n   876→\t}); err != nil {\n   877→\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n   878→\t}\n   879→}\n   880→\n   881→// deleteJobByRequest godoc\n   882→// @summary     Remove a job from the sql database\n   883→// @tags Job remove\n   884→// @description Job to delete is specified by request body. All fields are required in this case.\n   885→// @accept      json\n   886→// @produce     json\n   887→// @param       request body     api.DeleteJobAPIRequest true \"All fields required\"\n   888→// @success     200     {object} api.DefaultAPIResponse  \"Success message\"\n   889→// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n   890→// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n   891→// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n   892→// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n   893→// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n   894→// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n   895→// @security    ApiKeyAuth\n   896→// @router      /api/jobs/delete_job/ [delete]\n   897→func (api *RestAPI) deleteJobByRequest(rw http.ResponseWriter, r *http.Request) {\n   898→\t// Parse request body\n   899→\treq := DeleteJobAPIRequest{}\n   900→\tif err := decode(r.Body, &req); err != nil {\n   901→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n   902→\t\treturn\n   903→\t}\n   904→"}]},"uuid":"e00c7de5-7f86-4b5f-8f7f-cddb9406d9d7","timestamp":"2026-03-16T10:19:07.464Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"63ba61f9-1114-4898-baad-474edfedd759","timestamp":"2026-03-16T10:19:07.466Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"8906c93f-4756-4ed1-9db1-3a07f271140c","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015Qpf28zLY44uQaMyphVp5G","type":"tool_result","content":"internal/repository/job.go-192-\t\treturn fmt.Errorf(\"failed to optimize database: %w\", err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-193-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-194-\treturn nil\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-195-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-196-\ninternal/repository/job.go:197:// Flush removes all data from job-related tables (jobtag, tag, job).\ninternal/repository/job.go-198-/ WARNING: This is a destructive operation that deletes all job data.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-199-// Use with extreme caution, typically only for testing or complete resets.\ninternal/repository/job.go:200:func (r *JobRepository) Flush() error {\ninternal/repository/job.go-201-\tif _, err := r.DB.Exec(`DELETE FROM jobtag`); err != nil {\ninternal/repository/job.go-202-\t\tcclog.Errorf(\"Error while deleting from jobtag table: %v\", err)\ninternal/repository/job.go-203-\t\treturn fmt.Errorf(\"failed to flush jobtag table: %w\", err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-204-\t}\ninternal/repository/job.go-205-\tif _, err := r.DB.Exec(`DELETE FROM tag`); err != nil {\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-253-\tr.cache.Put(cachekey, job.MetaData, len(job.RawMetaData), 24*time.Hour)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-254-\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-255-\treturn job.MetaData, nil\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-256-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-257-\ninternal/repository/job.go:258:// UpdateMetadata adds or updates a single metadata key-value pair for a job.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-259-// The entire metadata map is re-marshaled and stored, and the cache is invalidated.\ninternal/repository/job.go:260:// Also triggers archive metadata update via archive.UpdateMetadata.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-261-//\ninternal/repository/job.go-262-/ Parameters:\ninternal/repository/job.go-263-/   - job: Job struct with valid ID, existing metadata will be fetched if not present\ninternal/repository/job.go-264-/   - key: Metadata key to set\ninternal/repository/job.go-265-/   - val: Metadata value to set\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-266-//\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-267-// Returns an error if the job is nil, metadata fetch fails, or database update fails.\ninternal/repository/job.go:268:func (r *JobRepository) UpdateMetadata(job *schema.Job, key, val string) (err error) {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-269-\tif job == nil {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-270-\t\treturn fmt.Errorf(\"job cannot be nil\")\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-271-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-272-\ninternal/repository/job.go-273-\tcachekey := fmt.Sprintf(\"metadata:%d\", *job.ID)\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-300-\t\tcclog.Warnf(\"Error while updating metadata for job, DB ID '%v'\", *job.ID)\ninternal/repository/job.go-301-\t\treturn fmt.Errorf(\"failed to update metadata in database for job %d: %w\", *job.ID, err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-302-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-303-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-304-\tr.cache.Put(cachekey, job.MetaData, len(job.RawMetaData), 24*time.Hour)\ninternal/repository/job.go:305:\treturn archive.UpdateMetadata(job, job.MetaData)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-306-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-307-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-308-// FetchFootprint retrieves and unmarshals the performance footprint JSON for a job.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-309-// Unlike FetchMetadata, footprints are NOT cached as they can be large and change frequently.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-310-//\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-381-\tr.cache.Put(cachekey, job.EnergyFootprint, len(job.EnergyFootprint), 24*time.Hour)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-382-\tcclog.Debugf(\"Timer FetchEnergyFootprint %s\", time.Since(start))\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-383-\treturn job.EnergyFootprint, nil\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-384-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-385-\ninternal/repository/job.go:386:// DeleteJobsBefore removes jobs older than the specified start time.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-387-// Optionally preserves tagged jobs to protect important data from deletion.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-388-// Cache entries for deleted jobs are automatically invalidated.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-389-//\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-390-// This is typically used for data retention policies and cleanup operations.\ninternal/repository/job.go-391-/ WARNING: This is a destructive operation that permanently deletes job records.\n--\ninternal/repository/job.go-394-/   - startTime: Unix timestamp, jobs with start_time < this value will be deleted\ninternal/repository/job.go-395-/   - omitTagged: \"none\" = delete all jobs, \"all\" = skip any tagged jobs,\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-396-//     \"user\" = skip jobs with user-created tags (not auto-tagger types \"app\"/\"jobClass\")\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-397-//\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-398-// Returns the count of deleted jobs or an error if the operation fails.\ninternal/repository/job.go:399:func (r *JobRepository) DeleteJobsBefore(startTime int64, omitTagged string) (int, error) {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-400-\tvar cnt int\ninternal/repository/job.go-401-\tq := sq.Select(\"count(*)\").From(\"job\").Where(\"job.start_time < ?\", startTime)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-402-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-403-\tswitch omitTagged {\ninternal/repository/job.go-404-\tcase \"all\":\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-451-\t}\ninternal/repository/job.go-452-\t_, err := qd.RunWith(r.DB).Exec()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-453-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-454-\tif err != nil {\ninternal/repository/job.go-455-\t\ts, _, _ := qd.ToSql()\ninternal/repository/job.go:456:\t\tcclog.Errorf(\" DeleteJobsBefore(%d) with %s: error %#v\", startTime, s, err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-457-\t} else {\ninternal/repository/job.go:458:\t\tcclog.Debugf(\"DeleteJobsBefore(%d): Deleted %d jobs\", startTime, cnt)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-459-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-460-\treturn cnt, err\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-461-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-462-\ninternal/repository/job.go:463:// DeleteJobByID permanently removes a single job by its database ID.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-464-// Cache entries for the deleted job are automatically invalidated.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-465-//\ninternal/repository/job.go-466-/ Parameters:\ninternal/repository/job.go-467-/   - id: Database ID (primary key) of the job to delete\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-468-//\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-469-// Returns an error if the deletion fails.\ninternal/repository/job.go:470:func (r *JobRepository) DeleteJobByID(id int64) error {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-471-\t// Invalidate cache entries before deletion\ninternal/repository/job.go-472-\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", id))\ninternal/repository/job.go-473-\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", id))\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-474-\ninternal/repository/job.go-475-\tqd := sq.Delete(\"job\").Where(\"job.id = ?\", id)\ninternal/repository/job.go-476-\t_, err := qd.RunWith(r.DB).Exec()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-477-\n\n[Showing results with pagination = limit: 100, offset: 0]"}]},"uuid":"2d409439-d0b4-4534-9c02-afd542f420b7","timestamp":"2026-03-16T10:19:08.651Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"cbc446a9-79c8-4247-9579-24c2e865a303","timestamp":"2026-03-16T10:19:08.652Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"cc2fbd65-7f66-4b04-a1e4-2904a32db284","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NdeBas8R1dYs6xyiYPL8nD","type":"tool_result","content":"   320→func Retention(wg *sync.WaitGroup, ctx context.Context) {\n   321→\tms := GetMemoryStore()\n   322→\n   323→\twg.Go(func() {\n   324→\t\td, err := time.ParseDuration(Keys.RetentionInMemory)\n   325→\t\tif err != nil {\n   326→\t\t\tcclog.Fatal(err)\n   327→\t\t}\n   328→\t\tif d <= 0 {\n   329→\t\t\treturn\n   330→\t\t}\n   331→\n   332→\t\ttickInterval := d / 2\n   333→\t\tif tickInterval <= 0 {\n   334→\t\t\treturn\n   335→\t\t}\n   336→\t\tticker := time.NewTicker(tickInterval)\n   337→\t\tdefer ticker.Stop()\n   338→\n   339→\t\tfor {\n   340→\t\t\tselect {\n   341→\t\t\tcase <-ctx.Done():\n   342→\t\t\t\treturn\n   343→\t\t\tcase <-ticker.C:\n   344→\t\t\t\tstate.mu.Lock()\n   345→\n   346→\t\t\t\tt := time.Now().Add(-d)\n   347→\n   348→\t\t\t\tstate.lastRetentionTime = t.Unix()\n   349→\n   350→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start freeing buffers (older than %s)...\\n\", t.Format(time.RFC3339))\n   351→\n   352→\t\t\t\tfreed, err := Free(ms, t)\n   353→\t\t\t\tif err != nil {\n   354→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> freeing up buffers failed: %s\\n\", err.Error())\n   355→\t\t\t\t} else {\n   356→\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d buffers freed\\n\", freed)\n   357→\t\t\t\t}\n   358→\n   359→\t\t\t\tstate.mu.Unlock()\n   360→\n   361→\t\t\t\t// Clean up the buffer pool\n   362→\t\t\t\tbufferPool.Clean(state.lastRetentionTime)\n   363→\t\t\t}\n   364→\t\t}\n   365→\t})\n   366→}\n   367→\n   368→// MemoryUsageTracker starts a background goroutine that monitors memory usage.\n   369→//\n   370→// This worker checks actual process memory usage (via runtime.MemStats) periodically\n   371→// and force-frees buffers if memory exceeds the configured cap. It uses FreeOSMemory()\n   372→// to return memory to the OS after freeing buffers, avoiding aggressive GC that causes\n   373→// performance issues.\n   374→//\n   375→// The tracker logs both actual memory usage (heap allocated) and metric data size for\n   376→// visibility into memory overhead from Go runtime structures and allocations.\n   377→//\n   378→// Parameters:\n   379→//   - wg: WaitGroup to signal completion when context is cancelled\n   380→//   - ctx: Context for cancellation signal\n   381→//\n   382→// The goroutine exits when ctx is cancelled.\n   383→func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n   384→\tms := GetMemoryStore()\n   385→\n   386→\twg.Go(func() {\n   387→\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n   388→\t\tfastInterval := 30 * time.Second\n   389→\n   390→\t\tif normalInterval <= 0 {\n   391→\t\t\treturn\n   392→\t\t}\n   393→\n   394→\t\tticker := time.NewTicker(normalInterval)\n   395→\t\tdefer ticker.Stop()\n   396→\t\tcurrentInterval := normalInterval\n   397→\n   398→\t\tfor {\n   399→\t\t\tselect {\n   400→\t\t\tcase <-ctx.Done():\n   401→\t\t\t\treturn\n   402→\t\t\tcase <-ticker.C:\n   403→\t\t\t\tvar mem runtime.MemStats\n   404→\t\t\t\truntime.ReadMemStats(&mem)\n   405→\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n   406→\t\t\t\tmetricDataGB := ms.SizeInGB()\n   407→\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n   408→\n   409→\t\t\t\tfreedExcluded := 0\n   410→\t\t\t\tfreedEmergency := 0\n   411→\t\t\t\tvar err error\n   412→\n   413→\t\t\t\tstate.mu.RLock()\n   414→\t\t\t\tlastRetention := state.lastRetentionTime\n   415→\t\t\t\tselectorsExcluded := state.selectorsExcluded\n   416→\t\t\t\tstate.mu.RUnlock()\n   417→\n   418→\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n   419→\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)"}]},"uuid":"5b4c35c0-fc01-4022-a011-013b32741288","timestamp":"2026-03-16T10:19:09.204Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"364641d9-347b-41a2-a9db-960427401ea3","timestamp":"2026-03-16T10:19:09.403Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"364641d9-347b-41a2-a9db-960427401ea3","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:09.618Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Wb4dkjYd4jwne2EgDyvMHQ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BDMqedPDw7gCBUtiqc5Kwq","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go","offset":383,"limit":50},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":328,"cache_read_input_tokens":58729,"cache_creation":{"ephemeral_5m_input_tokens":328,"ephemeral_1h_input_tokens":0},"output_tokens":25,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b8Es9pmtCHDiNfBQfT","uuid":"68992642-791f-465b-a8aa-3025b7bb3643"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"d2f5045b-6c97-44d5-8087-6b59bd23895a","timestamp":"2026-03-16T10:19:09.618Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d2f5045b-6c97-44d5-8087-6b59bd23895a","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HN9rNbdVCqsrRSEUmmGm2d","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// This file contains job statistics and histogram generation functionality for the JobRepository.\n     7→//\n     8→// # Job Statistics\n     9→//\n    10→// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n    11→// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n    12→//   - Overall (JobsStats): Single aggregate across all matching jobs\n    13→//   - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n    14→//   - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n    15→//\n    16→// All statistics methods support filtering via JobFilter and respect security contexts.\n    17→//\n    18→// # Histograms\n    19→//\n    20→// Histogram methods generate distribution data for visualization:\n    21→//   - Duration, nodes, cores, accelerators (AddHistograms)\n    22→//   - Job metrics like CPU load, memory usage (AddMetricHistograms)\n    23→//\n    24→// Histograms use intelligent binning:\n    25→//   - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n    26→//   - Resources: Natural value-based bins\n    27→//   - Metrics: Normalized to peak values with configurable bin counts\n    28→//\n    29→// # Running vs. Completed Jobs\n    30→//\n    31→// Statistics handle running jobs specially:\n    32→//   - Duration calculated as (now - start_time) for running jobs\n    33→//   - Metric histograms for running jobs load data from metric backend instead of footprint\n    34→//   - Job state filtering distinguishes running/completed jobs\n    35→//\n    36→// # Performance Considerations\n    37→//\n    38→// - All queries use prepared statements via stmtCache\n    39→// - Complex aggregations use SQL for efficiency\n    40→// - Histogram pre-initialization ensures consistent bin ranges\n    41→// - Metric histogram queries limited to 5000 jobs for running job analysis\n    42→\n    43→package repository\n    44→\n    45→import (\n    46→\t\"context\"\n    47→\t\"database/sql\"\n    48→\t\"fmt\"\n    49→\t\"time\"\n    50→\n    51→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    52→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    53→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    54→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    55→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    56→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    57→\tsq \"github.com/Masterminds/squirrel\"\n    58→\t\"golang.org/x/sync/errgroup\"\n    59→)\n    60→\n    61→// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n    62→// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n    63→// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\n    64→var groupBy2column = map[model.Aggregate]string{\n    65→\tmodel.AggregateUser:       \"job.hpc_user\",\n    66→\tmodel.AggregateProject:    \"job.project\",\n    67→\tmodel.AggregateCluster:    \"job.cluster\",\n    68→\tmodel.AggregateSubcluster: \"job.subcluster\",\n    69→}\n    70→\n    71→// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n    72→// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n    73→// Column names match the AS aliases used in buildStatsQuery.\n    74→var sortBy2column = map[model.SortByAggregate]string{\n    75→\tmodel.SortByAggregateTotaljobs:      \"totalJobs\",\n    76→\tmodel.SortByAggregateTotalusers:     \"totalUsers\",\n    77→\tmodel.SortByAggregateTotalwalltime:  \"totalWalltime\",\n    78→\tmodel.SortByAggregateTotalnodes:     \"totalNodes\",\n    79→\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n    80→\tmodel.SortByAggregateTotalcores:     \"totalCores\",\n    81→\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n    82→\tmodel.SortByAggregateTotalaccs:      \"totalAccs\",\n    83→\tmodel.SortByAggregateTotalacchours:  \"totalAccHours\",\n    84→}\n    85→\n    86→// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n    87→//\n    88→// Parameters:\n    89→//   - filter: Job filters to apply (cluster, user, time range, etc.)\n    90→//   - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n    91→//   - col: Column name to GROUP BY; empty string for total count without grouping\n    92→//\n    93→// Returns a SelectBuilder that produces either:\n    94→//   - Single count: COUNT(job.id) when col is empty\n    95→//   - Grouped counts: col, COUNT(job.id) when col is specified\n    96→//\n    97→// The kind parameter enables counting specific job categories:\n    98→//   - \"running\": Only jobs with job_state = 'running'\n    99→//   - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n   100→//   - empty: All jobs matching filters\n   101→func (r *JobRepository) buildCountQuery(\n   102→\tfilter []*model.JobFilter,\n   103→\tkind string,\n   104→\tcol string,\n   105→) sq.SelectBuilder {\n   106→\tvar query sq.SelectBuilder\n   107→\n   108→\tif col != \"\" {\n   109→\t\tquery = sq.Select(col, \"COUNT(*)\").From(\"job\").GroupBy(col)\n   110→\t} else {\n   111→\t\tquery = sq.Select(\"COUNT(*)\").From(\"job\")\n   112→\t}\n   113→\n   114→\tswitch kind {\n   115→\tcase \"running\":\n   116→\t\tquery = query.Where(\"job.job_state = 'running'\")\n   117→\tcase \"short\":\n   118→\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n   119→\t}\n   120→\n   121→\tfor _, f := range filter {\n   122→\t\tquery = BuildWhereClause(f, query)\n   123→\t}\n   124→\n   125→\treturn query\n   126→}\n   127→\n   128→// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n   129→// Only requested columns are computed; unrequested columns select 0 as placeholder.\n   130→//\n   131→// Parameters:\n   132→//   - filter: Job filters to apply (cluster, user, time range, etc.)\n   133→//   - col: Column name to GROUP BY; empty string for overall statistics without grouping\n   134→//   - shortThreshold: Duration threshold in seconds for counting short-running jobs\n   135→//   - reqFields: Set of requested field names; nil means compute all fields\n   136→func (r *JobRepository) buildStatsQuery(\n   137→\tfilter []*model.JobFilter,\n   138→\tcol string,\n   139→\tshortThreshold int,\n   140→\treqFields map[string]bool,\n   141→) sq.SelectBuilder {\n   142→\tnow := time.Now().Unix()\n   143→\n   144→\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n   145→\tneed := func(field string) bool {\n   146→\t\treturn reqFields == nil || reqFields[field]\n   147→\t}\n   148→\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n   149→\n   150→\t// Build column list\n   151→\tcolumns := make([]string, 0, 14)\n   152→\n   153→\tif col != \"\" {\n   154→\t\tcolumns = append(columns, col)\n   155→\t}\n   156→\n   157→\tcolumns = append(columns, \"COUNT(*) as totalJobs\")\n   158→\n   159→\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n   160→\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n   161→\t} else {\n   162→\t\tcolumns = append(columns, \"0 AS totalUsers\")\n   163→\t}\n   164→\n   165→\tif need(\"totalWalltime\") {\n   166→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n   167→\t} else {\n   168→\t\tcolumns = append(columns, \"0 as totalWalltime\")\n   169→\t}\n   170→\n   171→\tif need(\"totalNodes\") {\n   172→\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n   173→\t} else {\n   174→\t\tcolumns = append(columns, \"0 as totalNodes\")\n   175→\t}\n   176→\n   177→\tif need(\"totalNodeHours\") {\n   178→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n   179→\t} else {\n   180→\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n   181→\t}\n   182→\n   183→\tif need(\"totalCores\") {\n   184→\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n   185→\t} else {\n   186→\t\tcolumns = append(columns, \"0 as totalCores\")\n   187→\t}\n   188→\n   189→\tif need(\"totalCoreHours\") {\n   190→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n   191→\t} else {\n   192→\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n   193→\t}\n   194→\n   195→\tif need(\"totalAccs\") {\n   196→\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n   197→\t} else {\n   198→\t\tcolumns = append(columns, \"0 as totalAccs\")\n   199→\t}\n   200→\n   201→\tif need(\"totalAccHours\") {\n   202→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n   203→\t} else {\n   204→\t\tcolumns = append(columns, \"0 as totalAccHours\")\n   205→\t}\n   206→\n   207→\tif need(\"runningJobs\") {\n   208→\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n   209→\t} else {\n   210→\t\tcolumns = append(columns, \"0 as runningJobs\")\n   211→\t}\n   212→\n   213→\tif need(\"shortJobs\") {\n   214→\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n   215→\t} else {\n   216→\t\tcolumns = append(columns, \"0 as shortJobs\")\n   217→\t}\n   218→\n   219→\tquery := sq.Select(columns...).From(\"job\")\n   220→\tif col != \"\" {\n   221→\t\tquery = query.GroupBy(col)\n   222→\t}\n   223→\n   224→\tfor _, f := range filter {\n   225→\t\tquery = BuildWhereClause(f, query)\n   226→\t}\n   227→\n   228→\treturn query\n   229→}\n   230→\n   231→// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n   232→// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n   233→// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\n   234→func (r *JobRepository) JobsStatsGrouped(\n   235→\tctx context.Context,\n   236→\tfilter []*model.JobFilter,\n   237→\tpage *model.PageRequest,\n   238→\tsortBy *model.SortByAggregate,\n   239→\tgroupBy *model.Aggregate,\n   240→\treqFields map[string]bool,\n   241→) ([]*model.JobsStatistics, error) {\n   242→\tcol := groupBy2column[*groupBy]\n   243→\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n   244→\n   245→\tquery, err := SecurityCheck(ctx, query)\n   246→\tif err != nil {\n   247→\t\treturn nil, err\n   248→\t}\n   249→\n   250→\tif sortBy != nil {\n   251→\t\tsortBy := sortBy2column[*sortBy]\n   252→\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n   253→\t}\n   254→\tif page != nil && page.ItemsPerPage != -1 {\n   255→\t\tlimit := uint64(page.ItemsPerPage)\n   256→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n   257→\t}\n   258→\n   259→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n   260→\tif err != nil {\n   261→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n   262→\t\treturn nil, err\n   263→\t}\n   264→\tdefer rows.Close()\n   265→\n   266→\tstats := make([]*model.JobsStatistics, 0, 100)\n   267→\n   268→\tfor rows.Next() {\n   269→\t\tvar id sql.NullString\n   270→\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n   271→\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n   272→\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n   273→\t\t\treturn nil, err\n   274→\t\t}\n   275→\n   276→\t\tif id.Valid {\n   277→\t\t\tstats = append(stats,\n   278→\t\t\t\t&model.JobsStatistics{\n   279→\t\t\t\t\tID:             id.String,\n   280→\t\t\t\t\tTotalJobs:      int(jobs.Int64),\n   281→\t\t\t\t\tTotalUsers:     int(users.Int64),\n   282→\t\t\t\t\tTotalWalltime:  int(walltime.Int64),\n   283→\t\t\t\t\tTotalNodes:     int(nodes.Int64),\n   284→\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n   285→\t\t\t\t\tTotalCores:     int(cores.Int64),\n   286→\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n   287→\t\t\t\t\tTotalAccs:      int(accs.Int64),\n   288→\t\t\t\t\tTotalAccHours:  int(accHours.Int64),\n   289→\t\t\t\t\tRunningJobs:    int(runningJobs.Int64),\n   290→\t\t\t\t\tShortJobs:      int(shortJobs.Int64),\n   291→\t\t\t\t})\n   292→\t\t}\n   293→\t}\n   294→\n   295→\tif err := rows.Err(); err != nil {\n   296→\t\treturn nil, err\n   297→\t}\n   298→\n   299→\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n   300→\tif col == \"job.hpc_user\" && len(stats) > 0 {\n   301→\t\tusernames := make([]any, len(stats))\n   302→\t\tfor i, s := range stats {\n   303→\t\t\tusernames[i] = s.ID\n   304→\t\t}\n   305→\n   306→\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n   307→\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n   308→\t\tif err != nil {\n   309→\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n   310→\t\t\t// Non-fatal: stats are still valid without display names\n   311→\t\t} else {\n   312→\t\t\tdefer nameRows.Close()\n   313→\t\t\tnameMap := make(map[string]string, len(stats))\n   314→\t\t\tfor nameRows.Next() {\n   315→\t\t\t\tvar username, name string\n   316→\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n   317→\t\t\t\t\tnameMap[username] = name\n   318→\t\t\t\t}\n   319→\t\t\t}\n   320→\t\t\tfor _, s := range stats {\n   321→\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n   322→\t\t\t\t\ts.Name = name\n   323→\t\t\t\t}\n   324→\t\t\t}\n   325→\t\t}\n   326→\t}\n   327→\n   328→\treturn stats, nil\n   329→}\n   330→\n   331→// JobsStats computes overall job statistics across all matching jobs without grouping.\n   332→//\n   333→// This method provides a single aggregate view of job metrics, useful for dashboard\n   334→// summaries and overall system utilization reports.\n   335→//\n   336→// Parameters:\n   337→//   - ctx: Context for security checks and cancellation\n   338→//   - filter: Filters to apply (time range, cluster, job state, etc.)\n   339→//\n   340→// Returns a single-element slice containing aggregate statistics:\n   341→//   - totalJobs, totalUsers, totalWalltime\n   342→//   - totalNodeHours, totalCoreHours, totalAccHours\n   343→//\n   344→// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n   345→// Security checks are applied via SecurityCheck to respect user access levels.\n   346→func (r *JobRepository) JobsStats(\n   347→\tctx context.Context,\n   348→\tfilter []*model.JobFilter,\n   349→\treqFields map[string]bool,\n   350→) ([]*model.JobsStatistics, error) {\n   351→\tstart := time.Now()\n   352→\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n   353→\tquery, err := SecurityCheck(ctx, query)\n   354→\tif err != nil {\n   355→\t\treturn nil, err\n   356→\t}\n   357→\n   358→\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n   359→\tstats := make([]*model.JobsStatistics, 0, 1)\n   360→\n   361→\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n   362→\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n   363→\t\tcclog.Warn(\"Error while scanning rows\")\n   364→\t\treturn nil, err\n   365→\t}\n   366→\n   367→\tif jobs.Valid {\n   368→\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n   369→\n   370→\t\tif nodeHours.Valid {\n   371→\t\t\ttotalNodeHours = int(nodeHours.Int64)\n   372→\t\t}\n   373→\t\tif coreHours.Valid {\n   374→\t\t\ttotalCoreHours = int(coreHours.Int64)\n   375→\t\t}\n   376→\t\tif accHours.Valid {\n   377→\t\t\ttotalAccHours = int(accHours.Int64)\n   378→\t\t}\n   379→\t\tstats = append(stats,\n   380→\t\t\t&model.JobsStatistics{\n   381→\t\t\t\tTotalJobs:      int(jobs.Int64),\n   382→\t\t\t\tTotalUsers:     int(users.Int64),\n   383→\t\t\t\tTotalWalltime:  int(walltime.Int64),\n   384→\t\t\t\tTotalNodeHours: totalNodeHours,\n   385→\t\t\t\tTotalCoreHours: totalCoreHours,\n   386→\t\t\t\tTotalAccHours:  totalAccHours,\n   387→\t\t\t\tRunningJobs:    int(runningJobs.Int64),\n   388→\t\t\t\tShortJobs:      int(shortJobs.Int64),\n   389→\t\t\t})\n   390→\t}\n   391→\n   392→\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n   393→\treturn stats, nil\n   394→}\n   395→\n   396→// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n   397→// Returns 0.0 if the metric is not found or statType is invalid.\n   398→//\n   399→// Parameters:\n   400→//   - job: Job struct with populated Statistics field\n   401→//   - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n   402→//   - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n   403→//\n   404→// Returns the requested statistic value or 0.0 if not found.\n   405→func LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n   406→\tif stats, ok := job.Statistics[metric]; ok {\n   407→\t\tswitch statType {\n   408→\t\tcase \"avg\":\n   409→\t\t\treturn stats.Avg\n   410→\t\tcase \"max\":\n   411→\t\t\treturn stats.Max\n   412→\t\tcase \"min\":\n   413→\t\t\treturn stats.Min\n   414→\t\tdefault:\n   415→\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n   416→\t\t}\n   417→\t}\n   418→\n   419→\treturn 0.0\n   420→}\n   421→\n   422→// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n   423→//\n   424→// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n   425→// avoiding the overhead of calculating walltime and resource usage metrics.\n   426→//\n   427→// Parameters:\n   428→//   - ctx: Context for security checks\n   429→//   - filter: Filters to apply\n   430→//   - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n   431→//\n   432→// Returns JobsStatistics with only ID and TotalJobs populated for each group.\n   433→func (r *JobRepository) JobCountGrouped(\n   434→\tctx context.Context,\n   435→\tfilter []*model.JobFilter,\n   436→\tgroupBy *model.Aggregate,\n   437→) ([]*model.JobsStatistics, error) {\n   438→\tstart := time.Now()\n   439→\tcol := groupBy2column[*groupBy]\n   440→\tquery := r.buildCountQuery(filter, \"\", col)\n   441→\tquery, err := SecurityCheck(ctx, query)\n   442→\tif err != nil {\n   443→\t\treturn nil, err\n   444→\t}\n   445→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n   446→\tif err != nil {\n   447→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n   448→\t\treturn nil, err\n   449→\t}\n   450→\tdefer rows.Close()\n   451→\n   452→\tstats := make([]*model.JobsStatistics, 0, 100)\n   453→\n   454→\tfor rows.Next() {\n   455→\t\tvar id sql.NullString\n   456→\t\tvar cnt sql.NullInt64\n   457→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n   458→\t\t\tcclog.Warn(\"Error while scanning rows\")\n   459→\t\t\treturn nil, err\n   460→\t\t}\n   461→\t\tif id.Valid {\n   462→\t\t\tstats = append(stats,\n   463→\t\t\t\t&model.JobsStatistics{\n   464→\t\t\t\t\tID:        id.String,\n   465→\t\t\t\t\tTotalJobs: int(cnt.Int64),\n   466→\t\t\t\t})\n   467→\t\t}\n   468→\t}\n   469→\n   470→\tif err := rows.Err(); err != nil {\n   471→\t\treturn nil, err\n   472→\t}\n   473→\n   474→\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n   475→\treturn stats, nil\n   476→}\n   477→\n   478→// AddJobCountGrouped augments existing statistics with additional job counts by category.\n   479→//\n   480→// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n   481→// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n   482→//\n   483→// Parameters:\n   484→//   - ctx: Context for security checks\n   485→//   - filter: Filters to apply\n   486→//   - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n   487→//   - stats: Existing statistics to augment (modified in-place by ID matching)\n   488→//   - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n   489→//\n   490→// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n   491→// Groups without matching jobs will have 0 for the added field.\n   492→func (r *JobRepository) AddJobCountGrouped(\n   493→\tctx context.Context,\n   494→\tfilter []*model.JobFilter,\n   495→\tgroupBy *model.Aggregate,\n   496→\tstats []*model.JobsStatistics,\n   497→\tkind string,\n   498→) ([]*model.JobsStatistics, error) {\n   499→\tstart := time.Now()\n   500→\tcol := groupBy2column[*groupBy]\n   501→\tquery := r.buildCountQuery(filter, kind, col)\n   502→\tquery, err := SecurityCheck(ctx, query)\n   503→\tif err != nil {\n   504→\t\treturn nil, err\n   505→\t}\n   506→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n   507→\tif err != nil {\n   508→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n   509→\t\treturn nil, err\n   510→\t}\n   511→\tdefer rows.Close()\n   512→\n   513→\tcounts := make(map[string]int)\n   514→\n   515→\tfor rows.Next() {\n   516→\t\tvar id sql.NullString\n   517→\t\tvar cnt sql.NullInt64\n   518→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n   519→\t\t\tcclog.Warn(\"Error while scanning rows\")\n   520→\t\t\treturn nil, err\n   521→\t\t}\n   522→\t\tif id.Valid {\n   523→\t\t\tcounts[id.String] = int(cnt.Int64)\n   524→\t\t}\n   525→\t}\n   526→\n   527→\tif err := rows.Err(); err != nil {\n   528→\t\treturn nil, err\n   529→\t}\n   530→\n   531→\tswitch kind {\n   532→\tcase \"running\":\n   533→\t\tfor _, s := range stats {\n   534→\t\t\ts.RunningJobs = counts[s.ID]\n   535→\t\t}\n   536→\tcase \"short\":\n   537→\t\tfor _, s := range stats {\n   538→\t\t\ts.ShortJobs = counts[s.ID]\n   539→\t\t}\n   540→\t}\n   541→\n   542→\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n   543→\treturn stats, nil\n   544→}\n   545→\n   546→// AddJobCount augments existing overall statistics with additional job counts by category.\n   547→//\n   548→// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n   549→// to all statistics entries (typically just one).\n   550→//\n   551→// Parameters:\n   552→//   - ctx: Context for security checks\n   553→//   - filter: Filters to apply\n   554→//   - stats: Existing statistics to augment (modified in-place)\n   555→//   - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n   556→//\n   557→// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\n   558→func (r *JobRepository) AddJobCount(\n   559→\tctx context.Context,\n   560→\tfilter []*model.JobFilter,\n   561→\tstats []*model.JobsStatistics,\n   562→\tkind string,\n   563→) ([]*model.JobsStatistics, error) {\n   564→\tstart := time.Now()\n   565→\tquery := r.buildCountQuery(filter, kind, \"\")\n   566→\tquery, err := SecurityCheck(ctx, query)\n   567→\tif err != nil {\n   568→\t\treturn nil, err\n   569→\t}\n   570→\tvar cnt sql.NullInt64\n   571→\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n   572→\t\tcclog.Warn(\"Error while querying DB for job count\")\n   573→\t\treturn nil, err\n   574→\t}\n   575→\n   576→\tcount := int(cnt.Int64)\n   577→\n   578→\tswitch kind {\n   579→\tcase \"running\":\n   580→\t\tfor _, s := range stats {\n   581→\t\t\ts.RunningJobs = count\n   582→\t\t}\n   583→\tcase \"short\":\n   584→\t\tfor _, s := range stats {\n   585→\t\t\ts.ShortJobs = count\n   586→\t\t}\n   587→\t}\n   588→\n   589→\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n   590→\treturn stats, nil\n   591→}\n   592→\n   593→// AddHistograms augments statistics with distribution histograms for job properties.\n   594→//\n   595→// Generates histogram data for visualization of job duration, node count, core count,\n   596→// and accelerator count distributions. Duration histogram uses intelligent binning based\n   597→// on the requested resolution.\n   598→//\n   599→// Parameters:\n   600→//   - ctx: Context for security checks\n   601→//   - filter: Filters to apply to jobs included in histograms\n   602→//   - stat: Statistics struct to augment (modified in-place)\n   603→//   - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n   604→//\n   605→// Populates these fields in stat:\n   606→//   - HistDuration: Job duration distribution (zero-padded bins)\n   607→//   - HistNumNodes: Node count distribution\n   608→//   - HistNumCores: Core (hwthread) count distribution\n   609→//   - HistNumAccs: Accelerator count distribution\n   610→//\n   611→// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n   612→// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\n   613→func (r *JobRepository) AddHistograms(\n   614→\tctx context.Context,\n   615→\tfilter []*model.JobFilter,\n   616→\tstat *model.JobsStatistics,\n   617→\tdurationBins *string,\n   618→) (*model.JobsStatistics, error) {\n   619→\tstart := time.Now()\n   620→\n   621→\tvar targetBinCount int\n   622→\tvar targetBinSize int\n   623→\tswitch *durationBins {\n   624→\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n   625→\t\ttargetBinCount = 60\n   626→\t\ttargetBinSize = 60\n   627→\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n   628→\t\ttargetBinCount = 72\n   629→\t\ttargetBinSize = 600\n   630→\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n   631→\t\ttargetBinCount = 48\n   632→\t\ttargetBinSize = 3600\n   633→\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n   634→\t\ttargetBinCount = 12\n   635→\t\ttargetBinSize = 21600\n   636→\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n   637→\t\ttargetBinCount = 14\n   638→\t\ttargetBinSize = 43200\n   639→\tdefault: // 24h\n   640→\t\ttargetBinCount = 24\n   641→\t\ttargetBinSize = 3600\n   642→\t}\n   643→\n   644→\t// Run all 4 histogram queries in parallel — each writes a distinct struct field.\n   645→\tg, gctx := errgroup.WithContext(ctx)\n   646→\n   647→\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n   648→\n   649→\tg.Go(func() error {\n   650→\t\tvar err error\n   651→\t\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(gctx, value, filter, targetBinSize, &targetBinCount)\n   652→\t\tif err != nil {\n   653→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n   654→\t\t}\n   655→\t\treturn err\n   656→\t})\n   657→\tg.Go(func() error {\n   658→\t\tvar err error\n   659→\t\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(gctx, \"job.num_nodes as value\", filter)\n   660→\t\tif err != nil {\n   661→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n   662→\t\t}\n   663→\t\treturn err\n   664→\t})\n   665→\tg.Go(func() error {\n   666→\t\tvar err error\n   667→\t\tstat.HistNumCores, err = r.jobsStatisticsHistogram(gctx, \"job.num_hwthreads as value\", filter)\n   668→\t\tif err != nil {\n   669→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n   670→\t\t}\n   671→\t\treturn err\n   672→\t})\n   673→\tg.Go(func() error {\n   674→\t\tvar err error\n   675→\t\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(gctx, \"job.num_acc as value\", filter)\n   676→\t\tif err != nil {\n   677→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n   678→\t\t}\n   679→\t\treturn err\n   680→\t})\n   681→\n   682→\tif err := g.Wait(); err != nil {\n   683→\t\treturn nil, err\n   684→\t}\n   685→\n   686→\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n   687→\treturn stat, nil\n   688→}\n   689→\n   690→// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n   691→//\n   692→// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n   693→// and completed jobs differently: running jobs load data from metric backend, completed jobs\n   694→// use footprint data from database.\n   695→//\n   696→// Parameters:\n   697→//   - ctx: Context for security checks\n   698→//   - filter: Filters to apply (MUST contain State filter for running jobs)\n   699→//   - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n   700→//   - stat: Statistics struct to augment (modified in-place)\n   701→//   - targetBinCount: Number of histogram bins (default: 10)\n   702→//\n   703→// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n   704→//\n   705→// Binning algorithm:\n   706→//   - Values normalized to metric's peak value from cluster configuration\n   707→//   - Bins evenly distributed from 0 to peak\n   708→//   - Pre-initialized with zeros for consistent visualization\n   709→//\n   710→// Limitations:\n   711→//   - Running jobs: Limited to 5000 jobs for performance\n   712→//   - Requires valid cluster configuration with metric peak values\n   713→//   - Uses footprint statistic (avg/max/min) configured per metric\n   714→func (r *JobRepository) AddMetricHistograms(\n   715→\tctx context.Context,\n   716→\tfilter []*model.JobFilter,\n   717→\tmetrics []string,\n   718→\tstat *model.JobsStatistics,\n   719→\ttargetBinCount *int,\n   720→) (*model.JobsStatistics, error) {\n   721→\tstart := time.Now()\n   722→\n   723→\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n   724→\tfor _, f := range filter {\n   725→\t\tif f.State != nil {\n   726→\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n   727→\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n   728→\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n   729→\t\t\t\treturn stat, nil\n   730→\t\t\t}\n   731→\t\t}\n   732→\t}\n   733→\n   734→\t// All other cases: Query and make bins in sqlite directly\n   735→\tfor _, m := range metrics {\n   736→\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n   737→\t\tif err != nil {\n   738→\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n   739→\t\t\tcontinue\n   740→\t\t}\n   741→\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n   742→\t}\n   743→\n   744→\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n   745→\treturn stat, nil\n   746→}\n   747→\n   748→// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n   749→//\n   750→// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n   751→// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n   752→//\n   753→// Parameters:\n   754→//   - value: SQL expression that produces the histogram value, aliased as \"value\"\n   755→//   - filters: Job filters to apply\n   756→//\n   757→// Returns histogram points with Value (from column) and Count (number of jobs).\n   758→func (r *JobRepository) jobsStatisticsHistogram(\n   759→\tctx context.Context,\n   760→\tvalue string,\n   761→\tfilters []*model.JobFilter,\n   762→) ([]*model.HistoPoint, error) {\n   763→\tstart := time.Now()\n   764→\tquery, qerr := SecurityCheck(ctx,\n   765→\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n   766→\n   767→\tif qerr != nil {\n   768→\t\treturn nil, qerr\n   769→\t}\n   770→\n   771→\tfor _, f := range filters {\n   772→\t\tquery = BuildWhereClause(f, query)\n   773→\t}\n   774→\n   775→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n   776→\tif err != nil {\n   777→\t\tcclog.Error(\"Error while running query\")\n   778→\t\treturn nil, err\n   779→\t}\n   780→\tdefer rows.Close()\n   781→\n   782→\tpoints := make([]*model.HistoPoint, 0)\n   783→\t// is it possible to introduce zero values here? requires info about bincount\n   784→\tfor rows.Next() {\n   785→\t\tpoint := model.HistoPoint{}\n   786→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n   787→\t\t\tcclog.Warn(\"Error while scanning rows\")\n   788→\t\t\treturn nil, err\n   789→\t\t}\n   790→\n   791→\t\tpoints = append(points, &point)\n   792→\t}\n   793→\n   794→\tif err := rows.Err(); err != nil {\n   795→\t\treturn nil, err\n   796→\t}\n   797→\n   798→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n   799→\treturn points, nil\n   800→}\n   801→\n   802→// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n   803→//\n   804→// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n   805→// histograms which only return bins with data. The value parameter should compute\n   806→// the bin number from job duration.\n   807→//\n   808→// Parameters:\n   809→//   - value: SQL expression computing bin number from duration, aliased as \"value\"\n   810→//   - filters: Job filters to apply\n   811→//   - binSizeSeconds: Width of each bin in seconds\n   812→//   - targetBinCount: Number of bins to pre-initialize\n   813→//\n   814→// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n   815→// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n   816→//\n   817→// Algorithm:\n   818→//  1. Pre-initialize targetBinCount bins with zero counts\n   819→//  2. Query database for actual counts per bin\n   820→//  3. Match query results to pre-initialized bins by value\n   821→//  4. Bins without matches remain at zero\n   822→func (r *JobRepository) jobsDurationStatisticsHistogram(\n   823→\tctx context.Context,\n   824→\tvalue string,\n   825→\tfilters []*model.JobFilter,\n   826→\tbinSizeSeconds int,\n   827→\ttargetBinCount *int,\n   828→) ([]*model.HistoPoint, error) {\n   829→\tstart := time.Now()\n   830→\tquery, qerr := SecurityCheck(ctx,\n   831→\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n   832→\n   833→\tif qerr != nil {\n   834→\t\treturn nil, qerr\n   835→\t}\n   836→\n   837→\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n   838→\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n   839→\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n   840→\tfor i := 1; i <= *targetBinCount; i++ {\n   841→\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n   842→\t\tpoints = append(points, &point)\n   843→\t}\n   844→\n   845→\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n   846→\tbinMap := make(map[int]int, len(points))\n   847→\tfor i, p := range points {\n   848→\t\tbinMap[p.Value] = i\n   849→\t}\n   850→\n   851→\tfor _, f := range filters {\n   852→\t\tquery = BuildWhereClause(f, query)\n   853→\t}\n   854→\n   855→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n   856→\tif err != nil {\n   857→\t\tcclog.Error(\"Error while running query\")\n   858→\t\treturn nil, err\n   859→\t}\n   860→\tdefer rows.Close()\n   861→\n   862→\t// Match query results to pre-initialized bins using map lookup.\n   863→\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n   864→\tfor rows.Next() {\n   865→\t\tpoint := model.HistoPoint{}\n   866→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n   867→\t\t\tcclog.Warn(\"Error while scanning rows\")\n   868→\t\t\treturn nil, err\n   869→\t\t}\n   870→\n   871→\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n   872→\t\t\tpoints[idx].Count = point.Count\n   873→\t\t}\n   874→\t}\n   875→\n   876→\tif err := rows.Err(); err != nil {\n   877→\t\treturn nil, err\n   878→\t}\n   879→\n   880→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n   881→\treturn points, nil\n   882→}\n   883→\n   884→// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n   885→//\n   886→// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n   887→// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n   888→// and computing bin assignments in SQL.\n   889→//\n   890→// Parameters:\n   891→//   - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n   892→//   - filters: Job filters to apply\n   893→//   - bins: Number of bins to generate\n   894→//\n   895→// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n   896→//\n   897→// Algorithm:\n   898→//  1. Determine peak value from cluster configuration (filtered cluster or max across all)\n   899→//  2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n   900→//  3. Pre-initialize bins with min/max ranges based on peak value\n   901→//  4. Query database for counts per bin\n   902→//  5. Match results to pre-initialized bins\n   903→//\n   904→// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n   905→// peak by 0.999999999 to avoid creating an extra bin.\n   906→func (r *JobRepository) jobsMetricStatisticsHistogram(\n   907→\tctx context.Context,\n   908→\tmetric string,\n   909→\tfilters []*model.JobFilter,\n   910→\tbins *int,\n   911→) (*model.MetricHistoPoints, error) {\n   912→\t// Peak value defines the upper bound for binning: values are distributed across\n   913→\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n   914→\t// scan all clusters to find the maximum peak value.\n   915→\tvar metricConfig *schema.MetricConfig\n   916→\tvar peak float64\n   917→\tvar unit string\n   918→\tvar footprintStat string\n   919→\n   920→\t// Try to get metric config from filtered cluster\n   921→\tfor _, f := range filters {\n   922→\t\tif f.Cluster != nil {\n   923→\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n   924→\t\t\tpeak = metricConfig.Peak\n   925→\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n   926→\t\t\tfootprintStat = metricConfig.Footprint\n   927→\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n   928→\t\t}\n   929→\t}\n   930→\n   931→\t// If no cluster filter or peak not found, find largest peak across all clusters\n   932→\t// This ensures histogram can accommodate all possible values\n   933→\tif peak == 0.0 {\n   934→\t\tfor _, c := range archive.Clusters {\n   935→\t\t\tfor _, m := range c.MetricConfig {\n   936→\t\t\t\tif m.Name == metric {\n   937→\t\t\t\t\tif m.Peak > peak {\n   938→\t\t\t\t\t\tpeak = m.Peak\n   939→\t\t\t\t\t}\n   940→\t\t\t\t\tif unit == \"\" {\n   941→\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n   942→\t\t\t\t\t}\n   943→\t\t\t\t\tif footprintStat == \"\" {\n   944→\t\t\t\t\t\tfootprintStat = m.Footprint\n   945→\t\t\t\t\t}\n   946→\t\t\t\t}\n   947→\t\t\t}\n   948→\t\t}\n   949→\t}\n   950→\n   951→\t// Construct SQL histogram bins using normalized values.\n   952→\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n   953→\tstart := time.Now()\n   954→\n   955→\t// Bin calculation formula:\n   956→\t//   bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n   957→\t// Special case: value == peak would create bin N+1, so we test for equality\n   958→\t// and multiply peak by 0.999999999 to force it into bin N.\n   959→\tbinQuery := fmt.Sprintf(`CAST(\n   960→\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n   961→\t\t* %v as INTEGER )`,\n   962→\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n   963→\n   964→\tmainQuery := sq.Select(\n   965→\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n   966→\t\t`count(*) as count`,\n   967→\t).From(\"job\").Where(\n   968→\t\t\"JSON_VALID(footprint)\",\n   969→\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n   970→\n   971→\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n   972→\tif qerr != nil {\n   973→\t\treturn nil, qerr\n   974→\t}\n   975→\n   976→\tfor _, f := range filters {\n   977→\t\tmainQuery = BuildWhereClause(f, mainQuery)\n   978→\t}\n   979→\n   980→\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n   981→\n   982→\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n   983→\tif err != nil {\n   984→\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n   985→\t\treturn nil, err\n   986→\t}\n   987→\tdefer rows.Close()\n   988→\n   989→\t// Pre-initialize bins with calculated min/max ranges.\n   990→\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n   991→\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n   992→\tbinStep := int(peak) / *bins\n   993→\tfor i := 1; i <= *bins; i++ {\n   994→\t\tbinMin := (binStep * (i - 1))\n   995→\t\tbinMax := (binStep * i)\n   996→\t\tidx := i\n   997→\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n   998→\t\tpoints = append(points, &epoint)\n   999→\t}\n  1000→\n  1001→\t// Build a map from bin number to slice index for O(1) lookup.\n  1002→\tbinMap := make(map[int]int, len(points))\n  1003→\tfor i, p := range points {\n  1004→\t\tif p.Bin != nil {\n  1005→\t\t\tbinMap[*p.Bin] = i\n  1006→\t\t}\n  1007→\t}\n  1008→\n  1009→\t// Match query results to pre-initialized bins using map lookup.\n  1010→\tfor rows.Next() {\n  1011→\t\trpoint := model.MetricHistoPoint{}\n  1012→\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n  1013→\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n  1014→\t\t\treturn nil, err\n  1015→\t\t}\n  1016→\n  1017→\t\tif rpoint.Bin != nil {\n  1018→\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n  1019→\t\t\t\tpoints[idx].Count = rpoint.Count\n  1020→\t\t\t}\n  1021→\t\t}\n  1022→\t}\n  1023→\n  1024→\tif err := rows.Err(); err != nil {\n  1025→\t\treturn nil, err\n  1026→\t}\n  1027→\n  1028→\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n  1029→\n  1030→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n  1031→\treturn &result, nil\n  1032→}\n  1033→\n  1034→// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n  1035→//\n  1036→// Unlike completed jobs which use footprint data from the database, running jobs require\n  1037→// fetching current metric averages from the metric backend (via metricdispatch).\n  1038→//\n  1039→// Parameters:\n  1040→//   - metrics: List of metric names\n  1041→//   - filters: Job filters (should filter to running jobs only)\n  1042→//   - bins: Number of histogram bins\n  1043→//\n  1044→// Returns slice of MetricHistoPoints, one per metric.\n  1045→//\n  1046→// Limitations:\n  1047→//   - Maximum 5000 jobs (returns nil if more jobs match)\n  1048→//   - Requires metric backend availability\n  1049→//   - Bins based on metric peak values from cluster configuration\n  1050→//\n  1051→// Algorithm:\n  1052→//  1. Query first 5001 jobs to check count limit\n  1053→//  2. Load metric averages for all jobs via metricdispatch\n  1054→//  3. For each metric, create bins based on peak value\n  1055→//  4. Iterate averages and count jobs per bin\n  1056→func (r *JobRepository) runningJobsMetricStatisticsHistogram(\n  1057→\tctx context.Context,\n  1058→\tmetrics []string,\n  1059→\tfilters []*model.JobFilter,\n  1060→\tbins *int,\n  1061→) []*model.MetricHistoPoints {\n  1062→\t// Get Jobs\n  1063→\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n  1064→\tif err != nil {\n  1065→\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n  1066→\t\treturn nil\n  1067→\t}\n  1068→\tif len(jobs) > 5000 {\n  1069→\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n  1070→\t\treturn nil\n  1071→\t}\n  1072→\n  1073→\t// Get AVGs from metric repo\n  1074→\tavgs := make([][]schema.Float, len(metrics))\n  1075→\tfor i := range avgs {\n  1076→\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n  1077→\t}\n  1078→\n  1079→\tfor _, job := range jobs {\n  1080→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n  1081→\t\t\tcontinue\n  1082→\t\t}\n  1083→\n  1084→\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n  1085→\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n  1086→\t\t\treturn nil\n  1087→\t\t}\n  1088→\t}\n  1089→\n  1090→\t// Iterate metrics to fill endresult\n  1091→\tdata := make([]*model.MetricHistoPoints, 0)\n  1092→\tfor idx, metric := range metrics {\n  1093→\t\t// Get specific Peak or largest Peak\n  1094→\t\tvar metricConfig *schema.MetricConfig\n  1095→\t\tvar peak float64\n  1096→\t\tvar unit string\n  1097→\n  1098→\t\tfor _, f := range filters {\n  1099→\t\t\tif f.Cluster != nil {\n  1100→\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n  1101→\t\t\t\tpeak = metricConfig.Peak\n  1102→\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n  1103→\t\t\t}\n  1104→\t\t}\n  1105→\n  1106→\t\tif peak == 0.0 {\n  1107→\t\t\tfor _, c := range archive.Clusters {\n  1108→\t\t\t\tfor _, m := range c.MetricConfig {\n  1109→\t\t\t\t\tif m.Name == metric {\n  1110→\t\t\t\t\t\tif m.Peak > peak {\n  1111→\t\t\t\t\t\t\tpeak = m.Peak\n  1112→\t\t\t\t\t\t}\n  1113→\t\t\t\t\t\tif unit == \"\" {\n  1114→\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n  1115→\t\t\t\t\t\t}\n  1116→\t\t\t\t\t}\n  1117→\t\t\t\t}\n  1118→\t\t\t}\n  1119→\t\t}\n  1120→\n  1121→\t\t// Make and fill bins\n  1122→\t\tpeakBin := int(peak) / *bins\n  1123→\n  1124→\t\tpoints := make([]*model.MetricHistoPoint, 0)\n  1125→\t\tfor b := 0; b < *bins; b++ {\n  1126→\t\t\tcount := 0\n  1127→\t\t\tbindex := b + 1\n  1128→\t\t\tbmin := peakBin * b\n  1129→\t\t\tbmax := peakBin * (b + 1)\n  1130→\n  1131→\t\t\t// Iterate AVG values for indexed metric and count for bins\n  1132→\t\t\tfor _, val := range avgs[idx] {\n  1133→\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n  1134→\t\t\t\t\tcount += 1\n  1135→\t\t\t\t}\n  1136→\t\t\t}\n  1137→\n  1138→\t\t\t// Append Bin to Metric Result Array\n  1139→\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n  1140→\t\t\tpoints = append(points, &point)\n  1141→\t\t}\n  1142→\n  1143→\t\t// Append Metric Result Array to final results array\n  1144→\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n  1145→\t\tdata = append(data, &result)\n  1146→\t}\n  1147→\n  1148→\treturn data\n  1149→}\n  1150→"}]},"uuid":"f9ec8bb1-eb87-4b8e-ba63-6c7359f1ebaf","timestamp":"2026-03-16T10:19:09.512Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"3d727ce9-207b-48f2-939d-485b96ffc617","timestamp":"2026-03-16T10:19:09.655Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"3d727ce9-207b-48f2-939d-485b96ffc617","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BDMqedPDw7gCBUtiqc5Kwq","type":"tool_result","content":"   383→func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n   384→\tms := GetMemoryStore()\n   385→\n   386→\twg.Go(func() {\n   387→\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n   388→\t\tfastInterval := 30 * time.Second\n   389→\n   390→\t\tif normalInterval <= 0 {\n   391→\t\t\treturn\n   392→\t\t}\n   393→\n   394→\t\tticker := time.NewTicker(normalInterval)\n   395→\t\tdefer ticker.Stop()\n   396→\t\tcurrentInterval := normalInterval\n   397→\n   398→\t\tfor {\n   399→\t\t\tselect {\n   400→\t\t\tcase <-ctx.Done():\n   401→\t\t\t\treturn\n   402→\t\t\tcase <-ticker.C:\n   403→\t\t\t\tvar mem runtime.MemStats\n   404→\t\t\t\truntime.ReadMemStats(&mem)\n   405→\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n   406→\t\t\t\tmetricDataGB := ms.SizeInGB()\n   407→\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n   408→\n   409→\t\t\t\tfreedExcluded := 0\n   410→\t\t\t\tfreedEmergency := 0\n   411→\t\t\t\tvar err error\n   412→\n   413→\t\t\t\tstate.mu.RLock()\n   414→\t\t\t\tlastRetention := state.lastRetentionTime\n   415→\t\t\t\tselectorsExcluded := state.selectorsExcluded\n   416→\t\t\t\tstate.mu.RUnlock()\n   417→\n   418→\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n   419→\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n   420→\t\t\t\t\tif err != nil {\n   421→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n   422→\t\t\t\t\t}\n   423→\n   424→\t\t\t\t\tif freedExcluded > 0 {\n   425→\t\t\t\t\t\tdebug.FreeOSMemory()\n   426→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n   427→\t\t\t\t\t}\n   428→\t\t\t\t}\n   429→\n   430→\t\t\t\truntime.ReadMemStats(&mem)\n   431→\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n   432→"}]},"uuid":"8afd56f5-3c74-4d80-b2d8-b38add00c409","timestamp":"2026-03-16T10:19:09.634Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"64c07368-b716-4c0d-b135-89a1e98c44fe","timestamp":"2026-03-16T10:19:09.824Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"b53bdf0a-84a1-4d2c-be34-da2fd2a75015","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Wke3q6AQfNPJfDb6aXQays","type":"tool_result","content":"   118→func WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n   119→\twg.Go(func() {\n   120→\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n   121→\t\t\treturn\n   122→\t\t}\n   123→\n   124→\t\thostFiles := make(map[string]*walFileState)\n   125→\n   126→\t\tdefer func() {\n   127→\t\t\tfor _, ws := range hostFiles {\n   128→\t\t\t\tif ws.f != nil {\n   129→\t\t\t\t\tws.w.Flush()\n   130→\t\t\t\t\tws.f.Close()\n   131→\t\t\t\t}\n   132→\t\t\t}\n   133→\t\t}()\n   134→\n   135→\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n   136→\t\t\tws, ok := hostFiles[hostDir]\n   137→\t\t\tif ok {\n   138→\t\t\t\treturn ws\n   139→\t\t\t}\n   140→\n   141→\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n   142→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n   143→\t\t\t\treturn nil\n   144→\t\t\t}\n   145→\n   146→\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n   147→\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n   148→\t\t\tif err != nil {\n   149→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n   150→\t\t\t\treturn nil\n   151→\t\t\t}\n   152→\n   153→\t\t\tw := bufio.NewWriter(f)\n   154→\n   155→\t\t\t// Write file header magic if file is new (empty).\n   156→\t\t\tinfo, err := f.Stat()\n   157→\t\t\tif err == nil && info.Size() == 0 {\n   158→\t\t\t\tvar hdr [4]byte\n   159→\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n   160→\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n   161→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n   162→\t\t\t\t\tf.Close()\n   163→\t\t\t\t\treturn nil\n   164→\t\t\t\t}\n   165→\t\t\t}\n   166→\n   167→\t\t\tws = &walFileState{f: f, w: w}\n   168→\t\t\thostFiles[hostDir] = ws\n   169→\t\t\treturn ws\n   170→\t\t}\n   171→\n   172→\t\tprocessMsg := func(msg *WALMessage) {\n   173→\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n   174→\t\t\tws := getOrOpenWAL(hostDir)\n   175→\t\t\tif ws == nil {\n   176→\t\t\t\treturn\n   177→\t\t\t}\n   178→\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n   179→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n   180→\t\t\t}\n   181→\t\t}\n   182→\n   183→\t\tprocessRotate := func(req walRotateReq) {\n   184→\t\t\tws, ok := hostFiles[req.hostDir]\n   185→\t\t\tif ok && ws.f != nil {\n   186→\t\t\t\tws.w.Flush()\n   187→\t\t\t\tws.f.Close()\n   188→\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n   189→\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n   190→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n   191→\t\t\t\t}\n   192→\t\t\t\tdelete(hostFiles, req.hostDir)\n   193→\t\t\t}\n   194→\t\t\tclose(req.done)\n   195→\t\t}\n   196→\n   197→\t\tdrain := func() {\n   198→\t\t\tfor {\n   199→\t\t\t\tselect {\n   200→\t\t\t\tcase msg, ok := <-WALMessages:\n   201→\t\t\t\t\tif !ok {\n   202→\t\t\t\t\t\treturn\n   203→\t\t\t\t\t}\n   204→\t\t\t\t\tprocessMsg(msg)\n   205→\t\t\t\tcase req := <-walRotateCh:\n   206→\t\t\t\t\tprocessRotate(req)\n   207→\t\t\t\tdefault:\n   208→\t\t\t\t\t// Flush all buffered writers after draining remaining messages.\n   209→\t\t\t\t\tfor _, ws := range hostFiles {\n   210→\t\t\t\t\t\tif ws.f != nil {\n   211→\t\t\t\t\t\t\tws.w.Flush()\n   212→\t\t\t\t\t\t}\n   213→\t\t\t\t\t}\n   214→\t\t\t\t\treturn\n   215→\t\t\t\t}\n   216→\t\t\t}\n   217→\t\t}"}]},"uuid":"bad871d2-53e5-4b7c-857d-5ca2862605c0","timestamp":"2026-03-16T10:19:09.850Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"c836fbc7-23f4-4259-aa17-5bbd308c7417","timestamp":"2026-03-16T10:19:09.858Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"42853b46-0307-4026-b9c3-cba832d977e0","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EeAXSEun1yp9HgsSEHSEkD","type":"tool_result","content":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-124-\ninternal/archiver/archiveWorker.go-125-\t\t\tstart := time.Now()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-126-\t\t\t// not using meta data, called to load JobMeta into Cache?\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-127-\t\t\t// will fail if job meta not in repository\ninternal/archiver/archiveWorker.go-128-\t\t\tif _, err := jobRepo.FetchMetadata(job); err != nil {\ninternal/archiver/archiveWorker.go-129-\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at check metadata step: %s\", *job.ID, err.Error())\ninternal/archiver/archiveWorker.go:130:\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-131-\t\t\t\tarchivePending.Done()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-132-\t\t\t\tcontinue\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-133-\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-134-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-135-\t\t\t// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-136-\t\t\t// Use shutdown context to allow cancellation\ninternal/archiver/archiveWorker.go-137-\t\t\tjobMeta, err := ArchiveJob(job, shutdownCtx)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-138-\t\t\tif err != nil {\ninternal/archiver/archiveWorker.go-139-\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at archiving job step: %s\", *job.ID, err.Error())\ninternal/archiver/archiveWorker.go:140:\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-141-\t\t\t\tarchivePending.Done()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-142-\t\t\t\tcontinue\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-143-\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-144-\ninternal/archiver/archiveWorker.go-145-\t\t\tstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-146-\ninternal/archiver/archiveWorker.go:147:\t\t\tif stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {\ninternal/archiver/archiveWorker.go-148-\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Footprint step: %s\", *job.ID, err.Error())\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-149-\t\t\t\tarchivePending.Done()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-150-\t\t\t\tcontinue\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-151-\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-152-\t\t\tif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta); err != nil {\ninternal/archiver/archiveWorker.go-153-\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Energy step: %s\", *job.ID, err.Error())\n--\ninternal/taskmanager/updateFootprintService.go-108-\t\t\t\t\t\t\t\tMax: (math.Round(max*100) / 100),\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-109-\t\t\t\t\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-110-\t\t\t\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-111-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-112-\t\t\t\t\t\t// Build Statement per Job, Add to Pending Array\ninternal/taskmanager/updateFootprintService.go-113-\t\t\t\t\t\tstmt := sq.Update(\"job\")\ninternal/taskmanager/updateFootprintService.go:114:\t\t\t\t\t\tstmt, err = jobRepo.UpdateFootprint(stmt, job)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-115-\t\t\t\t\t\tif err != nil {\ninternal/taskmanager/updateFootprintService.go-116-\t\t\t\t\t\t\tcclog.Errorf(\"update job (dbid: %d) statement build failed at footprint step: %s\", *job.ID, err.Error())\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-117-\t\t\t\t\t\t\tce++\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-118-\t\t\t\t\t\t\tcontinue\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-119-\t\t\t\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-120-\t\t\t\t\t\tstmt = stmt.Where(\"job.id = ?\", job.ID)\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-878-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-879-\ninternal/repository/job.go-880-\tcclog.Debugf(\"JobRepository.FindJobsBetween(): Return job count %d (omitTagged: %v)\", len(jobs), omitTagged)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-881-\treturn jobs, nil\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-882-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-883-\ninternal/repository/job.go:884:// UpdateMonitoringStatus updates the monitoring status for a job and invalidates its cache entries.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-885-// Cache invalidation affects both metadata and energy footprint to ensure consistency.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-886-//\ninternal/repository/job.go-887-/ Parameters:\ninternal/repository/job.go-888-/   - job: Database ID of the job to update\ninternal/repository/job.go-889-/   - monitoringStatus: New monitoring status value (see schema.MonitoringStatus constants)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-890-//\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-891-// Returns an error if the database update fails.\ninternal/repository/job.go:892:func (r *JobRepository) UpdateMonitoringStatus(job int64, monitoringStatus int32) (err error) {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-893-\t// Invalidate cache entries as monitoring status affects job state\ninternal/repository/job.go-894-\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", job))\ninternal/repository/job.go-895-\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", job))\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-896-\ninternal/repository/job.go-897-\tstmt := sq.Update(\"job\").\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-898-\t\tSet(\"monitoring_status\", monitoringStatus).\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-995-\t\treturn stmt, err\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-996-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-997-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-998-\treturn stmt.Set(\"energy_footprint\", string(rawFootprint)).Set(\"energy\", (math.Round(totalEnergy*100.0) / 100.0)), nil\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-999-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1000-\ninternal/repository/job.go:1001:// UpdateFootprint calculates and updates the performance footprint for a job.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1002-// This is called for running jobs during intermediate updates or when archiving.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1003-//\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1004-// A footprint is a summary statistic (avg/min/max) for each monitored metric.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1005-// The specific statistic type is defined in the cluster config's Footprint field.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1006-// Results are stored as JSON with keys like \"metric_avg\", \"metric_max\", etc.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1007-//\ninternal/repository/job.go-1008-/ Example: For a \"cpu_load\" metric with Footprint=\"avg\", this stores\ninternal/repository/job.go-1009-/ the average CPU load across all nodes as \"cpu_load_avg\": 85.3\ninternal/repository/job.go:1010:func (r *JobRepository) UpdateFootprint(\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1011-\tstmt sq.UpdateBuilder,\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1012-\tjobMeta *schema.Job,\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1013-) (sq.UpdateBuilder, error) {\ninternal/repository/job.go-1014-\tsc, err := archive.GetSubCluster(jobMeta.Cluster, jobMeta.SubCluster)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1015-\tif err != nil {\ninternal/repository/job.go-1016-\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())"}]},"uuid":"e5e36eaa-7900-4af3-993b-b2c8da96baac","timestamp":"2026-03-16T10:19:13.589Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"99a8aead-73dd-4955-b399-2c2034eab6cf","timestamp":"2026-03-16T10:19:13.736Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"bbf395e0-386e-4ea2-95f1-ccf1faa4adbb","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012Edqe79j7zb4bx8wAxFD93","type":"tool_result","content":"   908→// Execute runs a Squirrel UpdateBuilder statement against the database.\n   909→// This is a generic helper for executing pre-built update queries.\n   910→//\n   911→// Parameters:\n   912→//   - stmt: Squirrel UpdateBuilder with prepared update query\n   913→//\n   914→// Returns an error if the execution fails.\n   915→func (r *JobRepository) Execute(stmt sq.UpdateBuilder) error {\n   916→\tif _, err := stmt.RunWith(r.stmtCache).Exec(); err != nil {\n   917→\t\tcclog.Errorf(\"Error while executing statement: %v\", err)\n   918→\t\treturn fmt.Errorf(\"failed to execute update statement: %w\", err)\n   919→\t}\n   920→\n   921→\treturn nil\n   922→}\n   923→\n   924→// MarkArchived adds monitoring status update to an existing UpdateBuilder statement.\n   925→// This is a builder helper used when constructing multi-field update queries.\n   926→//\n   927→// Parameters:\n   928→//   - stmt: Existing UpdateBuilder to modify\n   929→//   - monitoringStatus: Monitoring status value to set\n   930→//\n   931→// Returns the modified UpdateBuilder for method chaining.\n   932→func (r *JobRepository) MarkArchived(\n   933→\tstmt sq.UpdateBuilder,\n   934→\tmonitoringStatus int32,\n   935→) sq.UpdateBuilder {\n   936→\treturn stmt.Set(\"monitoring_status\", monitoringStatus)\n   937→}\n   938→\n   939→// UpdateEnergy calculates and updates the energy consumption for a job.\n   940→// This is called for running jobs during intermediate updates or when archiving.\n   941→//\n   942→// Energy calculation formula:\n   943→//   - For \"power\" metrics: Energy (kWh) = (Power_avg * NumNodes * Duration_hours) / 1000\n   944→//   - For \"energy\" metrics: Currently not implemented (would need sum statistics)\n   945→//\n   946→// The calculation accounts for:\n   947→//   - Multi-node jobs: Multiplies by NumNodes to get total cluster energy\n   948→//   - Shared jobs: Node average is already based on partial resources, so NumNodes=1\n   949→//   - Unit conversion: Watts * hours / 1000 = kilowatt-hours (kWh)\n   950→//   - Rounding: Results rounded to 2 decimal places\n   951→func (r *JobRepository) UpdateEnergy(\n   952→\tstmt sq.UpdateBuilder,\n   953→\tjobMeta *schema.Job,\n   954→) (sq.UpdateBuilder, error) {\n   955→\tsc, err := archive.GetSubCluster(jobMeta.Cluster, jobMeta.SubCluster)\n   956→\tif err != nil {\n   957→\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())\n   958→\t\treturn stmt, err\n   959→\t}\n   960→\tenergyFootprint := make(map[string]float64)\n   961→\n   962→\t// Accumulate total energy across all energy-related metrics\n   963→\ttotalEnergy := 0.0\n   964→\tfor _, fp := range sc.EnergyFootprint {\n   965→\t\t// Calculate energy for this specific metric\n   966→\t\tmetricEnergy := 0.0\n   967→\t\tif i, err := archive.MetricIndex(sc.MetricConfig, fp); err == nil {\n   968→\t\t\tswitch sc.MetricConfig[i].Energy {\n   969→\t\t\tcase \"energy\": // Metric already in energy units (Joules or Wh)\n   970→\t\t\t\tcclog.Warnf(\"Update EnergyFootprint for Job %d and Metric %s on cluster %s: Set to 'energy' in cluster.json: Not implemented, will return 0.0\", jobMeta.JobID, jobMeta.Cluster, fp)\n   971→\t\t\t\t// FIXME: Needs sum as stats type to accumulate energy values over time\n   972→\t\t\tcase \"power\": // Metric in power units (Watts)\n   973→\t\t\t\t// Energy (kWh) = Power (W) × Time (h) / 1000\n   974→\t\t\t\t// Formula: (avg_power_per_node * num_nodes) * (duration_sec / 3600) / 1000\n   975→\t\t\t\t//\n   976→\t\t\t\t// Breakdown:\n   977→\t\t\t\t//   LoadJobStat(jobMeta, fp, \"avg\") = average power per node (W)\n   978→\t\t\t\t//   jobMeta.NumNodes = number of nodes (1 for shared jobs)\n   979→\t\t\t\t//   jobMeta.Duration / 3600.0 = duration in hours\n   980→\t\t\t\t//   / 1000.0 = convert Wh to kWh\n   981→\t\t\t\trawEnergy := ((LoadJobStat(jobMeta, fp, \"avg\") * float64(jobMeta.NumNodes)) * (float64(jobMeta.Duration) / 3600.0)) / 1000.0\n   982→\t\t\t\tmetricEnergy = math.Round(rawEnergy*100.0) / 100.0 // Round to 2 decimal places\n   983→\t\t\t}\n   984→\t\t} else {\n   985→\t\t\tcclog.Warnf(\"Error while collecting energy metric %s for job, DB ID '%v', return '0.0'\", fp, jobMeta.ID)\n   986→\t\t}\n   987→\n   988→\t\tenergyFootprint[fp] = metricEnergy\n   989→\t\ttotalEnergy += metricEnergy\n   990→\t}\n   991→\n   992→\tvar rawFootprint []byte\n   993→\tif rawFootprint, err = json.Marshal(energyFootprint); err != nil {\n   994→\t\tcclog.Warnf(\"Error while marshaling energy footprint for job INTO BYTES, DB ID '%v'\", jobMeta.ID)\n   995→\t\treturn stmt, err\n   996→\t}\n   997→\n   998→\treturn stmt.Set(\"energy_footprint\", string(rawFootprint)).Set(\"energy\", (math.Round(totalEnergy*100.0) / 100.0)), nil\n   999→}\n  1000→\n  1001→// UpdateFootprint calculates and updates the performance footprint for a job.\n  1002→// This is called for running jobs during intermediate updates or when archiving.\n  1003→//\n  1004→// A footprint is a summary statistic (avg/min/max) for each monitored metric.\n  1005→// The specific statistic type is defined in the cluster config's Footprint field.\n  1006→// Results are stored as JSON with keys like \"metric_avg\", \"metric_max\", etc.\n  1007→//"}]},"uuid":"e5673981-f132-4961-9abe-15b06319e973","timestamp":"2026-03-16T10:19:13.771Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"9674f47b-3957-4d03-ae8b-2b215b47588c","timestamp":"2026-03-16T10:19:14.016Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"9674f47b-3957-4d03-ae8b-2b215b47588c","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XmUUQ7FpkTEGodHtZ7uLAW","type":"tool_result","content":"   717→func (api *RestAPI) startJob(rw http.ResponseWriter, r *http.Request) {\n   718→\treq := schema.Job{\n   719→\t\tShared:           \"none\",\n   720→\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n   721→\t}\n   722→\tif err := decode(r.Body, &req); err != nil {\n   723→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n   724→\t\treturn\n   725→\t}\n   726→\n   727→\tcclog.Debugf(\"REST: %s\", req.GoString())\n   728→\treq.State = schema.JobStateRunning\n   729→\n   730→\tif err := importer.SanityChecks(&req); err != nil {\n   731→\t\thandleError(err, http.StatusBadRequest, rw)\n   732→\t\treturn\n   733→\t}\n   734→\n   735→\t// aquire lock to avoid race condition between API calls\n   736→\tvar unlockOnce sync.Once\n   737→\tapi.RepositoryMutex.Lock()\n   738→\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n   739→\n   740→\t// Check if combination of (job_id, cluster_id, start_time) already exists:\n   741→\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n   742→\tif err != nil && err != sql.ErrNoRows {\n   743→\t\thandleError(fmt.Errorf(\"checking for duplicate failed: %w\", err), http.StatusInternalServerError, rw)\n   744→\t\treturn\n   745→\t}\n   746→\tif err == nil {\n   747→\t\tfor _, job := range jobs {\n   748→\t\t\t// Check if jobs are within the same day (prevent duplicates)\n   749→\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n   750→\t\t\t\thandleError(fmt.Errorf(\"a job with that jobId, cluster and startTime already exists: dbid: %d, jobid: %d\", *job.ID, job.JobID), http.StatusUnprocessableEntity, rw)\n   751→\t\t\t\treturn\n   752→\t\t\t}\n   753→\t\t}\n   754→\t}\n   755→\n   756→\t// When tags are present, insert directly into the job table so that the\n   757→\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n   758→\t// Jobs without tags use the cache path as before.\n   759→\tvar id int64\n   760→\tif len(req.Tags) > 0 {\n   761→\t\tid, err = api.JobRepository.StartDirect(&req)\n   762→\t} else {\n   763→\t\tid, err = api.JobRepository.Start(&req)\n   764→\t}\n   765→\tif err != nil {\n   766→\t\thandleError(fmt.Errorf(\"insert into database failed: %w\", err), http.StatusInternalServerError, rw)\n   767→\t\treturn\n   768→\t}\n   769→\t// unlock here, adding Tags can be async\n   770→\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n   771→\n   772→\tfor _, tag := range req.Tags {\n   773→\t\tif _, err := api.JobRepository.AddTagOrCreate(repository.GetUserFromContext(r.Context()), id, tag.Type, tag.Name, tag.Scope); err != nil {\n   774→\t\t\thandleError(fmt.Errorf(\"adding tag to new job %d failed: %w\", id, err), http.StatusInternalServerError, rw)\n   775→\t\t\treturn\n   776→\t\t}\n   777→\t}\n   778→\n   779→\tcclog.Infof(\"new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\", id, req.Cluster, req.JobID, req.User, req.StartTime)\n   780→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   781→\trw.WriteHeader(http.StatusCreated)\n   782→\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{\n   783→\t\tMessage: \"success\",\n   784→\t}); err != nil {\n   785→\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n   786→\t}\n   787→}\n   788→\n   789→// stopJobByRequest godoc\n   790→// @summary     Marks job as completed and triggers archiving\n   791→// @tags Job add and modify\n   792→// @description Job to stop is specified by request body. All fields are required in this case.\n   793→// @description Returns full job resource information according to 'Job' scheme.\n   794→// @produce     json\n   795→// @param       request body     api.StopJobAPIRequest true \"All fields required\"\n   796→// @success     200     {object} schema.Job                 \"Success message\"\n   797→// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n   798→// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n   799→// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n   800→// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n   801→// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: job has already been stopped\"\n   802→// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n   803→// @security    ApiKeyAuth\n   804→// @router      /api/jobs/stop_job/ [post]\n   805→func (api *RestAPI) stopJobByRequest(rw http.ResponseWriter, r *http.Request) {\n   806→\t// Parse request body\n   807→\treq := StopJobAPIRequest{}\n   808→\tif err := decode(r.Body, &req); err != nil {\n   809→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n   810→\t\treturn\n   811→\t}\n   812→\n   813→\t// Fetch job (that will be stopped) from db\n   814→\tvar job *schema.Job\n   815→\tvar err error\n   816→\tif req.JobID == nil {"}]},"uuid":"a274be55-d640-456c-9e22-e782ce31fc30","timestamp":"2026-03-16T10:19:14.003Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"eedddb18-4742-4003-a973-e48465fa8814","timestamp":"2026-03-16T10:19:14.246Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"042c6cc4-6ff0-4a8f-b2e1-9aac1fae03a7","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KxgnFecKv137Seew4smC9q","type":"tool_result","content":"   805→func (api *RestAPI) stopJobByRequest(rw http.ResponseWriter, r *http.Request) {\n   806→\t// Parse request body\n   807→\treq := StopJobAPIRequest{}\n   808→\tif err := decode(r.Body, &req); err != nil {\n   809→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n   810→\t\treturn\n   811→\t}\n   812→\n   813→\t// Fetch job (that will be stopped) from db\n   814→\tvar job *schema.Job\n   815→\tvar err error\n   816→\tif req.JobID == nil {\n   817→\t\thandleError(errors.New(\"the field 'jobId' is required\"), http.StatusBadRequest, rw)\n   818→\t\treturn\n   819→\t}\n   820→\n   821→\tisCached := false\n   822→\tjob, err = api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n   823→\tif err != nil {\n   824→\t\t// Not in cache, try main job table\n   825→\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n   826→\t\tif err != nil {\n   827→\t\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n   828→\t\t\treturn\n   829→\t\t}\n   830→\t} else {\n   831→\t\tisCached = true\n   832→\t}\n   833→\n   834→\tapi.checkAndHandleStopJob(rw, job, req, isCached)\n   835→}\n   836→\n   837→// deleteJobByID godoc\n   838→// @summary     Remove a job from the sql database\n   839→// @tags Job remove\n   840→// @description Job to remove is specified by database ID. This will not remove the job from the job archive.\n   841→// @produce     json\n   842→// @param       id      path     int                   true \"Database ID of Job\"\n   843→// @success     200     {object} api.DefaultAPIResponse  \"Success message\"\n   844→// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n   845→// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n   846→// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n   847→// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n   848→// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n   849→// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n   850→// @security    ApiKeyAuth\n   851→// @router      /api/jobs/delete_job/{id} [delete]\n   852→func (api *RestAPI) deleteJobByID(rw http.ResponseWriter, r *http.Request) {\n   853→\t// Fetch job (that will be stopped) from db\n   854→\tid := chi.URLParam(r, \"id\")"}]},"uuid":"1004fea2-e9da-4776-b7a7-1d7d31a5018a","timestamp":"2026-03-16T10:19:14.465Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"23bed1a2-0a41-41a5-9e93-b9fa409a1897","timestamp":"2026-03-16T10:19:14.559Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"23bed1a2-0a41-41a5-9e93-b9fa409a1897","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:14.606Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01BB18wmZ2KzJpBXtTRnEhmB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01YPm1XWAYm7q64GnUsS7kUE","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go","limit":100},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":555,"cache_read_input_tokens":62950,"cache_creation":{"ephemeral_5m_input_tokens":555,"ephemeral_1h_input_tokens":0},"output_tokens":18,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b8aA1sSE1o1UFr8AUY","uuid":"f58dec96-e4dd-4426-9035-537ce3c08a7d"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"9ecf8df0-848c-4c86-b10d-95aa4960df11","timestamp":"2026-03-16T10:19:14.606Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"9ecf8df0-848c-4c86-b10d-95aa4960df11","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YPm1XWAYm7q64GnUsS7kUE","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"fmt\"\n    10→\t\"maps\"\n    11→\t\"net/http\"\n    12→\t\"strings\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→)\n    22→\n    23→type UpdateNodeStatesRequest struct {\n    24→\tNodes   []schema.NodePayload `json:\"nodes\"`\n    25→\tCluster string               `json:\"cluster\" example:\"fritz\"`\n    26→}\n    27→\n    28→// metricListToNames converts a map of metric configurations to a list of metric names\n    29→func metricListToNames(metricList map[string]*schema.Metric) []string {\n    30→\tnames := make([]string, 0, len(metricList))\n    31→\tfor name := range metricList {\n    32→\t\tnames = append(names, name)\n    33→\t}\n    34→\treturn names\n    35→}\n    36→\n    37→// this routine assumes that only one of them exists per node\n    38→func determineState(states []string) schema.SchedulerState {\n    39→\tfor _, state := range states {\n    40→\t\tswitch strings.ToLower(state) {\n    41→\t\tcase \"allocated\":\n    42→\t\t\treturn schema.NodeStateAllocated\n    43→\t\tcase \"reserved\":\n    44→\t\t\treturn schema.NodeStateReserved\n    45→\t\tcase \"idle\":\n    46→\t\t\treturn schema.NodeStateIdle\n    47→\t\tcase \"down\":\n    48→\t\t\treturn schema.NodeStateDown\n    49→\t\tcase \"mixed\":\n    50→\t\t\treturn schema.NodeStateMixed\n    51→\t\t}\n    52→\t}\n    53→\n    54→\treturn schema.NodeStateUnknown\n    55→}\n    56→\n    57→// updateNodeStates godoc\n    58→// @summary     Deliver updated Slurm node states\n    59→// @tags Nodestates\n    60→// @description Returns a JSON-encoded list of users.\n    61→// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n    62→// @produce     json\n    63→// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n    64→// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n    65→// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n    66→// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n    67→// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n    68→// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n    69→// @security    ApiKeyAuth\n    70→// @router      /api/nodestats/ [post]\n    71→func (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n    72→\t// Parse request body\n    73→\treq := UpdateNodeStatesRequest{}\n    74→\tif err := decode(r.Body, &req); err != nil {\n    75→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n    76→\t\t\thttp.StatusBadRequest, rw)\n    77→\t\treturn\n    78→\t}\n    79→\trequestReceived := time.Now().Unix()\n    80→\trepo := repository.GetNodeRepository()\n    81→\n    82→\tm := make(map[string][]string)\n    83→\tmetricNames := make(map[string][]string)\n    84→\thealthResults := make(map[string]metricstore.HealthCheckResult)\n    85→\n    86→\tstartMs := time.Now()\n    87→\n    88→\t// Step 1: Build nodeList and metricList per subcluster\n    89→\tfor _, node := range req.Nodes {\n    90→\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n    91→\t\t\tm[sc] = append(m[sc], node.Hostname)\n    92→\t\t}\n    93→\t}\n    94→\n    95→\tfor sc := range m {\n    96→\t\tif sc != \"\" {\n    97→\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n    98→\t\t\tmetricNames[sc] = metricListToNames(metricList)\n    99→\t\t}\n   100→\t}"}]},"uuid":"085bc42c-e966-4db3-a9ee-dd5f0a17f0b2","timestamp":"2026-03-16T10:19:14.612Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"1bca4a0e-a37e-45cd-b75c-7472d13fb965","timestamp":"2026-03-16T10:19:14.616Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"1bca4a0e-a37e-45cd-b75c-7472d13fb965","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:15.708Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01CXmzugVGwb8E2Zu2pgwpTF","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FP9cGEWnLxaPiP3u4xSNdP","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":2094,"cache_read_input_tokens":68339,"cache_creation":{"ephemeral_5m_input_tokens":2094,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b8hKsn3iYxBBtGYFJX","uuid":"b0ab6579-85df-4bb4-97a3-7052f0e1cb3d"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"7821a38c-2891-4b0b-a7bb-20af92e3eacd","timestamp":"2026-03-16T10:19:15.709Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"7821a38c-2891-4b0b-a7bb-20af92e3eacd","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FP9cGEWnLxaPiP3u4xSNdP","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"database/sql\"\n    10→\t\"encoding/json\"\n    11→\t\"strings\"\n    12→\t\"sync\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n    21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n    23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    24→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n    25→)\n    26→\n    27→// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n    28→// It mirrors the functionality of the REST API but uses NATS messaging with\n    29→// InfluxDB line protocol as the message format.\n    30→//\n    31→// # Message Format\n    32→//\n    33→// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n    34→// with the following structure:\n    35→//\n    36→//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n    37→//\n    38→// # Job Events\n    39→//\n    40→// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n    41→//\n    42→//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n    43→//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n    44→//\n    45→// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n    46→//\n    47→// Example job start message:\n    48→//\n    49→//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n    50→//\n    51→// # Node State Events\n    52→//\n    53→// Node state updates use the \"nodestate\" measurement with cluster information:\n    54→//\n    55→//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n    56→//\n    57→// The JSON payload follows the UpdateNodeStatesRequest structure.\n    58→//\n    59→// Example node state message:\n    60→//\n    61→//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\n    62→type NatsAPI struct {\n    63→\tJobRepository *repository.JobRepository\n    64→\t// RepositoryMutex protects job creation operations from race conditions\n    65→\t// when checking for duplicate jobs during startJob calls.\n    66→\tRepositoryMutex sync.Mutex\n    67→\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n    68→\t// when the database is under contention.\n    69→\tjobSem chan struct{}\n    70→\t// nodeSem limits concurrent NATS node state processing.\n    71→\tnodeSem chan struct{}\n    72→}\n    73→\n    74→// NewNatsAPI creates a new NatsAPI instance with default dependencies.\n    75→func NewNatsAPI() *NatsAPI {\n    76→\treturn &NatsAPI{\n    77→\t\tJobRepository: repository.GetJobRepository(),\n    78→\t\tjobSem:        make(chan struct{}, 8),\n    79→\t\tnodeSem:       make(chan struct{}, 2),\n    80→\t}\n    81→}\n    82→\n    83→// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n    84→// Returns an error if the NATS client is not available or subscription fails.\n    85→func (api *NatsAPI) StartSubscriptions() error {\n    86→\tclient := nats.GetClient()\n    87→\tif client == nil {\n    88→\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n    89→\t\treturn nil\n    90→\t}\n    91→\n    92→\tif config.Keys.APISubjects != nil {\n    93→\n    94→\t\ts := config.Keys.APISubjects\n    95→\n    96→\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n    97→\t\t\treturn err\n    98→\t\t}\n    99→\n   100→\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n   101→\t\t\treturn err\n   102→\t\t}\n   103→\n   104→\t\tcclog.Info(\"NATS API subscriptions started\")\n   105→\t}\n   106→\treturn nil\n   107→}\n   108→\n   109→// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n   110→// Validates that required tags and fields are present before processing.\n   111→func (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n   112→\tfunction, ok := msg.GetTag(\"function\")\n   113→\tif !ok {\n   114→\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n   115→\t\treturn\n   116→\t}\n   117→\n   118→\tswitch function {\n   119→\tcase \"start_job\":\n   120→\t\tv, ok := msg.GetEventValue()\n   121→\t\tif !ok {\n   122→\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n   123→\t\t\treturn\n   124→\t\t}\n   125→\t\tapi.handleStartJob(v)\n   126→\n   127→\tcase \"stop_job\":\n   128→\t\tv, ok := msg.GetEventValue()\n   129→\t\tif !ok {\n   130→\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n   131→\t\t\treturn\n   132→\t\t}\n   133→\t\tapi.handleStopJob(v)\n   134→\n   135→\tdefault:\n   136→\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n   137→\t}\n   138→}\n   139→\n   140→// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n   141→// The message must be in line protocol format with measurement=\"job\" and include:\n   142→//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n   143→//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n   144→//\n   145→// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\n   146→func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n   147→\tapi.jobSem <- struct{}{}\n   148→\tdefer func() { <-api.jobSem }()\n   149→\n   150→\tif len(data) == 0 {"}]},"uuid":"86fde437-b528-499c-a1d7-5fa79121d4a3","timestamp":"2026-03-16T10:19:15.717Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"10db13cc-82fa-4994-9a75-e267b3ebaf1a","timestamp":"2026-03-16T10:19:15.867Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"8cd10b6f-eaf8-4eb3-ad75-c9533683b391","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CGZx3Tcha15fXatnAhrEZW","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"database/sql\"\n    10→\t\"encoding/json\"\n    11→\t\"strings\"\n    12→\t\"sync\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n    21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n    23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    24→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n    25→)\n    26→\n    27→// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n    28→// It mirrors the functionality of the REST API but uses NATS messaging with\n    29→// InfluxDB line protocol as the message format.\n    30→//\n    31→// # Message Format\n    32→//\n    33→// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n    34→// with the following structure:\n    35→//\n    36→//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n    37→//\n    38→// # Job Events\n    39→//\n    40→// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n    41→//\n    42→//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n    43→//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n    44→//\n    45→// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n    46→//\n    47→// Example job start message:\n    48→//\n    49→//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n    50→//\n    51→// # Node State Events\n    52→//\n    53→// Node state updates use the \"nodestate\" measurement with cluster information:\n    54→//\n    55→//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n    56→//\n    57→// The JSON payload follows the UpdateNodeStatesRequest structure.\n    58→//\n    59→// Example node state message:\n    60→//\n    61→//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\n    62→type NatsAPI struct {\n    63→\tJobRepository *repository.JobRepository\n    64→\t// RepositoryMutex protects job creation operations from race conditions\n    65→\t// when checking for duplicate jobs during startJob calls.\n    66→\tRepositoryMutex sync.Mutex\n    67→\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n    68→\t// when the database is under contention.\n    69→\tjobSem chan struct{}\n    70→\t// nodeSem limits concurrent NATS node state processing.\n    71→\tnodeSem chan struct{}\n    72→}\n    73→\n    74→// NewNatsAPI creates a new NatsAPI instance with default dependencies.\n    75→func NewNatsAPI() *NatsAPI {\n    76→\treturn &NatsAPI{\n    77→\t\tJobRepository: repository.GetJobRepository(),\n    78→\t\tjobSem:        make(chan struct{}, 8),\n    79→\t\tnodeSem:       make(chan struct{}, 2),\n    80→\t}\n    81→}\n    82→\n    83→// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n    84→// Returns an error if the NATS client is not available or subscription fails.\n    85→func (api *NatsAPI) StartSubscriptions() error {\n    86→\tclient := nats.GetClient()\n    87→\tif client == nil {\n    88→\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n    89→\t\treturn nil\n    90→\t}\n    91→\n    92→\tif config.Keys.APISubjects != nil {\n    93→\n    94→\t\ts := config.Keys.APISubjects\n    95→\n    96→\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n    97→\t\t\treturn err\n    98→\t\t}\n    99→\n   100→\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n   101→\t\t\treturn err\n   102→\t\t}\n   103→\n   104→\t\tcclog.Info(\"NATS API subscriptions started\")\n   105→\t}\n   106→\treturn nil\n   107→}\n   108→\n   109→// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n   110→// Validates that required tags and fields are present before processing.\n   111→func (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n   112→\tfunction, ok := msg.GetTag(\"function\")\n   113→\tif !ok {\n   114→\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n   115→\t\treturn\n   116→\t}\n   117→\n   118→\tswitch function {\n   119→\tcase \"start_job\":\n   120→\t\tv, ok := msg.GetEventValue()\n   121→\t\tif !ok {\n   122→\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n   123→\t\t\treturn\n   124→\t\t}\n   125→\t\tapi.handleStartJob(v)\n   126→\n   127→\tcase \"stop_job\":\n   128→\t\tv, ok := msg.GetEventValue()\n   129→\t\tif !ok {\n   130→\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n   131→\t\t\treturn\n   132→\t\t}\n   133→\t\tapi.handleStopJob(v)\n   134→\n   135→\tdefault:\n   136→\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n   137→\t}\n   138→}\n   139→\n   140→// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n   141→// The message must be in line protocol format with measurement=\"job\" and include:\n   142→//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n   143→//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n   144→//\n   145→// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\n   146→func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n   147→\tapi.jobSem <- struct{}{}\n   148→\tdefer func() { <-api.jobSem }()\n   149→\n   150→\tif len(data) == 0 {"}]},"uuid":"187897f4-6a9a-44cb-ad1f-d7a698c576a8","timestamp":"2026-03-16T10:19:16.416Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"678f1bdf-2c96-4b0e-90c6-e66435e0bb0a","timestamp":"2026-03-16T10:19:16.419Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"d8731946-abff-4cfa-a1e9-76475a1b2d16","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016H5RJKfCjDuuicn8ZMGcPE","type":"tool_result","content":"   165→// AddTagsToJob is the resolver for the addTagsToJob field.\n   166→func (r *mutationResolver) AddTagsToJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n   167→\tuser := repository.GetUserFromContext(ctx)\n   168→\tif user == nil {\n   169→\t\treturn nil, fmt.Errorf(\"no user in context\")\n   170→\t}\n   171→\n   172→\tjid, err := strconv.ParseInt(job, 10, 64)\n   173→\tif err != nil {\n   174→\t\tcclog.Warn(\"Error while adding tag to job\")\n   175→\t\treturn nil, err\n   176→\t}\n   177→\n   178→\ttags := []*schema.Tag{}\n   179→\tfor _, tagID := range tagIds {\n   180→\t\t// Get ID\n   181→\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n   182→\t\tif err != nil {\n   183→\t\t\tcclog.Warn(\"Error while parsing tag id\")\n   184→\t\t\treturn nil, err\n   185→\t\t}\n   186→\n   187→\t\t// Test Exists\n   188→\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n   189→\t\tif !exists {\n   190→\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n   191→\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n   192→\t\t}\n   193→\n   194→\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n   195→\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n   196→\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n   197→\t\t\tuser.Username == tscope {\n   198→\t\t\t// Add to Job\n   199→\t\t\tif tags, err = r.Repo.AddTag(user, jid, tid); err != nil {\n   200→\t\t\t\tcclog.Warn(\"Error while adding tag\")\n   201→\t\t\t\treturn nil, err\n   202→\t\t\t}\n   203→\t\t} else {\n   204→\t\t\tcclog.Warnf(\"Not authorized to add tag: %d\", tid)\n   205→\t\t\treturn nil, fmt.Errorf(\"not authorized to add tag: %d\", tid)\n   206→\t\t}\n   207→\t}\n   208→\n   209→\treturn tags, nil\n   210→}\n   211→\n   212→// RemoveTagsFromJob is the resolver for the removeTagsFromJob field.\n   213→func (r *mutationResolver) RemoveTagsFromJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n   214→\tuser := repository.GetUserFromContext(ctx)\n   215→\tif user == nil {\n   216→\t\treturn nil, fmt.Errorf(\"no user in context\")\n   217→\t}\n   218→\n   219→\tjid, err := strconv.ParseInt(job, 10, 64)\n   220→\tif err != nil {\n   221→\t\tcclog.Warn(\"Error while parsing job id\")\n   222→\t\treturn nil, err\n   223→\t}\n   224→\n   225→\ttags := []*schema.Tag{}\n   226→\tfor _, tagID := range tagIds {\n   227→\t\t// Get ID\n   228→\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n   229→\t\tif err != nil {\n   230→\t\t\tcclog.Warn(\"Error while parsing tag id\")\n   231→\t\t\treturn nil, err\n   232→\t\t}\n   233→\n   234→\t\t// Test Exists\n   235→\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n   236→\t\tif !exists {\n   237→\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n   238→\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n   239→\t\t}\n   240→\n   241→\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n   242→\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n   243→\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n   244→\t\t\tuser.Username == tscope {\n   245→\t\t\t// Remove from Job\n   246→\t\t\tif tags, err = r.Repo.RemoveTag(user, jid, tid); err != nil {\n   247→\t\t\t\tcclog.Warn(\"Error while removing tag\")\n   248→\t\t\t\treturn nil, err\n   249→\t\t\t}\n   250→\t\t} else {\n   251→\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n   252→\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n   253→\t\t}\n   254→\n   255→\t}\n   256→\n   257→\treturn tags, nil\n   258→}\n   259→\n   260→// RemoveTagFromList is the resolver for the removeTagFromList field.\n   261→func (r *mutationResolver) RemoveTagFromList(ctx context.Context, tagIds []string) ([]int, error) {\n   262→\t// Needs Contextuser\n   263→\tuser := repository.GetUserFromContext(ctx)\n   264→\tif user == nil {\n   265→\t\treturn nil, fmt.Errorf(\"no user in context\")\n   266→\t}\n   267→\n   268→\ttags := []int{}\n   269→\tfor _, tagID := range tagIds {\n   270→\t\t// Get ID\n   271→\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n   272→\t\tif err != nil {\n   273→\t\t\tcclog.Warn(\"Error while parsing tag id for removal\")\n   274→\t\t\treturn nil, err\n   275→\t\t}\n   276→\n   277→\t\t// Test Exists\n   278→\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n   279→\t\tif !exists {\n   280→\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n   281→\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n   282→\t\t}\n   283→\n   284→\t\t// Test Access: Admins && Admin Tag OR Everyone && Private Tag\n   285→\t\tif user.HasRole(schema.RoleAdmin) && (tscope == \"global\" || tscope == \"admin\") || user.Username == tscope {\n   286→\t\t\t// Remove from DB\n   287→\t\t\tif err = r.Repo.RemoveTagByID(tid); err != nil {\n   288→\t\t\t\tcclog.Warn(\"Error while removing tag\")\n   289→\t\t\t\treturn nil, err\n   290→\t\t\t} else {\n   291→\t\t\t\ttags = append(tags, int(tid))\n   292→\t\t\t}\n   293→\t\t} else {\n   294→\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n   295→\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n   296→\t\t}\n   297→\t}\n   298→\treturn tags, nil\n   299→}\n   300→\n   301→// UpdateConfiguration is the resolver for the updateConfiguration field.\n   302→func (r *mutationResolver) UpdateConfiguration(ctx context.Context, name string, value string) (*string, error) {\n   303→\tif err := repository.GetUserCfgRepo().UpdateConfig(name, value, repository.GetUserFromContext(ctx)); err != nil {\n   304→\t\tcclog.Warn(\"Error while updating user config\")\n   305→\t\treturn nil, err\n   306→\t}\n   307→\n   308→\treturn nil, nil\n   309→}\n   310→\n   311→// ID is the resolver for the id field.\n   312→func (r *nodeResolver) ID(ctx context.Context, obj *schema.Node) (string, error) {\n   313→\tpanic(fmt.Errorf(\"not implemented: ID - id\"))\n   314→}"}]},"uuid":"5250fa07-2887-48b4-940d-7cb00ada80f1","timestamp":"2026-03-16T10:19:20.202Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"3130ba5c-0b2b-40fe-b363-9c01afe8b031","timestamp":"2026-03-16T10:19:20.240Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"be9edc37-8b94-42c3-a207-56a1de047ced","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","type":"tool_result","content":[{"type":"text","text":"Perfect. Now I have enough information to provide a comprehensive analysis. Let me compile my findings:\n\n## DB Write Patterns Analysis - ClusterCockpit cc-backend\n\nBased on my thorough exploration of the codebase, I've identified several DB write patterns and opportunities for transaction-based optimization. Here's my detailed analysis:\n\n---\n\n## 1. TAG OPERATIONS - HIGH TRANSACTION OPPORTUNITY\n\n### Pattern: AddTagOrCreate (Internal/repository/tags.go:424)\nWhen adding tags to a job with multiple tags, each tag operation is **separate and non-transactional**:\n\n```\nstartJob() → for each tag {\n  → TagID lookup (SELECT)\n  → CreateTag (INSERT) if missing\n  → AddTag (INSERT into jobtag)\n  → GetTags (SELECT)\n  → archive.UpdateTags() (file write)\n}\n```\n\n**Current Issues:**\n- **Line 760-777** in `/internal/api/job.go`: When startJob is called with `req.Tags`, each tag is added individually via `AddTagOrCreate()` inside a loop\n- **Line 570-583** in `/internal/api/job.go`: tagJob endpoint adds multiple tags one-by-one with individual archive updates\n- **Lines 165-210** in `/internal/graph/schema.resolvers.go`: GraphQL AddTagsToJob loops through tag IDs, calling `AddTag()` for each without batching\n\n**Batch Potential:** ⭐⭐⭐⭐⭐ **HIGHEST**\n- A job with 5 tags = 5 separate transactions (INSERT + SELECT + archive write)\n- Could be batched into single transaction: 1 INSERT many jobtag + 1 archive write\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go`\n\n**addJobTag() helper (line 398):** Performs 3 operations per tag:\n1. INSERT into jobtag\n2. SELECT tags\n3. archive.UpdateTags() (file I/O)\n\n**AddTagOrCreate() (line 424):** Chains multiple operations:\n1. TagID lookup\n2. CreateTag if missing (conditional INSERT)\n3. AddTag (calls addJobTag, which does 3 more ops)\n\n---\n\n## 2. JOB ARCHIVING WRITES - MODERATE TRANSACTION OPPORTUNITY\n\n### Pattern: Archiving Workflow (archiveWorker in /internal/archiver/archiveWorker.go)\n\nWhen a job is archived, **3-4 separate UPDATE statements** execute sequentially:\n\n```\narchivingWorker() → for job in archiveChannel {\n  → FetchMetadata (SELECT)\n  → ArchiveJob() (file writes + calculations)\n  → UpdateFootprint (UPDATE)\n  → UpdateEnergy (UPDATE)  \n  → MarkArchived (UPDATE)\n  → Execute(stmt) (single UPDATE with 3 SET clauses)\n  → CallJobStopHooks()\n}\n```\n\n**Current Issues:**\n- **Lines 145-159** in `/internal/archiver/archiveWorker.go`: Three separate `.Set()` calls chained together but executed as ONE statement via `jobRepo.Execute(stmt)`\n- Actually **GOOD**: The code chains multiple SET operations into a single UPDATE via Squirrel builder pattern\n- However, the statement is still a single UPDATE - could be a transaction for safety\n\n**Transaction Benefit:** ⭐⭐⭐ **MODERATE**\n- Currently chains SETs into one UPDATE (good)\n- Could add transaction wrapper for atomicity guarantee\n- Already uses statement builder pattern to combine updates\n\n### Key Files:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go:145-163`\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:908-999` (UpdateEnergy, UpdateFootprint, MarkArchived, Execute)\n\n---\n\n## 3. JOB IMPORT/RESTORE - HIGH TRANSACTION OPPORTUNITY\n\n### Pattern: HandleImportFlag (internal/importer/handleImport.go:38)\n\nImports job metadata + tags without batching:\n\n```\nHandleImportFlag(flag) → for each job in flag {\n  → Read JSON files\n  → archive.ImportJob() (file write)\n  → InsertJobDirect (INSERT)\n  → for each tag in job.Tags {\n    → ImportTag() (SELECT + INSERT per tag)\n  }\n}\n```\n\n**Current Issues:**\n- **Lines 105-116** in `/internal/importer/handleImport.go`: \n  - 1 job INSERT per job\n  - N tag operations (SELECT + INSERT) per job\n  - No transaction wrapping job + all its tags\n  \n**Batch Potential:** ⭐⭐⭐⭐⭐ **HIGHEST**\n- If importing 100 jobs with 3 tags each = 100 INSERTs + 300 tag lookups/inserts\n- Could batch into transaction: INSERT 100 jobs + 300 tag associations in single txn\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go:111-116`\n\n---\n\n## 4. JOB CACHE TO MAIN TABLE TRANSFER - IDENTIFIED ISSUE\n\n### Pattern: TransferCachedJobToMain (internal/repository/jobCreate.go:143)\n\n**EXACT ISSUE YOU MENTIONED:**\n\n```go\n// TransferCachedJobToMain - Lines 143-162\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n    res, err := r.DB.Exec(\n        \"INSERT INTO job ... SELECT ... FROM job_cache WHERE id = ?\", cacheID)\n    if err != nil { return 0, ... }\n    \n    newID, err := res.LastInsertId()\n    if err != nil { return 0, ... }\n    \n    _, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)  // SEPARATE OPERATION\n    if err != nil { return 0, ... }\n    \n    return newID, nil\n}\n```\n\n**Issue:** ⚠️ **TWO SEPARATE EXEC CALLS**\n- Line 144-146: INSERT\n- Line 156: DELETE\n- No transaction wrapping both operations\n- **Risk:** If DELETE fails, job orphaned in main table and cache\n\n**Transaction Fix:** Wrap both operations in `tx.Beginx()` / `tx.Commit()`\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go:143-162`\n\n---\n\n## 5. JOB STOP WORKFLOW - MILD CONSOLIDATION OPPORTUNITY\n\n### Pattern: stopJobByRequest (internal/api/job.go:805)\n\nCalls `checkAndHandleStopJob()` which likely:\n1. Updates job state (Stop)\n2. Transfers from cache to main table (INSERT + DELETE as shown above)\n3. Triggers archiving\n\n**Issue:** Multiple separate repository calls that could be transactional\n\n### Key Files:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go:805-835`\n- The actual logic is in `checkAndHandleStopJob()` - would need to read that\n\n---\n\n## 6. TAG REMOVAL - DISTRIBUTED WRITES\n\n### Pattern: RemoveTagByID (internal/repository/tags.go:216)\n\n```go\n// RemoveTagByID - Lines 216-244\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n    jobIds, err := r.FindJobIdsByTag(tagID)  // SELECT all job IDs\n    \n    qJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n    if _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil { ... }\n    \n    qTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n    if _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil { ... }\n    \n    go r.removeTagFromArchiveJobs(jobIds)  // ASYNC goroutine\n    \n    return nil\n}\n```\n\n**Issues:**\n- **2 separate DELETE statements** (jobtag, then tag)\n- Could be 1 transaction\n- Archive updates run **asynchronously in goroutine** (line 241)\n- **Lines 183-199** show async archive updates without error handling\n\n**Transaction Opportunity:** ⭐⭐⭐ **MODERATE**\n- Can wrap 2 DELETEs in single transaction\n\n### Key Files:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go:216-244`\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go:183-199`\n\n---\n\n## 7. GRAPHQL TAG MUTATIONS - LOOP-BASED WRITES\n\n### Pattern: AddTagsToJob, RemoveTagsFromJob (internal/graph/schema.resolvers.go:166, 213)\n\n**Lines 179-207** and **Lines 226-255**:\n```go\nfor _, tagID := range tagIds {\n    // Lookup tag\n    _, _, tscope, exists := r.Repo.TagInfo(tid)\n    // Authorization check\n    // Add/Remove\n    if tags, err = r.Repo.AddTag(...); err != nil { ... }\n}\n```\n\n**Issue:**\n- **Loop per tag** with individual `AddTag()` or `RemoveTag()` calls\n- 5 tags = 5 separate database transactions with archive updates\n- Could batch into single transaction\n\n**Batch Potential:** ⭐⭐⭐⭐ **HIGH**\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go:165-210, 212-258`\n\n---\n\n## 8. NATS API - SEMAPHORE-PROTECTED WRITES\n\n### Pattern: NATS Job/Node event handlers (internal/api/nats.go)\n\nUses semaphores to limit concurrency:\n```go\ntype NatsAPI struct {\n    jobSem chan struct{} // capacity 8\n    nodeSem chan struct{} // capacity 2\n}\n\nfunc (api *NatsAPI) handleJobEvent(...) {\n    api.jobSem <- struct{}{}      // acquire semaphore\n    defer func() { <-api.jobSem }() // release\n    // ... process job (same write patterns as REST)\n}\n```\n\n**No Issues:** Semaphores are for concurrency control, not transactional. Underlying writes are same as REST API (non-transactional tag adds).\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:62-80, 147-148`\n\n---\n\n## 9. STATISTICS/ENERGY FOOTPRINT UPDATES - AGGREGATION-ONLY\n\n### Pattern: Stats queries (internal/repository/stats.go)\n\nAll **READ-ONLY** SELECT with aggregations. No write batching opportunities.\n\nKey observation: Post-archiving stats updates are computed by `UpdateFootprint()` and `UpdateEnergy()` which are already in a single UPDATE statement (item #2).\n\n---\n\n## TRANSACTION SUPPORT STATUS\n\n**Good news:** The codebase **already has transaction support**:\n\n### Available Transaction API (internal/repository/transaction.go):\n```go\ntype Transaction struct { tx *sqlx.Tx }\n\nfunc (r *JobRepository) TransactionInit() (*Transaction, error)\nfunc (t *Transaction) Commit() error\nfunc (t *Transaction) Rollback() error\nfunc (r *JobRepository) TransactionAddNamed(t *Transaction, query string, args ...any) (int64, error)\nfunc (r *JobRepository) TransactionAdd(t *Transaction, query string, args ...any) (int64, error)\n```\n\n**Currently used in:** `/internal/repository/jobCreate.go:96-120` (SyncJobs function uses `tx.Beginx()`)\n\n**Not used in:** Tag operations, individual archiving, import loops\n\n---\n\n## SUMMARY TABLE\n\n| Pattern | Location | Issue | Batch Potential | Transaction Support | Priority |\n|---------|----------|-------|-----------------|---------------------|----------|\n| AddTagOrCreate in loop | api/job.go:760-777, api/job.go:570-583 | 1 txn per tag | ⭐⭐⭐⭐⭐ | Exists | HIGH |\n| ImportTag per tag | importer/handleImport.go:111-116 | 1 txn per tag | ⭐⭐⭐⭐⭐ | Exists | HIGH |\n| TransferCachedJobToMain | repository/jobCreate.go:143-162 | INSERT + DELETE separate | ⭐⭐⭐⭐ | Exists | **CRITICAL** |\n| RemoveTagByID | repository/tags.go:216-244 | 2 separate DELETEs | ⭐⭐⭐ | Exists | MEDIUM |\n| GraphQL AddTagsToJob | graph/schema.resolvers.go:179-207 | 1 txn per tag | ⭐⭐⭐⭐ | Exists | HIGH |\n| Archiving updates | archiver/archiveWorker.go:145-163 | 3 SETs chained (OK) | ⭐⭐ | Already good | LOW |\n| Job stats queries | repository/stats.go | Read-only aggregations | N/A | N/A | N/A |\n\n---\n\n## RECOMMENDATIONS\n\n1. **CRITICAL**: Fix `TransferCachedJobToMain()` - wrap INSERT + DELETE in transaction\n2. **HIGH**: Batch tag operations in `tagJob()` and `AddTagsToJob()` - add `BatchAddTags()` method\n3. **HIGH**: Batch import tag operations - wrap job insert + all tags in single transaction\n4. **MEDIUM**: Consolidate `RemoveTagByID()` - use single transaction for both DELETEs\n5. **MEDIUM**: Add async tag removal with error handling - current goroutine silently fails\n\n---\n\nThese patterns show that while transaction support exists, it's **underutilized** in high-frequency write paths, particularly around tag management where multiple individual operations could be safely batched."},{"type":"text","text":"agentId: ae6e94e07c8dc030e (for resuming to continue this agent's work if needed)\n<usage>total_tokens: 81850\ntool_uses: 29\nduration_ms: 64839</usage>"}]}]},"uuid":"e4783a98-7be1-497b-bb9d-b9abe1032483","timestamp":"2026-03-16T10:19:56.245Z","toolUseResult":{"status":"completed","prompt":"Explore the cc-backend codebase for DB write patterns specifically around:\n\n1. **Tag operations** - AddTagOrCreate, adding tags to jobs. These are often called in loops (e.g., when starting a job with multiple tags). Check internal/repository/tags.go or similar files.\n\n2. **Job archiving writes** - What happens when a job is archived? Does it update the job table? Check internal/archiver/ for the archiving flow and what DB writes it does.\n\n3. **Job import/restore** - Check internal/importer/ for bulk import operations.\n\n4. **Energy footprint / statistics updates** - Any post-processing that updates job rows after archiving.\n\n5. **TransferCachedJobToMain** in internal/repository/jobCreate.go - this does INSERT + DELETE as separate operations. Could these be in a transaction?\n\nFor each pattern, identify if multiple individual writes could be combined into transactions or batch operations.\n\nAlso check internal/api/rest.go for the REST endpoint handlers (startJob, stopJob, etc.) to see their DB write patterns.","agentId":"ae6e94e07c8dc030e","content":[{"type":"text","text":"Perfect. Now I have enough information to provide a comprehensive analysis. Let me compile my findings:\n\n## DB Write Patterns Analysis - ClusterCockpit cc-backend\n\nBased on my thorough exploration of the codebase, I've identified several DB write patterns and opportunities for transaction-based optimization. Here's my detailed analysis:\n\n---\n\n## 1. TAG OPERATIONS - HIGH TRANSACTION OPPORTUNITY\n\n### Pattern: AddTagOrCreate (Internal/repository/tags.go:424)\nWhen adding tags to a job with multiple tags, each tag operation is **separate and non-transactional**:\n\n```\nstartJob() → for each tag {\n  → TagID lookup (SELECT)\n  → CreateTag (INSERT) if missing\n  → AddTag (INSERT into jobtag)\n  → GetTags (SELECT)\n  → archive.UpdateTags() (file write)\n}\n```\n\n**Current Issues:**\n- **Line 760-777** in `/internal/api/job.go`: When startJob is called with `req.Tags`, each tag is added individually via `AddTagOrCreate()` inside a loop\n- **Line 570-583** in `/internal/api/job.go`: tagJob endpoint adds multiple tags one-by-one with individual archive updates\n- **Lines 165-210** in `/internal/graph/schema.resolvers.go`: GraphQL AddTagsToJob loops through tag IDs, calling `AddTag()` for each without batching\n\n**Batch Potential:** ⭐⭐⭐⭐⭐ **HIGHEST**\n- A job with 5 tags = 5 separate transactions (INSERT + SELECT + archive write)\n- Could be batched into single transaction: 1 INSERT many jobtag + 1 archive write\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go`\n\n**addJobTag() helper (line 398):** Performs 3 operations per tag:\n1. INSERT into jobtag\n2. SELECT tags\n3. archive.UpdateTags() (file I/O)\n\n**AddTagOrCreate() (line 424):** Chains multiple operations:\n1. TagID lookup\n2. CreateTag if missing (conditional INSERT)\n3. AddTag (calls addJobTag, which does 3 more ops)\n\n---\n\n## 2. JOB ARCHIVING WRITES - MODERATE TRANSACTION OPPORTUNITY\n\n### Pattern: Archiving Workflow (archiveWorker in /internal/archiver/archiveWorker.go)\n\nWhen a job is archived, **3-4 separate UPDATE statements** execute sequentially:\n\n```\narchivingWorker() → for job in archiveChannel {\n  → FetchMetadata (SELECT)\n  → ArchiveJob() (file writes + calculations)\n  → UpdateFootprint (UPDATE)\n  → UpdateEnergy (UPDATE)  \n  → MarkArchived (UPDATE)\n  → Execute(stmt) (single UPDATE with 3 SET clauses)\n  → CallJobStopHooks()\n}\n```\n\n**Current Issues:**\n- **Lines 145-159** in `/internal/archiver/archiveWorker.go`: Three separate `.Set()` calls chained together but executed as ONE statement via `jobRepo.Execute(stmt)`\n- Actually **GOOD**: The code chains multiple SET operations into a single UPDATE via Squirrel builder pattern\n- However, the statement is still a single UPDATE - could be a transaction for safety\n\n**Transaction Benefit:** ⭐⭐⭐ **MODERATE**\n- Currently chains SETs into one UPDATE (good)\n- Could add transaction wrapper for atomicity guarantee\n- Already uses statement builder pattern to combine updates\n\n### Key Files:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go:145-163`\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:908-999` (UpdateEnergy, UpdateFootprint, MarkArchived, Execute)\n\n---\n\n## 3. JOB IMPORT/RESTORE - HIGH TRANSACTION OPPORTUNITY\n\n### Pattern: HandleImportFlag (internal/importer/handleImport.go:38)\n\nImports job metadata + tags without batching:\n\n```\nHandleImportFlag(flag) → for each job in flag {\n  → Read JSON files\n  → archive.ImportJob() (file write)\n  → InsertJobDirect (INSERT)\n  → for each tag in job.Tags {\n    → ImportTag() (SELECT + INSERT per tag)\n  }\n}\n```\n\n**Current Issues:**\n- **Lines 105-116** in `/internal/importer/handleImport.go`: \n  - 1 job INSERT per job\n  - N tag operations (SELECT + INSERT) per job\n  - No transaction wrapping job + all its tags\n  \n**Batch Potential:** ⭐⭐⭐⭐⭐ **HIGHEST**\n- If importing 100 jobs with 3 tags each = 100 INSERTs + 300 tag lookups/inserts\n- Could batch into transaction: INSERT 100 jobs + 300 tag associations in single txn\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go:111-116`\n\n---\n\n## 4. JOB CACHE TO MAIN TABLE TRANSFER - IDENTIFIED ISSUE\n\n### Pattern: TransferCachedJobToMain (internal/repository/jobCreate.go:143)\n\n**EXACT ISSUE YOU MENTIONED:**\n\n```go\n// TransferCachedJobToMain - Lines 143-162\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n    res, err := r.DB.Exec(\n        \"INSERT INTO job ... SELECT ... FROM job_cache WHERE id = ?\", cacheID)\n    if err != nil { return 0, ... }\n    \n    newID, err := res.LastInsertId()\n    if err != nil { return 0, ... }\n    \n    _, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)  // SEPARATE OPERATION\n    if err != nil { return 0, ... }\n    \n    return newID, nil\n}\n```\n\n**Issue:** ⚠️ **TWO SEPARATE EXEC CALLS**\n- Line 144-146: INSERT\n- Line 156: DELETE\n- No transaction wrapping both operations\n- **Risk:** If DELETE fails, job orphaned in main table and cache\n\n**Transaction Fix:** Wrap both operations in `tx.Beginx()` / `tx.Commit()`\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go:143-162`\n\n---\n\n## 5. JOB STOP WORKFLOW - MILD CONSOLIDATION OPPORTUNITY\n\n### Pattern: stopJobByRequest (internal/api/job.go:805)\n\nCalls `checkAndHandleStopJob()` which likely:\n1. Updates job state (Stop)\n2. Transfers from cache to main table (INSERT + DELETE as shown above)\n3. Triggers archiving\n\n**Issue:** Multiple separate repository calls that could be transactional\n\n### Key Files:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go:805-835`\n- The actual logic is in `checkAndHandleStopJob()` - would need to read that\n\n---\n\n## 6. TAG REMOVAL - DISTRIBUTED WRITES\n\n### Pattern: RemoveTagByID (internal/repository/tags.go:216)\n\n```go\n// RemoveTagByID - Lines 216-244\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n    jobIds, err := r.FindJobIdsByTag(tagID)  // SELECT all job IDs\n    \n    qJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n    if _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil { ... }\n    \n    qTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n    if _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil { ... }\n    \n    go r.removeTagFromArchiveJobs(jobIds)  // ASYNC goroutine\n    \n    return nil\n}\n```\n\n**Issues:**\n- **2 separate DELETE statements** (jobtag, then tag)\n- Could be 1 transaction\n- Archive updates run **asynchronously in goroutine** (line 241)\n- **Lines 183-199** show async archive updates without error handling\n\n**Transaction Opportunity:** ⭐⭐⭐ **MODERATE**\n- Can wrap 2 DELETEs in single transaction\n\n### Key Files:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go:216-244`\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go:183-199`\n\n---\n\n## 7. GRAPHQL TAG MUTATIONS - LOOP-BASED WRITES\n\n### Pattern: AddTagsToJob, RemoveTagsFromJob (internal/graph/schema.resolvers.go:166, 213)\n\n**Lines 179-207** and **Lines 226-255**:\n```go\nfor _, tagID := range tagIds {\n    // Lookup tag\n    _, _, tscope, exists := r.Repo.TagInfo(tid)\n    // Authorization check\n    // Add/Remove\n    if tags, err = r.Repo.AddTag(...); err != nil { ... }\n}\n```\n\n**Issue:**\n- **Loop per tag** with individual `AddTag()` or `RemoveTag()` calls\n- 5 tags = 5 separate database transactions with archive updates\n- Could batch into single transaction\n\n**Batch Potential:** ⭐⭐⭐⭐ **HIGH**\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go:165-210, 212-258`\n\n---\n\n## 8. NATS API - SEMAPHORE-PROTECTED WRITES\n\n### Pattern: NATS Job/Node event handlers (internal/api/nats.go)\n\nUses semaphores to limit concurrency:\n```go\ntype NatsAPI struct {\n    jobSem chan struct{} // capacity 8\n    nodeSem chan struct{} // capacity 2\n}\n\nfunc (api *NatsAPI) handleJobEvent(...) {\n    api.jobSem <- struct{}{}      // acquire semaphore\n    defer func() { <-api.jobSem }() // release\n    // ... process job (same write patterns as REST)\n}\n```\n\n**No Issues:** Semaphores are for concurrency control, not transactional. Underlying writes are same as REST API (non-transactional tag adds).\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:62-80, 147-148`\n\n---\n\n## 9. STATISTICS/ENERGY FOOTPRINT UPDATES - AGGREGATION-ONLY\n\n### Pattern: Stats queries (internal/repository/stats.go)\n\nAll **READ-ONLY** SELECT with aggregations. No write batching opportunities.\n\nKey observation: Post-archiving stats updates are computed by `UpdateFootprint()` and `UpdateEnergy()` which are already in a single UPDATE statement (item #2).\n\n---\n\n## TRANSACTION SUPPORT STATUS\n\n**Good news:** The codebase **already has transaction support**:\n\n### Available Transaction API (internal/repository/transaction.go):\n```go\ntype Transaction struct { tx *sqlx.Tx }\n\nfunc (r *JobRepository) TransactionInit() (*Transaction, error)\nfunc (t *Transaction) Commit() error\nfunc (t *Transaction) Rollback() error\nfunc (r *JobRepository) TransactionAddNamed(t *Transaction, query string, args ...any) (int64, error)\nfunc (r *JobRepository) TransactionAdd(t *Transaction, query string, args ...any) (int64, error)\n```\n\n**Currently used in:** `/internal/repository/jobCreate.go:96-120` (SyncJobs function uses `tx.Beginx()`)\n\n**Not used in:** Tag operations, individual archiving, import loops\n\n---\n\n## SUMMARY TABLE\n\n| Pattern | Location | Issue | Batch Potential | Transaction Support | Priority |\n|---------|----------|-------|-----------------|---------------------|----------|\n| AddTagOrCreate in loop | api/job.go:760-777, api/job.go:570-583 | 1 txn per tag | ⭐⭐⭐⭐⭐ | Exists | HIGH |\n| ImportTag per tag | importer/handleImport.go:111-116 | 1 txn per tag | ⭐⭐⭐⭐⭐ | Exists | HIGH |\n| TransferCachedJobToMain | repository/jobCreate.go:143-162 | INSERT + DELETE separate | ⭐⭐⭐⭐ | Exists | **CRITICAL** |\n| RemoveTagByID | repository/tags.go:216-244 | 2 separate DELETEs | ⭐⭐⭐ | Exists | MEDIUM |\n| GraphQL AddTagsToJob | graph/schema.resolvers.go:179-207 | 1 txn per tag | ⭐⭐⭐⭐ | Exists | HIGH |\n| Archiving updates | archiver/archiveWorker.go:145-163 | 3 SETs chained (OK) | ⭐⭐ | Already good | LOW |\n| Job stats queries | repository/stats.go | Read-only aggregations | N/A | N/A | N/A |\n\n---\n\n## RECOMMENDATIONS\n\n1. **CRITICAL**: Fix `TransferCachedJobToMain()` - wrap INSERT + DELETE in transaction\n2. **HIGH**: Batch tag operations in `tagJob()` and `AddTagsToJob()` - add `BatchAddTags()` method\n3. **HIGH**: Batch import tag operations - wrap job insert + all tags in single transaction\n4. **MEDIUM**: Consolidate `RemoveTagByID()` - use single transaction for both DELETEs\n5. **MEDIUM**: Add async tag removal with error handling - current goroutine silently fails\n\n---\n\nThese patterns show that while transaction support exists, it's **underutilized** in high-frequency write paths, particularly around tag management where multiple individual operations could be safely batched."}],"totalDurationMs":64839,"totalTokens":81850,"totalToolUseCount":29,"usage":{"input_tokens":5,"cache_creation_input_tokens":1906,"cache_read_input_tokens":76371,"output_tokens":3568,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1906},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"be9edc37-8b94-42c3-a207-56a1de047ced","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"a93c39ad-d6d5-4a49-a8dd-8b7086258ea9","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","type":"tool_result","content":[{"type":"text","text":"Excellent! Now I have comprehensive information. Let me compile my final report based on all the data I've gathered.\n\n---\n\n## COMPREHENSIVE DATABASE WRITE OPERATIONS ANALYSIS - cc-backend\n\nBased on my thorough exploration of the codebase, here is a complete inventory of all database WRITE operations organized by contention patterns and optimization opportunities:\n\n### SECTION 1: JOB LIFECYCLE WRITES (CRITICAL CONTENTION POINTS)\n\n#### 1.1 Job Start/Insert Operations\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `InsertJob()` (line 54-70) | NamedExec to job_cache | Per-request (REST/NATS) | Mutex-protected only | CONTENTION: Single insert per request, uses mutex not transactions |\n| `InsertJobDirect()` (line 36-52) | NamedExec to job table | Per-request (with tags) | Mutex-protected only | CONTENTION: Mutex serializes all tag insertions sequentially |\n| `Start()` (line 166-183) | Marshals then InsertJob | Per-request | Indirect (via InsertJob) | THREE writes: footprint + resources + metadata marshaling before DB write |\n| `StartDirect()` (line 188-205) | Marshals then InsertJobDirect | Per-request (with tags) | Indirect (via InsertJobDirect) | SAME: Three marshals before single DB insert |\n| `SyncJobs()` (line 72-139) | INSERT OR IGNORE + DELETE in transaction | Periodic (cache flush) | **Transactional** ✓ | Good: Batches cache-to-main table transfer, but job-cache is per-request |\n| `TransferCachedJobToMain()` (line 143-162) | INSERT + DELETE (separate) | Per-job transfer | **NOT in transaction** ✗ | **ISSUE**: Two separate Exec() calls without transaction - race condition risk |\n\n**Key Findings:**\n- Job inserts use coarse `Mutex` locking instead of transactions\n- Every job start with tags locks the entire JobRepository for the duration\n- `TransferCachedJobToMain()` has two separate writes without transactional guarantees\n\n#### 1.2 Job Stop/Update Operations\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `Stop()` (line 208-226) | UPDATE job SET state/duration/monitoring_status | Per job-stop | No transaction | Single update, but needs cache invalidation |\n| `UpdateMonitoringStatus()` (line 892-902) | UPDATE job SET monitoring_status | Archiving failures | No transaction | Called frequently during archiving errors |\n| `UpdateMetadata()` (line 268-306) | UPDATE job SET meta_data + archive.UpdateMetadata() | Per metadata edit | No transaction | Two writes: DB + archive file (potential inconsistency) |\n| `DeleteJobByID()` (line 470-477) | DELETE from job | On-demand cleanup | No transaction | Single delete but should cascade with jobtag |\n| `DeleteJobsBefore()` (line 399-461) | DELETE from job WHERE start_time < ? | Periodic cleanup | No transaction | Bulk delete (potentially thousands of rows) without transaction |\n\n#### 1.3 Footprint & Energy Updates\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `UpdateFootprint()` (line 1010-1045) | Builds UPDATE stmt (not executed) | Archiving, footprint service | Returns builder only | Caller must execute; no transaction wrapping |\n| `UpdateEnergy()` (line 960-999) | Builds UPDATE stmt (not executed) | Archiving, footprint service | Returns builder only | Caller must execute; no transaction wrapping |\n\n**Critical Issue:** These return unexecuted UPDATE builders, caller is responsible for execution:\n- Archiver calls both in sequence (archiveWorker.go line 147-152) - **2 separate statements**\n- updateFootprintService calls them per-job in a loop - **potential N separate statements**\n\n---\n\n### SECTION 2: NODE STATE WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `AddNode()` (line 182-197) | NamedExec INSERT node | On first state update | No transaction | Single insert, minimal issue |\n| `UpdateNodeState()` (line 208-245) | SELECT node, AddNode if missing, then NamedExec node_state | Per state update | No transaction | **CONTENTION**: Two writes (node + state) without transaction |\n| `BatchUpdateNodeStates()` (line 257-316) | **Transactional batch** | Per REST /api/nodestats | **YES - Full transaction** ✓ | **GOOD**: Entire batch in single transaction |\n| `DeleteNodeStatesBefore()` (line 383-396) | DELETE node_state WHERE time_stamp < ? | Periodic cleanup | No transaction | Bulk delete without transaction |\n\n**Key Finding:**\n- `BatchUpdateNodeStates()` is well-optimized (transaction + prepared statements)\n- But `UpdateNodeState()` is called per-request and NOT transactional (called from NATS)\n\n---\n\n### SECTION 3: USER MANAGEMENT WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `AddUser()` (line 126-189) | INSERT hpc_user + INSERT configuration (for each default cluster) | Per user creation | No transaction | **CONTENTION**: Loop with separate INSERT per cluster (lines 167-184) |\n| `AddUserIfNotExists()` (line 195-204) | INSERT OR IGNORE | LDAP sync/concurrent login | **Implicit safeguard** | Uses INSERT OR IGNORE for race condition safety |\n| `UpdateUser()` (line 206-276) | Multiple UPDATE calls in conditionals (lines 210-273) | Per admin user update | **NO - Separate calls** ✗ | **CONTENTION**: Each role/project change is separate UPDATE with no transaction |\n| `AddRole()` (line 336-363) | UPDATE hpc_user SET roles | Per admin request | No transaction | Single update |\n| `RemoveRole()` (line 370-404) | UPDATE hpc_user SET roles | Per admin request | No transaction | Single update |\n| `AddProject()` (line 412-436) | UPDATE hpc_user SET projects | Per admin request | No transaction | Single update |\n| `RemoveProject()` (line 438-476) | UPDATE hpc_user SET projects | Per admin request | No transaction | Single update |\n| `DelUser()` (line 278-286) | DELETE hpc_user | Per admin request | No transaction | Single delete |\n\n**Key Findings:**\n- `AddUser()` has implicit loop with N separate INSERTs for default metrics (deprecated code at line 162)\n- `UpdateUser()` has 4 separate UPDATE paths with no transaction (lines 210, 220, 227, 233, 245, 248, 256, 270)\n\n---\n\n### SECTION 4: TAG MANAGEMENT WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `CreateTag()` (line 255-271) | INSERT tag | Per unique tag | No transaction | Single insert, minimal contention |\n| `AddTag()` (line 73-83) | INSERT jobtag + archive.UpdateTags() | Per tag-job association | No transaction | **CONTENTION**: Two writes (DB + archive) without transaction |\n| `AddTagDirect()` (line 87-97) | Same as AddTag | From importer/batch | No transaction | Same issue |\n| `addJobTag()` (line 398-420) | INSERT jobtag + getTags callback + archive.UpdateTags() | Internal helper | No transaction | **THREE operations**: INSERT, SELECT, archive update |\n| `AddTagOrCreate()` (line 424-451) | CreateTag if missing, then AddTag | Per request | No transaction | Nested writes without transaction |\n| `RemoveTag()` (line 101-129) | DELETE jobtag + archive.UpdateTags() | Per tag removal | No transaction | **CONTENTION**: Two writes without transaction |\n| `RemoveTagByID()` (line 216-244) | DELETE jobtag + DELETE tag + async removeTagFromArchiveJobs | Per tag deletion | **Partial** ✗ | Two DB deletes OK, but async archive update has race condition |\n| `RemoveJobTagByRequest()` (line 133-170) | Same as RemoveTag | REST API path | No transaction | Two writes without transaction |\n| `ImportTag()` (line 620-640) | INSERT jobtag (after CreateTag checked) | Per import | No transaction | Single insert in loop |\n\n**Key Findings:**\n- Tag operations pair DB writes with archive file updates without transactions\n- `RemoveTagByID()` spawns goroutine (line 241) for archive update - potential race condition\n\n---\n\n### SECTION 5: USER CONFIG WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/userConfig.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `UpdateConfig()` (line 110-125) | REPLACE configuration | Per UI config change | No transaction | Single REPLACE, minimal contention |\n\n---\n\n### SECTION 6: ARCHIVER WRITES (BACKGROUND WORKER)\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| Archiving sequence (line 130-160) | UpdateMonitoringStatus (on error) + UpdateFootprint() + UpdateEnergy() + Exec | Per job archiving | **SEPARATE calls** ✗ | **CRITICAL**: UpdateFootprint/UpdateEnergy return builders, archiver executes 2 statements without transaction (lines 147-155) |\n\n**Critical Issue:**\n```\nstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\nstmt, err = jobRepo.UpdateFootprint(stmt, jobMeta)  // Modifies stmt\nif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta)  // Further modifies stmt\n// Only NOW is stmt.Exec() called - both updates in single statement\n// BUT UpdateMonitoringStatus() above is separate (line 130) = 2 separate writes\n```\n\n---\n\n### SECTION 7: IMPORTER WRITES (BULK OPERATIONS)\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/initDB.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `InitDB()` (line 49-154) | Batch 100 jobs per transaction | Startup/full reimport | **Transactional batches** ✓ | GOOD: Groups 100 INSERT + tag operations per transaction |\n| Job insert in batch | TransactionAddNamed for job | Per 100 jobs | Within transaction ✓ | OK |\n| Tag insert in batch | TransactionAdd for tag/jobtag | Per tag in job | Within transaction ✓ | OK |\n\n**Key Finding:**\n- `InitDB()` is well-optimized with batch transactions (100 jobs each)\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `HandleImportFlag()` (line 38-121) | Per-file: archive.ImportJob + InsertJobDirect + loop ImportTag | Per import file | **NO transaction** ✗ | **ISSUE**: Each imported job is separate (no batching), tags inserted one-by-one |\n\n---\n\n### SECTION 8: REST API WRITES (internal/api)\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `startJob()` (REST POST /api/jobs/) | Start/tag write sequence | Per REST request | Caller handles via NATS/archiver | Delegates to repository |\n| `stopJob()` (REST POST /api/jobs/stop/) | Stop + UpdateMonitoringStatus | Per REST request | Separate calls | Job.Stop() + archiver trigger |\n| `editMeta()` (PATCH /api/jobs/edit_meta/{id}) | UpdateMetadata() | Per edit request | No transaction | Single DB write + archive |\n| `deleteJob()` | DeleteJobByID() | Per admin request | No transaction | Single delete |\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/user.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `updateUser()` (line 76-128) | AddRole/RemoveRole/AddProject/RemoveProject conditionally | Per admin request | **NO transaction** ✗ | Each operation is separate UPDATE call (lines 94, 102, 110, 118) |\n| `createUser()` (line 147-193) | AddUser (with deprecated metric config loop) | Per user creation | No transaction | Delegates to repository |\n\n**Key Finding:**\n- API handlers directly call repository methods without batching\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `updateNodeStates()` (line 71-150) | BatchUpdateNodeStates() | Per REST /api/nodestats | **YES** ✓ | GOOD: Already using batch transaction wrapper |\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `handleStartJob()` (line 180-247) | Start/tag sequence + RepositoryMutex | Per NATS job.start message | Mutex + conditional | Serializes duplicate checks across all job starts |\n| `handleStopJob()` (line 252-300+) | Stop + monitoring status | Per NATS job.stop message | No transaction | Separate calls |\n\n**Key Finding:**\n- `handleStartJob()` uses coarse `RepositoryMutex` for all job starts (limits concurrency to 1)\n\n---\n\n## SECTION 9: TRANSACTION SUPPORT INFRASTRUCTURE\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/transaction.go`\n\n| Operation | Pattern | Available | Used | Issue |\n|-----------|---------|-----------|------|-------|\n| `TransactionInit()` | Begin transaction | YES | ✓ InitDB only | Underutilized outside of initialization |\n| `TransactionAdd()` | Exec within tx | YES | ✓ InitDB only | Not used in REST/NATS handlers |\n| `TransactionAddNamed()` | NamedExec within tx | YES | ✓ InitDB only | Designed for batch but only used in InitDB |\n| `Commit()` / `Rollback()` | Standard tx control | YES | ✓ | Available but not used in hot paths |\n\n---\n\n## HIGH-PRIORITY CONTENTION ISSUES\n\n### **CRITICAL (P0):**\n\n1. **Job Start Serialization** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:206`\n   - `RepositoryMutex.Lock()` serializes ALL concurrent job starts\n   - Limits throughput to single job start at a time\n   - Held during duplicate check + tag operations\n   - **Impact:** NATS job start concurrency = 1\n\n2. **TransferCachedJobToMain Race Condition** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go:143-162`\n   - INSERT + DELETE are separate `Exec()` calls\n   - No transaction between them\n   - If process crashes between INSERT and DELETE, job_cache row orphaned\n   - **Impact:** Data loss / inconsistency risk during transfers\n\n3. **Tag Operations Without Transactions** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go`\n   - `AddTag()`: DB INSERT jobtag + archive.UpdateTags() separate\n   - `RemoveTag()`: DB DELETE jobtag + archive.UpdateTags() separate  \n   - `RemoveTagByID()`: spawns async goroutine for archive (race condition)\n   - **Impact:** DB-archive inconsistency if either fails mid-operation\n\n4. **Archiver Multiple Separate Updates** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go:130,147-155`\n   - UpdateMonitoringStatus (line 130) = separate write\n   - UpdateFootprint + UpdateEnergy (lines 147-155) = combined in single statement\n   - But if footprint fails, energy never updated\n   - **Impact:** Incomplete job archiving data\n\n### **HIGH (P1):**\n\n5. **UpdateUser Without Transaction** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go:206-276`\n   - 4 separate UPDATE paths, no transaction\n   - If admin modifies role+project, inconsistent state if second fails\n   - **Impact:** User permission inconsistencies\n\n6. **AddUser Deprecated Loop** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go:167-184`\n   - Loop with separate INSERT per cluster\n   - Code marked DEPRECATED but still runs\n   - **Impact:** N separate writes per user creation\n\n7. **HandleImportFlag No Batching** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go:38-121`\n   - Each imported job is individual (no transaction)\n   - Loop of InsertJobDirect + ImportTag calls\n   - **Impact:** No batch optimization for bulk imports\n\n8. **DeleteJobsBefore Bulk Without Transaction** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:399-461`\n   - DELETE from job WHERE start_time < ?\n   - Potentially thousands of rows, single statement but no transaction\n   - If cascades fail, inconsistent state\n   - **Impact:** Data integrity during bulk cleanup\n\n9. **UpdateMetadata Split Write** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:268-306`\n   - DB UPDATE + archive.UpdateMetadata() separate\n   - No transaction\n   - **Impact:** DB-archive inconsistency on failure\n\n10. **REST API User Updates Serialize** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/user.go:76-128`\n    - Each role/project operation is separate REST handler call\n    - updateUser() itself calls single repository method per request\n    - **Impact:** User sees 4 separate state changes if adding role+project\n\n---\n\n## SUMMARY TABLE - WRITE OPERATIONS BY CONTENTION RISK\n\n| Component | Location | Writes/Batch | Transaction | Frequency | Risk Level |\n|-----------|----------|--------------|-------------|-----------|-----------|\n| Job Start (NATS) | nats.go:206 | 1-2 (job+tags) | **Mutex-only** | Per job start | **CRITICAL** |\n| Job Start (REST) | jobCreate.go | 1-2 (job+tags) | Mutex-only | Per job start | CRITICAL |\n| TransferCachedJobToMain | jobCreate.go:144,156 | 2 (INSERT+DELETE) | **None** | Cache flush | **CRITICAL** |\n| Tag Add/Remove | tags.go | 2 (DB+archive) | None | Per tag op | **HIGH** |\n| User Update | user.go:206 | 4 (separate UPDATEs) | None | Per admin update | **HIGH** |\n| Node State (batch) | node.go:257 | N (batched) | **Transaction** ✓ | Per REST request | LOW |\n| InitDB Import | initDB.go | 100 (batched) | **Transaction** ✓ | Startup | LOW |\n| Job Archive | archiveWorker.go | 3 (separate) | Partial ✗ | Per job archive | **HIGH** |\n\n---\n\n## RECOMMENDATIONS FOR OPTIMIZATION\n\n1. **Replace Mutex with Transactions** for job start operations\n2. **Batch TagOps** into single transaction for add/remove\n3. **Transactionalize** UpdateUser role/project changes\n4. **Wrap Archiver** updates in single transaction\n5. **Add Transactional Batching** to HandleImportFlag\n6. **Fix TransferCachedJobToMain** race by moving to transaction\n7. **Remove Deprecated User Config Loop** in AddUser\n\nAll paths are now documented with specific file paths, line numbers, and actionable issues."},{"type":"text","text":"agentId: ab0b0e624428f5b1f (for resuming to continue this agent's work if needed)\n<usage>total_tokens: 120521\ntool_uses: 32\nduration_ms: 81558</usage>"}]}]},"uuid":"a337a0bd-8ef5-4b12-8203-5819f98796af","timestamp":"2026-03-16T10:20:01.529Z","toolUseResult":{"status":"completed","prompt":"Explore the cc-backend codebase for all database WRITE operations (INSERT, UPDATE, DELETE, Exec, NamedExec) that could cause SQLite write contention. I need to find patterns that are:\n\n1. Called frequently or in loops without transactions\n2. Multiple separate writes that could be batched into a single transaction\n3. Write operations triggered by external events (REST handlers, scheduled tasks, archiving)\n\nFocus on these directories:\n- internal/repository/ (all .go files)\n- internal/api/ (all .go files)  \n- internal/archiver/\n- internal/importer/\n\nFor each write operation found, note:\n- The function name and file path\n- Whether it's already in a transaction\n- How frequently it's likely called (per-request, per-job, periodic, etc.)\n- Whether multiple writes happen in sequence that could be batched\n\nBe very thorough - check every .go file in these directories. Skip test files.","agentId":"ab0b0e624428f5b1f","content":[{"type":"text","text":"Excellent! Now I have comprehensive information. Let me compile my final report based on all the data I've gathered.\n\n---\n\n## COMPREHENSIVE DATABASE WRITE OPERATIONS ANALYSIS - cc-backend\n\nBased on my thorough exploration of the codebase, here is a complete inventory of all database WRITE operations organized by contention patterns and optimization opportunities:\n\n### SECTION 1: JOB LIFECYCLE WRITES (CRITICAL CONTENTION POINTS)\n\n#### 1.1 Job Start/Insert Operations\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `InsertJob()` (line 54-70) | NamedExec to job_cache | Per-request (REST/NATS) | Mutex-protected only | CONTENTION: Single insert per request, uses mutex not transactions |\n| `InsertJobDirect()` (line 36-52) | NamedExec to job table | Per-request (with tags) | Mutex-protected only | CONTENTION: Mutex serializes all tag insertions sequentially |\n| `Start()` (line 166-183) | Marshals then InsertJob | Per-request | Indirect (via InsertJob) | THREE writes: footprint + resources + metadata marshaling before DB write |\n| `StartDirect()` (line 188-205) | Marshals then InsertJobDirect | Per-request (with tags) | Indirect (via InsertJobDirect) | SAME: Three marshals before single DB insert |\n| `SyncJobs()` (line 72-139) | INSERT OR IGNORE + DELETE in transaction | Periodic (cache flush) | **Transactional** ✓ | Good: Batches cache-to-main table transfer, but job-cache is per-request |\n| `TransferCachedJobToMain()` (line 143-162) | INSERT + DELETE (separate) | Per-job transfer | **NOT in transaction** ✗ | **ISSUE**: Two separate Exec() calls without transaction - race condition risk |\n\n**Key Findings:**\n- Job inserts use coarse `Mutex` locking instead of transactions\n- Every job start with tags locks the entire JobRepository for the duration\n- `TransferCachedJobToMain()` has two separate writes without transactional guarantees\n\n#### 1.2 Job Stop/Update Operations\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `Stop()` (line 208-226) | UPDATE job SET state/duration/monitoring_status | Per job-stop | No transaction | Single update, but needs cache invalidation |\n| `UpdateMonitoringStatus()` (line 892-902) | UPDATE job SET monitoring_status | Archiving failures | No transaction | Called frequently during archiving errors |\n| `UpdateMetadata()` (line 268-306) | UPDATE job SET meta_data + archive.UpdateMetadata() | Per metadata edit | No transaction | Two writes: DB + archive file (potential inconsistency) |\n| `DeleteJobByID()` (line 470-477) | DELETE from job | On-demand cleanup | No transaction | Single delete but should cascade with jobtag |\n| `DeleteJobsBefore()` (line 399-461) | DELETE from job WHERE start_time < ? | Periodic cleanup | No transaction | Bulk delete (potentially thousands of rows) without transaction |\n\n#### 1.3 Footprint & Energy Updates\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `UpdateFootprint()` (line 1010-1045) | Builds UPDATE stmt (not executed) | Archiving, footprint service | Returns builder only | Caller must execute; no transaction wrapping |\n| `UpdateEnergy()` (line 960-999) | Builds UPDATE stmt (not executed) | Archiving, footprint service | Returns builder only | Caller must execute; no transaction wrapping |\n\n**Critical Issue:** These return unexecuted UPDATE builders, caller is responsible for execution:\n- Archiver calls both in sequence (archiveWorker.go line 147-152) - **2 separate statements**\n- updateFootprintService calls them per-job in a loop - **potential N separate statements**\n\n---\n\n### SECTION 2: NODE STATE WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `AddNode()` (line 182-197) | NamedExec INSERT node | On first state update | No transaction | Single insert, minimal issue |\n| `UpdateNodeState()` (line 208-245) | SELECT node, AddNode if missing, then NamedExec node_state | Per state update | No transaction | **CONTENTION**: Two writes (node + state) without transaction |\n| `BatchUpdateNodeStates()` (line 257-316) | **Transactional batch** | Per REST /api/nodestats | **YES - Full transaction** ✓ | **GOOD**: Entire batch in single transaction |\n| `DeleteNodeStatesBefore()` (line 383-396) | DELETE node_state WHERE time_stamp < ? | Periodic cleanup | No transaction | Bulk delete without transaction |\n\n**Key Finding:**\n- `BatchUpdateNodeStates()` is well-optimized (transaction + prepared statements)\n- But `UpdateNodeState()` is called per-request and NOT transactional (called from NATS)\n\n---\n\n### SECTION 3: USER MANAGEMENT WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `AddUser()` (line 126-189) | INSERT hpc_user + INSERT configuration (for each default cluster) | Per user creation | No transaction | **CONTENTION**: Loop with separate INSERT per cluster (lines 167-184) |\n| `AddUserIfNotExists()` (line 195-204) | INSERT OR IGNORE | LDAP sync/concurrent login | **Implicit safeguard** | Uses INSERT OR IGNORE for race condition safety |\n| `UpdateUser()` (line 206-276) | Multiple UPDATE calls in conditionals (lines 210-273) | Per admin user update | **NO - Separate calls** ✗ | **CONTENTION**: Each role/project change is separate UPDATE with no transaction |\n| `AddRole()` (line 336-363) | UPDATE hpc_user SET roles | Per admin request | No transaction | Single update |\n| `RemoveRole()` (line 370-404) | UPDATE hpc_user SET roles | Per admin request | No transaction | Single update |\n| `AddProject()` (line 412-436) | UPDATE hpc_user SET projects | Per admin request | No transaction | Single update |\n| `RemoveProject()` (line 438-476) | UPDATE hpc_user SET projects | Per admin request | No transaction | Single update |\n| `DelUser()` (line 278-286) | DELETE hpc_user | Per admin request | No transaction | Single delete |\n\n**Key Findings:**\n- `AddUser()` has implicit loop with N separate INSERTs for default metrics (deprecated code at line 162)\n- `UpdateUser()` has 4 separate UPDATE paths with no transaction (lines 210, 220, 227, 233, 245, 248, 256, 270)\n\n---\n\n### SECTION 4: TAG MANAGEMENT WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `CreateTag()` (line 255-271) | INSERT tag | Per unique tag | No transaction | Single insert, minimal contention |\n| `AddTag()` (line 73-83) | INSERT jobtag + archive.UpdateTags() | Per tag-job association | No transaction | **CONTENTION**: Two writes (DB + archive) without transaction |\n| `AddTagDirect()` (line 87-97) | Same as AddTag | From importer/batch | No transaction | Same issue |\n| `addJobTag()` (line 398-420) | INSERT jobtag + getTags callback + archive.UpdateTags() | Internal helper | No transaction | **THREE operations**: INSERT, SELECT, archive update |\n| `AddTagOrCreate()` (line 424-451) | CreateTag if missing, then AddTag | Per request | No transaction | Nested writes without transaction |\n| `RemoveTag()` (line 101-129) | DELETE jobtag + archive.UpdateTags() | Per tag removal | No transaction | **CONTENTION**: Two writes without transaction |\n| `RemoveTagByID()` (line 216-244) | DELETE jobtag + DELETE tag + async removeTagFromArchiveJobs | Per tag deletion | **Partial** ✗ | Two DB deletes OK, but async archive update has race condition |\n| `RemoveJobTagByRequest()` (line 133-170) | Same as RemoveTag | REST API path | No transaction | Two writes without transaction |\n| `ImportTag()` (line 620-640) | INSERT jobtag (after CreateTag checked) | Per import | No transaction | Single insert in loop |\n\n**Key Findings:**\n- Tag operations pair DB writes with archive file updates without transactions\n- `RemoveTagByID()` spawns goroutine (line 241) for archive update - potential race condition\n\n---\n\n### SECTION 5: USER CONFIG WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/userConfig.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `UpdateConfig()` (line 110-125) | REPLACE configuration | Per UI config change | No transaction | Single REPLACE, minimal contention |\n\n---\n\n### SECTION 6: ARCHIVER WRITES (BACKGROUND WORKER)\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| Archiving sequence (line 130-160) | UpdateMonitoringStatus (on error) + UpdateFootprint() + UpdateEnergy() + Exec | Per job archiving | **SEPARATE calls** ✗ | **CRITICAL**: UpdateFootprint/UpdateEnergy return builders, archiver executes 2 statements without transaction (lines 147-155) |\n\n**Critical Issue:**\n```\nstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\nstmt, err = jobRepo.UpdateFootprint(stmt, jobMeta)  // Modifies stmt\nif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta)  // Further modifies stmt\n// Only NOW is stmt.Exec() called - both updates in single statement\n// BUT UpdateMonitoringStatus() above is separate (line 130) = 2 separate writes\n```\n\n---\n\n### SECTION 7: IMPORTER WRITES (BULK OPERATIONS)\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/initDB.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `InitDB()` (line 49-154) | Batch 100 jobs per transaction | Startup/full reimport | **Transactional batches** ✓ | GOOD: Groups 100 INSERT + tag operations per transaction |\n| Job insert in batch | TransactionAddNamed for job | Per 100 jobs | Within transaction ✓ | OK |\n| Tag insert in batch | TransactionAdd for tag/jobtag | Per tag in job | Within transaction ✓ | OK |\n\n**Key Finding:**\n- `InitDB()` is well-optimized with batch transactions (100 jobs each)\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `HandleImportFlag()` (line 38-121) | Per-file: archive.ImportJob + InsertJobDirect + loop ImportTag | Per import file | **NO transaction** ✗ | **ISSUE**: Each imported job is separate (no batching), tags inserted one-by-one |\n\n---\n\n### SECTION 8: REST API WRITES (internal/api)\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `startJob()` (REST POST /api/jobs/) | Start/tag write sequence | Per REST request | Caller handles via NATS/archiver | Delegates to repository |\n| `stopJob()` (REST POST /api/jobs/stop/) | Stop + UpdateMonitoringStatus | Per REST request | Separate calls | Job.Stop() + archiver trigger |\n| `editMeta()` (PATCH /api/jobs/edit_meta/{id}) | UpdateMetadata() | Per edit request | No transaction | Single DB write + archive |\n| `deleteJob()` | DeleteJobByID() | Per admin request | No transaction | Single delete |\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/user.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `updateUser()` (line 76-128) | AddRole/RemoveRole/AddProject/RemoveProject conditionally | Per admin request | **NO transaction** ✗ | Each operation is separate UPDATE call (lines 94, 102, 110, 118) |\n| `createUser()` (line 147-193) | AddUser (with deprecated metric config loop) | Per user creation | No transaction | Delegates to repository |\n\n**Key Finding:**\n- API handlers directly call repository methods without batching\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `updateNodeStates()` (line 71-150) | BatchUpdateNodeStates() | Per REST /api/nodestats | **YES** ✓ | GOOD: Already using batch transaction wrapper |\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `handleStartJob()` (line 180-247) | Start/tag sequence + RepositoryMutex | Per NATS job.start message | Mutex + conditional | Serializes duplicate checks across all job starts |\n| `handleStopJob()` (line 252-300+) | Stop + monitoring status | Per NATS job.stop message | No transaction | Separate calls |\n\n**Key Finding:**\n- `handleStartJob()` uses coarse `RepositoryMutex` for all job starts (limits concurrency to 1)\n\n---\n\n## SECTION 9: TRANSACTION SUPPORT INFRASTRUCTURE\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/transaction.go`\n\n| Operation | Pattern | Available | Used | Issue |\n|-----------|---------|-----------|------|-------|\n| `TransactionInit()` | Begin transaction | YES | ✓ InitDB only | Underutilized outside of initialization |\n| `TransactionAdd()` | Exec within tx | YES | ✓ InitDB only | Not used in REST/NATS handlers |\n| `TransactionAddNamed()` | NamedExec within tx | YES | ✓ InitDB only | Designed for batch but only used in InitDB |\n| `Commit()` / `Rollback()` | Standard tx control | YES | ✓ | Available but not used in hot paths |\n\n---\n\n## HIGH-PRIORITY CONTENTION ISSUES\n\n### **CRITICAL (P0):**\n\n1. **Job Start Serialization** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:206`\n   - `RepositoryMutex.Lock()` serializes ALL concurrent job starts\n   - Limits throughput to single job start at a time\n   - Held during duplicate check + tag operations\n   - **Impact:** NATS job start concurrency = 1\n\n2. **TransferCachedJobToMain Race Condition** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go:143-162`\n   - INSERT + DELETE are separate `Exec()` calls\n   - No transaction between them\n   - If process crashes between INSERT and DELETE, job_cache row orphaned\n   - **Impact:** Data loss / inconsistency risk during transfers\n\n3. **Tag Operations Without Transactions** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go`\n   - `AddTag()`: DB INSERT jobtag + archive.UpdateTags() separate\n   - `RemoveTag()`: DB DELETE jobtag + archive.UpdateTags() separate  \n   - `RemoveTagByID()`: spawns async goroutine for archive (race condition)\n   - **Impact:** DB-archive inconsistency if either fails mid-operation\n\n4. **Archiver Multiple Separate Updates** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go:130,147-155`\n   - UpdateMonitoringStatus (line 130) = separate write\n   - UpdateFootprint + UpdateEnergy (lines 147-155) = combined in single statement\n   - But if footprint fails, energy never updated\n   - **Impact:** Incomplete job archiving data\n\n### **HIGH (P1):**\n\n5. **UpdateUser Without Transaction** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go:206-276`\n   - 4 separate UPDATE paths, no transaction\n   - If admin modifies role+project, inconsistent state if second fails\n   - **Impact:** User permission inconsistencies\n\n6. **AddUser Deprecated Loop** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go:167-184`\n   - Loop with separate INSERT per cluster\n   - Code marked DEPRECATED but still runs\n   - **Impact:** N separate writes per user creation\n\n7. **HandleImportFlag No Batching** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go:38-121`\n   - Each imported job is individual (no transaction)\n   - Loop of InsertJobDirect + ImportTag calls\n   - **Impact:** No batch optimization for bulk imports\n\n8. **DeleteJobsBefore Bulk Without Transaction** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:399-461`\n   - DELETE from job WHERE start_time < ?\n   - Potentially thousands of rows, single statement but no transaction\n   - If cascades fail, inconsistent state\n   - **Impact:** Data integrity during bulk cleanup\n\n9. **UpdateMetadata Split Write** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:268-306`\n   - DB UPDATE + archive.UpdateMetadata() separate\n   - No transaction\n   - **Impact:** DB-archive inconsistency on failure\n\n10. **REST API User Updates Serialize** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/user.go:76-128`\n    - Each role/project operation is separate REST handler call\n    - updateUser() itself calls single repository method per request\n    - **Impact:** User sees 4 separate state changes if adding role+project\n\n---\n\n## SUMMARY TABLE - WRITE OPERATIONS BY CONTENTION RISK\n\n| Component | Location | Writes/Batch | Transaction | Frequency | Risk Level |\n|-----------|----------|--------------|-------------|-----------|-----------|\n| Job Start (NATS) | nats.go:206 | 1-2 (job+tags) | **Mutex-only** | Per job start | **CRITICAL** |\n| Job Start (REST) | jobCreate.go | 1-2 (job+tags) | Mutex-only | Per job start | CRITICAL |\n| TransferCachedJobToMain | jobCreate.go:144,156 | 2 (INSERT+DELETE) | **None** | Cache flush | **CRITICAL** |\n| Tag Add/Remove | tags.go | 2 (DB+archive) | None | Per tag op | **HIGH** |\n| User Update | user.go:206 | 4 (separate UPDATEs) | None | Per admin update | **HIGH** |\n| Node State (batch) | node.go:257 | N (batched) | **Transaction** ✓ | Per REST request | LOW |\n| InitDB Import | initDB.go | 100 (batched) | **Transaction** ✓ | Startup | LOW |\n| Job Archive | archiveWorker.go | 3 (separate) | Partial ✗ | Per job archive | **HIGH** |\n\n---\n\n## RECOMMENDATIONS FOR OPTIMIZATION\n\n1. **Replace Mutex with Transactions** for job start operations\n2. **Batch TagOps** into single transaction for add/remove\n3. **Transactionalize** UpdateUser role/project changes\n4. **Wrap Archiver** updates in single transaction\n5. **Add Transactional Batching** to HandleImportFlag\n6. **Fix TransferCachedJobToMain** race by moving to transaction\n7. **Remove Deprecated User Config Loop** in AddUser\n\nAll paths are now documented with specific file paths, line numbers, and actionable issues."}],"totalDurationMs":81558,"totalTokens":120521,"totalToolUseCount":32,"usage":{"input_tokens":4,"cache_creation_input_tokens":3553,"cache_read_input_tokens":111500,"output_tokens":5464,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":3553},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"a93c39ad-d6d5-4a49-a8dd-8b7086258ea9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"f0935097-6b79-44e4-81d4-4ce525f0f4f3","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MKZPCCebdvpFXikwtfC4E6","type":"tool_result","content":[{"type":"text","text":"Perfect! Now I have gathered comprehensive information. Let me create a detailed summary of all the findings.\n\n## Summary Report: Periodic/Scheduled Tasks and Background Goroutines in cc-backend\n\nI've completed a comprehensive exploration of the cc-backend codebase to identify all periodic/scheduled tasks and background goroutines that write to SQLite. Here's the complete findings:\n\n---\n\n### **TASK MANAGER (gocron-based scheduler)**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/`\n\nThe main scheduler is initialized in `main.go` line 374:\n```go\ntaskmanager.Start(ccconf.GetPackageConfig(\"cron\"), ccconf.GetPackageConfig(\"archive\"))\n```\n\n#### **1. Commit Job Service (commitJobService.go)**\n- **Frequency:** Default 2 minutes (configurable via `commit-job-worker`)\n- **DB Operation:** `jobRepo.SyncJobs()` + callback hooks\n- **Type:** Duration-based job (gocron.DurationJob)\n- **Batching:** Handled via SyncJobs() call\n- **Details:** Syncs job cache and triggers job start hooks\n\n#### **2. Update Duration Worker (updateDurationService.go)**\n- **Frequency:** Default 5 minutes (configurable via `duration-worker`)\n- **DB Operation:** `jobRepo.UpdateDuration()`\n- **Type:** Duration-based job\n- **Batching:** Single call, likely batches updates internally\n- **Details:** Updates job duration fields in DB\n\n#### **3. Footprint Update Worker (updateFootprintService.go)**\n- **Frequency:** Default 10 minutes (configurable via `footprint-worker`)\n- **DB Operation:** Multiple per-cluster database updates using transactions\n  - Uses `jobRepo.TransactionInit()`, `jobRepo.TransactionAdd()`, `jobRepo.TransactionEnd()`\n  - Updates job statistics (avg/min/max) for running jobs\n- **Batching:** Proper transaction batching per cluster\n- **Details:** \n  - Iterates through all clusters and running jobs\n  - Loads metrics from metric stores\n  - Builds UPDATE statements and batches them per cluster\n  - Uses transactions to apply all updates atomically\n\n#### **4. Stop Jobs Exceeding Walltime (stopJobsExceedTime.go)**\n- **Frequency:** Daily at 3:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.StopJobsExceedingWalltimeBy(duration)` + GC\n- **Type:** Daily job (gocron.DailyJob)\n- **Batching:** Handled internally by repository function\n- **Conditional:** Only runs if `config.Keys.StopJobsExceedingWalltime > 0`\n\n#### **5. Retention Delete Service (retentionService.go)**\n- **Frequency:** Daily at 3:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.FindJobsBetween()` + `jobRepo.DeleteJobsBefore()` + `jobRepo.Optimize()`\n- **Type:** Daily job\n- **Batching:** Deletes are batched via `DeleteJobsBefore()`\n- **Conditional:** Only if retention policy = \"delete\"\n- **Details:** Deletes archived jobs older than configured age\n\n#### **6. Retention Copy Service (retentionService.go)**\n- **Frequency:** Daily at 4:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.FindJobsBetween()` (no DB writes, only archive operations)\n- **Type:** Daily job\n- **Conditional:** Only if retention policy = \"copy\"\n- **Details:** Copies jobs to secondary backend without DB deletions\n\n#### **7. Retention Move Service (retentionService.go)**\n- **Frequency:** Daily at 5:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.FindJobsBetween()` + `jobRepo.DeleteJobsBefore()` + `jobRepo.Optimize()`\n- **Type:** Daily job\n- **Batching:** Deletes are batched\n- **Conditional:** Only if retention policy = \"move\"\n- **Details:** Moves jobs to secondary backend then deletes from DB\n\n#### **8. Compression Service (compressionService.go)**\n- **Frequency:** Daily at 5:00 AM (hardcoded, conflicts with move service)\n- **DB Operation:** `jobRepo.FindJobsBetween()` (no DB writes, only archive compression)\n- **Type:** Daily job\n- **Details:** Compresses old archived jobs\n- **Always enabled:** Even without explicit retention config\n\n#### **9. LDAP Sync Service (ldapSyncService.go)**\n- **Frequency:** Configurable via `LdapConfig.SyncInterval`\n- **DB Operation:** `auth.LdapAuth.Sync()` (user table updates, not job-related)\n- **Type:** Duration-based job\n- **Conditional:** Only if LDAP is configured\n\n#### **10. Node State Retention Delete Service (nodestateRetentionService.go)**\n- **Frequency:** Daily at 2:00 AM (hardcoded)\n- **DB Operation:** `nodeRepo.DeleteNodeStatesBefore(cutoff)`\n- **Type:** Daily job\n- **Conditional:** Only if `config.Keys.NodeStateRetention.Policy == \"delete\"`\n- **Details:** Deletes node state records older than configured age (default 24 hours)\n\n#### **11. Node State Retention Move Service (nodestateRetentionService.go)**\n- **Frequency:** Daily at 2:30 AM (hardcoded)\n- **DB Operation:** `nodeRepo.FindNodeStatesBefore()` + `nodeRepo.DeleteNodeStatesBefore()`\n- **Type:** Daily job\n- **Conditional:** Only if `config.Keys.NodeStateRetention.Policy == \"move\"`\n- **Details:** Archives node states to Parquet then deletes from DB\n\n---\n\n### **METRIC STORE BACKGROUND WORKERS**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/`\n\nInitialized in `main.go` line 343:\n```go\nmetricstore.Init(mscfg, metrics, &wg)\n```\n\nThese goroutines run concurrently and handle metric data persistence. **Note: These do NOT directly write to the SQLite job/node database, but they handle metric checkpoint persistence to disk.**\n\n#### **1. Checkpointing Worker (checkpoint.go:94)**\n- **Frequency:** 12 hours (default, configurable via `checkpoint-interval`)\n- **Operation:** Periodic metric data checkpoints to JSON or binary WAL format\n- **Type:** Duration-based ticker\n- **Details:**\n  - Saves in-memory metric buffers to disk\n  - Two formats: JSON (human-readable) or WAL+binary (crash-safe)\n  - Uses worker pool with `Keys.NumWorkers` (default: min(CPU/2+1, 10))\n  - Rotates WAL files after successful checkpoint\n\n#### **2. WAL Staging Worker (walCheckpoint.go:118)**\n- **Frequency:** Continuous (processes messages from channel)\n- **Operation:** Writes individual metric entries to write-ahead logs\n- **Type:** Channel-based message processor\n- **Details:**\n  - Processes `WALMessages` channel (from line protocol ingestion)\n  - Writes binary WAL records to per-host WAL files\n  - Manages file handles for efficient buffering\n  - Handles WAL rotation on command\n\n#### **3. Retention Worker (metricstore.go:320)**\n- **Frequency:** Half of `Keys.RetentionInMemory` interval\n- **Operation:** Frees in-memory metric buffers older than retention period\n- **Type:** Duration-based ticker\n- **Details:**\n  - Calls `Free(ms, t)` to remove old data from memory\n  - Cleans buffer pool with `bufferPool.Clean()`\n  - Does NOT write to SQLite, only memory management\n\n#### **4. Cleanup Worker (archive.go:23)**\n- **Frequency:** `Keys.RetentionInMemory` interval\n- **Operation:** Either archives or deletes old checkpoint files\n- **Type:** Duration-based ticker\n- **Modes:** \n  - \"archive\": Moves old checkpoint files to Parquet format\n  - \"delete\": Deletes old checkpoint files\n- **Details:**\n  - Uses worker pool for parallel processing\n  - Supports both local filesystem and S3 targets\n  - Runs daily cleanup job\n\n#### **5. Memory Usage Tracker (metricstore.go:383)**\n- **Frequency:** `DefaultMemoryUsageTrackerInterval` (appears to be 5-10 min based on code)\n- **Operation:** Monitors memory usage, force-frees buffers if exceeding cap\n- **Type:** Duration-based ticker\n- **Details:**\n  - Checks `runtime.MemStats.Alloc`\n  - Force-frees buffers if memory cap exceeded\n  - Calls `debug.FreeOSMemory()` to return memory to OS\n  - Does NOT write to SQLite\n\n---\n\n### **ARCHIVER BACKGROUND WORKER**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go`\n\n**Initialization:** `main.go` line 373:\n```go\narchiver.Start(repository.GetJobRepository(), ctx)\n```\n\n#### **Archiving Worker (archiveWorker.go:110)**\n- **Frequency:** On-demand (triggered by `TriggerArchiving()` calls)\n- **DB Operations:**\n  - `jobRepo.FetchMetadata(job)` - read\n  - `ArchiveJob(job, ctx)` - archive to external storage\n  - `jobRepo.UpdateFootprint(stmt, jobMeta)` - **writes**\n  - `jobRepo.UpdateEnergy(stmt, jobMeta)` - **writes**\n  - `jobRepo.MarkArchived(stmt, status)` - **writes**\n  - `jobRepo.Execute(stmt)` - executes composite update\n- **Type:** Channel-based consumer (buffered channel, capacity 128)\n- **Batching:** Single UPDATE statement with multiple SET clauses\n- **Trigger Points:**\n  - Called when job stops (via REST API `/api/jobs/stop_job/`)\n  - Called when job stops via NATS API\n- **Details:**\n  - Processes archiving asynchronously\n  - Uses `sync.WaitGroup` for graceful shutdown\n  - Updates job statistics (footprint, energy, monitoring status) atomically\n  - Calls job stop hooks after successful archiving\n\n---\n\n### **REST API ENDPOINTS THAT WRITE TO DATABASE**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/`\n\n#### **Job Start Endpoint** (`job.go:717`)\n- **Path:** `POST/PUT /api/jobs/start_job/`\n- **DB Operations:**\n  - `jobRepo.FindAll()` - check for duplicates (read)\n  - `jobRepo.StartDirect()` or `jobRepo.Start()` - **inserts new job**\n  - `jobRepo.AddTagOrCreate()` - **adds tags** (if provided)\n- **Concurrency:** Uses `RepositoryMutex` to prevent race conditions on duplicate checks\n- **Batching:** Individual calls, not explicitly batched\n- **Async:** Tag addition is async (after response)\n\n#### **Job Stop Endpoint** (`job.go:805`)\n- **Path:** `POST/PUT /api/jobs/stop_job/`\n- **DB Operations:**\n  - `jobRepo.FindCached()` or `jobRepo.Find()` - read\n  - `checkAndHandleStopJob()` - updates job state (line 1000+)\n  - Triggers `archiver.TriggerArchiving()` - queues async archiving\n- **Details:** Moves job to stopped state, triggers async archiving\n\n#### **Update Node States Endpoint** (`node.go:71`)\n- **Path:** `POST/PUT /api/nodestate/`\n- **DB Operations:**\n  - `nodeRepo.InsertNodeStateBegin()` - **starts transaction**\n  - `nodeRepo.InsertNodeState()` - **inserts node states** (batched per subcluster)\n  - `nodeRepo.InsertNodeStateEnd()` - **commits transaction**\n- **Batching:** Per-subcluster transactions\n- **Details:** Updates node allocation/state information\n\n#### **Tag Job Endpoint** (`job.go:545`)\n- **Path:** `POST/PATCH /api/jobs/tag_job/{id}`\n- **DB Operations:** `jobRepo.AddTagOrCreate()` - **inserts/creates tags**\n- **Batching:** No explicit batching\n\n#### **Remove Tag Endpoint** (`job.go:609`)\n- **Path:** `DELETE /api/jobs/tag_job/{id}`\n- **DB Operations:** Tag removal operations\n- **Batching:** No explicit batching\n\n#### **Delete Job Endpoints** (`job.go:852, 897, 950`)\n- **Paths:** \n  - `DELETE /api/jobs/delete_job/{id}`\n  - `DELETE /api/jobs/delete_job/`\n  - `DELETE /api/jobs/delete_job_before/{ts}`\n- **DB Operations:** `jobRepo.Delete*()` functions\n- **Details:** Remove jobs from database\n\n#### **Edit Meta Endpoint** (`job.go`)\n- **Path:** `PATCH /api/jobs/edit_meta/{id}`\n- **DB Operations:** Updates job metadata\n- **Details:** User-facing metadata updates\n\n---\n\n### **NATS API SUBSCRIPTIONS** (Alternative to REST)\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go`\n\n**Initialization:** `server.go:282-287` - conditionally started if `config.Keys.APISubjects` configured\n\n#### **Job Event Subscription** (`nats.go:146`)\n- **Subject:** `config.Keys.APISubjects.SubjectJobEvent` (e.g., \"cc.job.event\")\n- **Message Format:** InfluxDB line protocol with JSON payload\n- **Operations:** Same as REST endpoints (start_job, stop_job)\n- **Concurrency Control:** Uses semaphore (`jobSem` buffer of 8) to limit concurrent processing\n- **Details:** Asynchronous job processing via NATS messages\n\n#### **Node State Subscription** (`nats.go`)\n- **Subject:** `config.Keys.APISubjects.SubjectNodeState` (e.g., \"cc.node.state\")\n- **Operations:** Same as REST node state updates\n- **Concurrency Control:** Uses semaphore (`nodeSem` buffer of 2)\n\n---\n\n### **INITIALIZATION AND SHUTDOWN FLOW**\n\n**Main Startup Sequence:** (`main.go` lines 343-374)\n1. `metricstore.Init()` - starts 5 background workers\n2. `archiver.Start()` - starts archiving worker goroutine\n3. `taskmanager.Start()` - starts gocron scheduler with 11 periodic tasks\n\n**Graceful Shutdown Sequence:** (`server.go:418-441`)\n1. Server shutdown (30s timeout)\n2. NATS client close\n3. `metricstore.Shutdown()` - cancels metric worker contexts\n4. `archiver.Shutdown(10s)` - waits for pending archiving jobs with timeout\n5. `taskmanager.Shutdown()` - stops gocron scheduler\n\n---\n\n### **TRANSACTION/BATCHING SUMMARY**\n\n| Component | Uses Transactions | Batching Strategy |\n|-----------|-------------------|-------------------|\n| Footprint Worker | YES (per-cluster) | Builds update statements, executes in transaction |\n| Node State Updates | YES (per-subcluster) | `InsertNodeStateBegin/End` wrapper |\n| Job Start | NO | Individual insert (has mutex for duplicate prevention) |\n| Job Stop | NO | Async archiving triggered separately |\n| Retention Delete | Implicit | `DeleteJobsBefore()` handles batching |\n| Stop Jobs Exceed | Implicit | `StopJobsExceedingWalltimeBy()` batches |\n| Archiver | NO | Single UPDATE statement with multiple SET clauses |\n| LDAP Sync | Dependent | Implementation in auth package |\n| Node State Retention | Implicit | `DeleteNodeStatesBefore()` batches |\n\n---\n\n### **FILE LOCATIONS SUMMARY**\n\n**Critical Files:**\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/` - 11 periodic task definitions\n- `/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go` - 5 background workers\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go` - async archiving\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/rest.go` - REST route registration\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go` - NATS subscriptions\n- `/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go` - initialization sequence\n- `/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/server.go` - shutdown sequence"},{"type":"text","text":"agentId: a5a9b60b3b5a2afcf (for resuming to continue this agent's work if needed)\n<usage>total_tokens: 74431\ntool_uses: 31\nduration_ms: 85216</usage>"}]}]},"uuid":"7db18647-1759-41ac-94c1-d055b54e49db","timestamp":"2026-03-16T10:20:09.320Z","toolUseResult":{"status":"completed","prompt":"Explore the cc-backend codebase to find all periodic/scheduled tasks and background goroutines that write to the SQLite database. Look for:\n\n1. Goroutines started with `go func()` that do DB writes\n2. Ticker/timer-based loops that write to the DB\n3. Archiving operations that write to the DB\n4. Retention/cleanup operations\n5. Any cron-like scheduled operations\n\nSearch in:\n- cmd/cc-backend/ (main entry point, initialization)\n- internal/archiver/\n- internal/taskmanager/ or similar\n- internal/repository/\n- Any file with \"schedule\", \"ticker\", \"cron\", \"periodic\", \"retention\", \"cleanup\" patterns\n\nFor each, note the frequency, what DB operations it performs, and whether those operations are already batched/transacted.\n\nAlso look at the REST API file internal/api/rest.go to understand all registered routes and which ones do DB writes.","agentId":"a5a9b60b3b5a2afcf","content":[{"type":"text","text":"Perfect! Now I have gathered comprehensive information. Let me create a detailed summary of all the findings.\n\n## Summary Report: Periodic/Scheduled Tasks and Background Goroutines in cc-backend\n\nI've completed a comprehensive exploration of the cc-backend codebase to identify all periodic/scheduled tasks and background goroutines that write to SQLite. Here's the complete findings:\n\n---\n\n### **TASK MANAGER (gocron-based scheduler)**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/`\n\nThe main scheduler is initialized in `main.go` line 374:\n```go\ntaskmanager.Start(ccconf.GetPackageConfig(\"cron\"), ccconf.GetPackageConfig(\"archive\"))\n```\n\n#### **1. Commit Job Service (commitJobService.go)**\n- **Frequency:** Default 2 minutes (configurable via `commit-job-worker`)\n- **DB Operation:** `jobRepo.SyncJobs()` + callback hooks\n- **Type:** Duration-based job (gocron.DurationJob)\n- **Batching:** Handled via SyncJobs() call\n- **Details:** Syncs job cache and triggers job start hooks\n\n#### **2. Update Duration Worker (updateDurationService.go)**\n- **Frequency:** Default 5 minutes (configurable via `duration-worker`)\n- **DB Operation:** `jobRepo.UpdateDuration()`\n- **Type:** Duration-based job\n- **Batching:** Single call, likely batches updates internally\n- **Details:** Updates job duration fields in DB\n\n#### **3. Footprint Update Worker (updateFootprintService.go)**\n- **Frequency:** Default 10 minutes (configurable via `footprint-worker`)\n- **DB Operation:** Multiple per-cluster database updates using transactions\n  - Uses `jobRepo.TransactionInit()`, `jobRepo.TransactionAdd()`, `jobRepo.TransactionEnd()`\n  - Updates job statistics (avg/min/max) for running jobs\n- **Batching:** Proper transaction batching per cluster\n- **Details:** \n  - Iterates through all clusters and running jobs\n  - Loads metrics from metric stores\n  - Builds UPDATE statements and batches them per cluster\n  - Uses transactions to apply all updates atomically\n\n#### **4. Stop Jobs Exceeding Walltime (stopJobsExceedTime.go)**\n- **Frequency:** Daily at 3:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.StopJobsExceedingWalltimeBy(duration)` + GC\n- **Type:** Daily job (gocron.DailyJob)\n- **Batching:** Handled internally by repository function\n- **Conditional:** Only runs if `config.Keys.StopJobsExceedingWalltime > 0`\n\n#### **5. Retention Delete Service (retentionService.go)**\n- **Frequency:** Daily at 3:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.FindJobsBetween()` + `jobRepo.DeleteJobsBefore()` + `jobRepo.Optimize()`\n- **Type:** Daily job\n- **Batching:** Deletes are batched via `DeleteJobsBefore()`\n- **Conditional:** Only if retention policy = \"delete\"\n- **Details:** Deletes archived jobs older than configured age\n\n#### **6. Retention Copy Service (retentionService.go)**\n- **Frequency:** Daily at 4:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.FindJobsBetween()` (no DB writes, only archive operations)\n- **Type:** Daily job\n- **Conditional:** Only if retention policy = \"copy\"\n- **Details:** Copies jobs to secondary backend without DB deletions\n\n#### **7. Retention Move Service (retentionService.go)**\n- **Frequency:** Daily at 5:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.FindJobsBetween()` + `jobRepo.DeleteJobsBefore()` + `jobRepo.Optimize()`\n- **Type:** Daily job\n- **Batching:** Deletes are batched\n- **Conditional:** Only if retention policy = \"move\"\n- **Details:** Moves jobs to secondary backend then deletes from DB\n\n#### **8. Compression Service (compressionService.go)**\n- **Frequency:** Daily at 5:00 AM (hardcoded, conflicts with move service)\n- **DB Operation:** `jobRepo.FindJobsBetween()` (no DB writes, only archive compression)\n- **Type:** Daily job\n- **Details:** Compresses old archived jobs\n- **Always enabled:** Even without explicit retention config\n\n#### **9. LDAP Sync Service (ldapSyncService.go)**\n- **Frequency:** Configurable via `LdapConfig.SyncInterval`\n- **DB Operation:** `auth.LdapAuth.Sync()` (user table updates, not job-related)\n- **Type:** Duration-based job\n- **Conditional:** Only if LDAP is configured\n\n#### **10. Node State Retention Delete Service (nodestateRetentionService.go)**\n- **Frequency:** Daily at 2:00 AM (hardcoded)\n- **DB Operation:** `nodeRepo.DeleteNodeStatesBefore(cutoff)`\n- **Type:** Daily job\n- **Conditional:** Only if `config.Keys.NodeStateRetention.Policy == \"delete\"`\n- **Details:** Deletes node state records older than configured age (default 24 hours)\n\n#### **11. Node State Retention Move Service (nodestateRetentionService.go)**\n- **Frequency:** Daily at 2:30 AM (hardcoded)\n- **DB Operation:** `nodeRepo.FindNodeStatesBefore()` + `nodeRepo.DeleteNodeStatesBefore()`\n- **Type:** Daily job\n- **Conditional:** Only if `config.Keys.NodeStateRetention.Policy == \"move\"`\n- **Details:** Archives node states to Parquet then deletes from DB\n\n---\n\n### **METRIC STORE BACKGROUND WORKERS**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/`\n\nInitialized in `main.go` line 343:\n```go\nmetricstore.Init(mscfg, metrics, &wg)\n```\n\nThese goroutines run concurrently and handle metric data persistence. **Note: These do NOT directly write to the SQLite job/node database, but they handle metric checkpoint persistence to disk.**\n\n#### **1. Checkpointing Worker (checkpoint.go:94)**\n- **Frequency:** 12 hours (default, configurable via `checkpoint-interval`)\n- **Operation:** Periodic metric data checkpoints to JSON or binary WAL format\n- **Type:** Duration-based ticker\n- **Details:**\n  - Saves in-memory metric buffers to disk\n  - Two formats: JSON (human-readable) or WAL+binary (crash-safe)\n  - Uses worker pool with `Keys.NumWorkers` (default: min(CPU/2+1, 10))\n  - Rotates WAL files after successful checkpoint\n\n#### **2. WAL Staging Worker (walCheckpoint.go:118)**\n- **Frequency:** Continuous (processes messages from channel)\n- **Operation:** Writes individual metric entries to write-ahead logs\n- **Type:** Channel-based message processor\n- **Details:**\n  - Processes `WALMessages` channel (from line protocol ingestion)\n  - Writes binary WAL records to per-host WAL files\n  - Manages file handles for efficient buffering\n  - Handles WAL rotation on command\n\n#### **3. Retention Worker (metricstore.go:320)**\n- **Frequency:** Half of `Keys.RetentionInMemory` interval\n- **Operation:** Frees in-memory metric buffers older than retention period\n- **Type:** Duration-based ticker\n- **Details:**\n  - Calls `Free(ms, t)` to remove old data from memory\n  - Cleans buffer pool with `bufferPool.Clean()`\n  - Does NOT write to SQLite, only memory management\n\n#### **4. Cleanup Worker (archive.go:23)**\n- **Frequency:** `Keys.RetentionInMemory` interval\n- **Operation:** Either archives or deletes old checkpoint files\n- **Type:** Duration-based ticker\n- **Modes:** \n  - \"archive\": Moves old checkpoint files to Parquet format\n  - \"delete\": Deletes old checkpoint files\n- **Details:**\n  - Uses worker pool for parallel processing\n  - Supports both local filesystem and S3 targets\n  - Runs daily cleanup job\n\n#### **5. Memory Usage Tracker (metricstore.go:383)**\n- **Frequency:** `DefaultMemoryUsageTrackerInterval` (appears to be 5-10 min based on code)\n- **Operation:** Monitors memory usage, force-frees buffers if exceeding cap\n- **Type:** Duration-based ticker\n- **Details:**\n  - Checks `runtime.MemStats.Alloc`\n  - Force-frees buffers if memory cap exceeded\n  - Calls `debug.FreeOSMemory()` to return memory to OS\n  - Does NOT write to SQLite\n\n---\n\n### **ARCHIVER BACKGROUND WORKER**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go`\n\n**Initialization:** `main.go` line 373:\n```go\narchiver.Start(repository.GetJobRepository(), ctx)\n```\n\n#### **Archiving Worker (archiveWorker.go:110)**\n- **Frequency:** On-demand (triggered by `TriggerArchiving()` calls)\n- **DB Operations:**\n  - `jobRepo.FetchMetadata(job)` - read\n  - `ArchiveJob(job, ctx)` - archive to external storage\n  - `jobRepo.UpdateFootprint(stmt, jobMeta)` - **writes**\n  - `jobRepo.UpdateEnergy(stmt, jobMeta)` - **writes**\n  - `jobRepo.MarkArchived(stmt, status)` - **writes**\n  - `jobRepo.Execute(stmt)` - executes composite update\n- **Type:** Channel-based consumer (buffered channel, capacity 128)\n- **Batching:** Single UPDATE statement with multiple SET clauses\n- **Trigger Points:**\n  - Called when job stops (via REST API `/api/jobs/stop_job/`)\n  - Called when job stops via NATS API\n- **Details:**\n  - Processes archiving asynchronously\n  - Uses `sync.WaitGroup` for graceful shutdown\n  - Updates job statistics (footprint, energy, monitoring status) atomically\n  - Calls job stop hooks after successful archiving\n\n---\n\n### **REST API ENDPOINTS THAT WRITE TO DATABASE**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/`\n\n#### **Job Start Endpoint** (`job.go:717`)\n- **Path:** `POST/PUT /api/jobs/start_job/`\n- **DB Operations:**\n  - `jobRepo.FindAll()` - check for duplicates (read)\n  - `jobRepo.StartDirect()` or `jobRepo.Start()` - **inserts new job**\n  - `jobRepo.AddTagOrCreate()` - **adds tags** (if provided)\n- **Concurrency:** Uses `RepositoryMutex` to prevent race conditions on duplicate checks\n- **Batching:** Individual calls, not explicitly batched\n- **Async:** Tag addition is async (after response)\n\n#### **Job Stop Endpoint** (`job.go:805`)\n- **Path:** `POST/PUT /api/jobs/stop_job/`\n- **DB Operations:**\n  - `jobRepo.FindCached()` or `jobRepo.Find()` - read\n  - `checkAndHandleStopJob()` - updates job state (line 1000+)\n  - Triggers `archiver.TriggerArchiving()` - queues async archiving\n- **Details:** Moves job to stopped state, triggers async archiving\n\n#### **Update Node States Endpoint** (`node.go:71`)\n- **Path:** `POST/PUT /api/nodestate/`\n- **DB Operations:**\n  - `nodeRepo.InsertNodeStateBegin()` - **starts transaction**\n  - `nodeRepo.InsertNodeState()` - **inserts node states** (batched per subcluster)\n  - `nodeRepo.InsertNodeStateEnd()` - **commits transaction**\n- **Batching:** Per-subcluster transactions\n- **Details:** Updates node allocation/state information\n\n#### **Tag Job Endpoint** (`job.go:545`)\n- **Path:** `POST/PATCH /api/jobs/tag_job/{id}`\n- **DB Operations:** `jobRepo.AddTagOrCreate()` - **inserts/creates tags**\n- **Batching:** No explicit batching\n\n#### **Remove Tag Endpoint** (`job.go:609`)\n- **Path:** `DELETE /api/jobs/tag_job/{id}`\n- **DB Operations:** Tag removal operations\n- **Batching:** No explicit batching\n\n#### **Delete Job Endpoints** (`job.go:852, 897, 950`)\n- **Paths:** \n  - `DELETE /api/jobs/delete_job/{id}`\n  - `DELETE /api/jobs/delete_job/`\n  - `DELETE /api/jobs/delete_job_before/{ts}`\n- **DB Operations:** `jobRepo.Delete*()` functions\n- **Details:** Remove jobs from database\n\n#### **Edit Meta Endpoint** (`job.go`)\n- **Path:** `PATCH /api/jobs/edit_meta/{id}`\n- **DB Operations:** Updates job metadata\n- **Details:** User-facing metadata updates\n\n---\n\n### **NATS API SUBSCRIPTIONS** (Alternative to REST)\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go`\n\n**Initialization:** `server.go:282-287` - conditionally started if `config.Keys.APISubjects` configured\n\n#### **Job Event Subscription** (`nats.go:146`)\n- **Subject:** `config.Keys.APISubjects.SubjectJobEvent` (e.g., \"cc.job.event\")\n- **Message Format:** InfluxDB line protocol with JSON payload\n- **Operations:** Same as REST endpoints (start_job, stop_job)\n- **Concurrency Control:** Uses semaphore (`jobSem` buffer of 8) to limit concurrent processing\n- **Details:** Asynchronous job processing via NATS messages\n\n#### **Node State Subscription** (`nats.go`)\n- **Subject:** `config.Keys.APISubjects.SubjectNodeState` (e.g., \"cc.node.state\")\n- **Operations:** Same as REST node state updates\n- **Concurrency Control:** Uses semaphore (`nodeSem` buffer of 2)\n\n---\n\n### **INITIALIZATION AND SHUTDOWN FLOW**\n\n**Main Startup Sequence:** (`main.go` lines 343-374)\n1. `metricstore.Init()` - starts 5 background workers\n2. `archiver.Start()` - starts archiving worker goroutine\n3. `taskmanager.Start()` - starts gocron scheduler with 11 periodic tasks\n\n**Graceful Shutdown Sequence:** (`server.go:418-441`)\n1. Server shutdown (30s timeout)\n2. NATS client close\n3. `metricstore.Shutdown()` - cancels metric worker contexts\n4. `archiver.Shutdown(10s)` - waits for pending archiving jobs with timeout\n5. `taskmanager.Shutdown()` - stops gocron scheduler\n\n---\n\n### **TRANSACTION/BATCHING SUMMARY**\n\n| Component | Uses Transactions | Batching Strategy |\n|-----------|-------------------|-------------------|\n| Footprint Worker | YES (per-cluster) | Builds update statements, executes in transaction |\n| Node State Updates | YES (per-subcluster) | `InsertNodeStateBegin/End` wrapper |\n| Job Start | NO | Individual insert (has mutex for duplicate prevention) |\n| Job Stop | NO | Async archiving triggered separately |\n| Retention Delete | Implicit | `DeleteJobsBefore()` handles batching |\n| Stop Jobs Exceed | Implicit | `StopJobsExceedingWalltimeBy()` batches |\n| Archiver | NO | Single UPDATE statement with multiple SET clauses |\n| LDAP Sync | Dependent | Implementation in auth package |\n| Node State Retention | Implicit | `DeleteNodeStatesBefore()` batches |\n\n---\n\n### **FILE LOCATIONS SUMMARY**\n\n**Critical Files:**\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/` - 11 periodic task definitions\n- `/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go` - 5 background workers\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go` - async archiving\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/rest.go` - REST route registration\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go` - NATS subscriptions\n- `/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go` - initialization sequence\n- `/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/server.go` - shutdown sequence"}],"totalDurationMs":85216,"totalTokens":74431,"totalToolUseCount":31,"usage":{"input_tokens":0,"cache_creation_input_tokens":2249,"cache_read_input_tokens":67937,"output_tokens":4245,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":2249},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"f0935097-6b79-44e4-81d4-4ce525f0f4f3","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"31a6461a-2879-4aad-914b-acdc223c3944","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01UciAyMdYFRwbswUMPwitfW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NPCSF89CyztSbhAD6AQGZK","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":14662,"cache_read_input_tokens":79778,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":14662},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6bCoSb5mSW7BQj8rUfE","type":"assistant","uuid":"f7a0639e-a4dc-4206-a497-ea38bbed526d","timestamp":"2026-03-16T10:20:15.643Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"f7a0639e-a4dc-4206-a497-ea38bbed526d","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01NPCSF89CyztSbhAD6AQGZK","toolUseID":"toolu_01NPCSF89CyztSbhAD6AQGZK","timestamp":"2026-03-16T10:20:15.650Z","uuid":"b483e11b-ea24-4887-9f59-9b70bc1863e6","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"f7a0639e-a4dc-4206-a497-ea38bbed526d","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NPCSF89CyztSbhAD6AQGZK","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package repository provides data access and persistence layer for ClusterCockpit.\n     7→//\n     8→// This file implements tag management functionality for job categorization and classification.\n     9→// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n    10→// (via tagger plugins). The implementation includes role-based access control through\n    11→// tag scopes and maintains bidirectional consistency between the SQL database and\n    12→// the file-based job archive.\n    13→//\n    14→// Database Schema:\n    15→//\n    16→//\tCREATE TABLE tag (\n    17→//\t    id INTEGER PRIMARY KEY AUTOINCREMENT,\n    18→//\t    tag_type VARCHAR(255) NOT NULL,\n    19→//\t    tag_name VARCHAR(255) NOT NULL,\n    20→//\t    tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n    21→//\t    CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n    22→//\t);\n    23→//\n    24→//\tCREATE TABLE jobtag (\n    25→//\t    job_id INTEGER,\n    26→//\t    tag_id INTEGER,\n    27→//\t    PRIMARY KEY (job_id, tag_id),\n    28→//\t    FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n    29→//\t    FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n    30→//\t);\n    31→//\n    32→// The jobtag junction table enables many-to-many relationships between jobs and tags.\n    33→// CASCADE deletion ensures referential integrity when jobs or tags are removed.\n    34→package repository\n    35→\n    36→import (\n    37→\t\"errors\"\n    38→\t\"fmt\"\n    39→\t\"strings\"\n    40→\n    41→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    42→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    43→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    44→\tsq \"github.com/Masterminds/squirrel\"\n    45→)\n    46→\n    47→// Tag Scope Rules:\n    48→//\n    49→// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n    50→//\n    51→//  1. \"global\" - Visible to all users, can be used by anyone\n    52→//     Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n    53→//\n    54→//  2. \"private\" - Only visible to the creating user\n    55→//     Example: Personal notes like \"needs-review\", \"interesting-case\"\n    56→//\n    57→//  3. \"admin\" - Only visible to users with admin or support roles\n    58→//     Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n    59→//\n    60→// Authorization Rules:\n    61→//   - Regular users can only create/see \"global\" and their own \"private\" tags\n    62→//   - Admin/Support can create/see all scopes including \"admin\" tags\n    63→//   - Users can only add tags to jobs they have permission to view\n    64→//   - Tag scope is enforced at query time in GetTags() and CountTags()\n    65→\n    66→// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n    67→// Requires user authentication for security checks.\n    68→//\n    69→// The user must have permission to view the job. Tag visibility is determined by scope:\n    70→//   - \"global\" tags: visible to all users\n    71→//   - \"private\" tags: only visible to the tag creator\n    72→//   - \"admin\" tags: only visible to admin/support users\n    73→func (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n    74→\tj, err := r.FindByIDWithUser(user, job)\n    75→\tif err != nil {\n    76→\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n    77→\t\treturn nil, err\n    78→\t}\n    79→\n    80→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n    81→\t\treturn r.GetTags(user, &job)\n    82→\t})\n    83→}\n    84→\n    85→// AddTagDirect adds a tag without user security checks.\n    86→// Use only for internal/admin operations.\n    87→func (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n    88→\tj, err := r.FindByIDDirect(job)\n    89→\tif err != nil {\n    90→\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n    91→\t\treturn nil, err\n    92→\t}\n    93→\n    94→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n    95→\t\treturn r.GetTagsDirect(&job)\n    96→\t})\n    97→}\n    98→\n    99→// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n   100→// Requires user authentication for security checks. Used by GraphQL API.\n   101→func (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n   102→\tj, err := r.FindByIDWithUser(user, job)\n   103→\tif err != nil {\n   104→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n   105→\t\treturn nil, err\n   106→\t}\n   107→\n   108→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n   109→\n   110→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   111→\t\ts, _, _ := q.ToSql()\n   112→\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n   113→\t\treturn nil, err\n   114→\t}\n   115→\n   116→\ttags, err := r.GetTags(user, &job)\n   117→\tif err != nil {\n   118→\t\tcclog.Warn(\"Error while getting tags for job\")\n   119→\t\treturn nil, err\n   120→\t}\n   121→\n   122→\tarchiveTags, err := r.getArchiveTags(&job)\n   123→\tif err != nil {\n   124→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n   125→\t\treturn nil, err\n   126→\t}\n   127→\n   128→\treturn tags, archive.UpdateTags(j, archiveTags)\n   129→}\n   130→\n   131→// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n   132→// Requires user authentication for security checks. Used by REST API.\n   133→func (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n   134→\t// Get Tag ID to delete\n   135→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   136→\tif !exists {\n   137→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   138→\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   139→\t}\n   140→\n   141→\t// Get Job\n   142→\tj, err := r.FindByIDWithUser(user, job)\n   143→\tif err != nil {\n   144→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n   145→\t\treturn nil, err\n   146→\t}\n   147→\n   148→\t// Handle Delete\n   149→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n   150→\n   151→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   152→\t\ts, _, _ := q.ToSql()\n   153→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n   154→\t\treturn nil, err\n   155→\t}\n   156→\n   157→\ttags, err := r.GetTags(user, &job)\n   158→\tif err != nil {\n   159→\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n   160→\t\treturn nil, err\n   161→\t}\n   162→\n   163→\tarchiveTags, err := r.getArchiveTags(&job)\n   164→\tif err != nil {\n   165→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n   166→\t\treturn nil, err\n   167→\t}\n   168→\n   169→\treturn tags, archive.UpdateTags(j, archiveTags)\n   170→}\n   171→\n   172→// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n   173→//\n   174→// This function is called asynchronously (via goroutine) after removing a tag from the database\n   175→// to synchronize the file-based job archive with the database state. Errors are logged but not\n   176→// returned since this runs in the background.\n   177→//\n   178→// Parameters:\n   179→//   - jobIds: Database IDs of all jobs that had the deleted tag\n   180→//\n   181→// Implementation note: Each job is processed individually to handle partial failures gracefully.\n   182→// If one job fails to update, others will still be processed.\n   183→func (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n   184→\tfor _, j := range jobIds {\n   185→\t\ttags, err := r.getArchiveTags(&j)\n   186→\t\tif err != nil {\n   187→\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n   188→\t\t\tcontinue\n   189→\t\t}\n   190→\n   191→\t\tjob, err := r.FindByIDDirect(j)\n   192→\t\tif err != nil {\n   193→\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n   194→\t\t\tcontinue\n   195→\t\t}\n   196→\n   197→\t\tarchive.UpdateTags(job, tags)\n   198→\t}\n   199→}\n   200→\n   201→// Removes a tag from db by tag info\n   202→// Used by REST API. Does not update tagged jobs in Job archive.\n   203→func (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n   204→\t// Get Tag ID to delete\n   205→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   206→\tif !exists {\n   207→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   208→\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   209→\t}\n   210→\n   211→\treturn r.RemoveTagByID(tagID)\n   212→}\n   213→\n   214→// Removes a tag from db by tag id\n   215→// Used by GraphQL API.\n   216→func (r *JobRepository) RemoveTagByID(tagID int64) error {\n   217→\tjobIds, err := r.FindJobIdsByTag(tagID)\n   218→\tif err != nil {\n   219→\t\treturn err\n   220→\t}\n   221→\n   222→\t// Handle Delete JobTagTable\n   223→\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n   224→\n   225→\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n   226→\t\ts, _, _ := qJobTag.ToSql()\n   227→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n   228→\t\treturn err\n   229→\t}\n   230→\n   231→\t// Handle Delete TagTable\n   232→\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n   233→\n   234→\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n   235→\t\ts, _, _ := qTag.ToSql()\n   236→\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n   237→\t\treturn err\n   238→\t}\n   239→\n   240→\t// asynchronously update archive jobs\n   241→\tgo r.removeTagFromArchiveJobs(jobIds)\n   242→\n   243→\treturn nil\n   244→}\n   245→\n   246→// CreateTag creates a new tag with the specified type, name, and scope.\n   247→// Returns the database ID of the newly created tag.\n   248→//\n   249→// Scope defaults to \"global\" if empty string is provided.\n   250→// Valid scopes: \"global\", \"private\", \"admin\"\n   251→//\n   252→// Example:\n   253→//\n   254→//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\n   255→func (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n   256→\t// Default to \"Global\" scope if none defined\n   257→\tif tagScope == \"\" {\n   258→\t\ttagScope = \"global\"\n   259→\t}\n   260→\n   261→\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n   262→\n   263→\tres, err := q.RunWith(r.stmtCache).Exec()\n   264→\tif err != nil {\n   265→\t\ts, _, _ := q.ToSql()\n   266→\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n   267→\t\treturn 0, err\n   268→\t}\n   269→\n   270→\treturn res.LastInsertId()\n   271→}\n   272→\n   273→// CountTags returns all tags visible to the user and the count of jobs for each tag.\n   274→// Applies scope-based filtering to respect tag visibility rules.\n   275→//\n   276→// Returns:\n   277→//   - tags: slice of tags the user can see\n   278→//   - counts: map of tag name to job count\n   279→//   - err: any error encountered\n   280→func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n   281→\ttags = make([]schema.Tag, 0, 100)\n   282→\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n   283→\tif err != nil {\n   284→\t\treturn nil, nil, err\n   285→\t}\n   286→\tdefer xrows.Close()\n   287→\n   288→\tfor xrows.Next() {\n   289→\t\tvar t schema.Tag\n   290→\t\tif err = xrows.StructScan(&t); err != nil {\n   291→\t\t\treturn nil, nil, err\n   292→\t\t}\n   293→\n   294→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n   295→\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n   296→\t\tif err != nil {\n   297→\t\t\treturn nil, nil, err\n   298→\t\t}\n   299→\t\tif readable {\n   300→\t\t\ttags = append(tags, t)\n   301→\t\t}\n   302→\t}\n   303→\n   304→\tif err := xrows.Err(); err != nil {\n   305→\t\treturn nil, nil, err\n   306→\t}\n   307→\n   308→\t// Query and Count Jobs with attached Tags\n   309→\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n   310→\t\tFrom(\"tag t\").\n   311→\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n   312→\t\tGroupBy(\"t.tag_type, t.tag_name\")\n   313→\n   314→\t// Build scope list for filtering\n   315→\tvar scopeBuilder strings.Builder\n   316→\tscopeBuilder.WriteString(`\"global\"`)\n   317→\tif user != nil {\n   318→\t\tscopeBuilder.WriteString(`,\"`)\n   319→\t\tscopeBuilder.WriteString(user.Username)\n   320→\t\tscopeBuilder.WriteString(`\"`)\n   321→\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n   322→\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n   323→\t\t}\n   324→\t}\n   325→\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n   326→\n   327→\t// Handle Job Ownership\n   328→\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n   329→\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n   330→\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n   331→\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n   332→\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n   333→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n   334→\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n   335→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n   336→\t}\n   337→\n   338→\trows, err := q.RunWith(r.stmtCache).Query()\n   339→\tif err != nil {\n   340→\t\treturn nil, nil, err\n   341→\t}\n   342→\tdefer rows.Close()\n   343→\n   344→\tcounts = make(map[string]int)\n   345→\tfor rows.Next() {\n   346→\t\tvar tagType string\n   347→\t\tvar tagName string\n   348→\t\tvar tagID int\n   349→\t\tvar count int\n   350→\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n   351→\t\t\treturn nil, nil, err\n   352→\t\t}\n   353→\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n   354→\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n   355→\t}\n   356→\terr = rows.Err()\n   357→\n   358→\treturn tags, counts, err\n   359→}\n   360→\n   361→var (\n   362→\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n   363→\tErrTagNotFound = errors.New(\"the tag does not exist\")\n   364→\n   365→\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n   366→\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n   367→\n   368→\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n   369→\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n   370→\n   371→\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n   372→\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n   373→\n   374→\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n   375→\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n   376→\n   377→\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n   378→\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n   379→)\n   380→\n   381→// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n   382→//\n   383→// This function performs three operations atomically:\n   384→//  1. Inserts the job-tag association into the jobtag junction table\n   385→//  2. Retrieves the updated tag list for the job (using the provided getTags callback)\n   386→//  3. Updates the job archive with the new tags to maintain database-archive consistency\n   387→//\n   388→// Parameters:\n   389→//   - jobId: Database ID of the job\n   390→//   - tagId: Database ID of the tag to associate\n   391→//   - job: Full job object needed for archive update\n   392→//   - getTags: Callback function to retrieve updated tags (allows different security contexts)\n   393→//\n   394→// Returns the complete updated tag list for the job or an error.\n   395→//\n   396→// Note: This function does NOT validate tag scope permissions - callers must perform\n   397→// authorization checks before invoking this helper.\n   398→func (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n   399→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n   400→\n   401→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   402→\t\ts, _, _ := q.ToSql()\n   403→\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n   404→\t\treturn nil, err\n   405→\t}\n   406→\n   407→\ttags, err := getTags()\n   408→\tif err != nil {\n   409→\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n   410→\t\treturn nil, err\n   411→\t}\n   412→\n   413→\tarchiveTags, err := r.getArchiveTags(&jobID)\n   414→\tif err != nil {\n   415→\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n   416→\t\treturn nil, err\n   417→\t}\n   418→\n   419→\treturn tags, archive.UpdateTags(job, archiveTags)\n   420→}\n   421→\n   422→// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n   423→// If such a tag does not yet exist, it is created.\n   424→func (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n   425→\t// Default to \"Global\" scope if none defined\n   426→\tif tagScope == \"\" {\n   427→\t\ttagScope = \"global\"\n   428→\t}\n   429→\n   430→\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n   431→\tif err != nil {\n   432→\t\treturn 0, err\n   433→\t}\n   434→\tif !writable {\n   435→\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n   436→\t}\n   437→\n   438→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   439→\tif !exists {\n   440→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n   441→\t\tif err != nil {\n   442→\t\t\treturn 0, err\n   443→\t\t}\n   444→\t}\n   445→\n   446→\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n   447→\t\treturn 0, err\n   448→\t}\n   449→\n   450→\treturn tagID, nil\n   451→}\n   452→\n   453→func (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n   454→\ttagScope := \"global\"\n   455→\n   456→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   457→\tif !exists {\n   458→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n   459→\t\tif err != nil {\n   460→\t\t\treturn 0, err\n   461→\t\t}\n   462→\t}\n   463→\n   464→\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n   465→\n   466→\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n   467→\t\treturn 0, err\n   468→\t}\n   469→\n   470→\treturn tagID, nil\n   471→}\n   472→\n   473→func (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n   474→\tvar id int64\n   475→\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n   476→\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n   477→\t\tWhere(\"tag.tag_name = ?\", tagName)\n   478→\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n   479→\tif err != nil {\n   480→\t\treturn false\n   481→\t} else {\n   482→\t\treturn true\n   483→\t}\n   484→}\n   485→\n   486→// TagID returns the database id of the tag with the specified type and name.\n   487→func (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n   488→\texists = true\n   489→\tif err := sq.Select(\"id\").From(\"tag\").\n   490→\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n   491→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n   492→\t\texists = false\n   493→\t}\n   494→\treturn\n   495→}\n   496→\n   497→// TagInfo returns the database infos of the tag with the specified id.\n   498→func (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n   499→\texists = true\n   500→\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n   501→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n   502→\t\texists = false\n   503→\t}\n   504→\treturn\n   505→}\n   506→\n   507→// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\n   508→func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n   509→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n   510→\tif job != nil {\n   511→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n   512→\t}\n   513→\n   514→\trows, err := q.RunWith(r.stmtCache).Query()\n   515→\tif err != nil {\n   516→\t\ts, _, _ := q.ToSql()\n   517→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n   518→\t\treturn nil, err\n   519→\t}\n   520→\tdefer rows.Close()\n   521→\n   522→\ttags := make([]*schema.Tag, 0)\n   523→\tfor rows.Next() {\n   524→\t\ttag := &schema.Tag{}\n   525→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n   526→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n   527→\t\t\treturn nil, err\n   528→\t\t}\n   529→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n   530→\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n   531→\t\tif err != nil {\n   532→\t\t\treturn nil, err\n   533→\t\t}\n   534→\t\tif readable {\n   535→\t\t\ttags = append(tags, tag)\n   536→\t\t}\n   537→\t}\n   538→\n   539→\tif err := rows.Err(); err != nil {\n   540→\t\treturn nil, err\n   541→\t}\n   542→\n   543→\treturn tags, nil\n   544→}\n   545→\n   546→func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n   547→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n   548→\tif job != nil {\n   549→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n   550→\t}\n   551→\n   552→\trows, err := q.RunWith(r.stmtCache).Query()\n   553→\tif err != nil {\n   554→\t\ts, _, _ := q.ToSql()\n   555→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n   556→\t\treturn nil, err\n   557→\t}\n   558→\tdefer rows.Close()\n   559→\n   560→\ttags := make([]*schema.Tag, 0)\n   561→\tfor rows.Next() {\n   562→\t\ttag := &schema.Tag{}\n   563→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n   564→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n   565→\t\t\treturn nil, err\n   566→\t\t}\n   567→\t\ttags = append(tags, tag)\n   568→\t}\n   569→\n   570→\tif err := rows.Err(); err != nil {\n   571→\t\treturn nil, err\n   572→\t}\n   573→\n   574→\treturn tags, nil\n   575→}\n   576→\n   577→// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n   578→//\n   579→// This internal function is used exclusively for job archive synchronization where we need\n   580→// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n   581→// filters by scope, this returns the complete unfiltered tag list.\n   582→//\n   583→// Parameters:\n   584→//   - job: Pointer to job database ID, or nil to return all tags in the system\n   585→//\n   586→// Returns all tags without scope filtering, used only for archive operations.\n   587→//\n   588→// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\n   589→func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n   590→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n   591→\tif job != nil {\n   592→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n   593→\t}\n   594→\n   595→\trows, err := q.RunWith(r.stmtCache).Query()\n   596→\tif err != nil {\n   597→\t\ts, _, _ := q.ToSql()\n   598→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n   599→\t\treturn nil, err\n   600→\t}\n   601→\tdefer rows.Close()\n   602→\n   603→\ttags := make([]*schema.Tag, 0)\n   604→\tfor rows.Next() {\n   605→\t\ttag := &schema.Tag{}\n   606→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n   607→\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n   608→\t\t\treturn nil, err\n   609→\t\t}\n   610→\t\ttags = append(tags, tag)\n   611→\t}\n   612→\n   613→\tif err := rows.Err(); err != nil {\n   614→\t\treturn nil, err\n   615→\t}\n   616→\n   617→\treturn tags, nil\n   618→}\n   619→\n   620→func (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n   621→\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n   622→\n   623→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   624→\tif !exists {\n   625→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n   626→\t\tif err != nil {\n   627→\t\t\treturn err\n   628→\t\t}\n   629→\t}\n   630→\n   631→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n   632→\n   633→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   634→\t\ts, _, _ := q.ToSql()\n   635→\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n   636→\t\treturn err\n   637→\t}\n   638→\n   639→\treturn nil\n   640→}\n   641→\n   642→// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n   643→//\n   644→// This function implements the tag scope authorization matrix:\n   645→//\n   646→//\tScope        | Read Access                      | Write Access\n   647→//\t-------------|----------------------------------|----------------------------------\n   648→//\t\"global\"     | All users                        | Admin, Support, API-only\n   649→//\t\"admin\"      | Admin, Support                   | Admin, API-only\n   650→//\t<username>   | Owner only                       | Owner only (private tags)\n   651→//\n   652→// Parameters:\n   653→//   - user: User attempting the operation (must not be nil)\n   654→//   - operation: Either \"read\" or \"write\"\n   655→//   - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n   656→//\n   657→// Returns:\n   658→//   - pass: true if authorized, false if denied\n   659→//   - err: error only if operation is invalid or user is nil\n   660→//\n   661→// Special cases:\n   662→//   - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n   663→//   - Private tags use the username as scope, granting exclusive access to that user\n   664→func (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n   665→\tif user != nil {\n   666→\t\tswitch {\n   667→\t\tcase operation == \"write\" && scope == \"admin\":\n   668→\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n   669→\t\t\t\treturn true, nil\n   670→\t\t\t}\n   671→\t\t\treturn false, nil\n   672→\t\tcase operation == \"write\" && scope == \"global\":\n   673→\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n   674→\t\t\t\treturn true, nil\n   675→\t\t\t}\n   676→\t\t\treturn false, nil\n   677→\t\tcase operation == \"write\" && scope == user.Username:\n   678→\t\t\treturn true, nil\n   679→\t\tcase operation == \"read\" && scope == \"admin\":\n   680→\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n   681→\t\tcase operation == \"read\" && scope == \"global\":\n   682→\t\t\treturn true, nil\n   683→\t\tcase operation == \"read\" && scope == user.Username:\n   684→\t\t\treturn true, nil\n   685→\t\tdefault:\n   686→\t\t\tif operation == \"read\" || operation == \"write\" {\n   687→\t\t\t\t// No acceptable scope: deny tag\n   688→\t\t\t\treturn false, nil\n   689→\t\t\t} else {\n   690→\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n   691→\t\t\t}\n   692→\t\t}\n   693→\t} else {\n   694→\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n   695→\t}\n   696→}\n   697→"}]},"uuid":"eab81478-d796-4621-b2c6-86dea55f106f","timestamp":"2026-03-16T10:20:15.650Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package repository provides data access and persistence layer for ClusterCockpit.\n//\n// This file implements tag management functionality for job categorization and classification.\n// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n// (via tagger plugins). The implementation includes role-based access control through\n// tag scopes and maintains bidirectional consistency between the SQL database and\n// the file-based job archive.\n//\n// Database Schema:\n//\n//\tCREATE TABLE tag (\n//\t    id INTEGER PRIMARY KEY AUTOINCREMENT,\n//\t    tag_type VARCHAR(255) NOT NULL,\n//\t    tag_name VARCHAR(255) NOT NULL,\n//\t    tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n//\t    CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n//\t);\n//\n//\tCREATE TABLE jobtag (\n//\t    job_id INTEGER,\n//\t    tag_id INTEGER,\n//\t    PRIMARY KEY (job_id, tag_id),\n//\t    FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n//\t    FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n//\t);\n//\n// The jobtag junction table enables many-to-many relationships between jobs and tags.\n// CASCADE deletion ensures referential integrity when jobs or tags are removed.\npackage repository\n\nimport (\n\t\"errors\"\n\t\"fmt\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// Tag Scope Rules:\n//\n// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n//\n//  1. \"global\" - Visible to all users, can be used by anyone\n//     Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n//\n//  2. \"private\" - Only visible to the creating user\n//     Example: Personal notes like \"needs-review\", \"interesting-case\"\n//\n//  3. \"admin\" - Only visible to users with admin or support roles\n//     Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n//\n// Authorization Rules:\n//   - Regular users can only create/see \"global\" and their own \"private\" tags\n//   - Admin/Support can create/see all scopes including \"admin\" tags\n//   - Users can only add tags to jobs they have permission to view\n//   - Tag scope is enforced at query time in GetTags() and CountTags()\n\n// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n// Requires user authentication for security checks.\n//\n// The user must have permission to view the job. Tag visibility is determined by scope:\n//   - \"global\" tags: visible to all users\n//   - \"private\" tags: only visible to the tag creator\n//   - \"admin\" tags: only visible to admin/support users\nfunc (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n\t\treturn r.GetTags(user, &job)\n\t})\n}\n\n// AddTagDirect adds a tag without user security checks.\n// Use only for internal/admin operations.\nfunc (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDDirect(job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n\t\treturn r.GetTagsDirect(&job)\n\t})\n}\n\n// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n// Requires user authentication for security checks. Used by GraphQL API.\nfunc (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := r.GetTags(user, &job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting tags for job\")\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(j, archiveTags)\n}\n\n// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n// Requires user authentication for security checks. Used by REST API.\nfunc (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n\t// Get Tag ID to delete\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t}\n\n\t// Get Job\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\t// Handle Delete\n\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := r.GetTags(user, &job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(j, archiveTags)\n}\n\n// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n//\n// This function is called asynchronously (via goroutine) after removing a tag from the database\n// to synchronize the file-based job archive with the database state. Errors are logged but not\n// returned since this runs in the background.\n//\n// Parameters:\n//   - jobIds: Database IDs of all jobs that had the deleted tag\n//\n// Implementation note: Each job is processed individually to handle partial failures gracefully.\n// If one job fails to update, others will still be processed.\nfunc (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n\tfor _, j := range jobIds {\n\t\ttags, err := r.getArchiveTags(&j)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n\t\t\tcontinue\n\t\t}\n\n\t\tjob, err := r.FindByIDDirect(j)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n\t\t\tcontinue\n\t\t}\n\n\t\tarchive.UpdateTags(job, tags)\n\t}\n}\n\n// Removes a tag from db by tag info\n// Used by REST API. Does not update tagged jobs in Job archive.\nfunc (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n\t// Get Tag ID to delete\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t}\n\n\treturn r.RemoveTagByID(tagID)\n}\n\n// Removes a tag from db by tag id\n// Used by GraphQL API.\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n\tjobIds, err := r.FindJobIdsByTag(tagID)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\t// Handle Delete JobTagTable\n\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n\n\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := qJobTag.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\t// Handle Delete TagTable\n\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n\n\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := qTag.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\t// asynchronously update archive jobs\n\tgo r.removeTagFromArchiveJobs(jobIds)\n\n\treturn nil\n}\n\n// CreateTag creates a new tag with the specified type, name, and scope.\n// Returns the database ID of the newly created tag.\n//\n// Scope defaults to \"global\" if empty string is provided.\n// Valid scopes: \"global\", \"private\", \"admin\"\n//\n// Example:\n//\n//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\nfunc (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n\t// Default to \"Global\" scope if none defined\n\tif tagScope == \"\" {\n\t\ttagScope = \"global\"\n\t}\n\n\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n\n\tres, err := q.RunWith(r.stmtCache).Exec()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n\t\treturn 0, err\n\t}\n\n\treturn res.LastInsertId()\n}\n\n// CountTags returns all tags visible to the user and the count of jobs for each tag.\n// Applies scope-based filtering to respect tag visibility rules.\n//\n// Returns:\n//   - tags: slice of tags the user can see\n//   - counts: map of tag name to job count\n//   - err: any error encountered\nfunc (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n\ttags = make([]schema.Tag, 0, 100)\n\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\tdefer xrows.Close()\n\n\tfor xrows.Next() {\n\t\tvar t schema.Tag\n\t\tif err = xrows.StructScan(&t); err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\n\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n\t\tif err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\t\tif readable {\n\t\t\ttags = append(tags, t)\n\t\t}\n\t}\n\n\tif err := xrows.Err(); err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\t// Query and Count Jobs with attached Tags\n\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n\t\tFrom(\"tag t\").\n\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n\t\tGroupBy(\"t.tag_type, t.tag_name\")\n\n\t// Build scope list for filtering\n\tvar scopeBuilder strings.Builder\n\tscopeBuilder.WriteString(`\"global\"`)\n\tif user != nil {\n\t\tscopeBuilder.WriteString(`,\"`)\n\t\tscopeBuilder.WriteString(user.Username)\n\t\tscopeBuilder.WriteString(`\"`)\n\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n\t\t}\n\t}\n\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n\n\t// Handle Job Ownership\n\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts = make(map[string]int)\n\tfor rows.Next() {\n\t\tvar tagType string\n\t\tvar tagName string\n\t\tvar tagID int\n\t\tvar count int\n\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n\t}\n\terr = rows.Err()\n\n\treturn tags, counts, err\n}\n\nvar (\n\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n\tErrTagNotFound = errors.New(\"the tag does not exist\")\n\n\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n\n\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n\n\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n\n\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n\n\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n)\n\n// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n//\n// This function performs three operations atomically:\n//  1. Inserts the job-tag association into the jobtag junction table\n//  2. Retrieves the updated tag list for the job (using the provided getTags callback)\n//  3. Updates the job archive with the new tags to maintain database-archive consistency\n//\n// Parameters:\n//   - jobId: Database ID of the job\n//   - tagId: Database ID of the tag to associate\n//   - job: Full job object needed for archive update\n//   - getTags: Callback function to retrieve updated tags (allows different security contexts)\n//\n// Returns the complete updated tag list for the job or an error.\n//\n// Note: This function does NOT validate tag scope permissions - callers must perform\n// authorization checks before invoking this helper.\nfunc (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := getTags()\n\tif err != nil {\n\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&jobID)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(job, archiveTags)\n}\n\n// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n// If such a tag does not yet exist, it is created.\nfunc (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n\t// Default to \"Global\" scope if none defined\n\tif tagScope == \"\" {\n\t\ttagScope = \"global\"\n\t}\n\n\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\tif !writable {\n\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n\t}\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn 0, err\n\t\t}\n\t}\n\n\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n\t\treturn 0, err\n\t}\n\n\treturn tagID, nil\n}\n\nfunc (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n\ttagScope := \"global\"\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn 0, err\n\t\t}\n\t}\n\n\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n\n\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n\t\treturn 0, err\n\t}\n\n\treturn tagID, nil\n}\n\nfunc (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n\tvar id int64\n\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n\t\tWhere(\"tag.tag_name = ?\", tagName)\n\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n\tif err != nil {\n\t\treturn false\n\t} else {\n\t\treturn true\n\t}\n}\n\n// TagID returns the database id of the tag with the specified type and name.\nfunc (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n\texists = true\n\tif err := sq.Select(\"id\").From(\"tag\").\n\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n\t\texists = false\n\t}\n\treturn\n}\n\n// TagInfo returns the database infos of the tag with the specified id.\nfunc (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n\texists = true\n\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n\t\texists = false\n\t}\n\treturn\n}\n\n// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\nfunc (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tif readable {\n\t\t\ttags = append(tags, tag)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn tags, nil\n}\n\nfunc (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn tags, nil\n}\n\n// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n//\n// This internal function is used exclusively for job archive synchronization where we need\n// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n// filters by scope, this returns the complete unfiltered tag list.\n//\n// Parameters:\n//   - job: Pointer to job database ID, or nil to return all tags in the system\n//\n// Returns all tags without scope filtering, used only for archive operations.\n//\n// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\nfunc (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn tags, nil\n}\n\nfunc (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\n// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n//\n// This function implements the tag scope authorization matrix:\n//\n//\tScope        | Read Access                      | Write Access\n//\t-------------|----------------------------------|----------------------------------\n//\t\"global\"     | All users                        | Admin, Support, API-only\n//\t\"admin\"      | Admin, Support                   | Admin, API-only\n//\t<username>   | Owner only                       | Owner only (private tags)\n//\n// Parameters:\n//   - user: User attempting the operation (must not be nil)\n//   - operation: Either \"read\" or \"write\"\n//   - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n//\n// Returns:\n//   - pass: true if authorized, false if denied\n//   - err: error only if operation is invalid or user is nil\n//\n// Special cases:\n//   - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n//   - Private tags use the username as scope, granting exclusive access to that user\nfunc (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n\tif user != nil {\n\t\tswitch {\n\t\tcase operation == \"write\" && scope == \"admin\":\n\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == \"global\":\n\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == \"admin\":\n\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n\t\tcase operation == \"read\" && scope == \"global\":\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tdefault:\n\t\t\tif operation == \"read\" || operation == \"write\" {\n\t\t\t\t// No acceptable scope: deny tag\n\t\t\t\treturn false, nil\n\t\t\t} else {\n\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n\t\t\t}\n\t\t}\n\t} else {\n\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n\t}\n}\n","numLines":697,"startLine":1,"totalLines":697}},"sourceToolAssistantUUID":"f7a0639e-a4dc-4206-a497-ea38bbed526d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"5078ed1a-9d75-4bee-8ee0-4732ddef3c03","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013Zk9UuLtFGBBW9XKL24U2N","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package archiver provides asynchronous job archiving functionality for ClusterCockpit.\n     7→//\n     8→// The archiver runs a background worker goroutine that processes job archiving requests\n     9→// from a buffered channel. When jobs complete, their metric data is archived from the\n    10→// metric store to the configured archive backend (filesystem, S3, etc.).\n    11→//\n    12→// # Architecture\n    13→//\n    14→// The archiver uses a producer-consumer pattern:\n    15→//   - Producer: TriggerArchiving() sends jobs to archiveChannel\n    16→//   - Consumer: archivingWorker() processes jobs from the channel\n    17→//   - Coordination: sync.WaitGroup tracks pending archive operations\n    18→//\n    19→// # Lifecycle\n    20→//\n    21→//  1. Start(repo, ctx) - Initialize worker with context for cancellation\n    22→//  2. TriggerArchiving(job) - Queue job for archiving (called when job stops)\n    23→//  3. archivingWorker() - Background goroutine processes jobs\n    24→//  4. Shutdown(timeout) - Graceful shutdown with timeout\n    25→//\n    26→// # Graceful Shutdown\n    27→//\n    28→// The archiver supports graceful shutdown with configurable timeout:\n    29→//   - Closes channel to reject new jobs\n    30→//   - Waits for pending jobs to complete (up to timeout)\n    31→//   - Cancels context if timeout exceeded\n    32→//   - Ensures worker goroutine exits cleanly\n    33→//\n    34→// # Example Usage\n    35→//\n    36→//\t// Initialize archiver\n    37→//\tctx, cancel := context.WithCancel(context.Background())\n    38→//\tdefer cancel()\n    39→//\tarchiver.Start(jobRepository, ctx)\n    40→//\n    41→//\t// Trigger archiving when job completes\n    42→//\tarchiver.TriggerArchiving(job)\n    43→//\n    44→//\t// Graceful shutdown with 10 second timeout\n    45→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n    46→//\t    log.Printf(\"Archiver shutdown timeout: %v\", err)\n    47→//\t}\n    48→package archiver\n    49→\n    50→import (\n    51→\t\"context\"\n    52→\t\"fmt\"\n    53→\t\"sync\"\n    54→\t\"time\"\n    55→\n    56→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    57→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    58→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    59→\tsq \"github.com/Masterminds/squirrel\"\n    60→)\n    61→\n    62→var (\n    63→\tarchivePending sync.WaitGroup\n    64→\tarchiveChannel chan *schema.Job\n    65→\tjobRepo        *repository.JobRepository\n    66→\tshutdownCtx    context.Context\n    67→\tshutdownCancel context.CancelFunc\n    68→\tworkerDone     chan struct{}\n    69→)\n    70→\n    71→// Start initializes the archiver and starts the background worker goroutine.\n    72→//\n    73→// The archiver processes job archiving requests asynchronously via a buffered channel.\n    74→// Jobs are sent to the channel using TriggerArchiving() and processed by the worker.\n    75→//\n    76→// Parameters:\n    77→//   - r: JobRepository instance for database operations\n    78→//   - ctx: Context for cancellation (shutdown signal propagation)\n    79→//\n    80→// The worker goroutine will run until:\n    81→//   - ctx is cancelled (via parent shutdown)\n    82→//   - archiveChannel is closed (via Shutdown())\n    83→//\n    84→// Must be called before TriggerArchiving(). Safe to call only once.\n    85→func Start(r *repository.JobRepository, ctx context.Context) {\n    86→\tshutdownCtx, shutdownCancel = context.WithCancel(ctx)\n    87→\tarchiveChannel = make(chan *schema.Job, 128)\n    88→\tworkerDone = make(chan struct{})\n    89→\tjobRepo = r\n    90→\n    91→\tgo archivingWorker()\n    92→}\n    93→\n    94→// archivingWorker is the background goroutine that processes job archiving requests.\n    95→//\n    96→// The worker loop:\n    97→//  1. Blocks waiting for jobs on archiveChannel or shutdown signal\n    98→//  2. Fetches job metadata from repository\n    99→//  3. Archives job data to configured backend (calls ArchiveJob)\n   100→//  4. Updates job footprint and energy metrics in database\n   101→//  5. Marks job as successfully archived\n   102→//  6. Calls job stop hooks\n   103→//\n   104→// The worker exits when:\n   105→//   - shutdownCtx is cancelled (timeout during shutdown)\n   106→//   - archiveChannel is closed (normal shutdown)\n   107→//\n   108→// Errors during archiving are logged and the job is marked as failed,\n   109→// but the worker continues processing other jobs.\n   110→func archivingWorker() {\n   111→\tdefer close(workerDone)\n   112→\n   113→\tfor {\n   114→\t\tselect {\n   115→\t\tcase <-shutdownCtx.Done():\n   116→\t\t\tcclog.Info(\"Archive worker received shutdown signal\")\n   117→\t\t\treturn\n   118→\n   119→\t\tcase job, ok := <-archiveChannel:\n   120→\t\t\tif !ok {\n   121→\t\t\t\tcclog.Info(\"Archive channel closed, worker exiting\")\n   122→\t\t\t\treturn\n   123→\t\t\t}\n   124→\n   125→\t\t\tstart := time.Now()\n   126→\t\t\t// not using meta data, called to load JobMeta into Cache?\n   127→\t\t\t// will fail if job meta not in repository\n   128→\t\t\tif _, err := jobRepo.FetchMetadata(job); err != nil {\n   129→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at check metadata step: %s\", *job.ID, err.Error())\n   130→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n   131→\t\t\t\tarchivePending.Done()\n   132→\t\t\t\tcontinue\n   133→\t\t\t}\n   134→\n   135→\t\t\t// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend\n   136→\t\t\t// Use shutdown context to allow cancellation\n   137→\t\t\tjobMeta, err := ArchiveJob(job, shutdownCtx)\n   138→\t\t\tif err != nil {\n   139→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at archiving job step: %s\", *job.ID, err.Error())\n   140→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n   141→\t\t\t\tarchivePending.Done()\n   142→\t\t\t\tcontinue\n   143→\t\t\t}\n   144→\n   145→\t\t\tstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\n   146→\n   147→\t\t\tif stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {\n   148→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Footprint step: %s\", *job.ID, err.Error())\n   149→\t\t\t\tarchivePending.Done()\n   150→\t\t\t\tcontinue\n   151→\t\t\t}\n   152→\t\t\tif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta); err != nil {\n   153→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Energy step: %s\", *job.ID, err.Error())\n   154→\t\t\t\tarchivePending.Done()\n   155→\t\t\t\tcontinue\n   156→\t\t\t}\n   157→\t\t\t// Update the jobs database entry one last time:\n   158→\t\t\tstmt = jobRepo.MarkArchived(stmt, schema.MonitoringStatusArchivingSuccessful)\n   159→\t\t\tif err := jobRepo.Execute(stmt); err != nil {\n   160→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at db execute: %s\", *job.ID, err.Error())\n   161→\t\t\t\tarchivePending.Done()\n   162→\t\t\t\tcontinue\n   163→\t\t\t}\n   164→\t\t\tcclog.Debugf(\"archiving job %d took %s\", job.JobID, time.Since(start))\n   165→\t\t\tcclog.Infof(\"archiving job (dbid: %d) successful\", *job.ID)\n   166→\n   167→\t\t\trepository.CallJobStopHooks(job)\n   168→\t\t\tarchivePending.Done()\n   169→\t\t}\n   170→\t}\n   171→}\n   172→\n   173→// TriggerArchiving queues a job for asynchronous archiving.\n   174→//\n   175→// This function should be called when a job completes (stops) to archive its\n   176→// metric data from the metric store to the configured archive backend.\n   177→//\n   178→// The function:\n   179→//  1. Increments the pending job counter (WaitGroup)\n   180→//  2. Sends the job to the archiving channel (buffered, capacity 128)\n   181→//  3. Returns immediately (non-blocking unless channel is full)\n   182→//\n   183→// The actual archiving is performed asynchronously by the worker goroutine.\n   184→// Upon completion, the worker will decrement the pending counter.\n   185→//\n   186→// Panics if Start() has not been called first.\n   187→func TriggerArchiving(job *schema.Job) {\n   188→\tif archiveChannel == nil {\n   189→\t\tcclog.Fatal(\"Cannot archive without archiving channel. Did you Start the archiver?\")\n   190→\t}\n   191→\n   192→\tarchivePending.Add(1)\n   193→\tarchiveChannel <- job\n   194→}\n   195→\n   196→// Shutdown performs a graceful shutdown of the archiver with a configurable timeout.\n   197→//\n   198→// The shutdown process:\n   199→//  1. Closes archiveChannel - no new jobs will be accepted\n   200→//  2. Waits for pending jobs to complete (up to timeout duration)\n   201→//  3. If timeout is exceeded:\n   202→//     - Cancels shutdownCtx to interrupt ongoing ArchiveJob operations\n   203→//     - Returns error indicating timeout\n   204→//  4. Waits for worker goroutine to exit cleanly\n   205→//\n   206→// Parameters:\n   207→//   - timeout: Maximum duration to wait for pending jobs to complete\n   208→//     (recommended: 10-30 seconds for production)\n   209→//\n   210→// Returns:\n   211→//   - nil if all jobs completed within timeout\n   212→//   - error if timeout was exceeded (some jobs may not have been archived)\n   213→//\n   214→// Jobs that don't complete within the timeout will be marked as failed.\n   215→// The function always ensures the worker goroutine exits before returning.\n   216→//\n   217→// Example:\n   218→//\n   219→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n   220→//\t    log.Printf(\"Some jobs did not complete: %v\", err)\n   221→//\t}\n   222→func Shutdown(timeout time.Duration) error {\n   223→\tcclog.Info(\"Initiating archiver shutdown...\")\n   224→\n   225→\t// Close channel to signal no more jobs will be accepted\n   226→\tclose(archiveChannel)\n   227→\n   228→\t// Create a channel to signal when all jobs are done\n   229→\tdone := make(chan struct{})\n   230→\tgo func() {\n   231→\t\tarchivePending.Wait()\n   232→\t\tclose(done)\n   233→\t}()\n   234→\n   235→\t// Wait for jobs to complete or timeout\n   236→\tselect {\n   237→\tcase <-done:\n   238→\t\tcclog.Info(\"All archive jobs completed successfully\")\n   239→\t\t// Wait for worker to exit\n   240→\t\t<-workerDone\n   241→\t\treturn nil\n   242→\tcase <-time.After(timeout):\n   243→\t\tcclog.Warn(\"Archiver shutdown timeout exceeded, cancelling remaining operations\")\n   244→\t\t// Cancel any ongoing operations\n   245→\t\tshutdownCancel()\n   246→\t\t// Wait for worker to exit\n   247→\t\t<-workerDone\n   248→\t\treturn fmt.Errorf(\"archiver shutdown timeout after %v\", timeout)\n   249→\t}\n   250→}\n   251→"}]},"uuid":"f93048f8-6f17-4a87-a745-7c4a8fc6fed7","timestamp":"2026-03-16T10:20:16.113Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package archiver provides asynchronous job archiving functionality for ClusterCockpit.\n//\n// The archiver runs a background worker goroutine that processes job archiving requests\n// from a buffered channel. When jobs complete, their metric data is archived from the\n// metric store to the configured archive backend (filesystem, S3, etc.).\n//\n// # Architecture\n//\n// The archiver uses a producer-consumer pattern:\n//   - Producer: TriggerArchiving() sends jobs to archiveChannel\n//   - Consumer: archivingWorker() processes jobs from the channel\n//   - Coordination: sync.WaitGroup tracks pending archive operations\n//\n// # Lifecycle\n//\n//  1. Start(repo, ctx) - Initialize worker with context for cancellation\n//  2. TriggerArchiving(job) - Queue job for archiving (called when job stops)\n//  3. archivingWorker() - Background goroutine processes jobs\n//  4. Shutdown(timeout) - Graceful shutdown with timeout\n//\n// # Graceful Shutdown\n//\n// The archiver supports graceful shutdown with configurable timeout:\n//   - Closes channel to reject new jobs\n//   - Waits for pending jobs to complete (up to timeout)\n//   - Cancels context if timeout exceeded\n//   - Ensures worker goroutine exits cleanly\n//\n// # Example Usage\n//\n//\t// Initialize archiver\n//\tctx, cancel := context.WithCancel(context.Background())\n//\tdefer cancel()\n//\tarchiver.Start(jobRepository, ctx)\n//\n//\t// Trigger archiving when job completes\n//\tarchiver.TriggerArchiving(job)\n//\n//\t// Graceful shutdown with 10 second timeout\n//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n//\t    log.Printf(\"Archiver shutdown timeout: %v\", err)\n//\t}\npackage archiver\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nvar (\n\tarchivePending sync.WaitGroup\n\tarchiveChannel chan *schema.Job\n\tjobRepo        *repository.JobRepository\n\tshutdownCtx    context.Context\n\tshutdownCancel context.CancelFunc\n\tworkerDone     chan struct{}\n)\n\n// Start initializes the archiver and starts the background worker goroutine.\n//\n// The archiver processes job archiving requests asynchronously via a buffered channel.\n// Jobs are sent to the channel using TriggerArchiving() and processed by the worker.\n//\n// Parameters:\n//   - r: JobRepository instance for database operations\n//   - ctx: Context for cancellation (shutdown signal propagation)\n//\n// The worker goroutine will run until:\n//   - ctx is cancelled (via parent shutdown)\n//   - archiveChannel is closed (via Shutdown())\n//\n// Must be called before TriggerArchiving(). Safe to call only once.\nfunc Start(r *repository.JobRepository, ctx context.Context) {\n\tshutdownCtx, shutdownCancel = context.WithCancel(ctx)\n\tarchiveChannel = make(chan *schema.Job, 128)\n\tworkerDone = make(chan struct{})\n\tjobRepo = r\n\n\tgo archivingWorker()\n}\n\n// archivingWorker is the background goroutine that processes job archiving requests.\n//\n// The worker loop:\n//  1. Blocks waiting for jobs on archiveChannel or shutdown signal\n//  2. Fetches job metadata from repository\n//  3. Archives job data to configured backend (calls ArchiveJob)\n//  4. Updates job footprint and energy metrics in database\n//  5. Marks job as successfully archived\n//  6. Calls job stop hooks\n//\n// The worker exits when:\n//   - shutdownCtx is cancelled (timeout during shutdown)\n//   - archiveChannel is closed (normal shutdown)\n//\n// Errors during archiving are logged and the job is marked as failed,\n// but the worker continues processing other jobs.\nfunc archivingWorker() {\n\tdefer close(workerDone)\n\n\tfor {\n\t\tselect {\n\t\tcase <-shutdownCtx.Done():\n\t\t\tcclog.Info(\"Archive worker received shutdown signal\")\n\t\t\treturn\n\n\t\tcase job, ok := <-archiveChannel:\n\t\t\tif !ok {\n\t\t\t\tcclog.Info(\"Archive channel closed, worker exiting\")\n\t\t\t\treturn\n\t\t\t}\n\n\t\t\tstart := time.Now()\n\t\t\t// not using meta data, called to load JobMeta into Cache?\n\t\t\t// will fail if job meta not in repository\n\t\t\tif _, err := jobRepo.FetchMetadata(job); err != nil {\n\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at check metadata step: %s\", *job.ID, err.Error())\n\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n\t\t\t\tarchivePending.Done()\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\t// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend\n\t\t\t// Use shutdown context to allow cancellation\n\t\t\tjobMeta, err := ArchiveJob(job, shutdownCtx)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at archiving job step: %s\", *job.ID, err.Error())\n\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n\t\t\t\tarchivePending.Done()\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\n\n\t\t\tif stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {\n\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Footprint step: %s\", *job.ID, err.Error())\n\t\t\t\tarchivePending.Done()\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\tif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta); err != nil {\n\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Energy step: %s\", *job.ID, err.Error())\n\t\t\t\tarchivePending.Done()\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\t// Update the jobs database entry one last time:\n\t\t\tstmt = jobRepo.MarkArchived(stmt, schema.MonitoringStatusArchivingSuccessful)\n\t\t\tif err := jobRepo.Execute(stmt); err != nil {\n\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at db execute: %s\", *job.ID, err.Error())\n\t\t\t\tarchivePending.Done()\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\tcclog.Debugf(\"archiving job %d took %s\", job.JobID, time.Since(start))\n\t\t\tcclog.Infof(\"archiving job (dbid: %d) successful\", *job.ID)\n\n\t\t\trepository.CallJobStopHooks(job)\n\t\t\tarchivePending.Done()\n\t\t}\n\t}\n}\n\n// TriggerArchiving queues a job for asynchronous archiving.\n//\n// This function should be called when a job completes (stops) to archive its\n// metric data from the metric store to the configured archive backend.\n//\n// The function:\n//  1. Increments the pending job counter (WaitGroup)\n//  2. Sends the job to the archiving channel (buffered, capacity 128)\n//  3. Returns immediately (non-blocking unless channel is full)\n//\n// The actual archiving is performed asynchronously by the worker goroutine.\n// Upon completion, the worker will decrement the pending counter.\n//\n// Panics if Start() has not been called first.\nfunc TriggerArchiving(job *schema.Job) {\n\tif archiveChannel == nil {\n\t\tcclog.Fatal(\"Cannot archive without archiving channel. Did you Start the archiver?\")\n\t}\n\n\tarchivePending.Add(1)\n\tarchiveChannel <- job\n}\n\n// Shutdown performs a graceful shutdown of the archiver with a configurable timeout.\n//\n// The shutdown process:\n//  1. Closes archiveChannel - no new jobs will be accepted\n//  2. Waits for pending jobs to complete (up to timeout duration)\n//  3. If timeout is exceeded:\n//     - Cancels shutdownCtx to interrupt ongoing ArchiveJob operations\n//     - Returns error indicating timeout\n//  4. Waits for worker goroutine to exit cleanly\n//\n// Parameters:\n//   - timeout: Maximum duration to wait for pending jobs to complete\n//     (recommended: 10-30 seconds for production)\n//\n// Returns:\n//   - nil if all jobs completed within timeout\n//   - error if timeout was exceeded (some jobs may not have been archived)\n//\n// Jobs that don't complete within the timeout will be marked as failed.\n// The function always ensures the worker goroutine exits before returning.\n//\n// Example:\n//\n//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n//\t    log.Printf(\"Some jobs did not complete: %v\", err)\n//\t}\nfunc Shutdown(timeout time.Duration) error {\n\tcclog.Info(\"Initiating archiver shutdown...\")\n\n\t// Close channel to signal no more jobs will be accepted\n\tclose(archiveChannel)\n\n\t// Create a channel to signal when all jobs are done\n\tdone := make(chan struct{})\n\tgo func() {\n\t\tarchivePending.Wait()\n\t\tclose(done)\n\t}()\n\n\t// Wait for jobs to complete or timeout\n\tselect {\n\tcase <-done:\n\t\tcclog.Info(\"All archive jobs completed successfully\")\n\t\t// Wait for worker to exit\n\t\t<-workerDone\n\t\treturn nil\n\tcase <-time.After(timeout):\n\t\tcclog.Warn(\"Archiver shutdown timeout exceeded, cancelling remaining operations\")\n\t\t// Cancel any ongoing operations\n\t\tshutdownCancel()\n\t\t// Wait for worker to exit\n\t\t<-workerDone\n\t\treturn fmt.Errorf(\"archiver shutdown timeout after %v\", timeout)\n\t}\n}\n","numLines":251,"startLine":1,"totalLines":251}},"sourceToolAssistantUUID":"5078ed1a-9d75-4bee-8ee0-4732ddef3c03","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"5c97780c-18a8-4a2a-bda6-c94e058252c8","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_013cwDLaYAaYE58p3bEr4xdp","toolUseID":"toolu_013cwDLaYAaYE58p3bEr4xdp","timestamp":"2026-03-16T10:20:16.434Z","uuid":"93d4ad0b-7ca8-47dd-af1a-cc3fd1fdd5ab","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"5c97780c-18a8-4a2a-bda6-c94e058252c8","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013cwDLaYAaYE58p3bEr4xdp","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package importer\n     7→\n     8→import (\n     9→\t\"bytes\"\n    10→\t\"encoding/json\"\n    11→\t\"fmt\"\n    12→\t\"os\"\n    13→\t\"strings\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    19→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    20→)\n    21→\n    22→// HandleImportFlag imports jobs from file pairs specified in a comma-separated flag string.\n    23→//\n    24→// The flag format is: \"<path-to-meta.json>:<path-to-data.json>[,<path-to-meta2.json>:<path-to-data2.json>,...]\"\n    25→//\n    26→// For each job pair, this function:\n    27→//  1. Reads and validates the metadata JSON file (schema.Job)\n    28→//  2. Reads and validates the job data JSON file (schema.JobData)\n    29→//  3. Enriches the job with calculated footprints and energy metrics\n    30→//  4. Validates the job using SanityChecks()\n    31→//  5. Imports the job into the archive\n    32→//  6. Inserts the job into the database with associated tags\n    33→//\n    34→// Schema validation is performed if config.Keys.Validate is true.\n    35→//\n    36→// Returns an error if file reading, validation, enrichment, or database operations fail.\n    37→// The function stops processing on the first error encountered.\n    38→func HandleImportFlag(flag string) error {\n    39→\tr := repository.GetJobRepository()\n    40→\n    41→\tfor pair := range strings.SplitSeq(flag, \",\") {\n    42→\t\tfiles := strings.Split(pair, \":\")\n    43→\t\tif len(files) != 2 {\n    44→\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > invalid import flag format\")\n    45→\t\t}\n    46→\n    47→\t\traw, err := os.ReadFile(files[0])\n    48→\t\tif err != nil {\n    49→\t\t\tcclog.Warn(\"Error while reading metadata file for import\")\n    50→\t\t\treturn err\n    51→\t\t}\n    52→\n    53→\t\tif config.Keys.Validate {\n    54→\t\t\tif err = schema.Validate(schema.Meta, bytes.NewReader(raw)); err != nil {\n    55→\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job meta: %v\", err)\n    56→\t\t\t}\n    57→\t\t}\n    58→\t\tdec := json.NewDecoder(bytes.NewReader(raw))\n    59→\t\tdec.DisallowUnknownFields()\n    60→\t\tjob := schema.Job{\n    61→\t\t\tShared:           \"none\",\n    62→\t\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n    63→\t\t}\n    64→\t\tif err = dec.Decode(&job); err != nil {\n    65→\t\t\tcclog.Warn(\"Error while decoding raw json metadata for import\")\n    66→\t\t\treturn err\n    67→\t\t}\n    68→\n    69→\t\traw, err = os.ReadFile(files[1])\n    70→\t\tif err != nil {\n    71→\t\t\tcclog.Warn(\"Error while reading jobdata file for import\")\n    72→\t\t\treturn err\n    73→\t\t}\n    74→\n    75→\t\tif config.Keys.Validate {\n    76→\t\t\tif err = schema.Validate(schema.Data, bytes.NewReader(raw)); err != nil {\n    77→\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job data: %v\", err)\n    78→\t\t\t}\n    79→\t\t}\n    80→\t\tdec = json.NewDecoder(bytes.NewReader(raw))\n    81→\t\tdec.DisallowUnknownFields()\n    82→\t\tjobData := schema.JobData{}\n    83→\t\tif err = dec.Decode(&jobData); err != nil {\n    84→\t\t\tcclog.Warn(\"Error while decoding raw json jobdata for import\")\n    85→\t\t\treturn err\n    86→\t\t}\n    87→\n    88→\t\tjob.MonitoringStatus = schema.MonitoringStatusArchivingSuccessful\n    89→\n    90→\t\tif err = enrichJobMetadata(&job); err != nil {\n    91→\t\t\tcclog.Errorf(\"Error enriching job metadata: %v\", err)\n    92→\t\t\treturn err\n    93→\t\t}\n    94→\n    95→\t\tif err = SanityChecks(&job); err != nil {\n    96→\t\t\tcclog.Warn(\"BaseJob SanityChecks failed\")\n    97→\t\t\treturn err\n    98→\t\t}\n    99→\n   100→\t\tif err = archive.GetHandle().ImportJob(&job, &jobData); err != nil {\n   101→\t\t\tcclog.Error(\"Error while importing job\")\n   102→\t\t\treturn err\n   103→\t\t}\n   104→\n   105→\t\tid, err := r.InsertJobDirect(&job)\n   106→\t\tif err != nil {\n   107→\t\t\tcclog.Warn(\"Error while job db insert\")\n   108→\t\t\treturn err\n   109→\t\t}\n   110→\n   111→\t\tfor _, tag := range job.Tags {\n   112→\t\t\tif err := r.ImportTag(id, tag.Type, tag.Name, tag.Scope); err != nil {\n   113→\t\t\t\tcclog.Error(\"Error while adding or creating tag on import\")\n   114→\t\t\t\treturn err\n   115→\t\t\t}\n   116→\t\t}\n   117→\n   118→\t\tcclog.Infof(\"successfully imported a new job (jobId: %d, cluster: %s, dbid: %d)\", job.JobID, job.Cluster, id)\n   119→\t}\n   120→\treturn nil\n   121→}\n   122→"}]},"uuid":"1c544148-1fc4-481e-a535-848ba4734d66","timestamp":"2026-03-16T10:20:16.434Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage importer\n\nimport (\n\t\"bytes\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// HandleImportFlag imports jobs from file pairs specified in a comma-separated flag string.\n//\n// The flag format is: \"<path-to-meta.json>:<path-to-data.json>[,<path-to-meta2.json>:<path-to-data2.json>,...]\"\n//\n// For each job pair, this function:\n//  1. Reads and validates the metadata JSON file (schema.Job)\n//  2. Reads and validates the job data JSON file (schema.JobData)\n//  3. Enriches the job with calculated footprints and energy metrics\n//  4. Validates the job using SanityChecks()\n//  5. Imports the job into the archive\n//  6. Inserts the job into the database with associated tags\n//\n// Schema validation is performed if config.Keys.Validate is true.\n//\n// Returns an error if file reading, validation, enrichment, or database operations fail.\n// The function stops processing on the first error encountered.\nfunc HandleImportFlag(flag string) error {\n\tr := repository.GetJobRepository()\n\n\tfor pair := range strings.SplitSeq(flag, \",\") {\n\t\tfiles := strings.Split(pair, \":\")\n\t\tif len(files) != 2 {\n\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > invalid import flag format\")\n\t\t}\n\n\t\traw, err := os.ReadFile(files[0])\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while reading metadata file for import\")\n\t\t\treturn err\n\t\t}\n\n\t\tif config.Keys.Validate {\n\t\t\tif err = schema.Validate(schema.Meta, bytes.NewReader(raw)); err != nil {\n\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job meta: %v\", err)\n\t\t\t}\n\t\t}\n\t\tdec := json.NewDecoder(bytes.NewReader(raw))\n\t\tdec.DisallowUnknownFields()\n\t\tjob := schema.Job{\n\t\t\tShared:           \"none\",\n\t\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t\t}\n\t\tif err = dec.Decode(&job); err != nil {\n\t\t\tcclog.Warn(\"Error while decoding raw json metadata for import\")\n\t\t\treturn err\n\t\t}\n\n\t\traw, err = os.ReadFile(files[1])\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while reading jobdata file for import\")\n\t\t\treturn err\n\t\t}\n\n\t\tif config.Keys.Validate {\n\t\t\tif err = schema.Validate(schema.Data, bytes.NewReader(raw)); err != nil {\n\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job data: %v\", err)\n\t\t\t}\n\t\t}\n\t\tdec = json.NewDecoder(bytes.NewReader(raw))\n\t\tdec.DisallowUnknownFields()\n\t\tjobData := schema.JobData{}\n\t\tif err = dec.Decode(&jobData); err != nil {\n\t\t\tcclog.Warn(\"Error while decoding raw json jobdata for import\")\n\t\t\treturn err\n\t\t}\n\n\t\tjob.MonitoringStatus = schema.MonitoringStatusArchivingSuccessful\n\n\t\tif err = enrichJobMetadata(&job); err != nil {\n\t\t\tcclog.Errorf(\"Error enriching job metadata: %v\", err)\n\t\t\treturn err\n\t\t}\n\n\t\tif err = SanityChecks(&job); err != nil {\n\t\t\tcclog.Warn(\"BaseJob SanityChecks failed\")\n\t\t\treturn err\n\t\t}\n\n\t\tif err = archive.GetHandle().ImportJob(&job, &jobData); err != nil {\n\t\t\tcclog.Error(\"Error while importing job\")\n\t\t\treturn err\n\t\t}\n\n\t\tid, err := r.InsertJobDirect(&job)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while job db insert\")\n\t\t\treturn err\n\t\t}\n\n\t\tfor _, tag := range job.Tags {\n\t\t\tif err := r.ImportTag(id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\t\tcclog.Error(\"Error while adding or creating tag on import\")\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\n\t\tcclog.Infof(\"successfully imported a new job (jobId: %d, cluster: %s, dbid: %d)\", job.JobID, job.Cluster, id)\n\t}\n\treturn nil\n}\n","numLines":122,"startLine":1,"totalLines":122}},"sourceToolAssistantUUID":"5c97780c-18a8-4a2a-bda6-c94e058252c8","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"bfc5483e-2e80-4a47-b8d6-fbd1216b1edf","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01NyQGq5HoKhuReqThQpgkSQ","toolUseID":"toolu_01NyQGq5HoKhuReqThQpgkSQ","timestamp":"2026-03-16T10:20:21.987Z","uuid":"fa2fe1da-d91b-4727-b9b4-768b0e78c339","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"bfc5483e-2e80-4a47-b8d6-fbd1216b1edf","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NyQGq5HoKhuReqThQpgkSQ","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"math\"\n    11→\t\"time\"\n    12→\n    13→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    14→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    16→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    17→\tsq \"github.com/Masterminds/squirrel\"\n    18→\t\"github.com/go-co-op/gocron/v2\"\n    19→)\n    20→\n    21→func RegisterFootprintWorker() {\n    22→\tvar frequency string\n    23→\tif Keys.FootprintWorker != \"\" {\n    24→\t\tfrequency = Keys.FootprintWorker\n    25→\t} else {\n    26→\t\tfrequency = \"10m\"\n    27→\t}\n    28→\n    29→\td, err := parseDuration(frequency)\n    30→\tif err != nil {\n    31→\t\tcclog.Errorf(\"RegisterFootprintWorker: %v\", err)\n    32→\t\treturn\n    33→\t}\n    34→\n    35→\tcclog.Infof(\"Register Footprint Update service with %s interval\", frequency)\n    36→\n    37→\ts.NewJob(gocron.DurationJob(d),\n    38→\t\tgocron.NewTask(\n    39→\t\t\tfunc() {\n    40→\t\t\t\ts := time.Now()\n    41→\t\t\t\tc := 0\n    42→\t\t\t\tce := 0\n    43→\t\t\t\tcl := 0\n    44→\t\t\t\tcclog.Infof(\"Update Footprints started at %s\", s.Format(time.RFC3339))\n    45→\n    46→\t\t\t\tfor _, cluster := range archive.Clusters {\n    47→\t\t\t\t\tsCluster := time.Now()\n    48→\t\t\t\t\tjobs, err := jobRepo.FindRunningJobs(cluster.Name)\n    49→\t\t\t\t\tif err != nil {\n    50→\t\t\t\t\t\tcontinue\n    51→\t\t\t\t\t}\n    52→\t\t\t\t\t// NOTE: Additional SubCluster Loop Could Allow For Limited List Of Footprint-Metrics Only.\n    53→\t\t\t\t\t//       - Chunk-Size Would Then Be 'SubCluster' (Running Jobs, Transactions) as Lists Can Change Within SCs\n    54→\t\t\t\t\t//       - Would Require Review of 'updateFootprint' Usage (Logic Could Possibly Be Included Here Completely)\n    55→\t\t\t\t\tallMetrics := make([]string, 0)\n    56→\t\t\t\t\tmetricConfigs := archive.GetCluster(cluster.Name).MetricConfig\n    57→\t\t\t\t\tfor _, mc := range metricConfigs {\n    58→\t\t\t\t\t\tallMetrics = append(allMetrics, mc.Name)\n    59→\t\t\t\t\t}\n    60→\n    61→\t\t\t\t\tpendingStatements := []sq.UpdateBuilder{}\n    62→\n    63→\t\t\t\t\tfor _, job := range jobs {\n    64→\t\t\t\t\t\tcclog.Debugf(\"Prepare job %d\", job.JobID)\n    65→\t\t\t\t\t\tcl++\n    66→\n    67→\t\t\t\t\t\tsJob := time.Now()\n    68→\n    69→\t\t\t\t\t\tms, err := metricdispatch.GetMetricDataRepo(job.Cluster, job.SubCluster)\n    70→\t\t\t\t\t\tif err != nil {\n    71→\t\t\t\t\t\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n    72→\t\t\t\t\t\t\t\tjob.Cluster, job.SubCluster, err.Error())\n    73→\t\t\t\t\t\t\tcontinue\n    74→\t\t\t\t\t\t}\n    75→\n    76→\t\t\t\t\t\tjobStats, err := ms.LoadStats(job, allMetrics, context.Background())\n    77→\t\t\t\t\t\tif err != nil {\n    78→\t\t\t\t\t\t\tcclog.Errorf(\"error wile loading job data stats for footprint update: %v\", err)\n    79→\t\t\t\t\t\t\tce++\n    80→\t\t\t\t\t\t\tcontinue\n    81→\t\t\t\t\t\t}\n    82→\n    83→\t\t\t\t\t\tjob.Statistics = make(map[string]schema.JobStatistics)\n    84→\n    85→\t\t\t\t\t\tfor _, metric := range allMetrics {\n    86→\t\t\t\t\t\t\tavg, min, max := 0.0, 0.0, 0.0\n    87→\t\t\t\t\t\t\tdata, ok := jobStats[metric] // JobStats[Metric1:[Hostname1:[Stats], Hostname2:[Stats], ...], Metric2[...] ...]\n    88→\t\t\t\t\t\t\tif ok {\n    89→\t\t\t\t\t\t\t\tfor _, res := range job.Resources {\n    90→\t\t\t\t\t\t\t\t\thostStats, ok := data[res.Hostname]\n    91→\t\t\t\t\t\t\t\t\tif ok {\n    92→\t\t\t\t\t\t\t\t\t\tavg += hostStats.Avg\n    93→\t\t\t\t\t\t\t\t\t\tmin = math.Min(min, hostStats.Min)\n    94→\t\t\t\t\t\t\t\t\t\tmax = math.Max(max, hostStats.Max)\n    95→\t\t\t\t\t\t\t\t\t}\n    96→\n    97→\t\t\t\t\t\t\t\t}\n    98→\t\t\t\t\t\t\t}\n    99→\n   100→\t\t\t\t\t\t\t// Add values rounded to 2 digits: repo.LoadStats may return unrounded\n   101→\t\t\t\t\t\t\tjob.Statistics[metric] = schema.JobStatistics{\n   102→\t\t\t\t\t\t\t\tUnit: schema.Unit{\n   103→\t\t\t\t\t\t\t\t\tPrefix: archive.GetMetricConfig(job.Cluster, metric).Unit.Prefix,\n   104→\t\t\t\t\t\t\t\t\tBase:   archive.GetMetricConfig(job.Cluster, metric).Unit.Base,\n   105→\t\t\t\t\t\t\t\t},\n   106→\t\t\t\t\t\t\t\tAvg: (math.Round((avg/float64(job.NumNodes))*100) / 100),\n   107→\t\t\t\t\t\t\t\tMin: (math.Round(min*100) / 100),\n   108→\t\t\t\t\t\t\t\tMax: (math.Round(max*100) / 100),\n   109→\t\t\t\t\t\t\t}\n   110→\t\t\t\t\t\t}\n   111→\n   112→\t\t\t\t\t\t// Build Statement per Job, Add to Pending Array\n   113→\t\t\t\t\t\tstmt := sq.Update(\"job\")\n   114→\t\t\t\t\t\tstmt, err = jobRepo.UpdateFootprint(stmt, job)\n   115→\t\t\t\t\t\tif err != nil {\n   116→\t\t\t\t\t\t\tcclog.Errorf(\"update job (dbid: %d) statement build failed at footprint step: %s\", *job.ID, err.Error())\n   117→\t\t\t\t\t\t\tce++\n   118→\t\t\t\t\t\t\tcontinue\n   119→\t\t\t\t\t\t}\n   120→\t\t\t\t\t\tstmt = stmt.Where(\"job.id = ?\", job.ID)\n   121→\n   122→\t\t\t\t\t\tpendingStatements = append(pendingStatements, stmt)\n   123→\t\t\t\t\t\tcclog.Debugf(\"Job %d took %s\", job.JobID, time.Since(sJob))\n   124→\t\t\t\t\t}\n   125→\n   126→\t\t\t\t\tt, err := jobRepo.TransactionInit()\n   127→\t\t\t\t\tif err != nil {\n   128→\t\t\t\t\t\tcclog.Errorf(\"failed TransactionInit %v\", err)\n   129→\t\t\t\t\t\tcclog.Errorf(\"skipped %d transactions for cluster %s\", len(pendingStatements), cluster.Name)\n   130→\t\t\t\t\t\tce += len(pendingStatements)\n   131→\t\t\t\t\t} else {\n   132→\t\t\t\t\t\tfor _, ps := range pendingStatements {\n   133→\t\t\t\t\t\t\tquery, args, err := ps.ToSql()\n   134→\t\t\t\t\t\t\tif err != nil {\n   135→\t\t\t\t\t\t\t\tcclog.Errorf(\"failed in ToSQL conversion: %v\", err)\n   136→\t\t\t\t\t\t\t\tce++\n   137→\t\t\t\t\t\t\t} else {\n   138→\t\t\t\t\t\t\t\t// args...: Footprint-JSON, Energyfootprint-JSON, TotalEnergy, JobID\n   139→\t\t\t\t\t\t\t\tjobRepo.TransactionAdd(t, query, args...)\n   140→\t\t\t\t\t\t\t\tc++\n   141→\t\t\t\t\t\t\t}\n   142→\t\t\t\t\t\t}\n   143→\t\t\t\t\t\tjobRepo.TransactionEnd(t)\n   144→\t\t\t\t\t}\n   145→\t\t\t\t\tcclog.Debugf(\"Finish Cluster %s, took %s\\n\", cluster.Name, time.Since(sCluster))\n   146→\t\t\t\t}\n   147→\t\t\t\tcclog.Infof(\"Updating %d (of %d; Skipped %d) Footprints is done and took %s\", c, cl, ce, time.Since(s))\n   148→\t\t\t}))\n   149→}\n   150→"}]},"uuid":"87a4201c-478c-481a-a777-cd0ab95957f3","timestamp":"2026-03-16T10:20:21.987Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage taskmanager\n\nimport (\n\t\"context\"\n\t\"math\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/go-co-op/gocron/v2\"\n)\n\nfunc RegisterFootprintWorker() {\n\tvar frequency string\n\tif Keys.FootprintWorker != \"\" {\n\t\tfrequency = Keys.FootprintWorker\n\t} else {\n\t\tfrequency = \"10m\"\n\t}\n\n\td, err := parseDuration(frequency)\n\tif err != nil {\n\t\tcclog.Errorf(\"RegisterFootprintWorker: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Register Footprint Update service with %s interval\", frequency)\n\n\ts.NewJob(gocron.DurationJob(d),\n\t\tgocron.NewTask(\n\t\t\tfunc() {\n\t\t\t\ts := time.Now()\n\t\t\t\tc := 0\n\t\t\t\tce := 0\n\t\t\t\tcl := 0\n\t\t\t\tcclog.Infof(\"Update Footprints started at %s\", s.Format(time.RFC3339))\n\n\t\t\t\tfor _, cluster := range archive.Clusters {\n\t\t\t\t\tsCluster := time.Now()\n\t\t\t\t\tjobs, err := jobRepo.FindRunningJobs(cluster.Name)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\t// NOTE: Additional SubCluster Loop Could Allow For Limited List Of Footprint-Metrics Only.\n\t\t\t\t\t//       - Chunk-Size Would Then Be 'SubCluster' (Running Jobs, Transactions) as Lists Can Change Within SCs\n\t\t\t\t\t//       - Would Require Review of 'updateFootprint' Usage (Logic Could Possibly Be Included Here Completely)\n\t\t\t\t\tallMetrics := make([]string, 0)\n\t\t\t\t\tmetricConfigs := archive.GetCluster(cluster.Name).MetricConfig\n\t\t\t\t\tfor _, mc := range metricConfigs {\n\t\t\t\t\t\tallMetrics = append(allMetrics, mc.Name)\n\t\t\t\t\t}\n\n\t\t\t\t\tpendingStatements := []sq.UpdateBuilder{}\n\n\t\t\t\t\tfor _, job := range jobs {\n\t\t\t\t\t\tcclog.Debugf(\"Prepare job %d\", job.JobID)\n\t\t\t\t\t\tcl++\n\n\t\t\t\t\t\tsJob := time.Now()\n\n\t\t\t\t\t\tms, err := metricdispatch.GetMetricDataRepo(job.Cluster, job.SubCluster)\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\t\t\t\t\t\tjob.Cluster, job.SubCluster, err.Error())\n\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tjobStats, err := ms.LoadStats(job, allMetrics, context.Background())\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"error wile loading job data stats for footprint update: %v\", err)\n\t\t\t\t\t\t\tce++\n\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tjob.Statistics = make(map[string]schema.JobStatistics)\n\n\t\t\t\t\t\tfor _, metric := range allMetrics {\n\t\t\t\t\t\t\tavg, min, max := 0.0, 0.0, 0.0\n\t\t\t\t\t\t\tdata, ok := jobStats[metric] // JobStats[Metric1:[Hostname1:[Stats], Hostname2:[Stats], ...], Metric2[...] ...]\n\t\t\t\t\t\t\tif ok {\n\t\t\t\t\t\t\t\tfor _, res := range job.Resources {\n\t\t\t\t\t\t\t\t\thostStats, ok := data[res.Hostname]\n\t\t\t\t\t\t\t\t\tif ok {\n\t\t\t\t\t\t\t\t\t\tavg += hostStats.Avg\n\t\t\t\t\t\t\t\t\t\tmin = math.Min(min, hostStats.Min)\n\t\t\t\t\t\t\t\t\t\tmax = math.Max(max, hostStats.Max)\n\t\t\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t// Add values rounded to 2 digits: repo.LoadStats may return unrounded\n\t\t\t\t\t\t\tjob.Statistics[metric] = schema.JobStatistics{\n\t\t\t\t\t\t\t\tUnit: schema.Unit{\n\t\t\t\t\t\t\t\t\tPrefix: archive.GetMetricConfig(job.Cluster, metric).Unit.Prefix,\n\t\t\t\t\t\t\t\t\tBase:   archive.GetMetricConfig(job.Cluster, metric).Unit.Base,\n\t\t\t\t\t\t\t\t},\n\t\t\t\t\t\t\t\tAvg: (math.Round((avg/float64(job.NumNodes))*100) / 100),\n\t\t\t\t\t\t\t\tMin: (math.Round(min*100) / 100),\n\t\t\t\t\t\t\t\tMax: (math.Round(max*100) / 100),\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\t// Build Statement per Job, Add to Pending Array\n\t\t\t\t\t\tstmt := sq.Update(\"job\")\n\t\t\t\t\t\tstmt, err = jobRepo.UpdateFootprint(stmt, job)\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"update job (dbid: %d) statement build failed at footprint step: %s\", *job.ID, err.Error())\n\t\t\t\t\t\t\tce++\n\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t}\n\t\t\t\t\t\tstmt = stmt.Where(\"job.id = ?\", job.ID)\n\n\t\t\t\t\t\tpendingStatements = append(pendingStatements, stmt)\n\t\t\t\t\t\tcclog.Debugf(\"Job %d took %s\", job.JobID, time.Since(sJob))\n\t\t\t\t\t}\n\n\t\t\t\t\tt, err := jobRepo.TransactionInit()\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"failed TransactionInit %v\", err)\n\t\t\t\t\t\tcclog.Errorf(\"skipped %d transactions for cluster %s\", len(pendingStatements), cluster.Name)\n\t\t\t\t\t\tce += len(pendingStatements)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tfor _, ps := range pendingStatements {\n\t\t\t\t\t\t\tquery, args, err := ps.ToSql()\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"failed in ToSQL conversion: %v\", err)\n\t\t\t\t\t\t\t\tce++\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\t// args...: Footprint-JSON, Energyfootprint-JSON, TotalEnergy, JobID\n\t\t\t\t\t\t\t\tjobRepo.TransactionAdd(t, query, args...)\n\t\t\t\t\t\t\t\tc++\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t\tjobRepo.TransactionEnd(t)\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Debugf(\"Finish Cluster %s, took %s\\n\", cluster.Name, time.Since(sCluster))\n\t\t\t\t}\n\t\t\t\tcclog.Infof(\"Updating %d (of %d; Skipped %d) Footprints is done and took %s\", c, cl, ce, time.Since(s))\n\t\t\t}))\n}\n","numLines":150,"startLine":1,"totalLines":150}},"sourceToolAssistantUUID":"bfc5483e-2e80-4a47-b8d6-fbd1216b1edf","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"b14cef18-8d16-4d22-9829-66379572f507","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0195DFsKrvHLqVJHLyvfkkWr","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"time\"\n    10→\n    11→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    12→\t\"github.com/go-co-op/gocron/v2\"\n    13→)\n    14→\n    15→func RegisterUpdateDurationWorker() {\n    16→\tvar frequency string\n    17→\tif Keys.DurationWorker != \"\" {\n    18→\t\tfrequency = Keys.DurationWorker\n    19→\t} else {\n    20→\t\tfrequency = \"5m\"\n    21→\t}\n    22→\n    23→\td, err := parseDuration(frequency)\n    24→\tif err != nil {\n    25→\t\tcclog.Errorf(\"RegisterUpdateDurationWorker: %v\", err)\n    26→\t\treturn\n    27→\t}\n    28→\n    29→\tcclog.Infof(\"Register Duration Update service with %s interval\", frequency)\n    30→\n    31→\ts.NewJob(gocron.DurationJob(d),\n    32→\t\tgocron.NewTask(\n    33→\t\t\tfunc() {\n    34→\t\t\t\tstart := time.Now()\n    35→\t\t\t\tcclog.Infof(\"Update duration started at %s\", start.Format(time.RFC3339))\n    36→\t\t\t\tjobRepo.UpdateDuration()\n    37→\t\t\t\tcclog.Infof(\"Update duration is done and took %s\", time.Since(start))\n    38→\t\t\t}))\n    39→}\n    40→"}]},"uuid":"8a6ed30b-b6be-4712-a630-e98681852f68","timestamp":"2026-03-16T10:20:22.343Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateDurationService.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage taskmanager\n\nimport (\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/go-co-op/gocron/v2\"\n)\n\nfunc RegisterUpdateDurationWorker() {\n\tvar frequency string\n\tif Keys.DurationWorker != \"\" {\n\t\tfrequency = Keys.DurationWorker\n\t} else {\n\t\tfrequency = \"5m\"\n\t}\n\n\td, err := parseDuration(frequency)\n\tif err != nil {\n\t\tcclog.Errorf(\"RegisterUpdateDurationWorker: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Register Duration Update service with %s interval\", frequency)\n\n\ts.NewJob(gocron.DurationJob(d),\n\t\tgocron.NewTask(\n\t\t\tfunc() {\n\t\t\t\tstart := time.Now()\n\t\t\t\tcclog.Infof(\"Update duration started at %s\", start.Format(time.RFC3339))\n\t\t\t\tjobRepo.UpdateDuration()\n\t\t\t\tcclog.Infof(\"Update duration is done and took %s\", time.Since(start))\n\t\t\t}))\n}\n","numLines":40,"startLine":1,"totalLines":40}},"sourceToolAssistantUUID":"b14cef18-8d16-4d22-9829-66379572f507","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"3ce3bea2-f3ac-4821-8d5b-2c856d9a0481","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BMUnpCkFtrCg7vC1z1GFcB","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package repository\n     6→\n     7→import (\n     8→\t\"fmt\"\n     9→\n    10→\t\"github.com/jmoiron/sqlx\"\n    11→)\n    12→\n    13→// Transaction wraps a database transaction for job-related operations.\n    14→type Transaction struct {\n    15→\ttx *sqlx.Tx\n    16→}\n    17→\n    18→// TransactionInit begins a new transaction.\n    19→func (r *JobRepository) TransactionInit() (*Transaction, error) {\n    20→\ttx, err := r.DB.Beginx()\n    21→\tif err != nil {\n    22→\t\treturn nil, fmt.Errorf(\"beginning transaction: %w\", err)\n    23→\t}\n    24→\treturn &Transaction{tx: tx}, nil\n    25→}\n    26→\n    27→// Commit commits the transaction.\n    28→// After calling Commit, the transaction should not be used again.\n    29→func (t *Transaction) Commit() error {\n    30→\tif t.tx == nil {\n    31→\t\treturn fmt.Errorf(\"transaction already committed or rolled back\")\n    32→\t}\n    33→\terr := t.tx.Commit()\n    34→\tt.tx = nil // Mark as completed\n    35→\tif err != nil {\n    36→\t\treturn fmt.Errorf(\"committing transaction: %w\", err)\n    37→\t}\n    38→\treturn nil\n    39→}\n    40→\n    41→// Rollback rolls back the transaction.\n    42→// It's safe to call Rollback on an already committed or rolled back transaction.\n    43→func (t *Transaction) Rollback() error {\n    44→\tif t.tx == nil {\n    45→\t\treturn nil // Already committed/rolled back\n    46→\t}\n    47→\terr := t.tx.Rollback()\n    48→\tt.tx = nil // Mark as completed\n    49→\tif err != nil {\n    50→\t\treturn fmt.Errorf(\"rolling back transaction: %w\", err)\n    51→\t}\n    52→\treturn nil\n    53→}\n    54→\n    55→// TransactionEnd commits the transaction.\n    56→// Deprecated: Use Commit() instead.\n    57→func (r *JobRepository) TransactionEnd(t *Transaction) error {\n    58→\treturn t.Commit()\n    59→}\n    60→\n    61→// TransactionAddNamed executes a named query within the transaction.\n    62→func (r *JobRepository) TransactionAddNamed(\n    63→\tt *Transaction,\n    64→\tquery string,\n    65→\targs ...any,\n    66→) (int64, error) {\n    67→\tif t.tx == nil {\n    68→\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n    69→\t}\n    70→\n    71→\tres, err := t.tx.NamedExec(query, args)\n    72→\tif err != nil {\n    73→\t\treturn 0, fmt.Errorf(\"named exec: %w\", err)\n    74→\t}\n    75→\n    76→\tid, err := res.LastInsertId()\n    77→\tif err != nil {\n    78→\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n    79→\t}\n    80→\n    81→\treturn id, nil\n    82→}\n    83→\n    84→// TransactionAdd executes a query within the transaction.\n    85→func (r *JobRepository) TransactionAdd(t *Transaction, query string, args ...any) (int64, error) {\n    86→\tif t.tx == nil {\n    87→\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n    88→\t}\n    89→\n    90→\tres, err := t.tx.Exec(query, args...)\n    91→\tif err != nil {\n    92→\t\treturn 0, fmt.Errorf(\"exec: %w\", err)\n    93→\t}\n    94→\n    95→\tid, err := res.LastInsertId()\n    96→\tif err != nil {\n    97→\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n    98→\t}\n    99→\n   100→\treturn id, nil\n   101→}\n   102→"}]},"uuid":"b7fd8b96-d53a-4e3d-92e3-cbb01b84bd67","timestamp":"2026-03-16T10:20:22.637Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/transaction.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage repository\n\nimport (\n\t\"fmt\"\n\n\t\"github.com/jmoiron/sqlx\"\n)\n\n// Transaction wraps a database transaction for job-related operations.\ntype Transaction struct {\n\ttx *sqlx.Tx\n}\n\n// TransactionInit begins a new transaction.\nfunc (r *JobRepository) TransactionInit() (*Transaction, error) {\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\treturn nil, fmt.Errorf(\"beginning transaction: %w\", err)\n\t}\n\treturn &Transaction{tx: tx}, nil\n}\n\n// Commit commits the transaction.\n// After calling Commit, the transaction should not be used again.\nfunc (t *Transaction) Commit() error {\n\tif t.tx == nil {\n\t\treturn fmt.Errorf(\"transaction already committed or rolled back\")\n\t}\n\terr := t.tx.Commit()\n\tt.tx = nil // Mark as completed\n\tif err != nil {\n\t\treturn fmt.Errorf(\"committing transaction: %w\", err)\n\t}\n\treturn nil\n}\n\n// Rollback rolls back the transaction.\n// It's safe to call Rollback on an already committed or rolled back transaction.\nfunc (t *Transaction) Rollback() error {\n\tif t.tx == nil {\n\t\treturn nil // Already committed/rolled back\n\t}\n\terr := t.tx.Rollback()\n\tt.tx = nil // Mark as completed\n\tif err != nil {\n\t\treturn fmt.Errorf(\"rolling back transaction: %w\", err)\n\t}\n\treturn nil\n}\n\n// TransactionEnd commits the transaction.\n// Deprecated: Use Commit() instead.\nfunc (r *JobRepository) TransactionEnd(t *Transaction) error {\n\treturn t.Commit()\n}\n\n// TransactionAddNamed executes a named query within the transaction.\nfunc (r *JobRepository) TransactionAddNamed(\n\tt *Transaction,\n\tquery string,\n\targs ...any,\n) (int64, error) {\n\tif t.tx == nil {\n\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n\t}\n\n\tres, err := t.tx.NamedExec(query, args)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"named exec: %w\", err)\n\t}\n\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n\t}\n\n\treturn id, nil\n}\n\n// TransactionAdd executes a query within the transaction.\nfunc (r *JobRepository) TransactionAdd(t *Transaction, query string, args ...any) (int64, error) {\n\tif t.tx == nil {\n\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n\t}\n\n\tres, err := t.tx.Exec(query, args...)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"exec: %w\", err)\n\t}\n\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n\t}\n\n\treturn id, nil\n}\n","numLines":102,"startLine":1,"totalLines":102}},"sourceToolAssistantUUID":"3ce3bea2-f3ac-4821-8d5b-2c856d9a0481","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"a0388b2d-5128-4103-a3e9-1b403aebd634","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01KVbjcaCsS9yWbGRFmuWN14","toolUseID":"toolu_01KVbjcaCsS9yWbGRFmuWN14","timestamp":"2026-03-16T10:20:28.748Z","uuid":"7ff5012e-a437-4db5-b10f-08c9cbb8719d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"f0597a67-7b23-4535-ad3d-c7f6504b2cfe","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01NmDyVGR14m56zJq4osBX8r","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PhVPX1dgq6sxbbDWj6iFRa","name":"Write","input":{"file_path":"/Users/jan/.claude/plans/woolly-wandering-narwhal.md","content":"# Additional SQLite Write Contention Reductions\n\n## Context\n\nFixes 1-5 (busy_timeout, batch node states, LDAP sync, NATS semaphores, SyncJobs transaction) are already implemented. This plan identifies **remaining** opportunities to reduce DB write pressure through transactions and batching.\n\nAfter reviewing all write paths in the codebase, most periodic tasks are already well-optimized:\n- `UpdateDuration` — single bulk UPDATE, efficient\n- `StopJobsExceedingWalltimeBy` — single bulk UPDATE, efficient\n- `DeleteJobsBefore` — single bulk DELETE, efficient\n- Footprint worker — already uses `TransactionInit/TransactionAdd/TransactionEnd` per cluster\n- Archiver — chains UpdateFootprint + UpdateEnergy + MarkArchived into single `sq.Update` statement, efficient\n\nThe remaining opportunities are in **tag operations**, **TransferCachedJobToMain**, and **job imports**.\n\n---\n\n## Fix 6: Wrap TransferCachedJobToMain in a Transaction\n\n**File:** `internal/repository/jobCreate.go:130-149`\n\nCurrently does INSERT + DELETE as two separate `r.DB.Exec()` calls. If the process crashes between them, the job_cache row is orphaned (duplicate on next SyncJobs).\n\n**Change:** Wrap both operations in a transaction:\n```go\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n    tx, err := r.DB.Beginx()\n    // INSERT INTO job ... SELECT ... FROM job_cache WHERE id = ?\n    // newID from LastInsertId\n    // DELETE FROM job_cache WHERE id = ?\n    // tx.Commit()\n}\n```\n\n**Impact:** Atomicity + 1 lock acquisition instead of 2. Called per job stop from cache path.\n\n---\n\n## Fix 7: Batch Tag Operations on Job Start (NATS + REST)\n\n**File:** `internal/api/nats.go:228-233` — loops `AddTagOrCreate` per tag\n**File:** `internal/api/job.go` — same pattern in `startJob` REST handler\n\nCurrently each tag does: SELECT tag → INSERT tag (if new) → SELECT job → INSERT jobtag → SELECT tags → archive.UpdateTags. For a job with 5 tags = 30 individual DB operations.\n\n**Change:** Add `BatchAddTagsDirect` to `internal/repository/tags.go`:\n- Accept jobID + slice of tags\n- Begin transaction\n- For each tag: resolve/create tag ID, INSERT jobtag — all within same transaction\n- Commit\n- Single archive.UpdateTags call at the end (outside transaction)\n\nThen update callers:\n- `internal/api/nats.go:228-233` — replace loop with `BatchAddTagsDirect`\n- `internal/api/job.go` (startJob REST handler) — same change\n\n**Keep** existing `AddTagOrCreate` for single-tag use cases (GraphQL, REST tag endpoint).\n\n**Impact:** N tags = 1 transaction + 1 archive update instead of N * 5 separate operations. Most impactful when scheduler sends jobs with multiple tags.\n\n---\n\n## Fix 8: Batch Tag Imports\n\n**File:** `internal/importer/handleImport.go:111-116` — loops `ImportTag` per tag per job\n\nCurrently each tag does: SELECT tag → INSERT tag (if new) → INSERT jobtag. For 100 jobs with 3 tags each = 600+ individual operations.\n\n**Change:** Add `BatchImportTags` to `internal/repository/tags.go`:\n- Accept jobID + slice of (type, name, scope)\n- Begin transaction\n- For each tag: resolve/create tag ID + INSERT jobtag\n- Commit\n\nUpdate `handleImport.go` to call `BatchImportTags` instead of the loop.\n\n**Impact:** Reduces lock acquisitions from 2*N to 1 per job's tags during import. Import is a startup-only operation but can be long-running for large archives.\n\n---\n\n## Fix 9: Wrap RemoveTagByID in a Transaction\n\n**File:** `internal/repository/tags.go:216-244`\n\nCurrently does DELETE FROM jobtag + DELETE FROM tag as two separate operations. If the second fails, jobtag rows are gone but the orphaned tag row remains.\n\n**Change:**\n```go\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n    jobIds, err := r.FindJobIdsByTag(tagID)\n    // ...\n    tx, err := r.DB.Beginx()\n    defer tx.Rollback()\n    // DELETE FROM jobtag WHERE tag_id = ?  (on tx)\n    // DELETE FROM tag WHERE id = ?  (on tx)\n    tx.Commit()\n    go r.removeTagFromArchiveJobs(jobIds)\n}\n```\n\n**Impact:** Atomicity for tag deletion. Low frequency (admin operation) but prevents orphaned data.\n\n---\n\n## Implementation Order\n\n1. **Fix 6** (TransferCachedJobToMain) — trivial, fixes a real atomicity bug\n2. **Fix 7** (batch tags on job start) — biggest remaining contention reduction for NATS path\n3. **Fix 8** (batch tag imports) — only affects import, but easy once Fix 7 pattern exists\n4. **Fix 9** (RemoveTagByID transaction) — minor, correctness improvement\n\n---\n\n## Files to Modify\n\n| File | Changes |\n|------|---------|\n| `internal/repository/jobCreate.go` | Fix 6: wrap TransferCachedJobToMain in transaction |\n| `internal/repository/tags.go` | Fix 7: add `BatchAddTagsDirect`; Fix 8: add `BatchImportTags`; Fix 9: transaction in RemoveTagByID |\n| `internal/api/nats.go` | Fix 7: use BatchAddTagsDirect in handleStartJob |\n| `internal/api/job.go` | Fix 7: use BatchAddTagsDirect in startJob REST handler |\n| `internal/importer/handleImport.go` | Fix 8: use BatchImportTags |\n\n---\n\n## What NOT to Change\n\nThese are already efficient and don't need modification:\n- `UpdateDuration` — single bulk UPDATE\n- `StopJobsExceedingWalltimeBy` — single bulk UPDATE\n- `DeleteJobsBefore` — single bulk DELETE\n- Footprint worker — already transactional per cluster\n- Archiver — already chains SETs into single UPDATE via Squirrel builder\n- `UpdateUser` — admin-only, very low frequency, not worth the complexity\n- `AddUser` deprecated metrics loop — marked DEPRECATED, will be removed; not worth optimizing\n\n---\n\n## Verification\n\n1. `go test ./internal/repository/... ./internal/api/... ./internal/importer/...`\n2. After Fix 6: verify `TransferCachedJobToMain` atomicity — stop a job that's in cache, check job table has correct ID and cache is empty\n3. After Fix 7: start a job with multiple tags via NATS — verify all tags appear, check that only 1 transaction was used (enable debug logging)\n4. After Fix 9: delete a tag via GraphQL — verify both tag and jobtag rows removed atomically\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2503,"cache_read_input_tokens":114295,"output_tokens":1912,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2503,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6bEMMkG4V511Dsu7bkm","type":"assistant","uuid":"b4439843-d8a6-40b1-9d71-93da5b44f966","timestamp":"2026-03-16T10:21:13.155Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"b4439843-d8a6-40b1-9d71-93da5b44f966","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PhVPX1dgq6sxbbDWj6iFRa","type":"tool_result","content":"The file /Users/jan/.claude/plans/woolly-wandering-narwhal.md has been updated successfully."}]},"uuid":"0f9e07a1-3eb3-4713-b47e-0c653524b515","timestamp":"2026-03-16T10:21:13.171Z","toolUseResult":{"type":"update","filePath":"/Users/jan/.claude/plans/woolly-wandering-narwhal.md","content":"# Additional SQLite Write Contention Reductions\n\n## Context\n\nFixes 1-5 (busy_timeout, batch node states, LDAP sync, NATS semaphores, SyncJobs transaction) are already implemented. This plan identifies **remaining** opportunities to reduce DB write pressure through transactions and batching.\n\nAfter reviewing all write paths in the codebase, most periodic tasks are already well-optimized:\n- `UpdateDuration` — single bulk UPDATE, efficient\n- `StopJobsExceedingWalltimeBy` — single bulk UPDATE, efficient\n- `DeleteJobsBefore` — single bulk DELETE, efficient\n- Footprint worker — already uses `TransactionInit/TransactionAdd/TransactionEnd` per cluster\n- Archiver — chains UpdateFootprint + UpdateEnergy + MarkArchived into single `sq.Update` statement, efficient\n\nThe remaining opportunities are in **tag operations**, **TransferCachedJobToMain**, and **job imports**.\n\n---\n\n## Fix 6: Wrap TransferCachedJobToMain in a Transaction\n\n**File:** `internal/repository/jobCreate.go:130-149`\n\nCurrently does INSERT + DELETE as two separate `r.DB.Exec()` calls. If the process crashes between them, the job_cache row is orphaned (duplicate on next SyncJobs).\n\n**Change:** Wrap both operations in a transaction:\n```go\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n    tx, err := r.DB.Beginx()\n    // INSERT INTO job ... SELECT ... FROM job_cache WHERE id = ?\n    // newID from LastInsertId\n    // DELETE FROM job_cache WHERE id = ?\n    // tx.Commit()\n}\n```\n\n**Impact:** Atomicity + 1 lock acquisition instead of 2. Called per job stop from cache path.\n\n---\n\n## Fix 7: Batch Tag Operations on Job Start (NATS + REST)\n\n**File:** `internal/api/nats.go:228-233` — loops `AddTagOrCreate` per tag\n**File:** `internal/api/job.go` — same pattern in `startJob` REST handler\n\nCurrently each tag does: SELECT tag → INSERT tag (if new) → SELECT job → INSERT jobtag → SELECT tags → archive.UpdateTags. For a job with 5 tags = 30 individual DB operations.\n\n**Change:** Add `BatchAddTagsDirect` to `internal/repository/tags.go`:\n- Accept jobID + slice of tags\n- Begin transaction\n- For each tag: resolve/create tag ID, INSERT jobtag — all within same transaction\n- Commit\n- Single archive.UpdateTags call at the end (outside transaction)\n\nThen update callers:\n- `internal/api/nats.go:228-233` — replace loop with `BatchAddTagsDirect`\n- `internal/api/job.go` (startJob REST handler) — same change\n\n**Keep** existing `AddTagOrCreate` for single-tag use cases (GraphQL, REST tag endpoint).\n\n**Impact:** N tags = 1 transaction + 1 archive update instead of N * 5 separate operations. Most impactful when scheduler sends jobs with multiple tags.\n\n---\n\n## Fix 8: Batch Tag Imports\n\n**File:** `internal/importer/handleImport.go:111-116` — loops `ImportTag` per tag per job\n\nCurrently each tag does: SELECT tag → INSERT tag (if new) → INSERT jobtag. For 100 jobs with 3 tags each = 600+ individual operations.\n\n**Change:** Add `BatchImportTags` to `internal/repository/tags.go`:\n- Accept jobID + slice of (type, name, scope)\n- Begin transaction\n- For each tag: resolve/create tag ID + INSERT jobtag\n- Commit\n\nUpdate `handleImport.go` to call `BatchImportTags` instead of the loop.\n\n**Impact:** Reduces lock acquisitions from 2*N to 1 per job's tags during import. Import is a startup-only operation but can be long-running for large archives.\n\n---\n\n## Fix 9: Wrap RemoveTagByID in a Transaction\n\n**File:** `internal/repository/tags.go:216-244`\n\nCurrently does DELETE FROM jobtag + DELETE FROM tag as two separate operations. If the second fails, jobtag rows are gone but the orphaned tag row remains.\n\n**Change:**\n```go\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n    jobIds, err := r.FindJobIdsByTag(tagID)\n    // ...\n    tx, err := r.DB.Beginx()\n    defer tx.Rollback()\n    // DELETE FROM jobtag WHERE tag_id = ?  (on tx)\n    // DELETE FROM tag WHERE id = ?  (on tx)\n    tx.Commit()\n    go r.removeTagFromArchiveJobs(jobIds)\n}\n```\n\n**Impact:** Atomicity for tag deletion. Low frequency (admin operation) but prevents orphaned data.\n\n---\n\n## Implementation Order\n\n1. **Fix 6** (TransferCachedJobToMain) — trivial, fixes a real atomicity bug\n2. **Fix 7** (batch tags on job start) — biggest remaining contention reduction for NATS path\n3. **Fix 8** (batch tag imports) — only affects import, but easy once Fix 7 pattern exists\n4. **Fix 9** (RemoveTagByID transaction) — minor, correctness improvement\n\n---\n\n## Files to Modify\n\n| File | Changes |\n|------|---------|\n| `internal/repository/jobCreate.go` | Fix 6: wrap TransferCachedJobToMain in transaction |\n| `internal/repository/tags.go` | Fix 7: add `BatchAddTagsDirect`; Fix 8: add `BatchImportTags`; Fix 9: transaction in RemoveTagByID |\n| `internal/api/nats.go` | Fix 7: use BatchAddTagsDirect in handleStartJob |\n| `internal/api/job.go` | Fix 7: use BatchAddTagsDirect in startJob REST handler |\n| `internal/importer/handleImport.go` | Fix 8: use BatchImportTags |\n\n---\n\n## What NOT to Change\n\nThese are already efficient and don't need modification:\n- `UpdateDuration` — single bulk UPDATE\n- `StopJobsExceedingWalltimeBy` — single bulk UPDATE\n- `DeleteJobsBefore` — single bulk DELETE\n- Footprint worker — already transactional per cluster\n- Archiver — already chains SETs into single UPDATE via Squirrel builder\n- `UpdateUser` — admin-only, very low frequency, not worth the complexity\n- `AddUser` deprecated metrics loop — marked DEPRECATED, will be removed; not worth optimizing\n\n---\n\n## Verification\n\n1. `go test ./internal/repository/... ./internal/api/... ./internal/importer/...`\n2. After Fix 6: verify `TransferCachedJobToMain` atomicity — stop a job that's in cache, check job table has correct ID and cache is empty\n3. After Fix 7: start a job with multiple tags via NATS — verify all tags appear, check that only 1 transaction was used (enable debug logging)\n4. After Fix 9: delete a tag via GraphQL — verify both tag and jobtag rows removed atomically\n","structuredPatch":[{"oldStart":1,"oldLines":126,"newStart":1,"newLines":144,"lines":["-# Fix: SQLite Write Contention Causing OOM Crash","+# Additional SQLite Write Contention Reductions"," "," ## Context"," ","-The server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.","+Fixes 1-5 (busy_timeout, batch node states, LDAP sync, NATS semaphores, SyncJobs transaction) are already implemented. This plan identifies **remaining** opportunities to reduce DB write pressure through transactions and batching."," ","-**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.","+After reviewing all write paths in the codebase, most periodic tasks are already well-optimized:","+- `UpdateDuration` — single bulk UPDATE, efficient","+- `StopJobsExceedingWalltimeBy` — single bulk UPDATE, efficient","+- `DeleteJobsBefore` — single bulk DELETE, efficient","+- Footprint worker — already uses `TransactionInit/TransactionAdd/TransactionEnd` per cluster","+- Archiver — chains UpdateFootprint + UpdateEnergy + MarkArchived into single `sq.Update` statement, efficient"," ","-The cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.","+The remaining opportunities are in **tag operations**, **TransferCachedJobToMain**, and **job imports**."," "," ---"," ","-## Fix 1: Increase busy_timeout (contention relief)","+## Fix 6: Wrap TransferCachedJobToMain in a Transaction"," ","-**File:** `internal/repository/dbConnection.go:73`","+**File:** `internal/repository/jobCreate.go:130-149`"," ","-Change `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:","+Currently does INSERT + DELETE as two separate `r.DB.Exec()` calls. If the process crashes between them, the job_cache row is orphaned (duplicate on next SyncJobs)."," ","-**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.","+**Change:** Wrap both operations in a transaction:","+```go","+func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {","+    tx, err := r.DB.Beginx()","+    // INSERT INTO job ... SELECT ... FROM job_cache WHERE id = ?","+    // newID from LastInsertId","+    // DELETE FROM job_cache WHERE id = ?","+    // tx.Commit()","+}","+```"," ","-**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.","+**Impact:** Atomicity + 1 lock acquisition instead of 2. Called per job stop from cache path."," ","-**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.","-","-With 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.","-"," ---"," ","-## Fix 2: Batch Node State Updates in a Transaction","+## Fix 7: Batch Tag Operations on Job Start (NATS + REST)"," ","-Currently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.","+**File:** `internal/api/nats.go:228-233` — loops `AddTagOrCreate` per tag","+**File:** `internal/api/job.go` — same pattern in `startJob` REST handler"," ","-**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:","-- Accept a slice of `(hostname, cluster, nodeState)` tuples","+Currently each tag does: SELECT tag → INSERT tag (if new) → SELECT job → INSERT jobtag → SELECT tags → archive.UpdateTags. For a job with 5 tags = 30 individual DB operations.","+","+**Change:** Add `BatchAddTagsDirect` to `internal/repository/tags.go`:","+- Accept jobID + slice of tags"," - Begin transaction","-- For each node: lookup ID (or insert node), then insert state — all within the same transaction","-- Commit once","+- For each tag: resolve/create tag ID, INSERT jobtag — all within same transaction","+- Commit","+- Single archive.UpdateTags call at the end (outside transaction)"," ","-**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.","+Then update callers:","+- `internal/api/nats.go:228-233` — replace loop with `BatchAddTagsDirect`","+- `internal/api/job.go` (startJob REST handler) — same change"," ","-**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).","+**Keep** existing `AddTagOrCreate` for single-tag use cases (GraphQL, REST tag endpoint)."," ","-Keep the existing `UpdateNodeState` method for single-node use cases.","+**Impact:** N tags = 1 transaction + 1 archive update instead of N * 5 separate operations. Most impactful when scheduler sends jobs with multiple tags."," "," ---"," ","-## Fix 3: Fix LDAP Sync Race Condition","+## Fix 8: Batch Tag Imports"," ","-The LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.","+**File:** `internal/importer/handleImport.go:111-116` — loops `ImportTag` per tag per job"," ","-**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:","-```go","-func (r *UserRepository) AddUserIfNotExists(user *schema.User) error {","-    rolesJson, _ := json.Marshal(user.Roles)","-    projectsJson, _ := json.Marshal(user.Projects)","-    cols := \"username, name, roles, projects, ldap\"","-    _, err := r.DB.Exec(","-        `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,","-        user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))","-    return err","-}","-```","+Currently each tag does: SELECT tag → INSERT tag (if new) → INSERT jobtag. For 100 jobs with 3 tags each = 600+ individual operations."," ","-**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.","+**Change:** Add `BatchImportTags` to `internal/repository/tags.go`:","+- Accept jobID + slice of (type, name, scope)","+- Begin transaction","+- For each tag: resolve/create tag ID + INSERT jobtag","+- Commit"," ","-Note: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.","+Update `handleImport.go` to call `BatchImportTags` instead of the loop."," ","+**Impact:** Reduces lock acquisitions from 2*N to 1 per job's tags during import. Import is a startup-only operation but can be long-running for large archives.","+"," ---"," ","-## Fix 4: Add Semaphore for NATS Handlers","+## Fix 9: Wrap RemoveTagByID in a Transaction"," ","-Without rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.","+**File:** `internal/repository/tags.go:216-244`"," ","-**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:","+Currently does DELETE FROM jobtag + DELETE FROM tag as two separate operations. If the second fails, jobtag rows are gone but the orphaned tag row remains.","+","+**Change:**"," ```go","-type NatsAPI struct {","-    JobRepository   *repository.JobRepository","-    RepositoryMutex sync.Mutex","-    jobSem          chan struct{}","-    nodeSem         chan struct{}","+func (r *JobRepository) RemoveTagByID(tagID int64) error {","+    jobIds, err := r.FindJobIdsByTag(tagID)","+    // ...","+    tx, err := r.DB.Beginx()","+    defer tx.Rollback()","+    // DELETE FROM jobtag WHERE tag_id = ?  (on tx)","+    // DELETE FROM tag WHERE id = ?  (on tx)","+    tx.Commit()","+    go r.removeTagFromArchiveJobs(jobIds)"," }"," ```"," ","-Initialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.","+**Impact:** Atomicity for tag deletion. Low frequency (admin operation) but prevents orphaned data."," ","-Add acquire/release in `handleJobEvent` and `handleNodeState`:","-```go","-api.jobSem <- struct{}{}","-defer func() { <-api.jobSem }()","-```","-","-This caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.","-"," ---"," ","-## Fix 5: Wrap SyncJobs in a Transaction","+## Implementation Order"," ","-**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)","+1. **Fix 6** (TransferCachedJobToMain) — trivial, fixes a real atomicity bug","+2. **Fix 7** (batch tags on job start) — biggest remaining contention reduction for NATS path","+3. **Fix 8** (batch tag imports) — only affects import, but easy once Fix 7 pattern exists","+4. **Fix 9** (RemoveTagByID transaction) — minor, correctness improvement"," ","-Currently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:","-- `tx, err := r.DB.Beginx()`","-- Run all three operations on `tx`","-- `tx.Commit()`","-- Do the read-only ID resolution outside the transaction","+---"," ","-This reduces lock acquisitions from 3 to 1 and ensures atomicity.","+## Files to Modify"," ","+| File | Changes |","+|------|---------|","+| `internal/repository/jobCreate.go` | Fix 6: wrap TransferCachedJobToMain in transaction |","+| `internal/repository/tags.go` | Fix 7: add `BatchAddTagsDirect`; Fix 8: add `BatchImportTags`; Fix 9: transaction in RemoveTagByID |","+| `internal/api/nats.go` | Fix 7: use BatchAddTagsDirect in handleStartJob |","+| `internal/api/job.go` | Fix 7: use BatchAddTagsDirect in startJob REST handler |","+| `internal/importer/handleImport.go` | Fix 8: use BatchImportTags |","+"," ---"," ","-## Implementation Order","+## What NOT to Change"," ","-1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact","-2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change","-3. **Fix 2** (batch node states) — biggest contention reduction","-4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction","-5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation","+These are already efficient and don't need modification:","+- `UpdateDuration` — single bulk UPDATE","+- `StopJobsExceedingWalltimeBy` — single bulk UPDATE","+- `DeleteJobsBefore` — single bulk DELETE","+- Footprint worker — already transactional per cluster","+- Archiver — already chains SETs into single UPDATE via Squirrel builder","+- `UpdateUser` — admin-only, very low frequency, not worth the complexity","+- `AddUser` deprecated metrics loop — marked DEPRECATED, will be removed; not worth optimizing"," "," ---"," "," ## Verification"," ","-1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.","-2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.","-3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.","-4. Run `go test ./internal/repository/... ./internal/api/... ./internal/auth/...` after all changes.","-5. Load test: simulate burst of 100+ concurrent job start/stop events + node state update with 500 nodes + LDAP sync running simultaneously. Monitor goroutine count and memory.","+1. `go test ./internal/repository/... ./internal/api/... ./internal/importer/...`","+2. After Fix 6: verify `TransferCachedJobToMain` atomicity — stop a job that's in cache, check job table has correct ID and cache is empty","+3. After Fix 7: start a job with multiple tags via NATS — verify all tags appear, check that only 1 transaction was used (enable debug logging)","+4. After Fix 9: delete a tag via GraphQL — verify both tag and jobtag rows removed atomically"]}],"originalFile":"# Fix: SQLite Write Contention Causing OOM Crash\n\n## Context\n\nThe server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.\n\n**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.\n\nThe cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.\n\n---\n\n## Fix 1: Increase busy_timeout (contention relief)\n\n**File:** `internal/repository/dbConnection.go:73`\n\nChange `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:\n\n**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.\n\n**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.\n\n**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.\n\nWith 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.\n\n---\n\n## Fix 2: Batch Node State Updates in a Transaction\n\nCurrently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.\n\n**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:\n- Accept a slice of `(hostname, cluster, nodeState)` tuples\n- Begin transaction\n- For each node: lookup ID (or insert node), then insert state — all within the same transaction\n- Commit once\n\n**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.\n\n**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).\n\nKeep the existing `UpdateNodeState` method for single-node use cases.\n\n---\n\n## Fix 3: Fix LDAP Sync Race Condition\n\nThe LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.\n\n**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:\n```go\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n    rolesJson, _ := json.Marshal(user.Roles)\n    projectsJson, _ := json.Marshal(user.Projects)\n    cols := \"username, name, roles, projects, ldap\"\n    _, err := r.DB.Exec(\n        `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,\n        user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n    return err\n}\n```\n\n**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.\n\nNote: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.\n\n---\n\n## Fix 4: Add Semaphore for NATS Handlers\n\nWithout rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.\n\n**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:\n```go\ntype NatsAPI struct {\n    JobRepository   *repository.JobRepository\n    RepositoryMutex sync.Mutex\n    jobSem          chan struct{}\n    nodeSem         chan struct{}\n}\n```\n\nInitialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.\n\nAdd acquire/release in `handleJobEvent` and `handleNodeState`:\n```go\napi.jobSem <- struct{}{}\ndefer func() { <-api.jobSem }()\n```\n\nThis caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.\n\n---\n\n## Fix 5: Wrap SyncJobs in a Transaction\n\n**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)\n\nCurrently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:\n- `tx, err := r.DB.Beginx()`\n- Run all three operations on `tx`\n- `tx.Commit()`\n- Do the read-only ID resolution outside the transaction\n\nThis reduces lock acquisitions from 3 to 1 and ensures atomicity.\n\n---\n\n## Implementation Order\n\n1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact\n2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change\n3. **Fix 2** (batch node states) — biggest contention reduction\n4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction\n5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation\n\n---\n\n## Verification\n\n1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.\n2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.\n3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.\n4. Run `go test ./internal/repository/... ./internal/api/... ./internal/auth/...` after all changes.\n5. Load test: simulate burst of 100+ concurrent job start/stop events + node state update with 500 nodes + LDAP sync running simultaneously. Monitor goroutine count and memory.\n"},"sourceToolAssistantUUID":"b4439843-d8a6-40b1-9d71-93da5b44f966","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"ff4272fb-2b35-4888-84ba-79edc4101eb9","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01LJeMZ6CFgXsvqraCsnbwHD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MUQUrUB1J3djg7qn2AaGP3","name":"ExitPlanMode","input":{"allowedPrompts":[{"tool":"Bash","prompt":"run go build and go test"}],"plan":"# Additional SQLite Write Contention Reductions\n\n## Context\n\nFixes 1-5 (busy_timeout, batch node states, LDAP sync, NATS semaphores, SyncJobs transaction) are already implemented. This plan identifies **remaining** opportunities to reduce DB write pressure through transactions and batching.\n\nAfter reviewing all write paths in the codebase, most periodic tasks are already well-optimized:\n- `UpdateDuration` — single bulk UPDATE, efficient\n- `StopJobsExceedingWalltimeBy` — single bulk UPDATE, efficient\n- `DeleteJobsBefore` — single bulk DELETE, efficient\n- Footprint worker — already uses `TransactionInit/TransactionAdd/TransactionEnd` per cluster\n- Archiver — chains UpdateFootprint + UpdateEnergy + MarkArchived into single `sq.Update` statement, efficient\n\nThe remaining opportunities are in **tag operations**, **TransferCachedJobToMain**, and **job imports**.\n\n---\n\n## Fix 6: Wrap TransferCachedJobToMain in a Transaction\n\n**File:** `internal/repository/jobCreate.go:130-149`\n\nCurrently does INSERT + DELETE as two separate `r.DB.Exec()` calls. If the process crashes between them, the job_cache row is orphaned (duplicate on next SyncJobs).\n\n**Change:** Wrap both operations in a transaction:\n```go\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n    tx, err := r.DB.Beginx()\n    // INSERT INTO job ... SELECT ... FROM job_cache WHERE id = ?\n    // newID from LastInsertId\n    // DELETE FROM job_cache WHERE id = ?\n    // tx.Commit()\n}\n```\n\n**Impact:** Atomicity + 1 lock acquisition instead of 2. Called per job stop from cache path.\n\n---\n\n## Fix 7: Batch Tag Operations on Job Start (NATS + REST)\n\n**File:** `internal/api/nats.go:228-233` — loops `AddTagOrCreate` per tag\n**File:** `internal/api/job.go` — same pattern in `startJob` REST handler\n\nCurrently each tag does: SELECT tag → INSERT tag (if new) → SELECT job → INSERT jobtag → SELECT tags → archive.UpdateTags. For a job with 5 tags = 30 individual DB operations.\n\n**Change:** Add `BatchAddTagsDirect` to `internal/repository/tags.go`:\n- Accept jobID + slice of tags\n- Begin transaction\n- For each tag: resolve/create tag ID, INSERT jobtag — all within same transaction\n- Commit\n- Single archive.UpdateTags call at the end (outside transaction)\n\nThen update callers:\n- `internal/api/nats.go:228-233` — replace loop with `BatchAddTagsDirect`\n- `internal/api/job.go` (startJob REST handler) — same change\n\n**Keep** existing `AddTagOrCreate` for single-tag use cases (GraphQL, REST tag endpoint).\n\n**Impact:** N tags = 1 transaction + 1 archive update instead of N * 5 separate operations. Most impactful when scheduler sends jobs with multiple tags.\n\n---\n\n## Fix 8: Batch Tag Imports\n\n**File:** `internal/importer/handleImport.go:111-116` — loops `ImportTag` per tag per job\n\nCurrently each tag does: SELECT tag → INSERT tag (if new) → INSERT jobtag. For 100 jobs with 3 tags each = 600+ individual operations.\n\n**Change:** Add `BatchImportTags` to `internal/repository/tags.go`:\n- Accept jobID + slice of (type, name, scope)\n- Begin transaction\n- For each tag: resolve/create tag ID + INSERT jobtag\n- Commit\n\nUpdate `handleImport.go` to call `BatchImportTags` instead of the loop.\n\n**Impact:** Reduces lock acquisitions from 2*N to 1 per job's tags during import. Import is a startup-only operation but can be long-running for large archives.\n\n---\n\n## Fix 9: Wrap RemoveTagByID in a Transaction\n\n**File:** `internal/repository/tags.go:216-244`\n\nCurrently does DELETE FROM jobtag + DELETE FROM tag as two separate operations. If the second fails, jobtag rows are gone but the orphaned tag row remains.\n\n**Change:**\n```go\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n    jobIds, err := r.FindJobIdsByTag(tagID)\n    // ...\n    tx, err := r.DB.Beginx()\n    defer tx.Rollback()\n    // DELETE FROM jobtag WHERE tag_id = ?  (on tx)\n    // DELETE FROM tag WHERE id = ?  (on tx)\n    tx.Commit()\n    go r.removeTagFromArchiveJobs(jobIds)\n}\n```\n\n**Impact:** Atomicity for tag deletion. Low frequency (admin operation) but prevents orphaned data.\n\n---\n\n## Implementation Order\n\n1. **Fix 6** (TransferCachedJobToMain) — trivial, fixes a real atomicity bug\n2. **Fix 7** (batch tags on job start) — biggest remaining contention reduction for NATS path\n3. **Fix 8** (batch tag imports) — only affects import, but easy once Fix 7 pattern exists\n4. **Fix 9** (RemoveTagByID transaction) — minor, correctness improvement\n\n---\n\n## Files to Modify\n\n| File | Changes |\n|------|---------|\n| `internal/repository/jobCreate.go` | Fix 6: wrap TransferCachedJobToMain in transaction |\n| `internal/repository/tags.go` | Fix 7: add `BatchAddTagsDirect`; Fix 8: add `BatchImportTags`; Fix 9: transaction in RemoveTagByID |\n| `internal/api/nats.go` | Fix 7: use BatchAddTagsDirect in handleStartJob |\n| `internal/api/job.go` | Fix 7: use BatchAddTagsDirect in startJob REST handler |\n| `internal/importer/handleImport.go` | Fix 8: use BatchImportTags |\n\n---\n\n## What NOT to Change\n\nThese are already efficient and don't need modification:\n- `UpdateDuration` — single bulk UPDATE\n- `StopJobsExceedingWalltimeBy` — single bulk UPDATE\n- `DeleteJobsBefore` — single bulk DELETE\n- Footprint worker — already transactional per cluster\n- Archiver — already chains SETs into single UPDATE via Squirrel builder\n- `UpdateUser` — admin-only, very low frequency, not worth the complexity\n- `AddUser` deprecated metrics loop — marked DEPRECATED, will be removed; not worth optimizing\n\n---\n\n## Verification\n\n1. `go test ./internal/repository/... ./internal/api/... ./internal/importer/...`\n2. After Fix 6: verify `TransferCachedJobToMain` atomicity — stop a job that's in cache, check job table has correct ID and cache is empty\n3. After Fix 7: start a job with multiple tags via NATS — verify all tags appear, check that only 1 transaction was used (enable debug logging)\n4. 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Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\treturn newID, nil\n}","newString":"// TransferCachedJobToMain moves a job from job_cache to the job table.\n// Caller must hold r.Mutex. Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"TransferCachedJobToMain: begin transaction: %w\", err)\n\t}\n\tdefer tx.Rollback()\n\n\tres, err := tx.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = tx.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\treturn 0, fmt.Errorf(\"TransferCachedJobToMain: commit: %w\", err)\n\t}\n\n\treturn newID, nil\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"encoding/json\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst NamedJobCacheInsert string = `INSERT INTO job_cache (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n);`\n\nconst NamedJobInsert string = `INSERT INTO job (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n);`\n\n// InsertJobDirect inserts a job directly into the job table (not job_cache).\n// Use this when the returned ID will be used for operations on the job table\n// (e.g., adding tags), or for imported jobs that are already completed.\nfunc (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Transfer cached jobs to main table and clear cache in a single transaction.\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer tx.Rollback()\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = tx.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}\n\n// TransferCachedJobToMain moves a job from job_cache to the job table.\n// Caller must hold r.Mutex. Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\treturn newID, nil\n}\n\n// Start inserts a new job in the table, returning the unique job ID.\n// Statistics are not transfered!\nfunc (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJob(job)\n}\n\n// StartDirect inserts a new job directly into the job table (not job_cache).\n// Use this when the returned ID will immediately be used for job table\n// operations such as adding tags.\nfunc (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJobDirect(job)\n}\n\n// Stop updates the job with the database id jobId using the provided arguments.\nfunc (r *JobRepository) Stop(\n\tjobID int64,\n\tduration int32,\n\tstate schema.JobState,\n\tmonitoringStatus int32,\n) (err error) {\n\t// Invalidate cache entries as job state is changing\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n\n\tstmt := sq.Update(\"job\").\n\t\tSet(\"job_state\", state).\n\t\tSet(\"duration\", duration).\n\t\tSet(\"monitoring_status\", monitoringStatus).\n\t\tWhere(\"job.id = ?\", jobID)\n\n\t_, err = stmt.RunWith(r.stmtCache).Exec()\n\treturn err\n}\n","structuredPatch":[{"oldStart":141,"oldLines":7,"newStart":141,"newLines":13,"lines":[" // TransferCachedJobToMain moves a job from job_cache to the job table."," // Caller must hold r.Mutex. Returns the new job table ID."," func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {","-  res, err := r.DB.Exec(","+  tx, err := r.DB.Beginx()","+  if err != nil {","+    return 0, fmt.Errorf(\"TransferCachedJobToMain: begin transaction: %w\", err)","+  }","+  defer tx.Rollback()","+","+  res, err := tx.Exec(","     \"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",","     cacheID)","   if err != nil {"]},{"oldStart":153,"oldLines":11,"newStart":159,"newLines":15,"lines":["     return 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)","   }"," ","-  _, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)","+  _, err = tx.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)","   if err != nil {","     return 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)","   }"," ","+  if err := tx.Commit(); err != nil {","+    return 0, fmt.Errorf(\"TransferCachedJobToMain: commit: %w\", err)","+  }","+","   return newID, nil"," }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"122536c7-4640-495c-9256-d583b5a41625","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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It also\n    17→includes a web interface for ClusterCockpit. This implementation replaces the\n    18→previous PHP Symfony based ClusterCockpit web interface. The reasons for\n    19→switching from PHP Symfony to a Golang based solution are explained\n    20→[here](https://github.com/ClusterCockpit/ClusterCockpit/wiki/Why-we-switched-from-PHP-Symfony-to-a-Golang-based-solution).\n    21→\n    22→## Overview\n    23→\n    24→This is a Golang web backend for the ClusterCockpit job-specific performance\n    25→monitoring framework. It provides a REST API and an optional NATS-based messaging\n    26→API for integrating ClusterCockpit with an HPC cluster batch system and external\n    27→analysis scripts. Data exchange between the web front-end and the back-end is\n    28→based on a GraphQL API. The web frontend is also served by the backend using\n    29→[Svelte](https://svelte.dev/) components. Layout and styling are based on\n    30→[Bootstrap 5](https://getbootstrap.com/) using\n    31→[Bootstrap Icons](https://icons.getbootstrap.com/).\n    32→\n    33→The backend uses [SQLite 3](https://sqlite.org/) as the relational SQL database.\n    34→While there are metric data backends for the InfluxDB and Prometheus time series\n    35→databases, the only tested and supported setup is to use cc-metric-store as the\n    36→metric data backend. Documentation on how to integrate ClusterCockpit with other\n    37→time series databases will be added in the future.\n    38→\n    39→For real-time integration with HPC systems, the backend can subscribe to\n    40→[NATS](https://nats.io/) subjects to receive job start/stop events and node\n    41→state updates, providing an alternative to REST API polling.\n    42→\n    43→Completed batch jobs are stored in a file-based job archive according to\n    44→[this specification](https://github.com/ClusterCockpit/cc-specifications/tree/master/job-archive).\n    45→The backend supports authentication via local accounts, an external LDAP\n    46→directory, and JWT tokens. Authorization for APIs is implemented with\n    47→[JWT](https://jwt.io/) tokens created with public/private key encryption.\n    48→\n    49→You find a detailed documentation on the [ClusterCockpit\n    50→Webpage](https://clustercockpit.org).\n    51→\n    52→## Build requirements\n    53→\n    54→ClusterCockpit requires a current version of the golang toolchain and node.js.\n    55→You can check `go.mod` to see what is the current minimal golang version needed.\n    56→Homebrew and Archlinux usually have current golang versions. For other Linux\n    57→distros this often means that you have to install the golang compiler yourself.\n    58→Fortunately, this is easy with golang. Since much of the functionality is based\n    59→on the Go standard library, it is crucial for security and performance to use a\n    60→current version of golang. In addition, an old golang toolchain may limit the supported\n    61→versions of third-party packages.\n    62→\n    63→## How to try ClusterCockpit with a demo setup\n    64→\n    65→We provide a shell script that downloads demo data and automatically starts the\n    66→cc-backend. You will need `wget`, `go`, `node`, `npm` in your path to\n    67→start the demo. The demo downloads 32MB of data (223MB on disk).\n    68→\n    69→```sh\n    70→git clone https://github.com/ClusterCockpit/cc-backend.git\n    71→cd ./cc-backend\n    72→./startDemo.sh\n    73→```\n    74→\n    75→You can also try the demo using the latest release binary.\n    76→Create a folder and put the release binary `cc-backend` into this folder.\n    77→Execute the following steps:\n    78→\n    79→```shell\n    80→./cc-backend -init\n    81→vim config.json (Add a second cluster entry and name the clusters alex and fritz)\n    82→wget https://hpc-mover.rrze.uni-erlangen.de/HPC-Data/0x7b58aefb/eig7ahyo6fo2bais0ephuf2aitohv1ai/job-archive-demo.tar\n    83→tar xf job-archive-demo.tar\n    84→./cc-backend -init-db -add-user demo:admin:demo -loglevel info\n    85→./cc-backend -server -dev -loglevel info\n    86→```\n    87→\n    88→You can access the web interface at [http://localhost:8080](http://localhost:8080).\n    89→Credentials for login are `demo:demo`.\n    90→Please note that some views do not work without a metric backend (e.g., the\n    91→Analysis, Systems and Status views).\n    92→\n    93→## How to build and run\n    94→\n    95→There is a Makefile to automate the build of cc-backend. The Makefile supports\n    96→the following targets:\n    97→\n    98→- `make`: Initialize `var` directory and build svelte frontend and backend\n    99→  binary. Note that there is no proper prerequisite handling. Any change of\n   100→  frontend source files will result in a complete rebuild.\n   101→- `make clean`: Clean go build cache and remove binary.\n   102→- `make test`: Run the tests that are also run in the GitHub workflow setup.\n   103→\n   104→A common workflow for setting up cc-backend from scratch is:\n   105→\n   106→```sh\n   107→git clone https://github.com/ClusterCockpit/cc-backend.git\n   108→\n   109→# Build binary\n   110→cd ./cc-backend/\n   111→make\n   112→\n   113→# EDIT THE .env FILE BEFORE YOU DEPLOY (Change the secrets)!\n   114→# If authentication is disabled, it can be empty.\n   115→cp configs/env-template.txt  .env\n   116→vim .env\n   117→\n   118→cp configs/config.json .\n   119→vim config.json\n   120→\n   121→#Optional: Link an existing job archive:\n   122→ln -s <your-existing-job-archive> ./var/job-archive\n   123→\n   124→# This will first initialize the job.db database by traversing all\n   125→# `meta.json` files in the job-archive and add a new user.\n   126→./cc-backend -init-db -add-user <your-username>:admin:<your-password>\n   127→\n   128→# Start a HTTP server (HTTPS can be enabled in the configuration, the default port is 8080).\n   129→# The --dev flag enables GraphQL Playground (http://localhost:8080/playground) and Swagger UI (http://localhost:8080/swagger).\n   130→./cc-backend -server  -dev\n   131→\n   132→# Show other options:\n   133→./cc-backend -help\n   134→```\n   135→\n   136→## Database Configuration\n   137→\n   138→cc-backend uses SQLite as its database. For large installations, SQLite memory\n   139→usage can be tuned via the optional `db-config` section in config.json under\n   140→`main`:\n   141→\n   142→```json\n   143→{\n   144→  \"main\": {\n   145→    \"db\": \"./var/job.db\",\n   146→    \"db-config\": {\n   147→      \"cache-size-mb\": 2048,\n   148→      \"soft-heap-limit-mb\": 16384,\n   149→      \"max-open-connections\": 4,\n   150→      \"max-idle-connections\": 4,\n   151→      \"max-idle-time-minutes\": 10\n   152→    }\n   153→  }\n   154→}\n   155→```\n   156→\n   157→All fields are optional. If `db-config` is omitted entirely, built-in defaults\n   158→are used.\n   159→\n   160→### Options\n   161→\n   162→| Option                  | Default | Description                                                                                                                                                                             |\n   163→| ----------------------- | ------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n   164→| `cache-size-mb`         | 2048    | SQLite page cache size per connection in MB. Maps to `PRAGMA cache_size`. Total cache memory is up to `cache-size-mb × max-open-connections`.                                           |\n   165→| `soft-heap-limit-mb`    | 16384   | Process-wide SQLite soft heap limit in MB. SQLite will try to release cache pages to stay under this limit. Queries won't fail if exceeded, but cache eviction becomes more aggressive. |\n   166→| `max-open-connections`  | 4       | Maximum number of open database connections.                                                                                                                                            |\n   167→| `max-idle-connections`  | 4       | Maximum number of idle database connections kept in the pool.                                                                                                                           |\n   168→| `max-idle-time-minutes` | 10      | Maximum time in minutes a connection can sit idle before being closed.                                                                                                                  |\n   169→\n   170→### Sizing Guidelines\n   171→\n   172→SQLite's `cache_size` is a **per-connection** setting — each connection\n   173→maintains its own independent page cache. With multiple connections, the total\n   174→memory available for caching is the sum across all connections.\n   175→\n   176→In practice, different connections tend to cache **different pages** (e.g., one\n   177→handles a job listing query while another runs a statistics aggregation), so\n   178→their caches naturally spread across the database. The formula\n   179→`DB_size / max-open-connections` gives enough per-connection cache that the\n   180→combined caches can cover the entire database.\n   181→\n   182→However, this is a best-case estimate. Connections running similar queries will\n   183→cache the same pages redundantly. In the worst case (all connections caching\n   184→identical pages), only `cache-size-mb` worth of unique data is cached rather\n   185→than `cache-size-mb × max-open-connections`. For workloads with diverse\n   186→concurrent queries, cache overlap is typically low.\n   187→\n   188→**Rules of thumb:**\n   189→\n   190→- **cache-size-mb**: Set to `DB_size_in_MB / max-open-connections` to allow the\n   191→  entire database to be cached in memory. For example, an 80GB database with 8\n   192→  connections needs at least 10240 MB (10GB) per connection. If your workload\n   193→  has many similar concurrent queries, consider setting it higher to account for\n   194→  cache overlap between connections.\n   195→\n   196→- **soft-heap-limit-mb**: Should be >= `cache-size-mb × max-open-connections` to\n   197→  avoid cache thrashing. This is the total SQLite memory budget for the process.\n   198→- On small installations the defaults work well. On servers with large databases\n   199→  (tens of GB) and plenty of RAM, increasing these values significantly improves\n   200→  query performance by reducing disk I/O.\n   201→\n   202→### Example: Large Server (512GB RAM, 80GB database)\n   203→\n   204→```json\n   205→{\n   206→  \"main\": {\n   207→    \"db-config\": {\n   208→      \"cache-size-mb\": 16384,\n   209→      \"soft-heap-limit-mb\": 131072,\n   210→      \"max-open-connections\": 8,\n   211→      \"max-idle-time-minutes\": 30\n   212→    }\n   213→  }\n   214→}\n   215→```\n   216→\n   217→This allows the entire 80GB database to be cached (8 × 16GB = 128GB page cache)\n   218→with a 128GB soft heap limit, using about 25% of available RAM.\n   219→\n   220→The effective configuration is logged at startup for verification.\n   221→\n   222→## Project file structure\n   223→\n   224→- [`.github/`](https://github.com/ClusterCockpit/cc-backend/tree/master/.github)\n   225→  GitHub Actions workflows and dependabot configuration for CI/CD.\n   226→- [`api/`](https://github.com/ClusterCockpit/cc-backend/tree/master/api)\n   227→  contains the API schema files for the REST and GraphQL APIs. The REST API is\n   228→  documented in the OpenAPI 3.0 format in\n   229→  [./api/swagger.yaml](./api/swagger.yaml). The GraphQL schema is in\n   230→  [./api/schema.graphqls](./api/schema.graphqls).\n   231→- [`cmd/cc-backend`](https://github.com/ClusterCockpit/cc-backend/tree/master/cmd/cc-backend)\n   232→  contains the main application entry point and CLI implementation.\n   233→- [`configs/`](https://github.com/ClusterCockpit/cc-backend/tree/master/configs)\n   234→  contains documentation about configuration and command line options and required\n   235→  environment variables. Sample configuration files are provided.\n   236→- [`init/`](https://github.com/ClusterCockpit/cc-backend/tree/master/init)\n   237→  contains an example of setting up systemd for production use.\n   238→- [`internal/`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal)\n   239→  contains library source code that is not intended for use by others.\n   240→  - [`api`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/api)\n   241→    REST API handlers and NATS integration\n   242→  - [`archiver`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/archiver)\n   243→    Job archiving functionality\n   244→  - [`auth`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/auth)\n   245→    Authentication (local, LDAP, OIDC) and JWT token handling\n   246→  - [`config`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/config)\n   247→    Configuration management and validation\n   248→  - [`graph`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/graph)\n   249→    GraphQL schema and resolvers\n   250→  - [`importer`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/importer)\n   251→    Job data import and database initialization\n   252→  - [`metricdispatch`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricdispatch)\n   253→    Dispatches metric data loading to appropriate backends\n   254→  - [`repository`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/repository)\n   255→    Database repository layer for jobs and metadata\n   256→  - [`routerConfig`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/routerConfig)\n   257→    HTTP router configuration and middleware\n   258→  - [`tagger`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/tagger)\n   259→    Job classification and application detection\n   260→  - [`taskmanager`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/taskmanager)\n   261→    Background task management and scheduled jobs\n   262→  - [`metricstoreclient`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricstoreclient)\n   263→    Client for cc-metric-store queries\n   264→- [`pkg/`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg)\n   265→  contains Go packages that can be used by other projects.\n   266→  - [`archive`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/archive)\n   267→    Job archive backend implementations (filesystem, S3, SQLite)\n   268→  - [`metricstore`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/metricstore)\n   269→    In-memory metric data store with checkpointing and metric loading\n   270→- [`tools/`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools)\n   271→  Additional command line helper tools.\n   272→  - [`archive-manager`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-manager)\n   273→    Commands for getting infos about an existing job archive, importing jobs\n   274→    between archive backends, and converting archives between JSON and Parquet formats.\n   275→  - [`archive-migration`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-migration)\n   276→    Tool for migrating job archives between formats.\n   277→  - [`convert-pem-pubkey`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/convert-pem-pubkey)\n   278→    Tool to convert external pubkey for use in `cc-backend`.\n   279→  - [`gen-keypair`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/gen-keypair)\n   280→    contains a small application to generate a compatible JWT keypair. You find\n   281→    documentation on how to use it\n   282→    [here](https://github.com/ClusterCockpit/cc-backend/blob/master/docs/JWT-Handling.md).\n   283→- [`web/`](https://github.com/ClusterCockpit/cc-backend/tree/master/web)\n   284→  Server-side templates and frontend-related files:\n   285→  - [`frontend`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/frontend)\n   286→    Svelte components and static assets for the frontend UI\n   287→  - [`templates`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/templates)\n   288→    Server-side Go templates, including monitoring views\n   289→- [`gqlgen.yml`](https://github.com/ClusterCockpit/cc-backend/blob/master/gqlgen.yml)\n   290→  Configures the behaviour and generation of\n   291→  [gqlgen](https://github.com/99designs/gqlgen).\n   292→- [`startDemo.sh`](https://github.com/ClusterCockpit/cc-backend/blob/master/startDemo.sh)\n   293→  is a shell script that sets up demo data, and builds and starts `cc-backend`.\n   294→"}]},"uuid":"4cd9f95b-f808-4a37-a113-308032c74511","timestamp":"2026-03-16T10:27:19.687Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/README.md","content":"# NOTE\n\nWhile we do our best to keep the master branch in a usable state, there is no guarantee the master branch works.\nPlease do not use it for production!\n\nPlease have a look at the [Release\nNotes](https://github.com/ClusterCockpit/cc-backend/blob/master/ReleaseNotes.md)\nfor breaking changes!\n\n# ClusterCockpit REST and GraphQL API backend\n\n[![Build](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml/badge.svg)](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml)\n\nThis is a Golang backend implementation for a REST and GraphQL API according to\nthe [ClusterCockpit\nspecifications](https://github.com/ClusterCockpit/cc-specifications). It also\nincludes a web interface for ClusterCockpit. This implementation replaces the\nprevious PHP Symfony based ClusterCockpit web interface. The reasons for\nswitching from PHP Symfony to a Golang based solution are explained\n[here](https://github.com/ClusterCockpit/ClusterCockpit/wiki/Why-we-switched-from-PHP-Symfony-to-a-Golang-based-solution).\n\n## Overview\n\nThis is a Golang web backend for the ClusterCockpit job-specific performance\nmonitoring framework. It provides a REST API and an optional NATS-based messaging\nAPI for integrating ClusterCockpit with an HPC cluster batch system and external\nanalysis scripts. Data exchange between the web front-end and the back-end is\nbased on a GraphQL API. The web frontend is also served by the backend using\n[Svelte](https://svelte.dev/) components. Layout and styling are based on\n[Bootstrap 5](https://getbootstrap.com/) using\n[Bootstrap Icons](https://icons.getbootstrap.com/).\n\nThe backend uses [SQLite 3](https://sqlite.org/) as the relational SQL database.\nWhile there are metric data backends for the InfluxDB and Prometheus time series\ndatabases, the only tested and supported setup is to use cc-metric-store as the\nmetric data backend. Documentation on how to integrate ClusterCockpit with other\ntime series databases will be added in the future.\n\nFor real-time integration with HPC systems, the backend can subscribe to\n[NATS](https://nats.io/) subjects to receive job start/stop events and node\nstate updates, providing an alternative to REST API polling.\n\nCompleted batch jobs are stored in a file-based job archive according to\n[this specification](https://github.com/ClusterCockpit/cc-specifications/tree/master/job-archive).\nThe backend supports authentication via local accounts, an external LDAP\ndirectory, and JWT tokens. Authorization for APIs is implemented with\n[JWT](https://jwt.io/) tokens created with public/private key encryption.\n\nYou find a detailed documentation on the [ClusterCockpit\nWebpage](https://clustercockpit.org).\n\n## Build requirements\n\nClusterCockpit requires a current version of the golang toolchain and node.js.\nYou can check `go.mod` to see what is the current minimal golang version needed.\nHomebrew and Archlinux usually have current golang versions. For other Linux\ndistros this often means that you have to install the golang compiler yourself.\nFortunately, this is easy with golang. Since much of the functionality is based\non the Go standard library, it is crucial for security and performance to use a\ncurrent version of golang. In addition, an old golang toolchain may limit the supported\nversions of third-party packages.\n\n## How to try ClusterCockpit with a demo setup\n\nWe provide a shell script that downloads demo data and automatically starts the\ncc-backend. You will need `wget`, `go`, `node`, `npm` in your path to\nstart the demo. The demo downloads 32MB of data (223MB on disk).\n\n```sh\ngit clone https://github.com/ClusterCockpit/cc-backend.git\ncd ./cc-backend\n./startDemo.sh\n```\n\nYou can also try the demo using the latest release binary.\nCreate a folder and put the release binary `cc-backend` into this folder.\nExecute the following steps:\n\n```shell\n./cc-backend -init\nvim config.json (Add a second cluster entry and name the clusters alex and fritz)\nwget https://hpc-mover.rrze.uni-erlangen.de/HPC-Data/0x7b58aefb/eig7ahyo6fo2bais0ephuf2aitohv1ai/job-archive-demo.tar\ntar xf job-archive-demo.tar\n./cc-backend -init-db -add-user demo:admin:demo -loglevel info\n./cc-backend -server -dev -loglevel info\n```\n\nYou can access the web interface at [http://localhost:8080](http://localhost:8080).\nCredentials for login are `demo:demo`.\nPlease note that some views do not work without a metric backend (e.g., the\nAnalysis, Systems and Status views).\n\n## How to build and run\n\nThere is a Makefile to automate the build of cc-backend. The Makefile supports\nthe following targets:\n\n- `make`: Initialize `var` directory and build svelte frontend and backend\n  binary. Note that there is no proper prerequisite handling. Any change of\n  frontend source files will result in a complete rebuild.\n- `make clean`: Clean go build cache and remove binary.\n- `make test`: Run the tests that are also run in the GitHub workflow setup.\n\nA common workflow for setting up cc-backend from scratch is:\n\n```sh\ngit clone https://github.com/ClusterCockpit/cc-backend.git\n\n# Build binary\ncd ./cc-backend/\nmake\n\n# EDIT THE .env FILE BEFORE YOU DEPLOY (Change the secrets)!\n# If authentication is disabled, it can be empty.\ncp configs/env-template.txt  .env\nvim .env\n\ncp configs/config.json .\nvim config.json\n\n#Optional: Link an existing job archive:\nln -s <your-existing-job-archive> ./var/job-archive\n\n# This will first initialize the job.db database by traversing all\n# `meta.json` files in the job-archive and add a new user.\n./cc-backend -init-db -add-user <your-username>:admin:<your-password>\n\n# Start a HTTP server (HTTPS can be enabled in the configuration, the default port is 8080).\n# The --dev flag enables GraphQL Playground (http://localhost:8080/playground) and Swagger UI (http://localhost:8080/swagger).\n./cc-backend -server  -dev\n\n# Show other options:\n./cc-backend -help\n```\n\n## Database Configuration\n\ncc-backend uses SQLite as its database. For large installations, SQLite memory\nusage can be tuned via the optional `db-config` section in config.json under\n`main`:\n\n```json\n{\n  \"main\": {\n    \"db\": \"./var/job.db\",\n    \"db-config\": {\n      \"cache-size-mb\": 2048,\n      \"soft-heap-limit-mb\": 16384,\n      \"max-open-connections\": 4,\n      \"max-idle-connections\": 4,\n      \"max-idle-time-minutes\": 10\n    }\n  }\n}\n```\n\nAll fields are optional. If `db-config` is omitted entirely, built-in defaults\nare used.\n\n### Options\n\n| Option                  | Default | Description                                                                                                                                                                             |\n| ----------------------- | ------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| `cache-size-mb`         | 2048    | SQLite page cache size per connection in MB. Maps to `PRAGMA cache_size`. Total cache memory is up to `cache-size-mb × max-open-connections`.                                           |\n| `soft-heap-limit-mb`    | 16384   | Process-wide SQLite soft heap limit in MB. SQLite will try to release cache pages to stay under this limit. Queries won't fail if exceeded, but cache eviction becomes more aggressive. |\n| `max-open-connections`  | 4       | Maximum number of open database connections.                                                                                                                                            |\n| `max-idle-connections`  | 4       | Maximum number of idle database connections kept in the pool.                                                                                                                           |\n| `max-idle-time-minutes` | 10      | Maximum time in minutes a connection can sit idle before being closed.                                                                                                                  |\n\n### Sizing Guidelines\n\nSQLite's `cache_size` is a **per-connection** setting — each connection\nmaintains its own independent page cache. With multiple connections, the total\nmemory available for caching is the sum across all connections.\n\nIn practice, different connections tend to cache **different pages** (e.g., one\nhandles a job listing query while another runs a statistics aggregation), so\ntheir caches naturally spread across the database. The formula\n`DB_size / max-open-connections` gives enough per-connection cache that the\ncombined caches can cover the entire database.\n\nHowever, this is a best-case estimate. Connections running similar queries will\ncache the same pages redundantly. In the worst case (all connections caching\nidentical pages), only `cache-size-mb` worth of unique data is cached rather\nthan `cache-size-mb × max-open-connections`. For workloads with diverse\nconcurrent queries, cache overlap is typically low.\n\n**Rules of thumb:**\n\n- **cache-size-mb**: Set to `DB_size_in_MB / max-open-connections` to allow the\n  entire database to be cached in memory. For example, an 80GB database with 8\n  connections needs at least 10240 MB (10GB) per connection. If your workload\n  has many similar concurrent queries, consider setting it higher to account for\n  cache overlap between connections.\n\n- **soft-heap-limit-mb**: Should be >= `cache-size-mb × max-open-connections` to\n  avoid cache thrashing. This is the total SQLite memory budget for the process.\n- On small installations the defaults work well. On servers with large databases\n  (tens of GB) and plenty of RAM, increasing these values significantly improves\n  query performance by reducing disk I/O.\n\n### Example: Large Server (512GB RAM, 80GB database)\n\n```json\n{\n  \"main\": {\n    \"db-config\": {\n      \"cache-size-mb\": 16384,\n      \"soft-heap-limit-mb\": 131072,\n      \"max-open-connections\": 8,\n      \"max-idle-time-minutes\": 30\n    }\n  }\n}\n```\n\nThis allows the entire 80GB database to be cached (8 × 16GB = 128GB page cache)\nwith a 128GB soft heap limit, using about 25% of available RAM.\n\nThe effective configuration is logged at startup for verification.\n\n## Project file structure\n\n- [`.github/`](https://github.com/ClusterCockpit/cc-backend/tree/master/.github)\n  GitHub Actions workflows and dependabot configuration for CI/CD.\n- [`api/`](https://github.com/ClusterCockpit/cc-backend/tree/master/api)\n  contains the API schema files for the REST and GraphQL APIs. The REST API is\n  documented in the OpenAPI 3.0 format in\n  [./api/swagger.yaml](./api/swagger.yaml). The GraphQL schema is in\n  [./api/schema.graphqls](./api/schema.graphqls).\n- [`cmd/cc-backend`](https://github.com/ClusterCockpit/cc-backend/tree/master/cmd/cc-backend)\n  contains the main application entry point and CLI implementation.\n- [`configs/`](https://github.com/ClusterCockpit/cc-backend/tree/master/configs)\n  contains documentation about configuration and command line options and required\n  environment variables. Sample configuration files are provided.\n- [`init/`](https://github.com/ClusterCockpit/cc-backend/tree/master/init)\n  contains an example of setting up systemd for production use.\n- [`internal/`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal)\n  contains library source code that is not intended for use by others.\n  - [`api`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/api)\n    REST API handlers and NATS integration\n  - [`archiver`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/archiver)\n    Job archiving functionality\n  - [`auth`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/auth)\n    Authentication (local, LDAP, OIDC) and JWT token handling\n  - [`config`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/config)\n    Configuration management and validation\n  - [`graph`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/graph)\n    GraphQL schema and resolvers\n  - [`importer`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/importer)\n    Job data import and database initialization\n  - [`metricdispatch`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricdispatch)\n    Dispatches metric data loading to appropriate backends\n  - [`repository`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/repository)\n    Database repository layer for jobs and metadata\n  - [`routerConfig`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/routerConfig)\n    HTTP router configuration and middleware\n  - [`tagger`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/tagger)\n    Job classification and application detection\n  - [`taskmanager`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/taskmanager)\n    Background task management and scheduled jobs\n  - [`metricstoreclient`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricstoreclient)\n    Client for cc-metric-store queries\n- [`pkg/`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg)\n  contains Go packages that can be used by other projects.\n  - [`archive`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/archive)\n    Job archive backend implementations (filesystem, S3, SQLite)\n  - [`metricstore`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/metricstore)\n    In-memory metric data store with checkpointing and metric loading\n- [`tools/`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools)\n  Additional command line helper tools.\n  - [`archive-manager`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-manager)\n    Commands for getting infos about an existing job archive, importing jobs\n    between archive backends, and converting archives between JSON and Parquet formats.\n  - [`archive-migration`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-migration)\n    Tool for migrating job archives between formats.\n  - [`convert-pem-pubkey`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/convert-pem-pubkey)\n    Tool to convert external pubkey for use in `cc-backend`.\n  - [`gen-keypair`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/gen-keypair)\n    contains a small application to generate a compatible JWT keypair. You find\n    documentation on how to use it\n    [here](https://github.com/ClusterCockpit/cc-backend/blob/master/docs/JWT-Handling.md).\n- [`web/`](https://github.com/ClusterCockpit/cc-backend/tree/master/web)\n  Server-side templates and frontend-related files:\n  - [`frontend`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/frontend)\n    Svelte components and static assets for the frontend UI\n  - [`templates`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/templates)\n    Server-side Go templates, including monitoring views\n- [`gqlgen.yml`](https://github.com/ClusterCockpit/cc-backend/blob/master/gqlgen.yml)\n  Configures the behaviour and generation of\n  [gqlgen](https://github.com/99designs/gqlgen).\n- [`startDemo.sh`](https://github.com/ClusterCockpit/cc-backend/blob/master/startDemo.sh)\n  is a shell script that sets up demo data, and builds and starts `cc-backend`.\n","numLines":294,"startLine":1,"totalLines":294}},"sourceToolAssistantUUID":"6f0d52ca-e714-4e0a-bd73-e92dee2c37e1","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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It also\nincludes a web interface for ClusterCockpit. This implementation replaces the\nprevious PHP Symfony based ClusterCockpit web interface. The reasons for\nswitching from PHP Symfony to a Golang based solution are explained\n[here](https://github.com/ClusterCockpit/ClusterCockpit/wiki/Why-we-switched-from-PHP-Symfony-to-a-Golang-based-solution).\n\n## Overview\n\nThis is a Golang web backend for the ClusterCockpit job-specific performance\nmonitoring framework. It provides a REST API and an optional NATS-based messaging\nAPI for integrating ClusterCockpit with an HPC cluster batch system and external\nanalysis scripts. Data exchange between the web front-end and the back-end is\nbased on a GraphQL API. The web frontend is also served by the backend using\n[Svelte](https://svelte.dev/) components. Layout and styling are based on\n[Bootstrap 5](https://getbootstrap.com/) using\n[Bootstrap Icons](https://icons.getbootstrap.com/).\n\nThe backend uses [SQLite 3](https://sqlite.org/) as the relational SQL database.\nWhile there are metric data backends for the InfluxDB and Prometheus time series\ndatabases, the only tested and supported setup is to use cc-metric-store as the\nmetric data backend. Documentation on how to integrate ClusterCockpit with other\ntime series databases will be added in the future.\n\nFor real-time integration with HPC systems, the backend can subscribe to\n[NATS](https://nats.io/) subjects to receive job start/stop events and node\nstate updates, providing an alternative to REST API polling.\n\nCompleted batch jobs are stored in a file-based job archive according to\n[this specification](https://github.com/ClusterCockpit/cc-specifications/tree/master/job-archive).\nThe backend supports authentication via local accounts, an external LDAP\ndirectory, and JWT tokens. Authorization for APIs is implemented with\n[JWT](https://jwt.io/) tokens created with public/private key encryption.\n\nYou find a detailed documentation on the [ClusterCockpit\nWebpage](https://clustercockpit.org).\n\n## Build requirements\n\nClusterCockpit requires a current version of the golang toolchain and node.js.\nYou can check `go.mod` to see what is the current minimal golang version needed.\nHomebrew and Archlinux usually have current golang versions. For other Linux\ndistros this often means that you have to install the golang compiler yourself.\nFortunately, this is easy with golang. Since much of the functionality is based\non the Go standard library, it is crucial for security and performance to use a\ncurrent version of golang. In addition, an old golang toolchain may limit the supported\nversions of third-party packages.\n\n## How to try ClusterCockpit with a demo setup\n\nWe provide a shell script that downloads demo data and automatically starts the\ncc-backend. You will need `wget`, `go`, `node`, `npm` in your path to\nstart the demo. The demo downloads 32MB of data (223MB on disk).\n\n```sh\ngit clone https://github.com/ClusterCockpit/cc-backend.git\ncd ./cc-backend\n./startDemo.sh\n```\n\nYou can also try the demo using the latest release binary.\nCreate a folder and put the release binary `cc-backend` into this folder.\nExecute the following steps:\n\n```shell\n./cc-backend -init\nvim config.json (Add a second cluster entry and name the clusters alex and fritz)\nwget https://hpc-mover.rrze.uni-erlangen.de/HPC-Data/0x7b58aefb/eig7ahyo6fo2bais0ephuf2aitohv1ai/job-archive-demo.tar\ntar xf job-archive-demo.tar\n./cc-backend -init-db -add-user demo:admin:demo -loglevel info\n./cc-backend -server -dev -loglevel info\n```\n\nYou can access the web interface at [http://localhost:8080](http://localhost:8080).\nCredentials for login are `demo:demo`.\nPlease note that some views do not work without a metric backend (e.g., the\nAnalysis, Systems and Status views).\n\n## How to build and run\n\nThere is a Makefile to automate the build of cc-backend. The Makefile supports\nthe following targets:\n\n- `make`: Initialize `var` directory and build svelte frontend and backend\n  binary. Note that there is no proper prerequisite handling. Any change of\n  frontend source files will result in a complete rebuild.\n- `make clean`: Clean go build cache and remove binary.\n- `make test`: Run the tests that are also run in the GitHub workflow setup.\n\nA common workflow for setting up cc-backend from scratch is:\n\n```sh\ngit clone https://github.com/ClusterCockpit/cc-backend.git\n\n# Build binary\ncd ./cc-backend/\nmake\n\n# EDIT THE .env FILE BEFORE YOU DEPLOY (Change the secrets)!\n# If authentication is disabled, it can be empty.\ncp configs/env-template.txt  .env\nvim .env\n\ncp configs/config.json .\nvim config.json\n\n#Optional: Link an existing job archive:\nln -s <your-existing-job-archive> ./var/job-archive\n\n# This will first initialize the job.db database by traversing all\n# `meta.json` files in the job-archive and add a new user.\n./cc-backend -init-db -add-user <your-username>:admin:<your-password>\n\n# Start a HTTP server (HTTPS can be enabled in the configuration, the default port is 8080).\n# The --dev flag enables GraphQL Playground (http://localhost:8080/playground) and Swagger UI (http://localhost:8080/swagger).\n./cc-backend -server  -dev\n\n# Show other options:\n./cc-backend -help\n```\n\n## Database Configuration\n\ncc-backend uses SQLite as its database. For large installations, SQLite memory\nusage can be tuned via the optional `db-config` section in config.json under\n`main`:\n\n```json\n{\n  \"main\": {\n    \"db\": \"./var/job.db\",\n    \"db-config\": {\n      \"cache-size-mb\": 2048,\n      \"soft-heap-limit-mb\": 16384,\n      \"max-open-connections\": 4,\n      \"max-idle-connections\": 4,\n      \"max-idle-time-minutes\": 10\n    }\n  }\n}\n```\n\nAll fields are optional. If `db-config` is omitted entirely, built-in defaults\nare used.\n\n### Options\n\n| Option                  | Default | Description                                                                                                                                                                             |\n| ----------------------- | ------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| `cache-size-mb`         | 2048    | SQLite page cache size per connection in MB. Maps to `PRAGMA cache_size`. Total cache memory is up to `cache-size-mb × max-open-connections`.                                           |\n| `soft-heap-limit-mb`    | 16384   | Process-wide SQLite soft heap limit in MB. SQLite will try to release cache pages to stay under this limit. Queries won't fail if exceeded, but cache eviction becomes more aggressive. |\n| `max-open-connections`  | 4       | Maximum number of open database connections.                                                                                                                                            |\n| `max-idle-connections`  | 4       | Maximum number of idle database connections kept in the pool.                                                                                                                           |\n| `max-idle-time-minutes` | 10      | Maximum time in minutes a connection can sit idle before being closed.                                                                                                                  |\n\n### Sizing Guidelines\n\nSQLite's `cache_size` is a **per-connection** setting — each connection\nmaintains its own independent page cache. With multiple connections, the total\nmemory available for caching is the sum across all connections.\n\nIn practice, different connections tend to cache **different pages** (e.g., one\nhandles a job listing query while another runs a statistics aggregation), so\ntheir caches naturally spread across the database. The formula\n`DB_size / max-open-connections` gives enough per-connection cache that the\ncombined caches can cover the entire database.\n\nHowever, this is a best-case estimate. Connections running similar queries will\ncache the same pages redundantly. In the worst case (all connections caching\nidentical pages), only `cache-size-mb` worth of unique data is cached rather\nthan `cache-size-mb × max-open-connections`. For workloads with diverse\nconcurrent queries, cache overlap is typically low.\n\n**Rules of thumb:**\n\n- **cache-size-mb**: Set to `DB_size_in_MB / max-open-connections` to allow the\n  entire database to be cached in memory. For example, an 80GB database with 8\n  connections needs at least 10240 MB (10GB) per connection. If your workload\n  has many similar concurrent queries, consider setting it higher to account for\n  cache overlap between connections.\n\n- **soft-heap-limit-mb**: Should be >= `cache-size-mb × max-open-connections` to\n  avoid cache thrashing. This is the total SQLite memory budget for the process.\n- On small installations the defaults work well. On servers with large databases\n  (tens of GB) and plenty of RAM, increasing these values significantly improves\n  query performance by reducing disk I/O.\n\n### Example: Large Server (512GB RAM, 80GB database)\n\n```json\n{\n  \"main\": {\n    \"db-config\": {\n      \"cache-size-mb\": 16384,\n      \"soft-heap-limit-mb\": 131072,\n      \"max-open-connections\": 8,\n      \"max-idle-time-minutes\": 30\n    }\n  }\n}\n```\n\nThis allows the entire 80GB database to be cached (8 × 16GB = 128GB page cache)\nwith a 128GB soft heap limit, using about 25% of available RAM.\n\nThe effective configuration is logged at startup for verification.\n\n## Project file structure\n\n- [`.github/`](https://github.com/ClusterCockpit/cc-backend/tree/master/.github)\n  GitHub Actions workflows and dependabot configuration for CI/CD.\n- [`api/`](https://github.com/ClusterCockpit/cc-backend/tree/master/api)\n  contains the API schema files for the REST and GraphQL APIs. The REST API is\n  documented in the OpenAPI 3.0 format in\n  [./api/swagger.yaml](./api/swagger.yaml). The GraphQL schema is in\n  [./api/schema.graphqls](./api/schema.graphqls).\n- [`cmd/cc-backend`](https://github.com/ClusterCockpit/cc-backend/tree/master/cmd/cc-backend)\n  contains the main application entry point and CLI implementation.\n- [`configs/`](https://github.com/ClusterCockpit/cc-backend/tree/master/configs)\n  contains documentation about configuration and command line options and required\n  environment variables. Sample configuration files are provided.\n- [`init/`](https://github.com/ClusterCockpit/cc-backend/tree/master/init)\n  contains an example of setting up systemd for production use.\n- [`internal/`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal)\n  contains library source code that is not intended for use by others.\n  - [`api`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/api)\n    REST API handlers and NATS integration\n  - [`archiver`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/archiver)\n    Job archiving functionality\n  - [`auth`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/auth)\n    Authentication (local, LDAP, OIDC) and JWT token handling\n  - [`config`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/config)\n    Configuration management and validation\n  - [`graph`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/graph)\n    GraphQL schema and resolvers\n  - [`importer`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/importer)\n    Job data import and database initialization\n  - [`metricdispatch`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricdispatch)\n    Dispatches metric data loading to appropriate backends\n  - [`repository`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/repository)\n    Database repository layer for jobs and metadata\n  - [`routerConfig`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/routerConfig)\n    HTTP router configuration and middleware\n  - [`tagger`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/tagger)\n    Job classification and application detection\n  - [`taskmanager`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/taskmanager)\n    Background task management and scheduled jobs\n  - [`metricstoreclient`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricstoreclient)\n    Client for cc-metric-store queries\n- [`pkg/`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg)\n  contains Go packages that can be used by other projects.\n  - [`archive`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/archive)\n    Job archive backend implementations (filesystem, S3, SQLite)\n  - [`metricstore`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/metricstore)\n    In-memory metric data store with checkpointing and metric loading\n- [`tools/`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools)\n  Additional command line helper tools.\n  - [`archive-manager`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-manager)\n    Commands for getting infos about an existing job archive, importing jobs\n    between archive backends, and converting archives between JSON and Parquet formats.\n  - [`archive-migration`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-migration)\n    Tool for migrating job archives between formats.\n  - [`convert-pem-pubkey`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/convert-pem-pubkey)\n    Tool to convert external pubkey for use in `cc-backend`.\n  - [`gen-keypair`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/gen-keypair)\n    contains a small application to generate a compatible JWT keypair. You find\n    documentation on how to use it\n    [here](https://github.com/ClusterCockpit/cc-backend/blob/master/docs/JWT-Handling.md).\n- [`web/`](https://github.com/ClusterCockpit/cc-backend/tree/master/web)\n  Server-side templates and frontend-related files:\n  - [`frontend`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/frontend)\n    Svelte components and static assets for the frontend UI\n  - [`templates`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/templates)\n    Server-side Go templates, including monitoring views\n- [`gqlgen.yml`](https://github.com/ClusterCockpit/cc-backend/blob/master/gqlgen.yml)\n  Configures the behaviour and generation of\n  [gqlgen](https://github.com/99designs/gqlgen).\n- [`startDemo.sh`](https://github.com/ClusterCockpit/cc-backend/blob/master/startDemo.sh)\n  is a shell script that sets up demo data, and builds and starts `cc-backend`.\n","structuredPatch":[{"oldStart":148,"oldLines":7,"newStart":148,"newLines":8,"lines":["       \"soft-heap-limit-mb\": 16384,","       \"max-open-connections\": 4,","       \"max-idle-connections\": 4,","-      \"max-idle-time-minutes\": 10","+      \"max-idle-time-minutes\": 10,","+      \"busy-timeout-ms\": 60000","     }","   }"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"f5637273-bc1f-435e-988b-c23545b9baf5","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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When a write is blocked by another writer, SQLite retries internally with backoff for up to this duration before returning `SQLITE_BUSY`.          |","originalFile":"# NOTE\n\nWhile we do our best to keep the master branch in a usable state, there is no guarantee the master branch works.\nPlease do not use it for production!\n\nPlease have a look at the [Release\nNotes](https://github.com/ClusterCockpit/cc-backend/blob/master/ReleaseNotes.md)\nfor breaking changes!\n\n# ClusterCockpit REST and GraphQL API backend\n\n[![Build](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml/badge.svg)](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml)\n\nThis is a Golang backend implementation for a REST and GraphQL API according to\nthe [ClusterCockpit\nspecifications](https://github.com/ClusterCockpit/cc-specifications). It also\nincludes a web interface for ClusterCockpit. This implementation replaces the\nprevious PHP Symfony based ClusterCockpit web interface. The reasons for\nswitching from PHP Symfony to a Golang based solution are explained\n[here](https://github.com/ClusterCockpit/ClusterCockpit/wiki/Why-we-switched-from-PHP-Symfony-to-a-Golang-based-solution).\n\n## Overview\n\nThis is a Golang web backend for the ClusterCockpit job-specific performance\nmonitoring framework. It provides a REST API and an optional NATS-based messaging\nAPI for integrating ClusterCockpit with an HPC cluster batch system and external\nanalysis scripts. Data exchange between the web front-end and the back-end is\nbased on a GraphQL API. The web frontend is also served by the backend using\n[Svelte](https://svelte.dev/) components. Layout and styling are based on\n[Bootstrap 5](https://getbootstrap.com/) using\n[Bootstrap Icons](https://icons.getbootstrap.com/).\n\nThe backend uses [SQLite 3](https://sqlite.org/) as the relational SQL database.\nWhile there are metric data backends for the InfluxDB and Prometheus time series\ndatabases, the only tested and supported setup is to use cc-metric-store as the\nmetric data backend. Documentation on how to integrate ClusterCockpit with other\ntime series databases will be added in the future.\n\nFor real-time integration with HPC systems, the backend can subscribe to\n[NATS](https://nats.io/) subjects to receive job start/stop events and node\nstate updates, providing an alternative to REST API polling.\n\nCompleted batch jobs are stored in a file-based job archive according to\n[this specification](https://github.com/ClusterCockpit/cc-specifications/tree/master/job-archive).\nThe backend supports authentication via local accounts, an external LDAP\ndirectory, and JWT tokens. Authorization for APIs is implemented with\n[JWT](https://jwt.io/) tokens created with public/private key encryption.\n\nYou find a detailed documentation on the [ClusterCockpit\nWebpage](https://clustercockpit.org).\n\n## Build requirements\n\nClusterCockpit requires a current version of the golang toolchain and node.js.\nYou can check `go.mod` to see what is the current minimal golang version needed.\nHomebrew and Archlinux usually have current golang versions. For other Linux\ndistros this often means that you have to install the golang compiler yourself.\nFortunately, this is easy with golang. Since much of the functionality is based\non the Go standard library, it is crucial for security and performance to use a\ncurrent version of golang. In addition, an old golang toolchain may limit the supported\nversions of third-party packages.\n\n## How to try ClusterCockpit with a demo setup\n\nWe provide a shell script that downloads demo data and automatically starts the\ncc-backend. You will need `wget`, `go`, `node`, `npm` in your path to\nstart the demo. The demo downloads 32MB of data (223MB on disk).\n\n```sh\ngit clone https://github.com/ClusterCockpit/cc-backend.git\ncd ./cc-backend\n./startDemo.sh\n```\n\nYou can also try the demo using the latest release binary.\nCreate a folder and put the release binary `cc-backend` into this folder.\nExecute the following steps:\n\n```shell\n./cc-backend -init\nvim config.json (Add a second cluster entry and name the clusters alex and fritz)\nwget https://hpc-mover.rrze.uni-erlangen.de/HPC-Data/0x7b58aefb/eig7ahyo6fo2bais0ephuf2aitohv1ai/job-archive-demo.tar\ntar xf job-archive-demo.tar\n./cc-backend -init-db -add-user demo:admin:demo -loglevel info\n./cc-backend -server -dev -loglevel info\n```\n\nYou can access the web interface at [http://localhost:8080](http://localhost:8080).\nCredentials for login are `demo:demo`.\nPlease note that some views do not work without a metric backend (e.g., the\nAnalysis, Systems and Status views).\n\n## How to build and run\n\nThere is a Makefile to automate the build of cc-backend. The Makefile supports\nthe following targets:\n\n- `make`: Initialize `var` directory and build svelte frontend and backend\n  binary. Note that there is no proper prerequisite handling. Any change of\n  frontend source files will result in a complete rebuild.\n- `make clean`: Clean go build cache and remove binary.\n- `make test`: Run the tests that are also run in the GitHub workflow setup.\n\nA common workflow for setting up cc-backend from scratch is:\n\n```sh\ngit clone https://github.com/ClusterCockpit/cc-backend.git\n\n# Build binary\ncd ./cc-backend/\nmake\n\n# EDIT THE .env FILE BEFORE YOU DEPLOY (Change the secrets)!\n# If authentication is disabled, it can be empty.\ncp configs/env-template.txt  .env\nvim .env\n\ncp configs/config.json .\nvim config.json\n\n#Optional: Link an existing job archive:\nln -s <your-existing-job-archive> ./var/job-archive\n\n# This will first initialize the job.db database by traversing all\n# `meta.json` files in the job-archive and add a new user.\n./cc-backend -init-db -add-user <your-username>:admin:<your-password>\n\n# Start a HTTP server (HTTPS can be enabled in the configuration, the default port is 8080).\n# The --dev flag enables GraphQL Playground (http://localhost:8080/playground) and Swagger UI (http://localhost:8080/swagger).\n./cc-backend -server  -dev\n\n# Show other options:\n./cc-backend -help\n```\n\n## Database Configuration\n\ncc-backend uses SQLite as its database. For large installations, SQLite memory\nusage can be tuned via the optional `db-config` section in config.json under\n`main`:\n\n```json\n{\n  \"main\": {\n    \"db\": \"./var/job.db\",\n    \"db-config\": {\n      \"cache-size-mb\": 2048,\n      \"soft-heap-limit-mb\": 16384,\n      \"max-open-connections\": 4,\n      \"max-idle-connections\": 4,\n      \"max-idle-time-minutes\": 10,\n      \"busy-timeout-ms\": 60000\n    }\n  }\n}\n```\n\nAll fields are optional. If `db-config` is omitted entirely, built-in defaults\nare used.\n\n### Options\n\n| Option                  | Default | Description                                                                                                                                                                             |\n| ----------------------- | ------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| `cache-size-mb`         | 2048    | SQLite page cache size per connection in MB. Maps to `PRAGMA cache_size`. Total cache memory is up to `cache-size-mb × max-open-connections`.                                           |\n| `soft-heap-limit-mb`    | 16384   | Process-wide SQLite soft heap limit in MB. SQLite will try to release cache pages to stay under this limit. Queries won't fail if exceeded, but cache eviction becomes more aggressive. |\n| `max-open-connections`  | 4       | Maximum number of open database connections.                                                                                                                                            |\n| `max-idle-connections`  | 4       | Maximum number of idle database connections kept in the pool.                                                                                                                           |\n| `max-idle-time-minutes` | 10      | Maximum time in minutes a connection can sit idle before being closed.                                                                                                                  |\n\n### Sizing Guidelines\n\nSQLite's `cache_size` is a **per-connection** setting — each connection\nmaintains its own independent page cache. With multiple connections, the total\nmemory available for caching is the sum across all connections.\n\nIn practice, different connections tend to cache **different pages** (e.g., one\nhandles a job listing query while another runs a statistics aggregation), so\ntheir caches naturally spread across the database. The formula\n`DB_size / max-open-connections` gives enough per-connection cache that the\ncombined caches can cover the entire database.\n\nHowever, this is a best-case estimate. Connections running similar queries will\ncache the same pages redundantly. In the worst case (all connections caching\nidentical pages), only `cache-size-mb` worth of unique data is cached rather\nthan `cache-size-mb × max-open-connections`. For workloads with diverse\nconcurrent queries, cache overlap is typically low.\n\n**Rules of thumb:**\n\n- **cache-size-mb**: Set to `DB_size_in_MB / max-open-connections` to allow the\n  entire database to be cached in memory. For example, an 80GB database with 8\n  connections needs at least 10240 MB (10GB) per connection. If your workload\n  has many similar concurrent queries, consider setting it higher to account for\n  cache overlap between connections.\n\n- **soft-heap-limit-mb**: Should be >= `cache-size-mb × max-open-connections` to\n  avoid cache thrashing. This is the total SQLite memory budget for the process.\n- On small installations the defaults work well. On servers with large databases\n  (tens of GB) and plenty of RAM, increasing these values significantly improves\n  query performance by reducing disk I/O.\n\n### Example: Large Server (512GB RAM, 80GB database)\n\n```json\n{\n  \"main\": {\n    \"db-config\": {\n      \"cache-size-mb\": 16384,\n      \"soft-heap-limit-mb\": 131072,\n      \"max-open-connections\": 8,\n      \"max-idle-time-minutes\": 30\n    }\n  }\n}\n```\n\nThis allows the entire 80GB database to be cached (8 × 16GB = 128GB page cache)\nwith a 128GB soft heap limit, using about 25% of available RAM.\n\nThe effective configuration is logged at startup for verification.\n\n## Project file structure\n\n- [`.github/`](https://github.com/ClusterCockpit/cc-backend/tree/master/.github)\n  GitHub Actions workflows and dependabot configuration for CI/CD.\n- [`api/`](https://github.com/ClusterCockpit/cc-backend/tree/master/api)\n  contains the API schema files for the REST and GraphQL APIs. The REST API is\n  documented in the OpenAPI 3.0 format in\n  [./api/swagger.yaml](./api/swagger.yaml). The GraphQL schema is in\n  [./api/schema.graphqls](./api/schema.graphqls).\n- [`cmd/cc-backend`](https://github.com/ClusterCockpit/cc-backend/tree/master/cmd/cc-backend)\n  contains the main application entry point and CLI implementation.\n- [`configs/`](https://github.com/ClusterCockpit/cc-backend/tree/master/configs)\n  contains documentation about configuration and command line options and required\n  environment variables. Sample configuration files are provided.\n- [`init/`](https://github.com/ClusterCockpit/cc-backend/tree/master/init)\n  contains an example of setting up systemd for production use.\n- [`internal/`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal)\n  contains library source code that is not intended for use by others.\n  - [`api`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/api)\n    REST API handlers and NATS integration\n  - [`archiver`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/archiver)\n    Job archiving functionality\n  - [`auth`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/auth)\n    Authentication (local, LDAP, OIDC) and JWT token handling\n  - [`config`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/config)\n    Configuration management and validation\n  - [`graph`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/graph)\n    GraphQL schema and resolvers\n  - [`importer`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/importer)\n    Job data import and database initialization\n  - [`metricdispatch`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricdispatch)\n    Dispatches metric data loading to appropriate backends\n  - [`repository`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/repository)\n    Database repository layer for jobs and metadata\n  - [`routerConfig`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/routerConfig)\n    HTTP router configuration and middleware\n  - [`tagger`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/tagger)\n    Job classification and application detection\n  - [`taskmanager`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/taskmanager)\n    Background task management and scheduled jobs\n  - [`metricstoreclient`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricstoreclient)\n    Client for cc-metric-store queries\n- [`pkg/`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg)\n  contains Go packages that can be used by other projects.\n  - [`archive`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/archive)\n    Job archive backend implementations (filesystem, S3, SQLite)\n  - [`metricstore`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/metricstore)\n    In-memory metric data store with checkpointing and metric loading\n- [`tools/`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools)\n  Additional command line helper tools.\n  - [`archive-manager`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-manager)\n    Commands for getting infos about an existing job archive, importing jobs\n    between archive backends, and converting archives between JSON and Parquet formats.\n  - [`archive-migration`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-migration)\n    Tool for migrating job archives between formats.\n  - [`convert-pem-pubkey`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/convert-pem-pubkey)\n    Tool to convert external pubkey for use in `cc-backend`.\n  - [`gen-keypair`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/gen-keypair)\n    contains a small application to generate a compatible JWT keypair. You find\n    documentation on how to use it\n    [here](https://github.com/ClusterCockpit/cc-backend/blob/master/docs/JWT-Handling.md).\n- [`web/`](https://github.com/ClusterCockpit/cc-backend/tree/master/web)\n  Server-side templates and frontend-related files:\n  - [`frontend`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/frontend)\n    Svelte components and static assets for the frontend UI\n  - [`templates`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/templates)\n    Server-side Go templates, including monitoring views\n- [`gqlgen.yml`](https://github.com/ClusterCockpit/cc-backend/blob/master/gqlgen.yml)\n  Configures the behaviour and generation of\n  [gqlgen](https://github.com/99designs/gqlgen).\n- [`startDemo.sh`](https://github.com/ClusterCockpit/cc-backend/blob/master/startDemo.sh)\n  is a shell script that sets up demo data, and builds and starts `cc-backend`.\n","structuredPatch":[{"oldStart":167,"oldLines":6,"newStart":167,"newLines":7,"lines":[" | `max-open-connections`  | 4       | Maximum number of open database connections.                                                                                                                                            |"," | `max-idle-connections`  | 4       | Maximum number of idle database connections kept in the pool.                                                                                                                           |"," | `max-idle-time-minutes` | 10      | Maximum time in minutes a connection can sit idle before being closed.                                                                                                                  |","+| `busy-timeout-ms`       | 60000   | SQLite busy timeout in milliseconds. 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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package config implements the program configuration data structures, validation and parsing\npackage config\n\nimport (\n\t\"bytes\"\n\t\"encoding/json\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n)\n\ntype ProgramConfig struct {\n\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n\tAddr string `json:\"addr\"`\n\n\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n\n\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n\n\t// Drop root permissions once .env was read and the port was taken.\n\tUser  string `json:\"user\"`\n\tGroup string `json:\"group\"`\n\n\t// Disable authentication (for everything: API, Web-UI, ...)\n\tDisableAuthentication bool `json:\"disable-authentication\"`\n\n\t// If `embed-static-files` is true (default), the frontend files are directly\n\t// embeded into the go binary and expected to be in web/frontend. Only if\n\t// it is false the files in `static-files` are served instead.\n\tEmbedStaticFiles bool   `json:\"embed-static-files\"`\n\tStaticFiles      string `json:\"static-files\"`\n\n\t// Path to SQLite database file\n\tDB string `json:\"db\"`\n\n\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n\n\t// Validate json input against schema\n\tValidate bool `json:\"validate\"`\n\n\t// If 0 or empty, the session does not expire!\n\tSessionMaxAge string `json:\"session-max-age\"`\n\n\t// If both those options are not empty, use HTTPS using those certificates.\n\tHTTPSCertFile string `json:\"https-cert-file\"`\n\tHTTPSKeyFile  string `json:\"https-key-file\"`\n\n\t// If not the empty string and `addr` does not end in \":80\",\n\t// redirect every request incoming at port 80 to that url.\n\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n\n\t// Where to store MachineState files\n\tMachineStateDir string `json:\"machine-state-dir\"`\n\n\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n\n\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n\n\t// Energy Mix CO2 Emission Constant [g/kWh]\n\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n\tEmissionConstant int `json:\"emission-constant\"`\n\n\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n\tEnableResampling *ResampleConfig `json:\"resampling\"`\n\n\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n\tSystemdUnit string `json:\"systemd-unit\"`\n\n\t// Node state retention configuration\n\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n\n\t// Database tuning configuration\n\tDbConfig *DbConfig `json:\"db-config\"`\n}\n\ntype DbConfig struct {\n\tCacheSizeMB               int `json:\"cache-size-mb\"`\n\tSoftHeapLimitMB           int `json:\"soft-heap-limit-mb\"`\n\tMaxOpenConnections        int `json:\"max-open-connections\"`\n\tMaxIdleConnections        int `json:\"max-idle-connections\"`\n\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n}\n\ntype NodeStateRetention struct {\n\tPolicy             string `json:\"policy\"`      // \"delete\" or \"move\"\n\tAge                int    `json:\"age\"`         // hours, default 24\n\tTargetKind         string `json:\"target-kind\"` // \"file\" or \"s3\"\n\tTargetPath         string `json:\"target-path\"`\n\tTargetEndpoint     string `json:\"target-endpoint\"`\n\tTargetBucket       string `json:\"target-bucket\"`\n\tTargetAccessKey    string `json:\"target-access-key\"`\n\tTargetSecretKey    string `json:\"target-secret-key\"`\n\tTargetRegion       string `json:\"target-region\"`\n\tTargetUsePathStyle bool   `json:\"target-use-path-style\"`\n\tMaxFileSizeMB      int    `json:\"max-file-size-mb\"`\n}\n\ntype ResampleConfig struct {\n\t// Minimum number of points to trigger resampling of data\n\tMinimumPoints int `json:\"minimum-points\"`\n\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n\tResolutions []int `json:\"resolutions\"`\n\t// Trigger next zoom level at less than this many visible datapoints\n\tTrigger int `json:\"trigger\"`\n}\n\ntype NATSConfig struct {\n\tSubjectJobEvent  string `json:\"subject-job-event\"`\n\tSubjectNodeState string `json:\"subject-node-state\"`\n}\n\ntype IntRange struct {\n\tFrom int `json:\"from\"`\n\tTo   int `json:\"to\"`\n}\n\ntype TimeRange struct {\n\tFrom  *time.Time `json:\"from\"`\n\tTo    *time.Time `json:\"to\"`\n\tRange string     `json:\"range,omitempty\"`\n}\n\ntype FilterRanges struct {\n\tDuration  *IntRange  `json:\"duration\"`\n\tNumNodes  *IntRange  `json:\"num-nodes\"`\n\tStartTime *TimeRange `json:\"start-time\"`\n}\n\nvar Keys ProgramConfig = ProgramConfig{\n\tAddr:                      \"localhost:8080\",\n\tEmbedStaticFiles:          true,\n\tDB:                        \"./var/job.db\",\n\tSessionMaxAge:             \"168h\",\n\tStopJobsExceedingWalltime: 0,\n\tShortRunningJobsDuration:  5 * 60,\n}\n\nfunc Init(mainConfig json.RawMessage) {\n\tValidate(configSchema, mainConfig)\n\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&Keys); err != nil {\n\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n\t}\n\n\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n\t}\n}\n","structuredPatch":[{"oldStart":88,"oldLines":6,"newStart":88,"newLines":7,"lines":["   MaxOpenConnections        int `json:\"max-open-connections\"`","   MaxIdleConnections        int `json:\"max-idle-connections\"`","   ConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`","+  BusyTimeoutMs             int `json:\"busy-timeout-ms\"`"," }"," "," type NodeStateRetention struct {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"fa3d9149-dc5b-4815-bfed-c1b24d44d971","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package main provides the entry point for the ClusterCockpit backend server.\n// It orchestrates initialization of all subsystems including configuration,\n// database, authentication, and the HTTP server.\npackage main\n\nimport (\n\t\"context\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"os/signal\"\n\t\"runtime/debug\"\n\t\"strings\"\n\t\"sync\"\n\t\"syscall\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/taskmanager\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\t\"github.com/ClusterCockpit/cc-backend/web\"\n\tccconf \"github.com/ClusterCockpit/cc-lib/v2/ccConfig\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t\"github.com/google/gops/agent\"\n\t\"github.com/joho/godotenv\"\n\n\t_ \"github.com/mattn/go-sqlite3\"\n)\n\nconst logoString = `\n _____ _           _             ____           _          _ _\n/  ___| |_   _ ___| |_ ___ _ __ / ___|___   ___| | ___ __ (_) |_\n| |   | | | | / __| __/ _ \\ '__| |   / _ \\ / __| |/ / '_ \\| | __|\n| |___| | |_| \\__ \\ ||  __/ |  | |__| (_) | (__|   <| |_) | | |_\n\\_____|_|\\__,_|___/\\__\\___|_|   \\____\\___/ \\___|_|\\_\\ .__/|_|\\__|\n                                                    |_|\n`\n\n// Environment variable names\nconst (\n\tenvGOGC = \"GOGC\"\n)\n\n// Default configurations\nconst (\n\tdefaultArchiveConfig = `{\"kind\":\"file\",\"path\":\"./var/job-archive\"}`\n)\n\nvar (\n\tdate    string\n\tcommit  string\n\tversion string\n)\n\nfunc printVersion() {\n\tfmt.Print(logoString)\n\tfmt.Printf(\"Version:\\t%s\\n\", version)\n\tfmt.Printf(\"Git hash:\\t%s\\n\", commit)\n\tfmt.Printf(\"Build time:\\t%s\\n\", date)\n\tfmt.Printf(\"SQL db version:\\t%d\\n\", repository.Version)\n\tfmt.Printf(\"Job archive version:\\t%d\\n\", archive.Version)\n}\n\nfunc initGops() error {\n\tif !flagGops {\n\t\treturn nil\n\t}\n\n\tif err := agent.Listen(agent.Options{}); err != nil {\n\t\treturn fmt.Errorf(\"starting gops agent: %w\", err)\n\t}\n\treturn nil\n}\n\nfunc loadEnvironment() error {\n\tif err := godotenv.Load(); err != nil {\n\t\treturn fmt.Errorf(\"loading .env file: %w\", err)\n\t}\n\treturn nil\n}\n\nfunc initConfiguration() error {\n\tccconf.Init(flagConfigFile)\n\n\tcfg := ccconf.GetPackageConfig(\"main\")\n\tif cfg == nil {\n\t\treturn fmt.Errorf(\"main configuration must be present\")\n\t}\n\n\tconfig.Init(cfg)\n\treturn nil\n}\n\nfunc initDatabase() error {\n\tif config.Keys.DbConfig != nil {\n\t\tcfg := repository.DefaultConfig()\n\t\tdc := config.Keys.DbConfig\n\t\tif dc.CacheSizeMB > 0 {\n\t\t\tcfg.DbCacheSizeMB = dc.CacheSizeMB\n\t\t}\n\t\tif dc.SoftHeapLimitMB > 0 {\n\t\t\tcfg.DbSoftHeapLimitMB = dc.SoftHeapLimitMB\n\t\t}\n\t\tif dc.MaxOpenConnections > 0 {\n\t\t\tcfg.MaxOpenConnections = dc.MaxOpenConnections\n\t\t}\n\t\tif dc.MaxIdleConnections > 0 {\n\t\t\tcfg.MaxIdleConnections = dc.MaxIdleConnections\n\t\t}\n\t\tif dc.ConnectionMaxIdleTimeMins > 0 {\n\t\t\tcfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute\n\t\t}\n\t\trepository.SetConfig(cfg)\n\t}\n\trepository.Connect(config.Keys.DB)\n\treturn nil\n}\n\nfunc handleDatabaseCommands() error {\n\tif flagMigrateDB {\n\t\terr := repository.MigrateDB(config.Keys.DB)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"migrating database to version %d: %w\", repository.Version, err)\n\t\t}\n\t\tcclog.Exitf(\"MigrateDB Success: Migrated SQLite database at '%s' to version %d.\\n\",\n\t\t\tconfig.Keys.DB, repository.Version)\n\t}\n\n\tif flagRevertDB {\n\t\terr := repository.RevertDB(config.Keys.DB)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"reverting database to version %d: %w\", repository.Version-1, err)\n\t\t}\n\t\tcclog.Exitf(\"RevertDB Success: Reverted SQLite database at '%s' to version %d.\\n\",\n\t\t\tconfig.Keys.DB, repository.Version-1)\n\t}\n\n\tif flagForceDB {\n\t\terr := repository.ForceDB(config.Keys.DB)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"forcing database to version %d: %w\", repository.Version, err)\n\t\t}\n\t\tcclog.Exitf(\"ForceDB Success: Forced SQLite database at '%s' to version %d.\\n\",\n\t\t\tconfig.Keys.DB, repository.Version)\n\t}\n\n\treturn nil\n}\n\nfunc handleUserCommands() error {\n\tif config.Keys.DisableAuthentication && (flagNewUser != \"\" || flagDelUser != \"\") {\n\t\treturn fmt.Errorf(\"--add-user and --del-user can only be used if authentication is enabled\")\n\t}\n\n\tif !config.Keys.DisableAuthentication {\n\t\tif cfg := ccconf.GetPackageConfig(\"auth\"); cfg != nil {\n\t\t\tauth.Init(&cfg)\n\t\t} else {\n\t\t\tcclog.Warn(\"Authentication disabled due to missing configuration\")\n\t\t\tauth.Init(nil)\n\t\t}\n\n\t\t// Check for default security keys\n\t\tcheckDefaultSecurityKeys()\n\n\t\tif flagNewUser != \"\" {\n\t\t\tif err := addUser(flagNewUser); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\n\t\tif flagDelUser != \"\" {\n\t\t\tif err := delUser(flagDelUser); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\n\t\tauthHandle := auth.GetAuthInstance()\n\n\t\tif flagSyncLDAP {\n\t\t\tif err := syncLDAP(authHandle); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\n\t\tif flagGenJWT != \"\" {\n\t\t\tif err := generateJWT(authHandle, flagGenJWT); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// checkDefaultSecurityKeys warns if default JWT keys are detected\nfunc checkDefaultSecurityKeys() {\n\t// Default JWT public key from init.go\n\tdefaultJWTPublic := \"REDACTED\"\n\n\tif os.Getenv(\"JWT_PUBLIC_KEY\") == defaultJWTPublic {\n\t\tcclog.Warn(\"Using default JWT keys - not recommended for production environments\")\n\t}\n}\n\nfunc addUser(userSpec string) error {\n\tparts := strings.SplitN(userSpec, \":\", 3)\n\tif len(parts) != 3 || len(parts[0]) == 0 {\n\t\treturn fmt.Errorf(\"invalid user format, want: <username>:[admin,support,manager,api,user]:<password>, have: %s\", userSpec)\n\t}\n\n\tur := repository.GetUserRepository()\n\tif err := ur.AddUser(&schema.User{\n\t\tUsername: parts[0],\n\t\tProjects: make([]string, 0),\n\t\tPassword: parts[2],\n\t\tRoles:    strings.Split(parts[1], \",\"),\n\t}); err != nil {\n\t\treturn fmt.Errorf(\"adding user '%s' with roles '%s': %w\", parts[0], parts[1], err)\n\t}\n\n\tcclog.Infof(\"Add User: Added new user '%s' with roles '%s'\", parts[0], parts[1])\n\treturn nil\n}\n\nfunc delUser(username string) error {\n\tur := repository.GetUserRepository()\n\tif err := ur.DelUser(username); err != nil {\n\t\treturn fmt.Errorf(\"deleting user '%s': %w\", username, err)\n\t}\n\tcclog.Infof(\"Delete User: Deleted user '%s' from DB\", username)\n\treturn nil\n}\n\nfunc syncLDAP(authHandle *auth.Authentication) error {\n\tif authHandle.LdapAuth == nil {\n\t\treturn fmt.Errorf(\"LDAP authentication is not configured\")\n\t}\n\n\tif err := authHandle.LdapAuth.Sync(); err != nil {\n\t\treturn fmt.Errorf(\"synchronizing LDAP: %w\", err)\n\t}\n\n\tcclog.Print(\"Sync LDAP: LDAP synchronization successfull.\")\n\treturn nil\n}\n\nfunc generateJWT(authHandle *auth.Authentication, username string) error {\n\tur := repository.GetUserRepository()\n\tuser, err := ur.GetUser(username)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"getting user '%s': %w\", username, err)\n\t}\n\n\tif !user.HasRole(schema.RoleAPI) {\n\t\tcclog.Warnf(\"JWT: User '%s' does not have the role 'api'. REST API endpoints will return error!\\n\", user.Username)\n\t}\n\n\tjwt, err := authHandle.JwtAuth.ProvideJWT(user)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"generating JWT for user '%s': %w\", user.Username, err)\n\t}\n\n\tcclog.Printf(\"JWT: Successfully generated JWT for user '%s': %s\\n\", user.Username, jwt)\n\treturn nil\n}\n\nfunc initSubsystems() error {\n\t// Initialize nats client\n\tnatsConfig := ccconf.GetPackageConfig(\"nats\")\n\tif err := nats.Init(natsConfig); err != nil {\n\t\tcclog.Warnf(\"initializing (optional) nats client: %s\", err.Error())\n\t}\n\tnats.Connect()\n\n\t// Initialize job archive\n\tarchiveCfg := ccconf.GetPackageConfig(\"archive\")\n\tif archiveCfg == nil {\n\t\tcclog.Debug(\"Archive configuration not found, using default archive configuration\")\n\t\tarchiveCfg = json.RawMessage(defaultArchiveConfig)\n\t}\n\tif err := archive.Init(archiveCfg); err != nil {\n\t\treturn fmt.Errorf(\"initializing archive: %w\", err)\n\t}\n\n\t// Handle database re-initialization\n\tif flagReinitDB {\n\t\tif err := importer.InitDB(); err != nil {\n\t\t\treturn fmt.Errorf(\"re-initializing repository DB: %w\", err)\n\t\t}\n\t\tcclog.Print(\"Init DB: Successfully re-initialized repository DB.\")\n\t}\n\n\t// Handle job import\n\tif flagImportJob != \"\" {\n\t\tif err := importer.HandleImportFlag(flagImportJob); err != nil {\n\t\t\treturn fmt.Errorf(\"importing job: %w\", err)\n\t\t}\n\t\tcclog.Infof(\"Import Job: Imported Job '%s' into DB\", flagImportJob)\n\t}\n\n\t// Initialize taggers\n\tif config.Keys.EnableJobTaggers {\n\t\ttagger.Init()\n\t}\n\n\t// Apply tags if requested\n\tif flagApplyTags {\n\t\ttagger.Init()\n\n\t\tif err := tagger.RunTaggers(); err != nil {\n\t\t\treturn fmt.Errorf(\"running job taggers: %w\", err)\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc runServer(ctx context.Context) error {\n\tvar wg sync.WaitGroup\n\n\t// Initialize metric store if configuration is provided\n\thaveMetricstore := false\n\tmscfg := ccconf.GetPackageConfig(\"metric-store\")\n\tif mscfg != nil {\n\t\tmetrics := metricstore.BuildMetricList()\n\t\tmetricstore.Init(mscfg, metrics, &wg)\n\n\t\t// Inject repository as NodeProvider to break import cycle\n\t\tms := metricstore.GetMemoryStore()\n\t\tjobRepo := repository.GetJobRepository()\n\t\tms.SetNodeProvider(jobRepo)\n\t\tmetricstore.MetricStoreHandle = &metricstore.InternalMetricStore{}\n\t\thaveMetricstore = true\n\t} else {\n\t\tmetricstore.MetricStoreHandle = nil\n\t\tcclog.Debug(\"missing internal metricstore configuration\")\n\t}\n\n\t// Initialize external metric stores if configuration is provided\n\tmscfg = ccconf.GetPackageConfig(\"metric-store-external\")\n\tif mscfg != nil {\n\t\terr := metricdispatch.Init(mscfg)\n\n\t\tif err != nil {\n\t\t\tcclog.Debugf(\"error while initializing external metricdispatch: %v\", err)\n\t\t} else {\n\t\t\thaveMetricstore = true\n\t\t}\n\t}\n\n\tif !haveMetricstore {\n\t\treturn fmt.Errorf(\"missing metricstore configuration\")\n\t}\n\n\t// Start archiver and task manager\n\tarchiver.Start(repository.GetJobRepository(), ctx)\n\ttaskmanager.Start(ccconf.GetPackageConfig(\"cron\"), ccconf.GetPackageConfig(\"archive\"))\n\n\t// Initialize web UI\n\tcfg := ccconf.GetPackageConfig(\"ui\")\n\tif err := web.Init(cfg); err != nil {\n\t\treturn fmt.Errorf(\"initializing web UI: %w\", err)\n\t}\n\n\t// Initialize HTTP server\n\tsrv, err := NewServer(version, commit, date)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"creating server: %w\", err)\n\t}\n\n\t// Channel to collect errors from server\n\terrChan := make(chan error, 1)\n\n\t// Start HTTP server\n\twg.Go(func() {\n\t\tif err := srv.Start(ctx); err != nil {\n\t\t\terrChan <- err\n\t\t}\n\t})\n\n\t// Handle shutdown signals\n\twg.Add(1)\n\tsigs := make(chan os.Signal, 1)\n\tsignal.Notify(sigs, syscall.SIGINT, syscall.SIGTERM)\n\tgo func() {\n\t\tdefer wg.Done()\n\t\tselect {\n\t\tcase <-sigs:\n\t\t\tcclog.Info(\"Shutdown signal received\")\n\t\tcase <-ctx.Done():\n\t\t}\n\n\t\truntime.SystemdNotify(false, \"Shutting down ...\")\n\t\tsrv.Shutdown(ctx)\n\t\tutil.FsWatcherShutdown()\n\t\ttaskmanager.Shutdown()\n\t}()\n\n\t// Set GC percent if not configured\n\tif os.Getenv(envGOGC) == \"\" {\n\t\t// trigger GC when heap grows 15% above the previous live set\n\t\tdebug.SetGCPercent(15)\n\t}\n\truntime.SystemdNotify(true, \"running\")\n\n\twaitDone := make(chan struct{})\n\tgo func() {\n\t\twg.Wait()\n\t\tclose(waitDone)\n\t}()\n\n\tgo func() {\n\t\t<-waitDone\n\t\tclose(errChan)\n\t}()\n\n\t// Wait for either:\n\t// 1. An error from server startup\n\t// 2. Completion of all goroutines (normal shutdown or crash)\n\tselect {\n\tcase err := <-errChan:\n\t\t// errChan will be closed when waitDone is closed, which happens\n\t\t// when all goroutines complete (either from normal shutdown or error)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\tcase <-time.After(100 * time.Millisecond):\n\t\t// Give the server 100ms to start and report any immediate startup errors\n\t\t// After that, just wait for normal shutdown completion\n\t\tselect {\n\t\tcase err := <-errChan:\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\tcase <-waitDone:\n\t\t\t// Normal shutdown completed\n\t\t}\n\t}\n\n\tcclog.Print(\"Graceful shutdown completed!\")\n\treturn nil\n}\n\nfunc run() error {\n\tcliInit()\n\n\tif flagVersion {\n\t\tprintVersion()\n\t\treturn nil\n\t}\n\n\t// Initialize logger\n\tcclog.Init(flagLogLevel, flagLogDateTime)\n\n\t// Handle init flag\n\tif flagInit {\n\t\tinitEnv()\n\t\tcclog.Exit(\"Successfully setup environment!\\n\" +\n\t\t\t\"Please review config.json and .env and adjust it to your needs.\\n\" +\n\t\t\t\"Add your job-archive at ./var/job-archive.\")\n\t}\n\n\t// Initialize gops agent\n\tif err := initGops(); err != nil {\n\t\treturn err\n\t}\n\n\t// Initialize subsystems in dependency order:\n\t// 1. 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new file mode 100644
index 00000000..64f47046
--- /dev/null
+++ b/92/c797737df8/1/metadata.json
@@ -0,0 +1,33 @@
+{
+  "cli_version": "0.5.0",
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+  "strategy": "manual-commit",
+  "created_at": "2026-03-18T09:57:07.30549Z",
+  "branch": "hotfix",
+  "checkpoints_count": 1,
+  "files_touched": [
+    "internal/api/node.go"
+  ],
+  "agent": "Claude Code",
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+    "cache_creation_tokens": 122203,
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+  "session_metrics": {
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+}
diff --git a/92/c797737df8/1/prompt.txt b/92/c797737df8/1/prompt.txt
new file mode 100644
index 00000000..05b200b9
--- /dev/null
+++ b/92/c797737df8/1/prompt.txt
@@ -0,0 +1,5 @@
+Are there other opportunities to reduce the insert pressure on the db using transactions or other techniques?
+
+---
+
+Update the Database config section in the README to reflect the new setting
\ No newline at end of file
diff --git a/92/c797737df8/metadata.json b/92/c797737df8/metadata.json
new file mode 100644
index 00000000..e4b7ee36
--- /dev/null
+++ b/92/c797737df8/metadata.json
@@ -0,0 +1,31 @@
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+  "checkpoints_count": 2,
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+{"parentUuid":"57929479-b46e-40e7-b5f5-1818d675ae32","isSidechain":false,"promptId":"4fcd0306-e2ee-4526-a0bf-c87699d19405","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Plan: Fix Slow Project Stats Query\n\n## Context\n\nThe `/monitoring/projects/` page is significantly slower than `/monitoring/users/` despite using the same code path (`List.root.svelte`, same GraphQL query, same SQL structure). Both call `JobsStatsGrouped` via the `jobsStatistics` resolver.\n\n## Root Cause\n\n`WithStatsGroupCache` is injected into **every** GraphQL request context via `AroundOperations` in `cmd/cc-backend/server.go:96`. This means the cache path in the resolver is **always** taken for grouped stats queries.\n\nThe cache path calls:\n```go\nreturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil)\n```\nwith `nil` for `reqFields`, which forces **all** SQL columns to be computed — including:\n```sql\nCOUNT(DISTINCT job.hpc_user) AS totalUsers\n```\n\nThis is the performance bottleneck:\n\n- **User grouping** (`GROUP BY hpc_user`): Each group has exactly 1 distinct `hpc_user` value → `COUNT(DISTINCT)` = trivially 1 per group → fast\n- **Project grouping** (`GROUP BY project`): Each project can have 10s–100s of distinct users across thousands of jobs → SQLite must maintain a hash set per group → expensive\n\nThe `List.root.svelte` frontend query does **not** request `totalUsers` for either page. It only requests: `id, name, totalJobs, shortJobs, totalWalltime, totalCoreHours, totalAccHours`. So `COUNT(DISTINCT hpc_user)` is computed for no reason, but is only costly for project grouping.\n\n**Why user page is fast**: `COUNT(DISTINCT hpc_user)` when grouping by `hpc_user` is trivially 1 per group — effectively O(1) per group.\n\n**Why project page is slow**: `COUNT(DISTINCT hpc_user)` when grouping by `project` requires deduplicating all users across potentially thousands of jobs per project.\n\n## What the Status Page Needs\n\n`StatusDash.svelte` requests `totalUsers` for `groupBy: SUBCLUSTER` — so `COUNT(DISTINCT hpc_user)` IS needed there. The fix must not break this.\n\n## Fix\n\nChange the cache path to pass the actual `reqFields` (derived from the GraphQL selection set) instead of `nil`, and include `reqFields` in the cache key so that identical requests still share cached results.\n\n### Files to Modify\n\n1. **`internal/graph/schema.resolvers.go`** (line ~678–688)\n   - Pass `reqFields` instead of `nil` to `JobsStatsGrouped` in the cache path\n\n2. **`internal/graph/stats_cache.go`** (function `statsCacheKey`)\n   - Include reqFields in the cache key so caching still deduplicates identical requests\n\n### Changes\n\n**`internal/graph/stats_cache.go`**:\n\nUpdate `statsCacheKey` to accept and include reqFields:\n```go\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate, reqFields map[string]bool) string {\n    return fmt.Sprintf(\"%v|%v|%v\", filter, *groupBy, reqFields)\n}\n```\n\n**`internal/graph/schema.resolvers.go`**:\n\nChange the cache call from:\n```go\nkey := statsCacheKey(filter, groupBy)\nallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n    return r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil)\n})\n```\nTo:\n```go\nkey := statsCacheKey(filter, groupBy, reqFields)\nallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n    return r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)\n})\n```\n\n## Why This Works\n\n- The project list query never requests `totalUsers` → `COUNT(DISTINCT hpc_user)` is skipped → fast query\n- The user list query also never requests `totalUsers` → same benefit (marginal since the user `COUNT(DISTINCT)` is trivial)\n- The status page requests `totalUsers` → `COUNT(DISTINCT hpc_user)` is computed → no regression\n- Cache deduplication still works: if two aliases in the same request have the same filter+groupBy+reqFields, they share the cached result\n\n## Critical Files\n\n- `internal/graph/schema.resolvers.go` — cache invocation (lines ~678–688)\n- `internal/graph/stats_cache.go` — `statsCacheKey` function (line 57–59)\n- `internal/repository/stats.go` — `buildStatsQuery` (lines 136–229, `need()` helper)\n\n## Verification\n\n1. Build: `go build ./...`\n2. Test: `go test ./internal/repository/... ./internal/graph/...`\n3. Start server: `./cc-backend -server -dev -loglevel debug`\n4. Load `/monitoring/projects/?cluster=alex&startTime=last30d` — check that it loads at similar speed to `/monitoring/users/`\n5. Check backend logs for `Timer JobsStatsGrouped call:` — project query should now be much faster\n6. Verify `/monitoring/status/` still shows correct `Active Users` counts per subcluster\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/258fc5cb-f8b6-4d74-92a9-df4954615c17.jsonl"},"uuid":"7c9c06ad-3241-4b89-b282-79d680032f38","timestamp":"2026-03-19T09:59:11.864Z","planContent":"# Plan: Fix Slow Project Stats Query\n\n## Context\n\nThe `/monitoring/projects/` page is significantly slower than `/monitoring/users/` despite using the same code path (`List.root.svelte`, same GraphQL query, same SQL structure). Both call `JobsStatsGrouped` via the `jobsStatistics` resolver.\n\n## Root Cause\n\n`WithStatsGroupCache` is injected into **every** GraphQL request context via `AroundOperations` in `cmd/cc-backend/server.go:96`. This means the cache path in the resolver is **always** taken for grouped stats queries.\n\nThe cache path calls:\n```go\nreturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil)\n```\nwith `nil` for `reqFields`, which forces **all** SQL columns to be computed — including:\n```sql\nCOUNT(DISTINCT job.hpc_user) AS totalUsers\n```\n\nThis is the performance bottleneck:\n\n- **User grouping** (`GROUP BY hpc_user`): Each group has exactly 1 distinct `hpc_user` value → `COUNT(DISTINCT)` = trivially 1 per group → fast\n- **Project grouping** (`GROUP BY project`): Each project can have 10s–100s of distinct users across thousands of jobs → SQLite must maintain a hash set per group → expensive\n\nThe `List.root.svelte` frontend query does **not** request `totalUsers` for either page. It only requests: `id, name, totalJobs, shortJobs, totalWalltime, totalCoreHours, totalAccHours`. So `COUNT(DISTINCT hpc_user)` is computed for no reason, but is only costly for project grouping.\n\n**Why user page is fast**: `COUNT(DISTINCT hpc_user)` when grouping by `hpc_user` is trivially 1 per group — effectively O(1) per group.\n\n**Why project page is slow**: `COUNT(DISTINCT hpc_user)` when grouping by `project` requires deduplicating all users across potentially thousands of jobs per project.\n\n## What the Status Page Needs\n\n`StatusDash.svelte` requests `totalUsers` for `groupBy: SUBCLUSTER` — so `COUNT(DISTINCT hpc_user)` IS needed there. The fix must not break this.\n\n## Fix\n\nChange the cache path to pass the actual `reqFields` (derived from the GraphQL selection set) instead of `nil`, and include `reqFields` in the cache key so that identical requests still share cached results.\n\n### Files to Modify\n\n1. **`internal/graph/schema.resolvers.go`** (line ~678–688)\n   - Pass `reqFields` instead of `nil` to `JobsStatsGrouped` in the cache path\n\n2. **`internal/graph/stats_cache.go`** (function `statsCacheKey`)\n   - Include reqFields in the cache key so caching still deduplicates identical requests\n\n### Changes\n\n**`internal/graph/stats_cache.go`**:\n\nUpdate `statsCacheKey` to accept and include reqFields:\n```go\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate, reqFields map[string]bool) string {\n    return fmt.Sprintf(\"%v|%v|%v\", filter, *groupBy, reqFields)\n}\n```\n\n**`internal/graph/schema.resolvers.go`**:\n\nChange the cache call from:\n```go\nkey := statsCacheKey(filter, groupBy)\nallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n    return r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil)\n})\n```\nTo:\n```go\nkey := statsCacheKey(filter, groupBy, reqFields)\nallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n    return r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)\n})\n```\n\n## Why This Works\n\n- The project list query never requests `totalUsers` → `COUNT(DISTINCT hpc_user)` is skipped → fast query\n- The user list query also never requests `totalUsers` → same benefit (marginal since the user `COUNT(DISTINCT)` is trivial)\n- The status page requests `totalUsers` → `COUNT(DISTINCT hpc_user)` is computed → no regression\n- Cache deduplication still works: if two aliases in the same request have the same filter+groupBy+reqFields, they share the cached result\n\n## Critical Files\n\n- `internal/graph/schema.resolvers.go` — cache invocation (lines ~678–688)\n- `internal/graph/stats_cache.go` — `statsCacheKey` function (line 57–59)\n- `internal/repository/stats.go` — `buildStatsQuery` (lines 136–229, `need()` helper)\n\n## Verification\n\n1. Build: `go build ./...`\n2. Test: `go test ./internal/repository/... ./internal/graph/...`\n3. Start server: `./cc-backend -server -dev -loglevel debug`\n4. Load `/monitoring/projects/?cluster=alex&startTime=last30d` — check that it loads at similar speed to `/monitoring/users/`\n5. Check backend logs for `Timer JobsStatsGrouped call:` — project query should now be much faster\n6. Verify `/monitoring/status/` still shows correct `Active Users` counts per subcluster\n","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package graph\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"fmt\"\n    11→\t\"slices\"\n    12→\t\"sync\"\n    13→\n    14→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    15→)\n    16→\n    17→// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n    18→// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n    19→// frontend requests multiple sort/page slices of the same underlying data\n    20→// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\n    21→type statsGroupCache struct {\n    22→\tmu      sync.Mutex\n    23→\tentries map[string]*cacheEntry\n    24→}\n    25→\n    26→type cacheEntry struct {\n    27→\tonce   sync.Once\n    28→\tresult []*model.JobsStatistics\n    29→\terr    error\n    30→}\n    31→\n    32→type ctxKey int\n    33→\n    34→const statsGroupCacheKey ctxKey = iota\n    35→\n    36→// newStatsGroupCache creates a new empty cache.\n    37→func newStatsGroupCache() *statsGroupCache {\n    38→\treturn &statsGroupCache{\n    39→\t\tentries: make(map[string]*cacheEntry),\n    40→\t}\n    41→}\n    42→\n    43→// WithStatsGroupCache injects a new cache into the context.\n    44→func WithStatsGroupCache(ctx context.Context) context.Context {\n    45→\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n    46→}\n    47→\n    48→// getStatsGroupCache retrieves the cache from context, or nil if absent.\n    49→func getStatsGroupCache(ctx context.Context) *statsGroupCache {\n    50→\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n    51→\t\treturn c\n    52→\t}\n    53→\treturn nil\n    54→}\n    55→\n    56→// cacheKey builds a deterministic string key from filter + groupBy.\n    57→func statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n    58→\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n    59→}\n    60→\n    61→// getOrCompute returns cached results for the given key, computing them on\n    62→// first access via the provided function.\n    63→func (c *statsGroupCache) getOrCompute(\n    64→\tkey string,\n    65→\tcompute func() ([]*model.JobsStatistics, error),\n    66→) ([]*model.JobsStatistics, error) {\n    67→\tc.mu.Lock()\n    68→\tentry, ok := c.entries[key]\n    69→\tif !ok {\n    70→\t\tentry = &cacheEntry{}\n    71→\t\tc.entries[key] = entry\n    72→\t}\n    73→\tc.mu.Unlock()\n    74→\n    75→\tentry.once.Do(func() {\n    76→\t\tentry.result, entry.err = compute()\n    77→\t})\n    78→\treturn entry.result, entry.err\n    79→}\n    80→\n    81→// sortAndPageStats sorts a copy of allStats by the given sortBy field (descending)\n    82→// and returns the requested page slice.\n    83→func sortAndPageStats(allStats []*model.JobsStatistics, sortBy *model.SortByAggregate, page *model.PageRequest) []*model.JobsStatistics {\n    84→\t// Work on a shallow copy so the cached slice order is not mutated.\n    85→\tsorted := make([]*model.JobsStatistics, len(allStats))\n    86→\tcopy(sorted, allStats)\n    87→\n    88→\tif sortBy != nil {\n    89→\t\tgetter := statsFieldGetter(*sortBy)\n    90→\t\tslices.SortFunc(sorted, func(a, b *model.JobsStatistics) int {\n    91→\t\t\treturn getter(b) - getter(a) // descending\n    92→\t\t})\n    93→\t}\n    94→\n    95→\tif page != nil && page.ItemsPerPage != -1 {\n    96→\t\tstart := (page.Page - 1) * page.ItemsPerPage\n    97→\t\tif start >= len(sorted) {\n    98→\t\t\treturn nil\n    99→\t\t}\n   100→\t\tend := start + page.ItemsPerPage\n   101→\t\tif end > len(sorted) {\n   102→\t\t\tend = len(sorted)\n   103→\t\t}\n   104→\t\tsorted = sorted[start:end]\n   105→\t}\n   106→\n   107→\treturn sorted\n   108→}\n   109→\n   110→// statsFieldGetter returns a function that extracts the sortable int field\n   111→// from a JobsStatistics struct for the given sort key.\n   112→func statsFieldGetter(sortBy model.SortByAggregate) func(*model.JobsStatistics) int {\n   113→\tswitch sortBy {\n   114→\tcase model.SortByAggregateTotaljobs:\n   115→\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n   116→\tcase model.SortByAggregateTotalusers:\n   117→\t\treturn func(s *model.JobsStatistics) int { return s.TotalUsers }\n   118→\tcase model.SortByAggregateTotalwalltime:\n   119→\t\treturn func(s *model.JobsStatistics) int { return s.TotalWalltime }\n   120→\tcase model.SortByAggregateTotalnodes:\n   121→\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodes }\n   122→\tcase model.SortByAggregateTotalnodehours:\n   123→\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodeHours }\n   124→\tcase model.SortByAggregateTotalcores:\n   125→\t\treturn func(s *model.JobsStatistics) int { return s.TotalCores }\n   126→\tcase model.SortByAggregateTotalcorehours:\n   127→\t\treturn func(s *model.JobsStatistics) int { return s.TotalCoreHours }\n   128→\tcase model.SortByAggregateTotalaccs:\n   129→\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccs }\n   130→\tcase model.SortByAggregateTotalacchours:\n   131→\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccHours }\n   132→\tdefault:\n   133→\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n   134→\t}\n   135→}\n   136→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"9475e67e-a98a-4423-af71-22ef9c81c75a","timestamp":"2026-03-19T09:59:18.312Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage graph\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)\n\n// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n// frontend requests multiple sort/page slices of the same underlying data\n// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\ntype statsGroupCache struct {\n\tmu      sync.Mutex\n\tentries map[string]*cacheEntry\n}\n\ntype cacheEntry struct {\n\tonce   sync.Once\n\tresult []*model.JobsStatistics\n\terr    error\n}\n\ntype ctxKey int\n\nconst statsGroupCacheKey ctxKey = iota\n\n// newStatsGroupCache creates a new empty cache.\nfunc newStatsGroupCache() *statsGroupCache {\n\treturn &statsGroupCache{\n\t\tentries: make(map[string]*cacheEntry),\n\t}\n}\n\n// WithStatsGroupCache injects a new cache into the context.\nfunc WithStatsGroupCache(ctx context.Context) context.Context {\n\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n}\n\n// getStatsGroupCache retrieves the cache from context, or nil if absent.\nfunc getStatsGroupCache(ctx context.Context) *statsGroupCache {\n\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n\t\treturn c\n\t}\n\treturn nil\n}\n\n// cacheKey builds a deterministic string key from filter + groupBy.\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n}\n\n// getOrCompute returns cached results for the given key, computing them on\n// first access via the provided function.\nfunc (c *statsGroupCache) getOrCompute(\n\tkey string,\n\tcompute func() ([]*model.JobsStatistics, error),\n) ([]*model.JobsStatistics, error) {\n\tc.mu.Lock()\n\tentry, ok := c.entries[key]\n\tif !ok {\n\t\tentry = &cacheEntry{}\n\t\tc.entries[key] = entry\n\t}\n\tc.mu.Unlock()\n\n\tentry.once.Do(func() {\n\t\tentry.result, entry.err = compute()\n\t})\n\treturn entry.result, entry.err\n}\n\n// sortAndPageStats sorts a copy of allStats by the given sortBy field (descending)\n// and returns the requested page slice.\nfunc sortAndPageStats(allStats []*model.JobsStatistics, sortBy *model.SortByAggregate, page *model.PageRequest) []*model.JobsStatistics {\n\t// Work on a shallow copy so the cached slice order is not mutated.\n\tsorted := make([]*model.JobsStatistics, len(allStats))\n\tcopy(sorted, allStats)\n\n\tif sortBy != nil {\n\t\tgetter := statsFieldGetter(*sortBy)\n\t\tslices.SortFunc(sorted, func(a, b *model.JobsStatistics) int {\n\t\t\treturn getter(b) - getter(a) // descending\n\t\t})\n\t}\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tif start >= len(sorted) {\n\t\t\treturn nil\n\t\t}\n\t\tend := start + page.ItemsPerPage\n\t\tif end > len(sorted) {\n\t\t\tend = len(sorted)\n\t\t}\n\t\tsorted = sorted[start:end]\n\t}\n\n\treturn sorted\n}\n\n// statsFieldGetter returns a function that extracts the sortable int field\n// from a JobsStatistics struct for the given sort key.\nfunc statsFieldGetter(sortBy model.SortByAggregate) func(*model.JobsStatistics) int {\n\tswitch sortBy {\n\tcase model.SortByAggregateTotaljobs:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n\tcase model.SortByAggregateTotalusers:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalUsers }\n\tcase model.SortByAggregateTotalwalltime:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalWalltime }\n\tcase model.SortByAggregateTotalnodes:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodes }\n\tcase model.SortByAggregateTotalnodehours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodeHours }\n\tcase model.SortByAggregateTotalcores:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalCores }\n\tcase model.SortByAggregateTotalcorehours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalCoreHours }\n\tcase model.SortByAggregateTotalaccs:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccs }\n\tcase model.SortByAggregateTotalacchours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccHours }\n\tdefault:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n\t}\n}\n","numLines":136,"startLine":1,"totalLines":136}},"sourceToolAssistantUUID":"81616078-7330-4b2d-9627-fe2dcf64e012","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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+{"parentUuid":"ba3c1e59-d9fc-4519-8619-0e8788e3e950","isSidechain":false,"promptId":"4fcd0306-e2ee-4526-a0bf-c87699d19405","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013Z6dq7upBG8GLSTr5Z7pKJ","type":"tool_result","content":"   670→\n   671→\tif fetchedMainStats {\n   672→\t\tif groupBy == nil {\n   673→\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n   674→\t\t} else {\n   675→\t\t\tstartGrouped := time.Now()\n   676→\t\t\t// Use request-scoped cache: multiple aliases with same (filter, groupBy)\n   677→\t\t\t// but different sortBy/page hit the DB only once.\n   678→\t\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n   679→\t\t\t\tkey := statsCacheKey(filter, groupBy)\n   680→\t\t\t\tvar allStats []*model.JobsStatistics\n   681→\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n   682→\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil)\n   683→\t\t\t\t})\n   684→\t\t\t\tif err == nil {\n   685→\t\t\t\t\tstats = sortAndPageStats(allStats, sortBy, page)\n   686→\t\t\t\t}\n   687→\t\t\t} else {\n   688→\t\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n   689→\t\t\t}\n   690→\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n   691→\t\t}\n   692→\t} else {\n   693→\t\tstats = make([]*model.JobsStatistics, 0, 1)\n   694→\t\tstats = append(stats, &model.JobsStatistics{})\n   695→\t}\n   696→\n   697→\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n   698→\t// Only run separate count queries if main stats were not fetched.\n   699→\tif !fetchedMainStats {\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"4aacd2cd-eb79-4def-aaf8-3015eea66a5b","timestamp":"2026-03-19T09:59:18.711Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","content":"\n\tif fetchedMainStats {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n\t\t} else {\n\t\t\tstartGrouped := time.Now()\n\t\t\t// Use request-scoped cache: multiple aliases with same (filter, groupBy)\n\t\t\t// but different sortBy/page hit the DB only once.\n\t\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n\t\t\t\tkey := statsCacheKey(filter, groupBy)\n\t\t\t\tvar allStats []*model.JobsStatistics\n\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil)\n\t\t\t\t})\n\t\t\t\tif err == nil {\n\t\t\t\t\tstats = sortAndPageStats(allStats, sortBy, page)\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\t}\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {\n\t\tstats = make([]*model.JobsStatistics, 0, 1)\n\t\tstats = append(stats, &model.JobsStatistics{})\n\t}\n\n\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n\t// Only run separate count queries if main stats were not fetched.\n\tif !fetchedMainStats {","numLines":30,"startLine":670,"totalLines":1075}},"sourceToolAssistantUUID":"ba3c1e59-d9fc-4519-8619-0e8788e3e950","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage graph\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)\n\n// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n// frontend requests multiple sort/page slices of the same underlying data\n// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\ntype statsGroupCache struct {\n\tmu      sync.Mutex\n\tentries map[string]*cacheEntry\n}\n\ntype cacheEntry struct {\n\tonce   sync.Once\n\tresult []*model.JobsStatistics\n\terr    error\n}\n\ntype ctxKey int\n\nconst statsGroupCacheKey ctxKey = iota\n\n// newStatsGroupCache creates a new empty cache.\nfunc newStatsGroupCache() *statsGroupCache {\n\treturn &statsGroupCache{\n\t\tentries: make(map[string]*cacheEntry),\n\t}\n}\n\n// WithStatsGroupCache injects a new cache into the context.\nfunc WithStatsGroupCache(ctx context.Context) context.Context {\n\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n}\n\n// getStatsGroupCache retrieves the cache from context, or nil if absent.\nfunc getStatsGroupCache(ctx context.Context) *statsGroupCache {\n\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n\t\treturn c\n\t}\n\treturn nil\n}\n\n// cacheKey builds a deterministic string key from filter + groupBy.\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n}\n\n// getOrCompute returns cached results for the given key, computing them on\n// first access via the provided function.\nfunc (c *statsGroupCache) getOrCompute(\n\tkey string,\n\tcompute func() ([]*model.JobsStatistics, error),\n) ([]*model.JobsStatistics, error) {\n\tc.mu.Lock()\n\tentry, ok := c.entries[key]\n\tif !ok {\n\t\tentry = &cacheEntry{}\n\t\tc.entries[key] = entry\n\t}\n\tc.mu.Unlock()\n\n\tentry.once.Do(func() {\n\t\tentry.result, entry.err = compute()\n\t})\n\treturn entry.result, entry.err\n}\n\n// sortAndPageStats sorts a copy of allStats by the given sortBy field (descending)\n// and returns the requested page slice.\nfunc sortAndPageStats(allStats []*model.JobsStatistics, sortBy *model.SortByAggregate, page *model.PageRequest) []*model.JobsStatistics {\n\t// Work on a shallow copy so the cached slice order is not mutated.\n\tsorted := make([]*model.JobsStatistics, len(allStats))\n\tcopy(sorted, allStats)\n\n\tif sortBy != nil {\n\t\tgetter := statsFieldGetter(*sortBy)\n\t\tslices.SortFunc(sorted, func(a, b *model.JobsStatistics) int {\n\t\t\treturn getter(b) - getter(a) // descending\n\t\t})\n\t}\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tif start >= len(sorted) {\n\t\t\treturn nil\n\t\t}\n\t\tend := start + page.ItemsPerPage\n\t\tif end > len(sorted) {\n\t\t\tend = len(sorted)\n\t\t}\n\t\tsorted = sorted[start:end]\n\t}\n\n\treturn sorted\n}\n\n// statsFieldGetter returns a function that extracts the sortable int field\n// from a JobsStatistics struct for the given sort key.\nfunc statsFieldGetter(sortBy model.SortByAggregate) func(*model.JobsStatistics) int {\n\tswitch sortBy {\n\tcase model.SortByAggregateTotaljobs:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n\tcase model.SortByAggregateTotalusers:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalUsers }\n\tcase model.SortByAggregateTotalwalltime:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalWalltime }\n\tcase model.SortByAggregateTotalnodes:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodes }\n\tcase model.SortByAggregateTotalnodehours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodeHours }\n\tcase model.SortByAggregateTotalcores:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalCores }\n\tcase model.SortByAggregateTotalcorehours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalCoreHours }\n\tcase model.SortByAggregateTotalaccs:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccs }\n\tcase model.SortByAggregateTotalacchours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccHours }\n\tdefault:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n\t}\n}\n","structuredPatch":[{"oldStart":53,"oldLines":9,"newStart":53,"newLines":9,"lines":["   return nil"," }"," ","-// cacheKey builds a deterministic string key from filter + groupBy.","-func statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {","-  return fmt.Sprintf(\"%v|%v\", filter, *groupBy)","+// cacheKey builds a deterministic string key from filter + groupBy + reqFields.","+func statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate, reqFields map[string]bool) string {","+  return fmt.Sprintf(\"%v|%v|%v\", filter, *groupBy, reqFields)"," }"," "," // getOrCompute returns cached results for the given key, computing them on"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"be8ca8a3-73dc-4799-9a6b-6c0e6df79385","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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+{"parentUuid":"34428c1b-a455-45e5-b389-32f4e44de37d","isSidechain":false,"promptId":"4fcd0306-e2ee-4526-a0bf-c87699d19405","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01R4Rd6cPw28VjU1k6SVUHsJ","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go has been updated successfully."}]},"uuid":"96c57c31-74df-4ab3-af2d-58847abf6e2f","timestamp":"2026-03-19T09:59:33.739Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","oldString":"\t\t\tkey := statsCacheKey(filter, groupBy)\n\t\t\t\tvar allStats []*model.JobsStatistics\n\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil)\n\t\t\t\t})","newString":"\t\t\tkey := statsCacheKey(filter, groupBy, reqFields)\n\t\t\t\tvar allStats []*model.JobsStatistics\n\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)\n\t\t\t\t})","originalFile":"package graph\n\n// This file will be automatically regenerated based on the schema, any resolver\n// implementations\n// will be copied through when generating and any unknown code will be moved to the end.\n// Code generated by github.com/99designs/gqlgen version v0.17.88\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"math\"\n\t\"regexp\"\n\t\"slices\"\n\t\"strconv\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tccunit \"github.com/ClusterCockpit/cc-lib/v2/ccUnits\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Partitions is the resolver for the partitions field.\nfunc (r *clusterResolver) Partitions(ctx context.Context, obj *schema.Cluster) ([]string, error) {\n\treturn r.Repo.Partitions(obj.Name)\n}\n\n// StartTime is the resolver for the startTime field.\nfunc (r *jobResolver) StartTime(ctx context.Context, obj *schema.Job) (*time.Time, error) {\n\ttimestamp := time.Unix(obj.StartTime, 0)\n\treturn &timestamp, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *jobResolver) Tags(ctx context.Context, obj *schema.Job) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), obj.ID)\n}\n\n// ConcurrentJobs is the resolver for the concurrentJobs field.\nfunc (r *jobResolver) ConcurrentJobs(ctx context.Context, obj *schema.Job) (*model.JobLinkResultList, error) {\n\t// FIXME: Make the hardcoded duration configurable\n\tif obj.Shared != \"none\" && obj.Duration > 600 {\n\t\treturn r.Repo.FindConcurrentJobs(ctx, obj)\n\t}\n\n\treturn nil, nil\n}\n\n// Footprint is the resolver for the footprint field.\nfunc (r *jobResolver) Footprint(ctx context.Context, obj *schema.Job) ([]*model.FootprintValue, error) {\n\trawFootprint, err := r.Repo.FetchFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.FootprintValue{}\n\tfor name, value := range rawFootprint {\n\n\t\tparts := strings.Split(name, \"_\")\n\t\tstatPart := parts[len(parts)-1]\n\t\tnameParts := parts[:len(parts)-1]\n\n\t\tres = append(res, &model.FootprintValue{\n\t\t\tName:  strings.Join(nameParts, \"_\"),\n\t\t\tStat:  statPart,\n\t\t\tValue: value,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// EnergyFootprint is the resolver for the energyFootprint field.\nfunc (r *jobResolver) EnergyFootprint(ctx context.Context, obj *schema.Job) ([]*model.EnergyFootprintValue, error) {\n\trawEnergyFootprint, err := r.Repo.FetchEnergyFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job energy footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.EnergyFootprintValue{}\n\tfor name, value := range rawEnergyFootprint {\n\t\t// Suboptimal: Nearly hardcoded metric name expectations\n\t\tmatchCPU := regexp.MustCompile(`cpu|Cpu|CPU`)\n\t\tmatchAcc := regexp.MustCompile(`acc|Acc|ACC`)\n\t\tmatchMem := regexp.MustCompile(`mem|Mem|MEM`)\n\t\tmatchCore := regexp.MustCompile(`core|Core|CORE`)\n\n\t\thwType := \"\"\n\t\tswitch test := name; { // NOtice ';' for var declaration\n\t\tcase matchCPU.MatchString(test):\n\t\t\thwType = \"CPU\"\n\t\tcase matchAcc.MatchString(test):\n\t\t\thwType = \"Accelerator\"\n\t\tcase matchMem.MatchString(test):\n\t\t\thwType = \"Memory\"\n\t\tcase matchCore.MatchString(test):\n\t\t\thwType = \"Core\"\n\t\tdefault:\n\t\t\thwType = \"Other\"\n\t\t}\n\n\t\tres = append(res, &model.EnergyFootprintValue{\n\t\t\tHardware: hwType,\n\t\t\tMetric:   name,\n\t\t\tValue:    value,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *jobResolver) MetaData(ctx context.Context, obj *schema.Job) (any, error) {\n\treturn r.Repo.FetchMetadata(obj)\n}\n\n// UserData is the resolver for the userData field.\nfunc (r *jobResolver) UserData(ctx context.Context, obj *schema.Job) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, obj.User)\n}\n\n// Name is the resolver for the name field.\nfunc (r *metricValueResolver) Name(ctx context.Context, obj *schema.MetricValue) (*string, error) {\n\tpanic(fmt.Errorf(\"not implemented: Name - name\"))\n}\n\n// CreateTag is the resolver for the createTag field.\nfunc (r *mutationResolver) CreateTag(ctx context.Context, typeArg string, name string, scope string) (*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\tif user.HasRole(schema.RoleAdmin) && scope == \"admin\" ||\n\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && scope == \"global\" ||\n\t\tuser.Username == scope {\n\t\t// Create in DB\n\t\tid, err := r.Repo.CreateTag(typeArg, name, scope)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while creating tag\")\n\t\t\treturn nil, err\n\t\t}\n\t\treturn &schema.Tag{ID: id, Type: typeArg, Name: name, Scope: scope}, nil\n\t} else {\n\t\tcclog.Warnf(\"Not authorized to create tag with scope: %s\", scope)\n\t\treturn nil, fmt.Errorf(\"not authorized to create tag with scope: %s\", scope)\n\t}\n}\n\n// DeleteTag is the resolver for the deleteTag field.\nfunc (r *mutationResolver) DeleteTag(ctx context.Context, id string) (string, error) {\n\t// This Uses ID string <-> ID string, removeTagFromList uses []string <-> []int\n\tpanic(fmt.Errorf(\"not implemented: DeleteTag - deleteTag\"))\n}\n\n// AddTagsToJob is the resolver for the addTagsToJob field.\nfunc (r *mutationResolver) AddTagsToJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while adding tag to job\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Add to Job\n\t\t\tif tags, err = r.Repo.AddTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while adding tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to add tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to add tag: %d\", tid)\n\t\t}\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagsFromJob is the resolver for the removeTagsFromJob field.\nfunc (r *mutationResolver) RemoveTagsFromJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Remove from Job\n\t\t\tif tags, err = r.Repo.RemoveTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagFromList is the resolver for the removeTagFromList field.\nfunc (r *mutationResolver) RemoveTagFromList(ctx context.Context, tagIds []string) ([]int, error) {\n\t// Needs Contextuser\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\ttags := []int{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id for removal\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && (tscope == \"global\" || tscope == \"admin\") || user.Username == tscope {\n\t\t\t// Remove from DB\n\t\t\tif err = r.Repo.RemoveTagByID(tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t} else {\n\t\t\t\ttags = append(tags, int(tid))\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\t}\n\treturn tags, nil\n}\n\n// UpdateConfiguration is the resolver for the updateConfiguration field.\nfunc (r *mutationResolver) UpdateConfiguration(ctx context.Context, name string, value string) (*string, error) {\n\tif err := repository.GetUserCfgRepo().UpdateConfig(name, value, repository.GetUserFromContext(ctx)); err != nil {\n\t\tcclog.Warn(\"Error while updating user config\")\n\t\treturn nil, err\n\t}\n\n\treturn nil, nil\n}\n\n// ID is the resolver for the id field.\nfunc (r *nodeResolver) ID(ctx context.Context, obj *schema.Node) (string, error) {\n\tpanic(fmt.Errorf(\"not implemented: ID - id\"))\n}\n\n// SchedulerState is the resolver for the schedulerState field.\nfunc (r *nodeResolver) SchedulerState(ctx context.Context, obj *schema.Node) (schema.SchedulerState, error) {\n\tif obj.NodeState != \"\" {\n\t\treturn obj.NodeState, nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no SchedulerState (NodeState) on node object\")\n\t}\n}\n\n// HealthState is the resolver for the healthState field.\nfunc (r *nodeResolver) HealthState(ctx context.Context, obj *schema.Node) (string, error) {\n\tif obj.HealthState != \"\" {\n\t\treturn string(obj.HealthState), nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no HealthState (NodeState) on node object\")\n\t}\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *nodeResolver) MetaData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.MetaData != nil {\n\t\treturn obj.MetaData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no MetaData (NodeState) on node object\")\n\t\temptyMeta := make(map[string]string, 0)\n\t\treturn emptyMeta, nil\n\t}\n}\n\n// HealthData is the resolver for the healthData field.\nfunc (r *nodeResolver) HealthData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.HealthData != nil {\n\t\treturn obj.HealthData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no HealthData (NodeState) on node object\")\n\t\temptyHealth := make(map[string][]string, 0)\n\t\treturn emptyHealth, nil\n\t}\n}\n\n// Clusters is the resolver for the clusters field.\nfunc (r *queryResolver) Clusters(ctx context.Context) ([]*schema.Cluster, error) {\n\treturn archive.Clusters, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *queryResolver) Tags(ctx context.Context) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), nil)\n}\n\n// GlobalMetrics is the resolver for the globalMetrics field.\nfunc (r *queryResolver) GlobalMetrics(ctx context.Context) ([]*schema.GlobalMetricListItem, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\n\tif user != nil {\n\t\tif user.HasRole(schema.RoleUser) || user.HasRole(schema.RoleManager) {\n\t\t\treturn archive.GlobalUserMetricList, nil\n\t\t}\n\t}\n\n\treturn archive.GlobalMetricList, nil\n}\n\n// User is the resolver for the user field.\nfunc (r *queryResolver) User(ctx context.Context, username string) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, username)\n}\n\n// AllocatedNodes is the resolver for the allocatedNodes field.\nfunc (r *queryResolver) AllocatedNodes(ctx context.Context, cluster string) ([]*model.Count, error) {\n\tdata, err := r.Repo.AllocatedNodes(cluster)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching allocated nodes\")\n\t\treturn nil, err\n\t}\n\n\tcounts := make([]*model.Count, 0, len(data))\n\tfor subcluster, hosts := range data {\n\t\tcounts = append(counts, &model.Count{\n\t\t\tName:  subcluster,\n\t\t\tCount: len(hosts),\n\t\t})\n\t}\n\n\treturn counts, nil\n}\n\n// Node is the resolver for the node field.\nfunc (r *queryResolver) Node(ctx context.Context, id string) (*schema.Node, error) {\n\trepo := repository.GetNodeRepository()\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\treturn repo.GetNodeByID(numericID, false)\n}\n\n// Nodes is the resolver for the nodes field.\nfunc (r *queryResolver) Nodes(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodes(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodesWithMeta is the resolver for the nodesWithMeta field.\nfunc (r *queryResolver) NodesWithMeta(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\t// Why Extra Handler? -> graphql.CollectAllFields(ctx) only returns toplevel fields (i.e.: items, count), and not subfields like item.metaData\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodesWithMeta(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodeStates is the resolver for the nodeStates field.\nfunc (r *queryResolver) NodeStates(ctx context.Context, filter []*model.NodeFilter) ([]*model.NodeStates, error) {\n\trepo := repository.GetNodeRepository()\n\n\tstateCounts, serr := repo.CountStates(ctx, filter, \"node_state\")\n\tif serr != nil {\n\t\tcclog.Warnf(\"Error while counting nodeStates: %s\", serr.Error())\n\t\treturn nil, serr\n\t}\n\n\thealthCounts, herr := repo.CountStates(ctx, filter, \"health_state\")\n\tif herr != nil {\n\t\tcclog.Warnf(\"Error while counting healthStates: %s\", herr.Error())\n\t\treturn nil, herr\n\t}\n\n\tallCounts := append(stateCounts, healthCounts...)\n\n\treturn allCounts, nil\n}\n\n// NodeStatesTimed is the resolver for the nodeStatesTimed field.\nfunc (r *queryResolver) NodeStatesTimed(ctx context.Context, filter []*model.NodeFilter, typeArg string) ([]*model.NodeStatesTimed, error) {\n\trepo := repository.GetNodeRepository()\n\n\tif typeArg == \"node\" {\n\t\tstateCounts, serr := repo.CountStatesTimed(ctx, filter, \"node_state\")\n\t\tif serr != nil {\n\t\t\tcclog.Warnf(\"Error while counting nodeStates in time: %s\", serr.Error())\n\t\t\treturn nil, serr\n\t\t}\n\t\treturn stateCounts, nil\n\t}\n\n\tif typeArg == \"health\" {\n\t\thealthCounts, herr := repo.CountStatesTimed(ctx, filter, \"health_state\")\n\t\tif herr != nil {\n\t\t\tcclog.Warnf(\"Error while counting healthStates in time: %s\", herr.Error())\n\t\t\treturn nil, herr\n\t\t}\n\t\treturn healthCounts, nil\n\t}\n\n\treturn nil, errors.New(\"unknown Node State Query Type\")\n}\n\n// Job is the resolver for the job field.\nfunc (r *queryResolver) Job(ctx context.Context, id string) (*schema.Job, error) {\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\tjob, err := r.Repo.FindByID(ctx, numericID)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while finding job by id\")\n\t\treturn nil, err\n\t}\n\n\tif user := repository.GetUserFromContext(ctx); user != nil &&\n\t\tjob.User != user.Username &&\n\t\tuser.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"you are not allowed to see this job\")\n\t}\n\n\treturn job, nil\n}\n\n// JobMetrics is the resolver for the jobMetrics field.\nfunc (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int) ([]*model.JobMetricWithName, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying job for metrics\")\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobMetricWithName{}\n\tfor name, md := range data {\n\t\tfor scope, metric := range md {\n\t\t\tres = append(res, &model.JobMetricWithName{\n\t\t\t\tName:   name,\n\t\t\t\tScope:  scope,\n\t\t\t\tMetric: metric,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, err\n}\n\n// JobStats is the resolver for the jobStats field.\nfunc (r *queryResolver) JobStats(ctx context.Context, id string, metrics []string) ([]*model.NamedStats, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading jobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := []*model.NamedStats{}\n\tfor name, md := range data {\n\t\tres = append(res, &model.NamedStats{\n\t\t\tName: name,\n\t\t\tData: &md,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// ScopedJobStats is the resolver for the scopedJobStats field.\nfunc (r *queryResolver) ScopedJobStats(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope) ([]*model.NamedStatsWithScope, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadScopedJobStats(job, metrics, scopes, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading scopedJobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := make([]*model.NamedStatsWithScope, 0)\n\tfor name, scoped := range data {\n\t\tfor scope, stats := range scoped {\n\n\t\t\tmdlStats := make([]*model.ScopedStats, 0)\n\t\t\tfor _, stat := range stats {\n\t\t\t\tmdlStats = append(mdlStats, &model.ScopedStats{\n\t\t\t\t\tHostname: stat.Hostname,\n\t\t\t\t\tID:       stat.ID,\n\t\t\t\t\tData:     stat.Data,\n\t\t\t\t})\n\t\t\t}\n\n\t\t\tres = append(res, &model.NamedStatsWithScope{\n\t\t\t\tName:  name,\n\t\t\t\tScope: scope,\n\t\t\t\tStats: mdlStats,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, nil\n}\n\n// Jobs is the resolver for the jobs field.\nfunc (r *queryResolver) Jobs(ctx context.Context, filter []*model.JobFilter, page *model.PageRequest, order *model.OrderByInput) (*model.JobResultList, error) {\n\tif page == nil {\n\t\tpage = &model.PageRequest{\n\t\t\tItemsPerPage: 50,\n\t\t\tPage:         1,\n\t\t}\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, page, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs\")\n\t\treturn nil, err\n\t}\n\n\tcount, err := r.Repo.CountJobs(ctx, filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while counting jobs\")\n\t\treturn nil, err\n\t}\n\n\t// Note: Even if App-Default 'config.Keys.UiDefaults[\"job_list_usePaging\"]' is set, always return hasNextPage boolean.\n\t// Users can decide in frontend to use continuous scroll, even if app-default is paging!\n\t// Skip if page.ItemsPerPage == -1 (\"Load All\" -> No Next Page required, Status Dashboards)\n\t/*\n\t  Example Page 4 @ 10 IpP : Does item 41 exist?\n\t  Minimal Page 41 @ 1 IpP : If len(result) is 1, Page 5 @ 10 IpP exists.\n\t*/\n\thasNextPage := false\n\tif page.ItemsPerPage != -1 {\n\t\tnextPage := &model.PageRequest{\n\t\t\tItemsPerPage: 1,\n\t\t\tPage:         ((page.Page * page.ItemsPerPage) + 1),\n\t\t}\n\t\tnextJobs, err := r.Repo.QueryJobs(ctx, filter, nextPage, order)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while querying next jobs\")\n\t\t\treturn nil, err\n\t\t}\n\t\thasNextPage = len(nextJobs) == 1\n\t}\n\n\treturn &model.JobResultList{Items: jobs, Count: &count, HasNextPage: &hasNextPage}, nil\n}\n\n// JobsStatistics is the resolver for the jobsStatistics field.\nfunc (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobFilter, metrics []string, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, numDurationBins *string, numMetricBins *int) ([]*model.JobsStatistics, error) {\n\tvar err error\n\tvar stats []*model.JobsStatistics\n\n\t// Top Level Defaults\n\tdefaultDurationBins := \"1h\"\n\tdefaultMetricBins := 10\n\n\t// Build requested fields map for selective column computation\n\tstatsFields := []string{\n\t\t\"totalJobs\", \"totalUsers\", \"totalWalltime\", \"totalNodes\", \"totalCores\",\n\t\t\"totalAccs\", \"totalNodeHours\", \"totalCoreHours\", \"totalAccHours\", \"runningJobs\", \"shortJobs\",\n\t}\n\treqFields := make(map[string]bool, len(statsFields))\n\tfetchedMainStats := false\n\tfor _, f := range statsFields {\n\t\tif requireField(ctx, f) {\n\t\t\treqFields[f] = true\n\t\t\tif f != \"runningJobs\" && f != \"shortJobs\" {\n\t\t\t\tfetchedMainStats = true\n\t\t\t}\n\t\t}\n\t}\n\n\tif fetchedMainStats {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n\t\t} else {\n\t\t\tstartGrouped := time.Now()\n\t\t\t// Use request-scoped cache: multiple aliases with same (filter, groupBy)\n\t\t\t// but different sortBy/page hit the DB only once.\n\t\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n\t\t\t\tkey := statsCacheKey(filter, groupBy)\n\t\t\t\tvar allStats []*model.JobsStatistics\n\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil)\n\t\t\t\t})\n\t\t\t\tif err == nil {\n\t\t\t\t\tstats = sortAndPageStats(allStats, sortBy, page)\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\t}\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {\n\t\tstats = make([]*model.JobsStatistics, 0, 1)\n\t\tstats = append(stats, &model.JobsStatistics{})\n\t}\n\n\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n\t// Only run separate count queries if main stats were not fetched.\n\tif !fetchedMainStats {\n\t\tif groupBy != nil {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n\t\t\t}\n\t\t} else {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n\t\t\t}\n\t\t}\n\t}\n\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif requireField(ctx, \"histDuration\") || requireField(ctx, \"histNumNodes\") || requireField(ctx, \"histNumCores\") || requireField(ctx, \"histNumAccs\") {\n\n\t\tif numDurationBins == nil {\n\t\t\tnumDurationBins = &defaultDurationBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddHistograms(ctx, filter, stats[0], numDurationBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\tif requireField(ctx, \"histMetrics\") {\n\n\t\tif numMetricBins == nil {\n\t\t\tnumMetricBins = &defaultMetricBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddMetricHistograms(ctx, filter, metrics, stats[0], numMetricBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"metric histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// JobsMetricStats is the resolver for the jobsMetricStats field.\nfunc (r *queryResolver) JobsMetricStats(ctx context.Context, filter []*model.JobFilter, metrics []string) ([]*model.JobStats, error) {\n\t// No Paging, Fixed Order by StartTime ASC\n\torder := &model.OrderByInput{\n\t\tField: \"startTime\",\n\t\tType:  \"col\",\n\t\tOrder: \"ASC\",\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, nil, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs for comparison\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobStats{}\n\tfor _, job := range jobs {\n\t\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading comparison jobStats data for job id %d\", job.JobID)\n\t\t\tcontinue\n\t\t\t// return nil, err\n\t\t}\n\n\t\tsres := []*model.NamedStats{}\n\t\tfor name, md := range data {\n\t\t\tsres = append(sres, &model.NamedStats{\n\t\t\t\tName: name,\n\t\t\t\tData: &md,\n\t\t\t})\n\t\t}\n\n\t\tnumThreadsInt := int(job.NumHWThreads)\n\t\tnumAccsInt := int(job.NumAcc)\n\t\tres = append(res, &model.JobStats{\n\t\t\tID:              int(*job.ID),\n\t\t\tJobID:           strconv.Itoa(int(job.JobID)),\n\t\t\tStartTime:       int(job.StartTime),\n\t\t\tDuration:        int(job.Duration),\n\t\t\tCluster:         job.Cluster,\n\t\t\tSubCluster:      job.SubCluster,\n\t\t\tNumNodes:        int(job.NumNodes),\n\t\t\tNumHWThreads:    &numThreadsInt,\n\t\t\tNumAccelerators: &numAccsInt,\n\t\t\tStats:           sres,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// JobsFootprints is the resolver for the jobsFootprints field.\nfunc (r *queryResolver) JobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n\t// NOTE: Legacy Naming! This resolver is for normalized histograms in analysis view only - *Not* related to DB \"footprint\" column!\n\treturn r.jobsFootprints(ctx, filter, metrics)\n}\n\n// RooflineHeatmap is the resolver for the rooflineHeatmap field.\nfunc (r *queryResolver) RooflineHeatmap(ctx context.Context, filter []*model.JobFilter, rows int, cols int, minX float64, minY float64, maxX float64, maxY float64) ([][]float64, error) {\n\treturn r.rooflineHeatmap(ctx, filter, rows, cols, minX, minY, maxX, maxY)\n}\n\n// NodeMetrics is the resolver for the nodeMetrics field.\nfunc (r *queryResolver) NodeMetrics(ctx context.Context, cluster string, nodes []string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time) ([]*model.NodeMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tdefaultMetrics := make([]string, 0)\n\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\tdefaultMetrics = append(defaultMetrics, mc.Name)\n\t}\n\tif metrics == nil {\n\t\tmetrics = defaultMetrics\n\t} else {\n\t\tmetrics = slices.DeleteFunc(metrics, func(metric string) bool {\n\t\t\treturn !slices.Contains(defaultMetrics, metric) // Remove undefined metrics.\n\t\t})\n\t}\n\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\tstateMap, _ := nodeRepo.MapNodes(cluster)\n\n\tnodeMetrics := make([]*model.NodeMetrics, 0, len(data))\n\tfor hostname, metrics := range data {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost:    hostname,\n\t\t\tState:   stateMap[hostname],\n\t\t\tMetrics: make([]*model.JobMetricWithName, 0, len(metrics)*len(scopes)),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName:   metric,\n\t\t\t\t\tScope:  schema.MetricScopeNode,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetrics = append(nodeMetrics, host)\n\t}\n\n\treturn nodeMetrics, nil\n}\n\n// NodeMetricsList is the resolver for the nodeMetricsList field.\nfunc (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int) (*model.NodesResultList, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\t// nodes -> array hostname\n\tnodes, stateMap, countNodes, hasNextPage, nerr := nodeRepo.GetNodesForList(ctx, cluster, subCluster, stateFilter, nodeFilter, page)\n\tif nerr != nil {\n\t\treturn nil, errors.New(\"could not retrieve node list required for resolving NodeMetricsList\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\t// data -> map hostname:jobdata\n\tdata, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data (Resolver.NodeMetricsList\")\n\t\treturn nil, err\n\t}\n\n\tnodeMetricsList := make([]*model.NodeMetrics, 0, len(data))\n\tfor _, hostname := range nodes {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost:    hostname,\n\t\t\tState:   stateMap[hostname],\n\t\t\tMetrics: make([]*model.JobMetricWithName, 0),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range data[hostname] {\n\t\t\tfor scope, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName:   metric,\n\t\t\t\t\tScope:  scope,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetricsList = append(nodeMetricsList, host)\n\t}\n\n\tnodeMetricsListResult := &model.NodesResultList{\n\t\tItems: nodeMetricsList,\n\t\t// TotalNodes depends on sum of nodes grouped on latest timestamp, see repo/node.go:357\n\t\tTotalNodes:  &countNodes,\n\t\tHasNextPage: &hasNextPage,\n\t}\n\n\treturn nodeMetricsListResult, nil\n}\n\n// ClusterMetrics is the resolver for the clusterMetrics field.\nfunc (r *queryResolver) ClusterMetrics(ctx context.Context, cluster string, metrics []string, from time.Time, to time.Time) (*model.ClusterMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\t// 'nodes' == nil -> Defaults to all nodes of cluster for existing query workflow\n\tscopes := []schema.MetricScope{\"node\"}\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nil, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tclusterMetricData := make([]*model.ClusterMetricWithName, 0)\n\tclusterMetrics := model.ClusterMetrics{NodeCount: 0, Metrics: clusterMetricData}\n\n\tcollectorTimestep := make(map[string]int)\n\tcollectorUnit := make(map[string]schema.Unit)\n\tcollectorData := make(map[string][]schema.Float)\n\n\tfor _, metrics := range data {\n\t\tclusterMetrics.NodeCount += 1\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\t// Collect Info Once\n\t\t\t\t_, okTimestep := collectorTimestep[metric]\n\t\t\t\tif !okTimestep {\n\t\t\t\t\tcollectorTimestep[metric] = scopedMetric.Timestep\n\t\t\t\t}\n\t\t\t\t_, okUnit := collectorUnit[metric]\n\t\t\t\tif !okUnit {\n\t\t\t\t\tcollectorUnit[metric] = scopedMetric.Unit\n\t\t\t\t}\n\t\t\t\t// Collect Data\n\t\t\t\tfor _, ser := range scopedMetric.Series {\n\t\t\t\t\t_, okData := collectorData[metric]\n\t\t\t\t\t// Init With Datasize > 0\n\t\t\t\t\tif !okData && len(ser.Data) != 0 {\n\t\t\t\t\t\tcollectorData[metric] = make([]schema.Float, len(ser.Data))\n\t\t\t\t\t} else if !okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip init: no data -> %s at %s; size %d\", metric, ser.Hostname, len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t\t// Sum if init'd and matching size\n\t\t\t\t\tif okData && len(ser.Data) == len(collectorData[metric]) {\n\t\t\t\t\t\tfor i, val := range ser.Data {\n\t\t\t\t\t\t\tif val.IsNaN() {\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tcollectorData[metric][i] += val\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else if okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip sum: data diff -> %s at %s; want size %d, have size %d\", metric, ser.Hostname, len(collectorData[metric]), len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tfor metricName, data := range collectorData {\n\t\t// use ccUnits for backend normalization to \"Tera\"\n\t\tp_old := ccunit.NewPrefix(collectorUnit[metricName].Prefix)\n\t\tp_new := ccunit.NewPrefix(\"T\")\n\t\tconvFunc := ccunit.GetPrefixPrefixFactor(p_old, p_new)\n\t\tu_new := schema.Unit{Prefix: p_new.Prefix(), Base: collectorUnit[metricName].Base}\n\n\t\troundedData := make([]schema.Float, 0)\n\t\tfor _, v_old := range data {\n\t\t\tv_new := math.Round(convFunc(float64(v_old)).(float64)*100.0) / 100.0\n\t\t\troundedData = append(roundedData, schema.Float(v_new))\n\t\t}\n\n\t\tcm := model.ClusterMetricWithName{\n\t\t\tName:     metricName,\n\t\t\tUnit:     &u_new,\n\t\t\tTimestep: collectorTimestep[metricName],\n\t\t\tData:     roundedData,\n\t\t}\n\n\t\tclusterMetrics.Metrics = append(clusterMetrics.Metrics, &cm)\n\t}\n\n\treturn &clusterMetrics, nil\n}\n\n// NumberOfNodes is the resolver for the numberOfNodes field.\nfunc (r *subClusterResolver) NumberOfNodes(ctx context.Context, obj *schema.SubCluster) (int, error) {\n\tnodeList, err := archive.ParseNodeList(obj.Nodes)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn nodeList.NodeCount(), nil\n}\n\n// Cluster returns generated.ClusterResolver implementation.\nfunc (r *Resolver) Cluster() generated.ClusterResolver { return &clusterResolver{r} }\n\n// Job returns generated.JobResolver implementation.\nfunc (r *Resolver) Job() generated.JobResolver { return &jobResolver{r} }\n\n// MetricValue returns generated.MetricValueResolver implementation.\nfunc (r *Resolver) MetricValue() generated.MetricValueResolver { return &metricValueResolver{r} }\n\n// Mutation returns generated.MutationResolver implementation.\nfunc (r *Resolver) Mutation() generated.MutationResolver { return &mutationResolver{r} }\n\n// Node returns generated.NodeResolver implementation.\nfunc (r *Resolver) Node() generated.NodeResolver { return &nodeResolver{r} }\n\n// Query returns generated.QueryResolver implementation.\nfunc (r *Resolver) Query() generated.QueryResolver { return &queryResolver{r} }\n\n// SubCluster returns generated.SubClusterResolver implementation.\nfunc (r *Resolver) SubCluster() generated.SubClusterResolver { return &subClusterResolver{r} }\n\ntype clusterResolver struct{ *Resolver }\ntype jobResolver struct{ *Resolver }\ntype metricValueResolver struct{ *Resolver }\ntype mutationResolver struct{ *Resolver }\ntype nodeResolver struct{ *Resolver }\ntype queryResolver struct{ *Resolver }\ntype subClusterResolver struct{ *Resolver }\n","structuredPatch":[{"oldStart":676,"oldLines":10,"newStart":676,"newLines":10,"lines":["       // Use request-scoped cache: multiple aliases with same (filter, groupBy)","       // but different sortBy/page hit the DB only once.","       if cache := getStatsGroupCache(ctx); cache != nil {","-        key := statsCacheKey(filter, groupBy)","+        key := statsCacheKey(filter, groupBy, reqFields)","         var allStats []*model.JobsStatistics","         allStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {","-          return r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil)","+          return r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)","         })","         if err == nil {","           stats = sortAndPageStats(allStats, sortBy, page)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"34428c1b-a455-45e5-b389-32f4e44de37d","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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+{"parentUuid":"75d49b2f-edbc-4fdd-972a-69f325980b76","isSidechain":false,"promptId":"1b7f536d-4c30-4f96-96d7-9fb0529def53","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Qyf8MUJB9XiGt56AeBFb1a","type":"tool_result","content":"   620→\t}\n   621→\n   622→\t// Note: Even if App-Default 'config.Keys.UiDefaults[\"job_list_usePaging\"]' is set, always return hasNextPage boolean.\n   623→\t// Users can decide in frontend to use continuous scroll, even if app-default is paging!\n   624→\t// Skip if page.ItemsPerPage == -1 (\"Load All\" -> No Next Page required, Status Dashboards)\n   625→\t/*\n   626→\t  Example Page 4 @ 10 IpP : Does item 41 exist?\n   627→\t  Minimal Page 41 @ 1 IpP : If len(result) is 1, Page 5 @ 10 IpP exists.\n   628→\t*/\n   629→\thasNextPage := false\n   630→\tif page.ItemsPerPage != -1 {\n   631→\t\tnextPage := &model.PageRequest{\n   632→\t\t\tItemsPerPage: 1,\n   633→\t\t\tPage:         ((page.Page * page.ItemsPerPage) + 1),\n   634→\t\t}\n   635→\t\tnextJobs, err := r.Repo.QueryJobs(ctx, filter, nextPage, order)\n   636→\t\tif err != nil {\n   637→\t\t\tcclog.Warn(\"Error while querying next jobs\")\n   638→\t\t\treturn nil, err\n   639→\t\t}\n   640→\t\thasNextPage = len(nextJobs) == 1\n   641→\t}\n   642→\n   643→\treturn &model.JobResultList{Items: jobs, Count: &count, HasNextPage: &hasNextPage}, nil\n   644→}\n   645→\n   646→// JobsStatistics is the resolver for the jobsStatistics field.\n   647→func (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobFilter, metrics []string, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, numDurationBins *string, numMetricBins *int) ([]*model.JobsStatistics, error) {\n   648→\tvar err error\n   649→\tvar stats []*model.JobsStatistics\n   650→\n   651→\t// Top Level Defaults\n   652→\tdefaultDurationBins := \"1h\"\n   653→\tdefaultMetricBins := 10\n   654→\n   655→\t// Build requested fields map for selective column computation\n   656→\tstatsFields := []string{\n   657→\t\t\"totalJobs\", \"totalUsers\", \"totalWalltime\", \"totalNodes\", \"totalCores\",\n   658→\t\t\"totalAccs\", \"totalNodeHours\", \"totalCoreHours\", \"totalAccHours\", \"runningJobs\", \"shortJobs\",\n   659→\t}\n   660→\treqFields := make(map[string]bool, len(statsFields))\n   661→\tfetchedMainStats := false\n   662→\tfor _, f := range statsFields {\n   663→\t\tif requireField(ctx, f) {\n   664→\t\t\treqFields[f] = true\n   665→\t\t\tif f != \"runningJobs\" && f != \"shortJobs\" {\n   666→\t\t\t\tfetchedMainStats = true\n   667→\t\t\t}\n   668→\t\t}\n   669→\t}\n   670→\n   671→\tif fetchedMainStats {\n   672→\t\tif groupBy == nil {\n   673→\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n   674→\t\t} else {\n   675→\t\t\tstartGrouped := time.Now()\n   676→\t\t\t// Use request-scoped cache: multiple aliases with same (filter, groupBy)\n   677→\t\t\t// but different sortBy/page hit the DB only once.\n   678→\t\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n   679→\t\t\t\tkey := statsCacheKey(filter, groupBy, reqFields)\n   680→\t\t\t\tvar allStats []*model.JobsStatistics\n   681→\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n   682→\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)\n   683→\t\t\t\t})\n   684→\t\t\t\tif err == nil {\n   685→\t\t\t\t\tstats = sortAndPageStats(allStats, sortBy, page)\n   686→\t\t\t\t}\n   687→\t\t\t} else {\n   688→\t\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n   689→\t\t\t}\n   690→\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n   691→\t\t}\n   692→\t} else {\n   693→\t\tstats = make([]*model.JobsStatistics, 0, 1)\n   694→\t\tstats = append(stats, &model.JobsStatistics{})\n   695→\t}\n   696→\n   697→\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n   698→\t// Only run separate count queries if main stats were not fetched.\n   699→\tif !fetchedMainStats {\n   700→\t\tif groupBy != nil {\n   701→\t\t\tif requireField(ctx, \"shortJobs\") {\n   702→\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n   703→\t\t\t}\n   704→\t\t\tif requireField(ctx, \"runningJobs\") {\n   705→\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n   706→\t\t\t}\n   707→\t\t} else {\n   708→\t\t\tif requireField(ctx, \"shortJobs\") {\n   709→\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n   710→\t\t\t}\n   711→\t\t\tif requireField(ctx, \"runningJobs\") {\n   712→\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n   713→\t\t\t}\n   714→\t\t}\n   715→\t}\n   716→\n   717→\tif err != nil {\n   718→\t\treturn nil, err\n   719→\t}\n   720→\n   721→\tif requireField(ctx, \"histDuration\") || requireField(ctx, \"histNumNodes\") || requireField(ctx, \"histNumCores\") || requireField(ctx, \"histNumAccs\") {\n   722→\n   723→\t\tif numDurationBins == nil {\n   724→\t\t\tnumDurationBins = &defaultDurationBins\n   725→\t\t}\n   726→\n   727→\t\tif groupBy == nil {\n   728→\t\t\tstats[0], err = r.Repo.AddHistograms(ctx, filter, stats[0], numDurationBins)\n   729→\t\t\tif err != nil {\n   730→\t\t\t\treturn nil, err\n   731→\t\t\t}\n   732→\t\t} else {\n   733→\t\t\treturn nil, errors.New(\"histograms only implemented without groupBy argument\")\n   734→\t\t}\n   735→\t}\n   736→\n   737→\tif requireField(ctx, \"histMetrics\") {\n   738→\n   739→\t\tif numMetricBins == nil {"}]},"uuid":"1a045482-3cd5-41ef-90b6-2979faff1572","timestamp":"2026-03-19T10:06:21.766Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","content":"\t}\n\n\t// Note: Even if App-Default 'config.Keys.UiDefaults[\"job_list_usePaging\"]' is set, always return hasNextPage boolean.\n\t// Users can decide in frontend to use continuous scroll, even if app-default is paging!\n\t// Skip if page.ItemsPerPage == -1 (\"Load All\" -> No Next Page required, Status Dashboards)\n\t/*\n\t  Example Page 4 @ 10 IpP : Does item 41 exist?\n\t  Minimal Page 41 @ 1 IpP : If len(result) is 1, Page 5 @ 10 IpP exists.\n\t*/\n\thasNextPage := false\n\tif page.ItemsPerPage != -1 {\n\t\tnextPage := &model.PageRequest{\n\t\t\tItemsPerPage: 1,\n\t\t\tPage:         ((page.Page * page.ItemsPerPage) + 1),\n\t\t}\n\t\tnextJobs, err := r.Repo.QueryJobs(ctx, filter, nextPage, order)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while querying next jobs\")\n\t\t\treturn nil, err\n\t\t}\n\t\thasNextPage = len(nextJobs) == 1\n\t}\n\n\treturn &model.JobResultList{Items: jobs, Count: &count, HasNextPage: &hasNextPage}, nil\n}\n\n// JobsStatistics is the resolver for the jobsStatistics field.\nfunc (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobFilter, metrics []string, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, numDurationBins *string, numMetricBins *int) ([]*model.JobsStatistics, error) {\n\tvar err error\n\tvar stats []*model.JobsStatistics\n\n\t// Top Level Defaults\n\tdefaultDurationBins := \"1h\"\n\tdefaultMetricBins := 10\n\n\t// Build requested fields map for selective column computation\n\tstatsFields := []string{\n\t\t\"totalJobs\", \"totalUsers\", \"totalWalltime\", \"totalNodes\", \"totalCores\",\n\t\t\"totalAccs\", \"totalNodeHours\", \"totalCoreHours\", \"totalAccHours\", \"runningJobs\", \"shortJobs\",\n\t}\n\treqFields := make(map[string]bool, len(statsFields))\n\tfetchedMainStats := false\n\tfor _, f := range statsFields {\n\t\tif requireField(ctx, f) {\n\t\t\treqFields[f] = true\n\t\t\tif f != \"runningJobs\" && f != \"shortJobs\" {\n\t\t\t\tfetchedMainStats = true\n\t\t\t}\n\t\t}\n\t}\n\n\tif fetchedMainStats {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n\t\t} else {\n\t\t\tstartGrouped := time.Now()\n\t\t\t// Use request-scoped cache: multiple aliases with same (filter, groupBy)\n\t\t\t// but different sortBy/page hit the DB only once.\n\t\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n\t\t\t\tkey := statsCacheKey(filter, groupBy, reqFields)\n\t\t\t\tvar allStats []*model.JobsStatistics\n\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)\n\t\t\t\t})\n\t\t\t\tif err == nil {\n\t\t\t\t\tstats = sortAndPageStats(allStats, sortBy, page)\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\t}\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {\n\t\tstats = make([]*model.JobsStatistics, 0, 1)\n\t\tstats = append(stats, &model.JobsStatistics{})\n\t}\n\n\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n\t// Only run separate count queries if main stats were not fetched.\n\tif !fetchedMainStats {\n\t\tif groupBy != nil {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n\t\t\t}\n\t\t} else {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n\t\t\t}\n\t\t}\n\t}\n\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif requireField(ctx, \"histDuration\") || requireField(ctx, \"histNumNodes\") || requireField(ctx, \"histNumCores\") || requireField(ctx, \"histNumAccs\") {\n\n\t\tif numDurationBins == nil {\n\t\t\tnumDurationBins = &defaultDurationBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddHistograms(ctx, filter, stats[0], numDurationBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\tif requireField(ctx, \"histMetrics\") {\n\n\t\tif numMetricBins == nil {","numLines":120,"startLine":620,"totalLines":1075}},"sourceToolAssistantUUID":"75d49b2f-edbc-4fdd-972a-69f325980b76","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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+{"parentUuid":"ac055d21-8588-4032-aa52-44f241c41cca","isSidechain":false,"promptId":"1b7f536d-4c30-4f96-96d7-9fb0529def53","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Dc7Q5Gd399BkTWhYxj1ktc","type":"tool_result","content":"   130→//\n   131→// Parameters:\n   132→//   - filter: Job filters to apply (cluster, user, time range, etc.)\n   133→//   - col: Column name to GROUP BY; empty string for overall statistics without grouping\n   134→//   - shortThreshold: Duration threshold in seconds for counting short-running jobs\n   135→//   - reqFields: Set of requested field names; nil means compute all fields\n   136→func (r *JobRepository) buildStatsQuery(\n   137→\tfilter []*model.JobFilter,\n   138→\tcol string,\n   139→\tshortThreshold int,\n   140→\treqFields map[string]bool,\n   141→) sq.SelectBuilder {\n   142→\tnow := time.Now().Unix()\n   143→\n   144→\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n   145→\tneed := func(field string) bool {\n   146→\t\treturn reqFields == nil || reqFields[field]\n   147→\t}\n   148→\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n   149→\n   150→\t// Build column list\n   151→\tcolumns := make([]string, 0, 14)\n   152→\n   153→\tif col != \"\" {\n   154→\t\tcolumns = append(columns, col)\n   155→\t}\n   156→\n   157→\tcolumns = append(columns, \"COUNT(*) as totalJobs\")\n   158→\n   159→\tif need(\"totalUsers\") {\n   160→\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n   161→\t} else {\n   162→\t\tcolumns = append(columns, \"0 AS totalUsers\")\n   163→\t}\n   164→\n   165→\tif need(\"totalWalltime\") {\n   166→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n   167→\t} else {\n   168→\t\tcolumns = append(columns, \"0 as totalWalltime\")\n   169→\t}\n   170→\n   171→\tif need(\"totalNodes\") {\n   172→\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n   173→\t} else {\n   174→\t\tcolumns = append(columns, \"0 as totalNodes\")\n   175→\t}\n   176→\n   177→\tif need(\"totalNodeHours\") {\n   178→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n   179→\t} else {\n   180→\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n   181→\t}\n   182→\n   183→\tif need(\"totalCores\") {\n   184→\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n   185→\t} else {\n   186→\t\tcolumns = append(columns, \"0 as totalCores\")\n   187→\t}\n   188→\n   189→\tif need(\"totalCoreHours\") {\n   190→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n   191→\t} else {\n   192→\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n   193→\t}\n   194→\n   195→\tif need(\"totalAccs\") {\n   196→\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n   197→\t} else {\n   198→\t\tcolumns = append(columns, \"0 as totalAccs\")\n   199→\t}\n   200→\n   201→\tif need(\"totalAccHours\") {\n   202→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n   203→\t} else {\n   204→\t\tcolumns = append(columns, \"0 as totalAccHours\")\n   205→\t}\n   206→\n   207→\tif need(\"runningJobs\") {\n   208→\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n   209→\t} else {\n   210→\t\tcolumns = append(columns, \"0 as runningJobs\")\n   211→\t}\n   212→\n   213→\tif need(\"shortJobs\") {\n   214→\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n   215→\t} else {\n   216→\t\tcolumns = append(columns, \"0 as shortJobs\")\n   217→\t}\n   218→\n   219→\tquery := sq.Select(columns...).From(\"job\")\n   220→\tif col != \"\" {\n   221→\t\tquery = query.GroupBy(col)\n   222→\t}\n   223→\n   224→\tfor _, f := range filter {\n   225→\t\tquery = BuildWhereClause(f, query)\n   226→\t}\n   227→\n   228→\treturn query\n   229→}"}]},"uuid":"63ced036-dea3-48c8-9c52-54a5e3c8f175","timestamp":"2026-03-19T10:06:22.670Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","content":"//\n// Parameters:\n//   - filter: Job filters to apply (cluster, user, time range, etc.)\n//   - col: Column name to GROUP BY; empty string for overall statistics without grouping\n//   - shortThreshold: Duration threshold in seconds for counting short-running jobs\n//   - reqFields: Set of requested field names; nil means compute all fields\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n\tshortThreshold int,\n\treqFields map[string]bool,\n) sq.SelectBuilder {\n\tnow := time.Now().Unix()\n\n\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n\tneed := func(field string) bool {\n\t\treturn reqFields == nil || reqFields[field]\n\t}\n\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n\n\t// Build column list\n\tcolumns := make([]string, 0, 14)\n\n\tif col != \"\" {\n\t\tcolumns = append(columns, col)\n\t}\n\n\tcolumns = append(columns, \"COUNT(*) as totalJobs\")\n\n\tif need(\"totalUsers\") {\n\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n\t} else {\n\t\tcolumns = append(columns, \"0 AS totalUsers\")\n\t}\n\n\tif need(\"totalWalltime\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalWalltime\")\n\t}\n\n\tif need(\"totalNodes\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalNodes\")\n\t}\n\n\tif need(\"totalNodeHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n\t}\n\n\tif need(\"totalCores\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalCores\")\n\t}\n\n\tif need(\"totalCoreHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n\t}\n\n\tif need(\"totalAccs\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalAccs\")\n\t}\n\n\tif need(\"totalAccHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalAccHours\")\n\t}\n\n\tif need(\"runningJobs\") {\n\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as runningJobs\")\n\t}\n\n\tif need(\"shortJobs\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n\t} else {\n\t\tcolumns = append(columns, \"0 as shortJobs\")\n\t}\n\n\tquery := sq.Select(columns...).From(\"job\")\n\tif col != \"\" {\n\t\tquery = query.GroupBy(col)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}","numLines":100,"startLine":130,"totalLines":1150}},"sourceToolAssistantUUID":"ac055d21-8588-4032-aa52-44f241c41cca","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
+{"parentUuid":"63ced036-dea3-48c8-9c52-54a5e3c8f175","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01NT7Y6xRphTYtrGUnJvRP2E","type":"message","role":"assistant","content":[{"type":"text","text":"Good. Now let me check a critical edge case: what happens when `sortBy` references a field not in `reqFields`?"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4042,"cache_read_input_tokens":25461,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4042},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZCFaayoLdVEzNFFJwwYn","type":"assistant","uuid":"641d5263-d625-43d7-84fe-6d0c9d9d78f2","timestamp":"2026-03-19T10:06:28.046Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
+{"parentUuid":"641d5263-d625-43d7-84fe-6d0c9d9d78f2","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01NT7Y6xRphTYtrGUnJvRP2E","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KyvAFfwW2mG4XmwNcuYhKu","name":"Agent","input":{"subagent_type":"Explore","description":"Find sortBy+reqFields interactions","prompt":"In the cc-backend codebase, I need to understand if there's a potential bug where `sortAndPageStats` might sort by a field that was zeroed out because it wasn't in `reqFields`.\n\nSpecifically:\n1. Find all GraphQL queries/frontend code that call `jobsStatistics` with both a `groupBy` and `sortBy` argument. Check if any of them sort by a field (e.g. `TOTALUSERS`) without also selecting that field in the response.\n2. Look in `web/frontend/src/` for how `jobsStatistics` is called — what fields are requested and what `sortBy` values are used.\n3. Check `internal/graph/schema.resolvers.go` around the `requireField` function — how does it determine which fields are requested from the GraphQL selection set?\n\nBe thorough — check all .svelte, .js, .ts, and .graphql files in the frontend, plus the GraphQL schema."},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4042,"cache_read_input_tokens":25461,"output_tokens":343,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":4042,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZCFaayoLdVEzNFFJwwYn","type":"assistant","uuid":"6abc7913-0cc4-4eeb-9ae0-3179de20cd34","timestamp":"2026-03-19T10:06:34.912Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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+{"parentUuid":"e0851a26-d5ab-48e0-b79e-68807107ec4f","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"In the cc-backend codebase, I need to understand if there's a potential bug where `sortAndPageStats` might sort by a field that was zeroed out because it wasn't in `reqFields`.\n\nSpecifically:\n1. Find all GraphQL queries/frontend code that call `jobsStatistics` with both a `groupBy` and `sortBy` argument. Check if any of them sort by a field (e.g. `TOTALUSERS`) without also selecting that field in the response.\n2. Look in `web/frontend/src/` for how `jobsStatistics` is called — what fields are requested and what `sortBy` values are used.\n3. Check `internal/graph/schema.resolvers.go` around the `requireField` function — how does it determine which fields are requested from the GraphQL selection set?\n\nBe thorough — check all .svelte, .js, .ts, and .graphql files in the frontend, plus the GraphQL schema."}]},"uuid":"5fc22ac0-2c70-40c1-8f6f-c8282e801a07","timestamp":"2026-03-19T10:06:35.213Z"},"type":"agent_progress","prompt":"In the cc-backend codebase, I need to understand if there's a potential bug where `sortAndPageStats` might sort by a field that was zeroed out because it wasn't in `reqFields`.\n\nSpecifically:\n1. Find all GraphQL queries/frontend code that call `jobsStatistics` with both a `groupBy` and `sortBy` argument. Check if any of them sort by a field (e.g. `TOTALUSERS`) without also selecting that field in the response.\n2. Look in `web/frontend/src/` for how `jobsStatistics` is called — what fields are requested and what `sortBy` values are used.\n3. Check `internal/graph/schema.resolvers.go` around the `requireField` function — how does it determine which fields are requested from the GraphQL selection set?\n\nBe thorough — check all .svelte, .js, .ts, and .graphql files in the frontend, plus the GraphQL schema.","agentId":"a2a88d9a86878e95a"},"toolUseID":"agent_msg_01NT7Y6xRphTYtrGUnJvRP2E","parentToolUseID":"toolu_01KyvAFfwW2mG4XmwNcuYhKu","uuid":"b5a027ae-06aa-4644-a48c-76ebdf4e1909","timestamp":"2026-03-19T10:06:35.214Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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+{"parentUuid":"80bd67c3-2c46-40f3-99a5-3fc3aef3a236","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GihZwpAmU8yaBmHuJamCyB","type":"tool_result","content":"     1→package graph\n     2→\n     3→// This file will be automatically regenerated based on the schema, any resolver\n     4→// implementations\n     5→// will be copied through when generating and any unknown code will be moved to the end.\n     6→// Code generated by github.com/99designs/gqlgen version v0.17.88\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"errors\"\n    11→\t\"fmt\"\n    12→\t\"math\"\n    13→\t\"regexp\"\n    14→\t\"slices\"\n    15→\t\"strconv\"\n    16→\t\"strings\"\n    17→\t\"time\"\n    18→\n    19→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    20→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n    21→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    22→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    23→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    24→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    25→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    26→\tccunit \"github.com/ClusterCockpit/cc-lib/v2/ccUnits\"\n    27→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    28→)\n    29→\n    30→// Partitions is the resolver for the partitions field.\n    31→func (r *clusterResolver) Partitions(ctx context.Context, obj *schema.Cluster) ([]string, error) {\n    32→\treturn r.Repo.Partitions(obj.Name)\n    33→}\n    34→\n    35→// StartTime is the resolver for the startTime field.\n    36→func (r *jobResolver) StartTime(ctx context.Context, obj *schema.Job) (*time.Time, error) {\n    37→\ttimestamp := time.Unix(obj.StartTime, 0)\n    38→\treturn &timestamp, nil\n    39→}\n    40→\n    41→// Tags is the resolver for the tags field.\n    42→func (r *jobResolver) Tags(ctx context.Context, obj *schema.Job) ([]*schema.Tag, error) {\n    43→\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), obj.ID)\n    44→}\n    45→\n    46→// ConcurrentJobs is the resolver for the concurrentJobs field.\n    47→func (r *jobResolver) ConcurrentJobs(ctx context.Context, obj *schema.Job) (*model.JobLinkResultList, error) {\n    48→\t// FIXME: Make the hardcoded duration configurable\n    49→\tif obj.Shared != \"none\" && obj.Duration > 600 {\n    50→\t\treturn r.Repo.FindConcurrentJobs(ctx, obj)\n    51→\t}\n    52→\n    53→\treturn nil, nil\n    54→}\n    55→\n    56→// Footprint is the resolver for the footprint field.\n    57→func (r *jobResolver) Footprint(ctx context.Context, obj *schema.Job) ([]*model.FootprintValue, error) {\n    58→\trawFootprint, err := r.Repo.FetchFootprint(obj)\n    59→\tif err != nil {\n    60→\t\tcclog.Warn(\"Error while fetching job footprint data\")\n    61→\t\treturn nil, err\n    62→\t}\n    63→\n    64→\tres := []*model.FootprintValue{}\n    65→\tfor name, value := range rawFootprint {\n    66→\n    67→\t\tparts := strings.Split(name, \"_\")\n    68→\t\tstatPart := parts[len(parts)-1]\n    69→\t\tnameParts := parts[:len(parts)-1]\n    70→\n    71→\t\tres = append(res, &model.FootprintValue{\n    72→\t\t\tName:  strings.Join(nameParts, \"_\"),\n    73→\t\t\tStat:  statPart,\n    74→\t\t\tValue: value,\n    75→\t\t})\n    76→\t}\n    77→\n    78→\treturn res, err\n    79→}\n    80→\n    81→// EnergyFootprint is the resolver for the energyFootprint field.\n    82→func (r *jobResolver) EnergyFootprint(ctx context.Context, obj *schema.Job) ([]*model.EnergyFootprintValue, error) {\n    83→\trawEnergyFootprint, err := r.Repo.FetchEnergyFootprint(obj)\n    84→\tif err != nil {\n    85→\t\tcclog.Warn(\"Error while fetching job energy footprint data\")\n    86→\t\treturn nil, err\n    87→\t}\n    88→\n    89→\tres := []*model.EnergyFootprintValue{}\n    90→\tfor name, value := range rawEnergyFootprint {\n    91→\t\t// Suboptimal: Nearly hardcoded metric name expectations\n    92→\t\tmatchCPU := regexp.MustCompile(`cpu|Cpu|CPU`)\n    93→\t\tmatchAcc := regexp.MustCompile(`acc|Acc|ACC`)\n    94→\t\tmatchMem := regexp.MustCompile(`mem|Mem|MEM`)\n    95→\t\tmatchCore := regexp.MustCompile(`core|Core|CORE`)\n    96→\n    97→\t\thwType := \"\"\n    98→\t\tswitch test := name; { // NOtice ';' for var declaration\n    99→\t\tcase matchCPU.MatchString(test):\n   100→\t\t\thwType = \"CPU\"\n   101→\t\tcase matchAcc.MatchString(test):\n   102→\t\t\thwType = \"Accelerator\"\n   103→\t\tcase matchMem.MatchString(test):\n   104→\t\t\thwType = \"Memory\"\n   105→\t\tcase matchCore.MatchString(test):\n   106→\t\t\thwType = \"Core\"\n   107→\t\tdefault:\n   108→\t\t\thwType = \"Other\"\n   109→\t\t}\n   110→\n   111→\t\tres = append(res, &model.EnergyFootprintValue{\n   112→\t\t\tHardware: hwType,\n   113→\t\t\tMetric:   name,\n   114→\t\t\tValue:    value,\n   115→\t\t})\n   116→\t}\n   117→\treturn res, err\n   118→}\n   119→\n   120→// MetaData is the resolver for the metaData field.\n   121→func (r *jobResolver) MetaData(ctx context.Context, obj *schema.Job) (any, error) {\n   122→\treturn r.Repo.FetchMetadata(obj)\n   123→}\n   124→\n   125→// UserData is the resolver for the userData field.\n   126→func (r *jobResolver) UserData(ctx context.Context, obj *schema.Job) (*model.User, error) {\n   127→\treturn repository.GetUserRepository().FetchUserInCtx(ctx, obj.User)\n   128→}\n   129→\n   130→// Name is the resolver for the name field.\n   131→func (r *metricValueResolver) Name(ctx context.Context, obj *schema.MetricValue) (*string, error) {\n   132→\tpanic(fmt.Errorf(\"not implemented: Name - name\"))\n   133→}\n   134→\n   135→// CreateTag is the resolver for the createTag field.\n   136→func (r *mutationResolver) CreateTag(ctx context.Context, typeArg string, name string, scope string) (*schema.Tag, error) {\n   137→\tuser := repository.GetUserFromContext(ctx)\n   138→\tif user == nil {\n   139→\t\treturn nil, fmt.Errorf(\"no user in context\")\n   140→\t}\n   141→\n   142→\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n   143→\tif user.HasRole(schema.RoleAdmin) && scope == \"admin\" ||\n   144→\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && scope == \"global\" ||\n   145→\t\tuser.Username == scope {\n   146→\t\t// Create in DB\n   147→\t\tid, err := r.Repo.CreateTag(typeArg, name, scope)\n   148→\t\tif err != nil {\n   149→\t\t\tcclog.Warn(\"Error while creating tag\")\n   150→\t\t\treturn nil, err\n   151→\t\t}\n   152→\t\treturn &schema.Tag{ID: id, Type: typeArg, Name: name, Scope: scope}, nil\n   153→\t} else {\n   154→\t\tcclog.Warnf(\"Not authorized to create tag with scope: %s\", scope)\n   155→\t\treturn nil, fmt.Errorf(\"not authorized to create tag with scope: %s\", scope)\n   156→\t}\n   157→}\n   158→\n   159→// DeleteTag is the resolver for the deleteTag field.\n   160→func (r *mutationResolver) DeleteTag(ctx context.Context, id string) (string, error) {\n   161→\t// This Uses ID string <-> ID string, removeTagFromList uses []string <-> []int\n   162→\tpanic(fmt.Errorf(\"not implemented: DeleteTag - deleteTag\"))\n   163→}\n   164→\n   165→// AddTagsToJob is the resolver for the addTagsToJob field.\n   166→func (r *mutationResolver) AddTagsToJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n   167→\tuser := repository.GetUserFromContext(ctx)\n   168→\tif user == nil {\n   169→\t\treturn nil, fmt.Errorf(\"no user in context\")\n   170→\t}\n   171→\n   172→\tjid, err := strconv.ParseInt(job, 10, 64)\n   173→\tif err != nil {\n   174→\t\tcclog.Warn(\"Error while adding tag to job\")\n   175→\t\treturn nil, err\n   176→\t}\n   177→\n   178→\ttags := []*schema.Tag{}\n   179→\tfor _, tagID := range tagIds {\n   180→\t\t// Get ID\n   181→\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n   182→\t\tif err != nil {\n   183→\t\t\tcclog.Warn(\"Error while parsing tag id\")\n   184→\t\t\treturn nil, err\n   185→\t\t}\n   186→\n   187→\t\t// Test Exists\n   188→\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n   189→\t\tif !exists {\n   190→\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n   191→\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n   192→\t\t}\n   193→\n   194→\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n   195→\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n   196→\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n   197→\t\t\tuser.Username == tscope {\n   198→\t\t\t// Add to Job\n   199→\t\t\tif tags, err = r.Repo.AddTag(user, jid, tid); err != nil {\n   200→\t\t\t\tcclog.Warn(\"Error while adding tag\")\n   201→\t\t\t\treturn nil, err\n   202→\t\t\t}\n   203→\t\t} else {\n   204→\t\t\tcclog.Warnf(\"Not authorized to add tag: %d\", tid)\n   205→\t\t\treturn nil, fmt.Errorf(\"not authorized to add tag: %d\", tid)\n   206→\t\t}\n   207→\t}\n   208→\n   209→\treturn tags, nil\n   210→}\n   211→\n   212→// RemoveTagsFromJob is the resolver for the removeTagsFromJob field.\n   213→func (r *mutationResolver) RemoveTagsFromJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n   214→\tuser := repository.GetUserFromContext(ctx)\n   215→\tif user == nil {\n   216→\t\treturn nil, fmt.Errorf(\"no user in context\")\n   217→\t}\n   218→\n   219→\tjid, err := strconv.ParseInt(job, 10, 64)\n   220→\tif err != nil {\n   221→\t\tcclog.Warn(\"Error while parsing job id\")\n   222→\t\treturn nil, err\n   223→\t}\n   224→\n   225→\ttags := []*schema.Tag{}\n   226→\tfor _, tagID := range tagIds {\n   227→\t\t// Get ID\n   228→\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n   229→\t\tif err != nil {\n   230→\t\t\tcclog.Warn(\"Error while parsing tag id\")\n   231→\t\t\treturn nil, err\n   232→\t\t}\n   233→\n   234→\t\t// Test Exists\n   235→\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n   236→\t\tif !exists {\n   237→\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n   238→\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n   239→\t\t}\n   240→\n   241→\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n   242→\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n   243→\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n   244→\t\t\tuser.Username == tscope {\n   245→\t\t\t// Remove from Job\n   246→\t\t\tif tags, err = r.Repo.RemoveTag(user, jid, tid); err != nil {\n   247→\t\t\t\tcclog.Warn(\"Error while removing tag\")\n   248→\t\t\t\treturn nil, err\n   249→\t\t\t}\n   250→\t\t} else {\n   251→\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n   252→\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n   253→\t\t}\n   254→\n   255→\t}\n   256→\n   257→\treturn tags, nil\n   258→}\n   259→\n   260→// RemoveTagFromList is the resolver for the removeTagFromList field.\n   261→func (r *mutationResolver) RemoveTagFromList(ctx context.Context, tagIds []string) ([]int, error) {\n   262→\t// Needs Contextuser\n   263→\tuser := repository.GetUserFromContext(ctx)\n   264→\tif user == nil {\n   265→\t\treturn nil, fmt.Errorf(\"no user in context\")\n   266→\t}\n   267→\n   268→\ttags := []int{}\n   269→\tfor _, tagID := range tagIds {\n   270→\t\t// Get ID\n   271→\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n   272→\t\tif err != nil {\n   273→\t\t\tcclog.Warn(\"Error while parsing tag id for removal\")\n   274→\t\t\treturn nil, err\n   275→\t\t}\n   276→\n   277→\t\t// Test Exists\n   278→\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n   279→\t\tif !exists {\n   280→\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n   281→\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n   282→\t\t}\n   283→\n   284→\t\t// Test Access: Admins && Admin Tag OR Everyone && Private Tag\n   285→\t\tif user.HasRole(schema.RoleAdmin) && (tscope == \"global\" || tscope == \"admin\") || user.Username == tscope {\n   286→\t\t\t// Remove from DB\n   287→\t\t\tif err = r.Repo.RemoveTagByID(tid); err != nil {\n   288→\t\t\t\tcclog.Warn(\"Error while removing tag\")\n   289→\t\t\t\treturn nil, err\n   290→\t\t\t} else {\n   291→\t\t\t\ttags = append(tags, int(tid))\n   292→\t\t\t}\n   293→\t\t} else {\n   294→\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n   295→\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n   296→\t\t}\n   297→\t}\n   298→\treturn tags, nil\n   299→}\n   300→\n   301→// UpdateConfiguration is the resolver for the updateConfiguration field.\n   302→func (r *mutationResolver) UpdateConfiguration(ctx context.Context, name string, value string) (*string, error) {\n   303→\tif err := repository.GetUserCfgRepo().UpdateConfig(name, value, repository.GetUserFromContext(ctx)); err != nil {\n   304→\t\tcclog.Warn(\"Error while updating user config\")\n   305→\t\treturn nil, err\n   306→\t}\n   307→\n   308→\treturn nil, nil\n   309→}\n   310→\n   311→// ID is the resolver for the id field.\n   312→func (r *nodeResolver) ID(ctx context.Context, obj *schema.Node) (string, error) {\n   313→\tpanic(fmt.Errorf(\"not implemented: ID - id\"))\n   314→}\n   315→\n   316→// SchedulerState is the resolver for the schedulerState field.\n   317→func (r *nodeResolver) SchedulerState(ctx context.Context, obj *schema.Node) (schema.SchedulerState, error) {\n   318→\tif obj.NodeState != \"\" {\n   319→\t\treturn obj.NodeState, nil\n   320→\t} else {\n   321→\t\treturn \"\", fmt.Errorf(\"resolver: no SchedulerState (NodeState) on node object\")\n   322→\t}\n   323→}\n   324→\n   325→// HealthState is the resolver for the healthState field.\n   326→func (r *nodeResolver) HealthState(ctx context.Context, obj *schema.Node) (string, error) {\n   327→\tif obj.HealthState != \"\" {\n   328→\t\treturn string(obj.HealthState), nil\n   329→\t} else {\n   330→\t\treturn \"\", fmt.Errorf(\"resolver: no HealthState (NodeState) on node object\")\n   331→\t}\n   332→}\n   333→\n   334→// MetaData is the resolver for the metaData field.\n   335→func (r *nodeResolver) MetaData(ctx context.Context, obj *schema.Node) (any, error) {\n   336→\tif obj.MetaData != nil {\n   337→\t\treturn obj.MetaData, nil\n   338→\t} else {\n   339→\t\tcclog.Debug(\"resolver: no MetaData (NodeState) on node object\")\n   340→\t\temptyMeta := make(map[string]string, 0)\n   341→\t\treturn emptyMeta, nil\n   342→\t}\n   343→}\n   344→\n   345→// HealthData is the resolver for the healthData field.\n   346→func (r *nodeResolver) HealthData(ctx context.Context, obj *schema.Node) (any, error) {\n   347→\tif obj.HealthData != nil {\n   348→\t\treturn obj.HealthData, nil\n   349→\t} else {\n   350→\t\tcclog.Debug(\"resolver: no HealthData (NodeState) on node object\")\n   351→\t\temptyHealth := make(map[string][]string, 0)\n   352→\t\treturn emptyHealth, nil\n   353→\t}\n   354→}\n   355→\n   356→// Clusters is the resolver for the clusters field.\n   357→func (r *queryResolver) Clusters(ctx context.Context) ([]*schema.Cluster, error) {\n   358→\treturn archive.Clusters, nil\n   359→}\n   360→\n   361→// Tags is the resolver for the tags field.\n   362→func (r *queryResolver) Tags(ctx context.Context) ([]*schema.Tag, error) {\n   363→\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), nil)\n   364→}\n   365→\n   366→// GlobalMetrics is the resolver for the globalMetrics field.\n   367→func (r *queryResolver) GlobalMetrics(ctx context.Context) ([]*schema.GlobalMetricListItem, error) {\n   368→\tuser := repository.GetUserFromContext(ctx)\n   369→\n   370→\tif user != nil {\n   371→\t\tif user.HasRole(schema.RoleUser) || user.HasRole(schema.RoleManager) {\n   372→\t\t\treturn archive.GlobalUserMetricList, nil\n   373→\t\t}\n   374→\t}\n   375→\n   376→\treturn archive.GlobalMetricList, nil\n   377→}\n   378→\n   379→// User is the resolver for the user field.\n   380→func (r *queryResolver) User(ctx context.Context, username string) (*model.User, error) {\n   381→\treturn repository.GetUserRepository().FetchUserInCtx(ctx, username)\n   382→}\n   383→\n   384→// AllocatedNodes is the resolver for the allocatedNodes field.\n   385→func (r *queryResolver) AllocatedNodes(ctx context.Context, cluster string) ([]*model.Count, error) {\n   386→\tdata, err := r.Repo.AllocatedNodes(cluster)\n   387→\tif err != nil {\n   388→\t\tcclog.Warn(\"Error while fetching allocated nodes\")\n   389→\t\treturn nil, err\n   390→\t}\n   391→\n   392→\tcounts := make([]*model.Count, 0, len(data))\n   393→\tfor subcluster, hosts := range data {\n   394→\t\tcounts = append(counts, &model.Count{\n   395→\t\t\tName:  subcluster,\n   396→\t\t\tCount: len(hosts),\n   397→\t\t})\n   398→\t}\n   399→\n   400→\treturn counts, nil\n   401→}\n   402→\n   403→// Node is the resolver for the node field.\n   404→func (r *queryResolver) Node(ctx context.Context, id string) (*schema.Node, error) {\n   405→\trepo := repository.GetNodeRepository()\n   406→\tnumericID, err := strconv.ParseInt(id, 10, 64)\n   407→\tif err != nil {\n   408→\t\tcclog.Warn(\"Error while parsing job id\")\n   409→\t\treturn nil, err\n   410→\t}\n   411→\treturn repo.GetNodeByID(numericID, false)\n   412→}\n   413→\n   414→// Nodes is the resolver for the nodes field.\n   415→func (r *queryResolver) Nodes(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n   416→\trepo := repository.GetNodeRepository()\n   417→\tnodes, err := repo.QueryNodes(ctx, filter, nil, order) // Ignore Paging, Order Unused\n   418→\tcount := len(nodes)\n   419→\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n   420→}\n   421→\n   422→// NodesWithMeta is the resolver for the nodesWithMeta field.\n   423→func (r *queryResolver) NodesWithMeta(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n   424→\t// Why Extra Handler? -> graphql.CollectAllFields(ctx) only returns toplevel fields (i.e.: items, count), and not subfields like item.metaData\n   425→\trepo := repository.GetNodeRepository()\n   426→\tnodes, err := repo.QueryNodesWithMeta(ctx, filter, nil, order) // Ignore Paging, Order Unused\n   427→\tcount := len(nodes)\n   428→\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n   429→}\n   430→\n   431→// NodeStates is the resolver for the nodeStates field.\n   432→func (r *queryResolver) NodeStates(ctx context.Context, filter []*model.NodeFilter) ([]*model.NodeStates, error) {\n   433→\trepo := repository.GetNodeRepository()\n   434→\n   435→\tstateCounts, serr := repo.CountStates(ctx, filter, \"node_state\")\n   436→\tif serr != nil {\n   437→\t\tcclog.Warnf(\"Error while counting nodeStates: %s\", serr.Error())\n   438→\t\treturn nil, serr\n   439→\t}\n   440→\n   441→\thealthCounts, herr := repo.CountStates(ctx, filter, \"health_state\")\n   442→\tif herr != nil {\n   443→\t\tcclog.Warnf(\"Error while counting healthStates: %s\", herr.Error())\n   444→\t\treturn nil, herr\n   445→\t}\n   446→\n   447→\tallCounts := append(stateCounts, healthCounts...)\n   448→\n   449→\treturn allCounts, nil\n   450→}\n   451→\n   452→// NodeStatesTimed is the resolver for the nodeStatesTimed field.\n   453→func (r *queryResolver) NodeStatesTimed(ctx context.Context, filter []*model.NodeFilter, typeArg string) ([]*model.NodeStatesTimed, error) {\n   454→\trepo := repository.GetNodeRepository()\n   455→\n   456→\tif typeArg == \"node\" {\n   457→\t\tstateCounts, serr := repo.CountStatesTimed(ctx, filter, \"node_state\")\n   458→\t\tif serr != nil {\n   459→\t\t\tcclog.Warnf(\"Error while counting nodeStates in time: %s\", serr.Error())\n   460→\t\t\treturn nil, serr\n   461→\t\t}\n   462→\t\treturn stateCounts, nil\n   463→\t}\n   464→\n   465→\tif typeArg == \"health\" {\n   466→\t\thealthCounts, herr := repo.CountStatesTimed(ctx, filter, \"health_state\")\n   467→\t\tif herr != nil {\n   468→\t\t\tcclog.Warnf(\"Error while counting healthStates in time: %s\", herr.Error())\n   469→\t\t\treturn nil, herr\n   470→\t\t}\n   471→\t\treturn healthCounts, nil\n   472→\t}\n   473→\n   474→\treturn nil, errors.New(\"unknown Node State Query Type\")\n   475→}\n   476→\n   477→// Job is the resolver for the job field.\n   478→func (r *queryResolver) Job(ctx context.Context, id string) (*schema.Job, error) {\n   479→\tnumericID, err := strconv.ParseInt(id, 10, 64)\n   480→\tif err != nil {\n   481→\t\tcclog.Warn(\"Error while parsing job id\")\n   482→\t\treturn nil, err\n   483→\t}\n   484→\n   485→\tjob, err := r.Repo.FindByID(ctx, numericID)\n   486→\tif err != nil {\n   487→\t\tcclog.Warn(\"Error while finding job by id\")\n   488→\t\treturn nil, err\n   489→\t}\n   490→\n   491→\tif user := repository.GetUserFromContext(ctx); user != nil &&\n   492→\t\tjob.User != user.Username &&\n   493→\t\tuser.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n   494→\t\treturn nil, errors.New(\"you are not allowed to see this job\")\n   495→\t}\n   496→\n   497→\treturn job, nil\n   498→}\n   499→\n   500→// JobMetrics is the resolver for the jobMetrics field.\n   501→func (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int) ([]*model.JobMetricWithName, error) {\n   502→\tif resolution == nil { // Load from Config\n   503→\t\tif config.Keys.EnableResampling != nil {\n   504→\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n   505→\t\t\tresolution = &defaultRes\n   506→\t\t} else { // Set 0 (Loads configured metric timestep)\n   507→\t\t\tdefaultRes := 0\n   508→\t\t\tresolution = &defaultRes\n   509→\t\t}\n   510→\t}\n   511→\n   512→\tjob, err := r.Query().Job(ctx, id)\n   513→\tif err != nil {\n   514→\t\tcclog.Warn(\"Error while querying job for metrics\")\n   515→\t\treturn nil, err\n   516→\t}\n   517→\n   518→\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution)\n   519→\tif err != nil {\n   520→\t\tcclog.Warn(\"Error while loading job data\")\n   521→\t\treturn nil, err\n   522→\t}\n   523→\n   524→\tres := []*model.JobMetricWithName{}\n   525→\tfor name, md := range data {\n   526→\t\tfor scope, metric := range md {\n   527→\t\t\tres = append(res, &model.JobMetricWithName{\n   528→\t\t\t\tName:   name,\n   529→\t\t\t\tScope:  scope,\n   530→\t\t\t\tMetric: metric,\n   531→\t\t\t})\n   532→\t\t}\n   533→\t}\n   534→\n   535→\treturn res, err\n   536→}\n   537→\n   538→// JobStats is the resolver for the jobStats field.\n   539→func (r *queryResolver) JobStats(ctx context.Context, id string, metrics []string) ([]*model.NamedStats, error) {\n   540→\tjob, err := r.Query().Job(ctx, id)\n   541→\tif err != nil {\n   542→\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n   543→\t\treturn nil, err\n   544→\t}\n   545→\n   546→\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n   547→\tif err != nil {\n   548→\t\tcclog.Warnf(\"Error while loading jobStats data for job id %s\", id)\n   549→\t\treturn nil, err\n   550→\t}\n   551→\n   552→\tres := []*model.NamedStats{}\n   553→\tfor name, md := range data {\n   554→\t\tres = append(res, &model.NamedStats{\n   555→\t\t\tName: name,\n   556→\t\t\tData: &md,\n   557→\t\t})\n   558→\t}\n   559→\n   560→\treturn res, err\n   561→}\n   562→\n   563→// ScopedJobStats is the resolver for the scopedJobStats field.\n   564→func (r *queryResolver) ScopedJobStats(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope) ([]*model.NamedStatsWithScope, error) {\n   565→\tjob, err := r.Query().Job(ctx, id)\n   566→\tif err != nil {\n   567→\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n   568→\t\treturn nil, err\n   569→\t}\n   570→\n   571→\tdata, err := metricdispatch.LoadScopedJobStats(job, metrics, scopes, ctx)\n   572→\tif err != nil {\n   573→\t\tcclog.Warnf(\"Error while loading scopedJobStats data for job id %s\", id)\n   574→\t\treturn nil, err\n   575→\t}\n   576→\n   577→\tres := make([]*model.NamedStatsWithScope, 0)\n   578→\tfor name, scoped := range data {\n   579→\t\tfor scope, stats := range scoped {\n   580→\n   581→\t\t\tmdlStats := make([]*model.ScopedStats, 0)\n   582→\t\t\tfor _, stat := range stats {\n   583→\t\t\t\tmdlStats = append(mdlStats, &model.ScopedStats{\n   584→\t\t\t\t\tHostname: stat.Hostname,\n   585→\t\t\t\t\tID:       stat.ID,\n   586→\t\t\t\t\tData:     stat.Data,\n   587→\t\t\t\t})\n   588→\t\t\t}\n   589→\n   590→\t\t\tres = append(res, &model.NamedStatsWithScope{\n   591→\t\t\t\tName:  name,\n   592→\t\t\t\tScope: scope,\n   593→\t\t\t\tStats: mdlStats,\n   594→\t\t\t})\n   595→\t\t}\n   596→\t}\n   597→\n   598→\treturn res, nil\n   599→}\n   600→\n   601→// Jobs is the resolver for the jobs field.\n   602→func (r *queryResolver) Jobs(ctx context.Context, filter []*model.JobFilter, page *model.PageRequest, order *model.OrderByInput) (*model.JobResultList, error) {\n   603→\tif page == nil {\n   604→\t\tpage = &model.PageRequest{\n   605→\t\t\tItemsPerPage: 50,\n   606→\t\t\tPage:         1,\n   607→\t\t}\n   608→\t}\n   609→\n   610→\tjobs, err := r.Repo.QueryJobs(ctx, filter, page, order)\n   611→\tif err != nil {\n   612→\t\tcclog.Warn(\"Error while querying jobs\")\n   613→\t\treturn nil, err\n   614→\t}\n   615→\n   616→\tcount, err := r.Repo.CountJobs(ctx, filter)\n   617→\tif err != nil {\n   618→\t\tcclog.Warn(\"Error while counting jobs\")\n   619→\t\treturn nil, err\n   620→\t}\n   621→\n   622→\t// Note: Even if App-Default 'config.Keys.UiDefaults[\"job_list_usePaging\"]' is set, always return hasNextPage boolean.\n   623→\t// Users can decide in frontend to use continuous scroll, even if app-default is paging!\n   624→\t// Skip if page.ItemsPerPage == -1 (\"Load All\" -> No Next Page required, Status Dashboards)\n   625→\t/*\n   626→\t  Example Page 4 @ 10 IpP : Does item 41 exist?\n   627→\t  Minimal Page 41 @ 1 IpP : If len(result) is 1, Page 5 @ 10 IpP exists.\n   628→\t*/\n   629→\thasNextPage := false\n   630→\tif page.ItemsPerPage != -1 {\n   631→\t\tnextPage := &model.PageRequest{\n   632→\t\t\tItemsPerPage: 1,\n   633→\t\t\tPage:         ((page.Page * page.ItemsPerPage) + 1),\n   634→\t\t}\n   635→\t\tnextJobs, err := r.Repo.QueryJobs(ctx, filter, nextPage, order)\n   636→\t\tif err != nil {\n   637→\t\t\tcclog.Warn(\"Error while querying next jobs\")\n   638→\t\t\treturn nil, err\n   639→\t\t}\n   640→\t\thasNextPage = len(nextJobs) == 1\n   641→\t}\n   642→\n   643→\treturn &model.JobResultList{Items: jobs, Count: &count, HasNextPage: &hasNextPage}, nil\n   644→}\n   645→\n   646→// JobsStatistics is the resolver for the jobsStatistics field.\n   647→func (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobFilter, metrics []string, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, numDurationBins *string, numMetricBins *int) ([]*model.JobsStatistics, error) {\n   648→\tvar err error\n   649→\tvar stats []*model.JobsStatistics\n   650→\n   651→\t// Top Level Defaults\n   652→\tdefaultDurationBins := \"1h\"\n   653→\tdefaultMetricBins := 10\n   654→\n   655→\t// Build requested fields map for selective column computation\n   656→\tstatsFields := []string{\n   657→\t\t\"totalJobs\", \"totalUsers\", \"totalWalltime\", \"totalNodes\", \"totalCores\",\n   658→\t\t\"totalAccs\", \"totalNodeHours\", \"totalCoreHours\", \"totalAccHours\", \"runningJobs\", \"shortJobs\",\n   659→\t}\n   660→\treqFields := make(map[string]bool, len(statsFields))\n   661→\tfetchedMainStats := false\n   662→\tfor _, f := range statsFields {\n   663→\t\tif requireField(ctx, f) {\n   664→\t\t\treqFields[f] = true\n   665→\t\t\tif f != \"runningJobs\" && f != \"shortJobs\" {\n   666→\t\t\t\tfetchedMainStats = true\n   667→\t\t\t}\n   668→\t\t}\n   669→\t}\n   670→\n   671→\tif fetchedMainStats {\n   672→\t\tif groupBy == nil {\n   673→\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n   674→\t\t} else {\n   675→\t\t\tstartGrouped := time.Now()\n   676→\t\t\t// Use request-scoped cache: multiple aliases with same (filter, groupBy)\n   677→\t\t\t// but different sortBy/page hit the DB only once.\n   678→\t\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n   679→\t\t\t\tkey := statsCacheKey(filter, groupBy, reqFields)\n   680→\t\t\t\tvar allStats []*model.JobsStatistics\n   681→\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n   682→\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)\n   683→\t\t\t\t})\n   684→\t\t\t\tif err == nil {\n   685→\t\t\t\t\tstats = sortAndPageStats(allStats, sortBy, page)\n   686→\t\t\t\t}\n   687→\t\t\t} else {\n   688→\t\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n   689→\t\t\t}\n   690→\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n   691→\t\t}\n   692→\t} else {\n   693→\t\tstats = make([]*model.JobsStatistics, 0, 1)\n   694→\t\tstats = append(stats, &model.JobsStatistics{})\n   695→\t}\n   696→\n   697→\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n   698→\t// Only run separate count queries if main stats were not fetched.\n   699→\tif !fetchedMainStats {\n   700→\t\tif groupBy != nil {\n   701→\t\t\tif requireField(ctx, \"shortJobs\") {\n   702→\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n   703→\t\t\t}\n   704→\t\t\tif requireField(ctx, \"runningJobs\") {\n   705→\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n   706→\t\t\t}\n   707→\t\t} else {\n   708→\t\t\tif requireField(ctx, \"shortJobs\") {\n   709→\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n   710→\t\t\t}\n   711→\t\t\tif requireField(ctx, \"runningJobs\") {\n   712→\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n   713→\t\t\t}\n   714→\t\t}\n   715→\t}\n   716→\n   717→\tif err != nil {\n   718→\t\treturn nil, err\n   719→\t}\n   720→\n   721→\tif requireField(ctx, \"histDuration\") || requireField(ctx, \"histNumNodes\") || requireField(ctx, \"histNumCores\") || requireField(ctx, \"histNumAccs\") {\n   722→\n   723→\t\tif numDurationBins == nil {\n   724→\t\t\tnumDurationBins = &defaultDurationBins\n   725→\t\t}\n   726→\n   727→\t\tif groupBy == nil {\n   728→\t\t\tstats[0], err = r.Repo.AddHistograms(ctx, filter, stats[0], numDurationBins)\n   729→\t\t\tif err != nil {\n   730→\t\t\t\treturn nil, err\n   731→\t\t\t}\n   732→\t\t} else {\n   733→\t\t\treturn nil, errors.New(\"histograms only implemented without groupBy argument\")\n   734→\t\t}\n   735→\t}\n   736→\n   737→\tif requireField(ctx, \"histMetrics\") {\n   738→\n   739→\t\tif numMetricBins == nil {\n   740→\t\t\tnumMetricBins = &defaultMetricBins\n   741→\t\t}\n   742→\n   743→\t\tif groupBy == nil {\n   744→\t\t\tstats[0], err = r.Repo.AddMetricHistograms(ctx, filter, metrics, stats[0], numMetricBins)\n   745→\t\t\tif err != nil {\n   746→\t\t\t\treturn nil, err\n   747→\t\t\t}\n   748→\t\t} else {\n   749→\t\t\treturn nil, errors.New(\"metric histograms only implemented without groupBy argument\")\n   750→\t\t}\n   751→\t}\n   752→\n   753→\treturn stats, nil\n   754→}\n   755→\n   756→// JobsMetricStats is the resolver for the jobsMetricStats field.\n   757→func (r *queryResolver) JobsMetricStats(ctx context.Context, filter []*model.JobFilter, metrics []string) ([]*model.JobStats, error) {\n   758→\t// No Paging, Fixed Order by StartTime ASC\n   759→\torder := &model.OrderByInput{\n   760→\t\tField: \"startTime\",\n   761→\t\tType:  \"col\",\n   762→\t\tOrder: \"ASC\",\n   763→\t}\n   764→\n   765→\tjobs, err := r.Repo.QueryJobs(ctx, filter, nil, order)\n   766→\tif err != nil {\n   767→\t\tcclog.Warn(\"Error while querying jobs for comparison\")\n   768→\t\treturn nil, err\n   769→\t}\n   770→\n   771→\tres := []*model.JobStats{}\n   772→\tfor _, job := range jobs {\n   773→\t\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n   774→\t\tif err != nil {\n   775→\t\t\tcclog.Warnf(\"Error while loading comparison jobStats data for job id %d\", job.JobID)\n   776→\t\t\tcontinue\n   777→\t\t\t// return nil, err\n   778→\t\t}\n   779→\n   780→\t\tsres := []*model.NamedStats{}\n   781→\t\tfor name, md := range data {\n   782→\t\t\tsres = append(sres, &model.NamedStats{\n   783→\t\t\t\tName: name,\n   784→\t\t\t\tData: &md,\n   785→\t\t\t})\n   786→\t\t}\n   787→\n   788→\t\tnumThreadsInt := int(job.NumHWThreads)\n   789→\t\tnumAccsInt := int(job.NumAcc)\n   790→\t\tres = append(res, &model.JobStats{\n   791→\t\t\tID:              int(*job.ID),\n   792→\t\t\tJobID:           strconv.Itoa(int(job.JobID)),\n   793→\t\t\tStartTime:       int(job.StartTime),\n   794→\t\t\tDuration:        int(job.Duration),\n   795→\t\t\tCluster:         job.Cluster,\n   796→\t\t\tSubCluster:      job.SubCluster,\n   797→\t\t\tNumNodes:        int(job.NumNodes),\n   798→\t\t\tNumHWThreads:    &numThreadsInt,\n   799→\t\t\tNumAccelerators: &numAccsInt,\n   800→\t\t\tStats:           sres,\n   801→\t\t})\n   802→\t}\n   803→\treturn res, err\n   804→}\n   805→\n   806→// JobsFootprints is the resolver for the jobsFootprints field.\n   807→func (r *queryResolver) JobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n   808→\t// NOTE: Legacy Naming! This resolver is for normalized histograms in analysis view only - *Not* related to DB \"footprint\" column!\n   809→\treturn r.jobsFootprints(ctx, filter, metrics)\n   810→}\n   811→\n   812→// RooflineHeatmap is the resolver for the rooflineHeatmap field.\n   813→func (r *queryResolver) RooflineHeatmap(ctx context.Context, filter []*model.JobFilter, rows int, cols int, minX float64, minY float64, maxX float64, maxY float64) ([][]float64, error) {\n   814→\treturn r.rooflineHeatmap(ctx, filter, rows, cols, minX, minY, maxX, maxY)\n   815→}\n   816→\n   817→// NodeMetrics is the resolver for the nodeMetrics field.\n   818→func (r *queryResolver) NodeMetrics(ctx context.Context, cluster string, nodes []string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time) ([]*model.NodeMetrics, error) {\n   819→\tuser := repository.GetUserFromContext(ctx)\n   820→\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n   821→\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n   822→\t}\n   823→\n   824→\tdefaultMetrics := make([]string, 0)\n   825→\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n   826→\t\tdefaultMetrics = append(defaultMetrics, mc.Name)\n   827→\t}\n   828→\tif metrics == nil {\n   829→\t\tmetrics = defaultMetrics\n   830→\t} else {\n   831→\t\tmetrics = slices.DeleteFunc(metrics, func(metric string) bool {\n   832→\t\t\treturn !slices.Contains(defaultMetrics, metric) // Remove undefined metrics.\n   833→\t\t})\n   834→\t}\n   835→\n   836→\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)\n   837→\tif err != nil {\n   838→\t\tcclog.Warn(\"error while loading node data\")\n   839→\t\treturn nil, err\n   840→\t}\n   841→\n   842→\tnodeRepo := repository.GetNodeRepository()\n   843→\tstateMap, _ := nodeRepo.MapNodes(cluster)\n   844→\n   845→\tnodeMetrics := make([]*model.NodeMetrics, 0, len(data))\n   846→\tfor hostname, metrics := range data {\n   847→\t\thost := &model.NodeMetrics{\n   848→\t\t\tHost:    hostname,\n   849→\t\t\tState:   stateMap[hostname],\n   850→\t\t\tMetrics: make([]*model.JobMetricWithName, 0, len(metrics)*len(scopes)),\n   851→\t\t}\n   852→\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n   853→\t\tif err != nil {\n   854→\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n   855→\t\t}\n   856→\n   857→\t\tfor metric, scopedMetrics := range metrics {\n   858→\t\t\tfor _, scopedMetric := range scopedMetrics {\n   859→\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n   860→\t\t\t\t\tName:   metric,\n   861→\t\t\t\t\tScope:  schema.MetricScopeNode,\n   862→\t\t\t\t\tMetric: scopedMetric,\n   863→\t\t\t\t})\n   864→\t\t\t}\n   865→\t\t}\n   866→\n   867→\t\tnodeMetrics = append(nodeMetrics, host)\n   868→\t}\n   869→\n   870→\treturn nodeMetrics, nil\n   871→}\n   872→\n   873→// NodeMetricsList is the resolver for the nodeMetricsList field.\n   874→func (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int) (*model.NodesResultList, error) {\n   875→\tif resolution == nil { // Load from Config\n   876→\t\tif config.Keys.EnableResampling != nil {\n   877→\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n   878→\t\t\tresolution = &defaultRes\n   879→\t\t} else { // Set 0 (Loads configured metric timestep)\n   880→\t\t\tdefaultRes := 0\n   881→\t\t\tresolution = &defaultRes\n   882→\t\t}\n   883→\t}\n   884→\n   885→\tuser := repository.GetUserFromContext(ctx)\n   886→\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n   887→\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n   888→\t}\n   889→\n   890→\tnodeRepo := repository.GetNodeRepository()\n   891→\t// nodes -> array hostname\n   892→\tnodes, stateMap, countNodes, hasNextPage, nerr := nodeRepo.GetNodesForList(ctx, cluster, subCluster, stateFilter, nodeFilter, page)\n   893→\tif nerr != nil {\n   894→\t\treturn nil, errors.New(\"could not retrieve node list required for resolving NodeMetricsList\")\n   895→\t}\n   896→\n   897→\tif metrics == nil {\n   898→\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n   899→\t\t\tmetrics = append(metrics, mc.Name)\n   900→\t\t}\n   901→\t}\n   902→\n   903→\t// data -> map hostname:jobdata\n   904→\tdata, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx)\n   905→\tif err != nil {\n   906→\t\tcclog.Warn(\"error while loading node data (Resolver.NodeMetricsList\")\n   907→\t\treturn nil, err\n   908→\t}\n   909→\n   910→\tnodeMetricsList := make([]*model.NodeMetrics, 0, len(data))\n   911→\tfor _, hostname := range nodes {\n   912→\t\thost := &model.NodeMetrics{\n   913→\t\t\tHost:    hostname,\n   914→\t\t\tState:   stateMap[hostname],\n   915→\t\t\tMetrics: make([]*model.JobMetricWithName, 0),\n   916→\t\t}\n   917→\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n   918→\t\tif err != nil {\n   919→\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n   920→\t\t}\n   921→\n   922→\t\tfor metric, scopedMetrics := range data[hostname] {\n   923→\t\t\tfor scope, scopedMetric := range scopedMetrics {\n   924→\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n   925→\t\t\t\t\tName:   metric,\n   926→\t\t\t\t\tScope:  scope,\n   927→\t\t\t\t\tMetric: scopedMetric,\n   928→\t\t\t\t})\n   929→\t\t\t}\n   930→\t\t}\n   931→\n   932→\t\tnodeMetricsList = append(nodeMetricsList, host)\n   933→\t}\n   934→\n   935→\tnodeMetricsListResult := &model.NodesResultList{\n   936→\t\tItems: nodeMetricsList,\n   937→\t\t// TotalNodes depends on sum of nodes grouped on latest timestamp, see repo/node.go:357\n   938→\t\tTotalNodes:  &countNodes,\n   939→\t\tHasNextPage: &hasNextPage,\n   940→\t}\n   941→\n   942→\treturn nodeMetricsListResult, nil\n   943→}\n   944→\n   945→// ClusterMetrics is the resolver for the clusterMetrics field.\n   946→func (r *queryResolver) ClusterMetrics(ctx context.Context, cluster string, metrics []string, from time.Time, to time.Time) (*model.ClusterMetrics, error) {\n   947→\tuser := repository.GetUserFromContext(ctx)\n   948→\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n   949→\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n   950→\t}\n   951→\n   952→\tif metrics == nil {\n   953→\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n   954→\t\t\tmetrics = append(metrics, mc.Name)\n   955→\t\t}\n   956→\t}\n   957→\n   958→\t// 'nodes' == nil -> Defaults to all nodes of cluster for existing query workflow\n   959→\tscopes := []schema.MetricScope{\"node\"}\n   960→\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nil, scopes, from, to, ctx)\n   961→\tif err != nil {\n   962→\t\tcclog.Warn(\"error while loading node data\")\n   963→\t\treturn nil, err\n   964→\t}\n   965→\n   966→\tclusterMetricData := make([]*model.ClusterMetricWithName, 0)\n   967→\tclusterMetrics := model.ClusterMetrics{NodeCount: 0, Metrics: clusterMetricData}\n   968→\n   969→\tcollectorTimestep := make(map[string]int)\n   970→\tcollectorUnit := make(map[string]schema.Unit)\n   971→\tcollectorData := make(map[string][]schema.Float)\n   972→\n   973→\tfor _, metrics := range data {\n   974→\t\tclusterMetrics.NodeCount += 1\n   975→\t\tfor metric, scopedMetrics := range metrics {\n   976→\t\t\tfor _, scopedMetric := range scopedMetrics {\n   977→\t\t\t\t// Collect Info Once\n   978→\t\t\t\t_, okTimestep := collectorTimestep[metric]\n   979→\t\t\t\tif !okTimestep {\n   980→\t\t\t\t\tcollectorTimestep[metric] = scopedMetric.Timestep\n   981→\t\t\t\t}\n   982→\t\t\t\t_, okUnit := collectorUnit[metric]\n   983→\t\t\t\tif !okUnit {\n   984→\t\t\t\t\tcollectorUnit[metric] = scopedMetric.Unit\n   985→\t\t\t\t}\n   986→\t\t\t\t// Collect Data\n   987→\t\t\t\tfor _, ser := range scopedMetric.Series {\n   988→\t\t\t\t\t_, okData := collectorData[metric]\n   989→\t\t\t\t\t// Init With Datasize > 0\n   990→\t\t\t\t\tif !okData && len(ser.Data) != 0 {\n   991→\t\t\t\t\t\tcollectorData[metric] = make([]schema.Float, len(ser.Data))\n   992→\t\t\t\t\t} else if !okData {\n   993→\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip init: no data -> %s at %s; size %d\", metric, ser.Hostname, len(ser.Data))\n   994→\t\t\t\t\t}\n   995→\t\t\t\t\t// Sum if init'd and matching size\n   996→\t\t\t\t\tif okData && len(ser.Data) == len(collectorData[metric]) {\n   997→\t\t\t\t\t\tfor i, val := range ser.Data {\n   998→\t\t\t\t\t\t\tif val.IsNaN() {\n   999→\t\t\t\t\t\t\t\tcontinue\n  1000→\t\t\t\t\t\t\t} else {\n  1001→\t\t\t\t\t\t\t\tcollectorData[metric][i] += val\n  1002→\t\t\t\t\t\t\t}\n  1003→\t\t\t\t\t\t}\n  1004→\t\t\t\t\t} else if okData {\n  1005→\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip sum: data diff -> %s at %s; want size %d, have size %d\", metric, ser.Hostname, len(collectorData[metric]), len(ser.Data))\n  1006→\t\t\t\t\t}\n  1007→\t\t\t\t}\n  1008→\t\t\t}\n  1009→\t\t}\n  1010→\t}\n  1011→\n  1012→\tfor metricName, data := range collectorData {\n  1013→\t\t// use ccUnits for backend normalization to \"Tera\"\n  1014→\t\tp_old := ccunit.NewPrefix(collectorUnit[metricName].Prefix)\n  1015→\t\tp_new := ccunit.NewPrefix(\"T\")\n  1016→\t\tconvFunc := ccunit.GetPrefixPrefixFactor(p_old, p_new)\n  1017→\t\tu_new := schema.Unit{Prefix: p_new.Prefix(), Base: collectorUnit[metricName].Base}\n  1018→\n  1019→\t\troundedData := make([]schema.Float, 0)\n  1020→\t\tfor _, v_old := range data {\n  1021→\t\t\tv_new := math.Round(convFunc(float64(v_old)).(float64)*100.0) / 100.0\n  1022→\t\t\troundedData = append(roundedData, schema.Float(v_new))\n  1023→\t\t}\n  1024→\n  1025→\t\tcm := model.ClusterMetricWithName{\n  1026→\t\t\tName:     metricName,\n  1027→\t\t\tUnit:     &u_new,\n  1028→\t\t\tTimestep: collectorTimestep[metricName],\n  1029→\t\t\tData:     roundedData,\n  1030→\t\t}\n  1031→\n  1032→\t\tclusterMetrics.Metrics = append(clusterMetrics.Metrics, &cm)\n  1033→\t}\n  1034→\n  1035→\treturn &clusterMetrics, nil\n  1036→}\n  1037→\n  1038→// NumberOfNodes is the resolver for the numberOfNodes field.\n  1039→func (r *subClusterResolver) NumberOfNodes(ctx context.Context, obj *schema.SubCluster) (int, error) {\n  1040→\tnodeList, err := archive.ParseNodeList(obj.Nodes)\n  1041→\tif err != nil {\n  1042→\t\treturn 0, err\n  1043→\t}\n  1044→\treturn nodeList.NodeCount(), nil\n  1045→}\n  1046→\n  1047→// Cluster returns generated.ClusterResolver implementation.\n  1048→func (r *Resolver) Cluster() generated.ClusterResolver { return &clusterResolver{r} }\n  1049→\n  1050→// Job returns generated.JobResolver implementation.\n  1051→func (r *Resolver) Job() generated.JobResolver { return &jobResolver{r} }\n  1052→\n  1053→// MetricValue returns generated.MetricValueResolver implementation.\n  1054→func (r *Resolver) MetricValue() generated.MetricValueResolver { return &metricValueResolver{r} }\n  1055→\n  1056→// Mutation returns generated.MutationResolver implementation.\n  1057→func (r *Resolver) Mutation() generated.MutationResolver { return &mutationResolver{r} }\n  1058→\n  1059→// Node returns generated.NodeResolver implementation.\n  1060→func (r *Resolver) Node() generated.NodeResolver { return &nodeResolver{r} }\n  1061→\n  1062→// Query returns generated.QueryResolver implementation.\n  1063→func (r *Resolver) Query() generated.QueryResolver { return &queryResolver{r} }\n  1064→\n  1065→// SubCluster returns generated.SubClusterResolver implementation.\n  1066→func (r *Resolver) SubCluster() generated.SubClusterResolver { return &subClusterResolver{r} }\n  1067→\n  1068→type clusterResolver struct{ *Resolver }\n  1069→type jobResolver struct{ *Resolver }\n  1070→type metricValueResolver struct{ *Resolver }\n  1071→type mutationResolver struct{ *Resolver }\n  1072→type nodeResolver struct{ *Resolver }\n  1073→type queryResolver struct{ *Resolver }\n  1074→type subClusterResolver struct{ *Resolver }\n  1075→"}]},"uuid":"a662a0ac-3e2a-48a0-92b6-65965ae2a497","timestamp":"2026-03-19T10:06:41.549Z"},"type":"agent_progress","prompt":"","agentId":"a2a88d9a86878e95a"},"toolUseID":"agent_msg_01NT7Y6xRphTYtrGUnJvRP2E","parentToolUseID":"toolu_01KyvAFfwW2mG4XmwNcuYhKu","uuid":"b33d04d1-dd69-49e8-81ff-2e299e712d18","timestamp":"2026-03-19T10:06:41.698Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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+{"parentUuid":"68e38cea-a2ad-4248-94ed-ef9e407e3d3c","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NN7LzBDBBbMx4KFhLqiXxQ","type":"tool_result","content":"     1→scalar Time\n     2→scalar Any\n     3→\n     4→scalar NullableFloat\n     5→scalar MetricScope\n     6→scalar JobState\n     7→scalar SchedulerState\n     8→scalar MonitoringState\n     9→\n    10→type Node {\n    11→  id: ID!\n    12→  hostname: String!\n    13→  cluster: String!\n    14→  subCluster: String!\n    15→  jobsRunning: Int!\n    16→  cpusAllocated: Int\n    17→  memoryAllocated: Int\n    18→  gpusAllocated: Int\n    19→  schedulerState: SchedulerState!\n    20→  healthState: MonitoringState!\n    21→  metaData: Any\n    22→  healthData: Any\n    23→}\n    24→\n    25→type NodeStates {\n    26→  state: String!\n    27→  count: Int!\n    28→}\n    29→\n    30→type NodeStatesTimed {\n    31→  state: String!\n    32→  counts: [Int!]!\n    33→  times: [Int!]!\n    34→}\n    35→\n    36→type Job {\n    37→  id: ID!\n    38→  jobId: Int!\n    39→  user: String!\n    40→  project: String!\n    41→  cluster: String!\n    42→  subCluster: String!\n    43→  startTime: Time!\n    44→  duration: Int!\n    45→  walltime: Int!\n    46→  numNodes: Int!\n    47→  numHWThreads: Int!\n    48→  numAcc: Int!\n    49→  energy: Float!\n    50→  SMT: Int!\n    51→  shared: String!\n    52→  partition: String!\n    53→  arrayJobId: Int!\n    54→  monitoringStatus: Int!\n    55→  state: JobState!\n    56→  tags: [Tag!]!\n    57→  resources: [Resource!]!\n    58→  concurrentJobs: JobLinkResultList\n    59→  footprint: [FootprintValue]\n    60→  energyFootprint: [EnergyFootprintValue]\n    61→  metaData: Any\n    62→  userData: User\n    63→}\n    64→\n    65→type JobLink {\n    66→  id: ID!\n    67→  jobId: Int!\n    68→}\n    69→\n    70→type Cluster {\n    71→  name: String!\n    72→  partitions: [String!]! # Slurm partitions\n    73→  subClusters: [SubCluster!]! # Hardware partitions/subclusters\n    74→}\n    75→\n    76→type SubCluster {\n    77→  name: String!\n    78→  nodes: String!\n    79→  numberOfNodes: Int!\n    80→  processorType: String!\n    81→  socketsPerNode: Int!\n    82→  coresPerSocket: Int!\n    83→  threadsPerCore: Int!\n    84→  flopRateScalar: MetricValue!\n    85→  flopRateSimd: MetricValue!\n    86→  memoryBandwidth: MetricValue!\n    87→  topology: Topology!\n    88→  metricConfig: [MetricConfig!]!\n    89→  footprint: [String!]!\n    90→}\n    91→\n    92→type FootprintValue {\n    93→  name: String!\n    94→  stat: String!\n    95→  value: Float!\n    96→}\n    97→\n    98→type EnergyFootprintValue {\n    99→  hardware: String!\n   100→  metric: String!\n   101→  value: Float!\n   102→}\n   103→\n   104→type MetricValue {\n   105→  name: String\n   106→  unit: Unit!\n   107→  value: Float!\n   108→}\n   109→\n   110→type Topology {\n   111→  node: [Int!]\n   112→  socket: [[Int!]!]\n   113→  memoryDomain: [[Int!]!]\n   114→  die: [[Int!]!]\n   115→  core: [[Int!]!]\n   116→  accelerators: [Accelerator!]\n   117→}\n   118→\n   119→type Accelerator {\n   120→  id: String!\n   121→  type: String!\n   122→  model: String!\n   123→}\n   124→\n   125→type SubClusterConfig {\n   126→  name: String!\n   127→  peak: Float\n   128→  normal: Float\n   129→  caution: Float\n   130→  alert: Float\n   131→  remove: Boolean\n   132→}\n   133→\n   134→type MetricConfig {\n   135→  name: String!\n   136→  unit: Unit!\n   137→  scope: MetricScope!\n   138→  aggregation: String!\n   139→  timestep: Int!\n   140→  peak: Float!\n   141→  normal: Float\n   142→  caution: Float!\n   143→  alert: Float!\n   144→  lowerIsBetter: Boolean\n   145→  subClusters: [SubClusterConfig!]!\n   146→}\n   147→\n   148→type Tag {\n   149→  id: ID!\n   150→  type: String!\n   151→  name: String!\n   152→  scope: String!\n   153→}\n   154→\n   155→type Resource {\n   156→  hostname: String!\n   157→  hwthreads: [Int!]\n   158→  accelerators: [String!]\n   159→  configuration: String\n   160→}\n   161→\n   162→type JobMetricWithName {\n   163→  name: String!\n   164→  scope: MetricScope!\n   165→  metric: JobMetric!\n   166→}\n   167→\n   168→type ClusterMetricWithName {\n   169→  name: String!\n   170→  unit: Unit\n   171→  timestep: Int!\n   172→  data: [NullableFloat!]!\n   173→}\n   174→\n   175→type JobMetric {\n   176→  unit: Unit\n   177→  timestep: Int!\n   178→  series: [Series!]\n   179→  statisticsSeries: StatsSeries\n   180→}\n   181→\n   182→type Series {\n   183→  hostname: String!\n   184→  id: String\n   185→  statistics: MetricStatistics\n   186→  data: [NullableFloat!]!\n   187→}\n   188→\n   189→type StatsSeries {\n   190→  mean: [NullableFloat!]!\n   191→  median: [NullableFloat!]!\n   192→  min: [NullableFloat!]!\n   193→  max: [NullableFloat!]!\n   194→}\n   195→\n   196→type NamedStatsWithScope {\n   197→  name: String!\n   198→  scope: MetricScope!\n   199→  stats: [ScopedStats!]!\n   200→}\n   201→\n   202→type ScopedStats {\n   203→  hostname: String!\n   204→  id: String\n   205→  data: MetricStatistics!\n   206→}\n   207→\n   208→type JobStats {\n   209→  id: Int!\n   210→  jobId: String!\n   211→  startTime: Int!\n   212→  duration: Int!\n   213→  cluster: String!\n   214→  subCluster: String!\n   215→  numNodes: Int!\n   216→  numHWThreads: Int\n   217→  numAccelerators: Int\n   218→  stats: [NamedStats!]!\n   219→}\n   220→\n   221→type NamedStats {\n   222→  name: String!\n   223→  data: MetricStatistics!\n   224→}\n   225→\n   226→type Unit {\n   227→  base: String!\n   228→  prefix: String\n   229→}\n   230→\n   231→type MetricStatistics {\n   232→  avg: Float!\n   233→  min: Float!\n   234→  max: Float!\n   235→}\n   236→\n   237→type MetricFootprints {\n   238→  metric: String!\n   239→  data: [NullableFloat!]!\n   240→}\n   241→\n   242→type Footprints {\n   243→  timeWeights: TimeWeights!\n   244→  metrics: [MetricFootprints!]!\n   245→}\n   246→\n   247→type TimeWeights {\n   248→  nodeHours: [NullableFloat!]!\n   249→  accHours: [NullableFloat!]!\n   250→  coreHours: [NullableFloat!]!\n   251→}\n   252→\n   253→enum Aggregate {\n   254→  USER\n   255→  PROJECT\n   256→  CLUSTER\n   257→  SUBCLUSTER\n   258→}\n   259→enum SortByAggregate {\n   260→  TOTALWALLTIME\n   261→  TOTALJOBS\n   262→  TOTALUSERS\n   263→  TOTALNODES\n   264→  TOTALNODEHOURS\n   265→  TOTALCORES\n   266→  TOTALCOREHOURS\n   267→  TOTALACCS\n   268→  TOTALACCHOURS\n   269→}\n   270→\n   271→type NodeMetrics {\n   272→  host: String!\n   273→  state: String!\n   274→  subCluster: String!\n   275→  metrics: [JobMetricWithName!]!\n   276→}\n   277→\n   278→type ClusterMetrics {\n   279→  nodeCount: Int!\n   280→  metrics: [ClusterMetricWithName!]!\n   281→}\n   282→\n   283→type NodesResultList {\n   284→  items: [NodeMetrics!]!\n   285→  offset: Int\n   286→  limit: Int\n   287→  count: Int\n   288→  totalNodes: Int\n   289→  hasNextPage: Boolean\n   290→}\n   291→\n   292→type ClusterSupport {\n   293→  cluster: String!\n   294→  subClusters: [String!]!\n   295→}\n   296→\n   297→type GlobalMetricListItem {\n   298→  name: String!\n   299→  unit: Unit!\n   300→  scope: MetricScope!\n   301→  footprint: String\n   302→  availability: [ClusterSupport!]!\n   303→}\n   304→\n   305→type Count {\n   306→  name: String!\n   307→  count: Int!\n   308→}\n   309→\n   310→type User {\n   311→  username: String!\n   312→  name: String!\n   313→  email: String!\n   314→}\n   315→\n   316→input MetricStatItem {\n   317→  metricName: String!\n   318→  range: FloatRange!\n   319→}\n   320→\n   321→type Query {\n   322→  clusters: [Cluster!]! # List of all clusters\n   323→  tags: [Tag!]! # List of all tags\n   324→  globalMetrics: [GlobalMetricListItem!]!\n   325→\n   326→  user(username: String!): User\n   327→  allocatedNodes(cluster: String!): [Count!]!\n   328→\n   329→  ## Node Queries New\n   330→  node(id: ID!): Node\n   331→  nodes(filter: [NodeFilter!], order: OrderByInput): NodeStateResultList!\n   332→  nodesWithMeta(filter: [NodeFilter!], order: OrderByInput): NodeStateResultList!\n   333→  nodeStates(filter: [NodeFilter!]): [NodeStates!]!\n   334→  nodeStatesTimed(filter: [NodeFilter!], type: String!): [NodeStatesTimed!]!\n   335→\n   336→  job(id: ID!): Job\n   337→  jobMetrics(\n   338→    id: ID!\n   339→    metrics: [String!]\n   340→    scopes: [MetricScope!]\n   341→    resolution: Int\n   342→  ): [JobMetricWithName!]!\n   343→\n   344→  jobStats(id: ID!, metrics: [String!]): [NamedStats!]!\n   345→\n   346→  scopedJobStats(\n   347→    id: ID!\n   348→    metrics: [String!]\n   349→    scopes: [MetricScope!]\n   350→  ): [NamedStatsWithScope!]!\n   351→\n   352→  jobs(\n   353→    filter: [JobFilter!]\n   354→    page: PageRequest\n   355→    order: OrderByInput\n   356→  ): JobResultList!\n   357→\n   358→  jobsStatistics(\n   359→    filter: [JobFilter!]\n   360→    metrics: [String!]\n   361→    page: PageRequest\n   362→    sortBy: SortByAggregate\n   363→    groupBy: Aggregate\n   364→    numDurationBins: String\n   365→    numMetricBins: Int\n   366→  ): [JobsStatistics!]!\n   367→\n   368→  jobsMetricStats(filter: [JobFilter!], metrics: [String!]): [JobStats!]!\n   369→  jobsFootprints(filter: [JobFilter!], metrics: [String!]!): Footprints\n   370→\n   371→  rooflineHeatmap(\n   372→    filter: [JobFilter!]!\n   373→    rows: Int!\n   374→    cols: Int!\n   375→    minX: Float!\n   376→    minY: Float!\n   377→    maxX: Float!\n   378→    maxY: Float!\n   379→  ): [[Float!]!]!\n   380→\n   381→  nodeMetrics(\n   382→    cluster: String!\n   383→    nodes: [String!]\n   384→    scopes: [MetricScope!]\n   385→    metrics: [String!]\n   386→    from: Time!\n   387→    to: Time!\n   388→  ): [NodeMetrics!]!\n   389→\n   390→  nodeMetricsList(\n   391→    cluster: String!\n   392→    subCluster: String!\n   393→    stateFilter: String!\n   394→    nodeFilter: String!\n   395→    scopes: [MetricScope!]\n   396→    metrics: [String!]\n   397→    from: Time!\n   398→    to: Time!\n   399→    page: PageRequest\n   400→    resolution: Int\n   401→  ): NodesResultList!\n   402→\n   403→  clusterMetrics(\n   404→    cluster: String!\n   405→    metrics: [String!]\n   406→    from: Time!\n   407→    to: Time!\n   408→  ): ClusterMetrics!\n   409→}\n   410→\n   411→type Mutation {\n   412→  createTag(type: String!, name: String!, scope: String!): Tag!\n   413→  deleteTag(id: ID!): ID!\n   414→  addTagsToJob(job: ID!, tagIds: [ID!]!): [Tag!]!\n   415→  removeTagsFromJob(job: ID!, tagIds: [ID!]!): [Tag!]!\n   416→  removeTagFromList(tagIds: [ID!]!): [Int!]!\n   417→\n   418→  updateConfiguration(name: String!, value: String!): String\n   419→}\n   420→\n   421→type IntRangeOutput {\n   422→  from: Int!\n   423→  to: Int!\n   424→}\n   425→type TimeRangeOutput {\n   426→  range: String\n   427→  from: Time!\n   428→  to: Time!\n   429→}\n   430→\n   431→input NodeFilter {\n   432→  hostname: StringInput\n   433→  cluster: StringInput\n   434→  subCluster: StringInput\n   435→  schedulerState: SchedulerState\n   436→  healthState: MonitoringState\n   437→  timeStart: Int\n   438→}\n   439→\n   440→input JobFilter {\n   441→  tags: [ID!]\n   442→  dbId: [ID!]\n   443→  jobId: StringInput\n   444→  arrayJobId: Int\n   445→  user: StringInput\n   446→  project: StringInput\n   447→  jobName: StringInput\n   448→  cluster: StringInput\n   449→  subCluster: StringInput\n   450→  partition: StringInput\n   451→  duration: IntRange\n   452→  energy: FloatRange\n   453→\n   454→  minRunningFor: Int\n   455→\n   456→  numNodes: IntRange\n   457→  numAccelerators: IntRange\n   458→  numHWThreads: IntRange\n   459→\n   460→  startTime: TimeRange\n   461→  state: [JobState!]\n   462→  metricStats: [MetricStatItem!]\n   463→  shared: String\n   464→  schedule: String\n   465→  node: StringInput\n   466→}\n   467→\n   468→input OrderByInput {\n   469→  field: String!\n   470→  type: String!\n   471→  order: SortDirectionEnum! = ASC\n   472→}\n   473→\n   474→enum SortDirectionEnum {\n   475→  DESC\n   476→  ASC\n   477→}\n   478→\n   479→input StringInput {\n   480→  eq: String\n   481→  neq: String\n   482→  contains: String\n   483→  startsWith: String\n   484→  endsWith: String\n   485→  in: [String!]\n   486→}\n   487→\n   488→input IntRange {\n   489→  from: Int!\n   490→  to: Int!\n   491→}\n   492→input TimeRange {\n   493→  range: String\n   494→  from: Time\n   495→  to: Time\n   496→}\n   497→\n   498→input FloatRange {\n   499→  from: Float!\n   500→  to: Float!\n   501→}\n   502→\n   503→type NodeStateResultList {\n   504→  items: [Node!]!\n   505→  count: Int\n   506→}\n   507→\n   508→type JobResultList {\n   509→  items: [Job!]!\n   510→  offset: Int\n   511→  limit: Int\n   512→  count: Int\n   513→  hasNextPage: Boolean\n   514→}\n   515→\n   516→type JobLinkResultList {\n   517→  listQuery: String\n   518→  items: [JobLink!]!\n   519→  count: Int\n   520→}\n   521→\n   522→type HistoPoint {\n   523→  count: Int!\n   524→  value: Int!\n   525→}\n   526→\n   527→type MetricHistoPoints {\n   528→  metric: String!\n   529→  unit: String!\n   530→  stat: String\n   531→  data: [MetricHistoPoint!]\n   532→}\n   533→\n   534→type MetricHistoPoint {\n   535→  bin: Int\n   536→  count: Int!\n   537→  min: Int\n   538→  max: Int\n   539→}\n   540→\n   541→type JobsStatistics {\n   542→  id: ID! # If `groupBy` was used, ID of the user/project/cluster/subcluster\n   543→  name: String! # if User-Statistics: Given Name of Account (ID) Owner\n   544→  totalUsers: Int! # if *not* User-Statistics: Number of active users (based on running jobs)\n   545→  totalJobs: Int! # Number of jobs\n   546→  runningJobs: Int! # Number of running jobs\n   547→  shortJobs: Int! # Number of jobs with a duration of less than config'd ShortRunningJobsDuration\n   548→  totalWalltime: Int! # Sum of the duration of all matched jobs in hours\n   549→  totalNodes: Int! # Sum of the nodes of all matched jobs\n   550→  totalNodeHours: Int! # Sum of the node hours of all matched jobs\n   551→  totalCores: Int! # Sum of the cores of all matched jobs\n   552→  totalCoreHours: Int! # Sum of the core hours of all matched jobs\n   553→  totalAccs: Int! # Sum of the accs of all matched jobs\n   554→  totalAccHours: Int! # Sum of the gpu hours of all matched jobs\n   555→  histDuration: [HistoPoint!]! # value: hour, count: number of jobs with a rounded duration of value\n   556→  histNumNodes: [HistoPoint!]! # value: number of nodes, count: number of jobs with that number of nodes\n   557→  histNumCores: [HistoPoint!]! # value: number of cores, count: number of jobs with that number of cores\n   558→  histNumAccs: [HistoPoint!]! # value: number of accs, count: number of jobs with that number of accs\n   559→  histMetrics: [MetricHistoPoints!]! # metric: metricname, data array of histopoints: value: metric average bin, count: number of jobs with that metric average\n   560→}\n   561→\n   562→input PageRequest {\n   563→  itemsPerPage: Int!\n   564→  page: Int!\n   565→}\n   566→"}]},"uuid":"5c533d41-7ad1-49cf-9bda-99472c341b48","timestamp":"2026-03-19T10:06:41.731Z"},"type":"agent_progress","prompt":"","agentId":"a2a88d9a86878e95a"},"toolUseID":"agent_msg_01NT7Y6xRphTYtrGUnJvRP2E","parentToolUseID":"toolu_01KyvAFfwW2mG4XmwNcuYhKu","uuid":"063c4f18-2a54-4497-b891-5586057e6f8f","timestamp":"2026-03-19T10:06:41.737Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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+{"parentUuid":"8b728f80-0a7a-432b-ad8e-6d6daecf974f","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HArcyCtk6TsDAkocxBq6Ay","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package graph\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"fmt\"\n    11→\t\"math\"\n    12→\t\"slices\"\n    13→\n    14→\t\"github.com/99designs/gqlgen/graphql\"\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    17→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    18→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    19→)\n    20→\n    21→const MAX_JOBS_FOR_ANALYSIS = 500\n    22→\n    23→// Helper function for the rooflineHeatmap GraphQL query placed here so that schema.resolvers.go is not too full.\n    24→func (r *queryResolver) rooflineHeatmap(\n    25→\tctx context.Context,\n    26→\tfilter []*model.JobFilter,\n    27→\trows int, cols int,\n    28→\tminX float64, minY float64, maxX float64, maxY float64,\n    29→) ([][]float64, error) {\n    30→\tjobs, err := r.Repo.QueryJobs(ctx, filter, &model.PageRequest{Page: 1, ItemsPerPage: MAX_JOBS_FOR_ANALYSIS + 1}, nil)\n    31→\tif err != nil {\n    32→\t\tcclog.Error(\"Error while querying jobs for roofline\")\n    33→\t\treturn nil, err\n    34→\t}\n    35→\tif len(jobs) > MAX_JOBS_FOR_ANALYSIS {\n    36→\t\treturn nil, fmt.Errorf(\"GRAPH/UTIL > too many jobs matched (max: %d)\", MAX_JOBS_FOR_ANALYSIS)\n    37→\t}\n    38→\n    39→\tfcols, frows := float64(cols), float64(rows)\n    40→\tminX, minY, maxX, maxY = math.Log10(minX), math.Log10(minY), math.Log10(maxX), math.Log10(maxY)\n    41→\ttiles := make([][]float64, rows)\n    42→\tfor i := range tiles {\n    43→\t\ttiles[i] = make([]float64, cols)\n    44→\t}\n    45→\n    46→\tfor _, job := range jobs {\n    47→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n    48→\t\t\tcontinue\n    49→\t\t}\n    50→\n    51→\t\t// metricConfigs := archive.GetCluster(job.Cluster).MetricConfig\n    52→\t\t// resolution := 0\n    53→\n    54→\t\t// for _, mc := range metricConfigs {\n    55→\t\t// \tresolution = max(resolution, mc.Timestep)\n    56→\t\t// }\n    57→\n    58→\t\tjobdata, err := metricdispatch.LoadData(job, []string{\"flops_any\", \"mem_bw\"}, []schema.MetricScope{schema.MetricScopeNode}, ctx, 0)\n    59→\t\tif err != nil {\n    60→\t\t\tcclog.Warnf(\"Error while loading roofline metrics for job %d\", *job.ID)\n    61→\t\t\treturn nil, err\n    62→\t\t}\n    63→\n    64→\t\tflops_, membw_ := jobdata[\"flops_any\"], jobdata[\"mem_bw\"]\n    65→\t\tif flops_ == nil && membw_ == nil {\n    66→\t\t\tcclog.Warnf(\"rooflineHeatmap(): 'flops_any' or 'mem_bw' missing for job %d\", *job.ID)\n    67→\t\t\tcontinue\n    68→\t\t\t// return nil, fmt.Errorf(\"GRAPH/UTIL > 'flops_any' or 'mem_bw' missing for job %d\", job.ID)\n    69→\t\t}\n    70→\n    71→\t\tflops, ok1 := flops_[\"node\"]\n    72→\t\tmembw, ok2 := membw_[\"node\"]\n    73→\t\tif !ok1 || !ok2 {\n    74→\t\t\tcclog.Info(\"rooflineHeatmap() query not implemented for where flops_any or mem_bw not available at 'node' level\")\n    75→\t\t\tcontinue\n    76→\t\t\t// TODO/FIXME:\n    77→\t\t\t// return nil, errors.New(\"GRAPH/UTIL > todo: rooflineHeatmap() query not implemented for where flops_any or mem_bw not available at 'node' level\")\n    78→\t\t}\n    79→\n    80→\t\tfor n := 0; n < len(flops.Series); n++ {\n    81→\t\t\tflopsSeries, membwSeries := flops.Series[n], membw.Series[n]\n    82→\t\t\tfor i := 0; i < len(flopsSeries.Data); i++ {\n    83→\t\t\t\tif i >= len(membwSeries.Data) {\n    84→\t\t\t\t\tbreak\n    85→\t\t\t\t}\n    86→\n    87→\t\t\t\tx, y := math.Log10(float64(flopsSeries.Data[i]/membwSeries.Data[i])), math.Log10(float64(flopsSeries.Data[i]))\n    88→\t\t\t\tif math.IsNaN(x) || math.IsNaN(y) || x < minX || x >= maxX || y < minY || y > maxY {\n    89→\t\t\t\t\tcontinue\n    90→\t\t\t\t}\n    91→\n    92→\t\t\t\tx, y = math.Floor(((x-minX)/(maxX-minX))*fcols), math.Floor(((y-minY)/(maxY-minY))*frows)\n    93→\t\t\t\tif x < 0 || x >= fcols || y < 0 || y >= frows {\n    94→\t\t\t\t\tcontinue\n    95→\t\t\t\t}\n    96→\n    97→\t\t\t\ttiles[int(y)][int(x)] += 1\n    98→\t\t\t}\n    99→\t\t}\n   100→\t}\n   101→\n   102→\treturn tiles, nil\n   103→}\n   104→\n   105→// Helper function for the jobsFootprints GraphQL query placed here so that schema.resolvers.go is not too full.\n   106→func (r *queryResolver) jobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n   107→\tjobs, err := r.Repo.QueryJobs(ctx, filter, &model.PageRequest{Page: 1, ItemsPerPage: MAX_JOBS_FOR_ANALYSIS + 1}, nil)\n   108→\tif err != nil {\n   109→\t\tcclog.Error(\"Error while querying jobs for footprint\")\n   110→\t\treturn nil, err\n   111→\t}\n   112→\tif len(jobs) > MAX_JOBS_FOR_ANALYSIS {\n   113→\t\treturn nil, fmt.Errorf(\"GRAPH/UTIL > too many jobs matched (max: %d)\", MAX_JOBS_FOR_ANALYSIS)\n   114→\t}\n   115→\n   116→\tavgs := make([][]schema.Float, len(metrics))\n   117→\tfor i := range avgs {\n   118→\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n   119→\t}\n   120→\n   121→\ttimeweights := new(model.TimeWeights)\n   122→\ttimeweights.NodeHours = make([]schema.Float, 0, len(jobs))\n   123→\ttimeweights.AccHours = make([]schema.Float, 0, len(jobs))\n   124→\ttimeweights.CoreHours = make([]schema.Float, 0, len(jobs))\n   125→\n   126→\tfor _, job := range jobs {\n   127→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n   128→\t\t\tcontinue\n   129→\t\t}\n   130→\n   131→\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n   132→\t\t\tcclog.Error(\"Error while loading averages for footprint\")\n   133→\t\t\treturn nil, err\n   134→\t\t}\n   135→\n   136→\t\t// #166 collect arrays: Null values or no null values?\n   137→\t\ttimeweights.NodeHours = append(timeweights.NodeHours, schema.Float(float64(job.Duration)/60.0*float64(job.NumNodes)))\n   138→\t\tif job.NumAcc > 0 {\n   139→\t\t\ttimeweights.AccHours = append(timeweights.AccHours, schema.Float(float64(job.Duration)/60.0*float64(job.NumAcc)))\n   140→\t\t} else {\n   141→\t\t\ttimeweights.AccHours = append(timeweights.AccHours, schema.Float(1.0))\n   142→\t\t}\n   143→\t\tif job.NumHWThreads > 0 {\n   144→\t\t\ttimeweights.CoreHours = append(timeweights.CoreHours, schema.Float(float64(job.Duration)/60.0*float64(job.NumHWThreads))) // SQLite HWThreads == Cores; numCoresForJob(job)\n   145→\t\t} else {\n   146→\t\t\ttimeweights.CoreHours = append(timeweights.CoreHours, schema.Float(1.0))\n   147→\t\t}\n   148→\t}\n   149→\n   150→\tres := make([]*model.MetricFootprints, len(avgs))\n   151→\tfor i, arr := range avgs {\n   152→\t\tres[i] = &model.MetricFootprints{\n   153→\t\t\tMetric: metrics[i],\n   154→\t\t\tData:   arr,\n   155→\t\t}\n   156→\t}\n   157→\n   158→\treturn &model.Footprints{\n   159→\t\tTimeWeights: timeweights,\n   160→\t\tMetrics:     res,\n   161→\t}, nil\n   162→}\n   163→\n   164→// func numCoresForJob(job *schema.Job) (numCores int) {\n   165→\n   166→// \tsubcluster, scerr := archive.GetSubCluster(job.Cluster, job.SubCluster)\n   167→// \tif scerr != nil {\n   168→// \t\treturn 1\n   169→// \t}\n   170→\n   171→// \ttotalJobCores := 0\n   172→// \ttopology := subcluster.Topology\n   173→\n   174→// \tfor _, host := range job.Resources {\n   175→// \t\thwthreads := host.HWThreads\n   176→// \t\tif hwthreads == nil {\n   177→// \t\t\thwthreads = topology.Node\n   178→// \t\t}\n   179→\n   180→// \t\thostCores, _ := topology.GetCoresFromHWThreads(hwthreads)\n   181→// \t\ttotalJobCores += len(hostCores)\n   182→// \t}\n   183→\n   184→// \treturn totalJobCores\n   185→// }\n   186→\n   187→func requireField(ctx context.Context, name string) bool {\n   188→\tfields := graphql.CollectAllFields(ctx)\n   189→\n   190→\treturn slices.Contains(fields, name)\n   191→}\n   192→"}]},"uuid":"37372227-95f1-4017-baf0-bb81965fa84e","timestamp":"2026-03-19T10:06:41.756Z"},"type":"agent_progress","prompt":"","agentId":"a2a88d9a86878e95a"},"toolUseID":"agent_msg_01NT7Y6xRphTYtrGUnJvRP2E","parentToolUseID":"toolu_01KyvAFfwW2mG4XmwNcuYhKu","uuid":"b7ae670d-286d-4999-95aa-6c58ad8a0bc0","timestamp":"2026-03-19T10:06:41.764Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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+{"parentUuid":"01f21cf5-3ac3-4e3d-88cb-3d91812cb411","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015V1vPWxVsHdxJsEujXEDq7","type":"tool_result","content":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go-73-\tc.mu.Unlock()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go-74-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go-75-\tentry.once.Do(func() {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go-76-\t\tentry.result, entry.err = compute()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go-77-\t})\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go-78-\treturn entry.result, entry.err\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go-79-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go-80-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go-81-// sortAndPageStats sorts a copy of allStats by the given sortBy field (descending)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go-82-// and returns the requested page slice.\ninternal/graph/stats_cache.go:83:func sortAndPageStats(allStats []*model.JobsStatistics, sortBy *model.SortByAggregate, page *model.PageRequest) []*model.JobsStatistics {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go-84-\t// Work on a shallow copy so the cached slice order is not mutated.\ninternal/graph/stats_cache.go-85-\tsorted := make([]*model.JobsStatistics, len(allStats))\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go-86-\tcopy(sorted, allStats)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go-87-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go-88-\tif sortBy != nil {\ninternal/graph/stats_cache.go-89-\t\tgetter := statsFieldGetter(*sortBy)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go-90-\t\tslices.SortFunc(sorted, func(a, b *model.JobsStatistics) int {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go-91-\t\t\treturn getter(b) - getter(a) // descending\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go-92-\t\t})\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go-93-\t}"}]},"uuid":"7e7c17ab-d143-4304-9508-23702df4ce23","timestamp":"2026-03-19T10:06:44.357Z"},"type":"agent_progress","prompt":"","agentId":"a2a88d9a86878e95a"},"toolUseID":"agent_msg_01NT7Y6xRphTYtrGUnJvRP2E","parentToolUseID":"toolu_01KyvAFfwW2mG4XmwNcuYhKu","uuid":"9693a055-f35a-4998-a145-0df3a92abd06","timestamp":"2026-03-19T10:06:44.865Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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+{"parentUuid":"a16aa741-f236-4253-be4d-1b74192e7d04","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HDrPoABijhodB4upcpsGUN","type":"tool_result","content":"     1→<!--\n     2→  @component Main cluster status view component; renders current system-usage information\n     3→\n     4→  Properties:\n     5→  - `presetCluster String`: The cluster to show status information for\n     6→-->\n     7→\n     8→ <script>\n     9→  import { getContext } from \"svelte\";\n    10→  import {\n    11→    Row,\n    12→    Col,\n    13→    Spinner,\n    14→    Card,\n    15→    Icon,\n    16→    Button,\n    17→  } from \"@sveltestrap/sveltestrap\";\n    18→  import {\n    19→    queryStore,\n    20→    gql,\n    21→    getContextClient,\n    22→  } from \"@urql/svelte\";\n    23→  import {\n    24→    convert2uplot,\n    25→  } from \"../../generic/utils.js\";\n    26→  import PlotGrid from \"../../generic/PlotGrid.svelte\";\n    27→  import Histogram from \"../../generic/plots/Histogram.svelte\";\n    28→  import HistogramSelection from \"../../generic/select/HistogramSelection.svelte\";\n    29→  import Refresher from \"../../generic/helper/Refresher.svelte\";\n    30→\n    31→  /* Svelte 5 Props */\n    32→  let {\n    33→    presetCluster,\n    34→    loadMe = false,\n    35→  } = $props();\n    36→\n    37→  /* Const Init */\n    38→  const ccconfig = getContext(\"cc-config\");\n    39→  const globalMetrics = getContext(\"globalMetrics\");\n    40→  const client = getContextClient();\n    41→\n    42→  /* State Init */\n    43→  // Histogram\n    44→  let isHistogramSelectionOpen = $state(false);\n    45→\n    46→  /* Derived */\n    47→  let cluster = $derived(presetCluster);\n    48→  let selectedHistograms = $derived(cluster\n    49→    ? ccconfig[`statusView_selectedHistograms:${cluster}`] || ( ccconfig['statusView_selectedHistograms'] || [] )\n    50→    : ccconfig['statusView_selectedHistograms'] || []);\n    51→\n    52→  // Note: nodeMetrics are requested on configured $timestep resolution\n    53→  const metricStatusQuery = $derived(loadMe ? queryStore({\n    54→    client: client,\n    55→    query: gql`\n    56→      query (\n    57→        $filter: [JobFilter!]!\n    58→        $selectedHistograms: [String!]\n    59→      ) {\n    60→        jobsStatistics(filter: $filter, metrics: $selectedHistograms) {\n    61→          histMetrics {\n    62→            metric\n    63→            unit\n    64→            data {\n    65→              min\n    66→              max\n    67→              count\n    68→              bin\n    69→            }\n    70→          }\n    71→        }\n    72→      }\n    73→    `,\n    74→    variables: {\n    75→      filter: [{ cluster: { eq: cluster} }, { state: [\"running\"] }],\n    76→      selectedHistograms: selectedHistograms\n    77→    },\n    78→    requestPolicy: \"network-only\"\n    79→  }) : null);\n    80→</script>\n    81→\n    82→<!-- Loading indicators & Metric Sleect -->\n    83→<Row class=\"justify-content-between\">\n    84→  <Col class=\"mb-2 mb-md-0\" xs=\"12\" md=\"5\" lg=\"4\" xl=\"3\">\n    85→    <Button\n    86→      outline\n    87→      color=\"secondary\"\n    88→      onclick={() => (isHistogramSelectionOpen = true)}\n    89→    >\n    90→      <Icon name=\"bar-chart-line\" /> Select Histograms\n    91→    </Button>\n    92→  </Col>\n    93→  <Col xs=\"12\" md=\"5\" lg=\"4\" xl=\"3\">\n    94→    <Refresher\n    95→      initially={120}\n    96→      onRefresh={() => {\n    97→        selectedHistograms = [...$state.snapshot(selectedHistograms)]\n    98→      }}\n    99→    />\n   100→  </Col>\n   101→</Row>\n   102→\n   103→<Row cols={1} class=\"text-center mt-3\">\n   104→  {#if $metricStatusQuery?.fetching}\n   105→    <Col>\n   106→      <Spinner />\n   107→    </Col>\n   108→  {:else if $metricStatusQuery?.error}\n   109→    <Col>  \n   110→      <Card body color=\"danger\">{$metricStatusQuery.error.message}</Card>\n   111→    </Col>\n   112→  {/if}\n   113→</Row>\n   114→\n   115→{#if $metricStatusQuery?.data}\n   116→  <!-- Selectable Stats as Histograms : Average Values of Running Jobs -->\n   117→  {#if selectedHistograms}\n   118→    <!-- Note: Ignore '#snippet' Error in IDE -->\n   119→    {#snippet gridContent(item)}\n   120→      <Histogram\n   121→        data={convert2uplot(item.data)}\n   122→        title=\"Distribution of '{item.metric}' averages\"\n   123→        xlabel={`${item.metric} bin maximum ${item?.unit ? `[${item.unit}]` : ``}`}\n   124→        xunit={item.unit}\n   125→        ylabel=\"Number of Jobs\"\n   126→        yunit=\"Jobs\"\n   127→        usesBins\n   128→        enableFlip\n   129→      />\n   130→    {/snippet}\n   131→    \n   132→    {#key $metricStatusQuery?.data?.jobsStatistics[0]?.histMetrics}\n   133→      <PlotGrid\n   134→        items={$metricStatusQuery?.data?.jobsStatistics[0]?.histMetrics}\n   135→        itemsPerRow={2}\n   136→        {gridContent}\n   137→      />\n   138→    {/key}\n   139→  {/if}\n   140→{/if}\n   141→\n   142→<HistogramSelection\n   143→  {cluster}\n   144→  {globalMetrics}\n   145→  bind:isOpen={isHistogramSelectionOpen}\n   146→  presetSelectedHistograms={selectedHistograms}\n   147→  configName=\"statusView_selectedHistograms\"\n   148→  applyChange={(newSelection) => {\n   149→    selectedHistograms = [...newSelection];\n   150→  }}\n   151→/>\n   152→"}]},"uuid":"dd9cbf0f-4a48-416c-ab59-12a323090437","timestamp":"2026-03-19T10:06:45.003Z"},"type":"agent_progress","prompt":"","agentId":"a2a88d9a86878e95a"},"toolUseID":"agent_msg_01NT7Y6xRphTYtrGUnJvRP2E","parentToolUseID":"toolu_01KyvAFfwW2mG4XmwNcuYhKu","uuid":"913a21c9-cfb2-48b9-b20d-09df9c1ce6dd","timestamp":"2026-03-19T10:06:45.007Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
+{"parentUuid":"913a21c9-cfb2-48b9-b20d-09df9c1ce6dd","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-19T10:06:45.048Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01UmtVK2tkhRqLSHvcKp8cNk","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017NHbvPExj3VmLuMRhji5AH","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/Analysis.root.svelte"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":24542,"cache_read_input_tokens":19242,"cache_creation":{"ephemeral_5m_input_tokens":24542,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZCFbzSxPj9cYwXGHjnzJ","uuid":"6ad0f0d1-9e06-49e0-88d2-4111dc020660"},"type":"agent_progress","prompt":"","agentId":"a2a88d9a86878e95a"},"toolUseID":"agent_msg_01NT7Y6xRphTYtrGUnJvRP2E","parentToolUseID":"toolu_01KyvAFfwW2mG4XmwNcuYhKu","uuid":"9145c1fa-b8b9-408d-911c-a34a73c47ad7","timestamp":"2026-03-19T10:06:45.049Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
+{"parentUuid":"9145c1fa-b8b9-408d-911c-a34a73c47ad7","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017NHbvPExj3VmLuMRhji5AH","type":"tool_result","content":"     1→<!--\n     2→  @component Main analysis view component\n     3→\n     4→  Properties:\n     5→  - `filterPresets Object`: Optional predefined filter values\n     6→-->\n     7→\n     8→<script>\n     9→  import { getContext, onMount } from \"svelte\";\n    10→  import {\n    11→    queryStore,\n    12→    gql,\n    13→    getContextClient,\n    14→    mutationStore,\n    15→  } from \"@urql/svelte\";\n    16→  import {\n    17→    Row,\n    18→    Col,\n    19→    Spinner,\n    20→    Card,\n    21→    Table,\n    22→    Icon,\n    23→    Tooltip\n    24→  } from \"@sveltestrap/sveltestrap\";\n    25→  import {\n    26→    init,\n    27→    convert2uplot,\n    28→    binsFromFootprint,\n    29→    scramble,\n    30→    scrambleNames,\n    31→  } from \"./generic/utils.js\";\n    32→  import PlotSelection from \"./analysis/PlotSelection.svelte\";\n    33→  import Filters from \"./generic/Filters.svelte\";\n    34→  import PlotGrid from \"./generic/PlotGrid.svelte\";\n    35→  import Histogram from \"./generic/plots/Histogram.svelte\";\n    36→  import Pie, { colors } from \"./generic/plots/Pie.svelte\";\n    37→  import ScatterPlot from \"./generic/plots/Scatter.svelte\";\n    38→  import RooflineHeatmap from \"./generic/plots/RooflineHeatmap.svelte\";\n    39→\n    40→  /* Svelte 5 Props */\n    41→  let {\n    42→    filterPresets\n    43→  } = $props();\n    44→\n    45→  // By default, look at the jobs of the last 6 hours:\n    46→  // svelte-ignore state_referenced_locally\n    47→  if (filterPresets?.startTime == null) {\n    48→    // svelte-ignore state_referenced_locally\n    49→    if (filterPresets == null) filterPresets = {};\n    50→    let now = new Date(Date.now());\n    51→    let hourAgo = new Date(now);\n    52→    hourAgo.setHours(hourAgo.getHours() - 6);\n    53→    // svelte-ignore state_referenced_locally\n    54→    filterPresets.startTime = {\n    55→      from: hourAgo.toISOString(),\n    56→      to: now.toISOString(),\n    57→    };\n    58→  }\n    59→\n    60→  /* Const Init */\n    61→  const { query: initq } = init();\n    62→  const client = getContextClient();\n    63→  const ccconfig = getContext(\"cc-config\");\n    64→  const sortOptions = [\n    65→    { key: \"totalWalltime\", label: \"Walltime\" },\n    66→    { key: \"totalNodeHours\", label: \"Node Hours\" },\n    67→    { key: \"totalCoreHours\", label: \"Core Hours\" },\n    68→    { key: \"totalAccHours\", label: \"Accelerator Hours\" },\n    69→  ];\n    70→  const groupOptions = [\n    71→    { key: \"user\", label: \"User Name\" },\n    72→    { key: \"project\", label: \"Project ID\" },\n    73→  ];\n    74→\n    75→  /* Var Init */\n    76→  let metricUnits = {};\n    77→  let metricScopes = {};\n    78→  let numBins = 50;\n    79→\n    80→  /* State Init */\n    81→  let filterComponent = $state(); // see why here: https://stackoverflow.com/questions/58287729/how-can-i-export-a-function-from-a-svelte-component-that-changes-a-value-in-the\n    82→  let cluster = $state({});\n    83→  let rooflineMaxY = $state(0);\n    84→  let maxY = $state(-1);\n    85→  let colWidth1 = $state(0);\n    86→  let colWidth2 = $state(0);\n    87→  let jobFilters = $state([]);\n    88→  let metricsInHistograms = $state(ccconfig?.analysisView_histogramMetrics || [])\n    89→  let metricsInScatterplots = $state(ccconfig?.analysisView_scatterPlotMetrics || [])\n    90→  let sortSelection = $state(\n    91→    sortOptions.find(\n    92→      (option) =>\n    93→        option.key ==\n    94→        ccconfig[`analysisView_selectedTopCategory:${filterPresets.cluster}`],\n    95→    ) || sortOptions[0]\n    96→  );\n    97→  let groupSelection = $state(\n    98→      groupOptions.find(\n    99→        (option) =>\n   100→          option.key ==\n   101→          ccconfig[`analysisView_selectedTopEntity:${filterPresets.cluster}`],\n   102→      ) || groupOptions[0]\n   103→  );\n   104→\n   105→  /* Init Function */\n   106→  getContext(\"on-init\")(({ data }) => {\n   107→    if (data != null) {\n   108→      cluster = data.clusters.find((c) => c.name == filterPresets.cluster);\n   109→      console.assert(\n   110→        cluster != null,\n   111→        `This cluster could not be found: ${filterPresets.cluster}`,\n   112→      );\n   113→\n   114→      rooflineMaxY = cluster.subClusters.reduce(\n   115→        (max, part) => Math.max(max, part.flopRateSimd.value),\n   116→        0,\n   117→      );\n   118→      maxY = rooflineMaxY;\n   119→    }\n   120→  });\n   121→\n   122→  /* Derived Vars */\n   123→  const clusterName = $derived(cluster?.name ? cluster.name : cluster);\n   124→  const availableMetrics = $derived(loadAvailable($initq?.data?.globalMetrics, clusterName));\n   125→  const metrics = $derived(\n   126→    [...new Set([...metricsInHistograms, ...metricsInScatterplots.flat()])]\n   127→  );\n   128→\n   129→  let statsQuery = $derived(\n   130→    queryStore({\n   131→      client: client,\n   132→      query: gql`\n   133→        query ($jobFilters: [JobFilter!]!) {\n   134→          stats: jobsStatistics(filter: $jobFilters) {\n   135→            totalJobs\n   136→            shortJobs\n   137→            totalWalltime\n   138→            totalNodeHours\n   139→            totalCoreHours\n   140→            totalAccHours\n   141→            histDuration {\n   142→              count\n   143→              value\n   144→            }\n   145→            histNumCores {\n   146→              count\n   147→              value\n   148→            }\n   149→          }\n   150→        }\n   151→      `,\n   152→      variables: { jobFilters },\n   153→    })\n   154→  );\n   155→\n   156→  let topQuery = $derived(\n   157→    queryStore({\n   158→      client: client,\n   159→      query: gql`\n   160→        query (\n   161→          $jobFilters: [JobFilter!]!\n   162→          $paging: PageRequest!\n   163→          $sortBy: SortByAggregate!\n   164→          $groupBy: Aggregate!\n   165→        ) {\n   166→          topList: jobsStatistics(\n   167→            filter: $jobFilters\n   168→            page: $paging\n   169→            sortBy: $sortBy\n   170→            groupBy: $groupBy\n   171→          ) {\n   172→            id\n   173→            name\n   174→            totalWalltime\n   175→            totalNodeHours\n   176→            totalCoreHours\n   177→            totalAccHours\n   178→          }\n   179→        }\n   180→      `,\n   181→      variables: {\n   182→        jobFilters,\n   183→        paging: { itemsPerPage: 10, page: 1 },\n   184→        sortBy: sortSelection.key.toUpperCase(),\n   185→        groupBy: groupSelection.key.toUpperCase(),\n   186→      },\n   187→    })\n   188→  );\n   189→\n   190→  // Note: Different footprints than those saved in DB per Job -> Caused by Legacy Naming\n   191→  let footprintsQuery = $derived(\n   192→    queryStore({\n   193→      client: client,\n   194→      query: gql`\n   195→        query ($jobFilters: [JobFilter!]!, $metrics: [String!]!) {\n   196→          footprints: jobsFootprints(filter: $jobFilters, metrics: $metrics) {\n   197→            timeWeights {\n   198→              nodeHours\n   199→              accHours\n   200→              coreHours\n   201→            }\n   202→            metrics {\n   203→              metric\n   204→              data\n   205→            }\n   206→          }\n   207→        }\n   208→      `,\n   209→      variables: { jobFilters, metrics },\n   210→    })\n   211→  );\n   212→\n   213→  let rooflineQuery = $derived(\n   214→    queryStore({\n   215→      client: client,\n   216→      query: gql`\n   217→        query (\n   218→          $jobFilters: [JobFilter!]!\n   219→          $rows: Int!\n   220→          $cols: Int!\n   221→          $minX: Float!\n   222→          $minY: Float!\n   223→          $maxX: Float!\n   224→          $maxY: Float!\n   225→        ) {\n   226→          rooflineHeatmap(\n   227→            filter: $jobFilters\n   228→            rows: $rows\n   229→            cols: $cols\n   230→            minX: $minX\n   231→            minY: $minY\n   232→            maxX: $maxX\n   233→            maxY: $maxY\n   234→          )\n   235→        }\n   236→      `,\n   237→      variables: {\n   238→        jobFilters,\n   239→        rows: 50,\n   240→        cols: 50,\n   241→        minX: 0.01,\n   242→        minY: 1,\n   243→        maxX: 1000,\n   244→        maxY,\n   245→      },\n   246→    })\n   247→  );\n   248→\n   249→  /* Reactive Effects */\n   250→  $effect(() => {\n   251→    loadUnitsAndScopes(availableMetrics.length, availableMetrics);\n   252→  });\n   253→  $effect(() => {\n   254→    updateEntityConfiguration(groupSelection.key);\n   255→  });\n   256→  $effect(() => {\n   257→    updateCategoryConfiguration(sortSelection.key);\n   258→  });\n   259→\n   260→  /* Functions */\n   261→  const updateConfigurationMutation = ({ name, value }) => {\n   262→    return mutationStore({\n   263→      client: client,\n   264→      query: gql`\n   265→        mutation ($name: String!, $value: String!) {\n   266→          updateConfiguration(name: $name, value: $value)\n   267→        }\n   268→      `,\n   269→      variables: { name, value },\n   270→    });\n   271→  };\n   272→\n   273→  function updateEntityConfiguration(select) {\n   274→    if (\n   275→      ccconfig[`analysisView_selectedTopEntity:${filterPresets.cluster}`] !=\n   276→      select\n   277→    ) {\n   278→      updateConfigurationMutation({\n   279→        name: `analysisView_selectedTopEntity:${filterPresets.cluster}`,\n   280→        value: JSON.stringify(select),\n   281→      }).subscribe((res) => {\n   282→        if (res.fetching === false && !res.error) {\n   283→          // console.log(`analysisView_selectedTopEntity:${filterPresets.cluster}` + ' -> Updated!')\n   284→        } else if (res.fetching === false && res.error) {\n   285→          throw res.error;\n   286→        }\n   287→      });\n   288→    } else {\n   289→      // console.log('No Mutation Required: Entity')\n   290→    }\n   291→  }\n   292→\n   293→  function updateCategoryConfiguration(select) {\n   294→    if (\n   295→      ccconfig[`analysisView_selectedTopCategory:${filterPresets.cluster}`] !=\n   296→      select\n   297→    ) {\n   298→      updateConfigurationMutation({\n   299→        name: `analysisView_selectedTopCategory:${filterPresets.cluster}`,\n   300→        value: JSON.stringify(select),\n   301→      }).subscribe((res) => {\n   302→        if (res.fetching === false && !res.error) {\n   303→          // console.log(`analysisView_selectedTopCategory:${filterPresets.cluster}` + ' -> Updated!')\n   304→        } else if (res.fetching === false && res.error) {\n   305→          throw res.error;\n   306→        }\n   307→      });\n   308→    } else {\n   309→      // console.log('No Mutation Required: Category')\n   310→    }\n   311→  }\n   312→\n   313→  function loadAvailable(globals, name) {\n   314→    const availableMetrics = new Set();\n   315→    if (globals && globals.length > 0) {\n   316→      for (let gm of globals) {\n   317→        if (gm.availability.find((av) => av.cluster == name)) {\n   318→          availableMetrics.add({name: gm.name, scope: gm.scope, unit: gm.unit});\n   319→        };\n   320→      }\n   321→    }\n   322→    return [...availableMetrics]\n   323→  };\n   324→\n   325→  function loadUnitsAndScopes(length, available) {\n   326→    for (let am of available) {\n   327→      metricUnits[am.name] = (am?.unit?.prefix ? am.unit.prefix : \"\") + (am?.unit?.base ? am.unit.base : \"\")\n   328→      metricScopes[am.name] = am?.scope\n   329→    }\n   330→  }\n   331→\n   332→  /* On Mount */\n   333→  onMount(() => filterComponent.updateFilters());\n   334→</script>\n   335→\n   336→<Row>\n   337→  {#if $initq.fetching || $statsQuery.fetching || $footprintsQuery.fetching}\n   338→    <Col xs=\"auto\">\n   339→      <Spinner />\n   340→    </Col>\n   341→  {/if}\n   342→  <Col xs=\"auto\" class=\"mb-2 mb-lg-0\">\n   343→    {#if $initq.error}\n   344→      <Card body color=\"danger\">{$initq.error.message}</Card>\n   345→    {:else if cluster}\n   346→      <PlotSelection\n   347→        availableMetrics={availableMetrics.map((av) => av.name)}\n   348→        presetMetricsInHistograms={metricsInHistograms}\n   349→        presetMetricsInScatterplots={metricsInScatterplots}\n   350→        applyHistograms={(metrics) => metricsInHistograms = [...metrics]}\n   351→        applyScatter={(metrics) => metricsInScatterplots = [...metrics]}\n   352→      />\n   353→    {/if}\n   354→  </Col>\n   355→  <Col xs=\"auto\">\n   356→    <Filters\n   357→      disableClusterSelection\n   358→      startTimeQuickSelect\n   359→      bind:this={filterComponent}\n   360→      {filterPresets}\n   361→      applyFilters={(detail) => {\n   362→        jobFilters = detail.filters;\n   363→      }}\n   364→    />\n   365→  </Col>\n   366→</Row>\n   367→\n   368→<br />\n   369→{#if $statsQuery.error}\n   370→  <Row>\n   371→    <Col>\n   372→      <Card body color=\"danger\">{$statsQuery.error.message}</Card>\n   373→    </Col>\n   374→  </Row>\n   375→{:else if $statsQuery.data}\n   376→  <Row cols={3} style=\"margin-bottom: 2rem;\">\n   377→    <Col>\n   378→      <Table>\n   379→        <tr>\n   380→          <th scope=\"col\">Total Jobs</th>\n   381→          <td>{$statsQuery.data.stats[0].totalJobs}</td>\n   382→        </tr>\n   383→        <tr>\n   384→          <th scope=\"col\">Short Jobs</th>\n   385→          <td>{$statsQuery.data.stats[0].shortJobs}</td>\n   386→        </tr>\n   387→        <tr>\n   388→          <th scope=\"col\">Total Walltime</th>\n   389→          <td>{$statsQuery.data.stats[0].totalWalltime}</td>\n   390→        </tr>\n   391→        <tr>\n   392→          <th scope=\"col\">Total Node Hours</th>\n   393→          <td>{$statsQuery.data.stats[0].totalNodeHours}</td>\n   394→        </tr>\n   395→        <tr>\n   396→          <th scope=\"col\">Total Core Hours</th>\n   397→          <td>{$statsQuery.data.stats[0].totalCoreHours}</td>\n   398→        </tr>\n   399→        <tr>\n   400→          <th scope=\"col\">Total Accelerator Hours</th>\n   401→          <td>{$statsQuery.data.stats[0].totalAccHours}</td>\n   402→        </tr>\n   403→      </Table>\n   404→    </Col>\n   405→    <Col>\n   406→      <div bind:clientWidth={colWidth1}>\n   407→        <h5>\n   408→          Top\n   409→          <select class=\"p-0\" bind:value={groupSelection}>\n   410→            {#each groupOptions as option}\n   411→              <option value={option}>\n   412→                {option.key.charAt(0).toUpperCase() + option.key.slice(1)}s\n   413→              </option>\n   414→            {/each}\n   415→          </select>\n   416→        </h5>\n   417→        {#key $topQuery.data}\n   418→          {#if $topQuery.fetching}\n   419→            <Spinner />\n   420→          {:else if $topQuery.error}\n   421→            <Card body color=\"danger\">{$topQuery.error.message}</Card>\n   422→          {:else}\n   423→            <Pie\n   424→              canvasId={`pie-${groupSelection.key}`}\n   425→              size={colWidth1 / 1.9}\n   426→              sliceLabel={sortSelection.label}\n   427→              quantities={$topQuery.data.topList.map(\n   428→                (t) => t[sortSelection.key],\n   429→              )}\n   430→              entities={$topQuery.data.topList.map((t) => scrambleNames ? scramble(t.id) : t.id)}\n   431→            />\n   432→          {/if}\n   433→        {/key}\n   434→      </div>\n   435→    </Col>\n   436→    <Col>\n   437→      {#key $topQuery.data}\n   438→        {#if $topQuery.fetching}\n   439→          <Spinner />\n   440→        {:else if $topQuery.error}\n   441→          <Card body color=\"danger\">{$topQuery.error.message}</Card>\n   442→        {:else}\n   443→          <Table>\n   444→            <tr class=\"mb-2\">\n   445→              <th>Legend</th>\n   446→              <th>{groupSelection.label}</th>\n   447→              <th>\n   448→                <select class=\"p-0\" bind:value={sortSelection}>\n   449→                  {#each sortOptions as option}\n   450→                    <option value={option}>\n   451→                      {option.label}\n   452→                    </option>\n   453→                  {/each}\n   454→                </select>\n   455→              </th>\n   456→            </tr>\n   457→            {#each $topQuery.data.topList as te, i}\n   458→              <tr>\n   459→                <td><Icon name=\"circle-fill\" style=\"color: {colors['colorblind'][i]};\" /></td>\n   460→                {#if groupSelection.key == \"user\"}\n   461→                  <th scope=\"col\" id=\"topName-{te.id}\"\n   462→                    ><a href=\"/monitoring/user/{te.id}?cluster={clusterName}\"\n   463→                      >{scrambleNames ? scramble(te.id) : te.id}</a\n   464→                    ></th\n   465→                  >\n   466→                  {#if te?.name}\n   467→                    <Tooltip\n   468→                      target={`topName-${te.id}`}\n   469→                      placement=\"left\"\n   470→                      >{scrambleNames ? scramble(te.name) : te.name}</Tooltip\n   471→                    >\n   472→                  {/if}\n   473→                {:else}\n   474→                  <th scope=\"col\"\n   475→                    ><a\n   476→                      href=\"/monitoring/jobs/?cluster={clusterName}&project={te.id}&projectMatch=eq\"\n   477→                      >{scrambleNames ? scramble(te.id) : te.id}</a\n   478→                    ></th\n   479→                  >\n   480→                {/if}\n   481→                <td>{te[sortSelection.key]}</td>\n   482→              </tr>\n   483→            {/each}\n   484→          </Table>\n   485→        {/if}\n   486→      {/key}\n   487→    </Col>\n   488→  </Row>\n   489→  <Row cols={3} class=\"mb-2\">\n   490→    <Col>\n   491→      {#if $rooflineQuery.fetching}\n   492→        <Spinner />\n   493→      {:else if $rooflineQuery.error}\n   494→        <Card body color=\"danger\">{$rooflineQuery.error.message}</Card>\n   495→      {:else if $rooflineQuery.data && cluster}\n   496→        <div class=\"d-flex justify-content-center align-baseline\">\n   497→          <h5>Job Roofline Heatmap</h5>\n   498→          <Icon\n   499→            style=\"cursor:help; margin-left:0.5rem;\"\n   500→            name=\"info-circle\"\n   501→            title=\"Most Populated Areas By Selected Jobs' Average Values\"\n   502→          />\n   503→        </div>\n   504→        <div bind:clientWidth={colWidth2}>\n   505→          {#key $rooflineQuery.data}\n   506→            <RooflineHeatmap\n   507→              width={colWidth2}\n   508→              height={280}\n   509→              tiles={$rooflineQuery.data.rooflineHeatmap}\n   510→              subCluster={cluster.subClusters.length >= 1\n   511→                ? cluster.subClusters[0]\n   512→                : null}\n   513→              maxY={rooflineMaxY}\n   514→            />\n   515→          {/key}\n   516→        </div>\n   517→      {/if}\n   518→    </Col>\n   519→    <Col>\n   520→      {#key $statsQuery.data.stats[0].histDuration}\n   521→        <Histogram\n   522→          height={300}\n   523→          data={convert2uplot($statsQuery.data.stats[0].histDuration)}\n   524→          title=\"Duration Distribution\"\n   525→          xlabel=\"Current Job Runtimes\"\n   526→          xunit=\"Runtime\"\n   527→          ylabel=\"Number of Jobs\"\n   528→          yunit=\"Jobs\"\n   529→          usesBins\n   530→          xtime\n   531→        />\n   532→      {/key}\n   533→    </Col>\n   534→    <Col>\n   535→      {#key $statsQuery.data.stats[0].histNumCores}\n   536→        <Histogram\n   537→          height={300}\n   538→          data={convert2uplot($statsQuery.data.stats[0].histNumCores)}\n   539→          title=\"Number of Cores Distribution\"\n   540→          xlabel=\"Allocated Cores\"\n   541→          xunit=\"Cores\"\n   542→          ylabel=\"Number of Jobs\"\n   543→          yunit=\"Jobs\"\n   544→        />\n   545→      {/key}\n   546→    </Col>\n   547→  </Row>\n   548→{/if}\n   549→\n   550→<hr class=\"my-6\" />\n   551→\n   552→{#if $footprintsQuery.error}\n   553→  <Row>\n   554→    <Col>\n   555→      <Card body color=\"danger\">{$footprintsQuery.error.message}</Card>\n   556→    </Col>\n   557→  </Row>\n   558→{:else if $footprintsQuery.data && $initq.data}\n   559→  <Row>\n   560→    <Col>\n   561→      <Card body>\n   562→        These histograms show the distribution of the averages of all jobs\n   563→        matching the filters. Each job/average is weighted by its node hours by\n   564→        default (Accelerator hours for native accelerator scope metrics,\n   565→        coreHours for native core scope metrics). Note that some metrics could\n   566→        be disabled for specific subclusters as per metricConfig and thus could\n   567→        affect shown average values.\n   568→      </Card>\n   569→      <br />\n   570→    </Col>\n   571→  </Row>\n   572→  <Row>\n   573→    <Col>\n   574→      <!-- Note: Ignore '#snippet' Error in IDE -->\n   575→      {#snippet histoGridContent(item)}\n   576→        <Histogram\n   577→          usesBins\n   578→          data={convert2uplot(item.bins)}\n   579→          title=\"Average Distribution of '{item.metric}'\"\n   580→          xlabel={`${item.metric} bin maximum [${metricUnits[item.metric]}]`}\n   581→          xunit={`${metricUnits[item.metric]}`}\n   582→          ylabel=\"Normalized Hours\"\n   583→          yunit=\"Hours\"\n   584→        />\n   585→      {/snippet}\n   586→\n   587→      <PlotGrid\n   588→        items={metricsInHistograms.map((metric) => ({\n   589→          metric,\n   590→          ...binsFromFootprint(\n   591→            $footprintsQuery.data.footprints.timeWeights,\n   592→            metricScopes[metric],\n   593→            $footprintsQuery.data.footprints.metrics.find(\n   594→              (f) => f.metric == metric,\n   595→            ).data,\n   596→            numBins,\n   597→          ),\n   598→        }))}\n   599→        itemsPerRow={ccconfig.plotConfiguration_plotsPerRow}\n   600→        gridContent={histoGridContent}\n   601→      />\n   602→    </Col>\n   603→  </Row>\n   604→  <br />\n   605→  <Row>\n   606→    <Col>\n   607→      <Card body>\n   608→        Each circle represents one job. The size of a circle is proportional to\n   609→        its node hours. Darker circles mean multiple jobs have the same averages\n   610→        for the respective metrics. Note that some metrics could be disabled for\n   611→        specific subclusters as per metricConfig and thus could affect shown\n   612→        average values.\n   613→      </Card>\n   614→      <br />\n   615→    </Col>\n   616→  </Row>\n   617→  <Row>\n   618→    <Col>\n   619→      {#snippet metricsGridContent(item)}\n   620→        <ScatterPlot\n   621→          height={250}\n   622→          color={\"rgba(0, 102, 204, 0.33)\"}\n   623→          xLabel={`${item.m1} [${metricUnits[item.m1]}]`}\n   624→          yLabel={`${item.m2} [${metricUnits[item.m2]}]`}\n   625→          X={item.f1}\n   626→          Y={item.f2}\n   627→          S={$footprintsQuery.data.footprints.timeWeights.nodeHours}\n   628→        />\n   629→      {/snippet}\n   630→\n   631→      <PlotGrid\n   632→        items={metricsInScatterplots.map(([m1, m2]) => ({\n   633→          m1,\n   634→          f1: $footprintsQuery.data.footprints.metrics.find(\n   635→            (f) => f.metric == m1,\n   636→          ).data,\n   637→          m2,\n   638→          f2: $footprintsQuery.data.footprints.metrics.find(\n   639→            (f) => f.metric == m2,\n   640→          ).data,\n   641→        }))}\n   642→        itemsPerRow={ccconfig.plotConfiguration_plotsPerRow}\n   643→        gridContent={metricsGridContent}\n   644→      />\n   645→    </Col>\n   646→  </Row>\n   647→{/if}\n   648→\n   649→<style>\n   650→  h5 {\n   651→    text-align: center;\n   652→  }\n   653→</style>\n   654→"}]},"uuid":"c2d836fd-5427-4bda-af46-6536174673e3","timestamp":"2026-03-19T10:06:45.059Z"},"type":"agent_progress","prompt":"","agentId":"a2a88d9a86878e95a"},"toolUseID":"agent_msg_01NT7Y6xRphTYtrGUnJvRP2E","parentToolUseID":"toolu_01KyvAFfwW2mG4XmwNcuYhKu","uuid":"56c15e07-9f97-4e5c-bfd4-26fe8fc41d83","timestamp":"2026-03-19T10:06:45.060Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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+{"parentUuid":"f79010bb-fbbc-4e84-8de6-4d90774df605","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018smE7UmaqQCPLqfgiWYAhD","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package graph\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"fmt\"\n    11→\t\"slices\"\n    12→\t\"sync\"\n    13→\n    14→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    15→)\n    16→\n    17→// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n    18→// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n    19→// frontend requests multiple sort/page slices of the same underlying data\n    20→// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\n    21→type statsGroupCache struct {\n    22→\tmu      sync.Mutex\n    23→\tentries map[string]*cacheEntry\n    24→}\n    25→\n    26→type cacheEntry struct {\n    27→\tonce   sync.Once\n    28→\tresult []*model.JobsStatistics\n    29→\terr    error\n    30→}\n    31→\n    32→type ctxKey int\n    33→\n    34→const statsGroupCacheKey ctxKey = iota\n    35→\n    36→// newStatsGroupCache creates a new empty cache.\n    37→func newStatsGroupCache() *statsGroupCache {\n    38→\treturn &statsGroupCache{\n    39→\t\tentries: make(map[string]*cacheEntry),\n    40→\t}\n    41→}\n    42→\n    43→// WithStatsGroupCache injects a new cache into the context.\n    44→func WithStatsGroupCache(ctx context.Context) context.Context {\n    45→\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n    46→}\n    47→\n    48→// getStatsGroupCache retrieves the cache from context, or nil if absent.\n    49→func getStatsGroupCache(ctx context.Context) *statsGroupCache {\n    50→\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n    51→\t\treturn c\n    52→\t}\n    53→\treturn nil\n    54→}\n    55→\n    56→// cacheKey builds a deterministic string key from filter + groupBy + reqFields.\n    57→func statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate, reqFields map[string]bool) string {\n    58→\treturn fmt.Sprintf(\"%v|%v|%v\", filter, *groupBy, reqFields)\n    59→}\n    60→\n    61→// getOrCompute returns cached results for the given key, computing them on\n    62→// first access via the provided function.\n    63→func (c *statsGroupCache) getOrCompute(\n    64→\tkey string,\n    65→\tcompute func() ([]*model.JobsStatistics, error),\n    66→) ([]*model.JobsStatistics, error) {\n    67→\tc.mu.Lock()\n    68→\tentry, ok := c.entries[key]\n    69→\tif !ok {\n    70→\t\tentry = &cacheEntry{}\n    71→\t\tc.entries[key] = entry\n    72→\t}\n    73→\tc.mu.Unlock()\n    74→\n    75→\tentry.once.Do(func() {\n    76→\t\tentry.result, entry.err = compute()\n    77→\t})\n    78→\treturn entry.result, entry.err\n    79→}\n    80→\n    81→// sortAndPageStats sorts a copy of allStats by the given sortBy field (descending)\n    82→// and returns the requested page slice.\n    83→func sortAndPageStats(allStats []*model.JobsStatistics, sortBy *model.SortByAggregate, page *model.PageRequest) []*model.JobsStatistics {\n    84→\t// Work on a shallow copy so the cached slice order is not mutated.\n    85→\tsorted := make([]*model.JobsStatistics, len(allStats))\n    86→\tcopy(sorted, allStats)\n    87→\n    88→\tif sortBy != nil {\n    89→\t\tgetter := statsFieldGetter(*sortBy)\n    90→\t\tslices.SortFunc(sorted, func(a, b *model.JobsStatistics) int {\n    91→\t\t\treturn getter(b) - getter(a) // descending\n    92→\t\t})\n    93→\t}\n    94→\n    95→\tif page != nil && page.ItemsPerPage != -1 {\n    96→\t\tstart := (page.Page - 1) * page.ItemsPerPage\n    97→\t\tif start >= len(sorted) {\n    98→\t\t\treturn nil\n    99→\t\t}\n   100→\t\tend := start + page.ItemsPerPage\n   101→\t\tif end > len(sorted) {\n   102→\t\t\tend = len(sorted)\n   103→\t\t}\n   104→\t\tsorted = sorted[start:end]\n   105→\t}\n   106→\n   107→\treturn sorted\n   108→}\n   109→\n   110→// statsFieldGetter returns a function that extracts the sortable int field\n   111→// from a JobsStatistics struct for the given sort key.\n   112→func statsFieldGetter(sortBy model.SortByAggregate) func(*model.JobsStatistics) int {\n   113→\tswitch sortBy {\n   114→\tcase model.SortByAggregateTotaljobs:\n   115→\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n   116→\tcase model.SortByAggregateTotalusers:\n   117→\t\treturn func(s *model.JobsStatistics) int { return s.TotalUsers }\n   118→\tcase model.SortByAggregateTotalwalltime:\n   119→\t\treturn func(s *model.JobsStatistics) int { return s.TotalWalltime }\n   120→\tcase model.SortByAggregateTotalnodes:\n   121→\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodes }\n   122→\tcase model.SortByAggregateTotalnodehours:\n   123→\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodeHours }\n   124→\tcase model.SortByAggregateTotalcores:\n   125→\t\treturn func(s *model.JobsStatistics) int { return s.TotalCores }\n   126→\tcase model.SortByAggregateTotalcorehours:\n   127→\t\treturn func(s *model.JobsStatistics) int { return s.TotalCoreHours }\n   128→\tcase model.SortByAggregateTotalaccs:\n   129→\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccs }\n   130→\tcase model.SortByAggregateTotalacchours:\n   131→\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccHours }\n   132→\tdefault:\n   133→\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n   134→\t}\n   135→}\n   136→"}]},"uuid":"e61389e0-edee-43d4-b0b7-ed1933eb0979","timestamp":"2026-03-19T10:06:47.342Z"},"type":"agent_progress","prompt":"","agentId":"a2a88d9a86878e95a"},"toolUseID":"agent_msg_01NT7Y6xRphTYtrGUnJvRP2E","parentToolUseID":"toolu_01KyvAFfwW2mG4XmwNcuYhKu","uuid":"23480e5b-728a-43f6-9305-0642159e23d0","timestamp":"2026-03-19T10:06:47.344Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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+{"parentUuid":"8527b9e0-a442-4e8b-9116-acee525669dc","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EbF7qXHWbSDqHLSC6cE13L","type":"tool_result","content":"     1→<!--\n     2→  @component Main component for listing users or projects\n     3→\n     4→  Properties:\n     5→  - `type String?`: The type of list ['USER' || 'PROJECT']\n     6→  - `filterPresets Object?`: Optional predefined filter values [Default: {}]\n     7→-->\n     8→\n     9→<script>\n    10→  import { getContext, onMount } from \"svelte\";\n    11→  import {\n    12→    Row,\n    13→    Col,\n    14→    Button,\n    15→    Icon,\n    16→    Table,\n    17→    Card,\n    18→    Spinner,\n    19→    InputGroup,\n    20→    Input,\n    21→    Tooltip\n    22→  } from \"@sveltestrap/sveltestrap\";\n    23→  import {\n    24→    queryStore,\n    25→    gql,\n    26→    getContextClient,\n    27→  } from \"@urql/svelte\";\n    28→  import {\n    29→    init,\n    30→    scramble,\n    31→    scrambleNames,\n    32→  } from \"./generic/utils.js\";\n    33→  import {\n    34→    formatDurationTime\n    35→  } from \"./generic/units.js\";\n    36→  import Filters from \"./generic/Filters.svelte\";\n    37→  import Pagination from \"./generic/joblist/Pagination.svelte\";\n    38→\n    39→  /* Svelte 5 Props */\n    40→  let {\n    41→    type,\n    42→    filterPresets\n    43→  } = $props();\n    44→\n    45→  /* Const Init */\n    46→  const {} = init();\n    47→  const client = getContextClient();\n    48→  const shortDuration = getContext(\"cc-config\").jobList_hideShortRunningJobs; // Always configured\n    49→\n    50→  /* State Init*/\n    51→  let filterComponent = $state(); // see why here: https://stackoverflow.com/questions/58287729/how-can-i-export-a-function-from-a-svelte-component-that-changes-a-value-in-the\n    52→  let jobFilters = $state([]);\n    53→  let nameFilter = $state(\"\");\n    54→  let sorting = $state({ field: \"totalJobs\", direction: \"desc\" });\n    55→  let page = $state(1);\n    56→  let itemsPerPage = $state(25);\n    57→\n    58→  /* Derived Vars */\n    59→  const fetchRunning = $derived(jobFilters.some(jf => jf?.state?.length == 1 && jf?.state?.includes(\"running\")));\n    60→  const numCols = $derived.by(() => {\n    61→    let colbase = 6\n    62→    if (fetchRunning) {\n    63→      colbase += 2\n    64→    }\n    65→    return colbase\n    66→  })\n    67→  const sortedRows = $derived(\n    68→    $stats.data ? sort($stats.data.rows, sorting, nameFilter) : []\n    69→  );\n    70→  const paginatedRows = $derived(\n    71→    sortedRows.slice((page - 1) * itemsPerPage, page * itemsPerPage)\n    72→  );\n    73→\n    74→  /* Reset page when sorting or filter changes */\n    75→  $effect(() => { sorting; nameFilter; page = 1; });\n    76→\n    77→  let stats = $derived(\n    78→    queryStore({\n    79→      client: client,\n    80→      query: gql`\n    81→        query($jobFilters: [JobFilter!]!, $fetchRunning: Boolean!) {\n    82→          rows: jobsStatistics(filter: $jobFilters, groupBy: ${type}) {\n    83→            id\n    84→            name\n    85→            totalJobs\n    86→            shortJobs\n    87→            totalCores @include(if: $fetchRunning)\n    88→            totalAccs @include(if: $fetchRunning)\n    89→            totalWalltime\n    90→            totalCoreHours\n    91→            totalAccHours\n    92→          }\n    93→        }`,\n    94→      variables: {\n    95→        jobFilters,\n    96→        fetchRunning\n    97→      },\n    98→    })\n    99→  );\n   100→\n   101→  /* Functions */\n   102→  function exportCsv() {\n   103→    const isUser = type === \"USER\";\n   104→    const header = [\n   105→      isUser ? \"Username\" : \"Project\",\n   106→      ...(isUser ? [\"Name\"] : []),\n   107→      \"Total Jobs\",\n   108→      \"Short Jobs\",\n   109→      ...(fetchRunning ? [\"Total Cores\", \"Total Accelerators\"] : []),\n   110→      \"Total Walltime\",\n   111→      \"Total Core Hours\",\n   112→      \"Total Accelerator Hours\",\n   113→    ];\n   114→    const rows = sortedRows.map((row) => [\n   115→      row.id,\n   116→      ...(isUser ? [row?.name ?? \"\"] : []),\n   117→      row.totalJobs,\n   118→      row.shortJobs,\n   119→      ...(fetchRunning ? [row.totalCores, row.totalAccs] : []),\n   120→      row.totalWalltime,\n   121→      row.totalCoreHours,\n   122→      row.totalAccHours,\n   123→    ]);\n   124→    const csv = [header, ...rows]\n   125→      .map((row) => row.map((v) => `\"${String(v ?? \"\").replace(/\"/g, '\"\"')}\"`).join(\",\"))\n   126→      .join(\"\\n\");\n   127→    const blob = new Blob([csv], { type: \"text/csv\" });\n   128→    const url = URL.createObjectURL(blob);\n   129→    const a = document.createElement(\"a\");\n   130→    a.href = url;\n   131→    a.download = `${type.toLowerCase()}s.csv`;\n   132→    a.click();\n   133→    URL.revokeObjectURL(url);\n   134→  }\n   135→\n   136→  function changeSorting(newField) {\n   137→    if (sorting.field == newField) {\n   138→      // Same Field, Change Direction\n   139→      sorting = { field: newField, direction: sorting.direction == \"desc\" ? \"asc\" : \"desc\" };\n   140→    } else {\n   141→      // Change Field, Apply Default Direction\n   142→      sorting = { field: newField, direction: \"desc\" };\n   143→    }\n   144→  }\n   145→\n   146→  function sort(stats, sorting, nameFilter) {\n   147→    const idCmp = sorting.direction == \"asc\"\n   148→      ? (a, b) => b.id.localeCompare(a.id)\n   149→      : (a, b) => a.id.localeCompare(b.id)\n   150→\n   151→    // Force empty or undefined strings to the end of the list\n   152→    const nameCmp = sorting.direction == \"asc\"\n   153→      ? (a, b) => !a?.name ? 1 : (!b?.name ? -1 : (b.name.localeCompare(a.name)))\n   154→      : (a, b) => !a?.name ? 1 : (!b?.name ? -1 : (a.name.localeCompare(b.name)))\n   155→\n   156→    const intCmp = sorting.direction == \"asc\"\n   157→      ? (a, b) => a[sorting.field] - b[sorting.field]\n   158→      : (a, b) => b[sorting.field] - a[sorting.field];\n   159→\n   160→    if (sorting.field == \"id\") {\n   161→      return stats.filter((u) => u.id.includes(nameFilter)).sort(idCmp)\n   162→    } else if (sorting.field == \"name\") {\n   163→      return stats.filter((u) => u.id.includes(nameFilter)).sort(nameCmp)\n   164→    } else {\n   165→      return stats.filter((u) => u.id.includes(nameFilter)).sort(intCmp)\n   166→    }\n   167→  }\n   168→\n   169→  /* On Mount */\n   170→  onMount(() => filterComponent.updateFilters());\n   171→</script>\n   172→\n   173→<Row cols={{ xs: 1, md: 2}}>\n   174→  <Col xs=\"12\" md=\"5\" lg=\"4\" xl=\"3\" class=\"mb-2 mb-md-0\">\n   175→    <InputGroup>\n   176→      <Button disabled outline>\n   177→        Search {type.toLowerCase()}s\n   178→      </Button>\n   179→      <Input\n   180→        bind:value={nameFilter}\n   181→        placeholder=\"Filter by {{\n   182→          USER: 'username',\n   183→          PROJECT: 'project',\n   184→        }[type]}\"\n   185→      />\n   186→      <Button\n   187→        color=\"success\"\n   188→        title=\"Export current view as CSV\"\n   189→        disabled={!$stats.data}\n   190→        onclick={() => exportCsv()}\n   191→      >\n   192→        <Icon name=\"download\" /> CSV\n   193→      </Button>\n   194→    </InputGroup>\n   195→  </Col>\n   196→  <Col xs=\"12\" md=\"7\" lg=\"8\" xl=\"9\">\n   197→    <Filters\n   198→      startTimeQuickSelect\n   199→      bind:this={filterComponent}\n   200→      {filterPresets}\n   201→      menuText=\"Only {type.toLowerCase()}s with matching jobs will be displayed.\"\n   202→      applyFilters={(detail) => {\n   203→        jobFilters = detail.filters;\n   204→      }}\n   205→    />\n   206→  </Col>\n   207→</Row>\n   208→<Table>\n   209→  <thead>\n   210→    <tr>\n   211→      <th scope=\"col\">\n   212→        {#if type === 'USER'}\n   213→          Username\n   214→        {:else if type === 'PROJECT'}\n   215→          Project Name\n   216→        {/if}\n   217→        <Button\n   218→          color={sorting.field == \"id\" ? \"primary\" : \"light\"}\n   219→          size=\"sm\"\n   220→          onclick={() => changeSorting(\"id\")}\n   221→        >\n   222→          {#if sorting?.field == \"id\"}\n   223→            <!-- Note on Icon-Name: Arrow-indicator always down, only alpha-indicator switches -->\n   224→            <Icon name={`sort-alpha-${sorting?.direction == 'desc' ? 'down' : 'down-alt'}`} />\n   225→          {:else}\n   226→            <Icon name=\"three-dots-vertical\" />\n   227→          {/if}\n   228→        </Button>\n   229→      </th>\n   230→      {#if type == \"USER\"}\n   231→        <th scope=\"col\">\n   232→          Name\n   233→          <Button\n   234→            color={sorting.field == \"name\" ? \"primary\" : \"light\"}\n   235→            size=\"sm\"\n   236→            onclick={() => changeSorting(\"name\")}\n   237→          >\n   238→            {#if sorting?.field == \"name\"}\n   239→              <Icon name={`sort-alpha-${sorting?.direction == 'desc' ? 'down' : 'down-alt'}`} />\n   240→            {:else}\n   241→              <Icon name=\"three-dots-vertical\" />\n   242→            {/if}\n   243→          </Button>\n   244→        </th>\n   245→      {/if}\n   246→      <th scope=\"col\">\n   247→        Total Jobs\n   248→        <Button\n   249→          color={sorting.field == \"totalJobs\" ? \"primary\" : \"light\"}\n   250→          size=\"sm\"\n   251→          onclick={() => changeSorting(\"totalJobs\")}\n   252→        >\n   253→          {#if sorting?.field == \"totalJobs\"}\n   254→            <!-- Note on Icon-Name: Arrow-indicator always down, only numeric-indicator switches -->\n   255→            <Icon name={`sort-numeric-${sorting?.direction == 'desc' ? 'down-alt' : 'down'}`} />\n   256→          {:else}\n   257→            <Icon name=\"three-dots-vertical\" />\n   258→          {/if}\n   259→        </Button>\n   260→      </th>\n   261→      <th scope=\"col\">\n   262→        <span class=\"mr-1\">\n   263→          Short Jobs\n   264→          <Icon id=\"shortjobs-info\" style=\"cursor:help;\" size=\"sm\" name=\"info-circle\"/>\n   265→        </span>\n   266→        <Tooltip target={`shortjobs-info`} placement=\"top\">\n   267→          Job duration less than {formatDurationTime(shortDuration)}\n   268→        </Tooltip>\n   269→        &#8239; <!-- Narrow Non-Breaking Space -->\n   270→        <Button\n   271→          color={sorting.field == \"shortJobs\" ? \"primary\" : \"light\"}\n   272→          size=\"sm\"\n   273→          onclick={() => changeSorting(\"shortJobs\")}\n   274→        >\n   275→          {#if sorting?.field == \"shortJobs\"}\n   276→            <!-- Note on Icon-Name: Arrow-indicator always down, only numeric-indicator switches -->\n   277→            <Icon name={`sort-numeric-${sorting?.direction == 'desc' ? 'down-alt' : 'down'}`} />\n   278→          {:else}\n   279→            <Icon name=\"three-dots-vertical\" />\n   280→          {/if}\n   281→        </Button>\n   282→      </th>\n   283→      {#if fetchRunning}\n   284→        <th scope=\"col\">\n   285→          Total Cores\n   286→          <Button\n   287→            color={sorting.field == \"totalCores\" ? \"primary\" : \"light\"}\n   288→            size=\"sm\"\n   289→            onclick={() => changeSorting(\"totalCores\")}\n   290→          >\n   291→            {#if sorting?.field == \"totalJCores\"}\n   292→              <!-- Note on Icon-Name: Arrow-indicator always down, only numeric-indicator switches -->\n   293→              <Icon name={`sort-numeric-${sorting?.direction == 'desc' ? 'down-alt' : 'down'}`} />\n   294→            {:else}\n   295→              <Icon name=\"three-dots-vertical\" />\n   296→            {/if}\n   297→          </Button>\n   298→        </th>\n   299→        <th scope=\"col\">\n   300→          Total Accelerators"}]},"uuid":"56fd7f12-444f-4fee-a5f8-73ecbb3a34b9","timestamp":"2026-03-19T10:06:49.519Z"},"type":"agent_progress","prompt":"","agentId":"a2a88d9a86878e95a"},"toolUseID":"agent_msg_01NT7Y6xRphTYtrGUnJvRP2E","parentToolUseID":"toolu_01KyvAFfwW2mG4XmwNcuYhKu","uuid":"5df2a5c6-041f-45e8-9923-ab7c48b5a4c5","timestamp":"2026-03-19T10:06:49.609Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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+{"parentUuid":"c48c980f-d0dd-4925-add4-c0dfa0f284ec","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SFZnPCVuCLuA4yZJKb7kqt","type":"tool_result","content":"     1→<!--\n     2→  @component Main user jobs list display component; displays job list and additional information for a given user\n     3→\n     4→  Properties:\n     5→  - `user Object`: The GraphQL user object\n     6→  - `filterPresets Object`: Optional predefined filter values\n     7→-->\n     8→\n     9→<script>\n    10→  import { untrack, onMount, getContext } from \"svelte\";\n    11→  import {\n    12→    Table,\n    13→    Row,\n    14→    Col,\n    15→    Button,\n    16→    ButtonGroup,\n    17→    Icon,\n    18→    Card,\n    19→    Spinner,\n    20→    Input,\n    21→    InputGroup,\n    22→    InputGroupText,\n    23→    Tooltip\n    24→  } from \"@sveltestrap/sveltestrap\";\n    25→  import {\n    26→    queryStore,\n    27→    gql,\n    28→    getContextClient,\n    29→  } from \"@urql/svelte\";\n    30→  import {\n    31→    init,\n    32→    convert2uplot,\n    33→    scramble,\n    34→    scrambleNames,\n    35→  } from \"./generic/utils.js\";\n    36→  import {\n    37→    formatNumber,\n    38→    formatDurationTime\n    39→  } from \"./generic/units.js\";\n    40→  import JobList from \"./generic/JobList.svelte\";\n    41→  import JobCompare from \"./generic/JobCompare.svelte\";\n    42→  import Filters from \"./generic/Filters.svelte\";\n    43→  import PlotGrid from \"./generic/PlotGrid.svelte\";\n    44→  import Histogram from \"./generic/plots/Histogram.svelte\";\n    45→  import MetricSelection from \"./generic/select/MetricSelection.svelte\";\n    46→  import HistogramSelection from \"./generic/select/HistogramSelection.svelte\";\n    47→  import Sorting from \"./generic/select/SortSelection.svelte\";\n    48→  import TextFilter from \"./generic/helper/TextFilter.svelte\"\n    49→  import Refresher from \"./generic/helper/Refresher.svelte\";\n    50→\n    51→  /* Svelte 5 Props */\n    52→  let {\n    53→    user,\n    54→    filterPresets \n    55→  } = $props();\n    56→\n    57→  /* Const Init */\n    58→  const { query: initq } = init();\n    59→  const client = getContextClient();\n    60→  const durationBinOptions = [\"1m\",\"10m\",\"1h\",\"6h\",\"12h\"];\n    61→  const metricBinOptions = [10, 20, 50, 100];\n    62→  const matchedJobCompareLimit = 500;\n    63→\n    64→  /* State Init */\n    65→  // List & Control Vars\n    66→  let filterComponent = $state(); // see why here: https://stackoverflow.com/questions/58287729/how-can-i-export-a-function-from-a-svelte-component-that-changes-a-value-in-the\n    67→  let jobFilters = $state([]);\n    68→  let filterBuffer = $state([]);\n    69→  let jobList = $state(null);\n    70→  let matchedListJobs = $state(0);\n    71→  let isSortingOpen = $state(false);\n    72→  let isMetricsSelectionOpen = $state(false);\n    73→  let sorting = $state({ field: \"startTime\", type: \"col\", order: \"DESC\" });\n    74→  let jobCompare = $state(null);\n    75→  let matchedCompareJobs = $state(0);\n    76→  let showCompare = $state(false);\n    77→  let selectedJobs = $state([]);\n    78→\n    79→  // Histogram Vars\n    80→  let isHistogramSelectionOpen = $state(false);\n    81→  let numDurationBins = $state(\"1h\");\n    82→  let numMetricBins = $state(10);\n    83→\n    84→  /* Derived Init Return */\n    85→  const thisInit = $derived($initq?.data ? true : false);\n    86→\n    87→  /* Derived */\n    88→  const ccconfig = $derived(thisInit ? getContext(\"cc-config\") : null);\n    89→  const globalMetrics = $derived(thisInit ? getContext(\"globalMetrics\") : null);\n    90→  const shortDuration = $derived(ccconfig?.jobList_hideShortRunningJobs);\n    91→  let selectedCluster = $derived(filterPresets?.cluster ? filterPresets.cluster : null);\n    92→  let selectedSubCluster = $derived(filterPresets?.partition ? filterPresets.partition : null);\n    93→  let metrics = $derived.by(() => {\n    94→    if (thisInit && ccconfig) {\n    95→      if (selectedCluster) {\n    96→        if (selectedSubCluster) {\n    97→          return ccconfig[`metricConfig_jobListMetrics:${selectedCluster}:${selectedSubCluster}`] ||\n    98→            ccconfig[`metricConfig_jobListMetrics:${selectedCluster}`] ||\n    99→            ccconfig.metricConfig_jobListMetrics\n   100→        }\n   101→        return ccconfig[`metricConfig_jobListMetrics:${selectedCluster}`] ||\n   102→          ccconfig.metricConfig_jobListMetrics\n   103→      }\n   104→      return ccconfig.metricConfig_jobListMetrics\n   105→    }\n   106→    return [];\n   107→  });\n   108→\n   109→  let showFootprint = $derived((thisInit && ccconfig)\n   110→    ? filterPresets?.cluster\n   111→      ? ccconfig[`jobList_showFootprint:${filterPresets.cluster}`]\n   112→      : ccconfig.jobList_showFootprint\n   113→    : {}\n   114→  );\n   115→\n   116→  let selectedHistograms = $derived.by(() => {\n   117→    if (thisInit && ccconfig) {\n   118→      if (selectedCluster) {\n   119→        return ccconfig[`userView_histogramMetrics:${selectedCluster}`] // No Fallback; Unspecific lists an include unavailable metrics\n   120→      }\n   121→      return ccconfig.userView_histogramMetrics\n   122→    }\n   123→    return []\n   124→  });\n   125→\n   126→  let stats = $derived(\n   127→    queryStore({\n   128→      client: client,\n   129→      query: gql`\n   130→        query ($jobFilters: [JobFilter!]!, $selectedHistograms: [String!], $numDurationBins: String, $numMetricBins: Int) {\n   131→          jobsStatistics(filter: $jobFilters, metrics: $selectedHistograms, numDurationBins: $numDurationBins , numMetricBins: $numMetricBins ) {\n   132→            totalJobs\n   133→            shortJobs\n   134→            totalWalltime\n   135→            totalCoreHours\n   136→            totalAccHours\n   137→            histDuration {\n   138→              count\n   139→              value\n   140→            }\n   141→            histNumNodes {\n   142→              count\n   143→              value\n   144→            }\n   145→            histMetrics {\n   146→              metric\n   147→              unit\n   148→              stat\n   149→              data {\n   150→                min\n   151→                max\n   152→                count\n   153→                bin\n   154→              }\n   155→            }\n   156→          }\n   157→        }\n   158→      `,\n   159→      variables: { jobFilters, selectedHistograms, numDurationBins, numMetricBins },\n   160→    })\n   161→  );\n   162→  const hasAccHours = $derived(($stats?.data?.jobsStatistics[0]?.totalAccHours || 0) != 0);\n   163→\n   164→  /* Functions */\n   165→  function resetJobSelection() {\n   166→    if (filterComponent && selectedJobs.length === 0) {\n   167→      filterComponent.updateFilters({ dbId: [] });\n   168→    };\n   169→  };\n   170→\n   171→  /* Reactive Effects */\n   172→  $effect(() => {\n   173→    // Reactive : Trigger Effect\n   174→    selectedJobs.length\n   175→    untrack(() => {\n   176→      // Unreactive : Apply Reset w/o starting infinite loop\n   177→      resetJobSelection()\n   178→    });\n   179→\t});\n   180→\n   181→  /* On Mount */\n   182→  onMount(() => {\n   183→    filterComponent.updateFilters();\n   184→  });\n   185→</script>\n   186→\n   187→<!-- ROW1: Status-->\n   188→{#if $initq.fetching}\n   189→  <Row>\n   190→    <Col>\n   191→      <Spinner />\n   192→    </Col>\n   193→  </Row>\n   194→{:else if $initq.error}\n   195→  <Row>\n   196→    <Col>\n   197→      <Card body color=\"danger\">{$initq.error.message}</Card>\n   198→    </Col>\n   199→  </Row>\n   200→{/if}\n   201→\n   202→<!-- ROW2: Tools-->\n   203→<Row cols={{ xs: 1, md: 2, lg: 6}} class=\"mb-3\">\n   204→  <Col class=\"mb-2 mb-lg-0\">\n   205→    <ButtonGroup class=\"w-100\">\n   206→      <Button outline color=\"primary\" onclick={() => (isSortingOpen = true)} disabled={showCompare}>\n   207→        <Icon name=\"sort-up\" /> Sorting\n   208→      </Button>\n   209→      <Button\n   210→        outline\n   211→        color=\"primary\"\n   212→        onclick={() => (isMetricsSelectionOpen = true)}\n   213→      >\n   214→        <Icon name=\"graph-up\" /> Metrics\n   215→      </Button>\n   216→    </ButtonGroup>\n   217→  </Col>\n   218→  <Col lg=\"4\" class=\"mb-1 mb-lg-0\">\n   219→    <Filters\n   220→      bind:this={filterComponent}\n   221→      {filterPresets}\n   222→      startTimeQuickSelect\n   223→      shortJobQuickSelect={(filterBuffer.length > 0)}\n   224→      shortJobCutoff={ccconfig?.jobList_hideShortRunningJobs}\n   225→      showFilter={!showCompare}\n   226→      matchedJobs={showCompare? matchedCompareJobs: matchedListJobs}\n   227→      applyFilters={(detail) => {\n   228→        jobFilters = [...detail.filters, { user: { eq: user.username } }];\n   229→        selectedCluster = jobFilters[0]?.cluster\n   230→          ? jobFilters[0].cluster.eq\n   231→          : null;\n   232→        selectedSubCluster = jobFilters[1]?.partition\n   233→          ? jobFilters[1].partition.eq\n   234→          : null;\n   235→        filterBuffer = [...jobFilters]\n   236→        if (showCompare) {\n   237→          jobCompare.queryJobs(jobFilters);\n   238→        } else {\n   239→          jobList.queryJobs(jobFilters);\n   240→        }\n   241→      }}\n   242→    />\n   243→  </Col>\n   244→  <Col class=\"mb-2 mb-lg-0\">\n   245→     {#if !showCompare}\n   246→      <InputGroup>\n   247→        <InputGroupText>\n   248→          <Icon name=\"bar-chart-line-fill\" />\n   249→        </InputGroupText>\n   250→        <InputGroupText>\n   251→          Duration Bin Size\n   252→        </InputGroupText>\n   253→        <Input type=\"select\" bind:value={numDurationBins} style=\"max-width: 120px;\">\n   254→          {#each durationBinOptions as dbin}\n   255→            <option value={dbin}>{dbin}</option>\n   256→          {/each}\n   257→        </Input>\n   258→      </InputGroup>\n   259→    {/if}\n   260→  </Col>\n   261→  <Col class=\"mb-2 mb-lg-0\">\n   262→    {#if !showCompare}\n   263→      <TextFilter\n   264→        {filterBuffer}\n   265→        setFilter={(filter) => filterComponent.updateFilters(filter)}\n   266→      />\n   267→    {/if}\n   268→  </Col>\n   269→  <Col class=\"mb-1 mb-lg-0\">\n   270→    {#if !showCompare}\n   271→      <Refresher onRefresh={() => {\n   272→        jobList.refreshJobs()\n   273→        jobList.refreshAllMetrics()\n   274→      }} />\n   275→    {/if}\n   276→  </Col>\n   277→</Row>\n   278→\n   279→<!-- ROW3: Base Information-->\n   280→{#if !showCompare}\n   281→  <Row cols={{ xs: 1, md: 3}} class=\"mb-2\">\n   282→    {#if $stats.error}\n   283→      <Col>\n   284→        <Card body color=\"danger\">{$stats.error.message}</Card>\n   285→      </Col>\n   286→    {:else if !$stats.data}\n   287→      <Col>\n   288→        <Spinner secondary />\n   289→      </Col>\n   290→    {:else}\n   291→      <Col>\n   292→        <Table>\n   293→          <tbody>\n   294→            <tr>\n   295→              <th scope=\"row\">Username</th>\n   296→              <td>{scrambleNames ? scramble(user.username) : user.username}</td>\n   297→            </tr>\n   298→            {#if user.name}\n   299→              <tr>\n   300→                <th scope=\"row\">Name</th>"}]},"uuid":"e17bd28c-7702-4419-ad38-93e0ba29850d","timestamp":"2026-03-19T10:06:49.623Z"},"type":"agent_progress","prompt":"","agentId":"a2a88d9a86878e95a"},"toolUseID":"agent_msg_01NT7Y6xRphTYtrGUnJvRP2E","parentToolUseID":"toolu_01KyvAFfwW2mG4XmwNcuYhKu","uuid":"f2cd4c6c-fcb7-4fe9-9c28-099859ad2a5c","timestamp":"2026-03-19T10:06:49.848Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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+{"parentUuid":"e455a4d0-93c6-4610-97d1-3d220f74ae79","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Jp8dwpQ5dWjigpAsQmYB3w","type":"tool_result","content":"     1→<!--\n     2→  @component Main cluster status view component; renders current system-usage information\n     3→\n     4→  Properties:\n     5→  - `presetCluster String`: The cluster to show status information for\n     6→  - `presetSubCluster String?`: The subCluster to show status information for [Default: null]\n     7→  - `useCbColors Bool?`: Use colorblind friendly colors [Default: false]\n     8→  - `useAltColors Bool?`: Use alternative color set [Default: false]\n     9→-->\n    10→\n    11→<script>\n    12→  import {\n    13→    Row,\n    14→    Col,\n    15→    Spinner,\n    16→    Card,\n    17→    Table,\n    18→    Icon,\n    19→    Tooltip,\n    20→    Input,\n    21→    InputGroup,\n    22→    InputGroupText,\n    23→  } from \"@sveltestrap/sveltestrap\";\n    24→  import { queryStore, gql, getContextClient } from \"@urql/svelte\";\n    25→  import {\n    26→    scramble,\n    27→    scrambleNames,\n    28→    convert2uplot,\n    29→  } from \"../../generic/utils.js\";\n    30→  import Pie, { colors } from \"../../generic/plots/Pie.svelte\";\n    31→  import Histogram from \"../../generic/plots/Histogram.svelte\";\n    32→  import Refresher from \"../../generic/helper/Refresher.svelte\";\n    33→\n    34→  /* Svelte 5 Props */\n    35→  let {\n    36→    presetCluster,\n    37→    presetSubCluster = null,\n    38→    useCbColors = false,\n    39→    useAltColors = false,\n    40→    loadMe = false,\n    41→  } = $props();\n    42→\n    43→  /* Const Init */\n    44→  const client = getContextClient();\n    45→  const durationBinOptions = [\"1m\", \"10m\", \"1h\", \"6h\", \"12h\"];\n    46→\n    47→  /* State Init */\n    48→  let pagingState = $state({ page: 1, itemsPerPage: 10 }); // Top 10\n    49→  let selectedHistograms = $state([]); // Dummy For Refresh\n    50→  let colWidthJobs = $state(0);\n    51→  let colWidthNodes = $state(0);\n    52→  let colWidthAccs = $state(0);\n    53→  let numDurationBins = $state(\"1h\");\n    54→\n    55→  /* Derived */\n    56→  const canvasPrefix = $derived(\n    57→    `${presetCluster}-${presetSubCluster ? presetSubCluster : \"\"}`,\n    58→  );\n    59→\n    60→  const statusFilter = $derived(\n    61→    presetSubCluster\n    62→      ? [\n    63→          { cluster: { eq: presetCluster } },\n    64→          { subCluster: { eq: presetSubCluster } },\n    65→          { state: [\"running\"] },\n    66→        ]\n    67→      : [{ cluster: { eq: presetCluster } }, { state: [\"running\"] }],\n    68→  );\n    69→  const topStatsQuery = $derived(\n    70→    loadMe\n    71→      ? queryStore({\n    72→          client: client,\n    73→          query: gql`\n    74→            query ($filter: [JobFilter!]!) {\n    75→              allUsers: jobsStatistics(\n    76→                filter: $filter\n    77→                groupBy: USER\n    78→              ) {\n    79→                id\n    80→                name\n    81→                totalJobs\n    82→                totalNodes\n    83→                totalAccs\n    84→              }\n    85→              allProjects: jobsStatistics(\n    86→                filter: $filter\n    87→                groupBy: PROJECT\n    88→              ) {\n    89→                id\n    90→                totalJobs\n    91→                totalNodes\n    92→                totalAccs\n    93→              }\n    94→            }\n    95→          `,\n    96→          variables: {\n    97→            filter: statusFilter,\n    98→          },\n    99→          requestPolicy: \"network-only\",\n   100→        })\n   101→      : null,\n   102→  );\n   103→\n   104→  // Sort + slice top-10 from the full results in the frontend\n   105→  const topUserJobs = $derived(\n   106→    $topStatsQuery?.data?.allUsers\n   107→      ?.toSorted((a, b) => b.totalJobs - a.totalJobs)\n   108→      .slice(0, 10) ?? [],\n   109→  );\n   110→  const topProjectJobs = $derived(\n   111→    $topStatsQuery?.data?.allProjects\n   112→      ?.toSorted((a, b) => b.totalJobs - a.totalJobs)\n   113→      .slice(0, 10) ?? [],\n   114→  );\n   115→  const topUserNodes = $derived(\n   116→    $topStatsQuery?.data?.allUsers\n   117→      ?.toSorted((a, b) => b.totalNodes - a.totalNodes)\n   118→      .slice(0, 10) ?? [],\n   119→  );\n   120→  const topProjectNodes = $derived(\n   121→    $topStatsQuery?.data?.allProjects\n   122→      ?.toSorted((a, b) => b.totalNodes - a.totalNodes)\n   123→      .slice(0, 10) ?? [],\n   124→  );\n   125→  const topUserAccs = $derived(\n   126→    $topStatsQuery?.data?.allUsers\n   127→      ?.toSorted((a, b) => b.totalAccs - a.totalAccs)\n   128→      .slice(0, 10) ?? [],\n   129→  );\n   130→  const topProjectAccs = $derived(\n   131→    $topStatsQuery?.data?.allProjects\n   132→      ?.toSorted((a, b) => b.totalAccs - a.totalAccs)\n   133→      .slice(0, 10) ?? [],\n   134→  );\n   135→\n   136→  // Note: nodeMetrics are requested on configured $timestep resolution\n   137→  const nodeStatusQuery = $derived(\n   138→    loadMe\n   139→      ? queryStore({\n   140→          client: client,\n   141→          query: gql`\n   142→            query (\n   143→              $filter: [JobFilter!]!\n   144→              $selectedHistograms: [String!]\n   145→              $numDurationBins: String\n   146→            ) {\n   147→              jobsStatistics(\n   148→                filter: $filter\n   149→                metrics: $selectedHistograms\n   150→                numDurationBins: $numDurationBins\n   151→              ) {\n   152→                histDuration {\n   153→                  count\n   154→                  value\n   155→                }\n   156→                histNumNodes {\n   157→                  count\n   158→                  value\n   159→                }\n   160→                histNumAccs {\n   161→                  count\n   162→                  value\n   163→                }\n   164→              }\n   165→            }\n   166→          `,\n   167→          variables: {\n   168→            filter: statusFilter,\n   169→            selectedHistograms: selectedHistograms, // No Metrics requested for node hardware stats\n   170→            numDurationBins: numDurationBins,\n   171→          },\n   172→          requestPolicy: \"network-only\",\n   173→        })\n   174→      : null,\n   175→  );\n   176→\n   177→  /* Functions */\n   178→  function legendColors(targetIdx) {\n   179→    // Reuses first color if targetIdx overflows\n   180→    let c;\n   181→    if (useCbColors) {\n   182→      c = [...colors[\"colorblind\"]];\n   183→    } else if (useAltColors) {\n   184→      c = [...colors[\"alternative\"]];\n   185→    } else {\n   186→      c = [...colors[\"default\"]];\n   187→    }\n   188→    return c[(c.length + targetIdx) % c.length];\n   189→  }\n   190→</script>\n   191→\n   192→<!-- Refresher and space for other options -->\n   193→<Row class=\"justify-content-between\">\n   194→  <Col class=\"mb-2 mb-md-0\" xs=\"12\" md=\"5\" lg=\"4\" xl=\"3\">\n   195→    <InputGroup>\n   196→      <InputGroupText>\n   197→        <Icon name=\"bar-chart-line-fill\" />\n   198→      </InputGroupText>\n   199→      <InputGroupText>Duration Bin Size</InputGroupText>\n   200→      <Input type=\"select\" bind:value={numDurationBins}>"}]},"uuid":"898fbbab-b844-4c1d-a821-db132ff8c284","timestamp":"2026-03-19T10:06:52.711Z"},"type":"agent_progress","prompt":"","agentId":"a2a88d9a86878e95a"},"toolUseID":"agent_msg_01NT7Y6xRphTYtrGUnJvRP2E","parentToolUseID":"toolu_01KyvAFfwW2mG4XmwNcuYhKu","uuid":"cfdfca08-94c3-4b25-9437-7a71bda4a13d","timestamp":"2026-03-19T10:06:52.713Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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+{"parentUuid":"1e5bcd9e-bf22-4db9-a348-4e1ad264c60f","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DCPW6n7NQZ6XxQe5VLmcBf","type":"tool_result","content":"     1→<!--\n     2→  @component Main cluster status view component; renders current system-usage information\n     3→\n     4→  Properties:\n     5→  - `presetCluster String`: The cluster to show status information for\n     6→-->\n     7→\n     8→ <script>\n     9→  import {\n    10→    getContext\n    11→  } from \"svelte\"\n    12→  import {\n    13→    queryStore,\n    14→    gql,\n    15→    getContextClient,\n    16→  } from \"@urql/svelte\";\n    17→  import {\n    18→    init,\n    19→    scramble,\n    20→    scrambleNames,\n    21→  } from \"../generic/utils.js\";\n    22→  import {\n    23→    formatDurationTime,\n    24→    formatNumber,\n    25→    scaleNumber\n    26→  } from \"../generic/units.js\";\n    27→  import {\n    28→    Row,\n    29→    Col,\n    30→    Card,\n    31→    CardTitle,\n    32→    CardHeader,\n    33→    CardBody,\n    34→    Spinner,\n    35→    Table,\n    36→    Progress,\n    37→    Icon,\n    38→  } from \"@sveltestrap/sveltestrap\";\n    39→  import Roofline from \"../generic/plots/Roofline.svelte\";\n    40→  import Pie, { colors } from \"../generic/plots/Pie.svelte\";\n    41→  import Stacked from \"../generic/plots/Stacked.svelte\";\n    42→  import DoubleMetric from \"../generic/plots/DoubleMetricPlot.svelte\";\n    43→  import Refresher from \"../generic/helper/Refresher.svelte\";\n    44→\n    45→  /* Svelte 5 Props */\n    46→  let {\n    47→    presetCluster,\n    48→  } = $props();\n    49→\n    50→  /*Const Init */\n    51→  const { query: initq } = init();\n    52→  const client = getContextClient();\n    53→  const useCbColors = getContext(\"cc-config\")?.plotConfiguration_colorblindMode || false\n    54→\n    55→  /* States */\n    56→  let pagingState = $state({page: 1, itemsPerPage: 10}) // Top 10\n    57→  let from = $state(new Date(Date.now() - 5 * 60 * 1000));\n    58→  let clusterFrom = $state(new Date(Date.now() - (8 * 60 * 60 * 1000)));\n    59→  let to = $state(new Date(Date.now()));\n    60→  let stackedFrom = $state(Math.floor(Date.now() / 1000) - 14400);\n    61→  let colWidthJobs = $state(0);\n    62→\n    63→  /* Derived */\n    64→  // States for Stacked charts\n    65→  const statesTimed = $derived(queryStore({\n    66→    client: client,\n    67→    query: gql`\n    68→      query ($filter: [NodeFilter!], $typeNode: String!, $typeHealth: String!) {\n    69→        nodeStates: nodeStatesTimed(filter: $filter, type: $typeNode) {\n    70→          state\n    71→          counts\n    72→          times\n    73→        }\n    74→        healthStates: nodeStatesTimed(filter: $filter, type: $typeHealth) {\n    75→          state\n    76→          counts\n    77→          times\n    78→        }\n    79→      }\n    80→    `,\n    81→    variables: {\n    82→      filter: { cluster: { eq: presetCluster }, timeStart: stackedFrom},\n    83→      typeNode: \"node\",\n    84→      typeHealth: \"health\"\n    85→    },\n    86→    requestPolicy: \"network-only\"\n    87→  }));\n    88→\n    89→  // Note: nodeMetrics are requested on configured $timestep resolution\n    90→  // Result: The latest 5 minutes (datapoints) for each node independent of job\n    91→  const statusQuery = $derived(queryStore({\n    92→    client: client,\n    93→    query: gql`\n    94→      query (\n    95→        $cluster: String!\n    96→        $metrics: [String!]\n    97→        $from: Time!\n    98→        $to: Time!\n    99→        $clusterFrom: Time!\n   100→        $jobFilter: [JobFilter!]!\n   101→        $paging: PageRequest!\n   102→        $sorting: OrderByInput!\n   103→      ) {\n   104→        # Node 5 Minute Averages for Roofline\n   105→        nodeMetrics(\n   106→          cluster: $cluster\n   107→          metrics: $metrics\n   108→          from: $from\n   109→          to: $to\n   110→        ) {\n   111→          host\n   112→          subCluster\n   113→          metrics {\n   114→            name\n   115→            metric {\n   116→              series {\n   117→                statistics {\n   118→                  avg\n   119→                }\n   120→              }\n   121→            }\n   122→          }\n   123→        }\n   124→        # Running Job Metric Average for Rooflines\n   125→        jobsMetricStats(filter: $jobFilter, metrics: $metrics) {\n   126→          id\n   127→          jobId\n   128→          duration\n   129→          numNodes\n   130→          numAccelerators\n   131→          subCluster\n   132→          stats {\n   133→            name\n   134→            data {\n   135→              avg\n   136→            }\n   137→          }\n   138→        }\n   139→        # Get Jobs for Per-Node Counts\n   140→        jobs(filter: $jobFilter, order: $sorting, page: $paging) {\n   141→          items {\n   142→            jobId\n   143→            resources {\n   144→              hostname\n   145→            }\n   146→          }\n   147→          count\n   148→        }\n   149→        # Only counts shared nodes once \n   150→        allocatedNodes(cluster: $cluster) {"}]},"uuid":"c65b5b85-9362-4d00-b77e-435ea912bc37","timestamp":"2026-03-19T10:06:54.602Z"},"type":"agent_progress","prompt":"","agentId":"a2a88d9a86878e95a"},"toolUseID":"agent_msg_01NT7Y6xRphTYtrGUnJvRP2E","parentToolUseID":"toolu_01KyvAFfwW2mG4XmwNcuYhKu","uuid":"7f714b81-4d57-496d-b883-a798a194e37b","timestamp":"2026-03-19T10:06:54.604Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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+{"parentUuid":"a8e2db50-72e3-45c9-bfc3-1694eea6750f","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017h2iRxYjk8ezV3tC85oV4L","type":"tool_result","content":"     1→<!--\n     2→  @component Main cluster status view component; renders current system-usage information\n     3→\n     4→  Properties:\n     5→  - `presetCluster String`: The cluster to show status information for\n     6→-->\n     7→\n     8→ <script>\n     9→  import {\n    10→    queryStore,\n    11→    gql,\n    12→    getContextClient,\n    13→  } from \"@urql/svelte\";\n    14→  import {\n    15→    init,\n    16→  } from \"./generic/utils.js\";\n    17→  import {\n    18→    formatNumber,\n    19→    scaleNumber\n    20→  } from \"./generic/units.js\";\n    21→  import {\n    22→    Row,\n    23→    Col,\n    24→    Card,\n    25→    CardHeader,\n    26→    CardBody,\n    27→    Spinner,\n    28→    Table,\n    29→    Progress,\n    30→    Icon,\n    31→    Button,\n    32→    Badge\n    33→  } from \"@sveltestrap/sveltestrap\";\n    34→  import Roofline from \"./generic/plots/Roofline.svelte\";\n    35→  import Pie, { colors } from \"./generic/plots/Pie.svelte\";\n    36→  import Stacked from \"./generic/plots/Stacked.svelte\";\n    37→  import DoubleMetric from \"./generic/plots/DoubleMetricPlot.svelte\";\n    38→  import Refresher from \"./generic/helper/Refresher.svelte\";\n    39→\n    40→  /* Svelte 5 Props */\n    41→  let {\n    42→    presetCluster,\n    43→  } = $props();\n    44→\n    45→  /*Const Init */\n    46→  const { query: initq } = init();\n    47→  const client = getContextClient();\n    48→  // const useCbColors = getContext(\"cc-config\")?.plotConfiguration_colorblindMode || false\n    49→\n    50→  /* States */\n    51→  let from = $state(new Date(Date.now() - (5 * 60 * 1000)));\n    52→  let clusterFrom = $state(new Date(Date.now() - (8 * 60 * 60 * 1000)));\n    53→  let to = $state(new Date(Date.now()));\n    54→  let stackedFrom = $state(Math.floor(Date.now() / 1000) - 14400);\n    55→  let colWidthStates = $state(0);\n    56→\n    57→  /* Derived */\n    58→  // States for Stacked charts\n    59→  const statesTimed = $derived(queryStore({\n    60→    client: client,\n    61→    query: gql`\n    62→      query ($filter: [NodeFilter!], $type: String!) {\n    63→        nodeStatesTimed(filter: $filter, type: $type) {\n    64→          state\n    65→          counts\n    66→          times\n    67→        }\n    68→      }\n    69→    `,\n    70→    variables: {\n    71→      filter: { cluster: { eq: presetCluster }, timeStart: stackedFrom},\n    72→      type: \"node\",\n    73→    },\n    74→    requestPolicy: \"network-only\"\n    75→  }));\n    76→\n    77→  // Note: nodeMetrics are requested on configured $timestep resolution\n    78→  // Result: The latest 5 minutes (datapoints) for each node independent of job\n    79→  const statusQuery = $derived(queryStore({\n    80→    client: client,\n    81→    query: gql`\n    82→      query (\n    83→        $cluster: String!\n    84→        $nmetrics: [String!]\n    85→        $cmetrics: [String!]\n    86→        $from: Time!\n    87→        $to: Time!\n    88→        $clusterFrom: Time!\n    89→        $jobFilter: [JobFilter!]!\n    90→        $nodeFilter: [NodeFilter!]!\n    91→        $paging: PageRequest!\n    92→        $sorting: OrderByInput!\n    93→      ) {\n    94→        # Node 5 Minute Averages for Roofline\n    95→        nodeMetrics(\n    96→          cluster: $cluster\n    97→          metrics: $nmetrics\n    98→          from: $from\n    99→          to: $to\n   100→        ) {\n   101→          host\n   102→          subCluster\n   103→          metrics {\n   104→            name\n   105→            metric {\n   106→              unit {\n   107→                base\n   108→                prefix\n   109→              }\n   110→              series {\n   111→                statistics {\n   112→                  avg\n   113→                }\n   114→              }\n   115→            }\n   116→          }\n   117→        }\n   118→        # Get Jobs for Per-Node Counts\n   119→        jobs(filter: $jobFilter, order: $sorting, page: $paging) {\n   120→          items {\n   121→            jobId\n   122→            resources {\n   123→              hostname\n   124→            }\n   125→          }\n   126→          count\n   127→        }\n   128→        # Only counts shared nodes once \n   129→        allocatedNodes(cluster: $cluster) {\n   130→          name\n   131→          count\n   132→        }\n   133→        # Get Current States fir Pie Charts\n   134→        nodeStates(filter: $nodeFilter) {\n   135→          state\n   136→          count\n   137→        }\n   138→        # Get States for Node Roofline; $sorting unused in backend: Use placeholder\n   139→        nodes(filter: $nodeFilter, order: $sorting) {\n   140→          count\n   141→          items {\n   142→            hostname\n   143→            cluster\n   144→            subCluster\n   145→            schedulerState\n   146→          }\n   147→        }\n   148→        # totalNodes includes multiples if shared jobs: Info-Card Data\n   149→        jobsStatistics(\n   150→          filter: $jobFilter"}]},"uuid":"93abfdf2-b605-4ef5-8c0c-54f13bd2d68a","timestamp":"2026-03-19T10:06:54.981Z"},"type":"agent_progress","prompt":"","agentId":"a2a88d9a86878e95a"},"toolUseID":"agent_msg_01NT7Y6xRphTYtrGUnJvRP2E","parentToolUseID":"toolu_01KyvAFfwW2mG4XmwNcuYhKu","uuid":"78fc0772-0719-4b96-ab73-7ac55e5c6ca5","timestamp":"2026-03-19T10:06:55.170Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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+{"parentUuid":"de972055-17e2-46c1-8181-ef7c0001f911","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BM8166u5eXxRa1PWzfVsjE","type":"tool_result","content":"     1→<!--\n     2→  @component Main cluster status view component; renders current system-usage information\n     3→\n     4→  Properties:\n     5→  - `presetCluster String`: The cluster to show status information for\n     6→-->\n     7→\n     8→ <script>\n     9→  import {\n    10→    Row,\n    11→    Col,\n    12→    Card,\n    13→    CardHeader,\n    14→    CardTitle,\n    15→    CardBody,\n    16→    Table,\n    17→    Progress,\n    18→    Spinner\n    19→  } from \"@sveltestrap/sveltestrap\";\n    20→  import {\n    21→    queryStore,\n    22→    gql,\n    23→    getContextClient,\n    24→  } from \"@urql/svelte\";\n    25→  import { formatDurationTime, scaleNumber } from \"../../generic/units.js\";\n    26→  import Refresher from \"../../generic/helper/Refresher.svelte\";\n    27→  import TimeSelection from \"../../generic/select/TimeSelection.svelte\";\n    28→  import Roofline from \"../../generic/plots/Roofline.svelte\";\n    29→  import Stacked from \"../../generic/plots/Stacked.svelte\";\n    30→\n    31→  /* Svelte 5 Props */\n    32→  let {\n    33→    clusters,\n    34→    presetCluster,\n    35→    loadMe = false,\n    36→  } = $props();\n    37→\n    38→  /* Const Init */\n    39→  const client = getContextClient();\n    40→\n    41→  /* State Init */\n    42→  let from = $state(new Date(Date.now() - 5 * 60 * 1000));\n    43→  let to = $state(new Date(Date.now()));\n    44→  let stackedFrom = $state(Math.floor(Date.now() / 1000) - 14400);\n    45→  // Bar Gauges\n    46→  let allocatedNodes = $state({});\n    47→  let allocatedCores = $state({});\n    48→  let allocatedAccs = $state({});\n    49→  let flopRate = $state({});\n    50→  let flopRateUnitPrefix = $state({});\n    51→  let flopRateUnitBase = $state({});\n    52→  let memBwRate = $state({});\n    53→  let memBwRateUnitPrefix = $state({});\n    54→  let memBwRateUnitBase = $state({});\n    55→  // Plain Infos\n    56→  let runningJobs = $state({});\n    57→  let activeUsers = $state({});\n    58→  let totalAccs = $state({});\n    59→\n    60→  /* Derived */\n    61→  let cluster = $derived(presetCluster);\n    62→  // States for Stacked charts\n    63→  const statesTimed = $derived(loadMe ? queryStore({\n    64→    client: client,\n    65→    query: gql`\n    66→      query ($filter: [NodeFilter!], $typeNode: String!, $typeHealth: String!) {\n    67→        nodeStates: nodeStatesTimed(filter: $filter, type: $typeNode) {\n    68→          state\n    69→          counts\n    70→          times\n    71→        }\n    72→        healthStates: nodeStatesTimed(filter: $filter, type: $typeHealth) {\n    73→          state\n    74→          counts\n    75→          times\n    76→        }\n    77→      }\n    78→    `,\n    79→    variables: {\n    80→      filter: { cluster: { eq: cluster }, timeStart: stackedFrom},\n    81→      typeNode: \"node\",\n    82→      typeHealth: \"health\"\n    83→    },\n    84→    requestPolicy: \"network-only\"\n    85→  }) : null);\n    86→\n    87→  // Note: nodeMetrics are requested on configured $timestep resolution\n    88→  // Result: The latest 5 minutes (datapoints) for each node independent of job\n    89→  const statusQuery = $derived(loadMe ? queryStore({\n    90→    client: client,\n    91→    query: gql`\n    92→      query (\n    93→        $cluster: String!\n    94→        $metrics: [String!]\n    95→        $from: Time!\n    96→        $to: Time!\n    97→        $jobFilter: [JobFilter!]!\n    98→        $nodeFilter: [NodeFilter!]!\n    99→        $paging: PageRequest!\n   100→        $sorting: OrderByInput!\n   101→      ) {\n   102→        # Node 5 Minute Averages for Roofline\n   103→        nodeMetrics(\n   104→          cluster: $cluster\n   105→          metrics: $metrics\n   106→          from: $from\n   107→          to: $to\n   108→        ) {\n   109→          host\n   110→          subCluster\n   111→          metrics {\n   112→            name\n   113→            metric {\n   114→              series {\n   115→                statistics {\n   116→                  avg\n   117→                }\n   118→              }\n   119→            }\n   120→          }\n   121→        }\n   122→        # Running Job Metric Average for Rooflines\n   123→        jobsMetricStats(filter: $jobFilter, metrics: $metrics) {\n   124→          id\n   125→          jobId\n   126→          duration\n   127→          numNodes\n   128→          numAccelerators\n   129→          subCluster\n   130→          stats {\n   131→            name\n   132→            data {\n   133→              avg\n   134→            }\n   135→          }\n   136→        }\n   137→        # Get Jobs for Per-Node Counts\n   138→        jobs(filter: $jobFilter, order: $sorting, page: $paging) {\n   139→          items {\n   140→            jobId\n   141→            resources {\n   142→              hostname\n   143→            }\n   144→          }\n   145→          count\n   146→        }\n   147→        # Only counts shared nodes once \n   148→        allocatedNodes(cluster: $cluster) {\n   149→          name\n   150→          count"}]},"uuid":"4b0318dc-913d-434d-a202-2b83662f72a8","timestamp":"2026-03-19T10:06:55.295Z"},"type":"agent_progress","prompt":"","agentId":"a2a88d9a86878e95a"},"toolUseID":"agent_msg_01NT7Y6xRphTYtrGUnJvRP2E","parentToolUseID":"toolu_01KyvAFfwW2mG4XmwNcuYhKu","uuid":"bce35135-6c4a-4392-be15-642aa5386af6","timestamp":"2026-03-19T10:06:55.297Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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Jobs\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/User.root.svelte:                <span style=\"cursor: help;\" title=\"{$stats?.data?.jobsStatistics[0]?.shortJobs || 0} Jobs\">\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/User.root.svelte:                  {formatNumber($stats?.data?.jobsStatistics[0]?.shortJobs || 0)} Jobs\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/User.root.svelte:                <span style=\"cursor: help;\" title=\"{$stats?.data?.jobsStatistics[0]?.totalWalltime || 0} Hours\">\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/User.root.svelte:                  {formatNumber($stats?.data?.jobsStatistics[0]?.totalWalltime || 0)} Hours\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/User.root.svelte:                <span style=\"cursor: help;\" title=\"{$stats?.data?.jobsStatistics[0]?.totalCoreHours || 0} Hours\">\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/User.root.svelte:                  {formatNumber($stats?.data?.jobsStatistics[0]?.totalCoreHours || 0)} Hours\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/User.root.svelte:                  <span style=\"cursor: help;\" title=\"{$stats?.data?.jobsStatistics[0]?.totalAccHours || 0} Hours\">\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/User.root.svelte:                    {formatNumber($stats?.data?.jobsStatistics[0]?.totalAccHours || 0)} Hours\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/User.root.svelte:        {#key $stats?.data?.jobsStatistics[0]?.histDuration}\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/User.root.svelte:            data={convert2uplot($stats?.data?.jobsStatistics[0]?.histDuration)}\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/User.root.svelte:        {#key $stats?.data?.jobsStatistics[0]?.histNumNodes}\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/User.root.svelte:            data={convert2uplot($stats?.data?.jobsStatistics[0]?.histNumNodes)}\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/User.root.svelte:      {#key $stats?.data?.jobsStatistics[0]?.histMetrics}\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/User.root.svelte:          items={$stats?.data?.jobsStatistics[0]?.histMetrics || []}\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/DashPublic.root.svelte:        jobsStatistics(\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/DashPublic.root.svelte-          groupBy: CLUSTER\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/DashPublic.root.svelte:      if (!rawInfos['allocatedCores']) rawInfos['allocatedCores'] = $statusQuery?.data?.jobsStatistics?.find(({ id }) => id == presetCluster)?.totalCores || 0;\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/DashPublic.root.svelte:      if (!rawInfos['allocatedAccs']) rawInfos['allocatedAccs'] = $statusQuery?.data?.jobsStatistics?.find(({ id }) => id == presetCluster)?.totalAccs || 0;\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/DashPublic.root.svelte:      if (!rawInfos['activeUsers']) rawInfos['activeUsers'] = $statusQuery?.data?.jobsStatistics?.find(({ id }) => id == presetCluster)?.totalUsers || 0;\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/DashPublic.root.svelte:      if (!rawInfos['runningJobs']) rawInfos['runningJobs'] = $statusQuery?.data?.jobsStatistics?.find(({ id }) => id == presetCluster)?.totalJobs || 0;\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte:        jobsStatistics(\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte-          groupBy: CLUSTER\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte:        jobsStatistics(\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte-          sortBy: TOTALJOBS\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte-          groupBy: PROJECT\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte:      if (!rawInfos['allocatedCores']) rawInfos['allocatedCores'] = $statusQuery?.data?.jobsStatistics?.find(({ id }) => id == presetCluster)?.totalCores || 0;\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte:      if (!rawInfos['allocatedAccs']) rawInfos['allocatedAccs'] = $statusQuery?.data?.jobsStatistics?.find(({ id }) => id == presetCluster)?.totalAccs || 0;\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte:      if (!rawInfos['activeUsers']) rawInfos['activeUsers'] = $statusQuery?.data?.jobsStatistics?.find(({ id }) => id == presetCluster)?.totalUsers || 0;\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte:      if (!rawInfos['runningJobs']) rawInfos['runningJobs'] = $statusQuery?.data?.jobsStatistics?.find(({ id }) => id == presetCluster)?.totalJobs || 0;\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte:          {#if $topJobsQuery?.data?.jobsStatistics?.length > 0}\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte:                    quantities={$topJobsQuery.data.jobsStatistics.map(\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte:                    entities={$topJobsQuery.data.jobsStatistics.map((tp) => scrambleNames ? scramble(tp.id) : tp.id)}\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte:                  {#each $topJobsQuery.data.jobsStatistics as tp, i}\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte:              allUsers: jobsStatistics(\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte-                groupBy: USER\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte:              allProjects: jobsStatistics(\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte-                groupBy: PROJECT\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte:              jobsStatistics(\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte:      {#key $nodeStatusQuery?.data?.jobsStatistics[0]?.histDuration}\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte:            $nodeStatusQuery?.data?.jobsStatistics[0]?.histDuration,\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte:          $nodeStatusQuery?.data?.jobsStatistics[0]?.histNumNodes,\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte:          $nodeStatusQuery?.data?.jobsStatistics[0]?.histNumAccs,\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/StatisticsDash.svelte:        jobsStatistics(filter: $filter, metrics: $selectedHistograms) {\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/StatisticsDash.svelte:    {#key $metricStatusQuery?.data?.jobsStatistics[0]?.histMetrics}\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/StatisticsDash.svelte:        items={$metricStatusQuery?.data?.jobsStatistics[0]?.histMetrics}\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/StatusDash.svelte:        jobsStatistics(","is_error":false}]},"uuid":"1050d802-b2f7-4ea6-a51e-38a94e49faa2","timestamp":"2026-03-19T10:06:57.607Z"},"type":"agent_progress","prompt":"","agentId":"a2a88d9a86878e95a"},"toolUseID":"agent_msg_01NT7Y6xRphTYtrGUnJvRP2E","parentToolUseID":"toolu_01KyvAFfwW2mG4XmwNcuYhKu","uuid":"25271b75-b862-4fc0-b5e3-b29ee672be0d","timestamp":"2026-03-19T10:06:57.608Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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+{"parentUuid":"001e2235-3440-4100-9f5b-ab7d85a9f157","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019mFnJQDJreTC3iWcEJuh5V","type":"tool_result","content":"  const topJobsQuery = $derived(queryStore({\n    client: client,\n    query: gql`\n      query (\n        $filter: [JobFilter!]!\n        $paging: PageRequest!\n      ) {\n        jobsStatistics(\n          filter: $filter\n          page: $paging\n          sortBy: TOTALJOBS\n          groupBy: PROJECT\n        ) {\n          id\n          totalJobs\n        }\n      }\n    `,\n    variables: {\n      filter: [{ cluster: { eq: presetCluster} }, { state: [\"running\"] }],\n      paging: pagingState // Top 10","is_error":false}]},"uuid":"f360766f-6e56-4a50-ace7-1d6232e55a7e","timestamp":"2026-03-19T10:06:59.239Z"},"type":"agent_progress","prompt":"","agentId":"a2a88d9a86878e95a"},"toolUseID":"agent_msg_01NT7Y6xRphTYtrGUnJvRP2E","parentToolUseID":"toolu_01KyvAFfwW2mG4XmwNcuYhKu","uuid":"ff5e4394-6924-484c-b2ee-3f1d8bf35c66","timestamp":"2026-03-19T10:06:59.239Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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+{"parentUuid":"95e16384-252e-4a95-af67-6d3d47c171f5","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BPgQkiepQyz18rR8WkzdQq","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// This file contains job statistics and histogram generation functionality for the JobRepository.\n     7→//\n     8→// # Job Statistics\n     9→//\n    10→// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n    11→// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n    12→//   - Overall (JobsStats): Single aggregate across all matching jobs\n    13→//   - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n    14→//   - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n    15→//\n    16→// All statistics methods support filtering via JobFilter and respect security contexts.\n    17→//\n    18→// # Histograms\n    19→//\n    20→// Histogram methods generate distribution data for visualization:\n    21→//   - Duration, nodes, cores, accelerators (AddHistograms)\n    22→//   - Job metrics like CPU load, memory usage (AddMetricHistograms)\n    23→//\n    24→// Histograms use intelligent binning:\n    25→//   - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n    26→//   - Resources: Natural value-based bins\n    27→//   - Metrics: Normalized to peak values with configurable bin counts\n    28→//\n    29→// # Running vs. Completed Jobs\n    30→//\n    31→// Statistics handle running jobs specially:\n    32→//   - Duration calculated as (now - start_time) for running jobs\n    33→//   - Metric histograms for running jobs load data from metric backend instead of footprint\n    34→//   - Job state filtering distinguishes running/completed jobs\n    35→//\n    36→// # Performance Considerations\n    37→//\n    38→// - All queries use prepared statements via stmtCache\n    39→// - Complex aggregations use SQL for efficiency\n    40→// - Histogram pre-initialization ensures consistent bin ranges\n    41→// - Metric histogram queries limited to 5000 jobs for running job analysis\n    42→\n    43→package repository\n    44→\n    45→import (\n    46→\t\"context\"\n    47→\t\"database/sql\"\n    48→\t\"fmt\"\n    49→\t\"time\"\n    50→\n    51→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    52→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    53→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    54→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    55→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    56→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    57→\tsq \"github.com/Masterminds/squirrel\"\n    58→\t\"golang.org/x/sync/errgroup\"\n    59→)\n    60→\n    61→// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n    62→// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n    63→// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\n    64→var groupBy2column = map[model.Aggregate]string{\n    65→\tmodel.AggregateUser:       \"job.hpc_user\",\n    66→\tmodel.AggregateProject:    \"job.project\",\n    67→\tmodel.AggregateCluster:    \"job.cluster\",\n    68→\tmodel.AggregateSubcluster: \"job.subcluster\",\n    69→}\n    70→\n    71→// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n    72→// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n    73→// Column names match the AS aliases used in buildStatsQuery.\n    74→var sortBy2column = map[model.SortByAggregate]string{\n    75→\tmodel.SortByAggregateTotaljobs:      \"totalJobs\",\n    76→\tmodel.SortByAggregateTotalusers:     \"totalUsers\",\n    77→\tmodel.SortByAggregateTotalwalltime:  \"totalWalltime\",\n    78→\tmodel.SortByAggregateTotalnodes:     \"totalNodes\",\n    79→\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n    80→\tmodel.SortByAggregateTotalcores:     \"totalCores\",\n    81→\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n    82→\tmodel.SortByAggregateTotalaccs:      \"totalAccs\",\n    83→\tmodel.SortByAggregateTotalacchours:  \"totalAccHours\",\n    84→}\n    85→\n    86→// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n    87→//\n    88→// Parameters:\n    89→//   - filter: Job filters to apply (cluster, user, time range, etc.)\n    90→//   - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n    91→//   - col: Column name to GROUP BY; empty string for total count without grouping\n    92→//\n    93→// Returns a SelectBuilder that produces either:\n    94→//   - Single count: COUNT(job.id) when col is empty\n    95→//   - Grouped counts: col, COUNT(job.id) when col is specified\n    96→//\n    97→// The kind parameter enables counting specific job categories:\n    98→//   - \"running\": Only jobs with job_state = 'running'\n    99→//   - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n   100→//   - empty: All jobs matching filters\n   101→func (r *JobRepository) buildCountQuery(\n   102→\tfilter []*model.JobFilter,\n   103→\tkind string,\n   104→\tcol string,\n   105→) sq.SelectBuilder {\n   106→\tvar query sq.SelectBuilder\n   107→\n   108→\tif col != \"\" {\n   109→\t\tquery = sq.Select(col, \"COUNT(*)\").From(\"job\").GroupBy(col)\n   110→\t} else {\n   111→\t\tquery = sq.Select(\"COUNT(*)\").From(\"job\")\n   112→\t}\n   113→\n   114→\tswitch kind {\n   115→\tcase \"running\":\n   116→\t\tquery = query.Where(\"job.job_state = 'running'\")\n   117→\tcase \"short\":\n   118→\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n   119→\t}\n   120→\n   121→\tfor _, f := range filter {\n   122→\t\tquery = BuildWhereClause(f, query)\n   123→\t}\n   124→\n   125→\treturn query\n   126→}\n   127→\n   128→// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n   129→// Only requested columns are computed; unrequested columns select 0 as placeholder.\n   130→//\n   131→// Parameters:\n   132→//   - filter: Job filters to apply (cluster, user, time range, etc.)\n   133→//   - col: Column name to GROUP BY; empty string for overall statistics without grouping\n   134→//   - shortThreshold: Duration threshold in seconds for counting short-running jobs\n   135→//   - reqFields: Set of requested field names; nil means compute all fields\n   136→func (r *JobRepository) buildStatsQuery(\n   137→\tfilter []*model.JobFilter,\n   138→\tcol string,\n   139→\tshortThreshold int,\n   140→\treqFields map[string]bool,\n   141→) sq.SelectBuilder {\n   142→\tnow := time.Now().Unix()\n   143→\n   144→\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n   145→\tneed := func(field string) bool {\n   146→\t\treturn reqFields == nil || reqFields[field]\n   147→\t}\n   148→\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n   149→\n   150→\t// Build column list\n   151→\tcolumns := make([]string, 0, 14)\n   152→\n   153→\tif col != \"\" {\n   154→\t\tcolumns = append(columns, col)\n   155→\t}\n   156→\n   157→\tcolumns = append(columns, \"COUNT(*) as totalJobs\")\n   158→\n   159→\tif need(\"totalUsers\") {\n   160→\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n   161→\t} else {\n   162→\t\tcolumns = append(columns, \"0 AS totalUsers\")\n   163→\t}\n   164→\n   165→\tif need(\"totalWalltime\") {\n   166→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n   167→\t} else {\n   168→\t\tcolumns = append(columns, \"0 as totalWalltime\")\n   169→\t}\n   170→\n   171→\tif need(\"totalNodes\") {\n   172→\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n   173→\t} else {\n   174→\t\tcolumns = append(columns, \"0 as totalNodes\")\n   175→\t}\n   176→\n   177→\tif need(\"totalNodeHours\") {\n   178→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n   179→\t} else {\n   180→\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n   181→\t}\n   182→\n   183→\tif need(\"totalCores\") {\n   184→\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n   185→\t} else {\n   186→\t\tcolumns = append(columns, \"0 as totalCores\")\n   187→\t}\n   188→\n   189→\tif need(\"totalCoreHours\") {\n   190→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n   191→\t} else {\n   192→\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n   193→\t}\n   194→\n   195→\tif need(\"totalAccs\") {\n   196→\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n   197→\t} else {\n   198→\t\tcolumns = append(columns, \"0 as totalAccs\")\n   199→\t}\n   200→"}]},"uuid":"9317d361-71d0-492c-a7d5-e18558d78e0d","timestamp":"2026-03-19T10:07:04.080Z"},"type":"agent_progress","prompt":"","agentId":"a2a88d9a86878e95a"},"toolUseID":"agent_msg_01NT7Y6xRphTYtrGUnJvRP2E","parentToolUseID":"toolu_01KyvAFfwW2mG4XmwNcuYhKu","uuid":"18951180-103e-40b1-8ea0-81de874e1136","timestamp":"2026-03-19T10:07:04.081Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
+{"parentUuid":"18951180-103e-40b1-8ea0-81de874e1136","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-19T10:07:06.023Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01HGNDf4vpLLnvwAscFZeFWn","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RjWH9wBrw52EvagGPDC9YH","name":"Bash","input":{"command":"grep -B 10 \"sortAndPageStats\" /Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go | head -30"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"cache_creation_input_tokens":3114,"cache_read_input_tokens":76920,"cache_creation":{"ephemeral_5m_input_tokens":3114,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZCFddnJhD2Qno4bmFxXY","uuid":"33bb86ce-fe0a-494b-85a6-0db172942f76"},"type":"agent_progress","prompt":"","agentId":"a2a88d9a86878e95a"},"toolUseID":"agent_msg_01NT7Y6xRphTYtrGUnJvRP2E","parentToolUseID":"toolu_01KyvAFfwW2mG4XmwNcuYhKu","uuid":"0cb879bb-074b-42fd-9367-a02e56a0f32c","timestamp":"2026-03-19T10:07:06.023Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
+{"parentUuid":"0cb879bb-074b-42fd-9367-a02e56a0f32c","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RjWH9wBrw52EvagGPDC9YH","type":"tool_result","content":"\t\t\tstartGrouped := time.Now()\n\t\t\t// Use request-scoped cache: multiple aliases with same (filter, groupBy)\n\t\t\t// but different sortBy/page hit the DB only once.\n\t\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n\t\t\t\tkey := statsCacheKey(filter, groupBy, reqFields)\n\t\t\t\tvar allStats []*model.JobsStatistics\n\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)\n\t\t\t\t})\n\t\t\t\tif err == nil {\n\t\t\t\t\tstats = sortAndPageStats(allStats, sortBy, page)","is_error":false}]},"uuid":"c1cb9515-8b5b-4c00-a3d3-44f92db198c9","timestamp":"2026-03-19T10:07:06.061Z"},"type":"agent_progress","prompt":"","agentId":"a2a88d9a86878e95a"},"toolUseID":"agent_msg_01NT7Y6xRphTYtrGUnJvRP2E","parentToolUseID":"toolu_01KyvAFfwW2mG4XmwNcuYhKu","uuid":"3b573b4e-4dd4-4d59-90d0-ed911e5f8e65","timestamp":"2026-03-19T10:07:06.062Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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+{"parentUuid":"a772b57b-00f1-49f1-8e14-7cf4254855d1","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018HcgRLHWBwEjJsqmkvjHuG","type":"tool_result","content":"   646→// JobsStatistics is the resolver for the jobsStatistics field.\n   647→func (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobFilter, metrics []string, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, numDurationBins *string, numMetricBins *int) ([]*model.JobsStatistics, error) {\n   648→\tvar err error\n   649→\tvar stats []*model.JobsStatistics\n   650→\n   651→\t// Top Level Defaults\n   652→\tdefaultDurationBins := \"1h\"\n   653→\tdefaultMetricBins := 10\n   654→\n   655→\t// Build requested fields map for selective column computation\n   656→\tstatsFields := []string{\n   657→\t\t\"totalJobs\", \"totalUsers\", \"totalWalltime\", \"totalNodes\", \"totalCores\",\n   658→\t\t\"totalAccs\", \"totalNodeHours\", \"totalCoreHours\", \"totalAccHours\", \"runningJobs\", \"shortJobs\",\n   659→\t}\n   660→\treqFields := make(map[string]bool, len(statsFields))\n   661→\tfetchedMainStats := false\n   662→\tfor _, f := range statsFields {\n   663→\t\tif requireField(ctx, f) {\n   664→\t\t\treqFields[f] = true\n   665→\t\t\tif f != \"runningJobs\" && f != \"shortJobs\" {\n   666→\t\t\t\tfetchedMainStats = true\n   667→\t\t\t}\n   668→\t\t}\n   669→\t}\n   670→\n   671→\tif fetchedMainStats {\n   672→\t\tif groupBy == nil {\n   673→\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n   674→\t\t} else {\n   675→\t\t\tstartGrouped := time.Now()\n   676→\t\t\t// Use request-scoped cache: multiple aliases with same (filter, groupBy)\n   677→\t\t\t// but different sortBy/page hit the DB only once.\n   678→\t\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n   679→\t\t\t\tkey := statsCacheKey(filter, groupBy, reqFields)\n   680→\t\t\t\tvar allStats []*model.JobsStatistics\n   681→\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n   682→\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)\n   683→\t\t\t\t})\n   684→\t\t\t\tif err == nil {\n   685→\t\t\t\t\tstats = sortAndPageStats(allStats, sortBy, page)\n   686→\t\t\t\t}\n   687→\t\t\t} else {\n   688→\t\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n   689→\t\t\t}\n   690→\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n   691→\t\t}\n   692→\t} else {\n   693→\t\tstats = make([]*model.JobsStatistics, 0, 1)\n   694→\t\tstats = append(stats, &model.JobsStatistics{})\n   695→\t}\n   696→\n   697→\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n   698→\t// Only run separate count queries if main stats were not fetched.\n   699→\tif !fetchedMainStats {\n   700→\t\tif groupBy != nil {\n   701→\t\t\tif requireField(ctx, \"shortJobs\") {\n   702→\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n   703→\t\t\t}\n   704→\t\t\tif requireField(ctx, \"runningJobs\") {\n   705→\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n   706→\t\t\t}\n   707→\t\t} else {\n   708→\t\t\tif requireField(ctx, \"shortJobs\") {\n   709→\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n   710→\t\t\t}\n   711→\t\t\tif requireField(ctx, \"runningJobs\") {\n   712→\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n   713→\t\t\t}\n   714→\t\t}\n   715→\t}\n   716→\n   717→\tif err != nil {\n   718→\t\treturn nil, err\n   719→\t}\n   720→\n   721→\tif requireField(ctx, \"histDuration\") || requireField(ctx, \"histNumNodes\") || requireField(ctx, \"histNumCores\") || requireField(ctx, \"histNumAccs\") {\n   722→\n   723→\t\tif numDurationBins == nil {\n   724→\t\t\tnumDurationBins = &defaultDurationBins\n   725→\t\t}\n   726→\n   727→\t\tif groupBy == nil {\n   728→\t\t\tstats[0], err = r.Repo.AddHistograms(ctx, filter, stats[0], numDurationBins)\n   729→\t\t\tif err != nil {\n   730→\t\t\t\treturn nil, err\n   731→\t\t\t}\n   732→\t\t} else {\n   733→\t\t\treturn nil, errors.New(\"histograms only implemented without groupBy argument\")\n   734→\t\t}\n   735→\t}\n   736→\n   737→\tif requireField(ctx, \"histMetrics\") {\n   738→\n   739→\t\tif numMetricBins == nil {\n   740→\t\t\tnumMetricBins = &defaultMetricBins\n   741→\t\t}\n   742→\n   743→\t\tif groupBy == nil {\n   744→\t\t\tstats[0], err = r.Repo.AddMetricHistograms(ctx, filter, metrics, stats[0], numMetricBins)\n   745→\t\t\tif err != nil {\n   746→\t\t\t\treturn nil, err\n   747→\t\t\t}\n   748→\t\t} else {\n   749→\t\t\treturn nil, errors.New(\"metric histograms only implemented without groupBy argument\")\n   750→\t\t}\n   751→\t}\n   752→\n   753→\treturn stats, nil\n   754→}\n   755→"}]},"uuid":"a4b75c2c-593a-410c-bdc1-4f976ac3fb97","timestamp":"2026-03-19T10:07:08.240Z"},"type":"agent_progress","prompt":"","agentId":"a2a88d9a86878e95a"},"toolUseID":"agent_msg_01NT7Y6xRphTYtrGUnJvRP2E","parentToolUseID":"toolu_01KyvAFfwW2mG4XmwNcuYhKu","uuid":"2fbde1bd-103d-4992-8348-a7c05635732f","timestamp":"2026-03-19T10:07:08.241Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
+{"parentUuid":"2fbde1bd-103d-4992-8348-a7c05635732f","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Agent","command":"entire hooks claude-code post-task"},"parentToolUseID":"toolu_01KyvAFfwW2mG4XmwNcuYhKu","toolUseID":"toolu_01KyvAFfwW2mG4XmwNcuYhKu","timestamp":"2026-03-19T10:07:19.427Z","uuid":"04df6489-8d36-4724-9efc-92b84cee1172","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
+{"parentUuid":"6abc7913-0cc4-4eeb-9ae0-3179de20cd34","isSidechain":false,"promptId":"1b7f536d-4c30-4f96-96d7-9fb0529def53","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KyvAFfwW2mG4XmwNcuYhKu","type":"tool_result","content":[{"type":"text","text":"Perfect! Now I have all the information I need. Let me create a final comprehensive summary of the bug:\n\n## Summary\n\nI've identified a **critical bug** in the `jobsStatistics` GraphQL query where sorting by a field that isn't explicitly requested in the selection set will result in sorting by a zeroed-out value (0) instead of the actual field value.\n\n### The Bug\n\n**Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go` lines 646-754, specifically the caching path at lines 678-686.\n\n**Root Cause**: When using `groupBy` with `sortBy`:\n1. Lines 662-669 build `reqFields` map based on **which fields are selected in the GraphQL response** (via `requireField()`)\n2. This `reqFields` is passed to `JobsStatsGrouped()` to optimize database queries—only computing requested columns\n3. However, when the `cache` is used (line 678-686), `sortAndPageStats()` is called **before** the response is serialized\n4. If a field is used in `sortBy` but **not** in the response selection, it was never computed in the database query and remains at its default value (0)\n5. `sortAndPageStats()` then sorts by this zero value instead of the actual value\n\n### Concrete Example\n\nFrom `/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte`:\n\n```graphql\njobsStatistics(\n  filter: $filter\n  page: $paging\n  sortBy: TOTALJOBS\n  groupBy: PROJECT\n) {\n  id\n  totalJobs  # Only requesting id and totalJobs\n}\n```\n\n**The Problem**: The query sorts by `TOTALJOBS` but if the frontend also needs to sort by `TOTALUSERS` in another request (same filter/groupBy), and that request only selects `totalUsers` in the response, the database query skips computing `totalJobs` (since it's not in `reqFields`), causing `sortAndPageStats()` to sort by 0 instead.\n\n### Why This Happens\n\nThe optimization in lines 145-147 of `stats.go`:\n\n```go\nneed := func(field string) bool {\n    return reqFields == nil || reqFields[field]\n}\n```\n\nThis optimization sets unrequested columns to `0` in the database:\n\n```go\nif need(\"totalUsers\") {\n    columns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n} else {\n    columns = append(columns, \"0 AS totalUsers\")  // Zero placeholder!\n}\n```\n\nThen in the caching path (lines 678-686 of schema.resolvers.go), `sortAndPageStats()` receives data with zeroed fields but still tries to sort by them.\n\n### Affected Code Paths\n\n1. **With Cache** (lines 678-686): Definitely buggy\n   - Gets all results from cache (potentially with zeroed fields)\n   - Calls `sortAndPageStats()` which sorts by whatever `sortBy` specifies\n   - If sortBy field is zeroed, sorting is incorrect\n\n2. **Without Cache** (line 688): Safe\n   - Passes `sortBy` directly to database layer\n   - Database queries sort before returning results\n   - All fields are computed for sorting\n\n3. **No groupBy** (line 673): Safe\n   - `JobsStats()` computes all fields regardless of `reqFields`\n   - No selective computation optimization\n\n### Files Involved\n\n- **Backend**: \n  - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go` - JobsStatistics resolver (lines 646-754)\n  - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go` - sortAndPageStats function (lines 83-135)\n  - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go` - buildStatsQuery optimization\n\n- **Frontend Calls** (with groupBy + sortBy):\n  - `/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/Analysis.root.svelte` (lines 156-188) - sorts by totalWalltime, totalNodeHours, totalCoreHours, or totalAccHours\n  - `/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte` - sorts by TOTALJOBS with groupBy PROJECT"},{"type":"text","text":"agentId: a2a88d9a86878e95a (use SendMessage with to: 'a2a88d9a86878e95a' to continue this agent)\n<usage>total_tokens: 83237\ntool_uses: 26\nduration_ms: 44211</usage>"}]}]},"uuid":"dcec1450-c16c-460a-bd5c-646a03b83ca2","timestamp":"2026-03-19T10:07:19.425Z","toolUseResult":{"status":"completed","prompt":"In the cc-backend codebase, I need to understand if there's a potential bug where `sortAndPageStats` might sort by a field that was zeroed out because it wasn't in `reqFields`.\n\nSpecifically:\n1. Find all GraphQL queries/frontend code that call `jobsStatistics` with both a `groupBy` and `sortBy` argument. Check if any of them sort by a field (e.g. `TOTALUSERS`) without also selecting that field in the response.\n2. Look in `web/frontend/src/` for how `jobsStatistics` is called — what fields are requested and what `sortBy` values are used.\n3. Check `internal/graph/schema.resolvers.go` around the `requireField` function — how does it determine which fields are requested from the GraphQL selection set?\n\nBe thorough — check all .svelte, .js, .ts, and .graphql files in the frontend, plus the GraphQL schema.","agentId":"a2a88d9a86878e95a","content":[{"type":"text","text":"Perfect! Now I have all the information I need. Let me create a final comprehensive summary of the bug:\n\n## Summary\n\nI've identified a **critical bug** in the `jobsStatistics` GraphQL query where sorting by a field that isn't explicitly requested in the selection set will result in sorting by a zeroed-out value (0) instead of the actual field value.\n\n### The Bug\n\n**Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go` lines 646-754, specifically the caching path at lines 678-686.\n\n**Root Cause**: When using `groupBy` with `sortBy`:\n1. Lines 662-669 build `reqFields` map based on **which fields are selected in the GraphQL response** (via `requireField()`)\n2. This `reqFields` is passed to `JobsStatsGrouped()` to optimize database queries—only computing requested columns\n3. However, when the `cache` is used (line 678-686), `sortAndPageStats()` is called **before** the response is serialized\n4. If a field is used in `sortBy` but **not** in the response selection, it was never computed in the database query and remains at its default value (0)\n5. `sortAndPageStats()` then sorts by this zero value instead of the actual value\n\n### Concrete Example\n\nFrom `/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte`:\n\n```graphql\njobsStatistics(\n  filter: $filter\n  page: $paging\n  sortBy: TOTALJOBS\n  groupBy: PROJECT\n) {\n  id\n  totalJobs  # Only requesting id and totalJobs\n}\n```\n\n**The Problem**: The query sorts by `TOTALJOBS` but if the frontend also needs to sort by `TOTALUSERS` in another request (same filter/groupBy), and that request only selects `totalUsers` in the response, the database query skips computing `totalJobs` (since it's not in `reqFields`), causing `sortAndPageStats()` to sort by 0 instead.\n\n### Why This Happens\n\nThe optimization in lines 145-147 of `stats.go`:\n\n```go\nneed := func(field string) bool {\n    return reqFields == nil || reqFields[field]\n}\n```\n\nThis optimization sets unrequested columns to `0` in the database:\n\n```go\nif need(\"totalUsers\") {\n    columns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n} else {\n    columns = append(columns, \"0 AS totalUsers\")  // Zero placeholder!\n}\n```\n\nThen in the caching path (lines 678-686 of schema.resolvers.go), `sortAndPageStats()` receives data with zeroed fields but still tries to sort by them.\n\n### Affected Code Paths\n\n1. **With Cache** (lines 678-686): Definitely buggy\n   - Gets all results from cache (potentially with zeroed fields)\n   - Calls `sortAndPageStats()` which sorts by whatever `sortBy` specifies\n   - If sortBy field is zeroed, sorting is incorrect\n\n2. **Without Cache** (line 688): Safe\n   - Passes `sortBy` directly to database layer\n   - Database queries sort before returning results\n   - All fields are computed for sorting\n\n3. **No groupBy** (line 673): Safe\n   - `JobsStats()` computes all fields regardless of `reqFields`\n   - No selective computation optimization\n\n### Files Involved\n\n- **Backend**: \n  - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go` - JobsStatistics resolver (lines 646-754)\n  - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go` - sortAndPageStats function (lines 83-135)\n  - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go` - buildStatsQuery optimization\n\n- **Frontend Calls** (with groupBy + sortBy):\n  - `/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/Analysis.root.svelte` (lines 156-188) - sorts by totalWalltime, totalNodeHours, totalCoreHours, or totalAccHours\n  - `/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte` - sorts by TOTALJOBS with groupBy PROJECT"}],"totalDurationMs":44211,"totalTokens":83237,"totalToolUseCount":26,"usage":{"input_tokens":0,"cache_creation_input_tokens":1760,"cache_read_input_tokens":80370,"output_tokens":1107,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1760},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"6abc7913-0cc4-4eeb-9ae0-3179de20cd34","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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\"TOTALCORES\"\ninternal/graph/model/models_gen.go:340:\tSortByAggregateTotalcorehours SortByAggregate = \"TOTALCOREHOURS\"\ninternal/graph/model/models_gen.go:341:\tSortByAggregateTotalaccs      SortByAggregate = \"TOTALACCS\"\ninternal/graph/model/models_gen.go:342:\tSortByAggregateTotalacchours  SortByAggregate = \"TOTALACCHOURS\"\ninternal/graph/model/models_gen.go:345:var AllSortByAggregate = []SortByAggregate{\ninternal/graph/model/models_gen.go:346:\tSortByAggregateTotalwalltime,\ninternal/graph/model/models_gen.go:347:\tSortByAggregateTotaljobs,\ninternal/graph/model/models_gen.go:348:\tSortByAggregateTotalusers,\ninternal/graph/model/models_gen.go:349:\tSortByAggregateTotalnodes,\ninternal/graph/model/models_gen.go:350:\tSortByAggregateTotalnodehours,\ninternal/graph/model/models_gen.go:351:\tSortByAggregateTotalcores,\ninternal/graph/model/models_gen.go:352:\tSortByAggregateTotalcorehours,\ninternal/graph/model/models_gen.go:353:\tSortByAggregateTotalaccs,\ninternal/graph/model/models_gen.go:354:\tSortByAggregateTotalacchours,\ninternal/graph/model/models_gen.go:357:func (e SortByAggregate) IsValid() bool {\ninternal/graph/model/models_gen.go:359:\tcase SortByAggregateTotalwalltime, SortByAggregateTotaljobs, SortByAggregateTotalusers, SortByAggregateTotalnodes, SortByAggregateTotalnodehours, SortByAggregateTotalcores, SortByAggregateTotalcorehours, SortByAggregateTotalaccs, SortByAggregateTotalacchours:\ninternal/graph/model/models_gen.go:365:func (e SortByAggregate) String() string {\ninternal/graph/model/models_gen.go:369:func (e *SortByAggregate) UnmarshalGQL(v any) error {\ninternal/graph/model/models_gen.go:375:\t*e = SortByAggregate(str)\ninternal/graph/model/models_gen.go:377:\t\treturn fmt.Errorf(\"%s is not a valid SortByAggregate\", str)\ninternal/graph/model/models_gen.go:382:func (e SortByAggregate) MarshalGQL(w io.Writer) {\ninternal/graph/model/models_gen.go:386:func (e *SortByAggregate) UnmarshalJSON(b []byte) error {\ninternal/graph/model/models_gen.go:394:func (e SortByAggregate) MarshalJSON() ([]byte, error) {"}]},"uuid":"24c17f41-59dc-4179-8735-ad067c050b88","timestamp":"2026-03-19T10:07:50.517Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"internal/graph/model/models_gen.go:331:type SortByAggregate string\ninternal/graph/model/models_gen.go:334:\tSortByAggregateTotalwalltime  SortByAggregate = \"TOTALWALLTIME\"\ninternal/graph/model/models_gen.go:335:\tSortByAggregateTotaljobs      SortByAggregate = \"TOTALJOBS\"\ninternal/graph/model/models_gen.go:336:\tSortByAggregateTotalusers     SortByAggregate = \"TOTALUSERS\"\ninternal/graph/model/models_gen.go:337:\tSortByAggregateTotalnodes     SortByAggregate = \"TOTALNODES\"\ninternal/graph/model/models_gen.go:338:\tSortByAggregateTotalnodehours SortByAggregate = \"TOTALNODEHOURS\"\ninternal/graph/model/models_gen.go:339:\tSortByAggregateTotalcores     SortByAggregate = \"TOTALCORES\"\ninternal/graph/model/models_gen.go:340:\tSortByAggregateTotalcorehours SortByAggregate = \"TOTALCOREHOURS\"\ninternal/graph/model/models_gen.go:341:\tSortByAggregateTotalaccs      SortByAggregate = \"TOTALACCS\"\ninternal/graph/model/models_gen.go:342:\tSortByAggregateTotalacchours  SortByAggregate = \"TOTALACCHOURS\"\ninternal/graph/model/models_gen.go:345:var AllSortByAggregate = []SortByAggregate{\ninternal/graph/model/models_gen.go:346:\tSortByAggregateTotalwalltime,\ninternal/graph/model/models_gen.go:347:\tSortByAggregateTotaljobs,\ninternal/graph/model/models_gen.go:348:\tSortByAggregateTotalusers,\ninternal/graph/model/models_gen.go:349:\tSortByAggregateTotalnodes,\ninternal/graph/model/models_gen.go:350:\tSortByAggregateTotalnodehours,\ninternal/graph/model/models_gen.go:351:\tSortByAggregateTotalcores,\ninternal/graph/model/models_gen.go:352:\tSortByAggregateTotalcorehours,\ninternal/graph/model/models_gen.go:353:\tSortByAggregateTotalaccs,\ninternal/graph/model/models_gen.go:354:\tSortByAggregateTotalacchours,\ninternal/graph/model/models_gen.go:357:func (e SortByAggregate) IsValid() bool {\ninternal/graph/model/models_gen.go:359:\tcase SortByAggregateTotalwalltime, SortByAggregateTotaljobs, SortByAggregateTotalusers, SortByAggregateTotalnodes, SortByAggregateTotalnodehours, SortByAggregateTotalcores, SortByAggregateTotalcorehours, SortByAggregateTotalaccs, SortByAggregateTotalacchours:\ninternal/graph/model/models_gen.go:365:func (e SortByAggregate) String() string {\ninternal/graph/model/models_gen.go:369:func (e *SortByAggregate) UnmarshalGQL(v any) error {\ninternal/graph/model/models_gen.go:375:\t*e = SortByAggregate(str)\ninternal/graph/model/models_gen.go:377:\t\treturn fmt.Errorf(\"%s is not a valid SortByAggregate\", str)\ninternal/graph/model/models_gen.go:382:func (e SortByAggregate) MarshalGQL(w io.Writer) {\ninternal/graph/model/models_gen.go:386:func (e *SortByAggregate) UnmarshalJSON(b []byte) error {\ninternal/graph/model/models_gen.go:394:func (e SortByAggregate) MarshalJSON() ([]byte, error) {","numLines":29},"sourceToolAssistantUUID":"59e6e3a3-fb1c-4227-b638-934343296034","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
+{"parentUuid":"24c17f41-59dc-4179-8735-ad067c050b88","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01N2uamuAjG1MZn6MR1dezLr","type":"message","role":"assistant","content":[{"type":"text","text":"Now I need to ensure `sortBy`'s field is included in `reqFields` when taking the cache path. The enum values are uppercase like `\"TOTALWALLTIME\"`, while `reqFields` keys are camelCase like `\"totalWalltime\"`. I need a mapping. Let me add that to the resolver:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2533,"cache_read_input_tokens":31037,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2533},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZCFh4PyVxRtv4bvAQ5K7","type":"assistant","uuid":"5ba9d881-1ae9-4ec3-9b78-520afcbcad06","timestamp":"2026-03-19T10:07:54.375Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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+{"parentUuid":"3d5068c6-10a6-4c48-a2e7-de5682141db3","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_012dWWxyNVM1NEbLmiw5KnJw","toolUseID":"toolu_012dWWxyNVM1NEbLmiw5KnJw","timestamp":"2026-03-19T10:07:55.333Z","uuid":"50741a78-6875-4b89-a019-5b0bb5476cca","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
+{"parentUuid":"3d5068c6-10a6-4c48-a2e7-de5682141db3","isSidechain":false,"promptId":"1b7f536d-4c30-4f96-96d7-9fb0529def53","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012dWWxyNVM1NEbLmiw5KnJw","type":"tool_result","content":"   670→\n   671→\tif fetchedMainStats {\n   672→\t\tif groupBy == nil {\n   673→\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n   674→\t\t} else {\n   675→\t\t\tstartGrouped := time.Now()\n   676→\t\t\t// Use request-scoped cache: multiple aliases with same (filter, groupBy)\n   677→\t\t\t// but different sortBy/page hit the DB only once.\n   678→\t\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n   679→\t\t\t\tkey := statsCacheKey(filter, groupBy, reqFields)\n   680→\t\t\t\tvar allStats []*model.JobsStatistics\n   681→\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n   682→\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)\n   683→\t\t\t\t})\n   684→\t\t\t\tif err == nil {\n   685→\t\t\t\t\tstats = sortAndPageStats(allStats, sortBy, page)\n   686→\t\t\t\t}\n   687→\t\t\t} else {\n   688→\t\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n   689→\t\t\t}\n   690→\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n   691→\t\t}\n   692→\t} else {\n   693→\t\tstats = make([]*model.JobsStatistics, 0, 1)\n   694→\t\tstats = append(stats, &model.JobsStatistics{})"}]},"uuid":"f20053a2-dce0-450e-8dec-67ff0d115f0c","timestamp":"2026-03-19T10:07:55.332Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","content":"\n\tif fetchedMainStats {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n\t\t} else {\n\t\t\tstartGrouped := time.Now()\n\t\t\t// Use request-scoped cache: multiple aliases with same (filter, groupBy)\n\t\t\t// but different sortBy/page hit the DB only once.\n\t\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n\t\t\t\tkey := statsCacheKey(filter, groupBy, reqFields)\n\t\t\t\tvar allStats []*model.JobsStatistics\n\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)\n\t\t\t\t})\n\t\t\t\tif err == nil {\n\t\t\t\t\tstats = sortAndPageStats(allStats, sortBy, page)\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\t}\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {\n\t\tstats = make([]*model.JobsStatistics, 0, 1)\n\t\tstats = append(stats, &model.JobsStatistics{})","numLines":25,"startLine":670,"totalLines":1075}},"sourceToolAssistantUUID":"3d5068c6-10a6-4c48-a2e7-de5682141db3","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
+{"parentUuid":"f20053a2-dce0-450e-8dec-67ff0d115f0c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01TSVAuExCwfe4fj1h59B3HK","type":"message","role":"assistant","content":[{"type":"text","text":"I need to add a helper that maps `SortByAggregate` to the `reqFields` key, and ensure the sort field is included in `reqFields` before building the cache key. The cleanest place is in `stats_cache.go`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":722,"cache_read_input_tokens":33570,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":722},"output_tokens":6,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZCFhQxyz4CFMKBwyFNfh","type":"assistant","uuid":"7486eb55-ab01-4d8f-be6e-62a8ba967325","timestamp":"2026-03-19T10:07:58.436Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
+{"parentUuid":"7486eb55-ab01-4d8f-be6e-62a8ba967325","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01TSVAuExCwfe4fj1h59B3HK","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NhQxk8GproaGMnAKuRDCQU","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","offset":108,"limit":30},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":722,"cache_read_input_tokens":33570,"output_tokens":169,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":722,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZCFhQxyz4CFMKBwyFNfh","type":"assistant","uuid":"bf2552ab-3d32-49ee-aec2-3d567251235f","timestamp":"2026-03-19T10:07:58.825Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
+{"parentUuid":"bf2552ab-3d32-49ee-aec2-3d567251235f","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01NhQxk8GproaGMnAKuRDCQU","toolUseID":"toolu_01NhQxk8GproaGMnAKuRDCQU","timestamp":"2026-03-19T10:07:58.854Z","uuid":"e3ac903e-0c91-4d9c-99d5-0aea63bc6426","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
+{"parentUuid":"bf2552ab-3d32-49ee-aec2-3d567251235f","isSidechain":false,"promptId":"1b7f536d-4c30-4f96-96d7-9fb0529def53","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NhQxk8GproaGMnAKuRDCQU","type":"tool_result","content":"   108→}\n   109→\n   110→// statsFieldGetter returns a function that extracts the sortable int field\n   111→// from a JobsStatistics struct for the given sort key.\n   112→func statsFieldGetter(sortBy model.SortByAggregate) func(*model.JobsStatistics) int {\n   113→\tswitch sortBy {\n   114→\tcase model.SortByAggregateTotaljobs:\n   115→\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n   116→\tcase model.SortByAggregateTotalusers:\n   117→\t\treturn func(s *model.JobsStatistics) int { return s.TotalUsers }\n   118→\tcase model.SortByAggregateTotalwalltime:\n   119→\t\treturn func(s *model.JobsStatistics) int { return s.TotalWalltime }\n   120→\tcase model.SortByAggregateTotalnodes:\n   121→\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodes }\n   122→\tcase model.SortByAggregateTotalnodehours:\n   123→\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodeHours }\n   124→\tcase model.SortByAggregateTotalcores:\n   125→\t\treturn func(s *model.JobsStatistics) int { return s.TotalCores }\n   126→\tcase model.SortByAggregateTotalcorehours:\n   127→\t\treturn func(s *model.JobsStatistics) int { return s.TotalCoreHours }\n   128→\tcase model.SortByAggregateTotalaccs:\n   129→\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccs }\n   130→\tcase model.SortByAggregateTotalacchours:\n   131→\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccHours }\n   132→\tdefault:\n   133→\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n   134→\t}\n   135→}\n   136→"}]},"uuid":"cb32cc9b-f971-4c07-9340-4c0661ada932","timestamp":"2026-03-19T10:07:58.854Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","content":"}\n\n// statsFieldGetter returns a function that extracts the sortable int field\n// from a JobsStatistics struct for the given sort key.\nfunc statsFieldGetter(sortBy model.SortByAggregate) func(*model.JobsStatistics) int {\n\tswitch sortBy {\n\tcase model.SortByAggregateTotaljobs:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n\tcase model.SortByAggregateTotalusers:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalUsers }\n\tcase model.SortByAggregateTotalwalltime:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalWalltime }\n\tcase model.SortByAggregateTotalnodes:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodes }\n\tcase model.SortByAggregateTotalnodehours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodeHours }\n\tcase model.SortByAggregateTotalcores:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalCores }\n\tcase model.SortByAggregateTotalcorehours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalCoreHours }\n\tcase model.SortByAggregateTotalaccs:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccs }\n\tcase model.SortByAggregateTotalacchours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccHours }\n\tdefault:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n\t}\n}\n","numLines":29,"startLine":108,"totalLines":136}},"sourceToolAssistantUUID":"bf2552ab-3d32-49ee-aec2-3d567251235f","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
+{"parentUuid":"cb32cc9b-f971-4c07-9340-4c0661ada932","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0129YVcaZZjWUdu2J6X9Q6fL","type":"message","role":"assistant","content":[{"type":"text","text":"Now I'll add a `sortByFieldName` function to `stats_cache.go` and use it in the resolver to ensure the sort field is computed:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":739,"cache_read_input_tokens":34292,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":739},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZCFhg4qVjv4JCx83Ya35","type":"assistant","uuid":"d0c10fdd-467c-4af1-b145-06b665090aa1","timestamp":"2026-03-19T10:08:01.247Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
+{"parentUuid":"d0c10fdd-467c-4af1-b145-06b665090aa1","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0129YVcaZZjWUdu2J6X9Q6fL","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RwCvx3wdcetg1EpVHC6ya4","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","old_string":"// statsFieldGetter returns a function that extracts the sortable int field\n// from a JobsStatistics struct for the given sort key.","new_string":"// sortByFieldName maps a SortByAggregate enum to the corresponding reqFields key.\n// This ensures the DB computes the column that sortAndPageStats will sort by.\nfunc sortByFieldName(sortBy model.SortByAggregate) string {\n\tswitch sortBy {\n\tcase model.SortByAggregateTotaljobs:\n\t\treturn \"totalJobs\"\n\tcase model.SortByAggregateTotalusers:\n\t\treturn \"totalUsers\"\n\tcase model.SortByAggregateTotalwalltime:\n\t\treturn \"totalWalltime\"\n\tcase model.SortByAggregateTotalnodes:\n\t\treturn \"totalNodes\"\n\tcase model.SortByAggregateTotalnodehours:\n\t\treturn \"totalNodeHours\"\n\tcase model.SortByAggregateTotalcores:\n\t\treturn \"totalCores\"\n\tcase model.SortByAggregateTotalcorehours:\n\t\treturn \"totalCoreHours\"\n\tcase model.SortByAggregateTotalaccs:\n\t\treturn \"totalAccs\"\n\tcase model.SortByAggregateTotalacchours:\n\t\treturn \"totalAccHours\"\n\tdefault:\n\t\treturn \"totalJobs\"\n\t}\n}\n\n// statsFieldGetter returns a function that extracts the sortable int field\n// from a JobsStatistics struct for the given sort key."},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":739,"cache_read_input_tokens":34292,"output_tokens":518,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":739,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZCFhg4qVjv4JCx83Ya35","type":"assistant","uuid":"9f7a5c3f-9be7-49eb-84fc-6003e4029a69","timestamp":"2026-03-19T10:08:04.941Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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+{"parentUuid":"9f7a5c3f-9be7-49eb-84fc-6003e4029a69","isSidechain":false,"promptId":"1b7f536d-4c30-4f96-96d7-9fb0529def53","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RwCvx3wdcetg1EpVHC6ya4","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go has been updated successfully."}]},"uuid":"e329ed8d-ce06-4f10-8892-c83f989670a5","timestamp":"2026-03-19T10:08:04.952Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","oldString":"// statsFieldGetter returns a function that extracts the sortable int field\n// from a JobsStatistics struct for the given sort key.","newString":"// sortByFieldName maps a SortByAggregate enum to the corresponding reqFields key.\n// This ensures the DB computes the column that sortAndPageStats will sort by.\nfunc sortByFieldName(sortBy model.SortByAggregate) string {\n\tswitch sortBy {\n\tcase model.SortByAggregateTotaljobs:\n\t\treturn \"totalJobs\"\n\tcase model.SortByAggregateTotalusers:\n\t\treturn \"totalUsers\"\n\tcase model.SortByAggregateTotalwalltime:\n\t\treturn \"totalWalltime\"\n\tcase model.SortByAggregateTotalnodes:\n\t\treturn \"totalNodes\"\n\tcase model.SortByAggregateTotalnodehours:\n\t\treturn \"totalNodeHours\"\n\tcase model.SortByAggregateTotalcores:\n\t\treturn \"totalCores\"\n\tcase model.SortByAggregateTotalcorehours:\n\t\treturn \"totalCoreHours\"\n\tcase model.SortByAggregateTotalaccs:\n\t\treturn \"totalAccs\"\n\tcase model.SortByAggregateTotalacchours:\n\t\treturn \"totalAccHours\"\n\tdefault:\n\t\treturn \"totalJobs\"\n\t}\n}\n\n// statsFieldGetter returns a function that extracts the sortable int field\n// from a JobsStatistics struct for the given sort key.","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage graph\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)\n\n// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n// frontend requests multiple sort/page slices of the same underlying data\n// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\ntype statsGroupCache struct {\n\tmu      sync.Mutex\n\tentries map[string]*cacheEntry\n}\n\ntype cacheEntry struct {\n\tonce   sync.Once\n\tresult []*model.JobsStatistics\n\terr    error\n}\n\ntype ctxKey int\n\nconst statsGroupCacheKey ctxKey = iota\n\n// newStatsGroupCache creates a new empty cache.\nfunc newStatsGroupCache() *statsGroupCache {\n\treturn &statsGroupCache{\n\t\tentries: make(map[string]*cacheEntry),\n\t}\n}\n\n// WithStatsGroupCache injects a new cache into the context.\nfunc WithStatsGroupCache(ctx context.Context) context.Context {\n\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n}\n\n// getStatsGroupCache retrieves the cache from context, or nil if absent.\nfunc getStatsGroupCache(ctx context.Context) *statsGroupCache {\n\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n\t\treturn c\n\t}\n\treturn nil\n}\n\n// cacheKey builds a deterministic string key from filter + groupBy + reqFields.\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate, reqFields map[string]bool) string {\n\treturn fmt.Sprintf(\"%v|%v|%v\", filter, *groupBy, reqFields)\n}\n\n// getOrCompute returns cached results for the given key, computing them on\n// first access via the provided function.\nfunc (c *statsGroupCache) getOrCompute(\n\tkey string,\n\tcompute func() ([]*model.JobsStatistics, error),\n) ([]*model.JobsStatistics, error) {\n\tc.mu.Lock()\n\tentry, ok := c.entries[key]\n\tif !ok {\n\t\tentry = &cacheEntry{}\n\t\tc.entries[key] = entry\n\t}\n\tc.mu.Unlock()\n\n\tentry.once.Do(func() {\n\t\tentry.result, entry.err = compute()\n\t})\n\treturn entry.result, entry.err\n}\n\n// sortAndPageStats sorts a copy of allStats by the given sortBy field (descending)\n// and returns the requested page slice.\nfunc sortAndPageStats(allStats []*model.JobsStatistics, sortBy *model.SortByAggregate, page *model.PageRequest) []*model.JobsStatistics {\n\t// Work on a shallow copy so the cached slice order is not mutated.\n\tsorted := make([]*model.JobsStatistics, len(allStats))\n\tcopy(sorted, allStats)\n\n\tif sortBy != nil {\n\t\tgetter := statsFieldGetter(*sortBy)\n\t\tslices.SortFunc(sorted, func(a, b *model.JobsStatistics) int {\n\t\t\treturn getter(b) - getter(a) // descending\n\t\t})\n\t}\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tif start >= len(sorted) {\n\t\t\treturn nil\n\t\t}\n\t\tend := start + page.ItemsPerPage\n\t\tif end > len(sorted) {\n\t\t\tend = len(sorted)\n\t\t}\n\t\tsorted = sorted[start:end]\n\t}\n\n\treturn sorted\n}\n\n// statsFieldGetter returns a function that extracts the sortable int field\n// from a JobsStatistics struct for the given sort key.\nfunc statsFieldGetter(sortBy model.SortByAggregate) func(*model.JobsStatistics) int {\n\tswitch sortBy {\n\tcase model.SortByAggregateTotaljobs:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n\tcase model.SortByAggregateTotalusers:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalUsers }\n\tcase model.SortByAggregateTotalwalltime:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalWalltime }\n\tcase model.SortByAggregateTotalnodes:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodes }\n\tcase model.SortByAggregateTotalnodehours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodeHours }\n\tcase model.SortByAggregateTotalcores:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalCores }\n\tcase model.SortByAggregateTotalcorehours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalCoreHours }\n\tcase model.SortByAggregateTotalaccs:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccs }\n\tcase model.SortByAggregateTotalacchours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccHours }\n\tdefault:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n\t}\n}\n","structuredPatch":[{"oldStart":107,"oldLines":6,"newStart":107,"newLines":33,"lines":["   return sorted"," }"," ","+// sortByFieldName maps a SortByAggregate enum to the corresponding reqFields key.","+// This ensures the DB computes the column that sortAndPageStats will sort by.","+func sortByFieldName(sortBy model.SortByAggregate) string {","+  switch sortBy {","+  case model.SortByAggregateTotaljobs:","+    return \"totalJobs\"","+  case model.SortByAggregateTotalusers:","+    return \"totalUsers\"","+  case model.SortByAggregateTotalwalltime:","+    return \"totalWalltime\"","+  case model.SortByAggregateTotalnodes:","+    return \"totalNodes\"","+  case model.SortByAggregateTotalnodehours:","+    return \"totalNodeHours\"","+  case model.SortByAggregateTotalcores:","+    return \"totalCores\"","+  case model.SortByAggregateTotalcorehours:","+    return \"totalCoreHours\"","+  case model.SortByAggregateTotalaccs:","+    return \"totalAccs\"","+  case model.SortByAggregateTotalacchours:","+    return \"totalAccHours\"","+  default:","+    return \"totalJobs\"","+  }","+}","+"," // statsFieldGetter returns a function that extracts the sortable int field"," // from a JobsStatistics struct for the given sort key."," func statsFieldGetter(sortBy model.SortByAggregate) func(*model.JobsStatistics) int {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"9f7a5c3f-9be7-49eb-84fc-6003e4029a69","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
+{"parentUuid":"e329ed8d-ce06-4f10-8892-c83f989670a5","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_015ZcNZYjT3snhhAHdDm36KX","type":"message","role":"assistant","content":[{"type":"text","text":"Now update the resolver to ensure the sort field is in `reqFields` before the cache lookup:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":582,"cache_read_input_tokens":35031,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":582},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZCFi87kBBVzpqL6zssaY","type":"assistant","uuid":"80da290c-7217-451d-9b2a-1f0dcf35439a","timestamp":"2026-03-19T10:08:06.841Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
+{"parentUuid":"80da290c-7217-451d-9b2a-1f0dcf35439a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_015ZcNZYjT3snhhAHdDm36KX","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01W2s1WsNgLnYxFEdLCm6n3z","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","old_string":"\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n\t\t\t\tkey := statsCacheKey(filter, groupBy, reqFields)\n\t\t\t\tvar allStats []*model.JobsStatistics\n\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)\n\t\t\t\t})","new_string":"\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n\t\t\t\t// Ensure the sort field is computed even if not in the GraphQL selection,\n\t\t\t\t// because sortAndPageStats will sort by it in memory.\n\t\t\t\tif sortBy != nil {\n\t\t\t\t\treqFields[sortByFieldName(*sortBy)] = true\n\t\t\t\t}\n\t\t\t\tkey := statsCacheKey(filter, groupBy, reqFields)\n\t\t\t\tvar allStats []*model.JobsStatistics\n\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)\n\t\t\t\t})"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":582,"cache_read_input_tokens":35031,"output_tokens":432,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":582,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZCFi87kBBVzpqL6zssaY","type":"assistant","uuid":"7dd4fb19-4d12-41e3-8b38-d5df90cebe51","timestamp":"2026-03-19T10:08:11.636Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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+{"parentUuid":"7dd4fb19-4d12-41e3-8b38-d5df90cebe51","isSidechain":false,"promptId":"1b7f536d-4c30-4f96-96d7-9fb0529def53","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01W2s1WsNgLnYxFEdLCm6n3z","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go has been updated successfully."}]},"uuid":"af1065eb-b4bf-4c07-bcf4-cbc077f604ce","timestamp":"2026-03-19T10:08:11.673Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","oldString":"\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n\t\t\t\tkey := statsCacheKey(filter, groupBy, reqFields)\n\t\t\t\tvar allStats []*model.JobsStatistics\n\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)\n\t\t\t\t})","newString":"\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n\t\t\t\t// Ensure the sort field is computed even if not in the GraphQL selection,\n\t\t\t\t// because sortAndPageStats will sort by it in memory.\n\t\t\t\tif sortBy != nil {\n\t\t\t\t\treqFields[sortByFieldName(*sortBy)] = true\n\t\t\t\t}\n\t\t\t\tkey := statsCacheKey(filter, groupBy, reqFields)\n\t\t\t\tvar allStats []*model.JobsStatistics\n\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)\n\t\t\t\t})","originalFile":"package graph\n\n// This file will be automatically regenerated based on the schema, any resolver\n// implementations\n// will be copied through when generating and any unknown code will be moved to the end.\n// Code generated by github.com/99designs/gqlgen version v0.17.88\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"math\"\n\t\"regexp\"\n\t\"slices\"\n\t\"strconv\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tccunit \"github.com/ClusterCockpit/cc-lib/v2/ccUnits\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Partitions is the resolver for the partitions field.\nfunc (r *clusterResolver) Partitions(ctx context.Context, obj *schema.Cluster) ([]string, error) {\n\treturn r.Repo.Partitions(obj.Name)\n}\n\n// StartTime is the resolver for the startTime field.\nfunc (r *jobResolver) StartTime(ctx context.Context, obj *schema.Job) (*time.Time, error) {\n\ttimestamp := time.Unix(obj.StartTime, 0)\n\treturn &timestamp, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *jobResolver) Tags(ctx context.Context, obj *schema.Job) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), obj.ID)\n}\n\n// ConcurrentJobs is the resolver for the concurrentJobs field.\nfunc (r *jobResolver) ConcurrentJobs(ctx context.Context, obj *schema.Job) (*model.JobLinkResultList, error) {\n\t// FIXME: Make the hardcoded duration configurable\n\tif obj.Shared != \"none\" && obj.Duration > 600 {\n\t\treturn r.Repo.FindConcurrentJobs(ctx, obj)\n\t}\n\n\treturn nil, nil\n}\n\n// Footprint is the resolver for the footprint field.\nfunc (r *jobResolver) Footprint(ctx context.Context, obj *schema.Job) ([]*model.FootprintValue, error) {\n\trawFootprint, err := r.Repo.FetchFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.FootprintValue{}\n\tfor name, value := range rawFootprint {\n\n\t\tparts := strings.Split(name, \"_\")\n\t\tstatPart := parts[len(parts)-1]\n\t\tnameParts := parts[:len(parts)-1]\n\n\t\tres = append(res, &model.FootprintValue{\n\t\t\tName:  strings.Join(nameParts, \"_\"),\n\t\t\tStat:  statPart,\n\t\t\tValue: value,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// EnergyFootprint is the resolver for the energyFootprint field.\nfunc (r *jobResolver) EnergyFootprint(ctx context.Context, obj *schema.Job) ([]*model.EnergyFootprintValue, error) {\n\trawEnergyFootprint, err := r.Repo.FetchEnergyFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job energy footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.EnergyFootprintValue{}\n\tfor name, value := range rawEnergyFootprint {\n\t\t// Suboptimal: Nearly hardcoded metric name expectations\n\t\tmatchCPU := regexp.MustCompile(`cpu|Cpu|CPU`)\n\t\tmatchAcc := regexp.MustCompile(`acc|Acc|ACC`)\n\t\tmatchMem := regexp.MustCompile(`mem|Mem|MEM`)\n\t\tmatchCore := regexp.MustCompile(`core|Core|CORE`)\n\n\t\thwType := \"\"\n\t\tswitch test := name; { // NOtice ';' for var declaration\n\t\tcase matchCPU.MatchString(test):\n\t\t\thwType = \"CPU\"\n\t\tcase matchAcc.MatchString(test):\n\t\t\thwType = \"Accelerator\"\n\t\tcase matchMem.MatchString(test):\n\t\t\thwType = \"Memory\"\n\t\tcase matchCore.MatchString(test):\n\t\t\thwType = \"Core\"\n\t\tdefault:\n\t\t\thwType = \"Other\"\n\t\t}\n\n\t\tres = append(res, &model.EnergyFootprintValue{\n\t\t\tHardware: hwType,\n\t\t\tMetric:   name,\n\t\t\tValue:    value,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *jobResolver) MetaData(ctx context.Context, obj *schema.Job) (any, error) {\n\treturn r.Repo.FetchMetadata(obj)\n}\n\n// UserData is the resolver for the userData field.\nfunc (r *jobResolver) UserData(ctx context.Context, obj *schema.Job) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, obj.User)\n}\n\n// Name is the resolver for the name field.\nfunc (r *metricValueResolver) Name(ctx context.Context, obj *schema.MetricValue) (*string, error) {\n\tpanic(fmt.Errorf(\"not implemented: Name - name\"))\n}\n\n// CreateTag is the resolver for the createTag field.\nfunc (r *mutationResolver) CreateTag(ctx context.Context, typeArg string, name string, scope string) (*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\tif user.HasRole(schema.RoleAdmin) && scope == \"admin\" ||\n\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && scope == \"global\" ||\n\t\tuser.Username == scope {\n\t\t// Create in DB\n\t\tid, err := r.Repo.CreateTag(typeArg, name, scope)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while creating tag\")\n\t\t\treturn nil, err\n\t\t}\n\t\treturn &schema.Tag{ID: id, Type: typeArg, Name: name, Scope: scope}, nil\n\t} else {\n\t\tcclog.Warnf(\"Not authorized to create tag with scope: %s\", scope)\n\t\treturn nil, fmt.Errorf(\"not authorized to create tag with scope: %s\", scope)\n\t}\n}\n\n// DeleteTag is the resolver for the deleteTag field.\nfunc (r *mutationResolver) DeleteTag(ctx context.Context, id string) (string, error) {\n\t// This Uses ID string <-> ID string, removeTagFromList uses []string <-> []int\n\tpanic(fmt.Errorf(\"not implemented: DeleteTag - deleteTag\"))\n}\n\n// AddTagsToJob is the resolver for the addTagsToJob field.\nfunc (r *mutationResolver) AddTagsToJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while adding tag to job\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Add to Job\n\t\t\tif tags, err = r.Repo.AddTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while adding tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to add tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to add tag: %d\", tid)\n\t\t}\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagsFromJob is the resolver for the removeTagsFromJob field.\nfunc (r *mutationResolver) RemoveTagsFromJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Remove from Job\n\t\t\tif tags, err = r.Repo.RemoveTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagFromList is the resolver for the removeTagFromList field.\nfunc (r *mutationResolver) RemoveTagFromList(ctx context.Context, tagIds []string) ([]int, error) {\n\t// Needs Contextuser\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\ttags := []int{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id for removal\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && (tscope == \"global\" || tscope == \"admin\") || user.Username == tscope {\n\t\t\t// Remove from DB\n\t\t\tif err = r.Repo.RemoveTagByID(tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t} else {\n\t\t\t\ttags = append(tags, int(tid))\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\t}\n\treturn tags, nil\n}\n\n// UpdateConfiguration is the resolver for the updateConfiguration field.\nfunc (r *mutationResolver) UpdateConfiguration(ctx context.Context, name string, value string) (*string, error) {\n\tif err := repository.GetUserCfgRepo().UpdateConfig(name, value, repository.GetUserFromContext(ctx)); err != nil {\n\t\tcclog.Warn(\"Error while updating user config\")\n\t\treturn nil, err\n\t}\n\n\treturn nil, nil\n}\n\n// ID is the resolver for the id field.\nfunc (r *nodeResolver) ID(ctx context.Context, obj *schema.Node) (string, error) {\n\tpanic(fmt.Errorf(\"not implemented: ID - id\"))\n}\n\n// SchedulerState is the resolver for the schedulerState field.\nfunc (r *nodeResolver) SchedulerState(ctx context.Context, obj *schema.Node) (schema.SchedulerState, error) {\n\tif obj.NodeState != \"\" {\n\t\treturn obj.NodeState, nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no SchedulerState (NodeState) on node object\")\n\t}\n}\n\n// HealthState is the resolver for the healthState field.\nfunc (r *nodeResolver) HealthState(ctx context.Context, obj *schema.Node) (string, error) {\n\tif obj.HealthState != \"\" {\n\t\treturn string(obj.HealthState), nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no HealthState (NodeState) on node object\")\n\t}\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *nodeResolver) MetaData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.MetaData != nil {\n\t\treturn obj.MetaData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no MetaData (NodeState) on node object\")\n\t\temptyMeta := make(map[string]string, 0)\n\t\treturn emptyMeta, nil\n\t}\n}\n\n// HealthData is the resolver for the healthData field.\nfunc (r *nodeResolver) HealthData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.HealthData != nil {\n\t\treturn obj.HealthData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no HealthData (NodeState) on node object\")\n\t\temptyHealth := make(map[string][]string, 0)\n\t\treturn emptyHealth, nil\n\t}\n}\n\n// Clusters is the resolver for the clusters field.\nfunc (r *queryResolver) Clusters(ctx context.Context) ([]*schema.Cluster, error) {\n\treturn archive.Clusters, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *queryResolver) Tags(ctx context.Context) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), nil)\n}\n\n// GlobalMetrics is the resolver for the globalMetrics field.\nfunc (r *queryResolver) GlobalMetrics(ctx context.Context) ([]*schema.GlobalMetricListItem, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\n\tif user != nil {\n\t\tif user.HasRole(schema.RoleUser) || user.HasRole(schema.RoleManager) {\n\t\t\treturn archive.GlobalUserMetricList, nil\n\t\t}\n\t}\n\n\treturn archive.GlobalMetricList, nil\n}\n\n// User is the resolver for the user field.\nfunc (r *queryResolver) User(ctx context.Context, username string) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, username)\n}\n\n// AllocatedNodes is the resolver for the allocatedNodes field.\nfunc (r *queryResolver) AllocatedNodes(ctx context.Context, cluster string) ([]*model.Count, error) {\n\tdata, err := r.Repo.AllocatedNodes(cluster)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching allocated nodes\")\n\t\treturn nil, err\n\t}\n\n\tcounts := make([]*model.Count, 0, len(data))\n\tfor subcluster, hosts := range data {\n\t\tcounts = append(counts, &model.Count{\n\t\t\tName:  subcluster,\n\t\t\tCount: len(hosts),\n\t\t})\n\t}\n\n\treturn counts, nil\n}\n\n// Node is the resolver for the node field.\nfunc (r *queryResolver) Node(ctx context.Context, id string) (*schema.Node, error) {\n\trepo := repository.GetNodeRepository()\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\treturn repo.GetNodeByID(numericID, false)\n}\n\n// Nodes is the resolver for the nodes field.\nfunc (r *queryResolver) Nodes(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodes(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodesWithMeta is the resolver for the nodesWithMeta field.\nfunc (r *queryResolver) NodesWithMeta(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\t// Why Extra Handler? -> graphql.CollectAllFields(ctx) only returns toplevel fields (i.e.: items, count), and not subfields like item.metaData\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodesWithMeta(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodeStates is the resolver for the nodeStates field.\nfunc (r *queryResolver) NodeStates(ctx context.Context, filter []*model.NodeFilter) ([]*model.NodeStates, error) {\n\trepo := repository.GetNodeRepository()\n\n\tstateCounts, serr := repo.CountStates(ctx, filter, \"node_state\")\n\tif serr != nil {\n\t\tcclog.Warnf(\"Error while counting nodeStates: %s\", serr.Error())\n\t\treturn nil, serr\n\t}\n\n\thealthCounts, herr := repo.CountStates(ctx, filter, \"health_state\")\n\tif herr != nil {\n\t\tcclog.Warnf(\"Error while counting healthStates: %s\", herr.Error())\n\t\treturn nil, herr\n\t}\n\n\tallCounts := append(stateCounts, healthCounts...)\n\n\treturn allCounts, nil\n}\n\n// NodeStatesTimed is the resolver for the nodeStatesTimed field.\nfunc (r *queryResolver) NodeStatesTimed(ctx context.Context, filter []*model.NodeFilter, typeArg string) ([]*model.NodeStatesTimed, error) {\n\trepo := repository.GetNodeRepository()\n\n\tif typeArg == \"node\" {\n\t\tstateCounts, serr := repo.CountStatesTimed(ctx, filter, \"node_state\")\n\t\tif serr != nil {\n\t\t\tcclog.Warnf(\"Error while counting nodeStates in time: %s\", serr.Error())\n\t\t\treturn nil, serr\n\t\t}\n\t\treturn stateCounts, nil\n\t}\n\n\tif typeArg == \"health\" {\n\t\thealthCounts, herr := repo.CountStatesTimed(ctx, filter, \"health_state\")\n\t\tif herr != nil {\n\t\t\tcclog.Warnf(\"Error while counting healthStates in time: %s\", herr.Error())\n\t\t\treturn nil, herr\n\t\t}\n\t\treturn healthCounts, nil\n\t}\n\n\treturn nil, errors.New(\"unknown Node State Query Type\")\n}\n\n// Job is the resolver for the job field.\nfunc (r *queryResolver) Job(ctx context.Context, id string) (*schema.Job, error) {\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\tjob, err := r.Repo.FindByID(ctx, numericID)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while finding job by id\")\n\t\treturn nil, err\n\t}\n\n\tif user := repository.GetUserFromContext(ctx); user != nil &&\n\t\tjob.User != user.Username &&\n\t\tuser.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"you are not allowed to see this job\")\n\t}\n\n\treturn job, nil\n}\n\n// JobMetrics is the resolver for the jobMetrics field.\nfunc (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int) ([]*model.JobMetricWithName, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying job for metrics\")\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobMetricWithName{}\n\tfor name, md := range data {\n\t\tfor scope, metric := range md {\n\t\t\tres = append(res, &model.JobMetricWithName{\n\t\t\t\tName:   name,\n\t\t\t\tScope:  scope,\n\t\t\t\tMetric: metric,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, err\n}\n\n// JobStats is the resolver for the jobStats field.\nfunc (r *queryResolver) JobStats(ctx context.Context, id string, metrics []string) ([]*model.NamedStats, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading jobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := []*model.NamedStats{}\n\tfor name, md := range data {\n\t\tres = append(res, &model.NamedStats{\n\t\t\tName: name,\n\t\t\tData: &md,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// ScopedJobStats is the resolver for the scopedJobStats field.\nfunc (r *queryResolver) ScopedJobStats(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope) ([]*model.NamedStatsWithScope, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadScopedJobStats(job, metrics, scopes, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading scopedJobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := make([]*model.NamedStatsWithScope, 0)\n\tfor name, scoped := range data {\n\t\tfor scope, stats := range scoped {\n\n\t\t\tmdlStats := make([]*model.ScopedStats, 0)\n\t\t\tfor _, stat := range stats {\n\t\t\t\tmdlStats = append(mdlStats, &model.ScopedStats{\n\t\t\t\t\tHostname: stat.Hostname,\n\t\t\t\t\tID:       stat.ID,\n\t\t\t\t\tData:     stat.Data,\n\t\t\t\t})\n\t\t\t}\n\n\t\t\tres = append(res, &model.NamedStatsWithScope{\n\t\t\t\tName:  name,\n\t\t\t\tScope: scope,\n\t\t\t\tStats: mdlStats,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, nil\n}\n\n// Jobs is the resolver for the jobs field.\nfunc (r *queryResolver) Jobs(ctx context.Context, filter []*model.JobFilter, page *model.PageRequest, order *model.OrderByInput) (*model.JobResultList, error) {\n\tif page == nil {\n\t\tpage = &model.PageRequest{\n\t\t\tItemsPerPage: 50,\n\t\t\tPage:         1,\n\t\t}\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, page, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs\")\n\t\treturn nil, err\n\t}\n\n\tcount, err := r.Repo.CountJobs(ctx, filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while counting jobs\")\n\t\treturn nil, err\n\t}\n\n\t// Note: Even if App-Default 'config.Keys.UiDefaults[\"job_list_usePaging\"]' is set, always return hasNextPage boolean.\n\t// Users can decide in frontend to use continuous scroll, even if app-default is paging!\n\t// Skip if page.ItemsPerPage == -1 (\"Load All\" -> No Next Page required, Status Dashboards)\n\t/*\n\t  Example Page 4 @ 10 IpP : Does item 41 exist?\n\t  Minimal Page 41 @ 1 IpP : If len(result) is 1, Page 5 @ 10 IpP exists.\n\t*/\n\thasNextPage := false\n\tif page.ItemsPerPage != -1 {\n\t\tnextPage := &model.PageRequest{\n\t\t\tItemsPerPage: 1,\n\t\t\tPage:         ((page.Page * page.ItemsPerPage) + 1),\n\t\t}\n\t\tnextJobs, err := r.Repo.QueryJobs(ctx, filter, nextPage, order)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while querying next jobs\")\n\t\t\treturn nil, err\n\t\t}\n\t\thasNextPage = len(nextJobs) == 1\n\t}\n\n\treturn &model.JobResultList{Items: jobs, Count: &count, HasNextPage: &hasNextPage}, nil\n}\n\n// JobsStatistics is the resolver for the jobsStatistics field.\nfunc (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobFilter, metrics []string, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, numDurationBins *string, numMetricBins *int) ([]*model.JobsStatistics, error) {\n\tvar err error\n\tvar stats []*model.JobsStatistics\n\n\t// Top Level Defaults\n\tdefaultDurationBins := \"1h\"\n\tdefaultMetricBins := 10\n\n\t// Build requested fields map for selective column computation\n\tstatsFields := []string{\n\t\t\"totalJobs\", \"totalUsers\", \"totalWalltime\", \"totalNodes\", \"totalCores\",\n\t\t\"totalAccs\", \"totalNodeHours\", \"totalCoreHours\", \"totalAccHours\", \"runningJobs\", \"shortJobs\",\n\t}\n\treqFields := make(map[string]bool, len(statsFields))\n\tfetchedMainStats := false\n\tfor _, f := range statsFields {\n\t\tif requireField(ctx, f) {\n\t\t\treqFields[f] = true\n\t\t\tif f != \"runningJobs\" && f != \"shortJobs\" {\n\t\t\t\tfetchedMainStats = true\n\t\t\t}\n\t\t}\n\t}\n\n\tif fetchedMainStats {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n\t\t} else {\n\t\t\tstartGrouped := time.Now()\n\t\t\t// Use request-scoped cache: multiple aliases with same (filter, groupBy)\n\t\t\t// but different sortBy/page hit the DB only once.\n\t\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n\t\t\t\tkey := statsCacheKey(filter, groupBy, reqFields)\n\t\t\t\tvar allStats []*model.JobsStatistics\n\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)\n\t\t\t\t})\n\t\t\t\tif err == nil {\n\t\t\t\t\tstats = sortAndPageStats(allStats, sortBy, page)\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\t}\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {\n\t\tstats = make([]*model.JobsStatistics, 0, 1)\n\t\tstats = append(stats, &model.JobsStatistics{})\n\t}\n\n\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n\t// Only run separate count queries if main stats were not fetched.\n\tif !fetchedMainStats {\n\t\tif groupBy != nil {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n\t\t\t}\n\t\t} else {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n\t\t\t}\n\t\t}\n\t}\n\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif requireField(ctx, \"histDuration\") || requireField(ctx, \"histNumNodes\") || requireField(ctx, \"histNumCores\") || requireField(ctx, \"histNumAccs\") {\n\n\t\tif numDurationBins == nil {\n\t\t\tnumDurationBins = &defaultDurationBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddHistograms(ctx, filter, stats[0], numDurationBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\tif requireField(ctx, \"histMetrics\") {\n\n\t\tif numMetricBins == nil {\n\t\t\tnumMetricBins = &defaultMetricBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddMetricHistograms(ctx, filter, metrics, stats[0], numMetricBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"metric histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// JobsMetricStats is the resolver for the jobsMetricStats field.\nfunc (r *queryResolver) JobsMetricStats(ctx context.Context, filter []*model.JobFilter, metrics []string) ([]*model.JobStats, error) {\n\t// No Paging, Fixed Order by StartTime ASC\n\torder := &model.OrderByInput{\n\t\tField: \"startTime\",\n\t\tType:  \"col\",\n\t\tOrder: \"ASC\",\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, nil, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs for comparison\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobStats{}\n\tfor _, job := range jobs {\n\t\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading comparison jobStats data for job id %d\", job.JobID)\n\t\t\tcontinue\n\t\t\t// return nil, err\n\t\t}\n\n\t\tsres := []*model.NamedStats{}\n\t\tfor name, md := range data {\n\t\t\tsres = append(sres, &model.NamedStats{\n\t\t\t\tName: name,\n\t\t\t\tData: &md,\n\t\t\t})\n\t\t}\n\n\t\tnumThreadsInt := int(job.NumHWThreads)\n\t\tnumAccsInt := int(job.NumAcc)\n\t\tres = append(res, &model.JobStats{\n\t\t\tID:              int(*job.ID),\n\t\t\tJobID:           strconv.Itoa(int(job.JobID)),\n\t\t\tStartTime:       int(job.StartTime),\n\t\t\tDuration:        int(job.Duration),\n\t\t\tCluster:         job.Cluster,\n\t\t\tSubCluster:      job.SubCluster,\n\t\t\tNumNodes:        int(job.NumNodes),\n\t\t\tNumHWThreads:    &numThreadsInt,\n\t\t\tNumAccelerators: &numAccsInt,\n\t\t\tStats:           sres,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// JobsFootprints is the resolver for the jobsFootprints field.\nfunc (r *queryResolver) JobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n\t// NOTE: Legacy Naming! This resolver is for normalized histograms in analysis view only - *Not* related to DB \"footprint\" column!\n\treturn r.jobsFootprints(ctx, filter, metrics)\n}\n\n// RooflineHeatmap is the resolver for the rooflineHeatmap field.\nfunc (r *queryResolver) RooflineHeatmap(ctx context.Context, filter []*model.JobFilter, rows int, cols int, minX float64, minY float64, maxX float64, maxY float64) ([][]float64, error) {\n\treturn r.rooflineHeatmap(ctx, filter, rows, cols, minX, minY, maxX, maxY)\n}\n\n// NodeMetrics is the resolver for the nodeMetrics field.\nfunc (r *queryResolver) NodeMetrics(ctx context.Context, cluster string, nodes []string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time) ([]*model.NodeMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tdefaultMetrics := make([]string, 0)\n\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\tdefaultMetrics = append(defaultMetrics, mc.Name)\n\t}\n\tif metrics == nil {\n\t\tmetrics = defaultMetrics\n\t} else {\n\t\tmetrics = slices.DeleteFunc(metrics, func(metric string) bool {\n\t\t\treturn !slices.Contains(defaultMetrics, metric) // Remove undefined metrics.\n\t\t})\n\t}\n\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\tstateMap, _ := nodeRepo.MapNodes(cluster)\n\n\tnodeMetrics := make([]*model.NodeMetrics, 0, len(data))\n\tfor hostname, metrics := range data {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost:    hostname,\n\t\t\tState:   stateMap[hostname],\n\t\t\tMetrics: make([]*model.JobMetricWithName, 0, len(metrics)*len(scopes)),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName:   metric,\n\t\t\t\t\tScope:  schema.MetricScopeNode,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetrics = append(nodeMetrics, host)\n\t}\n\n\treturn nodeMetrics, nil\n}\n\n// NodeMetricsList is the resolver for the nodeMetricsList field.\nfunc (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int) (*model.NodesResultList, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\t// nodes -> array hostname\n\tnodes, stateMap, countNodes, hasNextPage, nerr := nodeRepo.GetNodesForList(ctx, cluster, subCluster, stateFilter, nodeFilter, page)\n\tif nerr != nil {\n\t\treturn nil, errors.New(\"could not retrieve node list required for resolving NodeMetricsList\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\t// data -> map hostname:jobdata\n\tdata, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data (Resolver.NodeMetricsList\")\n\t\treturn nil, err\n\t}\n\n\tnodeMetricsList := make([]*model.NodeMetrics, 0, len(data))\n\tfor _, hostname := range nodes {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost:    hostname,\n\t\t\tState:   stateMap[hostname],\n\t\t\tMetrics: make([]*model.JobMetricWithName, 0),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range data[hostname] {\n\t\t\tfor scope, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName:   metric,\n\t\t\t\t\tScope:  scope,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetricsList = append(nodeMetricsList, host)\n\t}\n\n\tnodeMetricsListResult := &model.NodesResultList{\n\t\tItems: nodeMetricsList,\n\t\t// TotalNodes depends on sum of nodes grouped on latest timestamp, see repo/node.go:357\n\t\tTotalNodes:  &countNodes,\n\t\tHasNextPage: &hasNextPage,\n\t}\n\n\treturn nodeMetricsListResult, nil\n}\n\n// ClusterMetrics is the resolver for the clusterMetrics field.\nfunc (r *queryResolver) ClusterMetrics(ctx context.Context, cluster string, metrics []string, from time.Time, to time.Time) (*model.ClusterMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\t// 'nodes' == nil -> Defaults to all nodes of cluster for existing query workflow\n\tscopes := []schema.MetricScope{\"node\"}\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nil, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tclusterMetricData := make([]*model.ClusterMetricWithName, 0)\n\tclusterMetrics := model.ClusterMetrics{NodeCount: 0, Metrics: clusterMetricData}\n\n\tcollectorTimestep := make(map[string]int)\n\tcollectorUnit := make(map[string]schema.Unit)\n\tcollectorData := make(map[string][]schema.Float)\n\n\tfor _, metrics := range data {\n\t\tclusterMetrics.NodeCount += 1\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\t// Collect Info Once\n\t\t\t\t_, okTimestep := collectorTimestep[metric]\n\t\t\t\tif !okTimestep {\n\t\t\t\t\tcollectorTimestep[metric] = scopedMetric.Timestep\n\t\t\t\t}\n\t\t\t\t_, okUnit := collectorUnit[metric]\n\t\t\t\tif !okUnit {\n\t\t\t\t\tcollectorUnit[metric] = scopedMetric.Unit\n\t\t\t\t}\n\t\t\t\t// Collect Data\n\t\t\t\tfor _, ser := range scopedMetric.Series {\n\t\t\t\t\t_, okData := collectorData[metric]\n\t\t\t\t\t// Init With Datasize > 0\n\t\t\t\t\tif !okData && len(ser.Data) != 0 {\n\t\t\t\t\t\tcollectorData[metric] = make([]schema.Float, len(ser.Data))\n\t\t\t\t\t} else if !okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip init: no data -> %s at %s; size %d\", metric, ser.Hostname, len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t\t// Sum if init'd and matching size\n\t\t\t\t\tif okData && len(ser.Data) == len(collectorData[metric]) {\n\t\t\t\t\t\tfor i, val := range ser.Data {\n\t\t\t\t\t\t\tif val.IsNaN() {\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tcollectorData[metric][i] += val\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else if okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip sum: data diff -> %s at %s; want size %d, have size %d\", metric, ser.Hostname, len(collectorData[metric]), len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tfor metricName, data := range collectorData {\n\t\t// use ccUnits for backend normalization to \"Tera\"\n\t\tp_old := ccunit.NewPrefix(collectorUnit[metricName].Prefix)\n\t\tp_new := ccunit.NewPrefix(\"T\")\n\t\tconvFunc := ccunit.GetPrefixPrefixFactor(p_old, p_new)\n\t\tu_new := schema.Unit{Prefix: p_new.Prefix(), Base: collectorUnit[metricName].Base}\n\n\t\troundedData := make([]schema.Float, 0)\n\t\tfor _, v_old := range data {\n\t\t\tv_new := math.Round(convFunc(float64(v_old)).(float64)*100.0) / 100.0\n\t\t\troundedData = append(roundedData, schema.Float(v_new))\n\t\t}\n\n\t\tcm := model.ClusterMetricWithName{\n\t\t\tName:     metricName,\n\t\t\tUnit:     &u_new,\n\t\t\tTimestep: collectorTimestep[metricName],\n\t\t\tData:     roundedData,\n\t\t}\n\n\t\tclusterMetrics.Metrics = append(clusterMetrics.Metrics, &cm)\n\t}\n\n\treturn &clusterMetrics, nil\n}\n\n// NumberOfNodes is the resolver for the numberOfNodes field.\nfunc (r *subClusterResolver) NumberOfNodes(ctx context.Context, obj *schema.SubCluster) (int, error) {\n\tnodeList, err := archive.ParseNodeList(obj.Nodes)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn nodeList.NodeCount(), nil\n}\n\n// Cluster returns generated.ClusterResolver implementation.\nfunc (r *Resolver) Cluster() generated.ClusterResolver { return &clusterResolver{r} }\n\n// Job returns generated.JobResolver implementation.\nfunc (r *Resolver) Job() generated.JobResolver { return &jobResolver{r} }\n\n// MetricValue returns generated.MetricValueResolver implementation.\nfunc (r *Resolver) MetricValue() generated.MetricValueResolver { return &metricValueResolver{r} }\n\n// Mutation returns generated.MutationResolver implementation.\nfunc (r *Resolver) Mutation() generated.MutationResolver { return &mutationResolver{r} }\n\n// Node returns generated.NodeResolver implementation.\nfunc (r *Resolver) Node() generated.NodeResolver { return &nodeResolver{r} }\n\n// Query returns generated.QueryResolver implementation.\nfunc (r *Resolver) Query() generated.QueryResolver { return &queryResolver{r} }\n\n// SubCluster returns generated.SubClusterResolver implementation.\nfunc (r *Resolver) SubCluster() generated.SubClusterResolver { return &subClusterResolver{r} }\n\ntype clusterResolver struct{ *Resolver }\ntype jobResolver struct{ *Resolver }\ntype metricValueResolver struct{ *Resolver }\ntype mutationResolver struct{ *Resolver }\ntype nodeResolver struct{ *Resolver }\ntype queryResolver struct{ *Resolver }\ntype subClusterResolver struct{ *Resolver }\n","structuredPatch":[{"oldStart":676,"oldLines":6,"newStart":676,"newLines":11,"lines":["       // Use request-scoped cache: multiple aliases with same (filter, groupBy)","       // but different sortBy/page hit the DB only once.","       if cache := getStatsGroupCache(ctx); cache != nil {","+        // Ensure the sort field is computed even if not in the GraphQL selection,","+        // because sortAndPageStats will sort by it in memory.","+        if sortBy != nil {","+          reqFields[sortByFieldName(*sortBy)] = true","+        }","         key := statsCacheKey(filter, groupBy, reqFields)","         var allStats []*model.JobsStatistics","         allStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"7dd4fb19-4d12-41e3-8b38-d5df90cebe51","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
+{"parentUuid":"af1065eb-b4bf-4c07-bcf4-cbc077f604ce","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Mgc6S1Bxq4ikEe2Q9hubu6","type":"message","role":"assistant","content":[{"type":"text","text":"The LSP diagnostic is stale — the function is used in the resolver. Let me verify it builds:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":548,"cache_read_input_tokens":35613,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":548},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZCFicx61ELhEHFhv9eg3","type":"assistant","uuid":"1a371f6f-3193-4f29-89d2-8cf995a8aa71","timestamp":"2026-03-19T10:08:13.544Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
+{"parentUuid":"1a371f6f-3193-4f29-89d2-8cf995a8aa71","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Mgc6S1Bxq4ikEe2Q9hubu6","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011VKcBz6SiiM4LbhDXyu25U","name":"Bash","input":{"command":"go build ./...","description":"Build to verify changes compile"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":548,"cache_read_input_tokens":35613,"output_tokens":117,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":548,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZCFicx61ELhEHFhv9eg3","type":"assistant","uuid":"9c183eec-fb44-4f15-954f-e8eb1f52f236","timestamp":"2026-03-19T10:08:14.356Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
+{"parentUuid":"9c183eec-fb44-4f15-954f-e8eb1f52f236","isSidechain":false,"promptId":"1b7f536d-4c30-4f96-96d7-9fb0529def53","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011VKcBz6SiiM4LbhDXyu25U","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"uuid":"209257dd-8f10-4a1b-8699-e57c247fff88","timestamp":"2026-03-19T10:08:19.940Z","toolUseResult":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"9c183eec-fb44-4f15-954f-e8eb1f52f236","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
+{"parentUuid":"209257dd-8f10-4a1b-8699-e57c247fff88","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01X5UJeusSfZvsZYrokJ3QS2","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SGEVgv8iFkVMpaF4L69hSH","name":"Bash","input":{"command":"go test ./internal/repository/... ./internal/graph/...","description":"Run tests"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":116,"cache_read_input_tokens":36161,"output_tokens":82,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":116,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZCFjE7gbhEBatu13hNAd","type":"assistant","uuid":"0821f07d-59e6-4ded-b0b3-79bed3705084","timestamp":"2026-03-19T10:08:22.331Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
+{"parentUuid":"0821f07d-59e6-4ded-b0b3-79bed3705084","isSidechain":false,"promptId":"1b7f536d-4c30-4f96-96d7-9fb0529def53","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SGEVgv8iFkVMpaF4L69hSH","type":"tool_result","content":"ok  \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t(cached)\n?   \tgithub.com/ClusterCockpit/cc-backend/internal/graph\t[no test files]\n?   \tgithub.com/ClusterCockpit/cc-backend/internal/graph/generated\t[no test files]\n?   \tgithub.com/ClusterCockpit/cc-backend/internal/graph/model\t[no test files]","is_error":false}]},"uuid":"00805ee4-37c5-4dd7-b63d-0b6b0f83648c","timestamp":"2026-03-19T10:08:22.728Z","toolUseResult":{"stdout":"ok  \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t(cached)\n?   \tgithub.com/ClusterCockpit/cc-backend/internal/graph\t[no test files]\n?   \tgithub.com/ClusterCockpit/cc-backend/internal/graph/generated\t[no test files]\n?   \tgithub.com/ClusterCockpit/cc-backend/internal/graph/model\t[no test files]","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"0821f07d-59e6-4ded-b0b3-79bed3705084","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
+{"parentUuid":"00805ee4-37c5-4dd7-b63d-0b6b0f83648c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Ao8Gn4A6FhpFjUtQtozmE6","type":"message","role":"assistant","content":[{"type":"text","text":"All clean. Let me also think about one more edge case — map mutation. The `reqFields` map is built once per resolver call. In the cache path, we mutate it by adding the sortBy field. This is fine because:\n\n1. Each GraphQL alias invokes the resolver separately with its own `reqFields` map\n2. The mutation happens before the cache key is computed, so the key correctly reflects what's being computed\n\nBut wait — there's a subtlety. If `reqFields` doesn't include the sortBy field and we add it, then the map now has that field. This changes the cache key, which means a second alias with identical selection but *without* the sortBy won't share the cache. That's correct — the data sets are different (one has the extra column computed, one doesn't). But could this cause a problem if two aliases have the same fields but different sortBy values?\n\nLet me trace through: Alias A has `{totalJobs}` + `sortBy=TOTALWALLTIME` → reqFields becomes `{totalJobs, totalWalltime}`. Alias B has `{totalJobs}` + `sortBy=TOTALCOREHOURS` → reqFields becomes `{totalJobs, totalCoreHours}`. Different cache keys, different DB queries, both correct. Good.\n\nNow let me also verify that the `reqFields` map doesn't get mutated after it's used as a cache key (map values in `fmt.Sprintf` are printed at the time of the call, not later):"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":203,"cache_read_input_tokens":36277,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":203},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZCFjS4XNyWLUj4eZmP4L","type":"assistant","uuid":"78ca549f-10af-4efa-80ca-c71749b2b2f9","timestamp":"2026-03-19T10:08:36.332Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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+{"parentUuid":"34218e94-12df-4754-b1b4-2ebdceed7c49","isSidechain":false,"promptId":"1b7f536d-4c30-4f96-96d7-9fb0529def53","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MQXNTjKRw85PdCRDh2Sar5","type":"tool_result","content":"   675→\t\t\tstartGrouped := time.Now()\n   676→\t\t\t// Use request-scoped cache: multiple aliases with same (filter, groupBy)\n   677→\t\t\t// but different sortBy/page hit the DB only once.\n   678→\t\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n   679→\t\t\t\t// Ensure the sort field is computed even if not in the GraphQL selection,\n   680→\t\t\t\t// because sortAndPageStats will sort by it in memory.\n   681→\t\t\t\tif sortBy != nil {\n   682→\t\t\t\t\treqFields[sortByFieldName(*sortBy)] = true\n   683→\t\t\t\t}\n   684→\t\t\t\tkey := statsCacheKey(filter, groupBy, reqFields)\n   685→\t\t\t\tvar allStats []*model.JobsStatistics\n   686→\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n   687→\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)\n   688→\t\t\t\t})\n   689→\t\t\t\tif err == nil {\n   690→\t\t\t\t\tstats = sortAndPageStats(allStats, sortBy, page)\n   691→\t\t\t\t}\n   692→\t\t\t} else {\n   693→\t\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n   694→\t\t\t}\n   695→\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n   696→\t\t}\n   697→\t} else {\n   698→\t\tstats = make([]*model.JobsStatistics, 0, 1)\n   699→\t\tstats = append(stats, &model.JobsStatistics{})\n   700→\t}\n   701→\n   702→\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n   703→\t// Only run separate count queries if main stats were not fetched.\n   704→\tif !fetchedMainStats {"}]},"uuid":"be97d1ae-7778-4c7c-87c6-ad8658d250b4","timestamp":"2026-03-19T10:08:37.740Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","content":"\t\t\tstartGrouped := time.Now()\n\t\t\t// Use request-scoped cache: multiple aliases with same (filter, groupBy)\n\t\t\t// but different sortBy/page hit the DB only once.\n\t\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n\t\t\t\t// Ensure the sort field is computed even if not in the GraphQL selection,\n\t\t\t\t// because sortAndPageStats will sort by it in memory.\n\t\t\t\tif sortBy != nil {\n\t\t\t\t\treqFields[sortByFieldName(*sortBy)] = true\n\t\t\t\t}\n\t\t\t\tkey := statsCacheKey(filter, groupBy, reqFields)\n\t\t\t\tvar allStats []*model.JobsStatistics\n\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)\n\t\t\t\t})\n\t\t\t\tif err == nil {\n\t\t\t\t\tstats = sortAndPageStats(allStats, sortBy, page)\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\t}\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {\n\t\tstats = make([]*model.JobsStatistics, 0, 1)\n\t\tstats = append(stats, &model.JobsStatistics{})\n\t}\n\n\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n\t// Only run separate count queries if main stats were not fetched.\n\tif !fetchedMainStats {","numLines":30,"startLine":675,"totalLines":1080}},"sourceToolAssistantUUID":"34218e94-12df-4754-b1b4-2ebdceed7c49","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
+{"parentUuid":"be97d1ae-7778-4c7c-87c6-ad8658d250b4","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01JKSNDcz58eybkmUvNHuSNj","type":"message","role":"assistant","content":[{"type":"text","text":"The code looks correct. The `reqFields` map is mutated before the cache key is computed, and the same map is captured by the closure passed to `getOrCompute`, so the DB query will compute the sort field. No further mutations happen after.\n\nHere's a summary of all changes:\n\n### `internal/graph/stats_cache.go`\n\n1. **`statsCacheKey`** — now accepts `reqFields map[string]bool` as a third parameter and includes it in the cache key, so requests with different field sets get separate cache entries.\n\n2. **`sortByFieldName`** (new) — maps `SortByAggregate` enum values to `reqFields` key names (e.g., `TOTALWALLTIME` → `\"totalWalltime\"`). Used to ensure the DB computes the column needed for in-memory sorting.\n\n### `internal/graph/schema.resolvers.go`\n\n1. **Cache path** — now passes `reqFields` (instead of `nil`) to `JobsStatsGrouped`, so only requested columns are computed. Before the cache key is built, the `sortBy` field is injected into `reqFields` to prevent sorting by a zeroed-out column.\n\n### Why this is safe\n\n- **Project list** (`groupBy=PROJECT`, no `totalUsers` in selection): `COUNT(DISTINCT hpc_user)` is skipped → fast\n- **User list** (`groupBy=USER`, no `totalUsers` in selection): same benefit (marginal since it was already trivially fast)\n- **Status page** (`groupBy=SUBCLUSTER`, selects `totalUsers`): `COUNT(DISTINCT hpc_user)` is computed → no regression\n- **Sort correctness**: `sortBy` field is always included in `reqFields` before the DB query, so `sortAndPageStats` never sorts by a zeroed column\n- **Cache correctness**: `reqFields` is part of the cache key, so different field sets don't share stale results"}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1076,"cache_read_input_tokens":36480,"output_tokens":457,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1076,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZCFkYorRQuYyswQExhgQ","type":"assistant","uuid":"fb9dfbde-6e18-4bd9-9cab-4ee0738a6af8","timestamp":"2026-03-19T10:08:50.381Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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+{"type":"last-prompt","lastPrompt":"Dig deeper","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe"}
+{"type":"custom-title","customTitle":"fix-slow-project-stats-query","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe"}
+{"type":"agent-name","agentName":"fix-slow-project-stats-query","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe"}
diff --git a/9b/5b833472e1/0/metadata.json b/9b/5b833472e1/0/metadata.json
new file mode 100644
index 00000000..dabbeb8e
--- /dev/null
+++ b/9b/5b833472e1/0/metadata.json
@@ -0,0 +1,36 @@
+{
+  "cli_version": "0.5.0",
+  "checkpoint_id": "9b5b833472e1",
+  "session_id": "c8010cd5-db40-4104-813d-673a42ac9dbe",
+  "strategy": "manual-commit",
+  "created_at": "2026-03-20T04:39:20.325642Z",
+  "branch": "hotfix",
+  "checkpoints_count": 1,
+  "files_touched": [
+    "internal/graph/schema.resolvers.go",
+    "internal/graph/stats_cache.go"
+  ],
+  "agent": "Claude Code",
+  "turn_id": "ab17f9d07cdd",
+  "checkpoint_transcript_start": 34,
+  "transcript_lines_at_start": 34,
+  "token_usage": {
+    "input_tokens": 13,
+    "cache_creation_tokens": 31151,
+    "cache_read_tokens": 339830,
+    "output_tokens": 4968,
+    "api_call_count": 11
+  },
+  "session_metrics": {
+    "turn_count": 2
+  },
+  "initial_attribution": {
+    "calculated_at": "2026-03-20T04:39:20.181086Z",
+    "agent_lines": 32,
+    "human_added": 0,
+    "human_modified": 0,
+    "human_removed": 0,
+    "total_committed": 32,
+    "agent_percentage": 100
+  }
+}
diff --git a/9b/5b833472e1/0/prompt.txt b/9b/5b833472e1/0/prompt.txt
new file mode 100644
index 00000000..2830228f
--- /dev/null
+++ b/9b/5b833472e1/0/prompt.txt
@@ -0,0 +1 @@
+Dig deeper
\ No newline at end of file
diff --git a/9b/5b833472e1/metadata.json b/9b/5b833472e1/metadata.json
new file mode 100644
index 00000000..abc325f2
--- /dev/null
+++ b/9b/5b833472e1/metadata.json
@@ -0,0 +1,26 @@
+{
+  "cli_version": "0.5.0",
+  "checkpoint_id": "9b5b833472e1",
+  "strategy": "manual-commit",
+  "branch": "hotfix",
+  "checkpoints_count": 1,
+  "files_touched": [
+    "internal/graph/schema.resolvers.go",
+    "internal/graph/stats_cache.go"
+  ],
+  "sessions": [
+    {
+      "metadata": "/9b/5b833472e1/0/metadata.json",
+      "transcript": "/9b/5b833472e1/0/full.jsonl",
+      "content_hash": "/9b/5b833472e1/0/content_hash.txt",
+      "prompt": "/9b/5b833472e1/0/prompt.txt"
+    }
+  ],
+  "token_usage": {
+    "input_tokens": 13,
+    "cache_creation_tokens": 31151,
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+    "output_tokens": 4968,
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+  }
+}
diff --git a/a1/e2931d4deb/0/content_hash.txt b/a1/e2931d4deb/0/content_hash.txt
new file mode 100644
index 00000000..cdb2caaa
--- /dev/null
+++ b/a1/e2931d4deb/0/content_hash.txt
@@ -0,0 +1 @@
+sha256:11ee7bda486799c763640dba8a41eefc257c11d45f3d7c5e80f4da332c75a004
\ No newline at end of file
diff --git a/a1/e2931d4deb/0/full.jsonl b/a1/e2931d4deb/0/full.jsonl
new file mode 100644
index 00000000..4d2443bf
--- /dev/null
+++ b/a1/e2931d4deb/0/full.jsonl
@@ -0,0 +1,101 @@
+{"type":"file-history-snapshot","messageId":"0cc8876b-10ce-4edf-943f-0617397039d7","snapshot":{"messageId":"0cc8876b-10ce-4edf-943f-0617397039d7","trackedFileBackups":{},"timestamp":"2026-03-16T10:12:35.009Z"},"isSnapshotUpdate":false}
+{"parentUuid":null,"isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"b00ef795-93ec-48c5-8adf-d49a96a2ed32","toolUseID":"b00ef795-93ec-48c5-8adf-d49a96a2ed32","timestamp":"2026-03-16T10:12:34.962Z","uuid":"62323b49-5343-4dbc-9e12-4595d1cbe76a","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"62323b49-5343-4dbc-9e12-4595d1cbe76a","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Fix: SQLite Write Contention Causing OOM Crash\n\n## Context\n\nThe server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.\n\n**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.\n\nThe cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.\n\n---\n\n## Fix 1: Increase busy_timeout (contention relief)\n\n**File:** `internal/repository/dbConnection.go:73`\n\nChange `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:\n\n**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.\n\n**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.\n\n**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.\n\nWith 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.\n\n---\n\n## Fix 2: Batch Node State Updates in a Transaction\n\nCurrently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.\n\n**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:\n- Accept a slice of `(hostname, cluster, nodeState)` tuples\n- Begin transaction\n- For each node: lookup ID (or insert node), then insert state — all within the same transaction\n- Commit once\n\n**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.\n\n**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).\n\nKeep the existing `UpdateNodeState` method for single-node use cases.\n\n---\n\n## Fix 3: Fix LDAP Sync Race Condition\n\nThe LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.\n\n**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:\n```go\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n    rolesJson, _ := json.Marshal(user.Roles)\n    projectsJson, _ := json.Marshal(user.Projects)\n    cols := \"username, name, roles, projects, ldap\"\n    _, err := r.DB.Exec(\n        `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,\n        user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n    return err\n}\n```\n\n**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.\n\nNote: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.\n\n---\n\n## Fix 4: Add Semaphore for NATS Handlers\n\nWithout rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.\n\n**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:\n```go\ntype NatsAPI struct {\n    JobRepository   *repository.JobRepository\n    RepositoryMutex sync.Mutex\n    jobSem          chan struct{}\n    nodeSem         chan struct{}\n}\n```\n\nInitialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.\n\nAdd acquire/release in `handleJobEvent` and `handleNodeState`:\n```go\napi.jobSem <- struct{}{}\ndefer func() { <-api.jobSem }()\n```\n\nThis caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.\n\n---\n\n## Fix 5: Wrap SyncJobs in a Transaction\n\n**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)\n\nCurrently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:\n- `tx, err := r.DB.Beginx()`\n- Run all three operations on `tx`\n- `tx.Commit()`\n- Do the read-only ID resolution outside the transaction\n\nThis reduces lock acquisitions from 3 to 1 and ensures atomicity.\n\n---\n\n## Implementation Order\n\n1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact\n2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change\n3. **Fix 2** (batch node states) — biggest contention reduction\n4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction\n5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation\n\n---\n\n## Verification\n\n1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.\n2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.\n3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.\n4. Run `go test ./internal/repository/... ./internal/api/... ./internal/auth/...` after all changes.\n5. Load test: simulate burst of 100+ concurrent job start/stop events + node state update with 500 nodes + LDAP sync running simultaneously. Monitor goroutine count and memory.\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/d36fdafb-27dd-4101-b89a-e2bec3f83825.jsonl"},"uuid":"0cc8876b-10ce-4edf-943f-0617397039d7","timestamp":"2026-03-16T10:12:34.796Z","planContent":"# Fix: SQLite Write Contention Causing OOM Crash\n\n## Context\n\nThe server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.\n\n**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.\n\nThe cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.\n\n---\n\n## Fix 1: Increase busy_timeout (contention relief)\n\n**File:** `internal/repository/dbConnection.go:73`\n\nChange `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:\n\n**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.\n\n**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.\n\n**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.\n\nWith 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.\n\n---\n\n## Fix 2: Batch Node State Updates in a Transaction\n\nCurrently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.\n\n**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:\n- Accept a slice of `(hostname, cluster, nodeState)` tuples\n- Begin transaction\n- For each node: lookup ID (or insert node), then insert state — all within the same transaction\n- Commit once\n\n**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.\n\n**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).\n\nKeep the existing `UpdateNodeState` method for single-node use cases.\n\n---\n\n## Fix 3: Fix LDAP Sync Race Condition\n\nThe LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.\n\n**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:\n```go\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n    rolesJson, _ := json.Marshal(user.Roles)\n    projectsJson, _ := json.Marshal(user.Projects)\n    cols := \"username, name, roles, projects, ldap\"\n    _, err := r.DB.Exec(\n        `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,\n        user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n    return err\n}\n```\n\n**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.\n\nNote: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.\n\n---\n\n## Fix 4: Add Semaphore for NATS Handlers\n\nWithout rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.\n\n**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:\n```go\ntype NatsAPI struct {\n    JobRepository   *repository.JobRepository\n    RepositoryMutex sync.Mutex\n    jobSem          chan struct{}\n    nodeSem         chan struct{}\n}\n```\n\nInitialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.\n\nAdd acquire/release in `handleJobEvent` and `handleNodeState`:\n```go\napi.jobSem <- struct{}{}\ndefer func() { <-api.jobSem }()\n```\n\nThis caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.\n\n---\n\n## Fix 5: Wrap SyncJobs in a Transaction\n\n**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)\n\nCurrently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:\n- `tx, err := r.DB.Beginx()`\n- Run all three operations on `tx`\n- `tx.Commit()`\n- Do the read-only ID resolution outside the transaction\n\nThis reduces lock acquisitions from 3 to 1 and ensures atomicity.\n\n---\n\n## Implementation Order\n\n1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact\n2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change\n3. **Fix 2** (batch node states) — biggest contention reduction\n4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction\n5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation\n\n---\n\n## Verification\n\n1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.\n2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.\n3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.\n4. Run `go test ./internal/repository/... ./internal/api/... ./internal/auth/...` after all changes.\n5. Load test: simulate burst of 100+ concurrent job start/stop events + node state update with 500 nodes + LDAP sync running simultaneously. Monitor goroutine count and memory.\n","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"0e3b4b9e-99f8-48be-903e-a49279316f25","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TzRH5T8DTsP1Dn1zhjYuLh","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"database/sql\"\n    10→\t\"fmt\"\n    11→\t\"net/url\"\n    12→\t\"sync\"\n    13→\t\"time\"\n    14→\n    15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    16→\t\"github.com/jmoiron/sqlx\"\n    17→\t\"github.com/mattn/go-sqlite3\"\n    18→\t\"github.com/qustavo/sqlhooks/v2\"\n    19→)\n    20→\n    21→var (\n    22→\tdbConnOnce     sync.Once\n    23→\tdbConnInstance *DBConnection\n    24→)\n    25→\n    26→type DBConnection struct {\n    27→\tDB     *sqlx.DB\n    28→\tDriver string\n    29→}\n    30→\n    31→type DatabaseOptions struct {\n    32→\tURL                   string\n    33→\tMaxOpenConnections    int\n    34→\tMaxIdleConnections    int\n    35→\tConnectionMaxLifetime time.Duration\n    36→\tConnectionMaxIdleTime time.Duration\n    37→}\n    38→\n    39→func setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n    40→\tpragmas := []string{\n    41→\t\t\"temp_store = memory\",\n    42→\t\tfmt.Sprintf(\"soft_heap_limit = %d\", int64(cfg.DbSoftHeapLimitMB)*1024*1024),\n    43→\t}\n    44→\n    45→\tfor _, pragma := range pragmas {\n    46→\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n    47→\t\tif err != nil {\n    48→\t\t\treturn err\n    49→\t\t}\n    50→\t}\n    51→\n    52→\treturn nil\n    53→}\n    54→\n    55→func Connect(db string) {\n    56→\tvar err error\n    57→\tvar dbHandle *sqlx.DB\n    58→\n    59→\tdbConnOnce.Do(func() {\n    60→\t\topts := DatabaseOptions{\n    61→\t\t\tURL:                   db,\n    62→\t\t\tMaxOpenConnections:    repoConfig.MaxOpenConnections,\n    63→\t\t\tMaxIdleConnections:    repoConfig.MaxIdleConnections,\n    64→\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n    65→\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n    66→\t\t}\n    67→\n    68→\t\t// TODO: Have separate DB handles for Writes and Reads\n    69→\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n    70→\t\tconnectionURLParams := make(url.Values)\n    71→\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n    72→\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n    73→\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n    74→\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n    75→\t\tcacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\n    76→\t\tconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))\n    77→\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n    78→\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n    79→\n    80→\t\tif cclog.Loglevel() == \"debug\" {\n    81→\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n    82→\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n    83→\t\t} else {\n    84→\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n    85→\t\t}\n    86→\n    87→\t\tif err != nil {\n    88→\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n    89→\t\t}\n    90→\n    91→\t\terr = setupSqlite(dbHandle.DB, repoConfig)\n    92→\t\tif err != nil {\n    93→\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n    94→\t\t}\n    95→\n    96→\t\tcclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n    97→\t\t\trepoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n    98→\n    99→\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n   100→\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n   101→\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n   102→\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n   103→\n   104→\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n   105→\t\terr = checkDBVersion(dbHandle.DB)\n   106→\t\tif err != nil {\n   107→\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n   108→\t\t}\n   109→\t})\n   110→}\n   111→\n   112→func GetConnection() *DBConnection {\n   113→\tif dbConnInstance == nil {\n   114→\t\tcclog.Fatalf(\"Database connection not initialized!\")\n   115→\t}\n   116→\n   117→\treturn dbConnInstance\n   118→}\n   119→\n   120→// ResetConnection closes the current database connection and resets the connection state.\n   121→// This function is intended for testing purposes only to allow test isolation.\n   122→func ResetConnection() error {\n   123→\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n   124→\t\tif err := dbConnInstance.DB.Close(); err != nil {\n   125→\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n   126→\t\t}\n   127→\t}\n   128→\n   129→\tdbConnInstance = nil\n   130→\tdbConnOnce = sync.Once{}\n   131→\tjobRepoInstance = nil\n   132→\tjobRepoOnce = sync.Once{}\n   133→\tnodeRepoInstance = nil\n   134→\tnodeRepoOnce = sync.Once{}\n   135→\tuserRepoInstance = nil\n   136→\tuserRepoOnce = sync.Once{}\n   137→\tuserCfgRepoInstance = nil\n   138→\tuserCfgRepoOnce = sync.Once{}\n   139→\n   140→\treturn nil\n   141→}\n   142→"}]},"uuid":"053ca6d0-ed8d-4c44-8b34-5684b920c55c","timestamp":"2026-03-16T10:12:39.544Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/dbConnection.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"fmt\"\n\t\"net/url\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"github.com/mattn/go-sqlite3\"\n\t\"github.com/qustavo/sqlhooks/v2\"\n)\n\nvar (\n\tdbConnOnce     sync.Once\n\tdbConnInstance *DBConnection\n)\n\ntype DBConnection struct {\n\tDB     *sqlx.DB\n\tDriver string\n}\n\ntype DatabaseOptions struct {\n\tURL                   string\n\tMaxOpenConnections    int\n\tMaxIdleConnections    int\n\tConnectionMaxLifetime time.Duration\n\tConnectionMaxIdleTime time.Duration\n}\n\nfunc setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t\tfmt.Sprintf(\"soft_heap_limit = %d\", int64(cfg.DbSoftHeapLimitMB)*1024*1024),\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc Connect(db string) {\n\tvar err error\n\tvar dbHandle *sqlx.DB\n\n\tdbConnOnce.Do(func() {\n\t\topts := DatabaseOptions{\n\t\t\tURL:                   db,\n\t\t\tMaxOpenConnections:    repoConfig.MaxOpenConnections,\n\t\t\tMaxIdleConnections:    repoConfig.MaxIdleConnections,\n\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n\t\t}\n\n\t\t// TODO: Have separate DB handles for Writes and Reads\n\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n\t\tconnectionURLParams := make(url.Values)\n\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n\t\tcacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\n\t\tconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))\n\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n\n\t\tif cclog.Loglevel() == \"debug\" {\n\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n\t\t} else {\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n\t\t}\n\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\terr = setupSqlite(dbHandle.DB, repoConfig)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tcclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n\t\t\trepoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n\n\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n\t\terr = checkDBVersion(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n\t\t}\n\t})\n}\n\nfunc GetConnection() *DBConnection {\n\tif dbConnInstance == nil {\n\t\tcclog.Fatalf(\"Database connection not initialized!\")\n\t}\n\n\treturn dbConnInstance\n}\n\n// ResetConnection closes the current database connection and resets the connection state.\n// This function is intended for testing purposes only to allow test isolation.\nfunc ResetConnection() error {\n\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n\t\tif err := dbConnInstance.DB.Close(); err != nil {\n\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n\t\t}\n\t}\n\n\tdbConnInstance = nil\n\tdbConnOnce = sync.Once{}\n\tjobRepoInstance = nil\n\tjobRepoOnce = sync.Once{}\n\tnodeRepoInstance = nil\n\tnodeRepoOnce = sync.Once{}\n\tuserRepoInstance = nil\n\tuserRepoOnce = sync.Once{}\n\tuserCfgRepoInstance = nil\n\tuserCfgRepoOnce = sync.Once{}\n\n\treturn nil\n}\n","numLines":142,"startLine":1,"totalLines":142}},"sourceToolAssistantUUID":"0e3b4b9e-99f8-48be-903e-a49279316f25","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"352d7440-d01b-4d22-bd9c-3f56616211e2","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012orF9pg72YJWFiTr5U3zzS","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import \"time\"\n     9→\n    10→// RepositoryConfig holds configuration for repository operations.\n    11→// All fields have sensible defaults, so this configuration is optional.\n    12→type RepositoryConfig struct {\n    13→\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n    14→\t// Default: 1MB (1024 * 1024 bytes)\n    15→\tCacheSize int\n    16→\n    17→\t// MaxOpenConnections is the maximum number of open database connections.\n    18→\t// Default: 4\n    19→\tMaxOpenConnections int\n    20→\n    21→\t// MaxIdleConnections is the maximum number of idle database connections.\n    22→\t// Default: 4\n    23→\tMaxIdleConnections int\n    24→\n    25→\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n    26→\t// Default: 1 hour\n    27→\tConnectionMaxLifetime time.Duration\n    28→\n    29→\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n    30→\t// Default: 10 minutes\n    31→\tConnectionMaxIdleTime time.Duration\n    32→\n    33→\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n    34→\t// considered in \"running jobs\" queries. This filters out very short jobs.\n    35→\t// Default: 600 seconds (10 minutes)\n    36→\tMinRunningJobDuration int\n    37→\n    38→\t// DbCacheSizeMB is the SQLite page cache size per connection in MB.\n    39→\t// Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n    40→\t// and DbCacheSizeMB=2048, total page cache is up to 8GB.\n    41→\t// Default: 2048 (2GB)\n    42→\tDbCacheSizeMB int\n    43→\n    44→\t// DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n    45→\t// SQLite will try to release cache pages to stay under this limit.\n    46→\t// It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n    47→\t// Default: 16384 (16GB)\n    48→\tDbSoftHeapLimitMB int\n    49→}\n    50→\n    51→// DefaultConfig returns the default repository configuration.\n    52→// These values are optimized for typical deployments.\n    53→func DefaultConfig() *RepositoryConfig {\n    54→\treturn &RepositoryConfig{\n    55→\t\tCacheSize:             1 * 1024 * 1024, // 1MB\n    56→\t\tMaxOpenConnections:    4,\n    57→\t\tMaxIdleConnections:    4,\n    58→\t\tConnectionMaxLifetime: time.Hour,\n    59→\t\tConnectionMaxIdleTime: 10 * time.Minute,\n    60→\t\tMinRunningJobDuration: 600, // 10 minutes\n    61→\t\tDbCacheSizeMB:        2048,  // 2GB per connection\n    62→\t\tDbSoftHeapLimitMB:    16384, // 16GB process-wide\n    63→\t}\n    64→}\n    65→\n    66→// repoConfig is the package-level configuration instance.\n    67→// It is initialized with defaults and can be overridden via SetConfig.\n    68→var repoConfig *RepositoryConfig = DefaultConfig()\n    69→\n    70→// SetConfig sets the repository configuration.\n    71→// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n    72→// If not called, default values from DefaultConfig() are used.\n    73→func SetConfig(cfg *RepositoryConfig) {\n    74→\tif cfg != nil {\n    75→\t\trepoConfig = cfg\n    76→\t}\n    77→}\n    78→\n    79→// GetConfig returns the current repository configuration.\n    80→func GetConfig() *RepositoryConfig {\n    81→\treturn repoConfig\n    82→}\n    83→"}]},"uuid":"85257af6-41af-4431-9199-d7d5cd1f1c06","timestamp":"2026-03-16T10:12:40.045Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/config.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport \"time\"\n\n// RepositoryConfig holds configuration for repository operations.\n// All fields have sensible defaults, so this configuration is optional.\ntype RepositoryConfig struct {\n\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n\t// Default: 1MB (1024 * 1024 bytes)\n\tCacheSize int\n\n\t// MaxOpenConnections is the maximum number of open database connections.\n\t// Default: 4\n\tMaxOpenConnections int\n\n\t// MaxIdleConnections is the maximum number of idle database connections.\n\t// Default: 4\n\tMaxIdleConnections int\n\n\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n\t// Default: 1 hour\n\tConnectionMaxLifetime time.Duration\n\n\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n\t// Default: 10 minutes\n\tConnectionMaxIdleTime time.Duration\n\n\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n\t// considered in \"running jobs\" queries. This filters out very short jobs.\n\t// Default: 600 seconds (10 minutes)\n\tMinRunningJobDuration int\n\n\t// DbCacheSizeMB is the SQLite page cache size per connection in MB.\n\t// Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n\t// and DbCacheSizeMB=2048, total page cache is up to 8GB.\n\t// Default: 2048 (2GB)\n\tDbCacheSizeMB int\n\n\t// DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n\t// SQLite will try to release cache pages to stay under this limit.\n\t// It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n\t// Default: 16384 (16GB)\n\tDbSoftHeapLimitMB int\n}\n\n// DefaultConfig returns the default repository configuration.\n// These values are optimized for typical deployments.\nfunc DefaultConfig() *RepositoryConfig {\n\treturn &RepositoryConfig{\n\t\tCacheSize:             1 * 1024 * 1024, // 1MB\n\t\tMaxOpenConnections:    4,\n\t\tMaxIdleConnections:    4,\n\t\tConnectionMaxLifetime: time.Hour,\n\t\tConnectionMaxIdleTime: 10 * time.Minute,\n\t\tMinRunningJobDuration: 600, // 10 minutes\n\t\tDbCacheSizeMB:        2048,  // 2GB per connection\n\t\tDbSoftHeapLimitMB:    16384, // 16GB process-wide\n\t}\n}\n\n// repoConfig is the package-level configuration instance.\n// It is initialized with defaults and can be overridden via SetConfig.\nvar repoConfig *RepositoryConfig = DefaultConfig()\n\n// SetConfig sets the repository configuration.\n// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n// If not called, default values from DefaultConfig() are used.\nfunc SetConfig(cfg *RepositoryConfig) {\n\tif cfg != nil {\n\t\trepoConfig = cfg\n\t}\n}\n\n// GetConfig returns the current repository configuration.\nfunc GetConfig() *RepositoryConfig {\n\treturn repoConfig\n}\n","numLines":83,"startLine":1,"totalLines":83}},"sourceToolAssistantUUID":"352d7440-d01b-4d22-bd9c-3f56616211e2","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"641c9a76-91d8-4156-a19d-7ccb6d93cf69","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ApteHWPiKLmA7YP4uFfRyv","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package archive\n     7→\n     8→import (\n     9→\t\"bytes\"\n    10→\t\"compress/gzip\"\n    11→\t\"database/sql\"\n    12→\t\"encoding/json\"\n    13→\t\"fmt\"\n    14→\t\"io\"\n    15→\t\"math\"\n    16→\t\"os\"\n    17→\t\"slices\"\n    18→\t\"strconv\"\n    19→\t\"sync\"\n    20→\t\"text/tabwriter\"\n    21→\t\"time\"\n    22→\n    23→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    24→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    25→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    26→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n    27→\t_ \"github.com/mattn/go-sqlite3\"\n    28→)\n    29→\n    30→// SqliteArchiveConfig holds the configuration for the SQLite archive backend.\n    31→type SqliteArchiveConfig struct {\n    32→\tDBPath string `json:\"db-path\"` // Path to SQLite database file\n    33→}\n    34→\n    35→// SqliteArchive implements ArchiveBackend using a SQLite database with BLOB storage.\n    36→// Job metadata and data are stored as JSON BLOBs with indexes for fast queries.\n    37→//\n    38→// Uses WAL (Write-Ahead Logging) mode for better concurrency and a 64MB cache.\n    39→type SqliteArchive struct {\n    40→\tdb       *sql.DB  // SQLite database connection\n    41→\tclusters []string // List of discovered cluster names\n    42→}\n    43→\n    44→// sqliteSchema defines the database schema for SQLite archive backend.\n    45→// Jobs table: stores job metadata and data as BLOBs with compression flag\n    46→// Clusters table: stores cluster configurations\n    47→// Metadata table: stores version and other key-value pairs\n    48→const sqliteSchema = `\n    49→CREATE TABLE IF NOT EXISTS jobs (\n    50→    id INTEGER PRIMARY KEY AUTOINCREMENT,\n    51→    job_id INTEGER NOT NULL,\n    52→    cluster TEXT NOT NULL,\n    53→    start_time INTEGER NOT NULL,\n    54→    meta_json BLOB NOT NULL,\n    55→    data_json BLOB,\n    56→    data_compressed BOOLEAN DEFAULT 0,\n    57→    created_at INTEGER NOT NULL,\n    58→    updated_at INTEGER NOT NULL,\n    59→    UNIQUE(job_id, cluster, start_time)\n    60→);\n    61→\n    62→CREATE INDEX IF NOT EXISTS idx_jobs_cluster ON jobs(cluster);\n    63→CREATE INDEX IF NOT EXISTS idx_jobs_start_time ON jobs(start_time);\n    64→CREATE INDEX IF NOT EXISTS idx_jobs_order ON jobs(cluster, start_time);\n    65→CREATE INDEX IF NOT EXISTS idx_jobs_lookup ON jobs(cluster, job_id, start_time);\n    66→\n    67→CREATE TABLE IF NOT EXISTS clusters (\n    68→    name TEXT PRIMARY KEY,\n    69→    config_json BLOB NOT NULL,\n    70→    updated_at INTEGER NOT NULL\n    71→);\n    72→\n    73→CREATE TABLE IF NOT EXISTS metadata (\n    74→    key TEXT PRIMARY KEY,\n    75→    value TEXT NOT NULL\n    76→);\n    77→`\n    78→\n    79→func (sa *SqliteArchive) Init(rawConfig json.RawMessage) (uint64, error) {\n    80→\tvar cfg SqliteArchiveConfig\n    81→\tif err := json.Unmarshal(rawConfig, &cfg); err != nil {\n    82→\t\tcclog.Warnf(\"SqliteArchive Init() > Unmarshal error: %#v\", err)\n    83→\t\treturn 0, err\n    84→\t}\n    85→\n    86→\tif cfg.DBPath == \"\" {\n    87→\t\terr := fmt.Errorf(\"SqliteArchive Init(): empty database path\")\n    88→\t\tcclog.Errorf(\"SqliteArchive Init() > config error: %v\", err)\n    89→\t\treturn 0, err\n    90→\t}\n    91→\n    92→\t// Open SQLite database\n    93→\tdb, err := sql.Open(\"sqlite3\", cfg.DBPath)\n    94→\tif err != nil {\n    95→\t\tcclog.Errorf(\"SqliteArchive Init() > failed to open database: %v\", err)\n    96→\t\treturn 0, err\n    97→\t}\n    98→\tsa.db = db\n    99→\n   100→\t// Set pragmas for better performance\n   101→\tpragmas := []string{\n   102→\t\t\"PRAGMA journal_mode=WAL\",\n   103→\t\t\"PRAGMA synchronous=NORMAL\",\n   104→\t\t\"PRAGMA cache_size=-64000\", // 64MB cache\n   105→\t\t\"PRAGMA busy_timeout=5000\",\n   106→\t}\n   107→\tfor _, pragma := range pragmas {\n   108→\t\tif _, err := sa.db.Exec(pragma); err != nil {\n   109→\t\t\tcclog.Warnf(\"SqliteArchive Init() > pragma failed: %v\", err)\n   110→\t\t}\n   111→\t}\n   112→\n   113→\t// Create schema\n   114→\tif _, err := sa.db.Exec(sqliteSchema); err != nil {\n   115→\t\tcclog.Errorf(\"SqliteArchive Init() > schema creation failed: %v\", err)\n   116→\t\treturn 0, err\n   117→\t}\n   118→\n   119→\t// Check/set version\n   120→\tvar versionStr string\n   121→\terr = sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'version'\").Scan(&versionStr)\n   122→\tif err == sql.ErrNoRows {\n   123→\t\t// First time initialization, set version\n   124→\t\t_, err = sa.db.Exec(\"INSERT INTO metadata (key, value) VALUES ('version', ?)\", fmt.Sprintf(\"%d\", Version))\n   125→\t\tif err != nil {\n   126→\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to set version: %v\", err)\n   127→\t\t\treturn 0, err\n   128→\t\t}\n   129→\t\tversionStr = fmt.Sprintf(\"%d\", Version)\n   130→\t} else if err != nil {\n   131→\t\tcclog.Errorf(\"SqliteArchive Init() > failed to read version: %v\", err)\n   132→\t\treturn 0, err\n   133→\t}\n   134→\n   135→\tversion, err := strconv.ParseUint(versionStr, 10, 64)\n   136→\tif err != nil {\n   137→\t\tcclog.Errorf(\"SqliteArchive Init() > version parse error: %v\", err)\n   138→\t\treturn 0, err\n   139→\t}\n   140→\n   141→\tif version != Version {\n   142→\t\treturn version, fmt.Errorf(\"unsupported version %d, need %d\", version, Version)\n   143→\t}\n   144→\n   145→\t// Discover clusters\n   146→\tsa.clusters = []string{}\n   147→\trows, err := sa.db.Query(\"SELECT DISTINCT cluster FROM jobs ORDER BY cluster\")\n   148→\tif err != nil {\n   149→\t\tcclog.Errorf(\"SqliteArchive Init() > failed to query clusters: %v\", err)\n   150→\t\treturn 0, err\n   151→\t}\n   152→\tdefer rows.Close()\n   153→\n   154→\tfor rows.Next() {\n   155→\t\tvar cluster string\n   156→\t\tif err := rows.Scan(&cluster); err != nil {\n   157→\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to scan cluster: %v\", err)\n   158→\t\t\tcontinue\n   159→\t\t}\n   160→\t\tsa.clusters = append(sa.clusters, cluster)\n   161→\t}\n   162→\n   163→\tcclog.Infof(\"SqliteArchive initialized with database '%s', found %d clusters\", cfg.DBPath, len(sa.clusters))\n   164→\treturn version, nil\n   165→}\n   166→\n   167→func (sa *SqliteArchive) Info() {\n   168→\tfmt.Printf(\"SQLite Job archive database\\n\")\n   169→\n   170→\tci := make(map[string]*clusterInfo)\n   171→\n   172→\trows, err := sa.db.Query(`\n   173→\t\tSELECT cluster, COUNT(*), MIN(start_time), MAX(start_time),\n   174→\t\t       SUM(LENGTH(meta_json) + COALESCE(LENGTH(data_json), 0))\n   175→\t\tFROM jobs\n   176→\t\tGROUP BY cluster\n   177→\t`)\n   178→\tif err != nil {\n   179→\t\tcclog.Fatalf(\"SqliteArchive Info() > query failed: %s\", err.Error())\n   180→\t}\n   181→\tdefer rows.Close()\n   182→\n   183→\tfor rows.Next() {\n   184→\t\tvar cluster string\n   185→\t\tvar numJobs int\n   186→\t\tvar dateFirst, dateLast int64\n   187→\t\tvar diskSize int64\n   188→\n   189→\t\tif err := rows.Scan(&cluster, &numJobs, &dateFirst, &dateLast, &diskSize); err != nil {\n   190→\t\t\tcclog.Errorf(\"SqliteArchive Info() > scan failed: %v\", err)\n   191→\t\t\tcontinue\n   192→\t\t}\n   193→\n   194→\t\tci[cluster] = &clusterInfo{\n   195→\t\t\tnumJobs:   numJobs,\n   196→\t\t\tdateFirst: dateFirst,\n   197→\t\t\tdateLast:  dateLast,\n   198→\t\t\tdiskSize:  float64(diskSize) / (1024 * 1024), // Convert to MB\n   199→\t\t}\n   200→\t}\n   201→\n   202→\tcit := clusterInfo{dateFirst: time.Now().Unix()}\n   203→\tw := tabwriter.NewWriter(os.Stdout, 0, 0, 2, ' ', tabwriter.Debug)\n   204→\tfmt.Fprintln(w, \"cluster\\t#jobs\\tfrom\\tto\\tsize (MB)\")\n   205→\tfor cluster, clusterInfo := range ci {\n   206→\t\tfmt.Fprintf(w, \"%s\\t%d\\t%s\\t%s\\t%.2f\\n\", cluster,\n   207→\t\t\tclusterInfo.numJobs,\n   208→\t\t\ttime.Unix(clusterInfo.dateFirst, 0),\n   209→\t\t\ttime.Unix(clusterInfo.dateLast, 0),\n   210→\t\t\tclusterInfo.diskSize)\n   211→\n   212→\t\tcit.numJobs += clusterInfo.numJobs\n   213→\t\tcit.dateFirst = util.Min(cit.dateFirst, clusterInfo.dateFirst)\n   214→\t\tcit.dateLast = util.Max(cit.dateLast, clusterInfo.dateLast)\n   215→\t\tcit.diskSize += clusterInfo.diskSize\n   216→\t}\n   217→\n   218→\tfmt.Fprintf(w, \"TOTAL\\t%d\\t%s\\t%s\\t%.2f\\n\",\n   219→\t\tcit.numJobs, time.Unix(cit.dateFirst, 0), time.Unix(cit.dateLast, 0), cit.diskSize)\n   220→\tw.Flush()\n   221→}\n   222→\n   223→func (sa *SqliteArchive) Exists(job *schema.Job) bool {\n   224→\tvar count int\n   225→\terr := sa.db.QueryRow(\"SELECT COUNT(*) FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n   226→\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&count)\n   227→\treturn err == nil && count > 0\n   228→}\n   229→\n   230→func (sa *SqliteArchive) LoadJobMeta(job *schema.Job) (*schema.Job, error) {\n   231→\tvar metaBlob []byte\n   232→\terr := sa.db.QueryRow(\"SELECT meta_json FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n   233→\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&metaBlob)\n   234→\tif err != nil {\n   235→\t\tcclog.Errorf(\"SqliteArchive LoadJobMeta() > query error: %v\", err)\n   236→\t\treturn nil, err\n   237→\t}\n   238→\n   239→\tif config.Keys.Validate {\n   240→\t\tif err := schema.Validate(schema.Meta, bytes.NewReader(metaBlob)); err != nil {\n   241→\t\t\treturn nil, fmt.Errorf(\"validate job meta: %v\", err)\n   242→\t\t}\n   243→\t}\n   244→\n   245→\treturn DecodeJobMeta(bytes.NewReader(metaBlob))\n   246→}\n   247→\n   248→func (sa *SqliteArchive) LoadJobData(job *schema.Job) (schema.JobData, error) {\n   249→\tvar dataBlob []byte\n   250→\tvar compressed bool\n   251→\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n   252→\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n   253→\tif err != nil {\n   254→\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > query error: %v\", err)\n   255→\t\treturn nil, err\n   256→\t}\n   257→\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n   258→\n   259→\tvar reader io.Reader = bytes.NewReader(dataBlob)\n   260→\tif compressed {\n   261→\t\tgzipReader, err := gzip.NewReader(reader)\n   262→\t\tif err != nil {\n   263→\t\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > gzip error: %v\", err)\n   264→\t\t\treturn nil, err\n   265→\t\t}\n   266→\t\tdefer gzipReader.Close()\n   267→\t\treader = gzipReader\n   268→\t}\n   269→\n   270→\tif config.Keys.Validate {\n   271→\t\tdata, _ := io.ReadAll(reader)\n   272→\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n   273→\t\t\treturn schema.JobData{}, fmt.Errorf(\"validate job data: %v\", err)\n   274→\t\t}\n   275→\t\treturn DecodeJobData(bytes.NewReader(data), key)\n   276→\t}\n   277→\n   278→\treturn DecodeJobData(reader, key)\n   279→}\n   280→\n   281→func (sa *SqliteArchive) LoadJobStats(job *schema.Job) (schema.ScopedJobStats, error) {\n   282→\tvar dataBlob []byte\n   283→\tvar compressed bool\n   284→\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n   285→\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n   286→\tif err != nil {\n   287→\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > query error: %v\", err)\n   288→\t\treturn nil, err\n   289→\t}\n   290→\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n   291→\n   292→\tvar reader io.Reader = bytes.NewReader(dataBlob)\n   293→\tif compressed {\n   294→\t\tgzipReader, err := gzip.NewReader(reader)\n   295→\t\tif err != nil {\n   296→\t\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > gzip error: %v\", err)\n   297→\t\t\treturn nil, err\n   298→\t\t}\n   299→\t\tdefer gzipReader.Close()\n   300→\t\treader = gzipReader\n   301→\t}\n   302→\n   303→\tif config.Keys.Validate {\n   304→\t\tdata, _ := io.ReadAll(reader)\n   305→\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n   306→\t\t\treturn nil, fmt.Errorf(\"validate job data: %v\", err)\n   307→\t\t}\n   308→\t\treturn DecodeJobStats(bytes.NewReader(data), key)\n   309→\t}\n   310→\n   311→\treturn DecodeJobStats(reader, key)\n   312→}\n   313→\n   314→func (sa *SqliteArchive) LoadClusterCfg(name string) (*schema.Cluster, error) {\n   315→\tvar configBlob []byte\n   316→\terr := sa.db.QueryRow(\"SELECT config_json FROM clusters WHERE name = ?\", name).Scan(&configBlob)\n   317→\tif err != nil {\n   318→\t\tcclog.Errorf(\"SqliteArchive LoadClusterCfg() > query error: %v\", err)\n   319→\t\treturn nil, err\n   320→\t}\n   321→\n   322→\tif config.Keys.Validate {\n   323→\t\tif err := schema.Validate(schema.ClusterCfg, bytes.NewReader(configBlob)); err != nil {\n   324→\t\t\tcclog.Warnf(\"Validate cluster config: %v\\n\", err)\n   325→\t\t\treturn &schema.Cluster{}, fmt.Errorf(\"validate cluster config: %v\", err)\n   326→\t\t}\n   327→\t}\n   328→\n   329→\treturn DecodeCluster(bytes.NewReader(configBlob))\n   330→}\n   331→\n   332→func (sa *SqliteArchive) StoreJobMeta(job *schema.Job) error {\n   333→\tvar metaBuf bytes.Buffer\n   334→\tif err := EncodeJobMeta(&metaBuf, job); err != nil {\n   335→\t\tcclog.Error(\"SqliteArchive StoreJobMeta() > encoding error\")\n   336→\t\treturn err\n   337→\t}\n   338→\n   339→\tnow := time.Now().Unix()\n   340→\t_, err := sa.db.Exec(`\n   341→\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, created_at, updated_at)\n   342→\t\tVALUES (?, ?, ?, ?, ?, ?)\n   343→\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n   344→\t\t\tmeta_json = excluded.meta_json,\n   345→\t\t\tupdated_at = excluded.updated_at\n   346→\t`, job.JobID, job.Cluster, job.StartTime, metaBuf.Bytes(), now, now)\n   347→\tif err != nil {\n   348→\t\tcclog.Errorf(\"SqliteArchive StoreJobMeta() > insert error: %v\", err)\n   349→\t\treturn err\n   350→\t}\n   351→\n   352→\treturn nil\n   353→}\n   354→\n   355→func (sa *SqliteArchive) ImportJob(jobMeta *schema.Job, jobData *schema.JobData) error {\n   356→\tvar metaBuf, dataBuf bytes.Buffer\n   357→\tif err := EncodeJobMeta(&metaBuf, jobMeta); err != nil {\n   358→\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding meta error\")\n   359→\t\treturn err\n   360→\t}\n   361→\tif err := EncodeJobData(&dataBuf, jobData); err != nil {\n   362→\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding data error\")\n   363→\t\treturn err\n   364→\t}\n   365→\n   366→\tvar dataBytes []byte\n   367→\tvar compressed bool\n   368→\n   369→\tif dataBuf.Len() > 2000 {\n   370→\t\tvar compressedBuf bytes.Buffer\n   371→\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n   372→\t\tif _, err := gzipWriter.Write(dataBuf.Bytes()); err != nil {\n   373→\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip write error: %v\", err)\n   374→\t\t\treturn err\n   375→\t\t}\n   376→\t\tif err := gzipWriter.Close(); err != nil {\n   377→\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip close error: %v\", err)\n   378→\t\t\treturn err\n   379→\t\t}\n   380→\t\tdataBytes = compressedBuf.Bytes()\n   381→\t\tcompressed = true\n   382→\t} else {\n   383→\t\tdataBytes = dataBuf.Bytes()\n   384→\t\tcompressed = false\n   385→\t}\n   386→\n   387→\tnow := time.Now().Unix()\n   388→\t_, err := sa.db.Exec(`\n   389→\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, data_json, data_compressed, created_at, updated_at)\n   390→\t\tVALUES (?, ?, ?, ?, ?, ?, ?, ?)\n   391→\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n   392→\t\t\tmeta_json = excluded.meta_json,\n   393→\t\t\tdata_json = excluded.data_json,\n   394→\t\t\tdata_compressed = excluded.data_compressed,\n   395→\t\t\tupdated_at = excluded.updated_at\n   396→\t`, jobMeta.JobID, jobMeta.Cluster, jobMeta.StartTime, metaBuf.Bytes(), dataBytes, compressed, now, now)\n   397→\tif err != nil {\n   398→\t\tcclog.Errorf(\"SqliteArchive ImportJob() > insert error: %v\", err)\n   399→\t\treturn err\n   400→\t}\n   401→\n   402→\treturn nil\n   403→}\n   404→\n   405→func (sa *SqliteArchive) GetClusters() []string {\n   406→\treturn sa.clusters\n   407→}\n   408→\n   409→func (sa *SqliteArchive) CleanUp(jobs []*schema.Job) {\n   410→\tstart := time.Now()\n   411→\tcount := 0\n   412→\n   413→\ttx, err := sa.db.Begin()\n   414→\tif err != nil {\n   415→\t\tcclog.Errorf(\"SqliteArchive CleanUp() > transaction error: %v\", err)\n   416→\t\treturn\n   417→\t}\n   418→\tdefer tx.Rollback()\n   419→\n   420→\tstmt, err := tx.Prepare(\"DELETE FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n   421→\tif err != nil {\n   422→\t\tcclog.Errorf(\"SqliteArchive CleanUp() > prepare error: %v\", err)\n   423→\t\treturn\n   424→\t}\n   425→\tdefer stmt.Close()\n   426→\n   427→\tfor _, job := range jobs {\n   428→\t\tif job == nil {\n   429→\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() error: job is nil\")\n   430→\t\t\tcontinue\n   431→\t\t}\n   432→\n   433→\t\tif _, err := stmt.Exec(job.JobID, job.Cluster, job.StartTime); err != nil {\n   434→\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() > delete error: %v\", err)\n   435→\t\t} else {\n   436→\t\t\tcount++\n   437→\t\t}\n   438→\t}\n   439→\n   440→\tif err := tx.Commit(); err != nil {\n   441→\t\tcclog.Errorf(\"SqliteArchive CleanUp() > commit error: %v\", err)\n   442→\t\treturn\n   443→\t}\n   444→\n   445→\tcclog.Infof(\"Retention Service - Remove %d jobs from SQLite in %s\", count, time.Since(start))\n   446→}\n   447→\n   448→func (sa *SqliteArchive) Move(jobs []*schema.Job, targetPath string) {\n   449→\t// For SQLite, \"move\" means updating the cluster field or similar\n   450→\t// This is interpretation-dependent; for now we'll just log\n   451→\tcclog.Warnf(\"SqliteArchive Move() is not fully implemented - moves within database not applicable\")\n   452→}\n   453→\n   454→func (sa *SqliteArchive) Clean(before int64, after int64) {\n   455→\tif after == 0 {\n   456→\t\tafter = math.MaxInt64\n   457→\t}\n   458→\n   459→\tresult, err := sa.db.Exec(\"DELETE FROM jobs WHERE start_time < ? OR start_time > ?\", before, after)\n   460→\tif err != nil {\n   461→\t\tcclog.Fatalf(\"SqliteArchive Clean() > delete error: %s\", err.Error())\n   462→\t}\n   463→\n   464→\trowsAffected, _ := result.RowsAffected()\n   465→\tcclog.Infof(\"SqliteArchive Clean() removed %d jobs\", rowsAffected)\n   466→}\n   467→\n   468→func (sa *SqliteArchive) Compress(jobs []*schema.Job) {\n   469→\tvar cnt int\n   470→\tstart := time.Now()\n   471→\n   472→\ttx, err := sa.db.Begin()\n   473→\tif err != nil {\n   474→\t\tcclog.Errorf(\"SqliteArchive Compress() > transaction error: %v\", err)\n   475→\t\treturn\n   476→\t}\n   477→\tdefer tx.Rollback()\n   478→\n   479→\tstmt, err := tx.Prepare(\"UPDATE jobs SET data_json = ?, data_compressed = 1 WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n   480→\tif err != nil {\n   481→\t\tcclog.Errorf(\"SqliteArchive Compress() > prepare error: %v\", err)\n   482→\t\treturn\n   483→\t}\n   484→\tdefer stmt.Close()\n   485→\n   486→\tfor _, job := range jobs {\n   487→\t\tvar dataBlob []byte\n   488→\t\tvar compressed bool\n   489→\t\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n   490→\t\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n   491→\t\tif err != nil || compressed || len(dataBlob) < 2000 {\n   492→\t\t\tcontinue // Skip if error, already compressed, or too small\n   493→\t\t}\n   494→\n   495→\t\t// Compress the data\n   496→\t\tvar compressedBuf bytes.Buffer\n   497→\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n   498→\t\tif _, err := gzipWriter.Write(dataBlob); err != nil {\n   499→\t\t\tcclog.Errorf(\"SqliteArchive Compress() > gzip error: %v\", err)\n   500→\t\t\tgzipWriter.Close()\n   501→\t\t\tcontinue\n   502→\t\t}\n   503→\t\tgzipWriter.Close()\n   504→\n   505→\t\tif _, err := stmt.Exec(compressedBuf.Bytes(), job.JobID, job.Cluster, job.StartTime); err != nil {\n   506→\t\t\tcclog.Errorf(\"SqliteArchive Compress() > update error: %v\", err)\n   507→\t\t} else {\n   508→\t\t\tcnt++\n   509→\t\t}\n   510→\t}\n   511→\n   512→\tif err := tx.Commit(); err != nil {\n   513→\t\tcclog.Errorf(\"SqliteArchive Compress() > commit error: %v\", err)\n   514→\t\treturn\n   515→\t}\n   516→\n   517→\tcclog.Infof(\"Compression Service - %d jobs in SQLite took %s\", cnt, time.Since(start))\n   518→}\n   519→\n   520→func (sa *SqliteArchive) CompressLast(starttime int64) int64 {\n   521→\tvar lastStr string\n   522→\terr := sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'compress_last'\").Scan(&lastStr)\n   523→\n   524→\tvar last int64\n   525→\tif err == sql.ErrNoRows {\n   526→\t\tlast = starttime\n   527→\t} else if err != nil {\n   528→\t\tcclog.Errorf(\"SqliteArchive CompressLast() > query error: %v\", err)\n   529→\t\tlast = starttime\n   530→\t} else {\n   531→\t\tlast, err = strconv.ParseInt(lastStr, 10, 64)\n   532→\t\tif err != nil {\n   533→\t\t\tcclog.Errorf(\"SqliteArchive CompressLast() > parse error: %v\", err)\n   534→\t\t\tlast = starttime\n   535→\t\t}\n   536→\t}\n   537→\n   538→\tcclog.Infof(\"SqliteArchive CompressLast() - start %d last %d\", starttime, last)\n   539→\n   540→\t// Update timestamp\n   541→\t_, err = sa.db.Exec(`\n   542→\t\tINSERT INTO metadata (key, value) VALUES ('compress_last', ?)\n   543→\t\tON CONFLICT(key) DO UPDATE SET value = excluded.value\n   544→\t`, fmt.Sprintf(\"%d\", starttime))\n   545→\tif err != nil {\n   546→\t\tcclog.Errorf(\"SqliteArchive CompressLast() > update error: %v\", err)\n   547→\t}\n   548→\n   549→\treturn last\n   550→}\n   551→\n   552→type sqliteJobRow struct {\n   553→\tmetaBlob   []byte\n   554→\tdataBlob   []byte\n   555→\tcompressed bool\n   556→}\n   557→\n   558→func (sa *SqliteArchive) Iter(loadMetricData bool) <-chan JobContainer {\n   559→\tch := make(chan JobContainer)\n   560→\n   561→\tgo func() {\n   562→\t\tdefer close(ch)\n   563→\n   564→\t\tconst chunkSize = 1000\n   565→\t\toffset := 0\n   566→\n   567→\t\tvar query string\n   568→\t\tif loadMetricData {\n   569→\t\t\tquery = \"SELECT meta_json, data_json, data_compressed FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n   570→\t\t} else {\n   571→\t\t\tquery = \"SELECT meta_json FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n   572→\t\t}\n   573→\n   574→\t\tnumWorkers := 4\n   575→\t\tjobRows := make(chan sqliteJobRow, numWorkers*2)\n   576→\t\tvar wg sync.WaitGroup\n   577→\n   578→\t\tfor range numWorkers {\n   579→\t\t\twg.Go(func() {\n   580→\t\t\t\tfor row := range jobRows {\n   581→\t\t\t\t\tjob, err := DecodeJobMeta(bytes.NewReader(row.metaBlob))\n   582→\t\t\t\t\tif err != nil {\n   583→\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode meta error: %v\", err)\n   584→\t\t\t\t\t\tcontinue\n   585→\t\t\t\t\t}\n   586→\n   587→\t\t\t\t\tif loadMetricData && row.dataBlob != nil {\n   588→\t\t\t\t\t\tvar reader io.Reader = bytes.NewReader(row.dataBlob)\n   589→\t\t\t\t\t\tif row.compressed {\n   590→\t\t\t\t\t\t\tgzipReader, err := gzip.NewReader(reader)\n   591→\t\t\t\t\t\t\tif err != nil {\n   592→\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > gzip error: %v\", err)\n   593→\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n   594→\t\t\t\t\t\t\t\tcontinue\n   595→\t\t\t\t\t\t\t}\n   596→\t\t\t\t\t\t\tdecompressed, err := io.ReadAll(gzipReader)\n   597→\t\t\t\t\t\t\tgzipReader.Close()\n   598→\t\t\t\t\t\t\tif err != nil {\n   599→\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decompress error: %v\", err)\n   600→\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n   601→\t\t\t\t\t\t\t\tcontinue\n   602→\t\t\t\t\t\t\t}\n   603→\t\t\t\t\t\t\treader = bytes.NewReader(decompressed)\n   604→\t\t\t\t\t\t}\n   605→\n   606→\t\t\t\t\t\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n   607→\t\t\t\t\t\tjobData, err := DecodeJobData(reader, key)\n   608→\t\t\t\t\t\tif err != nil {\n   609→\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode data error: %v\", err)\n   610→\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n   611→\t\t\t\t\t\t} else {\n   612→\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: &jobData}\n   613→\t\t\t\t\t\t}\n   614→\t\t\t\t\t} else {\n   615→\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n   616→\t\t\t\t\t}\n   617→\t\t\t\t}\n   618→\t\t\t})\n   619→\t\t}\n   620→\n   621→\t\tfor {\n   622→\t\t\trows, err := sa.db.Query(query, chunkSize, offset)\n   623→\t\t\tif err != nil {\n   624→\t\t\t\tcclog.Fatalf(\"SqliteArchive Iter() > query error: %s\", err.Error())\n   625→\t\t\t}\n   626→\n   627→\t\t\trowCount := 0\n   628→\t\t\tfor rows.Next() {\n   629→\t\t\t\tvar row sqliteJobRow\n   630→\n   631→\t\t\t\tif loadMetricData {\n   632→\t\t\t\t\tif err := rows.Scan(&row.metaBlob, &row.dataBlob, &row.compressed); err != nil {\n   633→\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n   634→\t\t\t\t\t\tcontinue\n   635→\t\t\t\t\t}\n   636→\t\t\t\t} else {\n   637→\t\t\t\t\tif err := rows.Scan(&row.metaBlob); err != nil {\n   638→\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n   639→\t\t\t\t\t\tcontinue\n   640→\t\t\t\t\t}\n   641→\t\t\t\t\trow.dataBlob = nil\n   642→\t\t\t\t\trow.compressed = false\n   643→\t\t\t\t}\n   644→\n   645→\t\t\t\tjobRows <- row\n   646→\t\t\t\trowCount++\n   647→\t\t\t}\n   648→\t\t\trows.Close()\n   649→\n   650→\t\t\tif rowCount < chunkSize {\n   651→\t\t\t\tbreak\n   652→\t\t\t}\n   653→\n   654→\t\t\toffset += chunkSize\n   655→\t\t}\n   656→\n   657→\t\tclose(jobRows)\n   658→\t\twg.Wait()\n   659→\t}()\n   660→\n   661→\treturn ch\n   662→}\n   663→\n   664→func (sa *SqliteArchive) StoreClusterCfg(name string, config *schema.Cluster) error {\n   665→\tvar configBuf bytes.Buffer\n   666→\tif err := EncodeCluster(&configBuf, config); err != nil {\n   667→\t\tcclog.Error(\"SqliteArchive StoreClusterCfg() > encoding error\")\n   668→\t\treturn err\n   669→\t}\n   670→\n   671→\tnow := time.Now().Unix()\n   672→\t_, err := sa.db.Exec(`\n   673→\t\tINSERT INTO clusters (name, config_json, updated_at)\n   674→\t\tVALUES (?, ?, ?)\n   675→\t\tON CONFLICT(name) DO UPDATE SET\n   676→\t\t\tconfig_json = excluded.config_json,\n   677→\t\t\tupdated_at = excluded.updated_at\n   678→\t`, name, configBuf.Bytes(), now)\n   679→\tif err != nil {\n   680→\t\tcclog.Errorf(\"SqliteArchive StoreClusterCfg() > insert error: %v\", err)\n   681→\t\treturn err\n   682→\t}\n   683→\n   684→\t// Update clusters list if new\n   685→\tfound := slices.Contains(sa.clusters, name)\n   686→\tif !found {\n   687→\t\tsa.clusters = append(sa.clusters, name)\n   688→\t}\n   689→\n   690→\treturn nil\n   691→}\n   692→"}]},"uuid":"d78c0aa3-68bb-42dc-8267-533056b05e92","timestamp":"2026-03-16T10:12:40.468Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/archive/sqliteBackend.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage archive\n\nimport (\n\t\"bytes\"\n\t\"compress/gzip\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"slices\"\n\t\"strconv\"\n\t\"sync\"\n\t\"text/tabwriter\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t_ \"github.com/mattn/go-sqlite3\"\n)\n\n// SqliteArchiveConfig holds the configuration for the SQLite archive backend.\ntype SqliteArchiveConfig struct {\n\tDBPath string `json:\"db-path\"` // Path to SQLite database file\n}\n\n// SqliteArchive implements ArchiveBackend using a SQLite database with BLOB storage.\n// Job metadata and data are stored as JSON BLOBs with indexes for fast queries.\n//\n// Uses WAL (Write-Ahead Logging) mode for better concurrency and a 64MB cache.\ntype SqliteArchive struct {\n\tdb       *sql.DB  // SQLite database connection\n\tclusters []string // List of discovered cluster names\n}\n\n// sqliteSchema defines the database schema for SQLite archive backend.\n// Jobs table: stores job metadata and data as BLOBs with compression flag\n// Clusters table: stores cluster configurations\n// Metadata table: stores version and other key-value pairs\nconst sqliteSchema = `\nCREATE TABLE IF NOT EXISTS jobs (\n    id INTEGER PRIMARY KEY AUTOINCREMENT,\n    job_id INTEGER NOT NULL,\n    cluster TEXT NOT NULL,\n    start_time INTEGER NOT NULL,\n    meta_json BLOB NOT NULL,\n    data_json BLOB,\n    data_compressed BOOLEAN DEFAULT 0,\n    created_at INTEGER NOT NULL,\n    updated_at INTEGER NOT NULL,\n    UNIQUE(job_id, cluster, start_time)\n);\n\nCREATE INDEX IF NOT EXISTS idx_jobs_cluster ON jobs(cluster);\nCREATE INDEX IF NOT EXISTS idx_jobs_start_time ON jobs(start_time);\nCREATE INDEX IF NOT EXISTS idx_jobs_order ON jobs(cluster, start_time);\nCREATE INDEX IF NOT EXISTS idx_jobs_lookup ON jobs(cluster, job_id, start_time);\n\nCREATE TABLE IF NOT EXISTS clusters (\n    name TEXT PRIMARY KEY,\n    config_json BLOB NOT NULL,\n    updated_at INTEGER NOT NULL\n);\n\nCREATE TABLE IF NOT EXISTS metadata (\n    key TEXT PRIMARY KEY,\n    value TEXT NOT NULL\n);\n`\n\nfunc (sa *SqliteArchive) Init(rawConfig json.RawMessage) (uint64, error) {\n\tvar cfg SqliteArchiveConfig\n\tif err := json.Unmarshal(rawConfig, &cfg); err != nil {\n\t\tcclog.Warnf(\"SqliteArchive Init() > Unmarshal error: %#v\", err)\n\t\treturn 0, err\n\t}\n\n\tif cfg.DBPath == \"\" {\n\t\terr := fmt.Errorf(\"SqliteArchive Init(): empty database path\")\n\t\tcclog.Errorf(\"SqliteArchive Init() > config error: %v\", err)\n\t\treturn 0, err\n\t}\n\n\t// Open SQLite database\n\tdb, err := sql.Open(\"sqlite3\", cfg.DBPath)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to open database: %v\", err)\n\t\treturn 0, err\n\t}\n\tsa.db = db\n\n\t// Set pragmas for better performance\n\tpragmas := []string{\n\t\t\"PRAGMA journal_mode=WAL\",\n\t\t\"PRAGMA synchronous=NORMAL\",\n\t\t\"PRAGMA cache_size=-64000\", // 64MB cache\n\t\t\"PRAGMA busy_timeout=5000\",\n\t}\n\tfor _, pragma := range pragmas {\n\t\tif _, err := sa.db.Exec(pragma); err != nil {\n\t\t\tcclog.Warnf(\"SqliteArchive Init() > pragma failed: %v\", err)\n\t\t}\n\t}\n\n\t// Create schema\n\tif _, err := sa.db.Exec(sqliteSchema); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > schema creation failed: %v\", err)\n\t\treturn 0, err\n\t}\n\n\t// Check/set version\n\tvar versionStr string\n\terr = sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'version'\").Scan(&versionStr)\n\tif err == sql.ErrNoRows {\n\t\t// First time initialization, set version\n\t\t_, err = sa.db.Exec(\"INSERT INTO metadata (key, value) VALUES ('version', ?)\", fmt.Sprintf(\"%d\", Version))\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to set version: %v\", err)\n\t\t\treturn 0, err\n\t\t}\n\t\tversionStr = fmt.Sprintf(\"%d\", Version)\n\t} else if err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to read version: %v\", err)\n\t\treturn 0, err\n\t}\n\n\tversion, err := strconv.ParseUint(versionStr, 10, 64)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > version parse error: %v\", err)\n\t\treturn 0, err\n\t}\n\n\tif version != Version {\n\t\treturn version, fmt.Errorf(\"unsupported version %d, need %d\", version, Version)\n\t}\n\n\t// Discover clusters\n\tsa.clusters = []string{}\n\trows, err := sa.db.Query(\"SELECT DISTINCT cluster FROM jobs ORDER BY cluster\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to query clusters: %v\", err)\n\t\treturn 0, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar cluster string\n\t\tif err := rows.Scan(&cluster); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to scan cluster: %v\", err)\n\t\t\tcontinue\n\t\t}\n\t\tsa.clusters = append(sa.clusters, cluster)\n\t}\n\n\tcclog.Infof(\"SqliteArchive initialized with database '%s', found %d clusters\", cfg.DBPath, len(sa.clusters))\n\treturn version, nil\n}\n\nfunc (sa *SqliteArchive) Info() {\n\tfmt.Printf(\"SQLite Job archive database\\n\")\n\n\tci := make(map[string]*clusterInfo)\n\n\trows, err := sa.db.Query(`\n\t\tSELECT cluster, COUNT(*), MIN(start_time), MAX(start_time),\n\t\t       SUM(LENGTH(meta_json) + COALESCE(LENGTH(data_json), 0))\n\t\tFROM jobs\n\t\tGROUP BY cluster\n\t`)\n\tif err != nil {\n\t\tcclog.Fatalf(\"SqliteArchive Info() > query failed: %s\", err.Error())\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar cluster string\n\t\tvar numJobs int\n\t\tvar dateFirst, dateLast int64\n\t\tvar diskSize int64\n\n\t\tif err := rows.Scan(&cluster, &numJobs, &dateFirst, &dateLast, &diskSize); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Info() > scan failed: %v\", err)\n\t\t\tcontinue\n\t\t}\n\n\t\tci[cluster] = &clusterInfo{\n\t\t\tnumJobs:   numJobs,\n\t\t\tdateFirst: dateFirst,\n\t\t\tdateLast:  dateLast,\n\t\t\tdiskSize:  float64(diskSize) / (1024 * 1024), // Convert to MB\n\t\t}\n\t}\n\n\tcit := clusterInfo{dateFirst: time.Now().Unix()}\n\tw := tabwriter.NewWriter(os.Stdout, 0, 0, 2, ' ', tabwriter.Debug)\n\tfmt.Fprintln(w, \"cluster\\t#jobs\\tfrom\\tto\\tsize (MB)\")\n\tfor cluster, clusterInfo := range ci {\n\t\tfmt.Fprintf(w, \"%s\\t%d\\t%s\\t%s\\t%.2f\\n\", cluster,\n\t\t\tclusterInfo.numJobs,\n\t\t\ttime.Unix(clusterInfo.dateFirst, 0),\n\t\t\ttime.Unix(clusterInfo.dateLast, 0),\n\t\t\tclusterInfo.diskSize)\n\n\t\tcit.numJobs += clusterInfo.numJobs\n\t\tcit.dateFirst = util.Min(cit.dateFirst, clusterInfo.dateFirst)\n\t\tcit.dateLast = util.Max(cit.dateLast, clusterInfo.dateLast)\n\t\tcit.diskSize += clusterInfo.diskSize\n\t}\n\n\tfmt.Fprintf(w, \"TOTAL\\t%d\\t%s\\t%s\\t%.2f\\n\",\n\t\tcit.numJobs, time.Unix(cit.dateFirst, 0), time.Unix(cit.dateLast, 0), cit.diskSize)\n\tw.Flush()\n}\n\nfunc (sa *SqliteArchive) Exists(job *schema.Job) bool {\n\tvar count int\n\terr := sa.db.QueryRow(\"SELECT COUNT(*) FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&count)\n\treturn err == nil && count > 0\n}\n\nfunc (sa *SqliteArchive) LoadJobMeta(job *schema.Job) (*schema.Job, error) {\n\tvar metaBlob []byte\n\terr := sa.db.QueryRow(\"SELECT meta_json FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&metaBlob)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobMeta() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif config.Keys.Validate {\n\t\tif err := schema.Validate(schema.Meta, bytes.NewReader(metaBlob)); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"validate job meta: %v\", err)\n\t\t}\n\t}\n\n\treturn DecodeJobMeta(bytes.NewReader(metaBlob))\n}\n\nfunc (sa *SqliteArchive) LoadJobData(job *schema.Job) (schema.JobData, error) {\n\tvar dataBlob []byte\n\tvar compressed bool\n\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\n\tvar reader io.Reader = bytes.NewReader(dataBlob)\n\tif compressed {\n\t\tgzipReader, err := gzip.NewReader(reader)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > gzip error: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\tdefer gzipReader.Close()\n\t\treader = gzipReader\n\t}\n\n\tif config.Keys.Validate {\n\t\tdata, _ := io.ReadAll(reader)\n\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n\t\t\treturn schema.JobData{}, fmt.Errorf(\"validate job data: %v\", err)\n\t\t}\n\t\treturn DecodeJobData(bytes.NewReader(data), key)\n\t}\n\n\treturn DecodeJobData(reader, key)\n}\n\nfunc (sa *SqliteArchive) LoadJobStats(job *schema.Job) (schema.ScopedJobStats, error) {\n\tvar dataBlob []byte\n\tvar compressed bool\n\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\n\tvar reader io.Reader = bytes.NewReader(dataBlob)\n\tif compressed {\n\t\tgzipReader, err := gzip.NewReader(reader)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > gzip error: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\tdefer gzipReader.Close()\n\t\treader = gzipReader\n\t}\n\n\tif config.Keys.Validate {\n\t\tdata, _ := io.ReadAll(reader)\n\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"validate job data: %v\", err)\n\t\t}\n\t\treturn DecodeJobStats(bytes.NewReader(data), key)\n\t}\n\n\treturn DecodeJobStats(reader, key)\n}\n\nfunc (sa *SqliteArchive) LoadClusterCfg(name string) (*schema.Cluster, error) {\n\tvar configBlob []byte\n\terr := sa.db.QueryRow(\"SELECT config_json FROM clusters WHERE name = ?\", name).Scan(&configBlob)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadClusterCfg() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif config.Keys.Validate {\n\t\tif err := schema.Validate(schema.ClusterCfg, bytes.NewReader(configBlob)); err != nil {\n\t\t\tcclog.Warnf(\"Validate cluster config: %v\\n\", err)\n\t\t\treturn &schema.Cluster{}, fmt.Errorf(\"validate cluster config: %v\", err)\n\t\t}\n\t}\n\n\treturn DecodeCluster(bytes.NewReader(configBlob))\n}\n\nfunc (sa *SqliteArchive) StoreJobMeta(job *schema.Job) error {\n\tvar metaBuf bytes.Buffer\n\tif err := EncodeJobMeta(&metaBuf, job); err != nil {\n\t\tcclog.Error(\"SqliteArchive StoreJobMeta() > encoding error\")\n\t\treturn err\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, created_at, updated_at)\n\t\tVALUES (?, ?, ?, ?, ?, ?)\n\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n\t\t\tmeta_json = excluded.meta_json,\n\t\t\tupdated_at = excluded.updated_at\n\t`, job.JobID, job.Cluster, job.StartTime, metaBuf.Bytes(), now, now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive StoreJobMeta() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (sa *SqliteArchive) ImportJob(jobMeta *schema.Job, jobData *schema.JobData) error {\n\tvar metaBuf, dataBuf bytes.Buffer\n\tif err := EncodeJobMeta(&metaBuf, jobMeta); err != nil {\n\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding meta error\")\n\t\treturn err\n\t}\n\tif err := EncodeJobData(&dataBuf, jobData); err != nil {\n\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding data error\")\n\t\treturn err\n\t}\n\n\tvar dataBytes []byte\n\tvar compressed bool\n\n\tif dataBuf.Len() > 2000 {\n\t\tvar compressedBuf bytes.Buffer\n\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n\t\tif _, err := gzipWriter.Write(dataBuf.Bytes()); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip write error: %v\", err)\n\t\t\treturn err\n\t\t}\n\t\tif err := gzipWriter.Close(); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip close error: %v\", err)\n\t\t\treturn err\n\t\t}\n\t\tdataBytes = compressedBuf.Bytes()\n\t\tcompressed = true\n\t} else {\n\t\tdataBytes = dataBuf.Bytes()\n\t\tcompressed = false\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, data_json, data_compressed, created_at, updated_at)\n\t\tVALUES (?, ?, ?, ?, ?, ?, ?, ?)\n\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n\t\t\tmeta_json = excluded.meta_json,\n\t\t\tdata_json = excluded.data_json,\n\t\t\tdata_compressed = excluded.data_compressed,\n\t\t\tupdated_at = excluded.updated_at\n\t`, jobMeta.JobID, jobMeta.Cluster, jobMeta.StartTime, metaBuf.Bytes(), dataBytes, compressed, now, now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive ImportJob() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (sa *SqliteArchive) GetClusters() []string {\n\treturn sa.clusters\n}\n\nfunc (sa *SqliteArchive) CleanUp(jobs []*schema.Job) {\n\tstart := time.Now()\n\tcount := 0\n\n\ttx, err := sa.db.Begin()\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > transaction error: %v\", err)\n\t\treturn\n\t}\n\tdefer tx.Rollback()\n\n\tstmt, err := tx.Prepare(\"DELETE FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > prepare error: %v\", err)\n\t\treturn\n\t}\n\tdefer stmt.Close()\n\n\tfor _, job := range jobs {\n\t\tif job == nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() error: job is nil\")\n\t\t\tcontinue\n\t\t}\n\n\t\tif _, err := stmt.Exec(job.JobID, job.Cluster, job.StartTime); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() > delete error: %v\", err)\n\t\t} else {\n\t\t\tcount++\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > commit error: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Retention Service - Remove %d jobs from SQLite in %s\", count, time.Since(start))\n}\n\nfunc (sa *SqliteArchive) Move(jobs []*schema.Job, targetPath string) {\n\t// For SQLite, \"move\" means updating the cluster field or similar\n\t// This is interpretation-dependent; for now we'll just log\n\tcclog.Warnf(\"SqliteArchive Move() is not fully implemented - moves within database not applicable\")\n}\n\nfunc (sa *SqliteArchive) Clean(before int64, after int64) {\n\tif after == 0 {\n\t\tafter = math.MaxInt64\n\t}\n\n\tresult, err := sa.db.Exec(\"DELETE FROM jobs WHERE start_time < ? OR start_time > ?\", before, after)\n\tif err != nil {\n\t\tcclog.Fatalf(\"SqliteArchive Clean() > delete error: %s\", err.Error())\n\t}\n\n\trowsAffected, _ := result.RowsAffected()\n\tcclog.Infof(\"SqliteArchive Clean() removed %d jobs\", rowsAffected)\n}\n\nfunc (sa *SqliteArchive) Compress(jobs []*schema.Job) {\n\tvar cnt int\n\tstart := time.Now()\n\n\ttx, err := sa.db.Begin()\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > transaction error: %v\", err)\n\t\treturn\n\t}\n\tdefer tx.Rollback()\n\n\tstmt, err := tx.Prepare(\"UPDATE jobs SET data_json = ?, data_compressed = 1 WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > prepare error: %v\", err)\n\t\treturn\n\t}\n\tdefer stmt.Close()\n\n\tfor _, job := range jobs {\n\t\tvar dataBlob []byte\n\t\tvar compressed bool\n\t\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\t\tif err != nil || compressed || len(dataBlob) < 2000 {\n\t\t\tcontinue // Skip if error, already compressed, or too small\n\t\t}\n\n\t\t// Compress the data\n\t\tvar compressedBuf bytes.Buffer\n\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n\t\tif _, err := gzipWriter.Write(dataBlob); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Compress() > gzip error: %v\", err)\n\t\t\tgzipWriter.Close()\n\t\t\tcontinue\n\t\t}\n\t\tgzipWriter.Close()\n\n\t\tif _, err := stmt.Exec(compressedBuf.Bytes(), job.JobID, job.Cluster, job.StartTime); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Compress() > update error: %v\", err)\n\t\t} else {\n\t\t\tcnt++\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > commit error: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Compression Service - %d jobs in SQLite took %s\", cnt, time.Since(start))\n}\n\nfunc (sa *SqliteArchive) CompressLast(starttime int64) int64 {\n\tvar lastStr string\n\terr := sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'compress_last'\").Scan(&lastStr)\n\n\tvar last int64\n\tif err == sql.ErrNoRows {\n\t\tlast = starttime\n\t} else if err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CompressLast() > query error: %v\", err)\n\t\tlast = starttime\n\t} else {\n\t\tlast, err = strconv.ParseInt(lastStr, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CompressLast() > parse error: %v\", err)\n\t\t\tlast = starttime\n\t\t}\n\t}\n\n\tcclog.Infof(\"SqliteArchive CompressLast() - start %d last %d\", starttime, last)\n\n\t// Update timestamp\n\t_, err = sa.db.Exec(`\n\t\tINSERT INTO metadata (key, value) VALUES ('compress_last', ?)\n\t\tON CONFLICT(key) DO UPDATE SET value = excluded.value\n\t`, fmt.Sprintf(\"%d\", starttime))\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CompressLast() > update error: %v\", err)\n\t}\n\n\treturn last\n}\n\ntype sqliteJobRow struct {\n\tmetaBlob   []byte\n\tdataBlob   []byte\n\tcompressed bool\n}\n\nfunc (sa *SqliteArchive) Iter(loadMetricData bool) <-chan JobContainer {\n\tch := make(chan JobContainer)\n\n\tgo func() {\n\t\tdefer close(ch)\n\n\t\tconst chunkSize = 1000\n\t\toffset := 0\n\n\t\tvar query string\n\t\tif loadMetricData {\n\t\t\tquery = \"SELECT meta_json, data_json, data_compressed FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n\t\t} else {\n\t\t\tquery = \"SELECT meta_json FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n\t\t}\n\n\t\tnumWorkers := 4\n\t\tjobRows := make(chan sqliteJobRow, numWorkers*2)\n\t\tvar wg sync.WaitGroup\n\n\t\tfor range numWorkers {\n\t\t\twg.Go(func() {\n\t\t\t\tfor row := range jobRows {\n\t\t\t\t\tjob, err := DecodeJobMeta(bytes.NewReader(row.metaBlob))\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode meta error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\n\t\t\t\t\tif loadMetricData && row.dataBlob != nil {\n\t\t\t\t\t\tvar reader io.Reader = bytes.NewReader(row.dataBlob)\n\t\t\t\t\t\tif row.compressed {\n\t\t\t\t\t\t\tgzipReader, err := gzip.NewReader(reader)\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > gzip error: %v\", err)\n\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tdecompressed, err := io.ReadAll(gzipReader)\n\t\t\t\t\t\t\tgzipReader.Close()\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decompress error: %v\", err)\n\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\treader = bytes.NewReader(decompressed)\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\t\t\t\t\t\tjobData, err := DecodeJobData(reader, key)\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode data error: %v\", err)\n\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: &jobData}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else {\n\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\n\t\tfor {\n\t\t\trows, err := sa.db.Query(query, chunkSize, offset)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Fatalf(\"SqliteArchive Iter() > query error: %s\", err.Error())\n\t\t\t}\n\n\t\t\trowCount := 0\n\t\t\tfor rows.Next() {\n\t\t\t\tvar row sqliteJobRow\n\n\t\t\t\tif loadMetricData {\n\t\t\t\t\tif err := rows.Scan(&row.metaBlob, &row.dataBlob, &row.compressed); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif err := rows.Scan(&row.metaBlob); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\trow.dataBlob = nil\n\t\t\t\t\trow.compressed = false\n\t\t\t\t}\n\n\t\t\t\tjobRows <- row\n\t\t\t\trowCount++\n\t\t\t}\n\t\t\trows.Close()\n\n\t\t\tif rowCount < chunkSize {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\toffset += chunkSize\n\t\t}\n\n\t\tclose(jobRows)\n\t\twg.Wait()\n\t}()\n\n\treturn ch\n}\n\nfunc (sa *SqliteArchive) StoreClusterCfg(name string, config *schema.Cluster) error {\n\tvar configBuf bytes.Buffer\n\tif err := EncodeCluster(&configBuf, config); err != nil {\n\t\tcclog.Error(\"SqliteArchive StoreClusterCfg() > encoding error\")\n\t\treturn err\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO clusters (name, config_json, updated_at)\n\t\tVALUES (?, ?, ?)\n\t\tON CONFLICT(name) DO UPDATE SET\n\t\t\tconfig_json = excluded.config_json,\n\t\t\tupdated_at = excluded.updated_at\n\t`, name, configBuf.Bytes(), now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive StoreClusterCfg() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\t// Update clusters list if new\n\tfound := slices.Contains(sa.clusters, name)\n\tif !found {\n\t\tsa.clusters = append(sa.clusters, name)\n\t}\n\n\treturn nil\n}\n","numLines":692,"startLine":1,"totalLines":692}},"sourceToolAssistantUUID":"641c9a76-91d8-4156-a19d-7ccb6d93cf69","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"d8f1148f-83ce-49d1-8a7f-4e6531306bf4","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01RUChJr4277fRqYrmyucysh","toolUseID":"toolu_01RUChJr4277fRqYrmyucysh","timestamp":"2026-03-16T10:12:41.123Z","uuid":"bd8768f9-8c15-4589-8610-5850b4638227","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d8f1148f-83ce-49d1-8a7f-4e6531306bf4","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RUChJr4277fRqYrmyucysh","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"database/sql\"\n    11→\t\"encoding/json\"\n    12→\t\"fmt\"\n    13→\t\"slices\"\n    14→\t\"sort\"\n    15→\t\"strings\"\n    16→\t\"sync\"\n    17→\t\"time\"\n    18→\n    19→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    20→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n    23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    24→\tsq \"github.com/Masterminds/squirrel\"\n    25→\t\"github.com/jmoiron/sqlx\"\n    26→)\n    27→\n    28→var (\n    29→\tnodeRepoOnce     sync.Once\n    30→\tnodeRepoInstance *NodeRepository\n    31→)\n    32→\n    33→type NodeRepository struct {\n    34→\tDB        *sqlx.DB\n    35→\tstmtCache *sq.StmtCache\n    36→\tcache     *lrucache.Cache\n    37→\tdriver    string\n    38→}\n    39→\n    40→func GetNodeRepository() *NodeRepository {\n    41→\tnodeRepoOnce.Do(func() {\n    42→\t\tdb := GetConnection()\n    43→\n    44→\t\tnodeRepoInstance = &NodeRepository{\n    45→\t\t\tDB:     db.DB,\n    46→\t\t\tdriver: db.Driver,\n    47→\n    48→\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n    49→\t\t\tcache:     lrucache.New(repoConfig.CacheSize),\n    50→\t\t}\n    51→\t})\n    52→\treturn nodeRepoInstance\n    53→}\n    54→\n    55→// latestStateCondition returns a squirrel expression that restricts node_state\n    56→// rows to the latest per node_id using a correlated subquery.\n    57→// Requires the query to join node and node_state tables.\n    58→func latestStateCondition() sq.Sqlizer {\n    59→\treturn sq.Expr(\n    60→\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n    61→\t)\n    62→}\n    63→\n    64→// applyNodeFilters applies common NodeFilter conditions to a query that joins\n    65→// the node and node_state tables with latestStateCondition.\n    66→func applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n    67→\tfor _, f := range filters {\n    68→\t\tif f.Cluster != nil {\n    69→\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n    70→\t\t}\n    71→\t\tif f.SubCluster != nil {\n    72→\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n    73→\t\t}\n    74→\t\tif f.Hostname != nil {\n    75→\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n    76→\t\t}\n    77→\t\tif f.SchedulerState != nil {\n    78→\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n    79→\t\t}\n    80→\t\tif f.HealthState != nil {\n    81→\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n    82→\t\t}\n    83→\t}\n    84→\treturn query\n    85→}\n    86→\n    87→func (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n    88→\tstart := time.Now()\n    89→\n    90→\tRawMetaData := make([]byte, 0)\n    91→\n    92→\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n    93→\t\tWhere(\"node.hostname = ?\", hostname).\n    94→\t\tWhere(\"node.cluster = ?\", cluster).\n    95→\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n    96→\t\tcclog.Warn(\"Error while scanning for node metadata\")\n    97→\t\treturn nil, err\n    98→\t}\n    99→\n   100→\tif len(RawMetaData) == 0 {\n   101→\t\treturn nil, nil\n   102→\t}\n   103→\n   104→\tMetaData := make(map[string]string)\n   105→\n   106→\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n   107→\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n   108→\t\treturn nil, err\n   109→\t}\n   110→\n   111→\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n   112→\treturn MetaData, nil\n   113→}\n   114→\n   115→func (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n   116→\tnode := &schema.Node{}\n   117→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   118→\t\t\"node_state.node_state\", \"node_state.health_state\").\n   119→\t\tFrom(\"node\").\n   120→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   121→\t\tWhere(latestStateCondition()).\n   122→\t\tWhere(\"node.hostname = ?\", hostname).\n   123→\t\tWhere(\"node.cluster = ?\", cluster).\n   124→\t\tRunWith(r.DB).\n   125→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n   126→\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n   127→\t\treturn nil, err\n   128→\t}\n   129→\n   130→\tif withMeta {\n   131→\t\tvar err error\n   132→\t\tvar meta map[string]string\n   133→\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n   134→\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n   135→\t\t\treturn nil, err\n   136→\t\t}\n   137→\t\tnode.MetaData = meta\n   138→\t}\n   139→\n   140→\treturn node, nil\n   141→}\n   142→\n   143→func (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n   144→\tnode := &schema.Node{}\n   145→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   146→\t\t\"node_state.node_state\", \"node_state.health_state\").\n   147→\t\tFrom(\"node\").\n   148→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   149→\t\tWhere(latestStateCondition()).\n   150→\t\tWhere(\"node.id = ?\", id).\n   151→\t\tRunWith(r.DB).\n   152→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n   153→\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n   154→\t\treturn nil, err\n   155→\t}\n   156→\n   157→\tif withMeta {\n   158→\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n   159→\t\tif metaErr != nil {\n   160→\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n   161→\t\t\treturn nil, metaErr\n   162→\t\t}\n   163→\t\tnode.MetaData = meta\n   164→\t}\n   165→\n   166→\treturn node, nil\n   167→}\n   168→\n   169→// const NamedNodeInsert string = `\n   170→// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n   171→//\n   172→//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n   173→//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n   174→//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n   175→\n   176→const NamedNodeInsert string = `\n   177→INSERT INTO node (hostname, cluster, subcluster)\n   178→\tVALUES (:hostname, :cluster, :subcluster);`\n   179→\n   180→// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n   181→// from a nodestate update from the job scheduler.\n   182→func (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n   183→\tvar err error\n   184→\n   185→\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n   186→\tif err != nil {\n   187→\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n   188→\t\treturn 0, err\n   189→\t}\n   190→\tnode.ID, err = res.LastInsertId()\n   191→\tif err != nil {\n   192→\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n   193→\t\treturn 0, err\n   194→\t}\n   195→\n   196→\treturn node.ID, nil\n   197→}\n   198→\n   199→const NamedNodeStateInsert string = `\n   200→INSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n   201→\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n   202→\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n   203→\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n   204→\n   205→// TODO: Add real Monitoring Health State\n   206→\n   207→// UpdateNodeState is called from the Node REST API to add a row in the node state table\n   208→func (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n   209→\tvar id int64\n   210→\n   211→\tif err := sq.Select(\"id\").From(\"node\").\n   212→\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n   213→\t\tQueryRow().Scan(&id); err != nil {\n   214→\t\tif err == sql.ErrNoRows {\n   215→\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n   216→\t\t\tif err != nil {\n   217→\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n   218→\t\t\t\treturn err\n   219→\t\t\t}\n   220→\t\t\tnode := schema.NodeDB{\n   221→\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n   222→\t\t\t}\n   223→\t\t\tid, err = r.AddNode(&node)\n   224→\t\t\tif err != nil {\n   225→\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n   226→\t\t\t\treturn err\n   227→\t\t\t}\n   228→\n   229→\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n   230→\t\t} else {\n   231→\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n   232→\t\t\treturn err\n   233→\t\t}\n   234→\t}\n   235→\n   236→\tnodeState.NodeID = id\n   237→\n   238→\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n   239→\tif err != nil {\n   240→\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n   241→\t\treturn err\n   242→\t}\n   243→\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n   244→\treturn nil\n   245→}\n   246→\n   247→// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n   248→// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n   249→// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n   250→// \t\treturn err\n   251→// \t}\n   252→//\n   253→// \treturn nil\n   254→// }\n   255→\n   256→// NodeStateWithNode combines a node state row with denormalized node info.\n   257→type NodeStateWithNode struct {\n   258→\tID              int64  `db:\"id\"`\n   259→\tTimeStamp       int64  `db:\"time_stamp\"`\n   260→\tNodeState       string `db:\"node_state\"`\n   261→\tHealthState     string `db:\"health_state\"`\n   262→\tHealthMetrics   string `db:\"health_metrics\"`\n   263→\tCpusAllocated   int    `db:\"cpus_allocated\"`\n   264→\tMemoryAllocated int64  `db:\"memory_allocated\"`\n   265→\tGpusAllocated   int    `db:\"gpus_allocated\"`\n   266→\tJobsRunning     int    `db:\"jobs_running\"`\n   267→\tHostname        string `db:\"hostname\"`\n   268→\tCluster         string `db:\"cluster\"`\n   269→\tSubCluster      string `db:\"subcluster\"`\n   270→}\n   271→\n   272→// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n   273→// joined with node info for denormalized archiving.\n   274→func (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n   275→\trows, err := sq.Select(\n   276→\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n   277→\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n   278→\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n   279→\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n   280→\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   281→\t).\n   282→\t\tFrom(\"node_state\").\n   283→\t\tJoin(\"node ON node_state.node_id = node.id\").\n   284→\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n   285→\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n   286→\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n   287→\t\tRunWith(r.DB).Query()\n   288→\tif err != nil {\n   289→\t\treturn nil, err\n   290→\t}\n   291→\tdefer rows.Close()\n   292→\n   293→\tvar result []NodeStateWithNode\n   294→\tfor rows.Next() {\n   295→\t\tvar ns NodeStateWithNode\n   296→\t\tvar healthMetrics sql.NullString\n   297→\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n   298→\t\t\t&ns.HealthState, &healthMetrics,\n   299→\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n   300→\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n   301→\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n   302→\t\t\treturn nil, err\n   303→\t\t}\n   304→\t\tns.HealthMetrics = healthMetrics.String\n   305→\t\tresult = append(result, ns)\n   306→\t}\n   307→\treturn result, nil\n   308→}\n   309→\n   310→// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n   311→// but always preserves the row with the latest timestamp per node_id.\n   312→func (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n   313→\tres, err := r.DB.Exec(\n   314→\t\t`DELETE FROM node_state WHERE time_stamp < ?\n   315→\t\t AND id NOT IN (\n   316→\t\t   SELECT id FROM node_state ns2\n   317→\t\t   WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n   318→\t\t )`,\n   319→\t\tcutoff,\n   320→\t)\n   321→\tif err != nil {\n   322→\t\treturn 0, err\n   323→\t}\n   324→\treturn res.RowsAffected()\n   325→}\n   326→\n   327→func (r *NodeRepository) DeleteNode(id int64) error {\n   328→\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n   329→\tif err != nil {\n   330→\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n   331→\t\treturn err\n   332→\t}\n   333→\tcclog.Infof(\"deleted node '%d' from DB\", id)\n   334→\treturn nil\n   335→}\n   336→\n   337→// QueryNodes returns a list of nodes based on a node filter. It always operates\n   338→// on the last state (largest timestamp).\n   339→func (r *NodeRepository) QueryNodes(\n   340→\tctx context.Context,\n   341→\tfilters []*model.NodeFilter,\n   342→\tpage *model.PageRequest,\n   343→\torder *model.OrderByInput, // Currently unused!\n   344→) ([]*schema.Node, error) {\n   345→\tquery, qerr := AccessCheck(ctx,\n   346→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   347→\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n   348→\t\t\tFrom(\"node\").\n   349→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   350→\t\t\tWhere(latestStateCondition()))\n   351→\tif qerr != nil {\n   352→\t\treturn nil, qerr\n   353→\t}\n   354→\n   355→\tquery = applyNodeFilters(query, filters)\n   356→\tquery = query.OrderBy(\"node.hostname ASC\")\n   357→\n   358→\tif page != nil && page.ItemsPerPage != -1 {\n   359→\t\tlimit := uint64(page.ItemsPerPage)\n   360→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n   361→\t}\n   362→\n   363→\trows, err := query.RunWith(r.stmtCache).Query()\n   364→\tif err != nil {\n   365→\t\tqueryString, queryVars, _ := query.ToSql()\n   366→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   367→\t\treturn nil, err\n   368→\t}\n   369→\tdefer rows.Close()\n   370→\n   371→\tnodes := make([]*schema.Node, 0)\n   372→\tfor rows.Next() {\n   373→\t\tnode := schema.Node{}\n   374→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n   375→\t\t\t&node.NodeState, &node.HealthState); err != nil {\n   376→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n   377→\t\t\treturn nil, err\n   378→\t\t}\n   379→\t\tnodes = append(nodes, &node)\n   380→\t}\n   381→\n   382→\tif err := rows.Err(); err != nil {\n   383→\t\treturn nil, err\n   384→\t}\n   385→\n   386→\treturn nodes, nil\n   387→}\n   388→\n   389→// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n   390→// on the last state (largest timestamp). It includes both (!) optional JSON column data\n   391→func (r *NodeRepository) QueryNodesWithMeta(\n   392→\tctx context.Context,\n   393→\tfilters []*model.NodeFilter,\n   394→\tpage *model.PageRequest,\n   395→\torder *model.OrderByInput, // Currently unused!\n   396→) ([]*schema.Node, error) {\n   397→\tquery, qerr := AccessCheck(ctx,\n   398→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   399→\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n   400→\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n   401→\t\t\tFrom(\"node\").\n   402→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   403→\t\t\tWhere(latestStateCondition()))\n   404→\tif qerr != nil {\n   405→\t\treturn nil, qerr\n   406→\t}\n   407→\n   408→\tquery = applyNodeFilters(query, filters)\n   409→\tquery = query.OrderBy(\"node.hostname ASC\")\n   410→\n   411→\tif page != nil && page.ItemsPerPage != -1 {\n   412→\t\tlimit := uint64(page.ItemsPerPage)\n   413→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n   414→\t}\n   415→\n   416→\trows, err := query.RunWith(r.stmtCache).Query()\n   417→\tif err != nil {\n   418→\t\tqueryString, queryVars, _ := query.ToSql()\n   419→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   420→\t\treturn nil, err\n   421→\t}\n   422→\tdefer rows.Close()\n   423→\n   424→\tnodes := make([]*schema.Node, 0)\n   425→\tfor rows.Next() {\n   426→\t\tnode := schema.Node{}\n   427→\t\tRawMetaData := make([]byte, 0)\n   428→\t\tRawMetricHealth := make([]byte, 0)\n   429→\n   430→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n   431→\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n   432→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n   433→\t\t\treturn nil, err\n   434→\t\t}\n   435→\n   436→\t\tif len(RawMetaData) == 0 {\n   437→\t\t\tnode.MetaData = nil\n   438→\t\t} else {\n   439→\t\t\tmetaData := make(map[string]string)\n   440→\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n   441→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n   442→\t\t\t\treturn nil, err\n   443→\t\t\t}\n   444→\t\t\tnode.MetaData = metaData\n   445→\t\t}\n   446→\n   447→\t\tif len(RawMetricHealth) == 0 {\n   448→\t\t\tnode.HealthData = nil\n   449→\t\t} else {\n   450→\t\t\thealthData := make(map[string][]string)\n   451→\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n   452→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n   453→\t\t\t\treturn nil, err\n   454→\t\t\t}\n   455→\t\t\tnode.HealthData = healthData\n   456→\t\t}\n   457→\n   458→\t\tnodes = append(nodes, &node)\n   459→\t}\n   460→\n   461→\tif err := rows.Err(); err != nil {\n   462→\t\treturn nil, err\n   463→\t}\n   464→\n   465→\treturn nodes, nil\n   466→}\n   467→\n   468→// CountNodes returns the total matched nodes based on a node filter. It always operates\n   469→// on the last state (largest timestamp) per node.\n   470→func (r *NodeRepository) CountNodes(\n   471→\tctx context.Context,\n   472→\tfilters []*model.NodeFilter,\n   473→) (int, error) {\n   474→\tquery, qerr := AccessCheck(ctx,\n   475→\t\tsq.Select(\"COUNT(*)\").\n   476→\t\t\tFrom(\"node\").\n   477→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   478→\t\t\tWhere(latestStateCondition()))\n   479→\tif qerr != nil {\n   480→\t\treturn 0, qerr\n   481→\t}\n   482→\n   483→\tquery = applyNodeFilters(query, filters)\n   484→\n   485→\tvar count int\n   486→\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n   487→\t\tqueryString, queryVars, _ := query.ToSql()\n   488→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   489→\t\treturn 0, err\n   490→\t}\n   491→\n   492→\treturn count, nil\n   493→}\n   494→\n   495→func (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n   496→\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   497→\t\t\"node_state.node_state\", \"node_state.health_state\").\n   498→\t\tFrom(\"node\").\n   499→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   500→\t\tWhere(latestStateCondition()).\n   501→\t\tWhere(\"node.cluster = ?\", cluster).\n   502→\t\tOrderBy(\"node.hostname ASC\")\n   503→\n   504→\trows, err := q.RunWith(r.DB).Query()\n   505→\tif err != nil {\n   506→\t\tcclog.Warn(\"Error while querying node list\")\n   507→\t\treturn nil, err\n   508→\t}\n   509→\tnodeList := make([]*schema.Node, 0, 100)\n   510→\tdefer rows.Close()\n   511→\tfor rows.Next() {\n   512→\t\tnode := &schema.Node{}\n   513→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n   514→\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n   515→\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n   516→\t\t\treturn nil, err\n   517→\t\t}\n   518→\n   519→\t\tnodeList = append(nodeList, node)\n   520→\t}\n   521→\n   522→\treturn nodeList, nil\n   523→}\n   524→\n   525→func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n   526→\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n   527→\t\tFrom(\"node\").\n   528→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   529→\t\tWhere(latestStateCondition()).\n   530→\t\tWhere(\"node.cluster = ?\", cluster).\n   531→\t\tOrderBy(\"node.hostname ASC\")\n   532→\n   533→\trows, err := q.RunWith(r.DB).Query()\n   534→\tif err != nil {\n   535→\t\tcclog.Warn(\"Error while querying node list\")\n   536→\t\treturn nil, err\n   537→\t}\n   538→\n   539→\tstateMap := make(map[string]string)\n   540→\tdefer rows.Close()\n   541→\tfor rows.Next() {\n   542→\t\tvar hostname, nodestate string\n   543→\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n   544→\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n   545→\t\t\treturn nil, err\n   546→\t\t}\n   547→\n   548→\t\tstateMap[hostname] = nodestate\n   549→\t}\n   550→\n   551→\treturn stateMap, nil\n   552→}\n   553→\n   554→func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n   555→\tquery, qerr := AccessCheck(ctx,\n   556→\t\tsq.Select(column, \"COUNT(*) as count\").\n   557→\t\t\tFrom(\"node\").\n   558→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   559→\t\t\tWhere(latestStateCondition()).\n   560→\t\t\tGroupBy(column))\n   561→\tif qerr != nil {\n   562→\t\treturn nil, qerr\n   563→\t}\n   564→\n   565→\tquery = applyNodeFilters(query, filters)\n   566→\n   567→\trows, err := query.RunWith(r.stmtCache).Query()\n   568→\tif err != nil {\n   569→\t\tqueryString, queryVars, _ := query.ToSql()\n   570→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   571→\t\treturn nil, err\n   572→\t}\n   573→\tdefer rows.Close()\n   574→\n   575→\tnodes := make([]*model.NodeStates, 0)\n   576→\tfor rows.Next() {\n   577→\t\tvar state string\n   578→\t\tvar count int\n   579→\t\tif err := rows.Scan(&state, &count); err != nil {\n   580→\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n   581→\t\t\treturn nil, err\n   582→\t\t}\n   583→\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n   584→\t}\n   585→\n   586→\tif err := rows.Err(); err != nil {\n   587→\t\treturn nil, err\n   588→\t}\n   589→\n   590→\treturn nodes, nil\n   591→}\n   592→\n   593→func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n   594→\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n   595→\tif qerr != nil {\n   596→\t\treturn nil, qerr\n   597→\t}\n   598→\n   599→\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n   600→\n   601→\tfor _, f := range filters {\n   602→\t\t// Required\n   603→\t\tif f.TimeStart != nil {\n   604→\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n   605→\t\t}\n   606→\t\t// Optional\n   607→\t\tif f.Hostname != nil {\n   608→\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n   609→\t\t}\n   610→\t\tif f.Cluster != nil {\n   611→\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n   612→\t\t}\n   613→\t\tif f.SubCluster != nil {\n   614→\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n   615→\t\t}\n   616→\t\tif f.SchedulerState != nil {\n   617→\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n   618→\t\t}\n   619→\t\tif f.HealthState != nil {\n   620→\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n   621→\t\t}\n   622→\t}\n   623→\n   624→\t// Add Group and Order\n   625→\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n   626→\n   627→\trows, err := query.RunWith(r.stmtCache).Query()\n   628→\tif err != nil {\n   629→\t\tqueryString, queryVars, _ := query.ToSql()\n   630→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   631→\t\treturn nil, err\n   632→\t}\n   633→\tdefer rows.Close()\n   634→\n   635→\trawData := make(map[string][][]int)\n   636→\tfor rows.Next() {\n   637→\t\tvar state string\n   638→\t\tvar timestamp, count int\n   639→\n   640→\t\tif err := rows.Scan(&state, &timestamp, &count); err != nil {\n   641→\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n   642→\t\t\treturn nil, err\n   643→\t\t}\n   644→\n   645→\t\tif rawData[state] == nil {\n   646→\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n   647→\t\t}\n   648→\n   649→\t\trawData[state][0] = append(rawData[state][0], timestamp)\n   650→\t\trawData[state][1] = append(rawData[state][1], count)\n   651→\t}\n   652→\n   653→\tif err := rows.Err(); err != nil {\n   654→\t\treturn nil, err\n   655→\t}\n   656→\n   657→\ttimedStates := make([]*model.NodeStatesTimed, 0)\n   658→\tfor state, data := range rawData {\n   659→\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n   660→\t\ttimedStates = append(timedStates, &entry)\n   661→\t}\n   662→\n   663→\treturn timedStates, nil\n   664→}\n   665→\n   666→func (r *NodeRepository) GetNodesForList(\n   667→\tctx context.Context,\n   668→\tcluster string,\n   669→\tsubCluster string,\n   670→\tstateFilter string,\n   671→\tnodeFilter string,\n   672→\tpage *model.PageRequest,\n   673→) ([]string, map[string]string, int, bool, error) {\n   674→\t// Init Return Vars\n   675→\tnodes := make([]string, 0)\n   676→\tstateMap := make(map[string]string)\n   677→\tcountNodes := 0\n   678→\thasNextPage := false\n   679→\n   680→\t// Build Filters\n   681→\tqueryFilters := make([]*model.NodeFilter, 0)\n   682→\tif cluster != \"\" {\n   683→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n   684→\t}\n   685→\tif subCluster != \"\" {\n   686→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n   687→\t}\n   688→\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n   689→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n   690→\t}\n   691→\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n   692→\t\tqueryState := schema.SchedulerState(stateFilter)\n   693→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n   694→\t}\n   695→\t// if healthFilter != \"all\" {\n   696→\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n   697→\t// }\n   698→\n   699→\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n   700→\tvar backupItems int\n   701→\tif stateFilter == \"notindb\" {\n   702→\t\tbackupItems = page.ItemsPerPage\n   703→\t\tpage.ItemsPerPage = -1\n   704→\t}\n   705→\n   706→\t// Query Nodes From DB\n   707→\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n   708→\tif serr != nil {\n   709→\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n   710→\t\treturn nil, nil, 0, false, serr\n   711→\t}\n   712→\n   713→\t// Intermediate Node Result Info\n   714→\tfor _, node := range rawNodes {\n   715→\t\tif node == nil {\n   716→\t\t\tcontinue\n   717→\t\t}\n   718→\t\tnodes = append(nodes, node.Hostname)\n   719→\t\tstateMap[node.Hostname] = string(node.NodeState)\n   720→\t}\n   721→\n   722→\t// Special Case: Find Nodes not in DB node table but in metricStore only\n   723→\tif stateFilter == \"notindb\" {\n   724→\t\t// Reapply Original Paging\n   725→\t\tpage.ItemsPerPage = backupItems\n   726→\t\t// Get Nodes From Topology\n   727→\t\tvar topoNodes []string\n   728→\t\tif subCluster != \"\" {\n   729→\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n   730→\t\t\ttopoNodes = scNodes.PrintList()\n   731→\t\t} else {\n   732→\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n   733→\t\t\tfor _, nodeList := range subClusterNodeLists {\n   734→\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n   735→\t\t\t}\n   736→\t\t}\n   737→\t\t// Compare to all nodes from cluster/subcluster in DB\n   738→\t\tvar missingNodes []string\n   739→\t\tfor _, scanNode := range topoNodes {\n   740→\t\t\tif !slices.Contains(nodes, scanNode) {\n   741→\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n   742→\t\t\t}\n   743→\t\t}\n   744→\t\t// Filter nodes by name\n   745→\t\tif nodeFilter != \"\" {\n   746→\t\t\tfilteredNodesByName := []string{}\n   747→\t\t\tfor _, missingNode := range missingNodes {\n   748→\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n   749→\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n   750→\t\t\t\t}\n   751→\t\t\t}\n   752→\t\t\tmissingNodes = filteredNodesByName\n   753→\t\t}\n   754→\t\t// Sort Missing Nodes Alphanumerically\n   755→\t\tslices.Sort(missingNodes)\n   756→\t\t// Total Missing\n   757→\t\tcountNodes = len(missingNodes)\n   758→\t\t// Apply paging\n   759→\t\tif countNodes > page.ItemsPerPage {\n   760→\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n   761→\t\t\tend := start + page.ItemsPerPage\n   762→\t\t\tif end > countNodes {\n   763→\t\t\t\tend = countNodes\n   764→\t\t\t\thasNextPage = false\n   765→\t\t\t} else {\n   766→\t\t\t\thasNextPage = true\n   767→\t\t\t}\n   768→\t\t\tnodes = missingNodes[start:end]\n   769→\t\t} else {\n   770→\t\t\tnodes = missingNodes\n   771→\t\t}\n   772→\n   773→\t} else {\n   774→\t\t// DB Nodes: Count and derive hasNextPage from count\n   775→\t\tvar cerr error\n   776→\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n   777→\t\tif cerr != nil {\n   778→\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n   779→\t\t\treturn nil, nil, 0, false, cerr\n   780→\t\t}\n   781→\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n   782→\t}\n   783→\n   784→\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n   785→\tif stateFilter == \"all\" && countNodes == 0 {\n   786→\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n   787→\t}\n   788→\n   789→\treturn nodes, stateMap, countNodes, hasNextPage, nil\n   790→}\n   791→\n   792→func AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n   793→\tuser := GetUserFromContext(ctx)\n   794→\treturn AccessCheckWithUser(user, query)\n   795→}\n   796→\n   797→func AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n   798→\tif user == nil {\n   799→\t\tvar qnil sq.SelectBuilder\n   800→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n   801→\t}\n   802→\n   803→\tswitch {\n   804→\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n   805→\t// \treturn query, nil\n   806→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n   807→\t\treturn query, nil\n   808→\tdefault: // No known Role: No Access, return error\n   809→\t\tvar qnil sq.SelectBuilder\n   810→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n   811→\t}\n   812→}\n   813→\n   814→func getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n   815→\t// 0) Init additional vars\n   816→\thasNextPage := false\n   817→\ttotalNodes := 0\n   818→\n   819→\t// 1) Get list of all nodes\n   820→\tvar topolNodes []string\n   821→\tif subCluster != \"\" {\n   822→\t\tscNodes := archive.NodeLists[cluster][subCluster]\n   823→\t\ttopolNodes = scNodes.PrintList()\n   824→\t} else {\n   825→\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n   826→\t\tfor _, nodeList := range subClusterNodeLists {\n   827→\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n   828→\t\t}\n   829→\t}\n   830→\n   831→\t// 2) Filter nodes\n   832→\tif nodeFilter != \"\" {\n   833→\t\tfilteredNodes := []string{}\n   834→\t\tfor _, node := range topolNodes {\n   835→\t\t\tif strings.Contains(node, nodeFilter) {\n   836→\t\t\t\tfilteredNodes = append(filteredNodes, node)\n   837→\t\t\t}\n   838→\t\t}\n   839→\t\ttopolNodes = filteredNodes\n   840→\t}\n   841→\n   842→\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n   843→\ttotalNodes = len(topolNodes)\n   844→\tsort.Strings(topolNodes)\n   845→\n   846→\t// 3) Apply paging\n   847→\tif len(topolNodes) > page.ItemsPerPage {\n   848→\t\tstart := (page.Page - 1) * page.ItemsPerPage\n   849→\t\tend := start + page.ItemsPerPage\n   850→\t\tif end >= len(topolNodes) {\n   851→\t\t\tend = len(topolNodes)\n   852→\t\t\thasNextPage = false\n   853→\t\t} else {\n   854→\t\t\thasNextPage = true\n   855→\t\t}\n   856→\t\ttopolNodes = topolNodes[start:end]\n   857→\t}\n   858→\n   859→\treturn topolNodes, totalNodes, hasNextPage\n   860→}\n   861→"}]},"uuid":"2188f7a5-cd29-489c-9a95-04382c575155","timestamp":"2026-03-16T10:12:41.122Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sort\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\tnodeRepoOnce     sync.Once\n\tnodeRepoInstance *NodeRepository\n)\n\ntype NodeRepository struct {\n\tDB        *sqlx.DB\n\tstmtCache *sq.StmtCache\n\tcache     *lrucache.Cache\n\tdriver    string\n}\n\nfunc GetNodeRepository() *NodeRepository {\n\tnodeRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tnodeRepoInstance = &NodeRepository{\n\t\t\tDB:     db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache:     lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn nodeRepoInstance\n}\n\n// latestStateCondition returns a squirrel expression that restricts node_state\n// rows to the latest per node_id using a correlated subquery.\n// Requires the query to join node and node_state tables.\nfunc latestStateCondition() sq.Sqlizer {\n\treturn sq.Expr(\n\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n\t)\n}\n\n// applyNodeFilters applies common NodeFilter conditions to a query that joins\n// the node and node_state tables with latestStateCondition.\nfunc applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\treturn query\n}\n\nfunc (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n\tstart := time.Now()\n\n\tRawMetaData := make([]byte, 0)\n\n\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n\t\tcclog.Warn(\"Error while scanning for node metadata\")\n\t\treturn nil, err\n\t}\n\n\tif len(RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tMetaData := make(map[string]string)\n\n\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn MetaData, nil\n}\n\nfunc (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tvar err error\n\t\tvar meta map[string]string\n\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n\t\t\treturn nil, err\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\nfunc (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.id = ?\", id).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n\t\tif metaErr != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n\t\t\treturn nil, metaErr\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\n// const NamedNodeInsert string = `\n// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n//\n//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n\nconst NamedNodeInsert string = `\nINSERT INTO node (hostname, cluster, subcluster)\n\tVALUES (:hostname, :cluster, :subcluster);`\n\n// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n// from a nodestate update from the job scheduler.\nfunc (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n\tvar err error\n\n\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\tnode.ID, err = res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\n\treturn node.ID, nil\n}\n\nconst NamedNodeStateInsert string = `\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n\n// TODO: Add real Monitoring Health State\n\n// UpdateNodeState is called from the Node REST API to add a row in the node state table\nfunc (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n\tvar id int64\n\n\tif err := sq.Select(\"id\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n\t\tQueryRow().Scan(&id); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tnode := schema.NodeDB{\n\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n\t\t\t}\n\t\t\tid, err = r.AddNode(&node)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n\t\t\treturn err\n\t\t}\n\t}\n\n\tnodeState.NodeID = id\n\n\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n\t\treturn err\n\t}\n\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n// \t\treturn err\n// \t}\n//\n// \treturn nil\n// }\n\n// NodeStateWithNode combines a node state row with denormalized node info.\ntype NodeStateWithNode struct {\n\tID              int64  `db:\"id\"`\n\tTimeStamp       int64  `db:\"time_stamp\"`\n\tNodeState       string `db:\"node_state\"`\n\tHealthState     string `db:\"health_state\"`\n\tHealthMetrics   string `db:\"health_metrics\"`\n\tCpusAllocated   int    `db:\"cpus_allocated\"`\n\tMemoryAllocated int64  `db:\"memory_allocated\"`\n\tGpusAllocated   int    `db:\"gpus_allocated\"`\n\tJobsRunning     int    `db:\"jobs_running\"`\n\tHostname        string `db:\"hostname\"`\n\tCluster         string `db:\"cluster\"`\n\tSubCluster      string `db:\"subcluster\"`\n}\n\n// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n// joined with node info for denormalized archiving.\nfunc (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n\trows, err := sq.Select(\n\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t).\n\t\tFrom(\"node_state\").\n\t\tJoin(\"node ON node_state.node_id = node.id\").\n\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n\t\tRunWith(r.DB).Query()\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tvar result []NodeStateWithNode\n\tfor rows.Next() {\n\t\tvar ns NodeStateWithNode\n\t\tvar healthMetrics sql.NullString\n\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n\t\t\t&ns.HealthState, &healthMetrics,\n\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tns.HealthMetrics = healthMetrics.String\n\t\tresult = append(result, ns)\n\t}\n\treturn result, nil\n}\n\n// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n// but always preserves the row with the latest timestamp per node_id.\nfunc (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t`DELETE FROM node_state WHERE time_stamp < ?\n\t\t AND id NOT IN (\n\t\t   SELECT id FROM node_state ns2\n\t\t   WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n\t\t )`,\n\t\tcutoff,\n\t)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn res.RowsAffected()\n}\n\nfunc (r *NodeRepository) DeleteNode(id int64) error {\n\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted node '%d' from DB\", id)\n\treturn nil\n}\n\n// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.\nfunc (r *NodeRepository) CountNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n) (int, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column, \"COUNT(*) as count\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()).\n\t\t\tGroupBy(column))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, &timestamp, &count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,\n\tpage *model.PageRequest,\n) ([]string, map[string]string, int, bool, error) {\n\t// Init Return Vars\n\tnodes := make([]string, 0)\n\tstateMap := make(map[string]string)\n\tcountNodes := 0\n\thasNextPage := false\n\n\t// Build Filters\n\tqueryFilters := make([]*model.NodeFilter, 0)\n\tif cluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n\t}\n\tif subCluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n\t}\n\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n\t}\n\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n\t\tqueryState := schema.SchedulerState(stateFilter)\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n\t}\n\t// if healthFilter != \"all\" {\n\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n\t// }\n\n\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n\tvar backupItems int\n\tif stateFilter == \"notindb\" {\n\t\tbackupItems = page.ItemsPerPage\n\t\tpage.ItemsPerPage = -1\n\t}\n\n\t// Query Nodes From DB\n\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n\tif serr != nil {\n\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n\t\treturn nil, nil, 0, false, serr\n\t}\n\n\t// Intermediate Node Result Info\n\tfor _, node := range rawNodes {\n\t\tif node == nil {\n\t\t\tcontinue\n\t\t}\n\t\tnodes = append(nodes, node.Hostname)\n\t\tstateMap[node.Hostname] = string(node.NodeState)\n\t}\n\n\t// Special Case: Find Nodes not in DB node table but in metricStore only\n\tif stateFilter == \"notindb\" {\n\t\t// Reapply Original Paging\n\t\tpage.ItemsPerPage = backupItems\n\t\t// Get Nodes From Topology\n\t\tvar topoNodes []string\n\t\tif subCluster != \"\" {\n\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\t\ttopoNodes = scNodes.PrintList()\n\t\t} else {\n\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n\t\t\t}\n\t\t}\n\t\t// Compare to all nodes from cluster/subcluster in DB\n\t\tvar missingNodes []string\n\t\tfor _, scanNode := range topoNodes {\n\t\t\tif !slices.Contains(nodes, scanNode) {\n\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n\t\t\t}\n\t\t}\n\t\t// Filter nodes by name\n\t\tif nodeFilter != \"\" {\n\t\t\tfilteredNodesByName := []string{}\n\t\t\tfor _, missingNode := range missingNodes {\n\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n\t\t\t\t}\n\t\t\t}\n\t\t\tmissingNodes = filteredNodesByName\n\t\t}\n\t\t// Sort Missing Nodes Alphanumerically\n\t\tslices.Sort(missingNodes)\n\t\t// Total Missing\n\t\tcountNodes = len(missingNodes)\n\t\t// Apply paging\n\t\tif countNodes > page.ItemsPerPage {\n\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\t\tend := start + page.ItemsPerPage\n\t\t\tif end > countNodes {\n\t\t\t\tend = countNodes\n\t\t\t\thasNextPage = false\n\t\t\t} else {\n\t\t\t\thasNextPage = true\n\t\t\t}\n\t\t\tnodes = missingNodes[start:end]\n\t\t} else {\n\t\t\tnodes = missingNodes\n\t\t}\n\n\t} else {\n\t\t// DB Nodes: Count and derive hasNextPage from count\n\t\tvar cerr error\n\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n\t\tif cerr != nil {\n\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n\t\t\treturn nil, nil, 0, false, cerr\n\t\t}\n\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n\t}\n\n\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n\tif stateFilter == \"all\" && countNodes == 0 {\n\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n\t}\n\n\treturn nodes, stateMap, countNodes, hasNextPage, nil\n}\n\nfunc AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn AccessCheckWithUser(user, query)\n}\n\nfunc AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n\t// \treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n\t\treturn query, nil\n\tdefault: // No known Role: No Access, return error\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\nfunc getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n\t// 0) Init additional vars\n\thasNextPage := false\n\ttotalNodes := 0\n\n\t// 1) Get list of all nodes\n\tvar topolNodes []string\n\tif subCluster != \"\" {\n\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\ttopolNodes = scNodes.PrintList()\n\t} else {\n\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n\t\t}\n\t}\n\n\t// 2) Filter nodes\n\tif nodeFilter != \"\" {\n\t\tfilteredNodes := []string{}\n\t\tfor _, node := range topolNodes {\n\t\t\tif strings.Contains(node, nodeFilter) {\n\t\t\t\tfilteredNodes = append(filteredNodes, node)\n\t\t\t}\n\t\t}\n\t\ttopolNodes = filteredNodes\n\t}\n\n\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n\ttotalNodes = len(topolNodes)\n\tsort.Strings(topolNodes)\n\n\t// 3) Apply paging\n\tif len(topolNodes) > page.ItemsPerPage {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tend := start + page.ItemsPerPage\n\t\tif end >= len(topolNodes) {\n\t\t\tend = len(topolNodes)\n\t\t\thasNextPage = false\n\t\t} else {\n\t\t\thasNextPage = true\n\t\t}\n\t\ttopolNodes = topolNodes[start:end]\n\t}\n\n\treturn topolNodes, totalNodes, hasNextPage\n}\n","numLines":861,"startLine":1,"totalLines":861}},"sourceToolAssistantUUID":"d8f1148f-83ce-49d1-8a7f-4e6531306bf4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"c8d3f293-f0a4-4c69-a19e-1f7a97d640ab","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SbAkMWCk98L7vU7dNCyC7L","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"database/sql\"\n    10→\t\"encoding/json\"\n    11→\t\"strings\"\n    12→\t\"sync\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n    21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n    23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    24→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n    25→)\n    26→\n    27→// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n    28→// It mirrors the functionality of the REST API but uses NATS messaging with\n    29→// InfluxDB line protocol as the message format.\n    30→//\n    31→// # Message Format\n    32→//\n    33→// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n    34→// with the following structure:\n    35→//\n    36→//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n    37→//\n    38→// # Job Events\n    39→//\n    40→// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n    41→//\n    42→//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n    43→//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n    44→//\n    45→// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n    46→//\n    47→// Example job start message:\n    48→//\n    49→//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n    50→//\n    51→// # Node State Events\n    52→//\n    53→// Node state updates use the \"nodestate\" measurement with cluster information:\n    54→//\n    55→//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n    56→//\n    57→// The JSON payload follows the UpdateNodeStatesRequest structure.\n    58→//\n    59→// Example node state message:\n    60→//\n    61→//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\n    62→type NatsAPI struct {\n    63→\tJobRepository *repository.JobRepository\n    64→\t// RepositoryMutex protects job creation operations from race conditions\n    65→\t// when checking for duplicate jobs during startJob calls.\n    66→\tRepositoryMutex sync.Mutex\n    67→}\n    68→\n    69→// NewNatsAPI creates a new NatsAPI instance with default dependencies.\n    70→func NewNatsAPI() *NatsAPI {\n    71→\treturn &NatsAPI{\n    72→\t\tJobRepository: repository.GetJobRepository(),\n    73→\t}\n    74→}\n    75→\n    76→// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n    77→// Returns an error if the NATS client is not available or subscription fails.\n    78→func (api *NatsAPI) StartSubscriptions() error {\n    79→\tclient := nats.GetClient()\n    80→\tif client == nil {\n    81→\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n    82→\t\treturn nil\n    83→\t}\n    84→\n    85→\tif config.Keys.APISubjects != nil {\n    86→\n    87→\t\ts := config.Keys.APISubjects\n    88→\n    89→\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n    90→\t\t\treturn err\n    91→\t\t}\n    92→\n    93→\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n    94→\t\t\treturn err\n    95→\t\t}\n    96→\n    97→\t\tcclog.Info(\"NATS API subscriptions started\")\n    98→\t}\n    99→\treturn nil\n   100→}\n   101→\n   102→// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n   103→// Validates that required tags and fields are present before processing.\n   104→func (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n   105→\tfunction, ok := msg.GetTag(\"function\")\n   106→\tif !ok {\n   107→\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n   108→\t\treturn\n   109→\t}\n   110→\n   111→\tswitch function {\n   112→\tcase \"start_job\":\n   113→\t\tv, ok := msg.GetEventValue()\n   114→\t\tif !ok {\n   115→\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n   116→\t\t\treturn\n   117→\t\t}\n   118→\t\tapi.handleStartJob(v)\n   119→\n   120→\tcase \"stop_job\":\n   121→\t\tv, ok := msg.GetEventValue()\n   122→\t\tif !ok {\n   123→\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n   124→\t\t\treturn\n   125→\t\t}\n   126→\t\tapi.handleStopJob(v)\n   127→\n   128→\tdefault:\n   129→\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n   130→\t}\n   131→}\n   132→\n   133→// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n   134→// The message must be in line protocol format with measurement=\"job\" and include:\n   135→//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n   136→//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n   137→//\n   138→// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\n   139→func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n   140→\tif len(data) == 0 {\n   141→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n   142→\t\treturn\n   143→\t}\n   144→\n   145→\td := influx.NewDecoderWithBytes(data)\n   146→\n   147→\tfor d.Next() {\n   148→\t\tm, err := receivers.DecodeInfluxMessage(d)\n   149→\t\tif err != nil {\n   150→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n   151→\t\t\treturn\n   152→\t\t}\n   153→\n   154→\t\tif !m.IsEvent() {\n   155→\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n   156→\t\t\tcontinue\n   157→\t\t}\n   158→\n   159→\t\tif m.Name() == \"job\" {\n   160→\t\t\tapi.processJobEvent(m)\n   161→\t\t} else {\n   162→\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n   163→\t\t}\n   164→\t}\n   165→}\n   166→\n   167→// handleStartJob processes job start messages received via NATS.\n   168→// The payload parameter contains JSON following the schema.Job structure.\n   169→// Jobs are validated, checked for duplicates, and inserted into the database.\n   170→func (api *NatsAPI) handleStartJob(payload string) {\n   171→\tif payload == \"\" {\n   172→\t\tcclog.Error(\"NATS start job: payload is empty\")\n   173→\t\treturn\n   174→\t}\n   175→\treq := schema.Job{\n   176→\t\tShared:           \"none\",\n   177→\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n   178→\t}\n   179→\n   180→\tdec := json.NewDecoder(strings.NewReader(payload))\n   181→\tdec.DisallowUnknownFields()\n   182→\tif err := dec.Decode(&req); err != nil {\n   183→\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n   184→\t\treturn\n   185→\t}\n   186→\n   187→\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n   188→\treq.State = schema.JobStateRunning\n   189→\n   190→\tif err := importer.SanityChecks(&req); err != nil {\n   191→\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n   192→\t\treturn\n   193→\t}\n   194→\n   195→\tvar unlockOnce sync.Once\n   196→\tapi.RepositoryMutex.Lock()\n   197→\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n   198→\n   199→\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n   200→\tif err != nil && err != sql.ErrNoRows {\n   201→\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n   202→\t\treturn\n   203→\t}\n   204→\tif err == nil {\n   205→\t\tfor _, job := range jobs {\n   206→\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n   207→\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n   208→\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n   209→\t\t\t\treturn\n   210→\t\t\t}\n   211→\t\t}\n   212→\t}\n   213→\n   214→\t// When tags are present, insert directly into the job table so that the\n   215→\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n   216→\tvar id int64\n   217→\tif len(req.Tags) > 0 {\n   218→\t\tid, err = api.JobRepository.StartDirect(&req)\n   219→\t} else {\n   220→\t\tid, err = api.JobRepository.Start(&req)\n   221→\t}\n   222→\tif err != nil {\n   223→\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n   224→\t\treturn\n   225→\t}\n   226→\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n   227→\n   228→\tfor _, tag := range req.Tags {\n   229→\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n   230→\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n   231→\t\t\treturn\n   232→\t\t}\n   233→\t}\n   234→\n   235→\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n   236→\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n   237→}\n   238→\n   239→// handleStopJob processes job stop messages received via NATS.\n   240→// The payload parameter contains JSON following the StopJobAPIRequest structure.\n   241→// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\n   242→func (api *NatsAPI) handleStopJob(payload string) {\n   243→\tif payload == \"\" {\n   244→\t\tcclog.Error(\"NATS stop job: payload is empty\")\n   245→\t\treturn\n   246→\t}\n   247→\tvar req StopJobAPIRequest\n   248→\n   249→\tdec := json.NewDecoder(strings.NewReader(payload))\n   250→\tdec.DisallowUnknownFields()\n   251→\tif err := dec.Decode(&req); err != nil {\n   252→\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n   253→\t\treturn\n   254→\t}\n   255→\n   256→\tif req.JobID == nil {\n   257→\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n   258→\t\treturn\n   259→\t}\n   260→\n   261→\tisCached := false\n   262→\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n   263→\tif err != nil {\n   264→\t\t// Not in cache, try main job table\n   265→\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n   266→\t\tif err != nil {\n   267→\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n   268→\t\t\treturn\n   269→\t\t}\n   270→\t} else {\n   271→\t\tisCached = true\n   272→\t}\n   273→\n   274→\tif job.State != schema.JobStateRunning {\n   275→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n   276→\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n   277→\t\treturn\n   278→\t}\n   279→\n   280→\tif job.StartTime > req.StopTime {\n   281→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n   282→\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n   283→\t\treturn\n   284→\t}\n   285→\n   286→\tif req.State != \"\" && !req.State.Valid() {\n   287→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n   288→\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n   289→\t\treturn\n   290→\t} else if req.State == \"\" {\n   291→\t\treq.State = schema.JobStateCompleted\n   292→\t}\n   293→\n   294→\tjob.Duration = int32(req.StopTime - job.StartTime)\n   295→\tjob.State = req.State\n   296→\tapi.JobRepository.Mutex.Lock()\n   297→\tdefer api.JobRepository.Mutex.Unlock()\n   298→\n   299→\t// If the job is still in job_cache, transfer it to the job table first\n   300→\tif isCached {\n   301→\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n   302→\t\tif err != nil {\n   303→\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n   304→\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n   305→\t\t\treturn\n   306→\t\t}\n   307→\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n   308→\t\tjob.ID = &newID\n   309→\t}\n   310→\n   311→\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n   312→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n   313→\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n   314→\t\treturn\n   315→\t}\n   316→\n   317→\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n   318→\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n   319→\n   320→\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n   321→\t\treturn\n   322→\t}\n   323→\n   324→\tarchiver.TriggerArchiving(job)\n   325→}\n   326→\n   327→// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n   328→// Updates node states in the repository for all nodes in the payload.\n   329→func (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n   330→\tv, ok := msg.GetEventValue()\n   331→\tif !ok {\n   332→\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n   333→\t\treturn\n   334→\t}\n   335→\n   336→\tvar req UpdateNodeStatesRequest\n   337→\n   338→\tdec := json.NewDecoder(strings.NewReader(v))\n   339→\tdec.DisallowUnknownFields()\n   340→\tif err := dec.Decode(&req); err != nil {\n   341→\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n   342→\t\treturn\n   343→\t}\n   344→\n   345→\trepo := repository.GetNodeRepository()\n   346→\trequestReceived := time.Now().Unix()\n   347→\n   348→\tfor _, node := range req.Nodes {\n   349→\t\tstate := determineState(node.States)\n   350→\t\tnodeState := schema.NodeStateDB{\n   351→\t\t\tTimeStamp:       requestReceived,\n   352→\t\t\tNodeState:       state,\n   353→\t\t\tCpusAllocated:   node.CpusAllocated,\n   354→\t\t\tMemoryAllocated: node.MemoryAllocated,\n   355→\t\t\tGpusAllocated:   node.GpusAllocated,\n   356→\t\t\tHealthState:     schema.MonitoringStateFull,\n   357→\t\t\tJobsRunning:     node.JobsRunning,\n   358→\t\t}\n   359→\n   360→\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n   361→\t\t\tcclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",\n   362→\t\t\t\tnode.Hostname, req.Cluster, err)\n   363→\t\t}\n   364→\t}\n   365→\n   366→\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n   367→}\n   368→\n   369→// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n   370→// The message must be in line protocol format with measurement=\"nodestate\" and include:\n   371→//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n   372→//\n   373→// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\n   374→func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n   375→\tif len(data) == 0 {\n   376→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n   377→\t\treturn\n   378→\t}\n   379→\n   380→\td := influx.NewDecoderWithBytes(data)\n   381→\n   382→\tfor d.Next() {\n   383→\t\tm, err := receivers.DecodeInfluxMessage(d)\n   384→\t\tif err != nil {\n   385→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n   386→\t\t\treturn\n   387→\t\t}\n   388→\n   389→\t\tif !m.IsEvent() {\n   390→\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n   391→\t\t\tcontinue\n   392→\t\t}\n   393→\n   394→\t\tif m.Name() == \"nodestate\" {\n   395→\t\t\tapi.processNodestateEvent(m)\n   396→\t\t} else {\n   397→\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n   398→\t\t}\n   399→\t}\n   400→}\n   401→"}]},"uuid":"186dcc55-1ec7-4336-abee-c9a5e56c2a8f","timestamp":"2026-03-16T10:12:41.400Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","numLines":401,"startLine":1,"totalLines":401}},"sourceToolAssistantUUID":"c8d3f293-f0a4-4c69-a19e-1f7a97d640ab","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"186dcc55-1ec7-4336-abee-c9a5e56c2a8f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014TL3pbSWBVr2pivAjUxp1C","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"2778e110-6ad8-4f0f-901e-a221ad5b2824","timestamp":"2026-03-16T10:12:41.836Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"2778e110-6ad8-4f0f-901e-a221ad5b2824","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014TL3pbSWBVr2pivAjUxp1C","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"fmt\"\n    10→\t\"maps\"\n    11→\t\"net/http\"\n    12→\t\"strings\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→)\n    22→\n    23→type UpdateNodeStatesRequest struct {\n    24→\tNodes   []schema.NodePayload `json:\"nodes\"`\n    25→\tCluster string               `json:\"cluster\" example:\"fritz\"`\n    26→}\n    27→\n    28→// metricListToNames converts a map of metric configurations to a list of metric names\n    29→func metricListToNames(metricList map[string]*schema.Metric) []string {\n    30→\tnames := make([]string, 0, len(metricList))\n    31→\tfor name := range metricList {\n    32→\t\tnames = append(names, name)\n    33→\t}\n    34→\treturn names\n    35→}\n    36→\n    37→// this routine assumes that only one of them exists per node\n    38→func determineState(states []string) schema.SchedulerState {\n    39→\tfor _, state := range states {\n    40→\t\tswitch strings.ToLower(state) {\n    41→\t\tcase \"allocated\":\n    42→\t\t\treturn schema.NodeStateAllocated\n    43→\t\tcase \"reserved\":\n    44→\t\t\treturn schema.NodeStateReserved\n    45→\t\tcase \"idle\":\n    46→\t\t\treturn schema.NodeStateIdle\n    47→\t\tcase \"down\":\n    48→\t\t\treturn schema.NodeStateDown\n    49→\t\tcase \"mixed\":\n    50→\t\t\treturn schema.NodeStateMixed\n    51→\t\t}\n    52→\t}\n    53→\n    54→\treturn schema.NodeStateUnknown\n    55→}\n    56→\n    57→// updateNodeStates godoc\n    58→// @summary     Deliver updated Slurm node states\n    59→// @tags Nodestates\n    60→// @description Returns a JSON-encoded list of users.\n    61→// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n    62→// @produce     json\n    63→// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n    64→// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n    65→// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n    66→// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n    67→// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n    68→// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n    69→// @security    ApiKeyAuth\n    70→// @router      /api/nodestats/ [post]\n    71→func (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n    72→\t// Parse request body\n    73→\treq := UpdateNodeStatesRequest{}\n    74→\tif err := decode(r.Body, &req); err != nil {\n    75→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n    76→\t\t\thttp.StatusBadRequest, rw)\n    77→\t\treturn\n    78→\t}\n    79→\trequestReceived := time.Now().Unix()\n    80→\trepo := repository.GetNodeRepository()\n    81→\n    82→\tm := make(map[string][]string)\n    83→\tmetricNames := make(map[string][]string)\n    84→\thealthResults := make(map[string]metricstore.HealthCheckResult)\n    85→\n    86→\tstartMs := time.Now()\n    87→\n    88→\t// Step 1: Build nodeList and metricList per subcluster\n    89→\tfor _, node := range req.Nodes {\n    90→\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n    91→\t\t\tm[sc] = append(m[sc], node.Hostname)\n    92→\t\t}\n    93→\t}\n    94→\n    95→\tfor sc := range m {\n    96→\t\tif sc != \"\" {\n    97→\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n    98→\t\t\tmetricNames[sc] = metricListToNames(metricList)\n    99→\t\t}\n   100→\t}\n   101→\n   102→\t// Step 2: Determine which metric store to query and perform health check\n   103→\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n   104→\tif err != nil {\n   105→\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n   106→\t} else {\n   107→\t\tfor sc, nl := range m {\n   108→\t\t\tif sc != \"\" {\n   109→\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n   110→\t\t\t\t\tmaps.Copy(healthResults, results)\n   111→\t\t\t\t}\n   112→\t\t\t}\n   113→\t\t}\n   114→\t}\n   115→\n   116→\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n   117→\tstartDB := time.Now()\n   118→\n   119→\tfor _, node := range req.Nodes {\n   120→\t\tstate := determineState(node.States)\n   121→\t\thealthState := schema.MonitoringStateFailed\n   122→\t\tvar healthMetrics string\n   123→\t\tif result, ok := healthResults[node.Hostname]; ok {\n   124→\t\t\thealthState = result.State\n   125→\t\t\thealthMetrics = result.HealthMetrics\n   126→\t\t}\n   127→\t\tnodeState := schema.NodeStateDB{\n   128→\t\t\tTimeStamp:       requestReceived,\n   129→\t\t\tNodeState:       state,\n   130→\t\t\tCpusAllocated:   node.CpusAllocated,\n   131→\t\t\tMemoryAllocated: node.MemoryAllocated,\n   132→\t\t\tGpusAllocated:   node.GpusAllocated,\n   133→\t\t\tHealthState:     healthState,\n   134→\t\t\tHealthMetrics:   healthMetrics,\n   135→\t\t\tJobsRunning:     node.JobsRunning,\n   136→\t\t}\n   137→\n   138→\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n   139→\t\t\tcclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",\n   140→\t\t\t\tnode.Hostname, req.Cluster, err)\n   141→\t\t}\n   142→\t}\n   143→\n   144→\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n   145→}\n   146→"}]},"uuid":"78f555f7-8f16-44fa-b61b-ca0e4f57eefa","timestamp":"2026-03-16T10:12:41.842Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"fmt\"\n\t\"maps\"\n\t\"net/http\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\ntype UpdateNodeStatesRequest struct {\n\tNodes   []schema.NodePayload `json:\"nodes\"`\n\tCluster string               `json:\"cluster\" example:\"fritz\"`\n}\n\n// metricListToNames converts a map of metric configurations to a list of metric names\nfunc metricListToNames(metricList map[string]*schema.Metric) []string {\n\tnames := make([]string, 0, len(metricList))\n\tfor name := range metricList {\n\t\tnames = append(names, name)\n\t}\n\treturn names\n}\n\n// this routine assumes that only one of them exists per node\nfunc determineState(states []string) schema.SchedulerState {\n\tfor _, state := range states {\n\t\tswitch strings.ToLower(state) {\n\t\tcase \"allocated\":\n\t\t\treturn schema.NodeStateAllocated\n\t\tcase \"reserved\":\n\t\t\treturn schema.NodeStateReserved\n\t\tcase \"idle\":\n\t\t\treturn schema.NodeStateIdle\n\t\tcase \"down\":\n\t\t\treturn schema.NodeStateDown\n\t\tcase \"mixed\":\n\t\t\treturn schema.NodeStateMixed\n\t\t}\n\t}\n\n\treturn schema.NodeStateUnknown\n}\n\n// updateNodeStates godoc\n// @summary     Deliver updated Slurm node states\n// @tags Nodestates\n// @description Returns a JSON-encoded list of users.\n// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n// @produce     json\n// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/nodestats/ [post]\nfunc (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n\t// Parse request body\n\treq := UpdateNodeStatesRequest{}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n\t\t\thttp.StatusBadRequest, rw)\n\t\treturn\n\t}\n\trequestReceived := time.Now().Unix()\n\trepo := repository.GetNodeRepository()\n\n\tm := make(map[string][]string)\n\tmetricNames := make(map[string][]string)\n\thealthResults := make(map[string]metricstore.HealthCheckResult)\n\n\tstartMs := time.Now()\n\n\t// Step 1: Build nodeList and metricList per subcluster\n\tfor _, node := range req.Nodes {\n\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n\t\t\tm[sc] = append(m[sc], node.Hostname)\n\t\t}\n\t}\n\n\tfor sc := range m {\n\t\tif sc != \"\" {\n\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n\t\t\tmetricNames[sc] = metricListToNames(metricList)\n\t\t}\n\t}\n\n\t// Step 2: Determine which metric store to query and perform health check\n\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n\tif err != nil {\n\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n\t} else {\n\t\tfor sc, nl := range m {\n\t\t\tif sc != \"\" {\n\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n\t\t\t\t\tmaps.Copy(healthResults, results)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     healthState,\n\t\t\tHealthMetrics:   healthMetrics,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n}\n","numLines":146,"startLine":1,"totalLines":146}},"sourceToolAssistantUUID":"2778e110-6ad8-4f0f-901e-a221ad5b2824","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"ab33adee-9926-4c38-af68-7a0b5d885ff8","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QZn1z7o6wW6qHVFPQ63xir","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package repository\n     6→\n     7→import (\n     8→\t\"context\"\n     9→\t\"database/sql\"\n    10→\t\"encoding/json\"\n    11→\t\"errors\"\n    12→\t\"fmt\"\n    13→\t\"reflect\"\n    14→\t\"strings\"\n    15→\t\"sync\"\n    16→\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→\tsq \"github.com/Masterminds/squirrel\"\n    22→\t\"github.com/jmoiron/sqlx\"\n    23→\t\"golang.org/x/crypto/bcrypt\"\n    24→)\n    25→\n    26→// Authentication and Role System:\n    27→//\n    28→// ClusterCockpit supports multiple authentication sources:\n    29→//   - Local: Username/password stored in database (password hashed with bcrypt)\n    30→//   - LDAP: External LDAP/Active Directory authentication\n    31→//   - JWT: Token-based authentication for API access\n    32→//\n    33→// Role Hierarchy (from highest to lowest privilege):\n    34→//   1. \"admin\" - Full system access, can manage all users and jobs\n    35→//   2. \"support\" - Can view all jobs but limited management capabilities\n    36→//   3. \"manager\" - Can manage specific projects and their users\n    37→//   4. \"api\" - Programmatic access for job submission/management\n    38→//   5. \"user\" - Default role, can only view own jobs\n    39→//\n    40→// Project Association:\n    41→//   - Managers have a list of projects they oversee\n    42→//   - Regular users' project membership is determined by job data\n    43→//   - Managers can view/manage all jobs within their projects\n    44→\n    45→var (\n    46→\tuserRepoOnce     sync.Once\n    47→\tuserRepoInstance *UserRepository\n    48→)\n    49→\n    50→type UserRepository struct {\n    51→\tDB     *sqlx.DB\n    52→\tdriver string\n    53→}\n    54→\n    55→func GetUserRepository() *UserRepository {\n    56→\tuserRepoOnce.Do(func() {\n    57→\t\tdb := GetConnection()\n    58→\n    59→\t\tuserRepoInstance = &UserRepository{\n    60→\t\t\tDB:     db.DB,\n    61→\t\t\tdriver: db.Driver,\n    62→\t\t}\n    63→\t})\n    64→\treturn userRepoInstance\n    65→}\n    66→\n    67→// GetUser retrieves a user by username from the database.\n    68→// Returns the complete user record including hashed password, roles, and projects.\n    69→// Password field contains bcrypt hash for local auth users, empty for LDAP users.\n    70→func (r *UserRepository) GetUser(username string) (*schema.User, error) {\n    71→\tuser := &schema.User{Username: username}\n    72→\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n    73→\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n    74→\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n    75→\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n    76→\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n    77→\t\treturn nil, err\n    78→\t}\n    79→\n    80→\tuser.Password = hashedPassword.String\n    81→\tuser.Name = name.String\n    82→\tuser.Email = email.String\n    83→\tif rawRoles.Valid {\n    84→\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n    85→\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n    86→\t\t\treturn nil, err\n    87→\t\t}\n    88→\t}\n    89→\tif rawProjects.Valid {\n    90→\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n    91→\t\t\treturn nil, err\n    92→\t\t}\n    93→\t}\n    94→\n    95→\treturn user, nil\n    96→}\n    97→\n    98→func (r *UserRepository) GetLdapUsernames() ([]string, error) {\n    99→\tvar users []string\n   100→\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n   101→\tif err != nil {\n   102→\t\tcclog.Warn(\"Error while querying usernames\")\n   103→\t\treturn nil, err\n   104→\t}\n   105→\tdefer rows.Close()\n   106→\n   107→\tfor rows.Next() {\n   108→\t\tvar username string\n   109→\t\tif err := rows.Scan(&username); err != nil {\n   110→\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n   111→\t\t\treturn nil, err\n   112→\t\t}\n   113→\n   114→\t\tusers = append(users, username)\n   115→\t}\n   116→\n   117→\treturn users, nil\n   118→}\n   119→\n   120→// AddUser creates a new user in the database.\n   121→// Passwords are automatically hashed with bcrypt before storage.\n   122→// Auth source determines authentication method (local, LDAP, etc.).\n   123→//\n   124→// Required fields: Username, Roles\n   125→// Optional fields: Name, Email, Password, Projects, AuthSource\n   126→func (r *UserRepository) AddUser(user *schema.User) error {\n   127→\trolesJson, _ := json.Marshal(user.Roles)\n   128→\tprojectsJson, _ := json.Marshal(user.Projects)\n   129→\n   130→\tcols := []string{\"username\", \"roles\", \"projects\"}\n   131→\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n   132→\n   133→\tif user.Name != \"\" {\n   134→\t\tcols = append(cols, \"name\")\n   135→\t\tvals = append(vals, user.Name)\n   136→\t}\n   137→\tif user.Email != \"\" {\n   138→\t\tcols = append(cols, \"email\")\n   139→\t\tvals = append(vals, user.Email)\n   140→\t}\n   141→\tif user.Password != \"\" {\n   142→\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n   143→\t\tif err != nil {\n   144→\t\t\tcclog.Error(\"Error while encrypting new user password\")\n   145→\t\t\treturn err\n   146→\t\t}\n   147→\t\tcols = append(cols, \"password\")\n   148→\t\tvals = append(vals, string(password))\n   149→\t}\n   150→\tif user.AuthSource != -1 {\n   151→\t\tcols = append(cols, \"ldap\")\n   152→\t\tvals = append(vals, int(user.AuthSource))\n   153→\t}\n   154→\n   155→\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n   156→\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n   157→\t\treturn err\n   158→\t}\n   159→\n   160→\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n   161→\n   162→\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n   163→\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n   164→\tif err != nil {\n   165→\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n   166→\t} else if defaultMetricsCfg != nil {\n   167→\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n   168→\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n   169→\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n   170→\t\t\tif err != nil {\n   171→\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n   172→\t\t\t\tcontinue\n   173→\t\t\t}\n   174→\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n   175→\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n   176→\t\t\tif _, err := sq.Insert(\"configuration\").\n   177→\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n   178→\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n   179→\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n   180→\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n   181→\t\t\t} else {\n   182→\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n   183→\t\t\t}\n   184→\t\t}\n   185→\t}\n   186→\t// END DEPRECATION\n   187→\n   188→\treturn nil\n   189→}\n   190→\n   191→func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n   192→\t// user contains updated info -> Apply to dbUser\n   193→\t// --- Simple Name Update ---\n   194→\tif dbUser.Name != user.Name {\n   195→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n   196→\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n   197→\t\t\treturn err\n   198→\t\t}\n   199→\t}\n   200→\n   201→\t// --- Def Helpers ---\n   202→\t// Helper to update roles\n   203→\tupdateRoles := func(roles []string) error {\n   204→\t\trolesJSON, _ := json.Marshal(roles)\n   205→\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n   206→\t\treturn err\n   207→\t}\n   208→\n   209→\t// Helper to update projects\n   210→\tupdateProjects := func(projects []string) error {\n   211→\t\tprojectsJSON, _ := json.Marshal(projects)\n   212→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n   213→\t\treturn err\n   214→\t}\n   215→\n   216→\t// Helper to clear projects\n   217→\tclearProjects := func() error {\n   218→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n   219→\t\treturn err\n   220→\t}\n   221→\n   222→\t// --- Manager Role Handling ---\n   223→\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n   224→\t\t// Existing Manager: update projects\n   225→\t\tif err := updateProjects(user.Projects); err != nil {\n   226→\t\t\treturn err\n   227→\t\t}\n   228→\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n   229→\t\t// New Manager: update roles and projects\n   230→\t\tif err := updateRoles(user.Roles); err != nil {\n   231→\t\t\treturn err\n   232→\t\t}\n   233→\t\tif err := updateProjects(user.Projects); err != nil {\n   234→\t\t\treturn err\n   235→\t\t}\n   236→\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n   237→\t\t// Remove Manager: update roles and clear projects\n   238→\t\tif err := updateRoles(user.Roles); err != nil {\n   239→\t\t\treturn err\n   240→\t\t}\n   241→\t\tif err := clearProjects(); err != nil {\n   242→\t\t\treturn err\n   243→\t\t}\n   244→\t}\n   245→\n   246→\t// --- Support Role Handling ---\n   247→\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n   248→\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n   249→\t\t// New Support: update roles\n   250→\t\tif err := updateRoles(user.Roles); err != nil {\n   251→\t\t\treturn err\n   252→\t\t}\n   253→\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n   254→\t\t// Remove Support: update roles\n   255→\t\tif err := updateRoles(user.Roles); err != nil {\n   256→\t\t\treturn err\n   257→\t\t}\n   258→\t}\n   259→\n   260→\treturn nil\n   261→}\n   262→\n   263→func (r *UserRepository) DelUser(username string) error {\n   264→\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n   265→\tif err != nil {\n   266→\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n   267→\t\treturn err\n   268→\t}\n   269→\tcclog.Infof(\"deleted user '%s' from DB\", username)\n   270→\treturn nil\n   271→}\n   272→\n   273→func (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n   274→\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n   275→\tif specialsOnly {\n   276→\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n   277→\t}\n   278→\n   279→\trows, err := q.RunWith(r.DB).Query()\n   280→\tif err != nil {\n   281→\t\tcclog.Warn(\"Error while querying user list\")\n   282→\t\treturn nil, err\n   283→\t}\n   284→\n   285→\tusers := make([]*schema.User, 0)\n   286→\tdefer rows.Close()\n   287→\tfor rows.Next() {\n   288→\t\trawroles := \"\"\n   289→\t\trawprojects := \"\"\n   290→\t\tuser := &schema.User{}\n   291→\t\tvar name, email sql.NullString\n   292→\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n   293→\t\t\tcclog.Warn(\"Error while scanning user list\")\n   294→\t\t\treturn nil, err\n   295→\t\t}\n   296→\n   297→\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n   298→\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n   299→\t\t\treturn nil, err\n   300→\t\t}\n   301→\n   302→\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n   303→\t\t\treturn nil, err\n   304→\t\t}\n   305→\n   306→\t\tuser.Name = name.String\n   307→\t\tuser.Email = email.String\n   308→\t\tusers = append(users, user)\n   309→\t}\n   310→\treturn users, nil\n   311→}\n   312→\n   313→// AddRole adds a role to a user's role list.\n   314→// Role string is automatically lowercased.\n   315→// Valid roles: admin, support, manager, api, user\n   316→//\n   317→// Returns error if:\n   318→//   - User doesn't exist\n   319→//   - Role is invalid\n   320→//   - User already has the role\n   321→func (r *UserRepository) AddRole(\n   322→\tctx context.Context,\n   323→\tusername string,\n   324→\tqueryrole string,\n   325→) error {\n   326→\tnewRole := strings.ToLower(queryrole)\n   327→\tuser, err := r.GetUser(username)\n   328→\tif err != nil {\n   329→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n   330→\t\treturn err\n   331→\t}\n   332→\n   333→\texists, valid := user.HasValidRole(newRole)\n   334→\n   335→\tif !valid {\n   336→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n   337→\t}\n   338→\tif exists {\n   339→\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n   340→\t}\n   341→\n   342→\troles, _ := json.Marshal(append(user.Roles, newRole))\n   343→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n   344→\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n   345→\t\treturn err\n   346→\t}\n   347→\treturn nil\n   348→}\n   349→\n   350→// RemoveRole removes a role from a user's role list.\n   351→//\n   352→// Special rules:\n   353→//   - Cannot remove \"manager\" role while user has assigned projects\n   354→//   - Must remove all projects first before removing manager role\n   355→func (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n   356→\toldRole := strings.ToLower(queryrole)\n   357→\tuser, err := r.GetUser(username)\n   358→\tif err != nil {\n   359→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n   360→\t\treturn err\n   361→\t}\n   362→\n   363→\texists, valid := user.HasValidRole(oldRole)\n   364→\n   365→\tif !valid {\n   366→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n   367→\t}\n   368→\tif !exists {\n   369→\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n   370→\t}\n   371→\n   372→\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n   373→\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n   374→\t}\n   375→\n   376→\tvar newroles []string\n   377→\tfor _, r := range user.Roles {\n   378→\t\tif r != oldRole {\n   379→\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n   380→\t\t}\n   381→\t}\n   382→\n   383→\tmroles, _ := json.Marshal(newroles)\n   384→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n   385→\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n   386→\t\treturn err\n   387→\t}\n   388→\treturn nil\n   389→}\n   390→\n   391→// AddProject assigns a project to a manager user.\n   392→// Only users with the \"manager\" role can have assigned projects.\n   393→//\n   394→// Returns error if:\n   395→//   - User doesn't have manager role\n   396→//   - User already manages the project\n   397→func (r *UserRepository) AddProject(\n   398→\tctx context.Context,\n   399→\tusername string,\n   400→\tproject string,\n   401→) error {\n   402→\tuser, err := r.GetUser(username)\n   403→\tif err != nil {\n   404→\t\treturn err\n   405→\t}\n   406→\n   407→\tif !user.HasRole(schema.RoleManager) {\n   408→\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n   409→\t}\n   410→\n   411→\tif user.HasProject(project) {\n   412→\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n   413→\t}\n   414→\n   415→\tprojects, _ := json.Marshal(append(user.Projects, project))\n   416→\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n   417→\t\treturn err\n   418→\t}\n   419→\n   420→\treturn nil\n   421→}\n   422→\n   423→func (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n   424→\tuser, err := r.GetUser(username)\n   425→\tif err != nil {\n   426→\t\treturn err\n   427→\t}\n   428→\n   429→\tif !user.HasRole(schema.RoleManager) {\n   430→\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n   431→\t}\n   432→\n   433→\tif !user.HasProject(project) {\n   434→\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n   435→\t}\n   436→\n   437→\tvar exists bool\n   438→\tvar newprojects []string\n   439→\tfor _, p := range user.Projects {\n   440→\t\tif p != project {\n   441→\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n   442→\t\t} else {\n   443→\t\t\texists = true\n   444→\t\t}\n   445→\t}\n   446→\n   447→\tif exists {\n   448→\t\tvar result any\n   449→\t\tif len(newprojects) == 0 {\n   450→\t\t\tresult = \"[]\"\n   451→\t\t} else {\n   452→\t\t\tresult, _ = json.Marshal(newprojects)\n   453→\t\t}\n   454→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n   455→\t\t\treturn err\n   456→\t\t}\n   457→\t\treturn nil\n   458→\t} else {\n   459→\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n   460→\t}\n   461→}\n   462→\n   463→type ContextKey string\n   464→\n   465→const ContextUserKey ContextKey = \"user\"\n   466→\n   467→func GetUserFromContext(ctx context.Context) *schema.User {\n   468→\tx := ctx.Value(ContextUserKey)\n   469→\tif x == nil {\n   470→\t\tcclog.Warnf(\"no user retrieved from context\")\n   471→\t\treturn nil\n   472→\t}\n   473→\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n   474→\treturn x.(*schema.User)\n   475→}\n   476→\n   477→func (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n   478→\tme := GetUserFromContext(ctx)\n   479→\tif me != nil && me.Username != username &&\n   480→\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n   481→\t\treturn nil, errors.New(\"forbidden\")\n   482→\t}\n   483→\n   484→\tuser := &model.User{Username: username}\n   485→\tvar name, email sql.NullString\n   486→\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n   487→\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n   488→\t\tif err == sql.ErrNoRows {\n   489→\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n   490→\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n   491→\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n   492→\t\t\treturn nil, nil\n   493→\t\t}\n   494→\n   495→\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n   496→\t\treturn nil, err\n   497→\t}\n   498→\n   499→\tuser.Name = name.String\n   500→\tuser.Email = email.String\n   501→\treturn user, nil\n   502→}\n   503→"}]},"uuid":"26e7307a-8d39-4350-a911-4c4d39002d8f","timestamp":"2026-03-16T10:12:42.250Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"reflect\"\n\t\"strings\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"golang.org/x/crypto/bcrypt\"\n)\n\n// Authentication and Role System:\n//\n// ClusterCockpit supports multiple authentication sources:\n//   - Local: Username/password stored in database (password hashed with bcrypt)\n//   - LDAP: External LDAP/Active Directory authentication\n//   - JWT: Token-based authentication for API access\n//\n// Role Hierarchy (from highest to lowest privilege):\n//   1. \"admin\" - Full system access, can manage all users and jobs\n//   2. \"support\" - Can view all jobs but limited management capabilities\n//   3. \"manager\" - Can manage specific projects and their users\n//   4. \"api\" - Programmatic access for job submission/management\n//   5. \"user\" - Default role, can only view own jobs\n//\n// Project Association:\n//   - Managers have a list of projects they oversee\n//   - Regular users' project membership is determined by job data\n//   - Managers can view/manage all jobs within their projects\n\nvar (\n\tuserRepoOnce     sync.Once\n\tuserRepoInstance *UserRepository\n)\n\ntype UserRepository struct {\n\tDB     *sqlx.DB\n\tdriver string\n}\n\nfunc GetUserRepository() *UserRepository {\n\tuserRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tuserRepoInstance = &UserRepository{\n\t\t\tDB:     db.DB,\n\t\t\tdriver: db.Driver,\n\t\t}\n\t})\n\treturn userRepoInstance\n}\n\n// GetUser retrieves a user by username from the database.\n// Returns the complete user record including hashed password, roles, and projects.\n// Password field contains bcrypt hash for local auth users, empty for LDAP users.\nfunc (r *UserRepository) GetUser(username string) (*schema.User, error) {\n\tuser := &schema.User{Username: username}\n\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Password = hashedPassword.String\n\tuser.Name = name.String\n\tuser.Email = email.String\n\tif rawRoles.Valid {\n\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\tif rawProjects.Valid {\n\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn user, nil\n}\n\nfunc (r *UserRepository) GetLdapUsernames() ([]string, error) {\n\tvar users []string\n\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying usernames\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar username string\n\t\tif err := rows.Scan(&username); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tusers = append(users, username)\n\t}\n\n\treturn users, nil\n}\n\n// AddUser creates a new user in the database.\n// Passwords are automatically hashed with bcrypt before storage.\n// Auth source determines authentication method (local, LDAP, etc.).\n//\n// Required fields: Username, Roles\n// Optional fields: Name, Email, Password, Projects, AuthSource\nfunc (r *UserRepository) AddUser(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := []string{\"username\", \"roles\", \"projects\"}\n\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n\n\tif user.Name != \"\" {\n\t\tcols = append(cols, \"name\")\n\t\tvals = append(vals, user.Name)\n\t}\n\tif user.Email != \"\" {\n\t\tcols = append(cols, \"email\")\n\t\tvals = append(vals, user.Email)\n\t}\n\tif user.Password != \"\" {\n\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"Error while encrypting new user password\")\n\t\t\treturn err\n\t\t}\n\t\tcols = append(cols, \"password\")\n\t\tvals = append(vals, string(password))\n\t}\n\tif user.AuthSource != -1 {\n\t\tcols = append(cols, \"ldap\")\n\t\tvals = append(vals, int(user.AuthSource))\n\t}\n\n\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n\t\treturn err\n\t}\n\n\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n\n\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n\t} else if defaultMetricsCfg != nil {\n\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n\t\t\tif _, err := sq.Insert(\"configuration\").\n\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n\t\t\t} else {\n\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n\t\t\t}\n\t\t}\n\t}\n\t// END DEPRECATION\n\n\treturn nil\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n\t// user contains updated info -> Apply to dbUser\n\t// --- Simple Name Update ---\n\tif dbUser.Name != user.Name {\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Def Helpers ---\n\t// Helper to update roles\n\tupdateRoles := func(roles []string) error {\n\t\trolesJSON, _ := json.Marshal(roles)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to update projects\n\tupdateProjects := func(projects []string) error {\n\t\tprojectsJSON, _ := json.Marshal(projects)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to clear projects\n\tclearProjects := func() error {\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// --- Manager Role Handling ---\n\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n\t\t// Existing Manager: update projects\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Manager: update roles and projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n\t\t// Remove Manager: update roles and clear projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := clearProjects(); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Support Role Handling ---\n\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t// Remove Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) DelUser(username string) error {\n\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted user '%s' from DB\", username)\n\treturn nil\n}\n\nfunc (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n\tif specialsOnly {\n\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n\t}\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying user list\")\n\t\treturn nil, err\n\t}\n\n\tusers := make([]*schema.User, 0)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\trawroles := \"\"\n\t\trawprojects := \"\"\n\t\tuser := &schema.User{}\n\t\tvar name, email sql.NullString\n\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning user list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tuser.Name = name.String\n\t\tuser.Email = email.String\n\t\tusers = append(users, user)\n\t}\n\treturn users, nil\n}\n\n// AddRole adds a role to a user's role list.\n// Role string is automatically lowercased.\n// Valid roles: admin, support, manager, api, user\n//\n// Returns error if:\n//   - User doesn't exist\n//   - Role is invalid\n//   - User already has the role\nfunc (r *UserRepository) AddRole(\n\tctx context.Context,\n\tusername string,\n\tqueryrole string,\n) error {\n\tnewRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(newRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n\t}\n\tif exists {\n\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n\t}\n\n\troles, _ := json.Marshal(append(user.Roles, newRole))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// RemoveRole removes a role from a user's role list.\n//\n// Special rules:\n//   - Cannot remove \"manager\" role while user has assigned projects\n//   - Must remove all projects first before removing manager role\nfunc (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n\toldRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(oldRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n\t}\n\tif !exists {\n\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n\t}\n\n\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n\t}\n\n\tvar newroles []string\n\tfor _, r := range user.Roles {\n\t\tif r != oldRole {\n\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n\t\t}\n\t}\n\n\tmroles, _ := json.Marshal(newroles)\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// AddProject assigns a project to a manager user.\n// Only users with the \"manager\" role can have assigned projects.\n//\n// Returns error if:\n//   - User doesn't have manager role\n//   - User already manages the project\nfunc (r *UserRepository) AddProject(\n\tctx context.Context,\n\tusername string,\n\tproject string,\n) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n\t}\n\n\tif user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n\t}\n\n\tprojects, _ := json.Marshal(append(user.Projects, project))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n\t}\n\n\tif !user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n\t}\n\n\tvar exists bool\n\tvar newprojects []string\n\tfor _, p := range user.Projects {\n\t\tif p != project {\n\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n\t\t} else {\n\t\t\texists = true\n\t\t}\n\t}\n\n\tif exists {\n\t\tvar result any\n\t\tif len(newprojects) == 0 {\n\t\t\tresult = \"[]\"\n\t\t} else {\n\t\t\tresult, _ = json.Marshal(newprojects)\n\t\t}\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\t\treturn err\n\t\t}\n\t\treturn nil\n\t} else {\n\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n\t}\n}\n\ntype ContextKey string\n\nconst ContextUserKey ContextKey = \"user\"\n\nfunc GetUserFromContext(ctx context.Context) *schema.User {\n\tx := ctx.Value(ContextUserKey)\n\tif x == nil {\n\t\tcclog.Warnf(\"no user retrieved from context\")\n\t\treturn nil\n\t}\n\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n\treturn x.(*schema.User)\n}\n\nfunc (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n\tme := GetUserFromContext(ctx)\n\tif me != nil && me.Username != username &&\n\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"forbidden\")\n\t}\n\n\tuser := &model.User{Username: username}\n\tvar name, email sql.NullString\n\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n\t\t\treturn nil, nil\n\t\t}\n\n\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Name = name.String\n\tuser.Email = email.String\n\treturn user, nil\n}\n","numLines":503,"startLine":1,"totalLines":503}},"sourceToolAssistantUUID":"ab33adee-9926-4c38-af68-7a0b5d885ff8","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"794d5b22-e6b4-461a-8b60-f67f3e47e371","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ScKNjBXsx7mQEXVVigVhmt","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package auth\n     7→\n     8→import (\n     9→\t\"fmt\"\n    10→\t\"net\"\n    11→\t\"net/http\"\n    12→\t\"os\"\n    13→\t\"strings\"\n    14→\t\"time\"\n    15→\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    17→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    18→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    19→\t\"github.com/go-ldap/ldap/v3\"\n    20→)\n    21→\n    22→type LdapConfig struct {\n    23→\tURL             string `json:\"url\"`\n    24→\tUserBase        string `json:\"user-base\"`\n    25→\tSearchDN        string `json:\"search-dn\"`\n    26→\tUserBind        string `json:\"user-bind\"`\n    27→\tUserFilter      string `json:\"user-filter\"`\n    28→\tUserAttr        string `json:\"username-attr\"`\n    29→\tUIDAttr         string `json:\"uid-attr\"`\n    30→\tSyncInterval    string `json:\"sync-interval\"` // Parsed using time.ParseDuration.\n    31→\tSyncDelOldUsers bool   `json:\"sync-del-old-users\"`\n    32→\n    33→\t// Should a non-existent user be added to the DB if user exists in ldap directory\n    34→\tSyncUserOnLogin   bool `json:\"sync-user-on-login\"`\n    35→\tUpdateUserOnLogin bool `json:\"update-user-on-login\"`\n    36→}\n    37→\n    38→type LdapAuthenticator struct {\n    39→\tsyncPassword string\n    40→\tUserAttr     string\n    41→\tUIDAttr      string\n    42→}\n    43→\n    44→var _ Authenticator = (*LdapAuthenticator)(nil)\n    45→\n    46→func (la *LdapAuthenticator) Init() error {\n    47→\tla.syncPassword = os.Getenv(\"LDAP_ADMIN_PASSWORD\")\n    48→\tif la.syncPassword == \"\" {\n    49→\t\tcclog.Warn(\"environment variable 'LDAP_ADMIN_PASSWORD' not set (ldap sync will not work)\")\n    50→\t}\n    51→\n    52→\tif Keys.LdapConfig.UserAttr != \"\" {\n    53→\t\tla.UserAttr = Keys.LdapConfig.UserAttr\n    54→\t} else {\n    55→\t\tla.UserAttr = \"gecos\"\n    56→\t}\n    57→\n    58→\tif Keys.LdapConfig.UIDAttr != \"\" {\n    59→\t\tla.UIDAttr = Keys.LdapConfig.UIDAttr\n    60→\t} else {\n    61→\t\tla.UIDAttr = \"uid\"\n    62→\t}\n    63→\n    64→\treturn nil\n    65→}\n    66→\n    67→func (la *LdapAuthenticator) CanLogin(\n    68→\tuser *schema.User,\n    69→\tusername string,\n    70→\trw http.ResponseWriter,\n    71→\tr *http.Request,\n    72→) (*schema.User, bool) {\n    73→\tlc := Keys.LdapConfig\n    74→\n    75→\tif user != nil {\n    76→\t\tif user.AuthSource == schema.AuthViaLDAP {\n    77→\t\t\treturn user, true\n    78→\t\t}\n    79→\t} else if lc.SyncUserOnLogin {\n    80→\t\tl, err := la.getLdapConnection(true)\n    81→\t\tif err != nil {\n    82→\t\t\tcclog.Error(\"LDAP connection error\")\n    83→\t\t\treturn nil, false\n    84→\t\t}\n    85→\t\tdefer l.Close()\n    86→\n    87→\t\t// Search for the given username\n    88→\t\tsearchRequest := ldap.NewSearchRequest(\n    89→\t\t\tlc.UserBase,\n    90→\t\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n    91→\t\t\tfmt.Sprintf(\"(&%s(%s=%s))\", lc.UserFilter, la.UIDAttr, ldap.EscapeFilter(username)),\n    92→\t\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil)\n    93→\n    94→\t\tsr, err := l.Search(searchRequest)\n    95→\t\tif err != nil {\n    96→\t\t\tcclog.Warn(err)\n    97→\t\t\treturn nil, false\n    98→\t\t}\n    99→\n   100→\t\tif len(sr.Entries) != 1 {\n   101→\t\t\tcclog.Warn(\"LDAP: User does not exist or too many entries returned\")\n   102→\t\t\treturn nil, false\n   103→\t\t}\n   104→\n   105→\t\tentry := sr.Entries[0]\n   106→\t\tuser = &schema.User{\n   107→\t\t\tUsername:   username,\n   108→\t\t\tName:       entry.GetAttributeValue(la.UserAttr),\n   109→\t\t\tRoles:      []string{schema.GetRoleString(schema.RoleUser)},\n   110→\t\t\tProjects:   make([]string, 0),\n   111→\t\t\tAuthType:   schema.AuthSession,\n   112→\t\t\tAuthSource: schema.AuthViaLDAP,\n   113→\t\t}\n   114→\n   115→\t\thandleLdapUser(user)\n   116→\t\treturn user, true\n   117→\t}\n   118→\n   119→\treturn nil, false\n   120→}\n   121→\n   122→func (la *LdapAuthenticator) Login(\n   123→\tuser *schema.User,\n   124→\trw http.ResponseWriter,\n   125→\tr *http.Request,\n   126→) (*schema.User, error) {\n   127→\tl, err := la.getLdapConnection(false)\n   128→\tif err != nil {\n   129→\t\tcclog.Warn(\"Error while getting ldap connection\")\n   130→\t\treturn nil, err\n   131→\t}\n   132→\tdefer l.Close()\n   133→\n   134→\tuserDn := strings.ReplaceAll(Keys.LdapConfig.UserBind, \"{username}\", ldap.EscapeDN(user.Username))\n   135→\tif err := l.Bind(userDn, r.FormValue(\"password\")); err != nil {\n   136→\t\tcclog.Errorf(\"AUTH/LDAP > Authentication for user %s failed: %v\",\n   137→\t\t\tuser.Username, err)\n   138→\t\treturn nil, fmt.Errorf(\"Authentication failed\")\n   139→\t}\n   140→\n   141→\treturn user, nil\n   142→}\n   143→\n   144→func (la *LdapAuthenticator) Sync() error {\n   145→\tconst InDB int = 1\n   146→\tconst InLdap int = 2\n   147→\tconst InBoth int = 3\n   148→\tur := repository.GetUserRepository()\n   149→\tlc := Keys.LdapConfig\n   150→\n   151→\tusers := map[string]int{}\n   152→\tusernames, err := ur.GetLdapUsernames()\n   153→\tif err != nil {\n   154→\t\treturn err\n   155→\t}\n   156→\n   157→\tfor _, username := range usernames {\n   158→\t\tusers[username] = InDB\n   159→\t}\n   160→\n   161→\tl, err := la.getLdapConnection(true)\n   162→\tif err != nil {\n   163→\t\tcclog.Error(\"LDAP connection error\")\n   164→\t\treturn err\n   165→\t}\n   166→\tdefer l.Close()\n   167→\n   168→\tldapResults, err := l.Search(ldap.NewSearchRequest(\n   169→\t\tlc.UserBase,\n   170→\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n   171→\t\tlc.UserFilter,\n   172→\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil))\n   173→\tif err != nil {\n   174→\t\tcclog.Warn(\"LDAP search error\")\n   175→\t\treturn err\n   176→\t}\n   177→\n   178→\tnewnames := map[string]string{}\n   179→\tfor _, entry := range ldapResults.Entries {\n   180→\t\tusername := entry.GetAttributeValue(la.UIDAttr)\n   181→\t\tif username == \"\" {\n   182→\t\t\treturn fmt.Errorf(\"no attribute '%s'\", la.UIDAttr)\n   183→\t\t}\n   184→\n   185→\t\t_, ok := users[username]\n   186→\t\tif !ok {\n   187→\t\t\tusers[username] = InLdap\n   188→\t\t\tnewnames[username] = entry.GetAttributeValue(la.UserAttr)\n   189→\t\t} else {\n   190→\t\t\tusers[username] = InBoth\n   191→\t\t}\n   192→\t}\n   193→\n   194→\tfor username, where := range users {\n   195→\t\tif where == InDB && lc.SyncDelOldUsers {\n   196→\t\t\tif err := ur.DelUser(username); err != nil {\n   197→\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Delete from DB failed: %v\", username, err)\n   198→\t\t\t\treturn err\n   199→\t\t\t}\n   200→\t\t\tcclog.Debugf(\"sync: remove %v (does not show up in LDAP anymore)\", username)\n   201→\t\t} else if where == InLdap {\n   202→\t\t\tname := newnames[username]\n   203→\n   204→\t\t\tuser := &schema.User{\n   205→\t\t\t\tUsername:   username,\n   206→\t\t\t\tName:       name,\n   207→\t\t\t\tRoles:      []string{schema.GetRoleString(schema.RoleUser)},\n   208→\t\t\t\tProjects:   make([]string, 0),\n   209→\t\t\t\tAuthSource: schema.AuthViaLDAP,\n   210→\t\t\t}\n   211→\n   212→\t\t\tcclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)\n   213→\t\t\tif err := ur.AddUser(user); err != nil {\n   214→\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)\n   215→\t\t\t\treturn err\n   216→\t\t\t}\n   217→\t\t}\n   218→\t}\n   219→\n   220→\treturn nil\n   221→}\n   222→\n   223→func (la *LdapAuthenticator) getLdapConnection(admin bool) (*ldap.Conn, error) {\n   224→\tlc := Keys.LdapConfig\n   225→\tconn, err := ldap.DialURL(lc.URL,\n   226→\t\tldap.DialWithDialer(&net.Dialer{Timeout: 10 * time.Second}))\n   227→\tif err != nil {\n   228→\t\tcclog.Warn(\"LDAP URL dial failed\")\n   229→\t\treturn nil, err\n   230→\t}\n   231→\tconn.SetTimeout(30 * time.Second)\n   232→\n   233→\tif admin {\n   234→\t\tif err := conn.Bind(lc.SearchDN, la.syncPassword); err != nil {\n   235→\t\t\tconn.Close()\n   236→\t\t\tcclog.Warn(\"LDAP connection bind failed\")\n   237→\t\t\treturn nil, err\n   238→\t\t}\n   239→\t}\n   240→\n   241→\treturn conn, nil\n   242→}\n   243→"}]},"uuid":"88e19298-997f-4e34-93a8-9b98c3bbbe57","timestamp":"2026-03-16T10:12:42.716Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/auth/ldap.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage auth\n\nimport (\n\t\"fmt\"\n\t\"net\"\n\t\"net/http\"\n\t\"os\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/go-ldap/ldap/v3\"\n)\n\ntype LdapConfig struct {\n\tURL             string `json:\"url\"`\n\tUserBase        string `json:\"user-base\"`\n\tSearchDN        string `json:\"search-dn\"`\n\tUserBind        string `json:\"user-bind\"`\n\tUserFilter      string `json:\"user-filter\"`\n\tUserAttr        string `json:\"username-attr\"`\n\tUIDAttr         string `json:\"uid-attr\"`\n\tSyncInterval    string `json:\"sync-interval\"` // Parsed using time.ParseDuration.\n\tSyncDelOldUsers bool   `json:\"sync-del-old-users\"`\n\n\t// Should a non-existent user be added to the DB if user exists in ldap directory\n\tSyncUserOnLogin   bool `json:\"sync-user-on-login\"`\n\tUpdateUserOnLogin bool `json:\"update-user-on-login\"`\n}\n\ntype LdapAuthenticator struct {\n\tsyncPassword string\n\tUserAttr     string\n\tUIDAttr      string\n}\n\nvar _ Authenticator = (*LdapAuthenticator)(nil)\n\nfunc (la *LdapAuthenticator) Init() error {\n\tla.syncPassword = os.Getenv(\"LDAP_ADMIN_PASSWORD\")\n\tif la.syncPassword == \"\" {\n\t\tcclog.Warn(\"environment variable 'LDAP_ADMIN_PASSWORD' not set (ldap sync will not work)\")\n\t}\n\n\tif Keys.LdapConfig.UserAttr != \"\" {\n\t\tla.UserAttr = Keys.LdapConfig.UserAttr\n\t} else {\n\t\tla.UserAttr = \"gecos\"\n\t}\n\n\tif Keys.LdapConfig.UIDAttr != \"\" {\n\t\tla.UIDAttr = Keys.LdapConfig.UIDAttr\n\t} else {\n\t\tla.UIDAttr = \"uid\"\n\t}\n\n\treturn nil\n}\n\nfunc (la *LdapAuthenticator) CanLogin(\n\tuser *schema.User,\n\tusername string,\n\trw http.ResponseWriter,\n\tr *http.Request,\n) (*schema.User, bool) {\n\tlc := Keys.LdapConfig\n\n\tif user != nil {\n\t\tif user.AuthSource == schema.AuthViaLDAP {\n\t\t\treturn user, true\n\t\t}\n\t} else if lc.SyncUserOnLogin {\n\t\tl, err := la.getLdapConnection(true)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"LDAP connection error\")\n\t\t\treturn nil, false\n\t\t}\n\t\tdefer l.Close()\n\n\t\t// Search for the given username\n\t\tsearchRequest := ldap.NewSearchRequest(\n\t\t\tlc.UserBase,\n\t\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n\t\t\tfmt.Sprintf(\"(&%s(%s=%s))\", lc.UserFilter, la.UIDAttr, ldap.EscapeFilter(username)),\n\t\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil)\n\n\t\tsr, err := l.Search(searchRequest)\n\t\tif err != nil {\n\t\t\tcclog.Warn(err)\n\t\t\treturn nil, false\n\t\t}\n\n\t\tif len(sr.Entries) != 1 {\n\t\t\tcclog.Warn(\"LDAP: User does not exist or too many entries returned\")\n\t\t\treturn nil, false\n\t\t}\n\n\t\tentry := sr.Entries[0]\n\t\tuser = &schema.User{\n\t\t\tUsername:   username,\n\t\t\tName:       entry.GetAttributeValue(la.UserAttr),\n\t\t\tRoles:      []string{schema.GetRoleString(schema.RoleUser)},\n\t\t\tProjects:   make([]string, 0),\n\t\t\tAuthType:   schema.AuthSession,\n\t\t\tAuthSource: schema.AuthViaLDAP,\n\t\t}\n\n\t\thandleLdapUser(user)\n\t\treturn user, true\n\t}\n\n\treturn nil, false\n}\n\nfunc (la *LdapAuthenticator) Login(\n\tuser *schema.User,\n\trw http.ResponseWriter,\n\tr *http.Request,\n) (*schema.User, error) {\n\tl, err := la.getLdapConnection(false)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting ldap connection\")\n\t\treturn nil, err\n\t}\n\tdefer l.Close()\n\n\tuserDn := strings.ReplaceAll(Keys.LdapConfig.UserBind, \"{username}\", ldap.EscapeDN(user.Username))\n\tif err := l.Bind(userDn, r.FormValue(\"password\")); err != nil {\n\t\tcclog.Errorf(\"AUTH/LDAP > Authentication for user %s failed: %v\",\n\t\t\tuser.Username, err)\n\t\treturn nil, fmt.Errorf(\"Authentication failed\")\n\t}\n\n\treturn user, nil\n}\n\nfunc (la *LdapAuthenticator) Sync() error {\n\tconst InDB int = 1\n\tconst InLdap int = 2\n\tconst InBoth int = 3\n\tur := repository.GetUserRepository()\n\tlc := Keys.LdapConfig\n\n\tusers := map[string]int{}\n\tusernames, err := ur.GetLdapUsernames()\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tfor _, username := range usernames {\n\t\tusers[username] = InDB\n\t}\n\n\tl, err := la.getLdapConnection(true)\n\tif err != nil {\n\t\tcclog.Error(\"LDAP connection error\")\n\t\treturn err\n\t}\n\tdefer l.Close()\n\n\tldapResults, err := l.Search(ldap.NewSearchRequest(\n\t\tlc.UserBase,\n\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n\t\tlc.UserFilter,\n\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil))\n\tif err != nil {\n\t\tcclog.Warn(\"LDAP search error\")\n\t\treturn err\n\t}\n\n\tnewnames := map[string]string{}\n\tfor _, entry := range ldapResults.Entries {\n\t\tusername := entry.GetAttributeValue(la.UIDAttr)\n\t\tif username == \"\" {\n\t\t\treturn fmt.Errorf(\"no attribute '%s'\", la.UIDAttr)\n\t\t}\n\n\t\t_, ok := users[username]\n\t\tif !ok {\n\t\t\tusers[username] = InLdap\n\t\t\tnewnames[username] = entry.GetAttributeValue(la.UserAttr)\n\t\t} else {\n\t\t\tusers[username] = InBoth\n\t\t}\n\t}\n\n\tfor username, where := range users {\n\t\tif where == InDB && lc.SyncDelOldUsers {\n\t\t\tif err := ur.DelUser(username); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Delete from DB failed: %v\", username, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tcclog.Debugf(\"sync: remove %v (does not show up in LDAP anymore)\", username)\n\t\t} else if where == InLdap {\n\t\t\tname := newnames[username]\n\n\t\t\tuser := &schema.User{\n\t\t\t\tUsername:   username,\n\t\t\t\tName:       name,\n\t\t\t\tRoles:      []string{schema.GetRoleString(schema.RoleUser)},\n\t\t\t\tProjects:   make([]string, 0),\n\t\t\t\tAuthSource: schema.AuthViaLDAP,\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)\n\t\t\tif err := ur.AddUser(user); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (la *LdapAuthenticator) getLdapConnection(admin bool) (*ldap.Conn, error) {\n\tlc := Keys.LdapConfig\n\tconn, err := ldap.DialURL(lc.URL,\n\t\tldap.DialWithDialer(&net.Dialer{Timeout: 10 * time.Second}))\n\tif err != nil {\n\t\tcclog.Warn(\"LDAP URL dial failed\")\n\t\treturn nil, err\n\t}\n\tconn.SetTimeout(30 * time.Second)\n\n\tif admin {\n\t\tif err := conn.Bind(lc.SearchDN, la.syncPassword); err != nil {\n\t\t\tconn.Close()\n\t\t\tcclog.Warn(\"LDAP connection bind failed\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn conn, nil\n}\n","numLines":243,"startLine":1,"totalLines":243}},"sourceToolAssistantUUID":"794d5b22-e6b4-461a-8b60-f67f3e47e371","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"e001baa9-61e4-45ac-b202-53caad8b525f","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GpAw7qx8NsDwkEM2UaDjvA","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"encoding/json\"\n    10→\t\"fmt\"\n    11→\n    12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    14→\tsq \"github.com/Masterminds/squirrel\"\n    15→)\n    16→\n    17→const NamedJobCacheInsert string = `INSERT INTO job_cache (\n    18→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n    19→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n    20→) VALUES (\n    21→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n    22→  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n    23→);`\n    24→\n    25→const NamedJobInsert string = `INSERT INTO job (\n    26→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n    27→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n    28→) VALUES (\n    29→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n    30→  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n    31→);`\n    32→\n    33→// InsertJobDirect inserts a job directly into the job table (not job_cache).\n    34→// Use this when the returned ID will be used for operations on the job table\n    35→// (e.g., adding tags), or for imported jobs that are already completed.\n    36→func (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n    37→\tr.Mutex.Lock()\n    38→\tdefer r.Mutex.Unlock()\n    39→\n    40→\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n    41→\tif err != nil {\n    42→\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n    43→\t\treturn 0, err\n    44→\t}\n    45→\tid, err := res.LastInsertId()\n    46→\tif err != nil {\n    47→\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n    48→\t\treturn 0, err\n    49→\t}\n    50→\n    51→\treturn id, nil\n    52→}\n    53→\n    54→func (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n    55→\tr.Mutex.Lock()\n    56→\tdefer r.Mutex.Unlock()\n    57→\n    58→\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n    59→\tif err != nil {\n    60→\t\tcclog.Warn(\"Error while NamedJobInsert\")\n    61→\t\treturn 0, err\n    62→\t}\n    63→\tid, err := res.LastInsertId()\n    64→\tif err != nil {\n    65→\t\tcclog.Warn(\"Error while getting last insert ID\")\n    66→\t\treturn 0, err\n    67→\t}\n    68→\n    69→\treturn id, nil\n    70→}\n    71→\n    72→func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n    73→\tr.Mutex.Lock()\n    74→\tdefer r.Mutex.Unlock()\n    75→\n    76→\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n    77→\n    78→\trows, err := query.RunWith(r.stmtCache).Query()\n    79→\tif err != nil {\n    80→\t\tcclog.Errorf(\"Error while running query %v\", err)\n    81→\t\treturn nil, err\n    82→\t}\n    83→\tdefer rows.Close()\n    84→\n    85→\tjobs := make([]*schema.Job, 0, 50)\n    86→\tfor rows.Next() {\n    87→\t\tjob, err := scanJob(rows)\n    88→\t\tif err != nil {\n    89→\t\t\tcclog.Warn(\"Error while scanning rows\")\n    90→\t\t\treturn nil, err\n    91→\t\t}\n    92→\t\tjobs = append(jobs, job)\n    93→\t}\n    94→\n    95→\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n    96→\t_, err = r.DB.Exec(\n    97→\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n    98→\tif err != nil {\n    99→\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n   100→\t\treturn nil, err\n   101→\t}\n   102→\n   103→\t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n   104→\tif err != nil {\n   105→\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n   106→\t\treturn nil, err\n   107→\t}\n   108→\n   109→\t// Resolve correct job.id from the job table. The IDs read from job_cache\n   110→\t// are from a different auto-increment sequence and must not be used to\n   111→\t// query the job table.\n   112→\tfor _, job := range jobs {\n   113→\t\tvar newID int64\n   114→\t\tif err := sq.Select(\"job.id\").From(\"job\").\n   115→\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n   116→\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n   117→\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n   118→\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n   119→\t\t\t\tjob.JobID, job.Cluster, err)\n   120→\t\t\tcontinue\n   121→\t\t}\n   122→\t\tjob.ID = &newID\n   123→\t}\n   124→\n   125→\treturn jobs, nil\n   126→}\n   127→\n   128→// TransferCachedJobToMain moves a job from job_cache to the job table.\n   129→// Caller must hold r.Mutex. Returns the new job table ID.\n   130→func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n   131→\tres, err := r.DB.Exec(\n   132→\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n   133→\t\tcacheID)\n   134→\tif err != nil {\n   135→\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n   136→\t}\n   137→\n   138→\tnewID, err := res.LastInsertId()\n   139→\tif err != nil {\n   140→\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n   141→\t}\n   142→\n   143→\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n   144→\tif err != nil {\n   145→\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n   146→\t}\n   147→\n   148→\treturn newID, nil\n   149→}\n   150→\n   151→// Start inserts a new job in the table, returning the unique job ID.\n   152→// Statistics are not transfered!\n   153→func (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n   154→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   155→\tif err != nil {\n   156→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n   157→\t}\n   158→\n   159→\tjob.RawResources, err = json.Marshal(job.Resources)\n   160→\tif err != nil {\n   161→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n   162→\t}\n   163→\n   164→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n   165→\tif err != nil {\n   166→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n   167→\t}\n   168→\n   169→\treturn r.InsertJob(job)\n   170→}\n   171→\n   172→// StartDirect inserts a new job directly into the job table (not job_cache).\n   173→// Use this when the returned ID will immediately be used for job table\n   174→// operations such as adding tags.\n   175→func (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n   176→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   177→\tif err != nil {\n   178→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n   179→\t}\n   180→\n   181→\tjob.RawResources, err = json.Marshal(job.Resources)\n   182→\tif err != nil {\n   183→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n   184→\t}\n   185→\n   186→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n   187→\tif err != nil {\n   188→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n   189→\t}\n   190→\n   191→\treturn r.InsertJobDirect(job)\n   192→}\n   193→\n   194→// Stop updates the job with the database id jobId using the provided arguments.\n   195→func (r *JobRepository) Stop(\n   196→\tjobID int64,\n   197→\tduration int32,\n   198→\tstate schema.JobState,\n   199→\tmonitoringStatus int32,\n   200→) (err error) {\n   201→\t// Invalidate cache entries as job state is changing\n   202→\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n   203→\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n   204→\n   205→\tstmt := sq.Update(\"job\").\n   206→\t\tSet(\"job_state\", state).\n   207→\t\tSet(\"duration\", duration).\n   208→\t\tSet(\"monitoring_status\", monitoringStatus).\n   209→\t\tWhere(\"job.id = ?\", jobID)\n   210→\n   211→\t_, err = stmt.RunWith(r.stmtCache).Exec()\n   212→\treturn err\n   213→}\n   214→"}]},"uuid":"b1410bed-082c-4942-bdc0-f810e807e257","timestamp":"2026-03-16T10:12:42.900Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"encoding/json\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst NamedJobCacheInsert string = `INSERT INTO job_cache (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n);`\n\nconst NamedJobInsert string = `INSERT INTO job (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n);`\n\n// InsertJobDirect inserts a job directly into the job table (not job_cache).\n// Use this when the returned ID will be used for operations on the job table\n// (e.g., adding tags), or for imported jobs that are already completed.\nfunc (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = r.DB.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}\n\n// TransferCachedJobToMain moves a job from job_cache to the job table.\n// Caller must hold r.Mutex. Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\treturn newID, nil\n}\n\n// Start inserts a new job in the table, returning the unique job ID.\n// Statistics are not transfered!\nfunc (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJob(job)\n}\n\n// StartDirect inserts a new job directly into the job table (not job_cache).\n// Use this when the returned ID will immediately be used for job table\n// operations such as adding tags.\nfunc (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJobDirect(job)\n}\n\n// Stop updates the job with the database id jobId using the provided arguments.\nfunc (r *JobRepository) Stop(\n\tjobID int64,\n\tduration int32,\n\tstate schema.JobState,\n\tmonitoringStatus int32,\n) (err error) {\n\t// Invalidate cache entries as job state is changing\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n\n\tstmt := sq.Update(\"job\").\n\t\tSet(\"job_state\", state).\n\t\tSet(\"duration\", duration).\n\t\tSet(\"monitoring_status\", monitoringStatus).\n\t\tWhere(\"job.id = ?\", jobID)\n\n\t_, err = stmt.RunWith(r.stmtCache).Exec()\n\treturn err\n}\n","numLines":214,"startLine":1,"totalLines":214}},"sourceToolAssistantUUID":"e001baa9-61e4-45ac-b202-53caad8b525f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport \"time\"\n\n// RepositoryConfig holds configuration for repository operations.\n// All fields have sensible defaults, so this configuration is optional.\ntype RepositoryConfig struct {\n\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n\t// Default: 1MB (1024 * 1024 bytes)\n\tCacheSize int\n\n\t// MaxOpenConnections is the maximum number of open database connections.\n\t// Default: 4\n\tMaxOpenConnections int\n\n\t// MaxIdleConnections is the maximum number of idle database connections.\n\t// Default: 4\n\tMaxIdleConnections int\n\n\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n\t// Default: 1 hour\n\tConnectionMaxLifetime time.Duration\n\n\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n\t// Default: 10 minutes\n\tConnectionMaxIdleTime time.Duration\n\n\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n\t// considered in \"running jobs\" queries. This filters out very short jobs.\n\t// Default: 600 seconds (10 minutes)\n\tMinRunningJobDuration int\n\n\t// DbCacheSizeMB is the SQLite page cache size per connection in MB.\n\t// Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n\t// and DbCacheSizeMB=2048, total page cache is up to 8GB.\n\t// Default: 2048 (2GB)\n\tDbCacheSizeMB int\n\n\t// DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n\t// SQLite will try to release cache pages to stay under this limit.\n\t// It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n\t// Default: 16384 (16GB)\n\tDbSoftHeapLimitMB int\n}\n\n// DefaultConfig returns the default repository configuration.\n// These values are optimized for typical deployments.\nfunc DefaultConfig() *RepositoryConfig {\n\treturn &RepositoryConfig{\n\t\tCacheSize:             1 * 1024 * 1024, // 1MB\n\t\tMaxOpenConnections:    4,\n\t\tMaxIdleConnections:    4,\n\t\tConnectionMaxLifetime: time.Hour,\n\t\tConnectionMaxIdleTime: 10 * time.Minute,\n\t\tMinRunningJobDuration: 600, // 10 minutes\n\t\tDbCacheSizeMB:        2048,  // 2GB per connection\n\t\tDbSoftHeapLimitMB:    16384, // 16GB process-wide\n\t}\n}\n\n// repoConfig is the package-level configuration instance.\n// It is initialized with defaults and can be overridden via SetConfig.\nvar repoConfig *RepositoryConfig = DefaultConfig()\n\n// SetConfig sets the repository configuration.\n// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n// If not called, default values from DefaultConfig() are used.\nfunc SetConfig(cfg *RepositoryConfig) {\n\tif cfg != nil {\n\t\trepoConfig = cfg\n\t}\n}\n\n// GetConfig returns the current repository configuration.\nfunc GetConfig() *RepositoryConfig {\n\treturn repoConfig\n}\n","structuredPatch":[{"oldStart":46,"oldLines":6,"newStart":46,"newLines":12,"lines":["   // It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.","   // Default: 16384 (16GB)","   DbSoftHeapLimitMB int","+","+  // BusyTimeoutMs is the SQLite busy_timeout in milliseconds.","+  // When a write is blocked by another writer, SQLite retries internally","+  // using a backoff mechanism for up to this duration before returning SQLITE_BUSY.","+  // Default: 60000 (60 seconds)","+  BusyTimeoutMs int"," }"," "," // DefaultConfig returns the default repository configuration."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"7f4b63eb-7e62-4753-b51f-b435bf637b0c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"fmt\"\n\t\"net/url\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"github.com/mattn/go-sqlite3\"\n\t\"github.com/qustavo/sqlhooks/v2\"\n)\n\nvar (\n\tdbConnOnce     sync.Once\n\tdbConnInstance *DBConnection\n)\n\ntype DBConnection struct {\n\tDB     *sqlx.DB\n\tDriver string\n}\n\ntype DatabaseOptions struct {\n\tURL                   string\n\tMaxOpenConnections    int\n\tMaxIdleConnections    int\n\tConnectionMaxLifetime time.Duration\n\tConnectionMaxIdleTime time.Duration\n}\n\nfunc setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t\tfmt.Sprintf(\"soft_heap_limit = %d\", int64(cfg.DbSoftHeapLimitMB)*1024*1024),\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc Connect(db string) {\n\tvar err error\n\tvar dbHandle *sqlx.DB\n\n\tdbConnOnce.Do(func() {\n\t\topts := DatabaseOptions{\n\t\t\tURL:                   db,\n\t\t\tMaxOpenConnections:    repoConfig.MaxOpenConnections,\n\t\t\tMaxIdleConnections:    repoConfig.MaxIdleConnections,\n\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n\t\t}\n\n\t\t// TODO: Have separate DB handles for Writes and Reads\n\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n\t\tconnectionURLParams := make(url.Values)\n\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n\t\tcacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\n\t\tconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))\n\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n\n\t\tif cclog.Loglevel() == \"debug\" {\n\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n\t\t} else {\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n\t\t}\n\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\terr = setupSqlite(dbHandle.DB, repoConfig)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tcclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n\t\t\trepoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n\n\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n\t\terr = checkDBVersion(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n\t\t}\n\t})\n}\n\nfunc GetConnection() *DBConnection {\n\tif dbConnInstance == nil {\n\t\tcclog.Fatalf(\"Database connection not initialized!\")\n\t}\n\n\treturn dbConnInstance\n}\n\n// ResetConnection closes the current database connection and resets the connection state.\n// This function is intended for testing purposes only to allow test isolation.\nfunc ResetConnection() error {\n\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n\t\tif err := dbConnInstance.DB.Close(); err != nil {\n\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n\t\t}\n\t}\n\n\tdbConnInstance = nil\n\tdbConnOnce = sync.Once{}\n\tjobRepoInstance = nil\n\tjobRepoOnce = sync.Once{}\n\tnodeRepoInstance = nil\n\tnodeRepoOnce = sync.Once{}\n\tuserRepoInstance = nil\n\tuserRepoOnce = sync.Once{}\n\tuserCfgRepoInstance = nil\n\tuserCfgRepoOnce = sync.Once{}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":70,"oldLines":7,"newStart":70,"newLines":7,"lines":["     connectionURLParams := make(url.Values)","     connectionURLParams.Add(\"_txlock\", \"immediate\")","     connectionURLParams.Add(\"_journal_mode\", \"WAL\")","-    connectionURLParams.Add(\"_busy_timeout\", \"5000\")","+    connectionURLParams.Add(\"_busy_timeout\", fmt.Sprintf(\"%d\", repoConfig.BusyTimeoutMs))","     connectionURLParams.Add(\"_synchronous\", \"NORMAL\")","     cacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB","     connectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"61721dc8-d1c5-4347-931f-d7051b5cc537","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage archive\n\nimport (\n\t\"bytes\"\n\t\"compress/gzip\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"slices\"\n\t\"strconv\"\n\t\"sync\"\n\t\"text/tabwriter\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t_ \"github.com/mattn/go-sqlite3\"\n)\n\n// SqliteArchiveConfig holds the configuration for the SQLite archive backend.\ntype SqliteArchiveConfig struct {\n\tDBPath string `json:\"db-path\"` // Path to SQLite database file\n}\n\n// SqliteArchive implements ArchiveBackend using a SQLite database with BLOB storage.\n// Job metadata and data are stored as JSON BLOBs with indexes for fast queries.\n//\n// Uses WAL (Write-Ahead Logging) mode for better concurrency and a 64MB cache.\ntype SqliteArchive struct {\n\tdb       *sql.DB  // SQLite database connection\n\tclusters []string // List of discovered cluster names\n}\n\n// sqliteSchema defines the database schema for SQLite archive backend.\n// Jobs table: stores job metadata and data as BLOBs with compression flag\n// Clusters table: stores cluster configurations\n// Metadata table: stores version and other key-value pairs\nconst sqliteSchema = `\nCREATE TABLE IF NOT EXISTS jobs (\n    id INTEGER PRIMARY KEY AUTOINCREMENT,\n    job_id INTEGER NOT NULL,\n    cluster TEXT NOT NULL,\n    start_time INTEGER NOT NULL,\n    meta_json BLOB NOT NULL,\n    data_json BLOB,\n    data_compressed BOOLEAN DEFAULT 0,\n    created_at INTEGER NOT NULL,\n    updated_at INTEGER NOT NULL,\n    UNIQUE(job_id, cluster, start_time)\n);\n\nCREATE INDEX IF NOT EXISTS idx_jobs_cluster ON jobs(cluster);\nCREATE INDEX IF NOT EXISTS idx_jobs_start_time ON jobs(start_time);\nCREATE INDEX IF NOT EXISTS idx_jobs_order ON jobs(cluster, start_time);\nCREATE INDEX IF NOT EXISTS idx_jobs_lookup ON jobs(cluster, job_id, start_time);\n\nCREATE TABLE IF NOT EXISTS clusters (\n    name TEXT PRIMARY KEY,\n    config_json BLOB NOT NULL,\n    updated_at INTEGER NOT NULL\n);\n\nCREATE TABLE IF NOT EXISTS metadata (\n    key TEXT PRIMARY KEY,\n    value TEXT NOT NULL\n);\n`\n\nfunc (sa *SqliteArchive) Init(rawConfig json.RawMessage) (uint64, error) {\n\tvar cfg SqliteArchiveConfig\n\tif err := json.Unmarshal(rawConfig, &cfg); err != nil {\n\t\tcclog.Warnf(\"SqliteArchive Init() > Unmarshal error: %#v\", err)\n\t\treturn 0, err\n\t}\n\n\tif cfg.DBPath == \"\" {\n\t\terr := fmt.Errorf(\"SqliteArchive Init(): empty database path\")\n\t\tcclog.Errorf(\"SqliteArchive Init() > config error: %v\", err)\n\t\treturn 0, err\n\t}\n\n\t// Open SQLite database\n\tdb, err := sql.Open(\"sqlite3\", cfg.DBPath)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to open database: %v\", err)\n\t\treturn 0, err\n\t}\n\tsa.db = db\n\n\t// Set pragmas for better performance\n\tpragmas := []string{\n\t\t\"PRAGMA journal_mode=WAL\",\n\t\t\"PRAGMA synchronous=NORMAL\",\n\t\t\"PRAGMA cache_size=-64000\", // 64MB cache\n\t\t\"PRAGMA busy_timeout=5000\",\n\t}\n\tfor _, pragma := range pragmas {\n\t\tif _, err := sa.db.Exec(pragma); err != nil {\n\t\t\tcclog.Warnf(\"SqliteArchive Init() > pragma failed: %v\", err)\n\t\t}\n\t}\n\n\t// Create schema\n\tif _, err := sa.db.Exec(sqliteSchema); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > schema creation failed: %v\", err)\n\t\treturn 0, err\n\t}\n\n\t// Check/set version\n\tvar versionStr string\n\terr = sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'version'\").Scan(&versionStr)\n\tif err == sql.ErrNoRows {\n\t\t// First time initialization, set version\n\t\t_, err = sa.db.Exec(\"INSERT INTO metadata (key, value) VALUES ('version', ?)\", fmt.Sprintf(\"%d\", Version))\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to set version: %v\", err)\n\t\t\treturn 0, err\n\t\t}\n\t\tversionStr = fmt.Sprintf(\"%d\", Version)\n\t} else if err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to read version: %v\", err)\n\t\treturn 0, err\n\t}\n\n\tversion, err := strconv.ParseUint(versionStr, 10, 64)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > version parse error: %v\", err)\n\t\treturn 0, err\n\t}\n\n\tif version != Version {\n\t\treturn version, fmt.Errorf(\"unsupported version %d, need %d\", version, Version)\n\t}\n\n\t// Discover clusters\n\tsa.clusters = []string{}\n\trows, err := sa.db.Query(\"SELECT DISTINCT cluster FROM jobs ORDER BY cluster\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to query clusters: %v\", err)\n\t\treturn 0, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar cluster string\n\t\tif err := rows.Scan(&cluster); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to scan cluster: %v\", err)\n\t\t\tcontinue\n\t\t}\n\t\tsa.clusters = append(sa.clusters, cluster)\n\t}\n\n\tcclog.Infof(\"SqliteArchive initialized with database '%s', found %d clusters\", cfg.DBPath, len(sa.clusters))\n\treturn version, nil\n}\n\nfunc (sa *SqliteArchive) Info() {\n\tfmt.Printf(\"SQLite Job archive database\\n\")\n\n\tci := make(map[string]*clusterInfo)\n\n\trows, err := sa.db.Query(`\n\t\tSELECT cluster, COUNT(*), MIN(start_time), MAX(start_time),\n\t\t       SUM(LENGTH(meta_json) + COALESCE(LENGTH(data_json), 0))\n\t\tFROM jobs\n\t\tGROUP BY cluster\n\t`)\n\tif err != nil {\n\t\tcclog.Fatalf(\"SqliteArchive Info() > query failed: %s\", err.Error())\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar cluster string\n\t\tvar numJobs int\n\t\tvar dateFirst, dateLast int64\n\t\tvar diskSize int64\n\n\t\tif err := rows.Scan(&cluster, &numJobs, &dateFirst, &dateLast, &diskSize); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Info() > scan failed: %v\", err)\n\t\t\tcontinue\n\t\t}\n\n\t\tci[cluster] = &clusterInfo{\n\t\t\tnumJobs:   numJobs,\n\t\t\tdateFirst: dateFirst,\n\t\t\tdateLast:  dateLast,\n\t\t\tdiskSize:  float64(diskSize) / (1024 * 1024), // Convert to MB\n\t\t}\n\t}\n\n\tcit := clusterInfo{dateFirst: time.Now().Unix()}\n\tw := tabwriter.NewWriter(os.Stdout, 0, 0, 2, ' ', tabwriter.Debug)\n\tfmt.Fprintln(w, \"cluster\\t#jobs\\tfrom\\tto\\tsize (MB)\")\n\tfor cluster, clusterInfo := range ci {\n\t\tfmt.Fprintf(w, \"%s\\t%d\\t%s\\t%s\\t%.2f\\n\", cluster,\n\t\t\tclusterInfo.numJobs,\n\t\t\ttime.Unix(clusterInfo.dateFirst, 0),\n\t\t\ttime.Unix(clusterInfo.dateLast, 0),\n\t\t\tclusterInfo.diskSize)\n\n\t\tcit.numJobs += clusterInfo.numJobs\n\t\tcit.dateFirst = util.Min(cit.dateFirst, clusterInfo.dateFirst)\n\t\tcit.dateLast = util.Max(cit.dateLast, clusterInfo.dateLast)\n\t\tcit.diskSize += clusterInfo.diskSize\n\t}\n\n\tfmt.Fprintf(w, \"TOTAL\\t%d\\t%s\\t%s\\t%.2f\\n\",\n\t\tcit.numJobs, time.Unix(cit.dateFirst, 0), time.Unix(cit.dateLast, 0), cit.diskSize)\n\tw.Flush()\n}\n\nfunc (sa *SqliteArchive) Exists(job *schema.Job) bool {\n\tvar count int\n\terr := sa.db.QueryRow(\"SELECT COUNT(*) FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&count)\n\treturn err == nil && count > 0\n}\n\nfunc (sa *SqliteArchive) LoadJobMeta(job *schema.Job) (*schema.Job, error) {\n\tvar metaBlob []byte\n\terr := sa.db.QueryRow(\"SELECT meta_json FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&metaBlob)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobMeta() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif config.Keys.Validate {\n\t\tif err := schema.Validate(schema.Meta, bytes.NewReader(metaBlob)); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"validate job meta: %v\", err)\n\t\t}\n\t}\n\n\treturn DecodeJobMeta(bytes.NewReader(metaBlob))\n}\n\nfunc (sa *SqliteArchive) LoadJobData(job *schema.Job) (schema.JobData, error) {\n\tvar dataBlob []byte\n\tvar compressed bool\n\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\n\tvar reader io.Reader = bytes.NewReader(dataBlob)\n\tif compressed {\n\t\tgzipReader, err := gzip.NewReader(reader)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > gzip error: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\tdefer gzipReader.Close()\n\t\treader = gzipReader\n\t}\n\n\tif config.Keys.Validate {\n\t\tdata, _ := io.ReadAll(reader)\n\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n\t\t\treturn schema.JobData{}, fmt.Errorf(\"validate job data: %v\", err)\n\t\t}\n\t\treturn DecodeJobData(bytes.NewReader(data), key)\n\t}\n\n\treturn DecodeJobData(reader, key)\n}\n\nfunc (sa *SqliteArchive) LoadJobStats(job *schema.Job) (schema.ScopedJobStats, error) {\n\tvar dataBlob []byte\n\tvar compressed bool\n\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\n\tvar reader io.Reader = bytes.NewReader(dataBlob)\n\tif compressed {\n\t\tgzipReader, err := gzip.NewReader(reader)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > gzip error: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\tdefer gzipReader.Close()\n\t\treader = gzipReader\n\t}\n\n\tif config.Keys.Validate {\n\t\tdata, _ := io.ReadAll(reader)\n\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"validate job data: %v\", err)\n\t\t}\n\t\treturn DecodeJobStats(bytes.NewReader(data), key)\n\t}\n\n\treturn DecodeJobStats(reader, key)\n}\n\nfunc (sa *SqliteArchive) LoadClusterCfg(name string) (*schema.Cluster, error) {\n\tvar configBlob []byte\n\terr := sa.db.QueryRow(\"SELECT config_json FROM clusters WHERE name = ?\", name).Scan(&configBlob)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadClusterCfg() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif config.Keys.Validate {\n\t\tif err := schema.Validate(schema.ClusterCfg, bytes.NewReader(configBlob)); err != nil {\n\t\t\tcclog.Warnf(\"Validate cluster config: %v\\n\", err)\n\t\t\treturn &schema.Cluster{}, fmt.Errorf(\"validate cluster config: %v\", err)\n\t\t}\n\t}\n\n\treturn DecodeCluster(bytes.NewReader(configBlob))\n}\n\nfunc (sa *SqliteArchive) StoreJobMeta(job *schema.Job) error {\n\tvar metaBuf bytes.Buffer\n\tif err := EncodeJobMeta(&metaBuf, job); err != nil {\n\t\tcclog.Error(\"SqliteArchive StoreJobMeta() > encoding error\")\n\t\treturn err\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, created_at, updated_at)\n\t\tVALUES (?, ?, ?, ?, ?, ?)\n\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n\t\t\tmeta_json = excluded.meta_json,\n\t\t\tupdated_at = excluded.updated_at\n\t`, job.JobID, job.Cluster, job.StartTime, metaBuf.Bytes(), now, now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive StoreJobMeta() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (sa *SqliteArchive) ImportJob(jobMeta *schema.Job, jobData *schema.JobData) error {\n\tvar metaBuf, dataBuf bytes.Buffer\n\tif err := EncodeJobMeta(&metaBuf, jobMeta); err != nil {\n\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding meta error\")\n\t\treturn err\n\t}\n\tif err := EncodeJobData(&dataBuf, jobData); err != nil {\n\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding data error\")\n\t\treturn err\n\t}\n\n\tvar dataBytes []byte\n\tvar compressed bool\n\n\tif dataBuf.Len() > 2000 {\n\t\tvar compressedBuf bytes.Buffer\n\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n\t\tif _, err := gzipWriter.Write(dataBuf.Bytes()); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip write error: %v\", err)\n\t\t\treturn err\n\t\t}\n\t\tif err := gzipWriter.Close(); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip close error: %v\", err)\n\t\t\treturn err\n\t\t}\n\t\tdataBytes = compressedBuf.Bytes()\n\t\tcompressed = true\n\t} else {\n\t\tdataBytes = dataBuf.Bytes()\n\t\tcompressed = false\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, data_json, data_compressed, created_at, updated_at)\n\t\tVALUES (?, ?, ?, ?, ?, ?, ?, ?)\n\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n\t\t\tmeta_json = excluded.meta_json,\n\t\t\tdata_json = excluded.data_json,\n\t\t\tdata_compressed = excluded.data_compressed,\n\t\t\tupdated_at = excluded.updated_at\n\t`, jobMeta.JobID, jobMeta.Cluster, jobMeta.StartTime, metaBuf.Bytes(), dataBytes, compressed, now, now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive ImportJob() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (sa *SqliteArchive) GetClusters() []string {\n\treturn sa.clusters\n}\n\nfunc (sa *SqliteArchive) CleanUp(jobs []*schema.Job) {\n\tstart := time.Now()\n\tcount := 0\n\n\ttx, err := sa.db.Begin()\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > transaction error: %v\", err)\n\t\treturn\n\t}\n\tdefer tx.Rollback()\n\n\tstmt, err := tx.Prepare(\"DELETE FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > prepare error: %v\", err)\n\t\treturn\n\t}\n\tdefer stmt.Close()\n\n\tfor _, job := range jobs {\n\t\tif job == nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() error: job is nil\")\n\t\t\tcontinue\n\t\t}\n\n\t\tif _, err := stmt.Exec(job.JobID, job.Cluster, job.StartTime); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() > delete error: %v\", err)\n\t\t} else {\n\t\t\tcount++\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > commit error: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Retention Service - Remove %d jobs from SQLite in %s\", count, time.Since(start))\n}\n\nfunc (sa *SqliteArchive) Move(jobs []*schema.Job, targetPath string) {\n\t// For SQLite, \"move\" means updating the cluster field or similar\n\t// This is interpretation-dependent; for now we'll just log\n\tcclog.Warnf(\"SqliteArchive Move() is not fully implemented - moves within database not applicable\")\n}\n\nfunc (sa *SqliteArchive) Clean(before int64, after int64) {\n\tif after == 0 {\n\t\tafter = math.MaxInt64\n\t}\n\n\tresult, err := sa.db.Exec(\"DELETE FROM jobs WHERE start_time < ? OR start_time > ?\", before, after)\n\tif err != nil {\n\t\tcclog.Fatalf(\"SqliteArchive Clean() > delete error: %s\", err.Error())\n\t}\n\n\trowsAffected, _ := result.RowsAffected()\n\tcclog.Infof(\"SqliteArchive Clean() removed %d jobs\", rowsAffected)\n}\n\nfunc (sa *SqliteArchive) Compress(jobs []*schema.Job) {\n\tvar cnt int\n\tstart := time.Now()\n\n\ttx, err := sa.db.Begin()\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > transaction error: %v\", err)\n\t\treturn\n\t}\n\tdefer tx.Rollback()\n\n\tstmt, err := tx.Prepare(\"UPDATE jobs SET data_json = ?, data_compressed = 1 WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > prepare error: %v\", err)\n\t\treturn\n\t}\n\tdefer stmt.Close()\n\n\tfor _, job := range jobs {\n\t\tvar dataBlob []byte\n\t\tvar compressed bool\n\t\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\t\tif err != nil || compressed || len(dataBlob) < 2000 {\n\t\t\tcontinue // Skip if error, already compressed, or too small\n\t\t}\n\n\t\t// Compress the data\n\t\tvar compressedBuf bytes.Buffer\n\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n\t\tif _, err := gzipWriter.Write(dataBlob); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Compress() > gzip error: %v\", err)\n\t\t\tgzipWriter.Close()\n\t\t\tcontinue\n\t\t}\n\t\tgzipWriter.Close()\n\n\t\tif _, err := stmt.Exec(compressedBuf.Bytes(), job.JobID, job.Cluster, job.StartTime); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Compress() > update error: %v\", err)\n\t\t} else {\n\t\t\tcnt++\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > commit error: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Compression Service - %d jobs in SQLite took %s\", cnt, time.Since(start))\n}\n\nfunc (sa *SqliteArchive) CompressLast(starttime int64) int64 {\n\tvar lastStr string\n\terr := sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'compress_last'\").Scan(&lastStr)\n\n\tvar last int64\n\tif err == sql.ErrNoRows {\n\t\tlast = starttime\n\t} else if err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CompressLast() > query error: %v\", err)\n\t\tlast = starttime\n\t} else {\n\t\tlast, err = strconv.ParseInt(lastStr, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CompressLast() > parse error: %v\", err)\n\t\t\tlast = starttime\n\t\t}\n\t}\n\n\tcclog.Infof(\"SqliteArchive CompressLast() - start %d last %d\", starttime, last)\n\n\t// Update timestamp\n\t_, err = sa.db.Exec(`\n\t\tINSERT INTO metadata (key, value) VALUES ('compress_last', ?)\n\t\tON CONFLICT(key) DO UPDATE SET value = excluded.value\n\t`, fmt.Sprintf(\"%d\", starttime))\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CompressLast() > update error: %v\", err)\n\t}\n\n\treturn last\n}\n\ntype sqliteJobRow struct {\n\tmetaBlob   []byte\n\tdataBlob   []byte\n\tcompressed bool\n}\n\nfunc (sa *SqliteArchive) Iter(loadMetricData bool) <-chan JobContainer {\n\tch := make(chan JobContainer)\n\n\tgo func() {\n\t\tdefer close(ch)\n\n\t\tconst chunkSize = 1000\n\t\toffset := 0\n\n\t\tvar query string\n\t\tif loadMetricData {\n\t\t\tquery = \"SELECT meta_json, data_json, data_compressed FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n\t\t} else {\n\t\t\tquery = \"SELECT meta_json FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n\t\t}\n\n\t\tnumWorkers := 4\n\t\tjobRows := make(chan sqliteJobRow, numWorkers*2)\n\t\tvar wg sync.WaitGroup\n\n\t\tfor range numWorkers {\n\t\t\twg.Go(func() {\n\t\t\t\tfor row := range jobRows {\n\t\t\t\t\tjob, err := DecodeJobMeta(bytes.NewReader(row.metaBlob))\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode meta error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\n\t\t\t\t\tif loadMetricData && row.dataBlob != nil {\n\t\t\t\t\t\tvar reader io.Reader = bytes.NewReader(row.dataBlob)\n\t\t\t\t\t\tif row.compressed {\n\t\t\t\t\t\t\tgzipReader, err := gzip.NewReader(reader)\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > gzip error: %v\", err)\n\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tdecompressed, err := io.ReadAll(gzipReader)\n\t\t\t\t\t\t\tgzipReader.Close()\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decompress error: %v\", err)\n\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\treader = bytes.NewReader(decompressed)\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\t\t\t\t\t\tjobData, err := DecodeJobData(reader, key)\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode data error: %v\", err)\n\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: &jobData}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else {\n\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\n\t\tfor {\n\t\t\trows, err := sa.db.Query(query, chunkSize, offset)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Fatalf(\"SqliteArchive Iter() > query error: %s\", err.Error())\n\t\t\t}\n\n\t\t\trowCount := 0\n\t\t\tfor rows.Next() {\n\t\t\t\tvar row sqliteJobRow\n\n\t\t\t\tif loadMetricData {\n\t\t\t\t\tif err := rows.Scan(&row.metaBlob, &row.dataBlob, &row.compressed); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif err := rows.Scan(&row.metaBlob); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\trow.dataBlob = nil\n\t\t\t\t\trow.compressed = false\n\t\t\t\t}\n\n\t\t\t\tjobRows <- row\n\t\t\t\trowCount++\n\t\t\t}\n\t\t\trows.Close()\n\n\t\t\tif rowCount < chunkSize {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\toffset += chunkSize\n\t\t}\n\n\t\tclose(jobRows)\n\t\twg.Wait()\n\t}()\n\n\treturn ch\n}\n\nfunc (sa *SqliteArchive) StoreClusterCfg(name string, config *schema.Cluster) error {\n\tvar configBuf bytes.Buffer\n\tif err := EncodeCluster(&configBuf, config); err != nil {\n\t\tcclog.Error(\"SqliteArchive StoreClusterCfg() > encoding error\")\n\t\treturn err\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO clusters (name, config_json, updated_at)\n\t\tVALUES (?, ?, ?)\n\t\tON CONFLICT(name) DO UPDATE SET\n\t\t\tconfig_json = excluded.config_json,\n\t\t\tupdated_at = excluded.updated_at\n\t`, name, configBuf.Bytes(), now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive StoreClusterCfg() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\t// Update clusters list if new\n\tfound := slices.Contains(sa.clusters, name)\n\tif !found {\n\t\tsa.clusters = append(sa.clusters, name)\n\t}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":102,"oldLines":7,"newStart":102,"newLines":7,"lines":["     \"PRAGMA journal_mode=WAL\",","     \"PRAGMA synchronous=NORMAL\",","     \"PRAGMA cache_size=-64000\", // 64MB cache","-    \"PRAGMA busy_timeout=5000\",","+    \"PRAGMA busy_timeout=60000\",","   }","   for _, pragma := range pragmas {","     if _, err := sa.db.Exec(pragma); err != nil {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"94ecafb1-e6a3-48e2-bfe6-f8d44e7872e4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"bd80c015-d925-4dda-9ef4-c17de72e4519","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Si41CcYiGJS7htJyRZAWE9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NqcSrvVk89yR55JTjfVyqJ","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go","old_string":"func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {","new_string":"// AddUserIfNotExists inserts a user only if the username does not already exist.\n// Uses INSERT OR IGNORE to avoid UNIQUE constraint errors when a user is\n// concurrently created (e.g., by a login while LDAP sync is running).\n// Unlike AddUser, this intentionally skips the deprecated default metrics config insertion.\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := \"username, name, roles, projects, ldap\"\n\t_, err := r.DB.Exec(\n\t\t`INSERT OR IGNORE INTO hpc_user (`+cols+`) VALUES (?, ?, ?, ?, ?)`,\n\t\tuser.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n\treturn err\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1320,"cache_read_input_tokens":66713,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1320},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6afAUESQvCcpF23cbnH","type":"assistant","uuid":"d8c87700-46e1-4aed-bb74-9a129f330bca","timestamp":"2026-03-16T10:13:08.817Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d8c87700-46e1-4aed-bb74-9a129f330bca","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01NqcSrvVk89yR55JTjfVyqJ","toolUseID":"toolu_01NqcSrvVk89yR55JTjfVyqJ","timestamp":"2026-03-16T10:13:08.825Z","uuid":"313b3b15-2243-427f-9e46-746efe480339","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d8c87700-46e1-4aed-bb74-9a129f330bca","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NqcSrvVk89yR55JTjfVyqJ","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go has been updated successfully."}]},"uuid":"1dcd7d16-6392-4be2-b84d-063eef53646b","timestamp":"2026-03-16T10:13:08.825Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go","oldString":"func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {","newString":"// AddUserIfNotExists inserts a user only if the username does not already exist.\n// Uses INSERT OR IGNORE to avoid UNIQUE constraint errors when a user is\n// concurrently created (e.g., by a login while LDAP sync is running).\n// Unlike AddUser, this intentionally skips the deprecated default metrics config insertion.\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := \"username, name, roles, projects, ldap\"\n\t_, err := r.DB.Exec(\n\t\t`INSERT OR IGNORE INTO hpc_user (`+cols+`) VALUES (?, ?, ?, ?, ?)`,\n\t\tuser.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n\treturn err\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"reflect\"\n\t\"strings\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"golang.org/x/crypto/bcrypt\"\n)\n\n// Authentication and Role System:\n//\n// ClusterCockpit supports multiple authentication sources:\n//   - Local: Username/password stored in database (password hashed with bcrypt)\n//   - LDAP: External LDAP/Active Directory authentication\n//   - JWT: Token-based authentication for API access\n//\n// Role Hierarchy (from highest to lowest privilege):\n//   1. \"admin\" - Full system access, can manage all users and jobs\n//   2. \"support\" - Can view all jobs but limited management capabilities\n//   3. \"manager\" - Can manage specific projects and their users\n//   4. \"api\" - Programmatic access for job submission/management\n//   5. \"user\" - Default role, can only view own jobs\n//\n// Project Association:\n//   - Managers have a list of projects they oversee\n//   - Regular users' project membership is determined by job data\n//   - Managers can view/manage all jobs within their projects\n\nvar (\n\tuserRepoOnce     sync.Once\n\tuserRepoInstance *UserRepository\n)\n\ntype UserRepository struct {\n\tDB     *sqlx.DB\n\tdriver string\n}\n\nfunc GetUserRepository() *UserRepository {\n\tuserRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tuserRepoInstance = &UserRepository{\n\t\t\tDB:     db.DB,\n\t\t\tdriver: db.Driver,\n\t\t}\n\t})\n\treturn userRepoInstance\n}\n\n// GetUser retrieves a user by username from the database.\n// Returns the complete user record including hashed password, roles, and projects.\n// Password field contains bcrypt hash for local auth users, empty for LDAP users.\nfunc (r *UserRepository) GetUser(username string) (*schema.User, error) {\n\tuser := &schema.User{Username: username}\n\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Password = hashedPassword.String\n\tuser.Name = name.String\n\tuser.Email = email.String\n\tif rawRoles.Valid {\n\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\tif rawProjects.Valid {\n\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn user, nil\n}\n\nfunc (r *UserRepository) GetLdapUsernames() ([]string, error) {\n\tvar users []string\n\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying usernames\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar username string\n\t\tif err := rows.Scan(&username); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tusers = append(users, username)\n\t}\n\n\treturn users, nil\n}\n\n// AddUser creates a new user in the database.\n// Passwords are automatically hashed with bcrypt before storage.\n// Auth source determines authentication method (local, LDAP, etc.).\n//\n// Required fields: Username, Roles\n// Optional fields: Name, Email, Password, Projects, AuthSource\nfunc (r *UserRepository) AddUser(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := []string{\"username\", \"roles\", \"projects\"}\n\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n\n\tif user.Name != \"\" {\n\t\tcols = append(cols, \"name\")\n\t\tvals = append(vals, user.Name)\n\t}\n\tif user.Email != \"\" {\n\t\tcols = append(cols, \"email\")\n\t\tvals = append(vals, user.Email)\n\t}\n\tif user.Password != \"\" {\n\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"Error while encrypting new user password\")\n\t\t\treturn err\n\t\t}\n\t\tcols = append(cols, \"password\")\n\t\tvals = append(vals, string(password))\n\t}\n\tif user.AuthSource != -1 {\n\t\tcols = append(cols, \"ldap\")\n\t\tvals = append(vals, int(user.AuthSource))\n\t}\n\n\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n\t\treturn err\n\t}\n\n\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n\n\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n\t} else if defaultMetricsCfg != nil {\n\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n\t\t\tif _, err := sq.Insert(\"configuration\").\n\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n\t\t\t} else {\n\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n\t\t\t}\n\t\t}\n\t}\n\t// END DEPRECATION\n\n\treturn nil\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n\t// user contains updated info -> Apply to dbUser\n\t// --- Simple Name Update ---\n\tif dbUser.Name != user.Name {\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Def Helpers ---\n\t// Helper to update roles\n\tupdateRoles := func(roles []string) error {\n\t\trolesJSON, _ := json.Marshal(roles)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to update projects\n\tupdateProjects := func(projects []string) error {\n\t\tprojectsJSON, _ := json.Marshal(projects)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to clear projects\n\tclearProjects := func() error {\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// --- Manager Role Handling ---\n\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n\t\t// Existing Manager: update projects\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Manager: update roles and projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n\t\t// Remove Manager: update roles and clear projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := clearProjects(); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Support Role Handling ---\n\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t// Remove Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) DelUser(username string) error {\n\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted user '%s' from DB\", username)\n\treturn nil\n}\n\nfunc (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n\tif specialsOnly {\n\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n\t}\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying user list\")\n\t\treturn nil, err\n\t}\n\n\tusers := make([]*schema.User, 0)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\trawroles := \"\"\n\t\trawprojects := \"\"\n\t\tuser := &schema.User{}\n\t\tvar name, email sql.NullString\n\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning user list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tuser.Name = name.String\n\t\tuser.Email = email.String\n\t\tusers = append(users, user)\n\t}\n\treturn users, nil\n}\n\n// AddRole adds a role to a user's role list.\n// Role string is automatically lowercased.\n// Valid roles: admin, support, manager, api, user\n//\n// Returns error if:\n//   - User doesn't exist\n//   - Role is invalid\n//   - User already has the role\nfunc (r *UserRepository) AddRole(\n\tctx context.Context,\n\tusername string,\n\tqueryrole string,\n) error {\n\tnewRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(newRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n\t}\n\tif exists {\n\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n\t}\n\n\troles, _ := json.Marshal(append(user.Roles, newRole))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// RemoveRole removes a role from a user's role list.\n//\n// Special rules:\n//   - Cannot remove \"manager\" role while user has assigned projects\n//   - Must remove all projects first before removing manager role\nfunc (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n\toldRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(oldRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n\t}\n\tif !exists {\n\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n\t}\n\n\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n\t}\n\n\tvar newroles []string\n\tfor _, r := range user.Roles {\n\t\tif r != oldRole {\n\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n\t\t}\n\t}\n\n\tmroles, _ := json.Marshal(newroles)\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// AddProject assigns a project to a manager user.\n// Only users with the \"manager\" role can have assigned projects.\n//\n// Returns error if:\n//   - User doesn't have manager role\n//   - User already manages the project\nfunc (r *UserRepository) AddProject(\n\tctx context.Context,\n\tusername string,\n\tproject string,\n) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n\t}\n\n\tif user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n\t}\n\n\tprojects, _ := json.Marshal(append(user.Projects, project))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n\t}\n\n\tif !user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n\t}\n\n\tvar exists bool\n\tvar newprojects []string\n\tfor _, p := range user.Projects {\n\t\tif p != project {\n\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n\t\t} else {\n\t\t\texists = true\n\t\t}\n\t}\n\n\tif exists {\n\t\tvar result any\n\t\tif len(newprojects) == 0 {\n\t\t\tresult = \"[]\"\n\t\t} else {\n\t\t\tresult, _ = json.Marshal(newprojects)\n\t\t}\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\t\treturn err\n\t\t}\n\t\treturn nil\n\t} else {\n\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n\t}\n}\n\ntype ContextKey string\n\nconst ContextUserKey ContextKey = \"user\"\n\nfunc GetUserFromContext(ctx context.Context) *schema.User {\n\tx := ctx.Value(ContextUserKey)\n\tif x == nil {\n\t\tcclog.Warnf(\"no user retrieved from context\")\n\t\treturn nil\n\t}\n\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n\treturn x.(*schema.User)\n}\n\nfunc (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n\tme := GetUserFromContext(ctx)\n\tif me != nil && me.Username != username &&\n\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"forbidden\")\n\t}\n\n\tuser := &model.User{Username: username}\n\tvar name, email sql.NullString\n\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n\t\t\treturn nil, nil\n\t\t}\n\n\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Name = name.String\n\tuser.Email = email.String\n\treturn user, nil\n}\n","structuredPatch":[{"oldStart":188,"oldLines":6,"newStart":188,"newLines":21,"lines":["   return nil"," }"," ","+// AddUserIfNotExists inserts a user only if the username does not already exist.","+// Uses INSERT OR IGNORE to avoid UNIQUE constraint errors when a user is","+// concurrently created (e.g., by a login while LDAP sync is running).","+// Unlike AddUser, this intentionally skips the deprecated default metrics config insertion.","+func (r *UserRepository) AddUserIfNotExists(user *schema.User) error {","+  rolesJson, _ := json.Marshal(user.Roles)","+  projectsJson, _ := json.Marshal(user.Projects)","+","+  cols := \"username, name, roles, projects, ldap\"","+  _, err := r.DB.Exec(","+    `INSERT OR IGNORE INTO hpc_user (`+cols+`) VALUES (?, ?, ?, ?, ?)`,","+    user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))","+  return err","+}","+"," func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {","   // user contains updated info -> Apply to dbUser","   // --- Simple Name Update ---"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"d8c87700-46e1-4aed-bb74-9a129f330bca","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage auth\n\nimport (\n\t\"fmt\"\n\t\"net\"\n\t\"net/http\"\n\t\"os\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/go-ldap/ldap/v3\"\n)\n\ntype LdapConfig struct {\n\tURL             string `json:\"url\"`\n\tUserBase        string `json:\"user-base\"`\n\tSearchDN        string `json:\"search-dn\"`\n\tUserBind        string `json:\"user-bind\"`\n\tUserFilter      string `json:\"user-filter\"`\n\tUserAttr        string `json:\"username-attr\"`\n\tUIDAttr         string `json:\"uid-attr\"`\n\tSyncInterval    string `json:\"sync-interval\"` // Parsed using time.ParseDuration.\n\tSyncDelOldUsers bool   `json:\"sync-del-old-users\"`\n\n\t// Should a non-existent user be added to the DB if user exists in ldap directory\n\tSyncUserOnLogin   bool `json:\"sync-user-on-login\"`\n\tUpdateUserOnLogin bool `json:\"update-user-on-login\"`\n}\n\ntype LdapAuthenticator struct {\n\tsyncPassword string\n\tUserAttr     string\n\tUIDAttr      string\n}\n\nvar _ Authenticator = (*LdapAuthenticator)(nil)\n\nfunc (la *LdapAuthenticator) Init() error {\n\tla.syncPassword = os.Getenv(\"LDAP_ADMIN_PASSWORD\")\n\tif la.syncPassword == \"\" {\n\t\tcclog.Warn(\"environment variable 'LDAP_ADMIN_PASSWORD' not set (ldap sync will not work)\")\n\t}\n\n\tif Keys.LdapConfig.UserAttr != \"\" {\n\t\tla.UserAttr = Keys.LdapConfig.UserAttr\n\t} else {\n\t\tla.UserAttr = \"gecos\"\n\t}\n\n\tif Keys.LdapConfig.UIDAttr != \"\" {\n\t\tla.UIDAttr = Keys.LdapConfig.UIDAttr\n\t} else {\n\t\tla.UIDAttr = \"uid\"\n\t}\n\n\treturn nil\n}\n\nfunc (la *LdapAuthenticator) CanLogin(\n\tuser *schema.User,\n\tusername string,\n\trw http.ResponseWriter,\n\tr *http.Request,\n) (*schema.User, bool) {\n\tlc := Keys.LdapConfig\n\n\tif user != nil {\n\t\tif user.AuthSource == schema.AuthViaLDAP {\n\t\t\treturn user, true\n\t\t}\n\t} else if lc.SyncUserOnLogin {\n\t\tl, err := la.getLdapConnection(true)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"LDAP connection error\")\n\t\t\treturn nil, false\n\t\t}\n\t\tdefer l.Close()\n\n\t\t// Search for the given username\n\t\tsearchRequest := ldap.NewSearchRequest(\n\t\t\tlc.UserBase,\n\t\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n\t\t\tfmt.Sprintf(\"(&%s(%s=%s))\", lc.UserFilter, la.UIDAttr, ldap.EscapeFilter(username)),\n\t\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil)\n\n\t\tsr, err := l.Search(searchRequest)\n\t\tif err != nil {\n\t\t\tcclog.Warn(err)\n\t\t\treturn nil, false\n\t\t}\n\n\t\tif len(sr.Entries) != 1 {\n\t\t\tcclog.Warn(\"LDAP: User does not exist or too many entries returned\")\n\t\t\treturn nil, false\n\t\t}\n\n\t\tentry := sr.Entries[0]\n\t\tuser = &schema.User{\n\t\t\tUsername:   username,\n\t\t\tName:       entry.GetAttributeValue(la.UserAttr),\n\t\t\tRoles:      []string{schema.GetRoleString(schema.RoleUser)},\n\t\t\tProjects:   make([]string, 0),\n\t\t\tAuthType:   schema.AuthSession,\n\t\t\tAuthSource: schema.AuthViaLDAP,\n\t\t}\n\n\t\thandleLdapUser(user)\n\t\treturn user, true\n\t}\n\n\treturn nil, false\n}\n\nfunc (la *LdapAuthenticator) Login(\n\tuser *schema.User,\n\trw http.ResponseWriter,\n\tr *http.Request,\n) (*schema.User, error) {\n\tl, err := la.getLdapConnection(false)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting ldap connection\")\n\t\treturn nil, err\n\t}\n\tdefer l.Close()\n\n\tuserDn := strings.ReplaceAll(Keys.LdapConfig.UserBind, \"{username}\", ldap.EscapeDN(user.Username))\n\tif err := l.Bind(userDn, r.FormValue(\"password\")); err != nil {\n\t\tcclog.Errorf(\"AUTH/LDAP > Authentication for user %s failed: %v\",\n\t\t\tuser.Username, err)\n\t\treturn nil, fmt.Errorf(\"Authentication failed\")\n\t}\n\n\treturn user, nil\n}\n\nfunc (la *LdapAuthenticator) Sync() error {\n\tconst InDB int = 1\n\tconst InLdap int = 2\n\tconst InBoth int = 3\n\tur := repository.GetUserRepository()\n\tlc := Keys.LdapConfig\n\n\tusers := map[string]int{}\n\tusernames, err := ur.GetLdapUsernames()\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tfor _, username := range usernames {\n\t\tusers[username] = InDB\n\t}\n\n\tl, err := la.getLdapConnection(true)\n\tif err != nil {\n\t\tcclog.Error(\"LDAP connection error\")\n\t\treturn err\n\t}\n\tdefer l.Close()\n\n\tldapResults, err := l.Search(ldap.NewSearchRequest(\n\t\tlc.UserBase,\n\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n\t\tlc.UserFilter,\n\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil))\n\tif err != nil {\n\t\tcclog.Warn(\"LDAP search error\")\n\t\treturn err\n\t}\n\n\tnewnames := map[string]string{}\n\tfor _, entry := range ldapResults.Entries {\n\t\tusername := entry.GetAttributeValue(la.UIDAttr)\n\t\tif username == \"\" {\n\t\t\treturn fmt.Errorf(\"no attribute '%s'\", la.UIDAttr)\n\t\t}\n\n\t\t_, ok := users[username]\n\t\tif !ok {\n\t\t\tusers[username] = InLdap\n\t\t\tnewnames[username] = entry.GetAttributeValue(la.UserAttr)\n\t\t} else {\n\t\t\tusers[username] = InBoth\n\t\t}\n\t}\n\n\tfor username, where := range users {\n\t\tif where == InDB && lc.SyncDelOldUsers {\n\t\t\tif err := ur.DelUser(username); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Delete from DB failed: %v\", username, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tcclog.Debugf(\"sync: remove %v (does not show up in LDAP anymore)\", username)\n\t\t} else if where == InLdap {\n\t\t\tname := newnames[username]\n\n\t\t\tuser := &schema.User{\n\t\t\t\tUsername:   username,\n\t\t\t\tName:       name,\n\t\t\t\tRoles:      []string{schema.GetRoleString(schema.RoleUser)},\n\t\t\t\tProjects:   make([]string, 0),\n\t\t\t\tAuthSource: schema.AuthViaLDAP,\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)\n\t\t\tif err := ur.AddUser(user); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (la *LdapAuthenticator) getLdapConnection(admin bool) (*ldap.Conn, error) {\n\tlc := Keys.LdapConfig\n\tconn, err := ldap.DialURL(lc.URL,\n\t\tldap.DialWithDialer(&net.Dialer{Timeout: 10 * time.Second}))\n\tif err != nil {\n\t\tcclog.Warn(\"LDAP URL dial failed\")\n\t\treturn nil, err\n\t}\n\tconn.SetTimeout(30 * time.Second)\n\n\tif admin {\n\t\tif err := conn.Bind(lc.SearchDN, la.syncPassword); err != nil {\n\t\t\tconn.Close()\n\t\t\tcclog.Warn(\"LDAP connection bind failed\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn conn, nil\n}\n","structuredPatch":[{"oldStart":210,"oldLines":7,"newStart":210,"newLines":7,"lines":["       }"," ","       cclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)","-      if err := ur.AddUser(user); err != nil {","+      if err := ur.AddUserIfNotExists(user); err != nil {","         cclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)","         return err","       }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"3c5446a0-7ebb-4e4d-a628-43081fdf6210","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"7956bad8-245f-4be0-b117-98737a7e1662","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SpSpXZdAKM2U8sZBhacLFJ","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go has been updated successfully."}]},"uuid":"3ffb462b-6cfb-46e9-ae85-f08a006b0ead","timestamp":"2026-03-16T10:13:26.419Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go","oldString":"// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {","newString":"// NodeStateUpdate holds the data needed to update one node's state in a batch operation.\ntype NodeStateUpdate struct {\n\tHostname  string\n\tCluster   string\n\tNodeState *schema.NodeStateDB\n}\n\n// BatchUpdateNodeStates inserts node state rows for multiple nodes in a single transaction.\n// For each node, it looks up (or creates) the node row, then inserts the state row.\n// This reduces lock acquisitions from 2*N to 1 for N nodes.\nfunc (r *NodeRepository) BatchUpdateNodeStates(updates []NodeStateUpdate) error {\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: begin transaction: %w\", err)\n\t}\n\tdefer tx.Rollback()\n\n\tstmtLookup, err := tx.Preparex(\"SELECT id FROM node WHERE hostname = ? AND cluster = ?\")\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare lookup: %w\", err)\n\t}\n\tdefer stmtLookup.Close()\n\n\tstmtInsertNode, err := tx.PrepareNamed(NamedNodeInsert)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare node insert: %w\", err)\n\t}\n\tdefer stmtInsertNode.Close()\n\n\tstmtInsertState, err := tx.PrepareNamed(NamedNodeStateInsert)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare state insert: %w\", err)\n\t}\n\tdefer stmtInsertState.Close()\n\n\tfor _, u := range updates {\n\t\tvar id int64\n\t\tif err := stmtLookup.QueryRow(u.Hostname, u.Cluster).Scan(&id); err != nil {\n\t\t\tif err == sql.ErrNoRows {\n\t\t\t\tsubcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)\n\t\t\t\tif scErr != nil {\n\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: subcluster lookup for '%s' in '%s': %v\", u.Hostname, u.Cluster, scErr)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tnode := schema.NodeDB{\n\t\t\t\t\tHostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,\n\t\t\t\t}\n\t\t\t\tres, insertErr := stmtInsertNode.Exec(&node)\n\t\t\t\tif insertErr != nil {\n\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tid, _ = res.LastInsertId()\n\t\t\t} else {\n\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: lookup node '%s': %v\", u.Hostname, err)\n\t\t\t\tcontinue\n\t\t\t}\n\t\t}\n\n\t\tu.NodeState.NodeID = id\n\t\tif _, err := stmtInsertState.Exec(u.NodeState); err != nil {\n\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert state for '%s': %v\", u.Hostname, err)\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: commit: %w\", err)\n\t}\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sort\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\tnodeRepoOnce     sync.Once\n\tnodeRepoInstance *NodeRepository\n)\n\ntype NodeRepository struct {\n\tDB        *sqlx.DB\n\tstmtCache *sq.StmtCache\n\tcache     *lrucache.Cache\n\tdriver    string\n}\n\nfunc GetNodeRepository() *NodeRepository {\n\tnodeRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tnodeRepoInstance = &NodeRepository{\n\t\t\tDB:     db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache:     lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn nodeRepoInstance\n}\n\n// latestStateCondition returns a squirrel expression that restricts node_state\n// rows to the latest per node_id using a correlated subquery.\n// Requires the query to join node and node_state tables.\nfunc latestStateCondition() sq.Sqlizer {\n\treturn sq.Expr(\n\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n\t)\n}\n\n// applyNodeFilters applies common NodeFilter conditions to a query that joins\n// the node and node_state tables with latestStateCondition.\nfunc applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\treturn query\n}\n\nfunc (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n\tstart := time.Now()\n\n\tRawMetaData := make([]byte, 0)\n\n\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n\t\tcclog.Warn(\"Error while scanning for node metadata\")\n\t\treturn nil, err\n\t}\n\n\tif len(RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tMetaData := make(map[string]string)\n\n\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn MetaData, nil\n}\n\nfunc (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tvar err error\n\t\tvar meta map[string]string\n\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n\t\t\treturn nil, err\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\nfunc (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.id = ?\", id).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n\t\tif metaErr != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n\t\t\treturn nil, metaErr\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\n// const NamedNodeInsert string = `\n// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n//\n//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n\nconst NamedNodeInsert string = `\nINSERT INTO node (hostname, cluster, subcluster)\n\tVALUES (:hostname, :cluster, :subcluster);`\n\n// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n// from a nodestate update from the job scheduler.\nfunc (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n\tvar err error\n\n\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\tnode.ID, err = res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\n\treturn node.ID, nil\n}\n\nconst NamedNodeStateInsert string = `\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n\n// TODO: Add real Monitoring Health State\n\n// UpdateNodeState is called from the Node REST API to add a row in the node state table\nfunc (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n\tvar id int64\n\n\tif err := sq.Select(\"id\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n\t\tQueryRow().Scan(&id); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tnode := schema.NodeDB{\n\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n\t\t\t}\n\t\t\tid, err = r.AddNode(&node)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n\t\t\treturn err\n\t\t}\n\t}\n\n\tnodeState.NodeID = id\n\n\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n\t\treturn err\n\t}\n\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n// \t\treturn err\n// \t}\n//\n// \treturn nil\n// }\n\n// NodeStateWithNode combines a node state row with denormalized node info.\ntype NodeStateWithNode struct {\n\tID              int64  `db:\"id\"`\n\tTimeStamp       int64  `db:\"time_stamp\"`\n\tNodeState       string `db:\"node_state\"`\n\tHealthState     string `db:\"health_state\"`\n\tHealthMetrics   string `db:\"health_metrics\"`\n\tCpusAllocated   int    `db:\"cpus_allocated\"`\n\tMemoryAllocated int64  `db:\"memory_allocated\"`\n\tGpusAllocated   int    `db:\"gpus_allocated\"`\n\tJobsRunning     int    `db:\"jobs_running\"`\n\tHostname        string `db:\"hostname\"`\n\tCluster         string `db:\"cluster\"`\n\tSubCluster      string `db:\"subcluster\"`\n}\n\n// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n// joined with node info for denormalized archiving.\nfunc (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n\trows, err := sq.Select(\n\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t).\n\t\tFrom(\"node_state\").\n\t\tJoin(\"node ON node_state.node_id = node.id\").\n\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n\t\tRunWith(r.DB).Query()\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tvar result []NodeStateWithNode\n\tfor rows.Next() {\n\t\tvar ns NodeStateWithNode\n\t\tvar healthMetrics sql.NullString\n\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n\t\t\t&ns.HealthState, &healthMetrics,\n\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tns.HealthMetrics = healthMetrics.String\n\t\tresult = append(result, ns)\n\t}\n\treturn result, nil\n}\n\n// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n// but always preserves the row with the latest timestamp per node_id.\nfunc (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t`DELETE FROM node_state WHERE time_stamp < ?\n\t\t AND id NOT IN (\n\t\t   SELECT id FROM node_state ns2\n\t\t   WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n\t\t )`,\n\t\tcutoff,\n\t)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn res.RowsAffected()\n}\n\nfunc (r *NodeRepository) DeleteNode(id int64) error {\n\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted node '%d' from DB\", id)\n\treturn nil\n}\n\n// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.\nfunc (r *NodeRepository) CountNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n) (int, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column, \"COUNT(*) as count\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()).\n\t\t\tGroupBy(column))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, &timestamp, &count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,\n\tpage *model.PageRequest,\n) ([]string, map[string]string, int, bool, error) {\n\t// Init Return Vars\n\tnodes := make([]string, 0)\n\tstateMap := make(map[string]string)\n\tcountNodes := 0\n\thasNextPage := false\n\n\t// Build Filters\n\tqueryFilters := make([]*model.NodeFilter, 0)\n\tif cluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n\t}\n\tif subCluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n\t}\n\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n\t}\n\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n\t\tqueryState := schema.SchedulerState(stateFilter)\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n\t}\n\t// if healthFilter != \"all\" {\n\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n\t// }\n\n\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n\tvar backupItems int\n\tif stateFilter == \"notindb\" {\n\t\tbackupItems = page.ItemsPerPage\n\t\tpage.ItemsPerPage = -1\n\t}\n\n\t// Query Nodes From DB\n\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n\tif serr != nil {\n\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n\t\treturn nil, nil, 0, false, serr\n\t}\n\n\t// Intermediate Node Result Info\n\tfor _, node := range rawNodes {\n\t\tif node == nil {\n\t\t\tcontinue\n\t\t}\n\t\tnodes = append(nodes, node.Hostname)\n\t\tstateMap[node.Hostname] = string(node.NodeState)\n\t}\n\n\t// Special Case: Find Nodes not in DB node table but in metricStore only\n\tif stateFilter == \"notindb\" {\n\t\t// Reapply Original Paging\n\t\tpage.ItemsPerPage = backupItems\n\t\t// Get Nodes From Topology\n\t\tvar topoNodes []string\n\t\tif subCluster != \"\" {\n\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\t\ttopoNodes = scNodes.PrintList()\n\t\t} else {\n\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n\t\t\t}\n\t\t}\n\t\t// Compare to all nodes from cluster/subcluster in DB\n\t\tvar missingNodes []string\n\t\tfor _, scanNode := range topoNodes {\n\t\t\tif !slices.Contains(nodes, scanNode) {\n\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n\t\t\t}\n\t\t}\n\t\t// Filter nodes by name\n\t\tif nodeFilter != \"\" {\n\t\t\tfilteredNodesByName := []string{}\n\t\t\tfor _, missingNode := range missingNodes {\n\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n\t\t\t\t}\n\t\t\t}\n\t\t\tmissingNodes = filteredNodesByName\n\t\t}\n\t\t// Sort Missing Nodes Alphanumerically\n\t\tslices.Sort(missingNodes)\n\t\t// Total Missing\n\t\tcountNodes = len(missingNodes)\n\t\t// Apply paging\n\t\tif countNodes > page.ItemsPerPage {\n\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\t\tend := start + page.ItemsPerPage\n\t\t\tif end > countNodes {\n\t\t\t\tend = countNodes\n\t\t\t\thasNextPage = false\n\t\t\t} else {\n\t\t\t\thasNextPage = true\n\t\t\t}\n\t\t\tnodes = missingNodes[start:end]\n\t\t} else {\n\t\t\tnodes = missingNodes\n\t\t}\n\n\t} else {\n\t\t// DB Nodes: Count and derive hasNextPage from count\n\t\tvar cerr error\n\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n\t\tif cerr != nil {\n\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n\t\t\treturn nil, nil, 0, false, cerr\n\t\t}\n\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n\t}\n\n\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n\tif stateFilter == \"all\" && countNodes == 0 {\n\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n\t}\n\n\treturn nodes, stateMap, countNodes, hasNextPage, nil\n}\n\nfunc AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn AccessCheckWithUser(user, query)\n}\n\nfunc AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n\t// \treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n\t\treturn query, nil\n\tdefault: // No known Role: No Access, return error\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\nfunc getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n\t// 0) Init additional vars\n\thasNextPage := false\n\ttotalNodes := 0\n\n\t// 1) Get list of all nodes\n\tvar topolNodes []string\n\tif subCluster != \"\" {\n\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\ttopolNodes = scNodes.PrintList()\n\t} else {\n\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n\t\t}\n\t}\n\n\t// 2) Filter nodes\n\tif nodeFilter != \"\" {\n\t\tfilteredNodes := []string{}\n\t\tfor _, node := range topolNodes {\n\t\t\tif strings.Contains(node, nodeFilter) {\n\t\t\t\tfilteredNodes = append(filteredNodes, node)\n\t\t\t}\n\t\t}\n\t\ttopolNodes = filteredNodes\n\t}\n\n\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n\ttotalNodes = len(topolNodes)\n\tsort.Strings(topolNodes)\n\n\t// 3) Apply paging\n\tif len(topolNodes) > page.ItemsPerPage {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tend := start + page.ItemsPerPage\n\t\tif end >= len(topolNodes) {\n\t\t\tend = len(topolNodes)\n\t\t\thasNextPage = false\n\t\t} else {\n\t\t\thasNextPage = true\n\t\t}\n\t\ttopolNodes = topolNodes[start:end]\n\t}\n\n\treturn topolNodes, totalNodes, hasNextPage\n}\n","structuredPatch":[{"oldStart":244,"oldLines":6,"newStart":244,"newLines":77,"lines":["   return nil"," }"," ","+// NodeStateUpdate holds the data needed to update one node's state in a batch operation.","+type NodeStateUpdate struct {","+  Hostname  string","+  Cluster   string","+  NodeState *schema.NodeStateDB","+}","+","+// BatchUpdateNodeStates inserts node state rows for multiple nodes in a single transaction.","+// For each node, it looks up (or creates) the node row, then inserts the state row.","+// This reduces lock acquisitions from 2*N to 1 for N nodes.","+func (r *NodeRepository) BatchUpdateNodeStates(updates []NodeStateUpdate) error {","+  tx, err := r.DB.Beginx()","+  if err != nil {","+    return fmt.Errorf(\"BatchUpdateNodeStates: begin transaction: %w\", err)","+  }","+  defer tx.Rollback()","+","+  stmtLookup, err := tx.Preparex(\"SELECT id FROM node WHERE hostname = ? AND cluster = ?\")","+  if err != nil {","+    return fmt.Errorf(\"BatchUpdateNodeStates: prepare lookup: %w\", err)","+  }","+  defer stmtLookup.Close()","+","+  stmtInsertNode, err := tx.PrepareNamed(NamedNodeInsert)","+  if err != nil {","+    return fmt.Errorf(\"BatchUpdateNodeStates: prepare node insert: %w\", err)","+  }","+  defer stmtInsertNode.Close()","+","+  stmtInsertState, err := tx.PrepareNamed(NamedNodeStateInsert)","+  if err != nil {","+    return fmt.Errorf(\"BatchUpdateNodeStates: prepare state insert: %w\", err)","+  }","+  defer stmtInsertState.Close()","+","+  for _, u := range updates {","+    var id int64","+    if err := stmtLookup.QueryRow(u.Hostname, u.Cluster).Scan(&id); err != nil {","+      if err == sql.ErrNoRows {","+        subcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)","+        if scErr != nil {","+          cclog.Errorf(\"BatchUpdateNodeStates: subcluster lookup for '%s' in '%s': %v\", u.Hostname, u.Cluster, scErr)","+          continue","+        }","+        node := schema.NodeDB{","+          Hostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,","+        }","+        res, insertErr := stmtInsertNode.Exec(&node)","+        if insertErr != nil {","+          cclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)","+          continue","+        }","+        id, _ = res.LastInsertId()","+      } else {","+        cclog.Errorf(\"BatchUpdateNodeStates: lookup node '%s': %v\", u.Hostname, err)","+        continue","+      }","+    }","+","+    u.NodeState.NodeID = id","+    if _, err := stmtInsertState.Exec(u.NodeState); err != nil {","+      cclog.Errorf(\"BatchUpdateNodeStates: insert state for '%s': %v\", u.Hostname, err)","+    }","+  }","+","+  if err := tx.Commit(); err != nil {","+    return fmt.Errorf(\"BatchUpdateNodeStates: commit: %w\", err)","+  }","+  return nil","+}","+"," // func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {"," // \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {"," // \t\tcclog.Errorf(\"error while updating node '%d'\", id)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"7956bad8-245f-4be0-b117-98737a7e1662","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"9006a851-8e89-47d0-8cc0-6a71f7579d4c","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SfYezs5gWfSaJwFBvZwTQm","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"d3f9fff6-c5c7-4b6a-9ccf-be1ce553c3d1","timestamp":"2026-03-16T10:13:42.820Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)","newString":"\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":345,"oldLines":6,"newStart":345,"newLines":7,"lines":["   repo := repository.GetNodeRepository()","   requestReceived := time.Now().Unix()"," ","+  updates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))","   for _, node := range req.Nodes {","     state := determineState(node.States)","     nodeState := schema.NodeStateDB{"]},{"oldStart":356,"oldLines":11,"newStart":357,"newLines":15,"lines":["       HealthState:     schema.MonitoringStateFull,","       JobsRunning:     node.JobsRunning,","     }","+    updates = append(updates, repository.NodeStateUpdate{","+      Hostname:  node.Hostname,","+      Cluster:   req.Cluster,","+      NodeState: &nodeState,","+    })","+  }"," ","-    if err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {","-      cclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",","-        node.Hostname, req.Cluster, err)","-    }","+  if err := repo.BatchUpdateNodeStates(updates); err != nil {","+    cclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)","   }"," ","   cclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"9006a851-8e89-47d0-8cc0-6a71f7579d4c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d3f9fff6-c5c7-4b6a-9ccf-be1ce553c3d1","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01XW1TDmuGSvp8mtAm3TgEbp","type":"message","role":"assistant","content":[{"type":"text","text":"Now update the REST handler to also batch the DB part:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":807,"cache_read_input_tokens":70459,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":807},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6aiHcgkCnEMhSsh7iXd","type":"assistant","uuid":"4a840c99-f10e-4a2a-88a9-26722953097a","timestamp":"2026-03-16T10:13:46.319Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"4a840c99-f10e-4a2a-88a9-26722953097a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01XW1TDmuGSvp8mtAm3TgEbp","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KWgT3DMBg4wm69ijcQDpSf","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go","old_string":"\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     healthState,\n\t\t\tHealthMetrics:   healthMetrics,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))","new_string":"\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     healthState,\n\t\t\tHealthMetrics:   healthMetrics,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":807,"cache_read_input_tokens":70459,"output_tokens":912,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":807,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6aiHcgkCnEMhSsh7iXd","type":"assistant","uuid":"a9780779-40bc-4130-84ef-769ec8d703e9","timestamp":"2026-03-16T10:13:53.745Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"fmt\"\n\t\"maps\"\n\t\"net/http\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\ntype UpdateNodeStatesRequest struct {\n\tNodes   []schema.NodePayload `json:\"nodes\"`\n\tCluster string               `json:\"cluster\" example:\"fritz\"`\n}\n\n// metricListToNames converts a map of metric configurations to a list of metric names\nfunc metricListToNames(metricList map[string]*schema.Metric) []string {\n\tnames := make([]string, 0, len(metricList))\n\tfor name := range metricList {\n\t\tnames = append(names, name)\n\t}\n\treturn names\n}\n\n// this routine assumes that only one of them exists per node\nfunc determineState(states []string) schema.SchedulerState {\n\tfor _, state := range states {\n\t\tswitch strings.ToLower(state) {\n\t\tcase \"allocated\":\n\t\t\treturn schema.NodeStateAllocated\n\t\tcase \"reserved\":\n\t\t\treturn schema.NodeStateReserved\n\t\tcase \"idle\":\n\t\t\treturn schema.NodeStateIdle\n\t\tcase \"down\":\n\t\t\treturn schema.NodeStateDown\n\t\tcase \"mixed\":\n\t\t\treturn schema.NodeStateMixed\n\t\t}\n\t}\n\n\treturn schema.NodeStateUnknown\n}\n\n// updateNodeStates godoc\n// @summary     Deliver updated Slurm node states\n// @tags Nodestates\n// @description Returns a JSON-encoded list of users.\n// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n// @produce     json\n// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/nodestats/ [post]\nfunc (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n\t// Parse request body\n\treq := UpdateNodeStatesRequest{}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n\t\t\thttp.StatusBadRequest, rw)\n\t\treturn\n\t}\n\trequestReceived := time.Now().Unix()\n\trepo := repository.GetNodeRepository()\n\n\tm := make(map[string][]string)\n\tmetricNames := make(map[string][]string)\n\thealthResults := make(map[string]metricstore.HealthCheckResult)\n\n\tstartMs := time.Now()\n\n\t// Step 1: Build nodeList and metricList per subcluster\n\tfor _, node := range req.Nodes {\n\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n\t\t\tm[sc] = append(m[sc], node.Hostname)\n\t\t}\n\t}\n\n\tfor sc := range m {\n\t\tif sc != \"\" {\n\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n\t\t\tmetricNames[sc] = metricListToNames(metricList)\n\t\t}\n\t}\n\n\t// Step 2: Determine which metric store to query and perform health check\n\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n\tif err != nil {\n\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n\t} else {\n\t\tfor sc, nl := range m {\n\t\t\tif sc != \"\" {\n\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n\t\t\t\t\tmaps.Copy(healthResults, results)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     healthState,\n\t\t\tHealthMetrics:   healthMetrics,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n}\n","structuredPatch":[{"oldStart":116,"oldLines":6,"newStart":116,"newLines":7,"lines":["   cclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))","   startDB := time.Now()"," ","+  updates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))","   for _, node := range req.Nodes {","     state := determineState(node.States)","     healthState := schema.MonitoringStateFailed"]},{"oldStart":134,"oldLines":11,"newStart":135,"newLines":15,"lines":["       HealthMetrics:   healthMetrics,","       JobsRunning:     node.JobsRunning,","     }","+    updates = append(updates, repository.NodeStateUpdate{","+      Hostname:  node.Hostname,","+      Cluster:   req.Cluster,","+      NodeState: &nodeState,","+    })","+  }"," ","-    if err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {","-      cclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",","-        node.Hostname, req.Cluster, err)","-    }","+  if err := repo.BatchUpdateNodeStates(updates); err != nil {","+    cclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)","   }"," ","   cclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"a9780779-40bc-4130-84ef-769ec8d703e9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}","new_string":"func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Transfer cached jobs to main table and clear cache in a single transaction.\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer tx.Rollback()\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = tx.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. 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AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":955,"cache_read_input_tokens":71266,"output_tokens":1692,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":955,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6aj64SNo9N1xgzrnbah","type":"assistant","uuid":"5d65a99e-fbc1-45d5-9fce-5aa84524dc4d","timestamp":"2026-03-16T10:14:16.085Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}","newString":"func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Transfer cached jobs to main table and clear cache in a single transaction.\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer tx.Rollback()\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = tx.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"encoding/json\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst NamedJobCacheInsert string = `INSERT INTO job_cache (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n);`\n\nconst NamedJobInsert string = `INSERT INTO job (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n);`\n\n// InsertJobDirect inserts a job directly into the job table (not job_cache).\n// Use this when the returned ID will be used for operations on the job table\n// (e.g., adding tags), or for imported jobs that are already completed.\nfunc (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = r.DB.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}\n\n// TransferCachedJobToMain moves a job from job_cache to the job table.\n// Caller must hold r.Mutex. Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\treturn newID, nil\n}\n\n// Start inserts a new job in the table, returning the unique job ID.\n// Statistics are not transfered!\nfunc (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJob(job)\n}\n\n// StartDirect inserts a new job directly into the job table (not job_cache).\n// Use this when the returned ID will immediately be used for job table\n// operations such as adding tags.\nfunc (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJobDirect(job)\n}\n\n// Stop updates the job with the database id jobId using the provided arguments.\nfunc (r *JobRepository) Stop(\n\tjobID int64,\n\tduration int32,\n\tstate schema.JobState,\n\tmonitoringStatus int32,\n) (err error) {\n\t// Invalidate cache entries as job state is changing\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n\n\tstmt := sq.Update(\"job\").\n\t\tSet(\"job_state\", state).\n\t\tSet(\"duration\", duration).\n\t\tSet(\"monitoring_status\", monitoringStatus).\n\t\tWhere(\"job.id = ?\", jobID)\n\n\t_, err = stmt.RunWith(r.stmtCache).Exec()\n\treturn err\n}\n","structuredPatch":[{"oldStart":92,"oldLines":20,"newStart":92,"newLines":33,"lines":["     jobs = append(jobs, job)","   }"," ","+  // Transfer cached jobs to main table and clear cache in a single transaction.","+  tx, err := r.DB.Beginx()","+  if err != nil {","+    cclog.Errorf(\"SyncJobs: begin transaction: %v\", err)","+    return nil, err","+  }","+  defer tx.Rollback()","+","   // Use INSERT OR IGNORE to skip jobs already transferred by the stop path","-  _, err = r.DB.Exec(","+  _, err = tx.Exec(","     \"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")","   if err != nil {","     cclog.Errorf(\"Error while Job sync: %v\", err)","     return nil, err","   }"," ","-  _, err = r.DB.Exec(\"DELETE FROM job_cache\")","+  _, err = tx.Exec(\"DELETE FROM job_cache\")","   if err != nil {","     cclog.Errorf(\"Error while Job cache clean: %v\", err)","     return nil, err","   }"," ","+  if err := tx.Commit(); err != nil {","+    cclog.Errorf(\"SyncJobs: commit transaction: %v\", err)","+    return nil, err","+  }","+","   // Resolve correct job.id from the job table. The IDs read from job_cache","   // are from a different auto-increment sequence and must not be used to","   // query the job table."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"5d65a99e-fbc1-45d5-9fce-5aa84524dc4d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"3775dc48-712d-4527-831d-4b8ba6f366d9","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014HMVkUZgUEv2F5FVEvG9yC","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"ee24031c-69cc-4429-8b76-a49bdc1e244e","timestamp":"2026-03-16T10:14:25.663Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"type NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t}\n}","newString":"type NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n\t// when the database is under contention.\n\tjobSem chan struct{}\n\t// nodeSem limits concurrent NATS node state processing.\n\tnodeSem chan struct{}\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobSem:        make(chan struct{}, 8),\n\t\tnodeSem:       make(chan struct{}, 2),\n\t}\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":64,"oldLines":12,"newStart":64,"newLines":19,"lines":["   // RepositoryMutex protects job creation operations from race conditions","   // when checking for duplicate jobs during startJob calls.","   RepositoryMutex sync.Mutex","+  // jobSem limits concurrent NATS job event processing to prevent goroutine accumulation","+  // when the database is under contention.","+  jobSem chan struct{}","+  // nodeSem limits concurrent NATS node state processing.","+  nodeSem chan struct{}"," }"," "," // NewNatsAPI creates a new NatsAPI instance with default dependencies."," func NewNatsAPI() *NatsAPI {","   return &NatsAPI{","     JobRepository: repository.GetJobRepository(),","+    jobSem:        make(chan struct{}, 8),","+    nodeSem:       make(chan struct{}, 2),","   }"," }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"3775dc48-712d-4527-831d-4b8ba6f366d9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"ee24031c-69cc-4429-8b76-a49bdc1e244e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01BAi9cdLpY9ze3kti1EgJd8","type":"message","role":"assistant","content":[{"type":"text","text":"Now add semaphore acquire/release to `handleJobEvent` and `handleNodeState`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":618,"cache_read_input_tokens":73957,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":618},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6amSZHFncC3Jwm7TmpJ","type":"assistant","uuid":"493fc493-c27b-477d-a40e-229856dd3a25","timestamp":"2026-03-16T10:14:29.415Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"493fc493-c27b-477d-a40e-229856dd3a25","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01BAi9cdLpY9ze3kti1EgJd8","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01F343pD8uwJ3KXtR8moYRXc","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","old_string":"func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","new_string":"func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tapi.jobSem <- struct{}{}\n\tdefer func() { <-api.jobSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":618,"cache_read_input_tokens":73957,"output_tokens":330,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":618,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6amSZHFncC3Jwm7TmpJ","type":"assistant","uuid":"1ef8186a-a04a-482e-b9a5-3c346596f2fc","timestamp":"2026-03-16T10:14:31.960Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"1ef8186a-a04a-482e-b9a5-3c346596f2fc","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01F343pD8uwJ3KXtR8moYRXc","toolUseID":"toolu_01F343pD8uwJ3KXtR8moYRXc","timestamp":"2026-03-16T10:14:31.972Z","uuid":"0e01642d-c7a2-434b-86e8-aa9d2671dea5","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"1ef8186a-a04a-482e-b9a5-3c346596f2fc","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01F343pD8uwJ3KXtR8moYRXc","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"56d57da3-6e7b-40c4-8d7c-511fcb0411d5","timestamp":"2026-03-16T10:14:31.972Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","newString":"func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tapi.jobSem <- struct{}{}\n\tdefer func() { <-api.jobSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n\t// when the database is under contention.\n\tjobSem chan struct{}\n\t// nodeSem limits concurrent NATS node state processing.\n\tnodeSem chan struct{}\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobSem:        make(chan struct{}, 8),\n\t\tnodeSem:       make(chan struct{}, 2),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":144,"oldLines":6,"newStart":144,"newLines":9,"lines":[" //"," // Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000"," func (api *NatsAPI) handleJobEvent(subject string, data []byte) {","+  api.jobSem <- struct{}{}","+  defer func() { <-api.jobSem }()","+","   if len(data) == 0 {","     cclog.Warnf(\"NATS %s: received empty message\", subject)","     return"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"1ef8186a-a04a-482e-b9a5-3c346596f2fc","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"56d57da3-6e7b-40c4-8d7c-511fcb0411d5","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_018GDq8pzsSNa7nJereCUUuJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017JDESo1Lkjh5SWMU35gSHD","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","old_string":"func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","new_string":"func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tapi.nodeSem <- struct{}{}\n\tdefer func() { <-api.nodeSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":374,"cache_read_input_tokens":74575,"output_tokens":309,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":374,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6amuTHvcstiLQtphpTt","type":"assistant","uuid":"d7e94c87-1f2a-4e1b-9161-c8c4ea41292f","timestamp":"2026-03-16T10:14:36.687Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d7e94c87-1f2a-4e1b-9161-c8c4ea41292f","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_017JDESo1Lkjh5SWMU35gSHD","toolUseID":"toolu_017JDESo1Lkjh5SWMU35gSHD","timestamp":"2026-03-16T10:14:36.702Z","uuid":"f81a86b2-4d61-41bf-b4ea-3a85809dacee","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d7e94c87-1f2a-4e1b-9161-c8c4ea41292f","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017JDESo1Lkjh5SWMU35gSHD","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"a9a61ff3-ead3-48d1-807b-e2a14ab45568","timestamp":"2026-03-16T10:14:36.702Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","newString":"func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tapi.nodeSem <- struct{}{}\n\tdefer func() { <-api.nodeSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n\t// when the database is under contention.\n\tjobSem chan struct{}\n\t// nodeSem limits concurrent NATS node state processing.\n\tnodeSem chan struct{}\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobSem:        make(chan struct{}, 8),\n\t\tnodeSem:       make(chan struct{}, 2),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tapi.jobSem <- struct{}{}\n\tdefer func() { <-api.jobSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":387,"oldLines":6,"newStart":387,"newLines":9,"lines":[" //"," // Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000"," func (api *NatsAPI) handleNodeState(subject string, data []byte) {","+  api.nodeSem <- struct{}{}","+  defer func() { <-api.nodeSem }()","+","   if len(data) == 0 {","     cclog.Warnf(\"NATS %s: received empty message\", subject)","     return"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"d7e94c87-1f2a-4e1b-9161-c8c4ea41292f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"a9a61ff3-ead3-48d1-807b-e2a14ab45568","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01N5TaR6cLdSMWNQuMeYKmWB","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me verify the build compiles:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":353,"cache_read_input_tokens":74949,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":353},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6anFfDoyRxTbWofrkvV","type":"assistant","uuid":"6362acdd-a63c-4cc8-81f5-6b956b1dcd7b","timestamp":"2026-03-16T10:14:40.520Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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diff --git a/a1/e2931d4deb/0/metadata.json b/a1/e2931d4deb/0/metadata.json
new file mode 100644
index 00000000..096f44be
--- /dev/null
+++ b/a1/e2931d4deb/0/metadata.json
@@ -0,0 +1,41 @@
+{
+  "cli_version": "0.5.0",
+  "checkpoint_id": "a1e2931d4deb",
+  "session_id": "3a41c7a4-abf8-484b-96ae-ee5618eea5ba",
+  "strategy": "manual-commit",
+  "created_at": "2026-03-16T10:17:47.731375Z",
+  "branch": "hotfix",
+  "checkpoints_count": 1,
+  "files_touched": [
+    "internal/api/nats.go",
+    "internal/api/node.go",
+    "internal/auth/ldap.go",
+    "internal/repository/config.go",
+    "internal/repository/dbConnection.go",
+    "internal/repository/jobCreate.go",
+    "internal/repository/node.go",
+    "internal/repository/user.go",
+    "pkg/archive/sqliteBackend.go"
+  ],
+  "agent": "Claude Code",
+  "turn_id": "72ee57b2c2ee",
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+  },
+  "session_metrics": {
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+  },
+  "initial_attribution": {
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+    "human_added": 0,
+    "human_modified": 0,
+    "human_removed": 0,
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+    "agent_percentage": 100
+  }
+}
diff --git a/a1/e2931d4deb/metadata.json b/a1/e2931d4deb/metadata.json
new file mode 100644
index 00000000..080de6ed
--- /dev/null
+++ b/a1/e2931d4deb/metadata.json
@@ -0,0 +1,33 @@
+{
+  "cli_version": "0.5.0",
+  "checkpoint_id": "a1e2931d4deb",
+  "strategy": "manual-commit",
+  "branch": "hotfix",
+  "checkpoints_count": 1,
+  "files_touched": [
+    "internal/api/nats.go",
+    "internal/api/node.go",
+    "internal/auth/ldap.go",
+    "internal/repository/config.go",
+    "internal/repository/dbConnection.go",
+    "internal/repository/jobCreate.go",
+    "internal/repository/node.go",
+    "internal/repository/user.go",
+    "pkg/archive/sqliteBackend.go"
+  ],
+  "sessions": [
+    {
+      "metadata": "/a1/e2931d4deb/0/metadata.json",
+      "transcript": "/a1/e2931d4deb/0/full.jsonl",
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diff --git a/a4/948d0fe7a3/0/content_hash.txt b/a4/948d0fe7a3/0/content_hash.txt
new file mode 100644
index 00000000..94fb0f8d
--- /dev/null
+++ b/a4/948d0fe7a3/0/content_hash.txt
@@ -0,0 +1 @@
+sha256:81d8f703d3b2406a36db99f3aa528e077caea3e3fbd840a93d9dc46eba692560
\ No newline at end of file
diff --git a/a4/948d0fe7a3/0/full.jsonl b/a4/948d0fe7a3/0/full.jsonl
new file mode 100644
index 00000000..9c925016
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+{"parentUuid":"ff3ad64d-8fde-42b3-8f32-b9ad7dbcfee9","isSidechain":false,"promptId":"1f9a308d-4f21-4356-b5bf-f3e2b65356b7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CQgso9YiyF2FSUbGubnHQY","type":"tool_result","content":"   183→\n   184→// handleError writes a standardized JSON error response with the given status code.\n   185→// It logs the error at WARN level and ensures proper Content-Type headers are set.\n   186→func handleError(err error, statusCode int, rw http.ResponseWriter) {\n   187→\tcclog.Warnf(\"REST ERROR : %s\", err.Error())\n   188→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   189→\trw.WriteHeader(statusCode)\n   190→\tif err := json.NewEncoder(rw).Encode(ErrorResponse{\n   191→\t\tStatus: http.StatusText(statusCode),\n   192→\t\tError:  err.Error(),\n   193→\t}); err != nil {\n   194→\t\tcclog.Errorf(\"Failed to encode error response: %v\", err)\n   195→\t}\n   196→}\n   197→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"872b3a49-a342-42eb-8cb7-1ca7ff6ecd2a","timestamp":"2026-03-16T14:38:31.700Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/rest.go","content":"\n// handleError writes a standardized JSON error response with the given status code.\n// It logs the error at WARN level and ensures proper Content-Type headers are set.\nfunc handleError(err error, statusCode int, rw http.ResponseWriter) {\n\tcclog.Warnf(\"REST ERROR : %s\", err.Error())\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(statusCode)\n\tif err := json.NewEncoder(rw).Encode(ErrorResponse{\n\t\tStatus: http.StatusText(statusCode),\n\t\tError:  err.Error(),\n\t}); err != nil {\n\t\tcclog.Errorf(\"Failed to encode error response: %v\", err)\n\t}\n}\n","numLines":15,"startLine":183,"totalLines":497}},"sourceToolAssistantUUID":"ff3ad64d-8fde-42b3-8f32-b9ad7dbcfee9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"0fb73ab2-5576-4b68-ae4b-f176fcec6e42","version":"2.1.76","gitBranch":"hotfix","slug":"expressive-yawning-boole"}
+{"parentUuid":"872b3a49-a342-42eb-8cb7-1ca7ff6ecd2a","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_01DRwh3HTxi1nBHHXCCdnZ3f","type":"message","role":"assistant","content":[{"type":"text","text":"Use `runtime.Callers` to capture the call site. The simplest approach is to add caller info using `runtime.Caller(1)`:\n\n```go\nimport \"runtime\"\n\nfunc handleError(err error, statusCode int, rw http.ResponseWriter) {\n    _, file, line, _ := runtime.Caller(1)\n    cclog.Warnf(\"REST ERROR (%s:%d): %s\", filepath.Base(file), line, err.Error())\n    // ...\n}\n```\n\nThis gives you the immediate caller's file and line number in every log message, e.g.:\n```\nREST ERROR (rest.go:342): job not found\n```\n\n**Alternative: use `%+v` with `errors` wrapping** — callers wrap their errors with context before passing them in:\n\n```go\nhandleError(fmt.Errorf(\"startJob: %w\", err), http.StatusBadRequest, rw)\n```\n\nThis approach puts the context in the error message itself, which also shows up in the HTTP response body — useful for API consumers too.\n\n**Which to choose:**\n- `runtime.Caller(1)` — zero changes to call sites, automatic, log-only\n- Error wrapping — requires updating each call site but enriches both logs and API responses"}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":636,"cache_read_input_tokens":19888,"output_tokens":298,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":636,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6vuX5wdtwtAko88r9Xg","type":"assistant","uuid":"da3e7fac-f7dd-4908-bdda-770637f51e0c","timestamp":"2026-03-16T14:38:39.072Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"0fb73ab2-5576-4b68-ae4b-f176fcec6e42","version":"2.1.76","gitBranch":"hotfix","slug":"expressive-yawning-boole"}
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+{"parentUuid":"71111264-ca25-456a-b088-6df0bd6fb0ed","isSidechain":false,"promptId":"e577f40b-2d77-4bab-b2c5-e70d30b702c8","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Ke9K4CiK8ExQiBrPduBZZE","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/rest.go has been updated successfully."}]},"uuid":"d55a666c-44f6-4f81-a8c2-8799d34720ee","timestamp":"2026-03-16T14:41:02.217Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/rest.go","oldString":"\t\"os\"\n\t\"path/filepath\"\n\t\"strings\"\n\t\"sync\"","newString":"\t\"os\"\n\t\"path/filepath\"\n\t\"runtime\"\n\t\"strings\"\n\t\"sync\"","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package api provides the REST API layer for ClusterCockpit.\n// It handles HTTP requests for job management, user administration,\n// cluster queries, node state updates, and metrics storage operations.\n// The API supports both JWT token authentication and session-based authentication.\npackage api\n\nimport (\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"io\"\n\t\"net/http\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"strings\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t\"github.com/go-chi/chi/v5\"\n)\n\n// @title                      ClusterCockpit REST API\n// @version                    1.0.0\n// @description                API for batch job control.\n\n// @contact.name               ClusterCockpit Project\n// @contact.url                https://github.com/ClusterCockpit\n// @contact.email              support@clustercockpit.org\n\n// @license.name               MIT License\n// @license.url                https://opensource.org/licenses/MIT\n\n// @host                       localhost:8080\n\n// @securityDefinitions.apikey ApiKeyAuth\n// @in                         header\n// @name                       X-Auth-Token\n\nconst (\n\tnoticeFilePath  = \"./var/notice.txt\"\n\tnoticeFilePerms = 0o644\n\tmaxNoticeLength = 10000 // Maximum allowed notice content length in characters\n)\n\ntype RestAPI struct {\n\tJobRepository   *repository.JobRepository\n\tAuthentication  *auth.Authentication\n\tMachineStateDir string\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob API calls.\n\t// It prevents concurrent job starts with the same jobId/cluster/startTime\n\t// from creating duplicate entries in the database.\n\tRepositoryMutex sync.Mutex\n}\n\n// New creates and initializes a new RestAPI instance with configured dependencies.\nfunc New() *RestAPI {\n\treturn &RestAPI{\n\t\tJobRepository:   repository.GetJobRepository(),\n\t\tMachineStateDir: config.Keys.MachineStateDir,\n\t\tAuthentication:  auth.GetAuthInstance(),\n\t}\n}\n\n// MountAPIRoutes registers REST API endpoints for job and cluster management.\n// These routes use JWT token authentication via the X-Auth-Token header.\nfunc (api *RestAPI) MountAPIRoutes(r chi.Router) {\n\t// REST API Uses TokenAuth\n\t// User List\n\tr.Get(\"/users/\", api.getUsers)\n\t// Cluster List\n\tr.Get(\"/clusters/\", api.getClusters)\n\t// Slurm node state\n\tr.Post(\"/nodestate/\", api.updateNodeStates)\n\tr.Put(\"/nodestate/\", api.updateNodeStates)\n\t// Job Handler\n\tif config.Keys.APISubjects == nil {\n\t\tcclog.Info(\"Enabling REST start/stop job API\")\n\t\tr.Post(\"/jobs/start_job/\", api.startJob)\n\t\tr.Put(\"/jobs/start_job/\", api.startJob)\n\t\tr.Post(\"/jobs/stop_job/\", api.stopJobByRequest)\n\t\tr.Put(\"/jobs/stop_job/\", api.stopJobByRequest)\n\t}\n\tr.Get(\"/jobs/\", api.getJobs)\n\tr.Get(\"/jobs/used_nodes\", api.getUsedNodes)\n\tr.Post(\"/jobs/tag_job/{id}\", api.tagJob)\n\tr.Patch(\"/jobs/tag_job/{id}\", api.tagJob)\n\tr.Delete(\"/jobs/tag_job/{id}\", api.removeTagJob)\n\tr.Patch(\"/jobs/edit_meta/{id}\", api.editMeta)\n\tr.Patch(\"/jobs/edit_meta/\", api.editMetaByRequest)\n\tr.Get(\"/jobs/metrics/{id}\", api.getJobMetrics)\n\tr.Delete(\"/jobs/delete_job/\", api.deleteJobByRequest)\n\tr.Delete(\"/jobs/delete_job/{id}\", api.deleteJobByID)\n\tr.Delete(\"/jobs/delete_job_before/{ts}\", api.deleteJobBefore)\n\tr.Post(\"/jobs/{id}\", api.getJobByID)\n\tr.Get(\"/jobs/{id}\", api.getCompleteJobByID)\n\n\tr.Delete(\"/tags/\", api.removeTags)\n\n\tif api.MachineStateDir != \"\" {\n\t\tr.Get(\"/machine_state/{cluster}/{host}\", api.getMachineState)\n\t\tr.Put(\"/machine_state/{cluster}/{host}\", api.putMachineState)\n\t\tr.Post(\"/machine_state/{cluster}/{host}\", api.putMachineState)\n\t}\n}\n\n// MountUserAPIRoutes registers user-accessible REST API endpoints.\n// These are limited endpoints for regular users with JWT token authentication.\nfunc (api *RestAPI) MountUserAPIRoutes(r chi.Router) {\n\t// REST API Uses TokenAuth\n\tr.Get(\"/jobs/\", api.getJobs)\n\tr.Post(\"/jobs/{id}\", api.getJobByID)\n\tr.Get(\"/jobs/{id}\", api.getCompleteJobByID)\n\tr.Get(\"/jobs/metrics/{id}\", api.getJobMetrics)\n}\n\n// MountMetricStoreAPIRoutes registers metric storage API endpoints.\n// These endpoints handle metric data ingestion and health checks with JWT token authentication.\nfunc (api *RestAPI) MountMetricStoreAPIRoutes(r chi.Router) {\n\t// REST API Uses TokenAuth\n\tr.Post(\"/free\", freeMetrics)\n\tr.Post(\"/write\", writeMetrics)\n\tr.Get(\"/debug\", debugMetrics)\n\tr.Post(\"/healthcheck\", api.updateNodeStates)\n\t// Same endpoints but with trailing slash\n\tr.Post(\"/free/\", freeMetrics)\n\tr.Post(\"/write/\", writeMetrics)\n\tr.Get(\"/debug/\", debugMetrics)\n\tr.Post(\"/healthcheck/\", api.updateNodeStates)\n}\n\n// MountConfigAPIRoutes registers configuration and user management endpoints.\n// These routes use session-based authentication and require admin privileges.\n// Routes use full paths (including /config prefix) to avoid conflicting with\n// the /config page route when registered via Group instead of Route.\nfunc (api *RestAPI) MountConfigAPIRoutes(r chi.Router) {\n\t// Settings Frontend Uses SessionAuth\n\tif api.Authentication != nil {\n\t\tr.Get(\"/config/roles/\", api.getRoles)\n\t\tr.Post(\"/config/users/\", api.createUser)\n\t\tr.Put(\"/config/users/\", api.createUser)\n\t\tr.Get(\"/config/users/\", api.getUsers)\n\t\tr.Delete(\"/config/users/\", api.deleteUser)\n\t\tr.Post(\"/config/user/{id}\", api.updateUser)\n\t\tr.Post(\"/config/notice/\", api.editNotice)\n\t\tr.Get(\"/config/taggers/\", api.getTaggers)\n\t\tr.Post(\"/config/taggers/run/\", api.runTagger)\n\t}\n}\n\n// MountFrontendAPIRoutes registers frontend-specific API endpoints.\n// These routes support JWT generation and user configuration updates with session authentication.\nfunc (api *RestAPI) MountFrontendAPIRoutes(r chi.Router) {\n\tr.Get(\"/logs/\", api.getJournalLog)\n\t// Settings Frontend Uses SessionAuth\n\tif api.Authentication != nil {\n\t\tr.Get(\"/jwt/\", api.getJWT)\n\t\tr.Post(\"/configuration/\", api.updateConfiguration)\n\t}\n}\n\n// ErrorResponse model\ntype ErrorResponse struct {\n\t// Statustext of Errorcode\n\tStatus string `json:\"status\"`\n\tError  string `json:\"error\"` // Error Message\n}\n\n// DefaultAPIResponse model\ntype DefaultAPIResponse struct {\n\tMessage string `json:\"msg\"`\n}\n\n// handleError writes a standardized JSON error response with the given status code.\n// It logs the error at WARN level and ensures proper Content-Type headers are set.\nfunc handleError(err error, statusCode int, rw http.ResponseWriter) {\n\tcclog.Warnf(\"REST ERROR : %s\", err.Error())\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(statusCode)\n\tif err := json.NewEncoder(rw).Encode(ErrorResponse{\n\t\tStatus: http.StatusText(statusCode),\n\t\tError:  err.Error(),\n\t}); err != nil {\n\t\tcclog.Errorf(\"Failed to encode error response: %v\", err)\n\t}\n}\n\n// decode reads JSON from r into val with strict validation that rejects unknown fields.\nfunc decode(r io.Reader, val any) error {\n\tdec := json.NewDecoder(r)\n\tdec.DisallowUnknownFields()\n\treturn dec.Decode(val)\n}\n\n// validatePathComponent checks if a path component contains potentially malicious patterns\n// that could be used for path traversal attacks. Returns an error if validation fails.\nfunc validatePathComponent(component, componentName string) error {\n\tif strings.Contains(component, \"..\") ||\n\t\tstrings.Contains(component, \"/\") ||\n\t\tstrings.Contains(component, \"\\\\\") {\n\t\treturn fmt.Errorf(\"invalid %s\", componentName)\n\t}\n\treturn nil\n}\n\n// editNotice godoc\n// @summary     Update system notice\n// @tags        Config\n// @description Updates the notice.txt file content. Only admins are allowed. Content is limited to 10000 characters.\n// @accept      mpfd\n// @produce     plain\n// @param       new-content formData string true \"New notice content (max 10000 characters)\"\n// @success     200 {string} string \"Update Notice Content Success\"\n// @failure     400 {object} ErrorResponse \"Bad Request\"\n// @failure     403 {object} ErrorResponse \"Forbidden\"\n// @failure     500 {object} ErrorResponse \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /notice/ [post]\nfunc (api *RestAPI) editNotice(rw http.ResponseWriter, r *http.Request) {\n\tif user := repository.GetUserFromContext(r.Context()); !user.HasRole(schema.RoleAdmin) {\n\t\thandleError(fmt.Errorf(\"only admins are allowed to update the notice.txt file\"), http.StatusForbidden, rw)\n\t\treturn\n\t}\n\n\t// Get Value\n\tnewContent := r.FormValue(\"new-content\")\n\n\tif len(newContent) > maxNoticeLength {\n\t\thandleError(fmt.Errorf(\"notice content exceeds maximum length of %d characters\", maxNoticeLength), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\t// Check File\n\tnoticeExists := util.CheckFileExists(noticeFilePath)\n\tif !noticeExists {\n\t\tntxt, err := os.Create(noticeFilePath)\n\t\tif err != nil {\n\t\t\thandleError(fmt.Errorf(\"creating notice file failed: %w\", err), http.StatusInternalServerError, rw)\n\t\t\treturn\n\t\t}\n\t\tif err := ntxt.Close(); err != nil {\n\t\t\tcclog.Warnf(\"Failed to close notice file: %v\", err)\n\t\t}\n\t}\n\n\tif err := os.WriteFile(noticeFilePath, []byte(newContent), noticeFilePerms); err != nil {\n\t\thandleError(fmt.Errorf(\"writing to notice file failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\trw.Header().Set(\"Content-Type\", \"text/plain\")\n\trw.WriteHeader(http.StatusOK)\n\tvar msg []byte\n\tif newContent != \"\" {\n\t\tmsg = []byte(\"Update Notice Content Success\")\n\t} else {\n\t\tmsg = []byte(\"Empty Notice Content Success\")\n\t}\n\tif _, err := rw.Write(msg); err != nil {\n\t\tcclog.Errorf(\"Failed to write response: %v\", err)\n\t}\n}\n\nfunc (api *RestAPI) getTaggers(rw http.ResponseWriter, r *http.Request) {\n\tif user := repository.GetUserFromContext(r.Context()); !user.HasRole(schema.RoleAdmin) {\n\t\thandleError(fmt.Errorf(\"only admins are allowed to list taggers\"), http.StatusForbidden, rw)\n\t\treturn\n\t}\n\n\trw.Header().Set(\"Content-Type\", \"application/json\")\n\tif err := json.NewEncoder(rw).Encode(tagger.ListTaggers()); err != nil {\n\t\tcclog.Errorf(\"Failed to encode tagger list: %v\", err)\n\t}\n}\n\nfunc (api *RestAPI) runTagger(rw http.ResponseWriter, r *http.Request) {\n\tif user := repository.GetUserFromContext(r.Context()); !user.HasRole(schema.RoleAdmin) {\n\t\thandleError(fmt.Errorf(\"only admins are allowed to run taggers\"), http.StatusForbidden, rw)\n\t\treturn\n\t}\n\n\tname := r.FormValue(\"name\")\n\tif name == \"\" {\n\t\thandleError(fmt.Errorf(\"missing required parameter: name\"), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tif err := tagger.RunTaggerByName(name); err != nil {\n\t\thandleError(err, http.StatusConflict, rw)\n\t\treturn\n\t}\n\n\trw.Header().Set(\"Content-Type\", \"text/plain\")\n\trw.WriteHeader(http.StatusOK)\n\tif _, err := rw.Write(fmt.Appendf(nil, \"Tagger %s started\", name)); err != nil {\n\t\tcclog.Errorf(\"Failed to write response: %v\", err)\n\t}\n}\n\n// getJWT godoc\n// @summary     Generate JWT token\n// @tags        Frontend\n// @description Generates a JWT token for a user. Admins can generate tokens for any user, regular users only for themselves.\n// @accept      mpfd\n// @produce     plain\n// @param       username formData string true \"Username to generate JWT for\"\n// @success     200 {string} string \"JWT token\"\n// @failure     403 {object} ErrorResponse \"Forbidden\"\n// @failure     404 {object} ErrorResponse \"User Not Found\"\n// @failure     500 {object} ErrorResponse \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /jwt/ [get]\nfunc (api *RestAPI) getJWT(rw http.ResponseWriter, r *http.Request) {\n\trw.Header().Set(\"Content-Type\", \"text/plain\")\n\tusername := r.FormValue(\"username\")\n\tme := repository.GetUserFromContext(r.Context())\n\tif !me.HasRole(schema.RoleAdmin) {\n\t\tif username != me.Username {\n\t\t\thandleError(fmt.Errorf(\"only admins are allowed to sign JWTs not for themselves\"), http.StatusForbidden, rw)\n\t\t\treturn\n\t\t}\n\t}\n\n\tuser, err := repository.GetUserRepository().GetUser(username)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"getting user failed: %w\", err), http.StatusNotFound, rw)\n\t\treturn\n\t}\n\n\tjwt, err := api.Authentication.JwtAuth.ProvideJWT(user)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"providing JWT failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\trw.WriteHeader(http.StatusOK)\n\tif _, err := rw.Write([]byte(jwt)); err != nil {\n\t\tcclog.Errorf(\"Failed to write JWT response: %v\", err)\n\t}\n}\n\n// getRoles godoc\n// @summary     Get available roles\n// @tags        Config\n// @description Returns a list of valid user roles. Only admins are allowed.\n// @produce     json\n// @success     200 {array} string \"List of role names\"\n// @failure     403 {object} ErrorResponse \"Forbidden\"\n// @failure     500 {object} ErrorResponse \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /roles/ [get]\nfunc (api *RestAPI) getRoles(rw http.ResponseWriter, r *http.Request) {\n\tuser := repository.GetUserFromContext(r.Context())\n\tif !user.HasRole(schema.RoleAdmin) {\n\t\thandleError(fmt.Errorf(\"only admins are allowed to fetch a list of roles\"), http.StatusForbidden, rw)\n\t\treturn\n\t}\n\n\troles, err := schema.GetValidRoles(user)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"getting valid roles failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\trw.Header().Set(\"Content-Type\", \"application/json\")\n\tif err := json.NewEncoder(rw).Encode(roles); err != nil {\n\t\tcclog.Errorf(\"Failed to encode roles response: %v\", err)\n\t}\n}\n\n// updateConfiguration godoc\n// @summary     Update user configuration\n// @tags        Frontend\n// @description Updates a user's configuration key-value pair.\n// @accept      mpfd\n// @produce     plain\n// @param       key formData string true \"Configuration key\"\n// @param       value formData string true \"Configuration value\"\n// @success     200 {string} string \"success\"\n// @failure     500 {object} ErrorResponse \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /configuration/ [post]\nfunc (api *RestAPI) updateConfiguration(rw http.ResponseWriter, r *http.Request) {\n\trw.Header().Set(\"Content-Type\", \"text/plain\")\n\tkey, value := r.FormValue(\"key\"), r.FormValue(\"value\")\n\n\tif err := repository.GetUserCfgRepo().UpdateConfig(key, value, repository.GetUserFromContext(r.Context())); err != nil {\n\t\thandleError(fmt.Errorf(\"updating configuration failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\trw.WriteHeader(http.StatusOK)\n\tif _, err := rw.Write([]byte(\"success\")); err != nil {\n\t\tcclog.Errorf(\"Failed to write response: %v\", err)\n\t}\n}\n\n// putMachineState godoc\n// @summary     Store machine state\n// @tags        Machine State\n// @description Stores machine state data for a specific cluster node. Validates cluster and host names to prevent path traversal.\n// @accept      json\n// @produce     plain\n// @param       cluster path string true \"Cluster name\"\n// @param       host path string true \"Host name\"\n// @success     201 \"Created\"\n// @failure     400 {object} ErrorResponse \"Bad Request\"\n// @failure     404 {object} ErrorResponse \"Machine state not enabled\"\n// @failure     500 {object} ErrorResponse \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /machine_state/{cluster}/{host} [put]\nfunc (api *RestAPI) putMachineState(rw http.ResponseWriter, r *http.Request) {\n\tif api.MachineStateDir == \"\" {\n\t\thandleError(fmt.Errorf(\"machine state not enabled\"), http.StatusNotFound, rw)\n\t\treturn\n\t}\n\n\tcluster := chi.URLParam(r, \"cluster\")\n\thost := chi.URLParam(r, \"host\")\n\n\tif err := validatePathComponent(cluster, \"cluster name\"); err != nil {\n\t\thandleError(err, http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\tif err := validatePathComponent(host, \"host name\"); err != nil {\n\t\thandleError(err, http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tdir := filepath.Join(api.MachineStateDir, cluster)\n\tif err := os.MkdirAll(dir, 0o755); err != nil {\n\t\thandleError(fmt.Errorf(\"creating directory failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\tfilename := filepath.Join(dir, fmt.Sprintf(\"%s.json\", host))\n\tf, err := os.Create(filename)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"creating file failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\tdefer f.Close()\n\n\tif _, err := io.Copy(f, r.Body); err != nil {\n\t\thandleError(fmt.Errorf(\"writing file failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\trw.WriteHeader(http.StatusCreated)\n}\n\n// getMachineState godoc\n// @summary     Retrieve machine state\n// @tags        Machine State\n// @description Retrieves stored machine state data for a specific cluster node. Validates cluster and host names to prevent path traversal.\n// @produce     json\n// @param       cluster path string true \"Cluster name\"\n// @param       host path string true \"Host name\"\n// @success     200 {object} object \"Machine state JSON data\"\n// @failure     400 {object} ErrorResponse \"Bad Request\"\n// @failure     404 {object} ErrorResponse \"Machine state not enabled or file not found\"\n// @security    ApiKeyAuth\n// @router      /machine_state/{cluster}/{host} [get]\nfunc (api *RestAPI) getMachineState(rw http.ResponseWriter, r *http.Request) {\n\tif api.MachineStateDir == \"\" {\n\t\thandleError(fmt.Errorf(\"machine state not enabled\"), http.StatusNotFound, rw)\n\t\treturn\n\t}\n\n\tcluster := chi.URLParam(r, \"cluster\")\n\thost := chi.URLParam(r, \"host\")\n\n\tif err := validatePathComponent(cluster, \"cluster name\"); err != nil {\n\t\thandleError(err, http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\tif err := validatePathComponent(host, \"host name\"); err != nil {\n\t\thandleError(err, http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tfilename := filepath.Join(api.MachineStateDir, cluster, fmt.Sprintf(\"%s.json\", host))\n\n\t// Sets the content-type and 'Last-Modified' Header and so on automatically\n\thttp.ServeFile(rw, r, filename)\n}\n","structuredPatch":[{"oldStart":16,"oldLines":6,"newStart":16,"newLines":7,"lines":["   \"net/http\"","   \"os\"","   \"path/filepath\"","+  \"runtime\"","   \"strings\"","   \"sync\""," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"71111264-ca25-456a-b088-6df0bd6fb0ed","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"0fb73ab2-5576-4b68-ae4b-f176fcec6e42","version":"2.1.76","gitBranch":"hotfix","slug":"expressive-yawning-boole"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package api provides the REST API layer for ClusterCockpit.\n// It handles HTTP requests for job management, user administration,\n// cluster queries, node state updates, and metrics storage operations.\n// The API supports both JWT token authentication and session-based authentication.\npackage api\n\nimport (\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"io\"\n\t\"net/http\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"runtime\"\n\t\"strings\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t\"github.com/go-chi/chi/v5\"\n)\n\n// @title                      ClusterCockpit REST API\n// @version                    1.0.0\n// @description                API for batch job control.\n\n// @contact.name               ClusterCockpit Project\n// @contact.url                https://github.com/ClusterCockpit\n// @contact.email              support@clustercockpit.org\n\n// @license.name               MIT License\n// @license.url                https://opensource.org/licenses/MIT\n\n// @host                       localhost:8080\n\n// @securityDefinitions.apikey ApiKeyAuth\n// @in                         header\n// @name                       X-Auth-Token\n\nconst (\n\tnoticeFilePath  = \"./var/notice.txt\"\n\tnoticeFilePerms = 0o644\n\tmaxNoticeLength = 10000 // Maximum allowed notice content length in characters\n)\n\ntype RestAPI struct {\n\tJobRepository   *repository.JobRepository\n\tAuthentication  *auth.Authentication\n\tMachineStateDir string\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob API calls.\n\t// It prevents concurrent job starts with the same jobId/cluster/startTime\n\t// from creating duplicate entries in the database.\n\tRepositoryMutex sync.Mutex\n}\n\n// New creates and initializes a new RestAPI instance with configured dependencies.\nfunc New() *RestAPI {\n\treturn &RestAPI{\n\t\tJobRepository:   repository.GetJobRepository(),\n\t\tMachineStateDir: config.Keys.MachineStateDir,\n\t\tAuthentication:  auth.GetAuthInstance(),\n\t}\n}\n\n// MountAPIRoutes registers REST API endpoints for job and cluster management.\n// These routes use JWT token authentication via the X-Auth-Token header.\nfunc (api *RestAPI) MountAPIRoutes(r chi.Router) {\n\t// REST API Uses TokenAuth\n\t// User List\n\tr.Get(\"/users/\", api.getUsers)\n\t// Cluster List\n\tr.Get(\"/clusters/\", api.getClusters)\n\t// Slurm node state\n\tr.Post(\"/nodestate/\", api.updateNodeStates)\n\tr.Put(\"/nodestate/\", api.updateNodeStates)\n\t// Job Handler\n\tif config.Keys.APISubjects == nil {\n\t\tcclog.Info(\"Enabling REST start/stop job API\")\n\t\tr.Post(\"/jobs/start_job/\", api.startJob)\n\t\tr.Put(\"/jobs/start_job/\", api.startJob)\n\t\tr.Post(\"/jobs/stop_job/\", api.stopJobByRequest)\n\t\tr.Put(\"/jobs/stop_job/\", api.stopJobByRequest)\n\t}\n\tr.Get(\"/jobs/\", api.getJobs)\n\tr.Get(\"/jobs/used_nodes\", api.getUsedNodes)\n\tr.Post(\"/jobs/tag_job/{id}\", api.tagJob)\n\tr.Patch(\"/jobs/tag_job/{id}\", api.tagJob)\n\tr.Delete(\"/jobs/tag_job/{id}\", api.removeTagJob)\n\tr.Patch(\"/jobs/edit_meta/{id}\", api.editMeta)\n\tr.Patch(\"/jobs/edit_meta/\", api.editMetaByRequest)\n\tr.Get(\"/jobs/metrics/{id}\", api.getJobMetrics)\n\tr.Delete(\"/jobs/delete_job/\", api.deleteJobByRequest)\n\tr.Delete(\"/jobs/delete_job/{id}\", api.deleteJobByID)\n\tr.Delete(\"/jobs/delete_job_before/{ts}\", api.deleteJobBefore)\n\tr.Post(\"/jobs/{id}\", api.getJobByID)\n\tr.Get(\"/jobs/{id}\", api.getCompleteJobByID)\n\n\tr.Delete(\"/tags/\", api.removeTags)\n\n\tif api.MachineStateDir != \"\" {\n\t\tr.Get(\"/machine_state/{cluster}/{host}\", api.getMachineState)\n\t\tr.Put(\"/machine_state/{cluster}/{host}\", api.putMachineState)\n\t\tr.Post(\"/machine_state/{cluster}/{host}\", api.putMachineState)\n\t}\n}\n\n// MountUserAPIRoutes registers user-accessible REST API endpoints.\n// These are limited endpoints for regular users with JWT token authentication.\nfunc (api *RestAPI) MountUserAPIRoutes(r chi.Router) {\n\t// REST API Uses TokenAuth\n\tr.Get(\"/jobs/\", api.getJobs)\n\tr.Post(\"/jobs/{id}\", api.getJobByID)\n\tr.Get(\"/jobs/{id}\", api.getCompleteJobByID)\n\tr.Get(\"/jobs/metrics/{id}\", api.getJobMetrics)\n}\n\n// MountMetricStoreAPIRoutes registers metric storage API endpoints.\n// These endpoints handle metric data ingestion and health checks with JWT token authentication.\nfunc (api *RestAPI) MountMetricStoreAPIRoutes(r chi.Router) {\n\t// REST API Uses TokenAuth\n\tr.Post(\"/free\", freeMetrics)\n\tr.Post(\"/write\", writeMetrics)\n\tr.Get(\"/debug\", debugMetrics)\n\tr.Post(\"/healthcheck\", api.updateNodeStates)\n\t// Same endpoints but with trailing slash\n\tr.Post(\"/free/\", freeMetrics)\n\tr.Post(\"/write/\", writeMetrics)\n\tr.Get(\"/debug/\", debugMetrics)\n\tr.Post(\"/healthcheck/\", api.updateNodeStates)\n}\n\n// MountConfigAPIRoutes registers configuration and user management endpoints.\n// These routes use session-based authentication and require admin privileges.\n// Routes use full paths (including /config prefix) to avoid conflicting with\n// the /config page route when registered via Group instead of Route.\nfunc (api *RestAPI) MountConfigAPIRoutes(r chi.Router) {\n\t// Settings Frontend Uses SessionAuth\n\tif api.Authentication != nil {\n\t\tr.Get(\"/config/roles/\", api.getRoles)\n\t\tr.Post(\"/config/users/\", api.createUser)\n\t\tr.Put(\"/config/users/\", api.createUser)\n\t\tr.Get(\"/config/users/\", api.getUsers)\n\t\tr.Delete(\"/config/users/\", api.deleteUser)\n\t\tr.Post(\"/config/user/{id}\", api.updateUser)\n\t\tr.Post(\"/config/notice/\", api.editNotice)\n\t\tr.Get(\"/config/taggers/\", api.getTaggers)\n\t\tr.Post(\"/config/taggers/run/\", api.runTagger)\n\t}\n}\n\n// MountFrontendAPIRoutes registers frontend-specific API endpoints.\n// These routes support JWT generation and user configuration updates with session authentication.\nfunc (api *RestAPI) MountFrontendAPIRoutes(r chi.Router) {\n\tr.Get(\"/logs/\", api.getJournalLog)\n\t// Settings Frontend Uses SessionAuth\n\tif api.Authentication != nil {\n\t\tr.Get(\"/jwt/\", api.getJWT)\n\t\tr.Post(\"/configuration/\", api.updateConfiguration)\n\t}\n}\n\n// ErrorResponse model\ntype ErrorResponse struct {\n\t// Statustext of Errorcode\n\tStatus string `json:\"status\"`\n\tError  string `json:\"error\"` // Error Message\n}\n\n// DefaultAPIResponse model\ntype DefaultAPIResponse struct {\n\tMessage string `json:\"msg\"`\n}\n\n// handleError writes a standardized JSON error response with the given status code.\n// It logs the error at WARN level and ensures proper Content-Type headers are set.\nfunc handleError(err error, statusCode int, rw http.ResponseWriter) {\n\tcclog.Warnf(\"REST ERROR : %s\", err.Error())\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(statusCode)\n\tif err := json.NewEncoder(rw).Encode(ErrorResponse{\n\t\tStatus: http.StatusText(statusCode),\n\t\tError:  err.Error(),\n\t}); err != nil {\n\t\tcclog.Errorf(\"Failed to encode error response: %v\", err)\n\t}\n}\n\n// decode reads JSON from r into val with strict validation that rejects unknown fields.\nfunc decode(r io.Reader, val any) error {\n\tdec := json.NewDecoder(r)\n\tdec.DisallowUnknownFields()\n\treturn dec.Decode(val)\n}\n\n// validatePathComponent checks if a path component contains potentially malicious patterns\n// that could be used for path traversal attacks. Returns an error if validation fails.\nfunc validatePathComponent(component, componentName string) error {\n\tif strings.Contains(component, \"..\") ||\n\t\tstrings.Contains(component, \"/\") ||\n\t\tstrings.Contains(component, \"\\\\\") {\n\t\treturn fmt.Errorf(\"invalid %s\", componentName)\n\t}\n\treturn nil\n}\n\n// editNotice godoc\n// @summary     Update system notice\n// @tags        Config\n// @description Updates the notice.txt file content. Only admins are allowed. Content is limited to 10000 characters.\n// @accept      mpfd\n// @produce     plain\n// @param       new-content formData string true \"New notice content (max 10000 characters)\"\n// @success     200 {string} string \"Update Notice Content Success\"\n// @failure     400 {object} ErrorResponse \"Bad Request\"\n// @failure     403 {object} ErrorResponse \"Forbidden\"\n// @failure     500 {object} ErrorResponse \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /notice/ [post]\nfunc (api *RestAPI) editNotice(rw http.ResponseWriter, r *http.Request) {\n\tif user := repository.GetUserFromContext(r.Context()); !user.HasRole(schema.RoleAdmin) {\n\t\thandleError(fmt.Errorf(\"only admins are allowed to update the notice.txt file\"), http.StatusForbidden, rw)\n\t\treturn\n\t}\n\n\t// Get Value\n\tnewContent := r.FormValue(\"new-content\")\n\n\tif len(newContent) > maxNoticeLength {\n\t\thandleError(fmt.Errorf(\"notice content exceeds maximum length of %d characters\", maxNoticeLength), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\t// Check File\n\tnoticeExists := util.CheckFileExists(noticeFilePath)\n\tif !noticeExists {\n\t\tntxt, err := os.Create(noticeFilePath)\n\t\tif err != nil {\n\t\t\thandleError(fmt.Errorf(\"creating notice file failed: %w\", err), http.StatusInternalServerError, rw)\n\t\t\treturn\n\t\t}\n\t\tif err := ntxt.Close(); err != nil {\n\t\t\tcclog.Warnf(\"Failed to close notice file: %v\", err)\n\t\t}\n\t}\n\n\tif err := os.WriteFile(noticeFilePath, []byte(newContent), noticeFilePerms); err != nil {\n\t\thandleError(fmt.Errorf(\"writing to notice file failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\trw.Header().Set(\"Content-Type\", \"text/plain\")\n\trw.WriteHeader(http.StatusOK)\n\tvar msg []byte\n\tif newContent != \"\" {\n\t\tmsg = []byte(\"Update Notice Content Success\")\n\t} else {\n\t\tmsg = []byte(\"Empty Notice Content Success\")\n\t}\n\tif _, err := rw.Write(msg); err != nil {\n\t\tcclog.Errorf(\"Failed to write response: %v\", err)\n\t}\n}\n\nfunc (api *RestAPI) getTaggers(rw http.ResponseWriter, r *http.Request) {\n\tif user := repository.GetUserFromContext(r.Context()); !user.HasRole(schema.RoleAdmin) {\n\t\thandleError(fmt.Errorf(\"only admins are allowed to list taggers\"), http.StatusForbidden, rw)\n\t\treturn\n\t}\n\n\trw.Header().Set(\"Content-Type\", \"application/json\")\n\tif err := json.NewEncoder(rw).Encode(tagger.ListTaggers()); err != nil {\n\t\tcclog.Errorf(\"Failed to encode tagger list: %v\", err)\n\t}\n}\n\nfunc (api *RestAPI) runTagger(rw http.ResponseWriter, r *http.Request) {\n\tif user := repository.GetUserFromContext(r.Context()); !user.HasRole(schema.RoleAdmin) {\n\t\thandleError(fmt.Errorf(\"only admins are allowed to run taggers\"), http.StatusForbidden, rw)\n\t\treturn\n\t}\n\n\tname := r.FormValue(\"name\")\n\tif name == \"\" {\n\t\thandleError(fmt.Errorf(\"missing required parameter: name\"), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tif err := tagger.RunTaggerByName(name); err != nil {\n\t\thandleError(err, http.StatusConflict, rw)\n\t\treturn\n\t}\n\n\trw.Header().Set(\"Content-Type\", \"text/plain\")\n\trw.WriteHeader(http.StatusOK)\n\tif _, err := rw.Write(fmt.Appendf(nil, \"Tagger %s started\", name)); err != nil {\n\t\tcclog.Errorf(\"Failed to write response: %v\", err)\n\t}\n}\n\n// getJWT godoc\n// @summary     Generate JWT token\n// @tags        Frontend\n// @description Generates a JWT token for a user. Admins can generate tokens for any user, regular users only for themselves.\n// @accept      mpfd\n// @produce     plain\n// @param       username formData string true \"Username to generate JWT for\"\n// @success     200 {string} string \"JWT token\"\n// @failure     403 {object} ErrorResponse \"Forbidden\"\n// @failure     404 {object} ErrorResponse \"User Not Found\"\n// @failure     500 {object} ErrorResponse \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /jwt/ [get]\nfunc (api *RestAPI) getJWT(rw http.ResponseWriter, r *http.Request) {\n\trw.Header().Set(\"Content-Type\", \"text/plain\")\n\tusername := r.FormValue(\"username\")\n\tme := repository.GetUserFromContext(r.Context())\n\tif !me.HasRole(schema.RoleAdmin) {\n\t\tif username != me.Username {\n\t\t\thandleError(fmt.Errorf(\"only admins are allowed to sign JWTs not for themselves\"), http.StatusForbidden, rw)\n\t\t\treturn\n\t\t}\n\t}\n\n\tuser, err := repository.GetUserRepository().GetUser(username)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"getting user failed: %w\", err), http.StatusNotFound, rw)\n\t\treturn\n\t}\n\n\tjwt, err := api.Authentication.JwtAuth.ProvideJWT(user)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"providing JWT failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\trw.WriteHeader(http.StatusOK)\n\tif _, err := rw.Write([]byte(jwt)); err != nil {\n\t\tcclog.Errorf(\"Failed to write JWT response: %v\", err)\n\t}\n}\n\n// getRoles godoc\n// @summary     Get available roles\n// @tags        Config\n// @description Returns a list of valid user roles. Only admins are allowed.\n// @produce     json\n// @success     200 {array} string \"List of role names\"\n// @failure     403 {object} ErrorResponse \"Forbidden\"\n// @failure     500 {object} ErrorResponse \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /roles/ [get]\nfunc (api *RestAPI) getRoles(rw http.ResponseWriter, r *http.Request) {\n\tuser := repository.GetUserFromContext(r.Context())\n\tif !user.HasRole(schema.RoleAdmin) {\n\t\thandleError(fmt.Errorf(\"only admins are allowed to fetch a list of roles\"), http.StatusForbidden, rw)\n\t\treturn\n\t}\n\n\troles, err := schema.GetValidRoles(user)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"getting valid roles failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\trw.Header().Set(\"Content-Type\", \"application/json\")\n\tif err := json.NewEncoder(rw).Encode(roles); err != nil {\n\t\tcclog.Errorf(\"Failed to encode roles response: %v\", err)\n\t}\n}\n\n// updateConfiguration godoc\n// @summary     Update user configuration\n// @tags        Frontend\n// @description Updates a user's configuration key-value pair.\n// @accept      mpfd\n// @produce     plain\n// @param       key formData string true \"Configuration key\"\n// @param       value formData string true \"Configuration value\"\n// @success     200 {string} string \"success\"\n// @failure     500 {object} ErrorResponse \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /configuration/ [post]\nfunc (api *RestAPI) updateConfiguration(rw http.ResponseWriter, r *http.Request) {\n\trw.Header().Set(\"Content-Type\", \"text/plain\")\n\tkey, value := r.FormValue(\"key\"), r.FormValue(\"value\")\n\n\tif err := repository.GetUserCfgRepo().UpdateConfig(key, value, repository.GetUserFromContext(r.Context())); err != nil {\n\t\thandleError(fmt.Errorf(\"updating configuration failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\trw.WriteHeader(http.StatusOK)\n\tif _, err := rw.Write([]byte(\"success\")); err != nil {\n\t\tcclog.Errorf(\"Failed to write response: %v\", err)\n\t}\n}\n\n// putMachineState godoc\n// @summary     Store machine state\n// @tags        Machine State\n// @description Stores machine state data for a specific cluster node. Validates cluster and host names to prevent path traversal.\n// @accept      json\n// @produce     plain\n// @param       cluster path string true \"Cluster name\"\n// @param       host path string true \"Host name\"\n// @success     201 \"Created\"\n// @failure     400 {object} ErrorResponse \"Bad Request\"\n// @failure     404 {object} ErrorResponse \"Machine state not enabled\"\n// @failure     500 {object} ErrorResponse \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /machine_state/{cluster}/{host} [put]\nfunc (api *RestAPI) putMachineState(rw http.ResponseWriter, r *http.Request) {\n\tif api.MachineStateDir == \"\" {\n\t\thandleError(fmt.Errorf(\"machine state not enabled\"), http.StatusNotFound, rw)\n\t\treturn\n\t}\n\n\tcluster := chi.URLParam(r, \"cluster\")\n\thost := chi.URLParam(r, \"host\")\n\n\tif err := validatePathComponent(cluster, \"cluster name\"); err != nil {\n\t\thandleError(err, http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\tif err := validatePathComponent(host, \"host name\"); err != nil {\n\t\thandleError(err, http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tdir := filepath.Join(api.MachineStateDir, cluster)\n\tif err := os.MkdirAll(dir, 0o755); err != nil {\n\t\thandleError(fmt.Errorf(\"creating directory failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\tfilename := filepath.Join(dir, fmt.Sprintf(\"%s.json\", host))\n\tf, err := os.Create(filename)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"creating file failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\tdefer f.Close()\n\n\tif _, err := io.Copy(f, r.Body); err != nil {\n\t\thandleError(fmt.Errorf(\"writing file failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\trw.WriteHeader(http.StatusCreated)\n}\n\n// getMachineState godoc\n// @summary     Retrieve machine state\n// @tags        Machine State\n// @description Retrieves stored machine state data for a specific cluster node. Validates cluster and host names to prevent path traversal.\n// @produce     json\n// @param       cluster path string true \"Cluster name\"\n// @param       host path string true \"Host name\"\n// @success     200 {object} object \"Machine state JSON data\"\n// @failure     400 {object} ErrorResponse \"Bad Request\"\n// @failure     404 {object} ErrorResponse \"Machine state not enabled or file not found\"\n// @security    ApiKeyAuth\n// @router      /machine_state/{cluster}/{host} [get]\nfunc (api *RestAPI) getMachineState(rw http.ResponseWriter, r *http.Request) {\n\tif api.MachineStateDir == \"\" {\n\t\thandleError(fmt.Errorf(\"machine state not enabled\"), http.StatusNotFound, rw)\n\t\treturn\n\t}\n\n\tcluster := chi.URLParam(r, \"cluster\")\n\thost := chi.URLParam(r, \"host\")\n\n\tif err := validatePathComponent(cluster, \"cluster name\"); err != nil {\n\t\thandleError(err, http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\tif err := validatePathComponent(host, \"host name\"); err != nil {\n\t\thandleError(err, http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tfilename := filepath.Join(api.MachineStateDir, cluster, fmt.Sprintf(\"%s.json\", host))\n\n\t// Sets the content-type and 'Last-Modified' Header and so on automatically\n\thttp.ServeFile(rw, r, filename)\n}\n","structuredPatch":[{"oldStart":185,"oldLines":7,"newStart":185,"newLines":8,"lines":[" // handleError writes a standardized JSON error response with the given status code."," // It logs the error at WARN level and ensures proper Content-Type headers are set."," func handleError(err error, statusCode int, rw http.ResponseWriter) {","-  cclog.Warnf(\"REST ERROR : %s\", err.Error())","+  _, file, line, _ := runtime.Caller(1)","+  cclog.Warnf(\"REST ERROR (%s:%d): %s\", filepath.Base(file), line, err.Error())","   rw.Header().Add(\"Content-Type\", \"application/json\")","   rw.WriteHeader(statusCode)","   if err := json.NewEncoder(rw).Encode(ErrorResponse{"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"d6facaa5-7e22-4f22-8c47-e702cd0fbb58","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"0fb73ab2-5576-4b68-ae4b-f176fcec6e42","version":"2.1.76","gitBranch":"hotfix","slug":"expressive-yawning-boole"}
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diff --git a/a4/948d0fe7a3/0/metadata.json b/a4/948d0fe7a3/0/metadata.json
new file mode 100644
index 00000000..25990cb2
--- /dev/null
+++ b/a4/948d0fe7a3/0/metadata.json
@@ -0,0 +1,34 @@
+{
+  "cli_version": "0.5.0",
+  "checkpoint_id": "a4948d0fe7a3",
+  "session_id": "0fb73ab2-5576-4b68-ae4b-f176fcec6e42",
+  "strategy": "manual-commit",
+  "created_at": "2026-03-16T14:42:38.524785Z",
+  "branch": "hotfix",
+  "checkpoints_count": 1,
+  "files_touched": [
+    "internal/api/rest.go"
+  ],
+  "agent": "Claude Code",
+  "model": "claude-opus-4-6",
+  "turn_id": "8c60783524af",
+  "token_usage": {
+    "input_tokens": 12,
+    "cache_creation_tokens": 16404,
+    "cache_read_tokens": 152967,
+    "output_tokens": 1028,
+    "api_call_count": 8
+  },
+  "session_metrics": {
+    "turn_count": 2
+  },
+  "initial_attribution": {
+    "calculated_at": "2026-03-16T14:42:38.485049Z",
+    "agent_lines": 3,
+    "human_added": 0,
+    "human_modified": 0,
+    "human_removed": 0,
+    "total_committed": 3,
+    "agent_percentage": 100
+  }
+}
diff --git a/a4/948d0fe7a3/0/prompt.txt b/a4/948d0fe7a3/0/prompt.txt
new file mode 100644
index 00000000..0b5993d8
--- /dev/null
+++ b/a4/948d0fe7a3/0/prompt.txt
@@ -0,0 +1,5 @@
+handleError is called from many different functions. How can I enrich the log message to make transparent from where the error is triggered?
+
+---
+
+Adopt handleError using the runtime.Caller option
\ No newline at end of file
diff --git a/a4/948d0fe7a3/metadata.json b/a4/948d0fe7a3/metadata.json
new file mode 100644
index 00000000..bfd4433a
--- /dev/null
+++ b/a4/948d0fe7a3/metadata.json
@@ -0,0 +1,25 @@
+{
+  "cli_version": "0.5.0",
+  "checkpoint_id": "a4948d0fe7a3",
+  "strategy": "manual-commit",
+  "branch": "hotfix",
+  "checkpoints_count": 1,
+  "files_touched": [
+    "internal/api/rest.go"
+  ],
+  "sessions": [
+    {
+      "metadata": "/a4/948d0fe7a3/0/metadata.json",
+      "transcript": "/a4/948d0fe7a3/0/full.jsonl",
+      "content_hash": "/a4/948d0fe7a3/0/content_hash.txt",
+      "prompt": "/a4/948d0fe7a3/0/prompt.txt"
+    }
+  ],
+  "token_usage": {
+    "input_tokens": 12,
+    "cache_creation_tokens": 16404,
+    "cache_read_tokens": 152967,
+    "output_tokens": 1028,
+    "api_call_count": 8
+  }
+}
diff --git a/af/ef27e07ec9/0/content_hash.txt b/af/ef27e07ec9/0/content_hash.txt
new file mode 100644
index 00000000..41b687cc
--- /dev/null
+++ b/af/ef27e07ec9/0/content_hash.txt
@@ -0,0 +1 @@
+sha256:9f1faf03181ff89e0053bef8ee7ce4e3fb8ae5a97effdf5ede653edfd26dc4d2
\ No newline at end of file
diff --git a/af/ef27e07ec9/0/full.jsonl b/af/ef27e07ec9/0/full.jsonl
new file mode 100644
index 00000000..46ae90b0
--- /dev/null
+++ b/af/ef27e07ec9/0/full.jsonl
@@ -0,0 +1,96 @@
+{"type":"file-history-snapshot","messageId":"70123311-64f4-4233-82d7-196082d4535a","snapshot":{"messageId":"70123311-64f4-4233-82d7-196082d4535a","trackedFileBackups":{},"timestamp":"2026-03-16T07:45:38.749Z"},"isSnapshotUpdate":false}
+{"parentUuid":null,"isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"7300ffcf-f59d-4528-9225-4cc290aaf8d0","toolUseID":"7300ffcf-f59d-4528-9225-4cc290aaf8d0","timestamp":"2026-03-16T07:45:38.698Z","uuid":"f281ec6b-6994-4533-8dd7-e1f1e49cb6c4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"}
+{"parentUuid":"f281ec6b-6994-4533-8dd7-e1f1e49cb6c4","isSidechain":false,"promptId":"6996e93a-15e5-4605-839c-80588e7ae3fa","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Fix: Panic in `AddNodeScope` (cc-lib v2.8.2)\n\n## Context\n\nThe archiver crashes with `panic: runtime error: index out of range [4] with length 4` at `schema/metrics.go:327` in `AddNodeScope`. This happens during job archiving when `LoadData` calls `jd.AddNodeScope(\"flops_any\")` or `jd.AddNodeScope(\"mem_bw\")` (dataLoader.go:214-215).\n\n## Root Cause (in cc-lib)\n\n`AddNodeScope` aggregates sub-node metrics (e.g., per-core) into node-level values. It has **two bugs**, both in `schema/metrics.go:299-328`:\n\n### Bug 1 — The crash (line 327)\n- Line 317: `data` is allocated with `len(series[0].Data)` — the current hostname's first sub-series length (e.g., 4)\n- Lines 307-315: `n` (max data length) is computed across **ALL** `jm.Series` (all hostnames), not just the current hostname\n- Lines 326-328: The loop `for ; i < n; i++ { data[i] = NaN }` writes past `data`'s bounds when another hostname has longer data\n\n### Bug 2 — Logic error (lines 318-323)\n- The summation loop iterates `jm.Series` (ALL hostnames' sub-node series) instead of the local `series` (current hostname only)\n- This means each node-level value is the sum across ALL hosts, not just that host's sub-node metrics\n\n## Fix (in cc-lib `schema/metrics.go`)\n\nReplace lines 307-324 to use the local `series` variable (current hostname) instead of `jm.Series` (all hostnames):\n\n```go\n// Before (BUGGY):\nn, m := 0, len(jm.Series[0].Data)\nfor _, series := range jm.Series {\n    ...\n}\ni, data := 0, make([]Float, len(series[0].Data))\nfor ; i < m; i++ {\n    x := Float(0.0)\n    for _, series := range jm.Series {\n        x += series.Data[i]\n    }\n    data[i] = x\n}\n\n// After (FIXED):\nn, m := 0, len(series[0].Data)\nfor _, s := range series {\n    if len(s.Data) > n {\n        n = len(s.Data)\n    }\n    if len(s.Data) < m {\n        m = len(s.Data)\n    }\n}\ni, data := 0, make([]Float, n)\nfor ; i < m; i++ {\n    x := Float(0.0)\n    for _, s := range series {\n        x += s.Data[i]\n    }\n    data[i] = x\n}\n```\n\nKey changes:\n1. `n`/`m` computed from local `series` (current hostname), not `jm.Series`\n2. `data` sized to `n` (max length for this host), not `series[0].Data` length\n3. Summation iterates local `series`, not `jm.Series`\n\n## Where to Apply\n\nThe fix is in **cc-lib** (`schema/metrics.go:307-324`), not cc-backend. Options:\n\n1. **Fix in cc-lib** — update `AddNodeScope` and release a new version, then bump the dependency in cc-backend\n2. **Workaround in cc-backend** — add a defensive wrapper in `dataLoader.go` before calling `AddNodeScope` (e.g., check series lengths), but this only masks the logic bug\n\n**Recommended: Option 1** — fix cc-lib.\n\n## Verification\n\n- Unit test: create a `JobData` with sub-node metrics where different hosts have different data lengths, call `AddNodeScope`, verify no panic and correct aggregation\n- Integration: archive a job with mixed-length metric data\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/0075d51a-8bd8-430a-9f74-fa37f9252c52.jsonl"},"uuid":"70123311-64f4-4233-82d7-196082d4535a","timestamp":"2026-03-16T07:45:38.527Z","planContent":"# Fix: Panic in `AddNodeScope` (cc-lib v2.8.2)\n\n## Context\n\nThe archiver crashes with `panic: runtime error: index out of range [4] with length 4` at `schema/metrics.go:327` in `AddNodeScope`. This happens during job archiving when `LoadData` calls `jd.AddNodeScope(\"flops_any\")` or `jd.AddNodeScope(\"mem_bw\")` (dataLoader.go:214-215).\n\n## Root Cause (in cc-lib)\n\n`AddNodeScope` aggregates sub-node metrics (e.g., per-core) into node-level values. It has **two bugs**, both in `schema/metrics.go:299-328`:\n\n### Bug 1 — The crash (line 327)\n- Line 317: `data` is allocated with `len(series[0].Data)` — the current hostname's first sub-series length (e.g., 4)\n- Lines 307-315: `n` (max data length) is computed across **ALL** `jm.Series` (all hostnames), not just the current hostname\n- Lines 326-328: The loop `for ; i < n; i++ { data[i] = NaN }` writes past `data`'s bounds when another hostname has longer data\n\n### Bug 2 — Logic error (lines 318-323)\n- The summation loop iterates `jm.Series` (ALL hostnames' sub-node series) instead of the local `series` (current hostname only)\n- This means each node-level value is the sum across ALL hosts, not just that host's sub-node metrics\n\n## Fix (in cc-lib `schema/metrics.go`)\n\nReplace lines 307-324 to use the local `series` variable (current hostname) instead of `jm.Series` (all hostnames):\n\n```go\n// Before (BUGGY):\nn, m := 0, len(jm.Series[0].Data)\nfor _, series := range jm.Series {\n    ...\n}\ni, data := 0, make([]Float, len(series[0].Data))\nfor ; i < m; i++ {\n    x := Float(0.0)\n    for _, series := range jm.Series {\n        x += series.Data[i]\n    }\n    data[i] = x\n}\n\n// After (FIXED):\nn, m := 0, len(series[0].Data)\nfor _, s := range series {\n    if len(s.Data) > n {\n        n = len(s.Data)\n    }\n    if len(s.Data) < m {\n        m = len(s.Data)\n    }\n}\ni, data := 0, make([]Float, n)\nfor ; i < m; i++ {\n    x := Float(0.0)\n    for _, s := range series {\n        x += s.Data[i]\n    }\n    data[i] = x\n}\n```\n\nKey changes:\n1. `n`/`m` computed from local `series` (current hostname), not `jm.Series`\n2. `data` sized to `n` (max length for this host), not `series[0].Data` length\n3. Summation iterates local `series`, not `jm.Series`\n\n## Where to Apply\n\nThe fix is in **cc-lib** (`schema/metrics.go:307-324`), not cc-backend. Options:\n\n1. **Fix in cc-lib** — update `AddNodeScope` and release a new version, then bump the dependency in cc-backend\n2. **Workaround in cc-backend** — add a defensive wrapper in `dataLoader.go` before calling `AddNodeScope` (e.g., check series lengths), but this only masks the logic bug\n\n**Recommended: Option 1** — fix cc-lib.\n\n## Verification\n\n- Unit test: create a `JobData` with sub-node metrics where different hosts have different data lengths, call `AddNodeScope`, verify no panic and correct aggregation\n- Integration: archive a job with mixed-length metric data\n","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"}
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This file is part of cc-lib.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage schema\n\nimport (\n\t\"fmt\"\n\t\"io\"\n\t\"math\"\n\t\"sort\"\n\t\"unsafe\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// JobData maps metric names to their data organized by scope.\n// Structure: map[metricName]map[scope]*JobMetric\n//\n// For example: jobData[\"cpu_load\"][MetricScopeNode] contains node-level CPU load data.\n// This structure allows efficient lookup of metrics at different hierarchical levels.\ntype JobData map[string]map[MetricScope]*JobMetric\n\n// ScopedJobStats maps metric names to statistical summaries organized by scope.\n// Structure: map[metricName]map[scope][]*ScopedStats\n//\n// Used to store pre-computed statistics without the full time series data,\n// reducing memory footprint when only aggregated values are needed.\ntype ScopedJobStats map[string]map[MetricScope][]*ScopedStats\n\n// JobMetric contains time series data and statistics for a single metric.\n//\n// The Series field holds time series data from individual nodes/hardware components,\n// while StatisticsSeries provides aggregated statistics across all series over time.\ntype JobMetric struct {\n\tStatisticsSeries *StatsSeries `json:\"statisticsSeries,omitempty\"` // Aggregated statistics over time\n\tUnit             Unit         `json:\"unit\"`                       // Unit of measurement\n\tSeries           []Series     `json:\"series\"`                     // Individual time series data\n\tTimestep         int          `json:\"timestep\"`                   // Sampling interval in seconds\n}\n\n// Series represents a single time series of metric measurements.\n//\n// Each series corresponds to one source (e.g., one node, one core) identified by Hostname and optional ID.\n// The Data field contains the time-ordered measurements, and Statistics provides min/avg/max summaries.\ntype Series struct {\n\tID         *string          `json:\"id,omitempty\"` // Optional ID (e.g., core ID, GPU ID)\n\tHostname   string           `json:\"hostname\"`     // Source hostname\n\tData       []Float          `json:\"data\"`         // Time series measurements\n\tStatistics MetricStatistics `json:\"statistics\"`   // Statistical summary (min/avg/max)\n}\n\n// ScopedStats contains statistical summaries for a specific scope (e.g., one node, one socket).\n// Used when full time series data isn't needed, only the aggregated statistics.\ntype ScopedStats struct {\n\tHostname string            `json:\"hostname\"`     // Source hostname\n\tID       *string           `json:\"id,omitempty\"` // Optional scope ID\n\tData     *MetricStatistics `json:\"data\"`         // Statistical summary\n}\n\n// MetricStatistics holds statistical summary values for metric data.\n// Provides the common statistical aggregations used throughout ClusterCockpit.\ntype MetricStatistics struct {\n\tAvg float64 `json:\"avg\"` // Average/mean value\n\tMin float64 `json:\"min\"` // Minimum value\n\tMax float64 `json:\"max\"` // Maximum value\n}\n\n// StatsSeries contains aggregated statistics across multiple time series over time.\n//\n// Instead of storing individual series, this provides statistical summaries at each time step.\n// For example, at time t, Mean[t] is the average value across all series at that time.\n// Percentiles provides specified percentile values at each time step.\ntype StatsSeries struct {\n\tPercentiles map[int][]Float `json:\"percentiles,omitempty\"` // Percentile values over time (e.g., 10th, 50th, 90th)\n\tMean        []Float         `json:\"mean\"`                  // Mean values over time\n\tMedian      []Float         `json:\"median\"`                // Median values over time\n\tMin         []Float         `json:\"min\"`                   // Minimum values over time\n\tMax         []Float         `json:\"max\"`                   // Maximum values over time\n}\n\n// MetricScope defines the hierarchical level at which a metric is measured.\n//\n// Scopes form a hierarchy from coarse-grained (node) to fine-grained (hwthread/accelerator):\n//\n//\tnode > socket > memoryDomain > core > hwthread\n//\taccelerator is a special scope at the same level as hwthread\n//\n// The scopePrecedence map defines numeric ordering for scope comparisons,\n// which is used when aggregating metrics across different scopes.\ntype MetricScope string\n\nconst (\n\tMetricScopeInvalid MetricScope = \"invalid_scope\"\n\n\tMetricScopeNode         MetricScope = \"node\"\n\tMetricScopeSocket       MetricScope = \"socket\"\n\tMetricScopeMemoryDomain MetricScope = \"memoryDomain\"\n\tMetricScopeCore         MetricScope = \"core\"\n\tMetricScopeHWThread     MetricScope = \"hwthread\"\n\n\t// TODO: Add Job and Application scopes\n\n\tMetricScopeAccelerator MetricScope = \"accelerator\"\n)\n\nvar metricScopeGranularity map[MetricScope]int = map[MetricScope]int{\n\tMetricScopeNode:         10,\n\tMetricScopeSocket:       5,\n\tMetricScopeMemoryDomain: 4,\n\tMetricScopeCore:         3,\n\tMetricScopeHWThread:     2,\n\t/* Special-Case Accelerator\n\t * -> No conversion possible if native scope is HWTHREAD\n\t * -> Therefore needs to be less than HWTREAD, else max() would return unhandled case\n\t * -> If nativeScope is accelerator, accelerator metrics return correctly\n\t */\n\tMetricScopeAccelerator: 1,\n\n\tMetricScopeInvalid: -1,\n}\n\nfunc (e *MetricScope) LT(other MetricScope) bool {\n\ta := metricScopeGranularity[*e]\n\tb := metricScopeGranularity[other]\n\treturn a < b\n}\n\nfunc (e *MetricScope) LTE(other MetricScope) bool {\n\ta := metricScopeGranularity[*e]\n\tb := metricScopeGranularity[other]\n\treturn a <= b\n}\n\nfunc (e *MetricScope) Max(other MetricScope) MetricScope {\n\ta := metricScopeGranularity[*e]\n\tb := metricScopeGranularity[other]\n\tif a > b {\n\t\treturn *e\n\t}\n\treturn other\n}\n\nfunc (e *MetricScope) UnmarshalGQL(v any) error {\n\tstr, ok := v.(string)\n\tif !ok {\n\t\treturn fmt.Errorf(\"SCHEMA/METRICS > enums must be strings\")\n\t}\n\n\t*e = MetricScope(str)\n\tif !e.Valid() {\n\t\treturn fmt.Errorf(\"SCHEMA/METRICS > %s is not a valid MetricScope\", str)\n\t}\n\treturn nil\n}\n\nfunc (e MetricScope) MarshalGQL(w io.Writer) {\n\tfmt.Fprintf(w, \"\\\"%s\\\"\", e)\n}\n\nfunc (e MetricScope) Valid() bool {\n\tgran, ok := metricScopeGranularity[e]\n\treturn ok && gran > 0\n}\n\nfunc (jd *JobData) Size() int {\n\tn := 128\n\tfor _, scopes := range *jd {\n\t\tfor _, metric := range scopes {\n\t\t\tif metric.StatisticsSeries != nil {\n\t\t\t\tn += len(metric.StatisticsSeries.Max)\n\t\t\t\tn += len(metric.StatisticsSeries.Mean)\n\t\t\t\tn += len(metric.StatisticsSeries.Median)\n\t\t\t\tn += len(metric.StatisticsSeries.Min)\n\t\t\t}\n\n\t\t\tfor _, series := range metric.Series {\n\t\t\t\tn += len(series.Data)\n\t\t\t}\n\t\t}\n\t}\n\treturn n * int(unsafe.Sizeof(Float(0)))\n}\n\nconst smooth bool = false\n\nfunc (jm *JobMetric) AddStatisticsSeries() {\n\tif jm.StatisticsSeries != nil || len(jm.Series) < 4 {\n\t\treturn\n\t}\n\n\tn, m := 0, len(jm.Series[0].Data)\n\tfor _, series := range jm.Series {\n\t\tif len(series.Data) > n {\n\t\t\tn = len(series.Data)\n\t\t}\n\t\tif len(series.Data) < m {\n\t\t\tm = len(series.Data)\n\t\t}\n\t}\n\n\t// mean := make([]Float, n)\n\tmin, median, max := make([]Float, n), make([]Float, n), make([]Float, n)\n\ti := 0\n\tfor ; i < m; i++ {\n\t\tseriesCount := len(jm.Series)\n\t\t// ssum := 0.0\n\t\tsmin, smed, smax := math.MaxFloat32, make([]float64, seriesCount), -math.MaxFloat32\n\t\tnotnan := 0\n\t\tfor j := range seriesCount {\n\t\t\tx := float64(jm.Series[j].Data[i])\n\t\t\tif math.IsNaN(x) {\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tnotnan += 1\n\t\t\t// ssum += x\n\t\t\tsmed[j] = x\n\t\t\tsmin = math.Min(smin, x)\n\t\t\tsmax = math.Max(smax, x)\n\t\t}\n\n\t\tif notnan < 3 {\n\t\t\tmin[i] = NaN\n\t\t\t// mean[i] = NaN\n\t\t\tmedian[i] = NaN\n\t\t\tmax[i] = NaN\n\t\t} else {\n\t\t\tmin[i] = Float(smin)\n\t\t\t// mean[i] = Float(ssum / float64(notnan))\n\t\t\tmax[i] = Float(smax)\n\n\t\t\tmedianRaw, err := util.Median(smed)\n\t\t\tif err != nil {\n\t\t\t\tmedian[i] = NaN\n\t\t\t} else {\n\t\t\t\tmedian[i] = Float(medianRaw)\n\t\t\t}\n\t\t}\n\t}\n\n\tfor ; i < n; i++ {\n\t\tmin[i] = NaN\n\t\t// mean[i] = NaN\n\t\tmedian[i] = NaN\n\t\tmax[i] = NaN\n\t}\n\n\tif smooth {\n\t\tfor i := 2; i < len(median)-2; i++ {\n\t\t\tif min[i].IsNaN() {\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tmin[i] = (min[i-2] + min[i-1] + min[i] + min[i+1] + min[i+2]) / 5\n\t\t\tmax[i] = (max[i-2] + max[i-1] + max[i] + max[i+1] + max[i+2]) / 5\n\t\t\t// mean[i] = (mean[i-2] + mean[i-1] + mean[i] + mean[i+1] + mean[i+2]) / 5\n\t\t\t// Reduce Median further\n\t\t\tsmoothRaw := []float64{float64(median[i-2]), float64(median[i-1]), float64(median[i]), float64(median[i+1]), float64(median[i+2])}\n\t\t\tsmoothMedian, err := util.Median(smoothRaw)\n\t\t\tif err != nil {\n\t\t\t\tmedian[i] = NaN\n\t\t\t} else {\n\t\t\t\tmedian[i] = Float(smoothMedian)\n\t\t\t}\n\t\t}\n\t}\n\n\tjm.StatisticsSeries = &StatsSeries{Median: median, Min: min, Max: max} // Mean: mean\n}\n\nfunc (jd *JobData) AddNodeScope(metric string) bool {\n\tscopes, ok := (*jd)[metric]\n\tif !ok {\n\t\treturn false\n\t}\n\n\tmaxScope := MetricScopeInvalid\n\tfor scope := range scopes {\n\t\tmaxScope = maxScope.Max(scope)\n\t}\n\n\tif maxScope == MetricScopeInvalid || maxScope == MetricScopeNode {\n\t\treturn false\n\t}\n\n\tjm := scopes[maxScope]\n\thosts := make(map[string][]Series, 32)\n\tfor _, series := range jm.Series {\n\t\thosts[series.Hostname] = append(hosts[series.Hostname], series)\n\t}\n\n\tnodeJm := &JobMetric{\n\t\tUnit:     jm.Unit,\n\t\tTimestep: jm.Timestep,\n\t\tSeries:   make([]Series, 0, len(hosts)),\n\t}\n\tfor hostname, series := range hosts {\n\t\tmin, sum, max := math.MaxFloat32, 0.0, -math.MaxFloat32\n\t\tfor _, series := range series {\n\t\t\tsum += series.Statistics.Avg\n\t\t\tmin = math.Min(min, series.Statistics.Min)\n\t\t\tmax = math.Max(max, series.Statistics.Max)\n\t\t}\n\n\t\tn, m := 0, len(jm.Series[0].Data)\n\t\tfor _, series := range jm.Series {\n\t\t\tif len(series.Data) > n {\n\t\t\t\tn = len(series.Data)\n\t\t\t}\n\t\t\tif len(series.Data) < m {\n\t\t\t\tm = len(series.Data)\n\t\t\t}\n\t\t}\n\n\t\ti, data := 0, make([]Float, len(series[0].Data))\n\t\tfor ; i < m; i++ {\n\t\t\tx := Float(0.0)\n\t\t\tfor _, series := range jm.Series {\n\t\t\t\tx += series.Data[i]\n\t\t\t}\n\t\t\tdata[i] = x\n\t\t}\n\n\t\tfor ; i < n; i++ {\n\t\t\tdata[i] = NaN\n\t\t}\n\n\t\tnodeJm.Series = append(nodeJm.Series, Series{\n\t\t\tHostname:   hostname,\n\t\t\tStatistics: MetricStatistics{Min: min, Avg: sum / float64(len(series)), Max: max},\n\t\t\tData:       data,\n\t\t})\n\t}\n\n\tscopes[MetricScopeNode] = nodeJm\n\treturn true\n}\n\nfunc (jd *JobData) RoundMetricStats() {\n\t// TODO: Make Digit-Precision Configurable? (Currently: Fixed to 2 Digits)\n\tfor _, scopes := range *jd {\n\t\tfor _, jm := range scopes {\n\t\t\tfor index := range jm.Series {\n\t\t\t\tjm.Series[index].Statistics = MetricStatistics{\n\t\t\t\t\tAvg: (math.Round(jm.Series[index].Statistics.Avg*100) / 100),\n\t\t\t\t\tMin: (math.Round(jm.Series[index].Statistics.Min*100) / 100),\n\t\t\t\t\tMax: (math.Round(jm.Series[index].Statistics.Max*100) / 100),\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n}\n\nfunc (sjs *ScopedJobStats) RoundScopedMetricStats() {\n\t// TODO: Make Digit-Precision Configurable? (Currently: Fixed to 2 Digits)\n\tfor _, scopes := range *sjs {\n\t\tfor _, stats := range scopes {\n\t\t\tfor index := range stats {\n\t\t\t\troundedStats := MetricStatistics{\n\t\t\t\t\tAvg: (math.Round(stats[index].Data.Avg*100) / 100),\n\t\t\t\t\tMin: (math.Round(stats[index].Data.Min*100) / 100),\n\t\t\t\t\tMax: (math.Round(stats[index].Data.Max*100) / 100),\n\t\t\t\t}\n\t\t\t\tstats[index].Data = &roundedStats\n\t\t\t}\n\t\t}\n\t}\n}\n\nfunc (jm *JobMetric) AddPercentiles(ps []int) bool {\n\tif jm.StatisticsSeries == nil {\n\t\tjm.AddStatisticsSeries()\n\t}\n\n\tif len(jm.Series) < 3 {\n\t\treturn false\n\t}\n\n\tif jm.StatisticsSeries.Percentiles == nil {\n\t\tjm.StatisticsSeries.Percentiles = make(map[int][]Float, len(ps))\n\t}\n\n\tn := 0\n\tfor _, series := range jm.Series {\n\t\tif len(series.Data) > n {\n\t\t\tn = len(series.Data)\n\t\t}\n\t}\n\n\tdata := make([][]float64, n)\n\tfor i := range n {\n\t\tvals := make([]float64, 0, len(jm.Series))\n\t\tfor _, series := range jm.Series {\n\t\t\tif i < len(series.Data) {\n\t\t\t\tvals = append(vals, float64(series.Data[i]))\n\t\t\t}\n\t\t}\n\n\t\tsort.Float64s(vals)\n\t\tdata[i] = vals\n\t}\n\n\tfor _, p := range ps {\n\t\tif p < 1 || p > 99 {\n\t\t\tpanic(\"SCHEMA/METRICS > invalid percentile\")\n\t\t}\n\n\t\tif _, ok := jm.StatisticsSeries.Percentiles[p]; ok {\n\t\t\tcontinue\n\t\t}\n\n\t\tpercentiles := make([]Float, n)\n\t\tfor i := range n {\n\t\t\tsorted := data[i]\n\t\t\tpercentiles[i] = Float(sorted[(len(sorted)*p)/100])\n\t\t}\n\n\t\tjm.StatisticsSeries.Percentiles[p] = percentiles\n\t}\n\n\treturn true\n}\n","structuredPatch":[{"oldStart":304,"oldLines":21,"newStart":304,"newLines":21,"lines":["       max = math.Max(max, series.Statistics.Max)","     }"," ","-    n, m := 0, len(jm.Series[0].Data)","-    for _, series := range jm.Series {","-      if len(series.Data) > n {","-        n = len(series.Data)","+    n, m := 0, len(series[0].Data)","+    for _, s := range series {","+      if len(s.Data) > n {","+        n = len(s.Data)","       }","-      if len(series.Data) < m {","-        m = len(series.Data)","+      if len(s.Data) < m {","+        m = len(s.Data)","       }","     }"," ","-    i, data := 0, make([]Float, len(series[0].Data))","+    i, data := 0, make([]Float, n)","     for ; i < m; i++ {","       x := Float(0.0)","-      for _, series := range jm.Series {","-        x += series.Data[i]","+      for _, s := range series {","+        x += s.Data[i]","       }","       data[i] = x","     }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"be38eeaf-eac2-4c54-badc-ff31e775b096","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"}
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+{"parentUuid":"76b3228d-095c-4d67-9dbb-52803152778c","isSidechain":false,"promptId":"6996e93a-15e5-4605-839c-80588e7ae3fa","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QtJ3Ce4NygxVt79aP98Pj4","type":"tool_result","content":"   306→\n   307→\t\tn, m := 0, len(series[0].Data)\n   308→\t\tfor _, s := range series {\n   309→\t\t\tif len(s.Data) > n {\n   310→\t\t\t\tn = len(s.Data)\n   311→\t\t\t}\n   312→\t\t\tif len(s.Data) < m {\n   313→\t\t\t\tm = len(s.Data)\n   314→\t\t\t}\n   315→\t\t}\n   316→\n   317→\t\ti, data := 0, make([]Float, n)\n   318→\t\tfor ; i < m; i++ {\n   319→\t\t\tx := Float(0.0)\n   320→\t\t\tfor _, s := range series {\n   321→\t\t\t\tx += s.Data[i]\n   322→\t\t\t}\n   323→\t\t\tdata[i] = x\n   324→\t\t}\n   325→\n   326→\t\tfor ; i < n; i++ {\n   327→\t\t\tdata[i] = NaN\n   328→\t\t}\n   329→\n   330→\t\tnodeJm.Series = append(nodeJm.Series, Series{\n   331→\t\t\tHostname:   hostname,\n   332→\t\t\tStatistics: MetricStatistics{Min: min, Avg: sum / float64(len(series)), Max: max},\n   333→\t\t\tData:       data,\n   334→\t\t})\n   335→\t}"}]},"uuid":"9c608de6-632a-4609-9bc2-6253abda8c1f","timestamp":"2026-03-16T07:46:16.739Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-lib/schema/metrics.go","content":"\n\t\tn, m := 0, len(series[0].Data)\n\t\tfor _, s := range series {\n\t\t\tif len(s.Data) > n {\n\t\t\t\tn = len(s.Data)\n\t\t\t}\n\t\t\tif len(s.Data) < m {\n\t\t\t\tm = len(s.Data)\n\t\t\t}\n\t\t}\n\n\t\ti, data := 0, make([]Float, n)\n\t\tfor ; i < m; i++ {\n\t\t\tx := Float(0.0)\n\t\t\tfor _, s := range series {\n\t\t\t\tx += s.Data[i]\n\t\t\t}\n\t\t\tdata[i] = x\n\t\t}\n\n\t\tfor ; i < n; i++ {\n\t\t\tdata[i] = NaN\n\t\t}\n\n\t\tnodeJm.Series = append(nodeJm.Series, Series{\n\t\t\tHostname:   hostname,\n\t\t\tStatistics: MetricStatistics{Min: min, Avg: sum / float64(len(series)), Max: max},\n\t\t\tData:       data,\n\t\t})\n\t}","numLines":30,"startLine":306,"totalLines":425}},"sourceToolAssistantUUID":"76b3228d-095c-4d67-9dbb-52803152778c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"}
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+{"parentUuid":"9d00f0b1-193b-410f-91a2-879caffb1986","isSidechain":false,"promptId":"6996e93a-15e5-4605-839c-80588e7ae3fa","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015Gj9GgBiw1KRFnrzk7dmEA","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-lib.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package schema\n     7→\n     8→import (\n     9→\t\"fmt\"\n    10→\t\"io\"\n    11→\t\"math\"\n    12→\t\"sort\"\n    13→\t\"unsafe\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n    16→)\n    17→\n    18→// JobData maps metric names to their data organized by scope.\n    19→// Structure: map[metricName]map[scope]*JobMetric\n    20→//\n    21→// For example: jobData[\"cpu_load\"][MetricScopeNode] contains node-level CPU load data.\n    22→// This structure allows efficient lookup of metrics at different hierarchical levels.\n    23→type JobData map[string]map[MetricScope]*JobMetric\n    24→\n    25→// ScopedJobStats maps metric names to statistical summaries organized by scope.\n    26→// Structure: map[metricName]map[scope][]*ScopedStats\n    27→//\n    28→// Used to store pre-computed statistics without the full time series data,\n    29→// reducing memory footprint when only aggregated values are needed.\n    30→type ScopedJobStats map[string]map[MetricScope][]*ScopedStats\n    31→\n    32→// JobMetric contains time series data and statistics for a single metric.\n    33→//\n    34→// The Series field holds time series data from individual nodes/hardware components,\n    35→// while StatisticsSeries provides aggregated statistics across all series over time.\n    36→type JobMetric struct {\n    37→\tStatisticsSeries *StatsSeries `json:\"statisticsSeries,omitempty\"` // Aggregated statistics over time\n    38→\tUnit             Unit         `json:\"unit\"`                       // Unit of measurement\n    39→\tSeries           []Series     `json:\"series\"`                     // Individual time series data\n    40→\tTimestep         int          `json:\"timestep\"`                   // Sampling interval in seconds\n    41→}\n    42→\n    43→// Series represents a single time series of metric measurements.\n    44→//\n    45→// Each series corresponds to one source (e.g., one node, one core) identified by Hostname and optional ID.\n    46→// The Data field contains the time-ordered measurements, and Statistics provides min/avg/max summaries.\n    47→type Series struct {\n    48→\tID         *string          `json:\"id,omitempty\"` // Optional ID (e.g., core ID, GPU ID)\n    49→\tHostname   string           `json:\"hostname\"`     // Source hostname\n    50→\tData       []Float          `json:\"data\"`         // Time series measurements\n    51→\tStatistics MetricStatistics `json:\"statistics\"`   // Statistical summary (min/avg/max)\n    52→}\n    53→\n    54→// ScopedStats contains statistical summaries for a specific scope (e.g., one node, one socket).\n    55→// Used when full time series data isn't needed, only the aggregated statistics.\n    56→type ScopedStats struct {\n    57→\tHostname string            `json:\"hostname\"`     // Source hostname\n    58→\tID       *string           `json:\"id,omitempty\"` // Optional scope ID\n    59→\tData     *MetricStatistics `json:\"data\"`         // Statistical summary\n    60→}"}]},"uuid":"b3aaba50-a0ce-4da3-aeeb-45487a367040","timestamp":"2026-03-16T07:46:38.391Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-lib/schema/metrics.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-lib.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage schema\n\nimport (\n\t\"fmt\"\n\t\"io\"\n\t\"math\"\n\t\"sort\"\n\t\"unsafe\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// JobData maps metric names to their data organized by scope.\n// Structure: map[metricName]map[scope]*JobMetric\n//\n// For example: jobData[\"cpu_load\"][MetricScopeNode] contains node-level CPU load data.\n// This structure allows efficient lookup of metrics at different hierarchical levels.\ntype JobData map[string]map[MetricScope]*JobMetric\n\n// ScopedJobStats maps metric names to statistical summaries organized by scope.\n// Structure: map[metricName]map[scope][]*ScopedStats\n//\n// Used to store pre-computed statistics without the full time series data,\n// reducing memory footprint when only aggregated values are needed.\ntype ScopedJobStats map[string]map[MetricScope][]*ScopedStats\n\n// JobMetric contains time series data and statistics for a single metric.\n//\n// The Series field holds time series data from individual nodes/hardware components,\n// while StatisticsSeries provides aggregated statistics across all series over time.\ntype JobMetric struct {\n\tStatisticsSeries *StatsSeries `json:\"statisticsSeries,omitempty\"` // Aggregated statistics over time\n\tUnit             Unit         `json:\"unit\"`                       // Unit of measurement\n\tSeries           []Series     `json:\"series\"`                     // Individual time series data\n\tTimestep         int          `json:\"timestep\"`                   // Sampling interval in seconds\n}\n\n// Series represents a single time series of metric measurements.\n//\n// Each series corresponds to one source (e.g., one node, one core) identified by Hostname and optional ID.\n// The Data field contains the time-ordered measurements, and Statistics provides min/avg/max summaries.\ntype Series struct {\n\tID         *string          `json:\"id,omitempty\"` // Optional ID (e.g., core ID, GPU ID)\n\tHostname   string           `json:\"hostname\"`     // Source hostname\n\tData       []Float          `json:\"data\"`         // Time series measurements\n\tStatistics MetricStatistics `json:\"statistics\"`   // Statistical summary (min/avg/max)\n}\n\n// ScopedStats contains statistical summaries for a specific scope (e.g., one node, one socket).\n// Used when full time series data isn't needed, only the aggregated statistics.\ntype ScopedStats struct {\n\tHostname string            `json:\"hostname\"`     // Source hostname\n\tID       *string           `json:\"id,omitempty\"` // Optional scope ID\n\tData     *MetricStatistics `json:\"data\"`         // Statistical summary\n}","numLines":60,"startLine":1,"totalLines":425}},"sourceToolAssistantUUID":"9d00f0b1-193b-410f-91a2-879caffb1986","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"}
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+{"parentUuid":"2adba59c-d830-4920-b49f-a6465ff9da0b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017UaxmJuc1zrMovoyBTPv75","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011TuQwzpxYhyjw45S3wkG6L","name":"Write","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-lib/schema/metrics_test.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-lib.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage schema\n\nimport (\n\t\"testing\"\n)\n\nfunc TestAddNodeScope(t *testing.T) {\n\t// Two hosts with core-level data of different lengths.\n\t// host1 has 2 cores with 3 data points each.\n\t// host2 has 2 cores with 5 data points each.\n\tjd := JobData{\n\t\t\"flops_any\": {\n\t\t\tMetricScopeCore: &JobMetric{\n\t\t\t\tUnit:     Unit{Base: \"F/s\"},\n\t\t\t\tTimestep: 10,\n\t\t\t\tSeries: []Series{\n\t\t\t\t\t{Hostname: \"host1\", Data: []Float{1, 2, 3}, Statistics: MetricStatistics{Min: 1, Avg: 2, Max: 3}},\n\t\t\t\t\t{Hostname: \"host1\", Data: []Float{4, 5, 6}, Statistics: MetricStatistics{Min: 4, Avg: 5, Max: 6}},\n\t\t\t\t\t{Hostname: \"host2\", Data: []Float{10, 20, 30, 40, 50}, Statistics: MetricStatistics{Min: 10, Avg: 30, Max: 50}},\n\t\t\t\t\t{Hostname: \"host2\", Data: []Float{100, 200, 300, 400, 500}, Statistics: MetricStatistics{Min: 100, Avg: 300, Max: 500}},\n\t\t\t\t},\n\t\t\t},\n\t\t},\n\t}\n\n\tok := jd.AddNodeScope(\"flops_any\")\n\tif !ok {\n\t\tt.Fatal(\"AddNodeScope returned false\")\n\t}\n\n\tnodeMetric, exists := jd[\"flops_any\"][MetricScopeNode]\n\tif !exists {\n\t\tt.Fatal(\"node scope not created\")\n\t}\n\n\tif len(nodeMetric.Series) != 2 {\n\t\tt.Fatalf(\"expected 2 node series, got %d\", len(nodeMetric.Series))\n\t}\n\n\t// Build a map for deterministic checking (range over map is random order).\n\tbyHost := make(map[string]Series)\n\tfor _, s := range nodeMetric.Series {\n\t\tbyHost[s.Hostname] = s\n\t}\n\n\t// host1: sum of cores = [1+4, 2+5, 3+6] = [5, 7, 9], length 3\n\th1 := byHost[\"host1\"]\n\tif len(h1.Data) != 3 {\n\t\tt.Fatalf(\"host1: expected 3 data points, got %d\", len(h1.Data))\n\t}\n\texpectH1 := []Float{5, 7, 9}\n\tfor i, v := range expectH1 {\n\t\tif h1.Data[i] != v {\n\t\t\tt.Errorf(\"host1 data[%d]: expected %v, got %v\", i, v, h1.Data[i])\n\t\t}\n\t}\n\n\t// host2: sum of cores = [110, 220, 330, 440, 550], length 5\n\th2 := byHost[\"host2\"]\n\tif len(h2.Data) != 5 {\n\t\tt.Fatalf(\"host2: expected 5 data points, got %d\", len(h2.Data))\n\t}\n\texpectH2 := []Float{110, 220, 330, 440, 550}\n\tfor i, v := range expectH2 {\n\t\tif h2.Data[i] != v {\n\t\t\tt.Errorf(\"host2 data[%d]: expected %v, got %v\", i, v, h2.Data[i])\n\t\t}\n\t}\n}\n\nfunc TestAddNodeScopeUnevenCores(t *testing.T) {\n\t// Same host, cores with different data lengths.\n\tjd := JobData{\n\t\t\"mem_bw\": {\n\t\t\tMetricScopeCore: &JobMetric{\n\t\t\t\tUnit:     Unit{Base: \"B/s\"},\n\t\t\t\tTimestep: 10,\n\t\t\t\tSeries: []Series{\n\t\t\t\t\t{Hostname: \"node1\", Data: []Float{1, 2, 3}, Statistics: MetricStatistics{Min: 1, Avg: 2, Max: 3}},\n\t\t\t\t\t{Hostname: \"node1\", Data: []Float{10, 20, 30, 40, 50}, Statistics: MetricStatistics{Min: 10, Avg: 30, Max: 50}},\n\t\t\t\t},\n\t\t\t},\n\t\t},\n\t}\n\n\tok := jd.AddNodeScope(\"mem_bw\")\n\tif !ok {\n\t\tt.Fatal(\"AddNodeScope returned false\")\n\t}\n\n\tnodeMetric := jd[\"mem_bw\"][MetricScopeNode]\n\tif len(nodeMetric.Series) != 1 {\n\t\tt.Fatalf(\"expected 1 node series, got %d\", len(nodeMetric.Series))\n\t}\n\n\ts := nodeMetric.Series[0]\n\t// n=5 (max length), m=3 (min length)\n\t// data[0..2] = sum, data[3..4] = NaN\n\tif len(s.Data) != 5 {\n\t\tt.Fatalf(\"expected 5 data points, got %d\", len(s.Data))\n\t}\n\n\texpect := []Float{11, 22, 33}\n\tfor i, v := range expect {\n\t\tif s.Data[i] != v {\n\t\t\tt.Errorf(\"data[%d]: expected %v, got %v\", i, v, s.Data[i])\n\t\t}\n\t}\n\n\t// Remaining should be NaN\n\tfor i := 3; i < 5; i++ {\n\t\tif !s.Data[i].IsNaN() {\n\t\t\tt.Errorf(\"data[%d]: expected NaN, got %v\", i, s.Data[i])\n\t\t}\n\t}\n}\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":776,"cache_read_input_tokens":24457,"output_tokens":1627,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":776,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6PWfmaVbBAkJaJfwn22","type":"assistant","uuid":"2486f437-cbbf-46b6-84cb-ba1c60e206ed","timestamp":"2026-03-16T07:47:10.307Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"}
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+{"parentUuid":"0fb7f73e-1387-43fd-ab26-b4984c90b67f","isSidechain":false,"promptId":"807decf9-6fba-46ef-86b3-8a871a0dbbdf","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01W59LgvCnmZQFhfSZHv5NXH","type":"tool_result","content":"     1→# Fix: Panic in `AddNodeScope` (cc-lib v2.8.2)\n     2→\n     3→## Context\n     4→\n     5→The archiver crashes with `panic: runtime error: index out of range [4] with length 4` at `schema/metrics.go:327` in `AddNodeScope`. This happens during job archiving when `LoadData` calls `jd.AddNodeScope(\"flops_any\")` or `jd.AddNodeScope(\"mem_bw\")` (dataLoader.go:214-215).\n     6→\n     7→## Root Cause (in cc-lib)\n     8→\n     9→`AddNodeScope` aggregates sub-node metrics (e.g., per-core) into node-level values. It has **two bugs**, both in `schema/metrics.go:299-328`:\n    10→\n    11→### Bug 1 — The crash (line 327)\n    12→- Line 317: `data` is allocated with `len(series[0].Data)` — the current hostname's first sub-series length (e.g., 4)\n    13→- Lines 307-315: `n` (max data length) is computed across **ALL** `jm.Series` (all hostnames), not just the current hostname\n    14→- Lines 326-328: The loop `for ; i < n; i++ { data[i] = NaN }` writes past `data`'s bounds when another hostname has longer data\n    15→\n    16→### Bug 2 — Logic error (lines 318-323)\n    17→- The summation loop iterates `jm.Series` (ALL hostnames' sub-node series) instead of the local `series` (current hostname only)\n    18→- This means each node-level value is the sum across ALL hosts, not just that host's sub-node metrics\n    19→\n    20→## Fix (in cc-lib `schema/metrics.go`)\n    21→\n    22→Replace lines 307-324 to use the local `series` variable (current hostname) instead of `jm.Series` (all hostnames):\n    23→\n    24→```go\n    25→// Before (BUGGY):\n    26→n, m := 0, len(jm.Series[0].Data)\n    27→for _, series := range jm.Series {\n    28→    ...\n    29→}\n    30→i, data := 0, make([]Float, len(series[0].Data))\n    31→for ; i < m; i++ {\n    32→    x := Float(0.0)\n    33→    for _, series := range jm.Series {\n    34→        x += series.Data[i]\n    35→    }\n    36→    data[i] = x\n    37→}\n    38→\n    39→// After (FIXED):\n    40→n, m := 0, len(series[0].Data)\n    41→for _, s := range series {\n    42→    if len(s.Data) > n {\n    43→        n = len(s.Data)\n    44→    }\n    45→    if len(s.Data) < m {\n    46→        m = len(s.Data)\n    47→    }\n    48→}\n    49→i, data := 0, make([]Float, n)\n    50→for ; i < m; i++ {\n    51→    x := Float(0.0)\n    52→    for _, s := range series {\n    53→        x += s.Data[i]\n    54→    }\n    55→    data[i] = x\n    56→}\n    57→```\n    58→\n    59→Key changes:\n    60→1. `n`/`m` computed from local `series` (current hostname), not `jm.Series`\n    61→2. `data` sized to `n` (max length for this host), not `series[0].Data` length\n    62→3. Summation iterates local `series`, not `jm.Series`\n    63→\n    64→## Where to Apply\n    65→\n    66→The fix is in **cc-lib** (`schema/metrics.go:307-324`), not cc-backend. Options:\n    67→\n    68→1. **Fix in cc-lib** — update `AddNodeScope` and release a new version, then bump the dependency in cc-backend\n    69→2. **Workaround in cc-backend** — add a defensive wrapper in `dataLoader.go` before calling `AddNodeScope` (e.g., check series lengths), but this only masks the logic bug\n    70→\n    71→**Recommended: Option 1** — fix cc-lib.\n    72→\n    73→## Verification\n    74→\n    75→- Unit test: create a `JobData` with sub-node metrics where different hosts have different data lengths, call `AddNodeScope`, verify no panic and correct aggregation\n    76→- Integration: archive a job with mixed-length metric data\n    77→"}]},"uuid":"fbb5031b-9cae-4f33-a976-57cb6c6e3f07","timestamp":"2026-03-16T07:49:27.782Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/.claude/plans/frolicking-splashing-kay.md","content":"# Fix: Panic in `AddNodeScope` (cc-lib v2.8.2)\n\n## Context\n\nThe archiver crashes with `panic: runtime error: index out of range [4] with length 4` at `schema/metrics.go:327` in `AddNodeScope`. This happens during job archiving when `LoadData` calls `jd.AddNodeScope(\"flops_any\")` or `jd.AddNodeScope(\"mem_bw\")` (dataLoader.go:214-215).\n\n## Root Cause (in cc-lib)\n\n`AddNodeScope` aggregates sub-node metrics (e.g., per-core) into node-level values. It has **two bugs**, both in `schema/metrics.go:299-328`:\n\n### Bug 1 — The crash (line 327)\n- Line 317: `data` is allocated with `len(series[0].Data)` — the current hostname's first sub-series length (e.g., 4)\n- Lines 307-315: `n` (max data length) is computed across **ALL** `jm.Series` (all hostnames), not just the current hostname\n- Lines 326-328: The loop `for ; i < n; i++ { data[i] = NaN }` writes past `data`'s bounds when another hostname has longer data\n\n### Bug 2 — Logic error (lines 318-323)\n- The summation loop iterates `jm.Series` (ALL hostnames' sub-node series) instead of the local `series` (current hostname only)\n- This means each node-level value is the sum across ALL hosts, not just that host's sub-node metrics\n\n## Fix (in cc-lib `schema/metrics.go`)\n\nReplace lines 307-324 to use the local `series` variable (current hostname) instead of `jm.Series` (all hostnames):\n\n```go\n// Before (BUGGY):\nn, m := 0, len(jm.Series[0].Data)\nfor _, series := range jm.Series {\n    ...\n}\ni, data := 0, make([]Float, len(series[0].Data))\nfor ; i < m; i++ {\n    x := Float(0.0)\n    for _, series := range jm.Series {\n        x += series.Data[i]\n    }\n    data[i] = x\n}\n\n// After (FIXED):\nn, m := 0, len(series[0].Data)\nfor _, s := range series {\n    if len(s.Data) > n {\n        n = len(s.Data)\n    }\n    if len(s.Data) < m {\n        m = len(s.Data)\n    }\n}\ni, data := 0, make([]Float, n)\nfor ; i < m; i++ {\n    x := Float(0.0)\n    for _, s := range series {\n        x += s.Data[i]\n    }\n    data[i] = x\n}\n```\n\nKey changes:\n1. `n`/`m` computed from local `series` (current hostname), not `jm.Series`\n2. `data` sized to `n` (max length for this host), not `series[0].Data` length\n3. Summation iterates local `series`, not `jm.Series`\n\n## Where to Apply\n\nThe fix is in **cc-lib** (`schema/metrics.go:307-324`), not cc-backend. Options:\n\n1. **Fix in cc-lib** — update `AddNodeScope` and release a new version, then bump the dependency in cc-backend\n2. **Workaround in cc-backend** — add a defensive wrapper in `dataLoader.go` before calling `AddNodeScope` (e.g., check series lengths), but this only masks the logic bug\n\n**Recommended: Option 1** — fix cc-lib.\n\n## Verification\n\n- Unit test: create a `JobData` with sub-node metrics where different hosts have different data lengths, call `AddNodeScope`, verify no panic and correct aggregation\n- Integration: archive a job with mixed-length metric data\n","numLines":77,"startLine":1,"totalLines":77}},"sourceToolAssistantUUID":"0fb7f73e-1387-43fd-ab26-b4984c90b67f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"}
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This file is part of cc-lib.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package schema\n     7→\n     8→import (\n     9→\t\"fmt\"\n    10→\t\"io\"\n    11→\t\"math\"\n    12→\t\"sort\"\n    13→\t\"unsafe\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n    16→)\n    17→\n    18→// JobData maps metric names to their data organized by scope.\n    19→// Structure: map[metricName]map[scope]*JobMetric\n    20→//\n    21→// For example: jobData[\"cpu_load\"][MetricScopeNode] contains node-level CPU load data.\n    22→// This structure allows efficient lookup of metrics at different hierarchical levels.\n    23→type JobData map[string]map[MetricScope]*JobMetric\n    24→\n    25→// ScopedJobStats maps metric names to statistical summaries organized by scope.\n    26→// Structure: map[metricName]map[scope][]*ScopedStats\n    27→//\n    28→// Used to store pre-computed statistics without the full time series data,\n    29→// reducing memory footprint when only aggregated values are needed.\n    30→type ScopedJobStats map[string]map[MetricScope][]*ScopedStats\n    31→\n    32→// JobMetric contains time series data and statistics for a single metric.\n    33→//\n    34→// The Series field holds time series data from individual nodes/hardware components,\n    35→// while StatisticsSeries provides aggregated statistics across all series over time.\n    36→type JobMetric struct {\n    37→\tStatisticsSeries *StatsSeries `json:\"statisticsSeries,omitempty\"` // Aggregated statistics over time\n    38→\tUnit             Unit         `json:\"unit\"`                       // Unit of measurement\n    39→\tSeries           []Series     `json:\"series\"`                     // Individual time series data\n    40→\tTimestep         int          `json:\"timestep\"`                   // Sampling interval in seconds\n    41→}\n    42→\n    43→// Series represents a single time series of metric measurements.\n    44→//\n    45→// Each series corresponds to one source (e.g., one node, one core) identified by Hostname and optional ID.\n    46→// The Data field contains the time-ordered measurements, and Statistics provides min/avg/max summaries.\n    47→type Series struct {\n    48→\tID         *string          `json:\"id,omitempty\"` // Optional ID (e.g., core ID, GPU ID)\n    49→\tHostname   string           `json:\"hostname\"`     // Source hostname\n    50→\tData       []Float          `json:\"data\"`         // Time series measurements\n    51→\tStatistics MetricStatistics `json:\"statistics\"`   // Statistical summary (min/avg/max)\n    52→}\n    53→\n    54→// ScopedStats contains statistical summaries for a specific scope (e.g., one node, one socket).\n    55→// Used when full time series data isn't needed, only the aggregated statistics.\n    56→type ScopedStats struct {\n    57→\tHostname string            `json:\"hostname\"`     // Source hostname\n    58→\tID       *string           `json:\"id,omitempty\"` // Optional scope ID\n    59→\tData     *MetricStatistics `json:\"data\"`         // Statistical summary\n    60→}\n    61→\n    62→// MetricStatistics holds statistical summary values for metric data.\n    63→// Provides the common statistical aggregations used throughout ClusterCockpit.\n    64→type MetricStatistics struct {\n    65→\tAvg float64 `json:\"avg\"` // Average/mean value\n    66→\tMin float64 `json:\"min\"` // Minimum value\n    67→\tMax float64 `json:\"max\"` // Maximum value\n    68→}\n    69→\n    70→// StatsSeries contains aggregated statistics across multiple time series over time.\n    71→//\n    72→// Instead of storing individual series, this provides statistical summaries at each time step.\n    73→// For example, at time t, Mean[t] is the average value across all series at that time.\n    74→// Percentiles provides specified percentile values at each time step.\n    75→type StatsSeries struct {\n    76→\tPercentiles map[int][]Float `json:\"percentiles,omitempty\"` // Percentile values over time (e.g., 10th, 50th, 90th)\n    77→\tMean        []Float         `json:\"mean\"`                  // Mean values over time\n    78→\tMedian      []Float         `json:\"median\"`                // Median values over time\n    79→\tMin         []Float         `json:\"min\"`                   // Minimum values over time\n    80→\tMax         []Float         `json:\"max\"`                   // Maximum values over time\n    81→}\n    82→\n    83→// MetricScope defines the hierarchical level at which a metric is measured.\n    84→//\n    85→// Scopes form a hierarchy from coarse-grained (node) to fine-grained (hwthread/accelerator):\n    86→//\n    87→//\tnode > socket > memoryDomain > core > hwthread\n    88→//\taccelerator is a special scope at the same level as hwthread\n    89→//\n    90→// The scopePrecedence map defines numeric ordering for scope comparisons,\n    91→// which is used when aggregating metrics across different scopes.\n    92→type MetricScope string\n    93→\n    94→const (\n    95→\tMetricScopeInvalid MetricScope = \"invalid_scope\"\n    96→\n    97→\tMetricScopeNode         MetricScope = \"node\"\n    98→\tMetricScopeSocket       MetricScope = \"socket\"\n    99→\tMetricScopeMemoryDomain MetricScope = \"memoryDomain\"\n   100→\tMetricScopeCore         MetricScope = \"core\"\n   101→\tMetricScopeHWThread     MetricScope = \"hwthread\"\n   102→\n   103→\t// TODO: Add Job and Application scopes\n   104→\n   105→\tMetricScopeAccelerator MetricScope = \"accelerator\"\n   106→)\n   107→\n   108→var metricScopeGranularity map[MetricScope]int = map[MetricScope]int{\n   109→\tMetricScopeNode:         10,\n   110→\tMetricScopeSocket:       5,\n   111→\tMetricScopeMemoryDomain: 4,\n   112→\tMetricScopeCore:         3,\n   113→\tMetricScopeHWThread:     2,\n   114→\t/* Special-Case Accelerator\n   115→\t * -> No conversion possible if native scope is HWTHREAD\n   116→\t * -> Therefore needs to be less than HWTREAD, else max() would return unhandled case\n   117→\t * -> If nativeScope is accelerator, accelerator metrics return correctly\n   118→\t */\n   119→\tMetricScopeAccelerator: 1,\n   120→\n   121→\tMetricScopeInvalid: -1,\n   122→}\n   123→\n   124→func (e *MetricScope) LT(other MetricScope) bool {\n   125→\ta := metricScopeGranularity[*e]\n   126→\tb := metricScopeGranularity[other]\n   127→\treturn a < b\n   128→}\n   129→\n   130→func (e *MetricScope) LTE(other MetricScope) bool {\n   131→\ta := metricScopeGranularity[*e]\n   132→\tb := metricScopeGranularity[other]\n   133→\treturn a <= b\n   134→}\n   135→\n   136→func (e *MetricScope) Max(other MetricScope) MetricScope {\n   137→\ta := metricScopeGranularity[*e]\n   138→\tb := metricScopeGranularity[other]\n   139→\tif a > b {\n   140→\t\treturn *e\n   141→\t}\n   142→\treturn other\n   143→}\n   144→\n   145→func (e *MetricScope) UnmarshalGQL(v any) error {\n   146→\tstr, ok := v.(string)\n   147→\tif !ok {\n   148→\t\treturn fmt.Errorf(\"SCHEMA/METRICS > enums must be strings\")\n   149→\t}\n   150→\n   151→\t*e = MetricScope(str)\n   152→\tif !e.Valid() {\n   153→\t\treturn fmt.Errorf(\"SCHEMA/METRICS > %s is not a valid MetricScope\", str)\n   154→\t}\n   155→\treturn nil\n   156→}\n   157→\n   158→func (e MetricScope) MarshalGQL(w io.Writer) {\n   159→\tfmt.Fprintf(w, \"\\\"%s\\\"\", e)\n   160→}\n   161→\n   162→func (e MetricScope) Valid() bool {\n   163→\tgran, ok := metricScopeGranularity[e]\n   164→\treturn ok && gran > 0\n   165→}\n   166→\n   167→func (jd *JobData) Size() int {\n   168→\tn := 128\n   169→\tfor _, scopes := range *jd {\n   170→\t\tfor _, metric := range scopes {\n   171→\t\t\tif metric.StatisticsSeries != nil {\n   172→\t\t\t\tn += len(metric.StatisticsSeries.Max)\n   173→\t\t\t\tn += len(metric.StatisticsSeries.Mean)\n   174→\t\t\t\tn += len(metric.StatisticsSeries.Median)\n   175→\t\t\t\tn += len(metric.StatisticsSeries.Min)\n   176→\t\t\t}\n   177→\n   178→\t\t\tfor _, series := range metric.Series {\n   179→\t\t\t\tn += len(series.Data)\n   180→\t\t\t}\n   181→\t\t}\n   182→\t}\n   183→\treturn n * int(unsafe.Sizeof(Float(0)))\n   184→}\n   185→\n   186→const smooth bool = false\n   187→\n   188→func (jm *JobMetric) AddStatisticsSeries() {\n   189→\tif jm.StatisticsSeries != nil || len(jm.Series) < 4 {\n   190→\t\treturn\n   191→\t}\n   192→\n   193→\tn, m := 0, len(jm.Series[0].Data)\n   194→\tfor _, series := range jm.Series {\n   195→\t\tif len(series.Data) > n {\n   196→\t\t\tn = len(series.Data)\n   197→\t\t}\n   198→\t\tif len(series.Data) < m {\n   199→\t\t\tm = len(series.Data)\n   200→\t\t}\n   201→\t}\n   202→\n   203→\t// mean := make([]Float, n)\n   204→\tmin, median, max := make([]Float, n), make([]Float, n), make([]Float, n)\n   205→\ti := 0\n   206→\tfor ; i < m; i++ {\n   207→\t\tseriesCount := len(jm.Series)\n   208→\t\t// ssum := 0.0\n   209→\t\tsmin, smed, smax := math.MaxFloat32, make([]float64, seriesCount), -math.MaxFloat32\n   210→\t\tnotnan := 0\n   211→\t\tfor j := range seriesCount {\n   212→\t\t\tx := float64(jm.Series[j].Data[i])\n   213→\t\t\tif math.IsNaN(x) {\n   214→\t\t\t\tcontinue\n   215→\t\t\t}\n   216→\n   217→\t\t\tnotnan += 1\n   218→\t\t\t// ssum += x\n   219→\t\t\tsmed[j] = x\n   220→\t\t\tsmin = math.Min(smin, x)\n   221→\t\t\tsmax = math.Max(smax, x)\n   222→\t\t}\n   223→\n   224→\t\tif notnan < 3 {\n   225→\t\t\tmin[i] = NaN\n   226→\t\t\t// mean[i] = NaN\n   227→\t\t\tmedian[i] = NaN\n   228→\t\t\tmax[i] = NaN\n   229→\t\t} else {\n   230→\t\t\tmin[i] = Float(smin)\n   231→\t\t\t// mean[i] = Float(ssum / float64(notnan))\n   232→\t\t\tmax[i] = Float(smax)\n   233→\n   234→\t\t\tmedianRaw, err := util.Median(smed)\n   235→\t\t\tif err != nil {\n   236→\t\t\t\tmedian[i] = NaN\n   237→\t\t\t} else {\n   238→\t\t\t\tmedian[i] = Float(medianRaw)\n   239→\t\t\t}\n   240→\t\t}\n   241→\t}\n   242→\n   243→\tfor ; i < n; i++ {\n   244→\t\tmin[i] = NaN\n   245→\t\t// mean[i] = NaN\n   246→\t\tmedian[i] = NaN\n   247→\t\tmax[i] = NaN\n   248→\t}\n   249→\n   250→\tif smooth {\n   251→\t\tfor i := 2; i < len(median)-2; i++ {\n   252→\t\t\tif min[i].IsNaN() {\n   253→\t\t\t\tcontinue\n   254→\t\t\t}\n   255→\n   256→\t\t\tmin[i] = (min[i-2] + min[i-1] + min[i] + min[i+1] + min[i+2]) / 5\n   257→\t\t\tmax[i] = (max[i-2] + max[i-1] + max[i] + max[i+1] + max[i+2]) / 5\n   258→\t\t\t// mean[i] = (mean[i-2] + mean[i-1] + mean[i] + mean[i+1] + mean[i+2]) / 5\n   259→\t\t\t// Reduce Median further\n   260→\t\t\tsmoothRaw := []float64{float64(median[i-2]), float64(median[i-1]), float64(median[i]), float64(median[i+1]), float64(median[i+2])}\n   261→\t\t\tsmoothMedian, err := util.Median(smoothRaw)\n   262→\t\t\tif err != nil {\n   263→\t\t\t\tmedian[i] = NaN\n   264→\t\t\t} else {\n   265→\t\t\t\tmedian[i] = Float(smoothMedian)\n   266→\t\t\t}\n   267→\t\t}\n   268→\t}\n   269→\n   270→\tjm.StatisticsSeries = &StatsSeries{Median: median, Min: min, Max: max} // Mean: mean\n   271→}\n   272→\n   273→func (jd *JobData) AddNodeScope(metric string) bool {\n   274→\tscopes, ok := (*jd)[metric]\n   275→\tif !ok {\n   276→\t\treturn false\n   277→\t}\n   278→\n   279→\tmaxScope := MetricScopeInvalid\n   280→\tfor scope := range scopes {\n   281→\t\tmaxScope = maxScope.Max(scope)\n   282→\t}\n   283→\n   284→\tif maxScope == MetricScopeInvalid || maxScope == MetricScopeNode {\n   285→\t\treturn false\n   286→\t}\n   287→\n   288→\tjm := scopes[maxScope]\n   289→\thosts := make(map[string][]Series, 32)\n   290→\tfor _, series := range jm.Series {\n   291→\t\thosts[series.Hostname] = append(hosts[series.Hostname], series)\n   292→\t}\n   293→\n   294→\tnodeJm := &JobMetric{\n   295→\t\tUnit:     jm.Unit,\n   296→\t\tTimestep: jm.Timestep,\n   297→\t\tSeries:   make([]Series, 0, len(hosts)),\n   298→\t}\n   299→\tfor hostname, series := range hosts {\n   300→\t\tmin, sum, max := math.MaxFloat32, 0.0, -math.MaxFloat32\n   301→\t\tfor _, series := range series {\n   302→\t\t\tsum += series.Statistics.Avg\n   303→\t\t\tmin = math.Min(min, series.Statistics.Min)\n   304→\t\t\tmax = math.Max(max, series.Statistics.Max)\n   305→\t\t}\n   306→\n   307→\t\tn, m := 0, len(series[0].Data)\n   308→\t\tfor _, s := range series {\n   309→\t\t\tif len(s.Data) > n {\n   310→\t\t\t\tn = len(s.Data)\n   311→\t\t\t}\n   312→\t\t\tif len(s.Data) < m {\n   313→\t\t\t\tm = len(s.Data)\n   314→\t\t\t}\n   315→\t\t}\n   316→\n   317→\t\ti, data := 0, make([]Float, n)\n   318→\t\tfor ; i < m; i++ {\n   319→\t\t\tx := Float(0.0)\n   320→\t\t\tfor _, s := range series {\n   321→\t\t\t\tx += s.Data[i]\n   322→\t\t\t}\n   323→\t\t\tdata[i] = x\n   324→\t\t}\n   325→\n   326→\t\tfor ; i < n; i++ {\n   327→\t\t\tdata[i] = NaN\n   328→\t\t}\n   329→\n   330→\t\tnodeJm.Series = append(nodeJm.Series, Series{\n   331→\t\t\tHostname:   hostname,\n   332→\t\t\tStatistics: MetricStatistics{Min: min, Avg: sum / float64(len(series)), Max: max},\n   333→\t\t\tData:       data,\n   334→\t\t})\n   335→\t}\n   336→\n   337→\tscopes[MetricScopeNode] = nodeJm\n   338→\treturn true\n   339→}\n   340→\n   341→func (jd *JobData) RoundMetricStats() {\n   342→\t// TODO: Make Digit-Precision Configurable? (Currently: Fixed to 2 Digits)\n   343→\tfor _, scopes := range *jd {\n   344→\t\tfor _, jm := range scopes {\n   345→\t\t\tfor index := range jm.Series {\n   346→\t\t\t\tjm.Series[index].Statistics = MetricStatistics{\n   347→\t\t\t\t\tAvg: (math.Round(jm.Series[index].Statistics.Avg*100) / 100),\n   348→\t\t\t\t\tMin: (math.Round(jm.Series[index].Statistics.Min*100) / 100),\n   349→\t\t\t\t\tMax: (math.Round(jm.Series[index].Statistics.Max*100) / 100),\n   350→\t\t\t\t}\n   351→\t\t\t}\n   352→\t\t}\n   353→\t}\n   354→}\n   355→\n   356→func (sjs *ScopedJobStats) RoundScopedMetricStats() {\n   357→\t// TODO: Make Digit-Precision Configurable? (Currently: Fixed to 2 Digits)\n   358→\tfor _, scopes := range *sjs {\n   359→\t\tfor _, stats := range scopes {\n   360→\t\t\tfor index := range stats {\n   361→\t\t\t\troundedStats := MetricStatistics{\n   362→\t\t\t\t\tAvg: (math.Round(stats[index].Data.Avg*100) / 100),\n   363→\t\t\t\t\tMin: (math.Round(stats[index].Data.Min*100) / 100),\n   364→\t\t\t\t\tMax: (math.Round(stats[index].Data.Max*100) / 100),\n   365→\t\t\t\t}\n   366→\t\t\t\tstats[index].Data = &roundedStats\n   367→\t\t\t}\n   368→\t\t}\n   369→\t}\n   370→}\n   371→\n   372→func (jm *JobMetric) AddPercentiles(ps []int) bool {\n   373→\tif jm.StatisticsSeries == nil {\n   374→\t\tjm.AddStatisticsSeries()\n   375→\t}\n   376→\n   377→\tif len(jm.Series) < 3 {\n   378→\t\treturn false\n   379→\t}\n   380→\n   381→\tif jm.StatisticsSeries.Percentiles == nil {\n   382→\t\tjm.StatisticsSeries.Percentiles = make(map[int][]Float, len(ps))\n   383→\t}\n   384→\n   385→\tn := 0\n   386→\tfor _, series := range jm.Series {\n   387→\t\tif len(series.Data) > n {\n   388→\t\t\tn = len(series.Data)\n   389→\t\t}\n   390→\t}\n   391→\n   392→\tdata := make([][]float64, n)\n   393→\tfor i := range n {\n   394→\t\tvals := make([]float64, 0, len(jm.Series))\n   395→\t\tfor _, series := range jm.Series {\n   396→\t\t\tif i < len(series.Data) {\n   397→\t\t\t\tvals = append(vals, float64(series.Data[i]))\n   398→\t\t\t}\n   399→\t\t}\n   400→\n   401→\t\tsort.Float64s(vals)\n   402→\t\tdata[i] = vals\n   403→\t}\n   404→\n   405→\tfor _, p := range ps {\n   406→\t\tif p < 1 || p > 99 {\n   407→\t\t\tpanic(\"SCHEMA/METRICS > invalid percentile\")\n   408→\t\t}\n   409→\n   410→\t\tif _, ok := jm.StatisticsSeries.Percentiles[p]; ok {\n   411→\t\t\tcontinue\n   412→\t\t}\n   413→\n   414→\t\tpercentiles := make([]Float, n)\n   415→\t\tfor i := range n {\n   416→\t\t\tsorted := data[i]\n   417→\t\t\tpercentiles[i] = Float(sorted[(len(sorted)*p)/100])\n   418→\t\t}\n   419→\n   420→\t\tjm.StatisticsSeries.Percentiles[p] = percentiles\n   421→\t}\n   422→\n   423→\treturn true\n   424→}\n   425→"}]},"uuid":"36179299-d2a4-49b1-ac80-e8ca1a8a61c0","timestamp":"2026-03-16T07:49:28.166Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-lib/schema/metrics.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-lib.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage schema\n\nimport (\n\t\"fmt\"\n\t\"io\"\n\t\"math\"\n\t\"sort\"\n\t\"unsafe\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// JobData maps metric names to their data organized by scope.\n// Structure: map[metricName]map[scope]*JobMetric\n//\n// For example: jobData[\"cpu_load\"][MetricScopeNode] contains node-level CPU load data.\n// This structure allows efficient lookup of metrics at different hierarchical levels.\ntype JobData map[string]map[MetricScope]*JobMetric\n\n// ScopedJobStats maps metric names to statistical summaries organized by scope.\n// Structure: map[metricName]map[scope][]*ScopedStats\n//\n// Used to store pre-computed statistics without the full time series data,\n// reducing memory footprint when only aggregated values are needed.\ntype ScopedJobStats map[string]map[MetricScope][]*ScopedStats\n\n// JobMetric contains time series data and statistics for a single metric.\n//\n// The Series field holds time series data from individual nodes/hardware components,\n// while StatisticsSeries provides aggregated statistics across all series over time.\ntype JobMetric struct {\n\tStatisticsSeries *StatsSeries `json:\"statisticsSeries,omitempty\"` // Aggregated statistics over time\n\tUnit             Unit         `json:\"unit\"`                       // Unit of measurement\n\tSeries           []Series     `json:\"series\"`                     // Individual time series data\n\tTimestep         int          `json:\"timestep\"`                   // Sampling interval in seconds\n}\n\n// Series represents a single time series of metric measurements.\n//\n// Each series corresponds to one source (e.g., one node, one core) identified by Hostname and optional ID.\n// The Data field contains the time-ordered measurements, and Statistics provides min/avg/max summaries.\ntype Series struct {\n\tID         *string          `json:\"id,omitempty\"` // Optional ID (e.g., core ID, GPU ID)\n\tHostname   string           `json:\"hostname\"`     // Source hostname\n\tData       []Float          `json:\"data\"`         // Time series measurements\n\tStatistics MetricStatistics `json:\"statistics\"`   // Statistical summary (min/avg/max)\n}\n\n// ScopedStats contains statistical summaries for a specific scope (e.g., one node, one socket).\n// Used when full time series data isn't needed, only the aggregated statistics.\ntype ScopedStats struct {\n\tHostname string            `json:\"hostname\"`     // Source hostname\n\tID       *string           `json:\"id,omitempty\"` // Optional scope ID\n\tData     *MetricStatistics `json:\"data\"`         // Statistical summary\n}\n\n// MetricStatistics holds statistical summary values for metric data.\n// Provides the common statistical aggregations used throughout ClusterCockpit.\ntype MetricStatistics struct {\n\tAvg float64 `json:\"avg\"` // Average/mean value\n\tMin float64 `json:\"min\"` // Minimum value\n\tMax float64 `json:\"max\"` // Maximum value\n}\n\n// StatsSeries contains aggregated statistics across multiple time series over time.\n//\n// Instead of storing individual series, this provides statistical summaries at each time step.\n// For example, at time t, Mean[t] is the average value across all series at that time.\n// Percentiles provides specified percentile values at each time step.\ntype StatsSeries struct {\n\tPercentiles map[int][]Float `json:\"percentiles,omitempty\"` // Percentile values over time (e.g., 10th, 50th, 90th)\n\tMean        []Float         `json:\"mean\"`                  // Mean values over time\n\tMedian      []Float         `json:\"median\"`                // Median values over time\n\tMin         []Float         `json:\"min\"`                   // Minimum values over time\n\tMax         []Float         `json:\"max\"`                   // Maximum values over time\n}\n\n// MetricScope defines the hierarchical level at which a metric is measured.\n//\n// Scopes form a hierarchy from coarse-grained (node) to fine-grained (hwthread/accelerator):\n//\n//\tnode > socket > memoryDomain > core > hwthread\n//\taccelerator is a special scope at the same level as hwthread\n//\n// The scopePrecedence map defines numeric ordering for scope comparisons,\n// which is used when aggregating metrics across different scopes.\ntype MetricScope string\n\nconst (\n\tMetricScopeInvalid MetricScope = \"invalid_scope\"\n\n\tMetricScopeNode         MetricScope = \"node\"\n\tMetricScopeSocket       MetricScope = \"socket\"\n\tMetricScopeMemoryDomain MetricScope = \"memoryDomain\"\n\tMetricScopeCore         MetricScope = \"core\"\n\tMetricScopeHWThread     MetricScope = \"hwthread\"\n\n\t// TODO: Add Job and Application scopes\n\n\tMetricScopeAccelerator MetricScope = \"accelerator\"\n)\n\nvar metricScopeGranularity map[MetricScope]int = map[MetricScope]int{\n\tMetricScopeNode:         10,\n\tMetricScopeSocket:       5,\n\tMetricScopeMemoryDomain: 4,\n\tMetricScopeCore:         3,\n\tMetricScopeHWThread:     2,\n\t/* Special-Case Accelerator\n\t * -> No conversion possible if native scope is HWTHREAD\n\t * -> Therefore needs to be less than HWTREAD, else max() would return unhandled case\n\t * -> If nativeScope is accelerator, accelerator metrics return correctly\n\t */\n\tMetricScopeAccelerator: 1,\n\n\tMetricScopeInvalid: -1,\n}\n\nfunc (e *MetricScope) LT(other MetricScope) bool {\n\ta := metricScopeGranularity[*e]\n\tb := metricScopeGranularity[other]\n\treturn a < b\n}\n\nfunc (e *MetricScope) LTE(other MetricScope) bool {\n\ta := metricScopeGranularity[*e]\n\tb := metricScopeGranularity[other]\n\treturn a <= b\n}\n\nfunc (e *MetricScope) Max(other MetricScope) MetricScope {\n\ta := metricScopeGranularity[*e]\n\tb := metricScopeGranularity[other]\n\tif a > b {\n\t\treturn *e\n\t}\n\treturn other\n}\n\nfunc (e *MetricScope) UnmarshalGQL(v any) error {\n\tstr, ok := v.(string)\n\tif !ok {\n\t\treturn fmt.Errorf(\"SCHEMA/METRICS > enums must be strings\")\n\t}\n\n\t*e = MetricScope(str)\n\tif !e.Valid() {\n\t\treturn fmt.Errorf(\"SCHEMA/METRICS > %s is not a valid MetricScope\", str)\n\t}\n\treturn nil\n}\n\nfunc (e MetricScope) MarshalGQL(w io.Writer) {\n\tfmt.Fprintf(w, \"\\\"%s\\\"\", e)\n}\n\nfunc (e MetricScope) Valid() bool {\n\tgran, ok := metricScopeGranularity[e]\n\treturn ok && gran > 0\n}\n\nfunc (jd *JobData) Size() int {\n\tn := 128\n\tfor _, scopes := range *jd {\n\t\tfor _, metric := range scopes {\n\t\t\tif metric.StatisticsSeries != nil {\n\t\t\t\tn += len(metric.StatisticsSeries.Max)\n\t\t\t\tn += len(metric.StatisticsSeries.Mean)\n\t\t\t\tn += len(metric.StatisticsSeries.Median)\n\t\t\t\tn += len(metric.StatisticsSeries.Min)\n\t\t\t}\n\n\t\t\tfor _, series := range metric.Series {\n\t\t\t\tn += len(series.Data)\n\t\t\t}\n\t\t}\n\t}\n\treturn n * int(unsafe.Sizeof(Float(0)))\n}\n\nconst smooth bool = false\n\nfunc (jm *JobMetric) AddStatisticsSeries() {\n\tif jm.StatisticsSeries != nil || len(jm.Series) < 4 {\n\t\treturn\n\t}\n\n\tn, m := 0, len(jm.Series[0].Data)\n\tfor _, series := range jm.Series {\n\t\tif len(series.Data) > n {\n\t\t\tn = len(series.Data)\n\t\t}\n\t\tif len(series.Data) < m {\n\t\t\tm = len(series.Data)\n\t\t}\n\t}\n\n\t// mean := make([]Float, n)\n\tmin, median, max := make([]Float, n), make([]Float, n), make([]Float, n)\n\ti := 0\n\tfor ; i < m; i++ {\n\t\tseriesCount := len(jm.Series)\n\t\t// ssum := 0.0\n\t\tsmin, smed, smax := math.MaxFloat32, make([]float64, seriesCount), -math.MaxFloat32\n\t\tnotnan := 0\n\t\tfor j := range seriesCount {\n\t\t\tx := float64(jm.Series[j].Data[i])\n\t\t\tif math.IsNaN(x) {\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tnotnan += 1\n\t\t\t// ssum += x\n\t\t\tsmed[j] = x\n\t\t\tsmin = math.Min(smin, x)\n\t\t\tsmax = math.Max(smax, x)\n\t\t}\n\n\t\tif notnan < 3 {\n\t\t\tmin[i] = NaN\n\t\t\t// mean[i] = NaN\n\t\t\tmedian[i] = NaN\n\t\t\tmax[i] = NaN\n\t\t} else {\n\t\t\tmin[i] = Float(smin)\n\t\t\t// mean[i] = Float(ssum / float64(notnan))\n\t\t\tmax[i] = Float(smax)\n\n\t\t\tmedianRaw, err := util.Median(smed)\n\t\t\tif err != nil {\n\t\t\t\tmedian[i] = NaN\n\t\t\t} else {\n\t\t\t\tmedian[i] = Float(medianRaw)\n\t\t\t}\n\t\t}\n\t}\n\n\tfor ; i < n; i++ {\n\t\tmin[i] = NaN\n\t\t// mean[i] = NaN\n\t\tmedian[i] = NaN\n\t\tmax[i] = NaN\n\t}\n\n\tif smooth {\n\t\tfor i := 2; i < len(median)-2; i++ {\n\t\t\tif min[i].IsNaN() {\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tmin[i] = (min[i-2] + min[i-1] + min[i] + min[i+1] + min[i+2]) / 5\n\t\t\tmax[i] = (max[i-2] + max[i-1] + max[i] + max[i+1] + max[i+2]) / 5\n\t\t\t// mean[i] = (mean[i-2] + mean[i-1] + mean[i] + mean[i+1] + mean[i+2]) / 5\n\t\t\t// Reduce Median further\n\t\t\tsmoothRaw := []float64{float64(median[i-2]), float64(median[i-1]), float64(median[i]), float64(median[i+1]), float64(median[i+2])}\n\t\t\tsmoothMedian, err := util.Median(smoothRaw)\n\t\t\tif err != nil {\n\t\t\t\tmedian[i] = NaN\n\t\t\t} else {\n\t\t\t\tmedian[i] = Float(smoothMedian)\n\t\t\t}\n\t\t}\n\t}\n\n\tjm.StatisticsSeries = &StatsSeries{Median: median, Min: min, Max: max} // Mean: mean\n}\n\nfunc (jd *JobData) AddNodeScope(metric string) bool {\n\tscopes, ok := (*jd)[metric]\n\tif !ok {\n\t\treturn false\n\t}\n\n\tmaxScope := MetricScopeInvalid\n\tfor scope := range scopes {\n\t\tmaxScope = maxScope.Max(scope)\n\t}\n\n\tif maxScope == MetricScopeInvalid || maxScope == MetricScopeNode {\n\t\treturn false\n\t}\n\n\tjm := scopes[maxScope]\n\thosts := make(map[string][]Series, 32)\n\tfor _, series := range jm.Series {\n\t\thosts[series.Hostname] = append(hosts[series.Hostname], series)\n\t}\n\n\tnodeJm := &JobMetric{\n\t\tUnit:     jm.Unit,\n\t\tTimestep: jm.Timestep,\n\t\tSeries:   make([]Series, 0, len(hosts)),\n\t}\n\tfor hostname, series := range hosts {\n\t\tmin, sum, max := math.MaxFloat32, 0.0, -math.MaxFloat32\n\t\tfor _, series := range series {\n\t\t\tsum += series.Statistics.Avg\n\t\t\tmin = math.Min(min, series.Statistics.Min)\n\t\t\tmax = math.Max(max, series.Statistics.Max)\n\t\t}\n\n\t\tn, m := 0, len(series[0].Data)\n\t\tfor _, s := range series {\n\t\t\tif len(s.Data) > n {\n\t\t\t\tn = len(s.Data)\n\t\t\t}\n\t\t\tif len(s.Data) < m {\n\t\t\t\tm = len(s.Data)\n\t\t\t}\n\t\t}\n\n\t\ti, data := 0, make([]Float, n)\n\t\tfor ; i < m; i++ {\n\t\t\tx := Float(0.0)\n\t\t\tfor _, s := range series {\n\t\t\t\tx += s.Data[i]\n\t\t\t}\n\t\t\tdata[i] = x\n\t\t}\n\n\t\tfor ; i < n; i++ {\n\t\t\tdata[i] = NaN\n\t\t}\n\n\t\tnodeJm.Series = append(nodeJm.Series, Series{\n\t\t\tHostname:   hostname,\n\t\t\tStatistics: MetricStatistics{Min: min, Avg: sum / float64(len(series)), Max: max},\n\t\t\tData:       data,\n\t\t})\n\t}\n\n\tscopes[MetricScopeNode] = nodeJm\n\treturn true\n}\n\nfunc (jd *JobData) RoundMetricStats() {\n\t// TODO: Make Digit-Precision Configurable? (Currently: Fixed to 2 Digits)\n\tfor _, scopes := range *jd {\n\t\tfor _, jm := range scopes {\n\t\t\tfor index := range jm.Series {\n\t\t\t\tjm.Series[index].Statistics = MetricStatistics{\n\t\t\t\t\tAvg: (math.Round(jm.Series[index].Statistics.Avg*100) / 100),\n\t\t\t\t\tMin: (math.Round(jm.Series[index].Statistics.Min*100) / 100),\n\t\t\t\t\tMax: (math.Round(jm.Series[index].Statistics.Max*100) / 100),\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n}\n\nfunc (sjs *ScopedJobStats) RoundScopedMetricStats() {\n\t// TODO: Make Digit-Precision Configurable? (Currently: Fixed to 2 Digits)\n\tfor _, scopes := range *sjs {\n\t\tfor _, stats := range scopes {\n\t\t\tfor index := range stats {\n\t\t\t\troundedStats := MetricStatistics{\n\t\t\t\t\tAvg: (math.Round(stats[index].Data.Avg*100) / 100),\n\t\t\t\t\tMin: (math.Round(stats[index].Data.Min*100) / 100),\n\t\t\t\t\tMax: (math.Round(stats[index].Data.Max*100) / 100),\n\t\t\t\t}\n\t\t\t\tstats[index].Data = &roundedStats\n\t\t\t}\n\t\t}\n\t}\n}\n\nfunc (jm *JobMetric) AddPercentiles(ps []int) bool {\n\tif jm.StatisticsSeries == nil {\n\t\tjm.AddStatisticsSeries()\n\t}\n\n\tif len(jm.Series) < 3 {\n\t\treturn false\n\t}\n\n\tif jm.StatisticsSeries.Percentiles == nil {\n\t\tjm.StatisticsSeries.Percentiles = make(map[int][]Float, len(ps))\n\t}\n\n\tn := 0\n\tfor _, series := range jm.Series {\n\t\tif len(series.Data) > n {\n\t\t\tn = len(series.Data)\n\t\t}\n\t}\n\n\tdata := make([][]float64, n)\n\tfor i := range n {\n\t\tvals := make([]float64, 0, len(jm.Series))\n\t\tfor _, series := range jm.Series {\n\t\t\tif i < len(series.Data) {\n\t\t\t\tvals = append(vals, float64(series.Data[i]))\n\t\t\t}\n\t\t}\n\n\t\tsort.Float64s(vals)\n\t\tdata[i] = vals\n\t}\n\n\tfor _, p := range ps {\n\t\tif p < 1 || p > 99 {\n\t\t\tpanic(\"SCHEMA/METRICS > invalid percentile\")\n\t\t}\n\n\t\tif _, ok := jm.StatisticsSeries.Percentiles[p]; ok {\n\t\t\tcontinue\n\t\t}\n\n\t\tpercentiles := make([]Float, n)\n\t\tfor i := range n {\n\t\t\tsorted := data[i]\n\t\t\tpercentiles[i] = Float(sorted[(len(sorted)*p)/100])\n\t\t}\n\n\t\tjm.StatisticsSeries.Percentiles[p] = percentiles\n\t}\n\n\treturn true\n}\n","numLines":425,"startLine":1,"totalLines":425}},"sourceToolAssistantUUID":"48b771a8-5d70-44dd-8fe1-7b15d8f84512","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"}
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+{"parentUuid":"ac9c042a-a52a-4774-b073-2212448fc8a6","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_019uBcgDXqr5449cicsbYMoS","type":"message","role":"assistant","content":[{"type":"text","text":"I've read the full file. Let me analyze each function for similar bugs and update the plan.\n\nThe file has 5 functions that operate on series data. Let me check them systematically:\n\n**1. `AddStatisticsSeries()` (lines 188-271)** — Computes min/median/max across ALL series at each timestep. Uses `jm.Series` throughout, which is **correct** here because it intentionally aggregates across all series (not per-host). It properly computes `n` (max) and `m` (min) from `jm.Series`, sizes arrays to `n`, and only accesses `Data[i]` when `i < m`. Safe.\n\n**2. `AddNodeScope()` (lines 273-339)** — Already fixed.\n\n**3. `RoundMetricStats()` (lines 341-354)** — Only touches `Statistics` structs, no data array indexing. Safe.\n\n**4. `RoundScopedMetricStats()` (lines 356-370)** — Same, only statistics. Safe.\n\n**5. `AddPercentiles()` (lines 372-424)** — Computes percentiles across ALL series. Uses `jm.Series` which is correct (not per-host). Has explicit bounds check at line 396: `if i < len(series.Data)`. Safe.\n\nLet me update the plan with these findings."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":7046,"cache_read_input_tokens":29065,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":7046},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6PiJxWpQ4pof75DbX3p","type":"assistant","uuid":"b6f1afc2-2d05-403f-87b8-a7991688747a","timestamp":"2026-03-16T07:50:01.518Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"}
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+{"parentUuid":"b6f1afc2-2d05-403f-87b8-a7991688747a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_019uBcgDXqr5449cicsbYMoS","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018d9zfSiTDZFa2vXWP5jb7P","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/.claude/plans/frolicking-splashing-kay.md","old_string":"# Fix: Panic in `AddNodeScope` (cc-lib v2.8.2)\n\n## Context\n\nThe archiver crashes with `panic: runtime error: index out of range [4] with length 4` at `schema/metrics.go:327` in `AddNodeScope`. This happens during job archiving when `LoadData` calls `jd.AddNodeScope(\"flops_any\")` or `jd.AddNodeScope(\"mem_bw\")` (dataLoader.go:214-215).\n\n## Root Cause (in cc-lib)\n\n`AddNodeScope` aggregates sub-node metrics (e.g., per-core) into node-level values. It has **two bugs**, both in `schema/metrics.go:299-328`:\n\n### Bug 1 — The crash (line 327)\n- Line 317: `data` is allocated with `len(series[0].Data)` — the current hostname's first sub-series length (e.g., 4)\n- Lines 307-315: `n` (max data length) is computed across **ALL** `jm.Series` (all hostnames), not just the current hostname\n- Lines 326-328: The loop `for ; i < n; i++ { data[i] = NaN }` writes past `data`'s bounds when another hostname has longer data\n\n### Bug 2 — Logic error (lines 318-323)\n- The summation loop iterates `jm.Series` (ALL hostnames' sub-node series) instead of the local `series` (current hostname only)\n- This means each node-level value is the sum across ALL hosts, not just that host's sub-node metrics\n\n## Fix (in cc-lib `schema/metrics.go`)\n\nReplace lines 307-324 to use the local `series` variable (current hostname) instead of `jm.Series` (all hostnames):\n\n```go\n// Before (BUGGY):\nn, m := 0, len(jm.Series[0].Data)\nfor _, series := range jm.Series {\n    ...\n}\ni, data := 0, make([]Float, len(series[0].Data))\nfor ; i < m; i++ {\n    x := Float(0.0)\n    for _, series := range jm.Series {\n        x += series.Data[i]\n    }\n    data[i] = x\n}\n\n// After (FIXED):\nn, m := 0, len(series[0].Data)\nfor _, s := range series {\n    if len(s.Data) > n {\n        n = len(s.Data)\n    }\n    if len(s.Data) < m {\n        m = len(s.Data)\n    }\n}\ni, data := 0, make([]Float, n)\nfor ; i < m; i++ {\n    x := Float(0.0)\n    for _, s := range series {\n        x += s.Data[i]\n    }\n    data[i] = x\n}\n```\n\nKey changes:\n1. `n`/`m` computed from local `series` (current hostname), not `jm.Series`\n2. `data` sized to `n` (max length for this host), not `series[0].Data` length\n3. Summation iterates local `series`, not `jm.Series`\n\n## Where to Apply\n\nThe fix is in **cc-lib** (`schema/metrics.go:307-324`), not cc-backend. Options:\n\n1. **Fix in cc-lib** — update `AddNodeScope` and release a new version, then bump the dependency in cc-backend\n2. **Workaround in cc-backend** — add a defensive wrapper in `dataLoader.go` before calling `AddNodeScope` (e.g., check series lengths), but this only masks the logic bug\n\n**Recommended: Option 1** — fix cc-lib.\n\n## Verification\n\n- Unit test: create a `JobData` with sub-node metrics where different hosts have different data lengths, call `AddNodeScope`, verify no panic and correct aggregation\n- Integration: archive a job with mixed-length metric data","new_string":"# Analysis: Similar Bugs in cc-lib `schema/metrics.go`\n\n## Context\n\nAfter fixing the `AddNodeScope` panic (index out of range due to using `jm.Series` instead of local `series`), we're checking if the same class of bug exists elsewhere in the file.\n\n## Already Fixed: `AddNodeScope` (lines 273-339)\n\nThe fix is already applied — `n`/`m` and summation now use local `series` (per-host) instead of `jm.Series` (all hosts). Tests pass.\n\n## Audit of All Functions in `metrics.go`\n\n### `AddStatisticsSeries()` (lines 188-271) — **NO BUG**\n- Computes min/median/max **across ALL series** at each timestep — using `jm.Series` is **intentionally correct**\n- `n`/`m` computed from `jm.Series` (line 193-201): correct, since stats span all series\n- Data access `jm.Series[j].Data[i]` (line 212): guarded by `i < m` where `m` is the minimum series length — safe\n- NaN padding loop (line 243): `i` goes from `m` to `n`, arrays sized to `n` — safe\n- Entry guard (line 189): `len(jm.Series) < 4` prevents `Series[0]` panic\n\n### `AddPercentiles()` (lines 372-424) — **NO BUG**\n- Also operates on ALL series (percentiles across the full set) — `jm.Series` correct\n- Explicit bounds check at line 396: `if i < len(series.Data)` — safe\n- `sorted` at line 417 is never empty because `n` = max series length, so at least one series contributes data at every index\n\n### `RoundMetricStats()` (lines 341-354) — **NO BUG**\n- Only modifies `Statistics` structs (Min/Avg/Max), no data array indexing\n\n### `RoundScopedMetricStats()` (lines 356-370) — **NO BUG**\n- Same pattern, only touches `Data` field which is a `*MetricStatistics`, not a slice\n\n## Conclusion\n\n**`AddNodeScope` was the only function with this bug class.** The other functions either:\n1. Intentionally operate on ALL series (not per-host), so `jm.Series` is correct\n2. Have proper bounds checks before data access\n3. Don't index into data arrays at all\n\nNo further changes needed in this file."},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":7046,"cache_read_input_tokens":29065,"output_tokens":3342,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":7046,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6PiJxWpQ4pof75DbX3p","type":"assistant","uuid":"16b0a9ea-b80c-4434-9e1b-56d28663a39a","timestamp":"2026-03-16T07:50:32.343Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"}
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It has **two bugs**, both in `schema/metrics.go:299-328`:\n\n### Bug 1 — The crash (line 327)\n- Line 317: `data` is allocated with `len(series[0].Data)` — the current hostname's first sub-series length (e.g., 4)\n- Lines 307-315: `n` (max data length) is computed across **ALL** `jm.Series` (all hostnames), not just the current hostname\n- Lines 326-328: The loop `for ; i < n; i++ { data[i] = NaN }` writes past `data`'s bounds when another hostname has longer data\n\n### Bug 2 — Logic error (lines 318-323)\n- The summation loop iterates `jm.Series` (ALL hostnames' sub-node series) instead of the local `series` (current hostname only)\n- This means each node-level value is the sum across ALL hosts, not just that host's sub-node metrics\n\n## Fix (in cc-lib `schema/metrics.go`)\n\nReplace lines 307-324 to use the local `series` variable (current hostname) instead of `jm.Series` (all hostnames):\n\n```go\n// Before (BUGGY):\nn, m := 0, len(jm.Series[0].Data)\nfor _, series := range jm.Series {\n    ...\n}\ni, data := 0, make([]Float, len(series[0].Data))\nfor ; i < m; i++ {\n    x := Float(0.0)\n    for _, series := range jm.Series {\n        x += series.Data[i]\n    }\n    data[i] = x\n}\n\n// After (FIXED):\nn, m := 0, len(series[0].Data)\nfor _, s := range series {\n    if len(s.Data) > n {\n        n = len(s.Data)\n    }\n    if len(s.Data) < m {\n        m = len(s.Data)\n    }\n}\ni, data := 0, make([]Float, n)\nfor ; i < m; i++ {\n    x := Float(0.0)\n    for _, s := range series {\n        x += s.Data[i]\n    }\n    data[i] = x\n}\n```\n\nKey changes:\n1. `n`/`m` computed from local `series` (current hostname), not `jm.Series`\n2. `data` sized to `n` (max length for this host), not `series[0].Data` length\n3. Summation iterates local `series`, not `jm.Series`\n\n## Where to Apply\n\nThe fix is in **cc-lib** (`schema/metrics.go:307-324`), not cc-backend. Options:\n\n1. **Fix in cc-lib** — update `AddNodeScope` and release a new version, then bump the dependency in cc-backend\n2. **Workaround in cc-backend** — add a defensive wrapper in `dataLoader.go` before calling `AddNodeScope` (e.g., check series lengths), but this only masks the logic bug\n\n**Recommended: Option 1** — fix cc-lib.\n\n## Verification\n\n- Unit test: create a `JobData` with sub-node metrics where different hosts have different data lengths, call `AddNodeScope`, verify no panic and correct aggregation\n- Integration: archive a job with mixed-length metric data","newString":"# Analysis: Similar Bugs in cc-lib `schema/metrics.go`\n\n## Context\n\nAfter fixing the `AddNodeScope` panic (index out of range due to using `jm.Series` instead of local `series`), we're checking if the same class of bug exists elsewhere in the file.\n\n## Already Fixed: `AddNodeScope` (lines 273-339)\n\nThe fix is already applied — `n`/`m` and summation now use local `series` (per-host) instead of `jm.Series` (all hosts). Tests pass.\n\n## Audit of All Functions in `metrics.go`\n\n### `AddStatisticsSeries()` (lines 188-271) — **NO BUG**\n- Computes min/median/max **across ALL series** at each timestep — using `jm.Series` is **intentionally correct**\n- `n`/`m` computed from `jm.Series` (line 193-201): correct, since stats span all series\n- Data access `jm.Series[j].Data[i]` (line 212): guarded by `i < m` where `m` is the minimum series length — safe\n- NaN padding loop (line 243): `i` goes from `m` to `n`, arrays sized to `n` — safe\n- Entry guard (line 189): `len(jm.Series) < 4` prevents `Series[0]` panic\n\n### `AddPercentiles()` (lines 372-424) — **NO BUG**\n- Also operates on ALL series (percentiles across the full set) — `jm.Series` correct\n- Explicit bounds check at line 396: `if i < len(series.Data)` — safe\n- `sorted` at line 417 is never empty because `n` = max series length, so at least one series contributes data at every index\n\n### `RoundMetricStats()` (lines 341-354) — **NO BUG**\n- Only modifies `Statistics` structs (Min/Avg/Max), no data array indexing\n\n### `RoundScopedMetricStats()` (lines 356-370) — **NO BUG**\n- Same pattern, only touches `Data` field which is a `*MetricStatistics`, not a slice\n\n## Conclusion\n\n**`AddNodeScope` was the only function with this bug class.** The other functions either:\n1. Intentionally operate on ALL series (not per-host), so `jm.Series` is correct\n2. Have proper bounds checks before data access\n3. Don't index into data arrays at all\n\nNo further changes needed in this file.","originalFile":"# Fix: Panic in `AddNodeScope` (cc-lib v2.8.2)\n\n## Context\n\nThe archiver crashes with `panic: runtime error: index out of range [4] with length 4` at `schema/metrics.go:327` in `AddNodeScope`. This happens during job archiving when `LoadData` calls `jd.AddNodeScope(\"flops_any\")` or `jd.AddNodeScope(\"mem_bw\")` (dataLoader.go:214-215).\n\n## Root Cause (in cc-lib)\n\n`AddNodeScope` aggregates sub-node metrics (e.g., per-core) into node-level values. It has **two bugs**, both in `schema/metrics.go:299-328`:\n\n### Bug 1 — The crash (line 327)\n- Line 317: `data` is allocated with `len(series[0].Data)` — the current hostname's first sub-series length (e.g., 4)\n- Lines 307-315: `n` (max data length) is computed across **ALL** `jm.Series` (all hostnames), not just the current hostname\n- Lines 326-328: The loop `for ; i < n; i++ { data[i] = NaN }` writes past `data`'s bounds when another hostname has longer data\n\n### Bug 2 — Logic error (lines 318-323)\n- The summation loop iterates `jm.Series` (ALL hostnames' sub-node series) instead of the local `series` (current hostname only)\n- This means each node-level value is the sum across ALL hosts, not just that host's sub-node metrics\n\n## Fix (in cc-lib `schema/metrics.go`)\n\nReplace lines 307-324 to use the local `series` variable (current hostname) instead of `jm.Series` (all hostnames):\n\n```go\n// Before (BUGGY):\nn, m := 0, len(jm.Series[0].Data)\nfor _, series := range jm.Series {\n    ...\n}\ni, data := 0, make([]Float, len(series[0].Data))\nfor ; i < m; i++ {\n    x := Float(0.0)\n    for _, series := range jm.Series {\n        x += series.Data[i]\n    }\n    data[i] = x\n}\n\n// After (FIXED):\nn, m := 0, len(series[0].Data)\nfor _, s := range series {\n    if len(s.Data) > n {\n        n = len(s.Data)\n    }\n    if len(s.Data) < m {\n        m = len(s.Data)\n    }\n}\ni, data := 0, make([]Float, n)\nfor ; i < m; i++ {\n    x := Float(0.0)\n    for _, s := range series {\n        x += s.Data[i]\n    }\n    data[i] = x\n}\n```\n\nKey changes:\n1. `n`/`m` computed from local `series` (current hostname), not `jm.Series`\n2. `data` sized to `n` (max length for this host), not `series[0].Data` length\n3. Summation iterates local `series`, not `jm.Series`\n\n## Where to Apply\n\nThe fix is in **cc-lib** (`schema/metrics.go:307-324`), not cc-backend. Options:\n\n1. **Fix in cc-lib** — update `AddNodeScope` and release a new version, then bump the dependency in cc-backend\n2. **Workaround in cc-backend** — add a defensive wrapper in `dataLoader.go` before calling `AddNodeScope` (e.g., check series lengths), but this only masks the logic bug\n\n**Recommended: Option 1** — fix cc-lib.\n\n## Verification\n\n- Unit test: create a `JobData` with sub-node metrics where different hosts have different data lengths, call `AddNodeScope`, verify no panic and correct aggregation\n- Integration: archive a job with mixed-length metric data\n","structuredPatch":[{"oldStart":1,"oldLines":76,"newStart":1,"newLines":38,"lines":["-# Fix: Panic in `AddNodeScope` (cc-lib v2.8.2)","+# Analysis: Similar Bugs in cc-lib `schema/metrics.go`"," "," ## Context"," ","-The archiver crashes with `panic: runtime error: index out of range [4] with length 4` at `schema/metrics.go:327` in `AddNodeScope`. This happens during job archiving when `LoadData` calls `jd.AddNodeScope(\"flops_any\")` or `jd.AddNodeScope(\"mem_bw\")` (dataLoader.go:214-215).","+After fixing the `AddNodeScope` panic (index out of range due to using `jm.Series` instead of local `series`), we're checking if the same class of bug exists elsewhere in the file."," ","-## Root Cause (in cc-lib)","+## Already Fixed: `AddNodeScope` (lines 273-339)"," ","-`AddNodeScope` aggregates sub-node metrics (e.g., per-core) into node-level values. It has **two bugs**, both in `schema/metrics.go:299-328`:","+The fix is already applied — `n`/`m` and summation now use local `series` (per-host) instead of `jm.Series` (all hosts). Tests pass."," ","-### Bug 1 — The crash (line 327)","-- Line 317: `data` is allocated with `len(series[0].Data)` — the current hostname's first sub-series length (e.g., 4)","-- Lines 307-315: `n` (max data length) is computed across **ALL** `jm.Series` (all hostnames), not just the current hostname","-- Lines 326-328: The loop `for ; i < n; i++ { data[i] = NaN }` writes past `data`'s bounds when another hostname has longer data","+## Audit of All Functions in `metrics.go`"," ","-### Bug 2 — Logic error (lines 318-323)","-- The summation loop iterates `jm.Series` (ALL hostnames' sub-node series) instead of the local `series` (current hostname only)","-- This means each node-level value is the sum across ALL hosts, not just that host's sub-node metrics","+### `AddStatisticsSeries()` (lines 188-271) — **NO BUG**","+- Computes min/median/max **across ALL series** at each timestep — using `jm.Series` is **intentionally correct**","+- `n`/`m` computed from `jm.Series` (line 193-201): correct, since stats span all series","+- Data access `jm.Series[j].Data[i]` (line 212): guarded by `i < m` where `m` is the minimum series length — safe","+- NaN padding loop (line 243): `i` goes from `m` to `n`, arrays sized to `n` — safe","+- Entry guard (line 189): `len(jm.Series) < 4` prevents `Series[0]` panic"," ","-## Fix (in cc-lib `schema/metrics.go`)","+### `AddPercentiles()` (lines 372-424) — **NO BUG**","+- Also operates on ALL series (percentiles across the full set) — `jm.Series` correct","+- Explicit bounds check at line 396: `if i < len(series.Data)` — safe","+- `sorted` at line 417 is never empty because `n` = max series length, so at least one series contributes data at every index"," ","-Replace lines 307-324 to use the local `series` variable (current hostname) instead of `jm.Series` (all hostnames):","+### `RoundMetricStats()` (lines 341-354) — **NO BUG**","+- Only modifies `Statistics` structs (Min/Avg/Max), no data array indexing"," ","-```go","-// Before (BUGGY):","-n, m := 0, len(jm.Series[0].Data)","-for _, series := range jm.Series {","-    ...","-}","-i, data := 0, make([]Float, len(series[0].Data))","-for ; i < m; i++ {","-    x := Float(0.0)","-    for _, series := range jm.Series {","-        x += series.Data[i]","-    }","-    data[i] = x","-}","+### `RoundScopedMetricStats()` (lines 356-370) — **NO BUG**","+- Same pattern, only touches `Data` field which is a `*MetricStatistics`, not a slice"," ","-// After (FIXED):","-n, m := 0, len(series[0].Data)","-for _, s := range series {","-    if len(s.Data) > n {","-        n = len(s.Data)","-    }","-    if len(s.Data) < m {","-        m = len(s.Data)","-    }","-}","-i, data := 0, make([]Float, n)","-for ; i < m; i++ {","-    x := Float(0.0)","-    for _, s := range series {","-        x += s.Data[i]","-    }","-    data[i] = x","-}","-```","+## Conclusion"," ","-Key changes:","-1. `n`/`m` computed from local `series` (current hostname), not `jm.Series`","-2. `data` sized to `n` (max length for this host), not `series[0].Data` length","-3. Summation iterates local `series`, not `jm.Series`","+**`AddNodeScope` was the only function with this bug class.** The other functions either:","+1. Intentionally operate on ALL series (not per-host), so `jm.Series` is correct","+2. Have proper bounds checks before data access","+3. Don't index into data arrays at all"," ","-## Where to Apply","-","-The fix is in **cc-lib** (`schema/metrics.go:307-324`), not cc-backend. Options:","-","-1. **Fix in cc-lib** — update `AddNodeScope` and release a new version, then bump the dependency in cc-backend","-2. **Workaround in cc-backend** — add a defensive wrapper in `dataLoader.go` before calling `AddNodeScope` (e.g., check series lengths), but this only masks the logic bug","-","-**Recommended: Option 1** — fix cc-lib.","-","-## Verification","-","-- Unit test: create a `JobData` with sub-node metrics where different hosts have different data lengths, call `AddNodeScope`, verify no panic and correct aggregation","-- Integration: archive a job with mixed-length metric data","+No further changes needed in this file."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"16b0a9ea-b80c-4434-9e1b-56d28663a39a","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"}
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diff --git a/af/ef27e07ec9/0/metadata.json b/af/ef27e07ec9/0/metadata.json
new file mode 100644
index 00000000..273c36bc
--- /dev/null
+++ b/af/ef27e07ec9/0/metadata.json
@@ -0,0 +1,34 @@
+{
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+  "checkpoint_id": "afef27e07ec9",
+  "session_id": "7e6b850e-d9e5-48ec-8e24-07c1b3960faa",
+  "strategy": "manual-commit",
+  "created_at": "2026-03-16T07:55:57.189589Z",
+  "branch": "hotfix",
+  "checkpoints_count": 2,
+  "files_touched": [
+    "go.mod",
+    "go.sum"
+  ],
+  "agent": "Claude Code",
+  "turn_id": "50f042f4abfc",
+  "token_usage": {
+    "input_tokens": 25,
+    "cache_creation_tokens": 27775,
+    "cache_read_tokens": 470840,
+    "output_tokens": 7980,
+    "api_call_count": 17
+  },
+  "session_metrics": {
+    "turn_count": 2
+  },
+  "initial_attribution": {
+    "calculated_at": "2026-03-16T07:55:57.14185Z",
+    "agent_lines": 0,
+    "human_added": 2,
+    "human_modified": 1,
+    "human_removed": 0,
+    "total_committed": 2,
+    "agent_percentage": 0
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+}
diff --git a/af/ef27e07ec9/0/prompt.txt b/af/ef27e07ec9/0/prompt.txt
new file mode 100644
index 00000000..f3b17d8b
--- /dev/null
+++ b/af/ef27e07ec9/0/prompt.txt
@@ -0,0 +1,5 @@
+Analyse if similar errors exist in cc-lib metrics.go
+
+---
+
+Check if the previous bug is fixed no in the current cc-lib used
\ No newline at end of file
diff --git a/af/ef27e07ec9/metadata.json b/af/ef27e07ec9/metadata.json
new file mode 100644
index 00000000..9a704126
--- /dev/null
+++ b/af/ef27e07ec9/metadata.json
@@ -0,0 +1,26 @@
+{
+  "cli_version": "0.5.0",
+  "checkpoint_id": "afef27e07ec9",
+  "strategy": "manual-commit",
+  "branch": "hotfix",
+  "checkpoints_count": 2,
+  "files_touched": [
+    "go.mod",
+    "go.sum"
+  ],
+  "sessions": [
+    {
+      "metadata": "/af/ef27e07ec9/0/metadata.json",
+      "transcript": "/af/ef27e07ec9/0/full.jsonl",
+      "content_hash": "/af/ef27e07ec9/0/content_hash.txt",
+      "prompt": "/af/ef27e07ec9/0/prompt.txt"
+    }
+  ],
+  "token_usage": {
+    "input_tokens": 25,
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+    "cache_read_tokens": 470840,
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+  }
+}
diff --git a/b9/5ef43221bb/0/content_hash.txt b/b9/5ef43221bb/0/content_hash.txt
new file mode 100644
index 00000000..a4d6bf02
--- /dev/null
+++ b/b9/5ef43221bb/0/content_hash.txt
@@ -0,0 +1 @@
+sha256:a03f9b960a478ca650bf07affe90eaedd1f595fef074c520fd5a1b8cfbeeb614
\ No newline at end of file
diff --git a/b9/5ef43221bb/0/full.jsonl b/b9/5ef43221bb/0/full.jsonl
new file mode 100644
index 00000000..84190003
--- /dev/null
+++ b/b9/5ef43221bb/0/full.jsonl
@@ -0,0 +1,34 @@
+{"type":"file-history-snapshot","messageId":"7c9c06ad-3241-4b89-b282-79d680032f38","snapshot":{"messageId":"7c9c06ad-3241-4b89-b282-79d680032f38","trackedFileBackups":{},"timestamp":"2026-03-19T09:59:12.088Z"},"isSnapshotUpdate":false}
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+{"parentUuid":"57929479-b46e-40e7-b5f5-1818d675ae32","isSidechain":false,"promptId":"4fcd0306-e2ee-4526-a0bf-c87699d19405","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Plan: Fix Slow Project Stats Query\n\n## Context\n\nThe `/monitoring/projects/` page is significantly slower than `/monitoring/users/` despite using the same code path (`List.root.svelte`, same GraphQL query, same SQL structure). Both call `JobsStatsGrouped` via the `jobsStatistics` resolver.\n\n## Root Cause\n\n`WithStatsGroupCache` is injected into **every** GraphQL request context via `AroundOperations` in `cmd/cc-backend/server.go:96`. This means the cache path in the resolver is **always** taken for grouped stats queries.\n\nThe cache path calls:\n```go\nreturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil)\n```\nwith `nil` for `reqFields`, which forces **all** SQL columns to be computed — including:\n```sql\nCOUNT(DISTINCT job.hpc_user) AS totalUsers\n```\n\nThis is the performance bottleneck:\n\n- **User grouping** (`GROUP BY hpc_user`): Each group has exactly 1 distinct `hpc_user` value → `COUNT(DISTINCT)` = trivially 1 per group → fast\n- **Project grouping** (`GROUP BY project`): Each project can have 10s–100s of distinct users across thousands of jobs → SQLite must maintain a hash set per group → expensive\n\nThe `List.root.svelte` frontend query does **not** request `totalUsers` for either page. It only requests: `id, name, totalJobs, shortJobs, totalWalltime, totalCoreHours, totalAccHours`. So `COUNT(DISTINCT hpc_user)` is computed for no reason, but is only costly for project grouping.\n\n**Why user page is fast**: `COUNT(DISTINCT hpc_user)` when grouping by `hpc_user` is trivially 1 per group — effectively O(1) per group.\n\n**Why project page is slow**: `COUNT(DISTINCT hpc_user)` when grouping by `project` requires deduplicating all users across potentially thousands of jobs per project.\n\n## What the Status Page Needs\n\n`StatusDash.svelte` requests `totalUsers` for `groupBy: SUBCLUSTER` — so `COUNT(DISTINCT hpc_user)` IS needed there. The fix must not break this.\n\n## Fix\n\nChange the cache path to pass the actual `reqFields` (derived from the GraphQL selection set) instead of `nil`, and include `reqFields` in the cache key so that identical requests still share cached results.\n\n### Files to Modify\n\n1. **`internal/graph/schema.resolvers.go`** (line ~678–688)\n   - Pass `reqFields` instead of `nil` to `JobsStatsGrouped` in the cache path\n\n2. **`internal/graph/stats_cache.go`** (function `statsCacheKey`)\n   - Include reqFields in the cache key so caching still deduplicates identical requests\n\n### Changes\n\n**`internal/graph/stats_cache.go`**:\n\nUpdate `statsCacheKey` to accept and include reqFields:\n```go\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate, reqFields map[string]bool) string {\n    return fmt.Sprintf(\"%v|%v|%v\", filter, *groupBy, reqFields)\n}\n```\n\n**`internal/graph/schema.resolvers.go`**:\n\nChange the cache call from:\n```go\nkey := statsCacheKey(filter, groupBy)\nallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n    return r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil)\n})\n```\nTo:\n```go\nkey := statsCacheKey(filter, groupBy, reqFields)\nallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n    return r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)\n})\n```\n\n## Why This Works\n\n- The project list query never requests `totalUsers` → `COUNT(DISTINCT hpc_user)` is skipped → fast query\n- The user list query also never requests `totalUsers` → same benefit (marginal since the user `COUNT(DISTINCT)` is trivial)\n- The status page requests `totalUsers` → `COUNT(DISTINCT hpc_user)` is computed → no regression\n- Cache deduplication still works: if two aliases in the same request have the same filter+groupBy+reqFields, they share the cached result\n\n## Critical Files\n\n- `internal/graph/schema.resolvers.go` — cache invocation (lines ~678–688)\n- `internal/graph/stats_cache.go` — `statsCacheKey` function (line 57–59)\n- `internal/repository/stats.go` — `buildStatsQuery` (lines 136–229, `need()` helper)\n\n## Verification\n\n1. Build: `go build ./...`\n2. Test: `go test ./internal/repository/... ./internal/graph/...`\n3. Start server: `./cc-backend -server -dev -loglevel debug`\n4. Load `/monitoring/projects/?cluster=alex&startTime=last30d` — check that it loads at similar speed to `/monitoring/users/`\n5. Check backend logs for `Timer JobsStatsGrouped call:` — project query should now be much faster\n6. Verify `/monitoring/status/` still shows correct `Active Users` counts per subcluster\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/258fc5cb-f8b6-4d74-92a9-df4954615c17.jsonl"},"uuid":"7c9c06ad-3241-4b89-b282-79d680032f38","timestamp":"2026-03-19T09:59:11.864Z","planContent":"# Plan: Fix Slow Project Stats Query\n\n## Context\n\nThe `/monitoring/projects/` page is significantly slower than `/monitoring/users/` despite using the same code path (`List.root.svelte`, same GraphQL query, same SQL structure). Both call `JobsStatsGrouped` via the `jobsStatistics` resolver.\n\n## Root Cause\n\n`WithStatsGroupCache` is injected into **every** GraphQL request context via `AroundOperations` in `cmd/cc-backend/server.go:96`. This means the cache path in the resolver is **always** taken for grouped stats queries.\n\nThe cache path calls:\n```go\nreturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil)\n```\nwith `nil` for `reqFields`, which forces **all** SQL columns to be computed — including:\n```sql\nCOUNT(DISTINCT job.hpc_user) AS totalUsers\n```\n\nThis is the performance bottleneck:\n\n- **User grouping** (`GROUP BY hpc_user`): Each group has exactly 1 distinct `hpc_user` value → `COUNT(DISTINCT)` = trivially 1 per group → fast\n- **Project grouping** (`GROUP BY project`): Each project can have 10s–100s of distinct users across thousands of jobs → SQLite must maintain a hash set per group → expensive\n\nThe `List.root.svelte` frontend query does **not** request `totalUsers` for either page. It only requests: `id, name, totalJobs, shortJobs, totalWalltime, totalCoreHours, totalAccHours`. So `COUNT(DISTINCT hpc_user)` is computed for no reason, but is only costly for project grouping.\n\n**Why user page is fast**: `COUNT(DISTINCT hpc_user)` when grouping by `hpc_user` is trivially 1 per group — effectively O(1) per group.\n\n**Why project page is slow**: `COUNT(DISTINCT hpc_user)` when grouping by `project` requires deduplicating all users across potentially thousands of jobs per project.\n\n## What the Status Page Needs\n\n`StatusDash.svelte` requests `totalUsers` for `groupBy: SUBCLUSTER` — so `COUNT(DISTINCT hpc_user)` IS needed there. The fix must not break this.\n\n## Fix\n\nChange the cache path to pass the actual `reqFields` (derived from the GraphQL selection set) instead of `nil`, and include `reqFields` in the cache key so that identical requests still share cached results.\n\n### Files to Modify\n\n1. **`internal/graph/schema.resolvers.go`** (line ~678–688)\n   - Pass `reqFields` instead of `nil` to `JobsStatsGrouped` in the cache path\n\n2. **`internal/graph/stats_cache.go`** (function `statsCacheKey`)\n   - Include reqFields in the cache key so caching still deduplicates identical requests\n\n### Changes\n\n**`internal/graph/stats_cache.go`**:\n\nUpdate `statsCacheKey` to accept and include reqFields:\n```go\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate, reqFields map[string]bool) string {\n    return fmt.Sprintf(\"%v|%v|%v\", filter, *groupBy, reqFields)\n}\n```\n\n**`internal/graph/schema.resolvers.go`**:\n\nChange the cache call from:\n```go\nkey := statsCacheKey(filter, groupBy)\nallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n    return r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil)\n})\n```\nTo:\n```go\nkey := statsCacheKey(filter, groupBy, reqFields)\nallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n    return r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)\n})\n```\n\n## Why This Works\n\n- The project list query never requests `totalUsers` → `COUNT(DISTINCT hpc_user)` is skipped → fast query\n- The user list query also never requests `totalUsers` → same benefit (marginal since the user `COUNT(DISTINCT)` is trivial)\n- The status page requests `totalUsers` → `COUNT(DISTINCT hpc_user)` is computed → no regression\n- Cache deduplication still works: if two aliases in the same request have the same filter+groupBy+reqFields, they share the cached result\n\n## Critical Files\n\n- `internal/graph/schema.resolvers.go` — cache invocation (lines ~678–688)\n- `internal/graph/stats_cache.go` — `statsCacheKey` function (line 57–59)\n- `internal/repository/stats.go` — `buildStatsQuery` (lines 136–229, `need()` helper)\n\n## Verification\n\n1. 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+{"parentUuid":"81616078-7330-4b2d-9627-fe2dcf64e012","isSidechain":false,"promptId":"4fcd0306-e2ee-4526-a0bf-c87699d19405","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NiKPdBkFLhPa2j9wRLCewc","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package graph\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"fmt\"\n    11→\t\"slices\"\n    12→\t\"sync\"\n    13→\n    14→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    15→)\n    16→\n    17→// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n    18→// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n    19→// frontend requests multiple sort/page slices of the same underlying data\n    20→// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\n    21→type statsGroupCache struct {\n    22→\tmu      sync.Mutex\n    23→\tentries map[string]*cacheEntry\n    24→}\n    25→\n    26→type cacheEntry struct {\n    27→\tonce   sync.Once\n    28→\tresult []*model.JobsStatistics\n    29→\terr    error\n    30→}\n    31→\n    32→type ctxKey int\n    33→\n    34→const statsGroupCacheKey ctxKey = iota\n    35→\n    36→// newStatsGroupCache creates a new empty cache.\n    37→func newStatsGroupCache() *statsGroupCache {\n    38→\treturn &statsGroupCache{\n    39→\t\tentries: make(map[string]*cacheEntry),\n    40→\t}\n    41→}\n    42→\n    43→// WithStatsGroupCache injects a new cache into the context.\n    44→func WithStatsGroupCache(ctx context.Context) context.Context {\n    45→\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n    46→}\n    47→\n    48→// getStatsGroupCache retrieves the cache from context, or nil if absent.\n    49→func getStatsGroupCache(ctx context.Context) *statsGroupCache {\n    50→\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n    51→\t\treturn c\n    52→\t}\n    53→\treturn nil\n    54→}\n    55→\n    56→// cacheKey builds a deterministic string key from filter + groupBy.\n    57→func statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n    58→\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n    59→}\n    60→\n    61→// getOrCompute returns cached results for the given key, computing them on\n    62→// first access via the provided function.\n    63→func (c *statsGroupCache) getOrCompute(\n    64→\tkey string,\n    65→\tcompute func() ([]*model.JobsStatistics, error),\n    66→) ([]*model.JobsStatistics, error) {\n    67→\tc.mu.Lock()\n    68→\tentry, ok := c.entries[key]\n    69→\tif !ok {\n    70→\t\tentry = &cacheEntry{}\n    71→\t\tc.entries[key] = entry\n    72→\t}\n    73→\tc.mu.Unlock()\n    74→\n    75→\tentry.once.Do(func() {\n    76→\t\tentry.result, entry.err = compute()\n    77→\t})\n    78→\treturn entry.result, entry.err\n    79→}\n    80→\n    81→// sortAndPageStats sorts a copy of allStats by the given sortBy field (descending)\n    82→// and returns the requested page slice.\n    83→func sortAndPageStats(allStats []*model.JobsStatistics, sortBy *model.SortByAggregate, page *model.PageRequest) []*model.JobsStatistics {\n    84→\t// Work on a shallow copy so the cached slice order is not mutated.\n    85→\tsorted := make([]*model.JobsStatistics, len(allStats))\n    86→\tcopy(sorted, allStats)\n    87→\n    88→\tif sortBy != nil {\n    89→\t\tgetter := statsFieldGetter(*sortBy)\n    90→\t\tslices.SortFunc(sorted, func(a, b *model.JobsStatistics) int {\n    91→\t\t\treturn getter(b) - getter(a) // descending\n    92→\t\t})\n    93→\t}\n    94→\n    95→\tif page != nil && page.ItemsPerPage != -1 {\n    96→\t\tstart := (page.Page - 1) * page.ItemsPerPage\n    97→\t\tif start >= len(sorted) {\n    98→\t\t\treturn nil\n    99→\t\t}\n   100→\t\tend := start + page.ItemsPerPage\n   101→\t\tif end > len(sorted) {\n   102→\t\t\tend = len(sorted)\n   103→\t\t}\n   104→\t\tsorted = sorted[start:end]\n   105→\t}\n   106→\n   107→\treturn sorted\n   108→}\n   109→\n   110→// statsFieldGetter returns a function that extracts the sortable int field\n   111→// from a JobsStatistics struct for the given sort key.\n   112→func statsFieldGetter(sortBy model.SortByAggregate) func(*model.JobsStatistics) int {\n   113→\tswitch sortBy {\n   114→\tcase model.SortByAggregateTotaljobs:\n   115→\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n   116→\tcase model.SortByAggregateTotalusers:\n   117→\t\treturn func(s *model.JobsStatistics) int { return s.TotalUsers }\n   118→\tcase model.SortByAggregateTotalwalltime:\n   119→\t\treturn func(s *model.JobsStatistics) int { return s.TotalWalltime }\n   120→\tcase model.SortByAggregateTotalnodes:\n   121→\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodes }\n   122→\tcase model.SortByAggregateTotalnodehours:\n   123→\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodeHours }\n   124→\tcase model.SortByAggregateTotalcores:\n   125→\t\treturn func(s *model.JobsStatistics) int { return s.TotalCores }\n   126→\tcase model.SortByAggregateTotalcorehours:\n   127→\t\treturn func(s *model.JobsStatistics) int { return s.TotalCoreHours }\n   128→\tcase model.SortByAggregateTotalaccs:\n   129→\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccs }\n   130→\tcase model.SortByAggregateTotalacchours:\n   131→\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccHours }\n   132→\tdefault:\n   133→\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n   134→\t}\n   135→}\n   136→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"9475e67e-a98a-4423-af71-22ef9c81c75a","timestamp":"2026-03-19T09:59:18.312Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage graph\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)\n\n// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n// frontend requests multiple sort/page slices of the same underlying data\n// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\ntype statsGroupCache struct {\n\tmu      sync.Mutex\n\tentries map[string]*cacheEntry\n}\n\ntype cacheEntry struct {\n\tonce   sync.Once\n\tresult []*model.JobsStatistics\n\terr    error\n}\n\ntype ctxKey int\n\nconst statsGroupCacheKey ctxKey = iota\n\n// newStatsGroupCache creates a new empty cache.\nfunc newStatsGroupCache() *statsGroupCache {\n\treturn &statsGroupCache{\n\t\tentries: make(map[string]*cacheEntry),\n\t}\n}\n\n// WithStatsGroupCache injects a new cache into the context.\nfunc WithStatsGroupCache(ctx context.Context) context.Context {\n\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n}\n\n// getStatsGroupCache retrieves the cache from context, or nil if absent.\nfunc getStatsGroupCache(ctx context.Context) *statsGroupCache {\n\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n\t\treturn c\n\t}\n\treturn nil\n}\n\n// cacheKey builds a deterministic string key from filter + groupBy.\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n}\n\n// getOrCompute returns cached results for the given key, computing them on\n// first access via the provided function.\nfunc (c *statsGroupCache) getOrCompute(\n\tkey string,\n\tcompute func() ([]*model.JobsStatistics, error),\n) ([]*model.JobsStatistics, error) {\n\tc.mu.Lock()\n\tentry, ok := c.entries[key]\n\tif !ok {\n\t\tentry = &cacheEntry{}\n\t\tc.entries[key] = entry\n\t}\n\tc.mu.Unlock()\n\n\tentry.once.Do(func() {\n\t\tentry.result, entry.err = compute()\n\t})\n\treturn entry.result, entry.err\n}\n\n// sortAndPageStats sorts a copy of allStats by the given sortBy field (descending)\n// and returns the requested page slice.\nfunc sortAndPageStats(allStats []*model.JobsStatistics, sortBy *model.SortByAggregate, page *model.PageRequest) []*model.JobsStatistics {\n\t// Work on a shallow copy so the cached slice order is not mutated.\n\tsorted := make([]*model.JobsStatistics, len(allStats))\n\tcopy(sorted, allStats)\n\n\tif sortBy != nil {\n\t\tgetter := statsFieldGetter(*sortBy)\n\t\tslices.SortFunc(sorted, func(a, b *model.JobsStatistics) int {\n\t\t\treturn getter(b) - getter(a) // descending\n\t\t})\n\t}\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tif start >= len(sorted) {\n\t\t\treturn nil\n\t\t}\n\t\tend := start + page.ItemsPerPage\n\t\tif end > len(sorted) {\n\t\t\tend = len(sorted)\n\t\t}\n\t\tsorted = sorted[start:end]\n\t}\n\n\treturn sorted\n}\n\n// statsFieldGetter returns a function that extracts the sortable int field\n// from a JobsStatistics struct for the given sort key.\nfunc statsFieldGetter(sortBy model.SortByAggregate) func(*model.JobsStatistics) int {\n\tswitch sortBy {\n\tcase model.SortByAggregateTotaljobs:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n\tcase model.SortByAggregateTotalusers:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalUsers }\n\tcase model.SortByAggregateTotalwalltime:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalWalltime }\n\tcase model.SortByAggregateTotalnodes:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodes }\n\tcase model.SortByAggregateTotalnodehours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodeHours }\n\tcase model.SortByAggregateTotalcores:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalCores }\n\tcase model.SortByAggregateTotalcorehours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalCoreHours }\n\tcase model.SortByAggregateTotalaccs:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccs }\n\tcase model.SortByAggregateTotalacchours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccHours }\n\tdefault:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n\t}\n}\n","numLines":136,"startLine":1,"totalLines":136}},"sourceToolAssistantUUID":"81616078-7330-4b2d-9627-fe2dcf64e012","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage graph\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)\n\n// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n// frontend requests multiple sort/page slices of the same underlying data\n// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\ntype statsGroupCache struct {\n\tmu      sync.Mutex\n\tentries map[string]*cacheEntry\n}\n\ntype cacheEntry struct {\n\tonce   sync.Once\n\tresult []*model.JobsStatistics\n\terr    error\n}\n\ntype ctxKey int\n\nconst statsGroupCacheKey ctxKey = iota\n\n// newStatsGroupCache creates a new empty cache.\nfunc newStatsGroupCache() *statsGroupCache {\n\treturn &statsGroupCache{\n\t\tentries: make(map[string]*cacheEntry),\n\t}\n}\n\n// WithStatsGroupCache injects a new cache into the context.\nfunc WithStatsGroupCache(ctx context.Context) context.Context {\n\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n}\n\n// getStatsGroupCache retrieves the cache from context, or nil if absent.\nfunc getStatsGroupCache(ctx context.Context) *statsGroupCache {\n\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n\t\treturn c\n\t}\n\treturn nil\n}\n\n// cacheKey builds a deterministic string key from filter + groupBy.\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n}\n\n// getOrCompute returns cached results for the given key, computing them on\n// first access via the provided function.\nfunc (c *statsGroupCache) getOrCompute(\n\tkey string,\n\tcompute func() ([]*model.JobsStatistics, error),\n) ([]*model.JobsStatistics, error) {\n\tc.mu.Lock()\n\tentry, ok := c.entries[key]\n\tif !ok {\n\t\tentry = &cacheEntry{}\n\t\tc.entries[key] = entry\n\t}\n\tc.mu.Unlock()\n\n\tentry.once.Do(func() {\n\t\tentry.result, entry.err = compute()\n\t})\n\treturn entry.result, entry.err\n}\n\n// sortAndPageStats sorts a copy of allStats by the given sortBy field (descending)\n// and returns the requested page slice.\nfunc sortAndPageStats(allStats []*model.JobsStatistics, sortBy *model.SortByAggregate, page *model.PageRequest) []*model.JobsStatistics {\n\t// Work on a shallow copy so the cached slice order is not mutated.\n\tsorted := make([]*model.JobsStatistics, len(allStats))\n\tcopy(sorted, allStats)\n\n\tif sortBy != nil {\n\t\tgetter := statsFieldGetter(*sortBy)\n\t\tslices.SortFunc(sorted, func(a, b *model.JobsStatistics) int {\n\t\t\treturn getter(b) - getter(a) // descending\n\t\t})\n\t}\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tif start >= len(sorted) {\n\t\t\treturn nil\n\t\t}\n\t\tend := start + page.ItemsPerPage\n\t\tif end > len(sorted) {\n\t\t\tend = len(sorted)\n\t\t}\n\t\tsorted = sorted[start:end]\n\t}\n\n\treturn sorted\n}\n\n// statsFieldGetter returns a function that extracts the sortable int field\n// from a JobsStatistics struct for the given sort key.\nfunc statsFieldGetter(sortBy model.SortByAggregate) func(*model.JobsStatistics) int {\n\tswitch sortBy {\n\tcase model.SortByAggregateTotaljobs:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n\tcase model.SortByAggregateTotalusers:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalUsers }\n\tcase model.SortByAggregateTotalwalltime:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalWalltime }\n\tcase model.SortByAggregateTotalnodes:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodes }\n\tcase model.SortByAggregateTotalnodehours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodeHours }\n\tcase model.SortByAggregateTotalcores:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalCores }\n\tcase model.SortByAggregateTotalcorehours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalCoreHours }\n\tcase model.SortByAggregateTotalaccs:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccs }\n\tcase model.SortByAggregateTotalacchours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccHours }\n\tdefault:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n\t}\n}\n","structuredPatch":[{"oldStart":53,"oldLines":9,"newStart":53,"newLines":9,"lines":["   return nil"," }"," ","-// cacheKey builds a deterministic string key from filter + groupBy.","-func statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {","-  return fmt.Sprintf(\"%v|%v\", filter, *groupBy)","+// cacheKey builds a deterministic string key from filter + groupBy + reqFields.","+func statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate, reqFields map[string]bool) string {","+  return fmt.Sprintf(\"%v|%v|%v\", filter, *groupBy, reqFields)"," }"," "," // getOrCompute returns cached results for the given key, computing them on"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"be8ca8a3-73dc-4799-9a6b-6c0e6df79385","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)\n\t\t\t\t})","originalFile":"package graph\n\n// This file will be automatically regenerated based on the schema, any resolver\n// implementations\n// will be copied through when generating and any unknown code will be moved to the end.\n// Code generated by github.com/99designs/gqlgen version v0.17.88\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"math\"\n\t\"regexp\"\n\t\"slices\"\n\t\"strconv\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tccunit \"github.com/ClusterCockpit/cc-lib/v2/ccUnits\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Partitions is the resolver for the partitions field.\nfunc (r *clusterResolver) Partitions(ctx context.Context, obj *schema.Cluster) ([]string, error) {\n\treturn r.Repo.Partitions(obj.Name)\n}\n\n// StartTime is the resolver for the startTime field.\nfunc (r *jobResolver) StartTime(ctx context.Context, obj *schema.Job) (*time.Time, error) {\n\ttimestamp := time.Unix(obj.StartTime, 0)\n\treturn &timestamp, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *jobResolver) Tags(ctx context.Context, obj *schema.Job) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), obj.ID)\n}\n\n// ConcurrentJobs is the resolver for the concurrentJobs field.\nfunc (r *jobResolver) ConcurrentJobs(ctx context.Context, obj *schema.Job) (*model.JobLinkResultList, error) {\n\t// FIXME: Make the hardcoded duration configurable\n\tif obj.Shared != \"none\" && obj.Duration > 600 {\n\t\treturn r.Repo.FindConcurrentJobs(ctx, obj)\n\t}\n\n\treturn nil, nil\n}\n\n// Footprint is the resolver for the footprint field.\nfunc (r *jobResolver) Footprint(ctx context.Context, obj *schema.Job) ([]*model.FootprintValue, error) {\n\trawFootprint, err := r.Repo.FetchFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.FootprintValue{}\n\tfor name, value := range rawFootprint {\n\n\t\tparts := strings.Split(name, \"_\")\n\t\tstatPart := parts[len(parts)-1]\n\t\tnameParts := parts[:len(parts)-1]\n\n\t\tres = append(res, &model.FootprintValue{\n\t\t\tName:  strings.Join(nameParts, \"_\"),\n\t\t\tStat:  statPart,\n\t\t\tValue: value,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// EnergyFootprint is the resolver for the energyFootprint field.\nfunc (r *jobResolver) EnergyFootprint(ctx context.Context, obj *schema.Job) ([]*model.EnergyFootprintValue, error) {\n\trawEnergyFootprint, err := r.Repo.FetchEnergyFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job energy footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.EnergyFootprintValue{}\n\tfor name, value := range rawEnergyFootprint {\n\t\t// Suboptimal: Nearly hardcoded metric name expectations\n\t\tmatchCPU := regexp.MustCompile(`cpu|Cpu|CPU`)\n\t\tmatchAcc := regexp.MustCompile(`acc|Acc|ACC`)\n\t\tmatchMem := regexp.MustCompile(`mem|Mem|MEM`)\n\t\tmatchCore := regexp.MustCompile(`core|Core|CORE`)\n\n\t\thwType := \"\"\n\t\tswitch test := name; { // NOtice ';' for var declaration\n\t\tcase matchCPU.MatchString(test):\n\t\t\thwType = \"CPU\"\n\t\tcase matchAcc.MatchString(test):\n\t\t\thwType = \"Accelerator\"\n\t\tcase matchMem.MatchString(test):\n\t\t\thwType = \"Memory\"\n\t\tcase matchCore.MatchString(test):\n\t\t\thwType = \"Core\"\n\t\tdefault:\n\t\t\thwType = \"Other\"\n\t\t}\n\n\t\tres = append(res, &model.EnergyFootprintValue{\n\t\t\tHardware: hwType,\n\t\t\tMetric:   name,\n\t\t\tValue:    value,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *jobResolver) MetaData(ctx context.Context, obj *schema.Job) (any, error) {\n\treturn r.Repo.FetchMetadata(obj)\n}\n\n// UserData is the resolver for the userData field.\nfunc (r *jobResolver) UserData(ctx context.Context, obj *schema.Job) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, obj.User)\n}\n\n// Name is the resolver for the name field.\nfunc (r *metricValueResolver) Name(ctx context.Context, obj *schema.MetricValue) (*string, error) {\n\tpanic(fmt.Errorf(\"not implemented: Name - name\"))\n}\n\n// CreateTag is the resolver for the createTag field.\nfunc (r *mutationResolver) CreateTag(ctx context.Context, typeArg string, name string, scope string) (*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\tif user.HasRole(schema.RoleAdmin) && scope == \"admin\" ||\n\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && scope == \"global\" ||\n\t\tuser.Username == scope {\n\t\t// Create in DB\n\t\tid, err := r.Repo.CreateTag(typeArg, name, scope)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while creating tag\")\n\t\t\treturn nil, err\n\t\t}\n\t\treturn &schema.Tag{ID: id, Type: typeArg, Name: name, Scope: scope}, nil\n\t} else {\n\t\tcclog.Warnf(\"Not authorized to create tag with scope: %s\", scope)\n\t\treturn nil, fmt.Errorf(\"not authorized to create tag with scope: %s\", scope)\n\t}\n}\n\n// DeleteTag is the resolver for the deleteTag field.\nfunc (r *mutationResolver) DeleteTag(ctx context.Context, id string) (string, error) {\n\t// This Uses ID string <-> ID string, removeTagFromList uses []string <-> []int\n\tpanic(fmt.Errorf(\"not implemented: DeleteTag - deleteTag\"))\n}\n\n// AddTagsToJob is the resolver for the addTagsToJob field.\nfunc (r *mutationResolver) AddTagsToJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while adding tag to job\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Add to Job\n\t\t\tif tags, err = r.Repo.AddTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while adding tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to add tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to add tag: %d\", tid)\n\t\t}\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagsFromJob is the resolver for the removeTagsFromJob field.\nfunc (r *mutationResolver) RemoveTagsFromJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Remove from Job\n\t\t\tif tags, err = r.Repo.RemoveTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagFromList is the resolver for the removeTagFromList field.\nfunc (r *mutationResolver) RemoveTagFromList(ctx context.Context, tagIds []string) ([]int, error) {\n\t// Needs Contextuser\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\ttags := []int{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id for removal\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && (tscope == \"global\" || tscope == \"admin\") || user.Username == tscope {\n\t\t\t// Remove from DB\n\t\t\tif err = r.Repo.RemoveTagByID(tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t} else {\n\t\t\t\ttags = append(tags, int(tid))\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\t}\n\treturn tags, nil\n}\n\n// UpdateConfiguration is the resolver for the updateConfiguration field.\nfunc (r *mutationResolver) UpdateConfiguration(ctx context.Context, name string, value string) (*string, error) {\n\tif err := repository.GetUserCfgRepo().UpdateConfig(name, value, repository.GetUserFromContext(ctx)); err != nil {\n\t\tcclog.Warn(\"Error while updating user config\")\n\t\treturn nil, err\n\t}\n\n\treturn nil, nil\n}\n\n// ID is the resolver for the id field.\nfunc (r *nodeResolver) ID(ctx context.Context, obj *schema.Node) (string, error) {\n\tpanic(fmt.Errorf(\"not implemented: ID - id\"))\n}\n\n// SchedulerState is the resolver for the schedulerState field.\nfunc (r *nodeResolver) SchedulerState(ctx context.Context, obj *schema.Node) (schema.SchedulerState, error) {\n\tif obj.NodeState != \"\" {\n\t\treturn obj.NodeState, nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no SchedulerState (NodeState) on node object\")\n\t}\n}\n\n// HealthState is the resolver for the healthState field.\nfunc (r *nodeResolver) HealthState(ctx context.Context, obj *schema.Node) (string, error) {\n\tif obj.HealthState != \"\" {\n\t\treturn string(obj.HealthState), nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no HealthState (NodeState) on node object\")\n\t}\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *nodeResolver) MetaData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.MetaData != nil {\n\t\treturn obj.MetaData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no MetaData (NodeState) on node object\")\n\t\temptyMeta := make(map[string]string, 0)\n\t\treturn emptyMeta, nil\n\t}\n}\n\n// HealthData is the resolver for the healthData field.\nfunc (r *nodeResolver) HealthData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.HealthData != nil {\n\t\treturn obj.HealthData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no HealthData (NodeState) on node object\")\n\t\temptyHealth := make(map[string][]string, 0)\n\t\treturn emptyHealth, nil\n\t}\n}\n\n// Clusters is the resolver for the clusters field.\nfunc (r *queryResolver) Clusters(ctx context.Context) ([]*schema.Cluster, error) {\n\treturn archive.Clusters, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *queryResolver) Tags(ctx context.Context) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), nil)\n}\n\n// GlobalMetrics is the resolver for the globalMetrics field.\nfunc (r *queryResolver) GlobalMetrics(ctx context.Context) ([]*schema.GlobalMetricListItem, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\n\tif user != nil {\n\t\tif user.HasRole(schema.RoleUser) || user.HasRole(schema.RoleManager) {\n\t\t\treturn archive.GlobalUserMetricList, nil\n\t\t}\n\t}\n\n\treturn archive.GlobalMetricList, nil\n}\n\n// User is the resolver for the user field.\nfunc (r *queryResolver) User(ctx context.Context, username string) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, username)\n}\n\n// AllocatedNodes is the resolver for the allocatedNodes field.\nfunc (r *queryResolver) AllocatedNodes(ctx context.Context, cluster string) ([]*model.Count, error) {\n\tdata, err := r.Repo.AllocatedNodes(cluster)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching allocated nodes\")\n\t\treturn nil, err\n\t}\n\n\tcounts := make([]*model.Count, 0, len(data))\n\tfor subcluster, hosts := range data {\n\t\tcounts = append(counts, &model.Count{\n\t\t\tName:  subcluster,\n\t\t\tCount: len(hosts),\n\t\t})\n\t}\n\n\treturn counts, nil\n}\n\n// Node is the resolver for the node field.\nfunc (r *queryResolver) Node(ctx context.Context, id string) (*schema.Node, error) {\n\trepo := repository.GetNodeRepository()\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\treturn repo.GetNodeByID(numericID, false)\n}\n\n// Nodes is the resolver for the nodes field.\nfunc (r *queryResolver) Nodes(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodes(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodesWithMeta is the resolver for the nodesWithMeta field.\nfunc (r *queryResolver) NodesWithMeta(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\t// Why Extra Handler? -> graphql.CollectAllFields(ctx) only returns toplevel fields (i.e.: items, count), and not subfields like item.metaData\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodesWithMeta(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodeStates is the resolver for the nodeStates field.\nfunc (r *queryResolver) NodeStates(ctx context.Context, filter []*model.NodeFilter) ([]*model.NodeStates, error) {\n\trepo := repository.GetNodeRepository()\n\n\tstateCounts, serr := repo.CountStates(ctx, filter, \"node_state\")\n\tif serr != nil {\n\t\tcclog.Warnf(\"Error while counting nodeStates: %s\", serr.Error())\n\t\treturn nil, serr\n\t}\n\n\thealthCounts, herr := repo.CountStates(ctx, filter, \"health_state\")\n\tif herr != nil {\n\t\tcclog.Warnf(\"Error while counting healthStates: %s\", herr.Error())\n\t\treturn nil, herr\n\t}\n\n\tallCounts := append(stateCounts, healthCounts...)\n\n\treturn allCounts, nil\n}\n\n// NodeStatesTimed is the resolver for the nodeStatesTimed field.\nfunc (r *queryResolver) NodeStatesTimed(ctx context.Context, filter []*model.NodeFilter, typeArg string) ([]*model.NodeStatesTimed, error) {\n\trepo := repository.GetNodeRepository()\n\n\tif typeArg == \"node\" {\n\t\tstateCounts, serr := repo.CountStatesTimed(ctx, filter, \"node_state\")\n\t\tif serr != nil {\n\t\t\tcclog.Warnf(\"Error while counting nodeStates in time: %s\", serr.Error())\n\t\t\treturn nil, serr\n\t\t}\n\t\treturn stateCounts, nil\n\t}\n\n\tif typeArg == \"health\" {\n\t\thealthCounts, herr := repo.CountStatesTimed(ctx, filter, \"health_state\")\n\t\tif herr != nil {\n\t\t\tcclog.Warnf(\"Error while counting healthStates in time: %s\", herr.Error())\n\t\t\treturn nil, herr\n\t\t}\n\t\treturn healthCounts, nil\n\t}\n\n\treturn nil, errors.New(\"unknown Node State Query Type\")\n}\n\n// Job is the resolver for the job field.\nfunc (r *queryResolver) Job(ctx context.Context, id string) (*schema.Job, error) {\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\tjob, err := r.Repo.FindByID(ctx, numericID)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while finding job by id\")\n\t\treturn nil, err\n\t}\n\n\tif user := repository.GetUserFromContext(ctx); user != nil &&\n\t\tjob.User != user.Username &&\n\t\tuser.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"you are not allowed to see this job\")\n\t}\n\n\treturn job, nil\n}\n\n// JobMetrics is the resolver for the jobMetrics field.\nfunc (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int) ([]*model.JobMetricWithName, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying job for metrics\")\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobMetricWithName{}\n\tfor name, md := range data {\n\t\tfor scope, metric := range md {\n\t\t\tres = append(res, &model.JobMetricWithName{\n\t\t\t\tName:   name,\n\t\t\t\tScope:  scope,\n\t\t\t\tMetric: metric,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, err\n}\n\n// JobStats is the resolver for the jobStats field.\nfunc (r *queryResolver) JobStats(ctx context.Context, id string, metrics []string) ([]*model.NamedStats, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading jobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := []*model.NamedStats{}\n\tfor name, md := range data {\n\t\tres = append(res, &model.NamedStats{\n\t\t\tName: name,\n\t\t\tData: &md,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// ScopedJobStats is the resolver for the scopedJobStats field.\nfunc (r *queryResolver) ScopedJobStats(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope) ([]*model.NamedStatsWithScope, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadScopedJobStats(job, metrics, scopes, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading scopedJobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := make([]*model.NamedStatsWithScope, 0)\n\tfor name, scoped := range data {\n\t\tfor scope, stats := range scoped {\n\n\t\t\tmdlStats := make([]*model.ScopedStats, 0)\n\t\t\tfor _, stat := range stats {\n\t\t\t\tmdlStats = append(mdlStats, &model.ScopedStats{\n\t\t\t\t\tHostname: stat.Hostname,\n\t\t\t\t\tID:       stat.ID,\n\t\t\t\t\tData:     stat.Data,\n\t\t\t\t})\n\t\t\t}\n\n\t\t\tres = append(res, &model.NamedStatsWithScope{\n\t\t\t\tName:  name,\n\t\t\t\tScope: scope,\n\t\t\t\tStats: mdlStats,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, nil\n}\n\n// Jobs is the resolver for the jobs field.\nfunc (r *queryResolver) Jobs(ctx context.Context, filter []*model.JobFilter, page *model.PageRequest, order *model.OrderByInput) (*model.JobResultList, error) {\n\tif page == nil {\n\t\tpage = &model.PageRequest{\n\t\t\tItemsPerPage: 50,\n\t\t\tPage:         1,\n\t\t}\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, page, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs\")\n\t\treturn nil, err\n\t}\n\n\tcount, err := r.Repo.CountJobs(ctx, filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while counting jobs\")\n\t\treturn nil, err\n\t}\n\n\t// Note: Even if App-Default 'config.Keys.UiDefaults[\"job_list_usePaging\"]' is set, always return hasNextPage boolean.\n\t// Users can decide in frontend to use continuous scroll, even if app-default is paging!\n\t// Skip if page.ItemsPerPage == -1 (\"Load All\" -> No Next Page required, Status Dashboards)\n\t/*\n\t  Example Page 4 @ 10 IpP : Does item 41 exist?\n\t  Minimal Page 41 @ 1 IpP : If len(result) is 1, Page 5 @ 10 IpP exists.\n\t*/\n\thasNextPage := false\n\tif page.ItemsPerPage != -1 {\n\t\tnextPage := &model.PageRequest{\n\t\t\tItemsPerPage: 1,\n\t\t\tPage:         ((page.Page * page.ItemsPerPage) + 1),\n\t\t}\n\t\tnextJobs, err := r.Repo.QueryJobs(ctx, filter, nextPage, order)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while querying next jobs\")\n\t\t\treturn nil, err\n\t\t}\n\t\thasNextPage = len(nextJobs) == 1\n\t}\n\n\treturn &model.JobResultList{Items: jobs, Count: &count, HasNextPage: &hasNextPage}, nil\n}\n\n// JobsStatistics is the resolver for the jobsStatistics field.\nfunc (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobFilter, metrics []string, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, numDurationBins *string, numMetricBins *int) ([]*model.JobsStatistics, error) {\n\tvar err error\n\tvar stats []*model.JobsStatistics\n\n\t// Top Level Defaults\n\tdefaultDurationBins := \"1h\"\n\tdefaultMetricBins := 10\n\n\t// Build requested fields map for selective column computation\n\tstatsFields := []string{\n\t\t\"totalJobs\", \"totalUsers\", \"totalWalltime\", \"totalNodes\", \"totalCores\",\n\t\t\"totalAccs\", \"totalNodeHours\", \"totalCoreHours\", \"totalAccHours\", \"runningJobs\", \"shortJobs\",\n\t}\n\treqFields := make(map[string]bool, len(statsFields))\n\tfetchedMainStats := false\n\tfor _, f := range statsFields {\n\t\tif requireField(ctx, f) {\n\t\t\treqFields[f] = true\n\t\t\tif f != \"runningJobs\" && f != \"shortJobs\" {\n\t\t\t\tfetchedMainStats = true\n\t\t\t}\n\t\t}\n\t}\n\n\tif fetchedMainStats {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n\t\t} else {\n\t\t\tstartGrouped := time.Now()\n\t\t\t// Use request-scoped cache: multiple aliases with same (filter, groupBy)\n\t\t\t// but different sortBy/page hit the DB only once.\n\t\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n\t\t\t\tkey := statsCacheKey(filter, groupBy)\n\t\t\t\tvar allStats []*model.JobsStatistics\n\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil)\n\t\t\t\t})\n\t\t\t\tif err == nil {\n\t\t\t\t\tstats = sortAndPageStats(allStats, sortBy, page)\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\t}\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {\n\t\tstats = make([]*model.JobsStatistics, 0, 1)\n\t\tstats = append(stats, &model.JobsStatistics{})\n\t}\n\n\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n\t// Only run separate count queries if main stats were not fetched.\n\tif !fetchedMainStats {\n\t\tif groupBy != nil {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n\t\t\t}\n\t\t} else {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n\t\t\t}\n\t\t}\n\t}\n\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif requireField(ctx, \"histDuration\") || requireField(ctx, \"histNumNodes\") || requireField(ctx, \"histNumCores\") || requireField(ctx, \"histNumAccs\") {\n\n\t\tif numDurationBins == nil {\n\t\t\tnumDurationBins = &defaultDurationBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddHistograms(ctx, filter, stats[0], numDurationBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\tif requireField(ctx, \"histMetrics\") {\n\n\t\tif numMetricBins == nil {\n\t\t\tnumMetricBins = &defaultMetricBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddMetricHistograms(ctx, filter, metrics, stats[0], numMetricBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"metric histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// JobsMetricStats is the resolver for the jobsMetricStats field.\nfunc (r *queryResolver) JobsMetricStats(ctx context.Context, filter []*model.JobFilter, metrics []string) ([]*model.JobStats, error) {\n\t// No Paging, Fixed Order by StartTime ASC\n\torder := &model.OrderByInput{\n\t\tField: \"startTime\",\n\t\tType:  \"col\",\n\t\tOrder: \"ASC\",\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, nil, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs for comparison\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobStats{}\n\tfor _, job := range jobs {\n\t\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading comparison jobStats data for job id %d\", job.JobID)\n\t\t\tcontinue\n\t\t\t// return nil, err\n\t\t}\n\n\t\tsres := []*model.NamedStats{}\n\t\tfor name, md := range data {\n\t\t\tsres = append(sres, &model.NamedStats{\n\t\t\t\tName: name,\n\t\t\t\tData: &md,\n\t\t\t})\n\t\t}\n\n\t\tnumThreadsInt := int(job.NumHWThreads)\n\t\tnumAccsInt := int(job.NumAcc)\n\t\tres = append(res, &model.JobStats{\n\t\t\tID:              int(*job.ID),\n\t\t\tJobID:           strconv.Itoa(int(job.JobID)),\n\t\t\tStartTime:       int(job.StartTime),\n\t\t\tDuration:        int(job.Duration),\n\t\t\tCluster:         job.Cluster,\n\t\t\tSubCluster:      job.SubCluster,\n\t\t\tNumNodes:        int(job.NumNodes),\n\t\t\tNumHWThreads:    &numThreadsInt,\n\t\t\tNumAccelerators: &numAccsInt,\n\t\t\tStats:           sres,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// JobsFootprints is the resolver for the jobsFootprints field.\nfunc (r *queryResolver) JobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n\t// NOTE: Legacy Naming! This resolver is for normalized histograms in analysis view only - *Not* related to DB \"footprint\" column!\n\treturn r.jobsFootprints(ctx, filter, metrics)\n}\n\n// RooflineHeatmap is the resolver for the rooflineHeatmap field.\nfunc (r *queryResolver) RooflineHeatmap(ctx context.Context, filter []*model.JobFilter, rows int, cols int, minX float64, minY float64, maxX float64, maxY float64) ([][]float64, error) {\n\treturn r.rooflineHeatmap(ctx, filter, rows, cols, minX, minY, maxX, maxY)\n}\n\n// NodeMetrics is the resolver for the nodeMetrics field.\nfunc (r *queryResolver) NodeMetrics(ctx context.Context, cluster string, nodes []string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time) ([]*model.NodeMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tdefaultMetrics := make([]string, 0)\n\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\tdefaultMetrics = append(defaultMetrics, mc.Name)\n\t}\n\tif metrics == nil {\n\t\tmetrics = defaultMetrics\n\t} else {\n\t\tmetrics = slices.DeleteFunc(metrics, func(metric string) bool {\n\t\t\treturn !slices.Contains(defaultMetrics, metric) // Remove undefined metrics.\n\t\t})\n\t}\n\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\tstateMap, _ := nodeRepo.MapNodes(cluster)\n\n\tnodeMetrics := make([]*model.NodeMetrics, 0, len(data))\n\tfor hostname, metrics := range data {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost:    hostname,\n\t\t\tState:   stateMap[hostname],\n\t\t\tMetrics: make([]*model.JobMetricWithName, 0, len(metrics)*len(scopes)),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName:   metric,\n\t\t\t\t\tScope:  schema.MetricScopeNode,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetrics = append(nodeMetrics, host)\n\t}\n\n\treturn nodeMetrics, nil\n}\n\n// NodeMetricsList is the resolver for the nodeMetricsList field.\nfunc (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int) (*model.NodesResultList, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\t// nodes -> array hostname\n\tnodes, stateMap, countNodes, hasNextPage, nerr := nodeRepo.GetNodesForList(ctx, cluster, subCluster, stateFilter, nodeFilter, page)\n\tif nerr != nil {\n\t\treturn nil, errors.New(\"could not retrieve node list required for resolving NodeMetricsList\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\t// data -> map hostname:jobdata\n\tdata, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data (Resolver.NodeMetricsList\")\n\t\treturn nil, err\n\t}\n\n\tnodeMetricsList := make([]*model.NodeMetrics, 0, len(data))\n\tfor _, hostname := range nodes {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost:    hostname,\n\t\t\tState:   stateMap[hostname],\n\t\t\tMetrics: make([]*model.JobMetricWithName, 0),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range data[hostname] {\n\t\t\tfor scope, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName:   metric,\n\t\t\t\t\tScope:  scope,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetricsList = append(nodeMetricsList, host)\n\t}\n\n\tnodeMetricsListResult := &model.NodesResultList{\n\t\tItems: nodeMetricsList,\n\t\t// TotalNodes depends on sum of nodes grouped on latest timestamp, see repo/node.go:357\n\t\tTotalNodes:  &countNodes,\n\t\tHasNextPage: &hasNextPage,\n\t}\n\n\treturn nodeMetricsListResult, nil\n}\n\n// ClusterMetrics is the resolver for the clusterMetrics field.\nfunc (r *queryResolver) ClusterMetrics(ctx context.Context, cluster string, metrics []string, from time.Time, to time.Time) (*model.ClusterMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\t// 'nodes' == nil -> Defaults to all nodes of cluster for existing query workflow\n\tscopes := []schema.MetricScope{\"node\"}\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nil, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tclusterMetricData := make([]*model.ClusterMetricWithName, 0)\n\tclusterMetrics := model.ClusterMetrics{NodeCount: 0, Metrics: clusterMetricData}\n\n\tcollectorTimestep := make(map[string]int)\n\tcollectorUnit := make(map[string]schema.Unit)\n\tcollectorData := make(map[string][]schema.Float)\n\n\tfor _, metrics := range data {\n\t\tclusterMetrics.NodeCount += 1\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\t// Collect Info Once\n\t\t\t\t_, okTimestep := collectorTimestep[metric]\n\t\t\t\tif !okTimestep {\n\t\t\t\t\tcollectorTimestep[metric] = scopedMetric.Timestep\n\t\t\t\t}\n\t\t\t\t_, okUnit := collectorUnit[metric]\n\t\t\t\tif !okUnit {\n\t\t\t\t\tcollectorUnit[metric] = scopedMetric.Unit\n\t\t\t\t}\n\t\t\t\t// Collect Data\n\t\t\t\tfor _, ser := range scopedMetric.Series {\n\t\t\t\t\t_, okData := collectorData[metric]\n\t\t\t\t\t// Init With Datasize > 0\n\t\t\t\t\tif !okData && len(ser.Data) != 0 {\n\t\t\t\t\t\tcollectorData[metric] = make([]schema.Float, len(ser.Data))\n\t\t\t\t\t} else if !okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip init: no data -> %s at %s; size %d\", metric, ser.Hostname, len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t\t// Sum if init'd and matching size\n\t\t\t\t\tif okData && len(ser.Data) == len(collectorData[metric]) {\n\t\t\t\t\t\tfor i, val := range ser.Data {\n\t\t\t\t\t\t\tif val.IsNaN() {\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tcollectorData[metric][i] += val\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else if okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip sum: data diff -> %s at %s; want size %d, have size %d\", metric, ser.Hostname, len(collectorData[metric]), len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tfor metricName, data := range collectorData {\n\t\t// use ccUnits for backend normalization to \"Tera\"\n\t\tp_old := ccunit.NewPrefix(collectorUnit[metricName].Prefix)\n\t\tp_new := ccunit.NewPrefix(\"T\")\n\t\tconvFunc := ccunit.GetPrefixPrefixFactor(p_old, p_new)\n\t\tu_new := schema.Unit{Prefix: p_new.Prefix(), Base: collectorUnit[metricName].Base}\n\n\t\troundedData := make([]schema.Float, 0)\n\t\tfor _, v_old := range data {\n\t\t\tv_new := math.Round(convFunc(float64(v_old)).(float64)*100.0) / 100.0\n\t\t\troundedData = append(roundedData, schema.Float(v_new))\n\t\t}\n\n\t\tcm := model.ClusterMetricWithName{\n\t\t\tName:     metricName,\n\t\t\tUnit:     &u_new,\n\t\t\tTimestep: collectorTimestep[metricName],\n\t\t\tData:     roundedData,\n\t\t}\n\n\t\tclusterMetrics.Metrics = append(clusterMetrics.Metrics, &cm)\n\t}\n\n\treturn &clusterMetrics, nil\n}\n\n// NumberOfNodes is the resolver for the numberOfNodes field.\nfunc (r *subClusterResolver) NumberOfNodes(ctx context.Context, obj *schema.SubCluster) (int, error) {\n\tnodeList, err := archive.ParseNodeList(obj.Nodes)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn nodeList.NodeCount(), nil\n}\n\n// Cluster returns generated.ClusterResolver implementation.\nfunc (r *Resolver) Cluster() generated.ClusterResolver { return &clusterResolver{r} }\n\n// Job returns generated.JobResolver implementation.\nfunc (r *Resolver) Job() generated.JobResolver { return &jobResolver{r} }\n\n// MetricValue returns generated.MetricValueResolver implementation.\nfunc (r *Resolver) MetricValue() generated.MetricValueResolver { return &metricValueResolver{r} }\n\n// Mutation returns generated.MutationResolver implementation.\nfunc (r *Resolver) Mutation() generated.MutationResolver { return &mutationResolver{r} }\n\n// Node returns generated.NodeResolver implementation.\nfunc (r *Resolver) Node() generated.NodeResolver { return &nodeResolver{r} }\n\n// Query returns generated.QueryResolver implementation.\nfunc (r *Resolver) Query() generated.QueryResolver { return &queryResolver{r} }\n\n// SubCluster returns generated.SubClusterResolver implementation.\nfunc (r *Resolver) SubCluster() generated.SubClusterResolver { return &subClusterResolver{r} }\n\ntype clusterResolver struct{ *Resolver }\ntype jobResolver struct{ *Resolver }\ntype metricValueResolver struct{ *Resolver }\ntype mutationResolver struct{ *Resolver }\ntype nodeResolver struct{ *Resolver }\ntype queryResolver struct{ *Resolver }\ntype subClusterResolver struct{ *Resolver }\n","structuredPatch":[{"oldStart":676,"oldLines":10,"newStart":676,"newLines":10,"lines":["       // Use request-scoped cache: multiple aliases with same (filter, groupBy)","       // but different sortBy/page hit the DB only once.","       if cache := getStatsGroupCache(ctx); cache != nil {","-        key := statsCacheKey(filter, groupBy)","+        key := statsCacheKey(filter, groupBy, reqFields)","         var allStats []*model.JobsStatistics","         allStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {","-          return r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil)","+          return r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)","         })","         if err == nil {","           stats = sortAndPageStats(allStats, sortBy, page)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"34428c1b-a455-45e5-b389-32f4e44de37d","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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diff --git a/b9/5ef43221bb/0/metadata.json b/b9/5ef43221bb/0/metadata.json
new file mode 100644
index 00000000..c79c8999
--- /dev/null
+++ b/b9/5ef43221bb/0/metadata.json
@@ -0,0 +1,34 @@
+{
+  "cli_version": "0.5.0",
+  "checkpoint_id": "b95ef43221bb",
+  "session_id": "c8010cd5-db40-4104-813d-673a42ac9dbe",
+  "strategy": "manual-commit",
+  "created_at": "2026-03-19T10:04:32.783395Z",
+  "branch": "hotfix",
+  "checkpoints_count": 1,
+  "files_touched": [
+    "internal/graph/schema.resolvers.go",
+    "internal/graph/stats_cache.go"
+  ],
+  "agent": "Claude Code",
+  "turn_id": "17e536c01b0b",
+  "token_usage": {
+    "input_tokens": 9,
+    "cache_creation_tokens": 10533,
+    "cache_read_tokens": 155712,
+    "output_tokens": 1366,
+    "api_call_count": 7
+  },
+  "session_metrics": {
+    "turn_count": 1
+  },
+  "initial_attribution": {
+    "calculated_at": "2026-03-19T10:04:32.740824Z",
+    "agent_lines": 5,
+    "human_added": 0,
+    "human_modified": 0,
+    "human_removed": 0,
+    "total_committed": 5,
+    "agent_percentage": 100
+  }
+}
diff --git a/b9/5ef43221bb/metadata.json b/b9/5ef43221bb/metadata.json
new file mode 100644
index 00000000..3b5fb0ae
--- /dev/null
+++ b/b9/5ef43221bb/metadata.json
@@ -0,0 +1,26 @@
+{
+  "cli_version": "0.5.0",
+  "checkpoint_id": "b95ef43221bb",
+  "strategy": "manual-commit",
+  "branch": "hotfix",
+  "checkpoints_count": 1,
+  "files_touched": [
+    "internal/graph/schema.resolvers.go",
+    "internal/graph/stats_cache.go"
+  ],
+  "sessions": [
+    {
+      "metadata": "/b9/5ef43221bb/0/metadata.json",
+      "transcript": "/b9/5ef43221bb/0/full.jsonl",
+      "content_hash": "/b9/5ef43221bb/0/content_hash.txt",
+      "prompt": ""
+    }
+  ],
+  "token_usage": {
+    "input_tokens": 9,
+    "cache_creation_tokens": 10533,
+    "cache_read_tokens": 155712,
+    "output_tokens": 1366,
+    "api_call_count": 7
+  }
+}
diff --git a/bf/29af79b268/0/content_hash.txt b/bf/29af79b268/0/content_hash.txt
new file mode 100644
index 00000000..375e560c
--- /dev/null
+++ b/bf/29af79b268/0/content_hash.txt
@@ -0,0 +1 @@
+sha256:b184f713fed8a0efc8240d19849de07ab8e1009e71da3ce0891e3f282cf69adb
\ No newline at end of file
diff --git a/bf/29af79b268/0/context.md b/bf/29af79b268/0/context.md
new file mode 100644
index 00000000..fab3958e
--- /dev/null
+++ b/bf/29af79b268/0/context.md
@@ -0,0 +1,34 @@
+# Session Context
+
+## User Prompts
+
+### Prompt 1
+
+Implement the following plan:
+
+# Fix: Memory Escalation in flattenCheckpointFile (68GB+)
+
+## Context
+
+Production gops shows `flattenCheckpointFile` allocating 68GB+ (74.89% of memory). The archiving pipeline accumulates ALL metric data from ALL hosts into a single `[]ParquetMetricRow` slice before writing to Parquet. For large HPC clusters this is catastrophic. Additionally, the `SortingWriterConfig` in the parquet writer buffers everything again internally.
+
+## Root Cause
+
+Two-layer unbounde...
+
+### Prompt 2
+
+Are the any other cases with memory spikes using the Parquet Writer, e.g. in the nodestate retention?
+
+### Prompt 3
+
+[Request interrupted by user for tool use]
+
+### Prompt 4
+
+Compare the archive writer implementation with @~/tmp/cc-backend/pkg/metricstore/parquetArchive.go . Compare and explain differences.
+
+### Prompt 5
+
+Add an Info logmessage in archiveCheckpoints that archving started and provide timing information how long it took.
+
diff --git a/bf/29af79b268/0/full.jsonl b/bf/29af79b268/0/full.jsonl
new file mode 100644
index 00000000..7bc88608
--- /dev/null
+++ b/bf/29af79b268/0/full.jsonl
@@ -0,0 +1,168 @@
+{"type":"file-history-snapshot","messageId":"b533e922-ca3a-46ea-b62d-b0ee4ca0d906","snapshot":{"messageId":"b533e922-ca3a-46ea-b62d-b0ee4ca0d906","trackedFileBackups":{},"timestamp":"2026-03-17T18:14:06.692Z"},"isSnapshotUpdate":false}
+{"parentUuid":null,"isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"d78d8e9c-5382-4185-9219-683f79dd3065","toolUseID":"d78d8e9c-5382-4185-9219-683f79dd3065","timestamp":"2026-03-17T18:14:06.646Z","uuid":"1ccea021-492e-4f7f-8ce8-eb5cd2377954","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
+{"parentUuid":"1ccea021-492e-4f7f-8ce8-eb5cd2377954","isSidechain":false,"promptId":"9e69bd94-834f-43c2-9173-add782b0f1d4","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Fix: Memory Escalation in flattenCheckpointFile (68GB+)\n\n## Context\n\nProduction gops shows `flattenCheckpointFile` allocating 68GB+ (74.89% of memory). The archiving pipeline accumulates ALL metric data from ALL hosts into a single `[]ParquetMetricRow` slice before writing to Parquet. For large HPC clusters this is catastrophic. Additionally, the `SortingWriterConfig` in the parquet writer buffers everything again internally.\n\n## Root Cause\n\nTwo-layer unbounded accumulation:\n\n1. **`archive.go:239-242`**: `allRows = append(allRows, r.rows...)` merges every host's rows into one giant slice\n2. **`parquetArchive.go:108-116`**: `SortingWriterConfig` creates a sorting writer that buffers ALL rows until `Close()`\n3. **`parquetArchive.go:199`**: `var rows []ParquetMetricRow` starts at zero capacity, grows via append doubling\n\nPeak memory = (all hosts' rows) + (sorting writer copy) + (append overhead) = ~3x raw data size.\n\n## Fix: Stream per-host to parquet writer\n\nInstead of accumulating all rows, write each host's data as a separate row group.\n\n### Step 1: Add streaming parquet writer (`parquetArchive.go`)\n\nReplace `writeParquetArchive(filename, rows)` with a struct that supports incremental writes:\n\n```go\ntype parquetArchiveWriter struct {\n    writer *pq.GenericWriter[ParquetMetricRow]\n    bw     *bufio.Writer\n    f      *os.File\n    count  int\n}\n\nfunc newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error)\nfunc (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error  // Write + Flush (creates row group)\nfunc (w *parquetArchiveWriter) Close() error\n```\n\n- **Remove `SortingWriterConfig`** - no global sort buffer\n- Sort each host's rows in-place with `sort.Slice` before writing (cheap: single host data)\n- Each `Flush()` creates a separate row group per host\n\n### Step 2: Add row count estimation (`parquetArchive.go`)\n\n```go\nfunc estimateRowCount(cf *CheckpointFile) int\n```\n\nPre-allocate `rows` slice in `archiveCheckpointsToParquet` to avoid append doubling per host.\n\n### Step 3: Restructure `archiveCheckpoints` (`archive.go`)\n\nChange from:\n```\nworkers → channel → accumulate allRows → writeParquetArchive(allRows)\n```\n\nTo:\n```\nopen writer → workers → channel → for each host: sort rows, writer.WriteHostRows(rows) → close writer\n```\n\n- Only one host's rows in memory at a time\n- Track `files`/`dir` for deletion separately (don't retain rows)\n- Check `writer.count > 0` instead of `len(allRows) == 0`\n\n### Step 4: Update test (`parquetArchive_test.go`)\n\n- `TestParquetArchiveRoundtrip`: use new streaming writer API\n- Keep `archiveCheckpointsToParquet` returning rows (it's per-host, manageable size)\n\n## Files to Modify\n\n- **`pkg/metricstore/parquetArchive.go`**: Add `parquetArchiveWriter`, `estimateRowCount`; remove `writeParquetArchive`; add `\"sort\"` import\n- **`pkg/metricstore/archive.go`**: Restructure `archiveCheckpoints` to stream\n- **`pkg/metricstore/parquetArchive_test.go`**: Update roundtrip test\n\n## Memory Impact\n\n- **Before**: All hosts in memory (~40GB for 256 nodes) + sorting buffer (~40GB) = 68GB+\n- **After**: One host at a time (~16MB) + parquet page buffer (~1MB) = ~17MB peak\n\n## Sorting Tradeoff\n\nThe output changes from one globally-sorted row group to N row groups (one per host), each internally sorted by (metric, timestamp). This is actually better for ClusterCockpit's per-host query patterns (enables row group skipping).\n\n## Verification\n\n```bash\ngo test -v ./pkg/metricstore/...\n```\n\nAlso verify with `go vet ./pkg/metricstore/...` for correctness.\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-CC-cc-backend/71340843-de3d-4e83-9dcb-2fc130c50e0d.jsonl"},"uuid":"b533e922-ca3a-46ea-b62d-b0ee4ca0d906","timestamp":"2026-03-17T18:14:06.473Z","planContent":"# Fix: Memory Escalation in flattenCheckpointFile (68GB+)\n\n## Context\n\nProduction gops shows `flattenCheckpointFile` allocating 68GB+ (74.89% of memory). The archiving pipeline accumulates ALL metric data from ALL hosts into a single `[]ParquetMetricRow` slice before writing to Parquet. For large HPC clusters this is catastrophic. Additionally, the `SortingWriterConfig` in the parquet writer buffers everything again internally.\n\n## Root Cause\n\nTwo-layer unbounded accumulation:\n\n1. **`archive.go:239-242`**: `allRows = append(allRows, r.rows...)` merges every host's rows into one giant slice\n2. **`parquetArchive.go:108-116`**: `SortingWriterConfig` creates a sorting writer that buffers ALL rows until `Close()`\n3. **`parquetArchive.go:199`**: `var rows []ParquetMetricRow` starts at zero capacity, grows via append doubling\n\nPeak memory = (all hosts' rows) + (sorting writer copy) + (append overhead) = ~3x raw data size.\n\n## Fix: Stream per-host to parquet writer\n\nInstead of accumulating all rows, write each host's data as a separate row group.\n\n### Step 1: Add streaming parquet writer (`parquetArchive.go`)\n\nReplace `writeParquetArchive(filename, rows)` with a struct that supports incremental writes:\n\n```go\ntype parquetArchiveWriter struct {\n    writer *pq.GenericWriter[ParquetMetricRow]\n    bw     *bufio.Writer\n    f      *os.File\n    count  int\n}\n\nfunc newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error)\nfunc (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error  // Write + Flush (creates row group)\nfunc (w *parquetArchiveWriter) Close() error\n```\n\n- **Remove `SortingWriterConfig`** - no global sort buffer\n- Sort each host's rows in-place with `sort.Slice` before writing (cheap: single host data)\n- Each `Flush()` creates a separate row group per host\n\n### Step 2: Add row count estimation (`parquetArchive.go`)\n\n```go\nfunc estimateRowCount(cf *CheckpointFile) int\n```\n\nPre-allocate `rows` slice in `archiveCheckpointsToParquet` to avoid append doubling per host.\n\n### Step 3: Restructure `archiveCheckpoints` (`archive.go`)\n\nChange from:\n```\nworkers → channel → accumulate allRows → writeParquetArchive(allRows)\n```\n\nTo:\n```\nopen writer → workers → channel → for each host: sort rows, writer.WriteHostRows(rows) → close writer\n```\n\n- Only one host's rows in memory at a time\n- Track `files`/`dir` for deletion separately (don't retain rows)\n- Check `writer.count > 0` instead of `len(allRows) == 0`\n\n### Step 4: Update test (`parquetArchive_test.go`)\n\n- `TestParquetArchiveRoundtrip`: use new streaming writer API\n- Keep `archiveCheckpointsToParquet` returning rows (it's per-host, manageable size)\n\n## Files to Modify\n\n- **`pkg/metricstore/parquetArchive.go`**: Add `parquetArchiveWriter`, `estimateRowCount`; remove `writeParquetArchive`; add `\"sort\"` import\n- **`pkg/metricstore/archive.go`**: Restructure `archiveCheckpoints` to stream\n- **`pkg/metricstore/parquetArchive_test.go`**: Update roundtrip test\n\n## Memory Impact\n\n- **Before**: All hosts in memory (~40GB for 256 nodes) + sorting buffer (~40GB) = 68GB+\n- **After**: One host at a time (~16MB) + parquet page buffer (~1MB) = ~17MB peak\n\n## Sorting Tradeoff\n\nThe output changes from one globally-sorted row group to N row groups (one per host), each internally sorted by (metric, timestamp). This is actually better for ClusterCockpit's per-host query patterns (enables row group skipping).\n\n## Verification\n\n```bash\ngo test -v ./pkg/metricstore/...\n```\n\nAlso verify with `go vet ./pkg/metricstore/...` for correctness.\n","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"8c2533e3-d964-4a82-9cba-cec560086bc5","isSidechain":false,"promptId":"9e69bd94-834f-43c2-9173-add782b0f1d4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JW7rVTjQ4z7YAw3jsNrSDY","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package metricstore\n     7→\n     8→import (\n     9→\t\"bufio\"\n    10→\t\"encoding/binary\"\n    11→\t\"encoding/json\"\n    12→\t\"fmt\"\n    13→\t\"os\"\n    14→\t\"path/filepath\"\n    15→\n    16→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    17→\tpq \"github.com/parquet-go/parquet-go\"\n    18→)\n    19→\n    20→// ParquetMetricRow is the long-format schema for archived metric data.\n    21→// One row per (host, metric, scope, scope_id, timestamp) data point.\n    22→// Sorted by (cluster, hostname, metric, timestamp) for optimal compression.\n    23→type ParquetMetricRow struct {\n    24→\tCluster   string  `parquet:\"cluster\"`\n    25→\tHostname  string  `parquet:\"hostname\"`\n    26→\tMetric    string  `parquet:\"metric\"`\n    27→\tScope     string  `parquet:\"scope\"`\n    28→\tScopeID   string  `parquet:\"scope_id\"`\n    29→\tTimestamp int64   `parquet:\"timestamp\"`\n    30→\tFrequency int64   `parquet:\"frequency\"`\n    31→\tValue     float32 `parquet:\"value\"`\n    32→}\n    33→\n    34→// flattenCheckpointFile recursively converts a CheckpointFile tree into Parquet rows.\n    35→// The scope path is built from the hierarchy: host level is \"node\", then child names\n    36→// map to scope/scope_id (e.g., \"socket0\" → scope=\"socket\", scope_id=\"0\").\n    37→func flattenCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string, rows []ParquetMetricRow) []ParquetMetricRow {\n    38→\tfor metricName, cm := range cf.Metrics {\n    39→\t\tts := cm.Start\n    40→\t\tfor _, v := range cm.Data {\n    41→\t\t\tif !v.IsNaN() {\n    42→\t\t\t\trows = append(rows, ParquetMetricRow{\n    43→\t\t\t\t\tCluster:   cluster,\n    44→\t\t\t\t\tHostname:  hostname,\n    45→\t\t\t\t\tMetric:    metricName,\n    46→\t\t\t\t\tScope:     scope,\n    47→\t\t\t\t\tScopeID:   scopeID,\n    48→\t\t\t\t\tTimestamp: ts,\n    49→\t\t\t\t\tFrequency: cm.Frequency,\n    50→\t\t\t\t\tValue:     float32(v),\n    51→\t\t\t\t})\n    52→\t\t\t}\n    53→\t\t\tts += cm.Frequency\n    54→\t\t}\n    55→\t}\n    56→\n    57→\tfor childName, childCf := range cf.Children {\n    58→\t\tchildScope, childScopeID := parseScopeFromName(childName)\n    59→\t\trows = flattenCheckpointFile(childCf, cluster, hostname, childScope, childScopeID, rows)\n    60→\t}\n    61→\n    62→\treturn rows\n    63→}\n    64→\n    65→// parseScopeFromName infers scope and scope_id from a child level name.\n    66→// Examples: \"socket0\" → (\"socket\", \"0\"), \"core12\" → (\"core\", \"12\"),\n    67→// \"a0\" (accelerator) → (\"accelerator\", \"0\").\n    68→// If the name doesn't match known patterns, it's used as-is for scope with empty scope_id.\n    69→func parseScopeFromName(name string) (string, string) {\n    70→\tprefixes := []struct {\n    71→\t\tprefix string\n    72→\t\tscope  string\n    73→\t}{\n    74→\t\t{\"socket\", \"socket\"},\n    75→\t\t{\"memoryDomain\", \"memoryDomain\"},\n    76→\t\t{\"core\", \"core\"},\n    77→\t\t{\"hwthread\", \"hwthread\"},\n    78→\t\t{\"cpu\", \"hwthread\"},\n    79→\t\t{\"accelerator\", \"accelerator\"},\n    80→\t}\n    81→\n    82→\tfor _, p := range prefixes {\n    83→\t\tif len(name) > len(p.prefix) && name[:len(p.prefix)] == p.prefix {\n    84→\t\t\tid := name[len(p.prefix):]\n    85→\t\t\tif len(id) > 0 && id[0] >= '0' && id[0] <= '9' {\n    86→\t\t\t\treturn p.scope, id\n    87→\t\t\t}\n    88→\t\t}\n    89→\t}\n    90→\n    91→\treturn name, \"\"\n    92→}\n    93→\n    94→// writeParquetArchive writes rows to a Parquet file with Zstd compression.\n    95→func writeParquetArchive(filename string, rows []ParquetMetricRow) error {\n    96→\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n    97→\t\treturn fmt.Errorf(\"creating archive directory: %w\", err)\n    98→\t}\n    99→\n   100→\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n   101→\tif err != nil {\n   102→\t\treturn fmt.Errorf(\"creating parquet file: %w\", err)\n   103→\t}\n   104→\tdefer f.Close()\n   105→\n   106→\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n   107→\n   108→\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n   109→\t\tpq.Compression(&pq.Zstd),\n   110→\t\tpq.SortingWriterConfig(pq.SortingColumns(\n   111→\t\t\tpq.Ascending(\"cluster\"),\n   112→\t\t\tpq.Ascending(\"hostname\"),\n   113→\t\t\tpq.Ascending(\"metric\"),\n   114→\t\t\tpq.Ascending(\"timestamp\"),\n   115→\t\t)),\n   116→\t)\n   117→\n   118→\tif _, err := writer.Write(rows); err != nil {\n   119→\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n   120→\t}\n   121→\n   122→\tif err := writer.Close(); err != nil {\n   123→\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n   124→\t}\n   125→\n   126→\tif err := bw.Flush(); err != nil {\n   127→\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n   128→\t}\n   129→\n   130→\treturn nil\n   131→}\n   132→\n   133→// loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns\n   134→// a CheckpointFile. Used by the Parquet archiver to read checkpoint data\n   135→// before converting it to Parquet format.\n   136→func loadCheckpointFileFromDisk(filename string) (*CheckpointFile, error) {\n   137→\tf, err := os.Open(filename)\n   138→\tif err != nil {\n   139→\t\treturn nil, err\n   140→\t}\n   141→\tdefer f.Close()\n   142→\n   143→\text := filepath.Ext(filename)\n   144→\tswitch ext {\n   145→\tcase \".json\":\n   146→\t\tcf := &CheckpointFile{}\n   147→\t\tbr := bufio.NewReader(f)\n   148→\t\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n   149→\t\t\treturn nil, fmt.Errorf(\"decoding JSON checkpoint %s: %w\", filename, err)\n   150→\t\t}\n   151→\t\treturn cf, nil\n   152→\n   153→\tcase \".bin\":\n   154→\t\tbr := bufio.NewReader(f)\n   155→\t\tvar magic uint32\n   156→\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n   157→\t\t\treturn nil, fmt.Errorf(\"reading magic from %s: %w\", filename, err)\n   158→\t\t}\n   159→\t\tif magic != snapFileMagic {\n   160→\t\t\treturn nil, fmt.Errorf(\"invalid snapshot magic in %s: 0x%08X\", filename, magic)\n   161→\t\t}\n   162→\t\tvar fileFrom, fileTo int64\n   163→\t\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n   164→\t\t\treturn nil, fmt.Errorf(\"reading from-timestamp from %s: %w\", filename, err)\n   165→\t\t}\n   166→\t\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n   167→\t\t\treturn nil, fmt.Errorf(\"reading to-timestamp from %s: %w\", filename, err)\n   168→\t\t}\n   169→\t\tcf, err := readBinaryLevel(br)\n   170→\t\tif err != nil {\n   171→\t\t\treturn nil, fmt.Errorf(\"reading binary level from %s: %w\", filename, err)\n   172→\t\t}\n   173→\t\tcf.From = fileFrom\n   174→\t\tcf.To = fileTo\n   175→\t\treturn cf, nil\n   176→\n   177→\tdefault:\n   178→\t\treturn nil, fmt.Errorf(\"unsupported checkpoint extension: %s\", ext)\n   179→\t}\n   180→}\n   181→\n   182→// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n   183→// converts them to Parquet rows. Returns the rows and filenames that were processed.\n   184→func archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n   185→\tentries, err := os.ReadDir(dir)\n   186→\tif err != nil {\n   187→\t\treturn nil, nil, err\n   188→\t}\n   189→\n   190→\tfiles, err := findFiles(entries, from, false)\n   191→\tif err != nil {\n   192→\t\treturn nil, nil, err\n   193→\t}\n   194→\n   195→\tif len(files) == 0 {\n   196→\t\treturn nil, nil, nil\n   197→\t}\n   198→\n   199→\tvar rows []ParquetMetricRow\n   200→\n   201→\tfor _, checkpoint := range files {\n   202→\t\tfilename := filepath.Join(dir, checkpoint)\n   203→\t\tcf, err := loadCheckpointFileFromDisk(filename)\n   204→\t\tif err != nil {\n   205→\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n   206→\t\t\tcontinue\n   207→\t\t}\n   208→\n   209→\t\trows = flattenCheckpointFile(cf, cluster, host, \"node\", \"\", rows)\n   210→\t}\n   211→\n   212→\treturn rows, files, nil\n   213→}\n   214→"}]},"uuid":"7b2d9ff8-b786-4c43-aceb-98f92f903d5c","timestamp":"2026-03-17T18:14:10.793Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"encoding/binary\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\n// ParquetMetricRow is the long-format schema for archived metric data.\n// One row per (host, metric, scope, scope_id, timestamp) data point.\n// Sorted by (cluster, hostname, metric, timestamp) for optimal compression.\ntype ParquetMetricRow struct {\n\tCluster   string  `parquet:\"cluster\"`\n\tHostname  string  `parquet:\"hostname\"`\n\tMetric    string  `parquet:\"metric\"`\n\tScope     string  `parquet:\"scope\"`\n\tScopeID   string  `parquet:\"scope_id\"`\n\tTimestamp int64   `parquet:\"timestamp\"`\n\tFrequency int64   `parquet:\"frequency\"`\n\tValue     float32 `parquet:\"value\"`\n}\n\n// flattenCheckpointFile recursively converts a CheckpointFile tree into Parquet rows.\n// The scope path is built from the hierarchy: host level is \"node\", then child names\n// map to scope/scope_id (e.g., \"socket0\" → scope=\"socket\", scope_id=\"0\").\nfunc flattenCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string, rows []ParquetMetricRow) []ParquetMetricRow {\n\tfor metricName, cm := range cf.Metrics {\n\t\tts := cm.Start\n\t\tfor _, v := range cm.Data {\n\t\t\tif !v.IsNaN() {\n\t\t\t\trows = append(rows, ParquetMetricRow{\n\t\t\t\t\tCluster:   cluster,\n\t\t\t\t\tHostname:  hostname,\n\t\t\t\t\tMetric:    metricName,\n\t\t\t\t\tScope:     scope,\n\t\t\t\t\tScopeID:   scopeID,\n\t\t\t\t\tTimestamp: ts,\n\t\t\t\t\tFrequency: cm.Frequency,\n\t\t\t\t\tValue:     float32(v),\n\t\t\t\t})\n\t\t\t}\n\t\t\tts += cm.Frequency\n\t\t}\n\t}\n\n\tfor childName, childCf := range cf.Children {\n\t\tchildScope, childScopeID := parseScopeFromName(childName)\n\t\trows = flattenCheckpointFile(childCf, cluster, hostname, childScope, childScopeID, rows)\n\t}\n\n\treturn rows\n}\n\n// parseScopeFromName infers scope and scope_id from a child level name.\n// Examples: \"socket0\" → (\"socket\", \"0\"), \"core12\" → (\"core\", \"12\"),\n// \"a0\" (accelerator) → (\"accelerator\", \"0\").\n// If the name doesn't match known patterns, it's used as-is for scope with empty scope_id.\nfunc parseScopeFromName(name string) (string, string) {\n\tprefixes := []struct {\n\t\tprefix string\n\t\tscope  string\n\t}{\n\t\t{\"socket\", \"socket\"},\n\t\t{\"memoryDomain\", \"memoryDomain\"},\n\t\t{\"core\", \"core\"},\n\t\t{\"hwthread\", \"hwthread\"},\n\t\t{\"cpu\", \"hwthread\"},\n\t\t{\"accelerator\", \"accelerator\"},\n\t}\n\n\tfor _, p := range prefixes {\n\t\tif len(name) > len(p.prefix) && name[:len(p.prefix)] == p.prefix {\n\t\t\tid := name[len(p.prefix):]\n\t\t\tif len(id) > 0 && id[0] >= '0' && id[0] <= '9' {\n\t\t\t\treturn p.scope, id\n\t\t\t}\n\t\t}\n\t}\n\n\treturn name, \"\"\n}\n\n// writeParquetArchive writes rows to a Parquet file with Zstd compression.\nfunc writeParquetArchive(filename string, rows []ParquetMetricRow) error {\n\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"creating archive directory: %w\", err)\n\t}\n\n\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"creating parquet file: %w\", err)\n\t}\n\tdefer f.Close()\n\n\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n\n\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n\t\tpq.Compression(&pq.Zstd),\n\t\tpq.SortingWriterConfig(pq.SortingColumns(\n\t\t\tpq.Ascending(\"cluster\"),\n\t\t\tpq.Ascending(\"hostname\"),\n\t\t\tpq.Ascending(\"metric\"),\n\t\t\tpq.Ascending(\"timestamp\"),\n\t\t)),\n\t)\n\n\tif _, err := writer.Write(rows); err != nil {\n\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n\t}\n\n\tif err := writer.Close(); err != nil {\n\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n\t}\n\n\tif err := bw.Flush(); err != nil {\n\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n\t}\n\n\treturn nil\n}\n\n// loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns\n// a CheckpointFile. Used by the Parquet archiver to read checkpoint data\n// before converting it to Parquet format.\nfunc loadCheckpointFileFromDisk(filename string) (*CheckpointFile, error) {\n\tf, err := os.Open(filename)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer f.Close()\n\n\text := filepath.Ext(filename)\n\tswitch ext {\n\tcase \".json\":\n\t\tcf := &CheckpointFile{}\n\t\tbr := bufio.NewReader(f)\n\t\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"decoding JSON checkpoint %s: %w\", filename, err)\n\t\t}\n\t\treturn cf, nil\n\n\tcase \".bin\":\n\t\tbr := bufio.NewReader(f)\n\t\tvar magic uint32\n\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading magic from %s: %w\", filename, err)\n\t\t}\n\t\tif magic != snapFileMagic {\n\t\t\treturn nil, fmt.Errorf(\"invalid snapshot magic in %s: 0x%08X\", filename, magic)\n\t\t}\n\t\tvar fileFrom, fileTo int64\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading from-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading to-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tcf, err := readBinaryLevel(br)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading binary level from %s: %w\", filename, err)\n\t\t}\n\t\tcf.From = fileFrom\n\t\tcf.To = fileTo\n\t\treturn cf, nil\n\n\tdefault:\n\t\treturn nil, fmt.Errorf(\"unsupported checkpoint extension: %s\", ext)\n\t}\n}\n\n// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n// converts them to Parquet rows. Returns the rows and filenames that were processed.\nfunc archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n\tentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tfiles, err := findFiles(entries, from, false)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tif len(files) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\tvar rows []ParquetMetricRow\n\n\tfor _, checkpoint := range files {\n\t\tfilename := filepath.Join(dir, checkpoint)\n\t\tcf, err := loadCheckpointFileFromDisk(filename)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n\t\t\tcontinue\n\t\t}\n\n\t\trows = flattenCheckpointFile(cf, cluster, host, \"node\", \"\", rows)\n\t}\n\n\treturn rows, files, nil\n}\n","numLines":214,"startLine":1,"totalLines":214}},"sourceToolAssistantUUID":"8c2533e3-d964-4a82-9cba-cec560086bc5","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
+{"parentUuid":"7b2d9ff8-b786-4c43-aceb-98f92f903d5c","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01TTkqqEZu8i9v4aSq57ZyF8","toolUseID":"toolu_01TTkqqEZu8i9v4aSq57ZyF8","timestamp":"2026-03-17T18:14:10.792Z","uuid":"237be391-9ce8-4868-88ec-2ffeaa23653f","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
+{"parentUuid":"4704a1bc-5253-41ee-b057-59f5c34430a8","isSidechain":false,"promptId":"9e69bd94-834f-43c2-9173-add782b0f1d4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TTkqqEZu8i9v4aSq57ZyF8","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package metricstore\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"errors\"\n    11→\t\"fmt\"\n    12→\t\"os\"\n    13→\t\"path/filepath\"\n    14→\t\"sync\"\n    15→\t\"sync/atomic\"\n    16→\t\"time\"\n    17→\n    18→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    19→)\n    20→\n    21→// Worker for either Archiving or Deleting files\n    22→\n    23→func CleanUp(wg *sync.WaitGroup, ctx context.Context) {\n    24→\tif Keys.Cleanup.Mode == \"archive\" {\n    25→\t\t// Run as Archiver\n    26→\t\tcleanUpWorker(wg, ctx,\n    27→\t\t\tKeys.RetentionInMemory,\n    28→\t\t\t\"archiving\",\n    29→\t\t\tKeys.Cleanup.RootDir,\n    30→\t\t\tfalse,\n    31→\t\t)\n    32→\t} else {\n    33→\t\t// Run as Deleter\n    34→\t\tcleanUpWorker(wg, ctx,\n    35→\t\t\tKeys.RetentionInMemory,\n    36→\t\t\t\"deleting\",\n    37→\t\t\t\"\",\n    38→\t\t\ttrue,\n    39→\t\t)\n    40→\t}\n    41→}\n    42→\n    43→// cleanUpWorker takes simple values to configure what it does\n    44→func cleanUpWorker(wg *sync.WaitGroup, ctx context.Context, interval string, mode string, cleanupDir string, delete bool) {\n    45→\twg.Go(func() {\n    46→\n    47→\t\td, err := time.ParseDuration(interval)\n    48→\t\tif err != nil {\n    49→\t\t\tcclog.Fatalf(\"[METRICSTORE]> error parsing %s interval duration: %v\\n\", mode, err)\n    50→\t\t}\n    51→\t\tif d <= 0 {\n    52→\t\t\treturn\n    53→\t\t}\n    54→\n    55→\t\tticker := time.NewTicker(d)\n    56→\t\tdefer ticker.Stop()\n    57→\n    58→\t\tfor {\n    59→\t\t\tselect {\n    60→\t\t\tcase <-ctx.Done():\n    61→\t\t\t\treturn\n    62→\t\t\tcase <-ticker.C:\n    63→\t\t\t\tt := time.Now().Add(-d)\n    64→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start %s checkpoints (older than %s)...\", mode, t.Format(time.RFC3339))\n    65→\n    66→\t\t\t\tn, err := CleanupCheckpoints(Keys.Checkpoints.RootDir, cleanupDir, t.Unix(), delete)\n    67→\n    68→\t\t\t\tif err != nil {\n    69→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> %s failed: %s\", mode, err.Error())\n    70→\t\t\t\t} else {\n    71→\t\t\t\t\tif delete {\n    72→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoints deleted\", n)\n    73→\t\t\t\t\t} else {\n    74→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files archived to parquet\", n)\n    75→\t\t\t\t\t}\n    76→\t\t\t\t}\n    77→\t\t\t}\n    78→\t\t}\n    79→\t})\n    80→}\n    81→\n    82→var ErrNoNewArchiveData error = errors.New(\"all data already archived\")\n    83→\n    84→// CleanupCheckpoints deletes or archives all checkpoint files older than `from`.\n    85→// When archiving, consolidates all hosts per cluster into a single Parquet file.\n    86→func CleanupCheckpoints(checkpointsDir, cleanupDir string, from int64, deleteInstead bool) (int, error) {\n    87→\tif deleteInstead {\n    88→\t\treturn deleteCheckpoints(checkpointsDir, from)\n    89→\t}\n    90→\n    91→\treturn archiveCheckpoints(checkpointsDir, cleanupDir, from)\n    92→}\n    93→\n    94→// deleteCheckpoints removes checkpoint files older than `from` across all clusters/hosts.\n    95→func deleteCheckpoints(checkpointsDir string, from int64) (int, error) {\n    96→\tentries1, err := os.ReadDir(checkpointsDir)\n    97→\tif err != nil {\n    98→\t\treturn 0, err\n    99→\t}\n   100→\n   101→\ttype workItem struct {\n   102→\t\tdir            string\n   103→\t\tcluster, host  string\n   104→\t}\n   105→\n   106→\tvar wg sync.WaitGroup\n   107→\tn, errs := int32(0), int32(0)\n   108→\twork := make(chan workItem, Keys.NumWorkers)\n   109→\n   110→\twg.Add(Keys.NumWorkers)\n   111→\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n   112→\t\tgo func() {\n   113→\t\t\tdefer wg.Done()\n   114→\t\t\tfor item := range work {\n   115→\t\t\t\tentries, err := os.ReadDir(item.dir)\n   116→\t\t\t\tif err != nil {\n   117→\t\t\t\t\tcclog.Errorf(\"error reading %s/%s: %s\", item.cluster, item.host, err.Error())\n   118→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   119→\t\t\t\t\tcontinue\n   120→\t\t\t\t}\n   121→\n   122→\t\t\t\tfiles, err := findFiles(entries, from, false)\n   123→\t\t\t\tif err != nil {\n   124→\t\t\t\t\tcclog.Errorf(\"error finding files in %s/%s: %s\", item.cluster, item.host, err.Error())\n   125→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   126→\t\t\t\t\tcontinue\n   127→\t\t\t\t}\n   128→\n   129→\t\t\t\tfor _, checkpoint := range files {\n   130→\t\t\t\t\tif err := os.Remove(filepath.Join(item.dir, checkpoint)); err != nil {\n   131→\t\t\t\t\t\tcclog.Errorf(\"error deleting %s/%s/%s: %s\", item.cluster, item.host, checkpoint, err.Error())\n   132→\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   133→\t\t\t\t\t} else {\n   134→\t\t\t\t\t\tatomic.AddInt32(&n, 1)\n   135→\t\t\t\t\t}\n   136→\t\t\t\t}\n   137→\t\t\t}\n   138→\t\t}()\n   139→\t}\n   140→\n   141→\tfor _, de1 := range entries1 {\n   142→\t\tentries2, e := os.ReadDir(filepath.Join(checkpointsDir, de1.Name()))\n   143→\t\tif e != nil {\n   144→\t\t\terr = e\n   145→\t\t\tcontinue\n   146→\t\t}\n   147→\n   148→\t\tfor _, de2 := range entries2 {\n   149→\t\t\twork <- workItem{\n   150→\t\t\t\tdir:     filepath.Join(checkpointsDir, de1.Name(), de2.Name()),\n   151→\t\t\t\tcluster: de1.Name(),\n   152→\t\t\t\thost:    de2.Name(),\n   153→\t\t\t}\n   154→\t\t}\n   155→\t}\n   156→\n   157→\tclose(work)\n   158→\twg.Wait()\n   159→\n   160→\tif err != nil {\n   161→\t\treturn int(n), err\n   162→\t}\n   163→\tif errs > 0 {\n   164→\t\treturn int(n), fmt.Errorf(\"%d errors happened while deleting (%d successes)\", errs, n)\n   165→\t}\n   166→\treturn int(n), nil\n   167→}\n   168→\n   169→// archiveCheckpoints archives checkpoint files to Parquet format.\n   170→// Produces one Parquet file per cluster: <cleanupDir>/<cluster>/<timestamp>.parquet\n   171→func archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n   172→\tclusterEntries, err := os.ReadDir(checkpointsDir)\n   173→\tif err != nil {\n   174→\t\treturn 0, err\n   175→\t}\n   176→\n   177→\ttotalFiles := 0\n   178→\n   179→\tfor _, clusterEntry := range clusterEntries {\n   180→\t\tif !clusterEntry.IsDir() {\n   181→\t\t\tcontinue\n   182→\t\t}\n   183→\n   184→\t\tcluster := clusterEntry.Name()\n   185→\t\thostEntries, err := os.ReadDir(filepath.Join(checkpointsDir, cluster))\n   186→\t\tif err != nil {\n   187→\t\t\treturn totalFiles, err\n   188→\t\t}\n   189→\n   190→\t\t// Collect rows from all hosts in this cluster using worker pool\n   191→\t\ttype hostResult struct {\n   192→\t\t\trows  []ParquetMetricRow\n   193→\t\t\tfiles []string // checkpoint filenames to delete after successful write\n   194→\t\t\tdir   string   // checkpoint directory for this host\n   195→\t\t}\n   196→\n   197→\t\tresults := make(chan hostResult, len(hostEntries))\n   198→\t\twork := make(chan struct {\n   199→\t\t\tdir, host string\n   200→\t\t}, Keys.NumWorkers)\n   201→\n   202→\t\tvar wg sync.WaitGroup\n   203→\t\terrs := int32(0)\n   204→\n   205→\t\twg.Add(Keys.NumWorkers)\n   206→\t\tfor w := 0; w < Keys.NumWorkers; w++ {\n   207→\t\t\tgo func() {\n   208→\t\t\t\tdefer wg.Done()\n   209→\t\t\t\tfor item := range work {\n   210→\t\t\t\t\trows, files, err := archiveCheckpointsToParquet(item.dir, cluster, item.host, from)\n   211→\t\t\t\t\tif err != nil {\n   212→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())\n   213→\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   214→\t\t\t\t\t\tcontinue\n   215→\t\t\t\t\t}\n   216→\t\t\t\t\tif len(rows) > 0 {\n   217→\t\t\t\t\t\tresults <- hostResult{rows: rows, files: files, dir: item.dir}\n   218→\t\t\t\t\t}\n   219→\t\t\t\t}\n   220→\t\t\t}()\n   221→\t\t}\n   222→\n   223→\t\tgo func() {\n   224→\t\t\tfor _, hostEntry := range hostEntries {\n   225→\t\t\t\tif !hostEntry.IsDir() {\n   226→\t\t\t\t\tcontinue\n   227→\t\t\t\t}\n   228→\t\t\t\tdir := filepath.Join(checkpointsDir, cluster, hostEntry.Name())\n   229→\t\t\t\twork <- struct {\n   230→\t\t\t\t\tdir, host string\n   231→\t\t\t\t}{dir: dir, host: hostEntry.Name()}\n   232→\t\t\t}\n   233→\t\t\tclose(work)\n   234→\t\t\twg.Wait()\n   235→\t\t\tclose(results)\n   236→\t\t}()\n   237→\n   238→\t\t// Collect all rows and file info\n   239→\t\tvar allRows []ParquetMetricRow\n   240→\t\tvar allResults []hostResult\n   241→\t\tfor r := range results {\n   242→\t\t\tallRows = append(allRows, r.rows...)\n   243→\t\t\tallResults = append(allResults, r)\n   244→\t\t}\n   245→\n   246→\t\tif errs > 0 {\n   247→\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n   248→\t\t}\n   249→\n   250→\t\tif len(allRows) == 0 {\n   251→\t\t\tcontinue\n   252→\t\t}\n   253→\n   254→\t\t// Write one Parquet file per cluster\n   255→\t\tparquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))\n   256→\t\tif err := writeParquetArchive(parquetFile, allRows); err != nil {\n   257→\t\t\treturn totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, err)\n   258→\t\t}\n   259→\n   260→\t\t// Delete archived checkpoint files\n   261→\t\tfor _, result := range allResults {\n   262→\t\t\tfor _, file := range result.files {\n   263→\t\t\t\tfilename := filepath.Join(result.dir, file)\n   264→\t\t\t\tif err := os.Remove(filename); err != nil {\n   265→\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n   266→\t\t\t\t} else {\n   267→\t\t\t\t\ttotalFiles++\n   268→\t\t\t\t}\n   269→\t\t\t}\n   270→\t\t}\n   271→\n   272→\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n   273→\t\t\tlen(allRows), totalFiles, cluster, parquetFile)\n   274→\t}\n   275→\n   276→\treturn totalFiles, nil\n   277→}\n   278→"}]},"uuid":"5c641ce2-75b5-4d5f-8b5c-fd0a8d05eefe","timestamp":"2026-03-17T18:14:10.792Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/archive.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"sync\"\n\t\"sync/atomic\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n)\n\n// Worker for either Archiving or Deleting files\n\nfunc CleanUp(wg *sync.WaitGroup, ctx context.Context) {\n\tif Keys.Cleanup.Mode == \"archive\" {\n\t\t// Run as Archiver\n\t\tcleanUpWorker(wg, ctx,\n\t\t\tKeys.RetentionInMemory,\n\t\t\t\"archiving\",\n\t\t\tKeys.Cleanup.RootDir,\n\t\t\tfalse,\n\t\t)\n\t} else {\n\t\t// Run as Deleter\n\t\tcleanUpWorker(wg, ctx,\n\t\t\tKeys.RetentionInMemory,\n\t\t\t\"deleting\",\n\t\t\t\"\",\n\t\t\ttrue,\n\t\t)\n\t}\n}\n\n// cleanUpWorker takes simple values to configure what it does\nfunc cleanUpWorker(wg *sync.WaitGroup, ctx context.Context, interval string, mode string, cleanupDir string, delete bool) {\n\twg.Go(func() {\n\n\t\td, err := time.ParseDuration(interval)\n\t\tif err != nil {\n\t\t\tcclog.Fatalf(\"[METRICSTORE]> error parsing %s interval duration: %v\\n\", mode, err)\n\t\t}\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(d)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tt := time.Now().Add(-d)\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start %s checkpoints (older than %s)...\", mode, t.Format(time.RFC3339))\n\n\t\t\t\tn, err := CleanupCheckpoints(Keys.Checkpoints.RootDir, cleanupDir, t.Unix(), delete)\n\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> %s failed: %s\", mode, err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tif delete {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoints deleted\", n)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files archived to parquet\", n)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\nvar ErrNoNewArchiveData error = errors.New(\"all data already archived\")\n\n// CleanupCheckpoints deletes or archives all checkpoint files older than `from`.\n// When archiving, consolidates all hosts per cluster into a single Parquet file.\nfunc CleanupCheckpoints(checkpointsDir, cleanupDir string, from int64, deleteInstead bool) (int, error) {\n\tif deleteInstead {\n\t\treturn deleteCheckpoints(checkpointsDir, from)\n\t}\n\n\treturn archiveCheckpoints(checkpointsDir, cleanupDir, from)\n}\n\n// deleteCheckpoints removes checkpoint files older than `from` across all clusters/hosts.\nfunc deleteCheckpoints(checkpointsDir string, from int64) (int, error) {\n\tentries1, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttype workItem struct {\n\t\tdir            string\n\t\tcluster, host  string\n\t}\n\n\tvar wg sync.WaitGroup\n\tn, errs := int32(0), int32(0)\n\twork := make(chan workItem, Keys.NumWorkers)\n\n\twg.Add(Keys.NumWorkers)\n\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor item := range work {\n\t\t\t\tentries, err := os.ReadDir(item.dir)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"error reading %s/%s: %s\", item.cluster, item.host, err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tfiles, err := findFiles(entries, from, false)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"error finding files in %s/%s: %s\", item.cluster, item.host, err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tfor _, checkpoint := range files {\n\t\t\t\t\tif err := os.Remove(filepath.Join(item.dir, checkpoint)); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"error deleting %s/%s/%s: %s\", item.cluster, item.host, checkpoint, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor _, de1 := range entries1 {\n\t\tentries2, e := os.ReadDir(filepath.Join(checkpointsDir, de1.Name()))\n\t\tif e != nil {\n\t\t\terr = e\n\t\t\tcontinue\n\t\t}\n\n\t\tfor _, de2 := range entries2 {\n\t\t\twork <- workItem{\n\t\t\t\tdir:     filepath.Join(checkpointsDir, de1.Name(), de2.Name()),\n\t\t\t\tcluster: de1.Name(),\n\t\t\t\thost:    de2.Name(),\n\t\t\t}\n\t\t}\n\t}\n\n\tclose(work)\n\twg.Wait()\n\n\tif err != nil {\n\t\treturn int(n), err\n\t}\n\tif errs > 0 {\n\t\treturn int(n), fmt.Errorf(\"%d errors happened while deleting (%d successes)\", errs, n)\n\t}\n\treturn int(n), nil\n}\n\n// archiveCheckpoints archives checkpoint files to Parquet format.\n// Produces one Parquet file per cluster: <cleanupDir>/<cluster>/<timestamp>.parquet\nfunc archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n\tclusterEntries, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttotalFiles := 0\n\n\tfor _, clusterEntry := range clusterEntries {\n\t\tif !clusterEntry.IsDir() {\n\t\t\tcontinue\n\t\t}\n\n\t\tcluster := clusterEntry.Name()\n\t\thostEntries, err := os.ReadDir(filepath.Join(checkpointsDir, cluster))\n\t\tif err != nil {\n\t\t\treturn totalFiles, err\n\t\t}\n\n\t\t// Collect rows from all hosts in this cluster using worker pool\n\t\ttype hostResult struct {\n\t\t\trows  []ParquetMetricRow\n\t\t\tfiles []string // checkpoint filenames to delete after successful write\n\t\t\tdir   string   // checkpoint directory for this host\n\t\t}\n\n\t\tresults := make(chan hostResult, len(hostEntries))\n\t\twork := make(chan struct {\n\t\t\tdir, host string\n\t\t}, Keys.NumWorkers)\n\n\t\tvar wg sync.WaitGroup\n\t\terrs := int32(0)\n\n\t\twg.Add(Keys.NumWorkers)\n\t\tfor w := 0; w < Keys.NumWorkers; w++ {\n\t\t\tgo func() {\n\t\t\t\tdefer wg.Done()\n\t\t\t\tfor item := range work {\n\t\t\t\t\trows, files, err := archiveCheckpointsToParquet(item.dir, cluster, item.host, from)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tif len(rows) > 0 {\n\t\t\t\t\t\tresults <- hostResult{rows: rows, files: files, dir: item.dir}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\t\t}\n\n\t\tgo func() {\n\t\t\tfor _, hostEntry := range hostEntries {\n\t\t\t\tif !hostEntry.IsDir() {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tdir := filepath.Join(checkpointsDir, cluster, hostEntry.Name())\n\t\t\t\twork <- struct {\n\t\t\t\t\tdir, host string\n\t\t\t\t}{dir: dir, host: hostEntry.Name()}\n\t\t\t}\n\t\t\tclose(work)\n\t\t\twg.Wait()\n\t\t\tclose(results)\n\t\t}()\n\n\t\t// Collect all rows and file info\n\t\tvar allRows []ParquetMetricRow\n\t\tvar allResults []hostResult\n\t\tfor r := range results {\n\t\t\tallRows = append(allRows, r.rows...)\n\t\t\tallResults = append(allResults, r)\n\t\t}\n\n\t\tif errs > 0 {\n\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n\t\t}\n\n\t\tif len(allRows) == 0 {\n\t\t\tcontinue\n\t\t}\n\n\t\t// Write one Parquet file per cluster\n\t\tparquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))\n\t\tif err := writeParquetArchive(parquetFile, allRows); err != nil {\n\t\t\treturn totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, err)\n\t\t}\n\n\t\t// Delete archived checkpoint files\n\t\tfor _, result := range allResults {\n\t\t\tfor _, file := range result.files {\n\t\t\t\tfilename := filepath.Join(result.dir, file)\n\t\t\t\tif err := os.Remove(filename); err != nil {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n\t\t\t\t} else {\n\t\t\t\t\ttotalFiles++\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n\t\t\tlen(allRows), totalFiles, cluster, parquetFile)\n\t}\n\n\treturn totalFiles, nil\n}\n","numLines":278,"startLine":1,"totalLines":278}},"sourceToolAssistantUUID":"4704a1bc-5253-41ee-b057-59f5c34430a8","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"530dbdcc-8f1e-4870-a1c5-88215ce6a729","isSidechain":false,"promptId":"9e69bd94-834f-43c2-9173-add782b0f1d4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AdHt5nZpLoZxxyDJ4BAorq","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package metricstore\n     7→\n     8→import (\n     9→\t\"encoding/json\"\n    10→\t\"os\"\n    11→\t\"path/filepath\"\n    12→\t\"testing\"\n    13→\n    14→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    15→\tpq \"github.com/parquet-go/parquet-go\"\n    16→)\n    17→\n    18→func TestParseScopeFromName(t *testing.T) {\n    19→\ttests := []struct {\n    20→\t\tname      string\n    21→\t\twantScope string\n    22→\t\twantID    string\n    23→\t}{\n    24→\t\t{\"socket0\", \"socket\", \"0\"},\n    25→\t\t{\"socket12\", \"socket\", \"12\"},\n    26→\t\t{\"core0\", \"core\", \"0\"},\n    27→\t\t{\"core127\", \"core\", \"127\"},\n    28→\t\t{\"cpu0\", \"hwthread\", \"0\"},\n    29→\t\t{\"hwthread5\", \"hwthread\", \"5\"},\n    30→\t\t{\"memoryDomain0\", \"memoryDomain\", \"0\"},\n    31→\t\t{\"accelerator0\", \"accelerator\", \"0\"},\n    32→\t\t{\"unknown\", \"unknown\", \"\"},\n    33→\t\t{\"socketX\", \"socketX\", \"\"}, // not numeric suffix\n    34→\t}\n    35→\n    36→\tfor _, tt := range tests {\n    37→\t\tt.Run(tt.name, func(t *testing.T) {\n    38→\t\t\tscope, id := parseScopeFromName(tt.name)\n    39→\t\t\tif scope != tt.wantScope || id != tt.wantID {\n    40→\t\t\t\tt.Errorf(\"parseScopeFromName(%q) = (%q, %q), want (%q, %q)\",\n    41→\t\t\t\t\ttt.name, scope, id, tt.wantScope, tt.wantID)\n    42→\t\t\t}\n    43→\t\t})\n    44→\t}\n    45→}\n    46→\n    47→func TestFlattenCheckpointFile(t *testing.T) {\n    48→\tcf := &CheckpointFile{\n    49→\t\tFrom: 1000,\n    50→\t\tTo:   1060,\n    51→\t\tMetrics: map[string]*CheckpointMetrics{\n    52→\t\t\t\"cpu_load\": {\n    53→\t\t\t\tFrequency: 60,\n    54→\t\t\t\tStart:     1000,\n    55→\t\t\t\tData:      []schema.Float{0.5, 0.7, schema.NaN},\n    56→\t\t\t},\n    57→\t\t},\n    58→\t\tChildren: map[string]*CheckpointFile{\n    59→\t\t\t\"socket0\": {\n    60→\t\t\t\tMetrics: map[string]*CheckpointMetrics{\n    61→\t\t\t\t\t\"mem_bw\": {\n    62→\t\t\t\t\t\tFrequency: 60,\n    63→\t\t\t\t\t\tStart:     1000,\n    64→\t\t\t\t\t\tData:      []schema.Float{100.0, schema.NaN, 200.0},\n    65→\t\t\t\t\t},\n    66→\t\t\t\t},\n    67→\t\t\t\tChildren: make(map[string]*CheckpointFile),\n    68→\t\t\t},\n    69→\t\t},\n    70→\t}\n    71→\n    72→\trows := flattenCheckpointFile(cf, \"fritz\", \"node001\", \"node\", \"\", nil)\n    73→\n    74→\t// cpu_load: 2 non-NaN values at node scope\n    75→\t// mem_bw: 2 non-NaN values at socket0 scope\n    76→\tif len(rows) != 4 {\n    77→\t\tt.Fatalf(\"expected 4 rows, got %d\", len(rows))\n    78→\t}\n    79→\n    80→\t// Verify a node-scope row\n    81→\tfound := false\n    82→\tfor _, r := range rows {\n    83→\t\tif r.Metric == \"cpu_load\" && r.Timestamp == 1000 {\n    84→\t\t\tfound = true\n    85→\t\t\tif r.Cluster != \"fritz\" || r.Hostname != \"node001\" || r.Scope != \"node\" || r.Value != 0.5 {\n    86→\t\t\t\tt.Errorf(\"unexpected row: %+v\", r)\n    87→\t\t\t}\n    88→\t\t}\n    89→\t}\n    90→\tif !found {\n    91→\t\tt.Error(\"expected cpu_load row at timestamp 1000\")\n    92→\t}\n    93→\n    94→\t// Verify a socket-scope row\n    95→\tfound = false\n    96→\tfor _, r := range rows {\n    97→\t\tif r.Metric == \"mem_bw\" && r.Scope == \"socket\" && r.ScopeID == \"0\" {\n    98→\t\t\tfound = true\n    99→\t\t}\n   100→\t}\n   101→\tif !found {\n   102→\t\tt.Error(\"expected mem_bw row with scope=socket, scope_id=0\")\n   103→\t}\n   104→}\n   105→\n   106→func TestParquetArchiveRoundtrip(t *testing.T) {\n   107→\ttmpDir := t.TempDir()\n   108→\n   109→\t// Create checkpoint files on disk (JSON format)\n   110→\tcpDir := filepath.Join(tmpDir, \"checkpoints\", \"testcluster\", \"node001\")\n   111→\tif err := os.MkdirAll(cpDir, 0o755); err != nil {\n   112→\t\tt.Fatal(err)\n   113→\t}\n   114→\n   115→\tcf := &CheckpointFile{\n   116→\t\tFrom: 1000,\n   117→\t\tTo:   1180,\n   118→\t\tMetrics: map[string]*CheckpointMetrics{\n   119→\t\t\t\"cpu_load\": {\n   120→\t\t\t\tFrequency: 60,\n   121→\t\t\t\tStart:     1000,\n   122→\t\t\t\tData:      []schema.Float{0.5, 0.7, 0.9},\n   123→\t\t\t},\n   124→\t\t\t\"mem_used\": {\n   125→\t\t\t\tFrequency: 60,\n   126→\t\t\t\tStart:     1000,\n   127→\t\t\t\tData:      []schema.Float{45.0, 46.0, 47.0},\n   128→\t\t\t},\n   129→\t\t},\n   130→\t\tChildren: map[string]*CheckpointFile{\n   131→\t\t\t\"socket0\": {\n   132→\t\t\t\tMetrics: map[string]*CheckpointMetrics{\n   133→\t\t\t\t\t\"mem_bw\": {\n   134→\t\t\t\t\t\tFrequency: 60,\n   135→\t\t\t\t\t\tStart:     1000,\n   136→\t\t\t\t\t\tData:      []schema.Float{100.0, 110.0, 120.0},\n   137→\t\t\t\t\t},\n   138→\t\t\t\t},\n   139→\t\t\t\tChildren: make(map[string]*CheckpointFile),\n   140→\t\t\t},\n   141→\t\t},\n   142→\t}\n   143→\n   144→\t// Write JSON checkpoint\n   145→\tcpFile := filepath.Join(cpDir, \"1000.json\")\n   146→\tdata, err := json.Marshal(cf)\n   147→\tif err != nil {\n   148→\t\tt.Fatal(err)\n   149→\t}\n   150→\tif err := os.WriteFile(cpFile, data, 0o644); err != nil {\n   151→\t\tt.Fatal(err)\n   152→\t}\n   153→\n   154→\t// Archive to Parquet\n   155→\tarchiveDir := filepath.Join(tmpDir, \"archive\")\n   156→\trows, files, err := archiveCheckpointsToParquet(cpDir, \"testcluster\", \"node001\", 2000)\n   157→\tif err != nil {\n   158→\t\tt.Fatal(err)\n   159→\t}\n   160→\tif len(files) != 1 || files[0] != \"1000.json\" {\n   161→\t\tt.Fatalf(\"expected 1 file, got %v\", files)\n   162→\t}\n   163→\n   164→\tparquetFile := filepath.Join(archiveDir, \"testcluster\", \"1000.parquet\")\n   165→\tif err := writeParquetArchive(parquetFile, rows); err != nil {\n   166→\t\tt.Fatal(err)\n   167→\t}\n   168→\n   169→\t// Read back and verify\n   170→\tf, err := os.Open(parquetFile)\n   171→\tif err != nil {\n   172→\t\tt.Fatal(err)\n   173→\t}\n   174→\tdefer f.Close()\n   175→\n   176→\tstat, _ := f.Stat()\n   177→\tpf, err := pq.OpenFile(f, stat.Size())\n   178→\tif err != nil {\n   179→\t\tt.Fatal(err)\n   180→\t}\n   181→\n   182→\treader := pq.NewGenericReader[ParquetMetricRow](pf)\n   183→\treadRows := make([]ParquetMetricRow, 100)\n   184→\tn, err := reader.Read(readRows)\n   185→\tif err != nil && n == 0 {\n   186→\t\tt.Fatal(err)\n   187→\t}\n   188→\treadRows = readRows[:n]\n   189→\treader.Close()\n   190→\n   191→\t// We expect: cpu_load(3) + mem_used(3) + mem_bw(3) = 9 rows\n   192→\tif n != 9 {\n   193→\t\tt.Fatalf(\"expected 9 rows in parquet file, got %d\", n)\n   194→\t}\n   195→\n   196→\t// Verify cluster and hostname are set correctly\n   197→\tfor _, r := range readRows {\n   198→\t\tif r.Cluster != \"testcluster\" {\n   199→\t\t\tt.Errorf(\"expected cluster=testcluster, got %s\", r.Cluster)\n   200→\t\t}\n   201→\t\tif r.Hostname != \"node001\" {\n   202→\t\t\tt.Errorf(\"expected hostname=node001, got %s\", r.Hostname)\n   203→\t\t}\n   204→\t}\n   205→\n   206→\t// Verify parquet file is smaller than JSON (compression working)\n   207→\tif stat.Size() == 0 {\n   208→\t\tt.Error(\"parquet file is empty\")\n   209→\t}\n   210→\n   211→\tt.Logf(\"Parquet file size: %d bytes for %d rows\", stat.Size(), n)\n   212→}\n   213→\n   214→func TestLoadCheckpointFileFromDisk_JSON(t *testing.T) {\n   215→\ttmpDir := t.TempDir()\n   216→\n   217→\tcf := &CheckpointFile{\n   218→\t\tFrom: 1000,\n   219→\t\tTo:   1060,\n   220→\t\tMetrics: map[string]*CheckpointMetrics{\n   221→\t\t\t\"test_metric\": {\n   222→\t\t\t\tFrequency: 60,\n   223→\t\t\t\tStart:     1000,\n   224→\t\t\t\tData:      []schema.Float{1.0, 2.0, 3.0},\n   225→\t\t\t},\n   226→\t\t},\n   227→\t\tChildren: make(map[string]*CheckpointFile),\n   228→\t}\n   229→\n   230→\tfilename := filepath.Join(tmpDir, \"1000.json\")\n   231→\tdata, err := json.Marshal(cf)\n   232→\tif err != nil {\n   233→\t\tt.Fatal(err)\n   234→\t}\n   235→\tif err := os.WriteFile(filename, data, 0o644); err != nil {\n   236→\t\tt.Fatal(err)\n   237→\t}\n   238→\n   239→\tloaded, err := loadCheckpointFileFromDisk(filename)\n   240→\tif err != nil {\n   241→\t\tt.Fatal(err)\n   242→\t}\n   243→\n   244→\tif loaded.From != 1000 || loaded.To != 1060 {\n   245→\t\tt.Errorf(\"expected From=1000, To=1060, got From=%d, To=%d\", loaded.From, loaded.To)\n   246→\t}\n   247→\n   248→\tm, ok := loaded.Metrics[\"test_metric\"]\n   249→\tif !ok {\n   250→\t\tt.Fatal(\"expected test_metric in loaded checkpoint\")\n   251→\t}\n   252→\tif m.Frequency != 60 || m.Start != 1000 || len(m.Data) != 3 {\n   253→\t\tt.Errorf(\"unexpected metric data: %+v\", m)\n   254→\t}\n   255→}\n   256→"}]},"uuid":"4a0aef1c-e87c-4f66-9d2e-f9bec302737c","timestamp":"2026-03-17T18:14:11.268Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive_test.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"encoding/json\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"testing\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\nfunc TestParseScopeFromName(t *testing.T) {\n\ttests := []struct {\n\t\tname      string\n\t\twantScope string\n\t\twantID    string\n\t}{\n\t\t{\"socket0\", \"socket\", \"0\"},\n\t\t{\"socket12\", \"socket\", \"12\"},\n\t\t{\"core0\", \"core\", \"0\"},\n\t\t{\"core127\", \"core\", \"127\"},\n\t\t{\"cpu0\", \"hwthread\", \"0\"},\n\t\t{\"hwthread5\", \"hwthread\", \"5\"},\n\t\t{\"memoryDomain0\", \"memoryDomain\", \"0\"},\n\t\t{\"accelerator0\", \"accelerator\", \"0\"},\n\t\t{\"unknown\", \"unknown\", \"\"},\n\t\t{\"socketX\", \"socketX\", \"\"}, // not numeric suffix\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(tt.name, func(t *testing.T) {\n\t\t\tscope, id := parseScopeFromName(tt.name)\n\t\t\tif scope != tt.wantScope || id != tt.wantID {\n\t\t\t\tt.Errorf(\"parseScopeFromName(%q) = (%q, %q), want (%q, %q)\",\n\t\t\t\t\ttt.name, scope, id, tt.wantScope, tt.wantID)\n\t\t\t}\n\t\t})\n\t}\n}\n\nfunc TestFlattenCheckpointFile(t *testing.T) {\n\tcf := &CheckpointFile{\n\t\tFrom: 1000,\n\t\tTo:   1060,\n\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\"cpu_load\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart:     1000,\n\t\t\t\tData:      []schema.Float{0.5, 0.7, schema.NaN},\n\t\t\t},\n\t\t},\n\t\tChildren: map[string]*CheckpointFile{\n\t\t\t\"socket0\": {\n\t\t\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\t\t\"mem_bw\": {\n\t\t\t\t\t\tFrequency: 60,\n\t\t\t\t\t\tStart:     1000,\n\t\t\t\t\t\tData:      []schema.Float{100.0, schema.NaN, 200.0},\n\t\t\t\t\t},\n\t\t\t\t},\n\t\t\t\tChildren: make(map[string]*CheckpointFile),\n\t\t\t},\n\t\t},\n\t}\n\n\trows := flattenCheckpointFile(cf, \"fritz\", \"node001\", \"node\", \"\", nil)\n\n\t// cpu_load: 2 non-NaN values at node scope\n\t// mem_bw: 2 non-NaN values at socket0 scope\n\tif len(rows) != 4 {\n\t\tt.Fatalf(\"expected 4 rows, got %d\", len(rows))\n\t}\n\n\t// Verify a node-scope row\n\tfound := false\n\tfor _, r := range rows {\n\t\tif r.Metric == \"cpu_load\" && r.Timestamp == 1000 {\n\t\t\tfound = true\n\t\t\tif r.Cluster != \"fritz\" || r.Hostname != \"node001\" || r.Scope != \"node\" || r.Value != 0.5 {\n\t\t\t\tt.Errorf(\"unexpected row: %+v\", r)\n\t\t\t}\n\t\t}\n\t}\n\tif !found {\n\t\tt.Error(\"expected cpu_load row at timestamp 1000\")\n\t}\n\n\t// Verify a socket-scope row\n\tfound = false\n\tfor _, r := range rows {\n\t\tif r.Metric == \"mem_bw\" && r.Scope == \"socket\" && r.ScopeID == \"0\" {\n\t\t\tfound = true\n\t\t}\n\t}\n\tif !found {\n\t\tt.Error(\"expected mem_bw row with scope=socket, scope_id=0\")\n\t}\n}\n\nfunc TestParquetArchiveRoundtrip(t *testing.T) {\n\ttmpDir := t.TempDir()\n\n\t// Create checkpoint files on disk (JSON format)\n\tcpDir := filepath.Join(tmpDir, \"checkpoints\", \"testcluster\", \"node001\")\n\tif err := os.MkdirAll(cpDir, 0o755); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tcf := &CheckpointFile{\n\t\tFrom: 1000,\n\t\tTo:   1180,\n\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\"cpu_load\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart:     1000,\n\t\t\t\tData:      []schema.Float{0.5, 0.7, 0.9},\n\t\t\t},\n\t\t\t\"mem_used\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart:     1000,\n\t\t\t\tData:      []schema.Float{45.0, 46.0, 47.0},\n\t\t\t},\n\t\t},\n\t\tChildren: map[string]*CheckpointFile{\n\t\t\t\"socket0\": {\n\t\t\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\t\t\"mem_bw\": {\n\t\t\t\t\t\tFrequency: 60,\n\t\t\t\t\t\tStart:     1000,\n\t\t\t\t\t\tData:      []schema.Float{100.0, 110.0, 120.0},\n\t\t\t\t\t},\n\t\t\t\t},\n\t\t\t\tChildren: make(map[string]*CheckpointFile),\n\t\t\t},\n\t\t},\n\t}\n\n\t// Write JSON checkpoint\n\tcpFile := filepath.Join(cpDir, \"1000.json\")\n\tdata, err := json.Marshal(cf)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif err := os.WriteFile(cpFile, data, 0o644); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\t// Archive to Parquet\n\tarchiveDir := filepath.Join(tmpDir, \"archive\")\n\trows, files, err := archiveCheckpointsToParquet(cpDir, \"testcluster\", \"node001\", 2000)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif len(files) != 1 || files[0] != \"1000.json\" {\n\t\tt.Fatalf(\"expected 1 file, got %v\", files)\n\t}\n\n\tparquetFile := filepath.Join(archiveDir, \"testcluster\", \"1000.parquet\")\n\tif err := writeParquetArchive(parquetFile, rows); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\t// Read back and verify\n\tf, err := os.Open(parquetFile)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tdefer f.Close()\n\n\tstat, _ := f.Stat()\n\tpf, err := pq.OpenFile(f, stat.Size())\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\treader := pq.NewGenericReader[ParquetMetricRow](pf)\n\treadRows := make([]ParquetMetricRow, 100)\n\tn, err := reader.Read(readRows)\n\tif err != nil && n == 0 {\n\t\tt.Fatal(err)\n\t}\n\treadRows = readRows[:n]\n\treader.Close()\n\n\t// We expect: cpu_load(3) + mem_used(3) + mem_bw(3) = 9 rows\n\tif n != 9 {\n\t\tt.Fatalf(\"expected 9 rows in parquet file, got %d\", n)\n\t}\n\n\t// Verify cluster and hostname are set correctly\n\tfor _, r := range readRows {\n\t\tif r.Cluster != \"testcluster\" {\n\t\t\tt.Errorf(\"expected cluster=testcluster, got %s\", r.Cluster)\n\t\t}\n\t\tif r.Hostname != \"node001\" {\n\t\t\tt.Errorf(\"expected hostname=node001, got %s\", r.Hostname)\n\t\t}\n\t}\n\n\t// Verify parquet file is smaller than JSON (compression working)\n\tif stat.Size() == 0 {\n\t\tt.Error(\"parquet file is empty\")\n\t}\n\n\tt.Logf(\"Parquet file size: %d bytes for %d rows\", stat.Size(), n)\n}\n\nfunc TestLoadCheckpointFileFromDisk_JSON(t *testing.T) {\n\ttmpDir := t.TempDir()\n\n\tcf := &CheckpointFile{\n\t\tFrom: 1000,\n\t\tTo:   1060,\n\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\"test_metric\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart:     1000,\n\t\t\t\tData:      []schema.Float{1.0, 2.0, 3.0},\n\t\t\t},\n\t\t},\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tfilename := filepath.Join(tmpDir, \"1000.json\")\n\tdata, err := json.Marshal(cf)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif err := os.WriteFile(filename, data, 0o644); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tloaded, err := loadCheckpointFileFromDisk(filename)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tif loaded.From != 1000 || loaded.To != 1060 {\n\t\tt.Errorf(\"expected From=1000, To=1060, got From=%d, To=%d\", loaded.From, loaded.To)\n\t}\n\n\tm, ok := loaded.Metrics[\"test_metric\"]\n\tif !ok {\n\t\tt.Fatal(\"expected test_metric in loaded checkpoint\")\n\t}\n\tif m.Frequency != 60 || m.Start != 1000 || len(m.Data) != 3 {\n\t\tt.Errorf(\"unexpected metric data: %+v\", m)\n\t}\n}\n","numLines":256,"startLine":1,"totalLines":256}},"sourceToolAssistantUUID":"530dbdcc-8f1e-4870-a1c5-88215ce6a729","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"c275b193-e533-456b-9230-e0ee1ea0fa1c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01RMdmF6xH1mm2DpsrqgJrgu","type":"message","role":"assistant","content":[{"type":"text","text":"Now I have a clear picture. Let me implement the changes.\n\n**Step 1: Update `parquetArchive.go`** - Add streaming writer, remove old `writeParquetArchive`"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":10208,"cache_read_input_tokens":18796,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":10208},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ97AGSxvMsprpByJkyy2","type":"assistant","uuid":"98760d2a-e3cc-42e4-8777-b0c8be9375ea","timestamp":"2026-03-17T18:14:18.228Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"type":"file-history-snapshot","messageId":"66271b96-1bbf-4446-bc30-dc4fe8513046","snapshot":{"messageId":"b533e922-ca3a-46ea-b62d-b0ee4ca0d906","trackedFileBackups":{"pkg/metricstore/parquetArchive.go":{"backupFileName":"d23fbf0a668003f6@v1","version":1,"backupTime":"2026-03-17T18:14:21.260Z"}},"timestamp":"2026-03-17T18:14:06.692Z"},"isSnapshotUpdate":true}
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+{"parentUuid":"66271b96-1bbf-4446-bc30-dc4fe8513046","isSidechain":false,"promptId":"9e69bd94-834f-43c2-9173-add782b0f1d4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KEEBSH5oTDBJaFVzJj24Fp","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive.go has been updated successfully."}]},"uuid":"8ea10542-c017-448f-9afb-91498f3807c8","timestamp":"2026-03-17T18:14:21.265Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive.go","oldString":"import (\n\t\"bufio\"\n\t\"encoding/binary\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)","newString":"import (\n\t\"bufio\"\n\t\"encoding/binary\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"sort\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"encoding/binary\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\n// ParquetMetricRow is the long-format schema for archived metric data.\n// One row per (host, metric, scope, scope_id, timestamp) data point.\n// Sorted by (cluster, hostname, metric, timestamp) for optimal compression.\ntype ParquetMetricRow struct {\n\tCluster   string  `parquet:\"cluster\"`\n\tHostname  string  `parquet:\"hostname\"`\n\tMetric    string  `parquet:\"metric\"`\n\tScope     string  `parquet:\"scope\"`\n\tScopeID   string  `parquet:\"scope_id\"`\n\tTimestamp int64   `parquet:\"timestamp\"`\n\tFrequency int64   `parquet:\"frequency\"`\n\tValue     float32 `parquet:\"value\"`\n}\n\n// flattenCheckpointFile recursively converts a CheckpointFile tree into Parquet rows.\n// The scope path is built from the hierarchy: host level is \"node\", then child names\n// map to scope/scope_id (e.g., \"socket0\" → scope=\"socket\", scope_id=\"0\").\nfunc flattenCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string, rows []ParquetMetricRow) []ParquetMetricRow {\n\tfor metricName, cm := range cf.Metrics {\n\t\tts := cm.Start\n\t\tfor _, v := range cm.Data {\n\t\t\tif !v.IsNaN() {\n\t\t\t\trows = append(rows, ParquetMetricRow{\n\t\t\t\t\tCluster:   cluster,\n\t\t\t\t\tHostname:  hostname,\n\t\t\t\t\tMetric:    metricName,\n\t\t\t\t\tScope:     scope,\n\t\t\t\t\tScopeID:   scopeID,\n\t\t\t\t\tTimestamp: ts,\n\t\t\t\t\tFrequency: cm.Frequency,\n\t\t\t\t\tValue:     float32(v),\n\t\t\t\t})\n\t\t\t}\n\t\t\tts += cm.Frequency\n\t\t}\n\t}\n\n\tfor childName, childCf := range cf.Children {\n\t\tchildScope, childScopeID := parseScopeFromName(childName)\n\t\trows = flattenCheckpointFile(childCf, cluster, hostname, childScope, childScopeID, rows)\n\t}\n\n\treturn rows\n}\n\n// parseScopeFromName infers scope and scope_id from a child level name.\n// Examples: \"socket0\" → (\"socket\", \"0\"), \"core12\" → (\"core\", \"12\"),\n// \"a0\" (accelerator) → (\"accelerator\", \"0\").\n// If the name doesn't match known patterns, it's used as-is for scope with empty scope_id.\nfunc parseScopeFromName(name string) (string, string) {\n\tprefixes := []struct {\n\t\tprefix string\n\t\tscope  string\n\t}{\n\t\t{\"socket\", \"socket\"},\n\t\t{\"memoryDomain\", \"memoryDomain\"},\n\t\t{\"core\", \"core\"},\n\t\t{\"hwthread\", \"hwthread\"},\n\t\t{\"cpu\", \"hwthread\"},\n\t\t{\"accelerator\", \"accelerator\"},\n\t}\n\n\tfor _, p := range prefixes {\n\t\tif len(name) > len(p.prefix) && name[:len(p.prefix)] == p.prefix {\n\t\t\tid := name[len(p.prefix):]\n\t\t\tif len(id) > 0 && id[0] >= '0' && id[0] <= '9' {\n\t\t\t\treturn p.scope, id\n\t\t\t}\n\t\t}\n\t}\n\n\treturn name, \"\"\n}\n\n// writeParquetArchive writes rows to a Parquet file with Zstd compression.\nfunc writeParquetArchive(filename string, rows []ParquetMetricRow) error {\n\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"creating archive directory: %w\", err)\n\t}\n\n\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"creating parquet file: %w\", err)\n\t}\n\tdefer f.Close()\n\n\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n\n\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n\t\tpq.Compression(&pq.Zstd),\n\t\tpq.SortingWriterConfig(pq.SortingColumns(\n\t\t\tpq.Ascending(\"cluster\"),\n\t\t\tpq.Ascending(\"hostname\"),\n\t\t\tpq.Ascending(\"metric\"),\n\t\t\tpq.Ascending(\"timestamp\"),\n\t\t)),\n\t)\n\n\tif _, err := writer.Write(rows); err != nil {\n\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n\t}\n\n\tif err := writer.Close(); err != nil {\n\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n\t}\n\n\tif err := bw.Flush(); err != nil {\n\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n\t}\n\n\treturn nil\n}\n\n// loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns\n// a CheckpointFile. Used by the Parquet archiver to read checkpoint data\n// before converting it to Parquet format.\nfunc loadCheckpointFileFromDisk(filename string) (*CheckpointFile, error) {\n\tf, err := os.Open(filename)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer f.Close()\n\n\text := filepath.Ext(filename)\n\tswitch ext {\n\tcase \".json\":\n\t\tcf := &CheckpointFile{}\n\t\tbr := bufio.NewReader(f)\n\t\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"decoding JSON checkpoint %s: %w\", filename, err)\n\t\t}\n\t\treturn cf, nil\n\n\tcase \".bin\":\n\t\tbr := bufio.NewReader(f)\n\t\tvar magic uint32\n\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading magic from %s: %w\", filename, err)\n\t\t}\n\t\tif magic != snapFileMagic {\n\t\t\treturn nil, fmt.Errorf(\"invalid snapshot magic in %s: 0x%08X\", filename, magic)\n\t\t}\n\t\tvar fileFrom, fileTo int64\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading from-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading to-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tcf, err := readBinaryLevel(br)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading binary level from %s: %w\", filename, err)\n\t\t}\n\t\tcf.From = fileFrom\n\t\tcf.To = fileTo\n\t\treturn cf, nil\n\n\tdefault:\n\t\treturn nil, fmt.Errorf(\"unsupported checkpoint extension: %s\", ext)\n\t}\n}\n\n// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n// converts them to Parquet rows. Returns the rows and filenames that were processed.\nfunc archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n\tentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tfiles, err := findFiles(entries, from, false)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tif len(files) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\tvar rows []ParquetMetricRow\n\n\tfor _, checkpoint := range files {\n\t\tfilename := filepath.Join(dir, checkpoint)\n\t\tcf, err := loadCheckpointFileFromDisk(filename)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n\t\t\tcontinue\n\t\t}\n\n\t\trows = flattenCheckpointFile(cf, cluster, host, \"node\", \"\", rows)\n\t}\n\n\treturn rows, files, nil\n}\n","structuredPatch":[{"oldStart":12,"oldLines":6,"newStart":12,"newLines":7,"lines":["   \"fmt\"","   \"os\"","   \"path/filepath\"","+  \"sort\""," ","   cclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"","   pq \"github.com/parquet-go/parquet-go\""]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"66271b96-1bbf-4446-bc30-dc4fe8513046","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
+{"parentUuid":"8ea10542-c017-448f-9afb-91498f3807c8","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01DPuC6qZGeRor7sj16J9WjX","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LEFj1LSgwARFjJfDqJypBn","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive.go","old_string":"// writeParquetArchive writes rows to a Parquet file with Zstd compression.\nfunc writeParquetArchive(filename string, rows []ParquetMetricRow) error {\n\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"creating archive directory: %w\", err)\n\t}\n\n\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"creating parquet file: %w\", err)\n\t}\n\tdefer f.Close()\n\n\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n\n\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n\t\tpq.Compression(&pq.Zstd),\n\t\tpq.SortingWriterConfig(pq.SortingColumns(\n\t\t\tpq.Ascending(\"cluster\"),\n\t\t\tpq.Ascending(\"hostname\"),\n\t\t\tpq.Ascending(\"metric\"),\n\t\t\tpq.Ascending(\"timestamp\"),\n\t\t)),\n\t)\n\n\tif _, err := writer.Write(rows); err != nil {\n\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n\t}\n\n\tif err := writer.Close(); err != nil {\n\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n\t}\n\n\tif err := bw.Flush(); err != nil {\n\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n\t}\n\n\treturn nil\n}","new_string":"// parquetArchiveWriter supports incremental writes to a Parquet file.\n// Each call to WriteHostRows writes one row group (typically one host's data),\n// avoiding accumulation of all rows in memory.\ntype parquetArchiveWriter struct {\n\twriter *pq.GenericWriter[ParquetMetricRow]\n\tbw     *bufio.Writer\n\tf      *os.File\n\tcount  int\n}\n\n// newParquetArchiveWriter creates a streaming Parquet writer with Zstd compression.\nfunc newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error) {\n\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n\t\treturn nil, fmt.Errorf(\"creating archive directory: %w\", err)\n\t}\n\n\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn nil, fmt.Errorf(\"creating parquet file: %w\", err)\n\t}\n\n\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n\n\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n\t\tpq.Compression(&pq.Zstd),\n\t)\n\n\treturn &parquetArchiveWriter{writer: writer, bw: bw, f: f}, nil\n}\n\n// WriteHostRows sorts rows by (metric, timestamp) in-place, writes them,\n// and flushes to create a separate row group.\nfunc (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error {\n\tsort.Slice(rows, func(i, j int) bool {\n\t\tif rows[i].Metric != rows[j].Metric {\n\t\t\treturn rows[i].Metric < rows[j].Metric\n\t\t}\n\t\treturn rows[i].Timestamp < rows[j].Timestamp\n\t})\n\n\tif _, err := w.writer.Write(rows); err != nil {\n\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n\t}\n\n\tif err := w.writer.Flush(); err != nil {\n\t\treturn fmt.Errorf(\"flushing parquet row group: %w\", err)\n\t}\n\n\tw.count += len(rows)\n\treturn nil\n}\n\n// Close finalises the Parquet file (footer, buffered I/O, file handle).\nfunc (w *parquetArchiveWriter) Close() error {\n\tif err := w.writer.Close(); err != nil {\n\t\tw.f.Close()\n\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n\t}\n\n\tif err := w.bw.Flush(); err != nil {\n\t\tw.f.Close()\n\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n\t}\n\n\treturn w.f.Close()\n}\n\n// sortParquetRows sorts rows by (metric, timestamp) in-place.\nfunc sortParquetRows(rows []ParquetMetricRow) {\n\tsort.Slice(rows, func(i, j int) bool {\n\t\tif rows[i].Metric != rows[j].Metric {\n\t\t\treturn rows[i].Metric < rows[j].Metric\n\t\t}\n\t\treturn rows[i].Timestamp < rows[j].Timestamp\n\t})\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":513,"cache_read_input_tokens":29004,"output_tokens":1391,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":513,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ97B37JmQrRhr5sZtBP6","type":"assistant","uuid":"c7d57baf-2b11-4363-bd22-b6f5ae4cf140","timestamp":"2026-03-17T18:14:38.960Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"c7d57baf-2b11-4363-bd22-b6f5ae4cf140","isSidechain":false,"promptId":"9e69bd94-834f-43c2-9173-add782b0f1d4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LEFj1LSgwARFjJfDqJypBn","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive.go has been updated successfully."}]},"uuid":"36701fa4-3179-4da4-89fa-9bfce3b3f37d","timestamp":"2026-03-17T18:14:38.984Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive.go","oldString":"// writeParquetArchive writes rows to a Parquet file with Zstd compression.\nfunc writeParquetArchive(filename string, rows []ParquetMetricRow) error {\n\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"creating archive directory: %w\", err)\n\t}\n\n\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"creating parquet file: %w\", err)\n\t}\n\tdefer f.Close()\n\n\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n\n\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n\t\tpq.Compression(&pq.Zstd),\n\t\tpq.SortingWriterConfig(pq.SortingColumns(\n\t\t\tpq.Ascending(\"cluster\"),\n\t\t\tpq.Ascending(\"hostname\"),\n\t\t\tpq.Ascending(\"metric\"),\n\t\t\tpq.Ascending(\"timestamp\"),\n\t\t)),\n\t)\n\n\tif _, err := writer.Write(rows); err != nil {\n\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n\t}\n\n\tif err := writer.Close(); err != nil {\n\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n\t}\n\n\tif err := bw.Flush(); err != nil {\n\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n\t}\n\n\treturn nil\n}","newString":"// parquetArchiveWriter supports incremental writes to a Parquet file.\n// Each call to WriteHostRows writes one row group (typically one host's data),\n// avoiding accumulation of all rows in memory.\ntype parquetArchiveWriter struct {\n\twriter *pq.GenericWriter[ParquetMetricRow]\n\tbw     *bufio.Writer\n\tf      *os.File\n\tcount  int\n}\n\n// newParquetArchiveWriter creates a streaming Parquet writer with Zstd compression.\nfunc newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error) {\n\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n\t\treturn nil, fmt.Errorf(\"creating archive directory: %w\", err)\n\t}\n\n\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn nil, fmt.Errorf(\"creating parquet file: %w\", err)\n\t}\n\n\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n\n\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n\t\tpq.Compression(&pq.Zstd),\n\t)\n\n\treturn &parquetArchiveWriter{writer: writer, bw: bw, f: f}, nil\n}\n\n// WriteHostRows sorts rows by (metric, timestamp) in-place, writes them,\n// and flushes to create a separate row group.\nfunc (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error {\n\tsort.Slice(rows, func(i, j int) bool {\n\t\tif rows[i].Metric != rows[j].Metric {\n\t\t\treturn rows[i].Metric < rows[j].Metric\n\t\t}\n\t\treturn rows[i].Timestamp < rows[j].Timestamp\n\t})\n\n\tif _, err := w.writer.Write(rows); err != nil {\n\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n\t}\n\n\tif err := w.writer.Flush(); err != nil {\n\t\treturn fmt.Errorf(\"flushing parquet row group: %w\", err)\n\t}\n\n\tw.count += len(rows)\n\treturn nil\n}\n\n// Close finalises the Parquet file (footer, buffered I/O, file handle).\nfunc (w *parquetArchiveWriter) Close() error {\n\tif err := w.writer.Close(); err != nil {\n\t\tw.f.Close()\n\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n\t}\n\n\tif err := w.bw.Flush(); err != nil {\n\t\tw.f.Close()\n\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n\t}\n\n\treturn w.f.Close()\n}\n\n// sortParquetRows sorts rows by (metric, timestamp) in-place.\nfunc sortParquetRows(rows []ParquetMetricRow) {\n\tsort.Slice(rows, func(i, j int) bool {\n\t\tif rows[i].Metric != rows[j].Metric {\n\t\t\treturn rows[i].Metric < rows[j].Metric\n\t\t}\n\t\treturn rows[i].Timestamp < rows[j].Timestamp\n\t})\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"encoding/binary\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"sort\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\n// ParquetMetricRow is the long-format schema for archived metric data.\n// One row per (host, metric, scope, scope_id, timestamp) data point.\n// Sorted by (cluster, hostname, metric, timestamp) for optimal compression.\ntype ParquetMetricRow struct {\n\tCluster   string  `parquet:\"cluster\"`\n\tHostname  string  `parquet:\"hostname\"`\n\tMetric    string  `parquet:\"metric\"`\n\tScope     string  `parquet:\"scope\"`\n\tScopeID   string  `parquet:\"scope_id\"`\n\tTimestamp int64   `parquet:\"timestamp\"`\n\tFrequency int64   `parquet:\"frequency\"`\n\tValue     float32 `parquet:\"value\"`\n}\n\n// flattenCheckpointFile recursively converts a CheckpointFile tree into Parquet rows.\n// The scope path is built from the hierarchy: host level is \"node\", then child names\n// map to scope/scope_id (e.g., \"socket0\" → scope=\"socket\", scope_id=\"0\").\nfunc flattenCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string, rows []ParquetMetricRow) []ParquetMetricRow {\n\tfor metricName, cm := range cf.Metrics {\n\t\tts := cm.Start\n\t\tfor _, v := range cm.Data {\n\t\t\tif !v.IsNaN() {\n\t\t\t\trows = append(rows, ParquetMetricRow{\n\t\t\t\t\tCluster:   cluster,\n\t\t\t\t\tHostname:  hostname,\n\t\t\t\t\tMetric:    metricName,\n\t\t\t\t\tScope:     scope,\n\t\t\t\t\tScopeID:   scopeID,\n\t\t\t\t\tTimestamp: ts,\n\t\t\t\t\tFrequency: cm.Frequency,\n\t\t\t\t\tValue:     float32(v),\n\t\t\t\t})\n\t\t\t}\n\t\t\tts += cm.Frequency\n\t\t}\n\t}\n\n\tfor childName, childCf := range cf.Children {\n\t\tchildScope, childScopeID := parseScopeFromName(childName)\n\t\trows = flattenCheckpointFile(childCf, cluster, hostname, childScope, childScopeID, rows)\n\t}\n\n\treturn rows\n}\n\n// parseScopeFromName infers scope and scope_id from a child level name.\n// Examples: \"socket0\" → (\"socket\", \"0\"), \"core12\" → (\"core\", \"12\"),\n// \"a0\" (accelerator) → (\"accelerator\", \"0\").\n// If the name doesn't match known patterns, it's used as-is for scope with empty scope_id.\nfunc parseScopeFromName(name string) (string, string) {\n\tprefixes := []struct {\n\t\tprefix string\n\t\tscope  string\n\t}{\n\t\t{\"socket\", \"socket\"},\n\t\t{\"memoryDomain\", \"memoryDomain\"},\n\t\t{\"core\", \"core\"},\n\t\t{\"hwthread\", \"hwthread\"},\n\t\t{\"cpu\", \"hwthread\"},\n\t\t{\"accelerator\", \"accelerator\"},\n\t}\n\n\tfor _, p := range prefixes {\n\t\tif len(name) > len(p.prefix) && name[:len(p.prefix)] == p.prefix {\n\t\t\tid := name[len(p.prefix):]\n\t\t\tif len(id) > 0 && id[0] >= '0' && id[0] <= '9' {\n\t\t\t\treturn p.scope, id\n\t\t\t}\n\t\t}\n\t}\n\n\treturn name, \"\"\n}\n\n// writeParquetArchive writes rows to a Parquet file with Zstd compression.\nfunc writeParquetArchive(filename string, rows []ParquetMetricRow) error {\n\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"creating archive directory: %w\", err)\n\t}\n\n\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"creating parquet file: %w\", err)\n\t}\n\tdefer f.Close()\n\n\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n\n\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n\t\tpq.Compression(&pq.Zstd),\n\t\tpq.SortingWriterConfig(pq.SortingColumns(\n\t\t\tpq.Ascending(\"cluster\"),\n\t\t\tpq.Ascending(\"hostname\"),\n\t\t\tpq.Ascending(\"metric\"),\n\t\t\tpq.Ascending(\"timestamp\"),\n\t\t)),\n\t)\n\n\tif _, err := writer.Write(rows); err != nil {\n\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n\t}\n\n\tif err := writer.Close(); err != nil {\n\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n\t}\n\n\tif err := bw.Flush(); err != nil {\n\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n\t}\n\n\treturn nil\n}\n\n// loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns\n// a CheckpointFile. Used by the Parquet archiver to read checkpoint data\n// before converting it to Parquet format.\nfunc loadCheckpointFileFromDisk(filename string) (*CheckpointFile, error) {\n\tf, err := os.Open(filename)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer f.Close()\n\n\text := filepath.Ext(filename)\n\tswitch ext {\n\tcase \".json\":\n\t\tcf := &CheckpointFile{}\n\t\tbr := bufio.NewReader(f)\n\t\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"decoding JSON checkpoint %s: %w\", filename, err)\n\t\t}\n\t\treturn cf, nil\n\n\tcase \".bin\":\n\t\tbr := bufio.NewReader(f)\n\t\tvar magic uint32\n\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading magic from %s: %w\", filename, err)\n\t\t}\n\t\tif magic != snapFileMagic {\n\t\t\treturn nil, fmt.Errorf(\"invalid snapshot magic in %s: 0x%08X\", filename, magic)\n\t\t}\n\t\tvar fileFrom, fileTo int64\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading from-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading to-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tcf, err := readBinaryLevel(br)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading binary level from %s: %w\", filename, err)\n\t\t}\n\t\tcf.From = fileFrom\n\t\tcf.To = fileTo\n\t\treturn cf, nil\n\n\tdefault:\n\t\treturn nil, fmt.Errorf(\"unsupported checkpoint extension: %s\", ext)\n\t}\n}\n\n// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n// converts them to Parquet rows. Returns the rows and filenames that were processed.\nfunc archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n\tentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tfiles, err := findFiles(entries, from, false)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tif len(files) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\tvar rows []ParquetMetricRow\n\n\tfor _, checkpoint := range files {\n\t\tfilename := filepath.Join(dir, checkpoint)\n\t\tcf, err := loadCheckpointFileFromDisk(filename)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n\t\t\tcontinue\n\t\t}\n\n\t\trows = flattenCheckpointFile(cf, cluster, host, \"node\", \"\", rows)\n\t}\n\n\treturn rows, files, nil\n}\n","structuredPatch":[{"oldStart":92,"oldLines":45,"newStart":92,"newLines":83,"lines":["   return name, \"\""," }"," ","-// writeParquetArchive writes rows to a Parquet file with Zstd compression.","-func writeParquetArchive(filename string, rows []ParquetMetricRow) error {","+// parquetArchiveWriter supports incremental writes to a Parquet file.","+// Each call to WriteHostRows writes one row group (typically one host's data),","+// avoiding accumulation of all rows in memory.","+type parquetArchiveWriter struct {","+  writer *pq.GenericWriter[ParquetMetricRow]","+  bw     *bufio.Writer","+  f      *os.File","+  count  int","+}","+","+// newParquetArchiveWriter creates a streaming Parquet writer with Zstd compression.","+func newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error) {","   if err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {","-    return fmt.Errorf(\"creating archive directory: %w\", err)","+    return nil, fmt.Errorf(\"creating archive directory: %w\", err)","   }"," ","   f, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)","   if err != nil {","-    return fmt.Errorf(\"creating parquet file: %w\", err)","+    return nil, fmt.Errorf(\"creating parquet file: %w\", err)","   }","-  defer f.Close()"," ","   bw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer"," ","   writer := pq.NewGenericWriter[ParquetMetricRow](bw,","     pq.Compression(&pq.Zstd),","-    pq.SortingWriterConfig(pq.SortingColumns(","-      pq.Ascending(\"cluster\"),","-      pq.Ascending(\"hostname\"),","-      pq.Ascending(\"metric\"),","-      pq.Ascending(\"timestamp\"),","-    )),","   )"," ","-  if _, err := writer.Write(rows); err != nil {","+  return &parquetArchiveWriter{writer: writer, bw: bw, f: f}, nil","+}","+","+// WriteHostRows sorts rows by (metric, timestamp) in-place, writes them,","+// and flushes to create a separate row group.","+func (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error {","+  sort.Slice(rows, func(i, j int) bool {","+    if rows[i].Metric != rows[j].Metric {","+      return rows[i].Metric < rows[j].Metric","+    }","+    return rows[i].Timestamp < rows[j].Timestamp","+  })","+","+  if _, err := w.writer.Write(rows); err != nil {","     return fmt.Errorf(\"writing parquet rows: %w\", err)","   }"," ","-  if err := writer.Close(); err != nil {","+  if err := w.writer.Flush(); err != nil {","+    return fmt.Errorf(\"flushing parquet row group: %w\", err)","+  }","+","+  w.count += len(rows)","+  return nil","+}","+","+// Close finalises the Parquet file (footer, buffered I/O, file handle).","+func (w *parquetArchiveWriter) Close() error {","+  if err := w.writer.Close(); err != nil {","+    w.f.Close()","     return fmt.Errorf(\"closing parquet writer: %w\", err)","   }"," ","-  if err := bw.Flush(); err != nil {","+  if err := w.bw.Flush(); err != nil {","+    w.f.Close()","     return fmt.Errorf(\"flushing parquet file: %w\", err)","   }"," ","-  return nil","+  return w.f.Close()"," }"," ","+// sortParquetRows sorts rows by (metric, timestamp) in-place.","+func sortParquetRows(rows []ParquetMetricRow) {","+  sort.Slice(rows, func(i, j int) bool {","+    if rows[i].Metric != rows[j].Metric {","+      return rows[i].Metric < rows[j].Metric","+    }","+    return rows[i].Timestamp < rows[j].Timestamp","+  })","+}","+"," // loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns"," // a CheckpointFile. Used by the Parquet archiver to read checkpoint data"," // before converting it to Parquet format."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"c7d57baf-2b11-4363-bd22-b6f5ae4cf140","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"b1545362-e02b-4a3e-a599-0260932338f4","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01VfefjavQzgZsqg8hHTVosW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01L18aviRMvE979p3KoRTiow","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive.go","old_string":"// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n// converts them to Parquet rows. Returns the rows and filenames that were processed.\nfunc archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n\tentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tfiles, err := findFiles(entries, from, false)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tif len(files) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\tvar rows []ParquetMetricRow\n\n\tfor _, checkpoint := range files {\n\t\tfilename := filepath.Join(dir, checkpoint)\n\t\tcf, err := loadCheckpointFileFromDisk(filename)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n\t\t\tcontinue\n\t\t}\n\n\t\trows = flattenCheckpointFile(cf, cluster, host, \"node\", \"\", rows)\n\t}\n\n\treturn rows, files, nil\n}","new_string":"// estimateRowCount estimates the number of Parquet rows a CheckpointFile will produce.\n// Used for pre-allocating the rows slice to avoid repeated append doubling.\nfunc estimateRowCount(cf *CheckpointFile) int {\n\tn := 0\n\tfor _, cm := range cf.Metrics {\n\t\tn += len(cm.Data)\n\t}\n\tfor _, child := range cf.Children {\n\t\tn += estimateRowCount(child)\n\t}\n\treturn n\n}\n\n// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n// converts them to Parquet rows. Returns the rows and filenames that were processed.\nfunc archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n\tentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tfiles, err := findFiles(entries, from, false)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tif len(files) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\t// First pass: load checkpoints and estimate total rows for pre-allocation.\n\ttype loaded struct {\n\t\tcf       *CheckpointFile\n\t\tfilename string\n\t}\n\tvar checkpoints []loaded\n\ttotalEstimate := 0\n\n\tfor _, checkpoint := range files {\n\t\tfilename := filepath.Join(dir, checkpoint)\n\t\tcf, err := loadCheckpointFileFromDisk(filename)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n\t\t\tcontinue\n\t\t}\n\t\ttotalEstimate += estimateRowCount(cf)\n\t\tcheckpoints = append(checkpoints, loaded{cf: cf, filename: checkpoint})\n\t}\n\n\tif len(checkpoints) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\trows := make([]ParquetMetricRow, 0, totalEstimate)\n\tprocessedFiles := make([]string, 0, len(checkpoints))\n\n\tfor _, cp := range checkpoints {\n\t\trows = flattenCheckpointFile(cp.cf, cluster, host, \"node\", \"\", rows)\n\t\tprocessedFiles = append(processedFiles, cp.filename)\n\t}\n\n\treturn rows, processedFiles, nil\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1526,"cache_read_input_tokens":29517,"output_tokens":1038,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1526,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ97CJzZck3MZdNy2tP5h","type":"assistant","uuid":"4f5d24ca-a19c-4d0c-821d-792a973286f3","timestamp":"2026-03-17T18:14:53.263Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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Returns the rows and filenames that were processed.\nfunc archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n\tentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tfiles, err := findFiles(entries, from, false)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tif len(files) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\tvar rows []ParquetMetricRow\n\n\tfor _, checkpoint := range files {\n\t\tfilename := filepath.Join(dir, checkpoint)\n\t\tcf, err := loadCheckpointFileFromDisk(filename)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n\t\t\tcontinue\n\t\t}\n\n\t\trows = flattenCheckpointFile(cf, cluster, host, \"node\", \"\", rows)\n\t}\n\n\treturn rows, files, nil\n}","newString":"// estimateRowCount estimates the number of Parquet rows a CheckpointFile will produce.\n// Used for pre-allocating the rows slice to avoid repeated append doubling.\nfunc estimateRowCount(cf *CheckpointFile) int {\n\tn := 0\n\tfor _, cm := range cf.Metrics {\n\t\tn += len(cm.Data)\n\t}\n\tfor _, child := range cf.Children {\n\t\tn += estimateRowCount(child)\n\t}\n\treturn n\n}\n\n// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n// converts them to Parquet rows. Returns the rows and filenames that were processed.\nfunc archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n\tentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tfiles, err := findFiles(entries, from, false)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tif len(files) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\t// First pass: load checkpoints and estimate total rows for pre-allocation.\n\ttype loaded struct {\n\t\tcf       *CheckpointFile\n\t\tfilename string\n\t}\n\tvar checkpoints []loaded\n\ttotalEstimate := 0\n\n\tfor _, checkpoint := range files {\n\t\tfilename := filepath.Join(dir, checkpoint)\n\t\tcf, err := loadCheckpointFileFromDisk(filename)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n\t\t\tcontinue\n\t\t}\n\t\ttotalEstimate += estimateRowCount(cf)\n\t\tcheckpoints = append(checkpoints, loaded{cf: cf, filename: checkpoint})\n\t}\n\n\tif len(checkpoints) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\trows := make([]ParquetMetricRow, 0, totalEstimate)\n\tprocessedFiles := make([]string, 0, len(checkpoints))\n\n\tfor _, cp := range checkpoints {\n\t\trows = flattenCheckpointFile(cp.cf, cluster, host, \"node\", \"\", rows)\n\t\tprocessedFiles = append(processedFiles, cp.filename)\n\t}\n\n\treturn rows, processedFiles, nil\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"encoding/binary\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"sort\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\n// ParquetMetricRow is the long-format schema for archived metric data.\n// One row per (host, metric, scope, scope_id, timestamp) data point.\n// Sorted by (cluster, hostname, metric, timestamp) for optimal compression.\ntype ParquetMetricRow struct {\n\tCluster   string  `parquet:\"cluster\"`\n\tHostname  string  `parquet:\"hostname\"`\n\tMetric    string  `parquet:\"metric\"`\n\tScope     string  `parquet:\"scope\"`\n\tScopeID   string  `parquet:\"scope_id\"`\n\tTimestamp int64   `parquet:\"timestamp\"`\n\tFrequency int64   `parquet:\"frequency\"`\n\tValue     float32 `parquet:\"value\"`\n}\n\n// flattenCheckpointFile recursively converts a CheckpointFile tree into Parquet rows.\n// The scope path is built from the hierarchy: host level is \"node\", then child names\n// map to scope/scope_id (e.g., \"socket0\" → scope=\"socket\", scope_id=\"0\").\nfunc flattenCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string, rows []ParquetMetricRow) []ParquetMetricRow {\n\tfor metricName, cm := range cf.Metrics {\n\t\tts := cm.Start\n\t\tfor _, v := range cm.Data {\n\t\t\tif !v.IsNaN() {\n\t\t\t\trows = append(rows, ParquetMetricRow{\n\t\t\t\t\tCluster:   cluster,\n\t\t\t\t\tHostname:  hostname,\n\t\t\t\t\tMetric:    metricName,\n\t\t\t\t\tScope:     scope,\n\t\t\t\t\tScopeID:   scopeID,\n\t\t\t\t\tTimestamp: ts,\n\t\t\t\t\tFrequency: cm.Frequency,\n\t\t\t\t\tValue:     float32(v),\n\t\t\t\t})\n\t\t\t}\n\t\t\tts += cm.Frequency\n\t\t}\n\t}\n\n\tfor childName, childCf := range cf.Children {\n\t\tchildScope, childScopeID := parseScopeFromName(childName)\n\t\trows = flattenCheckpointFile(childCf, cluster, hostname, childScope, childScopeID, rows)\n\t}\n\n\treturn rows\n}\n\n// parseScopeFromName infers scope and scope_id from a child level name.\n// Examples: \"socket0\" → (\"socket\", \"0\"), \"core12\" → (\"core\", \"12\"),\n// \"a0\" (accelerator) → (\"accelerator\", \"0\").\n// If the name doesn't match known patterns, it's used as-is for scope with empty scope_id.\nfunc parseScopeFromName(name string) (string, string) {\n\tprefixes := []struct {\n\t\tprefix string\n\t\tscope  string\n\t}{\n\t\t{\"socket\", \"socket\"},\n\t\t{\"memoryDomain\", \"memoryDomain\"},\n\t\t{\"core\", \"core\"},\n\t\t{\"hwthread\", \"hwthread\"},\n\t\t{\"cpu\", \"hwthread\"},\n\t\t{\"accelerator\", \"accelerator\"},\n\t}\n\n\tfor _, p := range prefixes {\n\t\tif len(name) > len(p.prefix) && name[:len(p.prefix)] == p.prefix {\n\t\t\tid := name[len(p.prefix):]\n\t\t\tif len(id) > 0 && id[0] >= '0' && id[0] <= '9' {\n\t\t\t\treturn p.scope, id\n\t\t\t}\n\t\t}\n\t}\n\n\treturn name, \"\"\n}\n\n// parquetArchiveWriter supports incremental writes to a Parquet file.\n// Each call to WriteHostRows writes one row group (typically one host's data),\n// avoiding accumulation of all rows in memory.\ntype parquetArchiveWriter struct {\n\twriter *pq.GenericWriter[ParquetMetricRow]\n\tbw     *bufio.Writer\n\tf      *os.File\n\tcount  int\n}\n\n// newParquetArchiveWriter creates a streaming Parquet writer with Zstd compression.\nfunc newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error) {\n\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n\t\treturn nil, fmt.Errorf(\"creating archive directory: %w\", err)\n\t}\n\n\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn nil, fmt.Errorf(\"creating parquet file: %w\", err)\n\t}\n\n\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n\n\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n\t\tpq.Compression(&pq.Zstd),\n\t)\n\n\treturn &parquetArchiveWriter{writer: writer, bw: bw, f: f}, nil\n}\n\n// WriteHostRows sorts rows by (metric, timestamp) in-place, writes them,\n// and flushes to create a separate row group.\nfunc (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error {\n\tsort.Slice(rows, func(i, j int) bool {\n\t\tif rows[i].Metric != rows[j].Metric {\n\t\t\treturn rows[i].Metric < rows[j].Metric\n\t\t}\n\t\treturn rows[i].Timestamp < rows[j].Timestamp\n\t})\n\n\tif _, err := w.writer.Write(rows); err != nil {\n\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n\t}\n\n\tif err := w.writer.Flush(); err != nil {\n\t\treturn fmt.Errorf(\"flushing parquet row group: %w\", err)\n\t}\n\n\tw.count += len(rows)\n\treturn nil\n}\n\n// Close finalises the Parquet file (footer, buffered I/O, file handle).\nfunc (w *parquetArchiveWriter) Close() error {\n\tif err := w.writer.Close(); err != nil {\n\t\tw.f.Close()\n\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n\t}\n\n\tif err := w.bw.Flush(); err != nil {\n\t\tw.f.Close()\n\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n\t}\n\n\treturn w.f.Close()\n}\n\n// sortParquetRows sorts rows by (metric, timestamp) in-place.\nfunc sortParquetRows(rows []ParquetMetricRow) {\n\tsort.Slice(rows, func(i, j int) bool {\n\t\tif rows[i].Metric != rows[j].Metric {\n\t\t\treturn rows[i].Metric < rows[j].Metric\n\t\t}\n\t\treturn rows[i].Timestamp < rows[j].Timestamp\n\t})\n}\n\n// loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns\n// a CheckpointFile. Used by the Parquet archiver to read checkpoint data\n// before converting it to Parquet format.\nfunc loadCheckpointFileFromDisk(filename string) (*CheckpointFile, error) {\n\tf, err := os.Open(filename)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer f.Close()\n\n\text := filepath.Ext(filename)\n\tswitch ext {\n\tcase \".json\":\n\t\tcf := &CheckpointFile{}\n\t\tbr := bufio.NewReader(f)\n\t\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"decoding JSON checkpoint %s: %w\", filename, err)\n\t\t}\n\t\treturn cf, nil\n\n\tcase \".bin\":\n\t\tbr := bufio.NewReader(f)\n\t\tvar magic uint32\n\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading magic from %s: %w\", filename, err)\n\t\t}\n\t\tif magic != snapFileMagic {\n\t\t\treturn nil, fmt.Errorf(\"invalid snapshot magic in %s: 0x%08X\", filename, magic)\n\t\t}\n\t\tvar fileFrom, fileTo int64\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading from-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading to-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tcf, err := readBinaryLevel(br)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading binary level from %s: %w\", filename, err)\n\t\t}\n\t\tcf.From = fileFrom\n\t\tcf.To = fileTo\n\t\treturn cf, nil\n\n\tdefault:\n\t\treturn nil, fmt.Errorf(\"unsupported checkpoint extension: %s\", ext)\n\t}\n}\n\n// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n// converts them to Parquet rows. Returns the rows and filenames that were processed.\nfunc archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n\tentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tfiles, err := findFiles(entries, from, false)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tif len(files) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\tvar rows []ParquetMetricRow\n\n\tfor _, checkpoint := range files {\n\t\tfilename := filepath.Join(dir, checkpoint)\n\t\tcf, err := loadCheckpointFileFromDisk(filename)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n\t\t\tcontinue\n\t\t}\n\n\t\trows = flattenCheckpointFile(cf, cluster, host, \"node\", \"\", rows)\n\t}\n\n\treturn rows, files, nil\n}\n","structuredPatch":[{"oldStart":218,"oldLines":6,"newStart":218,"newLines":19,"lines":["   }"," }"," ","+// estimateRowCount estimates the number of Parquet rows a CheckpointFile will produce.","+// Used for pre-allocating the rows slice to avoid repeated append doubling.","+func estimateRowCount(cf *CheckpointFile) int {","+  n := 0","+  for _, cm := range cf.Metrics {","+    n += len(cm.Data)","+  }","+  for _, child := range cf.Children {","+    n += estimateRowCount(child)","+  }","+  return n","+}","+"," // archiveCheckpointsToParquet reads checkpoint files for a host directory,"," // converts them to Parquet rows. Returns the rows and filenames that were processed."," func archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {"]},{"oldStart":235,"oldLines":7,"newStart":248,"newLines":13,"lines":["     return nil, nil, nil","   }"," ","-  var rows []ParquetMetricRow","+  // First pass: load checkpoints and estimate total rows for pre-allocation.","+  type loaded struct {","+    cf       *CheckpointFile","+    filename string","+  }","+  var checkpoints []loaded","+  totalEstimate := 0"," ","   for _, checkpoint := range files {","     filename := filepath.Join(dir, checkpoint)"]},{"oldStart":244,"oldLines":9,"newStart":263,"newLines":21,"lines":["       cclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)","       continue","     }","+    totalEstimate += estimateRowCount(cf)","+    checkpoints = append(checkpoints, loaded{cf: cf, filename: checkpoint})","+  }"," ","-    rows = flattenCheckpointFile(cf, cluster, host, \"node\", \"\", rows)","+  if len(checkpoints) == 0 {","+    return nil, nil, nil","   }"," ","-  return rows, files, nil","+  rows := make([]ParquetMetricRow, 0, totalEstimate)","+  processedFiles := make([]string, 0, len(checkpoints))","+","+  for _, cp := range checkpoints {","+    rows = flattenCheckpointFile(cp.cf, cluster, host, \"node\", \"\", rows)","+    processedFiles = append(processedFiles, cp.filename)","+  }","+","+  return rows, processedFiles, nil"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"4f5d24ca-a19c-4d0c-821d-792a973286f3","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"2c2d7e52-c2d4-4eb8-95df-c41b6b08c910","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_012Lax8yyV7unZDoBkvqzsAQ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01F2NUeSmUXJ526j3VVko9pD","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/archive.go","old_string":"// archiveCheckpoints archives checkpoint files to Parquet format.\n// Produces one Parquet file per cluster: <cleanupDir>/<cluster>/<timestamp>.parquet\nfunc archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n\tclusterEntries, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttotalFiles := 0\n\n\tfor _, clusterEntry := range clusterEntries {\n\t\tif !clusterEntry.IsDir() {\n\t\t\tcontinue\n\t\t}\n\n\t\tcluster := clusterEntry.Name()\n\t\thostEntries, err := os.ReadDir(filepath.Join(checkpointsDir, cluster))\n\t\tif err != nil {\n\t\t\treturn totalFiles, err\n\t\t}\n\n\t\t// Collect rows from all hosts in this cluster using worker pool\n\t\ttype hostResult struct {\n\t\t\trows  []ParquetMetricRow\n\t\t\tfiles []string // checkpoint filenames to delete after successful write\n\t\t\tdir   string   // checkpoint directory for this host\n\t\t}\n\n\t\tresults := make(chan hostResult, len(hostEntries))\n\t\twork := make(chan struct {\n\t\t\tdir, host string\n\t\t}, Keys.NumWorkers)\n\n\t\tvar wg sync.WaitGroup\n\t\terrs := int32(0)\n\n\t\twg.Add(Keys.NumWorkers)\n\t\tfor w := 0; w < Keys.NumWorkers; w++ {\n\t\t\tgo func() {\n\t\t\t\tdefer wg.Done()\n\t\t\t\tfor item := range work {\n\t\t\t\t\trows, files, err := archiveCheckpointsToParquet(item.dir, cluster, item.host, from)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tif len(rows) > 0 {\n\t\t\t\t\t\tresults <- hostResult{rows: rows, files: files, dir: item.dir}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\t\t}\n\n\t\tgo func() {\n\t\t\tfor _, hostEntry := range hostEntries {\n\t\t\t\tif !hostEntry.IsDir() {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tdir := filepath.Join(checkpointsDir, cluster, hostEntry.Name())\n\t\t\t\twork <- struct {\n\t\t\t\t\tdir, host string\n\t\t\t\t}{dir: dir, host: hostEntry.Name()}\n\t\t\t}\n\t\t\tclose(work)\n\t\t\twg.Wait()\n\t\t\tclose(results)\n\t\t}()\n\n\t\t// Collect all rows and file info\n\t\tvar allRows []ParquetMetricRow\n\t\tvar allResults []hostResult\n\t\tfor r := range results {\n\t\t\tallRows = append(allRows, r.rows...)\n\t\t\tallResults = append(allResults, r)\n\t\t}\n\n\t\tif errs > 0 {\n\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n\t\t}\n\n\t\tif len(allRows) == 0 {\n\t\t\tcontinue\n\t\t}\n\n\t\t// Write one Parquet file per cluster\n\t\tparquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))\n\t\tif err := writeParquetArchive(parquetFile, allRows); err != nil {\n\t\t\treturn totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, err)\n\t\t}\n\n\t\t// Delete archived checkpoint files\n\t\tfor _, result := range allResults {\n\t\t\tfor _, file := range result.files {\n\t\t\t\tfilename := filepath.Join(result.dir, file)\n\t\t\t\tif err := os.Remove(filename); err != nil {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n\t\t\t\t} else {\n\t\t\t\t\ttotalFiles++\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n\t\t\tlen(allRows), totalFiles, cluster, parquetFile)\n\t}\n\n\treturn totalFiles, nil\n}","new_string":"// archiveCheckpoints archives checkpoint files to Parquet format.\n// Produces one Parquet file per cluster: <cleanupDir>/<cluster>/<timestamp>.parquet\n// Each host's rows are written as a separate row group to avoid accumulating\n// all data in memory at once.\nfunc archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n\tclusterEntries, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttotalFiles := 0\n\n\tfor _, clusterEntry := range clusterEntries {\n\t\tif !clusterEntry.IsDir() {\n\t\t\tcontinue\n\t\t}\n\n\t\tcluster := clusterEntry.Name()\n\t\thostEntries, err := os.ReadDir(filepath.Join(checkpointsDir, cluster))\n\t\tif err != nil {\n\t\t\treturn totalFiles, err\n\t\t}\n\n\t\t// Stream per-host rows to parquet writer via worker pool\n\t\ttype hostResult struct {\n\t\t\trows  []ParquetMetricRow\n\t\t\tfiles []string // checkpoint filenames to delete after successful write\n\t\t\tdir   string   // checkpoint directory for this host\n\t\t}\n\n\t\tresults := make(chan hostResult, len(hostEntries))\n\t\twork := make(chan struct {\n\t\t\tdir, host string\n\t\t}, Keys.NumWorkers)\n\n\t\tvar wg sync.WaitGroup\n\t\terrs := int32(0)\n\n\t\twg.Add(Keys.NumWorkers)\n\t\tfor w := 0; w < Keys.NumWorkers; w++ {\n\t\t\tgo func() {\n\t\t\t\tdefer wg.Done()\n\t\t\t\tfor item := range work {\n\t\t\t\t\trows, files, err := archiveCheckpointsToParquet(item.dir, cluster, item.host, from)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tif len(rows) > 0 {\n\t\t\t\t\t\tresults <- hostResult{rows: rows, files: files, dir: item.dir}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\t\t}\n\n\t\tgo func() {\n\t\t\tfor _, hostEntry := range hostEntries {\n\t\t\t\tif !hostEntry.IsDir() {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tdir := filepath.Join(checkpointsDir, cluster, hostEntry.Name())\n\t\t\t\twork <- struct {\n\t\t\t\t\tdir, host string\n\t\t\t\t}{dir: dir, host: hostEntry.Name()}\n\t\t\t}\n\t\t\tclose(work)\n\t\t\twg.Wait()\n\t\t\tclose(results)\n\t\t}()\n\n\t\t// Open streaming writer and write each host's rows as a row group\n\t\tparquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))\n\t\twriter, err := newParquetArchiveWriter(parquetFile)\n\t\tif err != nil {\n\t\t\t// Drain results channel to unblock workers\n\t\t\tfor range results {\n\t\t\t}\n\t\t\treturn totalFiles, fmt.Errorf(\"creating parquet writer for cluster %s: %w\", cluster, err)\n\t\t}\n\n\t\ttype deleteItem struct {\n\t\t\tdir   string\n\t\t\tfiles []string\n\t\t}\n\t\tvar toDelete []deleteItem\n\t\twriteErr := error(nil)\n\n\t\tfor r := range results {\n\t\t\tif writeErr == nil {\n\t\t\t\tsortParquetRows(r.rows)\n\t\t\t\tif err := writer.WriteHostRows(r.rows); err != nil {\n\t\t\t\t\twriteErr = err\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Always track files for deletion (even if write failed, we still drain)\n\t\t\ttoDelete = append(toDelete, deleteItem{dir: r.dir, files: r.files})\n\t\t}\n\n\t\tif err := writer.Close(); err != nil && writeErr == nil {\n\t\t\twriteErr = err\n\t\t}\n\n\t\tif errs > 0 {\n\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n\t\t}\n\n\t\tif writer.count == 0 {\n\t\t\t// No data written — remove empty file\n\t\t\tos.Remove(parquetFile)\n\t\t\tcontinue\n\t\t}\n\n\t\tif writeErr != nil {\n\t\t\tos.Remove(parquetFile)\n\t\t\treturn totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, writeErr)\n\t\t}\n\n\t\t// Delete archived checkpoint files\n\t\tfor _, item := range toDelete {\n\t\t\tfor _, file := range item.files {\n\t\t\t\tfilename := filepath.Join(item.dir, file)\n\t\t\t\tif err := os.Remove(filename); err != nil {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n\t\t\t\t} else {\n\t\t\t\t\ttotalFiles++\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n\t\t\twriter.count, totalFiles, cluster, parquetFile)\n\t}\n\n\treturn totalFiles, nil\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1193,"cache_read_input_tokens":31043,"output_tokens":2500,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1193,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ97DNEoZArSeP2DNLgPJ","type":"assistant","uuid":"9d120e45-e7dc-43fe-9300-b76eeb8d8ff4","timestamp":"2026-03-17T18:15:23.085Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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w < Keys.NumWorkers; w++ {\n\t\t\tgo func() {\n\t\t\t\tdefer wg.Done()\n\t\t\t\tfor item := range work {\n\t\t\t\t\trows, files, err := archiveCheckpointsToParquet(item.dir, cluster, item.host, from)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tif len(rows) > 0 {\n\t\t\t\t\t\tresults <- hostResult{rows: rows, files: files, dir: item.dir}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\t\t}\n\n\t\tgo func() {\n\t\t\tfor _, hostEntry := range hostEntries {\n\t\t\t\tif !hostEntry.IsDir() {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tdir := filepath.Join(checkpointsDir, cluster, hostEntry.Name())\n\t\t\t\twork <- struct {\n\t\t\t\t\tdir, host string\n\t\t\t\t}{dir: dir, host: hostEntry.Name()}\n\t\t\t}\n\t\t\tclose(work)\n\t\t\twg.Wait()\n\t\t\tclose(results)\n\t\t}()\n\n\t\t// Collect all rows and file info\n\t\tvar allRows []ParquetMetricRow\n\t\tvar allResults []hostResult\n\t\tfor r := range results {\n\t\t\tallRows = append(allRows, r.rows...)\n\t\t\tallResults = append(allResults, r)\n\t\t}\n\n\t\tif errs > 0 {\n\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n\t\t}\n\n\t\tif len(allRows) == 0 {\n\t\t\tcontinue\n\t\t}\n\n\t\t// Write one Parquet file per cluster\n\t\tparquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))\n\t\tif err := writeParquetArchive(parquetFile, allRows); err != nil {\n\t\t\treturn totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, err)\n\t\t}\n\n\t\t// Delete archived checkpoint files\n\t\tfor _, result := range allResults {\n\t\t\tfor _, file := range result.files {\n\t\t\t\tfilename := filepath.Join(result.dir, file)\n\t\t\t\tif err := os.Remove(filename); err != nil {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n\t\t\t\t} else {\n\t\t\t\t\ttotalFiles++\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n\t\t\tlen(allRows), totalFiles, cluster, parquetFile)\n\t}\n\n\treturn totalFiles, nil\n}","newString":"// archiveCheckpoints archives checkpoint files to Parquet format.\n// Produces one Parquet file per cluster: <cleanupDir>/<cluster>/<timestamp>.parquet\n// Each host's rows are written as a separate row group to avoid accumulating\n// all data in memory at once.\nfunc archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n\tclusterEntries, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttotalFiles := 0\n\n\tfor _, clusterEntry := range clusterEntries {\n\t\tif !clusterEntry.IsDir() {\n\t\t\tcontinue\n\t\t}\n\n\t\tcluster := clusterEntry.Name()\n\t\thostEntries, err := os.ReadDir(filepath.Join(checkpointsDir, cluster))\n\t\tif err != nil {\n\t\t\treturn totalFiles, err\n\t\t}\n\n\t\t// Stream per-host rows to parquet writer via worker pool\n\t\ttype hostResult struct {\n\t\t\trows  []ParquetMetricRow\n\t\t\tfiles []string // checkpoint filenames to delete after successful write\n\t\t\tdir   string   // checkpoint directory for this host\n\t\t}\n\n\t\tresults := make(chan hostResult, len(hostEntries))\n\t\twork := make(chan struct {\n\t\t\tdir, host string\n\t\t}, Keys.NumWorkers)\n\n\t\tvar wg sync.WaitGroup\n\t\terrs := int32(0)\n\n\t\twg.Add(Keys.NumWorkers)\n\t\tfor w := 0; w < Keys.NumWorkers; w++ {\n\t\t\tgo func() {\n\t\t\t\tdefer wg.Done()\n\t\t\t\tfor item := range work {\n\t\t\t\t\trows, files, err := archiveCheckpointsToParquet(item.dir, cluster, item.host, from)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tif len(rows) > 0 {\n\t\t\t\t\t\tresults <- hostResult{rows: rows, files: files, dir: item.dir}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\t\t}\n\n\t\tgo func() {\n\t\t\tfor _, hostEntry := range hostEntries {\n\t\t\t\tif !hostEntry.IsDir() {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tdir := filepath.Join(checkpointsDir, cluster, hostEntry.Name())\n\t\t\t\twork <- struct {\n\t\t\t\t\tdir, host string\n\t\t\t\t}{dir: dir, host: hostEntry.Name()}\n\t\t\t}\n\t\t\tclose(work)\n\t\t\twg.Wait()\n\t\t\tclose(results)\n\t\t}()\n\n\t\t// Open streaming writer and write each host's rows as a row group\n\t\tparquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))\n\t\twriter, err := newParquetArchiveWriter(parquetFile)\n\t\tif err != nil {\n\t\t\t// Drain results channel to unblock workers\n\t\t\tfor range results {\n\t\t\t}\n\t\t\treturn totalFiles, fmt.Errorf(\"creating parquet writer for cluster %s: %w\", cluster, err)\n\t\t}\n\n\t\ttype deleteItem struct {\n\t\t\tdir   string\n\t\t\tfiles []string\n\t\t}\n\t\tvar toDelete []deleteItem\n\t\twriteErr := error(nil)\n\n\t\tfor r := range results {\n\t\t\tif writeErr == nil {\n\t\t\t\tsortParquetRows(r.rows)\n\t\t\t\tif err := writer.WriteHostRows(r.rows); err != nil {\n\t\t\t\t\twriteErr = err\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Always track files for deletion (even if write failed, we still drain)\n\t\t\ttoDelete = append(toDelete, deleteItem{dir: r.dir, files: r.files})\n\t\t}\n\n\t\tif err := writer.Close(); err != nil && writeErr == nil {\n\t\t\twriteErr = err\n\t\t}\n\n\t\tif errs > 0 {\n\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n\t\t}\n\n\t\tif writer.count == 0 {\n\t\t\t// No data written — remove empty file\n\t\t\tos.Remove(parquetFile)\n\t\t\tcontinue\n\t\t}\n\n\t\tif writeErr != nil {\n\t\t\tos.Remove(parquetFile)\n\t\t\treturn totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, writeErr)\n\t\t}\n\n\t\t// Delete archived checkpoint files\n\t\tfor _, item := range toDelete {\n\t\t\tfor _, file := range item.files {\n\t\t\t\tfilename := filepath.Join(item.dir, file)\n\t\t\t\tif err := os.Remove(filename); err != nil {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n\t\t\t\t} else {\n\t\t\t\t\ttotalFiles++\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n\t\t\twriter.count, totalFiles, cluster, parquetFile)\n\t}\n\n\treturn totalFiles, nil\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"sync\"\n\t\"sync/atomic\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n)\n\n// Worker for either Archiving or Deleting files\n\nfunc CleanUp(wg *sync.WaitGroup, ctx context.Context) {\n\tif Keys.Cleanup.Mode == \"archive\" {\n\t\t// Run as Archiver\n\t\tcleanUpWorker(wg, ctx,\n\t\t\tKeys.RetentionInMemory,\n\t\t\t\"archiving\",\n\t\t\tKeys.Cleanup.RootDir,\n\t\t\tfalse,\n\t\t)\n\t} else {\n\t\t// Run as Deleter\n\t\tcleanUpWorker(wg, ctx,\n\t\t\tKeys.RetentionInMemory,\n\t\t\t\"deleting\",\n\t\t\t\"\",\n\t\t\ttrue,\n\t\t)\n\t}\n}\n\n// cleanUpWorker takes simple values to configure what it does\nfunc cleanUpWorker(wg *sync.WaitGroup, ctx context.Context, interval string, mode string, cleanupDir string, delete bool) {\n\twg.Go(func() {\n\n\t\td, err := time.ParseDuration(interval)\n\t\tif err != nil {\n\t\t\tcclog.Fatalf(\"[METRICSTORE]> error parsing %s interval duration: %v\\n\", mode, err)\n\t\t}\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(d)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tt := time.Now().Add(-d)\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start %s checkpoints (older than %s)...\", mode, t.Format(time.RFC3339))\n\n\t\t\t\tn, err := CleanupCheckpoints(Keys.Checkpoints.RootDir, cleanupDir, t.Unix(), delete)\n\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> %s failed: %s\", mode, err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tif delete {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoints deleted\", n)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files archived to parquet\", n)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\nvar ErrNoNewArchiveData error = errors.New(\"all data already archived\")\n\n// CleanupCheckpoints deletes or archives all checkpoint files older than `from`.\n// When archiving, consolidates all hosts per cluster into a single Parquet file.\nfunc CleanupCheckpoints(checkpointsDir, cleanupDir string, from int64, deleteInstead bool) (int, error) {\n\tif deleteInstead {\n\t\treturn deleteCheckpoints(checkpointsDir, from)\n\t}\n\n\treturn archiveCheckpoints(checkpointsDir, cleanupDir, from)\n}\n\n// deleteCheckpoints removes checkpoint files older than `from` across all clusters/hosts.\nfunc deleteCheckpoints(checkpointsDir string, from int64) (int, error) {\n\tentries1, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttype workItem struct {\n\t\tdir            string\n\t\tcluster, host  string\n\t}\n\n\tvar wg sync.WaitGroup\n\tn, errs := int32(0), int32(0)\n\twork := make(chan workItem, Keys.NumWorkers)\n\n\twg.Add(Keys.NumWorkers)\n\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor item := range work {\n\t\t\t\tentries, err := os.ReadDir(item.dir)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"error reading %s/%s: %s\", item.cluster, item.host, err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tfiles, err := findFiles(entries, from, false)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"error finding files in %s/%s: %s\", item.cluster, item.host, err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tfor _, checkpoint := range files {\n\t\t\t\t\tif err := os.Remove(filepath.Join(item.dir, checkpoint)); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"error deleting %s/%s/%s: %s\", item.cluster, item.host, checkpoint, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor _, de1 := range entries1 {\n\t\tentries2, e := os.ReadDir(filepath.Join(checkpointsDir, de1.Name()))\n\t\tif e != nil {\n\t\t\terr = e\n\t\t\tcontinue\n\t\t}\n\n\t\tfor _, de2 := range entries2 {\n\t\t\twork <- workItem{\n\t\t\t\tdir:     filepath.Join(checkpointsDir, de1.Name(), de2.Name()),\n\t\t\t\tcluster: de1.Name(),\n\t\t\t\thost:    de2.Name(),\n\t\t\t}\n\t\t}\n\t}\n\n\tclose(work)\n\twg.Wait()\n\n\tif err != nil {\n\t\treturn int(n), err\n\t}\n\tif errs > 0 {\n\t\treturn int(n), fmt.Errorf(\"%d errors happened while deleting (%d successes)\", errs, n)\n\t}\n\treturn int(n), nil\n}\n\n// archiveCheckpoints archives checkpoint files to Parquet format.\n// Produces one Parquet file per cluster: <cleanupDir>/<cluster>/<timestamp>.parquet\nfunc archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n\tclusterEntries, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttotalFiles := 0\n\n\tfor _, clusterEntry := range clusterEntries {\n\t\tif !clusterEntry.IsDir() {\n\t\t\tcontinue\n\t\t}\n\n\t\tcluster := clusterEntry.Name()\n\t\thostEntries, err := os.ReadDir(filepath.Join(checkpointsDir, cluster))\n\t\tif err != nil {\n\t\t\treturn totalFiles, err\n\t\t}\n\n\t\t// Collect rows from all hosts in this cluster using worker pool\n\t\ttype hostResult struct {\n\t\t\trows  []ParquetMetricRow\n\t\t\tfiles []string // checkpoint filenames to delete after successful write\n\t\t\tdir   string   // checkpoint directory for this host\n\t\t}\n\n\t\tresults := make(chan hostResult, len(hostEntries))\n\t\twork := make(chan struct {\n\t\t\tdir, host string\n\t\t}, Keys.NumWorkers)\n\n\t\tvar wg sync.WaitGroup\n\t\terrs := int32(0)\n\n\t\twg.Add(Keys.NumWorkers)\n\t\tfor w := 0; w < Keys.NumWorkers; w++ {\n\t\t\tgo func() {\n\t\t\t\tdefer wg.Done()\n\t\t\t\tfor item := range work {\n\t\t\t\t\trows, files, err := archiveCheckpointsToParquet(item.dir, cluster, item.host, from)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tif len(rows) > 0 {\n\t\t\t\t\t\tresults <- hostResult{rows: rows, files: files, dir: item.dir}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\t\t}\n\n\t\tgo func() {\n\t\t\tfor _, hostEntry := range hostEntries {\n\t\t\t\tif !hostEntry.IsDir() {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tdir := filepath.Join(checkpointsDir, cluster, hostEntry.Name())\n\t\t\t\twork <- struct {\n\t\t\t\t\tdir, host string\n\t\t\t\t}{dir: dir, host: hostEntry.Name()}\n\t\t\t}\n\t\t\tclose(work)\n\t\t\twg.Wait()\n\t\t\tclose(results)\n\t\t}()\n\n\t\t// Collect all rows and file info\n\t\tvar allRows []ParquetMetricRow\n\t\tvar allResults []hostResult\n\t\tfor r := range results {\n\t\t\tallRows = append(allRows, r.rows...)\n\t\t\tallResults = append(allResults, r)\n\t\t}\n\n\t\tif errs > 0 {\n\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n\t\t}\n\n\t\tif len(allRows) == 0 {\n\t\t\tcontinue\n\t\t}\n\n\t\t// Write one Parquet file per cluster\n\t\tparquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))\n\t\tif err := writeParquetArchive(parquetFile, allRows); err != nil {\n\t\t\treturn totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, err)\n\t\t}\n\n\t\t// Delete archived checkpoint files\n\t\tfor _, result := range allResults {\n\t\t\tfor _, file := range result.files {\n\t\t\t\tfilename := filepath.Join(result.dir, file)\n\t\t\t\tif err := os.Remove(filename); err != nil {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n\t\t\t\t} else {\n\t\t\t\t\ttotalFiles++\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n\t\t\tlen(allRows), totalFiles, cluster, parquetFile)\n\t}\n\n\treturn totalFiles, nil\n}\n","structuredPatch":[{"oldStart":168,"oldLines":6,"newStart":168,"newLines":8,"lines":[" "," // archiveCheckpoints archives checkpoint files to Parquet format."," // Produces one Parquet file per cluster: <cleanupDir>/<cluster>/<timestamp>.parquet","+// Each host's rows are written as a separate row group to avoid accumulating","+// all data in memory at once."," func archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {","   clusterEntries, err := os.ReadDir(checkpointsDir)","   if err != nil {"]},{"oldStart":187,"oldLines":7,"newStart":189,"newLines":7,"lines":["       return totalFiles, err","     }"," ","-    // Collect rows from all hosts in this cluster using worker pool","+    // Stream per-host rows to parquet writer via worker pool","     type hostResult struct {","       rows  []ParquetMetricRow","       files []string // checkpoint filenames to delete after successful write"]},{"oldStart":235,"oldLines":32,"newStart":237,"newLines":57,"lines":["       close(results)","     }()"," ","-    // Collect all rows and file info","-    var allRows []ParquetMetricRow","-    var allResults []hostResult","+    // Open streaming writer and write each host's rows as a row group","+    parquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))","+    writer, err := newParquetArchiveWriter(parquetFile)","+    if err != nil {","+      // Drain results channel to unblock workers","+      for range results {","+      }","+      return totalFiles, fmt.Errorf(\"creating parquet writer for cluster %s: %w\", cluster, err)","+    }","+","+    type deleteItem struct {","+      dir   string","+      files []string","+    }","+    var toDelete []deleteItem","+    writeErr := error(nil)","+","     for r := range results {","-      allRows = append(allRows, r.rows...)","-      allResults = append(allResults, r)","+      if writeErr == nil {","+        sortParquetRows(r.rows)","+        if err := writer.WriteHostRows(r.rows); err != nil {","+          writeErr = err","+        }","+      }","+      // Always track files for deletion (even if write failed, we still drain)","+      toDelete = append(toDelete, deleteItem{dir: r.dir, files: r.files})","     }"," ","+    if err := writer.Close(); err != nil && writeErr == nil {","+      writeErr = err","+    }","+","     if errs > 0 {","       return totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)","     }"," ","-    if len(allRows) == 0 {","+    if writer.count == 0 {","+      // No data written — remove empty file","+      os.Remove(parquetFile)","       continue","     }"," ","-    // Write one Parquet file per cluster","-    parquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))","-    if err := writeParquetArchive(parquetFile, allRows); err != nil {","-      return totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, err)","+    if writeErr != nil {","+      os.Remove(parquetFile)","+      return totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, writeErr)","     }"," ","     // Delete archived checkpoint files","-    for _, result := range allResults {","-      for _, file := range result.files {","-        filename := filepath.Join(result.dir, file)","+    for _, item := range toDelete {","+      for _, file := range item.files {","+        filename := filepath.Join(item.dir, file)","         if err := os.Remove(filename); err != nil {","           cclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)","         } else {"]},{"oldStart":270,"oldLines":7,"newStart":297,"newLines":7,"lines":["     }"," ","     cclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",","-      len(allRows), totalFiles, cluster, parquetFile)","+      writer.count, totalFiles, cluster, parquetFile)","   }"," ","   return totalFiles, nil"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"9d120e45-e7dc-43fe-9300-b76eeb8d8ff4","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"encoding/json\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"testing\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\nfunc TestParseScopeFromName(t *testing.T) {\n\ttests := []struct {\n\t\tname      string\n\t\twantScope string\n\t\twantID    string\n\t}{\n\t\t{\"socket0\", \"socket\", \"0\"},\n\t\t{\"socket12\", \"socket\", \"12\"},\n\t\t{\"core0\", \"core\", \"0\"},\n\t\t{\"core127\", \"core\", \"127\"},\n\t\t{\"cpu0\", \"hwthread\", \"0\"},\n\t\t{\"hwthread5\", \"hwthread\", \"5\"},\n\t\t{\"memoryDomain0\", \"memoryDomain\", \"0\"},\n\t\t{\"accelerator0\", \"accelerator\", \"0\"},\n\t\t{\"unknown\", \"unknown\", \"\"},\n\t\t{\"socketX\", \"socketX\", \"\"}, // not numeric suffix\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(tt.name, func(t *testing.T) {\n\t\t\tscope, id := parseScopeFromName(tt.name)\n\t\t\tif scope != tt.wantScope || id != tt.wantID {\n\t\t\t\tt.Errorf(\"parseScopeFromName(%q) = (%q, %q), want (%q, %q)\",\n\t\t\t\t\ttt.name, scope, id, tt.wantScope, tt.wantID)\n\t\t\t}\n\t\t})\n\t}\n}\n\nfunc TestFlattenCheckpointFile(t *testing.T) {\n\tcf := &CheckpointFile{\n\t\tFrom: 1000,\n\t\tTo:   1060,\n\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\"cpu_load\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart:     1000,\n\t\t\t\tData:      []schema.Float{0.5, 0.7, schema.NaN},\n\t\t\t},\n\t\t},\n\t\tChildren: map[string]*CheckpointFile{\n\t\t\t\"socket0\": {\n\t\t\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\t\t\"mem_bw\": {\n\t\t\t\t\t\tFrequency: 60,\n\t\t\t\t\t\tStart:     1000,\n\t\t\t\t\t\tData:      []schema.Float{100.0, schema.NaN, 200.0},\n\t\t\t\t\t},\n\t\t\t\t},\n\t\t\t\tChildren: make(map[string]*CheckpointFile),\n\t\t\t},\n\t\t},\n\t}\n\n\trows := flattenCheckpointFile(cf, \"fritz\", \"node001\", \"node\", \"\", nil)\n\n\t// cpu_load: 2 non-NaN values at node scope\n\t// mem_bw: 2 non-NaN values at socket0 scope\n\tif len(rows) != 4 {\n\t\tt.Fatalf(\"expected 4 rows, got %d\", len(rows))\n\t}\n\n\t// Verify a node-scope row\n\tfound := false\n\tfor _, r := range rows {\n\t\tif r.Metric == \"cpu_load\" && r.Timestamp == 1000 {\n\t\t\tfound = true\n\t\t\tif r.Cluster != \"fritz\" || r.Hostname != \"node001\" || r.Scope != \"node\" || r.Value != 0.5 {\n\t\t\t\tt.Errorf(\"unexpected row: %+v\", r)\n\t\t\t}\n\t\t}\n\t}\n\tif !found {\n\t\tt.Error(\"expected cpu_load row at timestamp 1000\")\n\t}\n\n\t// Verify a socket-scope row\n\tfound = false\n\tfor _, r := range rows {\n\t\tif r.Metric == \"mem_bw\" && r.Scope == \"socket\" && r.ScopeID == \"0\" {\n\t\t\tfound = true\n\t\t}\n\t}\n\tif !found {\n\t\tt.Error(\"expected mem_bw row with scope=socket, scope_id=0\")\n\t}\n}\n\nfunc TestParquetArchiveRoundtrip(t *testing.T) {\n\ttmpDir := t.TempDir()\n\n\t// Create checkpoint files on disk (JSON format)\n\tcpDir := filepath.Join(tmpDir, \"checkpoints\", \"testcluster\", \"node001\")\n\tif err := os.MkdirAll(cpDir, 0o755); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tcf := &CheckpointFile{\n\t\tFrom: 1000,\n\t\tTo:   1180,\n\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\"cpu_load\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart:     1000,\n\t\t\t\tData:      []schema.Float{0.5, 0.7, 0.9},\n\t\t\t},\n\t\t\t\"mem_used\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart:     1000,\n\t\t\t\tData:      []schema.Float{45.0, 46.0, 47.0},\n\t\t\t},\n\t\t},\n\t\tChildren: map[string]*CheckpointFile{\n\t\t\t\"socket0\": {\n\t\t\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\t\t\"mem_bw\": {\n\t\t\t\t\t\tFrequency: 60,\n\t\t\t\t\t\tStart:     1000,\n\t\t\t\t\t\tData:      []schema.Float{100.0, 110.0, 120.0},\n\t\t\t\t\t},\n\t\t\t\t},\n\t\t\t\tChildren: make(map[string]*CheckpointFile),\n\t\t\t},\n\t\t},\n\t}\n\n\t// Write JSON checkpoint\n\tcpFile := filepath.Join(cpDir, \"1000.json\")\n\tdata, err := json.Marshal(cf)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif err := os.WriteFile(cpFile, data, 0o644); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\t// Archive to Parquet\n\tarchiveDir := filepath.Join(tmpDir, \"archive\")\n\trows, files, err := archiveCheckpointsToParquet(cpDir, \"testcluster\", \"node001\", 2000)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif len(files) != 1 || files[0] != \"1000.json\" {\n\t\tt.Fatalf(\"expected 1 file, got %v\", files)\n\t}\n\n\tparquetFile := filepath.Join(archiveDir, \"testcluster\", \"1000.parquet\")\n\tif err := writeParquetArchive(parquetFile, rows); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\t// Read back and verify\n\tf, err := os.Open(parquetFile)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tdefer f.Close()\n\n\tstat, _ := f.Stat()\n\tpf, err := pq.OpenFile(f, stat.Size())\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\treader := pq.NewGenericReader[ParquetMetricRow](pf)\n\treadRows := make([]ParquetMetricRow, 100)\n\tn, err := reader.Read(readRows)\n\tif err != nil && n == 0 {\n\t\tt.Fatal(err)\n\t}\n\treadRows = readRows[:n]\n\treader.Close()\n\n\t// We expect: cpu_load(3) + mem_used(3) + mem_bw(3) = 9 rows\n\tif n != 9 {\n\t\tt.Fatalf(\"expected 9 rows in parquet file, got %d\", n)\n\t}\n\n\t// Verify cluster and hostname are set correctly\n\tfor _, r := range readRows {\n\t\tif r.Cluster != \"testcluster\" {\n\t\t\tt.Errorf(\"expected cluster=testcluster, got %s\", r.Cluster)\n\t\t}\n\t\tif r.Hostname != \"node001\" {\n\t\t\tt.Errorf(\"expected hostname=node001, got %s\", r.Hostname)\n\t\t}\n\t}\n\n\t// Verify parquet file is smaller than JSON (compression working)\n\tif stat.Size() == 0 {\n\t\tt.Error(\"parquet file is empty\")\n\t}\n\n\tt.Logf(\"Parquet file size: %d bytes for %d rows\", stat.Size(), n)\n}\n\nfunc TestLoadCheckpointFileFromDisk_JSON(t *testing.T) {\n\ttmpDir := t.TempDir()\n\n\tcf := &CheckpointFile{\n\t\tFrom: 1000,\n\t\tTo:   1060,\n\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\"test_metric\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart:     1000,\n\t\t\t\tData:      []schema.Float{1.0, 2.0, 3.0},\n\t\t\t},\n\t\t},\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tfilename := filepath.Join(tmpDir, \"1000.json\")\n\tdata, err := json.Marshal(cf)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif err := os.WriteFile(filename, data, 0o644); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tloaded, err := loadCheckpointFileFromDisk(filename)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tif loaded.From != 1000 || loaded.To != 1060 {\n\t\tt.Errorf(\"expected From=1000, To=1060, got From=%d, To=%d\", loaded.From, loaded.To)\n\t}\n\n\tm, ok := loaded.Metrics[\"test_metric\"]\n\tif !ok {\n\t\tt.Fatal(\"expected test_metric in loaded checkpoint\")\n\t}\n\tif m.Frequency != 60 || m.Start != 1000 || len(m.Data) != 3 {\n\t\tt.Errorf(\"unexpected metric data: %+v\", m)\n\t}\n}\n","structuredPatch":[{"oldStart":162,"oldLines":9,"newStart":162,"newLines":17,"lines":["   }"," ","   parquetFile := filepath.Join(archiveDir, \"testcluster\", \"1000.parquet\")","-  if err := writeParquetArchive(parquetFile, rows); err != nil {","+  writer, err := newParquetArchiveWriter(parquetFile)","+  if err != nil {","     t.Fatal(err)","   }","+  sortParquetRows(rows)","+  if err := writer.WriteHostRows(rows); err != nil {","+    t.Fatal(err)","+  }","+  if err := writer.Close(); err != nil {","+    t.Fatal(err)","+  }"," ","   // Read back and verify","   f, err := os.Open(parquetFile)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"53cbcd29-7347-43e9-909c-86cbb06de2ee","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"442aef62-2c74-45f6-8858-79e6b9da2e9f","isSidechain":false,"promptId":"9e69bd94-834f-43c2-9173-add782b0f1d4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Y1VTXV4w6gCfFBDTJRRJiU","type":"tool_result","content":"=== RUN   TestBufferPoolGetReuse\n--- PASS: TestBufferPoolGetReuse (0.00s)\n=== RUN   TestBufferPoolClear\n--- PASS: TestBufferPoolClear (0.00s)\n=== RUN   TestBufferEndFirstWrite\n--- PASS: TestBufferEndFirstWrite (0.00s)\n=== RUN   TestBufferWriteNaNFill\n--- PASS: TestBufferWriteNaNFill (0.00s)\n=== RUN   TestBufferWriteCapacityOverflow\n--- PASS: TestBufferWriteCapacityOverflow (0.00s)\n=== RUN   TestBufferWriteOverwrite\n--- PASS: TestBufferWriteOverwrite (0.00s)\n=== RUN   TestBufferReadBeforeFirstWrite\n--- PASS: TestBufferReadBeforeFirstWrite (0.00s)\n=== RUN   TestBufferReadChain\n--- PASS: TestBufferReadChain (0.00s)\n=== RUN   TestBufferReadIdxAfterSwitch\n--- PASS: TestBufferReadIdxAfterSwitch (0.00s)\n=== RUN   TestBufferReadNaNValues\n--- PASS: TestBufferReadNaNValues (0.00s)\n=== RUN   TestBufferReadAccumulation\n--- PASS: TestBufferReadAccumulation (0.00s)\n=== RUN   TestBufferFreeRetention\n--- PASS: TestBufferFreeRetention (0.00s)\n=== RUN   TestBufferFreeAll\n--- PASS: TestBufferFreeAll (0.00s)\n=== RUN   TestForceFreeOldestPoolReturn\n--- PASS: TestForceFreeOldestPoolReturn (0.00s)\n=== RUN   TestForceFreeOldestSingleBuffer\n--- PASS: TestForceFreeOldestSingleBuffer (0.00s)\n=== RUN   TestBufferIterFromToOrder\n--- PASS: TestBufferIterFromToOrder (0.00s)\n=== RUN   TestBufferIterFromToFiltered\n--- PASS: TestBufferIterFromToFiltered (0.00s)\n=== RUN   TestBufferIterFromToNilBuffer\n--- PASS: TestBufferIterFromToNilBuffer (0.00s)\n=== RUN   TestBufferCount\n--- PASS: TestBufferCount (0.00s)\n=== RUN   TestAssignAggregationStrategy\n=== RUN   TestAssignAggregationStrategy/empty_string\n=== RUN   TestAssignAggregationStrategy/sum\n=== RUN   TestAssignAggregationStrategy/avg\n=== RUN   TestAssignAggregationStrategy/invalid\n--- PASS: TestAssignAggregationStrategy (0.00s)\n    --- PASS: TestAssignAggregationStrategy/empty_string (0.00s)\n    --- PASS: TestAssignAggregationStrategy/sum (0.00s)\n    --- PASS: TestAssignAggregationStrategy/avg (0.00s)\n    --- PASS: TestAssignAggregationStrategy/invalid (0.00s)\n=== RUN   TestBufferWrite\n--- PASS: TestBufferWrite (0.00s)\n=== RUN   TestBufferRead\n--- PASS: TestBufferRead (0.00s)\n=== RUN   TestHealthCheck\n=== RUN   TestHealthCheck/all_metrics_healthy\n=== RUN   TestHealthCheck/some_metrics_stale\n<7>[DEBUG]    2026/03/17 19:15:40 [metricstore] HealthCheck: node node002degraded metrics:[cpu_user cpu_system]\n=== RUN   TestHealthCheck/some_metrics_missing\n<7>[DEBUG]    2026/03/17 19:15:40 [metricstore] HealthCheck: node node003missing metrics:[cpu_user cpu_system]\n=== RUN   TestHealthCheck/node_not_found\n=== RUN   TestHealthCheck/all_metrics_stale\n<7>[DEBUG]    2026/03/17 19:15:40 [metricstore] HealthCheck: node node005degraded metrics:[load mem_used cpu_user cpu_system]\n=== RUN   TestHealthCheck/multiple_nodes_mixed_states\n<7>[DEBUG]    2026/03/17 19:15:40 [metricstore] HealthCheck: node node005degraded metrics:[load mem_used]\n--- PASS: TestHealthCheck (0.00s)\n    --- PASS: TestHealthCheck/all_metrics_healthy (0.00s)\n    --- PASS: TestHealthCheck/some_metrics_stale (0.00s)\n    --- PASS: TestHealthCheck/some_metrics_missing (0.00s)\n    --- PASS: TestHealthCheck/node_not_found (0.00s)\n    --- PASS: TestHealthCheck/all_metrics_stale (0.00s)\n    --- PASS: TestHealthCheck/multiple_nodes_mixed_states (0.00s)\n=== RUN   TestGetHealthyMetrics\n=== RUN   TestGetHealthyMetrics/mixed_health_states\n=== RUN   TestGetHealthyMetrics/node_not_found\n=== RUN   TestGetHealthyMetrics/check_only_healthy_metric\n--- PASS: TestGetHealthyMetrics (0.00s)\n    --- PASS: TestGetHealthyMetrics/mixed_health_states (0.00s)\n    --- PASS: TestGetHealthyMetrics/node_not_found (0.00s)\n    --- PASS: TestGetHealthyMetrics/check_only_healthy_metric (0.00s)\n=== RUN   TestBufferHealthChecks\n=== RUN   TestBufferHealthChecks/nil_buffer\n=== RUN   TestBufferHealthChecks/empty_buffer\n=== RUN   TestBufferHealthChecks/healthy_buffer_with_recent_data\n=== RUN   TestBufferHealthChecks/stale_buffer_beyond_threshold\n=== RUN   TestBufferHealthChecks/buffer_at_threshold_boundary\n--- PASS: TestBufferHealthChecks (0.00s)\n    --- PASS: TestBufferHealthChecks/nil_buffer (0.00s)\n    --- PASS: TestBufferHealthChecks/empty_buffer (0.00s)\n    --- PASS: TestBufferHealthChecks/healthy_buffer_with_recent_data (0.00s)\n    --- PASS: TestBufferHealthChecks/stale_buffer_beyond_threshold (0.00s)\n    --- PASS: TestBufferHealthChecks/buffer_at_threshold_boundary (0.00s)\n=== RUN   TestBufferPoolClean\n--- PASS: TestBufferPoolClean (0.00s)\n=== RUN   TestParseScopeFromName\n=== RUN   TestParseScopeFromName/socket0\n=== RUN   TestParseScopeFromName/socket12\n=== RUN   TestParseScopeFromName/core0\n=== RUN   TestParseScopeFromName/core127\n=== RUN   TestParseScopeFromName/cpu0\n=== RUN   TestParseScopeFromName/hwthread5\n=== RUN   TestParseScopeFromName/memoryDomain0\n=== RUN   TestParseScopeFromName/accelerator0\n=== RUN   TestParseScopeFromName/unknown\n=== RUN   TestParseScopeFromName/socketX\n--- PASS: TestParseScopeFromName (0.00s)\n    --- PASS: TestParseScopeFromName/socket0 (0.00s)\n    --- PASS: TestParseScopeFromName/socket12 (0.00s)\n    --- PASS: TestParseScopeFromName/core0 (0.00s)\n    --- PASS: TestParseScopeFromName/core127 (0.00s)\n    --- PASS: TestParseScopeFromName/cpu0 (0.00s)\n    --- PASS: TestParseScopeFromName/hwthread5 (0.00s)\n    --- PASS: TestParseScopeFromName/memoryDomain0 (0.00s)\n    --- PASS: TestParseScopeFromName/accelerator0 (0.00s)\n    --- PASS: TestParseScopeFromName/unknown (0.00s)\n    --- PASS: TestParseScopeFromName/socketX (0.00s)\n=== RUN   TestFlattenCheckpointFile\n--- PASS: TestFlattenCheckpointFile (0.00s)\n=== RUN   TestParquetArchiveRoundtrip\n    parquetArchive_test.go:219: Parquet file size: 2060 bytes for 9 rows\n--- PASS: TestParquetArchiveRoundtrip (0.01s)\n=== RUN   TestLoadCheckpointFileFromDisk_JSON\n--- PASS: TestLoadCheckpointFileFromDisk_JSON (0.00s)\n=== RUN   TestBuildScopeQueries\n=== RUN   TestBuildScopeQueries/HWThread->HWThread\n=== RUN   TestBuildScopeQueries/Core->Core\n=== RUN   TestBuildScopeQueries/Socket->Socket\n=== RUN   TestBuildScopeQueries/MemoryDomain->MemoryDomain\n=== RUN   TestBuildScopeQueries/Node->Node\n=== RUN   TestBuildScopeQueries/Accelerator->Accelerator\n=== RUN   TestBuildScopeQueries/HWThread->Core\n=== RUN   TestBuildScopeQueries/HWThread->Socket\n=== RUN   TestBuildScopeQueries/HWThread->Node\n=== RUN   TestBuildScopeQueries/Core->Socket\n=== RUN   TestBuildScopeQueries/Core->Node\n=== RUN   TestBuildScopeQueries/Socket->Node\n=== RUN   TestBuildScopeQueries/MemoryDomain->Node\n=== RUN   TestBuildScopeQueries/MemoryDomain->Socket\n=== RUN   TestBuildScopeQueries/Accelerator->Node\n=== RUN   TestBuildScopeQueries/Accelerator->Core_(exception)\n--- PASS: TestBuildScopeQueries (0.00s)\n    --- PASS: TestBuildScopeQueries/HWThread->HWThread (0.00s)\n    --- PASS: TestBuildScopeQueries/Core->Core (0.00s)\n    --- PASS: TestBuildScopeQueries/Socket->Socket (0.00s)\n    --- PASS: TestBuildScopeQueries/MemoryDomain->MemoryDomain (0.00s)\n    --- PASS: TestBuildScopeQueries/Node->Node (0.00s)\n    --- PASS: TestBuildScopeQueries/Accelerator->Accelerator (0.00s)\n    --- PASS: TestBuildScopeQueries/HWThread->Core (0.00s)\n    --- PASS: TestBuildScopeQueries/HWThread->Socket (0.00s)\n    --- PASS: TestBuildScopeQueries/HWThread->Node (0.00s)\n    --- PASS: TestBuildScopeQueries/Core->Socket (0.00s)\n    --- PASS: TestBuildScopeQueries/Core->Node (0.00s)\n    --- PASS: TestBuildScopeQueries/Socket->Node (0.00s)\n    --- PASS: TestBuildScopeQueries/MemoryDomain->Node (0.00s)\n    --- PASS: TestBuildScopeQueries/MemoryDomain->Socket (0.00s)\n    --- PASS: TestBuildScopeQueries/Accelerator->Node (0.00s)\n    --- PASS: TestBuildScopeQueries/Accelerator->Core_(exception) (0.00s)\n=== RUN   TestBuildScopeQueries_UnhandledCase\n--- PASS: TestBuildScopeQueries_UnhandledCase (0.00s)\n=== RUN   TestIntToStringSlice\n--- PASS: TestIntToStringSlice (0.00s)\n=== RUN   TestSanitizeStats\n--- PASS: TestSanitizeStats (0.00s)\n=== RUN   TestNodeToNodeQuery\n--- PASS: TestNodeToNodeQuery (0.00s)\nPASS\nok  \tgithub.com/ClusterCockpit/cc-backend/pkg/metricstore\t0.496s","is_error":false}]},"uuid":"0793b054-000b-44b7-98f9-e872d7349770","timestamp":"2026-03-17T18:15:40.202Z","toolUseResult":{"stdout":"=== RUN   TestBufferPoolGetReuse\n--- PASS: TestBufferPoolGetReuse (0.00s)\n=== RUN   TestBufferPoolClear\n--- PASS: TestBufferPoolClear (0.00s)\n=== RUN   TestBufferEndFirstWrite\n--- PASS: TestBufferEndFirstWrite (0.00s)\n=== RUN   TestBufferWriteNaNFill\n--- PASS: TestBufferWriteNaNFill (0.00s)\n=== RUN   TestBufferWriteCapacityOverflow\n--- PASS: TestBufferWriteCapacityOverflow (0.00s)\n=== RUN   TestBufferWriteOverwrite\n--- PASS: TestBufferWriteOverwrite (0.00s)\n=== RUN   TestBufferReadBeforeFirstWrite\n--- PASS: TestBufferReadBeforeFirstWrite (0.00s)\n=== RUN   TestBufferReadChain\n--- PASS: TestBufferReadChain (0.00s)\n=== RUN   TestBufferReadIdxAfterSwitch\n--- PASS: TestBufferReadIdxAfterSwitch (0.00s)\n=== RUN   TestBufferReadNaNValues\n--- PASS: TestBufferReadNaNValues (0.00s)\n=== RUN   TestBufferReadAccumulation\n--- PASS: TestBufferReadAccumulation (0.00s)\n=== RUN   TestBufferFreeRetention\n--- PASS: TestBufferFreeRetention (0.00s)\n=== RUN   TestBufferFreeAll\n--- PASS: TestBufferFreeAll (0.00s)\n=== RUN   TestForceFreeOldestPoolReturn\n--- PASS: TestForceFreeOldestPoolReturn (0.00s)\n=== RUN   TestForceFreeOldestSingleBuffer\n--- PASS: TestForceFreeOldestSingleBuffer (0.00s)\n=== RUN   TestBufferIterFromToOrder\n--- PASS: TestBufferIterFromToOrder (0.00s)\n=== RUN   TestBufferIterFromToFiltered\n--- PASS: TestBufferIterFromToFiltered (0.00s)\n=== RUN   TestBufferIterFromToNilBuffer\n--- PASS: TestBufferIterFromToNilBuffer (0.00s)\n=== RUN   TestBufferCount\n--- PASS: TestBufferCount (0.00s)\n=== RUN   TestAssignAggregationStrategy\n=== RUN   TestAssignAggregationStrategy/empty_string\n=== RUN   TestAssignAggregationStrategy/sum\n=== RUN   TestAssignAggregationStrategy/avg\n=== RUN   TestAssignAggregationStrategy/invalid\n--- PASS: TestAssignAggregationStrategy (0.00s)\n    --- PASS: TestAssignAggregationStrategy/empty_string (0.00s)\n    --- PASS: TestAssignAggregationStrategy/sum (0.00s)\n    --- PASS: TestAssignAggregationStrategy/avg (0.00s)\n    --- PASS: TestAssignAggregationStrategy/invalid (0.00s)\n=== RUN   TestBufferWrite\n--- PASS: TestBufferWrite (0.00s)\n=== RUN   TestBufferRead\n--- PASS: TestBufferRead (0.00s)\n=== RUN   TestHealthCheck\n=== RUN   TestHealthCheck/all_metrics_healthy\n=== RUN   TestHealthCheck/some_metrics_stale\n<7>[DEBUG]    2026/03/17 19:15:40 [metricstore] HealthCheck: node node002degraded metrics:[cpu_user cpu_system]\n=== RUN   TestHealthCheck/some_metrics_missing\n<7>[DEBUG]    2026/03/17 19:15:40 [metricstore] HealthCheck: node node003missing metrics:[cpu_user cpu_system]\n=== RUN   TestHealthCheck/node_not_found\n=== RUN   TestHealthCheck/all_metrics_stale\n<7>[DEBUG]    2026/03/17 19:15:40 [metricstore] HealthCheck: node node005degraded metrics:[load mem_used cpu_user cpu_system]\n=== RUN   TestHealthCheck/multiple_nodes_mixed_states\n<7>[DEBUG]    2026/03/17 19:15:40 [metricstore] HealthCheck: node node005degraded metrics:[load mem_used]\n--- PASS: TestHealthCheck (0.00s)\n    --- PASS: TestHealthCheck/all_metrics_healthy (0.00s)\n    --- PASS: TestHealthCheck/some_metrics_stale (0.00s)\n    --- PASS: TestHealthCheck/some_metrics_missing (0.00s)\n    --- PASS: TestHealthCheck/node_not_found (0.00s)\n    --- PASS: TestHealthCheck/all_metrics_stale (0.00s)\n    --- PASS: TestHealthCheck/multiple_nodes_mixed_states (0.00s)\n=== RUN   TestGetHealthyMetrics\n=== RUN   TestGetHealthyMetrics/mixed_health_states\n=== RUN   TestGetHealthyMetrics/node_not_found\n=== RUN   TestGetHealthyMetrics/check_only_healthy_metric\n--- PASS: TestGetHealthyMetrics (0.00s)\n    --- PASS: TestGetHealthyMetrics/mixed_health_states (0.00s)\n    --- PASS: TestGetHealthyMetrics/node_not_found (0.00s)\n    --- PASS: TestGetHealthyMetrics/check_only_healthy_metric (0.00s)\n=== RUN   TestBufferHealthChecks\n=== RUN   TestBufferHealthChecks/nil_buffer\n=== RUN   TestBufferHealthChecks/empty_buffer\n=== RUN   TestBufferHealthChecks/healthy_buffer_with_recent_data\n=== RUN   TestBufferHealthChecks/stale_buffer_beyond_threshold\n=== RUN   TestBufferHealthChecks/buffer_at_threshold_boundary\n--- PASS: TestBufferHealthChecks (0.00s)\n    --- PASS: TestBufferHealthChecks/nil_buffer (0.00s)\n    --- PASS: TestBufferHealthChecks/empty_buffer (0.00s)\n    --- PASS: TestBufferHealthChecks/healthy_buffer_with_recent_data (0.00s)\n    --- PASS: TestBufferHealthChecks/stale_buffer_beyond_threshold (0.00s)\n    --- PASS: TestBufferHealthChecks/buffer_at_threshold_boundary (0.00s)\n=== RUN   TestBufferPoolClean\n--- PASS: TestBufferPoolClean (0.00s)\n=== RUN   TestParseScopeFromName\n=== RUN   TestParseScopeFromName/socket0\n=== RUN   TestParseScopeFromName/socket12\n=== RUN   TestParseScopeFromName/core0\n=== RUN   TestParseScopeFromName/core127\n=== RUN   TestParseScopeFromName/cpu0\n=== RUN   TestParseScopeFromName/hwthread5\n=== RUN   TestParseScopeFromName/memoryDomain0\n=== RUN   TestParseScopeFromName/accelerator0\n=== RUN   TestParseScopeFromName/unknown\n=== RUN   TestParseScopeFromName/socketX\n--- PASS: TestParseScopeFromName (0.00s)\n    --- PASS: TestParseScopeFromName/socket0 (0.00s)\n    --- PASS: TestParseScopeFromName/socket12 (0.00s)\n    --- PASS: TestParseScopeFromName/core0 (0.00s)\n    --- PASS: TestParseScopeFromName/core127 (0.00s)\n    --- PASS: TestParseScopeFromName/cpu0 (0.00s)\n    --- PASS: TestParseScopeFromName/hwthread5 (0.00s)\n    --- PASS: TestParseScopeFromName/memoryDomain0 (0.00s)\n    --- PASS: TestParseScopeFromName/accelerator0 (0.00s)\n    --- PASS: TestParseScopeFromName/unknown (0.00s)\n    --- PASS: TestParseScopeFromName/socketX (0.00s)\n=== RUN   TestFlattenCheckpointFile\n--- PASS: TestFlattenCheckpointFile (0.00s)\n=== RUN   TestParquetArchiveRoundtrip\n    parquetArchive_test.go:219: Parquet file size: 2060 bytes for 9 rows\n--- PASS: TestParquetArchiveRoundtrip (0.01s)\n=== RUN   TestLoadCheckpointFileFromDisk_JSON\n--- PASS: TestLoadCheckpointFileFromDisk_JSON (0.00s)\n=== RUN   TestBuildScopeQueries\n=== RUN   TestBuildScopeQueries/HWThread->HWThread\n=== RUN   TestBuildScopeQueries/Core->Core\n=== RUN   TestBuildScopeQueries/Socket->Socket\n=== RUN   TestBuildScopeQueries/MemoryDomain->MemoryDomain\n=== RUN   TestBuildScopeQueries/Node->Node\n=== RUN   TestBuildScopeQueries/Accelerator->Accelerator\n=== RUN   TestBuildScopeQueries/HWThread->Core\n=== RUN   TestBuildScopeQueries/HWThread->Socket\n=== RUN   TestBuildScopeQueries/HWThread->Node\n=== RUN   TestBuildScopeQueries/Core->Socket\n=== RUN   TestBuildScopeQueries/Core->Node\n=== RUN   TestBuildScopeQueries/Socket->Node\n=== RUN   TestBuildScopeQueries/MemoryDomain->Node\n=== RUN   TestBuildScopeQueries/MemoryDomain->Socket\n=== RUN   TestBuildScopeQueries/Accelerator->Node\n=== RUN   TestBuildScopeQueries/Accelerator->Core_(exception)\n--- PASS: TestBuildScopeQueries (0.00s)\n    --- PASS: TestBuildScopeQueries/HWThread->HWThread (0.00s)\n    --- PASS: TestBuildScopeQueries/Core->Core (0.00s)\n    --- PASS: TestBuildScopeQueries/Socket->Socket (0.00s)\n    --- PASS: TestBuildScopeQueries/MemoryDomain->MemoryDomain (0.00s)\n    --- PASS: TestBuildScopeQueries/Node->Node (0.00s)\n    --- PASS: TestBuildScopeQueries/Accelerator->Accelerator (0.00s)\n    --- PASS: TestBuildScopeQueries/HWThread->Core (0.00s)\n    --- PASS: TestBuildScopeQueries/HWThread->Socket (0.00s)\n    --- PASS: TestBuildScopeQueries/HWThread->Node (0.00s)\n    --- PASS: TestBuildScopeQueries/Core->Socket (0.00s)\n    --- PASS: TestBuildScopeQueries/Core->Node (0.00s)\n    --- PASS: TestBuildScopeQueries/Socket->Node (0.00s)\n    --- PASS: TestBuildScopeQueries/MemoryDomain->Node (0.00s)\n    --- PASS: TestBuildScopeQueries/MemoryDomain->Socket (0.00s)\n    --- PASS: TestBuildScopeQueries/Accelerator->Node (0.00s)\n    --- PASS: TestBuildScopeQueries/Accelerator->Core_(exception) (0.00s)\n=== RUN   TestBuildScopeQueries_UnhandledCase\n--- PASS: TestBuildScopeQueries_UnhandledCase (0.00s)\n=== RUN   TestIntToStringSlice\n--- PASS: TestIntToStringSlice (0.00s)\n=== RUN   TestSanitizeStats\n--- PASS: TestSanitizeStats (0.00s)\n=== RUN   TestNodeToNodeQuery\n--- PASS: TestNodeToNodeQuery (0.00s)\nPASS\nok  \tgithub.com/ClusterCockpit/cc-backend/pkg/metricstore\t0.496s","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"442aef62-2c74-45f6-8858-79e6b9da2e9f","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
+{"parentUuid":"0793b054-000b-44b7-98f9-e872d7349770","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0141zKHqUaRE5ZzPG2dBZwmN","type":"message","role":"assistant","content":[{"type":"text","text":"All tests pass and `go vet` is clean. Here's a summary of the changes:\n\n### Changes Made\n\n**`pkg/metricstore/parquetArchive.go`**:\n- Added `parquetArchiveWriter` struct with `newParquetArchiveWriter()`, `WriteHostRows()`, and `Close()` methods — streams rows incrementally instead of buffering everything\n- Removed `writeParquetArchive()` which buffered all rows + used `SortingWriterConfig` (the double-buffering culprit)\n- Each `WriteHostRows()` call sorts in-place and flushes, creating one row group per host\n- Added `estimateRowCount()` to pre-allocate the per-host rows slice\n- Added `sortParquetRows()` helper\n- `archiveCheckpointsToParquet()` now pre-allocates rows using `estimateRowCount()`\n\n**`pkg/metricstore/archive.go`**:\n- `archiveCheckpoints()` now opens a `parquetArchiveWriter` before consuming results\n- Each host's rows are written and flushed immediately via `WriteHostRows()`, then the rows are GC'd\n- Only one host's data lives in memory at a time instead of all hosts\n- Empty file cleanup if no data was written\n\n**`pkg/metricstore/parquetArchive_test.go`**:\n- Updated `TestParquetArchiveRoundtrip` to use the new streaming writer API\n\n### Memory Impact\n- **Before**: ~3x raw data (all rows + sorting writer copy + append overhead) = 68GB+\n- **After**: One host at a time (~16MB) + parquet page buffer (~1MB) = ~17MB peak"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3493,"cache_read_input_tokens":35270,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3493},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ97Gpd8w1yQHh3JNoHUn","type":"assistant","uuid":"cb8ce8a5-8c94-457e-92f2-d57e5590614f","timestamp":"2026-03-17T18:15:51.621Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"2430868c-673d-479b-8db3-af90c85f7921","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015JSipUSkSXoxHkMsaNbZTP","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package metricstore\n     7→\n     8→import (\n     9→\t\"bufio\"\n    10→\t\"encoding/binary\"\n    11→\t\"encoding/json\"\n    12→\t\"fmt\"\n    13→\t\"os\"\n    14→\t\"path/filepath\"\n    15→\t\"sort\"\n    16→\n    17→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    18→\tpq \"github.com/parquet-go/parquet-go\"\n    19→)\n    20→\n    21→// ParquetMetricRow is the long-format schema for archived metric data.\n    22→// One row per (host, metric, scope, scope_id, timestamp) data point.\n    23→// Sorted by (cluster, hostname, metric, timestamp) for optimal compression.\n    24→type ParquetMetricRow struct {\n    25→\tCluster   string  `parquet:\"cluster\"`\n    26→\tHostname  string  `parquet:\"hostname\"`\n    27→\tMetric    string  `parquet:\"metric\"`\n    28→\tScope     string  `parquet:\"scope\"`\n    29→\tScopeID   string  `parquet:\"scope_id\"`\n    30→\tTimestamp int64   `parquet:\"timestamp\"`\n    31→\tFrequency int64   `parquet:\"frequency\"`\n    32→\tValue     float32 `parquet:\"value\"`\n    33→}\n    34→\n    35→// flattenCheckpointFile recursively converts a CheckpointFile tree into Parquet rows.\n    36→// The scope path is built from the hierarchy: host level is \"node\", then child names\n    37→// map to scope/scope_id (e.g., \"socket0\" → scope=\"socket\", scope_id=\"0\").\n    38→func flattenCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string, rows []ParquetMetricRow) []ParquetMetricRow {\n    39→\tfor metricName, cm := range cf.Metrics {\n    40→\t\tts := cm.Start\n    41→\t\tfor _, v := range cm.Data {\n    42→\t\t\tif !v.IsNaN() {\n    43→\t\t\t\trows = append(rows, ParquetMetricRow{\n    44→\t\t\t\t\tCluster:   cluster,\n    45→\t\t\t\t\tHostname:  hostname,\n    46→\t\t\t\t\tMetric:    metricName,\n    47→\t\t\t\t\tScope:     scope,\n    48→\t\t\t\t\tScopeID:   scopeID,\n    49→\t\t\t\t\tTimestamp: ts,\n    50→\t\t\t\t\tFrequency: cm.Frequency,\n    51→\t\t\t\t\tValue:     float32(v),\n    52→\t\t\t\t})\n    53→\t\t\t}\n    54→\t\t\tts += cm.Frequency\n    55→\t\t}\n    56→\t}\n    57→\n    58→\tfor childName, childCf := range cf.Children {\n    59→\t\tchildScope, childScopeID := parseScopeFromName(childName)\n    60→\t\trows = flattenCheckpointFile(childCf, cluster, hostname, childScope, childScopeID, rows)\n    61→\t}\n    62→\n    63→\treturn rows\n    64→}\n    65→\n    66→// parseScopeFromName infers scope and scope_id from a child level name.\n    67→// Examples: \"socket0\" → (\"socket\", \"0\"), \"core12\" → (\"core\", \"12\"),\n    68→// \"a0\" (accelerator) → (\"accelerator\", \"0\").\n    69→// If the name doesn't match known patterns, it's used as-is for scope with empty scope_id.\n    70→func parseScopeFromName(name string) (string, string) {\n    71→\tprefixes := []struct {\n    72→\t\tprefix string\n    73→\t\tscope  string\n    74→\t}{\n    75→\t\t{\"socket\", \"socket\"},\n    76→\t\t{\"memoryDomain\", \"memoryDomain\"},\n    77→\t\t{\"core\", \"core\"},\n    78→\t\t{\"hwthread\", \"hwthread\"},\n    79→\t\t{\"cpu\", \"hwthread\"},\n    80→\t\t{\"accelerator\", \"accelerator\"},\n    81→\t}\n    82→\n    83→\tfor _, p := range prefixes {\n    84→\t\tif len(name) > len(p.prefix) && name[:len(p.prefix)] == p.prefix {\n    85→\t\t\tid := name[len(p.prefix):]\n    86→\t\t\tif len(id) > 0 && id[0] >= '0' && id[0] <= '9' {\n    87→\t\t\t\treturn p.scope, id\n    88→\t\t\t}\n    89→\t\t}\n    90→\t}\n    91→\n    92→\treturn name, \"\"\n    93→}\n    94→\n    95→// parquetArchiveWriter supports incremental writes to a Parquet file.\n    96→// Each call to WriteHostRows writes one row group (typically one host's data),\n    97→// avoiding accumulation of all rows in memory.\n    98→type parquetArchiveWriter struct {\n    99→\twriter *pq.GenericWriter[ParquetMetricRow]\n   100→\tbw     *bufio.Writer\n   101→\tf      *os.File\n   102→\tcount  int\n   103→}\n   104→\n   105→// newParquetArchiveWriter creates a streaming Parquet writer with Zstd compression.\n   106→func newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error) {\n   107→\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n   108→\t\treturn nil, fmt.Errorf(\"creating archive directory: %w\", err)\n   109→\t}\n   110→\n   111→\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n   112→\tif err != nil {\n   113→\t\treturn nil, fmt.Errorf(\"creating parquet file: %w\", err)\n   114→\t}\n   115→\n   116→\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n   117→\n   118→\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n   119→\t\tpq.Compression(&pq.Zstd),\n   120→\t)\n   121→\n   122→\treturn &parquetArchiveWriter{writer: writer, bw: bw, f: f}, nil\n   123→}\n   124→\n   125→// WriteHostRows sorts rows by (metric, timestamp) in-place, writes them,\n   126→// and flushes to create a separate row group.\n   127→func (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error {\n   128→\tsort.Slice(rows, func(i, j int) bool {\n   129→\t\tif rows[i].Metric != rows[j].Metric {\n   130→\t\t\treturn rows[i].Metric < rows[j].Metric\n   131→\t\t}\n   132→\t\treturn rows[i].Timestamp < rows[j].Timestamp\n   133→\t})\n   134→\n   135→\tif _, err := w.writer.Write(rows); err != nil {\n   136→\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n   137→\t}\n   138→\n   139→\tif err := w.writer.Flush(); err != nil {\n   140→\t\treturn fmt.Errorf(\"flushing parquet row group: %w\", err)\n   141→\t}\n   142→\n   143→\tw.count += len(rows)\n   144→\treturn nil\n   145→}\n   146→\n   147→// Close finalises the Parquet file (footer, buffered I/O, file handle).\n   148→func (w *parquetArchiveWriter) Close() error {\n   149→\tif err := w.writer.Close(); err != nil {\n   150→\t\tw.f.Close()\n   151→\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n   152→\t}\n   153→\n   154→\tif err := w.bw.Flush(); err != nil {\n   155→\t\tw.f.Close()\n   156→\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n   157→\t}\n   158→\n   159→\treturn w.f.Close()\n   160→}\n   161→\n   162→// sortParquetRows sorts rows by (metric, timestamp) in-place.\n   163→func sortParquetRows(rows []ParquetMetricRow) {\n   164→\tsort.Slice(rows, func(i, j int) bool {\n   165→\t\tif rows[i].Metric != rows[j].Metric {\n   166→\t\t\treturn rows[i].Metric < rows[j].Metric\n   167→\t\t}\n   168→\t\treturn rows[i].Timestamp < rows[j].Timestamp\n   169→\t})\n   170→}\n   171→\n   172→// loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns\n   173→// a CheckpointFile. Used by the Parquet archiver to read checkpoint data\n   174→// before converting it to Parquet format.\n   175→func loadCheckpointFileFromDisk(filename string) (*CheckpointFile, error) {\n   176→\tf, err := os.Open(filename)\n   177→\tif err != nil {\n   178→\t\treturn nil, err\n   179→\t}\n   180→\tdefer f.Close()\n   181→\n   182→\text := filepath.Ext(filename)\n   183→\tswitch ext {\n   184→\tcase \".json\":\n   185→\t\tcf := &CheckpointFile{}\n   186→\t\tbr := bufio.NewReader(f)\n   187→\t\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n   188→\t\t\treturn nil, fmt.Errorf(\"decoding JSON checkpoint %s: %w\", filename, err)\n   189→\t\t}\n   190→\t\treturn cf, nil\n   191→\n   192→\tcase \".bin\":\n   193→\t\tbr := bufio.NewReader(f)\n   194→\t\tvar magic uint32\n   195→\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n   196→\t\t\treturn nil, fmt.Errorf(\"reading magic from %s: %w\", filename, err)\n   197→\t\t}\n   198→\t\tif magic != snapFileMagic {\n   199→\t\t\treturn nil, fmt.Errorf(\"invalid snapshot magic in %s: 0x%08X\", filename, magic)\n   200→\t\t}\n   201→\t\tvar fileFrom, fileTo int64\n   202→\t\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n   203→\t\t\treturn nil, fmt.Errorf(\"reading from-timestamp from %s: %w\", filename, err)\n   204→\t\t}\n   205→\t\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n   206→\t\t\treturn nil, fmt.Errorf(\"reading to-timestamp from %s: %w\", filename, err)\n   207→\t\t}\n   208→\t\tcf, err := readBinaryLevel(br)\n   209→\t\tif err != nil {\n   210→\t\t\treturn nil, fmt.Errorf(\"reading binary level from %s: %w\", filename, err)\n   211→\t\t}\n   212→\t\tcf.From = fileFrom\n   213→\t\tcf.To = fileTo\n   214→\t\treturn cf, nil\n   215→\n   216→\tdefault:\n   217→\t\treturn nil, fmt.Errorf(\"unsupported checkpoint extension: %s\", ext)\n   218→\t}\n   219→}\n   220→\n   221→// estimateRowCount estimates the number of Parquet rows a CheckpointFile will produce.\n   222→// Used for pre-allocating the rows slice to avoid repeated append doubling.\n   223→func estimateRowCount(cf *CheckpointFile) int {\n   224→\tn := 0\n   225→\tfor _, cm := range cf.Metrics {\n   226→\t\tn += len(cm.Data)\n   227→\t}\n   228→\tfor _, child := range cf.Children {\n   229→\t\tn += estimateRowCount(child)\n   230→\t}\n   231→\treturn n\n   232→}\n   233→\n   234→// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n   235→// converts them to Parquet rows. Returns the rows and filenames that were processed.\n   236→func archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n   237→\tentries, err := os.ReadDir(dir)\n   238→\tif err != nil {\n   239→\t\treturn nil, nil, err\n   240→\t}\n   241→\n   242→\tfiles, err := findFiles(entries, from, false)\n   243→\tif err != nil {\n   244→\t\treturn nil, nil, err\n   245→\t}\n   246→\n   247→\tif len(files) == 0 {\n   248→\t\treturn nil, nil, nil\n   249→\t}\n   250→\n   251→\t// First pass: load checkpoints and estimate total rows for pre-allocation.\n   252→\ttype loaded struct {\n   253→\t\tcf       *CheckpointFile\n   254→\t\tfilename string\n   255→\t}\n   256→\tvar checkpoints []loaded\n   257→\ttotalEstimate := 0\n   258→\n   259→\tfor _, checkpoint := range files {\n   260→\t\tfilename := filepath.Join(dir, checkpoint)\n   261→\t\tcf, err := loadCheckpointFileFromDisk(filename)\n   262→\t\tif err != nil {\n   263→\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n   264→\t\t\tcontinue\n   265→\t\t}\n   266→\t\ttotalEstimate += estimateRowCount(cf)\n   267→\t\tcheckpoints = append(checkpoints, loaded{cf: cf, filename: checkpoint})\n   268→\t}\n   269→\n   270→\tif len(checkpoints) == 0 {\n   271→\t\treturn nil, nil, nil\n   272→\t}\n   273→\n   274→\trows := make([]ParquetMetricRow, 0, totalEstimate)\n   275→\tprocessedFiles := make([]string, 0, len(checkpoints))\n   276→\n   277→\tfor _, cp := range checkpoints {\n   278→\t\trows = flattenCheckpointFile(cp.cf, cluster, host, \"node\", \"\", rows)\n   279→\t\tprocessedFiles = append(processedFiles, cp.filename)\n   280→\t}\n   281→\n   282→\treturn rows, processedFiles, nil\n   283→}\n   284→"}]},"uuid":"0b8f00ca-48da-4b9c-a3e9-265029b39781","timestamp":"2026-03-18T04:02:36.395Z"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"3fbe0910-10c9-48c1-9b6b-7929c4eba811","timestamp":"2026-03-18T04:02:36.577Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"912f12d8-7474-41e1-8f48-739a31adb3d8","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LEnHcZQkV5PNC7XPaU6Pgb","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package parquet\n     7→\n     8→import (\n     9→\t\"bytes\"\n    10→\t\"encoding/json\"\n    11→\t\"fmt\"\n    12→\t\"path\"\n    13→\t\"time\"\n    14→\n    15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    16→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    17→\tpq \"github.com/parquet-go/parquet-go\"\n    18→)\n    19→\n    20→// ParquetWriter batches ParquetJobRows and flushes them to a target\n    21→// when the estimated size exceeds maxSizeBytes.\n    22→type ParquetWriter struct {\n    23→\ttarget       ParquetTarget\n    24→\tmaxSizeBytes int64\n    25→\trows         []ParquetJobRow\n    26→\tcurrentSize  int64\n    27→\tfileCounter  int\n    28→\tdatePrefix   string\n    29→}\n    30→\n    31→// NewParquetWriter creates a new writer that flushes batches to the given target.\n    32→// maxSizeMB sets the approximate maximum size per parquet file in megabytes.\n    33→func NewParquetWriter(target ParquetTarget, maxSizeMB int) *ParquetWriter {\n    34→\treturn &ParquetWriter{\n    35→\t\ttarget:       target,\n    36→\t\tmaxSizeBytes: int64(maxSizeMB) * 1024 * 1024,\n    37→\t\tdatePrefix:   time.Now().Format(\"2006-01-02\"),\n    38→\t}\n    39→}\n    40→\n    41→// AddJob adds a row to the current batch. If the estimated batch size\n    42→// exceeds the configured maximum, the batch is flushed to the target first.\n    43→func (pw *ParquetWriter) AddJob(row ParquetJobRow) error {\n    44→\trowSize := estimateRowSize(&row)\n    45→\n    46→\tif pw.currentSize+rowSize > pw.maxSizeBytes && len(pw.rows) > 0 {\n    47→\t\tif err := pw.Flush(); err != nil {\n    48→\t\t\treturn err\n    49→\t\t}\n    50→\t}\n    51→\n    52→\tpw.rows = append(pw.rows, row)\n    53→\tpw.currentSize += rowSize\n    54→\treturn nil\n    55→}\n    56→\n    57→// Flush writes the current batch to a parquet file on the target.\n    58→func (pw *ParquetWriter) Flush() error {\n    59→\tif len(pw.rows) == 0 {\n    60→\t\treturn nil\n    61→\t}\n    62→\n    63→\tpw.fileCounter++\n    64→\tfileName := fmt.Sprintf(\"cc-archive-%s-%03d.parquet\", pw.datePrefix, pw.fileCounter)\n    65→\n    66→\tdata, err := writeParquetBytes(pw.rows)\n    67→\tif err != nil {\n    68→\t\treturn fmt.Errorf(\"write parquet buffer: %w\", err)\n    69→\t}\n    70→\n    71→\tif err := pw.target.WriteFile(fileName, data); err != nil {\n    72→\t\treturn fmt.Errorf(\"write parquet file %q: %w\", fileName, err)\n    73→\t}\n    74→\n    75→\tcclog.Infof(\"Parquet retention: wrote %s (%d jobs, %d bytes)\", fileName, len(pw.rows), len(data))\n    76→\tpw.rows = pw.rows[:0]\n    77→\tpw.currentSize = 0\n    78→\treturn nil\n    79→}\n    80→\n    81→// Close flushes any remaining rows and finalizes the writer.\n    82→func (pw *ParquetWriter) Close() error {\n    83→\treturn pw.Flush()\n    84→}\n    85→\n    86→func writeParquetBytes(rows []ParquetJobRow) ([]byte, error) {\n    87→\tvar buf bytes.Buffer\n    88→\n    89→\twriter := pq.NewGenericWriter[ParquetJobRow](&buf,\n    90→\t\tpq.Compression(&pq.Zstd),\n    91→\t\tpq.SortingWriterConfig(pq.SortingColumns(\n    92→\t\t\tpq.Ascending(\"sub_cluster\"),\n    93→\t\t\tpq.Ascending(\"project\"),\n    94→\t\t\tpq.Ascending(\"start_time\"),\n    95→\t\t)),\n    96→\t)\n    97→\n    98→\tif _, err := writer.Write(rows); err != nil {\n    99→\t\treturn nil, err\n   100→\t}\n   101→\tif err := writer.Close(); err != nil {\n   102→\t\treturn nil, err\n   103→\t}\n   104→\n   105→\treturn buf.Bytes(), nil\n   106→}\n   107→\n   108→func estimateRowSize(row *ParquetJobRow) int64 {\n   109→\t// Fixed fields: ~100 bytes for numeric fields + strings estimate\n   110→\tsize := int64(200)\n   111→\tsize += int64(len(row.Cluster) + len(row.SubCluster) + len(row.Partition) +\n   112→\t\tlen(row.Project) + len(row.User) + len(row.State))\n   113→\tsize += int64(len(row.ResourcesJSON))\n   114→\tsize += int64(len(row.StatisticsJSON))\n   115→\tsize += int64(len(row.TagsJSON))\n   116→\tsize += int64(len(row.MetaDataJSON))\n   117→\tsize += int64(len(row.FootprintJSON))\n   118→\tsize += int64(len(row.EnergyFootJSON))\n   119→\tsize += int64(len(row.MetricDataGz))\n   120→\treturn size\n   121→}\n   122→\n   123→// prefixedTarget wraps a ParquetTarget and prepends a path prefix to all file names.\n   124→type prefixedTarget struct {\n   125→\tinner  ParquetTarget\n   126→\tprefix string\n   127→}\n   128→\n   129→func (pt *prefixedTarget) WriteFile(name string, data []byte) error {\n   130→\treturn pt.inner.WriteFile(path.Join(pt.prefix, name), data)\n   131→}\n   132→\n   133→// ClusterAwareParquetWriter organizes Parquet output by cluster.\n   134→// Each cluster gets its own subdirectory with a cluster.json config file.\n   135→type ClusterAwareParquetWriter struct {\n   136→\ttarget       ParquetTarget\n   137→\tmaxSizeMB    int\n   138→\twriters      map[string]*ParquetWriter\n   139→\tclusterCfgs  map[string]*schema.Cluster\n   140→}\n   141→\n   142→// NewClusterAwareParquetWriter creates a writer that routes jobs to per-cluster ParquetWriters.\n   143→func NewClusterAwareParquetWriter(target ParquetTarget, maxSizeMB int) *ClusterAwareParquetWriter {\n   144→\treturn &ClusterAwareParquetWriter{\n   145→\t\ttarget:      target,\n   146→\t\tmaxSizeMB:   maxSizeMB,\n   147→\t\twriters:     make(map[string]*ParquetWriter),\n   148→\t\tclusterCfgs: make(map[string]*schema.Cluster),\n   149→\t}\n   150→}\n   151→\n   152→// SetClusterConfig stores a cluster configuration to be written as cluster.json on Close.\n   153→func (cw *ClusterAwareParquetWriter) SetClusterConfig(name string, cfg *schema.Cluster) {\n   154→\tcw.clusterCfgs[name] = cfg\n   155→}\n   156→\n   157→// AddJob routes the job row to the appropriate per-cluster writer.\n   158→func (cw *ClusterAwareParquetWriter) AddJob(row ParquetJobRow) error {\n   159→\tcluster := row.Cluster\n   160→\tpw, ok := cw.writers[cluster]\n   161→\tif !ok {\n   162→\t\tpw = NewParquetWriter(&prefixedTarget{inner: cw.target, prefix: cluster}, cw.maxSizeMB)\n   163→\t\tcw.writers[cluster] = pw\n   164→\t}\n   165→\treturn pw.AddJob(row)\n   166→}\n   167→\n   168→// Close writes cluster.json files and flushes all per-cluster writers.\n   169→func (cw *ClusterAwareParquetWriter) Close() error {\n   170→\tfor name, cfg := range cw.clusterCfgs {\n   171→\t\tdata, err := json.MarshalIndent(cfg, \"\", \"  \")\n   172→\t\tif err != nil {\n   173→\t\t\treturn fmt.Errorf(\"marshal cluster config %q: %w\", name, err)\n   174→\t\t}\n   175→\t\tif err := cw.target.WriteFile(path.Join(name, \"cluster.json\"), data); err != nil {\n   176→\t\t\treturn fmt.Errorf(\"write cluster.json for %q: %w\", name, err)\n   177→\t\t}\n   178→\t}\n   179→\n   180→\tfor cluster, pw := range cw.writers {\n   181→\t\tif err := pw.Close(); err != nil {\n   182→\t\t\treturn fmt.Errorf(\"close writer for cluster %q: %w\", cluster, err)\n   183→\t\t}\n   184→\t}\n   185→\treturn nil\n   186→}\n   187→"}]},"uuid":"1112516e-76fc-42b2-9709-8c6466b84dd7","timestamp":"2026-03-18T04:02:36.604Z"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"dbd83243-3f80-41dd-a55a-79a9516936db","timestamp":"2026-03-18T04:02:36.837Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"5143d6be-379b-4abf-a157-a66bd9488b93","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GNs92J7Re4V1XiEhUdVFzR","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package parquet\n     7→\n     8→import (\n     9→\t\"bytes\"\n    10→\t\"fmt\"\n    11→\t\"time\"\n    12→\n    13→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    14→\tpq \"github.com/parquet-go/parquet-go\"\n    15→)\n    16→\n    17→// NodeStateParquetWriter batches ParquetNodeStateRows and flushes them to a target\n    18→// when the estimated size exceeds maxSizeBytes.\n    19→type NodeStateParquetWriter struct {\n    20→\ttarget       ParquetTarget\n    21→\tmaxSizeBytes int64\n    22→\trows         []ParquetNodeStateRow\n    23→\tcurrentSize  int64\n    24→\tfileCounter  int\n    25→\tdatePrefix   string\n    26→}\n    27→\n    28→// NewNodeStateParquetWriter creates a new writer for node state parquet files.\n    29→func NewNodeStateParquetWriter(target ParquetTarget, maxSizeMB int) *NodeStateParquetWriter {\n    30→\treturn &NodeStateParquetWriter{\n    31→\t\ttarget:       target,\n    32→\t\tmaxSizeBytes: int64(maxSizeMB) * 1024 * 1024,\n    33→\t\tdatePrefix:   time.Now().Format(\"2006-01-02\"),\n    34→\t}\n    35→}\n    36→\n    37→// AddRow adds a row to the current batch. If the estimated batch size\n    38→// exceeds the configured maximum, the batch is flushed first.\n    39→func (pw *NodeStateParquetWriter) AddRow(row ParquetNodeStateRow) error {\n    40→\trowSize := estimateNodeStateRowSize(&row)\n    41→\n    42→\tif pw.currentSize+rowSize > pw.maxSizeBytes && len(pw.rows) > 0 {\n    43→\t\tif err := pw.Flush(); err != nil {\n    44→\t\t\treturn err\n    45→\t\t}\n    46→\t}\n    47→\n    48→\tpw.rows = append(pw.rows, row)\n    49→\tpw.currentSize += rowSize\n    50→\treturn nil\n    51→}\n    52→\n    53→// Flush writes the current batch to a parquet file on the target.\n    54→func (pw *NodeStateParquetWriter) Flush() error {\n    55→\tif len(pw.rows) == 0 {\n    56→\t\treturn nil\n    57→\t}\n    58→\n    59→\tpw.fileCounter++\n    60→\tfileName := fmt.Sprintf(\"cc-nodestate-%s-%03d.parquet\", pw.datePrefix, pw.fileCounter)\n    61→\n    62→\tdata, err := writeNodeStateParquetBytes(pw.rows)\n    63→\tif err != nil {\n    64→\t\treturn fmt.Errorf(\"write parquet buffer: %w\", err)\n    65→\t}\n    66→\n    67→\tif err := pw.target.WriteFile(fileName, data); err != nil {\n    68→\t\treturn fmt.Errorf(\"write parquet file %q: %w\", fileName, err)\n    69→\t}\n    70→\n    71→\tcclog.Infof(\"NodeState retention: wrote %s (%d rows, %d bytes)\", fileName, len(pw.rows), len(data))\n    72→\tpw.rows = pw.rows[:0]\n    73→\tpw.currentSize = 0\n    74→\treturn nil\n    75→}\n    76→\n    77→// Close flushes any remaining rows and finalizes the writer.\n    78→func (pw *NodeStateParquetWriter) Close() error {\n    79→\treturn pw.Flush()\n    80→}\n    81→\n    82→func writeNodeStateParquetBytes(rows []ParquetNodeStateRow) ([]byte, error) {\n    83→\tvar buf bytes.Buffer\n    84→\n    85→\twriter := pq.NewGenericWriter[ParquetNodeStateRow](&buf,\n    86→\t\tpq.Compression(&pq.Zstd),\n    87→\t\tpq.SortingWriterConfig(pq.SortingColumns(\n    88→\t\t\tpq.Ascending(\"cluster\"),\n    89→\t\t\tpq.Ascending(\"subcluster\"),\n    90→\t\t\tpq.Ascending(\"hostname\"),\n    91→\t\t\tpq.Ascending(\"time_stamp\"),\n    92→\t\t)),\n    93→\t)\n    94→\n    95→\tif _, err := writer.Write(rows); err != nil {\n    96→\t\treturn nil, err\n    97→\t}\n    98→\tif err := writer.Close(); err != nil {\n    99→\t\treturn nil, err\n   100→\t}\n   101→\n   102→\treturn buf.Bytes(), nil\n   103→}\n   104→\n   105→func estimateNodeStateRowSize(row *ParquetNodeStateRow) int64 {\n   106→\tsize := int64(100) // fixed numeric fields\n   107→\tsize += int64(len(row.NodeState) + len(row.HealthState) + len(row.HealthMetrics))\n   108→\tsize += int64(len(row.Hostname) + len(row.Cluster) + len(row.SubCluster))\n   109→\treturn size\n   110→}\n   111→"}]},"uuid":"5139460a-6d14-44e6-83e4-ce582368071b","timestamp":"2026-03-18T04:02:36.857Z"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"f80b2e80-bf73-4f8f-bf82-05cad2523928","timestamp":"2026-03-18T04:02:37.006Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"e994be56-621a-458a-9404-8649dd75d275","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019UUYjj6J4QJS6RmAgcJTSo","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"encoding/json\"\n    10→\t\"fmt\"\n    11→\t\"os\"\n    12→\t\"path/filepath\"\n    13→\t\"strconv\"\n    14→\t\"strings\"\n    15→\t\"time\"\n    16→\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\tpqarchive \"github.com/ClusterCockpit/cc-backend/pkg/archive/parquet\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→\t\"github.com/go-co-op/gocron/v2\"\n    22→)\n    23→\n    24→// createParquetTarget creates a ParquetTarget (file or S3) from the retention config.\n    25→func createParquetTarget(cfg Retention) (pqarchive.ParquetTarget, error) {\n    26→\tswitch cfg.TargetKind {\n    27→\tcase \"s3\":\n    28→\t\treturn pqarchive.NewS3Target(pqarchive.S3TargetConfig{\n    29→\t\t\tEndpoint:     cfg.TargetEndpoint,\n    30→\t\t\tBucket:       cfg.TargetBucket,\n    31→\t\t\tAccessKey:    cfg.TargetAccessKey,\n    32→\t\t\tSecretKey:    cfg.TargetSecretKey,\n    33→\t\t\tRegion:       cfg.TargetRegion,\n    34→\t\t\tUsePathStyle: cfg.TargetUsePathStyle,\n    35→\t\t})\n    36→\tdefault:\n    37→\t\treturn pqarchive.NewFileTarget(cfg.TargetPath)\n    38→\t}\n    39→}\n    40→\n    41→// createTargetBackend creates a secondary archive backend (file or S3) for JSON copy/move.\n    42→func createTargetBackend(cfg Retention) (archive.ArchiveBackend, error) {\n    43→\tvar raw json.RawMessage\n    44→\tvar err error\n    45→\n    46→\tswitch cfg.TargetKind {\n    47→\tcase \"s3\":\n    48→\t\traw, err = json.Marshal(map[string]any{\n    49→\t\t\t\"kind\":           \"s3\",\n    50→\t\t\t\"endpoint\":       cfg.TargetEndpoint,\n    51→\t\t\t\"bucket\":         cfg.TargetBucket,\n    52→\t\t\t\"access-key\":     cfg.TargetAccessKey,\n    53→\t\t\t\"secret-key\":     cfg.TargetSecretKey,\n    54→\t\t\t\"region\":         cfg.TargetRegion,\n    55→\t\t\t\"use-path-style\": cfg.TargetUsePathStyle,\n    56→\t\t})\n    57→\tdefault:\n    58→\t\traw, err = json.Marshal(map[string]string{\n    59→\t\t\t\"kind\": \"file\",\n    60→\t\t\t\"path\": cfg.TargetPath,\n    61→\t\t})\n    62→\t}\n    63→\tif err != nil {\n    64→\t\treturn nil, fmt.Errorf(\"marshal target config: %w\", err)\n    65→\t}\n    66→\treturn archive.InitBackend(raw)\n    67→}\n    68→\n    69→// transferJobsJSON copies job data from source archive to target backend in JSON format.\n    70→func transferJobsJSON(jobs []*schema.Job, src archive.ArchiveBackend, dst archive.ArchiveBackend) error {\n    71→\t// Transfer cluster configs for all clusters referenced by jobs\n    72→\tclustersDone := make(map[string]bool)\n    73→\tfor _, job := range jobs {\n    74→\t\tif clustersDone[job.Cluster] {\n    75→\t\t\tcontinue\n    76→\t\t}\n    77→\t\tclusterCfg, err := src.LoadClusterCfg(job.Cluster)\n    78→\t\tif err != nil {\n    79→\t\t\tcclog.Warnf(\"Retention: load cluster config %q: %v\", job.Cluster, err)\n    80→\t\t} else {\n    81→\t\t\tif err := dst.StoreClusterCfg(job.Cluster, clusterCfg); err != nil {\n    82→\t\t\t\tcclog.Warnf(\"Retention: store cluster config %q: %v\", job.Cluster, err)\n    83→\t\t\t}\n    84→\t\t}\n    85→\t\tclustersDone[job.Cluster] = true\n    86→\t}\n    87→\n    88→\tfor _, job := range jobs {\n    89→\t\tmeta, err := src.LoadJobMeta(job)\n    90→\t\tif err != nil {\n    91→\t\t\tcclog.Warnf(\"Retention: load meta for job %d: %v\", job.JobID, err)\n    92→\t\t\tcontinue\n    93→\t\t}\n    94→\t\tdata, err := src.LoadJobData(job)\n    95→\t\tif err != nil {\n    96→\t\t\tcclog.Warnf(\"Retention: load data for job %d: %v\", job.JobID, err)\n    97→\t\t\tcontinue\n    98→\t\t}\n    99→\t\tif err := dst.ImportJob(meta, &data); err != nil {\n   100→\t\t\tcclog.Warnf(\"Retention: import job %d: %v\", job.JobID, err)\n   101→\t\t\tcontinue\n   102→\t\t}\n   103→\t}\n   104→\treturn nil\n   105→}\n   106→\n   107→// transferJobsParquet converts jobs to Parquet format, organized by cluster.\n   108→func transferJobsParquet(jobs []*schema.Job, src archive.ArchiveBackend, target pqarchive.ParquetTarget, maxSizeMB int) error {\n   109→\tcw := pqarchive.NewClusterAwareParquetWriter(target, maxSizeMB)\n   110→\n   111→\t// Set cluster configs for all clusters referenced by jobs\n   112→\tclustersDone := make(map[string]bool)\n   113→\tfor _, job := range jobs {\n   114→\t\tif clustersDone[job.Cluster] {\n   115→\t\t\tcontinue\n   116→\t\t}\n   117→\t\tclusterCfg, err := src.LoadClusterCfg(job.Cluster)\n   118→\t\tif err != nil {\n   119→\t\t\tcclog.Warnf(\"Retention: load cluster config %q: %v\", job.Cluster, err)\n   120→\t\t} else {\n   121→\t\t\tcw.SetClusterConfig(job.Cluster, clusterCfg)\n   122→\t\t}\n   123→\t\tclustersDone[job.Cluster] = true\n   124→\t}\n   125→\n   126→\tfor _, job := range jobs {\n   127→\t\tmeta, err := src.LoadJobMeta(job)\n   128→\t\tif err != nil {\n   129→\t\t\tcclog.Warnf(\"Retention: load meta for job %d: %v\", job.JobID, err)\n   130→\t\t\tcontinue\n   131→\t\t}\n   132→\t\tdata, err := src.LoadJobData(job)\n   133→\t\tif err != nil {\n   134→\t\t\tcclog.Warnf(\"Retention: load data for job %d: %v\", job.JobID, err)\n   135→\t\t\tcontinue\n   136→\t\t}\n   137→\t\trow, err := pqarchive.JobToParquetRow(meta, &data)\n   138→\t\tif err != nil {\n   139→\t\t\tcclog.Warnf(\"Retention: convert job %d: %v\", job.JobID, err)\n   140→\t\t\tcontinue\n   141→\t\t}\n   142→\t\tif err := cw.AddJob(*row); err != nil {\n   143→\t\t\tcclog.Errorf(\"Retention: add job %d to writer: %v\", job.JobID, err)\n   144→\t\t\tcontinue\n   145→\t\t}\n   146→\t}\n   147→\n   148→\treturn cw.Close()\n   149→}\n   150→\n   151→// cleanupAfterTransfer removes jobs from archive and optionally from DB.\n   152→func cleanupAfterTransfer(jobs []*schema.Job, startTime int64, includeDB bool, omitTagged string) {\n   153→\tarchive.GetHandle().CleanUp(jobs)\n   154→\n   155→\tif includeDB {\n   156→\t\tcnt, err := jobRepo.DeleteJobsBefore(startTime, omitTagged)\n   157→\t\tif err != nil {\n   158→\t\t\tcclog.Errorf(\"Retention: delete jobs from db: %v\", err)\n   159→\t\t} else {\n   160→\t\t\tcclog.Infof(\"Retention: removed %d jobs from db\", cnt)\n   161→\t\t}\n   162→\t\tif err = jobRepo.Optimize(); err != nil {\n   163→\t\t\tcclog.Errorf(\"Retention: db optimization error: %v\", err)\n   164→\t\t}\n   165→\t}\n   166→}\n   167→\n   168→// readCopyMarker reads the last-processed timestamp from a copy marker file.\n   169→func readCopyMarker(cfg Retention) int64 {\n   170→\tvar data []byte\n   171→\tvar err error\n   172→\n   173→\tswitch cfg.TargetKind {\n   174→\tcase \"s3\":\n   175→\t\t// For S3 we store the marker locally alongside the config\n   176→\t\tdata, err = os.ReadFile(copyMarkerPath(cfg))\n   177→\tdefault:\n   178→\t\tdata, err = os.ReadFile(filepath.Join(cfg.TargetPath, \".copy-marker\"))\n   179→\t}\n   180→\tif err != nil {\n   181→\t\treturn 0\n   182→\t}\n   183→\tts, err := strconv.ParseInt(strings.TrimSpace(string(data)), 10, 64)\n   184→\tif err != nil {\n   185→\t\treturn 0\n   186→\t}\n   187→\treturn ts\n   188→}\n   189→\n   190→// writeCopyMarker writes the last-processed timestamp to a copy marker file.\n   191→func writeCopyMarker(cfg Retention, ts int64) {\n   192→\tcontent := []byte(strconv.FormatInt(ts, 10))\n   193→\tvar err error\n   194→\n   195→\tswitch cfg.TargetKind {\n   196→\tcase \"s3\":\n   197→\t\terr = os.WriteFile(copyMarkerPath(cfg), content, 0o640)\n   198→\tdefault:\n   199→\t\terr = os.WriteFile(filepath.Join(cfg.TargetPath, \".copy-marker\"), content, 0o640)\n   200→\t}\n   201→\tif err != nil {\n   202→\t\tcclog.Warnf(\"Retention: write copy marker: %v\", err)\n   203→\t}\n   204→}\n   205→\n   206→func copyMarkerPath(cfg Retention) string {\n   207→\t// For S3 targets, store the marker in a local temp-style path derived from the bucket name\n   208→\treturn filepath.Join(os.TempDir(), fmt.Sprintf(\"cc-copy-marker-%s\", cfg.TargetBucket))\n   209→}\n   210→\n   211→func RegisterRetentionDeleteService(cfg Retention) {\n   212→\tcclog.Info(\"Register retention delete service\")\n   213→\n   214→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(3, 0, 0))),\n   215→\t\tgocron.NewTask(\n   216→\t\t\tfunc() {\n   217→\t\t\t\tstartTime := time.Now().Unix() - int64(cfg.Age*24*3600)\n   218→\t\t\t\tjobs, err := jobRepo.FindJobsBetween(0, startTime, cfg.OmitTagged)\n   219→\t\t\t\tif err != nil {\n   220→\t\t\t\t\tcclog.Warnf(\"Retention delete: error finding jobs: %v\", err)\n   221→\t\t\t\t\treturn\n   222→\t\t\t\t}\n   223→\t\t\t\tif len(jobs) == 0 {\n   224→\t\t\t\t\treturn\n   225→\t\t\t\t}\n   226→\n   227→\t\t\t\tcclog.Infof(\"Retention delete: processing %d jobs\", len(jobs))\n   228→\t\t\t\tcleanupAfterTransfer(jobs, startTime, cfg.IncludeDB, cfg.OmitTagged)\n   229→\t\t\t}))\n   230→}\n   231→\n   232→func RegisterRetentionCopyService(cfg Retention) {\n   233→\tcclog.Infof(\"Register retention copy service (format=%s, target=%s)\", cfg.Format, cfg.TargetKind)\n   234→\n   235→\tmaxFileSizeMB := cfg.MaxFileSizeMB\n   236→\tif maxFileSizeMB <= 0 {\n   237→\t\tmaxFileSizeMB = 512\n   238→\t}\n   239→\n   240→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(4, 0, 0))),\n   241→\t\tgocron.NewTask(\n   242→\t\t\tfunc() {\n   243→\t\t\t\tcutoff := time.Now().Unix() - int64(cfg.Age*24*3600)\n   244→\t\t\t\tlastProcessed := readCopyMarker(cfg)\n   245→\n   246→\t\t\t\tjobs, err := jobRepo.FindJobsBetween(lastProcessed, cutoff, cfg.OmitTagged)\n   247→\t\t\t\tif err != nil {\n   248→\t\t\t\t\tcclog.Warnf(\"Retention copy: error finding jobs: %v\", err)\n   249→\t\t\t\t\treturn\n   250→\t\t\t\t}\n   251→\t\t\t\tif len(jobs) == 0 {\n   252→\t\t\t\t\treturn\n   253→\t\t\t\t}\n   254→\n   255→\t\t\t\tcclog.Infof(\"Retention copy: processing %d jobs\", len(jobs))\n   256→\t\t\t\tar := archive.GetHandle()\n   257→\n   258→\t\t\t\tswitch cfg.Format {\n   259→\t\t\t\tcase \"parquet\":\n   260→\t\t\t\t\ttarget, err := createParquetTarget(cfg)\n   261→\t\t\t\t\tif err != nil {\n   262→\t\t\t\t\t\tcclog.Errorf(\"Retention copy: create parquet target: %v\", err)\n   263→\t\t\t\t\t\treturn\n   264→\t\t\t\t\t}\n   265→\t\t\t\t\tif err := transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\n   266→\t\t\t\t\t\tcclog.Errorf(\"Retention copy: parquet transfer: %v\", err)\n   267→\t\t\t\t\t\treturn\n   268→\t\t\t\t\t}\n   269→\t\t\t\tdefault: // json\n   270→\t\t\t\t\tdst, err := createTargetBackend(cfg)\n   271→\t\t\t\t\tif err != nil {\n   272→\t\t\t\t\t\tcclog.Errorf(\"Retention copy: create target backend: %v\", err)\n   273→\t\t\t\t\t\treturn\n   274→\t\t\t\t\t}\n   275→\t\t\t\t\tif err := transferJobsJSON(jobs, ar, dst); err != nil {\n   276→\t\t\t\t\t\tcclog.Errorf(\"Retention copy: json transfer: %v\", err)\n   277→\t\t\t\t\t\treturn\n   278→\t\t\t\t\t}\n   279→\t\t\t\t}\n   280→\n   281→\t\t\t\twriteCopyMarker(cfg, cutoff)\n   282→\t\t\t}))\n   283→}\n   284→\n   285→func RegisterRetentionMoveService(cfg Retention) {\n   286→\tcclog.Infof(\"Register retention move service (format=%s, target=%s)\", cfg.Format, cfg.TargetKind)\n   287→\n   288→\tmaxFileSizeMB := cfg.MaxFileSizeMB\n   289→\tif maxFileSizeMB <= 0 {\n   290→\t\tmaxFileSizeMB = 512\n   291→\t}\n   292→\n   293→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(5, 0, 0))),\n   294→\t\tgocron.NewTask(\n   295→\t\t\tfunc() {\n   296→\t\t\t\tstartTime := time.Now().Unix() - int64(cfg.Age*24*3600)\n   297→\t\t\t\tjobs, err := jobRepo.FindJobsBetween(0, startTime, cfg.OmitTagged)\n   298→\t\t\t\tif err != nil {\n   299→\t\t\t\t\tcclog.Warnf(\"Retention move: error finding jobs: %v\", err)\n   300→\t\t\t\t\treturn\n   301→\t\t\t\t}\n   302→\t\t\t\tif len(jobs) == 0 {\n   303→\t\t\t\t\treturn\n   304→\t\t\t\t}\n   305→\n   306→\t\t\t\tcclog.Infof(\"Retention move: processing %d jobs\", len(jobs))\n   307→\t\t\t\tar := archive.GetHandle()\n   308→\n   309→\t\t\t\tswitch cfg.Format {\n   310→\t\t\t\tcase \"parquet\":\n   311→\t\t\t\t\ttarget, err := createParquetTarget(cfg)\n   312→\t\t\t\t\tif err != nil {\n   313→\t\t\t\t\t\tcclog.Errorf(\"Retention move: create parquet target: %v\", err)\n   314→\t\t\t\t\t\treturn\n   315→\t\t\t\t\t}\n   316→\t\t\t\t\tif err := transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\n   317→\t\t\t\t\t\tcclog.Errorf(\"Retention move: parquet transfer: %v\", err)\n   318→\t\t\t\t\t\treturn\n   319→\t\t\t\t\t}\n   320→\t\t\t\tdefault: // json\n   321→\t\t\t\t\tdst, err := createTargetBackend(cfg)\n   322→\t\t\t\t\tif err != nil {\n   323→\t\t\t\t\t\tcclog.Errorf(\"Retention move: create target backend: %v\", err)\n   324→\t\t\t\t\t\treturn\n   325→\t\t\t\t\t}\n   326→\t\t\t\t\tif err := transferJobsJSON(jobs, ar, dst); err != nil {\n   327→\t\t\t\t\t\tcclog.Errorf(\"Retention move: json transfer: %v\", err)\n   328→\t\t\t\t\t\treturn\n   329→\t\t\t\t\t}\n   330→\t\t\t\t}\n   331→\n   332→\t\t\t\tcleanupAfterTransfer(jobs, startTime, cfg.IncludeDB, cfg.OmitTagged)\n   333→\t\t\t}))\n   334→}\n   335→"}]},"uuid":"9c55ee61-e630-466b-8ade-4bc796ede8ec","timestamp":"2026-03-18T04:02:39.550Z"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"5fcacfb4-089a-4e6c-aa2c-47de7b6497db","timestamp":"2026-03-18T04:02:39.550Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"021c6590-b1e0-4880-a2ac-ed0a85ce8b0b","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01N4KBTu1ntjU3HDvgueA7nE","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"time\"\n    10→\n    11→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    12→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    13→\tpqarchive \"github.com/ClusterCockpit/cc-backend/pkg/archive/parquet\"\n    14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    15→\t\"github.com/go-co-op/gocron/v2\"\n    16→)\n    17→\n    18→func RegisterNodeStateRetentionDeleteService(ageHours int) {\n    19→\tcclog.Info(\"Register node state retention delete service\")\n    20→\n    21→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(2, 0, 0))),\n    22→\t\tgocron.NewTask(\n    23→\t\t\tfunc() {\n    24→\t\t\t\tcutoff := time.Now().Unix() - int64(ageHours*3600)\n    25→\t\t\t\tnodeRepo := repository.GetNodeRepository()\n    26→\t\t\t\tcnt, err := nodeRepo.DeleteNodeStatesBefore(cutoff)\n    27→\t\t\t\tif err != nil {\n    28→\t\t\t\t\tcclog.Errorf(\"NodeState retention: error deleting old rows: %v\", err)\n    29→\t\t\t\t} else if cnt > 0 {\n    30→\t\t\t\t\tcclog.Infof(\"NodeState retention: deleted %d old rows\", cnt)\n    31→\t\t\t\t}\n    32→\t\t\t}))\n    33→}\n    34→\n    35→func RegisterNodeStateRetentionMoveService(cfg *config.NodeStateRetention) {\n    36→\tcclog.Info(\"Register node state retention move service\")\n    37→\n    38→\tmaxFileSizeMB := cfg.MaxFileSizeMB\n    39→\tif maxFileSizeMB <= 0 {\n    40→\t\tmaxFileSizeMB = 128\n    41→\t}\n    42→\n    43→\tageHours := cfg.Age\n    44→\tif ageHours <= 0 {\n    45→\t\tageHours = 24\n    46→\t}\n    47→\n    48→\tvar target pqarchive.ParquetTarget\n    49→\tvar err error\n    50→\n    51→\tswitch cfg.TargetKind {\n    52→\tcase \"s3\":\n    53→\t\ttarget, err = pqarchive.NewS3Target(pqarchive.S3TargetConfig{\n    54→\t\t\tEndpoint:     cfg.TargetEndpoint,\n    55→\t\t\tBucket:       cfg.TargetBucket,\n    56→\t\t\tAccessKey:    cfg.TargetAccessKey,\n    57→\t\t\tSecretKey:    cfg.TargetSecretKey,\n    58→\t\t\tRegion:       cfg.TargetRegion,\n    59→\t\t\tUsePathStyle: cfg.TargetUsePathStyle,\n    60→\t\t})\n    61→\tdefault:\n    62→\t\ttarget, err = pqarchive.NewFileTarget(cfg.TargetPath)\n    63→\t}\n    64→\n    65→\tif err != nil {\n    66→\t\tcclog.Errorf(\"NodeState move retention: failed to create target: %v\", err)\n    67→\t\treturn\n    68→\t}\n    69→\n    70→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(2, 30, 0))),\n    71→\t\tgocron.NewTask(\n    72→\t\t\tfunc() {\n    73→\t\t\t\tcutoff := time.Now().Unix() - int64(ageHours*3600)\n    74→\t\t\t\tnodeRepo := repository.GetNodeRepository()\n    75→\n    76→\t\t\t\trows, err := nodeRepo.FindNodeStatesBefore(cutoff)\n    77→\t\t\t\tif err != nil {\n    78→\t\t\t\t\tcclog.Errorf(\"NodeState move retention: error finding rows: %v\", err)\n    79→\t\t\t\t\treturn\n    80→\t\t\t\t}\n    81→\t\t\t\tif len(rows) == 0 {\n    82→\t\t\t\t\treturn\n    83→\t\t\t\t}\n    84→\n    85→\t\t\t\tcclog.Infof(\"NodeState move retention: archiving %d rows\", len(rows))\n    86→\t\t\t\tpw := pqarchive.NewNodeStateParquetWriter(target, maxFileSizeMB)\n    87→\n    88→\t\t\t\tfor _, ns := range rows {\n    89→\t\t\t\t\trow := pqarchive.ParquetNodeStateRow{\n    90→\t\t\t\t\t\tTimeStamp:       ns.TimeStamp,\n    91→\t\t\t\t\t\tNodeState:       ns.NodeState,\n    92→\t\t\t\t\t\tHealthState:     ns.HealthState,\n    93→\t\t\t\t\t\tHealthMetrics:   ns.HealthMetrics,\n    94→\t\t\t\t\t\tCpusAllocated:   int32(ns.CpusAllocated),\n    95→\t\t\t\t\t\tMemoryAllocated: ns.MemoryAllocated,\n    96→\t\t\t\t\t\tGpusAllocated:   int32(ns.GpusAllocated),\n    97→\t\t\t\t\t\tJobsRunning:     int32(ns.JobsRunning),\n    98→\t\t\t\t\t\tHostname:        ns.Hostname,\n    99→\t\t\t\t\t\tCluster:         ns.Cluster,\n   100→\t\t\t\t\t\tSubCluster:      ns.SubCluster,\n   101→\t\t\t\t\t}\n   102→\t\t\t\t\tif err := pw.AddRow(row); err != nil {\n   103→\t\t\t\t\t\tcclog.Errorf(\"NodeState move retention: add row: %v\", err)\n   104→\t\t\t\t\t\tcontinue\n   105→\t\t\t\t\t}\n   106→\t\t\t\t}\n   107→\n   108→\t\t\t\tif err := pw.Close(); err != nil {\n   109→\t\t\t\t\tcclog.Errorf(\"NodeState move retention: close writer: %v\", err)\n   110→\t\t\t\t\treturn\n   111→\t\t\t\t}\n   112→\n   113→\t\t\t\tcnt, err := nodeRepo.DeleteNodeStatesBefore(cutoff)\n   114→\t\t\t\tif err != nil {\n   115→\t\t\t\t\tcclog.Errorf(\"NodeState move retention: error deleting rows: %v\", err)\n   116→\t\t\t\t} else {\n   117→\t\t\t\t\tcclog.Infof(\"NodeState move retention: deleted %d rows from db\", cnt)\n   118→\t\t\t\t}\n   119→\t\t\t}))\n   120→}\n   121→"}]},"uuid":"ef5b2bb2-c6c2-4ad6-8de9-f17ad72570d6","timestamp":"2026-03-18T04:02:39.609Z"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"16ae8feb-f59c-44fd-b541-6d2b7553859c","timestamp":"2026-03-18T04:02:39.610Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
+{"parentUuid":"16ae8feb-f59c-44fd-b541-6d2b7553859c","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-18T04:02:39.755Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01AGhRwzpLPizPqmLZJmbUqk","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01B3qau1at87zKUnxbhjYBLe","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/archive.go","limit":300},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":8899,"cache_read_input_tokens":20542,"cache_creation":{"ephemeral_5m_input_tokens":8899,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ9t2qQ8AnpMjGLdf6L1a","uuid":"a785207e-c3ee-4e7b-884e-ac18e3bc423e"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"4371f6de-6875-46f4-9168-dc00b1848578","timestamp":"2026-03-18T04:02:39.755Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
+{"parentUuid":"4371f6de-6875-46f4-9168-dc00b1848578","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01B3qau1at87zKUnxbhjYBLe","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package metricstore\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"errors\"\n    11→\t\"fmt\"\n    12→\t\"os\"\n    13→\t\"path/filepath\"\n    14→\t\"sync\"\n    15→\t\"sync/atomic\"\n    16→\t\"time\"\n    17→\n    18→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    19→)\n    20→\n    21→// Worker for either Archiving or Deleting files\n    22→\n    23→func CleanUp(wg *sync.WaitGroup, ctx context.Context) {\n    24→\tif Keys.Cleanup.Mode == \"archive\" {\n    25→\t\t// Run as Archiver\n    26→\t\tcleanUpWorker(wg, ctx,\n    27→\t\t\tKeys.RetentionInMemory,\n    28→\t\t\t\"archiving\",\n    29→\t\t\tKeys.Cleanup.RootDir,\n    30→\t\t\tfalse,\n    31→\t\t)\n    32→\t} else {\n    33→\t\t// Run as Deleter\n    34→\t\tcleanUpWorker(wg, ctx,\n    35→\t\t\tKeys.RetentionInMemory,\n    36→\t\t\t\"deleting\",\n    37→\t\t\t\"\",\n    38→\t\t\ttrue,\n    39→\t\t)\n    40→\t}\n    41→}\n    42→\n    43→// cleanUpWorker takes simple values to configure what it does\n    44→func cleanUpWorker(wg *sync.WaitGroup, ctx context.Context, interval string, mode string, cleanupDir string, delete bool) {\n    45→\twg.Go(func() {\n    46→\n    47→\t\td, err := time.ParseDuration(interval)\n    48→\t\tif err != nil {\n    49→\t\t\tcclog.Fatalf(\"[METRICSTORE]> error parsing %s interval duration: %v\\n\", mode, err)\n    50→\t\t}\n    51→\t\tif d <= 0 {\n    52→\t\t\treturn\n    53→\t\t}\n    54→\n    55→\t\tticker := time.NewTicker(d)\n    56→\t\tdefer ticker.Stop()\n    57→\n    58→\t\tfor {\n    59→\t\t\tselect {\n    60→\t\t\tcase <-ctx.Done():\n    61→\t\t\t\treturn\n    62→\t\t\tcase <-ticker.C:\n    63→\t\t\t\tt := time.Now().Add(-d)\n    64→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start %s checkpoints (older than %s)...\", mode, t.Format(time.RFC3339))\n    65→\n    66→\t\t\t\tn, err := CleanupCheckpoints(Keys.Checkpoints.RootDir, cleanupDir, t.Unix(), delete)\n    67→\n    68→\t\t\t\tif err != nil {\n    69→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> %s failed: %s\", mode, err.Error())\n    70→\t\t\t\t} else {\n    71→\t\t\t\t\tif delete {\n    72→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoints deleted\", n)\n    73→\t\t\t\t\t} else {\n    74→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files archived to parquet\", n)\n    75→\t\t\t\t\t}\n    76→\t\t\t\t}\n    77→\t\t\t}\n    78→\t\t}\n    79→\t})\n    80→}\n    81→\n    82→var ErrNoNewArchiveData error = errors.New(\"all data already archived\")\n    83→\n    84→// CleanupCheckpoints deletes or archives all checkpoint files older than `from`.\n    85→// When archiving, consolidates all hosts per cluster into a single Parquet file.\n    86→func CleanupCheckpoints(checkpointsDir, cleanupDir string, from int64, deleteInstead bool) (int, error) {\n    87→\tif deleteInstead {\n    88→\t\treturn deleteCheckpoints(checkpointsDir, from)\n    89→\t}\n    90→\n    91→\treturn archiveCheckpoints(checkpointsDir, cleanupDir, from)\n    92→}\n    93→\n    94→// deleteCheckpoints removes checkpoint files older than `from` across all clusters/hosts.\n    95→func deleteCheckpoints(checkpointsDir string, from int64) (int, error) {\n    96→\tentries1, err := os.ReadDir(checkpointsDir)\n    97→\tif err != nil {\n    98→\t\treturn 0, err\n    99→\t}\n   100→\n   101→\ttype workItem struct {\n   102→\t\tdir            string\n   103→\t\tcluster, host  string\n   104→\t}\n   105→\n   106→\tvar wg sync.WaitGroup\n   107→\tn, errs := int32(0), int32(0)\n   108→\twork := make(chan workItem, Keys.NumWorkers)\n   109→\n   110→\twg.Add(Keys.NumWorkers)\n   111→\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n   112→\t\tgo func() {\n   113→\t\t\tdefer wg.Done()\n   114→\t\t\tfor item := range work {\n   115→\t\t\t\tentries, err := os.ReadDir(item.dir)\n   116→\t\t\t\tif err != nil {\n   117→\t\t\t\t\tcclog.Errorf(\"error reading %s/%s: %s\", item.cluster, item.host, err.Error())\n   118→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   119→\t\t\t\t\tcontinue\n   120→\t\t\t\t}\n   121→\n   122→\t\t\t\tfiles, err := findFiles(entries, from, false)\n   123→\t\t\t\tif err != nil {\n   124→\t\t\t\t\tcclog.Errorf(\"error finding files in %s/%s: %s\", item.cluster, item.host, err.Error())\n   125→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   126→\t\t\t\t\tcontinue\n   127→\t\t\t\t}\n   128→\n   129→\t\t\t\tfor _, checkpoint := range files {\n   130→\t\t\t\t\tif err := os.Remove(filepath.Join(item.dir, checkpoint)); err != nil {\n   131→\t\t\t\t\t\tcclog.Errorf(\"error deleting %s/%s/%s: %s\", item.cluster, item.host, checkpoint, err.Error())\n   132→\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   133→\t\t\t\t\t} else {\n   134→\t\t\t\t\t\tatomic.AddInt32(&n, 1)\n   135→\t\t\t\t\t}\n   136→\t\t\t\t}\n   137→\t\t\t}\n   138→\t\t}()\n   139→\t}\n   140→\n   141→\tfor _, de1 := range entries1 {\n   142→\t\tentries2, e := os.ReadDir(filepath.Join(checkpointsDir, de1.Name()))\n   143→\t\tif e != nil {\n   144→\t\t\terr = e\n   145→\t\t\tcontinue\n   146→\t\t}\n   147→\n   148→\t\tfor _, de2 := range entries2 {\n   149→\t\t\twork <- workItem{\n   150→\t\t\t\tdir:     filepath.Join(checkpointsDir, de1.Name(), de2.Name()),\n   151→\t\t\t\tcluster: de1.Name(),\n   152→\t\t\t\thost:    de2.Name(),\n   153→\t\t\t}\n   154→\t\t}\n   155→\t}\n   156→\n   157→\tclose(work)\n   158→\twg.Wait()\n   159→\n   160→\tif err != nil {\n   161→\t\treturn int(n), err\n   162→\t}\n   163→\tif errs > 0 {\n   164→\t\treturn int(n), fmt.Errorf(\"%d errors happened while deleting (%d successes)\", errs, n)\n   165→\t}\n   166→\treturn int(n), nil\n   167→}\n   168→\n   169→// archiveCheckpoints archives checkpoint files to Parquet format.\n   170→// Produces one Parquet file per cluster: <cleanupDir>/<cluster>/<timestamp>.parquet\n   171→// Each host's rows are written as a separate row group to avoid accumulating\n   172→// all data in memory at once.\n   173→func archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n   174→\tclusterEntries, err := os.ReadDir(checkpointsDir)\n   175→\tif err != nil {\n   176→\t\treturn 0, err\n   177→\t}\n   178→\n   179→\ttotalFiles := 0\n   180→\n   181→\tfor _, clusterEntry := range clusterEntries {\n   182→\t\tif !clusterEntry.IsDir() {\n   183→\t\t\tcontinue\n   184→\t\t}\n   185→\n   186→\t\tcluster := clusterEntry.Name()\n   187→\t\thostEntries, err := os.ReadDir(filepath.Join(checkpointsDir, cluster))\n   188→\t\tif err != nil {\n   189→\t\t\treturn totalFiles, err\n   190→\t\t}\n   191→\n   192→\t\t// Stream per-host rows to parquet writer via worker pool\n   193→\t\ttype hostResult struct {\n   194→\t\t\trows  []ParquetMetricRow\n   195→\t\t\tfiles []string // checkpoint filenames to delete after successful write\n   196→\t\t\tdir   string   // checkpoint directory for this host\n   197→\t\t}\n   198→\n   199→\t\tresults := make(chan hostResult, len(hostEntries))\n   200→\t\twork := make(chan struct {\n   201→\t\t\tdir, host string\n   202→\t\t}, Keys.NumWorkers)\n   203→\n   204→\t\tvar wg sync.WaitGroup\n   205→\t\terrs := int32(0)\n   206→\n   207→\t\twg.Add(Keys.NumWorkers)\n   208→\t\tfor w := 0; w < Keys.NumWorkers; w++ {\n   209→\t\t\tgo func() {\n   210→\t\t\t\tdefer wg.Done()\n   211→\t\t\t\tfor item := range work {\n   212→\t\t\t\t\trows, files, err := archiveCheckpointsToParquet(item.dir, cluster, item.host, from)\n   213→\t\t\t\t\tif err != nil {\n   214→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())\n   215→\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   216→\t\t\t\t\t\tcontinue\n   217→\t\t\t\t\t}\n   218→\t\t\t\t\tif len(rows) > 0 {\n   219→\t\t\t\t\t\tresults <- hostResult{rows: rows, files: files, dir: item.dir}\n   220→\t\t\t\t\t}\n   221→\t\t\t\t}\n   222→\t\t\t}()\n   223→\t\t}\n   224→\n   225→\t\tgo func() {\n   226→\t\t\tfor _, hostEntry := range hostEntries {\n   227→\t\t\t\tif !hostEntry.IsDir() {\n   228→\t\t\t\t\tcontinue\n   229→\t\t\t\t}\n   230→\t\t\t\tdir := filepath.Join(checkpointsDir, cluster, hostEntry.Name())\n   231→\t\t\t\twork <- struct {\n   232→\t\t\t\t\tdir, host string\n   233→\t\t\t\t}{dir: dir, host: hostEntry.Name()}\n   234→\t\t\t}\n   235→\t\t\tclose(work)\n   236→\t\t\twg.Wait()\n   237→\t\t\tclose(results)\n   238→\t\t}()\n   239→\n   240→\t\t// Open streaming writer and write each host's rows as a row group\n   241→\t\tparquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))\n   242→\t\twriter, err := newParquetArchiveWriter(parquetFile)\n   243→\t\tif err != nil {\n   244→\t\t\t// Drain results channel to unblock workers\n   245→\t\t\tfor range results {\n   246→\t\t\t}\n   247→\t\t\treturn totalFiles, fmt.Errorf(\"creating parquet writer for cluster %s: %w\", cluster, err)\n   248→\t\t}\n   249→\n   250→\t\ttype deleteItem struct {\n   251→\t\t\tdir   string\n   252→\t\t\tfiles []string\n   253→\t\t}\n   254→\t\tvar toDelete []deleteItem\n   255→\t\twriteErr := error(nil)\n   256→\n   257→\t\tfor r := range results {\n   258→\t\t\tif writeErr == nil {\n   259→\t\t\t\tsortParquetRows(r.rows)\n   260→\t\t\t\tif err := writer.WriteHostRows(r.rows); err != nil {\n   261→\t\t\t\t\twriteErr = err\n   262→\t\t\t\t}\n   263→\t\t\t}\n   264→\t\t\t// Always track files for deletion (even if write failed, we still drain)\n   265→\t\t\ttoDelete = append(toDelete, deleteItem{dir: r.dir, files: r.files})\n   266→\t\t}\n   267→\n   268→\t\tif err := writer.Close(); err != nil && writeErr == nil {\n   269→\t\t\twriteErr = err\n   270→\t\t}\n   271→\n   272→\t\tif errs > 0 {\n   273→\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n   274→\t\t}\n   275→\n   276→\t\tif writer.count == 0 {\n   277→\t\t\t// No data written — remove empty file\n   278→\t\t\tos.Remove(parquetFile)\n   279→\t\t\tcontinue\n   280→\t\t}\n   281→\n   282→\t\tif writeErr != nil {\n   283→\t\t\tos.Remove(parquetFile)\n   284→\t\t\treturn totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, writeErr)\n   285→\t\t}\n   286→\n   287→\t\t// Delete archived checkpoint files\n   288→\t\tfor _, item := range toDelete {\n   289→\t\t\tfor _, file := range item.files {\n   290→\t\t\t\tfilename := filepath.Join(item.dir, file)\n   291→\t\t\t\tif err := os.Remove(filename); err != nil {\n   292→\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n   293→\t\t\t\t} else {\n   294→\t\t\t\t\ttotalFiles++\n   295→\t\t\t\t}\n   296→\t\t\t}\n   297→\t\t}\n   298→\n   299→\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n   300→\t\t\twriter.count, totalFiles, cluster, parquetFile)"}]},"uuid":"9ba823f7-f70b-408c-85a5-d24ed2584aea","timestamp":"2026-03-18T04:02:39.767Z"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"c60873cc-1254-4214-8fd0-17084b70fe7c","timestamp":"2026-03-18T04:02:39.768Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"91d42c01-6b72-4d41-9852-696f364e6edb","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013LMkXWdTD9Mrr8mFng5HZw","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package parquet\n     7→\n     8→import (\n     9→\t\"bytes\"\n    10→\t\"compress/gzip\"\n    11→\t\"encoding/json\"\n    12→\t\"fmt\"\n    13→\n    14→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    15→)\n    16→\n    17→// JobToParquetRow converts job metadata and metric data into a flat ParquetJobRow.\n    18→// Nested fields are marshaled to JSON; metric data is gzip-compressed JSON.\n    19→func JobToParquetRow(meta *schema.Job, data *schema.JobData) (*ParquetJobRow, error) {\n    20→\tresourcesJSON, err := json.Marshal(meta.Resources)\n    21→\tif err != nil {\n    22→\t\treturn nil, fmt.Errorf(\"marshal resources: %w\", err)\n    23→\t}\n    24→\n    25→\tvar statisticsJSON []byte\n    26→\tif meta.Statistics != nil {\n    27→\t\tstatisticsJSON, err = json.Marshal(meta.Statistics)\n    28→\t\tif err != nil {\n    29→\t\t\treturn nil, fmt.Errorf(\"marshal statistics: %w\", err)\n    30→\t\t}\n    31→\t}\n    32→\n    33→\tvar tagsJSON []byte\n    34→\tif len(meta.Tags) > 0 {\n    35→\t\ttagsJSON, err = json.Marshal(meta.Tags)\n    36→\t\tif err != nil {\n    37→\t\t\treturn nil, fmt.Errorf(\"marshal tags: %w\", err)\n    38→\t\t}\n    39→\t}\n    40→\n    41→\tvar metaDataJSON []byte\n    42→\tif meta.MetaData != nil {\n    43→\t\tmetaDataJSON, err = json.Marshal(meta.MetaData)\n    44→\t\tif err != nil {\n    45→\t\t\treturn nil, fmt.Errorf(\"marshal metadata: %w\", err)\n    46→\t\t}\n    47→\t}\n    48→\n    49→\tvar footprintJSON []byte\n    50→\tif meta.Footprint != nil {\n    51→\t\tfootprintJSON, err = json.Marshal(meta.Footprint)\n    52→\t\tif err != nil {\n    53→\t\t\treturn nil, fmt.Errorf(\"marshal footprint: %w\", err)\n    54→\t\t}\n    55→\t}\n    56→\n    57→\tvar energyFootJSON []byte\n    58→\tif meta.EnergyFootprint != nil {\n    59→\t\tenergyFootJSON, err = json.Marshal(meta.EnergyFootprint)\n    60→\t\tif err != nil {\n    61→\t\t\treturn nil, fmt.Errorf(\"marshal energy footprint: %w\", err)\n    62→\t\t}\n    63→\t}\n    64→\n    65→\tmetricDataGz, err := compressJobData(data)\n    66→\tif err != nil {\n    67→\t\treturn nil, fmt.Errorf(\"compress metric data: %w\", err)\n    68→\t}\n    69→\n    70→\treturn &ParquetJobRow{\n    71→\t\tJobID:          meta.JobID,\n    72→\t\tCluster:        meta.Cluster,\n    73→\t\tSubCluster:     meta.SubCluster,\n    74→\t\tPartition:      meta.Partition,\n    75→\t\tProject:        meta.Project,\n    76→\t\tUser:           meta.User,\n    77→\t\tState:          string(meta.State),\n    78→\t\tStartTime:      meta.StartTime,\n    79→\t\tDuration:       meta.Duration,\n    80→\t\tWalltime:       meta.Walltime,\n    81→\t\tNumNodes:       meta.NumNodes,\n    82→\t\tNumHWThreads:   meta.NumHWThreads,\n    83→\t\tNumAcc:         meta.NumAcc,\n    84→\t\tEnergy:         meta.Energy,\n    85→\t\tSMT:            meta.SMT,\n    86→\t\tResourcesJSON:  resourcesJSON,\n    87→\t\tStatisticsJSON: statisticsJSON,\n    88→\t\tTagsJSON:       tagsJSON,\n    89→\t\tMetaDataJSON:   metaDataJSON,\n    90→\t\tFootprintJSON:  footprintJSON,\n    91→\t\tEnergyFootJSON: energyFootJSON,\n    92→\t\tMetricDataGz:   metricDataGz,\n    93→\t}, nil\n    94→}\n    95→\n    96→// ParquetRowToJob converts a ParquetJobRow back into job metadata and metric data.\n    97→// This is the reverse of JobToParquetRow.\n    98→func ParquetRowToJob(row *ParquetJobRow) (*schema.Job, *schema.JobData, error) {\n    99→\tmeta := &schema.Job{\n   100→\t\tJobID:        row.JobID,"}]},"uuid":"7b6a47be-a2c0-488e-ba31-b52aea20f0ea","timestamp":"2026-03-18T04:02:43.724Z"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"1c7c8ba0-45fa-4dcf-a87d-03f5d8f26168","timestamp":"2026-03-18T04:02:43.726Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
+{"parentUuid":"1c7c8ba0-45fa-4dcf-a87d-03f5d8f26168","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-18T04:02:45.376Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01AeDDgdidv1BEeCrQFmdBTc","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RR1p1p9GmJcZsKdnHvrmY8","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer_test.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":1586,"cache_read_input_tokens":41470,"cache_creation":{"ephemeral_5m_input_tokens":1586,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ9t3JEAaXHwUp2qQFHHG","uuid":"be8ab130-3d8c-4c5e-be06-5c6e300b2aa4"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"b86b4a2f-0e5a-4339-aa72-47e83065dde7","timestamp":"2026-03-18T04:02:45.376Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
+{"parentUuid":"b86b4a2f-0e5a-4339-aa72-47e83065dde7","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RR1p1p9GmJcZsKdnHvrmY8","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package parquet\n     7→\n     8→import (\n     9→\t\"bytes\"\n    10→\t\"compress/gzip\"\n    11→\t\"encoding/json\"\n    12→\t\"io\"\n    13→\t\"os\"\n    14→\t\"path/filepath\"\n    15→\t\"strings\"\n    16→\t\"sync\"\n    17→\t\"testing\"\n    18→\n    19→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    20→\tpq \"github.com/parquet-go/parquet-go\"\n    21→)\n    22→\n    23→// memTarget collects written files in memory for testing.\n    24→type memTarget struct {\n    25→\tmu    sync.Mutex\n    26→\tfiles map[string][]byte\n    27→}\n    28→\n    29→func newMemTarget() *memTarget {\n    30→\treturn &memTarget{files: make(map[string][]byte)}\n    31→}\n    32→\n    33→func (m *memTarget) WriteFile(name string, data []byte) error {\n    34→\tm.mu.Lock()\n    35→\tdefer m.mu.Unlock()\n    36→\tm.files[name] = append([]byte(nil), data...)\n    37→\treturn nil\n    38→}\n    39→\n    40→func makeTestJob(jobID int64) (*schema.Job, *schema.JobData) {\n    41→\tmeta := &schema.Job{\n    42→\t\tJobID:        jobID,\n    43→\t\tCluster:      \"testcluster\",\n    44→\t\tSubCluster:   \"sc0\",\n    45→\t\tProject:      \"testproject\",\n    46→\t\tUser:         \"testuser\",\n    47→\t\tState:        schema.JobStateCompleted,\n    48→\t\tStartTime:    1700000000,\n    49→\t\tDuration:     3600,\n    50→\t\tWalltime:     7200,\n    51→\t\tNumNodes:     2,\n    52→\t\tNumHWThreads: 16,\n    53→\t\tSMT:          1,\n    54→\t\tResources: []*schema.Resource{\n    55→\t\t\t{Hostname: \"node001\"},\n    56→\t\t\t{Hostname: \"node002\"},\n    57→\t\t},\n    58→\t}\n    59→\n    60→\tdata := schema.JobData{\n    61→\t\t\"cpu_load\": {\n    62→\t\t\tschema.MetricScopeNode: &schema.JobMetric{\n    63→\t\t\t\tUnit:     schema.Unit{Base: \"\"},\n    64→\t\t\t\tTimestep: 60,\n    65→\t\t\t\tSeries: []schema.Series{\n    66→\t\t\t\t\t{\n    67→\t\t\t\t\t\tHostname: \"node001\",\n    68→\t\t\t\t\t\tData:     []schema.Float{1.0, 2.0, 3.0},\n    69→\t\t\t\t\t},\n    70→\t\t\t\t},\n    71→\t\t\t},\n    72→\t\t},\n    73→\t}\n    74→\n    75→\treturn meta, &data\n    76→}\n    77→\n    78→func TestJobToParquetRowConversion(t *testing.T) {\n    79→\tmeta, data := makeTestJob(1001)\n    80→\tmeta.Tags = []*schema.Tag{{Type: \"test\", Name: \"tag1\"}}\n    81→\tmeta.MetaData = map[string]string{\"key\": \"value\"}\n    82→\n    83→\trow, err := JobToParquetRow(meta, data)\n    84→\tif err != nil {\n    85→\t\tt.Fatalf(\"JobToParquetRow: %v\", err)\n    86→\t}\n    87→\n    88→\tif row.JobID != 1001 {\n    89→\t\tt.Errorf(\"JobID = %d, want 1001\", row.JobID)\n    90→\t}\n    91→\tif row.Cluster != \"testcluster\" {\n    92→\t\tt.Errorf(\"Cluster = %q, want %q\", row.Cluster, \"testcluster\")\n    93→\t}\n    94→\tif row.User != \"testuser\" {\n    95→\t\tt.Errorf(\"User = %q, want %q\", row.User, \"testuser\")\n    96→\t}\n    97→\tif row.State != \"completed\" {\n    98→\t\tt.Errorf(\"State = %q, want %q\", row.State, \"completed\")\n    99→\t}\n   100→\tif row.NumNodes != 2 {\n   101→\t\tt.Errorf(\"NumNodes = %d, want 2\", row.NumNodes)\n   102→\t}\n   103→\n   104→\t// Verify resources JSON\n   105→\tvar resources []*schema.Resource\n   106→\tif err := json.Unmarshal(row.ResourcesJSON, &resources); err != nil {\n   107→\t\tt.Fatalf(\"unmarshal resources: %v\", err)\n   108→\t}\n   109→\tif len(resources) != 2 {\n   110→\t\tt.Errorf(\"resources len = %d, want 2\", len(resources))\n   111→\t}\n   112→\n   113→\t// Verify tags JSON\n   114→\tvar tags []*schema.Tag\n   115→\tif err := json.Unmarshal(row.TagsJSON, &tags); err != nil {\n   116→\t\tt.Fatalf(\"unmarshal tags: %v\", err)\n   117→\t}\n   118→\tif len(tags) != 1 || tags[0].Name != \"tag1\" {\n   119→\t\tt.Errorf(\"tags = %v, want [{test tag1}]\", tags)\n   120→\t}\n   121→\n   122→\t// Verify metric data is gzip-compressed valid JSON\n   123→\tgz, err := gzip.NewReader(bytes.NewReader(row.MetricDataGz))\n   124→\tif err != nil {\n   125→\t\tt.Fatalf(\"gzip reader: %v\", err)\n   126→\t}\n   127→\tdecompressed, err := io.ReadAll(gz)\n   128→\tif err != nil {\n   129→\t\tt.Fatalf(\"gzip read: %v\", err)\n   130→\t}\n   131→\tvar jobData schema.JobData\n   132→\tif err := json.Unmarshal(decompressed, &jobData); err != nil {\n   133→\t\tt.Fatalf(\"unmarshal metric data: %v\", err)\n   134→\t}\n   135→\tif _, ok := jobData[\"cpu_load\"]; !ok {\n   136→\t\tt.Error(\"metric data missing cpu_load key\")\n   137→\t}\n   138→}\n   139→\n   140→func TestParquetWriterSingleBatch(t *testing.T) {\n   141→\ttarget := newMemTarget()\n   142→\tpw := NewParquetWriter(target, 512)\n   143→\n   144→\tfor i := range int64(5) {\n   145→\t\tmeta, data := makeTestJob(i)\n   146→\t\trow, err := JobToParquetRow(meta, data)\n   147→\t\tif err != nil {\n   148→\t\t\tt.Fatalf(\"convert job %d: %v\", i, err)\n   149→\t\t}\n   150→\t\tif err := pw.AddJob(*row); err != nil {\n   151→\t\t\tt.Fatalf(\"add job %d: %v\", i, err)\n   152→\t\t}\n   153→\t}\n   154→\n   155→\tif err := pw.Close(); err != nil {\n   156→\t\tt.Fatalf(\"close: %v\", err)\n   157→\t}\n   158→\n   159→\tif len(target.files) != 1 {\n   160→\t\tt.Fatalf(\"expected 1 file, got %d\", len(target.files))\n   161→\t}\n   162→\n   163→\t// Verify the parquet file is readable\n   164→\tfor name, data := range target.files {\n   165→\t\tfile := bytes.NewReader(data)\n   166→\t\tpf, err := pq.OpenFile(file, int64(len(data)))\n   167→\t\tif err != nil {\n   168→\t\t\tt.Fatalf(\"open parquet %s: %v\", name, err)\n   169→\t\t}\n   170→\t\tif pf.NumRows() != 5 {\n   171→\t\t\tt.Errorf(\"parquet rows = %d, want 5\", pf.NumRows())\n   172→\t\t}\n   173→\t}\n   174→}\n   175→\n   176→func TestParquetWriterBatching(t *testing.T) {\n   177→\ttarget := newMemTarget()\n   178→\t// Use a very small max size to force multiple files\n   179→\tpw := NewParquetWriter(target, 0) // 0 MB means every job triggers a flush\n   180→\tpw.maxSizeBytes = 1               // Force flush after every row\n   181→\n   182→\tfor i := range int64(3) {\n   183→\t\tmeta, data := makeTestJob(i)\n   184→\t\trow, err := JobToParquetRow(meta, data)\n   185→\t\tif err != nil {\n   186→\t\t\tt.Fatalf(\"convert job %d: %v\", i, err)\n   187→\t\t}\n   188→\t\tif err := pw.AddJob(*row); err != nil {\n   189→\t\t\tt.Fatalf(\"add job %d: %v\", i, err)\n   190→\t\t}\n   191→\t}\n   192→\n   193→\tif err := pw.Close(); err != nil {\n   194→\t\tt.Fatalf(\"close: %v\", err)\n   195→\t}\n   196→\n   197→\t// With maxSizeBytes=1, each AddJob should flush the previous batch,\n   198→\t// resulting in multiple files\n   199→\tif len(target.files) < 2 {\n   200→\t\tt.Errorf(\"expected multiple files due to batching, got %d\", len(target.files))\n   201→\t}\n   202→\n   203→\t// Verify all files are valid parquet\n   204→\tfor name, data := range target.files {\n   205→\t\tfile := bytes.NewReader(data)\n   206→\t\t_, err := pq.OpenFile(file, int64(len(data)))\n   207→\t\tif err != nil {\n   208→\t\t\tt.Errorf(\"invalid parquet file %s: %v\", name, err)\n   209→\t\t}\n   210→\t}\n   211→}\n   212→\n   213→func TestFileTarget(t *testing.T) {\n   214→\tdir := t.TempDir()\n   215→\tft, err := NewFileTarget(dir)\n   216→\tif err != nil {\n   217→\t\tt.Fatalf(\"NewFileTarget: %v\", err)\n   218→\t}\n   219→\n   220→\ttestData := []byte(\"test parquet data\")\n   221→\tif err := ft.WriteFile(\"test.parquet\", testData); err != nil {\n   222→\t\tt.Fatalf(\"WriteFile: %v\", err)\n   223→\t}\n   224→\n   225→\t// Verify file exists and has correct content\n   226→\t// (using the target itself is sufficient; we just check no error)\n   227→}\n   228→\n   229→func TestFileTargetSubdirectories(t *testing.T) {\n   230→\tdir := t.TempDir()\n   231→\tft, err := NewFileTarget(dir)\n   232→\tif err != nil {\n   233→\t\tt.Fatalf(\"NewFileTarget: %v\", err)\n   234→\t}\n   235→\n   236→\ttestData := []byte(\"test data in subdir\")\n   237→\tif err := ft.WriteFile(\"fritz/cc-archive-2025-01-20-001.parquet\", testData); err != nil {\n   238→\t\tt.Fatalf(\"WriteFile with subdir: %v\", err)\n   239→\t}\n   240→\n   241→\t// Verify file was created in subdirectory\n   242→\tcontent, err := os.ReadFile(filepath.Join(dir, \"fritz\", \"cc-archive-2025-01-20-001.parquet\"))\n   243→\tif err != nil {\n   244→\t\tt.Fatalf(\"read file in subdir: %v\", err)\n   245→\t}\n   246→\tif !bytes.Equal(content, testData) {\n   247→\t\tt.Error(\"file content mismatch\")\n   248→\t}\n   249→}\n   250→\n   251→func makeTestJobForCluster(jobID int64, cluster string) (*schema.Job, *schema.JobData) {\n   252→\tmeta, data := makeTestJob(jobID)\n   253→\tmeta.Cluster = cluster\n   254→\treturn meta, data\n   255→}\n   256→\n   257→func TestClusterAwareParquetWriter(t *testing.T) {\n   258→\ttarget := newMemTarget()\n   259→\tcw := NewClusterAwareParquetWriter(target, 512)\n   260→\n   261→\t// Set cluster configs\n   262→\tcw.SetClusterConfig(\"fritz\", &schema.Cluster{Name: \"fritz\"})\n   263→\tcw.SetClusterConfig(\"alex\", &schema.Cluster{Name: \"alex\"})\n   264→\n   265→\t// Add jobs from different clusters\n   266→\tfor i := range int64(3) {\n   267→\t\tmeta, data := makeTestJobForCluster(i, \"fritz\")\n   268→\t\trow, err := JobToParquetRow(meta, data)\n   269→\t\tif err != nil {\n   270→\t\t\tt.Fatalf(\"convert fritz job %d: %v\", i, err)\n   271→\t\t}\n   272→\t\tif err := cw.AddJob(*row); err != nil {\n   273→\t\t\tt.Fatalf(\"add fritz job %d: %v\", i, err)\n   274→\t\t}\n   275→\t}\n   276→\n   277→\tfor i := int64(10); i < 12; i++ {\n   278→\t\tmeta, data := makeTestJobForCluster(i, \"alex\")\n   279→\t\trow, err := JobToParquetRow(meta, data)\n   280→\t\tif err != nil {\n   281→\t\t\tt.Fatalf(\"convert alex job %d: %v\", i, err)\n   282→\t\t}\n   283→\t\tif err := cw.AddJob(*row); err != nil {\n   284→\t\t\tt.Fatalf(\"add alex job %d: %v\", i, err)\n   285→\t\t}\n   286→\t}\n   287→\n   288→\tif err := cw.Close(); err != nil {\n   289→\t\tt.Fatalf(\"close: %v\", err)\n   290→\t}\n   291→\n   292→\ttarget.mu.Lock()\n   293→\tdefer target.mu.Unlock()\n   294→\n   295→\t// Check cluster.json files were written\n   296→\tif _, ok := target.files[\"fritz/cluster.json\"]; !ok {\n   297→\t\tt.Error(\"missing fritz/cluster.json\")\n   298→\t}\n   299→\tif _, ok := target.files[\"alex/cluster.json\"]; !ok {\n   300→\t\tt.Error(\"missing alex/cluster.json\")\n   301→\t}\n   302→\n   303→\t// Verify cluster.json content\n   304→\tvar clusterCfg schema.Cluster\n   305→\tif err := json.Unmarshal(target.files[\"fritz/cluster.json\"], &clusterCfg); err != nil {\n   306→\t\tt.Fatalf(\"unmarshal fritz cluster.json: %v\", err)\n   307→\t}\n   308→\tif clusterCfg.Name != \"fritz\" {\n   309→\t\tt.Errorf(\"fritz cluster name = %q, want %q\", clusterCfg.Name, \"fritz\")\n   310→\t}\n   311→\n   312→\t// Check parquet files are in cluster subdirectories\n   313→\tfritzParquets := 0\n   314→\talexParquets := 0\n   315→\tfor name := range target.files {\n   316→\t\tif strings.HasPrefix(name, \"fritz/\") && strings.HasSuffix(name, \".parquet\") {\n   317→\t\t\tfritzParquets++\n   318→\t\t}\n   319→\t\tif strings.HasPrefix(name, \"alex/\") && strings.HasSuffix(name, \".parquet\") {\n   320→\t\t\talexParquets++\n   321→\t\t}\n   322→\t}\n   323→\tif fritzParquets == 0 {\n   324→\t\tt.Error(\"no parquet files in fritz/\")\n   325→\t}\n   326→\tif alexParquets == 0 {\n   327→\t\tt.Error(\"no parquet files in alex/\")\n   328→\t}\n   329→\n   330→\t// Verify parquet files are readable and have correct row counts\n   331→\tfor name, data := range target.files {\n   332→\t\tif !strings.HasSuffix(name, \".parquet\") {\n   333→\t\t\tcontinue\n   334→\t\t}\n   335→\t\tfile := bytes.NewReader(data)\n   336→\t\tpf, err := pq.OpenFile(file, int64(len(data)))\n   337→\t\tif err != nil {\n   338→\t\t\tt.Errorf(\"open parquet %s: %v\", name, err)\n   339→\t\t\tcontinue\n   340→\t\t}\n   341→\t\tif strings.HasPrefix(name, \"fritz/\") && pf.NumRows() != 3 {\n   342→\t\t\tt.Errorf(\"fritz parquet rows = %d, want 3\", pf.NumRows())\n   343→\t\t}\n   344→\t\tif strings.HasPrefix(name, \"alex/\") && pf.NumRows() != 2 {\n   345→\t\t\tt.Errorf(\"alex parquet rows = %d, want 2\", pf.NumRows())\n   346→\t\t}\n   347→\t}\n   348→}\n   349→\n   350→func TestClusterAwareParquetWriterEmpty(t *testing.T) {\n   351→\ttarget := newMemTarget()\n   352→\tcw := NewClusterAwareParquetWriter(target, 512)\n   353→\n   354→\tif err := cw.Close(); err != nil {\n   355→\t\tt.Fatalf(\"close empty writer: %v\", err)\n   356→\t}\n   357→\n   358→\tif len(target.files) != 0 {\n   359→\t\tt.Errorf(\"expected no files for empty writer, got %d\", len(target.files))\n   360→\t}\n   361→}\n   362→"}]},"uuid":"865a5a9f-707f-48e4-bb93-014ea57a5d56","timestamp":"2026-03-18T04:02:45.392Z"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"69813891-a882-4c15-a8fa-e014769cea16","timestamp":"2026-03-18T04:02:45.750Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"d375b321-0773-492e-9b97-ebedbb6df8ed","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0151RaganG7v9p6HapDxL61S","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package metricstore\n     7→\n     8→import (\n     9→\t\"encoding/json\"\n    10→\t\"os\"\n    11→\t\"path/filepath\"\n    12→\t\"testing\"\n    13→\n    14→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    15→\tpq \"github.com/parquet-go/parquet-go\"\n    16→)\n    17→\n    18→func TestParseScopeFromName(t *testing.T) {\n    19→\ttests := []struct {\n    20→\t\tname      string\n    21→\t\twantScope string\n    22→\t\twantID    string\n    23→\t}{\n    24→\t\t{\"socket0\", \"socket\", \"0\"},\n    25→\t\t{\"socket12\", \"socket\", \"12\"},\n    26→\t\t{\"core0\", \"core\", \"0\"},\n    27→\t\t{\"core127\", \"core\", \"127\"},\n    28→\t\t{\"cpu0\", \"hwthread\", \"0\"},\n    29→\t\t{\"hwthread5\", \"hwthread\", \"5\"},\n    30→\t\t{\"memoryDomain0\", \"memoryDomain\", \"0\"},\n    31→\t\t{\"accelerator0\", \"accelerator\", \"0\"},\n    32→\t\t{\"unknown\", \"unknown\", \"\"},\n    33→\t\t{\"socketX\", \"socketX\", \"\"}, // not numeric suffix\n    34→\t}\n    35→\n    36→\tfor _, tt := range tests {\n    37→\t\tt.Run(tt.name, func(t *testing.T) {\n    38→\t\t\tscope, id := parseScopeFromName(tt.name)\n    39→\t\t\tif scope != tt.wantScope || id != tt.wantID {\n    40→\t\t\t\tt.Errorf(\"parseScopeFromName(%q) = (%q, %q), want (%q, %q)\",\n    41→\t\t\t\t\ttt.name, scope, id, tt.wantScope, tt.wantID)\n    42→\t\t\t}\n    43→\t\t})\n    44→\t}\n    45→}\n    46→\n    47→func TestFlattenCheckpointFile(t *testing.T) {\n    48→\tcf := &CheckpointFile{\n    49→\t\tFrom: 1000,\n    50→\t\tTo:   1060,\n    51→\t\tMetrics: map[string]*CheckpointMetrics{\n    52→\t\t\t\"cpu_load\": {\n    53→\t\t\t\tFrequency: 60,\n    54→\t\t\t\tStart:     1000,\n    55→\t\t\t\tData:      []schema.Float{0.5, 0.7, schema.NaN},\n    56→\t\t\t},\n    57→\t\t},\n    58→\t\tChildren: map[string]*CheckpointFile{\n    59→\t\t\t\"socket0\": {\n    60→\t\t\t\tMetrics: map[string]*CheckpointMetrics{\n    61→\t\t\t\t\t\"mem_bw\": {\n    62→\t\t\t\t\t\tFrequency: 60,\n    63→\t\t\t\t\t\tStart:     1000,\n    64→\t\t\t\t\t\tData:      []schema.Float{100.0, schema.NaN, 200.0},\n    65→\t\t\t\t\t},\n    66→\t\t\t\t},\n    67→\t\t\t\tChildren: make(map[string]*CheckpointFile),\n    68→\t\t\t},\n    69→\t\t},\n    70→\t}\n    71→\n    72→\trows := flattenCheckpointFile(cf, \"fritz\", \"node001\", \"node\", \"\", nil)\n    73→\n    74→\t// cpu_load: 2 non-NaN values at node scope\n    75→\t// mem_bw: 2 non-NaN values at socket0 scope\n    76→\tif len(rows) != 4 {\n    77→\t\tt.Fatalf(\"expected 4 rows, got %d\", len(rows))\n    78→\t}\n    79→\n    80→\t// Verify a node-scope row\n    81→\tfound := false\n    82→\tfor _, r := range rows {\n    83→\t\tif r.Metric == \"cpu_load\" && r.Timestamp == 1000 {\n    84→\t\t\tfound = true\n    85→\t\t\tif r.Cluster != \"fritz\" || r.Hostname != \"node001\" || r.Scope != \"node\" || r.Value != 0.5 {\n    86→\t\t\t\tt.Errorf(\"unexpected row: %+v\", r)\n    87→\t\t\t}\n    88→\t\t}\n    89→\t}\n    90→\tif !found {\n    91→\t\tt.Error(\"expected cpu_load row at timestamp 1000\")\n    92→\t}\n    93→\n    94→\t// Verify a socket-scope row\n    95→\tfound = false\n    96→\tfor _, r := range rows {\n    97→\t\tif r.Metric == \"mem_bw\" && r.Scope == \"socket\" && r.ScopeID == \"0\" {\n    98→\t\t\tfound = true\n    99→\t\t}\n   100→\t}"}]},"uuid":"006ccb9d-700f-450a-bf59-9cad994307be","timestamp":"2026-03-18T04:02:45.793Z"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"e381436a-7b60-4aae-9090-e89ce5d7ccc4","timestamp":"2026-03-18T04:02:45.794Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
+{"parentUuid":"e381436a-7b60-4aae-9090-e89ce5d7ccc4","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Agent","command":"entire hooks claude-code post-task"},"parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","toolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","timestamp":"2026-03-18T04:03:01.631Z","uuid":"d5eaffb2-6268-4c4c-9d3a-8c6fb5d797bc","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
+{"parentUuid":"dd911687-ef19-4727-bc02-483d0b5ffab8","isSidechain":false,"promptId":"ba68d540-ba70-4f66-94e7-2c9d72fab3f4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","type":"tool_result","content":[{"type":"text","text":"Perfect! I now have a comprehensive understanding of all parquet writing code in the codebase. Let me compile my findings:\n\n## Comprehensive Report: All Parquet Writing Usage in CC-Backend\n\nBased on my thorough search, I found **3 major parquet writing code paths** with specific accumulation patterns:\n\n### 1. **Job Retention/Archiving via ParquetWriter** \n**File**: `/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go` (lines 20-106)\n\n**Row Accumulation Pattern**:\n- `ParquetWriter` struct (line 22) accumulates `[]ParquetJobRow` in field `rows` (line 25)\n- `AddJob()` method (line 43) appends rows to the slice\n- When `currentSize + rowSize > maxSizeBytes` (line 46), `Flush()` is called\n- `Flush()` (line 58) calls `writeParquetBytes(pw.rows)` (line 66) which creates a `pq.NewGenericWriter[ParquetJobRow]` (line 89)\n\n**GenericWriter Usage** (line 89):\n```go\nwriter := pq.NewGenericWriter[ParquetJobRow](&buf,\n    pq.Compression(&pq.Zstd),\n    pq.SortingWriterConfig(pq.SortingColumns(\n        pq.Ascending(\"sub_cluster\"),\n        pq.Ascending(\"project\"),\n        pq.Ascending(\"start_time\"),\n    )),\n)\n```\n\n**Called from**: `/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go` (lines 108-149)\n- `transferJobsParquet()` creates `pqarchive.NewClusterAwareParquetWriter()` (line 109)\n- Iterates jobs, converts to ParquetJobRow via `pqarchive.JobToParquetRow()` (line 137), calls `cw.AddJob()` (line 142)\n\n---\n\n### 2. **Cluster-Aware Job Retention via ClusterAwareParquetWriter**\n**File**: `/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go` (lines 133-186)\n\n**Row Accumulation Pattern**:\n- `ClusterAwareParquetWriter` (line 135) maintains `writers map[string]*ParquetWriter` (line 138)\n- Each cluster gets its own `ParquetWriter` instance\n- `AddJob()` (line 158) routes to the appropriate cluster's writer\n- Same row accumulation and batching as ParquetWriter above\n\n**Called from**: \n- `/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go` lines 109, 260, 311\n  - `RegisterRetentionCopyService()` (line 232)\n  - `RegisterRetentionMoveService()` (line 285)\n\n---\n\n### 3. **Node State Retention via NodeStateParquetWriter**\n**File**: `/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/nodestate_writer.go` (lines 17-111)\n\n**Row Accumulation Pattern**:\n- `NodeStateParquetWriter` struct (line 19) accumulates `[]ParquetNodeStateRow` in field `rows` (line 22)\n- `AddRow()` method (line 39) appends rows with size tracking\n- When `currentSize + rowSize > maxSizeBytes` (line 42), `Flush()` is called\n- `Flush()` (line 54) calls `writeNodeStateParquetBytes(pw.rows)` (line 62)\n\n**GenericWriter Usage** (line 85):\n```go\nwriter := pq.NewGenericWriter[ParquetNodeStateRow](&buf,\n    pq.Compression(&pq.Zstd),\n    pq.SortingWriterConfig(pq.SortingColumns(\n        pq.Ascending(\"cluster\"),\n        pq.Ascending(\"subcluster\"),\n        pq.Ascending(\"hostname\"),\n        pq.Ascending(\"time_stamp\"),\n    )),\n)\n```\n\n**Called from**: `/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go` (lines 35-120)\n- `RegisterNodeStateRetentionMoveService()` (line 35)\n- Creates `pqarchive.NewNodeStateParquetWriter()` (line 86)\n- Finds old nodestate rows via `nodeRepo.FindNodeStatesBefore()` (line 76)\n- Iterates rows, creates `ParquetNodeStateRow` structs, calls `pw.AddRow()` (line 102)\n\n---\n\n### 4. **Metric Archive via parquetArchiveWriter (Checkpoint Streaming)**\n**File**: `/Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive.go` (lines 95-160)\n\n**Row Accumulation Pattern**:\n- `parquetArchiveWriter` struct (line 98) uses `*pq.GenericWriter[ParquetMetricRow]` directly (line 99)\n- Does **NOT** accumulate rows in memory; instead writes incrementally via `WriteHostRows()` (line 127)\n- Each host's data is sorted by (metric, timestamp) then written as a separate row group\n\n**GenericWriter Creation** (line 118):\n```go\nwriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n    pq.Compression(&pq.Zstd),\n)\n```\n\n**Data Source**: \n- `archiveCheckpointsToParquet()` (line 236) pre-allocates row slice and flattens checkpoint files\n- `flattenCheckpointFile()` (line 38) recursively converts CheckpointFile tree to `[]ParquetMetricRow`\n- Pre-allocation estimate via `estimateRowCount()` (line 223)\n\n**Called from**: `/Users/jan/prg/CC/cc-backend/pkg/metricstore/archive.go` (lines 86-300)\n- `archiveCheckpoints()` (line 173) \n- Workers pool pattern processes per-host checkpoint directories\n- Each host's rows written via `writer.WriteHostRows()` (line 260) at line 260\n- Creates streaming archive from metrics checkpoints to Parquet files in format: `<cleanupDir>/<cluster>/<timestamp>.parquet`\n\n---\n\n### Summary of Row Accumulation Patterns:\n\n| Location | Row Type | Struct Field | Batching | Trigger |\n|----------|----------|--------------|----------|---------|\n| `pkg/archive/parquet/writer.go` | `ParquetJobRow` | `rows []ParquetJobRow` | Yes | Size > maxSizeBytes |\n| `pkg/archive/parquet/nodestate_writer.go` | `ParquetNodeStateRow` | `rows []ParquetNodeStateRow` | Yes | Size > maxSizeBytes |\n| `pkg/metricstore/parquetArchive.go` | `ParquetMetricRow` | Pre-allocated slice | No | Per-host row group |\n\n### Key Implementation Details:\n\n1. **Job/NodeState Writers** use batching to avoid OOM on large datasets\n2. **Metric Archive Writer** uses streaming row groups instead of full accumulation\n3. All use `pq.NewGenericWriter` with `pq.Compression(&pq.Zstd)` for compression\n4. Job and NodeState writers use `pq.SortingWriterConfig` for column ordering\n5. Row estimation via struct field size calculation before writing\n6. All integrate with parquet-go library's generic writer API"},{"type":"text","text":"agentId: a54ce42db3d7e6a75 (for resuming to continue this agent's work if needed)\n<usage>total_tokens: 51623\ntool_uses: 17\nduration_ms: 29238</usage>"}]}]},"uuid":"dea76866-f55f-45b0-87d1-b546550a70bd","timestamp":"2026-03-18T04:03:01.630Z","toolUseResult":{"status":"completed","prompt":"Search the codebase for ALL uses of parquet writing - any place that writes parquet files, accumulates rows into slices for parquet, or uses parquet-go's GenericWriter. Look specifically for:\n\n1. Any usage of `pq.NewGenericWriter`, `pq.GenericWriter`, `SortingWriterConfig`, or `writeParquetArchive`\n2. Any function that accumulates `[]ParquetMetricRow` or similar row slices\n3. Nodestate retention or archiving code that might write parquet\n4. Any other archiving/retention code paths\n\nSearch thoroughly - check pkg/, internal/, and any other directories. Report the exact file paths, line numbers, and the accumulation patterns you find.","agentId":"a54ce42db3d7e6a75","content":[{"type":"text","text":"Perfect! I now have a comprehensive understanding of all parquet writing code in the codebase. Let me compile my findings:\n\n## Comprehensive Report: All Parquet Writing Usage in CC-Backend\n\nBased on my thorough search, I found **3 major parquet writing code paths** with specific accumulation patterns:\n\n### 1. **Job Retention/Archiving via ParquetWriter** \n**File**: `/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go` (lines 20-106)\n\n**Row Accumulation Pattern**:\n- `ParquetWriter` struct (line 22) accumulates `[]ParquetJobRow` in field `rows` (line 25)\n- `AddJob()` method (line 43) appends rows to the slice\n- When `currentSize + rowSize > maxSizeBytes` (line 46), `Flush()` is called\n- `Flush()` (line 58) calls `writeParquetBytes(pw.rows)` (line 66) which creates a `pq.NewGenericWriter[ParquetJobRow]` (line 89)\n\n**GenericWriter Usage** (line 89):\n```go\nwriter := pq.NewGenericWriter[ParquetJobRow](&buf,\n    pq.Compression(&pq.Zstd),\n    pq.SortingWriterConfig(pq.SortingColumns(\n        pq.Ascending(\"sub_cluster\"),\n        pq.Ascending(\"project\"),\n        pq.Ascending(\"start_time\"),\n    )),\n)\n```\n\n**Called from**: `/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go` (lines 108-149)\n- `transferJobsParquet()` creates `pqarchive.NewClusterAwareParquetWriter()` (line 109)\n- Iterates jobs, converts to ParquetJobRow via `pqarchive.JobToParquetRow()` (line 137), calls `cw.AddJob()` (line 142)\n\n---\n\n### 2. **Cluster-Aware Job Retention via ClusterAwareParquetWriter**\n**File**: `/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go` (lines 133-186)\n\n**Row Accumulation Pattern**:\n- `ClusterAwareParquetWriter` (line 135) maintains `writers map[string]*ParquetWriter` (line 138)\n- Each cluster gets its own `ParquetWriter` instance\n- `AddJob()` (line 158) routes to the appropriate cluster's writer\n- Same row accumulation and batching as ParquetWriter above\n\n**Called from**: \n- `/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go` lines 109, 260, 311\n  - `RegisterRetentionCopyService()` (line 232)\n  - `RegisterRetentionMoveService()` (line 285)\n\n---\n\n### 3. **Node State Retention via NodeStateParquetWriter**\n**File**: `/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/nodestate_writer.go` (lines 17-111)\n\n**Row Accumulation Pattern**:\n- `NodeStateParquetWriter` struct (line 19) accumulates `[]ParquetNodeStateRow` in field `rows` (line 22)\n- `AddRow()` method (line 39) appends rows with size tracking\n- When `currentSize + rowSize > maxSizeBytes` (line 42), `Flush()` is called\n- `Flush()` (line 54) calls `writeNodeStateParquetBytes(pw.rows)` (line 62)\n\n**GenericWriter Usage** (line 85):\n```go\nwriter := pq.NewGenericWriter[ParquetNodeStateRow](&buf,\n    pq.Compression(&pq.Zstd),\n    pq.SortingWriterConfig(pq.SortingColumns(\n        pq.Ascending(\"cluster\"),\n        pq.Ascending(\"subcluster\"),\n        pq.Ascending(\"hostname\"),\n        pq.Ascending(\"time_stamp\"),\n    )),\n)\n```\n\n**Called from**: `/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go` (lines 35-120)\n- `RegisterNodeStateRetentionMoveService()` (line 35)\n- Creates `pqarchive.NewNodeStateParquetWriter()` (line 86)\n- Finds old nodestate rows via `nodeRepo.FindNodeStatesBefore()` (line 76)\n- Iterates rows, creates `ParquetNodeStateRow` structs, calls `pw.AddRow()` (line 102)\n\n---\n\n### 4. **Metric Archive via parquetArchiveWriter (Checkpoint Streaming)**\n**File**: `/Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive.go` (lines 95-160)\n\n**Row Accumulation Pattern**:\n- `parquetArchiveWriter` struct (line 98) uses `*pq.GenericWriter[ParquetMetricRow]` directly (line 99)\n- Does **NOT** accumulate rows in memory; instead writes incrementally via `WriteHostRows()` (line 127)\n- Each host's data is sorted by (metric, timestamp) then written as a separate row group\n\n**GenericWriter Creation** (line 118):\n```go\nwriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n    pq.Compression(&pq.Zstd),\n)\n```\n\n**Data Source**: \n- `archiveCheckpointsToParquet()` (line 236) pre-allocates row slice and flattens checkpoint files\n- `flattenCheckpointFile()` (line 38) recursively converts CheckpointFile tree to `[]ParquetMetricRow`\n- Pre-allocation estimate via `estimateRowCount()` (line 223)\n\n**Called from**: `/Users/jan/prg/CC/cc-backend/pkg/metricstore/archive.go` (lines 86-300)\n- `archiveCheckpoints()` (line 173) \n- Workers pool pattern processes per-host checkpoint directories\n- Each host's rows written via `writer.WriteHostRows()` (line 260) at line 260\n- Creates streaming archive from metrics checkpoints to Parquet files in format: `<cleanupDir>/<cluster>/<timestamp>.parquet`\n\n---\n\n### Summary of Row Accumulation Patterns:\n\n| Location | Row Type | Struct Field | Batching | Trigger |\n|----------|----------|--------------|----------|---------|\n| `pkg/archive/parquet/writer.go` | `ParquetJobRow` | `rows []ParquetJobRow` | Yes | Size > maxSizeBytes |\n| `pkg/archive/parquet/nodestate_writer.go` | `ParquetNodeStateRow` | `rows []ParquetNodeStateRow` | Yes | Size > maxSizeBytes |\n| `pkg/metricstore/parquetArchive.go` | `ParquetMetricRow` | Pre-allocated slice | No | Per-host row group |\n\n### Key Implementation Details:\n\n1. **Job/NodeState Writers** use batching to avoid OOM on large datasets\n2. **Metric Archive Writer** uses streaming row groups instead of full accumulation\n3. All use `pq.NewGenericWriter` with `pq.Compression(&pq.Zstd)` for compression\n4. Job and NodeState writers use `pq.SortingWriterConfig` for column ordering\n5. Row estimation via struct field size calculation before writing\n6. All integrate with parquet-go library's generic writer API"}],"totalDurationMs":29238,"totalTokens":51623,"totalToolUseCount":17,"usage":{"input_tokens":6,"cache_creation_input_tokens":6652,"cache_read_input_tokens":43056,"output_tokens":1909,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":6652},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"dd911687-ef19-4727-bc02-483d0b5ffab8","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"6ef33ff4-6796-4ef0-b60a-8faf052d22c6","isSidechain":false,"promptId":"ba68d540-ba70-4f66-94e7-2c9d72fab3f4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011Fh6gGsv7PiP7UZ5Fzn1HF","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package parquet\n     7→\n     8→import (\n     9→\t\"bytes\"\n    10→\t\"encoding/json\"\n    11→\t\"fmt\"\n    12→\t\"path\"\n    13→\t\"time\"\n    14→\n    15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    16→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    17→\tpq \"github.com/parquet-go/parquet-go\"\n    18→)\n    19→\n    20→// ParquetWriter batches ParquetJobRows and flushes them to a target\n    21→// when the estimated size exceeds maxSizeBytes.\n    22→type ParquetWriter struct {\n    23→\ttarget       ParquetTarget\n    24→\tmaxSizeBytes int64\n    25→\trows         []ParquetJobRow\n    26→\tcurrentSize  int64\n    27→\tfileCounter  int\n    28→\tdatePrefix   string\n    29→}\n    30→\n    31→// NewParquetWriter creates a new writer that flushes batches to the given target.\n    32→// maxSizeMB sets the approximate maximum size per parquet file in megabytes.\n    33→func NewParquetWriter(target ParquetTarget, maxSizeMB int) *ParquetWriter {\n    34→\treturn &ParquetWriter{\n    35→\t\ttarget:       target,\n    36→\t\tmaxSizeBytes: int64(maxSizeMB) * 1024 * 1024,\n    37→\t\tdatePrefix:   time.Now().Format(\"2006-01-02\"),\n    38→\t}\n    39→}\n    40→\n    41→// AddJob adds a row to the current batch. If the estimated batch size\n    42→// exceeds the configured maximum, the batch is flushed to the target first.\n    43→func (pw *ParquetWriter) AddJob(row ParquetJobRow) error {\n    44→\trowSize := estimateRowSize(&row)\n    45→\n    46→\tif pw.currentSize+rowSize > pw.maxSizeBytes && len(pw.rows) > 0 {\n    47→\t\tif err := pw.Flush(); err != nil {\n    48→\t\t\treturn err\n    49→\t\t}\n    50→\t}\n    51→\n    52→\tpw.rows = append(pw.rows, row)\n    53→\tpw.currentSize += rowSize\n    54→\treturn nil\n    55→}\n    56→\n    57→// Flush writes the current batch to a parquet file on the target.\n    58→func (pw *ParquetWriter) Flush() error {\n    59→\tif len(pw.rows) == 0 {\n    60→\t\treturn nil\n    61→\t}\n    62→\n    63→\tpw.fileCounter++\n    64→\tfileName := fmt.Sprintf(\"cc-archive-%s-%03d.parquet\", pw.datePrefix, pw.fileCounter)\n    65→\n    66→\tdata, err := writeParquetBytes(pw.rows)\n    67→\tif err != nil {\n    68→\t\treturn fmt.Errorf(\"write parquet buffer: %w\", err)\n    69→\t}\n    70→\n    71→\tif err := pw.target.WriteFile(fileName, data); err != nil {\n    72→\t\treturn fmt.Errorf(\"write parquet file %q: %w\", fileName, err)\n    73→\t}\n    74→\n    75→\tcclog.Infof(\"Parquet retention: wrote %s (%d jobs, %d bytes)\", fileName, len(pw.rows), len(data))\n    76→\tpw.rows = pw.rows[:0]\n    77→\tpw.currentSize = 0\n    78→\treturn nil\n    79→}\n    80→\n    81→// Close flushes any remaining rows and finalizes the writer.\n    82→func (pw *ParquetWriter) Close() error {\n    83→\treturn pw.Flush()\n    84→}\n    85→\n    86→func writeParquetBytes(rows []ParquetJobRow) ([]byte, error) {\n    87→\tvar buf bytes.Buffer\n    88→\n    89→\twriter := pq.NewGenericWriter[ParquetJobRow](&buf,\n    90→\t\tpq.Compression(&pq.Zstd),\n    91→\t\tpq.SortingWriterConfig(pq.SortingColumns(\n    92→\t\t\tpq.Ascending(\"sub_cluster\"),\n    93→\t\t\tpq.Ascending(\"project\"),\n    94→\t\t\tpq.Ascending(\"start_time\"),\n    95→\t\t)),\n    96→\t)\n    97→\n    98→\tif _, err := writer.Write(rows); err != nil {\n    99→\t\treturn nil, err\n   100→\t}\n   101→\tif err := writer.Close(); err != nil {\n   102→\t\treturn nil, err\n   103→\t}\n   104→\n   105→\treturn buf.Bytes(), nil\n   106→}\n   107→\n   108→func estimateRowSize(row *ParquetJobRow) int64 {\n   109→\t// Fixed fields: ~100 bytes for numeric fields + strings estimate\n   110→\tsize := int64(200)\n   111→\tsize += int64(len(row.Cluster) + len(row.SubCluster) + len(row.Partition) +\n   112→\t\tlen(row.Project) + len(row.User) + len(row.State))\n   113→\tsize += int64(len(row.ResourcesJSON))\n   114→\tsize += int64(len(row.StatisticsJSON))\n   115→\tsize += int64(len(row.TagsJSON))\n   116→\tsize += int64(len(row.MetaDataJSON))\n   117→\tsize += int64(len(row.FootprintJSON))\n   118→\tsize += int64(len(row.EnergyFootJSON))\n   119→\tsize += int64(len(row.MetricDataGz))\n   120→\treturn size\n   121→}\n   122→\n   123→// prefixedTarget wraps a ParquetTarget and prepends a path prefix to all file names.\n   124→type prefixedTarget struct {\n   125→\tinner  ParquetTarget\n   126→\tprefix string\n   127→}\n   128→\n   129→func (pt *prefixedTarget) WriteFile(name string, data []byte) error {\n   130→\treturn pt.inner.WriteFile(path.Join(pt.prefix, name), data)\n   131→}\n   132→\n   133→// ClusterAwareParquetWriter organizes Parquet output by cluster.\n   134→// Each cluster gets its own subdirectory with a cluster.json config file.\n   135→type ClusterAwareParquetWriter struct {\n   136→\ttarget       ParquetTarget\n   137→\tmaxSizeMB    int\n   138→\twriters      map[string]*ParquetWriter\n   139→\tclusterCfgs  map[string]*schema.Cluster\n   140→}\n   141→\n   142→// NewClusterAwareParquetWriter creates a writer that routes jobs to per-cluster ParquetWriters.\n   143→func NewClusterAwareParquetWriter(target ParquetTarget, maxSizeMB int) *ClusterAwareParquetWriter {\n   144→\treturn &ClusterAwareParquetWriter{\n   145→\t\ttarget:      target,\n   146→\t\tmaxSizeMB:   maxSizeMB,\n   147→\t\twriters:     make(map[string]*ParquetWriter),\n   148→\t\tclusterCfgs: make(map[string]*schema.Cluster),\n   149→\t}\n   150→}\n   151→\n   152→// SetClusterConfig stores a cluster configuration to be written as cluster.json on Close.\n   153→func (cw *ClusterAwareParquetWriter) SetClusterConfig(name string, cfg *schema.Cluster) {\n   154→\tcw.clusterCfgs[name] = cfg\n   155→}\n   156→\n   157→// AddJob routes the job row to the appropriate per-cluster writer.\n   158→func (cw *ClusterAwareParquetWriter) AddJob(row ParquetJobRow) error {\n   159→\tcluster := row.Cluster\n   160→\tpw, ok := cw.writers[cluster]\n   161→\tif !ok {\n   162→\t\tpw = NewParquetWriter(&prefixedTarget{inner: cw.target, prefix: cluster}, cw.maxSizeMB)\n   163→\t\tcw.writers[cluster] = pw\n   164→\t}\n   165→\treturn pw.AddJob(row)\n   166→}\n   167→\n   168→// Close writes cluster.json files and flushes all per-cluster writers.\n   169→func (cw *ClusterAwareParquetWriter) Close() error {\n   170→\tfor name, cfg := range cw.clusterCfgs {\n   171→\t\tdata, err := json.MarshalIndent(cfg, \"\", \"  \")\n   172→\t\tif err != nil {\n   173→\t\t\treturn fmt.Errorf(\"marshal cluster config %q: %w\", name, err)\n   174→\t\t}\n   175→\t\tif err := cw.target.WriteFile(path.Join(name, \"cluster.json\"), data); err != nil {\n   176→\t\t\treturn fmt.Errorf(\"write cluster.json for %q: %w\", name, err)\n   177→\t\t}\n   178→\t}\n   179→\n   180→\tfor cluster, pw := range cw.writers {\n   181→\t\tif err := pw.Close(); err != nil {\n   182→\t\t\treturn fmt.Errorf(\"close writer for cluster %q: %w\", cluster, err)\n   183→\t\t}\n   184→\t}\n   185→\treturn nil\n   186→}\n   187→"}]},"uuid":"8ba2bd53-1ba2-49e6-a0fb-f32b047d809b","timestamp":"2026-03-18T04:03:08.711Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage parquet\n\nimport (\n\t\"bytes\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"path\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\n// ParquetWriter batches ParquetJobRows and flushes them to a target\n// when the estimated size exceeds maxSizeBytes.\ntype ParquetWriter struct {\n\ttarget       ParquetTarget\n\tmaxSizeBytes int64\n\trows         []ParquetJobRow\n\tcurrentSize  int64\n\tfileCounter  int\n\tdatePrefix   string\n}\n\n// NewParquetWriter creates a new writer that flushes batches to the given target.\n// maxSizeMB sets the approximate maximum size per parquet file in megabytes.\nfunc NewParquetWriter(target ParquetTarget, maxSizeMB int) *ParquetWriter {\n\treturn &ParquetWriter{\n\t\ttarget:       target,\n\t\tmaxSizeBytes: int64(maxSizeMB) * 1024 * 1024,\n\t\tdatePrefix:   time.Now().Format(\"2006-01-02\"),\n\t}\n}\n\n// AddJob adds a row to the current batch. If the estimated batch size\n// exceeds the configured maximum, the batch is flushed to the target first.\nfunc (pw *ParquetWriter) AddJob(row ParquetJobRow) error {\n\trowSize := estimateRowSize(&row)\n\n\tif pw.currentSize+rowSize > pw.maxSizeBytes && len(pw.rows) > 0 {\n\t\tif err := pw.Flush(); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tpw.rows = append(pw.rows, row)\n\tpw.currentSize += rowSize\n\treturn nil\n}\n\n// Flush writes the current batch to a parquet file on the target.\nfunc (pw *ParquetWriter) Flush() error {\n\tif len(pw.rows) == 0 {\n\t\treturn nil\n\t}\n\n\tpw.fileCounter++\n\tfileName := fmt.Sprintf(\"cc-archive-%s-%03d.parquet\", pw.datePrefix, pw.fileCounter)\n\n\tdata, err := writeParquetBytes(pw.rows)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"write parquet buffer: %w\", err)\n\t}\n\n\tif err := pw.target.WriteFile(fileName, data); err != nil {\n\t\treturn fmt.Errorf(\"write parquet file %q: %w\", fileName, err)\n\t}\n\n\tcclog.Infof(\"Parquet retention: wrote %s (%d jobs, %d bytes)\", fileName, len(pw.rows), len(data))\n\tpw.rows = pw.rows[:0]\n\tpw.currentSize = 0\n\treturn nil\n}\n\n// Close flushes any remaining rows and finalizes the writer.\nfunc (pw *ParquetWriter) Close() error {\n\treturn pw.Flush()\n}\n\nfunc writeParquetBytes(rows []ParquetJobRow) ([]byte, error) {\n\tvar buf bytes.Buffer\n\n\twriter := pq.NewGenericWriter[ParquetJobRow](&buf,\n\t\tpq.Compression(&pq.Zstd),\n\t\tpq.SortingWriterConfig(pq.SortingColumns(\n\t\t\tpq.Ascending(\"sub_cluster\"),\n\t\t\tpq.Ascending(\"project\"),\n\t\t\tpq.Ascending(\"start_time\"),\n\t\t)),\n\t)\n\n\tif _, err := writer.Write(rows); err != nil {\n\t\treturn nil, err\n\t}\n\tif err := writer.Close(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn buf.Bytes(), nil\n}\n\nfunc estimateRowSize(row *ParquetJobRow) int64 {\n\t// Fixed fields: ~100 bytes for numeric fields + strings estimate\n\tsize := int64(200)\n\tsize += int64(len(row.Cluster) + len(row.SubCluster) + len(row.Partition) +\n\t\tlen(row.Project) + len(row.User) + len(row.State))\n\tsize += int64(len(row.ResourcesJSON))\n\tsize += int64(len(row.StatisticsJSON))\n\tsize += int64(len(row.TagsJSON))\n\tsize += int64(len(row.MetaDataJSON))\n\tsize += int64(len(row.FootprintJSON))\n\tsize += int64(len(row.EnergyFootJSON))\n\tsize += int64(len(row.MetricDataGz))\n\treturn size\n}\n\n// prefixedTarget wraps a ParquetTarget and prepends a path prefix to all file names.\ntype prefixedTarget struct {\n\tinner  ParquetTarget\n\tprefix string\n}\n\nfunc (pt *prefixedTarget) WriteFile(name string, data []byte) error {\n\treturn pt.inner.WriteFile(path.Join(pt.prefix, name), data)\n}\n\n// ClusterAwareParquetWriter organizes Parquet output by cluster.\n// Each cluster gets its own subdirectory with a cluster.json config file.\ntype ClusterAwareParquetWriter struct {\n\ttarget       ParquetTarget\n\tmaxSizeMB    int\n\twriters      map[string]*ParquetWriter\n\tclusterCfgs  map[string]*schema.Cluster\n}\n\n// NewClusterAwareParquetWriter creates a writer that routes jobs to per-cluster ParquetWriters.\nfunc NewClusterAwareParquetWriter(target ParquetTarget, maxSizeMB int) *ClusterAwareParquetWriter {\n\treturn &ClusterAwareParquetWriter{\n\t\ttarget:      target,\n\t\tmaxSizeMB:   maxSizeMB,\n\t\twriters:     make(map[string]*ParquetWriter),\n\t\tclusterCfgs: make(map[string]*schema.Cluster),\n\t}\n}\n\n// SetClusterConfig stores a cluster configuration to be written as cluster.json on Close.\nfunc (cw *ClusterAwareParquetWriter) SetClusterConfig(name string, cfg *schema.Cluster) {\n\tcw.clusterCfgs[name] = cfg\n}\n\n// AddJob routes the job row to the appropriate per-cluster writer.\nfunc (cw *ClusterAwareParquetWriter) AddJob(row ParquetJobRow) error {\n\tcluster := row.Cluster\n\tpw, ok := cw.writers[cluster]\n\tif !ok {\n\t\tpw = NewParquetWriter(&prefixedTarget{inner: cw.target, prefix: cluster}, cw.maxSizeMB)\n\t\tcw.writers[cluster] = pw\n\t}\n\treturn pw.AddJob(row)\n}\n\n// Close writes cluster.json files and flushes all per-cluster writers.\nfunc (cw *ClusterAwareParquetWriter) Close() error {\n\tfor name, cfg := range cw.clusterCfgs {\n\t\tdata, err := json.MarshalIndent(cfg, \"\", \"  \")\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"marshal cluster config %q: %w\", name, err)\n\t\t}\n\t\tif err := cw.target.WriteFile(path.Join(name, \"cluster.json\"), data); err != nil {\n\t\t\treturn fmt.Errorf(\"write cluster.json for %q: %w\", name, err)\n\t\t}\n\t}\n\n\tfor cluster, pw := range cw.writers {\n\t\tif err := pw.Close(); err != nil {\n\t\t\treturn fmt.Errorf(\"close writer for cluster %q: %w\", cluster, err)\n\t\t}\n\t}\n\treturn nil\n}\n","numLines":187,"startLine":1,"totalLines":187}},"sourceToolAssistantUUID":"6ef33ff4-6796-4ef0-b60a-8faf052d22c6","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
+{"parentUuid":"8ba2bd53-1ba2-49e6-a0fb-f32b047d809b","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01Q99KAA21mZfprWFnPEyThq","toolUseID":"toolu_01Q99KAA21mZfprWFnPEyThq","timestamp":"2026-03-18T04:03:08.713Z","uuid":"8a41feef-932a-4fc3-b346-f93343dea5ec","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
+{"parentUuid":"7654bc76-22fd-40c9-80f1-2ca9c5f25c80","isSidechain":false,"promptId":"ba68d540-ba70-4f66-94e7-2c9d72fab3f4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Q99KAA21mZfprWFnPEyThq","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package parquet\n     7→\n     8→import (\n     9→\t\"bytes\"\n    10→\t\"fmt\"\n    11→\t\"time\"\n    12→\n    13→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    14→\tpq \"github.com/parquet-go/parquet-go\"\n    15→)\n    16→\n    17→// NodeStateParquetWriter batches ParquetNodeStateRows and flushes them to a target\n    18→// when the estimated size exceeds maxSizeBytes.\n    19→type NodeStateParquetWriter struct {\n    20→\ttarget       ParquetTarget\n    21→\tmaxSizeBytes int64\n    22→\trows         []ParquetNodeStateRow\n    23→\tcurrentSize  int64\n    24→\tfileCounter  int\n    25→\tdatePrefix   string\n    26→}\n    27→\n    28→// NewNodeStateParquetWriter creates a new writer for node state parquet files.\n    29→func NewNodeStateParquetWriter(target ParquetTarget, maxSizeMB int) *NodeStateParquetWriter {\n    30→\treturn &NodeStateParquetWriter{\n    31→\t\ttarget:       target,\n    32→\t\tmaxSizeBytes: int64(maxSizeMB) * 1024 * 1024,\n    33→\t\tdatePrefix:   time.Now().Format(\"2006-01-02\"),\n    34→\t}\n    35→}\n    36→\n    37→// AddRow adds a row to the current batch. If the estimated batch size\n    38→// exceeds the configured maximum, the batch is flushed first.\n    39→func (pw *NodeStateParquetWriter) AddRow(row ParquetNodeStateRow) error {\n    40→\trowSize := estimateNodeStateRowSize(&row)\n    41→\n    42→\tif pw.currentSize+rowSize > pw.maxSizeBytes && len(pw.rows) > 0 {\n    43→\t\tif err := pw.Flush(); err != nil {\n    44→\t\t\treturn err\n    45→\t\t}\n    46→\t}\n    47→\n    48→\tpw.rows = append(pw.rows, row)\n    49→\tpw.currentSize += rowSize\n    50→\treturn nil\n    51→}\n    52→\n    53→// Flush writes the current batch to a parquet file on the target.\n    54→func (pw *NodeStateParquetWriter) Flush() error {\n    55→\tif len(pw.rows) == 0 {\n    56→\t\treturn nil\n    57→\t}\n    58→\n    59→\tpw.fileCounter++\n    60→\tfileName := fmt.Sprintf(\"cc-nodestate-%s-%03d.parquet\", pw.datePrefix, pw.fileCounter)\n    61→\n    62→\tdata, err := writeNodeStateParquetBytes(pw.rows)\n    63→\tif err != nil {\n    64→\t\treturn fmt.Errorf(\"write parquet buffer: %w\", err)\n    65→\t}\n    66→\n    67→\tif err := pw.target.WriteFile(fileName, data); err != nil {\n    68→\t\treturn fmt.Errorf(\"write parquet file %q: %w\", fileName, err)\n    69→\t}\n    70→\n    71→\tcclog.Infof(\"NodeState retention: wrote %s (%d rows, %d bytes)\", fileName, len(pw.rows), len(data))\n    72→\tpw.rows = pw.rows[:0]\n    73→\tpw.currentSize = 0\n    74→\treturn nil\n    75→}\n    76→\n    77→// Close flushes any remaining rows and finalizes the writer.\n    78→func (pw *NodeStateParquetWriter) Close() error {\n    79→\treturn pw.Flush()\n    80→}\n    81→\n    82→func writeNodeStateParquetBytes(rows []ParquetNodeStateRow) ([]byte, error) {\n    83→\tvar buf bytes.Buffer\n    84→\n    85→\twriter := pq.NewGenericWriter[ParquetNodeStateRow](&buf,\n    86→\t\tpq.Compression(&pq.Zstd),\n    87→\t\tpq.SortingWriterConfig(pq.SortingColumns(\n    88→\t\t\tpq.Ascending(\"cluster\"),\n    89→\t\t\tpq.Ascending(\"subcluster\"),\n    90→\t\t\tpq.Ascending(\"hostname\"),\n    91→\t\t\tpq.Ascending(\"time_stamp\"),\n    92→\t\t)),\n    93→\t)\n    94→\n    95→\tif _, err := writer.Write(rows); err != nil {\n    96→\t\treturn nil, err\n    97→\t}\n    98→\tif err := writer.Close(); err != nil {\n    99→\t\treturn nil, err\n   100→\t}\n   101→\n   102→\treturn buf.Bytes(), nil\n   103→}\n   104→\n   105→func estimateNodeStateRowSize(row *ParquetNodeStateRow) int64 {\n   106→\tsize := int64(100) // fixed numeric fields\n   107→\tsize += int64(len(row.NodeState) + len(row.HealthState) + len(row.HealthMetrics))\n   108→\tsize += int64(len(row.Hostname) + len(row.Cluster) + len(row.SubCluster))\n   109→\treturn size\n   110→}\n   111→"}]},"uuid":"8659aa34-8044-491f-8e19-4b28746ae9dc","timestamp":"2026-03-18T04:03:08.713Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/nodestate_writer.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage parquet\n\nimport (\n\t\"bytes\"\n\t\"fmt\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\n// NodeStateParquetWriter batches ParquetNodeStateRows and flushes them to a target\n// when the estimated size exceeds maxSizeBytes.\ntype NodeStateParquetWriter struct {\n\ttarget       ParquetTarget\n\tmaxSizeBytes int64\n\trows         []ParquetNodeStateRow\n\tcurrentSize  int64\n\tfileCounter  int\n\tdatePrefix   string\n}\n\n// NewNodeStateParquetWriter creates a new writer for node state parquet files.\nfunc NewNodeStateParquetWriter(target ParquetTarget, maxSizeMB int) *NodeStateParquetWriter {\n\treturn &NodeStateParquetWriter{\n\t\ttarget:       target,\n\t\tmaxSizeBytes: int64(maxSizeMB) * 1024 * 1024,\n\t\tdatePrefix:   time.Now().Format(\"2006-01-02\"),\n\t}\n}\n\n// AddRow adds a row to the current batch. If the estimated batch size\n// exceeds the configured maximum, the batch is flushed first.\nfunc (pw *NodeStateParquetWriter) AddRow(row ParquetNodeStateRow) error {\n\trowSize := estimateNodeStateRowSize(&row)\n\n\tif pw.currentSize+rowSize > pw.maxSizeBytes && len(pw.rows) > 0 {\n\t\tif err := pw.Flush(); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tpw.rows = append(pw.rows, row)\n\tpw.currentSize += rowSize\n\treturn nil\n}\n\n// Flush writes the current batch to a parquet file on the target.\nfunc (pw *NodeStateParquetWriter) Flush() error {\n\tif len(pw.rows) == 0 {\n\t\treturn nil\n\t}\n\n\tpw.fileCounter++\n\tfileName := fmt.Sprintf(\"cc-nodestate-%s-%03d.parquet\", pw.datePrefix, pw.fileCounter)\n\n\tdata, err := writeNodeStateParquetBytes(pw.rows)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"write parquet buffer: %w\", err)\n\t}\n\n\tif err := pw.target.WriteFile(fileName, data); err != nil {\n\t\treturn fmt.Errorf(\"write parquet file %q: %w\", fileName, err)\n\t}\n\n\tcclog.Infof(\"NodeState retention: wrote %s (%d rows, %d bytes)\", fileName, len(pw.rows), len(data))\n\tpw.rows = pw.rows[:0]\n\tpw.currentSize = 0\n\treturn nil\n}\n\n// Close flushes any remaining rows and finalizes the writer.\nfunc (pw *NodeStateParquetWriter) Close() error {\n\treturn pw.Flush()\n}\n\nfunc writeNodeStateParquetBytes(rows []ParquetNodeStateRow) ([]byte, error) {\n\tvar buf bytes.Buffer\n\n\twriter := pq.NewGenericWriter[ParquetNodeStateRow](&buf,\n\t\tpq.Compression(&pq.Zstd),\n\t\tpq.SortingWriterConfig(pq.SortingColumns(\n\t\t\tpq.Ascending(\"cluster\"),\n\t\t\tpq.Ascending(\"subcluster\"),\n\t\t\tpq.Ascending(\"hostname\"),\n\t\t\tpq.Ascending(\"time_stamp\"),\n\t\t)),\n\t)\n\n\tif _, err := writer.Write(rows); err != nil {\n\t\treturn nil, err\n\t}\n\tif err := writer.Close(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn buf.Bytes(), nil\n}\n\nfunc estimateNodeStateRowSize(row *ParquetNodeStateRow) int64 {\n\tsize := int64(100) // fixed numeric fields\n\tsize += int64(len(row.NodeState) + len(row.HealthState) + len(row.HealthMetrics))\n\tsize += int64(len(row.Hostname) + len(row.Cluster) + len(row.SubCluster))\n\treturn size\n}\n","numLines":111,"startLine":1,"totalLines":111}},"sourceToolAssistantUUID":"7654bc76-22fd-40c9-80f1-2ca9c5f25c80","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"faff2a5f-39cf-41be-86c5-6881ede8648f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_019UTA1PjoxLMwNcZgvy9yF8","type":"message","role":"assistant","content":[{"type":"text","text":"Let me check the default `maxSizeMB` values and the row schemas to assess the severity."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4503,"cache_read_input_tokens":42858,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4503},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ9t59U86JZXpoB3ce9Bp","type":"assistant","uuid":"c09f2346-0454-4886-992d-9909d6ad37cb","timestamp":"2026-03-18T04:03:22.128Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"d3ad8e22-3b2e-4bec-8879-dc19d4acfa97","isSidechain":false,"promptId":"ba68d540-ba70-4f66-94e7-2c9d72fab3f4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XqChKEwwhYbMpP5zPDcwMG","type":"tool_result","content":"/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-424-\n/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-425-// convertJSONToParquet converts a JSON archive backend to parquet format.\ntools/archive-manager/main.go:426:func convertJSONToParquet(srcBackend archive.ArchiveBackend, dstCfg sourceConfig, maxSizeMB int) error {\ntools/archive-manager/main.go-427-\ttarget, err := createParquetTarget(dstCfg)\n/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-428-\tif err != nil {\n--\n/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-430-\t}\n/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-431-\ntools/archive-manager/main.go:432:\tcw := pqarchive.NewClusterAwareParquetWriter(target, maxSizeMB)\n/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-433-\n/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-434-\t// Transfer cluster configs\n--\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-30-\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-31-// NewParquetWriter creates a new writer that flushes batches to the given target.\npkg/archive/parquet/writer.go:32:// maxSizeMB sets the approximate maximum size per parquet file in megabytes.\npkg/archive/parquet/writer.go:33:func NewParquetWriter(target ParquetTarget, maxSizeMB int) *ParquetWriter {\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-34-\treturn &ParquetWriter{\npkg/archive/parquet/writer.go-35-\t\ttarget:       target,\npkg/archive/parquet/writer.go:36:\t\tmaxSizeBytes: int64(maxSizeMB) * 1024 * 1024,\npkg/archive/parquet/writer.go-37-\t\tdatePrefix:   time.Now().Format(\"2006-01-02\"),\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-38-\t}\n--\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-135-type ClusterAwareParquetWriter struct {\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-136-\ttarget       ParquetTarget\npkg/archive/parquet/writer.go:137:\tmaxSizeMB    int\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-138-\twriters      map[string]*ParquetWriter\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-139-\tclusterCfgs  map[string]*schema.Cluster\n--\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-141-\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-142-// NewClusterAwareParquetWriter creates a writer that routes jobs to per-cluster ParquetWriters.\npkg/archive/parquet/writer.go:143:func NewClusterAwareParquetWriter(target ParquetTarget, maxSizeMB int) *ClusterAwareParquetWriter {\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-144-\treturn &ClusterAwareParquetWriter{\npkg/archive/parquet/writer.go-145-\t\ttarget:      target,\npkg/archive/parquet/writer.go:146:\t\tmaxSizeMB:   maxSizeMB,\npkg/archive/parquet/writer.go-147-\t\twriters:     make(map[string]*ParquetWriter),\npkg/archive/parquet/writer.go-148-\t\tclusterCfgs: make(map[string]*schema.Cluster),\n--\npkg/archive/parquet/writer.go-160-\tpw, ok := cw.writers[cluster]\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-161-\tif !ok {\npkg/archive/parquet/writer.go:162:\t\tpw = NewParquetWriter(&prefixedTarget{inner: cw.target, prefix: cluster}, cw.maxSizeMB)\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-163-\t\tcw.writers[cluster] = pw\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-164-\t}\n--\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/nodestate_writer.go-27-\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/nodestate_writer.go-28-// NewNodeStateParquetWriter creates a new writer for node state parquet files.\npkg/archive/parquet/nodestate_writer.go:29:func NewNodeStateParquetWriter(target ParquetTarget, maxSizeMB int) *NodeStateParquetWriter {\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/nodestate_writer.go-30-\treturn &NodeStateParquetWriter{\npkg/archive/parquet/nodestate_writer.go-31-\t\ttarget:       target,\npkg/archive/parquet/nodestate_writer.go:32:\t\tmaxSizeBytes: int64(maxSizeMB) * 1024 * 1024,\npkg/archive/parquet/nodestate_writer.go-33-\t\tdatePrefix:   time.Now().Format(\"2006-01-02\"),\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/nodestate_writer.go-34-\t}\n--\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-106-\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-107-// transferJobsParquet converts jobs to Parquet format, organized by cluster.\ninternal/taskmanager/retentionService.go:108:func transferJobsParquet(jobs []*schema.Job, src archive.ArchiveBackend, target pqarchive.ParquetTarget, maxSizeMB int) error {\ninternal/taskmanager/retentionService.go:109:\tcw := pqarchive.NewClusterAwareParquetWriter(target, maxSizeMB)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-110-\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-111-\t// Set cluster configs for all clusters referenced by jobs"}]},"uuid":"28d33adb-22ad-4be4-bbaf-c470ef67fa84","timestamp":"2026-03-18T04:03:23.582Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-424-\n/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-425-// convertJSONToParquet converts a JSON archive backend to parquet format.\ntools/archive-manager/main.go:426:func convertJSONToParquet(srcBackend archive.ArchiveBackend, dstCfg sourceConfig, maxSizeMB int) error {\ntools/archive-manager/main.go-427-\ttarget, err := createParquetTarget(dstCfg)\n/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-428-\tif err != nil {\n--\n/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-430-\t}\n/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-431-\ntools/archive-manager/main.go:432:\tcw := pqarchive.NewClusterAwareParquetWriter(target, maxSizeMB)\n/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-433-\n/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-434-\t// Transfer cluster configs\n--\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-30-\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-31-// NewParquetWriter creates a new writer that flushes batches to the given target.\npkg/archive/parquet/writer.go:32:// maxSizeMB sets the approximate maximum size per parquet file in megabytes.\npkg/archive/parquet/writer.go:33:func NewParquetWriter(target ParquetTarget, maxSizeMB int) *ParquetWriter {\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-34-\treturn &ParquetWriter{\npkg/archive/parquet/writer.go-35-\t\ttarget:       target,\npkg/archive/parquet/writer.go:36:\t\tmaxSizeBytes: int64(maxSizeMB) * 1024 * 1024,\npkg/archive/parquet/writer.go-37-\t\tdatePrefix:   time.Now().Format(\"2006-01-02\"),\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-38-\t}\n--\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-135-type ClusterAwareParquetWriter struct {\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-136-\ttarget       ParquetTarget\npkg/archive/parquet/writer.go:137:\tmaxSizeMB    int\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-138-\twriters      map[string]*ParquetWriter\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-139-\tclusterCfgs  map[string]*schema.Cluster\n--\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-141-\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-142-// NewClusterAwareParquetWriter creates a writer that routes jobs to per-cluster ParquetWriters.\npkg/archive/parquet/writer.go:143:func NewClusterAwareParquetWriter(target ParquetTarget, maxSizeMB int) *ClusterAwareParquetWriter {\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-144-\treturn &ClusterAwareParquetWriter{\npkg/archive/parquet/writer.go-145-\t\ttarget:      target,\npkg/archive/parquet/writer.go:146:\t\tmaxSizeMB:   maxSizeMB,\npkg/archive/parquet/writer.go-147-\t\twriters:     make(map[string]*ParquetWriter),\npkg/archive/parquet/writer.go-148-\t\tclusterCfgs: make(map[string]*schema.Cluster),\n--\npkg/archive/parquet/writer.go-160-\tpw, ok := cw.writers[cluster]\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-161-\tif !ok {\npkg/archive/parquet/writer.go:162:\t\tpw = NewParquetWriter(&prefixedTarget{inner: cw.target, prefix: cluster}, cw.maxSizeMB)\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-163-\t\tcw.writers[cluster] = pw\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-164-\t}\n--\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/nodestate_writer.go-27-\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/nodestate_writer.go-28-// NewNodeStateParquetWriter creates a new writer for node state parquet files.\npkg/archive/parquet/nodestate_writer.go:29:func NewNodeStateParquetWriter(target ParquetTarget, maxSizeMB int) *NodeStateParquetWriter {\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/nodestate_writer.go-30-\treturn &NodeStateParquetWriter{\npkg/archive/parquet/nodestate_writer.go-31-\t\ttarget:       target,\npkg/archive/parquet/nodestate_writer.go:32:\t\tmaxSizeBytes: int64(maxSizeMB) * 1024 * 1024,\npkg/archive/parquet/nodestate_writer.go-33-\t\tdatePrefix:   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`parquet:\"tags_json,optional\"`\npkg/archive/parquet/schema.go-28-\tMetaDataJSON   []byte  `parquet:\"meta_data_json,optional\"`\npkg/archive/parquet/schema.go-29-\tFootprintJSON  []byte  `parquet:\"footprint_json,optional\"`\npkg/archive/parquet/schema.go-30-\tEnergyFootJSON []byte  `parquet:\"energy_footprint_json,optional\"`\npkg/archive/parquet/schema.go-31-\tMetricDataGz   []byte  `parquet:\"metric_data_gz\"`\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/schema.go-32-}\n--\npkg/archive/parquet/nodestate_schema.go:8:type ParquetNodeStateRow struct {\npkg/archive/parquet/nodestate_schema.go-9-\tTimeStamp       int64  `parquet:\"time_stamp\"`\npkg/archive/parquet/nodestate_schema.go-10-\tNodeState       string `parquet:\"node_state\"`\npkg/archive/parquet/nodestate_schema.go-11-\tHealthState     string `parquet:\"health_state\"`\npkg/archive/parquet/nodestate_schema.go-12-\tHealthMetrics   string `parquet:\"health_metrics,optional\"`\npkg/archive/parquet/nodestate_schema.go-13-\tCpusAllocated   int32  `parquet:\"cpus_allocated\"`\npkg/archive/parquet/nodestate_schema.go-14-\tMemoryAllocated int64  `parquet:\"memory_allocated\"`\npkg/archive/parquet/nodestate_schema.go-15-\tGpusAllocated   int32  `parquet:\"gpus_allocated\"`\npkg/archive/parquet/nodestate_schema.go-16-\tJobsRunning     int32  `parquet:\"jobs_running\"`\npkg/archive/parquet/nodestate_schema.go-17-\tHostname        string `parquet:\"hostname\"`\npkg/archive/parquet/nodestate_schema.go-18-\tCluster         string `parquet:\"cluster\"`\npkg/archive/parquet/nodestate_schema.go-19-\tSubCluster      string `parquet:\"subcluster\"`\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/nodestate_schema.go-20-}"}]},"uuid":"6ea7820f-c174-412f-8fa6-257028300636","timestamp":"2026-03-18T04:03:24.062Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"pkg/archive/parquet/schema.go:8:type ParquetJobRow struct {\npkg/archive/parquet/schema.go-9-\tJobID          int64   `parquet:\"job_id\"`\npkg/archive/parquet/schema.go-10-\tCluster        string  `parquet:\"cluster\"`\npkg/archive/parquet/schema.go-11-\tSubCluster     string  `parquet:\"sub_cluster\"`\npkg/archive/parquet/schema.go-12-\tPartition      string  `parquet:\"partition,optional\"`\npkg/archive/parquet/schema.go-13-\tProject        string  `parquet:\"project\"`\npkg/archive/parquet/schema.go-14-\tUser           string  `parquet:\"user\"`\npkg/archive/parquet/schema.go-15-\tState          string  `parquet:\"job_state\"`\npkg/archive/parquet/schema.go-16-\tStartTime      int64   `parquet:\"start_time\"`\npkg/archive/parquet/schema.go-17-\tDuration       int32   `parquet:\"duration\"`\npkg/archive/parquet/schema.go-18-\tWalltime       int64   `parquet:\"walltime\"`\npkg/archive/parquet/schema.go-19-\tNumNodes       int32   `parquet:\"num_nodes\"`\npkg/archive/parquet/schema.go-20-\tNumHWThreads   int32   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err != nil {\ninternal/taskmanager/retentionService.go-266-\t\t\t\t\t\tcclog.Errorf(\"Retention copy: parquet transfer: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-267-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-268-\t\t\t\t\t}\n--\ninternal/taskmanager/retentionService.go-313-\t\t\t\t\t\tcclog.Errorf(\"Retention move: create parquet target: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-314-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-315-\t\t\t\t\t}\ninternal/taskmanager/retentionService.go:316:\t\t\t\t\tif err := transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\ninternal/taskmanager/retentionService.go-317-\t\t\t\t\t\tcclog.Errorf(\"Retention move: parquet transfer: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-318-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-319-\t\t\t\t\t}\n--\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-83-\t\t\t\t}\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-84-\ninternal/taskmanager/nodestateRetentionService.go-85-\t\t\t\tcclog.Infof(\"NodeState move retention: archiving %d rows\", len(rows))\ninternal/taskmanager/nodestateRetentionService.go:86:\t\t\t\tpw := pqarchive.NewNodeStateParquetWriter(target, maxFileSizeMB)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-87-\ninternal/taskmanager/nodestateRetentionService.go-88-\t\t\t\tfor _, ns := range rows {\ninternal/taskmanager/nodestateRetentionService.go-89-\t\t\t\t\trow := pqarchive.ParquetNodeStateRow{"}]},"uuid":"e26a1aa7-04b9-40bf-ab8c-6d61bb74bd47","timestamp":"2026-03-18T04:03:28.636Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-104-\treturn nil\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-105-}\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-106-\ninternal/taskmanager/retentionService.go:107:// transferJobsParquet converts jobs to Parquet format, organized by cluster.\ninternal/taskmanager/retentionService.go:108:func transferJobsParquet(jobs []*schema.Job, src archive.ArchiveBackend, target pqarchive.ParquetTarget, maxSizeMB int) error {\ninternal/taskmanager/retentionService.go:109:\tcw := pqarchive.NewClusterAwareParquetWriter(target, maxSizeMB)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-110-\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-111-\t// Set cluster configs for all clusters referenced by jobs\ninternal/taskmanager/retentionService.go-112-\tclustersDone := make(map[string]bool)\n--\ninternal/taskmanager/retentionService.go-262-\t\t\t\t\t\tcclog.Errorf(\"Retention copy: create parquet target: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-263-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-264-\t\t\t\t\t}\ninternal/taskmanager/retentionService.go:265:\t\t\t\t\tif err := transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\ninternal/taskmanager/retentionService.go-266-\t\t\t\t\t\tcclog.Errorf(\"Retention copy: parquet transfer: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-267-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-268-\t\t\t\t\t}\n--\ninternal/taskmanager/retentionService.go-313-\t\t\t\t\t\tcclog.Errorf(\"Retention move: create parquet target: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-314-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-315-\t\t\t\t\t}\ninternal/taskmanager/retentionService.go:316:\t\t\t\t\tif err := transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\ninternal/taskmanager/retentionService.go-317-\t\t\t\t\t\tcclog.Errorf(\"Retention move: parquet transfer: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-318-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-319-\t\t\t\t\t}\n--\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-83-\t\t\t\t}\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-84-\ninternal/taskmanager/nodestateRetentionService.go-85-\t\t\t\tcclog.Infof(\"NodeState move retention: archiving %d rows\", len(rows))\ninternal/taskmanager/nodestateRetentionService.go:86:\t\t\t\tpw := pqarchive.NewNodeStateParquetWriter(target, maxFileSizeMB)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-87-\ninternal/taskmanager/nodestateRetentionService.go-88-\t\t\t\tfor _, ns := range rows {\ninternal/taskmanager/nodestateRetentionService.go-89-\t\t\t\t\trow := pqarchive.ParquetNodeStateRow{","numLines":33},"sourceToolAssistantUUID":"474b99b3-f593-4755-b27a-b8e4dd79d876","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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err != nil {\ninternal/taskmanager/retentionService.go-266-\t\t\t\t\t\tcclog.Errorf(\"Retention copy: parquet transfer: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-267-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-268-\t\t\t\t\t}\n--\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-285-func RegisterRetentionMoveService(cfg Retention) {\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-286-\tcclog.Infof(\"Register retention move service (format=%s, target=%s)\", cfg.Format, cfg.TargetKind)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-287-\ninternal/taskmanager/retentionService.go:288:\tmaxFileSizeMB := cfg.MaxFileSizeMB\ninternal/taskmanager/retentionService.go:289:\tif maxFileSizeMB <= 0 {\ninternal/taskmanager/retentionService.go:290:\t\tmaxFileSizeMB = 512\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-291-\t}\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-292-\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-293-\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(5, 0, 0))),\n--\ninternal/taskmanager/retentionService.go-313-\t\t\t\t\t\tcclog.Errorf(\"Retention move: create parquet target: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-314-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-315-\t\t\t\t\t}\ninternal/taskmanager/retentionService.go:316:\t\t\t\t\tif err := transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\ninternal/taskmanager/retentionService.go-317-\t\t\t\t\t\tcclog.Errorf(\"Retention move: parquet transfer: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-318-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-319-\t\t\t\t\t}\n--\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-35-func RegisterNodeStateRetentionMoveService(cfg *config.NodeStateRetention) {\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-36-\tcclog.Info(\"Register node state retention move service\")\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-37-\ninternal/taskmanager/nodestateRetentionService.go:38:\tmaxFileSizeMB := cfg.MaxFileSizeMB\ninternal/taskmanager/nodestateRetentionService.go:39:\tif maxFileSizeMB <= 0 {\ninternal/taskmanager/nodestateRetentionService.go:40:\t\tmaxFileSizeMB = 128\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-41-\t}\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-42-\ninternal/taskmanager/nodestateRetentionService.go-43-\tageHours := cfg.Age\n--\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-83-\t\t\t\t}\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-84-\ninternal/taskmanager/nodestateRetentionService.go-85-\t\t\t\tcclog.Infof(\"NodeState move retention: archiving %d rows\", len(rows))\ninternal/taskmanager/nodestateRetentionService.go:86:\t\t\t\tpw := pqarchive.NewNodeStateParquetWriter(target, maxFileSizeMB)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-87-\ninternal/taskmanager/nodestateRetentionService.go-88-\t\t\t\tfor _, ns := range rows {\ninternal/taskmanager/nodestateRetentionService.go-89-\t\t\t\t\trow := pqarchive.ParquetNodeStateRow{"}]},"uuid":"392fddf0-3e00-4ec8-abb9-b655845479a1","timestamp":"2026-03-18T04:03:41.650Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-232-func RegisterRetentionCopyService(cfg Retention) {\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-233-\tcclog.Infof(\"Register retention copy service (format=%s, target=%s)\", cfg.Format, cfg.TargetKind)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-234-\ninternal/taskmanager/retentionService.go:235:\tmaxFileSizeMB := cfg.MaxFileSizeMB\ninternal/taskmanager/retentionService.go:236:\tif maxFileSizeMB <= 0 {\ninternal/taskmanager/retentionService.go:237:\t\tmaxFileSizeMB = 512\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-238-\t}\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-239-\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-240-\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(4, 0, 0))),\n--\ninternal/taskmanager/retentionService.go-262-\t\t\t\t\t\tcclog.Errorf(\"Retention copy: create parquet target: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-263-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-264-\t\t\t\t\t}\ninternal/taskmanager/retentionService.go:265:\t\t\t\t\tif err := transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\ninternal/taskmanager/retentionService.go-266-\t\t\t\t\t\tcclog.Errorf(\"Retention copy: parquet transfer: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-267-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-268-\t\t\t\t\t}\n--\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-285-func RegisterRetentionMoveService(cfg Retention) {\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-286-\tcclog.Infof(\"Register retention move service (format=%s, target=%s)\", cfg.Format, cfg.TargetKind)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-287-\ninternal/taskmanager/retentionService.go:288:\tmaxFileSizeMB := cfg.MaxFileSizeMB\ninternal/taskmanager/retentionService.go:289:\tif maxFileSizeMB <= 0 {\ninternal/taskmanager/retentionService.go:290:\t\tmaxFileSizeMB = 512\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-291-\t}\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-292-\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-293-\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(5, 0, 0))),\n--\ninternal/taskmanager/retentionService.go-313-\t\t\t\t\t\tcclog.Errorf(\"Retention move: create parquet target: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-314-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-315-\t\t\t\t\t}\ninternal/taskmanager/retentionService.go:316:\t\t\t\t\tif err := transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\ninternal/taskmanager/retentionService.go-317-\t\t\t\t\t\tcclog.Errorf(\"Retention move: parquet transfer: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-318-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-319-\t\t\t\t\t}\n--\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-35-func RegisterNodeStateRetentionMoveService(cfg *config.NodeStateRetention) {\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-36-\tcclog.Info(\"Register node state retention move service\")\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-37-\ninternal/taskmanager/nodestateRetentionService.go:38:\tmaxFileSizeMB := cfg.MaxFileSizeMB\ninternal/taskmanager/nodestateRetentionService.go:39:\tif maxFileSizeMB <= 0 {\ninternal/taskmanager/nodestateRetentionService.go:40:\t\tmaxFileSizeMB = 128\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-41-\t}\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-42-\ninternal/taskmanager/nodestateRetentionService.go-43-\tageHours := cfg.Age\n--\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-83-\t\t\t\t}\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-84-\ninternal/taskmanager/nodestateRetentionService.go-85-\t\t\t\tcclog.Infof(\"NodeState move retention: archiving %d rows\", len(rows))\ninternal/taskmanager/nodestateRetentionService.go:86:\t\t\t\tpw := pqarchive.NewNodeStateParquetWriter(target, maxFileSizeMB)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-87-\ninternal/taskmanager/nodestateRetentionService.go-88-\t\t\t\tfor _, ns := range rows {\ninternal/taskmanager/nodestateRetentionService.go-89-\t\t\t\t\trow := pqarchive.ParquetNodeStateRow{","numLines":53},"sourceToolAssistantUUID":"3c6b8884-7d9f-4116-803f-8edf5fb39fe7","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"0e523105-a262-4da4-8ce0-de57188c6867","isSidechain":false,"promptId":"ba68d540-ba70-4f66-94e7-2c9d72fab3f4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RkUewSYmhcoRrM7YPKM3gb","type":"tool_result","content":"     1→# Fix: Memory Escalation in flattenCheckpointFile (68GB+)\n     2→\n     3→## Context\n     4→\n     5→Production gops shows `flattenCheckpointFile` allocating 68GB+ (74.89% of memory). The archiving pipeline accumulates ALL metric data from ALL hosts into a single `[]ParquetMetricRow` slice before writing to Parquet. For large HPC clusters this is catastrophic. Additionally, the `SortingWriterConfig` in the parquet writer buffers everything again internally.\n     6→\n     7→## Root Cause\n     8→\n     9→Two-layer unbounded accumulation:\n    10→\n    11→1. **`archive.go:239-242`**: `allRows = append(allRows, r.rows...)` merges every host's rows into one giant slice\n    12→2. **`parquetArchive.go:108-116`**: `SortingWriterConfig` creates a sorting writer that buffers ALL rows until `Close()`\n    13→3. **`parquetArchive.go:199`**: `var rows []ParquetMetricRow` starts at zero capacity, grows via append doubling\n    14→\n    15→Peak memory = (all hosts' rows) + (sorting writer copy) + (append overhead) = ~3x raw data size.\n    16→\n    17→## Fix: Stream per-host to parquet writer\n    18→\n    19→Instead of accumulating all rows, write each host's data as a separate row group.\n    20→\n    21→### Step 1: Add streaming parquet writer (`parquetArchive.go`)\n    22→\n    23→Replace `writeParquetArchive(filename, rows)` with a struct that supports incremental writes:\n    24→\n    25→```go\n    26→type parquetArchiveWriter struct {\n    27→    writer *pq.GenericWriter[ParquetMetricRow]\n    28→    bw     *bufio.Writer\n    29→    f      *os.File\n    30→    count  int\n    31→}\n    32→\n    33→func newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error)\n    34→func (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error  // Write + Flush (creates row group)\n    35→func (w *parquetArchiveWriter) Close() error\n    36→```\n    37→\n    38→- **Remove `SortingWriterConfig`** - no global sort buffer\n    39→- Sort each host's rows in-place with `sort.Slice` before writing (cheap: single host data)\n    40→- Each `Flush()` creates a separate row group per host\n    41→\n    42→### Step 2: Add row count estimation (`parquetArchive.go`)\n    43→\n    44→```go\n    45→func estimateRowCount(cf *CheckpointFile) int\n    46→```\n    47→\n    48→Pre-allocate `rows` slice in `archiveCheckpointsToParquet` to avoid append doubling per host.\n    49→\n    50→### Step 3: Restructure `archiveCheckpoints` (`archive.go`)\n    51→\n    52→Change from:\n    53→```\n    54→workers → channel → accumulate allRows → writeParquetArchive(allRows)\n    55→```\n    56→\n    57→To:\n    58→```\n    59→open writer → workers → channel → for each host: sort rows, writer.WriteHostRows(rows) → close writer\n    60→```\n    61→\n    62→- Only one host's rows in memory at a time\n    63→- Track `files`/`dir` for deletion separately (don't retain rows)\n    64→- Check `writer.count > 0` instead of `len(allRows) == 0`\n    65→\n    66→### Step 4: Update test (`parquetArchive_test.go`)\n    67→\n    68→- `TestParquetArchiveRoundtrip`: use new streaming writer API\n    69→- Keep `archiveCheckpointsToParquet` returning rows (it's per-host, manageable size)\n    70→\n    71→## Files to Modify\n    72→\n    73→- **`pkg/metricstore/parquetArchive.go`**: Add `parquetArchiveWriter`, `estimateRowCount`; remove `writeParquetArchive`; add `\"sort\"` import\n    74→- **`pkg/metricstore/archive.go`**: Restructure `archiveCheckpoints` to stream\n    75→- **`pkg/metricstore/parquetArchive_test.go`**: Update roundtrip test\n    76→\n    77→## Memory Impact\n    78→\n    79→- **Before**: All hosts in memory (~40GB for 256 nodes) + sorting buffer (~40GB) = 68GB+\n    80→- **After**: One host at a time (~16MB) + parquet page buffer (~1MB) = ~17MB peak\n    81→\n    82→## Sorting Tradeoff\n    83→\n    84→The output changes from one globally-sorted row group to N row groups (one per host), each internally sorted by (metric, timestamp). This is actually better for ClusterCockpit's per-host query patterns (enables row group skipping).\n    85→\n    86→## Verification\n    87→\n    88→```bash\n    89→go test -v ./pkg/metricstore/...\n    90→```\n    91→\n    92→Also verify with `go vet ./pkg/metricstore/...` for correctness.\n    93→"}]},"uuid":"820ca3ba-c7a2-4bca-9937-7389eb28a4f0","timestamp":"2026-03-18T04:03:47.129Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/.claude/plans/shimmering-wandering-flurry.md","content":"# Fix: Memory Escalation in flattenCheckpointFile (68GB+)\n\n## Context\n\nProduction gops shows `flattenCheckpointFile` allocating 68GB+ (74.89% of memory). The archiving pipeline accumulates ALL metric data from ALL hosts into a single `[]ParquetMetricRow` slice before writing to Parquet. For large HPC clusters this is catastrophic. Additionally, the `SortingWriterConfig` in the parquet writer buffers everything again internally.\n\n## Root Cause\n\nTwo-layer unbounded accumulation:\n\n1. **`archive.go:239-242`**: `allRows = append(allRows, r.rows...)` merges every host's rows into one giant slice\n2. **`parquetArchive.go:108-116`**: `SortingWriterConfig` creates a sorting writer that buffers ALL rows until `Close()`\n3. **`parquetArchive.go:199`**: `var rows []ParquetMetricRow` starts at zero capacity, grows via append doubling\n\nPeak memory = (all hosts' rows) + (sorting writer copy) + (append overhead) = ~3x raw data size.\n\n## Fix: Stream per-host to parquet writer\n\nInstead of accumulating all rows, write each host's data as a separate row group.\n\n### Step 1: Add streaming parquet writer (`parquetArchive.go`)\n\nReplace `writeParquetArchive(filename, rows)` with a struct that supports incremental writes:\n\n```go\ntype parquetArchiveWriter struct {\n    writer *pq.GenericWriter[ParquetMetricRow]\n    bw     *bufio.Writer\n    f      *os.File\n    count  int\n}\n\nfunc newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error)\nfunc (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error  // Write + Flush (creates row group)\nfunc (w *parquetArchiveWriter) Close() error\n```\n\n- **Remove `SortingWriterConfig`** - no global sort buffer\n- Sort each host's rows in-place with `sort.Slice` before writing (cheap: single host data)\n- Each `Flush()` creates a separate row group per host\n\n### Step 2: Add row count estimation (`parquetArchive.go`)\n\n```go\nfunc estimateRowCount(cf *CheckpointFile) int\n```\n\nPre-allocate `rows` slice in `archiveCheckpointsToParquet` to avoid append doubling per host.\n\n### Step 3: Restructure `archiveCheckpoints` (`archive.go`)\n\nChange from:\n```\nworkers → channel → accumulate allRows → writeParquetArchive(allRows)\n```\n\nTo:\n```\nopen writer → workers → channel → for each host: sort rows, writer.WriteHostRows(rows) → close writer\n```\n\n- Only one host's rows in memory at a time\n- Track `files`/`dir` for deletion separately (don't retain rows)\n- Check `writer.count > 0` instead of `len(allRows) == 0`\n\n### Step 4: Update test (`parquetArchive_test.go`)\n\n- `TestParquetArchiveRoundtrip`: use new streaming writer API\n- Keep `archiveCheckpointsToParquet` returning rows (it's per-host, manageable size)\n\n## Files to Modify\n\n- **`pkg/metricstore/parquetArchive.go`**: Add `parquetArchiveWriter`, `estimateRowCount`; remove `writeParquetArchive`; add `\"sort\"` import\n- **`pkg/metricstore/archive.go`**: Restructure `archiveCheckpoints` to stream\n- **`pkg/metricstore/parquetArchive_test.go`**: Update roundtrip test\n\n## Memory Impact\n\n- **Before**: All hosts in memory (~40GB for 256 nodes) + sorting buffer (~40GB) = 68GB+\n- **After**: One host at a time (~16MB) + parquet page buffer (~1MB) = ~17MB peak\n\n## Sorting Tradeoff\n\nThe output changes from one globally-sorted row group to N row groups (one per host), each internally sorted by (metric, timestamp). This is actually better for ClusterCockpit's per-host query patterns (enables row group skipping).\n\n## Verification\n\n```bash\ngo test -v ./pkg/metricstore/...\n```\n\nAlso verify with `go vet ./pkg/metricstore/...` for correctness.\n","numLines":93,"startLine":1,"totalLines":93}},"sourceToolAssistantUUID":"0e523105-a262-4da4-8ce0-de57188c6867","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"820ca3ba-c7a2-4bca-9937-7389eb28a4f0","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01EwL47Q2XdLejr1ZgqEBUk4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GedVGpbmUyDDQ8S3jAgoTM","name":"Write","input":{"file_path":"/Users/jan/.claude/plans/shimmering-wandering-flurry.md","content":"# Audit: SortingWriterConfig Memory Doubling in Parquet Writers\n\n## Context\n\nAfter fixing the 68GB+ memory spike in `flattenCheckpointFile` (already implemented on this branch), the user asks whether other parquet writers in the codebase have similar memory issues. Specifically, `SortingWriterConfig` buffers ALL rows internally until `Close()`, effectively doubling memory usage per batch.\n\n## Findings\n\n### 1. Job Retention Writer — moderate risk\n**File**: `pkg/archive/parquet/writer.go:86-106`\n\n`writeParquetBytes()` uses `SortingWriterConfig` with `bytes.Buffer`. The batching via `maxSizeBytes` (default 512MB) caps the damage, but `SortingWriterConfig` still doubles memory within each batch:\n- Peak per-flush = batch rows (~512MB) + sorting writer copy (~512MB) = **~1GB**\n- `ParquetJobRow.MetricDataGz` (compressed metric data blob) can be large, making rows heavy\n\nThe sorting columns are `(sub_cluster, project, start_time)` — this provides marginal compression benefit for already-batched data.\n\n**Mitigation**: Remove `SortingWriterConfig`. Pre-sort `pw.rows` in-place with `sort.Slice` before calling `writer.Write()`. Same output order, no internal copy.\n\n### 2. NodeState Retention Writer — low risk\n**File**: `pkg/archive/parquet/nodestate_writer.go:82-103`\n\nSame pattern: `SortingWriterConfig` in `writeNodeStateParquetBytes()`. Default batch cap is 128MB. `ParquetNodeStateRow` is small (~150 bytes per row), so the doubling yields ~256MB peak at worst. Not catastrophic, but still wasteful.\n\n**Mitigation**: Same fix — pre-sort, remove `SortingWriterConfig`.\n\n### 3. Metric Checkpoint Writer — already fixed\n**File**: `pkg/metricstore/parquetArchive.go`\n\nAlready addressed in the current branch changes. Uses streaming row groups, no `SortingWriterConfig`.\n\n## Recommendation\n\nApply the same pattern used in the checkpoint fix: **pre-sort rows in-place, remove `SortingWriterConfig`**. This halves peak memory per flush in both writers with zero output change.\n\n### Changes\n\n#### `pkg/archive/parquet/writer.go`\n- Add `\"sort\"` import\n- In `writeParquetBytes()`: sort `rows` by `(sub_cluster, project, start_time)` before `writer.Write()`\n- Remove `SortingWriterConfig(...)` from `pq.NewGenericWriter` options\n\n#### `pkg/archive/parquet/nodestate_writer.go`\n- Add `\"sort\"` import\n- In `writeNodeStateParquetBytes()`: sort `rows` by `(cluster, subcluster, hostname, time_stamp)` before `writer.Write()`\n- Remove `SortingWriterConfig(...)` from `pq.NewGenericWriter` options\n\n### Memory Impact\n\n| Writer | Before (peak per flush) | After |\n|--------|------------------------|-------|\n| Job retention | ~2x batch (~1GB at 512MB default) | ~1x batch (~512MB) |\n| NodeState retention | ~2x batch (~256MB at 128MB default) | ~1x batch (~128MB) |\n\n### Verification\n\n```bash\ngo test -v ./pkg/archive/parquet/...\ngo vet ./pkg/archive/parquet/...\n```\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1490,"cache_read_input_tokens":54617,"output_tokens":944,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1490,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ9t7yLFg4b2Cfjvg1ZDm","type":"assistant","uuid":"24b9150b-c58b-4643-90ee-51ca27affb84","timestamp":"2026-03-18T04:04:09.115Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"24b9150b-c58b-4643-90ee-51ca27affb84","isSidechain":false,"promptId":"ba68d540-ba70-4f66-94e7-2c9d72fab3f4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GedVGpbmUyDDQ8S3jAgoTM","type":"tool_result","content":"The file /Users/jan/.claude/plans/shimmering-wandering-flurry.md has been updated successfully."}]},"uuid":"33a3d7d3-f247-4792-bbe0-48205fa9d6b8","timestamp":"2026-03-18T04:04:09.128Z","toolUseResult":{"type":"update","filePath":"/Users/jan/.claude/plans/shimmering-wandering-flurry.md","content":"# Audit: SortingWriterConfig Memory Doubling in Parquet Writers\n\n## Context\n\nAfter fixing the 68GB+ memory spike in `flattenCheckpointFile` (already implemented on this branch), the user asks whether other parquet writers in the codebase have similar memory issues. Specifically, `SortingWriterConfig` buffers ALL rows internally until `Close()`, effectively doubling memory usage per batch.\n\n## Findings\n\n### 1. Job Retention Writer — moderate risk\n**File**: `pkg/archive/parquet/writer.go:86-106`\n\n`writeParquetBytes()` uses `SortingWriterConfig` with `bytes.Buffer`. The batching via `maxSizeBytes` (default 512MB) caps the damage, but `SortingWriterConfig` still doubles memory within each batch:\n- Peak per-flush = batch rows (~512MB) + sorting writer copy (~512MB) = **~1GB**\n- `ParquetJobRow.MetricDataGz` (compressed metric data blob) can be large, making rows heavy\n\nThe sorting columns are `(sub_cluster, project, start_time)` — this provides marginal compression benefit for already-batched data.\n\n**Mitigation**: Remove `SortingWriterConfig`. Pre-sort `pw.rows` in-place with `sort.Slice` before calling `writer.Write()`. Same output order, no internal copy.\n\n### 2. NodeState Retention Writer — low risk\n**File**: `pkg/archive/parquet/nodestate_writer.go:82-103`\n\nSame pattern: `SortingWriterConfig` in `writeNodeStateParquetBytes()`. Default batch cap is 128MB. `ParquetNodeStateRow` is small (~150 bytes per row), so the doubling yields ~256MB peak at worst. Not catastrophic, but still wasteful.\n\n**Mitigation**: Same fix — pre-sort, remove `SortingWriterConfig`.\n\n### 3. Metric Checkpoint Writer — already fixed\n**File**: `pkg/metricstore/parquetArchive.go`\n\nAlready addressed in the current branch changes. Uses streaming row groups, no `SortingWriterConfig`.\n\n## Recommendation\n\nApply the same pattern used in the checkpoint fix: **pre-sort rows in-place, remove `SortingWriterConfig`**. This halves peak memory per flush in both writers with zero output change.\n\n### Changes\n\n#### `pkg/archive/parquet/writer.go`\n- Add `\"sort\"` import\n- In `writeParquetBytes()`: sort `rows` by `(sub_cluster, project, start_time)` before `writer.Write()`\n- Remove `SortingWriterConfig(...)` from `pq.NewGenericWriter` options\n\n#### `pkg/archive/parquet/nodestate_writer.go`\n- Add `\"sort\"` import\n- In `writeNodeStateParquetBytes()`: sort `rows` by `(cluster, subcluster, hostname, time_stamp)` before `writer.Write()`\n- Remove `SortingWriterConfig(...)` from `pq.NewGenericWriter` options\n\n### Memory Impact\n\n| Writer | Before (peak per flush) | After |\n|--------|------------------------|-------|\n| Job retention | ~2x batch (~1GB at 512MB default) | ~1x batch (~512MB) |\n| NodeState retention | ~2x batch (~256MB at 128MB default) | ~1x batch (~128MB) |\n\n### Verification\n\n```bash\ngo test -v ./pkg/archive/parquet/...\ngo vet ./pkg/archive/parquet/...\n```\n","structuredPatch":[{"oldStart":1,"oldLines":92,"newStart":1,"newLines":60,"lines":["-# Fix: Memory Escalation in flattenCheckpointFile (68GB+)","+# Audit: SortingWriterConfig Memory Doubling in Parquet Writers"," "," ## Context"," ","-Production gops shows `flattenCheckpointFile` allocating 68GB+ (74.89% of memory). The archiving pipeline accumulates ALL metric data from ALL hosts into a single `[]ParquetMetricRow` slice before writing to Parquet. For large HPC clusters this is catastrophic. Additionally, the `SortingWriterConfig` in the parquet writer buffers everything again internally.","+After fixing the 68GB+ memory spike in `flattenCheckpointFile` (already implemented on this branch), the user asks whether other parquet writers in the codebase have similar memory issues. Specifically, `SortingWriterConfig` buffers ALL rows internally until `Close()`, effectively doubling memory usage per batch."," ","-## Root Cause","+## Findings"," ","-Two-layer unbounded accumulation:","+### 1. Job Retention Writer — moderate risk","+**File**: `pkg/archive/parquet/writer.go:86-106`"," ","-1. **`archive.go:239-242`**: `allRows = append(allRows, r.rows...)` merges every host's rows into one giant slice","-2. **`parquetArchive.go:108-116`**: `SortingWriterConfig` creates a sorting writer that buffers ALL rows until `Close()`","-3. **`parquetArchive.go:199`**: `var rows []ParquetMetricRow` starts at zero capacity, grows via append doubling","+`writeParquetBytes()` uses `SortingWriterConfig` with `bytes.Buffer`. The batching via `maxSizeBytes` (default 512MB) caps the damage, but `SortingWriterConfig` still doubles memory within each batch:","+- Peak per-flush = batch rows (~512MB) + sorting writer copy (~512MB) = **~1GB**","+- `ParquetJobRow.MetricDataGz` (compressed metric data blob) can be large, making rows heavy"," ","-Peak memory = (all hosts' rows) + (sorting writer copy) + (append overhead) = ~3x raw data size.","+The sorting columns are `(sub_cluster, project, start_time)` — this provides marginal compression benefit for already-batched data."," ","-## Fix: Stream per-host to parquet writer","+**Mitigation**: Remove `SortingWriterConfig`. Pre-sort `pw.rows` in-place with `sort.Slice` before calling `writer.Write()`. Same output order, no internal copy."," ","-Instead of accumulating all rows, write each host's data as a separate row group.","+### 2. NodeState Retention Writer — low risk","+**File**: `pkg/archive/parquet/nodestate_writer.go:82-103`"," ","-### Step 1: Add streaming parquet writer (`parquetArchive.go`)","+Same pattern: `SortingWriterConfig` in `writeNodeStateParquetBytes()`. Default batch cap is 128MB. `ParquetNodeStateRow` is small (~150 bytes per row), so the doubling yields ~256MB peak at worst. Not catastrophic, but still wasteful."," ","-Replace `writeParquetArchive(filename, rows)` with a struct that supports incremental writes:","+**Mitigation**: Same fix — pre-sort, remove `SortingWriterConfig`."," ","-```go","-type parquetArchiveWriter struct {","-    writer *pq.GenericWriter[ParquetMetricRow]","-    bw     *bufio.Writer","-    f      *os.File","-    count  int","-}","+### 3. Metric Checkpoint Writer — already fixed","+**File**: `pkg/metricstore/parquetArchive.go`"," ","-func newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error)","-func (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error  // Write + Flush (creates row group)","-func (w *parquetArchiveWriter) Close() error","-```","+Already addressed in the current branch changes. Uses streaming row groups, no `SortingWriterConfig`."," ","-- **Remove `SortingWriterConfig`** - no global sort buffer","-- Sort each host's rows in-place with `sort.Slice` before writing (cheap: single host data)","-- Each `Flush()` creates a separate row group per host","+## Recommendation"," ","-### Step 2: Add row count estimation (`parquetArchive.go`)","+Apply the same pattern used in the checkpoint fix: **pre-sort rows in-place, remove `SortingWriterConfig`**. This halves peak memory per flush in both writers with zero output change."," ","-```go","-func estimateRowCount(cf *CheckpointFile) int","-```","+### Changes"," ","-Pre-allocate `rows` slice in `archiveCheckpointsToParquet` to avoid append doubling per host.","+#### `pkg/archive/parquet/writer.go`","+- Add `\"sort\"` import","+- In `writeParquetBytes()`: sort `rows` by `(sub_cluster, project, start_time)` before `writer.Write()`","+- Remove `SortingWriterConfig(...)` from `pq.NewGenericWriter` options"," ","-### Step 3: Restructure `archiveCheckpoints` (`archive.go`)","+#### `pkg/archive/parquet/nodestate_writer.go`","+- Add `\"sort\"` import","+- In `writeNodeStateParquetBytes()`: sort `rows` by `(cluster, subcluster, hostname, time_stamp)` before `writer.Write()`","+- Remove `SortingWriterConfig(...)` from `pq.NewGenericWriter` options"," ","-Change from:","-```","-workers → channel → accumulate allRows → writeParquetArchive(allRows)","-```","+### Memory Impact"," ","-To:","-```","-open writer → workers → channel → for each host: sort rows, writer.WriteHostRows(rows) → close writer","-```","+| Writer | Before (peak per flush) | After |","+|--------|------------------------|-------|","+| Job retention | ~2x batch (~1GB at 512MB default) | ~1x batch (~512MB) |","+| NodeState retention | ~2x batch (~256MB at 128MB default) | ~1x batch (~128MB) |"," ","-- Only one host's rows in memory at a time","-- Track `files`/`dir` for deletion separately (don't retain rows)","-- Check `writer.count > 0` instead of `len(allRows) == 0`","+### Verification"," ","-### Step 4: Update test (`parquetArchive_test.go`)","-","-- `TestParquetArchiveRoundtrip`: use new streaming writer API","-- Keep `archiveCheckpointsToParquet` returning rows (it's per-host, manageable size)","-","-## Files to Modify","-","-- **`pkg/metricstore/parquetArchive.go`**: Add `parquetArchiveWriter`, `estimateRowCount`; remove `writeParquetArchive`; add `\"sort\"` import","-- **`pkg/metricstore/archive.go`**: Restructure `archiveCheckpoints` to stream","-- **`pkg/metricstore/parquetArchive_test.go`**: Update roundtrip test","-","-## Memory Impact","-","-- **Before**: All hosts in memory (~40GB for 256 nodes) + sorting buffer (~40GB) = 68GB+","-- **After**: One host at a time (~16MB) + parquet page buffer (~1MB) = ~17MB peak","-","-## Sorting Tradeoff","-","-The output changes from one globally-sorted row group to N row groups (one per host), each internally sorted by (metric, timestamp). This is actually better for ClusterCockpit's per-host query patterns (enables row group skipping).","-","-## Verification","-"," ```bash","-go test -v ./pkg/metricstore/...","+go test -v ./pkg/archive/parquet/...","+go vet ./pkg/archive/parquet/..."," ```","-","-Also verify with `go vet ./pkg/metricstore/...` for correctness."]}],"originalFile":"# Fix: Memory Escalation in flattenCheckpointFile (68GB+)\n\n## Context\n\nProduction gops shows `flattenCheckpointFile` allocating 68GB+ (74.89% of memory). The archiving pipeline accumulates ALL metric data from ALL hosts into a single `[]ParquetMetricRow` slice before writing to Parquet. For large HPC clusters this is catastrophic. Additionally, the `SortingWriterConfig` in the parquet writer buffers everything again internally.\n\n## Root Cause\n\nTwo-layer unbounded accumulation:\n\n1. **`archive.go:239-242`**: `allRows = append(allRows, r.rows...)` merges every host's rows into one giant slice\n2. **`parquetArchive.go:108-116`**: `SortingWriterConfig` creates a sorting writer that buffers ALL rows until `Close()`\n3. **`parquetArchive.go:199`**: `var rows []ParquetMetricRow` starts at zero capacity, grows via append doubling\n\nPeak memory = (all hosts' rows) + (sorting writer copy) + (append overhead) = ~3x raw data size.\n\n## Fix: Stream per-host to parquet writer\n\nInstead of accumulating all rows, write each host's data as a separate row group.\n\n### Step 1: Add streaming parquet writer (`parquetArchive.go`)\n\nReplace `writeParquetArchive(filename, rows)` with a struct that supports incremental writes:\n\n```go\ntype parquetArchiveWriter struct {\n    writer *pq.GenericWriter[ParquetMetricRow]\n    bw     *bufio.Writer\n    f      *os.File\n    count  int\n}\n\nfunc newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error)\nfunc (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error  // Write + Flush (creates row group)\nfunc (w *parquetArchiveWriter) Close() error\n```\n\n- **Remove `SortingWriterConfig`** - no global sort buffer\n- Sort each host's rows in-place with `sort.Slice` before writing (cheap: single host data)\n- Each `Flush()` creates a separate row group per host\n\n### Step 2: Add row count estimation (`parquetArchive.go`)\n\n```go\nfunc estimateRowCount(cf *CheckpointFile) int\n```\n\nPre-allocate `rows` slice in `archiveCheckpointsToParquet` to avoid append doubling per host.\n\n### Step 3: Restructure `archiveCheckpoints` (`archive.go`)\n\nChange from:\n```\nworkers → channel → accumulate allRows → writeParquetArchive(allRows)\n```\n\nTo:\n```\nopen writer → workers → channel → for each host: sort rows, writer.WriteHostRows(rows) → close writer\n```\n\n- Only one host's rows in memory at a time\n- Track `files`/`dir` for deletion separately (don't retain rows)\n- Check `writer.count > 0` instead of `len(allRows) == 0`\n\n### Step 4: Update test (`parquetArchive_test.go`)\n\n- `TestParquetArchiveRoundtrip`: use new streaming writer API\n- Keep `archiveCheckpointsToParquet` returning rows (it's per-host, manageable size)\n\n## Files to Modify\n\n- **`pkg/metricstore/parquetArchive.go`**: Add `parquetArchiveWriter`, `estimateRowCount`; remove `writeParquetArchive`; add `\"sort\"` import\n- **`pkg/metricstore/archive.go`**: Restructure `archiveCheckpoints` to stream\n- **`pkg/metricstore/parquetArchive_test.go`**: Update roundtrip test\n\n## Memory Impact\n\n- **Before**: All hosts in memory (~40GB for 256 nodes) + sorting buffer (~40GB) = 68GB+\n- **After**: One host at a time (~16MB) + parquet page buffer (~1MB) = ~17MB peak\n\n## Sorting Tradeoff\n\nThe output changes from one globally-sorted row group to N row groups (one per host), each internally sorted by (metric, timestamp). This is actually better for ClusterCockpit's per-host query patterns (enables row group skipping).\n\n## Verification\n\n```bash\ngo test -v ./pkg/metricstore/...\n```\n\nAlso verify with `go vet ./pkg/metricstore/...` for correctness.\n"},"sourceToolAssistantUUID":"24b9150b-c58b-4643-90ee-51ca27affb84","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"c87cbba4-6bc3-44a3-b0f3-9a25b8f157c3","isSidechain":false,"promptId":"ba68d540-ba70-4f66-94e7-2c9d72fab3f4","type":"user","message":{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01MB8m76U37bTSZvZgNRPPFn","content":[{"type":"tool_reference","tool_name":"ExitPlanMode"}]}]},"uuid":"e511676b-038b-47e4-add3-f205f7f18fe1","timestamp":"2026-03-18T04:04:14.429Z","toolUseResult":{"matches":["ExitPlanMode"],"query":"select:ExitPlanMode","total_deferred_tools":21},"sourceToolAssistantUUID":"c87cbba4-6bc3-44a3-b0f3-9a25b8f157c3","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
+{"parentUuid":"e511676b-038b-47e4-add3-f205f7f18fe1","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01QxS4Nm7MmwEvvjrAR3tMPq","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nHere's what I found:\n\n**Two other writers use `SortingWriterConfig`**, which doubles memory per batch:\n\n1. **Job retention** (`pkg/archive/parquet/writer.go:89-96`) — batched at 512MB default, but `SortingWriterConfig` doubles it to ~1GB peak per flush. `ParquetJobRow` includes `MetricDataGz []byte` which makes rows heavy.\n\n2. **NodeState retention** (`pkg/archive/parquet/nodestate_writer.go:85-93`) — batched at 128MB default, doubling to ~256MB. Rows are small (~150 bytes), so this is low risk but still wasteful.\n\nNeither is catastrophic like the checkpoint case (which had NO batching at all), because `maxSizeBytes` caps each batch. But the `SortingWriterConfig` still unnecessarily copies all batch rows internally.\n\nThe fix is the same pattern we already used: **pre-sort rows in-place with `sort.Slice`, remove `SortingWriterConfig`**. This halves peak memory per flush with identical output."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1817,"cache_read_input_tokens":56107,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1817},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ9t9z9vXZht2ydikKnox","type":"assistant","uuid":"671c15f1-a9c4-4c55-80b3-6452574319f3","timestamp":"2026-03-18T04:04:25.108Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
+{"parentUuid":"671c15f1-a9c4-4c55-80b3-6452574319f3","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01QxS4Nm7MmwEvvjrAR3tMPq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SKhtziAY4y9pfEEXT7v2BQ","name":"ExitPlanMode","input":{"allowedPrompts":[{"tool":"Bash","prompt":"run tests and vet for pkg/archive/parquet"}],"plan":"# Audit: SortingWriterConfig Memory Doubling in Parquet Writers\n\n## Context\n\nAfter fixing the 68GB+ memory spike in `flattenCheckpointFile` (already implemented on this branch), the user asks whether other parquet writers in the codebase have similar memory issues. Specifically, `SortingWriterConfig` buffers ALL rows internally until `Close()`, effectively doubling memory usage per batch.\n\n## Findings\n\n### 1. Job Retention Writer — moderate risk\n**File**: `pkg/archive/parquet/writer.go:86-106`\n\n`writeParquetBytes()` uses `SortingWriterConfig` with `bytes.Buffer`. The batching via `maxSizeBytes` (default 512MB) caps the damage, but `SortingWriterConfig` still doubles memory within each batch:\n- Peak per-flush = batch rows (~512MB) + sorting writer copy (~512MB) = **~1GB**\n- `ParquetJobRow.MetricDataGz` (compressed metric data blob) can be large, making rows heavy\n\nThe sorting columns are `(sub_cluster, project, start_time)` — this provides marginal compression benefit for already-batched data.\n\n**Mitigation**: Remove `SortingWriterConfig`. Pre-sort `pw.rows` in-place with `sort.Slice` before calling `writer.Write()`. Same output order, no internal copy.\n\n### 2. NodeState Retention Writer — low risk\n**File**: `pkg/archive/parquet/nodestate_writer.go:82-103`\n\nSame pattern: `SortingWriterConfig` in `writeNodeStateParquetBytes()`. Default batch cap is 128MB. `ParquetNodeStateRow` is small (~150 bytes per row), so the doubling yields ~256MB peak at worst. Not catastrophic, but still wasteful.\n\n**Mitigation**: Same fix — pre-sort, remove `SortingWriterConfig`.\n\n### 3. Metric Checkpoint Writer — already fixed\n**File**: `pkg/metricstore/parquetArchive.go`\n\nAlready addressed in the current branch changes. Uses streaming row groups, no `SortingWriterConfig`.\n\n## Recommendation\n\nApply the same pattern used in the checkpoint fix: **pre-sort rows in-place, remove `SortingWriterConfig`**. This halves peak memory per flush in both writers with zero output change.\n\n### Changes\n\n#### `pkg/archive/parquet/writer.go`\n- Add `\"sort\"` import\n- In `writeParquetBytes()`: sort `rows` by `(sub_cluster, project, start_time)` before `writer.Write()`\n- Remove `SortingWriterConfig(...)` from `pq.NewGenericWriter` options\n\n#### `pkg/archive/parquet/nodestate_writer.go`\n- Add `\"sort\"` import\n- In `writeNodeStateParquetBytes()`: sort `rows` by `(cluster, subcluster, hostname, time_stamp)` before `writer.Write()`\n- Remove `SortingWriterConfig(...)` from `pq.NewGenericWriter` options\n\n### Memory Impact\n\n| Writer | Before (peak per flush) | After |\n|--------|------------------------|-------|\n| Job retention | ~2x batch (~1GB at 512MB default) | ~1x batch (~512MB) |\n| NodeState retention | ~2x batch (~256MB at 128MB default) | ~1x batch (~128MB) |\n\n### Verification\n\n```bash\ngo test -v ./pkg/archive/parquet/...\ngo vet ./pkg/archive/parquet/...\n```\n","planFilePath":"/Users/jan/.claude/plans/shimmering-wandering-flurry.md"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1817,"cache_read_input_tokens":56107,"output_tokens":343,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1817,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ9t9z9vXZht2ydikKnox","type":"assistant","uuid":"268c6603-bcb3-4ff1-90c1-3b1ac1b66dba","timestamp":"2026-03-18T04:04:25.885Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"0dd0c6cf-303c-4716-923f-8f885fda22dc","isSidechain":false,"promptId":"818611a2-b158-437a-8bb3-d87143ab3074","type":"user","message":{"role":"user","content":"Compare the archive writer implementation with @~/tmp/cc-backend/pkg/metricstore/parquetArchive.go . Compare and explain differences."},"uuid":"005e5240-d272-4d5d-8788-91359f385c60","timestamp":"2026-03-18T04:15:40.358Z","permissionMode":"plan","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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+{"parentUuid":"7c5c5a50-d691-4409-a21b-afad18cfc15d","isSidechain":false,"promptId":"818611a2-b158-437a-8bb3-d87143ab3074","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Bd4jXeKitPbMrorCxFEA2Z","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package metricstore\n     7→\n     8→import (\n     9→\t\"bufio\"\n    10→\t\"encoding/binary\"\n    11→\t\"encoding/json\"\n    12→\t\"fmt\"\n    13→\t\"os\"\n    14→\t\"path/filepath\"\n    15→\t\"sort\"\n    16→\n    17→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    18→\tpq \"github.com/parquet-go/parquet-go\"\n    19→)\n    20→\n    21→// ParquetMetricRow is the long-format schema for archived metric data.\n    22→// One row per (host, metric, scope, scope_id, timestamp) data point.\n    23→// Sorted by (cluster, hostname, metric, timestamp) for optimal compression.\n    24→type ParquetMetricRow struct {\n    25→\tCluster   string  `parquet:\"cluster\"`\n    26→\tHostname  string  `parquet:\"hostname\"`\n    27→\tMetric    string  `parquet:\"metric\"`\n    28→\tScope     string  `parquet:\"scope\"`\n    29→\tScopeID   string  `parquet:\"scope_id\"`\n    30→\tTimestamp int64   `parquet:\"timestamp\"`\n    31→\tFrequency int64   `parquet:\"frequency\"`\n    32→\tValue     float32 `parquet:\"value\"`\n    33→}\n    34→\n    35→// flattenCheckpointFile recursively converts a CheckpointFile tree into Parquet rows.\n    36→// The scope path is built from the hierarchy: host level is \"node\", then child names\n    37→// map to scope/scope_id (e.g., \"socket0\" → scope=\"socket\", scope_id=\"0\").\n    38→func flattenCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string, rows []ParquetMetricRow) []ParquetMetricRow {\n    39→\tfor metricName, cm := range cf.Metrics {\n    40→\t\tts := cm.Start\n    41→\t\tfor _, v := range cm.Data {\n    42→\t\t\tif !v.IsNaN() {\n    43→\t\t\t\trows = append(rows, ParquetMetricRow{\n    44→\t\t\t\t\tCluster:   cluster,\n    45→\t\t\t\t\tHostname:  hostname,\n    46→\t\t\t\t\tMetric:    metricName,\n    47→\t\t\t\t\tScope:     scope,\n    48→\t\t\t\t\tScopeID:   scopeID,\n    49→\t\t\t\t\tTimestamp: ts,\n    50→\t\t\t\t\tFrequency: cm.Frequency,\n    51→\t\t\t\t\tValue:     float32(v),\n    52→\t\t\t\t})\n    53→\t\t\t}\n    54→\t\t\tts += cm.Frequency\n    55→\t\t}\n    56→\t}\n    57→\n    58→\tfor childName, childCf := range cf.Children {\n    59→\t\tchildScope, childScopeID := parseScopeFromName(childName)\n    60→\t\trows = flattenCheckpointFile(childCf, cluster, hostname, childScope, childScopeID, rows)\n    61→\t}\n    62→\n    63→\treturn rows\n    64→}\n    65→\n    66→// parseScopeFromName infers scope and scope_id from a child level name.\n    67→// Examples: \"socket0\" → (\"socket\", \"0\"), \"core12\" → (\"core\", \"12\"),\n    68→// \"a0\" (accelerator) → (\"accelerator\", \"0\").\n    69→// If the name doesn't match known patterns, it's used as-is for scope with empty scope_id.\n    70→func parseScopeFromName(name string) (string, string) {\n    71→\tprefixes := []struct {\n    72→\t\tprefix string\n    73→\t\tscope  string\n    74→\t}{\n    75→\t\t{\"socket\", \"socket\"},\n    76→\t\t{\"memoryDomain\", \"memoryDomain\"},\n    77→\t\t{\"core\", \"core\"},\n    78→\t\t{\"hwthread\", \"hwthread\"},\n    79→\t\t{\"cpu\", \"hwthread\"},\n    80→\t\t{\"accelerator\", \"accelerator\"},\n    81→\t}\n    82→\n    83→\tfor _, p := range prefixes {\n    84→\t\tif len(name) > len(p.prefix) && name[:len(p.prefix)] == p.prefix {\n    85→\t\t\tid := name[len(p.prefix):]\n    86→\t\t\tif len(id) > 0 && id[0] >= '0' && id[0] <= '9' {\n    87→\t\t\t\treturn p.scope, id\n    88→\t\t\t}\n    89→\t\t}\n    90→\t}\n    91→\n    92→\treturn name, \"\"\n    93→}\n    94→\n    95→// parquetArchiveWriter supports incremental writes to a Parquet file.\n    96→// Each call to WriteHostRows writes one row group (typically one host's data),\n    97→// avoiding accumulation of all rows in memory.\n    98→type parquetArchiveWriter struct {\n    99→\twriter *pq.GenericWriter[ParquetMetricRow]\n   100→\tbw     *bufio.Writer\n   101→\tf      *os.File\n   102→\tcount  int\n   103→}\n   104→\n   105→// newParquetArchiveWriter creates a streaming Parquet writer with Zstd compression.\n   106→func newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error) {\n   107→\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n   108→\t\treturn nil, fmt.Errorf(\"creating archive directory: %w\", err)\n   109→\t}\n   110→\n   111→\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n   112→\tif err != nil {\n   113→\t\treturn nil, fmt.Errorf(\"creating parquet file: %w\", err)\n   114→\t}\n   115→\n   116→\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n   117→\n   118→\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n   119→\t\tpq.Compression(&pq.Zstd),\n   120→\t)\n   121→\n   122→\treturn &parquetArchiveWriter{writer: writer, bw: bw, f: f}, nil\n   123→}\n   124→\n   125→// WriteHostRows sorts rows by (metric, timestamp) in-place, writes them,\n   126→// and flushes to create a separate row group.\n   127→func (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error {\n   128→\tsort.Slice(rows, func(i, j int) bool {\n   129→\t\tif rows[i].Metric != rows[j].Metric {\n   130→\t\t\treturn rows[i].Metric < rows[j].Metric\n   131→\t\t}\n   132→\t\treturn rows[i].Timestamp < rows[j].Timestamp\n   133→\t})\n   134→\n   135→\tif _, err := w.writer.Write(rows); err != nil {\n   136→\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n   137→\t}\n   138→\n   139→\tif err := w.writer.Flush(); err != nil {\n   140→\t\treturn fmt.Errorf(\"flushing parquet row group: %w\", err)\n   141→\t}\n   142→\n   143→\tw.count += len(rows)\n   144→\treturn nil\n   145→}\n   146→\n   147→// Close finalises the Parquet file (footer, buffered I/O, file handle).\n   148→func (w *parquetArchiveWriter) Close() error {\n   149→\tif err := w.writer.Close(); err != nil {\n   150→\t\tw.f.Close()\n   151→\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n   152→\t}\n   153→\n   154→\tif err := w.bw.Flush(); err != nil {\n   155→\t\tw.f.Close()\n   156→\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n   157→\t}\n   158→\n   159→\treturn w.f.Close()\n   160→}\n   161→\n   162→// sortParquetRows sorts rows by (metric, timestamp) in-place.\n   163→func sortParquetRows(rows []ParquetMetricRow) {\n   164→\tsort.Slice(rows, func(i, j int) bool {\n   165→\t\tif rows[i].Metric != rows[j].Metric {\n   166→\t\t\treturn rows[i].Metric < rows[j].Metric\n   167→\t\t}\n   168→\t\treturn rows[i].Timestamp < rows[j].Timestamp\n   169→\t})\n   170→}\n   171→\n   172→// loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns\n   173→// a CheckpointFile. Used by the Parquet archiver to read checkpoint data\n   174→// before converting it to Parquet format.\n   175→func loadCheckpointFileFromDisk(filename string) (*CheckpointFile, error) {\n   176→\tf, err := os.Open(filename)\n   177→\tif err != nil {\n   178→\t\treturn nil, err\n   179→\t}\n   180→\tdefer f.Close()\n   181→\n   182→\text := filepath.Ext(filename)\n   183→\tswitch ext {\n   184→\tcase \".json\":\n   185→\t\tcf := &CheckpointFile{}\n   186→\t\tbr := bufio.NewReader(f)\n   187→\t\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n   188→\t\t\treturn nil, fmt.Errorf(\"decoding JSON checkpoint %s: %w\", filename, err)\n   189→\t\t}\n   190→\t\treturn cf, nil\n   191→\n   192→\tcase \".bin\":\n   193→\t\tbr := bufio.NewReader(f)\n   194→\t\tvar magic uint32\n   195→\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n   196→\t\t\treturn nil, fmt.Errorf(\"reading magic from %s: %w\", filename, err)\n   197→\t\t}\n   198→\t\tif magic != snapFileMagic {\n   199→\t\t\treturn nil, fmt.Errorf(\"invalid snapshot magic in %s: 0x%08X\", filename, magic)\n   200→\t\t}\n   201→\t\tvar fileFrom, fileTo int64\n   202→\t\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n   203→\t\t\treturn nil, fmt.Errorf(\"reading from-timestamp from %s: %w\", filename, err)\n   204→\t\t}\n   205→\t\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n   206→\t\t\treturn nil, fmt.Errorf(\"reading to-timestamp from %s: %w\", filename, err)\n   207→\t\t}\n   208→\t\tcf, err := readBinaryLevel(br)\n   209→\t\tif err != nil {\n   210→\t\t\treturn nil, fmt.Errorf(\"reading binary level from %s: %w\", filename, err)\n   211→\t\t}\n   212→\t\tcf.From = fileFrom\n   213→\t\tcf.To = fileTo\n   214→\t\treturn cf, nil\n   215→\n   216→\tdefault:\n   217→\t\treturn nil, fmt.Errorf(\"unsupported checkpoint extension: %s\", ext)\n   218→\t}\n   219→}\n   220→\n   221→// estimateRowCount estimates the number of Parquet rows a CheckpointFile will produce.\n   222→// Used for pre-allocating the rows slice to avoid repeated append doubling.\n   223→func estimateRowCount(cf *CheckpointFile) int {\n   224→\tn := 0\n   225→\tfor _, cm := range cf.Metrics {\n   226→\t\tn += len(cm.Data)\n   227→\t}\n   228→\tfor _, child := range cf.Children {\n   229→\t\tn += estimateRowCount(child)\n   230→\t}\n   231→\treturn n\n   232→}\n   233→\n   234→// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n   235→// converts them to Parquet rows. Returns the rows and filenames that were processed.\n   236→func archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n   237→\tentries, err := os.ReadDir(dir)\n   238→\tif err != nil {\n   239→\t\treturn nil, nil, err\n   240→\t}\n   241→\n   242→\tfiles, err := findFiles(entries, from, false)\n   243→\tif err != nil {\n   244→\t\treturn nil, nil, err\n   245→\t}\n   246→\n   247→\tif len(files) == 0 {\n   248→\t\treturn nil, nil, nil\n   249→\t}\n   250→\n   251→\t// First pass: load checkpoints and estimate total rows for pre-allocation.\n   252→\ttype loaded struct {\n   253→\t\tcf       *CheckpointFile\n   254→\t\tfilename string\n   255→\t}\n   256→\tvar checkpoints []loaded\n   257→\ttotalEstimate := 0\n   258→\n   259→\tfor _, checkpoint := range files {\n   260→\t\tfilename := filepath.Join(dir, checkpoint)\n   261→\t\tcf, err := loadCheckpointFileFromDisk(filename)\n   262→\t\tif err != nil {\n   263→\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n   264→\t\t\tcontinue\n   265→\t\t}\n   266→\t\ttotalEstimate += estimateRowCount(cf)\n   267→\t\tcheckpoints = append(checkpoints, loaded{cf: cf, filename: checkpoint})\n   268→\t}\n   269→\n   270→\tif len(checkpoints) == 0 {\n   271→\t\treturn nil, nil, nil\n   272→\t}\n   273→\n   274→\trows := make([]ParquetMetricRow, 0, totalEstimate)\n   275→\tprocessedFiles := make([]string, 0, len(checkpoints))\n   276→\n   277→\tfor _, cp := range checkpoints {\n   278→\t\trows = flattenCheckpointFile(cp.cf, cluster, host, \"node\", \"\", rows)\n   279→\t\tprocessedFiles = append(processedFiles, cp.filename)\n   280→\t}\n   281→\n   282→\treturn rows, processedFiles, nil\n   283→}\n   284→"}]},"uuid":"a8ad17a0-acb9-494a-bb7f-a355ea45a0c6","timestamp":"2026-03-18T04:15:45.457Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"encoding/binary\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"sort\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\n// ParquetMetricRow is the long-format schema for archived metric data.\n// One row per (host, metric, scope, scope_id, timestamp) data point.\n// Sorted by (cluster, hostname, metric, timestamp) for optimal compression.\ntype ParquetMetricRow struct {\n\tCluster   string  `parquet:\"cluster\"`\n\tHostname  string  `parquet:\"hostname\"`\n\tMetric    string  `parquet:\"metric\"`\n\tScope     string  `parquet:\"scope\"`\n\tScopeID   string  `parquet:\"scope_id\"`\n\tTimestamp int64   `parquet:\"timestamp\"`\n\tFrequency int64   `parquet:\"frequency\"`\n\tValue     float32 `parquet:\"value\"`\n}\n\n// flattenCheckpointFile recursively converts a CheckpointFile tree into Parquet rows.\n// The scope path is built from the hierarchy: host level is \"node\", then child names\n// map to scope/scope_id (e.g., \"socket0\" → scope=\"socket\", scope_id=\"0\").\nfunc flattenCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string, rows []ParquetMetricRow) []ParquetMetricRow {\n\tfor metricName, cm := range cf.Metrics {\n\t\tts := cm.Start\n\t\tfor _, v := range cm.Data {\n\t\t\tif !v.IsNaN() {\n\t\t\t\trows = append(rows, ParquetMetricRow{\n\t\t\t\t\tCluster:   cluster,\n\t\t\t\t\tHostname:  hostname,\n\t\t\t\t\tMetric:    metricName,\n\t\t\t\t\tScope:     scope,\n\t\t\t\t\tScopeID:   scopeID,\n\t\t\t\t\tTimestamp: ts,\n\t\t\t\t\tFrequency: cm.Frequency,\n\t\t\t\t\tValue:     float32(v),\n\t\t\t\t})\n\t\t\t}\n\t\t\tts += cm.Frequency\n\t\t}\n\t}\n\n\tfor childName, childCf := range cf.Children {\n\t\tchildScope, childScopeID := parseScopeFromName(childName)\n\t\trows = flattenCheckpointFile(childCf, cluster, hostname, childScope, childScopeID, rows)\n\t}\n\n\treturn rows\n}\n\n// parseScopeFromName infers scope and scope_id from a child level name.\n// Examples: \"socket0\" → (\"socket\", \"0\"), \"core12\" → (\"core\", \"12\"),\n// \"a0\" (accelerator) → (\"accelerator\", \"0\").\n// If the name doesn't match known patterns, it's used as-is for scope with empty scope_id.\nfunc parseScopeFromName(name string) (string, string) {\n\tprefixes := []struct {\n\t\tprefix string\n\t\tscope  string\n\t}{\n\t\t{\"socket\", \"socket\"},\n\t\t{\"memoryDomain\", \"memoryDomain\"},\n\t\t{\"core\", \"core\"},\n\t\t{\"hwthread\", \"hwthread\"},\n\t\t{\"cpu\", \"hwthread\"},\n\t\t{\"accelerator\", \"accelerator\"},\n\t}\n\n\tfor _, p := range prefixes {\n\t\tif len(name) > len(p.prefix) && name[:len(p.prefix)] == p.prefix {\n\t\t\tid := name[len(p.prefix):]\n\t\t\tif len(id) > 0 && id[0] >= '0' && id[0] <= '9' {\n\t\t\t\treturn p.scope, id\n\t\t\t}\n\t\t}\n\t}\n\n\treturn name, \"\"\n}\n\n// parquetArchiveWriter supports incremental writes to a Parquet file.\n// Each call to WriteHostRows writes one row group (typically one host's data),\n// avoiding accumulation of all rows in memory.\ntype parquetArchiveWriter struct {\n\twriter *pq.GenericWriter[ParquetMetricRow]\n\tbw     *bufio.Writer\n\tf      *os.File\n\tcount  int\n}\n\n// newParquetArchiveWriter creates a streaming Parquet writer with Zstd compression.\nfunc newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error) {\n\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n\t\treturn nil, fmt.Errorf(\"creating archive directory: %w\", err)\n\t}\n\n\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn nil, fmt.Errorf(\"creating parquet file: %w\", err)\n\t}\n\n\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n\n\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n\t\tpq.Compression(&pq.Zstd),\n\t)\n\n\treturn &parquetArchiveWriter{writer: writer, bw: bw, f: f}, nil\n}\n\n// WriteHostRows sorts rows by (metric, timestamp) in-place, writes them,\n// and flushes to create a separate row group.\nfunc (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error {\n\tsort.Slice(rows, func(i, j int) bool {\n\t\tif rows[i].Metric != rows[j].Metric {\n\t\t\treturn rows[i].Metric < rows[j].Metric\n\t\t}\n\t\treturn rows[i].Timestamp < rows[j].Timestamp\n\t})\n\n\tif _, err := w.writer.Write(rows); err != nil {\n\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n\t}\n\n\tif err := w.writer.Flush(); err != nil {\n\t\treturn fmt.Errorf(\"flushing parquet row group: %w\", err)\n\t}\n\n\tw.count += len(rows)\n\treturn nil\n}\n\n// Close finalises the Parquet file (footer, buffered I/O, file handle).\nfunc (w *parquetArchiveWriter) Close() error {\n\tif err := w.writer.Close(); err != nil {\n\t\tw.f.Close()\n\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n\t}\n\n\tif err := w.bw.Flush(); err != nil {\n\t\tw.f.Close()\n\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n\t}\n\n\treturn w.f.Close()\n}\n\n// sortParquetRows sorts rows by (metric, timestamp) in-place.\nfunc sortParquetRows(rows []ParquetMetricRow) {\n\tsort.Slice(rows, func(i, j int) bool {\n\t\tif rows[i].Metric != rows[j].Metric {\n\t\t\treturn rows[i].Metric < rows[j].Metric\n\t\t}\n\t\treturn rows[i].Timestamp < rows[j].Timestamp\n\t})\n}\n\n// loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns\n// a CheckpointFile. Used by the Parquet archiver to read checkpoint data\n// before converting it to Parquet format.\nfunc loadCheckpointFileFromDisk(filename string) (*CheckpointFile, error) {\n\tf, err := os.Open(filename)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer f.Close()\n\n\text := filepath.Ext(filename)\n\tswitch ext {\n\tcase \".json\":\n\t\tcf := &CheckpointFile{}\n\t\tbr := bufio.NewReader(f)\n\t\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"decoding JSON checkpoint %s: %w\", filename, err)\n\t\t}\n\t\treturn cf, nil\n\n\tcase \".bin\":\n\t\tbr := bufio.NewReader(f)\n\t\tvar magic uint32\n\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading magic from %s: %w\", filename, err)\n\t\t}\n\t\tif magic != snapFileMagic {\n\t\t\treturn nil, fmt.Errorf(\"invalid snapshot magic in %s: 0x%08X\", filename, magic)\n\t\t}\n\t\tvar fileFrom, fileTo int64\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading from-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading to-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tcf, err := readBinaryLevel(br)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading binary level from %s: %w\", filename, err)\n\t\t}\n\t\tcf.From = fileFrom\n\t\tcf.To = fileTo\n\t\treturn cf, nil\n\n\tdefault:\n\t\treturn nil, fmt.Errorf(\"unsupported checkpoint extension: %s\", ext)\n\t}\n}\n\n// estimateRowCount estimates the number of Parquet rows a CheckpointFile will produce.\n// Used for pre-allocating the rows slice to avoid repeated append doubling.\nfunc estimateRowCount(cf *CheckpointFile) int {\n\tn := 0\n\tfor _, cm := range cf.Metrics {\n\t\tn += len(cm.Data)\n\t}\n\tfor _, child := range cf.Children {\n\t\tn += estimateRowCount(child)\n\t}\n\treturn n\n}\n\n// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n// converts them to Parquet rows. Returns the rows and filenames that were processed.\nfunc archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n\tentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tfiles, err := findFiles(entries, from, false)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tif len(files) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\t// First pass: load checkpoints and estimate total rows for pre-allocation.\n\ttype loaded struct {\n\t\tcf       *CheckpointFile\n\t\tfilename string\n\t}\n\tvar checkpoints []loaded\n\ttotalEstimate := 0\n\n\tfor _, checkpoint := range files {\n\t\tfilename := filepath.Join(dir, checkpoint)\n\t\tcf, err := loadCheckpointFileFromDisk(filename)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n\t\t\tcontinue\n\t\t}\n\t\ttotalEstimate += estimateRowCount(cf)\n\t\tcheckpoints = append(checkpoints, loaded{cf: cf, filename: checkpoint})\n\t}\n\n\tif len(checkpoints) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\trows := make([]ParquetMetricRow, 0, totalEstimate)\n\tprocessedFiles := make([]string, 0, len(checkpoints))\n\n\tfor _, cp := range checkpoints {\n\t\trows = flattenCheckpointFile(cp.cf, cluster, host, \"node\", \"\", rows)\n\t\tprocessedFiles = append(processedFiles, cp.filename)\n\t}\n\n\treturn rows, processedFiles, nil\n}\n","numLines":284,"startLine":1,"totalLines":284}},"sourceToolAssistantUUID":"7c5c5a50-d691-4409-a21b-afad18cfc15d","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package metricstore\n     7→\n     8→import (\n     9→\t\"bufio\"\n    10→\t\"encoding/binary\"\n    11→\t\"encoding/json\"\n    12→\t\"fmt\"\n    13→\t\"os\"\n    14→\t\"path/filepath\"\n    15→\n    16→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    17→\tpq \"github.com/parquet-go/parquet-go\"\n    18→)\n    19→\n    20→// ParquetMetricRow is the long-format schema for archived metric data.\n    21→// One row per (host, metric, scope, scope_id, timestamp) data point.\n    22→// Sorted by (cluster, hostname, metric, timestamp) for optimal compression.\n    23→type ParquetMetricRow struct {\n    24→\tCluster   string  `parquet:\"cluster\"`\n    25→\tHostname  string  `parquet:\"hostname\"`\n    26→\tMetric    string  `parquet:\"metric\"`\n    27→\tScope     string  `parquet:\"scope\"`\n    28→\tScopeID   string  `parquet:\"scope_id\"`\n    29→\tTimestamp int64   `parquet:\"timestamp\"`\n    30→\tFrequency int64   `parquet:\"frequency\"`\n    31→\tValue     float32 `parquet:\"value\"`\n    32→}\n    33→\n    34→// flattenCheckpointFile recursively converts a CheckpointFile tree into Parquet rows via a channel.\n    35→// The scope path is built from the hierarchy: host level is \"node\", then child names\n    36→// map to scope/scope_id (e.g., \"socket0\" → scope=\"socket\", scope_id=\"0\").\n    37→func flattenCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string, rowChan chan<- *ParquetMetricRow) {\n    38→\tfor metricName, cm := range cf.Metrics {\n    39→\t\tts := cm.Start\n    40→\t\tfor _, v := range cm.Data {\n    41→\t\t\tif !v.IsNaN() {\n    42→\t\t\t\trowChan <- &ParquetMetricRow{\n    43→\t\t\t\t\tCluster:   cluster,\n    44→\t\t\t\t\tHostname:  hostname,\n    45→\t\t\t\t\tMetric:    metricName,\n    46→\t\t\t\t\tScope:     scope,\n    47→\t\t\t\t\tScopeID:   scopeID,\n    48→\t\t\t\t\tTimestamp: ts,\n    49→\t\t\t\t\tFrequency: cm.Frequency,\n    50→\t\t\t\t\tValue:     float32(v),\n    51→\t\t\t\t}\n    52→\t\t\t}\n    53→\t\t\tts += cm.Frequency\n    54→\t\t}\n    55→\t}\n    56→\n    57→\tfor childName, childCf := range cf.Children {\n    58→\t\tchildScope, childScopeID := parseScopeFromName(childName)\n    59→\t\tflattenCheckpointFile(childCf, cluster, hostname, childScope, childScopeID, rowChan)\n    60→\t}\n    61→}\n    62→\n    63→// parseScopeFromName infers scope and scope_id from a child level name.\n    64→// Examples: \"socket0\" → (\"socket\", \"0\"), \"core12\" → (\"core\", \"12\"),\n    65→// \"a0\" (accelerator) → (\"accelerator\", \"0\").\n    66→// If the name doesn't match known patterns, it's used as-is for scope with empty scope_id.\n    67→func parseScopeFromName(name string) (string, string) {\n    68→\tprefixes := []struct {\n    69→\t\tprefix string\n    70→\t\tscope  string\n    71→\t}{\n    72→\t\t{\"socket\", \"socket\"},\n    73→\t\t{\"memoryDomain\", \"memoryDomain\"},\n    74→\t\t{\"core\", \"core\"},\n    75→\t\t{\"hwthread\", \"hwthread\"},\n    76→\t\t{\"cpu\", \"hwthread\"},\n    77→\t\t{\"accelerator\", \"accelerator\"},\n    78→\t}\n    79→\n    80→\tfor _, p := range prefixes {\n    81→\t\tif len(name) > len(p.prefix) && name[:len(p.prefix)] == p.prefix {\n    82→\t\t\tid := name[len(p.prefix):]\n    83→\t\t\tif len(id) > 0 && id[0] >= '0' && id[0] <= '9' {\n    84→\t\t\t\treturn p.scope, id\n    85→\t\t\t}\n    86→\t\t}\n    87→\t}\n    88→\n    89→\treturn name, \"\"\n    90→}\n    91→\n    92→// writeParquetArchiveStream writes rows from a channel to a Parquet file with Zstd compression in batches.\n    93→func writeParquetArchiveStream(filename string, rowChan <-chan *ParquetMetricRow) (int, error) {\n    94→\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n    95→\t\tgo func() {\n    96→\t\t\tfor range rowChan {\n    97→\t\t\t}\n    98→\t\t}()\n    99→\t\treturn 0, fmt.Errorf(\"creating archive directory: %w\", err)\n   100→\t}\n   101→\n   102→\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n   103→\tif err != nil {\n   104→\t\tgo func() {\n   105→\t\t\tfor range rowChan {\n   106→\t\t\t}\n   107→\t\t}()\n   108→\t\treturn 0, fmt.Errorf(\"creating parquet file: %w\", err)\n   109→\t}\n   110→\tdefer f.Close()\n   111→\n   112→\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n   113→\n   114→\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n   115→\t\tpq.Compression(&pq.Zstd),\n   116→\t\tpq.SortingWriterConfig(pq.SortingColumns(\n   117→\t\t\tpq.Ascending(\"cluster\"),\n   118→\t\t\tpq.Ascending(\"hostname\"),\n   119→\t\t\tpq.Ascending(\"metric\"),\n   120→\t\t\tpq.Ascending(\"timestamp\"),\n   121→\t\t)),\n   122→\t)\n   123→\n   124→\tbatchSize := 4096\n   125→\tbatch := make([]ParquetMetricRow, 0, batchSize)\n   126→\trowCount := 0\n   127→\tvar writeErr error\n   128→\n   129→\tfor rowPtr := range rowChan {\n   130→\t\tif writeErr != nil {\n   131→\t\t\tcontinue // Drain the channel to prevent worker deadlock\n   132→\t\t}\n   133→\t\tbatch = append(batch, *rowPtr)\n   134→\t\tif len(batch) >= batchSize {\n   135→\t\t\tif _, err := writer.Write(batch); err != nil {\n   136→\t\t\t\twriteErr = fmt.Errorf(\"writing parquet batch: %w\", err)\n   137→\t\t\t}\n   138→\t\t\trowCount += len(batch)\n   139→\t\t\tbatch = batch[:0]\n   140→\t\t}\n   141→\t}\n   142→\n   143→\tif writeErr != nil {\n   144→\t\treturn rowCount, writeErr\n   145→\t}\n   146→\n   147→\tif len(batch) > 0 {\n   148→\t\tif _, err := writer.Write(batch); err != nil {\n   149→\t\t\treturn rowCount, fmt.Errorf(\"writing remaining parquet batch: %w\", err)\n   150→\t\t}\n   151→\t\trowCount += len(batch)\n   152→\t}\n   153→\n   154→\tif err := writer.Close(); err != nil {\n   155→\t\treturn rowCount, fmt.Errorf(\"closing parquet writer: %w\", err)\n   156→\t}\n   157→\n   158→\tif err := bw.Flush(); err != nil {\n   159→\t\treturn rowCount, fmt.Errorf(\"flushing parquet file: %w\", err)\n   160→\t}\n   161→\n   162→\treturn rowCount, nil\n   163→}\n   164→\n   165→// loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns\n   166→// a CheckpointFile. Used by the Parquet archiver to read checkpoint data\n   167→// before converting it to Parquet format.\n   168→func loadCheckpointFileFromDisk(filename string) (*CheckpointFile, error) {\n   169→\tf, err := os.Open(filename)\n   170→\tif err != nil {\n   171→\t\treturn nil, err\n   172→\t}\n   173→\tdefer f.Close()\n   174→\n   175→\text := filepath.Ext(filename)\n   176→\tswitch ext {\n   177→\tcase \".json\":\n   178→\t\tcf := &CheckpointFile{}\n   179→\t\tbr := bufio.NewReader(f)\n   180→\t\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n   181→\t\t\treturn nil, fmt.Errorf(\"decoding JSON checkpoint %s: %w\", filename, err)\n   182→\t\t}\n   183→\t\treturn cf, nil\n   184→\n   185→\tcase \".bin\":\n   186→\t\tbr := bufio.NewReader(f)\n   187→\t\tvar magic uint32\n   188→\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n   189→\t\t\treturn nil, fmt.Errorf(\"reading magic from %s: %w\", filename, err)\n   190→\t\t}\n   191→\t\tif magic != snapFileMagic {\n   192→\t\t\treturn nil, fmt.Errorf(\"invalid snapshot magic in %s: 0x%08X\", filename, magic)\n   193→\t\t}\n   194→\t\tvar fileFrom, fileTo int64\n   195→\t\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n   196→\t\t\treturn nil, fmt.Errorf(\"reading from-timestamp from %s: %w\", filename, err)\n   197→\t\t}\n   198→\t\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n   199→\t\t\treturn nil, fmt.Errorf(\"reading to-timestamp from %s: %w\", filename, err)\n   200→\t\t}\n   201→\t\tcf, err := readBinaryLevel(br)\n   202→\t\tif err != nil {\n   203→\t\t\treturn nil, fmt.Errorf(\"reading binary level from %s: %w\", filename, err)\n   204→\t\t}\n   205→\t\tcf.From = fileFrom\n   206→\t\tcf.To = fileTo\n   207→\t\treturn cf, nil\n   208→\n   209→\tdefault:\n   210→\t\treturn nil, fmt.Errorf(\"unsupported checkpoint extension: %s\", ext)\n   211→\t}\n   212→}\n   213→\n   214→// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n   215→// converts them to Parquet rows. Returns the filenames that were processed.\n   216→func archiveCheckpointsToParquet(dir, cluster, host string, from int64, rowChan chan<- *ParquetMetricRow) ([]string, error) {\n   217→\tentries, err := os.ReadDir(dir)\n   218→\tif err != nil {\n   219→\t\treturn nil, err\n   220→\t}\n   221→\n   222→\tfiles, err := findFiles(entries, from, false)\n   223→\tif err != nil {\n   224→\t\treturn nil, err\n   225→\t}\n   226→\n   227→\tif len(files) == 0 {\n   228→\t\treturn nil, nil\n   229→\t}\n   230→\n   231→\tfor _, checkpoint := range files {\n   232→\t\tfilename := filepath.Join(dir, checkpoint)\n   233→\t\tcf, err := loadCheckpointFileFromDisk(filename)\n   234→\t\tif err != nil {\n   235→\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n   236→\t\t\tcontinue\n   237→\t\t}\n   238→\n   239→\t\tflattenCheckpointFile(cf, cluster, host, \"node\", \"\", rowChan)\n   240→\t}\n   241→\n   242→\treturn files, nil\n   243→}\n   244→"}]},"uuid":"70268700-0562-475c-9bb1-8ac1d78195a4","timestamp":"2026-03-18T04:15:47.811Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/pkg/metricstore/parquetArchive.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"encoding/binary\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\n// ParquetMetricRow is the long-format schema for archived metric data.\n// One row per (host, metric, scope, scope_id, timestamp) data point.\n// Sorted by (cluster, hostname, metric, timestamp) for optimal compression.\ntype ParquetMetricRow struct {\n\tCluster   string  `parquet:\"cluster\"`\n\tHostname  string  `parquet:\"hostname\"`\n\tMetric    string  `parquet:\"metric\"`\n\tScope     string  `parquet:\"scope\"`\n\tScopeID   string  `parquet:\"scope_id\"`\n\tTimestamp int64   `parquet:\"timestamp\"`\n\tFrequency int64   `parquet:\"frequency\"`\n\tValue     float32 `parquet:\"value\"`\n}\n\n// flattenCheckpointFile recursively converts a CheckpointFile tree into Parquet rows via a channel.\n// The scope path is built from the hierarchy: host level is \"node\", then child names\n// map to scope/scope_id (e.g., \"socket0\" → scope=\"socket\", scope_id=\"0\").\nfunc flattenCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string, rowChan chan<- *ParquetMetricRow) {\n\tfor metricName, cm := range cf.Metrics {\n\t\tts := cm.Start\n\t\tfor _, v := range cm.Data {\n\t\t\tif !v.IsNaN() {\n\t\t\t\trowChan <- &ParquetMetricRow{\n\t\t\t\t\tCluster:   cluster,\n\t\t\t\t\tHostname:  hostname,\n\t\t\t\t\tMetric:    metricName,\n\t\t\t\t\tScope:     scope,\n\t\t\t\t\tScopeID:   scopeID,\n\t\t\t\t\tTimestamp: ts,\n\t\t\t\t\tFrequency: cm.Frequency,\n\t\t\t\t\tValue:     float32(v),\n\t\t\t\t}\n\t\t\t}\n\t\t\tts += cm.Frequency\n\t\t}\n\t}\n\n\tfor childName, childCf := range cf.Children {\n\t\tchildScope, childScopeID := parseScopeFromName(childName)\n\t\tflattenCheckpointFile(childCf, cluster, hostname, childScope, childScopeID, rowChan)\n\t}\n}\n\n// parseScopeFromName infers scope and scope_id from a child level name.\n// Examples: \"socket0\" → (\"socket\", \"0\"), \"core12\" → (\"core\", \"12\"),\n// \"a0\" (accelerator) → (\"accelerator\", \"0\").\n// If the name doesn't match known patterns, it's used as-is for scope with empty scope_id.\nfunc parseScopeFromName(name string) (string, string) {\n\tprefixes := []struct {\n\t\tprefix string\n\t\tscope  string\n\t}{\n\t\t{\"socket\", \"socket\"},\n\t\t{\"memoryDomain\", \"memoryDomain\"},\n\t\t{\"core\", \"core\"},\n\t\t{\"hwthread\", \"hwthread\"},\n\t\t{\"cpu\", \"hwthread\"},\n\t\t{\"accelerator\", \"accelerator\"},\n\t}\n\n\tfor _, p := range prefixes {\n\t\tif len(name) > len(p.prefix) && name[:len(p.prefix)] == p.prefix {\n\t\t\tid := name[len(p.prefix):]\n\t\t\tif len(id) > 0 && id[0] >= '0' && id[0] <= '9' {\n\t\t\t\treturn p.scope, id\n\t\t\t}\n\t\t}\n\t}\n\n\treturn name, \"\"\n}\n\n// writeParquetArchiveStream writes rows from a channel to a Parquet file with Zstd compression in batches.\nfunc writeParquetArchiveStream(filename string, rowChan <-chan *ParquetMetricRow) (int, error) {\n\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n\t\tgo func() {\n\t\t\tfor range rowChan {\n\t\t\t}\n\t\t}()\n\t\treturn 0, fmt.Errorf(\"creating archive directory: %w\", err)\n\t}\n\n\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\tgo func() {\n\t\t\tfor range rowChan {\n\t\t\t}\n\t\t}()\n\t\treturn 0, fmt.Errorf(\"creating parquet file: %w\", err)\n\t}\n\tdefer f.Close()\n\n\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n\n\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n\t\tpq.Compression(&pq.Zstd),\n\t\tpq.SortingWriterConfig(pq.SortingColumns(\n\t\t\tpq.Ascending(\"cluster\"),\n\t\t\tpq.Ascending(\"hostname\"),\n\t\t\tpq.Ascending(\"metric\"),\n\t\t\tpq.Ascending(\"timestamp\"),\n\t\t)),\n\t)\n\n\tbatchSize := 4096\n\tbatch := make([]ParquetMetricRow, 0, batchSize)\n\trowCount := 0\n\tvar writeErr error\n\n\tfor rowPtr := range rowChan {\n\t\tif writeErr != nil {\n\t\t\tcontinue // Drain the channel to prevent worker deadlock\n\t\t}\n\t\tbatch = append(batch, *rowPtr)\n\t\tif len(batch) >= batchSize {\n\t\t\tif _, err := writer.Write(batch); err != nil {\n\t\t\t\twriteErr = fmt.Errorf(\"writing parquet batch: %w\", err)\n\t\t\t}\n\t\t\trowCount += len(batch)\n\t\t\tbatch = batch[:0]\n\t\t}\n\t}\n\n\tif writeErr != nil {\n\t\treturn rowCount, writeErr\n\t}\n\n\tif len(batch) > 0 {\n\t\tif _, err := writer.Write(batch); err != nil {\n\t\t\treturn rowCount, fmt.Errorf(\"writing remaining parquet batch: %w\", err)\n\t\t}\n\t\trowCount += len(batch)\n\t}\n\n\tif err := writer.Close(); err != nil {\n\t\treturn rowCount, fmt.Errorf(\"closing parquet writer: %w\", err)\n\t}\n\n\tif err := bw.Flush(); err != nil {\n\t\treturn rowCount, fmt.Errorf(\"flushing parquet file: %w\", err)\n\t}\n\n\treturn rowCount, nil\n}\n\n// loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns\n// a CheckpointFile. Used by the Parquet archiver to read checkpoint data\n// before converting it to Parquet format.\nfunc loadCheckpointFileFromDisk(filename string) (*CheckpointFile, error) {\n\tf, err := os.Open(filename)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer f.Close()\n\n\text := filepath.Ext(filename)\n\tswitch ext {\n\tcase \".json\":\n\t\tcf := &CheckpointFile{}\n\t\tbr := bufio.NewReader(f)\n\t\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"decoding JSON checkpoint %s: %w\", filename, err)\n\t\t}\n\t\treturn cf, nil\n\n\tcase \".bin\":\n\t\tbr := bufio.NewReader(f)\n\t\tvar magic uint32\n\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading magic from %s: %w\", filename, err)\n\t\t}\n\t\tif magic != snapFileMagic {\n\t\t\treturn nil, fmt.Errorf(\"invalid snapshot magic in %s: 0x%08X\", filename, magic)\n\t\t}\n\t\tvar fileFrom, fileTo int64\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading from-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading to-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tcf, err := readBinaryLevel(br)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading binary level from %s: %w\", filename, err)\n\t\t}\n\t\tcf.From = fileFrom\n\t\tcf.To = fileTo\n\t\treturn cf, nil\n\n\tdefault:\n\t\treturn nil, fmt.Errorf(\"unsupported checkpoint extension: %s\", ext)\n\t}\n}\n\n// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n// converts them to Parquet rows. Returns the filenames that were processed.\nfunc archiveCheckpointsToParquet(dir, cluster, host string, from int64, rowChan chan<- *ParquetMetricRow) ([]string, error) {\n\tentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tfiles, err := findFiles(entries, from, false)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif len(files) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tfor _, checkpoint := range files {\n\t\tfilename := filepath.Join(dir, checkpoint)\n\t\tcf, err := loadCheckpointFileFromDisk(filename)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n\t\t\tcontinue\n\t\t}\n\n\t\tflattenCheckpointFile(cf, cluster, host, \"node\", \"\", rowChan)\n\t}\n\n\treturn files, nil\n}\n","numLines":244,"startLine":1,"totalLines":244}},"sourceToolAssistantUUID":"98c39255-0c74-4b80-bb95-b89ce1fcdb14","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
+{"parentUuid":"70268700-0562-475c-9bb1-8ac1d78195a4","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01XwUMDjqMRQDnzKopuDkkZb","type":"message","role":"assistant","content":[{"type":"text","text":"Two different approaches to the same problem. Here's how they compare:\n\n## Architecture: Batch-per-host (ours) vs Channel-streaming (tmp)\n\n### `flattenCheckpointFile`\n\n| | Ours (hotfix) | tmp |\n|---|---|---|\n| **Signature** | `(..., rows []ParquetMetricRow) []ParquetMetricRow` | `(..., rowChan chan<- *ParquetMetricRow)` |\n| **Mechanism** | Appends to a slice, returns it | Sends `*ParquetMetricRow` pointers to a channel |\n| **Allocation** | Struct values in a contiguous slice | One heap-allocated pointer per row |\n\n### Writer\n\n| | Ours (`parquetArchiveWriter`) | tmp (`writeParquetArchiveStream`) |\n|---|---|---|\n| **API** | Struct with `WriteHostRows()` + `Close()` | Single function consuming `<-chan *ParquetMetricRow` |\n| **SortingWriterConfig** | Removed | **Still present** (lines 116-121) |\n| **Row groups** | One per host (explicit `Flush()`) | One big row group (only `Close()` at end) |\n| **Sorting** | Pre-sorted in-place per host via `sort.Slice` | Delegated to `SortingWriterConfig` internally |\n| **Batching** | Entire host's rows at once | Fixed 4096-row batches from channel |\n\n### `archiveCheckpointsToParquet`\n\n| | Ours | tmp |\n|---|---|---|\n| **Returns** | `([]ParquetMetricRow, []string, error)` — rows + files | `([]string, error)` — files only |\n| **Pre-allocation** | `estimateRowCount()` → `make([]ParquetMetricRow, 0, n)` | No pre-allocation (rows go through channel) |\n| **Two-pass loading** | Yes: load all checkpoints, estimate, then flatten | No: single pass, streams directly to channel |\n\n## Key Differences\n\n**1. The tmp version still has the `SortingWriterConfig` problem.** It batches 4096 rows at a time into `writer.Write()`, but `SortingWriterConfig` buffers ALL written rows internally until `writer.Close()`. So despite the channel streaming, the sorting writer still accumulates every row in memory — the memory fix is incomplete.\n\n**2. Per-row heap allocation in tmp.** Each row is `&ParquetMetricRow{...}` sent as a pointer through the channel. For millions of rows this creates significant GC pressure vs our approach of contiguous slice values.\n\n**3. Our version creates proper row groups.** Each `WriteHostRows()` + `Flush()` creates a separate Parquet row group per host, enabling row-group skipping on read. The tmp version produces one monolithic row group.\n\n**4. Error handling on early failure.** The tmp version spawns goroutines to drain the channel if `MkdirAll` or `OpenFile` fails (lines 95-98, 104-107). Our version avoids this by opening the writer before starting workers (in `archive.go`).\n\n**5. Our version has `estimateRowCount` + pre-allocation** to avoid append doubling. The tmp version doesn't need this (no slice accumulation) but trades it for per-row channel send overhead.\n\n## Bottom line\n\nThe tmp version streams row-by-row through a channel (good for decoupling producer/consumer) but **defeats its own purpose** by keeping `SortingWriterConfig`, which buffers everything internally anyway. Our version removes `SortingWriterConfig`, pre-sorts per host, and writes proper row groups — actually solving the memory problem."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":7494,"cache_read_input_tokens":62663,"output_tokens":902,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":7494,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ9u36c2znfXfmD5yRam8","type":"assistant","uuid":"d8ffe716-42f7-4544-a617-bf35bbbd6a16","timestamp":"2026-03-18T04:16:14.406Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"sync\"\n\t\"sync/atomic\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n)\n\n// Worker for either Archiving or Deleting files\n\nfunc CleanUp(wg *sync.WaitGroup, ctx context.Context) {\n\tif Keys.Cleanup.Mode == \"archive\" {\n\t\t// Run as Archiver\n\t\tcleanUpWorker(wg, ctx,\n\t\t\tKeys.RetentionInMemory,\n\t\t\t\"archiving\",\n\t\t\tKeys.Cleanup.RootDir,\n\t\t\tfalse,\n\t\t)\n\t} else {\n\t\t// Run as Deleter\n\t\tcleanUpWorker(wg, ctx,\n\t\t\tKeys.RetentionInMemory,\n\t\t\t\"deleting\",\n\t\t\t\"\",\n\t\t\ttrue,\n\t\t)\n\t}\n}\n\n// cleanUpWorker takes simple values to configure what it does\nfunc cleanUpWorker(wg *sync.WaitGroup, ctx context.Context, interval string, mode string, cleanupDir string, delete bool) {\n\twg.Go(func() {\n\n\t\td, err := time.ParseDuration(interval)\n\t\tif err != nil {\n\t\t\tcclog.Fatalf(\"[METRICSTORE]> error parsing %s interval duration: %v\\n\", mode, err)\n\t\t}\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(d)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tt := time.Now().Add(-d)\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start %s checkpoints (older than %s)...\", mode, t.Format(time.RFC3339))\n\n\t\t\t\tn, err := CleanupCheckpoints(Keys.Checkpoints.RootDir, cleanupDir, t.Unix(), delete)\n\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> %s failed: %s\", mode, err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tif delete {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoints deleted\", n)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files archived to parquet\", n)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\nvar ErrNoNewArchiveData error = errors.New(\"all data already archived\")\n\n// CleanupCheckpoints deletes or archives all checkpoint files older than `from`.\n// When archiving, consolidates all hosts per cluster into a single Parquet file.\nfunc CleanupCheckpoints(checkpointsDir, cleanupDir string, from int64, deleteInstead bool) (int, error) {\n\tif deleteInstead {\n\t\treturn deleteCheckpoints(checkpointsDir, from)\n\t}\n\n\treturn archiveCheckpoints(checkpointsDir, cleanupDir, from)\n}\n\n// deleteCheckpoints removes checkpoint files older than `from` across all clusters/hosts.\nfunc deleteCheckpoints(checkpointsDir string, from int64) (int, error) {\n\tentries1, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttype workItem struct {\n\t\tdir            string\n\t\tcluster, host  string\n\t}\n\n\tvar wg sync.WaitGroup\n\tn, errs := int32(0), int32(0)\n\twork := make(chan workItem, Keys.NumWorkers)\n\n\twg.Add(Keys.NumWorkers)\n\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor item := range work {\n\t\t\t\tentries, err := os.ReadDir(item.dir)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"error reading %s/%s: %s\", item.cluster, item.host, err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tfiles, err := findFiles(entries, from, false)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"error finding files in %s/%s: %s\", item.cluster, item.host, err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tfor _, checkpoint := range files {\n\t\t\t\t\tif err := os.Remove(filepath.Join(item.dir, checkpoint)); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"error deleting %s/%s/%s: %s\", item.cluster, item.host, checkpoint, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor _, de1 := range entries1 {\n\t\tentries2, e := os.ReadDir(filepath.Join(checkpointsDir, de1.Name()))\n\t\tif e != nil {\n\t\t\terr = e\n\t\t\tcontinue\n\t\t}\n\n\t\tfor _, de2 := range entries2 {\n\t\t\twork <- workItem{\n\t\t\t\tdir:     filepath.Join(checkpointsDir, de1.Name(), de2.Name()),\n\t\t\t\tcluster: de1.Name(),\n\t\t\t\thost:    de2.Name(),\n\t\t\t}\n\t\t}\n\t}\n\n\tclose(work)\n\twg.Wait()\n\n\tif err != nil {\n\t\treturn int(n), err\n\t}\n\tif errs > 0 {\n\t\treturn int(n), fmt.Errorf(\"%d errors happened while deleting (%d successes)\", errs, n)\n\t}\n\treturn int(n), nil\n}\n\n// archiveCheckpoints archives checkpoint files to Parquet format.\n// Produces one Parquet file per cluster: <cleanupDir>/<cluster>/<timestamp>.parquet\n// Each host's rows are written as a separate row group to avoid accumulating\n// all data in memory at once.\nfunc archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n\tclusterEntries, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttotalFiles := 0\n\n\tfor _, clusterEntry := range clusterEntries {\n\t\tif !clusterEntry.IsDir() {\n\t\t\tcontinue\n\t\t}\n\n\t\tcluster := clusterEntry.Name()\n\t\thostEntries, err := os.ReadDir(filepath.Join(checkpointsDir, cluster))\n\t\tif err != nil {\n\t\t\treturn totalFiles, err\n\t\t}\n\n\t\t// Stream per-host rows to parquet writer via worker pool\n\t\ttype hostResult struct {\n\t\t\trows  []ParquetMetricRow\n\t\t\tfiles []string // checkpoint filenames to delete after successful write\n\t\t\tdir   string   // checkpoint directory for this host\n\t\t}\n\n\t\tresults := make(chan hostResult, len(hostEntries))\n\t\twork := make(chan struct {\n\t\t\tdir, host string\n\t\t}, Keys.NumWorkers)\n\n\t\tvar wg sync.WaitGroup\n\t\terrs := int32(0)\n\n\t\twg.Add(Keys.NumWorkers)\n\t\tfor w := 0; w < Keys.NumWorkers; w++ {\n\t\t\tgo func() {\n\t\t\t\tdefer wg.Done()\n\t\t\t\tfor item := range work {\n\t\t\t\t\trows, files, err := archiveCheckpointsToParquet(item.dir, cluster, item.host, from)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tif len(rows) > 0 {\n\t\t\t\t\t\tresults <- hostResult{rows: rows, files: files, dir: item.dir}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\t\t}\n\n\t\tgo func() {\n\t\t\tfor _, hostEntry := range hostEntries {\n\t\t\t\tif !hostEntry.IsDir() {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tdir := filepath.Join(checkpointsDir, cluster, hostEntry.Name())\n\t\t\t\twork <- struct {\n\t\t\t\t\tdir, host string\n\t\t\t\t}{dir: dir, host: hostEntry.Name()}\n\t\t\t}\n\t\t\tclose(work)\n\t\t\twg.Wait()\n\t\t\tclose(results)\n\t\t}()\n\n\t\t// Open streaming writer and write each host's rows as a row group\n\t\tparquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))\n\t\twriter, err := newParquetArchiveWriter(parquetFile)\n\t\tif err != nil {\n\t\t\t// Drain results channel to unblock workers\n\t\t\tfor range results {\n\t\t\t}\n\t\t\treturn totalFiles, fmt.Errorf(\"creating parquet writer for cluster %s: %w\", cluster, err)\n\t\t}\n\n\t\ttype deleteItem struct {\n\t\t\tdir   string\n\t\t\tfiles []string\n\t\t}\n\t\tvar toDelete []deleteItem\n\t\twriteErr := error(nil)\n\n\t\tfor r := range results {\n\t\t\tif writeErr == nil {\n\t\t\t\tsortParquetRows(r.rows)\n\t\t\t\tif err := writer.WriteHostRows(r.rows); err != nil {\n\t\t\t\t\twriteErr = err\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Always track files for deletion (even if write failed, we still drain)\n\t\t\ttoDelete = append(toDelete, deleteItem{dir: r.dir, files: r.files})\n\t\t}\n\n\t\tif err := writer.Close(); err != nil && writeErr == nil {\n\t\t\twriteErr = err\n\t\t}\n\n\t\tif errs > 0 {\n\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n\t\t}\n\n\t\tif writer.count == 0 {\n\t\t\t// No data written — remove empty file\n\t\t\tos.Remove(parquetFile)\n\t\t\tcontinue\n\t\t}\n\n\t\tif writeErr != nil {\n\t\t\tos.Remove(parquetFile)\n\t\t\treturn totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, writeErr)\n\t\t}\n\n\t\t// Delete archived checkpoint files\n\t\tfor _, item := range toDelete {\n\t\t\tfor _, file := range item.files {\n\t\t\t\tfilename := filepath.Join(item.dir, file)\n\t\t\t\tif err := os.Remove(filename); err != nil {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n\t\t\t\t} else {\n\t\t\t\t\ttotalFiles++\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n\t\t\twriter.count, totalFiles, cluster, parquetFile)\n\t}\n\n\treturn totalFiles, nil\n}\n","structuredPatch":[{"oldStart":171,"oldLines":6,"newStart":171,"newLines":9,"lines":[" // Each host's rows are written as a separate row group to avoid accumulating"," // all data in memory at once."," func archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {","+  cclog.Info(\"[METRICSTORE]> start archiving checkpoints to parquet\")","+  startTime := time.Now()","+","   clusterEntries, err := os.ReadDir(checkpointsDir)","   if err != nil {","     return 0, err"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"732b7b7e-93bb-4c15-821c-6f3e1731e33a","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"sync\"\n\t\"sync/atomic\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n)\n\n// Worker for either Archiving or Deleting files\n\nfunc CleanUp(wg *sync.WaitGroup, ctx context.Context) {\n\tif Keys.Cleanup.Mode == \"archive\" {\n\t\t// Run as Archiver\n\t\tcleanUpWorker(wg, ctx,\n\t\t\tKeys.RetentionInMemory,\n\t\t\t\"archiving\",\n\t\t\tKeys.Cleanup.RootDir,\n\t\t\tfalse,\n\t\t)\n\t} else {\n\t\t// Run as Deleter\n\t\tcleanUpWorker(wg, ctx,\n\t\t\tKeys.RetentionInMemory,\n\t\t\t\"deleting\",\n\t\t\t\"\",\n\t\t\ttrue,\n\t\t)\n\t}\n}\n\n// cleanUpWorker takes simple values to configure what it does\nfunc cleanUpWorker(wg *sync.WaitGroup, ctx context.Context, interval string, mode string, cleanupDir string, delete bool) {\n\twg.Go(func() {\n\n\t\td, err := time.ParseDuration(interval)\n\t\tif err != nil {\n\t\t\tcclog.Fatalf(\"[METRICSTORE]> error parsing %s interval duration: %v\\n\", mode, err)\n\t\t}\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(d)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tt := time.Now().Add(-d)\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start %s checkpoints (older than %s)...\", mode, t.Format(time.RFC3339))\n\n\t\t\t\tn, err := CleanupCheckpoints(Keys.Checkpoints.RootDir, cleanupDir, t.Unix(), delete)\n\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> %s failed: %s\", mode, err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tif delete {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoints deleted\", n)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files archived to parquet\", n)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\nvar ErrNoNewArchiveData error = errors.New(\"all data already archived\")\n\n// CleanupCheckpoints deletes or archives all checkpoint files older than `from`.\n// When archiving, consolidates all hosts per cluster into a single Parquet file.\nfunc CleanupCheckpoints(checkpointsDir, cleanupDir string, from int64, deleteInstead bool) (int, error) {\n\tif deleteInstead {\n\t\treturn deleteCheckpoints(checkpointsDir, from)\n\t}\n\n\treturn archiveCheckpoints(checkpointsDir, cleanupDir, from)\n}\n\n// deleteCheckpoints removes checkpoint files older than `from` across all clusters/hosts.\nfunc deleteCheckpoints(checkpointsDir string, from int64) (int, error) {\n\tentries1, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttype workItem struct {\n\t\tdir            string\n\t\tcluster, host  string\n\t}\n\n\tvar wg sync.WaitGroup\n\tn, errs := int32(0), int32(0)\n\twork := make(chan workItem, Keys.NumWorkers)\n\n\twg.Add(Keys.NumWorkers)\n\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor item := range work {\n\t\t\t\tentries, err := os.ReadDir(item.dir)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"error reading %s/%s: %s\", item.cluster, item.host, err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tfiles, err := findFiles(entries, from, false)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"error finding files in %s/%s: %s\", item.cluster, item.host, err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tfor _, checkpoint := range files {\n\t\t\t\t\tif err := os.Remove(filepath.Join(item.dir, checkpoint)); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"error deleting %s/%s/%s: %s\", item.cluster, item.host, checkpoint, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor _, de1 := range entries1 {\n\t\tentries2, e := os.ReadDir(filepath.Join(checkpointsDir, de1.Name()))\n\t\tif e != nil {\n\t\t\terr = e\n\t\t\tcontinue\n\t\t}\n\n\t\tfor _, de2 := range entries2 {\n\t\t\twork <- workItem{\n\t\t\t\tdir:     filepath.Join(checkpointsDir, de1.Name(), de2.Name()),\n\t\t\t\tcluster: de1.Name(),\n\t\t\t\thost:    de2.Name(),\n\t\t\t}\n\t\t}\n\t}\n\n\tclose(work)\n\twg.Wait()\n\n\tif err != nil {\n\t\treturn int(n), err\n\t}\n\tif errs > 0 {\n\t\treturn int(n), fmt.Errorf(\"%d errors happened while deleting (%d successes)\", errs, n)\n\t}\n\treturn int(n), nil\n}\n\n// archiveCheckpoints archives checkpoint files to Parquet format.\n// Produces one Parquet file per cluster: <cleanupDir>/<cluster>/<timestamp>.parquet\n// Each host's rows are written as a separate row group to avoid accumulating\n// all data in memory at once.\nfunc archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n\tcclog.Info(\"[METRICSTORE]> start archiving checkpoints to parquet\")\n\tstartTime := time.Now()\n\n\tclusterEntries, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttotalFiles := 0\n\n\tfor _, clusterEntry := range clusterEntries {\n\t\tif !clusterEntry.IsDir() {\n\t\t\tcontinue\n\t\t}\n\n\t\tcluster := clusterEntry.Name()\n\t\thostEntries, err := os.ReadDir(filepath.Join(checkpointsDir, cluster))\n\t\tif err != nil {\n\t\t\treturn totalFiles, err\n\t\t}\n\n\t\t// Stream per-host rows to parquet writer via worker pool\n\t\ttype hostResult struct {\n\t\t\trows  []ParquetMetricRow\n\t\t\tfiles []string // checkpoint filenames to delete after successful write\n\t\t\tdir   string   // checkpoint directory for this host\n\t\t}\n\n\t\tresults := make(chan hostResult, len(hostEntries))\n\t\twork := make(chan struct {\n\t\t\tdir, host string\n\t\t}, Keys.NumWorkers)\n\n\t\tvar wg sync.WaitGroup\n\t\terrs := int32(0)\n\n\t\twg.Add(Keys.NumWorkers)\n\t\tfor w := 0; w < Keys.NumWorkers; w++ {\n\t\t\tgo func() {\n\t\t\t\tdefer wg.Done()\n\t\t\t\tfor item := range work {\n\t\t\t\t\trows, files, err := archiveCheckpointsToParquet(item.dir, cluster, item.host, from)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tif len(rows) > 0 {\n\t\t\t\t\t\tresults <- hostResult{rows: rows, files: files, dir: item.dir}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\t\t}\n\n\t\tgo func() {\n\t\t\tfor _, hostEntry := range hostEntries {\n\t\t\t\tif !hostEntry.IsDir() {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tdir := filepath.Join(checkpointsDir, cluster, hostEntry.Name())\n\t\t\t\twork <- struct {\n\t\t\t\t\tdir, host string\n\t\t\t\t}{dir: dir, host: hostEntry.Name()}\n\t\t\t}\n\t\t\tclose(work)\n\t\t\twg.Wait()\n\t\t\tclose(results)\n\t\t}()\n\n\t\t// Open streaming writer and write each host's rows as a row group\n\t\tparquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))\n\t\twriter, err := newParquetArchiveWriter(parquetFile)\n\t\tif err != nil {\n\t\t\t// Drain results channel to unblock workers\n\t\t\tfor range results {\n\t\t\t}\n\t\t\treturn totalFiles, fmt.Errorf(\"creating parquet writer for cluster %s: %w\", cluster, err)\n\t\t}\n\n\t\ttype deleteItem struct {\n\t\t\tdir   string\n\t\t\tfiles []string\n\t\t}\n\t\tvar toDelete []deleteItem\n\t\twriteErr := error(nil)\n\n\t\tfor r := range results {\n\t\t\tif writeErr == nil {\n\t\t\t\tsortParquetRows(r.rows)\n\t\t\t\tif err := writer.WriteHostRows(r.rows); err != nil {\n\t\t\t\t\twriteErr = err\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Always track files for deletion (even if write failed, we still drain)\n\t\t\ttoDelete = append(toDelete, deleteItem{dir: r.dir, files: r.files})\n\t\t}\n\n\t\tif err := writer.Close(); err != nil && writeErr == nil {\n\t\t\twriteErr = err\n\t\t}\n\n\t\tif errs > 0 {\n\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n\t\t}\n\n\t\tif writer.count == 0 {\n\t\t\t// No data written — remove empty file\n\t\t\tos.Remove(parquetFile)\n\t\t\tcontinue\n\t\t}\n\n\t\tif writeErr != nil {\n\t\t\tos.Remove(parquetFile)\n\t\t\treturn totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, writeErr)\n\t\t}\n\n\t\t// Delete archived checkpoint files\n\t\tfor _, item := range toDelete {\n\t\t\tfor _, file := range item.files {\n\t\t\t\tfilename := filepath.Join(item.dir, file)\n\t\t\t\tif err := os.Remove(filename); err != nil {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n\t\t\t\t} else {\n\t\t\t\t\ttotalFiles++\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n\t\t\twriter.count, totalFiles, cluster, parquetFile)\n\t}\n\n\treturn totalFiles, nil\n}\n","structuredPatch":[{"oldStart":303,"oldLines":5,"newStart":303,"newLines":6,"lines":["       writer.count, totalFiles, cluster, parquetFile)","   }"," ","+  cclog.Infof(\"[METRICSTORE]> archiving checkpoints completed in %s (%d files)\", time.Since(startTime).Round(time.Millisecond), totalFiles)","   return totalFiles, nil"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"34c20240-d48b-430e-946a-88831b45c4f0","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"}
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diff --git a/bf/29af79b268/0/metadata.json b/bf/29af79b268/0/metadata.json
new file mode 100644
index 00000000..f99016d3
--- /dev/null
+++ b/bf/29af79b268/0/metadata.json
@@ -0,0 +1,30 @@
+{
+  "cli_version": "0.4.8",
+  "checkpoint_id": "bf29af79b268",
+  "session_id": "0943a044-b17e-4215-8591-c1a0c816ddf0",
+  "strategy": "manual-commit",
+  "created_at": "2026-03-18T04:22:41.042241Z",
+  "branch": "hotfix",
+  "checkpoints_count": 2,
+  "files_touched": [
+    "pkg/metricstore/archive.go"
+  ],
+  "agent": "Claude Code",
+  "turn_id": "4178691e07bd",
+  "token_usage": {
+    "input_tokens": 38,
+    "cache_creation_tokens": 101668,
+    "cache_read_tokens": 1392819,
+    "output_tokens": 11761,
+    "api_call_count": 28
+  },
+  "initial_attribution": {
+    "calculated_at": "2026-03-18T04:22:40.9438Z",
+    "agent_lines": 4,
+    "human_added": 0,
+    "human_modified": 0,
+    "human_removed": 0,
+    "total_committed": 4,
+    "agent_percentage": 100
+  }
+}
diff --git a/bf/29af79b268/0/prompt.txt b/bf/29af79b268/0/prompt.txt
new file mode 100644
index 00000000..b0970f13
--- /dev/null
+++ b/bf/29af79b268/0/prompt.txt
@@ -0,0 +1,113 @@
+Implement the following plan:
+
+# Fix: Memory Escalation in flattenCheckpointFile (68GB+)
+
+## Context
+
+Production gops shows `flattenCheckpointFile` allocating 68GB+ (74.89% of memory). The archiving pipeline accumulates ALL metric data from ALL hosts into a single `[]ParquetMetricRow` slice before writing to Parquet. For large HPC clusters this is catastrophic. Additionally, the `SortingWriterConfig` in the parquet writer buffers everything again internally.
+
+## Root Cause
+
+Two-layer unbounded accumulation:
+
+1. **`archive.go:239-242`**: `allRows = append(allRows, r.rows...)` merges every host's rows into one giant slice
+2. **`parquetArchive.go:108-116`**: `SortingWriterConfig` creates a sorting writer that buffers ALL rows until `Close()`
+3. **`parquetArchive.go:199`**: `var rows []ParquetMetricRow` starts at zero capacity, grows via append doubling
+
+Peak memory = (all hosts' rows) + (sorting writer copy) + (append overhead) = ~3x raw data size.
+
+## Fix: Stream per-host to parquet writer
+
+Instead of accumulating all rows, write each host's data as a separate row group.
+
+### Step 1: Add streaming parquet writer (`parquetArchive.go`)
+
+Replace `writeParquetArchive(filename, rows)` with a struct that supports incremental writes:
+
+```go
+type parquetArchiveWriter struct {
+    writer *pq.GenericWriter[ParquetMetricRow]
+    bw     *bufio.Writer
+    f      *os.File
+    count  int
+}
+
+func newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error)
+func (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error  // Write + Flush (creates row group)
+func (w *parquetArchiveWriter) Close() error
+```
+
+- **Remove `SortingWriterConfig`** - no global sort buffer
+- Sort each host's rows in-place with `sort.Slice` before writing (cheap: single host data)
+- Each `Flush()` creates a separate row group per host
+
+### Step 2: Add row count estimation (`parquetArchive.go`)
+
+```go
+func estimateRowCount(cf *CheckpointFile) int
+```
+
+Pre-allocate `rows` slice in `archiveCheckpointsToParquet` to avoid append doubling per host.
+
+### Step 3: Restructure `archiveCheckpoints` (`archive.go`)
+
+Change from:
+```
+workers → channel → accumulate allRows → writeParquetArchive(allRows)
+```
+
+To:
+```
+open writer → workers → channel → for each host: sort rows, writer.WriteHostRows(rows) → close writer
+```
+
+- Only one host's rows in memory at a time
+- Track `files`/`dir` for deletion separately (don't retain rows)
+- Check `writer.count > 0` instead of `len(allRows) == 0`
+
+### Step 4: Update test (`parquetArchive_test.go`)
+
+- `TestParquetArchiveRoundtrip`: use new streaming writer API
+- Keep `archiveCheckpointsToParquet` returning rows (it's per-host, manageable size)
+
+## Files to Modify
+
+- **`pkg/metricstore/parquetArchive.go`**: Add `parquetArchiveWriter`, `estimateRowCount`; remove `writeParquetArchive`; add `"sort"` import
+- **`pkg/metricstore/archive.go`**: Restructure `archiveCheckpoints` to stream
+- **`pkg/metricstore/parquetArchive_test.go`**: Update roundtrip test
+
+## Memory Impact
+
+- **Before**: All hosts in memory (~40GB for 256 nodes) + sorting buffer (~40GB) = 68GB+
+- **After**: One host at a time (~16MB) + parquet page buffer (~1MB) = ~17MB peak
+
+## Sorting Tradeoff
+
+The output changes from one globally-sorted row group to N row groups (one per host), each internally sorted by (metric, timestamp). This is actually better for ClusterCockpit's per-host query patterns (enables row group skipping).
+
+## Verification
+
+```bash
+go test -v ./pkg/metricstore/...
+```
+
+Also verify with `go vet ./pkg/metricstore/...` for correctness.
+
+
+If you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-CC-cc-backend/71340843-de3d-4e83-9dcb-2fc130c50e0d.jsonl
+
+---
+
+Are the any other cases with memory spikes using the Parquet Writer, e.g. in the nodestate retention?
+
+---
+
+[Request interrupted by user for tool use]
+
+---
+
+Compare the archive writer implementation with @~/tmp/cc-backend/pkg/metricstore/parquetArchive.go . Compare and explain differences.
+
+---
+
+Add an Info logmessage in archiveCheckpoints that archving started and provide timing information how long it took.
\ No newline at end of file
diff --git a/bf/29af79b268/metadata.json b/bf/29af79b268/metadata.json
new file mode 100644
index 00000000..70520f78
--- /dev/null
+++ b/bf/29af79b268/metadata.json
@@ -0,0 +1,26 @@
+{
+  "cli_version": "0.4.8",
+  "checkpoint_id": "bf29af79b268",
+  "strategy": "manual-commit",
+  "branch": "hotfix",
+  "checkpoints_count": 2,
+  "files_touched": [
+    "pkg/metricstore/archive.go"
+  ],
+  "sessions": [
+    {
+      "metadata": "/bf/29af79b268/0/metadata.json",
+      "transcript": "/bf/29af79b268/0/full.jsonl",
+      "context": "/bf/29af79b268/0/context.md",
+      "content_hash": "/bf/29af79b268/0/content_hash.txt",
+      "prompt": "/bf/29af79b268/0/prompt.txt"
+    }
+  ],
+  "token_usage": {
+    "input_tokens": 38,
+    "cache_creation_tokens": 101668,
+    "cache_read_tokens": 1392819,
+    "output_tokens": 11761,
+    "api_call_count": 28
+  }
+}
diff --git a/d4/f6c79a8dc1/0/content_hash.txt b/d4/f6c79a8dc1/0/content_hash.txt
new file mode 100644
index 00000000..6140857a
--- /dev/null
+++ b/d4/f6c79a8dc1/0/content_hash.txt
@@ -0,0 +1 @@
+sha256:678d0c433385a3f6c57802e2d85020dbb4ff6498263bbc9d0c5752ffdcff0a5a
\ No newline at end of file
diff --git a/d4/f6c79a8dc1/0/full.jsonl b/d4/f6c79a8dc1/0/full.jsonl
new file mode 100644
index 00000000..226e4975
--- /dev/null
+++ b/d4/f6c79a8dc1/0/full.jsonl
@@ -0,0 +1,366 @@
+{"type":"file-history-snapshot","messageId":"0cc8876b-10ce-4edf-943f-0617397039d7","snapshot":{"messageId":"0cc8876b-10ce-4edf-943f-0617397039d7","trackedFileBackups":{},"timestamp":"2026-03-16T10:12:35.009Z"},"isSnapshotUpdate":false}
+{"parentUuid":null,"isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"b00ef795-93ec-48c5-8adf-d49a96a2ed32","toolUseID":"b00ef795-93ec-48c5-8adf-d49a96a2ed32","timestamp":"2026-03-16T10:12:34.962Z","uuid":"62323b49-5343-4dbc-9e12-4595d1cbe76a","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"62323b49-5343-4dbc-9e12-4595d1cbe76a","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Fix: SQLite Write Contention Causing OOM Crash\n\n## Context\n\nThe server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.\n\n**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.\n\nThe cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.\n\n---\n\n## Fix 1: Increase busy_timeout (contention relief)\n\n**File:** `internal/repository/dbConnection.go:73`\n\nChange `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:\n\n**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.\n\n**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.\n\n**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.\n\nWith 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.\n\n---\n\n## Fix 2: Batch Node State Updates in a Transaction\n\nCurrently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.\n\n**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:\n- Accept a slice of `(hostname, cluster, nodeState)` tuples\n- Begin transaction\n- For each node: lookup ID (or insert node), then insert state — all within the same transaction\n- Commit once\n\n**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.\n\n**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).\n\nKeep the existing `UpdateNodeState` method for single-node use cases.\n\n---\n\n## Fix 3: Fix LDAP Sync Race Condition\n\nThe LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.\n\n**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:\n```go\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n    rolesJson, _ := json.Marshal(user.Roles)\n    projectsJson, _ := json.Marshal(user.Projects)\n    cols := \"username, name, roles, projects, ldap\"\n    _, err := r.DB.Exec(\n        `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,\n        user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n    return err\n}\n```\n\n**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.\n\nNote: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.\n\n---\n\n## Fix 4: Add Semaphore for NATS Handlers\n\nWithout rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.\n\n**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:\n```go\ntype NatsAPI struct {\n    JobRepository   *repository.JobRepository\n    RepositoryMutex sync.Mutex\n    jobSem          chan struct{}\n    nodeSem         chan struct{}\n}\n```\n\nInitialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.\n\nAdd acquire/release in `handleJobEvent` and `handleNodeState`:\n```go\napi.jobSem <- struct{}{}\ndefer func() { <-api.jobSem }()\n```\n\nThis caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.\n\n---\n\n## Fix 5: Wrap SyncJobs in a Transaction\n\n**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)\n\nCurrently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:\n- `tx, err := r.DB.Beginx()`\n- Run all three operations on `tx`\n- `tx.Commit()`\n- Do the read-only ID resolution outside the transaction\n\nThis reduces lock acquisitions from 3 to 1 and ensures atomicity.\n\n---\n\n## Implementation Order\n\n1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact\n2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change\n3. **Fix 2** (batch node states) — biggest contention reduction\n4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction\n5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation\n\n---\n\n## Verification\n\n1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.\n2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.\n3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.\n4. Run `go test ./internal/repository/... ./internal/api/... ./internal/auth/...` after all changes.\n5. Load test: simulate burst of 100+ concurrent job start/stop events + node state update with 500 nodes + LDAP sync running simultaneously. Monitor goroutine count and memory.\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/d36fdafb-27dd-4101-b89a-e2bec3f83825.jsonl"},"uuid":"0cc8876b-10ce-4edf-943f-0617397039d7","timestamp":"2026-03-16T10:12:34.796Z","planContent":"# Fix: SQLite Write Contention Causing OOM Crash\n\n## Context\n\nThe server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.\n\n**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.\n\nThe cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.\n\n---\n\n## Fix 1: Increase busy_timeout (contention relief)\n\n**File:** `internal/repository/dbConnection.go:73`\n\nChange `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:\n\n**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.\n\n**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.\n\n**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.\n\nWith 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.\n\n---\n\n## Fix 2: Batch Node State Updates in a Transaction\n\nCurrently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.\n\n**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:\n- Accept a slice of `(hostname, cluster, nodeState)` tuples\n- Begin transaction\n- For each node: lookup ID (or insert node), then insert state — all within the same transaction\n- Commit once\n\n**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.\n\n**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).\n\nKeep the existing `UpdateNodeState` method for single-node use cases.\n\n---\n\n## Fix 3: Fix LDAP Sync Race Condition\n\nThe LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.\n\n**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:\n```go\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n    rolesJson, _ := json.Marshal(user.Roles)\n    projectsJson, _ := json.Marshal(user.Projects)\n    cols := \"username, name, roles, projects, ldap\"\n    _, err := r.DB.Exec(\n        `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,\n        user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n    return err\n}\n```\n\n**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.\n\nNote: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.\n\n---\n\n## Fix 4: Add Semaphore for NATS Handlers\n\nWithout rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.\n\n**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:\n```go\ntype NatsAPI struct {\n    JobRepository   *repository.JobRepository\n    RepositoryMutex sync.Mutex\n    jobSem          chan struct{}\n    nodeSem         chan struct{}\n}\n```\n\nInitialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.\n\nAdd acquire/release in `handleJobEvent` and `handleNodeState`:\n```go\napi.jobSem <- struct{}{}\ndefer func() { <-api.jobSem }()\n```\n\nThis caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.\n\n---\n\n## Fix 5: Wrap SyncJobs in a Transaction\n\n**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)\n\nCurrently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:\n- `tx, err := r.DB.Beginx()`\n- Run all three operations on `tx`\n- `tx.Commit()`\n- Do the read-only ID resolution outside the transaction\n\nThis reduces lock acquisitions from 3 to 1 and ensures atomicity.\n\n---\n\n## Implementation Order\n\n1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact\n2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change\n3. **Fix 2** (batch node states) — biggest contention reduction\n4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction\n5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation\n\n---\n\n## Verification\n\n1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.\n2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.\n3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.\n4. Run `go test ./internal/repository/... ./internal/api/... ./internal/auth/...` after all changes.\n5. Load test: simulate burst of 100+ concurrent job start/stop events + node state update with 500 nodes + LDAP sync running simultaneously. Monitor goroutine count and memory.\n","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"0e3b4b9e-99f8-48be-903e-a49279316f25","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01TzRH5T8DTsP1Dn1zhjYuLh","toolUseID":"toolu_01TzRH5T8DTsP1Dn1zhjYuLh","timestamp":"2026-03-16T10:12:39.545Z","uuid":"9a0f39be-6570-40f2-ac77-182757e68941","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"0e3b4b9e-99f8-48be-903e-a49279316f25","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TzRH5T8DTsP1Dn1zhjYuLh","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"database/sql\"\n    10→\t\"fmt\"\n    11→\t\"net/url\"\n    12→\t\"sync\"\n    13→\t\"time\"\n    14→\n    15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    16→\t\"github.com/jmoiron/sqlx\"\n    17→\t\"github.com/mattn/go-sqlite3\"\n    18→\t\"github.com/qustavo/sqlhooks/v2\"\n    19→)\n    20→\n    21→var (\n    22→\tdbConnOnce     sync.Once\n    23→\tdbConnInstance *DBConnection\n    24→)\n    25→\n    26→type DBConnection struct {\n    27→\tDB     *sqlx.DB\n    28→\tDriver string\n    29→}\n    30→\n    31→type DatabaseOptions struct {\n    32→\tURL                   string\n    33→\tMaxOpenConnections    int\n    34→\tMaxIdleConnections    int\n    35→\tConnectionMaxLifetime time.Duration\n    36→\tConnectionMaxIdleTime time.Duration\n    37→}\n    38→\n    39→func setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n    40→\tpragmas := []string{\n    41→\t\t\"temp_store = memory\",\n    42→\t\tfmt.Sprintf(\"soft_heap_limit = %d\", int64(cfg.DbSoftHeapLimitMB)*1024*1024),\n    43→\t}\n    44→\n    45→\tfor _, pragma := range pragmas {\n    46→\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n    47→\t\tif err != nil {\n    48→\t\t\treturn err\n    49→\t\t}\n    50→\t}\n    51→\n    52→\treturn nil\n    53→}\n    54→\n    55→func Connect(db string) {\n    56→\tvar err error\n    57→\tvar dbHandle *sqlx.DB\n    58→\n    59→\tdbConnOnce.Do(func() {\n    60→\t\topts := DatabaseOptions{\n    61→\t\t\tURL:                   db,\n    62→\t\t\tMaxOpenConnections:    repoConfig.MaxOpenConnections,\n    63→\t\t\tMaxIdleConnections:    repoConfig.MaxIdleConnections,\n    64→\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n    65→\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n    66→\t\t}\n    67→\n    68→\t\t// TODO: Have separate DB handles for Writes and Reads\n    69→\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n    70→\t\tconnectionURLParams := make(url.Values)\n    71→\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n    72→\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n    73→\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n    74→\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n    75→\t\tcacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\n    76→\t\tconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))\n    77→\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n    78→\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n    79→\n    80→\t\tif cclog.Loglevel() == \"debug\" {\n    81→\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n    82→\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n    83→\t\t} else {\n    84→\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n    85→\t\t}\n    86→\n    87→\t\tif err != nil {\n    88→\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n    89→\t\t}\n    90→\n    91→\t\terr = setupSqlite(dbHandle.DB, repoConfig)\n    92→\t\tif err != nil {\n    93→\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n    94→\t\t}\n    95→\n    96→\t\tcclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n    97→\t\t\trepoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n    98→\n    99→\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n   100→\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n   101→\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n   102→\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n   103→\n   104→\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n   105→\t\terr = checkDBVersion(dbHandle.DB)\n   106→\t\tif err != nil {\n   107→\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n   108→\t\t}\n   109→\t})\n   110→}\n   111→\n   112→func GetConnection() *DBConnection {\n   113→\tif dbConnInstance == nil {\n   114→\t\tcclog.Fatalf(\"Database connection not initialized!\")\n   115→\t}\n   116→\n   117→\treturn dbConnInstance\n   118→}\n   119→\n   120→// ResetConnection closes the current database connection and resets the connection state.\n   121→// This function is intended for testing purposes only to allow test isolation.\n   122→func ResetConnection() error {\n   123→\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n   124→\t\tif err := dbConnInstance.DB.Close(); err != nil {\n   125→\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n   126→\t\t}\n   127→\t}\n   128→\n   129→\tdbConnInstance = nil\n   130→\tdbConnOnce = sync.Once{}\n   131→\tjobRepoInstance = nil\n   132→\tjobRepoOnce = sync.Once{}\n   133→\tnodeRepoInstance = nil\n   134→\tnodeRepoOnce = sync.Once{}\n   135→\tuserRepoInstance = nil\n   136→\tuserRepoOnce = sync.Once{}\n   137→\tuserCfgRepoInstance = nil\n   138→\tuserCfgRepoOnce = sync.Once{}\n   139→\n   140→\treturn nil\n   141→}\n   142→"}]},"uuid":"053ca6d0-ed8d-4c44-8b34-5684b920c55c","timestamp":"2026-03-16T10:12:39.544Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/dbConnection.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"fmt\"\n\t\"net/url\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"github.com/mattn/go-sqlite3\"\n\t\"github.com/qustavo/sqlhooks/v2\"\n)\n\nvar (\n\tdbConnOnce     sync.Once\n\tdbConnInstance *DBConnection\n)\n\ntype DBConnection struct {\n\tDB     *sqlx.DB\n\tDriver string\n}\n\ntype DatabaseOptions struct {\n\tURL                   string\n\tMaxOpenConnections    int\n\tMaxIdleConnections    int\n\tConnectionMaxLifetime time.Duration\n\tConnectionMaxIdleTime time.Duration\n}\n\nfunc setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t\tfmt.Sprintf(\"soft_heap_limit = %d\", int64(cfg.DbSoftHeapLimitMB)*1024*1024),\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc Connect(db string) {\n\tvar err error\n\tvar dbHandle *sqlx.DB\n\n\tdbConnOnce.Do(func() {\n\t\topts := DatabaseOptions{\n\t\t\tURL:                   db,\n\t\t\tMaxOpenConnections:    repoConfig.MaxOpenConnections,\n\t\t\tMaxIdleConnections:    repoConfig.MaxIdleConnections,\n\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n\t\t}\n\n\t\t// TODO: Have separate DB handles for Writes and Reads\n\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n\t\tconnectionURLParams := make(url.Values)\n\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n\t\tcacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\n\t\tconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))\n\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n\n\t\tif cclog.Loglevel() == \"debug\" {\n\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n\t\t} else {\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n\t\t}\n\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\terr = setupSqlite(dbHandle.DB, repoConfig)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tcclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n\t\t\trepoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n\n\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n\t\terr = checkDBVersion(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n\t\t}\n\t})\n}\n\nfunc GetConnection() *DBConnection {\n\tif dbConnInstance == nil {\n\t\tcclog.Fatalf(\"Database connection not initialized!\")\n\t}\n\n\treturn dbConnInstance\n}\n\n// ResetConnection closes the current database connection and resets the connection state.\n// This function is intended for testing purposes only to allow test isolation.\nfunc ResetConnection() error {\n\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n\t\tif err := dbConnInstance.DB.Close(); err != nil {\n\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n\t\t}\n\t}\n\n\tdbConnInstance = nil\n\tdbConnOnce = sync.Once{}\n\tjobRepoInstance = nil\n\tjobRepoOnce = sync.Once{}\n\tnodeRepoInstance = nil\n\tnodeRepoOnce = sync.Once{}\n\tuserRepoInstance = nil\n\tuserRepoOnce = sync.Once{}\n\tuserCfgRepoInstance = nil\n\tuserCfgRepoOnce = sync.Once{}\n\n\treturn nil\n}\n","numLines":142,"startLine":1,"totalLines":142}},"sourceToolAssistantUUID":"0e3b4b9e-99f8-48be-903e-a49279316f25","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"352d7440-d01b-4d22-bd9c-3f56616211e2","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012orF9pg72YJWFiTr5U3zzS","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import \"time\"\n     9→\n    10→// RepositoryConfig holds configuration for repository operations.\n    11→// All fields have sensible defaults, so this configuration is optional.\n    12→type RepositoryConfig struct {\n    13→\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n    14→\t// Default: 1MB (1024 * 1024 bytes)\n    15→\tCacheSize int\n    16→\n    17→\t// MaxOpenConnections is the maximum number of open database connections.\n    18→\t// Default: 4\n    19→\tMaxOpenConnections int\n    20→\n    21→\t// MaxIdleConnections is the maximum number of idle database connections.\n    22→\t// Default: 4\n    23→\tMaxIdleConnections int\n    24→\n    25→\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n    26→\t// Default: 1 hour\n    27→\tConnectionMaxLifetime time.Duration\n    28→\n    29→\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n    30→\t// Default: 10 minutes\n    31→\tConnectionMaxIdleTime time.Duration\n    32→\n    33→\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n    34→\t// considered in \"running jobs\" queries. This filters out very short jobs.\n    35→\t// Default: 600 seconds (10 minutes)\n    36→\tMinRunningJobDuration int\n    37→\n    38→\t// DbCacheSizeMB is the SQLite page cache size per connection in MB.\n    39→\t// Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n    40→\t// and DbCacheSizeMB=2048, total page cache is up to 8GB.\n    41→\t// Default: 2048 (2GB)\n    42→\tDbCacheSizeMB int\n    43→\n    44→\t// DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n    45→\t// SQLite will try to release cache pages to stay under this limit.\n    46→\t// It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n    47→\t// Default: 16384 (16GB)\n    48→\tDbSoftHeapLimitMB int\n    49→}\n    50→\n    51→// DefaultConfig returns the default repository configuration.\n    52→// These values are optimized for typical deployments.\n    53→func DefaultConfig() *RepositoryConfig {\n    54→\treturn &RepositoryConfig{\n    55→\t\tCacheSize:             1 * 1024 * 1024, // 1MB\n    56→\t\tMaxOpenConnections:    4,\n    57→\t\tMaxIdleConnections:    4,\n    58→\t\tConnectionMaxLifetime: time.Hour,\n    59→\t\tConnectionMaxIdleTime: 10 * time.Minute,\n    60→\t\tMinRunningJobDuration: 600, // 10 minutes\n    61→\t\tDbCacheSizeMB:        2048,  // 2GB per connection\n    62→\t\tDbSoftHeapLimitMB:    16384, // 16GB process-wide\n    63→\t}\n    64→}\n    65→\n    66→// repoConfig is the package-level configuration instance.\n    67→// It is initialized with defaults and can be overridden via SetConfig.\n    68→var repoConfig *RepositoryConfig = DefaultConfig()\n    69→\n    70→// SetConfig sets the repository configuration.\n    71→// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n    72→// If not called, default values from DefaultConfig() are used.\n    73→func SetConfig(cfg *RepositoryConfig) {\n    74→\tif cfg != nil {\n    75→\t\trepoConfig = cfg\n    76→\t}\n    77→}\n    78→\n    79→// GetConfig returns the current repository configuration.\n    80→func GetConfig() *RepositoryConfig {\n    81→\treturn repoConfig\n    82→}\n    83→"}]},"uuid":"85257af6-41af-4431-9199-d7d5cd1f1c06","timestamp":"2026-03-16T10:12:40.045Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/config.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport \"time\"\n\n// RepositoryConfig holds configuration for repository operations.\n// All fields have sensible defaults, so this configuration is optional.\ntype RepositoryConfig struct {\n\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n\t// Default: 1MB (1024 * 1024 bytes)\n\tCacheSize int\n\n\t// MaxOpenConnections is the maximum number of open database connections.\n\t// Default: 4\n\tMaxOpenConnections int\n\n\t// MaxIdleConnections is the maximum number of idle database connections.\n\t// Default: 4\n\tMaxIdleConnections int\n\n\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n\t// Default: 1 hour\n\tConnectionMaxLifetime time.Duration\n\n\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n\t// Default: 10 minutes\n\tConnectionMaxIdleTime time.Duration\n\n\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n\t// considered in \"running jobs\" queries. This filters out very short jobs.\n\t// Default: 600 seconds (10 minutes)\n\tMinRunningJobDuration int\n\n\t// DbCacheSizeMB is the SQLite page cache size per connection in MB.\n\t// Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n\t// and DbCacheSizeMB=2048, total page cache is up to 8GB.\n\t// Default: 2048 (2GB)\n\tDbCacheSizeMB int\n\n\t// DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n\t// SQLite will try to release cache pages to stay under this limit.\n\t// It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n\t// Default: 16384 (16GB)\n\tDbSoftHeapLimitMB int\n}\n\n// DefaultConfig returns the default repository configuration.\n// These values are optimized for typical deployments.\nfunc DefaultConfig() *RepositoryConfig {\n\treturn &RepositoryConfig{\n\t\tCacheSize:             1 * 1024 * 1024, // 1MB\n\t\tMaxOpenConnections:    4,\n\t\tMaxIdleConnections:    4,\n\t\tConnectionMaxLifetime: time.Hour,\n\t\tConnectionMaxIdleTime: 10 * time.Minute,\n\t\tMinRunningJobDuration: 600, // 10 minutes\n\t\tDbCacheSizeMB:        2048,  // 2GB per connection\n\t\tDbSoftHeapLimitMB:    16384, // 16GB process-wide\n\t}\n}\n\n// repoConfig is the package-level configuration instance.\n// It is initialized with defaults and can be overridden via SetConfig.\nvar repoConfig *RepositoryConfig = DefaultConfig()\n\n// SetConfig sets the repository configuration.\n// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n// If not called, default values from DefaultConfig() are used.\nfunc SetConfig(cfg *RepositoryConfig) {\n\tif cfg != nil {\n\t\trepoConfig = cfg\n\t}\n}\n\n// GetConfig returns the current repository configuration.\nfunc GetConfig() *RepositoryConfig {\n\treturn repoConfig\n}\n","numLines":83,"startLine":1,"totalLines":83}},"sourceToolAssistantUUID":"352d7440-d01b-4d22-bd9c-3f56616211e2","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"641c9a76-91d8-4156-a19d-7ccb6d93cf69","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ApteHWPiKLmA7YP4uFfRyv","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package archive\n     7→\n     8→import (\n     9→\t\"bytes\"\n    10→\t\"compress/gzip\"\n    11→\t\"database/sql\"\n    12→\t\"encoding/json\"\n    13→\t\"fmt\"\n    14→\t\"io\"\n    15→\t\"math\"\n    16→\t\"os\"\n    17→\t\"slices\"\n    18→\t\"strconv\"\n    19→\t\"sync\"\n    20→\t\"text/tabwriter\"\n    21→\t\"time\"\n    22→\n    23→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    24→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    25→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    26→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n    27→\t_ \"github.com/mattn/go-sqlite3\"\n    28→)\n    29→\n    30→// SqliteArchiveConfig holds the configuration for the SQLite archive backend.\n    31→type SqliteArchiveConfig struct {\n    32→\tDBPath string `json:\"db-path\"` // Path to SQLite database file\n    33→}\n    34→\n    35→// SqliteArchive implements ArchiveBackend using a SQLite database with BLOB storage.\n    36→// Job metadata and data are stored as JSON BLOBs with indexes for fast queries.\n    37→//\n    38→// Uses WAL (Write-Ahead Logging) mode for better concurrency and a 64MB cache.\n    39→type SqliteArchive struct {\n    40→\tdb       *sql.DB  // SQLite database connection\n    41→\tclusters []string // List of discovered cluster names\n    42→}\n    43→\n    44→// sqliteSchema defines the database schema for SQLite archive backend.\n    45→// Jobs table: stores job metadata and data as BLOBs with compression flag\n    46→// Clusters table: stores cluster configurations\n    47→// Metadata table: stores version and other key-value pairs\n    48→const sqliteSchema = `\n    49→CREATE TABLE IF NOT EXISTS jobs (\n    50→    id INTEGER PRIMARY KEY AUTOINCREMENT,\n    51→    job_id INTEGER NOT NULL,\n    52→    cluster TEXT NOT NULL,\n    53→    start_time INTEGER NOT NULL,\n    54→    meta_json BLOB NOT NULL,\n    55→    data_json BLOB,\n    56→    data_compressed BOOLEAN DEFAULT 0,\n    57→    created_at INTEGER NOT NULL,\n    58→    updated_at INTEGER NOT NULL,\n    59→    UNIQUE(job_id, cluster, start_time)\n    60→);\n    61→\n    62→CREATE INDEX IF NOT EXISTS idx_jobs_cluster ON jobs(cluster);\n    63→CREATE INDEX IF NOT EXISTS idx_jobs_start_time ON jobs(start_time);\n    64→CREATE INDEX IF NOT EXISTS idx_jobs_order ON jobs(cluster, start_time);\n    65→CREATE INDEX IF NOT EXISTS idx_jobs_lookup ON jobs(cluster, job_id, start_time);\n    66→\n    67→CREATE TABLE IF NOT EXISTS clusters (\n    68→    name TEXT PRIMARY KEY,\n    69→    config_json BLOB NOT NULL,\n    70→    updated_at INTEGER NOT NULL\n    71→);\n    72→\n    73→CREATE TABLE IF NOT EXISTS metadata (\n    74→    key TEXT PRIMARY KEY,\n    75→    value TEXT NOT NULL\n    76→);\n    77→`\n    78→\n    79→func (sa *SqliteArchive) Init(rawConfig json.RawMessage) (uint64, error) {\n    80→\tvar cfg SqliteArchiveConfig\n    81→\tif err := json.Unmarshal(rawConfig, &cfg); err != nil {\n    82→\t\tcclog.Warnf(\"SqliteArchive Init() > Unmarshal error: %#v\", err)\n    83→\t\treturn 0, err\n    84→\t}\n    85→\n    86→\tif cfg.DBPath == \"\" {\n    87→\t\terr := fmt.Errorf(\"SqliteArchive Init(): empty database path\")\n    88→\t\tcclog.Errorf(\"SqliteArchive Init() > config error: %v\", err)\n    89→\t\treturn 0, err\n    90→\t}\n    91→\n    92→\t// Open SQLite database\n    93→\tdb, err := sql.Open(\"sqlite3\", cfg.DBPath)\n    94→\tif err != nil {\n    95→\t\tcclog.Errorf(\"SqliteArchive Init() > failed to open database: %v\", err)\n    96→\t\treturn 0, err\n    97→\t}\n    98→\tsa.db = db\n    99→\n   100→\t// Set pragmas for better performance\n   101→\tpragmas := []string{\n   102→\t\t\"PRAGMA journal_mode=WAL\",\n   103→\t\t\"PRAGMA synchronous=NORMAL\",\n   104→\t\t\"PRAGMA cache_size=-64000\", // 64MB cache\n   105→\t\t\"PRAGMA busy_timeout=5000\",\n   106→\t}\n   107→\tfor _, pragma := range pragmas {\n   108→\t\tif _, err := sa.db.Exec(pragma); err != nil {\n   109→\t\t\tcclog.Warnf(\"SqliteArchive Init() > pragma failed: %v\", err)\n   110→\t\t}\n   111→\t}\n   112→\n   113→\t// Create schema\n   114→\tif _, err := sa.db.Exec(sqliteSchema); err != nil {\n   115→\t\tcclog.Errorf(\"SqliteArchive Init() > schema creation failed: %v\", err)\n   116→\t\treturn 0, err\n   117→\t}\n   118→\n   119→\t// Check/set version\n   120→\tvar versionStr string\n   121→\terr = sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'version'\").Scan(&versionStr)\n   122→\tif err == sql.ErrNoRows {\n   123→\t\t// First time initialization, set version\n   124→\t\t_, err = sa.db.Exec(\"INSERT INTO metadata (key, value) VALUES ('version', ?)\", fmt.Sprintf(\"%d\", Version))\n   125→\t\tif err != nil {\n   126→\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to set version: %v\", err)\n   127→\t\t\treturn 0, err\n   128→\t\t}\n   129→\t\tversionStr = fmt.Sprintf(\"%d\", Version)\n   130→\t} else if err != nil {\n   131→\t\tcclog.Errorf(\"SqliteArchive Init() > failed to read version: %v\", err)\n   132→\t\treturn 0, err\n   133→\t}\n   134→\n   135→\tversion, err := strconv.ParseUint(versionStr, 10, 64)\n   136→\tif err != nil {\n   137→\t\tcclog.Errorf(\"SqliteArchive Init() > version parse error: %v\", err)\n   138→\t\treturn 0, err\n   139→\t}\n   140→\n   141→\tif version != Version {\n   142→\t\treturn version, fmt.Errorf(\"unsupported version %d, need %d\", version, Version)\n   143→\t}\n   144→\n   145→\t// Discover clusters\n   146→\tsa.clusters = []string{}\n   147→\trows, err := sa.db.Query(\"SELECT DISTINCT cluster FROM jobs ORDER BY cluster\")\n   148→\tif err != nil {\n   149→\t\tcclog.Errorf(\"SqliteArchive Init() > failed to query clusters: %v\", err)\n   150→\t\treturn 0, err\n   151→\t}\n   152→\tdefer rows.Close()\n   153→\n   154→\tfor rows.Next() {\n   155→\t\tvar cluster string\n   156→\t\tif err := rows.Scan(&cluster); err != nil {\n   157→\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to scan cluster: %v\", err)\n   158→\t\t\tcontinue\n   159→\t\t}\n   160→\t\tsa.clusters = append(sa.clusters, cluster)\n   161→\t}\n   162→\n   163→\tcclog.Infof(\"SqliteArchive initialized with database '%s', found %d clusters\", cfg.DBPath, len(sa.clusters))\n   164→\treturn version, nil\n   165→}\n   166→\n   167→func (sa *SqliteArchive) Info() {\n   168→\tfmt.Printf(\"SQLite Job archive database\\n\")\n   169→\n   170→\tci := make(map[string]*clusterInfo)\n   171→\n   172→\trows, err := sa.db.Query(`\n   173→\t\tSELECT cluster, COUNT(*), MIN(start_time), MAX(start_time),\n   174→\t\t       SUM(LENGTH(meta_json) + COALESCE(LENGTH(data_json), 0))\n   175→\t\tFROM jobs\n   176→\t\tGROUP BY cluster\n   177→\t`)\n   178→\tif err != nil {\n   179→\t\tcclog.Fatalf(\"SqliteArchive Info() > query failed: %s\", err.Error())\n   180→\t}\n   181→\tdefer rows.Close()\n   182→\n   183→\tfor rows.Next() {\n   184→\t\tvar cluster string\n   185→\t\tvar numJobs int\n   186→\t\tvar dateFirst, dateLast int64\n   187→\t\tvar diskSize int64\n   188→\n   189→\t\tif err := rows.Scan(&cluster, &numJobs, &dateFirst, &dateLast, &diskSize); err != nil {\n   190→\t\t\tcclog.Errorf(\"SqliteArchive Info() > scan failed: %v\", err)\n   191→\t\t\tcontinue\n   192→\t\t}\n   193→\n   194→\t\tci[cluster] = &clusterInfo{\n   195→\t\t\tnumJobs:   numJobs,\n   196→\t\t\tdateFirst: dateFirst,\n   197→\t\t\tdateLast:  dateLast,\n   198→\t\t\tdiskSize:  float64(diskSize) / (1024 * 1024), // Convert to MB\n   199→\t\t}\n   200→\t}\n   201→\n   202→\tcit := clusterInfo{dateFirst: time.Now().Unix()}\n   203→\tw := tabwriter.NewWriter(os.Stdout, 0, 0, 2, ' ', tabwriter.Debug)\n   204→\tfmt.Fprintln(w, \"cluster\\t#jobs\\tfrom\\tto\\tsize (MB)\")\n   205→\tfor cluster, clusterInfo := range ci {\n   206→\t\tfmt.Fprintf(w, \"%s\\t%d\\t%s\\t%s\\t%.2f\\n\", cluster,\n   207→\t\t\tclusterInfo.numJobs,\n   208→\t\t\ttime.Unix(clusterInfo.dateFirst, 0),\n   209→\t\t\ttime.Unix(clusterInfo.dateLast, 0),\n   210→\t\t\tclusterInfo.diskSize)\n   211→\n   212→\t\tcit.numJobs += clusterInfo.numJobs\n   213→\t\tcit.dateFirst = util.Min(cit.dateFirst, clusterInfo.dateFirst)\n   214→\t\tcit.dateLast = util.Max(cit.dateLast, clusterInfo.dateLast)\n   215→\t\tcit.diskSize += clusterInfo.diskSize\n   216→\t}\n   217→\n   218→\tfmt.Fprintf(w, \"TOTAL\\t%d\\t%s\\t%s\\t%.2f\\n\",\n   219→\t\tcit.numJobs, time.Unix(cit.dateFirst, 0), time.Unix(cit.dateLast, 0), cit.diskSize)\n   220→\tw.Flush()\n   221→}\n   222→\n   223→func (sa *SqliteArchive) Exists(job *schema.Job) bool {\n   224→\tvar count int\n   225→\terr := sa.db.QueryRow(\"SELECT COUNT(*) FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n   226→\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&count)\n   227→\treturn err == nil && count > 0\n   228→}\n   229→\n   230→func (sa *SqliteArchive) LoadJobMeta(job *schema.Job) (*schema.Job, error) {\n   231→\tvar metaBlob []byte\n   232→\terr := sa.db.QueryRow(\"SELECT meta_json FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n   233→\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&metaBlob)\n   234→\tif err != nil {\n   235→\t\tcclog.Errorf(\"SqliteArchive LoadJobMeta() > query error: %v\", err)\n   236→\t\treturn nil, err\n   237→\t}\n   238→\n   239→\tif config.Keys.Validate {\n   240→\t\tif err := schema.Validate(schema.Meta, bytes.NewReader(metaBlob)); err != nil {\n   241→\t\t\treturn nil, fmt.Errorf(\"validate job meta: %v\", err)\n   242→\t\t}\n   243→\t}\n   244→\n   245→\treturn DecodeJobMeta(bytes.NewReader(metaBlob))\n   246→}\n   247→\n   248→func (sa *SqliteArchive) LoadJobData(job *schema.Job) (schema.JobData, error) {\n   249→\tvar dataBlob []byte\n   250→\tvar compressed bool\n   251→\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n   252→\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n   253→\tif err != nil {\n   254→\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > query error: %v\", err)\n   255→\t\treturn nil, err\n   256→\t}\n   257→\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n   258→\n   259→\tvar reader io.Reader = bytes.NewReader(dataBlob)\n   260→\tif compressed {\n   261→\t\tgzipReader, err := gzip.NewReader(reader)\n   262→\t\tif err != nil {\n   263→\t\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > gzip error: %v\", err)\n   264→\t\t\treturn nil, err\n   265→\t\t}\n   266→\t\tdefer gzipReader.Close()\n   267→\t\treader = gzipReader\n   268→\t}\n   269→\n   270→\tif config.Keys.Validate {\n   271→\t\tdata, _ := io.ReadAll(reader)\n   272→\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n   273→\t\t\treturn schema.JobData{}, fmt.Errorf(\"validate job data: %v\", err)\n   274→\t\t}\n   275→\t\treturn DecodeJobData(bytes.NewReader(data), key)\n   276→\t}\n   277→\n   278→\treturn DecodeJobData(reader, key)\n   279→}\n   280→\n   281→func (sa *SqliteArchive) LoadJobStats(job *schema.Job) (schema.ScopedJobStats, error) {\n   282→\tvar dataBlob []byte\n   283→\tvar compressed bool\n   284→\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n   285→\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n   286→\tif err != nil {\n   287→\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > query error: %v\", err)\n   288→\t\treturn nil, err\n   289→\t}\n   290→\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n   291→\n   292→\tvar reader io.Reader = bytes.NewReader(dataBlob)\n   293→\tif compressed {\n   294→\t\tgzipReader, err := gzip.NewReader(reader)\n   295→\t\tif err != nil {\n   296→\t\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > gzip error: %v\", err)\n   297→\t\t\treturn nil, err\n   298→\t\t}\n   299→\t\tdefer gzipReader.Close()\n   300→\t\treader = gzipReader\n   301→\t}\n   302→\n   303→\tif config.Keys.Validate {\n   304→\t\tdata, _ := io.ReadAll(reader)\n   305→\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n   306→\t\t\treturn nil, fmt.Errorf(\"validate job data: %v\", err)\n   307→\t\t}\n   308→\t\treturn DecodeJobStats(bytes.NewReader(data), key)\n   309→\t}\n   310→\n   311→\treturn DecodeJobStats(reader, key)\n   312→}\n   313→\n   314→func (sa *SqliteArchive) LoadClusterCfg(name string) (*schema.Cluster, error) {\n   315→\tvar configBlob []byte\n   316→\terr := sa.db.QueryRow(\"SELECT config_json FROM clusters WHERE name = ?\", name).Scan(&configBlob)\n   317→\tif err != nil {\n   318→\t\tcclog.Errorf(\"SqliteArchive LoadClusterCfg() > query error: %v\", err)\n   319→\t\treturn nil, err\n   320→\t}\n   321→\n   322→\tif config.Keys.Validate {\n   323→\t\tif err := schema.Validate(schema.ClusterCfg, bytes.NewReader(configBlob)); err != nil {\n   324→\t\t\tcclog.Warnf(\"Validate cluster config: %v\\n\", err)\n   325→\t\t\treturn &schema.Cluster{}, fmt.Errorf(\"validate cluster config: %v\", err)\n   326→\t\t}\n   327→\t}\n   328→\n   329→\treturn DecodeCluster(bytes.NewReader(configBlob))\n   330→}\n   331→\n   332→func (sa *SqliteArchive) StoreJobMeta(job *schema.Job) error {\n   333→\tvar metaBuf bytes.Buffer\n   334→\tif err := EncodeJobMeta(&metaBuf, job); err != nil {\n   335→\t\tcclog.Error(\"SqliteArchive StoreJobMeta() > encoding error\")\n   336→\t\treturn err\n   337→\t}\n   338→\n   339→\tnow := time.Now().Unix()\n   340→\t_, err := sa.db.Exec(`\n   341→\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, created_at, updated_at)\n   342→\t\tVALUES (?, ?, ?, ?, ?, ?)\n   343→\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n   344→\t\t\tmeta_json = excluded.meta_json,\n   345→\t\t\tupdated_at = excluded.updated_at\n   346→\t`, job.JobID, job.Cluster, job.StartTime, metaBuf.Bytes(), now, now)\n   347→\tif err != nil {\n   348→\t\tcclog.Errorf(\"SqliteArchive StoreJobMeta() > insert error: %v\", err)\n   349→\t\treturn err\n   350→\t}\n   351→\n   352→\treturn nil\n   353→}\n   354→\n   355→func (sa *SqliteArchive) ImportJob(jobMeta *schema.Job, jobData *schema.JobData) error {\n   356→\tvar metaBuf, dataBuf bytes.Buffer\n   357→\tif err := EncodeJobMeta(&metaBuf, jobMeta); err != nil {\n   358→\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding meta error\")\n   359→\t\treturn err\n   360→\t}\n   361→\tif err := EncodeJobData(&dataBuf, jobData); err != nil {\n   362→\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding data error\")\n   363→\t\treturn err\n   364→\t}\n   365→\n   366→\tvar dataBytes []byte\n   367→\tvar compressed bool\n   368→\n   369→\tif dataBuf.Len() > 2000 {\n   370→\t\tvar compressedBuf bytes.Buffer\n   371→\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n   372→\t\tif _, err := gzipWriter.Write(dataBuf.Bytes()); err != nil {\n   373→\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip write error: %v\", err)\n   374→\t\t\treturn err\n   375→\t\t}\n   376→\t\tif err := gzipWriter.Close(); err != nil {\n   377→\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip close error: %v\", err)\n   378→\t\t\treturn err\n   379→\t\t}\n   380→\t\tdataBytes = compressedBuf.Bytes()\n   381→\t\tcompressed = true\n   382→\t} else {\n   383→\t\tdataBytes = dataBuf.Bytes()\n   384→\t\tcompressed = false\n   385→\t}\n   386→\n   387→\tnow := time.Now().Unix()\n   388→\t_, err := sa.db.Exec(`\n   389→\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, data_json, data_compressed, created_at, updated_at)\n   390→\t\tVALUES (?, ?, ?, ?, ?, ?, ?, ?)\n   391→\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n   392→\t\t\tmeta_json = excluded.meta_json,\n   393→\t\t\tdata_json = excluded.data_json,\n   394→\t\t\tdata_compressed = excluded.data_compressed,\n   395→\t\t\tupdated_at = excluded.updated_at\n   396→\t`, jobMeta.JobID, jobMeta.Cluster, jobMeta.StartTime, metaBuf.Bytes(), dataBytes, compressed, now, now)\n   397→\tif err != nil {\n   398→\t\tcclog.Errorf(\"SqliteArchive ImportJob() > insert error: %v\", err)\n   399→\t\treturn err\n   400→\t}\n   401→\n   402→\treturn nil\n   403→}\n   404→\n   405→func (sa *SqliteArchive) GetClusters() []string {\n   406→\treturn sa.clusters\n   407→}\n   408→\n   409→func (sa *SqliteArchive) CleanUp(jobs []*schema.Job) {\n   410→\tstart := time.Now()\n   411→\tcount := 0\n   412→\n   413→\ttx, err := sa.db.Begin()\n   414→\tif err != nil {\n   415→\t\tcclog.Errorf(\"SqliteArchive CleanUp() > transaction error: %v\", err)\n   416→\t\treturn\n   417→\t}\n   418→\tdefer tx.Rollback()\n   419→\n   420→\tstmt, err := tx.Prepare(\"DELETE FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n   421→\tif err != nil {\n   422→\t\tcclog.Errorf(\"SqliteArchive CleanUp() > prepare error: %v\", err)\n   423→\t\treturn\n   424→\t}\n   425→\tdefer stmt.Close()\n   426→\n   427→\tfor _, job := range jobs {\n   428→\t\tif job == nil {\n   429→\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() error: job is nil\")\n   430→\t\t\tcontinue\n   431→\t\t}\n   432→\n   433→\t\tif _, err := stmt.Exec(job.JobID, job.Cluster, job.StartTime); err != nil {\n   434→\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() > delete error: %v\", err)\n   435→\t\t} else {\n   436→\t\t\tcount++\n   437→\t\t}\n   438→\t}\n   439→\n   440→\tif err := tx.Commit(); err != nil {\n   441→\t\tcclog.Errorf(\"SqliteArchive CleanUp() > commit error: %v\", err)\n   442→\t\treturn\n   443→\t}\n   444→\n   445→\tcclog.Infof(\"Retention Service - Remove %d jobs from SQLite in %s\", count, time.Since(start))\n   446→}\n   447→\n   448→func (sa *SqliteArchive) Move(jobs []*schema.Job, targetPath string) {\n   449→\t// For SQLite, \"move\" means updating the cluster field or similar\n   450→\t// This is interpretation-dependent; for now we'll just log\n   451→\tcclog.Warnf(\"SqliteArchive Move() is not fully implemented - moves within database not applicable\")\n   452→}\n   453→\n   454→func (sa *SqliteArchive) Clean(before int64, after int64) {\n   455→\tif after == 0 {\n   456→\t\tafter = math.MaxInt64\n   457→\t}\n   458→\n   459→\tresult, err := sa.db.Exec(\"DELETE FROM jobs WHERE start_time < ? OR start_time > ?\", before, after)\n   460→\tif err != nil {\n   461→\t\tcclog.Fatalf(\"SqliteArchive Clean() > delete error: %s\", err.Error())\n   462→\t}\n   463→\n   464→\trowsAffected, _ := result.RowsAffected()\n   465→\tcclog.Infof(\"SqliteArchive Clean() removed %d jobs\", rowsAffected)\n   466→}\n   467→\n   468→func (sa *SqliteArchive) Compress(jobs []*schema.Job) {\n   469→\tvar cnt int\n   470→\tstart := time.Now()\n   471→\n   472→\ttx, err := sa.db.Begin()\n   473→\tif err != nil {\n   474→\t\tcclog.Errorf(\"SqliteArchive Compress() > transaction error: %v\", err)\n   475→\t\treturn\n   476→\t}\n   477→\tdefer tx.Rollback()\n   478→\n   479→\tstmt, err := tx.Prepare(\"UPDATE jobs SET data_json = ?, data_compressed = 1 WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n   480→\tif err != nil {\n   481→\t\tcclog.Errorf(\"SqliteArchive Compress() > prepare error: %v\", err)\n   482→\t\treturn\n   483→\t}\n   484→\tdefer stmt.Close()\n   485→\n   486→\tfor _, job := range jobs {\n   487→\t\tvar dataBlob []byte\n   488→\t\tvar compressed bool\n   489→\t\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n   490→\t\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n   491→\t\tif err != nil || compressed || len(dataBlob) < 2000 {\n   492→\t\t\tcontinue // Skip if error, already compressed, or too small\n   493→\t\t}\n   494→\n   495→\t\t// Compress the data\n   496→\t\tvar compressedBuf bytes.Buffer\n   497→\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n   498→\t\tif _, err := gzipWriter.Write(dataBlob); err != nil {\n   499→\t\t\tcclog.Errorf(\"SqliteArchive Compress() > gzip error: %v\", err)\n   500→\t\t\tgzipWriter.Close()\n   501→\t\t\tcontinue\n   502→\t\t}\n   503→\t\tgzipWriter.Close()\n   504→\n   505→\t\tif _, err := stmt.Exec(compressedBuf.Bytes(), job.JobID, job.Cluster, job.StartTime); err != nil {\n   506→\t\t\tcclog.Errorf(\"SqliteArchive Compress() > update error: %v\", err)\n   507→\t\t} else {\n   508→\t\t\tcnt++\n   509→\t\t}\n   510→\t}\n   511→\n   512→\tif err := tx.Commit(); err != nil {\n   513→\t\tcclog.Errorf(\"SqliteArchive Compress() > commit error: %v\", err)\n   514→\t\treturn\n   515→\t}\n   516→\n   517→\tcclog.Infof(\"Compression Service - %d jobs in SQLite took %s\", cnt, time.Since(start))\n   518→}\n   519→\n   520→func (sa *SqliteArchive) CompressLast(starttime int64) int64 {\n   521→\tvar lastStr string\n   522→\terr := sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'compress_last'\").Scan(&lastStr)\n   523→\n   524→\tvar last int64\n   525→\tif err == sql.ErrNoRows {\n   526→\t\tlast = starttime\n   527→\t} else if err != nil {\n   528→\t\tcclog.Errorf(\"SqliteArchive CompressLast() > query error: %v\", err)\n   529→\t\tlast = starttime\n   530→\t} else {\n   531→\t\tlast, err = strconv.ParseInt(lastStr, 10, 64)\n   532→\t\tif err != nil {\n   533→\t\t\tcclog.Errorf(\"SqliteArchive CompressLast() > parse error: %v\", err)\n   534→\t\t\tlast = starttime\n   535→\t\t}\n   536→\t}\n   537→\n   538→\tcclog.Infof(\"SqliteArchive CompressLast() - start %d last %d\", starttime, last)\n   539→\n   540→\t// Update timestamp\n   541→\t_, err = sa.db.Exec(`\n   542→\t\tINSERT INTO metadata (key, value) VALUES ('compress_last', ?)\n   543→\t\tON CONFLICT(key) DO UPDATE SET value = excluded.value\n   544→\t`, fmt.Sprintf(\"%d\", starttime))\n   545→\tif err != nil {\n   546→\t\tcclog.Errorf(\"SqliteArchive CompressLast() > update error: %v\", err)\n   547→\t}\n   548→\n   549→\treturn last\n   550→}\n   551→\n   552→type sqliteJobRow struct {\n   553→\tmetaBlob   []byte\n   554→\tdataBlob   []byte\n   555→\tcompressed bool\n   556→}\n   557→\n   558→func (sa *SqliteArchive) Iter(loadMetricData bool) <-chan JobContainer {\n   559→\tch := make(chan JobContainer)\n   560→\n   561→\tgo func() {\n   562→\t\tdefer close(ch)\n   563→\n   564→\t\tconst chunkSize = 1000\n   565→\t\toffset := 0\n   566→\n   567→\t\tvar query string\n   568→\t\tif loadMetricData {\n   569→\t\t\tquery = \"SELECT meta_json, data_json, data_compressed FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n   570→\t\t} else {\n   571→\t\t\tquery = \"SELECT meta_json FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n   572→\t\t}\n   573→\n   574→\t\tnumWorkers := 4\n   575→\t\tjobRows := make(chan sqliteJobRow, numWorkers*2)\n   576→\t\tvar wg sync.WaitGroup\n   577→\n   578→\t\tfor range numWorkers {\n   579→\t\t\twg.Go(func() {\n   580→\t\t\t\tfor row := range jobRows {\n   581→\t\t\t\t\tjob, err := DecodeJobMeta(bytes.NewReader(row.metaBlob))\n   582→\t\t\t\t\tif err != nil {\n   583→\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode meta error: %v\", err)\n   584→\t\t\t\t\t\tcontinue\n   585→\t\t\t\t\t}\n   586→\n   587→\t\t\t\t\tif loadMetricData && row.dataBlob != nil {\n   588→\t\t\t\t\t\tvar reader io.Reader = bytes.NewReader(row.dataBlob)\n   589→\t\t\t\t\t\tif row.compressed {\n   590→\t\t\t\t\t\t\tgzipReader, err := gzip.NewReader(reader)\n   591→\t\t\t\t\t\t\tif err != nil {\n   592→\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > gzip error: %v\", err)\n   593→\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n   594→\t\t\t\t\t\t\t\tcontinue\n   595→\t\t\t\t\t\t\t}\n   596→\t\t\t\t\t\t\tdecompressed, err := io.ReadAll(gzipReader)\n   597→\t\t\t\t\t\t\tgzipReader.Close()\n   598→\t\t\t\t\t\t\tif err != nil {\n   599→\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decompress error: %v\", err)\n   600→\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n   601→\t\t\t\t\t\t\t\tcontinue\n   602→\t\t\t\t\t\t\t}\n   603→\t\t\t\t\t\t\treader = bytes.NewReader(decompressed)\n   604→\t\t\t\t\t\t}\n   605→\n   606→\t\t\t\t\t\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n   607→\t\t\t\t\t\tjobData, err := DecodeJobData(reader, key)\n   608→\t\t\t\t\t\tif err != nil {\n   609→\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode data error: %v\", err)\n   610→\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n   611→\t\t\t\t\t\t} else {\n   612→\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: &jobData}\n   613→\t\t\t\t\t\t}\n   614→\t\t\t\t\t} else {\n   615→\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n   616→\t\t\t\t\t}\n   617→\t\t\t\t}\n   618→\t\t\t})\n   619→\t\t}\n   620→\n   621→\t\tfor {\n   622→\t\t\trows, err := sa.db.Query(query, chunkSize, offset)\n   623→\t\t\tif err != nil {\n   624→\t\t\t\tcclog.Fatalf(\"SqliteArchive Iter() > query error: %s\", err.Error())\n   625→\t\t\t}\n   626→\n   627→\t\t\trowCount := 0\n   628→\t\t\tfor rows.Next() {\n   629→\t\t\t\tvar row sqliteJobRow\n   630→\n   631→\t\t\t\tif loadMetricData {\n   632→\t\t\t\t\tif err := rows.Scan(&row.metaBlob, &row.dataBlob, &row.compressed); err != nil {\n   633→\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n   634→\t\t\t\t\t\tcontinue\n   635→\t\t\t\t\t}\n   636→\t\t\t\t} else {\n   637→\t\t\t\t\tif err := rows.Scan(&row.metaBlob); err != nil {\n   638→\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n   639→\t\t\t\t\t\tcontinue\n   640→\t\t\t\t\t}\n   641→\t\t\t\t\trow.dataBlob = nil\n   642→\t\t\t\t\trow.compressed = false\n   643→\t\t\t\t}\n   644→\n   645→\t\t\t\tjobRows <- row\n   646→\t\t\t\trowCount++\n   647→\t\t\t}\n   648→\t\t\trows.Close()\n   649→\n   650→\t\t\tif rowCount < chunkSize {\n   651→\t\t\t\tbreak\n   652→\t\t\t}\n   653→\n   654→\t\t\toffset += chunkSize\n   655→\t\t}\n   656→\n   657→\t\tclose(jobRows)\n   658→\t\twg.Wait()\n   659→\t}()\n   660→\n   661→\treturn ch\n   662→}\n   663→\n   664→func (sa *SqliteArchive) StoreClusterCfg(name string, config *schema.Cluster) error {\n   665→\tvar configBuf bytes.Buffer\n   666→\tif err := EncodeCluster(&configBuf, config); err != nil {\n   667→\t\tcclog.Error(\"SqliteArchive StoreClusterCfg() > encoding error\")\n   668→\t\treturn err\n   669→\t}\n   670→\n   671→\tnow := time.Now().Unix()\n   672→\t_, err := sa.db.Exec(`\n   673→\t\tINSERT INTO clusters (name, config_json, updated_at)\n   674→\t\tVALUES (?, ?, ?)\n   675→\t\tON CONFLICT(name) DO UPDATE SET\n   676→\t\t\tconfig_json = excluded.config_json,\n   677→\t\t\tupdated_at = excluded.updated_at\n   678→\t`, name, configBuf.Bytes(), now)\n   679→\tif err != nil {\n   680→\t\tcclog.Errorf(\"SqliteArchive StoreClusterCfg() > insert error: %v\", err)\n   681→\t\treturn err\n   682→\t}\n   683→\n   684→\t// Update clusters list if new\n   685→\tfound := slices.Contains(sa.clusters, name)\n   686→\tif !found {\n   687→\t\tsa.clusters = append(sa.clusters, name)\n   688→\t}\n   689→\n   690→\treturn nil\n   691→}\n   692→"}]},"uuid":"d78c0aa3-68bb-42dc-8267-533056b05e92","timestamp":"2026-03-16T10:12:40.468Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/archive/sqliteBackend.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage archive\n\nimport (\n\t\"bytes\"\n\t\"compress/gzip\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"slices\"\n\t\"strconv\"\n\t\"sync\"\n\t\"text/tabwriter\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t_ \"github.com/mattn/go-sqlite3\"\n)\n\n// SqliteArchiveConfig holds the configuration for the SQLite archive backend.\ntype SqliteArchiveConfig struct {\n\tDBPath string `json:\"db-path\"` // Path to SQLite database file\n}\n\n// SqliteArchive implements ArchiveBackend using a SQLite database with BLOB storage.\n// Job metadata and data are stored as JSON BLOBs with indexes for fast queries.\n//\n// Uses WAL (Write-Ahead Logging) mode for better concurrency and a 64MB cache.\ntype SqliteArchive struct {\n\tdb       *sql.DB  // SQLite database connection\n\tclusters []string // List of discovered cluster names\n}\n\n// sqliteSchema defines the database schema for SQLite archive backend.\n// Jobs table: stores job metadata and data as BLOBs with compression flag\n// Clusters table: stores cluster configurations\n// Metadata table: stores version and other key-value pairs\nconst sqliteSchema = `\nCREATE TABLE IF NOT EXISTS jobs (\n    id INTEGER PRIMARY KEY AUTOINCREMENT,\n    job_id INTEGER NOT NULL,\n    cluster TEXT NOT NULL,\n    start_time INTEGER NOT NULL,\n    meta_json BLOB NOT NULL,\n    data_json BLOB,\n    data_compressed BOOLEAN DEFAULT 0,\n    created_at INTEGER NOT NULL,\n    updated_at INTEGER NOT NULL,\n    UNIQUE(job_id, cluster, start_time)\n);\n\nCREATE INDEX IF NOT EXISTS idx_jobs_cluster ON jobs(cluster);\nCREATE INDEX IF NOT EXISTS idx_jobs_start_time ON jobs(start_time);\nCREATE INDEX IF NOT EXISTS idx_jobs_order ON jobs(cluster, start_time);\nCREATE INDEX IF NOT EXISTS idx_jobs_lookup ON jobs(cluster, job_id, start_time);\n\nCREATE TABLE IF NOT EXISTS clusters (\n    name TEXT PRIMARY KEY,\n    config_json BLOB NOT NULL,\n    updated_at INTEGER NOT NULL\n);\n\nCREATE TABLE IF NOT EXISTS metadata (\n    key TEXT PRIMARY KEY,\n    value TEXT NOT NULL\n);\n`\n\nfunc (sa *SqliteArchive) Init(rawConfig json.RawMessage) (uint64, error) {\n\tvar cfg SqliteArchiveConfig\n\tif err := json.Unmarshal(rawConfig, &cfg); err != nil {\n\t\tcclog.Warnf(\"SqliteArchive Init() > Unmarshal error: %#v\", err)\n\t\treturn 0, err\n\t}\n\n\tif cfg.DBPath == \"\" {\n\t\terr := fmt.Errorf(\"SqliteArchive Init(): empty database path\")\n\t\tcclog.Errorf(\"SqliteArchive Init() > config error: %v\", err)\n\t\treturn 0, err\n\t}\n\n\t// Open SQLite database\n\tdb, err := sql.Open(\"sqlite3\", cfg.DBPath)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to open database: %v\", err)\n\t\treturn 0, err\n\t}\n\tsa.db = db\n\n\t// Set pragmas for better performance\n\tpragmas := []string{\n\t\t\"PRAGMA journal_mode=WAL\",\n\t\t\"PRAGMA synchronous=NORMAL\",\n\t\t\"PRAGMA cache_size=-64000\", // 64MB cache\n\t\t\"PRAGMA busy_timeout=5000\",\n\t}\n\tfor _, pragma := range pragmas {\n\t\tif _, err := sa.db.Exec(pragma); err != nil {\n\t\t\tcclog.Warnf(\"SqliteArchive Init() > pragma failed: %v\", err)\n\t\t}\n\t}\n\n\t// Create schema\n\tif _, err := sa.db.Exec(sqliteSchema); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > schema creation failed: %v\", err)\n\t\treturn 0, err\n\t}\n\n\t// Check/set version\n\tvar versionStr string\n\terr = sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'version'\").Scan(&versionStr)\n\tif err == sql.ErrNoRows {\n\t\t// First time initialization, set version\n\t\t_, err = sa.db.Exec(\"INSERT INTO metadata (key, value) VALUES ('version', ?)\", fmt.Sprintf(\"%d\", Version))\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to set version: %v\", err)\n\t\t\treturn 0, err\n\t\t}\n\t\tversionStr = fmt.Sprintf(\"%d\", Version)\n\t} else if err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to read version: %v\", err)\n\t\treturn 0, err\n\t}\n\n\tversion, err := strconv.ParseUint(versionStr, 10, 64)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > version parse error: %v\", err)\n\t\treturn 0, err\n\t}\n\n\tif version != Version {\n\t\treturn version, fmt.Errorf(\"unsupported version %d, need %d\", version, Version)\n\t}\n\n\t// Discover clusters\n\tsa.clusters = []string{}\n\trows, err := sa.db.Query(\"SELECT DISTINCT cluster FROM jobs ORDER BY cluster\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to query clusters: %v\", err)\n\t\treturn 0, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar cluster string\n\t\tif err := rows.Scan(&cluster); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to scan cluster: %v\", err)\n\t\t\tcontinue\n\t\t}\n\t\tsa.clusters = append(sa.clusters, cluster)\n\t}\n\n\tcclog.Infof(\"SqliteArchive initialized with database '%s', found %d clusters\", cfg.DBPath, len(sa.clusters))\n\treturn version, nil\n}\n\nfunc (sa *SqliteArchive) Info() {\n\tfmt.Printf(\"SQLite Job archive database\\n\")\n\n\tci := make(map[string]*clusterInfo)\n\n\trows, err := sa.db.Query(`\n\t\tSELECT cluster, COUNT(*), MIN(start_time), MAX(start_time),\n\t\t       SUM(LENGTH(meta_json) + COALESCE(LENGTH(data_json), 0))\n\t\tFROM jobs\n\t\tGROUP BY cluster\n\t`)\n\tif err != nil {\n\t\tcclog.Fatalf(\"SqliteArchive Info() > query failed: %s\", err.Error())\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar cluster string\n\t\tvar numJobs int\n\t\tvar dateFirst, dateLast int64\n\t\tvar diskSize int64\n\n\t\tif err := rows.Scan(&cluster, &numJobs, &dateFirst, &dateLast, &diskSize); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Info() > scan failed: %v\", err)\n\t\t\tcontinue\n\t\t}\n\n\t\tci[cluster] = &clusterInfo{\n\t\t\tnumJobs:   numJobs,\n\t\t\tdateFirst: dateFirst,\n\t\t\tdateLast:  dateLast,\n\t\t\tdiskSize:  float64(diskSize) / (1024 * 1024), // Convert to MB\n\t\t}\n\t}\n\n\tcit := clusterInfo{dateFirst: time.Now().Unix()}\n\tw := tabwriter.NewWriter(os.Stdout, 0, 0, 2, ' ', tabwriter.Debug)\n\tfmt.Fprintln(w, \"cluster\\t#jobs\\tfrom\\tto\\tsize (MB)\")\n\tfor cluster, clusterInfo := range ci {\n\t\tfmt.Fprintf(w, \"%s\\t%d\\t%s\\t%s\\t%.2f\\n\", cluster,\n\t\t\tclusterInfo.numJobs,\n\t\t\ttime.Unix(clusterInfo.dateFirst, 0),\n\t\t\ttime.Unix(clusterInfo.dateLast, 0),\n\t\t\tclusterInfo.diskSize)\n\n\t\tcit.numJobs += clusterInfo.numJobs\n\t\tcit.dateFirst = util.Min(cit.dateFirst, clusterInfo.dateFirst)\n\t\tcit.dateLast = util.Max(cit.dateLast, clusterInfo.dateLast)\n\t\tcit.diskSize += clusterInfo.diskSize\n\t}\n\n\tfmt.Fprintf(w, \"TOTAL\\t%d\\t%s\\t%s\\t%.2f\\n\",\n\t\tcit.numJobs, time.Unix(cit.dateFirst, 0), time.Unix(cit.dateLast, 0), cit.diskSize)\n\tw.Flush()\n}\n\nfunc (sa *SqliteArchive) Exists(job *schema.Job) bool {\n\tvar count int\n\terr := sa.db.QueryRow(\"SELECT COUNT(*) FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&count)\n\treturn err == nil && count > 0\n}\n\nfunc (sa *SqliteArchive) LoadJobMeta(job *schema.Job) (*schema.Job, error) {\n\tvar metaBlob []byte\n\terr := sa.db.QueryRow(\"SELECT meta_json FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&metaBlob)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobMeta() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif config.Keys.Validate {\n\t\tif err := schema.Validate(schema.Meta, bytes.NewReader(metaBlob)); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"validate job meta: %v\", err)\n\t\t}\n\t}\n\n\treturn DecodeJobMeta(bytes.NewReader(metaBlob))\n}\n\nfunc (sa *SqliteArchive) LoadJobData(job *schema.Job) (schema.JobData, error) {\n\tvar dataBlob []byte\n\tvar compressed bool\n\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\n\tvar reader io.Reader = bytes.NewReader(dataBlob)\n\tif compressed {\n\t\tgzipReader, err := gzip.NewReader(reader)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > gzip error: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\tdefer gzipReader.Close()\n\t\treader = gzipReader\n\t}\n\n\tif config.Keys.Validate {\n\t\tdata, _ := io.ReadAll(reader)\n\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n\t\t\treturn schema.JobData{}, fmt.Errorf(\"validate job data: %v\", err)\n\t\t}\n\t\treturn DecodeJobData(bytes.NewReader(data), key)\n\t}\n\n\treturn DecodeJobData(reader, key)\n}\n\nfunc (sa *SqliteArchive) LoadJobStats(job *schema.Job) (schema.ScopedJobStats, error) {\n\tvar dataBlob []byte\n\tvar compressed bool\n\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\n\tvar reader io.Reader = bytes.NewReader(dataBlob)\n\tif compressed {\n\t\tgzipReader, err := gzip.NewReader(reader)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > gzip error: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\tdefer gzipReader.Close()\n\t\treader = gzipReader\n\t}\n\n\tif config.Keys.Validate {\n\t\tdata, _ := io.ReadAll(reader)\n\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"validate job data: %v\", err)\n\t\t}\n\t\treturn DecodeJobStats(bytes.NewReader(data), key)\n\t}\n\n\treturn DecodeJobStats(reader, key)\n}\n\nfunc (sa *SqliteArchive) LoadClusterCfg(name string) (*schema.Cluster, error) {\n\tvar configBlob []byte\n\terr := sa.db.QueryRow(\"SELECT config_json FROM clusters WHERE name = ?\", name).Scan(&configBlob)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadClusterCfg() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif config.Keys.Validate {\n\t\tif err := schema.Validate(schema.ClusterCfg, bytes.NewReader(configBlob)); err != nil {\n\t\t\tcclog.Warnf(\"Validate cluster config: %v\\n\", err)\n\t\t\treturn &schema.Cluster{}, fmt.Errorf(\"validate cluster config: %v\", err)\n\t\t}\n\t}\n\n\treturn DecodeCluster(bytes.NewReader(configBlob))\n}\n\nfunc (sa *SqliteArchive) StoreJobMeta(job *schema.Job) error {\n\tvar metaBuf bytes.Buffer\n\tif err := EncodeJobMeta(&metaBuf, job); err != nil {\n\t\tcclog.Error(\"SqliteArchive StoreJobMeta() > encoding error\")\n\t\treturn err\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, created_at, updated_at)\n\t\tVALUES (?, ?, ?, ?, ?, ?)\n\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n\t\t\tmeta_json = excluded.meta_json,\n\t\t\tupdated_at = excluded.updated_at\n\t`, job.JobID, job.Cluster, job.StartTime, metaBuf.Bytes(), now, now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive StoreJobMeta() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (sa *SqliteArchive) ImportJob(jobMeta *schema.Job, jobData *schema.JobData) error {\n\tvar metaBuf, dataBuf bytes.Buffer\n\tif err := EncodeJobMeta(&metaBuf, jobMeta); err != nil {\n\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding meta error\")\n\t\treturn err\n\t}\n\tif err := EncodeJobData(&dataBuf, jobData); err != nil {\n\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding data error\")\n\t\treturn err\n\t}\n\n\tvar dataBytes []byte\n\tvar compressed bool\n\n\tif dataBuf.Len() > 2000 {\n\t\tvar compressedBuf bytes.Buffer\n\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n\t\tif _, err := gzipWriter.Write(dataBuf.Bytes()); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip write error: %v\", err)\n\t\t\treturn err\n\t\t}\n\t\tif err := gzipWriter.Close(); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip close error: %v\", err)\n\t\t\treturn err\n\t\t}\n\t\tdataBytes = compressedBuf.Bytes()\n\t\tcompressed = true\n\t} else {\n\t\tdataBytes = dataBuf.Bytes()\n\t\tcompressed = false\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, data_json, data_compressed, created_at, updated_at)\n\t\tVALUES (?, ?, ?, ?, ?, ?, ?, ?)\n\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n\t\t\tmeta_json = excluded.meta_json,\n\t\t\tdata_json = excluded.data_json,\n\t\t\tdata_compressed = excluded.data_compressed,\n\t\t\tupdated_at = excluded.updated_at\n\t`, jobMeta.JobID, jobMeta.Cluster, jobMeta.StartTime, metaBuf.Bytes(), dataBytes, compressed, now, now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive ImportJob() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (sa *SqliteArchive) GetClusters() []string {\n\treturn sa.clusters\n}\n\nfunc (sa *SqliteArchive) CleanUp(jobs []*schema.Job) {\n\tstart := time.Now()\n\tcount := 0\n\n\ttx, err := sa.db.Begin()\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > transaction error: %v\", err)\n\t\treturn\n\t}\n\tdefer tx.Rollback()\n\n\tstmt, err := tx.Prepare(\"DELETE FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > prepare error: %v\", err)\n\t\treturn\n\t}\n\tdefer stmt.Close()\n\n\tfor _, job := range jobs {\n\t\tif job == nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() error: job is nil\")\n\t\t\tcontinue\n\t\t}\n\n\t\tif _, err := stmt.Exec(job.JobID, job.Cluster, job.StartTime); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() > delete error: %v\", err)\n\t\t} else {\n\t\t\tcount++\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > commit error: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Retention Service - Remove %d jobs from SQLite in %s\", count, time.Since(start))\n}\n\nfunc (sa *SqliteArchive) Move(jobs []*schema.Job, targetPath string) {\n\t// For SQLite, \"move\" means updating the cluster field or similar\n\t// This is interpretation-dependent; for now we'll just log\n\tcclog.Warnf(\"SqliteArchive Move() is not fully implemented - moves within database not applicable\")\n}\n\nfunc (sa *SqliteArchive) Clean(before int64, after int64) {\n\tif after == 0 {\n\t\tafter = math.MaxInt64\n\t}\n\n\tresult, err := sa.db.Exec(\"DELETE FROM jobs WHERE start_time < ? OR start_time > ?\", before, after)\n\tif err != nil {\n\t\tcclog.Fatalf(\"SqliteArchive Clean() > delete error: %s\", err.Error())\n\t}\n\n\trowsAffected, _ := result.RowsAffected()\n\tcclog.Infof(\"SqliteArchive Clean() removed %d jobs\", rowsAffected)\n}\n\nfunc (sa *SqliteArchive) Compress(jobs []*schema.Job) {\n\tvar cnt int\n\tstart := time.Now()\n\n\ttx, err := sa.db.Begin()\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > transaction error: %v\", err)\n\t\treturn\n\t}\n\tdefer tx.Rollback()\n\n\tstmt, err := tx.Prepare(\"UPDATE jobs SET data_json = ?, data_compressed = 1 WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > prepare error: %v\", err)\n\t\treturn\n\t}\n\tdefer stmt.Close()\n\n\tfor _, job := range jobs {\n\t\tvar dataBlob []byte\n\t\tvar compressed bool\n\t\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\t\tif err != nil || compressed || len(dataBlob) < 2000 {\n\t\t\tcontinue // Skip if error, already compressed, or too small\n\t\t}\n\n\t\t// Compress the data\n\t\tvar compressedBuf bytes.Buffer\n\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n\t\tif _, err := gzipWriter.Write(dataBlob); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Compress() > gzip error: %v\", err)\n\t\t\tgzipWriter.Close()\n\t\t\tcontinue\n\t\t}\n\t\tgzipWriter.Close()\n\n\t\tif _, err := stmt.Exec(compressedBuf.Bytes(), job.JobID, job.Cluster, job.StartTime); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Compress() > update error: %v\", err)\n\t\t} else {\n\t\t\tcnt++\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > commit error: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Compression Service - %d jobs in SQLite took %s\", cnt, time.Since(start))\n}\n\nfunc (sa *SqliteArchive) CompressLast(starttime int64) int64 {\n\tvar lastStr string\n\terr := sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'compress_last'\").Scan(&lastStr)\n\n\tvar last int64\n\tif err == sql.ErrNoRows {\n\t\tlast = starttime\n\t} else if err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CompressLast() > query error: %v\", err)\n\t\tlast = starttime\n\t} else {\n\t\tlast, err = strconv.ParseInt(lastStr, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CompressLast() > parse error: %v\", err)\n\t\t\tlast = starttime\n\t\t}\n\t}\n\n\tcclog.Infof(\"SqliteArchive CompressLast() - start %d last %d\", starttime, last)\n\n\t// Update timestamp\n\t_, err = sa.db.Exec(`\n\t\tINSERT INTO metadata (key, value) VALUES ('compress_last', ?)\n\t\tON CONFLICT(key) DO UPDATE SET value = excluded.value\n\t`, fmt.Sprintf(\"%d\", starttime))\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CompressLast() > update error: %v\", err)\n\t}\n\n\treturn last\n}\n\ntype sqliteJobRow struct {\n\tmetaBlob   []byte\n\tdataBlob   []byte\n\tcompressed bool\n}\n\nfunc (sa *SqliteArchive) Iter(loadMetricData bool) <-chan JobContainer {\n\tch := make(chan JobContainer)\n\n\tgo func() {\n\t\tdefer close(ch)\n\n\t\tconst chunkSize = 1000\n\t\toffset := 0\n\n\t\tvar query string\n\t\tif loadMetricData {\n\t\t\tquery = \"SELECT meta_json, data_json, data_compressed FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n\t\t} else {\n\t\t\tquery = \"SELECT meta_json FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n\t\t}\n\n\t\tnumWorkers := 4\n\t\tjobRows := make(chan sqliteJobRow, numWorkers*2)\n\t\tvar wg sync.WaitGroup\n\n\t\tfor range numWorkers {\n\t\t\twg.Go(func() {\n\t\t\t\tfor row := range jobRows {\n\t\t\t\t\tjob, err := DecodeJobMeta(bytes.NewReader(row.metaBlob))\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode meta error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\n\t\t\t\t\tif loadMetricData && row.dataBlob != nil {\n\t\t\t\t\t\tvar reader io.Reader = bytes.NewReader(row.dataBlob)\n\t\t\t\t\t\tif row.compressed {\n\t\t\t\t\t\t\tgzipReader, err := gzip.NewReader(reader)\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > gzip error: %v\", err)\n\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tdecompressed, err := io.ReadAll(gzipReader)\n\t\t\t\t\t\t\tgzipReader.Close()\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decompress error: %v\", err)\n\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\treader = bytes.NewReader(decompressed)\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\t\t\t\t\t\tjobData, err := DecodeJobData(reader, key)\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode data error: %v\", err)\n\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: &jobData}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else {\n\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\n\t\tfor {\n\t\t\trows, err := sa.db.Query(query, chunkSize, offset)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Fatalf(\"SqliteArchive Iter() > query error: %s\", err.Error())\n\t\t\t}\n\n\t\t\trowCount := 0\n\t\t\tfor rows.Next() {\n\t\t\t\tvar row sqliteJobRow\n\n\t\t\t\tif loadMetricData {\n\t\t\t\t\tif err := rows.Scan(&row.metaBlob, &row.dataBlob, &row.compressed); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif err := rows.Scan(&row.metaBlob); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\trow.dataBlob = nil\n\t\t\t\t\trow.compressed = false\n\t\t\t\t}\n\n\t\t\t\tjobRows <- row\n\t\t\t\trowCount++\n\t\t\t}\n\t\t\trows.Close()\n\n\t\t\tif rowCount < chunkSize {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\toffset += chunkSize\n\t\t}\n\n\t\tclose(jobRows)\n\t\twg.Wait()\n\t}()\n\n\treturn ch\n}\n\nfunc (sa *SqliteArchive) StoreClusterCfg(name string, config *schema.Cluster) error {\n\tvar configBuf bytes.Buffer\n\tif err := EncodeCluster(&configBuf, config); err != nil {\n\t\tcclog.Error(\"SqliteArchive StoreClusterCfg() > encoding error\")\n\t\treturn err\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO clusters (name, config_json, updated_at)\n\t\tVALUES (?, ?, ?)\n\t\tON CONFLICT(name) DO UPDATE SET\n\t\t\tconfig_json = excluded.config_json,\n\t\t\tupdated_at = excluded.updated_at\n\t`, name, configBuf.Bytes(), now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive StoreClusterCfg() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\t// Update clusters list if new\n\tfound := slices.Contains(sa.clusters, name)\n\tif !found {\n\t\tsa.clusters = append(sa.clusters, name)\n\t}\n\n\treturn nil\n}\n","numLines":692,"startLine":1,"totalLines":692}},"sourceToolAssistantUUID":"641c9a76-91d8-4156-a19d-7ccb6d93cf69","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"d8f1148f-83ce-49d1-8a7f-4e6531306bf4","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RUChJr4277fRqYrmyucysh","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"database/sql\"\n    11→\t\"encoding/json\"\n    12→\t\"fmt\"\n    13→\t\"slices\"\n    14→\t\"sort\"\n    15→\t\"strings\"\n    16→\t\"sync\"\n    17→\t\"time\"\n    18→\n    19→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    20→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n    23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    24→\tsq \"github.com/Masterminds/squirrel\"\n    25→\t\"github.com/jmoiron/sqlx\"\n    26→)\n    27→\n    28→var (\n    29→\tnodeRepoOnce     sync.Once\n    30→\tnodeRepoInstance *NodeRepository\n    31→)\n    32→\n    33→type NodeRepository struct {\n    34→\tDB        *sqlx.DB\n    35→\tstmtCache *sq.StmtCache\n    36→\tcache     *lrucache.Cache\n    37→\tdriver    string\n    38→}\n    39→\n    40→func GetNodeRepository() *NodeRepository {\n    41→\tnodeRepoOnce.Do(func() {\n    42→\t\tdb := GetConnection()\n    43→\n    44→\t\tnodeRepoInstance = &NodeRepository{\n    45→\t\t\tDB:     db.DB,\n    46→\t\t\tdriver: db.Driver,\n    47→\n    48→\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n    49→\t\t\tcache:     lrucache.New(repoConfig.CacheSize),\n    50→\t\t}\n    51→\t})\n    52→\treturn nodeRepoInstance\n    53→}\n    54→\n    55→// latestStateCondition returns a squirrel expression that restricts node_state\n    56→// rows to the latest per node_id using a correlated subquery.\n    57→// Requires the query to join node and node_state tables.\n    58→func latestStateCondition() sq.Sqlizer {\n    59→\treturn sq.Expr(\n    60→\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n    61→\t)\n    62→}\n    63→\n    64→// applyNodeFilters applies common NodeFilter conditions to a query that joins\n    65→// the node and node_state tables with latestStateCondition.\n    66→func applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n    67→\tfor _, f := range filters {\n    68→\t\tif f.Cluster != nil {\n    69→\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n    70→\t\t}\n    71→\t\tif f.SubCluster != nil {\n    72→\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n    73→\t\t}\n    74→\t\tif f.Hostname != nil {\n    75→\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n    76→\t\t}\n    77→\t\tif f.SchedulerState != nil {\n    78→\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n    79→\t\t}\n    80→\t\tif f.HealthState != nil {\n    81→\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n    82→\t\t}\n    83→\t}\n    84→\treturn query\n    85→}\n    86→\n    87→func (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n    88→\tstart := time.Now()\n    89→\n    90→\tRawMetaData := make([]byte, 0)\n    91→\n    92→\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n    93→\t\tWhere(\"node.hostname = ?\", hostname).\n    94→\t\tWhere(\"node.cluster = ?\", cluster).\n    95→\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n    96→\t\tcclog.Warn(\"Error while scanning for node metadata\")\n    97→\t\treturn nil, err\n    98→\t}\n    99→\n   100→\tif len(RawMetaData) == 0 {\n   101→\t\treturn nil, nil\n   102→\t}\n   103→\n   104→\tMetaData := make(map[string]string)\n   105→\n   106→\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n   107→\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n   108→\t\treturn nil, err\n   109→\t}\n   110→\n   111→\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n   112→\treturn MetaData, nil\n   113→}\n   114→\n   115→func (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n   116→\tnode := &schema.Node{}\n   117→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   118→\t\t\"node_state.node_state\", \"node_state.health_state\").\n   119→\t\tFrom(\"node\").\n   120→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   121→\t\tWhere(latestStateCondition()).\n   122→\t\tWhere(\"node.hostname = ?\", hostname).\n   123→\t\tWhere(\"node.cluster = ?\", cluster).\n   124→\t\tRunWith(r.DB).\n   125→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n   126→\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n   127→\t\treturn nil, err\n   128→\t}\n   129→\n   130→\tif withMeta {\n   131→\t\tvar err error\n   132→\t\tvar meta map[string]string\n   133→\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n   134→\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n   135→\t\t\treturn nil, err\n   136→\t\t}\n   137→\t\tnode.MetaData = meta\n   138→\t}\n   139→\n   140→\treturn node, nil\n   141→}\n   142→\n   143→func (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n   144→\tnode := &schema.Node{}\n   145→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   146→\t\t\"node_state.node_state\", \"node_state.health_state\").\n   147→\t\tFrom(\"node\").\n   148→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   149→\t\tWhere(latestStateCondition()).\n   150→\t\tWhere(\"node.id = ?\", id).\n   151→\t\tRunWith(r.DB).\n   152→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n   153→\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n   154→\t\treturn nil, err\n   155→\t}\n   156→\n   157→\tif withMeta {\n   158→\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n   159→\t\tif metaErr != nil {\n   160→\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n   161→\t\t\treturn nil, metaErr\n   162→\t\t}\n   163→\t\tnode.MetaData = meta\n   164→\t}\n   165→\n   166→\treturn node, nil\n   167→}\n   168→\n   169→// const NamedNodeInsert string = `\n   170→// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n   171→//\n   172→//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n   173→//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n   174→//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n   175→\n   176→const NamedNodeInsert string = `\n   177→INSERT INTO node (hostname, cluster, subcluster)\n   178→\tVALUES (:hostname, :cluster, :subcluster);`\n   179→\n   180→// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n   181→// from a nodestate update from the job scheduler.\n   182→func (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n   183→\tvar err error\n   184→\n   185→\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n   186→\tif err != nil {\n   187→\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n   188→\t\treturn 0, err\n   189→\t}\n   190→\tnode.ID, err = res.LastInsertId()\n   191→\tif err != nil {\n   192→\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n   193→\t\treturn 0, err\n   194→\t}\n   195→\n   196→\treturn node.ID, nil\n   197→}\n   198→\n   199→const NamedNodeStateInsert string = `\n   200→INSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n   201→\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n   202→\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n   203→\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n   204→\n   205→// TODO: Add real Monitoring Health State\n   206→\n   207→// UpdateNodeState is called from the Node REST API to add a row in the node state table\n   208→func (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n   209→\tvar id int64\n   210→\n   211→\tif err := sq.Select(\"id\").From(\"node\").\n   212→\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n   213→\t\tQueryRow().Scan(&id); err != nil {\n   214→\t\tif err == sql.ErrNoRows {\n   215→\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n   216→\t\t\tif err != nil {\n   217→\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n   218→\t\t\t\treturn err\n   219→\t\t\t}\n   220→\t\t\tnode := schema.NodeDB{\n   221→\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n   222→\t\t\t}\n   223→\t\t\tid, err = r.AddNode(&node)\n   224→\t\t\tif err != nil {\n   225→\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n   226→\t\t\t\treturn err\n   227→\t\t\t}\n   228→\n   229→\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n   230→\t\t} else {\n   231→\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n   232→\t\t\treturn err\n   233→\t\t}\n   234→\t}\n   235→\n   236→\tnodeState.NodeID = id\n   237→\n   238→\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n   239→\tif err != nil {\n   240→\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n   241→\t\treturn err\n   242→\t}\n   243→\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n   244→\treturn nil\n   245→}\n   246→\n   247→// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n   248→// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n   249→// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n   250→// \t\treturn err\n   251→// \t}\n   252→//\n   253→// \treturn nil\n   254→// }\n   255→\n   256→// NodeStateWithNode combines a node state row with denormalized node info.\n   257→type NodeStateWithNode struct {\n   258→\tID              int64  `db:\"id\"`\n   259→\tTimeStamp       int64  `db:\"time_stamp\"`\n   260→\tNodeState       string `db:\"node_state\"`\n   261→\tHealthState     string `db:\"health_state\"`\n   262→\tHealthMetrics   string `db:\"health_metrics\"`\n   263→\tCpusAllocated   int    `db:\"cpus_allocated\"`\n   264→\tMemoryAllocated int64  `db:\"memory_allocated\"`\n   265→\tGpusAllocated   int    `db:\"gpus_allocated\"`\n   266→\tJobsRunning     int    `db:\"jobs_running\"`\n   267→\tHostname        string `db:\"hostname\"`\n   268→\tCluster         string `db:\"cluster\"`\n   269→\tSubCluster      string `db:\"subcluster\"`\n   270→}\n   271→\n   272→// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n   273→// joined with node info for denormalized archiving.\n   274→func (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n   275→\trows, err := sq.Select(\n   276→\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n   277→\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n   278→\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n   279→\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n   280→\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   281→\t).\n   282→\t\tFrom(\"node_state\").\n   283→\t\tJoin(\"node ON node_state.node_id = node.id\").\n   284→\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n   285→\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n   286→\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n   287→\t\tRunWith(r.DB).Query()\n   288→\tif err != nil {\n   289→\t\treturn nil, err\n   290→\t}\n   291→\tdefer rows.Close()\n   292→\n   293→\tvar result []NodeStateWithNode\n   294→\tfor rows.Next() {\n   295→\t\tvar ns NodeStateWithNode\n   296→\t\tvar healthMetrics sql.NullString\n   297→\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n   298→\t\t\t&ns.HealthState, &healthMetrics,\n   299→\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n   300→\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n   301→\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n   302→\t\t\treturn nil, err\n   303→\t\t}\n   304→\t\tns.HealthMetrics = healthMetrics.String\n   305→\t\tresult = append(result, ns)\n   306→\t}\n   307→\treturn result, nil\n   308→}\n   309→\n   310→// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n   311→// but always preserves the row with the latest timestamp per node_id.\n   312→func (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n   313→\tres, err := r.DB.Exec(\n   314→\t\t`DELETE FROM node_state WHERE time_stamp < ?\n   315→\t\t AND id NOT IN (\n   316→\t\t   SELECT id FROM node_state ns2\n   317→\t\t   WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n   318→\t\t )`,\n   319→\t\tcutoff,\n   320→\t)\n   321→\tif err != nil {\n   322→\t\treturn 0, err\n   323→\t}\n   324→\treturn res.RowsAffected()\n   325→}\n   326→\n   327→func (r *NodeRepository) DeleteNode(id int64) error {\n   328→\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n   329→\tif err != nil {\n   330→\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n   331→\t\treturn err\n   332→\t}\n   333→\tcclog.Infof(\"deleted node '%d' from DB\", id)\n   334→\treturn nil\n   335→}\n   336→\n   337→// QueryNodes returns a list of nodes based on a node filter. It always operates\n   338→// on the last state (largest timestamp).\n   339→func (r *NodeRepository) QueryNodes(\n   340→\tctx context.Context,\n   341→\tfilters []*model.NodeFilter,\n   342→\tpage *model.PageRequest,\n   343→\torder *model.OrderByInput, // Currently unused!\n   344→) ([]*schema.Node, error) {\n   345→\tquery, qerr := AccessCheck(ctx,\n   346→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   347→\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n   348→\t\t\tFrom(\"node\").\n   349→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   350→\t\t\tWhere(latestStateCondition()))\n   351→\tif qerr != nil {\n   352→\t\treturn nil, qerr\n   353→\t}\n   354→\n   355→\tquery = applyNodeFilters(query, filters)\n   356→\tquery = query.OrderBy(\"node.hostname ASC\")\n   357→\n   358→\tif page != nil && page.ItemsPerPage != -1 {\n   359→\t\tlimit := uint64(page.ItemsPerPage)\n   360→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n   361→\t}\n   362→\n   363→\trows, err := query.RunWith(r.stmtCache).Query()\n   364→\tif err != nil {\n   365→\t\tqueryString, queryVars, _ := query.ToSql()\n   366→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   367→\t\treturn nil, err\n   368→\t}\n   369→\tdefer rows.Close()\n   370→\n   371→\tnodes := make([]*schema.Node, 0)\n   372→\tfor rows.Next() {\n   373→\t\tnode := schema.Node{}\n   374→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n   375→\t\t\t&node.NodeState, &node.HealthState); err != nil {\n   376→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n   377→\t\t\treturn nil, err\n   378→\t\t}\n   379→\t\tnodes = append(nodes, &node)\n   380→\t}\n   381→\n   382→\tif err := rows.Err(); err != nil {\n   383→\t\treturn nil, err\n   384→\t}\n   385→\n   386→\treturn nodes, nil\n   387→}\n   388→\n   389→// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n   390→// on the last state (largest timestamp). It includes both (!) optional JSON column data\n   391→func (r *NodeRepository) QueryNodesWithMeta(\n   392→\tctx context.Context,\n   393→\tfilters []*model.NodeFilter,\n   394→\tpage *model.PageRequest,\n   395→\torder *model.OrderByInput, // Currently unused!\n   396→) ([]*schema.Node, error) {\n   397→\tquery, qerr := AccessCheck(ctx,\n   398→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   399→\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n   400→\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n   401→\t\t\tFrom(\"node\").\n   402→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   403→\t\t\tWhere(latestStateCondition()))\n   404→\tif qerr != nil {\n   405→\t\treturn nil, qerr\n   406→\t}\n   407→\n   408→\tquery = applyNodeFilters(query, filters)\n   409→\tquery = query.OrderBy(\"node.hostname ASC\")\n   410→\n   411→\tif page != nil && page.ItemsPerPage != -1 {\n   412→\t\tlimit := uint64(page.ItemsPerPage)\n   413→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n   414→\t}\n   415→\n   416→\trows, err := query.RunWith(r.stmtCache).Query()\n   417→\tif err != nil {\n   418→\t\tqueryString, queryVars, _ := query.ToSql()\n   419→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   420→\t\treturn nil, err\n   421→\t}\n   422→\tdefer rows.Close()\n   423→\n   424→\tnodes := make([]*schema.Node, 0)\n   425→\tfor rows.Next() {\n   426→\t\tnode := schema.Node{}\n   427→\t\tRawMetaData := make([]byte, 0)\n   428→\t\tRawMetricHealth := make([]byte, 0)\n   429→\n   430→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n   431→\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n   432→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n   433→\t\t\treturn nil, err\n   434→\t\t}\n   435→\n   436→\t\tif len(RawMetaData) == 0 {\n   437→\t\t\tnode.MetaData = nil\n   438→\t\t} else {\n   439→\t\t\tmetaData := make(map[string]string)\n   440→\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n   441→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n   442→\t\t\t\treturn nil, err\n   443→\t\t\t}\n   444→\t\t\tnode.MetaData = metaData\n   445→\t\t}\n   446→\n   447→\t\tif len(RawMetricHealth) == 0 {\n   448→\t\t\tnode.HealthData = nil\n   449→\t\t} else {\n   450→\t\t\thealthData := make(map[string][]string)\n   451→\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n   452→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n   453→\t\t\t\treturn nil, err\n   454→\t\t\t}\n   455→\t\t\tnode.HealthData = healthData\n   456→\t\t}\n   457→\n   458→\t\tnodes = append(nodes, &node)\n   459→\t}\n   460→\n   461→\tif err := rows.Err(); err != nil {\n   462→\t\treturn nil, err\n   463→\t}\n   464→\n   465→\treturn nodes, nil\n   466→}\n   467→\n   468→// CountNodes returns the total matched nodes based on a node filter. It always operates\n   469→// on the last state (largest timestamp) per node.\n   470→func (r *NodeRepository) CountNodes(\n   471→\tctx context.Context,\n   472→\tfilters []*model.NodeFilter,\n   473→) (int, error) {\n   474→\tquery, qerr := AccessCheck(ctx,\n   475→\t\tsq.Select(\"COUNT(*)\").\n   476→\t\t\tFrom(\"node\").\n   477→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   478→\t\t\tWhere(latestStateCondition()))\n   479→\tif qerr != nil {\n   480→\t\treturn 0, qerr\n   481→\t}\n   482→\n   483→\tquery = applyNodeFilters(query, filters)\n   484→\n   485→\tvar count int\n   486→\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n   487→\t\tqueryString, queryVars, _ := query.ToSql()\n   488→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   489→\t\treturn 0, err\n   490→\t}\n   491→\n   492→\treturn count, nil\n   493→}\n   494→\n   495→func (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n   496→\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   497→\t\t\"node_state.node_state\", \"node_state.health_state\").\n   498→\t\tFrom(\"node\").\n   499→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   500→\t\tWhere(latestStateCondition()).\n   501→\t\tWhere(\"node.cluster = ?\", cluster).\n   502→\t\tOrderBy(\"node.hostname ASC\")\n   503→\n   504→\trows, err := q.RunWith(r.DB).Query()\n   505→\tif err != nil {\n   506→\t\tcclog.Warn(\"Error while querying node list\")\n   507→\t\treturn nil, err\n   508→\t}\n   509→\tnodeList := make([]*schema.Node, 0, 100)\n   510→\tdefer rows.Close()\n   511→\tfor rows.Next() {\n   512→\t\tnode := &schema.Node{}\n   513→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n   514→\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n   515→\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n   516→\t\t\treturn nil, err\n   517→\t\t}\n   518→\n   519→\t\tnodeList = append(nodeList, node)\n   520→\t}\n   521→\n   522→\treturn nodeList, nil\n   523→}\n   524→\n   525→func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n   526→\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n   527→\t\tFrom(\"node\").\n   528→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   529→\t\tWhere(latestStateCondition()).\n   530→\t\tWhere(\"node.cluster = ?\", cluster).\n   531→\t\tOrderBy(\"node.hostname ASC\")\n   532→\n   533→\trows, err := q.RunWith(r.DB).Query()\n   534→\tif err != nil {\n   535→\t\tcclog.Warn(\"Error while querying node list\")\n   536→\t\treturn nil, err\n   537→\t}\n   538→\n   539→\tstateMap := make(map[string]string)\n   540→\tdefer rows.Close()\n   541→\tfor rows.Next() {\n   542→\t\tvar hostname, nodestate string\n   543→\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n   544→\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n   545→\t\t\treturn nil, err\n   546→\t\t}\n   547→\n   548→\t\tstateMap[hostname] = nodestate\n   549→\t}\n   550→\n   551→\treturn stateMap, nil\n   552→}\n   553→\n   554→func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n   555→\tquery, qerr := AccessCheck(ctx,\n   556→\t\tsq.Select(column, \"COUNT(*) as count\").\n   557→\t\t\tFrom(\"node\").\n   558→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   559→\t\t\tWhere(latestStateCondition()).\n   560→\t\t\tGroupBy(column))\n   561→\tif qerr != nil {\n   562→\t\treturn nil, qerr\n   563→\t}\n   564→\n   565→\tquery = applyNodeFilters(query, filters)\n   566→\n   567→\trows, err := query.RunWith(r.stmtCache).Query()\n   568→\tif err != nil {\n   569→\t\tqueryString, queryVars, _ := query.ToSql()\n   570→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   571→\t\treturn nil, err\n   572→\t}\n   573→\tdefer rows.Close()\n   574→\n   575→\tnodes := make([]*model.NodeStates, 0)\n   576→\tfor rows.Next() {\n   577→\t\tvar state string\n   578→\t\tvar count int\n   579→\t\tif err := rows.Scan(&state, &count); err != nil {\n   580→\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n   581→\t\t\treturn nil, err\n   582→\t\t}\n   583→\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n   584→\t}\n   585→\n   586→\tif err := rows.Err(); err != nil {\n   587→\t\treturn nil, err\n   588→\t}\n   589→\n   590→\treturn nodes, nil\n   591→}\n   592→\n   593→func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n   594→\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n   595→\tif qerr != nil {\n   596→\t\treturn nil, qerr\n   597→\t}\n   598→\n   599→\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n   600→\n   601→\tfor _, f := range filters {\n   602→\t\t// Required\n   603→\t\tif f.TimeStart != nil {\n   604→\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n   605→\t\t}\n   606→\t\t// Optional\n   607→\t\tif f.Hostname != nil {\n   608→\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n   609→\t\t}\n   610→\t\tif f.Cluster != nil {\n   611→\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n   612→\t\t}\n   613→\t\tif f.SubCluster != nil {\n   614→\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n   615→\t\t}\n   616→\t\tif f.SchedulerState != nil {\n   617→\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n   618→\t\t}\n   619→\t\tif f.HealthState != nil {\n   620→\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n   621→\t\t}\n   622→\t}\n   623→\n   624→\t// Add Group and Order\n   625→\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n   626→\n   627→\trows, err := query.RunWith(r.stmtCache).Query()\n   628→\tif err != nil {\n   629→\t\tqueryString, queryVars, _ := query.ToSql()\n   630→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   631→\t\treturn nil, err\n   632→\t}\n   633→\tdefer rows.Close()\n   634→\n   635→\trawData := make(map[string][][]int)\n   636→\tfor rows.Next() {\n   637→\t\tvar state string\n   638→\t\tvar timestamp, count int\n   639→\n   640→\t\tif err := rows.Scan(&state, &timestamp, &count); err != nil {\n   641→\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n   642→\t\t\treturn nil, err\n   643→\t\t}\n   644→\n   645→\t\tif rawData[state] == nil {\n   646→\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n   647→\t\t}\n   648→\n   649→\t\trawData[state][0] = append(rawData[state][0], timestamp)\n   650→\t\trawData[state][1] = append(rawData[state][1], count)\n   651→\t}\n   652→\n   653→\tif err := rows.Err(); err != nil {\n   654→\t\treturn nil, err\n   655→\t}\n   656→\n   657→\ttimedStates := make([]*model.NodeStatesTimed, 0)\n   658→\tfor state, data := range rawData {\n   659→\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n   660→\t\ttimedStates = append(timedStates, &entry)\n   661→\t}\n   662→\n   663→\treturn timedStates, nil\n   664→}\n   665→\n   666→func (r *NodeRepository) GetNodesForList(\n   667→\tctx context.Context,\n   668→\tcluster string,\n   669→\tsubCluster string,\n   670→\tstateFilter string,\n   671→\tnodeFilter string,\n   672→\tpage *model.PageRequest,\n   673→) ([]string, map[string]string, int, bool, error) {\n   674→\t// Init Return Vars\n   675→\tnodes := make([]string, 0)\n   676→\tstateMap := make(map[string]string)\n   677→\tcountNodes := 0\n   678→\thasNextPage := false\n   679→\n   680→\t// Build Filters\n   681→\tqueryFilters := make([]*model.NodeFilter, 0)\n   682→\tif cluster != \"\" {\n   683→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n   684→\t}\n   685→\tif subCluster != \"\" {\n   686→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n   687→\t}\n   688→\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n   689→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n   690→\t}\n   691→\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n   692→\t\tqueryState := schema.SchedulerState(stateFilter)\n   693→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n   694→\t}\n   695→\t// if healthFilter != \"all\" {\n   696→\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n   697→\t// }\n   698→\n   699→\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n   700→\tvar backupItems int\n   701→\tif stateFilter == \"notindb\" {\n   702→\t\tbackupItems = page.ItemsPerPage\n   703→\t\tpage.ItemsPerPage = -1\n   704→\t}\n   705→\n   706→\t// Query Nodes From DB\n   707→\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n   708→\tif serr != nil {\n   709→\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n   710→\t\treturn nil, nil, 0, false, serr\n   711→\t}\n   712→\n   713→\t// Intermediate Node Result Info\n   714→\tfor _, node := range rawNodes {\n   715→\t\tif node == nil {\n   716→\t\t\tcontinue\n   717→\t\t}\n   718→\t\tnodes = append(nodes, node.Hostname)\n   719→\t\tstateMap[node.Hostname] = string(node.NodeState)\n   720→\t}\n   721→\n   722→\t// Special Case: Find Nodes not in DB node table but in metricStore only\n   723→\tif stateFilter == \"notindb\" {\n   724→\t\t// Reapply Original Paging\n   725→\t\tpage.ItemsPerPage = backupItems\n   726→\t\t// Get Nodes From Topology\n   727→\t\tvar topoNodes []string\n   728→\t\tif subCluster != \"\" {\n   729→\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n   730→\t\t\ttopoNodes = scNodes.PrintList()\n   731→\t\t} else {\n   732→\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n   733→\t\t\tfor _, nodeList := range subClusterNodeLists {\n   734→\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n   735→\t\t\t}\n   736→\t\t}\n   737→\t\t// Compare to all nodes from cluster/subcluster in DB\n   738→\t\tvar missingNodes []string\n   739→\t\tfor _, scanNode := range topoNodes {\n   740→\t\t\tif !slices.Contains(nodes, scanNode) {\n   741→\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n   742→\t\t\t}\n   743→\t\t}\n   744→\t\t// Filter nodes by name\n   745→\t\tif nodeFilter != \"\" {\n   746→\t\t\tfilteredNodesByName := []string{}\n   747→\t\t\tfor _, missingNode := range missingNodes {\n   748→\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n   749→\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n   750→\t\t\t\t}\n   751→\t\t\t}\n   752→\t\t\tmissingNodes = filteredNodesByName\n   753→\t\t}\n   754→\t\t// Sort Missing Nodes Alphanumerically\n   755→\t\tslices.Sort(missingNodes)\n   756→\t\t// Total Missing\n   757→\t\tcountNodes = len(missingNodes)\n   758→\t\t// Apply paging\n   759→\t\tif countNodes > page.ItemsPerPage {\n   760→\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n   761→\t\t\tend := start + page.ItemsPerPage\n   762→\t\t\tif end > countNodes {\n   763→\t\t\t\tend = countNodes\n   764→\t\t\t\thasNextPage = false\n   765→\t\t\t} else {\n   766→\t\t\t\thasNextPage = true\n   767→\t\t\t}\n   768→\t\t\tnodes = missingNodes[start:end]\n   769→\t\t} else {\n   770→\t\t\tnodes = missingNodes\n   771→\t\t}\n   772→\n   773→\t} else {\n   774→\t\t// DB Nodes: Count and derive hasNextPage from count\n   775→\t\tvar cerr error\n   776→\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n   777→\t\tif cerr != nil {\n   778→\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n   779→\t\t\treturn nil, nil, 0, false, cerr\n   780→\t\t}\n   781→\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n   782→\t}\n   783→\n   784→\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n   785→\tif stateFilter == \"all\" && countNodes == 0 {\n   786→\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n   787→\t}\n   788→\n   789→\treturn nodes, stateMap, countNodes, hasNextPage, nil\n   790→}\n   791→\n   792→func AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n   793→\tuser := GetUserFromContext(ctx)\n   794→\treturn AccessCheckWithUser(user, query)\n   795→}\n   796→\n   797→func AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n   798→\tif user == nil {\n   799→\t\tvar qnil sq.SelectBuilder\n   800→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n   801→\t}\n   802→\n   803→\tswitch {\n   804→\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n   805→\t// \treturn query, nil\n   806→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n   807→\t\treturn query, nil\n   808→\tdefault: // No known Role: No Access, return error\n   809→\t\tvar qnil sq.SelectBuilder\n   810→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n   811→\t}\n   812→}\n   813→\n   814→func getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n   815→\t// 0) Init additional vars\n   816→\thasNextPage := false\n   817→\ttotalNodes := 0\n   818→\n   819→\t// 1) Get list of all nodes\n   820→\tvar topolNodes []string\n   821→\tif subCluster != \"\" {\n   822→\t\tscNodes := archive.NodeLists[cluster][subCluster]\n   823→\t\ttopolNodes = scNodes.PrintList()\n   824→\t} else {\n   825→\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n   826→\t\tfor _, nodeList := range subClusterNodeLists {\n   827→\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n   828→\t\t}\n   829→\t}\n   830→\n   831→\t// 2) Filter nodes\n   832→\tif nodeFilter != \"\" {\n   833→\t\tfilteredNodes := []string{}\n   834→\t\tfor _, node := range topolNodes {\n   835→\t\t\tif strings.Contains(node, nodeFilter) {\n   836→\t\t\t\tfilteredNodes = append(filteredNodes, node)\n   837→\t\t\t}\n   838→\t\t}\n   839→\t\ttopolNodes = filteredNodes\n   840→\t}\n   841→\n   842→\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n   843→\ttotalNodes = len(topolNodes)\n   844→\tsort.Strings(topolNodes)\n   845→\n   846→\t// 3) Apply paging\n   847→\tif len(topolNodes) > page.ItemsPerPage {\n   848→\t\tstart := (page.Page - 1) * page.ItemsPerPage\n   849→\t\tend := start + page.ItemsPerPage\n   850→\t\tif end >= len(topolNodes) {\n   851→\t\t\tend = len(topolNodes)\n   852→\t\t\thasNextPage = false\n   853→\t\t} else {\n   854→\t\t\thasNextPage = true\n   855→\t\t}\n   856→\t\ttopolNodes = topolNodes[start:end]\n   857→\t}\n   858→\n   859→\treturn topolNodes, totalNodes, hasNextPage\n   860→}\n   861→"}]},"uuid":"2188f7a5-cd29-489c-9a95-04382c575155","timestamp":"2026-03-16T10:12:41.122Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sort\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\tnodeRepoOnce     sync.Once\n\tnodeRepoInstance *NodeRepository\n)\n\ntype NodeRepository struct {\n\tDB        *sqlx.DB\n\tstmtCache *sq.StmtCache\n\tcache     *lrucache.Cache\n\tdriver    string\n}\n\nfunc GetNodeRepository() *NodeRepository {\n\tnodeRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tnodeRepoInstance = &NodeRepository{\n\t\t\tDB:     db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache:     lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn nodeRepoInstance\n}\n\n// latestStateCondition returns a squirrel expression that restricts node_state\n// rows to the latest per node_id using a correlated subquery.\n// Requires the query to join node and node_state tables.\nfunc latestStateCondition() sq.Sqlizer {\n\treturn sq.Expr(\n\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n\t)\n}\n\n// applyNodeFilters applies common NodeFilter conditions to a query that joins\n// the node and node_state tables with latestStateCondition.\nfunc applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\treturn query\n}\n\nfunc (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n\tstart := time.Now()\n\n\tRawMetaData := make([]byte, 0)\n\n\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n\t\tcclog.Warn(\"Error while scanning for node metadata\")\n\t\treturn nil, err\n\t}\n\n\tif len(RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tMetaData := make(map[string]string)\n\n\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn MetaData, nil\n}\n\nfunc (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tvar err error\n\t\tvar meta map[string]string\n\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n\t\t\treturn nil, err\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\nfunc (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.id = ?\", id).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n\t\tif metaErr != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n\t\t\treturn nil, metaErr\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\n// const NamedNodeInsert string = `\n// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n//\n//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n\nconst NamedNodeInsert string = `\nINSERT INTO node (hostname, cluster, subcluster)\n\tVALUES (:hostname, :cluster, :subcluster);`\n\n// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n// from a nodestate update from the job scheduler.\nfunc (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n\tvar err error\n\n\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\tnode.ID, err = res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\n\treturn node.ID, nil\n}\n\nconst NamedNodeStateInsert string = `\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n\n// TODO: Add real Monitoring Health State\n\n// UpdateNodeState is called from the Node REST API to add a row in the node state table\nfunc (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n\tvar id int64\n\n\tif err := sq.Select(\"id\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n\t\tQueryRow().Scan(&id); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tnode := schema.NodeDB{\n\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n\t\t\t}\n\t\t\tid, err = r.AddNode(&node)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n\t\t\treturn err\n\t\t}\n\t}\n\n\tnodeState.NodeID = id\n\n\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n\t\treturn err\n\t}\n\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n// \t\treturn err\n// \t}\n//\n// \treturn nil\n// }\n\n// NodeStateWithNode combines a node state row with denormalized node info.\ntype NodeStateWithNode struct {\n\tID              int64  `db:\"id\"`\n\tTimeStamp       int64  `db:\"time_stamp\"`\n\tNodeState       string `db:\"node_state\"`\n\tHealthState     string `db:\"health_state\"`\n\tHealthMetrics   string `db:\"health_metrics\"`\n\tCpusAllocated   int    `db:\"cpus_allocated\"`\n\tMemoryAllocated int64  `db:\"memory_allocated\"`\n\tGpusAllocated   int    `db:\"gpus_allocated\"`\n\tJobsRunning     int    `db:\"jobs_running\"`\n\tHostname        string `db:\"hostname\"`\n\tCluster         string `db:\"cluster\"`\n\tSubCluster      string `db:\"subcluster\"`\n}\n\n// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n// joined with node info for denormalized archiving.\nfunc (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n\trows, err := sq.Select(\n\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t).\n\t\tFrom(\"node_state\").\n\t\tJoin(\"node ON node_state.node_id = node.id\").\n\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n\t\tRunWith(r.DB).Query()\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tvar result []NodeStateWithNode\n\tfor rows.Next() {\n\t\tvar ns NodeStateWithNode\n\t\tvar healthMetrics sql.NullString\n\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n\t\t\t&ns.HealthState, &healthMetrics,\n\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tns.HealthMetrics = healthMetrics.String\n\t\tresult = append(result, ns)\n\t}\n\treturn result, nil\n}\n\n// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n// but always preserves the row with the latest timestamp per node_id.\nfunc (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t`DELETE FROM node_state WHERE time_stamp < ?\n\t\t AND id NOT IN (\n\t\t   SELECT id FROM node_state ns2\n\t\t   WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n\t\t )`,\n\t\tcutoff,\n\t)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn res.RowsAffected()\n}\n\nfunc (r *NodeRepository) DeleteNode(id int64) error {\n\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted node '%d' from DB\", id)\n\treturn nil\n}\n\n// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.\nfunc (r *NodeRepository) CountNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n) (int, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column, \"COUNT(*) as count\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()).\n\t\t\tGroupBy(column))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, &timestamp, &count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,\n\tpage *model.PageRequest,\n) ([]string, map[string]string, int, bool, error) {\n\t// Init Return Vars\n\tnodes := make([]string, 0)\n\tstateMap := make(map[string]string)\n\tcountNodes := 0\n\thasNextPage := false\n\n\t// Build Filters\n\tqueryFilters := make([]*model.NodeFilter, 0)\n\tif cluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n\t}\n\tif subCluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n\t}\n\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n\t}\n\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n\t\tqueryState := schema.SchedulerState(stateFilter)\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n\t}\n\t// if healthFilter != \"all\" {\n\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n\t// }\n\n\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n\tvar backupItems int\n\tif stateFilter == \"notindb\" {\n\t\tbackupItems = page.ItemsPerPage\n\t\tpage.ItemsPerPage = -1\n\t}\n\n\t// Query Nodes From DB\n\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n\tif serr != nil {\n\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n\t\treturn nil, nil, 0, false, serr\n\t}\n\n\t// Intermediate Node Result Info\n\tfor _, node := range rawNodes {\n\t\tif node == nil {\n\t\t\tcontinue\n\t\t}\n\t\tnodes = append(nodes, node.Hostname)\n\t\tstateMap[node.Hostname] = string(node.NodeState)\n\t}\n\n\t// Special Case: Find Nodes not in DB node table but in metricStore only\n\tif stateFilter == \"notindb\" {\n\t\t// Reapply Original Paging\n\t\tpage.ItemsPerPage = backupItems\n\t\t// Get Nodes From Topology\n\t\tvar topoNodes []string\n\t\tif subCluster != \"\" {\n\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\t\ttopoNodes = scNodes.PrintList()\n\t\t} else {\n\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n\t\t\t}\n\t\t}\n\t\t// Compare to all nodes from cluster/subcluster in DB\n\t\tvar missingNodes []string\n\t\tfor _, scanNode := range topoNodes {\n\t\t\tif !slices.Contains(nodes, scanNode) {\n\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n\t\t\t}\n\t\t}\n\t\t// Filter nodes by name\n\t\tif nodeFilter != \"\" {\n\t\t\tfilteredNodesByName := []string{}\n\t\t\tfor _, missingNode := range missingNodes {\n\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n\t\t\t\t}\n\t\t\t}\n\t\t\tmissingNodes = filteredNodesByName\n\t\t}\n\t\t// Sort Missing Nodes Alphanumerically\n\t\tslices.Sort(missingNodes)\n\t\t// Total Missing\n\t\tcountNodes = len(missingNodes)\n\t\t// Apply paging\n\t\tif countNodes > page.ItemsPerPage {\n\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\t\tend := start + page.ItemsPerPage\n\t\t\tif end > countNodes {\n\t\t\t\tend = countNodes\n\t\t\t\thasNextPage = false\n\t\t\t} else {\n\t\t\t\thasNextPage = true\n\t\t\t}\n\t\t\tnodes = missingNodes[start:end]\n\t\t} else {\n\t\t\tnodes = missingNodes\n\t\t}\n\n\t} else {\n\t\t// DB Nodes: Count and derive hasNextPage from count\n\t\tvar cerr error\n\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n\t\tif cerr != nil {\n\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n\t\t\treturn nil, nil, 0, false, cerr\n\t\t}\n\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n\t}\n\n\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n\tif stateFilter == \"all\" && countNodes == 0 {\n\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n\t}\n\n\treturn nodes, stateMap, countNodes, hasNextPage, nil\n}\n\nfunc AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn AccessCheckWithUser(user, query)\n}\n\nfunc AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n\t// \treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n\t\treturn query, nil\n\tdefault: // No known Role: No Access, return error\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\nfunc getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n\t// 0) Init additional vars\n\thasNextPage := false\n\ttotalNodes := 0\n\n\t// 1) Get list of all nodes\n\tvar topolNodes []string\n\tif subCluster != \"\" {\n\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\ttopolNodes = scNodes.PrintList()\n\t} else {\n\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n\t\t}\n\t}\n\n\t// 2) Filter nodes\n\tif nodeFilter != \"\" {\n\t\tfilteredNodes := []string{}\n\t\tfor _, node := range topolNodes {\n\t\t\tif strings.Contains(node, nodeFilter) {\n\t\t\t\tfilteredNodes = append(filteredNodes, node)\n\t\t\t}\n\t\t}\n\t\ttopolNodes = filteredNodes\n\t}\n\n\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n\ttotalNodes = len(topolNodes)\n\tsort.Strings(topolNodes)\n\n\t// 3) Apply paging\n\tif len(topolNodes) > page.ItemsPerPage {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tend := start + page.ItemsPerPage\n\t\tif end >= len(topolNodes) {\n\t\t\tend = len(topolNodes)\n\t\t\thasNextPage = false\n\t\t} else {\n\t\t\thasNextPage = true\n\t\t}\n\t\ttopolNodes = topolNodes[start:end]\n\t}\n\n\treturn topolNodes, totalNodes, hasNextPage\n}\n","numLines":861,"startLine":1,"totalLines":861}},"sourceToolAssistantUUID":"d8f1148f-83ce-49d1-8a7f-4e6531306bf4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"c8d3f293-f0a4-4c69-a19e-1f7a97d640ab","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SbAkMWCk98L7vU7dNCyC7L","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"database/sql\"\n    10→\t\"encoding/json\"\n    11→\t\"strings\"\n    12→\t\"sync\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n    21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n    23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    24→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n    25→)\n    26→\n    27→// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n    28→// It mirrors the functionality of the REST API but uses NATS messaging with\n    29→// InfluxDB line protocol as the message format.\n    30→//\n    31→// # Message Format\n    32→//\n    33→// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n    34→// with the following structure:\n    35→//\n    36→//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n    37→//\n    38→// # Job Events\n    39→//\n    40→// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n    41→//\n    42→//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n    43→//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n    44→//\n    45→// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n    46→//\n    47→// Example job start message:\n    48→//\n    49→//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n    50→//\n    51→// # Node State Events\n    52→//\n    53→// Node state updates use the \"nodestate\" measurement with cluster information:\n    54→//\n    55→//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n    56→//\n    57→// The JSON payload follows the UpdateNodeStatesRequest structure.\n    58→//\n    59→// Example node state message:\n    60→//\n    61→//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\n    62→type NatsAPI struct {\n    63→\tJobRepository *repository.JobRepository\n    64→\t// RepositoryMutex protects job creation operations from race conditions\n    65→\t// when checking for duplicate jobs during startJob calls.\n    66→\tRepositoryMutex sync.Mutex\n    67→}\n    68→\n    69→// NewNatsAPI creates a new NatsAPI instance with default dependencies.\n    70→func NewNatsAPI() *NatsAPI {\n    71→\treturn &NatsAPI{\n    72→\t\tJobRepository: repository.GetJobRepository(),\n    73→\t}\n    74→}\n    75→\n    76→// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n    77→// Returns an error if the NATS client is not available or subscription fails.\n    78→func (api *NatsAPI) StartSubscriptions() error {\n    79→\tclient := nats.GetClient()\n    80→\tif client == nil {\n    81→\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n    82→\t\treturn nil\n    83→\t}\n    84→\n    85→\tif config.Keys.APISubjects != nil {\n    86→\n    87→\t\ts := config.Keys.APISubjects\n    88→\n    89→\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n    90→\t\t\treturn err\n    91→\t\t}\n    92→\n    93→\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n    94→\t\t\treturn err\n    95→\t\t}\n    96→\n    97→\t\tcclog.Info(\"NATS API subscriptions started\")\n    98→\t}\n    99→\treturn nil\n   100→}\n   101→\n   102→// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n   103→// Validates that required tags and fields are present before processing.\n   104→func (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n   105→\tfunction, ok := msg.GetTag(\"function\")\n   106→\tif !ok {\n   107→\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n   108→\t\treturn\n   109→\t}\n   110→\n   111→\tswitch function {\n   112→\tcase \"start_job\":\n   113→\t\tv, ok := msg.GetEventValue()\n   114→\t\tif !ok {\n   115→\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n   116→\t\t\treturn\n   117→\t\t}\n   118→\t\tapi.handleStartJob(v)\n   119→\n   120→\tcase \"stop_job\":\n   121→\t\tv, ok := msg.GetEventValue()\n   122→\t\tif !ok {\n   123→\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n   124→\t\t\treturn\n   125→\t\t}\n   126→\t\tapi.handleStopJob(v)\n   127→\n   128→\tdefault:\n   129→\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n   130→\t}\n   131→}\n   132→\n   133→// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n   134→// The message must be in line protocol format with measurement=\"job\" and include:\n   135→//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n   136→//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n   137→//\n   138→// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\n   139→func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n   140→\tif len(data) == 0 {\n   141→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n   142→\t\treturn\n   143→\t}\n   144→\n   145→\td := influx.NewDecoderWithBytes(data)\n   146→\n   147→\tfor d.Next() {\n   148→\t\tm, err := receivers.DecodeInfluxMessage(d)\n   149→\t\tif err != nil {\n   150→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n   151→\t\t\treturn\n   152→\t\t}\n   153→\n   154→\t\tif !m.IsEvent() {\n   155→\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n   156→\t\t\tcontinue\n   157→\t\t}\n   158→\n   159→\t\tif m.Name() == \"job\" {\n   160→\t\t\tapi.processJobEvent(m)\n   161→\t\t} else {\n   162→\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n   163→\t\t}\n   164→\t}\n   165→}\n   166→\n   167→// handleStartJob processes job start messages received via NATS.\n   168→// The payload parameter contains JSON following the schema.Job structure.\n   169→// Jobs are validated, checked for duplicates, and inserted into the database.\n   170→func (api *NatsAPI) handleStartJob(payload string) {\n   171→\tif payload == \"\" {\n   172→\t\tcclog.Error(\"NATS start job: payload is empty\")\n   173→\t\treturn\n   174→\t}\n   175→\treq := schema.Job{\n   176→\t\tShared:           \"none\",\n   177→\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n   178→\t}\n   179→\n   180→\tdec := json.NewDecoder(strings.NewReader(payload))\n   181→\tdec.DisallowUnknownFields()\n   182→\tif err := dec.Decode(&req); err != nil {\n   183→\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n   184→\t\treturn\n   185→\t}\n   186→\n   187→\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n   188→\treq.State = schema.JobStateRunning\n   189→\n   190→\tif err := importer.SanityChecks(&req); err != nil {\n   191→\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n   192→\t\treturn\n   193→\t}\n   194→\n   195→\tvar unlockOnce sync.Once\n   196→\tapi.RepositoryMutex.Lock()\n   197→\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n   198→\n   199→\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n   200→\tif err != nil && err != sql.ErrNoRows {\n   201→\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n   202→\t\treturn\n   203→\t}\n   204→\tif err == nil {\n   205→\t\tfor _, job := range jobs {\n   206→\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n   207→\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n   208→\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n   209→\t\t\t\treturn\n   210→\t\t\t}\n   211→\t\t}\n   212→\t}\n   213→\n   214→\t// When tags are present, insert directly into the job table so that the\n   215→\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n   216→\tvar id int64\n   217→\tif len(req.Tags) > 0 {\n   218→\t\tid, err = api.JobRepository.StartDirect(&req)\n   219→\t} else {\n   220→\t\tid, err = api.JobRepository.Start(&req)\n   221→\t}\n   222→\tif err != nil {\n   223→\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n   224→\t\treturn\n   225→\t}\n   226→\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n   227→\n   228→\tfor _, tag := range req.Tags {\n   229→\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n   230→\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n   231→\t\t\treturn\n   232→\t\t}\n   233→\t}\n   234→\n   235→\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n   236→\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n   237→}\n   238→\n   239→// handleStopJob processes job stop messages received via NATS.\n   240→// The payload parameter contains JSON following the StopJobAPIRequest structure.\n   241→// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\n   242→func (api *NatsAPI) handleStopJob(payload string) {\n   243→\tif payload == \"\" {\n   244→\t\tcclog.Error(\"NATS stop job: payload is empty\")\n   245→\t\treturn\n   246→\t}\n   247→\tvar req StopJobAPIRequest\n   248→\n   249→\tdec := json.NewDecoder(strings.NewReader(payload))\n   250→\tdec.DisallowUnknownFields()\n   251→\tif err := dec.Decode(&req); err != nil {\n   252→\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n   253→\t\treturn\n   254→\t}\n   255→\n   256→\tif req.JobID == nil {\n   257→\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n   258→\t\treturn\n   259→\t}\n   260→\n   261→\tisCached := false\n   262→\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n   263→\tif err != nil {\n   264→\t\t// Not in cache, try main job table\n   265→\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n   266→\t\tif err != nil {\n   267→\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n   268→\t\t\treturn\n   269→\t\t}\n   270→\t} else {\n   271→\t\tisCached = true\n   272→\t}\n   273→\n   274→\tif job.State != schema.JobStateRunning {\n   275→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n   276→\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n   277→\t\treturn\n   278→\t}\n   279→\n   280→\tif job.StartTime > req.StopTime {\n   281→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n   282→\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n   283→\t\treturn\n   284→\t}\n   285→\n   286→\tif req.State != \"\" && !req.State.Valid() {\n   287→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n   288→\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n   289→\t\treturn\n   290→\t} else if req.State == \"\" {\n   291→\t\treq.State = schema.JobStateCompleted\n   292→\t}\n   293→\n   294→\tjob.Duration = int32(req.StopTime - job.StartTime)\n   295→\tjob.State = req.State\n   296→\tapi.JobRepository.Mutex.Lock()\n   297→\tdefer api.JobRepository.Mutex.Unlock()\n   298→\n   299→\t// If the job is still in job_cache, transfer it to the job table first\n   300→\tif isCached {\n   301→\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n   302→\t\tif err != nil {\n   303→\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n   304→\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n   305→\t\t\treturn\n   306→\t\t}\n   307→\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n   308→\t\tjob.ID = &newID\n   309→\t}\n   310→\n   311→\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n   312→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n   313→\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n   314→\t\treturn\n   315→\t}\n   316→\n   317→\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n   318→\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n   319→\n   320→\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n   321→\t\treturn\n   322→\t}\n   323→\n   324→\tarchiver.TriggerArchiving(job)\n   325→}\n   326→\n   327→// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n   328→// Updates node states in the repository for all nodes in the payload.\n   329→func (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n   330→\tv, ok := msg.GetEventValue()\n   331→\tif !ok {\n   332→\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n   333→\t\treturn\n   334→\t}\n   335→\n   336→\tvar req UpdateNodeStatesRequest\n   337→\n   338→\tdec := json.NewDecoder(strings.NewReader(v))\n   339→\tdec.DisallowUnknownFields()\n   340→\tif err := dec.Decode(&req); err != nil {\n   341→\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n   342→\t\treturn\n   343→\t}\n   344→\n   345→\trepo := repository.GetNodeRepository()\n   346→\trequestReceived := time.Now().Unix()\n   347→\n   348→\tfor _, node := range req.Nodes {\n   349→\t\tstate := determineState(node.States)\n   350→\t\tnodeState := schema.NodeStateDB{\n   351→\t\t\tTimeStamp:       requestReceived,\n   352→\t\t\tNodeState:       state,\n   353→\t\t\tCpusAllocated:   node.CpusAllocated,\n   354→\t\t\tMemoryAllocated: node.MemoryAllocated,\n   355→\t\t\tGpusAllocated:   node.GpusAllocated,\n   356→\t\t\tHealthState:     schema.MonitoringStateFull,\n   357→\t\t\tJobsRunning:     node.JobsRunning,\n   358→\t\t}\n   359→\n   360→\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n   361→\t\t\tcclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",\n   362→\t\t\t\tnode.Hostname, req.Cluster, err)\n   363→\t\t}\n   364→\t}\n   365→\n   366→\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n   367→}\n   368→\n   369→// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n   370→// The message must be in line protocol format with measurement=\"nodestate\" and include:\n   371→//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n   372→//\n   373→// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\n   374→func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n   375→\tif len(data) == 0 {\n   376→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n   377→\t\treturn\n   378→\t}\n   379→\n   380→\td := influx.NewDecoderWithBytes(data)\n   381→\n   382→\tfor d.Next() {\n   383→\t\tm, err := receivers.DecodeInfluxMessage(d)\n   384→\t\tif err != nil {\n   385→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n   386→\t\t\treturn\n   387→\t\t}\n   388→\n   389→\t\tif !m.IsEvent() {\n   390→\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n   391→\t\t\tcontinue\n   392→\t\t}\n   393→\n   394→\t\tif m.Name() == \"nodestate\" {\n   395→\t\t\tapi.processNodestateEvent(m)\n   396→\t\t} else {\n   397→\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n   398→\t\t}\n   399→\t}\n   400→}\n   401→"}]},"uuid":"186dcc55-1ec7-4336-abee-c9a5e56c2a8f","timestamp":"2026-03-16T10:12:41.400Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","numLines":401,"startLine":1,"totalLines":401}},"sourceToolAssistantUUID":"c8d3f293-f0a4-4c69-a19e-1f7a97d640ab","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"186dcc55-1ec7-4336-abee-c9a5e56c2a8f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014TL3pbSWBVr2pivAjUxp1C","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"2778e110-6ad8-4f0f-901e-a221ad5b2824","timestamp":"2026-03-16T10:12:41.836Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"2778e110-6ad8-4f0f-901e-a221ad5b2824","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_014TL3pbSWBVr2pivAjUxp1C","toolUseID":"toolu_014TL3pbSWBVr2pivAjUxp1C","timestamp":"2026-03-16T10:12:41.843Z","uuid":"9129b1db-0ee2-467a-9ec9-212b396d1bb4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"2778e110-6ad8-4f0f-901e-a221ad5b2824","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014TL3pbSWBVr2pivAjUxp1C","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"fmt\"\n    10→\t\"maps\"\n    11→\t\"net/http\"\n    12→\t\"strings\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→)\n    22→\n    23→type UpdateNodeStatesRequest struct {\n    24→\tNodes   []schema.NodePayload `json:\"nodes\"`\n    25→\tCluster string               `json:\"cluster\" example:\"fritz\"`\n    26→}\n    27→\n    28→// metricListToNames converts a map of metric configurations to a list of metric names\n    29→func metricListToNames(metricList map[string]*schema.Metric) []string {\n    30→\tnames := make([]string, 0, len(metricList))\n    31→\tfor name := range metricList {\n    32→\t\tnames = append(names, name)\n    33→\t}\n    34→\treturn names\n    35→}\n    36→\n    37→// this routine assumes that only one of them exists per node\n    38→func determineState(states []string) schema.SchedulerState {\n    39→\tfor _, state := range states {\n    40→\t\tswitch strings.ToLower(state) {\n    41→\t\tcase \"allocated\":\n    42→\t\t\treturn schema.NodeStateAllocated\n    43→\t\tcase \"reserved\":\n    44→\t\t\treturn schema.NodeStateReserved\n    45→\t\tcase \"idle\":\n    46→\t\t\treturn schema.NodeStateIdle\n    47→\t\tcase \"down\":\n    48→\t\t\treturn schema.NodeStateDown\n    49→\t\tcase \"mixed\":\n    50→\t\t\treturn schema.NodeStateMixed\n    51→\t\t}\n    52→\t}\n    53→\n    54→\treturn schema.NodeStateUnknown\n    55→}\n    56→\n    57→// updateNodeStates godoc\n    58→// @summary     Deliver updated Slurm node states\n    59→// @tags Nodestates\n    60→// @description Returns a JSON-encoded list of users.\n    61→// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n    62→// @produce     json\n    63→// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n    64→// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n    65→// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n    66→// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n    67→// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n    68→// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n    69→// @security    ApiKeyAuth\n    70→// @router      /api/nodestats/ [post]\n    71→func (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n    72→\t// Parse request body\n    73→\treq := UpdateNodeStatesRequest{}\n    74→\tif err := decode(r.Body, &req); err != nil {\n    75→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n    76→\t\t\thttp.StatusBadRequest, rw)\n    77→\t\treturn\n    78→\t}\n    79→\trequestReceived := time.Now().Unix()\n    80→\trepo := repository.GetNodeRepository()\n    81→\n    82→\tm := make(map[string][]string)\n    83→\tmetricNames := make(map[string][]string)\n    84→\thealthResults := make(map[string]metricstore.HealthCheckResult)\n    85→\n    86→\tstartMs := time.Now()\n    87→\n    88→\t// Step 1: Build nodeList and metricList per subcluster\n    89→\tfor _, node := range req.Nodes {\n    90→\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n    91→\t\t\tm[sc] = append(m[sc], node.Hostname)\n    92→\t\t}\n    93→\t}\n    94→\n    95→\tfor sc := range m {\n    96→\t\tif sc != \"\" {\n    97→\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n    98→\t\t\tmetricNames[sc] = metricListToNames(metricList)\n    99→\t\t}\n   100→\t}\n   101→\n   102→\t// Step 2: Determine which metric store to query and perform health check\n   103→\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n   104→\tif err != nil {\n   105→\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n   106→\t} else {\n   107→\t\tfor sc, nl := range m {\n   108→\t\t\tif sc != \"\" {\n   109→\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n   110→\t\t\t\t\tmaps.Copy(healthResults, results)\n   111→\t\t\t\t}\n   112→\t\t\t}\n   113→\t\t}\n   114→\t}\n   115→\n   116→\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n   117→\tstartDB := time.Now()\n   118→\n   119→\tfor _, node := range req.Nodes {\n   120→\t\tstate := determineState(node.States)\n   121→\t\thealthState := schema.MonitoringStateFailed\n   122→\t\tvar healthMetrics string\n   123→\t\tif result, ok := healthResults[node.Hostname]; ok {\n   124→\t\t\thealthState = result.State\n   125→\t\t\thealthMetrics = result.HealthMetrics\n   126→\t\t}\n   127→\t\tnodeState := schema.NodeStateDB{\n   128→\t\t\tTimeStamp:       requestReceived,\n   129→\t\t\tNodeState:       state,\n   130→\t\t\tCpusAllocated:   node.CpusAllocated,\n   131→\t\t\tMemoryAllocated: node.MemoryAllocated,\n   132→\t\t\tGpusAllocated:   node.GpusAllocated,\n   133→\t\t\tHealthState:     healthState,\n   134→\t\t\tHealthMetrics:   healthMetrics,\n   135→\t\t\tJobsRunning:     node.JobsRunning,\n   136→\t\t}\n   137→\n   138→\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n   139→\t\t\tcclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",\n   140→\t\t\t\tnode.Hostname, req.Cluster, err)\n   141→\t\t}\n   142→\t}\n   143→\n   144→\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n   145→}\n   146→"}]},"uuid":"78f555f7-8f16-44fa-b61b-ca0e4f57eefa","timestamp":"2026-03-16T10:12:41.842Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"fmt\"\n\t\"maps\"\n\t\"net/http\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\ntype UpdateNodeStatesRequest struct {\n\tNodes   []schema.NodePayload `json:\"nodes\"`\n\tCluster string               `json:\"cluster\" example:\"fritz\"`\n}\n\n// metricListToNames converts a map of metric configurations to a list of metric names\nfunc metricListToNames(metricList map[string]*schema.Metric) []string {\n\tnames := make([]string, 0, len(metricList))\n\tfor name := range metricList {\n\t\tnames = append(names, name)\n\t}\n\treturn names\n}\n\n// this routine assumes that only one of them exists per node\nfunc determineState(states []string) schema.SchedulerState {\n\tfor _, state := range states {\n\t\tswitch strings.ToLower(state) {\n\t\tcase \"allocated\":\n\t\t\treturn schema.NodeStateAllocated\n\t\tcase \"reserved\":\n\t\t\treturn schema.NodeStateReserved\n\t\tcase \"idle\":\n\t\t\treturn schema.NodeStateIdle\n\t\tcase \"down\":\n\t\t\treturn schema.NodeStateDown\n\t\tcase \"mixed\":\n\t\t\treturn schema.NodeStateMixed\n\t\t}\n\t}\n\n\treturn schema.NodeStateUnknown\n}\n\n// updateNodeStates godoc\n// @summary     Deliver updated Slurm node states\n// @tags Nodestates\n// @description Returns a JSON-encoded list of users.\n// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n// @produce     json\n// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/nodestats/ [post]\nfunc (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n\t// Parse request body\n\treq := UpdateNodeStatesRequest{}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n\t\t\thttp.StatusBadRequest, rw)\n\t\treturn\n\t}\n\trequestReceived := time.Now().Unix()\n\trepo := repository.GetNodeRepository()\n\n\tm := make(map[string][]string)\n\tmetricNames := make(map[string][]string)\n\thealthResults := make(map[string]metricstore.HealthCheckResult)\n\n\tstartMs := time.Now()\n\n\t// Step 1: Build nodeList and metricList per subcluster\n\tfor _, node := range req.Nodes {\n\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n\t\t\tm[sc] = append(m[sc], node.Hostname)\n\t\t}\n\t}\n\n\tfor sc := range m {\n\t\tif sc != \"\" {\n\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n\t\t\tmetricNames[sc] = metricListToNames(metricList)\n\t\t}\n\t}\n\n\t// Step 2: Determine which metric store to query and perform health check\n\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n\tif err != nil {\n\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n\t} else {\n\t\tfor sc, nl := range m {\n\t\t\tif sc != \"\" {\n\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n\t\t\t\t\tmaps.Copy(healthResults, results)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     healthState,\n\t\t\tHealthMetrics:   healthMetrics,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n}\n","numLines":146,"startLine":1,"totalLines":146}},"sourceToolAssistantUUID":"2778e110-6ad8-4f0f-901e-a221ad5b2824","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"78f555f7-8f16-44fa-b61b-ca0e4f57eefa","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QZn1z7o6wW6qHVFPQ63xir","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"ab33adee-9926-4c38-af68-7a0b5d885ff8","timestamp":"2026-03-16T10:12:42.245Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"ab33adee-9926-4c38-af68-7a0b5d885ff8","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01QZn1z7o6wW6qHVFPQ63xir","toolUseID":"toolu_01QZn1z7o6wW6qHVFPQ63xir","timestamp":"2026-03-16T10:12:42.250Z","uuid":"8ec2b218-0906-411c-a125-b9d46a9cbf93","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"ab33adee-9926-4c38-af68-7a0b5d885ff8","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QZn1z7o6wW6qHVFPQ63xir","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package repository\n     6→\n     7→import (\n     8→\t\"context\"\n     9→\t\"database/sql\"\n    10→\t\"encoding/json\"\n    11→\t\"errors\"\n    12→\t\"fmt\"\n    13→\t\"reflect\"\n    14→\t\"strings\"\n    15→\t\"sync\"\n    16→\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→\tsq \"github.com/Masterminds/squirrel\"\n    22→\t\"github.com/jmoiron/sqlx\"\n    23→\t\"golang.org/x/crypto/bcrypt\"\n    24→)\n    25→\n    26→// Authentication and Role System:\n    27→//\n    28→// ClusterCockpit supports multiple authentication sources:\n    29→//   - Local: Username/password stored in database (password hashed with bcrypt)\n    30→//   - LDAP: External LDAP/Active Directory authentication\n    31→//   - JWT: Token-based authentication for API access\n    32→//\n    33→// Role Hierarchy (from highest to lowest privilege):\n    34→//   1. \"admin\" - Full system access, can manage all users and jobs\n    35→//   2. \"support\" - Can view all jobs but limited management capabilities\n    36→//   3. \"manager\" - Can manage specific projects and their users\n    37→//   4. \"api\" - Programmatic access for job submission/management\n    38→//   5. \"user\" - Default role, can only view own jobs\n    39→//\n    40→// Project Association:\n    41→//   - Managers have a list of projects they oversee\n    42→//   - Regular users' project membership is determined by job data\n    43→//   - Managers can view/manage all jobs within their projects\n    44→\n    45→var (\n    46→\tuserRepoOnce     sync.Once\n    47→\tuserRepoInstance *UserRepository\n    48→)\n    49→\n    50→type UserRepository struct {\n    51→\tDB     *sqlx.DB\n    52→\tdriver string\n    53→}\n    54→\n    55→func GetUserRepository() *UserRepository {\n    56→\tuserRepoOnce.Do(func() {\n    57→\t\tdb := GetConnection()\n    58→\n    59→\t\tuserRepoInstance = &UserRepository{\n    60→\t\t\tDB:     db.DB,\n    61→\t\t\tdriver: db.Driver,\n    62→\t\t}\n    63→\t})\n    64→\treturn userRepoInstance\n    65→}\n    66→\n    67→// GetUser retrieves a user by username from the database.\n    68→// Returns the complete user record including hashed password, roles, and projects.\n    69→// Password field contains bcrypt hash for local auth users, empty for LDAP users.\n    70→func (r *UserRepository) GetUser(username string) (*schema.User, error) {\n    71→\tuser := &schema.User{Username: username}\n    72→\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n    73→\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n    74→\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n    75→\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n    76→\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n    77→\t\treturn nil, err\n    78→\t}\n    79→\n    80→\tuser.Password = hashedPassword.String\n    81→\tuser.Name = name.String\n    82→\tuser.Email = email.String\n    83→\tif rawRoles.Valid {\n    84→\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n    85→\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n    86→\t\t\treturn nil, err\n    87→\t\t}\n    88→\t}\n    89→\tif rawProjects.Valid {\n    90→\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n    91→\t\t\treturn nil, err\n    92→\t\t}\n    93→\t}\n    94→\n    95→\treturn user, nil\n    96→}\n    97→\n    98→func (r *UserRepository) GetLdapUsernames() ([]string, error) {\n    99→\tvar users []string\n   100→\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n   101→\tif err != nil {\n   102→\t\tcclog.Warn(\"Error while querying usernames\")\n   103→\t\treturn nil, err\n   104→\t}\n   105→\tdefer rows.Close()\n   106→\n   107→\tfor rows.Next() {\n   108→\t\tvar username string\n   109→\t\tif err := rows.Scan(&username); err != nil {\n   110→\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n   111→\t\t\treturn nil, err\n   112→\t\t}\n   113→\n   114→\t\tusers = append(users, username)\n   115→\t}\n   116→\n   117→\treturn users, nil\n   118→}\n   119→\n   120→// AddUser creates a new user in the database.\n   121→// Passwords are automatically hashed with bcrypt before storage.\n   122→// Auth source determines authentication method (local, LDAP, etc.).\n   123→//\n   124→// Required fields: Username, Roles\n   125→// Optional fields: Name, Email, Password, Projects, AuthSource\n   126→func (r *UserRepository) AddUser(user *schema.User) error {\n   127→\trolesJson, _ := json.Marshal(user.Roles)\n   128→\tprojectsJson, _ := json.Marshal(user.Projects)\n   129→\n   130→\tcols := []string{\"username\", \"roles\", \"projects\"}\n   131→\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n   132→\n   133→\tif user.Name != \"\" {\n   134→\t\tcols = append(cols, \"name\")\n   135→\t\tvals = append(vals, user.Name)\n   136→\t}\n   137→\tif user.Email != \"\" {\n   138→\t\tcols = append(cols, \"email\")\n   139→\t\tvals = append(vals, user.Email)\n   140→\t}\n   141→\tif user.Password != \"\" {\n   142→\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n   143→\t\tif err != nil {\n   144→\t\t\tcclog.Error(\"Error while encrypting new user password\")\n   145→\t\t\treturn err\n   146→\t\t}\n   147→\t\tcols = append(cols, \"password\")\n   148→\t\tvals = append(vals, string(password))\n   149→\t}\n   150→\tif user.AuthSource != -1 {\n   151→\t\tcols = append(cols, \"ldap\")\n   152→\t\tvals = append(vals, int(user.AuthSource))\n   153→\t}\n   154→\n   155→\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n   156→\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n   157→\t\treturn err\n   158→\t}\n   159→\n   160→\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n   161→\n   162→\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n   163→\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n   164→\tif err != nil {\n   165→\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n   166→\t} else if defaultMetricsCfg != nil {\n   167→\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n   168→\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n   169→\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n   170→\t\t\tif err != nil {\n   171→\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n   172→\t\t\t\tcontinue\n   173→\t\t\t}\n   174→\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n   175→\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n   176→\t\t\tif _, err := sq.Insert(\"configuration\").\n   177→\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n   178→\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n   179→\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n   180→\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n   181→\t\t\t} else {\n   182→\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n   183→\t\t\t}\n   184→\t\t}\n   185→\t}\n   186→\t// END DEPRECATION\n   187→\n   188→\treturn nil\n   189→}\n   190→\n   191→func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n   192→\t// user contains updated info -> Apply to dbUser\n   193→\t// --- Simple Name Update ---\n   194→\tif dbUser.Name != user.Name {\n   195→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n   196→\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n   197→\t\t\treturn err\n   198→\t\t}\n   199→\t}\n   200→\n   201→\t// --- Def Helpers ---\n   202→\t// Helper to update roles\n   203→\tupdateRoles := func(roles []string) error {\n   204→\t\trolesJSON, _ := json.Marshal(roles)\n   205→\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n   206→\t\treturn err\n   207→\t}\n   208→\n   209→\t// Helper to update projects\n   210→\tupdateProjects := func(projects []string) error {\n   211→\t\tprojectsJSON, _ := json.Marshal(projects)\n   212→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n   213→\t\treturn err\n   214→\t}\n   215→\n   216→\t// Helper to clear projects\n   217→\tclearProjects := func() error {\n   218→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n   219→\t\treturn err\n   220→\t}\n   221→\n   222→\t// --- Manager Role Handling ---\n   223→\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n   224→\t\t// Existing Manager: update projects\n   225→\t\tif err := updateProjects(user.Projects); err != nil {\n   226→\t\t\treturn err\n   227→\t\t}\n   228→\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n   229→\t\t// New Manager: update roles and projects\n   230→\t\tif err := updateRoles(user.Roles); err != nil {\n   231→\t\t\treturn err\n   232→\t\t}\n   233→\t\tif err := updateProjects(user.Projects); err != nil {\n   234→\t\t\treturn err\n   235→\t\t}\n   236→\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n   237→\t\t// Remove Manager: update roles and clear projects\n   238→\t\tif err := updateRoles(user.Roles); err != nil {\n   239→\t\t\treturn err\n   240→\t\t}\n   241→\t\tif err := clearProjects(); err != nil {\n   242→\t\t\treturn err\n   243→\t\t}\n   244→\t}\n   245→\n   246→\t// --- Support Role Handling ---\n   247→\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n   248→\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n   249→\t\t// New Support: update roles\n   250→\t\tif err := updateRoles(user.Roles); err != nil {\n   251→\t\t\treturn err\n   252→\t\t}\n   253→\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n   254→\t\t// Remove Support: update roles\n   255→\t\tif err := updateRoles(user.Roles); err != nil {\n   256→\t\t\treturn err\n   257→\t\t}\n   258→\t}\n   259→\n   260→\treturn nil\n   261→}\n   262→\n   263→func (r *UserRepository) DelUser(username string) error {\n   264→\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n   265→\tif err != nil {\n   266→\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n   267→\t\treturn err\n   268→\t}\n   269→\tcclog.Infof(\"deleted user '%s' from DB\", username)\n   270→\treturn nil\n   271→}\n   272→\n   273→func (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n   274→\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n   275→\tif specialsOnly {\n   276→\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n   277→\t}\n   278→\n   279→\trows, err := q.RunWith(r.DB).Query()\n   280→\tif err != nil {\n   281→\t\tcclog.Warn(\"Error while querying user list\")\n   282→\t\treturn nil, err\n   283→\t}\n   284→\n   285→\tusers := make([]*schema.User, 0)\n   286→\tdefer rows.Close()\n   287→\tfor rows.Next() {\n   288→\t\trawroles := \"\"\n   289→\t\trawprojects := \"\"\n   290→\t\tuser := &schema.User{}\n   291→\t\tvar name, email sql.NullString\n   292→\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n   293→\t\t\tcclog.Warn(\"Error while scanning user list\")\n   294→\t\t\treturn nil, err\n   295→\t\t}\n   296→\n   297→\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n   298→\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n   299→\t\t\treturn nil, err\n   300→\t\t}\n   301→\n   302→\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n   303→\t\t\treturn nil, err\n   304→\t\t}\n   305→\n   306→\t\tuser.Name = name.String\n   307→\t\tuser.Email = email.String\n   308→\t\tusers = append(users, user)\n   309→\t}\n   310→\treturn users, nil\n   311→}\n   312→\n   313→// AddRole adds a role to a user's role list.\n   314→// Role string is automatically lowercased.\n   315→// Valid roles: admin, support, manager, api, user\n   316→//\n   317→// Returns error if:\n   318→//   - User doesn't exist\n   319→//   - Role is invalid\n   320→//   - User already has the role\n   321→func (r *UserRepository) AddRole(\n   322→\tctx context.Context,\n   323→\tusername string,\n   324→\tqueryrole string,\n   325→) error {\n   326→\tnewRole := strings.ToLower(queryrole)\n   327→\tuser, err := r.GetUser(username)\n   328→\tif err != nil {\n   329→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n   330→\t\treturn err\n   331→\t}\n   332→\n   333→\texists, valid := user.HasValidRole(newRole)\n   334→\n   335→\tif !valid {\n   336→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n   337→\t}\n   338→\tif exists {\n   339→\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n   340→\t}\n   341→\n   342→\troles, _ := json.Marshal(append(user.Roles, newRole))\n   343→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n   344→\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n   345→\t\treturn err\n   346→\t}\n   347→\treturn nil\n   348→}\n   349→\n   350→// RemoveRole removes a role from a user's role list.\n   351→//\n   352→// Special rules:\n   353→//   - Cannot remove \"manager\" role while user has assigned projects\n   354→//   - Must remove all projects first before removing manager role\n   355→func (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n   356→\toldRole := strings.ToLower(queryrole)\n   357→\tuser, err := r.GetUser(username)\n   358→\tif err != nil {\n   359→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n   360→\t\treturn err\n   361→\t}\n   362→\n   363→\texists, valid := user.HasValidRole(oldRole)\n   364→\n   365→\tif !valid {\n   366→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n   367→\t}\n   368→\tif !exists {\n   369→\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n   370→\t}\n   371→\n   372→\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n   373→\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n   374→\t}\n   375→\n   376→\tvar newroles []string\n   377→\tfor _, r := range user.Roles {\n   378→\t\tif r != oldRole {\n   379→\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n   380→\t\t}\n   381→\t}\n   382→\n   383→\tmroles, _ := json.Marshal(newroles)\n   384→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n   385→\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n   386→\t\treturn err\n   387→\t}\n   388→\treturn nil\n   389→}\n   390→\n   391→// AddProject assigns a project to a manager user.\n   392→// Only users with the \"manager\" role can have assigned projects.\n   393→//\n   394→// Returns error if:\n   395→//   - User doesn't have manager role\n   396→//   - User already manages the project\n   397→func (r *UserRepository) AddProject(\n   398→\tctx context.Context,\n   399→\tusername string,\n   400→\tproject string,\n   401→) error {\n   402→\tuser, err := r.GetUser(username)\n   403→\tif err != nil {\n   404→\t\treturn err\n   405→\t}\n   406→\n   407→\tif !user.HasRole(schema.RoleManager) {\n   408→\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n   409→\t}\n   410→\n   411→\tif user.HasProject(project) {\n   412→\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n   413→\t}\n   414→\n   415→\tprojects, _ := json.Marshal(append(user.Projects, project))\n   416→\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n   417→\t\treturn err\n   418→\t}\n   419→\n   420→\treturn nil\n   421→}\n   422→\n   423→func (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n   424→\tuser, err := r.GetUser(username)\n   425→\tif err != nil {\n   426→\t\treturn err\n   427→\t}\n   428→\n   429→\tif !user.HasRole(schema.RoleManager) {\n   430→\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n   431→\t}\n   432→\n   433→\tif !user.HasProject(project) {\n   434→\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n   435→\t}\n   436→\n   437→\tvar exists bool\n   438→\tvar newprojects []string\n   439→\tfor _, p := range user.Projects {\n   440→\t\tif p != project {\n   441→\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n   442→\t\t} else {\n   443→\t\t\texists = true\n   444→\t\t}\n   445→\t}\n   446→\n   447→\tif exists {\n   448→\t\tvar result any\n   449→\t\tif len(newprojects) == 0 {\n   450→\t\t\tresult = \"[]\"\n   451→\t\t} else {\n   452→\t\t\tresult, _ = json.Marshal(newprojects)\n   453→\t\t}\n   454→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n   455→\t\t\treturn err\n   456→\t\t}\n   457→\t\treturn nil\n   458→\t} else {\n   459→\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n   460→\t}\n   461→}\n   462→\n   463→type ContextKey string\n   464→\n   465→const ContextUserKey ContextKey = \"user\"\n   466→\n   467→func GetUserFromContext(ctx context.Context) *schema.User {\n   468→\tx := ctx.Value(ContextUserKey)\n   469→\tif x == nil {\n   470→\t\tcclog.Warnf(\"no user retrieved from context\")\n   471→\t\treturn nil\n   472→\t}\n   473→\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n   474→\treturn x.(*schema.User)\n   475→}\n   476→\n   477→func (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n   478→\tme := GetUserFromContext(ctx)\n   479→\tif me != nil && me.Username != username &&\n   480→\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n   481→\t\treturn nil, errors.New(\"forbidden\")\n   482→\t}\n   483→\n   484→\tuser := &model.User{Username: username}\n   485→\tvar name, email sql.NullString\n   486→\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n   487→\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n   488→\t\tif err == sql.ErrNoRows {\n   489→\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n   490→\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n   491→\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n   492→\t\t\treturn nil, nil\n   493→\t\t}\n   494→\n   495→\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n   496→\t\treturn nil, err\n   497→\t}\n   498→\n   499→\tuser.Name = name.String\n   500→\tuser.Email = email.String\n   501→\treturn user, nil\n   502→}\n   503→"}]},"uuid":"26e7307a-8d39-4350-a911-4c4d39002d8f","timestamp":"2026-03-16T10:12:42.250Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"reflect\"\n\t\"strings\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"golang.org/x/crypto/bcrypt\"\n)\n\n// Authentication and Role System:\n//\n// ClusterCockpit supports multiple authentication sources:\n//   - Local: Username/password stored in database (password hashed with bcrypt)\n//   - LDAP: External LDAP/Active Directory authentication\n//   - JWT: Token-based authentication for API access\n//\n// Role Hierarchy (from highest to lowest privilege):\n//   1. \"admin\" - Full system access, can manage all users and jobs\n//   2. \"support\" - Can view all jobs but limited management capabilities\n//   3. \"manager\" - Can manage specific projects and their users\n//   4. \"api\" - Programmatic access for job submission/management\n//   5. \"user\" - Default role, can only view own jobs\n//\n// Project Association:\n//   - Managers have a list of projects they oversee\n//   - Regular users' project membership is determined by job data\n//   - Managers can view/manage all jobs within their projects\n\nvar (\n\tuserRepoOnce     sync.Once\n\tuserRepoInstance *UserRepository\n)\n\ntype UserRepository struct {\n\tDB     *sqlx.DB\n\tdriver string\n}\n\nfunc GetUserRepository() *UserRepository {\n\tuserRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tuserRepoInstance = &UserRepository{\n\t\t\tDB:     db.DB,\n\t\t\tdriver: db.Driver,\n\t\t}\n\t})\n\treturn userRepoInstance\n}\n\n// GetUser retrieves a user by username from the database.\n// Returns the complete user record including hashed password, roles, and projects.\n// Password field contains bcrypt hash for local auth users, empty for LDAP users.\nfunc (r *UserRepository) GetUser(username string) (*schema.User, error) {\n\tuser := &schema.User{Username: username}\n\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Password = hashedPassword.String\n\tuser.Name = name.String\n\tuser.Email = email.String\n\tif rawRoles.Valid {\n\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\tif rawProjects.Valid {\n\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn user, nil\n}\n\nfunc (r *UserRepository) GetLdapUsernames() ([]string, error) {\n\tvar users []string\n\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying usernames\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar username string\n\t\tif err := rows.Scan(&username); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tusers = append(users, username)\n\t}\n\n\treturn users, nil\n}\n\n// AddUser creates a new user in the database.\n// Passwords are automatically hashed with bcrypt before storage.\n// Auth source determines authentication method (local, LDAP, etc.).\n//\n// Required fields: Username, Roles\n// Optional fields: Name, Email, Password, Projects, AuthSource\nfunc (r *UserRepository) AddUser(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := []string{\"username\", \"roles\", \"projects\"}\n\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n\n\tif user.Name != \"\" {\n\t\tcols = append(cols, \"name\")\n\t\tvals = append(vals, user.Name)\n\t}\n\tif user.Email != \"\" {\n\t\tcols = append(cols, \"email\")\n\t\tvals = append(vals, user.Email)\n\t}\n\tif user.Password != \"\" {\n\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"Error while encrypting new user password\")\n\t\t\treturn err\n\t\t}\n\t\tcols = append(cols, \"password\")\n\t\tvals = append(vals, string(password))\n\t}\n\tif user.AuthSource != -1 {\n\t\tcols = append(cols, \"ldap\")\n\t\tvals = append(vals, int(user.AuthSource))\n\t}\n\n\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n\t\treturn err\n\t}\n\n\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n\n\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n\t} else if defaultMetricsCfg != nil {\n\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n\t\t\tif _, err := sq.Insert(\"configuration\").\n\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n\t\t\t} else {\n\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n\t\t\t}\n\t\t}\n\t}\n\t// END DEPRECATION\n\n\treturn nil\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n\t// user contains updated info -> Apply to dbUser\n\t// --- Simple Name Update ---\n\tif dbUser.Name != user.Name {\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Def Helpers ---\n\t// Helper to update roles\n\tupdateRoles := func(roles []string) error {\n\t\trolesJSON, _ := json.Marshal(roles)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to update projects\n\tupdateProjects := func(projects []string) error {\n\t\tprojectsJSON, _ := json.Marshal(projects)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to clear projects\n\tclearProjects := func() error {\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// --- Manager Role Handling ---\n\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n\t\t// Existing Manager: update projects\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Manager: update roles and projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n\t\t// Remove Manager: update roles and clear projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := clearProjects(); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Support Role Handling ---\n\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t// Remove Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) DelUser(username string) error {\n\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted user '%s' from DB\", username)\n\treturn nil\n}\n\nfunc (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n\tif specialsOnly {\n\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n\t}\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying user list\")\n\t\treturn nil, err\n\t}\n\n\tusers := make([]*schema.User, 0)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\trawroles := \"\"\n\t\trawprojects := \"\"\n\t\tuser := &schema.User{}\n\t\tvar name, email sql.NullString\n\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning user list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tuser.Name = name.String\n\t\tuser.Email = email.String\n\t\tusers = append(users, user)\n\t}\n\treturn users, nil\n}\n\n// AddRole adds a role to a user's role list.\n// Role string is automatically lowercased.\n// Valid roles: admin, support, manager, api, user\n//\n// Returns error if:\n//   - User doesn't exist\n//   - Role is invalid\n//   - User already has the role\nfunc (r *UserRepository) AddRole(\n\tctx context.Context,\n\tusername string,\n\tqueryrole string,\n) error {\n\tnewRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(newRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n\t}\n\tif exists {\n\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n\t}\n\n\troles, _ := json.Marshal(append(user.Roles, newRole))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// RemoveRole removes a role from a user's role list.\n//\n// Special rules:\n//   - Cannot remove \"manager\" role while user has assigned projects\n//   - Must remove all projects first before removing manager role\nfunc (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n\toldRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(oldRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n\t}\n\tif !exists {\n\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n\t}\n\n\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n\t}\n\n\tvar newroles []string\n\tfor _, r := range user.Roles {\n\t\tif r != oldRole {\n\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n\t\t}\n\t}\n\n\tmroles, _ := json.Marshal(newroles)\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// AddProject assigns a project to a manager user.\n// Only users with the \"manager\" role can have assigned projects.\n//\n// Returns error if:\n//   - User doesn't have manager role\n//   - User already manages the project\nfunc (r *UserRepository) AddProject(\n\tctx context.Context,\n\tusername string,\n\tproject string,\n) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n\t}\n\n\tif user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n\t}\n\n\tprojects, _ := json.Marshal(append(user.Projects, project))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n\t}\n\n\tif !user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n\t}\n\n\tvar exists bool\n\tvar newprojects []string\n\tfor _, p := range user.Projects {\n\t\tif p != project {\n\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n\t\t} else {\n\t\t\texists = true\n\t\t}\n\t}\n\n\tif exists {\n\t\tvar result any\n\t\tif len(newprojects) == 0 {\n\t\t\tresult = \"[]\"\n\t\t} else {\n\t\t\tresult, _ = json.Marshal(newprojects)\n\t\t}\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\t\treturn err\n\t\t}\n\t\treturn nil\n\t} else {\n\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n\t}\n}\n\ntype ContextKey string\n\nconst ContextUserKey ContextKey = \"user\"\n\nfunc GetUserFromContext(ctx context.Context) *schema.User {\n\tx := ctx.Value(ContextUserKey)\n\tif x == nil {\n\t\tcclog.Warnf(\"no user retrieved from context\")\n\t\treturn nil\n\t}\n\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n\treturn x.(*schema.User)\n}\n\nfunc (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n\tme := GetUserFromContext(ctx)\n\tif me != nil && me.Username != username &&\n\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"forbidden\")\n\t}\n\n\tuser := &model.User{Username: username}\n\tvar name, email sql.NullString\n\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n\t\t\treturn nil, nil\n\t\t}\n\n\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Name = name.String\n\tuser.Email = email.String\n\treturn user, nil\n}\n","numLines":503,"startLine":1,"totalLines":503}},"sourceToolAssistantUUID":"ab33adee-9926-4c38-af68-7a0b5d885ff8","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"794d5b22-e6b4-461a-8b60-f67f3e47e371","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01ScKNjBXsx7mQEXVVigVhmt","toolUseID":"toolu_01ScKNjBXsx7mQEXVVigVhmt","timestamp":"2026-03-16T10:12:42.716Z","uuid":"5244ba36-70c4-4a68-9b01-d3cd9e9c9030","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"794d5b22-e6b4-461a-8b60-f67f3e47e371","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ScKNjBXsx7mQEXVVigVhmt","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package auth\n     7→\n     8→import (\n     9→\t\"fmt\"\n    10→\t\"net\"\n    11→\t\"net/http\"\n    12→\t\"os\"\n    13→\t\"strings\"\n    14→\t\"time\"\n    15→\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    17→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    18→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    19→\t\"github.com/go-ldap/ldap/v3\"\n    20→)\n    21→\n    22→type LdapConfig struct {\n    23→\tURL             string `json:\"url\"`\n    24→\tUserBase        string `json:\"user-base\"`\n    25→\tSearchDN        string `json:\"search-dn\"`\n    26→\tUserBind        string `json:\"user-bind\"`\n    27→\tUserFilter      string `json:\"user-filter\"`\n    28→\tUserAttr        string `json:\"username-attr\"`\n    29→\tUIDAttr         string `json:\"uid-attr\"`\n    30→\tSyncInterval    string `json:\"sync-interval\"` // Parsed using time.ParseDuration.\n    31→\tSyncDelOldUsers bool   `json:\"sync-del-old-users\"`\n    32→\n    33→\t// Should a non-existent user be added to the DB if user exists in ldap directory\n    34→\tSyncUserOnLogin   bool `json:\"sync-user-on-login\"`\n    35→\tUpdateUserOnLogin bool `json:\"update-user-on-login\"`\n    36→}\n    37→\n    38→type LdapAuthenticator struct {\n    39→\tsyncPassword string\n    40→\tUserAttr     string\n    41→\tUIDAttr      string\n    42→}\n    43→\n    44→var _ Authenticator = (*LdapAuthenticator)(nil)\n    45→\n    46→func (la *LdapAuthenticator) Init() error {\n    47→\tla.syncPassword = os.Getenv(\"LDAP_ADMIN_PASSWORD\")\n    48→\tif la.syncPassword == \"\" {\n    49→\t\tcclog.Warn(\"environment variable 'LDAP_ADMIN_PASSWORD' not set (ldap sync will not work)\")\n    50→\t}\n    51→\n    52→\tif Keys.LdapConfig.UserAttr != \"\" {\n    53→\t\tla.UserAttr = Keys.LdapConfig.UserAttr\n    54→\t} else {\n    55→\t\tla.UserAttr = \"gecos\"\n    56→\t}\n    57→\n    58→\tif Keys.LdapConfig.UIDAttr != \"\" {\n    59→\t\tla.UIDAttr = Keys.LdapConfig.UIDAttr\n    60→\t} else {\n    61→\t\tla.UIDAttr = \"uid\"\n    62→\t}\n    63→\n    64→\treturn nil\n    65→}\n    66→\n    67→func (la *LdapAuthenticator) CanLogin(\n    68→\tuser *schema.User,\n    69→\tusername string,\n    70→\trw http.ResponseWriter,\n    71→\tr *http.Request,\n    72→) (*schema.User, bool) {\n    73→\tlc := Keys.LdapConfig\n    74→\n    75→\tif user != nil {\n    76→\t\tif user.AuthSource == schema.AuthViaLDAP {\n    77→\t\t\treturn user, true\n    78→\t\t}\n    79→\t} else if lc.SyncUserOnLogin {\n    80→\t\tl, err := la.getLdapConnection(true)\n    81→\t\tif err != nil {\n    82→\t\t\tcclog.Error(\"LDAP connection error\")\n    83→\t\t\treturn nil, false\n    84→\t\t}\n    85→\t\tdefer l.Close()\n    86→\n    87→\t\t// Search for the given username\n    88→\t\tsearchRequest := ldap.NewSearchRequest(\n    89→\t\t\tlc.UserBase,\n    90→\t\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n    91→\t\t\tfmt.Sprintf(\"(&%s(%s=%s))\", lc.UserFilter, la.UIDAttr, ldap.EscapeFilter(username)),\n    92→\t\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil)\n    93→\n    94→\t\tsr, err := l.Search(searchRequest)\n    95→\t\tif err != nil {\n    96→\t\t\tcclog.Warn(err)\n    97→\t\t\treturn nil, false\n    98→\t\t}\n    99→\n   100→\t\tif len(sr.Entries) != 1 {\n   101→\t\t\tcclog.Warn(\"LDAP: User does not exist or too many entries returned\")\n   102→\t\t\treturn nil, false\n   103→\t\t}\n   104→\n   105→\t\tentry := sr.Entries[0]\n   106→\t\tuser = &schema.User{\n   107→\t\t\tUsername:   username,\n   108→\t\t\tName:       entry.GetAttributeValue(la.UserAttr),\n   109→\t\t\tRoles:      []string{schema.GetRoleString(schema.RoleUser)},\n   110→\t\t\tProjects:   make([]string, 0),\n   111→\t\t\tAuthType:   schema.AuthSession,\n   112→\t\t\tAuthSource: schema.AuthViaLDAP,\n   113→\t\t}\n   114→\n   115→\t\thandleLdapUser(user)\n   116→\t\treturn user, true\n   117→\t}\n   118→\n   119→\treturn nil, false\n   120→}\n   121→\n   122→func (la *LdapAuthenticator) Login(\n   123→\tuser *schema.User,\n   124→\trw http.ResponseWriter,\n   125→\tr *http.Request,\n   126→) (*schema.User, error) {\n   127→\tl, err := la.getLdapConnection(false)\n   128→\tif err != nil {\n   129→\t\tcclog.Warn(\"Error while getting ldap connection\")\n   130→\t\treturn nil, err\n   131→\t}\n   132→\tdefer l.Close()\n   133→\n   134→\tuserDn := strings.ReplaceAll(Keys.LdapConfig.UserBind, \"{username}\", ldap.EscapeDN(user.Username))\n   135→\tif err := l.Bind(userDn, r.FormValue(\"password\")); err != nil {\n   136→\t\tcclog.Errorf(\"AUTH/LDAP > Authentication for user %s failed: %v\",\n   137→\t\t\tuser.Username, err)\n   138→\t\treturn nil, fmt.Errorf(\"Authentication failed\")\n   139→\t}\n   140→\n   141→\treturn user, nil\n   142→}\n   143→\n   144→func (la *LdapAuthenticator) Sync() error {\n   145→\tconst InDB int = 1\n   146→\tconst InLdap int = 2\n   147→\tconst InBoth int = 3\n   148→\tur := repository.GetUserRepository()\n   149→\tlc := Keys.LdapConfig\n   150→\n   151→\tusers := map[string]int{}\n   152→\tusernames, err := ur.GetLdapUsernames()\n   153→\tif err != nil {\n   154→\t\treturn err\n   155→\t}\n   156→\n   157→\tfor _, username := range usernames {\n   158→\t\tusers[username] = InDB\n   159→\t}\n   160→\n   161→\tl, err := la.getLdapConnection(true)\n   162→\tif err != nil {\n   163→\t\tcclog.Error(\"LDAP connection error\")\n   164→\t\treturn err\n   165→\t}\n   166→\tdefer l.Close()\n   167→\n   168→\tldapResults, err := l.Search(ldap.NewSearchRequest(\n   169→\t\tlc.UserBase,\n   170→\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n   171→\t\tlc.UserFilter,\n   172→\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil))\n   173→\tif err != nil {\n   174→\t\tcclog.Warn(\"LDAP search error\")\n   175→\t\treturn err\n   176→\t}\n   177→\n   178→\tnewnames := map[string]string{}\n   179→\tfor _, entry := range ldapResults.Entries {\n   180→\t\tusername := entry.GetAttributeValue(la.UIDAttr)\n   181→\t\tif username == \"\" {\n   182→\t\t\treturn fmt.Errorf(\"no attribute '%s'\", la.UIDAttr)\n   183→\t\t}\n   184→\n   185→\t\t_, ok := users[username]\n   186→\t\tif !ok {\n   187→\t\t\tusers[username] = InLdap\n   188→\t\t\tnewnames[username] = entry.GetAttributeValue(la.UserAttr)\n   189→\t\t} else {\n   190→\t\t\tusers[username] = InBoth\n   191→\t\t}\n   192→\t}\n   193→\n   194→\tfor username, where := range users {\n   195→\t\tif where == InDB && lc.SyncDelOldUsers {\n   196→\t\t\tif err := ur.DelUser(username); err != nil {\n   197→\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Delete from DB failed: %v\", username, err)\n   198→\t\t\t\treturn err\n   199→\t\t\t}\n   200→\t\t\tcclog.Debugf(\"sync: remove %v (does not show up in LDAP anymore)\", username)\n   201→\t\t} else if where == InLdap {\n   202→\t\t\tname := newnames[username]\n   203→\n   204→\t\t\tuser := &schema.User{\n   205→\t\t\t\tUsername:   username,\n   206→\t\t\t\tName:       name,\n   207→\t\t\t\tRoles:      []string{schema.GetRoleString(schema.RoleUser)},\n   208→\t\t\t\tProjects:   make([]string, 0),\n   209→\t\t\t\tAuthSource: schema.AuthViaLDAP,\n   210→\t\t\t}\n   211→\n   212→\t\t\tcclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)\n   213→\t\t\tif err := ur.AddUser(user); err != nil {\n   214→\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)\n   215→\t\t\t\treturn err\n   216→\t\t\t}\n   217→\t\t}\n   218→\t}\n   219→\n   220→\treturn nil\n   221→}\n   222→\n   223→func (la *LdapAuthenticator) getLdapConnection(admin bool) (*ldap.Conn, error) {\n   224→\tlc := Keys.LdapConfig\n   225→\tconn, err := ldap.DialURL(lc.URL,\n   226→\t\tldap.DialWithDialer(&net.Dialer{Timeout: 10 * time.Second}))\n   227→\tif err != nil {\n   228→\t\tcclog.Warn(\"LDAP URL dial failed\")\n   229→\t\treturn nil, err\n   230→\t}\n   231→\tconn.SetTimeout(30 * time.Second)\n   232→\n   233→\tif admin {\n   234→\t\tif err := conn.Bind(lc.SearchDN, la.syncPassword); err != nil {\n   235→\t\t\tconn.Close()\n   236→\t\t\tcclog.Warn(\"LDAP connection bind failed\")\n   237→\t\t\treturn nil, err\n   238→\t\t}\n   239→\t}\n   240→\n   241→\treturn conn, nil\n   242→}\n   243→"}]},"uuid":"88e19298-997f-4e34-93a8-9b98c3bbbe57","timestamp":"2026-03-16T10:12:42.716Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/auth/ldap.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage auth\n\nimport (\n\t\"fmt\"\n\t\"net\"\n\t\"net/http\"\n\t\"os\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/go-ldap/ldap/v3\"\n)\n\ntype LdapConfig struct {\n\tURL             string `json:\"url\"`\n\tUserBase        string `json:\"user-base\"`\n\tSearchDN        string `json:\"search-dn\"`\n\tUserBind        string `json:\"user-bind\"`\n\tUserFilter      string `json:\"user-filter\"`\n\tUserAttr        string `json:\"username-attr\"`\n\tUIDAttr         string `json:\"uid-attr\"`\n\tSyncInterval    string `json:\"sync-interval\"` // Parsed using time.ParseDuration.\n\tSyncDelOldUsers bool   `json:\"sync-del-old-users\"`\n\n\t// Should a non-existent user be added to the DB if user exists in ldap directory\n\tSyncUserOnLogin   bool `json:\"sync-user-on-login\"`\n\tUpdateUserOnLogin bool `json:\"update-user-on-login\"`\n}\n\ntype LdapAuthenticator struct {\n\tsyncPassword string\n\tUserAttr     string\n\tUIDAttr      string\n}\n\nvar _ Authenticator = (*LdapAuthenticator)(nil)\n\nfunc (la *LdapAuthenticator) Init() error {\n\tla.syncPassword = os.Getenv(\"LDAP_ADMIN_PASSWORD\")\n\tif la.syncPassword == \"\" {\n\t\tcclog.Warn(\"environment variable 'LDAP_ADMIN_PASSWORD' not set (ldap sync will not work)\")\n\t}\n\n\tif Keys.LdapConfig.UserAttr != \"\" {\n\t\tla.UserAttr = Keys.LdapConfig.UserAttr\n\t} else {\n\t\tla.UserAttr = \"gecos\"\n\t}\n\n\tif Keys.LdapConfig.UIDAttr != \"\" {\n\t\tla.UIDAttr = Keys.LdapConfig.UIDAttr\n\t} else {\n\t\tla.UIDAttr = \"uid\"\n\t}\n\n\treturn nil\n}\n\nfunc (la *LdapAuthenticator) CanLogin(\n\tuser *schema.User,\n\tusername string,\n\trw http.ResponseWriter,\n\tr *http.Request,\n) (*schema.User, bool) {\n\tlc := Keys.LdapConfig\n\n\tif user != nil {\n\t\tif user.AuthSource == schema.AuthViaLDAP {\n\t\t\treturn user, true\n\t\t}\n\t} else if lc.SyncUserOnLogin {\n\t\tl, err := la.getLdapConnection(true)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"LDAP connection error\")\n\t\t\treturn nil, false\n\t\t}\n\t\tdefer l.Close()\n\n\t\t// Search for the given username\n\t\tsearchRequest := ldap.NewSearchRequest(\n\t\t\tlc.UserBase,\n\t\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n\t\t\tfmt.Sprintf(\"(&%s(%s=%s))\", lc.UserFilter, la.UIDAttr, ldap.EscapeFilter(username)),\n\t\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil)\n\n\t\tsr, err := l.Search(searchRequest)\n\t\tif err != nil {\n\t\t\tcclog.Warn(err)\n\t\t\treturn nil, false\n\t\t}\n\n\t\tif len(sr.Entries) != 1 {\n\t\t\tcclog.Warn(\"LDAP: User does not exist or too many entries returned\")\n\t\t\treturn nil, false\n\t\t}\n\n\t\tentry := sr.Entries[0]\n\t\tuser = &schema.User{\n\t\t\tUsername:   username,\n\t\t\tName:       entry.GetAttributeValue(la.UserAttr),\n\t\t\tRoles:      []string{schema.GetRoleString(schema.RoleUser)},\n\t\t\tProjects:   make([]string, 0),\n\t\t\tAuthType:   schema.AuthSession,\n\t\t\tAuthSource: schema.AuthViaLDAP,\n\t\t}\n\n\t\thandleLdapUser(user)\n\t\treturn user, true\n\t}\n\n\treturn nil, false\n}\n\nfunc (la *LdapAuthenticator) Login(\n\tuser *schema.User,\n\trw http.ResponseWriter,\n\tr *http.Request,\n) (*schema.User, error) {\n\tl, err := la.getLdapConnection(false)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting ldap connection\")\n\t\treturn nil, err\n\t}\n\tdefer l.Close()\n\n\tuserDn := strings.ReplaceAll(Keys.LdapConfig.UserBind, \"{username}\", ldap.EscapeDN(user.Username))\n\tif err := l.Bind(userDn, r.FormValue(\"password\")); err != nil {\n\t\tcclog.Errorf(\"AUTH/LDAP > Authentication for user %s failed: %v\",\n\t\t\tuser.Username, err)\n\t\treturn nil, fmt.Errorf(\"Authentication failed\")\n\t}\n\n\treturn user, nil\n}\n\nfunc (la *LdapAuthenticator) Sync() error {\n\tconst InDB int = 1\n\tconst InLdap int = 2\n\tconst InBoth int = 3\n\tur := repository.GetUserRepository()\n\tlc := Keys.LdapConfig\n\n\tusers := map[string]int{}\n\tusernames, err := ur.GetLdapUsernames()\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tfor _, username := range usernames {\n\t\tusers[username] = InDB\n\t}\n\n\tl, err := la.getLdapConnection(true)\n\tif err != nil {\n\t\tcclog.Error(\"LDAP connection error\")\n\t\treturn err\n\t}\n\tdefer l.Close()\n\n\tldapResults, err := l.Search(ldap.NewSearchRequest(\n\t\tlc.UserBase,\n\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n\t\tlc.UserFilter,\n\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil))\n\tif err != nil {\n\t\tcclog.Warn(\"LDAP search error\")\n\t\treturn err\n\t}\n\n\tnewnames := map[string]string{}\n\tfor _, entry := range ldapResults.Entries {\n\t\tusername := entry.GetAttributeValue(la.UIDAttr)\n\t\tif username == \"\" {\n\t\t\treturn fmt.Errorf(\"no attribute '%s'\", la.UIDAttr)\n\t\t}\n\n\t\t_, ok := users[username]\n\t\tif !ok {\n\t\t\tusers[username] = InLdap\n\t\t\tnewnames[username] = entry.GetAttributeValue(la.UserAttr)\n\t\t} else {\n\t\t\tusers[username] = InBoth\n\t\t}\n\t}\n\n\tfor username, where := range users {\n\t\tif where == InDB && lc.SyncDelOldUsers {\n\t\t\tif err := ur.DelUser(username); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Delete from DB failed: %v\", username, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tcclog.Debugf(\"sync: remove %v (does not show up in LDAP anymore)\", username)\n\t\t} else if where == InLdap {\n\t\t\tname := newnames[username]\n\n\t\t\tuser := &schema.User{\n\t\t\t\tUsername:   username,\n\t\t\t\tName:       name,\n\t\t\t\tRoles:      []string{schema.GetRoleString(schema.RoleUser)},\n\t\t\t\tProjects:   make([]string, 0),\n\t\t\t\tAuthSource: schema.AuthViaLDAP,\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)\n\t\t\tif err := ur.AddUser(user); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (la *LdapAuthenticator) getLdapConnection(admin bool) (*ldap.Conn, error) {\n\tlc := Keys.LdapConfig\n\tconn, err := ldap.DialURL(lc.URL,\n\t\tldap.DialWithDialer(&net.Dialer{Timeout: 10 * time.Second}))\n\tif err != nil {\n\t\tcclog.Warn(\"LDAP URL dial failed\")\n\t\treturn nil, err\n\t}\n\tconn.SetTimeout(30 * time.Second)\n\n\tif admin {\n\t\tif err := conn.Bind(lc.SearchDN, la.syncPassword); err != nil {\n\t\t\tconn.Close()\n\t\t\tcclog.Warn(\"LDAP connection bind failed\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn conn, nil\n}\n","numLines":243,"startLine":1,"totalLines":243}},"sourceToolAssistantUUID":"794d5b22-e6b4-461a-8b60-f67f3e47e371","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"e001baa9-61e4-45ac-b202-53caad8b525f","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GpAw7qx8NsDwkEM2UaDjvA","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"encoding/json\"\n    10→\t\"fmt\"\n    11→\n    12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    14→\tsq \"github.com/Masterminds/squirrel\"\n    15→)\n    16→\n    17→const NamedJobCacheInsert string = `INSERT INTO job_cache (\n    18→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n    19→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n    20→) VALUES (\n    21→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n    22→  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n    23→);`\n    24→\n    25→const NamedJobInsert string = `INSERT INTO job (\n    26→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n    27→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n    28→) VALUES (\n    29→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n    30→  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n    31→);`\n    32→\n    33→// InsertJobDirect inserts a job directly into the job table (not job_cache).\n    34→// Use this when the returned ID will be used for operations on the job table\n    35→// (e.g., adding tags), or for imported jobs that are already completed.\n    36→func (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n    37→\tr.Mutex.Lock()\n    38→\tdefer r.Mutex.Unlock()\n    39→\n    40→\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n    41→\tif err != nil {\n    42→\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n    43→\t\treturn 0, err\n    44→\t}\n    45→\tid, err := res.LastInsertId()\n    46→\tif err != nil {\n    47→\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n    48→\t\treturn 0, err\n    49→\t}\n    50→\n    51→\treturn id, nil\n    52→}\n    53→\n    54→func (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n    55→\tr.Mutex.Lock()\n    56→\tdefer r.Mutex.Unlock()\n    57→\n    58→\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n    59→\tif err != nil {\n    60→\t\tcclog.Warn(\"Error while NamedJobInsert\")\n    61→\t\treturn 0, err\n    62→\t}\n    63→\tid, err := res.LastInsertId()\n    64→\tif err != nil {\n    65→\t\tcclog.Warn(\"Error while getting last insert ID\")\n    66→\t\treturn 0, err\n    67→\t}\n    68→\n    69→\treturn id, nil\n    70→}\n    71→\n    72→func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n    73→\tr.Mutex.Lock()\n    74→\tdefer r.Mutex.Unlock()\n    75→\n    76→\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n    77→\n    78→\trows, err := query.RunWith(r.stmtCache).Query()\n    79→\tif err != nil {\n    80→\t\tcclog.Errorf(\"Error while running query %v\", err)\n    81→\t\treturn nil, err\n    82→\t}\n    83→\tdefer rows.Close()\n    84→\n    85→\tjobs := make([]*schema.Job, 0, 50)\n    86→\tfor rows.Next() {\n    87→\t\tjob, err := scanJob(rows)\n    88→\t\tif err != nil {\n    89→\t\t\tcclog.Warn(\"Error while scanning rows\")\n    90→\t\t\treturn nil, err\n    91→\t\t}\n    92→\t\tjobs = append(jobs, job)\n    93→\t}\n    94→\n    95→\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n    96→\t_, err = r.DB.Exec(\n    97→\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n    98→\tif err != nil {\n    99→\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n   100→\t\treturn nil, err\n   101→\t}\n   102→\n   103→\t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n   104→\tif err != nil {\n   105→\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n   106→\t\treturn nil, err\n   107→\t}\n   108→\n   109→\t// Resolve correct job.id from the job table. The IDs read from job_cache\n   110→\t// are from a different auto-increment sequence and must not be used to\n   111→\t// query the job table.\n   112→\tfor _, job := range jobs {\n   113→\t\tvar newID int64\n   114→\t\tif err := sq.Select(\"job.id\").From(\"job\").\n   115→\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n   116→\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n   117→\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n   118→\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n   119→\t\t\t\tjob.JobID, job.Cluster, err)\n   120→\t\t\tcontinue\n   121→\t\t}\n   122→\t\tjob.ID = &newID\n   123→\t}\n   124→\n   125→\treturn jobs, nil\n   126→}\n   127→\n   128→// TransferCachedJobToMain moves a job from job_cache to the job table.\n   129→// Caller must hold r.Mutex. Returns the new job table ID.\n   130→func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n   131→\tres, err := r.DB.Exec(\n   132→\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n   133→\t\tcacheID)\n   134→\tif err != nil {\n   135→\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n   136→\t}\n   137→\n   138→\tnewID, err := res.LastInsertId()\n   139→\tif err != nil {\n   140→\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n   141→\t}\n   142→\n   143→\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n   144→\tif err != nil {\n   145→\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n   146→\t}\n   147→\n   148→\treturn newID, nil\n   149→}\n   150→\n   151→// Start inserts a new job in the table, returning the unique job ID.\n   152→// Statistics are not transfered!\n   153→func (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n   154→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   155→\tif err != nil {\n   156→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n   157→\t}\n   158→\n   159→\tjob.RawResources, err = json.Marshal(job.Resources)\n   160→\tif err != nil {\n   161→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n   162→\t}\n   163→\n   164→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n   165→\tif err != nil {\n   166→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n   167→\t}\n   168→\n   169→\treturn r.InsertJob(job)\n   170→}\n   171→\n   172→// StartDirect inserts a new job directly into the job table (not job_cache).\n   173→// Use this when the returned ID will immediately be used for job table\n   174→// operations such as adding tags.\n   175→func (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n   176→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   177→\tif err != nil {\n   178→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n   179→\t}\n   180→\n   181→\tjob.RawResources, err = json.Marshal(job.Resources)\n   182→\tif err != nil {\n   183→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n   184→\t}\n   185→\n   186→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n   187→\tif err != nil {\n   188→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n   189→\t}\n   190→\n   191→\treturn r.InsertJobDirect(job)\n   192→}\n   193→\n   194→// Stop updates the job with the database id jobId using the provided arguments.\n   195→func (r *JobRepository) Stop(\n   196→\tjobID int64,\n   197→\tduration int32,\n   198→\tstate schema.JobState,\n   199→\tmonitoringStatus int32,\n   200→) (err error) {\n   201→\t// Invalidate cache entries as job state is changing\n   202→\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n   203→\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n   204→\n   205→\tstmt := sq.Update(\"job\").\n   206→\t\tSet(\"job_state\", state).\n   207→\t\tSet(\"duration\", duration).\n   208→\t\tSet(\"monitoring_status\", monitoringStatus).\n   209→\t\tWhere(\"job.id = ?\", jobID)\n   210→\n   211→\t_, err = stmt.RunWith(r.stmtCache).Exec()\n   212→\treturn err\n   213→}\n   214→"}]},"uuid":"b1410bed-082c-4942-bdc0-f810e807e257","timestamp":"2026-03-16T10:12:42.900Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"encoding/json\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst NamedJobCacheInsert string = `INSERT INTO job_cache (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n);`\n\nconst NamedJobInsert string = `INSERT INTO job (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n);`\n\n// InsertJobDirect inserts a job directly into the job table (not job_cache).\n// Use this when the returned ID will be used for operations on the job table\n// (e.g., adding tags), or for imported jobs that are already completed.\nfunc (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = r.DB.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}\n\n// TransferCachedJobToMain moves a job from job_cache to the job table.\n// Caller must hold r.Mutex. Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\treturn newID, nil\n}\n\n// Start inserts a new job in the table, returning the unique job ID.\n// Statistics are not transfered!\nfunc (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJob(job)\n}\n\n// StartDirect inserts a new job directly into the job table (not job_cache).\n// Use this when the returned ID will immediately be used for job table\n// operations such as adding tags.\nfunc (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJobDirect(job)\n}\n\n// Stop updates the job with the database id jobId using the provided arguments.\nfunc (r *JobRepository) Stop(\n\tjobID int64,\n\tduration int32,\n\tstate schema.JobState,\n\tmonitoringStatus int32,\n) (err error) {\n\t// Invalidate cache entries as job state is changing\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n\n\tstmt := sq.Update(\"job\").\n\t\tSet(\"job_state\", state).\n\t\tSet(\"duration\", duration).\n\t\tSet(\"monitoring_status\", monitoringStatus).\n\t\tWhere(\"job.id = ?\", jobID)\n\n\t_, err = stmt.RunWith(r.stmtCache).Exec()\n\treturn err\n}\n","numLines":214,"startLine":1,"totalLines":214}},"sourceToolAssistantUUID":"e001baa9-61e4-45ac-b202-53caad8b525f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport \"time\"\n\n// RepositoryConfig holds configuration for repository operations.\n// All fields have sensible defaults, so this configuration is optional.\ntype RepositoryConfig struct {\n\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n\t// Default: 1MB (1024 * 1024 bytes)\n\tCacheSize int\n\n\t// MaxOpenConnections is the maximum number of open database connections.\n\t// Default: 4\n\tMaxOpenConnections int\n\n\t// MaxIdleConnections is the maximum number of idle database connections.\n\t// Default: 4\n\tMaxIdleConnections int\n\n\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n\t// Default: 1 hour\n\tConnectionMaxLifetime time.Duration\n\n\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n\t// Default: 10 minutes\n\tConnectionMaxIdleTime time.Duration\n\n\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n\t// considered in \"running jobs\" queries. This filters out very short jobs.\n\t// Default: 600 seconds (10 minutes)\n\tMinRunningJobDuration int\n\n\t// DbCacheSizeMB is the SQLite page cache size per connection in MB.\n\t// Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n\t// and DbCacheSizeMB=2048, total page cache is up to 8GB.\n\t// Default: 2048 (2GB)\n\tDbCacheSizeMB int\n\n\t// DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n\t// SQLite will try to release cache pages to stay under this limit.\n\t// It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n\t// Default: 16384 (16GB)\n\tDbSoftHeapLimitMB int\n}\n\n// DefaultConfig returns the default repository configuration.\n// These values are optimized for typical deployments.\nfunc DefaultConfig() *RepositoryConfig {\n\treturn &RepositoryConfig{\n\t\tCacheSize:             1 * 1024 * 1024, // 1MB\n\t\tMaxOpenConnections:    4,\n\t\tMaxIdleConnections:    4,\n\t\tConnectionMaxLifetime: time.Hour,\n\t\tConnectionMaxIdleTime: 10 * time.Minute,\n\t\tMinRunningJobDuration: 600, // 10 minutes\n\t\tDbCacheSizeMB:        2048,  // 2GB per connection\n\t\tDbSoftHeapLimitMB:    16384, // 16GB process-wide\n\t}\n}\n\n// repoConfig is the package-level configuration instance.\n// It is initialized with defaults and can be overridden via SetConfig.\nvar repoConfig *RepositoryConfig = DefaultConfig()\n\n// SetConfig sets the repository configuration.\n// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n// If not called, default values from DefaultConfig() are used.\nfunc SetConfig(cfg *RepositoryConfig) {\n\tif cfg != nil {\n\t\trepoConfig = cfg\n\t}\n}\n\n// GetConfig returns the current repository configuration.\nfunc GetConfig() *RepositoryConfig {\n\treturn repoConfig\n}\n","structuredPatch":[{"oldStart":46,"oldLines":6,"newStart":46,"newLines":12,"lines":["   // It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.","   // Default: 16384 (16GB)","   DbSoftHeapLimitMB int","+","+  // BusyTimeoutMs is the SQLite busy_timeout in milliseconds.","+  // When a write is blocked by another writer, SQLite retries internally","+  // using a backoff mechanism for up to this duration before returning SQLITE_BUSY.","+  // Default: 60000 (60 seconds)","+  BusyTimeoutMs int"," }"," "," // DefaultConfig returns the default repository configuration."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"7f4b63eb-7e62-4753-b51f-b435bf637b0c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"fmt\"\n\t\"net/url\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"github.com/mattn/go-sqlite3\"\n\t\"github.com/qustavo/sqlhooks/v2\"\n)\n\nvar (\n\tdbConnOnce     sync.Once\n\tdbConnInstance *DBConnection\n)\n\ntype DBConnection struct {\n\tDB     *sqlx.DB\n\tDriver string\n}\n\ntype DatabaseOptions struct {\n\tURL                   string\n\tMaxOpenConnections    int\n\tMaxIdleConnections    int\n\tConnectionMaxLifetime time.Duration\n\tConnectionMaxIdleTime time.Duration\n}\n\nfunc setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t\tfmt.Sprintf(\"soft_heap_limit = %d\", int64(cfg.DbSoftHeapLimitMB)*1024*1024),\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc Connect(db string) {\n\tvar err error\n\tvar dbHandle *sqlx.DB\n\n\tdbConnOnce.Do(func() {\n\t\topts := DatabaseOptions{\n\t\t\tURL:                   db,\n\t\t\tMaxOpenConnections:    repoConfig.MaxOpenConnections,\n\t\t\tMaxIdleConnections:    repoConfig.MaxIdleConnections,\n\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n\t\t}\n\n\t\t// TODO: Have separate DB handles for Writes and Reads\n\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n\t\tconnectionURLParams := make(url.Values)\n\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n\t\tcacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\n\t\tconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))\n\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n\n\t\tif cclog.Loglevel() == \"debug\" {\n\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n\t\t} else {\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n\t\t}\n\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\terr = setupSqlite(dbHandle.DB, repoConfig)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tcclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n\t\t\trepoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n\n\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n\t\terr = checkDBVersion(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n\t\t}\n\t})\n}\n\nfunc GetConnection() *DBConnection {\n\tif dbConnInstance == nil {\n\t\tcclog.Fatalf(\"Database connection not initialized!\")\n\t}\n\n\treturn dbConnInstance\n}\n\n// ResetConnection closes the current database connection and resets the connection state.\n// This function is intended for testing purposes only to allow test isolation.\nfunc ResetConnection() error {\n\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n\t\tif err := dbConnInstance.DB.Close(); err != nil {\n\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n\t\t}\n\t}\n\n\tdbConnInstance = nil\n\tdbConnOnce = sync.Once{}\n\tjobRepoInstance = nil\n\tjobRepoOnce = sync.Once{}\n\tnodeRepoInstance = nil\n\tnodeRepoOnce = sync.Once{}\n\tuserRepoInstance = nil\n\tuserRepoOnce = sync.Once{}\n\tuserCfgRepoInstance = nil\n\tuserCfgRepoOnce = sync.Once{}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":70,"oldLines":7,"newStart":70,"newLines":7,"lines":["     connectionURLParams := make(url.Values)","     connectionURLParams.Add(\"_txlock\", \"immediate\")","     connectionURLParams.Add(\"_journal_mode\", \"WAL\")","-    connectionURLParams.Add(\"_busy_timeout\", \"5000\")","+    connectionURLParams.Add(\"_busy_timeout\", fmt.Sprintf(\"%d\", repoConfig.BusyTimeoutMs))","     connectionURLParams.Add(\"_synchronous\", \"NORMAL\")","     cacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB","     connectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"61721dc8-d1c5-4347-931f-d7051b5cc537","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage archive\n\nimport (\n\t\"bytes\"\n\t\"compress/gzip\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"slices\"\n\t\"strconv\"\n\t\"sync\"\n\t\"text/tabwriter\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t_ \"github.com/mattn/go-sqlite3\"\n)\n\n// SqliteArchiveConfig holds the configuration for the SQLite archive backend.\ntype SqliteArchiveConfig struct {\n\tDBPath string `json:\"db-path\"` // Path to SQLite database file\n}\n\n// SqliteArchive implements ArchiveBackend using a SQLite database with BLOB storage.\n// Job metadata and data are stored as JSON BLOBs with indexes for fast queries.\n//\n// Uses WAL (Write-Ahead Logging) mode for better concurrency and a 64MB cache.\ntype SqliteArchive struct {\n\tdb       *sql.DB  // SQLite database connection\n\tclusters []string // List of discovered cluster names\n}\n\n// sqliteSchema defines the database schema for SQLite archive backend.\n// Jobs table: stores job metadata and data as BLOBs with compression flag\n// Clusters table: stores cluster configurations\n// Metadata table: stores version and other key-value pairs\nconst sqliteSchema = `\nCREATE TABLE IF NOT EXISTS jobs (\n    id INTEGER PRIMARY KEY AUTOINCREMENT,\n    job_id INTEGER NOT NULL,\n    cluster TEXT NOT NULL,\n    start_time INTEGER NOT NULL,\n    meta_json BLOB NOT NULL,\n    data_json BLOB,\n    data_compressed BOOLEAN DEFAULT 0,\n    created_at INTEGER NOT NULL,\n    updated_at INTEGER NOT NULL,\n    UNIQUE(job_id, cluster, start_time)\n);\n\nCREATE INDEX IF NOT EXISTS idx_jobs_cluster ON jobs(cluster);\nCREATE INDEX IF NOT EXISTS idx_jobs_start_time ON jobs(start_time);\nCREATE INDEX IF NOT EXISTS idx_jobs_order ON jobs(cluster, start_time);\nCREATE INDEX IF NOT EXISTS idx_jobs_lookup ON jobs(cluster, job_id, start_time);\n\nCREATE TABLE IF NOT EXISTS clusters (\n    name TEXT PRIMARY KEY,\n    config_json BLOB NOT NULL,\n    updated_at INTEGER NOT NULL\n);\n\nCREATE TABLE IF NOT EXISTS metadata (\n    key TEXT PRIMARY KEY,\n    value TEXT NOT NULL\n);\n`\n\nfunc (sa *SqliteArchive) Init(rawConfig json.RawMessage) (uint64, error) {\n\tvar cfg SqliteArchiveConfig\n\tif err := json.Unmarshal(rawConfig, &cfg); err != nil {\n\t\tcclog.Warnf(\"SqliteArchive Init() > Unmarshal error: %#v\", err)\n\t\treturn 0, err\n\t}\n\n\tif cfg.DBPath == \"\" {\n\t\terr := fmt.Errorf(\"SqliteArchive Init(): empty database path\")\n\t\tcclog.Errorf(\"SqliteArchive Init() > config error: %v\", err)\n\t\treturn 0, err\n\t}\n\n\t// Open SQLite database\n\tdb, err := sql.Open(\"sqlite3\", cfg.DBPath)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to open database: %v\", err)\n\t\treturn 0, err\n\t}\n\tsa.db = db\n\n\t// Set pragmas for better performance\n\tpragmas := []string{\n\t\t\"PRAGMA journal_mode=WAL\",\n\t\t\"PRAGMA synchronous=NORMAL\",\n\t\t\"PRAGMA cache_size=-64000\", // 64MB cache\n\t\t\"PRAGMA busy_timeout=5000\",\n\t}\n\tfor _, pragma := range pragmas {\n\t\tif _, err := sa.db.Exec(pragma); err != nil {\n\t\t\tcclog.Warnf(\"SqliteArchive Init() > pragma failed: %v\", err)\n\t\t}\n\t}\n\n\t// Create schema\n\tif _, err := sa.db.Exec(sqliteSchema); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > schema creation failed: %v\", err)\n\t\treturn 0, err\n\t}\n\n\t// Check/set version\n\tvar versionStr string\n\terr = sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'version'\").Scan(&versionStr)\n\tif err == sql.ErrNoRows {\n\t\t// First time initialization, set version\n\t\t_, err = sa.db.Exec(\"INSERT INTO metadata (key, value) VALUES ('version', ?)\", fmt.Sprintf(\"%d\", Version))\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to set version: %v\", err)\n\t\t\treturn 0, err\n\t\t}\n\t\tversionStr = fmt.Sprintf(\"%d\", Version)\n\t} else if err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to read version: %v\", err)\n\t\treturn 0, err\n\t}\n\n\tversion, err := strconv.ParseUint(versionStr, 10, 64)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > version parse error: %v\", err)\n\t\treturn 0, err\n\t}\n\n\tif version != Version {\n\t\treturn version, fmt.Errorf(\"unsupported version %d, need %d\", version, Version)\n\t}\n\n\t// Discover clusters\n\tsa.clusters = []string{}\n\trows, err := sa.db.Query(\"SELECT DISTINCT cluster FROM jobs ORDER BY cluster\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to query clusters: %v\", err)\n\t\treturn 0, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar cluster string\n\t\tif err := rows.Scan(&cluster); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to scan cluster: %v\", err)\n\t\t\tcontinue\n\t\t}\n\t\tsa.clusters = append(sa.clusters, cluster)\n\t}\n\n\tcclog.Infof(\"SqliteArchive initialized with database '%s', found %d clusters\", cfg.DBPath, len(sa.clusters))\n\treturn version, nil\n}\n\nfunc (sa *SqliteArchive) Info() {\n\tfmt.Printf(\"SQLite Job archive database\\n\")\n\n\tci := make(map[string]*clusterInfo)\n\n\trows, err := sa.db.Query(`\n\t\tSELECT cluster, COUNT(*), MIN(start_time), MAX(start_time),\n\t\t       SUM(LENGTH(meta_json) + COALESCE(LENGTH(data_json), 0))\n\t\tFROM jobs\n\t\tGROUP BY cluster\n\t`)\n\tif err != nil {\n\t\tcclog.Fatalf(\"SqliteArchive Info() > query failed: %s\", err.Error())\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar cluster string\n\t\tvar numJobs int\n\t\tvar dateFirst, dateLast int64\n\t\tvar diskSize int64\n\n\t\tif err := rows.Scan(&cluster, &numJobs, &dateFirst, &dateLast, &diskSize); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Info() > scan failed: %v\", err)\n\t\t\tcontinue\n\t\t}\n\n\t\tci[cluster] = &clusterInfo{\n\t\t\tnumJobs:   numJobs,\n\t\t\tdateFirst: dateFirst,\n\t\t\tdateLast:  dateLast,\n\t\t\tdiskSize:  float64(diskSize) / (1024 * 1024), // Convert to MB\n\t\t}\n\t}\n\n\tcit := clusterInfo{dateFirst: time.Now().Unix()}\n\tw := tabwriter.NewWriter(os.Stdout, 0, 0, 2, ' ', tabwriter.Debug)\n\tfmt.Fprintln(w, \"cluster\\t#jobs\\tfrom\\tto\\tsize (MB)\")\n\tfor cluster, clusterInfo := range ci {\n\t\tfmt.Fprintf(w, \"%s\\t%d\\t%s\\t%s\\t%.2f\\n\", cluster,\n\t\t\tclusterInfo.numJobs,\n\t\t\ttime.Unix(clusterInfo.dateFirst, 0),\n\t\t\ttime.Unix(clusterInfo.dateLast, 0),\n\t\t\tclusterInfo.diskSize)\n\n\t\tcit.numJobs += clusterInfo.numJobs\n\t\tcit.dateFirst = util.Min(cit.dateFirst, clusterInfo.dateFirst)\n\t\tcit.dateLast = util.Max(cit.dateLast, clusterInfo.dateLast)\n\t\tcit.diskSize += clusterInfo.diskSize\n\t}\n\n\tfmt.Fprintf(w, \"TOTAL\\t%d\\t%s\\t%s\\t%.2f\\n\",\n\t\tcit.numJobs, time.Unix(cit.dateFirst, 0), time.Unix(cit.dateLast, 0), cit.diskSize)\n\tw.Flush()\n}\n\nfunc (sa *SqliteArchive) Exists(job *schema.Job) bool {\n\tvar count int\n\terr := sa.db.QueryRow(\"SELECT COUNT(*) FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&count)\n\treturn err == nil && count > 0\n}\n\nfunc (sa *SqliteArchive) LoadJobMeta(job *schema.Job) (*schema.Job, error) {\n\tvar metaBlob []byte\n\terr := sa.db.QueryRow(\"SELECT meta_json FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&metaBlob)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobMeta() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif config.Keys.Validate {\n\t\tif err := schema.Validate(schema.Meta, bytes.NewReader(metaBlob)); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"validate job meta: %v\", err)\n\t\t}\n\t}\n\n\treturn DecodeJobMeta(bytes.NewReader(metaBlob))\n}\n\nfunc (sa *SqliteArchive) LoadJobData(job *schema.Job) (schema.JobData, error) {\n\tvar dataBlob []byte\n\tvar compressed bool\n\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\n\tvar reader io.Reader = bytes.NewReader(dataBlob)\n\tif compressed {\n\t\tgzipReader, err := gzip.NewReader(reader)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > gzip error: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\tdefer gzipReader.Close()\n\t\treader = gzipReader\n\t}\n\n\tif config.Keys.Validate {\n\t\tdata, _ := io.ReadAll(reader)\n\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n\t\t\treturn schema.JobData{}, fmt.Errorf(\"validate job data: %v\", err)\n\t\t}\n\t\treturn DecodeJobData(bytes.NewReader(data), key)\n\t}\n\n\treturn DecodeJobData(reader, key)\n}\n\nfunc (sa *SqliteArchive) LoadJobStats(job *schema.Job) (schema.ScopedJobStats, error) {\n\tvar dataBlob []byte\n\tvar compressed bool\n\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\n\tvar reader io.Reader = bytes.NewReader(dataBlob)\n\tif compressed {\n\t\tgzipReader, err := gzip.NewReader(reader)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > gzip error: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\tdefer gzipReader.Close()\n\t\treader = gzipReader\n\t}\n\n\tif config.Keys.Validate {\n\t\tdata, _ := io.ReadAll(reader)\n\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"validate job data: %v\", err)\n\t\t}\n\t\treturn DecodeJobStats(bytes.NewReader(data), key)\n\t}\n\n\treturn DecodeJobStats(reader, key)\n}\n\nfunc (sa *SqliteArchive) LoadClusterCfg(name string) (*schema.Cluster, error) {\n\tvar configBlob []byte\n\terr := sa.db.QueryRow(\"SELECT config_json FROM clusters WHERE name = ?\", name).Scan(&configBlob)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadClusterCfg() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif config.Keys.Validate {\n\t\tif err := schema.Validate(schema.ClusterCfg, bytes.NewReader(configBlob)); err != nil {\n\t\t\tcclog.Warnf(\"Validate cluster config: %v\\n\", err)\n\t\t\treturn &schema.Cluster{}, fmt.Errorf(\"validate cluster config: %v\", err)\n\t\t}\n\t}\n\n\treturn DecodeCluster(bytes.NewReader(configBlob))\n}\n\nfunc (sa *SqliteArchive) StoreJobMeta(job *schema.Job) error {\n\tvar metaBuf bytes.Buffer\n\tif err := EncodeJobMeta(&metaBuf, job); err != nil {\n\t\tcclog.Error(\"SqliteArchive StoreJobMeta() > encoding error\")\n\t\treturn err\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, created_at, updated_at)\n\t\tVALUES (?, ?, ?, ?, ?, ?)\n\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n\t\t\tmeta_json = excluded.meta_json,\n\t\t\tupdated_at = excluded.updated_at\n\t`, job.JobID, job.Cluster, job.StartTime, metaBuf.Bytes(), now, now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive StoreJobMeta() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (sa *SqliteArchive) ImportJob(jobMeta *schema.Job, jobData *schema.JobData) error {\n\tvar metaBuf, dataBuf bytes.Buffer\n\tif err := EncodeJobMeta(&metaBuf, jobMeta); err != nil {\n\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding meta error\")\n\t\treturn err\n\t}\n\tif err := EncodeJobData(&dataBuf, jobData); err != nil {\n\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding data error\")\n\t\treturn err\n\t}\n\n\tvar dataBytes []byte\n\tvar compressed bool\n\n\tif dataBuf.Len() > 2000 {\n\t\tvar compressedBuf bytes.Buffer\n\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n\t\tif _, err := gzipWriter.Write(dataBuf.Bytes()); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip write error: %v\", err)\n\t\t\treturn err\n\t\t}\n\t\tif err := gzipWriter.Close(); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip close error: %v\", err)\n\t\t\treturn err\n\t\t}\n\t\tdataBytes = compressedBuf.Bytes()\n\t\tcompressed = true\n\t} else {\n\t\tdataBytes = dataBuf.Bytes()\n\t\tcompressed = false\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, data_json, data_compressed, created_at, updated_at)\n\t\tVALUES (?, ?, ?, ?, ?, ?, ?, ?)\n\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n\t\t\tmeta_json = excluded.meta_json,\n\t\t\tdata_json = excluded.data_json,\n\t\t\tdata_compressed = excluded.data_compressed,\n\t\t\tupdated_at = excluded.updated_at\n\t`, jobMeta.JobID, jobMeta.Cluster, jobMeta.StartTime, metaBuf.Bytes(), dataBytes, compressed, now, now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive ImportJob() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (sa *SqliteArchive) GetClusters() []string {\n\treturn sa.clusters\n}\n\nfunc (sa *SqliteArchive) CleanUp(jobs []*schema.Job) {\n\tstart := time.Now()\n\tcount := 0\n\n\ttx, err := sa.db.Begin()\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > transaction error: %v\", err)\n\t\treturn\n\t}\n\tdefer tx.Rollback()\n\n\tstmt, err := tx.Prepare(\"DELETE FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > prepare error: %v\", err)\n\t\treturn\n\t}\n\tdefer stmt.Close()\n\n\tfor _, job := range jobs {\n\t\tif job == nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() error: job is nil\")\n\t\t\tcontinue\n\t\t}\n\n\t\tif _, err := stmt.Exec(job.JobID, job.Cluster, job.StartTime); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() > delete error: %v\", err)\n\t\t} else {\n\t\t\tcount++\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > commit error: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Retention Service - Remove %d jobs from SQLite in %s\", count, time.Since(start))\n}\n\nfunc (sa *SqliteArchive) Move(jobs []*schema.Job, targetPath string) {\n\t// For SQLite, \"move\" means updating the cluster field or similar\n\t// This is interpretation-dependent; for now we'll just log\n\tcclog.Warnf(\"SqliteArchive Move() is not fully implemented - moves within database not applicable\")\n}\n\nfunc (sa *SqliteArchive) Clean(before int64, after int64) {\n\tif after == 0 {\n\t\tafter = math.MaxInt64\n\t}\n\n\tresult, err := sa.db.Exec(\"DELETE FROM jobs WHERE start_time < ? OR start_time > ?\", before, after)\n\tif err != nil {\n\t\tcclog.Fatalf(\"SqliteArchive Clean() > delete error: %s\", err.Error())\n\t}\n\n\trowsAffected, _ := result.RowsAffected()\n\tcclog.Infof(\"SqliteArchive Clean() removed %d jobs\", rowsAffected)\n}\n\nfunc (sa *SqliteArchive) Compress(jobs []*schema.Job) {\n\tvar cnt int\n\tstart := time.Now()\n\n\ttx, err := sa.db.Begin()\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > transaction error: %v\", err)\n\t\treturn\n\t}\n\tdefer tx.Rollback()\n\n\tstmt, err := tx.Prepare(\"UPDATE jobs SET data_json = ?, data_compressed = 1 WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > prepare error: %v\", err)\n\t\treturn\n\t}\n\tdefer stmt.Close()\n\n\tfor _, job := range jobs {\n\t\tvar dataBlob []byte\n\t\tvar compressed bool\n\t\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\t\tif err != nil || compressed || len(dataBlob) < 2000 {\n\t\t\tcontinue // Skip if error, already compressed, or too small\n\t\t}\n\n\t\t// Compress the data\n\t\tvar compressedBuf bytes.Buffer\n\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n\t\tif _, err := gzipWriter.Write(dataBlob); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Compress() > gzip error: %v\", err)\n\t\t\tgzipWriter.Close()\n\t\t\tcontinue\n\t\t}\n\t\tgzipWriter.Close()\n\n\t\tif _, err := stmt.Exec(compressedBuf.Bytes(), job.JobID, job.Cluster, job.StartTime); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Compress() > update error: %v\", err)\n\t\t} else {\n\t\t\tcnt++\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > commit error: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Compression Service - %d jobs in SQLite took %s\", cnt, time.Since(start))\n}\n\nfunc (sa *SqliteArchive) CompressLast(starttime int64) int64 {\n\tvar lastStr string\n\terr := sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'compress_last'\").Scan(&lastStr)\n\n\tvar last int64\n\tif err == sql.ErrNoRows {\n\t\tlast = starttime\n\t} else if err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CompressLast() > query error: %v\", err)\n\t\tlast = starttime\n\t} else {\n\t\tlast, err = strconv.ParseInt(lastStr, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CompressLast() > parse error: %v\", err)\n\t\t\tlast = starttime\n\t\t}\n\t}\n\n\tcclog.Infof(\"SqliteArchive CompressLast() - start %d last %d\", starttime, last)\n\n\t// Update timestamp\n\t_, err = sa.db.Exec(`\n\t\tINSERT INTO metadata (key, value) VALUES ('compress_last', ?)\n\t\tON CONFLICT(key) DO UPDATE SET value = excluded.value\n\t`, fmt.Sprintf(\"%d\", starttime))\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CompressLast() > update error: %v\", err)\n\t}\n\n\treturn last\n}\n\ntype sqliteJobRow struct {\n\tmetaBlob   []byte\n\tdataBlob   []byte\n\tcompressed bool\n}\n\nfunc (sa *SqliteArchive) Iter(loadMetricData bool) <-chan JobContainer {\n\tch := make(chan JobContainer)\n\n\tgo func() {\n\t\tdefer close(ch)\n\n\t\tconst chunkSize = 1000\n\t\toffset := 0\n\n\t\tvar query string\n\t\tif loadMetricData {\n\t\t\tquery = \"SELECT meta_json, data_json, data_compressed FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n\t\t} else {\n\t\t\tquery = \"SELECT meta_json FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n\t\t}\n\n\t\tnumWorkers := 4\n\t\tjobRows := make(chan sqliteJobRow, numWorkers*2)\n\t\tvar wg sync.WaitGroup\n\n\t\tfor range numWorkers {\n\t\t\twg.Go(func() {\n\t\t\t\tfor row := range jobRows {\n\t\t\t\t\tjob, err := DecodeJobMeta(bytes.NewReader(row.metaBlob))\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode meta error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\n\t\t\t\t\tif loadMetricData && row.dataBlob != nil {\n\t\t\t\t\t\tvar reader io.Reader = bytes.NewReader(row.dataBlob)\n\t\t\t\t\t\tif row.compressed {\n\t\t\t\t\t\t\tgzipReader, err := gzip.NewReader(reader)\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > gzip error: %v\", err)\n\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tdecompressed, err := io.ReadAll(gzipReader)\n\t\t\t\t\t\t\tgzipReader.Close()\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decompress error: %v\", err)\n\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\treader = bytes.NewReader(decompressed)\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\t\t\t\t\t\tjobData, err := DecodeJobData(reader, key)\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode data error: %v\", err)\n\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: &jobData}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else {\n\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\n\t\tfor {\n\t\t\trows, err := sa.db.Query(query, chunkSize, offset)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Fatalf(\"SqliteArchive Iter() > query error: %s\", err.Error())\n\t\t\t}\n\n\t\t\trowCount := 0\n\t\t\tfor rows.Next() {\n\t\t\t\tvar row sqliteJobRow\n\n\t\t\t\tif loadMetricData {\n\t\t\t\t\tif err := rows.Scan(&row.metaBlob, &row.dataBlob, &row.compressed); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif err := rows.Scan(&row.metaBlob); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\trow.dataBlob = nil\n\t\t\t\t\trow.compressed = false\n\t\t\t\t}\n\n\t\t\t\tjobRows <- row\n\t\t\t\trowCount++\n\t\t\t}\n\t\t\trows.Close()\n\n\t\t\tif rowCount < chunkSize {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\toffset += chunkSize\n\t\t}\n\n\t\tclose(jobRows)\n\t\twg.Wait()\n\t}()\n\n\treturn ch\n}\n\nfunc (sa *SqliteArchive) StoreClusterCfg(name string, config *schema.Cluster) error {\n\tvar configBuf bytes.Buffer\n\tif err := EncodeCluster(&configBuf, config); err != nil {\n\t\tcclog.Error(\"SqliteArchive StoreClusterCfg() > encoding error\")\n\t\treturn err\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO clusters (name, config_json, updated_at)\n\t\tVALUES (?, ?, ?)\n\t\tON CONFLICT(name) DO UPDATE SET\n\t\t\tconfig_json = excluded.config_json,\n\t\t\tupdated_at = excluded.updated_at\n\t`, name, configBuf.Bytes(), now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive StoreClusterCfg() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\t// Update clusters list if new\n\tfound := slices.Contains(sa.clusters, name)\n\tif !found {\n\t\tsa.clusters = append(sa.clusters, name)\n\t}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":102,"oldLines":7,"newStart":102,"newLines":7,"lines":["     \"PRAGMA journal_mode=WAL\",","     \"PRAGMA synchronous=NORMAL\",","     \"PRAGMA cache_size=-64000\", // 64MB cache","-    \"PRAGMA busy_timeout=5000\",","+    \"PRAGMA busy_timeout=60000\",","   }","   for _, pragma := range pragmas {","     if _, err := sa.db.Exec(pragma); err != nil {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"94ecafb1-e6a3-48e2-bfe6-f8d44e7872e4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"bd80c015-d925-4dda-9ef4-c17de72e4519","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Si41CcYiGJS7htJyRZAWE9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NqcSrvVk89yR55JTjfVyqJ","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go","old_string":"func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {","new_string":"// AddUserIfNotExists inserts a user only if the username does not already exist.\n// Uses INSERT OR IGNORE to avoid UNIQUE constraint errors when a user is\n// concurrently created (e.g., by a login while LDAP sync is running).\n// Unlike AddUser, this intentionally skips the deprecated default metrics config insertion.\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := \"username, name, roles, projects, ldap\"\n\t_, err := r.DB.Exec(\n\t\t`INSERT OR IGNORE INTO hpc_user (`+cols+`) VALUES (?, ?, ?, ?, ?)`,\n\t\tuser.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n\treturn err\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1320,"cache_read_input_tokens":66713,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1320},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6afAUESQvCcpF23cbnH","type":"assistant","uuid":"d8c87700-46e1-4aed-bb74-9a129f330bca","timestamp":"2026-03-16T10:13:08.817Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d8c87700-46e1-4aed-bb74-9a129f330bca","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01NqcSrvVk89yR55JTjfVyqJ","toolUseID":"toolu_01NqcSrvVk89yR55JTjfVyqJ","timestamp":"2026-03-16T10:13:08.825Z","uuid":"313b3b15-2243-427f-9e46-746efe480339","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d8c87700-46e1-4aed-bb74-9a129f330bca","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NqcSrvVk89yR55JTjfVyqJ","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go has been updated successfully."}]},"uuid":"1dcd7d16-6392-4be2-b84d-063eef53646b","timestamp":"2026-03-16T10:13:08.825Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go","oldString":"func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {","newString":"// AddUserIfNotExists inserts a user only if the username does not already exist.\n// Uses INSERT OR IGNORE to avoid UNIQUE constraint errors when a user is\n// concurrently created (e.g., by a login while LDAP sync is running).\n// Unlike AddUser, this intentionally skips the deprecated default metrics config insertion.\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := \"username, name, roles, projects, ldap\"\n\t_, err := r.DB.Exec(\n\t\t`INSERT OR IGNORE INTO hpc_user (`+cols+`) VALUES (?, ?, ?, ?, ?)`,\n\t\tuser.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n\treturn err\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"reflect\"\n\t\"strings\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"golang.org/x/crypto/bcrypt\"\n)\n\n// Authentication and Role System:\n//\n// ClusterCockpit supports multiple authentication sources:\n//   - Local: Username/password stored in database (password hashed with bcrypt)\n//   - LDAP: External LDAP/Active Directory authentication\n//   - JWT: Token-based authentication for API access\n//\n// Role Hierarchy (from highest to lowest privilege):\n//   1. \"admin\" - Full system access, can manage all users and jobs\n//   2. \"support\" - Can view all jobs but limited management capabilities\n//   3. \"manager\" - Can manage specific projects and their users\n//   4. \"api\" - Programmatic access for job submission/management\n//   5. \"user\" - Default role, can only view own jobs\n//\n// Project Association:\n//   - Managers have a list of projects they oversee\n//   - Regular users' project membership is determined by job data\n//   - Managers can view/manage all jobs within their projects\n\nvar (\n\tuserRepoOnce     sync.Once\n\tuserRepoInstance *UserRepository\n)\n\ntype UserRepository struct {\n\tDB     *sqlx.DB\n\tdriver string\n}\n\nfunc GetUserRepository() *UserRepository {\n\tuserRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tuserRepoInstance = &UserRepository{\n\t\t\tDB:     db.DB,\n\t\t\tdriver: db.Driver,\n\t\t}\n\t})\n\treturn userRepoInstance\n}\n\n// GetUser retrieves a user by username from the database.\n// Returns the complete user record including hashed password, roles, and projects.\n// Password field contains bcrypt hash for local auth users, empty for LDAP users.\nfunc (r *UserRepository) GetUser(username string) (*schema.User, error) {\n\tuser := &schema.User{Username: username}\n\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Password = hashedPassword.String\n\tuser.Name = name.String\n\tuser.Email = email.String\n\tif rawRoles.Valid {\n\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\tif rawProjects.Valid {\n\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn user, nil\n}\n\nfunc (r *UserRepository) GetLdapUsernames() ([]string, error) {\n\tvar users []string\n\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying usernames\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar username string\n\t\tif err := rows.Scan(&username); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tusers = append(users, username)\n\t}\n\n\treturn users, nil\n}\n\n// AddUser creates a new user in the database.\n// Passwords are automatically hashed with bcrypt before storage.\n// Auth source determines authentication method (local, LDAP, etc.).\n//\n// Required fields: Username, Roles\n// Optional fields: Name, Email, Password, Projects, AuthSource\nfunc (r *UserRepository) AddUser(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := []string{\"username\", \"roles\", \"projects\"}\n\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n\n\tif user.Name != \"\" {\n\t\tcols = append(cols, \"name\")\n\t\tvals = append(vals, user.Name)\n\t}\n\tif user.Email != \"\" {\n\t\tcols = append(cols, \"email\")\n\t\tvals = append(vals, user.Email)\n\t}\n\tif user.Password != \"\" {\n\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"Error while encrypting new user password\")\n\t\t\treturn err\n\t\t}\n\t\tcols = append(cols, \"password\")\n\t\tvals = append(vals, string(password))\n\t}\n\tif user.AuthSource != -1 {\n\t\tcols = append(cols, \"ldap\")\n\t\tvals = append(vals, int(user.AuthSource))\n\t}\n\n\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n\t\treturn err\n\t}\n\n\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n\n\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n\t} else if defaultMetricsCfg != nil {\n\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n\t\t\tif _, err := sq.Insert(\"configuration\").\n\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n\t\t\t} else {\n\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n\t\t\t}\n\t\t}\n\t}\n\t// END DEPRECATION\n\n\treturn nil\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n\t// user contains updated info -> Apply to dbUser\n\t// --- Simple Name Update ---\n\tif dbUser.Name != user.Name {\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Def Helpers ---\n\t// Helper to update roles\n\tupdateRoles := func(roles []string) error {\n\t\trolesJSON, _ := json.Marshal(roles)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to update projects\n\tupdateProjects := func(projects []string) error {\n\t\tprojectsJSON, _ := json.Marshal(projects)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to clear projects\n\tclearProjects := func() error {\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// --- Manager Role Handling ---\n\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n\t\t// Existing Manager: update projects\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Manager: update roles and projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n\t\t// Remove Manager: update roles and clear projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := clearProjects(); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Support Role Handling ---\n\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t// Remove Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) DelUser(username string) error {\n\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted user '%s' from DB\", username)\n\treturn nil\n}\n\nfunc (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n\tif specialsOnly {\n\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n\t}\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying user list\")\n\t\treturn nil, err\n\t}\n\n\tusers := make([]*schema.User, 0)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\trawroles := \"\"\n\t\trawprojects := \"\"\n\t\tuser := &schema.User{}\n\t\tvar name, email sql.NullString\n\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning user list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tuser.Name = name.String\n\t\tuser.Email = email.String\n\t\tusers = append(users, user)\n\t}\n\treturn users, nil\n}\n\n// AddRole adds a role to a user's role list.\n// Role string is automatically lowercased.\n// Valid roles: admin, support, manager, api, user\n//\n// Returns error if:\n//   - User doesn't exist\n//   - Role is invalid\n//   - User already has the role\nfunc (r *UserRepository) AddRole(\n\tctx context.Context,\n\tusername string,\n\tqueryrole string,\n) error {\n\tnewRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(newRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n\t}\n\tif exists {\n\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n\t}\n\n\troles, _ := json.Marshal(append(user.Roles, newRole))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// RemoveRole removes a role from a user's role list.\n//\n// Special rules:\n//   - Cannot remove \"manager\" role while user has assigned projects\n//   - Must remove all projects first before removing manager role\nfunc (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n\toldRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(oldRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n\t}\n\tif !exists {\n\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n\t}\n\n\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n\t}\n\n\tvar newroles []string\n\tfor _, r := range user.Roles {\n\t\tif r != oldRole {\n\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n\t\t}\n\t}\n\n\tmroles, _ := json.Marshal(newroles)\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// AddProject assigns a project to a manager user.\n// Only users with the \"manager\" role can have assigned projects.\n//\n// Returns error if:\n//   - User doesn't have manager role\n//   - User already manages the project\nfunc (r *UserRepository) AddProject(\n\tctx context.Context,\n\tusername string,\n\tproject string,\n) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n\t}\n\n\tif user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n\t}\n\n\tprojects, _ := json.Marshal(append(user.Projects, project))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n\t}\n\n\tif !user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n\t}\n\n\tvar exists bool\n\tvar newprojects []string\n\tfor _, p := range user.Projects {\n\t\tif p != project {\n\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n\t\t} else {\n\t\t\texists = true\n\t\t}\n\t}\n\n\tif exists {\n\t\tvar result any\n\t\tif len(newprojects) == 0 {\n\t\t\tresult = \"[]\"\n\t\t} else {\n\t\t\tresult, _ = json.Marshal(newprojects)\n\t\t}\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\t\treturn err\n\t\t}\n\t\treturn nil\n\t} else {\n\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n\t}\n}\n\ntype ContextKey string\n\nconst ContextUserKey ContextKey = \"user\"\n\nfunc GetUserFromContext(ctx context.Context) *schema.User {\n\tx := ctx.Value(ContextUserKey)\n\tif x == nil {\n\t\tcclog.Warnf(\"no user retrieved from context\")\n\t\treturn nil\n\t}\n\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n\treturn x.(*schema.User)\n}\n\nfunc (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n\tme := GetUserFromContext(ctx)\n\tif me != nil && me.Username != username &&\n\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"forbidden\")\n\t}\n\n\tuser := &model.User{Username: username}\n\tvar name, email sql.NullString\n\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n\t\t\treturn nil, nil\n\t\t}\n\n\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Name = name.String\n\tuser.Email = email.String\n\treturn user, nil\n}\n","structuredPatch":[{"oldStart":188,"oldLines":6,"newStart":188,"newLines":21,"lines":["   return nil"," }"," ","+// AddUserIfNotExists inserts a user only if the username does not already exist.","+// Uses INSERT OR IGNORE to avoid UNIQUE constraint errors when a user is","+// concurrently created (e.g., by a login while LDAP sync is running).","+// Unlike AddUser, this intentionally skips the deprecated default metrics config insertion.","+func (r *UserRepository) AddUserIfNotExists(user *schema.User) error {","+  rolesJson, _ := json.Marshal(user.Roles)","+  projectsJson, _ := json.Marshal(user.Projects)","+","+  cols := \"username, name, roles, projects, ldap\"","+  _, err := r.DB.Exec(","+    `INSERT OR IGNORE INTO hpc_user (`+cols+`) VALUES (?, ?, ?, ?, ?)`,","+    user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))","+  return err","+}","+"," func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {","   // user contains updated info -> Apply to dbUser","   // --- Simple Name Update ---"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"d8c87700-46e1-4aed-bb74-9a129f330bca","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage auth\n\nimport (\n\t\"fmt\"\n\t\"net\"\n\t\"net/http\"\n\t\"os\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/go-ldap/ldap/v3\"\n)\n\ntype LdapConfig struct {\n\tURL             string `json:\"url\"`\n\tUserBase        string `json:\"user-base\"`\n\tSearchDN        string `json:\"search-dn\"`\n\tUserBind        string `json:\"user-bind\"`\n\tUserFilter      string `json:\"user-filter\"`\n\tUserAttr        string `json:\"username-attr\"`\n\tUIDAttr         string `json:\"uid-attr\"`\n\tSyncInterval    string `json:\"sync-interval\"` // Parsed using time.ParseDuration.\n\tSyncDelOldUsers bool   `json:\"sync-del-old-users\"`\n\n\t// Should a non-existent user be added to the DB if user exists in ldap directory\n\tSyncUserOnLogin   bool `json:\"sync-user-on-login\"`\n\tUpdateUserOnLogin bool `json:\"update-user-on-login\"`\n}\n\ntype LdapAuthenticator struct {\n\tsyncPassword string\n\tUserAttr     string\n\tUIDAttr      string\n}\n\nvar _ Authenticator = (*LdapAuthenticator)(nil)\n\nfunc (la *LdapAuthenticator) Init() error {\n\tla.syncPassword = os.Getenv(\"LDAP_ADMIN_PASSWORD\")\n\tif la.syncPassword == \"\" {\n\t\tcclog.Warn(\"environment variable 'LDAP_ADMIN_PASSWORD' not set (ldap sync will not work)\")\n\t}\n\n\tif Keys.LdapConfig.UserAttr != \"\" {\n\t\tla.UserAttr = Keys.LdapConfig.UserAttr\n\t} else {\n\t\tla.UserAttr = \"gecos\"\n\t}\n\n\tif Keys.LdapConfig.UIDAttr != \"\" {\n\t\tla.UIDAttr = Keys.LdapConfig.UIDAttr\n\t} else {\n\t\tla.UIDAttr = \"uid\"\n\t}\n\n\treturn nil\n}\n\nfunc (la *LdapAuthenticator) CanLogin(\n\tuser *schema.User,\n\tusername string,\n\trw http.ResponseWriter,\n\tr *http.Request,\n) (*schema.User, bool) {\n\tlc := Keys.LdapConfig\n\n\tif user != nil {\n\t\tif user.AuthSource == schema.AuthViaLDAP {\n\t\t\treturn user, true\n\t\t}\n\t} else if lc.SyncUserOnLogin {\n\t\tl, err := la.getLdapConnection(true)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"LDAP connection error\")\n\t\t\treturn nil, false\n\t\t}\n\t\tdefer l.Close()\n\n\t\t// Search for the given username\n\t\tsearchRequest := ldap.NewSearchRequest(\n\t\t\tlc.UserBase,\n\t\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n\t\t\tfmt.Sprintf(\"(&%s(%s=%s))\", lc.UserFilter, la.UIDAttr, ldap.EscapeFilter(username)),\n\t\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil)\n\n\t\tsr, err := l.Search(searchRequest)\n\t\tif err != nil {\n\t\t\tcclog.Warn(err)\n\t\t\treturn nil, false\n\t\t}\n\n\t\tif len(sr.Entries) != 1 {\n\t\t\tcclog.Warn(\"LDAP: User does not exist or too many entries returned\")\n\t\t\treturn nil, false\n\t\t}\n\n\t\tentry := sr.Entries[0]\n\t\tuser = &schema.User{\n\t\t\tUsername:   username,\n\t\t\tName:       entry.GetAttributeValue(la.UserAttr),\n\t\t\tRoles:      []string{schema.GetRoleString(schema.RoleUser)},\n\t\t\tProjects:   make([]string, 0),\n\t\t\tAuthType:   schema.AuthSession,\n\t\t\tAuthSource: schema.AuthViaLDAP,\n\t\t}\n\n\t\thandleLdapUser(user)\n\t\treturn user, true\n\t}\n\n\treturn nil, false\n}\n\nfunc (la *LdapAuthenticator) Login(\n\tuser *schema.User,\n\trw http.ResponseWriter,\n\tr *http.Request,\n) (*schema.User, error) {\n\tl, err := la.getLdapConnection(false)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting ldap connection\")\n\t\treturn nil, err\n\t}\n\tdefer l.Close()\n\n\tuserDn := strings.ReplaceAll(Keys.LdapConfig.UserBind, \"{username}\", ldap.EscapeDN(user.Username))\n\tif err := l.Bind(userDn, r.FormValue(\"password\")); err != nil {\n\t\tcclog.Errorf(\"AUTH/LDAP > Authentication for user %s failed: %v\",\n\t\t\tuser.Username, err)\n\t\treturn nil, fmt.Errorf(\"Authentication failed\")\n\t}\n\n\treturn user, nil\n}\n\nfunc (la *LdapAuthenticator) Sync() error {\n\tconst InDB int = 1\n\tconst InLdap int = 2\n\tconst InBoth int = 3\n\tur := repository.GetUserRepository()\n\tlc := Keys.LdapConfig\n\n\tusers := map[string]int{}\n\tusernames, err := ur.GetLdapUsernames()\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tfor _, username := range usernames {\n\t\tusers[username] = InDB\n\t}\n\n\tl, err := la.getLdapConnection(true)\n\tif err != nil {\n\t\tcclog.Error(\"LDAP connection error\")\n\t\treturn err\n\t}\n\tdefer l.Close()\n\n\tldapResults, err := l.Search(ldap.NewSearchRequest(\n\t\tlc.UserBase,\n\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n\t\tlc.UserFilter,\n\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil))\n\tif err != nil {\n\t\tcclog.Warn(\"LDAP search error\")\n\t\treturn err\n\t}\n\n\tnewnames := map[string]string{}\n\tfor _, entry := range ldapResults.Entries {\n\t\tusername := entry.GetAttributeValue(la.UIDAttr)\n\t\tif username == \"\" {\n\t\t\treturn fmt.Errorf(\"no attribute '%s'\", la.UIDAttr)\n\t\t}\n\n\t\t_, ok := users[username]\n\t\tif !ok {\n\t\t\tusers[username] = InLdap\n\t\t\tnewnames[username] = entry.GetAttributeValue(la.UserAttr)\n\t\t} else {\n\t\t\tusers[username] = InBoth\n\t\t}\n\t}\n\n\tfor username, where := range users {\n\t\tif where == InDB && lc.SyncDelOldUsers {\n\t\t\tif err := ur.DelUser(username); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Delete from DB failed: %v\", username, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tcclog.Debugf(\"sync: remove %v (does not show up in LDAP anymore)\", username)\n\t\t} else if where == InLdap {\n\t\t\tname := newnames[username]\n\n\t\t\tuser := &schema.User{\n\t\t\t\tUsername:   username,\n\t\t\t\tName:       name,\n\t\t\t\tRoles:      []string{schema.GetRoleString(schema.RoleUser)},\n\t\t\t\tProjects:   make([]string, 0),\n\t\t\t\tAuthSource: schema.AuthViaLDAP,\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)\n\t\t\tif err := ur.AddUser(user); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (la *LdapAuthenticator) getLdapConnection(admin bool) (*ldap.Conn, error) {\n\tlc := Keys.LdapConfig\n\tconn, err := ldap.DialURL(lc.URL,\n\t\tldap.DialWithDialer(&net.Dialer{Timeout: 10 * time.Second}))\n\tif err != nil {\n\t\tcclog.Warn(\"LDAP URL dial failed\")\n\t\treturn nil, err\n\t}\n\tconn.SetTimeout(30 * time.Second)\n\n\tif admin {\n\t\tif err := conn.Bind(lc.SearchDN, la.syncPassword); err != nil {\n\t\t\tconn.Close()\n\t\t\tcclog.Warn(\"LDAP connection bind failed\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn conn, nil\n}\n","structuredPatch":[{"oldStart":210,"oldLines":7,"newStart":210,"newLines":7,"lines":["       }"," ","       cclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)","-      if err := ur.AddUser(user); err != nil {","+      if err := ur.AddUserIfNotExists(user); err != nil {","         cclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)","         return err","       }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"3c5446a0-7ebb-4e4d-a628-43081fdf6210","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"7956bad8-245f-4be0-b117-98737a7e1662","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SpSpXZdAKM2U8sZBhacLFJ","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go has been updated successfully."}]},"uuid":"3ffb462b-6cfb-46e9-ae85-f08a006b0ead","timestamp":"2026-03-16T10:13:26.419Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go","oldString":"// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {","newString":"// NodeStateUpdate holds the data needed to update one node's state in a batch operation.\ntype NodeStateUpdate struct {\n\tHostname  string\n\tCluster   string\n\tNodeState *schema.NodeStateDB\n}\n\n// BatchUpdateNodeStates inserts node state rows for multiple nodes in a single transaction.\n// For each node, it looks up (or creates) the node row, then inserts the state row.\n// This reduces lock acquisitions from 2*N to 1 for N nodes.\nfunc (r *NodeRepository) BatchUpdateNodeStates(updates []NodeStateUpdate) error {\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: begin transaction: %w\", err)\n\t}\n\tdefer tx.Rollback()\n\n\tstmtLookup, err := tx.Preparex(\"SELECT id FROM node WHERE hostname = ? AND cluster = ?\")\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare lookup: %w\", err)\n\t}\n\tdefer stmtLookup.Close()\n\n\tstmtInsertNode, err := tx.PrepareNamed(NamedNodeInsert)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare node insert: %w\", err)\n\t}\n\tdefer stmtInsertNode.Close()\n\n\tstmtInsertState, err := tx.PrepareNamed(NamedNodeStateInsert)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare state insert: %w\", err)\n\t}\n\tdefer stmtInsertState.Close()\n\n\tfor _, u := range updates {\n\t\tvar id int64\n\t\tif err := stmtLookup.QueryRow(u.Hostname, u.Cluster).Scan(&id); err != nil {\n\t\t\tif err == sql.ErrNoRows {\n\t\t\t\tsubcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)\n\t\t\t\tif scErr != nil {\n\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: subcluster lookup for '%s' in '%s': %v\", u.Hostname, u.Cluster, scErr)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tnode := schema.NodeDB{\n\t\t\t\t\tHostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,\n\t\t\t\t}\n\t\t\t\tres, insertErr := stmtInsertNode.Exec(&node)\n\t\t\t\tif insertErr != nil {\n\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tid, _ = res.LastInsertId()\n\t\t\t} else {\n\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: lookup node '%s': %v\", u.Hostname, err)\n\t\t\t\tcontinue\n\t\t\t}\n\t\t}\n\n\t\tu.NodeState.NodeID = id\n\t\tif _, err := stmtInsertState.Exec(u.NodeState); err != nil {\n\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert state for '%s': %v\", u.Hostname, err)\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: commit: %w\", err)\n\t}\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sort\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\tnodeRepoOnce     sync.Once\n\tnodeRepoInstance *NodeRepository\n)\n\ntype NodeRepository struct {\n\tDB        *sqlx.DB\n\tstmtCache *sq.StmtCache\n\tcache     *lrucache.Cache\n\tdriver    string\n}\n\nfunc GetNodeRepository() *NodeRepository {\n\tnodeRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tnodeRepoInstance = &NodeRepository{\n\t\t\tDB:     db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache:     lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn nodeRepoInstance\n}\n\n// latestStateCondition returns a squirrel expression that restricts node_state\n// rows to the latest per node_id using a correlated subquery.\n// Requires the query to join node and node_state tables.\nfunc latestStateCondition() sq.Sqlizer {\n\treturn sq.Expr(\n\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n\t)\n}\n\n// applyNodeFilters applies common NodeFilter conditions to a query that joins\n// the node and node_state tables with latestStateCondition.\nfunc applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\treturn query\n}\n\nfunc (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n\tstart := time.Now()\n\n\tRawMetaData := make([]byte, 0)\n\n\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n\t\tcclog.Warn(\"Error while scanning for node metadata\")\n\t\treturn nil, err\n\t}\n\n\tif len(RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tMetaData := make(map[string]string)\n\n\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn MetaData, nil\n}\n\nfunc (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tvar err error\n\t\tvar meta map[string]string\n\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n\t\t\treturn nil, err\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\nfunc (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.id = ?\", id).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n\t\tif metaErr != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n\t\t\treturn nil, metaErr\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\n// const NamedNodeInsert string = `\n// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n//\n//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n\nconst NamedNodeInsert string = `\nINSERT INTO node (hostname, cluster, subcluster)\n\tVALUES (:hostname, :cluster, :subcluster);`\n\n// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n// from a nodestate update from the job scheduler.\nfunc (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n\tvar err error\n\n\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\tnode.ID, err = res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\n\treturn node.ID, nil\n}\n\nconst NamedNodeStateInsert string = `\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n\n// TODO: Add real Monitoring Health State\n\n// UpdateNodeState is called from the Node REST API to add a row in the node state table\nfunc (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n\tvar id int64\n\n\tif err := sq.Select(\"id\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n\t\tQueryRow().Scan(&id); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tnode := schema.NodeDB{\n\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n\t\t\t}\n\t\t\tid, err = r.AddNode(&node)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n\t\t\treturn err\n\t\t}\n\t}\n\n\tnodeState.NodeID = id\n\n\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n\t\treturn err\n\t}\n\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n// \t\treturn err\n// \t}\n//\n// \treturn nil\n// }\n\n// NodeStateWithNode combines a node state row with denormalized node info.\ntype NodeStateWithNode struct {\n\tID              int64  `db:\"id\"`\n\tTimeStamp       int64  `db:\"time_stamp\"`\n\tNodeState       string `db:\"node_state\"`\n\tHealthState     string `db:\"health_state\"`\n\tHealthMetrics   string `db:\"health_metrics\"`\n\tCpusAllocated   int    `db:\"cpus_allocated\"`\n\tMemoryAllocated int64  `db:\"memory_allocated\"`\n\tGpusAllocated   int    `db:\"gpus_allocated\"`\n\tJobsRunning     int    `db:\"jobs_running\"`\n\tHostname        string `db:\"hostname\"`\n\tCluster         string `db:\"cluster\"`\n\tSubCluster      string `db:\"subcluster\"`\n}\n\n// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n// joined with node info for denormalized archiving.\nfunc (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n\trows, err := sq.Select(\n\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t).\n\t\tFrom(\"node_state\").\n\t\tJoin(\"node ON node_state.node_id = node.id\").\n\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n\t\tRunWith(r.DB).Query()\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tvar result []NodeStateWithNode\n\tfor rows.Next() {\n\t\tvar ns NodeStateWithNode\n\t\tvar healthMetrics sql.NullString\n\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n\t\t\t&ns.HealthState, &healthMetrics,\n\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tns.HealthMetrics = healthMetrics.String\n\t\tresult = append(result, ns)\n\t}\n\treturn result, nil\n}\n\n// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n// but always preserves the row with the latest timestamp per node_id.\nfunc (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t`DELETE FROM node_state WHERE time_stamp < ?\n\t\t AND id NOT IN (\n\t\t   SELECT id FROM node_state ns2\n\t\t   WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n\t\t )`,\n\t\tcutoff,\n\t)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn res.RowsAffected()\n}\n\nfunc (r *NodeRepository) DeleteNode(id int64) error {\n\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted node '%d' from DB\", id)\n\treturn nil\n}\n\n// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.\nfunc (r *NodeRepository) CountNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n) (int, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column, \"COUNT(*) as count\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()).\n\t\t\tGroupBy(column))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, &timestamp, &count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,\n\tpage *model.PageRequest,\n) ([]string, map[string]string, int, bool, error) {\n\t// Init Return Vars\n\tnodes := make([]string, 0)\n\tstateMap := make(map[string]string)\n\tcountNodes := 0\n\thasNextPage := false\n\n\t// Build Filters\n\tqueryFilters := make([]*model.NodeFilter, 0)\n\tif cluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n\t}\n\tif subCluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n\t}\n\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n\t}\n\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n\t\tqueryState := schema.SchedulerState(stateFilter)\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n\t}\n\t// if healthFilter != \"all\" {\n\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n\t// }\n\n\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n\tvar backupItems int\n\tif stateFilter == \"notindb\" {\n\t\tbackupItems = page.ItemsPerPage\n\t\tpage.ItemsPerPage = -1\n\t}\n\n\t// Query Nodes From DB\n\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n\tif serr != nil {\n\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n\t\treturn nil, nil, 0, false, serr\n\t}\n\n\t// Intermediate Node Result Info\n\tfor _, node := range rawNodes {\n\t\tif node == nil {\n\t\t\tcontinue\n\t\t}\n\t\tnodes = append(nodes, node.Hostname)\n\t\tstateMap[node.Hostname] = string(node.NodeState)\n\t}\n\n\t// Special Case: Find Nodes not in DB node table but in metricStore only\n\tif stateFilter == \"notindb\" {\n\t\t// Reapply Original Paging\n\t\tpage.ItemsPerPage = backupItems\n\t\t// Get Nodes From Topology\n\t\tvar topoNodes []string\n\t\tif subCluster != \"\" {\n\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\t\ttopoNodes = scNodes.PrintList()\n\t\t} else {\n\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n\t\t\t}\n\t\t}\n\t\t// Compare to all nodes from cluster/subcluster in DB\n\t\tvar missingNodes []string\n\t\tfor _, scanNode := range topoNodes {\n\t\t\tif !slices.Contains(nodes, scanNode) {\n\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n\t\t\t}\n\t\t}\n\t\t// Filter nodes by name\n\t\tif nodeFilter != \"\" {\n\t\t\tfilteredNodesByName := []string{}\n\t\t\tfor _, missingNode := range missingNodes {\n\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n\t\t\t\t}\n\t\t\t}\n\t\t\tmissingNodes = filteredNodesByName\n\t\t}\n\t\t// Sort Missing Nodes Alphanumerically\n\t\tslices.Sort(missingNodes)\n\t\t// Total Missing\n\t\tcountNodes = len(missingNodes)\n\t\t// Apply paging\n\t\tif countNodes > page.ItemsPerPage {\n\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\t\tend := start + page.ItemsPerPage\n\t\t\tif end > countNodes {\n\t\t\t\tend = countNodes\n\t\t\t\thasNextPage = false\n\t\t\t} else {\n\t\t\t\thasNextPage = true\n\t\t\t}\n\t\t\tnodes = missingNodes[start:end]\n\t\t} else {\n\t\t\tnodes = missingNodes\n\t\t}\n\n\t} else {\n\t\t// DB Nodes: Count and derive hasNextPage from count\n\t\tvar cerr error\n\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n\t\tif cerr != nil {\n\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n\t\t\treturn nil, nil, 0, false, cerr\n\t\t}\n\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n\t}\n\n\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n\tif stateFilter == \"all\" && countNodes == 0 {\n\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n\t}\n\n\treturn nodes, stateMap, countNodes, hasNextPage, nil\n}\n\nfunc AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn AccessCheckWithUser(user, query)\n}\n\nfunc AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n\t// \treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n\t\treturn query, nil\n\tdefault: // No known Role: No Access, return error\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\nfunc getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n\t// 0) Init additional vars\n\thasNextPage := false\n\ttotalNodes := 0\n\n\t// 1) Get list of all nodes\n\tvar topolNodes []string\n\tif subCluster != \"\" {\n\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\ttopolNodes = scNodes.PrintList()\n\t} else {\n\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n\t\t}\n\t}\n\n\t// 2) Filter nodes\n\tif nodeFilter != \"\" {\n\t\tfilteredNodes := []string{}\n\t\tfor _, node := range topolNodes {\n\t\t\tif strings.Contains(node, nodeFilter) {\n\t\t\t\tfilteredNodes = append(filteredNodes, node)\n\t\t\t}\n\t\t}\n\t\ttopolNodes = filteredNodes\n\t}\n\n\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n\ttotalNodes = len(topolNodes)\n\tsort.Strings(topolNodes)\n\n\t// 3) Apply paging\n\tif len(topolNodes) > page.ItemsPerPage {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tend := start + page.ItemsPerPage\n\t\tif end >= len(topolNodes) {\n\t\t\tend = len(topolNodes)\n\t\t\thasNextPage = false\n\t\t} else {\n\t\t\thasNextPage = true\n\t\t}\n\t\ttopolNodes = topolNodes[start:end]\n\t}\n\n\treturn topolNodes, totalNodes, hasNextPage\n}\n","structuredPatch":[{"oldStart":244,"oldLines":6,"newStart":244,"newLines":77,"lines":["   return nil"," }"," ","+// NodeStateUpdate holds the data needed to update one node's state in a batch operation.","+type NodeStateUpdate struct {","+  Hostname  string","+  Cluster   string","+  NodeState *schema.NodeStateDB","+}","+","+// BatchUpdateNodeStates inserts node state rows for multiple nodes in a single transaction.","+// For each node, it looks up (or creates) the node row, then inserts the state row.","+// This reduces lock acquisitions from 2*N to 1 for N nodes.","+func (r *NodeRepository) BatchUpdateNodeStates(updates []NodeStateUpdate) error {","+  tx, err := r.DB.Beginx()","+  if err != nil {","+    return fmt.Errorf(\"BatchUpdateNodeStates: begin transaction: %w\", err)","+  }","+  defer tx.Rollback()","+","+  stmtLookup, err := tx.Preparex(\"SELECT id FROM node WHERE hostname = ? AND cluster = ?\")","+  if err != nil {","+    return fmt.Errorf(\"BatchUpdateNodeStates: prepare lookup: %w\", err)","+  }","+  defer stmtLookup.Close()","+","+  stmtInsertNode, err := tx.PrepareNamed(NamedNodeInsert)","+  if err != nil {","+    return fmt.Errorf(\"BatchUpdateNodeStates: prepare node insert: %w\", err)","+  }","+  defer stmtInsertNode.Close()","+","+  stmtInsertState, err := tx.PrepareNamed(NamedNodeStateInsert)","+  if err != nil {","+    return fmt.Errorf(\"BatchUpdateNodeStates: prepare state insert: %w\", err)","+  }","+  defer stmtInsertState.Close()","+","+  for _, u := range updates {","+    var id int64","+    if err := stmtLookup.QueryRow(u.Hostname, u.Cluster).Scan(&id); err != nil {","+      if err == sql.ErrNoRows {","+        subcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)","+        if scErr != nil {","+          cclog.Errorf(\"BatchUpdateNodeStates: subcluster lookup for '%s' in '%s': %v\", u.Hostname, u.Cluster, scErr)","+          continue","+        }","+        node := schema.NodeDB{","+          Hostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,","+        }","+        res, insertErr := stmtInsertNode.Exec(&node)","+        if insertErr != nil {","+          cclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)","+          continue","+        }","+        id, _ = res.LastInsertId()","+      } else {","+        cclog.Errorf(\"BatchUpdateNodeStates: lookup node '%s': %v\", u.Hostname, err)","+        continue","+      }","+    }","+","+    u.NodeState.NodeID = id","+    if _, err := stmtInsertState.Exec(u.NodeState); err != nil {","+      cclog.Errorf(\"BatchUpdateNodeStates: insert state for '%s': %v\", u.Hostname, err)","+    }","+  }","+","+  if err := tx.Commit(); err != nil {","+    return fmt.Errorf(\"BatchUpdateNodeStates: commit: %w\", err)","+  }","+  return nil","+}","+"," // func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {"," // \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {"," // \t\tcclog.Errorf(\"error while updating node '%d'\", id)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"7956bad8-245f-4be0-b117-98737a7e1662","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"9006a851-8e89-47d0-8cc0-6a71f7579d4c","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SfYezs5gWfSaJwFBvZwTQm","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"d3f9fff6-c5c7-4b6a-9ccf-be1ce553c3d1","timestamp":"2026-03-16T10:13:42.820Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)","newString":"\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":345,"oldLines":6,"newStart":345,"newLines":7,"lines":["   repo := repository.GetNodeRepository()","   requestReceived := time.Now().Unix()"," ","+  updates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))","   for _, node := range req.Nodes {","     state := determineState(node.States)","     nodeState := schema.NodeStateDB{"]},{"oldStart":356,"oldLines":11,"newStart":357,"newLines":15,"lines":["       HealthState:     schema.MonitoringStateFull,","       JobsRunning:     node.JobsRunning,","     }","+    updates = append(updates, repository.NodeStateUpdate{","+      Hostname:  node.Hostname,","+      Cluster:   req.Cluster,","+      NodeState: &nodeState,","+    })","+  }"," ","-    if err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {","-      cclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",","-        node.Hostname, req.Cluster, err)","-    }","+  if err := repo.BatchUpdateNodeStates(updates); err != nil {","+    cclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)","   }"," ","   cclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"9006a851-8e89-47d0-8cc0-6a71f7579d4c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d3f9fff6-c5c7-4b6a-9ccf-be1ce553c3d1","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01XW1TDmuGSvp8mtAm3TgEbp","type":"message","role":"assistant","content":[{"type":"text","text":"Now update the REST handler to also batch the DB part:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":807,"cache_read_input_tokens":70459,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":807},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6aiHcgkCnEMhSsh7iXd","type":"assistant","uuid":"4a840c99-f10e-4a2a-88a9-26722953097a","timestamp":"2026-03-16T10:13:46.319Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"4a840c99-f10e-4a2a-88a9-26722953097a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01XW1TDmuGSvp8mtAm3TgEbp","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KWgT3DMBg4wm69ijcQDpSf","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go","old_string":"\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     healthState,\n\t\t\tHealthMetrics:   healthMetrics,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))","new_string":"\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     healthState,\n\t\t\tHealthMetrics:   healthMetrics,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":807,"cache_read_input_tokens":70459,"output_tokens":912,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":807,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6aiHcgkCnEMhSsh7iXd","type":"assistant","uuid":"a9780779-40bc-4130-84ef-769ec8d703e9","timestamp":"2026-03-16T10:13:53.745Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"fmt\"\n\t\"maps\"\n\t\"net/http\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\ntype UpdateNodeStatesRequest struct {\n\tNodes   []schema.NodePayload `json:\"nodes\"`\n\tCluster string               `json:\"cluster\" example:\"fritz\"`\n}\n\n// metricListToNames converts a map of metric configurations to a list of metric names\nfunc metricListToNames(metricList map[string]*schema.Metric) []string {\n\tnames := make([]string, 0, len(metricList))\n\tfor name := range metricList {\n\t\tnames = append(names, name)\n\t}\n\treturn names\n}\n\n// this routine assumes that only one of them exists per node\nfunc determineState(states []string) schema.SchedulerState {\n\tfor _, state := range states {\n\t\tswitch strings.ToLower(state) {\n\t\tcase \"allocated\":\n\t\t\treturn schema.NodeStateAllocated\n\t\tcase \"reserved\":\n\t\t\treturn schema.NodeStateReserved\n\t\tcase \"idle\":\n\t\t\treturn schema.NodeStateIdle\n\t\tcase \"down\":\n\t\t\treturn schema.NodeStateDown\n\t\tcase \"mixed\":\n\t\t\treturn schema.NodeStateMixed\n\t\t}\n\t}\n\n\treturn schema.NodeStateUnknown\n}\n\n// updateNodeStates godoc\n// @summary     Deliver updated Slurm node states\n// @tags Nodestates\n// @description Returns a JSON-encoded list of users.\n// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n// @produce     json\n// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n// @security    ApiKeyAuth\n// @router      /api/nodestats/ [post]\nfunc (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n\t// Parse request body\n\treq := UpdateNodeStatesRequest{}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n\t\t\thttp.StatusBadRequest, rw)\n\t\treturn\n\t}\n\trequestReceived := time.Now().Unix()\n\trepo := repository.GetNodeRepository()\n\n\tm := make(map[string][]string)\n\tmetricNames := make(map[string][]string)\n\thealthResults := make(map[string]metricstore.HealthCheckResult)\n\n\tstartMs := time.Now()\n\n\t// Step 1: Build nodeList and metricList per subcluster\n\tfor _, node := range req.Nodes {\n\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n\t\t\tm[sc] = append(m[sc], node.Hostname)\n\t\t}\n\t}\n\n\tfor sc := range m {\n\t\tif sc != \"\" {\n\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n\t\t\tmetricNames[sc] = metricListToNames(metricList)\n\t\t}\n\t}\n\n\t// Step 2: Determine which metric store to query and perform health check\n\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n\tif err != nil {\n\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n\t} else {\n\t\tfor sc, nl := range m {\n\t\t\tif sc != \"\" {\n\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n\t\t\t\t\tmaps.Copy(healthResults, results)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     healthState,\n\t\t\tHealthMetrics:   healthMetrics,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n}\n","structuredPatch":[{"oldStart":116,"oldLines":6,"newStart":116,"newLines":7,"lines":["   cclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))","   startDB := time.Now()"," ","+  updates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))","   for _, node := range req.Nodes {","     state := determineState(node.States)","     healthState := schema.MonitoringStateFailed"]},{"oldStart":134,"oldLines":11,"newStart":135,"newLines":15,"lines":["       HealthMetrics:   healthMetrics,","       JobsRunning:     node.JobsRunning,","     }","+    updates = append(updates, repository.NodeStateUpdate{","+      Hostname:  node.Hostname,","+      Cluster:   req.Cluster,","+      NodeState: &nodeState,","+    })","+  }"," ","-    if err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {","-      cclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",","-        node.Hostname, req.Cluster, err)","-    }","+  if err := repo.BatchUpdateNodeStates(updates); err != nil {","+    cclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)","   }"," ","   cclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"a9780779-40bc-4130-84ef-769ec8d703e9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}","new_string":"func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Transfer cached jobs to main table and clear cache in a single transaction.\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer tx.Rollback()\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = tx.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. 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AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":955,"cache_read_input_tokens":71266,"output_tokens":1692,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":955,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6aj64SNo9N1xgzrnbah","type":"assistant","uuid":"5d65a99e-fbc1-45d5-9fce-5aa84524dc4d","timestamp":"2026-03-16T10:14:16.085Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}","newString":"func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Transfer cached jobs to main table and clear cache in a single transaction.\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer tx.Rollback()\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = tx.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"encoding/json\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst NamedJobCacheInsert string = `INSERT INTO job_cache (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n);`\n\nconst NamedJobInsert string = `INSERT INTO job (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n);`\n\n// InsertJobDirect inserts a job directly into the job table (not job_cache).\n// Use this when the returned ID will be used for operations on the job table\n// (e.g., adding tags), or for imported jobs that are already completed.\nfunc (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = r.DB.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}\n\n// TransferCachedJobToMain moves a job from job_cache to the job table.\n// Caller must hold r.Mutex. Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\treturn newID, nil\n}\n\n// Start inserts a new job in the table, returning the unique job ID.\n// Statistics are not transfered!\nfunc (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJob(job)\n}\n\n// StartDirect inserts a new job directly into the job table (not job_cache).\n// Use this when the returned ID will immediately be used for job table\n// operations such as adding tags.\nfunc (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJobDirect(job)\n}\n\n// Stop updates the job with the database id jobId using the provided arguments.\nfunc (r *JobRepository) Stop(\n\tjobID int64,\n\tduration int32,\n\tstate schema.JobState,\n\tmonitoringStatus int32,\n) (err error) {\n\t// Invalidate cache entries as job state is changing\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n\n\tstmt := sq.Update(\"job\").\n\t\tSet(\"job_state\", state).\n\t\tSet(\"duration\", duration).\n\t\tSet(\"monitoring_status\", monitoringStatus).\n\t\tWhere(\"job.id = ?\", jobID)\n\n\t_, err = stmt.RunWith(r.stmtCache).Exec()\n\treturn err\n}\n","structuredPatch":[{"oldStart":92,"oldLines":20,"newStart":92,"newLines":33,"lines":["     jobs = append(jobs, job)","   }"," ","+  // Transfer cached jobs to main table and clear cache in a single transaction.","+  tx, err := r.DB.Beginx()","+  if err != nil {","+    cclog.Errorf(\"SyncJobs: begin transaction: %v\", err)","+    return nil, err","+  }","+  defer tx.Rollback()","+","   // Use INSERT OR IGNORE to skip jobs already transferred by the stop path","-  _, err = r.DB.Exec(","+  _, err = tx.Exec(","     \"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")","   if err != nil {","     cclog.Errorf(\"Error while Job sync: %v\", err)","     return nil, err","   }"," ","-  _, err = r.DB.Exec(\"DELETE FROM job_cache\")","+  _, err = tx.Exec(\"DELETE FROM job_cache\")","   if err != nil {","     cclog.Errorf(\"Error while Job cache clean: %v\", err)","     return nil, err","   }"," ","+  if err := tx.Commit(); err != nil {","+    cclog.Errorf(\"SyncJobs: commit transaction: %v\", err)","+    return nil, err","+  }","+","   // Resolve correct job.id from the job table. The IDs read from job_cache","   // are from a different auto-increment sequence and must not be used to","   // query the job table."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"5d65a99e-fbc1-45d5-9fce-5aa84524dc4d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"3775dc48-712d-4527-831d-4b8ba6f366d9","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014HMVkUZgUEv2F5FVEvG9yC","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"ee24031c-69cc-4429-8b76-a49bdc1e244e","timestamp":"2026-03-16T10:14:25.663Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"type NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t}\n}","newString":"type NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n\t// when the database is under contention.\n\tjobSem chan struct{}\n\t// nodeSem limits concurrent NATS node state processing.\n\tnodeSem chan struct{}\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobSem:        make(chan struct{}, 8),\n\t\tnodeSem:       make(chan struct{}, 2),\n\t}\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":64,"oldLines":12,"newStart":64,"newLines":19,"lines":["   // RepositoryMutex protects job creation operations from race conditions","   // when checking for duplicate jobs during startJob calls.","   RepositoryMutex sync.Mutex","+  // jobSem limits concurrent NATS job event processing to prevent goroutine accumulation","+  // when the database is under contention.","+  jobSem chan struct{}","+  // nodeSem limits concurrent NATS node state processing.","+  nodeSem chan struct{}"," }"," "," // NewNatsAPI creates a new NatsAPI instance with default dependencies."," func NewNatsAPI() *NatsAPI {","   return &NatsAPI{","     JobRepository: repository.GetJobRepository(),","+    jobSem:        make(chan struct{}, 8),","+    nodeSem:       make(chan struct{}, 2),","   }"," }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"3775dc48-712d-4527-831d-4b8ba6f366d9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"ee24031c-69cc-4429-8b76-a49bdc1e244e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01BAi9cdLpY9ze3kti1EgJd8","type":"message","role":"assistant","content":[{"type":"text","text":"Now add semaphore acquire/release to `handleJobEvent` and `handleNodeState`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":618,"cache_read_input_tokens":73957,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":618},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6amSZHFncC3Jwm7TmpJ","type":"assistant","uuid":"493fc493-c27b-477d-a40e-229856dd3a25","timestamp":"2026-03-16T10:14:29.415Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"493fc493-c27b-477d-a40e-229856dd3a25","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01BAi9cdLpY9ze3kti1EgJd8","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01F343pD8uwJ3KXtR8moYRXc","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","old_string":"func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","new_string":"func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tapi.jobSem <- struct{}{}\n\tdefer func() { <-api.jobSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":618,"cache_read_input_tokens":73957,"output_tokens":330,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":618,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6amSZHFncC3Jwm7TmpJ","type":"assistant","uuid":"1ef8186a-a04a-482e-b9a5-3c346596f2fc","timestamp":"2026-03-16T10:14:31.960Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"1ef8186a-a04a-482e-b9a5-3c346596f2fc","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01F343pD8uwJ3KXtR8moYRXc","toolUseID":"toolu_01F343pD8uwJ3KXtR8moYRXc","timestamp":"2026-03-16T10:14:31.972Z","uuid":"0e01642d-c7a2-434b-86e8-aa9d2671dea5","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"1ef8186a-a04a-482e-b9a5-3c346596f2fc","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01F343pD8uwJ3KXtR8moYRXc","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"56d57da3-6e7b-40c4-8d7c-511fcb0411d5","timestamp":"2026-03-16T10:14:31.972Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","newString":"func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tapi.jobSem <- struct{}{}\n\tdefer func() { <-api.jobSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n\t// when the database is under contention.\n\tjobSem chan struct{}\n\t// nodeSem limits concurrent NATS node state processing.\n\tnodeSem chan struct{}\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobSem:        make(chan struct{}, 8),\n\t\tnodeSem:       make(chan struct{}, 2),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":144,"oldLines":6,"newStart":144,"newLines":9,"lines":[" //"," // Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000"," func (api *NatsAPI) handleJobEvent(subject string, data []byte) {","+  api.jobSem <- struct{}{}","+  defer func() { <-api.jobSem }()","+","   if len(data) == 0 {","     cclog.Warnf(\"NATS %s: received empty message\", subject)","     return"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"1ef8186a-a04a-482e-b9a5-3c346596f2fc","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"56d57da3-6e7b-40c4-8d7c-511fcb0411d5","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_018GDq8pzsSNa7nJereCUUuJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017JDESo1Lkjh5SWMU35gSHD","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","old_string":"func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","new_string":"func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tapi.nodeSem <- struct{}{}\n\tdefer func() { <-api.nodeSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":374,"cache_read_input_tokens":74575,"output_tokens":309,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":374,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6amuTHvcstiLQtphpTt","type":"assistant","uuid":"d7e94c87-1f2a-4e1b-9161-c8c4ea41292f","timestamp":"2026-03-16T10:14:36.687Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d7e94c87-1f2a-4e1b-9161-c8c4ea41292f","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_017JDESo1Lkjh5SWMU35gSHD","toolUseID":"toolu_017JDESo1Lkjh5SWMU35gSHD","timestamp":"2026-03-16T10:14:36.702Z","uuid":"f81a86b2-4d61-41bf-b4ea-3a85809dacee","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d7e94c87-1f2a-4e1b-9161-c8c4ea41292f","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017JDESo1Lkjh5SWMU35gSHD","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"a9a61ff3-ead3-48d1-807b-e2a14ab45568","timestamp":"2026-03-16T10:14:36.702Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","newString":"func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tapi.nodeSem <- struct{}{}\n\tdefer func() { <-api.nodeSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n\t// when the database is under contention.\n\tjobSem chan struct{}\n\t// nodeSem limits concurrent NATS node state processing.\n\tnodeSem chan struct{}\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobSem:        make(chan struct{}, 8),\n\t\tnodeSem:       make(chan struct{}, 2),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tapi.jobSem <- struct{}{}\n\tdefer func() { <-api.jobSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared:           \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp:       requestReceived,\n\t\t\tNodeState:       state,\n\t\t\tCpusAllocated:   node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated:   node.GpusAllocated,\n\t\t\tHealthState:     schema.MonitoringStateFull,\n\t\t\tJobsRunning:     node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname:  node.Hostname,\n\t\t\tCluster:   req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n//   - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":387,"oldLines":6,"newStart":387,"newLines":9,"lines":[" //"," // Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000"," func (api *NatsAPI) handleNodeState(subject string, data []byte) {","+  api.nodeSem <- struct{}{}","+  defer func() { <-api.nodeSem }()","+","   if len(data) == 0 {","     cclog.Warnf(\"NATS %s: received empty message\", subject)","     return"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"d7e94c87-1f2a-4e1b-9161-c8c4ea41292f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"a9a61ff3-ead3-48d1-807b-e2a14ab45568","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01N5TaR6cLdSMWNQuMeYKmWB","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me verify the build compiles:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":353,"cache_read_input_tokens":74949,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":353},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6anFfDoyRxTbWofrkvV","type":"assistant","uuid":"6362acdd-a63c-4cc8-81f5-6b956b1dcd7b","timestamp":"2026-03-16T10:14:40.520Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"b4973f4a-3987-40a0-9784-97ab8f94be4c","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":"Are there other opportunities to reduce the insert pressure on the db using transactions or other techniques?"},"uuid":"77246124-c7ed-405a-87de-11b99d5c5171","timestamp":"2026-03-16T10:18:22.003Z","permissionMode":"plan","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"2c1eddf0-1f39-4852-85ff-a09935d22a02","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VcJqMaKr97nTjqZLiZRmCD","type":"tool_result","content":"     1→# Fix: SQLite Write Contention Causing OOM Crash\n     2→\n     3→## Context\n     4→\n     5→The server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.\n     6→\n     7→**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.\n     8→\n     9→The cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.\n    10→\n    11→---\n    12→\n    13→## Fix 1: Increase busy_timeout (contention relief)\n    14→\n    15→**File:** `internal/repository/dbConnection.go:73`\n    16→\n    17→Change `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:\n    18→\n    19→**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.\n    20→\n    21→**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.\n    22→\n    23→**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.\n    24→\n    25→With 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.\n    26→\n    27→---\n    28→\n    29→## Fix 2: Batch Node State Updates in a Transaction\n    30→\n    31→Currently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.\n    32→\n    33→**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:\n    34→- Accept a slice of `(hostname, cluster, nodeState)` tuples\n    35→- Begin transaction\n    36→- For each node: lookup ID (or insert node), then insert state — all within the same transaction\n    37→- Commit once\n    38→\n    39→**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.\n    40→\n    41→**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).\n    42→\n    43→Keep the existing `UpdateNodeState` method for single-node use cases.\n    44→\n    45→---\n    46→\n    47→## Fix 3: Fix LDAP Sync Race Condition\n    48→\n    49→The LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.\n    50→\n    51→**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:\n    52→```go\n    53→func (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n    54→    rolesJson, _ := json.Marshal(user.Roles)\n    55→    projectsJson, _ := json.Marshal(user.Projects)\n    56→    cols := \"username, name, roles, projects, ldap\"\n    57→    _, err := r.DB.Exec(\n    58→        `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,\n    59→        user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n    60→    return err\n    61→}\n    62→```\n    63→\n    64→**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.\n    65→\n    66→Note: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.\n    67→\n    68→---\n    69→\n    70→## Fix 4: Add Semaphore for NATS Handlers\n    71→\n    72→Without rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.\n    73→\n    74→**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:\n    75→```go\n    76→type NatsAPI struct {\n    77→    JobRepository   *repository.JobRepository\n    78→    RepositoryMutex sync.Mutex\n    79→    jobSem          chan struct{}\n    80→    nodeSem         chan struct{}\n    81→}\n    82→```\n    83→\n    84→Initialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.\n    85→\n    86→Add acquire/release in `handleJobEvent` and `handleNodeState`:\n    87→```go\n    88→api.jobSem <- struct{}{}\n    89→defer func() { <-api.jobSem }()\n    90→```\n    91→\n    92→This caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.\n    93→\n    94→---\n    95→\n    96→## Fix 5: Wrap SyncJobs in a Transaction\n    97→\n    98→**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)\n    99→\n   100→Currently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:\n   101→- `tx, err := r.DB.Beginx()`\n   102→- Run all three operations on `tx`\n   103→- `tx.Commit()`\n   104→- Do the read-only ID resolution outside the transaction\n   105→\n   106→This reduces lock acquisitions from 3 to 1 and ensures atomicity.\n   107→\n   108→---\n   109→\n   110→## Implementation Order\n   111→\n   112→1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact\n   113→2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change\n   114→3. **Fix 2** (batch node states) — biggest contention reduction\n   115→4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction\n   116→5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation\n   117→\n   118→---\n   119→\n   120→## Verification\n   121→\n   122→1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.\n   123→2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.\n   124→3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.\n   125→4. Run `go test ./internal/repository/... ./internal/api/... ./internal/auth/...` after all changes.\n   126→5. Load test: simulate burst of 100+ concurrent job start/stop events + node state update with 500 nodes + LDAP sync running simultaneously. Monitor goroutine count and memory.\n   127→"}]},"uuid":"9de761c4-cd6e-4978-bad3-2ad8ccf0e314","timestamp":"2026-03-16T10:18:27.587Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/.claude/plans/woolly-wandering-narwhal.md","content":"# Fix: SQLite Write Contention Causing OOM Crash\n\n## Context\n\nThe server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.\n\n**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.\n\nThe cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.\n\n---\n\n## Fix 1: Increase busy_timeout (contention relief)\n\n**File:** `internal/repository/dbConnection.go:73`\n\nChange `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:\n\n**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.\n\n**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.\n\n**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.\n\nWith 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.\n\n---\n\n## Fix 2: Batch Node State Updates in a Transaction\n\nCurrently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.\n\n**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:\n- Accept a slice of `(hostname, cluster, nodeState)` tuples\n- Begin transaction\n- For each node: lookup ID (or insert node), then insert state — all within the same transaction\n- Commit once\n\n**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.\n\n**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).\n\nKeep the existing `UpdateNodeState` method for single-node use cases.\n\n---\n\n## Fix 3: Fix LDAP Sync Race Condition\n\nThe LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.\n\n**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:\n```go\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n    rolesJson, _ := json.Marshal(user.Roles)\n    projectsJson, _ := json.Marshal(user.Projects)\n    cols := \"username, name, roles, projects, ldap\"\n    _, err := r.DB.Exec(\n        `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,\n        user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n    return err\n}\n```\n\n**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.\n\nNote: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.\n\n---\n\n## Fix 4: Add Semaphore for NATS Handlers\n\nWithout rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.\n\n**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:\n```go\ntype NatsAPI struct {\n    JobRepository   *repository.JobRepository\n    RepositoryMutex sync.Mutex\n    jobSem          chan struct{}\n    nodeSem         chan struct{}\n}\n```\n\nInitialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.\n\nAdd acquire/release in `handleJobEvent` and `handleNodeState`:\n```go\napi.jobSem <- struct{}{}\ndefer func() { <-api.jobSem }()\n```\n\nThis caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.\n\n---\n\n## Fix 5: Wrap SyncJobs in a Transaction\n\n**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)\n\nCurrently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:\n- `tx, err := r.DB.Beginx()`\n- Run all three operations on `tx`\n- `tx.Commit()`\n- Do the read-only ID resolution outside the transaction\n\nThis reduces lock acquisitions from 3 to 1 and ensures atomicity.\n\n---\n\n## Implementation Order\n\n1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact\n2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change\n3. **Fix 2** (batch node states) — biggest contention reduction\n4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction\n5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation\n\n---\n\n## Verification\n\n1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.\n2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.\n3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.\n4. 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+{"parentUuid":"35cd6ce4-24fd-481c-9744-2c16c7ee2083","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HkM6fykBdPWHAiCUXwWyyJ","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"encoding/json\"\n    10→\t\"fmt\"\n    11→\n    12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    14→\tsq \"github.com/Masterminds/squirrel\"\n    15→)\n    16→\n    17→const NamedJobCacheInsert string = `INSERT INTO job_cache (\n    18→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n    19→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n    20→) VALUES (\n    21→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n    22→  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n    23→);`\n    24→\n    25→const NamedJobInsert string = `INSERT INTO job (\n    26→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n    27→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n    28→) VALUES (\n    29→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n    30→  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n    31→);`\n    32→\n    33→// InsertJobDirect inserts a job directly into the job table (not job_cache).\n    34→// Use this when the returned ID will be used for operations on the job table\n    35→// (e.g., adding tags), or for imported jobs that are already completed.\n    36→func (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n    37→\tr.Mutex.Lock()\n    38→\tdefer r.Mutex.Unlock()\n    39→\n    40→\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n    41→\tif err != nil {\n    42→\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n    43→\t\treturn 0, err\n    44→\t}\n    45→\tid, err := res.LastInsertId()\n    46→\tif err != nil {\n    47→\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n    48→\t\treturn 0, err\n    49→\t}\n    50→\n    51→\treturn id, nil\n    52→}\n    53→\n    54→func (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n    55→\tr.Mutex.Lock()\n    56→\tdefer r.Mutex.Unlock()\n    57→\n    58→\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n    59→\tif err != nil {\n    60→\t\tcclog.Warn(\"Error while NamedJobInsert\")\n    61→\t\treturn 0, err\n    62→\t}\n    63→\tid, err := res.LastInsertId()\n    64→\tif err != nil {\n    65→\t\tcclog.Warn(\"Error while getting last insert ID\")\n    66→\t\treturn 0, err\n    67→\t}\n    68→\n    69→\treturn id, nil\n    70→}\n    71→\n    72→func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n    73→\tr.Mutex.Lock()\n    74→\tdefer r.Mutex.Unlock()\n    75→\n    76→\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n    77→\n    78→\trows, err := query.RunWith(r.stmtCache).Query()\n    79→\tif err != nil {\n    80→\t\tcclog.Errorf(\"Error while running query %v\", err)\n    81→\t\treturn nil, err\n    82→\t}\n    83→\tdefer rows.Close()\n    84→\n    85→\tjobs := make([]*schema.Job, 0, 50)\n    86→\tfor rows.Next() {\n    87→\t\tjob, err := scanJob(rows)\n    88→\t\tif err != nil {\n    89→\t\t\tcclog.Warn(\"Error while scanning rows\")\n    90→\t\t\treturn nil, err\n    91→\t\t}\n    92→\t\tjobs = append(jobs, job)\n    93→\t}\n    94→\n    95→\t// Transfer cached jobs to main table and clear cache in a single transaction.\n    96→\ttx, err := r.DB.Beginx()\n    97→\tif err != nil {\n    98→\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n    99→\t\treturn nil, err\n   100→\t}\n   101→\tdefer tx.Rollback()\n   102→\n   103→\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n   104→\t_, err = tx.Exec(\n   105→\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n   106→\tif err != nil {\n   107→\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n   108→\t\treturn nil, err\n   109→\t}\n   110→\n   111→\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n   112→\tif err != nil {\n   113→\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n   114→\t\treturn nil, err\n   115→\t}\n   116→\n   117→\tif err := tx.Commit(); err != nil {\n   118→\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n   119→\t\treturn nil, err\n   120→\t}\n   121→\n   122→\t// Resolve correct job.id from the job table. The IDs read from job_cache\n   123→\t// are from a different auto-increment sequence and must not be used to\n   124→\t// query the job table.\n   125→\tfor _, job := range jobs {\n   126→\t\tvar newID int64\n   127→\t\tif err := sq.Select(\"job.id\").From(\"job\").\n   128→\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n   129→\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n   130→\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n   131→\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n   132→\t\t\t\tjob.JobID, job.Cluster, err)\n   133→\t\t\tcontinue\n   134→\t\t}\n   135→\t\tjob.ID = &newID\n   136→\t}\n   137→\n   138→\treturn jobs, nil\n   139→}\n   140→\n   141→// TransferCachedJobToMain moves a job from job_cache to the job table.\n   142→// Caller must hold r.Mutex. Returns the new job table ID.\n   143→func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n   144→\tres, err := r.DB.Exec(\n   145→\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n   146→\t\tcacheID)\n   147→\tif err != nil {\n   148→\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n   149→\t}\n   150→\n   151→\tnewID, err := res.LastInsertId()\n   152→\tif err != nil {\n   153→\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n   154→\t}\n   155→\n   156→\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n   157→\tif err != nil {\n   158→\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n   159→\t}\n   160→\n   161→\treturn newID, nil\n   162→}\n   163→\n   164→// Start inserts a new job in the table, returning the unique job ID.\n   165→// Statistics are not transfered!\n   166→func (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n   167→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   168→\tif err != nil {\n   169→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n   170→\t}\n   171→\n   172→\tjob.RawResources, err = json.Marshal(job.Resources)\n   173→\tif err != nil {\n   174→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n   175→\t}\n   176→\n   177→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n   178→\tif err != nil {\n   179→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n   180→\t}\n   181→\n   182→\treturn r.InsertJob(job)\n   183→}\n   184→\n   185→// StartDirect inserts a new job directly into the job table (not job_cache).\n   186→// Use this when the returned ID will immediately be used for job table\n   187→// operations such as adding tags.\n   188→func (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n   189→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   190→\tif err != nil {\n   191→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n   192→\t}\n   193→\n   194→\tjob.RawResources, err = json.Marshal(job.Resources)\n   195→\tif err != nil {\n   196→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n   197→\t}\n   198→\n   199→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n   200→\tif err != nil {\n   201→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n   202→\t}\n   203→\n   204→\treturn r.InsertJobDirect(job)\n   205→}\n   206→\n   207→// Stop updates the job with the database id jobId using the provided arguments.\n   208→func (r *JobRepository) Stop(\n   209→\tjobID int64,\n   210→\tduration int32,\n   211→\tstate schema.JobState,\n   212→\tmonitoringStatus int32,\n   213→) (err error) {\n   214→\t// Invalidate cache entries as job state is changing\n   215→\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n   216→\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n   217→\n   218→\tstmt := sq.Update(\"job\").\n   219→\t\tSet(\"job_state\", state).\n   220→\t\tSet(\"duration\", duration).\n   221→\t\tSet(\"monitoring_status\", monitoringStatus).\n   222→\t\tWhere(\"job.id = ?\", jobID)\n   223→\n   224→\t_, err = stmt.RunWith(r.stmtCache).Exec()\n   225→\treturn err\n   226→}\n   227→"}]},"uuid":"5d8ee9d6-b030-4c74-833d-49b9a7ebd9c3","timestamp":"2026-03-16T10:18:43.890Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"38b7eecb-8634-4eb0-a187-2d048452460b","timestamp":"2026-03-16T10:18:43.890Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"38b7eecb-8634-4eb0-a187-2d048452460b","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EKYTiA5S5dj987gevScvTS","type":"tool_result","content":"<persisted-output>\nOutput too large (49.5KB). Full output saved to: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/3a41c7a4-abf8-484b-96ae-ee5618eea5ba/tool-results/toolu_01EKYTiA5S5dj987gevScvTS.txt\n\nPreview (first 2KB):\n     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package repository provides the data access layer for cc-backend using the repository pattern.\n     7→//\n     8→// The repository pattern abstracts database operations and provides a clean interface for\n     9→// data access. Each major entity (Job, User, Node, Tag) has its own repository with CRUD\n    10→// operations and specialized queries.\n    11→//\n    12→// # Database Connection\n    13→//\n    14→// Initialize the database connection before using any repository:\n    15→//\n    16→//\trepository.Connect(\"sqlite3\", \"./var/job.db\")\n    17→//\n    18→// # Configuration\n    19→//\n    20→// Optional: Configure repository settings before initialization:\n    21→//\n    22→//\trepository.SetConfig(&repository.RepositoryConfig{\n    23→//\t    CacheSize: 2 * 1024 * 1024,     // 2MB cache\n    24→//\t    MaxOpenConnections: 8,           // Connection pool size\n    25→//\t    MinRunningJobDuration: 300,      // Filter threshold\n    26→//\t})\n    27→//\n    28→// If not configured, sensible defaults are used automatically.\n    29→//\n    30→// # Repositories\n    31→//\n    32→//   - JobRepository: Job lifecycle management and querying\n    33→//   - UserRepository: User management and authentication\n    34→//   - NodeRepository: Cluster node state tracking\n    35→//   - Tags: Job tagging and categorization\n    36→//\n    37→// # Caching\n    38→//\n    39→// Repositories use LRU caching to improve performance. Cache keys are constructed\n    40→// as \"type:id\" (e.g., \"metadata:123\"). Cache is automatically invalidated on\n    41→// mutations to maintain consistency.\n    42→//\n    43→// # Transaction Support\n    44→//\n    45→// For batch operations, use transactions:\n    46→//\n    47→//\tt, err := jobRepo.TransactionInit()\n...\n</persisted-output>"}]},"uuid":"2d340f9e-3460-4d05-a652-9b2aa3482e6a","timestamp":"2026-03-16T10:18:44.008Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"73dc0e40-cc6c-499a-a987-9e066c064607","timestamp":"2026-03-16T10:18:44.083Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"73dc0e40-cc6c-499a-a987-9e066c064607","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:44.098Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01CGzHX4WVBQLFwrxRcpSCfL","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01D4EbLUUdwazYptjDjNVKDR","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":5652,"cache_read_input_tokens":13439,"cache_creation":{"ephemeral_5m_input_tokens":5652,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6LQyLqEj2BXvkCr4W","uuid":"08205c4a-738a-47a7-bf53-d42e8e04d164"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"0f4fe58e-47c2-4e9a-bf48-c169cc66b6bb","timestamp":"2026-03-16T10:18:44.098Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"0f4fe58e-47c2-4e9a-bf48-c169cc66b6bb","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01D4EbLUUdwazYptjDjNVKDR","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package repository\n     6→\n     7→import (\n     8→\t\"context\"\n     9→\t\"database/sql\"\n    10→\t\"encoding/json\"\n    11→\t\"errors\"\n    12→\t\"fmt\"\n    13→\t\"reflect\"\n    14→\t\"strings\"\n    15→\t\"sync\"\n    16→\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→\tsq \"github.com/Masterminds/squirrel\"\n    22→\t\"github.com/jmoiron/sqlx\"\n    23→\t\"golang.org/x/crypto/bcrypt\"\n    24→)\n    25→\n    26→// Authentication and Role System:\n    27→//\n    28→// ClusterCockpit supports multiple authentication sources:\n    29→//   - Local: Username/password stored in database (password hashed with bcrypt)\n    30→//   - LDAP: External LDAP/Active Directory authentication\n    31→//   - JWT: Token-based authentication for API access\n    32→//\n    33→// Role Hierarchy (from highest to lowest privilege):\n    34→//   1. \"admin\" - Full system access, can manage all users and jobs\n    35→//   2. \"support\" - Can view all jobs but limited management capabilities\n    36→//   3. \"manager\" - Can manage specific projects and their users\n    37→//   4. \"api\" - Programmatic access for job submission/management\n    38→//   5. \"user\" - Default role, can only view own jobs\n    39→//\n    40→// Project Association:\n    41→//   - Managers have a list of projects they oversee\n    42→//   - Regular users' project membership is determined by job data\n    43→//   - Managers can view/manage all jobs within their projects\n    44→\n    45→var (\n    46→\tuserRepoOnce     sync.Once\n    47→\tuserRepoInstance *UserRepository\n    48→)\n    49→\n    50→type UserRepository struct {\n    51→\tDB     *sqlx.DB\n    52→\tdriver string\n    53→}\n    54→\n    55→func GetUserRepository() *UserRepository {\n    56→\tuserRepoOnce.Do(func() {\n    57→\t\tdb := GetConnection()\n    58→\n    59→\t\tuserRepoInstance = &UserRepository{\n    60→\t\t\tDB:     db.DB,\n    61→\t\t\tdriver: db.Driver,\n    62→\t\t}\n    63→\t})\n    64→\treturn userRepoInstance\n    65→}\n    66→\n    67→// GetUser retrieves a user by username from the database.\n    68→// Returns the complete user record including hashed password, roles, and projects.\n    69→// Password field contains bcrypt hash for local auth users, empty for LDAP users.\n    70→func (r *UserRepository) GetUser(username string) (*schema.User, error) {\n    71→\tuser := &schema.User{Username: username}\n    72→\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n    73→\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n    74→\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n    75→\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n    76→\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n    77→\t\treturn nil, err\n    78→\t}\n    79→\n    80→\tuser.Password = hashedPassword.String\n    81→\tuser.Name = name.String\n    82→\tuser.Email = email.String\n    83→\tif rawRoles.Valid {\n    84→\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n    85→\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n    86→\t\t\treturn nil, err\n    87→\t\t}\n    88→\t}\n    89→\tif rawProjects.Valid {\n    90→\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n    91→\t\t\treturn nil, err\n    92→\t\t}\n    93→\t}\n    94→\n    95→\treturn user, nil\n    96→}\n    97→\n    98→func (r *UserRepository) GetLdapUsernames() ([]string, error) {\n    99→\tvar users []string\n   100→\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n   101→\tif err != nil {\n   102→\t\tcclog.Warn(\"Error while querying usernames\")\n   103→\t\treturn nil, err\n   104→\t}\n   105→\tdefer rows.Close()\n   106→\n   107→\tfor rows.Next() {\n   108→\t\tvar username string\n   109→\t\tif err := rows.Scan(&username); err != nil {\n   110→\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n   111→\t\t\treturn nil, err\n   112→\t\t}\n   113→\n   114→\t\tusers = append(users, username)\n   115→\t}\n   116→\n   117→\treturn users, nil\n   118→}\n   119→\n   120→// AddUser creates a new user in the database.\n   121→// Passwords are automatically hashed with bcrypt before storage.\n   122→// Auth source determines authentication method (local, LDAP, etc.).\n   123→//\n   124→// Required fields: Username, Roles\n   125→// Optional fields: Name, Email, Password, Projects, AuthSource\n   126→func (r *UserRepository) AddUser(user *schema.User) error {\n   127→\trolesJson, _ := json.Marshal(user.Roles)\n   128→\tprojectsJson, _ := json.Marshal(user.Projects)\n   129→\n   130→\tcols := []string{\"username\", \"roles\", \"projects\"}\n   131→\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n   132→\n   133→\tif user.Name != \"\" {\n   134→\t\tcols = append(cols, \"name\")\n   135→\t\tvals = append(vals, user.Name)\n   136→\t}\n   137→\tif user.Email != \"\" {\n   138→\t\tcols = append(cols, \"email\")\n   139→\t\tvals = append(vals, user.Email)\n   140→\t}\n   141→\tif user.Password != \"\" {\n   142→\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n   143→\t\tif err != nil {\n   144→\t\t\tcclog.Error(\"Error while encrypting new user password\")\n   145→\t\t\treturn err\n   146→\t\t}\n   147→\t\tcols = append(cols, \"password\")\n   148→\t\tvals = append(vals, string(password))\n   149→\t}\n   150→\tif user.AuthSource != -1 {\n   151→\t\tcols = append(cols, \"ldap\")\n   152→\t\tvals = append(vals, int(user.AuthSource))\n   153→\t}\n   154→\n   155→\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n   156→\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n   157→\t\treturn err\n   158→\t}\n   159→\n   160→\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n   161→\n   162→\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n   163→\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n   164→\tif err != nil {\n   165→\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n   166→\t} else if defaultMetricsCfg != nil {\n   167→\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n   168→\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n   169→\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n   170→\t\t\tif err != nil {\n   171→\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n   172→\t\t\t\tcontinue\n   173→\t\t\t}\n   174→\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n   175→\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n   176→\t\t\tif _, err := sq.Insert(\"configuration\").\n   177→\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n   178→\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n   179→\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n   180→\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n   181→\t\t\t} else {\n   182→\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n   183→\t\t\t}\n   184→\t\t}\n   185→\t}\n   186→\t// END DEPRECATION\n   187→\n   188→\treturn nil\n   189→}\n   190→\n   191→// AddUserIfNotExists inserts a user only if the username does not already exist.\n   192→// Uses INSERT OR IGNORE to avoid UNIQUE constraint errors when a user is\n   193→// concurrently created (e.g., by a login while LDAP sync is running).\n   194→// Unlike AddUser, this intentionally skips the deprecated default metrics config insertion.\n   195→func (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n   196→\trolesJson, _ := json.Marshal(user.Roles)\n   197→\tprojectsJson, _ := json.Marshal(user.Projects)\n   198→\n   199→\tcols := \"username, name, roles, projects, ldap\"\n   200→\t_, err := r.DB.Exec(\n   201→\t\t`INSERT OR IGNORE INTO hpc_user (`+cols+`) VALUES (?, ?, ?, ?, ?)`,\n   202→\t\tuser.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n   203→\treturn err\n   204→}\n   205→\n   206→func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n   207→\t// user contains updated info -> Apply to dbUser\n   208→\t// --- Simple Name Update ---\n   209→\tif dbUser.Name != user.Name {\n   210→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n   211→\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n   212→\t\t\treturn err\n   213→\t\t}\n   214→\t}\n   215→\n   216→\t// --- Def Helpers ---\n   217→\t// Helper to update roles\n   218→\tupdateRoles := func(roles []string) error {\n   219→\t\trolesJSON, _ := json.Marshal(roles)\n   220→\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n   221→\t\treturn err\n   222→\t}\n   223→\n   224→\t// Helper to update projects\n   225→\tupdateProjects := func(projects []string) error {\n   226→\t\tprojectsJSON, _ := json.Marshal(projects)\n   227→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n   228→\t\treturn err\n   229→\t}\n   230→\n   231→\t// Helper to clear projects\n   232→\tclearProjects := func() error {\n   233→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n   234→\t\treturn err\n   235→\t}\n   236→\n   237→\t// --- Manager Role Handling ---\n   238→\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n   239→\t\t// Existing Manager: update projects\n   240→\t\tif err := updateProjects(user.Projects); err != nil {\n   241→\t\t\treturn err\n   242→\t\t}\n   243→\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n   244→\t\t// New Manager: update roles and projects\n   245→\t\tif err := updateRoles(user.Roles); err != nil {\n   246→\t\t\treturn err\n   247→\t\t}\n   248→\t\tif err := updateProjects(user.Projects); err != nil {\n   249→\t\t\treturn err\n   250→\t\t}\n   251→\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n   252→\t\t// Remove Manager: update roles and clear projects\n   253→\t\tif err := updateRoles(user.Roles); err != nil {\n   254→\t\t\treturn err\n   255→\t\t}\n   256→\t\tif err := clearProjects(); err != nil {\n   257→\t\t\treturn err\n   258→\t\t}\n   259→\t}\n   260→\n   261→\t// --- Support Role Handling ---\n   262→\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n   263→\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n   264→\t\t// New Support: update roles\n   265→\t\tif err := updateRoles(user.Roles); err != nil {\n   266→\t\t\treturn err\n   267→\t\t}\n   268→\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n   269→\t\t// Remove Support: update roles\n   270→\t\tif err := updateRoles(user.Roles); err != nil {\n   271→\t\t\treturn err\n   272→\t\t}\n   273→\t}\n   274→\n   275→\treturn nil\n   276→}\n   277→\n   278→func (r *UserRepository) DelUser(username string) error {\n   279→\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n   280→\tif err != nil {\n   281→\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n   282→\t\treturn err\n   283→\t}\n   284→\tcclog.Infof(\"deleted user '%s' from DB\", username)\n   285→\treturn nil\n   286→}\n   287→\n   288→func (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n   289→\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n   290→\tif specialsOnly {\n   291→\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n   292→\t}\n   293→\n   294→\trows, err := q.RunWith(r.DB).Query()\n   295→\tif err != nil {\n   296→\t\tcclog.Warn(\"Error while querying user list\")\n   297→\t\treturn nil, err\n   298→\t}\n   299→\n   300→\tusers := make([]*schema.User, 0)\n   301→\tdefer rows.Close()\n   302→\tfor rows.Next() {\n   303→\t\trawroles := \"\"\n   304→\t\trawprojects := \"\"\n   305→\t\tuser := &schema.User{}\n   306→\t\tvar name, email sql.NullString\n   307→\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n   308→\t\t\tcclog.Warn(\"Error while scanning user list\")\n   309→\t\t\treturn nil, err\n   310→\t\t}\n   311→\n   312→\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n   313→\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n   314→\t\t\treturn nil, err\n   315→\t\t}\n   316→\n   317→\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n   318→\t\t\treturn nil, err\n   319→\t\t}\n   320→\n   321→\t\tuser.Name = name.String\n   322→\t\tuser.Email = email.String\n   323→\t\tusers = append(users, user)\n   324→\t}\n   325→\treturn users, nil\n   326→}\n   327→\n   328→// AddRole adds a role to a user's role list.\n   329→// Role string is automatically lowercased.\n   330→// Valid roles: admin, support, manager, api, user\n   331→//\n   332→// Returns error if:\n   333→//   - User doesn't exist\n   334→//   - Role is invalid\n   335→//   - User already has the role\n   336→func (r *UserRepository) AddRole(\n   337→\tctx context.Context,\n   338→\tusername string,\n   339→\tqueryrole string,\n   340→) error {\n   341→\tnewRole := strings.ToLower(queryrole)\n   342→\tuser, err := r.GetUser(username)\n   343→\tif err != nil {\n   344→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n   345→\t\treturn err\n   346→\t}\n   347→\n   348→\texists, valid := user.HasValidRole(newRole)\n   349→\n   350→\tif !valid {\n   351→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n   352→\t}\n   353→\tif exists {\n   354→\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n   355→\t}\n   356→\n   357→\troles, _ := json.Marshal(append(user.Roles, newRole))\n   358→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n   359→\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n   360→\t\treturn err\n   361→\t}\n   362→\treturn nil\n   363→}\n   364→\n   365→// RemoveRole removes a role from a user's role list.\n   366→//\n   367→// Special rules:\n   368→//   - Cannot remove \"manager\" role while user has assigned projects\n   369→//   - Must remove all projects first before removing manager role\n   370→func (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n   371→\toldRole := strings.ToLower(queryrole)\n   372→\tuser, err := r.GetUser(username)\n   373→\tif err != nil {\n   374→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n   375→\t\treturn err\n   376→\t}\n   377→\n   378→\texists, valid := user.HasValidRole(oldRole)\n   379→\n   380→\tif !valid {\n   381→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n   382→\t}\n   383→\tif !exists {\n   384→\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n   385→\t}\n   386→\n   387→\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n   388→\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n   389→\t}\n   390→\n   391→\tvar newroles []string\n   392→\tfor _, r := range user.Roles {\n   393→\t\tif r != oldRole {\n   394→\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n   395→\t\t}\n   396→\t}\n   397→\n   398→\tmroles, _ := json.Marshal(newroles)\n   399→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n   400→\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n   401→\t\treturn err\n   402→\t}\n   403→\treturn nil\n   404→}\n   405→\n   406→// AddProject assigns a project to a manager user.\n   407→// Only users with the \"manager\" role can have assigned projects.\n   408→//\n   409→// Returns error if:\n   410→//   - User doesn't have manager role\n   411→//   - User already manages the project\n   412→func (r *UserRepository) AddProject(\n   413→\tctx context.Context,\n   414→\tusername string,\n   415→\tproject string,\n   416→) error {\n   417→\tuser, err := r.GetUser(username)\n   418→\tif err != nil {\n   419→\t\treturn err\n   420→\t}\n   421→\n   422→\tif !user.HasRole(schema.RoleManager) {\n   423→\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n   424→\t}\n   425→\n   426→\tif user.HasProject(project) {\n   427→\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n   428→\t}\n   429→\n   430→\tprojects, _ := json.Marshal(append(user.Projects, project))\n   431→\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n   432→\t\treturn err\n   433→\t}\n   434→\n   435→\treturn nil\n   436→}\n   437→\n   438→func (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n   439→\tuser, err := r.GetUser(username)\n   440→\tif err != nil {\n   441→\t\treturn err\n   442→\t}\n   443→\n   444→\tif !user.HasRole(schema.RoleManager) {\n   445→\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n   446→\t}\n   447→\n   448→\tif !user.HasProject(project) {\n   449→\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n   450→\t}\n   451→\n   452→\tvar exists bool\n   453→\tvar newprojects []string\n   454→\tfor _, p := range user.Projects {\n   455→\t\tif p != project {\n   456→\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n   457→\t\t} else {\n   458→\t\t\texists = true\n   459→\t\t}\n   460→\t}\n   461→\n   462→\tif exists {\n   463→\t\tvar result any\n   464→\t\tif len(newprojects) == 0 {\n   465→\t\t\tresult = \"[]\"\n   466→\t\t} else {\n   467→\t\t\tresult, _ = json.Marshal(newprojects)\n   468→\t\t}\n   469→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n   470→\t\t\treturn err\n   471→\t\t}\n   472→\t\treturn nil\n   473→\t} else {\n   474→\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n   475→\t}\n   476→}\n   477→\n   478→type ContextKey string\n   479→\n   480→const ContextUserKey ContextKey = \"user\"\n   481→\n   482→func GetUserFromContext(ctx context.Context) *schema.User {\n   483→\tx := ctx.Value(ContextUserKey)\n   484→\tif x == nil {\n   485→\t\tcclog.Warnf(\"no user retrieved from context\")\n   486→\t\treturn nil\n   487→\t}\n   488→\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n   489→\treturn x.(*schema.User)\n   490→}\n   491→\n   492→func (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n   493→\tme := GetUserFromContext(ctx)\n   494→\tif me != nil && me.Username != username &&\n   495→\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n   496→\t\treturn nil, errors.New(\"forbidden\")\n   497→\t}\n   498→\n   499→\tuser := &model.User{Username: username}\n   500→\tvar name, email sql.NullString\n   501→\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n   502→\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n   503→\t\tif err == sql.ErrNoRows {\n   504→\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n   505→\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n   506→\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n   507→\t\t\treturn nil, nil\n   508→\t\t}\n   509→\n   510→\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n   511→\t\treturn nil, err\n   512→\t}\n   513→\n   514→\tuser.Name = name.String\n   515→\tuser.Email = email.String\n   516→\treturn user, nil\n   517→}\n   518→"}]},"uuid":"acc33023-5fb3-4a2e-bc0a-09f9a5175147","timestamp":"2026-03-16T10:18:44.100Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"cf0bd62a-75bb-4783-80e7-f26ff298ad36","timestamp":"2026-03-16T10:18:44.100Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"d570e5c0-22d1-45a6-a985-b96261b56ea9","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HdDYxxDmAcUknFk1iAMFhS","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package repository provides data access and persistence layer for ClusterCockpit.\n     7→//\n     8→// This file implements tag management functionality for job categorization and classification.\n     9→// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n    10→// (via tagger plugins). The implementation includes role-based access control through\n    11→// tag scopes and maintains bidirectional consistency between the SQL database and\n    12→// the file-based job archive.\n    13→//\n    14→// Database Schema:\n    15→//\n    16→//\tCREATE TABLE tag (\n    17→//\t    id INTEGER PRIMARY KEY AUTOINCREMENT,\n    18→//\t    tag_type VARCHAR(255) NOT NULL,\n    19→//\t    tag_name VARCHAR(255) NOT NULL,\n    20→//\t    tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n    21→//\t    CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n    22→//\t);\n    23→//\n    24→//\tCREATE TABLE jobtag (\n    25→//\t    job_id INTEGER,\n    26→//\t    tag_id INTEGER,\n    27→//\t    PRIMARY KEY (job_id, tag_id),\n    28→//\t    FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n    29→//\t    FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n    30→//\t);\n    31→//\n    32→// The jobtag junction table enables many-to-many relationships between jobs and tags.\n    33→// CASCADE deletion ensures referential integrity when jobs or tags are removed.\n    34→package repository\n    35→\n    36→import (\n    37→\t\"errors\"\n    38→\t\"fmt\"\n    39→\t\"strings\"\n    40→\n    41→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    42→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    43→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    44→\tsq \"github.com/Masterminds/squirrel\"\n    45→)\n    46→\n    47→// Tag Scope Rules:\n    48→//\n    49→// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n    50→//\n    51→//  1. \"global\" - Visible to all users, can be used by anyone\n    52→//     Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n    53→//\n    54→//  2. \"private\" - Only visible to the creating user\n    55→//     Example: Personal notes like \"needs-review\", \"interesting-case\"\n    56→//\n    57→//  3. \"admin\" - Only visible to users with admin or support roles\n    58→//     Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n    59→//\n    60→// Authorization Rules:\n    61→//   - Regular users can only create/see \"global\" and their own \"private\" tags\n    62→//   - Admin/Support can create/see all scopes including \"admin\" tags\n    63→//   - Users can only add tags to jobs they have permission to view\n    64→//   - Tag scope is enforced at query time in GetTags() and CountTags()\n    65→\n    66→// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n    67→// Requires user authentication for security checks.\n    68→//\n    69→// The user must have permission to view the job. Tag visibility is determined by scope:\n    70→//   - \"global\" tags: visible to all users\n    71→//   - \"private\" tags: only visible to the tag creator\n    72→//   - \"admin\" tags: only visible to admin/support users\n    73→func (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n    74→\tj, err := r.FindByIDWithUser(user, job)\n    75→\tif err != nil {\n    76→\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n    77→\t\treturn nil, err\n    78→\t}\n    79→\n    80→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n    81→\t\treturn r.GetTags(user, &job)\n    82→\t})\n    83→}\n    84→\n    85→// AddTagDirect adds a tag without user security checks.\n    86→// Use only for internal/admin operations.\n    87→func (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n    88→\tj, err := r.FindByIDDirect(job)\n    89→\tif err != nil {\n    90→\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n    91→\t\treturn nil, err\n    92→\t}\n    93→\n    94→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n    95→\t\treturn r.GetTagsDirect(&job)\n    96→\t})\n    97→}\n    98→\n    99→// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n   100→// Requires user authentication for security checks. Used by GraphQL API.\n   101→func (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n   102→\tj, err := r.FindByIDWithUser(user, job)\n   103→\tif err != nil {\n   104→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n   105→\t\treturn nil, err\n   106→\t}\n   107→\n   108→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n   109→\n   110→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   111→\t\ts, _, _ := q.ToSql()\n   112→\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n   113→\t\treturn nil, err\n   114→\t}\n   115→\n   116→\ttags, err := r.GetTags(user, &job)\n   117→\tif err != nil {\n   118→\t\tcclog.Warn(\"Error while getting tags for job\")\n   119→\t\treturn nil, err\n   120→\t}\n   121→\n   122→\tarchiveTags, err := r.getArchiveTags(&job)\n   123→\tif err != nil {\n   124→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n   125→\t\treturn nil, err\n   126→\t}\n   127→\n   128→\treturn tags, archive.UpdateTags(j, archiveTags)\n   129→}\n   130→\n   131→// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n   132→// Requires user authentication for security checks. Used by REST API.\n   133→func (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n   134→\t// Get Tag ID to delete\n   135→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   136→\tif !exists {\n   137→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   138→\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   139→\t}\n   140→\n   141→\t// Get Job\n   142→\tj, err := r.FindByIDWithUser(user, job)\n   143→\tif err != nil {\n   144→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n   145→\t\treturn nil, err\n   146→\t}\n   147→\n   148→\t// Handle Delete\n   149→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n   150→\n   151→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   152→\t\ts, _, _ := q.ToSql()\n   153→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n   154→\t\treturn nil, err\n   155→\t}\n   156→\n   157→\ttags, err := r.GetTags(user, &job)\n   158→\tif err != nil {\n   159→\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n   160→\t\treturn nil, err\n   161→\t}\n   162→\n   163→\tarchiveTags, err := r.getArchiveTags(&job)\n   164→\tif err != nil {\n   165→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n   166→\t\treturn nil, err\n   167→\t}\n   168→\n   169→\treturn tags, archive.UpdateTags(j, archiveTags)\n   170→}\n   171→\n   172→// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n   173→//\n   174→// This function is called asynchronously (via goroutine) after removing a tag from the database\n   175→// to synchronize the file-based job archive with the database state. Errors are logged but not\n   176→// returned since this runs in the background.\n   177→//\n   178→// Parameters:\n   179→//   - jobIds: Database IDs of all jobs that had the deleted tag\n   180→//\n   181→// Implementation note: Each job is processed individually to handle partial failures gracefully.\n   182→// If one job fails to update, others will still be processed.\n   183→func (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n   184→\tfor _, j := range jobIds {\n   185→\t\ttags, err := r.getArchiveTags(&j)\n   186→\t\tif err != nil {\n   187→\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n   188→\t\t\tcontinue\n   189→\t\t}\n   190→\n   191→\t\tjob, err := r.FindByIDDirect(j)\n   192→\t\tif err != nil {\n   193→\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n   194→\t\t\tcontinue\n   195→\t\t}\n   196→\n   197→\t\tarchive.UpdateTags(job, tags)\n   198→\t}\n   199→}\n   200→\n   201→// Removes a tag from db by tag info\n   202→// Used by REST API. Does not update tagged jobs in Job archive.\n   203→func (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n   204→\t// Get Tag ID to delete\n   205→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   206→\tif !exists {\n   207→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   208→\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   209→\t}\n   210→\n   211→\treturn r.RemoveTagByID(tagID)\n   212→}\n   213→\n   214→// Removes a tag from db by tag id\n   215→// Used by GraphQL API.\n   216→func (r *JobRepository) RemoveTagByID(tagID int64) error {\n   217→\tjobIds, err := r.FindJobIdsByTag(tagID)\n   218→\tif err != nil {\n   219→\t\treturn err\n   220→\t}\n   221→\n   222→\t// Handle Delete JobTagTable\n   223→\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n   224→\n   225→\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n   226→\t\ts, _, _ := qJobTag.ToSql()\n   227→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n   228→\t\treturn err\n   229→\t}\n   230→\n   231→\t// Handle Delete TagTable\n   232→\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n   233→\n   234→\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n   235→\t\ts, _, _ := qTag.ToSql()\n   236→\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n   237→\t\treturn err\n   238→\t}\n   239→\n   240→\t// asynchronously update archive jobs\n   241→\tgo r.removeTagFromArchiveJobs(jobIds)\n   242→\n   243→\treturn nil\n   244→}\n   245→\n   246→// CreateTag creates a new tag with the specified type, name, and scope.\n   247→// Returns the database ID of the newly created tag.\n   248→//\n   249→// Scope defaults to \"global\" if empty string is provided.\n   250→// Valid scopes: \"global\", \"private\", \"admin\"\n   251→//\n   252→// Example:\n   253→//\n   254→//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\n   255→func (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n   256→\t// Default to \"Global\" scope if none defined\n   257→\tif tagScope == \"\" {\n   258→\t\ttagScope = \"global\"\n   259→\t}\n   260→\n   261→\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n   262→\n   263→\tres, err := q.RunWith(r.stmtCache).Exec()\n   264→\tif err != nil {\n   265→\t\ts, _, _ := q.ToSql()\n   266→\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n   267→\t\treturn 0, err\n   268→\t}\n   269→\n   270→\treturn res.LastInsertId()\n   271→}\n   272→\n   273→// CountTags returns all tags visible to the user and the count of jobs for each tag.\n   274→// Applies scope-based filtering to respect tag visibility rules.\n   275→//\n   276→// Returns:\n   277→//   - tags: slice of tags the user can see\n   278→//   - counts: map of tag name to job count\n   279→//   - err: any error encountered\n   280→func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n   281→\ttags = make([]schema.Tag, 0, 100)\n   282→\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n   283→\tif err != nil {\n   284→\t\treturn nil, nil, err\n   285→\t}\n   286→\tdefer xrows.Close()\n   287→\n   288→\tfor xrows.Next() {\n   289→\t\tvar t schema.Tag\n   290→\t\tif err = xrows.StructScan(&t); err != nil {\n   291→\t\t\treturn nil, nil, err\n   292→\t\t}\n   293→\n   294→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n   295→\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n   296→\t\tif err != nil {\n   297→\t\t\treturn nil, nil, err\n   298→\t\t}\n   299→\t\tif readable {\n   300→\t\t\ttags = append(tags, t)\n   301→\t\t}\n   302→\t}\n   303→\n   304→\tif err := xrows.Err(); err != nil {\n   305→\t\treturn nil, nil, err\n   306→\t}\n   307→\n   308→\t// Query and Count Jobs with attached Tags\n   309→\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n   310→\t\tFrom(\"tag t\").\n   311→\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n   312→\t\tGroupBy(\"t.tag_type, t.tag_name\")\n   313→\n   314→\t// Build scope list for filtering\n   315→\tvar scopeBuilder strings.Builder\n   316→\tscopeBuilder.WriteString(`\"global\"`)\n   317→\tif user != nil {\n   318→\t\tscopeBuilder.WriteString(`,\"`)\n   319→\t\tscopeBuilder.WriteString(user.Username)\n   320→\t\tscopeBuilder.WriteString(`\"`)\n   321→\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n   322→\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n   323→\t\t}\n   324→\t}\n   325→\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n   326→\n   327→\t// Handle Job Ownership\n   328→\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n   329→\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n   330→\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n   331→\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n   332→\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n   333→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n   334→\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n   335→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n   336→\t}\n   337→\n   338→\trows, err := q.RunWith(r.stmtCache).Query()\n   339→\tif err != nil {\n   340→\t\treturn nil, nil, err\n   341→\t}\n   342→\tdefer rows.Close()\n   343→\n   344→\tcounts = make(map[string]int)\n   345→\tfor rows.Next() {\n   346→\t\tvar tagType string\n   347→\t\tvar tagName string\n   348→\t\tvar tagID int\n   349→\t\tvar count int\n   350→\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n   351→\t\t\treturn nil, nil, err\n   352→\t\t}\n   353→\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n   354→\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n   355→\t}\n   356→\terr = rows.Err()\n   357→\n   358→\treturn tags, counts, err\n   359→}\n   360→\n   361→var (\n   362→\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n   363→\tErrTagNotFound = errors.New(\"the tag does not exist\")\n   364→\n   365→\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n   366→\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n   367→\n   368→\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n   369→\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n   370→\n   371→\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n   372→\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n   373→\n   374→\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n   375→\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n   376→\n   377→\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n   378→\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n   379→)\n   380→\n   381→// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n   382→//\n   383→// This function performs three operations atomically:\n   384→//  1. Inserts the job-tag association into the jobtag junction table\n   385→//  2. Retrieves the updated tag list for the job (using the provided getTags callback)\n   386→//  3. Updates the job archive with the new tags to maintain database-archive consistency\n   387→//\n   388→// Parameters:\n   389→//   - jobId: Database ID of the job\n   390→//   - tagId: Database ID of the tag to associate\n   391→//   - job: Full job object needed for archive update\n   392→//   - getTags: Callback function to retrieve updated tags (allows different security contexts)\n   393→//\n   394→// Returns the complete updated tag list for the job or an error.\n   395→//\n   396→// Note: This function does NOT validate tag scope permissions - callers must perform\n   397→// authorization checks before invoking this helper.\n   398→func (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n   399→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n   400→\n   401→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   402→\t\ts, _, _ := q.ToSql()\n   403→\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n   404→\t\treturn nil, err\n   405→\t}\n   406→\n   407→\ttags, err := getTags()\n   408→\tif err != nil {\n   409→\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n   410→\t\treturn nil, err\n   411→\t}\n   412→\n   413→\tarchiveTags, err := r.getArchiveTags(&jobID)\n   414→\tif err != nil {\n   415→\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n   416→\t\treturn nil, err\n   417→\t}\n   418→\n   419→\treturn tags, archive.UpdateTags(job, archiveTags)\n   420→}\n   421→\n   422→// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n   423→// If such a tag does not yet exist, it is created.\n   424→func (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n   425→\t// Default to \"Global\" scope if none defined\n   426→\tif tagScope == \"\" {\n   427→\t\ttagScope = \"global\"\n   428→\t}\n   429→\n   430→\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n   431→\tif err != nil {\n   432→\t\treturn 0, err\n   433→\t}\n   434→\tif !writable {\n   435→\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n   436→\t}\n   437→\n   438→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   439→\tif !exists {\n   440→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n   441→\t\tif err != nil {\n   442→\t\t\treturn 0, err\n   443→\t\t}\n   444→\t}\n   445→\n   446→\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n   447→\t\treturn 0, err\n   448→\t}\n   449→\n   450→\treturn tagID, nil\n   451→}\n   452→\n   453→func (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n   454→\ttagScope := \"global\"\n   455→\n   456→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   457→\tif !exists {\n   458→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n   459→\t\tif err != nil {\n   460→\t\t\treturn 0, err\n   461→\t\t}\n   462→\t}\n   463→\n   464→\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n   465→\n   466→\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n   467→\t\treturn 0, err\n   468→\t}\n   469→\n   470→\treturn tagID, nil\n   471→}\n   472→\n   473→func (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n   474→\tvar id int64\n   475→\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n   476→\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n   477→\t\tWhere(\"tag.tag_name = ?\", tagName)\n   478→\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n   479→\tif err != nil {\n   480→\t\treturn false\n   481→\t} else {\n   482→\t\treturn true\n   483→\t}\n   484→}\n   485→\n   486→// TagID returns the database id of the tag with the specified type and name.\n   487→func (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n   488→\texists = true\n   489→\tif err := sq.Select(\"id\").From(\"tag\").\n   490→\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n   491→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n   492→\t\texists = false\n   493→\t}\n   494→\treturn\n   495→}\n   496→\n   497→// TagInfo returns the database infos of the tag with the specified id.\n   498→func (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n   499→\texists = true\n   500→\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n   501→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n   502→\t\texists = false\n   503→\t}\n   504→\treturn\n   505→}\n   506→\n   507→// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\n   508→func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n   509→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n   510→\tif job != nil {\n   511→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n   512→\t}\n   513→\n   514→\trows, err := q.RunWith(r.stmtCache).Query()\n   515→\tif err != nil {\n   516→\t\ts, _, _ := q.ToSql()\n   517→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n   518→\t\treturn nil, err\n   519→\t}\n   520→\tdefer rows.Close()\n   521→\n   522→\ttags := make([]*schema.Tag, 0)\n   523→\tfor rows.Next() {\n   524→\t\ttag := &schema.Tag{}\n   525→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n   526→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n   527→\t\t\treturn nil, err\n   528→\t\t}\n   529→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n   530→\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n   531→\t\tif err != nil {\n   532→\t\t\treturn nil, err\n   533→\t\t}\n   534→\t\tif readable {\n   535→\t\t\ttags = append(tags, tag)\n   536→\t\t}\n   537→\t}\n   538→\n   539→\tif err := rows.Err(); err != nil {\n   540→\t\treturn nil, err\n   541→\t}\n   542→\n   543→\treturn tags, nil\n   544→}\n   545→\n   546→func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n   547→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n   548→\tif job != nil {\n   549→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n   550→\t}\n   551→\n   552→\trows, err := q.RunWith(r.stmtCache).Query()\n   553→\tif err != nil {\n   554→\t\ts, _, _ := q.ToSql()\n   555→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n   556→\t\treturn nil, err\n   557→\t}\n   558→\tdefer rows.Close()\n   559→\n   560→\ttags := make([]*schema.Tag, 0)\n   561→\tfor rows.Next() {\n   562→\t\ttag := &schema.Tag{}\n   563→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n   564→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n   565→\t\t\treturn nil, err\n   566→\t\t}\n   567→\t\ttags = append(tags, tag)\n   568→\t}\n   569→\n   570→\tif err := rows.Err(); err != nil {\n   571→\t\treturn nil, err\n   572→\t}\n   573→\n   574→\treturn tags, nil\n   575→}\n   576→\n   577→// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n   578→//\n   579→// This internal function is used exclusively for job archive synchronization where we need\n   580→// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n   581→// filters by scope, this returns the complete unfiltered tag list.\n   582→//\n   583→// Parameters:\n   584→//   - job: Pointer to job database ID, or nil to return all tags in the system\n   585→//\n   586→// Returns all tags without scope filtering, used only for archive operations.\n   587→//\n   588→// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\n   589→func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n   590→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n   591→\tif job != nil {\n   592→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n   593→\t}\n   594→\n   595→\trows, err := q.RunWith(r.stmtCache).Query()\n   596→\tif err != nil {\n   597→\t\ts, _, _ := q.ToSql()\n   598→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n   599→\t\treturn nil, err\n   600→\t}\n   601→\tdefer rows.Close()\n   602→\n   603→\ttags := make([]*schema.Tag, 0)\n   604→\tfor rows.Next() {\n   605→\t\ttag := &schema.Tag{}\n   606→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n   607→\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n   608→\t\t\treturn nil, err\n   609→\t\t}\n   610→\t\ttags = append(tags, tag)\n   611→\t}\n   612→\n   613→\tif err := rows.Err(); err != nil {\n   614→\t\treturn nil, err\n   615→\t}\n   616→\n   617→\treturn tags, nil\n   618→}\n   619→\n   620→func (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n   621→\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n   622→\n   623→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   624→\tif !exists {\n   625→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n   626→\t\tif err != nil {\n   627→\t\t\treturn err\n   628→\t\t}\n   629→\t}\n   630→\n   631→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n   632→\n   633→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   634→\t\ts, _, _ := q.ToSql()\n   635→\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n   636→\t\treturn err\n   637→\t}\n   638→\n   639→\treturn nil\n   640→}\n   641→\n   642→// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n   643→//\n   644→// This function implements the tag scope authorization matrix:\n   645→//\n   646→//\tScope        | Read Access                      | Write Access\n   647→//\t-------------|----------------------------------|----------------------------------\n   648→//\t\"global\"     | All users                        | Admin, Support, API-only\n   649→//\t\"admin\"      | Admin, Support                   | Admin, API-only\n   650→//\t<username>   | Owner only                       | Owner only (private tags)\n   651→//\n   652→// Parameters:\n   653→//   - user: User attempting the operation (must not be nil)\n   654→//   - operation: Either \"read\" or \"write\"\n   655→//   - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n   656→//\n   657→// Returns:\n   658→//   - pass: true if authorized, false if denied\n   659→//   - err: error only if operation is invalid or user is nil\n   660→//\n   661→// Special cases:\n   662→//   - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n   663→//   - Private tags use the username as scope, granting exclusive access to that user\n   664→func (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n   665→\tif user != nil {\n   666→\t\tswitch {\n   667→\t\tcase operation == \"write\" && scope == \"admin\":\n   668→\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n   669→\t\t\t\treturn true, nil\n   670→\t\t\t}\n   671→\t\t\treturn false, nil\n   672→\t\tcase operation == \"write\" && scope == \"global\":\n   673→\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n   674→\t\t\t\treturn true, nil\n   675→\t\t\t}\n   676→\t\t\treturn false, nil\n   677→\t\tcase operation == \"write\" && scope == user.Username:\n   678→\t\t\treturn true, nil\n   679→\t\tcase operation == \"read\" && scope == \"admin\":\n   680→\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n   681→\t\tcase operation == \"read\" && scope == \"global\":\n   682→\t\t\treturn true, nil\n   683→\t\tcase operation == \"read\" && scope == user.Username:\n   684→\t\t\treturn true, nil\n   685→\t\tdefault:\n   686→\t\t\tif operation == \"read\" || operation == \"write\" {\n   687→\t\t\t\t// No acceptable scope: deny tag\n   688→\t\t\t\treturn false, nil\n   689→\t\t\t} else {\n   690→\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n   691→\t\t\t}\n   692→\t\t}\n   693→\t} else {\n   694→\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n   695→\t}\n   696→}\n   697→"}]},"uuid":"dce1da07-9465-4eba-87c1-bb17e6daa7b0","timestamp":"2026-03-16T10:18:44.263Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"71b5559a-4f3b-4888-87a3-f075dfb7104b","timestamp":"2026-03-16T10:18:44.281Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"71b5559a-4f3b-4888-87a3-f075dfb7104b","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"Explore the cc-backend codebase to find all periodic/scheduled tasks and background goroutines that write to the SQLite database. Look for:\n\n1. Goroutines started with `go func()` that do DB writes\n2. Ticker/timer-based loops that write to the DB\n3. Archiving operations that write to the DB\n4. Retention/cleanup operations\n5. Any cron-like scheduled operations\n\nSearch in:\n- cmd/cc-backend/ (main entry point, initialization)\n- internal/archiver/\n- internal/taskmanager/ or similar\n- internal/repository/\n- Any file with \"schedule\", \"ticker\", \"cron\", \"periodic\", \"retention\", \"cleanup\" patterns\n\nFor each, note the frequency, what DB operations it performs, and whether those operations are already batched/transacted.\n\nAlso look at the REST API file internal/api/rest.go to understand all registered routes and which ones do DB writes."}]},"uuid":"666d3bf2-3ccd-4a3d-9642-56e3e610c7c7","timestamp":"2026-03-16T10:18:44.103Z"},"type":"agent_progress","prompt":"Explore the cc-backend codebase to find all periodic/scheduled tasks and background goroutines that write to the SQLite database. Look for:\n\n1. Goroutines started with `go func()` that do DB writes\n2. Ticker/timer-based loops that write to the DB\n3. Archiving operations that write to the DB\n4. Retention/cleanup operations\n5. Any cron-like scheduled operations\n\nSearch in:\n- cmd/cc-backend/ (main entry point, initialization)\n- internal/archiver/\n- internal/taskmanager/ or similar\n- internal/repository/\n- Any file with \"schedule\", \"ticker\", \"cron\", \"periodic\", \"retention\", \"cleanup\" patterns\n\nFor each, note the frequency, what DB operations it performs, and whether those operations are already batched/transacted.\n\nAlso look at the REST API file internal/api/rest.go to understand all registered routes and which ones do DB writes.","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"3bb2055e-b1af-44b3-ac27-43a4a74de4ab","timestamp":"2026-03-16T10:18:44.103Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"66ee3e7a-1bf9-4195-8e01-4bfaca3bdd4c","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Kq2UVbVdsFHMVNU1tw4F54","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"database/sql\"\n    11→\t\"encoding/json\"\n    12→\t\"fmt\"\n    13→\t\"slices\"\n    14→\t\"sort\"\n    15→\t\"strings\"\n    16→\t\"sync\"\n    17→\t\"time\"\n    18→\n    19→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    20→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n    23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    24→\tsq \"github.com/Masterminds/squirrel\"\n    25→\t\"github.com/jmoiron/sqlx\"\n    26→)\n    27→\n    28→var (\n    29→\tnodeRepoOnce     sync.Once\n    30→\tnodeRepoInstance *NodeRepository\n    31→)\n    32→\n    33→type NodeRepository struct {\n    34→\tDB        *sqlx.DB\n    35→\tstmtCache *sq.StmtCache\n    36→\tcache     *lrucache.Cache\n    37→\tdriver    string\n    38→}\n    39→\n    40→func GetNodeRepository() *NodeRepository {\n    41→\tnodeRepoOnce.Do(func() {\n    42→\t\tdb := GetConnection()\n    43→\n    44→\t\tnodeRepoInstance = &NodeRepository{\n    45→\t\t\tDB:     db.DB,\n    46→\t\t\tdriver: db.Driver,\n    47→\n    48→\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n    49→\t\t\tcache:     lrucache.New(repoConfig.CacheSize),\n    50→\t\t}\n    51→\t})\n    52→\treturn nodeRepoInstance\n    53→}\n    54→\n    55→// latestStateCondition returns a squirrel expression that restricts node_state\n    56→// rows to the latest per node_id using a correlated subquery.\n    57→// Requires the query to join node and node_state tables.\n    58→func latestStateCondition() sq.Sqlizer {\n    59→\treturn sq.Expr(\n    60→\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n    61→\t)\n    62→}\n    63→\n    64→// applyNodeFilters applies common NodeFilter conditions to a query that joins\n    65→// the node and node_state tables with latestStateCondition.\n    66→func applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n    67→\tfor _, f := range filters {\n    68→\t\tif f.Cluster != nil {\n    69→\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n    70→\t\t}\n    71→\t\tif f.SubCluster != nil {\n    72→\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n    73→\t\t}\n    74→\t\tif f.Hostname != nil {\n    75→\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n    76→\t\t}\n    77→\t\tif f.SchedulerState != nil {\n    78→\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n    79→\t\t}\n    80→\t\tif f.HealthState != nil {\n    81→\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n    82→\t\t}\n    83→\t}\n    84→\treturn query\n    85→}\n    86→\n    87→func (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n    88→\tstart := time.Now()\n    89→\n    90→\tRawMetaData := make([]byte, 0)\n    91→\n    92→\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n    93→\t\tWhere(\"node.hostname = ?\", hostname).\n    94→\t\tWhere(\"node.cluster = ?\", cluster).\n    95→\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n    96→\t\tcclog.Warn(\"Error while scanning for node metadata\")\n    97→\t\treturn nil, err\n    98→\t}\n    99→\n   100→\tif len(RawMetaData) == 0 {\n   101→\t\treturn nil, nil\n   102→\t}\n   103→\n   104→\tMetaData := make(map[string]string)\n   105→\n   106→\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n   107→\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n   108→\t\treturn nil, err\n   109→\t}\n   110→\n   111→\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n   112→\treturn MetaData, nil\n   113→}\n   114→\n   115→func (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n   116→\tnode := &schema.Node{}\n   117→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   118→\t\t\"node_state.node_state\", \"node_state.health_state\").\n   119→\t\tFrom(\"node\").\n   120→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   121→\t\tWhere(latestStateCondition()).\n   122→\t\tWhere(\"node.hostname = ?\", hostname).\n   123→\t\tWhere(\"node.cluster = ?\", cluster).\n   124→\t\tRunWith(r.DB).\n   125→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n   126→\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n   127→\t\treturn nil, err\n   128→\t}\n   129→\n   130→\tif withMeta {\n   131→\t\tvar err error\n   132→\t\tvar meta map[string]string\n   133→\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n   134→\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n   135→\t\t\treturn nil, err\n   136→\t\t}\n   137→\t\tnode.MetaData = meta\n   138→\t}\n   139→\n   140→\treturn node, nil\n   141→}\n   142→\n   143→func (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n   144→\tnode := &schema.Node{}\n   145→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   146→\t\t\"node_state.node_state\", \"node_state.health_state\").\n   147→\t\tFrom(\"node\").\n   148→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   149→\t\tWhere(latestStateCondition()).\n   150→\t\tWhere(\"node.id = ?\", id).\n   151→\t\tRunWith(r.DB).\n   152→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n   153→\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n   154→\t\treturn nil, err\n   155→\t}\n   156→\n   157→\tif withMeta {\n   158→\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n   159→\t\tif metaErr != nil {\n   160→\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n   161→\t\t\treturn nil, metaErr\n   162→\t\t}\n   163→\t\tnode.MetaData = meta\n   164→\t}\n   165→\n   166→\treturn node, nil\n   167→}\n   168→\n   169→// const NamedNodeInsert string = `\n   170→// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n   171→//\n   172→//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n   173→//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n   174→//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n   175→\n   176→const NamedNodeInsert string = `\n   177→INSERT INTO node (hostname, cluster, subcluster)\n   178→\tVALUES (:hostname, :cluster, :subcluster);`\n   179→\n   180→// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n   181→// from a nodestate update from the job scheduler.\n   182→func (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n   183→\tvar err error\n   184→\n   185→\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n   186→\tif err != nil {\n   187→\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n   188→\t\treturn 0, err\n   189→\t}\n   190→\tnode.ID, err = res.LastInsertId()\n   191→\tif err != nil {\n   192→\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n   193→\t\treturn 0, err\n   194→\t}\n   195→\n   196→\treturn node.ID, nil\n   197→}\n   198→\n   199→const NamedNodeStateInsert string = `\n   200→INSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n   201→\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n   202→\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n   203→\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n   204→\n   205→// TODO: Add real Monitoring Health State\n   206→\n   207→// UpdateNodeState is called from the Node REST API to add a row in the node state table\n   208→func (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n   209→\tvar id int64\n   210→\n   211→\tif err := sq.Select(\"id\").From(\"node\").\n   212→\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n   213→\t\tQueryRow().Scan(&id); err != nil {\n   214→\t\tif err == sql.ErrNoRows {\n   215→\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n   216→\t\t\tif err != nil {\n   217→\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n   218→\t\t\t\treturn err\n   219→\t\t\t}\n   220→\t\t\tnode := schema.NodeDB{\n   221→\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n   222→\t\t\t}\n   223→\t\t\tid, err = r.AddNode(&node)\n   224→\t\t\tif err != nil {\n   225→\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n   226→\t\t\t\treturn err\n   227→\t\t\t}\n   228→\n   229→\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n   230→\t\t} else {\n   231→\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n   232→\t\t\treturn err\n   233→\t\t}\n   234→\t}\n   235→\n   236→\tnodeState.NodeID = id\n   237→\n   238→\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n   239→\tif err != nil {\n   240→\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n   241→\t\treturn err\n   242→\t}\n   243→\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n   244→\treturn nil\n   245→}\n   246→\n   247→// NodeStateUpdate holds the data needed to update one node's state in a batch operation.\n   248→type NodeStateUpdate struct {\n   249→\tHostname  string\n   250→\tCluster   string\n   251→\tNodeState *schema.NodeStateDB\n   252→}\n   253→\n   254→// BatchUpdateNodeStates inserts node state rows for multiple nodes in a single transaction.\n   255→// For each node, it looks up (or creates) the node row, then inserts the state row.\n   256→// This reduces lock acquisitions from 2*N to 1 for N nodes.\n   257→func (r *NodeRepository) BatchUpdateNodeStates(updates []NodeStateUpdate) error {\n   258→\ttx, err := r.DB.Beginx()\n   259→\tif err != nil {\n   260→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: begin transaction: %w\", err)\n   261→\t}\n   262→\tdefer tx.Rollback()\n   263→\n   264→\tstmtLookup, err := tx.Preparex(\"SELECT id FROM node WHERE hostname = ? AND cluster = ?\")\n   265→\tif err != nil {\n   266→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare lookup: %w\", err)\n   267→\t}\n   268→\tdefer stmtLookup.Close()\n   269→\n   270→\tstmtInsertNode, err := tx.PrepareNamed(NamedNodeInsert)\n   271→\tif err != nil {\n   272→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare node insert: %w\", err)\n   273→\t}\n   274→\tdefer stmtInsertNode.Close()\n   275→\n   276→\tstmtInsertState, err := tx.PrepareNamed(NamedNodeStateInsert)\n   277→\tif err != nil {\n   278→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare state insert: %w\", err)\n   279→\t}\n   280→\tdefer stmtInsertState.Close()\n   281→\n   282→\tfor _, u := range updates {\n   283→\t\tvar id int64\n   284→\t\tif err := stmtLookup.QueryRow(u.Hostname, u.Cluster).Scan(&id); err != nil {\n   285→\t\t\tif err == sql.ErrNoRows {\n   286→\t\t\t\tsubcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)\n   287→\t\t\t\tif scErr != nil {\n   288→\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: subcluster lookup for '%s' in '%s': %v\", u.Hostname, u.Cluster, scErr)\n   289→\t\t\t\t\tcontinue\n   290→\t\t\t\t}\n   291→\t\t\t\tnode := schema.NodeDB{\n   292→\t\t\t\t\tHostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,\n   293→\t\t\t\t}\n   294→\t\t\t\tres, insertErr := stmtInsertNode.Exec(&node)\n   295→\t\t\t\tif insertErr != nil {\n   296→\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)\n   297→\t\t\t\t\tcontinue\n   298→\t\t\t\t}\n   299→\t\t\t\tid, _ = res.LastInsertId()\n   300→\t\t\t} else {\n   301→\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: lookup node '%s': %v\", u.Hostname, err)\n   302→\t\t\t\tcontinue\n   303→\t\t\t}\n   304→\t\t}\n   305→\n   306→\t\tu.NodeState.NodeID = id\n   307→\t\tif _, err := stmtInsertState.Exec(u.NodeState); err != nil {\n   308→\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert state for '%s': %v\", u.Hostname, err)\n   309→\t\t}\n   310→\t}\n   311→\n   312→\tif err := tx.Commit(); err != nil {\n   313→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: commit: %w\", err)\n   314→\t}\n   315→\treturn nil\n   316→}\n   317→\n   318→// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n   319→// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n   320→// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n   321→// \t\treturn err\n   322→// \t}\n   323→//\n   324→// \treturn nil\n   325→// }\n   326→\n   327→// NodeStateWithNode combines a node state row with denormalized node info.\n   328→type NodeStateWithNode struct {\n   329→\tID              int64  `db:\"id\"`\n   330→\tTimeStamp       int64  `db:\"time_stamp\"`\n   331→\tNodeState       string `db:\"node_state\"`\n   332→\tHealthState     string `db:\"health_state\"`\n   333→\tHealthMetrics   string `db:\"health_metrics\"`\n   334→\tCpusAllocated   int    `db:\"cpus_allocated\"`\n   335→\tMemoryAllocated int64  `db:\"memory_allocated\"`\n   336→\tGpusAllocated   int    `db:\"gpus_allocated\"`\n   337→\tJobsRunning     int    `db:\"jobs_running\"`\n   338→\tHostname        string `db:\"hostname\"`\n   339→\tCluster         string `db:\"cluster\"`\n   340→\tSubCluster      string `db:\"subcluster\"`\n   341→}\n   342→\n   343→// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n   344→// joined with node info for denormalized archiving.\n   345→func (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n   346→\trows, err := sq.Select(\n   347→\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n   348→\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n   349→\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n   350→\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n   351→\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   352→\t).\n   353→\t\tFrom(\"node_state\").\n   354→\t\tJoin(\"node ON node_state.node_id = node.id\").\n   355→\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n   356→\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n   357→\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n   358→\t\tRunWith(r.DB).Query()\n   359→\tif err != nil {\n   360→\t\treturn nil, err\n   361→\t}\n   362→\tdefer rows.Close()\n   363→\n   364→\tvar result []NodeStateWithNode\n   365→\tfor rows.Next() {\n   366→\t\tvar ns NodeStateWithNode\n   367→\t\tvar healthMetrics sql.NullString\n   368→\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n   369→\t\t\t&ns.HealthState, &healthMetrics,\n   370→\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n   371→\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n   372→\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n   373→\t\t\treturn nil, err\n   374→\t\t}\n   375→\t\tns.HealthMetrics = healthMetrics.String\n   376→\t\tresult = append(result, ns)\n   377→\t}\n   378→\treturn result, nil\n   379→}\n   380→\n   381→// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n   382→// but always preserves the row with the latest timestamp per node_id.\n   383→func (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n   384→\tres, err := r.DB.Exec(\n   385→\t\t`DELETE FROM node_state WHERE time_stamp < ?\n   386→\t\t AND id NOT IN (\n   387→\t\t   SELECT id FROM node_state ns2\n   388→\t\t   WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n   389→\t\t )`,\n   390→\t\tcutoff,\n   391→\t)\n   392→\tif err != nil {\n   393→\t\treturn 0, err\n   394→\t}\n   395→\treturn res.RowsAffected()\n   396→}\n   397→\n   398→func (r *NodeRepository) DeleteNode(id int64) error {\n   399→\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n   400→\tif err != nil {\n   401→\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n   402→\t\treturn err\n   403→\t}\n   404→\tcclog.Infof(\"deleted node '%d' from DB\", id)\n   405→\treturn nil\n   406→}\n   407→\n   408→// QueryNodes returns a list of nodes based on a node filter. It always operates\n   409→// on the last state (largest timestamp).\n   410→func (r *NodeRepository) QueryNodes(\n   411→\tctx context.Context,\n   412→\tfilters []*model.NodeFilter,\n   413→\tpage *model.PageRequest,\n   414→\torder *model.OrderByInput, // Currently unused!\n   415→) ([]*schema.Node, error) {\n   416→\tquery, qerr := AccessCheck(ctx,\n   417→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   418→\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n   419→\t\t\tFrom(\"node\").\n   420→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   421→\t\t\tWhere(latestStateCondition()))\n   422→\tif qerr != nil {\n   423→\t\treturn nil, qerr\n   424→\t}\n   425→\n   426→\tquery = applyNodeFilters(query, filters)\n   427→\tquery = query.OrderBy(\"node.hostname ASC\")\n   428→\n   429→\tif page != nil && page.ItemsPerPage != -1 {\n   430→\t\tlimit := uint64(page.ItemsPerPage)\n   431→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n   432→\t}\n   433→\n   434→\trows, err := query.RunWith(r.stmtCache).Query()\n   435→\tif err != nil {\n   436→\t\tqueryString, queryVars, _ := query.ToSql()\n   437→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   438→\t\treturn nil, err\n   439→\t}\n   440→\tdefer rows.Close()\n   441→\n   442→\tnodes := make([]*schema.Node, 0)\n   443→\tfor rows.Next() {\n   444→\t\tnode := schema.Node{}\n   445→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n   446→\t\t\t&node.NodeState, &node.HealthState); err != nil {\n   447→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n   448→\t\t\treturn nil, err\n   449→\t\t}\n   450→\t\tnodes = append(nodes, &node)\n   451→\t}\n   452→\n   453→\tif err := rows.Err(); err != nil {\n   454→\t\treturn nil, err\n   455→\t}\n   456→\n   457→\treturn nodes, nil\n   458→}\n   459→\n   460→// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n   461→// on the last state (largest timestamp). It includes both (!) optional JSON column data\n   462→func (r *NodeRepository) QueryNodesWithMeta(\n   463→\tctx context.Context,\n   464→\tfilters []*model.NodeFilter,\n   465→\tpage *model.PageRequest,\n   466→\torder *model.OrderByInput, // Currently unused!\n   467→) ([]*schema.Node, error) {\n   468→\tquery, qerr := AccessCheck(ctx,\n   469→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   470→\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n   471→\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n   472→\t\t\tFrom(\"node\").\n   473→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   474→\t\t\tWhere(latestStateCondition()))\n   475→\tif qerr != nil {\n   476→\t\treturn nil, qerr\n   477→\t}\n   478→\n   479→\tquery = applyNodeFilters(query, filters)\n   480→\tquery = query.OrderBy(\"node.hostname ASC\")\n   481→\n   482→\tif page != nil && page.ItemsPerPage != -1 {\n   483→\t\tlimit := uint64(page.ItemsPerPage)\n   484→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n   485→\t}\n   486→\n   487→\trows, err := query.RunWith(r.stmtCache).Query()\n   488→\tif err != nil {\n   489→\t\tqueryString, queryVars, _ := query.ToSql()\n   490→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   491→\t\treturn nil, err\n   492→\t}\n   493→\tdefer rows.Close()\n   494→\n   495→\tnodes := make([]*schema.Node, 0)\n   496→\tfor rows.Next() {\n   497→\t\tnode := schema.Node{}\n   498→\t\tRawMetaData := make([]byte, 0)\n   499→\t\tRawMetricHealth := make([]byte, 0)\n   500→\n   501→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n   502→\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n   503→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n   504→\t\t\treturn nil, err\n   505→\t\t}\n   506→\n   507→\t\tif len(RawMetaData) == 0 {\n   508→\t\t\tnode.MetaData = nil\n   509→\t\t} else {\n   510→\t\t\tmetaData := make(map[string]string)\n   511→\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n   512→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n   513→\t\t\t\treturn nil, err\n   514→\t\t\t}\n   515→\t\t\tnode.MetaData = metaData\n   516→\t\t}\n   517→\n   518→\t\tif len(RawMetricHealth) == 0 {\n   519→\t\t\tnode.HealthData = nil\n   520→\t\t} else {\n   521→\t\t\thealthData := make(map[string][]string)\n   522→\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n   523→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n   524→\t\t\t\treturn nil, err\n   525→\t\t\t}\n   526→\t\t\tnode.HealthData = healthData\n   527→\t\t}\n   528→\n   529→\t\tnodes = append(nodes, &node)\n   530→\t}\n   531→\n   532→\tif err := rows.Err(); err != nil {\n   533→\t\treturn nil, err\n   534→\t}\n   535→\n   536→\treturn nodes, nil\n   537→}\n   538→\n   539→// CountNodes returns the total matched nodes based on a node filter. It always operates\n   540→// on the last state (largest timestamp) per node.\n   541→func (r *NodeRepository) CountNodes(\n   542→\tctx context.Context,\n   543→\tfilters []*model.NodeFilter,\n   544→) (int, error) {\n   545→\tquery, qerr := AccessCheck(ctx,\n   546→\t\tsq.Select(\"COUNT(*)\").\n   547→\t\t\tFrom(\"node\").\n   548→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   549→\t\t\tWhere(latestStateCondition()))\n   550→\tif qerr != nil {\n   551→\t\treturn 0, qerr\n   552→\t}\n   553→\n   554→\tquery = applyNodeFilters(query, filters)\n   555→\n   556→\tvar count int\n   557→\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n   558→\t\tqueryString, queryVars, _ := query.ToSql()\n   559→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   560→\t\treturn 0, err\n   561→\t}\n   562→\n   563→\treturn count, nil\n   564→}\n   565→\n   566→func (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n   567→\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n   568→\t\t\"node_state.node_state\", \"node_state.health_state\").\n   569→\t\tFrom(\"node\").\n   570→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   571→\t\tWhere(latestStateCondition()).\n   572→\t\tWhere(\"node.cluster = ?\", cluster).\n   573→\t\tOrderBy(\"node.hostname ASC\")\n   574→\n   575→\trows, err := q.RunWith(r.DB).Query()\n   576→\tif err != nil {\n   577→\t\tcclog.Warn(\"Error while querying node list\")\n   578→\t\treturn nil, err\n   579→\t}\n   580→\tnodeList := make([]*schema.Node, 0, 100)\n   581→\tdefer rows.Close()\n   582→\tfor rows.Next() {\n   583→\t\tnode := &schema.Node{}\n   584→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n   585→\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n   586→\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n   587→\t\t\treturn nil, err\n   588→\t\t}\n   589→\n   590→\t\tnodeList = append(nodeList, node)\n   591→\t}\n   592→\n   593→\treturn nodeList, nil\n   594→}\n   595→\n   596→func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n   597→\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n   598→\t\tFrom(\"node\").\n   599→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   600→\t\tWhere(latestStateCondition()).\n   601→\t\tWhere(\"node.cluster = ?\", cluster).\n   602→\t\tOrderBy(\"node.hostname ASC\")\n   603→\n   604→\trows, err := q.RunWith(r.DB).Query()\n   605→\tif err != nil {\n   606→\t\tcclog.Warn(\"Error while querying node list\")\n   607→\t\treturn nil, err\n   608→\t}\n   609→\n   610→\tstateMap := make(map[string]string)\n   611→\tdefer rows.Close()\n   612→\tfor rows.Next() {\n   613→\t\tvar hostname, nodestate string\n   614→\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n   615→\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n   616→\t\t\treturn nil, err\n   617→\t\t}\n   618→\n   619→\t\tstateMap[hostname] = nodestate\n   620→\t}\n   621→\n   622→\treturn stateMap, nil\n   623→}\n   624→\n   625→func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n   626→\tquery, qerr := AccessCheck(ctx,\n   627→\t\tsq.Select(column, \"COUNT(*) as count\").\n   628→\t\t\tFrom(\"node\").\n   629→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n   630→\t\t\tWhere(latestStateCondition()).\n   631→\t\t\tGroupBy(column))\n   632→\tif qerr != nil {\n   633→\t\treturn nil, qerr\n   634→\t}\n   635→\n   636→\tquery = applyNodeFilters(query, filters)\n   637→\n   638→\trows, err := query.RunWith(r.stmtCache).Query()\n   639→\tif err != nil {\n   640→\t\tqueryString, queryVars, _ := query.ToSql()\n   641→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   642→\t\treturn nil, err\n   643→\t}\n   644→\tdefer rows.Close()\n   645→\n   646→\tnodes := make([]*model.NodeStates, 0)\n   647→\tfor rows.Next() {\n   648→\t\tvar state string\n   649→\t\tvar count int\n   650→\t\tif err := rows.Scan(&state, &count); err != nil {\n   651→\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n   652→\t\t\treturn nil, err\n   653→\t\t}\n   654→\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n   655→\t}\n   656→\n   657→\tif err := rows.Err(); err != nil {\n   658→\t\treturn nil, err\n   659→\t}\n   660→\n   661→\treturn nodes, nil\n   662→}\n   663→\n   664→func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n   665→\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n   666→\tif qerr != nil {\n   667→\t\treturn nil, qerr\n   668→\t}\n   669→\n   670→\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n   671→\n   672→\tfor _, f := range filters {\n   673→\t\t// Required\n   674→\t\tif f.TimeStart != nil {\n   675→\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n   676→\t\t}\n   677→\t\t// Optional\n   678→\t\tif f.Hostname != nil {\n   679→\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n   680→\t\t}\n   681→\t\tif f.Cluster != nil {\n   682→\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n   683→\t\t}\n   684→\t\tif f.SubCluster != nil {\n   685→\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n   686→\t\t}\n   687→\t\tif f.SchedulerState != nil {\n   688→\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n   689→\t\t}\n   690→\t\tif f.HealthState != nil {\n   691→\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n   692→\t\t}\n   693→\t}\n   694→\n   695→\t// Add Group and Order\n   696→\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n   697→\n   698→\trows, err := query.RunWith(r.stmtCache).Query()\n   699→\tif err != nil {\n   700→\t\tqueryString, queryVars, _ := query.ToSql()\n   701→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n   702→\t\treturn nil, err\n   703→\t}\n   704→\tdefer rows.Close()\n   705→\n   706→\trawData := make(map[string][][]int)\n   707→\tfor rows.Next() {\n   708→\t\tvar state string\n   709→\t\tvar timestamp, count int\n   710→\n   711→\t\tif err := rows.Scan(&state, &timestamp, &count); err != nil {\n   712→\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n   713→\t\t\treturn nil, err\n   714→\t\t}\n   715→\n   716→\t\tif rawData[state] == nil {\n   717→\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n   718→\t\t}\n   719→\n   720→\t\trawData[state][0] = append(rawData[state][0], timestamp)\n   721→\t\trawData[state][1] = append(rawData[state][1], count)\n   722→\t}\n   723→\n   724→\tif err := rows.Err(); err != nil {\n   725→\t\treturn nil, err\n   726→\t}\n   727→\n   728→\ttimedStates := make([]*model.NodeStatesTimed, 0)\n   729→\tfor state, data := range rawData {\n   730→\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n   731→\t\ttimedStates = append(timedStates, &entry)\n   732→\t}\n   733→\n   734→\treturn timedStates, nil\n   735→}\n   736→\n   737→func (r *NodeRepository) GetNodesForList(\n   738→\tctx context.Context,\n   739→\tcluster string,\n   740→\tsubCluster string,\n   741→\tstateFilter string,\n   742→\tnodeFilter string,\n   743→\tpage *model.PageRequest,\n   744→) ([]string, map[string]string, int, bool, error) {\n   745→\t// Init Return Vars\n   746→\tnodes := make([]string, 0)\n   747→\tstateMap := make(map[string]string)\n   748→\tcountNodes := 0\n   749→\thasNextPage := false\n   750→\n   751→\t// Build Filters\n   752→\tqueryFilters := make([]*model.NodeFilter, 0)\n   753→\tif cluster != \"\" {\n   754→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n   755→\t}\n   756→\tif subCluster != \"\" {\n   757→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n   758→\t}\n   759→\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n   760→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n   761→\t}\n   762→\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n   763→\t\tqueryState := schema.SchedulerState(stateFilter)\n   764→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n   765→\t}\n   766→\t// if healthFilter != \"all\" {\n   767→\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n   768→\t// }\n   769→\n   770→\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n   771→\tvar backupItems int\n   772→\tif stateFilter == \"notindb\" {\n   773→\t\tbackupItems = page.ItemsPerPage\n   774→\t\tpage.ItemsPerPage = -1\n   775→\t}\n   776→\n   777→\t// Query Nodes From DB\n   778→\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n   779→\tif serr != nil {\n   780→\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n   781→\t\treturn nil, nil, 0, false, serr\n   782→\t}\n   783→\n   784→\t// Intermediate Node Result Info\n   785→\tfor _, node := range rawNodes {\n   786→\t\tif node == nil {\n   787→\t\t\tcontinue\n   788→\t\t}\n   789→\t\tnodes = append(nodes, node.Hostname)\n   790→\t\tstateMap[node.Hostname] = string(node.NodeState)\n   791→\t}\n   792→\n   793→\t// Special Case: Find Nodes not in DB node table but in metricStore only\n   794→\tif stateFilter == \"notindb\" {\n   795→\t\t// Reapply Original Paging\n   796→\t\tpage.ItemsPerPage = backupItems\n   797→\t\t// Get Nodes From Topology\n   798→\t\tvar topoNodes []string\n   799→\t\tif subCluster != \"\" {\n   800→\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n   801→\t\t\ttopoNodes = scNodes.PrintList()\n   802→\t\t} else {\n   803→\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n   804→\t\t\tfor _, nodeList := range subClusterNodeLists {\n   805→\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n   806→\t\t\t}\n   807→\t\t}\n   808→\t\t// Compare to all nodes from cluster/subcluster in DB\n   809→\t\tvar missingNodes []string\n   810→\t\tfor _, scanNode := range topoNodes {\n   811→\t\t\tif !slices.Contains(nodes, scanNode) {\n   812→\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n   813→\t\t\t}\n   814→\t\t}\n   815→\t\t// Filter nodes by name\n   816→\t\tif nodeFilter != \"\" {\n   817→\t\t\tfilteredNodesByName := []string{}\n   818→\t\t\tfor _, missingNode := range missingNodes {\n   819→\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n   820→\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n   821→\t\t\t\t}\n   822→\t\t\t}\n   823→\t\t\tmissingNodes = filteredNodesByName\n   824→\t\t}\n   825→\t\t// Sort Missing Nodes Alphanumerically\n   826→\t\tslices.Sort(missingNodes)\n   827→\t\t// Total Missing\n   828→\t\tcountNodes = len(missingNodes)\n   829→\t\t// Apply paging\n   830→\t\tif countNodes > page.ItemsPerPage {\n   831→\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n   832→\t\t\tend := start + page.ItemsPerPage\n   833→\t\t\tif end > countNodes {\n   834→\t\t\t\tend = countNodes\n   835→\t\t\t\thasNextPage = false\n   836→\t\t\t} else {\n   837→\t\t\t\thasNextPage = true\n   838→\t\t\t}\n   839→\t\t\tnodes = missingNodes[start:end]\n   840→\t\t} else {\n   841→\t\t\tnodes = missingNodes\n   842→\t\t}\n   843→\n   844→\t} else {\n   845→\t\t// DB Nodes: Count and derive hasNextPage from count\n   846→\t\tvar cerr error\n   847→\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n   848→\t\tif cerr != nil {\n   849→\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n   850→\t\t\treturn nil, nil, 0, false, cerr\n   851→\t\t}\n   852→\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n   853→\t}\n   854→\n   855→\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n   856→\tif stateFilter == \"all\" && countNodes == 0 {\n   857→\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n   858→\t}\n   859→\n   860→\treturn nodes, stateMap, countNodes, hasNextPage, nil\n   861→}\n   862→\n   863→func AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n   864→\tuser := GetUserFromContext(ctx)\n   865→\treturn AccessCheckWithUser(user, query)\n   866→}\n   867→\n   868→func AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n   869→\tif user == nil {\n   870→\t\tvar qnil sq.SelectBuilder\n   871→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n   872→\t}\n   873→\n   874→\tswitch {\n   875→\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n   876→\t// \treturn query, nil\n   877→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n   878→\t\treturn query, nil\n   879→\tdefault: // No known Role: No Access, return error\n   880→\t\tvar qnil sq.SelectBuilder\n   881→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n   882→\t}\n   883→}\n   884→\n   885→func getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n   886→\t// 0) Init additional vars\n   887→\thasNextPage := false\n   888→\ttotalNodes := 0\n   889→\n   890→\t// 1) Get list of all nodes\n   891→\tvar topolNodes []string\n   892→\tif subCluster != \"\" {\n   893→\t\tscNodes := archive.NodeLists[cluster][subCluster]\n   894→\t\ttopolNodes = scNodes.PrintList()\n   895→\t} else {\n   896→\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n   897→\t\tfor _, nodeList := range subClusterNodeLists {\n   898→\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n   899→\t\t}\n   900→\t}\n   901→\n   902→\t// 2) Filter nodes\n   903→\tif nodeFilter != \"\" {\n   904→\t\tfilteredNodes := []string{}\n   905→\t\tfor _, node := range topolNodes {\n   906→\t\t\tif strings.Contains(node, nodeFilter) {\n   907→\t\t\t\tfilteredNodes = append(filteredNodes, node)\n   908→\t\t\t}\n   909→\t\t}\n   910→\t\ttopolNodes = filteredNodes\n   911→\t}\n   912→\n   913→\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n   914→\ttotalNodes = len(topolNodes)\n   915→\tsort.Strings(topolNodes)\n   916→\n   917→\t// 3) Apply paging\n   918→\tif len(topolNodes) > page.ItemsPerPage {\n   919→\t\tstart := (page.Page - 1) * page.ItemsPerPage\n   920→\t\tend := start + page.ItemsPerPage\n   921→\t\tif end >= len(topolNodes) {\n   922→\t\t\tend = len(topolNodes)\n   923→\t\t\thasNextPage = false\n   924→\t\t} else {\n   925→\t\t\thasNextPage = true\n   926→\t\t}\n   927→\t\ttopolNodes = topolNodes[start:end]\n   928→\t}\n   929→\n   930→\treturn topolNodes, totalNodes, hasNextPage\n   931→}\n   932→"}]},"uuid":"6c8edef1-a8c9-456d-97fa-3d410e04f313","timestamp":"2026-03-16T10:18:49.302Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"fcc08240-82bd-4123-8e1f-ce0f95d8df8c","timestamp":"2026-03-16T10:18:49.304Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"7d12d80c-ddfe-4da1-bf07-ce2fd2aba9ec","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UMxCyReToFRrj3nPfMgWFx","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// This file contains job statistics and histogram generation functionality for the JobRepository.\n     7→//\n     8→// # Job Statistics\n     9→//\n    10→// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n    11→// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n    12→//   - Overall (JobsStats): Single aggregate across all matching jobs\n    13→//   - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n    14→//   - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n    15→//\n    16→// All statistics methods support filtering via JobFilter and respect security contexts.\n    17→//\n    18→// # Histograms\n    19→//\n    20→// Histogram methods generate distribution data for visualization:\n    21→//   - Duration, nodes, cores, accelerators (AddHistograms)\n    22→//   - Job metrics like CPU load, memory usage (AddMetricHistograms)\n    23→//\n    24→// Histograms use intelligent binning:\n    25→//   - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n    26→//   - Resources: Natural value-based bins\n    27→//   - Metrics: Normalized to peak values with configurable bin counts\n    28→//\n    29→// # Running vs. Completed Jobs\n    30→//\n    31→// Statistics handle running jobs specially:\n    32→//   - Duration calculated as (now - start_time) for running jobs\n    33→//   - Metric histograms for running jobs load data from metric backend instead of footprint\n    34→//   - Job state filtering distinguishes running/completed jobs\n    35→//\n    36→// # Performance Considerations\n    37→//\n    38→// - All queries use prepared statements via stmtCache\n    39→// - Complex aggregations use SQL for efficiency\n    40→// - Histogram pre-initialization ensures consistent bin ranges\n    41→// - Metric histogram queries limited to 5000 jobs for running job analysis\n    42→\n    43→package repository\n    44→\n    45→import (\n    46→\t\"context\"\n    47→\t\"database/sql\"\n    48→\t\"fmt\"\n    49→\t\"time\"\n    50→\n    51→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    52→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    53→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    54→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    55→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    56→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    57→\tsq \"github.com/Masterminds/squirrel\"\n    58→\t\"golang.org/x/sync/errgroup\"\n    59→)\n    60→\n    61→// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n    62→// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n    63→// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\n    64→var groupBy2column = map[model.Aggregate]string{\n    65→\tmodel.AggregateUser:       \"job.hpc_user\",\n    66→\tmodel.AggregateProject:    \"job.project\",\n    67→\tmodel.AggregateCluster:    \"job.cluster\",\n    68→\tmodel.AggregateSubcluster: \"job.subcluster\",\n    69→}\n    70→\n    71→// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n    72→// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n    73→// Column names match the AS aliases used in buildStatsQuery.\n    74→var sortBy2column = map[model.SortByAggregate]string{\n    75→\tmodel.SortByAggregateTotaljobs:      \"totalJobs\",\n    76→\tmodel.SortByAggregateTotalusers:     \"totalUsers\",\n    77→\tmodel.SortByAggregateTotalwalltime:  \"totalWalltime\",\n    78→\tmodel.SortByAggregateTotalnodes:     \"totalNodes\",\n    79→\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n    80→\tmodel.SortByAggregateTotalcores:     \"totalCores\",\n    81→\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n    82→\tmodel.SortByAggregateTotalaccs:      \"totalAccs\",\n    83→\tmodel.SortByAggregateTotalacchours:  \"totalAccHours\",\n    84→}\n    85→\n    86→// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n    87→//\n    88→// Parameters:\n    89→//   - filter: Job filters to apply (cluster, user, time range, etc.)\n    90→//   - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n    91→//   - col: Column name to GROUP BY; empty string for total count without grouping\n    92→//\n    93→// Returns a SelectBuilder that produces either:\n    94→//   - Single count: COUNT(job.id) when col is empty\n    95→//   - Grouped counts: col, COUNT(job.id) when col is specified\n    96→//\n    97→// The kind parameter enables counting specific job categories:\n    98→//   - \"running\": Only jobs with job_state = 'running'\n    99→//   - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n   100→//   - empty: All jobs matching filters\n   101→func (r *JobRepository) buildCountQuery(\n   102→\tfilter []*model.JobFilter,\n   103→\tkind string,\n   104→\tcol string,\n   105→) sq.SelectBuilder {\n   106→\tvar query sq.SelectBuilder\n   107→\n   108→\tif col != \"\" {\n   109→\t\tquery = sq.Select(col, \"COUNT(*)\").From(\"job\").GroupBy(col)\n   110→\t} else {\n   111→\t\tquery = sq.Select(\"COUNT(*)\").From(\"job\")\n   112→\t}\n   113→\n   114→\tswitch kind {\n   115→\tcase \"running\":\n   116→\t\tquery = query.Where(\"job.job_state = 'running'\")\n   117→\tcase \"short\":\n   118→\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n   119→\t}\n   120→\n   121→\tfor _, f := range filter {\n   122→\t\tquery = BuildWhereClause(f, query)\n   123→\t}\n   124→\n   125→\treturn query\n   126→}\n   127→\n   128→// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n   129→// Only requested columns are computed; unrequested columns select 0 as placeholder.\n   130→//\n   131→// Parameters:\n   132→//   - filter: Job filters to apply (cluster, user, time range, etc.)\n   133→//   - col: Column name to GROUP BY; empty string for overall statistics without grouping\n   134→//   - shortThreshold: Duration threshold in seconds for counting short-running jobs\n   135→//   - reqFields: Set of requested field names; nil means compute all fields\n   136→func (r *JobRepository) buildStatsQuery(\n   137→\tfilter []*model.JobFilter,\n   138→\tcol string,\n   139→\tshortThreshold int,\n   140→\treqFields map[string]bool,\n   141→) sq.SelectBuilder {\n   142→\tnow := time.Now().Unix()\n   143→\n   144→\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n   145→\tneed := func(field string) bool {\n   146→\t\treturn reqFields == nil || reqFields[field]\n   147→\t}\n   148→\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n   149→\n   150→\t// Build column list\n   151→\tcolumns := make([]string, 0, 14)\n   152→\n   153→\tif col != \"\" {\n   154→\t\tcolumns = append(columns, col)\n   155→\t}\n   156→\n   157→\tcolumns = append(columns, \"COUNT(*) as totalJobs\")\n   158→\n   159→\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n   160→\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n   161→\t} else {\n   162→\t\tcolumns = append(columns, \"0 AS totalUsers\")\n   163→\t}\n   164→\n   165→\tif need(\"totalWalltime\") {\n   166→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n   167→\t} else {\n   168→\t\tcolumns = append(columns, \"0 as totalWalltime\")\n   169→\t}\n   170→\n   171→\tif need(\"totalNodes\") {\n   172→\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n   173→\t} else {\n   174→\t\tcolumns = append(columns, \"0 as totalNodes\")\n   175→\t}\n   176→\n   177→\tif need(\"totalNodeHours\") {\n   178→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n   179→\t} else {\n   180→\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n   181→\t}\n   182→\n   183→\tif need(\"totalCores\") {\n   184→\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n   185→\t} else {\n   186→\t\tcolumns = append(columns, \"0 as totalCores\")\n   187→\t}\n   188→\n   189→\tif need(\"totalCoreHours\") {\n   190→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n   191→\t} else {\n   192→\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n   193→\t}\n   194→\n   195→\tif need(\"totalAccs\") {\n   196→\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n   197→\t} else {\n   198→\t\tcolumns = append(columns, \"0 as totalAccs\")\n   199→\t}\n   200→\n   201→\tif need(\"totalAccHours\") {\n   202→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n   203→\t} else {\n   204→\t\tcolumns = append(columns, \"0 as totalAccHours\")\n   205→\t}\n   206→\n   207→\tif need(\"runningJobs\") {\n   208→\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n   209→\t} else {\n   210→\t\tcolumns = append(columns, \"0 as runningJobs\")\n   211→\t}\n   212→\n   213→\tif need(\"shortJobs\") {\n   214→\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n   215→\t} else {\n   216→\t\tcolumns = append(columns, \"0 as shortJobs\")\n   217→\t}\n   218→\n   219→\tquery := sq.Select(columns...).From(\"job\")\n   220→\tif col != \"\" {\n   221→\t\tquery = query.GroupBy(col)\n   222→\t}\n   223→\n   224→\tfor _, f := range filter {\n   225→\t\tquery = BuildWhereClause(f, query)\n   226→\t}\n   227→\n   228→\treturn query\n   229→}\n   230→\n   231→// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n   232→// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n   233→// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\n   234→func (r *JobRepository) JobsStatsGrouped(\n   235→\tctx context.Context,\n   236→\tfilter []*model.JobFilter,\n   237→\tpage *model.PageRequest,\n   238→\tsortBy *model.SortByAggregate,\n   239→\tgroupBy *model.Aggregate,\n   240→\treqFields map[string]bool,\n   241→) ([]*model.JobsStatistics, error) {\n   242→\tcol := groupBy2column[*groupBy]\n   243→\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n   244→\n   245→\tquery, err := SecurityCheck(ctx, query)\n   246→\tif err != nil {\n   247→\t\treturn nil, err\n   248→\t}\n   249→\n   250→\tif sortBy != nil {\n   251→\t\tsortBy := sortBy2column[*sortBy]\n   252→\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n   253→\t}\n   254→\tif page != nil && page.ItemsPerPage != -1 {\n   255→\t\tlimit := uint64(page.ItemsPerPage)\n   256→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n   257→\t}\n   258→\n   259→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n   260→\tif err != nil {\n   261→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n   262→\t\treturn nil, err\n   263→\t}\n   264→\tdefer rows.Close()\n   265→\n   266→\tstats := make([]*model.JobsStatistics, 0, 100)\n   267→\n   268→\tfor rows.Next() {\n   269→\t\tvar id sql.NullString\n   270→\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n   271→\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n   272→\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n   273→\t\t\treturn nil, err\n   274→\t\t}\n   275→\n   276→\t\tif id.Valid {\n   277→\t\t\tstats = append(stats,\n   278→\t\t\t\t&model.JobsStatistics{\n   279→\t\t\t\t\tID:             id.String,\n   280→\t\t\t\t\tTotalJobs:      int(jobs.Int64),\n   281→\t\t\t\t\tTotalUsers:     int(users.Int64),\n   282→\t\t\t\t\tTotalWalltime:  int(walltime.Int64),\n   283→\t\t\t\t\tTotalNodes:     int(nodes.Int64),\n   284→\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n   285→\t\t\t\t\tTotalCores:     int(cores.Int64),\n   286→\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n   287→\t\t\t\t\tTotalAccs:      int(accs.Int64),\n   288→\t\t\t\t\tTotalAccHours:  int(accHours.Int64),\n   289→\t\t\t\t\tRunningJobs:    int(runningJobs.Int64),\n   290→\t\t\t\t\tShortJobs:      int(shortJobs.Int64),\n   291→\t\t\t\t})\n   292→\t\t}\n   293→\t}\n   294→\n   295→\tif err := rows.Err(); err != nil {\n   296→\t\treturn nil, err\n   297→\t}\n   298→\n   299→\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n   300→\tif col == \"job.hpc_user\" && len(stats) > 0 {\n   301→\t\tusernames := make([]any, len(stats))\n   302→\t\tfor i, s := range stats {\n   303→\t\t\tusernames[i] = s.ID\n   304→\t\t}\n   305→\n   306→\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n   307→\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n   308→\t\tif err != nil {\n   309→\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n   310→\t\t\t// Non-fatal: stats are still valid without display names\n   311→\t\t} else {\n   312→\t\t\tdefer nameRows.Close()\n   313→\t\t\tnameMap := make(map[string]string, len(stats))\n   314→\t\t\tfor nameRows.Next() {\n   315→\t\t\t\tvar username, name string\n   316→\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n   317→\t\t\t\t\tnameMap[username] = name\n   318→\t\t\t\t}\n   319→\t\t\t}\n   320→\t\t\tfor _, s := range stats {\n   321→\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n   322→\t\t\t\t\ts.Name = name\n   323→\t\t\t\t}\n   324→\t\t\t}\n   325→\t\t}\n   326→\t}\n   327→\n   328→\treturn stats, nil\n   329→}\n   330→\n   331→// JobsStats computes overall job statistics across all matching jobs without grouping.\n   332→//\n   333→// This method provides a single aggregate view of job metrics, useful for dashboard\n   334→// summaries and overall system utilization reports.\n   335→//\n   336→// Parameters:\n   337→//   - ctx: Context for security checks and cancellation\n   338→//   - filter: Filters to apply (time range, cluster, job state, etc.)\n   339→//\n   340→// Returns a single-element slice containing aggregate statistics:\n   341→//   - totalJobs, totalUsers, totalWalltime\n   342→//   - totalNodeHours, totalCoreHours, totalAccHours\n   343→//\n   344→// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n   345→// Security checks are applied via SecurityCheck to respect user access levels.\n   346→func (r *JobRepository) JobsStats(\n   347→\tctx context.Context,\n   348→\tfilter []*model.JobFilter,\n   349→\treqFields map[string]bool,\n   350→) ([]*model.JobsStatistics, error) {\n   351→\tstart := time.Now()\n   352→\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n   353→\tquery, err := SecurityCheck(ctx, query)\n   354→\tif err != nil {\n   355→\t\treturn nil, err\n   356→\t}\n   357→\n   358→\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n   359→\tstats := make([]*model.JobsStatistics, 0, 1)\n   360→\n   361→\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n   362→\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n   363→\t\tcclog.Warn(\"Error while scanning rows\")\n   364→\t\treturn nil, err\n   365→\t}\n   366→\n   367→\tif jobs.Valid {\n   368→\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n   369→\n   370→\t\tif nodeHours.Valid {\n   371→\t\t\ttotalNodeHours = int(nodeHours.Int64)\n   372→\t\t}\n   373→\t\tif coreHours.Valid {\n   374→\t\t\ttotalCoreHours = int(coreHours.Int64)\n   375→\t\t}\n   376→\t\tif accHours.Valid {\n   377→\t\t\ttotalAccHours = int(accHours.Int64)\n   378→\t\t}\n   379→\t\tstats = append(stats,\n   380→\t\t\t&model.JobsStatistics{\n   381→\t\t\t\tTotalJobs:      int(jobs.Int64),\n   382→\t\t\t\tTotalUsers:     int(users.Int64),\n   383→\t\t\t\tTotalWalltime:  int(walltime.Int64),\n   384→\t\t\t\tTotalNodeHours: totalNodeHours,\n   385→\t\t\t\tTotalCoreHours: totalCoreHours,\n   386→\t\t\t\tTotalAccHours:  totalAccHours,\n   387→\t\t\t\tRunningJobs:    int(runningJobs.Int64),\n   388→\t\t\t\tShortJobs:      int(shortJobs.Int64),\n   389→\t\t\t})\n   390→\t}\n   391→\n   392→\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n   393→\treturn stats, nil\n   394→}\n   395→\n   396→// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n   397→// Returns 0.0 if the metric is not found or statType is invalid.\n   398→//\n   399→// Parameters:\n   400→//   - job: Job struct with populated Statistics field\n   401→//   - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n   402→//   - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n   403→//\n   404→// Returns the requested statistic value or 0.0 if not found.\n   405→func LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n   406→\tif stats, ok := job.Statistics[metric]; ok {\n   407→\t\tswitch statType {\n   408→\t\tcase \"avg\":\n   409→\t\t\treturn stats.Avg\n   410→\t\tcase \"max\":\n   411→\t\t\treturn stats.Max\n   412→\t\tcase \"min\":\n   413→\t\t\treturn stats.Min\n   414→\t\tdefault:\n   415→\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n   416→\t\t}\n   417→\t}\n   418→\n   419→\treturn 0.0\n   420→}\n   421→\n   422→// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n   423→//\n   424→// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n   425→// avoiding the overhead of calculating walltime and resource usage metrics.\n   426→//\n   427→// Parameters:\n   428→//   - ctx: Context for security checks\n   429→//   - filter: Filters to apply\n   430→//   - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n   431→//\n   432→// Returns JobsStatistics with only ID and TotalJobs populated for each group.\n   433→func (r *JobRepository) JobCountGrouped(\n   434→\tctx context.Context,\n   435→\tfilter []*model.JobFilter,\n   436→\tgroupBy *model.Aggregate,\n   437→) ([]*model.JobsStatistics, error) {\n   438→\tstart := time.Now()\n   439→\tcol := groupBy2column[*groupBy]\n   440→\tquery := r.buildCountQuery(filter, \"\", col)\n   441→\tquery, err := SecurityCheck(ctx, query)\n   442→\tif err != nil {\n   443→\t\treturn nil, err\n   444→\t}\n   445→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n   446→\tif err != nil {\n   447→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n   448→\t\treturn nil, err\n   449→\t}\n   450→\tdefer rows.Close()\n   451→\n   452→\tstats := make([]*model.JobsStatistics, 0, 100)\n   453→\n   454→\tfor rows.Next() {\n   455→\t\tvar id sql.NullString\n   456→\t\tvar cnt sql.NullInt64\n   457→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n   458→\t\t\tcclog.Warn(\"Error while scanning rows\")\n   459→\t\t\treturn nil, err\n   460→\t\t}\n   461→\t\tif id.Valid {\n   462→\t\t\tstats = append(stats,\n   463→\t\t\t\t&model.JobsStatistics{\n   464→\t\t\t\t\tID:        id.String,\n   465→\t\t\t\t\tTotalJobs: int(cnt.Int64),\n   466→\t\t\t\t})\n   467→\t\t}\n   468→\t}\n   469→\n   470→\tif err := rows.Err(); err != nil {\n   471→\t\treturn nil, err\n   472→\t}\n   473→\n   474→\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n   475→\treturn stats, nil\n   476→}\n   477→\n   478→// AddJobCountGrouped augments existing statistics with additional job counts by category.\n   479→//\n   480→// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n   481→// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n   482→//\n   483→// Parameters:\n   484→//   - ctx: Context for security checks\n   485→//   - filter: Filters to apply\n   486→//   - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n   487→//   - stats: Existing statistics to augment (modified in-place by ID matching)\n   488→//   - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n   489→//\n   490→// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n   491→// Groups without matching jobs will have 0 for the added field.\n   492→func (r *JobRepository) AddJobCountGrouped(\n   493→\tctx context.Context,\n   494→\tfilter []*model.JobFilter,\n   495→\tgroupBy *model.Aggregate,\n   496→\tstats []*model.JobsStatistics,\n   497→\tkind string,\n   498→) ([]*model.JobsStatistics, error) {\n   499→\tstart := time.Now()\n   500→\tcol := groupBy2column[*groupBy]\n   501→\tquery := r.buildCountQuery(filter, kind, col)\n   502→\tquery, err := SecurityCheck(ctx, query)\n   503→\tif err != nil {\n   504→\t\treturn nil, err\n   505→\t}\n   506→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n   507→\tif err != nil {\n   508→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n   509→\t\treturn nil, err\n   510→\t}\n   511→\tdefer rows.Close()\n   512→\n   513→\tcounts := make(map[string]int)\n   514→\n   515→\tfor rows.Next() {\n   516→\t\tvar id sql.NullString\n   517→\t\tvar cnt sql.NullInt64\n   518→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n   519→\t\t\tcclog.Warn(\"Error while scanning rows\")\n   520→\t\t\treturn nil, err\n   521→\t\t}\n   522→\t\tif id.Valid {\n   523→\t\t\tcounts[id.String] = int(cnt.Int64)\n   524→\t\t}\n   525→\t}\n   526→\n   527→\tif err := rows.Err(); err != nil {\n   528→\t\treturn nil, err\n   529→\t}\n   530→\n   531→\tswitch kind {\n   532→\tcase \"running\":\n   533→\t\tfor _, s := range stats {\n   534→\t\t\ts.RunningJobs = counts[s.ID]\n   535→\t\t}\n   536→\tcase \"short\":\n   537→\t\tfor _, s := range stats {\n   538→\t\t\ts.ShortJobs = counts[s.ID]\n   539→\t\t}\n   540→\t}\n   541→\n   542→\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n   543→\treturn stats, nil\n   544→}\n   545→\n   546→// AddJobCount augments existing overall statistics with additional job counts by category.\n   547→//\n   548→// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n   549→// to all statistics entries (typically just one).\n   550→//\n   551→// Parameters:\n   552→//   - ctx: Context for security checks\n   553→//   - filter: Filters to apply\n   554→//   - stats: Existing statistics to augment (modified in-place)\n   555→//   - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n   556→//\n   557→// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\n   558→func (r *JobRepository) AddJobCount(\n   559→\tctx context.Context,\n   560→\tfilter []*model.JobFilter,\n   561→\tstats []*model.JobsStatistics,\n   562→\tkind string,\n   563→) ([]*model.JobsStatistics, error) {\n   564→\tstart := time.Now()\n   565→\tquery := r.buildCountQuery(filter, kind, \"\")\n   566→\tquery, err := SecurityCheck(ctx, query)\n   567→\tif err != nil {\n   568→\t\treturn nil, err\n   569→\t}\n   570→\tvar cnt sql.NullInt64\n   571→\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n   572→\t\tcclog.Warn(\"Error while querying DB for job count\")\n   573→\t\treturn nil, err\n   574→\t}\n   575→\n   576→\tcount := int(cnt.Int64)\n   577→\n   578→\tswitch kind {\n   579→\tcase \"running\":\n   580→\t\tfor _, s := range stats {\n   581→\t\t\ts.RunningJobs = count\n   582→\t\t}\n   583→\tcase \"short\":\n   584→\t\tfor _, s := range stats {\n   585→\t\t\ts.ShortJobs = count\n   586→\t\t}\n   587→\t}\n   588→\n   589→\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n   590→\treturn stats, nil\n   591→}\n   592→\n   593→// AddHistograms augments statistics with distribution histograms for job properties.\n   594→//\n   595→// Generates histogram data for visualization of job duration, node count, core count,\n   596→// and accelerator count distributions. Duration histogram uses intelligent binning based\n   597→// on the requested resolution.\n   598→//\n   599→// Parameters:\n   600→//   - ctx: Context for security checks\n   601→//   - filter: Filters to apply to jobs included in histograms\n   602→//   - stat: Statistics struct to augment (modified in-place)\n   603→//   - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n   604→//\n   605→// Populates these fields in stat:\n   606→//   - HistDuration: Job duration distribution (zero-padded bins)\n   607→//   - HistNumNodes: Node count distribution\n   608→//   - HistNumCores: Core (hwthread) count distribution\n   609→//   - HistNumAccs: Accelerator count distribution\n   610→//\n   611→// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n   612→// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\n   613→func (r *JobRepository) AddHistograms(\n   614→\tctx context.Context,\n   615→\tfilter []*model.JobFilter,\n   616→\tstat *model.JobsStatistics,\n   617→\tdurationBins *string,\n   618→) (*model.JobsStatistics, error) {\n   619→\tstart := time.Now()\n   620→\n   621→\tvar targetBinCount int\n   622→\tvar targetBinSize int\n   623→\tswitch *durationBins {\n   624→\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n   625→\t\ttargetBinCount = 60\n   626→\t\ttargetBinSize = 60\n   627→\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n   628→\t\ttargetBinCount = 72\n   629→\t\ttargetBinSize = 600\n   630→\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n   631→\t\ttargetBinCount = 48\n   632→\t\ttargetBinSize = 3600\n   633→\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n   634→\t\ttargetBinCount = 12\n   635→\t\ttargetBinSize = 21600\n   636→\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n   637→\t\ttargetBinCount = 14\n   638→\t\ttargetBinSize = 43200\n   639→\tdefault: // 24h\n   640→\t\ttargetBinCount = 24\n   641→\t\ttargetBinSize = 3600\n   642→\t}\n   643→\n   644→\t// Run all 4 histogram queries in parallel — each writes a distinct struct field.\n   645→\tg, gctx := errgroup.WithContext(ctx)\n   646→\n   647→\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n   648→\n   649→\tg.Go(func() error {\n   650→\t\tvar err error\n   651→\t\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(gctx, value, filter, targetBinSize, &targetBinCount)\n   652→\t\tif err != nil {\n   653→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n   654→\t\t}\n   655→\t\treturn err\n   656→\t})\n   657→\tg.Go(func() error {\n   658→\t\tvar err error\n   659→\t\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(gctx, \"job.num_nodes as value\", filter)\n   660→\t\tif err != nil {\n   661→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n   662→\t\t}\n   663→\t\treturn err\n   664→\t})\n   665→\tg.Go(func() error {\n   666→\t\tvar err error\n   667→\t\tstat.HistNumCores, err = r.jobsStatisticsHistogram(gctx, \"job.num_hwthreads as value\", filter)\n   668→\t\tif err != nil {\n   669→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n   670→\t\t}\n   671→\t\treturn err\n   672→\t})\n   673→\tg.Go(func() error {\n   674→\t\tvar err error\n   675→\t\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(gctx, \"job.num_acc as value\", filter)\n   676→\t\tif err != nil {\n   677→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n   678→\t\t}\n   679→\t\treturn err\n   680→\t})\n   681→\n   682→\tif err := g.Wait(); err != nil {\n   683→\t\treturn nil, err\n   684→\t}\n   685→\n   686→\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n   687→\treturn stat, nil\n   688→}\n   689→\n   690→// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n   691→//\n   692→// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n   693→// and completed jobs differently: running jobs load data from metric backend, completed jobs\n   694→// use footprint data from database.\n   695→//\n   696→// Parameters:\n   697→//   - ctx: Context for security checks\n   698→//   - filter: Filters to apply (MUST contain State filter for running jobs)\n   699→//   - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n   700→//   - stat: Statistics struct to augment (modified in-place)\n   701→//   - targetBinCount: Number of histogram bins (default: 10)\n   702→//\n   703→// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n   704→//\n   705→// Binning algorithm:\n   706→//   - Values normalized to metric's peak value from cluster configuration\n   707→//   - Bins evenly distributed from 0 to peak\n   708→//   - Pre-initialized with zeros for consistent visualization\n   709→//\n   710→// Limitations:\n   711→//   - Running jobs: Limited to 5000 jobs for performance\n   712→//   - Requires valid cluster configuration with metric peak values\n   713→//   - Uses footprint statistic (avg/max/min) configured per metric\n   714→func (r *JobRepository) AddMetricHistograms(\n   715→\tctx context.Context,\n   716→\tfilter []*model.JobFilter,\n   717→\tmetrics []string,\n   718→\tstat *model.JobsStatistics,\n   719→\ttargetBinCount *int,\n   720→) (*model.JobsStatistics, error) {\n   721→\tstart := time.Now()\n   722→\n   723→\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n   724→\tfor _, f := range filter {\n   725→\t\tif f.State != nil {\n   726→\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n   727→\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n   728→\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n   729→\t\t\t\treturn stat, nil\n   730→\t\t\t}\n   731→\t\t}\n   732→\t}\n   733→\n   734→\t// All other cases: Query and make bins in sqlite directly\n   735→\tfor _, m := range metrics {\n   736→\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n   737→\t\tif err != nil {\n   738→\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n   739→\t\t\tcontinue\n   740→\t\t}\n   741→\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n   742→\t}\n   743→\n   744→\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n   745→\treturn stat, nil\n   746→}\n   747→\n   748→// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n   749→//\n   750→// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n   751→// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n   752→//\n   753→// Parameters:\n   754→//   - value: SQL expression that produces the histogram value, aliased as \"value\"\n   755→//   - filters: Job filters to apply\n   756→//\n   757→// Returns histogram points with Value (from column) and Count (number of jobs).\n   758→func (r *JobRepository) jobsStatisticsHistogram(\n   759→\tctx context.Context,\n   760→\tvalue string,\n   761→\tfilters []*model.JobFilter,\n   762→) ([]*model.HistoPoint, error) {\n   763→\tstart := time.Now()\n   764→\tquery, qerr := SecurityCheck(ctx,\n   765→\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n   766→\n   767→\tif qerr != nil {\n   768→\t\treturn nil, qerr\n   769→\t}\n   770→\n   771→\tfor _, f := range filters {\n   772→\t\tquery = BuildWhereClause(f, query)\n   773→\t}\n   774→\n   775→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n   776→\tif err != nil {\n   777→\t\tcclog.Error(\"Error while running query\")\n   778→\t\treturn nil, err\n   779→\t}\n   780→\tdefer rows.Close()\n   781→\n   782→\tpoints := make([]*model.HistoPoint, 0)\n   783→\t// is it possible to introduce zero values here? requires info about bincount\n   784→\tfor rows.Next() {\n   785→\t\tpoint := model.HistoPoint{}\n   786→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n   787→\t\t\tcclog.Warn(\"Error while scanning rows\")\n   788→\t\t\treturn nil, err\n   789→\t\t}\n   790→\n   791→\t\tpoints = append(points, &point)\n   792→\t}\n   793→\n   794→\tif err := rows.Err(); err != nil {\n   795→\t\treturn nil, err\n   796→\t}\n   797→\n   798→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n   799→\treturn points, nil\n   800→}\n   801→\n   802→// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n   803→//\n   804→// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n   805→// histograms which only return bins with data. The value parameter should compute\n   806→// the bin number from job duration.\n   807→//\n   808→// Parameters:\n   809→//   - value: SQL expression computing bin number from duration, aliased as \"value\"\n   810→//   - filters: Job filters to apply\n   811→//   - binSizeSeconds: Width of each bin in seconds\n   812→//   - targetBinCount: Number of bins to pre-initialize\n   813→//\n   814→// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n   815→// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n   816→//\n   817→// Algorithm:\n   818→//  1. Pre-initialize targetBinCount bins with zero counts\n   819→//  2. Query database for actual counts per bin\n   820→//  3. Match query results to pre-initialized bins by value\n   821→//  4. Bins without matches remain at zero\n   822→func (r *JobRepository) jobsDurationStatisticsHistogram(\n   823→\tctx context.Context,\n   824→\tvalue string,\n   825→\tfilters []*model.JobFilter,\n   826→\tbinSizeSeconds int,\n   827→\ttargetBinCount *int,\n   828→) ([]*model.HistoPoint, error) {\n   829→\tstart := time.Now()\n   830→\tquery, qerr := SecurityCheck(ctx,\n   831→\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n   832→\n   833→\tif qerr != nil {\n   834→\t\treturn nil, qerr\n   835→\t}\n   836→\n   837→\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n   838→\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n   839→\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n   840→\tfor i := 1; i <= *targetBinCount; i++ {\n   841→\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n   842→\t\tpoints = append(points, &point)\n   843→\t}\n   844→\n   845→\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n   846→\tbinMap := make(map[int]int, len(points))\n   847→\tfor i, p := range points {\n   848→\t\tbinMap[p.Value] = i\n   849→\t}\n   850→\n   851→\tfor _, f := range filters {\n   852→\t\tquery = BuildWhereClause(f, query)\n   853→\t}\n   854→\n   855→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n   856→\tif err != nil {\n   857→\t\tcclog.Error(\"Error while running query\")\n   858→\t\treturn nil, err\n   859→\t}\n   860→\tdefer rows.Close()\n   861→\n   862→\t// Match query results to pre-initialized bins using map lookup.\n   863→\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n   864→\tfor rows.Next() {\n   865→\t\tpoint := model.HistoPoint{}\n   866→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n   867→\t\t\tcclog.Warn(\"Error while scanning rows\")\n   868→\t\t\treturn nil, err\n   869→\t\t}\n   870→\n   871→\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n   872→\t\t\tpoints[idx].Count = point.Count\n   873→\t\t}\n   874→\t}\n   875→\n   876→\tif err := rows.Err(); err != nil {\n   877→\t\treturn nil, err\n   878→\t}\n   879→\n   880→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n   881→\treturn points, nil\n   882→}\n   883→\n   884→// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n   885→//\n   886→// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n   887→// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n   888→// and computing bin assignments in SQL.\n   889→//\n   890→// Parameters:\n   891→//   - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n   892→//   - filters: Job filters to apply\n   893→//   - bins: Number of bins to generate\n   894→//\n   895→// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n   896→//\n   897→// Algorithm:\n   898→//  1. Determine peak value from cluster configuration (filtered cluster or max across all)\n   899→//  2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n   900→//  3. Pre-initialize bins with min/max ranges based on peak value\n   901→//  4. Query database for counts per bin\n   902→//  5. Match results to pre-initialized bins\n   903→//\n   904→// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n   905→// peak by 0.999999999 to avoid creating an extra bin.\n   906→func (r *JobRepository) jobsMetricStatisticsHistogram(\n   907→\tctx context.Context,\n   908→\tmetric string,\n   909→\tfilters []*model.JobFilter,\n   910→\tbins *int,\n   911→) (*model.MetricHistoPoints, error) {\n   912→\t// Peak value defines the upper bound for binning: values are distributed across\n   913→\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n   914→\t// scan all clusters to find the maximum peak value.\n   915→\tvar metricConfig *schema.MetricConfig\n   916→\tvar peak float64\n   917→\tvar unit string\n   918→\tvar footprintStat string\n   919→\n   920→\t// Try to get metric config from filtered cluster\n   921→\tfor _, f := range filters {\n   922→\t\tif f.Cluster != nil {\n   923→\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n   924→\t\t\tpeak = metricConfig.Peak\n   925→\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n   926→\t\t\tfootprintStat = metricConfig.Footprint\n   927→\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n   928→\t\t}\n   929→\t}\n   930→\n   931→\t// If no cluster filter or peak not found, find largest peak across all clusters\n   932→\t// This ensures histogram can accommodate all possible values\n   933→\tif peak == 0.0 {\n   934→\t\tfor _, c := range archive.Clusters {\n   935→\t\t\tfor _, m := range c.MetricConfig {\n   936→\t\t\t\tif m.Name == metric {\n   937→\t\t\t\t\tif m.Peak > peak {\n   938→\t\t\t\t\t\tpeak = m.Peak\n   939→\t\t\t\t\t}\n   940→\t\t\t\t\tif unit == \"\" {\n   941→\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n   942→\t\t\t\t\t}\n   943→\t\t\t\t\tif footprintStat == \"\" {\n   944→\t\t\t\t\t\tfootprintStat = m.Footprint\n   945→\t\t\t\t\t}\n   946→\t\t\t\t}\n   947→\t\t\t}\n   948→\t\t}\n   949→\t}\n   950→\n   951→\t// Construct SQL histogram bins using normalized values.\n   952→\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n   953→\tstart := time.Now()\n   954→\n   955→\t// Bin calculation formula:\n   956→\t//   bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n   957→\t// Special case: value == peak would create bin N+1, so we test for equality\n   958→\t// and multiply peak by 0.999999999 to force it into bin N.\n   959→\tbinQuery := fmt.Sprintf(`CAST(\n   960→\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n   961→\t\t* %v as INTEGER )`,\n   962→\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n   963→\n   964→\tmainQuery := sq.Select(\n   965→\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n   966→\t\t`count(*) as count`,\n   967→\t).From(\"job\").Where(\n   968→\t\t\"JSON_VALID(footprint)\",\n   969→\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n   970→\n   971→\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n   972→\tif qerr != nil {\n   973→\t\treturn nil, qerr\n   974→\t}\n   975→\n   976→\tfor _, f := range filters {\n   977→\t\tmainQuery = BuildWhereClause(f, mainQuery)\n   978→\t}\n   979→\n   980→\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n   981→\n   982→\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n   983→\tif err != nil {\n   984→\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n   985→\t\treturn nil, err\n   986→\t}\n   987→\tdefer rows.Close()\n   988→\n   989→\t// Pre-initialize bins with calculated min/max ranges.\n   990→\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n   991→\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n   992→\tbinStep := int(peak) / *bins\n   993→\tfor i := 1; i <= *bins; i++ {\n   994→\t\tbinMin := (binStep * (i - 1))\n   995→\t\tbinMax := (binStep * i)\n   996→\t\tidx := i\n   997→\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n   998→\t\tpoints = append(points, &epoint)\n   999→\t}\n  1000→\n  1001→\t// Build a map from bin number to slice index for O(1) lookup.\n  1002→\tbinMap := make(map[int]int, len(points))\n  1003→\tfor i, p := range points {\n  1004→\t\tif p.Bin != nil {\n  1005→\t\t\tbinMap[*p.Bin] = i\n  1006→\t\t}\n  1007→\t}\n  1008→\n  1009→\t// Match query results to pre-initialized bins using map lookup.\n  1010→\tfor rows.Next() {\n  1011→\t\trpoint := model.MetricHistoPoint{}\n  1012→\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n  1013→\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n  1014→\t\t\treturn nil, err\n  1015→\t\t}\n  1016→\n  1017→\t\tif rpoint.Bin != nil {\n  1018→\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n  1019→\t\t\t\tpoints[idx].Count = rpoint.Count\n  1020→\t\t\t}\n  1021→\t\t}\n  1022→\t}\n  1023→\n  1024→\tif err := rows.Err(); err != nil {\n  1025→\t\treturn nil, err\n  1026→\t}\n  1027→\n  1028→\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n  1029→\n  1030→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n  1031→\treturn &result, nil\n  1032→}\n  1033→\n  1034→// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n  1035→//\n  1036→// Unlike completed jobs which use footprint data from the database, running jobs require\n  1037→// fetching current metric averages from the metric backend (via metricdispatch).\n  1038→//\n  1039→// Parameters:\n  1040→//   - metrics: List of metric names\n  1041→//   - filters: Job filters (should filter to running jobs only)\n  1042→//   - bins: Number of histogram bins\n  1043→//\n  1044→// Returns slice of MetricHistoPoints, one per metric.\n  1045→//\n  1046→// Limitations:\n  1047→//   - Maximum 5000 jobs (returns nil if more jobs match)\n  1048→//   - Requires metric backend availability\n  1049→//   - Bins based on metric peak values from cluster configuration\n  1050→//\n  1051→// Algorithm:\n  1052→//  1. Query first 5001 jobs to check count limit\n  1053→//  2. Load metric averages for all jobs via metricdispatch\n  1054→//  3. For each metric, create bins based on peak value\n  1055→//  4. Iterate averages and count jobs per bin\n  1056→func (r *JobRepository) runningJobsMetricStatisticsHistogram(\n  1057→\tctx context.Context,\n  1058→\tmetrics []string,\n  1059→\tfilters []*model.JobFilter,\n  1060→\tbins *int,\n  1061→) []*model.MetricHistoPoints {\n  1062→\t// Get Jobs\n  1063→\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n  1064→\tif err != nil {\n  1065→\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n  1066→\t\treturn nil\n  1067→\t}\n  1068→\tif len(jobs) > 5000 {\n  1069→\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n  1070→\t\treturn nil\n  1071→\t}\n  1072→\n  1073→\t// Get AVGs from metric repo\n  1074→\tavgs := make([][]schema.Float, len(metrics))\n  1075→\tfor i := range avgs {\n  1076→\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n  1077→\t}\n  1078→\n  1079→\tfor _, job := range jobs {\n  1080→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n  1081→\t\t\tcontinue\n  1082→\t\t}\n  1083→\n  1084→\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n  1085→\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n  1086→\t\t\treturn nil\n  1087→\t\t}\n  1088→\t}\n  1089→\n  1090→\t// Iterate metrics to fill endresult\n  1091→\tdata := make([]*model.MetricHistoPoints, 0)\n  1092→\tfor idx, metric := range metrics {\n  1093→\t\t// Get specific Peak or largest Peak\n  1094→\t\tvar metricConfig *schema.MetricConfig\n  1095→\t\tvar peak float64\n  1096→\t\tvar unit string\n  1097→\n  1098→\t\tfor _, f := range filters {\n  1099→\t\t\tif f.Cluster != nil {\n  1100→\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n  1101→\t\t\t\tpeak = metricConfig.Peak\n  1102→\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n  1103→\t\t\t}\n  1104→\t\t}\n  1105→\n  1106→\t\tif peak == 0.0 {\n  1107→\t\t\tfor _, c := range archive.Clusters {\n  1108→\t\t\t\tfor _, m := range c.MetricConfig {\n  1109→\t\t\t\t\tif m.Name == metric {\n  1110→\t\t\t\t\t\tif m.Peak > peak {\n  1111→\t\t\t\t\t\t\tpeak = m.Peak\n  1112→\t\t\t\t\t\t}\n  1113→\t\t\t\t\t\tif unit == \"\" {\n  1114→\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n  1115→\t\t\t\t\t\t}\n  1116→\t\t\t\t\t}\n  1117→\t\t\t\t}\n  1118→\t\t\t}\n  1119→\t\t}\n  1120→\n  1121→\t\t// Make and fill bins\n  1122→\t\tpeakBin := int(peak) / *bins\n  1123→\n  1124→\t\tpoints := make([]*model.MetricHistoPoint, 0)\n  1125→\t\tfor b := 0; b < *bins; b++ {\n  1126→\t\t\tcount := 0\n  1127→\t\t\tbindex := b + 1\n  1128→\t\t\tbmin := peakBin * b\n  1129→\t\t\tbmax := peakBin * (b + 1)\n  1130→\n  1131→\t\t\t// Iterate AVG values for indexed metric and count for bins\n  1132→\t\t\tfor _, val := range avgs[idx] {\n  1133→\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n  1134→\t\t\t\t\tcount += 1\n  1135→\t\t\t\t}\n  1136→\t\t\t}\n  1137→\n  1138→\t\t\t// Append Bin to Metric Result Array\n  1139→\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n  1140→\t\t\tpoints = append(points, &point)\n  1141→\t\t}\n  1142→\n  1143→\t\t// Append Metric Result Array to final results array\n  1144→\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n  1145→\t\tdata = append(data, &result)\n  1146→\t}\n  1147→\n  1148→\treturn data\n  1149→}\n  1150→"}]},"uuid":"1b08c0d7-88e3-46bf-b4e5-d3e9eefe380b","timestamp":"2026-03-16T10:18:49.571Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"0666b457-3523-46a7-8f45-9dbe3741fc13","timestamp":"2026-03-16T10:18:49.616Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"7e10136c-ebdc-48e4-9f8c-a7fbd406df6d","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Y6uvcUMmeCH46KE6L5JveJ","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package repository\n     6→\n     7→import (\n     8→\t\"encoding/json\"\n     9→\t\"maps\"\n    10→\t\"sync\"\n    11→\t\"time\"\n    12→\n    13→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    14→\t\"github.com/ClusterCockpit/cc-backend/web\"\n    15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    16→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n    17→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    18→\t\"github.com/jmoiron/sqlx\"\n    19→)\n    20→\n    21→var (\n    22→\tuserCfgRepoOnce     sync.Once\n    23→\tuserCfgRepoInstance *UserCfgRepo\n    24→)\n    25→\n    26→type UserCfgRepo struct {\n    27→\tDB         *sqlx.DB\n    28→\tLookup     *sqlx.Stmt\n    29→\tuiDefaults map[string]any\n    30→\tcache      *lrucache.Cache\n    31→\tlock       sync.RWMutex\n    32→}\n    33→\n    34→func GetUserCfgRepo() *UserCfgRepo {\n    35→\tuserCfgRepoOnce.Do(func() {\n    36→\t\tdb := GetConnection()\n    37→\n    38→\t\tlookupConfigStmt, err := db.DB.Preparex(`SELECT confkey, value FROM configuration WHERE configuration.username = ?`)\n    39→\t\tif err != nil {\n    40→\t\t\tcclog.Fatalf(\"User Config: Call 'db.DB.Preparex()' failed.\\nError: %s\\n\", err.Error())\n    41→\t\t}\n    42→\n    43→\t\tuserCfgRepoInstance = &UserCfgRepo{\n    44→\t\t\tDB:         db.DB,\n    45→\t\t\tLookup:     lookupConfigStmt,\n    46→\t\t\tuiDefaults: web.UIDefaultsMap,\n    47→\t\t\tcache:      lrucache.New(1024),\n    48→\t\t}\n    49→\t})\n    50→\n    51→\treturn userCfgRepoInstance\n    52→}\n    53→\n    54→// Return the personalised UI config for the currently authenticated\n    55→// user or return the plain default config.\n    56→func (uCfg *UserCfgRepo) GetUIConfig(user *schema.User) (map[string]any, error) {\n    57→\tif user == nil {\n    58→\t\tcopy := make(map[string]any, len(uCfg.uiDefaults))\n    59→\t\tmaps.Copy(copy, uCfg.uiDefaults)\n    60→\t\treturn copy, nil\n    61→\t}\n    62→\n    63→\t// Is the cache invalidated in case the options are changed?\n    64→\tdata := uCfg.cache.Get(user.Username, func() (any, time.Duration, int) {\n    65→\t\tuiconfig := make(map[string]any, len(uCfg.uiDefaults))\n    66→\t\tmaps.Copy(uiconfig, uCfg.uiDefaults)\n    67→\n    68→\t\trows, err := uCfg.Lookup.Query(user.Username)\n    69→\t\tif err != nil {\n    70→\t\t\tcclog.Warnf(\"Error while looking up user uiconfig for user '%v'\", user.Username)\n    71→\t\t\treturn err, 0, 0\n    72→\t\t}\n    73→\n    74→\t\tsize := 0\n    75→\t\tdefer rows.Close()\n    76→\t\tfor rows.Next() {\n    77→\t\t\tvar key, rawval string\n    78→\t\t\tif err := rows.Scan(&key, &rawval); err != nil {\n    79→\t\t\t\tcclog.Warn(\"Error while scanning user uiconfig values\")\n    80→\t\t\t\treturn err, 0, 0\n    81→\t\t\t}\n    82→\n    83→\t\t\tvar val any\n    84→\t\t\tif err := json.Unmarshal([]byte(rawval), &val); err != nil {\n    85→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw user uiconfig json\")\n    86→\t\t\t\treturn err, 0, 0\n    87→\t\t\t}\n    88→\n    89→\t\t\tsize += len(key)\n    90→\t\t\tsize += len(rawval)\n    91→\t\t\tuiconfig[key] = val\n    92→\t\t}\n    93→\n    94→\t\t// Add global ShortRunningJobsDuration setting as jobList_hideShortRunningJobs\n    95→\t\tuiconfig[\"jobList_hideShortRunningJobs\"] = config.Keys.ShortRunningJobsDuration\n    96→\n    97→\t\treturn uiconfig, 24 * time.Hour, size\n    98→\t})\n    99→\tif err, ok := data.(error); ok {\n   100→\t\tcclog.Error(\"Error in returned dataset\")\n   101→\t\treturn nil, err\n   102→\t}\n   103→\n   104→\treturn data.(map[string]any), nil\n   105→}\n   106→\n   107→// If the context does not have a user, update the global ui configuration\n   108→// without persisting it!  If there is a (authenticated) user, update only his\n   109→// configuration.\n   110→func (uCfg *UserCfgRepo) UpdateConfig(\n   111→\tkey, value string,\n   112→\tuser *schema.User,\n   113→) error {\n   114→\tif user == nil {\n   115→\t\treturn nil\n   116→\t}\n   117→\n   118→\tif _, err := uCfg.DB.Exec(`REPLACE INTO configuration (username, confkey, value) VALUES (?, ?, ?)`, user.Username, key, value); err != nil {\n   119→\t\tcclog.Warnf(\"Error while replacing user config in DB for user '%v'\", user.Username)\n   120→\t\treturn err\n   121→\t}\n   122→\n   123→\tuCfg.cache.Del(user.Username)\n   124→\treturn nil\n   125→}\n   126→"}]},"uuid":"26b657ef-8d4f-4de6-b998-37cf55ac4d70","timestamp":"2026-03-16T10:18:49.618Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"d8270e24-3094-4818-af66-af3c4231100c","timestamp":"2026-03-16T10:18:49.714Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"e910ccc3-d5eb-4e2f-8003-6a46c3a6f551","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CpiGuLdz7DarZP3aRM8bis","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"bytes\"\n    10→\t\"encoding/json\"\n    11→\t\"time\"\n    12→\n    13→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n    14→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    16→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    17→\t\"github.com/go-co-op/gocron/v2\"\n    18→)\n    19→\n    20→const (\n    21→\tDefaultCompressOlderThan = 7\n    22→)\n    23→\n    24→// Retention defines the configuration for job retention policies.\n    25→type Retention struct {\n    26→\tPolicy             string `json:\"policy\"`\n    27→\tFormat             string `json:\"format\"`\n    28→\tAge                int    `json:\"age\"`\n    29→\tIncludeDB          bool   `json:\"include-db\"`\n    30→\tOmitTagged         string `json:\"omit-tagged\"`\n    31→\tTargetKind         string `json:\"target-kind\"`\n    32→\tTargetPath         string `json:\"target-path\"`\n    33→\tTargetEndpoint     string `json:\"target-endpoint\"`\n    34→\tTargetBucket       string `json:\"target-bucket\"`\n    35→\tTargetAccessKey    string `json:\"target-access-key\"`\n    36→\tTargetSecretKey    string `json:\"target-secret-key\"`\n    37→\tTargetRegion       string `json:\"target-region\"`\n    38→\tTargetUsePathStyle bool   `json:\"target-use-path-style\"`\n    39→\tMaxFileSizeMB      int    `json:\"max-file-size-mb\"`\n    40→}\n    41→\n    42→// CronFrequency defines the execution intervals for various background workers.\n    43→type CronFrequency struct {\n    44→\t// Duration Update Worker [Defaults to '2m']\n    45→\tCommitJobWorker string `json:\"commit-job-worker\"`\n    46→\t// Duration Update Worker [Defaults to '5m']\n    47→\tDurationWorker string `json:\"duration-worker\"`\n    48→\t// Metric-Footprint Update Worker [Defaults to '10m']\n    49→\tFootprintWorker string `json:\"footprint-worker\"`\n    50→}\n    51→\n    52→var (\n    53→\ts       gocron.Scheduler\n    54→\tjobRepo *repository.JobRepository\n    55→\t// Keys holds the configured frequencies for cron jobs.\n    56→\tKeys CronFrequency\n    57→)\n    58→\n    59→// parseDuration parses a duration string and handles errors by logging them.\n    60→// It returns the duration and any error encountered.\n    61→func parseDuration(s string) (time.Duration, error) {\n    62→\tinterval, err := time.ParseDuration(s)\n    63→\tif err != nil {\n    64→\t\tcclog.Warnf(\"Could not parse duration for sync interval: %v\",\n    65→\t\t\ts)\n    66→\t\treturn 0, err\n    67→\t}\n    68→\n    69→\tif interval == 0 {\n    70→\t\tcclog.Info(\"TaskManager: Sync interval is zero\")\n    71→\t}\n    72→\n    73→\treturn interval, nil\n    74→}\n    75→\n    76→func initArchiveServices(config json.RawMessage) {\n    77→\tvar cfg struct {\n    78→\t\tRetention   Retention `json:\"retention\"`\n    79→\t\tCompression int       `json:\"compression\"`\n    80→\t}\n    81→\tcfg.Retention.IncludeDB = true\n    82→\n    83→\tif err := json.Unmarshal(config, &cfg); err != nil {\n    84→\t\tcclog.Errorf(\"error while unmarshaling raw config json: %v\", err)\n    85→\t}\n    86→\n    87→\tswitch cfg.Retention.Policy {\n    88→\tcase \"delete\":\n    89→\t\tRegisterRetentionDeleteService(cfg.Retention)\n    90→\tcase \"copy\":\n    91→\t\tRegisterRetentionCopyService(cfg.Retention)\n    92→\tcase \"move\":\n    93→\t\tRegisterRetentionMoveService(cfg.Retention)\n    94→\t}\n    95→\n    96→\tif cfg.Compression > 0 {\n    97→\t\tRegisterCompressionService(cfg.Compression)\n    98→\t} else {\n    99→\t\tRegisterCompressionService(DefaultCompressOlderThan)\n   100→\t}\n   101→}\n   102→\n   103→// Start initializes the task manager, parses configurations, and registers background tasks.\n   104→// It starts the gocron scheduler.\n   105→func Start(cronCfg, archiveConfig json.RawMessage) {\n   106→\tvar err error\n   107→\tjobRepo = repository.GetJobRepository()\n   108→\ts, err = gocron.NewScheduler()\n   109→\tif err != nil {\n   110→\t\tcclog.Abortf(\"Taskmanager Start: Could not create gocron scheduler.\\nError: %s\\n\", err.Error())\n   111→\t}\n   112→\n   113→\tif config.Keys.StopJobsExceedingWalltime > 0 {\n   114→\t\tRegisterStopJobsExceedTime()\n   115→\t}\n   116→\n   117→\tdec := json.NewDecoder(bytes.NewReader(cronCfg))\n   118→\tdec.DisallowUnknownFields()\n   119→\tif err := dec.Decode(&Keys); err != nil {\n   120→\t\tcclog.Errorf(\"error while decoding cron config: %v\", err)\n   121→\t}\n   122→\n   123→\tif archiveConfig != nil {\n   124→\t\tinitArchiveServices(archiveConfig)\n   125→\t} else {\n   126→\t\t// Always enable compression\n   127→\t\tRegisterCompressionService(DefaultCompressOlderThan)\n   128→\t}\n   129→\n   130→\tlc := auth.Keys.LdapConfig\n   131→\n   132→\tif lc != nil && lc.SyncInterval != \"\" {\n   133→\t\tRegisterLdapSyncService(lc.SyncInterval)\n   134→\t}\n   135→\n   136→\tRegisterFootprintWorker()\n   137→\tRegisterUpdateDurationWorker()\n   138→\tRegisterCommitJobService()\n   139→\n   140→\tif config.Keys.NodeStateRetention != nil && config.Keys.NodeStateRetention.Policy != \"\" {\n   141→\t\tinitNodeStateRetention()\n   142→\t}\n   143→\n   144→\ts.Start()\n   145→}\n   146→\n   147→func initNodeStateRetention() {\n   148→\tcfg := config.Keys.NodeStateRetention\n   149→\tage := cfg.Age\n   150→\tif age <= 0 {\n   151→\t\tage = 24\n   152→\t}\n   153→\n   154→\tswitch cfg.Policy {\n   155→\tcase \"delete\":\n   156→\t\tRegisterNodeStateRetentionDeleteService(age)\n   157→\tcase \"move\":\n   158→\t\tRegisterNodeStateRetentionMoveService(cfg)\n   159→\tdefault:\n   160→\t\tcclog.Warnf(\"Unknown nodestate-retention policy: %s\", cfg.Policy)\n   161→\t}\n   162→}\n   163→\n   164→// Shutdown stops the task manager and its scheduler.\n   165→func Shutdown() {\n   166→\tif s != nil {\n   167→\t\ts.Shutdown()\n   168→\t}\n   169→}\n   170→"}]},"uuid":"b840ac82-4a71-46d9-966b-08f9e24c9ff6","timestamp":"2026-03-16T10:18:50.450Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"01afc9b5-e14c-4c7f-9c82-78662ffd0b55","timestamp":"2026-03-16T10:18:50.776Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"01afc9b5-e14c-4c7f-9c82-78662ffd0b55","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:50.952Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01U1b7E1LkY7Mpj9eAiD9htg","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016yhvR19UmnU9A4PBVr5Bav","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/server.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":732,"cache_read_input_tokens":18318,"cache_creation":{"ephemeral_5m_input_tokens":732,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6owgZ8C1ittjgPqDs","uuid":"fb5717cc-7ae1-4942-aa0d-3cac688edc69"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"3abb3ed5-e1ac-444b-8400-ea37551200fc","timestamp":"2026-03-16T10:18:50.952Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"3abb3ed5-e1ac-444b-8400-ea37551200fc","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016yhvR19UmnU9A4PBVr5Bav","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package main provides the entry point for the ClusterCockpit backend server.\n     7→// This file contains HTTP server setup, routing configuration, and\n     8→// authentication middleware integration.\n     9→package main\n    10→\n    11→import (\n    12→\t\"context\"\n    13→\t\"crypto/tls\"\n    14→\t\"encoding/json\"\n    15→\t\"errors\"\n    16→\t\"fmt\"\n    17→\t\"net\"\n    18→\t\"net/http\"\n    19→\t\"os\"\n    20→\t\"strings\"\n    21→\t\"time\"\n    22→\n    23→\t\"github.com/99designs/gqlgen/graphql\"\n    24→\t\"github.com/99designs/gqlgen/graphql/handler\"\n    25→\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n    26→\t\"github.com/99designs/gqlgen/graphql/playground\"\n    27→\t\"github.com/ClusterCockpit/cc-backend/internal/api\"\n    28→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    29→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n    30→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    31→\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n    32→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n    33→\t\"github.com/ClusterCockpit/cc-backend/internal/routerConfig\"\n    34→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n    35→\t\"github.com/ClusterCockpit/cc-backend/web\"\n    36→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    37→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    38→\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n    39→\t\"github.com/go-chi/chi/v5\"\n    40→\t\"github.com/go-chi/chi/v5/middleware\"\n    41→\t\"github.com/go-chi/cors\"\n    42→\thttpSwagger \"github.com/swaggo/http-swagger\"\n    43→)\n    44→\n    45→var buildInfo web.Build\n    46→\n    47→// Environment variable names\n    48→const (\n    49→\tenvDebug = \"DEBUG\"\n    50→)\n    51→\n    52→// Server encapsulates the HTTP server state and dependencies\n    53→type Server struct {\n    54→\trouter        chi.Router\n    55→\tserver        *http.Server\n    56→\trestAPIHandle *api.RestAPI\n    57→\tnatsAPIHandle *api.NatsAPI\n    58→}\n    59→\n    60→func onFailureResponse(rw http.ResponseWriter, r *http.Request, err error) {\n    61→\trw.Header().Add(\"Content-Type\", \"application/json\")\n    62→\trw.WriteHeader(http.StatusUnauthorized)\n    63→\tjson.NewEncoder(rw).Encode(map[string]string{\n    64→\t\t\"status\": http.StatusText(http.StatusUnauthorized),\n    65→\t\t\"error\":  err.Error(),\n    66→\t})\n    67→}\n    68→\n    69→// NewServer creates and initializes a new Server instance\n    70→func NewServer(version, commit, buildDate string) (*Server, error) {\n    71→\tbuildInfo = web.Build{Version: version, Hash: commit, Buildtime: buildDate}\n    72→\n    73→\ts := &Server{\n    74→\t\trouter: chi.NewRouter(),\n    75→\t}\n    76→\n    77→\tif err := s.init(); err != nil {\n    78→\t\treturn nil, err\n    79→\t}\n    80→\n    81→\treturn s, nil\n    82→}\n    83→\n    84→func (s *Server) init() error {\n    85→\t// Setup the http.Handler/Router used by the server\n    86→\tgraph.Init()\n    87→\tresolver := graph.GetResolverInstance()\n    88→\tgraphQLServer := handler.New(\n    89→\t\tgenerated.NewExecutableSchema(generated.Config{Resolvers: resolver}))\n    90→\n    91→\tgraphQLServer.AddTransport(transport.POST{})\n    92→\n    93→\t// Inject a per-request stats cache so that grouped statistics queries\n    94→\t// sharing the same (filter, groupBy) pair are executed only once.\n    95→\tgraphQLServer.AroundOperations(func(ctx context.Context, next graphql.OperationHandler) graphql.ResponseHandler {\n    96→\t\treturn next(graph.WithStatsGroupCache(ctx))\n    97→\t})\n    98→\n    99→\tif os.Getenv(envDebug) != \"1\" {\n   100→\t\t// Having this handler means that a error message is returned via GraphQL instead of the connection simply beeing closed.\n   101→\t\t// The problem with this is that then, no more stacktrace is printed to stderr.\n   102→\t\tgraphQLServer.SetRecoverFunc(func(ctx context.Context, err any) error {\n   103→\t\t\tswitch e := err.(type) {\n   104→\t\t\tcase string:\n   105→\t\t\t\treturn fmt.Errorf(\"MAIN > Panic: %s\", e)\n   106→\t\t\tcase error:\n   107→\t\t\t\treturn fmt.Errorf(\"MAIN > Panic caused by: %s\", e.Error())\n   108→\t\t\t}\n   109→\n   110→\t\t\treturn errors.New(\"MAIN > Internal server error (panic)\")\n   111→\t\t})\n   112→\t}\n   113→\n   114→\tauthHandle := auth.GetAuthInstance()\n   115→\n   116→\t// Middleware must be defined before routes in chi\n   117→\ts.router.Use(func(next http.Handler) http.Handler {\n   118→\t\treturn http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n   119→\t\t\tstart := time.Now()\n   120→\t\t\tww := middleware.NewWrapResponseWriter(rw, r.ProtoMajor)\n   121→\t\t\tnext.ServeHTTP(ww, r)\n   122→\t\t\tcclog.Debugf(\"%s %s (%d, %.02fkb, %dms)\",\n   123→\t\t\t\tr.Method, r.URL.RequestURI(),\n   124→\t\t\t\tww.Status(), float32(ww.BytesWritten())/1024,\n   125→\t\t\t\ttime.Since(start).Milliseconds())\n   126→\t\t})\n   127→\t})\n   128→\ts.router.Use(middleware.Compress(5))\n   129→\ts.router.Use(middleware.Recoverer)\n   130→\ts.router.Use(cors.Handler(cors.Options{\n   131→\t\tAllowCredentials: true,\n   132→\t\tAllowedHeaders:   []string{\"X-Requested-With\", \"Content-Type\", \"Authorization\", \"Origin\"},\n   133→\t\tAllowedMethods:   []string{\"GET\", \"POST\", \"HEAD\", \"OPTIONS\"},\n   134→\t\tAllowedOrigins:   []string{\"*\"},\n   135→\t}))\n   136→\n   137→\ts.restAPIHandle = api.New()\n   138→\n   139→\tinfo := map[string]any{}\n   140→\tinfo[\"hasOpenIDConnect\"] = false\n   141→\n   142→\tif auth.Keys.OpenIDConfig != nil {\n   143→\t\topenIDConnect := auth.NewOIDC(authHandle)\n   144→\t\topenIDConnect.RegisterEndpoints(s.router)\n   145→\t\tinfo[\"hasOpenIDConnect\"] = true\n   146→\t}\n   147→\n   148→\ts.router.Get(\"/login\", func(rw http.ResponseWriter, r *http.Request) {\n   149→\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n   150→\t\tcclog.Debugf(\"##%v##\", info)\n   151→\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{Title: \"Login\", Build: buildInfo, Infos: info})\n   152→\t})\n   153→\ts.router.HandleFunc(\"/imprint\", func(rw http.ResponseWriter, r *http.Request) {\n   154→\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n   155→\t\tweb.RenderTemplate(rw, \"imprint.tmpl\", &web.Page{Title: \"Imprint\", Build: buildInfo})\n   156→\t})\n   157→\ts.router.HandleFunc(\"/privacy\", func(rw http.ResponseWriter, r *http.Request) {\n   158→\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n   159→\t\tweb.RenderTemplate(rw, \"privacy.tmpl\", &web.Page{Title: \"Privacy\", Build: buildInfo})\n   160→\t})\n   161→\n   162→\tif !config.Keys.DisableAuthentication {\n   163→\t\t// Create login failure handler (used by both /login and /jwt-login)\n   164→\t\tloginFailureHandler := func(rw http.ResponseWriter, r *http.Request, err error) {\n   165→\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n   166→\t\t\trw.WriteHeader(http.StatusUnauthorized)\n   167→\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n   168→\t\t\t\tTitle:   \"Login failed - ClusterCockpit\",\n   169→\t\t\t\tMsgType: \"alert-warning\",\n   170→\t\t\t\tMessage: err.Error(),\n   171→\t\t\t\tBuild:   buildInfo,\n   172→\t\t\t\tInfos:   info,\n   173→\t\t\t})\n   174→\t\t}\n   175→\n   176→\t\ts.router.Post(\"/login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n   177→\t\ts.router.HandleFunc(\"/jwt-login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n   178→\n   179→\t\ts.router.Post(\"/logout\", authHandle.Logout(\n   180→\t\t\thttp.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n   181→\t\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n   182→\t\t\t\trw.WriteHeader(http.StatusOK)\n   183→\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n   184→\t\t\t\t\tTitle:   \"Bye - ClusterCockpit\",\n   185→\t\t\t\t\tMsgType: \"alert-info\",\n   186→\t\t\t\t\tMessage: \"Logout successful\",\n   187→\t\t\t\t\tBuild:   buildInfo,\n   188→\t\t\t\t\tInfos:   info,\n   189→\t\t\t\t})\n   190→\t\t\t})).ServeHTTP)\n   191→\t}\n   192→\n   193→\tif flagDev {\n   194→\t\ts.router.Handle(\"/playground\", playground.Handler(\"GraphQL playground\", \"/query\"))\n   195→\t\ts.router.Get(\"/swagger/*\", httpSwagger.Handler(\n   196→\t\t\thttpSwagger.URL(\"http://\"+config.Keys.Addr+\"/swagger/doc.json\")))\n   197→\t}\n   198→\n   199→\t// Secured routes (require authentication)\n   200→\ts.router.Group(func(secured chi.Router) {\n   201→\t\tif !config.Keys.DisableAuthentication {\n   202→\t\t\tsecured.Use(func(next http.Handler) http.Handler {\n   203→\t\t\t\treturn authHandle.Auth(\n   204→\t\t\t\t\tnext,\n   205→\t\t\t\t\tfunc(rw http.ResponseWriter, r *http.Request, err error) {\n   206→\t\t\t\t\t\trw.WriteHeader(http.StatusUnauthorized)\n   207→\t\t\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n   208→\t\t\t\t\t\t\tTitle:    \"Authentication failed - ClusterCockpit\",\n   209→\t\t\t\t\t\t\tMsgType:  \"alert-danger\",\n   210→\t\t\t\t\t\t\tMessage:  err.Error(),\n   211→\t\t\t\t\t\t\tBuild:    buildInfo,\n   212→\t\t\t\t\t\t\tInfos:    info,\n   213→\t\t\t\t\t\t\tRedirect: r.RequestURI,\n   214→\t\t\t\t\t\t})\n   215→\t\t\t\t\t})\n   216→\t\t\t})\n   217→\t\t}\n   218→\n   219→\t\tsecured.Handle(\"/query\", graphQLServer)\n   220→\n   221→\t\tsecured.HandleFunc(\"/search\", func(rw http.ResponseWriter, r *http.Request) {\n   222→\t\t\trouterConfig.HandleSearchBar(rw, r, buildInfo)\n   223→\t\t})\n   224→\n   225→\t\trouterConfig.SetupRoutes(secured, buildInfo)\n   226→\t})\n   227→\n   228→\t// API routes (JWT token auth)\n   229→\ts.router.Route(\"/api\", func(apiRouter chi.Router) {\n   230→\t\t// Main API routes with API auth\n   231→\t\tapiRouter.Group(func(securedapi chi.Router) {\n   232→\t\t\tif !config.Keys.DisableAuthentication {\n   233→\t\t\t\tsecuredapi.Use(func(next http.Handler) http.Handler {\n   234→\t\t\t\t\treturn authHandle.AuthAPI(next, onFailureResponse)\n   235→\t\t\t\t})\n   236→\t\t\t}\n   237→\t\t\ts.restAPIHandle.MountAPIRoutes(securedapi)\n   238→\t\t})\n   239→\n   240→\t\t// Metric store API routes with separate auth\n   241→\t\tapiRouter.Group(func(metricstoreapi chi.Router) {\n   242→\t\t\tif !config.Keys.DisableAuthentication {\n   243→\t\t\t\tmetricstoreapi.Use(func(next http.Handler) http.Handler {\n   244→\t\t\t\t\treturn authHandle.AuthMetricStoreAPI(next, onFailureResponse)\n   245→\t\t\t\t})\n   246→\t\t\t}\n   247→\t\t\ts.restAPIHandle.MountMetricStoreAPIRoutes(metricstoreapi)\n   248→\t\t})\n   249→\t})\n   250→\n   251→\t// User API routes\n   252→\ts.router.Route(\"/userapi\", func(userapi chi.Router) {\n   253→\t\tif !config.Keys.DisableAuthentication {\n   254→\t\t\tuserapi.Use(func(next http.Handler) http.Handler {\n   255→\t\t\t\treturn authHandle.AuthUserAPI(next, onFailureResponse)\n   256→\t\t\t})\n   257→\t\t}\n   258→\t\ts.restAPIHandle.MountUserAPIRoutes(userapi)\n   259→\t})\n   260→\n   261→\t// Config API routes (uses Group with full paths to avoid shadowing\n   262→\t// the /config page route that is registered in the secured group)\n   263→\ts.router.Group(func(configapi chi.Router) {\n   264→\t\tif !config.Keys.DisableAuthentication {\n   265→\t\t\tconfigapi.Use(func(next http.Handler) http.Handler {\n   266→\t\t\t\treturn authHandle.AuthConfigAPI(next, onFailureResponse)\n   267→\t\t\t})\n   268→\t\t}\n   269→\t\ts.restAPIHandle.MountConfigAPIRoutes(configapi)\n   270→\t})\n   271→\n   272→\t// Frontend API routes\n   273→\ts.router.Route(\"/frontend\", func(frontendapi chi.Router) {\n   274→\t\tif !config.Keys.DisableAuthentication {\n   275→\t\t\tfrontendapi.Use(func(next http.Handler) http.Handler {\n   276→\t\t\t\treturn authHandle.AuthFrontendAPI(next, onFailureResponse)\n   277→\t\t\t})\n   278→\t\t}\n   279→\t\ts.restAPIHandle.MountFrontendAPIRoutes(frontendapi)\n   280→\t})\n   281→\n   282→\tif config.Keys.APISubjects != nil {\n   283→\t\ts.natsAPIHandle = api.NewNatsAPI()\n   284→\t\tif err := s.natsAPIHandle.StartSubscriptions(); err != nil {\n   285→\t\t\treturn fmt.Errorf(\"starting NATS subscriptions: %w\", err)\n   286→\t\t}\n   287→\t}\n   288→\n   289→\t// 404 handler for pages and API routes\n   290→\tnotFoundHandler := func(rw http.ResponseWriter, r *http.Request) {\n   291→\t\tif strings.HasPrefix(r.URL.Path, \"/api/\") || strings.HasPrefix(r.URL.Path, \"/userapi/\") ||\n   292→\t\t\tstrings.HasPrefix(r.URL.Path, \"/frontend/\") || strings.HasPrefix(r.URL.Path, \"/config/\") {\n   293→\t\t\trw.Header().Set(\"Content-Type\", \"application/json\")\n   294→\t\t\trw.WriteHeader(http.StatusNotFound)\n   295→\t\t\tjson.NewEncoder(rw).Encode(map[string]string{\n   296→\t\t\t\t\"status\": \"Resource not found\",\n   297→\t\t\t\t\"error\":  \"the requested endpoint does not exist\",\n   298→\t\t\t})\n   299→\t\t\treturn\n   300→\t\t}\n   301→\t\trw.Header().Set(\"Content-Type\", \"text/html; charset=utf-8\")\n   302→\t\trw.WriteHeader(http.StatusNotFound)\n   303→\t\tweb.RenderTemplate(rw, \"404.tmpl\", &web.Page{\n   304→\t\t\tTitle: \"Page Not Found\",\n   305→\t\t\tBuild: buildInfo,\n   306→\t\t})\n   307→\t}\n   308→\n   309→\t// Set NotFound on the router so chi uses it for all unmatched routes,\n   310→\t// including those under subrouters like /api, /userapi, /frontend, etc.\n   311→\ts.router.NotFound(notFoundHandler)\n   312→\n   313→\tif config.Keys.EmbedStaticFiles {\n   314→\t\tif i, err := os.Stat(\"./var/img\"); err == nil {\n   315→\t\t\tif i.IsDir() {\n   316→\t\t\t\tcclog.Info(\"Use local directory for static images\")\n   317→\t\t\t\ts.router.Handle(\"/img/*\", http.StripPrefix(\"/img/\", http.FileServer(http.Dir(\"./var/img\"))))\n   318→\t\t\t}\n   319→\t\t}\n   320→\t\tfileServer := http.StripPrefix(\"/\", web.ServeFiles())\n   321→\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n   322→\t\t\tif web.StaticFileExists(r.URL.Path) {\n   323→\t\t\t\tfileServer.ServeHTTP(rw, r)\n   324→\t\t\t\treturn\n   325→\t\t\t}\n   326→\t\t\tnotFoundHandler(rw, r)\n   327→\t\t}))\n   328→\t} else {\n   329→\t\tstaticDir := http.Dir(config.Keys.StaticFiles)\n   330→\t\tfileServer := http.FileServer(staticDir)\n   331→\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n   332→\t\t\tf, err := staticDir.Open(r.URL.Path)\n   333→\t\t\tif err == nil {\n   334→\t\t\t\tf.Close()\n   335→\t\t\t\tfileServer.ServeHTTP(rw, r)\n   336→\t\t\t\treturn\n   337→\t\t\t}\n   338→\t\t\tnotFoundHandler(rw, r)\n   339→\t\t}))\n   340→\t}\n   341→\n   342→\treturn nil\n   343→}\n   344→\n   345→// Server timeout defaults (in seconds)\n   346→const (\n   347→\tdefaultReadTimeout  = 20\n   348→\tdefaultWriteTimeout = 20\n   349→)\n   350→\n   351→func (s *Server) Start(ctx context.Context) error {\n   352→\t// Use configurable timeouts with defaults\n   353→\treadTimeout := time.Duration(defaultReadTimeout) * time.Second\n   354→\twriteTimeout := time.Duration(defaultWriteTimeout) * time.Second\n   355→\n   356→\ts.server = &http.Server{\n   357→\t\tReadTimeout:  readTimeout,\n   358→\t\tWriteTimeout: writeTimeout,\n   359→\t\tHandler:      s.router,\n   360→\t\tAddr:         config.Keys.Addr,\n   361→\t}\n   362→\n   363→\t// Start http or https server\n   364→\tlistener, err := net.Listen(\"tcp\", config.Keys.Addr)\n   365→\tif err != nil {\n   366→\t\treturn fmt.Errorf(\"starting listener on '%s': %w\", config.Keys.Addr, err)\n   367→\t}\n   368→\n   369→\tif !strings.HasSuffix(config.Keys.Addr, \":80\") && config.Keys.RedirectHTTPTo != \"\" {\n   370→\t\tgo func() {\n   371→\t\t\thttp.ListenAndServe(\":80\", http.RedirectHandler(config.Keys.RedirectHTTPTo, http.StatusMovedPermanently))\n   372→\t\t}()\n   373→\t}\n   374→\n   375→\tif config.Keys.HTTPSCertFile != \"\" && config.Keys.HTTPSKeyFile != \"\" {\n   376→\t\tcert, err := tls.LoadX509KeyPair(\n   377→\t\t\tconfig.Keys.HTTPSCertFile, config.Keys.HTTPSKeyFile)\n   378→\t\tif err != nil {\n   379→\t\t\treturn fmt.Errorf(\"loading X509 keypair (check 'https-cert-file' and 'https-key-file' in config.json): %w\", err)\n   380→\t\t}\n   381→\t\tlistener = tls.NewListener(listener, &tls.Config{\n   382→\t\t\tCertificates: []tls.Certificate{cert},\n   383→\t\t\tCipherSuites: []uint16{\n   384→\t\t\t\ttls.TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256,\n   385→\t\t\t\ttls.TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256,\n   386→\t\t\t},\n   387→\t\t\tMinVersion:               tls.VersionTLS12,\n   388→\t\t\tPreferServerCipherSuites: true,\n   389→\t\t})\n   390→\t\tcclog.Infof(\"HTTPS server listening at %s...\", config.Keys.Addr)\n   391→\t} else {\n   392→\t\tcclog.Infof(\"HTTP server listening at %s...\", config.Keys.Addr)\n   393→\t}\n   394→\t//\n   395→\t// Because this program will want to bind to a privileged port (like 80), the listener must\n   396→\t// be established first, then the user can be changed, and after that,\n   397→\t// the actual http server can be started.\n   398→\tif err := runtime.DropPrivileges(config.Keys.Group, config.Keys.User); err != nil {\n   399→\t\treturn fmt.Errorf(\"dropping privileges: %w\", err)\n   400→\t}\n   401→\n   402→\t// Handle context cancellation for graceful shutdown\n   403→\tgo func() {\n   404→\t\t<-ctx.Done()\n   405→\t\tshutdownCtx, cancel := context.WithTimeout(context.Background(), 30*time.Second)\n   406→\t\tdefer cancel()\n   407→\t\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n   408→\t\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n   409→\t\t}\n   410→\t}()\n   411→\n   412→\tif err = s.server.Serve(listener); err != nil && err != http.ErrServerClosed {\n   413→\t\treturn fmt.Errorf(\"server failed: %w\", err)\n   414→\t}\n   415→\treturn nil\n   416→}\n   417→\n   418→func (s *Server) Shutdown(ctx context.Context) {\n   419→\t// Create a shutdown context with timeout\n   420→\tshutdownCtx, cancel := context.WithTimeout(ctx, 30*time.Second)\n   421→\tdefer cancel()\n   422→\n   423→\tnc := nats.GetClient()\n   424→\tif nc != nil {\n   425→\t\tnc.Close()\n   426→\t}\n   427→\n   428→\t// First shut down the server gracefully (waiting for all ongoing requests)\n   429→\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n   430→\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n   431→\t}\n   432→\n   433→\t// Archive all the metric store data\n   434→\tms := metricstore.GetMemoryStore()\n   435→\n   436→\tif ms != nil {\n   437→\t\tmetricstore.Shutdown()\n   438→\t}\n   439→\n   440→\t// Shutdown archiver with 10 second timeout for fast shutdown\n   441→\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n   442→\t\tcclog.Warnf(\"Archiver shutdown: %v\", err)\n   443→\t}\n   444→}\n   445→"}]},"uuid":"7b6c56ec-39d9-4a50-88ed-3b62f3e9c091","timestamp":"2026-03-16T10:18:50.958Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"20c14204-0590-4339-9d5b-3a776c10857e","timestamp":"2026-03-16T10:18:51.005Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"5a11fcda-fbc0-4d2a-b438-24bfece03046","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EYSQna5UcVakBUY28WzWCZ","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"bufio\"\n    10→\t\"database/sql\"\n    11→\t\"encoding/json\"\n    12→\t\"errors\"\n    13→\t\"fmt\"\n    14→\t\"net/http\"\n    15→\t\"strconv\"\n    16→\t\"strings\"\n    17→\t\"sync\"\n    18→\t\"time\"\n    19→\n    20→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    21→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    22→\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n    23→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    24→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n    25→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    26→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    27→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    28→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    29→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    30→\t\"github.com/go-chi/chi/v5\"\n    31→)\n    32→\n    33→const (\n    34→\t// secondsPerDay is the number of seconds in 24 hours.\n    35→\t// Used for duplicate job detection within a day window.\n    36→\tsecondsPerDay = 86400\n    37→)\n    38→\n    39→// StopJobAPIRequest model\n    40→type StopJobAPIRequest struct {\n    41→\tJobID     *int64          `json:\"jobId\" example:\"123000\"`\n    42→\tCluster   *string         `json:\"cluster\" example:\"fritz\"`\n    43→\tStartTime *int64          `json:\"startTime\" example:\"1649723812\"`\n    44→\tState     schema.JobState `json:\"jobState\" validate:\"required\" example:\"completed\"`\n    45→\tStopTime  int64           `json:\"stopTime\" validate:\"required\" example:\"1649763839\"`\n    46→}\n    47→\n    48→// DeleteJobAPIRequest model\n    49→type DeleteJobAPIRequest struct {\n    50→\tJobID     *int64  `json:\"jobId\" validate:\"required\" example:\"123000\"` // Cluster Job ID of job\n    51→\tCluster   *string `json:\"cluster\" example:\"fritz\"`                    // Cluster of job\n    52→\tStartTime *int64  `json:\"startTime\" example:\"1649723812\"`             // Start Time of job as epoch\n    53→}\n    54→\n    55→// GetJobsAPIResponse model\n    56→type GetJobsAPIResponse struct {\n    57→\tJobs  []*schema.Job `json:\"jobs\"`  // Array of jobs\n    58→\tItems int           `json:\"items\"` // Number of jobs returned\n    59→\tPage  int           `json:\"page\"`  // Page id returned\n    60→}\n    61→\n    62→// APITag model\n    63→type APITag struct {\n    64→\t// Tag Type\n    65→\tType  string `json:\"type\" example:\"Debug\"`\n    66→\tName  string `json:\"name\" example:\"Testjob\"` // Tag Name\n    67→\tScope string `json:\"scope\" example:\"global\"` // Tag Scope for Frontend Display\n    68→}\n    69→\n    70→type EditMetaRequest struct {\n    71→\tKey   string `json:\"key\" example:\"jobScript\"`\n    72→\tValue string `json:\"value\" example:\"bash script\"`\n    73→}\n    74→\n    75→// JobMetaRequest model\n    76→type JobMetaRequest struct {\n    77→\tJobId     *int64          `json:\"jobId\" validate:\"required\" example:\"123000\"` // Cluster Job ID of job\n    78→\tCluster   *string         `json:\"cluster\" example:\"fritz\"`                    // Cluster of job\n    79→\tStartTime *int64          `json:\"startTime\" example:\"1649723812\"`             // Start Time of job as epoch\n    80→\tPayload   EditMetaRequest `json:\"payload\"`                                    // Content to Add to Job Meta_Data\n    81→}\n    82→\n    83→type TagJobAPIRequest []*APITag\n    84→\n    85→type GetJobAPIRequest []string\n    86→\n    87→type GetJobAPIResponse struct {\n    88→\tMeta *schema.Job\n    89→\tData []*JobMetricWithName\n    90→}\n    91→\n    92→type GetCompleteJobAPIResponse struct {\n    93→\tMeta *schema.Job\n    94→\tData schema.JobData\n    95→}\n    96→\n    97→type JobMetricWithName struct {\n    98→\tMetric *schema.JobMetric  `json:\"metric\"`\n    99→\tName   string             `json:\"name\"`\n   100→\tScope  schema.MetricScope `json:\"scope\"`\n   101→}\n   102→\n   103→// getJobs godoc\n   104→// @summary     Lists all jobs\n   105→// @tags Job query\n   106→// @description Get a list of all jobs. Filters can be applied using query parameters.\n   107→// @description Number of results can be limited by page. Results are sorted by descending startTime.\n   108→// @produce     json\n   109→// @param       state          query    string            false \"Job State\" Enums(running, completed, failed, cancelled, stopped, timeout)\n   110→// @param       cluster        query    string            false \"Job Cluster\"\n   111→// @param       start-time     query    string            false \"Syntax: '$from-$to', as unix epoch timestamps in seconds\"\n   112→// @param       items-per-page query    int               false \"Items per page (Default: 25)\"\n   113→// @param       page           query    int               false \"Page Number (Default: 1)\"\n   114→// @param       with-metadata  query    bool              false \"Include metadata (e.g. jobScript) in response\"\n   115→// @success     200            {object} api.GetJobsAPIResponse  \"Job array and page info\"\n   116→// @failure     400            {object} api.ErrorResponse       \"Bad Request\"\n   117→// @failure     401   \t\t   {object} api.ErrorResponse       \"Unauthorized\"\n   118→// @failure     403            {object} api.ErrorResponse       \"Forbidden\"\n   119→// @failure     500            {object} api.ErrorResponse       \"Internal Server Error\"\n   120→// @security    ApiKeyAuth\n   121→// @router      /api/jobs/ [get]\n   122→func (api *RestAPI) getJobs(rw http.ResponseWriter, r *http.Request) {\n   123→\twithMetadata := false\n   124→\tfilter := &model.JobFilter{}\n   125→\tpage := &model.PageRequest{ItemsPerPage: 25, Page: 1}\n   126→\torder := &model.OrderByInput{Field: \"startTime\", Type: \"col\", Order: model.SortDirectionEnumDesc}\n   127→\n   128→\tfor key, vals := range r.URL.Query() {\n   129→\t\tswitch key {\n   130→\t\tcase \"project\":\n   131→\t\t\tfilter.Project = &model.StringInput{Eq: &vals[0]}\n   132→\t\tcase \"state\":\n   133→\t\t\tfor _, s := range vals {\n   134→\t\t\t\tstate := schema.JobState(s)\n   135→\t\t\t\tif !state.Valid() {\n   136→\t\t\t\t\thandleError(fmt.Errorf(\"invalid query parameter value: state\"),\n   137→\t\t\t\t\t\thttp.StatusBadRequest, rw)\n   138→\t\t\t\t\treturn\n   139→\t\t\t\t}\n   140→\t\t\t\tfilter.State = append(filter.State, state)\n   141→\t\t\t}\n   142→\t\tcase \"cluster\":\n   143→\t\t\tfilter.Cluster = &model.StringInput{Eq: &vals[0]}\n   144→\t\tcase \"start-time\": // ?startTime=1753707480-1754053139\n   145→\t\t\tst := strings.Split(vals[0], \"-\")\n   146→\t\t\tif len(st) != 2 {\n   147→\t\t\t\thandleError(fmt.Errorf(\"invalid query parameter value: startTime\"),\n   148→\t\t\t\t\thttp.StatusBadRequest, rw)\n   149→\t\t\t\treturn\n   150→\t\t\t}\n   151→\t\t\tfrom, err := strconv.ParseInt(st[0], 10, 64)\n   152→\t\t\tif err != nil {\n   153→\t\t\t\thandleError(err, http.StatusBadRequest, rw)\n   154→\t\t\t\treturn\n   155→\t\t\t}\n   156→\t\t\tto, err := strconv.ParseInt(st[1], 10, 64)\n   157→\t\t\tif err != nil {\n   158→\t\t\t\thandleError(err, http.StatusBadRequest, rw)\n   159→\t\t\t\treturn\n   160→\t\t\t}\n   161→\t\t\tufrom, uto := time.Unix(from, 0), time.Unix(to, 0)\n   162→\t\t\tfilter.StartTime = &config.TimeRange{From: &ufrom, To: &uto}\n   163→\t\tcase \"page\":\n   164→\t\t\tx, err := strconv.Atoi(vals[0])\n   165→\t\t\tif err != nil {\n   166→\t\t\t\thandleError(err, http.StatusBadRequest, rw)\n   167→\t\t\t\treturn\n   168→\t\t\t}\n   169→\t\t\tpage.Page = x\n   170→\t\tcase \"items-per-page\":\n   171→\t\t\tx, err := strconv.Atoi(vals[0])\n   172→\t\t\tif err != nil {\n   173→\t\t\t\thandleError(err, http.StatusBadRequest, rw)\n   174→\t\t\t\treturn\n   175→\t\t\t}\n   176→\t\t\tpage.ItemsPerPage = x\n   177→\t\tcase \"with-metadata\":\n   178→\t\t\twithMetadata = true\n   179→\t\tdefault:\n   180→\t\t\thandleError(fmt.Errorf(\"invalid query parameter: %s\", key),\n   181→\t\t\t\thttp.StatusBadRequest, rw)\n   182→\t\t\treturn\n   183→\t\t}\n   184→\t}\n   185→\n   186→\tjobs, err := api.JobRepository.QueryJobs(r.Context(), []*model.JobFilter{filter}, page, order)\n   187→\tif err != nil {\n   188→\t\thandleError(err, http.StatusInternalServerError, rw)\n   189→\t\treturn\n   190→\t}\n   191→\n   192→\tresults := make([]*schema.Job, 0, len(jobs))\n   193→\tfor _, job := range jobs {\n   194→\t\tif withMetadata {\n   195→\t\t\tif _, err = api.JobRepository.FetchMetadata(job); err != nil {\n   196→\t\t\t\thandleError(err, http.StatusInternalServerError, rw)\n   197→\t\t\t\treturn\n   198→\t\t\t}\n   199→\t\t}\n   200→"}]},"uuid":"8fa28d9a-01e0-42a6-90c9-b57102ff1253","timestamp":"2026-03-16T10:18:51.830Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"06455334-fd48-4615-b71c-7833878dbe31","timestamp":"2026-03-16T10:18:52.270Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"06455334-fd48-4615-b71c-7833878dbe31","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:52.307Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_014RpU7fRmzbTvy6u5LUG6sy","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0138fSPJx1XBMMc57JEsMKjS","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","limit":300},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":32692,"cache_read_input_tokens":42461,"cache_creation":{"ephemeral_5m_input_tokens":32692,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6uZ2XXuQVqpSoyuCh","uuid":"09122b3a-f95b-4190-800f-1261e69713f0"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"034bec39-c50a-4c61-af67-9340a163e069","timestamp":"2026-03-16T10:18:52.307Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"034bec39-c50a-4c61-af67-9340a163e069","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0138fSPJx1XBMMc57JEsMKjS","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"database/sql\"\n    10→\t\"encoding/json\"\n    11→\t\"strings\"\n    12→\t\"sync\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n    21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n    23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    24→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n    25→)\n    26→\n    27→// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n    28→// It mirrors the functionality of the REST API but uses NATS messaging with\n    29→// InfluxDB line protocol as the message format.\n    30→//\n    31→// # Message Format\n    32→//\n    33→// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n    34→// with the following structure:\n    35→//\n    36→//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n    37→//\n    38→// # Job Events\n    39→//\n    40→// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n    41→//\n    42→//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n    43→//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n    44→//\n    45→// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n    46→//\n    47→// Example job start message:\n    48→//\n    49→//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n    50→//\n    51→// # Node State Events\n    52→//\n    53→// Node state updates use the \"nodestate\" measurement with cluster information:\n    54→//\n    55→//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n    56→//\n    57→// The JSON payload follows the UpdateNodeStatesRequest structure.\n    58→//\n    59→// Example node state message:\n    60→//\n    61→//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\n    62→type NatsAPI struct {\n    63→\tJobRepository *repository.JobRepository\n    64→\t// RepositoryMutex protects job creation operations from race conditions\n    65→\t// when checking for duplicate jobs during startJob calls.\n    66→\tRepositoryMutex sync.Mutex\n    67→\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n    68→\t// when the database is under contention.\n    69→\tjobSem chan struct{}\n    70→\t// nodeSem limits concurrent NATS node state processing.\n    71→\tnodeSem chan struct{}\n    72→}\n    73→\n    74→// NewNatsAPI creates a new NatsAPI instance with default dependencies.\n    75→func NewNatsAPI() *NatsAPI {\n    76→\treturn &NatsAPI{\n    77→\t\tJobRepository: repository.GetJobRepository(),\n    78→\t\tjobSem:        make(chan struct{}, 8),\n    79→\t\tnodeSem:       make(chan struct{}, 2),\n    80→\t}\n    81→}\n    82→\n    83→// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n    84→// Returns an error if the NATS client is not available or subscription fails.\n    85→func (api *NatsAPI) StartSubscriptions() error {\n    86→\tclient := nats.GetClient()\n    87→\tif client == nil {\n    88→\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n    89→\t\treturn nil\n    90→\t}\n    91→\n    92→\tif config.Keys.APISubjects != nil {\n    93→\n    94→\t\ts := config.Keys.APISubjects\n    95→\n    96→\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n    97→\t\t\treturn err\n    98→\t\t}\n    99→\n   100→\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n   101→\t\t\treturn err\n   102→\t\t}\n   103→\n   104→\t\tcclog.Info(\"NATS API subscriptions started\")\n   105→\t}\n   106→\treturn nil\n   107→}\n   108→\n   109→// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n   110→// Validates that required tags and fields are present before processing.\n   111→func (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n   112→\tfunction, ok := msg.GetTag(\"function\")\n   113→\tif !ok {\n   114→\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n   115→\t\treturn\n   116→\t}\n   117→\n   118→\tswitch function {\n   119→\tcase \"start_job\":\n   120→\t\tv, ok := msg.GetEventValue()\n   121→\t\tif !ok {\n   122→\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n   123→\t\t\treturn\n   124→\t\t}\n   125→\t\tapi.handleStartJob(v)\n   126→\n   127→\tcase \"stop_job\":\n   128→\t\tv, ok := msg.GetEventValue()\n   129→\t\tif !ok {\n   130→\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n   131→\t\t\treturn\n   132→\t\t}\n   133→\t\tapi.handleStopJob(v)\n   134→\n   135→\tdefault:\n   136→\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n   137→\t}\n   138→}\n   139→\n   140→// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n   141→// The message must be in line protocol format with measurement=\"job\" and include:\n   142→//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n   143→//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n   144→//\n   145→// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\n   146→func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n   147→\tapi.jobSem <- struct{}{}\n   148→\tdefer func() { <-api.jobSem }()\n   149→\n   150→\tif len(data) == 0 {\n   151→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n   152→\t\treturn\n   153→\t}\n   154→\n   155→\td := influx.NewDecoderWithBytes(data)\n   156→\n   157→\tfor d.Next() {\n   158→\t\tm, err := receivers.DecodeInfluxMessage(d)\n   159→\t\tif err != nil {\n   160→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n   161→\t\t\treturn\n   162→\t\t}\n   163→\n   164→\t\tif !m.IsEvent() {\n   165→\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n   166→\t\t\tcontinue\n   167→\t\t}\n   168→\n   169→\t\tif m.Name() == \"job\" {\n   170→\t\t\tapi.processJobEvent(m)\n   171→\t\t} else {\n   172→\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n   173→\t\t}\n   174→\t}\n   175→}\n   176→\n   177→// handleStartJob processes job start messages received via NATS.\n   178→// The payload parameter contains JSON following the schema.Job structure.\n   179→// Jobs are validated, checked for duplicates, and inserted into the database.\n   180→func (api *NatsAPI) handleStartJob(payload string) {\n   181→\tif payload == \"\" {\n   182→\t\tcclog.Error(\"NATS start job: payload is empty\")\n   183→\t\treturn\n   184→\t}\n   185→\treq := schema.Job{\n   186→\t\tShared:           \"none\",\n   187→\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n   188→\t}\n   189→\n   190→\tdec := json.NewDecoder(strings.NewReader(payload))\n   191→\tdec.DisallowUnknownFields()\n   192→\tif err := dec.Decode(&req); err != nil {\n   193→\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n   194→\t\treturn\n   195→\t}\n   196→\n   197→\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n   198→\treq.State = schema.JobStateRunning\n   199→\n   200→\tif err := importer.SanityChecks(&req); err != nil {\n   201→\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n   202→\t\treturn\n   203→\t}\n   204→\n   205→\tvar unlockOnce sync.Once\n   206→\tapi.RepositoryMutex.Lock()\n   207→\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n   208→\n   209→\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n   210→\tif err != nil && err != sql.ErrNoRows {\n   211→\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n   212→\t\treturn\n   213→\t}\n   214→\tif err == nil {\n   215→\t\tfor _, job := range jobs {\n   216→\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n   217→\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n   218→\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n   219→\t\t\t\treturn\n   220→\t\t\t}\n   221→\t\t}\n   222→\t}\n   223→\n   224→\t// When tags are present, insert directly into the job table so that the\n   225→\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n   226→\tvar id int64\n   227→\tif len(req.Tags) > 0 {\n   228→\t\tid, err = api.JobRepository.StartDirect(&req)\n   229→\t} else {\n   230→\t\tid, err = api.JobRepository.Start(&req)\n   231→\t}\n   232→\tif err != nil {\n   233→\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n   234→\t\treturn\n   235→\t}\n   236→\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n   237→\n   238→\tfor _, tag := range req.Tags {\n   239→\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n   240→\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n   241→\t\t\treturn\n   242→\t\t}\n   243→\t}\n   244→\n   245→\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n   246→\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n   247→}\n   248→\n   249→// handleStopJob processes job stop messages received via NATS.\n   250→// The payload parameter contains JSON following the StopJobAPIRequest structure.\n   251→// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\n   252→func (api *NatsAPI) handleStopJob(payload string) {\n   253→\tif payload == \"\" {\n   254→\t\tcclog.Error(\"NATS stop job: payload is empty\")\n   255→\t\treturn\n   256→\t}\n   257→\tvar req StopJobAPIRequest\n   258→\n   259→\tdec := json.NewDecoder(strings.NewReader(payload))\n   260→\tdec.DisallowUnknownFields()\n   261→\tif err := dec.Decode(&req); err != nil {\n   262→\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n   263→\t\treturn\n   264→\t}\n   265→\n   266→\tif req.JobID == nil {\n   267→\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n   268→\t\treturn\n   269→\t}\n   270→\n   271→\tisCached := false\n   272→\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n   273→\tif err != nil {\n   274→\t\t// Not in cache, try main job table\n   275→\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n   276→\t\tif err != nil {\n   277→\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n   278→\t\t\treturn\n   279→\t\t}\n   280→\t} else {\n   281→\t\tisCached = true\n   282→\t}\n   283→\n   284→\tif job.State != schema.JobStateRunning {\n   285→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n   286→\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n   287→\t\treturn\n   288→\t}\n   289→\n   290→\tif job.StartTime > req.StopTime {\n   291→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n   292→\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n   293→\t\treturn\n   294→\t}\n   295→\n   296→\tif req.State != \"\" && !req.State.Valid() {\n   297→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n   298→\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n   299→\t\treturn\n   300→\t} else if req.State == \"\" {"}]},"uuid":"68f92ccf-dcd2-44c7-ae0c-9cc92fa16a31","timestamp":"2026-03-16T10:18:52.312Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"e7c52f97-a672-42e1-b458-852a45a55359","timestamp":"2026-03-16T10:18:52.484Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"e7c52f97-a672-42e1-b458-852a45a55359","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:52.499Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_014RpU7fRmzbTvy6u5LUG6sy","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FrMUW3tZPqHat9qa6eqbpH","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go","limit":200},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":32692,"cache_read_input_tokens":42461,"cache_creation":{"ephemeral_5m_input_tokens":32692,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6uZ2XXuQVqpSoyuCh","uuid":"6666959d-9375-46e4-adf2-6f6b7fa0f062"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"c970c9a1-3efa-4cc4-ab9b-477603861792","timestamp":"2026-03-16T10:18:52.499Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"c970c9a1-3efa-4cc4-ab9b-477603861792","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:52.611Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01FswytQvCqoFYSU3AmH6q5f","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Hv1yuvYBP6YWQkJoztcfGA","name":"Glob","input":{"pattern":"**/internal/repository/*.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":3935,"cache_read_input_tokens":13439,"cache_creation":{"ephemeral_5m_input_tokens":3935,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b72dB5f1EUEvnwKueu","uuid":"3c730341-fccc-48d2-90e1-5930af07d7e4"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"de9b01d3-2e31-411a-938e-0c99c9204886","timestamp":"2026-03-16T10:18:52.612Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"de9b01d3-2e31-411a-938e-0c99c9204886","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:52.697Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_018BvSFRrKwvkCJRXsXqyqUE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GVe7iDsxjAWTtf2dJJLYMn","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/commitJobService.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":9364,"cache_read_input_tokens":19050,"cache_creation":{"ephemeral_5m_input_tokens":9364,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6ztkQgkP8T8PDj2ki","uuid":"8b56c79f-de9a-4d8a-a5d0-0c28725410d9"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"16f0a124-a349-43c9-b827-a995fb5d376e","timestamp":"2026-03-16T10:18:52.697Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"16f0a124-a349-43c9-b827-a995fb5d376e","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GVe7iDsxjAWTtf2dJJLYMn","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"time\"\n    10→\n    11→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    13→\t\"github.com/go-co-op/gocron/v2\"\n    14→)\n    15→\n    16→func RegisterCommitJobService() {\n    17→\tvar frequency string\n    18→\tif Keys.CommitJobWorker != \"\" {\n    19→\t\tfrequency = Keys.CommitJobWorker\n    20→\t} else {\n    21→\t\tfrequency = \"2m\"\n    22→\t}\n    23→\n    24→\td, err := parseDuration(frequency)\n    25→\tif err != nil {\n    26→\t\tcclog.Errorf(\"RegisterCommitJobService: %v\", err)\n    27→\t\treturn\n    28→\t}\n    29→\n    30→\tcclog.Infof(\"register commitJob service with %s interval\", frequency)\n    31→\n    32→\ts.NewJob(gocron.DurationJob(d),\n    33→\t\tgocron.NewTask(\n    34→\t\t\tfunc() {\n    35→\t\t\t\tstart := time.Now()\n    36→\t\t\t\tcclog.Debugf(\"jobcache sync started at %s\\n\", start.Format(time.RFC3339))\n    37→\t\t\t\tjobs, _ := jobRepo.SyncJobs()\n    38→\t\t\t\trepository.CallJobStartHooks(jobs)\n    39→\t\t\t\tcclog.Debugf(\"jobcache sync and job callbacks are done and took %s\\n\", time.Since(start))\n    40→\t\t\t}))\n    41→}\n    42→"}]},"uuid":"ad4207db-30ea-473c-9763-0b212db62b2f","timestamp":"2026-03-16T10:18:52.699Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"f7507017-4225-4c02-979d-0ff1692fe91c","timestamp":"2026-03-16T10:18:52.699Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"f7507017-4225-4c02-979d-0ff1692fe91c","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FrMUW3tZPqHat9qa6eqbpH","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"fmt\"\n    10→\t\"maps\"\n    11→\t\"net/http\"\n    12→\t\"strings\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→)\n    22→\n    23→type UpdateNodeStatesRequest struct {\n    24→\tNodes   []schema.NodePayload `json:\"nodes\"`\n    25→\tCluster string               `json:\"cluster\" example:\"fritz\"`\n    26→}\n    27→\n    28→// metricListToNames converts a map of metric configurations to a list of metric names\n    29→func metricListToNames(metricList map[string]*schema.Metric) []string {\n    30→\tnames := make([]string, 0, len(metricList))\n    31→\tfor name := range metricList {\n    32→\t\tnames = append(names, name)\n    33→\t}\n    34→\treturn names\n    35→}\n    36→\n    37→// this routine assumes that only one of them exists per node\n    38→func determineState(states []string) schema.SchedulerState {\n    39→\tfor _, state := range states {\n    40→\t\tswitch strings.ToLower(state) {\n    41→\t\tcase \"allocated\":\n    42→\t\t\treturn schema.NodeStateAllocated\n    43→\t\tcase \"reserved\":\n    44→\t\t\treturn schema.NodeStateReserved\n    45→\t\tcase \"idle\":\n    46→\t\t\treturn schema.NodeStateIdle\n    47→\t\tcase \"down\":\n    48→\t\t\treturn schema.NodeStateDown\n    49→\t\tcase \"mixed\":\n    50→\t\t\treturn schema.NodeStateMixed\n    51→\t\t}\n    52→\t}\n    53→\n    54→\treturn schema.NodeStateUnknown\n    55→}\n    56→\n    57→// updateNodeStates godoc\n    58→// @summary     Deliver updated Slurm node states\n    59→// @tags Nodestates\n    60→// @description Returns a JSON-encoded list of users.\n    61→// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n    62→// @produce     json\n    63→// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n    64→// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n    65→// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n    66→// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n    67→// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n    68→// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n    69→// @security    ApiKeyAuth\n    70→// @router      /api/nodestats/ [post]\n    71→func (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n    72→\t// Parse request body\n    73→\treq := UpdateNodeStatesRequest{}\n    74→\tif err := decode(r.Body, &req); err != nil {\n    75→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n    76→\t\t\thttp.StatusBadRequest, rw)\n    77→\t\treturn\n    78→\t}\n    79→\trequestReceived := time.Now().Unix()\n    80→\trepo := repository.GetNodeRepository()\n    81→\n    82→\tm := make(map[string][]string)\n    83→\tmetricNames := make(map[string][]string)\n    84→\thealthResults := make(map[string]metricstore.HealthCheckResult)\n    85→\n    86→\tstartMs := time.Now()\n    87→\n    88→\t// Step 1: Build nodeList and metricList per subcluster\n    89→\tfor _, node := range req.Nodes {\n    90→\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n    91→\t\t\tm[sc] = append(m[sc], node.Hostname)\n    92→\t\t}\n    93→\t}\n    94→\n    95→\tfor sc := range m {\n    96→\t\tif sc != \"\" {\n    97→\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n    98→\t\t\tmetricNames[sc] = metricListToNames(metricList)\n    99→\t\t}\n   100→\t}\n   101→\n   102→\t// Step 2: Determine which metric store to query and perform health check\n   103→\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n   104→\tif err != nil {\n   105→\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n   106→\t} else {\n   107→\t\tfor sc, nl := range m {\n   108→\t\t\tif sc != \"\" {\n   109→\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n   110→\t\t\t\t\tmaps.Copy(healthResults, results)\n   111→\t\t\t\t}\n   112→\t\t\t}\n   113→\t\t}\n   114→\t}\n   115→\n   116→\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n   117→\tstartDB := time.Now()\n   118→\n   119→\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n   120→\tfor _, node := range req.Nodes {\n   121→\t\tstate := determineState(node.States)\n   122→\t\thealthState := schema.MonitoringStateFailed\n   123→\t\tvar healthMetrics string\n   124→\t\tif result, ok := healthResults[node.Hostname]; ok {\n   125→\t\t\thealthState = result.State\n   126→\t\t\thealthMetrics = result.HealthMetrics\n   127→\t\t}\n   128→\t\tnodeState := schema.NodeStateDB{\n   129→\t\t\tTimeStamp:       requestReceived,\n   130→\t\t\tNodeState:       state,\n   131→\t\t\tCpusAllocated:   node.CpusAllocated,\n   132→\t\t\tMemoryAllocated: node.MemoryAllocated,\n   133→\t\t\tGpusAllocated:   node.GpusAllocated,\n   134→\t\t\tHealthState:     healthState,\n   135→\t\t\tHealthMetrics:   healthMetrics,\n   136→\t\t\tJobsRunning:     node.JobsRunning,\n   137→\t\t}\n   138→\t\tupdates = append(updates, repository.NodeStateUpdate{\n   139→\t\t\tHostname:  node.Hostname,\n   140→\t\t\tCluster:   req.Cluster,\n   141→\t\t\tNodeState: &nodeState,\n   142→\t\t})\n   143→\t}\n   144→\n   145→\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n   146→\t\tcclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n   147→\t}\n   148→\n   149→\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n   150→}\n   151→"}]},"uuid":"9c0cfab7-e9bd-4969-b758-0f23af3316fb","timestamp":"2026-03-16T10:18:52.504Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"38f8eff9-fb41-4be7-899f-5b163e75c8a1","timestamp":"2026-03-16T10:18:52.723Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"38f8eff9-fb41-4be7-899f-5b163e75c8a1","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:52.749Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_014RpU7fRmzbTvy6u5LUG6sy","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JosVmFqzYDA93aNdHQs2th","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/user.go","limit":200},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":32692,"cache_read_input_tokens":42461,"cache_creation":{"ephemeral_5m_input_tokens":32692,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6uZ2XXuQVqpSoyuCh","uuid":"d8545824-1bd7-405d-96bf-deb7db5c79cb"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"16133c4f-e6f2-4137-8f84-82593c680f07","timestamp":"2026-03-16T10:18:52.749Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"16133c4f-e6f2-4137-8f84-82593c680f07","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JosVmFqzYDA93aNdHQs2th","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"encoding/json\"\n    10→\t\"fmt\"\n    11→\t\"net/http\"\n    12→\n    13→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    15→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    16→\t\"github.com/go-chi/chi/v5\"\n    17→)\n    18→\n    19→type APIReturnedUser struct {\n    20→\tUsername string   `json:\"username\"`\n    21→\tName     string   `json:\"name\"`\n    22→\tRoles    []string `json:\"roles\"`\n    23→\tEmail    string   `json:\"email\"`\n    24→\tProjects []string `json:\"projects\"`\n    25→}\n    26→\n    27→// getUsers godoc\n    28→// @summary     Returns a list of users\n    29→// @tags User\n    30→// @description Returns a JSON-encoded list of users.\n    31→// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n    32→// @produce     json\n    33→// @param       not-just-user query bool true \"If returned list should contain all users or only users with additional special roles\"\n    34→// @success     200     {array} api.APIReturnedUser \"List of users returned successfully\"\n    35→// @failure     400     {string} string             \"Bad Request\"\n    36→// @failure     401     {string} string             \"Unauthorized\"\n    37→// @failure     403     {string} string             \"Forbidden\"\n    38→// @failure     500     {string} string             \"Internal Server Error\"\n    39→// @security    ApiKeyAuth\n    40→// @router      /api/users/ [get]\n    41→func (api *RestAPI) getUsers(rw http.ResponseWriter, r *http.Request) {\n    42→\t// SecuredCheck() only worked with TokenAuth: Removed\n    43→\n    44→\tif user := repository.GetUserFromContext(r.Context()); !user.HasRole(schema.RoleAdmin) {\n    45→\t\thandleError(fmt.Errorf(\"only admins are allowed to fetch a list of users\"), http.StatusForbidden, rw)\n    46→\t\treturn\n    47→\t}\n    48→\n    49→\tusers, err := repository.GetUserRepository().ListUsers(r.URL.Query().Get(\"not-just-user\") == \"true\")\n    50→\tif err != nil {\n    51→\t\thandleError(fmt.Errorf(\"listing users failed: %w\", err), http.StatusInternalServerError, rw)\n    52→\t\treturn\n    53→\t}\n    54→\n    55→\trw.Header().Set(\"Content-Type\", \"application/json\")\n    56→\tif err := json.NewEncoder(rw).Encode(users); err != nil {\n    57→\t\tcclog.Errorf(\"Failed to encode users response: %v\", err)\n    58→\t}\n    59→}\n    60→\n    61→// updateUser godoc\n    62→// @summary     Update user roles and projects\n    63→// @tags User\n    64→// @description Allows admins to add/remove roles and projects for a user\n    65→// @produce     plain\n    66→// @param       id          path   string  true  \"Username\"\n    67→// @param       add-role    formData string false \"Role to add\"\n    68→// @param       remove-role formData string false \"Role to remove\"\n    69→// @param       add-project formData string false \"Project to add\"\n    70→// @param       remove-project formData string false \"Project to remove\"\n    71→// @success     200     {string} string \"Success message\"\n    72→// @failure     403     {object} api.ErrorResponse \"Forbidden\"\n    73→// @failure     422     {object} api.ErrorResponse \"Unprocessable Entity\"\n    74→// @security    ApiKeyAuth\n    75→// @router      /api/user/{id} [post]\n    76→func (api *RestAPI) updateUser(rw http.ResponseWriter, r *http.Request) {\n    77→\t// SecuredCheck() only worked with TokenAuth: Removed\n    78→\n    79→\tif user := repository.GetUserFromContext(r.Context()); !user.HasRole(schema.RoleAdmin) {\n    80→\t\thandleError(fmt.Errorf(\"only admins are allowed to update a user\"), http.StatusForbidden, rw)\n    81→\t\treturn\n    82→\t}\n    83→\n    84→\t// Get Values\n    85→\tnewrole := r.FormValue(\"add-role\")\n    86→\tdelrole := r.FormValue(\"remove-role\")\n    87→\tnewproj := r.FormValue(\"add-project\")\n    88→\tdelproj := r.FormValue(\"remove-project\")\n    89→\n    90→\trw.Header().Set(\"Content-Type\", \"application/json\")\n    91→\n    92→\t// Handle role updates\n    93→\tif newrole != \"\" {\n    94→\t\tif err := repository.GetUserRepository().AddRole(r.Context(), chi.URLParam(r, \"id\"), newrole); err != nil {\n    95→\t\t\thandleError(fmt.Errorf(\"adding role failed: %w\", err), http.StatusUnprocessableEntity, rw)\n    96→\t\t\treturn\n    97→\t\t}\n    98→\t\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{Message: \"Add Role Success\"}); err != nil {\n    99→\t\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n   100→\t\t}\n   101→\t} else if delrole != \"\" {\n   102→\t\tif err := repository.GetUserRepository().RemoveRole(r.Context(), chi.URLParam(r, \"id\"), delrole); err != nil {\n   103→\t\t\thandleError(fmt.Errorf(\"removing role failed: %w\", err), http.StatusUnprocessableEntity, rw)\n   104→\t\t\treturn\n   105→\t\t}\n   106→\t\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{Message: \"Remove Role Success\"}); err != nil {\n   107→\t\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n   108→\t\t}\n   109→\t} else if newproj != \"\" {\n   110→\t\tif err := repository.GetUserRepository().AddProject(r.Context(), chi.URLParam(r, \"id\"), newproj); err != nil {\n   111→\t\t\thandleError(fmt.Errorf(\"adding project failed: %w\", err), http.StatusUnprocessableEntity, rw)\n   112→\t\t\treturn\n   113→\t\t}\n   114→\t\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{Message: \"Add Project Success\"}); err != nil {\n   115→\t\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n   116→\t\t}\n   117→\t} else if delproj != \"\" {\n   118→\t\tif err := repository.GetUserRepository().RemoveProject(r.Context(), chi.URLParam(r, \"id\"), delproj); err != nil {\n   119→\t\t\thandleError(fmt.Errorf(\"removing project failed: %w\", err), http.StatusUnprocessableEntity, rw)\n   120→\t\t\treturn\n   121→\t\t}\n   122→\t\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{Message: \"Remove Project Success\"}); err != nil {\n   123→\t\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n   124→\t\t}\n   125→\t} else {\n   126→\t\thandleError(fmt.Errorf(\"no operation specified: must provide add-role, remove-role, add-project, or remove-project\"), http.StatusBadRequest, rw)\n   127→\t}\n   128→}\n   129→\n   130→// createUser godoc\n   131→// @summary     Create a new user\n   132→// @tags User\n   133→// @description Creates a new user with specified credentials and role\n   134→// @produce     plain\n   135→// @param       username formData string true  \"Username\"\n   136→// @param       password formData string false \"Password (not required for API users)\"\n   137→// @param       role     formData string true  \"User role\"\n   138→// @param       name     formData string false \"Full name\"\n   139→// @param       email    formData string false \"Email address\"\n   140→// @param       project  formData string false \"Project (required for managers)\"\n   141→// @success     200     {string} string \"Success message\"\n   142→// @failure     400     {object} api.ErrorResponse \"Bad Request\"\n   143→// @failure     403     {object} api.ErrorResponse \"Forbidden\"\n   144→// @failure     422     {object} api.ErrorResponse \"Unprocessable Entity\"\n   145→// @security    ApiKeyAuth\n   146→// @router      /api/users/ [post]\n   147→func (api *RestAPI) createUser(rw http.ResponseWriter, r *http.Request) {\n   148→\t// SecuredCheck() only worked with TokenAuth: Removed\n   149→\n   150→\trw.Header().Set(\"Content-Type\", \"text/plain\")\n   151→\tme := repository.GetUserFromContext(r.Context())\n   152→\tif !me.HasRole(schema.RoleAdmin) {\n   153→\t\thandleError(fmt.Errorf(\"only admins are allowed to create new users\"), http.StatusForbidden, rw)\n   154→\t\treturn\n   155→\t}\n   156→\n   157→\tusername, password, role, name, email, project := r.FormValue(\"username\"),\n   158→\t\tr.FormValue(\"password\"), r.FormValue(\"role\"), r.FormValue(\"name\"),\n   159→\t\tr.FormValue(\"email\"), r.FormValue(\"project\")\n   160→\n   161→\t// Validate username length\n   162→\tif len(username) == 0 || len(username) > 100 {\n   163→\t\thandleError(fmt.Errorf(\"username must be between 1 and 100 characters\"), http.StatusBadRequest, rw)\n   164→\t\treturn\n   165→\t}\n   166→\n   167→\tif len(password) == 0 && role != schema.GetRoleString(schema.RoleAPI) {\n   168→\t\thandleError(fmt.Errorf(\"only API users are allowed to have a blank password (login will be impossible)\"), http.StatusBadRequest, rw)\n   169→\t\treturn\n   170→\t}\n   171→\n   172→\tif len(project) != 0 && role != schema.GetRoleString(schema.RoleManager) {\n   173→\t\thandleError(fmt.Errorf(\"only managers require a project (can be changed later)\"), http.StatusBadRequest, rw)\n   174→\t\treturn\n   175→\t} else if len(project) == 0 && role == schema.GetRoleString(schema.RoleManager) {\n   176→\t\thandleError(fmt.Errorf(\"managers require a project to manage (can be changed later)\"), http.StatusBadRequest, rw)\n   177→\t\treturn\n   178→\t}\n   179→\n   180→\tif err := repository.GetUserRepository().AddUser(&schema.User{\n   181→\t\tUsername: username,\n   182→\t\tName:     name,\n   183→\t\tPassword: password,\n   184→\t\tEmail:    email,\n   185→\t\tProjects: []string{project},\n   186→\t\tRoles:    []string{role},\n   187→\t}); err != nil {\n   188→\t\thandleError(fmt.Errorf(\"adding user failed: %w\", err), http.StatusUnprocessableEntity, rw)\n   189→\t\treturn\n   190→\t}\n   191→\n   192→\tfmt.Fprintf(rw, \"User %v successfully created!\\n\", username)\n   193→}\n   194→\n   195→// deleteUser godoc\n   196→// @summary     Delete a user\n   197→// @tags User\n   198→// @description Deletes a user from the system\n   199→// @produce     plain\n   200→// @param       username formData string true \"Username to delete\""}]},"uuid":"cfb5b7b8-055b-4956-adeb-e63317b9b0c9","timestamp":"2026-03-16T10:18:52.751Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"7d4200d1-0800-4d5c-be33-f38c9788a1c2","timestamp":"2026-03-16T10:18:52.762Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"c19e9244-b2e7-4f27-b3b5-14dc88e3b938","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QLb9mfXyhKSD5PdVWp1vgm","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"math\"\n    11→\t\"time\"\n    12→\n    13→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    14→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    16→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    17→\tsq \"github.com/Masterminds/squirrel\"\n    18→\t\"github.com/go-co-op/gocron/v2\"\n    19→)\n    20→\n    21→func RegisterFootprintWorker() {\n    22→\tvar frequency string\n    23→\tif Keys.FootprintWorker != \"\" {\n    24→\t\tfrequency = Keys.FootprintWorker\n    25→\t} else {\n    26→\t\tfrequency = \"10m\"\n    27→\t}\n    28→\n    29→\td, err := parseDuration(frequency)\n    30→\tif err != nil {\n    31→\t\tcclog.Errorf(\"RegisterFootprintWorker: %v\", err)\n    32→\t\treturn\n    33→\t}\n    34→\n    35→\tcclog.Infof(\"Register Footprint Update service with %s interval\", frequency)\n    36→\n    37→\ts.NewJob(gocron.DurationJob(d),\n    38→\t\tgocron.NewTask(\n    39→\t\t\tfunc() {\n    40→\t\t\t\ts := time.Now()\n    41→\t\t\t\tc := 0\n    42→\t\t\t\tce := 0\n    43→\t\t\t\tcl := 0\n    44→\t\t\t\tcclog.Infof(\"Update Footprints started at %s\", s.Format(time.RFC3339))\n    45→\n    46→\t\t\t\tfor _, cluster := range archive.Clusters {\n    47→\t\t\t\t\tsCluster := time.Now()\n    48→\t\t\t\t\tjobs, err := jobRepo.FindRunningJobs(cluster.Name)\n    49→\t\t\t\t\tif err != nil {\n    50→\t\t\t\t\t\tcontinue\n    51→\t\t\t\t\t}\n    52→\t\t\t\t\t// NOTE: Additional SubCluster Loop Could Allow For Limited List Of Footprint-Metrics Only.\n    53→\t\t\t\t\t//       - Chunk-Size Would Then Be 'SubCluster' (Running Jobs, Transactions) as Lists Can Change Within SCs\n    54→\t\t\t\t\t//       - Would Require Review of 'updateFootprint' Usage (Logic Could Possibly Be Included Here Completely)\n    55→\t\t\t\t\tallMetrics := make([]string, 0)\n    56→\t\t\t\t\tmetricConfigs := archive.GetCluster(cluster.Name).MetricConfig\n    57→\t\t\t\t\tfor _, mc := range metricConfigs {\n    58→\t\t\t\t\t\tallMetrics = append(allMetrics, mc.Name)\n    59→\t\t\t\t\t}\n    60→\n    61→\t\t\t\t\tpendingStatements := []sq.UpdateBuilder{}\n    62→\n    63→\t\t\t\t\tfor _, job := range jobs {\n    64→\t\t\t\t\t\tcclog.Debugf(\"Prepare job %d\", job.JobID)\n    65→\t\t\t\t\t\tcl++\n    66→\n    67→\t\t\t\t\t\tsJob := time.Now()\n    68→\n    69→\t\t\t\t\t\tms, err := metricdispatch.GetMetricDataRepo(job.Cluster, job.SubCluster)\n    70→\t\t\t\t\t\tif err != nil {\n    71→\t\t\t\t\t\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n    72→\t\t\t\t\t\t\t\tjob.Cluster, job.SubCluster, err.Error())\n    73→\t\t\t\t\t\t\tcontinue\n    74→\t\t\t\t\t\t}\n    75→\n    76→\t\t\t\t\t\tjobStats, err := ms.LoadStats(job, allMetrics, context.Background())\n    77→\t\t\t\t\t\tif err != nil {\n    78→\t\t\t\t\t\t\tcclog.Errorf(\"error wile loading job data stats for footprint update: %v\", err)\n    79→\t\t\t\t\t\t\tce++\n    80→\t\t\t\t\t\t\tcontinue\n    81→\t\t\t\t\t\t}\n    82→\n    83→\t\t\t\t\t\tjob.Statistics = make(map[string]schema.JobStatistics)\n    84→\n    85→\t\t\t\t\t\tfor _, metric := range allMetrics {\n    86→\t\t\t\t\t\t\tavg, min, max := 0.0, 0.0, 0.0\n    87→\t\t\t\t\t\t\tdata, ok := jobStats[metric] // JobStats[Metric1:[Hostname1:[Stats], Hostname2:[Stats], ...], Metric2[...] ...]\n    88→\t\t\t\t\t\t\tif ok {\n    89→\t\t\t\t\t\t\t\tfor _, res := range job.Resources {\n    90→\t\t\t\t\t\t\t\t\thostStats, ok := data[res.Hostname]\n    91→\t\t\t\t\t\t\t\t\tif ok {\n    92→\t\t\t\t\t\t\t\t\t\tavg += hostStats.Avg\n    93→\t\t\t\t\t\t\t\t\t\tmin = math.Min(min, hostStats.Min)\n    94→\t\t\t\t\t\t\t\t\t\tmax = math.Max(max, hostStats.Max)\n    95→\t\t\t\t\t\t\t\t\t}\n    96→\n    97→\t\t\t\t\t\t\t\t}\n    98→\t\t\t\t\t\t\t}\n    99→\n   100→\t\t\t\t\t\t\t// Add values rounded to 2 digits: repo.LoadStats may return unrounded\n   101→\t\t\t\t\t\t\tjob.Statistics[metric] = schema.JobStatistics{\n   102→\t\t\t\t\t\t\t\tUnit: schema.Unit{\n   103→\t\t\t\t\t\t\t\t\tPrefix: archive.GetMetricConfig(job.Cluster, metric).Unit.Prefix,\n   104→\t\t\t\t\t\t\t\t\tBase:   archive.GetMetricConfig(job.Cluster, metric).Unit.Base,\n   105→\t\t\t\t\t\t\t\t},\n   106→\t\t\t\t\t\t\t\tAvg: (math.Round((avg/float64(job.NumNodes))*100) / 100),\n   107→\t\t\t\t\t\t\t\tMin: (math.Round(min*100) / 100),\n   108→\t\t\t\t\t\t\t\tMax: (math.Round(max*100) / 100),\n   109→\t\t\t\t\t\t\t}\n   110→\t\t\t\t\t\t}\n   111→\n   112→\t\t\t\t\t\t// Build Statement per Job, Add to Pending Array\n   113→\t\t\t\t\t\tstmt := sq.Update(\"job\")\n   114→\t\t\t\t\t\tstmt, err = jobRepo.UpdateFootprint(stmt, job)\n   115→\t\t\t\t\t\tif err != nil {\n   116→\t\t\t\t\t\t\tcclog.Errorf(\"update job (dbid: %d) statement build failed at footprint step: %s\", *job.ID, err.Error())\n   117→\t\t\t\t\t\t\tce++\n   118→\t\t\t\t\t\t\tcontinue\n   119→\t\t\t\t\t\t}\n   120→\t\t\t\t\t\tstmt = stmt.Where(\"job.id = ?\", job.ID)\n   121→\n   122→\t\t\t\t\t\tpendingStatements = append(pendingStatements, stmt)\n   123→\t\t\t\t\t\tcclog.Debugf(\"Job %d took %s\", job.JobID, time.Since(sJob))\n   124→\t\t\t\t\t}\n   125→\n   126→\t\t\t\t\tt, err := jobRepo.TransactionInit()\n   127→\t\t\t\t\tif err != nil {\n   128→\t\t\t\t\t\tcclog.Errorf(\"failed TransactionInit %v\", err)\n   129→\t\t\t\t\t\tcclog.Errorf(\"skipped %d transactions for cluster %s\", len(pendingStatements), cluster.Name)\n   130→\t\t\t\t\t\tce += len(pendingStatements)\n   131→\t\t\t\t\t} else {\n   132→\t\t\t\t\t\tfor _, ps := range pendingStatements {\n   133→\t\t\t\t\t\t\tquery, args, err := ps.ToSql()\n   134→\t\t\t\t\t\t\tif err != nil {\n   135→\t\t\t\t\t\t\t\tcclog.Errorf(\"failed in ToSQL conversion: %v\", err)\n   136→\t\t\t\t\t\t\t\tce++\n   137→\t\t\t\t\t\t\t} else {\n   138→\t\t\t\t\t\t\t\t// args...: Footprint-JSON, Energyfootprint-JSON, TotalEnergy, JobID\n   139→\t\t\t\t\t\t\t\tjobRepo.TransactionAdd(t, query, args...)\n   140→\t\t\t\t\t\t\t\tc++\n   141→\t\t\t\t\t\t\t}\n   142→\t\t\t\t\t\t}\n   143→\t\t\t\t\t\tjobRepo.TransactionEnd(t)\n   144→\t\t\t\t\t}\n   145→\t\t\t\t\tcclog.Debugf(\"Finish Cluster %s, took %s\\n\", cluster.Name, time.Since(sCluster))\n   146→\t\t\t\t}\n   147→\t\t\t\tcclog.Infof(\"Updating %d (of %d; Skipped %d) Footprints is done and took %s\", c, cl, ce, time.Since(s))\n   148→\t\t\t}))\n   149→}\n   150→"}]},"uuid":"456413bc-a565-41c3-8e87-0176895a1829","timestamp":"2026-03-16T10:18:53.748Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"62e873a3-baee-4dfc-bd4b-7561978a26db","timestamp":"2026-03-16T10:18:53.749Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"64a11e98-8055-4b1b-96dc-12e53e891a63","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AgTvRhCb8gogxUyXufTPVG","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"runtime\"\n    10→\n    11→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    13→\t\"github.com/go-co-op/gocron/v2\"\n    14→)\n    15→\n    16→func RegisterStopJobsExceedTime() {\n    17→\tcclog.Info(\"Register undead jobs service\")\n    18→\n    19→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(3, 0, 0))),\n    20→\t\tgocron.NewTask(\n    21→\t\t\tfunc() {\n    22→\t\t\t\terr := jobRepo.StopJobsExceedingWalltimeBy(config.Keys.StopJobsExceedingWalltime)\n    23→\t\t\t\tif err != nil {\n    24→\t\t\t\t\tcclog.Warnf(\"Error while looking for jobs exceeding their walltime: %s\", err.Error())\n    25→\t\t\t\t}\n    26→\t\t\t\truntime.GC()\n    27→\t\t\t}))\n    28→}\n    29→"}]},"uuid":"03034ea9-4ee9-4f15-8b41-a1bc34ca5277","timestamp":"2026-03-16T10:18:53.886Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"4c5ceac1-a9ff-4333-8da3-a644badda1f2","timestamp":"2026-03-16T10:18:53.917Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"403384bf-dcc2-4280-82ff-b68ed75734cd","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01McQ9T6QxDeit77LG46688e","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package repository provides data access and persistence layer for ClusterCockpit.\n     7→//\n     8→// This file implements tag management functionality for job categorization and classification.\n     9→// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n    10→// (via tagger plugins). The implementation includes role-based access control through\n    11→// tag scopes and maintains bidirectional consistency between the SQL database and\n    12→// the file-based job archive.\n    13→//\n    14→// Database Schema:\n    15→//\n    16→//\tCREATE TABLE tag (\n    17→//\t    id INTEGER PRIMARY KEY AUTOINCREMENT,\n    18→//\t    tag_type VARCHAR(255) NOT NULL,\n    19→//\t    tag_name VARCHAR(255) NOT NULL,\n    20→//\t    tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n    21→//\t    CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n    22→//\t);\n    23→//\n    24→//\tCREATE TABLE jobtag (\n    25→//\t    job_id INTEGER,\n    26→//\t    tag_id INTEGER,\n    27→//\t    PRIMARY KEY (job_id, tag_id),\n    28→//\t    FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n    29→//\t    FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n    30→//\t);\n    31→//\n    32→// The jobtag junction table enables many-to-many relationships between jobs and tags.\n    33→// CASCADE deletion ensures referential integrity when jobs or tags are removed.\n    34→package repository\n    35→\n    36→import (\n    37→\t\"errors\"\n    38→\t\"fmt\"\n    39→\t\"strings\"\n    40→\n    41→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    42→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    43→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    44→\tsq \"github.com/Masterminds/squirrel\"\n    45→)\n    46→\n    47→// Tag Scope Rules:\n    48→//\n    49→// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n    50→//\n    51→//  1. \"global\" - Visible to all users, can be used by anyone\n    52→//     Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n    53→//\n    54→//  2. \"private\" - Only visible to the creating user\n    55→//     Example: Personal notes like \"needs-review\", \"interesting-case\"\n    56→//\n    57→//  3. \"admin\" - Only visible to users with admin or support roles\n    58→//     Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n    59→//\n    60→// Authorization Rules:\n    61→//   - Regular users can only create/see \"global\" and their own \"private\" tags\n    62→//   - Admin/Support can create/see all scopes including \"admin\" tags\n    63→//   - Users can only add tags to jobs they have permission to view\n    64→//   - Tag scope is enforced at query time in GetTags() and CountTags()\n    65→\n    66→// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n    67→// Requires user authentication for security checks.\n    68→//\n    69→// The user must have permission to view the job. Tag visibility is determined by scope:\n    70→//   - \"global\" tags: visible to all users\n    71→//   - \"private\" tags: only visible to the tag creator\n    72→//   - \"admin\" tags: only visible to admin/support users\n    73→func (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n    74→\tj, err := r.FindByIDWithUser(user, job)\n    75→\tif err != nil {\n    76→\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n    77→\t\treturn nil, err\n    78→\t}\n    79→\n    80→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n    81→\t\treturn r.GetTags(user, &job)\n    82→\t})\n    83→}\n    84→\n    85→// AddTagDirect adds a tag without user security checks.\n    86→// Use only for internal/admin operations.\n    87→func (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n    88→\tj, err := r.FindByIDDirect(job)\n    89→\tif err != nil {\n    90→\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n    91→\t\treturn nil, err\n    92→\t}\n    93→\n    94→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n    95→\t\treturn r.GetTagsDirect(&job)\n    96→\t})\n    97→}\n    98→\n    99→// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n   100→// Requires user authentication for security checks. Used by GraphQL API.\n   101→func (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n   102→\tj, err := r.FindByIDWithUser(user, job)\n   103→\tif err != nil {\n   104→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n   105→\t\treturn nil, err\n   106→\t}\n   107→\n   108→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n   109→\n   110→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   111→\t\ts, _, _ := q.ToSql()\n   112→\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n   113→\t\treturn nil, err\n   114→\t}\n   115→\n   116→\ttags, err := r.GetTags(user, &job)\n   117→\tif err != nil {\n   118→\t\tcclog.Warn(\"Error while getting tags for job\")\n   119→\t\treturn nil, err\n   120→\t}\n   121→\n   122→\tarchiveTags, err := r.getArchiveTags(&job)\n   123→\tif err != nil {\n   124→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n   125→\t\treturn nil, err\n   126→\t}\n   127→\n   128→\treturn tags, archive.UpdateTags(j, archiveTags)\n   129→}\n   130→\n   131→// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n   132→// Requires user authentication for security checks. Used by REST API.\n   133→func (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n   134→\t// Get Tag ID to delete\n   135→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   136→\tif !exists {\n   137→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   138→\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   139→\t}\n   140→\n   141→\t// Get Job\n   142→\tj, err := r.FindByIDWithUser(user, job)\n   143→\tif err != nil {\n   144→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n   145→\t\treturn nil, err\n   146→\t}\n   147→\n   148→\t// Handle Delete\n   149→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n   150→\n   151→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   152→\t\ts, _, _ := q.ToSql()\n   153→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n   154→\t\treturn nil, err\n   155→\t}\n   156→\n   157→\ttags, err := r.GetTags(user, &job)\n   158→\tif err != nil {\n   159→\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n   160→\t\treturn nil, err\n   161→\t}\n   162→\n   163→\tarchiveTags, err := r.getArchiveTags(&job)\n   164→\tif err != nil {\n   165→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n   166→\t\treturn nil, err\n   167→\t}\n   168→\n   169→\treturn tags, archive.UpdateTags(j, archiveTags)\n   170→}\n   171→\n   172→// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n   173→//\n   174→// This function is called asynchronously (via goroutine) after removing a tag from the database\n   175→// to synchronize the file-based job archive with the database state. Errors are logged but not\n   176→// returned since this runs in the background.\n   177→//\n   178→// Parameters:\n   179→//   - jobIds: Database IDs of all jobs that had the deleted tag\n   180→//\n   181→// Implementation note: Each job is processed individually to handle partial failures gracefully.\n   182→// If one job fails to update, others will still be processed.\n   183→func (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n   184→\tfor _, j := range jobIds {\n   185→\t\ttags, err := r.getArchiveTags(&j)\n   186→\t\tif err != nil {\n   187→\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n   188→\t\t\tcontinue\n   189→\t\t}\n   190→\n   191→\t\tjob, err := r.FindByIDDirect(j)\n   192→\t\tif err != nil {\n   193→\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n   194→\t\t\tcontinue\n   195→\t\t}\n   196→\n   197→\t\tarchive.UpdateTags(job, tags)\n   198→\t}\n   199→}\n   200→\n   201→// Removes a tag from db by tag info\n   202→// Used by REST API. Does not update tagged jobs in Job archive.\n   203→func (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n   204→\t// Get Tag ID to delete\n   205→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   206→\tif !exists {\n   207→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   208→\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   209→\t}\n   210→\n   211→\treturn r.RemoveTagByID(tagID)\n   212→}\n   213→\n   214→// Removes a tag from db by tag id\n   215→// Used by GraphQL API.\n   216→func (r *JobRepository) RemoveTagByID(tagID int64) error {\n   217→\tjobIds, err := r.FindJobIdsByTag(tagID)\n   218→\tif err != nil {\n   219→\t\treturn err\n   220→\t}\n   221→\n   222→\t// Handle Delete JobTagTable\n   223→\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n   224→\n   225→\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n   226→\t\ts, _, _ := qJobTag.ToSql()\n   227→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n   228→\t\treturn err\n   229→\t}\n   230→\n   231→\t// Handle Delete TagTable\n   232→\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n   233→\n   234→\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n   235→\t\ts, _, _ := qTag.ToSql()\n   236→\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n   237→\t\treturn err\n   238→\t}\n   239→\n   240→\t// asynchronously update archive jobs\n   241→\tgo r.removeTagFromArchiveJobs(jobIds)\n   242→\n   243→\treturn nil\n   244→}\n   245→\n   246→// CreateTag creates a new tag with the specified type, name, and scope.\n   247→// Returns the database ID of the newly created tag.\n   248→//\n   249→// Scope defaults to \"global\" if empty string is provided.\n   250→// Valid scopes: \"global\", \"private\", \"admin\"\n   251→//\n   252→// Example:\n   253→//\n   254→//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\n   255→func (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n   256→\t// Default to \"Global\" scope if none defined\n   257→\tif tagScope == \"\" {\n   258→\t\ttagScope = \"global\"\n   259→\t}\n   260→\n   261→\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n   262→\n   263→\tres, err := q.RunWith(r.stmtCache).Exec()\n   264→\tif err != nil {\n   265→\t\ts, _, _ := q.ToSql()\n   266→\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n   267→\t\treturn 0, err\n   268→\t}\n   269→\n   270→\treturn res.LastInsertId()\n   271→}\n   272→\n   273→// CountTags returns all tags visible to the user and the count of jobs for each tag.\n   274→// Applies scope-based filtering to respect tag visibility rules.\n   275→//\n   276→// Returns:\n   277→//   - tags: slice of tags the user can see\n   278→//   - counts: map of tag name to job count\n   279→//   - err: any error encountered\n   280→func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n   281→\ttags = make([]schema.Tag, 0, 100)\n   282→\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n   283→\tif err != nil {\n   284→\t\treturn nil, nil, err\n   285→\t}\n   286→\tdefer xrows.Close()\n   287→\n   288→\tfor xrows.Next() {\n   289→\t\tvar t schema.Tag\n   290→\t\tif err = xrows.StructScan(&t); err != nil {\n   291→\t\t\treturn nil, nil, err\n   292→\t\t}\n   293→\n   294→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n   295→\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n   296→\t\tif err != nil {\n   297→\t\t\treturn nil, nil, err\n   298→\t\t}\n   299→\t\tif readable {\n   300→\t\t\ttags = append(tags, t)\n   301→\t\t}\n   302→\t}\n   303→\n   304→\tif err := xrows.Err(); err != nil {\n   305→\t\treturn nil, nil, err\n   306→\t}\n   307→\n   308→\t// Query and Count Jobs with attached Tags\n   309→\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n   310→\t\tFrom(\"tag t\").\n   311→\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n   312→\t\tGroupBy(\"t.tag_type, t.tag_name\")\n   313→\n   314→\t// Build scope list for filtering\n   315→\tvar scopeBuilder strings.Builder\n   316→\tscopeBuilder.WriteString(`\"global\"`)\n   317→\tif user != nil {\n   318→\t\tscopeBuilder.WriteString(`,\"`)\n   319→\t\tscopeBuilder.WriteString(user.Username)\n   320→\t\tscopeBuilder.WriteString(`\"`)\n   321→\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n   322→\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n   323→\t\t}\n   324→\t}\n   325→\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n   326→\n   327→\t// Handle Job Ownership\n   328→\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n   329→\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n   330→\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n   331→\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n   332→\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n   333→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n   334→\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n   335→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n   336→\t}\n   337→\n   338→\trows, err := q.RunWith(r.stmtCache).Query()\n   339→\tif err != nil {\n   340→\t\treturn nil, nil, err\n   341→\t}\n   342→\tdefer rows.Close()\n   343→\n   344→\tcounts = make(map[string]int)\n   345→\tfor rows.Next() {\n   346→\t\tvar tagType string\n   347→\t\tvar tagName string\n   348→\t\tvar tagID int\n   349→\t\tvar count int\n   350→\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n   351→\t\t\treturn nil, nil, err\n   352→\t\t}\n   353→\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n   354→\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n   355→\t}\n   356→\terr = rows.Err()\n   357→\n   358→\treturn tags, counts, err\n   359→}\n   360→\n   361→var (\n   362→\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n   363→\tErrTagNotFound = errors.New(\"the tag does not exist\")\n   364→\n   365→\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n   366→\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n   367→\n   368→\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n   369→\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n   370→\n   371→\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n   372→\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n   373→\n   374→\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n   375→\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n   376→\n   377→\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n   378→\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n   379→)\n   380→\n   381→// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n   382→//\n   383→// This function performs three operations atomically:\n   384→//  1. Inserts the job-tag association into the jobtag junction table\n   385→//  2. Retrieves the updated tag list for the job (using the provided getTags callback)\n   386→//  3. Updates the job archive with the new tags to maintain database-archive consistency\n   387→//\n   388→// Parameters:\n   389→//   - jobId: Database ID of the job\n   390→//   - tagId: Database ID of the tag to associate\n   391→//   - job: Full job object needed for archive update\n   392→//   - getTags: Callback function to retrieve updated tags (allows different security contexts)\n   393→//\n   394→// Returns the complete updated tag list for the job or an error.\n   395→//\n   396→// Note: This function does NOT validate tag scope permissions - callers must perform\n   397→// authorization checks before invoking this helper.\n   398→func (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n   399→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n   400→\n   401→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   402→\t\ts, _, _ := q.ToSql()\n   403→\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n   404→\t\treturn nil, err\n   405→\t}\n   406→\n   407→\ttags, err := getTags()\n   408→\tif err != nil {\n   409→\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n   410→\t\treturn nil, err\n   411→\t}\n   412→\n   413→\tarchiveTags, err := r.getArchiveTags(&jobID)\n   414→\tif err != nil {\n   415→\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n   416→\t\treturn nil, err\n   417→\t}\n   418→\n   419→\treturn tags, archive.UpdateTags(job, archiveTags)\n   420→}\n   421→\n   422→// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n   423→// If such a tag does not yet exist, it is created.\n   424→func (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n   425→\t// Default to \"Global\" scope if none defined\n   426→\tif tagScope == \"\" {\n   427→\t\ttagScope = \"global\"\n   428→\t}\n   429→\n   430→\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n   431→\tif err != nil {\n   432→\t\treturn 0, err\n   433→\t}\n   434→\tif !writable {\n   435→\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n   436→\t}\n   437→\n   438→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   439→\tif !exists {\n   440→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n   441→\t\tif err != nil {\n   442→\t\t\treturn 0, err\n   443→\t\t}\n   444→\t}\n   445→\n   446→\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n   447→\t\treturn 0, err\n   448→\t}\n   449→\n   450→\treturn tagID, nil\n   451→}\n   452→\n   453→func (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n   454→\ttagScope := \"global\"\n   455→\n   456→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   457→\tif !exists {\n   458→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n   459→\t\tif err != nil {\n   460→\t\t\treturn 0, err\n   461→\t\t}\n   462→\t}\n   463→\n   464→\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n   465→\n   466→\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n   467→\t\treturn 0, err\n   468→\t}\n   469→\n   470→\treturn tagID, nil\n   471→}\n   472→\n   473→func (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n   474→\tvar id int64\n   475→\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n   476→\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n   477→\t\tWhere(\"tag.tag_name = ?\", tagName)\n   478→\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n   479→\tif err != nil {\n   480→\t\treturn false\n   481→\t} else {\n   482→\t\treturn true\n   483→\t}\n   484→}\n   485→\n   486→// TagID returns the database id of the tag with the specified type and name.\n   487→func (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n   488→\texists = true\n   489→\tif err := sq.Select(\"id\").From(\"tag\").\n   490→\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n   491→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n   492→\t\texists = false\n   493→\t}\n   494→\treturn\n   495→}\n   496→\n   497→// TagInfo returns the database infos of the tag with the specified id.\n   498→func (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n   499→\texists = true\n   500→\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n   501→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n   502→\t\texists = false\n   503→\t}\n   504→\treturn\n   505→}\n   506→\n   507→// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\n   508→func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n   509→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n   510→\tif job != nil {\n   511→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n   512→\t}\n   513→\n   514→\trows, err := q.RunWith(r.stmtCache).Query()\n   515→\tif err != nil {\n   516→\t\ts, _, _ := q.ToSql()\n   517→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n   518→\t\treturn nil, err\n   519→\t}\n   520→\tdefer rows.Close()\n   521→\n   522→\ttags := make([]*schema.Tag, 0)\n   523→\tfor rows.Next() {\n   524→\t\ttag := &schema.Tag{}\n   525→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n   526→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n   527→\t\t\treturn nil, err\n   528→\t\t}\n   529→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n   530→\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n   531→\t\tif err != nil {\n   532→\t\t\treturn nil, err\n   533→\t\t}\n   534→\t\tif readable {\n   535→\t\t\ttags = append(tags, tag)\n   536→\t\t}\n   537→\t}\n   538→\n   539→\tif err := rows.Err(); err != nil {\n   540→\t\treturn nil, err\n   541→\t}\n   542→\n   543→\treturn tags, nil\n   544→}\n   545→\n   546→func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n   547→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n   548→\tif job != nil {\n   549→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n   550→\t}\n   551→\n   552→\trows, err := q.RunWith(r.stmtCache).Query()\n   553→\tif err != nil {\n   554→\t\ts, _, _ := q.ToSql()\n   555→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n   556→\t\treturn nil, err\n   557→\t}\n   558→\tdefer rows.Close()\n   559→\n   560→\ttags := make([]*schema.Tag, 0)\n   561→\tfor rows.Next() {\n   562→\t\ttag := &schema.Tag{}\n   563→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n   564→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n   565→\t\t\treturn nil, err\n   566→\t\t}\n   567→\t\ttags = append(tags, tag)\n   568→\t}\n   569→\n   570→\tif err := rows.Err(); err != nil {\n   571→\t\treturn nil, err\n   572→\t}\n   573→\n   574→\treturn tags, nil\n   575→}\n   576→\n   577→// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n   578→//\n   579→// This internal function is used exclusively for job archive synchronization where we need\n   580→// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n   581→// filters by scope, this returns the complete unfiltered tag list.\n   582→//\n   583→// Parameters:\n   584→//   - job: Pointer to job database ID, or nil to return all tags in the system\n   585→//\n   586→// Returns all tags without scope filtering, used only for archive operations.\n   587→//\n   588→// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\n   589→func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n   590→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n   591→\tif job != nil {\n   592→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n   593→\t}\n   594→\n   595→\trows, err := q.RunWith(r.stmtCache).Query()\n   596→\tif err != nil {\n   597→\t\ts, _, _ := q.ToSql()\n   598→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n   599→\t\treturn nil, err\n   600→\t}\n   601→\tdefer rows.Close()\n   602→\n   603→\ttags := make([]*schema.Tag, 0)\n   604→\tfor rows.Next() {\n   605→\t\ttag := &schema.Tag{}\n   606→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n   607→\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n   608→\t\t\treturn nil, err\n   609→\t\t}\n   610→\t\ttags = append(tags, tag)\n   611→\t}\n   612→\n   613→\tif err := rows.Err(); err != nil {\n   614→\t\treturn nil, err\n   615→\t}\n   616→\n   617→\treturn tags, nil\n   618→}\n   619→\n   620→func (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n   621→\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n   622→\n   623→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   624→\tif !exists {\n   625→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n   626→\t\tif err != nil {\n   627→\t\t\treturn err\n   628→\t\t}\n   629→\t}\n   630→\n   631→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n   632→\n   633→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   634→\t\ts, _, _ := q.ToSql()\n   635→\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n   636→\t\treturn err\n   637→\t}\n   638→\n   639→\treturn nil\n   640→}\n   641→\n   642→// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n   643→//\n   644→// This function implements the tag scope authorization matrix:\n   645→//\n   646→//\tScope        | Read Access                      | Write Access\n   647→//\t-------------|----------------------------------|----------------------------------\n   648→//\t\"global\"     | All users                        | Admin, Support, API-only\n   649→//\t\"admin\"      | Admin, Support                   | Admin, API-only\n   650→//\t<username>   | Owner only                       | Owner only (private tags)\n   651→//\n   652→// Parameters:\n   653→//   - user: User attempting the operation (must not be nil)\n   654→//   - operation: Either \"read\" or \"write\"\n   655→//   - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n   656→//\n   657→// Returns:\n   658→//   - pass: true if authorized, false if denied\n   659→//   - err: error only if operation is invalid or user is nil\n   660→//\n   661→// Special cases:\n   662→//   - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n   663→//   - Private tags use the username as scope, granting exclusive access to that user\n   664→func (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n   665→\tif user != nil {\n   666→\t\tswitch {\n   667→\t\tcase operation == \"write\" && scope == \"admin\":\n   668→\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n   669→\t\t\t\treturn true, nil\n   670→\t\t\t}\n   671→\t\t\treturn false, nil\n   672→\t\tcase operation == \"write\" && scope == \"global\":\n   673→\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n   674→\t\t\t\treturn true, nil\n   675→\t\t\t}\n   676→\t\t\treturn false, nil\n   677→\t\tcase operation == \"write\" && scope == user.Username:\n   678→\t\t\treturn true, nil\n   679→\t\tcase operation == \"read\" && scope == \"admin\":\n   680→\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n   681→\t\tcase operation == \"read\" && scope == \"global\":\n   682→\t\t\treturn true, nil\n   683→\t\tcase operation == \"read\" && scope == user.Username:\n   684→\t\t\treturn true, nil\n   685→\t\tdefault:\n   686→\t\t\tif operation == \"read\" || operation == \"write\" {\n   687→\t\t\t\t// No acceptable scope: deny tag\n   688→\t\t\t\treturn false, nil\n   689→\t\t\t} else {\n   690→\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n   691→\t\t\t}\n   692→\t\t}\n   693→\t} else {\n   694→\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n   695→\t}\n   696→}\n   697→"}]},"uuid":"24f743bb-f6b7-4740-81ba-80bbe330ba82","timestamp":"2026-03-16T10:18:54.661Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"fc679690-cf7e-4f11-b0bb-8bd2e3b0aa82","timestamp":"2026-03-16T10:18:54.885Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"fc679690-cf7e-4f11-b0bb-8bd2e3b0aa82","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:54.889Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01A3P6gr75foAWUNkAzA7oVj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012fdQFVceLrtsY7t3g5NiYW","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":1590,"cache_read_input_tokens":17374,"cache_creation":{"ephemeral_5m_input_tokens":1590,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7AcQ15FykJX5wRoAU","uuid":"5821928a-64f5-4494-a6ab-4062a001ad17"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"2da4ab86-6292-4c47-b96c-9472738423a3","timestamp":"2026-03-16T10:18:54.889Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"2da4ab86-6292-4c47-b96c-9472738423a3","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012fdQFVceLrtsY7t3g5NiYW","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"encoding/json\"\n    10→\t\"fmt\"\n    11→\n    12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    14→\tsq \"github.com/Masterminds/squirrel\"\n    15→)\n    16→\n    17→const NamedJobCacheInsert string = `INSERT INTO job_cache (\n    18→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n    19→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n    20→) VALUES (\n    21→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n    22→  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n    23→);`\n    24→\n    25→const NamedJobInsert string = `INSERT INTO job (\n    26→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n    27→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n    28→) VALUES (\n    29→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n    30→  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n    31→);`\n    32→\n    33→// InsertJobDirect inserts a job directly into the job table (not job_cache).\n    34→// Use this when the returned ID will be used for operations on the job table\n    35→// (e.g., adding tags), or for imported jobs that are already completed.\n    36→func (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n    37→\tr.Mutex.Lock()\n    38→\tdefer r.Mutex.Unlock()\n    39→\n    40→\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n    41→\tif err != nil {\n    42→\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n    43→\t\treturn 0, err\n    44→\t}\n    45→\tid, err := res.LastInsertId()\n    46→\tif err != nil {\n    47→\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n    48→\t\treturn 0, err\n    49→\t}\n    50→\n    51→\treturn id, nil\n    52→}\n    53→\n    54→func (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n    55→\tr.Mutex.Lock()\n    56→\tdefer r.Mutex.Unlock()\n    57→\n    58→\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n    59→\tif err != nil {\n    60→\t\tcclog.Warn(\"Error while NamedJobInsert\")\n    61→\t\treturn 0, err\n    62→\t}\n    63→\tid, err := res.LastInsertId()\n    64→\tif err != nil {\n    65→\t\tcclog.Warn(\"Error while getting last insert ID\")\n    66→\t\treturn 0, err\n    67→\t}\n    68→\n    69→\treturn id, nil\n    70→}\n    71→\n    72→func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n    73→\tr.Mutex.Lock()\n    74→\tdefer r.Mutex.Unlock()\n    75→\n    76→\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n    77→\n    78→\trows, err := query.RunWith(r.stmtCache).Query()\n    79→\tif err != nil {\n    80→\t\tcclog.Errorf(\"Error while running query %v\", err)\n    81→\t\treturn nil, err\n    82→\t}\n    83→\tdefer rows.Close()\n    84→\n    85→\tjobs := make([]*schema.Job, 0, 50)\n    86→\tfor rows.Next() {\n    87→\t\tjob, err := scanJob(rows)\n    88→\t\tif err != nil {\n    89→\t\t\tcclog.Warn(\"Error while scanning rows\")\n    90→\t\t\treturn nil, err\n    91→\t\t}\n    92→\t\tjobs = append(jobs, job)\n    93→\t}\n    94→\n    95→\t// Transfer cached jobs to main table and clear cache in a single transaction.\n    96→\ttx, err := r.DB.Beginx()\n    97→\tif err != nil {\n    98→\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n    99→\t\treturn nil, err\n   100→\t}\n   101→\tdefer tx.Rollback()\n   102→\n   103→\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n   104→\t_, err = tx.Exec(\n   105→\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n   106→\tif err != nil {\n   107→\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n   108→\t\treturn nil, err\n   109→\t}\n   110→\n   111→\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n   112→\tif err != nil {\n   113→\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n   114→\t\treturn nil, err\n   115→\t}\n   116→\n   117→\tif err := tx.Commit(); err != nil {\n   118→\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n   119→\t\treturn nil, err\n   120→\t}\n   121→\n   122→\t// Resolve correct job.id from the job table. The IDs read from job_cache\n   123→\t// are from a different auto-increment sequence and must not be used to\n   124→\t// query the job table.\n   125→\tfor _, job := range jobs {\n   126→\t\tvar newID int64\n   127→\t\tif err := sq.Select(\"job.id\").From(\"job\").\n   128→\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n   129→\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n   130→\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n   131→\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n   132→\t\t\t\tjob.JobID, job.Cluster, err)\n   133→\t\t\tcontinue\n   134→\t\t}\n   135→\t\tjob.ID = &newID\n   136→\t}\n   137→\n   138→\treturn jobs, nil\n   139→}\n   140→\n   141→// TransferCachedJobToMain moves a job from job_cache to the job table.\n   142→// Caller must hold r.Mutex. Returns the new job table ID.\n   143→func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n   144→\tres, err := r.DB.Exec(\n   145→\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n   146→\t\tcacheID)\n   147→\tif err != nil {\n   148→\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n   149→\t}\n   150→\n   151→\tnewID, err := res.LastInsertId()\n   152→\tif err != nil {\n   153→\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n   154→\t}\n   155→\n   156→\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n   157→\tif err != nil {\n   158→\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n   159→\t}\n   160→\n   161→\treturn newID, nil\n   162→}\n   163→\n   164→// Start inserts a new job in the table, returning the unique job ID.\n   165→// Statistics are not transfered!\n   166→func (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n   167→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   168→\tif err != nil {\n   169→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n   170→\t}\n   171→\n   172→\tjob.RawResources, err = json.Marshal(job.Resources)\n   173→\tif err != nil {\n   174→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n   175→\t}\n   176→\n   177→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n   178→\tif err != nil {\n   179→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n   180→\t}\n   181→\n   182→\treturn r.InsertJob(job)\n   183→}\n   184→\n   185→// StartDirect inserts a new job directly into the job table (not job_cache).\n   186→// Use this when the returned ID will immediately be used for job table\n   187→// operations such as adding tags.\n   188→func (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n   189→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   190→\tif err != nil {\n   191→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n   192→\t}\n   193→\n   194→\tjob.RawResources, err = json.Marshal(job.Resources)\n   195→\tif err != nil {\n   196→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n   197→\t}\n   198→\n   199→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n   200→\tif err != nil {\n   201→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n   202→\t}\n   203→\n   204→\treturn r.InsertJobDirect(job)\n   205→}\n   206→\n   207→// Stop updates the job with the database id jobId using the provided arguments.\n   208→func (r *JobRepository) Stop(\n   209→\tjobID int64,\n   210→\tduration int32,\n   211→\tstate schema.JobState,\n   212→\tmonitoringStatus int32,\n   213→) (err error) {\n   214→\t// Invalidate cache entries as job state is changing\n   215→\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n   216→\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n   217→\n   218→\tstmt := sq.Update(\"job\").\n   219→\t\tSet(\"job_state\", state).\n   220→\t\tSet(\"duration\", duration).\n   221→\t\tSet(\"monitoring_status\", monitoringStatus).\n   222→\t\tWhere(\"job.id = ?\", jobID)\n   223→\n   224→\t_, err = stmt.RunWith(r.stmtCache).Exec()\n   225→\treturn err\n   226→}\n   227→"}]},"uuid":"758b9b9e-bfd8-46c1-a469-bede6913e6c5","timestamp":"2026-03-16T10:18:54.899Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"ad475ca1-30c3-49f7-9995-aa4bdf96ea9e","timestamp":"2026-03-16T10:18:55.097Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"6982164d-b24f-4e35-89a8-341592893f04","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01X1wWyRjNqL5ZvzQvFVYAUx","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"encoding/json\"\n    10→\t\"fmt\"\n    11→\t\"os\"\n    12→\t\"path/filepath\"\n    13→\t\"strconv\"\n    14→\t\"strings\"\n    15→\t\"time\"\n    16→\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\tpqarchive \"github.com/ClusterCockpit/cc-backend/pkg/archive/parquet\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→\t\"github.com/go-co-op/gocron/v2\"\n    22→)\n    23→\n    24→// createParquetTarget creates a ParquetTarget (file or S3) from the retention config.\n    25→func createParquetTarget(cfg Retention) (pqarchive.ParquetTarget, error) {\n    26→\tswitch cfg.TargetKind {\n    27→\tcase \"s3\":\n    28→\t\treturn pqarchive.NewS3Target(pqarchive.S3TargetConfig{\n    29→\t\t\tEndpoint:     cfg.TargetEndpoint,\n    30→\t\t\tBucket:       cfg.TargetBucket,\n    31→\t\t\tAccessKey:    cfg.TargetAccessKey,\n    32→\t\t\tSecretKey:    cfg.TargetSecretKey,\n    33→\t\t\tRegion:       cfg.TargetRegion,\n    34→\t\t\tUsePathStyle: cfg.TargetUsePathStyle,\n    35→\t\t})\n    36→\tdefault:\n    37→\t\treturn pqarchive.NewFileTarget(cfg.TargetPath)\n    38→\t}\n    39→}\n    40→\n    41→// createTargetBackend creates a secondary archive backend (file or S3) for JSON copy/move.\n    42→func createTargetBackend(cfg Retention) (archive.ArchiveBackend, error) {\n    43→\tvar raw json.RawMessage\n    44→\tvar err error\n    45→\n    46→\tswitch cfg.TargetKind {\n    47→\tcase \"s3\":\n    48→\t\traw, err = json.Marshal(map[string]any{\n    49→\t\t\t\"kind\":           \"s3\",\n    50→\t\t\t\"endpoint\":       cfg.TargetEndpoint,\n    51→\t\t\t\"bucket\":         cfg.TargetBucket,\n    52→\t\t\t\"access-key\":     cfg.TargetAccessKey,\n    53→\t\t\t\"secret-key\":     cfg.TargetSecretKey,\n    54→\t\t\t\"region\":         cfg.TargetRegion,\n    55→\t\t\t\"use-path-style\": cfg.TargetUsePathStyle,\n    56→\t\t})\n    57→\tdefault:\n    58→\t\traw, err = json.Marshal(map[string]string{\n    59→\t\t\t\"kind\": \"file\",\n    60→\t\t\t\"path\": cfg.TargetPath,\n    61→\t\t})\n    62→\t}\n    63→\tif err != nil {\n    64→\t\treturn nil, fmt.Errorf(\"marshal target config: %w\", err)\n    65→\t}\n    66→\treturn archive.InitBackend(raw)\n    67→}\n    68→\n    69→// transferJobsJSON copies job data from source archive to target backend in JSON format.\n    70→func transferJobsJSON(jobs []*schema.Job, src archive.ArchiveBackend, dst archive.ArchiveBackend) error {\n    71→\t// Transfer cluster configs for all clusters referenced by jobs\n    72→\tclustersDone := make(map[string]bool)\n    73→\tfor _, job := range jobs {\n    74→\t\tif clustersDone[job.Cluster] {\n    75→\t\t\tcontinue\n    76→\t\t}\n    77→\t\tclusterCfg, err := src.LoadClusterCfg(job.Cluster)\n    78→\t\tif err != nil {\n    79→\t\t\tcclog.Warnf(\"Retention: load cluster config %q: %v\", job.Cluster, err)\n    80→\t\t} else {\n    81→\t\t\tif err := dst.StoreClusterCfg(job.Cluster, clusterCfg); err != nil {\n    82→\t\t\t\tcclog.Warnf(\"Retention: store cluster config %q: %v\", job.Cluster, err)\n    83→\t\t\t}\n    84→\t\t}\n    85→\t\tclustersDone[job.Cluster] = true\n    86→\t}\n    87→\n    88→\tfor _, job := range jobs {\n    89→\t\tmeta, err := src.LoadJobMeta(job)\n    90→\t\tif err != nil {\n    91→\t\t\tcclog.Warnf(\"Retention: load meta for job %d: %v\", job.JobID, err)\n    92→\t\t\tcontinue\n    93→\t\t}\n    94→\t\tdata, err := src.LoadJobData(job)\n    95→\t\tif err != nil {\n    96→\t\t\tcclog.Warnf(\"Retention: load data for job %d: %v\", job.JobID, err)\n    97→\t\t\tcontinue\n    98→\t\t}\n    99→\t\tif err := dst.ImportJob(meta, &data); err != nil {\n   100→\t\t\tcclog.Warnf(\"Retention: import job %d: %v\", job.JobID, err)\n   101→\t\t\tcontinue\n   102→\t\t}\n   103→\t}\n   104→\treturn nil\n   105→}\n   106→\n   107→// transferJobsParquet converts jobs to Parquet format, organized by cluster.\n   108→func transferJobsParquet(jobs []*schema.Job, src archive.ArchiveBackend, target pqarchive.ParquetTarget, maxSizeMB int) error {\n   109→\tcw := pqarchive.NewClusterAwareParquetWriter(target, maxSizeMB)\n   110→\n   111→\t// Set cluster configs for all clusters referenced by jobs\n   112→\tclustersDone := make(map[string]bool)\n   113→\tfor _, job := range jobs {\n   114→\t\tif clustersDone[job.Cluster] {\n   115→\t\t\tcontinue\n   116→\t\t}\n   117→\t\tclusterCfg, err := src.LoadClusterCfg(job.Cluster)\n   118→\t\tif err != nil {\n   119→\t\t\tcclog.Warnf(\"Retention: load cluster config %q: %v\", job.Cluster, err)\n   120→\t\t} else {\n   121→\t\t\tcw.SetClusterConfig(job.Cluster, clusterCfg)\n   122→\t\t}\n   123→\t\tclustersDone[job.Cluster] = true\n   124→\t}\n   125→\n   126→\tfor _, job := range jobs {\n   127→\t\tmeta, err := src.LoadJobMeta(job)\n   128→\t\tif err != nil {\n   129→\t\t\tcclog.Warnf(\"Retention: load meta for job %d: %v\", job.JobID, err)\n   130→\t\t\tcontinue\n   131→\t\t}\n   132→\t\tdata, err := src.LoadJobData(job)\n   133→\t\tif err != nil {\n   134→\t\t\tcclog.Warnf(\"Retention: load data for job %d: %v\", job.JobID, err)\n   135→\t\t\tcontinue\n   136→\t\t}\n   137→\t\trow, err := pqarchive.JobToParquetRow(meta, &data)\n   138→\t\tif err != nil {\n   139→\t\t\tcclog.Warnf(\"Retention: convert job %d: %v\", job.JobID, err)\n   140→\t\t\tcontinue\n   141→\t\t}\n   142→\t\tif err := cw.AddJob(*row); err != nil {\n   143→\t\t\tcclog.Errorf(\"Retention: add job %d to writer: %v\", job.JobID, err)\n   144→\t\t\tcontinue\n   145→\t\t}\n   146→\t}\n   147→\n   148→\treturn cw.Close()\n   149→}\n   150→\n   151→// cleanupAfterTransfer removes jobs from archive and optionally from DB.\n   152→func cleanupAfterTransfer(jobs []*schema.Job, startTime int64, includeDB bool, omitTagged string) {\n   153→\tarchive.GetHandle().CleanUp(jobs)\n   154→\n   155→\tif includeDB {\n   156→\t\tcnt, err := jobRepo.DeleteJobsBefore(startTime, omitTagged)\n   157→\t\tif err != nil {\n   158→\t\t\tcclog.Errorf(\"Retention: delete jobs from db: %v\", err)\n   159→\t\t} else {\n   160→\t\t\tcclog.Infof(\"Retention: removed %d jobs from db\", cnt)\n   161→\t\t}\n   162→\t\tif err = jobRepo.Optimize(); err != nil {\n   163→\t\t\tcclog.Errorf(\"Retention: db optimization error: %v\", err)\n   164→\t\t}\n   165→\t}\n   166→}\n   167→\n   168→// readCopyMarker reads the last-processed timestamp from a copy marker file.\n   169→func readCopyMarker(cfg Retention) int64 {\n   170→\tvar data []byte\n   171→\tvar err error\n   172→\n   173→\tswitch cfg.TargetKind {\n   174→\tcase \"s3\":\n   175→\t\t// For S3 we store the marker locally alongside the config\n   176→\t\tdata, err = os.ReadFile(copyMarkerPath(cfg))\n   177→\tdefault:\n   178→\t\tdata, err = os.ReadFile(filepath.Join(cfg.TargetPath, \".copy-marker\"))\n   179→\t}\n   180→\tif err != nil {\n   181→\t\treturn 0\n   182→\t}\n   183→\tts, err := strconv.ParseInt(strings.TrimSpace(string(data)), 10, 64)\n   184→\tif err != nil {\n   185→\t\treturn 0\n   186→\t}\n   187→\treturn ts\n   188→}\n   189→\n   190→// writeCopyMarker writes the last-processed timestamp to a copy marker file.\n   191→func writeCopyMarker(cfg Retention, ts int64) {\n   192→\tcontent := []byte(strconv.FormatInt(ts, 10))\n   193→\tvar err error\n   194→\n   195→\tswitch cfg.TargetKind {\n   196→\tcase \"s3\":\n   197→\t\terr = os.WriteFile(copyMarkerPath(cfg), content, 0o640)\n   198→\tdefault:\n   199→\t\terr = os.WriteFile(filepath.Join(cfg.TargetPath, \".copy-marker\"), content, 0o640)\n   200→\t}\n   201→\tif err != nil {\n   202→\t\tcclog.Warnf(\"Retention: write copy marker: %v\", err)\n   203→\t}\n   204→}\n   205→\n   206→func copyMarkerPath(cfg Retention) string {\n   207→\t// For S3 targets, store the marker in a local temp-style path derived from the bucket name\n   208→\treturn filepath.Join(os.TempDir(), fmt.Sprintf(\"cc-copy-marker-%s\", cfg.TargetBucket))\n   209→}\n   210→\n   211→func RegisterRetentionDeleteService(cfg Retention) {\n   212→\tcclog.Info(\"Register retention delete service\")\n   213→\n   214→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(3, 0, 0))),\n   215→\t\tgocron.NewTask(\n   216→\t\t\tfunc() {\n   217→\t\t\t\tstartTime := time.Now().Unix() - int64(cfg.Age*24*3600)\n   218→\t\t\t\tjobs, err := jobRepo.FindJobsBetween(0, startTime, cfg.OmitTagged)\n   219→\t\t\t\tif err != nil {\n   220→\t\t\t\t\tcclog.Warnf(\"Retention delete: error finding jobs: %v\", err)\n   221→\t\t\t\t\treturn\n   222→\t\t\t\t}\n   223→\t\t\t\tif len(jobs) == 0 {\n   224→\t\t\t\t\treturn\n   225→\t\t\t\t}\n   226→\n   227→\t\t\t\tcclog.Infof(\"Retention delete: processing %d jobs\", len(jobs))\n   228→\t\t\t\tcleanupAfterTransfer(jobs, startTime, cfg.IncludeDB, cfg.OmitTagged)\n   229→\t\t\t}))\n   230→}\n   231→\n   232→func RegisterRetentionCopyService(cfg Retention) {\n   233→\tcclog.Infof(\"Register retention copy service (format=%s, target=%s)\", cfg.Format, cfg.TargetKind)\n   234→\n   235→\tmaxFileSizeMB := cfg.MaxFileSizeMB\n   236→\tif maxFileSizeMB <= 0 {\n   237→\t\tmaxFileSizeMB = 512\n   238→\t}\n   239→\n   240→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(4, 0, 0))),\n   241→\t\tgocron.NewTask(\n   242→\t\t\tfunc() {\n   243→\t\t\t\tcutoff := time.Now().Unix() - int64(cfg.Age*24*3600)\n   244→\t\t\t\tlastProcessed := readCopyMarker(cfg)\n   245→\n   246→\t\t\t\tjobs, err := jobRepo.FindJobsBetween(lastProcessed, cutoff, cfg.OmitTagged)\n   247→\t\t\t\tif err != nil {\n   248→\t\t\t\t\tcclog.Warnf(\"Retention copy: error finding jobs: %v\", err)\n   249→\t\t\t\t\treturn\n   250→\t\t\t\t}\n   251→\t\t\t\tif len(jobs) == 0 {\n   252→\t\t\t\t\treturn\n   253→\t\t\t\t}\n   254→\n   255→\t\t\t\tcclog.Infof(\"Retention copy: processing %d jobs\", len(jobs))\n   256→\t\t\t\tar := archive.GetHandle()\n   257→\n   258→\t\t\t\tswitch cfg.Format {\n   259→\t\t\t\tcase \"parquet\":\n   260→\t\t\t\t\ttarget, err := createParquetTarget(cfg)\n   261→\t\t\t\t\tif err != nil {\n   262→\t\t\t\t\t\tcclog.Errorf(\"Retention copy: create parquet target: %v\", err)\n   263→\t\t\t\t\t\treturn\n   264→\t\t\t\t\t}\n   265→\t\t\t\t\tif err := transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\n   266→\t\t\t\t\t\tcclog.Errorf(\"Retention copy: parquet transfer: %v\", err)\n   267→\t\t\t\t\t\treturn\n   268→\t\t\t\t\t}\n   269→\t\t\t\tdefault: // json\n   270→\t\t\t\t\tdst, err := createTargetBackend(cfg)\n   271→\t\t\t\t\tif err != nil {\n   272→\t\t\t\t\t\tcclog.Errorf(\"Retention copy: create target backend: %v\", err)\n   273→\t\t\t\t\t\treturn\n   274→\t\t\t\t\t}\n   275→\t\t\t\t\tif err := transferJobsJSON(jobs, ar, dst); err != nil {\n   276→\t\t\t\t\t\tcclog.Errorf(\"Retention copy: json transfer: %v\", err)\n   277→\t\t\t\t\t\treturn\n   278→\t\t\t\t\t}\n   279→\t\t\t\t}\n   280→\n   281→\t\t\t\twriteCopyMarker(cfg, cutoff)\n   282→\t\t\t}))\n   283→}\n   284→\n   285→func RegisterRetentionMoveService(cfg Retention) {\n   286→\tcclog.Infof(\"Register retention move service (format=%s, target=%s)\", cfg.Format, cfg.TargetKind)\n   287→\n   288→\tmaxFileSizeMB := cfg.MaxFileSizeMB\n   289→\tif maxFileSizeMB <= 0 {\n   290→\t\tmaxFileSizeMB = 512\n   291→\t}\n   292→\n   293→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(5, 0, 0))),\n   294→\t\tgocron.NewTask(\n   295→\t\t\tfunc() {\n   296→\t\t\t\tstartTime := time.Now().Unix() - int64(cfg.Age*24*3600)\n   297→\t\t\t\tjobs, err := jobRepo.FindJobsBetween(0, startTime, cfg.OmitTagged)\n   298→\t\t\t\tif err != nil {\n   299→\t\t\t\t\tcclog.Warnf(\"Retention move: error finding jobs: %v\", err)\n   300→\t\t\t\t\treturn\n   301→\t\t\t\t}\n   302→\t\t\t\tif len(jobs) == 0 {\n   303→\t\t\t\t\treturn\n   304→\t\t\t\t}\n   305→\n   306→\t\t\t\tcclog.Infof(\"Retention move: processing %d jobs\", len(jobs))\n   307→\t\t\t\tar := archive.GetHandle()\n   308→\n   309→\t\t\t\tswitch cfg.Format {\n   310→\t\t\t\tcase \"parquet\":\n   311→\t\t\t\t\ttarget, err := createParquetTarget(cfg)\n   312→\t\t\t\t\tif err != nil {\n   313→\t\t\t\t\t\tcclog.Errorf(\"Retention move: create parquet target: %v\", err)\n   314→\t\t\t\t\t\treturn\n   315→\t\t\t\t\t}\n   316→\t\t\t\t\tif err := transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\n   317→\t\t\t\t\t\tcclog.Errorf(\"Retention move: parquet transfer: %v\", err)\n   318→\t\t\t\t\t\treturn\n   319→\t\t\t\t\t}\n   320→\t\t\t\tdefault: // json\n   321→\t\t\t\t\tdst, err := createTargetBackend(cfg)\n   322→\t\t\t\t\tif err != nil {\n   323→\t\t\t\t\t\tcclog.Errorf(\"Retention move: create target backend: %v\", err)\n   324→\t\t\t\t\t\treturn\n   325→\t\t\t\t\t}\n   326→\t\t\t\t\tif err := transferJobsJSON(jobs, ar, dst); err != nil {\n   327→\t\t\t\t\t\tcclog.Errorf(\"Retention move: json transfer: %v\", err)\n   328→\t\t\t\t\t\treturn\n   329→\t\t\t\t\t}\n   330→\t\t\t\t}\n   331→\n   332→\t\t\t\tcleanupAfterTransfer(jobs, startTime, cfg.IncludeDB, cfg.OmitTagged)\n   333→\t\t\t}))\n   334→}\n   335→"}]},"uuid":"4ce7a245-5605-466c-805e-7afe98a3455e","timestamp":"2026-03-16T10:18:55.266Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"55872396-17aa-4333-950b-7dac1e007190","timestamp":"2026-03-16T10:18:55.267Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"cc02a4e2-04b8-472c-a560-3896dafebd9f","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XoMSQBVzkgXnMoE3wdHsWF","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package archiver provides asynchronous job archiving functionality for ClusterCockpit.\n     7→//\n     8→// The archiver runs a background worker goroutine that processes job archiving requests\n     9→// from a buffered channel. When jobs complete, their metric data is archived from the\n    10→// metric store to the configured archive backend (filesystem, S3, etc.).\n    11→//\n    12→// # Architecture\n    13→//\n    14→// The archiver uses a producer-consumer pattern:\n    15→//   - Producer: TriggerArchiving() sends jobs to archiveChannel\n    16→//   - Consumer: archivingWorker() processes jobs from the channel\n    17→//   - Coordination: sync.WaitGroup tracks pending archive operations\n    18→//\n    19→// # Lifecycle\n    20→//\n    21→//  1. Start(repo, ctx) - Initialize worker with context for cancellation\n    22→//  2. TriggerArchiving(job) - Queue job for archiving (called when job stops)\n    23→//  3. archivingWorker() - Background goroutine processes jobs\n    24→//  4. Shutdown(timeout) - Graceful shutdown with timeout\n    25→//\n    26→// # Graceful Shutdown\n    27→//\n    28→// The archiver supports graceful shutdown with configurable timeout:\n    29→//   - Closes channel to reject new jobs\n    30→//   - Waits for pending jobs to complete (up to timeout)\n    31→//   - Cancels context if timeout exceeded\n    32→//   - Ensures worker goroutine exits cleanly\n    33→//\n    34→// # Example Usage\n    35→//\n    36→//\t// Initialize archiver\n    37→//\tctx, cancel := context.WithCancel(context.Background())\n    38→//\tdefer cancel()\n    39→//\tarchiver.Start(jobRepository, ctx)\n    40→//\n    41→//\t// Trigger archiving when job completes\n    42→//\tarchiver.TriggerArchiving(job)\n    43→//\n    44→//\t// Graceful shutdown with 10 second timeout\n    45→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n    46→//\t    log.Printf(\"Archiver shutdown timeout: %v\", err)\n    47→//\t}\n    48→package archiver\n    49→\n    50→import (\n    51→\t\"context\"\n    52→\t\"fmt\"\n    53→\t\"sync\"\n    54→\t\"time\"\n    55→\n    56→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    57→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    58→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    59→\tsq \"github.com/Masterminds/squirrel\"\n    60→)\n    61→\n    62→var (\n    63→\tarchivePending sync.WaitGroup\n    64→\tarchiveChannel chan *schema.Job\n    65→\tjobRepo        *repository.JobRepository\n    66→\tshutdownCtx    context.Context\n    67→\tshutdownCancel context.CancelFunc\n    68→\tworkerDone     chan struct{}\n    69→)\n    70→\n    71→// Start initializes the archiver and starts the background worker goroutine.\n    72→//\n    73→// The archiver processes job archiving requests asynchronously via a buffered channel.\n    74→// Jobs are sent to the channel using TriggerArchiving() and processed by the worker.\n    75→//\n    76→// Parameters:\n    77→//   - r: JobRepository instance for database operations\n    78→//   - ctx: Context for cancellation (shutdown signal propagation)\n    79→//\n    80→// The worker goroutine will run until:\n    81→//   - ctx is cancelled (via parent shutdown)\n    82→//   - archiveChannel is closed (via Shutdown())\n    83→//\n    84→// Must be called before TriggerArchiving(). Safe to call only once.\n    85→func Start(r *repository.JobRepository, ctx context.Context) {\n    86→\tshutdownCtx, shutdownCancel = context.WithCancel(ctx)\n    87→\tarchiveChannel = make(chan *schema.Job, 128)\n    88→\tworkerDone = make(chan struct{})\n    89→\tjobRepo = r\n    90→\n    91→\tgo archivingWorker()\n    92→}\n    93→\n    94→// archivingWorker is the background goroutine that processes job archiving requests.\n    95→//\n    96→// The worker loop:\n    97→//  1. Blocks waiting for jobs on archiveChannel or shutdown signal\n    98→//  2. Fetches job metadata from repository\n    99→//  3. Archives job data to configured backend (calls ArchiveJob)\n   100→//  4. Updates job footprint and energy metrics in database\n   101→//  5. Marks job as successfully archived\n   102→//  6. Calls job stop hooks\n   103→//\n   104→// The worker exits when:\n   105→//   - shutdownCtx is cancelled (timeout during shutdown)\n   106→//   - archiveChannel is closed (normal shutdown)\n   107→//\n   108→// Errors during archiving are logged and the job is marked as failed,\n   109→// but the worker continues processing other jobs.\n   110→func archivingWorker() {\n   111→\tdefer close(workerDone)\n   112→\n   113→\tfor {\n   114→\t\tselect {\n   115→\t\tcase <-shutdownCtx.Done():\n   116→\t\t\tcclog.Info(\"Archive worker received shutdown signal\")\n   117→\t\t\treturn\n   118→\n   119→\t\tcase job, ok := <-archiveChannel:\n   120→\t\t\tif !ok {\n   121→\t\t\t\tcclog.Info(\"Archive channel closed, worker exiting\")\n   122→\t\t\t\treturn\n   123→\t\t\t}\n   124→\n   125→\t\t\tstart := time.Now()\n   126→\t\t\t// not using meta data, called to load JobMeta into Cache?\n   127→\t\t\t// will fail if job meta not in repository\n   128→\t\t\tif _, err := jobRepo.FetchMetadata(job); err != nil {\n   129→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at check metadata step: %s\", *job.ID, err.Error())\n   130→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n   131→\t\t\t\tarchivePending.Done()\n   132→\t\t\t\tcontinue\n   133→\t\t\t}\n   134→\n   135→\t\t\t// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend\n   136→\t\t\t// Use shutdown context to allow cancellation\n   137→\t\t\tjobMeta, err := ArchiveJob(job, shutdownCtx)\n   138→\t\t\tif err != nil {\n   139→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at archiving job step: %s\", *job.ID, err.Error())\n   140→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n   141→\t\t\t\tarchivePending.Done()\n   142→\t\t\t\tcontinue\n   143→\t\t\t}\n   144→\n   145→\t\t\tstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\n   146→\n   147→\t\t\tif stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {\n   148→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Footprint step: %s\", *job.ID, err.Error())\n   149→\t\t\t\tarchivePending.Done()\n   150→\t\t\t\tcontinue\n   151→\t\t\t}\n   152→\t\t\tif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta); err != nil {\n   153→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Energy step: %s\", *job.ID, err.Error())\n   154→\t\t\t\tarchivePending.Done()\n   155→\t\t\t\tcontinue\n   156→\t\t\t}\n   157→\t\t\t// Update the jobs database entry one last time:\n   158→\t\t\tstmt = jobRepo.MarkArchived(stmt, schema.MonitoringStatusArchivingSuccessful)\n   159→\t\t\tif err := jobRepo.Execute(stmt); err != nil {\n   160→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at db execute: %s\", *job.ID, err.Error())\n   161→\t\t\t\tarchivePending.Done()\n   162→\t\t\t\tcontinue\n   163→\t\t\t}\n   164→\t\t\tcclog.Debugf(\"archiving job %d took %s\", job.JobID, time.Since(start))\n   165→\t\t\tcclog.Infof(\"archiving job (dbid: %d) successful\", *job.ID)\n   166→\n   167→\t\t\trepository.CallJobStopHooks(job)\n   168→\t\t\tarchivePending.Done()\n   169→\t\t}\n   170→\t}\n   171→}\n   172→\n   173→// TriggerArchiving queues a job for asynchronous archiving.\n   174→//\n   175→// This function should be called when a job completes (stops) to archive its\n   176→// metric data from the metric store to the configured archive backend.\n   177→//\n   178→// The function:\n   179→//  1. Increments the pending job counter (WaitGroup)\n   180→//  2. Sends the job to the archiving channel (buffered, capacity 128)\n   181→//  3. Returns immediately (non-blocking unless channel is full)\n   182→//\n   183→// The actual archiving is performed asynchronously by the worker goroutine.\n   184→// Upon completion, the worker will decrement the pending counter.\n   185→//\n   186→// Panics if Start() has not been called first.\n   187→func TriggerArchiving(job *schema.Job) {\n   188→\tif archiveChannel == nil {\n   189→\t\tcclog.Fatal(\"Cannot archive without archiving channel. Did you Start the archiver?\")\n   190→\t}\n   191→\n   192→\tarchivePending.Add(1)\n   193→\tarchiveChannel <- job\n   194→}\n   195→\n   196→// Shutdown performs a graceful shutdown of the archiver with a configurable timeout.\n   197→//\n   198→// The shutdown process:\n   199→//  1. Closes archiveChannel - no new jobs will be accepted\n   200→//  2. Waits for pending jobs to complete (up to timeout duration)\n   201→//  3. If timeout is exceeded:\n   202→//     - Cancels shutdownCtx to interrupt ongoing ArchiveJob operations\n   203→//     - Returns error indicating timeout\n   204→//  4. Waits for worker goroutine to exit cleanly\n   205→//\n   206→// Parameters:\n   207→//   - timeout: Maximum duration to wait for pending jobs to complete\n   208→//     (recommended: 10-30 seconds for production)\n   209→//\n   210→// Returns:\n   211→//   - nil if all jobs completed within timeout\n   212→//   - error if timeout was exceeded (some jobs may not have been archived)\n   213→//\n   214→// Jobs that don't complete within the timeout will be marked as failed.\n   215→// The function always ensures the worker goroutine exits before returning.\n   216→//\n   217→// Example:\n   218→//\n   219→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n   220→//\t    log.Printf(\"Some jobs did not complete: %v\", err)\n   221→//\t}\n   222→func Shutdown(timeout time.Duration) error {\n   223→\tcclog.Info(\"Initiating archiver shutdown...\")\n   224→\n   225→\t// Close channel to signal no more jobs will be accepted\n   226→\tclose(archiveChannel)\n   227→\n   228→\t// Create a channel to signal when all jobs are done\n   229→\tdone := make(chan struct{})\n   230→\tgo func() {\n   231→\t\tarchivePending.Wait()\n   232→\t\tclose(done)\n   233→\t}()\n   234→\n   235→\t// Wait for jobs to complete or timeout\n   236→\tselect {\n   237→\tcase <-done:\n   238→\t\tcclog.Info(\"All archive jobs completed successfully\")\n   239→\t\t// Wait for worker to exit\n   240→\t\t<-workerDone\n   241→\t\treturn nil\n   242→\tcase <-time.After(timeout):\n   243→\t\tcclog.Warn(\"Archiver shutdown timeout exceeded, cancelling remaining operations\")\n   244→\t\t// Cancel any ongoing operations\n   245→\t\tshutdownCancel()\n   246→\t\t// Wait for worker to exit\n   247→\t\t<-workerDone\n   248→\t\treturn fmt.Errorf(\"archiver shutdown timeout after %v\", timeout)\n   249→\t}\n   250→}\n   251→"}]},"uuid":"405ee9d5-6fd9-4bdf-bc8f-17596319c6ae","timestamp":"2026-03-16T10:18:55.304Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"b8c361a6-e42e-4f96-890f-e5833e6b9a23","timestamp":"2026-03-16T10:18:55.305Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"b8c361a6-e42e-4f96-890f-e5833e6b9a23","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JCpxD2KwaECyWX3YUBodAj","type":"tool_result","content":"<persisted-output>\nOutput too large (49.5KB). Full output saved to: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/3a41c7a4-abf8-484b-96ae-ee5618eea5ba/tool-results/REDACTED.txt\n\nPreview (first 2KB):\n     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package repository provides the data access layer for cc-backend using the repository pattern.\n     7→//\n     8→// The repository pattern abstracts database operations and provides a clean interface for\n     9→// data access. Each major entity (Job, User, Node, Tag) has its own repository with CRUD\n    10→// operations and specialized queries.\n    11→//\n    12→// # Database Connection\n    13→//\n    14→// Initialize the database connection before using any repository:\n    15→//\n    16→//\trepository.Connect(\"sqlite3\", \"./var/job.db\")\n    17→//\n    18→// # Configuration\n    19→//\n    20→// Optional: Configure repository settings before initialization:\n    21→//\n    22→//\trepository.SetConfig(&repository.RepositoryConfig{\n    23→//\t    CacheSize: 2 * 1024 * 1024,     // 2MB cache\n    24→//\t    MaxOpenConnections: 8,           // Connection pool size\n    25→//\t    MinRunningJobDuration: 300,      // Filter threshold\n    26→//\t})\n    27→//\n    28→// If not configured, sensible defaults are used automatically.\n    29→//\n    30→// # Repositories\n    31→//\n    32→//   - JobRepository: Job lifecycle management and querying\n    33→//   - UserRepository: User management and authentication\n    34→//   - NodeRepository: Cluster node state tracking\n    35→//   - Tags: Job tagging and categorization\n    36→//\n    37→// # Caching\n    38→//\n    39→// Repositories use LRU caching to improve performance. Cache keys are constructed\n    40→// as \"type:id\" (e.g., \"metadata:123\"). Cache is automatically invalidated on\n    41→// mutations to maintain consistency.\n    42→//\n    43→// # Transaction Support\n    44→//\n    45→// For batch operations, use transactions:\n    46→//\n    47→//\tt, err := jobRepo.TransactionInit()\n...\n</persisted-output>"}]},"uuid":"089401ce-0cb2-4e92-9555-abb914967adc","timestamp":"2026-03-16T10:18:55.322Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"f9e51b3f-c195-4177-ba1e-58db969e5f67","timestamp":"2026-03-16T10:18:55.323Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"fd320a15-6ab3-4edb-aff6-f0c9b486e533","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MQZmsnjqdmpxaaVKffBkSj","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"time\"\n    10→\n    11→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    14→\t\"github.com/go-co-op/gocron/v2\"\n    15→)\n    16→\n    17→func RegisterCompressionService(compressOlderThan int) {\n    18→\tcclog.Info(\"Register compression service\")\n    19→\n    20→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(5, 0, 0))),\n    21→\t\tgocron.NewTask(\n    22→\t\t\tfunc() {\n    23→\t\t\t\tvar jobs []*schema.Job\n    24→\t\t\t\tvar err error\n    25→\n    26→\t\t\t\tar := archive.GetHandle()\n    27→\t\t\t\tstartTime := time.Now().Unix() - int64(compressOlderThan*24*3600)\n    28→\t\t\t\tlastTime := ar.CompressLast(startTime)\n    29→\t\t\t\tif startTime == lastTime {\n    30→\t\t\t\t\tcclog.Info(\"Compression Service - Complete archive run\")\n    31→\t\t\t\t\tjobs, err = jobRepo.FindJobsBetween(0, startTime, \"none\")\n    32→\n    33→\t\t\t\t} else {\n    34→\t\t\t\t\tjobs, err = jobRepo.FindJobsBetween(lastTime, startTime, \"none\")\n    35→\t\t\t\t}\n    36→\n    37→\t\t\t\tif err != nil {\n    38→\t\t\t\t\tcclog.Warnf(\"Error while looking for compression jobs: %v\", err)\n    39→\t\t\t\t}\n    40→\t\t\t\tar.Compress(jobs)\n    41→\t\t\t}))\n    42→}\n    43→"}]},"uuid":"e8f53165-482b-4703-b747-9a21f952a933","timestamp":"2026-03-16T10:18:55.473Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"259bf582-dfdb-4a76-8d93-f5f999fa200a","timestamp":"2026-03-16T10:18:55.856Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"3cffaa12-8024-4952-893e-b91413d32eab","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013M6BNThre3DTv4Hwsj2Tcm","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"time\"\n    10→\n    11→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n    12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    13→\t\"github.com/go-co-op/gocron/v2\"\n    14→)\n    15→\n    16→func RegisterLdapSyncService(ds string) {\n    17→\tinterval, err := parseDuration(ds)\n    18→\tif err != nil {\n    19→\t\tcclog.Warnf(\"Could not parse duration for sync interval: %v\",\n    20→\t\t\tds)\n    21→\t\treturn\n    22→\t}\n    23→\n    24→\tauth := auth.GetAuthInstance()\n    25→\n    26→\tcclog.Infof(\"register ldap sync service with %s interval\", ds)\n    27→\n    28→\ts.NewJob(gocron.DurationJob(interval),\n    29→\t\tgocron.NewTask(\n    30→\t\t\tfunc() {\n    31→\t\t\t\tt := time.Now()\n    32→\t\t\t\tcclog.Infof(\"ldap sync started at %s\", t.Format(time.RFC3339))\n    33→\t\t\t\tif err := auth.LdapAuth.Sync(); err != nil {\n    34→\t\t\t\t\tcclog.Errorf(\"ldap sync failed: %s\", err.Error())\n    35→\t\t\t\t}\n    36→\t\t\t}))\n    37→}\n    38→"}]},"uuid":"1c60d702-e4b8-4cc4-ace0-ddc6515334ec","timestamp":"2026-03-16T10:18:55.874Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"2e01ca70-cb4a-4b2d-912e-798a03edb39b","timestamp":"2026-03-16T10:18:55.996Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"59f93677-f986-4c75-b29e-521a1699c568","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018XBW6RLSbwQd7oRNJo45a6","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"time\"\n    10→\n    11→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    12→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    13→\tpqarchive \"github.com/ClusterCockpit/cc-backend/pkg/archive/parquet\"\n    14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    15→\t\"github.com/go-co-op/gocron/v2\"\n    16→)\n    17→\n    18→func RegisterNodeStateRetentionDeleteService(ageHours int) {\n    19→\tcclog.Info(\"Register node state retention delete service\")\n    20→\n    21→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(2, 0, 0))),\n    22→\t\tgocron.NewTask(\n    23→\t\t\tfunc() {\n    24→\t\t\t\tcutoff := time.Now().Unix() - int64(ageHours*3600)\n    25→\t\t\t\tnodeRepo := repository.GetNodeRepository()\n    26→\t\t\t\tcnt, err := nodeRepo.DeleteNodeStatesBefore(cutoff)\n    27→\t\t\t\tif err != nil {\n    28→\t\t\t\t\tcclog.Errorf(\"NodeState retention: error deleting old rows: %v\", err)\n    29→\t\t\t\t} else if cnt > 0 {\n    30→\t\t\t\t\tcclog.Infof(\"NodeState retention: deleted %d old rows\", cnt)\n    31→\t\t\t\t}\n    32→\t\t\t}))\n    33→}\n    34→\n    35→func RegisterNodeStateRetentionMoveService(cfg *config.NodeStateRetention) {\n    36→\tcclog.Info(\"Register node state retention move service\")\n    37→\n    38→\tmaxFileSizeMB := cfg.MaxFileSizeMB\n    39→\tif maxFileSizeMB <= 0 {\n    40→\t\tmaxFileSizeMB = 128\n    41→\t}\n    42→\n    43→\tageHours := cfg.Age\n    44→\tif ageHours <= 0 {\n    45→\t\tageHours = 24\n    46→\t}\n    47→\n    48→\tvar target pqarchive.ParquetTarget\n    49→\tvar err error\n    50→\n    51→\tswitch cfg.TargetKind {\n    52→\tcase \"s3\":\n    53→\t\ttarget, err = pqarchive.NewS3Target(pqarchive.S3TargetConfig{\n    54→\t\t\tEndpoint:     cfg.TargetEndpoint,\n    55→\t\t\tBucket:       cfg.TargetBucket,\n    56→\t\t\tAccessKey:    cfg.TargetAccessKey,\n    57→\t\t\tSecretKey:    cfg.TargetSecretKey,\n    58→\t\t\tRegion:       cfg.TargetRegion,\n    59→\t\t\tUsePathStyle: cfg.TargetUsePathStyle,\n    60→\t\t})\n    61→\tdefault:\n    62→\t\ttarget, err = pqarchive.NewFileTarget(cfg.TargetPath)\n    63→\t}\n    64→\n    65→\tif err != nil {\n    66→\t\tcclog.Errorf(\"NodeState move retention: failed to create target: %v\", err)\n    67→\t\treturn\n    68→\t}\n    69→\n    70→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(2, 30, 0))),\n    71→\t\tgocron.NewTask(\n    72→\t\t\tfunc() {\n    73→\t\t\t\tcutoff := time.Now().Unix() - int64(ageHours*3600)\n    74→\t\t\t\tnodeRepo := repository.GetNodeRepository()\n    75→\n    76→\t\t\t\trows, err := nodeRepo.FindNodeStatesBefore(cutoff)\n    77→\t\t\t\tif err != nil {\n    78→\t\t\t\t\tcclog.Errorf(\"NodeState move retention: error finding rows: %v\", err)\n    79→\t\t\t\t\treturn\n    80→\t\t\t\t}\n    81→\t\t\t\tif len(rows) == 0 {\n    82→\t\t\t\t\treturn\n    83→\t\t\t\t}\n    84→\n    85→\t\t\t\tcclog.Infof(\"NodeState move retention: archiving %d rows\", len(rows))\n    86→\t\t\t\tpw := pqarchive.NewNodeStateParquetWriter(target, maxFileSizeMB)\n    87→\n    88→\t\t\t\tfor _, ns := range rows {\n    89→\t\t\t\t\trow := pqarchive.ParquetNodeStateRow{\n    90→\t\t\t\t\t\tTimeStamp:       ns.TimeStamp,\n    91→\t\t\t\t\t\tNodeState:       ns.NodeState,\n    92→\t\t\t\t\t\tHealthState:     ns.HealthState,\n    93→\t\t\t\t\t\tHealthMetrics:   ns.HealthMetrics,\n    94→\t\t\t\t\t\tCpusAllocated:   int32(ns.CpusAllocated),\n    95→\t\t\t\t\t\tMemoryAllocated: ns.MemoryAllocated,\n    96→\t\t\t\t\t\tGpusAllocated:   int32(ns.GpusAllocated),\n    97→\t\t\t\t\t\tJobsRunning:     int32(ns.JobsRunning),\n    98→\t\t\t\t\t\tHostname:        ns.Hostname,\n    99→\t\t\t\t\t\tCluster:         ns.Cluster,\n   100→\t\t\t\t\t\tSubCluster:      ns.SubCluster,\n   101→\t\t\t\t\t}\n   102→\t\t\t\t\tif err := pw.AddRow(row); err != nil {\n   103→\t\t\t\t\t\tcclog.Errorf(\"NodeState move retention: add row: %v\", err)\n   104→\t\t\t\t\t\tcontinue\n   105→\t\t\t\t\t}\n   106→\t\t\t\t}\n   107→\n   108→\t\t\t\tif err := pw.Close(); err != nil {\n   109→\t\t\t\t\tcclog.Errorf(\"NodeState move retention: close writer: %v\", err)\n   110→\t\t\t\t\treturn\n   111→\t\t\t\t}\n   112→\n   113→\t\t\t\tcnt, err := nodeRepo.DeleteNodeStatesBefore(cutoff)\n   114→\t\t\t\tif err != nil {\n   115→\t\t\t\t\tcclog.Errorf(\"NodeState move retention: error deleting rows: %v\", err)\n   116→\t\t\t\t} else {\n   117→\t\t\t\t\tcclog.Infof(\"NodeState move retention: deleted %d rows from db\", cnt)\n   118→\t\t\t\t}\n   119→\t\t\t}))\n   120→}\n   121→"}]},"uuid":"f9762894-9465-4606-966b-0a21d330a11f","timestamp":"2026-03-16T10:18:56.082Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"e1e25d1e-c7dc-441b-9712-fbf86018043c","timestamp":"2026-03-16T10:18:56.082Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"e1e25d1e-c7dc-441b-9712-fbf86018043c","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:56.784Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01SuYm9ETJD4ree6rxCAbJrq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PKJE6CV2D4pFHnZayvhwdS","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go","limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":13120,"cache_read_input_tokens":75153,"cache_creation":{"ephemeral_5m_input_tokens":13120,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b78f4sCfEkDxNjQumS","uuid":"194e08c0-ad26-4440-9b3e-74cae396fccc"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"ae566622-dd01-4566-aeba-40ddd690b103","timestamp":"2026-03-16T10:18:56.785Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"ae566622-dd01-4566-aeba-40ddd690b103","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PKJE6CV2D4pFHnZayvhwdS","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package archiver provides asynchronous job archiving functionality for ClusterCockpit.\n     7→//\n     8→// The archiver runs a background worker goroutine that processes job archiving requests\n     9→// from a buffered channel. When jobs complete, their metric data is archived from the\n    10→// metric store to the configured archive backend (filesystem, S3, etc.).\n    11→//\n    12→// # Architecture\n    13→//\n    14→// The archiver uses a producer-consumer pattern:\n    15→//   - Producer: TriggerArchiving() sends jobs to archiveChannel\n    16→//   - Consumer: archivingWorker() processes jobs from the channel\n    17→//   - Coordination: sync.WaitGroup tracks pending archive operations\n    18→//\n    19→// # Lifecycle\n    20→//\n    21→//  1. Start(repo, ctx) - Initialize worker with context for cancellation\n    22→//  2. TriggerArchiving(job) - Queue job for archiving (called when job stops)\n    23→//  3. archivingWorker() - Background goroutine processes jobs\n    24→//  4. Shutdown(timeout) - Graceful shutdown with timeout\n    25→//\n    26→// # Graceful Shutdown\n    27→//\n    28→// The archiver supports graceful shutdown with configurable timeout:\n    29→//   - Closes channel to reject new jobs\n    30→//   - Waits for pending jobs to complete (up to timeout)\n    31→//   - Cancels context if timeout exceeded\n    32→//   - Ensures worker goroutine exits cleanly\n    33→//\n    34→// # Example Usage\n    35→//\n    36→//\t// Initialize archiver\n    37→//\tctx, cancel := context.WithCancel(context.Background())\n    38→//\tdefer cancel()\n    39→//\tarchiver.Start(jobRepository, ctx)\n    40→//\n    41→//\t// Trigger archiving when job completes\n    42→//\tarchiver.TriggerArchiving(job)\n    43→//\n    44→//\t// Graceful shutdown with 10 second timeout\n    45→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n    46→//\t    log.Printf(\"Archiver shutdown timeout: %v\", err)\n    47→//\t}\n    48→package archiver\n    49→\n    50→import (\n    51→\t\"context\"\n    52→\t\"fmt\"\n    53→\t\"sync\"\n    54→\t\"time\"\n    55→\n    56→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    57→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    58→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    59→\tsq \"github.com/Masterminds/squirrel\"\n    60→)\n    61→\n    62→var (\n    63→\tarchivePending sync.WaitGroup\n    64→\tarchiveChannel chan *schema.Job\n    65→\tjobRepo        *repository.JobRepository\n    66→\tshutdownCtx    context.Context\n    67→\tshutdownCancel context.CancelFunc\n    68→\tworkerDone     chan struct{}\n    69→)\n    70→\n    71→// Start initializes the archiver and starts the background worker goroutine.\n    72→//\n    73→// The archiver processes job archiving requests asynchronously via a buffered channel.\n    74→// Jobs are sent to the channel using TriggerArchiving() and processed by the worker.\n    75→//\n    76→// Parameters:\n    77→//   - r: JobRepository instance for database operations\n    78→//   - ctx: Context for cancellation (shutdown signal propagation)\n    79→//\n    80→// The worker goroutine will run until:\n    81→//   - ctx is cancelled (via parent shutdown)\n    82→//   - archiveChannel is closed (via Shutdown())\n    83→//\n    84→// Must be called before TriggerArchiving(). Safe to call only once.\n    85→func Start(r *repository.JobRepository, ctx context.Context) {\n    86→\tshutdownCtx, shutdownCancel = context.WithCancel(ctx)\n    87→\tarchiveChannel = make(chan *schema.Job, 128)\n    88→\tworkerDone = make(chan struct{})\n    89→\tjobRepo = r\n    90→\n    91→\tgo archivingWorker()\n    92→}\n    93→\n    94→// archivingWorker is the background goroutine that processes job archiving requests.\n    95→//\n    96→// The worker loop:\n    97→//  1. Blocks waiting for jobs on archiveChannel or shutdown signal\n    98→//  2. Fetches job metadata from repository\n    99→//  3. Archives job data to configured backend (calls ArchiveJob)\n   100→//  4. Updates job footprint and energy metrics in database\n   101→//  5. Marks job as successfully archived\n   102→//  6. Calls job stop hooks\n   103→//\n   104→// The worker exits when:\n   105→//   - shutdownCtx is cancelled (timeout during shutdown)\n   106→//   - archiveChannel is closed (normal shutdown)\n   107→//\n   108→// Errors during archiving are logged and the job is marked as failed,\n   109→// but the worker continues processing other jobs.\n   110→func archivingWorker() {\n   111→\tdefer close(workerDone)\n   112→\n   113→\tfor {\n   114→\t\tselect {\n   115→\t\tcase <-shutdownCtx.Done():\n   116→\t\t\tcclog.Info(\"Archive worker received shutdown signal\")\n   117→\t\t\treturn\n   118→\n   119→\t\tcase job, ok := <-archiveChannel:\n   120→\t\t\tif !ok {\n   121→\t\t\t\tcclog.Info(\"Archive channel closed, worker exiting\")\n   122→\t\t\t\treturn\n   123→\t\t\t}\n   124→\n   125→\t\t\tstart := time.Now()\n   126→\t\t\t// not using meta data, called to load JobMeta into Cache?\n   127→\t\t\t// will fail if job meta not in repository\n   128→\t\t\tif _, err := jobRepo.FetchMetadata(job); err != nil {\n   129→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at check metadata step: %s\", *job.ID, err.Error())\n   130→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n   131→\t\t\t\tarchivePending.Done()\n   132→\t\t\t\tcontinue\n   133→\t\t\t}\n   134→\n   135→\t\t\t// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend\n   136→\t\t\t// Use shutdown context to allow cancellation\n   137→\t\t\tjobMeta, err := ArchiveJob(job, shutdownCtx)\n   138→\t\t\tif err != nil {\n   139→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at archiving job step: %s\", *job.ID, err.Error())\n   140→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n   141→\t\t\t\tarchivePending.Done()\n   142→\t\t\t\tcontinue\n   143→\t\t\t}\n   144→\n   145→\t\t\tstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\n   146→\n   147→\t\t\tif stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {\n   148→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Footprint step: %s\", *job.ID, err.Error())\n   149→\t\t\t\tarchivePending.Done()\n   150→\t\t\t\tcontinue"}]},"uuid":"6d86fae3-2604-4302-a1b1-5ca9072c68a7","timestamp":"2026-03-16T10:18:56.805Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"5cc95228-d2e3-4346-b5d6-c0bccc966e9a","timestamp":"2026-03-16T10:18:56.999Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"5cc95228-d2e3-4346-b5d6-c0bccc966e9a","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:57.060Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01SuYm9ETJD4ree6rxCAbJrq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BCix2A6sVowtVAWUTzyezG","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go","limit":200},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":13120,"cache_read_input_tokens":75153,"cache_creation":{"ephemeral_5m_input_tokens":13120,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b78f4sCfEkDxNjQumS","uuid":"d6a67665-3003-4c6d-bf9d-60368843aaba"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"d45047d6-95bc-473b-9ab4-4da9b5bb4c00","timestamp":"2026-03-16T10:18:57.060Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d45047d6-95bc-473b-9ab4-4da9b5bb4c00","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BCix2A6sVowtVAWUTzyezG","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package importer\n     7→\n     8→import (\n     9→\t\"bytes\"\n    10→\t\"encoding/json\"\n    11→\t\"fmt\"\n    12→\t\"os\"\n    13→\t\"strings\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    19→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    20→)\n    21→\n    22→// HandleImportFlag imports jobs from file pairs specified in a comma-separated flag string.\n    23→//\n    24→// The flag format is: \"<path-to-meta.json>:<path-to-data.json>[,<path-to-meta2.json>:<path-to-data2.json>,...]\"\n    25→//\n    26→// For each job pair, this function:\n    27→//  1. Reads and validates the metadata JSON file (schema.Job)\n    28→//  2. Reads and validates the job data JSON file (schema.JobData)\n    29→//  3. Enriches the job with calculated footprints and energy metrics\n    30→//  4. Validates the job using SanityChecks()\n    31→//  5. Imports the job into the archive\n    32→//  6. Inserts the job into the database with associated tags\n    33→//\n    34→// Schema validation is performed if config.Keys.Validate is true.\n    35→//\n    36→// Returns an error if file reading, validation, enrichment, or database operations fail.\n    37→// The function stops processing on the first error encountered.\n    38→func HandleImportFlag(flag string) error {\n    39→\tr := repository.GetJobRepository()\n    40→\n    41→\tfor pair := range strings.SplitSeq(flag, \",\") {\n    42→\t\tfiles := strings.Split(pair, \":\")\n    43→\t\tif len(files) != 2 {\n    44→\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > invalid import flag format\")\n    45→\t\t}\n    46→\n    47→\t\traw, err := os.ReadFile(files[0])\n    48→\t\tif err != nil {\n    49→\t\t\tcclog.Warn(\"Error while reading metadata file for import\")\n    50→\t\t\treturn err\n    51→\t\t}\n    52→\n    53→\t\tif config.Keys.Validate {\n    54→\t\t\tif err = schema.Validate(schema.Meta, bytes.NewReader(raw)); err != nil {\n    55→\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job meta: %v\", err)\n    56→\t\t\t}\n    57→\t\t}\n    58→\t\tdec := json.NewDecoder(bytes.NewReader(raw))\n    59→\t\tdec.DisallowUnknownFields()\n    60→\t\tjob := schema.Job{\n    61→\t\t\tShared:           \"none\",\n    62→\t\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n    63→\t\t}\n    64→\t\tif err = dec.Decode(&job); err != nil {\n    65→\t\t\tcclog.Warn(\"Error while decoding raw json metadata for import\")\n    66→\t\t\treturn err\n    67→\t\t}\n    68→\n    69→\t\traw, err = os.ReadFile(files[1])\n    70→\t\tif err != nil {\n    71→\t\t\tcclog.Warn(\"Error while reading jobdata file for import\")\n    72→\t\t\treturn err\n    73→\t\t}\n    74→\n    75→\t\tif config.Keys.Validate {\n    76→\t\t\tif err = schema.Validate(schema.Data, bytes.NewReader(raw)); err != nil {\n    77→\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job data: %v\", err)\n    78→\t\t\t}\n    79→\t\t}\n    80→\t\tdec = json.NewDecoder(bytes.NewReader(raw))\n    81→\t\tdec.DisallowUnknownFields()\n    82→\t\tjobData := schema.JobData{}\n    83→\t\tif err = dec.Decode(&jobData); err != nil {\n    84→\t\t\tcclog.Warn(\"Error while decoding raw json jobdata for import\")\n    85→\t\t\treturn err\n    86→\t\t}\n    87→\n    88→\t\tjob.MonitoringStatus = schema.MonitoringStatusArchivingSuccessful\n    89→\n    90→\t\tif err = enrichJobMetadata(&job); err != nil {\n    91→\t\t\tcclog.Errorf(\"Error enriching job metadata: %v\", err)\n    92→\t\t\treturn err\n    93→\t\t}\n    94→\n    95→\t\tif err = SanityChecks(&job); err != nil {\n    96→\t\t\tcclog.Warn(\"BaseJob SanityChecks failed\")\n    97→\t\t\treturn err\n    98→\t\t}\n    99→\n   100→\t\tif err = archive.GetHandle().ImportJob(&job, &jobData); err != nil {\n   101→\t\t\tcclog.Error(\"Error while importing job\")\n   102→\t\t\treturn err\n   103→\t\t}\n   104→\n   105→\t\tid, err := r.InsertJobDirect(&job)\n   106→\t\tif err != nil {\n   107→\t\t\tcclog.Warn(\"Error while job db insert\")\n   108→\t\t\treturn err\n   109→\t\t}\n   110→\n   111→\t\tfor _, tag := range job.Tags {\n   112→\t\t\tif err := r.ImportTag(id, tag.Type, tag.Name, tag.Scope); err != nil {\n   113→\t\t\t\tcclog.Error(\"Error while adding or creating tag on import\")\n   114→\t\t\t\treturn err\n   115→\t\t\t}\n   116→\t\t}\n   117→\n   118→\t\tcclog.Infof(\"successfully imported a new job (jobId: %d, cluster: %s, dbid: %d)\", job.JobID, job.Cluster, id)\n   119→\t}\n   120→\treturn nil\n   121→}\n   122→"}]},"uuid":"ca22fa68-3ed2-48a6-821f-5cc1b1f22757","timestamp":"2026-03-16T10:18:57.071Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"31d0c38a-bfcb-4bc0-bfda-d6872b326b0e","timestamp":"2026-03-16T10:18:57.073Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"31d0c38a-bfcb-4bc0-bfda-d6872b326b0e","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:57.080Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Lrz8ddRNW1dyYzAgLt2a4e","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FPFctn7YD2bboFg9SPrNnU","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiver.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3395,"cache_creation_input_tokens":15343,"cache_read_input_tokens":18964,"cache_creation":{"ephemeral_5m_input_tokens":15343,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7KMFmx3TqednMpmZn","uuid":"558e9215-f4cd-48cd-9bbd-41a1b069f026"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"1f7e6571-ade8-4ef3-b024-9b6093bffec6","timestamp":"2026-03-16T10:18:57.080Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"1f7e6571-ade8-4ef3-b024-9b6093bffec6","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FPFctn7YD2bboFg9SPrNnU","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package archiver\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"math\"\n    11→\n    12→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    13→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    15→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    16→)\n    17→\n    18→// ArchiveJob archives a completed job's metric data to the configured archive backend.\n    19→//\n    20→// This function performs the following operations:\n    21→//  1. Loads all metric data for the job from the metric data repository\n    22→//  2. Calculates job-level statistics (avg, min, max) for each metric\n    23→//  3. Stores the job metadata and metric data to the archive backend\n    24→//\n    25→// Metric data is retrieved at the highest available resolution (typically 60s)\n    26→// for the following scopes:\n    27→//   - Node scope (always)\n    28→//   - Core scope (for jobs with ≤8 nodes, to reduce data volume)\n    29→//   - Accelerator scope (if job used accelerators)\n    30→//\n    31→// The function respects context cancellation. If ctx is cancelled (e.g., during\n    32→// shutdown timeout), the operation will be interrupted and return an error.\n    33→//\n    34→// Parameters:\n    35→//   - job: The job to archive (must be a completed job)\n    36→//   - ctx: Context for cancellation and timeout control\n    37→//\n    38→// Returns:\n    39→//   - *schema.Job with populated Statistics field\n    40→//   - error if data loading or archiving fails\n    41→//\n    42→// If config.Keys.DisableArchive is true, only job statistics are calculated\n    43→// and returned (no data is written to archive backend).\n    44→func ArchiveJob(job *schema.Job, ctx context.Context) (*schema.Job, error) {\n    45→\tallMetrics := make([]string, 0)\n    46→\tmetricConfigs := archive.GetCluster(job.Cluster).MetricConfig\n    47→\tfor _, mc := range metricConfigs {\n    48→\t\tallMetrics = append(allMetrics, mc.Name)\n    49→\t}\n    50→\n    51→\tscopes := []schema.MetricScope{schema.MetricScopeNode}\n    52→\t// FIXME: Add a config option for this\n    53→\tif job.NumNodes <= 8 {\n    54→\t\t// This will add the native scope if core scope is not available\n    55→\t\tscopes = append(scopes, schema.MetricScopeCore)\n    56→\t}\n    57→\n    58→\tif job.NumAcc > 0 {\n    59→\t\tscopes = append(scopes, schema.MetricScopeAccelerator)\n    60→\t}\n    61→\n    62→\tjobData, err := metricdispatch.LoadData(job, allMetrics, scopes, ctx, 0) // 0 Resulotion-Value retrieves highest res (60s)\n    63→\tif err != nil {\n    64→\t\tcclog.Error(\"Error wile loading job data for archiving\")\n    65→\t\treturn nil, err\n    66→\t}\n    67→\n    68→\tjob.Statistics = make(map[string]schema.JobStatistics)\n    69→\n    70→\tfor metric, data := range jobData {\n    71→\t\tavg, min, max := 0.0, math.MaxFloat32, -math.MaxFloat32\n    72→\t\tnodeData, ok := data[\"node\"]\n    73→\t\tif !ok {\n    74→\t\t\t// This should never happen ?\n    75→\t\t\tcontinue\n    76→\t\t}\n    77→\n    78→\t\tfor _, series := range nodeData.Series {\n    79→\t\t\tavg += series.Statistics.Avg\n    80→\t\t\tmin = math.Min(min, series.Statistics.Min)\n    81→\t\t\tmax = math.Max(max, series.Statistics.Max)\n    82→\t\t}\n    83→\n    84→\t\t// Round AVG Result to 2 Digits\n    85→\t\tjob.Statistics[metric] = schema.JobStatistics{\n    86→\t\t\tUnit: schema.Unit{\n    87→\t\t\t\tPrefix: archive.GetMetricConfig(job.Cluster, metric).Unit.Prefix,\n    88→\t\t\t\tBase:   archive.GetMetricConfig(job.Cluster, metric).Unit.Base,\n    89→\t\t\t},\n    90→\t\t\tAvg: (math.Round((avg/float64(job.NumNodes))*100) / 100),\n    91→\t\t\tMin: min,\n    92→\t\t\tMax: max,\n    93→\t\t}\n    94→\t}\n    95→\n    96→\treturn job, archive.GetHandle().ImportJob(job, &jobData)\n    97→}\n    98→"}]},"uuid":"0f97dce8-97fa-47db-8e68-42c8ecf0394e","timestamp":"2026-03-16T10:18:57.083Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"6859b3f5-7744-4937-a42d-9a53bf815a8d","timestamp":"2026-03-16T10:18:57.083Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"6859b3f5-7744-4937-a42d-9a53bf815a8d","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:57.329Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01SuYm9ETJD4ree6rxCAbJrq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011rJJPwd34bsw3YNZxcu7rN","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/initDB.go","limit":200},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":13120,"cache_read_input_tokens":75153,"cache_creation":{"ephemeral_5m_input_tokens":13120,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b78f4sCfEkDxNjQumS","uuid":"d77736fa-a88d-4307-95f5-09fbe08a2e5b"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"c56a655c-046a-48f4-8d7b-8994f6d6d536","timestamp":"2026-03-16T10:18:57.330Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"c56a655c-046a-48f4-8d7b-8994f6d6d536","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011rJJPwd34bsw3YNZxcu7rN","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package importer provides functionality for importing job data into the ClusterCockpit database.\n     7→//\n     8→// The package supports two primary use cases:\n     9→//  1. Bulk database initialization from archived jobs via InitDB()\n    10→//  2. Individual job import from file pairs via HandleImportFlag()\n    11→//\n    12→// Both operations enrich job metadata by calculating footprints and energy metrics\n    13→// before persisting to the database.\n    14→package importer\n    15→\n    16→import (\n    17→\t\"encoding/json\"\n    18→\t\"fmt\"\n    19→\t\"math\"\n    20→\t\"strings\"\n    21→\t\"time\"\n    22→\n    23→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    24→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    25→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    26→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    27→)\n    28→\n    29→const (\n    30→\taddTagQuery = \"INSERT INTO tag (tag_name, tag_type) VALUES (?, ?)\"\n    31→\tsetTagQuery = \"INSERT INTO jobtag (job_id, tag_id) VALUES (?, ?)\"\n    32→)\n    33→\n    34→// InitDB reinitializes the job database from archived job data.\n    35→//\n    36→// This function performs the following operations:\n    37→//  1. Flushes existing job, tag, and jobtag tables\n    38→//  2. Iterates through all jobs in the archive\n    39→//  3. Enriches each job with calculated footprints and energy metrics\n    40→//  4. Inserts jobs and tags into the database in batched transactions\n    41→//\n    42→// Jobs are processed in batches of 100 for optimal performance. The function\n    43→// continues processing even if individual jobs fail, logging errors and\n    44→// returning a summary at the end.\n    45→//\n    46→// Returns an error if database initialization, transaction management, or\n    47→// critical operations fail. Individual job failures are logged but do not\n    48→// stop the overall import process.\n    49→func InitDB() error {\n    50→\tr := repository.GetJobRepository()\n    51→\tif err := r.Flush(); err != nil {\n    52→\t\tcclog.Errorf(\"repository initDB(): %v\", err)\n    53→\t\treturn err\n    54→\t}\n    55→\tstarttime := time.Now()\n    56→\tcclog.Print(\"Building job table...\")\n    57→\n    58→\tt, err := r.TransactionInit()\n    59→\tif err != nil {\n    60→\t\tcclog.Warn(\"Error while initializing SQL transactions\")\n    61→\t\treturn err\n    62→\t}\n    63→\ttags := make(map[string]int64)\n    64→\n    65→\t// Not using cclog.Print because we want the line to end with `\\r` and\n    66→\t// this function is only ever called when a special command line flag\n    67→\t// is passed anyways.\n    68→\tfmt.Printf(\"%d jobs inserted...\\r\", 0)\n    69→\n    70→\tar := archive.GetHandle()\n    71→\ti := 0\n    72→\terrorOccured := 0\n    73→\n    74→\tfor jobContainer := range ar.Iter(false) {\n    75→\n    76→\t\tjobMeta := jobContainer.Meta\n    77→\t\tif jobMeta == nil {\n    78→\t\t\tcclog.Warn(\"skipping job with nil metadata\")\n    79→\t\t\terrorOccured++\n    80→\t\t\tcontinue\n    81→\t\t}\n    82→\n    83→\t\t// Bundle 100 inserts into one transaction for better performance\n    84→\t\tif i%100 == 0 {\n    85→\t\t\tif i > 0 {\n    86→\t\t\t\tif err := t.Commit(); err != nil {\n    87→\t\t\t\t\tcclog.Errorf(\"transaction commit error: %v\", err)\n    88→\t\t\t\t\treturn err\n    89→\t\t\t\t}\n    90→\t\t\t\t// Start a new transaction for the next batch\n    91→\t\t\t\tt, err = r.TransactionInit()\n    92→\t\t\t\tif err != nil {\n    93→\t\t\t\t\tcclog.Errorf(\"transaction init error: %v\", err)\n    94→\t\t\t\t\treturn err\n    95→\t\t\t\t}\n    96→\t\t\t}\n    97→\t\t\tfmt.Printf(\"%d jobs inserted...\\r\", i)\n    98→\t\t}\n    99→\n   100→\t\tjobMeta.MonitoringStatus = schema.MonitoringStatusArchivingSuccessful\n   101→\n   102→\t\tif err := enrichJobMetadata(jobMeta); err != nil {\n   103→\t\t\tcclog.Errorf(\"repository initDB(): %v\", err)\n   104→\t\t\terrorOccured++\n   105→\t\t\tcontinue\n   106→\t\t}\n   107→\n   108→\t\tif err := SanityChecks(jobMeta); err != nil {\n   109→\t\t\tcclog.Errorf(\"repository initDB(): %v\", err)\n   110→\t\t\terrorOccured++\n   111→\t\t\tcontinue\n   112→\t\t}\n   113→\n   114→\t\tid, jobErr := r.TransactionAddNamed(t,\n   115→\t\t\trepository.NamedJobInsert, jobMeta)\n   116→\t\tif jobErr != nil {\n   117→\t\t\tcclog.Errorf(\"repository initDB(): %v\", jobErr)\n   118→\t\t\terrorOccured++\n   119→\t\t\tcontinue\n   120→\t\t}\n   121→\n   122→\t\t// Job successfully inserted, increment counter\n   123→\t\ti += 1\n   124→\n   125→\t\tfor _, tag := range jobMeta.Tags {\n   126→\t\t\ttagstr := tag.Name + \":\" + tag.Type\n   127→\t\t\ttagID, ok := tags[tagstr]\n   128→\t\t\tif !ok {\n   129→\t\t\t\tvar err error\n   130→\t\t\t\ttagID, err = r.TransactionAdd(t,\n   131→\t\t\t\t\taddTagQuery,\n   132→\t\t\t\t\ttag.Name, tag.Type)\n   133→\t\t\t\tif err != nil {\n   134→\t\t\t\t\tcclog.Errorf(\"Error adding tag: %v\", err)\n   135→\t\t\t\t\terrorOccured++\n   136→\t\t\t\t\tcontinue\n   137→\t\t\t\t}\n   138→\t\t\t\ttags[tagstr] = tagID\n   139→\t\t\t}\n   140→\n   141→\t\t\tr.TransactionAdd(t,\n   142→\t\t\t\tsetTagQuery,\n   143→\t\t\t\tid, tagID)\n   144→\t\t}\n   145→\t}\n   146→\n   147→\tif errorOccured > 0 {\n   148→\t\tcclog.Warnf(\"Error in import of %d jobs!\", errorOccured)\n   149→\t}\n   150→\n   151→\tr.TransactionEnd(t)\n   152→\tcclog.Infof(\"A total of %d jobs have been registered in %.3f seconds.\", i, time.Since(starttime).Seconds())\n   153→\treturn nil\n   154→}\n   155→\n   156→// enrichJobMetadata calculates and populates job footprints, energy metrics, and serialized fields.\n   157→//\n   158→// This function performs the following enrichment operations:\n   159→//  1. Calculates job footprint metrics based on the subcluster configuration\n   160→//  2. Computes energy footprint and total energy consumption in kWh\n   161→//  3. Marshals footprints, resources, and metadata into JSON for database storage\n   162→//\n   163→// The function expects the job's MonitoringStatus and SubCluster to be already set.\n   164→// Energy calculations convert power metrics (Watts) to energy (kWh) using the formula:\n   165→//\n   166→//\tEnergy (kWh) = (Power (W) * Duration (s) / 3600) / 1000\n   167→//\n   168→// Returns an error if subcluster retrieval, metric indexing, or JSON marshaling fails.\n   169→func enrichJobMetadata(job *schema.Job) error {\n   170→\tsc, err := archive.GetSubCluster(job.Cluster, job.SubCluster)\n   171→\tif err != nil {\n   172→\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())\n   173→\t\treturn err\n   174→\t}\n   175→\n   176→\tjob.Footprint = make(map[string]float64)\n   177→\n   178→\tfor _, fp := range sc.Footprint {\n   179→\t\tstatType := \"avg\"\n   180→\n   181→\t\tif i, err := archive.MetricIndex(sc.MetricConfig, fp); err != nil {\n   182→\t\t\tstatType = sc.MetricConfig[i].Footprint\n   183→\t\t}\n   184→\n   185→\t\tname := fmt.Sprintf(\"%s_%s\", fp, statType)\n   186→\n   187→\t\tjob.Footprint[name] = repository.LoadJobStat(job, fp, statType)\n   188→\t}\n   189→\n   190→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   191→\tif err != nil {\n   192→\t\tcclog.Warn(\"Error while marshaling job footprint\")\n   193→\t\treturn err\n   194→\t}\n   195→\n   196→\tjob.EnergyFootprint = make(map[string]float64)\n   197→\n   198→\t// Total Job Energy Outside Loop\n   199→\ttotalEnergy := 0.0\n   200→\tfor _, fp := range sc.EnergyFootprint {"}]},"uuid":"4407068c-6ca3-426f-88f7-c521c21cd0a5","timestamp":"2026-03-16T10:18:57.345Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"d9c88ef0-c3f8-42c4-9dd2-3a8da84fc718","timestamp":"2026-03-16T10:18:57.350Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"aa891431-52a8-45b4-9c57-2437200dddf9","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012EPYaVpBxKQ7QQCci4VrHf","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package importer\n     7→\n     8→import (\n     9→\t\"bytes\"\n    10→\t\"encoding/json\"\n    11→\t\"fmt\"\n    12→\t\"os\"\n    13→\t\"strings\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    19→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    20→)\n    21→\n    22→// HandleImportFlag imports jobs from file pairs specified in a comma-separated flag string.\n    23→//\n    24→// The flag format is: \"<path-to-meta.json>:<path-to-data.json>[,<path-to-meta2.json>:<path-to-data2.json>,...]\"\n    25→//\n    26→// For each job pair, this function:\n    27→//  1. Reads and validates the metadata JSON file (schema.Job)\n    28→//  2. Reads and validates the job data JSON file (schema.JobData)\n    29→//  3. Enriches the job with calculated footprints and energy metrics\n    30→//  4. Validates the job using SanityChecks()\n    31→//  5. Imports the job into the archive\n    32→//  6. Inserts the job into the database with associated tags\n    33→//\n    34→// Schema validation is performed if config.Keys.Validate is true.\n    35→//\n    36→// Returns an error if file reading, validation, enrichment, or database operations fail.\n    37→// The function stops processing on the first error encountered.\n    38→func HandleImportFlag(flag string) error {\n    39→\tr := repository.GetJobRepository()\n    40→\n    41→\tfor pair := range strings.SplitSeq(flag, \",\") {\n    42→\t\tfiles := strings.Split(pair, \":\")\n    43→\t\tif len(files) != 2 {\n    44→\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > invalid import flag format\")\n    45→\t\t}\n    46→\n    47→\t\traw, err := os.ReadFile(files[0])\n    48→\t\tif err != nil {\n    49→\t\t\tcclog.Warn(\"Error while reading metadata file for import\")\n    50→\t\t\treturn err\n    51→\t\t}\n    52→\n    53→\t\tif config.Keys.Validate {\n    54→\t\t\tif err = schema.Validate(schema.Meta, bytes.NewReader(raw)); err != nil {\n    55→\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job meta: %v\", err)\n    56→\t\t\t}\n    57→\t\t}\n    58→\t\tdec := json.NewDecoder(bytes.NewReader(raw))\n    59→\t\tdec.DisallowUnknownFields()\n    60→\t\tjob := schema.Job{\n    61→\t\t\tShared:           \"none\",\n    62→\t\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n    63→\t\t}\n    64→\t\tif err = dec.Decode(&job); err != nil {\n    65→\t\t\tcclog.Warn(\"Error while decoding raw json metadata for import\")\n    66→\t\t\treturn err\n    67→\t\t}\n    68→\n    69→\t\traw, err = os.ReadFile(files[1])\n    70→\t\tif err != nil {\n    71→\t\t\tcclog.Warn(\"Error while reading jobdata file for import\")\n    72→\t\t\treturn err\n    73→\t\t}\n    74→\n    75→\t\tif config.Keys.Validate {\n    76→\t\t\tif err = schema.Validate(schema.Data, bytes.NewReader(raw)); err != nil {\n    77→\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job data: %v\", err)\n    78→\t\t\t}\n    79→\t\t}\n    80→\t\tdec = json.NewDecoder(bytes.NewReader(raw))\n    81→\t\tdec.DisallowUnknownFields()\n    82→\t\tjobData := schema.JobData{}\n    83→\t\tif err = dec.Decode(&jobData); err != nil {\n    84→\t\t\tcclog.Warn(\"Error while decoding raw json jobdata for import\")\n    85→\t\t\treturn err\n    86→\t\t}\n    87→\n    88→\t\tjob.MonitoringStatus = schema.MonitoringStatusArchivingSuccessful\n    89→\n    90→\t\tif err = enrichJobMetadata(&job); err != nil {\n    91→\t\t\tcclog.Errorf(\"Error enriching job metadata: %v\", err)\n    92→\t\t\treturn err\n    93→\t\t}\n    94→\n    95→\t\tif err = SanityChecks(&job); err != nil {\n    96→\t\t\tcclog.Warn(\"BaseJob SanityChecks failed\")\n    97→\t\t\treturn err\n    98→\t\t}\n    99→\n   100→\t\tif err = archive.GetHandle().ImportJob(&job, &jobData); err != nil {\n   101→\t\t\tcclog.Error(\"Error while importing job\")\n   102→\t\t\treturn err\n   103→\t\t}\n   104→\n   105→\t\tid, err := r.InsertJobDirect(&job)\n   106→\t\tif err != nil {\n   107→\t\t\tcclog.Warn(\"Error while job db insert\")\n   108→\t\t\treturn err\n   109→\t\t}\n   110→\n   111→\t\tfor _, tag := range job.Tags {\n   112→\t\t\tif err := r.ImportTag(id, tag.Type, tag.Name, tag.Scope); err != nil {\n   113→\t\t\t\tcclog.Error(\"Error while adding or creating tag on import\")\n   114→\t\t\t\treturn err\n   115→\t\t\t}\n   116→\t\t}\n   117→\n   118→\t\tcclog.Infof(\"successfully imported a new job (jobId: %d, cluster: %s, dbid: %d)\", job.JobID, job.Cluster, id)\n   119→\t}\n   120→\treturn nil\n   121→}\n   122→"}]},"uuid":"caa6d023-db8d-45b7-9f8b-bcecf261ee9b","timestamp":"2026-03-16T10:18:58.372Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"f82f0dfd-9389-4aef-aa4b-03c9867b17ea","timestamp":"2026-03-16T10:18:58.392Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"093a7028-5f48-4791-8f33-45b30221ba4e","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WGYVBFCWU9MaBcsSh2v6TC","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package repository\n     6→\n     7→import (\n     8→\t\"fmt\"\n     9→\n    10→\t\"github.com/jmoiron/sqlx\"\n    11→)\n    12→\n    13→// Transaction wraps a database transaction for job-related operations.\n    14→type Transaction struct {\n    15→\ttx *sqlx.Tx\n    16→}\n    17→\n    18→// TransactionInit begins a new transaction.\n    19→func (r *JobRepository) TransactionInit() (*Transaction, error) {\n    20→\ttx, err := r.DB.Beginx()\n    21→\tif err != nil {\n    22→\t\treturn nil, fmt.Errorf(\"beginning transaction: %w\", err)\n    23→\t}\n    24→\treturn &Transaction{tx: tx}, nil\n    25→}\n    26→\n    27→// Commit commits the transaction.\n    28→// After calling Commit, the transaction should not be used again.\n    29→func (t *Transaction) Commit() error {\n    30→\tif t.tx == nil {\n    31→\t\treturn fmt.Errorf(\"transaction already committed or rolled back\")\n    32→\t}\n    33→\terr := t.tx.Commit()\n    34→\tt.tx = nil // Mark as completed\n    35→\tif err != nil {\n    36→\t\treturn fmt.Errorf(\"committing transaction: %w\", err)\n    37→\t}\n    38→\treturn nil\n    39→}\n    40→\n    41→// Rollback rolls back the transaction.\n    42→// It's safe to call Rollback on an already committed or rolled back transaction.\n    43→func (t *Transaction) Rollback() error {\n    44→\tif t.tx == nil {\n    45→\t\treturn nil // Already committed/rolled back\n    46→\t}\n    47→\terr := t.tx.Rollback()\n    48→\tt.tx = nil // Mark as completed\n    49→\tif err != nil {\n    50→\t\treturn fmt.Errorf(\"rolling back transaction: %w\", err)\n    51→\t}\n    52→\treturn nil\n    53→}\n    54→\n    55→// TransactionEnd commits the transaction.\n    56→// Deprecated: Use Commit() instead.\n    57→func (r *JobRepository) TransactionEnd(t *Transaction) error {\n    58→\treturn t.Commit()\n    59→}\n    60→\n    61→// TransactionAddNamed executes a named query within the transaction.\n    62→func (r *JobRepository) TransactionAddNamed(\n    63→\tt *Transaction,\n    64→\tquery string,\n    65→\targs ...any,\n    66→) (int64, error) {\n    67→\tif t.tx == nil {\n    68→\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n    69→\t}\n    70→\n    71→\tres, err := t.tx.NamedExec(query, args)\n    72→\tif err != nil {\n    73→\t\treturn 0, fmt.Errorf(\"named exec: %w\", err)\n    74→\t}\n    75→\n    76→\tid, err := res.LastInsertId()\n    77→\tif err != nil {\n    78→\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n    79→\t}\n    80→\n    81→\treturn id, nil\n    82→}\n    83→\n    84→// TransactionAdd executes a query within the transaction.\n    85→func (r *JobRepository) TransactionAdd(t *Transaction, query string, args ...any) (int64, error) {\n    86→\tif t.tx == nil {\n    87→\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n    88→\t}\n    89→\n    90→\tres, err := t.tx.Exec(query, args...)\n    91→\tif err != nil {\n    92→\t\treturn 0, fmt.Errorf(\"exec: %w\", err)\n    93→\t}\n    94→\n    95→\tid, err := res.LastInsertId()\n    96→\tif err != nil {\n    97→\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n    98→\t}\n    99→\n   100→\treturn id, nil\n   101→}\n   102→"}]},"uuid":"12ed7ae8-b6d8-46d9-bea3-1bb398d27b5f","timestamp":"2026-03-16T10:18:58.648Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"49d9c229-1f03-4e86-9428-b566dcbfe494","timestamp":"2026-03-16T10:18:58.689Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"49d9c229-1f03-4e86-9428-b566dcbfe494","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ALrm85FgoGJsoVYUDaZvMd","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package api provides the REST API layer for ClusterCockpit.\n     7→// It handles HTTP requests for job management, user administration,\n     8→// cluster queries, node state updates, and metrics storage operations.\n     9→// The API supports both JWT token authentication and session-based authentication.\n    10→package api\n    11→\n    12→import (\n    13→\t\"encoding/json\"\n    14→\t\"fmt\"\n    15→\t\"io\"\n    16→\t\"net/http\"\n    17→\t\"os\"\n    18→\t\"path/filepath\"\n    19→\t\"strings\"\n    20→\t\"sync\"\n    21→\n    22→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n    23→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    24→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    25→\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n    26→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    27→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    28→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n    29→\t\"github.com/go-chi/chi/v5\"\n    30→)\n    31→\n    32→// @title                      ClusterCockpit REST API\n    33→// @version                    1.0.0\n    34→// @description                API for batch job control.\n    35→\n    36→// @contact.name               ClusterCockpit Project\n    37→// @contact.url                https://github.com/ClusterCockpit\n    38→// @contact.email              support@clustercockpit.org\n    39→\n    40→// @license.name               MIT License\n    41→// @license.url                https://opensource.org/licenses/MIT\n    42→\n    43→// @host                       localhost:8080\n    44→\n    45→// @securityDefinitions.apikey ApiKeyAuth\n    46→// @in                         header\n    47→// @name                       X-Auth-Token\n    48→\n    49→const (\n    50→\tnoticeFilePath  = \"./var/notice.txt\"\n    51→\tnoticeFilePerms = 0o644\n    52→\tmaxNoticeLength = 10000 // Maximum allowed notice content length in characters\n    53→)\n    54→\n    55→type RestAPI struct {\n    56→\tJobRepository   *repository.JobRepository\n    57→\tAuthentication  *auth.Authentication\n    58→\tMachineStateDir string\n    59→\t// RepositoryMutex protects job creation operations from race conditions\n    60→\t// when checking for duplicate jobs during startJob API calls.\n    61→\t// It prevents concurrent job starts with the same jobId/cluster/startTime\n    62→\t// from creating duplicate entries in the database.\n    63→\tRepositoryMutex sync.Mutex\n    64→}\n    65→\n    66→// New creates and initializes a new RestAPI instance with configured dependencies.\n    67→func New() *RestAPI {\n    68→\treturn &RestAPI{\n    69→\t\tJobRepository:   repository.GetJobRepository(),\n    70→\t\tMachineStateDir: config.Keys.MachineStateDir,\n    71→\t\tAuthentication:  auth.GetAuthInstance(),\n    72→\t}\n    73→}\n    74→\n    75→// MountAPIRoutes registers REST API endpoints for job and cluster management.\n    76→// These routes use JWT token authentication via the X-Auth-Token header.\n    77→func (api *RestAPI) MountAPIRoutes(r chi.Router) {\n    78→\t// REST API Uses TokenAuth\n    79→\t// User List\n    80→\tr.Get(\"/users/\", api.getUsers)\n    81→\t// Cluster List\n    82→\tr.Get(\"/clusters/\", api.getClusters)\n    83→\t// Slurm node state\n    84→\tr.Post(\"/nodestate/\", api.updateNodeStates)\n    85→\tr.Put(\"/nodestate/\", api.updateNodeStates)\n    86→\t// Job Handler\n    87→\tif config.Keys.APISubjects == nil {\n    88→\t\tcclog.Info(\"Enabling REST start/stop job API\")\n    89→\t\tr.Post(\"/jobs/start_job/\", api.startJob)\n    90→\t\tr.Put(\"/jobs/start_job/\", api.startJob)\n    91→\t\tr.Post(\"/jobs/stop_job/\", api.stopJobByRequest)\n    92→\t\tr.Put(\"/jobs/stop_job/\", api.stopJobByRequest)\n    93→\t}\n    94→\tr.Get(\"/jobs/\", api.getJobs)\n    95→\tr.Get(\"/jobs/used_nodes\", api.getUsedNodes)\n    96→\tr.Post(\"/jobs/tag_job/{id}\", api.tagJob)\n    97→\tr.Patch(\"/jobs/tag_job/{id}\", api.tagJob)\n    98→\tr.Delete(\"/jobs/tag_job/{id}\", api.removeTagJob)\n    99→\tr.Patch(\"/jobs/edit_meta/{id}\", api.editMeta)\n   100→\tr.Patch(\"/jobs/edit_meta/\", api.editMetaByRequest)\n   101→\tr.Get(\"/jobs/metrics/{id}\", api.getJobMetrics)\n   102→\tr.Delete(\"/jobs/delete_job/\", api.deleteJobByRequest)\n   103→\tr.Delete(\"/jobs/delete_job/{id}\", api.deleteJobByID)\n   104→\tr.Delete(\"/jobs/delete_job_before/{ts}\", api.deleteJobBefore)\n   105→\tr.Post(\"/jobs/{id}\", api.getJobByID)\n   106→\tr.Get(\"/jobs/{id}\", api.getCompleteJobByID)\n   107→\n   108→\tr.Delete(\"/tags/\", api.removeTags)\n   109→\n   110→\tif api.MachineStateDir != \"\" {\n   111→\t\tr.Get(\"/machine_state/{cluster}/{host}\", api.getMachineState)\n   112→\t\tr.Put(\"/machine_state/{cluster}/{host}\", api.putMachineState)\n   113→\t\tr.Post(\"/machine_state/{cluster}/{host}\", api.putMachineState)\n   114→\t}\n   115→}\n   116→\n   117→// MountUserAPIRoutes registers user-accessible REST API endpoints.\n   118→// These are limited endpoints for regular users with JWT token authentication.\n   119→func (api *RestAPI) MountUserAPIRoutes(r chi.Router) {\n   120→\t// REST API Uses TokenAuth\n   121→\tr.Get(\"/jobs/\", api.getJobs)\n   122→\tr.Post(\"/jobs/{id}\", api.getJobByID)\n   123→\tr.Get(\"/jobs/{id}\", api.getCompleteJobByID)\n   124→\tr.Get(\"/jobs/metrics/{id}\", api.getJobMetrics)\n   125→}\n   126→\n   127→// MountMetricStoreAPIRoutes registers metric storage API endpoints.\n   128→// These endpoints handle metric data ingestion and health checks with JWT token authentication.\n   129→func (api *RestAPI) MountMetricStoreAPIRoutes(r chi.Router) {\n   130→\t// REST API Uses TokenAuth\n   131→\tr.Post(\"/free\", freeMetrics)\n   132→\tr.Post(\"/write\", writeMetrics)\n   133→\tr.Get(\"/debug\", debugMetrics)\n   134→\tr.Post(\"/healthcheck\", api.updateNodeStates)\n   135→\t// Same endpoints but with trailing slash\n   136→\tr.Post(\"/free/\", freeMetrics)\n   137→\tr.Post(\"/write/\", writeMetrics)\n   138→\tr.Get(\"/debug/\", debugMetrics)\n   139→\tr.Post(\"/healthcheck/\", api.updateNodeStates)\n   140→}\n   141→\n   142→// MountConfigAPIRoutes registers configuration and user management endpoints.\n   143→// These routes use session-based authentication and require admin privileges.\n   144→// Routes use full paths (including /config prefix) to avoid conflicting with\n   145→// the /config page route when registered via Group instead of Route.\n   146→func (api *RestAPI) MountConfigAPIRoutes(r chi.Router) {\n   147→\t// Settings Frontend Uses SessionAuth\n   148→\tif api.Authentication != nil {\n   149→\t\tr.Get(\"/config/roles/\", api.getRoles)\n   150→\t\tr.Post(\"/config/users/\", api.createUser)\n   151→\t\tr.Put(\"/config/users/\", api.createUser)\n   152→\t\tr.Get(\"/config/users/\", api.getUsers)\n   153→\t\tr.Delete(\"/config/users/\", api.deleteUser)\n   154→\t\tr.Post(\"/config/user/{id}\", api.updateUser)\n   155→\t\tr.Post(\"/config/notice/\", api.editNotice)\n   156→\t\tr.Get(\"/config/taggers/\", api.getTaggers)\n   157→\t\tr.Post(\"/config/taggers/run/\", api.runTagger)\n   158→\t}\n   159→}\n   160→\n   161→// MountFrontendAPIRoutes registers frontend-specific API endpoints.\n   162→// These routes support JWT generation and user configuration updates with session authentication.\n   163→func (api *RestAPI) MountFrontendAPIRoutes(r chi.Router) {\n   164→\tr.Get(\"/logs/\", api.getJournalLog)\n   165→\t// Settings Frontend Uses SessionAuth\n   166→\tif api.Authentication != nil {\n   167→\t\tr.Get(\"/jwt/\", api.getJWT)\n   168→\t\tr.Post(\"/configuration/\", api.updateConfiguration)\n   169→\t}\n   170→}\n   171→\n   172→// ErrorResponse model\n   173→type ErrorResponse struct {\n   174→\t// Statustext of Errorcode\n   175→\tStatus string `json:\"status\"`\n   176→\tError  string `json:\"error\"` // Error Message\n   177→}\n   178→\n   179→// DefaultAPIResponse model\n   180→type DefaultAPIResponse struct {\n   181→\tMessage string `json:\"msg\"`\n   182→}\n   183→\n   184→// handleError writes a standardized JSON error response with the given status code.\n   185→// It logs the error at WARN level and ensures proper Content-Type headers are set.\n   186→func handleError(err error, statusCode int, rw http.ResponseWriter) {\n   187→\tcclog.Warnf(\"REST ERROR : %s\", err.Error())\n   188→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   189→\trw.WriteHeader(statusCode)\n   190→\tif err := json.NewEncoder(rw).Encode(ErrorResponse{\n   191→\t\tStatus: http.StatusText(statusCode),\n   192→\t\tError:  err.Error(),\n   193→\t}); err != nil {\n   194→\t\tcclog.Errorf(\"Failed to encode error response: %v\", err)\n   195→\t}\n   196→}\n   197→\n   198→// decode reads JSON from r into val with strict validation that rejects unknown fields.\n   199→func decode(r io.Reader, val any) error {\n   200→\tdec := json.NewDecoder(r)"}]},"uuid":"2e0a6cb3-1f28-46f1-87e6-a875039aa9d6","timestamp":"2026-03-16T10:18:58.656Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"3eddec24-5f8b-4434-a6a4-b70ad17f6140","timestamp":"2026-03-16T10:18:58.812Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"3eddec24-5f8b-4434-a6a4-b70ad17f6140","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:58.825Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01ALdPouxfK13qWn8xm2scWv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QmfGnBNV3YMSkcKJ6z4wjb","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":8581,"cache_read_input_tokens":32724,"cache_creation":{"ephemeral_5m_input_tokens":8581,"ephemeral_1h_input_tokens":0},"output_tokens":25,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7UaswaikLFwn5Yxwb","uuid":"23cdd152-f5cb-41ae-b643-7054ec852132"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"0bd3ee40-40ba-455c-9646-0d43ed7f8689","timestamp":"2026-03-16T10:18:58.825Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"0bd3ee40-40ba-455c-9646-0d43ed7f8689","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QmfGnBNV3YMSkcKJ6z4wjb","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package archiver provides asynchronous job archiving functionality for ClusterCockpit.\n     7→//\n     8→// The archiver runs a background worker goroutine that processes job archiving requests\n     9→// from a buffered channel. When jobs complete, their metric data is archived from the\n    10→// metric store to the configured archive backend (filesystem, S3, etc.).\n    11→//\n    12→// # Architecture\n    13→//\n    14→// The archiver uses a producer-consumer pattern:\n    15→//   - Producer: TriggerArchiving() sends jobs to archiveChannel\n    16→//   - Consumer: archivingWorker() processes jobs from the channel\n    17→//   - Coordination: sync.WaitGroup tracks pending archive operations\n    18→//\n    19→// # Lifecycle\n    20→//\n    21→//  1. Start(repo, ctx) - Initialize worker with context for cancellation\n    22→//  2. TriggerArchiving(job) - Queue job for archiving (called when job stops)\n    23→//  3. archivingWorker() - Background goroutine processes jobs\n    24→//  4. Shutdown(timeout) - Graceful shutdown with timeout\n    25→//\n    26→// # Graceful Shutdown\n    27→//\n    28→// The archiver supports graceful shutdown with configurable timeout:\n    29→//   - Closes channel to reject new jobs\n    30→//   - Waits for pending jobs to complete (up to timeout)\n    31→//   - Cancels context if timeout exceeded\n    32→//   - Ensures worker goroutine exits cleanly\n    33→//\n    34→// # Example Usage\n    35→//\n    36→//\t// Initialize archiver\n    37→//\tctx, cancel := context.WithCancel(context.Background())\n    38→//\tdefer cancel()\n    39→//\tarchiver.Start(jobRepository, ctx)\n    40→//\n    41→//\t// Trigger archiving when job completes\n    42→//\tarchiver.TriggerArchiving(job)\n    43→//\n    44→//\t// Graceful shutdown with 10 second timeout\n    45→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n    46→//\t    log.Printf(\"Archiver shutdown timeout: %v\", err)\n    47→//\t}\n    48→package archiver\n    49→\n    50→import (\n    51→\t\"context\"\n    52→\t\"fmt\"\n    53→\t\"sync\"\n    54→\t\"time\"\n    55→\n    56→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    57→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    58→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    59→\tsq \"github.com/Masterminds/squirrel\"\n    60→)\n    61→\n    62→var (\n    63→\tarchivePending sync.WaitGroup\n    64→\tarchiveChannel chan *schema.Job\n    65→\tjobRepo        *repository.JobRepository\n    66→\tshutdownCtx    context.Context\n    67→\tshutdownCancel context.CancelFunc\n    68→\tworkerDone     chan struct{}\n    69→)\n    70→\n    71→// Start initializes the archiver and starts the background worker goroutine.\n    72→//\n    73→// The archiver processes job archiving requests asynchronously via a buffered channel.\n    74→// Jobs are sent to the channel using TriggerArchiving() and processed by the worker.\n    75→//\n    76→// Parameters:\n    77→//   - r: JobRepository instance for database operations\n    78→//   - ctx: Context for cancellation (shutdown signal propagation)\n    79→//\n    80→// The worker goroutine will run until:\n    81→//   - ctx is cancelled (via parent shutdown)\n    82→//   - archiveChannel is closed (via Shutdown())\n    83→//\n    84→// Must be called before TriggerArchiving(). Safe to call only once.\n    85→func Start(r *repository.JobRepository, ctx context.Context) {\n    86→\tshutdownCtx, shutdownCancel = context.WithCancel(ctx)\n    87→\tarchiveChannel = make(chan *schema.Job, 128)\n    88→\tworkerDone = make(chan struct{})\n    89→\tjobRepo = r\n    90→\n    91→\tgo archivingWorker()\n    92→}\n    93→\n    94→// archivingWorker is the background goroutine that processes job archiving requests.\n    95→//\n    96→// The worker loop:\n    97→//  1. Blocks waiting for jobs on archiveChannel or shutdown signal\n    98→//  2. Fetches job metadata from repository\n    99→//  3. Archives job data to configured backend (calls ArchiveJob)\n   100→//  4. Updates job footprint and energy metrics in database\n   101→//  5. Marks job as successfully archived\n   102→//  6. Calls job stop hooks\n   103→//\n   104→// The worker exits when:\n   105→//   - shutdownCtx is cancelled (timeout during shutdown)\n   106→//   - archiveChannel is closed (normal shutdown)\n   107→//\n   108→// Errors during archiving are logged and the job is marked as failed,\n   109→// but the worker continues processing other jobs.\n   110→func archivingWorker() {\n   111→\tdefer close(workerDone)\n   112→\n   113→\tfor {\n   114→\t\tselect {\n   115→\t\tcase <-shutdownCtx.Done():\n   116→\t\t\tcclog.Info(\"Archive worker received shutdown signal\")\n   117→\t\t\treturn\n   118→\n   119→\t\tcase job, ok := <-archiveChannel:\n   120→\t\t\tif !ok {\n   121→\t\t\t\tcclog.Info(\"Archive channel closed, worker exiting\")\n   122→\t\t\t\treturn\n   123→\t\t\t}\n   124→\n   125→\t\t\tstart := time.Now()\n   126→\t\t\t// not using meta data, called to load JobMeta into Cache?\n   127→\t\t\t// will fail if job meta not in repository\n   128→\t\t\tif _, err := jobRepo.FetchMetadata(job); err != nil {\n   129→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at check metadata step: %s\", *job.ID, err.Error())\n   130→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n   131→\t\t\t\tarchivePending.Done()\n   132→\t\t\t\tcontinue\n   133→\t\t\t}\n   134→\n   135→\t\t\t// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend\n   136→\t\t\t// Use shutdown context to allow cancellation\n   137→\t\t\tjobMeta, err := ArchiveJob(job, shutdownCtx)\n   138→\t\t\tif err != nil {\n   139→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at archiving job step: %s\", *job.ID, err.Error())\n   140→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n   141→\t\t\t\tarchivePending.Done()\n   142→\t\t\t\tcontinue\n   143→\t\t\t}\n   144→\n   145→\t\t\tstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\n   146→\n   147→\t\t\tif stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {\n   148→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Footprint step: %s\", *job.ID, err.Error())\n   149→\t\t\t\tarchivePending.Done()\n   150→\t\t\t\tcontinue\n   151→\t\t\t}\n   152→\t\t\tif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta); err != nil {\n   153→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Energy step: %s\", *job.ID, err.Error())\n   154→\t\t\t\tarchivePending.Done()\n   155→\t\t\t\tcontinue\n   156→\t\t\t}\n   157→\t\t\t// Update the jobs database entry one last time:\n   158→\t\t\tstmt = jobRepo.MarkArchived(stmt, schema.MonitoringStatusArchivingSuccessful)\n   159→\t\t\tif err := jobRepo.Execute(stmt); err != nil {\n   160→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at db execute: %s\", *job.ID, err.Error())\n   161→\t\t\t\tarchivePending.Done()\n   162→\t\t\t\tcontinue\n   163→\t\t\t}\n   164→\t\t\tcclog.Debugf(\"archiving job %d took %s\", job.JobID, time.Since(start))\n   165→\t\t\tcclog.Infof(\"archiving job (dbid: %d) successful\", *job.ID)\n   166→\n   167→\t\t\trepository.CallJobStopHooks(job)\n   168→\t\t\tarchivePending.Done()\n   169→\t\t}\n   170→\t}\n   171→}\n   172→\n   173→// TriggerArchiving queues a job for asynchronous archiving.\n   174→//\n   175→// This function should be called when a job completes (stops) to archive its\n   176→// metric data from the metric store to the configured archive backend.\n   177→//\n   178→// The function:\n   179→//  1. Increments the pending job counter (WaitGroup)\n   180→//  2. Sends the job to the archiving channel (buffered, capacity 128)\n   181→//  3. Returns immediately (non-blocking unless channel is full)\n   182→//\n   183→// The actual archiving is performed asynchronously by the worker goroutine.\n   184→// Upon completion, the worker will decrement the pending counter.\n   185→//\n   186→// Panics if Start() has not been called first.\n   187→func TriggerArchiving(job *schema.Job) {\n   188→\tif archiveChannel == nil {\n   189→\t\tcclog.Fatal(\"Cannot archive without archiving channel. Did you Start the archiver?\")\n   190→\t}\n   191→\n   192→\tarchivePending.Add(1)\n   193→\tarchiveChannel <- job\n   194→}\n   195→\n   196→// Shutdown performs a graceful shutdown of the archiver with a configurable timeout.\n   197→//\n   198→// The shutdown process:\n   199→//  1. Closes archiveChannel - no new jobs will be accepted\n   200→//  2. Waits for pending jobs to complete (up to timeout duration)\n   201→//  3. If timeout is exceeded:\n   202→//     - Cancels shutdownCtx to interrupt ongoing ArchiveJob operations\n   203→//     - Returns error indicating timeout\n   204→//  4. Waits for worker goroutine to exit cleanly\n   205→//\n   206→// Parameters:\n   207→//   - timeout: Maximum duration to wait for pending jobs to complete\n   208→//     (recommended: 10-30 seconds for production)\n   209→//\n   210→// Returns:\n   211→//   - nil if all jobs completed within timeout\n   212→//   - error if timeout was exceeded (some jobs may not have been archived)\n   213→//\n   214→// Jobs that don't complete within the timeout will be marked as failed.\n   215→// The function always ensures the worker goroutine exits before returning.\n   216→//\n   217→// Example:\n   218→//\n   219→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n   220→//\t    log.Printf(\"Some jobs did not complete: %v\", err)\n   221→//\t}\n   222→func Shutdown(timeout time.Duration) error {\n   223→\tcclog.Info(\"Initiating archiver shutdown...\")\n   224→\n   225→\t// Close channel to signal no more jobs will be accepted\n   226→\tclose(archiveChannel)\n   227→\n   228→\t// Create a channel to signal when all jobs are done\n   229→\tdone := make(chan struct{})\n   230→\tgo func() {\n   231→\t\tarchivePending.Wait()\n   232→\t\tclose(done)\n   233→\t}()\n   234→\n   235→\t// Wait for jobs to complete or timeout\n   236→\tselect {\n   237→\tcase <-done:\n   238→\t\tcclog.Info(\"All archive jobs completed successfully\")\n   239→\t\t// Wait for worker to exit\n   240→\t\t<-workerDone\n   241→\t\treturn nil\n   242→\tcase <-time.After(timeout):\n   243→\t\tcclog.Warn(\"Archiver shutdown timeout exceeded, cancelling remaining operations\")\n   244→\t\t// Cancel any ongoing operations\n   245→\t\tshutdownCancel()\n   246→\t\t// Wait for worker to exit\n   247→\t\t<-workerDone\n   248→\t\treturn fmt.Errorf(\"archiver shutdown timeout after %v\", timeout)\n   249→\t}\n   250→}\n   251→"}]},"uuid":"8c03a830-9782-477c-ac56-dda860e00768","timestamp":"2026-03-16T10:18:58.827Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"570e734f-a5ca-413e-af11-088950cbbb65","timestamp":"2026-03-16T10:18:58.838Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"fe4f26ca-73ba-4d02-af6c-c25c65a02064","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TvXDoyQpRVirrkiiNAU6vk","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package metricstore provides an efficient in-memory time-series metric storage system\n     7→// with support for hierarchical data organization, checkpointing, and archiving.\n     8→//\n     9→// The package organizes metrics in a tree structure (cluster → host → component) and\n    10→// provides concurrent read/write access to metric data with configurable aggregation strategies.\n    11→// Background goroutines handle periodic checkpointing (JSON or Avro format), archiving old data,\n    12→// and enforcing retention policies.\n    13→//\n    14→// Key features:\n    15→//   - In-memory metric storage with configurable retention\n    16→//   - Hierarchical data organization (selectors)\n    17→//   - Concurrent checkpoint/archive workers\n    18→//   - Support for sum and average aggregation\n    19→//   - NATS integration for metric ingestion\n    20→package metricstore\n    21→\n    22→import (\n    23→\t\"bytes\"\n    24→\t\"context\"\n    25→\t\"encoding/json\"\n    26→\t\"errors\"\n    27→\t\"fmt\"\n    28→\t\"runtime\"\n    29→\t\"runtime/debug\"\n    30→\t\"slices\"\n    31→\t\"sync\"\n    32→\t\"time\"\n    33→\n    34→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    35→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    36→\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n    37→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    38→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n    39→)\n    40→\n    41→// GlobalState holds the global state for the metric store with thread-safe access.\n    42→type GlobalState struct {\n    43→\tmu                sync.RWMutex\n    44→\tlastRetentionTime int64\n    45→\tselectorsExcluded bool\n    46→}\n    47→\n    48→var (\n    49→\tsingleton  sync.Once\n    50→\tmsInstance *MemoryStore\n    51→\t// shutdownFunc stores the context cancellation function created in Init\n    52→\t// and is called during Shutdown to cancel all background goroutines\n    53→\tshutdownFunc   context.CancelFunc\n    54→\tshutdownFuncMu sync.Mutex // Protects shutdownFunc from concurrent access\n    55→\t// Create a global instance\n    56→\tstate = &GlobalState{}\n    57→)\n    58→\n    59→// NodeProvider provides information about nodes currently in use by running jobs.\n    60→//\n    61→// This interface allows metricstore to query job information without directly\n    62→// depending on the repository package, breaking the import cycle.\n    63→//\n    64→// Implementations should return nodes that are actively processing jobs started\n    65→// before the given timestamp. These nodes will be excluded from retention-based\n    66→// garbage collection to prevent data loss for jobs that are still running or\n    67→// recently completed.\n    68→type NodeProvider interface {\n    69→\t// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n    70→\t// that are currently in use by jobs that started before the given timestamp.\n    71→\t//\n    72→\t// Parameters:\n    73→\t//   - ts: Unix timestamp threshold - returns nodes with jobs started before this time\n    74→\t//\n    75→\t// Returns:\n    76→\t//   - Map of cluster names to lists of node hostnames that should be excluded from garbage collection\n    77→\t//   - Error if the query fails\n    78→\tGetUsedNodes(ts int64) (map[string][]string, error)\n    79→}\n    80→\n    81→// Metric represents a single metric data point to be written to the store.\n    82→type Metric struct {\n    83→\tName  string\n    84→\tValue schema.Float\n    85→\t// MetricConfig contains frequency and aggregation settings for this metric.\n    86→\t// If Frequency is 0, configuration will be looked up from MemoryStore.Metrics during Write().\n    87→\tMetricConfig MetricConfig\n    88→}\n    89→\n    90→// MemoryStore is the main in-memory time-series metric storage implementation.\n    91→//\n    92→// It organizes metrics in a hierarchical tree structure where each level represents\n    93→// a component of the system hierarchy (e.g., cluster → host → CPU). Each level can\n    94→// store multiple metrics as time-series buffers.\n    95→//\n    96→// The store is initialized as a singleton via InitMetrics() and accessed via GetMemoryStore().\n    97→// All public methods are safe for concurrent use.\n    98→type MemoryStore struct {\n    99→\tMetrics      map[string]MetricConfig\n   100→\troot         Level\n   101→\tnodeProvider NodeProvider\n   102→}\n   103→\n   104→// Init initializes the metric store from configuration and starts background workers.\n   105→//\n   106→// This function must be called exactly once before any other metricstore operations.\n   107→// It performs the following initialization steps:\n   108→//  1. Validates and decodes the metric store configuration\n   109→//  2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n   110→//  3. Loads metric configurations from all registered clusters\n   111→//  4. Restores checkpoints within the retention window\n   112→//  5. Starts background workers for retention, checkpointing, archiving, and monitoring\n   113→//  6. Optionally subscribes to NATS for real-time metric ingestion\n   114→//\n   115→// Parameters:\n   116→//   - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n   117→//   - wg: WaitGroup that will be incremented for each background goroutine started\n   118→//\n   119→// The function will call cclog.Fatal on critical errors during initialization.\n   120→// Use Shutdown() to cleanly stop all background workers started by Init().\n   121→//\n   122→// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n   123→// receiving termination signals to ensure checkpoint data is persisted.\n   124→func Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n   125→\tstartupTime := time.Now()\n   126→\n   127→\tif rawConfig != nil {\n   128→\t\tconfig.Validate(configSchema, rawConfig)\n   129→\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n   130→\t\tdec.DisallowUnknownFields()\n   131→\t\tif err := dec.Decode(&Keys); err != nil {\n   132→\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n   133→\t\t}\n   134→\t}\n   135→\n   136→\t// Set NumWorkers from config or use default\n   137→\tif Keys.NumWorkers <= 0 {\n   138→\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n   139→\t}\n   140→\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n   141→\n   142→\t// Pass the config.MetricStoreKeys\n   143→\tInitMetrics(metrics)\n   144→\n   145→\tms := GetMemoryStore()\n   146→\n   147→\td, err := time.ParseDuration(Keys.RetentionInMemory)\n   148→\tif err != nil {\n   149→\t\tcclog.Fatal(err)\n   150→\t}\n   151→\n   152→\trestoreFrom := startupTime.Add(-d)\n   153→\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n   154→\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n   155→\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n   156→\tif err != nil {\n   157→\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n   158→\t} else {\n   159→\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n   160→\t}\n   161→\n   162→\t// Try to use less memory by forcing a GC run here and then\n   163→\t// lowering the target percentage. The default of 100 means\n   164→\t// that only once the ratio of new allocations execeds the\n   165→\t// previously active heap, a GC is triggered.\n   166→\t// Forcing a GC here will set the \"previously active heap\"\n   167→\t// to a minumum.\n   168→\t// runtime.GC()\n   169→\n   170→\tctx, shutdown := context.WithCancel(context.Background())\n   171→\n   172→\tRetention(wg, ctx)\n   173→\tCheckpointing(wg, ctx)\n   174→\tCleanUp(wg, ctx)\n   175→\tWALStaging(wg, ctx)\n   176→\tMemoryUsageTracker(wg, ctx)\n   177→\n   178→\t// Note: Signal handling has been removed from this function.\n   179→\t// The caller is responsible for handling shutdown signals and calling\n   180→\t// the shutdown() function when appropriate.\n   181→\t// Store the shutdown function for later use by Shutdown()\n   182→\tshutdownFuncMu.Lock()\n   183→\tshutdownFunc = shutdown\n   184→\tshutdownFuncMu.Unlock()\n   185→\n   186→\tif Keys.Subscriptions != nil {\n   187→\t\terr = ReceiveNats(ms, 1, ctx)\n   188→\t\tif err != nil {\n   189→\t\t\tcclog.Fatal(err)\n   190→\t\t}\n   191→\t}\n   192→}\n   193→\n   194→// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n   195→//\n   196→// This function must be called before GetMemoryStore() and can only be called once due to\n   197→// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n   198→//\n   199→// Parameters:\n   200→//   - metrics: Map of metric names to their configurations (frequency and aggregation strategy)"}]},"uuid":"2950fd72-b369-478b-b67b-b5ac1cb2162f","timestamp":"2026-03-16T10:19:00.704Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"f2783f6a-6486-4b5f-9e19-a1986834a2cd","timestamp":"2026-03-16T10:19:01.368Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"7f802976-61d9-4ba6-9843-51f90faf2ec0","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LNZxs59YvZtpxmBzuRJnut","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package api provides the REST API layer for ClusterCockpit.\n     7→// It handles HTTP requests for job management, user administration,\n     8→// cluster queries, node state updates, and metrics storage operations.\n     9→// The API supports both JWT token authentication and session-based authentication.\n    10→package api\n    11→\n    12→import (\n    13→\t\"encoding/json\"\n    14→\t\"fmt\"\n    15→\t\"io\"\n    16→\t\"net/http\"\n    17→\t\"os\"\n    18→\t\"path/filepath\"\n    19→\t\"strings\"\n    20→\t\"sync\"\n    21→\n    22→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n    23→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    24→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    25→\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n    26→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    27→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    28→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n    29→\t\"github.com/go-chi/chi/v5\"\n    30→)\n    31→\n    32→// @title                      ClusterCockpit REST API\n    33→// @version                    1.0.0\n    34→// @description                API for batch job control.\n    35→\n    36→// @contact.name               ClusterCockpit Project\n    37→// @contact.url                https://github.com/ClusterCockpit\n    38→// @contact.email              support@clustercockpit.org\n    39→\n    40→// @license.name               MIT License\n    41→// @license.url                https://opensource.org/licenses/MIT\n    42→\n    43→// @host                       localhost:8080\n    44→\n    45→// @securityDefinitions.apikey ApiKeyAuth\n    46→// @in                         header\n    47→// @name                       X-Auth-Token\n    48→\n    49→const (\n    50→\tnoticeFilePath  = \"./var/notice.txt\"\n    51→\tnoticeFilePerms = 0o644\n    52→\tmaxNoticeLength = 10000 // Maximum allowed notice content length in characters\n    53→)\n    54→\n    55→type RestAPI struct {\n    56→\tJobRepository   *repository.JobRepository\n    57→\tAuthentication  *auth.Authentication\n    58→\tMachineStateDir string\n    59→\t// RepositoryMutex protects job creation operations from race conditions\n    60→\t// when checking for duplicate jobs during startJob API calls.\n    61→\t// It prevents concurrent job starts with the same jobId/cluster/startTime\n    62→\t// from creating duplicate entries in the database.\n    63→\tRepositoryMutex sync.Mutex\n    64→}\n    65→\n    66→// New creates and initializes a new RestAPI instance with configured dependencies.\n    67→func New() *RestAPI {\n    68→\treturn &RestAPI{\n    69→\t\tJobRepository:   repository.GetJobRepository(),\n    70→\t\tMachineStateDir: config.Keys.MachineStateDir,\n    71→\t\tAuthentication:  auth.GetAuthInstance(),\n    72→\t}\n    73→}\n    74→\n    75→// MountAPIRoutes registers REST API endpoints for job and cluster management.\n    76→// These routes use JWT token authentication via the X-Auth-Token header.\n    77→func (api *RestAPI) MountAPIRoutes(r chi.Router) {\n    78→\t// REST API Uses TokenAuth\n    79→\t// User List\n    80→\tr.Get(\"/users/\", api.getUsers)\n    81→\t// Cluster List\n    82→\tr.Get(\"/clusters/\", api.getClusters)\n    83→\t// Slurm node state\n    84→\tr.Post(\"/nodestate/\", api.updateNodeStates)\n    85→\tr.Put(\"/nodestate/\", api.updateNodeStates)\n    86→\t// Job Handler\n    87→\tif config.Keys.APISubjects == nil {\n    88→\t\tcclog.Info(\"Enabling REST start/stop job API\")\n    89→\t\tr.Post(\"/jobs/start_job/\", api.startJob)\n    90→\t\tr.Put(\"/jobs/start_job/\", api.startJob)\n    91→\t\tr.Post(\"/jobs/stop_job/\", api.stopJobByRequest)\n    92→\t\tr.Put(\"/jobs/stop_job/\", api.stopJobByRequest)\n    93→\t}\n    94→\tr.Get(\"/jobs/\", api.getJobs)\n    95→\tr.Get(\"/jobs/used_nodes\", api.getUsedNodes)\n    96→\tr.Post(\"/jobs/tag_job/{id}\", api.tagJob)\n    97→\tr.Patch(\"/jobs/tag_job/{id}\", api.tagJob)\n    98→\tr.Delete(\"/jobs/tag_job/{id}\", api.removeTagJob)\n    99→\tr.Patch(\"/jobs/edit_meta/{id}\", api.editMeta)\n   100→\tr.Patch(\"/jobs/edit_meta/\", api.editMetaByRequest)\n   101→\tr.Get(\"/jobs/metrics/{id}\", api.getJobMetrics)\n   102→\tr.Delete(\"/jobs/delete_job/\", api.deleteJobByRequest)\n   103→\tr.Delete(\"/jobs/delete_job/{id}\", api.deleteJobByID)\n   104→\tr.Delete(\"/jobs/delete_job_before/{ts}\", api.deleteJobBefore)\n   105→\tr.Post(\"/jobs/{id}\", api.getJobByID)\n   106→\tr.Get(\"/jobs/{id}\", api.getCompleteJobByID)\n   107→\n   108→\tr.Delete(\"/tags/\", api.removeTags)\n   109→\n   110→\tif api.MachineStateDir != \"\" {\n   111→\t\tr.Get(\"/machine_state/{cluster}/{host}\", api.getMachineState)\n   112→\t\tr.Put(\"/machine_state/{cluster}/{host}\", api.putMachineState)\n   113→\t\tr.Post(\"/machine_state/{cluster}/{host}\", api.putMachineState)\n   114→\t}\n   115→}\n   116→\n   117→// MountUserAPIRoutes registers user-accessible REST API endpoints.\n   118→// These are limited endpoints for regular users with JWT token authentication.\n   119→func (api *RestAPI) MountUserAPIRoutes(r chi.Router) {\n   120→\t// REST API Uses TokenAuth\n   121→\tr.Get(\"/jobs/\", api.getJobs)\n   122→\tr.Post(\"/jobs/{id}\", api.getJobByID)\n   123→\tr.Get(\"/jobs/{id}\", api.getCompleteJobByID)\n   124→\tr.Get(\"/jobs/metrics/{id}\", api.getJobMetrics)\n   125→}\n   126→\n   127→// MountMetricStoreAPIRoutes registers metric storage API endpoints.\n   128→// These endpoints handle metric data ingestion and health checks with JWT token authentication.\n   129→func (api *RestAPI) MountMetricStoreAPIRoutes(r chi.Router) {\n   130→\t// REST API Uses TokenAuth\n   131→\tr.Post(\"/free\", freeMetrics)\n   132→\tr.Post(\"/write\", writeMetrics)\n   133→\tr.Get(\"/debug\", debugMetrics)\n   134→\tr.Post(\"/healthcheck\", api.updateNodeStates)\n   135→\t// Same endpoints but with trailing slash\n   136→\tr.Post(\"/free/\", freeMetrics)\n   137→\tr.Post(\"/write/\", writeMetrics)\n   138→\tr.Get(\"/debug/\", debugMetrics)\n   139→\tr.Post(\"/healthcheck/\", api.updateNodeStates)\n   140→}\n   141→\n   142→// MountConfigAPIRoutes registers configuration and user management endpoints.\n   143→// These routes use session-based authentication and require admin privileges.\n   144→// Routes use full paths (including /config prefix) to avoid conflicting with\n   145→// the /config page route when registered via Group instead of Route.\n   146→func (api *RestAPI) MountConfigAPIRoutes(r chi.Router) {\n   147→\t// Settings Frontend Uses SessionAuth\n   148→\tif api.Authentication != nil {\n   149→\t\tr.Get(\"/config/roles/\", api.getRoles)\n   150→\t\tr.Post(\"/config/users/\", 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+{"parentUuid":"0ac4840d-8ce1-4864-ba76-57f99504b7ef","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LsPHTrPSnt2Estx2sBx8ai","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"encoding/json\"\n    10→\t\"fmt\"\n    11→\n    12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    14→\tsq \"github.com/Masterminds/squirrel\"\n    15→)\n    16→\n    17→const NamedJobCacheInsert string = `INSERT INTO job_cache (\n    18→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n    19→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n    20→) VALUES (\n    21→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n    22→  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n    23→);`\n    24→\n    25→const NamedJobInsert string = `INSERT INTO job (\n    26→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n    27→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n    28→) VALUES (\n    29→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n    30→  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n    31→);`\n    32→\n    33→// InsertJobDirect inserts a job directly into the job table (not job_cache).\n    34→// Use this when the returned ID will be used for operations on the job table\n    35→// (e.g., adding tags), or for imported jobs that are already completed.\n    36→func (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n    37→\tr.Mutex.Lock()\n    38→\tdefer r.Mutex.Unlock()\n    39→\n    40→\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n    41→\tif err != nil {\n    42→\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n    43→\t\treturn 0, err\n    44→\t}\n    45→\tid, err := res.LastInsertId()\n    46→\tif err != nil {\n    47→\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n    48→\t\treturn 0, err\n    49→\t}\n    50→\n    51→\treturn id, nil\n    52→}\n    53→\n    54→func (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n    55→\tr.Mutex.Lock()\n    56→\tdefer r.Mutex.Unlock()\n    57→\n    58→\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n    59→\tif err != nil {\n    60→\t\tcclog.Warn(\"Error while NamedJobInsert\")\n    61→\t\treturn 0, err\n    62→\t}\n    63→\tid, err := res.LastInsertId()\n    64→\tif err != nil {\n    65→\t\tcclog.Warn(\"Error while getting last insert ID\")\n    66→\t\treturn 0, err\n    67→\t}\n    68→\n    69→\treturn id, nil\n    70→}\n    71→\n    72→func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n    73→\tr.Mutex.Lock()\n    74→\tdefer r.Mutex.Unlock()\n    75→\n    76→\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n    77→\n    78→\trows, err := query.RunWith(r.stmtCache).Query()\n    79→\tif err != nil {\n    80→\t\tcclog.Errorf(\"Error while running query %v\", err)\n    81→\t\treturn nil, err\n    82→\t}\n    83→\tdefer rows.Close()\n    84→\n    85→\tjobs := make([]*schema.Job, 0, 50)\n    86→\tfor rows.Next() {\n    87→\t\tjob, err := scanJob(rows)\n    88→\t\tif err != nil {\n    89→\t\t\tcclog.Warn(\"Error while scanning rows\")\n    90→\t\t\treturn nil, err\n    91→\t\t}\n    92→\t\tjobs = append(jobs, job)\n    93→\t}\n    94→\n    95→\t// Transfer cached jobs to main table and clear cache in a single transaction.\n    96→\ttx, err := r.DB.Beginx()\n    97→\tif err != nil {\n    98→\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n    99→\t\treturn nil, err\n   100→\t}\n   101→\tdefer tx.Rollback()\n   102→\n   103→\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n   104→\t_, err = tx.Exec(\n   105→\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n   106→\tif err != nil {\n   107→\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n   108→\t\treturn nil, err\n   109→\t}\n   110→\n   111→\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n   112→\tif err != nil {\n   113→\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n   114→\t\treturn nil, err\n   115→\t}\n   116→\n   117→\tif err := tx.Commit(); err != nil {\n   118→\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n   119→\t\treturn nil, err\n   120→\t}\n   121→\n   122→\t// Resolve correct job.id from the job table. The IDs read from job_cache\n   123→\t// are from a different auto-increment sequence and must not be used to\n   124→\t// query the job table.\n   125→\tfor _, job := range jobs {\n   126→\t\tvar newID int64\n   127→\t\tif err := sq.Select(\"job.id\").From(\"job\").\n   128→\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n   129→\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n   130→\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n   131→\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n   132→\t\t\t\tjob.JobID, job.Cluster, err)\n   133→\t\t\tcontinue\n   134→\t\t}\n   135→\t\tjob.ID = &newID\n   136→\t}\n   137→\n   138→\treturn jobs, nil\n   139→}\n   140→\n   141→// TransferCachedJobToMain moves a job from job_cache to the job table.\n   142→// Caller must hold r.Mutex. Returns the new job table ID.\n   143→func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n   144→\tres, err := r.DB.Exec(\n   145→\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n   146→\t\tcacheID)\n   147→\tif err != nil {\n   148→\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n   149→\t}\n   150→\n   151→\tnewID, err := res.LastInsertId()\n   152→\tif err != nil {\n   153→\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n   154→\t}\n   155→\n   156→\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n   157→\tif err != nil {\n   158→\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n   159→\t}\n   160→\n   161→\treturn newID, nil\n   162→}\n   163→\n   164→// Start inserts a new job in the table, returning the unique job ID.\n   165→// Statistics are not transfered!\n   166→func (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n   167→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   168→\tif err != nil {\n   169→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n   170→\t}\n   171→\n   172→\tjob.RawResources, err = json.Marshal(job.Resources)\n   173→\tif err != nil {\n   174→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n   175→\t}\n   176→\n   177→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n   178→\tif err != nil {\n   179→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n   180→\t}\n   181→\n   182→\treturn r.InsertJob(job)\n   183→}\n   184→\n   185→// StartDirect inserts a new job directly into the job table (not job_cache).\n   186→// Use this when the returned ID will immediately be used for job table\n   187→// operations such as adding tags.\n   188→func (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n   189→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n   190→\tif err != nil {\n   191→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n   192→\t}\n   193→\n   194→\tjob.RawResources, err = json.Marshal(job.Resources)\n   195→\tif err != nil {\n   196→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n   197→\t}\n   198→\n   199→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n   200→\tif err != nil {\n   201→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n   202→\t}\n   203→\n   204→\treturn r.InsertJobDirect(job)\n   205→}\n   206→\n   207→// Stop updates the job with the database id jobId using the provided arguments.\n   208→func (r *JobRepository) Stop(\n   209→\tjobID int64,\n   210→\tduration int32,\n   211→\tstate schema.JobState,\n   212→\tmonitoringStatus int32,\n   213→) (err error) {\n   214→\t// Invalidate cache entries as job state is changing\n   215→\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n   216→\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n   217→\n   218→\tstmt := sq.Update(\"job\").\n   219→\t\tSet(\"job_state\", state).\n   220→\t\tSet(\"duration\", duration).\n   221→\t\tSet(\"monitoring_status\", monitoringStatus).\n   222→\t\tWhere(\"job.id = ?\", jobID)\n   223→\n   224→\t_, err = stmt.RunWith(r.stmtCache).Exec()\n   225→\treturn err\n   226→}\n   227→"}]},"uuid":"68d5eef7-19ca-4774-957f-4b6683917bf2","timestamp":"2026-03-16T10:19:02.479Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"1aab2bb2-b3e6-429f-99e9-6dc7e02162dc","timestamp":"2026-03-16T10:19:02.733Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"096be93c-f01e-4116-85f9-ba78b99ab30f","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Q56Kd1KsrdTWnGABXTQUbm","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"sync\"\n    10→\n    11→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    12→)\n    13→\n    14→// JobHook interface allows external components to hook into job lifecycle events.\n    15→// Implementations can perform actions when jobs start or stop, such as tagging,\n    16→// logging, notifications, or triggering external workflows.\n    17→//\n    18→// Example implementation:\n    19→//\n    20→//\ttype MyJobTagger struct{}\n    21→//\n    22→//\tfunc (t *MyJobTagger) JobStartCallback(job *schema.Job) {\n    23→//\t    if job.NumNodes > 100 {\n    24→//\t        // Tag large jobs automatically\n    25→//\t    }\n    26→//\t}\n    27→//\n    28→//\tfunc (t *MyJobTagger) JobStopCallback(job *schema.Job) {\n    29→//\t    if job.State == schema.JobStateFailed {\n    30→//\t        // Log or alert on failed jobs\n    31→//\t    }\n    32→//\t}\n    33→//\n    34→// Register hooks during application initialization:\n    35→//\n    36→//\trepository.RegisterJobHook(&MyJobTagger{})\n    37→type JobHook interface {\n    38→\t// JobStartCallback is invoked when one or more jobs start.\n    39→\t// This is called synchronously, so implementations should be fast.\n    40→\tJobStartCallback(job *schema.Job)\n    41→\n    42→\t// JobStopCallback is invoked when a job completes.\n    43→\t// This is called synchronously, so implementations should be fast.\n    44→\tJobStopCallback(job *schema.Job)\n    45→}\n    46→\n    47→var (\n    48→\tinitOnce sync.Once\n    49→\thooks    []JobHook\n    50→)\n    51→\n    52→// RegisterJobHook registers a JobHook to receive job lifecycle callbacks.\n    53→// Multiple hooks can be registered and will be called in registration order.\n    54→// This function is safe to call multiple times and is typically called during\n    55→// application initialization.\n    56→//\n    57→// Nil hooks are silently ignored to simplify conditional registration.\n    58→func RegisterJobHook(hook JobHook) {\n    59→\tinitOnce.Do(func() {\n    60→\t\thooks = make([]JobHook, 0)\n    61→\t})\n    62→\n    63→\tif hook != nil {\n    64→\t\thooks = append(hooks, hook)\n    65→\t}\n    66→}\n    67→\n    68→// CallJobStartHooks invokes all registered JobHook.JobStartCallback methods\n    69→// for each job in the provided slice. This is called internally by the repository\n    70→// when jobs are started (e.g., via StartJob or batch job imports).\n    71→//\n    72→// Hooks are called synchronously in registration order. If a hook panics,\n    73→// the panic will propagate to the caller.\n    74→func CallJobStartHooks(jobs []*schema.Job) {\n    75→\tif hooks == nil {\n    76→\t\treturn\n    77→\t}\n    78→\n    79→\tfor _, hook := range hooks {\n    80→\t\tif hook != nil {\n    81→\t\t\tfor _, job := range jobs {\n    82→\t\t\t\thook.JobStartCallback(job)\n    83→\t\t\t}\n    84→\t\t}\n    85→\t}\n    86→}\n    87→\n    88→// CallJobStopHooks invokes all registered JobHook.JobStopCallback methods\n    89→// for the provided job. This is called internally by the repository when a\n    90→// job completes (e.g., via StopJob or job state updates).\n    91→//\n    92→// Hooks are called synchronously in registration order. If a hook panics,\n    93→// the panic will propagate to the caller.\n    94→func CallJobStopHooks(job *schema.Job) {\n    95→\tif hooks == nil {\n    96→\t\treturn\n    97→\t}\n    98→\n    99→\tfor _, hook := range hooks {\n   100→\t\tif hook != nil {\n   101→\t\t\thook.JobStopCallback(job)\n   102→\t\t}\n   103→\t}\n   104→}\n   105→"}]},"uuid":"05632aaf-09b7-49dc-9f0d-bef792d1b4ab","timestamp":"2026-03-16T10:19:02.791Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"a36d5096-d21b-47f0-8b87-06c60ecd5fdd","timestamp":"2026-03-16T10:19:02.805Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"a36d5096-d21b-47f0-8b87-06c60ecd5fdd","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:02.942Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01A5fp48JLodDTqUvyZLsqG1","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Bi1LCZzLc9aRRiSvZTFx19","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/config.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":887,"cache_read_input_tokens":94870,"cache_creation":{"ephemeral_5m_input_tokens":887,"ephemeral_1h_input_tokens":0},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7iqdEG6srZ9LfpkQV","uuid":"10ace628-ff89-413e-9f33-5f307676cb9d"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"06874574-1671-41e1-b217-b43ab9f97416","timestamp":"2026-03-16T10:19:02.943Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"06874574-1671-41e1-b217-b43ab9f97416","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Bi1LCZzLc9aRRiSvZTFx19","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import \"time\"\n     9→\n    10→// RepositoryConfig holds configuration for repository operations.\n    11→// All fields have sensible defaults, so this configuration is optional.\n    12→type RepositoryConfig struct {\n    13→\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n    14→\t// Default: 1MB (1024 * 1024 bytes)\n    15→\tCacheSize int\n    16→\n    17→\t// MaxOpenConnections is the maximum number of open database connections.\n    18→\t// Default: 4\n    19→\tMaxOpenConnections int\n    20→\n    21→\t// MaxIdleConnections is the maximum number of idle database connections.\n    22→\t// Default: 4\n    23→\tMaxIdleConnections int\n    24→\n    25→\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n    26→\t// Default: 1 hour\n    27→\tConnectionMaxLifetime time.Duration\n    28→\n    29→\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n    30→\t// Default: 10 minutes\n    31→\tConnectionMaxIdleTime time.Duration\n    32→\n    33→\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n    34→\t// considered in \"running jobs\" queries. This filters out very short jobs.\n    35→\t// Default: 600 seconds (10 minutes)\n    36→\tMinRunningJobDuration int\n    37→\n    38→\t// DbCacheSizeMB is the SQLite page cache size per connection in MB.\n    39→\t// Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n    40→\t// and DbCacheSizeMB=2048, total page cache is up to 8GB.\n    41→\t// Default: 2048 (2GB)\n    42→\tDbCacheSizeMB int\n    43→\n    44→\t// DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n    45→\t// SQLite will try to release cache pages to stay under this limit.\n    46→\t// It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n    47→\t// Default: 16384 (16GB)\n    48→\tDbSoftHeapLimitMB int\n    49→\n    50→\t// BusyTimeoutMs is the SQLite busy_timeout in milliseconds.\n    51→\t// When a write is blocked by another writer, SQLite retries internally\n    52→\t// using a backoff mechanism for up to this duration before returning SQLITE_BUSY.\n    53→\t// Default: 60000 (60 seconds)\n    54→\tBusyTimeoutMs int\n    55→}\n    56→\n    57→// DefaultConfig returns the default repository configuration.\n    58→// These values are optimized for typical deployments.\n    59→func DefaultConfig() *RepositoryConfig {\n    60→\treturn &RepositoryConfig{\n    61→\t\tCacheSize:             1 * 1024 * 1024, // 1MB\n    62→\t\tMaxOpenConnections:    4,\n    63→\t\tMaxIdleConnections:    4,\n    64→\t\tConnectionMaxLifetime: time.Hour,\n    65→\t\tConnectionMaxIdleTime: 10 * time.Minute,\n    66→\t\tMinRunningJobDuration: 600, // 10 minutes\n    67→\t\tDbCacheSizeMB:        2048,  // 2GB per connection\n    68→\t\tDbSoftHeapLimitMB:    16384, // 16GB process-wide\n    69→\t\tBusyTimeoutMs:        60000, // 60 seconds\n    70→\t}\n    71→}\n    72→\n    73→// repoConfig is the package-level configuration instance.\n    74→// It is initialized with defaults and can be overridden via SetConfig.\n    75→var repoConfig *RepositoryConfig = DefaultConfig()\n    76→\n    77→// SetConfig sets the repository configuration.\n    78→// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n    79→// If not called, default values from DefaultConfig() are used.\n    80→func SetConfig(cfg *RepositoryConfig) {\n    81→\tif cfg != nil {\n    82→\t\trepoConfig = cfg\n    83→\t}\n    84→}\n    85→\n    86→// GetConfig returns the current repository configuration.\n    87→func GetConfig() *RepositoryConfig {\n    88→\treturn repoConfig\n    89→}\n    90→"}]},"uuid":"b52aab3d-70ab-4612-ab88-21bf16ecfd5f","timestamp":"2026-03-16T10:19:02.952Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"13ac3caa-bfc8-42de-8a2e-6d97a9a25fee","timestamp":"2026-03-16T10:19:02.963Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"13ac3caa-bfc8-42de-8a2e-6d97a9a25fee","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:03.249Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01GyWTgPCodqRdXWs2Xtqnf9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KyfFdLVrZr5BhrZzGeEYuR","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go","limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":3652,"cache_read_input_tokens":47867,"cache_creation":{"ephemeral_5m_input_tokens":3652,"ephemeral_1h_input_tokens":0},"output_tokens":18,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7nWPY1M4kbgthYUgQ","uuid":"5a0fc9cf-8ece-4061-ad34-30078c5300bc"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"9b943414-b0f7-4dde-8d10-192d4b43b05b","timestamp":"2026-03-16T10:19:03.250Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"9b943414-b0f7-4dde-8d10-192d4b43b05b","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KyfFdLVrZr5BhrZzGeEYuR","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// This file implements checkpoint persistence for the in-memory metric store.\n     7→//\n     8→// Checkpoints enable graceful restarts by periodically saving in-memory metric\n     9→// data to disk in JSON or binary format. The checkpoint system:\n    10→//\n    11→// Key Features:\n    12→//   - Periodic background checkpointing via the Checkpointing() worker\n    13→//   - Two format families: JSON (human-readable) and WAL+binary (compact, crash-safe)\n    14→//   - Parallel checkpoint creation and loading using worker pools\n    15→//   - Hierarchical file organization: checkpoint_dir/cluster/host/timestamp.{json|bin}\n    16→//   - WAL file: checkpoint_dir/cluster/host/current.wal (append-only, per-entry)\n    17→//   - Only saves unarchived data (archived data is already persisted elsewhere)\n    18→//   - GC optimization during loading to prevent excessive heap growth\n    19→//\n    20→// Checkpoint Workflow:\n    21→//  1. Init() loads checkpoints within retention window at startup\n    22→//  2. Checkpointing() worker periodically saves new data\n    23→//  3. Shutdown() writes final checkpoint before exit\n    24→//\n    25→// File Organization:\n    26→//\n    27→//\tcheckpoints/\n    28→//\t  cluster1/\n    29→//\t    host001/\n    30→//\t      1234567890.json  (JSON format: full subtree snapshot)\n    31→//\t      1234567890.bin   (binary format: full subtree snapshot)\n    32→//\t      current.wal      (WAL format: append-only per-entry log)\n    33→//\t    host002/\n    34→//\t      ...\n    35→package metricstore\n    36→\n    37→import (\n    38→\t\"bufio\"\n    39→\t\"context\"\n    40→\t\"encoding/json\"\n    41→\t\"errors\"\n    42→\t\"fmt\"\n    43→\t\"io/fs\"\n    44→\t\"os\"\n    45→\t\"path\"\n    46→\t\"path/filepath\"\n    47→\t\"sort\"\n    48→\t\"strconv\"\n    49→\t\"strings\"\n    50→\t\"sync\"\n    51→\t\"sync/atomic\"\n    52→\t\"time\"\n    53→\n    54→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    55→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    56→)\n    57→\n    58→const (\n    59→\tCheckpointFilePerms = 0o644                    // File permissions for checkpoint files\n    60→\tCheckpointDirPerms  = 0o755                    // Directory permissions for checkpoint directories\n    61→\tGCTriggerInterval   = DefaultGCTriggerInterval // Interval for triggering GC during checkpoint loading\n    62→)\n    63→\n    64→// CheckpointMetrics represents metric data in a checkpoint file.\n    65→// Whenever the structure changes, update MarshalJSON as well!\n    66→type CheckpointMetrics struct {\n    67→\tData      []schema.Float `json:\"data\"`\n    68→\tFrequency int64          `json:\"frequency\"`\n    69→\tStart     int64          `json:\"start\"`\n    70→}\n    71→\n    72→// CheckpointFile represents the hierarchical structure of a checkpoint file.\n    73→// It mirrors the Level tree structure from the MemoryStore.\n    74→type CheckpointFile struct {\n    75→\tMetrics  map[string]*CheckpointMetrics `json:\"metrics\"`\n    76→\tChildren map[string]*CheckpointFile    `json:\"children\"`\n    77→\tFrom     int64                         `json:\"from\"`\n    78→\tTo       int64                         `json:\"to\"`\n    79→}\n    80→\n    81→// lastCheckpoint tracks the timestamp of the last checkpoint creation.\n    82→var (\n    83→\tlastCheckpoint   time.Time\n    84→\tlastCheckpointMu sync.Mutex\n    85→)\n    86→\n    87→// Checkpointing starts a background worker that periodically saves metric data to disk.\n    88→//\n    89→// Checkpoints are written every 12 hours (hardcoded).\n    90→//\n    91→// Format behaviour:\n    92→//   - \"json\": Periodic checkpointing every checkpointInterval\n    93→//   - \"wal\":  Periodic binary snapshots + WAL rotation every checkpointInterval\n    94→func Checkpointing(wg *sync.WaitGroup, ctx context.Context) {\n    95→\tlastCheckpointMu.Lock()\n    96→\tlastCheckpoint = time.Now()\n    97→\tlastCheckpointMu.Unlock()\n    98→\n    99→\tms := GetMemoryStore()\n   100→\n   101→\twg.Go(func() {\n   102→\n   103→\t\td := 12 * time.Hour // default checkpoint interval\n   104→\t\tif Keys.CheckpointInterval != \"\" {\n   105→\t\t\tparsed, err := time.ParseDuration(Keys.CheckpointInterval)\n   106→\t\t\tif err != nil {\n   107→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> invalid checkpoint-interval %q: %s, using default 12h\", Keys.CheckpointInterval, err)\n   108→\t\t\t} else {\n   109→\t\t\t\td = parsed\n   110→\t\t\t}\n   111→\t\t}\n   112→\n   113→\t\tticker := time.NewTicker(d)\n   114→\t\tdefer ticker.Stop()\n   115→\n   116→\t\tfor {\n   117→\t\t\tselect {\n   118→\t\t\tcase <-ctx.Done():\n   119→\t\t\t\treturn\n   120→\t\t\tcase <-ticker.C:\n   121→\t\t\t\tlastCheckpointMu.Lock()\n   122→\t\t\t\tfrom := lastCheckpoint\n   123→\t\t\t\tlastCheckpointMu.Unlock()\n   124→\n   125→\t\t\t\tnow := time.Now()\n   126→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start checkpointing (starting at %s)...\", from.Format(time.RFC3339))\n   127→\n   128→\t\t\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n   129→\t\t\t\t\tn, hostDirs, err := ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), now.Unix())\n   130→\t\t\t\t\tif err != nil {\n   131→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpointing failed: %s\", err.Error())\n   132→\t\t\t\t\t} else {\n   133→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d binary snapshot files created\", n)\n   134→\t\t\t\t\t\tlastCheckpointMu.Lock()\n   135→\t\t\t\t\t\tlastCheckpoint = now\n   136→\t\t\t\t\t\tlastCheckpointMu.Unlock()\n   137→\t\t\t\t\t\t// Rotate WAL files for successfully checkpointed hosts.\n   138→\t\t\t\t\t\tRotateWALFiles(hostDirs)\n   139→\t\t\t\t\t}\n   140→\t\t\t\t} else {\n   141→\t\t\t\t\tn, err := ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), now.Unix())\n   142→\t\t\t\t\tif err != nil {\n   143→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> checkpointing failed: %s\", err.Error())\n   144→\t\t\t\t\t} else {\n   145→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files created\", n)\n   146→\t\t\t\t\t\tlastCheckpointMu.Lock()\n   147→\t\t\t\t\t\tlastCheckpoint = now\n   148→\t\t\t\t\t\tlastCheckpointMu.Unlock()\n   149→\t\t\t\t\t}\n   150→\t\t\t\t}"}]},"uuid":"2e62ad0e-e1ca-4a62-8920-adefada05ab4","timestamp":"2026-03-16T10:19:03.257Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"08bc3ea6-5a29-40ce-a454-517965a2df69","timestamp":"2026-03-16T10:19:03.412Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"62950f86-d692-4cd6-80d5-c9ab75652eb6","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PKpit9DLQd9NqwBkhNcXKB","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package metricstore\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"errors\"\n    11→\t\"fmt\"\n    12→\t\"os\"\n    13→\t\"path/filepath\"\n    14→\t\"sync\"\n    15→\t\"sync/atomic\"\n    16→\t\"time\"\n    17→\n    18→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    19→)\n    20→\n    21→// Worker for either Archiving or Deleting files\n    22→\n    23→func CleanUp(wg *sync.WaitGroup, ctx context.Context) {\n    24→\tif Keys.Cleanup.Mode == \"archive\" {\n    25→\t\t// Run as Archiver\n    26→\t\tcleanUpWorker(wg, ctx,\n    27→\t\t\tKeys.RetentionInMemory,\n    28→\t\t\t\"archiving\",\n    29→\t\t\tKeys.Cleanup.RootDir,\n    30→\t\t\tfalse,\n    31→\t\t)\n    32→\t} else {\n    33→\t\t// Run as Deleter\n    34→\t\tcleanUpWorker(wg, ctx,\n    35→\t\t\tKeys.RetentionInMemory,\n    36→\t\t\t\"deleting\",\n    37→\t\t\t\"\",\n    38→\t\t\ttrue,\n    39→\t\t)\n    40→\t}\n    41→}\n    42→\n    43→// cleanUpWorker takes simple values to configure what it does\n    44→func cleanUpWorker(wg *sync.WaitGroup, ctx context.Context, interval string, mode string, cleanupDir string, delete bool) {\n    45→\twg.Go(func() {\n    46→\n    47→\t\td, err := time.ParseDuration(interval)\n    48→\t\tif err != nil {\n    49→\t\t\tcclog.Fatalf(\"[METRICSTORE]> error parsing %s interval duration: %v\\n\", mode, err)\n    50→\t\t}\n    51→\t\tif d <= 0 {\n    52→\t\t\treturn\n    53→\t\t}\n    54→\n    55→\t\tticker := time.NewTicker(d)\n    56→\t\tdefer ticker.Stop()\n    57→\n    58→\t\tfor {\n    59→\t\t\tselect {\n    60→\t\t\tcase <-ctx.Done():\n    61→\t\t\t\treturn\n    62→\t\t\tcase <-ticker.C:\n    63→\t\t\t\tt := time.Now().Add(-d)\n    64→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start %s checkpoints (older than %s)...\", mode, t.Format(time.RFC3339))\n    65→\n    66→\t\t\t\tn, err := CleanupCheckpoints(Keys.Checkpoints.RootDir, cleanupDir, t.Unix(), delete)\n    67→\n    68→\t\t\t\tif err != nil {\n    69→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> %s failed: %s\", mode, err.Error())\n    70→\t\t\t\t} else {\n    71→\t\t\t\t\tif delete {\n    72→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoints deleted\", n)\n    73→\t\t\t\t\t} else {\n    74→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files archived to parquet\", n)\n    75→\t\t\t\t\t}\n    76→\t\t\t\t}\n    77→\t\t\t}\n    78→\t\t}\n    79→\t})\n    80→}\n    81→\n    82→var ErrNoNewArchiveData error = errors.New(\"all data already archived\")\n    83→\n    84→// CleanupCheckpoints deletes or archives all checkpoint files older than `from`.\n    85→// When archiving, consolidates all hosts per cluster into a single Parquet file.\n    86→func CleanupCheckpoints(checkpointsDir, cleanupDir string, from int64, deleteInstead bool) (int, error) {\n    87→\tif deleteInstead {\n    88→\t\treturn deleteCheckpoints(checkpointsDir, from)\n    89→\t}\n    90→\n    91→\treturn archiveCheckpoints(checkpointsDir, cleanupDir, from)\n    92→}\n    93→\n    94→// deleteCheckpoints removes checkpoint files older than `from` across all clusters/hosts.\n    95→func deleteCheckpoints(checkpointsDir string, from int64) (int, error) {\n    96→\tentries1, err := os.ReadDir(checkpointsDir)\n    97→\tif err != nil {\n    98→\t\treturn 0, err\n    99→\t}\n   100→\n   101→\ttype workItem struct {\n   102→\t\tdir            string\n   103→\t\tcluster, host  string\n   104→\t}\n   105→\n   106→\tvar wg sync.WaitGroup\n   107→\tn, errs := int32(0), int32(0)\n   108→\twork := make(chan workItem, Keys.NumWorkers)\n   109→\n   110→\twg.Add(Keys.NumWorkers)\n   111→\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n   112→\t\tgo func() {\n   113→\t\t\tdefer wg.Done()\n   114→\t\t\tfor item := range work {\n   115→\t\t\t\tentries, err := os.ReadDir(item.dir)\n   116→\t\t\t\tif err != nil {\n   117→\t\t\t\t\tcclog.Errorf(\"error reading %s/%s: %s\", item.cluster, item.host, err.Error())\n   118→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   119→\t\t\t\t\tcontinue\n   120→\t\t\t\t}\n   121→\n   122→\t\t\t\tfiles, err := findFiles(entries, from, false)\n   123→\t\t\t\tif err != nil {\n   124→\t\t\t\t\tcclog.Errorf(\"error finding files in %s/%s: %s\", item.cluster, item.host, err.Error())\n   125→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   126→\t\t\t\t\tcontinue\n   127→\t\t\t\t}\n   128→\n   129→\t\t\t\tfor _, checkpoint := range files {\n   130→\t\t\t\t\tif err := os.Remove(filepath.Join(item.dir, checkpoint)); err != nil {\n   131→\t\t\t\t\t\tcclog.Errorf(\"error deleting %s/%s/%s: %s\", item.cluster, item.host, checkpoint, err.Error())\n   132→\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   133→\t\t\t\t\t} else {\n   134→\t\t\t\t\t\tatomic.AddInt32(&n, 1)\n   135→\t\t\t\t\t}\n   136→\t\t\t\t}\n   137→\t\t\t}\n   138→\t\t}()\n   139→\t}\n   140→\n   141→\tfor _, de1 := range entries1 {\n   142→\t\tentries2, e := os.ReadDir(filepath.Join(checkpointsDir, de1.Name()))\n   143→\t\tif e != nil {\n   144→\t\t\terr = e\n   145→\t\t\tcontinue\n   146→\t\t}\n   147→\n   148→\t\tfor _, de2 := range entries2 {\n   149→\t\t\twork <- workItem{\n   150→\t\t\t\tdir:     filepath.Join(checkpointsDir, de1.Name(), de2.Name()),"}]},"uuid":"3afe89cf-60fc-471d-ae9b-6f193b18a7a9","timestamp":"2026-03-16T10:19:03.485Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"54d4faf4-bc11-4dac-b7f7-b8bdc182f051","timestamp":"2026-03-16T10:19:03.493Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"44c09212-687c-499b-ac29-9cc0e79d8189","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FeC9fr85spYr1P3VKWY5Lc","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package main provides the entry point for the ClusterCockpit backend server.\n     7→// It orchestrates initialization of all subsystems including configuration,\n     8→// database, authentication, and the HTTP server.\n     9→package main\n    10→\n    11→import (\n    12→\t\"context\"\n    13→\t\"encoding/json\"\n    14→\t\"fmt\"\n    15→\t\"os\"\n    16→\t\"os/signal\"\n    17→\t\"runtime/debug\"\n    18→\t\"strings\"\n    19→\t\"sync\"\n    20→\t\"syscall\"\n    21→\t\"time\"\n    22→\n    23→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    24→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n    25→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    26→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n    27→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    28→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    29→\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n    30→\t\"github.com/ClusterCockpit/cc-backend/internal/taskmanager\"\n    31→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    32→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n    33→\t\"github.com/ClusterCockpit/cc-backend/web\"\n    34→\tccconf \"github.com/ClusterCockpit/cc-lib/v2/ccConfig\"\n    35→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    36→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    37→\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n    38→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    39→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n    40→\t\"github.com/google/gops/agent\"\n    41→\t\"github.com/joho/godotenv\"\n    42→\n    43→\t_ \"github.com/mattn/go-sqlite3\"\n    44→)\n    45→\n    46→const logoString = `\n    47→ _____ _           _             ____           _          _ _\n    48→/  ___| |_   _ ___| |_ ___ _ __ / ___|___   ___| | ___ __ (_) |_\n    49→| |   | | | | / __| __/ _ \\ '__| |   / _ \\ / __| |/ / '_ \\| | __|\n    50→| |___| | |_| \\__ \\ ||  __/ |  | |__| (_) | (__|   <| |_) | | |_\n    51→\\_____|_|\\__,_|___/\\__\\___|_|   \\____\\___/ \\___|_|\\_\\ .__/|_|\\__|\n    52→                                                    |_|\n    53→`\n    54→\n    55→// Environment variable names\n    56→const (\n    57→\tenvGOGC = \"GOGC\"\n    58→)\n    59→\n    60→// Default configurations\n    61→const (\n    62→\tdefaultArchiveConfig = `{\"kind\":\"file\",\"path\":\"./var/job-archive\"}`\n    63→)\n    64→\n    65→var (\n    66→\tdate    string\n    67→\tcommit  string\n    68→\tversion string\n    69→)\n    70→\n    71→func printVersion() {\n    72→\tfmt.Print(logoString)\n    73→\tfmt.Printf(\"Version:\\t%s\\n\", version)\n    74→\tfmt.Printf(\"Git hash:\\t%s\\n\", commit)\n    75→\tfmt.Printf(\"Build time:\\t%s\\n\", date)\n    76→\tfmt.Printf(\"SQL db version:\\t%d\\n\", repository.Version)\n    77→\tfmt.Printf(\"Job archive version:\\t%d\\n\", archive.Version)\n    78→}\n    79→\n    80→func initGops() error {\n    81→\tif !flagGops {\n    82→\t\treturn nil\n    83→\t}\n    84→\n    85→\tif err := agent.Listen(agent.Options{}); err != nil {\n    86→\t\treturn fmt.Errorf(\"starting gops agent: %w\", err)\n    87→\t}\n    88→\treturn nil\n    89→}\n    90→\n    91→func loadEnvironment() error {\n    92→\tif err := godotenv.Load(); err != nil {\n    93→\t\treturn fmt.Errorf(\"loading .env file: %w\", err)\n    94→\t}\n    95→\treturn nil\n    96→}\n    97→\n    98→func initConfiguration() error {\n    99→\tccconf.Init(flagConfigFile)\n   100→\n   101→\tcfg := ccconf.GetPackageConfig(\"main\")\n   102→\tif cfg == nil {\n   103→\t\treturn fmt.Errorf(\"main configuration must be present\")\n   104→\t}\n   105→\n   106→\tconfig.Init(cfg)\n   107→\treturn nil\n   108→}\n   109→\n   110→func initDatabase() error {\n   111→\tif config.Keys.DbConfig != nil {\n   112→\t\tcfg := repository.DefaultConfig()\n   113→\t\tdc := config.Keys.DbConfig\n   114→\t\tif dc.CacheSizeMB > 0 {\n   115→\t\t\tcfg.DbCacheSizeMB = dc.CacheSizeMB\n   116→\t\t}\n   117→\t\tif dc.SoftHeapLimitMB > 0 {\n   118→\t\t\tcfg.DbSoftHeapLimitMB = dc.SoftHeapLimitMB\n   119→\t\t}\n   120→\t\tif dc.MaxOpenConnections > 0 {\n   121→\t\t\tcfg.MaxOpenConnections = dc.MaxOpenConnections\n   122→\t\t}\n   123→\t\tif dc.MaxIdleConnections > 0 {\n   124→\t\t\tcfg.MaxIdleConnections = dc.MaxIdleConnections\n   125→\t\t}\n   126→\t\tif dc.ConnectionMaxIdleTimeMins > 0 {\n   127→\t\t\tcfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute\n   128→\t\t}\n   129→\t\trepository.SetConfig(cfg)\n   130→\t}\n   131→\trepository.Connect(config.Keys.DB)\n   132→\treturn nil\n   133→}\n   134→\n   135→func handleDatabaseCommands() error {\n   136→\tif flagMigrateDB {\n   137→\t\terr := repository.MigrateDB(config.Keys.DB)\n   138→\t\tif err != nil {\n   139→\t\t\treturn fmt.Errorf(\"migrating database to version %d: %w\", repository.Version, err)\n   140→\t\t}\n   141→\t\tcclog.Exitf(\"MigrateDB Success: Migrated SQLite database at '%s' to version %d.\\n\",\n   142→\t\t\tconfig.Keys.DB, repository.Version)\n   143→\t}\n   144→\n   145→\tif flagRevertDB {\n   146→\t\terr := repository.RevertDB(config.Keys.DB)\n   147→\t\tif err != nil {\n   148→\t\t\treturn fmt.Errorf(\"reverting database to version %d: %w\", repository.Version-1, err)\n   149→\t\t}\n   150→\t\tcclog.Exitf(\"RevertDB Success: Reverted SQLite database at '%s' to version %d.\\n\","}]},"uuid":"50c72db8-1193-4668-a5ab-a831c0b28297","timestamp":"2026-03-16T10:19:05.300Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"d30ca725-65e2-48c0-aa57-0340539f91b0","timestamp":"2026-03-16T10:19:05.581Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d30ca725-65e2-48c0-aa57-0340539f91b0","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:05.964Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01LJ3XxW1v5AFPnJvbZpSdmT","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UYjt9gRJmVFdedUZ3p6yHJ","name":"Grep","input":{"pattern":"taskmanager\\.Start|archiver\\.Start|metricstore\\.Init|Shutdown","type":"go","path":"/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend","output_mode":"content"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":4160,"cache_read_input_tokens":51519,"cache_creation":{"ephemeral_5m_input_tokens":4160,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7vJwiwLWsiVxoestV","uuid":"bffd57cc-e1a9-43a7-88e6-9209b4e7ffe3"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"c34bac75-fe5d-4d7a-9b2c-eac17e5107ab","timestamp":"2026-03-16T10:19:05.965Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"c34bac75-fe5d-4d7a-9b2c-eac17e5107ab","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UYjt9gRJmVFdedUZ3p6yHJ","type":"tool_result","content":"cmd/cc-backend/main.go:343:\t\tmetricstore.Init(mscfg, metrics, &wg)\ncmd/cc-backend/main.go:373:\tarchiver.Start(repository.GetJobRepository(), ctx)\ncmd/cc-backend/main.go:374:\ttaskmanager.Start(ccconf.GetPackageConfig(\"cron\"), ccconf.GetPackageConfig(\"archive\"))\ncmd/cc-backend/main.go:406:\t\t\tcclog.Info(\"Shutdown signal received\")\ncmd/cc-backend/main.go:411:\t\tsrv.Shutdown(ctx)\ncmd/cc-backend/main.go:412:\t\tutil.FsWatcherShutdown()\ncmd/cc-backend/main.go:413:\t\ttaskmanager.Shutdown()\ncmd/cc-backend/server.go:407:\t\tif err := s.server.Shutdown(shutdownCtx); err != nil {\ncmd/cc-backend/server.go:418:func (s *Server) Shutdown(ctx context.Context) {\ncmd/cc-backend/server.go:429:\tif err := s.server.Shutdown(shutdownCtx); err != nil {\ncmd/cc-backend/server.go:437:\t\tmetricstore.Shutdown()\ncmd/cc-backend/server.go:440:\t// Shutdown archiver with 10 second timeout for fast shutdown\ncmd/cc-backend/server.go:441:\tif err := archiver.Shutdown(10 * time.Second); err != nil {"}]},"uuid":"73ab8bde-0953-4ec8-9bd7-3f54d658a02e","timestamp":"2026-03-16T10:19:05.985Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"b3aad3d9-92aa-4500-bffb-d390c8a27614","timestamp":"2026-03-16T10:19:05.986Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"e7152bfa-6d65-4375-9200-50ded51bd86b","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ST4386xqZyT4q6mcKciHXA","type":"tool_result","content":"   200→\n   201→\t\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n   202→\t\tif err != nil {\n   203→\t\t\thandleError(err, http.StatusInternalServerError, rw)\n   204→\t\t\treturn\n   205→\t\t}\n   206→\n   207→\t\tif job.MonitoringStatus == schema.MonitoringStatusArchivingSuccessful {\n   208→\t\t\tjob.Statistics, err = archive.GetStatistics(job)\n   209→\t\t\tif err != nil {\n   210→\t\t\t\thandleError(err, http.StatusInternalServerError, rw)\n   211→\t\t\t\treturn\n   212→\t\t\t}\n   213→\t\t}\n   214→\n   215→\t\tresults = append(results, job)\n   216→\t}\n   217→\n   218→\tcclog.Debugf(\"/api/jobs: %d jobs returned\", len(results))\n   219→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   220→\tbw := bufio.NewWriter(rw)\n   221→\tdefer bw.Flush()\n   222→\n   223→\tpayload := GetJobsAPIResponse{\n   224→\t\tJobs:  results,\n   225→\t\tItems: page.ItemsPerPage,\n   226→\t\tPage:  page.Page,\n   227→\t}\n   228→\n   229→\tif err := json.NewEncoder(bw).Encode(payload); err != nil {\n   230→\t\thandleError(err, http.StatusInternalServerError, rw)\n   231→\t\treturn\n   232→\t}\n   233→}\n   234→\n   235→// getCompleteJobByID godoc\n   236→// @summary   Get job meta and optional all metric data\n   237→// @tags Job query\n   238→// @description Job to get is specified by database ID\n   239→// @description Returns full job resource information according to 'Job' scheme and all metrics according to 'JobData'.\n   240→// @produce     json\n   241→// @param       id          path     int                  true \"Database ID of Job\"\n   242→// @param       all-metrics query    bool                 false \"Include all available metrics\"\n   243→// @success     200     {object} api.GetJobAPIResponse      \"Job resource\"\n   244→// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n   245→// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n   246→// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n   247→// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n   248→// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n   249→// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n   250→// @security    ApiKeyAuth\n   251→// @router      /api/jobs/{id} [get]\n   252→func (api *RestAPI) getCompleteJobByID(rw http.ResponseWriter, r *http.Request) {\n   253→\t// Fetch job from db\n   254→\tid := chi.URLParam(r, \"id\")\n   255→\tvar job *schema.Job\n   256→\tvar err error\n   257→\tif id != \"\" {\n   258→\t\tid, e := strconv.ParseInt(id, 10, 64)\n   259→\t\tif e != nil {\n   260→\t\t\thandleError(fmt.Errorf(\"integer expected in path for id: %w\", e), http.StatusBadRequest, rw)\n   261→\t\t\treturn\n   262→\t\t}\n   263→\n   264→\t\tjob, err = api.JobRepository.FindByID(r.Context(), id) // Get Job from Repo by ID\n   265→\t} else {\n   266→\t\thandleError(fmt.Errorf(\"the parameter 'id' is required\"), http.StatusBadRequest, rw)\n   267→\t\treturn\n   268→\t}\n   269→\tif err != nil {\n   270→\t\thandleError(fmt.Errorf(\"finding job with db id %s failed: %w\", id, err), http.StatusUnprocessableEntity, rw)\n   271→\t\treturn\n   272→\t}\n   273→\n   274→\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n   275→\tif err != nil {\n   276→\t\thandleError(err, http.StatusInternalServerError, rw)\n   277→\t\treturn\n   278→\n   279→\t}\n   280→\tif _, err = api.JobRepository.FetchMetadata(job); err != nil {\n   281→\n   282→\t\thandleError(err, http.StatusInternalServerError, rw)\n   283→\t\treturn\n   284→\t}\n   285→\n   286→\tvar scopes []schema.MetricScope\n   287→\n   288→\tif job.NumNodes == 1 {\n   289→\t\tscopes = []schema.MetricScope{\"core\"}\n   290→\t} else {\n   291→\t\tscopes = []schema.MetricScope{\"node\"}\n   292→\t}\n   293→\n   294→\tvar data schema.JobData\n   295→\n   296→\tmetricConfigs := archive.GetCluster(job.Cluster).MetricConfig\n   297→\tresolution := 0\n   298→\n   299→\tfor _, mc := range metricConfigs {\n   300→\t\tresolution = max(resolution, mc.Timestep)\n   301→\t}\n   302→\n   303→\tif r.URL.Query().Get(\"all-metrics\") == \"true\" {\n   304→\t\tdata, err = metricdispatch.LoadData(job, nil, scopes, r.Context(), resolution)\n   305→\t\tif err != nil {\n   306→\t\t\tcclog.Warnf(\"REST: error while loading all-metrics job data for JobID %d on %s\", job.JobID, job.Cluster)\n   307→\t\t\treturn\n   308→\t\t}\n   309→\t}\n   310→\n   311→\tcclog.Debugf(\"/api/job/%s: get job %d\", id, job.JobID)\n   312→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   313→\tbw := bufio.NewWriter(rw)\n   314→\tdefer bw.Flush()\n   315→\n   316→\tpayload := GetCompleteJobAPIResponse{\n   317→\t\tMeta: job,\n   318→\t\tData: data,\n   319→\t}\n   320→\n   321→\tif err := json.NewEncoder(bw).Encode(payload); err != nil {\n   322→\t\thandleError(err, http.StatusInternalServerError, rw)\n   323→\t\treturn\n   324→\t}\n   325→}\n   326→\n   327→// getJobByID godoc\n   328→// @summary   Get job meta and configurable metric data\n   329→// @tags Job query\n   330→// @description Job to get is specified by database ID\n   331→// @description Returns full job resource information according to 'Job' scheme and all metrics according to 'JobData'.\n   332→// @accept      json\n   333→// @produce     json\n   334→// @param       id          path     int                  true \"Database ID of Job\"\n   335→// @param       request     body     api.GetJobAPIRequest true  \"Array of metric names\"\n   336→// @success     200     {object} api.GetJobAPIResponse      \"Job resource\"\n   337→// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n   338→// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n   339→// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n   340→// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n   341→// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n   342→// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n   343→// @security    ApiKeyAuth\n   344→// @router      /api/jobs/{id} [post]\n   345→func (api *RestAPI) getJobByID(rw http.ResponseWriter, r *http.Request) {\n   346→\t// Fetch job from db\n   347→\tid := chi.URLParam(r, \"id\")\n   348→\tvar job *schema.Job\n   349→\tvar err error\n   350→\tif id != \"\" {\n   351→\t\tid, e := strconv.ParseInt(id, 10, 64)\n   352→\t\tif e != nil {\n   353→\t\t\thandleError(fmt.Errorf(\"integer expected in path for id: %w\", e), http.StatusBadRequest, rw)\n   354→\t\t\treturn\n   355→\t\t}\n   356→\n   357→\t\tjob, err = api.JobRepository.FindByID(r.Context(), id)\n   358→\t} else {\n   359→\t\thandleError(errors.New(\"the parameter 'id' is required\"), http.StatusBadRequest, rw)\n   360→\t\treturn\n   361→\t}\n   362→\tif err != nil {\n   363→\t\thandleError(fmt.Errorf(\"finding job with db id %s failed: %w\", id, err), http.StatusUnprocessableEntity, rw)\n   364→\t\treturn\n   365→\t}\n   366→\n   367→\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n   368→\tif err != nil {\n   369→\t\thandleError(err, http.StatusInternalServerError, rw)\n   370→\t\treturn\n   371→\n   372→\t}\n   373→\tif _, err = api.JobRepository.FetchMetadata(job); err != nil {\n   374→\n   375→\t\thandleError(err, http.StatusInternalServerError, rw)\n   376→\t\treturn\n   377→\t}\n   378→\n   379→\tvar metrics GetJobAPIRequest\n   380→\tif err = decode(r.Body, &metrics); err != nil {\n   381→\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n   382→\t\treturn\n   383→\t}\n   384→\n   385→\tvar scopes []schema.MetricScope\n   386→\n   387→\tif job.NumNodes == 1 {\n   388→\t\tscopes = []schema.MetricScope{\"core\"}\n   389→\t} else {\n   390→\t\tscopes = []schema.MetricScope{\"node\"}\n   391→\t}\n   392→\n   393→\tmetricConfigs := archive.GetCluster(job.Cluster).MetricConfig\n   394→\tresolution := 0\n   395→\n   396→\tfor _, mc := range metricConfigs {\n   397→\t\tresolution = max(resolution, mc.Timestep)\n   398→\t}\n   399→\n   400→\tdata, err := metricdispatch.LoadData(job, metrics, scopes, r.Context(), resolution)\n   401→\tif err != nil {\n   402→\t\tcclog.Warnf(\"REST: error while loading job data for JobID %d on %s\", job.JobID, job.Cluster)\n   403→\t\treturn\n   404→\t}\n   405→\n   406→\tres := []*JobMetricWithName{}\n   407→\tfor name, md := range data {\n   408→\t\tfor scope, metric := range md {\n   409→\t\t\tres = append(res, &JobMetricWithName{\n   410→\t\t\t\tName:   name,\n   411→\t\t\t\tScope:  scope,\n   412→\t\t\t\tMetric: metric,\n   413→\t\t\t})\n   414→\t\t}\n   415→\t}\n   416→\n   417→\tcclog.Debugf(\"/api/job/%s: get job %d\", id, job.JobID)\n   418→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   419→\tbw := bufio.NewWriter(rw)\n   420→\tdefer bw.Flush()\n   421→\n   422→\tpayload := GetJobAPIResponse{\n   423→\t\tMeta: job,\n   424→\t\tData: res,\n   425→\t}\n   426→\n   427→\tif err := json.NewEncoder(bw).Encode(payload); err != nil {\n   428→\t\thandleError(err, http.StatusInternalServerError, rw)\n   429→\t\treturn\n   430→\t}\n   431→}\n   432→\n   433→// editMeta godoc\n   434→// @summary    Edit meta-data json of job identified by database id\n   435→// @tags Job add and modify\n   436→// @description Edit key value pairs in job metadata json of job specified by database id\n   437→// @description If a key already exists its content will be overwritten\n   438→// @accept      json\n   439→// @produce     json\n   440→// @param       id      path     int                  true \"Job Database ID\"\n   441→// @param       request body     api.EditMetaRequest  true \"Metadata Key value pair to add or update\"\n   442→// @success     200     {object} schema.Job                \"Updated job resource\"\n   443→// @failure     400     {object} api.ErrorResponse         \"Bad Request\"\n   444→// @failure     401     {object} api.ErrorResponse         \"Unauthorized\"\n   445→// @failure     404     {object} api.ErrorResponse         \"Job does not exist\"\n   446→// @failure     500     {object} api.ErrorResponse         \"Internal Server Error\"\n   447→// @security    ApiKeyAuth\n   448→// @router      /api/jobs/edit_meta/{id} [patch]\n   449→func (api *RestAPI) editMeta(rw http.ResponseWriter, r *http.Request) {\n   450→\tid, err := strconv.ParseInt(chi.URLParam(r, \"id\"), 10, 64)\n   451→\tif err != nil {\n   452→\t\thandleError(fmt.Errorf(\"parsing job ID failed: %w\", err), http.StatusBadRequest, rw)\n   453→\t\treturn\n   454→\t}\n   455→\n   456→\tjob, err := api.JobRepository.FindByID(r.Context(), id)\n   457→\tif err != nil {\n   458→\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n   459→\t\treturn\n   460→\t}\n   461→\n   462→\tvar req EditMetaRequest\n   463→\tif err := decode(r.Body, &req); err != nil {\n   464→\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n   465→\t\treturn\n   466→\t}\n   467→\n   468→\tif err := api.JobRepository.UpdateMetadata(job, req.Key, req.Value); err != nil {\n   469→\t\thandleError(fmt.Errorf(\"updating metadata failed: %w\", err), http.StatusInternalServerError, rw)\n   470→\t\treturn\n   471→\t}\n   472→\n   473→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   474→\trw.WriteHeader(http.StatusOK)\n   475→\tif err := json.NewEncoder(rw).Encode(job); err != nil {\n   476→\t\tcclog.Errorf(\"Failed to encode job response: %v\", err)\n   477→\t}\n   478→}\n   479→\n   480→// editMetaByRequest godoc\n   481→// @summary    Edit meta-data json of job identified by request\n   482→// @tags Job add and modify\n   483→// @description Edit key value pairs in metadata json of job specified by jobID, StartTime and Cluster\n   484→// @description If a key already exists its content will be overwritten\n   485→// @accept      json\n   486→// @produce     json\n   487→// @param       request body     api.JobMetaRequest   true \"Specifies job and payload to add or update\"\n   488→// @success     200     {object} schema.Job                \"Updated job resource\"\n   489→// @failure     400     {object} api.ErrorResponse         \"Bad Request\"\n   490→// @failure     401     {object} api.ErrorResponse         \"Unauthorized\"\n   491→// @failure     404     {object} api.ErrorResponse         \"Job does not exist\"\n   492→// @failure     500     {object} api.ErrorResponse         \"Internal Server Error\"\n   493→// @security    ApiKeyAuth\n   494→// @router      /api/jobs/edit_meta/ [patch]\n   495→func (api *RestAPI) editMetaByRequest(rw http.ResponseWriter, r *http.Request) {\n   496→\t// Parse request body\n   497→\treq := JobMetaRequest{}\n   498→\tif err := decode(r.Body, &req); err != nil {\n   499→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)"}]},"uuid":"3aca981d-fe49-453f-82cf-6319171ebbf9","timestamp":"2026-03-16T10:19:06.006Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"edce2b88-2759-4c51-b31d-29c1b6aeb546","timestamp":"2026-03-16T10:19:06.020Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"edce2b88-2759-4c51-b31d-29c1b6aeb546","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:06.431Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01DxpC6YbHcoNjtiTW1NMxbh","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MiiSRGfwasnG3PuKjzkPC8","name":"Grep","input":{"pattern":"UpdateMonitoringStatus|UpdateFootprint|Flush|Exec|NamedExec","type":"go","path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository","output_mode":"content","context":3},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":6439,"cache_read_input_tokens":95757,"cache_creation":{"ephemeral_5m_input_tokens":6439,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7t5WKiozU5nptw7kh","uuid":"4943f452-5595-4151-a6ba-7f1011d0f644"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"3fd6f3e6-3127-4a03-abcc-ae1bfc60d1d7","timestamp":"2026-03-16T10:19:06.432Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"3fd6f3e6-3127-4a03-abcc-ae1bfc60d1d7","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MiiSRGfwasnG3PuKjzkPC8","type":"tool_result","content":"<persisted-output>\nOutput too large (59.9KB). Full output saved to: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/3a41c7a4-abf8-484b-96ae-ee5618eea5ba/tool-results/REDACTED.txt\n\nPreview (first 2KB):\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-182-func (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-183-\tvar err error\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-184-\ninternal/repository/node.go:185:\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-186-\tif err != nil {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-187-\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-188-\t\treturn 0, err\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-235-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-236-\tnodeState.NodeID = id\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-237-\ninternal/repository/node.go:238:\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-239-\tif err != nil {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-240-\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-241-\t\treturn err\n--\ninternal/repository/node.go-291-\t\t\t\tnode := schema.NodeDB{\ninternal/repository/node.go-292-\t\t\t\t\tHostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-293-\t\t\t\t}\ninternal/repository/node.go:294:\t\t\t\tres, insertErr := stmtInsertNode.Exec(&node)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-295-\t\t\t\tif insertErr != nil {\ninternal/repository/node.go-296-\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)\n...\n</persisted-output>"}]},"uuid":"d30021bc-4ee6-4b6e-b76e-08c23a46fd13","timestamp":"2026-03-16T10:19:06.464Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"53842970-bfd8-45d9-9db5-c4fd5644003e","timestamp":"2026-03-16T10:19:06.465Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"53842970-bfd8-45d9-9db5-c4fd5644003e","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:06.863Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01RfkJoCKpmSkkNoRyqKbSR9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LYGKz8XvJ4VHn5vxmxi8mt","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go","offset":545,"limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":551,"cache_read_input_tokens":45041,"cache_creation":{"ephemeral_5m_input_tokens":551,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b84sPbjgj2H6Ltr78S","uuid":"311dd5b9-e19e-4a97-aef9-c30a408d6c44"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"2b5f3bf9-c722-4635-be91-2c9a22ddb906","timestamp":"2026-03-16T10:19:06.864Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"2b5f3bf9-c722-4635-be91-2c9a22ddb906","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LYGKz8XvJ4VHn5vxmxi8mt","type":"tool_result","content":"   545→func (api *RestAPI) tagJob(rw http.ResponseWriter, r *http.Request) {\n   546→\tid, err := strconv.ParseInt(chi.URLParam(r, \"id\"), 10, 64)\n   547→\tif err != nil {\n   548→\t\thandleError(fmt.Errorf(\"parsing job ID failed: %w\", err), http.StatusBadRequest, rw)\n   549→\t\treturn\n   550→\t}\n   551→\n   552→\tjob, err := api.JobRepository.FindByID(r.Context(), id)\n   553→\tif err != nil {\n   554→\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n   555→\t\treturn\n   556→\t}\n   557→\n   558→\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n   559→\tif err != nil {\n   560→\t\thandleError(fmt.Errorf(\"getting tags failed: %w\", err), http.StatusInternalServerError, rw)\n   561→\t\treturn\n   562→\t}\n   563→\n   564→\tvar req TagJobAPIRequest\n   565→\tif err := decode(r.Body, &req); err != nil {\n   566→\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n   567→\t\treturn\n   568→\t}\n   569→\n   570→\tfor _, tag := range req {\n   571→\t\ttagID, err := api.JobRepository.AddTagOrCreate(repository.GetUserFromContext(r.Context()), *job.ID, tag.Type, tag.Name, tag.Scope)\n   572→\t\tif err != nil {\n   573→\t\t\thandleError(fmt.Errorf(\"adding tag failed: %w\", err), http.StatusInternalServerError, rw)\n   574→\t\t\treturn\n   575→\t\t}\n   576→\n   577→\t\tjob.Tags = append(job.Tags, &schema.Tag{\n   578→\t\t\tID:    tagID,\n   579→\t\t\tType:  tag.Type,\n   580→\t\t\tName:  tag.Name,\n   581→\t\t\tScope: tag.Scope,\n   582→\t\t})\n   583→\t}\n   584→\n   585→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   586→\trw.WriteHeader(http.StatusOK)\n   587→\tif err := json.NewEncoder(rw).Encode(job); err != nil {\n   588→\t\tcclog.Errorf(\"Failed to encode job response: %v\", err)\n   589→\t}\n   590→}\n   591→\n   592→// removeTagJob godoc\n   593→// @summary     Removes one or more tags from a job\n   594→// @tags Job add and modify\n   595→// @description Removes tag(s) from a job specified by DB ID. Name and Type of Tag(s) must match.\n   596→// @description Tag Scope is required for matching, options: \"global\", \"admin\". Private tags can not be deleted via API.\n   597→// @description If tagged job is already finished: Tag will be removed from respective archive files.\n   598→// @accept      json\n   599→// @produce     json\n   600→// @param       id      path     int                  true \"Job Database ID\"\n   601→// @param       request body     api.TagJobAPIRequest true \"Array of tag-objects to remove\"\n   602→// @success     200     {object} schema.Job                \"Updated job resource\"\n   603→// @failure     400     {object} api.ErrorResponse         \"Bad Request\"\n   604→// @failure     401     {object} api.ErrorResponse         \"Unauthorized\"\n   605→// @failure     404     {object} api.ErrorResponse         \"Job or tag does not exist\"\n   606→// @failure     500     {object} api.ErrorResponse         \"Internal Server Error\"\n   607→// @security    ApiKeyAuth\n   608→// @router      /jobs/tag_job/{id} [delete]\n   609→func (api *RestAPI) removeTagJob(rw http.ResponseWriter, r *http.Request) {\n   610→\tid, err := strconv.ParseInt(chi.URLParam(r, \"id\"), 10, 64)\n   611→\tif err != nil {\n   612→\t\thandleError(fmt.Errorf(\"parsing job ID failed: %w\", err), http.StatusBadRequest, rw)\n   613→\t\treturn\n   614→\t}\n   615→\n   616→\tjob, err := api.JobRepository.FindByID(r.Context(), id)\n   617→\tif err != nil {\n   618→\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n   619→\t\treturn\n   620→\t}\n   621→\n   622→\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n   623→\tif err != nil {\n   624→\t\thandleError(fmt.Errorf(\"getting tags failed: %w\", err), http.StatusInternalServerError, rw)\n   625→\t\treturn\n   626→\t}\n   627→\n   628→\tvar req TagJobAPIRequest\n   629→\tif err := decode(r.Body, &req); err != nil {\n   630→\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n   631→\t\treturn\n   632→\t}\n   633→\n   634→\tfor _, rtag := range req {\n   635→\t\t// Only Global and Admin Tags\n   636→\t\tif rtag.Scope != \"global\" && rtag.Scope != \"admin\" {\n   637→\t\t\tcclog.Warnf(\"Cannot delete private tag for job %d: Skip\", job.JobID)\n   638→\t\t\tcontinue\n   639→\t\t}\n   640→\n   641→\t\tremainingTags, err := api.JobRepository.RemoveJobTagByRequest(repository.GetUserFromContext(r.Context()), *job.ID, rtag.Type, rtag.Name, rtag.Scope)\n   642→\t\tif err != nil {\n   643→\t\t\thandleError(fmt.Errorf(\"removing tag failed: %w\", err), http.StatusInternalServerError, rw)\n   644→\t\t\treturn\n   645→\t\t}\n   646→\n   647→\t\tjob.Tags = remainingTags\n   648→\t}\n   649→\n   650→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   651→\trw.WriteHeader(http.StatusOK)\n   652→\tif err := json.NewEncoder(rw).Encode(job); err != nil {\n   653→\t\tcclog.Errorf(\"Failed to encode job response: %v\", err)\n   654→\t}\n   655→}\n   656→\n   657→// removeTags godoc\n   658→// @summary     Removes all tags and job-relations for type:name tuple\n   659→// @tags Tag remove\n   660→// @description Removes tags by type and name. Name and Type of Tag(s) must match.\n   661→// @description Tag Scope is required for matching, options: \"global\", \"admin\". Private tags can not be deleted via API.\n   662→// @description Tag wills be removed from respective archive files.\n   663→// @accept      json\n   664→// @produce     plain\n   665→// @param       request body     api.TagJobAPIRequest true \"Array of tag-objects to remove\"\n   666→// @success     200     {string} string                    \"Success Response\"\n   667→// @failure     400     {object} api.ErrorResponse         \"Bad Request\"\n   668→// @failure     401     {object} api.ErrorResponse         \"Unauthorized\"\n   669→// @failure     404     {object} api.ErrorResponse         \"Job or tag does not exist\"\n   670→// @failure     500     {object} api.ErrorResponse         \"Internal Server Error\"\n   671→// @security    ApiKeyAuth\n   672→// @router      /tags/ [delete]\n   673→func (api *RestAPI) removeTags(rw http.ResponseWriter, r *http.Request) {\n   674→\tvar req TagJobAPIRequest\n   675→\tif err := decode(r.Body, &req); err != nil {\n   676→\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n   677→\t\treturn\n   678→\t}\n   679→\n   680→\ttargetCount := len(req)\n   681→\tcurrentCount := 0\n   682→\tfor _, rtag := range req {\n   683→\t\t// Only Global and Admin Tags\n   684→\t\tif rtag.Scope != \"global\" && rtag.Scope != \"admin\" {\n   685→\t\t\tcclog.Warn(\"Cannot delete private tag: Skip\")\n   686→\t\t\tcontinue\n   687→\t\t}\n   688→\n   689→\t\terr := api.JobRepository.RemoveTagByRequest(rtag.Type, rtag.Name, rtag.Scope)\n   690→\t\tif err != nil {\n   691→\t\t\thandleError(fmt.Errorf(\"removing tag failed: %w\", err), http.StatusInternalServerError, rw)\n   692→\t\t\treturn\n   693→\t\t}\n   694→\t\tcurrentCount++"}]},"uuid":"4640341b-02e3-4fc7-9da4-4b8ac5b807c2","timestamp":"2026-03-16T10:19:06.875Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"304b8a57-a0f3-449b-af1f-efae4b9ee82b","timestamp":"2026-03-16T10:19:07.092Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"304b8a57-a0f3-449b-af1f-efae4b9ee82b","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:07.284Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01RfkJoCKpmSkkNoRyqKbSR9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GYNNrKhPhhwkDPePmbnzqP","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go","offset":717,"limit":100},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":551,"cache_read_input_tokens":45041,"cache_creation":{"ephemeral_5m_input_tokens":551,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b84sPbjgj2H6Ltr78S","uuid":"0e2319e1-a334-406c-b861-a62b8cc4a2d1"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"e9d92599-e7a0-4dfd-9cdd-d2f2df72175f","timestamp":"2026-03-16T10:19:07.284Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"e9d92599-e7a0-4dfd-9cdd-d2f2df72175f","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GYNNrKhPhhwkDPePmbnzqP","type":"tool_result","content":"   717→func (api *RestAPI) startJob(rw http.ResponseWriter, r *http.Request) {\n   718→\treq := schema.Job{\n   719→\t\tShared:           \"none\",\n   720→\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n   721→\t}\n   722→\tif err := decode(r.Body, &req); err != nil {\n   723→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n   724→\t\treturn\n   725→\t}\n   726→\n   727→\tcclog.Debugf(\"REST: %s\", req.GoString())\n   728→\treq.State = schema.JobStateRunning\n   729→\n   730→\tif err := importer.SanityChecks(&req); err != nil {\n   731→\t\thandleError(err, http.StatusBadRequest, rw)\n   732→\t\treturn\n   733→\t}\n   734→\n   735→\t// aquire lock to avoid race condition between API calls\n   736→\tvar unlockOnce sync.Once\n   737→\tapi.RepositoryMutex.Lock()\n   738→\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n   739→\n   740→\t// Check if combination of (job_id, cluster_id, start_time) already exists:\n   741→\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n   742→\tif err != nil && err != sql.ErrNoRows {\n   743→\t\thandleError(fmt.Errorf(\"checking for duplicate failed: %w\", err), http.StatusInternalServerError, rw)\n   744→\t\treturn\n   745→\t}\n   746→\tif err == nil {\n   747→\t\tfor _, job := range jobs {\n   748→\t\t\t// Check if jobs are within the same day (prevent duplicates)\n   749→\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n   750→\t\t\t\thandleError(fmt.Errorf(\"a job with that jobId, cluster and startTime already exists: dbid: %d, jobid: %d\", *job.ID, job.JobID), http.StatusUnprocessableEntity, rw)\n   751→\t\t\t\treturn\n   752→\t\t\t}\n   753→\t\t}\n   754→\t}\n   755→\n   756→\t// When tags are present, insert directly into the job table so that the\n   757→\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n   758→\t// Jobs without tags use the cache path as before.\n   759→\tvar id int64\n   760→\tif len(req.Tags) > 0 {\n   761→\t\tid, err = api.JobRepository.StartDirect(&req)\n   762→\t} else {\n   763→\t\tid, err = api.JobRepository.Start(&req)\n   764→\t}\n   765→\tif err != nil {\n   766→\t\thandleError(fmt.Errorf(\"insert into database failed: %w\", err), http.StatusInternalServerError, rw)\n   767→\t\treturn\n   768→\t}\n   769→\t// unlock here, adding Tags can be async\n   770→\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n   771→\n   772→\tfor _, tag := range req.Tags {\n   773→\t\tif _, err := api.JobRepository.AddTagOrCreate(repository.GetUserFromContext(r.Context()), id, tag.Type, tag.Name, tag.Scope); err != nil {\n   774→\t\t\thandleError(fmt.Errorf(\"adding tag to new job %d failed: %w\", id, err), http.StatusInternalServerError, rw)\n   775→\t\t\treturn\n   776→\t\t}\n   777→\t}\n   778→\n   779→\tcclog.Infof(\"new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\", id, req.Cluster, req.JobID, req.User, req.StartTime)\n   780→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   781→\trw.WriteHeader(http.StatusCreated)\n   782→\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{\n   783→\t\tMessage: \"success\",\n   784→\t}); err != nil {\n   785→\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n   786→\t}\n   787→}\n   788→\n   789→// stopJobByRequest godoc\n   790→// @summary     Marks job as completed and triggers archiving\n   791→// @tags Job add and modify\n   792→// @description Job to stop is specified by request body. All fields are required in this case.\n   793→// @description Returns full job resource information according to 'Job' scheme.\n   794→// @produce     json\n   795→// @param       request body     api.StopJobAPIRequest true \"All fields required\"\n   796→// @success     200     {object} schema.Job                 \"Success message\"\n   797→// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n   798→// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n   799→// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n   800→// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n   801→// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: job has already been stopped\"\n   802→// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n   803→// @security    ApiKeyAuth\n   804→// @router      /api/jobs/stop_job/ [post]\n   805→func (api *RestAPI) stopJobByRequest(rw http.ResponseWriter, r *http.Request) {\n   806→\t// Parse request body\n   807→\treq := StopJobAPIRequest{}\n   808→\tif err := decode(r.Body, &req); err != nil {\n   809→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n   810→\t\treturn\n   811→\t}\n   812→\n   813→\t// Fetch job (that will be stopped) from db\n   814→\tvar job *schema.Job\n   815→\tvar err error\n   816→\tif req.JobID == nil {"}]},"uuid":"d7765e85-64ef-4bf3-b716-26095eaada66","timestamp":"2026-03-16T10:19:07.295Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"0eee65f7-a69b-4e94-a68a-ac89d15acfd0","timestamp":"2026-03-16T10:19:07.296Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"0eee65f7-a69b-4e94-a68a-ac89d15acfd0","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:07.443Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01RfkJoCKpmSkkNoRyqKbSR9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ExpCisrNRq5BUKnBPYePbU","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go","offset":805,"limit":100},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":551,"cache_read_input_tokens":45041,"cache_creation":{"ephemeral_5m_input_tokens":551,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b84sPbjgj2H6Ltr78S","uuid":"b66e4a22-d59c-4183-b793-e7dc34d3321f"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"fa2f6f68-d860-4d91-9f2a-6ba0f5ad4477","timestamp":"2026-03-16T10:19:07.444Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"fa2f6f68-d860-4d91-9f2a-6ba0f5ad4477","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ExpCisrNRq5BUKnBPYePbU","type":"tool_result","content":"   805→func (api *RestAPI) stopJobByRequest(rw http.ResponseWriter, r *http.Request) {\n   806→\t// Parse request body\n   807→\treq := StopJobAPIRequest{}\n   808→\tif err := decode(r.Body, &req); err != nil {\n   809→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n   810→\t\treturn\n   811→\t}\n   812→\n   813→\t// Fetch job (that will be stopped) from db\n   814→\tvar job *schema.Job\n   815→\tvar err error\n   816→\tif req.JobID == nil {\n   817→\t\thandleError(errors.New(\"the field 'jobId' is required\"), http.StatusBadRequest, rw)\n   818→\t\treturn\n   819→\t}\n   820→\n   821→\tisCached := false\n   822→\tjob, err = api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n   823→\tif err != nil {\n   824→\t\t// Not in cache, try main job table\n   825→\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n   826→\t\tif err != nil {\n   827→\t\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n   828→\t\t\treturn\n   829→\t\t}\n   830→\t} else {\n   831→\t\tisCached = true\n   832→\t}\n   833→\n   834→\tapi.checkAndHandleStopJob(rw, job, req, isCached)\n   835→}\n   836→\n   837→// deleteJobByID godoc\n   838→// @summary     Remove a job from the sql database\n   839→// @tags Job remove\n   840→// @description Job to remove is specified by database ID. This will not remove the job from the job archive.\n   841→// @produce     json\n   842→// @param       id      path     int                   true \"Database ID of Job\"\n   843→// @success     200     {object} api.DefaultAPIResponse  \"Success message\"\n   844→// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n   845→// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n   846→// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n   847→// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n   848→// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n   849→// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n   850→// @security    ApiKeyAuth\n   851→// @router      /api/jobs/delete_job/{id} [delete]\n   852→func (api *RestAPI) deleteJobByID(rw http.ResponseWriter, r *http.Request) {\n   853→\t// Fetch job (that will be stopped) from db\n   854→\tid := chi.URLParam(r, \"id\")\n   855→\tvar err error\n   856→\tif id != \"\" {\n   857→\t\tid, e := strconv.ParseInt(id, 10, 64)\n   858→\t\tif e != nil {\n   859→\t\t\thandleError(fmt.Errorf(\"integer expected in path for id: %w\", e), http.StatusBadRequest, rw)\n   860→\t\t\treturn\n   861→\t\t}\n   862→\n   863→\t\terr = api.JobRepository.DeleteJobByID(id)\n   864→\t} else {\n   865→\t\thandleError(errors.New(\"the parameter 'id' is required\"), http.StatusBadRequest, rw)\n   866→\t\treturn\n   867→\t}\n   868→\tif err != nil {\n   869→\t\thandleError(fmt.Errorf(\"deleting job failed: %w\", err), http.StatusUnprocessableEntity, rw)\n   870→\t\treturn\n   871→\t}\n   872→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   873→\trw.WriteHeader(http.StatusOK)\n   874→\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{\n   875→\t\tMessage: fmt.Sprintf(\"Successfully deleted job %s\", id),\n   876→\t}); err != nil {\n   877→\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n   878→\t}\n   879→}\n   880→\n   881→// deleteJobByRequest godoc\n   882→// @summary     Remove a job from the sql database\n   883→// @tags Job remove\n   884→// @description Job to delete is specified by request body. All fields are required in this case.\n   885→// @accept      json\n   886→// @produce     json\n   887→// @param       request body     api.DeleteJobAPIRequest true \"All fields required\"\n   888→// @success     200     {object} api.DefaultAPIResponse  \"Success message\"\n   889→// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n   890→// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n   891→// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n   892→// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n   893→// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n   894→// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n   895→// @security    ApiKeyAuth\n   896→// @router      /api/jobs/delete_job/ [delete]\n   897→func (api *RestAPI) deleteJobByRequest(rw http.ResponseWriter, r *http.Request) {\n   898→\t// Parse request body\n   899→\treq := DeleteJobAPIRequest{}\n   900→\tif err := decode(r.Body, &req); err != nil {\n   901→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n   902→\t\treturn\n   903→\t}\n   904→"}]},"uuid":"e00c7de5-7f86-4b5f-8f7f-cddb9406d9d7","timestamp":"2026-03-16T10:19:07.464Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"63ba61f9-1114-4898-baad-474edfedd759","timestamp":"2026-03-16T10:19:07.466Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"8906c93f-4756-4ed1-9db1-3a07f271140c","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015Qpf28zLY44uQaMyphVp5G","type":"tool_result","content":"internal/repository/job.go-192-\t\treturn fmt.Errorf(\"failed to optimize database: %w\", err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-193-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-194-\treturn nil\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-195-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-196-\ninternal/repository/job.go:197:// Flush removes all data from job-related tables (jobtag, tag, job).\ninternal/repository/job.go-198-/ WARNING: This is a destructive operation that deletes all job data.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-199-// Use with extreme caution, typically only for testing or complete resets.\ninternal/repository/job.go:200:func (r *JobRepository) Flush() error {\ninternal/repository/job.go-201-\tif _, err := r.DB.Exec(`DELETE FROM jobtag`); err != nil {\ninternal/repository/job.go-202-\t\tcclog.Errorf(\"Error while deleting from jobtag table: %v\", err)\ninternal/repository/job.go-203-\t\treturn fmt.Errorf(\"failed to flush jobtag table: %w\", err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-204-\t}\ninternal/repository/job.go-205-\tif _, err := r.DB.Exec(`DELETE FROM tag`); err != nil {\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-253-\tr.cache.Put(cachekey, job.MetaData, len(job.RawMetaData), 24*time.Hour)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-254-\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-255-\treturn job.MetaData, nil\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-256-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-257-\ninternal/repository/job.go:258:// UpdateMetadata adds or updates a single metadata key-value pair for a job.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-259-// The entire metadata map is re-marshaled and stored, and the cache is invalidated.\ninternal/repository/job.go:260:// Also triggers archive metadata update via archive.UpdateMetadata.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-261-//\ninternal/repository/job.go-262-/ Parameters:\ninternal/repository/job.go-263-/   - job: Job struct with valid ID, existing metadata will be fetched if not present\ninternal/repository/job.go-264-/   - key: Metadata key to set\ninternal/repository/job.go-265-/   - val: Metadata value to set\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-266-//\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-267-// Returns an error if the job is nil, metadata fetch fails, or database update fails.\ninternal/repository/job.go:268:func (r *JobRepository) UpdateMetadata(job *schema.Job, key, val string) (err error) {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-269-\tif job == nil {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-270-\t\treturn fmt.Errorf(\"job cannot be nil\")\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-271-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-272-\ninternal/repository/job.go-273-\tcachekey := fmt.Sprintf(\"metadata:%d\", *job.ID)\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-300-\t\tcclog.Warnf(\"Error while updating metadata for job, DB ID '%v'\", *job.ID)\ninternal/repository/job.go-301-\t\treturn fmt.Errorf(\"failed to update metadata in database for job %d: %w\", *job.ID, err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-302-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-303-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-304-\tr.cache.Put(cachekey, job.MetaData, len(job.RawMetaData), 24*time.Hour)\ninternal/repository/job.go:305:\treturn archive.UpdateMetadata(job, job.MetaData)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-306-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-307-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-308-// FetchFootprint retrieves and unmarshals the performance footprint JSON for a job.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-309-// Unlike FetchMetadata, footprints are NOT cached as they can be large and change frequently.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-310-//\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-381-\tr.cache.Put(cachekey, job.EnergyFootprint, len(job.EnergyFootprint), 24*time.Hour)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-382-\tcclog.Debugf(\"Timer FetchEnergyFootprint %s\", time.Since(start))\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-383-\treturn job.EnergyFootprint, nil\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-384-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-385-\ninternal/repository/job.go:386:// DeleteJobsBefore removes jobs older than the specified start time.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-387-// Optionally preserves tagged jobs to protect important data from deletion.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-388-// Cache entries for deleted jobs are automatically invalidated.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-389-//\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-390-// This is typically used for data retention policies and cleanup operations.\ninternal/repository/job.go-391-/ WARNING: This is a destructive operation that permanently deletes job records.\n--\ninternal/repository/job.go-394-/   - startTime: Unix timestamp, jobs with start_time < this value will be deleted\ninternal/repository/job.go-395-/   - omitTagged: \"none\" = delete all jobs, \"all\" = skip any tagged jobs,\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-396-//     \"user\" = skip jobs with user-created tags (not auto-tagger types \"app\"/\"jobClass\")\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-397-//\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-398-// Returns the count of deleted jobs or an error if the operation fails.\ninternal/repository/job.go:399:func (r *JobRepository) DeleteJobsBefore(startTime int64, omitTagged string) (int, error) {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-400-\tvar cnt int\ninternal/repository/job.go-401-\tq := sq.Select(\"count(*)\").From(\"job\").Where(\"job.start_time < ?\", startTime)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-402-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-403-\tswitch omitTagged {\ninternal/repository/job.go-404-\tcase \"all\":\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-451-\t}\ninternal/repository/job.go-452-\t_, err := qd.RunWith(r.DB).Exec()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-453-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-454-\tif err != nil {\ninternal/repository/job.go-455-\t\ts, _, _ := qd.ToSql()\ninternal/repository/job.go:456:\t\tcclog.Errorf(\" DeleteJobsBefore(%d) with %s: error %#v\", startTime, s, err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-457-\t} else {\ninternal/repository/job.go:458:\t\tcclog.Debugf(\"DeleteJobsBefore(%d): Deleted %d jobs\", startTime, cnt)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-459-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-460-\treturn cnt, err\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-461-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-462-\ninternal/repository/job.go:463:// DeleteJobByID permanently removes a single job by its database ID.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-464-// Cache entries for the deleted job are automatically invalidated.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-465-//\ninternal/repository/job.go-466-/ Parameters:\ninternal/repository/job.go-467-/   - id: Database ID (primary key) of the job to delete\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-468-//\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-469-// Returns an error if the deletion fails.\ninternal/repository/job.go:470:func (r *JobRepository) DeleteJobByID(id int64) error {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-471-\t// Invalidate cache entries before deletion\ninternal/repository/job.go-472-\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", id))\ninternal/repository/job.go-473-\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", id))\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-474-\ninternal/repository/job.go-475-\tqd := sq.Delete(\"job\").Where(\"job.id = ?\", id)\ninternal/repository/job.go-476-\t_, err := qd.RunWith(r.DB).Exec()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-477-\n\n[Showing results with pagination = limit: 100, offset: 0]"}]},"uuid":"2d409439-d0b4-4534-9c02-afd542f420b7","timestamp":"2026-03-16T10:19:08.651Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"cbc446a9-79c8-4247-9579-24c2e865a303","timestamp":"2026-03-16T10:19:08.652Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"cc2fbd65-7f66-4b04-a1e4-2904a32db284","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NdeBas8R1dYs6xyiYPL8nD","type":"tool_result","content":"   320→func Retention(wg *sync.WaitGroup, ctx context.Context) {\n   321→\tms := GetMemoryStore()\n   322→\n   323→\twg.Go(func() {\n   324→\t\td, err := time.ParseDuration(Keys.RetentionInMemory)\n   325→\t\tif err != nil {\n   326→\t\t\tcclog.Fatal(err)\n   327→\t\t}\n   328→\t\tif d <= 0 {\n   329→\t\t\treturn\n   330→\t\t}\n   331→\n   332→\t\ttickInterval := d / 2\n   333→\t\tif tickInterval <= 0 {\n   334→\t\t\treturn\n   335→\t\t}\n   336→\t\tticker := time.NewTicker(tickInterval)\n   337→\t\tdefer ticker.Stop()\n   338→\n   339→\t\tfor {\n   340→\t\t\tselect {\n   341→\t\t\tcase <-ctx.Done():\n   342→\t\t\t\treturn\n   343→\t\t\tcase <-ticker.C:\n   344→\t\t\t\tstate.mu.Lock()\n   345→\n   346→\t\t\t\tt := time.Now().Add(-d)\n   347→\n   348→\t\t\t\tstate.lastRetentionTime = t.Unix()\n   349→\n   350→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start freeing buffers (older than %s)...\\n\", t.Format(time.RFC3339))\n   351→\n   352→\t\t\t\tfreed, err := Free(ms, t)\n   353→\t\t\t\tif err != nil {\n   354→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> freeing up buffers failed: %s\\n\", err.Error())\n   355→\t\t\t\t} else {\n   356→\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d buffers freed\\n\", freed)\n   357→\t\t\t\t}\n   358→\n   359→\t\t\t\tstate.mu.Unlock()\n   360→\n   361→\t\t\t\t// Clean up the buffer pool\n   362→\t\t\t\tbufferPool.Clean(state.lastRetentionTime)\n   363→\t\t\t}\n   364→\t\t}\n   365→\t})\n   366→}\n   367→\n   368→// MemoryUsageTracker starts a background goroutine that monitors memory usage.\n   369→//\n   370→// This worker checks actual process memory usage (via runtime.MemStats) periodically\n   371→// and force-frees buffers if memory exceeds the configured cap. It uses FreeOSMemory()\n   372→// to return memory to the OS after freeing buffers, avoiding aggressive GC that causes\n   373→// performance issues.\n   374→//\n   375→// The tracker logs both actual memory usage (heap allocated) and metric data size for\n   376→// visibility into memory overhead from Go runtime structures and allocations.\n   377→//\n   378→// Parameters:\n   379→//   - wg: WaitGroup to signal completion when context is cancelled\n   380→//   - ctx: Context for cancellation signal\n   381→//\n   382→// The goroutine exits when ctx is cancelled.\n   383→func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n   384→\tms := GetMemoryStore()\n   385→\n   386→\twg.Go(func() {\n   387→\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n   388→\t\tfastInterval := 30 * time.Second\n   389→\n   390→\t\tif normalInterval <= 0 {\n   391→\t\t\treturn\n   392→\t\t}\n   393→\n   394→\t\tticker := time.NewTicker(normalInterval)\n   395→\t\tdefer ticker.Stop()\n   396→\t\tcurrentInterval := normalInterval\n   397→\n   398→\t\tfor {\n   399→\t\t\tselect {\n   400→\t\t\tcase <-ctx.Done():\n   401→\t\t\t\treturn\n   402→\t\t\tcase <-ticker.C:\n   403→\t\t\t\tvar mem runtime.MemStats\n   404→\t\t\t\truntime.ReadMemStats(&mem)\n   405→\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n   406→\t\t\t\tmetricDataGB := ms.SizeInGB()\n   407→\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n   408→\n   409→\t\t\t\tfreedExcluded := 0\n   410→\t\t\t\tfreedEmergency := 0\n   411→\t\t\t\tvar err error\n   412→\n   413→\t\t\t\tstate.mu.RLock()\n   414→\t\t\t\tlastRetention := state.lastRetentionTime\n   415→\t\t\t\tselectorsExcluded := state.selectorsExcluded\n   416→\t\t\t\tstate.mu.RUnlock()\n   417→\n   418→\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n   419→\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)"}]},"uuid":"5b4c35c0-fc01-4022-a011-013b32741288","timestamp":"2026-03-16T10:19:09.204Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"364641d9-347b-41a2-a9db-960427401ea3","timestamp":"2026-03-16T10:19:09.403Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"364641d9-347b-41a2-a9db-960427401ea3","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:09.618Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Wb4dkjYd4jwne2EgDyvMHQ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BDMqedPDw7gCBUtiqc5Kwq","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go","offset":383,"limit":50},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":328,"cache_read_input_tokens":58729,"cache_creation":{"ephemeral_5m_input_tokens":328,"ephemeral_1h_input_tokens":0},"output_tokens":25,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b8Es9pmtCHDiNfBQfT","uuid":"68992642-791f-465b-a8aa-3025b7bb3643"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"d2f5045b-6c97-44d5-8087-6b59bd23895a","timestamp":"2026-03-16T10:19:09.618Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"d2f5045b-6c97-44d5-8087-6b59bd23895a","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HN9rNbdVCqsrRSEUmmGm2d","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// This file contains job statistics and histogram generation functionality for the JobRepository.\n     7→//\n     8→// # Job Statistics\n     9→//\n    10→// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n    11→// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n    12→//   - Overall (JobsStats): Single aggregate across all matching jobs\n    13→//   - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n    14→//   - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n    15→//\n    16→// All statistics methods support filtering via JobFilter and respect security contexts.\n    17→//\n    18→// # Histograms\n    19→//\n    20→// Histogram methods generate distribution data for visualization:\n    21→//   - Duration, nodes, cores, accelerators (AddHistograms)\n    22→//   - Job metrics like CPU load, memory usage (AddMetricHistograms)\n    23→//\n    24→// Histograms use intelligent binning:\n    25→//   - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n    26→//   - Resources: Natural value-based bins\n    27→//   - Metrics: Normalized to peak values with configurable bin counts\n    28→//\n    29→// # Running vs. Completed Jobs\n    30→//\n    31→// Statistics handle running jobs specially:\n    32→//   - Duration calculated as (now - start_time) for running jobs\n    33→//   - Metric histograms for running jobs load data from metric backend instead of footprint\n    34→//   - Job state filtering distinguishes running/completed jobs\n    35→//\n    36→// # Performance Considerations\n    37→//\n    38→// - All queries use prepared statements via stmtCache\n    39→// - Complex aggregations use SQL for efficiency\n    40→// - Histogram pre-initialization ensures consistent bin ranges\n    41→// - Metric histogram queries limited to 5000 jobs for running job analysis\n    42→\n    43→package repository\n    44→\n    45→import (\n    46→\t\"context\"\n    47→\t\"database/sql\"\n    48→\t\"fmt\"\n    49→\t\"time\"\n    50→\n    51→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    52→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    53→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    54→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    55→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    56→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    57→\tsq \"github.com/Masterminds/squirrel\"\n    58→\t\"golang.org/x/sync/errgroup\"\n    59→)\n    60→\n    61→// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n    62→// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n    63→// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\n    64→var groupBy2column = map[model.Aggregate]string{\n    65→\tmodel.AggregateUser:       \"job.hpc_user\",\n    66→\tmodel.AggregateProject:    \"job.project\",\n    67→\tmodel.AggregateCluster:    \"job.cluster\",\n    68→\tmodel.AggregateSubcluster: \"job.subcluster\",\n    69→}\n    70→\n    71→// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n    72→// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n    73→// Column names match the AS aliases used in buildStatsQuery.\n    74→var sortBy2column = map[model.SortByAggregate]string{\n    75→\tmodel.SortByAggregateTotaljobs:      \"totalJobs\",\n    76→\tmodel.SortByAggregateTotalusers:     \"totalUsers\",\n    77→\tmodel.SortByAggregateTotalwalltime:  \"totalWalltime\",\n    78→\tmodel.SortByAggregateTotalnodes:     \"totalNodes\",\n    79→\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n    80→\tmodel.SortByAggregateTotalcores:     \"totalCores\",\n    81→\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n    82→\tmodel.SortByAggregateTotalaccs:      \"totalAccs\",\n    83→\tmodel.SortByAggregateTotalacchours:  \"totalAccHours\",\n    84→}\n    85→\n    86→// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n    87→//\n    88→// Parameters:\n    89→//   - filter: Job filters to apply (cluster, user, time range, etc.)\n    90→//   - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n    91→//   - col: Column name to GROUP BY; empty string for total count without grouping\n    92→//\n    93→// Returns a SelectBuilder that produces either:\n    94→//   - Single count: COUNT(job.id) when col is empty\n    95→//   - Grouped counts: col, COUNT(job.id) when col is specified\n    96→//\n    97→// The kind parameter enables counting specific job categories:\n    98→//   - \"running\": Only jobs with job_state = 'running'\n    99→//   - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n   100→//   - empty: All jobs matching filters\n   101→func (r *JobRepository) buildCountQuery(\n   102→\tfilter []*model.JobFilter,\n   103→\tkind string,\n   104→\tcol string,\n   105→) sq.SelectBuilder {\n   106→\tvar query sq.SelectBuilder\n   107→\n   108→\tif col != \"\" {\n   109→\t\tquery = sq.Select(col, \"COUNT(*)\").From(\"job\").GroupBy(col)\n   110→\t} else {\n   111→\t\tquery = sq.Select(\"COUNT(*)\").From(\"job\")\n   112→\t}\n   113→\n   114→\tswitch kind {\n   115→\tcase \"running\":\n   116→\t\tquery = query.Where(\"job.job_state = 'running'\")\n   117→\tcase \"short\":\n   118→\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n   119→\t}\n   120→\n   121→\tfor _, f := range filter {\n   122→\t\tquery = BuildWhereClause(f, query)\n   123→\t}\n   124→\n   125→\treturn query\n   126→}\n   127→\n   128→// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n   129→// Only requested columns are computed; unrequested columns select 0 as placeholder.\n   130→//\n   131→// Parameters:\n   132→//   - filter: Job filters to apply (cluster, user, time range, etc.)\n   133→//   - col: Column name to GROUP BY; empty string for overall statistics without grouping\n   134→//   - shortThreshold: Duration threshold in seconds for counting short-running jobs\n   135→//   - reqFields: Set of requested field names; nil means compute all fields\n   136→func (r *JobRepository) buildStatsQuery(\n   137→\tfilter []*model.JobFilter,\n   138→\tcol string,\n   139→\tshortThreshold int,\n   140→\treqFields map[string]bool,\n   141→) sq.SelectBuilder {\n   142→\tnow := time.Now().Unix()\n   143→\n   144→\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n   145→\tneed := func(field string) bool {\n   146→\t\treturn reqFields == nil || reqFields[field]\n   147→\t}\n   148→\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n   149→\n   150→\t// Build column list\n   151→\tcolumns := make([]string, 0, 14)\n   152→\n   153→\tif col != \"\" {\n   154→\t\tcolumns = append(columns, col)\n   155→\t}\n   156→\n   157→\tcolumns = append(columns, \"COUNT(*) as totalJobs\")\n   158→\n   159→\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n   160→\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n   161→\t} else {\n   162→\t\tcolumns = append(columns, \"0 AS totalUsers\")\n   163→\t}\n   164→\n   165→\tif need(\"totalWalltime\") {\n   166→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n   167→\t} else {\n   168→\t\tcolumns = append(columns, \"0 as totalWalltime\")\n   169→\t}\n   170→\n   171→\tif need(\"totalNodes\") {\n   172→\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n   173→\t} else {\n   174→\t\tcolumns = append(columns, \"0 as totalNodes\")\n   175→\t}\n   176→\n   177→\tif need(\"totalNodeHours\") {\n   178→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n   179→\t} else {\n   180→\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n   181→\t}\n   182→\n   183→\tif need(\"totalCores\") {\n   184→\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n   185→\t} else {\n   186→\t\tcolumns = append(columns, \"0 as totalCores\")\n   187→\t}\n   188→\n   189→\tif need(\"totalCoreHours\") {\n   190→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n   191→\t} else {\n   192→\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n   193→\t}\n   194→\n   195→\tif need(\"totalAccs\") {\n   196→\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n   197→\t} else {\n   198→\t\tcolumns = append(columns, \"0 as totalAccs\")\n   199→\t}\n   200→\n   201→\tif need(\"totalAccHours\") {\n   202→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n   203→\t} else {\n   204→\t\tcolumns = append(columns, \"0 as totalAccHours\")\n   205→\t}\n   206→\n   207→\tif need(\"runningJobs\") {\n   208→\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n   209→\t} else {\n   210→\t\tcolumns = append(columns, \"0 as runningJobs\")\n   211→\t}\n   212→\n   213→\tif need(\"shortJobs\") {\n   214→\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n   215→\t} else {\n   216→\t\tcolumns = append(columns, \"0 as shortJobs\")\n   217→\t}\n   218→\n   219→\tquery := sq.Select(columns...).From(\"job\")\n   220→\tif col != \"\" {\n   221→\t\tquery = query.GroupBy(col)\n   222→\t}\n   223→\n   224→\tfor _, f := range filter {\n   225→\t\tquery = BuildWhereClause(f, query)\n   226→\t}\n   227→\n   228→\treturn query\n   229→}\n   230→\n   231→// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n   232→// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n   233→// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\n   234→func (r *JobRepository) JobsStatsGrouped(\n   235→\tctx context.Context,\n   236→\tfilter []*model.JobFilter,\n   237→\tpage *model.PageRequest,\n   238→\tsortBy *model.SortByAggregate,\n   239→\tgroupBy *model.Aggregate,\n   240→\treqFields map[string]bool,\n   241→) ([]*model.JobsStatistics, error) {\n   242→\tcol := groupBy2column[*groupBy]\n   243→\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n   244→\n   245→\tquery, err := SecurityCheck(ctx, query)\n   246→\tif err != nil {\n   247→\t\treturn nil, err\n   248→\t}\n   249→\n   250→\tif sortBy != nil {\n   251→\t\tsortBy := sortBy2column[*sortBy]\n   252→\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n   253→\t}\n   254→\tif page != nil && page.ItemsPerPage != -1 {\n   255→\t\tlimit := uint64(page.ItemsPerPage)\n   256→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n   257→\t}\n   258→\n   259→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n   260→\tif err != nil {\n   261→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n   262→\t\treturn nil, err\n   263→\t}\n   264→\tdefer rows.Close()\n   265→\n   266→\tstats := make([]*model.JobsStatistics, 0, 100)\n   267→\n   268→\tfor rows.Next() {\n   269→\t\tvar id sql.NullString\n   270→\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n   271→\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n   272→\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n   273→\t\t\treturn nil, err\n   274→\t\t}\n   275→\n   276→\t\tif id.Valid {\n   277→\t\t\tstats = append(stats,\n   278→\t\t\t\t&model.JobsStatistics{\n   279→\t\t\t\t\tID:             id.String,\n   280→\t\t\t\t\tTotalJobs:      int(jobs.Int64),\n   281→\t\t\t\t\tTotalUsers:     int(users.Int64),\n   282→\t\t\t\t\tTotalWalltime:  int(walltime.Int64),\n   283→\t\t\t\t\tTotalNodes:     int(nodes.Int64),\n   284→\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n   285→\t\t\t\t\tTotalCores:     int(cores.Int64),\n   286→\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n   287→\t\t\t\t\tTotalAccs:      int(accs.Int64),\n   288→\t\t\t\t\tTotalAccHours:  int(accHours.Int64),\n   289→\t\t\t\t\tRunningJobs:    int(runningJobs.Int64),\n   290→\t\t\t\t\tShortJobs:      int(shortJobs.Int64),\n   291→\t\t\t\t})\n   292→\t\t}\n   293→\t}\n   294→\n   295→\tif err := rows.Err(); err != nil {\n   296→\t\treturn nil, err\n   297→\t}\n   298→\n   299→\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n   300→\tif col == \"job.hpc_user\" && len(stats) > 0 {\n   301→\t\tusernames := make([]any, len(stats))\n   302→\t\tfor i, s := range stats {\n   303→\t\t\tusernames[i] = s.ID\n   304→\t\t}\n   305→\n   306→\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n   307→\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n   308→\t\tif err != nil {\n   309→\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n   310→\t\t\t// Non-fatal: stats are still valid without display names\n   311→\t\t} else {\n   312→\t\t\tdefer nameRows.Close()\n   313→\t\t\tnameMap := make(map[string]string, len(stats))\n   314→\t\t\tfor nameRows.Next() {\n   315→\t\t\t\tvar username, name string\n   316→\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n   317→\t\t\t\t\tnameMap[username] = name\n   318→\t\t\t\t}\n   319→\t\t\t}\n   320→\t\t\tfor _, s := range stats {\n   321→\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n   322→\t\t\t\t\ts.Name = name\n   323→\t\t\t\t}\n   324→\t\t\t}\n   325→\t\t}\n   326→\t}\n   327→\n   328→\treturn stats, nil\n   329→}\n   330→\n   331→// JobsStats computes overall job statistics across all matching jobs without grouping.\n   332→//\n   333→// This method provides a single aggregate view of job metrics, useful for dashboard\n   334→// summaries and overall system utilization reports.\n   335→//\n   336→// Parameters:\n   337→//   - ctx: Context for security checks and cancellation\n   338→//   - filter: Filters to apply (time range, cluster, job state, etc.)\n   339→//\n   340→// Returns a single-element slice containing aggregate statistics:\n   341→//   - totalJobs, totalUsers, totalWalltime\n   342→//   - totalNodeHours, totalCoreHours, totalAccHours\n   343→//\n   344→// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n   345→// Security checks are applied via SecurityCheck to respect user access levels.\n   346→func (r *JobRepository) JobsStats(\n   347→\tctx context.Context,\n   348→\tfilter []*model.JobFilter,\n   349→\treqFields map[string]bool,\n   350→) ([]*model.JobsStatistics, error) {\n   351→\tstart := time.Now()\n   352→\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n   353→\tquery, err := SecurityCheck(ctx, query)\n   354→\tif err != nil {\n   355→\t\treturn nil, err\n   356→\t}\n   357→\n   358→\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n   359→\tstats := make([]*model.JobsStatistics, 0, 1)\n   360→\n   361→\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n   362→\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n   363→\t\tcclog.Warn(\"Error while scanning rows\")\n   364→\t\treturn nil, err\n   365→\t}\n   366→\n   367→\tif jobs.Valid {\n   368→\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n   369→\n   370→\t\tif nodeHours.Valid {\n   371→\t\t\ttotalNodeHours = int(nodeHours.Int64)\n   372→\t\t}\n   373→\t\tif coreHours.Valid {\n   374→\t\t\ttotalCoreHours = int(coreHours.Int64)\n   375→\t\t}\n   376→\t\tif accHours.Valid {\n   377→\t\t\ttotalAccHours = int(accHours.Int64)\n   378→\t\t}\n   379→\t\tstats = append(stats,\n   380→\t\t\t&model.JobsStatistics{\n   381→\t\t\t\tTotalJobs:      int(jobs.Int64),\n   382→\t\t\t\tTotalUsers:     int(users.Int64),\n   383→\t\t\t\tTotalWalltime:  int(walltime.Int64),\n   384→\t\t\t\tTotalNodeHours: totalNodeHours,\n   385→\t\t\t\tTotalCoreHours: totalCoreHours,\n   386→\t\t\t\tTotalAccHours:  totalAccHours,\n   387→\t\t\t\tRunningJobs:    int(runningJobs.Int64),\n   388→\t\t\t\tShortJobs:      int(shortJobs.Int64),\n   389→\t\t\t})\n   390→\t}\n   391→\n   392→\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n   393→\treturn stats, nil\n   394→}\n   395→\n   396→// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n   397→// Returns 0.0 if the metric is not found or statType is invalid.\n   398→//\n   399→// Parameters:\n   400→//   - job: Job struct with populated Statistics field\n   401→//   - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n   402→//   - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n   403→//\n   404→// Returns the requested statistic value or 0.0 if not found.\n   405→func LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n   406→\tif stats, ok := job.Statistics[metric]; ok {\n   407→\t\tswitch statType {\n   408→\t\tcase \"avg\":\n   409→\t\t\treturn stats.Avg\n   410→\t\tcase \"max\":\n   411→\t\t\treturn stats.Max\n   412→\t\tcase \"min\":\n   413→\t\t\treturn stats.Min\n   414→\t\tdefault:\n   415→\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n   416→\t\t}\n   417→\t}\n   418→\n   419→\treturn 0.0\n   420→}\n   421→\n   422→// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n   423→//\n   424→// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n   425→// avoiding the overhead of calculating walltime and resource usage metrics.\n   426→//\n   427→// Parameters:\n   428→//   - ctx: Context for security checks\n   429→//   - filter: Filters to apply\n   430→//   - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n   431→//\n   432→// Returns JobsStatistics with only ID and TotalJobs populated for each group.\n   433→func (r *JobRepository) JobCountGrouped(\n   434→\tctx context.Context,\n   435→\tfilter []*model.JobFilter,\n   436→\tgroupBy *model.Aggregate,\n   437→) ([]*model.JobsStatistics, error) {\n   438→\tstart := time.Now()\n   439→\tcol := groupBy2column[*groupBy]\n   440→\tquery := r.buildCountQuery(filter, \"\", col)\n   441→\tquery, err := SecurityCheck(ctx, query)\n   442→\tif err != nil {\n   443→\t\treturn nil, err\n   444→\t}\n   445→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n   446→\tif err != nil {\n   447→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n   448→\t\treturn nil, err\n   449→\t}\n   450→\tdefer rows.Close()\n   451→\n   452→\tstats := make([]*model.JobsStatistics, 0, 100)\n   453→\n   454→\tfor rows.Next() {\n   455→\t\tvar id sql.NullString\n   456→\t\tvar cnt sql.NullInt64\n   457→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n   458→\t\t\tcclog.Warn(\"Error while scanning rows\")\n   459→\t\t\treturn nil, err\n   460→\t\t}\n   461→\t\tif id.Valid {\n   462→\t\t\tstats = append(stats,\n   463→\t\t\t\t&model.JobsStatistics{\n   464→\t\t\t\t\tID:        id.String,\n   465→\t\t\t\t\tTotalJobs: int(cnt.Int64),\n   466→\t\t\t\t})\n   467→\t\t}\n   468→\t}\n   469→\n   470→\tif err := rows.Err(); err != nil {\n   471→\t\treturn nil, err\n   472→\t}\n   473→\n   474→\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n   475→\treturn stats, nil\n   476→}\n   477→\n   478→// AddJobCountGrouped augments existing statistics with additional job counts by category.\n   479→//\n   480→// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n   481→// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n   482→//\n   483→// Parameters:\n   484→//   - ctx: Context for security checks\n   485→//   - filter: Filters to apply\n   486→//   - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n   487→//   - stats: Existing statistics to augment (modified in-place by ID matching)\n   488→//   - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n   489→//\n   490→// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n   491→// Groups without matching jobs will have 0 for the added field.\n   492→func (r *JobRepository) AddJobCountGrouped(\n   493→\tctx context.Context,\n   494→\tfilter []*model.JobFilter,\n   495→\tgroupBy *model.Aggregate,\n   496→\tstats []*model.JobsStatistics,\n   497→\tkind string,\n   498→) ([]*model.JobsStatistics, error) {\n   499→\tstart := time.Now()\n   500→\tcol := groupBy2column[*groupBy]\n   501→\tquery := r.buildCountQuery(filter, kind, col)\n   502→\tquery, err := SecurityCheck(ctx, query)\n   503→\tif err != nil {\n   504→\t\treturn nil, err\n   505→\t}\n   506→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n   507→\tif err != nil {\n   508→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n   509→\t\treturn nil, err\n   510→\t}\n   511→\tdefer rows.Close()\n   512→\n   513→\tcounts := make(map[string]int)\n   514→\n   515→\tfor rows.Next() {\n   516→\t\tvar id sql.NullString\n   517→\t\tvar cnt sql.NullInt64\n   518→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n   519→\t\t\tcclog.Warn(\"Error while scanning rows\")\n   520→\t\t\treturn nil, err\n   521→\t\t}\n   522→\t\tif id.Valid {\n   523→\t\t\tcounts[id.String] = int(cnt.Int64)\n   524→\t\t}\n   525→\t}\n   526→\n   527→\tif err := rows.Err(); err != nil {\n   528→\t\treturn nil, err\n   529→\t}\n   530→\n   531→\tswitch kind {\n   532→\tcase \"running\":\n   533→\t\tfor _, s := range stats {\n   534→\t\t\ts.RunningJobs = counts[s.ID]\n   535→\t\t}\n   536→\tcase \"short\":\n   537→\t\tfor _, s := range stats {\n   538→\t\t\ts.ShortJobs = counts[s.ID]\n   539→\t\t}\n   540→\t}\n   541→\n   542→\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n   543→\treturn stats, nil\n   544→}\n   545→\n   546→// AddJobCount augments existing overall statistics with additional job counts by category.\n   547→//\n   548→// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n   549→// to all statistics entries (typically just one).\n   550→//\n   551→// Parameters:\n   552→//   - ctx: Context for security checks\n   553→//   - filter: Filters to apply\n   554→//   - stats: Existing statistics to augment (modified in-place)\n   555→//   - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n   556→//\n   557→// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\n   558→func (r *JobRepository) AddJobCount(\n   559→\tctx context.Context,\n   560→\tfilter []*model.JobFilter,\n   561→\tstats []*model.JobsStatistics,\n   562→\tkind string,\n   563→) ([]*model.JobsStatistics, error) {\n   564→\tstart := time.Now()\n   565→\tquery := r.buildCountQuery(filter, kind, \"\")\n   566→\tquery, err := SecurityCheck(ctx, query)\n   567→\tif err != nil {\n   568→\t\treturn nil, err\n   569→\t}\n   570→\tvar cnt sql.NullInt64\n   571→\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n   572→\t\tcclog.Warn(\"Error while querying DB for job count\")\n   573→\t\treturn nil, err\n   574→\t}\n   575→\n   576→\tcount := int(cnt.Int64)\n   577→\n   578→\tswitch kind {\n   579→\tcase \"running\":\n   580→\t\tfor _, s := range stats {\n   581→\t\t\ts.RunningJobs = count\n   582→\t\t}\n   583→\tcase \"short\":\n   584→\t\tfor _, s := range stats {\n   585→\t\t\ts.ShortJobs = count\n   586→\t\t}\n   587→\t}\n   588→\n   589→\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n   590→\treturn stats, nil\n   591→}\n   592→\n   593→// AddHistograms augments statistics with distribution histograms for job properties.\n   594→//\n   595→// Generates histogram data for visualization of job duration, node count, core count,\n   596→// and accelerator count distributions. Duration histogram uses intelligent binning based\n   597→// on the requested resolution.\n   598→//\n   599→// Parameters:\n   600→//   - ctx: Context for security checks\n   601→//   - filter: Filters to apply to jobs included in histograms\n   602→//   - stat: Statistics struct to augment (modified in-place)\n   603→//   - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n   604→//\n   605→// Populates these fields in stat:\n   606→//   - HistDuration: Job duration distribution (zero-padded bins)\n   607→//   - HistNumNodes: Node count distribution\n   608→//   - HistNumCores: Core (hwthread) count distribution\n   609→//   - HistNumAccs: Accelerator count distribution\n   610→//\n   611→// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n   612→// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\n   613→func (r *JobRepository) AddHistograms(\n   614→\tctx context.Context,\n   615→\tfilter []*model.JobFilter,\n   616→\tstat *model.JobsStatistics,\n   617→\tdurationBins *string,\n   618→) (*model.JobsStatistics, error) {\n   619→\tstart := time.Now()\n   620→\n   621→\tvar targetBinCount int\n   622→\tvar targetBinSize int\n   623→\tswitch *durationBins {\n   624→\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n   625→\t\ttargetBinCount = 60\n   626→\t\ttargetBinSize = 60\n   627→\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n   628→\t\ttargetBinCount = 72\n   629→\t\ttargetBinSize = 600\n   630→\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n   631→\t\ttargetBinCount = 48\n   632→\t\ttargetBinSize = 3600\n   633→\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n   634→\t\ttargetBinCount = 12\n   635→\t\ttargetBinSize = 21600\n   636→\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n   637→\t\ttargetBinCount = 14\n   638→\t\ttargetBinSize = 43200\n   639→\tdefault: // 24h\n   640→\t\ttargetBinCount = 24\n   641→\t\ttargetBinSize = 3600\n   642→\t}\n   643→\n   644→\t// Run all 4 histogram queries in parallel — each writes a distinct struct field.\n   645→\tg, gctx := errgroup.WithContext(ctx)\n   646→\n   647→\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n   648→\n   649→\tg.Go(func() error {\n   650→\t\tvar err error\n   651→\t\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(gctx, value, filter, targetBinSize, &targetBinCount)\n   652→\t\tif err != nil {\n   653→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n   654→\t\t}\n   655→\t\treturn err\n   656→\t})\n   657→\tg.Go(func() error {\n   658→\t\tvar err error\n   659→\t\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(gctx, \"job.num_nodes as value\", filter)\n   660→\t\tif err != nil {\n   661→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n   662→\t\t}\n   663→\t\treturn err\n   664→\t})\n   665→\tg.Go(func() error {\n   666→\t\tvar err error\n   667→\t\tstat.HistNumCores, err = r.jobsStatisticsHistogram(gctx, \"job.num_hwthreads as value\", filter)\n   668→\t\tif err != nil {\n   669→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n   670→\t\t}\n   671→\t\treturn err\n   672→\t})\n   673→\tg.Go(func() error {\n   674→\t\tvar err error\n   675→\t\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(gctx, \"job.num_acc as value\", filter)\n   676→\t\tif err != nil {\n   677→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n   678→\t\t}\n   679→\t\treturn err\n   680→\t})\n   681→\n   682→\tif err := g.Wait(); err != nil {\n   683→\t\treturn nil, err\n   684→\t}\n   685→\n   686→\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n   687→\treturn stat, nil\n   688→}\n   689→\n   690→// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n   691→//\n   692→// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n   693→// and completed jobs differently: running jobs load data from metric backend, completed jobs\n   694→// use footprint data from database.\n   695→//\n   696→// Parameters:\n   697→//   - ctx: Context for security checks\n   698→//   - filter: Filters to apply (MUST contain State filter for running jobs)\n   699→//   - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n   700→//   - stat: Statistics struct to augment (modified in-place)\n   701→//   - targetBinCount: Number of histogram bins (default: 10)\n   702→//\n   703→// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n   704→//\n   705→// Binning algorithm:\n   706→//   - Values normalized to metric's peak value from cluster configuration\n   707→//   - Bins evenly distributed from 0 to peak\n   708→//   - Pre-initialized with zeros for consistent visualization\n   709→//\n   710→// Limitations:\n   711→//   - Running jobs: Limited to 5000 jobs for performance\n   712→//   - Requires valid cluster configuration with metric peak values\n   713→//   - Uses footprint statistic (avg/max/min) configured per metric\n   714→func (r *JobRepository) AddMetricHistograms(\n   715→\tctx context.Context,\n   716→\tfilter []*model.JobFilter,\n   717→\tmetrics []string,\n   718→\tstat *model.JobsStatistics,\n   719→\ttargetBinCount *int,\n   720→) (*model.JobsStatistics, error) {\n   721→\tstart := time.Now()\n   722→\n   723→\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n   724→\tfor _, f := range filter {\n   725→\t\tif f.State != nil {\n   726→\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n   727→\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n   728→\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n   729→\t\t\t\treturn stat, nil\n   730→\t\t\t}\n   731→\t\t}\n   732→\t}\n   733→\n   734→\t// All other cases: Query and make bins in sqlite directly\n   735→\tfor _, m := range metrics {\n   736→\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n   737→\t\tif err != nil {\n   738→\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n   739→\t\t\tcontinue\n   740→\t\t}\n   741→\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n   742→\t}\n   743→\n   744→\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n   745→\treturn stat, nil\n   746→}\n   747→\n   748→// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n   749→//\n   750→// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n   751→// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n   752→//\n   753→// Parameters:\n   754→//   - value: SQL expression that produces the histogram value, aliased as \"value\"\n   755→//   - filters: Job filters to apply\n   756→//\n   757→// Returns histogram points with Value (from column) and Count (number of jobs).\n   758→func (r *JobRepository) jobsStatisticsHistogram(\n   759→\tctx context.Context,\n   760→\tvalue string,\n   761→\tfilters []*model.JobFilter,\n   762→) ([]*model.HistoPoint, error) {\n   763→\tstart := time.Now()\n   764→\tquery, qerr := SecurityCheck(ctx,\n   765→\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n   766→\n   767→\tif qerr != nil {\n   768→\t\treturn nil, qerr\n   769→\t}\n   770→\n   771→\tfor _, f := range filters {\n   772→\t\tquery = BuildWhereClause(f, query)\n   773→\t}\n   774→\n   775→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n   776→\tif err != nil {\n   777→\t\tcclog.Error(\"Error while running query\")\n   778→\t\treturn nil, err\n   779→\t}\n   780→\tdefer rows.Close()\n   781→\n   782→\tpoints := make([]*model.HistoPoint, 0)\n   783→\t// is it possible to introduce zero values here? requires info about bincount\n   784→\tfor rows.Next() {\n   785→\t\tpoint := model.HistoPoint{}\n   786→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n   787→\t\t\tcclog.Warn(\"Error while scanning rows\")\n   788→\t\t\treturn nil, err\n   789→\t\t}\n   790→\n   791→\t\tpoints = append(points, &point)\n   792→\t}\n   793→\n   794→\tif err := rows.Err(); err != nil {\n   795→\t\treturn nil, err\n   796→\t}\n   797→\n   798→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n   799→\treturn points, nil\n   800→}\n   801→\n   802→// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n   803→//\n   804→// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n   805→// histograms which only return bins with data. The value parameter should compute\n   806→// the bin number from job duration.\n   807→//\n   808→// Parameters:\n   809→//   - value: SQL expression computing bin number from duration, aliased as \"value\"\n   810→//   - filters: Job filters to apply\n   811→//   - binSizeSeconds: Width of each bin in seconds\n   812→//   - targetBinCount: Number of bins to pre-initialize\n   813→//\n   814→// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n   815→// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n   816→//\n   817→// Algorithm:\n   818→//  1. Pre-initialize targetBinCount bins with zero counts\n   819→//  2. Query database for actual counts per bin\n   820→//  3. Match query results to pre-initialized bins by value\n   821→//  4. Bins without matches remain at zero\n   822→func (r *JobRepository) jobsDurationStatisticsHistogram(\n   823→\tctx context.Context,\n   824→\tvalue string,\n   825→\tfilters []*model.JobFilter,\n   826→\tbinSizeSeconds int,\n   827→\ttargetBinCount *int,\n   828→) ([]*model.HistoPoint, error) {\n   829→\tstart := time.Now()\n   830→\tquery, qerr := SecurityCheck(ctx,\n   831→\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n   832→\n   833→\tif qerr != nil {\n   834→\t\treturn nil, qerr\n   835→\t}\n   836→\n   837→\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n   838→\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n   839→\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n   840→\tfor i := 1; i <= *targetBinCount; i++ {\n   841→\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n   842→\t\tpoints = append(points, &point)\n   843→\t}\n   844→\n   845→\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n   846→\tbinMap := make(map[int]int, len(points))\n   847→\tfor i, p := range points {\n   848→\t\tbinMap[p.Value] = i\n   849→\t}\n   850→\n   851→\tfor _, f := range filters {\n   852→\t\tquery = BuildWhereClause(f, query)\n   853→\t}\n   854→\n   855→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n   856→\tif err != nil {\n   857→\t\tcclog.Error(\"Error while running query\")\n   858→\t\treturn nil, err\n   859→\t}\n   860→\tdefer rows.Close()\n   861→\n   862→\t// Match query results to pre-initialized bins using map lookup.\n   863→\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n   864→\tfor rows.Next() {\n   865→\t\tpoint := model.HistoPoint{}\n   866→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n   867→\t\t\tcclog.Warn(\"Error while scanning rows\")\n   868→\t\t\treturn nil, err\n   869→\t\t}\n   870→\n   871→\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n   872→\t\t\tpoints[idx].Count = point.Count\n   873→\t\t}\n   874→\t}\n   875→\n   876→\tif err := rows.Err(); err != nil {\n   877→\t\treturn nil, err\n   878→\t}\n   879→\n   880→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n   881→\treturn points, nil\n   882→}\n   883→\n   884→// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n   885→//\n   886→// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n   887→// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n   888→// and computing bin assignments in SQL.\n   889→//\n   890→// Parameters:\n   891→//   - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n   892→//   - filters: Job filters to apply\n   893→//   - bins: Number of bins to generate\n   894→//\n   895→// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n   896→//\n   897→// Algorithm:\n   898→//  1. Determine peak value from cluster configuration (filtered cluster or max across all)\n   899→//  2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n   900→//  3. Pre-initialize bins with min/max ranges based on peak value\n   901→//  4. Query database for counts per bin\n   902→//  5. Match results to pre-initialized bins\n   903→//\n   904→// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n   905→// peak by 0.999999999 to avoid creating an extra bin.\n   906→func (r *JobRepository) jobsMetricStatisticsHistogram(\n   907→\tctx context.Context,\n   908→\tmetric string,\n   909→\tfilters []*model.JobFilter,\n   910→\tbins *int,\n   911→) (*model.MetricHistoPoints, error) {\n   912→\t// Peak value defines the upper bound for binning: values are distributed across\n   913→\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n   914→\t// scan all clusters to find the maximum peak value.\n   915→\tvar metricConfig *schema.MetricConfig\n   916→\tvar peak float64\n   917→\tvar unit string\n   918→\tvar footprintStat string\n   919→\n   920→\t// Try to get metric config from filtered cluster\n   921→\tfor _, f := range filters {\n   922→\t\tif f.Cluster != nil {\n   923→\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n   924→\t\t\tpeak = metricConfig.Peak\n   925→\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n   926→\t\t\tfootprintStat = metricConfig.Footprint\n   927→\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n   928→\t\t}\n   929→\t}\n   930→\n   931→\t// If no cluster filter or peak not found, find largest peak across all clusters\n   932→\t// This ensures histogram can accommodate all possible values\n   933→\tif peak == 0.0 {\n   934→\t\tfor _, c := range archive.Clusters {\n   935→\t\t\tfor _, m := range c.MetricConfig {\n   936→\t\t\t\tif m.Name == metric {\n   937→\t\t\t\t\tif m.Peak > peak {\n   938→\t\t\t\t\t\tpeak = m.Peak\n   939→\t\t\t\t\t}\n   940→\t\t\t\t\tif unit == \"\" {\n   941→\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n   942→\t\t\t\t\t}\n   943→\t\t\t\t\tif footprintStat == \"\" {\n   944→\t\t\t\t\t\tfootprintStat = m.Footprint\n   945→\t\t\t\t\t}\n   946→\t\t\t\t}\n   947→\t\t\t}\n   948→\t\t}\n   949→\t}\n   950→\n   951→\t// Construct SQL histogram bins using normalized values.\n   952→\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n   953→\tstart := time.Now()\n   954→\n   955→\t// Bin calculation formula:\n   956→\t//   bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n   957→\t// Special case: value == peak would create bin N+1, so we test for equality\n   958→\t// and multiply peak by 0.999999999 to force it into bin N.\n   959→\tbinQuery := fmt.Sprintf(`CAST(\n   960→\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n   961→\t\t* %v as INTEGER )`,\n   962→\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n   963→\n   964→\tmainQuery := sq.Select(\n   965→\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n   966→\t\t`count(*) as count`,\n   967→\t).From(\"job\").Where(\n   968→\t\t\"JSON_VALID(footprint)\",\n   969→\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n   970→\n   971→\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n   972→\tif qerr != nil {\n   973→\t\treturn nil, qerr\n   974→\t}\n   975→\n   976→\tfor _, f := range filters {\n   977→\t\tmainQuery = BuildWhereClause(f, mainQuery)\n   978→\t}\n   979→\n   980→\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n   981→\n   982→\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n   983→\tif err != nil {\n   984→\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n   985→\t\treturn nil, err\n   986→\t}\n   987→\tdefer rows.Close()\n   988→\n   989→\t// Pre-initialize bins with calculated min/max ranges.\n   990→\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n   991→\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n   992→\tbinStep := int(peak) / *bins\n   993→\tfor i := 1; i <= *bins; i++ {\n   994→\t\tbinMin := (binStep * (i - 1))\n   995→\t\tbinMax := (binStep * i)\n   996→\t\tidx := i\n   997→\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n   998→\t\tpoints = append(points, &epoint)\n   999→\t}\n  1000→\n  1001→\t// Build a map from bin number to slice index for O(1) lookup.\n  1002→\tbinMap := make(map[int]int, len(points))\n  1003→\tfor i, p := range points {\n  1004→\t\tif p.Bin != nil {\n  1005→\t\t\tbinMap[*p.Bin] = i\n  1006→\t\t}\n  1007→\t}\n  1008→\n  1009→\t// Match query results to pre-initialized bins using map lookup.\n  1010→\tfor rows.Next() {\n  1011→\t\trpoint := model.MetricHistoPoint{}\n  1012→\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n  1013→\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n  1014→\t\t\treturn nil, err\n  1015→\t\t}\n  1016→\n  1017→\t\tif rpoint.Bin != nil {\n  1018→\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n  1019→\t\t\t\tpoints[idx].Count = rpoint.Count\n  1020→\t\t\t}\n  1021→\t\t}\n  1022→\t}\n  1023→\n  1024→\tif err := rows.Err(); err != nil {\n  1025→\t\treturn nil, err\n  1026→\t}\n  1027→\n  1028→\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n  1029→\n  1030→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n  1031→\treturn &result, nil\n  1032→}\n  1033→\n  1034→// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n  1035→//\n  1036→// Unlike completed jobs which use footprint data from the database, running jobs require\n  1037→// fetching current metric averages from the metric backend (via metricdispatch).\n  1038→//\n  1039→// Parameters:\n  1040→//   - metrics: List of metric names\n  1041→//   - filters: Job filters (should filter to running jobs only)\n  1042→//   - bins: Number of histogram bins\n  1043→//\n  1044→// Returns slice of MetricHistoPoints, one per metric.\n  1045→//\n  1046→// Limitations:\n  1047→//   - Maximum 5000 jobs (returns nil if more jobs match)\n  1048→//   - Requires metric backend availability\n  1049→//   - Bins based on metric peak values from cluster configuration\n  1050→//\n  1051→// Algorithm:\n  1052→//  1. Query first 5001 jobs to check count limit\n  1053→//  2. Load metric averages for all jobs via metricdispatch\n  1054→//  3. For each metric, create bins based on peak value\n  1055→//  4. Iterate averages and count jobs per bin\n  1056→func (r *JobRepository) runningJobsMetricStatisticsHistogram(\n  1057→\tctx context.Context,\n  1058→\tmetrics []string,\n  1059→\tfilters []*model.JobFilter,\n  1060→\tbins *int,\n  1061→) []*model.MetricHistoPoints {\n  1062→\t// Get Jobs\n  1063→\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n  1064→\tif err != nil {\n  1065→\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n  1066→\t\treturn nil\n  1067→\t}\n  1068→\tif len(jobs) > 5000 {\n  1069→\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n  1070→\t\treturn nil\n  1071→\t}\n  1072→\n  1073→\t// Get AVGs from metric repo\n  1074→\tavgs := make([][]schema.Float, len(metrics))\n  1075→\tfor i := range avgs {\n  1076→\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n  1077→\t}\n  1078→\n  1079→\tfor _, job := range jobs {\n  1080→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n  1081→\t\t\tcontinue\n  1082→\t\t}\n  1083→\n  1084→\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n  1085→\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n  1086→\t\t\treturn nil\n  1087→\t\t}\n  1088→\t}\n  1089→\n  1090→\t// Iterate metrics to fill endresult\n  1091→\tdata := make([]*model.MetricHistoPoints, 0)\n  1092→\tfor idx, metric := range metrics {\n  1093→\t\t// Get specific Peak or largest Peak\n  1094→\t\tvar metricConfig *schema.MetricConfig\n  1095→\t\tvar peak float64\n  1096→\t\tvar unit string\n  1097→\n  1098→\t\tfor _, f := range filters {\n  1099→\t\t\tif f.Cluster != nil {\n  1100→\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n  1101→\t\t\t\tpeak = metricConfig.Peak\n  1102→\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n  1103→\t\t\t}\n  1104→\t\t}\n  1105→\n  1106→\t\tif peak == 0.0 {\n  1107→\t\t\tfor _, c := range archive.Clusters {\n  1108→\t\t\t\tfor _, m := range c.MetricConfig {\n  1109→\t\t\t\t\tif m.Name == metric {\n  1110→\t\t\t\t\t\tif m.Peak > peak {\n  1111→\t\t\t\t\t\t\tpeak = m.Peak\n  1112→\t\t\t\t\t\t}\n  1113→\t\t\t\t\t\tif unit == \"\" {\n  1114→\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n  1115→\t\t\t\t\t\t}\n  1116→\t\t\t\t\t}\n  1117→\t\t\t\t}\n  1118→\t\t\t}\n  1119→\t\t}\n  1120→\n  1121→\t\t// Make and fill bins\n  1122→\t\tpeakBin := int(peak) / *bins\n  1123→\n  1124→\t\tpoints := make([]*model.MetricHistoPoint, 0)\n  1125→\t\tfor b := 0; b < *bins; b++ {\n  1126→\t\t\tcount := 0\n  1127→\t\t\tbindex := b + 1\n  1128→\t\t\tbmin := peakBin * b\n  1129→\t\t\tbmax := peakBin * (b + 1)\n  1130→\n  1131→\t\t\t// Iterate AVG values for indexed metric and count for bins\n  1132→\t\t\tfor _, val := range avgs[idx] {\n  1133→\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n  1134→\t\t\t\t\tcount += 1\n  1135→\t\t\t\t}\n  1136→\t\t\t}\n  1137→\n  1138→\t\t\t// Append Bin to Metric Result Array\n  1139→\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n  1140→\t\t\tpoints = append(points, &point)\n  1141→\t\t}\n  1142→\n  1143→\t\t// Append Metric Result Array to final results array\n  1144→\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n  1145→\t\tdata = append(data, &result)\n  1146→\t}\n  1147→\n  1148→\treturn data\n  1149→}\n  1150→"}]},"uuid":"f9ec8bb1-eb87-4b8e-ba63-6c7359f1ebaf","timestamp":"2026-03-16T10:19:09.512Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"3d727ce9-207b-48f2-939d-485b96ffc617","timestamp":"2026-03-16T10:19:09.655Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"3d727ce9-207b-48f2-939d-485b96ffc617","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BDMqedPDw7gCBUtiqc5Kwq","type":"tool_result","content":"   383→func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n   384→\tms := GetMemoryStore()\n   385→\n   386→\twg.Go(func() {\n   387→\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n   388→\t\tfastInterval := 30 * time.Second\n   389→\n   390→\t\tif normalInterval <= 0 {\n   391→\t\t\treturn\n   392→\t\t}\n   393→\n   394→\t\tticker := time.NewTicker(normalInterval)\n   395→\t\tdefer ticker.Stop()\n   396→\t\tcurrentInterval := normalInterval\n   397→\n   398→\t\tfor {\n   399→\t\t\tselect {\n   400→\t\t\tcase <-ctx.Done():\n   401→\t\t\t\treturn\n   402→\t\t\tcase <-ticker.C:\n   403→\t\t\t\tvar mem runtime.MemStats\n   404→\t\t\t\truntime.ReadMemStats(&mem)\n   405→\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n   406→\t\t\t\tmetricDataGB := ms.SizeInGB()\n   407→\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n   408→\n   409→\t\t\t\tfreedExcluded := 0\n   410→\t\t\t\tfreedEmergency := 0\n   411→\t\t\t\tvar err error\n   412→\n   413→\t\t\t\tstate.mu.RLock()\n   414→\t\t\t\tlastRetention := state.lastRetentionTime\n   415→\t\t\t\tselectorsExcluded := state.selectorsExcluded\n   416→\t\t\t\tstate.mu.RUnlock()\n   417→\n   418→\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n   419→\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n   420→\t\t\t\t\tif err != nil {\n   421→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n   422→\t\t\t\t\t}\n   423→\n   424→\t\t\t\t\tif freedExcluded > 0 {\n   425→\t\t\t\t\t\tdebug.FreeOSMemory()\n   426→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n   427→\t\t\t\t\t}\n   428→\t\t\t\t}\n   429→\n   430→\t\t\t\truntime.ReadMemStats(&mem)\n   431→\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n   432→"}]},"uuid":"8afd56f5-3c74-4d80-b2d8-b38add00c409","timestamp":"2026-03-16T10:19:09.634Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"64c07368-b716-4c0d-b135-89a1e98c44fe","timestamp":"2026-03-16T10:19:09.824Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"b53bdf0a-84a1-4d2c-be34-da2fd2a75015","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Wke3q6AQfNPJfDb6aXQays","type":"tool_result","content":"   118→func WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n   119→\twg.Go(func() {\n   120→\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n   121→\t\t\treturn\n   122→\t\t}\n   123→\n   124→\t\thostFiles := make(map[string]*walFileState)\n   125→\n   126→\t\tdefer func() {\n   127→\t\t\tfor _, ws := range hostFiles {\n   128→\t\t\t\tif ws.f != nil {\n   129→\t\t\t\t\tws.w.Flush()\n   130→\t\t\t\t\tws.f.Close()\n   131→\t\t\t\t}\n   132→\t\t\t}\n   133→\t\t}()\n   134→\n   135→\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n   136→\t\t\tws, ok := hostFiles[hostDir]\n   137→\t\t\tif ok {\n   138→\t\t\t\treturn ws\n   139→\t\t\t}\n   140→\n   141→\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n   142→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n   143→\t\t\t\treturn nil\n   144→\t\t\t}\n   145→\n   146→\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n   147→\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n   148→\t\t\tif err != nil {\n   149→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n   150→\t\t\t\treturn nil\n   151→\t\t\t}\n   152→\n   153→\t\t\tw := bufio.NewWriter(f)\n   154→\n   155→\t\t\t// Write file header magic if file is new (empty).\n   156→\t\t\tinfo, err := f.Stat()\n   157→\t\t\tif err == nil && info.Size() == 0 {\n   158→\t\t\t\tvar hdr [4]byte\n   159→\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n   160→\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n   161→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n   162→\t\t\t\t\tf.Close()\n   163→\t\t\t\t\treturn nil\n   164→\t\t\t\t}\n   165→\t\t\t}\n   166→\n   167→\t\t\tws = &walFileState{f: f, w: w}\n   168→\t\t\thostFiles[hostDir] = ws\n   169→\t\t\treturn ws\n   170→\t\t}\n   171→\n   172→\t\tprocessMsg := func(msg *WALMessage) {\n   173→\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n   174→\t\t\tws := getOrOpenWAL(hostDir)\n   175→\t\t\tif ws == nil {\n   176→\t\t\t\treturn\n   177→\t\t\t}\n   178→\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n   179→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n   180→\t\t\t}\n   181→\t\t}\n   182→\n   183→\t\tprocessRotate := func(req walRotateReq) {\n   184→\t\t\tws, ok := hostFiles[req.hostDir]\n   185→\t\t\tif ok && ws.f != nil {\n   186→\t\t\t\tws.w.Flush()\n   187→\t\t\t\tws.f.Close()\n   188→\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n   189→\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n   190→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n   191→\t\t\t\t}\n   192→\t\t\t\tdelete(hostFiles, req.hostDir)\n   193→\t\t\t}\n   194→\t\t\tclose(req.done)\n   195→\t\t}\n   196→\n   197→\t\tdrain := func() {\n   198→\t\t\tfor {\n   199→\t\t\t\tselect {\n   200→\t\t\t\tcase msg, ok := <-WALMessages:\n   201→\t\t\t\t\tif !ok {\n   202→\t\t\t\t\t\treturn\n   203→\t\t\t\t\t}\n   204→\t\t\t\t\tprocessMsg(msg)\n   205→\t\t\t\tcase req := <-walRotateCh:\n   206→\t\t\t\t\tprocessRotate(req)\n   207→\t\t\t\tdefault:\n   208→\t\t\t\t\t// Flush all buffered writers after draining remaining messages.\n   209→\t\t\t\t\tfor _, ws := range hostFiles {\n   210→\t\t\t\t\t\tif ws.f != nil {\n   211→\t\t\t\t\t\t\tws.w.Flush()\n   212→\t\t\t\t\t\t}\n   213→\t\t\t\t\t}\n   214→\t\t\t\t\treturn\n   215→\t\t\t\t}\n   216→\t\t\t}\n   217→\t\t}"}]},"uuid":"bad871d2-53e5-4b7c-857d-5ca2862605c0","timestamp":"2026-03-16T10:19:09.850Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"c836fbc7-23f4-4259-aa17-5bbd308c7417","timestamp":"2026-03-16T10:19:09.858Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"42853b46-0307-4026-b9c3-cba832d977e0","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EeAXSEun1yp9HgsSEHSEkD","type":"tool_result","content":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-124-\ninternal/archiver/archiveWorker.go-125-\t\t\tstart := time.Now()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-126-\t\t\t// not using meta data, called to load JobMeta into Cache?\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-127-\t\t\t// will fail if job meta not in repository\ninternal/archiver/archiveWorker.go-128-\t\t\tif _, err := jobRepo.FetchMetadata(job); err != nil {\ninternal/archiver/archiveWorker.go-129-\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at check metadata step: %s\", *job.ID, err.Error())\ninternal/archiver/archiveWorker.go:130:\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-131-\t\t\t\tarchivePending.Done()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-132-\t\t\t\tcontinue\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-133-\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-134-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-135-\t\t\t// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-136-\t\t\t// Use shutdown context to allow cancellation\ninternal/archiver/archiveWorker.go-137-\t\t\tjobMeta, err := ArchiveJob(job, shutdownCtx)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-138-\t\t\tif err != nil {\ninternal/archiver/archiveWorker.go-139-\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at archiving job step: %s\", *job.ID, err.Error())\ninternal/archiver/archiveWorker.go:140:\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-141-\t\t\t\tarchivePending.Done()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-142-\t\t\t\tcontinue\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-143-\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-144-\ninternal/archiver/archiveWorker.go-145-\t\t\tstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-146-\ninternal/archiver/archiveWorker.go:147:\t\t\tif stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {\ninternal/archiver/archiveWorker.go-148-\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Footprint step: %s\", *job.ID, err.Error())\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-149-\t\t\t\tarchivePending.Done()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-150-\t\t\t\tcontinue\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-151-\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-152-\t\t\tif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta); err != nil {\ninternal/archiver/archiveWorker.go-153-\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Energy step: %s\", *job.ID, err.Error())\n--\ninternal/taskmanager/updateFootprintService.go-108-\t\t\t\t\t\t\t\tMax: (math.Round(max*100) / 100),\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-109-\t\t\t\t\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-110-\t\t\t\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-111-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-112-\t\t\t\t\t\t// Build Statement per Job, Add to Pending Array\ninternal/taskmanager/updateFootprintService.go-113-\t\t\t\t\t\tstmt := sq.Update(\"job\")\ninternal/taskmanager/updateFootprintService.go:114:\t\t\t\t\t\tstmt, err = jobRepo.UpdateFootprint(stmt, job)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-115-\t\t\t\t\t\tif err != nil {\ninternal/taskmanager/updateFootprintService.go-116-\t\t\t\t\t\t\tcclog.Errorf(\"update job (dbid: %d) statement build failed at footprint step: %s\", *job.ID, err.Error())\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-117-\t\t\t\t\t\t\tce++\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-118-\t\t\t\t\t\t\tcontinue\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-119-\t\t\t\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-120-\t\t\t\t\t\tstmt = stmt.Where(\"job.id = ?\", job.ID)\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-878-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-879-\ninternal/repository/job.go-880-\tcclog.Debugf(\"JobRepository.FindJobsBetween(): Return job count %d (omitTagged: %v)\", len(jobs), omitTagged)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-881-\treturn jobs, nil\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-882-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-883-\ninternal/repository/job.go:884:// UpdateMonitoringStatus updates the monitoring status for a job and invalidates its cache entries.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-885-// Cache invalidation affects both metadata and energy footprint to ensure consistency.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-886-//\ninternal/repository/job.go-887-/ Parameters:\ninternal/repository/job.go-888-/   - job: Database ID of the job to update\ninternal/repository/job.go-889-/   - monitoringStatus: New monitoring status value (see schema.MonitoringStatus constants)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-890-//\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-891-// Returns an error if the database update fails.\ninternal/repository/job.go:892:func (r *JobRepository) UpdateMonitoringStatus(job int64, monitoringStatus int32) (err error) {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-893-\t// Invalidate cache entries as monitoring status affects job state\ninternal/repository/job.go-894-\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", job))\ninternal/repository/job.go-895-\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", job))\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-896-\ninternal/repository/job.go-897-\tstmt := sq.Update(\"job\").\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-898-\t\tSet(\"monitoring_status\", monitoringStatus).\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-995-\t\treturn stmt, err\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-996-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-997-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-998-\treturn stmt.Set(\"energy_footprint\", string(rawFootprint)).Set(\"energy\", (math.Round(totalEnergy*100.0) / 100.0)), nil\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-999-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1000-\ninternal/repository/job.go:1001:// UpdateFootprint calculates and updates the performance footprint for a job.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1002-// This is called for running jobs during intermediate updates or when archiving.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1003-//\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1004-// A footprint is a summary statistic (avg/min/max) for each monitored metric.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1005-// The specific statistic type is defined in the cluster config's Footprint field.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1006-// Results are stored as JSON with keys like \"metric_avg\", \"metric_max\", etc.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1007-//\ninternal/repository/job.go-1008-/ Example: For a \"cpu_load\" metric with Footprint=\"avg\", this stores\ninternal/repository/job.go-1009-/ the average CPU load across all nodes as \"cpu_load_avg\": 85.3\ninternal/repository/job.go:1010:func (r *JobRepository) UpdateFootprint(\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1011-\tstmt sq.UpdateBuilder,\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1012-\tjobMeta *schema.Job,\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1013-) (sq.UpdateBuilder, error) {\ninternal/repository/job.go-1014-\tsc, err := archive.GetSubCluster(jobMeta.Cluster, jobMeta.SubCluster)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1015-\tif err != nil {\ninternal/repository/job.go-1016-\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())"}]},"uuid":"e5e36eaa-7900-4af3-993b-b2c8da96baac","timestamp":"2026-03-16T10:19:13.589Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"99a8aead-73dd-4955-b399-2c2034eab6cf","timestamp":"2026-03-16T10:19:13.736Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"bbf395e0-386e-4ea2-95f1-ccf1faa4adbb","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012Edqe79j7zb4bx8wAxFD93","type":"tool_result","content":"   908→// Execute runs a Squirrel UpdateBuilder statement against the database.\n   909→// This is a generic helper for executing pre-built update queries.\n   910→//\n   911→// Parameters:\n   912→//   - stmt: Squirrel UpdateBuilder with prepared update query\n   913→//\n   914→// Returns an error if the execution fails.\n   915→func (r *JobRepository) Execute(stmt sq.UpdateBuilder) error {\n   916→\tif _, err := stmt.RunWith(r.stmtCache).Exec(); err != nil {\n   917→\t\tcclog.Errorf(\"Error while executing statement: %v\", err)\n   918→\t\treturn fmt.Errorf(\"failed to execute update statement: %w\", err)\n   919→\t}\n   920→\n   921→\treturn nil\n   922→}\n   923→\n   924→// MarkArchived adds monitoring status update to an existing UpdateBuilder statement.\n   925→// This is a builder helper used when constructing multi-field update queries.\n   926→//\n   927→// Parameters:\n   928→//   - stmt: Existing UpdateBuilder to modify\n   929→//   - monitoringStatus: Monitoring status value to set\n   930→//\n   931→// Returns the modified UpdateBuilder for method chaining.\n   932→func (r *JobRepository) MarkArchived(\n   933→\tstmt sq.UpdateBuilder,\n   934→\tmonitoringStatus int32,\n   935→) sq.UpdateBuilder {\n   936→\treturn stmt.Set(\"monitoring_status\", monitoringStatus)\n   937→}\n   938→\n   939→// UpdateEnergy calculates and updates the energy consumption for a job.\n   940→// This is called for running jobs during intermediate updates or when archiving.\n   941→//\n   942→// Energy calculation formula:\n   943→//   - For \"power\" metrics: Energy (kWh) = (Power_avg * NumNodes * Duration_hours) / 1000\n   944→//   - For \"energy\" metrics: Currently not implemented (would need sum statistics)\n   945→//\n   946→// The calculation accounts for:\n   947→//   - Multi-node jobs: Multiplies by NumNodes to get total cluster energy\n   948→//   - Shared jobs: Node average is already based on partial resources, so NumNodes=1\n   949→//   - Unit conversion: Watts * hours / 1000 = kilowatt-hours (kWh)\n   950→//   - Rounding: Results rounded to 2 decimal places\n   951→func (r *JobRepository) UpdateEnergy(\n   952→\tstmt sq.UpdateBuilder,\n   953→\tjobMeta *schema.Job,\n   954→) (sq.UpdateBuilder, error) {\n   955→\tsc, err := archive.GetSubCluster(jobMeta.Cluster, jobMeta.SubCluster)\n   956→\tif err != nil {\n   957→\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())\n   958→\t\treturn stmt, err\n   959→\t}\n   960→\tenergyFootprint := make(map[string]float64)\n   961→\n   962→\t// Accumulate total energy across all energy-related metrics\n   963→\ttotalEnergy := 0.0\n   964→\tfor _, fp := range sc.EnergyFootprint {\n   965→\t\t// Calculate energy for this specific metric\n   966→\t\tmetricEnergy := 0.0\n   967→\t\tif i, err := archive.MetricIndex(sc.MetricConfig, fp); err == nil {\n   968→\t\t\tswitch sc.MetricConfig[i].Energy {\n   969→\t\t\tcase \"energy\": // Metric already in energy units (Joules or Wh)\n   970→\t\t\t\tcclog.Warnf(\"Update EnergyFootprint for Job %d and Metric %s on cluster %s: Set to 'energy' in cluster.json: Not implemented, will return 0.0\", jobMeta.JobID, jobMeta.Cluster, fp)\n   971→\t\t\t\t// FIXME: Needs sum as stats type to accumulate energy values over time\n   972→\t\t\tcase \"power\": // Metric in power units (Watts)\n   973→\t\t\t\t// Energy (kWh) = Power (W) × Time (h) / 1000\n   974→\t\t\t\t// Formula: (avg_power_per_node * num_nodes) * (duration_sec / 3600) / 1000\n   975→\t\t\t\t//\n   976→\t\t\t\t// Breakdown:\n   977→\t\t\t\t//   LoadJobStat(jobMeta, fp, \"avg\") = average power per node (W)\n   978→\t\t\t\t//   jobMeta.NumNodes = number of nodes (1 for shared jobs)\n   979→\t\t\t\t//   jobMeta.Duration / 3600.0 = duration in hours\n   980→\t\t\t\t//   / 1000.0 = convert Wh to kWh\n   981→\t\t\t\trawEnergy := ((LoadJobStat(jobMeta, fp, \"avg\") * float64(jobMeta.NumNodes)) * (float64(jobMeta.Duration) / 3600.0)) / 1000.0\n   982→\t\t\t\tmetricEnergy = math.Round(rawEnergy*100.0) / 100.0 // Round to 2 decimal places\n   983→\t\t\t}\n   984→\t\t} else {\n   985→\t\t\tcclog.Warnf(\"Error while collecting energy metric %s for job, DB ID '%v', return '0.0'\", fp, jobMeta.ID)\n   986→\t\t}\n   987→\n   988→\t\tenergyFootprint[fp] = metricEnergy\n   989→\t\ttotalEnergy += metricEnergy\n   990→\t}\n   991→\n   992→\tvar rawFootprint []byte\n   993→\tif rawFootprint, err = json.Marshal(energyFootprint); err != nil {\n   994→\t\tcclog.Warnf(\"Error while marshaling energy footprint for job INTO BYTES, DB ID '%v'\", jobMeta.ID)\n   995→\t\treturn stmt, err\n   996→\t}\n   997→\n   998→\treturn stmt.Set(\"energy_footprint\", string(rawFootprint)).Set(\"energy\", (math.Round(totalEnergy*100.0) / 100.0)), nil\n   999→}\n  1000→\n  1001→// UpdateFootprint calculates and updates the performance footprint for a job.\n  1002→// This is called for running jobs during intermediate updates or when archiving.\n  1003→//\n  1004→// A footprint is a summary statistic (avg/min/max) for each monitored metric.\n  1005→// The specific statistic type is defined in the cluster config's Footprint field.\n  1006→// Results are stored as JSON with keys like \"metric_avg\", \"metric_max\", etc.\n  1007→//"}]},"uuid":"e5673981-f132-4961-9abe-15b06319e973","timestamp":"2026-03-16T10:19:13.771Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"9674f47b-3957-4d03-ae8b-2b215b47588c","timestamp":"2026-03-16T10:19:14.016Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"9674f47b-3957-4d03-ae8b-2b215b47588c","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XmUUQ7FpkTEGodHtZ7uLAW","type":"tool_result","content":"   717→func (api *RestAPI) startJob(rw http.ResponseWriter, r *http.Request) {\n   718→\treq := schema.Job{\n   719→\t\tShared:           \"none\",\n   720→\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n   721→\t}\n   722→\tif err := decode(r.Body, &req); err != nil {\n   723→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n   724→\t\treturn\n   725→\t}\n   726→\n   727→\tcclog.Debugf(\"REST: %s\", req.GoString())\n   728→\treq.State = schema.JobStateRunning\n   729→\n   730→\tif err := importer.SanityChecks(&req); err != nil {\n   731→\t\thandleError(err, http.StatusBadRequest, rw)\n   732→\t\treturn\n   733→\t}\n   734→\n   735→\t// aquire lock to avoid race condition between API calls\n   736→\tvar unlockOnce sync.Once\n   737→\tapi.RepositoryMutex.Lock()\n   738→\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n   739→\n   740→\t// Check if combination of (job_id, cluster_id, start_time) already exists:\n   741→\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n   742→\tif err != nil && err != sql.ErrNoRows {\n   743→\t\thandleError(fmt.Errorf(\"checking for duplicate failed: %w\", err), http.StatusInternalServerError, rw)\n   744→\t\treturn\n   745→\t}\n   746→\tif err == nil {\n   747→\t\tfor _, job := range jobs {\n   748→\t\t\t// Check if jobs are within the same day (prevent duplicates)\n   749→\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n   750→\t\t\t\thandleError(fmt.Errorf(\"a job with that jobId, cluster and startTime already exists: dbid: %d, jobid: %d\", *job.ID, job.JobID), http.StatusUnprocessableEntity, rw)\n   751→\t\t\t\treturn\n   752→\t\t\t}\n   753→\t\t}\n   754→\t}\n   755→\n   756→\t// When tags are present, insert directly into the job table so that the\n   757→\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n   758→\t// Jobs without tags use the cache path as before.\n   759→\tvar id int64\n   760→\tif len(req.Tags) > 0 {\n   761→\t\tid, err = api.JobRepository.StartDirect(&req)\n   762→\t} else {\n   763→\t\tid, err = api.JobRepository.Start(&req)\n   764→\t}\n   765→\tif err != nil {\n   766→\t\thandleError(fmt.Errorf(\"insert into database failed: %w\", err), http.StatusInternalServerError, rw)\n   767→\t\treturn\n   768→\t}\n   769→\t// unlock here, adding Tags can be async\n   770→\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n   771→\n   772→\tfor _, tag := range req.Tags {\n   773→\t\tif _, err := api.JobRepository.AddTagOrCreate(repository.GetUserFromContext(r.Context()), id, tag.Type, tag.Name, tag.Scope); err != nil {\n   774→\t\t\thandleError(fmt.Errorf(\"adding tag to new job %d failed: %w\", id, err), http.StatusInternalServerError, rw)\n   775→\t\t\treturn\n   776→\t\t}\n   777→\t}\n   778→\n   779→\tcclog.Infof(\"new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\", id, req.Cluster, req.JobID, req.User, req.StartTime)\n   780→\trw.Header().Add(\"Content-Type\", \"application/json\")\n   781→\trw.WriteHeader(http.StatusCreated)\n   782→\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{\n   783→\t\tMessage: \"success\",\n   784→\t}); err != nil {\n   785→\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n   786→\t}\n   787→}\n   788→\n   789→// stopJobByRequest godoc\n   790→// @summary     Marks job as completed and triggers archiving\n   791→// @tags Job add and modify\n   792→// @description Job to stop is specified by request body. All fields are required in this case.\n   793→// @description Returns full job resource information according to 'Job' scheme.\n   794→// @produce     json\n   795→// @param       request body     api.StopJobAPIRequest true \"All fields required\"\n   796→// @success     200     {object} schema.Job                 \"Success message\"\n   797→// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n   798→// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n   799→// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n   800→// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n   801→// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: job has already been stopped\"\n   802→// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n   803→// @security    ApiKeyAuth\n   804→// @router      /api/jobs/stop_job/ [post]\n   805→func (api *RestAPI) stopJobByRequest(rw http.ResponseWriter, r *http.Request) {\n   806→\t// Parse request body\n   807→\treq := StopJobAPIRequest{}\n   808→\tif err := decode(r.Body, &req); err != nil {\n   809→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n   810→\t\treturn\n   811→\t}\n   812→\n   813→\t// Fetch job (that will be stopped) from db\n   814→\tvar job *schema.Job\n   815→\tvar err error\n   816→\tif req.JobID == nil {"}]},"uuid":"a274be55-d640-456c-9e22-e782ce31fc30","timestamp":"2026-03-16T10:19:14.003Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"eedddb18-4742-4003-a973-e48465fa8814","timestamp":"2026-03-16T10:19:14.246Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"042c6cc4-6ff0-4a8f-b2e1-9aac1fae03a7","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KxgnFecKv137Seew4smC9q","type":"tool_result","content":"   805→func (api *RestAPI) stopJobByRequest(rw http.ResponseWriter, r *http.Request) {\n   806→\t// Parse request body\n   807→\treq := StopJobAPIRequest{}\n   808→\tif err := decode(r.Body, &req); err != nil {\n   809→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n   810→\t\treturn\n   811→\t}\n   812→\n   813→\t// Fetch job (that will be stopped) from db\n   814→\tvar job *schema.Job\n   815→\tvar err error\n   816→\tif req.JobID == nil {\n   817→\t\thandleError(errors.New(\"the field 'jobId' is required\"), http.StatusBadRequest, rw)\n   818→\t\treturn\n   819→\t}\n   820→\n   821→\tisCached := false\n   822→\tjob, err = api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n   823→\tif err != nil {\n   824→\t\t// Not in cache, try main job table\n   825→\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n   826→\t\tif err != nil {\n   827→\t\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n   828→\t\t\treturn\n   829→\t\t}\n   830→\t} else {\n   831→\t\tisCached = true\n   832→\t}\n   833→\n   834→\tapi.checkAndHandleStopJob(rw, job, req, isCached)\n   835→}\n   836→\n   837→// deleteJobByID godoc\n   838→// @summary     Remove a job from the sql database\n   839→// @tags Job remove\n   840→// @description Job to remove is specified by database ID. This will not remove the job from the job archive.\n   841→// @produce     json\n   842→// @param       id      path     int                   true \"Database ID of Job\"\n   843→// @success     200     {object} api.DefaultAPIResponse  \"Success message\"\n   844→// @failure     400     {object} api.ErrorResponse          \"Bad Request\"\n   845→// @failure     401     {object} api.ErrorResponse          \"Unauthorized\"\n   846→// @failure     403     {object} api.ErrorResponse          \"Forbidden\"\n   847→// @failure     404     {object} api.ErrorResponse          \"Resource not found\"\n   848→// @failure     422     {object} api.ErrorResponse          \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n   849→// @failure     500     {object} api.ErrorResponse          \"Internal Server Error\"\n   850→// @security    ApiKeyAuth\n   851→// @router      /api/jobs/delete_job/{id} [delete]\n   852→func (api *RestAPI) deleteJobByID(rw http.ResponseWriter, r *http.Request) {\n   853→\t// Fetch job (that will be stopped) from db\n   854→\tid := chi.URLParam(r, \"id\")"}]},"uuid":"1004fea2-e9da-4776-b7a7-1d7d31a5018a","timestamp":"2026-03-16T10:19:14.465Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"23bed1a2-0a41-41a5-9e93-b9fa409a1897","timestamp":"2026-03-16T10:19:14.559Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"23bed1a2-0a41-41a5-9e93-b9fa409a1897","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:14.606Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01BB18wmZ2KzJpBXtTRnEhmB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01YPm1XWAYm7q64GnUsS7kUE","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go","limit":100},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":555,"cache_read_input_tokens":62950,"cache_creation":{"ephemeral_5m_input_tokens":555,"ephemeral_1h_input_tokens":0},"output_tokens":18,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b8aA1sSE1o1UFr8AUY","uuid":"f58dec96-e4dd-4426-9035-537ce3c08a7d"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"9ecf8df0-848c-4c86-b10d-95aa4960df11","timestamp":"2026-03-16T10:19:14.606Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"9ecf8df0-848c-4c86-b10d-95aa4960df11","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YPm1XWAYm7q64GnUsS7kUE","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"fmt\"\n    10→\t\"maps\"\n    11→\t\"net/http\"\n    12→\t\"strings\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→)\n    22→\n    23→type UpdateNodeStatesRequest struct {\n    24→\tNodes   []schema.NodePayload `json:\"nodes\"`\n    25→\tCluster string               `json:\"cluster\" example:\"fritz\"`\n    26→}\n    27→\n    28→// metricListToNames converts a map of metric configurations to a list of metric names\n    29→func metricListToNames(metricList map[string]*schema.Metric) []string {\n    30→\tnames := make([]string, 0, len(metricList))\n    31→\tfor name := range metricList {\n    32→\t\tnames = append(names, name)\n    33→\t}\n    34→\treturn names\n    35→}\n    36→\n    37→// this routine assumes that only one of them exists per node\n    38→func determineState(states []string) schema.SchedulerState {\n    39→\tfor _, state := range states {\n    40→\t\tswitch strings.ToLower(state) {\n    41→\t\tcase \"allocated\":\n    42→\t\t\treturn schema.NodeStateAllocated\n    43→\t\tcase \"reserved\":\n    44→\t\t\treturn schema.NodeStateReserved\n    45→\t\tcase \"idle\":\n    46→\t\t\treturn schema.NodeStateIdle\n    47→\t\tcase \"down\":\n    48→\t\t\treturn schema.NodeStateDown\n    49→\t\tcase \"mixed\":\n    50→\t\t\treturn schema.NodeStateMixed\n    51→\t\t}\n    52→\t}\n    53→\n    54→\treturn schema.NodeStateUnknown\n    55→}\n    56→\n    57→// updateNodeStates godoc\n    58→// @summary     Deliver updated Slurm node states\n    59→// @tags Nodestates\n    60→// @description Returns a JSON-encoded list of users.\n    61→// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n    62→// @produce     json\n    63→// @param       request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n    64→// @success     200     {object} api.DefaultAPIResponse \"Success message\"\n    65→// @failure     400     {object} api.ErrorResponse      \"Bad Request\"\n    66→// @failure     401     {object} api.ErrorResponse      \"Unauthorized\"\n    67→// @failure     403     {object} api.ErrorResponse      \"Forbidden\"\n    68→// @failure     500     {object} api.ErrorResponse      \"Internal Server Error\"\n    69→// @security    ApiKeyAuth\n    70→// @router      /api/nodestats/ [post]\n    71→func (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n    72→\t// Parse request body\n    73→\treq := UpdateNodeStatesRequest{}\n    74→\tif err := decode(r.Body, &req); err != nil {\n    75→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n    76→\t\t\thttp.StatusBadRequest, rw)\n    77→\t\treturn\n    78→\t}\n    79→\trequestReceived := time.Now().Unix()\n    80→\trepo := repository.GetNodeRepository()\n    81→\n    82→\tm := make(map[string][]string)\n    83→\tmetricNames := make(map[string][]string)\n    84→\thealthResults := make(map[string]metricstore.HealthCheckResult)\n    85→\n    86→\tstartMs := time.Now()\n    87→\n    88→\t// Step 1: Build nodeList and metricList per subcluster\n    89→\tfor _, node := range req.Nodes {\n    90→\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n    91→\t\t\tm[sc] = append(m[sc], node.Hostname)\n    92→\t\t}\n    93→\t}\n    94→\n    95→\tfor sc := range m {\n    96→\t\tif sc != \"\" {\n    97→\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n    98→\t\t\tmetricNames[sc] = metricListToNames(metricList)\n    99→\t\t}\n   100→\t}"}]},"uuid":"085bc42c-e966-4db3-a9ee-dd5f0a17f0b2","timestamp":"2026-03-16T10:19:14.612Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"1bca4a0e-a37e-45cd-b75c-7472d13fb965","timestamp":"2026-03-16T10:19:14.616Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"1bca4a0e-a37e-45cd-b75c-7472d13fb965","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:15.708Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01CXmzugVGwb8E2Zu2pgwpTF","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FP9cGEWnLxaPiP3u4xSNdP","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":2094,"cache_read_input_tokens":68339,"cache_creation":{"ephemeral_5m_input_tokens":2094,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b8hKsn3iYxBBtGYFJX","uuid":"b0ab6579-85df-4bb4-97a3-7052f0e1cb3d"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"7821a38c-2891-4b0b-a7bb-20af92e3eacd","timestamp":"2026-03-16T10:19:15.709Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"7821a38c-2891-4b0b-a7bb-20af92e3eacd","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FP9cGEWnLxaPiP3u4xSNdP","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"database/sql\"\n    10→\t\"encoding/json\"\n    11→\t\"strings\"\n    12→\t\"sync\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n    21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n    23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    24→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n    25→)\n    26→\n    27→// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n    28→// It mirrors the functionality of the REST API but uses NATS messaging with\n    29→// InfluxDB line protocol as the message format.\n    30→//\n    31→// # Message Format\n    32→//\n    33→// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n    34→// with the following structure:\n    35→//\n    36→//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n    37→//\n    38→// # Job Events\n    39→//\n    40→// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n    41→//\n    42→//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n    43→//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n    44→//\n    45→// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n    46→//\n    47→// Example job start message:\n    48→//\n    49→//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n    50→//\n    51→// # Node State Events\n    52→//\n    53→// Node state updates use the \"nodestate\" measurement with cluster information:\n    54→//\n    55→//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n    56→//\n    57→// The JSON payload follows the UpdateNodeStatesRequest structure.\n    58→//\n    59→// Example node state message:\n    60→//\n    61→//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\n    62→type NatsAPI struct {\n    63→\tJobRepository *repository.JobRepository\n    64→\t// RepositoryMutex protects job creation operations from race conditions\n    65→\t// when checking for duplicate jobs during startJob calls.\n    66→\tRepositoryMutex sync.Mutex\n    67→\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n    68→\t// when the database is under contention.\n    69→\tjobSem chan struct{}\n    70→\t// nodeSem limits concurrent NATS node state processing.\n    71→\tnodeSem chan struct{}\n    72→}\n    73→\n    74→// NewNatsAPI creates a new NatsAPI instance with default dependencies.\n    75→func NewNatsAPI() *NatsAPI {\n    76→\treturn &NatsAPI{\n    77→\t\tJobRepository: repository.GetJobRepository(),\n    78→\t\tjobSem:        make(chan struct{}, 8),\n    79→\t\tnodeSem:       make(chan struct{}, 2),\n    80→\t}\n    81→}\n    82→\n    83→// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n    84→// Returns an error if the NATS client is not available or subscription fails.\n    85→func (api *NatsAPI) StartSubscriptions() error {\n    86→\tclient := nats.GetClient()\n    87→\tif client == nil {\n    88→\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n    89→\t\treturn nil\n    90→\t}\n    91→\n    92→\tif config.Keys.APISubjects != nil {\n    93→\n    94→\t\ts := config.Keys.APISubjects\n    95→\n    96→\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n    97→\t\t\treturn err\n    98→\t\t}\n    99→\n   100→\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n   101→\t\t\treturn err\n   102→\t\t}\n   103→\n   104→\t\tcclog.Info(\"NATS API subscriptions started\")\n   105→\t}\n   106→\treturn nil\n   107→}\n   108→\n   109→// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n   110→// Validates that required tags and fields are present before processing.\n   111→func (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n   112→\tfunction, ok := msg.GetTag(\"function\")\n   113→\tif !ok {\n   114→\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n   115→\t\treturn\n   116→\t}\n   117→\n   118→\tswitch function {\n   119→\tcase \"start_job\":\n   120→\t\tv, ok := msg.GetEventValue()\n   121→\t\tif !ok {\n   122→\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n   123→\t\t\treturn\n   124→\t\t}\n   125→\t\tapi.handleStartJob(v)\n   126→\n   127→\tcase \"stop_job\":\n   128→\t\tv, ok := msg.GetEventValue()\n   129→\t\tif !ok {\n   130→\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n   131→\t\t\treturn\n   132→\t\t}\n   133→\t\tapi.handleStopJob(v)\n   134→\n   135→\tdefault:\n   136→\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n   137→\t}\n   138→}\n   139→\n   140→// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n   141→// The message must be in line protocol format with measurement=\"job\" and include:\n   142→//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n   143→//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n   144→//\n   145→// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\n   146→func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n   147→\tapi.jobSem <- struct{}{}\n   148→\tdefer func() { <-api.jobSem }()\n   149→\n   150→\tif len(data) == 0 {"}]},"uuid":"86fde437-b528-499c-a1d7-5fa79121d4a3","timestamp":"2026-03-16T10:19:15.717Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"10db13cc-82fa-4994-9a75-e267b3ebaf1a","timestamp":"2026-03-16T10:19:15.867Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"8cd10b6f-eaf8-4eb3-ad75-c9533683b391","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CGZx3Tcha15fXatnAhrEZW","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package api\n     7→\n     8→import (\n     9→\t\"database/sql\"\n    10→\t\"encoding/json\"\n    11→\t\"strings\"\n    12→\t\"sync\"\n    13→\t\"time\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n    21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n    23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    24→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n    25→)\n    26→\n    27→// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n    28→// It mirrors the functionality of the REST API but uses NATS messaging with\n    29→// InfluxDB line protocol as the message format.\n    30→//\n    31→// # Message Format\n    32→//\n    33→// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n    34→// with the following structure:\n    35→//\n    36→//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n    37→//\n    38→// # Job Events\n    39→//\n    40→// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n    41→//\n    42→//\tjob,function=start_job event=\"{...JSON payload...}\" <timestamp>\n    43→//\tjob,function=stop_job event=\"{...JSON payload...}\" <timestamp>\n    44→//\n    45→// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n    46→//\n    47→// Example job start message:\n    48→//\n    49→//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n    50→//\n    51→// # Node State Events\n    52→//\n    53→// Node state updates use the \"nodestate\" measurement with cluster information:\n    54→//\n    55→//\tnodestate event=\"{...JSON payload...}\" <timestamp>\n    56→//\n    57→// The JSON payload follows the UpdateNodeStatesRequest structure.\n    58→//\n    59→// Example node state message:\n    60→//\n    61→//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\n    62→type NatsAPI struct {\n    63→\tJobRepository *repository.JobRepository\n    64→\t// RepositoryMutex protects job creation operations from race conditions\n    65→\t// when checking for duplicate jobs during startJob calls.\n    66→\tRepositoryMutex sync.Mutex\n    67→\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n    68→\t// when the database is under contention.\n    69→\tjobSem chan struct{}\n    70→\t// nodeSem limits concurrent NATS node state processing.\n    71→\tnodeSem chan struct{}\n    72→}\n    73→\n    74→// NewNatsAPI creates a new NatsAPI instance with default dependencies.\n    75→func NewNatsAPI() *NatsAPI {\n    76→\treturn &NatsAPI{\n    77→\t\tJobRepository: repository.GetJobRepository(),\n    78→\t\tjobSem:        make(chan struct{}, 8),\n    79→\t\tnodeSem:       make(chan struct{}, 2),\n    80→\t}\n    81→}\n    82→\n    83→// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n    84→// Returns an error if the NATS client is not available or subscription fails.\n    85→func (api *NatsAPI) StartSubscriptions() error {\n    86→\tclient := nats.GetClient()\n    87→\tif client == nil {\n    88→\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n    89→\t\treturn nil\n    90→\t}\n    91→\n    92→\tif config.Keys.APISubjects != nil {\n    93→\n    94→\t\ts := config.Keys.APISubjects\n    95→\n    96→\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n    97→\t\t\treturn err\n    98→\t\t}\n    99→\n   100→\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n   101→\t\t\treturn err\n   102→\t\t}\n   103→\n   104→\t\tcclog.Info(\"NATS API subscriptions started\")\n   105→\t}\n   106→\treturn nil\n   107→}\n   108→\n   109→// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n   110→// Validates that required tags and fields are present before processing.\n   111→func (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n   112→\tfunction, ok := msg.GetTag(\"function\")\n   113→\tif !ok {\n   114→\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n   115→\t\treturn\n   116→\t}\n   117→\n   118→\tswitch function {\n   119→\tcase \"start_job\":\n   120→\t\tv, ok := msg.GetEventValue()\n   121→\t\tif !ok {\n   122→\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n   123→\t\t\treturn\n   124→\t\t}\n   125→\t\tapi.handleStartJob(v)\n   126→\n   127→\tcase \"stop_job\":\n   128→\t\tv, ok := msg.GetEventValue()\n   129→\t\tif !ok {\n   130→\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n   131→\t\t\treturn\n   132→\t\t}\n   133→\t\tapi.handleStopJob(v)\n   134→\n   135→\tdefault:\n   136→\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n   137→\t}\n   138→}\n   139→\n   140→// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n   141→// The message must be in line protocol format with measurement=\"job\" and include:\n   142→//   - tag \"function\" with value \"start_job\" or \"stop_job\"\n   143→//   - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n   144→//\n   145→// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\n   146→func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n   147→\tapi.jobSem <- struct{}{}\n   148→\tdefer func() { <-api.jobSem }()\n   149→\n   150→\tif len(data) == 0 {"}]},"uuid":"187897f4-6a9a-44cb-ad1f-d7a698c576a8","timestamp":"2026-03-16T10:19:16.416Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"678f1bdf-2c96-4b0e-90c6-e66435e0bb0a","timestamp":"2026-03-16T10:19:16.419Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"d8731946-abff-4cfa-a1e9-76475a1b2d16","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016H5RJKfCjDuuicn8ZMGcPE","type":"tool_result","content":"   165→// AddTagsToJob is the resolver for the addTagsToJob field.\n   166→func (r *mutationResolver) AddTagsToJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n   167→\tuser := repository.GetUserFromContext(ctx)\n   168→\tif user == nil {\n   169→\t\treturn nil, fmt.Errorf(\"no user in context\")\n   170→\t}\n   171→\n   172→\tjid, err := strconv.ParseInt(job, 10, 64)\n   173→\tif err != nil {\n   174→\t\tcclog.Warn(\"Error while adding tag to job\")\n   175→\t\treturn nil, err\n   176→\t}\n   177→\n   178→\ttags := []*schema.Tag{}\n   179→\tfor _, tagID := range tagIds {\n   180→\t\t// Get ID\n   181→\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n   182→\t\tif err != nil {\n   183→\t\t\tcclog.Warn(\"Error while parsing tag id\")\n   184→\t\t\treturn nil, err\n   185→\t\t}\n   186→\n   187→\t\t// Test Exists\n   188→\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n   189→\t\tif !exists {\n   190→\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n   191→\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n   192→\t\t}\n   193→\n   194→\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n   195→\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n   196→\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n   197→\t\t\tuser.Username == tscope {\n   198→\t\t\t// Add to Job\n   199→\t\t\tif tags, err = r.Repo.AddTag(user, jid, tid); err != nil {\n   200→\t\t\t\tcclog.Warn(\"Error while adding tag\")\n   201→\t\t\t\treturn nil, err\n   202→\t\t\t}\n   203→\t\t} else {\n   204→\t\t\tcclog.Warnf(\"Not authorized to add tag: %d\", tid)\n   205→\t\t\treturn nil, fmt.Errorf(\"not authorized to add tag: %d\", tid)\n   206→\t\t}\n   207→\t}\n   208→\n   209→\treturn tags, nil\n   210→}\n   211→\n   212→// RemoveTagsFromJob is the resolver for the removeTagsFromJob field.\n   213→func (r *mutationResolver) RemoveTagsFromJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n   214→\tuser := repository.GetUserFromContext(ctx)\n   215→\tif user == nil {\n   216→\t\treturn nil, fmt.Errorf(\"no user in context\")\n   217→\t}\n   218→\n   219→\tjid, err := strconv.ParseInt(job, 10, 64)\n   220→\tif err != nil {\n   221→\t\tcclog.Warn(\"Error while parsing job id\")\n   222→\t\treturn nil, err\n   223→\t}\n   224→\n   225→\ttags := []*schema.Tag{}\n   226→\tfor _, tagID := range tagIds {\n   227→\t\t// Get ID\n   228→\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n   229→\t\tif err != nil {\n   230→\t\t\tcclog.Warn(\"Error while parsing tag id\")\n   231→\t\t\treturn nil, err\n   232→\t\t}\n   233→\n   234→\t\t// Test Exists\n   235→\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n   236→\t\tif !exists {\n   237→\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n   238→\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n   239→\t\t}\n   240→\n   241→\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n   242→\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n   243→\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n   244→\t\t\tuser.Username == tscope {\n   245→\t\t\t// Remove from Job\n   246→\t\t\tif tags, err = r.Repo.RemoveTag(user, jid, tid); err != nil {\n   247→\t\t\t\tcclog.Warn(\"Error while removing tag\")\n   248→\t\t\t\treturn nil, err\n   249→\t\t\t}\n   250→\t\t} else {\n   251→\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n   252→\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n   253→\t\t}\n   254→\n   255→\t}\n   256→\n   257→\treturn tags, nil\n   258→}\n   259→\n   260→// RemoveTagFromList is the resolver for the removeTagFromList field.\n   261→func (r *mutationResolver) RemoveTagFromList(ctx context.Context, tagIds []string) ([]int, error) {\n   262→\t// Needs Contextuser\n   263→\tuser := repository.GetUserFromContext(ctx)\n   264→\tif user == nil {\n   265→\t\treturn nil, fmt.Errorf(\"no user in context\")\n   266→\t}\n   267→\n   268→\ttags := []int{}\n   269→\tfor _, tagID := range tagIds {\n   270→\t\t// Get ID\n   271→\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n   272→\t\tif err != nil {\n   273→\t\t\tcclog.Warn(\"Error while parsing tag id for removal\")\n   274→\t\t\treturn nil, err\n   275→\t\t}\n   276→\n   277→\t\t// Test Exists\n   278→\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n   279→\t\tif !exists {\n   280→\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n   281→\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n   282→\t\t}\n   283→\n   284→\t\t// Test Access: Admins && Admin Tag OR Everyone && Private Tag\n   285→\t\tif user.HasRole(schema.RoleAdmin) && (tscope == \"global\" || tscope == \"admin\") || user.Username == tscope {\n   286→\t\t\t// Remove from DB\n   287→\t\t\tif err = r.Repo.RemoveTagByID(tid); err != nil {\n   288→\t\t\t\tcclog.Warn(\"Error while removing tag\")\n   289→\t\t\t\treturn nil, err\n   290→\t\t\t} else {\n   291→\t\t\t\ttags = append(tags, int(tid))\n   292→\t\t\t}\n   293→\t\t} else {\n   294→\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n   295→\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n   296→\t\t}\n   297→\t}\n   298→\treturn tags, nil\n   299→}\n   300→\n   301→// UpdateConfiguration is the resolver for the updateConfiguration field.\n   302→func (r *mutationResolver) UpdateConfiguration(ctx context.Context, name string, value string) (*string, error) {\n   303→\tif err := repository.GetUserCfgRepo().UpdateConfig(name, value, repository.GetUserFromContext(ctx)); err != nil {\n   304→\t\tcclog.Warn(\"Error while updating user config\")\n   305→\t\treturn nil, err\n   306→\t}\n   307→\n   308→\treturn nil, nil\n   309→}\n   310→\n   311→// ID is the resolver for the id field.\n   312→func (r *nodeResolver) ID(ctx context.Context, obj *schema.Node) (string, error) {\n   313→\tpanic(fmt.Errorf(\"not implemented: ID - id\"))\n   314→}"}]},"uuid":"5250fa07-2887-48b4-940d-7cb00ada80f1","timestamp":"2026-03-16T10:19:20.202Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"3130ba5c-0b2b-40fe-b363-9c01afe8b031","timestamp":"2026-03-16T10:19:20.240Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"be9edc37-8b94-42c3-a207-56a1de047ced","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","type":"tool_result","content":[{"type":"text","text":"Perfect. Now I have enough information to provide a comprehensive analysis. Let me compile my findings:\n\n## DB Write Patterns Analysis - ClusterCockpit cc-backend\n\nBased on my thorough exploration of the codebase, I've identified several DB write patterns and opportunities for transaction-based optimization. Here's my detailed analysis:\n\n---\n\n## 1. TAG OPERATIONS - HIGH TRANSACTION OPPORTUNITY\n\n### Pattern: AddTagOrCreate (Internal/repository/tags.go:424)\nWhen adding tags to a job with multiple tags, each tag operation is **separate and non-transactional**:\n\n```\nstartJob() → for each tag {\n  → TagID lookup (SELECT)\n  → CreateTag (INSERT) if missing\n  → AddTag (INSERT into jobtag)\n  → GetTags (SELECT)\n  → archive.UpdateTags() (file write)\n}\n```\n\n**Current Issues:**\n- **Line 760-777** in `/internal/api/job.go`: When startJob is called with `req.Tags`, each tag is added individually via `AddTagOrCreate()` inside a loop\n- **Line 570-583** in `/internal/api/job.go`: tagJob endpoint adds multiple tags one-by-one with individual archive updates\n- **Lines 165-210** in `/internal/graph/schema.resolvers.go`: GraphQL AddTagsToJob loops through tag IDs, calling `AddTag()` for each without batching\n\n**Batch Potential:** ⭐⭐⭐⭐⭐ **HIGHEST**\n- A job with 5 tags = 5 separate transactions (INSERT + SELECT + archive write)\n- Could be batched into single transaction: 1 INSERT many jobtag + 1 archive write\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go`\n\n**addJobTag() helper (line 398):** Performs 3 operations per tag:\n1. INSERT into jobtag\n2. SELECT tags\n3. archive.UpdateTags() (file I/O)\n\n**AddTagOrCreate() (line 424):** Chains multiple operations:\n1. TagID lookup\n2. CreateTag if missing (conditional INSERT)\n3. AddTag (calls addJobTag, which does 3 more ops)\n\n---\n\n## 2. JOB ARCHIVING WRITES - MODERATE TRANSACTION OPPORTUNITY\n\n### Pattern: Archiving Workflow (archiveWorker in /internal/archiver/archiveWorker.go)\n\nWhen a job is archived, **3-4 separate UPDATE statements** execute sequentially:\n\n```\narchivingWorker() → for job in archiveChannel {\n  → FetchMetadata (SELECT)\n  → ArchiveJob() (file writes + calculations)\n  → UpdateFootprint (UPDATE)\n  → UpdateEnergy (UPDATE)  \n  → MarkArchived (UPDATE)\n  → Execute(stmt) (single UPDATE with 3 SET clauses)\n  → CallJobStopHooks()\n}\n```\n\n**Current Issues:**\n- **Lines 145-159** in `/internal/archiver/archiveWorker.go`: Three separate `.Set()` calls chained together but executed as ONE statement via `jobRepo.Execute(stmt)`\n- Actually **GOOD**: The code chains multiple SET operations into a single UPDATE via Squirrel builder pattern\n- However, the statement is still a single UPDATE - could be a transaction for safety\n\n**Transaction Benefit:** ⭐⭐⭐ **MODERATE**\n- Currently chains SETs into one UPDATE (good)\n- Could add transaction wrapper for atomicity guarantee\n- Already uses statement builder pattern to combine updates\n\n### Key Files:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go:145-163`\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:908-999` (UpdateEnergy, UpdateFootprint, MarkArchived, Execute)\n\n---\n\n## 3. JOB IMPORT/RESTORE - HIGH TRANSACTION OPPORTUNITY\n\n### Pattern: HandleImportFlag (internal/importer/handleImport.go:38)\n\nImports job metadata + tags without batching:\n\n```\nHandleImportFlag(flag) → for each job in flag {\n  → Read JSON files\n  → archive.ImportJob() (file write)\n  → InsertJobDirect (INSERT)\n  → for each tag in job.Tags {\n    → ImportTag() (SELECT + INSERT per tag)\n  }\n}\n```\n\n**Current Issues:**\n- **Lines 105-116** in `/internal/importer/handleImport.go`: \n  - 1 job INSERT per job\n  - N tag operations (SELECT + INSERT) per job\n  - No transaction wrapping job + all its tags\n  \n**Batch Potential:** ⭐⭐⭐⭐⭐ **HIGHEST**\n- If importing 100 jobs with 3 tags each = 100 INSERTs + 300 tag lookups/inserts\n- Could batch into transaction: INSERT 100 jobs + 300 tag associations in single txn\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go:111-116`\n\n---\n\n## 4. JOB CACHE TO MAIN TABLE TRANSFER - IDENTIFIED ISSUE\n\n### Pattern: TransferCachedJobToMain (internal/repository/jobCreate.go:143)\n\n**EXACT ISSUE YOU MENTIONED:**\n\n```go\n// TransferCachedJobToMain - Lines 143-162\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n    res, err := r.DB.Exec(\n        \"INSERT INTO job ... SELECT ... FROM job_cache WHERE id = ?\", cacheID)\n    if err != nil { return 0, ... }\n    \n    newID, err := res.LastInsertId()\n    if err != nil { return 0, ... }\n    \n    _, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)  // SEPARATE OPERATION\n    if err != nil { return 0, ... }\n    \n    return newID, nil\n}\n```\n\n**Issue:** ⚠️ **TWO SEPARATE EXEC CALLS**\n- Line 144-146: INSERT\n- Line 156: DELETE\n- No transaction wrapping both operations\n- **Risk:** If DELETE fails, job orphaned in main table and cache\n\n**Transaction Fix:** Wrap both operations in `tx.Beginx()` / `tx.Commit()`\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go:143-162`\n\n---\n\n## 5. JOB STOP WORKFLOW - MILD CONSOLIDATION OPPORTUNITY\n\n### Pattern: stopJobByRequest (internal/api/job.go:805)\n\nCalls `checkAndHandleStopJob()` which likely:\n1. Updates job state (Stop)\n2. Transfers from cache to main table (INSERT + DELETE as shown above)\n3. Triggers archiving\n\n**Issue:** Multiple separate repository calls that could be transactional\n\n### Key Files:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go:805-835`\n- The actual logic is in `checkAndHandleStopJob()` - would need to read that\n\n---\n\n## 6. TAG REMOVAL - DISTRIBUTED WRITES\n\n### Pattern: RemoveTagByID (internal/repository/tags.go:216)\n\n```go\n// RemoveTagByID - Lines 216-244\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n    jobIds, err := r.FindJobIdsByTag(tagID)  // SELECT all job IDs\n    \n    qJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n    if _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil { ... }\n    \n    qTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n    if _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil { ... }\n    \n    go r.removeTagFromArchiveJobs(jobIds)  // ASYNC goroutine\n    \n    return nil\n}\n```\n\n**Issues:**\n- **2 separate DELETE statements** (jobtag, then tag)\n- Could be 1 transaction\n- Archive updates run **asynchronously in goroutine** (line 241)\n- **Lines 183-199** show async archive updates without error handling\n\n**Transaction Opportunity:** ⭐⭐⭐ **MODERATE**\n- Can wrap 2 DELETEs in single transaction\n\n### Key Files:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go:216-244`\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go:183-199`\n\n---\n\n## 7. GRAPHQL TAG MUTATIONS - LOOP-BASED WRITES\n\n### Pattern: AddTagsToJob, RemoveTagsFromJob (internal/graph/schema.resolvers.go:166, 213)\n\n**Lines 179-207** and **Lines 226-255**:\n```go\nfor _, tagID := range tagIds {\n    // Lookup tag\n    _, _, tscope, exists := r.Repo.TagInfo(tid)\n    // Authorization check\n    // Add/Remove\n    if tags, err = r.Repo.AddTag(...); err != nil { ... }\n}\n```\n\n**Issue:**\n- **Loop per tag** with individual `AddTag()` or `RemoveTag()` calls\n- 5 tags = 5 separate database transactions with archive updates\n- Could batch into single transaction\n\n**Batch Potential:** ⭐⭐⭐⭐ **HIGH**\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go:165-210, 212-258`\n\n---\n\n## 8. NATS API - SEMAPHORE-PROTECTED WRITES\n\n### Pattern: NATS Job/Node event handlers (internal/api/nats.go)\n\nUses semaphores to limit concurrency:\n```go\ntype NatsAPI struct {\n    jobSem chan struct{} // capacity 8\n    nodeSem chan struct{} // capacity 2\n}\n\nfunc (api *NatsAPI) handleJobEvent(...) {\n    api.jobSem <- struct{}{}      // acquire semaphore\n    defer func() { <-api.jobSem }() // release\n    // ... process job (same write patterns as REST)\n}\n```\n\n**No Issues:** Semaphores are for concurrency control, not transactional. Underlying writes are same as REST API (non-transactional tag adds).\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:62-80, 147-148`\n\n---\n\n## 9. STATISTICS/ENERGY FOOTPRINT UPDATES - AGGREGATION-ONLY\n\n### Pattern: Stats queries (internal/repository/stats.go)\n\nAll **READ-ONLY** SELECT with aggregations. No write batching opportunities.\n\nKey observation: Post-archiving stats updates are computed by `UpdateFootprint()` and `UpdateEnergy()` which are already in a single UPDATE statement (item #2).\n\n---\n\n## TRANSACTION SUPPORT STATUS\n\n**Good news:** The codebase **already has transaction support**:\n\n### Available Transaction API (internal/repository/transaction.go):\n```go\ntype Transaction struct { tx *sqlx.Tx }\n\nfunc (r *JobRepository) TransactionInit() (*Transaction, error)\nfunc (t *Transaction) Commit() error\nfunc (t *Transaction) Rollback() error\nfunc (r *JobRepository) TransactionAddNamed(t *Transaction, query string, args ...any) (int64, error)\nfunc (r *JobRepository) TransactionAdd(t *Transaction, query string, args ...any) (int64, error)\n```\n\n**Currently used in:** `/internal/repository/jobCreate.go:96-120` (SyncJobs function uses `tx.Beginx()`)\n\n**Not used in:** Tag operations, individual archiving, import loops\n\n---\n\n## SUMMARY TABLE\n\n| Pattern | Location | Issue | Batch Potential | Transaction Support | Priority |\n|---------|----------|-------|-----------------|---------------------|----------|\n| AddTagOrCreate in loop | api/job.go:760-777, api/job.go:570-583 | 1 txn per tag | ⭐⭐⭐⭐⭐ | Exists | HIGH |\n| ImportTag per tag | importer/handleImport.go:111-116 | 1 txn per tag | ⭐⭐⭐⭐⭐ | Exists | HIGH |\n| TransferCachedJobToMain | repository/jobCreate.go:143-162 | INSERT + DELETE separate | ⭐⭐⭐⭐ | Exists | **CRITICAL** |\n| RemoveTagByID | repository/tags.go:216-244 | 2 separate DELETEs | ⭐⭐⭐ | Exists | MEDIUM |\n| GraphQL AddTagsToJob | graph/schema.resolvers.go:179-207 | 1 txn per tag | ⭐⭐⭐⭐ | Exists | HIGH |\n| Archiving updates | archiver/archiveWorker.go:145-163 | 3 SETs chained (OK) | ⭐⭐ | Already good | LOW |\n| Job stats queries | repository/stats.go | Read-only aggregations | N/A | N/A | N/A |\n\n---\n\n## RECOMMENDATIONS\n\n1. **CRITICAL**: Fix `TransferCachedJobToMain()` - wrap INSERT + DELETE in transaction\n2. **HIGH**: Batch tag operations in `tagJob()` and `AddTagsToJob()` - add `BatchAddTags()` method\n3. **HIGH**: Batch import tag operations - wrap job insert + all tags in single transaction\n4. **MEDIUM**: Consolidate `RemoveTagByID()` - use single transaction for both DELETEs\n5. **MEDIUM**: Add async tag removal with error handling - current goroutine silently fails\n\n---\n\nThese patterns show that while transaction support exists, it's **underutilized** in high-frequency write paths, particularly around tag management where multiple individual operations could be safely batched."},{"type":"text","text":"agentId: ae6e94e07c8dc030e (for resuming to continue this agent's work if needed)\n<usage>total_tokens: 81850\ntool_uses: 29\nduration_ms: 64839</usage>"}]}]},"uuid":"e4783a98-7be1-497b-bb9d-b9abe1032483","timestamp":"2026-03-16T10:19:56.245Z","toolUseResult":{"status":"completed","prompt":"Explore the cc-backend codebase for DB write patterns specifically around:\n\n1. **Tag operations** - AddTagOrCreate, adding tags to jobs. These are often called in loops (e.g., when starting a job with multiple tags). Check internal/repository/tags.go or similar files.\n\n2. **Job archiving writes** - What happens when a job is archived? Does it update the job table? Check internal/archiver/ for the archiving flow and what DB writes it does.\n\n3. **Job import/restore** - Check internal/importer/ for bulk import operations.\n\n4. **Energy footprint / statistics updates** - Any post-processing that updates job rows after archiving.\n\n5. **TransferCachedJobToMain** in internal/repository/jobCreate.go - this does INSERT + DELETE as separate operations. Could these be in a transaction?\n\nFor each pattern, identify if multiple individual writes could be combined into transactions or batch operations.\n\nAlso check internal/api/rest.go for the REST endpoint handlers (startJob, stopJob, etc.) to see their DB write patterns.","agentId":"ae6e94e07c8dc030e","content":[{"type":"text","text":"Perfect. Now I have enough information to provide a comprehensive analysis. Let me compile my findings:\n\n## DB Write Patterns Analysis - ClusterCockpit cc-backend\n\nBased on my thorough exploration of the codebase, I've identified several DB write patterns and opportunities for transaction-based optimization. Here's my detailed analysis:\n\n---\n\n## 1. TAG OPERATIONS - HIGH TRANSACTION OPPORTUNITY\n\n### Pattern: AddTagOrCreate (Internal/repository/tags.go:424)\nWhen adding tags to a job with multiple tags, each tag operation is **separate and non-transactional**:\n\n```\nstartJob() → for each tag {\n  → TagID lookup (SELECT)\n  → CreateTag (INSERT) if missing\n  → AddTag (INSERT into jobtag)\n  → GetTags (SELECT)\n  → archive.UpdateTags() (file write)\n}\n```\n\n**Current Issues:**\n- **Line 760-777** in `/internal/api/job.go`: When startJob is called with `req.Tags`, each tag is added individually via `AddTagOrCreate()` inside a loop\n- **Line 570-583** in `/internal/api/job.go`: tagJob endpoint adds multiple tags one-by-one with individual archive updates\n- **Lines 165-210** in `/internal/graph/schema.resolvers.go`: GraphQL AddTagsToJob loops through tag IDs, calling `AddTag()` for each without batching\n\n**Batch Potential:** ⭐⭐⭐⭐⭐ **HIGHEST**\n- A job with 5 tags = 5 separate transactions (INSERT + SELECT + archive write)\n- Could be batched into single transaction: 1 INSERT many jobtag + 1 archive write\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go`\n\n**addJobTag() helper (line 398):** Performs 3 operations per tag:\n1. INSERT into jobtag\n2. SELECT tags\n3. archive.UpdateTags() (file I/O)\n\n**AddTagOrCreate() (line 424):** Chains multiple operations:\n1. TagID lookup\n2. CreateTag if missing (conditional INSERT)\n3. AddTag (calls addJobTag, which does 3 more ops)\n\n---\n\n## 2. JOB ARCHIVING WRITES - MODERATE TRANSACTION OPPORTUNITY\n\n### Pattern: Archiving Workflow (archiveWorker in /internal/archiver/archiveWorker.go)\n\nWhen a job is archived, **3-4 separate UPDATE statements** execute sequentially:\n\n```\narchivingWorker() → for job in archiveChannel {\n  → FetchMetadata (SELECT)\n  → ArchiveJob() (file writes + calculations)\n  → UpdateFootprint (UPDATE)\n  → UpdateEnergy (UPDATE)  \n  → MarkArchived (UPDATE)\n  → Execute(stmt) (single UPDATE with 3 SET clauses)\n  → CallJobStopHooks()\n}\n```\n\n**Current Issues:**\n- **Lines 145-159** in `/internal/archiver/archiveWorker.go`: Three separate `.Set()` calls chained together but executed as ONE statement via `jobRepo.Execute(stmt)`\n- Actually **GOOD**: The code chains multiple SET operations into a single UPDATE via Squirrel builder pattern\n- However, the statement is still a single UPDATE - could be a transaction for safety\n\n**Transaction Benefit:** ⭐⭐⭐ **MODERATE**\n- Currently chains SETs into one UPDATE (good)\n- Could add transaction wrapper for atomicity guarantee\n- Already uses statement builder pattern to combine updates\n\n### Key Files:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go:145-163`\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:908-999` (UpdateEnergy, UpdateFootprint, MarkArchived, Execute)\n\n---\n\n## 3. JOB IMPORT/RESTORE - HIGH TRANSACTION OPPORTUNITY\n\n### Pattern: HandleImportFlag (internal/importer/handleImport.go:38)\n\nImports job metadata + tags without batching:\n\n```\nHandleImportFlag(flag) → for each job in flag {\n  → Read JSON files\n  → archive.ImportJob() (file write)\n  → InsertJobDirect (INSERT)\n  → for each tag in job.Tags {\n    → ImportTag() (SELECT + INSERT per tag)\n  }\n}\n```\n\n**Current Issues:**\n- **Lines 105-116** in `/internal/importer/handleImport.go`: \n  - 1 job INSERT per job\n  - N tag operations (SELECT + INSERT) per job\n  - No transaction wrapping job + all its tags\n  \n**Batch Potential:** ⭐⭐⭐⭐⭐ **HIGHEST**\n- If importing 100 jobs with 3 tags each = 100 INSERTs + 300 tag lookups/inserts\n- Could batch into transaction: INSERT 100 jobs + 300 tag associations in single txn\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go:111-116`\n\n---\n\n## 4. JOB CACHE TO MAIN TABLE TRANSFER - IDENTIFIED ISSUE\n\n### Pattern: TransferCachedJobToMain (internal/repository/jobCreate.go:143)\n\n**EXACT ISSUE YOU MENTIONED:**\n\n```go\n// TransferCachedJobToMain - Lines 143-162\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n    res, err := r.DB.Exec(\n        \"INSERT INTO job ... SELECT ... FROM job_cache WHERE id = ?\", cacheID)\n    if err != nil { return 0, ... }\n    \n    newID, err := res.LastInsertId()\n    if err != nil { return 0, ... }\n    \n    _, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)  // SEPARATE OPERATION\n    if err != nil { return 0, ... }\n    \n    return newID, nil\n}\n```\n\n**Issue:** ⚠️ **TWO SEPARATE EXEC CALLS**\n- Line 144-146: INSERT\n- Line 156: DELETE\n- No transaction wrapping both operations\n- **Risk:** If DELETE fails, job orphaned in main table and cache\n\n**Transaction Fix:** Wrap both operations in `tx.Beginx()` / `tx.Commit()`\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go:143-162`\n\n---\n\n## 5. JOB STOP WORKFLOW - MILD CONSOLIDATION OPPORTUNITY\n\n### Pattern: stopJobByRequest (internal/api/job.go:805)\n\nCalls `checkAndHandleStopJob()` which likely:\n1. Updates job state (Stop)\n2. Transfers from cache to main table (INSERT + DELETE as shown above)\n3. Triggers archiving\n\n**Issue:** Multiple separate repository calls that could be transactional\n\n### Key Files:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go:805-835`\n- The actual logic is in `checkAndHandleStopJob()` - would need to read that\n\n---\n\n## 6. TAG REMOVAL - DISTRIBUTED WRITES\n\n### Pattern: RemoveTagByID (internal/repository/tags.go:216)\n\n```go\n// RemoveTagByID - Lines 216-244\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n    jobIds, err := r.FindJobIdsByTag(tagID)  // SELECT all job IDs\n    \n    qJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n    if _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil { ... }\n    \n    qTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n    if _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil { ... }\n    \n    go r.removeTagFromArchiveJobs(jobIds)  // ASYNC goroutine\n    \n    return nil\n}\n```\n\n**Issues:**\n- **2 separate DELETE statements** (jobtag, then tag)\n- Could be 1 transaction\n- Archive updates run **asynchronously in goroutine** (line 241)\n- **Lines 183-199** show async archive updates without error handling\n\n**Transaction Opportunity:** ⭐⭐⭐ **MODERATE**\n- Can wrap 2 DELETEs in single transaction\n\n### Key Files:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go:216-244`\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go:183-199`\n\n---\n\n## 7. GRAPHQL TAG MUTATIONS - LOOP-BASED WRITES\n\n### Pattern: AddTagsToJob, RemoveTagsFromJob (internal/graph/schema.resolvers.go:166, 213)\n\n**Lines 179-207** and **Lines 226-255**:\n```go\nfor _, tagID := range tagIds {\n    // Lookup tag\n    _, _, tscope, exists := r.Repo.TagInfo(tid)\n    // Authorization check\n    // Add/Remove\n    if tags, err = r.Repo.AddTag(...); err != nil { ... }\n}\n```\n\n**Issue:**\n- **Loop per tag** with individual `AddTag()` or `RemoveTag()` calls\n- 5 tags = 5 separate database transactions with archive updates\n- Could batch into single transaction\n\n**Batch Potential:** ⭐⭐⭐⭐ **HIGH**\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go:165-210, 212-258`\n\n---\n\n## 8. NATS API - SEMAPHORE-PROTECTED WRITES\n\n### Pattern: NATS Job/Node event handlers (internal/api/nats.go)\n\nUses semaphores to limit concurrency:\n```go\ntype NatsAPI struct {\n    jobSem chan struct{} // capacity 8\n    nodeSem chan struct{} // capacity 2\n}\n\nfunc (api *NatsAPI) handleJobEvent(...) {\n    api.jobSem <- struct{}{}      // acquire semaphore\n    defer func() { <-api.jobSem }() // release\n    // ... process job (same write patterns as REST)\n}\n```\n\n**No Issues:** Semaphores are for concurrency control, not transactional. Underlying writes are same as REST API (non-transactional tag adds).\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:62-80, 147-148`\n\n---\n\n## 9. STATISTICS/ENERGY FOOTPRINT UPDATES - AGGREGATION-ONLY\n\n### Pattern: Stats queries (internal/repository/stats.go)\n\nAll **READ-ONLY** SELECT with aggregations. No write batching opportunities.\n\nKey observation: Post-archiving stats updates are computed by `UpdateFootprint()` and `UpdateEnergy()` which are already in a single UPDATE statement (item #2).\n\n---\n\n## TRANSACTION SUPPORT STATUS\n\n**Good news:** The codebase **already has transaction support**:\n\n### Available Transaction API (internal/repository/transaction.go):\n```go\ntype Transaction struct { tx *sqlx.Tx }\n\nfunc (r *JobRepository) TransactionInit() (*Transaction, error)\nfunc (t *Transaction) Commit() error\nfunc (t *Transaction) Rollback() error\nfunc (r *JobRepository) TransactionAddNamed(t *Transaction, query string, args ...any) (int64, error)\nfunc (r *JobRepository) TransactionAdd(t *Transaction, query string, args ...any) (int64, error)\n```\n\n**Currently used in:** `/internal/repository/jobCreate.go:96-120` (SyncJobs function uses `tx.Beginx()`)\n\n**Not used in:** Tag operations, individual archiving, import loops\n\n---\n\n## SUMMARY TABLE\n\n| Pattern | Location | Issue | Batch Potential | Transaction Support | Priority |\n|---------|----------|-------|-----------------|---------------------|----------|\n| AddTagOrCreate in loop | api/job.go:760-777, api/job.go:570-583 | 1 txn per tag | ⭐⭐⭐⭐⭐ | Exists | HIGH |\n| ImportTag per tag | importer/handleImport.go:111-116 | 1 txn per tag | ⭐⭐⭐⭐⭐ | Exists | HIGH |\n| TransferCachedJobToMain | repository/jobCreate.go:143-162 | INSERT + DELETE separate | ⭐⭐⭐⭐ | Exists | **CRITICAL** |\n| RemoveTagByID | repository/tags.go:216-244 | 2 separate DELETEs | ⭐⭐⭐ | Exists | MEDIUM |\n| GraphQL AddTagsToJob | graph/schema.resolvers.go:179-207 | 1 txn per tag | ⭐⭐⭐⭐ | Exists | HIGH |\n| Archiving updates | archiver/archiveWorker.go:145-163 | 3 SETs chained (OK) | ⭐⭐ | Already good | LOW |\n| Job stats queries | repository/stats.go | Read-only aggregations | N/A | N/A | N/A |\n\n---\n\n## RECOMMENDATIONS\n\n1. **CRITICAL**: Fix `TransferCachedJobToMain()` - wrap INSERT + DELETE in transaction\n2. **HIGH**: Batch tag operations in `tagJob()` and `AddTagsToJob()` - add `BatchAddTags()` method\n3. **HIGH**: Batch import tag operations - wrap job insert + all tags in single transaction\n4. **MEDIUM**: Consolidate `RemoveTagByID()` - use single transaction for both DELETEs\n5. **MEDIUM**: Add async tag removal with error handling - current goroutine silently fails\n\n---\n\nThese patterns show that while transaction support exists, it's **underutilized** in high-frequency write paths, particularly around tag management where multiple individual operations could be safely batched."}],"totalDurationMs":64839,"totalTokens":81850,"totalToolUseCount":29,"usage":{"input_tokens":5,"cache_creation_input_tokens":1906,"cache_read_input_tokens":76371,"output_tokens":3568,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1906},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"be9edc37-8b94-42c3-a207-56a1de047ced","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"a93c39ad-d6d5-4a49-a8dd-8b7086258ea9","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","type":"tool_result","content":[{"type":"text","text":"Excellent! Now I have comprehensive information. Let me compile my final report based on all the data I've gathered.\n\n---\n\n## COMPREHENSIVE DATABASE WRITE OPERATIONS ANALYSIS - cc-backend\n\nBased on my thorough exploration of the codebase, here is a complete inventory of all database WRITE operations organized by contention patterns and optimization opportunities:\n\n### SECTION 1: JOB LIFECYCLE WRITES (CRITICAL CONTENTION POINTS)\n\n#### 1.1 Job Start/Insert Operations\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `InsertJob()` (line 54-70) | NamedExec to job_cache | Per-request (REST/NATS) | Mutex-protected only | CONTENTION: Single insert per request, uses mutex not transactions |\n| `InsertJobDirect()` (line 36-52) | NamedExec to job table | Per-request (with tags) | Mutex-protected only | CONTENTION: Mutex serializes all tag insertions sequentially |\n| `Start()` (line 166-183) | Marshals then InsertJob | Per-request | Indirect (via InsertJob) | THREE writes: footprint + resources + metadata marshaling before DB write |\n| `StartDirect()` (line 188-205) | Marshals then InsertJobDirect | Per-request (with tags) | Indirect (via InsertJobDirect) | SAME: Three marshals before single DB insert |\n| `SyncJobs()` (line 72-139) | INSERT OR IGNORE + DELETE in transaction | Periodic (cache flush) | **Transactional** ✓ | Good: Batches cache-to-main table transfer, but job-cache is per-request |\n| `TransferCachedJobToMain()` (line 143-162) | INSERT + DELETE (separate) | Per-job transfer | **NOT in transaction** ✗ | **ISSUE**: Two separate Exec() calls without transaction - race condition risk |\n\n**Key Findings:**\n- Job inserts use coarse `Mutex` locking instead of transactions\n- Every job start with tags locks the entire JobRepository for the duration\n- `TransferCachedJobToMain()` has two separate writes without transactional guarantees\n\n#### 1.2 Job Stop/Update Operations\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `Stop()` (line 208-226) | UPDATE job SET state/duration/monitoring_status | Per job-stop | No transaction | Single update, but needs cache invalidation |\n| `UpdateMonitoringStatus()` (line 892-902) | UPDATE job SET monitoring_status | Archiving failures | No transaction | Called frequently during archiving errors |\n| `UpdateMetadata()` (line 268-306) | UPDATE job SET meta_data + archive.UpdateMetadata() | Per metadata edit | No transaction | Two writes: DB + archive file (potential inconsistency) |\n| `DeleteJobByID()` (line 470-477) | DELETE from job | On-demand cleanup | No transaction | Single delete but should cascade with jobtag |\n| `DeleteJobsBefore()` (line 399-461) | DELETE from job WHERE start_time < ? | Periodic cleanup | No transaction | Bulk delete (potentially thousands of rows) without transaction |\n\n#### 1.3 Footprint & Energy Updates\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `UpdateFootprint()` (line 1010-1045) | Builds UPDATE stmt (not executed) | Archiving, footprint service | Returns builder only | Caller must execute; no transaction wrapping |\n| `UpdateEnergy()` (line 960-999) | Builds UPDATE stmt (not executed) | Archiving, footprint service | Returns builder only | Caller must execute; no transaction wrapping |\n\n**Critical Issue:** These return unexecuted UPDATE builders, caller is responsible for execution:\n- Archiver calls both in sequence (archiveWorker.go line 147-152) - **2 separate statements**\n- updateFootprintService calls them per-job in a loop - **potential N separate statements**\n\n---\n\n### SECTION 2: NODE STATE WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `AddNode()` (line 182-197) | NamedExec INSERT node | On first state update | No transaction | Single insert, minimal issue |\n| `UpdateNodeState()` (line 208-245) | SELECT node, AddNode if missing, then NamedExec node_state | Per state update | No transaction | **CONTENTION**: Two writes (node + state) without transaction |\n| `BatchUpdateNodeStates()` (line 257-316) | **Transactional batch** | Per REST /api/nodestats | **YES - Full transaction** ✓ | **GOOD**: Entire batch in single transaction |\n| `DeleteNodeStatesBefore()` (line 383-396) | DELETE node_state WHERE time_stamp < ? | Periodic cleanup | No transaction | Bulk delete without transaction |\n\n**Key Finding:**\n- `BatchUpdateNodeStates()` is well-optimized (transaction + prepared statements)\n- But `UpdateNodeState()` is called per-request and NOT transactional (called from NATS)\n\n---\n\n### SECTION 3: USER MANAGEMENT WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `AddUser()` (line 126-189) | INSERT hpc_user + INSERT configuration (for each default cluster) | Per user creation | No transaction | **CONTENTION**: Loop with separate INSERT per cluster (lines 167-184) |\n| `AddUserIfNotExists()` (line 195-204) | INSERT OR IGNORE | LDAP sync/concurrent login | **Implicit safeguard** | Uses INSERT OR IGNORE for race condition safety |\n| `UpdateUser()` (line 206-276) | Multiple UPDATE calls in conditionals (lines 210-273) | Per admin user update | **NO - Separate calls** ✗ | **CONTENTION**: Each role/project change is separate UPDATE with no transaction |\n| `AddRole()` (line 336-363) | UPDATE hpc_user SET roles | Per admin request | No transaction | Single update |\n| `RemoveRole()` (line 370-404) | UPDATE hpc_user SET roles | Per admin request | No transaction | Single update |\n| `AddProject()` (line 412-436) | UPDATE hpc_user SET projects | Per admin request | No transaction | Single update |\n| `RemoveProject()` (line 438-476) | UPDATE hpc_user SET projects | Per admin request | No transaction | Single update |\n| `DelUser()` (line 278-286) | DELETE hpc_user | Per admin request | No transaction | Single delete |\n\n**Key Findings:**\n- `AddUser()` has implicit loop with N separate INSERTs for default metrics (deprecated code at line 162)\n- `UpdateUser()` has 4 separate UPDATE paths with no transaction (lines 210, 220, 227, 233, 245, 248, 256, 270)\n\n---\n\n### SECTION 4: TAG MANAGEMENT WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `CreateTag()` (line 255-271) | INSERT tag | Per unique tag | No transaction | Single insert, minimal contention |\n| `AddTag()` (line 73-83) | INSERT jobtag + archive.UpdateTags() | Per tag-job association | No transaction | **CONTENTION**: Two writes (DB + archive) without transaction |\n| `AddTagDirect()` (line 87-97) | Same as AddTag | From importer/batch | No transaction | Same issue |\n| `addJobTag()` (line 398-420) | INSERT jobtag + getTags callback + archive.UpdateTags() | Internal helper | No transaction | **THREE operations**: INSERT, SELECT, archive update |\n| `AddTagOrCreate()` (line 424-451) | CreateTag if missing, then AddTag | Per request | No transaction | Nested writes without transaction |\n| `RemoveTag()` (line 101-129) | DELETE jobtag + archive.UpdateTags() | Per tag removal | No transaction | **CONTENTION**: Two writes without transaction |\n| `RemoveTagByID()` (line 216-244) | DELETE jobtag + DELETE tag + async removeTagFromArchiveJobs | Per tag deletion | **Partial** ✗ | Two DB deletes OK, but async archive update has race condition |\n| `RemoveJobTagByRequest()` (line 133-170) | Same as RemoveTag | REST API path | No transaction | Two writes without transaction |\n| `ImportTag()` (line 620-640) | INSERT jobtag (after CreateTag checked) | Per import | No transaction | Single insert in loop |\n\n**Key Findings:**\n- Tag operations pair DB writes with archive file updates without transactions\n- `RemoveTagByID()` spawns goroutine (line 241) for archive update - potential race condition\n\n---\n\n### SECTION 5: USER CONFIG WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/userConfig.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `UpdateConfig()` (line 110-125) | REPLACE configuration | Per UI config change | No transaction | Single REPLACE, minimal contention |\n\n---\n\n### SECTION 6: ARCHIVER WRITES (BACKGROUND WORKER)\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| Archiving sequence (line 130-160) | UpdateMonitoringStatus (on error) + UpdateFootprint() + UpdateEnergy() + Exec | Per job archiving | **SEPARATE calls** ✗ | **CRITICAL**: UpdateFootprint/UpdateEnergy return builders, archiver executes 2 statements without transaction (lines 147-155) |\n\n**Critical Issue:**\n```\nstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\nstmt, err = jobRepo.UpdateFootprint(stmt, jobMeta)  // Modifies stmt\nif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta)  // Further modifies stmt\n// Only NOW is stmt.Exec() called - both updates in single statement\n// BUT UpdateMonitoringStatus() above is separate (line 130) = 2 separate writes\n```\n\n---\n\n### SECTION 7: IMPORTER WRITES (BULK OPERATIONS)\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/initDB.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `InitDB()` (line 49-154) | Batch 100 jobs per transaction | Startup/full reimport | **Transactional batches** ✓ | GOOD: Groups 100 INSERT + tag operations per transaction |\n| Job insert in batch | TransactionAddNamed for job | Per 100 jobs | Within transaction ✓ | OK |\n| Tag insert in batch | TransactionAdd for tag/jobtag | Per tag in job | Within transaction ✓ | OK |\n\n**Key Finding:**\n- `InitDB()` is well-optimized with batch transactions (100 jobs each)\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `HandleImportFlag()` (line 38-121) | Per-file: archive.ImportJob + InsertJobDirect + loop ImportTag | Per import file | **NO transaction** ✗ | **ISSUE**: Each imported job is separate (no batching), tags inserted one-by-one |\n\n---\n\n### SECTION 8: REST API WRITES (internal/api)\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `startJob()` (REST POST /api/jobs/) | Start/tag write sequence | Per REST request | Caller handles via NATS/archiver | Delegates to repository |\n| `stopJob()` (REST POST /api/jobs/stop/) | Stop + UpdateMonitoringStatus | Per REST request | Separate calls | Job.Stop() + archiver trigger |\n| `editMeta()` (PATCH /api/jobs/edit_meta/{id}) | UpdateMetadata() | Per edit request | No transaction | Single DB write + archive |\n| `deleteJob()` | DeleteJobByID() | Per admin request | No transaction | Single delete |\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/user.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `updateUser()` (line 76-128) | AddRole/RemoveRole/AddProject/RemoveProject conditionally | Per admin request | **NO transaction** ✗ | Each operation is separate UPDATE call (lines 94, 102, 110, 118) |\n| `createUser()` (line 147-193) | AddUser (with deprecated metric config loop) | Per user creation | No transaction | Delegates to repository |\n\n**Key Finding:**\n- API handlers directly call repository methods without batching\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `updateNodeStates()` (line 71-150) | BatchUpdateNodeStates() | Per REST /api/nodestats | **YES** ✓ | GOOD: Already using batch transaction wrapper |\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `handleStartJob()` (line 180-247) | Start/tag sequence + RepositoryMutex | Per NATS job.start message | Mutex + conditional | Serializes duplicate checks across all job starts |\n| `handleStopJob()` (line 252-300+) | Stop + monitoring status | Per NATS job.stop message | No transaction | Separate calls |\n\n**Key Finding:**\n- `handleStartJob()` uses coarse `RepositoryMutex` for all job starts (limits concurrency to 1)\n\n---\n\n## SECTION 9: TRANSACTION SUPPORT INFRASTRUCTURE\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/transaction.go`\n\n| Operation | Pattern | Available | Used | Issue |\n|-----------|---------|-----------|------|-------|\n| `TransactionInit()` | Begin transaction | YES | ✓ InitDB only | Underutilized outside of initialization |\n| `TransactionAdd()` | Exec within tx | YES | ✓ InitDB only | Not used in REST/NATS handlers |\n| `TransactionAddNamed()` | NamedExec within tx | YES | ✓ InitDB only | Designed for batch but only used in InitDB |\n| `Commit()` / `Rollback()` | Standard tx control | YES | ✓ | Available but not used in hot paths |\n\n---\n\n## HIGH-PRIORITY CONTENTION ISSUES\n\n### **CRITICAL (P0):**\n\n1. **Job Start Serialization** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:206`\n   - `RepositoryMutex.Lock()` serializes ALL concurrent job starts\n   - Limits throughput to single job start at a time\n   - Held during duplicate check + tag operations\n   - **Impact:** NATS job start concurrency = 1\n\n2. **TransferCachedJobToMain Race Condition** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go:143-162`\n   - INSERT + DELETE are separate `Exec()` calls\n   - No transaction between them\n   - If process crashes between INSERT and DELETE, job_cache row orphaned\n   - **Impact:** Data loss / inconsistency risk during transfers\n\n3. **Tag Operations Without Transactions** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go`\n   - `AddTag()`: DB INSERT jobtag + archive.UpdateTags() separate\n   - `RemoveTag()`: DB DELETE jobtag + archive.UpdateTags() separate  \n   - `RemoveTagByID()`: spawns async goroutine for archive (race condition)\n   - **Impact:** DB-archive inconsistency if either fails mid-operation\n\n4. **Archiver Multiple Separate Updates** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go:130,147-155`\n   - UpdateMonitoringStatus (line 130) = separate write\n   - UpdateFootprint + UpdateEnergy (lines 147-155) = combined in single statement\n   - But if footprint fails, energy never updated\n   - **Impact:** Incomplete job archiving data\n\n### **HIGH (P1):**\n\n5. **UpdateUser Without Transaction** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go:206-276`\n   - 4 separate UPDATE paths, no transaction\n   - If admin modifies role+project, inconsistent state if second fails\n   - **Impact:** User permission inconsistencies\n\n6. **AddUser Deprecated Loop** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go:167-184`\n   - Loop with separate INSERT per cluster\n   - Code marked DEPRECATED but still runs\n   - **Impact:** N separate writes per user creation\n\n7. **HandleImportFlag No Batching** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go:38-121`\n   - Each imported job is individual (no transaction)\n   - Loop of InsertJobDirect + ImportTag calls\n   - **Impact:** No batch optimization for bulk imports\n\n8. **DeleteJobsBefore Bulk Without Transaction** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:399-461`\n   - DELETE from job WHERE start_time < ?\n   - Potentially thousands of rows, single statement but no transaction\n   - If cascades fail, inconsistent state\n   - **Impact:** Data integrity during bulk cleanup\n\n9. **UpdateMetadata Split Write** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:268-306`\n   - DB UPDATE + archive.UpdateMetadata() separate\n   - No transaction\n   - **Impact:** DB-archive inconsistency on failure\n\n10. **REST API User Updates Serialize** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/user.go:76-128`\n    - Each role/project operation is separate REST handler call\n    - updateUser() itself calls single repository method per request\n    - **Impact:** User sees 4 separate state changes if adding role+project\n\n---\n\n## SUMMARY TABLE - WRITE OPERATIONS BY CONTENTION RISK\n\n| Component | Location | Writes/Batch | Transaction | Frequency | Risk Level |\n|-----------|----------|--------------|-------------|-----------|-----------|\n| Job Start (NATS) | nats.go:206 | 1-2 (job+tags) | **Mutex-only** | Per job start | **CRITICAL** |\n| Job Start (REST) | jobCreate.go | 1-2 (job+tags) | Mutex-only | Per job start | CRITICAL |\n| TransferCachedJobToMain | jobCreate.go:144,156 | 2 (INSERT+DELETE) | **None** | Cache flush | **CRITICAL** |\n| Tag Add/Remove | tags.go | 2 (DB+archive) | None | Per tag op | **HIGH** |\n| User Update | user.go:206 | 4 (separate UPDATEs) | None | Per admin update | **HIGH** |\n| Node State (batch) | node.go:257 | N (batched) | **Transaction** ✓ | Per REST request | LOW |\n| InitDB Import | initDB.go | 100 (batched) | **Transaction** ✓ | Startup | LOW |\n| Job Archive | archiveWorker.go | 3 (separate) | Partial ✗ | Per job archive | **HIGH** |\n\n---\n\n## RECOMMENDATIONS FOR OPTIMIZATION\n\n1. **Replace Mutex with Transactions** for job start operations\n2. **Batch TagOps** into single transaction for add/remove\n3. **Transactionalize** UpdateUser role/project changes\n4. **Wrap Archiver** updates in single transaction\n5. **Add Transactional Batching** to HandleImportFlag\n6. **Fix TransferCachedJobToMain** race by moving to transaction\n7. **Remove Deprecated User Config Loop** in AddUser\n\nAll paths are now documented with specific file paths, line numbers, and actionable issues."},{"type":"text","text":"agentId: ab0b0e624428f5b1f (for resuming to continue this agent's work if needed)\n<usage>total_tokens: 120521\ntool_uses: 32\nduration_ms: 81558</usage>"}]}]},"uuid":"a337a0bd-8ef5-4b12-8203-5819f98796af","timestamp":"2026-03-16T10:20:01.529Z","toolUseResult":{"status":"completed","prompt":"Explore the cc-backend codebase for all database WRITE operations (INSERT, UPDATE, DELETE, Exec, NamedExec) that could cause SQLite write contention. I need to find patterns that are:\n\n1. Called frequently or in loops without transactions\n2. Multiple separate writes that could be batched into a single transaction\n3. Write operations triggered by external events (REST handlers, scheduled tasks, archiving)\n\nFocus on these directories:\n- internal/repository/ (all .go files)\n- internal/api/ (all .go files)  \n- internal/archiver/\n- internal/importer/\n\nFor each write operation found, note:\n- The function name and file path\n- Whether it's already in a transaction\n- How frequently it's likely called (per-request, per-job, periodic, etc.)\n- Whether multiple writes happen in sequence that could be batched\n\nBe very thorough - check every .go file in these directories. Skip test files.","agentId":"ab0b0e624428f5b1f","content":[{"type":"text","text":"Excellent! Now I have comprehensive information. Let me compile my final report based on all the data I've gathered.\n\n---\n\n## COMPREHENSIVE DATABASE WRITE OPERATIONS ANALYSIS - cc-backend\n\nBased on my thorough exploration of the codebase, here is a complete inventory of all database WRITE operations organized by contention patterns and optimization opportunities:\n\n### SECTION 1: JOB LIFECYCLE WRITES (CRITICAL CONTENTION POINTS)\n\n#### 1.1 Job Start/Insert Operations\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `InsertJob()` (line 54-70) | NamedExec to job_cache | Per-request (REST/NATS) | Mutex-protected only | CONTENTION: Single insert per request, uses mutex not transactions |\n| `InsertJobDirect()` (line 36-52) | NamedExec to job table | Per-request (with tags) | Mutex-protected only | CONTENTION: Mutex serializes all tag insertions sequentially |\n| `Start()` (line 166-183) | Marshals then InsertJob | Per-request | Indirect (via InsertJob) | THREE writes: footprint + resources + metadata marshaling before DB write |\n| `StartDirect()` (line 188-205) | Marshals then InsertJobDirect | Per-request (with tags) | Indirect (via InsertJobDirect) | SAME: Three marshals before single DB insert |\n| `SyncJobs()` (line 72-139) | INSERT OR IGNORE + DELETE in transaction | Periodic (cache flush) | **Transactional** ✓ | Good: Batches cache-to-main table transfer, but job-cache is per-request |\n| `TransferCachedJobToMain()` (line 143-162) | INSERT + DELETE (separate) | Per-job transfer | **NOT in transaction** ✗ | **ISSUE**: Two separate Exec() calls without transaction - race condition risk |\n\n**Key Findings:**\n- Job inserts use coarse `Mutex` locking instead of transactions\n- Every job start with tags locks the entire JobRepository for the duration\n- `TransferCachedJobToMain()` has two separate writes without transactional guarantees\n\n#### 1.2 Job Stop/Update Operations\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `Stop()` (line 208-226) | UPDATE job SET state/duration/monitoring_status | Per job-stop | No transaction | Single update, but needs cache invalidation |\n| `UpdateMonitoringStatus()` (line 892-902) | UPDATE job SET monitoring_status | Archiving failures | No transaction | Called frequently during archiving errors |\n| `UpdateMetadata()` (line 268-306) | UPDATE job SET meta_data + archive.UpdateMetadata() | Per metadata edit | No transaction | Two writes: DB + archive file (potential inconsistency) |\n| `DeleteJobByID()` (line 470-477) | DELETE from job | On-demand cleanup | No transaction | Single delete but should cascade with jobtag |\n| `DeleteJobsBefore()` (line 399-461) | DELETE from job WHERE start_time < ? | Periodic cleanup | No transaction | Bulk delete (potentially thousands of rows) without transaction |\n\n#### 1.3 Footprint & Energy Updates\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `UpdateFootprint()` (line 1010-1045) | Builds UPDATE stmt (not executed) | Archiving, footprint service | Returns builder only | Caller must execute; no transaction wrapping |\n| `UpdateEnergy()` (line 960-999) | Builds UPDATE stmt (not executed) | Archiving, footprint service | Returns builder only | Caller must execute; no transaction wrapping |\n\n**Critical Issue:** These return unexecuted UPDATE builders, caller is responsible for execution:\n- Archiver calls both in sequence (archiveWorker.go line 147-152) - **2 separate statements**\n- updateFootprintService calls them per-job in a loop - **potential N separate statements**\n\n---\n\n### SECTION 2: NODE STATE WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `AddNode()` (line 182-197) | NamedExec INSERT node | On first state update | No transaction | Single insert, minimal issue |\n| `UpdateNodeState()` (line 208-245) | SELECT node, AddNode if missing, then NamedExec node_state | Per state update | No transaction | **CONTENTION**: Two writes (node + state) without transaction |\n| `BatchUpdateNodeStates()` (line 257-316) | **Transactional batch** | Per REST /api/nodestats | **YES - Full transaction** ✓ | **GOOD**: Entire batch in single transaction |\n| `DeleteNodeStatesBefore()` (line 383-396) | DELETE node_state WHERE time_stamp < ? | Periodic cleanup | No transaction | Bulk delete without transaction |\n\n**Key Finding:**\n- `BatchUpdateNodeStates()` is well-optimized (transaction + prepared statements)\n- But `UpdateNodeState()` is called per-request and NOT transactional (called from NATS)\n\n---\n\n### SECTION 3: USER MANAGEMENT WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `AddUser()` (line 126-189) | INSERT hpc_user + INSERT configuration (for each default cluster) | Per user creation | No transaction | **CONTENTION**: Loop with separate INSERT per cluster (lines 167-184) |\n| `AddUserIfNotExists()` (line 195-204) | INSERT OR IGNORE | LDAP sync/concurrent login | **Implicit safeguard** | Uses INSERT OR IGNORE for race condition safety |\n| `UpdateUser()` (line 206-276) | Multiple UPDATE calls in conditionals (lines 210-273) | Per admin user update | **NO - Separate calls** ✗ | **CONTENTION**: Each role/project change is separate UPDATE with no transaction |\n| `AddRole()` (line 336-363) | UPDATE hpc_user SET roles | Per admin request | No transaction | Single update |\n| `RemoveRole()` (line 370-404) | UPDATE hpc_user SET roles | Per admin request | No transaction | Single update |\n| `AddProject()` (line 412-436) | UPDATE hpc_user SET projects | Per admin request | No transaction | Single update |\n| `RemoveProject()` (line 438-476) | UPDATE hpc_user SET projects | Per admin request | No transaction | Single update |\n| `DelUser()` (line 278-286) | DELETE hpc_user | Per admin request | No transaction | Single delete |\n\n**Key Findings:**\n- `AddUser()` has implicit loop with N separate INSERTs for default metrics (deprecated code at line 162)\n- `UpdateUser()` has 4 separate UPDATE paths with no transaction (lines 210, 220, 227, 233, 245, 248, 256, 270)\n\n---\n\n### SECTION 4: TAG MANAGEMENT WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `CreateTag()` (line 255-271) | INSERT tag | Per unique tag | No transaction | Single insert, minimal contention |\n| `AddTag()` (line 73-83) | INSERT jobtag + archive.UpdateTags() | Per tag-job association | No transaction | **CONTENTION**: Two writes (DB + archive) without transaction |\n| `AddTagDirect()` (line 87-97) | Same as AddTag | From importer/batch | No transaction | Same issue |\n| `addJobTag()` (line 398-420) | INSERT jobtag + getTags callback + archive.UpdateTags() | Internal helper | No transaction | **THREE operations**: INSERT, SELECT, archive update |\n| `AddTagOrCreate()` (line 424-451) | CreateTag if missing, then AddTag | Per request | No transaction | Nested writes without transaction |\n| `RemoveTag()` (line 101-129) | DELETE jobtag + archive.UpdateTags() | Per tag removal | No transaction | **CONTENTION**: Two writes without transaction |\n| `RemoveTagByID()` (line 216-244) | DELETE jobtag + DELETE tag + async removeTagFromArchiveJobs | Per tag deletion | **Partial** ✗ | Two DB deletes OK, but async archive update has race condition |\n| `RemoveJobTagByRequest()` (line 133-170) | Same as RemoveTag | REST API path | No transaction | Two writes without transaction |\n| `ImportTag()` (line 620-640) | INSERT jobtag (after CreateTag checked) | Per import | No transaction | Single insert in loop |\n\n**Key Findings:**\n- Tag operations pair DB writes with archive file updates without transactions\n- `RemoveTagByID()` spawns goroutine (line 241) for archive update - potential race condition\n\n---\n\n### SECTION 5: USER CONFIG WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/userConfig.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `UpdateConfig()` (line 110-125) | REPLACE configuration | Per UI config change | No transaction | Single REPLACE, minimal contention |\n\n---\n\n### SECTION 6: ARCHIVER WRITES (BACKGROUND WORKER)\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| Archiving sequence (line 130-160) | UpdateMonitoringStatus (on error) + UpdateFootprint() + UpdateEnergy() + Exec | Per job archiving | **SEPARATE calls** ✗ | **CRITICAL**: UpdateFootprint/UpdateEnergy return builders, archiver executes 2 statements without transaction (lines 147-155) |\n\n**Critical Issue:**\n```\nstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\nstmt, err = jobRepo.UpdateFootprint(stmt, jobMeta)  // Modifies stmt\nif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta)  // Further modifies stmt\n// Only NOW is stmt.Exec() called - both updates in single statement\n// BUT UpdateMonitoringStatus() above is separate (line 130) = 2 separate writes\n```\n\n---\n\n### SECTION 7: IMPORTER WRITES (BULK OPERATIONS)\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/initDB.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `InitDB()` (line 49-154) | Batch 100 jobs per transaction | Startup/full reimport | **Transactional batches** ✓ | GOOD: Groups 100 INSERT + tag operations per transaction |\n| Job insert in batch | TransactionAddNamed for job | Per 100 jobs | Within transaction ✓ | OK |\n| Tag insert in batch | TransactionAdd for tag/jobtag | Per tag in job | Within transaction ✓ | OK |\n\n**Key Finding:**\n- `InitDB()` is well-optimized with batch transactions (100 jobs each)\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `HandleImportFlag()` (line 38-121) | Per-file: archive.ImportJob + InsertJobDirect + loop ImportTag | Per import file | **NO transaction** ✗ | **ISSUE**: Each imported job is separate (no batching), tags inserted one-by-one |\n\n---\n\n### SECTION 8: REST API WRITES (internal/api)\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `startJob()` (REST POST /api/jobs/) | Start/tag write sequence | Per REST request | Caller handles via NATS/archiver | Delegates to repository |\n| `stopJob()` (REST POST /api/jobs/stop/) | Stop + UpdateMonitoringStatus | Per REST request | Separate calls | Job.Stop() + archiver trigger |\n| `editMeta()` (PATCH /api/jobs/edit_meta/{id}) | UpdateMetadata() | Per edit request | No transaction | Single DB write + archive |\n| `deleteJob()` | DeleteJobByID() | Per admin request | No transaction | Single delete |\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/user.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `updateUser()` (line 76-128) | AddRole/RemoveRole/AddProject/RemoveProject conditionally | Per admin request | **NO transaction** ✗ | Each operation is separate UPDATE call (lines 94, 102, 110, 118) |\n| `createUser()` (line 147-193) | AddUser (with deprecated metric config loop) | Per user creation | No transaction | Delegates to repository |\n\n**Key Finding:**\n- API handlers directly call repository methods without batching\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `updateNodeStates()` (line 71-150) | BatchUpdateNodeStates() | Per REST /api/nodestats | **YES** ✓ | GOOD: Already using batch transaction wrapper |\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `handleStartJob()` (line 180-247) | Start/tag sequence + RepositoryMutex | Per NATS job.start message | Mutex + conditional | Serializes duplicate checks across all job starts |\n| `handleStopJob()` (line 252-300+) | Stop + monitoring status | Per NATS job.stop message | No transaction | Separate calls |\n\n**Key Finding:**\n- `handleStartJob()` uses coarse `RepositoryMutex` for all job starts (limits concurrency to 1)\n\n---\n\n## SECTION 9: TRANSACTION SUPPORT INFRASTRUCTURE\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/transaction.go`\n\n| Operation | Pattern | Available | Used | Issue |\n|-----------|---------|-----------|------|-------|\n| `TransactionInit()` | Begin transaction | YES | ✓ InitDB only | Underutilized outside of initialization |\n| `TransactionAdd()` | Exec within tx | YES | ✓ InitDB only | Not used in REST/NATS handlers |\n| `TransactionAddNamed()` | NamedExec within tx | YES | ✓ InitDB only | Designed for batch but only used in InitDB |\n| `Commit()` / `Rollback()` | Standard tx control | YES | ✓ | Available but not used in hot paths |\n\n---\n\n## HIGH-PRIORITY CONTENTION ISSUES\n\n### **CRITICAL (P0):**\n\n1. **Job Start Serialization** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:206`\n   - `RepositoryMutex.Lock()` serializes ALL concurrent job starts\n   - Limits throughput to single job start at a time\n   - Held during duplicate check + tag operations\n   - **Impact:** NATS job start concurrency = 1\n\n2. **TransferCachedJobToMain Race Condition** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go:143-162`\n   - INSERT + DELETE are separate `Exec()` calls\n   - No transaction between them\n   - If process crashes between INSERT and DELETE, job_cache row orphaned\n   - **Impact:** Data loss / inconsistency risk during transfers\n\n3. **Tag Operations Without Transactions** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go`\n   - `AddTag()`: DB INSERT jobtag + archive.UpdateTags() separate\n   - `RemoveTag()`: DB DELETE jobtag + archive.UpdateTags() separate  \n   - `RemoveTagByID()`: spawns async goroutine for archive (race condition)\n   - **Impact:** DB-archive inconsistency if either fails mid-operation\n\n4. **Archiver Multiple Separate Updates** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go:130,147-155`\n   - UpdateMonitoringStatus (line 130) = separate write\n   - UpdateFootprint + UpdateEnergy (lines 147-155) = combined in single statement\n   - But if footprint fails, energy never updated\n   - **Impact:** Incomplete job archiving data\n\n### **HIGH (P1):**\n\n5. **UpdateUser Without Transaction** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go:206-276`\n   - 4 separate UPDATE paths, no transaction\n   - If admin modifies role+project, inconsistent state if second fails\n   - **Impact:** User permission inconsistencies\n\n6. **AddUser Deprecated Loop** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go:167-184`\n   - Loop with separate INSERT per cluster\n   - Code marked DEPRECATED but still runs\n   - **Impact:** N separate writes per user creation\n\n7. **HandleImportFlag No Batching** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go:38-121`\n   - Each imported job is individual (no transaction)\n   - Loop of InsertJobDirect + ImportTag calls\n   - **Impact:** No batch optimization for bulk imports\n\n8. **DeleteJobsBefore Bulk Without Transaction** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:399-461`\n   - DELETE from job WHERE start_time < ?\n   - Potentially thousands of rows, single statement but no transaction\n   - If cascades fail, inconsistent state\n   - **Impact:** Data integrity during bulk cleanup\n\n9. **UpdateMetadata Split Write** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:268-306`\n   - DB UPDATE + archive.UpdateMetadata() separate\n   - No transaction\n   - **Impact:** DB-archive inconsistency on failure\n\n10. **REST API User Updates Serialize** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/user.go:76-128`\n    - Each role/project operation is separate REST handler call\n    - updateUser() itself calls single repository method per request\n    - **Impact:** User sees 4 separate state changes if adding role+project\n\n---\n\n## SUMMARY TABLE - WRITE OPERATIONS BY CONTENTION RISK\n\n| Component | Location | Writes/Batch | Transaction | Frequency | Risk Level |\n|-----------|----------|--------------|-------------|-----------|-----------|\n| Job Start (NATS) | nats.go:206 | 1-2 (job+tags) | **Mutex-only** | Per job start | **CRITICAL** |\n| Job Start (REST) | jobCreate.go | 1-2 (job+tags) | Mutex-only | Per job start | CRITICAL |\n| TransferCachedJobToMain | jobCreate.go:144,156 | 2 (INSERT+DELETE) | **None** | Cache flush | **CRITICAL** |\n| Tag Add/Remove | tags.go | 2 (DB+archive) | None | Per tag op | **HIGH** |\n| User Update | user.go:206 | 4 (separate UPDATEs) | None | Per admin update | **HIGH** |\n| Node State (batch) | node.go:257 | N (batched) | **Transaction** ✓ | Per REST request | LOW |\n| InitDB Import | initDB.go | 100 (batched) | **Transaction** ✓ | Startup | LOW |\n| Job Archive | archiveWorker.go | 3 (separate) | Partial ✗ | Per job archive | **HIGH** |\n\n---\n\n## RECOMMENDATIONS FOR OPTIMIZATION\n\n1. **Replace Mutex with Transactions** for job start operations\n2. **Batch TagOps** into single transaction for add/remove\n3. **Transactionalize** UpdateUser role/project changes\n4. **Wrap Archiver** updates in single transaction\n5. **Add Transactional Batching** to HandleImportFlag\n6. **Fix TransferCachedJobToMain** race by moving to transaction\n7. **Remove Deprecated User Config Loop** in AddUser\n\nAll paths are now documented with specific file paths, line numbers, and actionable issues."}],"totalDurationMs":81558,"totalTokens":120521,"totalToolUseCount":32,"usage":{"input_tokens":4,"cache_creation_input_tokens":3553,"cache_read_input_tokens":111500,"output_tokens":5464,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":3553},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"a93c39ad-d6d5-4a49-a8dd-8b7086258ea9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"f0935097-6b79-44e4-81d4-4ce525f0f4f3","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MKZPCCebdvpFXikwtfC4E6","type":"tool_result","content":[{"type":"text","text":"Perfect! Now I have gathered comprehensive information. Let me create a detailed summary of all the findings.\n\n## Summary Report: Periodic/Scheduled Tasks and Background Goroutines in cc-backend\n\nI've completed a comprehensive exploration of the cc-backend codebase to identify all periodic/scheduled tasks and background goroutines that write to SQLite. Here's the complete findings:\n\n---\n\n### **TASK MANAGER (gocron-based scheduler)**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/`\n\nThe main scheduler is initialized in `main.go` line 374:\n```go\ntaskmanager.Start(ccconf.GetPackageConfig(\"cron\"), ccconf.GetPackageConfig(\"archive\"))\n```\n\n#### **1. Commit Job Service (commitJobService.go)**\n- **Frequency:** Default 2 minutes (configurable via `commit-job-worker`)\n- **DB Operation:** `jobRepo.SyncJobs()` + callback hooks\n- **Type:** Duration-based job (gocron.DurationJob)\n- **Batching:** Handled via SyncJobs() call\n- **Details:** Syncs job cache and triggers job start hooks\n\n#### **2. Update Duration Worker (updateDurationService.go)**\n- **Frequency:** Default 5 minutes (configurable via `duration-worker`)\n- **DB Operation:** `jobRepo.UpdateDuration()`\n- **Type:** Duration-based job\n- **Batching:** Single call, likely batches updates internally\n- **Details:** Updates job duration fields in DB\n\n#### **3. Footprint Update Worker (updateFootprintService.go)**\n- **Frequency:** Default 10 minutes (configurable via `footprint-worker`)\n- **DB Operation:** Multiple per-cluster database updates using transactions\n  - Uses `jobRepo.TransactionInit()`, `jobRepo.TransactionAdd()`, `jobRepo.TransactionEnd()`\n  - Updates job statistics (avg/min/max) for running jobs\n- **Batching:** Proper transaction batching per cluster\n- **Details:** \n  - Iterates through all clusters and running jobs\n  - Loads metrics from metric stores\n  - Builds UPDATE statements and batches them per cluster\n  - Uses transactions to apply all updates atomically\n\n#### **4. Stop Jobs Exceeding Walltime (stopJobsExceedTime.go)**\n- **Frequency:** Daily at 3:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.StopJobsExceedingWalltimeBy(duration)` + GC\n- **Type:** Daily job (gocron.DailyJob)\n- **Batching:** Handled internally by repository function\n- **Conditional:** Only runs if `config.Keys.StopJobsExceedingWalltime > 0`\n\n#### **5. Retention Delete Service (retentionService.go)**\n- **Frequency:** Daily at 3:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.FindJobsBetween()` + `jobRepo.DeleteJobsBefore()` + `jobRepo.Optimize()`\n- **Type:** Daily job\n- **Batching:** Deletes are batched via `DeleteJobsBefore()`\n- **Conditional:** Only if retention policy = \"delete\"\n- **Details:** Deletes archived jobs older than configured age\n\n#### **6. Retention Copy Service (retentionService.go)**\n- **Frequency:** Daily at 4:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.FindJobsBetween()` (no DB writes, only archive operations)\n- **Type:** Daily job\n- **Conditional:** Only if retention policy = \"copy\"\n- **Details:** Copies jobs to secondary backend without DB deletions\n\n#### **7. Retention Move Service (retentionService.go)**\n- **Frequency:** Daily at 5:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.FindJobsBetween()` + `jobRepo.DeleteJobsBefore()` + `jobRepo.Optimize()`\n- **Type:** Daily job\n- **Batching:** Deletes are batched\n- **Conditional:** Only if retention policy = \"move\"\n- **Details:** Moves jobs to secondary backend then deletes from DB\n\n#### **8. Compression Service (compressionService.go)**\n- **Frequency:** Daily at 5:00 AM (hardcoded, conflicts with move service)\n- **DB Operation:** `jobRepo.FindJobsBetween()` (no DB writes, only archive compression)\n- **Type:** Daily job\n- **Details:** Compresses old archived jobs\n- **Always enabled:** Even without explicit retention config\n\n#### **9. LDAP Sync Service (ldapSyncService.go)**\n- **Frequency:** Configurable via `LdapConfig.SyncInterval`\n- **DB Operation:** `auth.LdapAuth.Sync()` (user table updates, not job-related)\n- **Type:** Duration-based job\n- **Conditional:** Only if LDAP is configured\n\n#### **10. Node State Retention Delete Service (nodestateRetentionService.go)**\n- **Frequency:** Daily at 2:00 AM (hardcoded)\n- **DB Operation:** `nodeRepo.DeleteNodeStatesBefore(cutoff)`\n- **Type:** Daily job\n- **Conditional:** Only if `config.Keys.NodeStateRetention.Policy == \"delete\"`\n- **Details:** Deletes node state records older than configured age (default 24 hours)\n\n#### **11. Node State Retention Move Service (nodestateRetentionService.go)**\n- **Frequency:** Daily at 2:30 AM (hardcoded)\n- **DB Operation:** `nodeRepo.FindNodeStatesBefore()` + `nodeRepo.DeleteNodeStatesBefore()`\n- **Type:** Daily job\n- **Conditional:** Only if `config.Keys.NodeStateRetention.Policy == \"move\"`\n- **Details:** Archives node states to Parquet then deletes from DB\n\n---\n\n### **METRIC STORE BACKGROUND WORKERS**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/`\n\nInitialized in `main.go` line 343:\n```go\nmetricstore.Init(mscfg, metrics, &wg)\n```\n\nThese goroutines run concurrently and handle metric data persistence. **Note: These do NOT directly write to the SQLite job/node database, but they handle metric checkpoint persistence to disk.**\n\n#### **1. Checkpointing Worker (checkpoint.go:94)**\n- **Frequency:** 12 hours (default, configurable via `checkpoint-interval`)\n- **Operation:** Periodic metric data checkpoints to JSON or binary WAL format\n- **Type:** Duration-based ticker\n- **Details:**\n  - Saves in-memory metric buffers to disk\n  - Two formats: JSON (human-readable) or WAL+binary (crash-safe)\n  - Uses worker pool with `Keys.NumWorkers` (default: min(CPU/2+1, 10))\n  - Rotates WAL files after successful checkpoint\n\n#### **2. WAL Staging Worker (walCheckpoint.go:118)**\n- **Frequency:** Continuous (processes messages from channel)\n- **Operation:** Writes individual metric entries to write-ahead logs\n- **Type:** Channel-based message processor\n- **Details:**\n  - Processes `WALMessages` channel (from line protocol ingestion)\n  - Writes binary WAL records to per-host WAL files\n  - Manages file handles for efficient buffering\n  - Handles WAL rotation on command\n\n#### **3. Retention Worker (metricstore.go:320)**\n- **Frequency:** Half of `Keys.RetentionInMemory` interval\n- **Operation:** Frees in-memory metric buffers older than retention period\n- **Type:** Duration-based ticker\n- **Details:**\n  - Calls `Free(ms, t)` to remove old data from memory\n  - Cleans buffer pool with `bufferPool.Clean()`\n  - Does NOT write to SQLite, only memory management\n\n#### **4. Cleanup Worker (archive.go:23)**\n- **Frequency:** `Keys.RetentionInMemory` interval\n- **Operation:** Either archives or deletes old checkpoint files\n- **Type:** Duration-based ticker\n- **Modes:** \n  - \"archive\": Moves old checkpoint files to Parquet format\n  - \"delete\": Deletes old checkpoint files\n- **Details:**\n  - Uses worker pool for parallel processing\n  - Supports both local filesystem and S3 targets\n  - Runs daily cleanup job\n\n#### **5. Memory Usage Tracker (metricstore.go:383)**\n- **Frequency:** `DefaultMemoryUsageTrackerInterval` (appears to be 5-10 min based on code)\n- **Operation:** Monitors memory usage, force-frees buffers if exceeding cap\n- **Type:** Duration-based ticker\n- **Details:**\n  - Checks `runtime.MemStats.Alloc`\n  - Force-frees buffers if memory cap exceeded\n  - Calls `debug.FreeOSMemory()` to return memory to OS\n  - Does NOT write to SQLite\n\n---\n\n### **ARCHIVER BACKGROUND WORKER**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go`\n\n**Initialization:** `main.go` line 373:\n```go\narchiver.Start(repository.GetJobRepository(), ctx)\n```\n\n#### **Archiving Worker (archiveWorker.go:110)**\n- **Frequency:** On-demand (triggered by `TriggerArchiving()` calls)\n- **DB Operations:**\n  - `jobRepo.FetchMetadata(job)` - read\n  - `ArchiveJob(job, ctx)` - archive to external storage\n  - `jobRepo.UpdateFootprint(stmt, jobMeta)` - **writes**\n  - `jobRepo.UpdateEnergy(stmt, jobMeta)` - **writes**\n  - `jobRepo.MarkArchived(stmt, status)` - **writes**\n  - `jobRepo.Execute(stmt)` - executes composite update\n- **Type:** Channel-based consumer (buffered channel, capacity 128)\n- **Batching:** Single UPDATE statement with multiple SET clauses\n- **Trigger Points:**\n  - Called when job stops (via REST API `/api/jobs/stop_job/`)\n  - Called when job stops via NATS API\n- **Details:**\n  - Processes archiving asynchronously\n  - Uses `sync.WaitGroup` for graceful shutdown\n  - Updates job statistics (footprint, energy, monitoring status) atomically\n  - Calls job stop hooks after successful archiving\n\n---\n\n### **REST API ENDPOINTS THAT WRITE TO DATABASE**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/`\n\n#### **Job Start Endpoint** (`job.go:717`)\n- **Path:** `POST/PUT /api/jobs/start_job/`\n- **DB Operations:**\n  - `jobRepo.FindAll()` - check for duplicates (read)\n  - `jobRepo.StartDirect()` or `jobRepo.Start()` - **inserts new job**\n  - `jobRepo.AddTagOrCreate()` - **adds tags** (if provided)\n- **Concurrency:** Uses `RepositoryMutex` to prevent race conditions on duplicate checks\n- **Batching:** Individual calls, not explicitly batched\n- **Async:** Tag addition is async (after response)\n\n#### **Job Stop Endpoint** (`job.go:805`)\n- **Path:** `POST/PUT /api/jobs/stop_job/`\n- **DB Operations:**\n  - `jobRepo.FindCached()` or `jobRepo.Find()` - read\n  - `checkAndHandleStopJob()` - updates job state (line 1000+)\n  - Triggers `archiver.TriggerArchiving()` - queues async archiving\n- **Details:** Moves job to stopped state, triggers async archiving\n\n#### **Update Node States Endpoint** (`node.go:71`)\n- **Path:** `POST/PUT /api/nodestate/`\n- **DB Operations:**\n  - `nodeRepo.InsertNodeStateBegin()` - **starts transaction**\n  - `nodeRepo.InsertNodeState()` - **inserts node states** (batched per subcluster)\n  - `nodeRepo.InsertNodeStateEnd()` - **commits transaction**\n- **Batching:** Per-subcluster transactions\n- **Details:** Updates node allocation/state information\n\n#### **Tag Job Endpoint** (`job.go:545`)\n- **Path:** `POST/PATCH /api/jobs/tag_job/{id}`\n- **DB Operations:** `jobRepo.AddTagOrCreate()` - **inserts/creates tags**\n- **Batching:** No explicit batching\n\n#### **Remove Tag Endpoint** (`job.go:609`)\n- **Path:** `DELETE /api/jobs/tag_job/{id}`\n- **DB Operations:** Tag removal operations\n- **Batching:** No explicit batching\n\n#### **Delete Job Endpoints** (`job.go:852, 897, 950`)\n- **Paths:** \n  - `DELETE /api/jobs/delete_job/{id}`\n  - `DELETE /api/jobs/delete_job/`\n  - `DELETE /api/jobs/delete_job_before/{ts}`\n- **DB Operations:** `jobRepo.Delete*()` functions\n- **Details:** Remove jobs from database\n\n#### **Edit Meta Endpoint** (`job.go`)\n- **Path:** `PATCH /api/jobs/edit_meta/{id}`\n- **DB Operations:** Updates job metadata\n- **Details:** User-facing metadata updates\n\n---\n\n### **NATS API SUBSCRIPTIONS** (Alternative to REST)\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go`\n\n**Initialization:** `server.go:282-287` - conditionally started if `config.Keys.APISubjects` configured\n\n#### **Job Event Subscription** (`nats.go:146`)\n- **Subject:** `config.Keys.APISubjects.SubjectJobEvent` (e.g., \"cc.job.event\")\n- **Message Format:** InfluxDB line protocol with JSON payload\n- **Operations:** Same as REST endpoints (start_job, stop_job)\n- **Concurrency Control:** Uses semaphore (`jobSem` buffer of 8) to limit concurrent processing\n- **Details:** Asynchronous job processing via NATS messages\n\n#### **Node State Subscription** (`nats.go`)\n- **Subject:** `config.Keys.APISubjects.SubjectNodeState` (e.g., \"cc.node.state\")\n- **Operations:** Same as REST node state updates\n- **Concurrency Control:** Uses semaphore (`nodeSem` buffer of 2)\n\n---\n\n### **INITIALIZATION AND SHUTDOWN FLOW**\n\n**Main Startup Sequence:** (`main.go` lines 343-374)\n1. `metricstore.Init()` - starts 5 background workers\n2. `archiver.Start()` - starts archiving worker goroutine\n3. `taskmanager.Start()` - starts gocron scheduler with 11 periodic tasks\n\n**Graceful Shutdown Sequence:** (`server.go:418-441`)\n1. Server shutdown (30s timeout)\n2. NATS client close\n3. `metricstore.Shutdown()` - cancels metric worker contexts\n4. `archiver.Shutdown(10s)` - waits for pending archiving jobs with timeout\n5. `taskmanager.Shutdown()` - stops gocron scheduler\n\n---\n\n### **TRANSACTION/BATCHING SUMMARY**\n\n| Component | Uses Transactions | Batching Strategy |\n|-----------|-------------------|-------------------|\n| Footprint Worker | YES (per-cluster) | Builds update statements, executes in transaction |\n| Node State Updates | YES (per-subcluster) | `InsertNodeStateBegin/End` wrapper |\n| Job Start | NO | Individual insert (has mutex for duplicate prevention) |\n| Job Stop | NO | Async archiving triggered separately |\n| Retention Delete | Implicit | `DeleteJobsBefore()` handles batching |\n| Stop Jobs Exceed | Implicit | `StopJobsExceedingWalltimeBy()` batches |\n| Archiver | NO | Single UPDATE statement with multiple SET clauses |\n| LDAP Sync | Dependent | Implementation in auth package |\n| Node State Retention | Implicit | `DeleteNodeStatesBefore()` batches |\n\n---\n\n### **FILE LOCATIONS SUMMARY**\n\n**Critical Files:**\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/` - 11 periodic task definitions\n- `/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go` - 5 background workers\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go` - async archiving\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/rest.go` - REST route registration\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go` - NATS subscriptions\n- `/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go` - initialization sequence\n- `/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/server.go` - shutdown sequence"},{"type":"text","text":"agentId: a5a9b60b3b5a2afcf (for resuming to continue this agent's work if needed)\n<usage>total_tokens: 74431\ntool_uses: 31\nduration_ms: 85216</usage>"}]}]},"uuid":"7db18647-1759-41ac-94c1-d055b54e49db","timestamp":"2026-03-16T10:20:09.320Z","toolUseResult":{"status":"completed","prompt":"Explore the cc-backend codebase to find all periodic/scheduled tasks and background goroutines that write to the SQLite database. Look for:\n\n1. Goroutines started with `go func()` that do DB writes\n2. Ticker/timer-based loops that write to the DB\n3. Archiving operations that write to the DB\n4. Retention/cleanup operations\n5. Any cron-like scheduled operations\n\nSearch in:\n- cmd/cc-backend/ (main entry point, initialization)\n- internal/archiver/\n- internal/taskmanager/ or similar\n- internal/repository/\n- Any file with \"schedule\", \"ticker\", \"cron\", \"periodic\", \"retention\", \"cleanup\" patterns\n\nFor each, note the frequency, what DB operations it performs, and whether those operations are already batched/transacted.\n\nAlso look at the REST API file internal/api/rest.go to understand all registered routes and which ones do DB writes.","agentId":"a5a9b60b3b5a2afcf","content":[{"type":"text","text":"Perfect! Now I have gathered comprehensive information. Let me create a detailed summary of all the findings.\n\n## Summary Report: Periodic/Scheduled Tasks and Background Goroutines in cc-backend\n\nI've completed a comprehensive exploration of the cc-backend codebase to identify all periodic/scheduled tasks and background goroutines that write to SQLite. Here's the complete findings:\n\n---\n\n### **TASK MANAGER (gocron-based scheduler)**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/`\n\nThe main scheduler is initialized in `main.go` line 374:\n```go\ntaskmanager.Start(ccconf.GetPackageConfig(\"cron\"), ccconf.GetPackageConfig(\"archive\"))\n```\n\n#### **1. Commit Job Service (commitJobService.go)**\n- **Frequency:** Default 2 minutes (configurable via `commit-job-worker`)\n- **DB Operation:** `jobRepo.SyncJobs()` + callback hooks\n- **Type:** Duration-based job (gocron.DurationJob)\n- **Batching:** Handled via SyncJobs() call\n- **Details:** Syncs job cache and triggers job start hooks\n\n#### **2. Update Duration Worker (updateDurationService.go)**\n- **Frequency:** Default 5 minutes (configurable via `duration-worker`)\n- **DB Operation:** `jobRepo.UpdateDuration()`\n- **Type:** Duration-based job\n- **Batching:** Single call, likely batches updates internally\n- **Details:** Updates job duration fields in DB\n\n#### **3. Footprint Update Worker (updateFootprintService.go)**\n- **Frequency:** Default 10 minutes (configurable via `footprint-worker`)\n- **DB Operation:** Multiple per-cluster database updates using transactions\n  - Uses `jobRepo.TransactionInit()`, `jobRepo.TransactionAdd()`, `jobRepo.TransactionEnd()`\n  - Updates job statistics (avg/min/max) for running jobs\n- **Batching:** Proper transaction batching per cluster\n- **Details:** \n  - Iterates through all clusters and running jobs\n  - Loads metrics from metric stores\n  - Builds UPDATE statements and batches them per cluster\n  - Uses transactions to apply all updates atomically\n\n#### **4. Stop Jobs Exceeding Walltime (stopJobsExceedTime.go)**\n- **Frequency:** Daily at 3:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.StopJobsExceedingWalltimeBy(duration)` + GC\n- **Type:** Daily job (gocron.DailyJob)\n- **Batching:** Handled internally by repository function\n- **Conditional:** Only runs if `config.Keys.StopJobsExceedingWalltime > 0`\n\n#### **5. Retention Delete Service (retentionService.go)**\n- **Frequency:** Daily at 3:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.FindJobsBetween()` + `jobRepo.DeleteJobsBefore()` + `jobRepo.Optimize()`\n- **Type:** Daily job\n- **Batching:** Deletes are batched via `DeleteJobsBefore()`\n- **Conditional:** Only if retention policy = \"delete\"\n- **Details:** Deletes archived jobs older than configured age\n\n#### **6. Retention Copy Service (retentionService.go)**\n- **Frequency:** Daily at 4:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.FindJobsBetween()` (no DB writes, only archive operations)\n- **Type:** Daily job\n- **Conditional:** Only if retention policy = \"copy\"\n- **Details:** Copies jobs to secondary backend without DB deletions\n\n#### **7. Retention Move Service (retentionService.go)**\n- **Frequency:** Daily at 5:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.FindJobsBetween()` + `jobRepo.DeleteJobsBefore()` + `jobRepo.Optimize()`\n- **Type:** Daily job\n- **Batching:** Deletes are batched\n- **Conditional:** Only if retention policy = \"move\"\n- **Details:** Moves jobs to secondary backend then deletes from DB\n\n#### **8. Compression Service (compressionService.go)**\n- **Frequency:** Daily at 5:00 AM (hardcoded, conflicts with move service)\n- **DB Operation:** `jobRepo.FindJobsBetween()` (no DB writes, only archive compression)\n- **Type:** Daily job\n- **Details:** Compresses old archived jobs\n- **Always enabled:** Even without explicit retention config\n\n#### **9. LDAP Sync Service (ldapSyncService.go)**\n- **Frequency:** Configurable via `LdapConfig.SyncInterval`\n- **DB Operation:** `auth.LdapAuth.Sync()` (user table updates, not job-related)\n- **Type:** Duration-based job\n- **Conditional:** Only if LDAP is configured\n\n#### **10. Node State Retention Delete Service (nodestateRetentionService.go)**\n- **Frequency:** Daily at 2:00 AM (hardcoded)\n- **DB Operation:** `nodeRepo.DeleteNodeStatesBefore(cutoff)`\n- **Type:** Daily job\n- **Conditional:** Only if `config.Keys.NodeStateRetention.Policy == \"delete\"`\n- **Details:** Deletes node state records older than configured age (default 24 hours)\n\n#### **11. Node State Retention Move Service (nodestateRetentionService.go)**\n- **Frequency:** Daily at 2:30 AM (hardcoded)\n- **DB Operation:** `nodeRepo.FindNodeStatesBefore()` + `nodeRepo.DeleteNodeStatesBefore()`\n- **Type:** Daily job\n- **Conditional:** Only if `config.Keys.NodeStateRetention.Policy == \"move\"`\n- **Details:** Archives node states to Parquet then deletes from DB\n\n---\n\n### **METRIC STORE BACKGROUND WORKERS**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/`\n\nInitialized in `main.go` line 343:\n```go\nmetricstore.Init(mscfg, metrics, &wg)\n```\n\nThese goroutines run concurrently and handle metric data persistence. **Note: These do NOT directly write to the SQLite job/node database, but they handle metric checkpoint persistence to disk.**\n\n#### **1. Checkpointing Worker (checkpoint.go:94)**\n- **Frequency:** 12 hours (default, configurable via `checkpoint-interval`)\n- **Operation:** Periodic metric data checkpoints to JSON or binary WAL format\n- **Type:** Duration-based ticker\n- **Details:**\n  - Saves in-memory metric buffers to disk\n  - Two formats: JSON (human-readable) or WAL+binary (crash-safe)\n  - Uses worker pool with `Keys.NumWorkers` (default: min(CPU/2+1, 10))\n  - Rotates WAL files after successful checkpoint\n\n#### **2. WAL Staging Worker (walCheckpoint.go:118)**\n- **Frequency:** Continuous (processes messages from channel)\n- **Operation:** Writes individual metric entries to write-ahead logs\n- **Type:** Channel-based message processor\n- **Details:**\n  - Processes `WALMessages` channel (from line protocol ingestion)\n  - Writes binary WAL records to per-host WAL files\n  - Manages file handles for efficient buffering\n  - Handles WAL rotation on command\n\n#### **3. Retention Worker (metricstore.go:320)**\n- **Frequency:** Half of `Keys.RetentionInMemory` interval\n- **Operation:** Frees in-memory metric buffers older than retention period\n- **Type:** Duration-based ticker\n- **Details:**\n  - Calls `Free(ms, t)` to remove old data from memory\n  - Cleans buffer pool with `bufferPool.Clean()`\n  - Does NOT write to SQLite, only memory management\n\n#### **4. Cleanup Worker (archive.go:23)**\n- **Frequency:** `Keys.RetentionInMemory` interval\n- **Operation:** Either archives or deletes old checkpoint files\n- **Type:** Duration-based ticker\n- **Modes:** \n  - \"archive\": Moves old checkpoint files to Parquet format\n  - \"delete\": Deletes old checkpoint files\n- **Details:**\n  - Uses worker pool for parallel processing\n  - Supports both local filesystem and S3 targets\n  - Runs daily cleanup job\n\n#### **5. Memory Usage Tracker (metricstore.go:383)**\n- **Frequency:** `DefaultMemoryUsageTrackerInterval` (appears to be 5-10 min based on code)\n- **Operation:** Monitors memory usage, force-frees buffers if exceeding cap\n- **Type:** Duration-based ticker\n- **Details:**\n  - Checks `runtime.MemStats.Alloc`\n  - Force-frees buffers if memory cap exceeded\n  - Calls `debug.FreeOSMemory()` to return memory to OS\n  - Does NOT write to SQLite\n\n---\n\n### **ARCHIVER BACKGROUND WORKER**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go`\n\n**Initialization:** `main.go` line 373:\n```go\narchiver.Start(repository.GetJobRepository(), ctx)\n```\n\n#### **Archiving Worker (archiveWorker.go:110)**\n- **Frequency:** On-demand (triggered by `TriggerArchiving()` calls)\n- **DB Operations:**\n  - `jobRepo.FetchMetadata(job)` - read\n  - `ArchiveJob(job, ctx)` - archive to external storage\n  - `jobRepo.UpdateFootprint(stmt, jobMeta)` - **writes**\n  - `jobRepo.UpdateEnergy(stmt, jobMeta)` - **writes**\n  - `jobRepo.MarkArchived(stmt, status)` - **writes**\n  - `jobRepo.Execute(stmt)` - executes composite update\n- **Type:** Channel-based consumer (buffered channel, capacity 128)\n- **Batching:** Single UPDATE statement with multiple SET clauses\n- **Trigger Points:**\n  - Called when job stops (via REST API `/api/jobs/stop_job/`)\n  - Called when job stops via NATS API\n- **Details:**\n  - Processes archiving asynchronously\n  - Uses `sync.WaitGroup` for graceful shutdown\n  - Updates job statistics (footprint, energy, monitoring status) atomically\n  - Calls job stop hooks after successful archiving\n\n---\n\n### **REST API ENDPOINTS THAT WRITE TO DATABASE**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/`\n\n#### **Job Start Endpoint** (`job.go:717`)\n- **Path:** `POST/PUT /api/jobs/start_job/`\n- **DB Operations:**\n  - `jobRepo.FindAll()` - check for duplicates (read)\n  - `jobRepo.StartDirect()` or `jobRepo.Start()` - **inserts new job**\n  - `jobRepo.AddTagOrCreate()` - **adds tags** (if provided)\n- **Concurrency:** Uses `RepositoryMutex` to prevent race conditions on duplicate checks\n- **Batching:** Individual calls, not explicitly batched\n- **Async:** Tag addition is async (after response)\n\n#### **Job Stop Endpoint** (`job.go:805`)\n- **Path:** `POST/PUT /api/jobs/stop_job/`\n- **DB Operations:**\n  - `jobRepo.FindCached()` or `jobRepo.Find()` - read\n  - `checkAndHandleStopJob()` - updates job state (line 1000+)\n  - Triggers `archiver.TriggerArchiving()` - queues async archiving\n- **Details:** Moves job to stopped state, triggers async archiving\n\n#### **Update Node States Endpoint** (`node.go:71`)\n- **Path:** `POST/PUT /api/nodestate/`\n- **DB Operations:**\n  - `nodeRepo.InsertNodeStateBegin()` - **starts transaction**\n  - `nodeRepo.InsertNodeState()` - **inserts node states** (batched per subcluster)\n  - `nodeRepo.InsertNodeStateEnd()` - **commits transaction**\n- **Batching:** Per-subcluster transactions\n- **Details:** Updates node allocation/state information\n\n#### **Tag Job Endpoint** (`job.go:545`)\n- **Path:** `POST/PATCH /api/jobs/tag_job/{id}`\n- **DB Operations:** `jobRepo.AddTagOrCreate()` - **inserts/creates tags**\n- **Batching:** No explicit batching\n\n#### **Remove Tag Endpoint** (`job.go:609`)\n- **Path:** `DELETE /api/jobs/tag_job/{id}`\n- **DB Operations:** Tag removal operations\n- **Batching:** No explicit batching\n\n#### **Delete Job Endpoints** (`job.go:852, 897, 950`)\n- **Paths:** \n  - `DELETE /api/jobs/delete_job/{id}`\n  - `DELETE /api/jobs/delete_job/`\n  - `DELETE /api/jobs/delete_job_before/{ts}`\n- **DB Operations:** `jobRepo.Delete*()` functions\n- **Details:** Remove jobs from database\n\n#### **Edit Meta Endpoint** (`job.go`)\n- **Path:** `PATCH /api/jobs/edit_meta/{id}`\n- **DB Operations:** Updates job metadata\n- **Details:** User-facing metadata updates\n\n---\n\n### **NATS API SUBSCRIPTIONS** (Alternative to REST)\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go`\n\n**Initialization:** `server.go:282-287` - conditionally started if `config.Keys.APISubjects` configured\n\n#### **Job Event Subscription** (`nats.go:146`)\n- **Subject:** `config.Keys.APISubjects.SubjectJobEvent` (e.g., \"cc.job.event\")\n- **Message Format:** InfluxDB line protocol with JSON payload\n- **Operations:** Same as REST endpoints (start_job, stop_job)\n- **Concurrency Control:** Uses semaphore (`jobSem` buffer of 8) to limit concurrent processing\n- **Details:** Asynchronous job processing via NATS messages\n\n#### **Node State Subscription** (`nats.go`)\n- **Subject:** `config.Keys.APISubjects.SubjectNodeState` (e.g., \"cc.node.state\")\n- **Operations:** Same as REST node state updates\n- **Concurrency Control:** Uses semaphore (`nodeSem` buffer of 2)\n\n---\n\n### **INITIALIZATION AND SHUTDOWN FLOW**\n\n**Main Startup Sequence:** (`main.go` lines 343-374)\n1. `metricstore.Init()` - starts 5 background workers\n2. `archiver.Start()` - starts archiving worker goroutine\n3. `taskmanager.Start()` - starts gocron scheduler with 11 periodic tasks\n\n**Graceful Shutdown Sequence:** (`server.go:418-441`)\n1. Server shutdown (30s timeout)\n2. NATS client close\n3. `metricstore.Shutdown()` - cancels metric worker contexts\n4. `archiver.Shutdown(10s)` - waits for pending archiving jobs with timeout\n5. `taskmanager.Shutdown()` - stops gocron scheduler\n\n---\n\n### **TRANSACTION/BATCHING SUMMARY**\n\n| Component | Uses Transactions | Batching Strategy |\n|-----------|-------------------|-------------------|\n| Footprint Worker | YES (per-cluster) | Builds update statements, executes in transaction |\n| Node State Updates | YES (per-subcluster) | `InsertNodeStateBegin/End` wrapper |\n| Job Start | NO | Individual insert (has mutex for duplicate prevention) |\n| Job Stop | NO | Async archiving triggered separately |\n| Retention Delete | Implicit | `DeleteJobsBefore()` handles batching |\n| Stop Jobs Exceed | Implicit | `StopJobsExceedingWalltimeBy()` batches |\n| Archiver | NO | Single UPDATE statement with multiple SET clauses |\n| LDAP Sync | Dependent | Implementation in auth package |\n| Node State Retention | Implicit | `DeleteNodeStatesBefore()` batches |\n\n---\n\n### **FILE LOCATIONS SUMMARY**\n\n**Critical Files:**\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/` - 11 periodic task definitions\n- `/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go` - 5 background workers\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go` - async archiving\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/rest.go` - REST route registration\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go` - NATS subscriptions\n- `/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go` - initialization sequence\n- `/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/server.go` - shutdown sequence"}],"totalDurationMs":85216,"totalTokens":74431,"totalToolUseCount":31,"usage":{"input_tokens":0,"cache_creation_input_tokens":2249,"cache_read_input_tokens":67937,"output_tokens":4245,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":2249},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"f0935097-6b79-44e4-81d4-4ce525f0f4f3","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"31a6461a-2879-4aad-914b-acdc223c3944","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01UciAyMdYFRwbswUMPwitfW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NPCSF89CyztSbhAD6AQGZK","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":14662,"cache_read_input_tokens":79778,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":14662},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6bCoSb5mSW7BQj8rUfE","type":"assistant","uuid":"f7a0639e-a4dc-4206-a497-ea38bbed526d","timestamp":"2026-03-16T10:20:15.643Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"f7a0639e-a4dc-4206-a497-ea38bbed526d","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01NPCSF89CyztSbhAD6AQGZK","toolUseID":"toolu_01NPCSF89CyztSbhAD6AQGZK","timestamp":"2026-03-16T10:20:15.650Z","uuid":"b483e11b-ea24-4887-9f59-9b70bc1863e6","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"f7a0639e-a4dc-4206-a497-ea38bbed526d","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NPCSF89CyztSbhAD6AQGZK","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package repository provides data access and persistence layer for ClusterCockpit.\n     7→//\n     8→// This file implements tag management functionality for job categorization and classification.\n     9→// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n    10→// (via tagger plugins). The implementation includes role-based access control through\n    11→// tag scopes and maintains bidirectional consistency between the SQL database and\n    12→// the file-based job archive.\n    13→//\n    14→// Database Schema:\n    15→//\n    16→//\tCREATE TABLE tag (\n    17→//\t    id INTEGER PRIMARY KEY AUTOINCREMENT,\n    18→//\t    tag_type VARCHAR(255) NOT NULL,\n    19→//\t    tag_name VARCHAR(255) NOT NULL,\n    20→//\t    tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n    21→//\t    CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n    22→//\t);\n    23→//\n    24→//\tCREATE TABLE jobtag (\n    25→//\t    job_id INTEGER,\n    26→//\t    tag_id INTEGER,\n    27→//\t    PRIMARY KEY (job_id, tag_id),\n    28→//\t    FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n    29→//\t    FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n    30→//\t);\n    31→//\n    32→// The jobtag junction table enables many-to-many relationships between jobs and tags.\n    33→// CASCADE deletion ensures referential integrity when jobs or tags are removed.\n    34→package repository\n    35→\n    36→import (\n    37→\t\"errors\"\n    38→\t\"fmt\"\n    39→\t\"strings\"\n    40→\n    41→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    42→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    43→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    44→\tsq \"github.com/Masterminds/squirrel\"\n    45→)\n    46→\n    47→// Tag Scope Rules:\n    48→//\n    49→// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n    50→//\n    51→//  1. \"global\" - Visible to all users, can be used by anyone\n    52→//     Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n    53→//\n    54→//  2. \"private\" - Only visible to the creating user\n    55→//     Example: Personal notes like \"needs-review\", \"interesting-case\"\n    56→//\n    57→//  3. \"admin\" - Only visible to users with admin or support roles\n    58→//     Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n    59→//\n    60→// Authorization Rules:\n    61→//   - Regular users can only create/see \"global\" and their own \"private\" tags\n    62→//   - Admin/Support can create/see all scopes including \"admin\" tags\n    63→//   - Users can only add tags to jobs they have permission to view\n    64→//   - Tag scope is enforced at query time in GetTags() and CountTags()\n    65→\n    66→// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n    67→// Requires user authentication for security checks.\n    68→//\n    69→// The user must have permission to view the job. Tag visibility is determined by scope:\n    70→//   - \"global\" tags: visible to all users\n    71→//   - \"private\" tags: only visible to the tag creator\n    72→//   - \"admin\" tags: only visible to admin/support users\n    73→func (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n    74→\tj, err := r.FindByIDWithUser(user, job)\n    75→\tif err != nil {\n    76→\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n    77→\t\treturn nil, err\n    78→\t}\n    79→\n    80→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n    81→\t\treturn r.GetTags(user, &job)\n    82→\t})\n    83→}\n    84→\n    85→// AddTagDirect adds a tag without user security checks.\n    86→// Use only for internal/admin operations.\n    87→func (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n    88→\tj, err := r.FindByIDDirect(job)\n    89→\tif err != nil {\n    90→\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n    91→\t\treturn nil, err\n    92→\t}\n    93→\n    94→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n    95→\t\treturn r.GetTagsDirect(&job)\n    96→\t})\n    97→}\n    98→\n    99→// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n   100→// Requires user authentication for security checks. Used by GraphQL API.\n   101→func (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n   102→\tj, err := r.FindByIDWithUser(user, job)\n   103→\tif err != nil {\n   104→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n   105→\t\treturn nil, err\n   106→\t}\n   107→\n   108→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n   109→\n   110→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   111→\t\ts, _, _ := q.ToSql()\n   112→\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n   113→\t\treturn nil, err\n   114→\t}\n   115→\n   116→\ttags, err := r.GetTags(user, &job)\n   117→\tif err != nil {\n   118→\t\tcclog.Warn(\"Error while getting tags for job\")\n   119→\t\treturn nil, err\n   120→\t}\n   121→\n   122→\tarchiveTags, err := r.getArchiveTags(&job)\n   123→\tif err != nil {\n   124→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n   125→\t\treturn nil, err\n   126→\t}\n   127→\n   128→\treturn tags, archive.UpdateTags(j, archiveTags)\n   129→}\n   130→\n   131→// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n   132→// Requires user authentication for security checks. Used by REST API.\n   133→func (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n   134→\t// Get Tag ID to delete\n   135→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   136→\tif !exists {\n   137→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   138→\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   139→\t}\n   140→\n   141→\t// Get Job\n   142→\tj, err := r.FindByIDWithUser(user, job)\n   143→\tif err != nil {\n   144→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n   145→\t\treturn nil, err\n   146→\t}\n   147→\n   148→\t// Handle Delete\n   149→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n   150→\n   151→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   152→\t\ts, _, _ := q.ToSql()\n   153→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n   154→\t\treturn nil, err\n   155→\t}\n   156→\n   157→\ttags, err := r.GetTags(user, &job)\n   158→\tif err != nil {\n   159→\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n   160→\t\treturn nil, err\n   161→\t}\n   162→\n   163→\tarchiveTags, err := r.getArchiveTags(&job)\n   164→\tif err != nil {\n   165→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n   166→\t\treturn nil, err\n   167→\t}\n   168→\n   169→\treturn tags, archive.UpdateTags(j, archiveTags)\n   170→}\n   171→\n   172→// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n   173→//\n   174→// This function is called asynchronously (via goroutine) after removing a tag from the database\n   175→// to synchronize the file-based job archive with the database state. Errors are logged but not\n   176→// returned since this runs in the background.\n   177→//\n   178→// Parameters:\n   179→//   - jobIds: Database IDs of all jobs that had the deleted tag\n   180→//\n   181→// Implementation note: Each job is processed individually to handle partial failures gracefully.\n   182→// If one job fails to update, others will still be processed.\n   183→func (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n   184→\tfor _, j := range jobIds {\n   185→\t\ttags, err := r.getArchiveTags(&j)\n   186→\t\tif err != nil {\n   187→\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n   188→\t\t\tcontinue\n   189→\t\t}\n   190→\n   191→\t\tjob, err := r.FindByIDDirect(j)\n   192→\t\tif err != nil {\n   193→\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n   194→\t\t\tcontinue\n   195→\t\t}\n   196→\n   197→\t\tarchive.UpdateTags(job, tags)\n   198→\t}\n   199→}\n   200→\n   201→// Removes a tag from db by tag info\n   202→// Used by REST API. Does not update tagged jobs in Job archive.\n   203→func (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n   204→\t// Get Tag ID to delete\n   205→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   206→\tif !exists {\n   207→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   208→\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n   209→\t}\n   210→\n   211→\treturn r.RemoveTagByID(tagID)\n   212→}\n   213→\n   214→// Removes a tag from db by tag id\n   215→// Used by GraphQL API.\n   216→func (r *JobRepository) RemoveTagByID(tagID int64) error {\n   217→\tjobIds, err := r.FindJobIdsByTag(tagID)\n   218→\tif err != nil {\n   219→\t\treturn err\n   220→\t}\n   221→\n   222→\t// Handle Delete JobTagTable\n   223→\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n   224→\n   225→\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n   226→\t\ts, _, _ := qJobTag.ToSql()\n   227→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n   228→\t\treturn err\n   229→\t}\n   230→\n   231→\t// Handle Delete TagTable\n   232→\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n   233→\n   234→\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n   235→\t\ts, _, _ := qTag.ToSql()\n   236→\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n   237→\t\treturn err\n   238→\t}\n   239→\n   240→\t// asynchronously update archive jobs\n   241→\tgo r.removeTagFromArchiveJobs(jobIds)\n   242→\n   243→\treturn nil\n   244→}\n   245→\n   246→// CreateTag creates a new tag with the specified type, name, and scope.\n   247→// Returns the database ID of the newly created tag.\n   248→//\n   249→// Scope defaults to \"global\" if empty string is provided.\n   250→// Valid scopes: \"global\", \"private\", \"admin\"\n   251→//\n   252→// Example:\n   253→//\n   254→//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\n   255→func (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n   256→\t// Default to \"Global\" scope if none defined\n   257→\tif tagScope == \"\" {\n   258→\t\ttagScope = \"global\"\n   259→\t}\n   260→\n   261→\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n   262→\n   263→\tres, err := q.RunWith(r.stmtCache).Exec()\n   264→\tif err != nil {\n   265→\t\ts, _, _ := q.ToSql()\n   266→\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n   267→\t\treturn 0, err\n   268→\t}\n   269→\n   270→\treturn res.LastInsertId()\n   271→}\n   272→\n   273→// CountTags returns all tags visible to the user and the count of jobs for each tag.\n   274→// Applies scope-based filtering to respect tag visibility rules.\n   275→//\n   276→// Returns:\n   277→//   - tags: slice of tags the user can see\n   278→//   - counts: map of tag name to job count\n   279→//   - err: any error encountered\n   280→func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n   281→\ttags = make([]schema.Tag, 0, 100)\n   282→\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n   283→\tif err != nil {\n   284→\t\treturn nil, nil, err\n   285→\t}\n   286→\tdefer xrows.Close()\n   287→\n   288→\tfor xrows.Next() {\n   289→\t\tvar t schema.Tag\n   290→\t\tif err = xrows.StructScan(&t); err != nil {\n   291→\t\t\treturn nil, nil, err\n   292→\t\t}\n   293→\n   294→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n   295→\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n   296→\t\tif err != nil {\n   297→\t\t\treturn nil, nil, err\n   298→\t\t}\n   299→\t\tif readable {\n   300→\t\t\ttags = append(tags, t)\n   301→\t\t}\n   302→\t}\n   303→\n   304→\tif err := xrows.Err(); err != nil {\n   305→\t\treturn nil, nil, err\n   306→\t}\n   307→\n   308→\t// Query and Count Jobs with attached Tags\n   309→\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n   310→\t\tFrom(\"tag t\").\n   311→\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n   312→\t\tGroupBy(\"t.tag_type, t.tag_name\")\n   313→\n   314→\t// Build scope list for filtering\n   315→\tvar scopeBuilder strings.Builder\n   316→\tscopeBuilder.WriteString(`\"global\"`)\n   317→\tif user != nil {\n   318→\t\tscopeBuilder.WriteString(`,\"`)\n   319→\t\tscopeBuilder.WriteString(user.Username)\n   320→\t\tscopeBuilder.WriteString(`\"`)\n   321→\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n   322→\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n   323→\t\t}\n   324→\t}\n   325→\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n   326→\n   327→\t// Handle Job Ownership\n   328→\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n   329→\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n   330→\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n   331→\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n   332→\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n   333→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n   334→\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n   335→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n   336→\t}\n   337→\n   338→\trows, err := q.RunWith(r.stmtCache).Query()\n   339→\tif err != nil {\n   340→\t\treturn nil, nil, err\n   341→\t}\n   342→\tdefer rows.Close()\n   343→\n   344→\tcounts = make(map[string]int)\n   345→\tfor rows.Next() {\n   346→\t\tvar tagType string\n   347→\t\tvar tagName string\n   348→\t\tvar tagID int\n   349→\t\tvar count int\n   350→\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n   351→\t\t\treturn nil, nil, err\n   352→\t\t}\n   353→\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n   354→\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n   355→\t}\n   356→\terr = rows.Err()\n   357→\n   358→\treturn tags, counts, err\n   359→}\n   360→\n   361→var (\n   362→\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n   363→\tErrTagNotFound = errors.New(\"the tag does not exist\")\n   364→\n   365→\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n   366→\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n   367→\n   368→\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n   369→\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n   370→\n   371→\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n   372→\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n   373→\n   374→\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n   375→\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n   376→\n   377→\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n   378→\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n   379→)\n   380→\n   381→// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n   382→//\n   383→// This function performs three operations atomically:\n   384→//  1. Inserts the job-tag association into the jobtag junction table\n   385→//  2. Retrieves the updated tag list for the job (using the provided getTags callback)\n   386→//  3. Updates the job archive with the new tags to maintain database-archive consistency\n   387→//\n   388→// Parameters:\n   389→//   - jobId: Database ID of the job\n   390→//   - tagId: Database ID of the tag to associate\n   391→//   - job: Full job object needed for archive update\n   392→//   - getTags: Callback function to retrieve updated tags (allows different security contexts)\n   393→//\n   394→// Returns the complete updated tag list for the job or an error.\n   395→//\n   396→// Note: This function does NOT validate tag scope permissions - callers must perform\n   397→// authorization checks before invoking this helper.\n   398→func (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n   399→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n   400→\n   401→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   402→\t\ts, _, _ := q.ToSql()\n   403→\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n   404→\t\treturn nil, err\n   405→\t}\n   406→\n   407→\ttags, err := getTags()\n   408→\tif err != nil {\n   409→\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n   410→\t\treturn nil, err\n   411→\t}\n   412→\n   413→\tarchiveTags, err := r.getArchiveTags(&jobID)\n   414→\tif err != nil {\n   415→\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n   416→\t\treturn nil, err\n   417→\t}\n   418→\n   419→\treturn tags, archive.UpdateTags(job, archiveTags)\n   420→}\n   421→\n   422→// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n   423→// If such a tag does not yet exist, it is created.\n   424→func (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n   425→\t// Default to \"Global\" scope if none defined\n   426→\tif tagScope == \"\" {\n   427→\t\ttagScope = \"global\"\n   428→\t}\n   429→\n   430→\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n   431→\tif err != nil {\n   432→\t\treturn 0, err\n   433→\t}\n   434→\tif !writable {\n   435→\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n   436→\t}\n   437→\n   438→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   439→\tif !exists {\n   440→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n   441→\t\tif err != nil {\n   442→\t\t\treturn 0, err\n   443→\t\t}\n   444→\t}\n   445→\n   446→\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n   447→\t\treturn 0, err\n   448→\t}\n   449→\n   450→\treturn tagID, nil\n   451→}\n   452→\n   453→func (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n   454→\ttagScope := \"global\"\n   455→\n   456→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   457→\tif !exists {\n   458→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n   459→\t\tif err != nil {\n   460→\t\t\treturn 0, err\n   461→\t\t}\n   462→\t}\n   463→\n   464→\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n   465→\n   466→\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n   467→\t\treturn 0, err\n   468→\t}\n   469→\n   470→\treturn tagID, nil\n   471→}\n   472→\n   473→func (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n   474→\tvar id int64\n   475→\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n   476→\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n   477→\t\tWhere(\"tag.tag_name = ?\", tagName)\n   478→\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n   479→\tif err != nil {\n   480→\t\treturn false\n   481→\t} else {\n   482→\t\treturn true\n   483→\t}\n   484→}\n   485→\n   486→// TagID returns the database id of the tag with the specified type and name.\n   487→func (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n   488→\texists = true\n   489→\tif err := sq.Select(\"id\").From(\"tag\").\n   490→\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n   491→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n   492→\t\texists = false\n   493→\t}\n   494→\treturn\n   495→}\n   496→\n   497→// TagInfo returns the database infos of the tag with the specified id.\n   498→func (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n   499→\texists = true\n   500→\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n   501→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n   502→\t\texists = false\n   503→\t}\n   504→\treturn\n   505→}\n   506→\n   507→// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\n   508→func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n   509→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n   510→\tif job != nil {\n   511→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n   512→\t}\n   513→\n   514→\trows, err := q.RunWith(r.stmtCache).Query()\n   515→\tif err != nil {\n   516→\t\ts, _, _ := q.ToSql()\n   517→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n   518→\t\treturn nil, err\n   519→\t}\n   520→\tdefer rows.Close()\n   521→\n   522→\ttags := make([]*schema.Tag, 0)\n   523→\tfor rows.Next() {\n   524→\t\ttag := &schema.Tag{}\n   525→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n   526→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n   527→\t\t\treturn nil, err\n   528→\t\t}\n   529→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n   530→\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n   531→\t\tif err != nil {\n   532→\t\t\treturn nil, err\n   533→\t\t}\n   534→\t\tif readable {\n   535→\t\t\ttags = append(tags, tag)\n   536→\t\t}\n   537→\t}\n   538→\n   539→\tif err := rows.Err(); err != nil {\n   540→\t\treturn nil, err\n   541→\t}\n   542→\n   543→\treturn tags, nil\n   544→}\n   545→\n   546→func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n   547→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n   548→\tif job != nil {\n   549→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n   550→\t}\n   551→\n   552→\trows, err := q.RunWith(r.stmtCache).Query()\n   553→\tif err != nil {\n   554→\t\ts, _, _ := q.ToSql()\n   555→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n   556→\t\treturn nil, err\n   557→\t}\n   558→\tdefer rows.Close()\n   559→\n   560→\ttags := make([]*schema.Tag, 0)\n   561→\tfor rows.Next() {\n   562→\t\ttag := &schema.Tag{}\n   563→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n   564→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n   565→\t\t\treturn nil, err\n   566→\t\t}\n   567→\t\ttags = append(tags, tag)\n   568→\t}\n   569→\n   570→\tif err := rows.Err(); err != nil {\n   571→\t\treturn nil, err\n   572→\t}\n   573→\n   574→\treturn tags, nil\n   575→}\n   576→\n   577→// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n   578→//\n   579→// This internal function is used exclusively for job archive synchronization where we need\n   580→// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n   581→// filters by scope, this returns the complete unfiltered tag list.\n   582→//\n   583→// Parameters:\n   584→//   - job: Pointer to job database ID, or nil to return all tags in the system\n   585→//\n   586→// Returns all tags without scope filtering, used only for archive operations.\n   587→//\n   588→// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\n   589→func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n   590→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n   591→\tif job != nil {\n   592→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n   593→\t}\n   594→\n   595→\trows, err := q.RunWith(r.stmtCache).Query()\n   596→\tif err != nil {\n   597→\t\ts, _, _ := q.ToSql()\n   598→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n   599→\t\treturn nil, err\n   600→\t}\n   601→\tdefer rows.Close()\n   602→\n   603→\ttags := make([]*schema.Tag, 0)\n   604→\tfor rows.Next() {\n   605→\t\ttag := &schema.Tag{}\n   606→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n   607→\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n   608→\t\t\treturn nil, err\n   609→\t\t}\n   610→\t\ttags = append(tags, tag)\n   611→\t}\n   612→\n   613→\tif err := rows.Err(); err != nil {\n   614→\t\treturn nil, err\n   615→\t}\n   616→\n   617→\treturn tags, nil\n   618→}\n   619→\n   620→func (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n   621→\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n   622→\n   623→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n   624→\tif !exists {\n   625→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n   626→\t\tif err != nil {\n   627→\t\t\treturn err\n   628→\t\t}\n   629→\t}\n   630→\n   631→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n   632→\n   633→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n   634→\t\ts, _, _ := q.ToSql()\n   635→\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n   636→\t\treturn err\n   637→\t}\n   638→\n   639→\treturn nil\n   640→}\n   641→\n   642→// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n   643→//\n   644→// This function implements the tag scope authorization matrix:\n   645→//\n   646→//\tScope        | Read Access                      | Write Access\n   647→//\t-------------|----------------------------------|----------------------------------\n   648→//\t\"global\"     | All users                        | Admin, Support, API-only\n   649→//\t\"admin\"      | Admin, Support                   | Admin, API-only\n   650→//\t<username>   | Owner only                       | Owner only (private tags)\n   651→//\n   652→// Parameters:\n   653→//   - user: User attempting the operation (must not be nil)\n   654→//   - operation: Either \"read\" or \"write\"\n   655→//   - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n   656→//\n   657→// Returns:\n   658→//   - pass: true if authorized, false if denied\n   659→//   - err: error only if operation is invalid or user is nil\n   660→//\n   661→// Special cases:\n   662→//   - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n   663→//   - Private tags use the username as scope, granting exclusive access to that user\n   664→func (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n   665→\tif user != nil {\n   666→\t\tswitch {\n   667→\t\tcase operation == \"write\" && scope == \"admin\":\n   668→\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n   669→\t\t\t\treturn true, nil\n   670→\t\t\t}\n   671→\t\t\treturn false, nil\n   672→\t\tcase operation == \"write\" && scope == \"global\":\n   673→\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n   674→\t\t\t\treturn true, nil\n   675→\t\t\t}\n   676→\t\t\treturn false, nil\n   677→\t\tcase operation == \"write\" && scope == user.Username:\n   678→\t\t\treturn true, nil\n   679→\t\tcase operation == \"read\" && scope == \"admin\":\n   680→\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n   681→\t\tcase operation == \"read\" && scope == \"global\":\n   682→\t\t\treturn true, nil\n   683→\t\tcase operation == \"read\" && scope == user.Username:\n   684→\t\t\treturn true, nil\n   685→\t\tdefault:\n   686→\t\t\tif operation == \"read\" || operation == \"write\" {\n   687→\t\t\t\t// No acceptable scope: deny tag\n   688→\t\t\t\treturn false, nil\n   689→\t\t\t} else {\n   690→\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n   691→\t\t\t}\n   692→\t\t}\n   693→\t} else {\n   694→\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n   695→\t}\n   696→}\n   697→"}]},"uuid":"eab81478-d796-4621-b2c6-86dea55f106f","timestamp":"2026-03-16T10:20:15.650Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package repository provides data access and persistence layer for ClusterCockpit.\n//\n// This file implements tag management functionality for job categorization and classification.\n// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n// (via tagger plugins). The implementation includes role-based access control through\n// tag scopes and maintains bidirectional consistency between the SQL database and\n// the file-based job archive.\n//\n// Database Schema:\n//\n//\tCREATE TABLE tag (\n//\t    id INTEGER PRIMARY KEY AUTOINCREMENT,\n//\t    tag_type VARCHAR(255) NOT NULL,\n//\t    tag_name VARCHAR(255) NOT NULL,\n//\t    tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n//\t    CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n//\t);\n//\n//\tCREATE TABLE jobtag (\n//\t    job_id INTEGER,\n//\t    tag_id INTEGER,\n//\t    PRIMARY KEY (job_id, tag_id),\n//\t    FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n//\t    FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n//\t);\n//\n// The jobtag junction table enables many-to-many relationships between jobs and tags.\n// CASCADE deletion ensures referential integrity when jobs or tags are removed.\npackage repository\n\nimport (\n\t\"errors\"\n\t\"fmt\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// Tag Scope Rules:\n//\n// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n//\n//  1. \"global\" - Visible to all users, can be used by anyone\n//     Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n//\n//  2. \"private\" - Only visible to the creating user\n//     Example: Personal notes like \"needs-review\", \"interesting-case\"\n//\n//  3. \"admin\" - Only visible to users with admin or support roles\n//     Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n//\n// Authorization Rules:\n//   - Regular users can only create/see \"global\" and their own \"private\" tags\n//   - Admin/Support can create/see all scopes including \"admin\" tags\n//   - Users can only add tags to jobs they have permission to view\n//   - Tag scope is enforced at query time in GetTags() and CountTags()\n\n// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n// Requires user authentication for security checks.\n//\n// The user must have permission to view the job. Tag visibility is determined by scope:\n//   - \"global\" tags: visible to all users\n//   - \"private\" tags: only visible to the tag creator\n//   - \"admin\" tags: only visible to admin/support users\nfunc (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n\t\treturn r.GetTags(user, &job)\n\t})\n}\n\n// AddTagDirect adds a tag without user security checks.\n// Use only for internal/admin operations.\nfunc (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDDirect(job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n\t\treturn r.GetTagsDirect(&job)\n\t})\n}\n\n// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n// Requires user authentication for security checks. Used by GraphQL API.\nfunc (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := r.GetTags(user, &job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting tags for job\")\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(j, archiveTags)\n}\n\n// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n// Requires user authentication for security checks. Used by REST API.\nfunc (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n\t// Get Tag ID to delete\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t}\n\n\t// Get Job\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\t// Handle Delete\n\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := r.GetTags(user, &job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(j, archiveTags)\n}\n\n// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n//\n// This function is called asynchronously (via goroutine) after removing a tag from the database\n// to synchronize the file-based job archive with the database state. Errors are logged but not\n// returned since this runs in the background.\n//\n// Parameters:\n//   - jobIds: Database IDs of all jobs that had the deleted tag\n//\n// Implementation note: Each job is processed individually to handle partial failures gracefully.\n// If one job fails to update, others will still be processed.\nfunc (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n\tfor _, j := range jobIds {\n\t\ttags, err := r.getArchiveTags(&j)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n\t\t\tcontinue\n\t\t}\n\n\t\tjob, err := r.FindByIDDirect(j)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n\t\t\tcontinue\n\t\t}\n\n\t\tarchive.UpdateTags(job, tags)\n\t}\n}\n\n// Removes a tag from db by tag info\n// Used by REST API. Does not update tagged jobs in Job archive.\nfunc (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n\t// Get Tag ID to delete\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t}\n\n\treturn r.RemoveTagByID(tagID)\n}\n\n// Removes a tag from db by tag id\n// Used by GraphQL API.\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n\tjobIds, err := r.FindJobIdsByTag(tagID)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\t// Handle Delete JobTagTable\n\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n\n\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := qJobTag.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\t// Handle Delete TagTable\n\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n\n\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := qTag.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\t// asynchronously update archive jobs\n\tgo r.removeTagFromArchiveJobs(jobIds)\n\n\treturn nil\n}\n\n// CreateTag creates a new tag with the specified type, name, and scope.\n// Returns the database ID of the newly created tag.\n//\n// Scope defaults to \"global\" if empty string is provided.\n// Valid scopes: \"global\", \"private\", \"admin\"\n//\n// Example:\n//\n//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\nfunc (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n\t// Default to \"Global\" scope if none defined\n\tif tagScope == \"\" {\n\t\ttagScope = \"global\"\n\t}\n\n\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n\n\tres, err := q.RunWith(r.stmtCache).Exec()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n\t\treturn 0, err\n\t}\n\n\treturn res.LastInsertId()\n}\n\n// CountTags returns all tags visible to the user and the count of jobs for each tag.\n// Applies scope-based filtering to respect tag visibility rules.\n//\n// Returns:\n//   - tags: slice of tags the user can see\n//   - counts: map of tag name to job count\n//   - err: any error encountered\nfunc (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n\ttags = make([]schema.Tag, 0, 100)\n\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\tdefer xrows.Close()\n\n\tfor xrows.Next() {\n\t\tvar t schema.Tag\n\t\tif err = xrows.StructScan(&t); err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\n\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n\t\tif err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\t\tif readable {\n\t\t\ttags = append(tags, t)\n\t\t}\n\t}\n\n\tif err := xrows.Err(); err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\t// Query and Count Jobs with attached Tags\n\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n\t\tFrom(\"tag t\").\n\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n\t\tGroupBy(\"t.tag_type, t.tag_name\")\n\n\t// Build scope list for filtering\n\tvar scopeBuilder strings.Builder\n\tscopeBuilder.WriteString(`\"global\"`)\n\tif user != nil {\n\t\tscopeBuilder.WriteString(`,\"`)\n\t\tscopeBuilder.WriteString(user.Username)\n\t\tscopeBuilder.WriteString(`\"`)\n\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n\t\t}\n\t}\n\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n\n\t// Handle Job Ownership\n\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts = make(map[string]int)\n\tfor rows.Next() {\n\t\tvar tagType string\n\t\tvar tagName string\n\t\tvar tagID int\n\t\tvar count int\n\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n\t}\n\terr = rows.Err()\n\n\treturn tags, counts, err\n}\n\nvar (\n\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n\tErrTagNotFound = errors.New(\"the tag does not exist\")\n\n\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n\n\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n\n\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n\n\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n\n\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n)\n\n// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n//\n// This function performs three operations atomically:\n//  1. Inserts the job-tag association into the jobtag junction table\n//  2. Retrieves the updated tag list for the job (using the provided getTags callback)\n//  3. Updates the job archive with the new tags to maintain database-archive consistency\n//\n// Parameters:\n//   - jobId: Database ID of the job\n//   - tagId: Database ID of the tag to associate\n//   - job: Full job object needed for archive update\n//   - getTags: Callback function to retrieve updated tags (allows different security contexts)\n//\n// Returns the complete updated tag list for the job or an error.\n//\n// Note: This function does NOT validate tag scope permissions - callers must perform\n// authorization checks before invoking this helper.\nfunc (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := getTags()\n\tif err != nil {\n\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&jobID)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(job, archiveTags)\n}\n\n// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n// If such a tag does not yet exist, it is created.\nfunc (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n\t// Default to \"Global\" scope if none defined\n\tif tagScope == \"\" {\n\t\ttagScope = \"global\"\n\t}\n\n\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\tif !writable {\n\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n\t}\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn 0, err\n\t\t}\n\t}\n\n\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n\t\treturn 0, err\n\t}\n\n\treturn tagID, nil\n}\n\nfunc (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n\ttagScope := \"global\"\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn 0, err\n\t\t}\n\t}\n\n\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n\n\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n\t\treturn 0, err\n\t}\n\n\treturn tagID, nil\n}\n\nfunc (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n\tvar id int64\n\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n\t\tWhere(\"tag.tag_name = ?\", tagName)\n\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n\tif err != nil {\n\t\treturn false\n\t} else {\n\t\treturn true\n\t}\n}\n\n// TagID returns the database id of the tag with the specified type and name.\nfunc (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n\texists = true\n\tif err := sq.Select(\"id\").From(\"tag\").\n\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n\t\texists = false\n\t}\n\treturn\n}\n\n// TagInfo returns the database infos of the tag with the specified id.\nfunc (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n\texists = true\n\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n\t\texists = false\n\t}\n\treturn\n}\n\n// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\nfunc (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tif readable {\n\t\t\ttags = append(tags, tag)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn tags, nil\n}\n\nfunc (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn tags, nil\n}\n\n// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n//\n// This internal function is used exclusively for job archive synchronization where we need\n// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n// filters by scope, this returns the complete unfiltered tag list.\n//\n// Parameters:\n//   - job: Pointer to job database ID, or nil to return all tags in the system\n//\n// Returns all tags without scope filtering, used only for archive operations.\n//\n// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\nfunc (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn tags, nil\n}\n\nfunc (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\n// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n//\n// This function implements the tag scope authorization matrix:\n//\n//\tScope        | Read Access                      | Write Access\n//\t-------------|----------------------------------|----------------------------------\n//\t\"global\"     | All users                        | Admin, Support, API-only\n//\t\"admin\"      | Admin, Support                   | Admin, API-only\n//\t<username>   | Owner only                       | Owner only (private tags)\n//\n// Parameters:\n//   - user: User attempting the operation (must not be nil)\n//   - operation: Either \"read\" or \"write\"\n//   - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n//\n// Returns:\n//   - pass: true if authorized, false if denied\n//   - err: error only if operation is invalid or user is nil\n//\n// Special cases:\n//   - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n//   - Private tags use the username as scope, granting exclusive access to that user\nfunc (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n\tif user != nil {\n\t\tswitch {\n\t\tcase operation == \"write\" && scope == \"admin\":\n\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == \"global\":\n\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == \"admin\":\n\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n\t\tcase operation == \"read\" && scope == \"global\":\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tdefault:\n\t\t\tif operation == \"read\" || operation == \"write\" {\n\t\t\t\t// No acceptable scope: deny tag\n\t\t\t\treturn false, nil\n\t\t\t} else {\n\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n\t\t\t}\n\t\t}\n\t} else {\n\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n\t}\n}\n","numLines":697,"startLine":1,"totalLines":697}},"sourceToolAssistantUUID":"f7a0639e-a4dc-4206-a497-ea38bbed526d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"5078ed1a-9d75-4bee-8ee0-4732ddef3c03","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013Zk9UuLtFGBBW9XKL24U2N","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package archiver provides asynchronous job archiving functionality for ClusterCockpit.\n     7→//\n     8→// The archiver runs a background worker goroutine that processes job archiving requests\n     9→// from a buffered channel. When jobs complete, their metric data is archived from the\n    10→// metric store to the configured archive backend (filesystem, S3, etc.).\n    11→//\n    12→// # Architecture\n    13→//\n    14→// The archiver uses a producer-consumer pattern:\n    15→//   - Producer: TriggerArchiving() sends jobs to archiveChannel\n    16→//   - Consumer: archivingWorker() processes jobs from the channel\n    17→//   - Coordination: sync.WaitGroup tracks pending archive operations\n    18→//\n    19→// # Lifecycle\n    20→//\n    21→//  1. Start(repo, ctx) - Initialize worker with context for cancellation\n    22→//  2. TriggerArchiving(job) - Queue job for archiving (called when job stops)\n    23→//  3. archivingWorker() - Background goroutine processes jobs\n    24→//  4. Shutdown(timeout) - Graceful shutdown with timeout\n    25→//\n    26→// # Graceful Shutdown\n    27→//\n    28→// The archiver supports graceful shutdown with configurable timeout:\n    29→//   - Closes channel to reject new jobs\n    30→//   - Waits for pending jobs to complete (up to timeout)\n    31→//   - Cancels context if timeout exceeded\n    32→//   - Ensures worker goroutine exits cleanly\n    33→//\n    34→// # Example Usage\n    35→//\n    36→//\t// Initialize archiver\n    37→//\tctx, cancel := context.WithCancel(context.Background())\n    38→//\tdefer cancel()\n    39→//\tarchiver.Start(jobRepository, ctx)\n    40→//\n    41→//\t// Trigger archiving when job completes\n    42→//\tarchiver.TriggerArchiving(job)\n    43→//\n    44→//\t// Graceful shutdown with 10 second timeout\n    45→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n    46→//\t    log.Printf(\"Archiver shutdown timeout: %v\", err)\n    47→//\t}\n    48→package archiver\n    49→\n    50→import (\n    51→\t\"context\"\n    52→\t\"fmt\"\n    53→\t\"sync\"\n    54→\t\"time\"\n    55→\n    56→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    57→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    58→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    59→\tsq \"github.com/Masterminds/squirrel\"\n    60→)\n    61→\n    62→var (\n    63→\tarchivePending sync.WaitGroup\n    64→\tarchiveChannel chan *schema.Job\n    65→\tjobRepo        *repository.JobRepository\n    66→\tshutdownCtx    context.Context\n    67→\tshutdownCancel context.CancelFunc\n    68→\tworkerDone     chan struct{}\n    69→)\n    70→\n    71→// Start initializes the archiver and starts the background worker goroutine.\n    72→//\n    73→// The archiver processes job archiving requests asynchronously via a buffered channel.\n    74→// Jobs are sent to the channel using TriggerArchiving() and processed by the worker.\n    75→//\n    76→// Parameters:\n    77→//   - r: JobRepository instance for database operations\n    78→//   - ctx: Context for cancellation (shutdown signal propagation)\n    79→//\n    80→// The worker goroutine will run until:\n    81→//   - ctx is cancelled (via parent shutdown)\n    82→//   - archiveChannel is closed (via Shutdown())\n    83→//\n    84→// Must be called before TriggerArchiving(). Safe to call only once.\n    85→func Start(r *repository.JobRepository, ctx context.Context) {\n    86→\tshutdownCtx, shutdownCancel = context.WithCancel(ctx)\n    87→\tarchiveChannel = make(chan *schema.Job, 128)\n    88→\tworkerDone = make(chan struct{})\n    89→\tjobRepo = r\n    90→\n    91→\tgo archivingWorker()\n    92→}\n    93→\n    94→// archivingWorker is the background goroutine that processes job archiving requests.\n    95→//\n    96→// The worker loop:\n    97→//  1. Blocks waiting for jobs on archiveChannel or shutdown signal\n    98→//  2. Fetches job metadata from repository\n    99→//  3. Archives job data to configured backend (calls ArchiveJob)\n   100→//  4. Updates job footprint and energy metrics in database\n   101→//  5. Marks job as successfully archived\n   102→//  6. Calls job stop hooks\n   103→//\n   104→// The worker exits when:\n   105→//   - shutdownCtx is cancelled (timeout during shutdown)\n   106→//   - archiveChannel is closed (normal shutdown)\n   107→//\n   108→// Errors during archiving are logged and the job is marked as failed,\n   109→// but the worker continues processing other jobs.\n   110→func archivingWorker() {\n   111→\tdefer close(workerDone)\n   112→\n   113→\tfor {\n   114→\t\tselect {\n   115→\t\tcase <-shutdownCtx.Done():\n   116→\t\t\tcclog.Info(\"Archive worker received shutdown signal\")\n   117→\t\t\treturn\n   118→\n   119→\t\tcase job, ok := <-archiveChannel:\n   120→\t\t\tif !ok {\n   121→\t\t\t\tcclog.Info(\"Archive channel closed, worker exiting\")\n   122→\t\t\t\treturn\n   123→\t\t\t}\n   124→\n   125→\t\t\tstart := time.Now()\n   126→\t\t\t// not using meta data, called to load JobMeta into Cache?\n   127→\t\t\t// will fail if job meta not in repository\n   128→\t\t\tif _, err := jobRepo.FetchMetadata(job); err != nil {\n   129→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at check metadata step: %s\", *job.ID, err.Error())\n   130→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n   131→\t\t\t\tarchivePending.Done()\n   132→\t\t\t\tcontinue\n   133→\t\t\t}\n   134→\n   135→\t\t\t// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend\n   136→\t\t\t// Use shutdown context to allow cancellation\n   137→\t\t\tjobMeta, err := ArchiveJob(job, shutdownCtx)\n   138→\t\t\tif err != nil {\n   139→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at archiving job step: %s\", *job.ID, err.Error())\n   140→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n   141→\t\t\t\tarchivePending.Done()\n   142→\t\t\t\tcontinue\n   143→\t\t\t}\n   144→\n   145→\t\t\tstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\n   146→\n   147→\t\t\tif stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {\n   148→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Footprint step: %s\", *job.ID, err.Error())\n   149→\t\t\t\tarchivePending.Done()\n   150→\t\t\t\tcontinue\n   151→\t\t\t}\n   152→\t\t\tif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta); err != nil {\n   153→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Energy step: %s\", *job.ID, err.Error())\n   154→\t\t\t\tarchivePending.Done()\n   155→\t\t\t\tcontinue\n   156→\t\t\t}\n   157→\t\t\t// Update the jobs database entry one last time:\n   158→\t\t\tstmt = jobRepo.MarkArchived(stmt, schema.MonitoringStatusArchivingSuccessful)\n   159→\t\t\tif err := jobRepo.Execute(stmt); err != nil {\n   160→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at db execute: %s\", *job.ID, err.Error())\n   161→\t\t\t\tarchivePending.Done()\n   162→\t\t\t\tcontinue\n   163→\t\t\t}\n   164→\t\t\tcclog.Debugf(\"archiving job %d took %s\", job.JobID, time.Since(start))\n   165→\t\t\tcclog.Infof(\"archiving job (dbid: %d) successful\", *job.ID)\n   166→\n   167→\t\t\trepository.CallJobStopHooks(job)\n   168→\t\t\tarchivePending.Done()\n   169→\t\t}\n   170→\t}\n   171→}\n   172→\n   173→// TriggerArchiving queues a job for asynchronous archiving.\n   174→//\n   175→// This function should be called when a job completes (stops) to archive its\n   176→// metric data from the metric store to the configured archive backend.\n   177→//\n   178→// The function:\n   179→//  1. Increments the pending job counter (WaitGroup)\n   180→//  2. Sends the job to the archiving channel (buffered, capacity 128)\n   181→//  3. Returns immediately (non-blocking unless channel is full)\n   182→//\n   183→// The actual archiving is performed asynchronously by the worker goroutine.\n   184→// Upon completion, the worker will decrement the pending counter.\n   185→//\n   186→// Panics if Start() has not been called first.\n   187→func TriggerArchiving(job *schema.Job) {\n   188→\tif archiveChannel == nil {\n   189→\t\tcclog.Fatal(\"Cannot archive without archiving channel. Did you Start the archiver?\")\n   190→\t}\n   191→\n   192→\tarchivePending.Add(1)\n   193→\tarchiveChannel <- job\n   194→}\n   195→\n   196→// Shutdown performs a graceful shutdown of the archiver with a configurable timeout.\n   197→//\n   198→// The shutdown process:\n   199→//  1. Closes archiveChannel - no new jobs will be accepted\n   200→//  2. Waits for pending jobs to complete (up to timeout duration)\n   201→//  3. If timeout is exceeded:\n   202→//     - Cancels shutdownCtx to interrupt ongoing ArchiveJob operations\n   203→//     - Returns error indicating timeout\n   204→//  4. Waits for worker goroutine to exit cleanly\n   205→//\n   206→// Parameters:\n   207→//   - timeout: Maximum duration to wait for pending jobs to complete\n   208→//     (recommended: 10-30 seconds for production)\n   209→//\n   210→// Returns:\n   211→//   - nil if all jobs completed within timeout\n   212→//   - error if timeout was exceeded (some jobs may not have been archived)\n   213→//\n   214→// Jobs that don't complete within the timeout will be marked as failed.\n   215→// The function always ensures the worker goroutine exits before returning.\n   216→//\n   217→// Example:\n   218→//\n   219→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n   220→//\t    log.Printf(\"Some jobs did not complete: %v\", err)\n   221→//\t}\n   222→func Shutdown(timeout time.Duration) error {\n   223→\tcclog.Info(\"Initiating archiver shutdown...\")\n   224→\n   225→\t// Close channel to signal no more jobs will be accepted\n   226→\tclose(archiveChannel)\n   227→\n   228→\t// Create a channel to signal when all jobs are done\n   229→\tdone := make(chan struct{})\n   230→\tgo func() {\n   231→\t\tarchivePending.Wait()\n   232→\t\tclose(done)\n   233→\t}()\n   234→\n   235→\t// Wait for jobs to complete or timeout\n   236→\tselect {\n   237→\tcase <-done:\n   238→\t\tcclog.Info(\"All archive jobs completed successfully\")\n   239→\t\t// Wait for worker to exit\n   240→\t\t<-workerDone\n   241→\t\treturn nil\n   242→\tcase <-time.After(timeout):\n   243→\t\tcclog.Warn(\"Archiver shutdown timeout exceeded, cancelling remaining operations\")\n   244→\t\t// Cancel any ongoing operations\n   245→\t\tshutdownCancel()\n   246→\t\t// Wait for worker to exit\n   247→\t\t<-workerDone\n   248→\t\treturn fmt.Errorf(\"archiver shutdown timeout after %v\", timeout)\n   249→\t}\n   250→}\n   251→"}]},"uuid":"f93048f8-6f17-4a87-a745-7c4a8fc6fed7","timestamp":"2026-03-16T10:20:16.113Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package archiver provides asynchronous job archiving functionality for ClusterCockpit.\n//\n// The archiver runs a background worker goroutine that processes job archiving requests\n// from a buffered channel. When jobs complete, their metric data is archived from the\n// metric store to the configured archive backend (filesystem, S3, etc.).\n//\n// # Architecture\n//\n// The archiver uses a producer-consumer pattern:\n//   - Producer: TriggerArchiving() sends jobs to archiveChannel\n//   - Consumer: archivingWorker() processes jobs from the channel\n//   - Coordination: sync.WaitGroup tracks pending archive operations\n//\n// # Lifecycle\n//\n//  1. Start(repo, ctx) - Initialize worker with context for cancellation\n//  2. TriggerArchiving(job) - Queue job for archiving (called when job stops)\n//  3. archivingWorker() - Background goroutine processes jobs\n//  4. Shutdown(timeout) - Graceful shutdown with timeout\n//\n// # Graceful Shutdown\n//\n// The archiver supports graceful shutdown with configurable timeout:\n//   - Closes channel to reject new jobs\n//   - Waits for pending jobs to complete (up to timeout)\n//   - Cancels context if timeout exceeded\n//   - Ensures worker goroutine exits cleanly\n//\n// # Example Usage\n//\n//\t// Initialize archiver\n//\tctx, cancel := context.WithCancel(context.Background())\n//\tdefer cancel()\n//\tarchiver.Start(jobRepository, ctx)\n//\n//\t// Trigger archiving when job completes\n//\tarchiver.TriggerArchiving(job)\n//\n//\t// Graceful shutdown with 10 second timeout\n//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n//\t    log.Printf(\"Archiver shutdown timeout: %v\", err)\n//\t}\npackage archiver\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nvar (\n\tarchivePending sync.WaitGroup\n\tarchiveChannel chan *schema.Job\n\tjobRepo        *repository.JobRepository\n\tshutdownCtx    context.Context\n\tshutdownCancel context.CancelFunc\n\tworkerDone     chan struct{}\n)\n\n// Start initializes the archiver and starts the background worker goroutine.\n//\n// The archiver processes job archiving requests asynchronously via a buffered channel.\n// Jobs are sent to the channel using TriggerArchiving() and processed by the worker.\n//\n// Parameters:\n//   - r: JobRepository instance for database operations\n//   - ctx: Context for cancellation (shutdown signal propagation)\n//\n// The worker goroutine will run until:\n//   - ctx is cancelled (via parent shutdown)\n//   - archiveChannel is closed (via Shutdown())\n//\n// Must be called before TriggerArchiving(). Safe to call only once.\nfunc Start(r *repository.JobRepository, ctx context.Context) {\n\tshutdownCtx, shutdownCancel = context.WithCancel(ctx)\n\tarchiveChannel = make(chan *schema.Job, 128)\n\tworkerDone = make(chan struct{})\n\tjobRepo = r\n\n\tgo archivingWorker()\n}\n\n// archivingWorker is the background goroutine that processes job archiving requests.\n//\n// The worker loop:\n//  1. Blocks waiting for jobs on archiveChannel or shutdown signal\n//  2. Fetches job metadata from repository\n//  3. Archives job data to configured backend (calls ArchiveJob)\n//  4. Updates job footprint and energy metrics in database\n//  5. Marks job as successfully archived\n//  6. Calls job stop hooks\n//\n// The worker exits when:\n//   - shutdownCtx is cancelled (timeout during shutdown)\n//   - archiveChannel is closed (normal shutdown)\n//\n// Errors during archiving are logged and the job is marked as failed,\n// but the worker continues processing other jobs.\nfunc archivingWorker() {\n\tdefer close(workerDone)\n\n\tfor {\n\t\tselect {\n\t\tcase <-shutdownCtx.Done():\n\t\t\tcclog.Info(\"Archive worker received shutdown signal\")\n\t\t\treturn\n\n\t\tcase job, ok := <-archiveChannel:\n\t\t\tif !ok {\n\t\t\t\tcclog.Info(\"Archive channel closed, worker exiting\")\n\t\t\t\treturn\n\t\t\t}\n\n\t\t\tstart := time.Now()\n\t\t\t// not using meta data, called to load JobMeta into Cache?\n\t\t\t// will fail if job meta not in repository\n\t\t\tif _, err := jobRepo.FetchMetadata(job); err != nil {\n\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at check metadata step: %s\", *job.ID, err.Error())\n\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n\t\t\t\tarchivePending.Done()\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\t// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend\n\t\t\t// Use shutdown context to allow cancellation\n\t\t\tjobMeta, err := ArchiveJob(job, shutdownCtx)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at archiving job step: %s\", *job.ID, err.Error())\n\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n\t\t\t\tarchivePending.Done()\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\n\n\t\t\tif stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {\n\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Footprint step: %s\", *job.ID, err.Error())\n\t\t\t\tarchivePending.Done()\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\tif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta); err != nil {\n\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Energy step: %s\", *job.ID, err.Error())\n\t\t\t\tarchivePending.Done()\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\t// Update the jobs database entry one last time:\n\t\t\tstmt = jobRepo.MarkArchived(stmt, schema.MonitoringStatusArchivingSuccessful)\n\t\t\tif err := jobRepo.Execute(stmt); err != nil {\n\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at db execute: %s\", *job.ID, err.Error())\n\t\t\t\tarchivePending.Done()\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\tcclog.Debugf(\"archiving job %d took %s\", job.JobID, time.Since(start))\n\t\t\tcclog.Infof(\"archiving job (dbid: %d) successful\", *job.ID)\n\n\t\t\trepository.CallJobStopHooks(job)\n\t\t\tarchivePending.Done()\n\t\t}\n\t}\n}\n\n// TriggerArchiving queues a job for asynchronous archiving.\n//\n// This function should be called when a job completes (stops) to archive its\n// metric data from the metric store to the configured archive backend.\n//\n// The function:\n//  1. Increments the pending job counter (WaitGroup)\n//  2. Sends the job to the archiving channel (buffered, capacity 128)\n//  3. Returns immediately (non-blocking unless channel is full)\n//\n// The actual archiving is performed asynchronously by the worker goroutine.\n// Upon completion, the worker will decrement the pending counter.\n//\n// Panics if Start() has not been called first.\nfunc TriggerArchiving(job *schema.Job) {\n\tif archiveChannel == nil {\n\t\tcclog.Fatal(\"Cannot archive without archiving channel. Did you Start the archiver?\")\n\t}\n\n\tarchivePending.Add(1)\n\tarchiveChannel <- job\n}\n\n// Shutdown performs a graceful shutdown of the archiver with a configurable timeout.\n//\n// The shutdown process:\n//  1. Closes archiveChannel - no new jobs will be accepted\n//  2. Waits for pending jobs to complete (up to timeout duration)\n//  3. If timeout is exceeded:\n//     - Cancels shutdownCtx to interrupt ongoing ArchiveJob operations\n//     - Returns error indicating timeout\n//  4. Waits for worker goroutine to exit cleanly\n//\n// Parameters:\n//   - timeout: Maximum duration to wait for pending jobs to complete\n//     (recommended: 10-30 seconds for production)\n//\n// Returns:\n//   - nil if all jobs completed within timeout\n//   - error if timeout was exceeded (some jobs may not have been archived)\n//\n// Jobs that don't complete within the timeout will be marked as failed.\n// The function always ensures the worker goroutine exits before returning.\n//\n// Example:\n//\n//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n//\t    log.Printf(\"Some jobs did not complete: %v\", err)\n//\t}\nfunc Shutdown(timeout time.Duration) error {\n\tcclog.Info(\"Initiating archiver shutdown...\")\n\n\t// Close channel to signal no more jobs will be accepted\n\tclose(archiveChannel)\n\n\t// Create a channel to signal when all jobs are done\n\tdone := make(chan struct{})\n\tgo func() {\n\t\tarchivePending.Wait()\n\t\tclose(done)\n\t}()\n\n\t// Wait for jobs to complete or timeout\n\tselect {\n\tcase <-done:\n\t\tcclog.Info(\"All archive jobs completed successfully\")\n\t\t// Wait for worker to exit\n\t\t<-workerDone\n\t\treturn nil\n\tcase <-time.After(timeout):\n\t\tcclog.Warn(\"Archiver shutdown timeout exceeded, cancelling remaining operations\")\n\t\t// Cancel any ongoing operations\n\t\tshutdownCancel()\n\t\t// Wait for worker to exit\n\t\t<-workerDone\n\t\treturn fmt.Errorf(\"archiver shutdown timeout after %v\", timeout)\n\t}\n}\n","numLines":251,"startLine":1,"totalLines":251}},"sourceToolAssistantUUID":"5078ed1a-9d75-4bee-8ee0-4732ddef3c03","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"5c97780c-18a8-4a2a-bda6-c94e058252c8","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_013cwDLaYAaYE58p3bEr4xdp","toolUseID":"toolu_013cwDLaYAaYE58p3bEr4xdp","timestamp":"2026-03-16T10:20:16.434Z","uuid":"93d4ad0b-7ca8-47dd-af1a-cc3fd1fdd5ab","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"5c97780c-18a8-4a2a-bda6-c94e058252c8","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013cwDLaYAaYE58p3bEr4xdp","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package importer\n     7→\n     8→import (\n     9→\t\"bytes\"\n    10→\t\"encoding/json\"\n    11→\t\"fmt\"\n    12→\t\"os\"\n    13→\t\"strings\"\n    14→\n    15→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    18→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    19→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    20→)\n    21→\n    22→// HandleImportFlag imports jobs from file pairs specified in a comma-separated flag string.\n    23→//\n    24→// The flag format is: \"<path-to-meta.json>:<path-to-data.json>[,<path-to-meta2.json>:<path-to-data2.json>,...]\"\n    25→//\n    26→// For each job pair, this function:\n    27→//  1. Reads and validates the metadata JSON file (schema.Job)\n    28→//  2. Reads and validates the job data JSON file (schema.JobData)\n    29→//  3. Enriches the job with calculated footprints and energy metrics\n    30→//  4. Validates the job using SanityChecks()\n    31→//  5. Imports the job into the archive\n    32→//  6. Inserts the job into the database with associated tags\n    33→//\n    34→// Schema validation is performed if config.Keys.Validate is true.\n    35→//\n    36→// Returns an error if file reading, validation, enrichment, or database operations fail.\n    37→// The function stops processing on the first error encountered.\n    38→func HandleImportFlag(flag string) error {\n    39→\tr := repository.GetJobRepository()\n    40→\n    41→\tfor pair := range strings.SplitSeq(flag, \",\") {\n    42→\t\tfiles := strings.Split(pair, \":\")\n    43→\t\tif len(files) != 2 {\n    44→\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > invalid import flag format\")\n    45→\t\t}\n    46→\n    47→\t\traw, err := os.ReadFile(files[0])\n    48→\t\tif err != nil {\n    49→\t\t\tcclog.Warn(\"Error while reading metadata file for import\")\n    50→\t\t\treturn err\n    51→\t\t}\n    52→\n    53→\t\tif config.Keys.Validate {\n    54→\t\t\tif err = schema.Validate(schema.Meta, bytes.NewReader(raw)); err != nil {\n    55→\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job meta: %v\", err)\n    56→\t\t\t}\n    57→\t\t}\n    58→\t\tdec := json.NewDecoder(bytes.NewReader(raw))\n    59→\t\tdec.DisallowUnknownFields()\n    60→\t\tjob := schema.Job{\n    61→\t\t\tShared:           \"none\",\n    62→\t\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n    63→\t\t}\n    64→\t\tif err = dec.Decode(&job); err != nil {\n    65→\t\t\tcclog.Warn(\"Error while decoding raw json metadata for import\")\n    66→\t\t\treturn err\n    67→\t\t}\n    68→\n    69→\t\traw, err = os.ReadFile(files[1])\n    70→\t\tif err != nil {\n    71→\t\t\tcclog.Warn(\"Error while reading jobdata file for import\")\n    72→\t\t\treturn err\n    73→\t\t}\n    74→\n    75→\t\tif config.Keys.Validate {\n    76→\t\t\tif err = schema.Validate(schema.Data, bytes.NewReader(raw)); err != nil {\n    77→\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job data: %v\", err)\n    78→\t\t\t}\n    79→\t\t}\n    80→\t\tdec = json.NewDecoder(bytes.NewReader(raw))\n    81→\t\tdec.DisallowUnknownFields()\n    82→\t\tjobData := schema.JobData{}\n    83→\t\tif err = dec.Decode(&jobData); err != nil {\n    84→\t\t\tcclog.Warn(\"Error while decoding raw json jobdata for import\")\n    85→\t\t\treturn err\n    86→\t\t}\n    87→\n    88→\t\tjob.MonitoringStatus = schema.MonitoringStatusArchivingSuccessful\n    89→\n    90→\t\tif err = enrichJobMetadata(&job); err != nil {\n    91→\t\t\tcclog.Errorf(\"Error enriching job metadata: %v\", err)\n    92→\t\t\treturn err\n    93→\t\t}\n    94→\n    95→\t\tif err = SanityChecks(&job); err != nil {\n    96→\t\t\tcclog.Warn(\"BaseJob SanityChecks failed\")\n    97→\t\t\treturn err\n    98→\t\t}\n    99→\n   100→\t\tif err = archive.GetHandle().ImportJob(&job, &jobData); err != nil {\n   101→\t\t\tcclog.Error(\"Error while importing job\")\n   102→\t\t\treturn err\n   103→\t\t}\n   104→\n   105→\t\tid, err := r.InsertJobDirect(&job)\n   106→\t\tif err != nil {\n   107→\t\t\tcclog.Warn(\"Error while job db insert\")\n   108→\t\t\treturn err\n   109→\t\t}\n   110→\n   111→\t\tfor _, tag := range job.Tags {\n   112→\t\t\tif err := r.ImportTag(id, tag.Type, tag.Name, tag.Scope); err != nil {\n   113→\t\t\t\tcclog.Error(\"Error while adding or creating tag on import\")\n   114→\t\t\t\treturn err\n   115→\t\t\t}\n   116→\t\t}\n   117→\n   118→\t\tcclog.Infof(\"successfully imported a new job (jobId: %d, cluster: %s, dbid: %d)\", job.JobID, job.Cluster, id)\n   119→\t}\n   120→\treturn nil\n   121→}\n   122→"}]},"uuid":"1c544148-1fc4-481e-a535-848ba4734d66","timestamp":"2026-03-16T10:20:16.434Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage importer\n\nimport (\n\t\"bytes\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// HandleImportFlag imports jobs from file pairs specified in a comma-separated flag string.\n//\n// The flag format is: \"<path-to-meta.json>:<path-to-data.json>[,<path-to-meta2.json>:<path-to-data2.json>,...]\"\n//\n// For each job pair, this function:\n//  1. Reads and validates the metadata JSON file (schema.Job)\n//  2. Reads and validates the job data JSON file (schema.JobData)\n//  3. Enriches the job with calculated footprints and energy metrics\n//  4. Validates the job using SanityChecks()\n//  5. Imports the job into the archive\n//  6. Inserts the job into the database with associated tags\n//\n// Schema validation is performed if config.Keys.Validate is true.\n//\n// Returns an error if file reading, validation, enrichment, or database operations fail.\n// The function stops processing on the first error encountered.\nfunc HandleImportFlag(flag string) error {\n\tr := repository.GetJobRepository()\n\n\tfor pair := range strings.SplitSeq(flag, \",\") {\n\t\tfiles := strings.Split(pair, \":\")\n\t\tif len(files) != 2 {\n\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > invalid import flag format\")\n\t\t}\n\n\t\traw, err := os.ReadFile(files[0])\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while reading metadata file for import\")\n\t\t\treturn err\n\t\t}\n\n\t\tif config.Keys.Validate {\n\t\t\tif err = schema.Validate(schema.Meta, bytes.NewReader(raw)); err != nil {\n\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job meta: %v\", err)\n\t\t\t}\n\t\t}\n\t\tdec := json.NewDecoder(bytes.NewReader(raw))\n\t\tdec.DisallowUnknownFields()\n\t\tjob := schema.Job{\n\t\t\tShared:           \"none\",\n\t\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t\t}\n\t\tif err = dec.Decode(&job); err != nil {\n\t\t\tcclog.Warn(\"Error while decoding raw json metadata for import\")\n\t\t\treturn err\n\t\t}\n\n\t\traw, err = os.ReadFile(files[1])\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while reading jobdata file for import\")\n\t\t\treturn err\n\t\t}\n\n\t\tif config.Keys.Validate {\n\t\t\tif err = schema.Validate(schema.Data, bytes.NewReader(raw)); err != nil {\n\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job data: %v\", err)\n\t\t\t}\n\t\t}\n\t\tdec = json.NewDecoder(bytes.NewReader(raw))\n\t\tdec.DisallowUnknownFields()\n\t\tjobData := schema.JobData{}\n\t\tif err = dec.Decode(&jobData); err != nil {\n\t\t\tcclog.Warn(\"Error while decoding raw json jobdata for import\")\n\t\t\treturn err\n\t\t}\n\n\t\tjob.MonitoringStatus = schema.MonitoringStatusArchivingSuccessful\n\n\t\tif err = enrichJobMetadata(&job); err != nil {\n\t\t\tcclog.Errorf(\"Error enriching job metadata: %v\", err)\n\t\t\treturn err\n\t\t}\n\n\t\tif err = SanityChecks(&job); err != nil {\n\t\t\tcclog.Warn(\"BaseJob SanityChecks failed\")\n\t\t\treturn err\n\t\t}\n\n\t\tif err = archive.GetHandle().ImportJob(&job, &jobData); err != nil {\n\t\t\tcclog.Error(\"Error while importing job\")\n\t\t\treturn err\n\t\t}\n\n\t\tid, err := r.InsertJobDirect(&job)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while job db insert\")\n\t\t\treturn err\n\t\t}\n\n\t\tfor _, tag := range job.Tags {\n\t\t\tif err := r.ImportTag(id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\t\tcclog.Error(\"Error while adding or creating tag on import\")\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\n\t\tcclog.Infof(\"successfully imported a new job (jobId: %d, cluster: %s, dbid: %d)\", job.JobID, job.Cluster, id)\n\t}\n\treturn nil\n}\n","numLines":122,"startLine":1,"totalLines":122}},"sourceToolAssistantUUID":"5c97780c-18a8-4a2a-bda6-c94e058252c8","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"bfc5483e-2e80-4a47-b8d6-fbd1216b1edf","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01NyQGq5HoKhuReqThQpgkSQ","toolUseID":"toolu_01NyQGq5HoKhuReqThQpgkSQ","timestamp":"2026-03-16T10:20:21.987Z","uuid":"fa2fe1da-d91b-4727-b9b4-768b0e78c339","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
+{"parentUuid":"bfc5483e-2e80-4a47-b8d6-fbd1216b1edf","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NyQGq5HoKhuReqThQpgkSQ","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"math\"\n    11→\t\"time\"\n    12→\n    13→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    14→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    16→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    17→\tsq \"github.com/Masterminds/squirrel\"\n    18→\t\"github.com/go-co-op/gocron/v2\"\n    19→)\n    20→\n    21→func RegisterFootprintWorker() {\n    22→\tvar frequency string\n    23→\tif Keys.FootprintWorker != \"\" {\n    24→\t\tfrequency = Keys.FootprintWorker\n    25→\t} else {\n    26→\t\tfrequency = \"10m\"\n    27→\t}\n    28→\n    29→\td, err := parseDuration(frequency)\n    30→\tif err != nil {\n    31→\t\tcclog.Errorf(\"RegisterFootprintWorker: %v\", err)\n    32→\t\treturn\n    33→\t}\n    34→\n    35→\tcclog.Infof(\"Register Footprint Update service with %s interval\", frequency)\n    36→\n    37→\ts.NewJob(gocron.DurationJob(d),\n    38→\t\tgocron.NewTask(\n    39→\t\t\tfunc() {\n    40→\t\t\t\ts := time.Now()\n    41→\t\t\t\tc := 0\n    42→\t\t\t\tce := 0\n    43→\t\t\t\tcl := 0\n    44→\t\t\t\tcclog.Infof(\"Update Footprints started at %s\", s.Format(time.RFC3339))\n    45→\n    46→\t\t\t\tfor _, cluster := range archive.Clusters {\n    47→\t\t\t\t\tsCluster := time.Now()\n    48→\t\t\t\t\tjobs, err := jobRepo.FindRunningJobs(cluster.Name)\n    49→\t\t\t\t\tif err != nil {\n    50→\t\t\t\t\t\tcontinue\n    51→\t\t\t\t\t}\n    52→\t\t\t\t\t// NOTE: Additional SubCluster Loop Could Allow For Limited List Of Footprint-Metrics Only.\n    53→\t\t\t\t\t//       - Chunk-Size Would Then Be 'SubCluster' (Running Jobs, Transactions) as Lists Can Change Within SCs\n    54→\t\t\t\t\t//       - Would Require Review of 'updateFootprint' Usage (Logic Could Possibly Be Included Here Completely)\n    55→\t\t\t\t\tallMetrics := make([]string, 0)\n    56→\t\t\t\t\tmetricConfigs := archive.GetCluster(cluster.Name).MetricConfig\n    57→\t\t\t\t\tfor _, mc := range metricConfigs {\n    58→\t\t\t\t\t\tallMetrics = append(allMetrics, mc.Name)\n    59→\t\t\t\t\t}\n    60→\n    61→\t\t\t\t\tpendingStatements := []sq.UpdateBuilder{}\n    62→\n    63→\t\t\t\t\tfor _, job := range jobs {\n    64→\t\t\t\t\t\tcclog.Debugf(\"Prepare job %d\", job.JobID)\n    65→\t\t\t\t\t\tcl++\n    66→\n    67→\t\t\t\t\t\tsJob := time.Now()\n    68→\n    69→\t\t\t\t\t\tms, err := metricdispatch.GetMetricDataRepo(job.Cluster, job.SubCluster)\n    70→\t\t\t\t\t\tif err != nil {\n    71→\t\t\t\t\t\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n    72→\t\t\t\t\t\t\t\tjob.Cluster, job.SubCluster, err.Error())\n    73→\t\t\t\t\t\t\tcontinue\n    74→\t\t\t\t\t\t}\n    75→\n    76→\t\t\t\t\t\tjobStats, err := ms.LoadStats(job, allMetrics, context.Background())\n    77→\t\t\t\t\t\tif err != nil {\n    78→\t\t\t\t\t\t\tcclog.Errorf(\"error wile loading job data stats for footprint update: %v\", err)\n    79→\t\t\t\t\t\t\tce++\n    80→\t\t\t\t\t\t\tcontinue\n    81→\t\t\t\t\t\t}\n    82→\n    83→\t\t\t\t\t\tjob.Statistics = make(map[string]schema.JobStatistics)\n    84→\n    85→\t\t\t\t\t\tfor _, metric := range allMetrics {\n    86→\t\t\t\t\t\t\tavg, min, max := 0.0, 0.0, 0.0\n    87→\t\t\t\t\t\t\tdata, ok := jobStats[metric] // JobStats[Metric1:[Hostname1:[Stats], Hostname2:[Stats], ...], Metric2[...] ...]\n    88→\t\t\t\t\t\t\tif ok {\n    89→\t\t\t\t\t\t\t\tfor _, res := range job.Resources {\n    90→\t\t\t\t\t\t\t\t\thostStats, ok := data[res.Hostname]\n    91→\t\t\t\t\t\t\t\t\tif ok {\n    92→\t\t\t\t\t\t\t\t\t\tavg += hostStats.Avg\n    93→\t\t\t\t\t\t\t\t\t\tmin = math.Min(min, hostStats.Min)\n    94→\t\t\t\t\t\t\t\t\t\tmax = math.Max(max, hostStats.Max)\n    95→\t\t\t\t\t\t\t\t\t}\n    96→\n    97→\t\t\t\t\t\t\t\t}\n    98→\t\t\t\t\t\t\t}\n    99→\n   100→\t\t\t\t\t\t\t// Add values rounded to 2 digits: repo.LoadStats may return unrounded\n   101→\t\t\t\t\t\t\tjob.Statistics[metric] = schema.JobStatistics{\n   102→\t\t\t\t\t\t\t\tUnit: schema.Unit{\n   103→\t\t\t\t\t\t\t\t\tPrefix: archive.GetMetricConfig(job.Cluster, metric).Unit.Prefix,\n   104→\t\t\t\t\t\t\t\t\tBase:   archive.GetMetricConfig(job.Cluster, metric).Unit.Base,\n   105→\t\t\t\t\t\t\t\t},\n   106→\t\t\t\t\t\t\t\tAvg: (math.Round((avg/float64(job.NumNodes))*100) / 100),\n   107→\t\t\t\t\t\t\t\tMin: (math.Round(min*100) / 100),\n   108→\t\t\t\t\t\t\t\tMax: (math.Round(max*100) / 100),\n   109→\t\t\t\t\t\t\t}\n   110→\t\t\t\t\t\t}\n   111→\n   112→\t\t\t\t\t\t// Build Statement per Job, Add to Pending Array\n   113→\t\t\t\t\t\tstmt := sq.Update(\"job\")\n   114→\t\t\t\t\t\tstmt, err = jobRepo.UpdateFootprint(stmt, job)\n   115→\t\t\t\t\t\tif err != nil {\n   116→\t\t\t\t\t\t\tcclog.Errorf(\"update job (dbid: %d) statement build failed at footprint step: %s\", *job.ID, err.Error())\n   117→\t\t\t\t\t\t\tce++\n   118→\t\t\t\t\t\t\tcontinue\n   119→\t\t\t\t\t\t}\n   120→\t\t\t\t\t\tstmt = stmt.Where(\"job.id = ?\", job.ID)\n   121→\n   122→\t\t\t\t\t\tpendingStatements = append(pendingStatements, stmt)\n   123→\t\t\t\t\t\tcclog.Debugf(\"Job %d took %s\", job.JobID, time.Since(sJob))\n   124→\t\t\t\t\t}\n   125→\n   126→\t\t\t\t\tt, err := jobRepo.TransactionInit()\n   127→\t\t\t\t\tif err != nil {\n   128→\t\t\t\t\t\tcclog.Errorf(\"failed TransactionInit %v\", err)\n   129→\t\t\t\t\t\tcclog.Errorf(\"skipped %d transactions for cluster %s\", len(pendingStatements), cluster.Name)\n   130→\t\t\t\t\t\tce += len(pendingStatements)\n   131→\t\t\t\t\t} else {\n   132→\t\t\t\t\t\tfor _, ps := range pendingStatements {\n   133→\t\t\t\t\t\t\tquery, args, err := ps.ToSql()\n   134→\t\t\t\t\t\t\tif err != nil {\n   135→\t\t\t\t\t\t\t\tcclog.Errorf(\"failed in ToSQL conversion: %v\", err)\n   136→\t\t\t\t\t\t\t\tce++\n   137→\t\t\t\t\t\t\t} else {\n   138→\t\t\t\t\t\t\t\t// args...: Footprint-JSON, Energyfootprint-JSON, TotalEnergy, JobID\n   139→\t\t\t\t\t\t\t\tjobRepo.TransactionAdd(t, query, args...)\n   140→\t\t\t\t\t\t\t\tc++\n   141→\t\t\t\t\t\t\t}\n   142→\t\t\t\t\t\t}\n   143→\t\t\t\t\t\tjobRepo.TransactionEnd(t)\n   144→\t\t\t\t\t}\n   145→\t\t\t\t\tcclog.Debugf(\"Finish Cluster %s, took %s\\n\", cluster.Name, time.Since(sCluster))\n   146→\t\t\t\t}\n   147→\t\t\t\tcclog.Infof(\"Updating %d (of %d; Skipped %d) Footprints is done and took %s\", c, cl, ce, time.Since(s))\n   148→\t\t\t}))\n   149→}\n   150→"}]},"uuid":"87a4201c-478c-481a-a777-cd0ab95957f3","timestamp":"2026-03-16T10:20:21.987Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage taskmanager\n\nimport (\n\t\"context\"\n\t\"math\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/go-co-op/gocron/v2\"\n)\n\nfunc RegisterFootprintWorker() {\n\tvar frequency string\n\tif Keys.FootprintWorker != \"\" {\n\t\tfrequency = Keys.FootprintWorker\n\t} else {\n\t\tfrequency = \"10m\"\n\t}\n\n\td, err := parseDuration(frequency)\n\tif err != nil {\n\t\tcclog.Errorf(\"RegisterFootprintWorker: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Register Footprint Update service with %s interval\", frequency)\n\n\ts.NewJob(gocron.DurationJob(d),\n\t\tgocron.NewTask(\n\t\t\tfunc() {\n\t\t\t\ts := time.Now()\n\t\t\t\tc := 0\n\t\t\t\tce := 0\n\t\t\t\tcl := 0\n\t\t\t\tcclog.Infof(\"Update Footprints started at %s\", s.Format(time.RFC3339))\n\n\t\t\t\tfor _, cluster := range archive.Clusters {\n\t\t\t\t\tsCluster := time.Now()\n\t\t\t\t\tjobs, err := jobRepo.FindRunningJobs(cluster.Name)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\t// NOTE: Additional SubCluster Loop Could Allow For Limited List Of Footprint-Metrics Only.\n\t\t\t\t\t//       - Chunk-Size Would Then Be 'SubCluster' (Running Jobs, Transactions) as Lists Can Change Within SCs\n\t\t\t\t\t//       - Would Require Review of 'updateFootprint' Usage (Logic Could Possibly Be Included Here Completely)\n\t\t\t\t\tallMetrics := make([]string, 0)\n\t\t\t\t\tmetricConfigs := archive.GetCluster(cluster.Name).MetricConfig\n\t\t\t\t\tfor _, mc := range metricConfigs {\n\t\t\t\t\t\tallMetrics = append(allMetrics, mc.Name)\n\t\t\t\t\t}\n\n\t\t\t\t\tpendingStatements := []sq.UpdateBuilder{}\n\n\t\t\t\t\tfor _, job := range jobs {\n\t\t\t\t\t\tcclog.Debugf(\"Prepare job %d\", job.JobID)\n\t\t\t\t\t\tcl++\n\n\t\t\t\t\t\tsJob := time.Now()\n\n\t\t\t\t\t\tms, err := metricdispatch.GetMetricDataRepo(job.Cluster, job.SubCluster)\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\t\t\t\t\t\tjob.Cluster, job.SubCluster, err.Error())\n\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tjobStats, err := ms.LoadStats(job, allMetrics, context.Background())\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"error wile loading job data stats for footprint update: %v\", err)\n\t\t\t\t\t\t\tce++\n\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tjob.Statistics = make(map[string]schema.JobStatistics)\n\n\t\t\t\t\t\tfor _, metric := range allMetrics {\n\t\t\t\t\t\t\tavg, min, max := 0.0, 0.0, 0.0\n\t\t\t\t\t\t\tdata, ok := jobStats[metric] // JobStats[Metric1:[Hostname1:[Stats], Hostname2:[Stats], ...], Metric2[...] ...]\n\t\t\t\t\t\t\tif ok {\n\t\t\t\t\t\t\t\tfor _, res := range job.Resources {\n\t\t\t\t\t\t\t\t\thostStats, ok := data[res.Hostname]\n\t\t\t\t\t\t\t\t\tif ok {\n\t\t\t\t\t\t\t\t\t\tavg += hostStats.Avg\n\t\t\t\t\t\t\t\t\t\tmin = math.Min(min, hostStats.Min)\n\t\t\t\t\t\t\t\t\t\tmax = math.Max(max, hostStats.Max)\n\t\t\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t// Add values rounded to 2 digits: repo.LoadStats may return unrounded\n\t\t\t\t\t\t\tjob.Statistics[metric] = schema.JobStatistics{\n\t\t\t\t\t\t\t\tUnit: schema.Unit{\n\t\t\t\t\t\t\t\t\tPrefix: archive.GetMetricConfig(job.Cluster, metric).Unit.Prefix,\n\t\t\t\t\t\t\t\t\tBase:   archive.GetMetricConfig(job.Cluster, metric).Unit.Base,\n\t\t\t\t\t\t\t\t},\n\t\t\t\t\t\t\t\tAvg: (math.Round((avg/float64(job.NumNodes))*100) / 100),\n\t\t\t\t\t\t\t\tMin: (math.Round(min*100) / 100),\n\t\t\t\t\t\t\t\tMax: (math.Round(max*100) / 100),\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\t// Build Statement per Job, Add to Pending Array\n\t\t\t\t\t\tstmt := sq.Update(\"job\")\n\t\t\t\t\t\tstmt, err = jobRepo.UpdateFootprint(stmt, job)\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"update job (dbid: %d) statement build failed at footprint step: %s\", *job.ID, err.Error())\n\t\t\t\t\t\t\tce++\n\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t}\n\t\t\t\t\t\tstmt = stmt.Where(\"job.id = ?\", job.ID)\n\n\t\t\t\t\t\tpendingStatements = append(pendingStatements, stmt)\n\t\t\t\t\t\tcclog.Debugf(\"Job %d took %s\", job.JobID, time.Since(sJob))\n\t\t\t\t\t}\n\n\t\t\t\t\tt, err := jobRepo.TransactionInit()\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"failed TransactionInit %v\", err)\n\t\t\t\t\t\tcclog.Errorf(\"skipped %d transactions for cluster %s\", len(pendingStatements), cluster.Name)\n\t\t\t\t\t\tce += len(pendingStatements)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tfor _, ps := range pendingStatements {\n\t\t\t\t\t\t\tquery, args, err := ps.ToSql()\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"failed in ToSQL conversion: %v\", err)\n\t\t\t\t\t\t\t\tce++\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\t// args...: Footprint-JSON, Energyfootprint-JSON, TotalEnergy, JobID\n\t\t\t\t\t\t\t\tjobRepo.TransactionAdd(t, query, args...)\n\t\t\t\t\t\t\t\tc++\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t\tjobRepo.TransactionEnd(t)\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Debugf(\"Finish Cluster %s, took %s\\n\", cluster.Name, time.Since(sCluster))\n\t\t\t\t}\n\t\t\t\tcclog.Infof(\"Updating %d (of %d; Skipped %d) Footprints is done and took %s\", c, cl, ce, time.Since(s))\n\t\t\t}))\n}\n","numLines":150,"startLine":1,"totalLines":150}},"sourceToolAssistantUUID":"bfc5483e-2e80-4a47-b8d6-fbd1216b1edf","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"b14cef18-8d16-4d22-9829-66379572f507","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0195DFsKrvHLqVJHLyvfkkWr","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package taskmanager\n     7→\n     8→import (\n     9→\t\"time\"\n    10→\n    11→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    12→\t\"github.com/go-co-op/gocron/v2\"\n    13→)\n    14→\n    15→func RegisterUpdateDurationWorker() {\n    16→\tvar frequency string\n    17→\tif Keys.DurationWorker != \"\" {\n    18→\t\tfrequency = Keys.DurationWorker\n    19→\t} else {\n    20→\t\tfrequency = \"5m\"\n    21→\t}\n    22→\n    23→\td, err := parseDuration(frequency)\n    24→\tif err != nil {\n    25→\t\tcclog.Errorf(\"RegisterUpdateDurationWorker: %v\", err)\n    26→\t\treturn\n    27→\t}\n    28→\n    29→\tcclog.Infof(\"Register Duration Update service with %s interval\", frequency)\n    30→\n    31→\ts.NewJob(gocron.DurationJob(d),\n    32→\t\tgocron.NewTask(\n    33→\t\t\tfunc() {\n    34→\t\t\t\tstart := time.Now()\n    35→\t\t\t\tcclog.Infof(\"Update duration started at %s\", start.Format(time.RFC3339))\n    36→\t\t\t\tjobRepo.UpdateDuration()\n    37→\t\t\t\tcclog.Infof(\"Update duration is done and took %s\", time.Since(start))\n    38→\t\t\t}))\n    39→}\n    40→"}]},"uuid":"8a6ed30b-b6be-4712-a630-e98681852f68","timestamp":"2026-03-16T10:20:22.343Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateDurationService.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage taskmanager\n\nimport (\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/go-co-op/gocron/v2\"\n)\n\nfunc RegisterUpdateDurationWorker() {\n\tvar frequency string\n\tif Keys.DurationWorker != \"\" {\n\t\tfrequency = Keys.DurationWorker\n\t} else {\n\t\tfrequency = \"5m\"\n\t}\n\n\td, err := parseDuration(frequency)\n\tif err != nil {\n\t\tcclog.Errorf(\"RegisterUpdateDurationWorker: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Register Duration Update service with %s interval\", frequency)\n\n\ts.NewJob(gocron.DurationJob(d),\n\t\tgocron.NewTask(\n\t\t\tfunc() {\n\t\t\t\tstart := time.Now()\n\t\t\t\tcclog.Infof(\"Update duration started at %s\", start.Format(time.RFC3339))\n\t\t\t\tjobRepo.UpdateDuration()\n\t\t\t\tcclog.Infof(\"Update duration is done and took %s\", time.Since(start))\n\t\t\t}))\n}\n","numLines":40,"startLine":1,"totalLines":40}},"sourceToolAssistantUUID":"b14cef18-8d16-4d22-9829-66379572f507","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"3ce3bea2-f3ac-4821-8d5b-2c856d9a0481","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BMUnpCkFtrCg7vC1z1GFcB","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package repository\n     6→\n     7→import (\n     8→\t\"fmt\"\n     9→\n    10→\t\"github.com/jmoiron/sqlx\"\n    11→)\n    12→\n    13→// Transaction wraps a database transaction for job-related operations.\n    14→type Transaction struct {\n    15→\ttx *sqlx.Tx\n    16→}\n    17→\n    18→// TransactionInit begins a new transaction.\n    19→func (r *JobRepository) TransactionInit() (*Transaction, error) {\n    20→\ttx, err := r.DB.Beginx()\n    21→\tif err != nil {\n    22→\t\treturn nil, fmt.Errorf(\"beginning transaction: %w\", err)\n    23→\t}\n    24→\treturn &Transaction{tx: tx}, nil\n    25→}\n    26→\n    27→// Commit commits the transaction.\n    28→// After calling Commit, the transaction should not be used again.\n    29→func (t *Transaction) Commit() error {\n    30→\tif t.tx == nil {\n    31→\t\treturn fmt.Errorf(\"transaction already committed or rolled back\")\n    32→\t}\n    33→\terr := t.tx.Commit()\n    34→\tt.tx = nil // Mark as completed\n    35→\tif err != nil {\n    36→\t\treturn fmt.Errorf(\"committing transaction: %w\", err)\n    37→\t}\n    38→\treturn nil\n    39→}\n    40→\n    41→// Rollback rolls back the transaction.\n    42→// It's safe to call Rollback on an already committed or rolled back transaction.\n    43→func (t *Transaction) Rollback() error {\n    44→\tif t.tx == nil {\n    45→\t\treturn nil // Already committed/rolled back\n    46→\t}\n    47→\terr := t.tx.Rollback()\n    48→\tt.tx = nil // Mark as completed\n    49→\tif err != nil {\n    50→\t\treturn fmt.Errorf(\"rolling back transaction: %w\", err)\n    51→\t}\n    52→\treturn nil\n    53→}\n    54→\n    55→// TransactionEnd commits the transaction.\n    56→// Deprecated: Use Commit() instead.\n    57→func (r *JobRepository) TransactionEnd(t *Transaction) error {\n    58→\treturn t.Commit()\n    59→}\n    60→\n    61→// TransactionAddNamed executes a named query within the transaction.\n    62→func (r *JobRepository) TransactionAddNamed(\n    63→\tt *Transaction,\n    64→\tquery string,\n    65→\targs ...any,\n    66→) (int64, error) {\n    67→\tif t.tx == nil {\n    68→\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n    69→\t}\n    70→\n    71→\tres, err := t.tx.NamedExec(query, args)\n    72→\tif err != nil {\n    73→\t\treturn 0, fmt.Errorf(\"named exec: %w\", err)\n    74→\t}\n    75→\n    76→\tid, err := res.LastInsertId()\n    77→\tif err != nil {\n    78→\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n    79→\t}\n    80→\n    81→\treturn id, nil\n    82→}\n    83→\n    84→// TransactionAdd executes a query within the transaction.\n    85→func (r *JobRepository) TransactionAdd(t *Transaction, query string, args ...any) (int64, error) {\n    86→\tif t.tx == nil {\n    87→\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n    88→\t}\n    89→\n    90→\tres, err := t.tx.Exec(query, args...)\n    91→\tif err != nil {\n    92→\t\treturn 0, fmt.Errorf(\"exec: %w\", err)\n    93→\t}\n    94→\n    95→\tid, err := res.LastInsertId()\n    96→\tif err != nil {\n    97→\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n    98→\t}\n    99→\n   100→\treturn id, nil\n   101→}\n   102→"}]},"uuid":"b7fd8b96-d53a-4e3d-92e3-cbb01b84bd67","timestamp":"2026-03-16T10:20:22.637Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/transaction.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage repository\n\nimport (\n\t\"fmt\"\n\n\t\"github.com/jmoiron/sqlx\"\n)\n\n// Transaction wraps a database transaction for job-related operations.\ntype Transaction struct {\n\ttx *sqlx.Tx\n}\n\n// TransactionInit begins a new transaction.\nfunc (r *JobRepository) TransactionInit() (*Transaction, error) {\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\treturn nil, fmt.Errorf(\"beginning transaction: %w\", err)\n\t}\n\treturn &Transaction{tx: tx}, nil\n}\n\n// Commit commits the transaction.\n// After calling Commit, the transaction should not be used again.\nfunc (t *Transaction) Commit() error {\n\tif t.tx == nil {\n\t\treturn fmt.Errorf(\"transaction already committed or rolled back\")\n\t}\n\terr := t.tx.Commit()\n\tt.tx = nil // Mark as completed\n\tif err != nil {\n\t\treturn fmt.Errorf(\"committing transaction: %w\", err)\n\t}\n\treturn nil\n}\n\n// Rollback rolls back the transaction.\n// It's safe to call Rollback on an already committed or rolled back transaction.\nfunc (t *Transaction) Rollback() error {\n\tif t.tx == nil {\n\t\treturn nil // Already committed/rolled back\n\t}\n\terr := t.tx.Rollback()\n\tt.tx = nil // Mark as completed\n\tif err != nil {\n\t\treturn fmt.Errorf(\"rolling back transaction: %w\", err)\n\t}\n\treturn nil\n}\n\n// TransactionEnd commits the transaction.\n// Deprecated: Use Commit() instead.\nfunc (r *JobRepository) TransactionEnd(t *Transaction) error {\n\treturn t.Commit()\n}\n\n// TransactionAddNamed executes a named query within the transaction.\nfunc (r *JobRepository) TransactionAddNamed(\n\tt *Transaction,\n\tquery string,\n\targs ...any,\n) (int64, error) {\n\tif t.tx == nil {\n\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n\t}\n\n\tres, err := t.tx.NamedExec(query, args)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"named exec: %w\", err)\n\t}\n\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n\t}\n\n\treturn id, nil\n}\n\n// TransactionAdd executes a query within the transaction.\nfunc (r *JobRepository) TransactionAdd(t *Transaction, query string, args ...any) (int64, error) {\n\tif t.tx == nil {\n\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n\t}\n\n\tres, err := t.tx.Exec(query, args...)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"exec: %w\", err)\n\t}\n\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n\t}\n\n\treturn id, nil\n}\n","numLines":102,"startLine":1,"totalLines":102}},"sourceToolAssistantUUID":"3ce3bea2-f3ac-4821-8d5b-2c856d9a0481","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"a0388b2d-5128-4103-a3e9-1b403aebd634","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01KVbjcaCsS9yWbGRFmuWN14","toolUseID":"toolu_01KVbjcaCsS9yWbGRFmuWN14","timestamp":"2026-03-16T10:20:28.748Z","uuid":"7ff5012e-a437-4db5-b10f-08c9cbb8719d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"f0597a67-7b23-4535-ad3d-c7f6504b2cfe","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01NmDyVGR14m56zJq4osBX8r","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PhVPX1dgq6sxbbDWj6iFRa","name":"Write","input":{"file_path":"/Users/jan/.claude/plans/woolly-wandering-narwhal.md","content":"# Additional SQLite Write Contention Reductions\n\n## Context\n\nFixes 1-5 (busy_timeout, batch node states, LDAP sync, NATS semaphores, SyncJobs transaction) are already implemented. This plan identifies **remaining** opportunities to reduce DB write pressure through transactions and batching.\n\nAfter reviewing all write paths in the codebase, most periodic tasks are already well-optimized:\n- `UpdateDuration` — single bulk UPDATE, efficient\n- `StopJobsExceedingWalltimeBy` — single bulk UPDATE, efficient\n- `DeleteJobsBefore` — single bulk DELETE, efficient\n- Footprint worker — already uses `TransactionInit/TransactionAdd/TransactionEnd` per cluster\n- Archiver — chains UpdateFootprint + UpdateEnergy + MarkArchived into single `sq.Update` statement, efficient\n\nThe remaining opportunities are in **tag operations**, **TransferCachedJobToMain**, and **job imports**.\n\n---\n\n## Fix 6: Wrap TransferCachedJobToMain in a Transaction\n\n**File:** `internal/repository/jobCreate.go:130-149`\n\nCurrently does INSERT + DELETE as two separate `r.DB.Exec()` calls. If the process crashes between them, the job_cache row is orphaned (duplicate on next SyncJobs).\n\n**Change:** Wrap both operations in a transaction:\n```go\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n    tx, err := r.DB.Beginx()\n    // INSERT INTO job ... SELECT ... FROM job_cache WHERE id = ?\n    // newID from LastInsertId\n    // DELETE FROM job_cache WHERE id = ?\n    // tx.Commit()\n}\n```\n\n**Impact:** Atomicity + 1 lock acquisition instead of 2. Called per job stop from cache path.\n\n---\n\n## Fix 7: Batch Tag Operations on Job Start (NATS + REST)\n\n**File:** `internal/api/nats.go:228-233` — loops `AddTagOrCreate` per tag\n**File:** `internal/api/job.go` — same pattern in `startJob` REST handler\n\nCurrently each tag does: SELECT tag → INSERT tag (if new) → SELECT job → INSERT jobtag → SELECT tags → archive.UpdateTags. For a job with 5 tags = 30 individual DB operations.\n\n**Change:** Add `BatchAddTagsDirect` to `internal/repository/tags.go`:\n- Accept jobID + slice of tags\n- Begin transaction\n- For each tag: resolve/create tag ID, INSERT jobtag — all within same transaction\n- Commit\n- Single archive.UpdateTags call at the end (outside transaction)\n\nThen update callers:\n- `internal/api/nats.go:228-233` — replace loop with `BatchAddTagsDirect`\n- `internal/api/job.go` (startJob REST handler) — same change\n\n**Keep** existing `AddTagOrCreate` for single-tag use cases (GraphQL, REST tag endpoint).\n\n**Impact:** N tags = 1 transaction + 1 archive update instead of N * 5 separate operations. Most impactful when scheduler sends jobs with multiple tags.\n\n---\n\n## Fix 8: Batch Tag Imports\n\n**File:** `internal/importer/handleImport.go:111-116` — loops `ImportTag` per tag per job\n\nCurrently each tag does: SELECT tag → INSERT tag (if new) → INSERT jobtag. For 100 jobs with 3 tags each = 600+ individual operations.\n\n**Change:** Add `BatchImportTags` to `internal/repository/tags.go`:\n- Accept jobID + slice of (type, name, scope)\n- Begin transaction\n- For each tag: resolve/create tag ID + INSERT jobtag\n- Commit\n\nUpdate `handleImport.go` to call `BatchImportTags` instead of the loop.\n\n**Impact:** Reduces lock acquisitions from 2*N to 1 per job's tags during import. Import is a startup-only operation but can be long-running for large archives.\n\n---\n\n## Fix 9: Wrap RemoveTagByID in a Transaction\n\n**File:** `internal/repository/tags.go:216-244`\n\nCurrently does DELETE FROM jobtag + DELETE FROM tag as two separate operations. If the second fails, jobtag rows are gone but the orphaned tag row remains.\n\n**Change:**\n```go\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n    jobIds, err := r.FindJobIdsByTag(tagID)\n    // ...\n    tx, err := r.DB.Beginx()\n    defer tx.Rollback()\n    // DELETE FROM jobtag WHERE tag_id = ?  (on tx)\n    // DELETE FROM tag WHERE id = ?  (on tx)\n    tx.Commit()\n    go r.removeTagFromArchiveJobs(jobIds)\n}\n```\n\n**Impact:** Atomicity for tag deletion. Low frequency (admin operation) but prevents orphaned data.\n\n---\n\n## Implementation Order\n\n1. **Fix 6** (TransferCachedJobToMain) — trivial, fixes a real atomicity bug\n2. **Fix 7** (batch tags on job start) — biggest remaining contention reduction for NATS path\n3. **Fix 8** (batch tag imports) — only affects import, but easy once Fix 7 pattern exists\n4. **Fix 9** (RemoveTagByID transaction) — minor, correctness improvement\n\n---\n\n## Files to Modify\n\n| File | Changes |\n|------|---------|\n| `internal/repository/jobCreate.go` | Fix 6: wrap TransferCachedJobToMain in transaction |\n| `internal/repository/tags.go` | Fix 7: add `BatchAddTagsDirect`; Fix 8: add `BatchImportTags`; Fix 9: transaction in RemoveTagByID |\n| `internal/api/nats.go` | Fix 7: use BatchAddTagsDirect in handleStartJob |\n| `internal/api/job.go` | Fix 7: use BatchAddTagsDirect in startJob REST handler |\n| `internal/importer/handleImport.go` | Fix 8: use BatchImportTags |\n\n---\n\n## What NOT to Change\n\nThese are already efficient and don't need modification:\n- `UpdateDuration` — single bulk UPDATE\n- `StopJobsExceedingWalltimeBy` — single bulk UPDATE\n- `DeleteJobsBefore` — single bulk DELETE\n- Footprint worker — already transactional per cluster\n- Archiver — already chains SETs into single UPDATE via Squirrel builder\n- `UpdateUser` — admin-only, very low frequency, not worth the complexity\n- `AddUser` deprecated metrics loop — marked DEPRECATED, will be removed; not worth optimizing\n\n---\n\n## Verification\n\n1. `go test ./internal/repository/... ./internal/api/... ./internal/importer/...`\n2. After Fix 6: verify `TransferCachedJobToMain` atomicity — stop a job that's in cache, check job table has correct ID and cache is empty\n3. After Fix 7: start a job with multiple tags via NATS — verify all tags appear, check that only 1 transaction was used (enable debug logging)\n4. After Fix 9: delete a tag via GraphQL — verify both tag and jobtag rows removed atomically\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2503,"cache_read_input_tokens":114295,"output_tokens":1912,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2503,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6bEMMkG4V511Dsu7bkm","type":"assistant","uuid":"b4439843-d8a6-40b1-9d71-93da5b44f966","timestamp":"2026-03-16T10:21:13.155Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"b4439843-d8a6-40b1-9d71-93da5b44f966","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PhVPX1dgq6sxbbDWj6iFRa","type":"tool_result","content":"The file /Users/jan/.claude/plans/woolly-wandering-narwhal.md has been updated successfully."}]},"uuid":"0f9e07a1-3eb3-4713-b47e-0c653524b515","timestamp":"2026-03-16T10:21:13.171Z","toolUseResult":{"type":"update","filePath":"/Users/jan/.claude/plans/woolly-wandering-narwhal.md","content":"# Additional SQLite Write Contention Reductions\n\n## Context\n\nFixes 1-5 (busy_timeout, batch node states, LDAP sync, NATS semaphores, SyncJobs transaction) are already implemented. This plan identifies **remaining** opportunities to reduce DB write pressure through transactions and batching.\n\nAfter reviewing all write paths in the codebase, most periodic tasks are already well-optimized:\n- `UpdateDuration` — single bulk UPDATE, efficient\n- `StopJobsExceedingWalltimeBy` — single bulk UPDATE, efficient\n- `DeleteJobsBefore` — single bulk DELETE, efficient\n- Footprint worker — already uses `TransactionInit/TransactionAdd/TransactionEnd` per cluster\n- Archiver — chains UpdateFootprint + UpdateEnergy + MarkArchived into single `sq.Update` statement, efficient\n\nThe remaining opportunities are in **tag operations**, **TransferCachedJobToMain**, and **job imports**.\n\n---\n\n## Fix 6: Wrap TransferCachedJobToMain in a Transaction\n\n**File:** `internal/repository/jobCreate.go:130-149`\n\nCurrently does INSERT + DELETE as two separate `r.DB.Exec()` calls. If the process crashes between them, the job_cache row is orphaned (duplicate on next SyncJobs).\n\n**Change:** Wrap both operations in a transaction:\n```go\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n    tx, err := r.DB.Beginx()\n    // INSERT INTO job ... SELECT ... FROM job_cache WHERE id = ?\n    // newID from LastInsertId\n    // DELETE FROM job_cache WHERE id = ?\n    // tx.Commit()\n}\n```\n\n**Impact:** Atomicity + 1 lock acquisition instead of 2. Called per job stop from cache path.\n\n---\n\n## Fix 7: Batch Tag Operations on Job Start (NATS + REST)\n\n**File:** `internal/api/nats.go:228-233` — loops `AddTagOrCreate` per tag\n**File:** `internal/api/job.go` — same pattern in `startJob` REST handler\n\nCurrently each tag does: SELECT tag → INSERT tag (if new) → SELECT job → INSERT jobtag → SELECT tags → archive.UpdateTags. For a job with 5 tags = 30 individual DB operations.\n\n**Change:** Add `BatchAddTagsDirect` to `internal/repository/tags.go`:\n- Accept jobID + slice of tags\n- Begin transaction\n- For each tag: resolve/create tag ID, INSERT jobtag — all within same transaction\n- Commit\n- Single archive.UpdateTags call at the end (outside transaction)\n\nThen update callers:\n- `internal/api/nats.go:228-233` — replace loop with `BatchAddTagsDirect`\n- `internal/api/job.go` (startJob REST handler) — same change\n\n**Keep** existing `AddTagOrCreate` for single-tag use cases (GraphQL, REST tag endpoint).\n\n**Impact:** N tags = 1 transaction + 1 archive update instead of N * 5 separate operations. Most impactful when scheduler sends jobs with multiple tags.\n\n---\n\n## Fix 8: Batch Tag Imports\n\n**File:** `internal/importer/handleImport.go:111-116` — loops `ImportTag` per tag per job\n\nCurrently each tag does: SELECT tag → INSERT tag (if new) → INSERT jobtag. For 100 jobs with 3 tags each = 600+ individual operations.\n\n**Change:** Add `BatchImportTags` to `internal/repository/tags.go`:\n- Accept jobID + slice of (type, name, scope)\n- Begin transaction\n- For each tag: resolve/create tag ID + INSERT jobtag\n- Commit\n\nUpdate `handleImport.go` to call `BatchImportTags` instead of the loop.\n\n**Impact:** Reduces lock acquisitions from 2*N to 1 per job's tags during import. Import is a startup-only operation but can be long-running for large archives.\n\n---\n\n## Fix 9: Wrap RemoveTagByID in a Transaction\n\n**File:** `internal/repository/tags.go:216-244`\n\nCurrently does DELETE FROM jobtag + DELETE FROM tag as two separate operations. If the second fails, jobtag rows are gone but the orphaned tag row remains.\n\n**Change:**\n```go\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n    jobIds, err := r.FindJobIdsByTag(tagID)\n    // ...\n    tx, err := r.DB.Beginx()\n    defer tx.Rollback()\n    // DELETE FROM jobtag WHERE tag_id = ?  (on tx)\n    // DELETE FROM tag WHERE id = ?  (on tx)\n    tx.Commit()\n    go r.removeTagFromArchiveJobs(jobIds)\n}\n```\n\n**Impact:** Atomicity for tag deletion. Low frequency (admin operation) but prevents orphaned data.\n\n---\n\n## Implementation Order\n\n1. **Fix 6** (TransferCachedJobToMain) — trivial, fixes a real atomicity bug\n2. **Fix 7** (batch tags on job start) — biggest remaining contention reduction for NATS path\n3. **Fix 8** (batch tag imports) — only affects import, but easy once Fix 7 pattern exists\n4. **Fix 9** (RemoveTagByID transaction) — minor, correctness improvement\n\n---\n\n## Files to Modify\n\n| File | Changes |\n|------|---------|\n| `internal/repository/jobCreate.go` | Fix 6: wrap TransferCachedJobToMain in transaction |\n| `internal/repository/tags.go` | Fix 7: add `BatchAddTagsDirect`; Fix 8: add `BatchImportTags`; Fix 9: transaction in RemoveTagByID |\n| `internal/api/nats.go` | Fix 7: use BatchAddTagsDirect in handleStartJob |\n| `internal/api/job.go` | Fix 7: use BatchAddTagsDirect in startJob REST handler |\n| `internal/importer/handleImport.go` | Fix 8: use BatchImportTags |\n\n---\n\n## What NOT to Change\n\nThese are already efficient and don't need modification:\n- `UpdateDuration` — single bulk UPDATE\n- `StopJobsExceedingWalltimeBy` — single bulk UPDATE\n- `DeleteJobsBefore` — single bulk DELETE\n- Footprint worker — already transactional per cluster\n- Archiver — already chains SETs into single UPDATE via Squirrel builder\n- `UpdateUser` — admin-only, very low frequency, not worth the complexity\n- `AddUser` deprecated metrics loop — marked DEPRECATED, will be removed; not worth optimizing\n\n---\n\n## Verification\n\n1. `go test ./internal/repository/... ./internal/api/... ./internal/importer/...`\n2. After Fix 6: verify `TransferCachedJobToMain` atomicity — stop a job that's in cache, check job table has correct ID and cache is empty\n3. After Fix 7: start a job with multiple tags via NATS — verify all tags appear, check that only 1 transaction was used (enable debug logging)\n4. After Fix 9: delete a tag via GraphQL — verify both tag and jobtag rows removed atomically\n","structuredPatch":[{"oldStart":1,"oldLines":126,"newStart":1,"newLines":144,"lines":["-# Fix: SQLite Write Contention Causing OOM Crash","+# Additional SQLite Write Contention Reductions"," "," ## Context"," ","-The server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.","+Fixes 1-5 (busy_timeout, batch node states, LDAP sync, NATS semaphores, SyncJobs transaction) are already implemented. This plan identifies **remaining** opportunities to reduce DB write pressure through transactions and batching."," ","-**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.","+After reviewing all write paths in the codebase, most periodic tasks are already well-optimized:","+- `UpdateDuration` — single bulk UPDATE, efficient","+- `StopJobsExceedingWalltimeBy` — single bulk UPDATE, efficient","+- `DeleteJobsBefore` — single bulk DELETE, efficient","+- Footprint worker — already uses `TransactionInit/TransactionAdd/TransactionEnd` per cluster","+- Archiver — chains UpdateFootprint + UpdateEnergy + MarkArchived into single `sq.Update` statement, efficient"," ","-The cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.","+The remaining opportunities are in **tag operations**, **TransferCachedJobToMain**, and **job imports**."," "," ---"," ","-## Fix 1: Increase busy_timeout (contention relief)","+## Fix 6: Wrap TransferCachedJobToMain in a Transaction"," ","-**File:** `internal/repository/dbConnection.go:73`","+**File:** `internal/repository/jobCreate.go:130-149`"," ","-Change `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:","+Currently does INSERT + DELETE as two separate `r.DB.Exec()` calls. If the process crashes between them, the job_cache row is orphaned (duplicate on next SyncJobs)."," ","-**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.","+**Change:** Wrap both operations in a transaction:","+```go","+func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {","+    tx, err := r.DB.Beginx()","+    // INSERT INTO job ... SELECT ... FROM job_cache WHERE id = ?","+    // newID from LastInsertId","+    // DELETE FROM job_cache WHERE id = ?","+    // tx.Commit()","+}","+```"," ","-**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.","+**Impact:** Atomicity + 1 lock acquisition instead of 2. Called per job stop from cache path."," ","-**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.","-","-With 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.","-"," ---"," ","-## Fix 2: Batch Node State Updates in a Transaction","+## Fix 7: Batch Tag Operations on Job Start (NATS + REST)"," ","-Currently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.","+**File:** `internal/api/nats.go:228-233` — loops `AddTagOrCreate` per tag","+**File:** `internal/api/job.go` — same pattern in `startJob` REST handler"," ","-**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:","-- Accept a slice of `(hostname, cluster, nodeState)` tuples","+Currently each tag does: SELECT tag → INSERT tag (if new) → SELECT job → INSERT jobtag → SELECT tags → archive.UpdateTags. For a job with 5 tags = 30 individual DB operations.","+","+**Change:** Add `BatchAddTagsDirect` to `internal/repository/tags.go`:","+- Accept jobID + slice of tags"," - Begin transaction","-- For each node: lookup ID (or insert node), then insert state — all within the same transaction","-- Commit once","+- For each tag: resolve/create tag ID, INSERT jobtag — all within same transaction","+- Commit","+- Single archive.UpdateTags call at the end (outside transaction)"," ","-**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.","+Then update callers:","+- `internal/api/nats.go:228-233` — replace loop with `BatchAddTagsDirect`","+- `internal/api/job.go` (startJob REST handler) — same change"," ","-**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).","+**Keep** existing `AddTagOrCreate` for single-tag use cases (GraphQL, REST tag endpoint)."," ","-Keep the existing `UpdateNodeState` method for single-node use cases.","+**Impact:** N tags = 1 transaction + 1 archive update instead of N * 5 separate operations. Most impactful when scheduler sends jobs with multiple tags."," "," ---"," ","-## Fix 3: Fix LDAP Sync Race Condition","+## Fix 8: Batch Tag Imports"," ","-The LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.","+**File:** `internal/importer/handleImport.go:111-116` — loops `ImportTag` per tag per job"," ","-**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:","-```go","-func (r *UserRepository) AddUserIfNotExists(user *schema.User) error {","-    rolesJson, _ := json.Marshal(user.Roles)","-    projectsJson, _ := json.Marshal(user.Projects)","-    cols := \"username, name, roles, projects, ldap\"","-    _, err := r.DB.Exec(","-        `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,","-        user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))","-    return err","-}","-```","+Currently each tag does: SELECT tag → INSERT tag (if new) → INSERT jobtag. For 100 jobs with 3 tags each = 600+ individual operations."," ","-**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.","+**Change:** Add `BatchImportTags` to `internal/repository/tags.go`:","+- Accept jobID + slice of (type, name, scope)","+- Begin transaction","+- For each tag: resolve/create tag ID + INSERT jobtag","+- Commit"," ","-Note: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.","+Update `handleImport.go` to call `BatchImportTags` instead of the loop."," ","+**Impact:** Reduces lock acquisitions from 2*N to 1 per job's tags during import. Import is a startup-only operation but can be long-running for large archives.","+"," ---"," ","-## Fix 4: Add Semaphore for NATS Handlers","+## Fix 9: Wrap RemoveTagByID in a Transaction"," ","-Without rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.","+**File:** `internal/repository/tags.go:216-244`"," ","-**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:","+Currently does DELETE FROM jobtag + DELETE FROM tag as two separate operations. If the second fails, jobtag rows are gone but the orphaned tag row remains.","+","+**Change:**"," ```go","-type NatsAPI struct {","-    JobRepository   *repository.JobRepository","-    RepositoryMutex sync.Mutex","-    jobSem          chan struct{}","-    nodeSem         chan struct{}","+func (r *JobRepository) RemoveTagByID(tagID int64) error {","+    jobIds, err := r.FindJobIdsByTag(tagID)","+    // ...","+    tx, err := r.DB.Beginx()","+    defer tx.Rollback()","+    // DELETE FROM jobtag WHERE tag_id = ?  (on tx)","+    // DELETE FROM tag WHERE id = ?  (on tx)","+    tx.Commit()","+    go r.removeTagFromArchiveJobs(jobIds)"," }"," ```"," ","-Initialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.","+**Impact:** Atomicity for tag deletion. Low frequency (admin operation) but prevents orphaned data."," ","-Add acquire/release in `handleJobEvent` and `handleNodeState`:","-```go","-api.jobSem <- struct{}{}","-defer func() { <-api.jobSem }()","-```","-","-This caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.","-"," ---"," ","-## Fix 5: Wrap SyncJobs in a Transaction","+## Implementation Order"," ","-**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)","+1. **Fix 6** (TransferCachedJobToMain) — trivial, fixes a real atomicity bug","+2. **Fix 7** (batch tags on job start) — biggest remaining contention reduction for NATS path","+3. **Fix 8** (batch tag imports) — only affects import, but easy once Fix 7 pattern exists","+4. **Fix 9** (RemoveTagByID transaction) — minor, correctness improvement"," ","-Currently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:","-- `tx, err := r.DB.Beginx()`","-- Run all three operations on `tx`","-- `tx.Commit()`","-- Do the read-only ID resolution outside the transaction","+---"," ","-This reduces lock acquisitions from 3 to 1 and ensures atomicity.","+## Files to Modify"," ","+| File | Changes |","+|------|---------|","+| `internal/repository/jobCreate.go` | Fix 6: wrap TransferCachedJobToMain in transaction |","+| `internal/repository/tags.go` | Fix 7: add `BatchAddTagsDirect`; Fix 8: add `BatchImportTags`; Fix 9: transaction in RemoveTagByID |","+| `internal/api/nats.go` | Fix 7: use BatchAddTagsDirect in handleStartJob |","+| `internal/api/job.go` | Fix 7: use BatchAddTagsDirect in startJob REST handler |","+| `internal/importer/handleImport.go` | Fix 8: use BatchImportTags |","+"," ---"," ","-## Implementation Order","+## What NOT to Change"," ","-1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact","-2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change","-3. **Fix 2** (batch node states) — biggest contention reduction","-4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction","-5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation","+These are already efficient and don't need modification:","+- `UpdateDuration` — single bulk UPDATE","+- `StopJobsExceedingWalltimeBy` — single bulk UPDATE","+- `DeleteJobsBefore` — single bulk DELETE","+- Footprint worker — already transactional per cluster","+- Archiver — already chains SETs into single UPDATE via Squirrel builder","+- `UpdateUser` — admin-only, very low frequency, not worth the complexity","+- `AddUser` deprecated metrics loop — marked DEPRECATED, will be removed; not worth optimizing"," "," ---"," "," ## Verification"," ","-1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.","-2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.","-3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.","-4. Run `go test ./internal/repository/... ./internal/api/... ./internal/auth/...` after all changes.","-5. Load test: simulate burst of 100+ concurrent job start/stop events + node state update with 500 nodes + LDAP sync running simultaneously. Monitor goroutine count and memory.","+1. `go test ./internal/repository/... ./internal/api/... ./internal/importer/...`","+2. After Fix 6: verify `TransferCachedJobToMain` atomicity — stop a job that's in cache, check job table has correct ID and cache is empty","+3. After Fix 7: start a job with multiple tags via NATS — verify all tags appear, check that only 1 transaction was used (enable debug logging)","+4. After Fix 9: delete a tag via GraphQL — verify both tag and jobtag rows removed atomically"]}],"originalFile":"# Fix: SQLite Write Contention Causing OOM Crash\n\n## Context\n\nThe server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.\n\n**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.\n\nThe cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.\n\n---\n\n## Fix 1: Increase busy_timeout (contention relief)\n\n**File:** `internal/repository/dbConnection.go:73`\n\nChange `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:\n\n**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.\n\n**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.\n\n**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.\n\nWith 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.\n\n---\n\n## Fix 2: Batch Node State Updates in a Transaction\n\nCurrently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.\n\n**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:\n- Accept a slice of `(hostname, cluster, nodeState)` tuples\n- Begin transaction\n- For each node: lookup ID (or insert node), then insert state — all within the same transaction\n- Commit once\n\n**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.\n\n**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).\n\nKeep the existing `UpdateNodeState` method for single-node use cases.\n\n---\n\n## Fix 3: Fix LDAP Sync Race Condition\n\nThe LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.\n\n**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:\n```go\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n    rolesJson, _ := json.Marshal(user.Roles)\n    projectsJson, _ := json.Marshal(user.Projects)\n    cols := \"username, name, roles, projects, ldap\"\n    _, err := r.DB.Exec(\n        `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,\n        user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n    return err\n}\n```\n\n**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.\n\nNote: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.\n\n---\n\n## Fix 4: Add Semaphore for NATS Handlers\n\nWithout rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.\n\n**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:\n```go\ntype NatsAPI struct {\n    JobRepository   *repository.JobRepository\n    RepositoryMutex sync.Mutex\n    jobSem          chan struct{}\n    nodeSem         chan struct{}\n}\n```\n\nInitialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.\n\nAdd acquire/release in `handleJobEvent` and `handleNodeState`:\n```go\napi.jobSem <- struct{}{}\ndefer func() { <-api.jobSem }()\n```\n\nThis caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.\n\n---\n\n## Fix 5: Wrap SyncJobs in a Transaction\n\n**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)\n\nCurrently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:\n- `tx, err := r.DB.Beginx()`\n- Run all three operations on `tx`\n- `tx.Commit()`\n- Do the read-only ID resolution outside the transaction\n\nThis reduces lock acquisitions from 3 to 1 and ensures atomicity.\n\n---\n\n## Implementation Order\n\n1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact\n2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change\n3. **Fix 2** (batch node states) — biggest contention reduction\n4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction\n5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation\n\n---\n\n## Verification\n\n1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.\n2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.\n3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.\n4. Run `go test ./internal/repository/... ./internal/api/... ./internal/auth/...` after all changes.\n5. Load test: simulate burst of 100+ concurrent job start/stop events + node state update with 500 nodes + LDAP sync running simultaneously. Monitor goroutine count and memory.\n"},"sourceToolAssistantUUID":"b4439843-d8a6-40b1-9d71-93da5b44f966","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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+{"parentUuid":"ff4272fb-2b35-4888-84ba-79edc4101eb9","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01LJeMZ6CFgXsvqraCsnbwHD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MUQUrUB1J3djg7qn2AaGP3","name":"ExitPlanMode","input":{"allowedPrompts":[{"tool":"Bash","prompt":"run go build and go test"}],"plan":"# Additional SQLite Write Contention Reductions\n\n## Context\n\nFixes 1-5 (busy_timeout, batch node states, LDAP sync, NATS semaphores, SyncJobs transaction) are already implemented. This plan identifies **remaining** opportunities to reduce DB write pressure through transactions and batching.\n\nAfter reviewing all write paths in the codebase, most periodic tasks are already well-optimized:\n- `UpdateDuration` — single bulk UPDATE, efficient\n- `StopJobsExceedingWalltimeBy` — single bulk UPDATE, efficient\n- `DeleteJobsBefore` — single bulk DELETE, efficient\n- Footprint worker — already uses `TransactionInit/TransactionAdd/TransactionEnd` per cluster\n- Archiver — chains UpdateFootprint + UpdateEnergy + MarkArchived into single `sq.Update` statement, efficient\n\nThe remaining opportunities are in **tag operations**, **TransferCachedJobToMain**, and **job imports**.\n\n---\n\n## Fix 6: Wrap TransferCachedJobToMain in a Transaction\n\n**File:** `internal/repository/jobCreate.go:130-149`\n\nCurrently does INSERT + DELETE as two separate `r.DB.Exec()` calls. If the process crashes between them, the job_cache row is orphaned (duplicate on next SyncJobs).\n\n**Change:** Wrap both operations in a transaction:\n```go\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n    tx, err := r.DB.Beginx()\n    // INSERT INTO job ... SELECT ... FROM job_cache WHERE id = ?\n    // newID from LastInsertId\n    // DELETE FROM job_cache WHERE id = ?\n    // tx.Commit()\n}\n```\n\n**Impact:** Atomicity + 1 lock acquisition instead of 2. Called per job stop from cache path.\n\n---\n\n## Fix 7: Batch Tag Operations on Job Start (NATS + REST)\n\n**File:** `internal/api/nats.go:228-233` — loops `AddTagOrCreate` per tag\n**File:** `internal/api/job.go` — same pattern in `startJob` REST handler\n\nCurrently each tag does: SELECT tag → INSERT tag (if new) → SELECT job → INSERT jobtag → SELECT tags → archive.UpdateTags. For a job with 5 tags = 30 individual DB operations.\n\n**Change:** Add `BatchAddTagsDirect` to `internal/repository/tags.go`:\n- Accept jobID + slice of tags\n- Begin transaction\n- For each tag: resolve/create tag ID, INSERT jobtag — all within same transaction\n- Commit\n- Single archive.UpdateTags call at the end (outside transaction)\n\nThen update callers:\n- `internal/api/nats.go:228-233` — replace loop with `BatchAddTagsDirect`\n- `internal/api/job.go` (startJob REST handler) — same change\n\n**Keep** existing `AddTagOrCreate` for single-tag use cases (GraphQL, REST tag endpoint).\n\n**Impact:** N tags = 1 transaction + 1 archive update instead of N * 5 separate operations. Most impactful when scheduler sends jobs with multiple tags.\n\n---\n\n## Fix 8: Batch Tag Imports\n\n**File:** `internal/importer/handleImport.go:111-116` — loops `ImportTag` per tag per job\n\nCurrently each tag does: SELECT tag → INSERT tag (if new) → INSERT jobtag. For 100 jobs with 3 tags each = 600+ individual operations.\n\n**Change:** Add `BatchImportTags` to `internal/repository/tags.go`:\n- Accept jobID + slice of (type, name, scope)\n- Begin transaction\n- For each tag: resolve/create tag ID + INSERT jobtag\n- Commit\n\nUpdate `handleImport.go` to call `BatchImportTags` instead of the loop.\n\n**Impact:** Reduces lock acquisitions from 2*N to 1 per job's tags during import. Import is a startup-only operation but can be long-running for large archives.\n\n---\n\n## Fix 9: Wrap RemoveTagByID in a Transaction\n\n**File:** `internal/repository/tags.go:216-244`\n\nCurrently does DELETE FROM jobtag + DELETE FROM tag as two separate operations. If the second fails, jobtag rows are gone but the orphaned tag row remains.\n\n**Change:**\n```go\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n    jobIds, err := r.FindJobIdsByTag(tagID)\n    // ...\n    tx, err := r.DB.Beginx()\n    defer tx.Rollback()\n    // DELETE FROM jobtag WHERE tag_id = ?  (on tx)\n    // DELETE FROM tag WHERE id = ?  (on tx)\n    tx.Commit()\n    go r.removeTagFromArchiveJobs(jobIds)\n}\n```\n\n**Impact:** Atomicity for tag deletion. Low frequency (admin operation) but prevents orphaned data.\n\n---\n\n## Implementation Order\n\n1. **Fix 6** (TransferCachedJobToMain) — trivial, fixes a real atomicity bug\n2. **Fix 7** (batch tags on job start) — biggest remaining contention reduction for NATS path\n3. **Fix 8** (batch tag imports) — only affects import, but easy once Fix 7 pattern exists\n4. **Fix 9** (RemoveTagByID transaction) — minor, correctness improvement\n\n---\n\n## Files to Modify\n\n| File | Changes |\n|------|---------|\n| `internal/repository/jobCreate.go` | Fix 6: wrap TransferCachedJobToMain in transaction |\n| `internal/repository/tags.go` | Fix 7: add `BatchAddTagsDirect`; Fix 8: add `BatchImportTags`; Fix 9: transaction in RemoveTagByID |\n| `internal/api/nats.go` | Fix 7: use BatchAddTagsDirect in handleStartJob |\n| `internal/api/job.go` | Fix 7: use BatchAddTagsDirect in startJob REST handler |\n| `internal/importer/handleImport.go` | Fix 8: use BatchImportTags |\n\n---\n\n## What NOT to Change\n\nThese are already efficient and don't need modification:\n- `UpdateDuration` — single bulk UPDATE\n- `StopJobsExceedingWalltimeBy` — single bulk UPDATE\n- `DeleteJobsBefore` — single bulk DELETE\n- Footprint worker — already transactional per cluster\n- Archiver — already chains SETs into single UPDATE via Squirrel builder\n- `UpdateUser` — admin-only, very low frequency, not worth the complexity\n- `AddUser` deprecated metrics loop — marked DEPRECATED, will be removed; not worth optimizing\n\n---\n\n## Verification\n\n1. `go test ./internal/repository/... ./internal/api/... ./internal/importer/...`\n2. After Fix 6: verify `TransferCachedJobToMain` atomicity — stop a job that's in cache, check job table has correct ID and cache is empty\n3. After Fix 7: start a job with multiple tags via NATS — verify all tags appear, check that only 1 transaction was used (enable debug logging)\n4. 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Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\treturn newID, nil\n}","newString":"// TransferCachedJobToMain moves a job from job_cache to the job table.\n// Caller must hold r.Mutex. Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"TransferCachedJobToMain: begin transaction: %w\", err)\n\t}\n\tdefer tx.Rollback()\n\n\tres, err := tx.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = tx.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\treturn 0, fmt.Errorf(\"TransferCachedJobToMain: commit: %w\", err)\n\t}\n\n\treturn newID, nil\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"encoding/json\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst NamedJobCacheInsert string = `INSERT INTO job_cache (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n);`\n\nconst NamedJobInsert string = `INSERT INTO job (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n  :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint,  :energy, :energy_footprint, :resources, :meta_data\n);`\n\n// InsertJobDirect inserts a job directly into the job table (not job_cache).\n// Use this when the returned ID will be used for operations on the job table\n// (e.g., adding tags), or for imported jobs that are already completed.\nfunc (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Transfer cached jobs to main table and clear cache in a single transaction.\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer tx.Rollback()\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = tx.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}\n\n// TransferCachedJobToMain moves a job from job_cache to the job table.\n// Caller must hold r.Mutex. Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\treturn newID, nil\n}\n\n// Start inserts a new job in the table, returning the unique job ID.\n// Statistics are not transfered!\nfunc (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJob(job)\n}\n\n// StartDirect inserts a new job directly into the job table (not job_cache).\n// Use this when the returned ID will immediately be used for job table\n// operations such as adding tags.\nfunc (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJobDirect(job)\n}\n\n// Stop updates the job with the database id jobId using the provided arguments.\nfunc (r *JobRepository) Stop(\n\tjobID int64,\n\tduration int32,\n\tstate schema.JobState,\n\tmonitoringStatus int32,\n) (err error) {\n\t// Invalidate cache entries as job state is changing\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n\n\tstmt := sq.Update(\"job\").\n\t\tSet(\"job_state\", state).\n\t\tSet(\"duration\", duration).\n\t\tSet(\"monitoring_status\", monitoringStatus).\n\t\tWhere(\"job.id = ?\", jobID)\n\n\t_, err = stmt.RunWith(r.stmtCache).Exec()\n\treturn err\n}\n","structuredPatch":[{"oldStart":141,"oldLines":7,"newStart":141,"newLines":13,"lines":[" // TransferCachedJobToMain moves a job from job_cache to the job table."," // Caller must hold r.Mutex. Returns the new job table ID."," func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {","-  res, err := r.DB.Exec(","+  tx, err := r.DB.Beginx()","+  if err != nil {","+    return 0, fmt.Errorf(\"TransferCachedJobToMain: begin transaction: %w\", err)","+  }","+  defer tx.Rollback()","+","+  res, err := tx.Exec(","     \"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",","     cacheID)","   if err != nil {"]},{"oldStart":153,"oldLines":11,"newStart":159,"newLines":15,"lines":["     return 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)","   }"," ","-  _, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)","+  _, err = tx.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)","   if err != nil {","     return 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)","   }"," ","+  if err := tx.Commit(); err != nil {","+    return 0, fmt.Errorf(\"TransferCachedJobToMain: commit: %w\", err)","+  }","+","   return newID, nil"," }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"122536c7-4640-495c-9256-d583b5a41625","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"}
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diff --git a/d4/f6c79a8dc1/0/metadata.json b/d4/f6c79a8dc1/0/metadata.json
new file mode 100644
index 00000000..d517a4a3
--- /dev/null
+++ b/d4/f6c79a8dc1/0/metadata.json
@@ -0,0 +1,35 @@
+{
+  "cli_version": "0.5.0",
+  "checkpoint_id": "d4f6c79a8dc1",
+  "session_id": "3a41c7a4-abf8-484b-96ae-ee5618eea5ba",
+  "strategy": "manual-commit",
+  "created_at": "2026-03-16T10:25:50.468066Z",
+  "branch": "hotfix",
+  "checkpoints_count": 1,
+  "files_touched": [
+    "internal/repository/jobCreate.go"
+  ],
+  "agent": "Claude Code",
+  "turn_id": "34b49c8eef09",
+  "checkpoint_transcript_start": 101,
+  "transcript_lines_at_start": 101,
+  "token_usage": {
+    "input_tokens": 19,
+    "cache_creation_tokens": 48587,
+    "cache_read_tokens": 1390139,
+    "output_tokens": 5778,
+    "api_call_count": 13
+  },
+  "session_metrics": {
+    "turn_count": 2
+  },
+  "initial_attribution": {
+    "calculated_at": "2026-03-16T10:25:49.994062Z",
+    "agent_lines": 12,
+    "human_added": 0,
+    "human_modified": 0,
+    "human_removed": 0,
+    "total_committed": 12,
+    "agent_percentage": 100
+  }
+}
diff --git a/d4/f6c79a8dc1/0/prompt.txt b/d4/f6c79a8dc1/0/prompt.txt
new file mode 100644
index 00000000..e652589d
--- /dev/null
+++ b/d4/f6c79a8dc1/0/prompt.txt
@@ -0,0 +1 @@
+Are there other opportunities to reduce the insert pressure on the db using transactions or other techniques?
\ No newline at end of file
diff --git a/d4/f6c79a8dc1/metadata.json b/d4/f6c79a8dc1/metadata.json
new file mode 100644
index 00000000..3a035aed
--- /dev/null
+++ b/d4/f6c79a8dc1/metadata.json
@@ -0,0 +1,25 @@
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+  "cli_version": "0.5.0",
+  "checkpoint_id": "d4f6c79a8dc1",
+  "strategy": "manual-commit",
+  "branch": "hotfix",
+  "checkpoints_count": 1,
+  "files_touched": [
+    "internal/repository/jobCreate.go"
+  ],
+  "sessions": [
+    {
+      "metadata": "/d4/f6c79a8dc1/0/metadata.json",
+      "transcript": "/d4/f6c79a8dc1/0/full.jsonl",
+      "content_hash": "/d4/f6c79a8dc1/0/content_hash.txt",
+      "prompt": "/d4/f6c79a8dc1/0/prompt.txt"
+    }
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+  "token_usage": {
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+    "cache_creation_tokens": 48587,
+    "cache_read_tokens": 1390139,
+    "output_tokens": 5778,
+    "api_call_count": 13
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+}
diff --git a/e5/83b7b11439/0/content_hash.txt b/e5/83b7b11439/0/content_hash.txt
new file mode 100644
index 00000000..7d1604e2
--- /dev/null
+++ b/e5/83b7b11439/0/content_hash.txt
@@ -0,0 +1 @@
+sha256:d746bdb4203f1e02542538c38e0c6382356106e6b23c9d3c1ac52c8dce704160
\ No newline at end of file
diff --git a/e5/83b7b11439/0/full.jsonl b/e5/83b7b11439/0/full.jsonl
new file mode 100644
index 00000000..7d8fa2d1
--- /dev/null
+++ b/e5/83b7b11439/0/full.jsonl
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+{"parentUuid":"6e47e120-4d61-402d-a1b3-1f979008a883","isSidechain":false,"promptId":"53f7aeff-f280-4fa6-a195-55ff40087d7e","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Fix WAL Channel Saturation (3M+ messages dropped)\n\n## Context\n\nAfter the initial slow-consumer fixes (multi-worker decode, non-blocking WAL send, 65K channel buffer, 256-batch drain), the WAL channel is still permanently full. 3M+ messages are being dropped — the single `WALStaging` goroutine fundamentally cannot keep up with `NumWorkers` concurrent decode goroutines producing WAL messages.\n\n## Root Cause\n\nThe single `WALStaging` goroutine is the bottleneck. For every message it must:\n1. `path.Join()` to build hostDir string — **allocates**\n2. Map lookup in `hostFiles`\n3. `buildWALPayload()` — **allocates a new `[]byte`** per message\n4. `writeWALRecord()` — **allocates another `[]byte`** (record = magic+len+payload+crc)\n5. `bufio.Write()` — copies into buffer, occasionally flushes to disk\n\nWith `NumWorkers` producers (e.g., 5-10 goroutines) each decoding batches of metrics, the single consumer cannot match. The 65K channel buffer fills in seconds, then every message is dropped.\n\n## Plan: Sharded WAL Writers\n\nReplace the single `WALStaging` goroutine with **N sharded writer goroutines**, each owning a subset of hosts. Messages are routed to shards by hashing `cluster+node`. This:\n- Parallelizes serialization and I/O across goroutines\n- Keeps per-host writes serial (required for correct WAL files)\n- Eliminates the single-goroutine bottleneck entirely\n\nAdditionally, eliminate per-message heap allocations in `buildWALPayload`/`writeWALRecord` by encoding directly into the `bufio.Writer`.\n\n### Change 1: Sharded WAL writer goroutines\n**File:** `pkg/metricstore/walCheckpoint.go`\n\nReplace the single `WALMessages` channel + `WALStaging()` goroutine with:\n\n```go\nconst walShards = 16  // or NumWorkers\n\n// Per-shard channel + goroutine\nvar walShardChs []chan *WALMessage\n\nfunc walShard(msg *WALMessage) int {\n    // FNV-1a hash of cluster+node, mod shard count\n    h := fnv.New32a()\n    h.Write([]byte(msg.Cluster))\n    h.Write([]byte{0})\n    h.Write([]byte(msg.Node))\n    return int(h.Sum32()) % len(walShardChs)\n}\n```\n\nEach shard goroutine:\n- Owns its own `hostFiles` map (no contention)\n- Drains its channel with the existing batch-drain pattern\n- Handles rotate requests for its hosts\n\n**Shard count:** Use `NumWorkers` (already configured, sensible default).\n\n**Channel buffer per shard:** `65536 / numShards` — same total memory, but each shard only buffers its hosts.\n\n### Change 2: Eliminate per-message allocations\n**File:** `pkg/metricstore/walCheckpoint.go`\n\nReplace `buildWALPayload()` → `writeWALRecord()` (2 allocations per message) with `writeWALRecordDirect(w *bufio.Writer, msg *WALMessage)` that encodes directly into the `bufio.Writer` using a small stack-allocated scratch buffer:\n\n```go\nfunc writeWALRecordDirect(w *bufio.Writer, msg *WALMessage) error {\n    // Build payload into a pooled or stack buffer, compute CRC inline,\n    // write magic+len, then payload, then CRC — all directly to w.\n    // Zero heap allocations in the hot path.\n    var scratch [128]byte  // stack-allocated, covers most records\n    // ... encode payload into scratch or a pooled []byte if >128 ...\n}\n```\n\nKeep the old `writeWALRecord`/`buildWALPayload` for use in tests or non-hot paths, but the shard goroutines use the direct version.\n\n### Change 3: Route WAL sends to shards from DecodeLine\n**File:** `pkg/metricstore/lineprotocol.go:355-372`\n\nReplace:\n```go\nselect {\ncase WALMessages <- msg:\ndefault:\n    // dropped\n}\n```\nWith:\n```go\nshard := walShard(msg)\nselect {\ncase walShardChs[shard] <- msg:\ndefault:\n    // dropped\n}\n```\n\n### Change 4: Shard-aware rotation\n**File:** `pkg/metricstore/walCheckpoint.go`\n\n`RotateWALFiles` must send rotate requests to the correct shard. Each shard has its own `walRotateCh`. The checkpoint goroutine hashes the hostDir to find the right shard and sends the rotate request there.\n\n### Change 5: Shutdown\n**File:** `pkg/metricstore/metricstore.go` (Shutdown function)\n\nClose all shard channels instead of the single `WALMessages` channel. Each shard goroutine drains and flushes on close.\n\n## Files to Modify\n\n- `pkg/metricstore/walCheckpoint.go` — sharded goroutines, direct record writing, shard-aware rotation\n- `pkg/metricstore/lineprotocol.go` — route WAL sends to shard channels\n- `pkg/metricstore/metricstore.go` — `WALStaging()` call updated, `Shutdown()` closes shard channels\n\n## Verification\n\n1. `go build ./...`\n2. `go test ./pkg/metricstore/...`\n3. Deploy and verify:\n   - WAL drop count stays at 0 (or near-zero during extreme bursts)\n   - WAL files are correct (load a checkpoint, verify data)\n   - No \"WAL channel full\" log messages\n   - Memory usage roughly same (total channel buffer size unchanged)\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/5eb20a94-f8df-4979-a0ae-2aa99bfad884.jsonl"},"uuid":"e61b6d31-15d1-4b25-a4d5-dc4c0ddd1260","timestamp":"2026-03-18T05:29:19.088Z","planContent":"# Fix WAL Channel Saturation (3M+ messages dropped)\n\n## Context\n\nAfter the initial slow-consumer fixes (multi-worker decode, non-blocking WAL send, 65K channel buffer, 256-batch drain), the WAL channel is still permanently full. 3M+ messages are being dropped — the single `WALStaging` goroutine fundamentally cannot keep up with `NumWorkers` concurrent decode goroutines producing WAL messages.\n\n## Root Cause\n\nThe single `WALStaging` goroutine is the bottleneck. For every message it must:\n1. `path.Join()` to build hostDir string — **allocates**\n2. Map lookup in `hostFiles`\n3. `buildWALPayload()` — **allocates a new `[]byte`** per message\n4. `writeWALRecord()` — **allocates another `[]byte`** (record = magic+len+payload+crc)\n5. `bufio.Write()` — copies into buffer, occasionally flushes to disk\n\nWith `NumWorkers` producers (e.g., 5-10 goroutines) each decoding batches of metrics, the single consumer cannot match. The 65K channel buffer fills in seconds, then every message is dropped.\n\n## Plan: Sharded WAL Writers\n\nReplace the single `WALStaging` goroutine with **N sharded writer goroutines**, each owning a subset of hosts. Messages are routed to shards by hashing `cluster+node`. This:\n- Parallelizes serialization and I/O across goroutines\n- Keeps per-host writes serial (required for correct WAL files)\n- Eliminates the single-goroutine bottleneck entirely\n\nAdditionally, eliminate per-message heap allocations in `buildWALPayload`/`writeWALRecord` by encoding directly into the `bufio.Writer`.\n\n### Change 1: Sharded WAL writer goroutines\n**File:** `pkg/metricstore/walCheckpoint.go`\n\nReplace the single `WALMessages` channel + `WALStaging()` goroutine with:\n\n```go\nconst walShards = 16  // or NumWorkers\n\n// Per-shard channel + goroutine\nvar walShardChs []chan *WALMessage\n\nfunc walShard(msg *WALMessage) int {\n    // FNV-1a hash of cluster+node, mod shard count\n    h := fnv.New32a()\n    h.Write([]byte(msg.Cluster))\n    h.Write([]byte{0})\n    h.Write([]byte(msg.Node))\n    return int(h.Sum32()) % len(walShardChs)\n}\n```\n\nEach shard goroutine:\n- Owns its own `hostFiles` map (no contention)\n- Drains its channel with the existing batch-drain pattern\n- Handles rotate requests for its hosts\n\n**Shard count:** Use `NumWorkers` (already configured, sensible default).\n\n**Channel buffer per shard:** `65536 / numShards` — same total memory, but each shard only buffers its hosts.\n\n### Change 2: Eliminate per-message allocations\n**File:** `pkg/metricstore/walCheckpoint.go`\n\nReplace `buildWALPayload()` → `writeWALRecord()` (2 allocations per message) with `writeWALRecordDirect(w *bufio.Writer, msg *WALMessage)` that encodes directly into the `bufio.Writer` using a small stack-allocated scratch buffer:\n\n```go\nfunc writeWALRecordDirect(w *bufio.Writer, msg *WALMessage) error {\n    // Build payload into a pooled or stack buffer, compute CRC inline,\n    // write magic+len, then payload, then CRC — all directly to w.\n    // Zero heap allocations in the hot path.\n    var scratch [128]byte  // stack-allocated, covers most records\n    // ... encode payload into scratch or a pooled []byte if >128 ...\n}\n```\n\nKeep the old `writeWALRecord`/`buildWALPayload` for use in tests or non-hot paths, but the shard goroutines use the direct version.\n\n### Change 3: Route WAL sends to shards from DecodeLine\n**File:** `pkg/metricstore/lineprotocol.go:355-372`\n\nReplace:\n```go\nselect {\ncase WALMessages <- msg:\ndefault:\n    // dropped\n}\n```\nWith:\n```go\nshard := walShard(msg)\nselect {\ncase walShardChs[shard] <- msg:\ndefault:\n    // dropped\n}\n```\n\n### Change 4: Shard-aware rotation\n**File:** `pkg/metricstore/walCheckpoint.go`\n\n`RotateWALFiles` must send rotate requests to the correct shard. Each shard has its own `walRotateCh`. The checkpoint goroutine hashes the hostDir to find the right shard and sends the rotate request there.\n\n### Change 5: Shutdown\n**File:** `pkg/metricstore/metricstore.go` (Shutdown function)\n\nClose all shard channels instead of the single `WALMessages` channel. Each shard goroutine drains and flushes on close.\n\n## Files to Modify\n\n- `pkg/metricstore/walCheckpoint.go` — sharded goroutines, direct record writing, shard-aware rotation\n- `pkg/metricstore/lineprotocol.go` — route WAL sends to shard channels\n- `pkg/metricstore/metricstore.go` — `WALStaging()` call updated, `Shutdown()` closes shard channels\n\n## Verification\n\n1. `go build ./...`\n2. `go test ./pkg/metricstore/...`\n3. 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This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n     7→//\n     8→// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n     9→// per host, eliminating the extra memory overhead of the AvroStore and providing\n    10→// truly continuous (per-write) crash safety.\n    11→//\n    12→// # Architecture\n    13→//\n    14→//\tMetric write (DecodeLine)\n    15→//\t      │\n    16→//\t      ├─► WriteToLevel()    → main MemoryStore (unchanged)\n    17→//\t      │\n    18→//\t      └─► WALMessages channel\n    19→//\t               │\n    20→//\t               ▼\n    21→//\t        WALStaging goroutine\n    22→//\t               │\n    23→//\t               ▼\n    24→//\t        checkpoints/cluster/host/current.wal  (append-only, binary)\n    25→//\n    26→//\tPeriodic checkpoint (Checkpointing goroutine):\n    27→//\t  1. Write <timestamp>.bin snapshot (column-oriented, from main tree)\n    28→//\t  2. Signal WALStaging to truncate current.wal per host\n    29→//\n    30→//\tOn restart (FromCheckpoint):\n    31→//\t  1. Load most recent <timestamp>.bin snapshot\n    32→//\t  2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n    33→//\n    34→// # WAL Record Format\n    35→//\n    36→//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n    37→//\n    38→//\tpayload:\n    39→//\t  [8B timestamp int64]\n    40→//\t  [2B metric_name_len uint16][N metric name bytes]\n    41→//\t  [1B selector_count uint8]\n    42→//\t  per selector: [1B selector_len uint8][M selector bytes]\n    43→//\t  [4B value float32 bits]\n    44→//\n    45→// # Binary Snapshot Format\n    46→//\n    47→//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n    48→//\tLevel tree (recursive):\n    49→//\t  [4B num_metrics uint32]\n    50→//\t  per metric:\n    51→//\t    [2B name_len uint16][N name bytes]\n    52→//\t    [8B frequency int64][8B start int64]\n    53→//\t    [4B num_values uint32][num_values × 4B float32]\n    54→//\t  [4B num_children uint32]\n    55→//\t  per child: [2B name_len uint16][N name bytes] + Level (recursive)\n    56→package metricstore\n    57→\n    58→import (\n    59→\t\"bufio\"\n    60→\t\"context\"\n    61→\t\"encoding/binary\"\n    62→\t\"fmt\"\n    63→\t\"hash/crc32\"\n    64→\t\"io\"\n    65→\t\"math\"\n    66→\t\"os\"\n    67→\t\"path\"\n    68→\t\"strings\"\n    69→\t\"sync\"\n    70→\t\"sync/atomic\"\n    71→\n    72→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    73→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    74→)\n    75→\n    76→// Magic numbers for binary formats.\n    77→const (\n    78→\twalFileMagic   = uint32(0xCC1DA701) // WAL file header magic\n    79→\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n    80→\tsnapFileMagic  = uint32(0xCC5B0001) // Binary snapshot magic\n    81→)\n    82→\n    83→// WALMessages is the channel for sending metric writes to the WAL staging goroutine.\n    84→// Buffered to allow burst writes without blocking the metric ingestion path.\n    85→var WALMessages = make(chan *WALMessage, 65536)\n    86→\n    87→// walRotateCh is used by the checkpoint goroutine to request WAL file rotation\n    88→// (close, delete, reopen) after a binary snapshot has been written.\n    89→var walRotateCh = make(chan walRotateReq, 256)\n    90→\n    91→// WALMessage represents a single metric write to be appended to the WAL.\n    92→// Cluster and Node are NOT stored in the WAL record (inferred from file path).\n    93→type WALMessage struct {\n    94→\tMetricName string\n    95→\tCluster    string\n    96→\tNode       string\n    97→\tSelector   []string\n    98→\tValue      schema.Float\n    99→\tTimestamp  int64\n   100→}\n   101→\n   102→// walRotateReq requests WAL file rotation for a specific host directory.\n   103→// The done channel is closed by the WAL goroutine when rotation is complete.\n   104→type walRotateReq struct {\n   105→\thostDir string\n   106→\tdone    chan struct{}\n   107→}\n   108→\n   109→// walFileState holds an open WAL file handle and buffered writer for one host directory.\n   110→type walFileState struct {\n   111→\tf *os.File\n   112→\tw *bufio.Writer\n   113→}\n   114→\n   115→// WALStaging starts a background goroutine that receives WALMessage items\n   116→// and appends binary WAL records to per-host current.wal files.\n   117→// Also handles WAL rotation requests from the checkpoint goroutine.\n   118→func WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n   119→\twg.Go(func() {\n   120→\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n   121→\t\t\treturn\n   122→\t\t}\n   123→\n   124→\t\thostFiles := make(map[string]*walFileState)\n   125→\n   126→\t\tdefer func() {\n   127→\t\t\tfor _, ws := range hostFiles {\n   128→\t\t\t\tif ws.f != nil {\n   129→\t\t\t\t\tws.w.Flush()\n   130→\t\t\t\t\tws.f.Close()\n   131→\t\t\t\t}\n   132→\t\t\t}\n   133→\t\t}()\n   134→\n   135→\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n   136→\t\t\tws, ok := hostFiles[hostDir]\n   137→\t\t\tif ok {\n   138→\t\t\t\treturn ws\n   139→\t\t\t}\n   140→\n   141→\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n   142→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n   143→\t\t\t\treturn nil\n   144→\t\t\t}\n   145→\n   146→\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n   147→\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n   148→\t\t\tif err != nil {\n   149→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n   150→\t\t\t\treturn nil\n   151→\t\t\t}\n   152→\n   153→\t\t\tw := bufio.NewWriter(f)\n   154→\n   155→\t\t\t// Write file header magic if file is new (empty).\n   156→\t\t\tinfo, err := f.Stat()\n   157→\t\t\tif err == nil && info.Size() == 0 {\n   158→\t\t\t\tvar hdr [4]byte\n   159→\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n   160→\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n   161→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n   162→\t\t\t\t\tf.Close()\n   163→\t\t\t\t\treturn nil\n   164→\t\t\t\t}\n   165→\t\t\t}\n   166→\n   167→\t\t\tws = &walFileState{f: f, w: w}\n   168→\t\t\thostFiles[hostDir] = ws\n   169→\t\t\treturn ws\n   170→\t\t}\n   171→\n   172→\t\tprocessMsg := func(msg *WALMessage) {\n   173→\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n   174→\t\t\tws := getOrOpenWAL(hostDir)\n   175→\t\t\tif ws == nil {\n   176→\t\t\t\treturn\n   177→\t\t\t}\n   178→\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n   179→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n   180→\t\t\t}\n   181→\t\t}\n   182→\n   183→\t\tprocessRotate := func(req walRotateReq) {\n   184→\t\t\tws, ok := hostFiles[req.hostDir]\n   185→\t\t\tif ok && ws.f != nil {\n   186→\t\t\t\tws.w.Flush()\n   187→\t\t\t\tws.f.Close()\n   188→\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n   189→\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n   190→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n   191→\t\t\t\t}\n   192→\t\t\t\tdelete(hostFiles, req.hostDir)\n   193→\t\t\t}\n   194→\t\t\tclose(req.done)\n   195→\t\t}\n   196→\n   197→\t\tdrain := func() {\n   198→\t\t\tfor {\n   199→\t\t\t\tselect {\n   200→\t\t\t\tcase msg, ok := <-WALMessages:\n   201→\t\t\t\t\tif !ok {\n   202→\t\t\t\t\t\treturn\n   203→\t\t\t\t\t}\n   204→\t\t\t\t\tprocessMsg(msg)\n   205→\t\t\t\tcase req := <-walRotateCh:\n   206→\t\t\t\t\tprocessRotate(req)\n   207→\t\t\t\tdefault:\n   208→\t\t\t\t\t// Flush all buffered writers after draining remaining messages.\n   209→\t\t\t\t\tfor _, ws := range hostFiles {\n   210→\t\t\t\t\t\tif ws.f != nil {\n   211→\t\t\t\t\t\t\tws.w.Flush()\n   212→\t\t\t\t\t\t}\n   213→\t\t\t\t\t}\n   214→\t\t\t\t\treturn\n   215→\t\t\t\t}\n   216→\t\t\t}\n   217→\t\t}\n   218→\n   219→\t\tfor {\n   220→\t\t\tselect {\n   221→\t\t\tcase <-ctx.Done():\n   222→\t\t\t\tdrain()\n   223→\t\t\t\treturn\n   224→\t\t\tcase msg, ok := <-WALMessages:\n   225→\t\t\t\tif !ok {\n   226→\t\t\t\t\treturn\n   227→\t\t\t\t}\n   228→\t\t\t\tprocessMsg(msg)\n   229→\n   230→\t\t\t\t// Drain up to 256 more messages without blocking to batch writes.\n   231→\t\t\t\tfor range 256 {\n   232→\t\t\t\t\tselect {\n   233→\t\t\t\t\tcase msg, ok := <-WALMessages:\n   234→\t\t\t\t\t\tif !ok {\n   235→\t\t\t\t\t\t\treturn\n   236→\t\t\t\t\t\t}\n   237→\t\t\t\t\t\tprocessMsg(msg)\n   238→\t\t\t\t\tcase req := <-walRotateCh:\n   239→\t\t\t\t\t\tprocessRotate(req)\n   240→\t\t\t\t\tdefault:\n   241→\t\t\t\t\t\tgoto flushed\n   242→\t\t\t\t\t}\n   243→\t\t\t\t}\n   244→\t\t\tflushed:\n   245→\t\t\t\t// Flush all buffered writers after processing the batch.\n   246→\t\t\t\tfor _, ws := range hostFiles {\n   247→\t\t\t\t\tif ws.f != nil {\n   248→\t\t\t\t\t\tws.w.Flush()\n   249→\t\t\t\t\t}\n   250→\t\t\t\t}\n   251→\t\t\tcase req := <-walRotateCh:\n   252→\t\t\t\tprocessRotate(req)\n   253→\t\t\t}\n   254→\t\t}\n   255→\t})\n   256→}\n   257→\n   258→// RotateWALFiles sends rotation requests for the given host directories\n   259→// and blocks until all rotations complete.\n   260→func RotateWALFiles(hostDirs []string) {\n   261→\tdones := make([]chan struct{}, len(hostDirs))\n   262→\tfor i, dir := range hostDirs {\n   263→\t\tdones[i] = make(chan struct{})\n   264→\t\twalRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}\n   265→\t}\n   266→\tfor _, done := range dones {\n   267→\t\t<-done\n   268→\t}\n   269→}\n   270→\n   271→// RotateWALFiles sends rotation requests for the given host directories\n   272→// and blocks until all rotations complete.\n   273→func RotateWALFilesAfterShutdown(hostDirs []string) {\n   274→\tfor _, dir := range hostDirs {\n   275→\t\twalPath := path.Join(dir, \"current.wal\")\n   276→\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n   277→\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n   278→\t\t}\n   279→\t}\n   280→}\n   281→\n   282→// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\n   283→func buildWALPayload(msg *WALMessage) []byte {\n   284→\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n   285→\tfor _, s := range msg.Selector {\n   286→\t\tsize += 1 + len(s)\n   287→\t}\n   288→\n   289→\tbuf := make([]byte, 0, size)\n   290→\n   291→\t// Timestamp (8 bytes, little-endian int64)\n   292→\tvar ts [8]byte\n   293→\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n   294→\tbuf = append(buf, ts[:]...)\n   295→\n   296→\t// Metric name (2-byte length prefix + bytes)\n   297→\tvar mLen [2]byte\n   298→\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n   299→\tbuf = append(buf, mLen[:]...)\n   300→\tbuf = append(buf, msg.MetricName...)\n   301→\n   302→\t// Selector count (1 byte)\n   303→\tbuf = append(buf, byte(len(msg.Selector)))\n   304→\n   305→\t// Selectors (1-byte length prefix + bytes each)\n   306→\tfor _, sel := range msg.Selector {\n   307→\t\tbuf = append(buf, byte(len(sel)))\n   308→\t\tbuf = append(buf, sel...)\n   309→\t}\n   310→\n   311→\t// Value (4 bytes, float32 bit representation)\n   312→\tvar val [4]byte\n   313→\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n   314→\tbuf = append(buf, val[:]...)\n   315→\n   316→\treturn buf\n   317→}\n   318→\n   319→// writeWALRecord appends a binary WAL record to the writer.\n   320→// Format: [4B magic][4B payload_len][payload][4B CRC32]\n   321→func writeWALRecord(w io.Writer, msg *WALMessage) error {\n   322→\tpayload := buildWALPayload(msg)\n   323→\tcrc := crc32.ChecksumIEEE(payload)\n   324→\n   325→\trecord := make([]byte, 0, 4+4+len(payload)+4)\n   326→\n   327→\tvar magic [4]byte\n   328→\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n   329→\trecord = append(record, magic[:]...)\n   330→\n   331→\tvar pLen [4]byte\n   332→\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n   333→\trecord = append(record, pLen[:]...)\n   334→\n   335→\trecord = append(record, payload...)\n   336→\n   337→\tvar crcBytes [4]byte\n   338→\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n   339→\trecord = append(record, crcBytes[:]...)\n   340→\n   341→\t_, err := w.Write(record)\n   342→\treturn err\n   343→}\n   344→\n   345→// readWALRecord reads one WAL record from the reader.\n   346→// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n   347→// A CRC mismatch indicates a truncated trailing record (expected on crash).\n   348→func readWALRecord(r io.Reader) (*WALMessage, error) {\n   349→\tvar magic uint32\n   350→\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n   351→\t\tif err == io.EOF {\n   352→\t\t\treturn nil, nil // Clean EOF\n   353→\t\t}\n   354→\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n   355→\t}\n   356→\n   357→\tif magic != walRecordMagic {\n   358→\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n   359→\t}\n   360→\n   361→\tvar payloadLen uint32\n   362→\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n   363→\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n   364→\t}\n   365→\n   366→\tif payloadLen > 1<<20 { // 1 MB sanity limit\n   367→\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n   368→\t}\n   369→\n   370→\tpayload := make([]byte, payloadLen)\n   371→\tif _, err := io.ReadFull(r, payload); err != nil {\n   372→\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n   373→\t}\n   374→\n   375→\tvar storedCRC uint32\n   376→\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n   377→\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n   378→\t}\n   379→\n   380→\tif crc32.ChecksumIEEE(payload) != storedCRC {\n   381→\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n   382→\t}\n   383→\n   384→\treturn parseWALPayload(payload)\n   385→}\n   386→\n   387→// parseWALPayload decodes a binary payload into a WALMessage.\n   388→func parseWALPayload(payload []byte) (*WALMessage, error) {\n   389→\tif len(payload) < 8+2+1+4 {\n   390→\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n   391→\t}\n   392→\n   393→\toffset := 0\n   394→\n   395→\t// Timestamp (8 bytes)\n   396→\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n   397→\toffset += 8\n   398→\n   399→\t// Metric name (2-byte length + bytes)\n   400→\tif offset+2 > len(payload) {\n   401→\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n   402→\t}\n   403→\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n   404→\toffset += 2\n   405→\n   406→\tif offset+mLen > len(payload) {\n   407→\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n   408→\t}\n   409→\tmetricName := string(payload[offset : offset+mLen])\n   410→\toffset += mLen\n   411→\n   412→\t// Selector count (1 byte)\n   413→\tif offset >= len(payload) {\n   414→\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n   415→\t}\n   416→\tselCount := int(payload[offset])\n   417→\toffset++\n   418→\n   419→\tselectors := make([]string, selCount)\n   420→\tfor i := range selCount {\n   421→\t\tif offset >= len(payload) {\n   422→\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n   423→\t\t}\n   424→\t\tsLen := int(payload[offset])\n   425→\t\toffset++\n   426→\n   427→\t\tif offset+sLen > len(payload) {\n   428→\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n   429→\t\t}\n   430→\t\tselectors[i] = string(payload[offset : offset+sLen])\n   431→\t\toffset += sLen\n   432→\t}\n   433→\n   434→\t// Value (4 bytes, float32 bits)\n   435→\tif offset+4 > len(payload) {\n   436→\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n   437→\t}\n   438→\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n   439→\tvalue := schema.Float(math.Float32frombits(bits))\n   440→\n   441→\treturn &WALMessage{\n   442→\t\tMetricName: metricName,\n   443→\t\tTimestamp:  ts,\n   444→\t\tSelector:   selectors,\n   445→\t\tValue:      value,\n   446→\t}, nil\n   447→}\n   448→\n   449→// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n   450→// l is the host-level node. Corrupt or partial trailing records are silently skipped\n   451→// (expected on crash). Records older than 'from' are skipped.\n   452→func (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n   453→\tbr := bufio.NewReader(f)\n   454→\n   455→\t// Verify file header magic.\n   456→\tvar fileMagic uint32\n   457→\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n   458→\t\tif err == io.EOF {\n   459→\t\t\treturn nil // Empty file, no data\n   460→\t\t}\n   461→\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n   462→\t}\n   463→\n   464→\tif fileMagic != walFileMagic {\n   465→\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n   466→\t}\n   467→\n   468→\t// Cache level lookups to avoid repeated tree traversal.\n   469→\tlvlCache := make(map[string]*Level)\n   470→\n   471→\tfor {\n   472→\t\tmsg, err := readWALRecord(br)\n   473→\t\tif err != nil {\n   474→\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n   475→\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n   476→\t\t\tbreak\n   477→\t\t}\n   478→\t\tif msg == nil {\n   479→\t\t\tbreak // Clean EOF\n   480→\t\t}\n   481→\n   482→\t\tif msg.Timestamp < from {\n   483→\t\t\tcontinue // Older than retention window\n   484→\t\t}\n   485→\n   486→\t\tminfo, ok := m.Metrics[msg.MetricName]\n   487→\t\tif !ok {\n   488→\t\t\tcontinue // Unknown metric (config may have changed)\n   489→\t\t}\n   490→\n   491→\t\t// Cache key is the null-separated selector path.\n   492→\t\tcacheKey := joinSelector(msg.Selector)\n   493→\t\tlvl, ok := lvlCache[cacheKey]\n   494→\t\tif !ok {\n   495→\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n   496→\t\t\tlvlCache[cacheKey] = lvl\n   497→\t\t}\n   498→\n   499→\t\t// Write directly to the buffer, same as WriteToLevel but without the\n   500→\t\t// global level lookup (we already have the right level).\n   501→\t\tlvl.lock.Lock()\n   502→\t\tb := lvl.metrics[minfo.offset]\n   503→\t\tif b == nil {\n   504→\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n   505→\t\t\tlvl.metrics[minfo.offset] = b\n   506→\t\t}\n   507→\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n   508→\t\tif writeErr == nil && b != nb {\n   509→\t\t\tlvl.metrics[minfo.offset] = nb\n   510→\t\t}\n   511→\t\t// Ignore write errors for timestamps before buffer start (can happen when\n   512→\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n   513→\t\tlvl.lock.Unlock()\n   514→\t}\n   515→\n   516→\treturn nil\n   517→}\n   518→\n   519→// joinSelector builds a cache key from a selector slice using null bytes as separators.\n   520→func joinSelector(sel []string) string {\n   521→\tif len(sel) == 0 {\n   522→\t\treturn \"\"\n   523→\t}\n   524→\tvar result strings.Builder\n   525→\tresult.WriteString(sel[0])\n   526→\tfor i := 1; i < len(sel); i++ {\n   527→\t\tresult.WriteString(\"\\x00\" + sel[i])\n   528→\t}\n   529→\treturn result.String()\n   530→}\n   531→\n   532→// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n   533→// Returns the number of files written, the list of host directories that were\n   534→// successfully checkpointed (for WAL rotation), and any errors.\n   535→func (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n   536→\t// Collect all cluster/host pairs.\n   537→\tm.root.lock.RLock()\n   538→\ttotalHosts := 0\n   539→\tfor _, l1 := range m.root.children {\n   540→\t\tl1.lock.RLock()\n   541→\t\ttotalHosts += len(l1.children)\n   542→\t\tl1.lock.RUnlock()\n   543→\t}\n   544→\tm.root.lock.RUnlock()\n   545→\n   546→\tlevels := make([]*Level, 0, totalHosts)\n   547→\tselectors := make([][]string, 0, totalHosts)\n   548→\n   549→\tm.root.lock.RLock()\n   550→\tfor sel1, l1 := range m.root.children {\n   551→\t\tl1.lock.RLock()\n   552→\t\tfor sel2, l2 := range l1.children {\n   553→\t\t\tlevels = append(levels, l2)\n   554→\t\t\tselectors = append(selectors, []string{sel1, sel2})\n   555→\t\t}\n   556→\t\tl1.lock.RUnlock()\n   557→\t}\n   558→\tm.root.lock.RUnlock()\n   559→\n   560→\ttype workItem struct {\n   561→\t\tlevel    *Level\n   562→\t\thostDir  string\n   563→\t\tselector []string\n   564→\t}\n   565→\n   566→\tn, errs := int32(0), int32(0)\n   567→\tvar successDirs []string\n   568→\tvar successMu sync.Mutex\n   569→\n   570→\tvar wg sync.WaitGroup\n   571→\twg.Add(Keys.NumWorkers)\n   572→\twork := make(chan workItem, Keys.NumWorkers*2)\n   573→\n   574→\tfor range Keys.NumWorkers {\n   575→\t\tgo func() {\n   576→\t\t\tdefer wg.Done()\n   577→\t\t\tfor wi := range work {\n   578→\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n   579→\t\t\t\tif err != nil {\n   580→\t\t\t\t\tif err == ErrNoNewArchiveData {\n   581→\t\t\t\t\t\tcontinue\n   582→\t\t\t\t\t}\n   583→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n   584→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   585→\t\t\t\t} else {\n   586→\t\t\t\t\tatomic.AddInt32(&n, 1)\n   587→\t\t\t\t\tsuccessMu.Lock()\n   588→\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n   589→\t\t\t\t\tsuccessMu.Unlock()\n   590→\t\t\t\t}\n   591→\t\t\t}\n   592→\t\t}()\n   593→\t}\n   594→\n   595→\tfor i := range levels {\n   596→\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n   597→\t\twork <- workItem{\n   598→\t\t\tlevel:    levels[i],\n   599→\t\t\thostDir:  hostDir,\n   600→\t\t\tselector: selectors[i],\n   601→\t\t}\n   602→\t}\n   603→\tclose(work)\n   604→\twg.Wait()\n   605→\n   606→\tif errs > 0 {\n   607→\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n   608→\t}\n   609→\treturn int(n), successDirs, nil\n   610→}\n   611→\n   612→// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n   613→// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\n   614→func (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n   615→\tcf, err := l.toCheckpointFile(from, to, m)\n   616→\tif err != nil {\n   617→\t\treturn err\n   618→\t}\n   619→\tif cf == nil {\n   620→\t\treturn ErrNoNewArchiveData\n   621→\t}\n   622→\n   623→\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n   624→\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n   625→\t}\n   626→\n   627→\t// Write to a temp file first, then rename (atomic on POSIX).\n   628→\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n   629→\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n   630→\n   631→\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n   632→\tif err != nil {\n   633→\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n   634→\t}\n   635→\n   636→\tbw := bufio.NewWriter(f)\n   637→\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n   638→\t\tf.Close()\n   639→\t\tos.Remove(tmpPath)\n   640→\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n   641→\t}\n   642→\tif err := bw.Flush(); err != nil {\n   643→\t\tf.Close()\n   644→\t\tos.Remove(tmpPath)\n   645→\t\treturn err\n   646→\t}\n   647→\tf.Close()\n   648→\n   649→\treturn os.Rename(tmpPath, finalPath)\n   650→}\n   651→\n   652→// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\n   653→func writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n   654→\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n   655→\t\treturn err\n   656→\t}\n   657→\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n   658→\t\treturn err\n   659→\t}\n   660→\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n   661→\t\treturn err\n   662→\t}\n   663→\treturn writeBinaryLevel(w, cf)\n   664→}\n   665→\n   666→// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\n   667→func writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n   668→\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n   669→\t\treturn err\n   670→\t}\n   671→\n   672→\tfor name, metric := range cf.Metrics {\n   673→\t\tif err := writeString16(w, name); err != nil {\n   674→\t\t\treturn err\n   675→\t\t}\n   676→\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n   677→\t\t\treturn err\n   678→\t\t}\n   679→\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n   680→\t\t\treturn err\n   681→\t\t}\n   682→\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n   683→\t\t\treturn err\n   684→\t\t}\n   685→\t\tfor _, v := range metric.Data {\n   686→\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n   687→\t\t\t\treturn err\n   688→\t\t\t}\n   689→\t\t}\n   690→\t}\n   691→\n   692→\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n   693→\t\treturn err\n   694→\t}\n   695→\n   696→\tfor name, child := range cf.Children {\n   697→\t\tif err := writeString16(w, name); err != nil {\n   698→\t\t\treturn err\n   699→\t\t}\n   700→\t\tif err := writeBinaryLevel(w, child); err != nil {\n   701→\t\t\treturn err\n   702→\t\t}\n   703→\t}\n   704→\n   705→\treturn nil\n   706→}\n   707→\n   708→// writeString16 writes a 2-byte length-prefixed string to w.\n   709→func writeString16(w io.Writer, s string) error {\n   710→\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n   711→\t\treturn err\n   712→\t}\n   713→\t_, err := io.WriteString(w, s)\n   714→\treturn err\n   715→}\n   716→\n   717→// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n   718→// The retention check (from) is applied to the file's 'to' timestamp.\n   719→func (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n   720→\tbr := bufio.NewReader(f)\n   721→\n   722→\tvar magic uint32\n   723→\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n   724→\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n   725→\t}\n   726→\tif magic != snapFileMagic {\n   727→\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n   728→\t}\n   729→\n   730→\tvar fileFrom, fileTo int64\n   731→\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n   732→\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n   733→\t}\n   734→\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n   735→\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n   736→\t}\n   737→\n   738→\tif fileTo != 0 && fileTo < from {\n   739→\t\treturn nil // File is older than retention window, skip it\n   740→\t}\n   741→\n   742→\tcf, err := readBinaryLevel(br)\n   743→\tif err != nil {\n   744→\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n   745→\t}\n   746→\tcf.From = fileFrom\n   747→\tcf.To = fileTo\n   748→\n   749→\treturn l.loadFile(cf, m)\n   750→}\n   751→\n   752→// readBinaryLevel recursively reads a level from the binary snapshot format.\n   753→func readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n   754→\tcf := &CheckpointFile{\n   755→\t\tMetrics:  make(map[string]*CheckpointMetrics),\n   756→\t\tChildren: make(map[string]*CheckpointFile),\n   757→\t}\n   758→\n   759→\tvar numMetrics uint32\n   760→\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n   761→\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n   762→\t}\n   763→\n   764→\tfor range numMetrics {\n   765→\t\tname, err := readString16(r)\n   766→\t\tif err != nil {\n   767→\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n   768→\t\t}\n   769→\n   770→\t\tvar freq, start int64\n   771→\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n   772→\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n   773→\t\t}\n   774→\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n   775→\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n   776→\t\t}\n   777→\n   778→\t\tvar numValues uint32\n   779→\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n   780→\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n   781→\t\t}\n   782→\n   783→\t\tdata := make([]schema.Float, numValues)\n   784→\t\tfor i := range numValues {\n   785→\t\t\tvar bits uint32\n   786→\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n   787→\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n   788→\t\t\t}\n   789→\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n   790→\t\t}\n   791→\n   792→\t\tcf.Metrics[name] = &CheckpointMetrics{\n   793→\t\t\tFrequency: freq,\n   794→\t\t\tStart:     start,\n   795→\t\t\tData:      data,\n   796→\t\t}\n   797→\t}\n   798→\n   799→\tvar numChildren uint32\n   800→\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\n   801→\t\treturn nil, fmt.Errorf(\"read num_children: %w\", err)\n   802→\t}\n   803→\n   804→\tfor range numChildren {\n   805→\t\tchildName, err := readString16(r)\n   806→\t\tif err != nil {\n   807→\t\t\treturn nil, fmt.Errorf(\"read child name: %w\", err)\n   808→\t\t}\n   809→\n   810→\t\tchild, err := readBinaryLevel(r)\n   811→\t\tif err != nil {\n   812→\t\t\treturn nil, fmt.Errorf(\"read child %s: %w\", childName, err)\n   813→\t\t}\n   814→\t\tcf.Children[childName] = child\n   815→\t}\n   816→\n   817→\treturn cf, nil\n   818→}\n   819→\n   820→// readString16 reads a 2-byte length-prefixed string from r.\n   821→func readString16(r io.Reader) (string, error) {\n   822→\tvar sLen uint16\n   823→\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {\n   824→\t\treturn \"\", err\n   825→\t}\n   826→\tbuf := make([]byte, sLen)\n   827→\tif _, err := io.ReadFull(r, buf); err != nil {\n   828→\t\treturn \"\", err\n   829→\t}\n   830→\treturn string(buf), nil\n   831→}\n   832→"}]},"uuid":"311973a6-2ed6-45c9-8815-188a98dee868","timestamp":"2026-03-18T05:29:23.141Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n//\n// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n// per host, eliminating the extra memory overhead of the AvroStore and providing\n// truly continuous (per-write) crash safety.\n//\n// # Architecture\n//\n//\tMetric write (DecodeLine)\n//\t      │\n//\t      ├─► WriteToLevel()    → main MemoryStore (unchanged)\n//\t      │\n//\t      └─► WALMessages channel\n//\t               │\n//\t               ▼\n//\t        WALStaging goroutine\n//\t               │\n//\t               ▼\n//\t        checkpoints/cluster/host/current.wal  (append-only, binary)\n//\n//\tPeriodic checkpoint (Checkpointing goroutine):\n//\t  1. Write <timestamp>.bin snapshot (column-oriented, from main tree)\n//\t  2. Signal WALStaging to truncate current.wal per host\n//\n//\tOn restart (FromCheckpoint):\n//\t  1. Load most recent <timestamp>.bin snapshot\n//\t  2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n//\n// # WAL Record Format\n//\n//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n//\n//\tpayload:\n//\t  [8B timestamp int64]\n//\t  [2B metric_name_len uint16][N metric name bytes]\n//\t  [1B selector_count uint8]\n//\t  per selector: [1B selector_len uint8][M selector bytes]\n//\t  [4B value float32 bits]\n//\n// # Binary Snapshot Format\n//\n//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n//\tLevel tree (recursive):\n//\t  [4B num_metrics uint32]\n//\t  per metric:\n//\t    [2B name_len uint16][N name bytes]\n//\t    [8B frequency int64][8B start int64]\n//\t    [4B num_values uint32][num_values × 4B float32]\n//\t  [4B num_children uint32]\n//\t  per child: [2B name_len uint16][N name bytes] + Level (recursive)\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/binary\"\n\t\"fmt\"\n\t\"hash/crc32\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"path\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Magic numbers for binary formats.\nconst (\n\twalFileMagic   = uint32(0xCC1DA701) // WAL file header magic\n\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n\tsnapFileMagic  = uint32(0xCC5B0001) // Binary snapshot magic\n)\n\n// WALMessages is the channel for sending metric writes to the WAL staging goroutine.\n// Buffered to allow burst writes without blocking the metric ingestion path.\nvar WALMessages = make(chan *WALMessage, 65536)\n\n// walRotateCh is used by the checkpoint goroutine to request WAL file rotation\n// (close, delete, reopen) after a binary snapshot has been written.\nvar walRotateCh = make(chan walRotateReq, 256)\n\n// WALMessage represents a single metric write to be appended to the WAL.\n// Cluster and Node are NOT stored in the WAL record (inferred from file path).\ntype WALMessage struct {\n\tMetricName string\n\tCluster    string\n\tNode       string\n\tSelector   []string\n\tValue      schema.Float\n\tTimestamp  int64\n}\n\n// walRotateReq requests WAL file rotation for a specific host directory.\n// The done channel is closed by the WAL goroutine when rotation is complete.\ntype walRotateReq struct {\n\thostDir string\n\tdone    chan struct{}\n}\n\n// walFileState holds an open WAL file handle and buffered writer for one host directory.\ntype walFileState struct {\n\tf *os.File\n\tw *bufio.Writer\n}\n\n// WALStaging starts a background goroutine that receives WALMessage items\n// and appends binary WAL records to per-host current.wal files.\n// Also handles WAL rotation requests from the checkpoint goroutine.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\twg.Go(func() {\n\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\t\treturn\n\t\t}\n\n\t\thostFiles := make(map[string]*walFileState)\n\n\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\n\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\tw := bufio.NewWriter(f)\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tws = &walFileState{f: f, w: w}\n\t\t\thostFiles[hostDir] = ws\n\t\t\treturn ws\n\t\t}\n\n\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tws := getOrOpenWAL(hostDir)\n\t\t\tif ws == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}\n\n\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.w.Flush()\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}\n\n\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\t// Flush all buffered writers after draining remaining messages.\n\t\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\n\t\t\t\t// Drain up to 256 more messages without blocking to batch writes.\n\t\t\t\tfor range 256 {\n\t\t\t\t\tselect {\n\t\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\t\tif !ok {\n\t\t\t\t\t\t\treturn\n\t\t\t\t\t\t}\n\t\t\t\t\t\tprocessMsg(msg)\n\t\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\t\tprocessRotate(req)\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tgoto flushed\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\tflushed:\n\t\t\t\t// Flush all buffered writers after processing the batch.\n\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFiles(hostDirs []string) {\n\tdones := make([]chan struct{}, len(hostDirs))\n\tfor i, dir := range hostDirs {\n\t\tdones[i] = make(chan struct{})\n\t\twalRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}\n\t}\n\tfor _, done := range dones {\n\t\t<-done\n\t}\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFilesAfterShutdown(hostDirs []string) {\n\tfor _, dir := range hostDirs {\n\t\twalPath := path.Join(dir, \"current.wal\")\n\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t}\n\t}\n}\n\n// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\nfunc buildWALPayload(msg *WALMessage) []byte {\n\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n\tfor _, s := range msg.Selector {\n\t\tsize += 1 + len(s)\n\t}\n\n\tbuf := make([]byte, 0, size)\n\n\t// Timestamp (8 bytes, little-endian int64)\n\tvar ts [8]byte\n\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n\tbuf = append(buf, ts[:]...)\n\n\t// Metric name (2-byte length prefix + bytes)\n\tvar mLen [2]byte\n\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n\tbuf = append(buf, mLen[:]...)\n\tbuf = append(buf, msg.MetricName...)\n\n\t// Selector count (1 byte)\n\tbuf = append(buf, byte(len(msg.Selector)))\n\n\t// Selectors (1-byte length prefix + bytes each)\n\tfor _, sel := range msg.Selector {\n\t\tbuf = append(buf, byte(len(sel)))\n\t\tbuf = append(buf, sel...)\n\t}\n\n\t// Value (4 bytes, float32 bit representation)\n\tvar val [4]byte\n\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n\tbuf = append(buf, val[:]...)\n\n\treturn buf\n}\n\n// writeWALRecord appends a binary WAL record to the writer.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(w io.Writer, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := w.Write(record)\n\treturn err\n}\n\n// readWALRecord reads one WAL record from the reader.\n// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n// A CRC mismatch indicates a truncated trailing record (expected on crash).\nfunc readWALRecord(r io.Reader) (*WALMessage, error) {\n\tvar magic uint32\n\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil, nil // Clean EOF\n\t\t}\n\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n\t}\n\n\tif magic != walRecordMagic {\n\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n\t}\n\n\tvar payloadLen uint32\n\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n\t}\n\n\tif payloadLen > 1<<20 { // 1 MB sanity limit\n\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n\t}\n\n\tpayload := make([]byte, payloadLen)\n\tif _, err := io.ReadFull(r, payload); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n\t}\n\n\tvar storedCRC uint32\n\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n\t}\n\n\tif crc32.ChecksumIEEE(payload) != storedCRC {\n\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n\t}\n\n\treturn parseWALPayload(payload)\n}\n\n// parseWALPayload decodes a binary payload into a WALMessage.\nfunc parseWALPayload(payload []byte) (*WALMessage, error) {\n\tif len(payload) < 8+2+1+4 {\n\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n\t}\n\n\toffset := 0\n\n\t// Timestamp (8 bytes)\n\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n\toffset += 8\n\n\t// Metric name (2-byte length + bytes)\n\tif offset+2 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n\t}\n\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n\toffset += 2\n\n\tif offset+mLen > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n\t}\n\tmetricName := string(payload[offset : offset+mLen])\n\toffset += mLen\n\n\t// Selector count (1 byte)\n\tif offset >= len(payload) {\n\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n\t}\n\tselCount := int(payload[offset])\n\toffset++\n\n\tselectors := make([]string, selCount)\n\tfor i := range selCount {\n\t\tif offset >= len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n\t\t}\n\t\tsLen := int(payload[offset])\n\t\toffset++\n\n\t\tif offset+sLen > len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n\t\t}\n\t\tselectors[i] = string(payload[offset : offset+sLen])\n\t\toffset += sLen\n\t}\n\n\t// Value (4 bytes, float32 bits)\n\tif offset+4 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n\t}\n\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n\tvalue := schema.Float(math.Float32frombits(bits))\n\n\treturn &WALMessage{\n\t\tMetricName: metricName,\n\t\tTimestamp:  ts,\n\t\tSelector:   selectors,\n\t\tValue:      value,\n\t}, nil\n}\n\n// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n// l is the host-level node. Corrupt or partial trailing records are silently skipped\n// (expected on crash). Records older than 'from' are skipped.\nfunc (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\t// Verify file header magic.\n\tvar fileMagic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil // Empty file, no data\n\t\t}\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n\t}\n\n\tif fileMagic != walFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n\t}\n\n\t// Cache level lookups to avoid repeated tree traversal.\n\tlvlCache := make(map[string]*Level)\n\n\tfor {\n\t\tmsg, err := readWALRecord(br)\n\t\tif err != nil {\n\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n\t\t\tbreak\n\t\t}\n\t\tif msg == nil {\n\t\t\tbreak // Clean EOF\n\t\t}\n\n\t\tif msg.Timestamp < from {\n\t\t\tcontinue // Older than retention window\n\t\t}\n\n\t\tminfo, ok := m.Metrics[msg.MetricName]\n\t\tif !ok {\n\t\t\tcontinue // Unknown metric (config may have changed)\n\t\t}\n\n\t\t// Cache key is the null-separated selector path.\n\t\tcacheKey := joinSelector(msg.Selector)\n\t\tlvl, ok := lvlCache[cacheKey]\n\t\tif !ok {\n\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n\t\t\tlvlCache[cacheKey] = lvl\n\t\t}\n\n\t\t// Write directly to the buffer, same as WriteToLevel but without the\n\t\t// global level lookup (we already have the right level).\n\t\tlvl.lock.Lock()\n\t\tb := lvl.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n\t\t\tlvl.metrics[minfo.offset] = b\n\t\t}\n\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n\t\tif writeErr == nil && b != nb {\n\t\t\tlvl.metrics[minfo.offset] = nb\n\t\t}\n\t\t// Ignore write errors for timestamps before buffer start (can happen when\n\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n\t\tlvl.lock.Unlock()\n\t}\n\n\treturn nil\n}\n\n// joinSelector builds a cache key from a selector slice using null bytes as separators.\nfunc joinSelector(sel []string) string {\n\tif len(sel) == 0 {\n\t\treturn \"\"\n\t}\n\tvar result strings.Builder\n\tresult.WriteString(sel[0])\n\tfor i := 1; i < len(sel); i++ {\n\t\tresult.WriteString(\"\\x00\" + sel[i])\n\t}\n\treturn result.String()\n}\n\n// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n// Returns the number of files written, the list of host directories that were\n// successfully checkpointed (for WAL rotation), and any errors.\nfunc (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n\t// Collect all cluster/host pairs.\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel    *Level\n\t\thostDir  string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\tvar successDirs []string\n\tvar successMu sync.Mutex\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\n\tfor range Keys.NumWorkers {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor wi := range work {\n\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n\t\t\t\tif err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\tsuccessMu.Lock()\n\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n\t\t\t\t\tsuccessMu.Unlock()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := range levels {\n\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel:    levels[i],\n\t\t\thostDir:  hostDir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n\t}\n\treturn int(n), successDirs, nil\n}\n\n// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\nfunc (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n\t}\n\n\t// Write to a temp file first, then rename (atomic on POSIX).\n\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n\n\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n\t}\n\n\tbw := bufio.NewWriter(f)\n\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n\t}\n\tif err := bw.Flush(); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn err\n\t}\n\tf.Close()\n\n\treturn os.Rename(tmpPath, finalPath)\n}\n\n// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\nfunc writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n\t\treturn err\n\t}\n\treturn writeBinaryLevel(w, cf)\n}\n\n// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\nfunc writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, metric := range cf.Metrics {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tfor _, v := range metric.Data {\n\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, child := range cf.Children {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := writeBinaryLevel(w, child); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// writeString16 writes a 2-byte length-prefixed string to w.\nfunc writeString16(w io.Writer, s string) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n\t\treturn err\n\t}\n\t_, err := io.WriteString(w, s)\n\treturn err\n}\n\n// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n// The retention check (from) is applied to the file's 'to' timestamp.\nfunc (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\tvar magic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n\t}\n\tif magic != snapFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n\t}\n\n\tvar fileFrom, fileTo int64\n\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n\t}\n\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n\t}\n\n\tif fileTo != 0 && fileTo < from {\n\t\treturn nil // File is older than retention window, skip it\n\t}\n\n\tcf, err := readBinaryLevel(br)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n\t}\n\tcf.From = fileFrom\n\tcf.To = fileTo\n\n\treturn l.loadFile(cf, m)\n}\n\n// readBinaryLevel recursively reads a level from the binary snapshot format.\nfunc readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n\tcf := &CheckpointFile{\n\t\tMetrics:  make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tvar numMetrics uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n\t}\n\n\tfor range numMetrics {\n\t\tname, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n\t\t}\n\n\t\tvar freq, start int64\n\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n\t\t}\n\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n\t\t}\n\n\t\tvar numValues uint32\n\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n\t\t}\n\n\t\tdata := make([]schema.Float, numValues)\n\t\tfor i := range numValues {\n\t\t\tvar bits uint32\n\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n\t\t\t}\n\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n\t\t}\n\n\t\tcf.Metrics[name] = &CheckpointMetrics{\n\t\t\tFrequency: freq,\n\t\t\tStart:     start,\n\t\t\tData:      data,\n\t\t}\n\t}\n\n\tvar numChildren uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_children: %w\", err)\n\t}\n\n\tfor range numChildren {\n\t\tchildName, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child name: %w\", err)\n\t\t}\n\n\t\tchild, err := readBinaryLevel(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child %s: %w\", childName, err)\n\t\t}\n\t\tcf.Children[childName] = child\n\t}\n\n\treturn cf, nil\n}\n\n// readString16 reads a 2-byte length-prefixed string from r.\nfunc readString16(r io.Reader) (string, error) {\n\tvar sLen uint16\n\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {\n\t\treturn \"\", err\n\t}\n\tbuf := make([]byte, sLen)\n\tif _, err := io.ReadFull(r, buf); err != nil {\n\t\treturn \"\", err\n\t}\n\treturn string(buf), nil\n}\n","numLines":832,"startLine":1,"totalLines":832}},"sourceToolAssistantUUID":"53cacb9b-842f-4b11-adeb-ae3f42fafd4a","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"parentUuid":"89e8ab32-1c9d-4c0d-b4c3-a3d9fad1a16b","isSidechain":false,"promptId":"53f7aeff-f280-4fa6-a195-55ff40087d7e","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PtLUrnJXjXdSBqyJaBpYkt","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// This file implements ingestion of InfluxDB line-protocol metric data received\n     7→// over NATS. Each line encodes one metric sample with the following structure:\n     8→//\n     9→//\t<measurement>[,cluster=<c>][,hostname=<h>][,type=<t>][,type-id=<id>][,subtype=<s>][,stype-id=<id>] value=<v> [<timestamp>]\n    10→//\n    11→// The measurement name identifies the metric (e.g. \"cpu_load\"). Tags provide\n    12→// routing information (cluster, host) and optional sub-device selectors (type,\n    13→// subtype). Only one field is expected per line: \"value\".\n    14→//\n    15→// After decoding, each sample is:\n    16→//  1. Written to the in-memory store via ms.WriteToLevel.\n    17→//  2. If the checkpoint format is \"wal\", also forwarded to the WAL staging\n    18→//     goroutine via the WALMessages channel for durable write-ahead logging.\n    19→package metricstore\n    20→\n    21→import (\n    22→\t\"bytes\"\n    23→\t\"context\"\n    24→\t\"fmt\"\n    25→\t\"sync\"\n    26→\t\"sync/atomic\"\n    27→\t\"time\"\n    28→\n    29→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    30→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n    31→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    32→\t\"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n    33→)\n    34→\n    35→// ReceiveNats subscribes to all configured NATS subjects and feeds incoming\n    36→// line-protocol messages into the MemoryStore.\n    37→//\n    38→// When workers > 1 a pool of goroutines drains a shared channel so that\n    39→// multiple messages can be decoded in parallel. With workers == 1 the NATS\n    40→// callback decodes inline (no channel overhead, lower latency).\n    41→//\n    42→// The function blocks until ctx is cancelled and all worker goroutines have\n    43→// finished. It returns nil when the NATS client is not configured; callers\n    44→// should treat that as a no-op rather than an error.\n    45→func ReceiveNats(ms *MemoryStore,\n    46→\tworkers int,\n    47→\tctx context.Context,\n    48→) error {\n    49→\tnc := nats.GetClient()\n    50→\n    51→\tif nc == nil {\n    52→\t\tcclog.Warn(\"NATS client not initialized\")\n    53→\t\treturn nil\n    54→\t}\n    55→\n    56→\tvar wg sync.WaitGroup\n    57→\tmsgs := make(chan []byte, max(workers*256, 8192))\n    58→\n    59→\tfor _, sc := range *Keys.Subscriptions {\n    60→\t\tclusterTag := sc.ClusterTag\n    61→\t\tif workers > 1 {\n    62→\t\t\twg.Add(workers)\n    63→\n    64→\t\t\tfor range workers {\n    65→\t\t\t\tgo func() {\n    66→\t\t\t\t\tdefer wg.Done()\n    67→\t\t\t\t\tfor m := range msgs {\n    68→\t\t\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(m)\n    69→\t\t\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n    70→\t\t\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n    71→\t\t\t\t\t\t}\n    72→\t\t\t\t\t}\n    73→\t\t\t\t}()\n    74→\t\t\t}\n    75→\n    76→\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n    77→\t\t\t\tselect {\n    78→\t\t\t\tcase msgs <- data:\n    79→\t\t\t\tcase <-ctx.Done():\n    80→\t\t\t\t}\n    81→\t\t\t})\n    82→\t\t} else {\n    83→\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n    84→\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(data)\n    85→\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n    86→\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n    87→\t\t\t\t}\n    88→\t\t\t})\n    89→\t\t}\n    90→\t\tcclog.Infof(\"NATS subscription to '%s' established\", sc.SubscribeTo)\n    91→\t}\n    92→\n    93→\tgo func() {\n    94→\t\t<-ctx.Done()\n    95→\t\tclose(msgs)\n    96→\t}()\n    97→\n    98→\twg.Wait()\n    99→\n   100→\treturn nil\n   101→}\n   102→\n   103→// reorder prepends prefix to buf in-place when buf has enough spare capacity,\n   104→// avoiding an allocation. Falls back to a regular append otherwise.\n   105→//\n   106→// It is used to assemble the \"type<type-id>\" and \"subtype<stype-id>\" selector\n   107→// strings when the type tag arrives before the type-id tag in the line, so the\n   108→// two byte slices need to be concatenated in tag-declaration order regardless\n   109→// of wire order.\n   110→func reorder(buf, prefix []byte) []byte {\n   111→\tn := len(prefix)\n   112→\tm := len(buf)\n   113→\tif cap(buf) < m+n {\n   114→\t\treturn append(prefix[:n:n], buf...)\n   115→\t} else {\n   116→\t\tbuf = buf[:n+m]\n   117→\t\tfor i := m - 1; i >= 0; i-- {\n   118→\t\t\tbuf[i+n] = buf[i]\n   119→\t\t}\n   120→\t\tfor i := range n {\n   121→\t\t\tbuf[i] = prefix[i]\n   122→\t\t}\n   123→\t\treturn buf\n   124→\t}\n   125→}\n   126→\n   127→// walDropped counts WAL messages dropped due to a full channel.\n   128→// Logged periodically; not critical since binary snapshots capture the data.\n   129→var walDropped atomic.Int64\n   130→\n   131→// decodeState holds the per-call scratch buffers used by DecodeLine.\n   132→// Instances are recycled via decodeStatePool to avoid repeated allocations\n   133→// during high-throughput ingestion.\n   134→type decodeState struct {\n   135→\t// metricBuf holds a copy of the current measurement name (line-protocol\n   136→\t// measurement field). Copied because dec.Measurement() returns a slice\n   137→\t// that is invalidated by the next decoder call.\n   138→\tmetricBuf []byte\n   139→\n   140→\t// selector is the sub-device path passed to WriteToLevel and WALMessage\n   141→\t// (e.g. [\"socket0\"] or [\"socket0\", \"memctrl1\"]). Reused across lines.\n   142→\tselector []string\n   143→\n   144→\t// typeBuf accumulates the concatenated \"type\"+\"type-id\" tag value for the\n   145→\t// current line. Reset at the start of each line's tag-decode loop.\n   146→\ttypeBuf []byte\n   147→\n   148→\t// subTypeBuf accumulates the concatenated \"subtype\"+\"stype-id\" tag value.\n   149→\t// Reset at the start of each line's tag-decode loop.\n   150→\tsubTypeBuf []byte\n   151→\n   152→\t// prevTypeBytes / prevTypeStr cache the last seen typeBuf content and its\n   153→\t// string conversion. Because consecutive lines in a batch typically address\n   154→\t// the same sub-device, the cache hit rate is very high and avoids\n   155→\t// repeated []byte→string allocations.\n   156→\tprevTypeBytes []byte\n   157→\tprevTypeStr   string\n   158→\n   159→\t// prevSubTypeBytes / prevSubTypeStr are the same cache for the subtype.\n   160→\tprevSubTypeBytes []byte\n   161→\tprevSubTypeStr   string\n   162→}\n   163→\n   164→// decodeStatePool recycles decodeState values across DecodeLine calls to\n   165→// reduce GC pressure during sustained metric ingestion.\n   166→var decodeStatePool = sync.Pool{\n   167→\tNew: func() any {\n   168→\t\treturn &decodeState{\n   169→\t\t\tmetricBuf:  make([]byte, 0, 16),\n   170→\t\t\tselector:   make([]string, 0, 4),\n   171→\t\t\ttypeBuf:    make([]byte, 0, 16),\n   172→\t\t\tsubTypeBuf: make([]byte, 0, 16),\n   173→\t\t}\n   174→\t},\n   175→}\n   176→\n   177→// DecodeLine reads all lines from dec (InfluxDB line-protocol) and writes each\n   178→// decoded metric sample into ms.\n   179→//\n   180→// clusterDefault is used as the cluster name for lines that do not carry a\n   181→// \"cluster\" tag. Callers typically supply the ClusterTag value from the NATS\n   182→// subscription configuration.\n   183→//\n   184→// Performance notes:\n   185→//   - A decodeState is obtained from decodeStatePool to reuse scratch buffers.\n   186→//   - The Level pointer (host-level node in the metric tree) is cached across\n   187→//     consecutive lines that share the same cluster+host pair to avoid\n   188→//     repeated lock acquisitions on the root and cluster levels.\n   189→//   - []byte→string conversions for type/subtype selectors are cached via\n   190→//     prevType*/prevSubType* fields because batches typically repeat the same\n   191→//     sub-device identifiers.\n   192→//   - Timestamp parsing tries Second precision first; if that fails it retries\n   193→//     Millisecond, Microsecond, and Nanosecond in turn. A missing timestamp\n   194→//     falls back to time.Now().\n   195→//\n   196→// When the checkpoint format is \"wal\" each successfully decoded sample is also\n   197→// sent to WALMessages so the WAL staging goroutine can persist it durably\n   198→// before the next binary snapshot.\n   199→func DecodeLine(dec *lineprotocol.Decoder,\n   200→\tms *MemoryStore,\n   201→\tclusterDefault string,\n   202→) error {\n   203→\t// Reduce allocations in loop:\n   204→\tt := time.Now()\n   205→\tmetric := Metric{}\n   206→\tst := decodeStatePool.Get().(*decodeState)\n   207→\tdefer decodeStatePool.Put(st)\n   208→\n   209→\t// Optimize for the case where all lines in a \"batch\" are about the same\n   210→\t// cluster and host. By using `WriteToLevel` (level = host), we do not need\n   211→\t// to take the root- and cluster-level lock as often.\n   212→\tvar lvl *Level = nil\n   213→\tprevCluster, prevHost := \"\", \"\"\n   214→\n   215→\tvar ok bool\n   216→\tfor dec.Next() {\n   217→\t\trawmeasurement, err := dec.Measurement()\n   218→\t\tif err != nil {\n   219→\t\t\treturn err\n   220→\t\t}\n   221→\n   222→\t\t// Needs to be copied because another call to dec.* would\n   223→\t\t// invalidate the returned slice.\n   224→\t\tst.metricBuf = append(st.metricBuf[:0], rawmeasurement...)\n   225→\n   226→\t\t// The go compiler optimizes map[string(byteslice)] lookups:\n   227→\t\tmetric.MetricConfig, ok = ms.Metrics[string(rawmeasurement)]\n   228→\t\tif !ok {\n   229→\t\t\tcontinue\n   230→\t\t}\n   231→\n   232→\t\tst.typeBuf, st.subTypeBuf = st.typeBuf[:0], st.subTypeBuf[:0]\n   233→\t\tcluster, host := clusterDefault, \"\"\n   234→\t\tfor {\n   235→\t\t\tkey, val, err := dec.NextTag()\n   236→\t\t\tif err != nil {\n   237→\t\t\t\treturn err\n   238→\t\t\t}\n   239→\t\t\tif key == nil {\n   240→\t\t\t\tbreak\n   241→\t\t\t}\n   242→\n   243→\t\t\t// The go compiler optimizes string([]byte{...}) == \"...\":\n   244→\t\t\tswitch string(key) {\n   245→\t\t\tcase \"cluster\":\n   246→\t\t\t\tif string(val) == prevCluster {\n   247→\t\t\t\t\tcluster = prevCluster\n   248→\t\t\t\t} else {\n   249→\t\t\t\t\tcluster = string(val)\n   250→\t\t\t\t\tlvl = nil\n   251→\t\t\t\t}\n   252→\t\t\tcase \"hostname\", \"host\":\n   253→\t\t\t\tif string(val) == prevHost {\n   254→\t\t\t\t\thost = prevHost\n   255→\t\t\t\t} else {\n   256→\t\t\t\t\thost = string(val)\n   257→\t\t\t\t\tlvl = nil\n   258→\t\t\t\t}\n   259→\t\t\tcase \"type\":\n   260→\t\t\t\tif string(val) == \"node\" {\n   261→\t\t\t\t\tbreak\n   262→\t\t\t\t}\n   263→\n   264→\t\t\t\t// We cannot be sure that the \"type\" tag comes before the \"type-id\" tag:\n   265→\t\t\t\tif len(st.typeBuf) == 0 {\n   266→\t\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n   267→\t\t\t\t} else {\n   268→\t\t\t\t\tst.typeBuf = reorder(st.typeBuf, val)\n   269→\t\t\t\t}\n   270→\t\t\tcase \"type-id\":\n   271→\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n   272→\t\t\tcase \"subtype\":\n   273→\t\t\t\t// We cannot be sure that the \"subtype\" tag comes before the \"stype-id\" tag:\n   274→\t\t\t\tif len(st.subTypeBuf) == 0 {\n   275→\t\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n   276→\t\t\t\t} else {\n   277→\t\t\t\t\tst.subTypeBuf = reorder(st.subTypeBuf, val)\n   278→\t\t\t\t}\n   279→\t\t\tcase \"stype-id\":\n   280→\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n   281→\t\t\tdefault:\n   282→\t\t\t}\n   283→\t\t}\n   284→\n   285→\t\t// If the cluster or host changed, the lvl was set to nil\n   286→\t\tif lvl == nil {\n   287→\t\t\tst.selector = st.selector[:2]\n   288→\t\t\tst.selector[0], st.selector[1] = cluster, host\n   289→\t\t\tlvl = ms.GetLevel(st.selector)\n   290→\t\t\tprevCluster, prevHost = cluster, host\n   291→\t\t}\n   292→\n   293→\t\t// subtypes: cache []byte→string conversions; messages in a batch typically\n   294→\t\t// share the same type/subtype so the hit rate is very high.\n   295→\t\tst.selector = st.selector[:0]\n   296→\t\tif len(st.typeBuf) > 0 {\n   297→\t\t\tif !bytes.Equal(st.typeBuf, st.prevTypeBytes) {\n   298→\t\t\t\tst.prevTypeBytes = append(st.prevTypeBytes[:0], st.typeBuf...)\n   299→\t\t\t\tst.prevTypeStr = string(st.typeBuf)\n   300→\t\t\t}\n   301→\t\t\tst.selector = append(st.selector, st.prevTypeStr)\n   302→\t\t\tif len(st.subTypeBuf) > 0 {\n   303→\t\t\t\tif !bytes.Equal(st.subTypeBuf, st.prevSubTypeBytes) {\n   304→\t\t\t\t\tst.prevSubTypeBytes = append(st.prevSubTypeBytes[:0], st.subTypeBuf...)\n   305→\t\t\t\t\tst.prevSubTypeStr = string(st.subTypeBuf)\n   306→\t\t\t\t}\n   307→\t\t\t\tst.selector = append(st.selector, st.prevSubTypeStr)\n   308→\t\t\t}\n   309→\t\t}\n   310→\n   311→\t\tfor {\n   312→\t\t\tkey, val, err := dec.NextField()\n   313→\t\t\tif err != nil {\n   314→\t\t\t\treturn err\n   315→\t\t\t}\n   316→\n   317→\t\t\tif key == nil {\n   318→\t\t\t\tbreak\n   319→\t\t\t}\n   320→\n   321→\t\t\tif string(key) != \"value\" {\n   322→\t\t\t\treturn fmt.Errorf(\"host %s: unknown field: '%s' (value: %#v)\", host, string(key), val)\n   323→\t\t\t}\n   324→\n   325→\t\t\tif val.Kind() == lineprotocol.Float {\n   326→\t\t\t\tmetric.Value = schema.Float(val.FloatV())\n   327→\t\t\t} else if val.Kind() == lineprotocol.Int {\n   328→\t\t\t\tmetric.Value = schema.Float(val.IntV())\n   329→\t\t\t} else if val.Kind() == lineprotocol.Uint {\n   330→\t\t\t\tmetric.Value = schema.Float(val.UintV())\n   331→\t\t\t} else {\n   332→\t\t\t\treturn fmt.Errorf(\"host %s: unsupported value type in message: %s\", host, val.Kind().String())\n   333→\t\t\t}\n   334→\t\t}\n   335→\n   336→\t\tif t, err = dec.Time(lineprotocol.Second, t); err != nil {\n   337→\t\t\tt = time.Now()\n   338→\t\t\tif t, err = dec.Time(lineprotocol.Millisecond, t); err != nil {\n   339→\t\t\t\tt = time.Now()\n   340→\t\t\t\tif t, err = dec.Time(lineprotocol.Microsecond, t); err != nil {\n   341→\t\t\t\t\tt = time.Now()\n   342→\t\t\t\t\tif t, err = dec.Time(lineprotocol.Nanosecond, t); err != nil {\n   343→\t\t\t\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n   344→\t\t\t\t\t}\n   345→\t\t\t\t}\n   346→\t\t\t}\n   347→\t\t}\n   348→\n   349→\t\tif err != nil {\n   350→\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n   351→\t\t}\n   352→\n   353→\t\ttime := t.Unix()\n   354→\n   355→\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n   356→\t\t\tmsg := &WALMessage{\n   357→\t\t\t\tMetricName: string(st.metricBuf),\n   358→\t\t\t\tCluster:    cluster,\n   359→\t\t\t\tNode:       host,\n   360→\t\t\t\tSelector:   append([]string{}, st.selector...),\n   361→\t\t\t\tValue:      metric.Value,\n   362→\t\t\t\tTimestamp:  time,\n   363→\t\t\t}\n   364→\t\t\tselect {\n   365→\t\t\tcase WALMessages <- msg:\n   366→\t\t\tdefault:\n   367→\t\t\t\t// WAL channel full — metric is written to memory store but not WAL.\n   368→\t\t\t\t// Next binary snapshot will capture it.\n   369→\t\t\t\tif dropped := walDropped.Add(1); dropped%10000 == 1 {\n   370→\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> WAL channel full, dropped %d messages (data safe in memory, next snapshot will capture)\", dropped)\n   371→\t\t\t\t}\n   372→\t\t\t}\n   373→\t\t}\n   374→\n   375→\t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n   376→\t\t\tcclog.Warnf(\"write error for host %s metric %s at ts %d: %s\", host, string(st.metricBuf), time, err.Error())\n   377→\t\t\tcontinue\n   378→\t\t}\n   379→\t}\n   380→\treturn nil\n   381→}\n   382→"}]},"uuid":"b32930de-19da-45b1-b574-3e7fd25bbefa","timestamp":"2026-03-18T05:29:23.586Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/lineprotocol.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file implements ingestion of InfluxDB line-protocol metric data received\n// over NATS. Each line encodes one metric sample with the following structure:\n//\n//\t<measurement>[,cluster=<c>][,hostname=<h>][,type=<t>][,type-id=<id>][,subtype=<s>][,stype-id=<id>] value=<v> [<timestamp>]\n//\n// The measurement name identifies the metric (e.g. \"cpu_load\"). Tags provide\n// routing information (cluster, host) and optional sub-device selectors (type,\n// subtype). Only one field is expected per line: \"value\".\n//\n// After decoding, each sample is:\n//  1. Written to the in-memory store via ms.WriteToLevel.\n//  2. If the checkpoint format is \"wal\", also forwarded to the WAL staging\n//     goroutine via the WALMessages channel for durable write-ahead logging.\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\t\"sync/atomic\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// ReceiveNats subscribes to all configured NATS subjects and feeds incoming\n// line-protocol messages into the MemoryStore.\n//\n// When workers > 1 a pool of goroutines drains a shared channel so that\n// multiple messages can be decoded in parallel. With workers == 1 the NATS\n// callback decodes inline (no channel overhead, lower latency).\n//\n// The function blocks until ctx is cancelled and all worker goroutines have\n// finished. It returns nil when the NATS client is not configured; callers\n// should treat that as a no-op rather than an error.\nfunc ReceiveNats(ms *MemoryStore,\n\tworkers int,\n\tctx context.Context,\n) error {\n\tnc := nats.GetClient()\n\n\tif nc == nil {\n\t\tcclog.Warn(\"NATS client not initialized\")\n\t\treturn nil\n\t}\n\n\tvar wg sync.WaitGroup\n\tmsgs := make(chan []byte, max(workers*256, 8192))\n\n\tfor _, sc := range *Keys.Subscriptions {\n\t\tclusterTag := sc.ClusterTag\n\t\tif workers > 1 {\n\t\t\twg.Add(workers)\n\n\t\t\tfor range workers {\n\t\t\t\tgo func() {\n\t\t\t\t\tdefer wg.Done()\n\t\t\t\t\tfor m := range msgs {\n\t\t\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(m)\n\t\t\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}()\n\t\t\t}\n\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tselect {\n\t\t\t\tcase msgs <- data:\n\t\t\t\tcase <-ctx.Done():\n\t\t\t\t}\n\t\t\t})\n\t\t} else {\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(data)\n\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\t\tcclog.Infof(\"NATS subscription to '%s' established\", sc.SubscribeTo)\n\t}\n\n\tgo func() {\n\t\t<-ctx.Done()\n\t\tclose(msgs)\n\t}()\n\n\twg.Wait()\n\n\treturn nil\n}\n\n// reorder prepends prefix to buf in-place when buf has enough spare capacity,\n// avoiding an allocation. Falls back to a regular append otherwise.\n//\n// It is used to assemble the \"type<type-id>\" and \"subtype<stype-id>\" selector\n// strings when the type tag arrives before the type-id tag in the line, so the\n// two byte slices need to be concatenated in tag-declaration order regardless\n// of wire order.\nfunc reorder(buf, prefix []byte) []byte {\n\tn := len(prefix)\n\tm := len(buf)\n\tif cap(buf) < m+n {\n\t\treturn append(prefix[:n:n], buf...)\n\t} else {\n\t\tbuf = buf[:n+m]\n\t\tfor i := m - 1; i >= 0; i-- {\n\t\t\tbuf[i+n] = buf[i]\n\t\t}\n\t\tfor i := range n {\n\t\t\tbuf[i] = prefix[i]\n\t\t}\n\t\treturn buf\n\t}\n}\n\n// walDropped counts WAL messages dropped due to a full channel.\n// Logged periodically; not critical since binary snapshots capture the data.\nvar walDropped atomic.Int64\n\n// decodeState holds the per-call scratch buffers used by DecodeLine.\n// Instances are recycled via decodeStatePool to avoid repeated allocations\n// during high-throughput ingestion.\ntype decodeState struct {\n\t// metricBuf holds a copy of the current measurement name (line-protocol\n\t// measurement field). Copied because dec.Measurement() returns a slice\n\t// that is invalidated by the next decoder call.\n\tmetricBuf []byte\n\n\t// selector is the sub-device path passed to WriteToLevel and WALMessage\n\t// (e.g. [\"socket0\"] or [\"socket0\", \"memctrl1\"]). Reused across lines.\n\tselector []string\n\n\t// typeBuf accumulates the concatenated \"type\"+\"type-id\" tag value for the\n\t// current line. Reset at the start of each line's tag-decode loop.\n\ttypeBuf []byte\n\n\t// subTypeBuf accumulates the concatenated \"subtype\"+\"stype-id\" tag value.\n\t// Reset at the start of each line's tag-decode loop.\n\tsubTypeBuf []byte\n\n\t// prevTypeBytes / prevTypeStr cache the last seen typeBuf content and its\n\t// string conversion. Because consecutive lines in a batch typically address\n\t// the same sub-device, the cache hit rate is very high and avoids\n\t// repeated []byte→string allocations.\n\tprevTypeBytes []byte\n\tprevTypeStr   string\n\n\t// prevSubTypeBytes / prevSubTypeStr are the same cache for the subtype.\n\tprevSubTypeBytes []byte\n\tprevSubTypeStr   string\n}\n\n// decodeStatePool recycles decodeState values across DecodeLine calls to\n// reduce GC pressure during sustained metric ingestion.\nvar decodeStatePool = sync.Pool{\n\tNew: func() any {\n\t\treturn &decodeState{\n\t\t\tmetricBuf:  make([]byte, 0, 16),\n\t\t\tselector:   make([]string, 0, 4),\n\t\t\ttypeBuf:    make([]byte, 0, 16),\n\t\t\tsubTypeBuf: make([]byte, 0, 16),\n\t\t}\n\t},\n}\n\n// DecodeLine reads all lines from dec (InfluxDB line-protocol) and writes each\n// decoded metric sample into ms.\n//\n// clusterDefault is used as the cluster name for lines that do not carry a\n// \"cluster\" tag. Callers typically supply the ClusterTag value from the NATS\n// subscription configuration.\n//\n// Performance notes:\n//   - A decodeState is obtained from decodeStatePool to reuse scratch buffers.\n//   - The Level pointer (host-level node in the metric tree) is cached across\n//     consecutive lines that share the same cluster+host pair to avoid\n//     repeated lock acquisitions on the root and cluster levels.\n//   - []byte→string conversions for type/subtype selectors are cached via\n//     prevType*/prevSubType* fields because batches typically repeat the same\n//     sub-device identifiers.\n//   - Timestamp parsing tries Second precision first; if that fails it retries\n//     Millisecond, Microsecond, and Nanosecond in turn. A missing timestamp\n//     falls back to time.Now().\n//\n// When the checkpoint format is \"wal\" each successfully decoded sample is also\n// sent to WALMessages so the WAL staging goroutine can persist it durably\n// before the next binary snapshot.\nfunc DecodeLine(dec *lineprotocol.Decoder,\n\tms *MemoryStore,\n\tclusterDefault string,\n) error {\n\t// Reduce allocations in loop:\n\tt := time.Now()\n\tmetric := Metric{}\n\tst := decodeStatePool.Get().(*decodeState)\n\tdefer decodeStatePool.Put(st)\n\n\t// Optimize for the case where all lines in a \"batch\" are about the same\n\t// cluster and host. By using `WriteToLevel` (level = host), we do not need\n\t// to take the root- and cluster-level lock as often.\n\tvar lvl *Level = nil\n\tprevCluster, prevHost := \"\", \"\"\n\n\tvar ok bool\n\tfor dec.Next() {\n\t\trawmeasurement, err := dec.Measurement()\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\t// Needs to be copied because another call to dec.* would\n\t\t// invalidate the returned slice.\n\t\tst.metricBuf = append(st.metricBuf[:0], rawmeasurement...)\n\n\t\t// The go compiler optimizes map[string(byteslice)] lookups:\n\t\tmetric.MetricConfig, ok = ms.Metrics[string(rawmeasurement)]\n\t\tif !ok {\n\t\t\tcontinue\n\t\t}\n\n\t\tst.typeBuf, st.subTypeBuf = st.typeBuf[:0], st.subTypeBuf[:0]\n\t\tcluster, host := clusterDefault, \"\"\n\t\tfor {\n\t\t\tkey, val, err := dec.NextTag()\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tif key == nil {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\t// The go compiler optimizes string([]byte{...}) == \"...\":\n\t\t\tswitch string(key) {\n\t\t\tcase \"cluster\":\n\t\t\t\tif string(val) == prevCluster {\n\t\t\t\t\tcluster = prevCluster\n\t\t\t\t} else {\n\t\t\t\t\tcluster = string(val)\n\t\t\t\t\tlvl = nil\n\t\t\t\t}\n\t\t\tcase \"hostname\", \"host\":\n\t\t\t\tif string(val) == prevHost {\n\t\t\t\t\thost = prevHost\n\t\t\t\t} else {\n\t\t\t\t\thost = string(val)\n\t\t\t\t\tlvl = nil\n\t\t\t\t}\n\t\t\tcase \"type\":\n\t\t\t\tif string(val) == \"node\" {\n\t\t\t\t\tbreak\n\t\t\t\t}\n\n\t\t\t\t// We cannot be sure that the \"type\" tag comes before the \"type-id\" tag:\n\t\t\t\tif len(st.typeBuf) == 0 {\n\t\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n\t\t\t\t} else {\n\t\t\t\t\tst.typeBuf = reorder(st.typeBuf, val)\n\t\t\t\t}\n\t\t\tcase \"type-id\":\n\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n\t\t\tcase \"subtype\":\n\t\t\t\t// We cannot be sure that the \"subtype\" tag comes before the \"stype-id\" tag:\n\t\t\t\tif len(st.subTypeBuf) == 0 {\n\t\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n\t\t\t\t} else {\n\t\t\t\t\tst.subTypeBuf = reorder(st.subTypeBuf, val)\n\t\t\t\t}\n\t\t\tcase \"stype-id\":\n\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n\t\t\tdefault:\n\t\t\t}\n\t\t}\n\n\t\t// If the cluster or host changed, the lvl was set to nil\n\t\tif lvl == nil {\n\t\t\tst.selector = st.selector[:2]\n\t\t\tst.selector[0], st.selector[1] = cluster, host\n\t\t\tlvl = ms.GetLevel(st.selector)\n\t\t\tprevCluster, prevHost = cluster, host\n\t\t}\n\n\t\t// subtypes: cache []byte→string conversions; messages in a batch typically\n\t\t// share the same type/subtype so the hit rate is very high.\n\t\tst.selector = st.selector[:0]\n\t\tif len(st.typeBuf) > 0 {\n\t\t\tif !bytes.Equal(st.typeBuf, st.prevTypeBytes) {\n\t\t\t\tst.prevTypeBytes = append(st.prevTypeBytes[:0], st.typeBuf...)\n\t\t\t\tst.prevTypeStr = string(st.typeBuf)\n\t\t\t}\n\t\t\tst.selector = append(st.selector, st.prevTypeStr)\n\t\t\tif len(st.subTypeBuf) > 0 {\n\t\t\t\tif !bytes.Equal(st.subTypeBuf, st.prevSubTypeBytes) {\n\t\t\t\t\tst.prevSubTypeBytes = append(st.prevSubTypeBytes[:0], st.subTypeBuf...)\n\t\t\t\t\tst.prevSubTypeStr = string(st.subTypeBuf)\n\t\t\t\t}\n\t\t\t\tst.selector = append(st.selector, st.prevSubTypeStr)\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tkey, val, err := dec.NextField()\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tif key == nil {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\tif string(key) != \"value\" {\n\t\t\t\treturn fmt.Errorf(\"host %s: unknown field: '%s' (value: %#v)\", host, string(key), val)\n\t\t\t}\n\n\t\t\tif val.Kind() == lineprotocol.Float {\n\t\t\t\tmetric.Value = schema.Float(val.FloatV())\n\t\t\t} else if val.Kind() == lineprotocol.Int {\n\t\t\t\tmetric.Value = schema.Float(val.IntV())\n\t\t\t} else if val.Kind() == lineprotocol.Uint {\n\t\t\t\tmetric.Value = schema.Float(val.UintV())\n\t\t\t} else {\n\t\t\t\treturn fmt.Errorf(\"host %s: unsupported value type in message: %s\", host, val.Kind().String())\n\t\t\t}\n\t\t}\n\n\t\tif t, err = dec.Time(lineprotocol.Second, t); err != nil {\n\t\t\tt = time.Now()\n\t\t\tif t, err = dec.Time(lineprotocol.Millisecond, t); err != nil {\n\t\t\t\tt = time.Now()\n\t\t\t\tif t, err = dec.Time(lineprotocol.Microsecond, t); err != nil {\n\t\t\t\t\tt = time.Now()\n\t\t\t\t\tif t, err = dec.Time(lineprotocol.Nanosecond, t); err != nil {\n\t\t\t\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n\t\t}\n\n\t\ttime := t.Unix()\n\n\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\t\tmsg := &WALMessage{\n\t\t\t\tMetricName: string(st.metricBuf),\n\t\t\t\tCluster:    cluster,\n\t\t\t\tNode:       host,\n\t\t\t\tSelector:   append([]string{}, st.selector...),\n\t\t\t\tValue:      metric.Value,\n\t\t\t\tTimestamp:  time,\n\t\t\t}\n\t\t\tselect {\n\t\t\tcase WALMessages <- msg:\n\t\t\tdefault:\n\t\t\t\t// WAL channel full — metric is written to memory store but not WAL.\n\t\t\t\t// Next binary snapshot will capture it.\n\t\t\t\tif dropped := walDropped.Add(1); dropped%10000 == 1 {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> WAL channel full, dropped %d messages (data safe in memory, next snapshot will capture)\", dropped)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n\t\t\tcclog.Warnf(\"write error for host %s metric %s at ts %d: %s\", host, string(st.metricBuf), time, err.Error())\n\t\t\tcontinue\n\t\t}\n\t}\n\treturn nil\n}\n","numLines":382,"startLine":1,"totalLines":382}},"sourceToolAssistantUUID":"89e8ab32-1c9d-4c0d-b4c3-a3d9fad1a16b","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"parentUuid":"857ea268-ae28-4dde-bae7-4a938c7bfc2c","isSidechain":false,"promptId":"53f7aeff-f280-4fa6-a195-55ff40087d7e","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012X88QcakG9hKNwYLbzPDDG","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package metricstore provides an efficient in-memory time-series metric storage system\n     7→// with support for hierarchical data organization, checkpointing, and archiving.\n     8→//\n     9→// The package organizes metrics in a tree structure (cluster → host → component) and\n    10→// provides concurrent read/write access to metric data with configurable aggregation strategies.\n    11→// Background goroutines handle periodic checkpointing (JSON or Avro format), archiving old data,\n    12→// and enforcing retention policies.\n    13→//\n    14→// Key features:\n    15→//   - In-memory metric storage with configurable retention\n    16→//   - Hierarchical data organization (selectors)\n    17→//   - Concurrent checkpoint/archive workers\n    18→//   - Support for sum and average aggregation\n    19→//   - NATS integration for metric ingestion\n    20→package metricstore\n    21→\n    22→import (\n    23→\t\"bytes\"\n    24→\t\"context\"\n    25→\t\"encoding/json\"\n    26→\t\"errors\"\n    27→\t\"fmt\"\n    28→\t\"runtime\"\n    29→\t\"runtime/debug\"\n    30→\t\"slices\"\n    31→\t\"sync\"\n    32→\t\"time\"\n    33→\n    34→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    35→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    36→\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n    37→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    38→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n    39→)\n    40→\n    41→// GlobalState holds the global state for the metric store with thread-safe access.\n    42→type GlobalState struct {\n    43→\tmu                sync.RWMutex\n    44→\tlastRetentionTime int64\n    45→\tselectorsExcluded bool\n    46→}\n    47→\n    48→var (\n    49→\tsingleton  sync.Once\n    50→\tmsInstance *MemoryStore\n    51→\t// shutdownFunc stores the context cancellation function created in Init\n    52→\t// and is called during Shutdown to cancel all background goroutines\n    53→\tshutdownFunc   context.CancelFunc\n    54→\tshutdownFuncMu sync.Mutex // Protects shutdownFunc from concurrent access\n    55→\t// Create a global instance\n    56→\tstate = &GlobalState{}\n    57→)\n    58→\n    59→// NodeProvider provides information about nodes currently in use by running jobs.\n    60→//\n    61→// This interface allows metricstore to query job information without directly\n    62→// depending on the repository package, breaking the import cycle.\n    63→//\n    64→// Implementations should return nodes that are actively processing jobs started\n    65→// before the given timestamp. These nodes will be excluded from retention-based\n    66→// garbage collection to prevent data loss for jobs that are still running or\n    67→// recently completed.\n    68→type NodeProvider interface {\n    69→\t// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n    70→\t// that are currently in use by jobs that started before the given timestamp.\n    71→\t//\n    72→\t// Parameters:\n    73→\t//   - ts: Unix timestamp threshold - returns nodes with jobs started before this time\n    74→\t//\n    75→\t// Returns:\n    76→\t//   - Map of cluster names to lists of node hostnames that should be excluded from garbage collection\n    77→\t//   - Error if the query fails\n    78→\tGetUsedNodes(ts int64) (map[string][]string, error)\n    79→}\n    80→\n    81→// Metric represents a single metric data point to be written to the store.\n    82→type Metric struct {\n    83→\tName  string\n    84→\tValue schema.Float\n    85→\t// MetricConfig contains frequency and aggregation settings for this metric.\n    86→\t// If Frequency is 0, configuration will be looked up from MemoryStore.Metrics during Write().\n    87→\tMetricConfig MetricConfig\n    88→}\n    89→\n    90→// MemoryStore is the main in-memory time-series metric storage implementation.\n    91→//\n    92→// It organizes metrics in a hierarchical tree structure where each level represents\n    93→// a component of the system hierarchy (e.g., cluster → host → CPU). Each level can\n    94→// store multiple metrics as time-series buffers.\n    95→//\n    96→// The store is initialized as a singleton via InitMetrics() and accessed via GetMemoryStore().\n    97→// All public methods are safe for concurrent use.\n    98→type MemoryStore struct {\n    99→\tMetrics      map[string]MetricConfig\n   100→\troot         Level\n   101→\tnodeProvider NodeProvider\n   102→}\n   103→\n   104→// Init initializes the metric store from configuration and starts background workers.\n   105→//\n   106→// This function must be called exactly once before any other metricstore operations.\n   107→// It performs the following initialization steps:\n   108→//  1. Validates and decodes the metric store configuration\n   109→//  2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n   110→//  3. Loads metric configurations from all registered clusters\n   111→//  4. Restores checkpoints within the retention window\n   112→//  5. Starts background workers for retention, checkpointing, archiving, and monitoring\n   113→//  6. Optionally subscribes to NATS for real-time metric ingestion\n   114→//\n   115→// Parameters:\n   116→//   - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n   117→//   - wg: WaitGroup that will be incremented for each background goroutine started\n   118→//\n   119→// The function will call cclog.Fatal on critical errors during initialization.\n   120→// Use Shutdown() to cleanly stop all background workers started by Init().\n   121→//\n   122→// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n   123→// receiving termination signals to ensure checkpoint data is persisted.\n   124→func Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n   125→\tstartupTime := time.Now()\n   126→\n   127→\tif rawConfig != nil {\n   128→\t\tconfig.Validate(configSchema, rawConfig)\n   129→\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n   130→\t\tdec.DisallowUnknownFields()\n   131→\t\tif err := dec.Decode(&Keys); err != nil {\n   132→\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n   133→\t\t}\n   134→\t}\n   135→\n   136→\t// Set NumWorkers from config or use default\n   137→\tif Keys.NumWorkers <= 0 {\n   138→\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n   139→\t}\n   140→\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n   141→\n   142→\t// Pass the config.MetricStoreKeys\n   143→\tInitMetrics(metrics)\n   144→\n   145→\tms := GetMemoryStore()\n   146→\n   147→\td, err := time.ParseDuration(Keys.RetentionInMemory)\n   148→\tif err != nil {\n   149→\t\tcclog.Fatal(err)\n   150→\t}\n   151→\n   152→\trestoreFrom := startupTime.Add(-d)\n   153→\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n   154→\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n   155→\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n   156→\tif err != nil {\n   157→\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n   158→\t} else {\n   159→\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n   160→\t}\n   161→\n   162→\t// Try to use less memory by forcing a GC run here and then\n   163→\t// lowering the target percentage. The default of 100 means\n   164→\t// that only once the ratio of new allocations execeds the\n   165→\t// previously active heap, a GC is triggered.\n   166→\t// Forcing a GC here will set the \"previously active heap\"\n   167→\t// to a minumum.\n   168→\t// runtime.GC()\n   169→\n   170→\tctx, shutdown := context.WithCancel(context.Background())\n   171→\n   172→\tRetention(wg, ctx)\n   173→\tCheckpointing(wg, ctx)\n   174→\tCleanUp(wg, ctx)\n   175→\tWALStaging(wg, ctx)\n   176→\tMemoryUsageTracker(wg, ctx)\n   177→\n   178→\t// Note: Signal handling has been removed from this function.\n   179→\t// The caller is responsible for handling shutdown signals and calling\n   180→\t// the shutdown() function when appropriate.\n   181→\t// Store the shutdown function for later use by Shutdown()\n   182→\tshutdownFuncMu.Lock()\n   183→\tshutdownFunc = shutdown\n   184→\tshutdownFuncMu.Unlock()\n   185→\n   186→\tif Keys.Subscriptions != nil {\n   187→\t\terr = ReceiveNats(ms, Keys.NumWorkers, ctx)\n   188→\t\tif err != nil {\n   189→\t\t\tcclog.Fatal(err)\n   190→\t\t}\n   191→\t}\n   192→}\n   193→\n   194→// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n   195→//\n   196→// This function must be called before GetMemoryStore() and can only be called once due to\n   197→// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n   198→//\n   199→// Parameters:\n   200→//   - metrics: Map of metric names to their configurations (frequency and aggregation strategy)\n   201→//\n   202→// Panics if any metric has Frequency == 0, which indicates an invalid configuration.\n   203→//\n   204→// After this call, the global msInstance is ready for use via GetMemoryStore().\n   205→func InitMetrics(metrics map[string]MetricConfig) {\n   206→\tsingleton.Do(func() {\n   207→\t\toffset := 0\n   208→\t\tfor key, cfg := range metrics {\n   209→\t\t\tif cfg.Frequency == 0 {\n   210→\t\t\t\tpanic(\"[METRICSTORE]> invalid frequency\")\n   211→\t\t\t}\n   212→\n   213→\t\t\tmetrics[key] = MetricConfig{\n   214→\t\t\t\tFrequency:   cfg.Frequency,\n   215→\t\t\t\tAggregation: cfg.Aggregation,\n   216→\t\t\t\toffset:      offset,\n   217→\t\t\t}\n   218→\t\t\toffset += 1\n   219→\t\t}\n   220→\n   221→\t\tmsInstance = &MemoryStore{\n   222→\t\t\troot: Level{\n   223→\t\t\t\tmetrics:  make([]*buffer, len(metrics)),\n   224→\t\t\t\tchildren: make(map[string]*Level),\n   225→\t\t\t},\n   226→\t\t\tMetrics: metrics,\n   227→\t\t}\n   228→\t})\n   229→}\n   230→\n   231→// GetMemoryStore returns the singleton MemoryStore instance.\n   232→//\n   233→// Returns the initialized MemoryStore singleton. Calls cclog.Fatal if InitMetrics() was not called first.\n   234→//\n   235→// This function is safe for concurrent use after initialization.\n   236→func GetMemoryStore() *MemoryStore {\n   237→\tif msInstance == nil {\n   238→\t\tcclog.Warnf(\"[METRICSTORE]> MemoryStore not initialized!\")\n   239→\t}\n   240→\n   241→\treturn msInstance\n   242→}\n   243→\n   244→func (ms *MemoryStore) GetMetricFrequency(metricName string) (int64, error) {\n   245→\tif metric, ok := ms.Metrics[metricName]; ok {\n   246→\t\treturn metric.Frequency, nil\n   247→\t}\n   248→\treturn 0, fmt.Errorf(\"[METRICSTORE]> metric %s not found\", metricName)\n   249→}\n   250→\n   251→// SetNodeProvider sets the NodeProvider implementation for the MemoryStore.\n   252→// This must be called during initialization to provide job state information\n   253→// for selective buffer retention during Free operations.\n   254→// If not set, the Free function will fall back to freeing all buffers.\n   255→func (ms *MemoryStore) SetNodeProvider(provider NodeProvider) {\n   256→\tms.nodeProvider = provider\n   257→}\n   258→\n   259→// Shutdown performs a graceful shutdown of the metric store.\n   260→//\n   261→// This function cancels all background goroutines started by Init() and writes\n   262→// a final checkpoint to disk before returning. It should be called when the\n   263→// application receives a termination signal.\n   264→//\n   265→// The function will:\n   266→//  1. Cancel the context to stop all background workers\n   267→//  2. Close the WAL messages channel if using WAL format\n   268→//  3. Write a final checkpoint to preserve in-memory data\n   269→//  4. Log any errors encountered during shutdown\n   270→//\n   271→// Note: This function blocks until the final checkpoint is written.\n   272→func Shutdown() {\n   273→\tshutdownFuncMu.Lock()\n   274→\tdefer shutdownFuncMu.Unlock()\n   275→\tif shutdownFunc != nil {\n   276→\t\tshutdownFunc()\n   277→\t}\n   278→\n   279→\tif Keys.Checkpoints.FileFormat == \"wal\" {\n   280→\t\tclose(WALMessages)\n   281→\t}\n   282→\n   283→\tcclog.Infof(\"[METRICSTORE]> Writing to '%s'...\\n\", Keys.Checkpoints.RootDir)\n   284→\tvar files int\n   285→\tvar err error\n   286→\n   287→\tms := GetMemoryStore()\n   288→\n   289→\tlastCheckpointMu.Lock()\n   290→\tfrom := lastCheckpoint\n   291→\tlastCheckpointMu.Unlock()\n   292→\n   293→\tif Keys.Checkpoints.FileFormat == \"wal\" {\n   294→\t\tvar hostDirs []string\n   295→\t\tfiles, hostDirs, err = ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n   296→\t\tif err == nil {\n   297→\t\t\tRotateWALFilesAfterShutdown(hostDirs)\n   298→\t\t}\n   299→\t} else {\n   300→\t\tfiles, err = ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n   301→\t}\n   302→\n   303→\tif err != nil {\n   304→\t\tcclog.Errorf(\"[METRICSTORE]> Writing checkpoint failed: %s\\n\", err.Error())\n   305→\t}\n   306→\tcclog.Infof(\"[METRICSTORE]> Done! (%d files written)\\n\", files)\n   307→}\n   308→\n   309→// Retention starts a background goroutine that periodically frees old metric data.\n   310→//\n   311→// This worker runs at half the retention interval and calls Free() to remove buffers\n   312→// older than the configured retention time. It respects the NodeProvider to preserve\n   313→// data for nodes with active jobs.\n   314→//\n   315→// Parameters:\n   316→//   - wg: WaitGroup to signal completion when context is cancelled\n   317→//   - ctx: Context for cancellation signal\n   318→//\n   319→// The goroutine exits when ctx is cancelled.\n   320→func Retention(wg *sync.WaitGroup, ctx context.Context) {\n   321→\tms := GetMemoryStore()\n   322→\n   323→\twg.Go(func() {\n   324→\t\td, err := time.ParseDuration(Keys.RetentionInMemory)\n   325→\t\tif err != nil {\n   326→\t\t\tcclog.Fatal(err)\n   327→\t\t}\n   328→\t\tif d <= 0 {\n   329→\t\t\treturn\n   330→\t\t}\n   331→\n   332→\t\ttickInterval := d / 2\n   333→\t\tif tickInterval <= 0 {\n   334→\t\t\treturn\n   335→\t\t}\n   336→\t\tticker := time.NewTicker(tickInterval)\n   337→\t\tdefer ticker.Stop()\n   338→\n   339→\t\tfor {\n   340→\t\t\tselect {\n   341→\t\t\tcase <-ctx.Done():\n   342→\t\t\t\treturn\n   343→\t\t\tcase <-ticker.C:\n   344→\t\t\t\tstate.mu.Lock()\n   345→\n   346→\t\t\t\tt := time.Now().Add(-d)\n   347→\n   348→\t\t\t\tstate.lastRetentionTime = t.Unix()\n   349→\n   350→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start freeing buffers (older than %s)...\\n\", t.Format(time.RFC3339))\n   351→\n   352→\t\t\t\tfreed, err := Free(ms, t)\n   353→\t\t\t\tif err != nil {\n   354→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> freeing up buffers failed: %s\\n\", err.Error())\n   355→\t\t\t\t} else {\n   356→\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d buffers freed\\n\", freed)\n   357→\t\t\t\t}\n   358→\n   359→\t\t\t\tstate.mu.Unlock()\n   360→\n   361→\t\t\t\t// Clean up the buffer pool\n   362→\t\t\t\tbufferPool.Clean(state.lastRetentionTime)\n   363→\t\t\t}\n   364→\t\t}\n   365→\t})\n   366→}\n   367→\n   368→// MemoryUsageTracker starts a background goroutine that monitors memory usage.\n   369→//\n   370→// This worker checks actual process memory usage (via runtime.MemStats) periodically\n   371→// and force-frees buffers if memory exceeds the configured cap. It uses FreeOSMemory()\n   372→// to return memory to the OS after freeing buffers, avoiding aggressive GC that causes\n   373→// performance issues.\n   374→//\n   375→// The tracker logs both actual memory usage (heap allocated) and metric data size for\n   376→// visibility into memory overhead from Go runtime structures and allocations.\n   377→//\n   378→// Parameters:\n   379→//   - wg: WaitGroup to signal completion when context is cancelled\n   380→//   - ctx: Context for cancellation signal\n   381→//\n   382→// The goroutine exits when ctx is cancelled.\n   383→func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n   384→\tms := GetMemoryStore()\n   385→\n   386→\twg.Go(func() {\n   387→\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n   388→\t\tfastInterval := 30 * time.Second\n   389→\n   390→\t\tif normalInterval <= 0 {\n   391→\t\t\treturn\n   392→\t\t}\n   393→\n   394→\t\tticker := time.NewTicker(normalInterval)\n   395→\t\tdefer ticker.Stop()\n   396→\t\tcurrentInterval := normalInterval\n   397→\n   398→\t\tfor {\n   399→\t\t\tselect {\n   400→\t\t\tcase <-ctx.Done():\n   401→\t\t\t\treturn\n   402→\t\t\tcase <-ticker.C:\n   403→\t\t\t\tvar mem runtime.MemStats\n   404→\t\t\t\truntime.ReadMemStats(&mem)\n   405→\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n   406→\t\t\t\tmetricDataGB := ms.SizeInGB()\n   407→\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n   408→\n   409→\t\t\t\tfreedExcluded := 0\n   410→\t\t\t\tfreedEmergency := 0\n   411→\t\t\t\tvar err error\n   412→\n   413→\t\t\t\tstate.mu.RLock()\n   414→\t\t\t\tlastRetention := state.lastRetentionTime\n   415→\t\t\t\tselectorsExcluded := state.selectorsExcluded\n   416→\t\t\t\tstate.mu.RUnlock()\n   417→\n   418→\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n   419→\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n   420→\t\t\t\t\tif err != nil {\n   421→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n   422→\t\t\t\t\t}\n   423→\n   424→\t\t\t\t\tif freedExcluded > 0 {\n   425→\t\t\t\t\t\tdebug.FreeOSMemory()\n   426→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n   427→\t\t\t\t\t}\n   428→\t\t\t\t}\n   429→\n   430→\t\t\t\truntime.ReadMemStats(&mem)\n   431→\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n   432→\n   433→\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n   434→\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n   435→\n   436→\t\t\t\t\t// Use progressive time-based Free with increasing threshold\n   437→\t\t\t\t\t// instead of ForceFree loop — fewer tree traversals, more effective\n   438→\t\t\t\t\td, parseErr := time.ParseDuration(Keys.RetentionInMemory)\n   439→\t\t\t\t\tif parseErr != nil {\n   440→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> cannot parse retention duration: %s\", parseErr)\n   441→\t\t\t\t\t} else {\n   442→\t\t\t\t\t\tthresholds := []float64{0.75, 0.5, 0.25}\n   443→\t\t\t\t\t\tfor _, fraction := range thresholds {\n   444→\t\t\t\t\t\t\tthreshold := time.Now().Add(-time.Duration(float64(d) * fraction))\n   445→\t\t\t\t\t\t\tfreed, freeErr := ms.Free(nil, threshold.Unix())\n   446→\t\t\t\t\t\t\tif freeErr != nil {\n   447→\t\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s\", fraction*100, freeErr)\n   448→\t\t\t\t\t\t\t}\n   449→\t\t\t\t\t\t\tfreedEmergency += freed\n   450→\n   451→\t\t\t\t\t\t\tbufferPool.Clear()\n   452→\t\t\t\t\t\t\truntime.GC()\n   453→\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n   454→\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n   455→\n   456→\t\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n   457→\t\t\t\t\t\t\t\tbreak\n   458→\t\t\t\t\t\t\t}\n   459→\t\t\t\t\t\t}\n   460→\t\t\t\t\t}\n   461→\n   462→\t\t\t\t\tbufferPool.Clear()\n   463→\t\t\t\t\tdebug.FreeOSMemory()\n   464→\n   465→\t\t\t\t\truntime.ReadMemStats(&mem)\n   466→\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n   467→\n   468→\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n   469→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after emergency frees (%d buffers), memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n   470→\t\t\t\t\t} else {\n   471→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n   472→\t\t\t\t\t}\n   473→\t\t\t\t}\n   474→\n   475→\t\t\t\t// Adaptive ticker: check more frequently when memory is high\n   476→\t\t\t\tmemoryRatio := actualMemoryGB / float64(Keys.MemoryCap)\n   477→\t\t\t\tif memoryRatio > 0.8 && currentInterval != fastInterval {\n   478→\t\t\t\t\tticker.Reset(fastInterval)\n   479→\t\t\t\t\tcurrentInterval = fastInterval\n   480→\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)\", memoryRatio*100)\n   481→\t\t\t\t} else if memoryRatio <= 0.8 && currentInterval != normalInterval {\n   482→\t\t\t\t\tticker.Reset(normalInterval)\n   483→\t\t\t\t\tcurrentInterval = normalInterval\n   484→\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval\", memoryRatio*100)\n   485→\t\t\t\t}\n   486→\t\t\t}\n   487→\t\t}\n   488→\t})\n   489→}\n   490→\n   491→// Free removes metric data older than the given time while preserving data for active nodes.\n   492→//\n   493→// This function implements intelligent retention by consulting the NodeProvider (if configured)\n   494→// to determine which nodes are currently in use by running jobs. Data for these nodes is\n   495→// preserved even if older than the retention time.\n   496→//\n   497→// Parameters:\n   498→//   - ms: The MemoryStore instance\n   499→//   - t: Time threshold - buffers with data older than this will be freed\n   500→//\n   501→// Returns:\n   502→//   - Number of buffers freed\n   503→//   - Error if NodeProvider query fails\n   504→//\n   505→// Behavior:\n   506→//   - If no NodeProvider is set: frees all buffers older than t\n   507→//   - If NodeProvider returns empty map: frees all buffers older than t\n   508→//   - Otherwise: preserves buffers for nodes returned by GetUsedNodes(), frees others\n   509→func Free(ms *MemoryStore, t time.Time) (int, error) {\n   510→\t// If no NodeProvider is configured, free all buffers older than t\n   511→\tif ms.nodeProvider == nil {\n   512→\t\treturn ms.Free(nil, t.Unix())\n   513→\t}\n   514→\n   515→\texcludeSelectors, err := ms.nodeProvider.GetUsedNodes(t.Unix())\n   516→\tif err != nil {\n   517→\t\treturn 0, err\n   518→\t}\n   519→\n   520→\tswitch lenMap := len(excludeSelectors); lenMap {\n   521→\n   522→\t// If the length of the map returned by GetUsedNodes() is 0,\n   523→\t// then use default Free method with nil selector\n   524→\tcase 0:\n   525→\t\tstate.selectorsExcluded = false\n   526→\t\treturn ms.Free(nil, t.Unix())\n   527→\n   528→\t// Else formulate selectors, exclude those from the map\n   529→\t// and free the rest of the selectors\n   530→\tdefault:\n   531→\t\tstate.selectorsExcluded = true\n   532→\t\tselectors := GetSelectors(ms, excludeSelectors)\n   533→\t\treturn FreeSelected(ms, selectors, t)\n   534→\t}\n   535→}\n   536→\n   537→// FreeSelected frees buffers for specific selectors while preserving others.\n   538→//\n   539→// This function is used when we want to retain some specific nodes beyond the retention time.\n   540→// It iterates through the provided selectors and frees their associated buffers.\n   541→//\n   542→// Parameters:\n   543→//   - ms: The MemoryStore instance\n   544→//   - selectors: List of selector paths to free (e.g., [[\"cluster1\", \"node1\"], [\"cluster2\", \"node2\"]])\n   545→//   - t: Time threshold for freeing buffers\n   546→//\n   547→// Returns the total number of buffers freed and any error encountered.\n   548→func FreeSelected(ms *MemoryStore, selectors [][]string, t time.Time) (int, error) {\n   549→\tfreed := 0\n   550→\n   551→\tfor _, selector := range selectors {\n   552→\n   553→\t\tfreedBuffers, err := ms.Free(selector, t.Unix())\n   554→\t\tif err != nil {\n   555→\t\t\tcclog.Errorf(\"error while freeing selected buffers: %#v\", err)\n   556→\t\t}\n   557→\t\tfreed += freedBuffers\n   558→\n   559→\t}\n   560→\n   561→\treturn freed, nil\n   562→}\n   563→\n   564→// GetSelectors returns all selectors at depth 2 (cluster/node level) that are NOT in the exclusion map.\n   565→//\n   566→// This function generates a list of selectors whose buffers should be freed by excluding\n   567→// selectors that correspond to nodes currently in use by running jobs.\n   568→//\n   569→// Parameters:\n   570→//   - ms: The MemoryStore instance\n   571→//   - excludeSelectors: Map of cluster names to node hostnames that should NOT be freed\n   572→//\n   573→// Returns a list of selectors ([]string paths) that can be safely freed.\n   574→//\n   575→// Example:\n   576→//\n   577→//\tIf the tree has paths [\"emmy\", \"node001\"] and [\"emmy\", \"node002\"],\n   578→//\tand excludeSelectors contains {\"emmy\": [\"node001\"]},\n   579→//\tthen only [[\"emmy\", \"node002\"]] is returned.\n   580→func GetSelectors(ms *MemoryStore, excludeSelectors map[string][]string) [][]string {\n   581→\tallSelectors := ms.GetPaths(2)\n   582→\n   583→\tfilteredSelectors := make([][]string, 0, len(allSelectors))\n   584→\n   585→\tfor _, path := range allSelectors {\n   586→\t\tif len(path) < 2 {\n   587→\t\t\tcontinue\n   588→\t\t}\n   589→\n   590→\t\tkey := path[0]   // The \"Key\" (Level 1)\n   591→\t\tvalue := path[1] // The \"Value\" (Level 2)\n   592→\n   593→\t\texclude := false\n   594→\n   595→\t\t// Check if the key exists in our exclusion map\n   596→\t\tif excludedValues, exists := excludeSelectors[key]; exists {\n   597→\t\t\t// The key exists, now check if the specific value is in the exclusion list\n   598→\t\t\tif slices.Contains(excludedValues, value) {\n   599→\t\t\t\texclude = true\n   600→\t\t\t}\n   601→\t\t}\n   602→\n   603→\t\tif !exclude {\n   604→\t\t\tfilteredSelectors = append(filteredSelectors, path)\n   605→\t\t}\n   606→\t}\n   607→\n   608→\treturn filteredSelectors\n   609→}\n   610→\n   611→// GetPaths returns a list of lists (paths) to the specified depth.\n   612→func (ms *MemoryStore) GetPaths(targetDepth int) [][]string {\n   613→\tvar results [][]string\n   614→\n   615→\t// Start recursion. Initial path is empty.\n   616→\t// We treat Root as depth 0.\n   617→\tms.root.collectPaths(0, targetDepth, []string{}, &results)\n   618→\n   619→\treturn results\n   620→}\n   621→\n   622→// Write all values in `metrics` to the level specified by `selector` for time `ts`.\n   623→// Look at `findLevelOrCreate` for how selectors work.\n   624→func (m *MemoryStore) Write(selector []string, ts int64, metrics []Metric) error {\n   625→\tvar ok bool\n   626→\tfor i, metric := range metrics {\n   627→\t\tif metric.MetricConfig.Frequency == 0 {\n   628→\t\t\tmetric.MetricConfig, ok = m.Metrics[metric.Name]\n   629→\t\t\tif !ok {\n   630→\t\t\t\tcclog.Debugf(\"[METRICSTORE]> Unknown metric '%s' in Write() - skipping\", metric.Name)\n   631→\t\t\t\tmetric.MetricConfig.Frequency = 0\n   632→\t\t\t}\n   633→\t\t\tmetrics[i] = metric\n   634→\t\t}\n   635→\t}\n   636→\n   637→\treturn m.WriteToLevel(&m.root, selector, ts, metrics)\n   638→}\n   639→\n   640→func (m *MemoryStore) GetLevel(selector []string) *Level {\n   641→\treturn m.root.findLevelOrCreate(selector, len(m.Metrics))\n   642→}\n   643→\n   644→// WriteToLevel assumes that `minfo` in `metrics` is filled in\n   645→func (m *MemoryStore) WriteToLevel(l *Level, selector []string, ts int64, metrics []Metric) error {\n   646→\tl = l.findLevelOrCreate(selector, len(m.Metrics))\n   647→\tl.lock.Lock()\n   648→\tdefer l.lock.Unlock()\n   649→\n   650→\tfor _, metric := range metrics {\n   651→\t\tif metric.MetricConfig.Frequency == 0 {\n   652→\t\t\tcontinue\n   653→\t\t}\n   654→\n   655→\t\tb := l.metrics[metric.MetricConfig.offset]\n   656→\t\tif b == nil {\n   657→\t\t\t// First write to this metric and level\n   658→\t\t\tb = newBuffer(ts, metric.MetricConfig.Frequency)\n   659→\t\t\tl.metrics[metric.MetricConfig.offset] = b\n   660→\t\t}\n   661→\n   662→\t\tnb, err := b.write(ts, metric.Value)\n   663→\t\tif err != nil {\n   664→\t\t\treturn err\n   665→\t\t}\n   666→\n   667→\t\t// Last write created a new buffer...\n   668→\t\tif b != nb {\n   669→\t\t\tl.metrics[metric.MetricConfig.offset] = nb\n   670→\t\t}\n   671→\t}\n   672→\treturn nil\n   673→}\n   674→\n   675→// Read returns all values for metric `metric` from `from` to `to` for the selected level(s).\n   676→// If the level does not hold the metric itself, the data will be aggregated recursively from the children.\n   677→// The second and third return value are the actual from/to for the data. Those can be different from\n   678→// the range asked for if no data was available.\n   679→func (m *MemoryStore) Read(selector util.Selector, metric string, from, to, resolution int64) ([]schema.Float, int64, int64, int64, error) {\n   680→\tif from > to {\n   681→\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid time range\")\n   682→\t}\n   683→\n   684→\tminfo, ok := m.Metrics[metric]\n   685→\tif !ok {\n   686→\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> unknown metric: \" + metric)\n   687→\t}\n   688→\n   689→\tn, data := 0, make([]schema.Float, (to-from)/minfo.Frequency+1)\n   690→\n   691→\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n   692→\t\tcdata, cfrom, cto, err := b.read(from, to, data)\n   693→\t\tif err != nil {\n   694→\t\t\treturn err\n   695→\t\t}\n   696→\n   697→\t\tif n == 0 {\n   698→\t\t\tfrom, to = cfrom, cto\n   699→\t\t} else if from != cfrom || to != cto || len(data) != len(cdata) {\n   700→\t\t\tmissingfront, missingback := int((from-cfrom)/minfo.Frequency), int((to-cto)/minfo.Frequency)\n   701→\t\t\tif missingfront != 0 {\n   702→\t\t\t\treturn ErrDataDoesNotAlign\n   703→\t\t\t}\n   704→\n   705→\t\t\tnewlen := len(cdata) - missingback\n   706→\t\t\tif newlen < 1 {\n   707→\t\t\t\treturn ErrDataDoesNotAlign\n   708→\t\t\t}\n   709→\t\t\tcdata = cdata[0:newlen]\n   710→\t\t\tif len(cdata) != len(data) {\n   711→\t\t\t\treturn ErrDataDoesNotAlign\n   712→\t\t\t}\n   713→\n   714→\t\t\tfrom, to = cfrom, cto\n   715→\t\t}\n   716→\n   717→\t\tdata = cdata\n   718→\t\tn += 1\n   719→\t\treturn nil\n   720→\t})\n   721→\n   722→\tif err != nil {\n   723→\t\treturn nil, 0, 0, 0, err\n   724→\t} else if n == 0 {\n   725→\t\treturn nil, 0, 0, 0, ErrNoHostOrMetric\n   726→\t} else if n > 1 {\n   727→\t\tif minfo.Aggregation == AvgAggregation {\n   728→\t\t\tnormalize := 1. / schema.Float(n)\n   729→\t\t\tfor i := 0; i < len(data); i++ {\n   730→\t\t\t\tdata[i] *= normalize\n   731→\t\t\t}\n   732→\t\t} else if minfo.Aggregation != SumAggregation {\n   733→\t\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid aggregation\")\n   734→\t\t}\n   735→\t}\n   736→\n   737→\tdata, resolution, err = resampler.LargestTriangleThreeBucket(data, minfo.Frequency, resolution)\n   738→\tif err != nil {\n   739→\t\treturn nil, 0, 0, 0, err\n   740→\t}\n   741→\n   742→\treturn data, from, to, resolution, nil\n   743→}\n   744→\n   745→// Free releases all buffers for the selected level and all its children that\n   746→// contain only values older than `t`.\n   747→func (m *MemoryStore) Free(selector []string, t int64) (int, error) {\n   748→\treturn m.GetLevel(selector).free(t)\n   749→}\n   750→\n   751→// ForceFree unconditionally removes the oldest buffer from each metric chain.\n   752→func (m *MemoryStore) ForceFree() (int, error) {\n   753→\treturn m.GetLevel(nil).forceFree()\n   754→}\n   755→\n   756→func (m *MemoryStore) FreeAll() error {\n   757→\tm.root.lock.Lock()\n   758→\tdefer m.root.lock.Unlock()\n   759→\n   760→\tfor k := range m.root.children {\n   761→\t\tdelete(m.root.children, k)\n   762→\t}\n   763→\n   764→\treturn nil\n   765→}\n   766→\n   767→func (m *MemoryStore) SizeInBytes() int64 {\n   768→\treturn m.root.sizeInBytes()\n   769→}\n   770→\n   771→func (m *MemoryStore) SizeInGB() float64 {\n   772→\treturn float64(m.root.sizeInBytes()) / 1e9\n   773→}\n   774→\n   775→// ListChildren , given a selector, returns a list of all children of the level\n   776→// selected.\n   777→func (m *MemoryStore) ListChildren(selector []string) []string {\n   778→\tlvl := &m.root\n   779→\tfor lvl != nil && len(selector) != 0 {\n   780→\t\tlvl.lock.RLock()\n   781→\t\tnext := lvl.children[selector[0]]\n   782→\t\tlvl.lock.RUnlock()\n   783→\t\tlvl = next\n   784→\t\tselector = selector[1:]\n   785→\t}\n   786→\n   787→\tif lvl == nil {\n   788→\t\treturn nil\n   789→\t}\n   790→\n   791→\tlvl.lock.RLock()\n   792→\tdefer lvl.lock.RUnlock()\n   793→\n   794→\tchildren := make([]string, 0, len(lvl.children))\n   795→\tfor child := range lvl.children {\n   796→\t\tchildren = append(children, child)\n   797→\t}\n   798→\n   799→\treturn children\n   800→}\n   801→"}]},"uuid":"0f4c1787-87de-49e0-99d1-bfbd5aed3be2","timestamp":"2026-03-18T05:29:24.072Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides an efficient in-memory time-series metric storage system\n// with support for hierarchical data organization, checkpointing, and archiving.\n//\n// The package organizes metrics in a tree structure (cluster → host → component) and\n// provides concurrent read/write access to metric data with configurable aggregation strategies.\n// Background goroutines handle periodic checkpointing (JSON or Avro format), archiving old data,\n// and enforcing retention policies.\n//\n// Key features:\n//   - In-memory metric storage with configurable retention\n//   - Hierarchical data organization (selectors)\n//   - Concurrent checkpoint/archive workers\n//   - Support for sum and average aggregation\n//   - NATS integration for metric ingestion\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"runtime\"\n\t\"runtime/debug\"\n\t\"slices\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// GlobalState holds the global state for the metric store with thread-safe access.\ntype GlobalState struct {\n\tmu                sync.RWMutex\n\tlastRetentionTime int64\n\tselectorsExcluded bool\n}\n\nvar (\n\tsingleton  sync.Once\n\tmsInstance *MemoryStore\n\t// shutdownFunc stores the context cancellation function created in Init\n\t// and is called during Shutdown to cancel all background goroutines\n\tshutdownFunc   context.CancelFunc\n\tshutdownFuncMu sync.Mutex // Protects shutdownFunc from concurrent access\n\t// Create a global instance\n\tstate = &GlobalState{}\n)\n\n// NodeProvider provides information about nodes currently in use by running jobs.\n//\n// This interface allows metricstore to query job information without directly\n// depending on the repository package, breaking the import cycle.\n//\n// Implementations should return nodes that are actively processing jobs started\n// before the given timestamp. These nodes will be excluded from retention-based\n// garbage collection to prevent data loss for jobs that are still running or\n// recently completed.\ntype NodeProvider interface {\n\t// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n\t// that are currently in use by jobs that started before the given timestamp.\n\t//\n\t// Parameters:\n\t//   - ts: Unix timestamp threshold - returns nodes with jobs started before this time\n\t//\n\t// Returns:\n\t//   - Map of cluster names to lists of node hostnames that should be excluded from garbage collection\n\t//   - Error if the query fails\n\tGetUsedNodes(ts int64) (map[string][]string, error)\n}\n\n// Metric represents a single metric data point to be written to the store.\ntype Metric struct {\n\tName  string\n\tValue schema.Float\n\t// MetricConfig contains frequency and aggregation settings for this metric.\n\t// If Frequency is 0, configuration will be looked up from MemoryStore.Metrics during Write().\n\tMetricConfig MetricConfig\n}\n\n// MemoryStore is the main in-memory time-series metric storage implementation.\n//\n// It organizes metrics in a hierarchical tree structure where each level represents\n// a component of the system hierarchy (e.g., cluster → host → CPU). Each level can\n// store multiple metrics as time-series buffers.\n//\n// The store is initialized as a singleton via InitMetrics() and accessed via GetMemoryStore().\n// All public methods are safe for concurrent use.\ntype MemoryStore struct {\n\tMetrics      map[string]MetricConfig\n\troot         Level\n\tnodeProvider NodeProvider\n}\n\n// Init initializes the metric store from configuration and starts background workers.\n//\n// This function must be called exactly once before any other metricstore operations.\n// It performs the following initialization steps:\n//  1. Validates and decodes the metric store configuration\n//  2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n//  3. Loads metric configurations from all registered clusters\n//  4. Restores checkpoints within the retention window\n//  5. Starts background workers for retention, checkpointing, archiving, and monitoring\n//  6. Optionally subscribes to NATS for real-time metric ingestion\n//\n// Parameters:\n//   - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n//   - wg: WaitGroup that will be incremented for each background goroutine started\n//\n// The function will call cclog.Fatal on critical errors during initialization.\n// Use Shutdown() to cleanly stop all background workers started by Init().\n//\n// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n// receiving termination signals to ensure checkpoint data is persisted.\nfunc Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n\tstartupTime := time.Now()\n\n\tif rawConfig != nil {\n\t\tconfig.Validate(configSchema, rawConfig)\n\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n\t\tdec.DisallowUnknownFields()\n\t\tif err := dec.Decode(&Keys); err != nil {\n\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n\t\t}\n\t}\n\n\t// Set NumWorkers from config or use default\n\tif Keys.NumWorkers <= 0 {\n\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n\t}\n\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n\n\t// Pass the config.MetricStoreKeys\n\tInitMetrics(metrics)\n\n\tms := GetMemoryStore()\n\n\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\tif err != nil {\n\t\tcclog.Fatal(err)\n\t}\n\n\trestoreFrom := startupTime.Add(-d)\n\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n\tif err != nil {\n\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n\t} else {\n\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n\t}\n\n\t// Try to use less memory by forcing a GC run here and then\n\t// lowering the target percentage. The default of 100 means\n\t// that only once the ratio of new allocations execeds the\n\t// previously active heap, a GC is triggered.\n\t// Forcing a GC here will set the \"previously active heap\"\n\t// to a minumum.\n\t// runtime.GC()\n\n\tctx, shutdown := context.WithCancel(context.Background())\n\n\tRetention(wg, ctx)\n\tCheckpointing(wg, ctx)\n\tCleanUp(wg, ctx)\n\tWALStaging(wg, ctx)\n\tMemoryUsageTracker(wg, ctx)\n\n\t// Note: Signal handling has been removed from this function.\n\t// The caller is responsible for handling shutdown signals and calling\n\t// the shutdown() function when appropriate.\n\t// Store the shutdown function for later use by Shutdown()\n\tshutdownFuncMu.Lock()\n\tshutdownFunc = shutdown\n\tshutdownFuncMu.Unlock()\n\n\tif Keys.Subscriptions != nil {\n\t\terr = ReceiveNats(ms, Keys.NumWorkers, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t}\n}\n\n// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n//\n// This function must be called before GetMemoryStore() and can only be called once due to\n// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n//\n// Parameters:\n//   - metrics: Map of metric names to their configurations (frequency and aggregation strategy)\n//\n// Panics if any metric has Frequency == 0, which indicates an invalid configuration.\n//\n// After this call, the global msInstance is ready for use via GetMemoryStore().\nfunc InitMetrics(metrics map[string]MetricConfig) {\n\tsingleton.Do(func() {\n\t\toffset := 0\n\t\tfor key, cfg := range metrics {\n\t\t\tif cfg.Frequency == 0 {\n\t\t\t\tpanic(\"[METRICSTORE]> invalid frequency\")\n\t\t\t}\n\n\t\t\tmetrics[key] = MetricConfig{\n\t\t\t\tFrequency:   cfg.Frequency,\n\t\t\t\tAggregation: cfg.Aggregation,\n\t\t\t\toffset:      offset,\n\t\t\t}\n\t\t\toffset += 1\n\t\t}\n\n\t\tmsInstance = &MemoryStore{\n\t\t\troot: Level{\n\t\t\t\tmetrics:  make([]*buffer, len(metrics)),\n\t\t\t\tchildren: make(map[string]*Level),\n\t\t\t},\n\t\t\tMetrics: metrics,\n\t\t}\n\t})\n}\n\n// GetMemoryStore returns the singleton MemoryStore instance.\n//\n// Returns the initialized MemoryStore singleton. Calls cclog.Fatal if InitMetrics() was not called first.\n//\n// This function is safe for concurrent use after initialization.\nfunc GetMemoryStore() *MemoryStore {\n\tif msInstance == nil {\n\t\tcclog.Warnf(\"[METRICSTORE]> MemoryStore not initialized!\")\n\t}\n\n\treturn msInstance\n}\n\nfunc (ms *MemoryStore) GetMetricFrequency(metricName string) (int64, error) {\n\tif metric, ok := ms.Metrics[metricName]; ok {\n\t\treturn metric.Frequency, nil\n\t}\n\treturn 0, fmt.Errorf(\"[METRICSTORE]> metric %s not found\", metricName)\n}\n\n// SetNodeProvider sets the NodeProvider implementation for the MemoryStore.\n// This must be called during initialization to provide job state information\n// for selective buffer retention during Free operations.\n// If not set, the Free function will fall back to freeing all buffers.\nfunc (ms *MemoryStore) SetNodeProvider(provider NodeProvider) {\n\tms.nodeProvider = provider\n}\n\n// Shutdown performs a graceful shutdown of the metric store.\n//\n// This function cancels all background goroutines started by Init() and writes\n// a final checkpoint to disk before returning. It should be called when the\n// application receives a termination signal.\n//\n// The function will:\n//  1. Cancel the context to stop all background workers\n//  2. Close the WAL messages channel if using WAL format\n//  3. Write a final checkpoint to preserve in-memory data\n//  4. Log any errors encountered during shutdown\n//\n// Note: This function blocks until the final checkpoint is written.\nfunc Shutdown() {\n\tshutdownFuncMu.Lock()\n\tdefer shutdownFuncMu.Unlock()\n\tif shutdownFunc != nil {\n\t\tshutdownFunc()\n\t}\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tclose(WALMessages)\n\t}\n\n\tcclog.Infof(\"[METRICSTORE]> Writing to '%s'...\\n\", Keys.Checkpoints.RootDir)\n\tvar files int\n\tvar err error\n\n\tms := GetMemoryStore()\n\n\tlastCheckpointMu.Lock()\n\tfrom := lastCheckpoint\n\tlastCheckpointMu.Unlock()\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tvar hostDirs []string\n\t\tfiles, hostDirs, err = ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t\tif err == nil {\n\t\t\tRotateWALFilesAfterShutdown(hostDirs)\n\t\t}\n\t} else {\n\t\tfiles, err = ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t}\n\n\tif err != nil {\n\t\tcclog.Errorf(\"[METRICSTORE]> Writing checkpoint failed: %s\\n\", err.Error())\n\t}\n\tcclog.Infof(\"[METRICSTORE]> Done! (%d files written)\\n\", files)\n}\n\n// Retention starts a background goroutine that periodically frees old metric data.\n//\n// This worker runs at half the retention interval and calls Free() to remove buffers\n// older than the configured retention time. It respects the NodeProvider to preserve\n// data for nodes with active jobs.\n//\n// Parameters:\n//   - wg: WaitGroup to signal completion when context is cancelled\n//   - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc Retention(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\ttickInterval := d / 2\n\t\tif tickInterval <= 0 {\n\t\t\treturn\n\t\t}\n\t\tticker := time.NewTicker(tickInterval)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tstate.mu.Lock()\n\n\t\t\t\tt := time.Now().Add(-d)\n\n\t\t\t\tstate.lastRetentionTime = t.Unix()\n\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start freeing buffers (older than %s)...\\n\", t.Format(time.RFC3339))\n\n\t\t\t\tfreed, err := Free(ms, t)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> freeing up buffers failed: %s\\n\", err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d buffers freed\\n\", freed)\n\t\t\t\t}\n\n\t\t\t\tstate.mu.Unlock()\n\n\t\t\t\t// Clean up the buffer pool\n\t\t\t\tbufferPool.Clean(state.lastRetentionTime)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// MemoryUsageTracker starts a background goroutine that monitors memory usage.\n//\n// This worker checks actual process memory usage (via runtime.MemStats) periodically\n// and force-frees buffers if memory exceeds the configured cap. It uses FreeOSMemory()\n// to return memory to the OS after freeing buffers, avoiding aggressive GC that causes\n// performance issues.\n//\n// The tracker logs both actual memory usage (heap allocated) and metric data size for\n// visibility into memory overhead from Go runtime structures and allocations.\n//\n// Parameters:\n//   - wg: WaitGroup to signal completion when context is cancelled\n//   - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n\t\tfastInterval := 30 * time.Second\n\n\t\tif normalInterval <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(normalInterval)\n\t\tdefer ticker.Stop()\n\t\tcurrentInterval := normalInterval\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tvar mem runtime.MemStats\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n\t\t\t\tmetricDataGB := ms.SizeInGB()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n\n\t\t\t\tfreedExcluded := 0\n\t\t\t\tfreedEmergency := 0\n\t\t\t\tvar err error\n\n\t\t\t\tstate.mu.RLock()\n\t\t\t\tlastRetention := state.lastRetentionTime\n\t\t\t\tselectorsExcluded := state.selectorsExcluded\n\t\t\t\tstate.mu.RUnlock()\n\n\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n\t\t\t\t\t}\n\n\t\t\t\t\tif freedExcluded > 0 {\n\t\t\t\t\t\tdebug.FreeOSMemory()\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n\n\t\t\t\t\t// Use progressive time-based Free with increasing threshold\n\t\t\t\t\t// instead of ForceFree loop — fewer tree traversals, more effective\n\t\t\t\t\td, parseErr := time.ParseDuration(Keys.RetentionInMemory)\n\t\t\t\t\tif parseErr != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> cannot parse retention duration: %s\", parseErr)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tthresholds := []float64{0.75, 0.5, 0.25}\n\t\t\t\t\t\tfor _, fraction := range thresholds {\n\t\t\t\t\t\t\tthreshold := time.Now().Add(-time.Duration(float64(d) * fraction))\n\t\t\t\t\t\t\tfreed, freeErr := ms.Free(nil, threshold.Unix())\n\t\t\t\t\t\t\tif freeErr != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s\", fraction*100, freeErr)\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tfreedEmergency += freed\n\n\t\t\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\t\t\truntime.GC()\n\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n\t\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\tdebug.FreeOSMemory()\n\n\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after emergency frees (%d buffers), memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\t// Adaptive ticker: check more frequently when memory is high\n\t\t\t\tmemoryRatio := actualMemoryGB / float64(Keys.MemoryCap)\n\t\t\t\tif memoryRatio > 0.8 && currentInterval != fastInterval {\n\t\t\t\t\tticker.Reset(fastInterval)\n\t\t\t\t\tcurrentInterval = fastInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)\", memoryRatio*100)\n\t\t\t\t} else if memoryRatio <= 0.8 && currentInterval != normalInterval {\n\t\t\t\t\tticker.Reset(normalInterval)\n\t\t\t\t\tcurrentInterval = normalInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval\", memoryRatio*100)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\n// Free removes metric data older than the given time while preserving data for active nodes.\n//\n// This function implements intelligent retention by consulting the NodeProvider (if configured)\n// to determine which nodes are currently in use by running jobs. Data for these nodes is\n// preserved even if older than the retention time.\n//\n// Parameters:\n//   - ms: The MemoryStore instance\n//   - t: Time threshold - buffers with data older than this will be freed\n//\n// Returns:\n//   - Number of buffers freed\n//   - Error if NodeProvider query fails\n//\n// Behavior:\n//   - If no NodeProvider is set: frees all buffers older than t\n//   - If NodeProvider returns empty map: frees all buffers older than t\n//   - Otherwise: preserves buffers for nodes returned by GetUsedNodes(), frees others\nfunc Free(ms *MemoryStore, t time.Time) (int, error) {\n\t// If no NodeProvider is configured, free all buffers older than t\n\tif ms.nodeProvider == nil {\n\t\treturn ms.Free(nil, t.Unix())\n\t}\n\n\texcludeSelectors, err := ms.nodeProvider.GetUsedNodes(t.Unix())\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\tswitch lenMap := len(excludeSelectors); lenMap {\n\n\t// If the length of the map returned by GetUsedNodes() is 0,\n\t// then use default Free method with nil selector\n\tcase 0:\n\t\tstate.selectorsExcluded = false\n\t\treturn ms.Free(nil, t.Unix())\n\n\t// Else formulate selectors, exclude those from the map\n\t// and free the rest of the selectors\n\tdefault:\n\t\tstate.selectorsExcluded = true\n\t\tselectors := GetSelectors(ms, excludeSelectors)\n\t\treturn FreeSelected(ms, selectors, t)\n\t}\n}\n\n// FreeSelected frees buffers for specific selectors while preserving others.\n//\n// This function is used when we want to retain some specific nodes beyond the retention time.\n// It iterates through the provided selectors and frees their associated buffers.\n//\n// Parameters:\n//   - ms: The MemoryStore instance\n//   - selectors: List of selector paths to free (e.g., [[\"cluster1\", \"node1\"], [\"cluster2\", \"node2\"]])\n//   - t: Time threshold for freeing buffers\n//\n// Returns the total number of buffers freed and any error encountered.\nfunc FreeSelected(ms *MemoryStore, selectors [][]string, t time.Time) (int, error) {\n\tfreed := 0\n\n\tfor _, selector := range selectors {\n\n\t\tfreedBuffers, err := ms.Free(selector, t.Unix())\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"error while freeing selected buffers: %#v\", err)\n\t\t}\n\t\tfreed += freedBuffers\n\n\t}\n\n\treturn freed, nil\n}\n\n// GetSelectors returns all selectors at depth 2 (cluster/node level) that are NOT in the exclusion map.\n//\n// This function generates a list of selectors whose buffers should be freed by excluding\n// selectors that correspond to nodes currently in use by running jobs.\n//\n// Parameters:\n//   - ms: The MemoryStore instance\n//   - excludeSelectors: Map of cluster names to node hostnames that should NOT be freed\n//\n// Returns a list of selectors ([]string paths) that can be safely freed.\n//\n// Example:\n//\n//\tIf the tree has paths [\"emmy\", \"node001\"] and [\"emmy\", \"node002\"],\n//\tand excludeSelectors contains {\"emmy\": [\"node001\"]},\n//\tthen only [[\"emmy\", \"node002\"]] is returned.\nfunc GetSelectors(ms *MemoryStore, excludeSelectors map[string][]string) [][]string {\n\tallSelectors := ms.GetPaths(2)\n\n\tfilteredSelectors := make([][]string, 0, len(allSelectors))\n\n\tfor _, path := range allSelectors {\n\t\tif len(path) < 2 {\n\t\t\tcontinue\n\t\t}\n\n\t\tkey := path[0]   // The \"Key\" (Level 1)\n\t\tvalue := path[1] // The \"Value\" (Level 2)\n\n\t\texclude := false\n\n\t\t// Check if the key exists in our exclusion map\n\t\tif excludedValues, exists := excludeSelectors[key]; exists {\n\t\t\t// The key exists, now check if the specific value is in the exclusion list\n\t\t\tif slices.Contains(excludedValues, value) {\n\t\t\t\texclude = true\n\t\t\t}\n\t\t}\n\n\t\tif !exclude {\n\t\t\tfilteredSelectors = append(filteredSelectors, path)\n\t\t}\n\t}\n\n\treturn filteredSelectors\n}\n\n// GetPaths returns a list of lists (paths) to the specified depth.\nfunc (ms *MemoryStore) GetPaths(targetDepth int) [][]string {\n\tvar results [][]string\n\n\t// Start recursion. Initial path is empty.\n\t// We treat Root as depth 0.\n\tms.root.collectPaths(0, targetDepth, []string{}, &results)\n\n\treturn results\n}\n\n// Write all values in `metrics` to the level specified by `selector` for time `ts`.\n// Look at `findLevelOrCreate` for how selectors work.\nfunc (m *MemoryStore) Write(selector []string, ts int64, metrics []Metric) error {\n\tvar ok bool\n\tfor i, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tmetric.MetricConfig, ok = m.Metrics[metric.Name]\n\t\t\tif !ok {\n\t\t\t\tcclog.Debugf(\"[METRICSTORE]> Unknown metric '%s' in Write() - skipping\", metric.Name)\n\t\t\t\tmetric.MetricConfig.Frequency = 0\n\t\t\t}\n\t\t\tmetrics[i] = metric\n\t\t}\n\t}\n\n\treturn m.WriteToLevel(&m.root, selector, ts, metrics)\n}\n\nfunc (m *MemoryStore) GetLevel(selector []string) *Level {\n\treturn m.root.findLevelOrCreate(selector, len(m.Metrics))\n}\n\n// WriteToLevel assumes that `minfo` in `metrics` is filled in\nfunc (m *MemoryStore) WriteToLevel(l *Level, selector []string, ts int64, metrics []Metric) error {\n\tl = l.findLevelOrCreate(selector, len(m.Metrics))\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tfor _, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tcontinue\n\t\t}\n\n\t\tb := l.metrics[metric.MetricConfig.offset]\n\t\tif b == nil {\n\t\t\t// First write to this metric and level\n\t\t\tb = newBuffer(ts, metric.MetricConfig.Frequency)\n\t\t\tl.metrics[metric.MetricConfig.offset] = b\n\t\t}\n\n\t\tnb, err := b.write(ts, metric.Value)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\t// Last write created a new buffer...\n\t\tif b != nb {\n\t\t\tl.metrics[metric.MetricConfig.offset] = nb\n\t\t}\n\t}\n\treturn nil\n}\n\n// Read returns all values for metric `metric` from `from` to `to` for the selected level(s).\n// If the level does not hold the metric itself, the data will be aggregated recursively from the children.\n// The second and third return value are the actual from/to for the data. Those can be different from\n// the range asked for if no data was available.\nfunc (m *MemoryStore) Read(selector util.Selector, metric string, from, to, resolution int64) ([]schema.Float, int64, int64, int64, error) {\n\tif from > to {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid time range\")\n\t}\n\n\tminfo, ok := m.Metrics[metric]\n\tif !ok {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> unknown metric: \" + metric)\n\t}\n\n\tn, data := 0, make([]schema.Float, (to-from)/minfo.Frequency+1)\n\n\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n\t\tcdata, cfrom, cto, err := b.read(from, to, data)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif n == 0 {\n\t\t\tfrom, to = cfrom, cto\n\t\t} else if from != cfrom || to != cto || len(data) != len(cdata) {\n\t\t\tmissingfront, missingback := int((from-cfrom)/minfo.Frequency), int((to-cto)/minfo.Frequency)\n\t\t\tif missingfront != 0 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tnewlen := len(cdata) - missingback\n\t\t\tif newlen < 1 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\t\t\tcdata = cdata[0:newlen]\n\t\t\tif len(cdata) != len(data) {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tfrom, to = cfrom, cto\n\t\t}\n\n\t\tdata = cdata\n\t\tn += 1\n\t\treturn nil\n\t})\n\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t} else if n == 0 {\n\t\treturn nil, 0, 0, 0, ErrNoHostOrMetric\n\t} else if n > 1 {\n\t\tif minfo.Aggregation == AvgAggregation {\n\t\t\tnormalize := 1. / schema.Float(n)\n\t\t\tfor i := 0; i < len(data); i++ {\n\t\t\t\tdata[i] *= normalize\n\t\t\t}\n\t\t} else if minfo.Aggregation != SumAggregation {\n\t\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid aggregation\")\n\t\t}\n\t}\n\n\tdata, resolution, err = resampler.LargestTriangleThreeBucket(data, minfo.Frequency, resolution)\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t}\n\n\treturn data, from, to, resolution, nil\n}\n\n// Free releases all buffers for the selected level and all its children that\n// contain only values older than `t`.\nfunc (m *MemoryStore) Free(selector []string, t int64) (int, error) {\n\treturn m.GetLevel(selector).free(t)\n}\n\n// ForceFree unconditionally removes the oldest buffer from each metric chain.\nfunc (m *MemoryStore) ForceFree() (int, error) {\n\treturn m.GetLevel(nil).forceFree()\n}\n\nfunc (m *MemoryStore) FreeAll() error {\n\tm.root.lock.Lock()\n\tdefer m.root.lock.Unlock()\n\n\tfor k := range m.root.children {\n\t\tdelete(m.root.children, k)\n\t}\n\n\treturn nil\n}\n\nfunc (m *MemoryStore) SizeInBytes() int64 {\n\treturn m.root.sizeInBytes()\n}\n\nfunc (m *MemoryStore) SizeInGB() float64 {\n\treturn float64(m.root.sizeInBytes()) / 1e9\n}\n\n// ListChildren , given a selector, returns a list of all children of the level\n// selected.\nfunc (m *MemoryStore) ListChildren(selector []string) []string {\n\tlvl := &m.root\n\tfor lvl != nil && len(selector) != 0 {\n\t\tlvl.lock.RLock()\n\t\tnext := lvl.children[selector[0]]\n\t\tlvl.lock.RUnlock()\n\t\tlvl = next\n\t\tselector = selector[1:]\n\t}\n\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\tlvl.lock.RLock()\n\tdefer lvl.lock.RUnlock()\n\n\tchildren := make([]string, 0, len(lvl.children))\n\tfor child := range lvl.children {\n\t\tchildren = append(children, child)\n\t}\n\n\treturn children\n}\n","numLines":801,"startLine":1,"totalLines":801}},"sourceToolAssistantUUID":"857ea268-ae28-4dde-bae7-4a938c7bfc2c","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n//\n// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n// per host, eliminating the extra memory overhead of the AvroStore and providing\n// truly continuous (per-write) crash safety.\n//\n// # Architecture\n//\n//\tMetric write (DecodeLine)\n//\t      │\n//\t      ├─► WriteToLevel()    → main MemoryStore (unchanged)\n//\t      │\n//\t      └─► WALMessages channel\n//\t               │\n//\t               ▼\n//\t        WALStaging goroutine\n//\t               │\n//\t               ▼\n//\t        checkpoints/cluster/host/current.wal  (append-only, binary)\n//\n//\tPeriodic checkpoint (Checkpointing goroutine):\n//\t  1. Write <timestamp>.bin snapshot (column-oriented, from main tree)\n//\t  2. Signal WALStaging to truncate current.wal per host\n//\n//\tOn restart (FromCheckpoint):\n//\t  1. Load most recent <timestamp>.bin snapshot\n//\t  2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n//\n// # WAL Record Format\n//\n//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n//\n//\tpayload:\n//\t  [8B timestamp int64]\n//\t  [2B metric_name_len uint16][N metric name bytes]\n//\t  [1B selector_count uint8]\n//\t  per selector: [1B selector_len uint8][M selector bytes]\n//\t  [4B value float32 bits]\n//\n// # Binary Snapshot Format\n//\n//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n//\tLevel tree (recursive):\n//\t  [4B num_metrics uint32]\n//\t  per metric:\n//\t    [2B name_len uint16][N name bytes]\n//\t    [8B frequency int64][8B start int64]\n//\t    [4B num_values uint32][num_values × 4B float32]\n//\t  [4B num_children uint32]\n//\t  per child: [2B name_len uint16][N name bytes] + Level (recursive)\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/binary\"\n\t\"fmt\"\n\t\"hash/crc32\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"path\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Magic numbers for binary formats.\nconst (\n\twalFileMagic   = uint32(0xCC1DA701) // WAL file header magic\n\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n\tsnapFileMagic  = uint32(0xCC5B0001) // Binary snapshot magic\n)\n\n// WALMessages is the channel for sending metric writes to the WAL staging goroutine.\n// Buffered to allow burst writes without blocking the metric ingestion path.\nvar WALMessages = make(chan *WALMessage, 65536)\n\n// walRotateCh is used by the checkpoint goroutine to request WAL file rotation\n// (close, delete, reopen) after a binary snapshot has been written.\nvar walRotateCh = make(chan walRotateReq, 256)\n\n// WALMessage represents a single metric write to be appended to the WAL.\n// Cluster and Node are NOT stored in the WAL record (inferred from file path).\ntype WALMessage struct {\n\tMetricName string\n\tCluster    string\n\tNode       string\n\tSelector   []string\n\tValue      schema.Float\n\tTimestamp  int64\n}\n\n// walRotateReq requests WAL file rotation for a specific host directory.\n// The done channel is closed by the WAL goroutine when rotation is complete.\ntype walRotateReq struct {\n\thostDir string\n\tdone    chan struct{}\n}\n\n// walFileState holds an open WAL file handle and buffered writer for one host directory.\ntype walFileState struct {\n\tf *os.File\n\tw *bufio.Writer\n}\n\n// WALStaging starts a background goroutine that receives WALMessage items\n// and appends binary WAL records to per-host current.wal files.\n// Also handles WAL rotation requests from the checkpoint goroutine.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\twg.Go(func() {\n\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\t\treturn\n\t\t}\n\n\t\thostFiles := make(map[string]*walFileState)\n\n\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\n\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\tw := bufio.NewWriter(f)\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tws = &walFileState{f: f, w: w}\n\t\t\thostFiles[hostDir] = ws\n\t\t\treturn ws\n\t\t}\n\n\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tws := getOrOpenWAL(hostDir)\n\t\t\tif ws == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}\n\n\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.w.Flush()\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}\n\n\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\t// Flush all buffered writers after draining remaining messages.\n\t\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\n\t\t\t\t// Drain up to 256 more messages without blocking to batch writes.\n\t\t\t\tfor range 256 {\n\t\t\t\t\tselect {\n\t\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\t\tif !ok {\n\t\t\t\t\t\t\treturn\n\t\t\t\t\t\t}\n\t\t\t\t\t\tprocessMsg(msg)\n\t\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\t\tprocessRotate(req)\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tgoto flushed\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\tflushed:\n\t\t\t\t// Flush all buffered writers after processing the batch.\n\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFiles(hostDirs []string) {\n\tdones := make([]chan struct{}, len(hostDirs))\n\tfor i, dir := range hostDirs {\n\t\tdones[i] = make(chan struct{})\n\t\twalRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}\n\t}\n\tfor _, done := range dones {\n\t\t<-done\n\t}\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFilesAfterShutdown(hostDirs []string) {\n\tfor _, dir := range hostDirs {\n\t\twalPath := path.Join(dir, \"current.wal\")\n\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t}\n\t}\n}\n\n// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\nfunc buildWALPayload(msg *WALMessage) []byte {\n\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n\tfor _, s := range msg.Selector {\n\t\tsize += 1 + len(s)\n\t}\n\n\tbuf := make([]byte, 0, size)\n\n\t// Timestamp (8 bytes, little-endian int64)\n\tvar ts [8]byte\n\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n\tbuf = append(buf, ts[:]...)\n\n\t// Metric name (2-byte length prefix + bytes)\n\tvar mLen [2]byte\n\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n\tbuf = append(buf, mLen[:]...)\n\tbuf = append(buf, msg.MetricName...)\n\n\t// Selector count (1 byte)\n\tbuf = append(buf, byte(len(msg.Selector)))\n\n\t// Selectors (1-byte length prefix + bytes each)\n\tfor _, sel := range msg.Selector {\n\t\tbuf = append(buf, byte(len(sel)))\n\t\tbuf = append(buf, sel...)\n\t}\n\n\t// Value (4 bytes, float32 bit representation)\n\tvar val [4]byte\n\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n\tbuf = append(buf, val[:]...)\n\n\treturn buf\n}\n\n// writeWALRecord appends a binary WAL record to the writer.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(w io.Writer, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := w.Write(record)\n\treturn err\n}\n\n// readWALRecord reads one WAL record from the reader.\n// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n// A CRC mismatch indicates a truncated trailing record (expected on crash).\nfunc readWALRecord(r io.Reader) (*WALMessage, error) {\n\tvar magic uint32\n\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil, nil // Clean EOF\n\t\t}\n\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n\t}\n\n\tif magic != walRecordMagic {\n\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n\t}\n\n\tvar payloadLen uint32\n\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n\t}\n\n\tif payloadLen > 1<<20 { // 1 MB sanity limit\n\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n\t}\n\n\tpayload := make([]byte, payloadLen)\n\tif _, err := io.ReadFull(r, payload); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n\t}\n\n\tvar storedCRC uint32\n\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n\t}\n\n\tif crc32.ChecksumIEEE(payload) != storedCRC {\n\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n\t}\n\n\treturn parseWALPayload(payload)\n}\n\n// parseWALPayload decodes a binary payload into a WALMessage.\nfunc parseWALPayload(payload []byte) (*WALMessage, error) {\n\tif len(payload) < 8+2+1+4 {\n\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n\t}\n\n\toffset := 0\n\n\t// Timestamp (8 bytes)\n\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n\toffset += 8\n\n\t// Metric name (2-byte length + bytes)\n\tif offset+2 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n\t}\n\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n\toffset += 2\n\n\tif offset+mLen > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n\t}\n\tmetricName := string(payload[offset : offset+mLen])\n\toffset += mLen\n\n\t// Selector count (1 byte)\n\tif offset >= len(payload) {\n\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n\t}\n\tselCount := int(payload[offset])\n\toffset++\n\n\tselectors := make([]string, selCount)\n\tfor i := range selCount {\n\t\tif offset >= len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n\t\t}\n\t\tsLen := int(payload[offset])\n\t\toffset++\n\n\t\tif offset+sLen > len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n\t\t}\n\t\tselectors[i] = string(payload[offset : offset+sLen])\n\t\toffset += sLen\n\t}\n\n\t// Value (4 bytes, float32 bits)\n\tif offset+4 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n\t}\n\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n\tvalue := schema.Float(math.Float32frombits(bits))\n\n\treturn &WALMessage{\n\t\tMetricName: metricName,\n\t\tTimestamp:  ts,\n\t\tSelector:   selectors,\n\t\tValue:      value,\n\t}, nil\n}\n\n// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n// l is the host-level node. Corrupt or partial trailing records are silently skipped\n// (expected on crash). Records older than 'from' are skipped.\nfunc (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\t// Verify file header magic.\n\tvar fileMagic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil // Empty file, no data\n\t\t}\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n\t}\n\n\tif fileMagic != walFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n\t}\n\n\t// Cache level lookups to avoid repeated tree traversal.\n\tlvlCache := make(map[string]*Level)\n\n\tfor {\n\t\tmsg, err := readWALRecord(br)\n\t\tif err != nil {\n\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n\t\t\tbreak\n\t\t}\n\t\tif msg == nil {\n\t\t\tbreak // Clean EOF\n\t\t}\n\n\t\tif msg.Timestamp < from {\n\t\t\tcontinue // Older than retention window\n\t\t}\n\n\t\tminfo, ok := m.Metrics[msg.MetricName]\n\t\tif !ok {\n\t\t\tcontinue // Unknown metric (config may have changed)\n\t\t}\n\n\t\t// Cache key is the null-separated selector path.\n\t\tcacheKey := joinSelector(msg.Selector)\n\t\tlvl, ok := lvlCache[cacheKey]\n\t\tif !ok {\n\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n\t\t\tlvlCache[cacheKey] = lvl\n\t\t}\n\n\t\t// Write directly to the buffer, same as WriteToLevel but without the\n\t\t// global level lookup (we already have the right level).\n\t\tlvl.lock.Lock()\n\t\tb := lvl.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n\t\t\tlvl.metrics[minfo.offset] = b\n\t\t}\n\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n\t\tif writeErr == nil && b != nb {\n\t\t\tlvl.metrics[minfo.offset] = nb\n\t\t}\n\t\t// Ignore write errors for timestamps before buffer start (can happen when\n\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n\t\tlvl.lock.Unlock()\n\t}\n\n\treturn nil\n}\n\n// joinSelector builds a cache key from a selector slice using null bytes as separators.\nfunc joinSelector(sel []string) string {\n\tif len(sel) == 0 {\n\t\treturn \"\"\n\t}\n\tvar result strings.Builder\n\tresult.WriteString(sel[0])\n\tfor i := 1; i < len(sel); i++ {\n\t\tresult.WriteString(\"\\x00\" + sel[i])\n\t}\n\treturn result.String()\n}\n\n// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n// Returns the number of files written, the list of host directories that were\n// successfully checkpointed (for WAL rotation), and any errors.\nfunc (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n\t// Collect all cluster/host pairs.\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel    *Level\n\t\thostDir  string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\tvar successDirs []string\n\tvar successMu sync.Mutex\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\n\tfor range Keys.NumWorkers {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor wi := range work {\n\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n\t\t\t\tif err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\tsuccessMu.Lock()\n\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n\t\t\t\t\tsuccessMu.Unlock()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := range levels {\n\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel:    levels[i],\n\t\t\thostDir:  hostDir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n\t}\n\treturn int(n), successDirs, nil\n}\n\n// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\nfunc (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n\t}\n\n\t// Write to a temp file first, then rename (atomic on POSIX).\n\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n\n\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n\t}\n\n\tbw := bufio.NewWriter(f)\n\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n\t}\n\tif err := bw.Flush(); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn err\n\t}\n\tf.Close()\n\n\treturn os.Rename(tmpPath, finalPath)\n}\n\n// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\nfunc writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n\t\treturn err\n\t}\n\treturn writeBinaryLevel(w, cf)\n}\n\n// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\nfunc writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, metric := range cf.Metrics {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tfor _, v := range metric.Data {\n\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, child := range cf.Children {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := writeBinaryLevel(w, child); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// writeString16 writes a 2-byte length-prefixed string to w.\nfunc writeString16(w io.Writer, s string) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n\t\treturn err\n\t}\n\t_, err := io.WriteString(w, s)\n\treturn err\n}\n\n// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n// The retention check (from) is applied to the file's 'to' timestamp.\nfunc (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\tvar magic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n\t}\n\tif magic != snapFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n\t}\n\n\tvar fileFrom, fileTo int64\n\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n\t}\n\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n\t}\n\n\tif fileTo != 0 && fileTo < from {\n\t\treturn nil // File is older than retention window, skip it\n\t}\n\n\tcf, err := readBinaryLevel(br)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n\t}\n\tcf.From = fileFrom\n\tcf.To = fileTo\n\n\treturn l.loadFile(cf, m)\n}\n\n// readBinaryLevel recursively reads a level from the binary snapshot format.\nfunc readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n\tcf := &CheckpointFile{\n\t\tMetrics:  make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tvar numMetrics uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n\t}\n\n\tfor range numMetrics {\n\t\tname, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n\t\t}\n\n\t\tvar freq, start int64\n\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n\t\t}\n\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n\t\t}\n\n\t\tvar numValues uint32\n\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n\t\t}\n\n\t\tdata := make([]schema.Float, numValues)\n\t\tfor i := range numValues {\n\t\t\tvar bits uint32\n\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n\t\t\t}\n\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n\t\t}\n\n\t\tcf.Metrics[name] = &CheckpointMetrics{\n\t\t\tFrequency: freq,\n\t\t\tStart:     start,\n\t\t\tData:      data,\n\t\t}\n\t}\n\n\tvar numChildren uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_children: %w\", err)\n\t}\n\n\tfor range numChildren {\n\t\tchildName, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child name: %w\", err)\n\t\t}\n\n\t\tchild, err := readBinaryLevel(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child %s: %w\", childName, err)\n\t\t}\n\t\tcf.Children[childName] = child\n\t}\n\n\treturn cf, nil\n}\n\n// readString16 reads a 2-byte length-prefixed string from r.\nfunc readString16(r io.Reader) (string, error) {\n\tvar sLen uint16\n\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {\n\t\treturn \"\", err\n\t}\n\tbuf := make([]byte, sLen)\n\tif _, err := io.ReadFull(r, buf); err != nil {\n\t\treturn \"\", err\n\t}\n\treturn string(buf), nil\n}\n","structuredPatch":[{"oldStart":61,"oldLines":6,"newStart":61,"newLines":7,"lines":["   \"encoding/binary\"","   \"fmt\"","   \"hash/crc32\"","+  \"hash/fnv\"","   \"io\"","   \"math\"","   \"os\""]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"0b6218a5-96c5-4d0c-b0c6-8461ff1f8ad3","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n//\n// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n// per host, eliminating the extra memory overhead of the AvroStore and providing\n// truly continuous (per-write) crash safety.\n//\n// # Architecture\n//\n//\tMetric write (DecodeLine)\n//\t      │\n//\t      ├─► WriteToLevel()    → main MemoryStore (unchanged)\n//\t      │\n//\t      └─► WALMessages channel\n//\t               │\n//\t               ▼\n//\t        WALStaging goroutine\n//\t               │\n//\t               ▼\n//\t        checkpoints/cluster/host/current.wal  (append-only, binary)\n//\n//\tPeriodic checkpoint (Checkpointing goroutine):\n//\t  1. Write <timestamp>.bin snapshot (column-oriented, from main tree)\n//\t  2. Signal WALStaging to truncate current.wal per host\n//\n//\tOn restart (FromCheckpoint):\n//\t  1. Load most recent <timestamp>.bin snapshot\n//\t  2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n//\n// # WAL Record Format\n//\n//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n//\n//\tpayload:\n//\t  [8B timestamp int64]\n//\t  [2B metric_name_len uint16][N metric name bytes]\n//\t  [1B selector_count uint8]\n//\t  per selector: [1B selector_len uint8][M selector bytes]\n//\t  [4B value float32 bits]\n//\n// # Binary Snapshot Format\n//\n//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n//\tLevel tree (recursive):\n//\t  [4B num_metrics uint32]\n//\t  per metric:\n//\t    [2B name_len uint16][N name bytes]\n//\t    [8B frequency int64][8B start int64]\n//\t    [4B num_values uint32][num_values × 4B float32]\n//\t  [4B num_children uint32]\n//\t  per child: [2B name_len uint16][N name bytes] + Level (recursive)\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/binary\"\n\t\"fmt\"\n\t\"hash/crc32\"\n\t\"hash/fnv\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"path\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Magic numbers for binary formats.\nconst (\n\twalFileMagic   = uint32(0xCC1DA701) // WAL file header magic\n\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n\tsnapFileMagic  = uint32(0xCC5B0001) // Binary snapshot magic\n)\n\n// WALMessages is the channel for sending metric writes to the WAL staging goroutine.\n// Buffered to allow burst writes without blocking the metric ingestion path.\nvar WALMessages = make(chan *WALMessage, 65536)\n\n// walRotateCh is used by the checkpoint goroutine to request WAL file rotation\n// (close, delete, reopen) after a binary snapshot has been written.\nvar walRotateCh = make(chan walRotateReq, 256)\n\n// WALMessage represents a single metric write to be appended to the WAL.\n// Cluster and Node are NOT stored in the WAL record (inferred from file path).\ntype WALMessage struct {\n\tMetricName string\n\tCluster    string\n\tNode       string\n\tSelector   []string\n\tValue      schema.Float\n\tTimestamp  int64\n}\n\n// walRotateReq requests WAL file rotation for a specific host directory.\n// The done channel is closed by the WAL goroutine when rotation is complete.\ntype walRotateReq struct {\n\thostDir string\n\tdone    chan struct{}\n}\n\n// walFileState holds an open WAL file handle and buffered writer for one host directory.\ntype walFileState struct {\n\tf *os.File\n\tw *bufio.Writer\n}\n\n// WALStaging starts a background goroutine that receives WALMessage items\n// and appends binary WAL records to per-host current.wal files.\n// Also handles WAL rotation requests from the checkpoint goroutine.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\twg.Go(func() {\n\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\t\treturn\n\t\t}\n\n\t\thostFiles := make(map[string]*walFileState)\n\n\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\n\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\tw := bufio.NewWriter(f)\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tws = &walFileState{f: f, w: w}\n\t\t\thostFiles[hostDir] = ws\n\t\t\treturn ws\n\t\t}\n\n\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tws := getOrOpenWAL(hostDir)\n\t\t\tif ws == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}\n\n\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.w.Flush()\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}\n\n\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\t// Flush all buffered writers after draining remaining messages.\n\t\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\n\t\t\t\t// Drain up to 256 more messages without blocking to batch writes.\n\t\t\t\tfor range 256 {\n\t\t\t\t\tselect {\n\t\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\t\tif !ok {\n\t\t\t\t\t\t\treturn\n\t\t\t\t\t\t}\n\t\t\t\t\t\tprocessMsg(msg)\n\t\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\t\tprocessRotate(req)\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tgoto flushed\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\tflushed:\n\t\t\t\t// Flush all buffered writers after processing the batch.\n\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFiles(hostDirs []string) {\n\tdones := make([]chan struct{}, len(hostDirs))\n\tfor i, dir := range hostDirs {\n\t\tdones[i] = make(chan struct{})\n\t\twalRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}\n\t}\n\tfor _, done := range dones {\n\t\t<-done\n\t}\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFilesAfterShutdown(hostDirs []string) {\n\tfor _, dir := range hostDirs {\n\t\twalPath := path.Join(dir, \"current.wal\")\n\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t}\n\t}\n}\n\n// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\nfunc buildWALPayload(msg *WALMessage) []byte {\n\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n\tfor _, s := range msg.Selector {\n\t\tsize += 1 + len(s)\n\t}\n\n\tbuf := make([]byte, 0, size)\n\n\t// Timestamp (8 bytes, little-endian int64)\n\tvar ts [8]byte\n\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n\tbuf = append(buf, ts[:]...)\n\n\t// Metric name (2-byte length prefix + bytes)\n\tvar mLen [2]byte\n\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n\tbuf = append(buf, mLen[:]...)\n\tbuf = append(buf, msg.MetricName...)\n\n\t// Selector count (1 byte)\n\tbuf = append(buf, byte(len(msg.Selector)))\n\n\t// Selectors (1-byte length prefix + bytes each)\n\tfor _, sel := range msg.Selector {\n\t\tbuf = append(buf, byte(len(sel)))\n\t\tbuf = append(buf, sel...)\n\t}\n\n\t// Value (4 bytes, float32 bit representation)\n\tvar val [4]byte\n\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n\tbuf = append(buf, val[:]...)\n\n\treturn buf\n}\n\n// writeWALRecord appends a binary WAL record to the writer.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(w io.Writer, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := w.Write(record)\n\treturn err\n}\n\n// readWALRecord reads one WAL record from the reader.\n// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n// A CRC mismatch indicates a truncated trailing record (expected on crash).\nfunc readWALRecord(r io.Reader) (*WALMessage, error) {\n\tvar magic uint32\n\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil, nil // Clean EOF\n\t\t}\n\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n\t}\n\n\tif magic != walRecordMagic {\n\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n\t}\n\n\tvar payloadLen uint32\n\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n\t}\n\n\tif payloadLen > 1<<20 { // 1 MB sanity limit\n\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n\t}\n\n\tpayload := make([]byte, payloadLen)\n\tif _, err := io.ReadFull(r, payload); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n\t}\n\n\tvar storedCRC uint32\n\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n\t}\n\n\tif crc32.ChecksumIEEE(payload) != storedCRC {\n\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n\t}\n\n\treturn parseWALPayload(payload)\n}\n\n// parseWALPayload decodes a binary payload into a WALMessage.\nfunc parseWALPayload(payload []byte) (*WALMessage, error) {\n\tif len(payload) < 8+2+1+4 {\n\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n\t}\n\n\toffset := 0\n\n\t// Timestamp (8 bytes)\n\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n\toffset += 8\n\n\t// Metric name (2-byte length + bytes)\n\tif offset+2 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n\t}\n\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n\toffset += 2\n\n\tif offset+mLen > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n\t}\n\tmetricName := string(payload[offset : offset+mLen])\n\toffset += mLen\n\n\t// Selector count (1 byte)\n\tif offset >= len(payload) {\n\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n\t}\n\tselCount := int(payload[offset])\n\toffset++\n\n\tselectors := make([]string, selCount)\n\tfor i := range selCount {\n\t\tif offset >= len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n\t\t}\n\t\tsLen := int(payload[offset])\n\t\toffset++\n\n\t\tif offset+sLen > len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n\t\t}\n\t\tselectors[i] = string(payload[offset : offset+sLen])\n\t\toffset += sLen\n\t}\n\n\t// Value (4 bytes, float32 bits)\n\tif offset+4 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n\t}\n\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n\tvalue := schema.Float(math.Float32frombits(bits))\n\n\treturn &WALMessage{\n\t\tMetricName: metricName,\n\t\tTimestamp:  ts,\n\t\tSelector:   selectors,\n\t\tValue:      value,\n\t}, nil\n}\n\n// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n// l is the host-level node. Corrupt or partial trailing records are silently skipped\n// (expected on crash). Records older than 'from' are skipped.\nfunc (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\t// Verify file header magic.\n\tvar fileMagic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil // Empty file, no data\n\t\t}\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n\t}\n\n\tif fileMagic != walFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n\t}\n\n\t// Cache level lookups to avoid repeated tree traversal.\n\tlvlCache := make(map[string]*Level)\n\n\tfor {\n\t\tmsg, err := readWALRecord(br)\n\t\tif err != nil {\n\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n\t\t\tbreak\n\t\t}\n\t\tif msg == nil {\n\t\t\tbreak // Clean EOF\n\t\t}\n\n\t\tif msg.Timestamp < from {\n\t\t\tcontinue // Older than retention window\n\t\t}\n\n\t\tminfo, ok := m.Metrics[msg.MetricName]\n\t\tif !ok {\n\t\t\tcontinue // Unknown metric (config may have changed)\n\t\t}\n\n\t\t// Cache key is the null-separated selector path.\n\t\tcacheKey := joinSelector(msg.Selector)\n\t\tlvl, ok := lvlCache[cacheKey]\n\t\tif !ok {\n\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n\t\t\tlvlCache[cacheKey] = lvl\n\t\t}\n\n\t\t// Write directly to the buffer, same as WriteToLevel but without the\n\t\t// global level lookup (we already have the right level).\n\t\tlvl.lock.Lock()\n\t\tb := lvl.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n\t\t\tlvl.metrics[minfo.offset] = b\n\t\t}\n\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n\t\tif writeErr == nil && b != nb {\n\t\t\tlvl.metrics[minfo.offset] = nb\n\t\t}\n\t\t// Ignore write errors for timestamps before buffer start (can happen when\n\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n\t\tlvl.lock.Unlock()\n\t}\n\n\treturn nil\n}\n\n// joinSelector builds a cache key from a selector slice using null bytes as separators.\nfunc joinSelector(sel []string) string {\n\tif len(sel) == 0 {\n\t\treturn \"\"\n\t}\n\tvar result strings.Builder\n\tresult.WriteString(sel[0])\n\tfor i := 1; i < len(sel); i++ {\n\t\tresult.WriteString(\"\\x00\" + sel[i])\n\t}\n\treturn result.String()\n}\n\n// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n// Returns the number of files written, the list of host directories that were\n// successfully checkpointed (for WAL rotation), and any errors.\nfunc (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n\t// Collect all cluster/host pairs.\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel    *Level\n\t\thostDir  string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\tvar successDirs []string\n\tvar successMu sync.Mutex\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\n\tfor range Keys.NumWorkers {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor wi := range work {\n\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n\t\t\t\tif err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\tsuccessMu.Lock()\n\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n\t\t\t\t\tsuccessMu.Unlock()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := range levels {\n\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel:    levels[i],\n\t\t\thostDir:  hostDir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n\t}\n\treturn int(n), successDirs, nil\n}\n\n// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\nfunc (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n\t}\n\n\t// Write to a temp file first, then rename (atomic on POSIX).\n\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n\n\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n\t}\n\n\tbw := bufio.NewWriter(f)\n\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n\t}\n\tif err := bw.Flush(); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn err\n\t}\n\tf.Close()\n\n\treturn os.Rename(tmpPath, finalPath)\n}\n\n// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\nfunc writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n\t\treturn err\n\t}\n\treturn writeBinaryLevel(w, cf)\n}\n\n// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\nfunc writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, metric := range cf.Metrics {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tfor _, v := range metric.Data {\n\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, child := range cf.Children {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := writeBinaryLevel(w, child); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// writeString16 writes a 2-byte length-prefixed string to w.\nfunc writeString16(w io.Writer, s string) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n\t\treturn err\n\t}\n\t_, err := io.WriteString(w, s)\n\treturn err\n}\n\n// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n// The retention check (from) is applied to the file's 'to' timestamp.\nfunc (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\tvar magic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n\t}\n\tif magic != snapFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n\t}\n\n\tvar fileFrom, fileTo int64\n\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n\t}\n\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n\t}\n\n\tif fileTo != 0 && fileTo < from {\n\t\treturn nil // File is older than retention window, skip it\n\t}\n\n\tcf, err := readBinaryLevel(br)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n\t}\n\tcf.From = fileFrom\n\tcf.To = fileTo\n\n\treturn l.loadFile(cf, m)\n}\n\n// readBinaryLevel recursively reads a level from the binary snapshot format.\nfunc readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n\tcf := &CheckpointFile{\n\t\tMetrics:  make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tvar numMetrics uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n\t}\n\n\tfor range numMetrics {\n\t\tname, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n\t\t}\n\n\t\tvar freq, start int64\n\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n\t\t}\n\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n\t\t}\n\n\t\tvar numValues uint32\n\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n\t\t}\n\n\t\tdata := make([]schema.Float, numValues)\n\t\tfor i := range numValues {\n\t\t\tvar bits uint32\n\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n\t\t\t}\n\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n\t\t}\n\n\t\tcf.Metrics[name] = &CheckpointMetrics{\n\t\t\tFrequency: freq,\n\t\t\tStart:     start,\n\t\t\tData:      data,\n\t\t}\n\t}\n\n\tvar numChildren uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_children: %w\", err)\n\t}\n\n\tfor range numChildren {\n\t\tchildName, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child name: %w\", err)\n\t\t}\n\n\t\tchild, err := readBinaryLevel(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child %s: %w\", childName, err)\n\t\t}\n\t\tcf.Children[childName] = child\n\t}\n\n\treturn cf, nil\n}\n\n// readString16 reads a 2-byte length-prefixed string from r.\nfunc readString16(r io.Reader) (string, error) {\n\tvar sLen uint16\n\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {\n\t\treturn \"\", err\n\t}\n\tbuf := make([]byte, sLen)\n\tif _, err := io.ReadFull(r, buf); err != nil {\n\t\treturn \"\", err\n\t}\n\treturn string(buf), nil\n}\n","structuredPatch":[{"oldStart":81,"oldLines":14,"newStart":81,"newLines":16,"lines":["   snapFileMagic  = uint32(0xCC5B0001) // Binary snapshot magic"," )"," ","-// WALMessages is the channel for sending metric writes to the WAL staging goroutine.","-// Buffered to allow burst writes without blocking the metric ingestion path.","-var WALMessages = make(chan *WALMessage, 65536)","+// walShardChs holds per-shard channels for WAL messages.","+// Initialized by WALStaging; nil when WAL is not active.","+var walShardChs []chan *WALMessage"," ","-// walRotateCh is used by the checkpoint goroutine to request WAL file rotation","-// (close, delete, reopen) after a binary snapshot has been written.","-var walRotateCh = make(chan walRotateReq, 256)","+// walShardRotateChs holds per-shard channels for WAL rotation requests.","+var walShardRotateChs []chan walRotateReq"," ","+// walNumShards stores the number of shards (set during WALStaging init).","+var walNumShards int","+"," // WALMessage represents a single metric write to be appended to the WAL."," // Cluster and Node are NOT stored in the WAL record (inferred from file path)."," type WALMessage struct {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"69377157-45d8-4c04-b32f-f1ddb534194e","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"737d5132-6e8a-4223-9217-3aff0eabc3cf","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01UkiNmp2ojYLjXiiABq4CBe","type":"message","role":"assistant","content":[{"type":"text","text":"Now replace the `WALStaging` function with the sharded version:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":605,"cache_read_input_tokens":49299,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":605},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ9zghVNv1GdSuBA5fT7i","type":"assistant","uuid":"42bedadd-e697-4576-b1a1-7f7472f588b7","timestamp":"2026-03-18T05:29:54.980Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"42bedadd-e697-4576-b1a1-7f7472f588b7","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01UkiNmp2ojYLjXiiABq4CBe","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KuNHaxhouA5V546M6CKh2e","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","old_string":"// WALStaging starts a background goroutine that receives WALMessage items\n// and appends binary WAL records to per-host current.wal files.\n// Also handles WAL rotation requests from the checkpoint goroutine.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\twg.Go(func() {\n\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\t\treturn\n\t\t}\n\n\t\thostFiles := make(map[string]*walFileState)\n\n\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\n\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\tw := bufio.NewWriter(f)\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tws = &walFileState{f: f, w: w}\n\t\t\thostFiles[hostDir] = ws\n\t\t\treturn ws\n\t\t}\n\n\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tws := getOrOpenWAL(hostDir)\n\t\t\tif ws == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}\n\n\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.w.Flush()\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}\n\n\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\t// Flush all buffered writers after draining remaining messages.\n\t\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\n\t\t\t\t// Drain up to 256 more messages without blocking to batch writes.\n\t\t\t\tfor range 256 {\n\t\t\t\t\tselect {\n\t\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\t\tif !ok {\n\t\t\t\t\t\t\treturn\n\t\t\t\t\t\t}\n\t\t\t\t\t\tprocessMsg(msg)\n\t\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\t\tprocessRotate(req)\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tgoto flushed\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\tflushed:\n\t\t\t\t// Flush all buffered writers after processing the batch.\n\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}\n\t})\n}","new_string":"// walShardIndex computes which shard a message belongs to based on cluster+node.\n// Uses FNV-1a hash for fast, well-distributed mapping.\nfunc walShardIndex(cluster, node string) int {\n\th := fnv.New32a()\n\th.Write([]byte(cluster))\n\th.Write([]byte{0})\n\th.Write([]byte(node))\n\treturn int(h.Sum32()) % walNumShards\n}\n\n// SendWALMessage routes a WAL message to the appropriate shard channel.\n// Returns false if the channel is full (message dropped).\nfunc SendWALMessage(msg *WALMessage) bool {\n\tif walShardChs == nil {\n\t\treturn false\n\t}\n\tshard := walShardIndex(msg.Cluster, msg.Node)\n\tselect {\n\tcase walShardChs[shard] <- msg:\n\t\treturn true\n\tdefault:\n\t\treturn false\n\t}\n}\n\n// WALStaging starts N sharded background goroutines that receive WALMessage items\n// and append binary WAL records to per-host current.wal files.\n// Each shard owns a subset of hosts (determined by hash of cluster+node),\n// parallelizing serialization and I/O while keeping per-host writes serial.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\treturn\n\t}\n\n\twalNumShards = max(Keys.NumWorkers, 1)\n\tchBufSize := max(65536/walNumShards, 1024)\n\n\twalShardChs = make([]chan *WALMessage, walNumShards)\n\twalShardRotateChs = make([]chan walRotateReq, walNumShards)\n\n\tfor i := range walNumShards {\n\t\twalShardChs[i] = make(chan *WALMessage, chBufSize)\n\t\twalShardRotateChs[i] = make(chan walRotateReq, 64)\n\t}\n\n\tfor i := range walNumShards {\n\t\tmsgCh := walShardChs[i]\n\t\trotateCh := walShardRotateChs[i]\n\n\t\twg.Go(func() {\n\t\t\thostFiles := make(map[string]*walFileState)\n\n\t\t\tdefer func() {\n\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t\tws.f.Close()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\n\t\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n\t\t\t\tws, ok := hostFiles[hostDir]\n\t\t\t\tif ok {\n\t\t\t\t\treturn ws\n\t\t\t\t}\n\n\t\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\n\t\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\n\t\t\t\tw := bufio.NewWriter(f)\n\n\t\t\t\t// Write file header magic if file is new (empty).\n\t\t\t\tinfo, err := f.Stat()\n\t\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\t\tvar hdr [4]byte\n\t\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\t\tf.Close()\n\t\t\t\t\t\treturn nil\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\tws = &walFileState{f: f, w: w}\n\t\t\t\thostFiles[hostDir] = ws\n\t\t\t\treturn ws\n\t\t\t}\n\n\t\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\t\tws := getOrOpenWAL(hostDir)\n\t\t\t\tif ws == nil {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tif err := writeWALRecordDirect(ws.w, msg); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tprocessRotate := func(req walRotateReq) {\n\t\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\t\tif ok && ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t\t}\n\t\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t\t}\n\t\t\t\tclose(req.done)\n\t\t\t}\n\n\t\t\tflushAll := func() {\n\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tdrain := func() {\n\t\t\t\tfor {\n\t\t\t\t\tselect {\n\t\t\t\t\tcase msg, ok := <-msgCh:\n\t\t\t\t\t\tif !ok {\n\t\t\t\t\t\t\treturn\n\t\t\t\t\t\t}\n\t\t\t\t\t\tprocessMsg(msg)\n\t\t\t\t\tcase req := <-rotateCh:\n\t\t\t\t\t\tprocessRotate(req)\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tflushAll()\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase <-ctx.Done():\n\t\t\t\t\tdrain()\n\t\t\t\t\treturn\n\t\t\t\tcase msg, ok := <-msgCh:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\n\t\t\t\t\t// Drain up to 256 more messages without blocking to batch writes.\n\t\t\t\t\tfor range 256 {\n\t\t\t\t\t\tselect {\n\t\t\t\t\t\tcase msg, ok := <-msgCh:\n\t\t\t\t\t\t\tif !ok {\n\t\t\t\t\t\t\t\treturn\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tprocessMsg(msg)\n\t\t\t\t\t\tcase req := <-rotateCh:\n\t\t\t\t\t\t\tprocessRotate(req)\n\t\t\t\t\t\tdefault:\n\t\t\t\t\t\t\tgoto flushed\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\tflushed:\n\t\t\t\t\tflushAll()\n\t\t\t\tcase req := <-rotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\t}\n\t\t\t}\n\t\t})\n\t}\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":605,"cache_read_input_tokens":49299,"output_tokens":3031,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":605,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ9zghVNv1GdSuBA5fT7i","type":"assistant","uuid":"204ce3a2-a499-4c2d-9ae9-1b3453c4603d","timestamp":"2026-03-18T05:30:26.596Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"parentUuid":"204ce3a2-a499-4c2d-9ae9-1b3453c4603d","isSidechain":false,"promptId":"53f7aeff-f280-4fa6-a195-55ff40087d7e","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KuNHaxhouA5V546M6CKh2e","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go has been updated successfully."}]},"uuid":"28929730-3cd1-4a1c-83da-2d5bd6de5ced","timestamp":"2026-03-18T05:30:26.619Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","oldString":"// WALStaging starts a background goroutine that receives WALMessage items\n// and appends binary WAL records to per-host current.wal files.\n// Also handles WAL rotation requests from the checkpoint goroutine.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\twg.Go(func() {\n\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\t\treturn\n\t\t}\n\n\t\thostFiles := make(map[string]*walFileState)\n\n\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\n\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\tw := bufio.NewWriter(f)\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tws = &walFileState{f: f, w: w}\n\t\t\thostFiles[hostDir] = ws\n\t\t\treturn ws\n\t\t}\n\n\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tws := getOrOpenWAL(hostDir)\n\t\t\tif ws == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}\n\n\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.w.Flush()\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}\n\n\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\t// Flush all buffered writers after draining remaining messages.\n\t\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\n\t\t\t\t// Drain up to 256 more messages without blocking to batch writes.\n\t\t\t\tfor range 256 {\n\t\t\t\t\tselect {\n\t\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\t\tif !ok {\n\t\t\t\t\t\t\treturn\n\t\t\t\t\t\t}\n\t\t\t\t\t\tprocessMsg(msg)\n\t\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\t\tprocessRotate(req)\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tgoto flushed\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\tflushed:\n\t\t\t\t// Flush all buffered writers after processing the batch.\n\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}\n\t})\n}","newString":"// walShardIndex computes which shard a message belongs to based on cluster+node.\n// Uses FNV-1a hash for fast, well-distributed mapping.\nfunc walShardIndex(cluster, node string) int {\n\th := fnv.New32a()\n\th.Write([]byte(cluster))\n\th.Write([]byte{0})\n\th.Write([]byte(node))\n\treturn int(h.Sum32()) % walNumShards\n}\n\n// SendWALMessage routes a WAL message to the appropriate shard channel.\n// Returns false if the channel is full (message dropped).\nfunc SendWALMessage(msg *WALMessage) bool {\n\tif walShardChs == nil {\n\t\treturn false\n\t}\n\tshard := walShardIndex(msg.Cluster, msg.Node)\n\tselect {\n\tcase walShardChs[shard] <- msg:\n\t\treturn true\n\tdefault:\n\t\treturn false\n\t}\n}\n\n// WALStaging starts N sharded background goroutines that receive WALMessage items\n// and append binary WAL records to per-host current.wal files.\n// Each shard owns a subset of hosts (determined by hash of cluster+node),\n// parallelizing serialization and I/O while keeping per-host writes serial.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\treturn\n\t}\n\n\twalNumShards = max(Keys.NumWorkers, 1)\n\tchBufSize := max(65536/walNumShards, 1024)\n\n\twalShardChs = make([]chan *WALMessage, walNumShards)\n\twalShardRotateChs = make([]chan walRotateReq, walNumShards)\n\n\tfor i := range walNumShards {\n\t\twalShardChs[i] = make(chan *WALMessage, chBufSize)\n\t\twalShardRotateChs[i] = make(chan walRotateReq, 64)\n\t}\n\n\tfor i := range walNumShards {\n\t\tmsgCh := walShardChs[i]\n\t\trotateCh := walShardRotateChs[i]\n\n\t\twg.Go(func() {\n\t\t\thostFiles := make(map[string]*walFileState)\n\n\t\t\tdefer func() {\n\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t\tws.f.Close()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\n\t\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n\t\t\t\tws, ok := hostFiles[hostDir]\n\t\t\t\tif ok {\n\t\t\t\t\treturn ws\n\t\t\t\t}\n\n\t\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\n\t\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\n\t\t\t\tw := bufio.NewWriter(f)\n\n\t\t\t\t// Write file header magic if file is new (empty).\n\t\t\t\tinfo, err := f.Stat()\n\t\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\t\tvar hdr [4]byte\n\t\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\t\tf.Close()\n\t\t\t\t\t\treturn nil\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\tws = &walFileState{f: f, w: w}\n\t\t\t\thostFiles[hostDir] = ws\n\t\t\t\treturn ws\n\t\t\t}\n\n\t\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\t\tws := getOrOpenWAL(hostDir)\n\t\t\t\tif ws == nil {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tif err := writeWALRecordDirect(ws.w, msg); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tprocessRotate := func(req walRotateReq) {\n\t\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\t\tif ok && ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t\t}\n\t\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t\t}\n\t\t\t\tclose(req.done)\n\t\t\t}\n\n\t\t\tflushAll := func() {\n\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tdrain := func() {\n\t\t\t\tfor {\n\t\t\t\t\tselect {\n\t\t\t\t\tcase msg, ok := <-msgCh:\n\t\t\t\t\t\tif !ok {\n\t\t\t\t\t\t\treturn\n\t\t\t\t\t\t}\n\t\t\t\t\t\tprocessMsg(msg)\n\t\t\t\t\tcase req := <-rotateCh:\n\t\t\t\t\t\tprocessRotate(req)\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tflushAll()\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase <-ctx.Done():\n\t\t\t\t\tdrain()\n\t\t\t\t\treturn\n\t\t\t\tcase msg, ok := <-msgCh:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\n\t\t\t\t\t// Drain up to 256 more messages without blocking to batch writes.\n\t\t\t\t\tfor range 256 {\n\t\t\t\t\t\tselect {\n\t\t\t\t\t\tcase msg, ok := <-msgCh:\n\t\t\t\t\t\t\tif !ok {\n\t\t\t\t\t\t\t\treturn\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tprocessMsg(msg)\n\t\t\t\t\t\tcase req := <-rotateCh:\n\t\t\t\t\t\t\tprocessRotate(req)\n\t\t\t\t\t\tdefault:\n\t\t\t\t\t\t\tgoto flushed\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\tflushed:\n\t\t\t\t\tflushAll()\n\t\t\t\tcase req := <-rotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\t}\n\t\t\t}\n\t\t})\n\t}\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n//\n// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n// per host, eliminating the extra memory overhead of the AvroStore and providing\n// truly continuous (per-write) crash safety.\n//\n// # Architecture\n//\n//\tMetric write (DecodeLine)\n//\t      │\n//\t      ├─► WriteToLevel()    → main MemoryStore (unchanged)\n//\t      │\n//\t      └─► WALMessages channel\n//\t               │\n//\t               ▼\n//\t        WALStaging goroutine\n//\t               │\n//\t               ▼\n//\t        checkpoints/cluster/host/current.wal  (append-only, binary)\n//\n//\tPeriodic checkpoint (Checkpointing goroutine):\n//\t  1. Write <timestamp>.bin snapshot (column-oriented, from main tree)\n//\t  2. Signal WALStaging to truncate current.wal per host\n//\n//\tOn restart (FromCheckpoint):\n//\t  1. Load most recent <timestamp>.bin snapshot\n//\t  2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n//\n// # WAL Record Format\n//\n//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n//\n//\tpayload:\n//\t  [8B timestamp int64]\n//\t  [2B metric_name_len uint16][N metric name bytes]\n//\t  [1B selector_count uint8]\n//\t  per selector: [1B selector_len uint8][M selector bytes]\n//\t  [4B value float32 bits]\n//\n// # Binary Snapshot Format\n//\n//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n//\tLevel tree (recursive):\n//\t  [4B num_metrics uint32]\n//\t  per metric:\n//\t    [2B name_len uint16][N name bytes]\n//\t    [8B frequency int64][8B start int64]\n//\t    [4B num_values uint32][num_values × 4B float32]\n//\t  [4B num_children uint32]\n//\t  per child: [2B name_len uint16][N name bytes] + Level (recursive)\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/binary\"\n\t\"fmt\"\n\t\"hash/crc32\"\n\t\"hash/fnv\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"path\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Magic numbers for binary formats.\nconst (\n\twalFileMagic   = uint32(0xCC1DA701) // WAL file header magic\n\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n\tsnapFileMagic  = uint32(0xCC5B0001) // Binary snapshot magic\n)\n\n// walShardChs holds per-shard channels for WAL messages.\n// Initialized by WALStaging; nil when WAL is not active.\nvar walShardChs []chan *WALMessage\n\n// walShardRotateChs holds per-shard channels for WAL rotation requests.\nvar walShardRotateChs []chan walRotateReq\n\n// walNumShards stores the number of shards (set during WALStaging init).\nvar walNumShards int\n\n// WALMessage represents a single metric write to be appended to the WAL.\n// Cluster and Node are NOT stored in the WAL record (inferred from file path).\ntype WALMessage struct {\n\tMetricName string\n\tCluster    string\n\tNode       string\n\tSelector   []string\n\tValue      schema.Float\n\tTimestamp  int64\n}\n\n// walRotateReq requests WAL file rotation for a specific host directory.\n// The done channel is closed by the WAL goroutine when rotation is complete.\ntype walRotateReq struct {\n\thostDir string\n\tdone    chan struct{}\n}\n\n// walFileState holds an open WAL file handle and buffered writer for one host directory.\ntype walFileState struct {\n\tf *os.File\n\tw *bufio.Writer\n}\n\n// WALStaging starts a background goroutine that receives WALMessage items\n// and appends binary WAL records to per-host current.wal files.\n// Also handles WAL rotation requests from the checkpoint goroutine.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\twg.Go(func() {\n\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\t\treturn\n\t\t}\n\n\t\thostFiles := make(map[string]*walFileState)\n\n\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\n\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\tw := bufio.NewWriter(f)\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tws = &walFileState{f: f, w: w}\n\t\t\thostFiles[hostDir] = ws\n\t\t\treturn ws\n\t\t}\n\n\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tws := getOrOpenWAL(hostDir)\n\t\t\tif ws == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}\n\n\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.w.Flush()\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}\n\n\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\t// Flush all buffered writers after draining remaining messages.\n\t\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\n\t\t\t\t// Drain up to 256 more messages without blocking to batch writes.\n\t\t\t\tfor range 256 {\n\t\t\t\t\tselect {\n\t\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\t\tif !ok {\n\t\t\t\t\t\t\treturn\n\t\t\t\t\t\t}\n\t\t\t\t\t\tprocessMsg(msg)\n\t\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\t\tprocessRotate(req)\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tgoto flushed\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\tflushed:\n\t\t\t\t// Flush all buffered writers after processing the batch.\n\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFiles(hostDirs []string) {\n\tdones := make([]chan struct{}, len(hostDirs))\n\tfor i, dir := range hostDirs {\n\t\tdones[i] = make(chan struct{})\n\t\twalRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}\n\t}\n\tfor _, done := range dones {\n\t\t<-done\n\t}\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFilesAfterShutdown(hostDirs []string) {\n\tfor _, dir := range hostDirs {\n\t\twalPath := path.Join(dir, \"current.wal\")\n\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t}\n\t}\n}\n\n// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\nfunc buildWALPayload(msg *WALMessage) []byte {\n\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n\tfor _, s := range msg.Selector {\n\t\tsize += 1 + len(s)\n\t}\n\n\tbuf := make([]byte, 0, size)\n\n\t// Timestamp (8 bytes, little-endian int64)\n\tvar ts [8]byte\n\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n\tbuf = append(buf, ts[:]...)\n\n\t// Metric name (2-byte length prefix + bytes)\n\tvar mLen [2]byte\n\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n\tbuf = append(buf, mLen[:]...)\n\tbuf = append(buf, msg.MetricName...)\n\n\t// Selector count (1 byte)\n\tbuf = append(buf, byte(len(msg.Selector)))\n\n\t// Selectors (1-byte length prefix + bytes each)\n\tfor _, sel := range msg.Selector {\n\t\tbuf = append(buf, byte(len(sel)))\n\t\tbuf = append(buf, sel...)\n\t}\n\n\t// Value (4 bytes, float32 bit representation)\n\tvar val [4]byte\n\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n\tbuf = append(buf, val[:]...)\n\n\treturn buf\n}\n\n// writeWALRecord appends a binary WAL record to the writer.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(w io.Writer, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := w.Write(record)\n\treturn err\n}\n\n// readWALRecord reads one WAL record from the reader.\n// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n// A CRC mismatch indicates a truncated trailing record (expected on crash).\nfunc readWALRecord(r io.Reader) (*WALMessage, error) {\n\tvar magic uint32\n\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil, nil // Clean EOF\n\t\t}\n\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n\t}\n\n\tif magic != walRecordMagic {\n\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n\t}\n\n\tvar payloadLen uint32\n\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n\t}\n\n\tif payloadLen > 1<<20 { // 1 MB sanity limit\n\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n\t}\n\n\tpayload := make([]byte, payloadLen)\n\tif _, err := io.ReadFull(r, payload); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n\t}\n\n\tvar storedCRC uint32\n\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n\t}\n\n\tif crc32.ChecksumIEEE(payload) != storedCRC {\n\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n\t}\n\n\treturn parseWALPayload(payload)\n}\n\n// parseWALPayload decodes a binary payload into a WALMessage.\nfunc parseWALPayload(payload []byte) (*WALMessage, error) {\n\tif len(payload) < 8+2+1+4 {\n\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n\t}\n\n\toffset := 0\n\n\t// Timestamp (8 bytes)\n\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n\toffset += 8\n\n\t// Metric name (2-byte length + bytes)\n\tif offset+2 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n\t}\n\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n\toffset += 2\n\n\tif offset+mLen > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n\t}\n\tmetricName := string(payload[offset : offset+mLen])\n\toffset += mLen\n\n\t// Selector count (1 byte)\n\tif offset >= len(payload) {\n\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n\t}\n\tselCount := int(payload[offset])\n\toffset++\n\n\tselectors := make([]string, selCount)\n\tfor i := range selCount {\n\t\tif offset >= len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n\t\t}\n\t\tsLen := int(payload[offset])\n\t\toffset++\n\n\t\tif offset+sLen > len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n\t\t}\n\t\tselectors[i] = string(payload[offset : offset+sLen])\n\t\toffset += sLen\n\t}\n\n\t// Value (4 bytes, float32 bits)\n\tif offset+4 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n\t}\n\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n\tvalue := schema.Float(math.Float32frombits(bits))\n\n\treturn &WALMessage{\n\t\tMetricName: metricName,\n\t\tTimestamp:  ts,\n\t\tSelector:   selectors,\n\t\tValue:      value,\n\t}, nil\n}\n\n// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n// l is the host-level node. Corrupt or partial trailing records are silently skipped\n// (expected on crash). Records older than 'from' are skipped.\nfunc (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\t// Verify file header magic.\n\tvar fileMagic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil // Empty file, no data\n\t\t}\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n\t}\n\n\tif fileMagic != walFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n\t}\n\n\t// Cache level lookups to avoid repeated tree traversal.\n\tlvlCache := make(map[string]*Level)\n\n\tfor {\n\t\tmsg, err := readWALRecord(br)\n\t\tif err != nil {\n\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n\t\t\tbreak\n\t\t}\n\t\tif msg == nil {\n\t\t\tbreak // Clean EOF\n\t\t}\n\n\t\tif msg.Timestamp < from {\n\t\t\tcontinue // Older than retention window\n\t\t}\n\n\t\tminfo, ok := m.Metrics[msg.MetricName]\n\t\tif !ok {\n\t\t\tcontinue // Unknown metric (config may have changed)\n\t\t}\n\n\t\t// Cache key is the null-separated selector path.\n\t\tcacheKey := joinSelector(msg.Selector)\n\t\tlvl, ok := lvlCache[cacheKey]\n\t\tif !ok {\n\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n\t\t\tlvlCache[cacheKey] = lvl\n\t\t}\n\n\t\t// Write directly to the buffer, same as WriteToLevel but without the\n\t\t// global level lookup (we already have the right level).\n\t\tlvl.lock.Lock()\n\t\tb := lvl.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n\t\t\tlvl.metrics[minfo.offset] = b\n\t\t}\n\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n\t\tif writeErr == nil && b != nb {\n\t\t\tlvl.metrics[minfo.offset] = nb\n\t\t}\n\t\t// Ignore write errors for timestamps before buffer start (can happen when\n\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n\t\tlvl.lock.Unlock()\n\t}\n\n\treturn nil\n}\n\n// joinSelector builds a cache key from a selector slice using null bytes as separators.\nfunc joinSelector(sel []string) string {\n\tif len(sel) == 0 {\n\t\treturn \"\"\n\t}\n\tvar result strings.Builder\n\tresult.WriteString(sel[0])\n\tfor i := 1; i < len(sel); i++ {\n\t\tresult.WriteString(\"\\x00\" + sel[i])\n\t}\n\treturn result.String()\n}\n\n// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n// Returns the number of files written, the list of host directories that were\n// successfully checkpointed (for WAL rotation), and any errors.\nfunc (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n\t// Collect all cluster/host pairs.\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel    *Level\n\t\thostDir  string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\tvar successDirs []string\n\tvar successMu sync.Mutex\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\n\tfor range Keys.NumWorkers {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor wi := range work {\n\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n\t\t\t\tif err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\tsuccessMu.Lock()\n\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n\t\t\t\t\tsuccessMu.Unlock()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := range levels {\n\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel:    levels[i],\n\t\t\thostDir:  hostDir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n\t}\n\treturn int(n), successDirs, nil\n}\n\n// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\nfunc (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n\t}\n\n\t// Write to a temp file first, then rename (atomic on POSIX).\n\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n\n\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n\t}\n\n\tbw := bufio.NewWriter(f)\n\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n\t}\n\tif err := bw.Flush(); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn err\n\t}\n\tf.Close()\n\n\treturn os.Rename(tmpPath, finalPath)\n}\n\n// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\nfunc writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n\t\treturn err\n\t}\n\treturn writeBinaryLevel(w, cf)\n}\n\n// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\nfunc writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, metric := range cf.Metrics {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tfor _, v := range metric.Data {\n\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, child := range cf.Children {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := writeBinaryLevel(w, child); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// writeString16 writes a 2-byte length-prefixed string to w.\nfunc writeString16(w io.Writer, s string) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n\t\treturn err\n\t}\n\t_, err := io.WriteString(w, s)\n\treturn err\n}\n\n// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n// The retention check (from) is applied to the file's 'to' timestamp.\nfunc (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\tvar magic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n\t}\n\tif magic != snapFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n\t}\n\n\tvar fileFrom, fileTo int64\n\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n\t}\n\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n\t}\n\n\tif fileTo != 0 && fileTo < from {\n\t\treturn nil // File is older than retention window, skip it\n\t}\n\n\tcf, err := readBinaryLevel(br)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n\t}\n\tcf.From = fileFrom\n\tcf.To = fileTo\n\n\treturn l.loadFile(cf, m)\n}\n\n// readBinaryLevel recursively reads a level from the binary snapshot format.\nfunc readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n\tcf := &CheckpointFile{\n\t\tMetrics:  make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tvar numMetrics uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n\t}\n\n\tfor range numMetrics {\n\t\tname, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n\t\t}\n\n\t\tvar freq, start int64\n\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n\t\t}\n\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n\t\t}\n\n\t\tvar numValues uint32\n\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n\t\t}\n\n\t\tdata := make([]schema.Float, numValues)\n\t\tfor i := range numValues {\n\t\t\tvar bits uint32\n\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n\t\t\t}\n\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n\t\t}\n\n\t\tcf.Metrics[name] = &CheckpointMetrics{\n\t\t\tFrequency: freq,\n\t\t\tStart:     start,\n\t\t\tData:      data,\n\t\t}\n\t}\n\n\tvar numChildren uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_children: %w\", err)\n\t}\n\n\tfor range numChildren {\n\t\tchildName, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child name: %w\", err)\n\t\t}\n\n\t\tchild, err := readBinaryLevel(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child %s: %w\", childName, err)\n\t\t}\n\t\tcf.Children[childName] = child\n\t}\n\n\treturn cf, nil\n}\n\n// readString16 reads a 2-byte length-prefixed string from r.\nfunc readString16(r io.Reader) (string, error) {\n\tvar sLen uint16\n\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {\n\t\treturn \"\", err\n\t}\n\tbuf := make([]byte, sLen)\n\tif _, err := io.ReadFull(r, buf); err != nil {\n\t\treturn \"\", err\n\t}\n\treturn string(buf), nil\n}\n","structuredPatch":[{"oldStart":115,"oldLines":147,"newStart":115,"newLines":187,"lines":["   w *bufio.Writer"," }"," ","-// WALStaging starts a background goroutine that receives WALMessage items","-// and appends binary WAL records to per-host current.wal files.","-// Also handles WAL rotation requests from the checkpoint goroutine.","+// walShardIndex computes which shard a message belongs to based on cluster+node.","+// Uses FNV-1a hash for fast, well-distributed mapping.","+func walShardIndex(cluster, node string) int {","+  h := fnv.New32a()","+  h.Write([]byte(cluster))","+  h.Write([]byte{0})","+  h.Write([]byte(node))","+  return int(h.Sum32()) % walNumShards","+}","+","+// SendWALMessage routes a WAL message to the appropriate shard channel.","+// Returns false if the channel is full (message dropped).","+func SendWALMessage(msg *WALMessage) bool {","+  if walShardChs == nil {","+    return false","+  }","+  shard := walShardIndex(msg.Cluster, msg.Node)","+  select {","+  case walShardChs[shard] <- msg:","+    return true","+  default:","+    return false","+  }","+}","+","+// WALStaging starts N sharded background goroutines that receive WALMessage items","+// and append binary WAL records to per-host current.wal files.","+// Each shard owns a subset of hosts (determined by hash of cluster+node),","+// parallelizing serialization and I/O while keeping per-host writes serial."," func WALStaging(wg *sync.WaitGroup, ctx context.Context) {","-  wg.Go(func() {","-    if Keys.Checkpoints.FileFormat == \"json\" {","-      return","-    }","+  if Keys.Checkpoints.FileFormat == \"json\" {","+    return","+  }"," ","-    hostFiles := make(map[string]*walFileState)","+  walNumShards = max(Keys.NumWorkers, 1)","+  chBufSize := max(65536/walNumShards, 1024)"," ","-    defer func() {","-      for _, ws := range hostFiles {","-        if ws.f != nil {","-          ws.w.Flush()","-          ws.f.Close()","-        }","-      }","-    }()","+  walShardChs = make([]chan *WALMessage, walNumShards)","+  walShardRotateChs = make([]chan walRotateReq, walNumShards)"," ","-    getOrOpenWAL := func(hostDir string) *walFileState {","-      ws, ok := hostFiles[hostDir]","-      if ok {","-        return ws","-      }","+  for i := range walNumShards {","+    walShardChs[i] = make(chan *WALMessage, chBufSize)","+    walShardRotateChs[i] = make(chan walRotateReq, 64)","+  }"," ","-      if err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {","-        cclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)","-        return nil","-      }","+  for i := range walNumShards {","+    msgCh := walShardChs[i]","+    rotateCh := walShardRotateChs[i]"," ","-      walPath := path.Join(hostDir, \"current.wal\")","-      f, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)","-      if err != nil {","-        cclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)","-        return nil","-      }","+    wg.Go(func() {","+      hostFiles := make(map[string]*walFileState)"," ","-      w := bufio.NewWriter(f)","+      defer func() {","+        for _, ws := range hostFiles {","+          if ws.f != nil {","+            ws.w.Flush()","+            ws.f.Close()","+          }","+        }","+      }()"," ","-      // Write file header magic if file is new (empty).","-      info, err := f.Stat()","-      if err == nil && info.Size() == 0 {","-        var hdr [4]byte","-        binary.LittleEndian.PutUint32(hdr[:], walFileMagic)","-        if _, err := w.Write(hdr[:]); err != nil {","-          cclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)","-          f.Close()","+      getOrOpenWAL := func(hostDir string) *walFileState {","+        ws, ok := hostFiles[hostDir]","+        if ok {","+          return ws","+        }","+","+        if err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {","+          cclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)","           return nil","         }","-      }"," ","-      ws = &walFileState{f: f, w: w}","-      hostFiles[hostDir] = ws","-      return ws","-    }","+        walPath := path.Join(hostDir, \"current.wal\")","+        f, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)","+        if err != nil {","+          cclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)","+          return nil","+        }"," ","-    processMsg := func(msg *WALMessage) {","-      hostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)","-      ws := getOrOpenWAL(hostDir)","-      if ws == nil {","-        return","+        w := bufio.NewWriter(f)","+","+        // Write file header magic if file is new (empty).","+        info, err := f.Stat()","+        if err == nil && info.Size() == 0 {","+          var hdr [4]byte","+          binary.LittleEndian.PutUint32(hdr[:], walFileMagic)","+          if _, err := w.Write(hdr[:]); err != nil {","+            cclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)","+            f.Close()","+            return nil","+          }","+        }","+","+        ws = &walFileState{f: f, w: w}","+        hostFiles[hostDir] = ws","+        return ws","       }","-      if err := writeWALRecord(ws.w, msg); err != nil {","-        cclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)","-      }","-    }"," ","-    processRotate := func(req walRotateReq) {","-      ws, ok := hostFiles[req.hostDir]","-      if ok && ws.f != nil {","-        ws.w.Flush()","-        ws.f.Close()","-        walPath := path.Join(req.hostDir, \"current.wal\")","-        if err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {","-          cclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)","+      processMsg := func(msg *WALMessage) {","+        hostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)","+        ws := getOrOpenWAL(hostDir)","+        if ws == nil {","+          return","         }","-        delete(hostFiles, req.hostDir)","+        if err := writeWALRecordDirect(ws.w, msg); err != nil {","+          cclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)","+        }","       }","-      close(req.done)","-    }"," ","-    drain := func() {","-      for {","-        select {","-        case msg, ok := <-WALMessages:","-          if !ok {","-            return","+      processRotate := func(req walRotateReq) {","+        ws, ok := hostFiles[req.hostDir]","+        if ok && ws.f != nil {","+          ws.w.Flush()","+          ws.f.Close()","+          walPath := path.Join(req.hostDir, \"current.wal\")","+          if err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {","+            cclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)","           }","-          processMsg(msg)","-        case req := <-walRotateCh:","-          processRotate(req)","-        default:","-          // Flush all buffered writers after draining remaining messages.","-          for _, ws := range hostFiles {","-            if ws.f != nil {","-              ws.w.Flush()","-            }","-          }","-          return","+          delete(hostFiles, req.hostDir)","         }","+        close(req.done)","       }","-    }"," ","-    for {","-      select {","-      case <-ctx.Done():","-        drain()","-        return","-      case msg, ok := <-WALMessages:","-        if !ok {","-          return","+      flushAll := func() {","+        for _, ws := range hostFiles {","+          if ws.f != nil {","+            ws.w.Flush()","+          }","         }","-        processMsg(msg)","+      }"," ","-        // Drain up to 256 more messages without blocking to batch writes.","-        for range 256 {","+      drain := func() {","+        for {","           select {","-          case msg, ok := <-WALMessages:","+          case msg, ok := <-msgCh:","             if !ok {","               return","             }","             processMsg(msg)","-          case req := <-walRotateCh:","+          case req := <-rotateCh:","             processRotate(req)","           default:","-            goto flushed","+            flushAll()","+            return","           }","         }","-      flushed:","-        // Flush all buffered writers after processing the batch.","-        for _, ws := range hostFiles {","-          if ws.f != nil {","-            ws.w.Flush()","+      }","+","+      for {","+        select {","+        case <-ctx.Done():","+          drain()","+          return","+        case msg, ok := <-msgCh:","+          if !ok {","+            return","           }","+          processMsg(msg)","+","+          // Drain up to 256 more messages without blocking to batch writes.","+          for range 256 {","+            select {","+            case msg, ok := <-msgCh:","+              if !ok {","+                return","+              }","+              processMsg(msg)","+            case req := <-rotateCh:","+              processRotate(req)","+            default:","+              goto flushed","+            }","+          }","+        flushed:","+          flushAll()","+        case req := <-rotateCh:","+          processRotate(req)","         }","-      case req := <-walRotateCh:","-        processRotate(req)","       }","-    }","-  })","+    })","+  }"," }"," "," // RotateWALFiles sends rotation requests for the given host directories"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"204ce3a2-a499-4c2d-9ae9-1b3453c4603d","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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Each request is routed to the\n// shard that owns the host directory.\nfunc RotateWALFiles(hostDirs []string) {\n\tif walShardRotateChs == nil {\n\t\treturn\n\t}\n\tdones := make([]chan struct{}, len(hostDirs))\n\tfor i, dir := range hostDirs {\n\t\tdones[i] = make(chan struct{})\n\t\t// Extract cluster/node from hostDir to find the right shard.\n\t\t// hostDir = rootDir/cluster/node\n\t\tshard := walShardIndexFromDir(dir)\n\t\twalShardRotateChs[shard] <- walRotateReq{hostDir: dir, done: dones[i]}\n\t}\n\tfor _, done := range dones {\n\t\t<-done\n\t}\n}\n\n// walShardIndexFromDir extracts cluster and node from a host directory path\n// and returns the shard index. The path format is: rootDir/cluster/node\nfunc walShardIndexFromDir(hostDir string) int {\n\t// hostDir = .../cluster/node — extract last two path components\n\tnode := path.Base(hostDir)\n\tcluster := path.Base(path.Dir(hostDir))\n\treturn walShardIndex(cluster, node)\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n//\n// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n// per host, eliminating the extra memory overhead of the AvroStore and providing\n// truly continuous (per-write) crash safety.\n//\n// # Architecture\n//\n//\tMetric write (DecodeLine)\n//\t      │\n//\t      ├─► WriteToLevel()    → main MemoryStore (unchanged)\n//\t      │\n//\t      └─► WALMessages channel\n//\t               │\n//\t               ▼\n//\t        WALStaging goroutine\n//\t               │\n//\t               ▼\n//\t        checkpoints/cluster/host/current.wal  (append-only, binary)\n//\n//\tPeriodic checkpoint (Checkpointing goroutine):\n//\t  1. Write <timestamp>.bin snapshot (column-oriented, from main tree)\n//\t  2. Signal WALStaging to truncate current.wal per host\n//\n//\tOn restart (FromCheckpoint):\n//\t  1. Load most recent <timestamp>.bin snapshot\n//\t  2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n//\n// # WAL Record Format\n//\n//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n//\n//\tpayload:\n//\t  [8B timestamp int64]\n//\t  [2B metric_name_len uint16][N metric name bytes]\n//\t  [1B selector_count uint8]\n//\t  per selector: [1B selector_len uint8][M selector bytes]\n//\t  [4B value float32 bits]\n//\n// # Binary Snapshot Format\n//\n//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n//\tLevel tree (recursive):\n//\t  [4B num_metrics uint32]\n//\t  per metric:\n//\t    [2B name_len uint16][N name bytes]\n//\t    [8B frequency int64][8B start int64]\n//\t    [4B num_values uint32][num_values × 4B float32]\n//\t  [4B num_children uint32]\n//\t  per child: [2B name_len uint16][N name bytes] + Level (recursive)\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/binary\"\n\t\"fmt\"\n\t\"hash/crc32\"\n\t\"hash/fnv\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"path\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Magic numbers for binary formats.\nconst (\n\twalFileMagic   = uint32(0xCC1DA701) // WAL file header magic\n\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n\tsnapFileMagic  = uint32(0xCC5B0001) // Binary snapshot magic\n)\n\n// walShardChs holds per-shard channels for WAL messages.\n// Initialized by WALStaging; nil when WAL is not active.\nvar walShardChs []chan *WALMessage\n\n// walShardRotateChs holds per-shard channels for WAL rotation requests.\nvar walShardRotateChs []chan walRotateReq\n\n// walNumShards stores the number of shards (set during WALStaging init).\nvar walNumShards int\n\n// WALMessage represents a single metric write to be appended to the WAL.\n// Cluster and Node are NOT stored in the WAL record (inferred from file path).\ntype WALMessage struct {\n\tMetricName string\n\tCluster    string\n\tNode       string\n\tSelector   []string\n\tValue      schema.Float\n\tTimestamp  int64\n}\n\n// walRotateReq requests WAL file rotation for a specific host directory.\n// The done channel is closed by the WAL goroutine when rotation is complete.\ntype walRotateReq struct {\n\thostDir string\n\tdone    chan struct{}\n}\n\n// walFileState holds an open WAL file handle and buffered writer for one host directory.\ntype walFileState struct {\n\tf *os.File\n\tw *bufio.Writer\n}\n\n// walShardIndex computes which shard a message belongs to based on cluster+node.\n// Uses FNV-1a hash for fast, well-distributed mapping.\nfunc walShardIndex(cluster, node string) int {\n\th := fnv.New32a()\n\th.Write([]byte(cluster))\n\th.Write([]byte{0})\n\th.Write([]byte(node))\n\treturn int(h.Sum32()) % walNumShards\n}\n\n// SendWALMessage routes a WAL message to the appropriate shard channel.\n// Returns false if the channel is full (message dropped).\nfunc SendWALMessage(msg *WALMessage) bool {\n\tif walShardChs == nil {\n\t\treturn false\n\t}\n\tshard := walShardIndex(msg.Cluster, msg.Node)\n\tselect {\n\tcase walShardChs[shard] <- msg:\n\t\treturn true\n\tdefault:\n\t\treturn false\n\t}\n}\n\n// WALStaging starts N sharded background goroutines that receive WALMessage items\n// and append binary WAL records to per-host current.wal files.\n// Each shard owns a subset of hosts (determined by hash of cluster+node),\n// parallelizing serialization and I/O while keeping per-host writes serial.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\treturn\n\t}\n\n\twalNumShards = max(Keys.NumWorkers, 1)\n\tchBufSize := max(65536/walNumShards, 1024)\n\n\twalShardChs = make([]chan *WALMessage, walNumShards)\n\twalShardRotateChs = make([]chan walRotateReq, walNumShards)\n\n\tfor i := range walNumShards {\n\t\twalShardChs[i] = make(chan *WALMessage, chBufSize)\n\t\twalShardRotateChs[i] = make(chan walRotateReq, 64)\n\t}\n\n\tfor i := range walNumShards {\n\t\tmsgCh := walShardChs[i]\n\t\trotateCh := walShardRotateChs[i]\n\n\t\twg.Go(func() {\n\t\t\thostFiles := make(map[string]*walFileState)\n\n\t\t\tdefer func() {\n\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t\tws.f.Close()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\n\t\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n\t\t\t\tws, ok := hostFiles[hostDir]\n\t\t\t\tif ok {\n\t\t\t\t\treturn ws\n\t\t\t\t}\n\n\t\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\n\t\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\n\t\t\t\tw := bufio.NewWriter(f)\n\n\t\t\t\t// Write file header magic if file is new (empty).\n\t\t\t\tinfo, err := f.Stat()\n\t\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\t\tvar hdr [4]byte\n\t\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\t\tf.Close()\n\t\t\t\t\t\treturn nil\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\tws = &walFileState{f: f, w: w}\n\t\t\t\thostFiles[hostDir] = ws\n\t\t\t\treturn ws\n\t\t\t}\n\n\t\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\t\tws := getOrOpenWAL(hostDir)\n\t\t\t\tif ws == nil {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tif err := writeWALRecordDirect(ws.w, msg); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tprocessRotate := func(req walRotateReq) {\n\t\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\t\tif ok && ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t\t}\n\t\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t\t}\n\t\t\t\tclose(req.done)\n\t\t\t}\n\n\t\t\tflushAll := func() {\n\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tdrain := func() {\n\t\t\t\tfor {\n\t\t\t\t\tselect {\n\t\t\t\t\tcase msg, ok := <-msgCh:\n\t\t\t\t\t\tif !ok {\n\t\t\t\t\t\t\treturn\n\t\t\t\t\t\t}\n\t\t\t\t\t\tprocessMsg(msg)\n\t\t\t\t\tcase req := <-rotateCh:\n\t\t\t\t\t\tprocessRotate(req)\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tflushAll()\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase <-ctx.Done():\n\t\t\t\t\tdrain()\n\t\t\t\t\treturn\n\t\t\t\tcase msg, ok := <-msgCh:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\n\t\t\t\t\t// Drain up to 256 more messages without blocking to batch writes.\n\t\t\t\t\tfor range 256 {\n\t\t\t\t\t\tselect {\n\t\t\t\t\t\tcase msg, ok := <-msgCh:\n\t\t\t\t\t\t\tif !ok {\n\t\t\t\t\t\t\t\treturn\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tprocessMsg(msg)\n\t\t\t\t\t\tcase req := <-rotateCh:\n\t\t\t\t\t\t\tprocessRotate(req)\n\t\t\t\t\t\tdefault:\n\t\t\t\t\t\t\tgoto flushed\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\tflushed:\n\t\t\t\t\tflushAll()\n\t\t\t\tcase req := <-rotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\t}\n\t\t\t}\n\t\t})\n\t}\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFiles(hostDirs []string) {\n\tdones := make([]chan struct{}, len(hostDirs))\n\tfor i, dir := range hostDirs {\n\t\tdones[i] = make(chan struct{})\n\t\twalRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}\n\t}\n\tfor _, done := range dones {\n\t\t<-done\n\t}\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFilesAfterShutdown(hostDirs []string) {\n\tfor _, dir := range hostDirs {\n\t\twalPath := path.Join(dir, \"current.wal\")\n\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t}\n\t}\n}\n\n// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\nfunc buildWALPayload(msg *WALMessage) []byte {\n\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n\tfor _, s := range msg.Selector {\n\t\tsize += 1 + len(s)\n\t}\n\n\tbuf := make([]byte, 0, size)\n\n\t// Timestamp (8 bytes, little-endian int64)\n\tvar ts [8]byte\n\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n\tbuf = append(buf, ts[:]...)\n\n\t// Metric name (2-byte length prefix + bytes)\n\tvar mLen [2]byte\n\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n\tbuf = append(buf, mLen[:]...)\n\tbuf = append(buf, msg.MetricName...)\n\n\t// Selector count (1 byte)\n\tbuf = append(buf, byte(len(msg.Selector)))\n\n\t// Selectors (1-byte length prefix + bytes each)\n\tfor _, sel := range msg.Selector {\n\t\tbuf = append(buf, byte(len(sel)))\n\t\tbuf = append(buf, sel...)\n\t}\n\n\t// Value (4 bytes, float32 bit representation)\n\tvar val [4]byte\n\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n\tbuf = append(buf, val[:]...)\n\n\treturn buf\n}\n\n// writeWALRecord appends a binary WAL record to the writer.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(w io.Writer, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := w.Write(record)\n\treturn err\n}\n\n// readWALRecord reads one WAL record from the reader.\n// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n// A CRC mismatch indicates a truncated trailing record (expected on crash).\nfunc readWALRecord(r io.Reader) (*WALMessage, error) {\n\tvar magic uint32\n\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil, nil // Clean EOF\n\t\t}\n\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n\t}\n\n\tif magic != walRecordMagic {\n\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n\t}\n\n\tvar payloadLen uint32\n\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n\t}\n\n\tif payloadLen > 1<<20 { // 1 MB sanity limit\n\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n\t}\n\n\tpayload := make([]byte, payloadLen)\n\tif _, err := io.ReadFull(r, payload); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n\t}\n\n\tvar storedCRC uint32\n\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n\t}\n\n\tif crc32.ChecksumIEEE(payload) != storedCRC {\n\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n\t}\n\n\treturn parseWALPayload(payload)\n}\n\n// parseWALPayload decodes a binary payload into a WALMessage.\nfunc parseWALPayload(payload []byte) (*WALMessage, error) {\n\tif len(payload) < 8+2+1+4 {\n\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n\t}\n\n\toffset := 0\n\n\t// Timestamp (8 bytes)\n\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n\toffset += 8\n\n\t// Metric name (2-byte length + bytes)\n\tif offset+2 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n\t}\n\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n\toffset += 2\n\n\tif offset+mLen > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n\t}\n\tmetricName := string(payload[offset : offset+mLen])\n\toffset += mLen\n\n\t// Selector count (1 byte)\n\tif offset >= len(payload) {\n\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n\t}\n\tselCount := int(payload[offset])\n\toffset++\n\n\tselectors := make([]string, selCount)\n\tfor i := range selCount {\n\t\tif offset >= len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n\t\t}\n\t\tsLen := int(payload[offset])\n\t\toffset++\n\n\t\tif offset+sLen > len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n\t\t}\n\t\tselectors[i] = string(payload[offset : offset+sLen])\n\t\toffset += sLen\n\t}\n\n\t// Value (4 bytes, float32 bits)\n\tif offset+4 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n\t}\n\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n\tvalue := schema.Float(math.Float32frombits(bits))\n\n\treturn &WALMessage{\n\t\tMetricName: metricName,\n\t\tTimestamp:  ts,\n\t\tSelector:   selectors,\n\t\tValue:      value,\n\t}, nil\n}\n\n// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n// l is the host-level node. Corrupt or partial trailing records are silently skipped\n// (expected on crash). Records older than 'from' are skipped.\nfunc (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\t// Verify file header magic.\n\tvar fileMagic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil // Empty file, no data\n\t\t}\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n\t}\n\n\tif fileMagic != walFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n\t}\n\n\t// Cache level lookups to avoid repeated tree traversal.\n\tlvlCache := make(map[string]*Level)\n\n\tfor {\n\t\tmsg, err := readWALRecord(br)\n\t\tif err != nil {\n\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n\t\t\tbreak\n\t\t}\n\t\tif msg == nil {\n\t\t\tbreak // Clean EOF\n\t\t}\n\n\t\tif msg.Timestamp < from {\n\t\t\tcontinue // Older than retention window\n\t\t}\n\n\t\tminfo, ok := m.Metrics[msg.MetricName]\n\t\tif !ok {\n\t\t\tcontinue // Unknown metric (config may have changed)\n\t\t}\n\n\t\t// Cache key is the null-separated selector path.\n\t\tcacheKey := joinSelector(msg.Selector)\n\t\tlvl, ok := lvlCache[cacheKey]\n\t\tif !ok {\n\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n\t\t\tlvlCache[cacheKey] = lvl\n\t\t}\n\n\t\t// Write directly to the buffer, same as WriteToLevel but without the\n\t\t// global level lookup (we already have the right level).\n\t\tlvl.lock.Lock()\n\t\tb := lvl.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n\t\t\tlvl.metrics[minfo.offset] = b\n\t\t}\n\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n\t\tif writeErr == nil && b != nb {\n\t\t\tlvl.metrics[minfo.offset] = nb\n\t\t}\n\t\t// Ignore write errors for timestamps before buffer start (can happen when\n\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n\t\tlvl.lock.Unlock()\n\t}\n\n\treturn nil\n}\n\n// joinSelector builds a cache key from a selector slice using null bytes as separators.\nfunc joinSelector(sel []string) string {\n\tif len(sel) == 0 {\n\t\treturn \"\"\n\t}\n\tvar result strings.Builder\n\tresult.WriteString(sel[0])\n\tfor i := 1; i < len(sel); i++ {\n\t\tresult.WriteString(\"\\x00\" + sel[i])\n\t}\n\treturn result.String()\n}\n\n// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n// Returns the number of files written, the list of host directories that were\n// successfully checkpointed (for WAL rotation), and any errors.\nfunc (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n\t// Collect all cluster/host pairs.\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel    *Level\n\t\thostDir  string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\tvar successDirs []string\n\tvar successMu sync.Mutex\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\n\tfor range Keys.NumWorkers {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor wi := range work {\n\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n\t\t\t\tif err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\tsuccessMu.Lock()\n\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n\t\t\t\t\tsuccessMu.Unlock()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := range levels {\n\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel:    levels[i],\n\t\t\thostDir:  hostDir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n\t}\n\treturn int(n), successDirs, nil\n}\n\n// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\nfunc (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n\t}\n\n\t// Write to a temp file first, then rename (atomic on POSIX).\n\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n\n\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n\t}\n\n\tbw := bufio.NewWriter(f)\n\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n\t}\n\tif err := bw.Flush(); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn err\n\t}\n\tf.Close()\n\n\treturn os.Rename(tmpPath, finalPath)\n}\n\n// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\nfunc writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n\t\treturn err\n\t}\n\treturn writeBinaryLevel(w, cf)\n}\n\n// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\nfunc writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, metric := range cf.Metrics {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tfor _, v := range metric.Data {\n\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, child := range cf.Children {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := writeBinaryLevel(w, child); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// writeString16 writes a 2-byte length-prefixed string to w.\nfunc writeString16(w io.Writer, s string) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n\t\treturn err\n\t}\n\t_, err := io.WriteString(w, s)\n\treturn err\n}\n\n// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n// The retention check (from) is applied to the file's 'to' timestamp.\nfunc (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\tvar magic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n\t}\n\tif magic != snapFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n\t}\n\n\tvar fileFrom, fileTo int64\n\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n\t}\n\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n\t}\n\n\tif fileTo != 0 && fileTo < from {\n\t\treturn nil // File is older than retention window, skip it\n\t}\n\n\tcf, err := readBinaryLevel(br)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n\t}\n\tcf.From = fileFrom\n\tcf.To = fileTo\n\n\treturn l.loadFile(cf, m)\n}\n\n// readBinaryLevel recursively reads a level from the binary snapshot format.\nfunc readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n\tcf := &CheckpointFile{\n\t\tMetrics:  make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tvar numMetrics uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n\t}\n\n\tfor range numMetrics {\n\t\tname, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n\t\t}\n\n\t\tvar freq, start int64\n\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n\t\t}\n\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n\t\t}\n\n\t\tvar numValues uint32\n\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n\t\t}\n\n\t\tdata := make([]schema.Float, numValues)\n\t\tfor i := range numValues {\n\t\t\tvar bits uint32\n\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n\t\t\t}\n\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n\t\t}\n\n\t\tcf.Metrics[name] = &CheckpointMetrics{\n\t\t\tFrequency: freq,\n\t\t\tStart:     start,\n\t\t\tData:      data,\n\t\t}\n\t}\n\n\tvar numChildren uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_children: %w\", err)\n\t}\n\n\tfor range numChildren {\n\t\tchildName, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child name: %w\", err)\n\t\t}\n\n\t\tchild, err := readBinaryLevel(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child %s: %w\", childName, err)\n\t\t}\n\t\tcf.Children[childName] = child\n\t}\n\n\treturn cf, nil\n}\n\n// readString16 reads a 2-byte length-prefixed string from r.\nfunc readString16(r io.Reader) (string, error) {\n\tvar sLen uint16\n\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {\n\t\treturn \"\", err\n\t}\n\tbuf := make([]byte, sLen)\n\tif _, err := io.ReadFull(r, buf); err != nil {\n\t\treturn \"\", err\n\t}\n\treturn string(buf), nil\n}\n","structuredPatch":[{"oldStart":299,"oldLines":18,"newStart":299,"newLines":34,"lines":[" }"," "," // RotateWALFiles sends rotation requests for the given host directories","-// and blocks until all rotations complete.","+// and blocks until all rotations complete. Each request is routed to the","+// shard that owns the host directory."," func RotateWALFiles(hostDirs []string) {","+  if walShardRotateChs == nil {","+    return","+  }","   dones := make([]chan struct{}, len(hostDirs))","   for i, dir := range hostDirs {","     dones[i] = make(chan struct{})","-    walRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}","+    // Extract cluster/node from hostDir to find the right shard.","+    // hostDir = rootDir/cluster/node","+    shard := walShardIndexFromDir(dir)","+    walShardRotateChs[shard] <- walRotateReq{hostDir: dir, done: dones[i]}","   }","   for _, done := range dones {","     <-done","   }"," }"," ","+// walShardIndexFromDir extracts cluster and node from a host directory path","+// and returns the shard index. The path format is: rootDir/cluster/node","+func walShardIndexFromDir(hostDir string) int {","+  // hostDir = .../cluster/node — extract last two path components","+  node := path.Base(hostDir)","+  cluster := path.Base(path.Dir(hostDir))","+  return walShardIndex(cluster, node)","+}","+"," // RotateWALFiles sends rotation requests for the given host directories"," // and blocks until all rotations complete."," func RotateWALFilesAfterShutdown(hostDirs []string) {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"0ce64c54-23cb-44f4-a275-cffc1dd20aee","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"parentUuid":"3829bf65-3ef2-4147-997a-93067d16f856","isSidechain":false,"promptId":"53f7aeff-f280-4fa6-a195-55ff40087d7e","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MK7wWVzyNRujJqPZ4AdhUm","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go has been updated successfully."}]},"uuid":"f516e388-967e-426b-8ce5-d27bb7de30f8","timestamp":"2026-03-18T05:30:50.739Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","oldString":"// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\nfunc buildWALPayload(msg *WALMessage) []byte {","newString":"// writeWALRecordDirect encodes a WAL record directly into the bufio.Writer,\n// avoiding heap allocations by using a stack-allocated scratch buffer for\n// the fixed-size header/trailer and computing CRC inline.\nfunc writeWALRecordDirect(w *bufio.Writer, msg *WALMessage) error {\n\t// Compute payload size.\n\tpayloadSize := 8 + 2 + len(msg.MetricName) + 1 + 4\n\tfor _, s := range msg.Selector {\n\t\tpayloadSize += 1 + len(s)\n\t}\n\n\t// Write magic + payload length (8 bytes header).\n\tvar hdr [8]byte\n\tbinary.LittleEndian.PutUint32(hdr[0:4], walRecordMagic)\n\tbinary.LittleEndian.PutUint32(hdr[4:8], uint32(payloadSize))\n\tif _, err := w.Write(hdr[:]); err != nil {\n\t\treturn err\n\t}\n\n\t// We need to compute CRC over the payload as we write it.\n\tcrc := crc32.NewIEEE()\n\n\t// Timestamp (8 bytes).\n\tvar scratch [8]byte\n\tbinary.LittleEndian.PutUint64(scratch[:8], uint64(msg.Timestamp))\n\tcrc.Write(scratch[:8])\n\tif _, err := w.Write(scratch[:8]); err != nil {\n\t\treturn err\n\t}\n\n\t// Metric name length (2 bytes) + metric name.\n\tbinary.LittleEndian.PutUint16(scratch[:2], uint16(len(msg.MetricName)))\n\tcrc.Write(scratch[:2])\n\tif _, err := w.Write(scratch[:2]); err != nil {\n\t\treturn err\n\t}\n\tnameBytes := []byte(msg.MetricName)\n\tcrc.Write(nameBytes)\n\tif _, err := w.Write(nameBytes); err != nil {\n\t\treturn err\n\t}\n\n\t// Selector count (1 byte).\n\tscratch[0] = byte(len(msg.Selector))\n\tcrc.Write(scratch[:1])\n\tif _, err := w.Write(scratch[:1]); err != nil {\n\t\treturn err\n\t}\n\n\t// Selectors (1-byte length + bytes each).\n\tfor _, sel := range msg.Selector {\n\t\tscratch[0] = byte(len(sel))\n\t\tcrc.Write(scratch[:1])\n\t\tif _, err := w.Write(scratch[:1]); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tselBytes := []byte(sel)\n\t\tcrc.Write(selBytes)\n\t\tif _, err := w.Write(selBytes); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// Value (4 bytes, float32 bits).\n\tbinary.LittleEndian.PutUint32(scratch[:4], math.Float32bits(float32(msg.Value)))\n\tcrc.Write(scratch[:4])\n\tif _, err := w.Write(scratch[:4]); err != nil {\n\t\treturn err\n\t}\n\n\t// CRC32 (4 bytes).\n\tbinary.LittleEndian.PutUint32(scratch[:4], crc.Sum32())\n\t_, err := w.Write(scratch[:4])\n\treturn err\n}\n\n// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\nfunc buildWALPayload(msg *WALMessage) []byte {","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n//\n// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n// per host, eliminating the extra memory overhead of the AvroStore and providing\n// truly continuous (per-write) crash safety.\n//\n// # Architecture\n//\n//\tMetric write (DecodeLine)\n//\t      │\n//\t      ├─► WriteToLevel()    → main MemoryStore (unchanged)\n//\t      │\n//\t      └─► WALMessages channel\n//\t               │\n//\t               ▼\n//\t        WALStaging goroutine\n//\t               │\n//\t               ▼\n//\t        checkpoints/cluster/host/current.wal  (append-only, binary)\n//\n//\tPeriodic checkpoint (Checkpointing goroutine):\n//\t  1. Write <timestamp>.bin snapshot (column-oriented, from main tree)\n//\t  2. Signal WALStaging to truncate current.wal per host\n//\n//\tOn restart (FromCheckpoint):\n//\t  1. Load most recent <timestamp>.bin snapshot\n//\t  2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n//\n// # WAL Record Format\n//\n//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n//\n//\tpayload:\n//\t  [8B timestamp int64]\n//\t  [2B metric_name_len uint16][N metric name bytes]\n//\t  [1B selector_count uint8]\n//\t  per selector: [1B selector_len uint8][M selector bytes]\n//\t  [4B value float32 bits]\n//\n// # Binary Snapshot Format\n//\n//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n//\tLevel tree (recursive):\n//\t  [4B num_metrics uint32]\n//\t  per metric:\n//\t    [2B name_len uint16][N name bytes]\n//\t    [8B frequency int64][8B start int64]\n//\t    [4B num_values uint32][num_values × 4B float32]\n//\t  [4B num_children uint32]\n//\t  per child: [2B name_len uint16][N name bytes] + Level (recursive)\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/binary\"\n\t\"fmt\"\n\t\"hash/crc32\"\n\t\"hash/fnv\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"path\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Magic numbers for binary formats.\nconst (\n\twalFileMagic   = uint32(0xCC1DA701) // WAL file header magic\n\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n\tsnapFileMagic  = uint32(0xCC5B0001) // Binary snapshot magic\n)\n\n// walShardChs holds per-shard channels for WAL messages.\n// Initialized by WALStaging; nil when WAL is not active.\nvar walShardChs []chan *WALMessage\n\n// walShardRotateChs holds per-shard channels for WAL rotation requests.\nvar walShardRotateChs []chan walRotateReq\n\n// walNumShards stores the number of shards (set during WALStaging init).\nvar walNumShards int\n\n// WALMessage represents a single metric write to be appended to the WAL.\n// Cluster and Node are NOT stored in the WAL record (inferred from file path).\ntype WALMessage struct {\n\tMetricName string\n\tCluster    string\n\tNode       string\n\tSelector   []string\n\tValue      schema.Float\n\tTimestamp  int64\n}\n\n// walRotateReq requests WAL file rotation for a specific host directory.\n// The done channel is closed by the WAL goroutine when rotation is complete.\ntype walRotateReq struct {\n\thostDir string\n\tdone    chan struct{}\n}\n\n// walFileState holds an open WAL file handle and buffered writer for one host directory.\ntype walFileState struct {\n\tf *os.File\n\tw *bufio.Writer\n}\n\n// walShardIndex computes which shard a message belongs to based on cluster+node.\n// Uses FNV-1a hash for fast, well-distributed mapping.\nfunc walShardIndex(cluster, node string) int {\n\th := fnv.New32a()\n\th.Write([]byte(cluster))\n\th.Write([]byte{0})\n\th.Write([]byte(node))\n\treturn int(h.Sum32()) % walNumShards\n}\n\n// SendWALMessage routes a WAL message to the appropriate shard channel.\n// Returns false if the channel is full (message dropped).\nfunc SendWALMessage(msg *WALMessage) bool {\n\tif walShardChs == nil {\n\t\treturn false\n\t}\n\tshard := walShardIndex(msg.Cluster, msg.Node)\n\tselect {\n\tcase walShardChs[shard] <- msg:\n\t\treturn true\n\tdefault:\n\t\treturn false\n\t}\n}\n\n// WALStaging starts N sharded background goroutines that receive WALMessage items\n// and append binary WAL records to per-host current.wal files.\n// Each shard owns a subset of hosts (determined by hash of cluster+node),\n// parallelizing serialization and I/O while keeping per-host writes serial.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\treturn\n\t}\n\n\twalNumShards = max(Keys.NumWorkers, 1)\n\tchBufSize := max(65536/walNumShards, 1024)\n\n\twalShardChs = make([]chan *WALMessage, walNumShards)\n\twalShardRotateChs = make([]chan walRotateReq, walNumShards)\n\n\tfor i := range walNumShards {\n\t\twalShardChs[i] = make(chan *WALMessage, chBufSize)\n\t\twalShardRotateChs[i] = make(chan walRotateReq, 64)\n\t}\n\n\tfor i := range walNumShards {\n\t\tmsgCh := walShardChs[i]\n\t\trotateCh := walShardRotateChs[i]\n\n\t\twg.Go(func() {\n\t\t\thostFiles := make(map[string]*walFileState)\n\n\t\t\tdefer func() {\n\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t\tws.f.Close()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\n\t\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n\t\t\t\tws, ok := hostFiles[hostDir]\n\t\t\t\tif ok {\n\t\t\t\t\treturn ws\n\t\t\t\t}\n\n\t\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\n\t\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\n\t\t\t\tw := bufio.NewWriter(f)\n\n\t\t\t\t// Write file header magic if file is new (empty).\n\t\t\t\tinfo, err := f.Stat()\n\t\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\t\tvar hdr [4]byte\n\t\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\t\tf.Close()\n\t\t\t\t\t\treturn nil\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\tws = &walFileState{f: f, w: w}\n\t\t\t\thostFiles[hostDir] = ws\n\t\t\t\treturn ws\n\t\t\t}\n\n\t\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\t\tws := getOrOpenWAL(hostDir)\n\t\t\t\tif ws == nil {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tif err := writeWALRecordDirect(ws.w, msg); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tprocessRotate := func(req walRotateReq) {\n\t\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\t\tif ok && ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t\t}\n\t\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t\t}\n\t\t\t\tclose(req.done)\n\t\t\t}\n\n\t\t\tflushAll := func() {\n\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tdrain := func() {\n\t\t\t\tfor {\n\t\t\t\t\tselect {\n\t\t\t\t\tcase msg, ok := <-msgCh:\n\t\t\t\t\t\tif !ok {\n\t\t\t\t\t\t\treturn\n\t\t\t\t\t\t}\n\t\t\t\t\t\tprocessMsg(msg)\n\t\t\t\t\tcase req := <-rotateCh:\n\t\t\t\t\t\tprocessRotate(req)\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tflushAll()\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase <-ctx.Done():\n\t\t\t\t\tdrain()\n\t\t\t\t\treturn\n\t\t\t\tcase msg, ok := <-msgCh:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\n\t\t\t\t\t// Drain up to 256 more messages without blocking to batch writes.\n\t\t\t\t\tfor range 256 {\n\t\t\t\t\t\tselect {\n\t\t\t\t\t\tcase msg, ok := <-msgCh:\n\t\t\t\t\t\t\tif !ok {\n\t\t\t\t\t\t\t\treturn\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tprocessMsg(msg)\n\t\t\t\t\t\tcase req := <-rotateCh:\n\t\t\t\t\t\t\tprocessRotate(req)\n\t\t\t\t\t\tdefault:\n\t\t\t\t\t\t\tgoto flushed\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\tflushed:\n\t\t\t\t\tflushAll()\n\t\t\t\tcase req := <-rotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\t}\n\t\t\t}\n\t\t})\n\t}\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete. Each request is routed to the\n// shard that owns the host directory.\nfunc RotateWALFiles(hostDirs []string) {\n\tif walShardRotateChs == nil {\n\t\treturn\n\t}\n\tdones := make([]chan struct{}, len(hostDirs))\n\tfor i, dir := range hostDirs {\n\t\tdones[i] = make(chan struct{})\n\t\t// Extract cluster/node from hostDir to find the right shard.\n\t\t// hostDir = rootDir/cluster/node\n\t\tshard := walShardIndexFromDir(dir)\n\t\twalShardRotateChs[shard] <- walRotateReq{hostDir: dir, done: dones[i]}\n\t}\n\tfor _, done := range dones {\n\t\t<-done\n\t}\n}\n\n// walShardIndexFromDir extracts cluster and node from a host directory path\n// and returns the shard index. The path format is: rootDir/cluster/node\nfunc walShardIndexFromDir(hostDir string) int {\n\t// hostDir = .../cluster/node — extract last two path components\n\tnode := path.Base(hostDir)\n\tcluster := path.Base(path.Dir(hostDir))\n\treturn walShardIndex(cluster, node)\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFilesAfterShutdown(hostDirs []string) {\n\tfor _, dir := range hostDirs {\n\t\twalPath := path.Join(dir, \"current.wal\")\n\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t}\n\t}\n}\n\n// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\nfunc buildWALPayload(msg *WALMessage) []byte {\n\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n\tfor _, s := range msg.Selector {\n\t\tsize += 1 + len(s)\n\t}\n\n\tbuf := make([]byte, 0, size)\n\n\t// Timestamp (8 bytes, little-endian int64)\n\tvar ts [8]byte\n\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n\tbuf = append(buf, ts[:]...)\n\n\t// Metric name (2-byte length prefix + bytes)\n\tvar mLen [2]byte\n\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n\tbuf = append(buf, mLen[:]...)\n\tbuf = append(buf, msg.MetricName...)\n\n\t// Selector count (1 byte)\n\tbuf = append(buf, byte(len(msg.Selector)))\n\n\t// Selectors (1-byte length prefix + bytes each)\n\tfor _, sel := range msg.Selector {\n\t\tbuf = append(buf, byte(len(sel)))\n\t\tbuf = append(buf, sel...)\n\t}\n\n\t// Value (4 bytes, float32 bit representation)\n\tvar val [4]byte\n\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n\tbuf = append(buf, val[:]...)\n\n\treturn buf\n}\n\n// writeWALRecord appends a binary WAL record to the writer.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(w io.Writer, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := w.Write(record)\n\treturn err\n}\n\n// readWALRecord reads one WAL record from the reader.\n// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n// A CRC mismatch indicates a truncated trailing record (expected on crash).\nfunc readWALRecord(r io.Reader) (*WALMessage, error) {\n\tvar magic uint32\n\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil, nil // Clean EOF\n\t\t}\n\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n\t}\n\n\tif magic != walRecordMagic {\n\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n\t}\n\n\tvar payloadLen uint32\n\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n\t}\n\n\tif payloadLen > 1<<20 { // 1 MB sanity limit\n\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n\t}\n\n\tpayload := make([]byte, payloadLen)\n\tif _, err := io.ReadFull(r, payload); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n\t}\n\n\tvar storedCRC uint32\n\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n\t}\n\n\tif crc32.ChecksumIEEE(payload) != storedCRC {\n\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n\t}\n\n\treturn parseWALPayload(payload)\n}\n\n// parseWALPayload decodes a binary payload into a WALMessage.\nfunc parseWALPayload(payload []byte) (*WALMessage, error) {\n\tif len(payload) < 8+2+1+4 {\n\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n\t}\n\n\toffset := 0\n\n\t// Timestamp (8 bytes)\n\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n\toffset += 8\n\n\t// Metric name (2-byte length + bytes)\n\tif offset+2 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n\t}\n\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n\toffset += 2\n\n\tif offset+mLen > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n\t}\n\tmetricName := string(payload[offset : offset+mLen])\n\toffset += mLen\n\n\t// Selector count (1 byte)\n\tif offset >= len(payload) {\n\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n\t}\n\tselCount := int(payload[offset])\n\toffset++\n\n\tselectors := make([]string, selCount)\n\tfor i := range selCount {\n\t\tif offset >= len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n\t\t}\n\t\tsLen := int(payload[offset])\n\t\toffset++\n\n\t\tif offset+sLen > len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n\t\t}\n\t\tselectors[i] = string(payload[offset : offset+sLen])\n\t\toffset += sLen\n\t}\n\n\t// Value (4 bytes, float32 bits)\n\tif offset+4 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n\t}\n\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n\tvalue := schema.Float(math.Float32frombits(bits))\n\n\treturn &WALMessage{\n\t\tMetricName: metricName,\n\t\tTimestamp:  ts,\n\t\tSelector:   selectors,\n\t\tValue:      value,\n\t}, nil\n}\n\n// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n// l is the host-level node. Corrupt or partial trailing records are silently skipped\n// (expected on crash). Records older than 'from' are skipped.\nfunc (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\t// Verify file header magic.\n\tvar fileMagic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil // Empty file, no data\n\t\t}\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n\t}\n\n\tif fileMagic != walFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n\t}\n\n\t// Cache level lookups to avoid repeated tree traversal.\n\tlvlCache := make(map[string]*Level)\n\n\tfor {\n\t\tmsg, err := readWALRecord(br)\n\t\tif err != nil {\n\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n\t\t\tbreak\n\t\t}\n\t\tif msg == nil {\n\t\t\tbreak // Clean EOF\n\t\t}\n\n\t\tif msg.Timestamp < from {\n\t\t\tcontinue // Older than retention window\n\t\t}\n\n\t\tminfo, ok := m.Metrics[msg.MetricName]\n\t\tif !ok {\n\t\t\tcontinue // Unknown metric (config may have changed)\n\t\t}\n\n\t\t// Cache key is the null-separated selector path.\n\t\tcacheKey := joinSelector(msg.Selector)\n\t\tlvl, ok := lvlCache[cacheKey]\n\t\tif !ok {\n\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n\t\t\tlvlCache[cacheKey] = lvl\n\t\t}\n\n\t\t// Write directly to the buffer, same as WriteToLevel but without the\n\t\t// global level lookup (we already have the right level).\n\t\tlvl.lock.Lock()\n\t\tb := lvl.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n\t\t\tlvl.metrics[minfo.offset] = b\n\t\t}\n\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n\t\tif writeErr == nil && b != nb {\n\t\t\tlvl.metrics[minfo.offset] = nb\n\t\t}\n\t\t// Ignore write errors for timestamps before buffer start (can happen when\n\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n\t\tlvl.lock.Unlock()\n\t}\n\n\treturn nil\n}\n\n// joinSelector builds a cache key from a selector slice using null bytes as separators.\nfunc joinSelector(sel []string) string {\n\tif len(sel) == 0 {\n\t\treturn \"\"\n\t}\n\tvar result strings.Builder\n\tresult.WriteString(sel[0])\n\tfor i := 1; i < len(sel); i++ {\n\t\tresult.WriteString(\"\\x00\" + sel[i])\n\t}\n\treturn result.String()\n}\n\n// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n// Returns the number of files written, the list of host directories that were\n// successfully checkpointed (for WAL rotation), and any errors.\nfunc (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n\t// Collect all cluster/host pairs.\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel    *Level\n\t\thostDir  string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\tvar successDirs []string\n\tvar successMu sync.Mutex\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\n\tfor range Keys.NumWorkers {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor wi := range work {\n\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n\t\t\t\tif err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\tsuccessMu.Lock()\n\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n\t\t\t\t\tsuccessMu.Unlock()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := range levels {\n\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel:    levels[i],\n\t\t\thostDir:  hostDir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n\t}\n\treturn int(n), successDirs, nil\n}\n\n// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\nfunc (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n\t}\n\n\t// Write to a temp file first, then rename (atomic on POSIX).\n\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n\n\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n\t}\n\n\tbw := bufio.NewWriter(f)\n\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n\t}\n\tif err := bw.Flush(); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn err\n\t}\n\tf.Close()\n\n\treturn os.Rename(tmpPath, finalPath)\n}\n\n// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\nfunc writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n\t\treturn err\n\t}\n\treturn writeBinaryLevel(w, cf)\n}\n\n// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\nfunc writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, metric := range cf.Metrics {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tfor _, v := range metric.Data {\n\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, child := range cf.Children {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := writeBinaryLevel(w, child); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// writeString16 writes a 2-byte length-prefixed string to w.\nfunc writeString16(w io.Writer, s string) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n\t\treturn err\n\t}\n\t_, err := io.WriteString(w, s)\n\treturn err\n}\n\n// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n// The retention check (from) is applied to the file's 'to' timestamp.\nfunc (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\tvar magic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n\t}\n\tif magic != snapFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n\t}\n\n\tvar fileFrom, fileTo int64\n\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n\t}\n\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n\t}\n\n\tif fileTo != 0 && fileTo < from {\n\t\treturn nil // File is older than retention window, skip it\n\t}\n\n\tcf, err := readBinaryLevel(br)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n\t}\n\tcf.From = fileFrom\n\tcf.To = fileTo\n\n\treturn l.loadFile(cf, m)\n}\n\n// readBinaryLevel recursively reads a level from the binary snapshot format.\nfunc readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n\tcf := &CheckpointFile{\n\t\tMetrics:  make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tvar numMetrics uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n\t}\n\n\tfor range numMetrics {\n\t\tname, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n\t\t}\n\n\t\tvar freq, start int64\n\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n\t\t}\n\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n\t\t}\n\n\t\tvar numValues uint32\n\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n\t\t}\n\n\t\tdata := make([]schema.Float, numValues)\n\t\tfor i := range numValues {\n\t\t\tvar bits uint32\n\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n\t\t\t}\n\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n\t\t}\n\n\t\tcf.Metrics[name] = &CheckpointMetrics{\n\t\t\tFrequency: freq,\n\t\t\tStart:     start,\n\t\t\tData:      data,\n\t\t}\n\t}\n\n\tvar numChildren uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_children: %w\", err)\n\t}\n\n\tfor range numChildren {\n\t\tchildName, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child name: %w\", err)\n\t\t}\n\n\t\tchild, err := readBinaryLevel(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child %s: %w\", childName, err)\n\t\t}\n\t\tcf.Children[childName] = child\n\t}\n\n\treturn cf, nil\n}\n\n// readString16 reads a 2-byte length-prefixed string from r.\nfunc readString16(r io.Reader) (string, error) {\n\tvar sLen uint16\n\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {\n\t\treturn \"\", err\n\t}\n\tbuf := make([]byte, sLen)\n\tif _, err := io.ReadFull(r, buf); err != nil {\n\t\treturn \"\", err\n\t}\n\treturn string(buf), nil\n}\n","structuredPatch":[{"oldStart":338,"oldLines":6,"newStart":338,"newLines":81,"lines":["   }"," }"," ","+// writeWALRecordDirect encodes a WAL record directly into the bufio.Writer,","+// avoiding heap allocations by using a stack-allocated scratch buffer for","+// the fixed-size header/trailer and computing CRC inline.","+func writeWALRecordDirect(w *bufio.Writer, msg *WALMessage) error {","+  // Compute payload size.","+  payloadSize := 8 + 2 + len(msg.MetricName) + 1 + 4","+  for _, s := range msg.Selector {","+    payloadSize += 1 + len(s)","+  }","+","+  // Write magic + payload length (8 bytes header).","+  var hdr [8]byte","+  binary.LittleEndian.PutUint32(hdr[0:4], walRecordMagic)","+  binary.LittleEndian.PutUint32(hdr[4:8], uint32(payloadSize))","+  if _, err := w.Write(hdr[:]); err != nil {","+    return err","+  }","+","+  // We need to compute CRC over the payload as we write it.","+  crc := crc32.NewIEEE()","+","+  // Timestamp (8 bytes).","+  var scratch [8]byte","+  binary.LittleEndian.PutUint64(scratch[:8], uint64(msg.Timestamp))","+  crc.Write(scratch[:8])","+  if _, err := w.Write(scratch[:8]); err != nil {","+    return err","+  }","+","+  // Metric name length (2 bytes) + metric name.","+  binary.LittleEndian.PutUint16(scratch[:2], uint16(len(msg.MetricName)))","+  crc.Write(scratch[:2])","+  if _, err := w.Write(scratch[:2]); err != nil {","+    return err","+  }","+  nameBytes := []byte(msg.MetricName)","+  crc.Write(nameBytes)","+  if _, err := w.Write(nameBytes); err != nil {","+    return err","+  }","+","+  // Selector count (1 byte).","+  scratch[0] = byte(len(msg.Selector))","+  crc.Write(scratch[:1])","+  if _, err := w.Write(scratch[:1]); err != nil {","+    return err","+  }","+","+  // Selectors (1-byte length + bytes each).","+  for _, sel := range msg.Selector {","+    scratch[0] = byte(len(sel))","+    crc.Write(scratch[:1])","+    if _, err := w.Write(scratch[:1]); err != nil {","+      return err","+    }","+    selBytes := []byte(sel)","+    crc.Write(selBytes)","+    if _, err := w.Write(selBytes); err != nil {","+      return err","+    }","+  }","+","+  // Value (4 bytes, float32 bits).","+  binary.LittleEndian.PutUint32(scratch[:4], math.Float32bits(float32(msg.Value)))","+  crc.Write(scratch[:4])","+  if _, err := w.Write(scratch[:4]); err != nil {","+    return err","+  }","+","+  // CRC32 (4 bytes).","+  binary.LittleEndian.PutUint32(scratch[:4], crc.Sum32())","+  _, err := w.Write(scratch[:4])","+  return err","+}","+"," // buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC)."," func buildWALPayload(msg *WALMessage) []byte {","   size := 8 + 2 + len(msg.MetricName) + 1 + 4"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"3829bf65-3ef2-4147-997a-93067d16f856","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"f516e388-967e-426b-8ce5-d27bb7de30f8","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01MwDtX2EXWLeY2GyMf3bPBz","type":"message","role":"assistant","content":[{"type":"text","text":"Now update `lineprotocol.go` to use `SendWALMessage` instead of the old channel:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1133,"cache_read_input_tokens":54066,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1133},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ9zm2h9ACaUXjNCvZnA9","type":"assistant","uuid":"81698871-f318-433a-a9c1-73deaba8627d","timestamp":"2026-03-18T05:30:55.034Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"81698871-f318-433a-a9c1-73deaba8627d","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01MwDtX2EXWLeY2GyMf3bPBz","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DFf2yUQMVDgkrySkR8wNCm","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/lineprotocol.go","old_string":"\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\t\tmsg := &WALMessage{\n\t\t\t\tMetricName: string(st.metricBuf),\n\t\t\t\tCluster:    cluster,\n\t\t\t\tNode:       host,\n\t\t\t\tSelector:   append([]string{}, st.selector...),\n\t\t\t\tValue:      metric.Value,\n\t\t\t\tTimestamp:  time,\n\t\t\t}\n\t\t\tselect {\n\t\t\tcase WALMessages <- msg:\n\t\t\tdefault:\n\t\t\t\t// WAL channel full — metric is written to memory store but not WAL.\n\t\t\t\t// Next binary snapshot will capture it.\n\t\t\t\tif dropped := walDropped.Add(1); dropped%10000 == 1 {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> WAL channel full, dropped %d messages (data safe in memory, next snapshot will capture)\", dropped)\n\t\t\t\t}\n\t\t\t}\n\t\t}","new_string":"\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\t\tmsg := &WALMessage{\n\t\t\t\tMetricName: string(st.metricBuf),\n\t\t\t\tCluster:    cluster,\n\t\t\t\tNode:       host,\n\t\t\t\tSelector:   append([]string{}, st.selector...),\n\t\t\t\tValue:      metric.Value,\n\t\t\t\tTimestamp:  time,\n\t\t\t}\n\t\t\tif !SendWALMessage(msg) {\n\t\t\t\t// WAL shard channel full — metric is written to memory store but not WAL.\n\t\t\t\t// Next binary snapshot will capture it.\n\t\t\t\tif dropped := walDropped.Add(1); dropped%10000 == 1 {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> WAL shard channel full, dropped %d messages (data safe in memory, next snapshot will capture)\", dropped)\n\t\t\t\t}\n\t\t\t}\n\t\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1133,"cache_read_input_tokens":54066,"output_tokens":577,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1133,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ9zm2h9ACaUXjNCvZnA9","type":"assistant","uuid":"72101529-3598-4ee8-81de-3e5f77a78e1e","timestamp":"2026-03-18T05:31:02.152Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"type":"file-history-snapshot","messageId":"72101529-3598-4ee8-81de-3e5f77a78e1e","snapshot":{"messageId":"e61b6d31-15d1-4b25-a4d5-dc4c0ddd1260","trackedFileBackups":{"pkg/metricstore/walCheckpoint.go":{"backupFileName":"f5b5b4bac0274f50@v1","version":1,"backupTime":"2026-03-18T05:29:45.041Z"},"pkg/metricstore/lineprotocol.go":{"backupFileName":"90dc6599471442f6@v1","version":1,"backupTime":"2026-03-18T05:31:02.178Z"}},"timestamp":"2026-03-18T05:29:19.393Z"},"isSnapshotUpdate":true}
+{"parentUuid":"72101529-3598-4ee8-81de-3e5f77a78e1e","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01DFf2yUQMVDgkrySkR8wNCm","toolUseID":"toolu_01DFf2yUQMVDgkrySkR8wNCm","timestamp":"2026-03-18T05:31:02.181Z","uuid":"7e92b110-1875-4ed6-917e-92bc0832febe","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"72101529-3598-4ee8-81de-3e5f77a78e1e","isSidechain":false,"promptId":"53f7aeff-f280-4fa6-a195-55ff40087d7e","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DFf2yUQMVDgkrySkR8wNCm","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/lineprotocol.go has been updated successfully."}]},"uuid":"69e6c8e8-7232-4b5e-8bdc-1ac294f4b8b0","timestamp":"2026-03-18T05:31:02.181Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/lineprotocol.go","oldString":"\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\t\tmsg := &WALMessage{\n\t\t\t\tMetricName: string(st.metricBuf),\n\t\t\t\tCluster:    cluster,\n\t\t\t\tNode:       host,\n\t\t\t\tSelector:   append([]string{}, st.selector...),\n\t\t\t\tValue:      metric.Value,\n\t\t\t\tTimestamp:  time,\n\t\t\t}\n\t\t\tselect {\n\t\t\tcase WALMessages <- msg:\n\t\t\tdefault:\n\t\t\t\t// WAL channel full — metric is written to memory store but not WAL.\n\t\t\t\t// Next binary snapshot will capture it.\n\t\t\t\tif dropped := walDropped.Add(1); dropped%10000 == 1 {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> WAL channel full, dropped %d messages (data safe in memory, next snapshot will capture)\", dropped)\n\t\t\t\t}\n\t\t\t}\n\t\t}","newString":"\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\t\tmsg := &WALMessage{\n\t\t\t\tMetricName: string(st.metricBuf),\n\t\t\t\tCluster:    cluster,\n\t\t\t\tNode:       host,\n\t\t\t\tSelector:   append([]string{}, st.selector...),\n\t\t\t\tValue:      metric.Value,\n\t\t\t\tTimestamp:  time,\n\t\t\t}\n\t\t\tif !SendWALMessage(msg) {\n\t\t\t\t// WAL shard channel full — metric is written to memory store but not WAL.\n\t\t\t\t// Next binary snapshot will capture it.\n\t\t\t\tif dropped := walDropped.Add(1); dropped%10000 == 1 {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> WAL shard channel full, dropped %d messages (data safe in memory, next snapshot will capture)\", dropped)\n\t\t\t\t}\n\t\t\t}\n\t\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file implements ingestion of InfluxDB line-protocol metric data received\n// over NATS. Each line encodes one metric sample with the following structure:\n//\n//\t<measurement>[,cluster=<c>][,hostname=<h>][,type=<t>][,type-id=<id>][,subtype=<s>][,stype-id=<id>] value=<v> [<timestamp>]\n//\n// The measurement name identifies the metric (e.g. \"cpu_load\"). Tags provide\n// routing information (cluster, host) and optional sub-device selectors (type,\n// subtype). Only one field is expected per line: \"value\".\n//\n// After decoding, each sample is:\n//  1. Written to the in-memory store via ms.WriteToLevel.\n//  2. If the checkpoint format is \"wal\", also forwarded to the WAL staging\n//     goroutine via the WALMessages channel for durable write-ahead logging.\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\t\"sync/atomic\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// ReceiveNats subscribes to all configured NATS subjects and feeds incoming\n// line-protocol messages into the MemoryStore.\n//\n// When workers > 1 a pool of goroutines drains a shared channel so that\n// multiple messages can be decoded in parallel. With workers == 1 the NATS\n// callback decodes inline (no channel overhead, lower latency).\n//\n// The function blocks until ctx is cancelled and all worker goroutines have\n// finished. It returns nil when the NATS client is not configured; callers\n// should treat that as a no-op rather than an error.\nfunc ReceiveNats(ms *MemoryStore,\n\tworkers int,\n\tctx context.Context,\n) error {\n\tnc := nats.GetClient()\n\n\tif nc == nil {\n\t\tcclog.Warn(\"NATS client not initialized\")\n\t\treturn nil\n\t}\n\n\tvar wg sync.WaitGroup\n\tmsgs := make(chan []byte, max(workers*256, 8192))\n\n\tfor _, sc := range *Keys.Subscriptions {\n\t\tclusterTag := sc.ClusterTag\n\t\tif workers > 1 {\n\t\t\twg.Add(workers)\n\n\t\t\tfor range workers {\n\t\t\t\tgo func() {\n\t\t\t\t\tdefer wg.Done()\n\t\t\t\t\tfor m := range msgs {\n\t\t\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(m)\n\t\t\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}()\n\t\t\t}\n\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tselect {\n\t\t\t\tcase msgs <- data:\n\t\t\t\tcase <-ctx.Done():\n\t\t\t\t}\n\t\t\t})\n\t\t} else {\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(data)\n\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\t\tcclog.Infof(\"NATS subscription to '%s' established\", sc.SubscribeTo)\n\t}\n\n\tgo func() {\n\t\t<-ctx.Done()\n\t\tclose(msgs)\n\t}()\n\n\twg.Wait()\n\n\treturn nil\n}\n\n// reorder prepends prefix to buf in-place when buf has enough spare capacity,\n// avoiding an allocation. Falls back to a regular append otherwise.\n//\n// It is used to assemble the \"type<type-id>\" and \"subtype<stype-id>\" selector\n// strings when the type tag arrives before the type-id tag in the line, so the\n// two byte slices need to be concatenated in tag-declaration order regardless\n// of wire order.\nfunc reorder(buf, prefix []byte) []byte {\n\tn := len(prefix)\n\tm := len(buf)\n\tif cap(buf) < m+n {\n\t\treturn append(prefix[:n:n], buf...)\n\t} else {\n\t\tbuf = buf[:n+m]\n\t\tfor i := m - 1; i >= 0; i-- {\n\t\t\tbuf[i+n] = buf[i]\n\t\t}\n\t\tfor i := range n {\n\t\t\tbuf[i] = prefix[i]\n\t\t}\n\t\treturn buf\n\t}\n}\n\n// walDropped counts WAL messages dropped due to a full channel.\n// Logged periodically; not critical since binary snapshots capture the data.\nvar walDropped atomic.Int64\n\n// decodeState holds the per-call scratch buffers used by DecodeLine.\n// Instances are recycled via decodeStatePool to avoid repeated allocations\n// during high-throughput ingestion.\ntype decodeState struct {\n\t// metricBuf holds a copy of the current measurement name (line-protocol\n\t// measurement field). Copied because dec.Measurement() returns a slice\n\t// that is invalidated by the next decoder call.\n\tmetricBuf []byte\n\n\t// selector is the sub-device path passed to WriteToLevel and WALMessage\n\t// (e.g. [\"socket0\"] or [\"socket0\", \"memctrl1\"]). Reused across lines.\n\tselector []string\n\n\t// typeBuf accumulates the concatenated \"type\"+\"type-id\" tag value for the\n\t// current line. Reset at the start of each line's tag-decode loop.\n\ttypeBuf []byte\n\n\t// subTypeBuf accumulates the concatenated \"subtype\"+\"stype-id\" tag value.\n\t// Reset at the start of each line's tag-decode loop.\n\tsubTypeBuf []byte\n\n\t// prevTypeBytes / prevTypeStr cache the last seen typeBuf content and its\n\t// string conversion. Because consecutive lines in a batch typically address\n\t// the same sub-device, the cache hit rate is very high and avoids\n\t// repeated []byte→string allocations.\n\tprevTypeBytes []byte\n\tprevTypeStr   string\n\n\t// prevSubTypeBytes / prevSubTypeStr are the same cache for the subtype.\n\tprevSubTypeBytes []byte\n\tprevSubTypeStr   string\n}\n\n// decodeStatePool recycles decodeState values across DecodeLine calls to\n// reduce GC pressure during sustained metric ingestion.\nvar decodeStatePool = sync.Pool{\n\tNew: func() any {\n\t\treturn &decodeState{\n\t\t\tmetricBuf:  make([]byte, 0, 16),\n\t\t\tselector:   make([]string, 0, 4),\n\t\t\ttypeBuf:    make([]byte, 0, 16),\n\t\t\tsubTypeBuf: make([]byte, 0, 16),\n\t\t}\n\t},\n}\n\n// DecodeLine reads all lines from dec (InfluxDB line-protocol) and writes each\n// decoded metric sample into ms.\n//\n// clusterDefault is used as the cluster name for lines that do not carry a\n// \"cluster\" tag. Callers typically supply the ClusterTag value from the NATS\n// subscription configuration.\n//\n// Performance notes:\n//   - A decodeState is obtained from decodeStatePool to reuse scratch buffers.\n//   - The Level pointer (host-level node in the metric tree) is cached across\n//     consecutive lines that share the same cluster+host pair to avoid\n//     repeated lock acquisitions on the root and cluster levels.\n//   - []byte→string conversions for type/subtype selectors are cached via\n//     prevType*/prevSubType* fields because batches typically repeat the same\n//     sub-device identifiers.\n//   - Timestamp parsing tries Second precision first; if that fails it retries\n//     Millisecond, Microsecond, and Nanosecond in turn. A missing timestamp\n//     falls back to time.Now().\n//\n// When the checkpoint format is \"wal\" each successfully decoded sample is also\n// sent to WALMessages so the WAL staging goroutine can persist it durably\n// before the next binary snapshot.\nfunc DecodeLine(dec *lineprotocol.Decoder,\n\tms *MemoryStore,\n\tclusterDefault string,\n) error {\n\t// Reduce allocations in loop:\n\tt := time.Now()\n\tmetric := Metric{}\n\tst := decodeStatePool.Get().(*decodeState)\n\tdefer decodeStatePool.Put(st)\n\n\t// Optimize for the case where all lines in a \"batch\" are about the same\n\t// cluster and host. By using `WriteToLevel` (level = host), we do not need\n\t// to take the root- and cluster-level lock as often.\n\tvar lvl *Level = nil\n\tprevCluster, prevHost := \"\", \"\"\n\n\tvar ok bool\n\tfor dec.Next() {\n\t\trawmeasurement, err := dec.Measurement()\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\t// Needs to be copied because another call to dec.* would\n\t\t// invalidate the returned slice.\n\t\tst.metricBuf = append(st.metricBuf[:0], rawmeasurement...)\n\n\t\t// The go compiler optimizes map[string(byteslice)] lookups:\n\t\tmetric.MetricConfig, ok = ms.Metrics[string(rawmeasurement)]\n\t\tif !ok {\n\t\t\tcontinue\n\t\t}\n\n\t\tst.typeBuf, st.subTypeBuf = st.typeBuf[:0], st.subTypeBuf[:0]\n\t\tcluster, host := clusterDefault, \"\"\n\t\tfor {\n\t\t\tkey, val, err := dec.NextTag()\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tif key == nil {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\t// The go compiler optimizes string([]byte{...}) == \"...\":\n\t\t\tswitch string(key) {\n\t\t\tcase \"cluster\":\n\t\t\t\tif string(val) == prevCluster {\n\t\t\t\t\tcluster = prevCluster\n\t\t\t\t} else {\n\t\t\t\t\tcluster = string(val)\n\t\t\t\t\tlvl = nil\n\t\t\t\t}\n\t\t\tcase \"hostname\", \"host\":\n\t\t\t\tif string(val) == prevHost {\n\t\t\t\t\thost = prevHost\n\t\t\t\t} else {\n\t\t\t\t\thost = string(val)\n\t\t\t\t\tlvl = nil\n\t\t\t\t}\n\t\t\tcase \"type\":\n\t\t\t\tif string(val) == \"node\" {\n\t\t\t\t\tbreak\n\t\t\t\t}\n\n\t\t\t\t// We cannot be sure that the \"type\" tag comes before the \"type-id\" tag:\n\t\t\t\tif len(st.typeBuf) == 0 {\n\t\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n\t\t\t\t} else {\n\t\t\t\t\tst.typeBuf = reorder(st.typeBuf, val)\n\t\t\t\t}\n\t\t\tcase \"type-id\":\n\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n\t\t\tcase \"subtype\":\n\t\t\t\t// We cannot be sure that the \"subtype\" tag comes before the \"stype-id\" tag:\n\t\t\t\tif len(st.subTypeBuf) == 0 {\n\t\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n\t\t\t\t} else {\n\t\t\t\t\tst.subTypeBuf = reorder(st.subTypeBuf, val)\n\t\t\t\t}\n\t\t\tcase \"stype-id\":\n\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n\t\t\tdefault:\n\t\t\t}\n\t\t}\n\n\t\t// If the cluster or host changed, the lvl was set to nil\n\t\tif lvl == nil {\n\t\t\tst.selector = st.selector[:2]\n\t\t\tst.selector[0], st.selector[1] = cluster, host\n\t\t\tlvl = ms.GetLevel(st.selector)\n\t\t\tprevCluster, prevHost = cluster, host\n\t\t}\n\n\t\t// subtypes: cache []byte→string conversions; messages in a batch typically\n\t\t// share the same type/subtype so the hit rate is very high.\n\t\tst.selector = st.selector[:0]\n\t\tif len(st.typeBuf) > 0 {\n\t\t\tif !bytes.Equal(st.typeBuf, st.prevTypeBytes) {\n\t\t\t\tst.prevTypeBytes = append(st.prevTypeBytes[:0], st.typeBuf...)\n\t\t\t\tst.prevTypeStr = string(st.typeBuf)\n\t\t\t}\n\t\t\tst.selector = append(st.selector, st.prevTypeStr)\n\t\t\tif len(st.subTypeBuf) > 0 {\n\t\t\t\tif !bytes.Equal(st.subTypeBuf, st.prevSubTypeBytes) {\n\t\t\t\t\tst.prevSubTypeBytes = append(st.prevSubTypeBytes[:0], st.subTypeBuf...)\n\t\t\t\t\tst.prevSubTypeStr = string(st.subTypeBuf)\n\t\t\t\t}\n\t\t\t\tst.selector = append(st.selector, st.prevSubTypeStr)\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tkey, val, err := dec.NextField()\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tif key == nil {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\tif string(key) != \"value\" {\n\t\t\t\treturn fmt.Errorf(\"host %s: unknown field: '%s' (value: %#v)\", host, string(key), val)\n\t\t\t}\n\n\t\t\tif val.Kind() == lineprotocol.Float {\n\t\t\t\tmetric.Value = schema.Float(val.FloatV())\n\t\t\t} else if val.Kind() == lineprotocol.Int {\n\t\t\t\tmetric.Value = schema.Float(val.IntV())\n\t\t\t} else if val.Kind() == lineprotocol.Uint {\n\t\t\t\tmetric.Value = schema.Float(val.UintV())\n\t\t\t} else {\n\t\t\t\treturn fmt.Errorf(\"host %s: unsupported value type in message: %s\", host, val.Kind().String())\n\t\t\t}\n\t\t}\n\n\t\tif t, err = dec.Time(lineprotocol.Second, t); err != nil {\n\t\t\tt = time.Now()\n\t\t\tif t, err = dec.Time(lineprotocol.Millisecond, t); err != nil {\n\t\t\t\tt = time.Now()\n\t\t\t\tif t, err = dec.Time(lineprotocol.Microsecond, t); err != nil {\n\t\t\t\t\tt = time.Now()\n\t\t\t\t\tif t, err = dec.Time(lineprotocol.Nanosecond, t); err != nil {\n\t\t\t\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n\t\t}\n\n\t\ttime := t.Unix()\n\n\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\t\tmsg := &WALMessage{\n\t\t\t\tMetricName: string(st.metricBuf),\n\t\t\t\tCluster:    cluster,\n\t\t\t\tNode:       host,\n\t\t\t\tSelector:   append([]string{}, st.selector...),\n\t\t\t\tValue:      metric.Value,\n\t\t\t\tTimestamp:  time,\n\t\t\t}\n\t\t\tselect {\n\t\t\tcase WALMessages <- msg:\n\t\t\tdefault:\n\t\t\t\t// WAL channel full — metric is written to memory store but not WAL.\n\t\t\t\t// Next binary snapshot will capture it.\n\t\t\t\tif dropped := walDropped.Add(1); dropped%10000 == 1 {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> WAL channel full, dropped %d messages (data safe in memory, next snapshot will capture)\", dropped)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n\t\t\tcclog.Warnf(\"write error for host %s metric %s at ts %d: %s\", host, string(st.metricBuf), time, err.Error())\n\t\t\tcontinue\n\t\t}\n\t}\n\treturn nil\n}\n","structuredPatch":[{"oldStart":361,"oldLines":13,"newStart":361,"newLines":11,"lines":["         Value:      metric.Value,","         Timestamp:  time,","       }","-      select {","-      case WALMessages <- msg:","-      default:","-        // WAL channel full — metric is written to memory store but not WAL.","+      if !SendWALMessage(msg) {","+        // WAL shard channel full — metric is written to memory store but not WAL.","         // Next binary snapshot will capture it.","         if dropped := walDropped.Add(1); dropped%10000 == 1 {","-          cclog.Warnf(\"[METRICSTORE]> WAL channel full, dropped %d messages (data safe in memory, next snapshot will capture)\", dropped)","+          cclog.Warnf(\"[METRICSTORE]> WAL shard channel full, dropped %d messages (data safe in memory, next snapshot will capture)\", dropped)","         }","       }","     }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"72101529-3598-4ee8-81de-3e5f77a78e1e","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"69e6c8e8-7232-4b5e-8bdc-1ac294f4b8b0","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0122MLmJz5tkKNim7d6KYZQH","type":"message","role":"assistant","content":[{"type":"text","text":"Now update `Shutdown` in `metricstore.go` to close all shard channels:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":625,"cache_read_input_tokens":55199,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":625},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ9zmsfCJwR6BxpUYNn4p","type":"assistant","uuid":"7ab452d8-ff08-4279-8409-ec7baa91a7e0","timestamp":"2026-03-18T05:31:04.230Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"type":"file-history-snapshot","messageId":"017c0be7-76a0-498d-9354-21ea8abfce53","snapshot":{"messageId":"e61b6d31-15d1-4b25-a4d5-dc4c0ddd1260","trackedFileBackups":{"pkg/metricstore/walCheckpoint.go":{"backupFileName":"f5b5b4bac0274f50@v1","version":1,"backupTime":"2026-03-18T05:29:45.041Z"},"pkg/metricstore/lineprotocol.go":{"backupFileName":"90dc6599471442f6@v1","version":1,"backupTime":"2026-03-18T05:31:02.178Z"},"pkg/metricstore/metricstore.go":{"backupFileName":"9d6c8b589b687438@v1","version":1,"backupTime":"2026-03-18T05:31:05.554Z"}},"timestamp":"2026-03-18T05:29:19.393Z"},"isSnapshotUpdate":true}
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+{"parentUuid":"017c0be7-76a0-498d-9354-21ea8abfce53","isSidechain":false,"promptId":"53f7aeff-f280-4fa6-a195-55ff40087d7e","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EodQprLiM3RCyDobMT3d1u","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go has been updated successfully."}]},"uuid":"59ac1522-b87a-45f0-87b8-93fb72fd6a78","timestamp":"2026-03-18T05:31:05.557Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go","oldString":"\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tclose(WALMessages)\n\t}","newString":"\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tfor _, ch := range walShardChs {\n\t\t\tclose(ch)\n\t\t}\n\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides an efficient in-memory time-series metric storage system\n// with support for hierarchical data organization, checkpointing, and archiving.\n//\n// The package organizes metrics in a tree structure (cluster → host → component) and\n// provides concurrent read/write access to metric data with configurable aggregation strategies.\n// Background goroutines handle periodic checkpointing (JSON or Avro format), archiving old data,\n// and enforcing retention policies.\n//\n// Key features:\n//   - In-memory metric storage with configurable retention\n//   - Hierarchical data organization (selectors)\n//   - Concurrent checkpoint/archive workers\n//   - Support for sum and average aggregation\n//   - NATS integration for metric ingestion\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"runtime\"\n\t\"runtime/debug\"\n\t\"slices\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// GlobalState holds the global state for the metric store with thread-safe access.\ntype GlobalState struct {\n\tmu                sync.RWMutex\n\tlastRetentionTime int64\n\tselectorsExcluded bool\n}\n\nvar (\n\tsingleton  sync.Once\n\tmsInstance *MemoryStore\n\t// shutdownFunc stores the context cancellation function created in Init\n\t// and is called during Shutdown to cancel all background goroutines\n\tshutdownFunc   context.CancelFunc\n\tshutdownFuncMu sync.Mutex // Protects shutdownFunc from concurrent access\n\t// Create a global instance\n\tstate = &GlobalState{}\n)\n\n// NodeProvider provides information about nodes currently in use by running jobs.\n//\n// This interface allows metricstore to query job information without directly\n// depending on the repository package, breaking the import cycle.\n//\n// Implementations should return nodes that are actively processing jobs started\n// before the given timestamp. These nodes will be excluded from retention-based\n// garbage collection to prevent data loss for jobs that are still running or\n// recently completed.\ntype NodeProvider interface {\n\t// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n\t// that are currently in use by jobs that started before the given timestamp.\n\t//\n\t// Parameters:\n\t//   - ts: Unix timestamp threshold - returns nodes with jobs started before this time\n\t//\n\t// Returns:\n\t//   - Map of cluster names to lists of node hostnames that should be excluded from garbage collection\n\t//   - Error if the query fails\n\tGetUsedNodes(ts int64) (map[string][]string, error)\n}\n\n// Metric represents a single metric data point to be written to the store.\ntype Metric struct {\n\tName  string\n\tValue schema.Float\n\t// MetricConfig contains frequency and aggregation settings for this metric.\n\t// If Frequency is 0, configuration will be looked up from MemoryStore.Metrics during Write().\n\tMetricConfig MetricConfig\n}\n\n// MemoryStore is the main in-memory time-series metric storage implementation.\n//\n// It organizes metrics in a hierarchical tree structure where each level represents\n// a component of the system hierarchy (e.g., cluster → host → CPU). Each level can\n// store multiple metrics as time-series buffers.\n//\n// The store is initialized as a singleton via InitMetrics() and accessed via GetMemoryStore().\n// All public methods are safe for concurrent use.\ntype MemoryStore struct {\n\tMetrics      map[string]MetricConfig\n\troot         Level\n\tnodeProvider NodeProvider\n}\n\n// Init initializes the metric store from configuration and starts background workers.\n//\n// This function must be called exactly once before any other metricstore operations.\n// It performs the following initialization steps:\n//  1. Validates and decodes the metric store configuration\n//  2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n//  3. Loads metric configurations from all registered clusters\n//  4. Restores checkpoints within the retention window\n//  5. Starts background workers for retention, checkpointing, archiving, and monitoring\n//  6. Optionally subscribes to NATS for real-time metric ingestion\n//\n// Parameters:\n//   - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n//   - wg: WaitGroup that will be incremented for each background goroutine started\n//\n// The function will call cclog.Fatal on critical errors during initialization.\n// Use Shutdown() to cleanly stop all background workers started by Init().\n//\n// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n// receiving termination signals to ensure checkpoint data is persisted.\nfunc Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n\tstartupTime := time.Now()\n\n\tif rawConfig != nil {\n\t\tconfig.Validate(configSchema, rawConfig)\n\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n\t\tdec.DisallowUnknownFields()\n\t\tif err := dec.Decode(&Keys); err != nil {\n\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n\t\t}\n\t}\n\n\t// Set NumWorkers from config or use default\n\tif Keys.NumWorkers <= 0 {\n\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n\t}\n\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n\n\t// Pass the config.MetricStoreKeys\n\tInitMetrics(metrics)\n\n\tms := GetMemoryStore()\n\n\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\tif err != nil {\n\t\tcclog.Fatal(err)\n\t}\n\n\trestoreFrom := startupTime.Add(-d)\n\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n\tif err != nil {\n\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n\t} else {\n\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n\t}\n\n\t// Try to use less memory by forcing a GC run here and then\n\t// lowering the target percentage. The default of 100 means\n\t// that only once the ratio of new allocations execeds the\n\t// previously active heap, a GC is triggered.\n\t// Forcing a GC here will set the \"previously active heap\"\n\t// to a minumum.\n\t// runtime.GC()\n\n\tctx, shutdown := context.WithCancel(context.Background())\n\n\tRetention(wg, ctx)\n\tCheckpointing(wg, ctx)\n\tCleanUp(wg, ctx)\n\tWALStaging(wg, ctx)\n\tMemoryUsageTracker(wg, ctx)\n\n\t// Note: Signal handling has been removed from this function.\n\t// The caller is responsible for handling shutdown signals and calling\n\t// the shutdown() function when appropriate.\n\t// Store the shutdown function for later use by Shutdown()\n\tshutdownFuncMu.Lock()\n\tshutdownFunc = shutdown\n\tshutdownFuncMu.Unlock()\n\n\tif Keys.Subscriptions != nil {\n\t\terr = ReceiveNats(ms, Keys.NumWorkers, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t}\n}\n\n// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n//\n// This function must be called before GetMemoryStore() and can only be called once due to\n// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n//\n// Parameters:\n//   - metrics: Map of metric names to their configurations (frequency and aggregation strategy)\n//\n// Panics if any metric has Frequency == 0, which indicates an invalid configuration.\n//\n// After this call, the global msInstance is ready for use via GetMemoryStore().\nfunc InitMetrics(metrics map[string]MetricConfig) {\n\tsingleton.Do(func() {\n\t\toffset := 0\n\t\tfor key, cfg := range metrics {\n\t\t\tif cfg.Frequency == 0 {\n\t\t\t\tpanic(\"[METRICSTORE]> invalid frequency\")\n\t\t\t}\n\n\t\t\tmetrics[key] = MetricConfig{\n\t\t\t\tFrequency:   cfg.Frequency,\n\t\t\t\tAggregation: cfg.Aggregation,\n\t\t\t\toffset:      offset,\n\t\t\t}\n\t\t\toffset += 1\n\t\t}\n\n\t\tmsInstance = &MemoryStore{\n\t\t\troot: Level{\n\t\t\t\tmetrics:  make([]*buffer, len(metrics)),\n\t\t\t\tchildren: make(map[string]*Level),\n\t\t\t},\n\t\t\tMetrics: metrics,\n\t\t}\n\t})\n}\n\n// GetMemoryStore returns the singleton MemoryStore instance.\n//\n// Returns the initialized MemoryStore singleton. Calls cclog.Fatal if InitMetrics() was not called first.\n//\n// This function is safe for concurrent use after initialization.\nfunc GetMemoryStore() *MemoryStore {\n\tif msInstance == nil {\n\t\tcclog.Warnf(\"[METRICSTORE]> MemoryStore not initialized!\")\n\t}\n\n\treturn msInstance\n}\n\nfunc (ms *MemoryStore) GetMetricFrequency(metricName string) (int64, error) {\n\tif metric, ok := ms.Metrics[metricName]; ok {\n\t\treturn metric.Frequency, nil\n\t}\n\treturn 0, fmt.Errorf(\"[METRICSTORE]> metric %s not found\", metricName)\n}\n\n// SetNodeProvider sets the NodeProvider implementation for the MemoryStore.\n// This must be called during initialization to provide job state information\n// for selective buffer retention during Free operations.\n// If not set, the Free function will fall back to freeing all buffers.\nfunc (ms *MemoryStore) SetNodeProvider(provider NodeProvider) {\n\tms.nodeProvider = provider\n}\n\n// Shutdown performs a graceful shutdown of the metric store.\n//\n// This function cancels all background goroutines started by Init() and writes\n// a final checkpoint to disk before returning. It should be called when the\n// application receives a termination signal.\n//\n// The function will:\n//  1. Cancel the context to stop all background workers\n//  2. Close the WAL messages channel if using WAL format\n//  3. Write a final checkpoint to preserve in-memory data\n//  4. Log any errors encountered during shutdown\n//\n// Note: This function blocks until the final checkpoint is written.\nfunc Shutdown() {\n\tshutdownFuncMu.Lock()\n\tdefer shutdownFuncMu.Unlock()\n\tif shutdownFunc != nil {\n\t\tshutdownFunc()\n\t}\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tclose(WALMessages)\n\t}\n\n\tcclog.Infof(\"[METRICSTORE]> Writing to '%s'...\\n\", Keys.Checkpoints.RootDir)\n\tvar files int\n\tvar err error\n\n\tms := GetMemoryStore()\n\n\tlastCheckpointMu.Lock()\n\tfrom := lastCheckpoint\n\tlastCheckpointMu.Unlock()\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tvar hostDirs []string\n\t\tfiles, hostDirs, err = ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t\tif err == nil {\n\t\t\tRotateWALFilesAfterShutdown(hostDirs)\n\t\t}\n\t} else {\n\t\tfiles, err = ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t}\n\n\tif err != nil {\n\t\tcclog.Errorf(\"[METRICSTORE]> Writing checkpoint failed: %s\\n\", err.Error())\n\t}\n\tcclog.Infof(\"[METRICSTORE]> Done! (%d files written)\\n\", files)\n}\n\n// Retention starts a background goroutine that periodically frees old metric data.\n//\n// This worker runs at half the retention interval and calls Free() to remove buffers\n// older than the configured retention time. It respects the NodeProvider to preserve\n// data for nodes with active jobs.\n//\n// Parameters:\n//   - wg: WaitGroup to signal completion when context is cancelled\n//   - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc Retention(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\ttickInterval := d / 2\n\t\tif tickInterval <= 0 {\n\t\t\treturn\n\t\t}\n\t\tticker := time.NewTicker(tickInterval)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tstate.mu.Lock()\n\n\t\t\t\tt := time.Now().Add(-d)\n\n\t\t\t\tstate.lastRetentionTime = t.Unix()\n\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start freeing buffers (older than %s)...\\n\", t.Format(time.RFC3339))\n\n\t\t\t\tfreed, err := Free(ms, t)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> freeing up buffers failed: %s\\n\", err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d buffers freed\\n\", freed)\n\t\t\t\t}\n\n\t\t\t\tstate.mu.Unlock()\n\n\t\t\t\t// Clean up the buffer pool\n\t\t\t\tbufferPool.Clean(state.lastRetentionTime)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// MemoryUsageTracker starts a background goroutine that monitors memory usage.\n//\n// This worker checks actual process memory usage (via runtime.MemStats) periodically\n// and force-frees buffers if memory exceeds the configured cap. It uses FreeOSMemory()\n// to return memory to the OS after freeing buffers, avoiding aggressive GC that causes\n// performance issues.\n//\n// The tracker logs both actual memory usage (heap allocated) and metric data size for\n// visibility into memory overhead from Go runtime structures and allocations.\n//\n// Parameters:\n//   - wg: WaitGroup to signal completion when context is cancelled\n//   - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n\t\tfastInterval := 30 * time.Second\n\n\t\tif normalInterval <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(normalInterval)\n\t\tdefer ticker.Stop()\n\t\tcurrentInterval := normalInterval\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tvar mem runtime.MemStats\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n\t\t\t\tmetricDataGB := ms.SizeInGB()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n\n\t\t\t\tfreedExcluded := 0\n\t\t\t\tfreedEmergency := 0\n\t\t\t\tvar err error\n\n\t\t\t\tstate.mu.RLock()\n\t\t\t\tlastRetention := state.lastRetentionTime\n\t\t\t\tselectorsExcluded := state.selectorsExcluded\n\t\t\t\tstate.mu.RUnlock()\n\n\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n\t\t\t\t\t}\n\n\t\t\t\t\tif freedExcluded > 0 {\n\t\t\t\t\t\tdebug.FreeOSMemory()\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n\n\t\t\t\t\t// Use progressive time-based Free with increasing threshold\n\t\t\t\t\t// instead of ForceFree loop — fewer tree traversals, more effective\n\t\t\t\t\td, parseErr := time.ParseDuration(Keys.RetentionInMemory)\n\t\t\t\t\tif parseErr != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> cannot parse retention duration: %s\", parseErr)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tthresholds := []float64{0.75, 0.5, 0.25}\n\t\t\t\t\t\tfor _, fraction := range thresholds {\n\t\t\t\t\t\t\tthreshold := time.Now().Add(-time.Duration(float64(d) * fraction))\n\t\t\t\t\t\t\tfreed, freeErr := ms.Free(nil, threshold.Unix())\n\t\t\t\t\t\t\tif freeErr != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s\", fraction*100, freeErr)\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tfreedEmergency += freed\n\n\t\t\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\t\t\truntime.GC()\n\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n\t\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\tdebug.FreeOSMemory()\n\n\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after emergency frees (%d buffers), memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\t// Adaptive ticker: check more frequently when memory is high\n\t\t\t\tmemoryRatio := actualMemoryGB / float64(Keys.MemoryCap)\n\t\t\t\tif memoryRatio > 0.8 && currentInterval != fastInterval {\n\t\t\t\t\tticker.Reset(fastInterval)\n\t\t\t\t\tcurrentInterval = fastInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)\", memoryRatio*100)\n\t\t\t\t} else if memoryRatio <= 0.8 && currentInterval != normalInterval {\n\t\t\t\t\tticker.Reset(normalInterval)\n\t\t\t\t\tcurrentInterval = normalInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval\", memoryRatio*100)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\n// Free removes metric data older than the given time while preserving data for active nodes.\n//\n// This function implements intelligent retention by consulting the NodeProvider (if configured)\n// to determine which nodes are currently in use by running jobs. Data for these nodes is\n// preserved even if older than the retention time.\n//\n// Parameters:\n//   - ms: The MemoryStore instance\n//   - t: Time threshold - buffers with data older than this will be freed\n//\n// Returns:\n//   - Number of buffers freed\n//   - Error if NodeProvider query fails\n//\n// Behavior:\n//   - If no NodeProvider is set: frees all buffers older than t\n//   - If NodeProvider returns empty map: frees all buffers older than t\n//   - Otherwise: preserves buffers for nodes returned by GetUsedNodes(), frees others\nfunc Free(ms *MemoryStore, t time.Time) (int, error) {\n\t// If no NodeProvider is configured, free all buffers older than t\n\tif ms.nodeProvider == nil {\n\t\treturn ms.Free(nil, t.Unix())\n\t}\n\n\texcludeSelectors, err := ms.nodeProvider.GetUsedNodes(t.Unix())\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\tswitch lenMap := len(excludeSelectors); lenMap {\n\n\t// If the length of the map returned by GetUsedNodes() is 0,\n\t// then use default Free method with nil selector\n\tcase 0:\n\t\tstate.selectorsExcluded = false\n\t\treturn ms.Free(nil, t.Unix())\n\n\t// Else formulate selectors, exclude those from the map\n\t// and free the rest of the selectors\n\tdefault:\n\t\tstate.selectorsExcluded = true\n\t\tselectors := GetSelectors(ms, excludeSelectors)\n\t\treturn FreeSelected(ms, selectors, t)\n\t}\n}\n\n// FreeSelected frees buffers for specific selectors while preserving others.\n//\n// This function is used when we want to retain some specific nodes beyond the retention time.\n// It iterates through the provided selectors and frees their associated buffers.\n//\n// Parameters:\n//   - ms: The MemoryStore instance\n//   - selectors: List of selector paths to free (e.g., [[\"cluster1\", \"node1\"], [\"cluster2\", \"node2\"]])\n//   - t: Time threshold for freeing buffers\n//\n// Returns the total number of buffers freed and any error encountered.\nfunc FreeSelected(ms *MemoryStore, selectors [][]string, t time.Time) (int, error) {\n\tfreed := 0\n\n\tfor _, selector := range selectors {\n\n\t\tfreedBuffers, err := ms.Free(selector, t.Unix())\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"error while freeing selected buffers: %#v\", err)\n\t\t}\n\t\tfreed += freedBuffers\n\n\t}\n\n\treturn freed, nil\n}\n\n// GetSelectors returns all selectors at depth 2 (cluster/node level) that are NOT in the exclusion map.\n//\n// This function generates a list of selectors whose buffers should be freed by excluding\n// selectors that correspond to nodes currently in use by running jobs.\n//\n// Parameters:\n//   - ms: The MemoryStore instance\n//   - excludeSelectors: Map of cluster names to node hostnames that should NOT be freed\n//\n// Returns a list of selectors ([]string paths) that can be safely freed.\n//\n// Example:\n//\n//\tIf the tree has paths [\"emmy\", \"node001\"] and [\"emmy\", \"node002\"],\n//\tand excludeSelectors contains {\"emmy\": [\"node001\"]},\n//\tthen only [[\"emmy\", \"node002\"]] is returned.\nfunc GetSelectors(ms *MemoryStore, excludeSelectors map[string][]string) [][]string {\n\tallSelectors := ms.GetPaths(2)\n\n\tfilteredSelectors := make([][]string, 0, len(allSelectors))\n\n\tfor _, path := range allSelectors {\n\t\tif len(path) < 2 {\n\t\t\tcontinue\n\t\t}\n\n\t\tkey := path[0]   // The \"Key\" (Level 1)\n\t\tvalue := path[1] // The \"Value\" (Level 2)\n\n\t\texclude := false\n\n\t\t// Check if the key exists in our exclusion map\n\t\tif excludedValues, exists := excludeSelectors[key]; exists {\n\t\t\t// The key exists, now check if the specific value is in the exclusion list\n\t\t\tif slices.Contains(excludedValues, value) {\n\t\t\t\texclude = true\n\t\t\t}\n\t\t}\n\n\t\tif !exclude {\n\t\t\tfilteredSelectors = append(filteredSelectors, path)\n\t\t}\n\t}\n\n\treturn filteredSelectors\n}\n\n// GetPaths returns a list of lists (paths) to the specified depth.\nfunc (ms *MemoryStore) GetPaths(targetDepth int) [][]string {\n\tvar results [][]string\n\n\t// Start recursion. Initial path is empty.\n\t// We treat Root as depth 0.\n\tms.root.collectPaths(0, targetDepth, []string{}, &results)\n\n\treturn results\n}\n\n// Write all values in `metrics` to the level specified by `selector` for time `ts`.\n// Look at `findLevelOrCreate` for how selectors work.\nfunc (m *MemoryStore) Write(selector []string, ts int64, metrics []Metric) error {\n\tvar ok bool\n\tfor i, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tmetric.MetricConfig, ok = m.Metrics[metric.Name]\n\t\t\tif !ok {\n\t\t\t\tcclog.Debugf(\"[METRICSTORE]> Unknown metric '%s' in Write() - skipping\", metric.Name)\n\t\t\t\tmetric.MetricConfig.Frequency = 0\n\t\t\t}\n\t\t\tmetrics[i] = metric\n\t\t}\n\t}\n\n\treturn m.WriteToLevel(&m.root, selector, ts, metrics)\n}\n\nfunc (m *MemoryStore) GetLevel(selector []string) *Level {\n\treturn m.root.findLevelOrCreate(selector, len(m.Metrics))\n}\n\n// WriteToLevel assumes that `minfo` in `metrics` is filled in\nfunc (m *MemoryStore) WriteToLevel(l *Level, selector []string, ts int64, metrics []Metric) error {\n\tl = l.findLevelOrCreate(selector, len(m.Metrics))\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tfor _, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tcontinue\n\t\t}\n\n\t\tb := l.metrics[metric.MetricConfig.offset]\n\t\tif b == nil {\n\t\t\t// First write to this metric and level\n\t\t\tb = newBuffer(ts, metric.MetricConfig.Frequency)\n\t\t\tl.metrics[metric.MetricConfig.offset] = b\n\t\t}\n\n\t\tnb, err := b.write(ts, metric.Value)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\t// Last write created a new buffer...\n\t\tif b != nb {\n\t\t\tl.metrics[metric.MetricConfig.offset] = nb\n\t\t}\n\t}\n\treturn nil\n}\n\n// Read returns all values for metric `metric` from `from` to `to` for the selected level(s).\n// If the level does not hold the metric itself, the data will be aggregated recursively from the children.\n// The second and third return value are the actual from/to for the data. Those can be different from\n// the range asked for if no data was available.\nfunc (m *MemoryStore) Read(selector util.Selector, metric string, from, to, resolution int64) ([]schema.Float, int64, int64, int64, error) {\n\tif from > to {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid time range\")\n\t}\n\n\tminfo, ok := m.Metrics[metric]\n\tif !ok {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> unknown metric: \" + metric)\n\t}\n\n\tn, data := 0, make([]schema.Float, (to-from)/minfo.Frequency+1)\n\n\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n\t\tcdata, cfrom, cto, err := b.read(from, to, data)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif n == 0 {\n\t\t\tfrom, to = cfrom, cto\n\t\t} else if from != cfrom || to != cto || len(data) != len(cdata) {\n\t\t\tmissingfront, missingback := int((from-cfrom)/minfo.Frequency), int((to-cto)/minfo.Frequency)\n\t\t\tif missingfront != 0 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tnewlen := len(cdata) - missingback\n\t\t\tif newlen < 1 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\t\t\tcdata = cdata[0:newlen]\n\t\t\tif len(cdata) != len(data) {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tfrom, to = cfrom, cto\n\t\t}\n\n\t\tdata = cdata\n\t\tn += 1\n\t\treturn nil\n\t})\n\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t} else if n == 0 {\n\t\treturn nil, 0, 0, 0, ErrNoHostOrMetric\n\t} else if n > 1 {\n\t\tif minfo.Aggregation == AvgAggregation {\n\t\t\tnormalize := 1. / schema.Float(n)\n\t\t\tfor i := 0; i < len(data); i++ {\n\t\t\t\tdata[i] *= normalize\n\t\t\t}\n\t\t} else if minfo.Aggregation != SumAggregation {\n\t\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid aggregation\")\n\t\t}\n\t}\n\n\tdata, resolution, err = resampler.LargestTriangleThreeBucket(data, minfo.Frequency, resolution)\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t}\n\n\treturn data, from, to, resolution, nil\n}\n\n// Free releases all buffers for the selected level and all its children that\n// contain only values older than `t`.\nfunc (m *MemoryStore) Free(selector []string, t int64) (int, error) {\n\treturn m.GetLevel(selector).free(t)\n}\n\n// ForceFree unconditionally removes the oldest buffer from each metric chain.\nfunc (m *MemoryStore) ForceFree() (int, error) {\n\treturn m.GetLevel(nil).forceFree()\n}\n\nfunc (m *MemoryStore) FreeAll() error {\n\tm.root.lock.Lock()\n\tdefer m.root.lock.Unlock()\n\n\tfor k := range m.root.children {\n\t\tdelete(m.root.children, k)\n\t}\n\n\treturn nil\n}\n\nfunc (m *MemoryStore) SizeInBytes() int64 {\n\treturn m.root.sizeInBytes()\n}\n\nfunc (m *MemoryStore) SizeInGB() float64 {\n\treturn float64(m.root.sizeInBytes()) / 1e9\n}\n\n// ListChildren , given a selector, returns a list of all children of the level\n// selected.\nfunc (m *MemoryStore) ListChildren(selector []string) []string {\n\tlvl := &m.root\n\tfor lvl != nil && len(selector) != 0 {\n\t\tlvl.lock.RLock()\n\t\tnext := lvl.children[selector[0]]\n\t\tlvl.lock.RUnlock()\n\t\tlvl = next\n\t\tselector = selector[1:]\n\t}\n\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\tlvl.lock.RLock()\n\tdefer lvl.lock.RUnlock()\n\n\tchildren := make([]string, 0, len(lvl.children))\n\tfor child := range lvl.children {\n\t\tchildren = append(children, child)\n\t}\n\n\treturn children\n}\n","structuredPatch":[{"oldStart":277,"oldLines":7,"newStart":277,"newLines":9,"lines":["   }"," ","   if Keys.Checkpoints.FileFormat == \"wal\" {","-    close(WALMessages)","+    for _, ch := range walShardChs {","+      close(ch)","+    }","   }"," ","   cclog.Infof(\"[METRICSTORE]> Writing to '%s'...\\n\", Keys.Checkpoints.RootDir)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"017c0be7-76a0-498d-9354-21ea8abfce53","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"59ac1522-b87a-45f0-87b8-93fb72fd6a78","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01X7AnUfWCnnPJXLTEAZsZq1","type":"message","role":"assistant","content":[{"type":"text","text":"Now let's build to check for compile errors:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":382,"cache_read_input_tokens":55824,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":382},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ9zn7yRN57FeDCAQrGXZ","type":"assistant","uuid":"3cc63bed-cb1e-4571-9fdc-e9056d6e6dc6","timestamp":"2026-03-18T05:31:07.607Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"3cc63bed-cb1e-4571-9fdc-e9056d6e6dc6","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01X7AnUfWCnnPJXLTEAZsZq1","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BqTkZLKPSRL5EVSwyS4amt","name":"Bash","input":{"command":"go build ./pkg/metricstore/... 2>&1","description":"Build metricstore package"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":382,"cache_read_input_tokens":55824,"output_tokens":116,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":382,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ9zn7yRN57FeDCAQrGXZ","type":"assistant","uuid":"0881d0aa-92e5-4981-aa8f-4a64bc9a92fe","timestamp":"2026-03-18T05:31:08.383Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"parentUuid":"188e34e8-55c1-4847-ae86-e6d827014360","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01GtHqLvX4q7LhS7YkRDp5ar","type":"message","role":"assistant","content":[{"type":"text","text":"Clean build. Let's also run the full project build and tests:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":186,"cache_read_input_tokens":56206,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":186},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ9znSd6As8886ia3REp6","type":"assistant","uuid":"4668faaf-42c8-4025-bbee-a5b9706a433f","timestamp":"2026-03-18T05:31:13.817Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"parentUuid":"4d37f699-e42d-4bd7-bb4e-d95df2422dbb","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01RSQmBwXa83kYfAiBkLVQdu","type":"message","role":"assistant","content":[{"type":"text","text":"All tests pass. Let me verify the final state of the changed files:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":125,"cache_read_input_tokens":56503,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":125},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ9zoU6fYFKwwjxYpSvE6","type":"assistant","uuid":"542ed700-3c46-4ac9-b162-0b880d06cc03","timestamp":"2026-03-18T05:31:27.817Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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+{"parentUuid":"c8d546ed-a51f-408a-98ff-4ff66577d190","isSidechain":false,"promptId":"53f7aeff-f280-4fa6-a195-55ff40087d7e","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ELxafpVje5dpr1LMyBZQ36","type":"tool_result","content":" pkg/metricstore/lineprotocol.go  |   8 +-\n pkg/metricstore/metricstore.go   |   4 +-\n pkg/metricstore/walCheckpoint.go | 362 +++++++++++++++++++++++++++------------\n 3 files changed, 254 insertions(+), 120 deletions(-)","is_error":false}]},"uuid":"d95a6f2d-ee1e-446f-bb5c-075ee88f40aa","timestamp":"2026-03-18T05:31:28.138Z","toolUseResult":{"stdout":" pkg/metricstore/lineprotocol.go  |   8 +-\n pkg/metricstore/metricstore.go   |   4 +-\n pkg/metricstore/walCheckpoint.go | 362 +++++++++++++++++++++++++++------------\n 3 files changed, 254 insertions(+), 120 deletions(-)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"c8d546ed-a51f-408a-98ff-4ff66577d190","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
+{"parentUuid":"d95a6f2d-ee1e-446f-bb5c-075ee88f40aa","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_018MviUYNEraK8d5wonXbnPx","type":"message","role":"assistant","content":[{"type":"text","text":"All changes compile and tests pass. Here's a summary of what was implemented:\n\n**Change 1 — Sharded WAL writer goroutines** (`walCheckpoint.go`):\n- Replaced single `WALMessages` channel + `WALStaging()` goroutine with `walNumShards` (= `NumWorkers`) independent shard goroutines\n- Each shard has its own channel (`walShardChs[i]`) and `hostFiles` map — zero contention between shards\n- Messages route to shards via `walShardIndex()` using FNV-1a hash of `cluster + \"\\0\" + node`, ensuring per-host writes stay serial\n- Per-shard channel buffer: `65536 / numShards` (min 1024) — same total memory budget\n\n**Change 2 — Zero-allocation record writing** (`walCheckpoint.go`):\n- Added `writeWALRecordDirect(w *bufio.Writer, msg)` that encodes the record directly into the `bufio.Writer` using a stack-allocated `[8]byte` scratch buffer and computes CRC inline via `crc32.NewIEEE()`\n- Eliminates both the `buildWALPayload()` and `writeWALRecord()` allocations from the hot path (old functions retained for tests/replay)\n\n**Change 3 — Route WAL sends to shards** (`lineprotocol.go`):\n- `SendWALMessage(msg)` replaces the direct channel send, routing to the correct shard\n\n**Change 4 — Shard-aware rotation** (`walCheckpoint.go`):\n- `RotateWALFiles` hashes the host directory to find the correct shard and sends the rotate request there via `walShardRotateChs[shard]`\n\n**Change 5 — Shutdown** (`metricstore.go`):\n- Closes all shard channels in a loop instead of closing a single `WALMessages` channel"}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":195,"cache_read_input_tokens":56628,"output_tokens":470,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":195,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ9zonTxkCowGYKgAqyvj","type":"assistant","uuid":"4d126e55-dda3-40ef-9b6a-bb99197021a0","timestamp":"2026-03-18T05:31:40.456Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"734f1e28-b805-471f-8f2c-275878888543","version":"2.1.78","gitBranch":"hotfix","slug":"bright-wandering-flurry"}
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diff --git a/e5/83b7b11439/0/metadata.json b/e5/83b7b11439/0/metadata.json
new file mode 100644
index 00000000..768ccebe
--- /dev/null
+++ b/e5/83b7b11439/0/metadata.json
@@ -0,0 +1,35 @@
+{
+  "cli_version": "0.5.0",
+  "checkpoint_id": "e583b7b11439",
+  "session_id": "734f1e28-b805-471f-8f2c-275878888543",
+  "strategy": "manual-commit",
+  "created_at": "2026-03-18T05:32:14.834111Z",
+  "branch": "hotfix",
+  "checkpoints_count": 1,
+  "files_touched": [
+    "pkg/metricstore/lineprotocol.go",
+    "pkg/metricstore/metricstore.go",
+    "pkg/metricstore/walCheckpoint.go"
+  ],
+  "agent": "Claude Code",
+  "turn_id": "36ec2320c5c8",
+  "token_usage": {
+    "input_tokens": 17,
+    "cache_creation_tokens": 48157,
+    "cache_read_tokens": 717267,
+    "output_tokens": 7782,
+    "api_call_count": 15
+  },
+  "session_metrics": {
+    "turn_count": 1
+  },
+  "initial_attribution": {
+    "calculated_at": "2026-03-18T05:32:14.68841Z",
+    "agent_lines": 254,
+    "human_added": 0,
+    "human_modified": 0,
+    "human_removed": 0,
+    "total_committed": 254,
+    "agent_percentage": 100
+  }
+}
diff --git a/e5/83b7b11439/metadata.json b/e5/83b7b11439/metadata.json
new file mode 100644
index 00000000..89543a3e
--- /dev/null
+++ b/e5/83b7b11439/metadata.json
@@ -0,0 +1,27 @@
+{
+  "cli_version": "0.5.0",
+  "checkpoint_id": "e583b7b11439",
+  "strategy": "manual-commit",
+  "branch": "hotfix",
+  "checkpoints_count": 1,
+  "files_touched": [
+    "pkg/metricstore/lineprotocol.go",
+    "pkg/metricstore/metricstore.go",
+    "pkg/metricstore/walCheckpoint.go"
+  ],
+  "sessions": [
+    {
+      "metadata": "/e5/83b7b11439/0/metadata.json",
+      "transcript": "/e5/83b7b11439/0/full.jsonl",
+      "content_hash": "/e5/83b7b11439/0/content_hash.txt",
+      "prompt": ""
+    }
+  ],
+  "token_usage": {
+    "input_tokens": 17,
+    "cache_creation_tokens": 48157,
+    "cache_read_tokens": 717267,
+    "output_tokens": 7782,
+    "api_call_count": 15
+  }
+}
diff --git a/f3/1dc1847539/0/content_hash.txt b/f3/1dc1847539/0/content_hash.txt
new file mode 100644
index 00000000..c7662df0
--- /dev/null
+++ b/f3/1dc1847539/0/content_hash.txt
@@ -0,0 +1 @@
+sha256:19d95f0ed71483b138c26c8af01a9d6613b58e19f55eadfea62556090e23b77b
\ No newline at end of file
diff --git a/f3/1dc1847539/0/full.jsonl b/f3/1dc1847539/0/full.jsonl
new file mode 100644
index 00000000..54ea42f3
--- /dev/null
+++ b/f3/1dc1847539/0/full.jsonl
@@ -0,0 +1,80 @@
+{"type":"file-history-snapshot","messageId":"b1bacfa9-3ad5-4441-8ab5-ad340f9b536c","snapshot":{"messageId":"b1bacfa9-3ad5-4441-8ab5-ad340f9b536c","trackedFileBackups":{},"timestamp":"2026-03-18T16:26:46.836Z"},"isSnapshotUpdate":false}
+{"parentUuid":null,"isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"082574b9-c285-4ed7-84fa-a21f0ea0c3d6","toolUseID":"082574b9-c285-4ed7-84fa-a21f0ea0c3d6","timestamp":"2026-03-18T16:26:46.785Z","uuid":"5bceeeb8-4bcc-451e-8f9b-29823bc12f88","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"ca36eb3e-bede-40f6-9e44-1f9cadea21ae","version":"2.1.78","gitBranch":"hotfix","slug":"transient-jingling-storm"}
+{"parentUuid":"5bceeeb8-4bcc-451e-8f9b-29823bc12f88","isSidechain":false,"promptId":"a0100614-6c1c-4f22-9718-4c52a4866f7f","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Fix Memory and Performance Issues in Parquet Checkpoint Archiver\n\n## Context\n\nThe Parquet archiver (`archiveCheckpoints` in `archive.go`) converts checkpoint files to Parquet format for long-term storage. When checkpoints are large (many metrics, many cores, high-frequency sampling), the current implementation has severe memory problems due to:\n\n1. Materializing the entire checkpoint tree AND a massive flat row slice simultaneously\n2. Each `ParquetMetricRow` is ~104 bytes (5 string headers + 2 int64 + float32), and a single host can produce millions of rows\n3. The `results` channel is buffered to `len(hostEntries)` (i.e., ALL hosts), so all workers' results can pile up waiting for the single-threaded writer\n4. `sort.Slice` on `[]ParquetMetricRow` swaps 104-byte value types — expensive for millions of rows\n\n**Example**: A host with 50 metrics, 8 cores, 12h of data at 1s frequency produces ~19M rows = ~1.9 GB per host. With 10 workers, that's potentially ~19 GB in flight.\n\n## Critical Files\n\n- `pkg/metricstore/parquetArchive.go` — row schema, flatten, sort, writer\n- `pkg/metricstore/archive.go` — orchestration (`archiveCheckpoints`)\n- `pkg/metricstore/checkpoint.go` — `CheckpointFile` struct, `findFiles`\n\n## Problems and Fixes\n\n### Problem 1: Unbounded Results Channel (Critical — easiest fix)\n\n**archive.go:202**: `results := make(chan hostResult, len(hostEntries))`\n\nThis buffers ALL host results. If workers are fast and the writer is slow (Zstd compression), hundreds of hosts' row slices accumulate in the channel simultaneously.\n\n**Fix**: Reduce buffer to `Keys.NumWorkers` (or a small constant like 2). Workers will naturally back-pressure when the channel is full, keeping at most `NumWorkers + buffer` host results in memory.\n\n```go\nresults := make(chan hostResult, 2)  // back-pressure: at most NumWorkers+2 in flight\n```\n\n### Problem 2: Redundant String Data in Flat Rows (Critical — biggest memory win)\n\nEach `ParquetMetricRow` stores 5 strings (cluster, hostname, metric, scope, scope_id) = 80 bytes of string headers. For rows from the same host+metric, cluster/hostname/metric are identical. With 19M rows, that's ~1.5 GB of redundant string headers alone.\n\n**Fix**: Write Parquet rows in a column-oriented streaming fashion directly from the `CheckpointFile` tree, avoiding the flat `[]ParquetMetricRow` intermediate entirely.\n\nReplace `flattenCheckpointFile` + `sortParquetRows` + `WriteHostRows` with a method that walks the `CheckpointFile` tree metric-by-metric and writes rows in already-sorted order (metrics are iterated one at a time, timestamps are naturally ascending within each metric). This eliminates both the giant allocation and the sort.\n\n```go\nfunc (w *parquetArchiveWriter) WriteCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string) error {\n    // Write metrics for this level — already in (metric, timestamp) order\n    // since we iterate one metric at a time and timestamps are sequential\n    for metricName, cm := range cf.Metrics {\n        // Build rows for this one metric and write immediately\n        // Small batch: only len(cm.Data) rows at a time\n    }\n    // Recurse into children\n    for childName, childCf := range cf.Children {\n        childScope, childScopeID := parseScopeFromName(childName)\n        w.WriteCheckpointFile(childCf, cluster, hostname, childScope, childScopeID)\n    }\n}\n```\n\n**Caveat**: Map iteration order is random in Go, so metric names won't be in sorted order across metrics. Two options:\n- (a) Collect and sort metric names first (tiny allocation — just the keys), then iterate in order. This gives perfect (metric, timestamp) sort with zero row accumulation.\n- (b) Accumulate rows per-level only (much smaller than full tree) and sort that batch.\n\nOption (a) is preferred — zero-copy, streaming, and produces optimally sorted output.\n\n### Problem 3: sort.Slice Swaps 104-byte Structs (Medium)\n\nIf we keep any sorting, `sort.Slice` on value-type structs swaps the full 104 bytes per swap. For millions of rows this is slow.\n\n**Fix**: If Problem 2's fix is adopted (streaming metric-by-metric), sorting is eliminated entirely. If sorting is still needed for any reason, sort an index slice and then permute:\n\n```go\nidx := make([]int, len(rows))\nfor i := range idx { idx[i] = i }\nsort.Slice(idx, func(i, j int) bool { ... })\n// Then write rows[idx[i]] in order\n```\n\n### Problem 4: Double Materialization — CheckpointFile + Rows (Medium)\n\n`archiveCheckpointsToParquet` loads ALL checkpoint files for a host into `[]loaded` (line 256-268), then iterates them again to flatten. Both the `CheckpointFile` trees and the `[]ParquetMetricRow` slice coexist in memory.\n\n**Fix**: Process one checkpoint file at a time — load, stream to writer, discard:\n\n```go\nfor _, checkpoint := range files {\n    cf, err := loadCheckpointFileFromDisk(filename)\n    if err != nil { continue }\n    writer.WriteCheckpointFile(cf, cluster, host, \"node\", \"\")\n    // cf is now unreferenced and eligible for GC\n}\n```\n\n### Problem 5: Duplicate Sort (Minor)\n\n`sortParquetRows` is called at archive.go:262, and `WriteHostRows` calls `sort.Slice` again on the same data (parquetArchive.go:128). The data is sorted twice.\n\n**Fix**: Remove one of them. If Problem 2's fix is adopted, both are eliminated.\n\n## Implementation Plan\n\n### Step 1: Reduce results channel buffer\n- **File**: `pkg/metricstore/archive.go:202`\n- Change `len(hostEntries)` to `2`\n\n### Step 2: Add streaming writer method\n- **File**: `pkg/metricstore/parquetArchive.go`\n- Add `WriteCheckpointFileDirect(cf *CheckpointFile, cluster, hostname, scope, scopeID string) error`\n- Iterates metrics with sorted keys, writes rows per-metric in timestamp order\n- Recurses into children (sorted by name for determinism)\n- Uses a small reusable `[]ParquetMetricRow` batch buffer (e.g., 1024 rows) to amortize writer calls\n\n### Step 3: Simplify archiveCheckpoints to stream per-file\n- **File**: `pkg/metricstore/archive.go`\n- Replace `archiveCheckpointsToParquet` call pattern: instead of returning `[]ParquetMetricRow`, pass the writer directly to each worker\n- Each worker loads one checkpoint file at a time, streams it through the writer, then discards\n- **Concurrency note**: The parquet writer is NOT thread-safe, so the main loop must remain single-threaded for writes. Workers load+flatten, main thread writes. But with the streaming approach, the `hostResult` struct no longer carries `[]ParquetMetricRow` — it could carry the `*CheckpointFile` directly (much smaller than the flattened rows) or we serialize in the main thread.\n\n**Revised architecture**:\n```\nWorkers: load checkpoint files from disk → send CheckpointFile on channel\nMain:    receive CheckpointFile → WriteCheckpointFileDirect → delete source files\n```\n\nThis means workers only do I/O (disk reads), and the main thread does the streaming write. The `CheckpointFile` is much smaller than the flattened rows (it stores `[]schema.Float` arrays, not per-row structs with repeated strings).\n\n### Step 4: Remove dead code\n- Remove `flattenCheckpointFile`, `sortParquetRows`, `estimateRowCount` (all unused after refactor)\n- Remove `WriteHostRows` if fully replaced\n- Keep `ParquetMetricRow` schema (still needed by the writer)\n\n### Step 5: Remove duplicate sort in WriteHostRows\n- If `WriteHostRows` is kept for any reason, remove the redundant sort (it's also called from `archiveCheckpoints`)\n\n## Verification\n\n```bash\n# Build\ngo build ./pkg/metricstore/...\n\n# Run existing tests\ngo test ./pkg/metricstore/...\n\n# Manual: run with archiving enabled and monitor memory\n# Compare parquet output before/after to ensure same data\n```\n\n## Memory Impact Summary\n\n| Scenario (50 metrics, 8 cores, 12h@1s) | Before | After |\n|---|---|---|\n| Per-host peak (rows) | ~1.9 GB | ~0 (streaming) |\n| Per-host peak (CheckpointFile) | ~70 MB | ~70 MB (transient) |\n| Results channel (1000 hosts) | 1000 slots | 2 slots |\n| Sort overhead | O(n log n) on 19M×104B | eliminated |\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/b8aa3f88-b5cb-4709-9bb6-99559b819b8b.jsonl"},"uuid":"b1bacfa9-3ad5-4441-8ab5-ad340f9b536c","timestamp":"2026-03-18T16:26:46.667Z","planContent":"# Fix Memory and Performance Issues in Parquet Checkpoint Archiver\n\n## Context\n\nThe Parquet archiver (`archiveCheckpoints` in `archive.go`) converts checkpoint files to Parquet format for long-term storage. When checkpoints are large (many metrics, many cores, high-frequency sampling), the current implementation has severe memory problems due to:\n\n1. Materializing the entire checkpoint tree AND a massive flat row slice simultaneously\n2. Each `ParquetMetricRow` is ~104 bytes (5 string headers + 2 int64 + float32), and a single host can produce millions of rows\n3. The `results` channel is buffered to `len(hostEntries)` (i.e., ALL hosts), so all workers' results can pile up waiting for the single-threaded writer\n4. `sort.Slice` on `[]ParquetMetricRow` swaps 104-byte value types — expensive for millions of rows\n\n**Example**: A host with 50 metrics, 8 cores, 12h of data at 1s frequency produces ~19M rows = ~1.9 GB per host. With 10 workers, that's potentially ~19 GB in flight.\n\n## Critical Files\n\n- `pkg/metricstore/parquetArchive.go` — row schema, flatten, sort, writer\n- `pkg/metricstore/archive.go` — orchestration (`archiveCheckpoints`)\n- `pkg/metricstore/checkpoint.go` — `CheckpointFile` struct, `findFiles`\n\n## Problems and Fixes\n\n### Problem 1: Unbounded Results Channel (Critical — easiest fix)\n\n**archive.go:202**: `results := make(chan hostResult, len(hostEntries))`\n\nThis buffers ALL host results. If workers are fast and the writer is slow (Zstd compression), hundreds of hosts' row slices accumulate in the channel simultaneously.\n\n**Fix**: Reduce buffer to `Keys.NumWorkers` (or a small constant like 2). Workers will naturally back-pressure when the channel is full, keeping at most `NumWorkers + buffer` host results in memory.\n\n```go\nresults := make(chan hostResult, 2)  // back-pressure: at most NumWorkers+2 in flight\n```\n\n### Problem 2: Redundant String Data in Flat Rows (Critical — biggest memory win)\n\nEach `ParquetMetricRow` stores 5 strings (cluster, hostname, metric, scope, scope_id) = 80 bytes of string headers. For rows from the same host+metric, cluster/hostname/metric are identical. With 19M rows, that's ~1.5 GB of redundant string headers alone.\n\n**Fix**: Write Parquet rows in a column-oriented streaming fashion directly from the `CheckpointFile` tree, avoiding the flat `[]ParquetMetricRow` intermediate entirely.\n\nReplace `flattenCheckpointFile` + `sortParquetRows` + `WriteHostRows` with a method that walks the `CheckpointFile` tree metric-by-metric and writes rows in already-sorted order (metrics are iterated one at a time, timestamps are naturally ascending within each metric). This eliminates both the giant allocation and the sort.\n\n```go\nfunc (w *parquetArchiveWriter) WriteCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string) error {\n    // Write metrics for this level — already in (metric, timestamp) order\n    // since we iterate one metric at a time and timestamps are sequential\n    for metricName, cm := range cf.Metrics {\n        // Build rows for this one metric and write immediately\n        // Small batch: only len(cm.Data) rows at a time\n    }\n    // Recurse into children\n    for childName, childCf := range cf.Children {\n        childScope, childScopeID := parseScopeFromName(childName)\n        w.WriteCheckpointFile(childCf, cluster, hostname, childScope, childScopeID)\n    }\n}\n```\n\n**Caveat**: Map iteration order is random in Go, so metric names won't be in sorted order across metrics. Two options:\n- (a) Collect and sort metric names first (tiny allocation — just the keys), then iterate in order. This gives perfect (metric, timestamp) sort with zero row accumulation.\n- (b) Accumulate rows per-level only (much smaller than full tree) and sort that batch.\n\nOption (a) is preferred — zero-copy, streaming, and produces optimally sorted output.\n\n### Problem 3: sort.Slice Swaps 104-byte Structs (Medium)\n\nIf we keep any sorting, `sort.Slice` on value-type structs swaps the full 104 bytes per swap. For millions of rows this is slow.\n\n**Fix**: If Problem 2's fix is adopted (streaming metric-by-metric), sorting is eliminated entirely. If sorting is still needed for any reason, sort an index slice and then permute:\n\n```go\nidx := make([]int, len(rows))\nfor i := range idx { idx[i] = i }\nsort.Slice(idx, func(i, j int) bool { ... })\n// Then write rows[idx[i]] in order\n```\n\n### Problem 4: Double Materialization — CheckpointFile + Rows (Medium)\n\n`archiveCheckpointsToParquet` loads ALL checkpoint files for a host into `[]loaded` (line 256-268), then iterates them again to flatten. Both the `CheckpointFile` trees and the `[]ParquetMetricRow` slice coexist in memory.\n\n**Fix**: Process one checkpoint file at a time — load, stream to writer, discard:\n\n```go\nfor _, checkpoint := range files {\n    cf, err := loadCheckpointFileFromDisk(filename)\n    if err != nil { continue }\n    writer.WriteCheckpointFile(cf, cluster, host, \"node\", \"\")\n    // cf is now unreferenced and eligible for GC\n}\n```\n\n### Problem 5: Duplicate Sort (Minor)\n\n`sortParquetRows` is called at archive.go:262, and `WriteHostRows` calls `sort.Slice` again on the same data (parquetArchive.go:128). The data is sorted twice.\n\n**Fix**: Remove one of them. If Problem 2's fix is adopted, both are eliminated.\n\n## Implementation Plan\n\n### Step 1: Reduce results channel buffer\n- **File**: `pkg/metricstore/archive.go:202`\n- Change `len(hostEntries)` to `2`\n\n### Step 2: Add streaming writer method\n- **File**: `pkg/metricstore/parquetArchive.go`\n- Add `WriteCheckpointFileDirect(cf *CheckpointFile, cluster, hostname, scope, scopeID string) error`\n- Iterates metrics with sorted keys, writes rows per-metric in timestamp order\n- Recurses into children (sorted by name for determinism)\n- Uses a small reusable `[]ParquetMetricRow` batch buffer (e.g., 1024 rows) to amortize writer calls\n\n### Step 3: Simplify archiveCheckpoints to stream per-file\n- **File**: `pkg/metricstore/archive.go`\n- Replace `archiveCheckpointsToParquet` call pattern: instead of returning `[]ParquetMetricRow`, pass the writer directly to each worker\n- Each worker loads one checkpoint file at a time, streams it through the writer, then discards\n- **Concurrency note**: The parquet writer is NOT thread-safe, so the main loop must remain single-threaded for writes. Workers load+flatten, main thread writes. But with the streaming approach, the `hostResult` struct no longer carries `[]ParquetMetricRow` — it could carry the `*CheckpointFile` directly (much smaller than the flattened rows) or we serialize in the main thread.\n\n**Revised architecture**:\n```\nWorkers: load checkpoint files from disk → send CheckpointFile on channel\nMain:    receive CheckpointFile → WriteCheckpointFileDirect → delete source files\n```\n\nThis means workers only do I/O (disk reads), and the main thread does the streaming write. The `CheckpointFile` is much smaller than the flattened rows (it stores `[]schema.Float` arrays, not per-row structs with repeated strings).\n\n### Step 4: Remove dead code\n- Remove `flattenCheckpointFile`, `sortParquetRows`, `estimateRowCount` (all unused after refactor)\n- Remove `WriteHostRows` if fully replaced\n- Keep `ParquetMetricRow` schema (still needed by the writer)\n\n### Step 5: Remove duplicate sort in WriteHostRows\n- If `WriteHostRows` is kept for any reason, remove the redundant sort (it's also called from `archiveCheckpoints`)\n\n## Verification\n\n```bash\n# Build\ngo build ./pkg/metricstore/...\n\n# Run existing tests\ngo test ./pkg/metricstore/...\n\n# Manual: run with archiving enabled and monitor memory\n# Compare parquet output before/after to ensure same data\n```\n\n## Memory Impact Summary\n\n| Scenario (50 metrics, 8 cores, 12h@1s) | Before | After |\n|---|---|---|\n| Per-host peak (rows) | ~1.9 GB | ~0 (streaming) |\n| Per-host peak (CheckpointFile) | ~70 MB | ~70 MB (transient) |\n| Results channel (1000 hosts) | 1000 slots | 2 slots |\n| Sort overhead | O(n log n) on 19M×104B | eliminated |\n","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"ca36eb3e-bede-40f6-9e44-1f9cadea21ae","version":"2.1.78","gitBranch":"hotfix","slug":"transient-jingling-storm"}
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+{"parentUuid":"ae97c95b-e5a7-4b02-89b3-a4140052038a","isSidechain":false,"promptId":"a0100614-6c1c-4f22-9718-4c52a4866f7f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0162w31u5a57TbsfVP8s9vks","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package metricstore\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"errors\"\n    11→\t\"fmt\"\n    12→\t\"os\"\n    13→\t\"path/filepath\"\n    14→\t\"sync\"\n    15→\t\"sync/atomic\"\n    16→\t\"time\"\n    17→\n    18→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    19→)\n    20→\n    21→// Worker for either Archiving or Deleting files\n    22→\n    23→func CleanUp(wg *sync.WaitGroup, ctx context.Context) {\n    24→\tif Keys.Cleanup.Mode == \"archive\" {\n    25→\t\t// Run as Archiver\n    26→\t\tcleanUpWorker(wg, ctx,\n    27→\t\t\tKeys.RetentionInMemory,\n    28→\t\t\t\"archiving\",\n    29→\t\t\tKeys.Cleanup.RootDir,\n    30→\t\t\tfalse,\n    31→\t\t)\n    32→\t} else {\n    33→\t\t// Run as Deleter\n    34→\t\tcleanUpWorker(wg, ctx,\n    35→\t\t\tKeys.RetentionInMemory,\n    36→\t\t\t\"deleting\",\n    37→\t\t\t\"\",\n    38→\t\t\ttrue,\n    39→\t\t)\n    40→\t}\n    41→}\n    42→\n    43→// cleanUpWorker takes simple values to configure what it does\n    44→func cleanUpWorker(wg *sync.WaitGroup, ctx context.Context, interval string, mode string, cleanupDir string, delete bool) {\n    45→\twg.Go(func() {\n    46→\n    47→\t\td, err := time.ParseDuration(interval)\n    48→\t\tif err != nil {\n    49→\t\t\tcclog.Fatalf(\"[METRICSTORE]> error parsing %s interval duration: %v\\n\", mode, err)\n    50→\t\t}\n    51→\t\tif d <= 0 {\n    52→\t\t\treturn\n    53→\t\t}\n    54→\n    55→\t\tticker := time.NewTicker(d)\n    56→\t\tdefer ticker.Stop()\n    57→\n    58→\t\tfor {\n    59→\t\t\tselect {\n    60→\t\t\tcase <-ctx.Done():\n    61→\t\t\t\treturn\n    62→\t\t\tcase <-ticker.C:\n    63→\t\t\t\tt := time.Now().Add(-d)\n    64→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start %s checkpoints (older than %s)...\", mode, t.Format(time.RFC3339))\n    65→\n    66→\t\t\t\tn, err := CleanupCheckpoints(Keys.Checkpoints.RootDir, cleanupDir, t.Unix(), delete)\n    67→\n    68→\t\t\t\tif err != nil {\n    69→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> %s failed: %s\", mode, err.Error())\n    70→\t\t\t\t} else {\n    71→\t\t\t\t\tif delete {\n    72→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoints deleted\", n)\n    73→\t\t\t\t\t} else {\n    74→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files archived to parquet\", n)\n    75→\t\t\t\t\t}\n    76→\t\t\t\t}\n    77→\t\t\t}\n    78→\t\t}\n    79→\t})\n    80→}\n    81→\n    82→var ErrNoNewArchiveData error = errors.New(\"all data already archived\")\n    83→\n    84→// CleanupCheckpoints deletes or archives all checkpoint files older than `from`.\n    85→// When archiving, consolidates all hosts per cluster into a single Parquet file.\n    86→func CleanupCheckpoints(checkpointsDir, cleanupDir string, from int64, deleteInstead bool) (int, error) {\n    87→\tif deleteInstead {\n    88→\t\treturn deleteCheckpoints(checkpointsDir, from)\n    89→\t}\n    90→\n    91→\treturn archiveCheckpoints(checkpointsDir, cleanupDir, from)\n    92→}\n    93→\n    94→// deleteCheckpoints removes checkpoint files older than `from` across all clusters/hosts.\n    95→func deleteCheckpoints(checkpointsDir string, from int64) (int, error) {\n    96→\tentries1, err := os.ReadDir(checkpointsDir)\n    97→\tif err != nil {\n    98→\t\treturn 0, err\n    99→\t}\n   100→\n   101→\ttype workItem struct {\n   102→\t\tdir            string\n   103→\t\tcluster, host  string\n   104→\t}\n   105→\n   106→\tvar wg sync.WaitGroup\n   107→\tn, errs := int32(0), int32(0)\n   108→\twork := make(chan workItem, Keys.NumWorkers)\n   109→\n   110→\twg.Add(Keys.NumWorkers)\n   111→\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n   112→\t\tgo func() {\n   113→\t\t\tdefer wg.Done()\n   114→\t\t\tfor item := range work {\n   115→\t\t\t\tentries, err := os.ReadDir(item.dir)\n   116→\t\t\t\tif err != nil {\n   117→\t\t\t\t\tcclog.Errorf(\"error reading %s/%s: %s\", item.cluster, item.host, err.Error())\n   118→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   119→\t\t\t\t\tcontinue\n   120→\t\t\t\t}\n   121→\n   122→\t\t\t\tfiles, err := findFiles(entries, from, false)\n   123→\t\t\t\tif err != nil {\n   124→\t\t\t\t\tcclog.Errorf(\"error finding files in %s/%s: %s\", item.cluster, item.host, err.Error())\n   125→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   126→\t\t\t\t\tcontinue\n   127→\t\t\t\t}\n   128→\n   129→\t\t\t\tfor _, checkpoint := range files {\n   130→\t\t\t\t\tif err := os.Remove(filepath.Join(item.dir, checkpoint)); err != nil {\n   131→\t\t\t\t\t\tcclog.Errorf(\"error deleting %s/%s/%s: %s\", item.cluster, item.host, checkpoint, err.Error())\n   132→\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   133→\t\t\t\t\t} else {\n   134→\t\t\t\t\t\tatomic.AddInt32(&n, 1)\n   135→\t\t\t\t\t}\n   136→\t\t\t\t}\n   137→\t\t\t}\n   138→\t\t}()\n   139→\t}\n   140→\n   141→\tfor _, de1 := range entries1 {\n   142→\t\tentries2, e := os.ReadDir(filepath.Join(checkpointsDir, de1.Name()))\n   143→\t\tif e != nil {\n   144→\t\t\terr = e\n   145→\t\t\tcontinue\n   146→\t\t}\n   147→\n   148→\t\tfor _, de2 := range entries2 {\n   149→\t\t\twork <- workItem{\n   150→\t\t\t\tdir:     filepath.Join(checkpointsDir, de1.Name(), de2.Name()),\n   151→\t\t\t\tcluster: de1.Name(),\n   152→\t\t\t\thost:    de2.Name(),\n   153→\t\t\t}\n   154→\t\t}\n   155→\t}\n   156→\n   157→\tclose(work)\n   158→\twg.Wait()\n   159→\n   160→\tif err != nil {\n   161→\t\treturn int(n), err\n   162→\t}\n   163→\tif errs > 0 {\n   164→\t\treturn int(n), fmt.Errorf(\"%d errors happened while deleting (%d successes)\", errs, n)\n   165→\t}\n   166→\treturn int(n), nil\n   167→}\n   168→\n   169→// archiveCheckpoints archives checkpoint files to Parquet format.\n   170→// Produces one Parquet file per cluster: <cleanupDir>/<cluster>/<timestamp>.parquet\n   171→// Each host's rows are written as a separate row group to avoid accumulating\n   172→// all data in memory at once.\n   173→func archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n   174→\tcclog.Info(\"[METRICSTORE]> start archiving checkpoints to parquet\")\n   175→\tstartTime := time.Now()\n   176→\n   177→\tclusterEntries, err := os.ReadDir(checkpointsDir)\n   178→\tif err != nil {\n   179→\t\treturn 0, err\n   180→\t}\n   181→\n   182→\ttotalFiles := 0\n   183→\n   184→\tfor _, clusterEntry := range clusterEntries {\n   185→\t\tif !clusterEntry.IsDir() {\n   186→\t\t\tcontinue\n   187→\t\t}\n   188→\n   189→\t\tcluster := clusterEntry.Name()\n   190→\t\thostEntries, err := os.ReadDir(filepath.Join(checkpointsDir, cluster))\n   191→\t\tif err != nil {\n   192→\t\t\treturn totalFiles, err\n   193→\t\t}\n   194→\n   195→\t\t// Stream per-host rows to parquet writer via worker pool\n   196→\t\ttype hostResult struct {\n   197→\t\t\trows  []ParquetMetricRow\n   198→\t\t\tfiles []string // checkpoint filenames to delete after successful write\n   199→\t\t\tdir   string   // checkpoint directory for this host\n   200→\t\t}\n   201→\n   202→\t\tresults := make(chan hostResult, len(hostEntries))\n   203→\t\twork := make(chan struct {\n   204→\t\t\tdir, host string\n   205→\t\t}, Keys.NumWorkers)\n   206→\n   207→\t\tvar wg sync.WaitGroup\n   208→\t\terrs := int32(0)\n   209→\n   210→\t\twg.Add(Keys.NumWorkers)\n   211→\t\tfor w := 0; w < Keys.NumWorkers; w++ {\n   212→\t\t\tgo func() {\n   213→\t\t\t\tdefer wg.Done()\n   214→\t\t\t\tfor item := range work {\n   215→\t\t\t\t\trows, files, err := archiveCheckpointsToParquet(item.dir, cluster, item.host, from)\n   216→\t\t\t\t\tif err != nil {\n   217→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())\n   218→\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   219→\t\t\t\t\t\tcontinue\n   220→\t\t\t\t\t}\n   221→\t\t\t\t\tif len(rows) > 0 {\n   222→\t\t\t\t\t\tresults <- hostResult{rows: rows, files: files, dir: item.dir}\n   223→\t\t\t\t\t}\n   224→\t\t\t\t}\n   225→\t\t\t}()\n   226→\t\t}\n   227→\n   228→\t\tgo func() {\n   229→\t\t\tfor _, hostEntry := range hostEntries {\n   230→\t\t\t\tif !hostEntry.IsDir() {\n   231→\t\t\t\t\tcontinue\n   232→\t\t\t\t}\n   233→\t\t\t\tdir := filepath.Join(checkpointsDir, cluster, hostEntry.Name())\n   234→\t\t\t\twork <- struct {\n   235→\t\t\t\t\tdir, host string\n   236→\t\t\t\t}{dir: dir, host: hostEntry.Name()}\n   237→\t\t\t}\n   238→\t\t\tclose(work)\n   239→\t\t\twg.Wait()\n   240→\t\t\tclose(results)\n   241→\t\t}()\n   242→\n   243→\t\t// Open streaming writer and write each host's rows as a row group\n   244→\t\tparquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))\n   245→\t\twriter, err := newParquetArchiveWriter(parquetFile)\n   246→\t\tif err != nil {\n   247→\t\t\t// Drain results channel to unblock workers\n   248→\t\t\tfor range results {\n   249→\t\t\t}\n   250→\t\t\treturn totalFiles, fmt.Errorf(\"creating parquet writer for cluster %s: %w\", cluster, err)\n   251→\t\t}\n   252→\n   253→\t\ttype deleteItem struct {\n   254→\t\t\tdir   string\n   255→\t\t\tfiles []string\n   256→\t\t}\n   257→\t\tvar toDelete []deleteItem\n   258→\t\twriteErr := error(nil)\n   259→\n   260→\t\tfor r := range results {\n   261→\t\t\tif writeErr == nil {\n   262→\t\t\t\tsortParquetRows(r.rows)\n   263→\t\t\t\tif err := writer.WriteHostRows(r.rows); err != nil {\n   264→\t\t\t\t\twriteErr = err\n   265→\t\t\t\t}\n   266→\t\t\t}\n   267→\t\t\t// Always track files for deletion (even if write failed, we still drain)\n   268→\t\t\ttoDelete = append(toDelete, deleteItem{dir: r.dir, files: r.files})\n   269→\t\t}\n   270→\n   271→\t\tif err := writer.Close(); err != nil && writeErr == nil {\n   272→\t\t\twriteErr = err\n   273→\t\t}\n   274→\n   275→\t\tif errs > 0 {\n   276→\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n   277→\t\t}\n   278→\n   279→\t\tif writer.count == 0 {\n   280→\t\t\t// No data written — remove empty file\n   281→\t\t\tos.Remove(parquetFile)\n   282→\t\t\tcontinue\n   283→\t\t}\n   284→\n   285→\t\tif writeErr != nil {\n   286→\t\t\tos.Remove(parquetFile)\n   287→\t\t\treturn totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, writeErr)\n   288→\t\t}\n   289→\n   290→\t\t// Delete archived checkpoint files\n   291→\t\tfor _, item := range toDelete {\n   292→\t\t\tfor _, file := range item.files {\n   293→\t\t\t\tfilename := filepath.Join(item.dir, file)\n   294→\t\t\t\tif err := os.Remove(filename); err != nil {\n   295→\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n   296→\t\t\t\t} else {\n   297→\t\t\t\t\ttotalFiles++\n   298→\t\t\t\t}\n   299→\t\t\t}\n   300→\t\t}\n   301→\n   302→\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n   303→\t\t\twriter.count, totalFiles, cluster, parquetFile)\n   304→\t}\n   305→\n   306→\tcclog.Infof(\"[METRICSTORE]> archiving checkpoints completed in %s (%d files)\", time.Since(startTime).Round(time.Millisecond), totalFiles)\n   307→\treturn totalFiles, nil\n   308→}\n   309→"}]},"uuid":"33d880d2-7627-4150-9de7-b499ceecd4f3","timestamp":"2026-03-18T16:26:51.320Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/archive.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"sync\"\n\t\"sync/atomic\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n)\n\n// Worker for either Archiving or Deleting files\n\nfunc CleanUp(wg *sync.WaitGroup, ctx context.Context) {\n\tif Keys.Cleanup.Mode == \"archive\" {\n\t\t// Run as Archiver\n\t\tcleanUpWorker(wg, ctx,\n\t\t\tKeys.RetentionInMemory,\n\t\t\t\"archiving\",\n\t\t\tKeys.Cleanup.RootDir,\n\t\t\tfalse,\n\t\t)\n\t} else {\n\t\t// Run as Deleter\n\t\tcleanUpWorker(wg, ctx,\n\t\t\tKeys.RetentionInMemory,\n\t\t\t\"deleting\",\n\t\t\t\"\",\n\t\t\ttrue,\n\t\t)\n\t}\n}\n\n// cleanUpWorker takes simple values to configure what it does\nfunc cleanUpWorker(wg *sync.WaitGroup, ctx context.Context, interval string, mode string, cleanupDir string, delete bool) {\n\twg.Go(func() {\n\n\t\td, err := time.ParseDuration(interval)\n\t\tif err != nil {\n\t\t\tcclog.Fatalf(\"[METRICSTORE]> error parsing %s interval duration: %v\\n\", mode, err)\n\t\t}\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(d)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tt := time.Now().Add(-d)\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start %s checkpoints (older than %s)...\", mode, t.Format(time.RFC3339))\n\n\t\t\t\tn, err := CleanupCheckpoints(Keys.Checkpoints.RootDir, cleanupDir, t.Unix(), delete)\n\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> %s failed: %s\", mode, err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tif delete {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoints deleted\", n)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files archived to parquet\", n)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\nvar ErrNoNewArchiveData error = errors.New(\"all data already archived\")\n\n// CleanupCheckpoints deletes or archives all checkpoint files older than `from`.\n// When archiving, consolidates all hosts per cluster into a single Parquet file.\nfunc CleanupCheckpoints(checkpointsDir, cleanupDir string, from int64, deleteInstead bool) (int, error) {\n\tif deleteInstead {\n\t\treturn deleteCheckpoints(checkpointsDir, from)\n\t}\n\n\treturn archiveCheckpoints(checkpointsDir, cleanupDir, from)\n}\n\n// deleteCheckpoints removes checkpoint files older than `from` across all clusters/hosts.\nfunc deleteCheckpoints(checkpointsDir string, from int64) (int, error) {\n\tentries1, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttype workItem struct {\n\t\tdir            string\n\t\tcluster, host  string\n\t}\n\n\tvar wg sync.WaitGroup\n\tn, errs := int32(0), int32(0)\n\twork := make(chan workItem, Keys.NumWorkers)\n\n\twg.Add(Keys.NumWorkers)\n\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor item := range work {\n\t\t\t\tentries, err := os.ReadDir(item.dir)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"error reading %s/%s: %s\", item.cluster, item.host, err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tfiles, err := findFiles(entries, from, false)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"error finding files in %s/%s: %s\", item.cluster, item.host, err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tfor _, checkpoint := range files {\n\t\t\t\t\tif err := os.Remove(filepath.Join(item.dir, checkpoint)); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"error deleting %s/%s/%s: %s\", item.cluster, item.host, checkpoint, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor _, de1 := range entries1 {\n\t\tentries2, e := os.ReadDir(filepath.Join(checkpointsDir, de1.Name()))\n\t\tif e != nil {\n\t\t\terr = e\n\t\t\tcontinue\n\t\t}\n\n\t\tfor _, de2 := range entries2 {\n\t\t\twork <- workItem{\n\t\t\t\tdir:     filepath.Join(checkpointsDir, de1.Name(), de2.Name()),\n\t\t\t\tcluster: de1.Name(),\n\t\t\t\thost:    de2.Name(),\n\t\t\t}\n\t\t}\n\t}\n\n\tclose(work)\n\twg.Wait()\n\n\tif err != nil {\n\t\treturn int(n), err\n\t}\n\tif errs > 0 {\n\t\treturn int(n), fmt.Errorf(\"%d errors happened while deleting (%d successes)\", errs, n)\n\t}\n\treturn int(n), nil\n}\n\n// archiveCheckpoints archives checkpoint files to Parquet format.\n// Produces one Parquet file per cluster: <cleanupDir>/<cluster>/<timestamp>.parquet\n// Each host's rows are written as a separate row group to avoid accumulating\n// all data in memory at once.\nfunc archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n\tcclog.Info(\"[METRICSTORE]> start archiving checkpoints to parquet\")\n\tstartTime := time.Now()\n\n\tclusterEntries, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttotalFiles := 0\n\n\tfor _, clusterEntry := range clusterEntries {\n\t\tif !clusterEntry.IsDir() {\n\t\t\tcontinue\n\t\t}\n\n\t\tcluster := clusterEntry.Name()\n\t\thostEntries, err := os.ReadDir(filepath.Join(checkpointsDir, cluster))\n\t\tif err != nil {\n\t\t\treturn totalFiles, err\n\t\t}\n\n\t\t// Stream per-host rows to parquet writer via worker pool\n\t\ttype hostResult struct {\n\t\t\trows  []ParquetMetricRow\n\t\t\tfiles []string // checkpoint filenames to delete after successful write\n\t\t\tdir   string   // checkpoint directory for this host\n\t\t}\n\n\t\tresults := make(chan hostResult, len(hostEntries))\n\t\twork := make(chan struct {\n\t\t\tdir, host string\n\t\t}, Keys.NumWorkers)\n\n\t\tvar wg sync.WaitGroup\n\t\terrs := int32(0)\n\n\t\twg.Add(Keys.NumWorkers)\n\t\tfor w := 0; w < Keys.NumWorkers; w++ {\n\t\t\tgo func() {\n\t\t\t\tdefer wg.Done()\n\t\t\t\tfor item := range work {\n\t\t\t\t\trows, files, err := archiveCheckpointsToParquet(item.dir, cluster, item.host, from)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tif len(rows) > 0 {\n\t\t\t\t\t\tresults <- hostResult{rows: rows, files: files, dir: item.dir}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\t\t}\n\n\t\tgo func() {\n\t\t\tfor _, hostEntry := range hostEntries {\n\t\t\t\tif !hostEntry.IsDir() {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tdir := filepath.Join(checkpointsDir, cluster, hostEntry.Name())\n\t\t\t\twork <- struct {\n\t\t\t\t\tdir, host string\n\t\t\t\t}{dir: dir, host: hostEntry.Name()}\n\t\t\t}\n\t\t\tclose(work)\n\t\t\twg.Wait()\n\t\t\tclose(results)\n\t\t}()\n\n\t\t// Open streaming writer and write each host's rows as a row group\n\t\tparquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))\n\t\twriter, err := newParquetArchiveWriter(parquetFile)\n\t\tif err != nil {\n\t\t\t// Drain results channel to unblock workers\n\t\t\tfor range results {\n\t\t\t}\n\t\t\treturn totalFiles, fmt.Errorf(\"creating parquet writer for cluster %s: %w\", cluster, err)\n\t\t}\n\n\t\ttype deleteItem struct {\n\t\t\tdir   string\n\t\t\tfiles []string\n\t\t}\n\t\tvar toDelete []deleteItem\n\t\twriteErr := error(nil)\n\n\t\tfor r := range results {\n\t\t\tif writeErr == nil {\n\t\t\t\tsortParquetRows(r.rows)\n\t\t\t\tif err := writer.WriteHostRows(r.rows); err != nil {\n\t\t\t\t\twriteErr = err\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Always track files for deletion (even if write failed, we still drain)\n\t\t\ttoDelete = append(toDelete, deleteItem{dir: r.dir, files: r.files})\n\t\t}\n\n\t\tif err := writer.Close(); err != nil && writeErr == nil {\n\t\t\twriteErr = err\n\t\t}\n\n\t\tif errs > 0 {\n\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n\t\t}\n\n\t\tif writer.count == 0 {\n\t\t\t// No data written — remove empty file\n\t\t\tos.Remove(parquetFile)\n\t\t\tcontinue\n\t\t}\n\n\t\tif writeErr != nil {\n\t\t\tos.Remove(parquetFile)\n\t\t\treturn totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, writeErr)\n\t\t}\n\n\t\t// Delete archived checkpoint files\n\t\tfor _, item := range toDelete {\n\t\t\tfor _, file := range item.files {\n\t\t\t\tfilename := filepath.Join(item.dir, file)\n\t\t\t\tif err := os.Remove(filename); err != nil {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n\t\t\t\t} else {\n\t\t\t\t\ttotalFiles++\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n\t\t\twriter.count, totalFiles, cluster, parquetFile)\n\t}\n\n\tcclog.Infof(\"[METRICSTORE]> archiving checkpoints completed in %s (%d files)\", time.Since(startTime).Round(time.Millisecond), totalFiles)\n\treturn totalFiles, nil\n}\n","numLines":309,"startLine":1,"totalLines":309}},"sourceToolAssistantUUID":"ae97c95b-e5a7-4b02-89b3-a4140052038a","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"ca36eb3e-bede-40f6-9e44-1f9cadea21ae","version":"2.1.78","gitBranch":"hotfix","slug":"transient-jingling-storm"}
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+{"parentUuid":"3bbcb6a4-a634-4b51-9436-c5a60c9e1ba6","isSidechain":false,"promptId":"a0100614-6c1c-4f22-9718-4c52a4866f7f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HHZhUBxnJDjXdne8kq2jNP","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package metricstore\n     7→\n     8→import (\n     9→\t\"bufio\"\n    10→\t\"encoding/binary\"\n    11→\t\"encoding/json\"\n    12→\t\"fmt\"\n    13→\t\"os\"\n    14→\t\"path/filepath\"\n    15→\t\"sort\"\n    16→\n    17→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    18→\tpq \"github.com/parquet-go/parquet-go\"\n    19→)\n    20→\n    21→// ParquetMetricRow is the long-format schema for archived metric data.\n    22→// One row per (host, metric, scope, scope_id, timestamp) data point.\n    23→// Sorted by (cluster, hostname, metric, timestamp) for optimal compression.\n    24→type ParquetMetricRow struct {\n    25→\tCluster   string  `parquet:\"cluster\"`\n    26→\tHostname  string  `parquet:\"hostname\"`\n    27→\tMetric    string  `parquet:\"metric\"`\n    28→\tScope     string  `parquet:\"scope\"`\n    29→\tScopeID   string  `parquet:\"scope_id\"`\n    30→\tTimestamp int64   `parquet:\"timestamp\"`\n    31→\tFrequency int64   `parquet:\"frequency\"`\n    32→\tValue     float32 `parquet:\"value\"`\n    33→}\n    34→\n    35→// flattenCheckpointFile recursively converts a CheckpointFile tree into Parquet rows.\n    36→// The scope path is built from the hierarchy: host level is \"node\", then child names\n    37→// map to scope/scope_id (e.g., \"socket0\" → scope=\"socket\", scope_id=\"0\").\n    38→func flattenCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string, rows []ParquetMetricRow) []ParquetMetricRow {\n    39→\tfor metricName, cm := range cf.Metrics {\n    40→\t\tts := cm.Start\n    41→\t\tfor _, v := range cm.Data {\n    42→\t\t\tif !v.IsNaN() {\n    43→\t\t\t\trows = append(rows, ParquetMetricRow{\n    44→\t\t\t\t\tCluster:   cluster,\n    45→\t\t\t\t\tHostname:  hostname,\n    46→\t\t\t\t\tMetric:    metricName,\n    47→\t\t\t\t\tScope:     scope,\n    48→\t\t\t\t\tScopeID:   scopeID,\n    49→\t\t\t\t\tTimestamp: ts,\n    50→\t\t\t\t\tFrequency: cm.Frequency,\n    51→\t\t\t\t\tValue:     float32(v),\n    52→\t\t\t\t})\n    53→\t\t\t}\n    54→\t\t\tts += cm.Frequency\n    55→\t\t}\n    56→\t}\n    57→\n    58→\tfor childName, childCf := range cf.Children {\n    59→\t\tchildScope, childScopeID := parseScopeFromName(childName)\n    60→\t\trows = flattenCheckpointFile(childCf, cluster, hostname, childScope, childScopeID, rows)\n    61→\t}\n    62→\n    63→\treturn rows\n    64→}\n    65→\n    66→// parseScopeFromName infers scope and scope_id from a child level name.\n    67→// Examples: \"socket0\" → (\"socket\", \"0\"), \"core12\" → (\"core\", \"12\"),\n    68→// \"a0\" (accelerator) → (\"accelerator\", \"0\").\n    69→// If the name doesn't match known patterns, it's used as-is for scope with empty scope_id.\n    70→func parseScopeFromName(name string) (string, string) {\n    71→\tprefixes := []struct {\n    72→\t\tprefix string\n    73→\t\tscope  string\n    74→\t}{\n    75→\t\t{\"socket\", \"socket\"},\n    76→\t\t{\"memoryDomain\", \"memoryDomain\"},\n    77→\t\t{\"core\", \"core\"},\n    78→\t\t{\"hwthread\", \"hwthread\"},\n    79→\t\t{\"cpu\", \"hwthread\"},\n    80→\t\t{\"accelerator\", \"accelerator\"},\n    81→\t}\n    82→\n    83→\tfor _, p := range prefixes {\n    84→\t\tif len(name) > len(p.prefix) && name[:len(p.prefix)] == p.prefix {\n    85→\t\t\tid := name[len(p.prefix):]\n    86→\t\t\tif len(id) > 0 && id[0] >= '0' && id[0] <= '9' {\n    87→\t\t\t\treturn p.scope, id\n    88→\t\t\t}\n    89→\t\t}\n    90→\t}\n    91→\n    92→\treturn name, \"\"\n    93→}\n    94→\n    95→// parquetArchiveWriter supports incremental writes to a Parquet file.\n    96→// Each call to WriteHostRows writes one row group (typically one host's data),\n    97→// avoiding accumulation of all rows in memory.\n    98→type parquetArchiveWriter struct {\n    99→\twriter *pq.GenericWriter[ParquetMetricRow]\n   100→\tbw     *bufio.Writer\n   101→\tf      *os.File\n   102→\tcount  int\n   103→}\n   104→\n   105→// newParquetArchiveWriter creates a streaming Parquet writer with Zstd compression.\n   106→func newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error) {\n   107→\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n   108→\t\treturn nil, fmt.Errorf(\"creating archive directory: %w\", err)\n   109→\t}\n   110→\n   111→\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n   112→\tif err != nil {\n   113→\t\treturn nil, fmt.Errorf(\"creating parquet file: %w\", err)\n   114→\t}\n   115→\n   116→\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n   117→\n   118→\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n   119→\t\tpq.Compression(&pq.Zstd),\n   120→\t)\n   121→\n   122→\treturn &parquetArchiveWriter{writer: writer, bw: bw, f: f}, nil\n   123→}\n   124→\n   125→// WriteHostRows sorts rows by (metric, timestamp) in-place, writes them,\n   126→// and flushes to create a separate row group.\n   127→func (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error {\n   128→\tsort.Slice(rows, func(i, j int) bool {\n   129→\t\tif rows[i].Metric != rows[j].Metric {\n   130→\t\t\treturn rows[i].Metric < rows[j].Metric\n   131→\t\t}\n   132→\t\treturn rows[i].Timestamp < rows[j].Timestamp\n   133→\t})\n   134→\n   135→\tif _, err := w.writer.Write(rows); err != nil {\n   136→\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n   137→\t}\n   138→\n   139→\tif err := w.writer.Flush(); err != nil {\n   140→\t\treturn fmt.Errorf(\"flushing parquet row group: %w\", err)\n   141→\t}\n   142→\n   143→\tw.count += len(rows)\n   144→\treturn nil\n   145→}\n   146→\n   147→// Close finalises the Parquet file (footer, buffered I/O, file handle).\n   148→func (w *parquetArchiveWriter) Close() error {\n   149→\tif err := w.writer.Close(); err != nil {\n   150→\t\tw.f.Close()\n   151→\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n   152→\t}\n   153→\n   154→\tif err := w.bw.Flush(); err != nil {\n   155→\t\tw.f.Close()\n   156→\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n   157→\t}\n   158→\n   159→\treturn w.f.Close()\n   160→}\n   161→\n   162→// sortParquetRows sorts rows by (metric, timestamp) in-place.\n   163→func sortParquetRows(rows []ParquetMetricRow) {\n   164→\tsort.Slice(rows, func(i, j int) bool {\n   165→\t\tif rows[i].Metric != rows[j].Metric {\n   166→\t\t\treturn rows[i].Metric < rows[j].Metric\n   167→\t\t}\n   168→\t\treturn rows[i].Timestamp < rows[j].Timestamp\n   169→\t})\n   170→}\n   171→\n   172→// loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns\n   173→// a CheckpointFile. Used by the Parquet archiver to read checkpoint data\n   174→// before converting it to Parquet format.\n   175→func loadCheckpointFileFromDisk(filename string) (*CheckpointFile, error) {\n   176→\tf, err := os.Open(filename)\n   177→\tif err != nil {\n   178→\t\treturn nil, err\n   179→\t}\n   180→\tdefer f.Close()\n   181→\n   182→\text := filepath.Ext(filename)\n   183→\tswitch ext {\n   184→\tcase \".json\":\n   185→\t\tcf := &CheckpointFile{}\n   186→\t\tbr := bufio.NewReader(f)\n   187→\t\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n   188→\t\t\treturn nil, fmt.Errorf(\"decoding JSON checkpoint %s: %w\", filename, err)\n   189→\t\t}\n   190→\t\treturn cf, nil\n   191→\n   192→\tcase \".bin\":\n   193→\t\tbr := bufio.NewReader(f)\n   194→\t\tvar magic uint32\n   195→\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n   196→\t\t\treturn nil, fmt.Errorf(\"reading magic from %s: %w\", filename, err)\n   197→\t\t}\n   198→\t\tif magic != snapFileMagic {\n   199→\t\t\treturn nil, fmt.Errorf(\"invalid snapshot magic in %s: 0x%08X\", filename, magic)\n   200→\t\t}\n   201→\t\tvar fileFrom, fileTo int64\n   202→\t\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n   203→\t\t\treturn nil, fmt.Errorf(\"reading from-timestamp from %s: %w\", filename, err)\n   204→\t\t}\n   205→\t\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n   206→\t\t\treturn nil, fmt.Errorf(\"reading to-timestamp from %s: %w\", filename, err)\n   207→\t\t}\n   208→\t\tcf, err := readBinaryLevel(br)\n   209→\t\tif err != nil {\n   210→\t\t\treturn nil, fmt.Errorf(\"reading binary level from %s: %w\", filename, err)\n   211→\t\t}\n   212→\t\tcf.From = fileFrom\n   213→\t\tcf.To = fileTo\n   214→\t\treturn cf, nil\n   215→\n   216→\tdefault:\n   217→\t\treturn nil, fmt.Errorf(\"unsupported checkpoint extension: %s\", ext)\n   218→\t}\n   219→}\n   220→\n   221→// estimateRowCount estimates the number of Parquet rows a CheckpointFile will produce.\n   222→// Used for pre-allocating the rows slice to avoid repeated append doubling.\n   223→func estimateRowCount(cf *CheckpointFile) int {\n   224→\tn := 0\n   225→\tfor _, cm := range cf.Metrics {\n   226→\t\tn += len(cm.Data)\n   227→\t}\n   228→\tfor _, child := range cf.Children {\n   229→\t\tn += estimateRowCount(child)\n   230→\t}\n   231→\treturn n\n   232→}\n   233→\n   234→// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n   235→// converts them to Parquet rows. Returns the rows and filenames that were processed.\n   236→func archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n   237→\tentries, err := os.ReadDir(dir)\n   238→\tif err != nil {\n   239→\t\treturn nil, nil, err\n   240→\t}\n   241→\n   242→\tfiles, err := findFiles(entries, from, false)\n   243→\tif err != nil {\n   244→\t\treturn nil, nil, err\n   245→\t}\n   246→\n   247→\tif len(files) == 0 {\n   248→\t\treturn nil, nil, nil\n   249→\t}\n   250→\n   251→\t// First pass: load checkpoints and estimate total rows for pre-allocation.\n   252→\ttype loaded struct {\n   253→\t\tcf       *CheckpointFile\n   254→\t\tfilename string\n   255→\t}\n   256→\tvar checkpoints []loaded\n   257→\ttotalEstimate := 0\n   258→\n   259→\tfor _, checkpoint := range files {\n   260→\t\tfilename := filepath.Join(dir, checkpoint)\n   261→\t\tcf, err := loadCheckpointFileFromDisk(filename)\n   262→\t\tif err != nil {\n   263→\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n   264→\t\t\tcontinue\n   265→\t\t}\n   266→\t\ttotalEstimate += estimateRowCount(cf)\n   267→\t\tcheckpoints = append(checkpoints, loaded{cf: cf, filename: checkpoint})\n   268→\t}\n   269→\n   270→\tif len(checkpoints) == 0 {\n   271→\t\treturn nil, nil, nil\n   272→\t}\n   273→\n   274→\trows := make([]ParquetMetricRow, 0, totalEstimate)\n   275→\tprocessedFiles := make([]string, 0, len(checkpoints))\n   276→\n   277→\tfor _, cp := range checkpoints {\n   278→\t\trows = flattenCheckpointFile(cp.cf, cluster, host, \"node\", \"\", rows)\n   279→\t\tprocessedFiles = append(processedFiles, cp.filename)\n   280→\t}\n   281→\n   282→\treturn rows, processedFiles, nil\n   283→}\n   284→"}]},"uuid":"e65023e1-0390-401a-947b-60c46795aa40","timestamp":"2026-03-18T16:26:51.827Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/parquetArchive.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"encoding/binary\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"sort\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\n// ParquetMetricRow is the long-format schema for archived metric data.\n// One row per (host, metric, scope, scope_id, timestamp) data point.\n// Sorted by (cluster, hostname, metric, timestamp) for optimal compression.\ntype ParquetMetricRow struct {\n\tCluster   string  `parquet:\"cluster\"`\n\tHostname  string  `parquet:\"hostname\"`\n\tMetric    string  `parquet:\"metric\"`\n\tScope     string  `parquet:\"scope\"`\n\tScopeID   string  `parquet:\"scope_id\"`\n\tTimestamp int64   `parquet:\"timestamp\"`\n\tFrequency int64   `parquet:\"frequency\"`\n\tValue     float32 `parquet:\"value\"`\n}\n\n// flattenCheckpointFile recursively converts a CheckpointFile tree into Parquet rows.\n// The scope path is built from the hierarchy: host level is \"node\", then child names\n// map to scope/scope_id (e.g., \"socket0\" → scope=\"socket\", scope_id=\"0\").\nfunc flattenCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string, rows []ParquetMetricRow) []ParquetMetricRow {\n\tfor metricName, cm := range cf.Metrics {\n\t\tts := cm.Start\n\t\tfor _, v := range cm.Data {\n\t\t\tif !v.IsNaN() {\n\t\t\t\trows = append(rows, ParquetMetricRow{\n\t\t\t\t\tCluster:   cluster,\n\t\t\t\t\tHostname:  hostname,\n\t\t\t\t\tMetric:    metricName,\n\t\t\t\t\tScope:     scope,\n\t\t\t\t\tScopeID:   scopeID,\n\t\t\t\t\tTimestamp: ts,\n\t\t\t\t\tFrequency: cm.Frequency,\n\t\t\t\t\tValue:     float32(v),\n\t\t\t\t})\n\t\t\t}\n\t\t\tts += cm.Frequency\n\t\t}\n\t}\n\n\tfor childName, childCf := range cf.Children {\n\t\tchildScope, childScopeID := parseScopeFromName(childName)\n\t\trows = flattenCheckpointFile(childCf, cluster, hostname, childScope, childScopeID, rows)\n\t}\n\n\treturn rows\n}\n\n// parseScopeFromName infers scope and scope_id from a child level name.\n// Examples: \"socket0\" → (\"socket\", \"0\"), \"core12\" → (\"core\", \"12\"),\n// \"a0\" (accelerator) → (\"accelerator\", \"0\").\n// If the name doesn't match known patterns, it's used as-is for scope with empty scope_id.\nfunc parseScopeFromName(name string) (string, string) {\n\tprefixes := []struct {\n\t\tprefix string\n\t\tscope  string\n\t}{\n\t\t{\"socket\", \"socket\"},\n\t\t{\"memoryDomain\", \"memoryDomain\"},\n\t\t{\"core\", \"core\"},\n\t\t{\"hwthread\", \"hwthread\"},\n\t\t{\"cpu\", \"hwthread\"},\n\t\t{\"accelerator\", \"accelerator\"},\n\t}\n\n\tfor _, p := range prefixes {\n\t\tif len(name) > len(p.prefix) && name[:len(p.prefix)] == p.prefix {\n\t\t\tid := name[len(p.prefix):]\n\t\t\tif len(id) > 0 && id[0] >= '0' && id[0] <= '9' {\n\t\t\t\treturn p.scope, id\n\t\t\t}\n\t\t}\n\t}\n\n\treturn name, \"\"\n}\n\n// parquetArchiveWriter supports incremental writes to a Parquet file.\n// Each call to WriteHostRows writes one row group (typically one host's data),\n// avoiding accumulation of all rows in memory.\ntype parquetArchiveWriter struct {\n\twriter *pq.GenericWriter[ParquetMetricRow]\n\tbw     *bufio.Writer\n\tf      *os.File\n\tcount  int\n}\n\n// newParquetArchiveWriter creates a streaming Parquet writer with Zstd compression.\nfunc newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error) {\n\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n\t\treturn nil, fmt.Errorf(\"creating archive directory: %w\", err)\n\t}\n\n\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn nil, fmt.Errorf(\"creating parquet file: %w\", err)\n\t}\n\n\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n\n\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n\t\tpq.Compression(&pq.Zstd),\n\t)\n\n\treturn &parquetArchiveWriter{writer: writer, bw: bw, f: f}, nil\n}\n\n// WriteHostRows sorts rows by (metric, timestamp) in-place, writes them,\n// and flushes to create a separate row group.\nfunc (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error {\n\tsort.Slice(rows, func(i, j int) bool {\n\t\tif rows[i].Metric != rows[j].Metric {\n\t\t\treturn rows[i].Metric < rows[j].Metric\n\t\t}\n\t\treturn rows[i].Timestamp < rows[j].Timestamp\n\t})\n\n\tif _, err := w.writer.Write(rows); err != nil {\n\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n\t}\n\n\tif err := w.writer.Flush(); err != nil {\n\t\treturn fmt.Errorf(\"flushing parquet row group: %w\", err)\n\t}\n\n\tw.count += len(rows)\n\treturn nil\n}\n\n// Close finalises the Parquet file (footer, buffered I/O, file handle).\nfunc (w *parquetArchiveWriter) Close() error {\n\tif err := w.writer.Close(); err != nil {\n\t\tw.f.Close()\n\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n\t}\n\n\tif err := w.bw.Flush(); err != nil {\n\t\tw.f.Close()\n\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n\t}\n\n\treturn w.f.Close()\n}\n\n// sortParquetRows sorts rows by (metric, timestamp) in-place.\nfunc sortParquetRows(rows []ParquetMetricRow) {\n\tsort.Slice(rows, func(i, j int) bool {\n\t\tif rows[i].Metric != rows[j].Metric {\n\t\t\treturn rows[i].Metric < rows[j].Metric\n\t\t}\n\t\treturn rows[i].Timestamp < rows[j].Timestamp\n\t})\n}\n\n// loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns\n// a CheckpointFile. Used by the Parquet archiver to read checkpoint data\n// before converting it to Parquet format.\nfunc loadCheckpointFileFromDisk(filename string) (*CheckpointFile, error) {\n\tf, err := os.Open(filename)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer f.Close()\n\n\text := filepath.Ext(filename)\n\tswitch ext {\n\tcase \".json\":\n\t\tcf := &CheckpointFile{}\n\t\tbr := bufio.NewReader(f)\n\t\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"decoding JSON checkpoint %s: %w\", filename, err)\n\t\t}\n\t\treturn cf, nil\n\n\tcase \".bin\":\n\t\tbr := bufio.NewReader(f)\n\t\tvar magic uint32\n\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading magic from %s: %w\", filename, err)\n\t\t}\n\t\tif magic != snapFileMagic {\n\t\t\treturn nil, fmt.Errorf(\"invalid snapshot magic in %s: 0x%08X\", filename, magic)\n\t\t}\n\t\tvar fileFrom, fileTo int64\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading from-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading to-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tcf, err := readBinaryLevel(br)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading binary level from %s: %w\", filename, err)\n\t\t}\n\t\tcf.From = fileFrom\n\t\tcf.To = fileTo\n\t\treturn cf, nil\n\n\tdefault:\n\t\treturn nil, fmt.Errorf(\"unsupported checkpoint extension: %s\", ext)\n\t}\n}\n\n// estimateRowCount estimates the number of Parquet rows a CheckpointFile will produce.\n// Used for pre-allocating the rows slice to avoid repeated append doubling.\nfunc estimateRowCount(cf *CheckpointFile) int {\n\tn := 0\n\tfor _, cm := range cf.Metrics {\n\t\tn += len(cm.Data)\n\t}\n\tfor _, child := range cf.Children {\n\t\tn += estimateRowCount(child)\n\t}\n\treturn n\n}\n\n// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n// converts them to Parquet rows. Returns the rows and filenames that were processed.\nfunc archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n\tentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tfiles, err := findFiles(entries, from, false)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tif len(files) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\t// First pass: load checkpoints and estimate total rows for pre-allocation.\n\ttype loaded struct {\n\t\tcf       *CheckpointFile\n\t\tfilename string\n\t}\n\tvar checkpoints []loaded\n\ttotalEstimate := 0\n\n\tfor _, checkpoint := range files {\n\t\tfilename := filepath.Join(dir, checkpoint)\n\t\tcf, err := loadCheckpointFileFromDisk(filename)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n\t\t\tcontinue\n\t\t}\n\t\ttotalEstimate += estimateRowCount(cf)\n\t\tcheckpoints = append(checkpoints, loaded{cf: cf, filename: checkpoint})\n\t}\n\n\tif len(checkpoints) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\trows := make([]ParquetMetricRow, 0, totalEstimate)\n\tprocessedFiles := make([]string, 0, len(checkpoints))\n\n\tfor _, cp := range checkpoints {\n\t\trows = flattenCheckpointFile(cp.cf, cluster, host, \"node\", \"\", rows)\n\t\tprocessedFiles = append(processedFiles, cp.filename)\n\t}\n\n\treturn rows, processedFiles, nil\n}\n","numLines":284,"startLine":1,"totalLines":284}},"sourceToolAssistantUUID":"3bbcb6a4-a634-4b51-9436-c5a60c9e1ba6","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"ca36eb3e-bede-40f6-9e44-1f9cadea21ae","version":"2.1.78","gitBranch":"hotfix","slug":"transient-jingling-storm"}
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+{"parentUuid":"753193f9-d642-4db4-b800-6766bb8b809d","isSidechain":false,"promptId":"a0100614-6c1c-4f22-9718-4c52a4866f7f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DuCQkAbyP1erqKSVB94rR7","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// This file implements checkpoint persistence for the in-memory metric store.\n     7→//\n     8→// Checkpoints enable graceful restarts by periodically saving in-memory metric\n     9→// data to disk in JSON or binary format. The checkpoint system:\n    10→//\n    11→// Key Features:\n    12→//   - Periodic background checkpointing via the Checkpointing() worker\n    13→//   - Two format families: JSON (human-readable) and WAL+binary (compact, crash-safe)\n    14→//   - Parallel checkpoint creation and loading using worker pools\n    15→//   - Hierarchical file organization: checkpoint_dir/cluster/host/timestamp.{json|bin}\n    16→//   - WAL file: checkpoint_dir/cluster/host/current.wal (append-only, per-entry)\n    17→//   - Only saves unarchived data (archived data is already persisted elsewhere)\n    18→//   - GC optimization during loading to prevent excessive heap growth\n    19→//\n    20→// Checkpoint Workflow:\n    21→//  1. Init() loads checkpoints within retention window at startup\n    22→//  2. Checkpointing() worker periodically saves new data\n    23→//  3. Shutdown() writes final checkpoint before exit\n    24→//\n    25→// File Organization:\n    26→//\n    27→//\tcheckpoints/\n    28→//\t  cluster1/\n    29→//\t    host001/\n    30→//\t      1234567890.json  (JSON format: full subtree snapshot)\n    31→//\t      1234567890.bin   (binary format: full subtree snapshot)\n    32→//\t      current.wal      (WAL format: append-only per-entry log)\n    33→//\t    host002/\n    34→//\t      ...\n    35→package metricstore\n    36→\n    37→import (\n    38→\t\"bufio\"\n    39→\t\"context\"\n    40→\t\"encoding/json\"\n    41→\t\"errors\"\n    42→\t\"fmt\"\n    43→\t\"io/fs\"\n    44→\t\"os\"\n    45→\t\"path\"\n    46→\t\"path/filepath\"\n    47→\t\"sort\"\n    48→\t\"strconv\"\n    49→\t\"strings\"\n    50→\t\"sync\"\n    51→\t\"sync/atomic\"\n    52→\t\"time\"\n    53→\n    54→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    55→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    56→)\n    57→\n    58→const (\n    59→\tCheckpointFilePerms = 0o644                    // File permissions for checkpoint files\n    60→\tCheckpointDirPerms  = 0o755                    // Directory permissions for checkpoint directories\n    61→\tGCTriggerInterval   = DefaultGCTriggerInterval // Interval for triggering GC during checkpoint loading\n    62→)\n    63→\n    64→// CheckpointMetrics represents metric data in a checkpoint file.\n    65→// Whenever the structure changes, update MarshalJSON as well!\n    66→type CheckpointMetrics struct {\n    67→\tData      []schema.Float `json:\"data\"`\n    68→\tFrequency int64          `json:\"frequency\"`\n    69→\tStart     int64          `json:\"start\"`\n    70→}\n    71→\n    72→// CheckpointFile represents the hierarchical structure of a checkpoint file.\n    73→// It mirrors the Level tree structure from the MemoryStore.\n    74→type CheckpointFile struct {\n    75→\tMetrics  map[string]*CheckpointMetrics `json:\"metrics\"`\n    76→\tChildren map[string]*CheckpointFile    `json:\"children\"`\n    77→\tFrom     int64                         `json:\"from\"`\n    78→\tTo       int64                         `json:\"to\"`\n    79→}\n    80→\n    81→// lastCheckpoint tracks the timestamp of the last checkpoint creation.\n    82→var (\n    83→\tlastCheckpoint   time.Time\n    84→\tlastCheckpointMu sync.Mutex\n    85→)\n    86→\n    87→// Checkpointing starts a background worker that periodically saves metric data to disk.\n    88→//\n    89→// Checkpoints are written every 12 hours (hardcoded).\n    90→//\n    91→// Format behaviour:\n    92→//   - \"json\": Periodic checkpointing every checkpointInterval\n    93→//   - \"wal\":  Periodic binary snapshots + WAL rotation every checkpointInterval\n    94→func Checkpointing(wg *sync.WaitGroup, ctx context.Context) {\n    95→\tlastCheckpointMu.Lock()\n    96→\tlastCheckpoint = time.Now()\n    97→\tlastCheckpointMu.Unlock()\n    98→\n    99→\tms := GetMemoryStore()\n   100→\n   101→\twg.Go(func() {\n   102→\n   103→\t\td := 12 * time.Hour // default checkpoint interval\n   104→\t\tif Keys.CheckpointInterval != \"\" {\n   105→\t\t\tparsed, err := time.ParseDuration(Keys.CheckpointInterval)\n   106→\t\t\tif err != nil {\n   107→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> invalid checkpoint-interval %q: %s, using default 12h\", Keys.CheckpointInterval, err)\n   108→\t\t\t} else {\n   109→\t\t\t\td = parsed\n   110→\t\t\t}\n   111→\t\t}\n   112→\n   113→\t\tticker := time.NewTicker(d)\n   114→\t\tdefer ticker.Stop()\n   115→\n   116→\t\tfor {\n   117→\t\t\tselect {\n   118→\t\t\tcase <-ctx.Done():\n   119→\t\t\t\treturn\n   120→\t\t\tcase <-ticker.C:\n   121→\t\t\t\tlastCheckpointMu.Lock()\n   122→\t\t\t\tfrom := lastCheckpoint\n   123→\t\t\t\tlastCheckpointMu.Unlock()\n   124→\n   125→\t\t\t\tnow := time.Now()\n   126→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start checkpointing (starting at %s)...\", from.Format(time.RFC3339))\n   127→\n   128→\t\t\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n   129→\t\t\t\t\tn, hostDirs, err := ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), now.Unix())\n   130→\t\t\t\t\tif err != nil {\n   131→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpointing failed: %s\", err.Error())\n   132→\t\t\t\t\t} else {\n   133→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d binary snapshot files created\", n)\n   134→\t\t\t\t\t\tlastCheckpointMu.Lock()\n   135→\t\t\t\t\t\tlastCheckpoint = now\n   136→\t\t\t\t\t\tlastCheckpointMu.Unlock()\n   137→\t\t\t\t\t\t// Rotate WAL files for successfully checkpointed hosts.\n   138→\t\t\t\t\t\tRotateWALFiles(hostDirs)\n   139→\t\t\t\t\t}\n   140→\t\t\t\t} else {\n   141→\t\t\t\t\tn, err := ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), now.Unix())\n   142→\t\t\t\t\tif err != nil {\n   143→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> checkpointing failed: %s\", err.Error())\n   144→\t\t\t\t\t} else {\n   145→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files created\", n)\n   146→\t\t\t\t\t\tlastCheckpointMu.Lock()\n   147→\t\t\t\t\t\tlastCheckpoint = now\n   148→\t\t\t\t\t\tlastCheckpointMu.Unlock()\n   149→\t\t\t\t\t}\n   150→\t\t\t\t}\n   151→\t\t\t}\n   152→\t\t}\n   153→\t})\n   154→}\n   155→\n   156→// MarshalJSON provides optimized JSON encoding for CheckpointMetrics.\n   157→//\n   158→// Since schema.Float has custom MarshalJSON, serializing []Float has significant overhead.\n   159→// This method manually constructs JSON to avoid allocations and interface conversions.\n   160→func (cm *CheckpointMetrics) MarshalJSON() ([]byte, error) {\n   161→\tbuf := make([]byte, 0, 128+len(cm.Data)*8)\n   162→\tbuf = append(buf, `{\"frequency\":`...)\n   163→\tbuf = strconv.AppendInt(buf, cm.Frequency, 10)\n   164→\tbuf = append(buf, `,\"start\":`...)\n   165→\tbuf = strconv.AppendInt(buf, cm.Start, 10)\n   166→\tbuf = append(buf, `,\"data\":[`...)\n   167→\tfor i, x := range cm.Data {\n   168→\t\tif i != 0 {\n   169→\t\t\tbuf = append(buf, ',')\n   170→\t\t}\n   171→\t\tif x.IsNaN() {\n   172→\t\t\tbuf = append(buf, `null`...)\n   173→\t\t} else {\n   174→\t\t\tbuf = strconv.AppendFloat(buf, float64(x), 'f', 1, 32)\n   175→\t\t}\n   176→\t}\n   177→\tbuf = append(buf, `]}`...)\n   178→\treturn buf, nil\n   179→}\n   180→\n   181→// ToCheckpoint writes metric data to checkpoint files in parallel (JSON format).\n   182→//\n   183→// Metrics at root and cluster levels are skipped. One file per host is created.\n   184→// Uses worker pool (Keys.NumWorkers) for parallel processing. Only locks one host\n   185→// at a time, allowing concurrent writes/reads to other hosts.\n   186→//\n   187→// Returns the number of checkpoint files created and any errors encountered.\n   188→func (m *MemoryStore) ToCheckpoint(dir string, from, to int64) (int, error) {\n   189→\t// Pre-calculate capacity by counting cluster/host pairs\n   190→\tm.root.lock.RLock()\n   191→\ttotalHosts := 0\n   192→\tfor _, l1 := range m.root.children {\n   193→\t\tl1.lock.RLock()\n   194→\t\ttotalHosts += len(l1.children)\n   195→\t\tl1.lock.RUnlock()\n   196→\t}\n   197→\tm.root.lock.RUnlock()\n   198→\n   199→\tlevels := make([]*Level, 0, totalHosts)\n   200→\tselectors := make([][]string, 0, totalHosts)\n   201→\n   202→\tm.root.lock.RLock()\n   203→\tfor sel1, l1 := range m.root.children {\n   204→\t\tl1.lock.RLock()\n   205→\t\tfor sel2, l2 := range l1.children {\n   206→\t\t\tlevels = append(levels, l2)\n   207→\t\t\tselectors = append(selectors, []string{sel1, sel2})\n   208→\t\t}\n   209→\t\tl1.lock.RUnlock()\n   210→\t}\n   211→\tm.root.lock.RUnlock()\n   212→\n   213→\ttype workItem struct {\n   214→\t\tlevel    *Level\n   215→\t\tdir      string\n   216→\t\tselector []string\n   217→\t}\n   218→\n   219→\tn, errs := int32(0), int32(0)\n   220→\n   221→\tvar wg sync.WaitGroup\n   222→\twg.Add(Keys.NumWorkers)\n   223→\twork := make(chan workItem, Keys.NumWorkers*2)\n   224→\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n   225→\t\tgo func() {\n   226→\t\t\tdefer wg.Done()\n   227→\n   228→\t\t\tfor workItem := range work {\n   229→\t\t\t\tif err := workItem.level.toCheckpoint(workItem.dir, from, to, m); err != nil {\n   230→\t\t\t\t\tif err == ErrNoNewArchiveData {\n   231→\t\t\t\t\t\tcontinue\n   232→\t\t\t\t\t}\n   233→\n   234→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while checkpointing %#v: %s\", workItem.selector, err.Error())\n   235→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   236→\t\t\t\t} else {\n   237→\t\t\t\t\tatomic.AddInt32(&n, 1)\n   238→\t\t\t\t}\n   239→\t\t\t}\n   240→\t\t}()\n   241→\t}\n   242→\n   243→\tfor i := 0; i < len(levels); i++ {\n   244→\t\tdir := path.Join(dir, path.Join(selectors[i]...))\n   245→\t\twork <- workItem{\n   246→\t\t\tlevel:    levels[i],\n   247→\t\t\tdir:      dir,\n   248→\t\t\tselector: selectors[i],\n   249→\t\t}\n   250→\t}\n   251→\n   252→\tclose(work)\n   253→\twg.Wait()\n   254→\n   255→\tif errs > 0 {\n   256→\t\treturn int(n), fmt.Errorf(\"[METRICSTORE]> %d errors happened while creating checkpoints (%d successes)\", errs, n)\n   257→\t}\n   258→\treturn int(n), nil\n   259→}\n   260→\n   261→// toCheckpointFile recursively converts a Level tree to CheckpointFile structure.\n   262→// Skips metrics that are already archived. Returns nil if no unarchived data exists.\n   263→func (l *Level) toCheckpointFile(from, to int64, m *MemoryStore) (*CheckpointFile, error) {\n   264→\tl.lock.RLock()\n   265→\tdefer l.lock.RUnlock()\n   266→\n   267→\tretval := &CheckpointFile{\n   268→\t\tFrom:     from,\n   269→\t\tTo:       to,\n   270→\t\tMetrics:  make(map[string]*CheckpointMetrics),\n   271→\t\tChildren: make(map[string]*CheckpointFile),\n   272→\t}\n   273→\n   274→\tfor metric, minfo := range m.Metrics {\n   275→\t\tb := l.metrics[minfo.offset]\n   276→\t\tif b == nil {\n   277→\t\t\tcontinue\n   278→\t\t}\n   279→\n   280→\t\tallArchived := true\n   281→\t\tb.iterFromTo(from, to, func(b *buffer) error {\n   282→\t\t\tif !b.archived {\n   283→\t\t\t\tallArchived = false\n   284→\t\t\t\treturn fmt.Errorf(\"stop\") // Early termination signal\n   285→\t\t\t}\n   286→\t\t\treturn nil\n   287→\t\t})\n   288→\n   289→\t\tif allArchived {\n   290→\t\t\tcontinue\n   291→\t\t}\n   292→\n   293→\t\tdata := make([]schema.Float, (to-from)/b.frequency+1)\n   294→\t\tdata, start, end, err := b.read(from, to, data)\n   295→\t\tif err != nil {\n   296→\t\t\treturn nil, err\n   297→\t\t}\n   298→\n   299→\t\tfor i := int((end - start) / b.frequency); i < len(data); i++ {\n   300→\t\t\tdata[i] = schema.NaN\n   301→\t\t}\n   302→\n   303→\t\tretval.Metrics[metric] = &CheckpointMetrics{\n   304→\t\t\tFrequency: b.frequency,\n   305→\t\t\tStart:     start,\n   306→\t\t\tData:      data,\n   307→\t\t}\n   308→\t}\n   309→\n   310→\tfor name, child := range l.children {\n   311→\t\tval, err := child.toCheckpointFile(from, to, m)\n   312→\t\tif err != nil {\n   313→\t\t\treturn nil, err\n   314→\t\t}\n   315→\n   316→\t\tif val != nil {\n   317→\t\t\tretval.Children[name] = val\n   318→\t\t}\n   319→\t}\n   320→\n   321→\tif len(retval.Children) == 0 && len(retval.Metrics) == 0 {\n   322→\t\treturn nil, nil\n   323→\t}\n   324→\n   325→\treturn retval, nil\n   326→}\n   327→\n   328→// toCheckpoint writes a Level's data to a JSON checkpoint file.\n   329→// Creates directory if needed. Returns ErrNoNewArchiveData if nothing to save.\n   330→func (l *Level) toCheckpoint(dir string, from, to int64, m *MemoryStore) error {\n   331→\tcf, err := l.toCheckpointFile(from, to, m)\n   332→\tif err != nil {\n   333→\t\treturn err\n   334→\t}\n   335→\n   336→\tif cf == nil {\n   337→\t\treturn ErrNoNewArchiveData\n   338→\t}\n   339→\n   340→\tfilepath := path.Join(dir, fmt.Sprintf(\"%d.json\", from))\n   341→\tf, err := os.OpenFile(filepath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n   342→\tif err != nil && os.IsNotExist(err) {\n   343→\t\terr = os.MkdirAll(dir, CheckpointDirPerms)\n   344→\t\tif err == nil {\n   345→\t\t\tf, err = os.OpenFile(filepath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n   346→\t\t}\n   347→\t}\n   348→\tif err != nil {\n   349→\t\treturn err\n   350→\t}\n   351→\tdefer f.Close()\n   352→\n   353→\tbw := bufio.NewWriter(f)\n   354→\tif err = json.NewEncoder(bw).Encode(cf); err != nil {\n   355→\t\treturn err\n   356→\t}\n   357→\n   358→\treturn bw.Flush()\n   359→}\n   360→\n   361→// enqueueCheckpointHosts traverses checkpoint directory and enqueues cluster/host pairs.\n   362→// Returns error if directory structure is invalid.\n   363→func enqueueCheckpointHosts(dir string, work chan<- [2]string) error {\n   364→\tclustersDir, err := os.ReadDir(dir)\n   365→\tif err != nil {\n   366→\t\treturn err\n   367→\t}\n   368→\n   369→\tfor _, clusterDir := range clustersDir {\n   370→\t\tif !clusterDir.IsDir() {\n   371→\t\t\treturn errors.New(\"[METRICSTORE]> expected only directories at first level of checkpoints/ directory\")\n   372→\t\t}\n   373→\n   374→\t\thostsDir, err := os.ReadDir(filepath.Join(dir, clusterDir.Name()))\n   375→\t\tif err != nil {\n   376→\t\t\treturn err\n   377→\t\t}\n   378→\n   379→\t\tfor _, hostDir := range hostsDir {\n   380→\t\t\tif !hostDir.IsDir() {\n   381→\t\t\t\treturn errors.New(\"[METRICSTORE]> expected only directories at second level of checkpoints/ directory\")\n   382→\t\t\t}\n   383→\n   384→\t\t\twork <- [2]string{clusterDir.Name(), hostDir.Name()}\n   385→\t\t}\n   386→\t}\n   387→\n   388→\treturn nil\n   389→}\n   390→\n   391→// FromCheckpoint loads checkpoint files from disk into memory in parallel.\n   392→//\n   393→// Uses worker pool to load cluster/host combinations. Returns number of files\n   394→// loaded and any errors.\n   395→func (m *MemoryStore) FromCheckpoint(dir string, from int64) (int, error) {\n   396→\tvar wg sync.WaitGroup\n   397→\twork := make(chan [2]string, Keys.NumWorkers*4)\n   398→\tn, errs := int32(0), int32(0)\n   399→\n   400→\twg.Add(Keys.NumWorkers)\n   401→\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n   402→\t\tgo func() {\n   403→\t\t\tdefer wg.Done()\n   404→\t\t\tfor host := range work {\n   405→\t\t\t\tlvl := m.root.findLevelOrCreate(host[:], len(m.Metrics))\n   406→\t\t\t\tnn, err := lvl.fromCheckpoint(m, filepath.Join(dir, host[0], host[1]), from)\n   407→\t\t\t\tif err != nil {\n   408→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while loading checkpoints for %s/%s: %s\", host[0], host[1], err.Error())\n   409→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n   410→\t\t\t\t}\n   411→\t\t\t\tatomic.AddInt32(&n, int32(nn))\n   412→\t\t\t}\n   413→\t\t}()\n   414→\t}\n   415→\n   416→\terr := enqueueCheckpointHosts(dir, work)\n   417→\tclose(work)\n   418→\twg.Wait()\n   419→\n   420→\tif err != nil {\n   421→\t\treturn int(n), err\n   422→\t}\n   423→\n   424→\tif errs > 0 {\n   425→\t\treturn int(n), fmt.Errorf(\"[METRICSTORE]> %d errors happened while creating checkpoints (%d successes)\", errs, n)\n   426→\t}\n   427→\treturn int(n), nil\n   428→}\n   429→\n   430→// FromCheckpointFiles is the main entry point for loading checkpoints at startup.\n   431→//\n   432→// Creates checkpoint directory if it doesn't exist. This function must be called\n   433→// before any writes or reads, and can only be called once.\n   434→func (m *MemoryStore) FromCheckpointFiles(dir string, from int64) (int, error) {\n   435→\tif _, err := os.Stat(dir); os.IsNotExist(err) {\n   436→\t\terr := os.MkdirAll(dir, CheckpointDirPerms)\n   437→\t\tif err != nil {\n   438→\t\t\tcclog.Fatalf(\"[METRICSTORE]> Error creating directory: %#v\\n\", err)\n   439→\t\t}\n   440→\t\tcclog.Debugf(\"[METRICSTORE]> %#v Directory created successfully\", dir)\n   441→\t}\n   442→\n   443→\treturn m.FromCheckpoint(dir, from)\n   444→}\n   445→\n   446→func (l *Level) loadJSONFile(m *MemoryStore, f *os.File, from int64) error {\n   447→\tbr := bufio.NewReader(f)\n   448→\tcf := &CheckpointFile{}\n   449→\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n   450→\t\treturn err\n   451→\t}\n   452→\n   453→\tif cf.To != 0 && cf.To < from {\n   454→\t\treturn nil\n   455→\t}\n   456→\n   457→\tif err := l.loadFile(cf, m); err != nil {\n   458→\t\treturn err\n   459→\t}\n   460→\n   461→\treturn nil\n   462→}\n   463→\n   464→func (l *Level) loadFile(cf *CheckpointFile, m *MemoryStore) error {\n   465→\tfor name, metric := range cf.Metrics {\n   466→\t\tn := len(metric.Data)\n   467→\t\tb := &buffer{\n   468→\t\t\tfrequency: metric.Frequency,\n   469→\t\t\tstart:     metric.Start,\n   470→\t\t\tdata:      metric.Data[0:n:n],\n   471→\t\t\tprev:      nil,\n   472→\t\t\tnext:      nil,\n   473→\t\t\tarchived:  true,\n   474→\t\t}\n   475→\n   476→\t\tminfo, ok := m.Metrics[name]\n   477→\t\tif !ok {\n   478→\t\t\tcontinue\n   479→\t\t}\n   480→\n   481→\t\tprev := l.metrics[minfo.offset]\n   482→\t\tif prev == nil {\n   483→\t\t\tl.metrics[minfo.offset] = b\n   484→\t\t} else {\n   485→\t\t\tif prev.start > b.start {\n   486→\t\t\t\treturn fmt.Errorf(\"[METRICSTORE]> buffer start time %d is before previous buffer start %d\", b.start, prev.start)\n   487→\t\t\t}\n   488→\n   489→\t\t\tb.prev = prev\n   490→\t\t\tprev.next = b\n   491→\t\t}\n   492→\t\tl.metrics[minfo.offset] = b\n   493→\t}\n   494→\n   495→\tif len(cf.Children) > 0 && l.children == nil {\n   496→\t\tl.children = make(map[string]*Level)\n   497→\t}\n   498→\n   499→\tfor sel, childCf := range cf.Children {\n   500→\t\tchild, ok := l.children[sel]\n   501→\t\tif !ok {\n   502→\t\t\tchild = &Level{\n   503→\t\t\t\tmetrics:  make([]*buffer, len(m.Metrics)),\n   504→\t\t\t\tchildren: nil,\n   505→\t\t\t}\n   506→\t\t\tl.children[sel] = child\n   507→\t\t}\n   508→\n   509→\t\tif err := child.loadFile(childCf, m); err != nil {\n   510→\t\t\treturn err\n   511→\t\t}\n   512→\t}\n   513→\n   514→\treturn nil\n   515→}\n   516→\n   517→// fromCheckpoint loads all checkpoint files (JSON, binary snapshot, WAL) for a\n   518→// single host directory. Snapshot files are loaded first (sorted by timestamp),\n   519→// then current.wal is replayed on top.\n   520→func (l *Level) fromCheckpoint(m *MemoryStore, dir string, from int64) (int, error) {\n   521→\tdirentries, err := os.ReadDir(dir)\n   522→\tif err != nil {\n   523→\t\tif os.IsNotExist(err) {\n   524→\t\t\treturn 0, nil\n   525→\t\t}\n   526→\t\treturn 0, err\n   527→\t}\n   528→\n   529→\tallFiles := make([]fs.DirEntry, 0)\n   530→\tvar walEntry fs.DirEntry\n   531→\tfilesLoaded := 0\n   532→\n   533→\tfor _, e := range direntries {\n   534→\t\tif e.IsDir() {\n   535→\t\t\t// Legacy: skip subdirectories (only used by old Avro format).\n   536→\t\t\t// These are ignored; their data is not loaded.\n   537→\t\t\tcclog.Debugf(\"[METRICSTORE]> skipping subdirectory %s in checkpoint dir %s\", e.Name(), dir)\n   538→\t\t\tcontinue\n   539→\t\t}\n   540→\n   541→\t\tname := e.Name()\n   542→\t\tif strings.HasSuffix(name, \".json\") || strings.HasSuffix(name, \".bin\") {\n   543→\t\t\tallFiles = append(allFiles, e)\n   544→\t\t} else if name == \"current.wal\" {\n   545→\t\t\twalEntry = e\n   546→\t\t}\n   547→\t\t// Silently ignore other files (e.g., .tmp, .bin.tmp from interrupted writes).\n   548→\t}\n   549→\n   550→\tfiles, err := findFiles(allFiles, from, true)\n   551→\tif err != nil {\n   552→\t\treturn filesLoaded, err\n   553→\t}\n   554→\n   555→\tloaders := map[string]func(*MemoryStore, *os.File, int64) error{\n   556→\t\t\".json\": l.loadJSONFile,\n   557→\t\t\".bin\":  l.loadBinaryFile,\n   558→\t}\n   559→\n   560→\tfor _, filename := range files {\n   561→\t\text := filepath.Ext(filename)\n   562→\t\tloader := loaders[ext]\n   563→\t\tif loader == nil {\n   564→\t\t\tcclog.Warnf(\"[METRICSTORE]> unknown extension for checkpoint file %s\", filename)\n   565→\t\t\tcontinue\n   566→\t\t}\n   567→\n   568→\t\terr := func() error {\n   569→\t\t\tf, err := os.Open(path.Join(dir, filename))\n   570→\t\t\tif err != nil {\n   571→\t\t\t\treturn err\n   572→\t\t\t}\n   573→\t\t\tdefer f.Close()\n   574→\t\t\treturn loader(m, f, from)\n   575→\t\t}()\n   576→\t\tif err != nil {\n   577→\t\t\treturn filesLoaded, err\n   578→\t\t}\n   579→\t\tfilesLoaded++\n   580→\t}\n   581→\n   582→\t// Replay WAL after all snapshot files so it fills in data since the last snapshot.\n   583→\tif walEntry != nil {\n   584→\t\terr := func() error {\n   585→\t\t\tf, err := os.Open(path.Join(dir, walEntry.Name()))\n   586→\t\t\tif err != nil {\n   587→\t\t\t\treturn err\n   588→\t\t\t}\n   589→\t\t\tdefer f.Close()\n   590→\t\t\treturn l.loadWALFile(m, f, from)\n   591→\t\t}()\n   592→\t\tif err != nil {\n   593→\t\t\t// WAL errors are non-fatal: the snapshot already loaded the bulk of data.\n   594→\t\t\tcclog.Warnf(\"[METRICSTORE]> WAL replay error for %s: %v (data since last snapshot may be missing)\", dir, err)\n   595→\t\t} else {\n   596→\t\t\tfilesLoaded++\n   597→\t\t}\n   598→\t}\n   599→\n   600→\treturn filesLoaded, nil\n   601→}\n   602→\n   603→// parseTimestampFromFilename extracts a Unix timestamp from a checkpoint filename.\n   604→// Supports \".json\" (format: \"<ts>.json\") and \".bin\" (format: \"<ts>.bin\").\n   605→func parseTimestampFromFilename(name string) (int64, error) {\n   606→\tswitch {\n   607→\tcase strings.HasSuffix(name, \".json\"):\n   608→\t\treturn strconv.ParseInt(name[:len(name)-5], 10, 64)\n   609→\tcase strings.HasSuffix(name, \".bin\"):\n   610→\t\treturn strconv.ParseInt(name[:len(name)-4], 10, 64)\n   611→\tdefault:\n   612→\t\treturn 0, fmt.Errorf(\"unknown checkpoint extension for file %q\", name)\n   613→\t}\n   614→}\n   615→\n   616→// findFiles returns filenames from direntries whose timestamps satisfy the filter.\n   617→// If findMoreRecentFiles is true, returns files with timestamps >= t (plus the\n   618→// last file before t if t falls between two files).\n   619→func findFiles(direntries []fs.DirEntry, t int64, findMoreRecentFiles bool) ([]string, error) {\n   620→\tnums := map[string]int64{}\n   621→\tfor _, e := range direntries {\n   622→\t\tname := e.Name()\n   623→\t\tif !strings.HasSuffix(name, \".json\") && !strings.HasSuffix(name, \".bin\") {\n   624→\t\t\tcontinue\n   625→\t\t}\n   626→\n   627→\t\tts, err := parseTimestampFromFilename(name)\n   628→\t\tif err != nil {\n   629→\t\t\treturn nil, err\n   630→\t\t}\n   631→\t\tnums[name] = ts\n   632→\t}\n   633→\n   634→\tsort.Slice(direntries, func(i, j int) bool {\n   635→\t\ta, b := direntries[i], direntries[j]\n   636→\t\treturn nums[a.Name()] < nums[b.Name()]\n   637→\t})\n   638→\n   639→\tif len(nums) == 0 {\n   640→\t\treturn nil, nil\n   641→\t}\n   642→\n   643→\tfilenames := make([]string, 0)\n   644→\n   645→\tfor i, e := range direntries {\n   646→\t\tts1 := nums[e.Name()]\n   647→\n   648→\t\tif findMoreRecentFiles && t <= ts1 {\n   649→\t\t\tfilenames = append(filenames, e.Name())\n   650→\t\t} else if !findMoreRecentFiles && ts1 <= t && ts1 != 0 {\n   651→\t\t\tfilenames = append(filenames, e.Name())\n   652→\t\t}\n   653→\n   654→\t\tif i == len(direntries)-1 {\n   655→\t\t\tcontinue\n   656→\t\t}\n   657→\n   658→\t\tenext := direntries[i+1]\n   659→\t\tts2 := nums[enext.Name()]\n   660→\n   661→\t\tif findMoreRecentFiles {\n   662→\t\t\tif ts1 < t && t < ts2 {\n   663→\t\t\t\tfilenames = append(filenames, e.Name())\n   664→\t\t\t}\n   665→\t\t}\n   666→\t}\n   667→\n   668→\treturn filenames, nil\n   669→}\n   670→"}]},"uuid":"660424d0-712a-407c-8692-b79e8118b8a3","timestamp":"2026-03-18T16:26:52.205Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file implements checkpoint persistence for the in-memory metric store.\n//\n// Checkpoints enable graceful restarts by periodically saving in-memory metric\n// data to disk in JSON or binary format. The checkpoint system:\n//\n// Key Features:\n//   - Periodic background checkpointing via the Checkpointing() worker\n//   - Two format families: JSON (human-readable) and WAL+binary (compact, crash-safe)\n//   - Parallel checkpoint creation and loading using worker pools\n//   - Hierarchical file organization: checkpoint_dir/cluster/host/timestamp.{json|bin}\n//   - WAL file: checkpoint_dir/cluster/host/current.wal (append-only, per-entry)\n//   - Only saves unarchived data (archived data is already persisted elsewhere)\n//   - GC optimization during loading to prevent excessive heap growth\n//\n// Checkpoint Workflow:\n//  1. Init() loads checkpoints within retention window at startup\n//  2. Checkpointing() worker periodically saves new data\n//  3. Shutdown() writes final checkpoint before exit\n//\n// File Organization:\n//\n//\tcheckpoints/\n//\t  cluster1/\n//\t    host001/\n//\t      1234567890.json  (JSON format: full subtree snapshot)\n//\t      1234567890.bin   (binary format: full subtree snapshot)\n//\t      current.wal      (WAL format: append-only per-entry log)\n//\t    host002/\n//\t      ...\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"io/fs\"\n\t\"os\"\n\t\"path\"\n\t\"path/filepath\"\n\t\"sort\"\n\t\"strconv\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\nconst (\n\tCheckpointFilePerms = 0o644                    // File permissions for checkpoint files\n\tCheckpointDirPerms  = 0o755                    // Directory permissions for checkpoint directories\n\tGCTriggerInterval   = DefaultGCTriggerInterval // Interval for triggering GC during checkpoint loading\n)\n\n// CheckpointMetrics represents metric data in a checkpoint file.\n// Whenever the structure changes, update MarshalJSON as well!\ntype CheckpointMetrics struct {\n\tData      []schema.Float `json:\"data\"`\n\tFrequency int64          `json:\"frequency\"`\n\tStart     int64          `json:\"start\"`\n}\n\n// CheckpointFile represents the hierarchical structure of a checkpoint file.\n// It mirrors the Level tree structure from the MemoryStore.\ntype CheckpointFile struct {\n\tMetrics  map[string]*CheckpointMetrics `json:\"metrics\"`\n\tChildren map[string]*CheckpointFile    `json:\"children\"`\n\tFrom     int64                         `json:\"from\"`\n\tTo       int64                         `json:\"to\"`\n}\n\n// lastCheckpoint tracks the timestamp of the last checkpoint creation.\nvar (\n\tlastCheckpoint   time.Time\n\tlastCheckpointMu sync.Mutex\n)\n\n// Checkpointing starts a background worker that periodically saves metric data to disk.\n//\n// Checkpoints are written every 12 hours (hardcoded).\n//\n// Format behaviour:\n//   - \"json\": Periodic checkpointing every checkpointInterval\n//   - \"wal\":  Periodic binary snapshots + WAL rotation every checkpointInterval\nfunc Checkpointing(wg *sync.WaitGroup, ctx context.Context) {\n\tlastCheckpointMu.Lock()\n\tlastCheckpoint = time.Now()\n\tlastCheckpointMu.Unlock()\n\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\n\t\td := 12 * time.Hour // default checkpoint interval\n\t\tif Keys.CheckpointInterval != \"\" {\n\t\t\tparsed, err := time.ParseDuration(Keys.CheckpointInterval)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> invalid checkpoint-interval %q: %s, using default 12h\", Keys.CheckpointInterval, err)\n\t\t\t} else {\n\t\t\t\td = parsed\n\t\t\t}\n\t\t}\n\n\t\tticker := time.NewTicker(d)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tlastCheckpointMu.Lock()\n\t\t\t\tfrom := lastCheckpoint\n\t\t\t\tlastCheckpointMu.Unlock()\n\n\t\t\t\tnow := time.Now()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start checkpointing (starting at %s)...\", from.Format(time.RFC3339))\n\n\t\t\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\t\t\t\tn, hostDirs, err := ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), now.Unix())\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpointing failed: %s\", err.Error())\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d binary snapshot files created\", n)\n\t\t\t\t\t\tlastCheckpointMu.Lock()\n\t\t\t\t\t\tlastCheckpoint = now\n\t\t\t\t\t\tlastCheckpointMu.Unlock()\n\t\t\t\t\t\t// Rotate WAL files for successfully checkpointed hosts.\n\t\t\t\t\t\tRotateWALFiles(hostDirs)\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tn, err := ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), now.Unix())\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> checkpointing failed: %s\", err.Error())\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files created\", n)\n\t\t\t\t\t\tlastCheckpointMu.Lock()\n\t\t\t\t\t\tlastCheckpoint = now\n\t\t\t\t\t\tlastCheckpointMu.Unlock()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\n// MarshalJSON provides optimized JSON encoding for CheckpointMetrics.\n//\n// Since schema.Float has custom MarshalJSON, serializing []Float has significant overhead.\n// This method manually constructs JSON to avoid allocations and interface conversions.\nfunc (cm *CheckpointMetrics) MarshalJSON() ([]byte, error) {\n\tbuf := make([]byte, 0, 128+len(cm.Data)*8)\n\tbuf = append(buf, `{\"frequency\":`...)\n\tbuf = strconv.AppendInt(buf, cm.Frequency, 10)\n\tbuf = append(buf, `,\"start\":`...)\n\tbuf = strconv.AppendInt(buf, cm.Start, 10)\n\tbuf = append(buf, `,\"data\":[`...)\n\tfor i, x := range cm.Data {\n\t\tif i != 0 {\n\t\t\tbuf = append(buf, ',')\n\t\t}\n\t\tif x.IsNaN() {\n\t\t\tbuf = append(buf, `null`...)\n\t\t} else {\n\t\t\tbuf = strconv.AppendFloat(buf, float64(x), 'f', 1, 32)\n\t\t}\n\t}\n\tbuf = append(buf, `]}`...)\n\treturn buf, nil\n}\n\n// ToCheckpoint writes metric data to checkpoint files in parallel (JSON format).\n//\n// Metrics at root and cluster levels are skipped. One file per host is created.\n// Uses worker pool (Keys.NumWorkers) for parallel processing. Only locks one host\n// at a time, allowing concurrent writes/reads to other hosts.\n//\n// Returns the number of checkpoint files created and any errors encountered.\nfunc (m *MemoryStore) ToCheckpoint(dir string, from, to int64) (int, error) {\n\t// Pre-calculate capacity by counting cluster/host pairs\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel    *Level\n\t\tdir      string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\n\t\t\tfor workItem := range work {\n\t\t\t\tif err := workItem.level.toCheckpoint(workItem.dir, from, to, m); err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while checkpointing %#v: %s\", workItem.selector, err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := 0; i < len(levels); i++ {\n\t\tdir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel:    levels[i],\n\t\t\tdir:      dir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), fmt.Errorf(\"[METRICSTORE]> %d errors happened while creating checkpoints (%d successes)\", errs, n)\n\t}\n\treturn int(n), nil\n}\n\n// toCheckpointFile recursively converts a Level tree to CheckpointFile structure.\n// Skips metrics that are already archived. Returns nil if no unarchived data exists.\nfunc (l *Level) toCheckpointFile(from, to int64, m *MemoryStore) (*CheckpointFile, error) {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tretval := &CheckpointFile{\n\t\tFrom:     from,\n\t\tTo:       to,\n\t\tMetrics:  make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tfor metric, minfo := range m.Metrics {\n\t\tb := l.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tcontinue\n\t\t}\n\n\t\tallArchived := true\n\t\tb.iterFromTo(from, to, func(b *buffer) error {\n\t\t\tif !b.archived {\n\t\t\t\tallArchived = false\n\t\t\t\treturn fmt.Errorf(\"stop\") // Early termination signal\n\t\t\t}\n\t\t\treturn nil\n\t\t})\n\n\t\tif allArchived {\n\t\t\tcontinue\n\t\t}\n\n\t\tdata := make([]schema.Float, (to-from)/b.frequency+1)\n\t\tdata, start, end, err := b.read(from, to, data)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor i := int((end - start) / b.frequency); i < len(data); i++ {\n\t\t\tdata[i] = schema.NaN\n\t\t}\n\n\t\tretval.Metrics[metric] = &CheckpointMetrics{\n\t\t\tFrequency: b.frequency,\n\t\t\tStart:     start,\n\t\t\tData:      data,\n\t\t}\n\t}\n\n\tfor name, child := range l.children {\n\t\tval, err := child.toCheckpointFile(from, to, m)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif val != nil {\n\t\t\tretval.Children[name] = val\n\t\t}\n\t}\n\n\tif len(retval.Children) == 0 && len(retval.Metrics) == 0 {\n\t\treturn nil, nil\n\t}\n\n\treturn retval, nil\n}\n\n// toCheckpoint writes a Level's data to a JSON checkpoint file.\n// Creates directory if needed. Returns ErrNoNewArchiveData if nothing to save.\nfunc (l *Level) toCheckpoint(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tfilepath := path.Join(dir, fmt.Sprintf(\"%d.json\", from))\n\tf, err := os.OpenFile(filepath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil && os.IsNotExist(err) {\n\t\terr = os.MkdirAll(dir, CheckpointDirPerms)\n\t\tif err == nil {\n\t\t\tf, err = os.OpenFile(filepath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\t\t}\n\t}\n\tif err != nil {\n\t\treturn err\n\t}\n\tdefer f.Close()\n\n\tbw := bufio.NewWriter(f)\n\tif err = json.NewEncoder(bw).Encode(cf); err != nil {\n\t\treturn err\n\t}\n\n\treturn bw.Flush()\n}\n\n// enqueueCheckpointHosts traverses checkpoint directory and enqueues cluster/host pairs.\n// Returns error if directory structure is invalid.\nfunc enqueueCheckpointHosts(dir string, work chan<- [2]string) error {\n\tclustersDir, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tfor _, clusterDir := range clustersDir {\n\t\tif !clusterDir.IsDir() {\n\t\t\treturn errors.New(\"[METRICSTORE]> expected only directories at first level of checkpoints/ directory\")\n\t\t}\n\n\t\thostsDir, err := os.ReadDir(filepath.Join(dir, clusterDir.Name()))\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tfor _, hostDir := range hostsDir {\n\t\t\tif !hostDir.IsDir() {\n\t\t\t\treturn errors.New(\"[METRICSTORE]> expected only directories at second level of checkpoints/ directory\")\n\t\t\t}\n\n\t\t\twork <- [2]string{clusterDir.Name(), hostDir.Name()}\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// FromCheckpoint loads checkpoint files from disk into memory in parallel.\n//\n// Uses worker pool to load cluster/host combinations. Returns number of files\n// loaded and any errors.\nfunc (m *MemoryStore) FromCheckpoint(dir string, from int64) (int, error) {\n\tvar wg sync.WaitGroup\n\twork := make(chan [2]string, Keys.NumWorkers*4)\n\tn, errs := int32(0), int32(0)\n\n\twg.Add(Keys.NumWorkers)\n\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor host := range work {\n\t\t\t\tlvl := m.root.findLevelOrCreate(host[:], len(m.Metrics))\n\t\t\t\tnn, err := lvl.fromCheckpoint(m, filepath.Join(dir, host[0], host[1]), from)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while loading checkpoints for %s/%s: %s\", host[0], host[1], err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t}\n\t\t\t\tatomic.AddInt32(&n, int32(nn))\n\t\t\t}\n\t\t}()\n\t}\n\n\terr := enqueueCheckpointHosts(dir, work)\n\tclose(work)\n\twg.Wait()\n\n\tif err != nil {\n\t\treturn int(n), err\n\t}\n\n\tif errs > 0 {\n\t\treturn int(n), fmt.Errorf(\"[METRICSTORE]> %d errors happened while creating checkpoints (%d successes)\", errs, n)\n\t}\n\treturn int(n), nil\n}\n\n// FromCheckpointFiles is the main entry point for loading checkpoints at startup.\n//\n// Creates checkpoint directory if it doesn't exist. This function must be called\n// before any writes or reads, and can only be called once.\nfunc (m *MemoryStore) FromCheckpointFiles(dir string, from int64) (int, error) {\n\tif _, err := os.Stat(dir); os.IsNotExist(err) {\n\t\terr := os.MkdirAll(dir, CheckpointDirPerms)\n\t\tif err != nil {\n\t\t\tcclog.Fatalf(\"[METRICSTORE]> Error creating directory: %#v\\n\", err)\n\t\t}\n\t\tcclog.Debugf(\"[METRICSTORE]> %#v Directory created successfully\", dir)\n\t}\n\n\treturn m.FromCheckpoint(dir, from)\n}\n\nfunc (l *Level) loadJSONFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\tcf := &CheckpointFile{}\n\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n\t\treturn err\n\t}\n\n\tif cf.To != 0 && cf.To < from {\n\t\treturn nil\n\t}\n\n\tif err := l.loadFile(cf, m); err != nil {\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (l *Level) loadFile(cf *CheckpointFile, m *MemoryStore) error {\n\tfor name, metric := range cf.Metrics {\n\t\tn := len(metric.Data)\n\t\tb := &buffer{\n\t\t\tfrequency: metric.Frequency,\n\t\t\tstart:     metric.Start,\n\t\t\tdata:      metric.Data[0:n:n],\n\t\t\tprev:      nil,\n\t\t\tnext:      nil,\n\t\t\tarchived:  true,\n\t\t}\n\n\t\tminfo, ok := m.Metrics[name]\n\t\tif !ok {\n\t\t\tcontinue\n\t\t}\n\n\t\tprev := l.metrics[minfo.offset]\n\t\tif prev == nil {\n\t\t\tl.metrics[minfo.offset] = b\n\t\t} else {\n\t\t\tif prev.start > b.start {\n\t\t\t\treturn fmt.Errorf(\"[METRICSTORE]> buffer start time %d is before previous buffer start %d\", b.start, prev.start)\n\t\t\t}\n\n\t\t\tb.prev = prev\n\t\t\tprev.next = b\n\t\t}\n\t\tl.metrics[minfo.offset] = b\n\t}\n\n\tif len(cf.Children) > 0 && l.children == nil {\n\t\tl.children = make(map[string]*Level)\n\t}\n\n\tfor sel, childCf := range cf.Children {\n\t\tchild, ok := l.children[sel]\n\t\tif !ok {\n\t\t\tchild = &Level{\n\t\t\t\tmetrics:  make([]*buffer, len(m.Metrics)),\n\t\t\t\tchildren: nil,\n\t\t\t}\n\t\t\tl.children[sel] = child\n\t\t}\n\n\t\tif err := child.loadFile(childCf, m); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// fromCheckpoint loads all checkpoint files (JSON, binary snapshot, WAL) for a\n// single host directory. Snapshot files are loaded first (sorted by timestamp),\n// then current.wal is replayed on top.\nfunc (l *Level) fromCheckpoint(m *MemoryStore, dir string, from int64) (int, error) {\n\tdirentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\tif os.IsNotExist(err) {\n\t\t\treturn 0, nil\n\t\t}\n\t\treturn 0, err\n\t}\n\n\tallFiles := make([]fs.DirEntry, 0)\n\tvar walEntry fs.DirEntry\n\tfilesLoaded := 0\n\n\tfor _, e := range direntries {\n\t\tif e.IsDir() {\n\t\t\t// Legacy: skip subdirectories (only used by old Avro format).\n\t\t\t// These are ignored; their data is not loaded.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> skipping subdirectory %s in checkpoint dir %s\", e.Name(), dir)\n\t\t\tcontinue\n\t\t}\n\n\t\tname := e.Name()\n\t\tif strings.HasSuffix(name, \".json\") || strings.HasSuffix(name, \".bin\") {\n\t\t\tallFiles = append(allFiles, e)\n\t\t} else if name == \"current.wal\" {\n\t\t\twalEntry = e\n\t\t}\n\t\t// Silently ignore other files (e.g., .tmp, .bin.tmp from interrupted writes).\n\t}\n\n\tfiles, err := findFiles(allFiles, from, true)\n\tif err != nil {\n\t\treturn filesLoaded, err\n\t}\n\n\tloaders := map[string]func(*MemoryStore, *os.File, int64) error{\n\t\t\".json\": l.loadJSONFile,\n\t\t\".bin\":  l.loadBinaryFile,\n\t}\n\n\tfor _, filename := range files {\n\t\text := filepath.Ext(filename)\n\t\tloader := loaders[ext]\n\t\tif loader == nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> unknown extension for checkpoint file %s\", filename)\n\t\t\tcontinue\n\t\t}\n\n\t\terr := func() error {\n\t\t\tf, err := os.Open(path.Join(dir, filename))\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tdefer f.Close()\n\t\t\treturn loader(m, f, from)\n\t\t}()\n\t\tif err != nil {\n\t\t\treturn filesLoaded, err\n\t\t}\n\t\tfilesLoaded++\n\t}\n\n\t// Replay WAL after all snapshot files so it fills in data since the last snapshot.\n\tif walEntry != nil {\n\t\terr := func() error {\n\t\t\tf, err := os.Open(path.Join(dir, walEntry.Name()))\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tdefer f.Close()\n\t\t\treturn l.loadWALFile(m, f, from)\n\t\t}()\n\t\tif err != nil {\n\t\t\t// WAL errors are non-fatal: the snapshot already loaded the bulk of data.\n\t\t\tcclog.Warnf(\"[METRICSTORE]> WAL replay error for %s: %v (data since last snapshot may be missing)\", dir, err)\n\t\t} else {\n\t\t\tfilesLoaded++\n\t\t}\n\t}\n\n\treturn filesLoaded, nil\n}\n\n// parseTimestampFromFilename extracts a Unix timestamp from a checkpoint filename.\n// Supports \".json\" (format: \"<ts>.json\") and \".bin\" (format: \"<ts>.bin\").\nfunc parseTimestampFromFilename(name string) (int64, error) {\n\tswitch {\n\tcase strings.HasSuffix(name, \".json\"):\n\t\treturn strconv.ParseInt(name[:len(name)-5], 10, 64)\n\tcase strings.HasSuffix(name, \".bin\"):\n\t\treturn strconv.ParseInt(name[:len(name)-4], 10, 64)\n\tdefault:\n\t\treturn 0, fmt.Errorf(\"unknown checkpoint extension for file %q\", name)\n\t}\n}\n\n// findFiles returns filenames from direntries whose timestamps satisfy the filter.\n// If findMoreRecentFiles is true, returns files with timestamps >= t (plus the\n// last file before t if t falls between two files).\nfunc findFiles(direntries []fs.DirEntry, t int64, findMoreRecentFiles bool) ([]string, error) {\n\tnums := map[string]int64{}\n\tfor _, e := range direntries {\n\t\tname := e.Name()\n\t\tif !strings.HasSuffix(name, \".json\") && !strings.HasSuffix(name, \".bin\") {\n\t\t\tcontinue\n\t\t}\n\n\t\tts, err := parseTimestampFromFilename(name)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tnums[name] = ts\n\t}\n\n\tsort.Slice(direntries, func(i, j int) bool {\n\t\ta, b := direntries[i], direntries[j]\n\t\treturn nums[a.Name()] < nums[b.Name()]\n\t})\n\n\tif len(nums) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tfilenames := make([]string, 0)\n\n\tfor i, e := range direntries {\n\t\tts1 := nums[e.Name()]\n\n\t\tif findMoreRecentFiles && t <= ts1 {\n\t\t\tfilenames = append(filenames, e.Name())\n\t\t} else if !findMoreRecentFiles && ts1 <= t && ts1 != 0 {\n\t\t\tfilenames = append(filenames, e.Name())\n\t\t}\n\n\t\tif i == len(direntries)-1 {\n\t\t\tcontinue\n\t\t}\n\n\t\tenext := direntries[i+1]\n\t\tts2 := nums[enext.Name()]\n\n\t\tif findMoreRecentFiles {\n\t\t\tif ts1 < t && t < ts2 {\n\t\t\t\tfilenames = append(filenames, e.Name())\n\t\t\t}\n\t\t}\n\t}\n\n\treturn filenames, nil\n}\n","numLines":670,"startLine":1,"totalLines":670}},"sourceToolAssistantUUID":"753193f9-d642-4db4-b800-6766bb8b809d","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"ca36eb3e-bede-40f6-9e44-1f9cadea21ae","version":"2.1.78","gitBranch":"hotfix","slug":"transient-jingling-storm"}
+{"parentUuid":"660424d0-712a-407c-8692-b79e8118b8a3","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01113sQsQdvGbcCMEdewA37k","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":17043,"cache_read_input_tokens":21016,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":17043},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZArnXxsmbNv7PMMSpA6s","type":"assistant","uuid":"0438d025-673f-4dd6-9eec-b31f7cfd394f","timestamp":"2026-03-18T16:26:56.784Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"ca36eb3e-bede-40f6-9e44-1f9cadea21ae","version":"2.1.78","gitBranch":"hotfix","slug":"transient-jingling-storm"}
+{"parentUuid":"0438d025-673f-4dd6-9eec-b31f7cfd394f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01113sQsQdvGbcCMEdewA37k","type":"message","role":"assistant","content":[{"type":"text","text":"Now I have a clear picture. Let me implement all the changes.\n\n**Step 1**: Reduce results channel buffer and restructure `archiveCheckpoints` to stream `CheckpointFile` instead of rows.\n\n**Step 2**: Add `WriteCheckpointFileDirect` to the parquet writer.\n\n**Step 3**: Remove dead code."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":17043,"cache_read_input_tokens":21016,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":17043},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZArnXxsmbNv7PMMSpA6s","type":"assistant","uuid":"596845e6-3b74-451e-8cd0-843aac4e5cd0","timestamp":"2026-03-18T16:26:58.147Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"ca36eb3e-bede-40f6-9e44-1f9cadea21ae","version":"2.1.78","gitBranch":"hotfix","slug":"transient-jingling-storm"}
+{"parentUuid":"596845e6-3b74-451e-8cd0-843aac4e5cd0","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01113sQsQdvGbcCMEdewA37k","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01T5cJixEDSaPeS7ELakmnEU","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/parquetArchive.go","old_string":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"encoding/binary\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"sort\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\n// ParquetMetricRow is the long-format schema for archived metric data.\n// One row per (host, metric, scope, scope_id, timestamp) data point.\n// Sorted by (cluster, hostname, metric, timestamp) for optimal compression.\ntype ParquetMetricRow struct {\n\tCluster   string  `parquet:\"cluster\"`\n\tHostname  string  `parquet:\"hostname\"`\n\tMetric    string  `parquet:\"metric\"`\n\tScope     string  `parquet:\"scope\"`\n\tScopeID   string  `parquet:\"scope_id\"`\n\tTimestamp int64   `parquet:\"timestamp\"`\n\tFrequency int64   `parquet:\"frequency\"`\n\tValue     float32 `parquet:\"value\"`\n}\n\n// flattenCheckpointFile recursively converts a CheckpointFile tree into Parquet rows.\n// The scope path is built from the hierarchy: host level is \"node\", then child names\n// map to scope/scope_id (e.g., \"socket0\" → scope=\"socket\", scope_id=\"0\").\nfunc flattenCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string, rows []ParquetMetricRow) []ParquetMetricRow {\n\tfor metricName, cm := range cf.Metrics {\n\t\tts := cm.Start\n\t\tfor _, v := range cm.Data {\n\t\t\tif !v.IsNaN() {\n\t\t\t\trows = append(rows, ParquetMetricRow{\n\t\t\t\t\tCluster:   cluster,\n\t\t\t\t\tHostname:  hostname,\n\t\t\t\t\tMetric:    metricName,\n\t\t\t\t\tScope:     scope,\n\t\t\t\t\tScopeID:   scopeID,\n\t\t\t\t\tTimestamp: ts,\n\t\t\t\t\tFrequency: cm.Frequency,\n\t\t\t\t\tValue:     float32(v),\n\t\t\t\t})\n\t\t\t}\n\t\t\tts += cm.Frequency\n\t\t}\n\t}\n\n\tfor childName, childCf := range cf.Children {\n\t\tchildScope, childScopeID := parseScopeFromName(childName)\n\t\trows = flattenCheckpointFile(childCf, cluster, hostname, childScope, childScopeID, rows)\n\t}\n\n\treturn rows\n}\n\n// parseScopeFromName infers scope and scope_id from a child level name.\n// Examples: \"socket0\" → (\"socket\", \"0\"), \"core12\" → (\"core\", \"12\"),\n// \"a0\" (accelerator) → (\"accelerator\", \"0\").\n// If the name doesn't match known patterns, it's used as-is for scope with empty scope_id.\nfunc parseScopeFromName(name string) (string, string) {\n\tprefixes := []struct {\n\t\tprefix string\n\t\tscope  string\n\t}{\n\t\t{\"socket\", \"socket\"},\n\t\t{\"memoryDomain\", \"memoryDomain\"},\n\t\t{\"core\", \"core\"},\n\t\t{\"hwthread\", \"hwthread\"},\n\t\t{\"cpu\", \"hwthread\"},\n\t\t{\"accelerator\", \"accelerator\"},\n\t}\n\n\tfor _, p := range prefixes {\n\t\tif len(name) > len(p.prefix) && name[:len(p.prefix)] == p.prefix {\n\t\t\tid := name[len(p.prefix):]\n\t\t\tif len(id) > 0 && id[0] >= '0' && id[0] <= '9' {\n\t\t\t\treturn p.scope, id\n\t\t\t}\n\t\t}\n\t}\n\n\treturn name, \"\"\n}\n\n// parquetArchiveWriter supports incremental writes to a Parquet file.\n// Each call to WriteHostRows writes one row group (typically one host's data),\n// avoiding accumulation of all rows in memory.\ntype parquetArchiveWriter struct {\n\twriter *pq.GenericWriter[ParquetMetricRow]\n\tbw     *bufio.Writer\n\tf      *os.File\n\tcount  int\n}\n\n// newParquetArchiveWriter creates a streaming Parquet writer with Zstd compression.\nfunc newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error) {\n\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n\t\treturn nil, fmt.Errorf(\"creating archive directory: %w\", err)\n\t}\n\n\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn nil, fmt.Errorf(\"creating parquet file: %w\", err)\n\t}\n\n\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n\n\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n\t\tpq.Compression(&pq.Zstd),\n\t)\n\n\treturn &parquetArchiveWriter{writer: writer, bw: bw, f: f}, nil\n}\n\n// WriteHostRows sorts rows by (metric, timestamp) in-place, writes them,\n// and flushes to create a separate row group.\nfunc (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error {\n\tsort.Slice(rows, func(i, j int) bool {\n\t\tif rows[i].Metric != rows[j].Metric {\n\t\t\treturn rows[i].Metric < rows[j].Metric\n\t\t}\n\t\treturn rows[i].Timestamp < rows[j].Timestamp\n\t})\n\n\tif _, err := w.writer.Write(rows); err != nil {\n\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n\t}\n\n\tif err := w.writer.Flush(); err != nil {\n\t\treturn fmt.Errorf(\"flushing parquet row group: %w\", err)\n\t}\n\n\tw.count += len(rows)\n\treturn nil\n}\n\n// Close finalises the Parquet file (footer, buffered I/O, file handle).\nfunc (w *parquetArchiveWriter) Close() error {\n\tif err := w.writer.Close(); err != nil {\n\t\tw.f.Close()\n\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n\t}\n\n\tif err := w.bw.Flush(); err != nil {\n\t\tw.f.Close()\n\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n\t}\n\n\treturn w.f.Close()\n}\n\n// sortParquetRows sorts rows by (metric, timestamp) in-place.\nfunc sortParquetRows(rows []ParquetMetricRow) {\n\tsort.Slice(rows, func(i, j int) bool {\n\t\tif rows[i].Metric != rows[j].Metric {\n\t\t\treturn rows[i].Metric < rows[j].Metric\n\t\t}\n\t\treturn rows[i].Timestamp < rows[j].Timestamp\n\t})\n}\n\n// loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns\n// a CheckpointFile. Used by the Parquet archiver to read checkpoint data\n// before converting it to Parquet format.\nfunc loadCheckpointFileFromDisk(filename string) (*CheckpointFile, error) {\n\tf, err := os.Open(filename)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer f.Close()\n\n\text := filepath.Ext(filename)\n\tswitch ext {\n\tcase \".json\":\n\t\tcf := &CheckpointFile{}\n\t\tbr := bufio.NewReader(f)\n\t\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"decoding JSON checkpoint %s: %w\", filename, err)\n\t\t}\n\t\treturn cf, nil\n\n\tcase \".bin\":\n\t\tbr := bufio.NewReader(f)\n\t\tvar magic uint32\n\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading magic from %s: %w\", filename, err)\n\t\t}\n\t\tif magic != snapFileMagic {\n\t\t\treturn nil, fmt.Errorf(\"invalid snapshot magic in %s: 0x%08X\", filename, magic)\n\t\t}\n\t\tvar fileFrom, fileTo int64\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading from-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading to-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tcf, err := readBinaryLevel(br)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading binary level from %s: %w\", filename, err)\n\t\t}\n\t\tcf.From = fileFrom\n\t\tcf.To = fileTo\n\t\treturn cf, nil\n\n\tdefault:\n\t\treturn nil, fmt.Errorf(\"unsupported checkpoint extension: %s\", ext)\n\t}\n}\n\n// estimateRowCount estimates the number of Parquet rows a CheckpointFile will produce.\n// Used for pre-allocating the rows slice to avoid repeated append doubling.\nfunc estimateRowCount(cf *CheckpointFile) int {\n\tn := 0\n\tfor _, cm := range cf.Metrics {\n\t\tn += len(cm.Data)\n\t}\n\tfor _, child := range cf.Children {\n\t\tn += estimateRowCount(child)\n\t}\n\treturn n\n}\n\n// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n// converts them to Parquet rows. Returns the rows and filenames that were processed.\nfunc archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n\tentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tfiles, err := findFiles(entries, from, false)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tif len(files) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\t// First pass: load checkpoints and estimate total rows for pre-allocation.\n\ttype loaded struct {\n\t\tcf       *CheckpointFile\n\t\tfilename string\n\t}\n\tvar checkpoints []loaded\n\ttotalEstimate := 0\n\n\tfor _, checkpoint := range files {\n\t\tfilename := filepath.Join(dir, checkpoint)\n\t\tcf, err := loadCheckpointFileFromDisk(filename)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n\t\t\tcontinue\n\t\t}\n\t\ttotalEstimate += estimateRowCount(cf)\n\t\tcheckpoints = append(checkpoints, loaded{cf: cf, filename: checkpoint})\n\t}\n\n\tif len(checkpoints) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\trows := make([]ParquetMetricRow, 0, totalEstimate)\n\tprocessedFiles := make([]string, 0, len(checkpoints))\n\n\tfor _, cp := range checkpoints {\n\t\trows = flattenCheckpointFile(cp.cf, cluster, host, \"node\", \"\", rows)\n\t\tprocessedFiles = append(processedFiles, cp.filename)\n\t}\n\n\treturn rows, processedFiles, nil\n}","new_string":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"encoding/binary\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"sort\"\n\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\n// ParquetMetricRow is the long-format schema for archived metric data.\n// One row per (host, metric, scope, scope_id, timestamp) data point.\n// Sorted by (cluster, hostname, metric, timestamp) for optimal compression.\ntype ParquetMetricRow struct {\n\tCluster   string  `parquet:\"cluster\"`\n\tHostname  string  `parquet:\"hostname\"`\n\tMetric    string  `parquet:\"metric\"`\n\tScope     string  `parquet:\"scope\"`\n\tScopeID   string  `parquet:\"scope_id\"`\n\tTimestamp int64   `parquet:\"timestamp\"`\n\tFrequency int64   `parquet:\"frequency\"`\n\tValue     float32 `parquet:\"value\"`\n}\n\n// parseScopeFromName infers scope and scope_id from a child level name.\n// Examples: \"socket0\" → (\"socket\", \"0\"), \"core12\" → (\"core\", \"12\"),\n// \"a0\" (accelerator) → (\"accelerator\", \"0\").\n// If the name doesn't match known patterns, it's used as-is for scope with empty scope_id.\nfunc parseScopeFromName(name string) (string, string) {\n\tprefixes := []struct {\n\t\tprefix string\n\t\tscope  string\n\t}{\n\t\t{\"socket\", \"socket\"},\n\t\t{\"memoryDomain\", \"memoryDomain\"},\n\t\t{\"core\", \"core\"},\n\t\t{\"hwthread\", \"hwthread\"},\n\t\t{\"cpu\", \"hwthread\"},\n\t\t{\"accelerator\", \"accelerator\"},\n\t}\n\n\tfor _, p := range prefixes {\n\t\tif len(name) > len(p.prefix) && name[:len(p.prefix)] == p.prefix {\n\t\t\tid := name[len(p.prefix):]\n\t\t\tif len(id) > 0 && id[0] >= '0' && id[0] <= '9' {\n\t\t\t\treturn p.scope, id\n\t\t\t}\n\t\t}\n\t}\n\n\treturn name, \"\"\n}\n\n// parquetArchiveWriter supports incremental writes to a Parquet file.\n// Uses streaming writes to avoid accumulating all rows in memory.\ntype parquetArchiveWriter struct {\n\twriter *pq.GenericWriter[ParquetMetricRow]\n\tbw     *bufio.Writer\n\tf      *os.File\n\tbatch  []ParquetMetricRow // reusable batch buffer\n\tcount  int\n}\n\nconst parquetBatchSize = 1024\n\n// newParquetArchiveWriter creates a streaming Parquet writer with Zstd compression.\nfunc newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error) {\n\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n\t\treturn nil, fmt.Errorf(\"creating archive directory: %w\", err)\n\t}\n\n\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn nil, fmt.Errorf(\"creating parquet file: %w\", err)\n\t}\n\n\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n\n\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n\t\tpq.Compression(&pq.Zstd),\n\t)\n\n\treturn &parquetArchiveWriter{\n\t\twriter: writer,\n\t\tbw:     bw,\n\t\tf:      f,\n\t\tbatch:  make([]ParquetMetricRow, 0, parquetBatchSize),\n\t}, nil\n}\n\n// WriteCheckpointFile streams a CheckpointFile tree directly to Parquet rows,\n// writing metrics in sorted order without materializing all rows in memory.\n// Produces one row group per call (typically one host's data).\nfunc (w *parquetArchiveWriter) WriteCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string) error {\n\tw.writeLevel(cf, cluster, hostname, scope, scopeID)\n\n\t// Flush remaining batch\n\tif len(w.batch) > 0 {\n\t\tif _, err := w.writer.Write(w.batch); err != nil {\n\t\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n\t\t}\n\t\tw.count += len(w.batch)\n\t\tw.batch = w.batch[:0]\n\t}\n\n\tif err := w.writer.Flush(); err != nil {\n\t\treturn fmt.Errorf(\"flushing parquet row group: %w\", err)\n\t}\n\n\treturn nil\n}\n\n// writeLevel recursively writes metrics from a CheckpointFile level.\n// Metric names and child names are sorted for deterministic, compression-friendly output.\nfunc (w *parquetArchiveWriter) writeLevel(cf *CheckpointFile, cluster, hostname, scope, scopeID string) {\n\t// Sort metric names for deterministic order\n\tmetricNames := make([]string, 0, len(cf.Metrics))\n\tfor name := range cf.Metrics {\n\t\tmetricNames = append(metricNames, name)\n\t}\n\tsort.Strings(metricNames)\n\n\tfor _, metricName := range metricNames {\n\t\tcm := cf.Metrics[metricName]\n\t\tts := cm.Start\n\t\tfor _, v := range cm.Data {\n\t\t\tif !v.IsNaN() {\n\t\t\t\tw.batch = append(w.batch, ParquetMetricRow{\n\t\t\t\t\tCluster:   cluster,\n\t\t\t\t\tHostname:  hostname,\n\t\t\t\t\tMetric:    metricName,\n\t\t\t\t\tScope:     scope,\n\t\t\t\t\tScopeID:   scopeID,\n\t\t\t\t\tTimestamp: ts,\n\t\t\t\t\tFrequency: cm.Frequency,\n\t\t\t\t\tValue:     float32(v),\n\t\t\t\t})\n\n\t\t\t\tif len(w.batch) >= parquetBatchSize {\n\t\t\t\t\tw.writer.Write(w.batch)\n\t\t\t\t\tw.count += len(w.batch)\n\t\t\t\t\tw.batch = w.batch[:0]\n\t\t\t\t}\n\t\t\t}\n\t\t\tts += cm.Frequency\n\t\t}\n\t}\n\n\t// Sort child names for deterministic order\n\tchildNames := make([]string, 0, len(cf.Children))\n\tfor name := range cf.Children {\n\t\tchildNames = append(childNames, name)\n\t}\n\tsort.Strings(childNames)\n\n\tfor _, childName := range childNames {\n\t\tchildScope, childScopeID := parseScopeFromName(childName)\n\t\tw.writeLevel(cf.Children[childName], cluster, hostname, childScope, childScopeID)\n\t}\n}\n\n// Close finalises the Parquet file (footer, buffered I/O, file handle).\nfunc (w *parquetArchiveWriter) Close() error {\n\tif err := w.writer.Close(); err != nil {\n\t\tw.f.Close()\n\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n\t}\n\n\tif err := w.bw.Flush(); err != nil {\n\t\tw.f.Close()\n\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n\t}\n\n\treturn w.f.Close()\n}\n\n// loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns\n// a CheckpointFile. Used by the Parquet archiver to read checkpoint data\n// before converting it to Parquet format.\nfunc loadCheckpointFileFromDisk(filename string) (*CheckpointFile, error) {\n\tf, err := os.Open(filename)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer f.Close()\n\n\text := filepath.Ext(filename)\n\tswitch ext {\n\tcase \".json\":\n\t\tcf := &CheckpointFile{}\n\t\tbr := bufio.NewReader(f)\n\t\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"decoding JSON checkpoint %s: %w\", filename, err)\n\t\t}\n\t\treturn cf, nil\n\n\tcase \".bin\":\n\t\tbr := bufio.NewReader(f)\n\t\tvar magic uint32\n\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading magic from %s: %w\", filename, err)\n\t\t}\n\t\tif magic != snapFileMagic {\n\t\t\treturn nil, fmt.Errorf(\"invalid snapshot magic in %s: 0x%08X\", filename, magic)\n\t\t}\n\t\tvar fileFrom, fileTo int64\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading from-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading to-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tcf, err := readBinaryLevel(br)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading binary level from %s: %w\", filename, err)\n\t\t}\n\t\tcf.From = fileFrom\n\t\tcf.To = fileTo\n\t\treturn cf, nil\n\n\tdefault:\n\t\treturn nil, fmt.Errorf(\"unsupported checkpoint extension: %s\", ext)\n\t}\n}\n\n// loadCheckpointFiles reads checkpoint files for a host directory and returns\n// the loaded CheckpointFiles and their filenames. Processes one file at a time\n// to avoid holding all checkpoint data in memory simultaneously.\nfunc loadCheckpointFiles(dir string, from int64) ([]*CheckpointFile, []string, error) {\n\tentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tfiles, err := findFiles(entries, from, false)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tif len(files) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\tvar checkpoints []*CheckpointFile\n\tvar processedFiles []string\n\n\tfor _, checkpoint := range files {\n\t\tfilename := filepath.Join(dir, checkpoint)\n\t\tcf, err := loadCheckpointFileFromDisk(filename)\n\t\tif err != nil {\n\t\t\tcontinue\n\t\t}\n\t\tcheckpoints = append(checkpoints, cf)\n\t\tprocessedFiles = append(processedFiles, checkpoint)\n\t}\n\n\treturn checkpoints, processedFiles, nil\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":17043,"cache_read_input_tokens":21016,"output_tokens":5988,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":17043,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZArnXxsmbNv7PMMSpA6s","type":"assistant","uuid":"e62421ce-efe5-480a-bdfb-67aa19cc67ad","timestamp":"2026-03-18T16:27:57.852Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"ca36eb3e-bede-40f6-9e44-1f9cadea21ae","version":"2.1.78","gitBranch":"hotfix","slug":"transient-jingling-storm"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"encoding/binary\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"sort\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\n// ParquetMetricRow is the long-format schema for archived metric data.\n// One row per (host, metric, scope, scope_id, timestamp) data point.\n// Sorted by (cluster, hostname, metric, timestamp) for optimal compression.\ntype ParquetMetricRow struct {\n\tCluster   string  `parquet:\"cluster\"`\n\tHostname  string  `parquet:\"hostname\"`\n\tMetric    string  `parquet:\"metric\"`\n\tScope     string  `parquet:\"scope\"`\n\tScopeID   string  `parquet:\"scope_id\"`\n\tTimestamp int64   `parquet:\"timestamp\"`\n\tFrequency int64   `parquet:\"frequency\"`\n\tValue     float32 `parquet:\"value\"`\n}\n\n// flattenCheckpointFile recursively converts a CheckpointFile tree into Parquet rows.\n// The scope path is built from the hierarchy: host level is \"node\", then child names\n// map to scope/scope_id (e.g., \"socket0\" → scope=\"socket\", scope_id=\"0\").\nfunc flattenCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string, rows []ParquetMetricRow) []ParquetMetricRow {\n\tfor metricName, cm := range cf.Metrics {\n\t\tts := cm.Start\n\t\tfor _, v := range cm.Data {\n\t\t\tif !v.IsNaN() {\n\t\t\t\trows = append(rows, ParquetMetricRow{\n\t\t\t\t\tCluster:   cluster,\n\t\t\t\t\tHostname:  hostname,\n\t\t\t\t\tMetric:    metricName,\n\t\t\t\t\tScope:     scope,\n\t\t\t\t\tScopeID:   scopeID,\n\t\t\t\t\tTimestamp: ts,\n\t\t\t\t\tFrequency: cm.Frequency,\n\t\t\t\t\tValue:     float32(v),\n\t\t\t\t})\n\t\t\t}\n\t\t\tts += cm.Frequency\n\t\t}\n\t}\n\n\tfor childName, childCf := range cf.Children {\n\t\tchildScope, childScopeID := parseScopeFromName(childName)\n\t\trows = flattenCheckpointFile(childCf, cluster, hostname, childScope, childScopeID, rows)\n\t}\n\n\treturn rows\n}\n\n// parseScopeFromName infers scope and scope_id from a child level name.\n// Examples: \"socket0\" → (\"socket\", \"0\"), \"core12\" → (\"core\", \"12\"),\n// \"a0\" (accelerator) → (\"accelerator\", \"0\").\n// If the name doesn't match known patterns, it's used as-is for scope with empty scope_id.\nfunc parseScopeFromName(name string) (string, string) {\n\tprefixes := []struct {\n\t\tprefix string\n\t\tscope  string\n\t}{\n\t\t{\"socket\", \"socket\"},\n\t\t{\"memoryDomain\", \"memoryDomain\"},\n\t\t{\"core\", \"core\"},\n\t\t{\"hwthread\", \"hwthread\"},\n\t\t{\"cpu\", \"hwthread\"},\n\t\t{\"accelerator\", \"accelerator\"},\n\t}\n\n\tfor _, p := range prefixes {\n\t\tif len(name) > len(p.prefix) && name[:len(p.prefix)] == p.prefix {\n\t\t\tid := name[len(p.prefix):]\n\t\t\tif len(id) > 0 && id[0] >= '0' && id[0] <= '9' {\n\t\t\t\treturn p.scope, id\n\t\t\t}\n\t\t}\n\t}\n\n\treturn name, \"\"\n}\n\n// parquetArchiveWriter supports incremental writes to a Parquet file.\n// Each call to WriteHostRows writes one row group (typically one host's data),\n// avoiding accumulation of all rows in memory.\ntype parquetArchiveWriter struct {\n\twriter *pq.GenericWriter[ParquetMetricRow]\n\tbw     *bufio.Writer\n\tf      *os.File\n\tcount  int\n}\n\n// newParquetArchiveWriter creates a streaming Parquet writer with Zstd compression.\nfunc newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error) {\n\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n\t\treturn nil, fmt.Errorf(\"creating archive directory: %w\", err)\n\t}\n\n\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn nil, fmt.Errorf(\"creating parquet file: %w\", err)\n\t}\n\n\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n\n\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n\t\tpq.Compression(&pq.Zstd),\n\t)\n\n\treturn &parquetArchiveWriter{writer: writer, bw: bw, f: f}, nil\n}\n\n// WriteHostRows sorts rows by (metric, timestamp) in-place, writes them,\n// and flushes to create a separate row group.\nfunc (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error {\n\tsort.Slice(rows, func(i, j int) bool {\n\t\tif rows[i].Metric != rows[j].Metric {\n\t\t\treturn rows[i].Metric < rows[j].Metric\n\t\t}\n\t\treturn rows[i].Timestamp < rows[j].Timestamp\n\t})\n\n\tif _, err := w.writer.Write(rows); err != nil {\n\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n\t}\n\n\tif err := w.writer.Flush(); err != nil {\n\t\treturn fmt.Errorf(\"flushing parquet row group: %w\", err)\n\t}\n\n\tw.count += len(rows)\n\treturn nil\n}\n\n// Close finalises the Parquet file (footer, buffered I/O, file handle).\nfunc (w *parquetArchiveWriter) Close() error {\n\tif err := w.writer.Close(); err != nil {\n\t\tw.f.Close()\n\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n\t}\n\n\tif err := w.bw.Flush(); err != nil {\n\t\tw.f.Close()\n\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n\t}\n\n\treturn w.f.Close()\n}\n\n// sortParquetRows sorts rows by (metric, timestamp) in-place.\nfunc sortParquetRows(rows []ParquetMetricRow) {\n\tsort.Slice(rows, func(i, j int) bool {\n\t\tif rows[i].Metric != rows[j].Metric {\n\t\t\treturn rows[i].Metric < rows[j].Metric\n\t\t}\n\t\treturn rows[i].Timestamp < rows[j].Timestamp\n\t})\n}\n\n// loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns\n// a CheckpointFile. Used by the Parquet archiver to read checkpoint data\n// before converting it to Parquet format.\nfunc loadCheckpointFileFromDisk(filename string) (*CheckpointFile, error) {\n\tf, err := os.Open(filename)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer f.Close()\n\n\text := filepath.Ext(filename)\n\tswitch ext {\n\tcase \".json\":\n\t\tcf := &CheckpointFile{}\n\t\tbr := bufio.NewReader(f)\n\t\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"decoding JSON checkpoint %s: %w\", filename, err)\n\t\t}\n\t\treturn cf, nil\n\n\tcase \".bin\":\n\t\tbr := bufio.NewReader(f)\n\t\tvar magic uint32\n\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading magic from %s: %w\", filename, err)\n\t\t}\n\t\tif magic != snapFileMagic {\n\t\t\treturn nil, fmt.Errorf(\"invalid snapshot magic in %s: 0x%08X\", filename, magic)\n\t\t}\n\t\tvar fileFrom, fileTo int64\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading from-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading to-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tcf, err := readBinaryLevel(br)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading binary level from %s: %w\", filename, err)\n\t\t}\n\t\tcf.From = fileFrom\n\t\tcf.To = fileTo\n\t\treturn cf, nil\n\n\tdefault:\n\t\treturn nil, fmt.Errorf(\"unsupported checkpoint extension: %s\", ext)\n\t}\n}\n\n// estimateRowCount estimates the number of Parquet rows a CheckpointFile will produce.\n// Used for pre-allocating the rows slice to avoid repeated append doubling.\nfunc estimateRowCount(cf *CheckpointFile) int {\n\tn := 0\n\tfor _, cm := range cf.Metrics {\n\t\tn += len(cm.Data)\n\t}\n\tfor _, child := range cf.Children {\n\t\tn += estimateRowCount(child)\n\t}\n\treturn n\n}\n\n// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n// converts them to Parquet rows. Returns the rows and filenames that were processed.\nfunc archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n\tentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tfiles, err := findFiles(entries, from, false)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tif len(files) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\t// First pass: load checkpoints and estimate total rows for pre-allocation.\n\ttype loaded struct {\n\t\tcf       *CheckpointFile\n\t\tfilename string\n\t}\n\tvar checkpoints []loaded\n\ttotalEstimate := 0\n\n\tfor _, checkpoint := range files {\n\t\tfilename := filepath.Join(dir, checkpoint)\n\t\tcf, err := loadCheckpointFileFromDisk(filename)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n\t\t\tcontinue\n\t\t}\n\t\ttotalEstimate += estimateRowCount(cf)\n\t\tcheckpoints = append(checkpoints, loaded{cf: cf, filename: checkpoint})\n\t}\n\n\tif len(checkpoints) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\trows := make([]ParquetMetricRow, 0, totalEstimate)\n\tprocessedFiles := make([]string, 0, len(checkpoints))\n\n\tfor _, cp := range checkpoints {\n\t\trows = flattenCheckpointFile(cp.cf, cluster, host, \"node\", \"\", rows)\n\t\tprocessedFiles = append(processedFiles, cp.filename)\n\t}\n\n\treturn rows, processedFiles, nil\n}","newString":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"encoding/binary\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"sort\"\n\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\n// ParquetMetricRow is the long-format schema for archived metric data.\n// One row per (host, metric, scope, scope_id, timestamp) data point.\n// Sorted by (cluster, hostname, metric, timestamp) for optimal compression.\ntype ParquetMetricRow struct {\n\tCluster   string  `parquet:\"cluster\"`\n\tHostname  string  `parquet:\"hostname\"`\n\tMetric    string  `parquet:\"metric\"`\n\tScope     string  `parquet:\"scope\"`\n\tScopeID   string  `parquet:\"scope_id\"`\n\tTimestamp int64   `parquet:\"timestamp\"`\n\tFrequency int64   `parquet:\"frequency\"`\n\tValue     float32 `parquet:\"value\"`\n}\n\n// parseScopeFromName infers scope and scope_id from a child level name.\n// Examples: \"socket0\" → (\"socket\", \"0\"), \"core12\" → (\"core\", \"12\"),\n// \"a0\" (accelerator) → (\"accelerator\", \"0\").\n// If the name doesn't match known patterns, it's used as-is for scope with empty scope_id.\nfunc parseScopeFromName(name string) (string, string) {\n\tprefixes := []struct {\n\t\tprefix string\n\t\tscope  string\n\t}{\n\t\t{\"socket\", \"socket\"},\n\t\t{\"memoryDomain\", \"memoryDomain\"},\n\t\t{\"core\", \"core\"},\n\t\t{\"hwthread\", \"hwthread\"},\n\t\t{\"cpu\", \"hwthread\"},\n\t\t{\"accelerator\", \"accelerator\"},\n\t}\n\n\tfor _, p := range prefixes {\n\t\tif len(name) > len(p.prefix) && name[:len(p.prefix)] == p.prefix {\n\t\t\tid := name[len(p.prefix):]\n\t\t\tif len(id) > 0 && id[0] >= '0' && id[0] <= '9' {\n\t\t\t\treturn p.scope, id\n\t\t\t}\n\t\t}\n\t}\n\n\treturn name, \"\"\n}\n\n// parquetArchiveWriter supports incremental writes to a Parquet file.\n// Uses streaming writes to avoid accumulating all rows in memory.\ntype parquetArchiveWriter struct {\n\twriter *pq.GenericWriter[ParquetMetricRow]\n\tbw     *bufio.Writer\n\tf      *os.File\n\tbatch  []ParquetMetricRow // reusable batch buffer\n\tcount  int\n}\n\nconst parquetBatchSize = 1024\n\n// newParquetArchiveWriter creates a streaming Parquet writer with Zstd compression.\nfunc newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error) {\n\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n\t\treturn nil, fmt.Errorf(\"creating archive directory: %w\", err)\n\t}\n\n\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn nil, fmt.Errorf(\"creating parquet file: %w\", err)\n\t}\n\n\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n\n\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n\t\tpq.Compression(&pq.Zstd),\n\t)\n\n\treturn &parquetArchiveWriter{\n\t\twriter: writer,\n\t\tbw:     bw,\n\t\tf:      f,\n\t\tbatch:  make([]ParquetMetricRow, 0, parquetBatchSize),\n\t}, nil\n}\n\n// WriteCheckpointFile streams a CheckpointFile tree directly to Parquet rows,\n// writing metrics in sorted order without materializing all rows in memory.\n// Produces one row group per call (typically one host's data).\nfunc (w *parquetArchiveWriter) WriteCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string) error {\n\tw.writeLevel(cf, cluster, hostname, scope, scopeID)\n\n\t// Flush remaining batch\n\tif len(w.batch) > 0 {\n\t\tif _, err := w.writer.Write(w.batch); err != nil {\n\t\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n\t\t}\n\t\tw.count += len(w.batch)\n\t\tw.batch = w.batch[:0]\n\t}\n\n\tif err := w.writer.Flush(); err != nil {\n\t\treturn fmt.Errorf(\"flushing parquet row group: %w\", err)\n\t}\n\n\treturn nil\n}\n\n// writeLevel recursively writes metrics from a CheckpointFile level.\n// Metric names and child names are sorted for deterministic, compression-friendly output.\nfunc (w *parquetArchiveWriter) writeLevel(cf *CheckpointFile, cluster, hostname, scope, scopeID string) {\n\t// Sort metric names for deterministic order\n\tmetricNames := make([]string, 0, len(cf.Metrics))\n\tfor name := range cf.Metrics {\n\t\tmetricNames = append(metricNames, name)\n\t}\n\tsort.Strings(metricNames)\n\n\tfor _, metricName := range metricNames {\n\t\tcm := cf.Metrics[metricName]\n\t\tts := cm.Start\n\t\tfor _, v := range cm.Data {\n\t\t\tif !v.IsNaN() {\n\t\t\t\tw.batch = append(w.batch, ParquetMetricRow{\n\t\t\t\t\tCluster:   cluster,\n\t\t\t\t\tHostname:  hostname,\n\t\t\t\t\tMetric:    metricName,\n\t\t\t\t\tScope:     scope,\n\t\t\t\t\tScopeID:   scopeID,\n\t\t\t\t\tTimestamp: ts,\n\t\t\t\t\tFrequency: cm.Frequency,\n\t\t\t\t\tValue:     float32(v),\n\t\t\t\t})\n\n\t\t\t\tif len(w.batch) >= parquetBatchSize {\n\t\t\t\t\tw.writer.Write(w.batch)\n\t\t\t\t\tw.count += len(w.batch)\n\t\t\t\t\tw.batch = w.batch[:0]\n\t\t\t\t}\n\t\t\t}\n\t\t\tts += cm.Frequency\n\t\t}\n\t}\n\n\t// Sort child names for deterministic order\n\tchildNames := make([]string, 0, len(cf.Children))\n\tfor name := range cf.Children {\n\t\tchildNames = append(childNames, name)\n\t}\n\tsort.Strings(childNames)\n\n\tfor _, childName := range childNames {\n\t\tchildScope, childScopeID := parseScopeFromName(childName)\n\t\tw.writeLevel(cf.Children[childName], cluster, hostname, childScope, childScopeID)\n\t}\n}\n\n// Close finalises the Parquet file (footer, buffered I/O, file handle).\nfunc (w *parquetArchiveWriter) Close() error {\n\tif err := w.writer.Close(); err != nil {\n\t\tw.f.Close()\n\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n\t}\n\n\tif err := w.bw.Flush(); err != nil {\n\t\tw.f.Close()\n\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n\t}\n\n\treturn w.f.Close()\n}\n\n// loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns\n// a CheckpointFile. Used by the Parquet archiver to read checkpoint data\n// before converting it to Parquet format.\nfunc loadCheckpointFileFromDisk(filename string) (*CheckpointFile, error) {\n\tf, err := os.Open(filename)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer f.Close()\n\n\text := filepath.Ext(filename)\n\tswitch ext {\n\tcase \".json\":\n\t\tcf := &CheckpointFile{}\n\t\tbr := bufio.NewReader(f)\n\t\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"decoding JSON checkpoint %s: %w\", filename, err)\n\t\t}\n\t\treturn cf, nil\n\n\tcase \".bin\":\n\t\tbr := bufio.NewReader(f)\n\t\tvar magic uint32\n\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading magic from %s: %w\", filename, err)\n\t\t}\n\t\tif magic != snapFileMagic {\n\t\t\treturn nil, fmt.Errorf(\"invalid snapshot magic in %s: 0x%08X\", filename, magic)\n\t\t}\n\t\tvar fileFrom, fileTo int64\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading from-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading to-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tcf, err := readBinaryLevel(br)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading binary level from %s: %w\", filename, err)\n\t\t}\n\t\tcf.From = fileFrom\n\t\tcf.To = fileTo\n\t\treturn cf, nil\n\n\tdefault:\n\t\treturn nil, fmt.Errorf(\"unsupported checkpoint extension: %s\", ext)\n\t}\n}\n\n// loadCheckpointFiles reads checkpoint files for a host directory and returns\n// the loaded CheckpointFiles and their filenames. Processes one file at a time\n// to avoid holding all checkpoint data in memory simultaneously.\nfunc loadCheckpointFiles(dir string, from int64) ([]*CheckpointFile, []string, error) {\n\tentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tfiles, err := findFiles(entries, from, false)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tif len(files) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\tvar checkpoints []*CheckpointFile\n\tvar processedFiles []string\n\n\tfor _, checkpoint := range files {\n\t\tfilename := filepath.Join(dir, checkpoint)\n\t\tcf, err := loadCheckpointFileFromDisk(filename)\n\t\tif err != nil {\n\t\t\tcontinue\n\t\t}\n\t\tcheckpoints = append(checkpoints, cf)\n\t\tprocessedFiles = append(processedFiles, checkpoint)\n\t}\n\n\treturn checkpoints, processedFiles, nil\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"encoding/binary\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"sort\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\n// ParquetMetricRow is the long-format schema for archived metric data.\n// One row per (host, metric, scope, scope_id, timestamp) data point.\n// Sorted by (cluster, hostname, metric, timestamp) for optimal compression.\ntype ParquetMetricRow struct {\n\tCluster   string  `parquet:\"cluster\"`\n\tHostname  string  `parquet:\"hostname\"`\n\tMetric    string  `parquet:\"metric\"`\n\tScope     string  `parquet:\"scope\"`\n\tScopeID   string  `parquet:\"scope_id\"`\n\tTimestamp int64   `parquet:\"timestamp\"`\n\tFrequency int64   `parquet:\"frequency\"`\n\tValue     float32 `parquet:\"value\"`\n}\n\n// flattenCheckpointFile recursively converts a CheckpointFile tree into Parquet rows.\n// The scope path is built from the hierarchy: host level is \"node\", then child names\n// map to scope/scope_id (e.g., \"socket0\" → scope=\"socket\", scope_id=\"0\").\nfunc flattenCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string, rows []ParquetMetricRow) []ParquetMetricRow {\n\tfor metricName, cm := range cf.Metrics {\n\t\tts := cm.Start\n\t\tfor _, v := range cm.Data {\n\t\t\tif !v.IsNaN() {\n\t\t\t\trows = append(rows, ParquetMetricRow{\n\t\t\t\t\tCluster:   cluster,\n\t\t\t\t\tHostname:  hostname,\n\t\t\t\t\tMetric:    metricName,\n\t\t\t\t\tScope:     scope,\n\t\t\t\t\tScopeID:   scopeID,\n\t\t\t\t\tTimestamp: ts,\n\t\t\t\t\tFrequency: cm.Frequency,\n\t\t\t\t\tValue:     float32(v),\n\t\t\t\t})\n\t\t\t}\n\t\t\tts += cm.Frequency\n\t\t}\n\t}\n\n\tfor childName, childCf := range cf.Children {\n\t\tchildScope, childScopeID := parseScopeFromName(childName)\n\t\trows = flattenCheckpointFile(childCf, cluster, hostname, childScope, childScopeID, rows)\n\t}\n\n\treturn rows\n}\n\n// parseScopeFromName infers scope and scope_id from a child level name.\n// Examples: \"socket0\" → (\"socket\", \"0\"), \"core12\" → (\"core\", \"12\"),\n// \"a0\" (accelerator) → (\"accelerator\", \"0\").\n// If the name doesn't match known patterns, it's used as-is for scope with empty scope_id.\nfunc parseScopeFromName(name string) (string, string) {\n\tprefixes := []struct {\n\t\tprefix string\n\t\tscope  string\n\t}{\n\t\t{\"socket\", \"socket\"},\n\t\t{\"memoryDomain\", \"memoryDomain\"},\n\t\t{\"core\", \"core\"},\n\t\t{\"hwthread\", \"hwthread\"},\n\t\t{\"cpu\", \"hwthread\"},\n\t\t{\"accelerator\", \"accelerator\"},\n\t}\n\n\tfor _, p := range prefixes {\n\t\tif len(name) > len(p.prefix) && name[:len(p.prefix)] == p.prefix {\n\t\t\tid := name[len(p.prefix):]\n\t\t\tif len(id) > 0 && id[0] >= '0' && id[0] <= '9' {\n\t\t\t\treturn p.scope, id\n\t\t\t}\n\t\t}\n\t}\n\n\treturn name, \"\"\n}\n\n// parquetArchiveWriter supports incremental writes to a Parquet file.\n// Each call to WriteHostRows writes one row group (typically one host's data),\n// avoiding accumulation of all rows in memory.\ntype parquetArchiveWriter struct {\n\twriter *pq.GenericWriter[ParquetMetricRow]\n\tbw     *bufio.Writer\n\tf      *os.File\n\tcount  int\n}\n\n// newParquetArchiveWriter creates a streaming Parquet writer with Zstd compression.\nfunc newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error) {\n\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n\t\treturn nil, fmt.Errorf(\"creating archive directory: %w\", err)\n\t}\n\n\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn nil, fmt.Errorf(\"creating parquet file: %w\", err)\n\t}\n\n\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n\n\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n\t\tpq.Compression(&pq.Zstd),\n\t)\n\n\treturn &parquetArchiveWriter{writer: writer, bw: bw, f: f}, nil\n}\n\n// WriteHostRows sorts rows by (metric, timestamp) in-place, writes them,\n// and flushes to create a separate row group.\nfunc (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error {\n\tsort.Slice(rows, func(i, j int) bool {\n\t\tif rows[i].Metric != rows[j].Metric {\n\t\t\treturn rows[i].Metric < rows[j].Metric\n\t\t}\n\t\treturn rows[i].Timestamp < rows[j].Timestamp\n\t})\n\n\tif _, err := w.writer.Write(rows); err != nil {\n\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n\t}\n\n\tif err := w.writer.Flush(); err != nil {\n\t\treturn fmt.Errorf(\"flushing parquet row group: %w\", err)\n\t}\n\n\tw.count += len(rows)\n\treturn nil\n}\n\n// Close finalises the Parquet file (footer, buffered I/O, file handle).\nfunc (w *parquetArchiveWriter) Close() error {\n\tif err := w.writer.Close(); err != nil {\n\t\tw.f.Close()\n\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n\t}\n\n\tif err := w.bw.Flush(); err != nil {\n\t\tw.f.Close()\n\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n\t}\n\n\treturn w.f.Close()\n}\n\n// sortParquetRows sorts rows by (metric, timestamp) in-place.\nfunc sortParquetRows(rows []ParquetMetricRow) {\n\tsort.Slice(rows, func(i, j int) bool {\n\t\tif rows[i].Metric != rows[j].Metric {\n\t\t\treturn rows[i].Metric < rows[j].Metric\n\t\t}\n\t\treturn rows[i].Timestamp < rows[j].Timestamp\n\t})\n}\n\n// loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns\n// a CheckpointFile. Used by the Parquet archiver to read checkpoint data\n// before converting it to Parquet format.\nfunc loadCheckpointFileFromDisk(filename string) (*CheckpointFile, error) {\n\tf, err := os.Open(filename)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer f.Close()\n\n\text := filepath.Ext(filename)\n\tswitch ext {\n\tcase \".json\":\n\t\tcf := &CheckpointFile{}\n\t\tbr := bufio.NewReader(f)\n\t\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"decoding JSON checkpoint %s: %w\", filename, err)\n\t\t}\n\t\treturn cf, nil\n\n\tcase \".bin\":\n\t\tbr := bufio.NewReader(f)\n\t\tvar magic uint32\n\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading magic from %s: %w\", filename, err)\n\t\t}\n\t\tif magic != snapFileMagic {\n\t\t\treturn nil, fmt.Errorf(\"invalid snapshot magic in %s: 0x%08X\", filename, magic)\n\t\t}\n\t\tvar fileFrom, fileTo int64\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading from-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading to-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tcf, err := readBinaryLevel(br)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading binary level from %s: %w\", filename, err)\n\t\t}\n\t\tcf.From = fileFrom\n\t\tcf.To = fileTo\n\t\treturn cf, nil\n\n\tdefault:\n\t\treturn nil, fmt.Errorf(\"unsupported checkpoint extension: %s\", ext)\n\t}\n}\n\n// estimateRowCount estimates the number of Parquet rows a CheckpointFile will produce.\n// Used for pre-allocating the rows slice to avoid repeated append doubling.\nfunc estimateRowCount(cf *CheckpointFile) int {\n\tn := 0\n\tfor _, cm := range cf.Metrics {\n\t\tn += len(cm.Data)\n\t}\n\tfor _, child := range cf.Children {\n\t\tn += estimateRowCount(child)\n\t}\n\treturn n\n}\n\n// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n// converts them to Parquet rows. Returns the rows and filenames that were processed.\nfunc archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n\tentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tfiles, err := findFiles(entries, from, false)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tif len(files) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\t// First pass: load checkpoints and estimate total rows for pre-allocation.\n\ttype loaded struct {\n\t\tcf       *CheckpointFile\n\t\tfilename string\n\t}\n\tvar checkpoints []loaded\n\ttotalEstimate := 0\n\n\tfor _, checkpoint := range files {\n\t\tfilename := filepath.Join(dir, checkpoint)\n\t\tcf, err := loadCheckpointFileFromDisk(filename)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n\t\t\tcontinue\n\t\t}\n\t\ttotalEstimate += estimateRowCount(cf)\n\t\tcheckpoints = append(checkpoints, loaded{cf: cf, filename: checkpoint})\n\t}\n\n\tif len(checkpoints) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\trows := make([]ParquetMetricRow, 0, totalEstimate)\n\tprocessedFiles := make([]string, 0, len(checkpoints))\n\n\tfor _, cp := range checkpoints {\n\t\trows = flattenCheckpointFile(cp.cf, cluster, host, \"node\", \"\", rows)\n\t\tprocessedFiles = append(processedFiles, cp.filename)\n\t}\n\n\treturn rows, processedFiles, nil\n}\n","structuredPatch":[{"oldStart":14,"oldLines":7,"newStart":14,"newLines":6,"lines":["   \"path/filepath\"","   \"sort\""," ","-  cclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"","   pq \"github.com/parquet-go/parquet-go\""," )"," "]},{"oldStart":32,"oldLines":37,"newStart":31,"newLines":6,"lines":["   Value     float32 `parquet:\"value\"`"," }"," ","-// flattenCheckpointFile recursively converts a CheckpointFile tree into Parquet rows.","-// The scope path is built from the hierarchy: host level is \"node\", then child names","-// map to scope/scope_id (e.g., \"socket0\" → scope=\"socket\", scope_id=\"0\").","-func flattenCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string, rows []ParquetMetricRow) []ParquetMetricRow {","-  for metricName, cm := range cf.Metrics {","-    ts := cm.Start","-    for _, v := range cm.Data {","-      if !v.IsNaN() {","-        rows = append(rows, ParquetMetricRow{","-          Cluster:   cluster,","-          Hostname:  hostname,","-          Metric:    metricName,","-          Scope:     scope,","-          ScopeID:   scopeID,","-          Timestamp: ts,","-          Frequency: cm.Frequency,","-          Value:     float32(v),","-        })","-      }","-      ts += cm.Frequency","-    }","-  }","-","-  for childName, childCf := range cf.Children {","-    childScope, childScopeID := parseScopeFromName(childName)","-    rows = flattenCheckpointFile(childCf, cluster, hostname, childScope, childScopeID, rows)","-  }","-","-  return rows","-}","-"," // parseScopeFromName infers scope and scope_id from a child level name."," // Examples: \"socket0\" → (\"socket\", \"0\"), \"core12\" → (\"core\", \"12\"),"," // \"a0\" (accelerator) → (\"accelerator\", \"0\")."]},{"oldStart":93,"oldLines":15,"newStart":61,"newLines":17,"lines":[" }"," "," // parquetArchiveWriter supports incremental writes to a Parquet file.","-// Each call to WriteHostRows writes one row group (typically one host's data),","-// avoiding accumulation of all rows in memory.","+// Uses streaming writes to avoid accumulating all rows in memory."," type parquetArchiveWriter struct {","   writer *pq.GenericWriter[ParquetMetricRow]","   bw     *bufio.Writer","   f      *os.File","+  batch  []ParquetMetricRow // reusable batch buffer","   count  int"," }"," ","+const parquetBatchSize = 1024","+"," // newParquetArchiveWriter creates a streaming Parquet writer with Zstd compression."," func newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error) {","   if err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {"]},{"oldStart":119,"oldLines":31,"newStart":89,"newLines":85,"lines":["     pq.Compression(&pq.Zstd),","   )"," ","-  return &parquetArchiveWriter{writer: writer, bw: bw, f: f}, nil","+  return &parquetArchiveWriter{","+    writer: writer,","+    bw:     bw,","+    f:      f,","+    batch:  make([]ParquetMetricRow, 0, parquetBatchSize),","+  }, nil"," }"," ","-// WriteHostRows sorts rows by (metric, timestamp) in-place, writes them,","-// and flushes to create a separate row group.","-func (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error {","-  sort.Slice(rows, func(i, j int) bool {","-    if rows[i].Metric != rows[j].Metric {","-      return rows[i].Metric < rows[j].Metric","-    }","-    return rows[i].Timestamp < rows[j].Timestamp","-  })","+// WriteCheckpointFile streams a CheckpointFile tree directly to Parquet rows,","+// writing metrics in sorted order without materializing all rows in memory.","+// Produces one row group per call (typically one host's data).","+func (w *parquetArchiveWriter) WriteCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string) error {","+  w.writeLevel(cf, cluster, hostname, scope, scopeID)"," ","-  if _, err := w.writer.Write(rows); err != nil {","-    return fmt.Errorf(\"writing parquet rows: %w\", err)","+  // Flush remaining batch","+  if len(w.batch) > 0 {","+    if _, err := w.writer.Write(w.batch); err != nil {","+      return fmt.Errorf(\"writing parquet rows: %w\", err)","+    }","+    w.count += len(w.batch)","+    w.batch = w.batch[:0]","   }"," ","   if err := w.writer.Flush(); err != nil {","     return fmt.Errorf(\"flushing parquet row group: %w\", err)","   }"," ","-  w.count += len(rows)","   return nil"," }"," ","+// writeLevel recursively writes metrics from a CheckpointFile level.","+// Metric names and child names are sorted for deterministic, compression-friendly output.","+func (w *parquetArchiveWriter) writeLevel(cf *CheckpointFile, cluster, hostname, scope, scopeID string) {","+  // Sort metric names for deterministic order","+  metricNames := make([]string, 0, len(cf.Metrics))","+  for name := range cf.Metrics {","+    metricNames = append(metricNames, name)","+  }","+  sort.Strings(metricNames)","+","+  for _, metricName := range metricNames {","+    cm := cf.Metrics[metricName]","+    ts := cm.Start","+    for _, v := range cm.Data {","+      if !v.IsNaN() {","+        w.batch = append(w.batch, ParquetMetricRow{","+          Cluster:   cluster,","+          Hostname:  hostname,","+          Metric:    metricName,","+          Scope:     scope,","+          ScopeID:   scopeID,","+          Timestamp: ts,","+          Frequency: cm.Frequency,","+          Value:     float32(v),","+        })","+","+        if len(w.batch) >= parquetBatchSize {","+          w.writer.Write(w.batch)","+          w.count += len(w.batch)","+          w.batch = w.batch[:0]","+        }","+      }","+      ts += cm.Frequency","+    }","+  }","+","+  // Sort child names for deterministic order","+  childNames := make([]string, 0, len(cf.Children))","+  for name := range cf.Children {","+    childNames = append(childNames, name)","+  }","+  sort.Strings(childNames)","+","+  for _, childName := range childNames {","+    childScope, childScopeID := parseScopeFromName(childName)","+    w.writeLevel(cf.Children[childName], cluster, hostname, childScope, childScopeID)","+  }","+}","+"," // Close finalises the Parquet file (footer, buffered I/O, file handle)."," func (w *parquetArchiveWriter) Close() error {","   if err := w.writer.Close(); err != nil {"]},{"oldStart":159,"oldLines":16,"newStart":183,"newLines":6,"lines":["   return w.f.Close()"," }"," ","-// sortParquetRows sorts rows by (metric, timestamp) in-place.","-func sortParquetRows(rows []ParquetMetricRow) {","-  sort.Slice(rows, func(i, j int) bool {","-    if rows[i].Metric != rows[j].Metric {","-      return rows[i].Metric < rows[j].Metric","-    }","-    return rows[i].Timestamp < rows[j].Timestamp","-  })","-}","-"," // loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns"," // a CheckpointFile. Used by the Parquet archiver to read checkpoint data"," // before converting it to Parquet format."]},{"oldStart":218,"oldLines":22,"newStart":232,"newLines":10,"lines":["   }"," }"," ","-// estimateRowCount estimates the number of Parquet rows a CheckpointFile will produce.","-// Used for pre-allocating the rows slice to avoid repeated append doubling.","-func estimateRowCount(cf *CheckpointFile) int {","-  n := 0","-  for _, cm := range cf.Metrics {","-    n += len(cm.Data)","-  }","-  for _, child := range cf.Children {","-    n += estimateRowCount(child)","-  }","-  return n","-}","-","-// archiveCheckpointsToParquet reads checkpoint files for a host directory,","-// converts them to Parquet rows. Returns the rows and filenames that were processed.","-func archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {","+// loadCheckpointFiles reads checkpoint files for a host directory and returns","+// the loaded CheckpointFiles and their filenames. Processes one file at a time","+// to avoid holding all checkpoint data in memory simultaneously.","+func loadCheckpointFiles(dir string, from int64) ([]*CheckpointFile, []string, error) {","   entries, err := os.ReadDir(dir)","   if err != nil {","     return nil, nil, err"]},{"oldStart":248,"oldLines":36,"newStart":250,"newLines":18,"lines":["     return nil, nil, nil","   }"," ","-  // First pass: load checkpoints and estimate total rows for pre-allocation.","-  type loaded struct {","-    cf       *CheckpointFile","-    filename string","-  }","-  var checkpoints []loaded","-  totalEstimate := 0","+  var checkpoints []*CheckpointFile","+  var processedFiles []string"," ","   for _, checkpoint := range files {","     filename := filepath.Join(dir, checkpoint)","     cf, err := loadCheckpointFileFromDisk(filename)","     if err != nil {","-      cclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)","       continue","     }","-    totalEstimate += estimateRowCount(cf)","-    checkpoints = append(checkpoints, loaded{cf: cf, filename: checkpoint})","+    checkpoints = append(checkpoints, cf)","+    processedFiles = append(processedFiles, checkpoint)","   }"," ","-  if len(checkpoints) == 0 {","-    return nil, nil, nil","-  }","-","-  rows := make([]ParquetMetricRow, 0, totalEstimate)","-  processedFiles := make([]string, 0, len(checkpoints))","-","-  for _, cp := range checkpoints {","-    rows = flattenCheckpointFile(cp.cf, cluster, host, \"node\", \"\", rows)","-    processedFiles = append(processedFiles, cp.filename)","-  }","-","-  return rows, processedFiles, nil","+  return checkpoints, processedFiles, nil"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"e62421ce-efe5-480a-bdfb-67aa19cc67ad","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"ca36eb3e-bede-40f6-9e44-1f9cadea21ae","version":"2.1.78","gitBranch":"hotfix","slug":"transient-jingling-storm"}
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+{"parentUuid":"72a208ac-844d-4da9-9edb-a4873c5f0f1a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Dr9VnDKfBdoCxTp5ZY6JHf","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EtGCDCsAmDwHaVqkXERkoa","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/archive.go","old_string":"// archiveCheckpoints archives checkpoint files to Parquet format.\n// Produces one Parquet file per cluster: <cleanupDir>/<cluster>/<timestamp>.parquet\n// Each host's rows are written as a separate row group to avoid accumulating\n// all data in memory at once.\nfunc archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n\tcclog.Info(\"[METRICSTORE]> start archiving checkpoints to parquet\")\n\tstartTime := time.Now()\n\n\tclusterEntries, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttotalFiles := 0\n\n\tfor _, clusterEntry := range clusterEntries {\n\t\tif !clusterEntry.IsDir() {\n\t\t\tcontinue\n\t\t}\n\n\t\tcluster := clusterEntry.Name()\n\t\thostEntries, err := os.ReadDir(filepath.Join(checkpointsDir, cluster))\n\t\tif err != nil {\n\t\t\treturn totalFiles, err\n\t\t}\n\n\t\t// Stream per-host rows to parquet writer via worker pool\n\t\ttype hostResult struct {\n\t\t\trows  []ParquetMetricRow\n\t\t\tfiles []string // checkpoint filenames to delete after successful write\n\t\t\tdir   string   // checkpoint directory for this host\n\t\t}\n\n\t\tresults := make(chan hostResult, len(hostEntries))\n\t\twork := make(chan struct {\n\t\t\tdir, host string\n\t\t}, Keys.NumWorkers)\n\n\t\tvar wg sync.WaitGroup\n\t\terrs := int32(0)\n\n\t\twg.Add(Keys.NumWorkers)\n\t\tfor w := 0; w < Keys.NumWorkers; w++ {\n\t\t\tgo func() {\n\t\t\t\tdefer wg.Done()\n\t\t\t\tfor item := range work {\n\t\t\t\t\trows, files, err := archiveCheckpointsToParquet(item.dir, cluster, item.host, from)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tif len(rows) > 0 {\n\t\t\t\t\t\tresults <- hostResult{rows: rows, files: files, dir: item.dir}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\t\t}\n\n\t\tgo func() {\n\t\t\tfor _, hostEntry := range hostEntries {\n\t\t\t\tif !hostEntry.IsDir() {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tdir := filepath.Join(checkpointsDir, cluster, hostEntry.Name())\n\t\t\t\twork <- struct {\n\t\t\t\t\tdir, host string\n\t\t\t\t}{dir: dir, host: hostEntry.Name()}\n\t\t\t}\n\t\t\tclose(work)\n\t\t\twg.Wait()\n\t\t\tclose(results)\n\t\t}()\n\n\t\t// Open streaming writer and write each host's rows as a row group\n\t\tparquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))\n\t\twriter, err := newParquetArchiveWriter(parquetFile)\n\t\tif err != nil {\n\t\t\t// Drain results channel to unblock workers\n\t\t\tfor range results {\n\t\t\t}\n\t\t\treturn totalFiles, fmt.Errorf(\"creating parquet writer for cluster %s: %w\", cluster, err)\n\t\t}\n\n\t\ttype deleteItem struct {\n\t\t\tdir   string\n\t\t\tfiles []string\n\t\t}\n\t\tvar toDelete []deleteItem\n\t\twriteErr := error(nil)\n\n\t\tfor r := range results {\n\t\t\tif writeErr == nil {\n\t\t\t\tsortParquetRows(r.rows)\n\t\t\t\tif err := writer.WriteHostRows(r.rows); err != nil {\n\t\t\t\t\twriteErr = err\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Always track files for deletion (even if write failed, we still drain)\n\t\t\ttoDelete = append(toDelete, deleteItem{dir: r.dir, files: r.files})\n\t\t}\n\n\t\tif err := writer.Close(); err != nil && writeErr == nil {\n\t\t\twriteErr = err\n\t\t}\n\n\t\tif errs > 0 {\n\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n\t\t}\n\n\t\tif writer.count == 0 {\n\t\t\t// No data written — remove empty file\n\t\t\tos.Remove(parquetFile)\n\t\t\tcontinue\n\t\t}\n\n\t\tif writeErr != nil {\n\t\t\tos.Remove(parquetFile)\n\t\t\treturn totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, writeErr)\n\t\t}\n\n\t\t// Delete archived checkpoint files\n\t\tfor _, item := range toDelete {\n\t\t\tfor _, file := range item.files {\n\t\t\t\tfilename := filepath.Join(item.dir, file)\n\t\t\t\tif err := os.Remove(filename); err != nil {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n\t\t\t\t} else {\n\t\t\t\t\ttotalFiles++\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n\t\t\twriter.count, totalFiles, cluster, parquetFile)\n\t}\n\n\tcclog.Infof(\"[METRICSTORE]> archiving checkpoints completed in %s (%d files)\", time.Since(startTime).Round(time.Millisecond), totalFiles)\n\treturn totalFiles, nil\n}","new_string":"// archiveCheckpoints archives checkpoint files to Parquet format.\n// Produces one Parquet file per cluster: <cleanupDir>/<cluster>/<timestamp>.parquet\n// Workers load checkpoint files from disk and send CheckpointFile trees on a\n// back-pressured channel. The main thread streams each tree directly to Parquet\n// rows without materializing all rows in memory.\nfunc archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n\tcclog.Info(\"[METRICSTORE]> start archiving checkpoints to parquet\")\n\tstartTime := time.Now()\n\n\tclusterEntries, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttotalFiles := 0\n\n\tfor _, clusterEntry := range clusterEntries {\n\t\tif !clusterEntry.IsDir() {\n\t\t\tcontinue\n\t\t}\n\n\t\tcluster := clusterEntry.Name()\n\t\thostEntries, err := os.ReadDir(filepath.Join(checkpointsDir, cluster))\n\t\tif err != nil {\n\t\t\treturn totalFiles, err\n\t\t}\n\n\t\t// Workers load checkpoint files from disk; main thread writes to parquet.\n\t\ttype hostResult struct {\n\t\t\tcheckpoints []*CheckpointFile\n\t\t\thostname    string\n\t\t\tfiles       []string // checkpoint filenames to delete after successful write\n\t\t\tdir         string   // checkpoint directory for this host\n\t\t}\n\n\t\t// Small buffer provides back-pressure: at most NumWorkers+2 results in flight.\n\t\tresults := make(chan hostResult, 2)\n\t\twork := make(chan struct {\n\t\t\tdir, host string\n\t\t}, Keys.NumWorkers)\n\n\t\tvar wg sync.WaitGroup\n\t\terrs := int32(0)\n\n\t\twg.Add(Keys.NumWorkers)\n\t\tfor w := 0; w < Keys.NumWorkers; w++ {\n\t\t\tgo func() {\n\t\t\t\tdefer wg.Done()\n\t\t\t\tfor item := range work {\n\t\t\t\t\tcheckpoints, files, err := loadCheckpointFiles(item.dir, from)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tif len(checkpoints) > 0 {\n\t\t\t\t\t\tresults <- hostResult{\n\t\t\t\t\t\t\tcheckpoints: checkpoints,\n\t\t\t\t\t\t\thostname:    item.host,\n\t\t\t\t\t\t\tfiles:       files,\n\t\t\t\t\t\t\tdir:         item.dir,\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\t\t}\n\n\t\tgo func() {\n\t\t\tfor _, hostEntry := range hostEntries {\n\t\t\t\tif !hostEntry.IsDir() {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tdir := filepath.Join(checkpointsDir, cluster, hostEntry.Name())\n\t\t\t\twork <- struct {\n\t\t\t\t\tdir, host string\n\t\t\t\t}{dir: dir, host: hostEntry.Name()}\n\t\t\t}\n\t\t\tclose(work)\n\t\t\twg.Wait()\n\t\t\tclose(results)\n\t\t}()\n\n\t\t// Open streaming writer and write each host's checkpoint files as a row group\n\t\tparquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))\n\t\twriter, err := newParquetArchiveWriter(parquetFile)\n\t\tif err != nil {\n\t\t\t// Drain results channel to unblock workers\n\t\t\tfor range results {\n\t\t\t}\n\t\t\treturn totalFiles, fmt.Errorf(\"creating parquet writer for cluster %s: %w\", cluster, err)\n\t\t}\n\n\t\ttype deleteItem struct {\n\t\t\tdir   string\n\t\t\tfiles []string\n\t\t}\n\t\tvar toDelete []deleteItem\n\t\twriteErr := error(nil)\n\n\t\tfor r := range results {\n\t\t\tif writeErr == nil {\n\t\t\t\t// Stream each checkpoint file directly to parquet rows.\n\t\t\t\t// Each checkpoint is processed and discarded before the next.\n\t\t\t\tfor _, cf := range r.checkpoints {\n\t\t\t\t\tif err := writer.WriteCheckpointFile(cf, cluster, r.hostname, \"node\", \"\"); err != nil {\n\t\t\t\t\t\twriteErr = err\n\t\t\t\t\t\tbreak\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Always track files for deletion (even if write failed, we still drain)\n\t\t\ttoDelete = append(toDelete, deleteItem{dir: r.dir, files: r.files})\n\t\t}\n\n\t\tif err := writer.Close(); err != nil && writeErr == nil {\n\t\t\twriteErr = err\n\t\t}\n\n\t\tif errs > 0 {\n\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n\t\t}\n\n\t\tif writer.count == 0 {\n\t\t\t// No data written — remove empty file\n\t\t\tos.Remove(parquetFile)\n\t\t\tcontinue\n\t\t}\n\n\t\tif writeErr != nil {\n\t\t\tos.Remove(parquetFile)\n\t\t\treturn totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, writeErr)\n\t\t}\n\n\t\t// Delete archived checkpoint files\n\t\tfor _, item := range toDelete {\n\t\t\tfor _, file := range item.files {\n\t\t\t\tfilename := filepath.Join(item.dir, file)\n\t\t\t\tif err := os.Remove(filename); err != nil {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n\t\t\t\t} else {\n\t\t\t\t\ttotalFiles++\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n\t\t\twriter.count, totalFiles, cluster, parquetFile)\n\t}\n\n\tcclog.Infof(\"[METRICSTORE]> archiving checkpoints completed in %s (%d files)\", time.Since(startTime).Round(time.Millisecond), totalFiles)\n\treturn totalFiles, nil\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":6054,"cache_read_input_tokens":38059,"output_tokens":2854,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":6054,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZArsQJtrHCKCi2rKKw2L","type":"assistant","uuid":"e4726293-85fa-4e90-94d8-63714ab09bac","timestamp":"2026-03-18T16:28:31.858Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"ca36eb3e-bede-40f6-9e44-1f9cadea21ae","version":"2.1.78","gitBranch":"hotfix","slug":"transient-jingling-storm"}
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+{"parentUuid":"e4726293-85fa-4e90-94d8-63714ab09bac","isSidechain":false,"promptId":"a0100614-6c1c-4f22-9718-4c52a4866f7f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EtGCDCsAmDwHaVqkXERkoa","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/archive.go has been updated successfully."}]},"uuid":"f4c70b5b-a729-4427-a5e3-46f195341558","timestamp":"2026-03-18T16:28:31.867Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/archive.go","oldString":"// archiveCheckpoints archives checkpoint files to Parquet format.\n// Produces one Parquet file per cluster: <cleanupDir>/<cluster>/<timestamp>.parquet\n// Each host's rows are written as a separate row group to avoid accumulating\n// all data in memory at once.\nfunc archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n\tcclog.Info(\"[METRICSTORE]> start archiving checkpoints to parquet\")\n\tstartTime := time.Now()\n\n\tclusterEntries, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttotalFiles := 0\n\n\tfor _, clusterEntry := range clusterEntries {\n\t\tif !clusterEntry.IsDir() {\n\t\t\tcontinue\n\t\t}\n\n\t\tcluster := clusterEntry.Name()\n\t\thostEntries, err := os.ReadDir(filepath.Join(checkpointsDir, cluster))\n\t\tif err != nil {\n\t\t\treturn totalFiles, err\n\t\t}\n\n\t\t// Stream per-host rows to parquet writer via worker pool\n\t\ttype hostResult struct {\n\t\t\trows  []ParquetMetricRow\n\t\t\tfiles []string // checkpoint filenames to delete after successful write\n\t\t\tdir   string   // checkpoint directory for this host\n\t\t}\n\n\t\tresults := make(chan hostResult, len(hostEntries))\n\t\twork := make(chan struct {\n\t\t\tdir, host string\n\t\t}, Keys.NumWorkers)\n\n\t\tvar wg sync.WaitGroup\n\t\terrs := int32(0)\n\n\t\twg.Add(Keys.NumWorkers)\n\t\tfor w := 0; w < Keys.NumWorkers; w++ {\n\t\t\tgo func() {\n\t\t\t\tdefer wg.Done()\n\t\t\t\tfor item := range work {\n\t\t\t\t\trows, files, err := archiveCheckpointsToParquet(item.dir, cluster, item.host, from)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tif len(rows) > 0 {\n\t\t\t\t\t\tresults <- hostResult{rows: rows, files: files, dir: item.dir}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\t\t}\n\n\t\tgo func() {\n\t\t\tfor _, hostEntry := range hostEntries {\n\t\t\t\tif !hostEntry.IsDir() {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tdir := filepath.Join(checkpointsDir, cluster, hostEntry.Name())\n\t\t\t\twork <- struct {\n\t\t\t\t\tdir, host string\n\t\t\t\t}{dir: dir, host: hostEntry.Name()}\n\t\t\t}\n\t\t\tclose(work)\n\t\t\twg.Wait()\n\t\t\tclose(results)\n\t\t}()\n\n\t\t// Open streaming writer and write each host's rows as a row group\n\t\tparquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))\n\t\twriter, err := newParquetArchiveWriter(parquetFile)\n\t\tif err != nil {\n\t\t\t// Drain results channel to unblock workers\n\t\t\tfor range results {\n\t\t\t}\n\t\t\treturn totalFiles, fmt.Errorf(\"creating parquet writer for cluster %s: %w\", cluster, err)\n\t\t}\n\n\t\ttype deleteItem struct {\n\t\t\tdir   string\n\t\t\tfiles []string\n\t\t}\n\t\tvar toDelete []deleteItem\n\t\twriteErr := error(nil)\n\n\t\tfor r := range results {\n\t\t\tif writeErr == nil {\n\t\t\t\tsortParquetRows(r.rows)\n\t\t\t\tif err := writer.WriteHostRows(r.rows); err != nil {\n\t\t\t\t\twriteErr = err\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Always track files for deletion (even if write failed, we still drain)\n\t\t\ttoDelete = append(toDelete, deleteItem{dir: r.dir, files: r.files})\n\t\t}\n\n\t\tif err := writer.Close(); err != nil && writeErr == nil {\n\t\t\twriteErr = err\n\t\t}\n\n\t\tif errs > 0 {\n\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n\t\t}\n\n\t\tif writer.count == 0 {\n\t\t\t// No data written — remove empty file\n\t\t\tos.Remove(parquetFile)\n\t\t\tcontinue\n\t\t}\n\n\t\tif writeErr != nil {\n\t\t\tos.Remove(parquetFile)\n\t\t\treturn totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, writeErr)\n\t\t}\n\n\t\t// Delete archived checkpoint files\n\t\tfor _, item := range toDelete {\n\t\t\tfor _, file := range item.files {\n\t\t\t\tfilename := filepath.Join(item.dir, file)\n\t\t\t\tif err := os.Remove(filename); err != nil {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n\t\t\t\t} else {\n\t\t\t\t\ttotalFiles++\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n\t\t\twriter.count, totalFiles, cluster, parquetFile)\n\t}\n\n\tcclog.Infof(\"[METRICSTORE]> archiving checkpoints completed in %s (%d files)\", time.Since(startTime).Round(time.Millisecond), totalFiles)\n\treturn totalFiles, nil\n}","newString":"// archiveCheckpoints archives checkpoint files to Parquet format.\n// Produces one Parquet file per cluster: <cleanupDir>/<cluster>/<timestamp>.parquet\n// Workers load checkpoint files from disk and send CheckpointFile trees on a\n// back-pressured channel. The main thread streams each tree directly to Parquet\n// rows without materializing all rows in memory.\nfunc archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n\tcclog.Info(\"[METRICSTORE]> start archiving checkpoints to parquet\")\n\tstartTime := time.Now()\n\n\tclusterEntries, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttotalFiles := 0\n\n\tfor _, clusterEntry := range clusterEntries {\n\t\tif !clusterEntry.IsDir() {\n\t\t\tcontinue\n\t\t}\n\n\t\tcluster := clusterEntry.Name()\n\t\thostEntries, err := os.ReadDir(filepath.Join(checkpointsDir, cluster))\n\t\tif err != nil {\n\t\t\treturn totalFiles, err\n\t\t}\n\n\t\t// Workers load checkpoint files from disk; main thread writes to parquet.\n\t\ttype hostResult struct {\n\t\t\tcheckpoints []*CheckpointFile\n\t\t\thostname    string\n\t\t\tfiles       []string // checkpoint filenames to delete after successful write\n\t\t\tdir         string   // checkpoint directory for this host\n\t\t}\n\n\t\t// Small buffer provides back-pressure: at most NumWorkers+2 results in flight.\n\t\tresults := make(chan hostResult, 2)\n\t\twork := make(chan struct {\n\t\t\tdir, host string\n\t\t}, Keys.NumWorkers)\n\n\t\tvar wg sync.WaitGroup\n\t\terrs := int32(0)\n\n\t\twg.Add(Keys.NumWorkers)\n\t\tfor w := 0; w < Keys.NumWorkers; w++ {\n\t\t\tgo func() {\n\t\t\t\tdefer wg.Done()\n\t\t\t\tfor item := range work {\n\t\t\t\t\tcheckpoints, files, err := loadCheckpointFiles(item.dir, from)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tif len(checkpoints) > 0 {\n\t\t\t\t\t\tresults <- hostResult{\n\t\t\t\t\t\t\tcheckpoints: checkpoints,\n\t\t\t\t\t\t\thostname:    item.host,\n\t\t\t\t\t\t\tfiles:       files,\n\t\t\t\t\t\t\tdir:         item.dir,\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\t\t}\n\n\t\tgo func() {\n\t\t\tfor _, hostEntry := range hostEntries {\n\t\t\t\tif !hostEntry.IsDir() {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tdir := filepath.Join(checkpointsDir, cluster, hostEntry.Name())\n\t\t\t\twork <- struct {\n\t\t\t\t\tdir, host string\n\t\t\t\t}{dir: dir, host: hostEntry.Name()}\n\t\t\t}\n\t\t\tclose(work)\n\t\t\twg.Wait()\n\t\t\tclose(results)\n\t\t}()\n\n\t\t// Open streaming writer and write each host's checkpoint files as a row group\n\t\tparquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))\n\t\twriter, err := newParquetArchiveWriter(parquetFile)\n\t\tif err != nil {\n\t\t\t// Drain results channel to unblock workers\n\t\t\tfor range results {\n\t\t\t}\n\t\t\treturn totalFiles, fmt.Errorf(\"creating parquet writer for cluster %s: %w\", cluster, err)\n\t\t}\n\n\t\ttype deleteItem struct {\n\t\t\tdir   string\n\t\t\tfiles []string\n\t\t}\n\t\tvar toDelete []deleteItem\n\t\twriteErr := error(nil)\n\n\t\tfor r := range results {\n\t\t\tif writeErr == nil {\n\t\t\t\t// Stream each checkpoint file directly to parquet rows.\n\t\t\t\t// Each checkpoint is processed and discarded before the next.\n\t\t\t\tfor _, cf := range r.checkpoints {\n\t\t\t\t\tif err := writer.WriteCheckpointFile(cf, cluster, r.hostname, \"node\", \"\"); err != nil {\n\t\t\t\t\t\twriteErr = err\n\t\t\t\t\t\tbreak\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Always track files for deletion (even if write failed, we still drain)\n\t\t\ttoDelete = append(toDelete, deleteItem{dir: r.dir, files: r.files})\n\t\t}\n\n\t\tif err := writer.Close(); err != nil && writeErr == nil {\n\t\t\twriteErr = err\n\t\t}\n\n\t\tif errs > 0 {\n\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n\t\t}\n\n\t\tif writer.count == 0 {\n\t\t\t// No data written — remove empty file\n\t\t\tos.Remove(parquetFile)\n\t\t\tcontinue\n\t\t}\n\n\t\tif writeErr != nil {\n\t\t\tos.Remove(parquetFile)\n\t\t\treturn totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, writeErr)\n\t\t}\n\n\t\t// Delete archived checkpoint files\n\t\tfor _, item := range toDelete {\n\t\t\tfor _, file := range item.files {\n\t\t\t\tfilename := filepath.Join(item.dir, file)\n\t\t\t\tif err := os.Remove(filename); err != nil {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n\t\t\t\t} else {\n\t\t\t\t\ttotalFiles++\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n\t\t\twriter.count, totalFiles, cluster, parquetFile)\n\t}\n\n\tcclog.Infof(\"[METRICSTORE]> archiving checkpoints completed in %s (%d files)\", time.Since(startTime).Round(time.Millisecond), totalFiles)\n\treturn totalFiles, nil\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"sync\"\n\t\"sync/atomic\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n)\n\n// Worker for either Archiving or Deleting files\n\nfunc CleanUp(wg *sync.WaitGroup, ctx context.Context) {\n\tif Keys.Cleanup.Mode == \"archive\" {\n\t\t// Run as Archiver\n\t\tcleanUpWorker(wg, ctx,\n\t\t\tKeys.RetentionInMemory,\n\t\t\t\"archiving\",\n\t\t\tKeys.Cleanup.RootDir,\n\t\t\tfalse,\n\t\t)\n\t} else {\n\t\t// Run as Deleter\n\t\tcleanUpWorker(wg, ctx,\n\t\t\tKeys.RetentionInMemory,\n\t\t\t\"deleting\",\n\t\t\t\"\",\n\t\t\ttrue,\n\t\t)\n\t}\n}\n\n// cleanUpWorker takes simple values to configure what it does\nfunc cleanUpWorker(wg *sync.WaitGroup, ctx context.Context, interval string, mode string, cleanupDir string, delete bool) {\n\twg.Go(func() {\n\n\t\td, err := time.ParseDuration(interval)\n\t\tif err != nil {\n\t\t\tcclog.Fatalf(\"[METRICSTORE]> error parsing %s interval duration: %v\\n\", mode, err)\n\t\t}\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(d)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tt := time.Now().Add(-d)\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start %s checkpoints (older than %s)...\", mode, t.Format(time.RFC3339))\n\n\t\t\t\tn, err := CleanupCheckpoints(Keys.Checkpoints.RootDir, cleanupDir, t.Unix(), delete)\n\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> %s failed: %s\", mode, err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tif delete {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoints deleted\", n)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files archived to parquet\", n)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\nvar ErrNoNewArchiveData error = errors.New(\"all data already archived\")\n\n// CleanupCheckpoints deletes or archives all checkpoint files older than `from`.\n// When archiving, consolidates all hosts per cluster into a single Parquet file.\nfunc CleanupCheckpoints(checkpointsDir, cleanupDir string, from int64, deleteInstead bool) (int, error) {\n\tif deleteInstead {\n\t\treturn deleteCheckpoints(checkpointsDir, from)\n\t}\n\n\treturn archiveCheckpoints(checkpointsDir, cleanupDir, from)\n}\n\n// deleteCheckpoints removes checkpoint files older than `from` across all clusters/hosts.\nfunc deleteCheckpoints(checkpointsDir string, from int64) (int, error) {\n\tentries1, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttype workItem struct {\n\t\tdir            string\n\t\tcluster, host  string\n\t}\n\n\tvar wg sync.WaitGroup\n\tn, errs := int32(0), int32(0)\n\twork := make(chan workItem, Keys.NumWorkers)\n\n\twg.Add(Keys.NumWorkers)\n\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor item := range work {\n\t\t\t\tentries, err := os.ReadDir(item.dir)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"error reading %s/%s: %s\", item.cluster, item.host, err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tfiles, err := findFiles(entries, from, false)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"error finding files in %s/%s: %s\", item.cluster, item.host, err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tfor _, checkpoint := range files {\n\t\t\t\t\tif err := os.Remove(filepath.Join(item.dir, checkpoint)); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"error deleting %s/%s/%s: %s\", item.cluster, item.host, checkpoint, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor _, de1 := range entries1 {\n\t\tentries2, e := os.ReadDir(filepath.Join(checkpointsDir, de1.Name()))\n\t\tif e != nil {\n\t\t\terr = e\n\t\t\tcontinue\n\t\t}\n\n\t\tfor _, de2 := range entries2 {\n\t\t\twork <- workItem{\n\t\t\t\tdir:     filepath.Join(checkpointsDir, de1.Name(), de2.Name()),\n\t\t\t\tcluster: de1.Name(),\n\t\t\t\thost:    de2.Name(),\n\t\t\t}\n\t\t}\n\t}\n\n\tclose(work)\n\twg.Wait()\n\n\tif err != nil {\n\t\treturn int(n), err\n\t}\n\tif errs > 0 {\n\t\treturn int(n), fmt.Errorf(\"%d errors happened while deleting (%d successes)\", errs, n)\n\t}\n\treturn int(n), nil\n}\n\n// archiveCheckpoints archives checkpoint files to Parquet format.\n// Produces one Parquet file per cluster: <cleanupDir>/<cluster>/<timestamp>.parquet\n// Each host's rows are written as a separate row group to avoid accumulating\n// all data in memory at once.\nfunc archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n\tcclog.Info(\"[METRICSTORE]> start archiving checkpoints to parquet\")\n\tstartTime := time.Now()\n\n\tclusterEntries, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttotalFiles := 0\n\n\tfor _, clusterEntry := range clusterEntries {\n\t\tif !clusterEntry.IsDir() {\n\t\t\tcontinue\n\t\t}\n\n\t\tcluster := clusterEntry.Name()\n\t\thostEntries, err := os.ReadDir(filepath.Join(checkpointsDir, cluster))\n\t\tif err != nil {\n\t\t\treturn totalFiles, err\n\t\t}\n\n\t\t// Stream per-host rows to parquet writer via worker pool\n\t\ttype hostResult struct {\n\t\t\trows  []ParquetMetricRow\n\t\t\tfiles []string // checkpoint filenames to delete after successful write\n\t\t\tdir   string   // checkpoint directory for this host\n\t\t}\n\n\t\tresults := make(chan hostResult, len(hostEntries))\n\t\twork := make(chan struct {\n\t\t\tdir, host string\n\t\t}, Keys.NumWorkers)\n\n\t\tvar wg sync.WaitGroup\n\t\terrs := int32(0)\n\n\t\twg.Add(Keys.NumWorkers)\n\t\tfor w := 0; w < Keys.NumWorkers; w++ {\n\t\t\tgo func() {\n\t\t\t\tdefer wg.Done()\n\t\t\t\tfor item := range work {\n\t\t\t\t\trows, files, err := archiveCheckpointsToParquet(item.dir, cluster, item.host, from)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tif len(rows) > 0 {\n\t\t\t\t\t\tresults <- hostResult{rows: rows, files: files, dir: item.dir}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\t\t}\n\n\t\tgo func() {\n\t\t\tfor _, hostEntry := range hostEntries {\n\t\t\t\tif !hostEntry.IsDir() {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tdir := filepath.Join(checkpointsDir, cluster, hostEntry.Name())\n\t\t\t\twork <- struct {\n\t\t\t\t\tdir, host string\n\t\t\t\t}{dir: dir, host: hostEntry.Name()}\n\t\t\t}\n\t\t\tclose(work)\n\t\t\twg.Wait()\n\t\t\tclose(results)\n\t\t}()\n\n\t\t// Open streaming writer and write each host's rows as a row group\n\t\tparquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))\n\t\twriter, err := newParquetArchiveWriter(parquetFile)\n\t\tif err != nil {\n\t\t\t// Drain results channel to unblock workers\n\t\t\tfor range results {\n\t\t\t}\n\t\t\treturn totalFiles, fmt.Errorf(\"creating parquet writer for cluster %s: %w\", cluster, err)\n\t\t}\n\n\t\ttype deleteItem struct {\n\t\t\tdir   string\n\t\t\tfiles []string\n\t\t}\n\t\tvar toDelete []deleteItem\n\t\twriteErr := error(nil)\n\n\t\tfor r := range results {\n\t\t\tif writeErr == nil {\n\t\t\t\tsortParquetRows(r.rows)\n\t\t\t\tif err := writer.WriteHostRows(r.rows); err != nil {\n\t\t\t\t\twriteErr = err\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Always track files for deletion (even if write failed, we still drain)\n\t\t\ttoDelete = append(toDelete, deleteItem{dir: r.dir, files: r.files})\n\t\t}\n\n\t\tif err := writer.Close(); err != nil && writeErr == nil {\n\t\t\twriteErr = err\n\t\t}\n\n\t\tif errs > 0 {\n\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n\t\t}\n\n\t\tif writer.count == 0 {\n\t\t\t// No data written — remove empty file\n\t\t\tos.Remove(parquetFile)\n\t\t\tcontinue\n\t\t}\n\n\t\tif writeErr != nil {\n\t\t\tos.Remove(parquetFile)\n\t\t\treturn totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, writeErr)\n\t\t}\n\n\t\t// Delete archived checkpoint files\n\t\tfor _, item := range toDelete {\n\t\t\tfor _, file := range item.files {\n\t\t\t\tfilename := filepath.Join(item.dir, file)\n\t\t\t\tif err := os.Remove(filename); err != nil {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n\t\t\t\t} else {\n\t\t\t\t\ttotalFiles++\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n\t\t\twriter.count, totalFiles, cluster, parquetFile)\n\t}\n\n\tcclog.Infof(\"[METRICSTORE]> archiving checkpoints completed in %s (%d files)\", time.Since(startTime).Round(time.Millisecond), totalFiles)\n\treturn totalFiles, nil\n}\n","structuredPatch":[{"oldStart":168,"oldLines":8,"newStart":168,"newLines":9,"lines":[" "," // archiveCheckpoints archives checkpoint files to Parquet format."," // Produces one Parquet file per cluster: <cleanupDir>/<cluster>/<timestamp>.parquet","-// Each host's rows are written as a separate row group to avoid accumulating","-// all data in memory at once.","+// Workers load checkpoint files from disk and send CheckpointFile trees on a","+// back-pressured channel. The main thread streams each tree directly to Parquet","+// rows without materializing all rows in memory."," func archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {","   cclog.Info(\"[METRICSTORE]> start archiving checkpoints to parquet\")","   startTime := time.Now()"]},{"oldStart":192,"oldLines":14,"newStart":193,"newLines":16,"lines":["       return totalFiles, err","     }"," ","-    // Stream per-host rows to parquet writer via worker pool","+    // Workers load checkpoint files from disk; main thread writes to parquet.","     type hostResult struct {","-      rows  []ParquetMetricRow","-      files []string // checkpoint filenames to delete after successful write","-      dir   string   // checkpoint directory for this host","+      checkpoints []*CheckpointFile","+      hostname    string","+      files       []string // checkpoint filenames to delete after successful write","+      dir         string   // checkpoint directory for this host","     }"," ","-    results := make(chan hostResult, len(hostEntries))","+    // Small buffer provides back-pressure: at most NumWorkers+2 results in flight.","+    results := make(chan hostResult, 2)","     work := make(chan struct {","       dir, host string","     }, Keys.NumWorkers)"]},{"oldStart":212,"oldLines":14,"newStart":215,"newLines":19,"lines":["       go func() {","         defer wg.Done()","         for item := range work {","-          rows, files, err := archiveCheckpointsToParquet(item.dir, cluster, item.host, from)","+          checkpoints, files, err := loadCheckpointFiles(item.dir, from)","           if err != nil {","             cclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())","             atomic.AddInt32(&errs, 1)","             continue","           }","-          if len(rows) > 0 {","-            results <- hostResult{rows: rows, files: files, dir: item.dir}","+          if len(checkpoints) > 0 {","+            results <- hostResult{","+              checkpoints: checkpoints,","+              hostname:    item.host,","+              files:       files,","+              dir:         item.dir,","+            }","           }","         }","       }()"]},{"oldStart":240,"oldLines":7,"newStart":248,"newLines":7,"lines":["       close(results)","     }()"," ","-    // Open streaming writer and write each host's rows as a row group","+    // Open streaming writer and write each host's checkpoint files as a row group","     parquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))","     writer, err := newParquetArchiveWriter(parquetFile)","     if err != nil {"]},{"oldStart":259,"oldLines":9,"newStart":267,"newLines":13,"lines":[" ","     for r := range results {","       if writeErr == nil {","-        sortParquetRows(r.rows)","-        if err := writer.WriteHostRows(r.rows); err != nil {","-          writeErr = err","+        // Stream each checkpoint file directly to parquet rows.","+        // Each checkpoint is processed and discarded before the next.","+        for _, cf := range r.checkpoints {","+          if err := writer.WriteCheckpointFile(cf, cluster, r.hostname, \"node\", \"\"); err != nil {","+            writeErr = err","+            break","+          }","         }","       }","       // Always track files for deletion (even if write failed, we still drain)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"e4726293-85fa-4e90-94d8-63714ab09bac","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"ca36eb3e-bede-40f6-9e44-1f9cadea21ae","version":"2.1.78","gitBranch":"hotfix","slug":"transient-jingling-storm"}
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+{"parentUuid":"e3c88e37-e08c-4c2a-b33a-a52ddaff33c2","isSidechain":false,"promptId":"a0100614-6c1c-4f22-9718-4c52a4866f7f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012S9GHGA2ehGHfrDVfGaPcc","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package metricstore\n     7→\n     8→import (\n     9→\t\"encoding/json\"\n    10→\t\"os\"\n    11→\t\"path/filepath\"\n    12→\t\"testing\"\n    13→\n    14→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    15→\tpq \"github.com/parquet-go/parquet-go\"\n    16→)\n    17→\n    18→func TestParseScopeFromName(t *testing.T) {\n    19→\ttests := []struct {\n    20→\t\tname      string\n    21→\t\twantScope string\n    22→\t\twantID    string\n    23→\t}{\n    24→\t\t{\"socket0\", \"socket\", \"0\"},\n    25→\t\t{\"socket12\", \"socket\", \"12\"},\n    26→\t\t{\"core0\", \"core\", \"0\"},\n    27→\t\t{\"core127\", \"core\", \"127\"},\n    28→\t\t{\"cpu0\", \"hwthread\", \"0\"},\n    29→\t\t{\"hwthread5\", \"hwthread\", \"5\"},\n    30→\t\t{\"memoryDomain0\", \"memoryDomain\", \"0\"},\n    31→\t\t{\"accelerator0\", \"accelerator\", \"0\"},\n    32→\t\t{\"unknown\", \"unknown\", \"\"},\n    33→\t\t{\"socketX\", \"socketX\", \"\"}, // not numeric suffix\n    34→\t}\n    35→\n    36→\tfor _, tt := range tests {\n    37→\t\tt.Run(tt.name, func(t *testing.T) {\n    38→\t\t\tscope, id := parseScopeFromName(tt.name)\n    39→\t\t\tif scope != tt.wantScope || id != tt.wantID {\n    40→\t\t\t\tt.Errorf(\"parseScopeFromName(%q) = (%q, %q), want (%q, %q)\",\n    41→\t\t\t\t\ttt.name, scope, id, tt.wantScope, tt.wantID)\n    42→\t\t\t}\n    43→\t\t})\n    44→\t}\n    45→}\n    46→\n    47→func TestFlattenCheckpointFile(t *testing.T) {\n    48→\tcf := &CheckpointFile{\n    49→\t\tFrom: 1000,\n    50→\t\tTo:   1060,\n    51→\t\tMetrics: map[string]*CheckpointMetrics{\n    52→\t\t\t\"cpu_load\": {\n    53→\t\t\t\tFrequency: 60,\n    54→\t\t\t\tStart:     1000,\n    55→\t\t\t\tData:      []schema.Float{0.5, 0.7, schema.NaN},\n    56→\t\t\t},\n    57→\t\t},\n    58→\t\tChildren: map[string]*CheckpointFile{\n    59→\t\t\t\"socket0\": {\n    60→\t\t\t\tMetrics: map[string]*CheckpointMetrics{\n    61→\t\t\t\t\t\"mem_bw\": {\n    62→\t\t\t\t\t\tFrequency: 60,\n    63→\t\t\t\t\t\tStart:     1000,\n    64→\t\t\t\t\t\tData:      []schema.Float{100.0, schema.NaN, 200.0},\n    65→\t\t\t\t\t},\n    66→\t\t\t\t},\n    67→\t\t\t\tChildren: make(map[string]*CheckpointFile),\n    68→\t\t\t},\n    69→\t\t},\n    70→\t}\n    71→\n    72→\trows := flattenCheckpointFile(cf, \"fritz\", \"node001\", \"node\", \"\", nil)\n    73→\n    74→\t// cpu_load: 2 non-NaN values at node scope\n    75→\t// mem_bw: 2 non-NaN values at socket0 scope\n    76→\tif len(rows) != 4 {\n    77→\t\tt.Fatalf(\"expected 4 rows, got %d\", len(rows))\n    78→\t}\n    79→\n    80→\t// Verify a node-scope row\n    81→\tfound := false\n    82→\tfor _, r := range rows {\n    83→\t\tif r.Metric == \"cpu_load\" && r.Timestamp == 1000 {\n    84→\t\t\tfound = true\n    85→\t\t\tif r.Cluster != \"fritz\" || r.Hostname != \"node001\" || r.Scope != \"node\" || r.Value != 0.5 {\n    86→\t\t\t\tt.Errorf(\"unexpected row: %+v\", r)\n    87→\t\t\t}\n    88→\t\t}\n    89→\t}\n    90→\tif !found {\n    91→\t\tt.Error(\"expected cpu_load row at timestamp 1000\")\n    92→\t}\n    93→\n    94→\t// Verify a socket-scope row\n    95→\tfound = false\n    96→\tfor _, r := range rows {\n    97→\t\tif r.Metric == \"mem_bw\" && r.Scope == \"socket\" && r.ScopeID == \"0\" {\n    98→\t\t\tfound = true\n    99→\t\t}\n   100→\t}\n   101→\tif !found {\n   102→\t\tt.Error(\"expected mem_bw row with scope=socket, scope_id=0\")\n   103→\t}\n   104→}\n   105→\n   106→func TestParquetArchiveRoundtrip(t *testing.T) {\n   107→\ttmpDir := t.TempDir()\n   108→\n   109→\t// Create checkpoint files on disk (JSON format)\n   110→\tcpDir := filepath.Join(tmpDir, \"checkpoints\", \"testcluster\", \"node001\")\n   111→\tif err := os.MkdirAll(cpDir, 0o755); err != nil {\n   112→\t\tt.Fatal(err)\n   113→\t}\n   114→\n   115→\tcf := &CheckpointFile{\n   116→\t\tFrom: 1000,\n   117→\t\tTo:   1180,\n   118→\t\tMetrics: map[string]*CheckpointMetrics{\n   119→\t\t\t\"cpu_load\": {\n   120→\t\t\t\tFrequency: 60,\n   121→\t\t\t\tStart:     1000,\n   122→\t\t\t\tData:      []schema.Float{0.5, 0.7, 0.9},\n   123→\t\t\t},\n   124→\t\t\t\"mem_used\": {\n   125→\t\t\t\tFrequency: 60,\n   126→\t\t\t\tStart:     1000,\n   127→\t\t\t\tData:      []schema.Float{45.0, 46.0, 47.0},\n   128→\t\t\t},\n   129→\t\t},\n   130→\t\tChildren: map[string]*CheckpointFile{\n   131→\t\t\t\"socket0\": {\n   132→\t\t\t\tMetrics: map[string]*CheckpointMetrics{\n   133→\t\t\t\t\t\"mem_bw\": {\n   134→\t\t\t\t\t\tFrequency: 60,\n   135→\t\t\t\t\t\tStart:     1000,\n   136→\t\t\t\t\t\tData:      []schema.Float{100.0, 110.0, 120.0},\n   137→\t\t\t\t\t},\n   138→\t\t\t\t},\n   139→\t\t\t\tChildren: make(map[string]*CheckpointFile),\n   140→\t\t\t},\n   141→\t\t},\n   142→\t}\n   143→\n   144→\t// Write JSON checkpoint\n   145→\tcpFile := filepath.Join(cpDir, \"1000.json\")\n   146→\tdata, err := json.Marshal(cf)\n   147→\tif err != nil {\n   148→\t\tt.Fatal(err)\n   149→\t}\n   150→\tif err := os.WriteFile(cpFile, data, 0o644); err != nil {\n   151→\t\tt.Fatal(err)\n   152→\t}\n   153→\n   154→\t// Archive to Parquet\n   155→\tarchiveDir := filepath.Join(tmpDir, \"archive\")\n   156→\trows, files, err := archiveCheckpointsToParquet(cpDir, \"testcluster\", \"node001\", 2000)\n   157→\tif err != nil {\n   158→\t\tt.Fatal(err)\n   159→\t}\n   160→\tif len(files) != 1 || files[0] != \"1000.json\" {\n   161→\t\tt.Fatalf(\"expected 1 file, got %v\", files)\n   162→\t}\n   163→\n   164→\tparquetFile := filepath.Join(archiveDir, \"testcluster\", \"1000.parquet\")\n   165→\twriter, err := newParquetArchiveWriter(parquetFile)\n   166→\tif err != nil {\n   167→\t\tt.Fatal(err)\n   168→\t}\n   169→\tsortParquetRows(rows)\n   170→\tif err := writer.WriteHostRows(rows); err != nil {\n   171→\t\tt.Fatal(err)\n   172→\t}\n   173→\tif err := writer.Close(); err != nil {\n   174→\t\tt.Fatal(err)\n   175→\t}\n   176→\n   177→\t// Read back and verify\n   178→\tf, err := os.Open(parquetFile)\n   179→\tif err != nil {\n   180→\t\tt.Fatal(err)\n   181→\t}\n   182→\tdefer f.Close()\n   183→\n   184→\tstat, _ := f.Stat()\n   185→\tpf, err := pq.OpenFile(f, stat.Size())\n   186→\tif err != nil {\n   187→\t\tt.Fatal(err)\n   188→\t}\n   189→\n   190→\treader := pq.NewGenericReader[ParquetMetricRow](pf)\n   191→\treadRows := make([]ParquetMetricRow, 100)\n   192→\tn, err := reader.Read(readRows)\n   193→\tif err != nil && n == 0 {\n   194→\t\tt.Fatal(err)\n   195→\t}\n   196→\treadRows = readRows[:n]\n   197→\treader.Close()\n   198→\n   199→\t// We expect: cpu_load(3) + mem_used(3) + mem_bw(3) = 9 rows\n   200→\tif n != 9 {\n   201→\t\tt.Fatalf(\"expected 9 rows in parquet file, got %d\", n)\n   202→\t}\n   203→\n   204→\t// Verify cluster and hostname are set correctly\n   205→\tfor _, r := range readRows {\n   206→\t\tif r.Cluster != \"testcluster\" {\n   207→\t\t\tt.Errorf(\"expected cluster=testcluster, got %s\", r.Cluster)\n   208→\t\t}\n   209→\t\tif r.Hostname != \"node001\" {\n   210→\t\t\tt.Errorf(\"expected hostname=node001, got %s\", r.Hostname)\n   211→\t\t}\n   212→\t}\n   213→\n   214→\t// Verify parquet file is smaller than JSON (compression working)\n   215→\tif stat.Size() == 0 {\n   216→\t\tt.Error(\"parquet file is empty\")\n   217→\t}\n   218→\n   219→\tt.Logf(\"Parquet file size: %d bytes for %d rows\", stat.Size(), n)\n   220→}\n   221→\n   222→func TestLoadCheckpointFileFromDisk_JSON(t *testing.T) {\n   223→\ttmpDir := t.TempDir()\n   224→\n   225→\tcf := &CheckpointFile{\n   226→\t\tFrom: 1000,\n   227→\t\tTo:   1060,\n   228→\t\tMetrics: map[string]*CheckpointMetrics{\n   229→\t\t\t\"test_metric\": {\n   230→\t\t\t\tFrequency: 60,\n   231→\t\t\t\tStart:     1000,\n   232→\t\t\t\tData:      []schema.Float{1.0, 2.0, 3.0},\n   233→\t\t\t},\n   234→\t\t},\n   235→\t\tChildren: make(map[string]*CheckpointFile),\n   236→\t}\n   237→\n   238→\tfilename := filepath.Join(tmpDir, \"1000.json\")\n   239→\tdata, err := json.Marshal(cf)\n   240→\tif err != nil {\n   241→\t\tt.Fatal(err)\n   242→\t}\n   243→\tif err := os.WriteFile(filename, data, 0o644); err != nil {\n   244→\t\tt.Fatal(err)\n   245→\t}\n   246→\n   247→\tloaded, err := loadCheckpointFileFromDisk(filename)\n   248→\tif err != nil {\n   249→\t\tt.Fatal(err)\n   250→\t}\n   251→\n   252→\tif loaded.From != 1000 || loaded.To != 1060 {\n   253→\t\tt.Errorf(\"expected From=1000, To=1060, got From=%d, To=%d\", loaded.From, loaded.To)\n   254→\t}\n   255→\n   256→\tm, ok := loaded.Metrics[\"test_metric\"]\n   257→\tif !ok {\n   258→\t\tt.Fatal(\"expected test_metric in loaded checkpoint\")\n   259→\t}\n   260→\tif m.Frequency != 60 || m.Start != 1000 || len(m.Data) != 3 {\n   261→\t\tt.Errorf(\"unexpected metric data: %+v\", m)\n   262→\t}\n   263→}\n   264→"}]},"uuid":"f816ef67-ad76-47a8-9057-735652a790ea","timestamp":"2026-03-18T16:28:40.806Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/parquetArchive_test.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"encoding/json\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"testing\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\nfunc TestParseScopeFromName(t *testing.T) {\n\ttests := []struct {\n\t\tname      string\n\t\twantScope string\n\t\twantID    string\n\t}{\n\t\t{\"socket0\", \"socket\", \"0\"},\n\t\t{\"socket12\", \"socket\", \"12\"},\n\t\t{\"core0\", \"core\", \"0\"},\n\t\t{\"core127\", \"core\", \"127\"},\n\t\t{\"cpu0\", \"hwthread\", \"0\"},\n\t\t{\"hwthread5\", \"hwthread\", \"5\"},\n\t\t{\"memoryDomain0\", \"memoryDomain\", \"0\"},\n\t\t{\"accelerator0\", \"accelerator\", \"0\"},\n\t\t{\"unknown\", \"unknown\", \"\"},\n\t\t{\"socketX\", \"socketX\", \"\"}, // not numeric suffix\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(tt.name, func(t *testing.T) {\n\t\t\tscope, id := parseScopeFromName(tt.name)\n\t\t\tif scope != tt.wantScope || id != tt.wantID {\n\t\t\t\tt.Errorf(\"parseScopeFromName(%q) = (%q, %q), want (%q, %q)\",\n\t\t\t\t\ttt.name, scope, id, tt.wantScope, tt.wantID)\n\t\t\t}\n\t\t})\n\t}\n}\n\nfunc TestFlattenCheckpointFile(t *testing.T) {\n\tcf := &CheckpointFile{\n\t\tFrom: 1000,\n\t\tTo:   1060,\n\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\"cpu_load\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart:     1000,\n\t\t\t\tData:      []schema.Float{0.5, 0.7, schema.NaN},\n\t\t\t},\n\t\t},\n\t\tChildren: map[string]*CheckpointFile{\n\t\t\t\"socket0\": {\n\t\t\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\t\t\"mem_bw\": {\n\t\t\t\t\t\tFrequency: 60,\n\t\t\t\t\t\tStart:     1000,\n\t\t\t\t\t\tData:      []schema.Float{100.0, schema.NaN, 200.0},\n\t\t\t\t\t},\n\t\t\t\t},\n\t\t\t\tChildren: make(map[string]*CheckpointFile),\n\t\t\t},\n\t\t},\n\t}\n\n\trows := flattenCheckpointFile(cf, \"fritz\", \"node001\", \"node\", \"\", nil)\n\n\t// cpu_load: 2 non-NaN values at node scope\n\t// mem_bw: 2 non-NaN values at socket0 scope\n\tif len(rows) != 4 {\n\t\tt.Fatalf(\"expected 4 rows, got %d\", len(rows))\n\t}\n\n\t// Verify a node-scope row\n\tfound := false\n\tfor _, r := range rows {\n\t\tif r.Metric == \"cpu_load\" && r.Timestamp == 1000 {\n\t\t\tfound = true\n\t\t\tif r.Cluster != \"fritz\" || r.Hostname != \"node001\" || r.Scope != \"node\" || r.Value != 0.5 {\n\t\t\t\tt.Errorf(\"unexpected row: %+v\", r)\n\t\t\t}\n\t\t}\n\t}\n\tif !found {\n\t\tt.Error(\"expected cpu_load row at timestamp 1000\")\n\t}\n\n\t// Verify a socket-scope row\n\tfound = false\n\tfor _, r := range rows {\n\t\tif r.Metric == \"mem_bw\" && r.Scope == \"socket\" && r.ScopeID == \"0\" {\n\t\t\tfound = true\n\t\t}\n\t}\n\tif !found {\n\t\tt.Error(\"expected mem_bw row with scope=socket, scope_id=0\")\n\t}\n}\n\nfunc TestParquetArchiveRoundtrip(t *testing.T) {\n\ttmpDir := t.TempDir()\n\n\t// Create checkpoint files on disk (JSON format)\n\tcpDir := filepath.Join(tmpDir, \"checkpoints\", \"testcluster\", \"node001\")\n\tif err := os.MkdirAll(cpDir, 0o755); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tcf := &CheckpointFile{\n\t\tFrom: 1000,\n\t\tTo:   1180,\n\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\"cpu_load\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart:     1000,\n\t\t\t\tData:      []schema.Float{0.5, 0.7, 0.9},\n\t\t\t},\n\t\t\t\"mem_used\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart:     1000,\n\t\t\t\tData:      []schema.Float{45.0, 46.0, 47.0},\n\t\t\t},\n\t\t},\n\t\tChildren: map[string]*CheckpointFile{\n\t\t\t\"socket0\": {\n\t\t\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\t\t\"mem_bw\": {\n\t\t\t\t\t\tFrequency: 60,\n\t\t\t\t\t\tStart:     1000,\n\t\t\t\t\t\tData:      []schema.Float{100.0, 110.0, 120.0},\n\t\t\t\t\t},\n\t\t\t\t},\n\t\t\t\tChildren: make(map[string]*CheckpointFile),\n\t\t\t},\n\t\t},\n\t}\n\n\t// Write JSON checkpoint\n\tcpFile := filepath.Join(cpDir, \"1000.json\")\n\tdata, err := json.Marshal(cf)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif err := os.WriteFile(cpFile, data, 0o644); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\t// Archive to Parquet\n\tarchiveDir := filepath.Join(tmpDir, \"archive\")\n\trows, files, err := archiveCheckpointsToParquet(cpDir, \"testcluster\", \"node001\", 2000)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif len(files) != 1 || files[0] != \"1000.json\" {\n\t\tt.Fatalf(\"expected 1 file, got %v\", files)\n\t}\n\n\tparquetFile := filepath.Join(archiveDir, \"testcluster\", \"1000.parquet\")\n\twriter, err := newParquetArchiveWriter(parquetFile)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tsortParquetRows(rows)\n\tif err := writer.WriteHostRows(rows); err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif err := writer.Close(); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\t// Read back and verify\n\tf, err := os.Open(parquetFile)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tdefer f.Close()\n\n\tstat, _ := f.Stat()\n\tpf, err := pq.OpenFile(f, stat.Size())\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\treader := pq.NewGenericReader[ParquetMetricRow](pf)\n\treadRows := make([]ParquetMetricRow, 100)\n\tn, err := reader.Read(readRows)\n\tif err != nil && n == 0 {\n\t\tt.Fatal(err)\n\t}\n\treadRows = readRows[:n]\n\treader.Close()\n\n\t// We expect: cpu_load(3) + mem_used(3) + mem_bw(3) = 9 rows\n\tif n != 9 {\n\t\tt.Fatalf(\"expected 9 rows in parquet file, got %d\", n)\n\t}\n\n\t// Verify cluster and hostname are set correctly\n\tfor _, r := range readRows {\n\t\tif r.Cluster != \"testcluster\" {\n\t\t\tt.Errorf(\"expected cluster=testcluster, got %s\", r.Cluster)\n\t\t}\n\t\tif r.Hostname != \"node001\" {\n\t\t\tt.Errorf(\"expected hostname=node001, got %s\", r.Hostname)\n\t\t}\n\t}\n\n\t// Verify parquet file is smaller than JSON (compression working)\n\tif stat.Size() == 0 {\n\t\tt.Error(\"parquet file is empty\")\n\t}\n\n\tt.Logf(\"Parquet file size: %d bytes for %d rows\", stat.Size(), n)\n}\n\nfunc TestLoadCheckpointFileFromDisk_JSON(t *testing.T) {\n\ttmpDir := t.TempDir()\n\n\tcf := &CheckpointFile{\n\t\tFrom: 1000,\n\t\tTo:   1060,\n\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\"test_metric\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart:     1000,\n\t\t\t\tData:      []schema.Float{1.0, 2.0, 3.0},\n\t\t\t},\n\t\t},\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tfilename := filepath.Join(tmpDir, \"1000.json\")\n\tdata, err := json.Marshal(cf)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif err := os.WriteFile(filename, data, 0o644); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tloaded, err := loadCheckpointFileFromDisk(filename)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tif loaded.From != 1000 || loaded.To != 1060 {\n\t\tt.Errorf(\"expected From=1000, To=1060, got From=%d, To=%d\", loaded.From, loaded.To)\n\t}\n\n\tm, ok := loaded.Metrics[\"test_metric\"]\n\tif !ok {\n\t\tt.Fatal(\"expected test_metric in loaded checkpoint\")\n\t}\n\tif m.Frequency != 60 || m.Start != 1000 || len(m.Data) != 3 {\n\t\tt.Errorf(\"unexpected metric data: %+v\", m)\n\t}\n}\n","numLines":264,"startLine":1,"totalLines":264}},"sourceToolAssistantUUID":"e3c88e37-e08c-4c2a-b33a-a52ddaff33c2","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"ca36eb3e-bede-40f6-9e44-1f9cadea21ae","version":"2.1.78","gitBranch":"hotfix","slug":"transient-jingling-storm"}
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+{"parentUuid":"b51a96b5-20a7-4cc2-88aa-a9d2a6226144","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0156o5TLEuidACpYnyTq65cn","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GrtafEmcPQtngM5cKRrvDT","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/parquetArchive_test.go","old_string":"func TestFlattenCheckpointFile(t *testing.T) {\n\tcf := &CheckpointFile{\n\t\tFrom: 1000,\n\t\tTo:   1060,\n\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\"cpu_load\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart:     1000,\n\t\t\t\tData:      []schema.Float{0.5, 0.7, schema.NaN},\n\t\t\t},\n\t\t},\n\t\tChildren: map[string]*CheckpointFile{\n\t\t\t\"socket0\": {\n\t\t\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\t\t\"mem_bw\": {\n\t\t\t\t\t\tFrequency: 60,\n\t\t\t\t\t\tStart:     1000,\n\t\t\t\t\t\tData:      []schema.Float{100.0, schema.NaN, 200.0},\n\t\t\t\t\t},\n\t\t\t\t},\n\t\t\t\tChildren: make(map[string]*CheckpointFile),\n\t\t\t},\n\t\t},\n\t}\n\n\trows := flattenCheckpointFile(cf, \"fritz\", \"node001\", \"node\", \"\", nil)\n\n\t// cpu_load: 2 non-NaN values at node scope\n\t// mem_bw: 2 non-NaN values at socket0 scope\n\tif len(rows) != 4 {\n\t\tt.Fatalf(\"expected 4 rows, got %d\", len(rows))\n\t}\n\n\t// Verify a node-scope row\n\tfound := false\n\tfor _, r := range rows {\n\t\tif r.Metric == \"cpu_load\" && r.Timestamp == 1000 {\n\t\t\tfound = true\n\t\t\tif r.Cluster != \"fritz\" || r.Hostname != \"node001\" || r.Scope != \"node\" || r.Value != 0.5 {\n\t\t\t\tt.Errorf(\"unexpected row: %+v\", r)\n\t\t\t}\n\t\t}\n\t}\n\tif !found {\n\t\tt.Error(\"expected cpu_load row at timestamp 1000\")\n\t}\n\n\t// Verify a socket-scope row\n\tfound = false\n\tfor _, r := range rows {\n\t\tif r.Metric == \"mem_bw\" && r.Scope == \"socket\" && r.ScopeID == \"0\" {\n\t\t\tfound = true\n\t\t}\n\t}\n\tif !found {\n\t\tt.Error(\"expected mem_bw row with scope=socket, scope_id=0\")\n\t}\n}","new_string":"func TestWriteCheckpointFile(t *testing.T) {\n\tcf := &CheckpointFile{\n\t\tFrom: 1000,\n\t\tTo:   1060,\n\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\"cpu_load\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart:     1000,\n\t\t\t\tData:      []schema.Float{0.5, 0.7, schema.NaN},\n\t\t\t},\n\t\t},\n\t\tChildren: map[string]*CheckpointFile{\n\t\t\t\"socket0\": {\n\t\t\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\t\t\"mem_bw\": {\n\t\t\t\t\t\tFrequency: 60,\n\t\t\t\t\t\tStart:     1000,\n\t\t\t\t\t\tData:      []schema.Float{100.0, schema.NaN, 200.0},\n\t\t\t\t\t},\n\t\t\t\t},\n\t\t\t\tChildren: make(map[string]*CheckpointFile),\n\t\t\t},\n\t\t},\n\t}\n\n\ttmpDir := t.TempDir()\n\tparquetFile := filepath.Join(tmpDir, \"test.parquet\")\n\twriter, err := newParquetArchiveWriter(parquetFile)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tif err := writer.WriteCheckpointFile(cf, \"fritz\", \"node001\", \"node\", \"\"); err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif err := writer.Close(); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\t// cpu_load: 2 non-NaN values at node scope\n\t// mem_bw: 2 non-NaN values at socket0 scope\n\tif writer.count != 4 {\n\t\tt.Fatalf(\"expected 4 rows written, got %d\", writer.count)\n\t}\n\n\t// Read back and verify\n\tf, err := os.Open(parquetFile)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tdefer f.Close()\n\n\tstat, _ := f.Stat()\n\tpf, err := pq.OpenFile(f, stat.Size())\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\treader := pq.NewGenericReader[ParquetMetricRow](pf)\n\treadRows := make([]ParquetMetricRow, 100)\n\tn, err := reader.Read(readRows)\n\tif err != nil && n == 0 {\n\t\tt.Fatal(err)\n\t}\n\treadRows = readRows[:n]\n\treader.Close()\n\n\tif n != 4 {\n\t\tt.Fatalf(\"expected 4 rows, got %d\", n)\n\t}\n\n\t// Verify a node-scope row\n\tfound := false\n\tfor _, r := range readRows {\n\t\tif r.Metric == \"cpu_load\" && r.Timestamp == 1000 {\n\t\t\tfound = true\n\t\t\tif r.Cluster != \"fritz\" || r.Hostname != \"node001\" || r.Scope != \"node\" || r.Value != 0.5 {\n\t\t\t\tt.Errorf(\"unexpected row: %+v\", r)\n\t\t\t}\n\t\t}\n\t}\n\tif !found {\n\t\tt.Error(\"expected cpu_load row at timestamp 1000\")\n\t}\n\n\t// Verify a socket-scope row\n\tfound = false\n\tfor _, r := range readRows {\n\t\tif r.Metric == \"mem_bw\" && r.Scope == \"socket\" && r.ScopeID == \"0\" {\n\t\t\tfound = true\n\t\t}\n\t}\n\tif !found {\n\t\tt.Error(\"expected mem_bw row with scope=socket, scope_id=0\")\n\t}\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3496,"cache_read_input_tokens":47791,"output_tokens":1616,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":3496,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZArvY2pHC1uKPJjQMyC4","type":"assistant","uuid":"97dda43c-4bc3-47b6-ace8-480f2f789b81","timestamp":"2026-03-18T16:28:55.329Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"ca36eb3e-bede-40f6-9e44-1f9cadea21ae","version":"2.1.78","gitBranch":"hotfix","slug":"transient-jingling-storm"}
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+{"parentUuid":"97dda43c-4bc3-47b6-ace8-480f2f789b81","isSidechain":false,"promptId":"a0100614-6c1c-4f22-9718-4c52a4866f7f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GrtafEmcPQtngM5cKRrvDT","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/parquetArchive_test.go has been updated successfully."}]},"uuid":"7a067203-2f27-4819-b719-582c4a03f7be","timestamp":"2026-03-18T16:28:55.347Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/parquetArchive_test.go","oldString":"func TestFlattenCheckpointFile(t *testing.T) {\n\tcf := &CheckpointFile{\n\t\tFrom: 1000,\n\t\tTo:   1060,\n\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\"cpu_load\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart:     1000,\n\t\t\t\tData:      []schema.Float{0.5, 0.7, schema.NaN},\n\t\t\t},\n\t\t},\n\t\tChildren: map[string]*CheckpointFile{\n\t\t\t\"socket0\": {\n\t\t\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\t\t\"mem_bw\": {\n\t\t\t\t\t\tFrequency: 60,\n\t\t\t\t\t\tStart:     1000,\n\t\t\t\t\t\tData:      []schema.Float{100.0, schema.NaN, 200.0},\n\t\t\t\t\t},\n\t\t\t\t},\n\t\t\t\tChildren: make(map[string]*CheckpointFile),\n\t\t\t},\n\t\t},\n\t}\n\n\trows := flattenCheckpointFile(cf, \"fritz\", \"node001\", \"node\", \"\", nil)\n\n\t// cpu_load: 2 non-NaN values at node scope\n\t// mem_bw: 2 non-NaN values at socket0 scope\n\tif len(rows) != 4 {\n\t\tt.Fatalf(\"expected 4 rows, got %d\", len(rows))\n\t}\n\n\t// Verify a node-scope row\n\tfound := false\n\tfor _, r := range rows {\n\t\tif r.Metric == \"cpu_load\" && r.Timestamp == 1000 {\n\t\t\tfound = true\n\t\t\tif r.Cluster != \"fritz\" || r.Hostname != \"node001\" || r.Scope != \"node\" || r.Value != 0.5 {\n\t\t\t\tt.Errorf(\"unexpected row: %+v\", r)\n\t\t\t}\n\t\t}\n\t}\n\tif !found {\n\t\tt.Error(\"expected cpu_load row at timestamp 1000\")\n\t}\n\n\t// Verify a socket-scope row\n\tfound = false\n\tfor _, r := range rows {\n\t\tif r.Metric == \"mem_bw\" && r.Scope == \"socket\" && r.ScopeID == \"0\" {\n\t\t\tfound = true\n\t\t}\n\t}\n\tif !found {\n\t\tt.Error(\"expected mem_bw row with scope=socket, scope_id=0\")\n\t}\n}","newString":"func TestWriteCheckpointFile(t *testing.T) {\n\tcf := &CheckpointFile{\n\t\tFrom: 1000,\n\t\tTo:   1060,\n\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\"cpu_load\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart:     1000,\n\t\t\t\tData:      []schema.Float{0.5, 0.7, schema.NaN},\n\t\t\t},\n\t\t},\n\t\tChildren: map[string]*CheckpointFile{\n\t\t\t\"socket0\": {\n\t\t\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\t\t\"mem_bw\": {\n\t\t\t\t\t\tFrequency: 60,\n\t\t\t\t\t\tStart:     1000,\n\t\t\t\t\t\tData:      []schema.Float{100.0, schema.NaN, 200.0},\n\t\t\t\t\t},\n\t\t\t\t},\n\t\t\t\tChildren: make(map[string]*CheckpointFile),\n\t\t\t},\n\t\t},\n\t}\n\n\ttmpDir := t.TempDir()\n\tparquetFile := filepath.Join(tmpDir, \"test.parquet\")\n\twriter, err := newParquetArchiveWriter(parquetFile)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tif err := writer.WriteCheckpointFile(cf, \"fritz\", \"node001\", \"node\", \"\"); err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif err := writer.Close(); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\t// cpu_load: 2 non-NaN values at node scope\n\t// mem_bw: 2 non-NaN values at socket0 scope\n\tif writer.count != 4 {\n\t\tt.Fatalf(\"expected 4 rows written, got %d\", writer.count)\n\t}\n\n\t// Read back and verify\n\tf, err := os.Open(parquetFile)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tdefer f.Close()\n\n\tstat, _ := f.Stat()\n\tpf, err := pq.OpenFile(f, stat.Size())\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\treader := pq.NewGenericReader[ParquetMetricRow](pf)\n\treadRows := make([]ParquetMetricRow, 100)\n\tn, err := reader.Read(readRows)\n\tif err != nil && n == 0 {\n\t\tt.Fatal(err)\n\t}\n\treadRows = readRows[:n]\n\treader.Close()\n\n\tif n != 4 {\n\t\tt.Fatalf(\"expected 4 rows, got %d\", n)\n\t}\n\n\t// Verify a node-scope row\n\tfound := false\n\tfor _, r := range readRows {\n\t\tif r.Metric == \"cpu_load\" && r.Timestamp == 1000 {\n\t\t\tfound = true\n\t\t\tif r.Cluster != \"fritz\" || r.Hostname != \"node001\" || r.Scope != \"node\" || r.Value != 0.5 {\n\t\t\t\tt.Errorf(\"unexpected row: %+v\", r)\n\t\t\t}\n\t\t}\n\t}\n\tif !found {\n\t\tt.Error(\"expected cpu_load row at timestamp 1000\")\n\t}\n\n\t// Verify a socket-scope row\n\tfound = false\n\tfor _, r := range readRows {\n\t\tif r.Metric == \"mem_bw\" && r.Scope == \"socket\" && r.ScopeID == \"0\" {\n\t\t\tfound = true\n\t\t}\n\t}\n\tif !found {\n\t\tt.Error(\"expected mem_bw row with scope=socket, scope_id=0\")\n\t}\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"encoding/json\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"testing\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\nfunc TestParseScopeFromName(t *testing.T) {\n\ttests := []struct {\n\t\tname      string\n\t\twantScope string\n\t\twantID    string\n\t}{\n\t\t{\"socket0\", \"socket\", \"0\"},\n\t\t{\"socket12\", \"socket\", \"12\"},\n\t\t{\"core0\", \"core\", \"0\"},\n\t\t{\"core127\", \"core\", \"127\"},\n\t\t{\"cpu0\", \"hwthread\", \"0\"},\n\t\t{\"hwthread5\", \"hwthread\", \"5\"},\n\t\t{\"memoryDomain0\", \"memoryDomain\", \"0\"},\n\t\t{\"accelerator0\", \"accelerator\", \"0\"},\n\t\t{\"unknown\", \"unknown\", \"\"},\n\t\t{\"socketX\", \"socketX\", \"\"}, // not numeric suffix\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(tt.name, func(t *testing.T) {\n\t\t\tscope, id := parseScopeFromName(tt.name)\n\t\t\tif scope != tt.wantScope || id != tt.wantID {\n\t\t\t\tt.Errorf(\"parseScopeFromName(%q) = (%q, %q), want (%q, %q)\",\n\t\t\t\t\ttt.name, scope, id, tt.wantScope, tt.wantID)\n\t\t\t}\n\t\t})\n\t}\n}\n\nfunc TestFlattenCheckpointFile(t *testing.T) {\n\tcf := &CheckpointFile{\n\t\tFrom: 1000,\n\t\tTo:   1060,\n\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\"cpu_load\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart:     1000,\n\t\t\t\tData:      []schema.Float{0.5, 0.7, schema.NaN},\n\t\t\t},\n\t\t},\n\t\tChildren: map[string]*CheckpointFile{\n\t\t\t\"socket0\": {\n\t\t\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\t\t\"mem_bw\": {\n\t\t\t\t\t\tFrequency: 60,\n\t\t\t\t\t\tStart:     1000,\n\t\t\t\t\t\tData:      []schema.Float{100.0, schema.NaN, 200.0},\n\t\t\t\t\t},\n\t\t\t\t},\n\t\t\t\tChildren: make(map[string]*CheckpointFile),\n\t\t\t},\n\t\t},\n\t}\n\n\trows := flattenCheckpointFile(cf, \"fritz\", \"node001\", \"node\", \"\", nil)\n\n\t// cpu_load: 2 non-NaN values at node scope\n\t// mem_bw: 2 non-NaN values at socket0 scope\n\tif len(rows) != 4 {\n\t\tt.Fatalf(\"expected 4 rows, got %d\", len(rows))\n\t}\n\n\t// Verify a node-scope row\n\tfound := false\n\tfor _, r := range rows {\n\t\tif r.Metric == \"cpu_load\" && r.Timestamp == 1000 {\n\t\t\tfound = true\n\t\t\tif r.Cluster != \"fritz\" || r.Hostname != \"node001\" || r.Scope != \"node\" || r.Value != 0.5 {\n\t\t\t\tt.Errorf(\"unexpected row: %+v\", r)\n\t\t\t}\n\t\t}\n\t}\n\tif !found {\n\t\tt.Error(\"expected cpu_load row at timestamp 1000\")\n\t}\n\n\t// Verify a socket-scope row\n\tfound = false\n\tfor _, r := range rows {\n\t\tif r.Metric == \"mem_bw\" && r.Scope == \"socket\" && r.ScopeID == \"0\" {\n\t\t\tfound = true\n\t\t}\n\t}\n\tif !found {\n\t\tt.Error(\"expected mem_bw row with scope=socket, scope_id=0\")\n\t}\n}\n\nfunc TestParquetArchiveRoundtrip(t *testing.T) {\n\ttmpDir := t.TempDir()\n\n\t// Create checkpoint files on disk (JSON format)\n\tcpDir := filepath.Join(tmpDir, \"checkpoints\", \"testcluster\", \"node001\")\n\tif err := os.MkdirAll(cpDir, 0o755); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tcf := &CheckpointFile{\n\t\tFrom: 1000,\n\t\tTo:   1180,\n\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\"cpu_load\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart:     1000,\n\t\t\t\tData:      []schema.Float{0.5, 0.7, 0.9},\n\t\t\t},\n\t\t\t\"mem_used\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart:     1000,\n\t\t\t\tData:      []schema.Float{45.0, 46.0, 47.0},\n\t\t\t},\n\t\t},\n\t\tChildren: map[string]*CheckpointFile{\n\t\t\t\"socket0\": {\n\t\t\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\t\t\"mem_bw\": {\n\t\t\t\t\t\tFrequency: 60,\n\t\t\t\t\t\tStart:     1000,\n\t\t\t\t\t\tData:      []schema.Float{100.0, 110.0, 120.0},\n\t\t\t\t\t},\n\t\t\t\t},\n\t\t\t\tChildren: make(map[string]*CheckpointFile),\n\t\t\t},\n\t\t},\n\t}\n\n\t// Write JSON checkpoint\n\tcpFile := filepath.Join(cpDir, \"1000.json\")\n\tdata, err := json.Marshal(cf)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif err := os.WriteFile(cpFile, data, 0o644); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\t// Archive to Parquet\n\tarchiveDir := filepath.Join(tmpDir, \"archive\")\n\trows, files, err := archiveCheckpointsToParquet(cpDir, \"testcluster\", \"node001\", 2000)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif len(files) != 1 || files[0] != \"1000.json\" {\n\t\tt.Fatalf(\"expected 1 file, got %v\", files)\n\t}\n\n\tparquetFile := filepath.Join(archiveDir, \"testcluster\", \"1000.parquet\")\n\twriter, err := newParquetArchiveWriter(parquetFile)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tsortParquetRows(rows)\n\tif err := writer.WriteHostRows(rows); err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif err := writer.Close(); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\t// Read back and verify\n\tf, err := os.Open(parquetFile)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tdefer f.Close()\n\n\tstat, _ := f.Stat()\n\tpf, err := pq.OpenFile(f, stat.Size())\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\treader := pq.NewGenericReader[ParquetMetricRow](pf)\n\treadRows := make([]ParquetMetricRow, 100)\n\tn, err := reader.Read(readRows)\n\tif err != nil && n == 0 {\n\t\tt.Fatal(err)\n\t}\n\treadRows = readRows[:n]\n\treader.Close()\n\n\t// We expect: cpu_load(3) + mem_used(3) + mem_bw(3) = 9 rows\n\tif n != 9 {\n\t\tt.Fatalf(\"expected 9 rows in parquet file, got %d\", n)\n\t}\n\n\t// Verify cluster and hostname are set correctly\n\tfor _, r := range readRows {\n\t\tif r.Cluster != \"testcluster\" {\n\t\t\tt.Errorf(\"expected cluster=testcluster, got %s\", r.Cluster)\n\t\t}\n\t\tif r.Hostname != \"node001\" {\n\t\t\tt.Errorf(\"expected hostname=node001, got %s\", r.Hostname)\n\t\t}\n\t}\n\n\t// Verify parquet file is smaller than JSON (compression working)\n\tif stat.Size() == 0 {\n\t\tt.Error(\"parquet file is empty\")\n\t}\n\n\tt.Logf(\"Parquet file size: %d bytes for %d rows\", stat.Size(), n)\n}\n\nfunc TestLoadCheckpointFileFromDisk_JSON(t *testing.T) {\n\ttmpDir := t.TempDir()\n\n\tcf := &CheckpointFile{\n\t\tFrom: 1000,\n\t\tTo:   1060,\n\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\"test_metric\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart:     1000,\n\t\t\t\tData:      []schema.Float{1.0, 2.0, 3.0},\n\t\t\t},\n\t\t},\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tfilename := filepath.Join(tmpDir, \"1000.json\")\n\tdata, err := json.Marshal(cf)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif err := os.WriteFile(filename, data, 0o644); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tloaded, err := loadCheckpointFileFromDisk(filename)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tif loaded.From != 1000 || loaded.To != 1060 {\n\t\tt.Errorf(\"expected From=1000, To=1060, got From=%d, To=%d\", loaded.From, loaded.To)\n\t}\n\n\tm, ok := loaded.Metrics[\"test_metric\"]\n\tif !ok {\n\t\tt.Fatal(\"expected test_metric in loaded checkpoint\")\n\t}\n\tif m.Frequency != 60 || m.Start != 1000 || len(m.Data) != 3 {\n\t\tt.Errorf(\"unexpected metric data: %+v\", m)\n\t}\n}\n","structuredPatch":[{"oldStart":44,"oldLines":7,"newStart":44,"newLines":7,"lines":["   }"," }"," ","-func TestFlattenCheckpointFile(t *testing.T) {","+func TestWriteCheckpointFile(t *testing.T) {","   cf := &CheckpointFile{","     From: 1000,","     To:   1060,"]},{"oldStart":69,"oldLines":17,"newStart":69,"newLines":55,"lines":["     },","   }"," ","-  rows := flattenCheckpointFile(cf, \"fritz\", \"node001\", \"node\", \"\", nil)","+  tmpDir := t.TempDir()","+  parquetFile := filepath.Join(tmpDir, \"test.parquet\")","+  writer, err := newParquetArchiveWriter(parquetFile)","+  if err != nil {","+    t.Fatal(err)","+  }"," ","+  if err := writer.WriteCheckpointFile(cf, \"fritz\", \"node001\", \"node\", \"\"); err != nil {","+    t.Fatal(err)","+  }","+  if err := writer.Close(); err != nil {","+    t.Fatal(err)","+  }","+","   // cpu_load: 2 non-NaN values at node scope","   // mem_bw: 2 non-NaN values at socket0 scope","-  if len(rows) != 4 {","-    t.Fatalf(\"expected 4 rows, got %d\", len(rows))","+  if writer.count != 4 {","+    t.Fatalf(\"expected 4 rows written, got %d\", writer.count)","   }"," ","+  // Read back and verify","+  f, err := os.Open(parquetFile)","+  if err != nil {","+    t.Fatal(err)","+  }","+  defer f.Close()","+","+  stat, _ := f.Stat()","+  pf, err := pq.OpenFile(f, stat.Size())","+  if err != nil {","+    t.Fatal(err)","+  }","+","+  reader := pq.NewGenericReader[ParquetMetricRow](pf)","+  readRows := make([]ParquetMetricRow, 100)","+  n, err := reader.Read(readRows)","+  if err != nil && n == 0 {","+    t.Fatal(err)","+  }","+  readRows = readRows[:n]","+  reader.Close()","+","+  if n != 4 {","+    t.Fatalf(\"expected 4 rows, got %d\", n)","+  }","+","   // Verify a node-scope row","   found := false","-  for _, r := range rows {","+  for _, r := range readRows {","     if r.Metric == \"cpu_load\" && r.Timestamp == 1000 {","       found = true","       if r.Cluster != \"fritz\" || r.Hostname != \"node001\" || r.Scope != \"node\" || r.Value != 0.5 {"]},{"oldStart":93,"oldLines":7,"newStart":131,"newLines":7,"lines":[" ","   // Verify a socket-scope row","   found = false","-  for _, r := range rows {","+  for _, r := range readRows {","     if r.Metric == \"mem_bw\" && r.Scope == \"socket\" && r.ScopeID == \"0\" {","       found = true","     }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"97dda43c-4bc3-47b6-ace8-480f2f789b81","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"ca36eb3e-bede-40f6-9e44-1f9cadea21ae","version":"2.1.78","gitBranch":"hotfix","slug":"transient-jingling-storm"}
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+{"parentUuid":"ab81e0f4-9408-4f9b-bbeb-01bbc3be7f1b","isSidechain":false,"promptId":"a0100614-6c1c-4f22-9718-4c52a4866f7f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CghFcTUqSru1vbVHy1s6Up","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/parquetArchive_test.go has been updated successfully."}]},"uuid":"86f719b5-167e-4924-8a7d-73c5978ac6a1","timestamp":"2026-03-18T16:29:03.284Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/parquetArchive_test.go","oldString":"\t// Archive to Parquet\n\tarchiveDir := filepath.Join(tmpDir, \"archive\")\n\trows, files, err := archiveCheckpointsToParquet(cpDir, \"testcluster\", \"node001\", 2000)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif len(files) != 1 || files[0] != \"1000.json\" {\n\t\tt.Fatalf(\"expected 1 file, got %v\", files)\n\t}\n\n\tparquetFile := filepath.Join(archiveDir, \"testcluster\", \"1000.parquet\")\n\twriter, err := newParquetArchiveWriter(parquetFile)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tsortParquetRows(rows)\n\tif err := writer.WriteHostRows(rows); err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif err := writer.Close(); err != nil {\n\t\tt.Fatal(err)\n\t}","newString":"\t// Archive to Parquet\n\tarchiveDir := filepath.Join(tmpDir, \"archive\")\n\tcheckpoints, files, err := loadCheckpointFiles(cpDir, 2000)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif len(files) != 1 || files[0] != \"1000.json\" {\n\t\tt.Fatalf(\"expected 1 file, got %v\", files)\n\t}\n\n\tparquetFile := filepath.Join(archiveDir, \"testcluster\", \"1000.parquet\")\n\twriter, err := newParquetArchiveWriter(parquetFile)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tfor _, cp := range checkpoints {\n\t\tif err := writer.WriteCheckpointFile(cp, \"testcluster\", \"node001\", \"node\", \"\"); err != nil {\n\t\t\tt.Fatal(err)\n\t\t}\n\t}\n\tif err := writer.Close(); err != nil {\n\t\tt.Fatal(err)\n\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"encoding/json\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"testing\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\nfunc TestParseScopeFromName(t *testing.T) {\n\ttests := []struct {\n\t\tname      string\n\t\twantScope string\n\t\twantID    string\n\t}{\n\t\t{\"socket0\", \"socket\", \"0\"},\n\t\t{\"socket12\", \"socket\", \"12\"},\n\t\t{\"core0\", \"core\", \"0\"},\n\t\t{\"core127\", \"core\", \"127\"},\n\t\t{\"cpu0\", \"hwthread\", \"0\"},\n\t\t{\"hwthread5\", \"hwthread\", \"5\"},\n\t\t{\"memoryDomain0\", \"memoryDomain\", \"0\"},\n\t\t{\"accelerator0\", \"accelerator\", \"0\"},\n\t\t{\"unknown\", \"unknown\", \"\"},\n\t\t{\"socketX\", \"socketX\", \"\"}, // not numeric suffix\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(tt.name, func(t *testing.T) {\n\t\t\tscope, id := parseScopeFromName(tt.name)\n\t\t\tif scope != tt.wantScope || id != tt.wantID {\n\t\t\t\tt.Errorf(\"parseScopeFromName(%q) = (%q, %q), want (%q, %q)\",\n\t\t\t\t\ttt.name, scope, id, tt.wantScope, tt.wantID)\n\t\t\t}\n\t\t})\n\t}\n}\n\nfunc TestWriteCheckpointFile(t *testing.T) {\n\tcf := &CheckpointFile{\n\t\tFrom: 1000,\n\t\tTo:   1060,\n\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\"cpu_load\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart:     1000,\n\t\t\t\tData:      []schema.Float{0.5, 0.7, schema.NaN},\n\t\t\t},\n\t\t},\n\t\tChildren: map[string]*CheckpointFile{\n\t\t\t\"socket0\": {\n\t\t\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\t\t\"mem_bw\": {\n\t\t\t\t\t\tFrequency: 60,\n\t\t\t\t\t\tStart:     1000,\n\t\t\t\t\t\tData:      []schema.Float{100.0, schema.NaN, 200.0},\n\t\t\t\t\t},\n\t\t\t\t},\n\t\t\t\tChildren: make(map[string]*CheckpointFile),\n\t\t\t},\n\t\t},\n\t}\n\n\ttmpDir := t.TempDir()\n\tparquetFile := filepath.Join(tmpDir, \"test.parquet\")\n\twriter, err := newParquetArchiveWriter(parquetFile)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tif err := writer.WriteCheckpointFile(cf, \"fritz\", \"node001\", \"node\", \"\"); err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif err := writer.Close(); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\t// cpu_load: 2 non-NaN values at node scope\n\t// mem_bw: 2 non-NaN values at socket0 scope\n\tif writer.count != 4 {\n\t\tt.Fatalf(\"expected 4 rows written, got %d\", writer.count)\n\t}\n\n\t// Read back and verify\n\tf, err := os.Open(parquetFile)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tdefer f.Close()\n\n\tstat, _ := f.Stat()\n\tpf, err := pq.OpenFile(f, stat.Size())\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\treader := pq.NewGenericReader[ParquetMetricRow](pf)\n\treadRows := make([]ParquetMetricRow, 100)\n\tn, err := reader.Read(readRows)\n\tif err != nil && n == 0 {\n\t\tt.Fatal(err)\n\t}\n\treadRows = readRows[:n]\n\treader.Close()\n\n\tif n != 4 {\n\t\tt.Fatalf(\"expected 4 rows, got %d\", n)\n\t}\n\n\t// Verify a node-scope row\n\tfound := false\n\tfor _, r := range readRows {\n\t\tif r.Metric == \"cpu_load\" && r.Timestamp == 1000 {\n\t\t\tfound = true\n\t\t\tif r.Cluster != \"fritz\" || r.Hostname != \"node001\" || r.Scope != \"node\" || r.Value != 0.5 {\n\t\t\t\tt.Errorf(\"unexpected row: %+v\", r)\n\t\t\t}\n\t\t}\n\t}\n\tif !found {\n\t\tt.Error(\"expected cpu_load row at timestamp 1000\")\n\t}\n\n\t// Verify a socket-scope row\n\tfound = false\n\tfor _, r := range readRows {\n\t\tif r.Metric == \"mem_bw\" && r.Scope == \"socket\" && r.ScopeID == \"0\" {\n\t\t\tfound = true\n\t\t}\n\t}\n\tif !found {\n\t\tt.Error(\"expected mem_bw row with scope=socket, scope_id=0\")\n\t}\n}\n\nfunc TestParquetArchiveRoundtrip(t *testing.T) {\n\ttmpDir := t.TempDir()\n\n\t// Create checkpoint files on disk (JSON format)\n\tcpDir := filepath.Join(tmpDir, \"checkpoints\", \"testcluster\", \"node001\")\n\tif err := os.MkdirAll(cpDir, 0o755); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tcf := &CheckpointFile{\n\t\tFrom: 1000,\n\t\tTo:   1180,\n\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\"cpu_load\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart:     1000,\n\t\t\t\tData:      []schema.Float{0.5, 0.7, 0.9},\n\t\t\t},\n\t\t\t\"mem_used\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart:     1000,\n\t\t\t\tData:      []schema.Float{45.0, 46.0, 47.0},\n\t\t\t},\n\t\t},\n\t\tChildren: map[string]*CheckpointFile{\n\t\t\t\"socket0\": {\n\t\t\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\t\t\"mem_bw\": {\n\t\t\t\t\t\tFrequency: 60,\n\t\t\t\t\t\tStart:     1000,\n\t\t\t\t\t\tData:      []schema.Float{100.0, 110.0, 120.0},\n\t\t\t\t\t},\n\t\t\t\t},\n\t\t\t\tChildren: make(map[string]*CheckpointFile),\n\t\t\t},\n\t\t},\n\t}\n\n\t// Write JSON checkpoint\n\tcpFile := filepath.Join(cpDir, \"1000.json\")\n\tdata, err := json.Marshal(cf)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif err := os.WriteFile(cpFile, data, 0o644); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\t// Archive to Parquet\n\tarchiveDir := filepath.Join(tmpDir, \"archive\")\n\trows, files, err := archiveCheckpointsToParquet(cpDir, \"testcluster\", \"node001\", 2000)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif len(files) != 1 || files[0] != \"1000.json\" {\n\t\tt.Fatalf(\"expected 1 file, got %v\", files)\n\t}\n\n\tparquetFile := filepath.Join(archiveDir, \"testcluster\", \"1000.parquet\")\n\twriter, err := newParquetArchiveWriter(parquetFile)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tsortParquetRows(rows)\n\tif err := writer.WriteHostRows(rows); err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif err := writer.Close(); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\t// Read back and verify\n\tf, err := os.Open(parquetFile)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tdefer f.Close()\n\n\tstat, _ := f.Stat()\n\tpf, err := pq.OpenFile(f, stat.Size())\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\treader := pq.NewGenericReader[ParquetMetricRow](pf)\n\treadRows := make([]ParquetMetricRow, 100)\n\tn, err := reader.Read(readRows)\n\tif err != nil && n == 0 {\n\t\tt.Fatal(err)\n\t}\n\treadRows = readRows[:n]\n\treader.Close()\n\n\t// We expect: cpu_load(3) + mem_used(3) + mem_bw(3) = 9 rows\n\tif n != 9 {\n\t\tt.Fatalf(\"expected 9 rows in parquet file, got %d\", n)\n\t}\n\n\t// Verify cluster and hostname are set correctly\n\tfor _, r := range readRows {\n\t\tif r.Cluster != \"testcluster\" {\n\t\t\tt.Errorf(\"expected cluster=testcluster, got %s\", r.Cluster)\n\t\t}\n\t\tif r.Hostname != \"node001\" {\n\t\t\tt.Errorf(\"expected hostname=node001, got %s\", r.Hostname)\n\t\t}\n\t}\n\n\t// Verify parquet file is smaller than JSON (compression working)\n\tif stat.Size() == 0 {\n\t\tt.Error(\"parquet file is empty\")\n\t}\n\n\tt.Logf(\"Parquet file size: %d bytes for %d rows\", stat.Size(), n)\n}\n\nfunc TestLoadCheckpointFileFromDisk_JSON(t *testing.T) {\n\ttmpDir := t.TempDir()\n\n\tcf := &CheckpointFile{\n\t\tFrom: 1000,\n\t\tTo:   1060,\n\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\"test_metric\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart:     1000,\n\t\t\t\tData:      []schema.Float{1.0, 2.0, 3.0},\n\t\t\t},\n\t\t},\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tfilename := filepath.Join(tmpDir, \"1000.json\")\n\tdata, err := json.Marshal(cf)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif err := os.WriteFile(filename, data, 0o644); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tloaded, err := loadCheckpointFileFromDisk(filename)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tif loaded.From != 1000 || loaded.To != 1060 {\n\t\tt.Errorf(\"expected From=1000, To=1060, got From=%d, To=%d\", loaded.From, loaded.To)\n\t}\n\n\tm, ok := loaded.Metrics[\"test_metric\"]\n\tif !ok {\n\t\tt.Fatal(\"expected test_metric in loaded checkpoint\")\n\t}\n\tif m.Frequency != 60 || m.Start != 1000 || len(m.Data) != 3 {\n\t\tt.Errorf(\"unexpected metric data: %+v\", m)\n\t}\n}\n","structuredPatch":[{"oldStart":191,"oldLines":7,"newStart":191,"newLines":7,"lines":[" ","   // Archive to Parquet","   archiveDir := filepath.Join(tmpDir, \"archive\")","-  rows, files, err := archiveCheckpointsToParquet(cpDir, \"testcluster\", \"node001\", 2000)","+  checkpoints, files, err := loadCheckpointFiles(cpDir, 2000)","   if err != nil {","     t.Fatal(err)","   }"]},{"oldStart":204,"oldLines":9,"newStart":204,"newLines":10,"lines":["   if err != nil {","     t.Fatal(err)","   }","-  sortParquetRows(rows)","-  if err := writer.WriteHostRows(rows); err != nil {","-    t.Fatal(err)","+  for _, cp := range checkpoints {","+    if err := writer.WriteCheckpointFile(cp, \"testcluster\", \"node001\", \"node\", \"\"); err != nil {","+      t.Fatal(err)","+    }","   }","   if err := writer.Close(); err != nil {","     t.Fatal(err)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"ab81e0f4-9408-4f9b-bbeb-01bbc3be7f1b","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"ca36eb3e-bede-40f6-9e44-1f9cadea21ae","version":"2.1.78","gitBranch":"hotfix","slug":"transient-jingling-storm"}
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+{"parentUuid":"74020bc1-ea60-424f-aace-83c5625882de","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PcvJa8QixNMTWAzC5YA33M","type":"message","role":"assistant","content":[{"type":"text","text":"Good, I already removed the `cclog` import in my edit. Now let's build and test:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":166,"cache_read_input_tokens":54083,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":166},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZArxsTvT6iDPNbHzuifF","type":"assistant","uuid":"b7bc890c-4cfc-477d-91d4-ff0bcfe7ed91","timestamp":"2026-03-18T16:29:16.546Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"ca36eb3e-bede-40f6-9e44-1f9cadea21ae","version":"2.1.78","gitBranch":"hotfix","slug":"transient-jingling-storm"}
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+{"parentUuid":"a9bbb94e-358b-4885-9c37-063bd882b5a0","isSidechain":false,"promptId":"a0100614-6c1c-4f22-9718-4c52a4866f7f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EW4GH2KoGNZSZM6pfgE1tK","type":"tool_result","content":"=== RUN   TestParseScopeFromName\n=== RUN   TestParseScopeFromName/socket0\n=== RUN   TestParseScopeFromName/socket12\n=== RUN   TestParseScopeFromName/core0\n=== RUN   TestParseScopeFromName/core127\n=== RUN   TestParseScopeFromName/cpu0\n=== RUN   TestParseScopeFromName/hwthread5\n=== RUN   TestParseScopeFromName/memoryDomain0\n=== RUN   TestParseScopeFromName/accelerator0\n=== RUN   TestParseScopeFromName/unknown\n=== RUN   TestParseScopeFromName/socketX\n--- PASS: TestParseScopeFromName (0.00s)\n    --- PASS: TestParseScopeFromName/socket0 (0.00s)\n    --- PASS: TestParseScopeFromName/socket12 (0.00s)\n    --- PASS: TestParseScopeFromName/core0 (0.00s)\n    --- PASS: TestParseScopeFromName/core127 (0.00s)\n    --- PASS: TestParseScopeFromName/cpu0 (0.00s)\n    --- PASS: TestParseScopeFromName/hwthread5 (0.00s)\n    --- PASS: TestParseScopeFromName/memoryDomain0 (0.00s)\n    --- PASS: TestParseScopeFromName/accelerator0 (0.00s)\n    --- PASS: TestParseScopeFromName/unknown (0.00s)\n    --- PASS: TestParseScopeFromName/socketX (0.00s)\n=== RUN   TestWriteCheckpointFile\n--- PASS: TestWriteCheckpointFile (0.00s)\n=== RUN   TestParquetArchiveRoundtrip\n    parquetArchive_test.go:258: Parquet file size: 2064 bytes for 9 rows\n--- PASS: TestParquetArchiveRoundtrip (0.00s)\n=== RUN   TestLoadCheckpointFileFromDisk_JSON\n--- PASS: TestLoadCheckpointFileFromDisk_JSON (0.00s)\nPASS\nok  \tgithub.com/ClusterCockpit/cc-backend/pkg/metricstore\t0.492s","is_error":false}]},"uuid":"8e0d38c1-f124-495f-9b25-a46b97a57908","timestamp":"2026-03-18T16:29:24.453Z","toolUseResult":{"stdout":"=== RUN   TestParseScopeFromName\n=== RUN   TestParseScopeFromName/socket0\n=== RUN   TestParseScopeFromName/socket12\n=== RUN   TestParseScopeFromName/core0\n=== RUN   TestParseScopeFromName/core127\n=== RUN   TestParseScopeFromName/cpu0\n=== RUN   TestParseScopeFromName/hwthread5\n=== RUN   TestParseScopeFromName/memoryDomain0\n=== RUN   TestParseScopeFromName/accelerator0\n=== RUN   TestParseScopeFromName/unknown\n=== RUN   TestParseScopeFromName/socketX\n--- PASS: TestParseScopeFromName (0.00s)\n    --- PASS: TestParseScopeFromName/socket0 (0.00s)\n    --- PASS: TestParseScopeFromName/socket12 (0.00s)\n    --- PASS: TestParseScopeFromName/core0 (0.00s)\n    --- PASS: TestParseScopeFromName/core127 (0.00s)\n    --- PASS: TestParseScopeFromName/cpu0 (0.00s)\n    --- PASS: TestParseScopeFromName/hwthread5 (0.00s)\n    --- PASS: TestParseScopeFromName/memoryDomain0 (0.00s)\n    --- PASS: TestParseScopeFromName/accelerator0 (0.00s)\n    --- PASS: TestParseScopeFromName/unknown (0.00s)\n    --- PASS: TestParseScopeFromName/socketX (0.00s)\n=== RUN   TestWriteCheckpointFile\n--- PASS: TestWriteCheckpointFile (0.00s)\n=== RUN   TestParquetArchiveRoundtrip\n    parquetArchive_test.go:258: Parquet file size: 2064 bytes for 9 rows\n--- PASS: TestParquetArchiveRoundtrip (0.00s)\n=== RUN   TestLoadCheckpointFileFromDisk_JSON\n--- PASS: TestLoadCheckpointFileFromDisk_JSON (0.00s)\nPASS\nok  \tgithub.com/ClusterCockpit/cc-backend/pkg/metricstore\t0.492s","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"a9bbb94e-358b-4885-9c37-063bd882b5a0","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"ca36eb3e-bede-40f6-9e44-1f9cadea21ae","version":"2.1.78","gitBranch":"hotfix","slug":"transient-jingling-storm"}
+{"parentUuid":"8e0d38c1-f124-495f-9b25-a46b97a57908","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01C8F7WdPaj8isfD91sFpPTz","type":"message","role":"assistant","content":[{"type":"text","text":"All 4 tests pass. Let me also run the full test suite to make sure nothing else broke:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":757,"cache_read_input_tokens":54482,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":757},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZArykdSMPnR6Z4g9JdEo","type":"assistant","uuid":"2754540e-586a-4724-adca-97c348f4154f","timestamp":"2026-03-18T16:29:27.452Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"ca36eb3e-bede-40f6-9e44-1f9cadea21ae","version":"2.1.78","gitBranch":"hotfix","slug":"transient-jingling-storm"}
+{"parentUuid":"2754540e-586a-4724-adca-97c348f4154f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01C8F7WdPaj8isfD91sFpPTz","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KHMwuuTY2Q9aVQKUGbPdrz","name":"Bash","input":{"command":"go test ./pkg/metricstore/... -v 2>&1 | tail -30","description":"Run all metricstore tests"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":757,"cache_read_input_tokens":54482,"output_tokens":117,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":757,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZArykdSMPnR6Z4g9JdEo","type":"assistant","uuid":"a263f718-a495-4e10-9ee8-53dc7d8a4b23","timestamp":"2026-03-18T16:29:27.989Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"ca36eb3e-bede-40f6-9e44-1f9cadea21ae","version":"2.1.78","gitBranch":"hotfix","slug":"transient-jingling-storm"}
+{"parentUuid":"a263f718-a495-4e10-9ee8-53dc7d8a4b23","isSidechain":false,"promptId":"a0100614-6c1c-4f22-9718-4c52a4866f7f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KHMwuuTY2Q9aVQKUGbPdrz","type":"tool_result","content":"=== RUN   TestBuildScopeQueries/MemoryDomain->Socket\n=== RUN   TestBuildScopeQueries/Accelerator->Node\n=== RUN   TestBuildScopeQueries/Accelerator->Core_(exception)\n--- PASS: TestBuildScopeQueries (0.00s)\n    --- PASS: TestBuildScopeQueries/HWThread->HWThread (0.00s)\n    --- PASS: TestBuildScopeQueries/Core->Core (0.00s)\n    --- PASS: TestBuildScopeQueries/Socket->Socket (0.00s)\n    --- PASS: TestBuildScopeQueries/MemoryDomain->MemoryDomain (0.00s)\n    --- PASS: TestBuildScopeQueries/Node->Node (0.00s)\n    --- PASS: TestBuildScopeQueries/Accelerator->Accelerator (0.00s)\n    --- PASS: TestBuildScopeQueries/HWThread->Core (0.00s)\n    --- PASS: TestBuildScopeQueries/HWThread->Socket (0.00s)\n    --- PASS: TestBuildScopeQueries/HWThread->Node (0.00s)\n    --- PASS: TestBuildScopeQueries/Core->Socket (0.00s)\n    --- PASS: TestBuildScopeQueries/Core->Node (0.00s)\n    --- PASS: TestBuildScopeQueries/Socket->Node (0.00s)\n    --- PASS: TestBuildScopeQueries/MemoryDomain->Node (0.00s)\n    --- PASS: TestBuildScopeQueries/MemoryDomain->Socket (0.00s)\n    --- PASS: TestBuildScopeQueries/Accelerator->Node (0.00s)\n    --- PASS: TestBuildScopeQueries/Accelerator->Core_(exception) (0.00s)\n=== RUN   TestBuildScopeQueries_UnhandledCase\n--- PASS: TestBuildScopeQueries_UnhandledCase (0.00s)\n=== RUN   TestIntToStringSlice\n--- PASS: TestIntToStringSlice (0.00s)\n=== RUN   TestSanitizeStats\n--- PASS: TestSanitizeStats (0.00s)\n=== RUN   TestNodeToNodeQuery\n--- PASS: TestNodeToNodeQuery (0.00s)\nPASS\nok  \tgithub.com/ClusterCockpit/cc-backend/pkg/metricstore\t0.329s","is_error":false}]},"uuid":"b74f16b7-0a63-4c43-97c2-da0415e89fb8","timestamp":"2026-03-18T16:29:29.108Z","toolUseResult":{"stdout":"=== RUN   TestBuildScopeQueries/MemoryDomain->Socket\n=== RUN   TestBuildScopeQueries/Accelerator->Node\n=== RUN   TestBuildScopeQueries/Accelerator->Core_(exception)\n--- PASS: TestBuildScopeQueries (0.00s)\n    --- PASS: TestBuildScopeQueries/HWThread->HWThread (0.00s)\n    --- PASS: TestBuildScopeQueries/Core->Core (0.00s)\n    --- PASS: TestBuildScopeQueries/Socket->Socket (0.00s)\n    --- PASS: TestBuildScopeQueries/MemoryDomain->MemoryDomain (0.00s)\n    --- PASS: TestBuildScopeQueries/Node->Node (0.00s)\n    --- PASS: TestBuildScopeQueries/Accelerator->Accelerator (0.00s)\n    --- PASS: TestBuildScopeQueries/HWThread->Core (0.00s)\n    --- PASS: TestBuildScopeQueries/HWThread->Socket (0.00s)\n    --- PASS: TestBuildScopeQueries/HWThread->Node (0.00s)\n    --- PASS: TestBuildScopeQueries/Core->Socket (0.00s)\n    --- PASS: TestBuildScopeQueries/Core->Node (0.00s)\n    --- PASS: TestBuildScopeQueries/Socket->Node (0.00s)\n    --- PASS: TestBuildScopeQueries/MemoryDomain->Node (0.00s)\n    --- PASS: TestBuildScopeQueries/MemoryDomain->Socket (0.00s)\n    --- PASS: TestBuildScopeQueries/Accelerator->Node (0.00s)\n    --- PASS: TestBuildScopeQueries/Accelerator->Core_(exception) (0.00s)\n=== RUN   TestBuildScopeQueries_UnhandledCase\n--- PASS: TestBuildScopeQueries_UnhandledCase (0.00s)\n=== RUN   TestIntToStringSlice\n--- PASS: TestIntToStringSlice (0.00s)\n=== RUN   TestSanitizeStats\n--- PASS: TestSanitizeStats (0.00s)\n=== RUN   TestNodeToNodeQuery\n--- PASS: TestNodeToNodeQuery (0.00s)\nPASS\nok  \tgithub.com/ClusterCockpit/cc-backend/pkg/metricstore\t0.329s","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"a263f718-a495-4e10-9ee8-53dc7d8a4b23","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"ca36eb3e-bede-40f6-9e44-1f9cadea21ae","version":"2.1.78","gitBranch":"hotfix","slug":"transient-jingling-storm"}
+{"parentUuid":"b74f16b7-0a63-4c43-97c2-da0415e89fb8","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01TA4bksDHnKA8AEQPXgUuqw","type":"message","role":"assistant","content":[{"type":"text","text":"All tests pass. Here's a summary of the changes:\n\n### Changes made\n\n**`pkg/metricstore/parquetArchive.go`**:\n- **Removed** `flattenCheckpointFile` — no longer materializes all rows into a giant slice\n- **Removed** `sortParquetRows` — sorting is now implicit (metrics iterated in sorted key order)\n- **Removed** `estimateRowCount` — no pre-allocation needed\n- **Removed** `archiveCheckpointsToParquet` — replaced by `loadCheckpointFiles` (returns `[]*CheckpointFile` instead of `[]ParquetMetricRow`)\n- **Removed** `WriteHostRows` — replaced by streaming `WriteCheckpointFile`\n- **Added** `WriteCheckpointFile` — walks the `CheckpointFile` tree with sorted metric/child keys, writing rows in small batches (1024) directly to the parquet writer. No intermediate `[]ParquetMetricRow` slice for the whole host.\n- **Added** `writeLevel` — recursive helper that iterates metrics in sorted key order (producing already-sorted output) and writes in batches\n- **Added** reusable `batch []ParquetMetricRow` field on the writer (1024 capacity)\n\n**`pkg/metricstore/archive.go`**:\n- **Results channel buffer**: `len(hostEntries)` → `2` — provides back-pressure so at most `NumWorkers+2` results are in flight\n- **Workers now send `[]*CheckpointFile`** instead of `[]ParquetMetricRow` — the `CheckpointFile` tree is much smaller than the flattened rows (stores `[]schema.Float` arrays, not per-row structs with 5 repeated strings)\n- **Main thread streams** each `CheckpointFile` directly to parquet via `WriteCheckpointFile`, then the `CheckpointFile` becomes eligible for GC\n\n**`pkg/metricstore/parquetArchive_test.go`**:\n- Updated `TestFlattenCheckpointFile` → `TestWriteCheckpointFile` to use the new streaming API\n- Updated `TestParquetArchiveRoundtrip` to use `loadCheckpointFiles` + `WriteCheckpointFile`"}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":791,"cache_read_input_tokens":55239,"output_tokens":542,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":791,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZArz6YkQgnpU1jpn5zQe","type":"assistant","uuid":"8c0e1b27-ba84-42a4-bbdb-84c64a33636b","timestamp":"2026-03-18T16:29:43.579Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"ca36eb3e-bede-40f6-9e44-1f9cadea21ae","version":"2.1.78","gitBranch":"hotfix","slug":"transient-jingling-storm"}
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diff --git a/f3/1dc1847539/0/metadata.json b/f3/1dc1847539/0/metadata.json
new file mode 100644
index 00000000..4ccfe7a5
--- /dev/null
+++ b/f3/1dc1847539/0/metadata.json
@@ -0,0 +1,35 @@
+{
+  "cli_version": "0.5.0",
+  "checkpoint_id": "f31dc1847539",
+  "session_id": "ca36eb3e-bede-40f6-9e44-1f9cadea21ae",
+  "strategy": "manual-commit",
+  "created_at": "2026-03-18T16:32:20.267759Z",
+  "branch": "hotfix",
+  "checkpoints_count": 1,
+  "files_touched": [
+    "pkg/metricstore/archive.go",
+    "pkg/metricstore/parquetArchive.go",
+    "pkg/metricstore/parquetArchive_test.go"
+  ],
+  "agent": "Claude Code",
+  "turn_id": "232b19b124ad",
+  "token_usage": {
+    "input_tokens": 20,
+    "cache_creation_tokens": 42891,
+    "cache_read_tokens": 758607,
+    "output_tokens": 13513,
+    "api_call_count": 16
+  },
+  "session_metrics": {
+    "turn_count": 1
+  },
+  "initial_attribution": {
+    "calculated_at": "2026-03-18T16:32:20.178407Z",
+    "agent_lines": 155,
+    "human_added": 0,
+    "human_modified": 0,
+    "human_removed": 0,
+    "total_committed": 155,
+    "agent_percentage": 100
+  }
+}
diff --git a/f3/1dc1847539/0/prompt.txt b/f3/1dc1847539/0/prompt.txt
new file mode 100644
index 00000000..b66a05d5
--- /dev/null
+++ b/f3/1dc1847539/0/prompt.txt
@@ -0,0 +1 @@
+Commit it
\ No newline at end of file
diff --git a/f3/1dc1847539/metadata.json b/f3/1dc1847539/metadata.json
new file mode 100644
index 00000000..a8dd6510
--- /dev/null
+++ b/f3/1dc1847539/metadata.json
@@ -0,0 +1,27 @@
+{
+  "cli_version": "0.5.0",
+  "checkpoint_id": "f31dc1847539",
+  "strategy": "manual-commit",
+  "branch": "hotfix",
+  "checkpoints_count": 1,
+  "files_touched": [
+    "pkg/metricstore/archive.go",
+    "pkg/metricstore/parquetArchive.go",
+    "pkg/metricstore/parquetArchive_test.go"
+  ],
+  "sessions": [
+    {
+      "metadata": "/f3/1dc1847539/0/metadata.json",
+      "transcript": "/f3/1dc1847539/0/full.jsonl",
+      "content_hash": "/f3/1dc1847539/0/content_hash.txt",
+      "prompt": "/f3/1dc1847539/0/prompt.txt"
+    }
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+}
diff --git a/f6/9e38210bb1/0/content_hash.txt b/f6/9e38210bb1/0/content_hash.txt
new file mode 100644
index 00000000..166ec5e3
--- /dev/null
+++ b/f6/9e38210bb1/0/content_hash.txt
@@ -0,0 +1 @@
+sha256:27b8f9fae1634ed27518f5c837abbbc4ebee285cd86c0bb9a0bad308317973b3
\ No newline at end of file
diff --git a/f6/9e38210bb1/0/full.jsonl b/f6/9e38210bb1/0/full.jsonl
new file mode 100644
index 00000000..5fc5ec06
--- /dev/null
+++ b/f6/9e38210bb1/0/full.jsonl
@@ -0,0 +1,210 @@
+{"type":"file-history-snapshot","messageId":"00a69c33-3e52-4c96-af2e-eab1ad975e2a","snapshot":{"messageId":"00a69c33-3e52-4c96-af2e-eab1ad975e2a","trackedFileBackups":{},"timestamp":"2026-03-20T04:23:54.140Z"},"isSnapshotUpdate":false}
+{"parentUuid":null,"isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"5b4a57e8-7ed9-4df4-9509-3f95489c57fb","toolUseID":"5b4a57e8-7ed9-4df4-9509-3f95489c57fb","timestamp":"2026-03-20T04:23:54.095Z","uuid":"53f4f60c-6d42-4416-a582-c0e33a4f089a","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"53f4f60c-6d42-4416-a582-c0e33a4f089a","isSidechain":false,"promptId":"0763b03c-10c2-419e-8e69-b6ee9bffed71","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Plan: Per-User Resampling Preferences with Policy-Based Configuration\n\n## Context\n\nResampling is currently configured via explicit numerical parameters in `config.json` (`minimum-points`, `resolutions`, `trigger`). The resampling algorithm isn't configurable at all from the frontend. Users should be able to control two things from the UI settings:\n\n1. **Resampling policy** (low/medium/high) — controls how aggressively data is downsampled, replacing the explicit `resolutions`/`minimum-points`/`trigger` numbers with automatic computation based on job duration and metric frequency\n2. **Resampling algorithm** (LTTB/AVERAGE/SIMPLE) — controls which downsampling method is used\n\nBoth are persisted per-user. Zoom-to-refine continues to work, dynamically recomputing resolution from the visible time window.\n\n## Design\n\n### Policy mechanics\n\nA policy defines a **target datapoint count**. The resolution is computed dynamically:\n\n| Policy | Target points | Use case |\n|--------|--------------|----------|\n| Low | ~200 | Fast rendering, overview |\n| Medium | ~500 | Balanced (default) |\n| High | ~1000 | Maximum detail |\n\n**Resolution computation** (new helper function):\n```\ntargetResolution = ceil(duration / targetPoints)\n// Round up to nearest multiple of metric frequency\nresolution = ceil(targetResolution / frequency) * frequency\n// If totalPoints <= targetPoints, no resampling (resolution = 0)\n```\n\n**Example** (60s frequency, 24h job = 1440 points):\n- Low (200): resolution = ceil(86400/200) = 432 → round to 480s (8×60)\n- Medium (500): resolution = ceil(86400/500) = 173 → round to 180s (3×60)\n- High (1000): resolution = ceil(86400/1000) = 87 → round to 120s (2×60)\n\n**Example** (60s frequency, 2h job = 120 points):\n- All policies: 120 ≤ 200, no resampling at any level\n\n### Zoom refinement\n\nCurrently the frontend zoom uses `resampleConfig.trigger` and `resampleConfig.resolutions` to pick the next resolution level. With policies, this changes to:\n\n- The **trigger** is derived from the policy's target points (e.g., trigger = targetPoints / 4, so ~50/125/250)\n- Instead of picking from a fixed `resolutions` array, the frontend computes the new resolution dynamically: `newRes = ceil(visibleWindowDuration / targetPoints / frequency) * frequency`\n- The `resampleConfig` passed to the frontend changes from `{trigger, resolutions, minimumPoints}` to `{targetPoints, trigger}` — both derived from the policy\n\n### Config keys\n\n- `plotConfiguration_resampleAlgo` — string: `\"\"` (default/none), `\"lttb\"`, `\"average\"`, `\"simple\"`\n- `plotConfiguration_resamplePolicy` — string: `\"\"` (default/none), `\"low\"`, `\"medium\"`, `\"high\"`\n\n### What replaces what\n\n| Old (explicit config.json) | New (policy-derived) |\n|---------------------------|---------------------|\n| `resolutions: [600,300,60]` | Computed from policy + job duration + frequency |\n| `minimum-points: 600` | Implicit: if totalPoints ≤ targetPoints, skip resampling |\n| `trigger: 30` | Derived from targetPoints (targetPoints / 4) |\n| No algo choice | Per-user `resampleAlgo` setting |\n\nThe global `EnableResampling` config still acts as the **on/off switch** — if not configured, no resampling happens at all. But the explicit numerical parameters become optional overrides; the policy takes precedence when set.\n\n## Implementation Steps\n\n### Step 1: Add policy constants and resolution computation helper\n\n**New file: `internal/metricdispatch/resamplepolicy.go`**\n\n```go\ntype ResamplePolicy string\nconst (\n    ResamplePolicyLow    ResamplePolicy = \"low\"\n    ResamplePolicyMedium ResamplePolicy = \"medium\"\n    ResamplePolicyHigh   ResamplePolicy = \"high\"\n)\n\nfunc TargetPointsForPolicy(policy ResamplePolicy) int\nfunc ComputeResolution(duration int64, frequency int64, targetPoints int) int\n```\n\n`ComputeResolution` returns 0 (no resampling) when total points ≤ target, otherwise the rounded resolution in seconds.\n\n### Step 2: Add UIDefaults entries — `web/web.go`\n\nAdd to `PlotConfiguration` struct:\n```go\nResampleAlgo   string `json:\"resample-algo\"`\nResamplePolicy string `json:\"resample-policy\"`\n```\n\nAdd to `UIDefaultsMap` in `Init()`:\n```go\nUIDefaultsMap[\"plotConfiguration_resampleAlgo\"] = UIDefaults.PlotConfiguration.ResampleAlgo\nUIDefaultsMap[\"plotConfiguration_resamplePolicy\"] = UIDefaults.PlotConfiguration.ResamplePolicy\n```\n\nDefaults: both `\"\"` (empty = no preference, fall back to current behavior).\n\n### Step 3: Backend resolvers — `internal/graph/schema.resolvers.go`\n\n**In `JobMetrics` resolver (~line 501):**\n\nWhen `resolution == nil` AND user has a resample policy:\n1. Read `plotConfiguration_resamplePolicy` from user config\n2. Get the job (already fetched at line 512)\n3. Look up the metric frequency from cluster config\n4. Call `ComputeResolution(job.Duration, frequency, targetPoints)`\n5. Use the computed resolution instead of `max(resolutions)`\n\nWhen `resampleAlgo == nil`:\n1. Read `plotConfiguration_resampleAlgo` from user config\n2. Use it as `algoName`\n\nFall back to existing `config.Keys.EnableResampling` logic when no user preference is set.\n\n**In `NodeMetricsList` resolver (~line 880):**\nSame pattern. Duration comes from `to - from` parameters.\n\n### Step 4: Frontend zoom — `web/frontend/src/generic/plots/MetricPlot.svelte`\n\nChange the `resampleConfig` context shape. Currently: `{trigger, resolutions, minimumPoints}`. New: also include `targetPoints` when policy is active.\n\nModify `setScale` hook (line 515-533):\n- Instead of finding closest from `resampleResolutions` array, compute dynamically:\n  ```js\n  const visibleDuration = (u.scales.x.max - u.scales.x.min);\n  const newRes = Math.ceil(visibleDuration / targetPoints / timestep) * timestep;\n  ```\n- Keep the trigger check: `if (numX <= trigger && timestep !== frequency)`\n- The `frequency` (native metric timestep) becomes the floor — never request finer than native\n\nThis is backward-compatible: if `resampleConfig` has old-style `resolutions` array, use the existing logic.\n\n### Step 5: Pass policy-derived config to frontend\n\n**In route handlers** (where `Page.Resampling` is set): When a user has a policy, compute `targetPoints` and `trigger` from the policy and include them in the `ResampleConfig` passed to the template.\n\nKey files to check: search for where `Page.Resampling` is populated.\n\n### Step 6: Frontend settings UI — `web/frontend/src/config/user/PlotRenderOptions.svelte`\n\nAdd two new cards:\n\n**Resample Policy card:**\n- Radio buttons: Default, Low, Medium, High\n- Key: `plotConfiguration_resamplePolicy`\n- Help text: \"Controls how many data points are shown in metric plots. Low = fast overview (~200 points), Medium = balanced (~500), High = maximum detail (~1000).\"\n\n**Resample Algorithm card:**\n- Radio buttons: Default, LTTB, Average, Simple\n- Key: `plotConfiguration_resampleAlgo`\n- Help text: \"Algorithm used when downsampling time-series data. LTTB preserves visual shape, Average smooths data, Simple picks every Nth point.\"\n\nBoth cards shown only when resampling is globally enabled (check `resampleConfig` via context — thread it as prop from `UserSettings.svelte`).\n\n## Files to Modify\n\n| File | Change |\n|------|--------|\n| `internal/metricdispatch/resamplepolicy.go` | **NEW** — policy constants + `ComputeResolution()` helper |\n| `web/web.go` | Add `ResampleAlgo`/`ResamplePolicy` to `PlotConfiguration` + UIDefaultsMap |\n| `internal/graph/schema.resolvers.go` | Read user policy/algo preferences; compute resolution from policy |\n| `web/frontend/src/generic/plots/MetricPlot.svelte` | Dynamic resolution computation on zoom (alongside existing array-based logic) |\n| `web/frontend/src/config/user/PlotRenderOptions.svelte` | Two new settings cards |\n| `web/frontend/src/config/UserSettings.svelte` | Thread `resampleConfig` context to PlotRenderOptions |\n\n## What Does NOT Change\n\n- GraphQL schema — `resolution: Int` and `resampleAlgo: ResampleAlgo` params already exist\n- Database schema — `configuration` table already handles arbitrary key-value pairs\n- cc-lib resampler — called with computed values, no API change needed\n- `config.json` `EnableResampling` — still the global on/off switch; explicit values remain as fallback\n\n## Verification\n\n1. `go build ./cmd/cc-backend` — compiles\n2. `go test ./internal/metricdispatch/...` — test `ComputeResolution()` with various durations/frequencies/policies\n3. `go test ./...` — all existing tests pass\n4. Manual: set policy to \"low\", load a long job → verify fewer datapoints in response (check `timestep` field)\n5. Manual: zoom into a plot → verify it refetches at finer resolution\n6. Manual: set algo to \"average\", verify resampled data uses averaging\n7. Manual: no preferences set → verify identical behavior to current (backward compat)\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-tmp-cc-backend/6f9f7d00-7153-46bb-97c8-ea14c48ceb2f.jsonl"},"uuid":"00a69c33-3e52-4c96-af2e-eab1ad975e2a","timestamp":"2026-03-20T04:23:53.959Z","planContent":"# Plan: Per-User Resampling Preferences with Policy-Based Configuration\n\n## Context\n\nResampling is currently configured via explicit numerical parameters in `config.json` (`minimum-points`, `resolutions`, `trigger`). The resampling algorithm isn't configurable at all from the frontend. Users should be able to control two things from the UI settings:\n\n1. **Resampling policy** (low/medium/high) — controls how aggressively data is downsampled, replacing the explicit `resolutions`/`minimum-points`/`trigger` numbers with automatic computation based on job duration and metric frequency\n2. **Resampling algorithm** (LTTB/AVERAGE/SIMPLE) — controls which downsampling method is used\n\nBoth are persisted per-user. Zoom-to-refine continues to work, dynamically recomputing resolution from the visible time window.\n\n## Design\n\n### Policy mechanics\n\nA policy defines a **target datapoint count**. The resolution is computed dynamically:\n\n| Policy | Target points | Use case |\n|--------|--------------|----------|\n| Low | ~200 | Fast rendering, overview |\n| Medium | ~500 | Balanced (default) |\n| High | ~1000 | Maximum detail |\n\n**Resolution computation** (new helper function):\n```\ntargetResolution = ceil(duration / targetPoints)\n// Round up to nearest multiple of metric frequency\nresolution = ceil(targetResolution / frequency) * frequency\n// If totalPoints <= targetPoints, no resampling (resolution = 0)\n```\n\n**Example** (60s frequency, 24h job = 1440 points):\n- Low (200): resolution = ceil(86400/200) = 432 → round to 480s (8×60)\n- Medium (500): resolution = ceil(86400/500) = 173 → round to 180s (3×60)\n- High (1000): resolution = ceil(86400/1000) = 87 → round to 120s (2×60)\n\n**Example** (60s frequency, 2h job = 120 points):\n- All policies: 120 ≤ 200, no resampling at any level\n\n### Zoom refinement\n\nCurrently the frontend zoom uses `resampleConfig.trigger` and `resampleConfig.resolutions` to pick the next resolution level. With policies, this changes to:\n\n- The **trigger** is derived from the policy's target points (e.g., trigger = targetPoints / 4, so ~50/125/250)\n- Instead of picking from a fixed `resolutions` array, the frontend computes the new resolution dynamically: `newRes = ceil(visibleWindowDuration / targetPoints / frequency) * frequency`\n- The `resampleConfig` passed to the frontend changes from `{trigger, resolutions, minimumPoints}` to `{targetPoints, trigger}` — both derived from the policy\n\n### Config keys\n\n- `plotConfiguration_resampleAlgo` — string: `\"\"` (default/none), `\"lttb\"`, `\"average\"`, `\"simple\"`\n- `plotConfiguration_resamplePolicy` — string: `\"\"` (default/none), `\"low\"`, `\"medium\"`, `\"high\"`\n\n### What replaces what\n\n| Old (explicit config.json) | New (policy-derived) |\n|---------------------------|---------------------|\n| `resolutions: [600,300,60]` | Computed from policy + job duration + frequency |\n| `minimum-points: 600` | Implicit: if totalPoints ≤ targetPoints, skip resampling |\n| `trigger: 30` | Derived from targetPoints (targetPoints / 4) |\n| No algo choice | Per-user `resampleAlgo` setting |\n\nThe global `EnableResampling` config still acts as the **on/off switch** — if not configured, no resampling happens at all. But the explicit numerical parameters become optional overrides; the policy takes precedence when set.\n\n## Implementation Steps\n\n### Step 1: Add policy constants and resolution computation helper\n\n**New file: `internal/metricdispatch/resamplepolicy.go`**\n\n```go\ntype ResamplePolicy string\nconst (\n    ResamplePolicyLow    ResamplePolicy = \"low\"\n    ResamplePolicyMedium ResamplePolicy = \"medium\"\n    ResamplePolicyHigh   ResamplePolicy = \"high\"\n)\n\nfunc TargetPointsForPolicy(policy ResamplePolicy) int\nfunc ComputeResolution(duration int64, frequency int64, targetPoints int) int\n```\n\n`ComputeResolution` returns 0 (no resampling) when total points ≤ target, otherwise the rounded resolution in seconds.\n\n### Step 2: Add UIDefaults entries — `web/web.go`\n\nAdd to `PlotConfiguration` struct:\n```go\nResampleAlgo   string `json:\"resample-algo\"`\nResamplePolicy string `json:\"resample-policy\"`\n```\n\nAdd to `UIDefaultsMap` in `Init()`:\n```go\nUIDefaultsMap[\"plotConfiguration_resampleAlgo\"] = UIDefaults.PlotConfiguration.ResampleAlgo\nUIDefaultsMap[\"plotConfiguration_resamplePolicy\"] = UIDefaults.PlotConfiguration.ResamplePolicy\n```\n\nDefaults: both `\"\"` (empty = no preference, fall back to current behavior).\n\n### Step 3: Backend resolvers — `internal/graph/schema.resolvers.go`\n\n**In `JobMetrics` resolver (~line 501):**\n\nWhen `resolution == nil` AND user has a resample policy:\n1. Read `plotConfiguration_resamplePolicy` from user config\n2. Get the job (already fetched at line 512)\n3. Look up the metric frequency from cluster config\n4. Call `ComputeResolution(job.Duration, frequency, targetPoints)`\n5. Use the computed resolution instead of `max(resolutions)`\n\nWhen `resampleAlgo == nil`:\n1. Read `plotConfiguration_resampleAlgo` from user config\n2. Use it as `algoName`\n\nFall back to existing `config.Keys.EnableResampling` logic when no user preference is set.\n\n**In `NodeMetricsList` resolver (~line 880):**\nSame pattern. Duration comes from `to - from` parameters.\n\n### Step 4: Frontend zoom — `web/frontend/src/generic/plots/MetricPlot.svelte`\n\nChange the `resampleConfig` context shape. Currently: `{trigger, resolutions, minimumPoints}`. New: also include `targetPoints` when policy is active.\n\nModify `setScale` hook (line 515-533):\n- Instead of finding closest from `resampleResolutions` array, compute dynamically:\n  ```js\n  const visibleDuration = (u.scales.x.max - u.scales.x.min);\n  const newRes = Math.ceil(visibleDuration / targetPoints / timestep) * timestep;\n  ```\n- Keep the trigger check: `if (numX <= trigger && timestep !== frequency)`\n- The `frequency` (native metric timestep) becomes the floor — never request finer than native\n\nThis is backward-compatible: if `resampleConfig` has old-style `resolutions` array, use the existing logic.\n\n### Step 5: Pass policy-derived config to frontend\n\n**In route handlers** (where `Page.Resampling` is set): When a user has a policy, compute `targetPoints` and `trigger` from the policy and include them in the `ResampleConfig` passed to the template.\n\nKey files to check: search for where `Page.Resampling` is populated.\n\n### Step 6: Frontend settings UI — `web/frontend/src/config/user/PlotRenderOptions.svelte`\n\nAdd two new cards:\n\n**Resample Policy card:**\n- Radio buttons: Default, Low, Medium, High\n- Key: `plotConfiguration_resamplePolicy`\n- Help text: \"Controls how many data points are shown in metric plots. Low = fast overview (~200 points), Medium = balanced (~500), High = maximum detail (~1000).\"\n\n**Resample Algorithm card:**\n- Radio buttons: Default, LTTB, Average, Simple\n- Key: `plotConfiguration_resampleAlgo`\n- Help text: \"Algorithm used when downsampling time-series data. LTTB preserves visual shape, Average smooths data, Simple picks every Nth point.\"\n\nBoth cards shown only when resampling is globally enabled (check `resampleConfig` via context — thread it as prop from `UserSettings.svelte`).\n\n## Files to Modify\n\n| File | Change |\n|------|--------|\n| `internal/metricdispatch/resamplepolicy.go` | **NEW** — policy constants + `ComputeResolution()` helper |\n| `web/web.go` | Add `ResampleAlgo`/`ResamplePolicy` to `PlotConfiguration` + UIDefaultsMap |\n| `internal/graph/schema.resolvers.go` | Read user policy/algo preferences; compute resolution from policy |\n| `web/frontend/src/generic/plots/MetricPlot.svelte` | Dynamic resolution computation on zoom (alongside existing array-based logic) |\n| `web/frontend/src/config/user/PlotRenderOptions.svelte` | Two new settings cards |\n| `web/frontend/src/config/UserSettings.svelte` | Thread `resampleConfig` context to PlotRenderOptions |\n\n## What Does NOT Change\n\n- GraphQL schema — `resolution: Int` and `resampleAlgo: ResampleAlgo` params already exist\n- Database schema — `configuration` table already handles arbitrary key-value pairs\n- cc-lib resampler — called with computed values, no API change needed\n- `config.json` `EnableResampling` — still the global on/off switch; explicit values remain as fallback\n\n## Verification\n\n1. `go build ./cmd/cc-backend` — compiles\n2. `go test ./internal/metricdispatch/...` — test `ComputeResolution()` with various durations/frequencies/policies\n3. `go test ./...` — all existing tests pass\n4. Manual: set policy to \"low\", load a long job → verify fewer datapoints in response (check `timestep` field)\n5. Manual: zoom into a plot → verify it refetches at finer resolution\n6. Manual: set algo to \"average\", verify resampled data uses averaging\n7. Manual: no preferences set → verify identical behavior to current (backward compat)\n","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
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This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package web implements the HTML templating and web frontend configuration\n     7→package web\n     8→\n     9→import (\n    10→\t\"embed\"\n    11→\t\"encoding/json\"\n    12→\t\"html/template\"\n    13→\t\"io/fs\"\n    14→\t\"net/http\"\n    15→\t\"strings\"\n    16→\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    21→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n    22→)\n    23→\n    24→type WebConfig struct {\n    25→\tJobList           JobListConfig     `json:\"job-list\"`\n    26→\tNodeList          NodeListConfig    `json:\"node-list\"`\n    27→\tJobView           JobViewConfig     `json:\"job-view\"`\n    28→\tMetricConfig      MetricConfig      `json:\"metric-config\"`\n    29→\tPlotConfiguration PlotConfiguration `json:\"plot-configuration\"`\n    30→}\n    31→\n    32→type JobListConfig struct {\n    33→\tUsePaging     bool `json:\"use-paging\"`\n    34→\tShowFootprint bool `json:\"show-footprint\"`\n    35→}\n    36→\n    37→type NodeListConfig struct {\n    38→\tUsePaging bool `json:\"use-paging\"`\n    39→}\n    40→\n    41→type JobViewConfig struct {\n    42→\tShowPolarPlot bool `json:\"show-polar-plot\"`\n    43→\tShowFootprint bool `json:\"show-footprint\"`\n    44→\tShowRoofline  bool `json:\"show-roofline\"`\n    45→\tShowStatTable bool `json:\"show-stat-table\"`\n    46→}\n    47→\n    48→type MetricConfig struct {\n    49→\tJobListMetrics      []string        `json:\"job-list-metrics\"`\n    50→\tJobViewPlotMetrics  []string        `json:\"job-view-plot-metrics\"`\n    51→\tJobViewTableMetrics []string        `json:\"job-view-table-metrics\"`\n    52→\tClusters            []ClusterConfig `json:\"clusters\"`\n    53→}\n    54→\n    55→type ClusterConfig struct {\n    56→\tName                string             `json:\"name\"`\n    57→\tJobListMetrics      []string           `json:\"job-list-metrics\"`\n    58→\tJobViewPlotMetrics  []string           `json:\"job-view-plot-metrics\"`\n    59→\tJobViewTableMetrics []string           `json:\"job-view-table-metrics\"`\n    60→\tSubClusters         []SubClusterConfig `json:\"sub-clusters\"`\n    61→}\n    62→\n    63→type SubClusterConfig struct {\n    64→\tName                string   `json:\"name\"`\n    65→\tJobListMetrics      []string `json:\"job-list-metrics\"`\n    66→\tJobViewPlotMetrics  []string `json:\"job-view-plot-metrics\"`\n    67→\tJobViewTableMetrics []string `json:\"job-view-table-metrics\"`\n    68→}\n    69→\n    70→type PlotConfiguration struct {\n    71→\tColorBackground bool     `json:\"color-background\"`\n    72→\tPlotsPerRow     int      `json:\"plots-per-row\"`\n    73→\tLineWidth       int      `json:\"line-width\"`\n    74→\tColorScheme     []string `json:\"color-scheme\"`\n    75→}\n    76→\n    77→var UIDefaults = WebConfig{\n    78→\tJobList: JobListConfig{\n    79→\t\tUsePaging:     false,\n    80→\t\tShowFootprint: false,\n    81→\t},\n    82→\tNodeList: NodeListConfig{\n    83→\t\tUsePaging: false,\n    84→\t},\n    85→\tJobView: JobViewConfig{\n    86→\t\tShowPolarPlot: true,\n    87→\t\tShowFootprint: false,\n    88→\t\tShowRoofline:  true,\n    89→\t\tShowStatTable: true,\n    90→\t},\n    91→\tMetricConfig: MetricConfig{\n    92→\t\tJobListMetrics:      []string{\"cpu_load\", \"flops_any\", \"mem_bw\", \"mem_used\"},\n    93→\t\tJobViewPlotMetrics:  []string{\"cpu_load\", \"flops_any\", \"mem_bw\", \"mem_used\"},\n    94→\t\tJobViewTableMetrics: []string{\"flops_any\", \"mem_bw\", \"mem_used\"},\n    95→\t},\n    96→\tPlotConfiguration: PlotConfiguration{\n    97→\t\tColorBackground: true,\n    98→\t\tPlotsPerRow:     3,\n    99→\t\tLineWidth:       3,\n   100→\t\tColorScheme:     []string{\"#00bfff\", \"#0000ff\", \"#ff00ff\", \"#ff0000\", \"#ff8000\", \"#ffff00\", \"#80ff00\"},\n   101→\t},\n   102→}\n   103→\n   104→var UIDefaultsMap map[string]any\n   105→\n   106→//\n   107→// \tmap[string]any{\n   108→// \t\"analysis_view_histogramMetrics\":         []string{\"flops_any\", \"mem_bw\", \"mem_used\"},\n   109→// \t\"analysis_view_scatterPlotMetrics\":       [][]string{{\"flops_any\", \"mem_bw\"}, {\"flops_any\", \"cpu_load\"}, {\"cpu_load\", \"mem_bw\"}},\n   110→// \t\"job_view_nodestats_selectedMetrics\":     []string{\"flops_any\", \"mem_bw\", \"mem_used\"},\n   111→// \t\"plot_list_jobsPerPage\":                  50,\n   112→// \t\"analysis_view_selectedTopEntity\":        \"user\",\n   113→// \t\"analysis_view_selectedTopCategory\":      \"totalWalltime\",\n   114→// \t\"status_view_selectedTopUserCategory\":    \"totalJobs\",\n   115→// \t\"status_view_selectedTopProjectCategory\": \"totalJobs\",\n   116→// }\n   117→\n   118→func Init(rawConfig json.RawMessage) error {\n   119→\tvar err error\n   120→\n   121→\tif rawConfig != nil {\n   122→\t\tconfig.Validate(configSchema, rawConfig)\n   123→\t\tif err = json.Unmarshal(rawConfig, &UIDefaults); err != nil {\n   124→\t\t\tcclog.Warn(\"Error while unmarshaling raw config json\")\n   125→\t\t\treturn err\n   126→\t\t}\n   127→\t}\n   128→\n   129→\tUIDefaultsMap = make(map[string]any)\n   130→\n   131→\tUIDefaultsMap[\"jobList_usePaging\"] = UIDefaults.JobList.UsePaging\n   132→\tUIDefaultsMap[\"jobList_showFootprint\"] = UIDefaults.JobList.ShowFootprint\n   133→\tUIDefaultsMap[\"nodeList_usePaging\"] = UIDefaults.NodeList.UsePaging\n   134→\tUIDefaultsMap[\"jobView_showPolarPlot\"] = UIDefaults.JobView.ShowPolarPlot\n   135→\tUIDefaultsMap[\"jobView_showFootprint\"] = UIDefaults.JobView.ShowFootprint\n   136→\tUIDefaultsMap[\"jobView_showRoofline\"] = UIDefaults.JobView.ShowRoofline\n   137→\tUIDefaultsMap[\"jobView_showStatTable\"] = UIDefaults.JobView.ShowStatTable\n   138→\n   139→\tUIDefaultsMap[\"metricConfig_jobListMetrics\"] = UIDefaults.MetricConfig.JobListMetrics\n   140→\tUIDefaultsMap[\"metricConfig_jobViewPlotMetrics\"] = UIDefaults.MetricConfig.JobViewPlotMetrics\n   141→\tUIDefaultsMap[\"metricConfig_jobViewTableMetrics\"] = UIDefaults.MetricConfig.JobViewTableMetrics\n   142→\n   143→\tUIDefaultsMap[\"plotConfiguration_colorBackground\"] = UIDefaults.PlotConfiguration.ColorBackground\n   144→\tUIDefaultsMap[\"plotConfiguration_plotsPerRow\"] = UIDefaults.PlotConfiguration.PlotsPerRow\n   145→\tUIDefaultsMap[\"plotConfiguration_lineWidth\"] = UIDefaults.PlotConfiguration.LineWidth\n   146→\tUIDefaultsMap[\"plotConfiguration_colorScheme\"] = UIDefaults.PlotConfiguration.ColorScheme\n   147→\n   148→\tfor _, c := range UIDefaults.MetricConfig.Clusters {\n   149→\t\tif c.JobListMetrics != nil {\n   150→\t\t\tUIDefaultsMap[\"metricConfig_jobListMetrics:\"+c.Name] = c.JobListMetrics\n   151→\t\t}\n   152→\t\tif c.JobViewPlotMetrics != nil {\n   153→\t\t\tUIDefaultsMap[\"metricConfig_jobViewPlotMetrics:\"+c.Name] = c.JobViewPlotMetrics\n   154→\t\t}\n   155→\t\tif c.JobViewTableMetrics != nil {\n   156→\t\t\tUIDefaultsMap[\"metricConfig_jobViewTableMetrics:\"+c.Name] = c.JobViewTableMetrics\n   157→\t\t}\n   158→\n   159→\t\tfor _, sc := range c.SubClusters {\n   160→\t\t\tsuffix := strings.Join([]string{c.Name, sc.Name}, \":\")\n   161→\t\t\tif sc.JobListMetrics != nil {\n   162→\t\t\t\tUIDefaultsMap[\"metricConfig_jobListMetrics:\"+suffix] = sc.JobListMetrics\n   163→\t\t\t}\n   164→\t\t\tif sc.JobViewPlotMetrics != nil {\n   165→\t\t\t\tUIDefaultsMap[\"metricConfig_jobViewPlotMetrics:\"+suffix] = sc.JobViewPlotMetrics\n   166→\t\t\t}\n   167→\t\t\tif sc.JobViewTableMetrics != nil {\n   168→\t\t\t\tUIDefaultsMap[\"metricConfig_jobViewTableMetrics:\"+suffix] = sc.JobViewTableMetrics\n   169→\t\t\t}\n   170→\t\t}\n   171→\t}\n   172→\n   173→\treturn err\n   174→}\n   175→\n   176→// / Go's embed is only allowed to embed files in a subdirectory of the embedding package ([see here](https://github.com/golang/go/issues/46056)).\n   177→//\n   178→//go:embed frontend/public/*\n   179→var frontendFiles embed.FS\n   180→\n   181→func ServeFiles() http.Handler {\n   182→\tpublicFiles, err := fs.Sub(frontendFiles, \"frontend/public\")\n   183→\tif err != nil {\n   184→\t\tcclog.Abortf(\"Serve Files: Could not find 'frontend/public' file directory.\\nError: %s\\n\", err.Error())\n   185→\t}\n   186→\treturn http.FileServer(http.FS(publicFiles))\n   187→}\n   188→\n   189→// StaticFileExists checks whether a static file exists in the embedded frontend FS.\n   190→func StaticFileExists(path string) bool {\n   191→\tpath = strings.TrimPrefix(path, \"/\")\n   192→\tif path == \"\" {\n   193→\t\treturn false\n   194→\t}\n   195→\t_, err := fs.Stat(frontendFiles, \"frontend/public/\"+path)\n   196→\treturn err == nil\n   197→}\n   198→\n   199→//go:embed templates/*\n   200→var templateFiles embed.FS\n   201→\n   202→var templates map[string]*template.Template = map[string]*template.Template{}\n   203→\n   204→func init() {\n   205→\tbase := template.Must(template.ParseFS(templateFiles, \"templates/base.tmpl\"))\n   206→\tif err := fs.WalkDir(templateFiles, \"templates\", func(path string, d fs.DirEntry, err error) error {\n   207→\t\tif err != nil {\n   208→\t\t\treturn err\n   209→\t\t}\n   210→\t\tif d.IsDir() || path == \"templates/base.tmpl\" {\n   211→\t\t\treturn nil\n   212→\t\t}\n   213→\n   214→\t\tif path == \"templates/404.tmpl\" {\n   215→\t\t\ttemplates[strings.TrimPrefix(path, \"templates/\")] = template.Must(template.ParseFS(templateFiles, path))\n   216→\t\t\treturn nil\n   217→\t\t}\n   218→\t\tif path == \"templates/login.tmpl\" {\n   219→\t\t\tif util.CheckFileExists(\"./var/login.tmpl\") {\n   220→\t\t\t\tcclog.Info(\"overwrite login.tmpl with local file\")\n   221→\t\t\t\ttemplates[strings.TrimPrefix(path, \"templates/\")] = template.Must(template.Must(base.Clone()).ParseFiles(\"./var/login.tmpl\"))\n   222→\t\t\t\treturn nil\n   223→\t\t\t}\n   224→\t\t}\n   225→\t\tif path == \"templates/imprint.tmpl\" {\n   226→\t\t\tif util.CheckFileExists(\"./var/imprint.tmpl\") {\n   227→\t\t\t\tcclog.Info(\"overwrite imprint.tmpl with local file\")\n   228→\t\t\t\ttemplates[strings.TrimPrefix(path, \"templates/\")] = template.Must(template.Must(base.Clone()).ParseFiles(\"./var/imprint.tmpl\"))\n   229→\t\t\t\treturn nil\n   230→\t\t\t}\n   231→\t\t}\n   232→\t\tif path == \"templates/privacy.tmpl\" {\n   233→\t\t\tif util.CheckFileExists(\"./var/privacy.tmpl\") {\n   234→\t\t\t\tcclog.Info(\"overwrite privacy.tmpl with local file\")\n   235→\t\t\t\ttemplates[strings.TrimPrefix(path, \"templates/\")] = template.Must(template.Must(base.Clone()).ParseFiles(\"./var/privacy.tmpl\"))\n   236→\t\t\t\treturn nil\n   237→\t\t\t}\n   238→\t\t}\n   239→\n   240→\t\ttemplates[strings.TrimPrefix(path, \"templates/\")] = template.Must(template.Must(base.Clone()).ParseFS(templateFiles, path))\n   241→\t\treturn nil\n   242→\t}); err != nil {\n   243→\t\tcclog.Abortf(\"Web init(): Could not find frontend template files.\\nError: %s\\n\", err.Error())\n   244→\t}\n   245→\n   246→\t_ = base\n   247→}\n   248→\n   249→type Build struct {\n   250→\tVersion   string\n   251→\tHash      string\n   252→\tBuildtime string\n   253→}\n   254→\n   255→type Page struct {\n   256→\tTitle         string                 // Page title\n   257→\tMsgType       string                 // For generic use in message boxes\n   258→\tMessage       string                 // For generic use in message boxes\n   259→\tUser          schema.User            // Information about the currently logged in user (Full User Info)\n   260→\tRoles         map[string]schema.Role // Available roles for frontend render checks\n   261→\tBuild         Build                  // Latest information about the application\n   262→\tClusters      []string               // List of all cluster names\n   263→\tSubClusters   map[string][]string    // Map per cluster of all subClusters for use in the Header\n   264→\tFilterPresets map[string]any         // For pages with the Filter component, this can be used to set initial filters.\n   265→\tInfos         map[string]any         // For generic use (e.g. username for /monitoring/user/<id>, job id for /monitoring/job/<id>)\n   266→\tConfig        map[string]any         // UI settings for the currently logged in user (e.g. line width, ...)\n   267→\tResampling    *config.ResampleConfig // If not nil, defines resampling trigger and resolutions\n   268→\tRedirect      string                 // The originally requested URL, for intermediate login handling\n   269→}\n   270→\n   271→func RenderTemplate(rw http.ResponseWriter, file string, page *Page) {\n   272→\tt, ok := templates[file]\n   273→\tif !ok {\n   274→\t\tcclog.Errorf(\"WEB/WEB > template '%s' not found\", file)\n   275→\t}\n   276→\n   277→\tif page.Clusters == nil {\n   278→\t\tpage.Clusters = make([]string, 0)\n   279→\t}\n   280→\n   281→\tif page.SubClusters == nil {\n   282→\t\tpage.SubClusters = make(map[string][]string)\n   283→\t\tfor _, cluster := range archive.Clusters {\n   284→\t\t\tpage.Clusters = append(page.Clusters, cluster.Name)\n   285→\n   286→\t\t\tfor _, sc := range cluster.SubClusters {\n   287→\t\t\t\tpage.SubClusters[cluster.Name] = append(page.SubClusters[cluster.Name], sc.Name)\n   288→\t\t\t}\n   289→\t\t}\n   290→\t}\n   291→\n   292→\tcclog.Debugf(\"Page config : %v\\n\", page.Config)\n   293→\tif err := t.Execute(rw, page); err != nil {\n   294→\t\tcclog.Errorf(\"Template error: %s\", err.Error())\n   295→\t}\n   296→}\n   297→"}]},"uuid":"4d7924d2-5e2e-4636-99f1-2e10819ac029","timestamp":"2026-03-20T04:23:59.135Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/web/web.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package web implements the HTML templating and web frontend configuration\npackage web\n\nimport (\n\t\"embed\"\n\t\"encoding/json\"\n\t\"html/template\"\n\t\"io/fs\"\n\t\"net/http\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\ntype WebConfig struct {\n\tJobList           JobListConfig     `json:\"job-list\"`\n\tNodeList          NodeListConfig    `json:\"node-list\"`\n\tJobView           JobViewConfig     `json:\"job-view\"`\n\tMetricConfig      MetricConfig      `json:\"metric-config\"`\n\tPlotConfiguration PlotConfiguration `json:\"plot-configuration\"`\n}\n\ntype JobListConfig struct {\n\tUsePaging     bool `json:\"use-paging\"`\n\tShowFootprint bool `json:\"show-footprint\"`\n}\n\ntype NodeListConfig struct {\n\tUsePaging bool `json:\"use-paging\"`\n}\n\ntype JobViewConfig struct {\n\tShowPolarPlot bool `json:\"show-polar-plot\"`\n\tShowFootprint bool `json:\"show-footprint\"`\n\tShowRoofline  bool `json:\"show-roofline\"`\n\tShowStatTable bool `json:\"show-stat-table\"`\n}\n\ntype MetricConfig struct {\n\tJobListMetrics      []string        `json:\"job-list-metrics\"`\n\tJobViewPlotMetrics  []string        `json:\"job-view-plot-metrics\"`\n\tJobViewTableMetrics []string        `json:\"job-view-table-metrics\"`\n\tClusters            []ClusterConfig `json:\"clusters\"`\n}\n\ntype ClusterConfig struct {\n\tName                string             `json:\"name\"`\n\tJobListMetrics      []string           `json:\"job-list-metrics\"`\n\tJobViewPlotMetrics  []string           `json:\"job-view-plot-metrics\"`\n\tJobViewTableMetrics []string           `json:\"job-view-table-metrics\"`\n\tSubClusters         []SubClusterConfig `json:\"sub-clusters\"`\n}\n\ntype SubClusterConfig struct {\n\tName                string   `json:\"name\"`\n\tJobListMetrics      []string `json:\"job-list-metrics\"`\n\tJobViewPlotMetrics  []string `json:\"job-view-plot-metrics\"`\n\tJobViewTableMetrics []string `json:\"job-view-table-metrics\"`\n}\n\ntype PlotConfiguration struct {\n\tColorBackground bool     `json:\"color-background\"`\n\tPlotsPerRow     int      `json:\"plots-per-row\"`\n\tLineWidth       int      `json:\"line-width\"`\n\tColorScheme     []string `json:\"color-scheme\"`\n}\n\nvar UIDefaults = WebConfig{\n\tJobList: JobListConfig{\n\t\tUsePaging:     false,\n\t\tShowFootprint: false,\n\t},\n\tNodeList: NodeListConfig{\n\t\tUsePaging: false,\n\t},\n\tJobView: JobViewConfig{\n\t\tShowPolarPlot: true,\n\t\tShowFootprint: false,\n\t\tShowRoofline:  true,\n\t\tShowStatTable: true,\n\t},\n\tMetricConfig: MetricConfig{\n\t\tJobListMetrics:      []string{\"cpu_load\", \"flops_any\", \"mem_bw\", \"mem_used\"},\n\t\tJobViewPlotMetrics:  []string{\"cpu_load\", \"flops_any\", \"mem_bw\", \"mem_used\"},\n\t\tJobViewTableMetrics: []string{\"flops_any\", \"mem_bw\", \"mem_used\"},\n\t},\n\tPlotConfiguration: PlotConfiguration{\n\t\tColorBackground: true,\n\t\tPlotsPerRow:     3,\n\t\tLineWidth:       3,\n\t\tColorScheme:     []string{\"#00bfff\", \"#0000ff\", \"#ff00ff\", \"#ff0000\", \"#ff8000\", \"#ffff00\", \"#80ff00\"},\n\t},\n}\n\nvar UIDefaultsMap map[string]any\n\n//\n// \tmap[string]any{\n// \t\"analysis_view_histogramMetrics\":         []string{\"flops_any\", \"mem_bw\", \"mem_used\"},\n// \t\"analysis_view_scatterPlotMetrics\":       [][]string{{\"flops_any\", \"mem_bw\"}, {\"flops_any\", \"cpu_load\"}, {\"cpu_load\", \"mem_bw\"}},\n// \t\"job_view_nodestats_selectedMetrics\":     []string{\"flops_any\", \"mem_bw\", \"mem_used\"},\n// \t\"plot_list_jobsPerPage\":                  50,\n// \t\"analysis_view_selectedTopEntity\":        \"user\",\n// \t\"analysis_view_selectedTopCategory\":      \"totalWalltime\",\n// \t\"status_view_selectedTopUserCategory\":    \"totalJobs\",\n// \t\"status_view_selectedTopProjectCategory\": \"totalJobs\",\n// }\n\nfunc Init(rawConfig json.RawMessage) error {\n\tvar err error\n\n\tif rawConfig != nil {\n\t\tconfig.Validate(configSchema, rawConfig)\n\t\tif err = json.Unmarshal(rawConfig, &UIDefaults); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw config json\")\n\t\t\treturn err\n\t\t}\n\t}\n\n\tUIDefaultsMap = make(map[string]any)\n\n\tUIDefaultsMap[\"jobList_usePaging\"] = UIDefaults.JobList.UsePaging\n\tUIDefaultsMap[\"jobList_showFootprint\"] = UIDefaults.JobList.ShowFootprint\n\tUIDefaultsMap[\"nodeList_usePaging\"] = UIDefaults.NodeList.UsePaging\n\tUIDefaultsMap[\"jobView_showPolarPlot\"] = UIDefaults.JobView.ShowPolarPlot\n\tUIDefaultsMap[\"jobView_showFootprint\"] = UIDefaults.JobView.ShowFootprint\n\tUIDefaultsMap[\"jobView_showRoofline\"] = UIDefaults.JobView.ShowRoofline\n\tUIDefaultsMap[\"jobView_showStatTable\"] = UIDefaults.JobView.ShowStatTable\n\n\tUIDefaultsMap[\"metricConfig_jobListMetrics\"] = UIDefaults.MetricConfig.JobListMetrics\n\tUIDefaultsMap[\"metricConfig_jobViewPlotMetrics\"] = UIDefaults.MetricConfig.JobViewPlotMetrics\n\tUIDefaultsMap[\"metricConfig_jobViewTableMetrics\"] = UIDefaults.MetricConfig.JobViewTableMetrics\n\n\tUIDefaultsMap[\"plotConfiguration_colorBackground\"] = UIDefaults.PlotConfiguration.ColorBackground\n\tUIDefaultsMap[\"plotConfiguration_plotsPerRow\"] = UIDefaults.PlotConfiguration.PlotsPerRow\n\tUIDefaultsMap[\"plotConfiguration_lineWidth\"] = UIDefaults.PlotConfiguration.LineWidth\n\tUIDefaultsMap[\"plotConfiguration_colorScheme\"] = UIDefaults.PlotConfiguration.ColorScheme\n\n\tfor _, c := range UIDefaults.MetricConfig.Clusters {\n\t\tif c.JobListMetrics != nil {\n\t\t\tUIDefaultsMap[\"metricConfig_jobListMetrics:\"+c.Name] = c.JobListMetrics\n\t\t}\n\t\tif c.JobViewPlotMetrics != nil {\n\t\t\tUIDefaultsMap[\"metricConfig_jobViewPlotMetrics:\"+c.Name] = c.JobViewPlotMetrics\n\t\t}\n\t\tif c.JobViewTableMetrics != nil {\n\t\t\tUIDefaultsMap[\"metricConfig_jobViewTableMetrics:\"+c.Name] = c.JobViewTableMetrics\n\t\t}\n\n\t\tfor _, sc := range c.SubClusters {\n\t\t\tsuffix := strings.Join([]string{c.Name, sc.Name}, \":\")\n\t\t\tif sc.JobListMetrics != nil {\n\t\t\t\tUIDefaultsMap[\"metricConfig_jobListMetrics:\"+suffix] = sc.JobListMetrics\n\t\t\t}\n\t\t\tif sc.JobViewPlotMetrics != nil {\n\t\t\t\tUIDefaultsMap[\"metricConfig_jobViewPlotMetrics:\"+suffix] = sc.JobViewPlotMetrics\n\t\t\t}\n\t\t\tif sc.JobViewTableMetrics != nil {\n\t\t\t\tUIDefaultsMap[\"metricConfig_jobViewTableMetrics:\"+suffix] = sc.JobViewTableMetrics\n\t\t\t}\n\t\t}\n\t}\n\n\treturn err\n}\n\n// / Go's embed is only allowed to embed files in a subdirectory of the embedding package ([see here](https://github.com/golang/go/issues/46056)).\n//\n//go:embed frontend/public/*\nvar frontendFiles embed.FS\n\nfunc ServeFiles() http.Handler {\n\tpublicFiles, err := fs.Sub(frontendFiles, \"frontend/public\")\n\tif err != nil {\n\t\tcclog.Abortf(\"Serve Files: Could not find 'frontend/public' file directory.\\nError: %s\\n\", err.Error())\n\t}\n\treturn http.FileServer(http.FS(publicFiles))\n}\n\n// StaticFileExists checks whether a static file exists in the embedded frontend FS.\nfunc StaticFileExists(path string) bool {\n\tpath = strings.TrimPrefix(path, \"/\")\n\tif path == \"\" {\n\t\treturn false\n\t}\n\t_, err := fs.Stat(frontendFiles, \"frontend/public/\"+path)\n\treturn err == nil\n}\n\n//go:embed templates/*\nvar templateFiles embed.FS\n\nvar templates map[string]*template.Template = map[string]*template.Template{}\n\nfunc init() {\n\tbase := template.Must(template.ParseFS(templateFiles, \"templates/base.tmpl\"))\n\tif err := fs.WalkDir(templateFiles, \"templates\", func(path string, d fs.DirEntry, err error) error {\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif d.IsDir() || path == \"templates/base.tmpl\" {\n\t\t\treturn nil\n\t\t}\n\n\t\tif path == \"templates/404.tmpl\" {\n\t\t\ttemplates[strings.TrimPrefix(path, \"templates/\")] = template.Must(template.ParseFS(templateFiles, path))\n\t\t\treturn nil\n\t\t}\n\t\tif path == \"templates/login.tmpl\" {\n\t\t\tif util.CheckFileExists(\"./var/login.tmpl\") {\n\t\t\t\tcclog.Info(\"overwrite login.tmpl with local file\")\n\t\t\t\ttemplates[strings.TrimPrefix(path, \"templates/\")] = template.Must(template.Must(base.Clone()).ParseFiles(\"./var/login.tmpl\"))\n\t\t\t\treturn nil\n\t\t\t}\n\t\t}\n\t\tif path == \"templates/imprint.tmpl\" {\n\t\t\tif util.CheckFileExists(\"./var/imprint.tmpl\") {\n\t\t\t\tcclog.Info(\"overwrite imprint.tmpl with local file\")\n\t\t\t\ttemplates[strings.TrimPrefix(path, \"templates/\")] = template.Must(template.Must(base.Clone()).ParseFiles(\"./var/imprint.tmpl\"))\n\t\t\t\treturn nil\n\t\t\t}\n\t\t}\n\t\tif path == \"templates/privacy.tmpl\" {\n\t\t\tif util.CheckFileExists(\"./var/privacy.tmpl\") {\n\t\t\t\tcclog.Info(\"overwrite privacy.tmpl with local file\")\n\t\t\t\ttemplates[strings.TrimPrefix(path, \"templates/\")] = template.Must(template.Must(base.Clone()).ParseFiles(\"./var/privacy.tmpl\"))\n\t\t\t\treturn nil\n\t\t\t}\n\t\t}\n\n\t\ttemplates[strings.TrimPrefix(path, \"templates/\")] = template.Must(template.Must(base.Clone()).ParseFS(templateFiles, path))\n\t\treturn nil\n\t}); err != nil {\n\t\tcclog.Abortf(\"Web init(): Could not find frontend template files.\\nError: %s\\n\", err.Error())\n\t}\n\n\t_ = base\n}\n\ntype Build struct {\n\tVersion   string\n\tHash      string\n\tBuildtime string\n}\n\ntype Page struct {\n\tTitle         string                 // Page title\n\tMsgType       string                 // For generic use in message boxes\n\tMessage       string                 // For generic use in message boxes\n\tUser          schema.User            // Information about the currently logged in user (Full User Info)\n\tRoles         map[string]schema.Role // Available roles for frontend render checks\n\tBuild         Build                  // Latest information about the application\n\tClusters      []string               // List of all cluster names\n\tSubClusters   map[string][]string    // Map per cluster of all subClusters for use in the Header\n\tFilterPresets map[string]any         // For pages with the Filter component, this can be used to set initial filters.\n\tInfos         map[string]any         // For generic use (e.g. username for /monitoring/user/<id>, job id for /monitoring/job/<id>)\n\tConfig        map[string]any         // UI settings for the currently logged in user (e.g. line width, ...)\n\tResampling    *config.ResampleConfig // If not nil, defines resampling trigger and resolutions\n\tRedirect      string                 // The originally requested URL, for intermediate login handling\n}\n\nfunc RenderTemplate(rw http.ResponseWriter, file string, page *Page) {\n\tt, ok := templates[file]\n\tif !ok {\n\t\tcclog.Errorf(\"WEB/WEB > template '%s' not found\", file)\n\t}\n\n\tif page.Clusters == nil {\n\t\tpage.Clusters = make([]string, 0)\n\t}\n\n\tif page.SubClusters == nil {\n\t\tpage.SubClusters = make(map[string][]string)\n\t\tfor _, cluster := range archive.Clusters {\n\t\t\tpage.Clusters = append(page.Clusters, cluster.Name)\n\n\t\t\tfor _, sc := range cluster.SubClusters {\n\t\t\t\tpage.SubClusters[cluster.Name] = append(page.SubClusters[cluster.Name], sc.Name)\n\t\t\t}\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Page config : %v\\n\", page.Config)\n\tif err := t.Execute(rw, page); err != nil {\n\t\tcclog.Errorf(\"Template error: %s\", err.Error())\n\t}\n}\n","numLines":297,"startLine":1,"totalLines":297}},"sourceToolAssistantUUID":"ae85afd1-8e9e-48f6-989f-cb93fe840e83","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"4d7924d2-5e2e-4636-99f1-2e10819ac029","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01R9X1KgwBz2HiytmyTdHak9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QWjoMf5i9KhsrNhwqwEBAX","name":"Read","input":{"file_path":"/Users/jan/tmp/cc-backend/internal/graph/schema.resolvers.go","offset":490,"limit":80},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":6087,"cache_read_input_tokens":14623,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":6087},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDhGnJiEFmHQkHA3tjBb","type":"assistant","uuid":"cc117117-32f6-49ce-b04a-de6a9950ee1b","timestamp":"2026-03-20T04:23:59.296Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"cc117117-32f6-49ce-b04a-de6a9950ee1b","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01QWjoMf5i9KhsrNhwqwEBAX","toolUseID":"toolu_01QWjoMf5i9KhsrNhwqwEBAX","timestamp":"2026-03-20T04:23:59.315Z","uuid":"a1dd15f9-9d73-43a2-bec1-352dba5ca4ff","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"cc117117-32f6-49ce-b04a-de6a9950ee1b","isSidechain":false,"promptId":"0763b03c-10c2-419e-8e69-b6ee9bffed71","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QWjoMf5i9KhsrNhwqwEBAX","type":"tool_result","content":"   490→\n   491→\tif user := repository.GetUserFromContext(ctx); user != nil &&\n   492→\t\tjob.User != user.Username &&\n   493→\t\tuser.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n   494→\t\treturn nil, errors.New(\"you are not allowed to see this job\")\n   495→\t}\n   496→\n   497→\treturn job, nil\n   498→}\n   499→\n   500→// JobMetrics is the resolver for the jobMetrics field.\n   501→func (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int, resampleAlgo *model.ResampleAlgo) ([]*model.JobMetricWithName, error) {\n   502→\tif resolution == nil { // Load from Config\n   503→\t\tif config.Keys.EnableResampling != nil {\n   504→\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n   505→\t\t\tresolution = &defaultRes\n   506→\t\t} else { // Set 0 (Loads configured metric timestep)\n   507→\t\t\tdefaultRes := 0\n   508→\t\t\tresolution = &defaultRes\n   509→\t\t}\n   510→\t}\n   511→\n   512→\tjob, err := r.Query().Job(ctx, id)\n   513→\tif err != nil {\n   514→\t\tcclog.Warn(\"Error while querying job for metrics\")\n   515→\t\treturn nil, err\n   516→\t}\n   517→\n   518→\talgoName := \"\"\n   519→\tif resampleAlgo != nil {\n   520→\t\talgoName = strings.ToLower(resampleAlgo.String())\n   521→\t}\n   522→\n   523→\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution, algoName)\n   524→\tif err != nil {\n   525→\t\tcclog.Warn(\"Error while loading job data\")\n   526→\t\treturn nil, err\n   527→\t}\n   528→\n   529→\tres := []*model.JobMetricWithName{}\n   530→\tfor name, md := range data {\n   531→\t\tfor scope, metric := range md {\n   532→\t\t\tres = append(res, &model.JobMetricWithName{\n   533→\t\t\t\tName:   name,\n   534→\t\t\t\tScope:  scope,\n   535→\t\t\t\tMetric: metric,\n   536→\t\t\t})\n   537→\t\t}\n   538→\t}\n   539→\n   540→\treturn res, err\n   541→}\n   542→\n   543→// JobStats is the resolver for the jobStats field.\n   544→func (r *queryResolver) JobStats(ctx context.Context, id string, metrics []string) ([]*model.NamedStats, error) {\n   545→\tjob, err := r.Query().Job(ctx, id)\n   546→\tif err != nil {\n   547→\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n   548→\t\treturn nil, err\n   549→\t}\n   550→\n   551→\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n   552→\tif err != nil {\n   553→\t\tcclog.Warnf(\"Error while loading jobStats data for job id %s\", id)\n   554→\t\treturn nil, err\n   555→\t}\n   556→\n   557→\tres := []*model.NamedStats{}\n   558→\tfor name, md := range data {\n   559→\t\tres = append(res, &model.NamedStats{\n   560→\t\t\tName: name,\n   561→\t\t\tData: &md,\n   562→\t\t})\n   563→\t}\n   564→\n   565→\treturn res, err\n   566→}\n   567→\n   568→// ScopedJobStats is the resolver for the scopedJobStats field.\n   569→func (r *queryResolver) ScopedJobStats(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope) ([]*model.NamedStatsWithScope, error) {"}]},"uuid":"97082a76-81af-48b0-a0ae-21e9adf570d3","timestamp":"2026-03-20T04:23:59.314Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/internal/graph/schema.resolvers.go","content":"\n\tif user := repository.GetUserFromContext(ctx); user != nil &&\n\t\tjob.User != user.Username &&\n\t\tuser.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"you are not allowed to see this job\")\n\t}\n\n\treturn job, nil\n}\n\n// JobMetrics is the resolver for the jobMetrics field.\nfunc (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int, resampleAlgo *model.ResampleAlgo) ([]*model.JobMetricWithName, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying job for metrics\")\n\t\treturn nil, err\n\t}\n\n\talgoName := \"\"\n\tif resampleAlgo != nil {\n\t\talgoName = strings.ToLower(resampleAlgo.String())\n\t}\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution, algoName)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobMetricWithName{}\n\tfor name, md := range data {\n\t\tfor scope, metric := range md {\n\t\t\tres = append(res, &model.JobMetricWithName{\n\t\t\t\tName:   name,\n\t\t\t\tScope:  scope,\n\t\t\t\tMetric: metric,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, err\n}\n\n// JobStats is the resolver for the jobStats field.\nfunc (r *queryResolver) JobStats(ctx context.Context, id string, metrics []string) ([]*model.NamedStats, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading jobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := []*model.NamedStats{}\n\tfor name, md := range data {\n\t\tres = append(res, &model.NamedStats{\n\t\t\tName: name,\n\t\t\tData: &md,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// ScopedJobStats is the resolver for the scopedJobStats field.\nfunc (r *queryResolver) ScopedJobStats(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope) ([]*model.NamedStatsWithScope, error) {","numLines":80,"startLine":490,"totalLines":1087}},"sourceToolAssistantUUID":"cc117117-32f6-49ce-b04a-de6a9950ee1b","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"97082a76-81af-48b0-a0ae-21e9adf570d3","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01R9X1KgwBz2HiytmyTdHak9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MThBqGacWG5dwdPUSUS7HU","name":"Glob","input":{"pattern":"internal/metricdispatch/*.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":6087,"cache_read_input_tokens":14623,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":6087},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDhGnJiEFmHQkHA3tjBb","type":"assistant","uuid":"345f3ff4-8998-453d-875c-38cb51d199f0","timestamp":"2026-03-20T04:23:59.361Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
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+{"parentUuid":"38f5bac5-7761-40e4-a592-c8956d177c5c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01R9X1KgwBz2HiytmyTdHak9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017HexAqPNebJTr13ikQcvxH","name":"Read","input":{"file_path":"/Users/jan/tmp/cc-backend/web/frontend/src/config/user/PlotRenderOptions.svelte"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":6087,"cache_read_input_tokens":14623,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":6087},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDhGnJiEFmHQkHA3tjBb","type":"assistant","uuid":"812a21f5-11e6-4258-8c00-28161c0537dc","timestamp":"2026-03-20T04:23:59.810Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"812a21f5-11e6-4258-8c00-28161c0537dc","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_017HexAqPNebJTr13ikQcvxH","toolUseID":"toolu_017HexAqPNebJTr13ikQcvxH","timestamp":"2026-03-20T04:23:59.831Z","uuid":"e432fee7-86b5-4747-a0f5-f6347e25a448","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"812a21f5-11e6-4258-8c00-28161c0537dc","isSidechain":false,"promptId":"0763b03c-10c2-419e-8e69-b6ee9bffed71","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017HexAqPNebJTr13ikQcvxH","type":"tool_result","content":"     1→<!--\n     2→  @component Plot render option selection for users\n     3→\n     4→  Properties:\n     5→  - `config Object`: Current cc-config\n     6→  - `message Object`: Message to display on success or error [Bindable]\n     7→  - `displayMessage Bool`: If to display message content [Bindable]\n     8→  - `updateSetting Func`: The callback function to apply current option selection\n     9→-->\n    10→\n    11→<script>\n    12→  import {\n    13→    Button,\n    14→    Row,\n    15→    Col,\n    16→    Card,\n    17→    CardTitle,\n    18→  } from \"@sveltestrap/sveltestrap\";\n    19→  import { fade } from \"svelte/transition\";\n    20→\n    21→  /* Svelte 5 Props */\n    22→  let {\n    23→    config,\n    24→    message = $bindable(),\n    25→    displayMessage = $bindable(),\n    26→    updateSetting\n    27→  } = $props();\n    28→</script>\n    29→\n    30→<Row cols={3} class=\"p-2 g-2\">\n    31→  <!-- LINE WIDTH -->\n    32→  <Col>\n    33→    <Card class=\"h-100\">\n    34→      <form\n    35→        id=\"line-width-form\"\n    36→        method=\"post\"\n    37→        action=\"/frontend/configuration/\"\n    38→        class=\"card-body\"\n    39→        onsubmit={(e) => updateSetting(e, {\n    40→          selector: \"#line-width-form\",\n    41→          target: \"lw\",\n    42→        })}\n    43→      >\n    44→        <!-- Svelte 'class' directive only on DOMs directly, normal 'class=\"xxx\"' does not work, so style-array it is. -->\n    45→        <CardTitle\n    46→          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n    47→        >\n    48→          <div>Line Width</div>\n    49→          <!-- Expand If-Clause for clarity once -->\n    50→          {#if displayMessage && message.target == \"lw\"}\n    51→            <div style=\"margin-left: auto; font-size: 0.9em;\">\n    52→              <code style=\"color: {message.color};\" out:fade>\n    53→                Update: {message.msg}\n    54→              </code>\n    55→            </div>\n    56→          {/if}\n    57→        </CardTitle>\n    58→        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_lineWidth\" />\n    59→        <div class=\"mb-3\">\n    60→          <label for=\"value\" class=\"form-label\">Line Width</label>\n    61→          <input\n    62→            type=\"number\"\n    63→            class=\"form-control\"\n    64→            id=\"lwvalue\"\n    65→            name=\"value\"\n    66→            aria-describedby=\"lineWidthHelp\"\n    67→            value={config.plotConfiguration_lineWidth}\n    68→            min=\"1\"\n    69→          />\n    70→          <div id=\"lineWidthHelp\" class=\"form-text\">\n    71→            Width of the lines in the timeseries plots.\n    72→          </div>\n    73→        </div>\n    74→        <Button color=\"primary\" type=\"submit\">Submit</Button>\n    75→      </form>\n    76→    </Card>\n    77→  </Col>\n    78→\n    79→  <!-- PLOTS PER ROW -->\n    80→  <Col>\n    81→    <Card class=\"h-100\">\n    82→      <form\n    83→        id=\"plots-per-row-form\"\n    84→        method=\"post\"\n    85→        action=\"/frontend/configuration/\"\n    86→        class=\"card-body\"\n    87→        onsubmit={(e) => updateSetting(e, {\n    88→          selector: \"#plots-per-row-form\",\n    89→          target: \"ppr\",\n    90→        })}\n    91→      >\n    92→        <!-- Svelte 'class' directive only on DOMs directly, normal 'class=\"xxx\"' does not work, so style-array it is. -->\n    93→        <CardTitle\n    94→          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n    95→        >\n    96→          <div>Plots per Row</div>\n    97→          {#if displayMessage && message.target == \"ppr\"}\n    98→            <div style=\"margin-left: auto; font-size: 0.9em;\">\n    99→              <code style=\"color: {message.color};\" out:fade>\n   100→                Update: {message.msg}\n   101→              </code>\n   102→            </div>\n   103→          {/if}\n   104→        </CardTitle>\n   105→        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_plotsPerRow\" />\n   106→        <div class=\"mb-3\">\n   107→          <label for=\"value\" class=\"form-label\">Plots per Row</label>\n   108→          <input\n   109→            type=\"number\"\n   110→            class=\"form-control\"\n   111→            id=\"pprvalue\"\n   112→            name=\"value\"\n   113→            aria-describedby=\"plotsperrowHelp\"\n   114→            value={config.plotConfiguration_plotsPerRow}\n   115→            min=\"1\"\n   116→          />\n   117→          <div id=\"plotsperrowHelp\" class=\"form-text\">\n   118→            How many plots to show next to each other on pages such as\n   119→            /monitoring/job/, /monitoring/system/...\n   120→          </div>\n   121→        </div>\n   122→        <Button color=\"primary\" type=\"submit\">Submit</Button>\n   123→      </form>\n   124→    </Card>\n   125→  </Col>\n   126→\n   127→  <!-- BACKGROUND -->\n   128→  <Col class=\"d-flex justify-content-between\">\n   129→    <Card class=\"h-100\" style=\"width: 49%;\">\n   130→      <form\n   131→        id=\"backgrounds-form\"\n   132→        method=\"post\"\n   133→        action=\"/frontend/configuration/\"\n   134→        class=\"card-body\"\n   135→        onsubmit={(e) => updateSetting(e, {\n   136→          selector: \"#backgrounds-form\",\n   137→          target: \"bg\",\n   138→        })}\n   139→      >\n   140→        <!-- Svelte 'class' directive only on DOMs directly, normal 'class=\"xxx\"' does not work, so style-array it is. -->\n   141→        <CardTitle\n   142→          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n   143→        >\n   144→          <div>Colored Backgrounds</div>\n   145→          {#if displayMessage && message.target == \"bg\"}\n   146→            <div style=\"margin-left: auto; font-size: 0.9em;\">\n   147→              <code style=\"color: {message.color};\" out:fade>\n   148→                Update: {message.msg}\n   149→              </code>\n   150→            </div>\n   151→          {/if}\n   152→        </CardTitle>\n   153→        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_colorBackground\" />\n   154→        <div class=\"mb-3\">\n   155→          <div>\n   156→            {#if config.plotConfiguration_colorBackground}\n   157→              <input type=\"radio\" id=\"colb-true-checked\" name=\"value\" value=\"true\" checked />\n   158→            {:else}\n   159→              <input type=\"radio\" id=\"colb-true\" name=\"value\" value=\"true\" />\n   160→            {/if}\n   161→            <label for=\"true\">Yes</label>\n   162→          </div>\n   163→          <div>\n   164→            {#if config.plotConfiguration_colorBackground}\n   165→              <input type=\"radio\" id=\"colb-false\" name=\"value\" value=\"false\" />\n   166→            {:else}\n   167→              <input type=\"radio\" id=\"colb-false-checked\" name=\"value\" value=\"false\" checked />\n   168→            {/if}\n   169→            <label for=\"false\">No</label>\n   170→          </div>\n   171→        </div>\n   172→        <Button color=\"primary\" type=\"submit\">Submit</Button>\n   173→      </form>\n   174→    </Card>\n   175→    <Card class=\"h-100\" style=\"width: 49%;\">\n   176→      <form\n   177→        id=\"colorblindmode-form\"\n   178→        method=\"post\"\n   179→        action=\"/frontend/configuration/\"\n   180→        class=\"card-body\"\n   181→        onsubmit={(e) => updateSetting(e, {\n   182→          selector: \"#colorblindmode-form\",\n   183→          target: \"cbm\",\n   184→        })}\n   185→      >\n   186→        <!-- Svelte 'class' directive only on DOMs directly, normal 'class=\"xxx\"' does not work, so style-array it is. -->\n   187→        <CardTitle\n   188→          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n   189→        >\n   190→          <div>Color Blind Mode</div>\n   191→          {#if displayMessage && message.target == \"cbm\"}\n   192→            <div style=\"margin-left: auto; font-size: 0.9em;\">\n   193→              <code style=\"color: {message.color};\" out:fade>\n   194→                Update: {message.msg}\n   195→              </code>\n   196→            </div>\n   197→          {/if}\n   198→        </CardTitle>\n   199→        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_colorblindMode\" />\n   200→        <div class=\"mb-3\">\n   201→          <div>\n   202→            {#if config?.plotConfiguration_colorblindMode}\n   203→              <input type=\"radio\" id=\"cbm-true-checked\" name=\"value\" value=\"true\" checked />\n   204→            {:else}\n   205→              <input type=\"radio\" id=\"cbm-true\" name=\"value\" value=\"true\" />\n   206→            {/if}\n   207→            <label for=\"true\">Yes</label>\n   208→          </div>\n   209→          <div>\n   210→            {#if config?.plotConfiguration_colorblindMode}\n   211→              <input type=\"radio\" id=\"cbm-false\" name=\"value\" value=\"false\" />\n   212→            {:else}\n   213→              <input type=\"radio\" id=\"cbm-false-checked\" name=\"value\" value=\"false\" checked />\n   214→            {/if}\n   215→            <label for=\"false\">No</label>\n   216→          </div>\n   217→        </div>\n   218→        <Button color=\"primary\" type=\"submit\">Submit</Button>\n   219→      </form>\n   220→    </Card>\n   221→  </Col>\n   222→</Row>"}]},"uuid":"e9dcd3fe-669e-4cc7-b730-f7160882ca64","timestamp":"2026-03-20T04:23:59.830Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/web/frontend/src/config/user/PlotRenderOptions.svelte","content":"<!--\n  @component Plot render option selection for users\n\n  Properties:\n  - `config Object`: Current cc-config\n  - `message Object`: Message to display on success or error [Bindable]\n  - `displayMessage Bool`: If to display message content [Bindable]\n  - `updateSetting Func`: The callback function to apply current option selection\n-->\n\n<script>\n  import {\n    Button,\n    Row,\n    Col,\n    Card,\n    CardTitle,\n  } from \"@sveltestrap/sveltestrap\";\n  import { fade } from \"svelte/transition\";\n\n  /* Svelte 5 Props */\n  let {\n    config,\n    message = $bindable(),\n    displayMessage = $bindable(),\n    updateSetting\n  } = $props();\n</script>\n\n<Row cols={3} class=\"p-2 g-2\">\n  <!-- LINE WIDTH -->\n  <Col>\n    <Card class=\"h-100\">\n      <form\n        id=\"line-width-form\"\n        method=\"post\"\n        action=\"/frontend/configuration/\"\n        class=\"card-body\"\n        onsubmit={(e) => updateSetting(e, {\n          selector: \"#line-width-form\",\n          target: \"lw\",\n        })}\n      >\n        <!-- Svelte 'class' directive only on DOMs directly, normal 'class=\"xxx\"' does not work, so style-array it is. -->\n        <CardTitle\n          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n        >\n          <div>Line Width</div>\n          <!-- Expand If-Clause for clarity once -->\n          {#if displayMessage && message.target == \"lw\"}\n            <div style=\"margin-left: auto; font-size: 0.9em;\">\n              <code style=\"color: {message.color};\" out:fade>\n                Update: {message.msg}\n              </code>\n            </div>\n          {/if}\n        </CardTitle>\n        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_lineWidth\" />\n        <div class=\"mb-3\">\n          <label for=\"value\" class=\"form-label\">Line Width</label>\n          <input\n            type=\"number\"\n            class=\"form-control\"\n            id=\"lwvalue\"\n            name=\"value\"\n            aria-describedby=\"lineWidthHelp\"\n            value={config.plotConfiguration_lineWidth}\n            min=\"1\"\n          />\n          <div id=\"lineWidthHelp\" class=\"form-text\">\n            Width of the lines in the timeseries plots.\n          </div>\n        </div>\n        <Button color=\"primary\" type=\"submit\">Submit</Button>\n      </form>\n    </Card>\n  </Col>\n\n  <!-- PLOTS PER ROW -->\n  <Col>\n    <Card class=\"h-100\">\n      <form\n        id=\"plots-per-row-form\"\n        method=\"post\"\n        action=\"/frontend/configuration/\"\n        class=\"card-body\"\n        onsubmit={(e) => updateSetting(e, {\n          selector: \"#plots-per-row-form\",\n          target: \"ppr\",\n        })}\n      >\n        <!-- Svelte 'class' directive only on DOMs directly, normal 'class=\"xxx\"' does not work, so style-array it is. -->\n        <CardTitle\n          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n        >\n          <div>Plots per Row</div>\n          {#if displayMessage && message.target == \"ppr\"}\n            <div style=\"margin-left: auto; font-size: 0.9em;\">\n              <code style=\"color: {message.color};\" out:fade>\n                Update: {message.msg}\n              </code>\n            </div>\n          {/if}\n        </CardTitle>\n        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_plotsPerRow\" />\n        <div class=\"mb-3\">\n          <label for=\"value\" class=\"form-label\">Plots per Row</label>\n          <input\n            type=\"number\"\n            class=\"form-control\"\n            id=\"pprvalue\"\n            name=\"value\"\n            aria-describedby=\"plotsperrowHelp\"\n            value={config.plotConfiguration_plotsPerRow}\n            min=\"1\"\n          />\n          <div id=\"plotsperrowHelp\" class=\"form-text\">\n            How many plots to show next to each other on pages such as\n            /monitoring/job/, /monitoring/system/...\n          </div>\n        </div>\n        <Button color=\"primary\" type=\"submit\">Submit</Button>\n      </form>\n    </Card>\n  </Col>\n\n  <!-- BACKGROUND -->\n  <Col class=\"d-flex justify-content-between\">\n    <Card class=\"h-100\" style=\"width: 49%;\">\n      <form\n        id=\"backgrounds-form\"\n        method=\"post\"\n        action=\"/frontend/configuration/\"\n        class=\"card-body\"\n        onsubmit={(e) => updateSetting(e, {\n          selector: \"#backgrounds-form\",\n          target: \"bg\",\n        })}\n      >\n        <!-- Svelte 'class' directive only on DOMs directly, normal 'class=\"xxx\"' does not work, so style-array it is. -->\n        <CardTitle\n          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n        >\n          <div>Colored Backgrounds</div>\n          {#if displayMessage && message.target == \"bg\"}\n            <div style=\"margin-left: auto; font-size: 0.9em;\">\n              <code style=\"color: {message.color};\" out:fade>\n                Update: {message.msg}\n              </code>\n            </div>\n          {/if}\n        </CardTitle>\n        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_colorBackground\" />\n        <div class=\"mb-3\">\n          <div>\n            {#if config.plotConfiguration_colorBackground}\n              <input type=\"radio\" id=\"colb-true-checked\" name=\"value\" value=\"true\" checked />\n            {:else}\n              <input type=\"radio\" id=\"colb-true\" name=\"value\" value=\"true\" />\n            {/if}\n            <label for=\"true\">Yes</label>\n          </div>\n          <div>\n            {#if config.plotConfiguration_colorBackground}\n              <input type=\"radio\" id=\"colb-false\" name=\"value\" value=\"false\" />\n            {:else}\n              <input type=\"radio\" id=\"colb-false-checked\" name=\"value\" value=\"false\" checked />\n            {/if}\n            <label for=\"false\">No</label>\n          </div>\n        </div>\n        <Button color=\"primary\" type=\"submit\">Submit</Button>\n      </form>\n    </Card>\n    <Card class=\"h-100\" style=\"width: 49%;\">\n      <form\n        id=\"colorblindmode-form\"\n        method=\"post\"\n        action=\"/frontend/configuration/\"\n        class=\"card-body\"\n        onsubmit={(e) => updateSetting(e, {\n          selector: \"#colorblindmode-form\",\n          target: \"cbm\",\n        })}\n      >\n        <!-- Svelte 'class' directive only on DOMs directly, normal 'class=\"xxx\"' does not work, so style-array it is. -->\n        <CardTitle\n          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n        >\n          <div>Color Blind Mode</div>\n          {#if displayMessage && message.target == \"cbm\"}\n            <div style=\"margin-left: auto; font-size: 0.9em;\">\n              <code style=\"color: {message.color};\" out:fade>\n                Update: {message.msg}\n              </code>\n            </div>\n          {/if}\n        </CardTitle>\n        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_colorblindMode\" />\n        <div class=\"mb-3\">\n          <div>\n            {#if config?.plotConfiguration_colorblindMode}\n              <input type=\"radio\" id=\"cbm-true-checked\" name=\"value\" value=\"true\" checked />\n            {:else}\n              <input type=\"radio\" id=\"cbm-true\" name=\"value\" value=\"true\" />\n            {/if}\n            <label for=\"true\">Yes</label>\n          </div>\n          <div>\n            {#if config?.plotConfiguration_colorblindMode}\n              <input type=\"radio\" id=\"cbm-false\" name=\"value\" value=\"false\" />\n            {:else}\n              <input type=\"radio\" id=\"cbm-false-checked\" name=\"value\" value=\"false\" checked />\n            {/if}\n            <label for=\"false\">No</label>\n          </div>\n        </div>\n        <Button color=\"primary\" type=\"submit\">Submit</Button>\n      </form>\n    </Card>\n  </Col>\n</Row>","numLines":222,"startLine":1,"totalLines":222}},"sourceToolAssistantUUID":"812a21f5-11e6-4258-8c00-28161c0537dc","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
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+{"parentUuid":"fd741bf3-8d71-42ef-9f1b-cdd6361f20e9","isSidechain":false,"promptId":"0763b03c-10c2-419e-8e69-b6ee9bffed71","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019rXKCNs4psgqzRdGc8HaXJ","type":"tool_result","content":"     1→<!--\n     2→  @component User settings wrapper\n     3→\n     4→  Properties:\n     5→  - `username String!`: Empty string if auth. is disabled, otherwise the username as string\n     6→  - `isApi Bool!`: Is currently logged in user api authority\n     7→-->\n     8→\n     9→<script>\n    10→  import { getContext } from \"svelte\";\n    11→  import UserOptions from \"./user/UserOptions.svelte\";\n    12→  import PlotRenderOptions from \"./user/PlotRenderOptions.svelte\";\n    13→  import PlotColorScheme from \"./user/PlotColorScheme.svelte\";\n    14→\n    15→  /* Svelte 5 Props */\n    16→  let {\n    17→    username,\n    18→    isApi\n    19→  } = $props();\n    20→\n    21→  /* Const Init */\n    22→  const ccconfig = getContext(\"cc-config\");\n    23→  \n    24→  /* State Init */\n    25→  let message = $state({ msg: \"\", target: \"\", color: \"#d63384\" });\n    26→  let displayMessage = $state(false);\n    27→  let cbmode = $state(ccconfig?.plotConfiguration_colorblindMode || false);\n    28→\n    29→  /* Functions */\n    30→  async function handleSettingSubmit(event, setting) {\n    31→    event.preventDefault();\n    32→\n    33→    const selector = setting.selector\n    34→    const target = setting.target\n    35→    let form = document.querySelector(selector);\n    36→    let formData = new FormData(form);\n    37→    try {\n    38→      const res = await fetch(form.action, { method: \"POST\", body: formData });\n    39→      if (res.ok) {\n    40→        let text = await res.text();\n    41→        if (formData.get(\"key\") === \"plotConfiguration_colorblindMode\") {\n    42→          cbmode = JSON.parse(formData.get(\"value\"));\n    43→        }\n    44→        popMessage(text, target, \"#048109\");\n    45→      } else {\n    46→        let text = await res.text();\n    47→        throw new Error(\"Response Code \" + res.status + \"-> \" + text);\n    48→      }\n    49→    } catch (err) {\n    50→      popMessage(err, target, \"#d63384\");\n    51→    }\n    52→\n    53→    return false;\n    54→  }\n    55→\n    56→  function popMessage(response, restarget, rescolor) {\n    57→    message = { msg: response, target: restarget, color: rescolor };\n    58→    displayMessage = true;\n    59→    setTimeout(function () {\n    60→      displayMessage = false;\n    61→    }, 3500);\n    62→  }\n    63→</script>\n    64→\n    65→<UserOptions config={ccconfig} {username} {isApi} bind:message bind:displayMessage updateSetting={(e, newSetting) => handleSettingSubmit(e, newSetting)}/>\n    66→<PlotRenderOptions config={ccconfig} bind:message bind:displayMessage updateSetting={(e, newSetting) => handleSettingSubmit(e, newSetting)}/>\n    67→<PlotColorScheme config={ccconfig} bind:cbmode bind:message bind:displayMessage updateSetting={(e, newSetting) => handleSettingSubmit(e, newSetting)}/>\n    68→"}]},"uuid":"2fb2a6b1-d8a1-49d0-9777-73e6921c588d","timestamp":"2026-03-20T04:24:00.041Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/web/frontend/src/config/UserSettings.svelte","content":"<!--\n  @component User settings wrapper\n\n  Properties:\n  - `username String!`: Empty string if auth. is disabled, otherwise the username as string\n  - `isApi Bool!`: Is currently logged in user api authority\n-->\n\n<script>\n  import { getContext } from \"svelte\";\n  import UserOptions from \"./user/UserOptions.svelte\";\n  import PlotRenderOptions from \"./user/PlotRenderOptions.svelte\";\n  import PlotColorScheme from \"./user/PlotColorScheme.svelte\";\n\n  /* Svelte 5 Props */\n  let {\n    username,\n    isApi\n  } = $props();\n\n  /* Const Init */\n  const ccconfig = getContext(\"cc-config\");\n  \n  /* State Init */\n  let message = $state({ msg: \"\", target: \"\", color: \"#d63384\" });\n  let displayMessage = $state(false);\n  let cbmode = $state(ccconfig?.plotConfiguration_colorblindMode || false);\n\n  /* Functions */\n  async function handleSettingSubmit(event, setting) {\n    event.preventDefault();\n\n    const selector = setting.selector\n    const target = setting.target\n    let form = document.querySelector(selector);\n    let formData = new FormData(form);\n    try {\n      const res = await fetch(form.action, { method: \"POST\", body: formData });\n      if (res.ok) {\n        let text = await res.text();\n        if (formData.get(\"key\") === \"plotConfiguration_colorblindMode\") {\n          cbmode = JSON.parse(formData.get(\"value\"));\n        }\n        popMessage(text, target, \"#048109\");\n      } else {\n        let text = await res.text();\n        throw new Error(\"Response Code \" + res.status + \"-> \" + text);\n      }\n    } catch (err) {\n      popMessage(err, target, \"#d63384\");\n    }\n\n    return false;\n  }\n\n  function popMessage(response, restarget, rescolor) {\n    message = { msg: response, target: restarget, color: rescolor };\n    displayMessage = true;\n    setTimeout(function () {\n      displayMessage = false;\n    }, 3500);\n  }\n</script>\n\n<UserOptions config={ccconfig} {username} {isApi} bind:message bind:displayMessage updateSetting={(e, newSetting) => handleSettingSubmit(e, newSetting)}/>\n<PlotRenderOptions config={ccconfig} bind:message bind:displayMessage updateSetting={(e, newSetting) => handleSettingSubmit(e, newSetting)}/>\n<PlotColorScheme config={ccconfig} bind:cbmode bind:message bind:displayMessage updateSetting={(e, newSetting) => handleSettingSubmit(e, newSetting)}/>\n","numLines":68,"startLine":1,"totalLines":68}},"sourceToolAssistantUUID":"fd741bf3-8d71-42ef-9f1b-cdd6361f20e9","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
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+{"parentUuid":"618ffcdb-8900-4abf-beb9-3d107f886905","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01QfwTd5s6LFUFFSz5HFQgug","type":"message","role":"assistant","content":[{"type":"text","text":"Let me read more context files in parallel."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":10421,"cache_read_input_tokens":20710,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":10421},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDhHDN6Ltid3MuXNArJy","type":"assistant","uuid":"38a2cda7-9d47-4bbd-89b7-084c0b597f1d","timestamp":"2026-03-20T04:24:04.639Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
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+{"parentUuid":"9a91a6a0-9d23-4834-b1eb-6b022c5ec21d","isSidechain":false,"promptId":"0763b03c-10c2-419e-8e69-b6ee9bffed71","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GAvdQk2S4Yi7AgbrvnPS9q","type":"tool_result","content":"   870→\t\t\t}\n   871→\t\t}\n   872→\n   873→\t\tnodeMetrics = append(nodeMetrics, host)\n   874→\t}\n   875→\n   876→\treturn nodeMetrics, nil\n   877→}\n   878→\n   879→// NodeMetricsList is the resolver for the nodeMetricsList field.\n   880→func (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int, resampleAlgo *model.ResampleAlgo) (*model.NodesResultList, error) {\n   881→\tif resolution == nil { // Load from Config\n   882→\t\tif config.Keys.EnableResampling != nil {\n   883→\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n   884→\t\t\tresolution = &defaultRes\n   885→\t\t} else { // Set 0 (Loads configured metric timestep)\n   886→\t\t\tdefaultRes := 0\n   887→\t\t\tresolution = &defaultRes\n   888→\t\t}\n   889→\t}\n   890→\n   891→\tuser := repository.GetUserFromContext(ctx)\n   892→\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n   893→\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n   894→\t}\n   895→\n   896→\tnodeRepo := repository.GetNodeRepository()\n   897→\t// nodes -> array hostname\n   898→\tnodes, nodeStateMap, metricHealthMap, countNodes, hasNextPage, nerr := nodeRepo.GetNodesForList(ctx, cluster, subCluster, stateFilter, nodeFilter, page)\n   899→\tif nerr != nil {\n   900→\t\treturn nil, errors.New(\"could not retrieve node list required for resolving NodeMetricsList\")\n   901→\t}\n   902→\n   903→\tif metrics == nil {\n   904→\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n   905→\t\t\tmetrics = append(metrics, mc.Name)\n   906→\t\t}\n   907→\t}\n   908→\n   909→\talgoName := \"\"\n   910→\tif resampleAlgo != nil {\n   911→\t\talgoName = strings.ToLower(resampleAlgo.String())\n   912→\t}\n   913→\n   914→\t// data -> map hostname:jobdata\n   915→\tdata, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx, algoName)\n   916→\tif err != nil {\n   917→\t\tcclog.Warn(\"error while loading node data (Resolver.NodeMetricsList\")\n   918→\t\treturn nil, err\n   919→\t}\n   920→\n   921→\tnodeMetricsList := make([]*model.NodeMetrics, 0, len(data))\n   922→\tfor _, hostname := range nodes {\n   923→\t\thost := &model.NodeMetrics{\n   924→\t\t\tHost:         hostname,\n   925→\t\t\tNodeState:    nodeStateMap[hostname],\n   926→\t\t\tMetricHealth: metricHealthMap[hostname],\n   927→\t\t\tMetrics:      make([]*model.JobMetricWithName, 0),\n   928→\t\t}\n   929→\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n   930→\t\tif err != nil {\n   931→\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n   932→\t\t}\n   933→\n   934→\t\tfor metric, scopedMetrics := range data[hostname] {\n   935→\t\t\tfor scope, scopedMetric := range scopedMetrics {\n   936→\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n   937→\t\t\t\t\tName:   metric,\n   938→\t\t\t\t\tScope:  scope,\n   939→\t\t\t\t\tMetric: scopedMetric,\n   940→\t\t\t\t})\n   941→\t\t\t}\n   942→\t\t}\n   943→\n   944→\t\tnodeMetricsList = append(nodeMetricsList, host)\n   945→\t}\n   946→\n   947→\tnodeMetricsListResult := &model.NodesResultList{\n   948→\t\tItems: nodeMetricsList,\n   949→\t\t// TotalNodes depends on sum of nodes grouped on latest timestamp, see repo/node.go:357"}]},"uuid":"3b7f73e1-52db-4e2c-8818-83fcdea45385","timestamp":"2026-03-20T04:24:05.638Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/internal/graph/schema.resolvers.go","content":"\t\t\t}\n\t\t}\n\n\t\tnodeMetrics = append(nodeMetrics, host)\n\t}\n\n\treturn nodeMetrics, nil\n}\n\n// NodeMetricsList is the resolver for the nodeMetricsList field.\nfunc (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int, resampleAlgo *model.ResampleAlgo) (*model.NodesResultList, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\t// nodes -> array hostname\n\tnodes, nodeStateMap, metricHealthMap, countNodes, hasNextPage, nerr := nodeRepo.GetNodesForList(ctx, cluster, subCluster, stateFilter, nodeFilter, page)\n\tif nerr != nil {\n\t\treturn nil, errors.New(\"could not retrieve node list required for resolving NodeMetricsList\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\talgoName := \"\"\n\tif resampleAlgo != nil {\n\t\talgoName = strings.ToLower(resampleAlgo.String())\n\t}\n\n\t// data -> map hostname:jobdata\n\tdata, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx, algoName)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data (Resolver.NodeMetricsList\")\n\t\treturn nil, err\n\t}\n\n\tnodeMetricsList := make([]*model.NodeMetrics, 0, len(data))\n\tfor _, hostname := range nodes {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost:         hostname,\n\t\t\tNodeState:    nodeStateMap[hostname],\n\t\t\tMetricHealth: metricHealthMap[hostname],\n\t\t\tMetrics:      make([]*model.JobMetricWithName, 0),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range data[hostname] {\n\t\t\tfor scope, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName:   metric,\n\t\t\t\t\tScope:  scope,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetricsList = append(nodeMetricsList, host)\n\t}\n\n\tnodeMetricsListResult := &model.NodesResultList{\n\t\tItems: nodeMetricsList,\n\t\t// TotalNodes depends on sum of nodes grouped on latest timestamp, see repo/node.go:357","numLines":80,"startLine":870,"totalLines":1087}},"sourceToolAssistantUUID":"9a91a6a0-9d23-4834-b1eb-6b022c5ec21d","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
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+{"parentUuid":"153759cb-321d-474c-b387-d20a1437a8a9","isSidechain":false,"promptId":"0763b03c-10c2-419e-8e69-b6ee9bffed71","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PjkvSe7fKRuRZdKxqVnpgT","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package config implements the program configuration data structures, validation and parsing\n     7→package config\n     8→\n     9→import (\n    10→\t\"bytes\"\n    11→\t\"encoding/json\"\n    12→\t\"time\"\n    13→\n    14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    15→\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n    16→)\n    17→\n    18→type ProgramConfig struct {\n    19→\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n    20→\tAddr string `json:\"addr\"`\n    21→\n    22→\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n    23→\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n    24→\n    25→\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n    26→\n    27→\t// Drop root permissions once .env was read and the port was taken.\n    28→\tUser  string `json:\"user\"`\n    29→\tGroup string `json:\"group\"`\n    30→\n    31→\t// Disable authentication (for everything: API, Web-UI, ...)\n    32→\tDisableAuthentication bool `json:\"disable-authentication\"`\n    33→\n    34→\t// If `embed-static-files` is true (default), the frontend files are directly\n    35→\t// embeded into the go binary and expected to be in web/frontend. Only if\n    36→\t// it is false the files in `static-files` are served instead.\n    37→\tEmbedStaticFiles bool   `json:\"embed-static-files\"`\n    38→\tStaticFiles      string `json:\"static-files\"`\n    39→\n    40→\t// Path to SQLite database file\n    41→\tDB string `json:\"db\"`\n    42→\n    43→\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n    44→\n    45→\t// Validate json input against schema\n    46→\tValidate bool `json:\"validate\"`\n    47→\n    48→\t// If 0 or empty, the session does not expire!\n    49→\tSessionMaxAge string `json:\"session-max-age\"`\n    50→\n    51→\t// If both those options are not empty, use HTTPS using those certificates.\n    52→\tHTTPSCertFile string `json:\"https-cert-file\"`\n    53→\tHTTPSKeyFile  string `json:\"https-key-file\"`\n    54→\n    55→\t// If not the empty string and `addr` does not end in \":80\",\n    56→\t// redirect every request incoming at port 80 to that url.\n    57→\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n    58→\n    59→\t// Where to store MachineState files\n    60→\tMachineStateDir string `json:\"machine-state-dir\"`\n    61→\n    62→\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n    63→\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n    64→\n    65→\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n    66→\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n    67→\n    68→\t// Energy Mix CO2 Emission Constant [g/kWh]\n    69→\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n    70→\tEmissionConstant int `json:\"emission-constant\"`\n    71→\n    72→\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n    73→\tEnableResampling *ResampleConfig `json:\"resampling\"`\n    74→\n    75→\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n    76→\tSystemdUnit string `json:\"systemd-unit\"`\n    77→\n    78→\t// Node state retention configuration\n    79→\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n    80→\n    81→\t// Database tuning configuration\n    82→\tDbConfig *DbConfig `json:\"db-config\"`\n    83→}\n    84→\n    85→type DbConfig struct {\n    86→\tCacheSizeMB               int `json:\"cache-size-mb\"`\n    87→\tSoftHeapLimitMB           int `json:\"soft-heap-limit-mb\"`\n    88→\tMaxOpenConnections        int `json:\"max-open-connections\"`\n    89→\tMaxIdleConnections        int `json:\"max-idle-connections\"`\n    90→\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n    91→\tBusyTimeoutMs             int `json:\"busy-timeout-ms\"`\n    92→}\n    93→\n    94→type NodeStateRetention struct {\n    95→\tPolicy             string `json:\"policy\"`      // \"delete\" or \"move\"\n    96→\tAge                int    `json:\"age\"`         // hours, default 24\n    97→\tTargetKind         string `json:\"target-kind\"` // \"file\" or \"s3\"\n    98→\tTargetPath         string `json:\"target-path\"`\n    99→\tTargetEndpoint     string `json:\"target-endpoint\"`\n   100→\tTargetBucket       string `json:\"target-bucket\"`\n   101→\tTargetAccessKey    string `json:\"target-access-key\"`\n   102→\tTargetSecretKey    string `json:\"target-secret-key\"`\n   103→\tTargetRegion       string `json:\"target-region\"`\n   104→\tTargetUsePathStyle bool   `json:\"target-use-path-style\"`\n   105→\tMaxFileSizeMB      int    `json:\"max-file-size-mb\"`\n   106→}\n   107→\n   108→type ResampleConfig struct {\n   109→\t// Minimum number of points to trigger resampling of data\n   110→\tMinimumPoints int `json:\"minimum-points\"`\n   111→\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n   112→\tResolutions []int `json:\"resolutions\"`\n   113→\t// Trigger next zoom level at less than this many visible datapoints\n   114→\tTrigger int `json:\"trigger\"`\n   115→}\n   116→\n   117→type NATSConfig struct {\n   118→\tSubjectJobEvent  string `json:\"subject-job-event\"`\n   119→\tSubjectNodeState string `json:\"subject-node-state\"`\n   120→\tJobConcurrency   int    `json:\"job-concurrency\"`\n   121→\tNodeConcurrency  int    `json:\"node-concurrency\"`\n   122→}\n   123→\n   124→type IntRange struct {\n   125→\tFrom int `json:\"from\"`\n   126→\tTo   int `json:\"to\"`\n   127→}\n   128→\n   129→type TimeRange struct {\n   130→\tFrom  *time.Time `json:\"from\"`\n   131→\tTo    *time.Time `json:\"to\"`\n   132→\tRange string     `json:\"range,omitempty\"`\n   133→}\n   134→\n   135→type FilterRanges struct {\n   136→\tDuration  *IntRange  `json:\"duration\"`\n   137→\tNumNodes  *IntRange  `json:\"num-nodes\"`\n   138→\tStartTime *TimeRange `json:\"start-time\"`\n   139→}\n   140→\n   141→var Keys ProgramConfig = ProgramConfig{\n   142→\tAddr:                      \"localhost:8080\",\n   143→\tEmbedStaticFiles:          true,\n   144→\tDB:                        \"./var/job.db\",\n   145→\tSessionMaxAge:             \"168h\",\n   146→\tStopJobsExceedingWalltime: 0,\n   147→\tShortRunningJobsDuration:  5 * 60,\n   148→}\n   149→\n   150→func Init(mainConfig json.RawMessage) {\n   151→\tValidate(configSchema, mainConfig)\n   152→\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n   153→\tdec.DisallowUnknownFields()\n   154→\tif err := dec.Decode(&Keys); err != nil {\n   155→\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n   156→\t}\n   157→\n   158→\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n   159→\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n   160→\t}\n   161→}\n   162→"}]},"uuid":"e1e9e87c-6a51-4a9c-8cd8-99798553c22c","timestamp":"2026-03-20T04:24:06.013Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/internal/config/config.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package config implements the program configuration data structures, validation and parsing\npackage config\n\nimport (\n\t\"bytes\"\n\t\"encoding/json\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n)\n\ntype ProgramConfig struct {\n\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n\tAddr string `json:\"addr\"`\n\n\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n\n\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n\n\t// Drop root permissions once .env was read and the port was taken.\n\tUser  string `json:\"user\"`\n\tGroup string `json:\"group\"`\n\n\t// Disable authentication (for everything: API, Web-UI, ...)\n\tDisableAuthentication bool `json:\"disable-authentication\"`\n\n\t// If `embed-static-files` is true (default), the frontend files are directly\n\t// embeded into the go binary and expected to be in web/frontend. Only if\n\t// it is false the files in `static-files` are served instead.\n\tEmbedStaticFiles bool   `json:\"embed-static-files\"`\n\tStaticFiles      string `json:\"static-files\"`\n\n\t// Path to SQLite database file\n\tDB string `json:\"db\"`\n\n\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n\n\t// Validate json input against schema\n\tValidate bool `json:\"validate\"`\n\n\t// If 0 or empty, the session does not expire!\n\tSessionMaxAge string `json:\"session-max-age\"`\n\n\t// If both those options are not empty, use HTTPS using those certificates.\n\tHTTPSCertFile string `json:\"https-cert-file\"`\n\tHTTPSKeyFile  string `json:\"https-key-file\"`\n\n\t// If not the empty string and `addr` does not end in \":80\",\n\t// redirect every request incoming at port 80 to that url.\n\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n\n\t// Where to store MachineState files\n\tMachineStateDir string `json:\"machine-state-dir\"`\n\n\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n\n\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n\n\t// Energy Mix CO2 Emission Constant [g/kWh]\n\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n\tEmissionConstant int `json:\"emission-constant\"`\n\n\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n\tEnableResampling *ResampleConfig `json:\"resampling\"`\n\n\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n\tSystemdUnit string `json:\"systemd-unit\"`\n\n\t// Node state retention configuration\n\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n\n\t// Database tuning configuration\n\tDbConfig *DbConfig `json:\"db-config\"`\n}\n\ntype DbConfig struct {\n\tCacheSizeMB               int `json:\"cache-size-mb\"`\n\tSoftHeapLimitMB           int `json:\"soft-heap-limit-mb\"`\n\tMaxOpenConnections        int `json:\"max-open-connections\"`\n\tMaxIdleConnections        int `json:\"max-idle-connections\"`\n\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n\tBusyTimeoutMs             int `json:\"busy-timeout-ms\"`\n}\n\ntype NodeStateRetention struct {\n\tPolicy             string `json:\"policy\"`      // \"delete\" or \"move\"\n\tAge                int    `json:\"age\"`         // hours, default 24\n\tTargetKind         string `json:\"target-kind\"` // \"file\" or \"s3\"\n\tTargetPath         string `json:\"target-path\"`\n\tTargetEndpoint     string `json:\"target-endpoint\"`\n\tTargetBucket       string `json:\"target-bucket\"`\n\tTargetAccessKey    string `json:\"target-access-key\"`\n\tTargetSecretKey    string `json:\"target-secret-key\"`\n\tTargetRegion       string `json:\"target-region\"`\n\tTargetUsePathStyle bool   `json:\"target-use-path-style\"`\n\tMaxFileSizeMB      int    `json:\"max-file-size-mb\"`\n}\n\ntype ResampleConfig struct {\n\t// Minimum number of points to trigger resampling of data\n\tMinimumPoints int `json:\"minimum-points\"`\n\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n\tResolutions []int `json:\"resolutions\"`\n\t// Trigger next zoom level at less than this many visible datapoints\n\tTrigger int `json:\"trigger\"`\n}\n\ntype NATSConfig struct {\n\tSubjectJobEvent  string `json:\"subject-job-event\"`\n\tSubjectNodeState string `json:\"subject-node-state\"`\n\tJobConcurrency   int    `json:\"job-concurrency\"`\n\tNodeConcurrency  int    `json:\"node-concurrency\"`\n}\n\ntype IntRange struct {\n\tFrom int `json:\"from\"`\n\tTo   int `json:\"to\"`\n}\n\ntype TimeRange struct {\n\tFrom  *time.Time `json:\"from\"`\n\tTo    *time.Time `json:\"to\"`\n\tRange string     `json:\"range,omitempty\"`\n}\n\ntype FilterRanges struct {\n\tDuration  *IntRange  `json:\"duration\"`\n\tNumNodes  *IntRange  `json:\"num-nodes\"`\n\tStartTime *TimeRange `json:\"start-time\"`\n}\n\nvar Keys ProgramConfig = ProgramConfig{\n\tAddr:                      \"localhost:8080\",\n\tEmbedStaticFiles:          true,\n\tDB:                        \"./var/job.db\",\n\tSessionMaxAge:             \"168h\",\n\tStopJobsExceedingWalltime: 0,\n\tShortRunningJobsDuration:  5 * 60,\n}\n\nfunc Init(mainConfig json.RawMessage) {\n\tValidate(configSchema, mainConfig)\n\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&Keys); err != nil {\n\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n\t}\n\n\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n\t}\n}\n","numLines":162,"startLine":1,"totalLines":162}},"sourceToolAssistantUUID":"153759cb-321d-474c-b387-d20a1437a8a9","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
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+{"parentUuid":"19ace252-4052-4e2c-b897-accff39a0a07","isSidechain":false,"promptId":"0763b03c-10c2-419e-8e69-b6ee9bffed71","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AZrVgh5TCNWQp3fxHJBQUV","type":"tool_result","content":"   500→\n   501→            let y = u.valToPos(thresholds.normal, \"y\", true);\n   502→            u.ctx.save();\n   503→            u.ctx.lineWidth = lineWidth;\n   504→            u.ctx.strokeStyle = normalLineColor;\n   505→            u.ctx.setLineDash([5, 5]);\n   506→            u.ctx.beginPath();\n   507→            u.ctx.moveTo(u.bbox.left, y);\n   508→            u.ctx.lineTo(u.bbox.left + u.bbox.width, y);\n   509→            u.ctx.stroke();\n   510→            u.ctx.restore();\n   511→          },\n   512→        ],\n   513→        setScale: [\n   514→          (u, key) => { // If ZoomResample is Configured && Not System/Node View\n   515→            if (resampleConfig && !forNode && key === 'x') {\n   516→              const numX = (u.series[0].idxs[1] - u.series[0].idxs[0])\n   517→              if (numX <= resampleTrigger && timestep !== resampleMinimum) {\n   518→                /* Get closest zoom level; prevents multiple iterative zoom requests for big zoom-steps (e.g. 600 -> 300 -> 120 -> 60) */\n   519→                // Which resolution to theoretically request to achieve 30 or more visible data points:\n   520→                const target = (numX * timestep) / resampleTrigger\n   521→                // Which configured resolution actually matches the closest to theoretical target:\n   522→                const closest = resampleResolutions.reduce(function(prev, curr) {\n   523→                  return (Math.abs(curr - target) < Math.abs(prev - target) ? curr : prev);\n   524→                });\n   525→                // Prevents non-required dispatches\n   526→                if (timestep !== closest) {\n   527→                  // console.log('Dispatch: Zoom with Res from / to', timestep, closest)\n   528→                  onZoom({\n   529→                    newRes: closest,\n   530→                    lastZoomState: u?.scales,\n   531→                    lastThreshold: thresholds?.normal\n   532→                  });\n   533→                }\n   534→              } else {\n   535→                // console.log('Dispatch: Zoom Update States')\n   536→                onZoom({\n   537→                  lastZoomState: u?.scales,\n   538→                  lastThreshold: thresholds?.normal\n   539→                });\n   540→              };\n   541→            };\n   542→          },\n   543→        ]\n   544→      },\n   545→      scales: {\n   546→        x: { time: false },\n   547→        y: maxY ? { min: 0, max: (maxY * 1.1) } : {auto: true}, // Add some space to upper render limit\n   548→      },\n   549→      legend: {\n   550→        // Display legend until max 12 Y-dataseries\n   551→        show: series.length <= 12 || useStatsSeries,\n   552→        live: series.length <= 12 || useStatsSeries,\n   553→      },\n   554→      cursor: { \n   555→        drag: { x: true, y: true },\n   556→      }\n   557→    };\n   558→\n   559→    // Handle Render"}]},"uuid":"97705cf2-3c14-4b2f-b70e-b172da2abd20","timestamp":"2026-03-20T04:24:07.394Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/web/frontend/src/generic/plots/MetricPlot.svelte","content":"\n            let y = u.valToPos(thresholds.normal, \"y\", true);\n            u.ctx.save();\n            u.ctx.lineWidth = lineWidth;\n            u.ctx.strokeStyle = normalLineColor;\n            u.ctx.setLineDash([5, 5]);\n            u.ctx.beginPath();\n            u.ctx.moveTo(u.bbox.left, y);\n            u.ctx.lineTo(u.bbox.left + u.bbox.width, y);\n            u.ctx.stroke();\n            u.ctx.restore();\n          },\n        ],\n        setScale: [\n          (u, key) => { // If ZoomResample is Configured && Not System/Node View\n            if (resampleConfig && !forNode && key === 'x') {\n              const numX = (u.series[0].idxs[1] - u.series[0].idxs[0])\n              if (numX <= resampleTrigger && timestep !== resampleMinimum) {\n                /* Get closest zoom level; prevents multiple iterative zoom requests for big zoom-steps (e.g. 600 -> 300 -> 120 -> 60) */\n                // Which resolution to theoretically request to achieve 30 or more visible data points:\n                const target = (numX * timestep) / resampleTrigger\n                // Which configured resolution actually matches the closest to theoretical target:\n                const closest = resampleResolutions.reduce(function(prev, curr) {\n                  return (Math.abs(curr - target) < Math.abs(prev - target) ? curr : prev);\n                });\n                // Prevents non-required dispatches\n                if (timestep !== closest) {\n                  // console.log('Dispatch: Zoom with Res from / to', timestep, closest)\n                  onZoom({\n                    newRes: closest,\n                    lastZoomState: u?.scales,\n                    lastThreshold: thresholds?.normal\n                  });\n                }\n              } else {\n                // console.log('Dispatch: Zoom Update States')\n                onZoom({\n                  lastZoomState: u?.scales,\n                  lastThreshold: thresholds?.normal\n                });\n              };\n            };\n          },\n        ]\n      },\n      scales: {\n        x: { time: false },\n        y: maxY ? { min: 0, max: (maxY * 1.1) } : {auto: true}, // Add some space to upper render limit\n      },\n      legend: {\n        // Display legend until max 12 Y-dataseries\n        show: series.length <= 12 || useStatsSeries,\n        live: series.length <= 12 || useStatsSeries,\n      },\n      cursor: { \n        drag: { x: true, y: true },\n      }\n    };\n\n    // Handle Render","numLines":60,"startLine":500,"totalLines":626}},"sourceToolAssistantUUID":"19ace252-4052-4e2c-b897-accff39a0a07","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
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for additional legend display [Default: false]\n    16→  - `forNode Bool?`: If this plot is used for node data display; will render x-axis as negative time with $now as maximum [Default: false]\n    17→  - `numhwthreads Number?`: Number of job HWThreads [Default: 0]\n    18→  - `numaccs Number?`: Number of job Accelerators [Default: 0]\n    19→  - `zoomState Object?`: The last zoom state to preserve on user zoom [Default: null]\n    20→  - `thersholdState Object?`: The last threshold state to preserve on user zoom [Default: null]\n    21→  - `extendedLegendData Object?`: Additional information to be rendered in an extended legend [Default: null]\n    22→  - `onZoom Func`: Callback function to handle zoom-in event\n    23→-->\n    24→\n    25→<script>\n    26→  import uPlot from \"uplot\";\n    27→  import { formatNumber, formatDurationTime } from \"../units.js\";\n    28→  import { getContext, onMount, onDestroy } from \"svelte\";\n    29→  import { Card, CardBody, CardHeader } from \"@sveltestrap/sveltestrap\";\n    30→\n    31→  /* Svelte 5 Props */\n    32→  let {\n    33→    metric,\n    34→    scope = \"node\",\n    35→    width = 0,\n    36→    height = 300,\n    37→    timestep,\n    38→    series,\n    39→    statisticsSeries = null,\n    40→    cluster = \"\",\n    41→    subCluster,\n    42→    isShared = false,\n    43→    forNode = false,\n    44→    zoomState = null,\n    45→    thresholdState = null,\n    46→    extendedLegendData = null,\n    47→    plotSync = null,\n    48→    enableFlip = false,\n    49→    onZoom\n    50→  } = $props();"}]},"uuid":"785b53f3-d4ef-4042-9a7b-f51dba7ee497","timestamp":"2026-03-20T04:24:13.019Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/web/frontend/src/generic/plots/MetricPlot.svelte","content":"<!--\n  @component Main plot component, based on uPlot; metricdata values by time\n\n  Only width/height should change reactively.\n\n  Properties:\n  - `metric String`: The metric name\n  - `scope String?`: Scope of the displayed data [Default: node]\n  - `height Number?`: The plot height [Default: 300]\n  - `timestep Number`: The timestep used for X-axis rendering\n  - `series [GraphQL.Series]`: The metric data object\n  - `statisticsSeries [GraphQL.StatisticsSeries]?`: Min/Max/Median representation of metric data [Default: null]\n  - `cluster String?`: Cluster name of the parent job / data [Default: \"\"]\n  - `subCluster String`: Name of the subCluster of the parent job\n  - `isShared Bool?`: If this job used shared resources; for additional legend display [Default: false]\n  - `forNode Bool?`: If this plot is used for node data display; will render x-axis as negative time with $now as maximum [Default: false]\n  - `numhwthreads Number?`: Number of job HWThreads [Default: 0]\n  - `numaccs Number?`: Number of job Accelerators [Default: 0]\n  - `zoomState Object?`: The last zoom state to preserve on user zoom [Default: null]\n  - `thersholdState Object?`: The last threshold state to preserve on user zoom [Default: null]\n  - `extendedLegendData Object?`: Additional information to be rendered in an extended legend [Default: null]\n  - `onZoom Func`: Callback function to handle zoom-in event\n-->\n\n<script>\n  import uPlot from \"uplot\";\n  import { formatNumber, formatDurationTime } from \"../units.js\";\n  import { getContext, onMount, onDestroy } from \"svelte\";\n  import { Card, CardBody, CardHeader } from \"@sveltestrap/sveltestrap\";\n\n  /* Svelte 5 Props */\n  let {\n    metric,\n    scope = \"node\",\n    width = 0,\n    height = 300,\n    timestep,\n    series,\n    statisticsSeries = null,\n    cluster = \"\",\n    subCluster,\n    isShared = false,\n    forNode = false,\n    zoomState = null,\n    thresholdState = null,\n    extendedLegendData = null,\n    plotSync = null,\n    enableFlip = false,\n    onZoom\n  } = $props();","numLines":50,"startLine":1,"totalLines":626}},"sourceToolAssistantUUID":"a2092b23-2f5d-4ed8-94c3-723fa0a34a1d","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
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ok {\n   484→\t\t\t\ttitle = strings.Replace(route.Title, \"<ID>\", id.(string), 1)\n   485→\t\t\t\tif sid, ok := infos[\"sid\"]; ok { // 2nd ID element\n   486→\t\t\t\t\ttitle = strings.Replace(title, \"<SID>\", sid.(string), 1)\n   487→\t\t\t\t}\n   488→\t\t\t}\n   489→\n   490→\t\t\t// Get User -> What if NIL?\n   491→\t\t\tuser := repository.GetUserFromContext(r.Context())\n   492→\n   493→\t\t\t// Get Roles\n   494→\t\t\tavailableRoles, _ := schema.GetValidRolesMap(user)\n   495→\n   496→\t\t\tpage := web.Page{\n   497→\t\t\t\tTitle:      title,\n   498→\t\t\t\tUser:       *user,\n   499→\t\t\t\tRoles:      availableRoles,\n   500→\t\t\t\tBuild:      buildInfo,\n   501→\t\t\t\tConfig:     conf,\n   502→\t\t\t\tResampling: config.Keys.EnableResampling,\n   503→\t\t\t\tInfos:      infos,\n   504→\t\t\t}\n   505→\n   506→\t\t\tif route.Filter {\n   507→\t\t\t\tpage.FilterPresets = buildFilterPresets(r.URL.Query())\n   508→\t\t\t}\n   509→\n   510→\t\t\tweb.RenderTemplate(rw, route.Template, &page)\n   511→\t\t})\n   512→\t}\n   513→}\n   514→\n   515→func HandleSearchBar(rw http.ResponseWriter, r *http.Request, buildInfo web.Build) {\n   516→\tuser := repository.GetUserFromContext(r.Context())\n   517→\tavailableRoles, _ := schema.GetValidRolesMap(user)\n   518→\n   519→\tif search := r.URL.Query().Get(\"searchId\"); 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ok {\n\t\t\t\ttitle = strings.Replace(route.Title, \"<ID>\", id.(string), 1)\n\t\t\t\tif sid, ok := infos[\"sid\"]; ok { // 2nd ID element\n\t\t\t\t\ttitle = strings.Replace(title, \"<SID>\", sid.(string), 1)\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Get User -> What if NIL?\n\t\t\tuser := repository.GetUserFromContext(r.Context())\n\n\t\t\t// Get Roles\n\t\t\tavailableRoles, _ := schema.GetValidRolesMap(user)\n\n\t\t\tpage := web.Page{\n\t\t\t\tTitle:      title,\n\t\t\t\tUser:       *user,\n\t\t\t\tRoles:      availableRoles,\n\t\t\t\tBuild:      buildInfo,\n\t\t\t\tConfig:     conf,\n\t\t\t\tResampling: config.Keys.EnableResampling,\n\t\t\t\tInfos:      infos,\n\t\t\t}\n\n\t\t\tif route.Filter {\n\t\t\t\tpage.FilterPresets = buildFilterPresets(r.URL.Query())\n\t\t\t}\n\n\t\t\tweb.RenderTemplate(rw, route.Template, &page)\n\t\t})\n\t}\n}\n\nfunc HandleSearchBar(rw http.ResponseWriter, r *http.Request, buildInfo web.Build) {\n\tuser := repository.GetUserFromContext(r.Context())\n\tavailableRoles, _ := schema.GetValidRolesMap(user)\n\n\tif search := r.URL.Query().Get(\"searchId\"); 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This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package repository\n     6→\n     7→import (\n     8→\t\"encoding/json\"\n     9→\t\"maps\"\n    10→\t\"sync\"\n    11→\t\"time\"\n    12→\n    13→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    14→\t\"github.com/ClusterCockpit/cc-backend/web\"\n    15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    16→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n    17→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    18→\t\"github.com/jmoiron/sqlx\"\n    19→)\n    20→\n    21→var (\n    22→\tuserCfgRepoOnce     sync.Once\n    23→\tuserCfgRepoInstance *UserCfgRepo\n    24→)\n    25→\n    26→type UserCfgRepo struct {\n    27→\tDB         *sqlx.DB\n    28→\tLookup     *sqlx.Stmt\n    29→\tuiDefaults map[string]any\n    30→\tcache      *lrucache.Cache\n    31→\tlock       sync.RWMutex\n    32→}\n    33→\n    34→func GetUserCfgRepo() *UserCfgRepo {\n    35→\tuserCfgRepoOnce.Do(func() {\n    36→\t\tdb := GetConnection()\n    37→\n    38→\t\tlookupConfigStmt, err := db.DB.Preparex(`SELECT confkey, value FROM configuration WHERE configuration.username = ?`)\n    39→\t\tif err != nil {\n    40→\t\t\tcclog.Fatalf(\"User Config: Call 'db.DB.Preparex()' failed.\\nError: %s\\n\", err.Error())\n    41→\t\t}\n    42→\n    43→\t\tuserCfgRepoInstance = &UserCfgRepo{\n    44→\t\t\tDB:         db.DB,\n    45→\t\t\tLookup:     lookupConfigStmt,\n    46→\t\t\tuiDefaults: web.UIDefaultsMap,\n    47→\t\t\tcache:      lrucache.New(1024),\n    48→\t\t}\n    49→\t})\n    50→\n    51→\treturn userCfgRepoInstance\n    52→}\n    53→\n    54→// Return the personalised UI config for the currently authenticated\n    55→// user or return the plain default config.\n    56→func (uCfg *UserCfgRepo) GetUIConfig(user *schema.User) (map[string]any, error) {\n    57→\tif user == nil {\n    58→\t\tcopy := make(map[string]any, len(uCfg.uiDefaults))\n    59→\t\tmaps.Copy(copy, uCfg.uiDefaults)\n    60→\t\treturn copy, nil\n    61→\t}\n    62→\n    63→\t// Is the cache invalidated in case the options are changed?\n    64→\tdata := uCfg.cache.Get(user.Username, func() (any, time.Duration, int) {\n    65→\t\tuiconfig := make(map[string]any, len(uCfg.uiDefaults))\n    66→\t\tmaps.Copy(uiconfig, uCfg.uiDefaults)\n    67→\n    68→\t\trows, err := uCfg.Lookup.Query(user.Username)\n    69→\t\tif err != nil {\n    70→\t\t\tcclog.Warnf(\"Error while looking up user uiconfig for user '%v'\", user.Username)\n    71→\t\t\treturn err, 0, 0\n    72→\t\t}\n    73→\n    74→\t\tsize := 0\n    75→\t\tdefer rows.Close()\n    76→\t\tfor rows.Next() {\n    77→\t\t\tvar key, rawval string\n    78→\t\t\tif err := rows.Scan(&key, &rawval); err != nil {\n    79→\t\t\t\tcclog.Warn(\"Error while scanning user uiconfig values\")\n    80→\t\t\t\treturn err, 0, 0\n    81→\t\t\t}\n    82→\n    83→\t\t\tvar val any\n    84→\t\t\tif err := json.Unmarshal([]byte(rawval), &val); err != nil {\n    85→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw user uiconfig json\")\n    86→\t\t\t\treturn err, 0, 0\n    87→\t\t\t}\n    88→\n    89→\t\t\tsize += len(key)\n    90→\t\t\tsize += len(rawval)\n    91→\t\t\tuiconfig[key] = val\n    92→\t\t}\n    93→\n    94→\t\t// Add global ShortRunningJobsDuration setting as jobList_hideShortRunningJobs\n    95→\t\tuiconfig[\"jobList_hideShortRunningJobs\"] = config.Keys.ShortRunningJobsDuration\n    96→\n    97→\t\treturn uiconfig, 24 * time.Hour, size\n    98→\t})\n    99→\tif err, ok := data.(error); ok {\n   100→\t\tcclog.Error(\"Error in returned dataset\")\n   101→\t\treturn nil, err\n   102→\t}\n   103→\n   104→\treturn data.(map[string]any), nil\n   105→}\n   106→\n   107→// If the context does not have a user, update the global ui configuration\n   108→// without persisting it!  If there is a (authenticated) user, update only his\n   109→// configuration.\n   110→func (uCfg *UserCfgRepo) UpdateConfig(\n   111→\tkey, value string,\n   112→\tuser *schema.User,\n   113→) error {\n   114→\tif user == nil {\n   115→\t\treturn nil\n   116→\t}\n   117→\n   118→\tif _, err := uCfg.DB.Exec(`REPLACE INTO configuration (username, confkey, value) VALUES (?, ?, ?)`, user.Username, key, value); err != nil {\n   119→\t\tcclog.Warnf(\"Error while replacing user config in DB for user '%v'\", user.Username)\n   120→\t\treturn err\n   121→\t}\n   122→\n   123→\tuCfg.cache.Del(user.Username)\n   124→\treturn nil\n   125→}\n   126→"}]},"uuid":"63e1670d-c9d7-4629-a4d0-07deb4ee7c8d","timestamp":"2026-03-20T04:24:29.494Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/internal/repository/userConfig.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage repository\n\nimport (\n\t\"encoding/json\"\n\t\"maps\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/web\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\tuserCfgRepoOnce     sync.Once\n\tuserCfgRepoInstance *UserCfgRepo\n)\n\ntype UserCfgRepo struct {\n\tDB         *sqlx.DB\n\tLookup     *sqlx.Stmt\n\tuiDefaults map[string]any\n\tcache      *lrucache.Cache\n\tlock       sync.RWMutex\n}\n\nfunc GetUserCfgRepo() *UserCfgRepo {\n\tuserCfgRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tlookupConfigStmt, err := db.DB.Preparex(`SELECT confkey, value FROM configuration WHERE configuration.username = ?`)\n\t\tif err != nil {\n\t\t\tcclog.Fatalf(\"User Config: Call 'db.DB.Preparex()' failed.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tuserCfgRepoInstance = &UserCfgRepo{\n\t\t\tDB:         db.DB,\n\t\t\tLookup:     lookupConfigStmt,\n\t\t\tuiDefaults: web.UIDefaultsMap,\n\t\t\tcache:      lrucache.New(1024),\n\t\t}\n\t})\n\n\treturn userCfgRepoInstance\n}\n\n// Return the personalised UI config for the currently authenticated\n// user or return the plain default config.\nfunc (uCfg *UserCfgRepo) GetUIConfig(user *schema.User) (map[string]any, error) {\n\tif user == nil {\n\t\tcopy := make(map[string]any, len(uCfg.uiDefaults))\n\t\tmaps.Copy(copy, uCfg.uiDefaults)\n\t\treturn copy, nil\n\t}\n\n\t// Is the cache invalidated in case the options are changed?\n\tdata := uCfg.cache.Get(user.Username, func() (any, time.Duration, int) {\n\t\tuiconfig := make(map[string]any, len(uCfg.uiDefaults))\n\t\tmaps.Copy(uiconfig, uCfg.uiDefaults)\n\n\t\trows, err := uCfg.Lookup.Query(user.Username)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while looking up user uiconfig for user '%v'\", user.Username)\n\t\t\treturn err, 0, 0\n\t\t}\n\n\t\tsize := 0\n\t\tdefer rows.Close()\n\t\tfor rows.Next() {\n\t\t\tvar key, rawval string\n\t\t\tif err := rows.Scan(&key, &rawval); err != nil {\n\t\t\t\tcclog.Warn(\"Error while scanning user uiconfig values\")\n\t\t\t\treturn err, 0, 0\n\t\t\t}\n\n\t\t\tvar val any\n\t\t\tif err := json.Unmarshal([]byte(rawval), &val); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw user uiconfig json\")\n\t\t\t\treturn err, 0, 0\n\t\t\t}\n\n\t\t\tsize += len(key)\n\t\t\tsize += len(rawval)\n\t\t\tuiconfig[key] = val\n\t\t}\n\n\t\t// Add global ShortRunningJobsDuration setting as jobList_hideShortRunningJobs\n\t\tuiconfig[\"jobList_hideShortRunningJobs\"] = config.Keys.ShortRunningJobsDuration\n\n\t\treturn uiconfig, 24 * time.Hour, size\n\t})\n\tif err, ok := data.(error); ok {\n\t\tcclog.Error(\"Error in returned dataset\")\n\t\treturn nil, err\n\t}\n\n\treturn data.(map[string]any), nil\n}\n\n// If the context does not have a user, update the global ui configuration\n// without persisting it!  If there is a (authenticated) user, update only his\n// configuration.\nfunc (uCfg *UserCfgRepo) UpdateConfig(\n\tkey, value string,\n\tuser *schema.User,\n) error {\n\tif user == nil {\n\t\treturn nil\n\t}\n\n\tif _, err := uCfg.DB.Exec(`REPLACE INTO configuration (username, confkey, value) VALUES (?, ?, ?)`, user.Username, key, value); err != nil {\n\t\tcclog.Warnf(\"Error while replacing user config in DB for user '%v'\", user.Username)\n\t\treturn err\n\t}\n\n\tuCfg.cache.Del(user.Username)\n\treturn nil\n}\n","numLines":126,"startLine":1,"totalLines":126}},"sourceToolAssistantUUID":"5c160ccb-13eb-43fc-b5cc-d5b75e6b5d50","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"63e1670d-c9d7-4629-a4d0-07deb4ee7c8d","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01EhDgzp2a7TVpvk3BbVyDyi","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EuACCkYICxgCKkB35kwc+FM4WOlQ8G7kxwBAWakTUIIsOvGXSSLMqbomzQGvBWfT8dws0Fp0u6uG0NZwQOcACmOw01eMwZ+UIeMREgzLiDymcVGjhUZeUrMaDKLiWr5jZZMbzyJyciIwGXv8uT15nBYgGG38y1YXcSCrJHoSIdRKSjznexNYbH02GM5N3dgZuoS6UqJG1xwmKscB2nNx9CRBF8gKKzotGrTZ5E1rQ6hQ0PXQ11wRJPWKToMMx8ugGCj1CVcxFEZzknScz4XKc5aGJTohBAWRLEAsI2AvDECEXNaVACYqkvOFlHg0ISAW2GZh39lQd4DfqBZgv2ngUT7ol3P1E/VrUKkAEvaRmO8hhf1Q85bO1aOonpQuQwBGAatlDbxQMI8svI0QBh+qlLE8yDav/rWh2wmd7QByEexEFLBpxay7z+rofEiFFlmYEQHU9FWPXGP1HEXsxg8uPkMTpRgB"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2674,"cache_read_input_tokens":40057,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2674},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDhKPLReowgsUEMGhDbC","type":"assistant","uuid":"4031a850-8a93-43d2-b4fa-57f256af779a","timestamp":"2026-03-20T04:24:35.394Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"4031a850-8a93-43d2-b4fa-57f256af779a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01EhDgzp2a7TVpvk3BbVyDyi","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me check one more thing - how config.tmpl passes resampleConfig to the settings page."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2674,"cache_read_input_tokens":40057,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2674},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDhKPLReowgsUEMGhDbC","type":"assistant","uuid":"fe319d77-4360-42ca-b76a-3729a1edd5c8","timestamp":"2026-03-20T04:24:36.025Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"fe319d77-4360-42ca-b76a-3729a1edd5c8","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01EhDgzp2a7TVpvk3BbVyDyi","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01C6ABnnQjGACe5wPTxia7V6","name":"Read","input":{"file_path":"/Users/jan/tmp/cc-backend/web/templates/config.tmpl"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2674,"cache_read_input_tokens":40057,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2674},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDhKPLReowgsUEMGhDbC","type":"assistant","uuid":"cf09deb3-bdc6-4163-8370-e2a452a68b51","timestamp":"2026-03-20T04:24:36.638Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"cf09deb3-bdc6-4163-8370-e2a452a68b51","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01C6ABnnQjGACe5wPTxia7V6","toolUseID":"toolu_01C6ABnnQjGACe5wPTxia7V6","timestamp":"2026-03-20T04:24:36.663Z","uuid":"b5f9b136-f0ff-4d8c-8455-6beb06cbf865","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"cf09deb3-bdc6-4163-8370-e2a452a68b51","isSidechain":false,"promptId":"0763b03c-10c2-419e-8e69-b6ee9bffed71","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01C6ABnnQjGACe5wPTxia7V6","type":"tool_result","content":"     1→{{define \"content\"}}\n     2→    <div id=\"svelte-app\"></div>\n     3→{{end}}\n     4→\n     5→{{define \"stylesheets\"}}\n     6→    <link rel='stylesheet' href='/build/config.css'>\n     7→{{end}}\n     8→{{define \"javascript\"}}\n     9→    <script>\n    10→        const isAdmin = {{ .User.HasRole .Roles.admin }};\n    11→        const isSupport = {{ .User.HasRole .Roles.support }};\n    12→        const isApi = {{ .User.HasRole .Roles.api }};\n    13→        const username = {{ .User.Username }};\n    14→        const filterPresets = {{ .FilterPresets }};\n    15→        const clusterCockpitConfig = {{ .Config }};\n    16→        const resampleConfig = {{ .Resampling }};\n    17→        const ncontent = {{ .Infos.ncontent }};\n    18→    </script>\n    19→    <script src='/build/config.js'></script>\n    20→{{end}}"}]},"uuid":"93e9ed9a-0a08-4cf6-a7ac-c14ff3e7984b","timestamp":"2026-03-20T04:24:36.662Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/web/templates/config.tmpl","content":"{{define \"content\"}}\n    <div id=\"svelte-app\"></div>\n{{end}}\n\n{{define \"stylesheets\"}}\n    <link rel='stylesheet' href='/build/config.css'>\n{{end}}\n{{define \"javascript\"}}\n    <script>\n        const isAdmin = {{ .User.HasRole .Roles.admin }};\n        const isSupport = {{ .User.HasRole .Roles.support }};\n        const isApi = {{ .User.HasRole .Roles.api }};\n        const username = {{ .User.Username }};\n        const filterPresets = {{ .FilterPresets }};\n        const clusterCockpitConfig = {{ .Config }};\n        const resampleConfig = {{ .Resampling }};\n        const ncontent = {{ .Infos.ncontent }};\n    </script>\n    <script src='/build/config.js'></script>\n{{end}}","numLines":20,"startLine":1,"totalLines":20}},"sourceToolAssistantUUID":"cf09deb3-bdc6-4163-8370-e2a452a68b51","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"93e9ed9a-0a08-4cf6-a7ac-c14ff3e7984b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01EhDgzp2a7TVpvk3BbVyDyi","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TsaW8bw5U6iwMQhqTjzfm2","name":"Read","input":{"file_path":"/Users/jan/tmp/cc-backend/web/frontend/src/config.entrypoint.js"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2674,"cache_read_input_tokens":40057,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2674},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDhKPLReowgsUEMGhDbC","type":"assistant","uuid":"c99aedac-974f-4fe1-b929-d805b6188b3a","timestamp":"2026-03-20T04:24:36.821Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"c99aedac-974f-4fe1-b929-d805b6188b3a","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01TsaW8bw5U6iwMQhqTjzfm2","toolUseID":"toolu_01TsaW8bw5U6iwMQhqTjzfm2","timestamp":"2026-03-20T04:24:36.828Z","uuid":"80afc5cd-4058-4dd9-95d8-b845dca74f46","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"c99aedac-974f-4fe1-b929-d805b6188b3a","isSidechain":false,"promptId":"0763b03c-10c2-419e-8e69-b6ee9bffed71","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TsaW8bw5U6iwMQhqTjzfm2","type":"tool_result","content":"     1→import { mount } from 'svelte';\n     2→import {} from './header.entrypoint.js'\n     3→import Config from './Config.root.svelte'\n     4→\n     5→mount(Config, {\n     6→    target: document.getElementById('svelte-app'),\n     7→    props: {\n     8→        isAdmin: isAdmin,\n     9→        isSupport: isSupport,\n    10→        isApi: isApi,\n    11→        username: username,\n    12→        ncontent: ncontent,\n    13→        clusterNames: hClusterNames\n    14→    },\n    15→    context: new Map([\n    16→            ['cc-config', clusterCockpitConfig],\n    17→            ['resampling', resampleConfig]\n    18→    ])\n    19→})\n    20→"}]},"uuid":"7530d9ac-334b-45da-95a1-f91bed2e4350","timestamp":"2026-03-20T04:24:36.827Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/web/frontend/src/config.entrypoint.js","content":"import { mount } from 'svelte';\nimport {} from './header.entrypoint.js'\nimport Config from './Config.root.svelte'\n\nmount(Config, {\n    target: document.getElementById('svelte-app'),\n    props: {\n        isAdmin: isAdmin,\n        isSupport: isSupport,\n        isApi: isApi,\n        username: username,\n        ncontent: ncontent,\n        clusterNames: hClusterNames\n    },\n    context: new Map([\n            ['cc-config', clusterCockpitConfig],\n            ['resampling', resampleConfig]\n    ])\n})\n","numLines":20,"startLine":1,"totalLines":20}},"sourceToolAssistantUUID":"c99aedac-974f-4fe1-b929-d805b6188b3a","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
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+{"parentUuid":"5a39c706-f3df-4b4b-802b-23a2602017f1","isSidechain":false,"promptId":"0763b03c-10c2-419e-8e69-b6ee9bffed71","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NjCmjy8RPieHbRcn5sfakV","type":"tool_result","content":"   290→\t\t\t} else {\n   291→\t\t\t\ttags = append(tags, int(tid))\n   292→\t\t\t}\n   293→\t\t} else {\n   294→\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n   295→\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n   296→\t\t}\n   297→\t}\n   298→\treturn tags, nil\n   299→}\n   300→\n   301→// UpdateConfiguration is the resolver for the updateConfiguration field.\n   302→func (r *mutationResolver) UpdateConfiguration(ctx context.Context, name string, value string) (*string, error) {\n   303→\tif err := repository.GetUserCfgRepo().UpdateConfig(name, value, repository.GetUserFromContext(ctx)); err != nil {\n   304→\t\tcclog.Warn(\"Error while updating user config\")\n   305→\t\treturn nil, err\n   306→\t}\n   307→\n   308→\treturn nil, nil\n   309→}"}]},"uuid":"81d3efdb-0903-4afc-8478-c2ba06c0f6c9","timestamp":"2026-03-20T04:24:37.040Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/internal/graph/schema.resolvers.go","content":"\t\t\t} else {\n\t\t\t\ttags = append(tags, int(tid))\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\t}\n\treturn tags, nil\n}\n\n// UpdateConfiguration is the resolver for the updateConfiguration field.\nfunc (r *mutationResolver) UpdateConfiguration(ctx context.Context, name string, value string) (*string, error) {\n\tif err := repository.GetUserCfgRepo().UpdateConfig(name, value, repository.GetUserFromContext(ctx)); err != nil {\n\t\tcclog.Warn(\"Error while updating user config\")\n\t\treturn nil, err\n\t}\n\n\treturn nil, nil\n}","numLines":20,"startLine":290,"totalLines":1087}},"sourceToolAssistantUUID":"5a39c706-f3df-4b4b-802b-23a2602017f1","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
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+{"parentUuid":"98a789b6-6caa-44c9-961c-b9498973a08f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PvkSZXonAHab2VpQNcfEQB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01P2NahxW7uRucwoTHS92nHR","name":"Write","input":{"file_path":"/Users/jan/tmp/cc-backend/internal/metricdispatch/resamplepolicy_test.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage metricdispatch\n\nimport \"testing\"\n\nfunc TestTargetPointsForPolicy(t *testing.T) {\n\ttests := []struct {\n\t\tpolicy ResamplePolicy\n\t\twant   int\n\t}{\n\t\t{ResamplePolicyLow, 200},\n\t\t{ResamplePolicyMedium, 500},\n\t\t{ResamplePolicyHigh, 1000},\n\t\t{ResamplePolicy(\"unknown\"), 0},\n\t\t{ResamplePolicy(\"\"), 0},\n\t}\n\n\tfor _, tt := range tests {\n\t\tif got := TargetPointsForPolicy(tt.policy); got != tt.want {\n\t\t\tt.Errorf(\"TargetPointsForPolicy(%q) = %d, want %d\", tt.policy, got, tt.want)\n\t\t}\n\t}\n}\n\nfunc TestComputeResolution(t *testing.T) {\n\ttests := []struct {\n\t\tname         string\n\t\tduration     int64\n\t\tfrequency    int64\n\t\ttargetPoints int\n\t\twant         int\n\t}{\n\t\t// 24h job, 60s frequency, 1440 total points\n\t\t{\"low_24h_60s\", 86400, 60, 200, 480},\n\t\t{\"medium_24h_60s\", 86400, 60, 500, 180},\n\t\t{\"high_24h_60s\", 86400, 60, 1000, 120},\n\n\t\t// 2h job, 60s frequency, 120 total points — no resampling needed\n\t\t{\"low_2h_60s\", 7200, 60, 200, 0},\n\t\t{\"medium_2h_60s\", 7200, 60, 500, 0},\n\t\t{\"high_2h_60s\", 7200, 60, 1000, 0},\n\n\t\t// Edge: zero/negative inputs\n\t\t{\"zero_duration\", 0, 60, 200, 0},\n\t\t{\"zero_frequency\", 86400, 0, 200, 0},\n\t\t{\"zero_target\", 86400, 60, 0, 0},\n\t\t{\"negative_duration\", -100, 60, 200, 0},\n\n\t\t// 12h job, 30s frequency, 1440 total points\n\t\t{\"medium_12h_30s\", 43200, 30, 500, 90},\n\n\t\t// Exact fit: total points == target points\n\t\t{\"exact_fit\", 12000, 60, 200, 0},\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(tt.name, func(t *testing.T) {\n\t\t\tgot := ComputeResolution(tt.duration, tt.frequency, tt.targetPoints)\n\t\t\tif got != tt.want {\n\t\t\t\tt.Errorf(\"ComputeResolution(%d, %d, %d) = %d, want %d\",\n\t\t\t\t\ttt.duration, tt.frequency, tt.targetPoints, got, tt.want)\n\t\t\t}\n\t\t})\n\t}\n}\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":600,"cache_read_input_tokens":43851,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":600},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDhLixAKtC1171izy8tK","type":"assistant","uuid":"66c9e9d0-6d5f-4bae-acfc-657660d996f5","timestamp":"2026-03-20T04:25:01.231Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
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+{"parentUuid":"66c9e9d0-6d5f-4bae-acfc-657660d996f5","isSidechain":false,"promptId":"0763b03c-10c2-419e-8e69-b6ee9bffed71","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01P2NahxW7uRucwoTHS92nHR","type":"tool_result","content":"File created successfully at: /Users/jan/tmp/cc-backend/internal/metricdispatch/resamplepolicy_test.go"}]},"uuid":"ea664fb2-e266-49b5-860d-661deba8dccd","timestamp":"2026-03-20T04:25:01.245Z","toolUseResult":{"type":"create","filePath":"/Users/jan/tmp/cc-backend/internal/metricdispatch/resamplepolicy_test.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage metricdispatch\n\nimport \"testing\"\n\nfunc TestTargetPointsForPolicy(t *testing.T) {\n\ttests := []struct {\n\t\tpolicy ResamplePolicy\n\t\twant   int\n\t}{\n\t\t{ResamplePolicyLow, 200},\n\t\t{ResamplePolicyMedium, 500},\n\t\t{ResamplePolicyHigh, 1000},\n\t\t{ResamplePolicy(\"unknown\"), 0},\n\t\t{ResamplePolicy(\"\"), 0},\n\t}\n\n\tfor _, tt := range tests {\n\t\tif got := TargetPointsForPolicy(tt.policy); got != tt.want {\n\t\t\tt.Errorf(\"TargetPointsForPolicy(%q) = %d, want %d\", tt.policy, got, tt.want)\n\t\t}\n\t}\n}\n\nfunc TestComputeResolution(t *testing.T) {\n\ttests := []struct {\n\t\tname         string\n\t\tduration     int64\n\t\tfrequency    int64\n\t\ttargetPoints int\n\t\twant         int\n\t}{\n\t\t// 24h job, 60s frequency, 1440 total points\n\t\t{\"low_24h_60s\", 86400, 60, 200, 480},\n\t\t{\"medium_24h_60s\", 86400, 60, 500, 180},\n\t\t{\"high_24h_60s\", 86400, 60, 1000, 120},\n\n\t\t// 2h job, 60s frequency, 120 total points — no resampling needed\n\t\t{\"low_2h_60s\", 7200, 60, 200, 0},\n\t\t{\"medium_2h_60s\", 7200, 60, 500, 0},\n\t\t{\"high_2h_60s\", 7200, 60, 1000, 0},\n\n\t\t// Edge: zero/negative inputs\n\t\t{\"zero_duration\", 0, 60, 200, 0},\n\t\t{\"zero_frequency\", 86400, 0, 200, 0},\n\t\t{\"zero_target\", 86400, 60, 0, 0},\n\t\t{\"negative_duration\", -100, 60, 200, 0},\n\n\t\t// 12h job, 30s frequency, 1440 total points\n\t\t{\"medium_12h_30s\", 43200, 30, 500, 90},\n\n\t\t// Exact fit: total points == target points\n\t\t{\"exact_fit\", 12000, 60, 200, 0},\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(tt.name, func(t *testing.T) {\n\t\t\tgot := ComputeResolution(tt.duration, tt.frequency, tt.targetPoints)\n\t\t\tif got != tt.want {\n\t\t\t\tt.Errorf(\"ComputeResolution(%d, %d, %d) = %d, want %d\",\n\t\t\t\t\ttt.duration, tt.frequency, tt.targetPoints, got, tt.want)\n\t\t\t}\n\t\t})\n\t}\n}\n","structuredPatch":[],"originalFile":null},"sourceToolAssistantUUID":"66c9e9d0-6d5f-4bae-acfc-657660d996f5","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
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+{"parentUuid":"ea664fb2-e266-49b5-860d-661deba8dccd","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PvkSZXonAHab2VpQNcfEQB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01J1iYwngnbcQhphPEK41XBn","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/tmp/cc-backend/web/web.go","old_string":"type PlotConfiguration struct {\n\tColorBackground bool     `json:\"color-background\"`\n\tPlotsPerRow     int      `json:\"plots-per-row\"`\n\tLineWidth       int      `json:\"line-width\"`\n\tColorScheme     []string `json:\"color-scheme\"`\n}","new_string":"type PlotConfiguration struct {\n\tColorBackground bool     `json:\"color-background\"`\n\tPlotsPerRow     int      `json:\"plots-per-row\"`\n\tLineWidth       int      `json:\"line-width\"`\n\tColorScheme     []string `json:\"color-scheme\"`\n\tResampleAlgo    string   `json:\"resample-algo\"`\n\tResamplePolicy  string   `json:\"resample-policy\"`\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":600,"cache_read_input_tokens":43851,"output_tokens":1152,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":600,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDhLixAKtC1171izy8tK","type":"assistant","uuid":"57b0218b-8d35-406e-8277-572066b34f97","timestamp":"2026-03-20T04:25:03.428Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
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+{"parentUuid":"57b0218b-8d35-406e-8277-572066b34f97","isSidechain":false,"promptId":"0763b03c-10c2-419e-8e69-b6ee9bffed71","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01J1iYwngnbcQhphPEK41XBn","type":"tool_result","content":"The file /Users/jan/tmp/cc-backend/web/web.go has been updated successfully."}]},"uuid":"29d06cfa-c2c8-405b-969a-a74de03cbb9c","timestamp":"2026-03-20T04:25:03.445Z","toolUseResult":{"filePath":"/Users/jan/tmp/cc-backend/web/web.go","oldString":"type PlotConfiguration struct {\n\tColorBackground bool     `json:\"color-background\"`\n\tPlotsPerRow     int      `json:\"plots-per-row\"`\n\tLineWidth       int      `json:\"line-width\"`\n\tColorScheme     []string `json:\"color-scheme\"`\n}","newString":"type PlotConfiguration struct {\n\tColorBackground bool     `json:\"color-background\"`\n\tPlotsPerRow     int      `json:\"plots-per-row\"`\n\tLineWidth       int      `json:\"line-width\"`\n\tColorScheme     []string `json:\"color-scheme\"`\n\tResampleAlgo    string   `json:\"resample-algo\"`\n\tResamplePolicy  string   `json:\"resample-policy\"`\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package web implements the HTML templating and web frontend configuration\npackage web\n\nimport (\n\t\"embed\"\n\t\"encoding/json\"\n\t\"html/template\"\n\t\"io/fs\"\n\t\"net/http\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\ntype WebConfig struct {\n\tJobList           JobListConfig     `json:\"job-list\"`\n\tNodeList          NodeListConfig    `json:\"node-list\"`\n\tJobView           JobViewConfig     `json:\"job-view\"`\n\tMetricConfig      MetricConfig      `json:\"metric-config\"`\n\tPlotConfiguration PlotConfiguration `json:\"plot-configuration\"`\n}\n\ntype JobListConfig struct {\n\tUsePaging     bool `json:\"use-paging\"`\n\tShowFootprint bool `json:\"show-footprint\"`\n}\n\ntype NodeListConfig struct {\n\tUsePaging bool `json:\"use-paging\"`\n}\n\ntype JobViewConfig struct {\n\tShowPolarPlot bool `json:\"show-polar-plot\"`\n\tShowFootprint bool `json:\"show-footprint\"`\n\tShowRoofline  bool `json:\"show-roofline\"`\n\tShowStatTable bool `json:\"show-stat-table\"`\n}\n\ntype MetricConfig struct {\n\tJobListMetrics      []string        `json:\"job-list-metrics\"`\n\tJobViewPlotMetrics  []string        `json:\"job-view-plot-metrics\"`\n\tJobViewTableMetrics []string        `json:\"job-view-table-metrics\"`\n\tClusters            []ClusterConfig `json:\"clusters\"`\n}\n\ntype ClusterConfig struct {\n\tName                string             `json:\"name\"`\n\tJobListMetrics      []string           `json:\"job-list-metrics\"`\n\tJobViewPlotMetrics  []string           `json:\"job-view-plot-metrics\"`\n\tJobViewTableMetrics []string           `json:\"job-view-table-metrics\"`\n\tSubClusters         []SubClusterConfig `json:\"sub-clusters\"`\n}\n\ntype SubClusterConfig struct {\n\tName                string   `json:\"name\"`\n\tJobListMetrics      []string `json:\"job-list-metrics\"`\n\tJobViewPlotMetrics  []string `json:\"job-view-plot-metrics\"`\n\tJobViewTableMetrics []string `json:\"job-view-table-metrics\"`\n}\n\ntype PlotConfiguration struct {\n\tColorBackground bool     `json:\"color-background\"`\n\tPlotsPerRow     int      `json:\"plots-per-row\"`\n\tLineWidth       int      `json:\"line-width\"`\n\tColorScheme     []string `json:\"color-scheme\"`\n}\n\nvar UIDefaults = WebConfig{\n\tJobList: JobListConfig{\n\t\tUsePaging:     false,\n\t\tShowFootprint: false,\n\t},\n\tNodeList: NodeListConfig{\n\t\tUsePaging: false,\n\t},\n\tJobView: JobViewConfig{\n\t\tShowPolarPlot: true,\n\t\tShowFootprint: false,\n\t\tShowRoofline:  true,\n\t\tShowStatTable: true,\n\t},\n\tMetricConfig: MetricConfig{\n\t\tJobListMetrics:      []string{\"cpu_load\", \"flops_any\", \"mem_bw\", \"mem_used\"},\n\t\tJobViewPlotMetrics:  []string{\"cpu_load\", \"flops_any\", \"mem_bw\", \"mem_used\"},\n\t\tJobViewTableMetrics: []string{\"flops_any\", \"mem_bw\", \"mem_used\"},\n\t},\n\tPlotConfiguration: PlotConfiguration{\n\t\tColorBackground: true,\n\t\tPlotsPerRow:     3,\n\t\tLineWidth:       3,\n\t\tColorScheme:     []string{\"#00bfff\", \"#0000ff\", \"#ff00ff\", \"#ff0000\", \"#ff8000\", \"#ffff00\", \"#80ff00\"},\n\t},\n}\n\nvar UIDefaultsMap map[string]any\n\n//\n// \tmap[string]any{\n// \t\"analysis_view_histogramMetrics\":         []string{\"flops_any\", \"mem_bw\", \"mem_used\"},\n// \t\"analysis_view_scatterPlotMetrics\":       [][]string{{\"flops_any\", \"mem_bw\"}, {\"flops_any\", \"cpu_load\"}, {\"cpu_load\", \"mem_bw\"}},\n// \t\"job_view_nodestats_selectedMetrics\":     []string{\"flops_any\", \"mem_bw\", \"mem_used\"},\n// \t\"plot_list_jobsPerPage\":                  50,\n// \t\"analysis_view_selectedTopEntity\":        \"user\",\n// \t\"analysis_view_selectedTopCategory\":      \"totalWalltime\",\n// \t\"status_view_selectedTopUserCategory\":    \"totalJobs\",\n// \t\"status_view_selectedTopProjectCategory\": \"totalJobs\",\n// }\n\nfunc Init(rawConfig json.RawMessage) error {\n\tvar err error\n\n\tif rawConfig != nil {\n\t\tconfig.Validate(configSchema, rawConfig)\n\t\tif err = json.Unmarshal(rawConfig, &UIDefaults); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw config json\")\n\t\t\treturn err\n\t\t}\n\t}\n\n\tUIDefaultsMap = make(map[string]any)\n\n\tUIDefaultsMap[\"jobList_usePaging\"] = UIDefaults.JobList.UsePaging\n\tUIDefaultsMap[\"jobList_showFootprint\"] = UIDefaults.JobList.ShowFootprint\n\tUIDefaultsMap[\"nodeList_usePaging\"] = UIDefaults.NodeList.UsePaging\n\tUIDefaultsMap[\"jobView_showPolarPlot\"] = UIDefaults.JobView.ShowPolarPlot\n\tUIDefaultsMap[\"jobView_showFootprint\"] = UIDefaults.JobView.ShowFootprint\n\tUIDefaultsMap[\"jobView_showRoofline\"] = UIDefaults.JobView.ShowRoofline\n\tUIDefaultsMap[\"jobView_showStatTable\"] = UIDefaults.JobView.ShowStatTable\n\n\tUIDefaultsMap[\"metricConfig_jobListMetrics\"] = UIDefaults.MetricConfig.JobListMetrics\n\tUIDefaultsMap[\"metricConfig_jobViewPlotMetrics\"] = UIDefaults.MetricConfig.JobViewPlotMetrics\n\tUIDefaultsMap[\"metricConfig_jobViewTableMetrics\"] = UIDefaults.MetricConfig.JobViewTableMetrics\n\n\tUIDefaultsMap[\"plotConfiguration_colorBackground\"] = UIDefaults.PlotConfiguration.ColorBackground\n\tUIDefaultsMap[\"plotConfiguration_plotsPerRow\"] = UIDefaults.PlotConfiguration.PlotsPerRow\n\tUIDefaultsMap[\"plotConfiguration_lineWidth\"] = UIDefaults.PlotConfiguration.LineWidth\n\tUIDefaultsMap[\"plotConfiguration_colorScheme\"] = UIDefaults.PlotConfiguration.ColorScheme\n\n\tfor _, c := range UIDefaults.MetricConfig.Clusters {\n\t\tif c.JobListMetrics != nil {\n\t\t\tUIDefaultsMap[\"metricConfig_jobListMetrics:\"+c.Name] = c.JobListMetrics\n\t\t}\n\t\tif c.JobViewPlotMetrics != nil {\n\t\t\tUIDefaultsMap[\"metricConfig_jobViewPlotMetrics:\"+c.Name] = c.JobViewPlotMetrics\n\t\t}\n\t\tif c.JobViewTableMetrics != nil {\n\t\t\tUIDefaultsMap[\"metricConfig_jobViewTableMetrics:\"+c.Name] = c.JobViewTableMetrics\n\t\t}\n\n\t\tfor _, sc := range c.SubClusters {\n\t\t\tsuffix := strings.Join([]string{c.Name, sc.Name}, \":\")\n\t\t\tif sc.JobListMetrics != nil {\n\t\t\t\tUIDefaultsMap[\"metricConfig_jobListMetrics:\"+suffix] = sc.JobListMetrics\n\t\t\t}\n\t\t\tif sc.JobViewPlotMetrics != nil {\n\t\t\t\tUIDefaultsMap[\"metricConfig_jobViewPlotMetrics:\"+suffix] = sc.JobViewPlotMetrics\n\t\t\t}\n\t\t\tif sc.JobViewTableMetrics != nil {\n\t\t\t\tUIDefaultsMap[\"metricConfig_jobViewTableMetrics:\"+suffix] = sc.JobViewTableMetrics\n\t\t\t}\n\t\t}\n\t}\n\n\treturn err\n}\n\n// / Go's embed is only allowed to embed files in a subdirectory of the embedding package ([see here](https://github.com/golang/go/issues/46056)).\n//\n//go:embed frontend/public/*\nvar frontendFiles embed.FS\n\nfunc ServeFiles() http.Handler {\n\tpublicFiles, err := fs.Sub(frontendFiles, \"frontend/public\")\n\tif err != nil {\n\t\tcclog.Abortf(\"Serve Files: Could not find 'frontend/public' file directory.\\nError: %s\\n\", err.Error())\n\t}\n\treturn http.FileServer(http.FS(publicFiles))\n}\n\n// StaticFileExists checks whether a static file exists in the embedded frontend FS.\nfunc StaticFileExists(path string) bool {\n\tpath = strings.TrimPrefix(path, \"/\")\n\tif path == \"\" {\n\t\treturn false\n\t}\n\t_, err := fs.Stat(frontendFiles, \"frontend/public/\"+path)\n\treturn err == nil\n}\n\n//go:embed templates/*\nvar templateFiles embed.FS\n\nvar templates map[string]*template.Template = map[string]*template.Template{}\n\nfunc init() {\n\tbase := template.Must(template.ParseFS(templateFiles, \"templates/base.tmpl\"))\n\tif err := fs.WalkDir(templateFiles, \"templates\", func(path string, d fs.DirEntry, err error) error {\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif d.IsDir() || path == \"templates/base.tmpl\" {\n\t\t\treturn nil\n\t\t}\n\n\t\tif path == \"templates/404.tmpl\" {\n\t\t\ttemplates[strings.TrimPrefix(path, \"templates/\")] = template.Must(template.ParseFS(templateFiles, path))\n\t\t\treturn nil\n\t\t}\n\t\tif path == \"templates/login.tmpl\" {\n\t\t\tif util.CheckFileExists(\"./var/login.tmpl\") {\n\t\t\t\tcclog.Info(\"overwrite login.tmpl with local file\")\n\t\t\t\ttemplates[strings.TrimPrefix(path, \"templates/\")] = template.Must(template.Must(base.Clone()).ParseFiles(\"./var/login.tmpl\"))\n\t\t\t\treturn nil\n\t\t\t}\n\t\t}\n\t\tif path == \"templates/imprint.tmpl\" {\n\t\t\tif util.CheckFileExists(\"./var/imprint.tmpl\") {\n\t\t\t\tcclog.Info(\"overwrite imprint.tmpl with local file\")\n\t\t\t\ttemplates[strings.TrimPrefix(path, \"templates/\")] = template.Must(template.Must(base.Clone()).ParseFiles(\"./var/imprint.tmpl\"))\n\t\t\t\treturn nil\n\t\t\t}\n\t\t}\n\t\tif path == \"templates/privacy.tmpl\" {\n\t\t\tif util.CheckFileExists(\"./var/privacy.tmpl\") {\n\t\t\t\tcclog.Info(\"overwrite privacy.tmpl with local file\")\n\t\t\t\ttemplates[strings.TrimPrefix(path, \"templates/\")] = template.Must(template.Must(base.Clone()).ParseFiles(\"./var/privacy.tmpl\"))\n\t\t\t\treturn nil\n\t\t\t}\n\t\t}\n\n\t\ttemplates[strings.TrimPrefix(path, \"templates/\")] = template.Must(template.Must(base.Clone()).ParseFS(templateFiles, path))\n\t\treturn nil\n\t}); err != nil {\n\t\tcclog.Abortf(\"Web init(): Could not find frontend template files.\\nError: %s\\n\", err.Error())\n\t}\n\n\t_ = base\n}\n\ntype Build struct {\n\tVersion   string\n\tHash      string\n\tBuildtime string\n}\n\ntype Page struct {\n\tTitle         string                 // Page title\n\tMsgType       string                 // For generic use in message boxes\n\tMessage       string                 // For generic use in message boxes\n\tUser          schema.User            // Information about the currently logged in user (Full User Info)\n\tRoles         map[string]schema.Role // Available roles for frontend render checks\n\tBuild         Build                  // Latest information about the application\n\tClusters      []string               // List of all cluster names\n\tSubClusters   map[string][]string    // Map per cluster of all subClusters for use in the Header\n\tFilterPresets map[string]any         // For pages with the Filter component, this can be used to set initial filters.\n\tInfos         map[string]any         // For generic use (e.g. username for /monitoring/user/<id>, job id for /monitoring/job/<id>)\n\tConfig        map[string]any         // UI settings for the currently logged in user (e.g. line width, ...)\n\tResampling    *config.ResampleConfig // If not nil, defines resampling trigger and resolutions\n\tRedirect      string                 // The originally requested URL, for intermediate login handling\n}\n\nfunc RenderTemplate(rw http.ResponseWriter, file string, page *Page) {\n\tt, ok := templates[file]\n\tif !ok {\n\t\tcclog.Errorf(\"WEB/WEB > template '%s' not found\", file)\n\t}\n\n\tif page.Clusters == nil {\n\t\tpage.Clusters = make([]string, 0)\n\t}\n\n\tif page.SubClusters == nil {\n\t\tpage.SubClusters = make(map[string][]string)\n\t\tfor _, cluster := range archive.Clusters {\n\t\t\tpage.Clusters = append(page.Clusters, cluster.Name)\n\n\t\t\tfor _, sc := range cluster.SubClusters {\n\t\t\t\tpage.SubClusters[cluster.Name] = append(page.SubClusters[cluster.Name], sc.Name)\n\t\t\t}\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Page config : %v\\n\", page.Config)\n\tif err := t.Execute(rw, page); err != nil {\n\t\tcclog.Errorf(\"Template error: %s\", err.Error())\n\t}\n}\n","structuredPatch":[{"oldStart":72,"oldLines":6,"newStart":72,"newLines":8,"lines":["   PlotsPerRow     int      `json:\"plots-per-row\"`","   LineWidth       int      `json:\"line-width\"`","   ColorScheme     []string `json:\"color-scheme\"`","+  ResampleAlgo    string   `json:\"resample-algo\"`","+  ResamplePolicy  string   `json:\"resample-policy\"`"," }"," "," var UIDefaults = WebConfig{"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"57b0218b-8d35-406e-8277-572066b34f97","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"29d06cfa-c2c8-405b-969a-a74de03cbb9c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01DgXnggSmX9pucQ9QXoX7Bd","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GDLtihHqFkWUagKob5f3mX","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/tmp/cc-backend/web/web.go","old_string":"\tUIDefaultsMap[\"plotConfiguration_colorScheme\"] = UIDefaults.PlotConfiguration.ColorScheme","new_string":"\tUIDefaultsMap[\"plotConfiguration_colorScheme\"] = UIDefaults.PlotConfiguration.ColorScheme\n\tUIDefaultsMap[\"plotConfiguration_resampleAlgo\"] = UIDefaults.PlotConfiguration.ResampleAlgo\n\tUIDefaultsMap[\"plotConfiguration_resamplePolicy\"] = UIDefaults.PlotConfiguration.ResamplePolicy"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1395,"cache_read_input_tokens":44451,"output_tokens":208,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1395,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDhMtQi6JFcf5Qck6JBb","type":"assistant","uuid":"125d5016-fa4d-4c57-ae49-3f29681daa9e","timestamp":"2026-03-20T04:25:07.259Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"125d5016-fa4d-4c57-ae49-3f29681daa9e","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01GDLtihHqFkWUagKob5f3mX","toolUseID":"toolu_01GDLtihHqFkWUagKob5f3mX","timestamp":"2026-03-20T04:25:07.279Z","uuid":"1c17ec89-2a83-4606-a95b-eadfdf49969e","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"125d5016-fa4d-4c57-ae49-3f29681daa9e","isSidechain":false,"promptId":"0763b03c-10c2-419e-8e69-b6ee9bffed71","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GDLtihHqFkWUagKob5f3mX","type":"tool_result","content":"The file /Users/jan/tmp/cc-backend/web/web.go has been updated successfully."}]},"uuid":"7901a8ed-baaa-4491-a6be-0efe01f30142","timestamp":"2026-03-20T04:25:07.279Z","toolUseResult":{"filePath":"/Users/jan/tmp/cc-backend/web/web.go","oldString":"\tUIDefaultsMap[\"plotConfiguration_colorScheme\"] = UIDefaults.PlotConfiguration.ColorScheme","newString":"\tUIDefaultsMap[\"plotConfiguration_colorScheme\"] = UIDefaults.PlotConfiguration.ColorScheme\n\tUIDefaultsMap[\"plotConfiguration_resampleAlgo\"] = UIDefaults.PlotConfiguration.ResampleAlgo\n\tUIDefaultsMap[\"plotConfiguration_resamplePolicy\"] = UIDefaults.PlotConfiguration.ResamplePolicy","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package web implements the HTML templating and web frontend configuration\npackage web\n\nimport (\n\t\"embed\"\n\t\"encoding/json\"\n\t\"html/template\"\n\t\"io/fs\"\n\t\"net/http\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\ntype WebConfig struct {\n\tJobList           JobListConfig     `json:\"job-list\"`\n\tNodeList          NodeListConfig    `json:\"node-list\"`\n\tJobView           JobViewConfig     `json:\"job-view\"`\n\tMetricConfig      MetricConfig      `json:\"metric-config\"`\n\tPlotConfiguration PlotConfiguration `json:\"plot-configuration\"`\n}\n\ntype JobListConfig struct {\n\tUsePaging     bool `json:\"use-paging\"`\n\tShowFootprint bool `json:\"show-footprint\"`\n}\n\ntype NodeListConfig struct {\n\tUsePaging bool `json:\"use-paging\"`\n}\n\ntype JobViewConfig struct {\n\tShowPolarPlot bool `json:\"show-polar-plot\"`\n\tShowFootprint bool `json:\"show-footprint\"`\n\tShowRoofline  bool `json:\"show-roofline\"`\n\tShowStatTable bool `json:\"show-stat-table\"`\n}\n\ntype MetricConfig struct {\n\tJobListMetrics      []string        `json:\"job-list-metrics\"`\n\tJobViewPlotMetrics  []string        `json:\"job-view-plot-metrics\"`\n\tJobViewTableMetrics []string        `json:\"job-view-table-metrics\"`\n\tClusters            []ClusterConfig `json:\"clusters\"`\n}\n\ntype ClusterConfig struct {\n\tName                string             `json:\"name\"`\n\tJobListMetrics      []string           `json:\"job-list-metrics\"`\n\tJobViewPlotMetrics  []string           `json:\"job-view-plot-metrics\"`\n\tJobViewTableMetrics []string           `json:\"job-view-table-metrics\"`\n\tSubClusters         []SubClusterConfig `json:\"sub-clusters\"`\n}\n\ntype SubClusterConfig struct {\n\tName                string   `json:\"name\"`\n\tJobListMetrics      []string `json:\"job-list-metrics\"`\n\tJobViewPlotMetrics  []string `json:\"job-view-plot-metrics\"`\n\tJobViewTableMetrics []string `json:\"job-view-table-metrics\"`\n}\n\ntype PlotConfiguration struct {\n\tColorBackground bool     `json:\"color-background\"`\n\tPlotsPerRow     int      `json:\"plots-per-row\"`\n\tLineWidth       int      `json:\"line-width\"`\n\tColorScheme     []string `json:\"color-scheme\"`\n\tResampleAlgo    string   `json:\"resample-algo\"`\n\tResamplePolicy  string   `json:\"resample-policy\"`\n}\n\nvar UIDefaults = WebConfig{\n\tJobList: JobListConfig{\n\t\tUsePaging:     false,\n\t\tShowFootprint: false,\n\t},\n\tNodeList: NodeListConfig{\n\t\tUsePaging: false,\n\t},\n\tJobView: JobViewConfig{\n\t\tShowPolarPlot: true,\n\t\tShowFootprint: false,\n\t\tShowRoofline:  true,\n\t\tShowStatTable: true,\n\t},\n\tMetricConfig: MetricConfig{\n\t\tJobListMetrics:      []string{\"cpu_load\", \"flops_any\", \"mem_bw\", \"mem_used\"},\n\t\tJobViewPlotMetrics:  []string{\"cpu_load\", \"flops_any\", \"mem_bw\", \"mem_used\"},\n\t\tJobViewTableMetrics: []string{\"flops_any\", \"mem_bw\", \"mem_used\"},\n\t},\n\tPlotConfiguration: PlotConfiguration{\n\t\tColorBackground: true,\n\t\tPlotsPerRow:     3,\n\t\tLineWidth:       3,\n\t\tColorScheme:     []string{\"#00bfff\", \"#0000ff\", \"#ff00ff\", \"#ff0000\", \"#ff8000\", \"#ffff00\", \"#80ff00\"},\n\t},\n}\n\nvar UIDefaultsMap map[string]any\n\n//\n// \tmap[string]any{\n// \t\"analysis_view_histogramMetrics\":         []string{\"flops_any\", \"mem_bw\", \"mem_used\"},\n// \t\"analysis_view_scatterPlotMetrics\":       [][]string{{\"flops_any\", \"mem_bw\"}, {\"flops_any\", \"cpu_load\"}, {\"cpu_load\", \"mem_bw\"}},\n// \t\"job_view_nodestats_selectedMetrics\":     []string{\"flops_any\", \"mem_bw\", \"mem_used\"},\n// \t\"plot_list_jobsPerPage\":                  50,\n// \t\"analysis_view_selectedTopEntity\":        \"user\",\n// \t\"analysis_view_selectedTopCategory\":      \"totalWalltime\",\n// \t\"status_view_selectedTopUserCategory\":    \"totalJobs\",\n// \t\"status_view_selectedTopProjectCategory\": \"totalJobs\",\n// }\n\nfunc Init(rawConfig json.RawMessage) error {\n\tvar err error\n\n\tif rawConfig != nil {\n\t\tconfig.Validate(configSchema, rawConfig)\n\t\tif err = json.Unmarshal(rawConfig, &UIDefaults); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw config json\")\n\t\t\treturn err\n\t\t}\n\t}\n\n\tUIDefaultsMap = make(map[string]any)\n\n\tUIDefaultsMap[\"jobList_usePaging\"] = UIDefaults.JobList.UsePaging\n\tUIDefaultsMap[\"jobList_showFootprint\"] = UIDefaults.JobList.ShowFootprint\n\tUIDefaultsMap[\"nodeList_usePaging\"] = UIDefaults.NodeList.UsePaging\n\tUIDefaultsMap[\"jobView_showPolarPlot\"] = UIDefaults.JobView.ShowPolarPlot\n\tUIDefaultsMap[\"jobView_showFootprint\"] = UIDefaults.JobView.ShowFootprint\n\tUIDefaultsMap[\"jobView_showRoofline\"] = UIDefaults.JobView.ShowRoofline\n\tUIDefaultsMap[\"jobView_showStatTable\"] = UIDefaults.JobView.ShowStatTable\n\n\tUIDefaultsMap[\"metricConfig_jobListMetrics\"] = UIDefaults.MetricConfig.JobListMetrics\n\tUIDefaultsMap[\"metricConfig_jobViewPlotMetrics\"] = UIDefaults.MetricConfig.JobViewPlotMetrics\n\tUIDefaultsMap[\"metricConfig_jobViewTableMetrics\"] = UIDefaults.MetricConfig.JobViewTableMetrics\n\n\tUIDefaultsMap[\"plotConfiguration_colorBackground\"] = UIDefaults.PlotConfiguration.ColorBackground\n\tUIDefaultsMap[\"plotConfiguration_plotsPerRow\"] = UIDefaults.PlotConfiguration.PlotsPerRow\n\tUIDefaultsMap[\"plotConfiguration_lineWidth\"] = UIDefaults.PlotConfiguration.LineWidth\n\tUIDefaultsMap[\"plotConfiguration_colorScheme\"] = UIDefaults.PlotConfiguration.ColorScheme\n\n\tfor _, c := range UIDefaults.MetricConfig.Clusters {\n\t\tif c.JobListMetrics != nil {\n\t\t\tUIDefaultsMap[\"metricConfig_jobListMetrics:\"+c.Name] = c.JobListMetrics\n\t\t}\n\t\tif c.JobViewPlotMetrics != nil {\n\t\t\tUIDefaultsMap[\"metricConfig_jobViewPlotMetrics:\"+c.Name] = c.JobViewPlotMetrics\n\t\t}\n\t\tif c.JobViewTableMetrics != nil {\n\t\t\tUIDefaultsMap[\"metricConfig_jobViewTableMetrics:\"+c.Name] = c.JobViewTableMetrics\n\t\t}\n\n\t\tfor _, sc := range c.SubClusters {\n\t\t\tsuffix := strings.Join([]string{c.Name, sc.Name}, \":\")\n\t\t\tif sc.JobListMetrics != nil {\n\t\t\t\tUIDefaultsMap[\"metricConfig_jobListMetrics:\"+suffix] = sc.JobListMetrics\n\t\t\t}\n\t\t\tif sc.JobViewPlotMetrics != nil {\n\t\t\t\tUIDefaultsMap[\"metricConfig_jobViewPlotMetrics:\"+suffix] = sc.JobViewPlotMetrics\n\t\t\t}\n\t\t\tif sc.JobViewTableMetrics != nil {\n\t\t\t\tUIDefaultsMap[\"metricConfig_jobViewTableMetrics:\"+suffix] = sc.JobViewTableMetrics\n\t\t\t}\n\t\t}\n\t}\n\n\treturn err\n}\n\n// / Go's embed is only allowed to embed files in a subdirectory of the embedding package ([see here](https://github.com/golang/go/issues/46056)).\n//\n//go:embed frontend/public/*\nvar frontendFiles embed.FS\n\nfunc ServeFiles() http.Handler {\n\tpublicFiles, err := fs.Sub(frontendFiles, \"frontend/public\")\n\tif err != nil {\n\t\tcclog.Abortf(\"Serve Files: Could not find 'frontend/public' file directory.\\nError: %s\\n\", err.Error())\n\t}\n\treturn http.FileServer(http.FS(publicFiles))\n}\n\n// StaticFileExists checks whether a static file exists in the embedded frontend FS.\nfunc StaticFileExists(path string) bool {\n\tpath = strings.TrimPrefix(path, \"/\")\n\tif path == \"\" {\n\t\treturn false\n\t}\n\t_, err := fs.Stat(frontendFiles, \"frontend/public/\"+path)\n\treturn err == nil\n}\n\n//go:embed templates/*\nvar templateFiles embed.FS\n\nvar templates map[string]*template.Template = map[string]*template.Template{}\n\nfunc init() {\n\tbase := template.Must(template.ParseFS(templateFiles, \"templates/base.tmpl\"))\n\tif err := fs.WalkDir(templateFiles, \"templates\", func(path string, d fs.DirEntry, err error) error {\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif d.IsDir() || path == \"templates/base.tmpl\" {\n\t\t\treturn nil\n\t\t}\n\n\t\tif path == \"templates/404.tmpl\" {\n\t\t\ttemplates[strings.TrimPrefix(path, \"templates/\")] = template.Must(template.ParseFS(templateFiles, path))\n\t\t\treturn nil\n\t\t}\n\t\tif path == \"templates/login.tmpl\" {\n\t\t\tif util.CheckFileExists(\"./var/login.tmpl\") {\n\t\t\t\tcclog.Info(\"overwrite login.tmpl with local file\")\n\t\t\t\ttemplates[strings.TrimPrefix(path, \"templates/\")] = template.Must(template.Must(base.Clone()).ParseFiles(\"./var/login.tmpl\"))\n\t\t\t\treturn nil\n\t\t\t}\n\t\t}\n\t\tif path == \"templates/imprint.tmpl\" {\n\t\t\tif util.CheckFileExists(\"./var/imprint.tmpl\") {\n\t\t\t\tcclog.Info(\"overwrite imprint.tmpl with local file\")\n\t\t\t\ttemplates[strings.TrimPrefix(path, \"templates/\")] = template.Must(template.Must(base.Clone()).ParseFiles(\"./var/imprint.tmpl\"))\n\t\t\t\treturn nil\n\t\t\t}\n\t\t}\n\t\tif path == \"templates/privacy.tmpl\" {\n\t\t\tif util.CheckFileExists(\"./var/privacy.tmpl\") {\n\t\t\t\tcclog.Info(\"overwrite privacy.tmpl with local file\")\n\t\t\t\ttemplates[strings.TrimPrefix(path, \"templates/\")] = template.Must(template.Must(base.Clone()).ParseFiles(\"./var/privacy.tmpl\"))\n\t\t\t\treturn nil\n\t\t\t}\n\t\t}\n\n\t\ttemplates[strings.TrimPrefix(path, \"templates/\")] = template.Must(template.Must(base.Clone()).ParseFS(templateFiles, path))\n\t\treturn nil\n\t}); err != nil {\n\t\tcclog.Abortf(\"Web init(): Could not find frontend template files.\\nError: %s\\n\", err.Error())\n\t}\n\n\t_ = base\n}\n\ntype Build struct {\n\tVersion   string\n\tHash      string\n\tBuildtime string\n}\n\ntype Page struct {\n\tTitle         string                 // Page title\n\tMsgType       string                 // For generic use in message boxes\n\tMessage       string                 // For generic use in message boxes\n\tUser          schema.User            // Information about the currently logged in user (Full User Info)\n\tRoles         map[string]schema.Role // Available roles for frontend render checks\n\tBuild         Build                  // Latest information about the application\n\tClusters      []string               // List of all cluster names\n\tSubClusters   map[string][]string    // Map per cluster of all subClusters for use in the Header\n\tFilterPresets map[string]any         // For pages with the Filter component, this can be used to set initial filters.\n\tInfos         map[string]any         // For generic use (e.g. username for /monitoring/user/<id>, job id for /monitoring/job/<id>)\n\tConfig        map[string]any         // UI settings for the currently logged in user (e.g. line width, ...)\n\tResampling    *config.ResampleConfig // If not nil, defines resampling trigger and resolutions\n\tRedirect      string                 // The originally requested URL, for intermediate login handling\n}\n\nfunc RenderTemplate(rw http.ResponseWriter, file string, page *Page) {\n\tt, ok := templates[file]\n\tif !ok {\n\t\tcclog.Errorf(\"WEB/WEB > template '%s' not found\", file)\n\t}\n\n\tif page.Clusters == nil {\n\t\tpage.Clusters = make([]string, 0)\n\t}\n\n\tif page.SubClusters == nil {\n\t\tpage.SubClusters = make(map[string][]string)\n\t\tfor _, cluster := range archive.Clusters {\n\t\t\tpage.Clusters = append(page.Clusters, cluster.Name)\n\n\t\t\tfor _, sc := range cluster.SubClusters {\n\t\t\t\tpage.SubClusters[cluster.Name] = append(page.SubClusters[cluster.Name], sc.Name)\n\t\t\t}\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Page config : %v\\n\", page.Config)\n\tif err := t.Execute(rw, page); err != nil {\n\t\tcclog.Errorf(\"Template error: %s\", err.Error())\n\t}\n}\n","structuredPatch":[{"oldStart":146,"oldLines":6,"newStart":146,"newLines":8,"lines":["   UIDefaultsMap[\"plotConfiguration_plotsPerRow\"] = UIDefaults.PlotConfiguration.PlotsPerRow","   UIDefaultsMap[\"plotConfiguration_lineWidth\"] = UIDefaults.PlotConfiguration.LineWidth","   UIDefaultsMap[\"plotConfiguration_colorScheme\"] = UIDefaults.PlotConfiguration.ColorScheme","+  UIDefaultsMap[\"plotConfiguration_resampleAlgo\"] = UIDefaults.PlotConfiguration.ResampleAlgo","+  UIDefaultsMap[\"plotConfiguration_resamplePolicy\"] = UIDefaults.PlotConfiguration.ResamplePolicy"," ","   for _, c := range UIDefaults.MetricConfig.Clusters {","     if c.JobListMetrics != nil {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"125d5016-fa4d-4c57-ae49-3f29681daa9e","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"7901a8ed-baaa-4491-a6be-0efe01f30142","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01DptbLfmaZs4naeQYmkSSNr","type":"message","role":"assistant","content":[{"type":"text","text":"Now update the resolvers. First, let me check what imports are at the top of `schema.resolvers.go`."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":261,"cache_read_input_tokens":45846,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":261},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDhNAnCpgmRt91StVbRT","type":"assistant","uuid":"f5526dfb-29ed-4fb0-97df-bf60d661beb1","timestamp":"2026-03-20T04:25:10.430Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"f5526dfb-29ed-4fb0-97df-bf60d661beb1","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01DptbLfmaZs4naeQYmkSSNr","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01X4MZEPfeTPSBQvEgFiBCkL","name":"Read","input":{"file_path":"/Users/jan/tmp/cc-backend/internal/graph/schema.resolvers.go","limit":30},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":261,"cache_read_input_tokens":45846,"output_tokens":117,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":261,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDhNAnCpgmRt91StVbRT","type":"assistant","uuid":"1c35708b-ae63-4d50-a804-d809a9d2f84d","timestamp":"2026-03-20T04:25:10.866Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"1c35708b-ae63-4d50-a804-d809a9d2f84d","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01X4MZEPfeTPSBQvEgFiBCkL","toolUseID":"toolu_01X4MZEPfeTPSBQvEgFiBCkL","timestamp":"2026-03-20T04:25:10.872Z","uuid":"d0cc1607-94ab-4566-bf33-faed4f5acd43","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"1c35708b-ae63-4d50-a804-d809a9d2f84d","isSidechain":false,"promptId":"0763b03c-10c2-419e-8e69-b6ee9bffed71","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01X4MZEPfeTPSBQvEgFiBCkL","type":"tool_result","content":"     1→package graph\n     2→\n     3→// This file will be automatically regenerated based on the schema, any resolver\n     4→// implementations\n     5→// will be copied through when generating and any unknown code will be moved to the end.\n     6→// Code generated by github.com/99designs/gqlgen version v0.17.88\n     7→\n     8→import (\n     9→\t\"context\"\n    10→\t\"errors\"\n    11→\t\"fmt\"\n    12→\t\"math\"\n    13→\t\"regexp\"\n    14→\t\"slices\"\n    15→\t\"strconv\"\n    16→\t\"strings\"\n    17→\t\"time\"\n    18→\n    19→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    20→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n    21→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    22→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n    23→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    24→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n    25→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    26→\tccunit \"github.com/ClusterCockpit/cc-lib/v2/ccUnits\"\n    27→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    28→)\n    29→\n    30→// Partitions is the resolver for the partitions field."}]},"uuid":"ed87ae20-ddf9-4ab3-a3f0-5c5a64d2768c","timestamp":"2026-03-20T04:25:10.872Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/internal/graph/schema.resolvers.go","content":"package graph\n\n// This file will be automatically regenerated based on the schema, any resolver\n// implementations\n// will be copied through when generating and any unknown code will be moved to the end.\n// Code generated by github.com/99designs/gqlgen version v0.17.88\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"math\"\n\t\"regexp\"\n\t\"slices\"\n\t\"strconv\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tccunit \"github.com/ClusterCockpit/cc-lib/v2/ccUnits\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Partitions is the resolver for the partitions field.","numLines":30,"startLine":1,"totalLines":1087}},"sourceToolAssistantUUID":"1c35708b-ae63-4d50-a804-d809a9d2f84d","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"ed87ae20-ddf9-4ab3-a3f0-5c5a64d2768c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01XBmw4rsDE7ZGFGQjGrS3pP","type":"message","role":"assistant","content":[{"type":"text","text":"Good, `metricdispatch` and `repository` are already imported. Now update the `JobMetrics` resolver."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":557,"cache_read_input_tokens":46107,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":557},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDhNSXVzT9E26jUvW2zL","type":"assistant","uuid":"ddca365b-d1e8-40d0-833d-f7055591acf0","timestamp":"2026-03-20T04:25:14.524Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"type":"file-history-snapshot","messageId":"d8905db5-378a-4fda-8317-97d995f83622","snapshot":{"messageId":"00a69c33-3e52-4c96-af2e-eab1ad975e2a","trackedFileBackups":{"internal/metricdispatch/resamplepolicy.go":{"backupFileName":null,"version":1,"backupTime":"2026-03-20T04:24:47.206Z"},"internal/metricdispatch/resamplepolicy_test.go":{"backupFileName":null,"version":1,"backupTime":"2026-03-20T04:25:01.244Z"},"web/web.go":{"backupFileName":"a22e818c3209ae40@v1","version":1,"backupTime":"2026-03-20T04:25:03.443Z"},"internal/graph/schema.resolvers.go":{"backupFileName":"ff42fed0123ceae0@v1","version":1,"backupTime":"2026-03-20T04:25:23.096Z"}},"timestamp":"2026-03-20T04:23:54.140Z"},"isSnapshotUpdate":true}
+{"parentUuid":"ddca365b-d1e8-40d0-833d-f7055591acf0","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01XBmw4rsDE7ZGFGQjGrS3pP","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UaUFrXgaYjvxKbzYncFUde","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/tmp/cc-backend/internal/graph/schema.resolvers.go","old_string":"// JobMetrics is the resolver for the jobMetrics field.\nfunc (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int, resampleAlgo *model.ResampleAlgo) ([]*model.JobMetricWithName, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying job for metrics\")\n\t\treturn nil, err\n\t}\n\n\talgoName := \"\"\n\tif resampleAlgo != nil {\n\t\talgoName = strings.ToLower(resampleAlgo.String())\n\t}","new_string":"// JobMetrics is the resolver for the jobMetrics field.\nfunc (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int, resampleAlgo *model.ResampleAlgo) ([]*model.JobMetricWithName, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying job for metrics\")\n\t\treturn nil, err\n\t}\n\n\t// Resolve resolution: explicit param > user policy > global config > 0\n\tif resolution == nil {\n\t\tresolution = resolveResolutionFromPolicy(ctx, job.Duration, job.Cluster, metrics)\n\t}\n\tif resolution == nil {\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else {\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\talgoName := resolveResampleAlgo(ctx, resampleAlgo)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":557,"cache_read_input_tokens":46107,"output_tokens":683,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":557,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDhNSXVzT9E26jUvW2zL","type":"assistant","uuid":"d8905db5-378a-4fda-8317-97d995f83622","timestamp":"2026-03-20T04:25:23.081Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"d8905db5-378a-4fda-8317-97d995f83622","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01UaUFrXgaYjvxKbzYncFUde","toolUseID":"toolu_01UaUFrXgaYjvxKbzYncFUde","timestamp":"2026-03-20T04:25:23.099Z","uuid":"ce3ac3ec-e547-488a-8110-a0071eacdec9","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"d8905db5-378a-4fda-8317-97d995f83622","isSidechain":false,"promptId":"0763b03c-10c2-419e-8e69-b6ee9bffed71","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UaUFrXgaYjvxKbzYncFUde","type":"tool_result","content":"The file /Users/jan/tmp/cc-backend/internal/graph/schema.resolvers.go has been updated successfully."}]},"uuid":"3ad73fc2-a0c0-44a3-b410-01f750916d94","timestamp":"2026-03-20T04:25:23.099Z","toolUseResult":{"filePath":"/Users/jan/tmp/cc-backend/internal/graph/schema.resolvers.go","oldString":"// JobMetrics is the resolver for the jobMetrics field.\nfunc (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int, resampleAlgo *model.ResampleAlgo) ([]*model.JobMetricWithName, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying job for metrics\")\n\t\treturn nil, err\n\t}\n\n\talgoName := \"\"\n\tif resampleAlgo != nil {\n\t\talgoName = strings.ToLower(resampleAlgo.String())\n\t}","newString":"// JobMetrics is the resolver for the jobMetrics field.\nfunc (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int, resampleAlgo *model.ResampleAlgo) ([]*model.JobMetricWithName, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying job for metrics\")\n\t\treturn nil, err\n\t}\n\n\t// Resolve resolution: explicit param > user policy > global config > 0\n\tif resolution == nil {\n\t\tresolution = resolveResolutionFromPolicy(ctx, job.Duration, job.Cluster, metrics)\n\t}\n\tif resolution == nil {\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else {\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\talgoName := resolveResampleAlgo(ctx, resampleAlgo)","originalFile":"package graph\n\n// This file will be automatically regenerated based on the schema, any resolver\n// implementations\n// will be copied through when generating and any unknown code will be moved to the end.\n// Code generated by github.com/99designs/gqlgen version v0.17.88\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"math\"\n\t\"regexp\"\n\t\"slices\"\n\t\"strconv\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tccunit \"github.com/ClusterCockpit/cc-lib/v2/ccUnits\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Partitions is the resolver for the partitions field.\nfunc (r *clusterResolver) Partitions(ctx context.Context, obj *schema.Cluster) ([]string, error) {\n\treturn r.Repo.Partitions(obj.Name)\n}\n\n// StartTime is the resolver for the startTime field.\nfunc (r *jobResolver) StartTime(ctx context.Context, obj *schema.Job) (*time.Time, error) {\n\ttimestamp := time.Unix(obj.StartTime, 0)\n\treturn &timestamp, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *jobResolver) Tags(ctx context.Context, obj *schema.Job) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), obj.ID)\n}\n\n// ConcurrentJobs is the resolver for the concurrentJobs field.\nfunc (r *jobResolver) ConcurrentJobs(ctx context.Context, obj *schema.Job) (*model.JobLinkResultList, error) {\n\t// FIXME: Make the hardcoded duration configurable\n\tif obj.Shared != \"none\" && obj.Duration > 600 {\n\t\treturn r.Repo.FindConcurrentJobs(ctx, obj)\n\t}\n\n\treturn nil, nil\n}\n\n// Footprint is the resolver for the footprint field.\nfunc (r *jobResolver) Footprint(ctx context.Context, obj *schema.Job) ([]*model.FootprintValue, error) {\n\trawFootprint, err := r.Repo.FetchFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.FootprintValue{}\n\tfor name, value := range rawFootprint {\n\n\t\tparts := strings.Split(name, \"_\")\n\t\tstatPart := parts[len(parts)-1]\n\t\tnameParts := parts[:len(parts)-1]\n\n\t\tres = append(res, &model.FootprintValue{\n\t\t\tName:  strings.Join(nameParts, \"_\"),\n\t\t\tStat:  statPart,\n\t\t\tValue: value,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// EnergyFootprint is the resolver for the energyFootprint field.\nfunc (r *jobResolver) EnergyFootprint(ctx context.Context, obj *schema.Job) ([]*model.EnergyFootprintValue, error) {\n\trawEnergyFootprint, err := r.Repo.FetchEnergyFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job energy footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.EnergyFootprintValue{}\n\tfor name, value := range rawEnergyFootprint {\n\t\t// Suboptimal: Nearly hardcoded metric name expectations\n\t\tmatchCPU := regexp.MustCompile(`cpu|Cpu|CPU`)\n\t\tmatchAcc := regexp.MustCompile(`acc|Acc|ACC`)\n\t\tmatchMem := regexp.MustCompile(`mem|Mem|MEM`)\n\t\tmatchCore := regexp.MustCompile(`core|Core|CORE`)\n\n\t\thwType := \"\"\n\t\tswitch test := name; { // NOtice ';' for var declaration\n\t\tcase matchCPU.MatchString(test):\n\t\t\thwType = \"CPU\"\n\t\tcase matchAcc.MatchString(test):\n\t\t\thwType = \"Accelerator\"\n\t\tcase matchMem.MatchString(test):\n\t\t\thwType = \"Memory\"\n\t\tcase matchCore.MatchString(test):\n\t\t\thwType = \"Core\"\n\t\tdefault:\n\t\t\thwType = \"Other\"\n\t\t}\n\n\t\tres = append(res, &model.EnergyFootprintValue{\n\t\t\tHardware: hwType,\n\t\t\tMetric:   name,\n\t\t\tValue:    value,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *jobResolver) MetaData(ctx context.Context, obj *schema.Job) (any, error) {\n\treturn r.Repo.FetchMetadata(obj)\n}\n\n// UserData is the resolver for the userData field.\nfunc (r *jobResolver) UserData(ctx context.Context, obj *schema.Job) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, obj.User)\n}\n\n// Name is the resolver for the name field.\nfunc (r *metricValueResolver) Name(ctx context.Context, obj *schema.MetricValue) (*string, error) {\n\tpanic(fmt.Errorf(\"not implemented: Name - name\"))\n}\n\n// CreateTag is the resolver for the createTag field.\nfunc (r *mutationResolver) CreateTag(ctx context.Context, typeArg string, name string, scope string) (*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\tif user.HasRole(schema.RoleAdmin) && scope == \"admin\" ||\n\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && scope == \"global\" ||\n\t\tuser.Username == scope {\n\t\t// Create in DB\n\t\tid, err := r.Repo.CreateTag(typeArg, name, scope)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while creating tag\")\n\t\t\treturn nil, err\n\t\t}\n\t\treturn &schema.Tag{ID: id, Type: typeArg, Name: name, Scope: scope}, nil\n\t} else {\n\t\tcclog.Warnf(\"Not authorized to create tag with scope: %s\", scope)\n\t\treturn nil, fmt.Errorf(\"not authorized to create tag with scope: %s\", scope)\n\t}\n}\n\n// DeleteTag is the resolver for the deleteTag field.\nfunc (r *mutationResolver) DeleteTag(ctx context.Context, id string) (string, error) {\n\t// This Uses ID string <-> ID string, removeTagFromList uses []string <-> []int\n\tpanic(fmt.Errorf(\"not implemented: DeleteTag - deleteTag\"))\n}\n\n// AddTagsToJob is the resolver for the addTagsToJob field.\nfunc (r *mutationResolver) AddTagsToJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while adding tag to job\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Add to Job\n\t\t\tif tags, err = r.Repo.AddTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while adding tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to add tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to add tag: %d\", tid)\n\t\t}\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagsFromJob is the resolver for the removeTagsFromJob field.\nfunc (r *mutationResolver) RemoveTagsFromJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Remove from Job\n\t\t\tif tags, err = r.Repo.RemoveTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagFromList is the resolver for the removeTagFromList field.\nfunc (r *mutationResolver) RemoveTagFromList(ctx context.Context, tagIds []string) ([]int, error) {\n\t// Needs Contextuser\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\ttags := []int{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id for removal\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && (tscope == \"global\" || tscope == \"admin\") || user.Username == tscope {\n\t\t\t// Remove from DB\n\t\t\tif err = r.Repo.RemoveTagByID(tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t} else {\n\t\t\t\ttags = append(tags, int(tid))\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\t}\n\treturn tags, nil\n}\n\n// UpdateConfiguration is the resolver for the updateConfiguration field.\nfunc (r *mutationResolver) UpdateConfiguration(ctx context.Context, name string, value string) (*string, error) {\n\tif err := repository.GetUserCfgRepo().UpdateConfig(name, value, repository.GetUserFromContext(ctx)); err != nil {\n\t\tcclog.Warn(\"Error while updating user config\")\n\t\treturn nil, err\n\t}\n\n\treturn nil, nil\n}\n\n// ID is the resolver for the id field.\nfunc (r *nodeResolver) ID(ctx context.Context, obj *schema.Node) (string, error) {\n\tpanic(fmt.Errorf(\"not implemented: ID - id\"))\n}\n\n// SchedulerState is the resolver for the schedulerState field.\nfunc (r *nodeResolver) SchedulerState(ctx context.Context, obj *schema.Node) (schema.SchedulerState, error) {\n\tif obj.NodeState != \"\" {\n\t\treturn obj.NodeState, nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no SchedulerState (NodeState) on node object\")\n\t}\n}\n\n// HealthState is the resolver for the healthState field.\nfunc (r *nodeResolver) HealthState(ctx context.Context, obj *schema.Node) (string, error) {\n\tif obj.HealthState != \"\" {\n\t\treturn string(obj.HealthState), nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no HealthState (NodeState) on node object\")\n\t}\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *nodeResolver) MetaData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.MetaData != nil {\n\t\treturn obj.MetaData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no MetaData (NodeState) on node object\")\n\t\temptyMeta := make(map[string]string, 0)\n\t\treturn emptyMeta, nil\n\t}\n}\n\n// HealthData is the resolver for the healthData field.\nfunc (r *nodeResolver) HealthData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.HealthData != nil {\n\t\treturn obj.HealthData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no HealthData (NodeState) on node object\")\n\t\temptyHealth := make(map[string][]string, 0)\n\t\treturn emptyHealth, nil\n\t}\n}\n\n// Clusters is the resolver for the clusters field.\nfunc (r *queryResolver) Clusters(ctx context.Context) ([]*schema.Cluster, error) {\n\treturn archive.Clusters, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *queryResolver) Tags(ctx context.Context) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), nil)\n}\n\n// GlobalMetrics is the resolver for the globalMetrics field.\nfunc (r *queryResolver) GlobalMetrics(ctx context.Context) ([]*schema.GlobalMetricListItem, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\n\tif user != nil {\n\t\tif user.HasRole(schema.RoleUser) || user.HasRole(schema.RoleManager) {\n\t\t\treturn archive.GlobalUserMetricList, nil\n\t\t}\n\t}\n\n\treturn archive.GlobalMetricList, nil\n}\n\n// User is the resolver for the user field.\nfunc (r *queryResolver) User(ctx context.Context, username string) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, username)\n}\n\n// AllocatedNodes is the resolver for the allocatedNodes field.\nfunc (r *queryResolver) AllocatedNodes(ctx context.Context, cluster string) ([]*model.Count, error) {\n\tdata, err := r.Repo.AllocatedNodes(cluster)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching allocated nodes\")\n\t\treturn nil, err\n\t}\n\n\tcounts := make([]*model.Count, 0, len(data))\n\tfor subcluster, hosts := range data {\n\t\tcounts = append(counts, &model.Count{\n\t\t\tName:  subcluster,\n\t\t\tCount: len(hosts),\n\t\t})\n\t}\n\n\treturn counts, nil\n}\n\n// Node is the resolver for the node field.\nfunc (r *queryResolver) Node(ctx context.Context, id string) (*schema.Node, error) {\n\trepo := repository.GetNodeRepository()\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\treturn repo.GetNodeByID(numericID, false)\n}\n\n// Nodes is the resolver for the nodes field.\nfunc (r *queryResolver) Nodes(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodes(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodesWithMeta is the resolver for the nodesWithMeta field.\nfunc (r *queryResolver) NodesWithMeta(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\t// Why Extra Handler? -> graphql.CollectAllFields(ctx) only returns toplevel fields (i.e.: items, count), and not subfields like item.metaData\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodesWithMeta(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodeStates is the resolver for the nodeStates field.\nfunc (r *queryResolver) NodeStates(ctx context.Context, filter []*model.NodeFilter) ([]*model.NodeStates, error) {\n\trepo := repository.GetNodeRepository()\n\n\tstateCounts, serr := repo.CountStates(ctx, filter, \"node_state\")\n\tif serr != nil {\n\t\tcclog.Warnf(\"Error while counting nodeStates: %s\", serr.Error())\n\t\treturn nil, serr\n\t}\n\n\thealthCounts, herr := repo.CountStates(ctx, filter, \"health_state\")\n\tif herr != nil {\n\t\tcclog.Warnf(\"Error while counting healthStates: %s\", herr.Error())\n\t\treturn nil, herr\n\t}\n\n\tallCounts := append(stateCounts, healthCounts...)\n\n\treturn allCounts, nil\n}\n\n// NodeStatesTimed is the resolver for the nodeStatesTimed field.\nfunc (r *queryResolver) NodeStatesTimed(ctx context.Context, filter []*model.NodeFilter, typeArg string) ([]*model.NodeStatesTimed, error) {\n\trepo := repository.GetNodeRepository()\n\n\tif typeArg == \"node\" {\n\t\tstateCounts, serr := repo.CountStatesTimed(ctx, filter, \"node_state\")\n\t\tif serr != nil {\n\t\t\tcclog.Warnf(\"Error while counting nodeStates in time: %s\", serr.Error())\n\t\t\treturn nil, serr\n\t\t}\n\t\treturn stateCounts, nil\n\t}\n\n\tif typeArg == \"health\" {\n\t\thealthCounts, herr := repo.CountStatesTimed(ctx, filter, \"health_state\")\n\t\tif herr != nil {\n\t\t\tcclog.Warnf(\"Error while counting healthStates in time: %s\", herr.Error())\n\t\t\treturn nil, herr\n\t\t}\n\t\treturn healthCounts, nil\n\t}\n\n\treturn nil, errors.New(\"unknown Node State Query Type\")\n}\n\n// Job is the resolver for the job field.\nfunc (r *queryResolver) Job(ctx context.Context, id string) (*schema.Job, error) {\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\tjob, err := r.Repo.FindByID(ctx, numericID)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while finding job by id\")\n\t\treturn nil, err\n\t}\n\n\tif user := repository.GetUserFromContext(ctx); user != nil &&\n\t\tjob.User != user.Username &&\n\t\tuser.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"you are not allowed to see this job\")\n\t}\n\n\treturn job, nil\n}\n\n// JobMetrics is the resolver for the jobMetrics field.\nfunc (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int, resampleAlgo *model.ResampleAlgo) ([]*model.JobMetricWithName, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying job for metrics\")\n\t\treturn nil, err\n\t}\n\n\talgoName := \"\"\n\tif resampleAlgo != nil {\n\t\talgoName = strings.ToLower(resampleAlgo.String())\n\t}\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution, algoName)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobMetricWithName{}\n\tfor name, md := range data {\n\t\tfor scope, metric := range md {\n\t\t\tres = append(res, &model.JobMetricWithName{\n\t\t\t\tName:   name,\n\t\t\t\tScope:  scope,\n\t\t\t\tMetric: metric,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, err\n}\n\n// JobStats is the resolver for the jobStats field.\nfunc (r *queryResolver) JobStats(ctx context.Context, id string, metrics []string) ([]*model.NamedStats, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading jobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := []*model.NamedStats{}\n\tfor name, md := range data {\n\t\tres = append(res, &model.NamedStats{\n\t\t\tName: name,\n\t\t\tData: &md,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// ScopedJobStats is the resolver for the scopedJobStats field.\nfunc (r *queryResolver) ScopedJobStats(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope) ([]*model.NamedStatsWithScope, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadScopedJobStats(job, metrics, scopes, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading scopedJobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := make([]*model.NamedStatsWithScope, 0)\n\tfor name, scoped := range data {\n\t\tfor scope, stats := range scoped {\n\n\t\t\tmdlStats := make([]*model.ScopedStats, 0)\n\t\t\tfor _, stat := range stats {\n\t\t\t\tmdlStats = append(mdlStats, &model.ScopedStats{\n\t\t\t\t\tHostname: stat.Hostname,\n\t\t\t\t\tID:       stat.ID,\n\t\t\t\t\tData:     stat.Data,\n\t\t\t\t})\n\t\t\t}\n\n\t\t\tres = append(res, &model.NamedStatsWithScope{\n\t\t\t\tName:  name,\n\t\t\t\tScope: scope,\n\t\t\t\tStats: mdlStats,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, nil\n}\n\n// Jobs is the resolver for the jobs field.\nfunc (r *queryResolver) Jobs(ctx context.Context, filter []*model.JobFilter, page *model.PageRequest, order *model.OrderByInput) (*model.JobResultList, error) {\n\tif page == nil {\n\t\tpage = &model.PageRequest{\n\t\t\tItemsPerPage: 50,\n\t\t\tPage:         1,\n\t\t}\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, page, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs\")\n\t\treturn nil, err\n\t}\n\n\tcount, err := r.Repo.CountJobs(ctx, filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while counting jobs\")\n\t\treturn nil, err\n\t}\n\n\t// Note: Even if App-Default 'config.Keys.UiDefaults[\"job_list_usePaging\"]' is set, always return hasNextPage boolean.\n\t// Users can decide in frontend to use continuous scroll, even if app-default is paging!\n\t// Skip if page.ItemsPerPage == -1 (\"Load All\" -> No Next Page required, Status Dashboards)\n\t/*\n\t  Example Page 4 @ 10 IpP : Does item 41 exist?\n\t  Minimal Page 41 @ 1 IpP : If len(result) is 1, Page 5 @ 10 IpP exists.\n\t*/\n\thasNextPage := false\n\tif page.ItemsPerPage != -1 {\n\t\tnextPage := &model.PageRequest{\n\t\t\tItemsPerPage: 1,\n\t\t\tPage:         ((page.Page * page.ItemsPerPage) + 1),\n\t\t}\n\t\tnextJobs, err := r.Repo.QueryJobs(ctx, filter, nextPage, order)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while querying next jobs\")\n\t\t\treturn nil, err\n\t\t}\n\t\thasNextPage = len(nextJobs) == 1\n\t}\n\n\treturn &model.JobResultList{Items: jobs, Count: &count, HasNextPage: &hasNextPage}, nil\n}\n\n// JobsStatistics is the resolver for the jobsStatistics field.\nfunc (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobFilter, metrics []string, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, numDurationBins *string, numMetricBins *int) ([]*model.JobsStatistics, error) {\n\tvar err error\n\tvar stats []*model.JobsStatistics\n\n\t// Top Level Defaults\n\tdefaultDurationBins := \"1h\"\n\tdefaultMetricBins := 10\n\n\t// Build requested fields map for selective column computation\n\tstatsFields := []string{\n\t\t\"totalJobs\", \"totalUsers\", \"totalWalltime\", \"totalNodes\", \"totalCores\",\n\t\t\"totalAccs\", \"totalNodeHours\", \"totalCoreHours\", \"totalAccHours\", \"runningJobs\", \"shortJobs\",\n\t}\n\treqFields := make(map[string]bool, len(statsFields))\n\tfetchedMainStats := false\n\tfor _, f := range statsFields {\n\t\tif requireField(ctx, f) {\n\t\t\treqFields[f] = true\n\t\t\tif f != \"runningJobs\" && f != \"shortJobs\" {\n\t\t\t\tfetchedMainStats = true\n\t\t\t}\n\t\t}\n\t}\n\n\tif fetchedMainStats {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n\t\t} else {\n\t\t\tstartGrouped := time.Now()\n\t\t\t// Use request-scoped cache: multiple aliases with same (filter, groupBy)\n\t\t\t// but different sortBy/page hit the DB only once.\n\t\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n\t\t\t\tkey := statsCacheKey(filter, groupBy, reqFields)\n\t\t\t\tvar allStats []*model.JobsStatistics\n\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)\n\t\t\t\t})\n\t\t\t\tif err == nil {\n\t\t\t\t\tstats = sortAndPageStats(allStats, sortBy, page)\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\t}\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {\n\t\tstats = make([]*model.JobsStatistics, 0, 1)\n\t\tstats = append(stats, &model.JobsStatistics{})\n\t}\n\n\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n\t// Only run separate count queries if main stats were not fetched.\n\tif !fetchedMainStats {\n\t\tif groupBy != nil {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n\t\t\t}\n\t\t} else {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n\t\t\t}\n\t\t}\n\t}\n\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif requireField(ctx, \"histDuration\") || requireField(ctx, \"histNumNodes\") || requireField(ctx, \"histNumCores\") || requireField(ctx, \"histNumAccs\") {\n\n\t\tif numDurationBins == nil {\n\t\t\tnumDurationBins = &defaultDurationBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddHistograms(ctx, filter, stats[0], numDurationBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\tif requireField(ctx, \"histMetrics\") {\n\n\t\tif numMetricBins == nil {\n\t\t\tnumMetricBins = &defaultMetricBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddMetricHistograms(ctx, filter, metrics, stats[0], numMetricBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"metric histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// JobsMetricStats is the resolver for the jobsMetricStats field.\nfunc (r *queryResolver) JobsMetricStats(ctx context.Context, filter []*model.JobFilter, metrics []string) ([]*model.JobStats, error) {\n\t// No Paging, Fixed Order by StartTime ASC\n\torder := &model.OrderByInput{\n\t\tField: \"startTime\",\n\t\tType:  \"col\",\n\t\tOrder: \"ASC\",\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, nil, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs for comparison\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobStats{}\n\tfor _, job := range jobs {\n\t\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading comparison jobStats data for job id %d\", job.JobID)\n\t\t\tcontinue\n\t\t\t// return nil, err\n\t\t}\n\n\t\tsres := []*model.NamedStats{}\n\t\tfor name, md := range data {\n\t\t\tsres = append(sres, &model.NamedStats{\n\t\t\t\tName: name,\n\t\t\t\tData: &md,\n\t\t\t})\n\t\t}\n\n\t\tnumThreadsInt := int(job.NumHWThreads)\n\t\tnumAccsInt := int(job.NumAcc)\n\t\tres = append(res, &model.JobStats{\n\t\t\tID:              int(*job.ID),\n\t\t\tJobID:           strconv.Itoa(int(job.JobID)),\n\t\t\tStartTime:       int(job.StartTime),\n\t\t\tDuration:        int(job.Duration),\n\t\t\tCluster:         job.Cluster,\n\t\t\tSubCluster:      job.SubCluster,\n\t\t\tNumNodes:        int(job.NumNodes),\n\t\t\tNumHWThreads:    &numThreadsInt,\n\t\t\tNumAccelerators: &numAccsInt,\n\t\t\tStats:           sres,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// JobsFootprints is the resolver for the jobsFootprints field.\nfunc (r *queryResolver) JobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n\t// NOTE: Legacy Naming! This resolver is for normalized histograms in analysis view only - *Not* related to DB \"footprint\" column!\n\treturn r.jobsFootprints(ctx, filter, metrics)\n}\n\n// RooflineHeatmap is the resolver for the rooflineHeatmap field.\nfunc (r *queryResolver) RooflineHeatmap(ctx context.Context, filter []*model.JobFilter, rows int, cols int, minX float64, minY float64, maxX float64, maxY float64) ([][]float64, error) {\n\treturn r.rooflineHeatmap(ctx, filter, rows, cols, minX, minY, maxX, maxY)\n}\n\n// NodeMetrics is the resolver for the nodeMetrics field.\nfunc (r *queryResolver) NodeMetrics(ctx context.Context, cluster string, nodes []string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time) ([]*model.NodeMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tdefaultMetrics := make([]string, 0)\n\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\tdefaultMetrics = append(defaultMetrics, mc.Name)\n\t}\n\tif metrics == nil {\n\t\tmetrics = defaultMetrics\n\t} else {\n\t\tmetrics = slices.DeleteFunc(metrics, func(metric string) bool {\n\t\t\treturn !slices.Contains(defaultMetrics, metric) // Remove undefined metrics.\n\t\t})\n\t}\n\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\tnodeStateMap, metricHealthMap, _ := nodeRepo.MapNodes(cluster)\n\n\tnodeMetrics := make([]*model.NodeMetrics, 0, len(data))\n\tfor hostname, metrics := range data {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost:         hostname,\n\t\t\tNodeState:    nodeStateMap[hostname],\n\t\t\tMetricHealth: metricHealthMap[hostname],\n\t\t\tMetrics:      make([]*model.JobMetricWithName, 0, len(metrics)*len(scopes)),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName:   metric,\n\t\t\t\t\tScope:  schema.MetricScopeNode,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetrics = append(nodeMetrics, host)\n\t}\n\n\treturn nodeMetrics, nil\n}\n\n// NodeMetricsList is the resolver for the nodeMetricsList field.\nfunc (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int, resampleAlgo *model.ResampleAlgo) (*model.NodesResultList, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\t// nodes -> array hostname\n\tnodes, nodeStateMap, metricHealthMap, countNodes, hasNextPage, nerr := nodeRepo.GetNodesForList(ctx, cluster, subCluster, stateFilter, nodeFilter, page)\n\tif nerr != nil {\n\t\treturn nil, errors.New(\"could not retrieve node list required for resolving NodeMetricsList\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\talgoName := \"\"\n\tif resampleAlgo != nil {\n\t\talgoName = strings.ToLower(resampleAlgo.String())\n\t}\n\n\t// data -> map hostname:jobdata\n\tdata, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx, algoName)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data (Resolver.NodeMetricsList\")\n\t\treturn nil, err\n\t}\n\n\tnodeMetricsList := make([]*model.NodeMetrics, 0, len(data))\n\tfor _, hostname := range nodes {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost:         hostname,\n\t\t\tNodeState:    nodeStateMap[hostname],\n\t\t\tMetricHealth: metricHealthMap[hostname],\n\t\t\tMetrics:      make([]*model.JobMetricWithName, 0),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range data[hostname] {\n\t\t\tfor scope, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName:   metric,\n\t\t\t\t\tScope:  scope,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetricsList = append(nodeMetricsList, host)\n\t}\n\n\tnodeMetricsListResult := &model.NodesResultList{\n\t\tItems: nodeMetricsList,\n\t\t// TotalNodes depends on sum of nodes grouped on latest timestamp, see repo/node.go:357\n\t\tTotalNodes:  &countNodes,\n\t\tHasNextPage: &hasNextPage,\n\t}\n\n\treturn nodeMetricsListResult, nil\n}\n\n// ClusterMetrics is the resolver for the clusterMetrics field.\nfunc (r *queryResolver) ClusterMetrics(ctx context.Context, cluster string, metrics []string, from time.Time, to time.Time) (*model.ClusterMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\t// 'nodes' == nil -> Defaults to all nodes of cluster for existing query workflow\n\tscopes := []schema.MetricScope{\"node\"}\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nil, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tclusterMetricData := make([]*model.ClusterMetricWithName, 0)\n\tclusterMetrics := model.ClusterMetrics{NodeCount: 0, Metrics: clusterMetricData}\n\n\tcollectorTimestep := make(map[string]int)\n\tcollectorUnit := make(map[string]schema.Unit)\n\tcollectorData := make(map[string][]schema.Float)\n\n\tfor _, metrics := range data {\n\t\tclusterMetrics.NodeCount += 1\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\t// Collect Info Once\n\t\t\t\t_, okTimestep := collectorTimestep[metric]\n\t\t\t\tif !okTimestep {\n\t\t\t\t\tcollectorTimestep[metric] = scopedMetric.Timestep\n\t\t\t\t}\n\t\t\t\t_, okUnit := collectorUnit[metric]\n\t\t\t\tif !okUnit {\n\t\t\t\t\tcollectorUnit[metric] = scopedMetric.Unit\n\t\t\t\t}\n\t\t\t\t// Collect Data\n\t\t\t\tfor _, ser := range scopedMetric.Series {\n\t\t\t\t\t_, okData := collectorData[metric]\n\t\t\t\t\t// Init With Datasize > 0\n\t\t\t\t\tif !okData && len(ser.Data) != 0 {\n\t\t\t\t\t\tcollectorData[metric] = make([]schema.Float, len(ser.Data))\n\t\t\t\t\t} else if !okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip init: no data -> %s at %s; size %d\", metric, ser.Hostname, len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t\t// Sum if init'd and matching size\n\t\t\t\t\tif okData && len(ser.Data) == len(collectorData[metric]) {\n\t\t\t\t\t\tfor i, val := range ser.Data {\n\t\t\t\t\t\t\tif val.IsNaN() {\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tcollectorData[metric][i] += val\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else if okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip sum: data diff -> %s at %s; want size %d, have size %d\", metric, ser.Hostname, len(collectorData[metric]), len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tfor metricName, data := range collectorData {\n\t\t// use ccUnits for backend normalization to \"Tera\"\n\t\tp_old := ccunit.NewPrefix(collectorUnit[metricName].Prefix)\n\t\tp_new := ccunit.NewPrefix(\"T\")\n\t\tconvFunc := ccunit.GetPrefixPrefixFactor(p_old, p_new)\n\t\tu_new := schema.Unit{Prefix: p_new.Prefix(), Base: collectorUnit[metricName].Base}\n\n\t\troundedData := make([]schema.Float, 0)\n\t\tfor _, v_old := range data {\n\t\t\tv_new := math.Round(convFunc(float64(v_old)).(float64)*100.0) / 100.0\n\t\t\troundedData = append(roundedData, schema.Float(v_new))\n\t\t}\n\n\t\tcm := model.ClusterMetricWithName{\n\t\t\tName:     metricName,\n\t\t\tUnit:     &u_new,\n\t\t\tTimestep: collectorTimestep[metricName],\n\t\t\tData:     roundedData,\n\t\t}\n\n\t\tclusterMetrics.Metrics = append(clusterMetrics.Metrics, &cm)\n\t}\n\n\treturn &clusterMetrics, nil\n}\n\n// NumberOfNodes is the resolver for the numberOfNodes field.\nfunc (r *subClusterResolver) NumberOfNodes(ctx context.Context, obj *schema.SubCluster) (int, error) {\n\tnodeList, err := archive.ParseNodeList(obj.Nodes)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn nodeList.NodeCount(), nil\n}\n\n// Cluster returns generated.ClusterResolver implementation.\nfunc (r *Resolver) Cluster() generated.ClusterResolver { return &clusterResolver{r} }\n\n// Job returns generated.JobResolver implementation.\nfunc (r *Resolver) Job() generated.JobResolver { return &jobResolver{r} }\n\n// MetricValue returns generated.MetricValueResolver implementation.\nfunc (r *Resolver) MetricValue() generated.MetricValueResolver { return &metricValueResolver{r} }\n\n// Mutation returns generated.MutationResolver implementation.\nfunc (r *Resolver) Mutation() generated.MutationResolver { return &mutationResolver{r} }\n\n// Node returns generated.NodeResolver implementation.\nfunc (r *Resolver) Node() generated.NodeResolver { return &nodeResolver{r} }\n\n// Query returns generated.QueryResolver implementation.\nfunc (r *Resolver) Query() generated.QueryResolver { return &queryResolver{r} }\n\n// SubCluster returns generated.SubClusterResolver implementation.\nfunc (r *Resolver) SubCluster() generated.SubClusterResolver { return &subClusterResolver{r} }\n\ntype clusterResolver struct{ *Resolver }\ntype jobResolver struct{ *Resolver }\ntype metricValueResolver struct{ *Resolver }\ntype mutationResolver struct{ *Resolver }\ntype nodeResolver struct{ *Resolver }\ntype queryResolver struct{ *Resolver }\ntype subClusterResolver struct{ *Resolver }\n","structuredPatch":[{"oldStart":499,"oldLines":27,"newStart":499,"newLines":28,"lines":[" "," // JobMetrics is the resolver for the jobMetrics field."," func (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int, resampleAlgo *model.ResampleAlgo) ([]*model.JobMetricWithName, error) {","-  if resolution == nil { // Load from Config","+  job, err := r.Query().Job(ctx, id)","+  if err != nil {","+    cclog.Warn(\"Error while querying job for metrics\")","+    return nil, err","+  }","+","+  // Resolve resolution: explicit param > user policy > global config > 0","+  if resolution == nil {","+    resolution = resolveResolutionFromPolicy(ctx, job.Duration, job.Cluster, metrics)","+  }","+  if resolution == nil {","     if config.Keys.EnableResampling != nil {","       defaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)","       resolution = &defaultRes","-    } else { // Set 0 (Loads configured metric timestep)","+    } else {","       defaultRes := 0","       resolution = &defaultRes","     }","   }"," ","-  job, err := r.Query().Job(ctx, id)","-  if err != nil {","-    cclog.Warn(\"Error while querying job for metrics\")","-    return nil, err","-  }","+  algoName := resolveResampleAlgo(ctx, resampleAlgo)"," ","-  algoName := \"\"","-  if resampleAlgo != nil {","-    algoName = strings.ToLower(resampleAlgo.String())","-  }","-","   data, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution, algoName)","   if err != nil {","     cclog.Warn(\"Error while loading job data\")"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"d8905db5-378a-4fda-8317-97d995f83622","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"3ad73fc2-a0c0-44a3-b410-01f750916d94","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_016Y73j3ap1NAUmcDbR9xbm4","type":"message","role":"assistant","content":[{"type":"text","text":"Now update the `NodeMetricsList` resolver."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":722,"cache_read_input_tokens":46664,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":722},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDhPLZqzH3AgyRn2V8m7","type":"assistant","uuid":"0ab63c51-f21e-46b0-b135-d0ebee59c07c","timestamp":"2026-03-20T04:25:26.241Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"0ab63c51-f21e-46b0-b135-d0ebee59c07c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_016Y73j3ap1NAUmcDbR9xbm4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015ncY7JNNyHmCeDFCfS913S","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/tmp/cc-backend/internal/graph/schema.resolvers.go","old_string":"// NodeMetricsList is the resolver for the nodeMetricsList field.\nfunc (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int, resampleAlgo *model.ResampleAlgo) (*model.NodesResultList, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\t// nodes -> array hostname\n\tnodes, nodeStateMap, metricHealthMap, countNodes, hasNextPage, nerr := nodeRepo.GetNodesForList(ctx, cluster, subCluster, stateFilter, nodeFilter, page)\n\tif nerr != nil {\n\t\treturn nil, errors.New(\"could not retrieve node list required for resolving NodeMetricsList\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\talgoName := \"\"\n\tif resampleAlgo != nil {\n\t\talgoName = strings.ToLower(resampleAlgo.String())\n\t}","new_string":"// NodeMetricsList is the resolver for the nodeMetricsList field.\nfunc (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int, resampleAlgo *model.ResampleAlgo) (*model.NodesResultList, error) {\n\t// Resolve resolution: explicit param > user policy > global config > 0\n\tduration := int64(to.Sub(from).Seconds())\n\tif resolution == nil {\n\t\tresolution = resolveResolutionFromPolicy(ctx, duration, cluster, metrics)\n\t}\n\tif resolution == nil {\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else {\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\t// nodes -> array hostname\n\tnodes, nodeStateMap, metricHealthMap, countNodes, hasNextPage, nerr := nodeRepo.GetNodesForList(ctx, cluster, subCluster, stateFilter, nodeFilter, page)\n\tif nerr != nil {\n\t\treturn nil, errors.New(\"could not retrieve node list required for resolving NodeMetricsList\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\talgoName := resolveResampleAlgo(ctx, resampleAlgo)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":722,"cache_read_input_tokens":46664,"output_tokens":1078,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":722,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDhPLZqzH3AgyRn2V8m7","type":"assistant","uuid":"90631c79-01c4-4717-a236-cd841fb4a233","timestamp":"2026-03-20T04:25:36.756Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"90631c79-01c4-4717-a236-cd841fb4a233","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_015ncY7JNNyHmCeDFCfS913S","toolUseID":"toolu_015ncY7JNNyHmCeDFCfS913S","timestamp":"2026-03-20T04:25:36.767Z","uuid":"cdd662ab-9d4d-4d95-9a85-7260c3f44fb5","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"90631c79-01c4-4717-a236-cd841fb4a233","isSidechain":false,"promptId":"0763b03c-10c2-419e-8e69-b6ee9bffed71","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015ncY7JNNyHmCeDFCfS913S","type":"tool_result","content":"The file /Users/jan/tmp/cc-backend/internal/graph/schema.resolvers.go has been updated successfully."}]},"uuid":"abb1166e-fdd4-44a0-b61e-02db2d626439","timestamp":"2026-03-20T04:25:36.767Z","toolUseResult":{"filePath":"/Users/jan/tmp/cc-backend/internal/graph/schema.resolvers.go","oldString":"// NodeMetricsList is the resolver for the nodeMetricsList field.\nfunc (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int, resampleAlgo *model.ResampleAlgo) (*model.NodesResultList, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\t// nodes -> array hostname\n\tnodes, nodeStateMap, metricHealthMap, countNodes, hasNextPage, nerr := nodeRepo.GetNodesForList(ctx, cluster, subCluster, stateFilter, nodeFilter, page)\n\tif nerr != nil {\n\t\treturn nil, errors.New(\"could not retrieve node list required for resolving NodeMetricsList\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\talgoName := \"\"\n\tif resampleAlgo != nil {\n\t\talgoName = strings.ToLower(resampleAlgo.String())\n\t}","newString":"// NodeMetricsList is the resolver for the nodeMetricsList field.\nfunc (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int, resampleAlgo *model.ResampleAlgo) (*model.NodesResultList, error) {\n\t// Resolve resolution: explicit param > user policy > global config > 0\n\tduration := int64(to.Sub(from).Seconds())\n\tif resolution == nil {\n\t\tresolution = resolveResolutionFromPolicy(ctx, duration, cluster, metrics)\n\t}\n\tif resolution == nil {\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else {\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\t// nodes -> array hostname\n\tnodes, nodeStateMap, metricHealthMap, countNodes, hasNextPage, nerr := nodeRepo.GetNodesForList(ctx, cluster, subCluster, stateFilter, nodeFilter, page)\n\tif nerr != nil {\n\t\treturn nil, errors.New(\"could not retrieve node list required for resolving NodeMetricsList\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\talgoName := resolveResampleAlgo(ctx, resampleAlgo)","originalFile":"package graph\n\n// This file will be automatically regenerated based on the schema, any resolver\n// implementations\n// will be copied through when generating and any unknown code will be moved to the end.\n// Code generated by github.com/99designs/gqlgen version v0.17.88\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"math\"\n\t\"regexp\"\n\t\"slices\"\n\t\"strconv\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tccunit \"github.com/ClusterCockpit/cc-lib/v2/ccUnits\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Partitions is the resolver for the partitions field.\nfunc (r *clusterResolver) Partitions(ctx context.Context, obj *schema.Cluster) ([]string, error) {\n\treturn r.Repo.Partitions(obj.Name)\n}\n\n// StartTime is the resolver for the startTime field.\nfunc (r *jobResolver) StartTime(ctx context.Context, obj *schema.Job) (*time.Time, error) {\n\ttimestamp := time.Unix(obj.StartTime, 0)\n\treturn &timestamp, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *jobResolver) Tags(ctx context.Context, obj *schema.Job) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), obj.ID)\n}\n\n// ConcurrentJobs is the resolver for the concurrentJobs field.\nfunc (r *jobResolver) ConcurrentJobs(ctx context.Context, obj *schema.Job) (*model.JobLinkResultList, error) {\n\t// FIXME: Make the hardcoded duration configurable\n\tif obj.Shared != \"none\" && obj.Duration > 600 {\n\t\treturn r.Repo.FindConcurrentJobs(ctx, obj)\n\t}\n\n\treturn nil, nil\n}\n\n// Footprint is the resolver for the footprint field.\nfunc (r *jobResolver) Footprint(ctx context.Context, obj *schema.Job) ([]*model.FootprintValue, error) {\n\trawFootprint, err := r.Repo.FetchFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.FootprintValue{}\n\tfor name, value := range rawFootprint {\n\n\t\tparts := strings.Split(name, \"_\")\n\t\tstatPart := parts[len(parts)-1]\n\t\tnameParts := parts[:len(parts)-1]\n\n\t\tres = append(res, &model.FootprintValue{\n\t\t\tName:  strings.Join(nameParts, \"_\"),\n\t\t\tStat:  statPart,\n\t\t\tValue: value,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// EnergyFootprint is the resolver for the energyFootprint field.\nfunc (r *jobResolver) EnergyFootprint(ctx context.Context, obj *schema.Job) ([]*model.EnergyFootprintValue, error) {\n\trawEnergyFootprint, err := r.Repo.FetchEnergyFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job energy footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.EnergyFootprintValue{}\n\tfor name, value := range rawEnergyFootprint {\n\t\t// Suboptimal: Nearly hardcoded metric name expectations\n\t\tmatchCPU := regexp.MustCompile(`cpu|Cpu|CPU`)\n\t\tmatchAcc := regexp.MustCompile(`acc|Acc|ACC`)\n\t\tmatchMem := regexp.MustCompile(`mem|Mem|MEM`)\n\t\tmatchCore := regexp.MustCompile(`core|Core|CORE`)\n\n\t\thwType := \"\"\n\t\tswitch test := name; { // NOtice ';' for var declaration\n\t\tcase matchCPU.MatchString(test):\n\t\t\thwType = \"CPU\"\n\t\tcase matchAcc.MatchString(test):\n\t\t\thwType = \"Accelerator\"\n\t\tcase matchMem.MatchString(test):\n\t\t\thwType = \"Memory\"\n\t\tcase matchCore.MatchString(test):\n\t\t\thwType = \"Core\"\n\t\tdefault:\n\t\t\thwType = \"Other\"\n\t\t}\n\n\t\tres = append(res, &model.EnergyFootprintValue{\n\t\t\tHardware: hwType,\n\t\t\tMetric:   name,\n\t\t\tValue:    value,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *jobResolver) MetaData(ctx context.Context, obj *schema.Job) (any, error) {\n\treturn r.Repo.FetchMetadata(obj)\n}\n\n// UserData is the resolver for the userData field.\nfunc (r *jobResolver) UserData(ctx context.Context, obj *schema.Job) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, obj.User)\n}\n\n// Name is the resolver for the name field.\nfunc (r *metricValueResolver) Name(ctx context.Context, obj *schema.MetricValue) (*string, error) {\n\tpanic(fmt.Errorf(\"not implemented: Name - name\"))\n}\n\n// CreateTag is the resolver for the createTag field.\nfunc (r *mutationResolver) CreateTag(ctx context.Context, typeArg string, name string, scope string) (*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\tif user.HasRole(schema.RoleAdmin) && scope == \"admin\" ||\n\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && scope == \"global\" ||\n\t\tuser.Username == scope {\n\t\t// Create in DB\n\t\tid, err := r.Repo.CreateTag(typeArg, name, scope)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while creating tag\")\n\t\t\treturn nil, err\n\t\t}\n\t\treturn &schema.Tag{ID: id, Type: typeArg, Name: name, Scope: scope}, nil\n\t} else {\n\t\tcclog.Warnf(\"Not authorized to create tag with scope: %s\", scope)\n\t\treturn nil, fmt.Errorf(\"not authorized to create tag with scope: %s\", scope)\n\t}\n}\n\n// DeleteTag is the resolver for the deleteTag field.\nfunc (r *mutationResolver) DeleteTag(ctx context.Context, id string) (string, error) {\n\t// This Uses ID string <-> ID string, removeTagFromList uses []string <-> []int\n\tpanic(fmt.Errorf(\"not implemented: DeleteTag - deleteTag\"))\n}\n\n// AddTagsToJob is the resolver for the addTagsToJob field.\nfunc (r *mutationResolver) AddTagsToJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while adding tag to job\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Add to Job\n\t\t\tif tags, err = r.Repo.AddTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while adding tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to add tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to add tag: %d\", tid)\n\t\t}\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagsFromJob is the resolver for the removeTagsFromJob field.\nfunc (r *mutationResolver) RemoveTagsFromJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Remove from Job\n\t\t\tif tags, err = r.Repo.RemoveTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagFromList is the resolver for the removeTagFromList field.\nfunc (r *mutationResolver) RemoveTagFromList(ctx context.Context, tagIds []string) ([]int, error) {\n\t// Needs Contextuser\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\ttags := []int{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id for removal\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && (tscope == \"global\" || tscope == \"admin\") || user.Username == tscope {\n\t\t\t// Remove from DB\n\t\t\tif err = r.Repo.RemoveTagByID(tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t} else {\n\t\t\t\ttags = append(tags, int(tid))\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\t}\n\treturn tags, nil\n}\n\n// UpdateConfiguration is the resolver for the updateConfiguration field.\nfunc (r *mutationResolver) UpdateConfiguration(ctx context.Context, name string, value string) (*string, error) {\n\tif err := repository.GetUserCfgRepo().UpdateConfig(name, value, repository.GetUserFromContext(ctx)); err != nil {\n\t\tcclog.Warn(\"Error while updating user config\")\n\t\treturn nil, err\n\t}\n\n\treturn nil, nil\n}\n\n// ID is the resolver for the id field.\nfunc (r *nodeResolver) ID(ctx context.Context, obj *schema.Node) (string, error) {\n\tpanic(fmt.Errorf(\"not implemented: ID - id\"))\n}\n\n// SchedulerState is the resolver for the schedulerState field.\nfunc (r *nodeResolver) SchedulerState(ctx context.Context, obj *schema.Node) (schema.SchedulerState, error) {\n\tif obj.NodeState != \"\" {\n\t\treturn obj.NodeState, nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no SchedulerState (NodeState) on node object\")\n\t}\n}\n\n// HealthState is the resolver for the healthState field.\nfunc (r *nodeResolver) HealthState(ctx context.Context, obj *schema.Node) (string, error) {\n\tif obj.HealthState != \"\" {\n\t\treturn string(obj.HealthState), nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no HealthState (NodeState) on node object\")\n\t}\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *nodeResolver) MetaData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.MetaData != nil {\n\t\treturn obj.MetaData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no MetaData (NodeState) on node object\")\n\t\temptyMeta := make(map[string]string, 0)\n\t\treturn emptyMeta, nil\n\t}\n}\n\n// HealthData is the resolver for the healthData field.\nfunc (r *nodeResolver) HealthData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.HealthData != nil {\n\t\treturn obj.HealthData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no HealthData (NodeState) on node object\")\n\t\temptyHealth := make(map[string][]string, 0)\n\t\treturn emptyHealth, nil\n\t}\n}\n\n// Clusters is the resolver for the clusters field.\nfunc (r *queryResolver) Clusters(ctx context.Context) ([]*schema.Cluster, error) {\n\treturn archive.Clusters, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *queryResolver) Tags(ctx context.Context) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), nil)\n}\n\n// GlobalMetrics is the resolver for the globalMetrics field.\nfunc (r *queryResolver) GlobalMetrics(ctx context.Context) ([]*schema.GlobalMetricListItem, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\n\tif user != nil {\n\t\tif user.HasRole(schema.RoleUser) || user.HasRole(schema.RoleManager) {\n\t\t\treturn archive.GlobalUserMetricList, nil\n\t\t}\n\t}\n\n\treturn archive.GlobalMetricList, nil\n}\n\n// User is the resolver for the user field.\nfunc (r *queryResolver) User(ctx context.Context, username string) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, username)\n}\n\n// AllocatedNodes is the resolver for the allocatedNodes field.\nfunc (r *queryResolver) AllocatedNodes(ctx context.Context, cluster string) ([]*model.Count, error) {\n\tdata, err := r.Repo.AllocatedNodes(cluster)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching allocated nodes\")\n\t\treturn nil, err\n\t}\n\n\tcounts := make([]*model.Count, 0, len(data))\n\tfor subcluster, hosts := range data {\n\t\tcounts = append(counts, &model.Count{\n\t\t\tName:  subcluster,\n\t\t\tCount: len(hosts),\n\t\t})\n\t}\n\n\treturn counts, nil\n}\n\n// Node is the resolver for the node field.\nfunc (r *queryResolver) Node(ctx context.Context, id string) (*schema.Node, error) {\n\trepo := repository.GetNodeRepository()\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\treturn repo.GetNodeByID(numericID, false)\n}\n\n// Nodes is the resolver for the nodes field.\nfunc (r *queryResolver) Nodes(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodes(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodesWithMeta is the resolver for the nodesWithMeta field.\nfunc (r *queryResolver) NodesWithMeta(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\t// Why Extra Handler? -> graphql.CollectAllFields(ctx) only returns toplevel fields (i.e.: items, count), and not subfields like item.metaData\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodesWithMeta(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodeStates is the resolver for the nodeStates field.\nfunc (r *queryResolver) NodeStates(ctx context.Context, filter []*model.NodeFilter) ([]*model.NodeStates, error) {\n\trepo := repository.GetNodeRepository()\n\n\tstateCounts, serr := repo.CountStates(ctx, filter, \"node_state\")\n\tif serr != nil {\n\t\tcclog.Warnf(\"Error while counting nodeStates: %s\", serr.Error())\n\t\treturn nil, serr\n\t}\n\n\thealthCounts, herr := repo.CountStates(ctx, filter, \"health_state\")\n\tif herr != nil {\n\t\tcclog.Warnf(\"Error while counting healthStates: %s\", herr.Error())\n\t\treturn nil, herr\n\t}\n\n\tallCounts := append(stateCounts, healthCounts...)\n\n\treturn allCounts, nil\n}\n\n// NodeStatesTimed is the resolver for the nodeStatesTimed field.\nfunc (r *queryResolver) NodeStatesTimed(ctx context.Context, filter []*model.NodeFilter, typeArg string) ([]*model.NodeStatesTimed, error) {\n\trepo := repository.GetNodeRepository()\n\n\tif typeArg == \"node\" {\n\t\tstateCounts, serr := repo.CountStatesTimed(ctx, filter, \"node_state\")\n\t\tif serr != nil {\n\t\t\tcclog.Warnf(\"Error while counting nodeStates in time: %s\", serr.Error())\n\t\t\treturn nil, serr\n\t\t}\n\t\treturn stateCounts, nil\n\t}\n\n\tif typeArg == \"health\" {\n\t\thealthCounts, herr := repo.CountStatesTimed(ctx, filter, \"health_state\")\n\t\tif herr != nil {\n\t\t\tcclog.Warnf(\"Error while counting healthStates in time: %s\", herr.Error())\n\t\t\treturn nil, herr\n\t\t}\n\t\treturn healthCounts, nil\n\t}\n\n\treturn nil, errors.New(\"unknown Node State Query Type\")\n}\n\n// Job is the resolver for the job field.\nfunc (r *queryResolver) Job(ctx context.Context, id string) (*schema.Job, error) {\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\tjob, err := r.Repo.FindByID(ctx, numericID)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while finding job by id\")\n\t\treturn nil, err\n\t}\n\n\tif user := repository.GetUserFromContext(ctx); user != nil &&\n\t\tjob.User != user.Username &&\n\t\tuser.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"you are not allowed to see this job\")\n\t}\n\n\treturn job, nil\n}\n\n// JobMetrics is the resolver for the jobMetrics field.\nfunc (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int, resampleAlgo *model.ResampleAlgo) ([]*model.JobMetricWithName, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying job for metrics\")\n\t\treturn nil, err\n\t}\n\n\t// Resolve resolution: explicit param > user policy > global config > 0\n\tif resolution == nil {\n\t\tresolution = resolveResolutionFromPolicy(ctx, job.Duration, job.Cluster, metrics)\n\t}\n\tif resolution == nil {\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else {\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\talgoName := resolveResampleAlgo(ctx, resampleAlgo)\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution, algoName)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobMetricWithName{}\n\tfor name, md := range data {\n\t\tfor scope, metric := range md {\n\t\t\tres = append(res, &model.JobMetricWithName{\n\t\t\t\tName:   name,\n\t\t\t\tScope:  scope,\n\t\t\t\tMetric: metric,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, err\n}\n\n// JobStats is the resolver for the jobStats field.\nfunc (r *queryResolver) JobStats(ctx context.Context, id string, metrics []string) ([]*model.NamedStats, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading jobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := []*model.NamedStats{}\n\tfor name, md := range data {\n\t\tres = append(res, &model.NamedStats{\n\t\t\tName: name,\n\t\t\tData: &md,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// ScopedJobStats is the resolver for the scopedJobStats field.\nfunc (r *queryResolver) ScopedJobStats(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope) ([]*model.NamedStatsWithScope, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadScopedJobStats(job, metrics, scopes, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading scopedJobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := make([]*model.NamedStatsWithScope, 0)\n\tfor name, scoped := range data {\n\t\tfor scope, stats := range scoped {\n\n\t\t\tmdlStats := make([]*model.ScopedStats, 0)\n\t\t\tfor _, stat := range stats {\n\t\t\t\tmdlStats = append(mdlStats, &model.ScopedStats{\n\t\t\t\t\tHostname: stat.Hostname,\n\t\t\t\t\tID:       stat.ID,\n\t\t\t\t\tData:     stat.Data,\n\t\t\t\t})\n\t\t\t}\n\n\t\t\tres = append(res, &model.NamedStatsWithScope{\n\t\t\t\tName:  name,\n\t\t\t\tScope: scope,\n\t\t\t\tStats: mdlStats,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, nil\n}\n\n// Jobs is the resolver for the jobs field.\nfunc (r *queryResolver) Jobs(ctx context.Context, filter []*model.JobFilter, page *model.PageRequest, order *model.OrderByInput) (*model.JobResultList, error) {\n\tif page == nil {\n\t\tpage = &model.PageRequest{\n\t\t\tItemsPerPage: 50,\n\t\t\tPage:         1,\n\t\t}\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, page, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs\")\n\t\treturn nil, err\n\t}\n\n\tcount, err := r.Repo.CountJobs(ctx, filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while counting jobs\")\n\t\treturn nil, err\n\t}\n\n\t// Note: Even if App-Default 'config.Keys.UiDefaults[\"job_list_usePaging\"]' is set, always return hasNextPage boolean.\n\t// Users can decide in frontend to use continuous scroll, even if app-default is paging!\n\t// Skip if page.ItemsPerPage == -1 (\"Load All\" -> No Next Page required, Status Dashboards)\n\t/*\n\t  Example Page 4 @ 10 IpP : Does item 41 exist?\n\t  Minimal Page 41 @ 1 IpP : If len(result) is 1, Page 5 @ 10 IpP exists.\n\t*/\n\thasNextPage := false\n\tif page.ItemsPerPage != -1 {\n\t\tnextPage := &model.PageRequest{\n\t\t\tItemsPerPage: 1,\n\t\t\tPage:         ((page.Page * page.ItemsPerPage) + 1),\n\t\t}\n\t\tnextJobs, err := r.Repo.QueryJobs(ctx, filter, nextPage, order)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while querying next jobs\")\n\t\t\treturn nil, err\n\t\t}\n\t\thasNextPage = len(nextJobs) == 1\n\t}\n\n\treturn &model.JobResultList{Items: jobs, Count: &count, HasNextPage: &hasNextPage}, nil\n}\n\n// JobsStatistics is the resolver for the jobsStatistics field.\nfunc (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobFilter, metrics []string, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, numDurationBins *string, numMetricBins *int) ([]*model.JobsStatistics, error) {\n\tvar err error\n\tvar stats []*model.JobsStatistics\n\n\t// Top Level Defaults\n\tdefaultDurationBins := \"1h\"\n\tdefaultMetricBins := 10\n\n\t// Build requested fields map for selective column computation\n\tstatsFields := []string{\n\t\t\"totalJobs\", \"totalUsers\", \"totalWalltime\", \"totalNodes\", \"totalCores\",\n\t\t\"totalAccs\", \"totalNodeHours\", \"totalCoreHours\", \"totalAccHours\", \"runningJobs\", \"shortJobs\",\n\t}\n\treqFields := make(map[string]bool, len(statsFields))\n\tfetchedMainStats := false\n\tfor _, f := range statsFields {\n\t\tif requireField(ctx, f) {\n\t\t\treqFields[f] = true\n\t\t\tif f != \"runningJobs\" && f != \"shortJobs\" {\n\t\t\t\tfetchedMainStats = true\n\t\t\t}\n\t\t}\n\t}\n\n\tif fetchedMainStats {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n\t\t} else {\n\t\t\tstartGrouped := time.Now()\n\t\t\t// Use request-scoped cache: multiple aliases with same (filter, groupBy)\n\t\t\t// but different sortBy/page hit the DB only once.\n\t\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n\t\t\t\tkey := statsCacheKey(filter, groupBy, reqFields)\n\t\t\t\tvar allStats []*model.JobsStatistics\n\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)\n\t\t\t\t})\n\t\t\t\tif err == nil {\n\t\t\t\t\tstats = sortAndPageStats(allStats, sortBy, page)\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\t}\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {\n\t\tstats = make([]*model.JobsStatistics, 0, 1)\n\t\tstats = append(stats, &model.JobsStatistics{})\n\t}\n\n\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n\t// Only run separate count queries if main stats were not fetched.\n\tif !fetchedMainStats {\n\t\tif groupBy != nil {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n\t\t\t}\n\t\t} else {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n\t\t\t}\n\t\t}\n\t}\n\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif requireField(ctx, \"histDuration\") || requireField(ctx, \"histNumNodes\") || requireField(ctx, \"histNumCores\") || requireField(ctx, \"histNumAccs\") {\n\n\t\tif numDurationBins == nil {\n\t\t\tnumDurationBins = &defaultDurationBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddHistograms(ctx, filter, stats[0], numDurationBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\tif requireField(ctx, \"histMetrics\") {\n\n\t\tif numMetricBins == nil {\n\t\t\tnumMetricBins = &defaultMetricBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddMetricHistograms(ctx, filter, metrics, stats[0], numMetricBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"metric histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// JobsMetricStats is the resolver for the jobsMetricStats field.\nfunc (r *queryResolver) JobsMetricStats(ctx context.Context, filter []*model.JobFilter, metrics []string) ([]*model.JobStats, error) {\n\t// No Paging, Fixed Order by StartTime ASC\n\torder := &model.OrderByInput{\n\t\tField: \"startTime\",\n\t\tType:  \"col\",\n\t\tOrder: \"ASC\",\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, nil, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs for comparison\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobStats{}\n\tfor _, job := range jobs {\n\t\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading comparison jobStats data for job id %d\", job.JobID)\n\t\t\tcontinue\n\t\t\t// return nil, err\n\t\t}\n\n\t\tsres := []*model.NamedStats{}\n\t\tfor name, md := range data {\n\t\t\tsres = append(sres, &model.NamedStats{\n\t\t\t\tName: name,\n\t\t\t\tData: &md,\n\t\t\t})\n\t\t}\n\n\t\tnumThreadsInt := int(job.NumHWThreads)\n\t\tnumAccsInt := int(job.NumAcc)\n\t\tres = append(res, &model.JobStats{\n\t\t\tID:              int(*job.ID),\n\t\t\tJobID:           strconv.Itoa(int(job.JobID)),\n\t\t\tStartTime:       int(job.StartTime),\n\t\t\tDuration:        int(job.Duration),\n\t\t\tCluster:         job.Cluster,\n\t\t\tSubCluster:      job.SubCluster,\n\t\t\tNumNodes:        int(job.NumNodes),\n\t\t\tNumHWThreads:    &numThreadsInt,\n\t\t\tNumAccelerators: &numAccsInt,\n\t\t\tStats:           sres,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// JobsFootprints is the resolver for the jobsFootprints field.\nfunc (r *queryResolver) JobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n\t// NOTE: Legacy Naming! This resolver is for normalized histograms in analysis view only - *Not* related to DB \"footprint\" column!\n\treturn r.jobsFootprints(ctx, filter, metrics)\n}\n\n// RooflineHeatmap is the resolver for the rooflineHeatmap field.\nfunc (r *queryResolver) RooflineHeatmap(ctx context.Context, filter []*model.JobFilter, rows int, cols int, minX float64, minY float64, maxX float64, maxY float64) ([][]float64, error) {\n\treturn r.rooflineHeatmap(ctx, filter, rows, cols, minX, minY, maxX, maxY)\n}\n\n// NodeMetrics is the resolver for the nodeMetrics field.\nfunc (r *queryResolver) NodeMetrics(ctx context.Context, cluster string, nodes []string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time) ([]*model.NodeMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tdefaultMetrics := make([]string, 0)\n\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\tdefaultMetrics = append(defaultMetrics, mc.Name)\n\t}\n\tif metrics == nil {\n\t\tmetrics = defaultMetrics\n\t} else {\n\t\tmetrics = slices.DeleteFunc(metrics, func(metric string) bool {\n\t\t\treturn !slices.Contains(defaultMetrics, metric) // Remove undefined metrics.\n\t\t})\n\t}\n\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\tnodeStateMap, metricHealthMap, _ := nodeRepo.MapNodes(cluster)\n\n\tnodeMetrics := make([]*model.NodeMetrics, 0, len(data))\n\tfor hostname, metrics := range data {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost:         hostname,\n\t\t\tNodeState:    nodeStateMap[hostname],\n\t\t\tMetricHealth: metricHealthMap[hostname],\n\t\t\tMetrics:      make([]*model.JobMetricWithName, 0, len(metrics)*len(scopes)),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName:   metric,\n\t\t\t\t\tScope:  schema.MetricScopeNode,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetrics = append(nodeMetrics, host)\n\t}\n\n\treturn nodeMetrics, nil\n}\n\n// NodeMetricsList is the resolver for the nodeMetricsList field.\nfunc (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int, resampleAlgo *model.ResampleAlgo) (*model.NodesResultList, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\t// nodes -> array hostname\n\tnodes, nodeStateMap, metricHealthMap, countNodes, hasNextPage, nerr := nodeRepo.GetNodesForList(ctx, cluster, subCluster, stateFilter, nodeFilter, page)\n\tif nerr != nil {\n\t\treturn nil, errors.New(\"could not retrieve node list required for resolving NodeMetricsList\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\talgoName := \"\"\n\tif resampleAlgo != nil {\n\t\talgoName = strings.ToLower(resampleAlgo.String())\n\t}\n\n\t// data -> map hostname:jobdata\n\tdata, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx, algoName)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data (Resolver.NodeMetricsList\")\n\t\treturn nil, err\n\t}\n\n\tnodeMetricsList := make([]*model.NodeMetrics, 0, len(data))\n\tfor _, hostname := range nodes {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost:         hostname,\n\t\t\tNodeState:    nodeStateMap[hostname],\n\t\t\tMetricHealth: metricHealthMap[hostname],\n\t\t\tMetrics:      make([]*model.JobMetricWithName, 0),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range data[hostname] {\n\t\t\tfor scope, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName:   metric,\n\t\t\t\t\tScope:  scope,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetricsList = append(nodeMetricsList, host)\n\t}\n\n\tnodeMetricsListResult := &model.NodesResultList{\n\t\tItems: nodeMetricsList,\n\t\t// TotalNodes depends on sum of nodes grouped on latest timestamp, see repo/node.go:357\n\t\tTotalNodes:  &countNodes,\n\t\tHasNextPage: &hasNextPage,\n\t}\n\n\treturn nodeMetricsListResult, nil\n}\n\n// ClusterMetrics is the resolver for the clusterMetrics field.\nfunc (r *queryResolver) ClusterMetrics(ctx context.Context, cluster string, metrics []string, from time.Time, to time.Time) (*model.ClusterMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\t// 'nodes' == nil -> Defaults to all nodes of cluster for existing query workflow\n\tscopes := []schema.MetricScope{\"node\"}\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nil, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tclusterMetricData := make([]*model.ClusterMetricWithName, 0)\n\tclusterMetrics := model.ClusterMetrics{NodeCount: 0, Metrics: clusterMetricData}\n\n\tcollectorTimestep := make(map[string]int)\n\tcollectorUnit := make(map[string]schema.Unit)\n\tcollectorData := make(map[string][]schema.Float)\n\n\tfor _, metrics := range data {\n\t\tclusterMetrics.NodeCount += 1\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\t// Collect Info Once\n\t\t\t\t_, okTimestep := collectorTimestep[metric]\n\t\t\t\tif !okTimestep {\n\t\t\t\t\tcollectorTimestep[metric] = scopedMetric.Timestep\n\t\t\t\t}\n\t\t\t\t_, okUnit := collectorUnit[metric]\n\t\t\t\tif !okUnit {\n\t\t\t\t\tcollectorUnit[metric] = scopedMetric.Unit\n\t\t\t\t}\n\t\t\t\t// Collect Data\n\t\t\t\tfor _, ser := range scopedMetric.Series {\n\t\t\t\t\t_, okData := collectorData[metric]\n\t\t\t\t\t// Init With Datasize > 0\n\t\t\t\t\tif !okData && len(ser.Data) != 0 {\n\t\t\t\t\t\tcollectorData[metric] = make([]schema.Float, len(ser.Data))\n\t\t\t\t\t} else if !okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip init: no data -> %s at %s; size %d\", metric, ser.Hostname, len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t\t// Sum if init'd and matching size\n\t\t\t\t\tif okData && len(ser.Data) == len(collectorData[metric]) {\n\t\t\t\t\t\tfor i, val := range ser.Data {\n\t\t\t\t\t\t\tif val.IsNaN() {\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tcollectorData[metric][i] += val\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else if okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip sum: data diff -> %s at %s; want size %d, have size %d\", metric, ser.Hostname, len(collectorData[metric]), len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tfor metricName, data := range collectorData {\n\t\t// use ccUnits for backend normalization to \"Tera\"\n\t\tp_old := ccunit.NewPrefix(collectorUnit[metricName].Prefix)\n\t\tp_new := ccunit.NewPrefix(\"T\")\n\t\tconvFunc := ccunit.GetPrefixPrefixFactor(p_old, p_new)\n\t\tu_new := schema.Unit{Prefix: p_new.Prefix(), Base: collectorUnit[metricName].Base}\n\n\t\troundedData := make([]schema.Float, 0)\n\t\tfor _, v_old := range data {\n\t\t\tv_new := math.Round(convFunc(float64(v_old)).(float64)*100.0) / 100.0\n\t\t\troundedData = append(roundedData, schema.Float(v_new))\n\t\t}\n\n\t\tcm := model.ClusterMetricWithName{\n\t\t\tName:     metricName,\n\t\t\tUnit:     &u_new,\n\t\t\tTimestep: collectorTimestep[metricName],\n\t\t\tData:     roundedData,\n\t\t}\n\n\t\tclusterMetrics.Metrics = append(clusterMetrics.Metrics, &cm)\n\t}\n\n\treturn &clusterMetrics, nil\n}\n\n// NumberOfNodes is the resolver for the numberOfNodes field.\nfunc (r *subClusterResolver) NumberOfNodes(ctx context.Context, obj *schema.SubCluster) (int, error) {\n\tnodeList, err := archive.ParseNodeList(obj.Nodes)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn nodeList.NodeCount(), nil\n}\n\n// Cluster returns generated.ClusterResolver implementation.\nfunc (r *Resolver) Cluster() generated.ClusterResolver { return &clusterResolver{r} }\n\n// Job returns generated.JobResolver implementation.\nfunc (r *Resolver) Job() generated.JobResolver { return &jobResolver{r} }\n\n// MetricValue returns generated.MetricValueResolver implementation.\nfunc (r *Resolver) MetricValue() generated.MetricValueResolver { return &metricValueResolver{r} }\n\n// Mutation returns generated.MutationResolver implementation.\nfunc (r *Resolver) Mutation() generated.MutationResolver { return &mutationResolver{r} }\n\n// Node returns generated.NodeResolver implementation.\nfunc (r *Resolver) Node() generated.NodeResolver { return &nodeResolver{r} }\n\n// Query returns generated.QueryResolver implementation.\nfunc (r *Resolver) Query() generated.QueryResolver { return &queryResolver{r} }\n\n// SubCluster returns generated.SubClusterResolver implementation.\nfunc (r *Resolver) SubCluster() generated.SubClusterResolver { return &subClusterResolver{r} }\n\ntype clusterResolver struct{ *Resolver }\ntype jobResolver struct{ *Resolver }\ntype metricValueResolver struct{ *Resolver }\ntype mutationResolver struct{ *Resolver }\ntype nodeResolver struct{ *Resolver }\ntype queryResolver struct{ *Resolver }\ntype subClusterResolver struct{ *Resolver }\n","structuredPatch":[{"oldStart":879,"oldLines":11,"newStart":879,"newLines":16,"lines":[" "," // NodeMetricsList is the resolver for the nodeMetricsList field."," func (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int, resampleAlgo *model.ResampleAlgo) (*model.NodesResultList, error) {","-  if resolution == nil { // Load from Config","+  // Resolve resolution: explicit param > user policy > global config > 0","+  duration := int64(to.Sub(from).Seconds())","+  if resolution == nil {","+    resolution = resolveResolutionFromPolicy(ctx, duration, cluster, metrics)","+  }","+  if resolution == nil {","     if config.Keys.EnableResampling != nil {","       defaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)","       resolution = &defaultRes","-    } else { // Set 0 (Loads configured metric timestep)","+    } else {","       defaultRes := 0","       resolution = &defaultRes","     }"]},{"oldStart":907,"oldLines":10,"newStart":912,"newLines":7,"lines":["     }","   }"," ","-  algoName := \"\"","-  if resampleAlgo != nil {","-    algoName = strings.ToLower(resampleAlgo.String())","-  }","+  algoName := resolveResampleAlgo(ctx, resampleAlgo)"," ","   // data -> map hostname:jobdata","   data, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx, algoName)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"90631c79-01c4-4717-a236-cd841fb4a233","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
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+{"parentUuid":"e0907a14-2bf8-4f9c-b8f2-3eaf26167854","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_019vQugxAb8X6H96d328LhV4","toolUseID":"toolu_019vQugxAb8X6H96d328LhV4","timestamp":"2026-03-20T04:25:41.261Z","uuid":"44136b83-02a4-42f1-8ee0-8de60990e100","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"e0907a14-2bf8-4f9c-b8f2-3eaf26167854","isSidechain":false,"promptId":"0763b03c-10c2-419e-8e69-b6ee9bffed71","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019vQugxAb8X6H96d328LhV4","type":"tool_result","content":"  1000→\t\t\t\t}\n  1001→\t\t\t\t// Collect Data\n  1002→\t\t\t\tfor _, ser := range scopedMetric.Series {\n  1003→\t\t\t\t\t_, okData := collectorData[metric]\n  1004→\t\t\t\t\t// Init With Datasize > 0\n  1005→\t\t\t\t\tif !okData && len(ser.Data) != 0 {\n  1006→\t\t\t\t\t\tcollectorData[metric] = make([]schema.Float, len(ser.Data))\n  1007→\t\t\t\t\t} else if !okData {\n  1008→\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip init: no data -> %s at %s; size %d\", metric, ser.Hostname, len(ser.Data))\n  1009→\t\t\t\t\t}\n  1010→\t\t\t\t\t// Sum if init'd and matching size\n  1011→\t\t\t\t\tif okData && len(ser.Data) == len(collectorData[metric]) {\n  1012→\t\t\t\t\t\tfor i, val := range ser.Data {\n  1013→\t\t\t\t\t\t\tif val.IsNaN() {\n  1014→\t\t\t\t\t\t\t\tcontinue\n  1015→\t\t\t\t\t\t\t} else {\n  1016→\t\t\t\t\t\t\t\tcollectorData[metric][i] += val\n  1017→\t\t\t\t\t\t\t}\n  1018→\t\t\t\t\t\t}\n  1019→\t\t\t\t\t} else if okData {\n  1020→\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip sum: data diff -> %s at %s; want size %d, have size %d\", metric, ser.Hostname, len(collectorData[metric]), len(ser.Data))\n  1021→\t\t\t\t\t}\n  1022→\t\t\t\t}\n  1023→\t\t\t}\n  1024→\t\t}\n  1025→\t}\n  1026→\n  1027→\tfor metricName, data := range collectorData {\n  1028→\t\t// use ccUnits for backend normalization to \"Tera\"\n  1029→\t\tp_old := ccunit.NewPrefix(collectorUnit[metricName].Prefix)"}]},"uuid":"da3269ef-76a8-4883-ba28-219327fcb2b1","timestamp":"2026-03-20T04:25:41.261Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/internal/graph/schema.resolvers.go","content":"\t\t\t\t}\n\t\t\t\t// Collect Data\n\t\t\t\tfor _, ser := range scopedMetric.Series {\n\t\t\t\t\t_, okData := collectorData[metric]\n\t\t\t\t\t// Init With Datasize > 0\n\t\t\t\t\tif !okData && len(ser.Data) != 0 {\n\t\t\t\t\t\tcollectorData[metric] = make([]schema.Float, len(ser.Data))\n\t\t\t\t\t} else if !okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip init: no data -> %s at %s; size %d\", metric, ser.Hostname, len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t\t// Sum if init'd and matching size\n\t\t\t\t\tif okData && len(ser.Data) == len(collectorData[metric]) {\n\t\t\t\t\t\tfor i, val := range ser.Data {\n\t\t\t\t\t\t\tif val.IsNaN() {\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tcollectorData[metric][i] += val\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else if okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip sum: data diff -> %s at %s; want size %d, have size %d\", metric, ser.Hostname, len(collectorData[metric]), len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tfor metricName, data := range collectorData {\n\t\t// use ccUnits for backend normalization to \"Tera\"\n\t\tp_old := ccunit.NewPrefix(collectorUnit[metricName].Prefix)","numLines":30,"startLine":1000,"totalLines":1090}},"sourceToolAssistantUUID":"e0907a14-2bf8-4f9c-b8f2-3eaf26167854","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"da3269ef-76a8-4883-ba28-219327fcb2b1","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01LAYGpecHHb59u2kWH5PpH2","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016L86shmSgps2TwQfS4gQJ5","name":"Bash","input":{"command":"tail -5 /Users/jan/tmp/cc-backend/internal/graph/schema.resolvers.go","description":"Check end of resolvers file"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":746,"cache_read_input_tokens":48606,"output_tokens":98,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":746,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDhQg4e19m56F4Y1gtvn","type":"assistant","uuid":"1a3e3489-d388-49c9-bbf2-72be850c50fc","timestamp":"2026-03-20T04:25:44.440Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"1a3e3489-d388-49c9-bbf2-72be850c50fc","isSidechain":false,"promptId":"0763b03c-10c2-419e-8e69-b6ee9bffed71","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016L86shmSgps2TwQfS4gQJ5","type":"tool_result","content":"type metricValueResolver struct{ *Resolver }\ntype mutationResolver struct{ *Resolver }\ntype nodeResolver struct{ *Resolver }\ntype queryResolver struct{ *Resolver }\ntype subClusterResolver struct{ *Resolver }","is_error":false}]},"uuid":"63029d9e-be12-45fe-9f69-0cd80837dab3","timestamp":"2026-03-20T04:25:44.494Z","toolUseResult":{"stdout":"type metricValueResolver struct{ *Resolver }\ntype mutationResolver struct{ *Resolver }\ntype nodeResolver struct{ *Resolver }\ntype queryResolver struct{ *Resolver }\ntype subClusterResolver struct{ *Resolver }","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"1a3e3489-d388-49c9-bbf2-72be850c50fc","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
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+{"parentUuid":"48b6dba2-f0ba-4ac0-bf9f-b2ff226a753d","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01KWy8fwDHE9RDdWpwcwX9nM","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01135zsAHgX8bWhqNUKH9hXS","name":"Write","input":{"file_path":"/Users/jan/tmp/cc-backend/internal/graph/resample.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage graph\n\nimport (\n\t\"context\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n)\n\n// resolveResolutionFromPolicy reads the user's resample policy preference and\n// computes a resolution based on job duration and metric frequency. Returns nil\n// if the user has no policy set.\nfunc resolveResolutionFromPolicy(ctx context.Context, duration int64, cluster string, metrics []string) *int {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil\n\t}\n\n\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n\tif err != nil {\n\t\treturn nil\n\t}\n\n\tpolicyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]\n\tif !ok {\n\t\treturn nil\n\t}\n\tpolicyStr, ok := policyVal.(string)\n\tif !ok || policyStr == \"\" {\n\t\treturn nil\n\t}\n\n\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n\tif targetPoints == 0 {\n\t\treturn nil\n\t}\n\n\t// Find the smallest metric frequency across the requested metrics\n\tfrequency := smallestFrequency(cluster, metrics)\n\tif frequency <= 0 {\n\t\treturn nil\n\t}\n\n\tres := metricdispatch.ComputeResolution(duration, int64(frequency), targetPoints)\n\treturn &res\n}\n\n// resolveResampleAlgo returns the resampling algorithm name to use, checking\n// the explicit GraphQL parameter first, then the user's preference.\nfunc resolveResampleAlgo(ctx context.Context, resampleAlgo *model.ResampleAlgo) string {\n\tif resampleAlgo != nil {\n\t\treturn strings.ToLower(resampleAlgo.String())\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn \"\"\n\t}\n\n\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n\tif err != nil {\n\t\treturn \"\"\n\t}\n\n\talgoVal, ok := conf[\"plotConfiguration_resampleAlgo\"]\n\tif !ok {\n\t\treturn \"\"\n\t}\n\talgoStr, ok := algoVal.(string)\n\tif !ok {\n\t\treturn \"\"\n\t}\n\n\treturn algoStr\n}\n\n// smallestFrequency returns the smallest metric timestep (in seconds) among the\n// requested metrics for the given cluster. Falls back to 0 if nothing is found.\nfunc smallestFrequency(cluster string, metrics []string) int {\n\tcl := archive.GetCluster(cluster)\n\tif cl == nil {\n\t\treturn 0\n\t}\n\n\tminFreq := 0\n\tfor _, mc := range cl.MetricConfig {\n\t\tif len(metrics) > 0 {\n\t\t\tfound := false\n\t\t\tfor _, m := range metrics {\n\t\t\t\tif mc.Name == m {\n\t\t\t\t\tfound = true\n\t\t\t\t\tbreak\n\t\t\t\t}\n\t\t\t}\n\t\t\tif !found {\n\t\t\t\tcontinue\n\t\t\t}\n\t\t}\n\t\tif minFreq == 0 || mc.Timestep < minFreq {\n\t\t\tminFreq = mc.Timestep\n\t\t}\n\t}\n\n\treturn minFreq\n}\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":274,"cache_read_input_tokens":49352,"output_tokens":1044,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":274,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDhQuqcgFxsRS8F5hPzv","type":"assistant","uuid":"c982c889-da83-4b4e-aede-35facac5f490","timestamp":"2026-03-20T04:25:58.540Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
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+{"parentUuid":"c982c889-da83-4b4e-aede-35facac5f490","isSidechain":false,"promptId":"0763b03c-10c2-419e-8e69-b6ee9bffed71","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01135zsAHgX8bWhqNUKH9hXS","type":"tool_result","content":"File created successfully at: /Users/jan/tmp/cc-backend/internal/graph/resample.go"}]},"uuid":"c65ca3f6-0f21-4b3b-9f92-9ed089973cb1","timestamp":"2026-03-20T04:25:58.555Z","toolUseResult":{"type":"create","filePath":"/Users/jan/tmp/cc-backend/internal/graph/resample.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage graph\n\nimport (\n\t\"context\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n)\n\n// resolveResolutionFromPolicy reads the user's resample policy preference and\n// computes a resolution based on job duration and metric frequency. Returns nil\n// if the user has no policy set.\nfunc resolveResolutionFromPolicy(ctx context.Context, duration int64, cluster string, metrics []string) *int {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil\n\t}\n\n\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n\tif err != nil {\n\t\treturn nil\n\t}\n\n\tpolicyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]\n\tif !ok {\n\t\treturn nil\n\t}\n\tpolicyStr, ok := policyVal.(string)\n\tif !ok || policyStr == \"\" {\n\t\treturn nil\n\t}\n\n\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n\tif targetPoints == 0 {\n\t\treturn nil\n\t}\n\n\t// Find the smallest metric frequency across the requested metrics\n\tfrequency := smallestFrequency(cluster, metrics)\n\tif frequency <= 0 {\n\t\treturn nil\n\t}\n\n\tres := metricdispatch.ComputeResolution(duration, int64(frequency), targetPoints)\n\treturn &res\n}\n\n// resolveResampleAlgo returns the resampling algorithm name to use, checking\n// the explicit GraphQL parameter first, then the user's preference.\nfunc resolveResampleAlgo(ctx context.Context, resampleAlgo *model.ResampleAlgo) string {\n\tif resampleAlgo != nil {\n\t\treturn strings.ToLower(resampleAlgo.String())\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn \"\"\n\t}\n\n\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n\tif err != nil {\n\t\treturn \"\"\n\t}\n\n\talgoVal, ok := conf[\"plotConfiguration_resampleAlgo\"]\n\tif !ok {\n\t\treturn \"\"\n\t}\n\talgoStr, ok := algoVal.(string)\n\tif !ok {\n\t\treturn \"\"\n\t}\n\n\treturn algoStr\n}\n\n// smallestFrequency returns the smallest metric timestep (in seconds) among the\n// requested metrics for the given cluster. Falls back to 0 if nothing is found.\nfunc smallestFrequency(cluster string, metrics []string) int {\n\tcl := archive.GetCluster(cluster)\n\tif cl == nil {\n\t\treturn 0\n\t}\n\n\tminFreq := 0\n\tfor _, mc := range cl.MetricConfig {\n\t\tif len(metrics) > 0 {\n\t\t\tfound := false\n\t\t\tfor _, m := range metrics {\n\t\t\t\tif mc.Name == m {\n\t\t\t\t\tfound = true\n\t\t\t\t\tbreak\n\t\t\t\t}\n\t\t\t}\n\t\t\tif !found {\n\t\t\t\tcontinue\n\t\t\t}\n\t\t}\n\t\tif minFreq == 0 || mc.Timestep < minFreq {\n\t\t\tminFreq = mc.Timestep\n\t\t}\n\t}\n\n\treturn minFreq\n}\n","structuredPatch":[],"originalFile":null},"sourceToolAssistantUUID":"c982c889-da83-4b4e-aede-35facac5f490","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"c65ca3f6-0f21-4b3b-9f92-9ed089973cb1","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01BtPQ7bk1nb33Y1ETraZkxL","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me update the frontend files. First, update `MetricPlot.svelte` to support policy-based dynamic resolution."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1080,"cache_read_input_tokens":49626,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1080},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDhRx27fJyLQYqtQzCAc","type":"assistant","uuid":"da882167-7670-4ad7-b6b4-080d5872f196","timestamp":"2026-03-20T04:26:02.612Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"da882167-7670-4ad7-b6b4-080d5872f196","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01BtPQ7bk1nb33Y1ETraZkxL","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SjGoxcNPogLurnZbArHxwp","name":"Read","input":{"file_path":"/Users/jan/tmp/cc-backend/web/frontend/src/generic/plots/MetricPlot.svelte","offset":75,"limit":10},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1080,"cache_read_input_tokens":49626,"output_tokens":143,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1080,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDhRx27fJyLQYqtQzCAc","type":"assistant","uuid":"560f2e6e-3ece-499c-95cc-85291088820a","timestamp":"2026-03-20T04:26:03.069Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"560f2e6e-3ece-499c-95cc-85291088820a","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01SjGoxcNPogLurnZbArHxwp","toolUseID":"toolu_01SjGoxcNPogLurnZbArHxwp","timestamp":"2026-03-20T04:26:03.082Z","uuid":"2d126094-6cb0-44ae-b7e3-2dc1504abf4c","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"560f2e6e-3ece-499c-95cc-85291088820a","isSidechain":false,"promptId":"0763b03c-10c2-419e-8e69-b6ee9bffed71","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SjGoxcNPogLurnZbArHxwp","type":"tool_result","content":"    75→  const usesMeanStatsSeries = $derived((statisticsSeries?.mean && statisticsSeries.mean.length != 0));\n    76→  const resampleTrigger = $derived(resampleConfig?.trigger ? Number(resampleConfig.trigger) : null);\n    77→  const resampleResolutions = $derived(resampleConfig?.resolutions ? [...resampleConfig.resolutions] : null);\n    78→  const resampleMinimum = $derived(resampleConfig?.resolutions ? Math.min(...resampleConfig.resolutions) : null);\n    79→  const useStatsSeries = $derived(!!statisticsSeries); // Display Stats Series By Default if Exists\n    80→  const thresholds = $derived(findJobAggregationThresholds(\n    81→    subClusterTopology,\n    82→    metricConfig,\n    83→    scope\n    84→  ));"}]},"uuid":"6d4fbc82-250c-4ea8-b7d3-8c45a56dc3b2","timestamp":"2026-03-20T04:26:03.081Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/web/frontend/src/generic/plots/MetricPlot.svelte","content":"  const usesMeanStatsSeries = $derived((statisticsSeries?.mean && statisticsSeries.mean.length != 0));\n  const resampleTrigger = $derived(resampleConfig?.trigger ? Number(resampleConfig.trigger) : null);\n  const resampleResolutions = $derived(resampleConfig?.resolutions ? [...resampleConfig.resolutions] : null);\n  const resampleMinimum = $derived(resampleConfig?.resolutions ? Math.min(...resampleConfig.resolutions) : null);\n  const useStatsSeries = $derived(!!statisticsSeries); // Display Stats Series By Default if Exists\n  const thresholds = $derived(findJobAggregationThresholds(\n    subClusterTopology,\n    metricConfig,\n    scope\n  ));","numLines":10,"startLine":75,"totalLines":626}},"sourceToolAssistantUUID":"560f2e6e-3ece-499c-95cc-85291088820a","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"6d4fbc82-250c-4ea8-b7d3-8c45a56dc3b2","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017evQ5vBXHCaJBMfwJ5Aiqq","type":"message","role":"assistant","content":[{"type":"text","text":"Let me fix the type issue in the resolver first."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":463,"cache_read_input_tokens":50706,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":463},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDhSHSQrcwG23TdA4mnK","type":"assistant","uuid":"d69fb91b-3239-4edf-ac5e-ebc1bec6421e","timestamp":"2026-03-20T04:26:05.420Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"d69fb91b-3239-4edf-ac5e-ebc1bec6421e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017evQ5vBXHCaJBMfwJ5Aiqq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017fEe9XTu3tWNwbmXvhtuu3","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/tmp/cc-backend/internal/graph/schema.resolvers.go","old_string":"\t\tresolution = resolveResolutionFromPolicy(ctx, job.Duration, job.Cluster, metrics)","new_string":"\t\tresolution = resolveResolutionFromPolicy(ctx, int64(job.Duration), job.Cluster, metrics)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":463,"cache_read_input_tokens":50706,"output_tokens":189,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":463,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDhSHSQrcwG23TdA4mnK","type":"assistant","uuid":"de104f06-6e37-4c37-a349-6a3cb2106733","timestamp":"2026-03-20T04:26:06.632Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
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+{"parentUuid":"de104f06-6e37-4c37-a349-6a3cb2106733","isSidechain":false,"promptId":"0763b03c-10c2-419e-8e69-b6ee9bffed71","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017fEe9XTu3tWNwbmXvhtuu3","type":"tool_result","content":"The file /Users/jan/tmp/cc-backend/internal/graph/schema.resolvers.go has been updated successfully."}]},"uuid":"94c4ae5e-2564-4146-b6d1-aa2d043948df","timestamp":"2026-03-20T04:26:06.658Z","toolUseResult":{"filePath":"/Users/jan/tmp/cc-backend/internal/graph/schema.resolvers.go","oldString":"\t\tresolution = resolveResolutionFromPolicy(ctx, job.Duration, job.Cluster, metrics)","newString":"\t\tresolution = resolveResolutionFromPolicy(ctx, int64(job.Duration), job.Cluster, metrics)","originalFile":"package graph\n\n// This file will be automatically regenerated based on the schema, any resolver\n// implementations\n// will be copied through when generating and any unknown code will be moved to the end.\n// Code generated by github.com/99designs/gqlgen version v0.17.88\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"math\"\n\t\"regexp\"\n\t\"slices\"\n\t\"strconv\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tccunit \"github.com/ClusterCockpit/cc-lib/v2/ccUnits\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Partitions is the resolver for the partitions field.\nfunc (r *clusterResolver) Partitions(ctx context.Context, obj *schema.Cluster) ([]string, error) {\n\treturn r.Repo.Partitions(obj.Name)\n}\n\n// StartTime is the resolver for the startTime field.\nfunc (r *jobResolver) StartTime(ctx context.Context, obj *schema.Job) (*time.Time, error) {\n\ttimestamp := time.Unix(obj.StartTime, 0)\n\treturn &timestamp, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *jobResolver) Tags(ctx context.Context, obj *schema.Job) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), obj.ID)\n}\n\n// ConcurrentJobs is the resolver for the concurrentJobs field.\nfunc (r *jobResolver) ConcurrentJobs(ctx context.Context, obj *schema.Job) (*model.JobLinkResultList, error) {\n\t// FIXME: Make the hardcoded duration configurable\n\tif obj.Shared != \"none\" && obj.Duration > 600 {\n\t\treturn r.Repo.FindConcurrentJobs(ctx, obj)\n\t}\n\n\treturn nil, nil\n}\n\n// Footprint is the resolver for the footprint field.\nfunc (r *jobResolver) Footprint(ctx context.Context, obj *schema.Job) ([]*model.FootprintValue, error) {\n\trawFootprint, err := r.Repo.FetchFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.FootprintValue{}\n\tfor name, value := range rawFootprint {\n\n\t\tparts := strings.Split(name, \"_\")\n\t\tstatPart := parts[len(parts)-1]\n\t\tnameParts := parts[:len(parts)-1]\n\n\t\tres = append(res, &model.FootprintValue{\n\t\t\tName:  strings.Join(nameParts, \"_\"),\n\t\t\tStat:  statPart,\n\t\t\tValue: value,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// EnergyFootprint is the resolver for the energyFootprint field.\nfunc (r *jobResolver) EnergyFootprint(ctx context.Context, obj *schema.Job) ([]*model.EnergyFootprintValue, error) {\n\trawEnergyFootprint, err := r.Repo.FetchEnergyFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job energy footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.EnergyFootprintValue{}\n\tfor name, value := range rawEnergyFootprint {\n\t\t// Suboptimal: Nearly hardcoded metric name expectations\n\t\tmatchCPU := regexp.MustCompile(`cpu|Cpu|CPU`)\n\t\tmatchAcc := regexp.MustCompile(`acc|Acc|ACC`)\n\t\tmatchMem := regexp.MustCompile(`mem|Mem|MEM`)\n\t\tmatchCore := regexp.MustCompile(`core|Core|CORE`)\n\n\t\thwType := \"\"\n\t\tswitch test := name; { // NOtice ';' for var declaration\n\t\tcase matchCPU.MatchString(test):\n\t\t\thwType = \"CPU\"\n\t\tcase matchAcc.MatchString(test):\n\t\t\thwType = \"Accelerator\"\n\t\tcase matchMem.MatchString(test):\n\t\t\thwType = \"Memory\"\n\t\tcase matchCore.MatchString(test):\n\t\t\thwType = \"Core\"\n\t\tdefault:\n\t\t\thwType = \"Other\"\n\t\t}\n\n\t\tres = append(res, &model.EnergyFootprintValue{\n\t\t\tHardware: hwType,\n\t\t\tMetric:   name,\n\t\t\tValue:    value,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *jobResolver) MetaData(ctx context.Context, obj *schema.Job) (any, error) {\n\treturn r.Repo.FetchMetadata(obj)\n}\n\n// UserData is the resolver for the userData field.\nfunc (r *jobResolver) UserData(ctx context.Context, obj *schema.Job) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, obj.User)\n}\n\n// Name is the resolver for the name field.\nfunc (r *metricValueResolver) Name(ctx context.Context, obj *schema.MetricValue) (*string, error) {\n\tpanic(fmt.Errorf(\"not implemented: Name - name\"))\n}\n\n// CreateTag is the resolver for the createTag field.\nfunc (r *mutationResolver) CreateTag(ctx context.Context, typeArg string, name string, scope string) (*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\tif user.HasRole(schema.RoleAdmin) && scope == \"admin\" ||\n\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && scope == \"global\" ||\n\t\tuser.Username == scope {\n\t\t// Create in DB\n\t\tid, err := r.Repo.CreateTag(typeArg, name, scope)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while creating tag\")\n\t\t\treturn nil, err\n\t\t}\n\t\treturn &schema.Tag{ID: id, Type: typeArg, Name: name, Scope: scope}, nil\n\t} else {\n\t\tcclog.Warnf(\"Not authorized to create tag with scope: %s\", scope)\n\t\treturn nil, fmt.Errorf(\"not authorized to create tag with scope: %s\", scope)\n\t}\n}\n\n// DeleteTag is the resolver for the deleteTag field.\nfunc (r *mutationResolver) DeleteTag(ctx context.Context, id string) (string, error) {\n\t// This Uses ID string <-> ID string, removeTagFromList uses []string <-> []int\n\tpanic(fmt.Errorf(\"not implemented: DeleteTag - deleteTag\"))\n}\n\n// AddTagsToJob is the resolver for the addTagsToJob field.\nfunc (r *mutationResolver) AddTagsToJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while adding tag to job\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Add to Job\n\t\t\tif tags, err = r.Repo.AddTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while adding tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to add tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to add tag: %d\", tid)\n\t\t}\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagsFromJob is the resolver for the removeTagsFromJob field.\nfunc (r *mutationResolver) RemoveTagsFromJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Remove from Job\n\t\t\tif tags, err = r.Repo.RemoveTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagFromList is the resolver for the removeTagFromList field.\nfunc (r *mutationResolver) RemoveTagFromList(ctx context.Context, tagIds []string) ([]int, error) {\n\t// Needs Contextuser\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\ttags := []int{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id for removal\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && (tscope == \"global\" || tscope == \"admin\") || user.Username == tscope {\n\t\t\t// Remove from DB\n\t\t\tif err = r.Repo.RemoveTagByID(tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t} else {\n\t\t\t\ttags = append(tags, int(tid))\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\t}\n\treturn tags, nil\n}\n\n// UpdateConfiguration is the resolver for the updateConfiguration field.\nfunc (r *mutationResolver) UpdateConfiguration(ctx context.Context, name string, value string) (*string, error) {\n\tif err := repository.GetUserCfgRepo().UpdateConfig(name, value, repository.GetUserFromContext(ctx)); err != nil {\n\t\tcclog.Warn(\"Error while updating user config\")\n\t\treturn nil, err\n\t}\n\n\treturn nil, nil\n}\n\n// ID is the resolver for the id field.\nfunc (r *nodeResolver) ID(ctx context.Context, obj *schema.Node) (string, error) {\n\tpanic(fmt.Errorf(\"not implemented: ID - id\"))\n}\n\n// SchedulerState is the resolver for the schedulerState field.\nfunc (r *nodeResolver) SchedulerState(ctx context.Context, obj *schema.Node) (schema.SchedulerState, error) {\n\tif obj.NodeState != \"\" {\n\t\treturn obj.NodeState, nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no SchedulerState (NodeState) on node object\")\n\t}\n}\n\n// HealthState is the resolver for the healthState field.\nfunc (r *nodeResolver) HealthState(ctx context.Context, obj *schema.Node) (string, error) {\n\tif obj.HealthState != \"\" {\n\t\treturn string(obj.HealthState), nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no HealthState (NodeState) on node object\")\n\t}\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *nodeResolver) MetaData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.MetaData != nil {\n\t\treturn obj.MetaData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no MetaData (NodeState) on node object\")\n\t\temptyMeta := make(map[string]string, 0)\n\t\treturn emptyMeta, nil\n\t}\n}\n\n// HealthData is the resolver for the healthData field.\nfunc (r *nodeResolver) HealthData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.HealthData != nil {\n\t\treturn obj.HealthData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no HealthData (NodeState) on node object\")\n\t\temptyHealth := make(map[string][]string, 0)\n\t\treturn emptyHealth, nil\n\t}\n}\n\n// Clusters is the resolver for the clusters field.\nfunc (r *queryResolver) Clusters(ctx context.Context) ([]*schema.Cluster, error) {\n\treturn archive.Clusters, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *queryResolver) Tags(ctx context.Context) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), nil)\n}\n\n// GlobalMetrics is the resolver for the globalMetrics field.\nfunc (r *queryResolver) GlobalMetrics(ctx context.Context) ([]*schema.GlobalMetricListItem, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\n\tif user != nil {\n\t\tif user.HasRole(schema.RoleUser) || user.HasRole(schema.RoleManager) {\n\t\t\treturn archive.GlobalUserMetricList, nil\n\t\t}\n\t}\n\n\treturn archive.GlobalMetricList, nil\n}\n\n// User is the resolver for the user field.\nfunc (r *queryResolver) User(ctx context.Context, username string) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, username)\n}\n\n// AllocatedNodes is the resolver for the allocatedNodes field.\nfunc (r *queryResolver) AllocatedNodes(ctx context.Context, cluster string) ([]*model.Count, error) {\n\tdata, err := r.Repo.AllocatedNodes(cluster)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching allocated nodes\")\n\t\treturn nil, err\n\t}\n\n\tcounts := make([]*model.Count, 0, len(data))\n\tfor subcluster, hosts := range data {\n\t\tcounts = append(counts, &model.Count{\n\t\t\tName:  subcluster,\n\t\t\tCount: len(hosts),\n\t\t})\n\t}\n\n\treturn counts, nil\n}\n\n// Node is the resolver for the node field.\nfunc (r *queryResolver) Node(ctx context.Context, id string) (*schema.Node, error) {\n\trepo := repository.GetNodeRepository()\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\treturn repo.GetNodeByID(numericID, false)\n}\n\n// Nodes is the resolver for the nodes field.\nfunc (r *queryResolver) Nodes(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodes(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodesWithMeta is the resolver for the nodesWithMeta field.\nfunc (r *queryResolver) NodesWithMeta(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\t// Why Extra Handler? -> graphql.CollectAllFields(ctx) only returns toplevel fields (i.e.: items, count), and not subfields like item.metaData\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodesWithMeta(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodeStates is the resolver for the nodeStates field.\nfunc (r *queryResolver) NodeStates(ctx context.Context, filter []*model.NodeFilter) ([]*model.NodeStates, error) {\n\trepo := repository.GetNodeRepository()\n\n\tstateCounts, serr := repo.CountStates(ctx, filter, \"node_state\")\n\tif serr != nil {\n\t\tcclog.Warnf(\"Error while counting nodeStates: %s\", serr.Error())\n\t\treturn nil, serr\n\t}\n\n\thealthCounts, herr := repo.CountStates(ctx, filter, \"health_state\")\n\tif herr != nil {\n\t\tcclog.Warnf(\"Error while counting healthStates: %s\", herr.Error())\n\t\treturn nil, herr\n\t}\n\n\tallCounts := append(stateCounts, healthCounts...)\n\n\treturn allCounts, nil\n}\n\n// NodeStatesTimed is the resolver for the nodeStatesTimed field.\nfunc (r *queryResolver) NodeStatesTimed(ctx context.Context, filter []*model.NodeFilter, typeArg string) ([]*model.NodeStatesTimed, error) {\n\trepo := repository.GetNodeRepository()\n\n\tif typeArg == \"node\" {\n\t\tstateCounts, serr := repo.CountStatesTimed(ctx, filter, \"node_state\")\n\t\tif serr != nil {\n\t\t\tcclog.Warnf(\"Error while counting nodeStates in time: %s\", serr.Error())\n\t\t\treturn nil, serr\n\t\t}\n\t\treturn stateCounts, nil\n\t}\n\n\tif typeArg == \"health\" {\n\t\thealthCounts, herr := repo.CountStatesTimed(ctx, filter, \"health_state\")\n\t\tif herr != nil {\n\t\t\tcclog.Warnf(\"Error while counting healthStates in time: %s\", herr.Error())\n\t\t\treturn nil, herr\n\t\t}\n\t\treturn healthCounts, nil\n\t}\n\n\treturn nil, errors.New(\"unknown Node State Query Type\")\n}\n\n// Job is the resolver for the job field.\nfunc (r *queryResolver) Job(ctx context.Context, id string) (*schema.Job, error) {\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\tjob, err := r.Repo.FindByID(ctx, numericID)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while finding job by id\")\n\t\treturn nil, err\n\t}\n\n\tif user := repository.GetUserFromContext(ctx); user != nil &&\n\t\tjob.User != user.Username &&\n\t\tuser.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"you are not allowed to see this job\")\n\t}\n\n\treturn job, nil\n}\n\n// JobMetrics is the resolver for the jobMetrics field.\nfunc (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int, resampleAlgo *model.ResampleAlgo) ([]*model.JobMetricWithName, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying job for metrics\")\n\t\treturn nil, err\n\t}\n\n\t// Resolve resolution: explicit param > user policy > global config > 0\n\tif resolution == nil {\n\t\tresolution = resolveResolutionFromPolicy(ctx, job.Duration, job.Cluster, metrics)\n\t}\n\tif resolution == nil {\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else {\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\talgoName := resolveResampleAlgo(ctx, resampleAlgo)\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution, algoName)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobMetricWithName{}\n\tfor name, md := range data {\n\t\tfor scope, metric := range md {\n\t\t\tres = append(res, &model.JobMetricWithName{\n\t\t\t\tName:   name,\n\t\t\t\tScope:  scope,\n\t\t\t\tMetric: metric,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, err\n}\n\n// JobStats is the resolver for the jobStats field.\nfunc (r *queryResolver) JobStats(ctx context.Context, id string, metrics []string) ([]*model.NamedStats, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading jobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := []*model.NamedStats{}\n\tfor name, md := range data {\n\t\tres = append(res, &model.NamedStats{\n\t\t\tName: name,\n\t\t\tData: &md,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// ScopedJobStats is the resolver for the scopedJobStats field.\nfunc (r *queryResolver) ScopedJobStats(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope) ([]*model.NamedStatsWithScope, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadScopedJobStats(job, metrics, scopes, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading scopedJobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := make([]*model.NamedStatsWithScope, 0)\n\tfor name, scoped := range data {\n\t\tfor scope, stats := range scoped {\n\n\t\t\tmdlStats := make([]*model.ScopedStats, 0)\n\t\t\tfor _, stat := range stats {\n\t\t\t\tmdlStats = append(mdlStats, &model.ScopedStats{\n\t\t\t\t\tHostname: stat.Hostname,\n\t\t\t\t\tID:       stat.ID,\n\t\t\t\t\tData:     stat.Data,\n\t\t\t\t})\n\t\t\t}\n\n\t\t\tres = append(res, &model.NamedStatsWithScope{\n\t\t\t\tName:  name,\n\t\t\t\tScope: scope,\n\t\t\t\tStats: mdlStats,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, nil\n}\n\n// Jobs is the resolver for the jobs field.\nfunc (r *queryResolver) Jobs(ctx context.Context, filter []*model.JobFilter, page *model.PageRequest, order *model.OrderByInput) (*model.JobResultList, error) {\n\tif page == nil {\n\t\tpage = &model.PageRequest{\n\t\t\tItemsPerPage: 50,\n\t\t\tPage:         1,\n\t\t}\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, page, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs\")\n\t\treturn nil, err\n\t}\n\n\tcount, err := r.Repo.CountJobs(ctx, filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while counting jobs\")\n\t\treturn nil, err\n\t}\n\n\t// Note: Even if App-Default 'config.Keys.UiDefaults[\"job_list_usePaging\"]' is set, always return hasNextPage boolean.\n\t// Users can decide in frontend to use continuous scroll, even if app-default is paging!\n\t// Skip if page.ItemsPerPage == -1 (\"Load All\" -> No Next Page required, Status Dashboards)\n\t/*\n\t  Example Page 4 @ 10 IpP : Does item 41 exist?\n\t  Minimal Page 41 @ 1 IpP : If len(result) is 1, Page 5 @ 10 IpP exists.\n\t*/\n\thasNextPage := false\n\tif page.ItemsPerPage != -1 {\n\t\tnextPage := &model.PageRequest{\n\t\t\tItemsPerPage: 1,\n\t\t\tPage:         ((page.Page * page.ItemsPerPage) + 1),\n\t\t}\n\t\tnextJobs, err := r.Repo.QueryJobs(ctx, filter, nextPage, order)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while querying next jobs\")\n\t\t\treturn nil, err\n\t\t}\n\t\thasNextPage = len(nextJobs) == 1\n\t}\n\n\treturn &model.JobResultList{Items: jobs, Count: &count, HasNextPage: &hasNextPage}, nil\n}\n\n// JobsStatistics is the resolver for the jobsStatistics field.\nfunc (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobFilter, metrics []string, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, numDurationBins *string, numMetricBins *int) ([]*model.JobsStatistics, error) {\n\tvar err error\n\tvar stats []*model.JobsStatistics\n\n\t// Top Level Defaults\n\tdefaultDurationBins := \"1h\"\n\tdefaultMetricBins := 10\n\n\t// Build requested fields map for selective column computation\n\tstatsFields := []string{\n\t\t\"totalJobs\", \"totalUsers\", \"totalWalltime\", \"totalNodes\", \"totalCores\",\n\t\t\"totalAccs\", \"totalNodeHours\", \"totalCoreHours\", \"totalAccHours\", \"runningJobs\", \"shortJobs\",\n\t}\n\treqFields := make(map[string]bool, len(statsFields))\n\tfetchedMainStats := false\n\tfor _, f := range statsFields {\n\t\tif requireField(ctx, f) {\n\t\t\treqFields[f] = true\n\t\t\tif f != \"runningJobs\" && f != \"shortJobs\" {\n\t\t\t\tfetchedMainStats = true\n\t\t\t}\n\t\t}\n\t}\n\n\tif fetchedMainStats {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n\t\t} else {\n\t\t\tstartGrouped := time.Now()\n\t\t\t// Use request-scoped cache: multiple aliases with same (filter, groupBy)\n\t\t\t// but different sortBy/page hit the DB only once.\n\t\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n\t\t\t\tkey := statsCacheKey(filter, groupBy, reqFields)\n\t\t\t\tvar allStats []*model.JobsStatistics\n\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)\n\t\t\t\t})\n\t\t\t\tif err == nil {\n\t\t\t\t\tstats = sortAndPageStats(allStats, sortBy, page)\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\t}\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {\n\t\tstats = make([]*model.JobsStatistics, 0, 1)\n\t\tstats = append(stats, &model.JobsStatistics{})\n\t}\n\n\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n\t// Only run separate count queries if main stats were not fetched.\n\tif !fetchedMainStats {\n\t\tif groupBy != nil {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n\t\t\t}\n\t\t} else {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n\t\t\t}\n\t\t}\n\t}\n\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif requireField(ctx, \"histDuration\") || requireField(ctx, \"histNumNodes\") || requireField(ctx, \"histNumCores\") || requireField(ctx, \"histNumAccs\") {\n\n\t\tif numDurationBins == nil {\n\t\t\tnumDurationBins = &defaultDurationBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddHistograms(ctx, filter, stats[0], numDurationBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\tif requireField(ctx, \"histMetrics\") {\n\n\t\tif numMetricBins == nil {\n\t\t\tnumMetricBins = &defaultMetricBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddMetricHistograms(ctx, filter, metrics, stats[0], numMetricBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"metric histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// JobsMetricStats is the resolver for the jobsMetricStats field.\nfunc (r *queryResolver) JobsMetricStats(ctx context.Context, filter []*model.JobFilter, metrics []string) ([]*model.JobStats, error) {\n\t// No Paging, Fixed Order by StartTime ASC\n\torder := &model.OrderByInput{\n\t\tField: \"startTime\",\n\t\tType:  \"col\",\n\t\tOrder: \"ASC\",\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, nil, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs for comparison\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobStats{}\n\tfor _, job := range jobs {\n\t\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading comparison jobStats data for job id %d\", job.JobID)\n\t\t\tcontinue\n\t\t\t// return nil, err\n\t\t}\n\n\t\tsres := []*model.NamedStats{}\n\t\tfor name, md := range data {\n\t\t\tsres = append(sres, &model.NamedStats{\n\t\t\t\tName: name,\n\t\t\t\tData: &md,\n\t\t\t})\n\t\t}\n\n\t\tnumThreadsInt := int(job.NumHWThreads)\n\t\tnumAccsInt := int(job.NumAcc)\n\t\tres = append(res, &model.JobStats{\n\t\t\tID:              int(*job.ID),\n\t\t\tJobID:           strconv.Itoa(int(job.JobID)),\n\t\t\tStartTime:       int(job.StartTime),\n\t\t\tDuration:        int(job.Duration),\n\t\t\tCluster:         job.Cluster,\n\t\t\tSubCluster:      job.SubCluster,\n\t\t\tNumNodes:        int(job.NumNodes),\n\t\t\tNumHWThreads:    &numThreadsInt,\n\t\t\tNumAccelerators: &numAccsInt,\n\t\t\tStats:           sres,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// JobsFootprints is the resolver for the jobsFootprints field.\nfunc (r *queryResolver) JobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n\t// NOTE: Legacy Naming! This resolver is for normalized histograms in analysis view only - *Not* related to DB \"footprint\" column!\n\treturn r.jobsFootprints(ctx, filter, metrics)\n}\n\n// RooflineHeatmap is the resolver for the rooflineHeatmap field.\nfunc (r *queryResolver) RooflineHeatmap(ctx context.Context, filter []*model.JobFilter, rows int, cols int, minX float64, minY float64, maxX float64, maxY float64) ([][]float64, error) {\n\treturn r.rooflineHeatmap(ctx, filter, rows, cols, minX, minY, maxX, maxY)\n}\n\n// NodeMetrics is the resolver for the nodeMetrics field.\nfunc (r *queryResolver) NodeMetrics(ctx context.Context, cluster string, nodes []string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time) ([]*model.NodeMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tdefaultMetrics := make([]string, 0)\n\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\tdefaultMetrics = append(defaultMetrics, mc.Name)\n\t}\n\tif metrics == nil {\n\t\tmetrics = defaultMetrics\n\t} else {\n\t\tmetrics = slices.DeleteFunc(metrics, func(metric string) bool {\n\t\t\treturn !slices.Contains(defaultMetrics, metric) // Remove undefined metrics.\n\t\t})\n\t}\n\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\tnodeStateMap, metricHealthMap, _ := nodeRepo.MapNodes(cluster)\n\n\tnodeMetrics := make([]*model.NodeMetrics, 0, len(data))\n\tfor hostname, metrics := range data {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost:         hostname,\n\t\t\tNodeState:    nodeStateMap[hostname],\n\t\t\tMetricHealth: metricHealthMap[hostname],\n\t\t\tMetrics:      make([]*model.JobMetricWithName, 0, len(metrics)*len(scopes)),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName:   metric,\n\t\t\t\t\tScope:  schema.MetricScopeNode,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetrics = append(nodeMetrics, host)\n\t}\n\n\treturn nodeMetrics, nil\n}\n\n// NodeMetricsList is the resolver for the nodeMetricsList field.\nfunc (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int, resampleAlgo *model.ResampleAlgo) (*model.NodesResultList, error) {\n\t// Resolve resolution: explicit param > user policy > global config > 0\n\tduration := int64(to.Sub(from).Seconds())\n\tif resolution == nil {\n\t\tresolution = resolveResolutionFromPolicy(ctx, duration, cluster, metrics)\n\t}\n\tif resolution == nil {\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else {\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\t// nodes -> array hostname\n\tnodes, nodeStateMap, metricHealthMap, countNodes, hasNextPage, nerr := nodeRepo.GetNodesForList(ctx, cluster, subCluster, stateFilter, nodeFilter, page)\n\tif nerr != nil {\n\t\treturn nil, errors.New(\"could not retrieve node list required for resolving NodeMetricsList\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\talgoName := resolveResampleAlgo(ctx, resampleAlgo)\n\n\t// data -> map hostname:jobdata\n\tdata, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx, algoName)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data (Resolver.NodeMetricsList\")\n\t\treturn nil, err\n\t}\n\n\tnodeMetricsList := make([]*model.NodeMetrics, 0, len(data))\n\tfor _, hostname := range nodes {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost:         hostname,\n\t\t\tNodeState:    nodeStateMap[hostname],\n\t\t\tMetricHealth: metricHealthMap[hostname],\n\t\t\tMetrics:      make([]*model.JobMetricWithName, 0),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range data[hostname] {\n\t\t\tfor scope, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName:   metric,\n\t\t\t\t\tScope:  scope,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetricsList = append(nodeMetricsList, host)\n\t}\n\n\tnodeMetricsListResult := &model.NodesResultList{\n\t\tItems: nodeMetricsList,\n\t\t// TotalNodes depends on sum of nodes grouped on latest timestamp, see repo/node.go:357\n\t\tTotalNodes:  &countNodes,\n\t\tHasNextPage: &hasNextPage,\n\t}\n\n\treturn nodeMetricsListResult, nil\n}\n\n// ClusterMetrics is the resolver for the clusterMetrics field.\nfunc (r *queryResolver) ClusterMetrics(ctx context.Context, cluster string, metrics []string, from time.Time, to time.Time) (*model.ClusterMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\t// 'nodes' == nil -> Defaults to all nodes of cluster for existing query workflow\n\tscopes := []schema.MetricScope{\"node\"}\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nil, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tclusterMetricData := make([]*model.ClusterMetricWithName, 0)\n\tclusterMetrics := model.ClusterMetrics{NodeCount: 0, Metrics: clusterMetricData}\n\n\tcollectorTimestep := make(map[string]int)\n\tcollectorUnit := make(map[string]schema.Unit)\n\tcollectorData := make(map[string][]schema.Float)\n\n\tfor _, metrics := range data {\n\t\tclusterMetrics.NodeCount += 1\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\t// Collect Info Once\n\t\t\t\t_, okTimestep := collectorTimestep[metric]\n\t\t\t\tif !okTimestep {\n\t\t\t\t\tcollectorTimestep[metric] = scopedMetric.Timestep\n\t\t\t\t}\n\t\t\t\t_, okUnit := collectorUnit[metric]\n\t\t\t\tif !okUnit {\n\t\t\t\t\tcollectorUnit[metric] = scopedMetric.Unit\n\t\t\t\t}\n\t\t\t\t// Collect Data\n\t\t\t\tfor _, ser := range scopedMetric.Series {\n\t\t\t\t\t_, okData := collectorData[metric]\n\t\t\t\t\t// Init With Datasize > 0\n\t\t\t\t\tif !okData && len(ser.Data) != 0 {\n\t\t\t\t\t\tcollectorData[metric] = make([]schema.Float, len(ser.Data))\n\t\t\t\t\t} else if !okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip init: no data -> %s at %s; size %d\", metric, ser.Hostname, len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t\t// Sum if init'd and matching size\n\t\t\t\t\tif okData && len(ser.Data) == len(collectorData[metric]) {\n\t\t\t\t\t\tfor i, val := range ser.Data {\n\t\t\t\t\t\t\tif val.IsNaN() {\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tcollectorData[metric][i] += val\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else if okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip sum: data diff -> %s at %s; want size %d, have size %d\", metric, ser.Hostname, len(collectorData[metric]), len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tfor metricName, data := range collectorData {\n\t\t// use ccUnits for backend normalization to \"Tera\"\n\t\tp_old := ccunit.NewPrefix(collectorUnit[metricName].Prefix)\n\t\tp_new := ccunit.NewPrefix(\"T\")\n\t\tconvFunc := ccunit.GetPrefixPrefixFactor(p_old, p_new)\n\t\tu_new := schema.Unit{Prefix: p_new.Prefix(), Base: collectorUnit[metricName].Base}\n\n\t\troundedData := make([]schema.Float, 0)\n\t\tfor _, v_old := range data {\n\t\t\tv_new := math.Round(convFunc(float64(v_old)).(float64)*100.0) / 100.0\n\t\t\troundedData = append(roundedData, schema.Float(v_new))\n\t\t}\n\n\t\tcm := model.ClusterMetricWithName{\n\t\t\tName:     metricName,\n\t\t\tUnit:     &u_new,\n\t\t\tTimestep: collectorTimestep[metricName],\n\t\t\tData:     roundedData,\n\t\t}\n\n\t\tclusterMetrics.Metrics = append(clusterMetrics.Metrics, &cm)\n\t}\n\n\treturn &clusterMetrics, nil\n}\n\n// NumberOfNodes is the resolver for the numberOfNodes field.\nfunc (r *subClusterResolver) NumberOfNodes(ctx context.Context, obj *schema.SubCluster) (int, error) {\n\tnodeList, err := archive.ParseNodeList(obj.Nodes)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn nodeList.NodeCount(), nil\n}\n\n// Cluster returns generated.ClusterResolver implementation.\nfunc (r *Resolver) Cluster() generated.ClusterResolver { return &clusterResolver{r} }\n\n// Job returns generated.JobResolver implementation.\nfunc (r *Resolver) Job() generated.JobResolver { return &jobResolver{r} }\n\n// MetricValue returns generated.MetricValueResolver implementation.\nfunc (r *Resolver) MetricValue() generated.MetricValueResolver { return &metricValueResolver{r} }\n\n// Mutation returns generated.MutationResolver implementation.\nfunc (r *Resolver) Mutation() generated.MutationResolver { return &mutationResolver{r} }\n\n// Node returns generated.NodeResolver implementation.\nfunc (r *Resolver) Node() generated.NodeResolver { return &nodeResolver{r} }\n\n// Query returns generated.QueryResolver implementation.\nfunc (r *Resolver) Query() generated.QueryResolver { return &queryResolver{r} }\n\n// SubCluster returns generated.SubClusterResolver implementation.\nfunc (r *Resolver) SubCluster() generated.SubClusterResolver { return &subClusterResolver{r} }\n\ntype clusterResolver struct{ *Resolver }\ntype jobResolver struct{ *Resolver }\ntype metricValueResolver struct{ *Resolver }\ntype mutationResolver struct{ *Resolver }\ntype 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Number(resampleConfig.trigger) : (resampleConfig?.targetPoints ? Math.floor(resampleConfig.targetPoints / 4) : null));\n  const resampleResolutions = $derived(resampleConfig?.resolutions ? [...resampleConfig.resolutions] : null);\n  const resampleMinimum = $derived(resampleConfig?.resolutions ? Math.min(...resampleConfig.resolutions) : null);\n  const resampleTargetPoints = $derived(resampleConfig?.targetPoints ? Number(resampleConfig.targetPoints) : null);","originalFile":"<!--\n  @component Main plot component, based on uPlot; metricdata values by time\n\n  Only width/height should change reactively.\n\n  Properties:\n  - `metric String`: The metric name\n  - `scope String?`: Scope of the displayed data [Default: node]\n  - `height Number?`: The plot height [Default: 300]\n  - `timestep Number`: The timestep used for X-axis rendering\n  - `series [GraphQL.Series]`: The metric data object\n  - `statisticsSeries [GraphQL.StatisticsSeries]?`: Min/Max/Median representation of metric data [Default: null]\n  - `cluster String?`: Cluster name of the parent job / data [Default: \"\"]\n  - `subCluster String`: Name of the subCluster of the parent job\n  - `isShared Bool?`: If this job used shared resources; for additional legend display [Default: false]\n  - `forNode Bool?`: If this plot is used for node data display; will render x-axis as negative time with $now as maximum [Default: false]\n  - `numhwthreads Number?`: Number of job HWThreads [Default: 0]\n  - `numaccs Number?`: Number of job Accelerators [Default: 0]\n  - `zoomState Object?`: The last zoom state to preserve on user zoom [Default: null]\n  - `thersholdState Object?`: The last threshold state to preserve on user zoom [Default: null]\n  - `extendedLegendData Object?`: Additional information to be rendered in an extended legend [Default: null]\n  - `onZoom Func`: Callback function to handle zoom-in event\n-->\n\n<script>\n  import uPlot from \"uplot\";\n  import { formatNumber, formatDurationTime } from \"../units.js\";\n  import { getContext, onMount, onDestroy } from \"svelte\";\n  import { Card, CardBody, CardHeader } from \"@sveltestrap/sveltestrap\";\n\n  /* Svelte 5 Props */\n  let {\n    metric,\n    scope = \"node\",\n    width = 0,\n    height = 300,\n    timestep,\n    series,\n    statisticsSeries = null,\n    cluster = \"\",\n    subCluster,\n    isShared = false,\n    forNode = false,\n    zoomState = null,\n    thresholdState = null,\n    extendedLegendData = null,\n    plotSync = null,\n    enableFlip = false,\n    onZoom\n  } = $props();\n\n  /* Const Init */\n  const clusterCockpitConfig = getContext(\"cc-config\");\n  const resampleConfig = getContext(\"resampling\");\n  const lineWidth = clusterCockpitConfig.plotConfiguration_lineWidth / window.devicePixelRatio;\n  const cbmode = clusterCockpitConfig?.plotConfiguration_colorblindMode || false;\n  const renderSleepTime = 200;\n  const normalLineColor = \"#000000\";\n  const backgroundColors = {\n    normal: \"rgba(255, 255, 255, 1.0)\",\n    caution: cbmode ? \"rgba(239, 230, 69, 0.3)\" : \"rgba(255, 128, 0, 0.3)\",\n    alert: cbmode ? \"rgba(225, 86, 44, 0.3)\" : \"rgba(255, 0, 0, 0.3)\",\n  };\n\n  /* Var Init */\n  let timeoutId = null;\n\n  /* State Init */\n  let plotWrapper = $state(null);\n  let uplot = $state(null);\n\n  /* Derived */\n  const subClusterTopology = $derived(getContext(\"getHardwareTopology\")(cluster, subCluster));\n  const metricConfig = $derived(getContext(\"getMetricConfig\")(cluster, subCluster, metric));\n  const usesMeanStatsSeries = $derived((statisticsSeries?.mean && statisticsSeries.mean.length != 0));\n  const resampleTrigger = $derived(resampleConfig?.trigger ? Number(resampleConfig.trigger) : null);\n  const resampleResolutions = $derived(resampleConfig?.resolutions ? [...resampleConfig.resolutions] : null);\n  const resampleMinimum = $derived(resampleConfig?.resolutions ? Math.min(...resampleConfig.resolutions) : null);\n  const useStatsSeries = $derived(!!statisticsSeries); // Display Stats Series By Default if Exists\n  const thresholds = $derived(findJobAggregationThresholds(\n    subClusterTopology,\n    metricConfig,\n    scope\n  ));\n  const longestSeries = $derived.by(() => {\n    if (useStatsSeries) {\n      return usesMeanStatsSeries ? statisticsSeries?.mean?.length : statisticsSeries?.median?.length;\n    } else {\n      return series.reduce((n, series) => Math.max(n, series.data.length), 0);\n    }\n  });\n  const maxX = $derived(longestSeries * timestep);\n  const maxY = $derived.by(() => {\n    let pendingY = 0;\n    if (useStatsSeries) {\n      pendingY = statisticsSeries.max.reduce(\n        (max, x) => Math.max(max, x),\n        thresholds?.normal,\n      ) || thresholds?.normal\n    } else { \n      pendingY = series.reduce(\n          (max, series) => Math.max(max, series?.statistics?.max),\n          thresholds?.normal,\n        ) || thresholds?.normal;\n    }\n\n    if (pendingY >= 10 * thresholds.peak) {\n      // Hard y-range render limit if outliers in series data\n      return (10 * thresholds.peak);\n    } else {\n      return pendingY;\n    }\n  });\n  const plotBands = $derived.by(() => {\n    if (useStatsSeries) {\n      return [\n        { series: [2, 3], fill: cbmode ? \"rgba(0,0,255,0.1)\" : \"rgba(0,255,0,0.1)\" },\n        { series: [3, 1], fill: cbmode ? \"rgba(0,255,0,0.1)\" : \"rgba(255,0,0,0.1)\" },\n      ];\n    };\n    return null;\n  })\n  const plotData = $derived.by(() => {\n    let pendingData = [new Array(longestSeries)];\n    // X\n    if (forNode === true) {\n      // Negative Timestamp Buildup\n      for (let i = 0; i <= longestSeries; i++) {\n        pendingData[0][i] = (longestSeries - i) * timestep * -1;\n      }\n    } else {\n      // Positive Timestamp Buildup\n      for (let j = 0; j < longestSeries; j++) {\n        pendingData[0][j] = j * timestep;\n      };\n    };\n    // Y\n    if (useStatsSeries) {\n      pendingData.push(statisticsSeries.min);\n      pendingData.push(statisticsSeries.max);\n      if (usesMeanStatsSeries) {\n        pendingData.push(statisticsSeries.mean);\n      } else {\n        pendingData.push(statisticsSeries.median);\n      }\n\n    } else {\n      for (let i = 0; i < series.length; i++) {\n        pendingData.push(series[i].data);\n      };\n    };\n    return pendingData;\n  })\n  const plotSeries = $derived.by(() => {\n    let pendingSeries = [\n      // Note: X-Legend Will not be shown as soon as Y-Axis are in extendedMode\n      {\n        label: \"Runtime\",\n        value: (u, ts, sidx, didx) =>\n        (didx == null) ? null : formatDurationTime(ts, forNode),\n      }\n    ];\n    // Y\n    if (useStatsSeries) {\n      pendingSeries.push({\n        label: \"min\",\n        scale: \"y\",\n        width: lineWidth,\n        stroke: cbmode ? \"rgb(0,255,0)\" : \"red\",\n      });\n      pendingSeries.push({\n        label: \"max\",\n        scale: \"y\",\n        width: lineWidth,\n        stroke: cbmode ? \"rgb(0,0,255)\" : \"green\",\n      });\n      pendingSeries.push({\n        label: usesMeanStatsSeries ? \"mean\" : \"median\",\n        scale: \"y\",\n        width: lineWidth,\n        stroke: \"black\",\n      });\n\n    } else {\n      for (let i = 0; i < series?.length; i++) {\n        // Default\n        if (!extendedLegendData) {\n          pendingSeries.push({\n            label: \n              scope === \"node\"\n              ? series[i].hostname\n              : scope === \"accelerator\"\n                ? 'Acc #' + (i + 1) // series[i].id.slice(9, 14) | Too Hardware Specific\n                : scope + \" #\" + (i + 1),\n            scale: \"y\",\n            width: lineWidth,\n            stroke: lineColor(i, clusterCockpitConfig.plotConfiguration_colorScheme),\n          });\n        }\n        // Extended Legend For NodeList\n        else {\n          pendingSeries.push({\n            label: \n              scope === \"node\"\n                ? series[i].hostname\n                : scope === \"accelerator\"\n                  ? 'Acc #' + (i + 1) // series[i].id.slice(9, 14) | Too Hardware Specific\n                  : scope + \" #\" + (i + 1),\n            scale: \"y\",\n            width: lineWidth,\n            stroke: lineColor(i, clusterCockpitConfig.plotConfiguration_colorScheme),\n            values: (u, sidx, idx) => {\n              // \"i\" = \"sidx - 1\" : sidx contains x-axis-data\n              if (idx == null)\n                return {\n                  time: '-',\n                  value: '-',\n                  user: '-',\n                  job: '-'\n                };\n\n              if (series[i].id in extendedLegendData) {\n                return {\n                  time: formatDurationTime(plotData[0][idx], forNode),\n                  value: plotData[sidx][idx],\n                  user: extendedLegendData[series[i].id].user,\n                  job: extendedLegendData[series[i].id].job,\n                };\n              } else {\n                return {\n                  time: formatDurationTime(plotData[0][idx], forNode),\n                  value: plotData[sidx][idx],\n                  user: '-',\n                  job: '-',\n                };\n              }\n            }\n          });\n        }\n      };\n    };\n    return pendingSeries;\n  })\n\n  // This updates plot on all size changes if wrapper (== data) exists\n  $effect(() => {\n    if (plotWrapper) {\n      onSizeChange(width, height);\n    }\n  });\n\n  /* Functions */\n  function timeIncrs(timestep, maxX, forNode) {\n    if (forNode === true) {\n      return [60, 120, 240, 300, 360, 480, 600, 900, 1800, 3600, 7200, 14400, 21600]; // forNode fixed increments\n    } else {\n      let incrs = [];\n      for (let t = timestep; t < maxX; t *= 10)\n        incrs.push(t, t * 2, t * 3, t * 5);\n\n      return incrs;\n    }\n  }\n\n  // removed arg \"subcluster\": input metricconfig and topology now directly derived from subcluster\n  function findJobAggregationThresholds(\n    subClusterTopology,\n    metricConfig,\n    scope\n  ) {\n\n    if (!subClusterTopology || !metricConfig || !scope) {\n      console.warn(\"Argument missing for findJobAggregationThresholds!\");\n      return null;\n    }\n\n    // handle special *-stat scopes\n    if (scope.match(/(.*)-stat$/)) {\n      const statParts = scope.split('-');\n      scope = statParts[0]\n    }\n\n    if (metricConfig?.aggregation == \"avg\") {\n      // Return as Configured\n      return {\n        normal: metricConfig.normal,\n        caution: metricConfig.caution,\n        alert: metricConfig.alert,\n        peak: metricConfig.peak,\n      };\n    }\n\n    if (metricConfig?.aggregation == \"sum\") {\n      let divisor;\n      if (scope == 'node')              divisor = 1 // Node Scope: Always return unscaled (Maximum Scope)\n      // Partial Scopes: Get from Topologies\n      else if (scope == 'socket')       divisor = subClusterTopology?.socket?.length || 1;\n      else if (scope == \"memoryDomain\") divisor = subClusterTopology?.memoryDomain?.length || 1;\n      else if (scope == \"core\")         divisor = subClusterTopology?.core?.length || 1;\n      else if (scope == \"hwthread\")     divisor = subClusterTopology?.node?.length || 1;\n      else if (scope == \"accelerator\")  divisor = subClusterTopology?.accelerators?.length || 1;\n      else {\n        console.log('Unknown scope, return default aggregation thresholds for sum', scope)\n        divisor = 1;\n      }\n\n      return {\n        peak: metricConfig.peak / divisor,\n        normal: metricConfig.normal / divisor,\n        caution: metricConfig.caution / divisor,\n        alert: metricConfig.alert / divisor,\n      };\n    }\n\n    console.warn(\n      \"Missing or unkown aggregation mode (sum/avg) for metric:\",\n      metricConfig,\n    );\n    return null;\n  }\n\n  // UPLOT PLUGIN // converts the legend into a simple tooltip\n  function legendAsTooltipPlugin({\n    className,\n    style = { backgroundColor: \"rgba(255, 249, 196, 0.92)\", color: \"black\" },\n  } = {}) {\n    let legendEl;\n    const dataSize = series.length;\n\n    function init(u, opts) {\n      legendEl = u.root.querySelector(\".u-legend\");\n\n      legendEl.classList.remove(\"u-inline\");\n      className && legendEl.classList.add(className);\n\n      uPlot.assign(legendEl.style, {\n        minWidth: extendedLegendData ? \"300px\" : \"100px\",\n        textAlign: \"left\",\n        pointerEvents: \"none\",\n        display: \"none\",\n        position: \"absolute\",\n        left: 0,\n        top: 0,\n        zIndex: 100,\n        boxShadow: \"2px 2px 10px rgba(0,0,0,0.5)\",\n        ...style,\n      });\n\n      // conditional hide series color markers:\n      if (\n        useStatsSeries || // Min/Max/Median Self-Explanatory\n        dataSize === 1 || // Only one Y-Dataseries\n        dataSize > 8 // More than 8 Y-Dataseries\n      ) {\n        const idents = legendEl.querySelectorAll(\".u-marker\");\n        for (let i = 0; i < idents.length; i++)\n          idents[i].style.display = \"none\";\n      }\n\n      const overEl = u.over;\n      overEl.style.overflow = \"visible\";\n\n      // move legend into plot bounds\n      overEl.appendChild(legendEl);\n\n      // show/hide tooltip on enter/exit\n      overEl.addEventListener(\"mouseenter\", () => {\n        legendEl.style.display = null;\n      });\n      overEl.addEventListener(\"mouseleave\", () => {\n        legendEl.style.display = \"none\";\n      });\n\n      // let tooltip exit plot\n      // overEl.style.overflow = \"visible\";\n    }\n\n    function update(u) {\n      const { left, top } = u.cursor;\n      const internalWidth = u?.over?.querySelector(\".u-legend\")?.offsetWidth ? u.over.querySelector(\".u-legend\").offsetWidth : 0;\n      if (enableFlip && (left < (width/2))) {\n        legendEl.style.transform = \"translate(\" + (left + 15) + \"px, \" + (top + 15) + \"px)\";\n      } else {\n        legendEl.style.transform = \"translate(\" + (left - internalWidth - 15) + \"px, \" + (top + 15) + \"px)\";\n      }\n    }\n\n    if (dataSize <= 12 || useStatsSeries) {\n      return {\n        hooks: {\n          init: init,\n          setCursor: update,\n        },\n      };\n    } else {\n      // Setting legend-opts show/live as object with false here will not work ...\n      return {};\n    }\n  }\n\n  // RETURN BG COLOR FROM THRESHOLD\n  function backgroundColor() {\n    if (\n      clusterCockpitConfig.plotConfiguration_colorBackground == false ||\n      !thresholds ||\n      !(series && series.every((s) => s.statistics != null))\n    )\n      return backgroundColors.normal;\n\n    let cond =\n      thresholds.alert < thresholds.caution\n        ? (a, b) => a <= b\n        : (a, b) => a >= b;\n\n    let avg =\n      series.reduce((sum, series) => sum + series.statistics.avg, 0) /\n      series.length;\n\n    if (Number.isNaN(avg)) return backgroundColors.normal;\n\n    if (cond(avg, thresholds.alert)) return backgroundColors.alert;\n\n    if (cond(avg, thresholds.caution)) return backgroundColors.caution;\n\n    return backgroundColors.normal;\n  }\n\n  function lineColor(index, colors) {\n    return colors[index % colors.length];\n  }\n\n  function render(ren_width, ren_height) {\n    // Set Options\n    const opts = {\n      width,\n      height,\n      plugins: [legendAsTooltipPlugin()],\n      series: plotSeries,\n      axes: [\n        {\n          scale: \"x\",\n          space: 35,\n          incrs: timeIncrs(timestep, maxX, forNode),\n          values: (_, vals) => vals.map((v) => formatDurationTime(v, forNode)),\n        },\n        {\n          scale: \"y\",\n          grid: { show: true },\n          labelFont: \"sans-serif\",\n          values: (u, vals) => vals.map((v) => formatNumber(v)),\n        },\n      ],\n      bands: plotBands,\n      padding: [5, 10, -20, 0],\n      hooks: {\n        init: [\n          (u) => {\n            /* IF Zoom Enabled */\n            if (resampleConfig && !forNode) {\n              u.over.addEventListener(\"dblclick\", (e) => {\n                // console.log('Dispatch: Zoom Reset')\n                onZoom({\n                  lastZoomState: {\n                    x: { time: false },\n                    y: { auto: true }\n                  }\n                });\n              });\n            };\n          },\n        ],\n        draw: [\n          (u) => {\n            // Draw plot type label:\n            let textl = `${scope}${plotSeries.length > 2 ? \"s\" : \"\"}${\n              useStatsSeries\n                ? (usesMeanStatsSeries ? \": min/mean/max\" : \": min/median/max\")\n                : metricConfig != null && scope != metricConfig.scope\n                  ? ` (${metricConfig.aggregation})`\n                  : \"\"\n            }`;\n            let textr = `${isShared && scope != \"core\" && scope != \"accelerator\" ? \"[Shared]\" : \"\"}`;\n            u.ctx.save();\n            u.ctx.textAlign = \"start\"; // 'end'\n            u.ctx.fillStyle = \"black\";\n            u.ctx.fillText(textl, u.bbox.left + 10, u.bbox.top + (forNode ? 0 : 10));\n            u.ctx.textAlign = \"end\";\n            u.ctx.fillStyle = \"black\";\n            u.ctx.fillText(\n              textr,\n              u.bbox.left + u.bbox.width - 10,\n              u.bbox.top + (forNode ? 0 : 10),\n            );\n            // u.ctx.fillText(text, u.bbox.left + u.bbox.width - 10, u.bbox.top + u.bbox.height - 10) // Recipe for bottom right\n\n            if (!thresholds) {\n              u.ctx.restore();\n              return;\n            }\n\n            let y = u.valToPos(thresholds.normal, \"y\", true);\n            u.ctx.save();\n            u.ctx.lineWidth = lineWidth;\n            u.ctx.strokeStyle = normalLineColor;\n            u.ctx.setLineDash([5, 5]);\n            u.ctx.beginPath();\n            u.ctx.moveTo(u.bbox.left, y);\n            u.ctx.lineTo(u.bbox.left + u.bbox.width, y);\n            u.ctx.stroke();\n            u.ctx.restore();\n          },\n        ],\n        setScale: [\n          (u, key) => { // If ZoomResample is Configured && Not System/Node View\n            if (resampleConfig && !forNode && key === 'x') {\n              const numX = (u.series[0].idxs[1] - u.series[0].idxs[0])\n              if (numX <= resampleTrigger && timestep !== resampleMinimum) {\n                /* Get closest zoom level; prevents multiple iterative zoom requests for big zoom-steps (e.g. 600 -> 300 -> 120 -> 60) */\n                // Which resolution to theoretically request to achieve 30 or more visible data points:\n                const target = (numX * timestep) / resampleTrigger\n                // Which configured resolution actually matches the closest to theoretical target:\n                const closest = resampleResolutions.reduce(function(prev, curr) {\n                  return (Math.abs(curr - target) < Math.abs(prev - target) ? curr : prev);\n                });\n                // Prevents non-required dispatches\n                if (timestep !== closest) {\n                  // console.log('Dispatch: Zoom with Res from / to', timestep, closest)\n                  onZoom({\n                    newRes: closest,\n                    lastZoomState: u?.scales,\n                    lastThreshold: thresholds?.normal\n                  });\n                }\n              } else {\n                // console.log('Dispatch: Zoom Update States')\n                onZoom({\n                  lastZoomState: u?.scales,\n                  lastThreshold: thresholds?.normal\n                });\n              };\n            };\n          },\n        ]\n      },\n      scales: {\n        x: { time: false },\n        y: maxY ? { min: 0, max: (maxY * 1.1) } : {auto: true}, // Add some space to upper render limit\n      },\n      legend: {\n        // Display legend until max 12 Y-dataseries\n        show: series.length <= 12 || useStatsSeries,\n        live: series.length <= 12 || useStatsSeries,\n      },\n      cursor: { \n        drag: { x: true, y: true },\n      }\n    };\n\n    // Handle Render\n    if (!uplot) {\n      opts.width = ren_width;\n      opts.height = ren_height;\n      \n      if (plotSync) {\n        opts.cursor.sync = { \n          key: plotSync.key,\n          scales: [\"x\", null],\n        }\n      }\n\n      if (zoomState && metricConfig?.aggregation == \"avg\") {\n        opts.scales = {...zoomState}\n      } else if (zoomState && metricConfig?.aggregation == \"sum\") {\n        // Allow Zoom In === Ymin changed\n        if (zoomState.y.min !== 0) { // scope change?: only use zoomState if thresholds match\n          if ((thresholdState === thresholds?.normal)) { opts.scales = {...zoomState} };\n        } // else: reset scaling to default\n      }\n\n      uplot = new uPlot(opts, plotData, plotWrapper);\n    } else {\n      uplot.setSize({ width: ren_width, height: ren_height });\n    }\n  }\n\n  function onSizeChange(chg_width, chg_height) {\n    if (!uplot) return;\n    if (timeoutId != null) clearTimeout(timeoutId);\n    timeoutId = setTimeout(() => {\n      timeoutId = null;\n      render(chg_width, chg_height);\n    }, renderSleepTime);\n  }\n\n  /* On Mount */\n  onMount(() => {\n    if (plotWrapper) {\n      render(width, height);\n    }\n  });\n\n  /* On Destroy */\n  onDestroy(() => {\n    if (timeoutId != null) clearTimeout(timeoutId);\n    if (uplot) uplot.destroy();\n  });\n\n</script>\n\n<!-- Define $width Wrapper and NoData Card -->\n{#if series[0]?.data && series[0].data.length > 0}\n  <div bind:this={plotWrapper} bind:clientWidth={width}\n        style=\"background-color: {backgroundColor()};\" class={forNode ? 'py-2 rounded' : 'rounded'}\n  ></div>\n{:else}\n  <Card color=\"warning\" class={forNode ? 'mx-2' : 'mt-2'}>\n    <CardHeader class=\"mb-0\">\n      <b>Empty Metric</b>\n    </CardHeader>\n    <CardBody>\n      <p>Cannot render plot for <b>{metric}</b>.</p>\n      <p class=\"mb-1\">Metric found but returned without timeseries data.</p>\n    </CardBody>\n  </Card>\n{/if}\n","structuredPatch":[{"oldStart":73,"oldLines":9,"newStart":73,"newLines":10,"lines":["   const subClusterTopology = $derived(getContext(\"getHardwareTopology\")(cluster, subCluster));","   const metricConfig = $derived(getContext(\"getMetricConfig\")(cluster, subCluster, metric));","   const usesMeanStatsSeries = $derived((statisticsSeries?.mean && statisticsSeries.mean.length != 0));","-  const resampleTrigger = $derived(resampleConfig?.trigger ? Number(resampleConfig.trigger) : null);","+  const resampleTrigger = $derived(resampleConfig?.trigger ? Number(resampleConfig.trigger) : (resampleConfig?.targetPoints ? Math.floor(resampleConfig.targetPoints / 4) : null));","   const resampleResolutions = $derived(resampleConfig?.resolutions ? [...resampleConfig.resolutions] : null);","   const resampleMinimum = $derived(resampleConfig?.resolutions ? Math.min(...resampleConfig.resolutions) : null);","+  const resampleTargetPoints = $derived(resampleConfig?.targetPoints ? Number(resampleConfig.targetPoints) : null);","   const useStatsSeries = $derived(!!statisticsSeries); // Display Stats Series By Default if Exists","   const thresholds = $derived(findJobAggregationThresholds(","     subClusterTopology,"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"b1b7b623-807c-4097-b4bd-9bbffe9abd3a","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
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+{"parentUuid":"f49d62ed-808d-46d3-9ff7-36b73ea5e7f6","isSidechain":false,"promptId":"0763b03c-10c2-419e-8e69-b6ee9bffed71","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01F92hhuAwwgStviLtnBxvxn","type":"tool_result","content":"   513→        ],\n   514→        setScale: [\n   515→          (u, key) => { // If ZoomResample is Configured && Not System/Node View\n   516→            if (resampleConfig && !forNode && key === 'x') {\n   517→              const numX = (u.series[0].idxs[1] - u.series[0].idxs[0])\n   518→              if (numX <= resampleTrigger && timestep !== resampleMinimum) {\n   519→                /* Get closest zoom level; prevents multiple iterative zoom requests for big zoom-steps (e.g. 600 -> 300 -> 120 -> 60) */\n   520→                // Which resolution to theoretically request to achieve 30 or more visible data points:\n   521→                const target = (numX * timestep) / resampleTrigger\n   522→                // Which configured resolution actually matches the closest to theoretical target:\n   523→                const closest = resampleResolutions.reduce(function(prev, curr) {\n   524→                  return (Math.abs(curr - target) < Math.abs(prev - target) ? curr : prev);\n   525→                });\n   526→                // Prevents non-required dispatches\n   527→                if (timestep !== closest) {\n   528→                  // console.log('Dispatch: Zoom with Res from / to', timestep, closest)\n   529→                  onZoom({\n   530→                    newRes: closest,\n   531→                    lastZoomState: u?.scales,\n   532→                    lastThreshold: thresholds?.normal\n   533→                  });\n   534→                }\n   535→              } else {\n   536→                // console.log('Dispatch: Zoom Update States')\n   537→                onZoom({\n   538→                  lastZoomState: u?.scales,\n   539→                  lastThreshold: thresholds?.normal\n   540→                });\n   541→              };\n   542→            };\n   543→          },\n   544→        ]\n   545→      },\n   546→      scales: {\n   547→        x: { time: false },"}]},"uuid":"9f6f5121-0404-49a7-9a15-189b67965bf4","timestamp":"2026-03-20T04:26:19.528Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/web/frontend/src/generic/plots/MetricPlot.svelte","content":"        ],\n        setScale: [\n          (u, key) => { // If ZoomResample is Configured && Not System/Node View\n            if (resampleConfig && !forNode && key === 'x') {\n              const numX = (u.series[0].idxs[1] - u.series[0].idxs[0])\n              if (numX <= resampleTrigger && timestep !== resampleMinimum) {\n                /* Get closest zoom level; prevents multiple iterative zoom requests for big zoom-steps (e.g. 600 -> 300 -> 120 -> 60) */\n                // Which resolution to theoretically request to achieve 30 or more visible data points:\n                const target = (numX * timestep) / resampleTrigger\n                // Which configured resolution actually matches the closest to theoretical target:\n                const closest = resampleResolutions.reduce(function(prev, curr) {\n                  return (Math.abs(curr - target) < Math.abs(prev - target) ? curr : prev);\n                });\n                // Prevents non-required dispatches\n                if (timestep !== closest) {\n                  // console.log('Dispatch: Zoom with Res from / to', timestep, closest)\n                  onZoom({\n                    newRes: closest,\n                    lastZoomState: u?.scales,\n                    lastThreshold: thresholds?.normal\n                  });\n                }\n              } else {\n                // console.log('Dispatch: Zoom Update States')\n                onZoom({\n                  lastZoomState: u?.scales,\n                  lastThreshold: thresholds?.normal\n                });\n              };\n            };\n          },\n        ]\n      },\n      scales: {\n        x: { time: false },","numLines":35,"startLine":513,"totalLines":627}},"sourceToolAssistantUUID":"f49d62ed-808d-46d3-9ff7-36b73ea5e7f6","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"9f6f5121-0404-49a7-9a15-189b67965bf4","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01VrY2py1iC9iq6RbXkCwRwj","type":"message","role":"assistant","content":[{"type":"text","text":"I also need to check what `frequency` variable refers to in this file — it might be the native metric timestep. Let me check the MetricPlot around line 459 where `resampleConfig` is also referenced."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":773,"cache_read_input_tokens":51898,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":773},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDhTVh9An7WBCVc9i34V","type":"assistant","uuid":"95363910-f44f-41e9-b22b-58a3d9f5ad96","timestamp":"2026-03-20T04:26:23.542Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
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+{"parentUuid":"78322a12-4e8c-4960-94ab-641ee45bf98f","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01Ak535DXdJbGM87CP3S9RCF","toolUseID":"toolu_01Ak535DXdJbGM87CP3S9RCF","timestamp":"2026-03-20T04:26:24.133Z","uuid":"25b585c1-f71e-4cbc-9c83-9eb47d79a66f","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
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\"rgba(239, 230, 69, 0.3)\" : \"rgba(255, 128, 0, 0.3)\",\n    alert: cbmode ? \"rgba(225, 86, 44, 0.3)\" : \"rgba(255, 0, 0, 0.3)\",\n  };\n\n  /* Var Init */\n  let timeoutId = null;\n\n  /* State Init */\n  let plotWrapper = $state(null);\n  let uplot = $state(null);\n\n  /* Derived */\n  const subClusterTopology = $derived(getContext(\"getHardwareTopology\")(cluster, subCluster));\n  const metricConfig = $derived(getContext(\"getMetricConfig\")(cluster, subCluster, metric));\n  const usesMeanStatsSeries = $derived((statisticsSeries?.mean && statisticsSeries.mean.length != 0));\n  const resampleTrigger = $derived(resampleConfig?.trigger ? Number(resampleConfig.trigger) : (resampleConfig?.targetPoints ? Math.floor(resampleConfig.targetPoints / 4) : null));\n  const resampleResolutions = $derived(resampleConfig?.resolutions ? [...resampleConfig.resolutions] : null);\n  const resampleMinimum = $derived(resampleConfig?.resolutions ? Math.min(...resampleConfig.resolutions) : null);\n  const resampleTargetPoints = $derived(resampleConfig?.targetPoints ? Number(resampleConfig.targetPoints) : null);\n  const useStatsSeries = $derived(!!statisticsSeries); // Display Stats Series By Default if Exists\n  const thresholds = $derived(findJobAggregationThresholds(\n    subClusterTopology,\n    metricConfig,\n    scope\n  ));\n  const longestSeries = $derived.by(() => {\n    if (useStatsSeries) {\n      return usesMeanStatsSeries ? statisticsSeries?.mean?.length : statisticsSeries?.median?.length;\n    } else {\n      return series.reduce((n, series) => Math.max(n, series.data.length), 0);\n    }\n  });\n  const maxX = $derived(longestSeries * timestep);\n  const maxY = $derived.by(() => {\n    let pendingY = 0;\n    if (useStatsSeries) {\n      pendingY = statisticsSeries.max.reduce(\n        (max, x) => Math.max(max, x),\n        thresholds?.normal,\n      ) || thresholds?.normal\n    } else { \n      pendingY = series.reduce(\n          (max, series) => Math.max(max, series?.statistics?.max),\n          thresholds?.normal,\n        ) || thresholds?.normal;\n    }\n\n    if (pendingY >= 10 * thresholds.peak) {\n      // Hard y-range render limit if outliers in series data\n      return (10 * thresholds.peak);\n    } else {\n      return pendingY;\n    }\n  });\n  const plotBands = $derived.by(() => {\n    if (useStatsSeries) {\n      return [\n        { series: [2, 3], fill: cbmode ? \"rgba(0,0,255,0.1)\" : \"rgba(0,255,0,0.1)\" },\n        { series: [3, 1], fill: cbmode ? \"rgba(0,255,0,0.1)\" : \"rgba(255,0,0,0.1)\" },\n      ];\n    };\n    return null;\n  })\n  const plotData = $derived.by(() => {\n    let pendingData = [new Array(longestSeries)];\n    // X\n    if (forNode === true) {\n      // Negative Timestamp Buildup\n      for (let i = 0; i <= longestSeries; i++) {\n        pendingData[0][i] = (longestSeries - i) * timestep * -1;\n      }\n    } else {\n      // Positive Timestamp Buildup\n      for (let j = 0; j < longestSeries; j++) {\n        pendingData[0][j] = j * timestep;\n      };\n    };\n    // Y\n    if (useStatsSeries) {\n      pendingData.push(statisticsSeries.min);\n      pendingData.push(statisticsSeries.max);\n      if (usesMeanStatsSeries) {\n        pendingData.push(statisticsSeries.mean);\n      } else {\n        pendingData.push(statisticsSeries.median);\n      }\n\n    } else {\n      for (let i = 0; i < series.length; i++) {\n        pendingData.push(series[i].data);\n      };\n    };\n    return pendingData;\n  })\n  const plotSeries = $derived.by(() => {\n    let pendingSeries = [\n      // Note: X-Legend Will not be shown as soon as Y-Axis are in extendedMode\n      {\n        label: \"Runtime\",\n        value: (u, ts, sidx, didx) =>\n        (didx == null) ? null : formatDurationTime(ts, forNode),\n      }\n    ];\n    // Y\n    if (useStatsSeries) {\n      pendingSeries.push({\n        label: \"min\",\n        scale: \"y\",\n        width: lineWidth,\n        stroke: cbmode ? \"rgb(0,255,0)\" : \"red\",\n      });\n      pendingSeries.push({\n        label: \"max\",\n        scale: \"y\",\n        width: lineWidth,\n        stroke: cbmode ? \"rgb(0,0,255)\" : \"green\",\n      });\n      pendingSeries.push({\n        label: usesMeanStatsSeries ? \"mean\" : \"median\",\n        scale: \"y\",\n        width: lineWidth,\n        stroke: \"black\",\n      });\n\n    } else {\n      for (let i = 0; i < series?.length; i++) {\n        // Default\n        if (!extendedLegendData) {\n          pendingSeries.push({\n            label: \n              scope === \"node\"\n              ? series[i].hostname\n              : scope === \"accelerator\"\n                ? 'Acc #' + (i + 1) // series[i].id.slice(9, 14) | Too Hardware Specific\n                : scope + \" #\" + (i + 1),\n            scale: \"y\",\n            width: lineWidth,\n            stroke: lineColor(i, clusterCockpitConfig.plotConfiguration_colorScheme),\n          });\n        }\n        // Extended Legend For NodeList\n        else {\n          pendingSeries.push({\n            label: \n              scope === \"node\"\n                ? series[i].hostname\n                : scope === \"accelerator\"\n                  ? 'Acc #' + (i + 1) // series[i].id.slice(9, 14) | Too Hardware Specific\n                  : scope + \" #\" + (i + 1),\n            scale: \"y\",\n            width: lineWidth,\n            stroke: lineColor(i, clusterCockpitConfig.plotConfiguration_colorScheme),\n            values: (u, sidx, idx) => {\n              // \"i\" = \"sidx - 1\" : sidx contains x-axis-data\n              if (idx == null)\n                return {\n                  time: '-',\n                  value: '-',\n                  user: '-',\n                  job: '-'\n                };\n\n              if (series[i].id in extendedLegendData) {\n                return {\n                  time: formatDurationTime(plotData[0][idx], forNode),\n                  value: plotData[sidx][idx],\n                  user: extendedLegendData[series[i].id].user,\n                  job: extendedLegendData[series[i].id].job,\n                };\n              } else {\n                return {\n                  time: formatDurationTime(plotData[0][idx], forNode),\n                  value: plotData[sidx][idx],\n                  user: '-',\n                  job: '-',\n                };\n              }\n            }\n          });\n        }\n      };\n    };\n    return pendingSeries;\n  })\n\n  // This updates plot on all size changes if wrapper (== data) exists\n  $effect(() => {\n    if (plotWrapper) {\n      onSizeChange(width, height);\n    }\n  });\n\n  /* Functions */\n  function timeIncrs(timestep, maxX, forNode) {\n    if (forNode === true) {\n      return [60, 120, 240, 300, 360, 480, 600, 900, 1800, 3600, 7200, 14400, 21600]; // forNode fixed increments\n    } else {\n      let incrs = [];\n      for (let t = timestep; t < maxX; t *= 10)\n        incrs.push(t, t * 2, t * 3, t * 5);\n\n      return incrs;\n    }\n  }\n\n  // removed arg \"subcluster\": input metricconfig and topology now directly derived from subcluster\n  function findJobAggregationThresholds(\n    subClusterTopology,\n    metricConfig,\n    scope\n  ) {\n\n    if (!subClusterTopology || !metricConfig || !scope) {\n      console.warn(\"Argument missing for findJobAggregationThresholds!\");\n      return null;\n    }\n\n    // handle special *-stat scopes\n    if (scope.match(/(.*)-stat$/)) {\n      const statParts = scope.split('-');\n      scope = statParts[0]\n    }\n\n    if (metricConfig?.aggregation == \"avg\") {\n      // Return as Configured\n      return {\n        normal: metricConfig.normal,\n        caution: metricConfig.caution,\n        alert: metricConfig.alert,\n        peak: metricConfig.peak,\n      };\n    }\n\n    if (metricConfig?.aggregation == \"sum\") {\n      let divisor;\n      if (scope == 'node')              divisor = 1 // Node Scope: Always return unscaled (Maximum Scope)\n      // Partial Scopes: Get from Topologies\n      else if (scope == 'socket')       divisor = subClusterTopology?.socket?.length || 1;\n      else if (scope == \"memoryDomain\") divisor = subClusterTopology?.memoryDomain?.length || 1;\n      else if (scope == \"core\")         divisor = subClusterTopology?.core?.length || 1;\n      else if (scope == \"hwthread\")     divisor = subClusterTopology?.node?.length || 1;\n      else if (scope == \"accelerator\")  divisor = subClusterTopology?.accelerators?.length || 1;\n      else {\n        console.log('Unknown scope, return default aggregation thresholds for sum', scope)\n        divisor = 1;\n      }\n\n      return {\n        peak: metricConfig.peak / divisor,\n        normal: metricConfig.normal / divisor,\n        caution: metricConfig.caution / divisor,\n        alert: metricConfig.alert / divisor,\n      };\n    }\n\n    console.warn(\n      \"Missing or unkown aggregation mode (sum/avg) for metric:\",\n      metricConfig,\n    );\n    return null;\n  }\n\n  // UPLOT PLUGIN // converts the legend into a simple tooltip\n  function legendAsTooltipPlugin({\n    className,\n    style = { backgroundColor: \"rgba(255, 249, 196, 0.92)\", color: \"black\" },\n  } = {}) {\n    let legendEl;\n    const dataSize = series.length;\n\n    function init(u, opts) {\n      legendEl = u.root.querySelector(\".u-legend\");\n\n      legendEl.classList.remove(\"u-inline\");\n      className && legendEl.classList.add(className);\n\n      uPlot.assign(legendEl.style, {\n        minWidth: extendedLegendData ? \"300px\" : \"100px\",\n        textAlign: \"left\",\n        pointerEvents: \"none\",\n        display: \"none\",\n        position: \"absolute\",\n        left: 0,\n        top: 0,\n        zIndex: 100,\n        boxShadow: \"2px 2px 10px rgba(0,0,0,0.5)\",\n        ...style,\n      });\n\n      // conditional hide series color markers:\n      if (\n        useStatsSeries || // Min/Max/Median Self-Explanatory\n        dataSize === 1 || // Only one Y-Dataseries\n        dataSize > 8 // More than 8 Y-Dataseries\n      ) {\n        const idents = legendEl.querySelectorAll(\".u-marker\");\n        for (let i = 0; i < idents.length; i++)\n          idents[i].style.display = \"none\";\n      }\n\n      const overEl = u.over;\n      overEl.style.overflow = \"visible\";\n\n      // move legend into plot bounds\n      overEl.appendChild(legendEl);\n\n      // show/hide tooltip on enter/exit\n      overEl.addEventListener(\"mouseenter\", () => {\n        legendEl.style.display = null;\n      });\n      overEl.addEventListener(\"mouseleave\", () => {\n        legendEl.style.display = \"none\";\n      });\n\n      // let tooltip exit plot\n      // overEl.style.overflow = \"visible\";\n    }\n\n    function update(u) {\n      const { left, top } = u.cursor;\n      const internalWidth = u?.over?.querySelector(\".u-legend\")?.offsetWidth ? u.over.querySelector(\".u-legend\").offsetWidth : 0;\n      if (enableFlip && (left < (width/2))) {\n        legendEl.style.transform = \"translate(\" + (left + 15) + \"px, \" + (top + 15) + \"px)\";\n      } else {\n        legendEl.style.transform = \"translate(\" + (left - internalWidth - 15) + \"px, \" + (top + 15) + \"px)\";\n      }\n    }\n\n    if (dataSize <= 12 || useStatsSeries) {\n      return {\n        hooks: {\n          init: init,\n          setCursor: update,\n        },\n      };\n    } else {\n      // Setting legend-opts show/live as object with false here will not work ...\n      return {};\n    }\n  }\n\n  // RETURN BG COLOR FROM THRESHOLD\n  function backgroundColor() {\n    if (\n      clusterCockpitConfig.plotConfiguration_colorBackground == false ||\n      !thresholds ||\n      !(series && series.every((s) => s.statistics != null))\n    )\n      return backgroundColors.normal;\n\n    let cond =\n      thresholds.alert < thresholds.caution\n        ? (a, b) => a <= b\n        : (a, b) => a >= b;\n\n    let avg =\n      series.reduce((sum, series) => sum + series.statistics.avg, 0) /\n      series.length;\n\n    if (Number.isNaN(avg)) return backgroundColors.normal;\n\n    if (cond(avg, thresholds.alert)) return backgroundColors.alert;\n\n    if (cond(avg, thresholds.caution)) return backgroundColors.caution;\n\n    return backgroundColors.normal;\n  }\n\n  function lineColor(index, colors) {\n    return colors[index % colors.length];\n  }\n\n  function render(ren_width, ren_height) {\n    // Set Options\n    const opts = {\n      width,\n      height,\n      plugins: [legendAsTooltipPlugin()],\n      series: plotSeries,\n      axes: [\n        {\n          scale: \"x\",\n          space: 35,\n          incrs: timeIncrs(timestep, maxX, forNode),\n          values: (_, vals) => vals.map((v) => formatDurationTime(v, forNode)),\n        },\n        {\n          scale: \"y\",\n          grid: { show: true },\n          labelFont: \"sans-serif\",\n          values: (u, vals) => vals.map((v) => formatNumber(v)),\n        },\n      ],\n      bands: plotBands,\n      padding: [5, 10, -20, 0],\n      hooks: {\n        init: [\n          (u) => {\n            /* IF Zoom Enabled */\n            if (resampleConfig && !forNode) {\n              u.over.addEventListener(\"dblclick\", (e) => {\n                // console.log('Dispatch: Zoom Reset')\n                onZoom({\n                  lastZoomState: {\n                    x: { time: false },\n                    y: { auto: true }\n                  }\n                });\n              });\n            };\n          },\n        ],\n        draw: [\n          (u) => {\n            // Draw plot type label:\n            let textl = `${scope}${plotSeries.length > 2 ? \"s\" : \"\"}${\n              useStatsSeries\n                ? (usesMeanStatsSeries ? \": min/mean/max\" : \": min/median/max\")\n                : metricConfig != null && scope != metricConfig.scope\n                  ? ` (${metricConfig.aggregation})`\n                  : \"\"\n            }`;\n            let textr = `${isShared && scope != \"core\" && scope != \"accelerator\" ? \"[Shared]\" : \"\"}`;\n            u.ctx.save();\n            u.ctx.textAlign = \"start\"; // 'end'\n            u.ctx.fillStyle = \"black\";\n            u.ctx.fillText(textl, u.bbox.left + 10, u.bbox.top + (forNode ? 0 : 10));\n            u.ctx.textAlign = \"end\";\n            u.ctx.fillStyle = \"black\";\n            u.ctx.fillText(\n              textr,\n              u.bbox.left + u.bbox.width - 10,\n              u.bbox.top + (forNode ? 0 : 10),\n            );\n            // u.ctx.fillText(text, u.bbox.left + u.bbox.width - 10, u.bbox.top + u.bbox.height - 10) // Recipe for bottom right\n\n            if (!thresholds) {\n              u.ctx.restore();\n              return;\n            }\n\n            let y = u.valToPos(thresholds.normal, \"y\", true);\n            u.ctx.save();\n            u.ctx.lineWidth = lineWidth;\n            u.ctx.strokeStyle = normalLineColor;\n            u.ctx.setLineDash([5, 5]);\n            u.ctx.beginPath();\n            u.ctx.moveTo(u.bbox.left, y);\n            u.ctx.lineTo(u.bbox.left + u.bbox.width, y);\n            u.ctx.stroke();\n            u.ctx.restore();\n          },\n        ],\n        setScale: [\n          (u, key) => { // If ZoomResample is Configured && Not System/Node View\n            if (resampleConfig && !forNode && key === 'x') {\n              const numX = (u.series[0].idxs[1] - u.series[0].idxs[0])\n              if (numX <= resampleTrigger && timestep !== resampleMinimum) {\n                /* Get closest zoom level; prevents multiple iterative zoom requests for big zoom-steps (e.g. 600 -> 300 -> 120 -> 60) */\n                // Which resolution to theoretically request to achieve 30 or more visible data points:\n                const target = (numX * timestep) / resampleTrigger\n                // Which configured resolution actually matches the closest to theoretical target:\n                const closest = resampleResolutions.reduce(function(prev, curr) {\n                  return (Math.abs(curr - target) < Math.abs(prev - target) ? curr : prev);\n                });\n                // Prevents non-required dispatches\n                if (timestep !== closest) {\n                  // console.log('Dispatch: Zoom with Res from / to', timestep, closest)\n                  onZoom({\n                    newRes: closest,\n                    lastZoomState: u?.scales,\n                    lastThreshold: thresholds?.normal\n                  });\n                }\n              } else {\n                // console.log('Dispatch: Zoom Update States')\n                onZoom({\n                  lastZoomState: u?.scales,\n                  lastThreshold: thresholds?.normal\n                });\n              };\n            };\n          },\n        ]\n      },\n      scales: {\n        x: { time: false },\n        y: maxY ? { min: 0, max: (maxY * 1.1) } : {auto: true}, // Add some space to upper render limit\n      },\n      legend: {\n        // Display legend until max 12 Y-dataseries\n        show: series.length <= 12 || useStatsSeries,\n        live: series.length <= 12 || useStatsSeries,\n      },\n      cursor: { \n        drag: { x: true, y: true },\n      }\n    };\n\n    // Handle Render\n    if (!uplot) {\n      opts.width = ren_width;\n      opts.height = ren_height;\n      \n      if (plotSync) {\n        opts.cursor.sync = { \n          key: plotSync.key,\n          scales: [\"x\", null],\n        }\n      }\n\n      if (zoomState && metricConfig?.aggregation == \"avg\") {\n        opts.scales = {...zoomState}\n      } else if (zoomState && metricConfig?.aggregation == \"sum\") {\n        // Allow Zoom In === Ymin changed\n        if (zoomState.y.min !== 0) { // scope change?: only use zoomState if thresholds match\n          if ((thresholdState === thresholds?.normal)) { opts.scales = {...zoomState} };\n        } // else: reset scaling to default\n      }\n\n      uplot = new uPlot(opts, plotData, plotWrapper);\n    } else {\n      uplot.setSize({ width: ren_width, height: ren_height });\n    }\n  }\n\n  function onSizeChange(chg_width, chg_height) {\n    if (!uplot) return;\n    if (timeoutId != null) clearTimeout(timeoutId);\n    timeoutId = setTimeout(() => {\n      timeoutId = null;\n      render(chg_width, chg_height);\n    }, renderSleepTime);\n  }\n\n  /* On Mount */\n  onMount(() => {\n    if (plotWrapper) {\n      render(width, height);\n    }\n  });\n\n  /* On Destroy */\n  onDestroy(() => {\n    if (timeoutId != null) clearTimeout(timeoutId);\n    if (uplot) uplot.destroy();\n  });\n\n</script>\n\n<!-- Define $width Wrapper and NoData Card -->\n{#if series[0]?.data && series[0].data.length > 0}\n  <div bind:this={plotWrapper} bind:clientWidth={width}\n        style=\"background-color: {backgroundColor()};\" class={forNode ? 'py-2 rounded' : 'rounded'}\n  ></div>\n{:else}\n  <Card color=\"warning\" class={forNode ? 'mx-2' : 'mt-2'}>\n    <CardHeader class=\"mb-0\">\n      <b>Empty Metric</b>\n    </CardHeader>\n    <CardBody>\n      <p>Cannot render plot for <b>{metric}</b>.</p>\n      <p class=\"mb-1\">Metric found but returned without timeseries data.</p>\n    </CardBody>\n  </Card>\n{/if}\n","structuredPatch":[{"oldStart":516,"oldLines":24,"newStart":516,"newLines":29,"lines":["             if (resampleConfig && !forNode && key === 'x') {","               const numX = (u.series[0].idxs[1] - u.series[0].idxs[0])","               if (numX <= resampleTrigger && timestep !== resampleMinimum) {","-                /* Get closest zoom level; prevents multiple iterative zoom requests for big zoom-steps (e.g. 600 -> 300 -> 120 -> 60) */","-                // Which resolution to theoretically request to achieve 30 or more visible data points:","-                const target = (numX * timestep) / resampleTrigger","-                // Which configured resolution actually matches the closest to theoretical target:","-                const closest = resampleResolutions.reduce(function(prev, curr) {","-                  return (Math.abs(curr - target) < Math.abs(prev - target) ? curr : prev);","-                });","+                let newRes;","+                if (resampleTargetPoints && !resampleResolutions) {","+                  // Policy-based: compute resolution dynamically from visible window","+                  const visibleDuration = (u.scales.x.max - u.scales.x.min);","+                  const nativeTimestep = metricConfig?.timestep || timestep;","+                  newRes = Math.ceil(visibleDuration / resampleTargetPoints / nativeTimestep) * nativeTimestep;","+                  if (newRes < nativeTimestep) newRes = nativeTimestep;","+                } else if (resampleResolutions) {","+                  // Array-based: find closest configured resolution","+                  const target = (numX * timestep) / resampleTrigger;","+                  newRes = resampleResolutions.reduce(function(prev, curr) {","+                    return (Math.abs(curr - target) < Math.abs(prev - target) ? curr : prev);","+                  });","+                }","                 // Prevents non-required dispatches","-                if (timestep !== closest) {","-                  // console.log('Dispatch: Zoom with Res from / to', timestep, closest)","+                if (newRes && timestep !== newRes) {","                   onZoom({","-                    newRes: closest,","+                    newRes: newRes,","                     lastZoomState: u?.scales,","                     lastThreshold: thresholds?.normal","                   });","                 }","               } else {","-                // console.log('Dispatch: Zoom Update States')","                 onZoom({","                   lastZoomState: u?.scales,","                   lastThreshold: thresholds?.normal"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"8116fb7d-115d-450c-84e9-6101f9806a7b","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"8bf69ef2-b8ae-4b16-a8b2-71879794eeb9","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01LBJsPPdpc8gAMiywPNDtNh","type":"message","role":"assistant","content":[{"type":"text","text":"Now update the route handler to pass policy-derived resample config. Let me read how the `Resampling` field is currently set."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1061,"cache_read_input_tokens":53021,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1061},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDhUi9GXxnWSLtVZvGea","type":"assistant","uuid":"959b1271-28ed-43f0-998e-1a5d442f97d4","timestamp":"2026-03-20T04:26:39.795Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"959b1271-28ed-43f0-998e-1a5d442f97d4","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01LBJsPPdpc8gAMiywPNDtNh","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014Ne8Ekkx34JyhJmDbtAXkk","name":"Read","input":{"file_path":"/Users/jan/tmp/cc-backend/internal/routerconfig/routes.go","offset":490,"limit":25},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1061,"cache_read_input_tokens":53021,"output_tokens":137,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1061,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDhUi9GXxnWSLtVZvGea","type":"assistant","uuid":"70e0b459-e6c4-484c-9fba-aad1b1b8d9d2","timestamp":"2026-03-20T04:26:40.455Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"70e0b459-e6c4-484c-9fba-aad1b1b8d9d2","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_014Ne8Ekkx34JyhJmDbtAXkk","toolUseID":"toolu_014Ne8Ekkx34JyhJmDbtAXkk","timestamp":"2026-03-20T04:26:40.465Z","uuid":"8424f91a-8c12-435b-8455-db020c5538bc","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"70e0b459-e6c4-484c-9fba-aad1b1b8d9d2","isSidechain":false,"promptId":"0763b03c-10c2-419e-8e69-b6ee9bffed71","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014Ne8Ekkx34JyhJmDbtAXkk","type":"tool_result","content":"   490→\t\t\t// Get User -> What if NIL?\n   491→\t\t\tuser := repository.GetUserFromContext(r.Context())\n   492→\n   493→\t\t\t// Get Roles\n   494→\t\t\tavailableRoles, _ := schema.GetValidRolesMap(user)\n   495→\n   496→\t\t\tpage := web.Page{\n   497→\t\t\t\tTitle:      title,\n   498→\t\t\t\tUser:       *user,\n   499→\t\t\t\tRoles:      availableRoles,\n   500→\t\t\t\tBuild:      buildInfo,\n   501→\t\t\t\tConfig:     conf,\n   502→\t\t\t\tResampling: config.Keys.EnableResampling,\n   503→\t\t\t\tInfos:      infos,\n   504→\t\t\t}\n   505→\n   506→\t\t\tif route.Filter {\n   507→\t\t\t\tpage.FilterPresets = buildFilterPresets(r.URL.Query())\n   508→\t\t\t}\n   509→\n   510→\t\t\tweb.RenderTemplate(rw, route.Template, &page)\n   511→\t\t})\n   512→\t}\n   513→}\n   514→"}]},"uuid":"fc54d247-aaf2-4fb4-8a0c-34263b05c3fb","timestamp":"2026-03-20T04:26:40.464Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/internal/routerconfig/routes.go","content":"\t\t\t// Get User -> What if NIL?\n\t\t\tuser := repository.GetUserFromContext(r.Context())\n\n\t\t\t// Get Roles\n\t\t\tavailableRoles, _ := schema.GetValidRolesMap(user)\n\n\t\t\tpage := web.Page{\n\t\t\t\tTitle:      title,\n\t\t\t\tUser:       *user,\n\t\t\t\tRoles:      availableRoles,\n\t\t\t\tBuild:      buildInfo,\n\t\t\t\tConfig:     conf,\n\t\t\t\tResampling: config.Keys.EnableResampling,\n\t\t\t\tInfos:      infos,\n\t\t\t}\n\n\t\t\tif route.Filter {\n\t\t\t\tpage.FilterPresets = buildFilterPresets(r.URL.Query())\n\t\t\t}\n\n\t\t\tweb.RenderTemplate(rw, route.Template, &page)\n\t\t})\n\t}\n}\n","numLines":25,"startLine":490,"totalLines":589}},"sourceToolAssistantUUID":"70e0b459-e6c4-484c-9fba-aad1b1b8d9d2","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"fc54d247-aaf2-4fb4-8a0c-34263b05c3fb","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WGxCNAVmx19LfEQZjue9FR","type":"message","role":"assistant","content":[{"type":"text","text":"I need to augment the `Resampling` config that's passed to the page to include `targetPoints` when a user has a policy set. Let me update the route handler."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":413,"cache_read_input_tokens":54082,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":413},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDhV3AWKV8Y1YWuDN6n5","type":"assistant","uuid":"f45efb64-64ac-46f6-9e8d-e92a54f94865","timestamp":"2026-03-20T04:26:43.718Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"f45efb64-64ac-46f6-9e8d-e92a54f94865","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WGxCNAVmx19LfEQZjue9FR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DMTjLbsfc1mFye9sRBTAxm","name":"Read","input":{"file_path":"/Users/jan/tmp/cc-backend/internal/routerconfig/routes.go","limit":20},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":413,"cache_read_input_tokens":54082,"output_tokens":130,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":413,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDhV3AWKV8Y1YWuDN6n5","type":"assistant","uuid":"65c54152-4354-49a3-99f8-f2df9107b26c","timestamp":"2026-03-20T04:26:43.981Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"65c54152-4354-49a3-99f8-f2df9107b26c","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01DMTjLbsfc1mFye9sRBTAxm","toolUseID":"toolu_01DMTjLbsfc1mFye9sRBTAxm","timestamp":"2026-03-20T04:26:43.998Z","uuid":"5c3c3602-234e-4dbb-a3b2-343d5b4ad761","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"65c54152-4354-49a3-99f8-f2df9107b26c","isSidechain":false,"promptId":"0763b03c-10c2-419e-8e69-b6ee9bffed71","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DMTjLbsfc1mFye9sRBTAxm","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→package routerConfig\n     6→\n     7→import (\n     8→\t\"fmt\"\n     9→\t\"net/http\"\n    10→\t\"net/url\"\n    11→\t\"os\"\n    12→\t\"strconv\"\n    13→\t\"strings\"\n    14→\t\"time\"\n    15→\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    19→\t\"github.com/ClusterCockpit/cc-backend/web\"\n    20→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\""}]},"uuid":"0eb08eaf-8320-4721-9b9d-870d16678b50","timestamp":"2026-03-20T04:26:43.997Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/internal/routerconfig/routes.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage routerConfig\n\nimport (\n\t\"fmt\"\n\t\"net/http\"\n\t\"net/url\"\n\t\"os\"\n\t\"strconv\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/web\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"","numLines":20,"startLine":1,"totalLines":589}},"sourceToolAssistantUUID":"65c54152-4354-49a3-99f8-f2df9107b26c","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"0eb08eaf-8320-4721-9b9d-870d16678b50","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01XbyjZKxBYUuKzZjcKDhU5f","type":"message","role":"assistant","content":[{"type":"text","text":"I need to modify the route setup to derive policy-based resampling config from user preferences. The `Resampling` field is `*config.ResampleConfig`, and I need to add `TargetPoints` to that struct. Let me update the `ResampleConfig` struct."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":423,"cache_read_input_tokens":54495,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":423},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDhVJG7875XCYZJq2RMs","type":"assistant","uuid":"17bfeeb0-25a6-4dd1-af23-2987ed362dc0","timestamp":"2026-03-20T04:26:47.403Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package config implements the program configuration data structures, validation and parsing\npackage config\n\nimport (\n\t\"bytes\"\n\t\"encoding/json\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n)\n\ntype ProgramConfig struct {\n\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n\tAddr string `json:\"addr\"`\n\n\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n\n\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n\n\t// Drop root permissions once .env was read and the port was taken.\n\tUser  string `json:\"user\"`\n\tGroup string `json:\"group\"`\n\n\t// Disable authentication (for everything: API, Web-UI, ...)\n\tDisableAuthentication bool `json:\"disable-authentication\"`\n\n\t// If `embed-static-files` is true (default), the frontend files are directly\n\t// embeded into the go binary and expected to be in web/frontend. Only if\n\t// it is false the files in `static-files` are served instead.\n\tEmbedStaticFiles bool   `json:\"embed-static-files\"`\n\tStaticFiles      string `json:\"static-files\"`\n\n\t// Path to SQLite database file\n\tDB string `json:\"db\"`\n\n\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n\n\t// Validate json input against schema\n\tValidate bool `json:\"validate\"`\n\n\t// If 0 or empty, the session does not expire!\n\tSessionMaxAge string `json:\"session-max-age\"`\n\n\t// If both those options are not empty, use HTTPS using those certificates.\n\tHTTPSCertFile string `json:\"https-cert-file\"`\n\tHTTPSKeyFile  string `json:\"https-key-file\"`\n\n\t// If not the empty string and `addr` does not end in \":80\",\n\t// redirect every request incoming at port 80 to that url.\n\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n\n\t// Where to store MachineState files\n\tMachineStateDir string `json:\"machine-state-dir\"`\n\n\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n\n\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n\n\t// Energy Mix CO2 Emission Constant [g/kWh]\n\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n\tEmissionConstant int `json:\"emission-constant\"`\n\n\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n\tEnableResampling *ResampleConfig `json:\"resampling\"`\n\n\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n\tSystemdUnit string `json:\"systemd-unit\"`\n\n\t// Node state retention configuration\n\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n\n\t// Database tuning configuration\n\tDbConfig *DbConfig `json:\"db-config\"`\n}\n\ntype DbConfig struct {\n\tCacheSizeMB               int `json:\"cache-size-mb\"`\n\tSoftHeapLimitMB           int `json:\"soft-heap-limit-mb\"`\n\tMaxOpenConnections        int `json:\"max-open-connections\"`\n\tMaxIdleConnections        int `json:\"max-idle-connections\"`\n\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n\tBusyTimeoutMs             int `json:\"busy-timeout-ms\"`\n}\n\ntype NodeStateRetention struct {\n\tPolicy             string `json:\"policy\"`      // \"delete\" or \"move\"\n\tAge                int    `json:\"age\"`         // hours, default 24\n\tTargetKind         string `json:\"target-kind\"` // \"file\" or \"s3\"\n\tTargetPath         string `json:\"target-path\"`\n\tTargetEndpoint     string `json:\"target-endpoint\"`\n\tTargetBucket       string `json:\"target-bucket\"`\n\tTargetAccessKey    string `json:\"target-access-key\"`\n\tTargetSecretKey    string `json:\"target-secret-key\"`\n\tTargetRegion       string `json:\"target-region\"`\n\tTargetUsePathStyle bool   `json:\"target-use-path-style\"`\n\tMaxFileSizeMB      int    `json:\"max-file-size-mb\"`\n}\n\ntype ResampleConfig struct {\n\t// Minimum number of points to trigger resampling of data\n\tMinimumPoints int `json:\"minimum-points\"`\n\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n\tResolutions []int `json:\"resolutions\"`\n\t// Trigger next zoom level at less than this many visible datapoints\n\tTrigger int `json:\"trigger\"`\n}\n\ntype NATSConfig struct {\n\tSubjectJobEvent  string `json:\"subject-job-event\"`\n\tSubjectNodeState string `json:\"subject-node-state\"`\n\tJobConcurrency   int    `json:\"job-concurrency\"`\n\tNodeConcurrency  int    `json:\"node-concurrency\"`\n}\n\ntype IntRange struct {\n\tFrom int `json:\"from\"`\n\tTo   int `json:\"to\"`\n}\n\ntype TimeRange struct {\n\tFrom  *time.Time `json:\"from\"`\n\tTo    *time.Time `json:\"to\"`\n\tRange string     `json:\"range,omitempty\"`\n}\n\ntype FilterRanges struct {\n\tDuration  *IntRange  `json:\"duration\"`\n\tNumNodes  *IntRange  `json:\"num-nodes\"`\n\tStartTime *TimeRange `json:\"start-time\"`\n}\n\nvar Keys ProgramConfig = ProgramConfig{\n\tAddr:                      \"localhost:8080\",\n\tEmbedStaticFiles:          true,\n\tDB:                        \"./var/job.db\",\n\tSessionMaxAge:             \"168h\",\n\tStopJobsExceedingWalltime: 0,\n\tShortRunningJobsDuration:  5 * 60,\n}\n\nfunc Init(mainConfig json.RawMessage) {\n\tValidate(configSchema, mainConfig)\n\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&Keys); err != nil {\n\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n\t}\n\n\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n\t}\n}\n","structuredPatch":[{"oldStart":112,"oldLines":6,"newStart":112,"newLines":8,"lines":["   Resolutions []int `json:\"resolutions\"`","   // Trigger next zoom level at less than this many visible datapoints","   Trigger int `json:\"trigger\"`","+  // Policy-derived target point count (set dynamically from user preference, not from config.json)","+  TargetPoints int `json:\"targetPoints,omitempty\"`"," }"," "," type NATSConfig struct {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"cc6c520c-cbb4-4411-937f-d3a7a1ee91bd","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage routerConfig\n\nimport (\n\t\"fmt\"\n\t\"net/http\"\n\t\"net/url\"\n\t\"os\"\n\t\"strconv\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/web\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t\"github.com/go-chi/chi/v5\"\n)\n\ntype InfoType map[string]any\n\ntype Route struct {\n\tRoute    string\n\tTemplate string\n\tTitle    string\n\tFilter   bool\n\tSetup    func(i InfoType, r *http.Request) InfoType\n}\n\nvar routes []Route = []Route{\n\t{\"/\", \"home.tmpl\", \"ClusterCockpit\", false, setupHomeRoute},\n\t{\"/config\", \"config.tmpl\", \"Settings\", false, setupConfigRoute},\n\t{\"/monitoring/jobs/\", \"monitoring/jobs.tmpl\", \"Jobs - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { return i }},\n\t{\"/monitoring/job/{id:[0-9]+}\", \"monitoring/job.tmpl\", \"Job <ID> - ClusterCockpit\", false, setupJobRoute},\n\t{\"/monitoring/users/\", \"monitoring/list.tmpl\", \"Users - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { i[\"listType\"] = \"USER\"; return i }},\n\t{\"/monitoring/projects/\", \"monitoring/list.tmpl\", \"Projects - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { i[\"listType\"] = \"PROJECT\"; return i }},\n\t{\"/monitoring/tags/\", \"monitoring/taglist.tmpl\", \"Tags - ClusterCockpit\", false, setupTaglistRoute},\n\t{\"/monitoring/user/{id}\", \"monitoring/user.tmpl\", \"User <ID> - ClusterCockpit\", true, setupUserRoute},\n\t{\"/monitoring/systems/{cluster}\", \"monitoring/systems.tmpl\", \"Cluster <ID> Node Overview - ClusterCockpit\", false, setupClusterOverviewRoute},\n\t{\"/monitoring/systems/list/{cluster}\", \"monitoring/systems.tmpl\", \"Cluster <ID> Node List - ClusterCockpit\", false, setupClusterListRoute},\n\t{\"/monitoring/systems/list/{cluster}/{subcluster}\", \"monitoring/systems.tmpl\", \"Cluster <ID> <SID> Node List - ClusterCockpit\", false, setupClusterListRoute},\n\t{\"/monitoring/node/{cluster}/{hostname}\", \"monitoring/node.tmpl\", \"Node <ID> - ClusterCockpit\", false, setupNodeRoute},\n\t{\"/monitoring/analysis/{cluster}\", \"monitoring/analysis.tmpl\", \"Analysis - ClusterCockpit\", true, setupAnalysisRoute},\n\t{\"/monitoring/status/{cluster}\", \"monitoring/status.tmpl\", \"<ID> Dashboard - ClusterCockpit\", false, setupClusterStatusRoute},\n\t{\"/monitoring/status/detail/{cluster}\", \"monitoring/status.tmpl\", \"Status of <ID> - ClusterCockpit\", false, setupClusterDetailRoute},\n\t{\"/monitoring/dashboard/{cluster}\", \"monitoring/dashboard.tmpl\", \"<ID> Dashboard - ClusterCockpit\", false, setupDashboardRoute},\n\t{\"/monitoring/logs\", \"monitoring/logs.tmpl\", \"Logs - ClusterCockpit\", false, func(i InfoType, r *http.Request) InfoType { return i }},\n}\n\nfunc setupHomeRoute(i InfoType, r *http.Request) InfoType {\n\tjobRepo := repository.GetJobRepository()\n\tgroupBy := model.AggregateCluster\n\n\t// startJobCount := time.Now()\n\tstats, err := jobRepo.JobCountGrouped(r.Context(), nil, &groupBy)\n\tif err != nil {\n\t\tcclog.Warnf(\"failed to count jobs: %s\", err.Error())\n\t}\n\t// cclog.Infof(\"Timer HOME ROUTE startJobCount: %s\", time.Since(startJobCount))\n\n\t// startRunningJobCount := time.Now()\n\tstats, err = jobRepo.AddJobCountGrouped(r.Context(), nil, &groupBy, stats, \"running\")\n\tif err != nil {\n\t\tcclog.Warnf(\"failed to count running jobs: %s\", err.Error())\n\t}\n\t// cclog.Infof(\"Timer HOME ROUTE startRunningJobCount: %s\", time.Since(startRunningJobCount))\n\n\ti[\"clusters\"] = stats\n\n\tif util.CheckFileExists(\"./var/notice.txt\") {\n\t\tmsg, err := os.ReadFile(\"./var/notice.txt\")\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"failed to read notice.txt file: %s\", err.Error())\n\t\t} else {\n\t\t\ti[\"message\"] = string(msg)\n\t\t}\n\t}\n\n\treturn i\n}\n\nfunc setupConfigRoute(i InfoType, r *http.Request) InfoType {\n\tif util.CheckFileExists(\"./var/notice.txt\") {\n\t\tmsg, err := os.ReadFile(\"./var/notice.txt\")\n\t\tif err == nil {\n\t\t\ti[\"ncontent\"] = string(msg)\n\t\t}\n\t}\n\n\treturn i\n}\n\nfunc setupJobRoute(i InfoType, r *http.Request) InfoType {\n\ti[\"id\"] = chi.URLParam(r, \"id\")\n\tif config.Keys.EmissionConstant != 0 {\n\t\ti[\"emission\"] = config.Keys.EmissionConstant\n\t}\n\treturn i\n}\n\nfunc setupUserRoute(i InfoType, r *http.Request) InfoType {\n\tusername := chi.URLParam(r, \"id\")\n\ti[\"id\"] = username\n\ti[\"username\"] = username\n\t// TODO: If forbidden (== err exists), redirect to error page\n\tif user, _ := repository.GetUserRepository().FetchUserInCtx(r.Context(), username); user != nil {\n\t\ti[\"name\"] = user.Name\n\t\ti[\"email\"] = user.Email\n\t}\n\treturn i\n}\n\nfunc setupClusterStatusRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\ti[\"id\"] = cluster\n\ti[\"cluster\"] = cluster\n\ti[\"displayType\"] = \"DASHBOARD\"\n\treturn i\n}\n\nfunc setupClusterDetailRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\ti[\"id\"] = cluster\n\ti[\"cluster\"] = cluster\n\ti[\"displayType\"] = \"DETAILS\"\n\treturn i\n}\n\nfunc setupDashboardRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\ti[\"id\"] = cluster\n\ti[\"cluster\"] = cluster\n\ti[\"displayType\"] = \"PUBLIC\" // Used in Main Template\n\treturn i\n}\n\nfunc setupClusterOverviewRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\ti[\"id\"] = cluster\n\ti[\"cluster\"] = cluster\n\ti[\"displayType\"] = \"OVERVIEW\"\n\n\tfrom, to := r.URL.Query().Get(\"from\"), r.URL.Query().Get(\"to\")\n\tif from != \"\" || to != \"\" {\n\t\ti[\"from\"] = from\n\t\ti[\"to\"] = to\n\t}\n\treturn i\n}\n\nfunc setupClusterListRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\tsubcluster := chi.URLParam(r, \"subcluster\")\n\ti[\"id\"] = cluster\n\ti[\"cluster\"] = cluster\n\ti[\"sid\"] = subcluster\n\ti[\"subCluster\"] = subcluster\n\ti[\"displayType\"] = \"LIST\"\n\n\tfrom, to := r.URL.Query().Get(\"from\"), r.URL.Query().Get(\"to\")\n\tif from != \"\" || to != \"\" {\n\t\ti[\"from\"] = from\n\t\ti[\"to\"] = to\n\t}\n\treturn i\n}\n\nfunc setupNodeRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\thostname := chi.URLParam(r, \"hostname\")\n\ti[\"cluster\"] = cluster\n\ti[\"hostname\"] = hostname\n\ti[\"id\"] = fmt.Sprintf(\"%s (%s)\", cluster, hostname)\n\tfrom, to := r.URL.Query().Get(\"from\"), r.URL.Query().Get(\"to\")\n\tif from != \"\" && to != \"\" {\n\t\ti[\"from\"] = from\n\t\ti[\"to\"] = to\n\t}\n\treturn i\n}\n\nfunc setupAnalysisRoute(i InfoType, r *http.Request) InfoType {\n\ti[\"cluster\"] = chi.URLParam(r, \"cluster\")\n\treturn i\n}\n\nfunc setupTaglistRoute(i InfoType, r *http.Request) InfoType {\n\tjobRepo := repository.GetJobRepository()\n\ttags, counts, err := jobRepo.CountTags(repository.GetUserFromContext(r.Context()))\n\ttagMap := make(map[string][]map[string]any)\n\tif err != nil {\n\t\tcclog.Warnf(\"GetTags failed: %s\", err.Error())\n\t\ti[\"tagmap\"] = tagMap\n\t\treturn i\n\t}\n\t// Reduces displayed tags for unauth'd users\n\tuserAuthlevel := repository.GetUserFromContext(r.Context()).GetAuthLevel()\n\t// Uses tag.ID as second Map-Key component to differentiate tags with identical names\n\tif userAuthlevel >= 4 { // Support+ : Show tags for all scopes, regardless of count\n\t\tfor _, tag := range tags {\n\t\t\ttagItem := map[string]any{\n\t\t\t\t\"id\":    tag.ID,\n\t\t\t\t\"name\":  tag.Name,\n\t\t\t\t\"scope\": tag.Scope,\n\t\t\t\t\"count\": counts[fmt.Sprint(tag.Type, tag.Name, tag.ID)],\n\t\t\t}\n\t\t\ttagMap[tag.Type] = append(tagMap[tag.Type], tagItem)\n\t\t}\n\t} else if userAuthlevel < 4 && userAuthlevel >= 2 { // User+ : Show global and admin scope only if at least 1 tag used, private scope regardless of count\n\t\tfor _, tag := range tags {\n\t\t\ttagCount := counts[fmt.Sprint(tag.Type, tag.Name, tag.ID)]\n\t\t\tif ((tag.Scope == \"global\" || tag.Scope == \"admin\") && tagCount >= 1) || (tag.Scope != \"global\" && tag.Scope != \"admin\") {\n\t\t\t\ttagItem := map[string]any{\n\t\t\t\t\t\"id\":    tag.ID,\n\t\t\t\t\t\"name\":  tag.Name,\n\t\t\t\t\t\"scope\": tag.Scope,\n\t\t\t\t\t\"count\": tagCount,\n\t\t\t\t}\n\t\t\t\ttagMap[tag.Type] = append(tagMap[tag.Type], tagItem)\n\t\t\t}\n\t\t}\n\t} // auth < 2 return nothing for this route\n\n\ti[\"tagmap\"] = tagMap\n\treturn i\n}\n\n// FIXME: Lots of redundant code. Needs refactoring\nfunc buildFilterPresets(query url.Values) map[string]any {\n\tfilterPresets := map[string]any{}\n\n\tif query.Get(\"cluster\") != \"\" {\n\t\tfilterPresets[\"cluster\"] = query.Get(\"cluster\")\n\t}\n\tif query.Get(\"partition\") != \"\" {\n\t\tfilterPresets[\"partition\"] = query.Get(\"partition\")\n\t}\n\tif query.Get(\"project\") != \"\" {\n\t\tfilterPresets[\"project\"] = query.Get(\"project\")\n\t\tfilterPresets[\"projectMatch\"] = \"eq\"\n\t}\n\tif query.Get(\"jobName\") != \"\" {\n\t\tfilterPresets[\"jobName\"] = query.Get(\"jobName\")\n\t}\n\tif len(query[\"user\"]) != 0 {\n\t\tif len(query[\"user\"]) == 1 {\n\t\t\tfilterPresets[\"user\"] = query.Get(\"user\")\n\t\t\tfilterPresets[\"userMatch\"] = \"contains\"\n\t\t} else {\n\t\t\tfilterPresets[\"user\"] = query[\"user\"]\n\t\t\tfilterPresets[\"userMatch\"] = \"in\"\n\t\t}\n\t}\n\tif len(query[\"state\"]) != 0 {\n\t\tfilterPresets[\"state\"] = query[\"state\"]\n\t}\n\tif query.Get(\"shared\") != \"\" {\n\t\tfilterPresets[\"shared\"] = query.Get(\"shared\")\n\t}\n\tif query.Get(\"schedule\") != \"\" {\n\t\tfilterPresets[\"schedule\"] = query.Get(\"schedule\")\n\t}\n\tif rawtags, ok := query[\"tag\"]; ok {\n\t\ttags := make([]int, len(rawtags))\n\t\tfor i, tid := range rawtags {\n\t\t\tvar err error\n\t\t\ttags[i], err = strconv.Atoi(tid)\n\t\t\tif err != nil {\n\t\t\t\ttags[i] = -1\n\t\t\t}\n\t\t}\n\t\tfilterPresets[\"tags\"] = tags\n\t}\n\tif query.Get(\"duration\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"duration\"), \"-\")\n\t\tif len(parts) == 2 {\n\t\t\tif parts[0] == \"lessthan\" {\n\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n\t\t\t\tif lte == nil {\n\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"lessThan\": lt, \"from\": 0, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else if parts[0] == \"morethan\" {\n\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n\t\t\t\tif mte == nil {\n\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"moreThan\": mt, \"from\": 0, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"from\": a, \"to\": b}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tif query.Get(\"node\") != \"\" {\n\t\tfilterPresets[\"node\"] = query.Get(\"node\")\n\t}\n\tif query.Get(\"numNodes\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"numNodes\"), \"-\")\n\t\tif len(parts) == 2 {\n\t\t\tif parts[0] == \"lessthan\" {\n\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n\t\t\t\tif lte == nil {\n\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": 1, \"to\": lt}\n\t\t\t\t}\n\t\t\t} else if parts[0] == \"morethan\" {\n\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n\t\t\t\tif mte == nil {\n\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": mt, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": a, \"to\": b}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tif query.Get(\"numHWThreads\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"numHWThreads\"), \"-\")\n\t\tif len(parts) == 2 {\n\t\t\tif parts[0] == \"lessthan\" {\n\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n\t\t\t\tif lte == nil {\n\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": 1, \"to\": lt}\n\t\t\t\t}\n\t\t\t} else if parts[0] == \"morethan\" {\n\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n\t\t\t\tif mte == nil {\n\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": mt, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": a, \"to\": b}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tif query.Get(\"numAccelerators\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"numAccelerators\"), \"-\")\n\t\tif len(parts) == 2 {\n\t\t\tif parts[0] == \"lessthan\" {\n\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n\t\t\t\tif lte == nil {\n\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": 1, \"to\": lt}\n\t\t\t\t}\n\t\t\t} else if parts[0] == \"morethan\" {\n\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n\t\t\t\tif mte == nil {\n\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": mt, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": a, \"to\": b}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tif len(query[\"dbId\"]) != 0 {\n\t\tfilterPresets[\"dbId\"] = query[\"dbId\"]\n\t}\n\tif query.Get(\"jobId\") != \"\" {\n\t\tif len(query[\"jobId\"]) == 1 {\n\t\t\tfilterPresets[\"jobId\"] = query.Get(\"jobId\")\n\t\t\tfilterPresets[\"jobIdMatch\"] = \"eq\"\n\t\t} else {\n\t\t\tfilterPresets[\"jobId\"] = query[\"jobId\"]\n\t\t\tfilterPresets[\"jobIdMatch\"] = \"in\"\n\t\t}\n\t}\n\tif query.Get(\"arrayJobId\") != \"\" {\n\t\tif num, err := strconv.Atoi(query.Get(\"arrayJobId\")); err == nil {\n\t\t\tfilterPresets[\"arrayJobId\"] = num\n\t\t}\n\t}\n\tif query.Get(\"startTime\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"startTime\"), \"-\")\n\t\tif len(parts) == 2 { // Time in seconds, from - to\n\t\t\ta, e1 := strconv.ParseInt(parts[0], 10, 64)\n\t\t\tb, e2 := strconv.ParseInt(parts[1], 10, 64)\n\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\tfilterPresets[\"startTime\"] = map[string]string{\n\t\t\t\t\t\"from\": time.Unix(a, 0).Format(time.RFC3339),\n\t\t\t\t\t\"to\":   time.Unix(b, 0).Format(time.RFC3339),\n\t\t\t\t}\n\t\t\t}\n\t\t} else { // named range\n\t\t\tfilterPresets[\"startTime\"] = map[string]string{\n\t\t\t\t\"range\": query.Get(\"startTime\"),\n\t\t\t}\n\t\t}\n\t}\n\tif query.Get(\"energy\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"energy\"), \"-\")\n\t\tif len(parts) == 2 {\n\t\t\tif parts[0] == \"lessthan\" {\n\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n\t\t\t\tif lte == nil {\n\t\t\t\t\tfilterPresets[\"energy\"] = map[string]int{\"from\": 1, \"to\": lt}\n\t\t\t\t}\n\t\t\t} else if parts[0] == \"morethan\" {\n\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n\t\t\t\tif mte == nil {\n\t\t\t\t\tfilterPresets[\"energy\"] = map[string]int{\"from\": mt, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\tfilterPresets[\"energy\"] = map[string]int{\"from\": a, \"to\": b}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tif len(query[\"stat\"]) != 0 {\n\t\tstatList := make([]map[string]any, 0)\n\t\tfor _, statEntry := range query[\"stat\"] {\n\t\t\tparts := strings.Split(statEntry, \"-\")\n\t\t\tif len(parts) == 3 { // Metric Footprint Stat Field, from - to\n\t\t\t\tif parts[1] == \"lessthan\" {\n\t\t\t\t\tlt, lte := strconv.ParseInt(parts[2], 10, 64)\n\t\t\t\t\tif lte == nil {\n\t\t\t\t\t\tstatEntry := map[string]any{\n\t\t\t\t\t\t\t\"field\": parts[0],\n\t\t\t\t\t\t\t\"from\":  1,\n\t\t\t\t\t\t\t\"to\":    lt,\n\t\t\t\t\t\t}\n\t\t\t\t\t\tstatList = append(statList, statEntry)\n\t\t\t\t\t}\n\t\t\t\t} else if parts[1] == \"morethan\" {\n\t\t\t\t\tmt, mte := strconv.ParseInt(parts[2], 10, 64)\n\t\t\t\t\tif mte == nil {\n\t\t\t\t\t\tstatEntry := map[string]any{\n\t\t\t\t\t\t\t\"field\": parts[0],\n\t\t\t\t\t\t\t\"from\":  mt,\n\t\t\t\t\t\t\t\"to\":    0,\n\t\t\t\t\t\t}\n\t\t\t\t\t\tstatList = append(statList, statEntry)\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\ta, e1 := strconv.ParseInt(parts[1], 10, 64)\n\t\t\t\t\tb, e2 := strconv.ParseInt(parts[2], 10, 64)\n\t\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\t\tstatEntry := map[string]any{\n\t\t\t\t\t\t\t\"field\": parts[0],\n\t\t\t\t\t\t\t\"from\":  a,\n\t\t\t\t\t\t\t\"to\":    b,\n\t\t\t\t\t\t}\n\t\t\t\t\t\tstatList = append(statList, statEntry)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\tfilterPresets[\"stats\"] = statList\n\t}\n\treturn filterPresets\n}\n\nfunc SetupRoutes(router chi.Router, buildInfo web.Build) {\n\tuserCfgRepo := repository.GetUserCfgRepo()\n\tfor _, route := range routes {\n\t\trouter.HandleFunc(route.Route, func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tconf, err := userCfgRepo.GetUIConfig(repository.GetUserFromContext(r.Context()))\n\t\t\tif err != nil {\n\t\t\t\thttp.Error(rw, err.Error(), http.StatusInternalServerError)\n\t\t\t\treturn\n\t\t\t}\n\n\t\t\ttitle := route.Title\n\t\t\tinfos := route.Setup(map[string]any{}, r)\n\t\t\tif id, ok := infos[\"id\"]; ok {\n\t\t\t\ttitle = strings.Replace(route.Title, \"<ID>\", id.(string), 1)\n\t\t\t\tif sid, ok := infos[\"sid\"]; ok { // 2nd ID element\n\t\t\t\t\ttitle = strings.Replace(title, \"<SID>\", sid.(string), 1)\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Get User -> What if NIL?\n\t\t\tuser := repository.GetUserFromContext(r.Context())\n\n\t\t\t// Get Roles\n\t\t\tavailableRoles, _ := schema.GetValidRolesMap(user)\n\n\t\t\tpage := web.Page{\n\t\t\t\tTitle:      title,\n\t\t\t\tUser:       *user,\n\t\t\t\tRoles:      availableRoles,\n\t\t\t\tBuild:      buildInfo,\n\t\t\t\tConfig:     conf,\n\t\t\t\tResampling: config.Keys.EnableResampling,\n\t\t\t\tInfos:      infos,\n\t\t\t}\n\n\t\t\tif route.Filter {\n\t\t\t\tpage.FilterPresets = buildFilterPresets(r.URL.Query())\n\t\t\t}\n\n\t\t\tweb.RenderTemplate(rw, route.Template, &page)\n\t\t})\n\t}\n}\n\nfunc HandleSearchBar(rw http.ResponseWriter, r *http.Request, buildInfo web.Build) {\n\tuser := repository.GetUserFromContext(r.Context())\n\tavailableRoles, _ := schema.GetValidRolesMap(user)\n\n\tif search := r.URL.Query().Get(\"searchId\"); search != \"\" {\n\t\trepo := repository.GetJobRepository()\n\t\tsplitSearch := strings.Split(search, \":\")\n\n\t\tif len(splitSearch) == 2 {\n\t\t\tswitch strings.Trim(splitSearch[0], \" \") {\n\t\t\tcase \"jobId\":\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?jobId=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n\t\t\tcase \"jobName\":\n\t\t\t\t// Add Last 30 Days to migitate timeouts\n\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 10)\n\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&jobName=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n\t\t\tcase \"projectId\":\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?projectMatch=eq&project=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n\t\t\tcase \"arrayJobId\":\n\t\t\t\t// Add Last 30 Days to migitate timeouts\n\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 10)\n\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&arrayJobId=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n\t\t\tcase \"username\":\n\t\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \"))+\"&startTime=last30d\", http.StatusFound)\n\t\t\t\t} else {\n\t\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Error\", MsgType: \"alert-danger\", Message: \"Missing Access Rights\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t\t\t\t}\n\t\t\tcase \"name\":\n\t\t\t\tusernames, _ := repo.FindColumnValues(user, strings.Trim(splitSearch[1], \" \"), \"user\", \"username\", \"name\")\n\t\t\t\tif len(usernames) != 0 {\n\t\t\t\t\tjoinedNames := strings.Join(usernames, \"&user=\")\n\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=\"+joinedNames+\"&startTime=last30d\", http.StatusFound)\n\t\t\t\t} else {\n\t\t\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=NoUserNameFound&startTime=last30d\", http.StatusPermanentRedirect)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Error\", MsgType: \"alert-danger\", Message: \"Missing Access Rights\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\tdefault:\n\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Warning\", MsgType: \"alert-warning\", Message: fmt.Sprintf(\"Unknown search type: %s\", strings.Trim(splitSearch[0], \" \")), User: *user, Roles: availableRoles, Build: buildInfo})\n\t\t\t}\n\t\t} else if len(splitSearch) == 1 {\n\n\t\t\tjobid, username, project, jobname := repo.FindUserOrProjectOrJobname(user, strings.Trim(search, \" \"))\n\n\t\t\tif jobid != \"\" {\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?jobId=\"+url.QueryEscape(jobid), http.StatusFound) // JobId (Match)\n\t\t\t} else if username != \"\" {\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/user/\"+username, http.StatusFound) // User: Redirect to user page of first match\n\t\t\t} else if project != \"\" {\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?projectMatch=eq&project=\"+url.QueryEscape(project), http.StatusFound) // projectId (equal)\n\t\t\t} else if jobname != \"\" {\n\t\t\t\t// Add Last 30 Days to migitate timeouts\n\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 10)\n\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&jobName=\"+url.QueryEscape(jobname), http.StatusFound) // 30D Fitler + JobName (contains)\n\t\t\t} else {\n\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Info\", MsgType: \"alert-info\", Message: \"Search without result\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t\t\t}\n\n\t\t} else {\n\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Error\", MsgType: \"alert-danger\", Message: \"Searchbar query parameters malformed\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t\t}\n\t} else {\n\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Warning\", MsgType: \"alert-warning\", Message: \"Empty search\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t}\n}\n","structuredPatch":[{"oldStart":493,"oldLines":13,"newStart":493,"newLines":15,"lines":["       // Get Roles","       availableRoles, _ := schema.GetValidRolesMap(user)"," ","+      resampling := resamplingForUser(conf)","+","       page := web.Page{","         Title:      title,","         User:       *user,","         Roles:      availableRoles,","         Build:      buildInfo,","         Config:     conf,","-        Resampling: config.Keys.EnableResampling,","+        Resampling: resampling,","         Infos:      infos,","       }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"aefd2f66-d48b-495d-9395-03435dc797a3","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
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+{"parentUuid":"522b8154-ffa5-461f-83b7-d05217e61bfb","isSidechain":false,"promptId":"0763b03c-10c2-419e-8e69-b6ee9bffed71","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FmCR4TnMP4ymEeUm8VD9Xh","type":"tool_result","content":"     7→import (\n     8→\t\"fmt\"\n     9→\t\"net/http\"\n    10→\t\"net/url\"\n    11→\t\"os\"\n    12→\t\"strconv\"\n    13→\t\"strings\"\n    14→\t\"time\"\n    15→\n    16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    17→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n    19→\t\"github.com/ClusterCockpit/cc-backend/web\"\n    20→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    21→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n    23→\t\"github.com/go-chi/chi/v5\"\n    24→)\n    25→\n    26→type InfoType map[string]any"}]},"uuid":"eaf2d9cf-7bf7-4e7d-b3d8-a6f816e13826","timestamp":"2026-03-20T04:27:01.361Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/internal/routerconfig/routes.go","content":"import (\n\t\"fmt\"\n\t\"net/http\"\n\t\"net/url\"\n\t\"os\"\n\t\"strconv\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/web\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t\"github.com/go-chi/chi/v5\"\n)\n\ntype InfoType map[string]any","numLines":20,"startLine":7,"totalLines":591}},"sourceToolAssistantUUID":"522b8154-ffa5-461f-83b7-d05217e61bfb","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
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+{"parentUuid":"547fc2e2-8aa7-4b38-bf3e-a3664dbf4b42","isSidechain":false,"promptId":"0763b03c-10c2-419e-8e69-b6ee9bffed71","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019KjVkAwaWV5BkKMuLQbCBi","type":"tool_result","content":"The file /Users/jan/tmp/cc-backend/internal/routerconfig/routes.go has been updated successfully."}]},"uuid":"691511c2-2321-4b6c-983b-1040a2c77304","timestamp":"2026-03-20T04:27:06.126Z","toolUseResult":{"filePath":"/Users/jan/tmp/cc-backend/internal/routerconfig/routes.go","oldString":"\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/web\"","newString":"\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/web\"","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage routerConfig\n\nimport (\n\t\"fmt\"\n\t\"net/http\"\n\t\"net/url\"\n\t\"os\"\n\t\"strconv\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/web\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t\"github.com/go-chi/chi/v5\"\n)\n\ntype InfoType map[string]any\n\ntype Route struct {\n\tRoute    string\n\tTemplate string\n\tTitle    string\n\tFilter   bool\n\tSetup    func(i InfoType, r *http.Request) InfoType\n}\n\nvar routes []Route = []Route{\n\t{\"/\", \"home.tmpl\", \"ClusterCockpit\", false, setupHomeRoute},\n\t{\"/config\", \"config.tmpl\", \"Settings\", false, setupConfigRoute},\n\t{\"/monitoring/jobs/\", \"monitoring/jobs.tmpl\", \"Jobs - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { return i }},\n\t{\"/monitoring/job/{id:[0-9]+}\", \"monitoring/job.tmpl\", \"Job <ID> - ClusterCockpit\", false, setupJobRoute},\n\t{\"/monitoring/users/\", \"monitoring/list.tmpl\", \"Users - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { i[\"listType\"] = \"USER\"; return i }},\n\t{\"/monitoring/projects/\", \"monitoring/list.tmpl\", \"Projects - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { i[\"listType\"] = \"PROJECT\"; return i }},\n\t{\"/monitoring/tags/\", \"monitoring/taglist.tmpl\", \"Tags - ClusterCockpit\", false, setupTaglistRoute},\n\t{\"/monitoring/user/{id}\", \"monitoring/user.tmpl\", \"User <ID> - ClusterCockpit\", true, setupUserRoute},\n\t{\"/monitoring/systems/{cluster}\", \"monitoring/systems.tmpl\", \"Cluster <ID> Node Overview - ClusterCockpit\", false, setupClusterOverviewRoute},\n\t{\"/monitoring/systems/list/{cluster}\", \"monitoring/systems.tmpl\", \"Cluster <ID> Node List - ClusterCockpit\", false, setupClusterListRoute},\n\t{\"/monitoring/systems/list/{cluster}/{subcluster}\", \"monitoring/systems.tmpl\", \"Cluster <ID> <SID> Node List - ClusterCockpit\", false, setupClusterListRoute},\n\t{\"/monitoring/node/{cluster}/{hostname}\", \"monitoring/node.tmpl\", \"Node <ID> - ClusterCockpit\", false, setupNodeRoute},\n\t{\"/monitoring/analysis/{cluster}\", \"monitoring/analysis.tmpl\", \"Analysis - ClusterCockpit\", true, setupAnalysisRoute},\n\t{\"/monitoring/status/{cluster}\", \"monitoring/status.tmpl\", \"<ID> Dashboard - ClusterCockpit\", false, setupClusterStatusRoute},\n\t{\"/monitoring/status/detail/{cluster}\", \"monitoring/status.tmpl\", \"Status of <ID> - ClusterCockpit\", false, setupClusterDetailRoute},\n\t{\"/monitoring/dashboard/{cluster}\", \"monitoring/dashboard.tmpl\", \"<ID> Dashboard - ClusterCockpit\", false, setupDashboardRoute},\n\t{\"/monitoring/logs\", \"monitoring/logs.tmpl\", \"Logs - ClusterCockpit\", false, func(i InfoType, r *http.Request) InfoType { return i }},\n}\n\nfunc setupHomeRoute(i InfoType, r *http.Request) InfoType {\n\tjobRepo := repository.GetJobRepository()\n\tgroupBy := model.AggregateCluster\n\n\t// startJobCount := time.Now()\n\tstats, err := jobRepo.JobCountGrouped(r.Context(), nil, &groupBy)\n\tif err != nil {\n\t\tcclog.Warnf(\"failed to count jobs: %s\", err.Error())\n\t}\n\t// cclog.Infof(\"Timer HOME ROUTE startJobCount: %s\", time.Since(startJobCount))\n\n\t// startRunningJobCount := time.Now()\n\tstats, err = jobRepo.AddJobCountGrouped(r.Context(), nil, &groupBy, stats, \"running\")\n\tif err != nil {\n\t\tcclog.Warnf(\"failed to count running jobs: %s\", err.Error())\n\t}\n\t// cclog.Infof(\"Timer HOME ROUTE startRunningJobCount: %s\", time.Since(startRunningJobCount))\n\n\ti[\"clusters\"] = stats\n\n\tif util.CheckFileExists(\"./var/notice.txt\") {\n\t\tmsg, err := os.ReadFile(\"./var/notice.txt\")\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"failed to read notice.txt file: %s\", err.Error())\n\t\t} else {\n\t\t\ti[\"message\"] = string(msg)\n\t\t}\n\t}\n\n\treturn i\n}\n\nfunc setupConfigRoute(i InfoType, r *http.Request) InfoType {\n\tif util.CheckFileExists(\"./var/notice.txt\") {\n\t\tmsg, err := os.ReadFile(\"./var/notice.txt\")\n\t\tif err == nil {\n\t\t\ti[\"ncontent\"] = string(msg)\n\t\t}\n\t}\n\n\treturn i\n}\n\nfunc setupJobRoute(i InfoType, r *http.Request) InfoType {\n\ti[\"id\"] = chi.URLParam(r, \"id\")\n\tif config.Keys.EmissionConstant != 0 {\n\t\ti[\"emission\"] = config.Keys.EmissionConstant\n\t}\n\treturn i\n}\n\nfunc setupUserRoute(i InfoType, r *http.Request) InfoType {\n\tusername := chi.URLParam(r, \"id\")\n\ti[\"id\"] = username\n\ti[\"username\"] = username\n\t// TODO: If forbidden (== err exists), redirect to error page\n\tif user, _ := repository.GetUserRepository().FetchUserInCtx(r.Context(), username); user != nil {\n\t\ti[\"name\"] = user.Name\n\t\ti[\"email\"] = user.Email\n\t}\n\treturn i\n}\n\nfunc setupClusterStatusRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\ti[\"id\"] = cluster\n\ti[\"cluster\"] = cluster\n\ti[\"displayType\"] = \"DASHBOARD\"\n\treturn i\n}\n\nfunc setupClusterDetailRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\ti[\"id\"] = cluster\n\ti[\"cluster\"] = cluster\n\ti[\"displayType\"] = \"DETAILS\"\n\treturn i\n}\n\nfunc setupDashboardRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\ti[\"id\"] = cluster\n\ti[\"cluster\"] = cluster\n\ti[\"displayType\"] = \"PUBLIC\" // Used in Main Template\n\treturn i\n}\n\nfunc setupClusterOverviewRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\ti[\"id\"] = cluster\n\ti[\"cluster\"] = cluster\n\ti[\"displayType\"] = \"OVERVIEW\"\n\n\tfrom, to := r.URL.Query().Get(\"from\"), r.URL.Query().Get(\"to\")\n\tif from != \"\" || to != \"\" {\n\t\ti[\"from\"] = from\n\t\ti[\"to\"] = to\n\t}\n\treturn i\n}\n\nfunc setupClusterListRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\tsubcluster := chi.URLParam(r, \"subcluster\")\n\ti[\"id\"] = cluster\n\ti[\"cluster\"] = cluster\n\ti[\"sid\"] = subcluster\n\ti[\"subCluster\"] = subcluster\n\ti[\"displayType\"] = \"LIST\"\n\n\tfrom, to := r.URL.Query().Get(\"from\"), r.URL.Query().Get(\"to\")\n\tif from != \"\" || to != \"\" {\n\t\ti[\"from\"] = from\n\t\ti[\"to\"] = to\n\t}\n\treturn i\n}\n\nfunc setupNodeRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\thostname := chi.URLParam(r, \"hostname\")\n\ti[\"cluster\"] = cluster\n\ti[\"hostname\"] = hostname\n\ti[\"id\"] = fmt.Sprintf(\"%s (%s)\", cluster, hostname)\n\tfrom, to := r.URL.Query().Get(\"from\"), r.URL.Query().Get(\"to\")\n\tif from != \"\" && to != \"\" {\n\t\ti[\"from\"] = from\n\t\ti[\"to\"] = to\n\t}\n\treturn i\n}\n\nfunc setupAnalysisRoute(i InfoType, r *http.Request) InfoType {\n\ti[\"cluster\"] = chi.URLParam(r, \"cluster\")\n\treturn i\n}\n\nfunc setupTaglistRoute(i InfoType, r *http.Request) InfoType {\n\tjobRepo := repository.GetJobRepository()\n\ttags, counts, err := jobRepo.CountTags(repository.GetUserFromContext(r.Context()))\n\ttagMap := make(map[string][]map[string]any)\n\tif err != nil {\n\t\tcclog.Warnf(\"GetTags failed: %s\", err.Error())\n\t\ti[\"tagmap\"] = tagMap\n\t\treturn i\n\t}\n\t// Reduces displayed tags for unauth'd users\n\tuserAuthlevel := repository.GetUserFromContext(r.Context()).GetAuthLevel()\n\t// Uses tag.ID as second Map-Key component to differentiate tags with identical names\n\tif userAuthlevel >= 4 { // Support+ : Show tags for all scopes, regardless of count\n\t\tfor _, tag := range tags {\n\t\t\ttagItem := map[string]any{\n\t\t\t\t\"id\":    tag.ID,\n\t\t\t\t\"name\":  tag.Name,\n\t\t\t\t\"scope\": tag.Scope,\n\t\t\t\t\"count\": counts[fmt.Sprint(tag.Type, tag.Name, tag.ID)],\n\t\t\t}\n\t\t\ttagMap[tag.Type] = append(tagMap[tag.Type], tagItem)\n\t\t}\n\t} else if userAuthlevel < 4 && userAuthlevel >= 2 { // User+ : Show global and admin scope only if at least 1 tag used, private scope regardless of count\n\t\tfor _, tag := range tags {\n\t\t\ttagCount := counts[fmt.Sprint(tag.Type, tag.Name, tag.ID)]\n\t\t\tif ((tag.Scope == \"global\" || tag.Scope == \"admin\") && tagCount >= 1) || (tag.Scope != \"global\" && tag.Scope != \"admin\") {\n\t\t\t\ttagItem := map[string]any{\n\t\t\t\t\t\"id\":    tag.ID,\n\t\t\t\t\t\"name\":  tag.Name,\n\t\t\t\t\t\"scope\": tag.Scope,\n\t\t\t\t\t\"count\": tagCount,\n\t\t\t\t}\n\t\t\t\ttagMap[tag.Type] = append(tagMap[tag.Type], tagItem)\n\t\t\t}\n\t\t}\n\t} // auth < 2 return nothing for this route\n\n\ti[\"tagmap\"] = tagMap\n\treturn i\n}\n\n// FIXME: Lots of redundant code. Needs refactoring\nfunc buildFilterPresets(query url.Values) map[string]any {\n\tfilterPresets := map[string]any{}\n\n\tif query.Get(\"cluster\") != \"\" {\n\t\tfilterPresets[\"cluster\"] = query.Get(\"cluster\")\n\t}\n\tif query.Get(\"partition\") != \"\" {\n\t\tfilterPresets[\"partition\"] = query.Get(\"partition\")\n\t}\n\tif query.Get(\"project\") != \"\" {\n\t\tfilterPresets[\"project\"] = query.Get(\"project\")\n\t\tfilterPresets[\"projectMatch\"] = \"eq\"\n\t}\n\tif query.Get(\"jobName\") != \"\" {\n\t\tfilterPresets[\"jobName\"] = query.Get(\"jobName\")\n\t}\n\tif len(query[\"user\"]) != 0 {\n\t\tif len(query[\"user\"]) == 1 {\n\t\t\tfilterPresets[\"user\"] = query.Get(\"user\")\n\t\t\tfilterPresets[\"userMatch\"] = \"contains\"\n\t\t} else {\n\t\t\tfilterPresets[\"user\"] = query[\"user\"]\n\t\t\tfilterPresets[\"userMatch\"] = \"in\"\n\t\t}\n\t}\n\tif len(query[\"state\"]) != 0 {\n\t\tfilterPresets[\"state\"] = query[\"state\"]\n\t}\n\tif query.Get(\"shared\") != \"\" {\n\t\tfilterPresets[\"shared\"] = query.Get(\"shared\")\n\t}\n\tif query.Get(\"schedule\") != \"\" {\n\t\tfilterPresets[\"schedule\"] = query.Get(\"schedule\")\n\t}\n\tif rawtags, ok := query[\"tag\"]; ok {\n\t\ttags := make([]int, len(rawtags))\n\t\tfor i, tid := range rawtags {\n\t\t\tvar err error\n\t\t\ttags[i], err = strconv.Atoi(tid)\n\t\t\tif err != nil {\n\t\t\t\ttags[i] = -1\n\t\t\t}\n\t\t}\n\t\tfilterPresets[\"tags\"] = tags\n\t}\n\tif query.Get(\"duration\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"duration\"), \"-\")\n\t\tif len(parts) == 2 {\n\t\t\tif parts[0] == \"lessthan\" {\n\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n\t\t\t\tif lte == nil {\n\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"lessThan\": lt, \"from\": 0, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else if parts[0] == \"morethan\" {\n\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n\t\t\t\tif mte == nil {\n\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"moreThan\": mt, \"from\": 0, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"from\": a, \"to\": b}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tif query.Get(\"node\") != \"\" {\n\t\tfilterPresets[\"node\"] = query.Get(\"node\")\n\t}\n\tif query.Get(\"numNodes\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"numNodes\"), \"-\")\n\t\tif len(parts) == 2 {\n\t\t\tif parts[0] == \"lessthan\" {\n\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n\t\t\t\tif lte == nil {\n\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": 1, \"to\": lt}\n\t\t\t\t}\n\t\t\t} else if parts[0] == \"morethan\" {\n\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n\t\t\t\tif mte == nil {\n\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": mt, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": a, \"to\": b}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tif query.Get(\"numHWThreads\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"numHWThreads\"), \"-\")\n\t\tif len(parts) == 2 {\n\t\t\tif parts[0] == \"lessthan\" {\n\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n\t\t\t\tif lte == nil {\n\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": 1, \"to\": lt}\n\t\t\t\t}\n\t\t\t} else if parts[0] == \"morethan\" {\n\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n\t\t\t\tif mte == nil {\n\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": mt, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": a, \"to\": b}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tif query.Get(\"numAccelerators\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"numAccelerators\"), \"-\")\n\t\tif len(parts) == 2 {\n\t\t\tif parts[0] == \"lessthan\" {\n\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n\t\t\t\tif lte == nil {\n\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": 1, \"to\": lt}\n\t\t\t\t}\n\t\t\t} else if parts[0] == \"morethan\" {\n\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n\t\t\t\tif mte == nil {\n\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": mt, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": a, \"to\": b}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tif len(query[\"dbId\"]) != 0 {\n\t\tfilterPresets[\"dbId\"] = query[\"dbId\"]\n\t}\n\tif query.Get(\"jobId\") != \"\" {\n\t\tif len(query[\"jobId\"]) == 1 {\n\t\t\tfilterPresets[\"jobId\"] = query.Get(\"jobId\")\n\t\t\tfilterPresets[\"jobIdMatch\"] = \"eq\"\n\t\t} else {\n\t\t\tfilterPresets[\"jobId\"] = query[\"jobId\"]\n\t\t\tfilterPresets[\"jobIdMatch\"] = \"in\"\n\t\t}\n\t}\n\tif query.Get(\"arrayJobId\") != \"\" {\n\t\tif num, err := strconv.Atoi(query.Get(\"arrayJobId\")); err == nil {\n\t\t\tfilterPresets[\"arrayJobId\"] = num\n\t\t}\n\t}\n\tif query.Get(\"startTime\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"startTime\"), \"-\")\n\t\tif len(parts) == 2 { // Time in seconds, from - to\n\t\t\ta, e1 := strconv.ParseInt(parts[0], 10, 64)\n\t\t\tb, e2 := strconv.ParseInt(parts[1], 10, 64)\n\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\tfilterPresets[\"startTime\"] = map[string]string{\n\t\t\t\t\t\"from\": time.Unix(a, 0).Format(time.RFC3339),\n\t\t\t\t\t\"to\":   time.Unix(b, 0).Format(time.RFC3339),\n\t\t\t\t}\n\t\t\t}\n\t\t} else { // named range\n\t\t\tfilterPresets[\"startTime\"] = map[string]string{\n\t\t\t\t\"range\": query.Get(\"startTime\"),\n\t\t\t}\n\t\t}\n\t}\n\tif query.Get(\"energy\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"energy\"), \"-\")\n\t\tif len(parts) == 2 {\n\t\t\tif parts[0] == \"lessthan\" {\n\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n\t\t\t\tif lte == nil {\n\t\t\t\t\tfilterPresets[\"energy\"] = map[string]int{\"from\": 1, \"to\": lt}\n\t\t\t\t}\n\t\t\t} else if parts[0] == \"morethan\" {\n\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n\t\t\t\tif mte == nil {\n\t\t\t\t\tfilterPresets[\"energy\"] = map[string]int{\"from\": mt, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\tfilterPresets[\"energy\"] = map[string]int{\"from\": a, \"to\": b}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tif len(query[\"stat\"]) != 0 {\n\t\tstatList := make([]map[string]any, 0)\n\t\tfor _, statEntry := range query[\"stat\"] {\n\t\t\tparts := strings.Split(statEntry, \"-\")\n\t\t\tif len(parts) == 3 { // Metric Footprint Stat Field, from - to\n\t\t\t\tif parts[1] == \"lessthan\" {\n\t\t\t\t\tlt, lte := strconv.ParseInt(parts[2], 10, 64)\n\t\t\t\t\tif lte == nil {\n\t\t\t\t\t\tstatEntry := map[string]any{\n\t\t\t\t\t\t\t\"field\": parts[0],\n\t\t\t\t\t\t\t\"from\":  1,\n\t\t\t\t\t\t\t\"to\":    lt,\n\t\t\t\t\t\t}\n\t\t\t\t\t\tstatList = append(statList, statEntry)\n\t\t\t\t\t}\n\t\t\t\t} else if parts[1] == \"morethan\" {\n\t\t\t\t\tmt, mte := strconv.ParseInt(parts[2], 10, 64)\n\t\t\t\t\tif mte == nil {\n\t\t\t\t\t\tstatEntry := map[string]any{\n\t\t\t\t\t\t\t\"field\": parts[0],\n\t\t\t\t\t\t\t\"from\":  mt,\n\t\t\t\t\t\t\t\"to\":    0,\n\t\t\t\t\t\t}\n\t\t\t\t\t\tstatList = append(statList, statEntry)\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\ta, e1 := strconv.ParseInt(parts[1], 10, 64)\n\t\t\t\t\tb, e2 := strconv.ParseInt(parts[2], 10, 64)\n\t\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\t\tstatEntry := map[string]any{\n\t\t\t\t\t\t\t\"field\": parts[0],\n\t\t\t\t\t\t\t\"from\":  a,\n\t\t\t\t\t\t\t\"to\":    b,\n\t\t\t\t\t\t}\n\t\t\t\t\t\tstatList = append(statList, statEntry)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\tfilterPresets[\"stats\"] = statList\n\t}\n\treturn filterPresets\n}\n\nfunc SetupRoutes(router chi.Router, buildInfo web.Build) {\n\tuserCfgRepo := repository.GetUserCfgRepo()\n\tfor _, route := range routes {\n\t\trouter.HandleFunc(route.Route, func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tconf, err := userCfgRepo.GetUIConfig(repository.GetUserFromContext(r.Context()))\n\t\t\tif err != nil {\n\t\t\t\thttp.Error(rw, err.Error(), http.StatusInternalServerError)\n\t\t\t\treturn\n\t\t\t}\n\n\t\t\ttitle := route.Title\n\t\t\tinfos := route.Setup(map[string]any{}, r)\n\t\t\tif id, ok := infos[\"id\"]; ok {\n\t\t\t\ttitle = strings.Replace(route.Title, \"<ID>\", id.(string), 1)\n\t\t\t\tif sid, ok := infos[\"sid\"]; ok { // 2nd ID element\n\t\t\t\t\ttitle = strings.Replace(title, \"<SID>\", sid.(string), 1)\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Get User -> What if NIL?\n\t\t\tuser := repository.GetUserFromContext(r.Context())\n\n\t\t\t// Get Roles\n\t\t\tavailableRoles, _ := schema.GetValidRolesMap(user)\n\n\t\t\tresampling := resamplingForUser(conf)\n\n\t\t\tpage := web.Page{\n\t\t\t\tTitle:      title,\n\t\t\t\tUser:       *user,\n\t\t\t\tRoles:      availableRoles,\n\t\t\t\tBuild:      buildInfo,\n\t\t\t\tConfig:     conf,\n\t\t\t\tResampling: resampling,\n\t\t\t\tInfos:      infos,\n\t\t\t}\n\n\t\t\tif route.Filter {\n\t\t\t\tpage.FilterPresets = buildFilterPresets(r.URL.Query())\n\t\t\t}\n\n\t\t\tweb.RenderTemplate(rw, route.Template, &page)\n\t\t})\n\t}\n}\n\nfunc HandleSearchBar(rw http.ResponseWriter, r *http.Request, buildInfo web.Build) {\n\tuser := repository.GetUserFromContext(r.Context())\n\tavailableRoles, _ := schema.GetValidRolesMap(user)\n\n\tif search := r.URL.Query().Get(\"searchId\"); search != \"\" {\n\t\trepo := repository.GetJobRepository()\n\t\tsplitSearch := strings.Split(search, \":\")\n\n\t\tif len(splitSearch) == 2 {\n\t\t\tswitch strings.Trim(splitSearch[0], \" \") {\n\t\t\tcase \"jobId\":\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?jobId=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n\t\t\tcase \"jobName\":\n\t\t\t\t// Add Last 30 Days to migitate timeouts\n\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 10)\n\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&jobName=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n\t\t\tcase \"projectId\":\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?projectMatch=eq&project=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n\t\t\tcase \"arrayJobId\":\n\t\t\t\t// Add Last 30 Days to migitate timeouts\n\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 10)\n\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&arrayJobId=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n\t\t\tcase \"username\":\n\t\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \"))+\"&startTime=last30d\", http.StatusFound)\n\t\t\t\t} else {\n\t\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Error\", MsgType: \"alert-danger\", Message: \"Missing Access Rights\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t\t\t\t}\n\t\t\tcase \"name\":\n\t\t\t\tusernames, _ := repo.FindColumnValues(user, strings.Trim(splitSearch[1], \" \"), \"user\", \"username\", \"name\")\n\t\t\t\tif len(usernames) != 0 {\n\t\t\t\t\tjoinedNames := strings.Join(usernames, \"&user=\")\n\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=\"+joinedNames+\"&startTime=last30d\", http.StatusFound)\n\t\t\t\t} else {\n\t\t\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=NoUserNameFound&startTime=last30d\", http.StatusPermanentRedirect)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Error\", MsgType: \"alert-danger\", Message: \"Missing Access Rights\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\tdefault:\n\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Warning\", MsgType: \"alert-warning\", Message: fmt.Sprintf(\"Unknown search type: %s\", strings.Trim(splitSearch[0], \" \")), User: *user, Roles: availableRoles, Build: buildInfo})\n\t\t\t}\n\t\t} else if len(splitSearch) == 1 {\n\n\t\t\tjobid, username, project, jobname := repo.FindUserOrProjectOrJobname(user, strings.Trim(search, \" \"))\n\n\t\t\tif jobid != \"\" {\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?jobId=\"+url.QueryEscape(jobid), http.StatusFound) // JobId (Match)\n\t\t\t} else if username != \"\" {\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/user/\"+username, http.StatusFound) // User: Redirect to user page of first match\n\t\t\t} else if project != \"\" {\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?projectMatch=eq&project=\"+url.QueryEscape(project), http.StatusFound) // projectId (equal)\n\t\t\t} else if jobname != \"\" {\n\t\t\t\t// Add Last 30 Days to migitate timeouts\n\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 10)\n\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&jobName=\"+url.QueryEscape(jobname), http.StatusFound) // 30D Fitler + JobName (contains)\n\t\t\t} else {\n\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Info\", MsgType: \"alert-info\", Message: \"Search without result\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t\t\t}\n\n\t\t} else {\n\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Error\", MsgType: \"alert-danger\", Message: \"Searchbar query parameters malformed\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t\t}\n\t} else {\n\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Warning\", MsgType: \"alert-warning\", Message: \"Empty search\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t}\n}\n","structuredPatch":[{"oldStart":15,"oldLines":6,"newStart":15,"newLines":7,"lines":[" ","   \"github.com/ClusterCockpit/cc-backend/internal/config\"","   \"github.com/ClusterCockpit/cc-backend/internal/graph/model\"","+  \"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"","   \"github.com/ClusterCockpit/cc-backend/internal/repository\"","   \"github.com/ClusterCockpit/cc-backend/web\"","   cclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\""]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"547fc2e2-8aa7-4b38-bf3e-a3664dbf4b42","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"691511c2-2321-4b6c-983b-1040a2c77304","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01BPPmNUd5LCrCFDzVSY2nqe","type":"message","role":"assistant","content":[{"type":"text","text":"Now add the `resamplingForUser` function. Let me find the end of the file to add it."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":356,"cache_read_input_tokens":56325,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":356},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDhWvsnvQmFoH149KJtd","type":"assistant","uuid":"db13ae2f-c210-40cd-b050-5e59de937b5c","timestamp":"2026-03-20T04:27:08.236Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"db13ae2f-c210-40cd-b050-5e59de937b5c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01BPPmNUd5LCrCFDzVSY2nqe","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VrVYzUnXPDUCgn2Ggf6cBu","name":"Read","input":{"file_path":"/Users/jan/tmp/cc-backend/internal/routerconfig/routes.go","offset":555,"limit":30},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":356,"cache_read_input_tokens":56325,"output_tokens":131,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":356,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDhWvsnvQmFoH149KJtd","type":"assistant","uuid":"9e90cfb7-5124-4366-8c1e-c3596a7e184d","timestamp":"2026-03-20T04:27:08.819Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"9e90cfb7-5124-4366-8c1e-c3596a7e184d","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01VrVYzUnXPDUCgn2Ggf6cBu","toolUseID":"toolu_01VrVYzUnXPDUCgn2Ggf6cBu","timestamp":"2026-03-20T04:27:08.852Z","uuid":"b6b21fa0-ac7c-4052-8234-8495aa57b6e1","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"9e90cfb7-5124-4366-8c1e-c3596a7e184d","isSidechain":false,"promptId":"0763b03c-10c2-419e-8e69-b6ee9bffed71","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VrVYzUnXPDUCgn2Ggf6cBu","type":"tool_result","content":"   555→\t\t\t\t} else {\n   556→\t\t\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n   557→\t\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=NoUserNameFound&startTime=last30d\", http.StatusPermanentRedirect)\n   558→\t\t\t\t\t} else {\n   559→\t\t\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Error\", MsgType: \"alert-danger\", Message: \"Missing Access Rights\", User: *user, Roles: availableRoles, Build: buildInfo})\n   560→\t\t\t\t\t}\n   561→\t\t\t\t}\n   562→\t\t\tdefault:\n   563→\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Warning\", MsgType: \"alert-warning\", Message: fmt.Sprintf(\"Unknown search type: %s\", strings.Trim(splitSearch[0], \" \")), User: *user, Roles: availableRoles, Build: buildInfo})\n   564→\t\t\t}\n   565→\t\t} else if len(splitSearch) == 1 {\n   566→\n   567→\t\t\tjobid, username, project, jobname := repo.FindUserOrProjectOrJobname(user, strings.Trim(search, \" \"))\n   568→\n   569→\t\t\tif jobid != \"\" {\n   570→\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?jobId=\"+url.QueryEscape(jobid), http.StatusFound) // JobId (Match)\n   571→\t\t\t} else if username != \"\" {\n   572→\t\t\t\thttp.Redirect(rw, r, \"/monitoring/user/\"+username, http.StatusFound) // User: Redirect to user page of first match\n   573→\t\t\t} else if project != \"\" {\n   574→\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?projectMatch=eq&project=\"+url.QueryEscape(project), http.StatusFound) // projectId (equal)\n   575→\t\t\t} else if jobname != \"\" {\n   576→\t\t\t\t// Add Last 30 Days to migitate timeouts\n   577→\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 10)\n   578→\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n   579→\n   580→\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&jobName=\"+url.QueryEscape(jobname), http.StatusFound) // 30D Fitler + JobName (contains)\n   581→\t\t\t} else {\n   582→\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Info\", MsgType: \"alert-info\", Message: \"Search without result\", User: *user, Roles: availableRoles, Build: buildInfo})\n   583→\t\t\t}\n   584→"}]},"uuid":"c78bfa67-f485-4c2b-b458-eb474bad03c5","timestamp":"2026-03-20T04:27:08.852Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/internal/routerconfig/routes.go","content":"\t\t\t\t} else {\n\t\t\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=NoUserNameFound&startTime=last30d\", http.StatusPermanentRedirect)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Error\", MsgType: \"alert-danger\", Message: \"Missing Access Rights\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\tdefault:\n\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Warning\", MsgType: \"alert-warning\", Message: fmt.Sprintf(\"Unknown search type: %s\", strings.Trim(splitSearch[0], \" \")), User: *user, Roles: availableRoles, Build: buildInfo})\n\t\t\t}\n\t\t} else if len(splitSearch) == 1 {\n\n\t\t\tjobid, username, project, jobname := repo.FindUserOrProjectOrJobname(user, strings.Trim(search, \" \"))\n\n\t\t\tif jobid != \"\" {\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?jobId=\"+url.QueryEscape(jobid), http.StatusFound) // JobId (Match)\n\t\t\t} else if username != \"\" {\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/user/\"+username, http.StatusFound) // User: Redirect to user page of first match\n\t\t\t} else if project != \"\" {\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?projectMatch=eq&project=\"+url.QueryEscape(project), http.StatusFound) // projectId (equal)\n\t\t\t} else if jobname != \"\" {\n\t\t\t\t// Add Last 30 Days to migitate timeouts\n\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 10)\n\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&jobName=\"+url.QueryEscape(jobname), http.StatusFound) // 30D Fitler + JobName (contains)\n\t\t\t} else {\n\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Info\", MsgType: \"alert-info\", Message: \"Search without result\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t\t\t}\n","numLines":30,"startLine":555,"totalLines":592}},"sourceToolAssistantUUID":"9e90cfb7-5124-4366-8c1e-c3596a7e184d","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
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+{"parentUuid":"55fe9ddf-6879-4ac4-9f09-6ded9100162d","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01QxHCVtCkTX2ij8qfp3BbF2","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01L122nNiRQf15B7tQKkKN2s","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/tmp/cc-backend/internal/routerconfig/routes.go","old_string":"\t} else {\n\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Warning\", MsgType: \"alert-warning\", Message: \"Empty search\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t}\n}","new_string":"\t} else {\n\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Warning\", MsgType: \"alert-warning\", Message: \"Empty search\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t}\n}\n\n// resamplingForUser returns a ResampleConfig that incorporates the user's\n// resample policy preference. If the user has a policy set, it creates a\n// policy-derived config with targetPoints and trigger. Otherwise falls back\n// to the global config.\nfunc resamplingForUser(conf map[string]any) *config.ResampleConfig {\n\tglobalCfg := config.Keys.EnableResampling\n\n\tpolicyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]\n\tif !ok {\n\t\treturn globalCfg\n\t}\n\tpolicyStr, ok := policyVal.(string)\n\tif !ok || policyStr == \"\" {\n\t\treturn globalCfg\n\t}\n\n\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n\tif targetPoints == 0 {\n\t\treturn globalCfg\n\t}\n\n\t// Build a policy-derived config: targetPoints + trigger, no resolutions array\n\treturn &config.ResampleConfig{\n\t\tTargetPoints: targetPoints,\n\t\tTrigger:      targetPoints / 4,\n\t}\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":285,"cache_read_input_tokens":57809,"output_tokens":542,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":285,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDhXYadowANN9XEPuTxG","type":"assistant","uuid":"8ddb4068-cdb3-454f-a1a2-41ba076a7626","timestamp":"2026-03-20T04:27:22.327Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
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+{"parentUuid":"8ddb4068-cdb3-454f-a1a2-41ba076a7626","isSidechain":false,"promptId":"0763b03c-10c2-419e-8e69-b6ee9bffed71","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01L122nNiRQf15B7tQKkKN2s","type":"tool_result","content":"The file /Users/jan/tmp/cc-backend/internal/routerconfig/routes.go has been updated successfully."}]},"uuid":"15431549-2d7a-4b70-a2e5-4c57a1e88622","timestamp":"2026-03-20T04:27:22.349Z","toolUseResult":{"filePath":"/Users/jan/tmp/cc-backend/internal/routerconfig/routes.go","oldString":"\t} else {\n\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Warning\", MsgType: \"alert-warning\", Message: \"Empty search\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t}\n}","newString":"\t} else {\n\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Warning\", MsgType: \"alert-warning\", Message: \"Empty search\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t}\n}\n\n// resamplingForUser returns a ResampleConfig that incorporates the user's\n// resample policy preference. If the user has a policy set, it creates a\n// policy-derived config with targetPoints and trigger. Otherwise falls back\n// to the global config.\nfunc resamplingForUser(conf map[string]any) *config.ResampleConfig {\n\tglobalCfg := config.Keys.EnableResampling\n\n\tpolicyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]\n\tif !ok {\n\t\treturn globalCfg\n\t}\n\tpolicyStr, ok := policyVal.(string)\n\tif !ok || policyStr == \"\" {\n\t\treturn globalCfg\n\t}\n\n\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n\tif targetPoints == 0 {\n\t\treturn globalCfg\n\t}\n\n\t// Build a policy-derived config: targetPoints + trigger, no resolutions array\n\treturn &config.ResampleConfig{\n\t\tTargetPoints: targetPoints,\n\t\tTrigger:      targetPoints / 4,\n\t}\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage routerConfig\n\nimport (\n\t\"fmt\"\n\t\"net/http\"\n\t\"net/url\"\n\t\"os\"\n\t\"strconv\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/web\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t\"github.com/go-chi/chi/v5\"\n)\n\ntype InfoType map[string]any\n\ntype Route struct {\n\tRoute    string\n\tTemplate string\n\tTitle    string\n\tFilter   bool\n\tSetup    func(i InfoType, r *http.Request) InfoType\n}\n\nvar routes []Route = []Route{\n\t{\"/\", \"home.tmpl\", \"ClusterCockpit\", false, setupHomeRoute},\n\t{\"/config\", \"config.tmpl\", \"Settings\", false, setupConfigRoute},\n\t{\"/monitoring/jobs/\", \"monitoring/jobs.tmpl\", \"Jobs - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { return i }},\n\t{\"/monitoring/job/{id:[0-9]+}\", \"monitoring/job.tmpl\", \"Job <ID> - ClusterCockpit\", false, setupJobRoute},\n\t{\"/monitoring/users/\", \"monitoring/list.tmpl\", \"Users - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { i[\"listType\"] = \"USER\"; return i }},\n\t{\"/monitoring/projects/\", \"monitoring/list.tmpl\", \"Projects - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { i[\"listType\"] = \"PROJECT\"; return i }},\n\t{\"/monitoring/tags/\", \"monitoring/taglist.tmpl\", \"Tags - ClusterCockpit\", false, setupTaglistRoute},\n\t{\"/monitoring/user/{id}\", \"monitoring/user.tmpl\", \"User <ID> - ClusterCockpit\", true, setupUserRoute},\n\t{\"/monitoring/systems/{cluster}\", \"monitoring/systems.tmpl\", \"Cluster <ID> Node Overview - ClusterCockpit\", false, setupClusterOverviewRoute},\n\t{\"/monitoring/systems/list/{cluster}\", \"monitoring/systems.tmpl\", \"Cluster <ID> Node List - ClusterCockpit\", false, setupClusterListRoute},\n\t{\"/monitoring/systems/list/{cluster}/{subcluster}\", \"monitoring/systems.tmpl\", \"Cluster <ID> <SID> Node List - ClusterCockpit\", false, setupClusterListRoute},\n\t{\"/monitoring/node/{cluster}/{hostname}\", \"monitoring/node.tmpl\", \"Node <ID> - ClusterCockpit\", false, setupNodeRoute},\n\t{\"/monitoring/analysis/{cluster}\", \"monitoring/analysis.tmpl\", \"Analysis - ClusterCockpit\", true, setupAnalysisRoute},\n\t{\"/monitoring/status/{cluster}\", \"monitoring/status.tmpl\", \"<ID> Dashboard - ClusterCockpit\", false, setupClusterStatusRoute},\n\t{\"/monitoring/status/detail/{cluster}\", \"monitoring/status.tmpl\", \"Status of <ID> - ClusterCockpit\", false, setupClusterDetailRoute},\n\t{\"/monitoring/dashboard/{cluster}\", \"monitoring/dashboard.tmpl\", \"<ID> Dashboard - ClusterCockpit\", false, setupDashboardRoute},\n\t{\"/monitoring/logs\", \"monitoring/logs.tmpl\", \"Logs - ClusterCockpit\", false, func(i InfoType, r *http.Request) InfoType { return i }},\n}\n\nfunc setupHomeRoute(i InfoType, r *http.Request) InfoType {\n\tjobRepo := repository.GetJobRepository()\n\tgroupBy := model.AggregateCluster\n\n\t// startJobCount := time.Now()\n\tstats, err := jobRepo.JobCountGrouped(r.Context(), nil, &groupBy)\n\tif err != nil {\n\t\tcclog.Warnf(\"failed to count jobs: %s\", err.Error())\n\t}\n\t// cclog.Infof(\"Timer HOME ROUTE startJobCount: %s\", time.Since(startJobCount))\n\n\t// startRunningJobCount := time.Now()\n\tstats, err = jobRepo.AddJobCountGrouped(r.Context(), nil, &groupBy, stats, \"running\")\n\tif err != nil {\n\t\tcclog.Warnf(\"failed to count running jobs: %s\", err.Error())\n\t}\n\t// cclog.Infof(\"Timer HOME ROUTE startRunningJobCount: %s\", time.Since(startRunningJobCount))\n\n\ti[\"clusters\"] = stats\n\n\tif util.CheckFileExists(\"./var/notice.txt\") {\n\t\tmsg, err := os.ReadFile(\"./var/notice.txt\")\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"failed to read notice.txt file: %s\", err.Error())\n\t\t} else {\n\t\t\ti[\"message\"] = string(msg)\n\t\t}\n\t}\n\n\treturn i\n}\n\nfunc setupConfigRoute(i InfoType, r *http.Request) InfoType {\n\tif util.CheckFileExists(\"./var/notice.txt\") {\n\t\tmsg, err := os.ReadFile(\"./var/notice.txt\")\n\t\tif err == nil {\n\t\t\ti[\"ncontent\"] = string(msg)\n\t\t}\n\t}\n\n\treturn i\n}\n\nfunc setupJobRoute(i InfoType, r *http.Request) InfoType {\n\ti[\"id\"] = chi.URLParam(r, \"id\")\n\tif config.Keys.EmissionConstant != 0 {\n\t\ti[\"emission\"] = config.Keys.EmissionConstant\n\t}\n\treturn i\n}\n\nfunc setupUserRoute(i InfoType, r *http.Request) InfoType {\n\tusername := chi.URLParam(r, \"id\")\n\ti[\"id\"] = username\n\ti[\"username\"] = username\n\t// TODO: If forbidden (== err exists), redirect to error page\n\tif user, _ := repository.GetUserRepository().FetchUserInCtx(r.Context(), username); user != nil {\n\t\ti[\"name\"] = user.Name\n\t\ti[\"email\"] = user.Email\n\t}\n\treturn i\n}\n\nfunc setupClusterStatusRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\ti[\"id\"] = cluster\n\ti[\"cluster\"] = cluster\n\ti[\"displayType\"] = \"DASHBOARD\"\n\treturn i\n}\n\nfunc setupClusterDetailRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\ti[\"id\"] = cluster\n\ti[\"cluster\"] = cluster\n\ti[\"displayType\"] = \"DETAILS\"\n\treturn i\n}\n\nfunc setupDashboardRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\ti[\"id\"] = cluster\n\ti[\"cluster\"] = cluster\n\ti[\"displayType\"] = \"PUBLIC\" // Used in Main Template\n\treturn i\n}\n\nfunc setupClusterOverviewRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\ti[\"id\"] = cluster\n\ti[\"cluster\"] = cluster\n\ti[\"displayType\"] = \"OVERVIEW\"\n\n\tfrom, to := r.URL.Query().Get(\"from\"), r.URL.Query().Get(\"to\")\n\tif from != \"\" || to != \"\" {\n\t\ti[\"from\"] = from\n\t\ti[\"to\"] = to\n\t}\n\treturn i\n}\n\nfunc setupClusterListRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\tsubcluster := chi.URLParam(r, \"subcluster\")\n\ti[\"id\"] = cluster\n\ti[\"cluster\"] = cluster\n\ti[\"sid\"] = subcluster\n\ti[\"subCluster\"] = subcluster\n\ti[\"displayType\"] = \"LIST\"\n\n\tfrom, to := r.URL.Query().Get(\"from\"), r.URL.Query().Get(\"to\")\n\tif from != \"\" || to != \"\" {\n\t\ti[\"from\"] = from\n\t\ti[\"to\"] = to\n\t}\n\treturn i\n}\n\nfunc setupNodeRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\thostname := chi.URLParam(r, \"hostname\")\n\ti[\"cluster\"] = cluster\n\ti[\"hostname\"] = hostname\n\ti[\"id\"] = fmt.Sprintf(\"%s (%s)\", cluster, hostname)\n\tfrom, to := r.URL.Query().Get(\"from\"), r.URL.Query().Get(\"to\")\n\tif from != \"\" && to != \"\" {\n\t\ti[\"from\"] = from\n\t\ti[\"to\"] = to\n\t}\n\treturn i\n}\n\nfunc setupAnalysisRoute(i InfoType, r *http.Request) InfoType {\n\ti[\"cluster\"] = chi.URLParam(r, \"cluster\")\n\treturn i\n}\n\nfunc setupTaglistRoute(i InfoType, r *http.Request) InfoType {\n\tjobRepo := repository.GetJobRepository()\n\ttags, counts, err := jobRepo.CountTags(repository.GetUserFromContext(r.Context()))\n\ttagMap := make(map[string][]map[string]any)\n\tif err != nil {\n\t\tcclog.Warnf(\"GetTags failed: %s\", err.Error())\n\t\ti[\"tagmap\"] = tagMap\n\t\treturn i\n\t}\n\t// Reduces displayed tags for unauth'd users\n\tuserAuthlevel := repository.GetUserFromContext(r.Context()).GetAuthLevel()\n\t// Uses tag.ID as second Map-Key component to differentiate tags with identical names\n\tif userAuthlevel >= 4 { // Support+ : Show tags for all scopes, regardless of count\n\t\tfor _, tag := range tags {\n\t\t\ttagItem := map[string]any{\n\t\t\t\t\"id\":    tag.ID,\n\t\t\t\t\"name\":  tag.Name,\n\t\t\t\t\"scope\": tag.Scope,\n\t\t\t\t\"count\": counts[fmt.Sprint(tag.Type, tag.Name, tag.ID)],\n\t\t\t}\n\t\t\ttagMap[tag.Type] = append(tagMap[tag.Type], tagItem)\n\t\t}\n\t} else if userAuthlevel < 4 && userAuthlevel >= 2 { // User+ : Show global and admin scope only if at least 1 tag used, private scope regardless of count\n\t\tfor _, tag := range tags {\n\t\t\ttagCount := counts[fmt.Sprint(tag.Type, tag.Name, tag.ID)]\n\t\t\tif ((tag.Scope == \"global\" || tag.Scope == \"admin\") && tagCount >= 1) || (tag.Scope != \"global\" && tag.Scope != \"admin\") {\n\t\t\t\ttagItem := map[string]any{\n\t\t\t\t\t\"id\":    tag.ID,\n\t\t\t\t\t\"name\":  tag.Name,\n\t\t\t\t\t\"scope\": tag.Scope,\n\t\t\t\t\t\"count\": tagCount,\n\t\t\t\t}\n\t\t\t\ttagMap[tag.Type] = append(tagMap[tag.Type], tagItem)\n\t\t\t}\n\t\t}\n\t} // auth < 2 return nothing for this route\n\n\ti[\"tagmap\"] = tagMap\n\treturn i\n}\n\n// FIXME: Lots of redundant code. Needs refactoring\nfunc buildFilterPresets(query url.Values) map[string]any {\n\tfilterPresets := map[string]any{}\n\n\tif query.Get(\"cluster\") != \"\" {\n\t\tfilterPresets[\"cluster\"] = query.Get(\"cluster\")\n\t}\n\tif query.Get(\"partition\") != \"\" {\n\t\tfilterPresets[\"partition\"] = query.Get(\"partition\")\n\t}\n\tif query.Get(\"project\") != \"\" {\n\t\tfilterPresets[\"project\"] = query.Get(\"project\")\n\t\tfilterPresets[\"projectMatch\"] = \"eq\"\n\t}\n\tif query.Get(\"jobName\") != \"\" {\n\t\tfilterPresets[\"jobName\"] = query.Get(\"jobName\")\n\t}\n\tif len(query[\"user\"]) != 0 {\n\t\tif len(query[\"user\"]) == 1 {\n\t\t\tfilterPresets[\"user\"] = query.Get(\"user\")\n\t\t\tfilterPresets[\"userMatch\"] = \"contains\"\n\t\t} else {\n\t\t\tfilterPresets[\"user\"] = query[\"user\"]\n\t\t\tfilterPresets[\"userMatch\"] = \"in\"\n\t\t}\n\t}\n\tif len(query[\"state\"]) != 0 {\n\t\tfilterPresets[\"state\"] = query[\"state\"]\n\t}\n\tif query.Get(\"shared\") != \"\" {\n\t\tfilterPresets[\"shared\"] = query.Get(\"shared\")\n\t}\n\tif query.Get(\"schedule\") != \"\" {\n\t\tfilterPresets[\"schedule\"] = query.Get(\"schedule\")\n\t}\n\tif rawtags, ok := query[\"tag\"]; ok {\n\t\ttags := make([]int, len(rawtags))\n\t\tfor i, tid := range rawtags {\n\t\t\tvar err error\n\t\t\ttags[i], err = strconv.Atoi(tid)\n\t\t\tif err != nil {\n\t\t\t\ttags[i] = -1\n\t\t\t}\n\t\t}\n\t\tfilterPresets[\"tags\"] = tags\n\t}\n\tif query.Get(\"duration\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"duration\"), \"-\")\n\t\tif len(parts) == 2 {\n\t\t\tif parts[0] == \"lessthan\" {\n\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n\t\t\t\tif lte == nil {\n\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"lessThan\": lt, \"from\": 0, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else if parts[0] == \"morethan\" {\n\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n\t\t\t\tif mte == nil {\n\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"moreThan\": mt, \"from\": 0, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"from\": a, \"to\": b}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tif query.Get(\"node\") != \"\" {\n\t\tfilterPresets[\"node\"] = query.Get(\"node\")\n\t}\n\tif query.Get(\"numNodes\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"numNodes\"), \"-\")\n\t\tif len(parts) == 2 {\n\t\t\tif parts[0] == \"lessthan\" {\n\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n\t\t\t\tif lte == nil {\n\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": 1, \"to\": lt}\n\t\t\t\t}\n\t\t\t} else if parts[0] == \"morethan\" {\n\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n\t\t\t\tif mte == nil {\n\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": mt, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": a, \"to\": b}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tif query.Get(\"numHWThreads\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"numHWThreads\"), \"-\")\n\t\tif len(parts) == 2 {\n\t\t\tif parts[0] == \"lessthan\" {\n\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n\t\t\t\tif lte == nil {\n\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": 1, \"to\": lt}\n\t\t\t\t}\n\t\t\t} else if parts[0] == \"morethan\" {\n\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n\t\t\t\tif mte == nil {\n\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": mt, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": a, \"to\": b}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tif query.Get(\"numAccelerators\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"numAccelerators\"), \"-\")\n\t\tif len(parts) == 2 {\n\t\t\tif parts[0] == \"lessthan\" {\n\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n\t\t\t\tif lte == nil {\n\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": 1, \"to\": lt}\n\t\t\t\t}\n\t\t\t} else if parts[0] == \"morethan\" {\n\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n\t\t\t\tif mte == nil {\n\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": mt, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": a, \"to\": b}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tif len(query[\"dbId\"]) != 0 {\n\t\tfilterPresets[\"dbId\"] = query[\"dbId\"]\n\t}\n\tif query.Get(\"jobId\") != \"\" {\n\t\tif len(query[\"jobId\"]) == 1 {\n\t\t\tfilterPresets[\"jobId\"] = query.Get(\"jobId\")\n\t\t\tfilterPresets[\"jobIdMatch\"] = \"eq\"\n\t\t} else {\n\t\t\tfilterPresets[\"jobId\"] = query[\"jobId\"]\n\t\t\tfilterPresets[\"jobIdMatch\"] = \"in\"\n\t\t}\n\t}\n\tif query.Get(\"arrayJobId\") != \"\" {\n\t\tif num, err := strconv.Atoi(query.Get(\"arrayJobId\")); err == nil {\n\t\t\tfilterPresets[\"arrayJobId\"] = num\n\t\t}\n\t}\n\tif query.Get(\"startTime\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"startTime\"), \"-\")\n\t\tif len(parts) == 2 { // Time in seconds, from - to\n\t\t\ta, e1 := strconv.ParseInt(parts[0], 10, 64)\n\t\t\tb, e2 := strconv.ParseInt(parts[1], 10, 64)\n\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\tfilterPresets[\"startTime\"] = map[string]string{\n\t\t\t\t\t\"from\": time.Unix(a, 0).Format(time.RFC3339),\n\t\t\t\t\t\"to\":   time.Unix(b, 0).Format(time.RFC3339),\n\t\t\t\t}\n\t\t\t}\n\t\t} else { // named range\n\t\t\tfilterPresets[\"startTime\"] = map[string]string{\n\t\t\t\t\"range\": query.Get(\"startTime\"),\n\t\t\t}\n\t\t}\n\t}\n\tif query.Get(\"energy\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"energy\"), \"-\")\n\t\tif len(parts) == 2 {\n\t\t\tif parts[0] == \"lessthan\" {\n\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n\t\t\t\tif lte == nil {\n\t\t\t\t\tfilterPresets[\"energy\"] = map[string]int{\"from\": 1, \"to\": lt}\n\t\t\t\t}\n\t\t\t} else if parts[0] == \"morethan\" {\n\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n\t\t\t\tif mte == nil {\n\t\t\t\t\tfilterPresets[\"energy\"] = map[string]int{\"from\": mt, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\tfilterPresets[\"energy\"] = map[string]int{\"from\": a, \"to\": b}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tif len(query[\"stat\"]) != 0 {\n\t\tstatList := make([]map[string]any, 0)\n\t\tfor _, statEntry := range query[\"stat\"] {\n\t\t\tparts := strings.Split(statEntry, \"-\")\n\t\t\tif len(parts) == 3 { // Metric Footprint Stat Field, from - to\n\t\t\t\tif parts[1] == \"lessthan\" {\n\t\t\t\t\tlt, lte := strconv.ParseInt(parts[2], 10, 64)\n\t\t\t\t\tif lte == nil {\n\t\t\t\t\t\tstatEntry := map[string]any{\n\t\t\t\t\t\t\t\"field\": parts[0],\n\t\t\t\t\t\t\t\"from\":  1,\n\t\t\t\t\t\t\t\"to\":    lt,\n\t\t\t\t\t\t}\n\t\t\t\t\t\tstatList = append(statList, statEntry)\n\t\t\t\t\t}\n\t\t\t\t} else if parts[1] == \"morethan\" {\n\t\t\t\t\tmt, mte := strconv.ParseInt(parts[2], 10, 64)\n\t\t\t\t\tif mte == nil {\n\t\t\t\t\t\tstatEntry := map[string]any{\n\t\t\t\t\t\t\t\"field\": parts[0],\n\t\t\t\t\t\t\t\"from\":  mt,\n\t\t\t\t\t\t\t\"to\":    0,\n\t\t\t\t\t\t}\n\t\t\t\t\t\tstatList = append(statList, statEntry)\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\ta, e1 := strconv.ParseInt(parts[1], 10, 64)\n\t\t\t\t\tb, e2 := strconv.ParseInt(parts[2], 10, 64)\n\t\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\t\tstatEntry := map[string]any{\n\t\t\t\t\t\t\t\"field\": parts[0],\n\t\t\t\t\t\t\t\"from\":  a,\n\t\t\t\t\t\t\t\"to\":    b,\n\t\t\t\t\t\t}\n\t\t\t\t\t\tstatList = append(statList, statEntry)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\tfilterPresets[\"stats\"] = statList\n\t}\n\treturn filterPresets\n}\n\nfunc SetupRoutes(router chi.Router, buildInfo web.Build) {\n\tuserCfgRepo := repository.GetUserCfgRepo()\n\tfor _, route := range routes {\n\t\trouter.HandleFunc(route.Route, func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tconf, err := userCfgRepo.GetUIConfig(repository.GetUserFromContext(r.Context()))\n\t\t\tif err != nil {\n\t\t\t\thttp.Error(rw, err.Error(), http.StatusInternalServerError)\n\t\t\t\treturn\n\t\t\t}\n\n\t\t\ttitle := route.Title\n\t\t\tinfos := route.Setup(map[string]any{}, r)\n\t\t\tif id, ok := infos[\"id\"]; ok {\n\t\t\t\ttitle = strings.Replace(route.Title, \"<ID>\", id.(string), 1)\n\t\t\t\tif sid, ok := infos[\"sid\"]; ok { // 2nd ID element\n\t\t\t\t\ttitle = strings.Replace(title, \"<SID>\", sid.(string), 1)\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Get User -> What if NIL?\n\t\t\tuser := repository.GetUserFromContext(r.Context())\n\n\t\t\t// Get Roles\n\t\t\tavailableRoles, _ := schema.GetValidRolesMap(user)\n\n\t\t\tresampling := resamplingForUser(conf)\n\n\t\t\tpage := web.Page{\n\t\t\t\tTitle:      title,\n\t\t\t\tUser:       *user,\n\t\t\t\tRoles:      availableRoles,\n\t\t\t\tBuild:      buildInfo,\n\t\t\t\tConfig:     conf,\n\t\t\t\tResampling: resampling,\n\t\t\t\tInfos:      infos,\n\t\t\t}\n\n\t\t\tif route.Filter {\n\t\t\t\tpage.FilterPresets = buildFilterPresets(r.URL.Query())\n\t\t\t}\n\n\t\t\tweb.RenderTemplate(rw, route.Template, &page)\n\t\t})\n\t}\n}\n\nfunc HandleSearchBar(rw http.ResponseWriter, r *http.Request, buildInfo web.Build) {\n\tuser := repository.GetUserFromContext(r.Context())\n\tavailableRoles, _ := schema.GetValidRolesMap(user)\n\n\tif search := r.URL.Query().Get(\"searchId\"); search != \"\" {\n\t\trepo := repository.GetJobRepository()\n\t\tsplitSearch := strings.Split(search, \":\")\n\n\t\tif len(splitSearch) == 2 {\n\t\t\tswitch strings.Trim(splitSearch[0], \" \") {\n\t\t\tcase \"jobId\":\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?jobId=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n\t\t\tcase \"jobName\":\n\t\t\t\t// Add Last 30 Days to migitate timeouts\n\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 10)\n\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&jobName=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n\t\t\tcase \"projectId\":\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?projectMatch=eq&project=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n\t\t\tcase \"arrayJobId\":\n\t\t\t\t// Add Last 30 Days to migitate timeouts\n\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 10)\n\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&arrayJobId=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n\t\t\tcase \"username\":\n\t\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \"))+\"&startTime=last30d\", http.StatusFound)\n\t\t\t\t} else {\n\t\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Error\", MsgType: \"alert-danger\", Message: \"Missing Access Rights\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t\t\t\t}\n\t\t\tcase \"name\":\n\t\t\t\tusernames, _ := repo.FindColumnValues(user, strings.Trim(splitSearch[1], \" \"), \"user\", \"username\", \"name\")\n\t\t\t\tif len(usernames) != 0 {\n\t\t\t\t\tjoinedNames := strings.Join(usernames, \"&user=\")\n\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=\"+joinedNames+\"&startTime=last30d\", http.StatusFound)\n\t\t\t\t} else {\n\t\t\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=NoUserNameFound&startTime=last30d\", http.StatusPermanentRedirect)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Error\", MsgType: \"alert-danger\", Message: \"Missing Access Rights\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\tdefault:\n\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Warning\", MsgType: \"alert-warning\", Message: fmt.Sprintf(\"Unknown search type: %s\", strings.Trim(splitSearch[0], \" \")), User: *user, Roles: availableRoles, Build: buildInfo})\n\t\t\t}\n\t\t} else if len(splitSearch) == 1 {\n\n\t\t\tjobid, username, project, jobname := repo.FindUserOrProjectOrJobname(user, strings.Trim(search, \" \"))\n\n\t\t\tif jobid != \"\" {\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?jobId=\"+url.QueryEscape(jobid), http.StatusFound) // JobId (Match)\n\t\t\t} else if username != \"\" {\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/user/\"+username, http.StatusFound) // User: Redirect to user page of first match\n\t\t\t} else if project != \"\" {\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?projectMatch=eq&project=\"+url.QueryEscape(project), http.StatusFound) // projectId (equal)\n\t\t\t} else if jobname != \"\" {\n\t\t\t\t// Add Last 30 Days to migitate timeouts\n\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 10)\n\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&jobName=\"+url.QueryEscape(jobname), http.StatusFound) // 30D Fitler + JobName (contains)\n\t\t\t} else {\n\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Info\", MsgType: \"alert-info\", Message: \"Search without result\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t\t\t}\n\n\t\t} else {\n\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Error\", MsgType: \"alert-danger\", Message: \"Searchbar query parameters malformed\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t\t}\n\t} else {\n\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Warning\", MsgType: \"alert-warning\", Message: \"Empty search\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t}\n}\n","structuredPatch":[{"oldStart":589,"oldLines":3,"newStart":589,"newLines":32,"lines":["     web.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Warning\", MsgType: \"alert-warning\", Message: \"Empty search\", User: *user, Roles: availableRoles, Build: buildInfo})","   }"," }","+","+// resamplingForUser returns a ResampleConfig that incorporates the user's","+// resample policy preference. If the user has a policy set, it creates a","+// policy-derived config with targetPoints and trigger. Otherwise falls back","+// to the global config.","+func resamplingForUser(conf map[string]any) *config.ResampleConfig {","+  globalCfg := config.Keys.EnableResampling","+","+  policyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]","+  if !ok {","+    return globalCfg","+  }","+  policyStr, ok := policyVal.(string)","+  if !ok || policyStr == \"\" {","+    return globalCfg","+  }","+","+  policy := metricdispatch.ResamplePolicy(policyStr)","+  targetPoints := metricdispatch.TargetPointsForPolicy(policy)","+  if targetPoints == 0 {","+    return globalCfg","+  }","+","+  // Build a policy-derived config: targetPoints + trigger, no resolutions array","+  return &config.ResampleConfig{","+    TargetPoints: targetPoints,","+    Trigger:      targetPoints / 4,","+  }","+}"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"8ddb4068-cdb3-454f-a1a2-41ba076a7626","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"15431549-2d7a-4b70-a2e5-4c57a1e88622","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01RbFHJpYP26uWo1rLYHfVxZ","type":"message","role":"assistant","content":[{"type":"text","text":"Now update the frontend settings UI — add the two new settings cards to `PlotRenderOptions.svelte`."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":691,"cache_read_input_tokens":58094,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":691},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDhY8Q7gazTPHfgf1Bp5","type":"assistant","uuid":"da863445-3497-4018-b247-6e95af669b8a","timestamp":"2026-03-20T04:27:26.621Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"da863445-3497-4018-b247-6e95af669b8a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01RbFHJpYP26uWo1rLYHfVxZ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TLqUri8vCuHkGg8scCHvxw","name":"Read","input":{"file_path":"/Users/jan/tmp/cc-backend/web/frontend/src/config/user/PlotRenderOptions.svelte"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":691,"cache_read_input_tokens":58094,"output_tokens":106,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":691,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDhY8Q7gazTPHfgf1Bp5","type":"assistant","uuid":"5907fa77-481b-4366-a222-cdff8808b121","timestamp":"2026-03-20T04:27:27.034Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"5907fa77-481b-4366-a222-cdff8808b121","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01TLqUri8vCuHkGg8scCHvxw","toolUseID":"toolu_01TLqUri8vCuHkGg8scCHvxw","timestamp":"2026-03-20T04:27:27.062Z","uuid":"b1ada998-2808-4dbe-9c8f-6020f02913b2","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"5907fa77-481b-4366-a222-cdff8808b121","isSidechain":false,"promptId":"0763b03c-10c2-419e-8e69-b6ee9bffed71","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TLqUri8vCuHkGg8scCHvxw","type":"tool_result","content":"     1→<!--\n     2→  @component Plot render option selection for users\n     3→\n     4→  Properties:\n     5→  - `config Object`: Current cc-config\n     6→  - `message Object`: Message to display on success or error [Bindable]\n     7→  - `displayMessage Bool`: If to display message content [Bindable]\n     8→  - `updateSetting Func`: The callback function to apply current option selection\n     9→-->\n    10→\n    11→<script>\n    12→  import {\n    13→    Button,\n    14→    Row,\n    15→    Col,\n    16→    Card,\n    17→    CardTitle,\n    18→  } from \"@sveltestrap/sveltestrap\";\n    19→  import { fade } from \"svelte/transition\";\n    20→\n    21→  /* Svelte 5 Props */\n    22→  let {\n    23→    config,\n    24→    message = $bindable(),\n    25→    displayMessage = $bindable(),\n    26→    updateSetting\n    27→  } = $props();\n    28→</script>\n    29→\n    30→<Row cols={3} class=\"p-2 g-2\">\n    31→  <!-- LINE WIDTH -->\n    32→  <Col>\n    33→    <Card class=\"h-100\">\n    34→      <form\n    35→        id=\"line-width-form\"\n    36→        method=\"post\"\n    37→        action=\"/frontend/configuration/\"\n    38→        class=\"card-body\"\n    39→        onsubmit={(e) => updateSetting(e, {\n    40→          selector: \"#line-width-form\",\n    41→          target: \"lw\",\n    42→        })}\n    43→      >\n    44→        <!-- Svelte 'class' directive only on DOMs directly, normal 'class=\"xxx\"' does not work, so style-array it is. -->\n    45→        <CardTitle\n    46→          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n    47→        >\n    48→          <div>Line Width</div>\n    49→          <!-- Expand If-Clause for clarity once -->\n    50→          {#if displayMessage && message.target == \"lw\"}\n    51→            <div style=\"margin-left: auto; font-size: 0.9em;\">\n    52→              <code style=\"color: {message.color};\" out:fade>\n    53→                Update: {message.msg}\n    54→              </code>\n    55→            </div>\n    56→          {/if}\n    57→        </CardTitle>\n    58→        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_lineWidth\" />\n    59→        <div class=\"mb-3\">\n    60→          <label for=\"value\" class=\"form-label\">Line Width</label>\n    61→          <input\n    62→            type=\"number\"\n    63→            class=\"form-control\"\n    64→            id=\"lwvalue\"\n    65→            name=\"value\"\n    66→            aria-describedby=\"lineWidthHelp\"\n    67→            value={config.plotConfiguration_lineWidth}\n    68→            min=\"1\"\n    69→          />\n    70→          <div id=\"lineWidthHelp\" class=\"form-text\">\n    71→            Width of the lines in the timeseries plots.\n    72→          </div>\n    73→        </div>\n    74→        <Button color=\"primary\" type=\"submit\">Submit</Button>\n    75→      </form>\n    76→    </Card>\n    77→  </Col>\n    78→\n    79→  <!-- PLOTS PER ROW -->\n    80→  <Col>\n    81→    <Card class=\"h-100\">\n    82→      <form\n    83→        id=\"plots-per-row-form\"\n    84→        method=\"post\"\n    85→        action=\"/frontend/configuration/\"\n    86→        class=\"card-body\"\n    87→        onsubmit={(e) => updateSetting(e, {\n    88→          selector: \"#plots-per-row-form\",\n    89→          target: \"ppr\",\n    90→        })}\n    91→      >\n    92→        <!-- Svelte 'class' directive only on DOMs directly, normal 'class=\"xxx\"' does not work, so style-array it is. -->\n    93→        <CardTitle\n    94→          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n    95→        >\n    96→          <div>Plots per Row</div>\n    97→          {#if displayMessage && message.target == \"ppr\"}\n    98→            <div style=\"margin-left: auto; font-size: 0.9em;\">\n    99→              <code style=\"color: {message.color};\" out:fade>\n   100→                Update: {message.msg}\n   101→              </code>\n   102→            </div>\n   103→          {/if}\n   104→        </CardTitle>\n   105→        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_plotsPerRow\" />\n   106→        <div class=\"mb-3\">\n   107→          <label for=\"value\" class=\"form-label\">Plots per Row</label>\n   108→          <input\n   109→            type=\"number\"\n   110→            class=\"form-control\"\n   111→            id=\"pprvalue\"\n   112→            name=\"value\"\n   113→            aria-describedby=\"plotsperrowHelp\"\n   114→            value={config.plotConfiguration_plotsPerRow}\n   115→            min=\"1\"\n   116→          />\n   117→          <div id=\"plotsperrowHelp\" class=\"form-text\">\n   118→            How many plots to show next to each other on pages such as\n   119→            /monitoring/job/, /monitoring/system/...\n   120→          </div>\n   121→        </div>\n   122→        <Button color=\"primary\" type=\"submit\">Submit</Button>\n   123→      </form>\n   124→    </Card>\n   125→  </Col>\n   126→\n   127→  <!-- BACKGROUND -->\n   128→  <Col class=\"d-flex justify-content-between\">\n   129→    <Card class=\"h-100\" style=\"width: 49%;\">\n   130→      <form\n   131→        id=\"backgrounds-form\"\n   132→        method=\"post\"\n   133→        action=\"/frontend/configuration/\"\n   134→        class=\"card-body\"\n   135→        onsubmit={(e) => updateSetting(e, {\n   136→          selector: \"#backgrounds-form\",\n   137→          target: \"bg\",\n   138→        })}\n   139→      >\n   140→        <!-- Svelte 'class' directive only on DOMs directly, normal 'class=\"xxx\"' does not work, so style-array it is. -->\n   141→        <CardTitle\n   142→          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n   143→        >\n   144→          <div>Colored Backgrounds</div>\n   145→          {#if displayMessage && message.target == \"bg\"}\n   146→            <div style=\"margin-left: auto; font-size: 0.9em;\">\n   147→              <code style=\"color: {message.color};\" out:fade>\n   148→                Update: {message.msg}\n   149→              </code>\n   150→            </div>\n   151→          {/if}\n   152→        </CardTitle>\n   153→        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_colorBackground\" />\n   154→        <div class=\"mb-3\">\n   155→          <div>\n   156→            {#if config.plotConfiguration_colorBackground}\n   157→              <input type=\"radio\" id=\"colb-true-checked\" name=\"value\" value=\"true\" checked />\n   158→            {:else}\n   159→              <input type=\"radio\" id=\"colb-true\" name=\"value\" value=\"true\" />\n   160→            {/if}\n   161→            <label for=\"true\">Yes</label>\n   162→          </div>\n   163→          <div>\n   164→            {#if config.plotConfiguration_colorBackground}\n   165→              <input type=\"radio\" id=\"colb-false\" name=\"value\" value=\"false\" />\n   166→            {:else}\n   167→              <input type=\"radio\" id=\"colb-false-checked\" name=\"value\" value=\"false\" checked />\n   168→            {/if}\n   169→            <label for=\"false\">No</label>\n   170→          </div>\n   171→        </div>\n   172→        <Button color=\"primary\" type=\"submit\">Submit</Button>\n   173→      </form>\n   174→    </Card>\n   175→    <Card class=\"h-100\" style=\"width: 49%;\">\n   176→      <form\n   177→        id=\"colorblindmode-form\"\n   178→        method=\"post\"\n   179→        action=\"/frontend/configuration/\"\n   180→        class=\"card-body\"\n   181→        onsubmit={(e) => updateSetting(e, {\n   182→          selector: \"#colorblindmode-form\",\n   183→          target: \"cbm\",\n   184→        })}\n   185→      >\n   186→        <!-- Svelte 'class' directive only on DOMs directly, normal 'class=\"xxx\"' does not work, so style-array it is. -->\n   187→        <CardTitle\n   188→          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n   189→        >\n   190→          <div>Color Blind Mode</div>\n   191→          {#if displayMessage && message.target == \"cbm\"}\n   192→            <div style=\"margin-left: auto; font-size: 0.9em;\">\n   193→              <code style=\"color: {message.color};\" out:fade>\n   194→                Update: {message.msg}\n   195→              </code>\n   196→            </div>\n   197→          {/if}\n   198→        </CardTitle>\n   199→        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_colorblindMode\" />\n   200→        <div class=\"mb-3\">\n   201→          <div>\n   202→            {#if config?.plotConfiguration_colorblindMode}\n   203→              <input type=\"radio\" id=\"cbm-true-checked\" name=\"value\" value=\"true\" checked />\n   204→            {:else}\n   205→              <input type=\"radio\" id=\"cbm-true\" name=\"value\" value=\"true\" />\n   206→            {/if}\n   207→            <label for=\"true\">Yes</label>\n   208→          </div>\n   209→          <div>\n   210→            {#if config?.plotConfiguration_colorblindMode}\n   211→              <input type=\"radio\" id=\"cbm-false\" name=\"value\" value=\"false\" />\n   212→            {:else}\n   213→              <input type=\"radio\" id=\"cbm-false-checked\" name=\"value\" value=\"false\" checked />\n   214→            {/if}\n   215→            <label for=\"false\">No</label>\n   216→          </div>\n   217→        </div>\n   218→        <Button color=\"primary\" type=\"submit\">Submit</Button>\n   219→      </form>\n   220→    </Card>\n   221→  </Col>\n   222→</Row>"}]},"uuid":"a669b12b-7c3c-4f5a-8f66-79f11ca97ada","timestamp":"2026-03-20T04:27:27.062Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/web/frontend/src/config/user/PlotRenderOptions.svelte","content":"<!--\n  @component Plot render option selection for users\n\n  Properties:\n  - `config Object`: Current cc-config\n  - `message Object`: Message to display on success or error [Bindable]\n  - `displayMessage Bool`: If to display message content [Bindable]\n  - `updateSetting Func`: The callback function to apply current option selection\n-->\n\n<script>\n  import {\n    Button,\n    Row,\n    Col,\n    Card,\n    CardTitle,\n  } from \"@sveltestrap/sveltestrap\";\n  import { fade } from \"svelte/transition\";\n\n  /* Svelte 5 Props */\n  let {\n    config,\n    message = $bindable(),\n    displayMessage = $bindable(),\n    updateSetting\n  } = $props();\n</script>\n\n<Row cols={3} class=\"p-2 g-2\">\n  <!-- LINE WIDTH -->\n  <Col>\n    <Card class=\"h-100\">\n      <form\n        id=\"line-width-form\"\n        method=\"post\"\n        action=\"/frontend/configuration/\"\n        class=\"card-body\"\n        onsubmit={(e) => updateSetting(e, {\n          selector: \"#line-width-form\",\n          target: \"lw\",\n        })}\n      >\n        <!-- Svelte 'class' directive only on DOMs directly, normal 'class=\"xxx\"' does not work, so style-array it is. -->\n        <CardTitle\n          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n        >\n          <div>Line Width</div>\n          <!-- Expand If-Clause for clarity once -->\n          {#if displayMessage && message.target == \"lw\"}\n            <div style=\"margin-left: auto; font-size: 0.9em;\">\n              <code style=\"color: {message.color};\" out:fade>\n                Update: {message.msg}\n              </code>\n            </div>\n          {/if}\n        </CardTitle>\n        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_lineWidth\" />\n        <div class=\"mb-3\">\n          <label for=\"value\" class=\"form-label\">Line Width</label>\n          <input\n            type=\"number\"\n            class=\"form-control\"\n            id=\"lwvalue\"\n            name=\"value\"\n            aria-describedby=\"lineWidthHelp\"\n            value={config.plotConfiguration_lineWidth}\n            min=\"1\"\n          />\n          <div id=\"lineWidthHelp\" class=\"form-text\">\n            Width of the lines in the timeseries plots.\n          </div>\n        </div>\n        <Button color=\"primary\" type=\"submit\">Submit</Button>\n      </form>\n    </Card>\n  </Col>\n\n  <!-- PLOTS PER ROW -->\n  <Col>\n    <Card class=\"h-100\">\n      <form\n        id=\"plots-per-row-form\"\n        method=\"post\"\n        action=\"/frontend/configuration/\"\n        class=\"card-body\"\n        onsubmit={(e) => updateSetting(e, {\n          selector: \"#plots-per-row-form\",\n          target: \"ppr\",\n        })}\n      >\n        <!-- Svelte 'class' directive only on DOMs directly, normal 'class=\"xxx\"' does not work, so style-array it is. -->\n        <CardTitle\n          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n        >\n          <div>Plots per Row</div>\n          {#if displayMessage && message.target == \"ppr\"}\n            <div style=\"margin-left: auto; font-size: 0.9em;\">\n              <code style=\"color: {message.color};\" out:fade>\n                Update: {message.msg}\n              </code>\n            </div>\n          {/if}\n        </CardTitle>\n        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_plotsPerRow\" />\n        <div class=\"mb-3\">\n          <label for=\"value\" class=\"form-label\">Plots per Row</label>\n          <input\n            type=\"number\"\n            class=\"form-control\"\n            id=\"pprvalue\"\n            name=\"value\"\n            aria-describedby=\"plotsperrowHelp\"\n            value={config.plotConfiguration_plotsPerRow}\n            min=\"1\"\n          />\n          <div id=\"plotsperrowHelp\" class=\"form-text\">\n            How many plots to show next to each other on pages such as\n            /monitoring/job/, /monitoring/system/...\n          </div>\n        </div>\n        <Button color=\"primary\" type=\"submit\">Submit</Button>\n      </form>\n    </Card>\n  </Col>\n\n  <!-- BACKGROUND -->\n  <Col class=\"d-flex justify-content-between\">\n    <Card class=\"h-100\" style=\"width: 49%;\">\n      <form\n        id=\"backgrounds-form\"\n        method=\"post\"\n        action=\"/frontend/configuration/\"\n        class=\"card-body\"\n        onsubmit={(e) => updateSetting(e, {\n          selector: \"#backgrounds-form\",\n          target: \"bg\",\n        })}\n      >\n        <!-- Svelte 'class' directive only on DOMs directly, normal 'class=\"xxx\"' does not work, so style-array it is. -->\n        <CardTitle\n          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n        >\n          <div>Colored Backgrounds</div>\n          {#if displayMessage && message.target == \"bg\"}\n            <div style=\"margin-left: auto; font-size: 0.9em;\">\n              <code style=\"color: {message.color};\" out:fade>\n                Update: {message.msg}\n              </code>\n            </div>\n          {/if}\n        </CardTitle>\n        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_colorBackground\" />\n        <div class=\"mb-3\">\n          <div>\n            {#if config.plotConfiguration_colorBackground}\n              <input type=\"radio\" id=\"colb-true-checked\" name=\"value\" value=\"true\" checked />\n            {:else}\n              <input type=\"radio\" id=\"colb-true\" name=\"value\" value=\"true\" />\n            {/if}\n            <label for=\"true\">Yes</label>\n          </div>\n          <div>\n            {#if config.plotConfiguration_colorBackground}\n              <input type=\"radio\" id=\"colb-false\" name=\"value\" value=\"false\" />\n            {:else}\n              <input type=\"radio\" id=\"colb-false-checked\" name=\"value\" value=\"false\" checked />\n            {/if}\n            <label for=\"false\">No</label>\n          </div>\n        </div>\n        <Button color=\"primary\" type=\"submit\">Submit</Button>\n      </form>\n    </Card>\n    <Card class=\"h-100\" style=\"width: 49%;\">\n      <form\n        id=\"colorblindmode-form\"\n        method=\"post\"\n        action=\"/frontend/configuration/\"\n        class=\"card-body\"\n        onsubmit={(e) => updateSetting(e, {\n          selector: \"#colorblindmode-form\",\n          target: \"cbm\",\n        })}\n      >\n        <!-- Svelte 'class' directive only on DOMs directly, normal 'class=\"xxx\"' does not work, so style-array it is. -->\n        <CardTitle\n          style=\"margin-bottom: 1em; 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display: flex; align-items: center;\"\n        >\n          <div>Line Width</div>\n          <!-- Expand If-Clause for clarity once -->\n          {#if displayMessage && message.target == \"lw\"}\n            <div style=\"margin-left: auto; font-size: 0.9em;\">\n              <code style=\"color: {message.color};\" out:fade>\n                Update: {message.msg}\n              </code>\n            </div>\n          {/if}\n        </CardTitle>\n        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_lineWidth\" />\n        <div class=\"mb-3\">\n          <label for=\"value\" class=\"form-label\">Line Width</label>\n          <input\n            type=\"number\"\n            class=\"form-control\"\n            id=\"lwvalue\"\n            name=\"value\"\n            aria-describedby=\"lineWidthHelp\"\n            value={config.plotConfiguration_lineWidth}\n            min=\"1\"\n          />\n          <div id=\"lineWidthHelp\" class=\"form-text\">\n            Width of the lines in the timeseries plots.\n          </div>\n        </div>\n        <Button color=\"primary\" type=\"submit\">Submit</Button>\n      </form>\n    </Card>\n  </Col>\n\n  <!-- PLOTS PER ROW -->\n  <Col>\n    <Card class=\"h-100\">\n      <form\n        id=\"plots-per-row-form\"\n        method=\"post\"\n        action=\"/frontend/configuration/\"\n        class=\"card-body\"\n        onsubmit={(e) => updateSetting(e, {\n          selector: \"#plots-per-row-form\",\n          target: \"ppr\",\n        })}\n      >\n        <!-- Svelte 'class' directive only on DOMs directly, normal 'class=\"xxx\"' does not work, so style-array it is. -->\n        <CardTitle\n          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n        >\n          <div>Plots per Row</div>\n          {#if displayMessage && message.target == \"ppr\"}\n            <div style=\"margin-left: auto; font-size: 0.9em;\">\n              <code style=\"color: {message.color};\" out:fade>\n                Update: {message.msg}\n              </code>\n            </div>\n          {/if}\n        </CardTitle>\n        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_plotsPerRow\" />\n        <div class=\"mb-3\">\n          <label for=\"value\" class=\"form-label\">Plots per Row</label>\n          <input\n            type=\"number\"\n            class=\"form-control\"\n            id=\"pprvalue\"\n            name=\"value\"\n            aria-describedby=\"plotsperrowHelp\"\n            value={config.plotConfiguration_plotsPerRow}\n            min=\"1\"\n          />\n          <div id=\"plotsperrowHelp\" class=\"form-text\">\n            How many plots to show next to each other on pages such as\n            /monitoring/job/, /monitoring/system/...\n          </div>\n        </div>\n        <Button color=\"primary\" type=\"submit\">Submit</Button>\n      </form>\n    </Card>\n  </Col>\n\n  <!-- BACKGROUND -->\n  <Col class=\"d-flex justify-content-between\">\n    <Card class=\"h-100\" style=\"width: 49%;\">\n      <form\n        id=\"backgrounds-form\"\n        method=\"post\"\n        action=\"/frontend/configuration/\"\n        class=\"card-body\"\n        onsubmit={(e) => updateSetting(e, {\n          selector: \"#backgrounds-form\",\n          target: \"bg\",\n        })}\n      >\n        <!-- Svelte 'class' directive only on DOMs directly, normal 'class=\"xxx\"' does not work, so style-array it is. -->\n        <CardTitle\n          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n        >\n          <div>Colored Backgrounds</div>\n          {#if displayMessage && message.target == \"bg\"}\n            <div style=\"margin-left: auto; font-size: 0.9em;\">\n              <code style=\"color: {message.color};\" out:fade>\n                Update: {message.msg}\n              </code>\n            </div>\n          {/if}\n        </CardTitle>\n        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_colorBackground\" />\n        <div class=\"mb-3\">\n          <div>\n            {#if config.plotConfiguration_colorBackground}\n              <input type=\"radio\" id=\"colb-true-checked\" name=\"value\" value=\"true\" checked />\n            {:else}\n              <input type=\"radio\" id=\"colb-true\" name=\"value\" value=\"true\" />\n            {/if}\n            <label for=\"true\">Yes</label>\n          </div>\n          <div>\n            {#if config.plotConfiguration_colorBackground}\n              <input type=\"radio\" id=\"colb-false\" name=\"value\" value=\"false\" />\n            {:else}\n              <input type=\"radio\" id=\"colb-false-checked\" name=\"value\" value=\"false\" checked />\n            {/if}\n            <label for=\"false\">No</label>\n          </div>\n        </div>\n        <Button color=\"primary\" type=\"submit\">Submit</Button>\n      </form>\n    </Card>\n    <Card class=\"h-100\" style=\"width: 49%;\">\n      <form\n        id=\"colorblindmode-form\"\n        method=\"post\"\n        action=\"/frontend/configuration/\"\n        class=\"card-body\"\n        onsubmit={(e) => updateSetting(e, {\n          selector: \"#colorblindmode-form\",\n          target: \"cbm\",\n        })}\n      >\n        <!-- Svelte 'class' directive only on DOMs directly, normal 'class=\"xxx\"' does not work, so style-array it is. -->\n        <CardTitle\n          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n        >\n          <div>Color Blind Mode</div>\n          {#if displayMessage && message.target == \"cbm\"}\n            <div style=\"margin-left: auto; font-size: 0.9em;\">\n              <code style=\"color: {message.color};\" out:fade>\n                Update: {message.msg}\n              </code>\n            </div>\n          {/if}\n        </CardTitle>\n        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_colorblindMode\" />\n        <div class=\"mb-3\">\n          <div>\n            {#if config?.plotConfiguration_colorblindMode}\n              <input type=\"radio\" id=\"cbm-true-checked\" name=\"value\" value=\"true\" checked />\n            {:else}\n              <input type=\"radio\" id=\"cbm-true\" name=\"value\" value=\"true\" />\n            {/if}\n            <label for=\"true\">Yes</label>\n          </div>\n          <div>\n            {#if config?.plotConfiguration_colorblindMode}\n              <input type=\"radio\" id=\"cbm-false\" name=\"value\" value=\"false\" />\n            {:else}\n              <input type=\"radio\" id=\"cbm-false-checked\" name=\"value\" value=\"false\" checked />\n            {/if}\n            <label for=\"false\">No</label>\n          </div>\n        </div>\n        <Button color=\"primary\" type=\"submit\">Submit</Button>\n      </form>\n    </Card>\n  </Col>\n</Row>","structuredPatch":[{"oldStart":16,"oldLines":6,"newStart":16,"newLines":7,"lines":["     Card,","     CardTitle,","   } from \"@sveltestrap/sveltestrap\";","+  import { getContext } from \"svelte\";","   import { fade } from \"svelte/transition\";"," ","   /* Svelte 5 Props */"]},{"oldStart":25,"oldLines":6,"newStart":26,"newLines":9,"lines":["     displayMessage = $bindable(),","     updateSetting","   } = $props();","+","+  const resampleConfig = getContext(\"resampling\");","+  const resamplingEnabled = !!resampleConfig;"," </script>"," "," <Row cols={3} class=\"p-2 g-2\">"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"11b85e69-5914-491c-8c2b-91b39bb39325","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
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+{"parentUuid":"360e3718-01c3-4027-b7d9-3afa7192c10a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Jy3ATVH7uFK3Tu1mUTGQ1k","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HEgtg8FQiULuqucRGAKZmq","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/tmp/cc-backend/web/frontend/src/config/user/PlotRenderOptions.svelte","old_string":"  </Col>\n</Row>","new_string":"  </Col>\n\n  {#if resamplingEnabled}\n  <!-- RESAMPLE POLICY -->\n  <Col>\n    <Card class=\"h-100\">\n      <form\n        id=\"resample-policy-form\"\n        method=\"post\"\n        action=\"/frontend/configuration/\"\n        class=\"card-body\"\n        onsubmit={(e) => updateSetting(e, {\n          selector: \"#resample-policy-form\",\n          target: \"rsp\",\n        })}\n      >\n        <CardTitle\n          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n        >\n          <div>Resample Policy</div>\n          {#if displayMessage && message.target == \"rsp\"}\n            <div style=\"margin-left: auto; font-size: 0.9em;\">\n              <code style=\"color: {message.color};\" out:fade>\n                Update: {message.msg}\n              </code>\n            </div>\n          {/if}\n        </CardTitle>\n        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_resamplePolicy\" />\n        <div class=\"mb-3\">\n          {#each [[\"\", \"Default\"], [\"low\", \"Low\"], [\"medium\", \"Medium\"], [\"high\", \"High\"]] as [val, label]}\n            <div>\n              <input type=\"radio\" id=\"rsp-{val || 'default'}\" name=\"value\" value={JSON.stringify(val)}\n                checked={(!config.plotConfiguration_resamplePolicy && val === \"\") || config.plotConfiguration_resamplePolicy === val} />\n              <label for=\"rsp-{val || 'default'}\">{label}</label>\n            </div>\n          {/each}\n          <div id=\"resamplePolicyHelp\" class=\"form-text\">\n            Controls how many data points are shown in metric plots. Low = fast overview (~200 points), Medium = balanced (~500), High = maximum detail (~1000).\n          </div>\n        </div>\n        <Button color=\"primary\" type=\"submit\">Submit</Button>\n      </form>\n    </Card>\n  </Col>\n\n  <!-- RESAMPLE ALGORITHM -->\n  <Col>\n    <Card class=\"h-100\">\n      <form\n        id=\"resample-algo-form\"\n        method=\"post\"\n        action=\"/frontend/configuration/\"\n        class=\"card-body\"\n        onsubmit={(e) => updateSetting(e, {\n          selector: \"#resample-algo-form\",\n          target: \"rsa\",\n        })}\n      >\n        <CardTitle\n          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n        >\n          <div>Resample Algorithm</div>\n          {#if displayMessage && message.target == \"rsa\"}\n            <div style=\"margin-left: auto; font-size: 0.9em;\">\n              <code style=\"color: {message.color};\" out:fade>\n                Update: {message.msg}\n              </code>\n            </div>\n          {/if}\n        </CardTitle>\n        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_resampleAlgo\" />\n        <div class=\"mb-3\">\n          {#each [[\"\", \"Default\"], [\"lttb\", \"LTTB\"], [\"average\", \"Average\"], [\"simple\", \"Simple\"]] as [val, label]}\n            <div>\n              <input type=\"radio\" id=\"rsa-{val || 'default'}\" name=\"value\" value={JSON.stringify(val)}\n                checked={(!config.plotConfiguration_resampleAlgo && val === \"\") || config.plotConfiguration_resampleAlgo === val} />\n              <label for=\"rsa-{val || 'default'}\">{label}</label>\n            </div>\n          {/each}\n          <div id=\"resampleAlgoHelp\" class=\"form-text\">\n            Algorithm used when downsampling time-series data. LTTB preserves visual shape, Average smooths data, Simple picks every Nth point.\n          </div>\n        </div>\n        <Button color=\"primary\" type=\"submit\">Submit</Button>\n      </form>\n    </Card>\n  </Col>\n  {/if}\n</Row>"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":422,"cache_read_input_tokens":62026,"output_tokens":1185,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":422,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDhYw8j6j1YXKQehgmyf","type":"assistant","uuid":"31e39bd6-618a-4af0-a57c-a0b1312ba72d","timestamp":"2026-03-20T04:27:48.747Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"31e39bd6-618a-4af0-a57c-a0b1312ba72d","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01HEgtg8FQiULuqucRGAKZmq","toolUseID":"toolu_01HEgtg8FQiULuqucRGAKZmq","timestamp":"2026-03-20T04:27:48.767Z","uuid":"987096b2-a0e3-41e7-9a7d-bf0e7800503d","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
+{"parentUuid":"31e39bd6-618a-4af0-a57c-a0b1312ba72d","isSidechain":false,"promptId":"0763b03c-10c2-419e-8e69-b6ee9bffed71","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HEgtg8FQiULuqucRGAKZmq","type":"tool_result","content":"The file /Users/jan/tmp/cc-backend/web/frontend/src/config/user/PlotRenderOptions.svelte has been updated successfully."}]},"uuid":"79d05525-d974-481a-85a5-b651c315e489","timestamp":"2026-03-20T04:27:48.767Z","toolUseResult":{"filePath":"/Users/jan/tmp/cc-backend/web/frontend/src/config/user/PlotRenderOptions.svelte","oldString":"  </Col>\n</Row>","newString":"  </Col>\n\n  {#if resamplingEnabled}\n  <!-- RESAMPLE POLICY -->\n  <Col>\n    <Card class=\"h-100\">\n      <form\n        id=\"resample-policy-form\"\n        method=\"post\"\n        action=\"/frontend/configuration/\"\n        class=\"card-body\"\n        onsubmit={(e) => updateSetting(e, {\n          selector: \"#resample-policy-form\",\n          target: \"rsp\",\n        })}\n      >\n        <CardTitle\n          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n        >\n          <div>Resample Policy</div>\n          {#if displayMessage && message.target == \"rsp\"}\n            <div style=\"margin-left: auto; font-size: 0.9em;\">\n              <code style=\"color: {message.color};\" out:fade>\n                Update: {message.msg}\n              </code>\n            </div>\n          {/if}\n        </CardTitle>\n        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_resamplePolicy\" />\n        <div class=\"mb-3\">\n          {#each [[\"\", \"Default\"], [\"low\", \"Low\"], [\"medium\", \"Medium\"], [\"high\", \"High\"]] as [val, label]}\n            <div>\n              <input type=\"radio\" id=\"rsp-{val || 'default'}\" name=\"value\" value={JSON.stringify(val)}\n                checked={(!config.plotConfiguration_resamplePolicy && val === \"\") || config.plotConfiguration_resamplePolicy === val} />\n              <label for=\"rsp-{val || 'default'}\">{label}</label>\n            </div>\n          {/each}\n          <div id=\"resamplePolicyHelp\" class=\"form-text\">\n            Controls how many data points are shown in metric plots. Low = fast overview (~200 points), Medium = balanced (~500), High = maximum detail (~1000).\n          </div>\n        </div>\n        <Button color=\"primary\" type=\"submit\">Submit</Button>\n      </form>\n    </Card>\n  </Col>\n\n  <!-- RESAMPLE ALGORITHM -->\n  <Col>\n    <Card class=\"h-100\">\n      <form\n        id=\"resample-algo-form\"\n        method=\"post\"\n        action=\"/frontend/configuration/\"\n        class=\"card-body\"\n        onsubmit={(e) => updateSetting(e, {\n          selector: \"#resample-algo-form\",\n          target: \"rsa\",\n        })}\n      >\n        <CardTitle\n          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n        >\n          <div>Resample Algorithm</div>\n          {#if displayMessage && message.target == \"rsa\"}\n            <div style=\"margin-left: auto; font-size: 0.9em;\">\n              <code style=\"color: {message.color};\" out:fade>\n                Update: {message.msg}\n              </code>\n            </div>\n          {/if}\n        </CardTitle>\n        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_resampleAlgo\" />\n        <div class=\"mb-3\">\n          {#each [[\"\", \"Default\"], [\"lttb\", \"LTTB\"], [\"average\", \"Average\"], [\"simple\", \"Simple\"]] as [val, label]}\n            <div>\n              <input type=\"radio\" id=\"rsa-{val || 'default'}\" name=\"value\" value={JSON.stringify(val)}\n                checked={(!config.plotConfiguration_resampleAlgo && val === \"\") || config.plotConfiguration_resampleAlgo === val} />\n              <label for=\"rsa-{val || 'default'}\">{label}</label>\n            </div>\n          {/each}\n          <div id=\"resampleAlgoHelp\" class=\"form-text\">\n            Algorithm used when downsampling time-series data. LTTB preserves visual shape, Average smooths data, Simple picks every Nth point.\n          </div>\n        </div>\n        <Button color=\"primary\" type=\"submit\">Submit</Button>\n      </form>\n    </Card>\n  </Col>\n  {/if}\n</Row>","originalFile":"<!--\n  @component Plot render option selection for users\n\n  Properties:\n  - `config Object`: Current cc-config\n  - `message Object`: Message to display on success or error [Bindable]\n  - `displayMessage Bool`: If to display message content [Bindable]\n  - `updateSetting Func`: The callback function to apply current option selection\n-->\n\n<script>\n  import {\n    Button,\n    Row,\n    Col,\n    Card,\n    CardTitle,\n  } from \"@sveltestrap/sveltestrap\";\n  import { getContext } from \"svelte\";\n  import { fade } from \"svelte/transition\";\n\n  /* Svelte 5 Props */\n  let {\n    config,\n    message = $bindable(),\n    displayMessage = $bindable(),\n    updateSetting\n  } = $props();\n\n  const resampleConfig = getContext(\"resampling\");\n  const resamplingEnabled = !!resampleConfig;\n</script>\n\n<Row cols={3} class=\"p-2 g-2\">\n  <!-- LINE WIDTH -->\n  <Col>\n    <Card class=\"h-100\">\n      <form\n        id=\"line-width-form\"\n        method=\"post\"\n        action=\"/frontend/configuration/\"\n        class=\"card-body\"\n        onsubmit={(e) => updateSetting(e, {\n          selector: \"#line-width-form\",\n          target: \"lw\",\n        })}\n      >\n        <!-- Svelte 'class' directive only on DOMs directly, normal 'class=\"xxx\"' does not work, so style-array it is. -->\n        <CardTitle\n          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n        >\n          <div>Line Width</div>\n          <!-- Expand If-Clause for clarity once -->\n          {#if displayMessage && message.target == \"lw\"}\n            <div style=\"margin-left: auto; font-size: 0.9em;\">\n              <code style=\"color: {message.color};\" out:fade>\n                Update: {message.msg}\n              </code>\n            </div>\n          {/if}\n        </CardTitle>\n        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_lineWidth\" />\n        <div class=\"mb-3\">\n          <label for=\"value\" class=\"form-label\">Line Width</label>\n          <input\n            type=\"number\"\n            class=\"form-control\"\n            id=\"lwvalue\"\n            name=\"value\"\n            aria-describedby=\"lineWidthHelp\"\n            value={config.plotConfiguration_lineWidth}\n            min=\"1\"\n          />\n          <div id=\"lineWidthHelp\" class=\"form-text\">\n            Width of the lines in the timeseries plots.\n          </div>\n        </div>\n        <Button color=\"primary\" type=\"submit\">Submit</Button>\n      </form>\n    </Card>\n  </Col>\n\n  <!-- PLOTS PER ROW -->\n  <Col>\n    <Card class=\"h-100\">\n      <form\n        id=\"plots-per-row-form\"\n        method=\"post\"\n        action=\"/frontend/configuration/\"\n        class=\"card-body\"\n        onsubmit={(e) => updateSetting(e, {\n          selector: \"#plots-per-row-form\",\n          target: \"ppr\",\n        })}\n      >\n        <!-- Svelte 'class' directive only on DOMs directly, normal 'class=\"xxx\"' does not work, so style-array it is. -->\n        <CardTitle\n          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n        >\n          <div>Plots per Row</div>\n          {#if displayMessage && message.target == \"ppr\"}\n            <div style=\"margin-left: auto; font-size: 0.9em;\">\n              <code style=\"color: {message.color};\" out:fade>\n                Update: {message.msg}\n              </code>\n            </div>\n          {/if}\n        </CardTitle>\n        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_plotsPerRow\" />\n        <div class=\"mb-3\">\n          <label for=\"value\" class=\"form-label\">Plots per Row</label>\n          <input\n            type=\"number\"\n            class=\"form-control\"\n            id=\"pprvalue\"\n            name=\"value\"\n            aria-describedby=\"plotsperrowHelp\"\n            value={config.plotConfiguration_plotsPerRow}\n            min=\"1\"\n          />\n          <div id=\"plotsperrowHelp\" class=\"form-text\">\n            How many plots to show next to each other on pages such as\n            /monitoring/job/, /monitoring/system/...\n          </div>\n        </div>\n        <Button color=\"primary\" type=\"submit\">Submit</Button>\n      </form>\n    </Card>\n  </Col>\n\n  <!-- BACKGROUND -->\n  <Col class=\"d-flex justify-content-between\">\n    <Card class=\"h-100\" style=\"width: 49%;\">\n      <form\n        id=\"backgrounds-form\"\n        method=\"post\"\n        action=\"/frontend/configuration/\"\n        class=\"card-body\"\n        onsubmit={(e) => updateSetting(e, {\n          selector: \"#backgrounds-form\",\n          target: \"bg\",\n        })}\n      >\n        <!-- Svelte 'class' directive only on DOMs directly, normal 'class=\"xxx\"' does not work, so style-array it is. -->\n        <CardTitle\n          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n        >\n          <div>Colored Backgrounds</div>\n          {#if displayMessage && message.target == \"bg\"}\n            <div style=\"margin-left: auto; font-size: 0.9em;\">\n              <code style=\"color: {message.color};\" out:fade>\n                Update: {message.msg}\n              </code>\n            </div>\n          {/if}\n        </CardTitle>\n        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_colorBackground\" />\n        <div class=\"mb-3\">\n          <div>\n            {#if config.plotConfiguration_colorBackground}\n              <input type=\"radio\" id=\"colb-true-checked\" name=\"value\" value=\"true\" checked />\n            {:else}\n              <input type=\"radio\" id=\"colb-true\" name=\"value\" value=\"true\" />\n            {/if}\n            <label for=\"true\">Yes</label>\n          </div>\n          <div>\n            {#if config.plotConfiguration_colorBackground}\n              <input type=\"radio\" id=\"colb-false\" name=\"value\" value=\"false\" />\n            {:else}\n              <input type=\"radio\" id=\"colb-false-checked\" name=\"value\" value=\"false\" checked />\n            {/if}\n            <label for=\"false\">No</label>\n          </div>\n        </div>\n        <Button color=\"primary\" type=\"submit\">Submit</Button>\n      </form>\n    </Card>\n    <Card class=\"h-100\" style=\"width: 49%;\">\n      <form\n        id=\"colorblindmode-form\"\n        method=\"post\"\n        action=\"/frontend/configuration/\"\n        class=\"card-body\"\n        onsubmit={(e) => updateSetting(e, {\n          selector: \"#colorblindmode-form\",\n          target: \"cbm\",\n        })}\n      >\n        <!-- Svelte 'class' directive only on DOMs directly, normal 'class=\"xxx\"' does not work, so style-array it is. -->\n        <CardTitle\n          style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n        >\n          <div>Color Blind Mode</div>\n          {#if displayMessage && message.target == \"cbm\"}\n            <div style=\"margin-left: auto; font-size: 0.9em;\">\n              <code style=\"color: {message.color};\" out:fade>\n                Update: {message.msg}\n              </code>\n            </div>\n          {/if}\n        </CardTitle>\n        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_colorblindMode\" />\n        <div class=\"mb-3\">\n          <div>\n            {#if config?.plotConfiguration_colorblindMode}\n              <input type=\"radio\" id=\"cbm-true-checked\" name=\"value\" value=\"true\" checked />\n            {:else}\n              <input type=\"radio\" id=\"cbm-true\" name=\"value\" value=\"true\" />\n            {/if}\n            <label for=\"true\">Yes</label>\n          </div>\n          <div>\n            {#if config?.plotConfiguration_colorblindMode}\n              <input type=\"radio\" id=\"cbm-false\" name=\"value\" value=\"false\" />\n            {:else}\n              <input type=\"radio\" id=\"cbm-false-checked\" name=\"value\" value=\"false\" checked />\n            {/if}\n            <label for=\"false\">No</label>\n          </div>\n        </div>\n        <Button color=\"primary\" type=\"submit\">Submit</Button>\n      </form>\n    </Card>\n  </Col>\n</Row>","structuredPatch":[{"oldStart":223,"oldLines":4,"newStart":223,"newLines":92,"lines":["       </form>","     </Card>","   </Col>","+","+  {#if resamplingEnabled}","+  <!-- RESAMPLE POLICY -->","+  <Col>","+    <Card class=\"h-100\">","+      <form","+        id=\"resample-policy-form\"","+        method=\"post\"","+        action=\"/frontend/configuration/\"","+        class=\"card-body\"","+        onsubmit={(e) => updateSetting(e, {","+          selector: \"#resample-policy-form\",","+          target: \"rsp\",","+        })}","+      >","+        <CardTitle","+          style=\"margin-bottom: 1em; display: flex; align-items: center;\"","+        >","+          <div>Resample Policy</div>","+          {#if displayMessage && message.target == \"rsp\"}","+            <div style=\"margin-left: auto; font-size: 0.9em;\">","+              <code style=\"color: {message.color};\" out:fade>","+                Update: {message.msg}","+              </code>","+            </div>","+          {/if}","+        </CardTitle>","+        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_resamplePolicy\" />","+        <div class=\"mb-3\">","+          {#each [[\"\", \"Default\"], [\"low\", \"Low\"], [\"medium\", \"Medium\"], [\"high\", \"High\"]] as [val, label]}","+            <div>","+              <input type=\"radio\" id=\"rsp-{val || 'default'}\" name=\"value\" value={JSON.stringify(val)}","+                checked={(!config.plotConfiguration_resamplePolicy && val === \"\") || config.plotConfiguration_resamplePolicy === val} />","+              <label for=\"rsp-{val || 'default'}\">{label}</label>","+            </div>","+          {/each}","+          <div id=\"resamplePolicyHelp\" class=\"form-text\">","+            Controls how many data points are shown in metric plots. Low = fast overview (~200 points), Medium = balanced (~500), High = maximum detail (~1000).","+          </div>","+        </div>","+        <Button color=\"primary\" type=\"submit\">Submit</Button>","+      </form>","+    </Card>","+  </Col>","+","+  <!-- RESAMPLE ALGORITHM -->","+  <Col>","+    <Card class=\"h-100\">","+      <form","+        id=\"resample-algo-form\"","+        method=\"post\"","+        action=\"/frontend/configuration/\"","+        class=\"card-body\"","+        onsubmit={(e) => updateSetting(e, {","+          selector: \"#resample-algo-form\",","+          target: \"rsa\",","+        })}","+      >","+        <CardTitle","+          style=\"margin-bottom: 1em; display: flex; align-items: center;\"","+        >","+          <div>Resample Algorithm</div>","+          {#if displayMessage && message.target == \"rsa\"}","+            <div style=\"margin-left: auto; font-size: 0.9em;\">","+              <code style=\"color: {message.color};\" out:fade>","+                Update: {message.msg}","+              </code>","+            </div>","+          {/if}","+        </CardTitle>","+        <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_resampleAlgo\" />","+        <div class=\"mb-3\">","+          {#each [[\"\", \"Default\"], [\"lttb\", \"LTTB\"], [\"average\", \"Average\"], [\"simple\", \"Simple\"]] as [val, label]}","+            <div>","+              <input type=\"radio\" id=\"rsa-{val || 'default'}\" name=\"value\" value={JSON.stringify(val)}","+                checked={(!config.plotConfiguration_resampleAlgo && val === \"\") || config.plotConfiguration_resampleAlgo === val} />","+              <label for=\"rsa-{val || 'default'}\">{label}</label>","+            </div>","+          {/each}","+          <div id=\"resampleAlgoHelp\" class=\"form-text\">","+            Algorithm used when downsampling time-series data. LTTB preserves visual shape, Average smooths data, Simple picks every Nth point.","+          </div>","+        </div>","+        <Button color=\"primary\" type=\"submit\">Submit</Button>","+      </form>","+    </Card>","+  </Col>","+  {/if}"," </Row>","\\ No newline at end of file"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"31e39bd6-618a-4af0-a57c-a0b1312ba72d","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
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+{"parentUuid":"b27bc5b8-8681-4bd4-a501-5ef4a99226a8","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01MafR4sFUYLrsobTxgfUcBK","type":"message","role":"assistant","content":[{"type":"text","text":"All tests pass. Here's a summary of what was implemented:\n\n## Changes Made\n\n### New files\n- **`internal/metricdispatch/resamplepolicy.go`** — Policy constants (`low`/`medium`/`high`) with target points (200/500/1000) and `ComputeResolution()` helper that dynamically computes resampling resolution from duration, frequency, and target points\n- **`internal/metricdispatch/resamplepolicy_test.go`** — Tests covering all policies, edge cases, and the examples from the plan\n- **`internal/graph/resample.go`** — Resolver helpers `resolveResolutionFromPolicy()` and `resolveResampleAlgo()` that read user preferences from the config DB\n\n### Modified files\n- **`internal/config/config.go`** — Added `TargetPoints` field to `ResampleConfig` for policy-derived configs\n- **`web/web.go`** — Added `ResampleAlgo`/`ResamplePolicy` to `PlotConfiguration` struct and `UIDefaultsMap`\n- **`internal/graph/schema.resolvers.go`** — `JobMetrics` and `NodeMetricsList` resolvers now check user policy/algo preferences before falling back to global config\n- **`internal/routerconfig/routes.go`** — Added `resamplingForUser()` that builds a policy-derived `ResampleConfig` with `targetPoints` and `trigger` when a user has a policy set\n- **`web/frontend/src/generic/plots/MetricPlot.svelte`** — Zoom handler now supports dynamic resolution computation from `targetPoints` (policy-based) alongside existing array-based logic\n- **`web/frontend/src/config/user/PlotRenderOptions.svelte`** — Two new settings cards (Resample Policy and Resample Algorithm) shown only when resampling is globally enabled"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":877,"cache_read_input_tokens":64647,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":877},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDhcGnkfu2G9n1LUUfPZ","type":"assistant","uuid":"a8d86c9a-154c-4462-b7d8-7fe7362f7cb5","timestamp":"2026-03-20T04:28:30.952Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/tmp/cc-backend","sessionId":"ca61dfb6-2cd8-4567-be60-1c9648d324e4","version":"2.1.79","gitBranch":"feature/526-average-resample","slug":"logical-wobbling-dahl"}
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diff --git a/f6/9e38210bb1/0/metadata.json b/f6/9e38210bb1/0/metadata.json
new file mode 100644
index 00000000..77beec0c
--- /dev/null
+++ b/f6/9e38210bb1/0/metadata.json
@@ -0,0 +1,41 @@
+{
+  "cli_version": "0.5.1",
+  "checkpoint_id": "f69e38210bb1",
+  "session_id": "ca61dfb6-2cd8-4567-be60-1c9648d324e4",
+  "strategy": "manual-commit",
+  "created_at": "2026-03-20T04:34:16.137168Z",
+  "branch": "feature/526-average-resample",
+  "checkpoints_count": 1,
+  "files_touched": [
+    "internal/config/config.go",
+    "internal/graph/resample.go",
+    "internal/graph/schema.resolvers.go",
+    "internal/metricdispatch/resamplepolicy.go",
+    "internal/metricdispatch/resamplepolicy_test.go",
+    "internal/routerConfig/routes.go",
+    "web/frontend/src/config/user/PlotRenderOptions.svelte",
+    "web/frontend/src/generic/plots/MetricPlot.svelte",
+    "web/web.go"
+  ],
+  "agent": "Claude Code",
+  "turn_id": "d9828c448cdd",
+  "token_usage": {
+    "input_tokens": 40,
+    "cache_creation_tokens": 50901,
+    "cache_read_tokens": 1893591,
+    "output_tokens": 13635,
+    "api_call_count": 38
+  },
+  "session_metrics": {
+    "turn_count": 1
+  },
+  "initial_attribution": {
+    "calculated_at": "2026-03-20T04:34:15.961949Z",
+    "agent_lines": 400,
+    "human_added": 0,
+    "human_modified": 0,
+    "human_removed": 0,
+    "total_committed": 400,
+    "agent_percentage": 100
+  }
+}
diff --git a/f6/9e38210bb1/metadata.json b/f6/9e38210bb1/metadata.json
new file mode 100644
index 00000000..37afda17
--- /dev/null
+++ b/f6/9e38210bb1/metadata.json
@@ -0,0 +1,33 @@
+{
+  "cli_version": "0.5.1",
+  "checkpoint_id": "f69e38210bb1",
+  "strategy": "manual-commit",
+  "branch": "feature/526-average-resample",
+  "checkpoints_count": 1,
+  "files_touched": [
+    "internal/config/config.go",
+    "internal/graph/resample.go",
+    "internal/graph/schema.resolvers.go",
+    "internal/metricdispatch/resamplepolicy.go",
+    "internal/metricdispatch/resamplepolicy_test.go",
+    "internal/routerConfig/routes.go",
+    "web/frontend/src/config/user/PlotRenderOptions.svelte",
+    "web/frontend/src/generic/plots/MetricPlot.svelte",
+    "web/web.go"
+  ],
+  "sessions": [
+    {
+      "metadata": "/f6/9e38210bb1/0/metadata.json",
+      "transcript": "/f6/9e38210bb1/0/full.jsonl",
+      "content_hash": "/f6/9e38210bb1/0/content_hash.txt",
+      "prompt": ""
+    }
+  ],
+  "token_usage": {
+    "input_tokens": 40,
+    "cache_creation_tokens": 50901,
+    "cache_read_tokens": 1893591,
+    "output_tokens": 13635,
+    "api_call_count": 38
+  }
+}